ipywidgets.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tutorials followed creating the notebook:\n",
    "\n",
    " - https://ipython-books.github.io/33-mastering-widgets-in-the-jupyter-notebook/\n",
    " - https://bretahajek.com/2017/02/widgets-jupyter-ipwigdets/\n",
    " - https://blog.dominodatalab.com/interactive-dashboards-in-jupyter/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ebbff1f289e2429fbbe7bf1b94390c7a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=5, description='x', max=15, min=-5), Output()), _dom_classes=('widget-in…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import ipywidgets as widgets\n",
    "\n",
    "@widgets.interact\n",
    "def f(x=5):\n",
    "    print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c50919a5800341a4a6b21d3a910bd09a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=5, description='x', max=15, min=-5), Output()), _dom_classes=('widget-in…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.f(x=5)>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# It is the same as\n",
    "widgets.interact(f, x=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "510adceb8fef4c0e9dcafa8e703c397a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=5, description='x', max=15, min=-5), Output()), _dom_classes=('widget-in…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.f(x=5)>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "widgets.interact(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1c23a8747a614035a573b8df8ee71025",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='x', options=('a', 'b', 'c'), value='a'), Button(description='Run I…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.f(x=5)>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Normal slider runs the code whenever the value is changed\n",
    "# interact_manual provides a button to run the function manually, useful for long lasting functions\n",
    "widgets.interact_manual(f, x=['a', 'b', 'c'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d1b438eb11b8443aaeaee18cd3886fe8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=5, description='x', max=9, min=3), Output()), _dom_classes=('widget-inte…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.f(x=5)>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Giving a range\n",
    "widgets.interact(f, x=(3, 9))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "922d3c630e414316b6cb0a3ca35b959b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=5, description='x', max=15, min=-5), Output()), _dom_classes=('widget-in…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.f(x=5)>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Giving a list of options\n",
    "widgets.interact(f, x=['this', 'that'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4f101e317966484a844e540644bdea13",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Checkbox(value=True, description='x'), Output()), _dom_classes=('widget-interact',))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.f(x=5)>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Giving True/False state\n",
    "widgets.interact(f, x=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Accordion',\n",
       " 'Audio',\n",
       " 'BoundedFloatText',\n",
       " 'BoundedIntText',\n",
       " 'Box',\n",
       " 'Button',\n",
       " 'ButtonStyle',\n",
       " 'CallbackDispatcher',\n",
       " 'Checkbox',\n",
       " 'Color',\n",
       " 'ColorPicker',\n",
       " 'Controller',\n",
       " 'CoreWidget',\n",
       " 'DOMWidget',\n",
       " 'DatePicker',\n",
       " 'Datetime',\n",
       " 'Dropdown',\n",
       " 'FloatLogSlider',\n",
       " 'FloatProgress',\n",
       " 'FloatRangeSlider',\n",
       " 'FloatSlider',\n",
       " 'FloatText',\n",
       " 'GridBox',\n",
       " 'HBox',\n",
       " 'HTML',\n",
       " 'HTMLMath',\n",
       " 'Image',\n",
       " 'IntProgress',\n",
       " 'IntRangeSlider',\n",
       " 'IntSlider',\n",
       " 'IntText',\n",
       " 'Label',\n",
       " 'Layout',\n",
       " 'NumberFormat',\n",
       " 'Output',\n",
       " 'Password',\n",
       " 'Play',\n",
       " 'RadioButtons',\n",
       " 'Select',\n",
       " 'SelectMultiple',\n",
       " 'SelectionRangeSlider',\n",
       " 'SelectionSlider',\n",
       " 'SliderStyle',\n",
       " 'Style',\n",
       " 'Tab',\n",
       " 'Text',\n",
       " 'Textarea',\n",
       " 'ToggleButton',\n",
       " 'ToggleButtons',\n",
       " 'ToggleButtonsStyle',\n",
       " 'VBox',\n",
       " 'Valid',\n",
       " 'ValueWidget',\n",
       " 'Video',\n",
       " 'Widget',\n",
       " '__builtins__',\n",
       " '__cached__',\n",
       " '__doc__',\n",
       " '__file__',\n",
       " '__jupyter_widgets_base_version__',\n",
       " '__jupyter_widgets_controls_version__',\n",
       " '__loader__',\n",
       " '__name__',\n",
       " '__package__',\n",
       " '__path__',\n",
       " '__protocol_version__',\n",
       " '__spec__',\n",
       " '__version__',\n",
       " '_handle_ipython',\n",
       " '_version',\n",
       " 'dlink',\n",
       " 'docutils',\n",
       " 'domwidget',\n",
       " 'fixed',\n",
       " 'get_ipython',\n",
       " 'handle_kernel',\n",
       " 'interact',\n",
       " 'interact_manual',\n",
       " 'interaction',\n",
       " 'interactive',\n",
       " 'interactive_output',\n",
       " 'jsdlink',\n",
       " 'jslink',\n",
       " 'link',\n",
       " 'load_ipython_extension',\n",
       " 'os',\n",
       " 'register',\n",
       " 'register_comm_target',\n",
       " 'trait_types',\n",
       " 'valuewidget',\n",
       " 'version_info',\n",
       " 'widget',\n",
       " 'widget_bool',\n",
       " 'widget_box',\n",
       " 'widget_button',\n",
       " 'widget_color',\n",
       " 'widget_controller',\n",
       " 'widget_core',\n",
       " 'widget_date',\n",
       " 'widget_description',\n",
       " 'widget_float',\n",
       " 'widget_int',\n",
       " 'widget_layout',\n",
       " 'widget_link',\n",
       " 'widget_media',\n",
       " 'widget_output',\n",
       " 'widget_selection',\n",
       " 'widget_selectioncontainer',\n",
       " 'widget_serialization',\n",
       " 'widget_string',\n",
       " 'widget_style',\n",
       " 'widgets']"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We can create our widgets too\n",
    "dir(widgets)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "671fa456f6f54a15877926e405bc1ea3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FloatSlider(value=2.0, description='Frequency:', max=10.0, min=1.0)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "freq_slider = widgets.FloatSlider(\n",
    "    value=2.,\n",
    "    min=1.,\n",
    "    max=10.0,\n",
    "    step=0.1,\n",
    "    description='Frequency:',\n",
    "    readout_format='.2f',\n",
    ")\n",
    "freq_slider"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c47a3a382cca420baa08579c4e5176df",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=2.7, description='x', max=8.100000000000001, min=-2.7), Output()), _do…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.f(x=5)>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "widgets.interact(f, x=freq_slider.value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b0cda6629b5c417f9620c7e0ee241e5d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatRangeSlider(value=(-1.0, 1.0), description='xlim:', max=5.0, min=-5.0, readout_form…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.f(x=5)>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "range_slider = widgets.FloatRangeSlider(\n",
    "    value=[-1., +1.],\n",
    "    min=-5., max=+5., step=0.1,\n",
    "    description='xlim:',\n",
    "    readout_format='.1f',\n",
    ")\n",
    "widgets.interact(f, x=range_slider)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b3301f1712594d00826a4b7947d2dada",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Checkbox(value=False, description='x'), Output()), _dom_classes=('widget-interact',))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.f(x=5)>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid_button = widgets.ToggleButton(\n",
    "    value=False,\n",
    "    description='Grid',\n",
    "    icon='check'\n",
    ")\n",
    "widgets.interact(f, x=grid_button.value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "436c61fcb74a4c3380b18ee854dc577c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Text(value='Hello World', description='x'), Output()), _dom_classes=('widget-interact',)…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.f(x=5)>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "title_textbox = widgets.Text(\n",
    "    value='Hello World',\n",
    "    description='Title:',\n",
    ")\n",
    "widgets.interact(f, x=title_textbox.value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fbb167e8bf384230bacaa881096ba0b6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(ColorPicker(value='#efefef', concise=True, description='Background color:'), Output()), …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.f(x=5)>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "color_picker = widgets.ColorPicker(\n",
    "    concise=True,\n",
    "    description='Background color:',\n",
    "    value='#efefef',\n",
    ")\n",
    "widgets.interact(f, x=color_picker)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d02bcd79f16843cf93eaa3c3c6c5687f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(Tab(children=(VBox(children=(FloatSlider(value=5.0, description='Frequency:', max=10.0, min=1.0…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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8nPNwhtNAefmAQIbJMpZCZjc3B06JiE5UEbxSlyEm8PTpweQA8j9QecJRLLJLl4LJNmkSTR9lI4FqzGFvIa8hE+aj6B8QcAoBmCeCIhtGVArOVE6dyniThTNldILaU5f5qBQclVKX5019fbCmKRQc5Zij5nae9SfOleUNRR8FF4V8CBsJ/f3536UvEF6py5AXbWNjsNAolLCYcFOm0E04xmgWmSzsKZS6SGHIeT1KI0Hw5Qkdy+F3MeY8hod8DxsaAiufMvxOlVNnLPBcKZSwHH6n8rjCY6YqvJP58sybqKhWnnso84nf1AqOSqk3N9MoYVmpm4qGUt9DgObb7gqCV+oyZKUulCa11UeRo5eNBPFZHj6ATqkPDAShXZNKPW/KQQ6/U4xZDkWL364VygnBxxitUqf01Klz6mG+vPlgaoUk84k+uqjUJ08eC0UDdNEJymgo5ZjDRoL4rErglboMuboVoFfCVIssPOEowmFUi0wObQNmlDqQv491dYGwovbUxW/Xwu/hULS4Rp7+ib5RCD7xzjd1Tp1yzGKOTJ7stlKfPJmWL+y1Uo25ri6IAOTh49xM+D085irKq3ulLkMuhAHMWH2U1fTUOXWRcsjDJ0c7BG/eMcvCmcqQmTJlLBydly+s1KmUMGUoOmwkiGvk6R8QcNbVBfczD59sJAhe6vC7fJ0sEHPEdaUeVnB58sHUSl2WN4IzD9/gYKDY5egl5T30nnqVg1ohDQ8HP5Q59ajwO5VCokg5hAUVVR2BUL4UY+7vN3cPgfxKnfOJoWOR1siKKAVHFX4Xfcwj+EykMMKvBcrXyYK+vvFV0QCN529SqcvXoeKjNmQo1x61I+Y99SpHWLDktfrChTBTpgQhxjzCOVxNL18nC8KLIq8SlkOUFHyCk1qpU/JRKyQxR8KedV4PKTxvqGoxgPxjNiGcqcPvsoIT88clTz0qFE3RR0oDmHrM1EaC4PSeeo0gynKmylfLv/MqYcoijr6+wPNoahrjpMo7Cj6XlXpTUzB+lzz1cCiayrM24alTKeEoz5/6vXcg/1oR84Yi5SCH84H893BoKAi1m1LqJjx1KscpHBmkSjlQFfMVCK/UZVArpHD+iCrUS80nQu+C0yVPXVQsU3sLon+M0T1nU14rhRI2kVNvbg5e4ROclOH8adMCJTU8nI+TulBOzD/BSamQ8tZORHmtgNtKneoehh2nvIWvlFGtguGVugwxEZqbg995J1xUaBvIr5CoC+UEn+CkVuoDA9kt56GhQLGHPfU8i1b21AVnHr6w10ql4KiVMGV+OTxv8nrWUZ66uE4WiF3+wnx5PWtZqZtQwi4rdaqUQ2Nj8CP66Jrj5D31GkJ//1gFOJBfwZlYZCaq3ymVejikmFcJRxkJ8nWycspKffJk+mId6kpwID+n4GtsDNIOecPlgg/Ir+DiohNZOan5gIlK3YQSdlGpCx7xGmje52z6Horr5OGk5CsYXqnLGBgYL+xd9NTlRUH1Opa8yEx46kB2TlNKnXLMly4FW3yKUPTkyWPfYpaVD5g4b6hCioKbyvMH6FIOVMJ0YCD4Leer8/ABxSj1wcEgykDFB9CPmcoLBuhz6nnHHC5S9Z56lSMqLEv9epf8uS7EK3Jiwol8MJUlLvroklIPe/4Uhgz1cw4rzObmIN2Q9S2HcPhd9FUoKl2Eq6IFZ1Y+0ZewcM5jdMQp4ayGQngeUoXfKY3+/v7xRap5FVJRSt01I0HwAHTyxle/1wj6+8fy6UD+fHBUWFb+XBfhCSz66FL4PU6pZx2zCU89LJwp7qEsqMQcyqo0xXmCMy/f4GDwWx5zc3M+pR5eK3n5xLmCM68hE+YT39FO6WXmjXYIPlGkeqUqderNbOTPs/RP5hNftOM99SpF2IPL+woadfg9PIHF35RKPa/lbDr8bspTz+tlhnP04vOsfMCYQhK/s/YxzCf+zquETSh1ce+oDKNwH4WBkwXhtE3eaEdUKBpwR6mPjgb3y6RSF2svq+NE7VmHZbb423vqVYqwcDYVysnLR13YRp1TF+9+Cz5xnax8Mk9DQ8DvUvg9SsGJ62Ttn8xDpeDChge1Uu/vz15H0N8feKyiKtrEmPMaHuG1QsEXZQxmNTzC8iavcRlee+JvynRfXscpzpCh4hN/e0+9SmHKU6eecOE+5lVIUQouj3CmNIzCnrrcxywQ771TVr/HKXUqL5Pa8xd/541ORI0567fnCT4Ris57D8OGkfjbNaUu802aFPzOyhlWSNR8QP5oR1x0Ik8f6+rGxmoixXkleuqMsbcyxvYzxg4xxj4WcfzzjLEdlZ8DjLFu6diodOwZiv5kRlROHchfgSs4qfjCCi7PhAsL5ylTglBY1oXrulIfHg7CipSWePgeXinh97AXLF8rC5/Jeyj+zltsaNrzB+iUcH19EPnIyheV7ss75nD9SV7DQ/CFjcGs8itqzHmN/oLRkJeAMVYP4C8BvBnACQBbGWPPcM73ijac89+R2v8WgNslin7O+W15+0GC/n5g5syx/ykE1aRJYxMubz5YTNSwEu7qysYn+hhlyPT1jf9cFVGviwm+LKBW6tR8QHAPxZcAAfRKWFRHU3ut3d3R7VWQFJ1oacnGR20kABM58z4Tk546tVIXnC576hRjppw3cWslz5gLBoWnvg7AIc75Yc75EIAnAbwzof0jAL5JcF16hL1Mau+jvj7ICWedIFHex+TJ+SacMDwEKJSwy566KaVOHX6vqxt7752xfMLZhKcejmpR5G8p7yF1+D1JwWVNVZlS6vLcnjSJlo9i3lDL2PB48/DFvSlyhSn1RQCOS/+fqHw2AYyx6wAsBfC89HEzY6ydMbaZMfbzBP3JjjhvIesDHRyc6O1SCGdZCedZtKOjQTg6SphShd/F31k9pCjBYkKpDw1l3/TDROhYzi8LTkqlPnmymZw6lQFsqvqdsmiMYq1QKnVRpCp2xBScLhUbxj3nPDI2LA/FdbL2T+YRf+cZc8HIHX4HwCI+izNd3wPgKc65LD2v5Zx3MsauB/A8Y2wX57xjwkUY2wBgAwDMnz8fbW1tObs9hlKphLa2NtzT04PzXV04UOGevm8f1gDYuWULuur07Z9VR49iJoDNUl/vq6vDmcOHcTBD/+dt24abAGzdtQuXKu/HruruxsyensvXEGNRQd3AAB4A0NHZieOVc+YdOoSbAGx58UX0HT+edHok3nDqFFi5jB0Vvrr+/uAae/devoYqSqUSOnbvxjIAL7W3Y7QiAN8wMADW13f5GjqYcvQo1gHYc/gwzlbOv6azM7jG97+PUVmAKeKu7m709PTg1QrftIMHsRbA7q1bcW7SJK1nAgDLOzpwVUMDfiydc09dHc4fPnx5bupg9pYtuBXAy3v3orfy2YoLFzCntxebMjyTttZWrB8YwNHTp3G0cv7cQ4dwM4CtL72ES6dOaffxlpMn0TQ8jG0VPjY8jAcBHN67F69lGPPCnTuxAsDGl1/G0NGjAIBb+/tRf+ECtmdYK5OPH8ddAPYeOYIzlXMWnziBGwC89MMfYlTeMlcR67q6cLGnB/sqfJev8fLLODNnjjKPGMcNhw7h6sZG/Ega0zrOcfHYscvX0MGs9na8AZV5UzEUbjh7FleXSuOuoYMHBgZw/PXXcaRy/qz9+4NrbNyI3osXtdfKTSdOYPLoKNqlcx5oaMDxAwcuX0MHC155BSsBbNq+HYMnTgAAbi6V0Hzu3LhrqEB3LGTgnOf6AXAPgO9J/38cwMdj2m4HcG8C19cA/HLaNdesWcMp0draGvzR0sL5Rz4yduCVVzgHOP/2t7MRv/vdnK9YMf6zRYs4/7Vfy8b3xBNBfw4eHPtswwbO58+//O/lsaigqyvg+8IXxj575pngs23bsvXxrrs4f/jhsf+HhwO+T39am6q1tTU4Dwh4BN7yFs7XrcvWv61bA76nnx777ItfDD47dy4b59VXB89BYO/egO+b3+Scaz4Tzjn/4AeDeSJj6VLO3/e+bP37l38J+rN9+9hnjz3G+ezZ2lStra2cDwwEfH/yJ2MHnn02+GzTpmx9fNObOL/vvrH/y2XOGeP8E5/Ixvd//k/Qn+7usc9+7uc4v+OOy/9qPRchC556auyzL30p+Oz06Wx9XLyY8w98YOz/Y8cCvi9/WYvm8jh+4zc4nzdv/MGbb+b8F34hW//+7d+C/mzdOvbZRz/K+aRJ2fhGRwO+//E/xj574YXgsx/+kHOeYa287W2c33nn+M+mTeP8d34nWx//4i+C/pw5M/bZu9/N+cqV2lTaY0kBgHauoJMpwu9bASxnjC1ljDUh8MYnVLEzxlYCmAVgk/TZLMbYpMrfcwHcB2Bv+NzCEJfvoQ6/5+GT+yX+pgxR5g1fhe9hQ0MQDswTomxsHMsvA+bCqC5VbptI21CFUeNC2/KxLJwyX946AuqcetzaA/JxymFe6nsoOKmfc9Y6AnEPqccs8wlOaplYReH33Eqdcz4C4DEA3wOwD8A/cc73MMYeZ4y9Q2r6CIAnKxaHwGoA7YyxVwC0AvgMl6rmC0W5HORVKYsuohZZngkSl+/JW3gXtciocuqCk8pIAPKNOSqnLsaf5z5Sbj4TNW+oc+p5NosxodTDhXKCM8+YGRt7c4CCDzCrhKnzy4IzrxMRNeYs+xEUYQwKTldqMSyAIqcOzvmzAJ4Nffap0P//I+K8jQBuoehDbpiacKatSMHH+fjCqqx81J664KQ0EqiVep7nzLn5ojHBSfme+uTJQd+Hh8crPhXEecHytbL0kVo4h4sNKTx1SqVelKeetag0TSaGZVsakqIdeQyP2bPHf5bXkGFsYmTwCqt+rw0U4cEB+SZI0iIbHqblc9lTN5VyyDJm4bG4ruDkfsl/Z+GMMxKy8onzqOeNy/eQ82DuyIqxsTFQKFRGguijK4ZMEdEOwU9pDF5p4feaAbUHB0Tn1PNMkMHB8e8vC76sfYyynF3z1OMWLaVhlGfMSXyU4XcT+WVxrSz9o+QT55nw1Kn4qBVc1Nqj2I/AtCHjmrwx8dpwHF/W/QgKhlfqAlGCj8JTp8xxxYUUs/bRhHA24S0U5X1Q3UMTwpkipx7OLwPZDA/BR72TF/WYKYWzKaVerWvFJU+9iHsIZP9eg4LhlbpAlKAShTYuhYbCE86Ul5lFwY2MBBu4RPWRsvhH8FEJ5zxjjrqH4n+XcupxxiC1p+5KdCIunF8uB/M0C5/gkPnkY3n5xP8uyRsg2hiknjcupTij+ICqyat7pS5QpHCm5hPHsvAB1el9ZBXOprwPSi/TRD44qn/iWBY+0Se5f1n5oooNBSf1PczaxyvVU5e/u0LwAXRjzvu9BnFGP7VhJI5VAbxSF0haZC69px434ai8zDx8cffQhKcuX0+XT+bIy5dkDLrutYpjukhKVWXhGx4OFDt1QWScUs+TcqAyZKLyy+L/anAiXE5VmQq/e6VeZUhSSNThctc8depCmKJyXHmUemPj2GfUKQzxv0s5ddMKLo9wjjISxP+uGDJF5JcFpyueely+WhzL0j+ATiaOjgbROpcNGQvwSl3AhEIyYTmbUHByH/N8k5wJT526jiAppEjpqZtQwnk2izFtDIr/qfmoox3y9XRQVPg979sxUWPOk6qiDEVTzxsT0VVqeWMBXqkLUE+QkZFgMUUtCurXu8SxLHyA24uMOvxeRLGh+D+LQkrKL4vNYrL00UROnSpcbiLaEVdNL19PBwMDQXRH/mInlwwjwUnpWRflqWeVD3H30IRhJF/PcXilLkBtOSeF17JWbpvKcVF51qa8D2rBQhntoBbOccZg3hx4NXjqReXUqeZNNaWqsvbR5XlTZHRVvp7j8EpdgHqCJE1gINs7j6bCYVRjTir+caU4sIhiQ8FJtT+2/H/W50yZU0/KgefJ0VMK5/BubYJPvp4OohRmXV32V16pFRznZpSwCU+dyrMuKtrhw+9ViiJDQ/JxXU7q8FpjY5BHD/fxSvLUGxqyb88Z95ybmvLNm7DXKl79yWooxAmqrMal3CeBrMJU9IFaqUf1D6AzjASnC15m0j0E6D11ysigiXso9szIwunD7zUCaoWU5LUCdIKF2msFajunHsUnKrcpjbempnyeOuWYh4ai+5eHT+ylTf8pAAAgAElEQVRTHu5jljGLc6KUsKhwzsIZp9SzRBOi5o3gpJYPlMalS05E0WPOup69Uq8RmAq/Uxd5mTYSAHc8dRFSNO2p5+kjdV1CnMeVx1OPUnB5PPUoPiB7dCJOqbs05iRPnTrlQLn2qD11inSf/DopkH/MRaUcfE69ypAUUqQuoJKP68BEOKwoTz3DazVMtDftqYs+UiskSq+VWgnn9dTjlHqtjjlu3mQdc5IBTLV3gPw/lYJraAjSdXmciHCEh9pxcsmQsQCv1AXilLqp8DuVEqYOrwH03kLGPtaJ17eKUOpZn3OSQjLhtVIpYeEtZVFIcd/Bnjf8Hvbgso5ZGJCUnn/SvKEsiMzKR7z2LnNSG/0momRUMla8TkppJFiAV+oCQvBRW5GmlbBLCi5NsGj2MVapmwq/51HCUQqJUsFRe63iy4qoPXUXwu9i3hQRfs865ri1IuaN7iuvafIm6/4GlGulqMhgVhmb9jqpD79XGajDstShIZFfDguqurpAAWT1Movw1DOOmcXll/PWJVAWPA0PF1M05lq43ISnTqWETdzDIsPvnOtXbicZCfJxXc44Q8blaEdWGZv0yl0WPkvwSl3AVFiWquhCLHJKhZQknL2nroY0r1XX4yqqaAzIp4SL9NR1OU3cQxMKSeSno/qoO+Y4hUT9KiSQb8zURgJAN+Y4RyzvN8kVDK/UBZIW7fBwEJbRQZr3oTtB4vgEZ55Xk8JwxFM3llOPCwFSKvWsHlfavHElXE7p+VOHy02kMEyE3+M8f4BOIeUZc1Geet49HajGHCe/RKoqSwrDArxSF0hbZLoPlFqwJCn1WvXUTW2oQR2RiVNw4no6iFNwWYW9KBqLMt6oPXVXUg5xfA0N2fjEOZTh96TXSYHsConKay2X49NzeZSwiRQG1VqJkzeCM0sfLcArdYEkYQ/Q5/UolXpWKzJJOOfx1KPeQwXoPHWxAxx1cSC1py6O6/IBdF5rnJEgPnPF8xfnh/nk43n5hMdFrYSpvVZxXLd/oj8UfCYUXNQmSOIaWYoD4+RD3nkTZQBnndsW4JW6AHU4rGilnmXCUb+aJO5hVNEYoM0ZWyjHWL5oQhF1CabywVR84jPqnLrLhXKC05XQcVxoG8juqRfhteaJyMQpTMpUlUtrxQK8UhegVuppYVQXJhy1cCa+h5c99SI8JOq6BFc8dRMKLi3CQ10cSL1WXAi/m4rwUOWXi5Y3gP2CSBNrxQK8UhegDoeZmnBF5EZFOF9XOJtS6lTCVOSXqb0Plz11U+H3OI8L0N+rfWgoiL7EVYJTphzyPGfqeVPNTgRlZDCPTKyri/5Cqix8aWvFK/UqQ7WH300oJN08PbFhRK7U4wr5svIB6ffQ5XljwlOXr6nLR5S2IVdIcTvUZeUTfUwyjKiLA112IvI856R7aHveWIJX6gJRG7sA9J51NYXDsihNQsMoNqcuPtPtX1wxEWAujEolnKn5xGfUhXJAtj4WEe0Qn7ngwRVlDIr6k1qUN67PG0vwSl3ARPV7Q0MQHpJhIqToSo4r6ZUVcT0NGPPUKd+9NRFSBCYag/X1gYC+koSzK3UEJrzWpCJV+ZqqKNqQccEYNLX2fE4dYIy9lTG2nzF2iDH2sYjjv8oYO8sY21H5+XXp2KOMsYOVn0cp+pMJ1DmuuNBQfX2g6F0IDVGHr4gNo6oOv1N71sLjovQ+TCkk1z11E3xZigNNjJnqdSxTxiB1uNyEYRTXxypR6g15CRhj9QD+EsCbAZwAsJUx9gznfG+o6bc454+Fzp0N4A8BrAXAAWyrnHshb7+0YSKnHjXhBKcri8zh8Du5Uk+7h6I4MJzbTeNMu4dRQiKtjw0RS9PEmE14XK7nRqn5gPgNfpI4TXiZRcwbl3LqRXnqTU1AX58enyVQeOrrABzinB/mnA8BeBLAOxXPfQuAH3DOuyqK/AcA3krQJ32YqH5PUuq2BRXn9CFA6pw6dcohKUcvrpFl50ATgirKsKDOjbounF0Jv6dV08vXVAX1mMVaLmLeuJSqiuLLWhxoIuVgARRKfRGA49L/JyqfhfFLjLGdjLGnGGPXaJ5rHibeU49T6i4IZ/HaUZGFK7qeuuhjUZ46YD90nDRvTIWOdWEidFzN4XcgGyd19buJeUO5u5qJ5xzVv6xfK2zCkLGA3OF3AFGxynCC6d8AfJNzPsgY+w0AXwfwkOK5wUUY2wBgAwDMnz8fbW1tmTscRqlUwmh/P06+/joOh3indnTgTgC7X34Z56ZOVeZc9dpraCmX8ZOIft7DObqOHcN+jTHM274dNwHYsn07+i6Mz06sOHcOc0olbGprQ6lUUro3df39eABAx/HjOB5qP2f/ftwCoH3jRpTOnlXu45quLgzW1WF3iI+NjuJBAEf278cxjTEvvHQJnDG88NJLEzyQW0slNFy6hJc1+Kbv3Ys1AHbu24eulpZxxxYdO4blAH70/PMYCR1Lwl29vejp6sKroX5Mee01rAOwd8cOlNatU56vNxw5gvl1dfhxRPu7OEfP8eMTrpWE2e3tuBXAy7t2oTf0pUQ3nD2L+X19kdeKQ6lUAh8awrFTp3A0dN7sV18NrrV5M3p7e5U5bz51CpOGhrAt3A/O8SBjOHbw4IRrJWHBrl1YCWBjezuGjh4df62LFzGpqwvbNNbKlKNHsQ7AnoMHcTbUfuHRo1gBYGNbG4Zmz1buY9y8mfT667gHwKs7d+K04phLpRJOJMybtcPD6O/sxJ4s82b37gnz5vrTp7F4YAAvasrgB2PmTcuePbgdwI4tW1BauVJ5rcTOGwD319fjVEcHOrLOmyNHxh27sacH07q7sUVzrVDqKWVwznP9ALgHwPek/z8O4OMJ7esB9FT+fgTA30jH/gbAI2nXXLNmDadE6/PPc84Y55/4xMSD+/ZxDnD+5JN6pO9+N+crV0YfW7qU8/e/X4/viSeCfhw8OPHYY49xPns255zz1tZWNb6uroDvC1+YeOw//iM4tnmzXh9vvpnzX/zFiZ+Xy/H3NwHHHnmE86am6IM/93Oc3367Xv9efDEY1w9+MPHYX/1VcKyzU49z4ULOf/3XJ37e0RHwfe1r6s+Ec843bOD86qujj61axfm73qXXv6efDvrR3j7x2O/9HudTpmjRtf7whwHf449PPPjcc8GxF17Q6+Nb3sL5unXRx5qbOf/oR/X4/vzPg36cPTvx2C/9Euc33cQ511gr27cHfP/yLxOPfeUrwbFjx/T6uGgR5x/84MTPT58O+L70JWWq1tbW5HmzZg3nP/uzev0T82bbtonHPvnJYD2Xy+p8IyPx82bz5uDYs8/qrZWkeTNnDucf/rA6F+ecf/GLQT/OnZt47P3vD+S2BrTGogAA7VxBJ1OE37cCWM4YW8oYawLwHgDPyA0YYwukf98BYF/l7+8BeJgxNosxNgvAw5XPCgUrl4MccxGhaMFpu+CpyFB0xi/SYGmhaOqcGUBX5EWdawWcqMWoU0nb1FrKoRrSNkkFmSbmje5e7WnhfLmNKqjlgw+/B+CcjzDGHkOgjOsBfJVzvocx9jgCy+IZAB9hjL0DwAiALgC/Wjm3izH2PxEYBgDwOOe8K2+fdMHSqqwB+zkuU0VjRSg4wamr1EdHi1u0pipwKeeNiVfaRkaCHdPC+ynEILF4sUYNGWPGYJFOhClDJqraPg+fbh9dryOwAIqcOjjnzwJ4NvTZp6S/P44gLB917lcBfJWiH1mh5H1YVnCpi0J3r3ZTSp2wOLDOVLGh6+/K2ohORG3IEwEjnvrQEDBtWvQxFzaLMWUMUkZ40taKRo3DuOunzRvVOiNT8iZu3uSRsVX+nrrfUQ6S91FUGNWUYNF5HStN8MltVEEcDmNx+21n5DMiWNJe06H21C0rpNTXDDX5Lren9riivugjD584N4oPoHvOeXYONLFWqORD0RGerK8u1tdHz5srbUe5aocxT91lhVS0p54lfzs8TBvtoFZIo6PBj+sKTu5PmA/Q4ry8Vlw3gF1ee+Vy/LzJ8zqWw/OmGtJ95PPGErxSR8UjBIrx4ASn7dBxFSwy5z31JCOhri7IN1IWPJnYRERuowAlT90FhVRU2obaaxWcthUStQFcLTn1JD5hjDkOr9SRIqjEXu0uTLiGhugdo6gVkiueuutKPYlPfO6yp55BISVGtVypI0jjGx4OBLQOnzg3ig+g81rF55QGtQNpm2qIDKbyAVVRLOeVOlIElfi81iYctaBKCikKThOeepbiwCKiHUD2avWicuoZnnPhnnrW3GgSn2ijwwcUawy6vi213EaHr8jiQBMytgpC8F6pI6VQDnAjHEY94YoMRYvPNQVVYvV7U1Og0IVBpoJq8LhMvLMdVzSWxVMX4cciPS5qBSfa6PDJ58rI47VS14sUNW+o10rWvdpNyNgkHSDaOA6v1GHBUzflfdhU6gYUHEv65isXUg4qnroLgoowwmOl+r3WolpFz5usfEWtPVPFgbYdJ0vwSh0pgkp8Tr0obE+4or0P6vfUXYhOqHhctkPRxMI50QAWrwO5UBxowgCmStsYiGoVquConQjxue0Ij4q88Tn16kBiSFF87vIio1ZIWd6VNeWpUwsWxpJDiq576tRGAkDnqQtOnTFzfuWG34uUD0NDevUnRRrUQPZ547LjZAleqcOgp16tgirLXu0G7mFqoRygP+bGxvjvnM7CJ/clqo8ueOqE91ApVaUz5jQ+U2PW6WO1pG3SIjK6m1MVlcIQn+uMeXQ0/vs6ADciPJbglToUBBV1Dtz1PKH43LL3UUedUy/SMALMKKRyWb84kFBQkRvANgwj+bqqfED0Puem1p4LYy4qMig4bRepek+9dpBa/a47QThXe91C93WsIhVS1kVGufkMdQjQBJ98bhSnbeFMnCckN4BtCWfdud3URB/hKbL6Xb6uClzPqduoSxBtHIdX6jBQ/a4y4QB9j6uoalTxuQueelGCypRh5IpCioIpT50qtA04kXJI5BObU7ke4QHo5o0LUS1Tay9NxvpCuepA4jax4nPq0JDcTpXzCrOcjeTU4/jEYqYWVDpjVin+ydLHIj31Wg2/xz0TgN6QoTYGqcecRcEV7URkiYZSRzsswSt1WMoTyu1UOa8wy1nplTZdYytOUDEWHLM5ZpXiH8Cqx6W0UVM15Eap7iFgZq3o9C/pi4Xk69hMVZlK9yXxca63Vzu1YWQJXqnDoPdBbemaWGRRxT+C07JSJ998Jk04m/AWaizCU7inPmnSmNLS4aROVRU9b3Seibg3lPLG9cigCRnrc+q1g9TwuwlLXG6nymmCL6r4R3BSLjIXNp8pWjibEPZyO1VOQq+V/D31KjBklIxBi9EJpUijfF0VmIh2yOeG4fq88Uq9ulBHXf2uIvgA+4ssLU9Ivch0vrqwXAYrl4tbtILTpqBSFc4WPa7E71MHzNxDuZ0qZzWE34nuoZJTIl9XBUljzrJXu8qYa03GWoJX6pAWBdWEqwYrkjoUTe0tmFq0JgyZalVwQjjrKpCGhqDiOwqm1ortyu2iDWDqlIh8XRUk3UPGshkycV8QI/rocqrKe+rVhbqRkbF9q6Pg+oSrlpCi3E6Vr9pz6i4ruAw7Bya+kQC4H0Z1Ya0QpzCUw+82I3k2Ul9yO1VO/y1ttYHETU4A9ydclnCYqTFTKWET9zBtzLarmE156knCWbOYL7HOAXBjzCbemih63gwPB+kqBShtCCRfVwUmnrMNY9BmMbIleKWOlE1OADcmHLHH5fwiK7r4R3BSpxyGh9XflS163gjOavDUVcectpujCWPQlNGvuFe70o6Y8nVVYCKq5bITofLFQjp8FuGVOgx66lfSIqNWwkWHZQWngefMVHcOJBb2lznTlLALnjrVWim6gEpci3LMmn1Uzqnb9qxdjvCk3UPxrHyhXHUg8YtDgDFhT+VxVUM4zHbKoegUhuDU5UurxYABpU49bzSMhFRP3bZwTuPLIpxNRbWS9ogAlPuotCOmfF0VmJAPRRcbyu3y8tXVBc/Le+rVASVPnXP1vdqpJ5z4Zi6XPXVTwrmozSUEJ/U9hORJqfABTkd4lDx13UiCOC+OD1B/zirCOcvOgdQKqakpeY8I0U4BRnLqJjxrSsOIujgwbd4A2fbktwCv1AGwpC0WAfoQIDUfYCYcZjPloOpx2c6NKswbpqrkqiDloOSpW8wvKwlnE1EtqoIsQFsJG9l8ZnjYjCGTxkddf0Ilb+Q+Og6v1KHgfVCHAE1YkSbCYS7nRkXY27YhY8JTpxJUacU/gpPaU3e5FkMc04kmWDIGVddfVeTUFaOhTHVzqqIjg+JaPqdeHVDyPgB7+WBTSp1aODc2koUUjYTDLCl1a556mrAHtEPRifvxi2vp7BxoY61kCb/bUOpU1e+6XwQ0Oho8wytprahEQ68kT50x9lbG2H7G2CHG2Mcijv8uY2wvY2wnY+w5xth10rFRxtiOys8zFP3RhZL3AdhX6kWGw0woTNFOlU8+L47TdnQijQ8anrotr5XaUwfowuUOjFlpbuvWESjMG7KcejWkMCqGh7X6E59THwNjrB7AXwJ4G4AbATzCGLsx1Gw7gLWc81sBPAXgs9Kxfs75bZWfd+TtTxYoeR8AXbicOpwvjlHm9Zqa9L4dS1VQ6d5DG3k9Sj4Qeh+6dQQGFFzNRLUoXws05amr5tTTlHp9fRBBc90wgvQ9HCp80nlxfFZTnJZA4amvA3CIc36Ycz4E4EkA75QbcM5bOed9lX83A1hMcF0yGPPUi7QiLYcAnffURUjYhqCiyqmbUuoaCs7YWkl7vcv2Wilyy1TN55xaKCeO2TaMFIx+7dc/qVIOXqmPwyIAx6X/T1Q+i8MHAfyH9H8zY6ydMbaZMfbzBP3RRmr1u6lCOZv5HmolTC3sqcds4w2CisAh89R135U14alTvyki7mGRtRjUa8VEjl60U0Bq+F0cU52HaTl6wWczqjU8nLxHhOi7zZSDJcSYx1qIWo2R7yUwxt4HYC2AB6WPr+WcdzLGrgfwPGNsF+e8I+LcDQA2AMD8+fPR1taWu+MCtw8O4lxvL3bHcM5+9VXcCmDbxo242N2dynfd/v1YCuCFTZvAozwQzrEewNH9+3FUYRzTDh3CWgC7DxzAuZj2t5RKaOzuRqlUUro395RKOH/+PA7EtF149ChWAPhxayuGW1pS+VYdP46Wchk/ieFrPnUKdwPY98oreH3BglS+q3bswI0AtuzYgb6ursg2d46M4NKJE9irMN76vj68EcCh48dxIqb9stdfx8L+frykOLduff111A8MYHtM+5l79+I2AIMXLyo9k0V79mA5gB9t2YKRGTMi27yxoQGdHR3oUOBrPnkyuOeHDuH1mPY3dndjanc3tiqOee3gIM50d8fe86sPH8YqAJtffBEDV1+dyresowML6uvxoxi+xu5u3AfgwO7d6FTo48yXX8ZtALbv3o2eGO9/zcAAhk6dUlsr5TLWj47iSGcnjsW0XdLZiSVDQ2hrbY03TiTccvo0GgcH8XIM3/S9e7EGwM72dnTFRTAkzLl0CQDw461bMXzwYGSb+xjDmSNHcFBl3pw+jbsBvHr4ME7HtF/V1YWW3t7Y9R7Gnd3duDRzZuy8mXfwIG4CMNDbq7RWrj90CIsaGmLXqljvHfv24bjKvNmxA7cB2LF3L7pjFPtt/f3gw8N4RXHMqrKYGhRK/QSAa6T/FwPoDDdijP00gD8A8CDn/LK5wznvrPw+zBhrA3A7gAlKnXP+twD+FgDWrl3L169fT9D1AJfKZbQsXIhYzkpeec2ttwL3359O2NoKAHjwTW+KX+SNjViycCGWqIxjyhQAwM133AHEtV+wAOjvx7Rp0+LHEcLC667Dwri2FeFw39q1wKKkwEsFf/VXwIwZ8dc+eRIAsHrZMqxW6d9rrwEA1t13H7BsWXSbmTMxdeZMXKXCd/48AOCGVatwQ1z7738fGB1Vvn+YNg2YMiW+fUU4TGlowD0qnO3tAID7H3oo4I5CczOuufpqXKPCt28fAGD1G94Qf88XLwZOnFAec3+5jKsWL46/553B0r/7jjuAFSvSCb/9bWDy5Pjr9/QAAFYsWYIVKn0cGAAA3H7XXcA990S3mTMHmDpVba1UPLOlK1ZgaVzbH/0IALD+/vuTvVuBadOAhob4a1eM6FtXr45f7xIO/fM/AwDuW78emDkzutHUqVg0bx4WqdzDAwcAAKtuvRWr4tr//d8De/eqr5XGRkxdtCh+3lQM96mNjbhThfP//T+guTn++pXntuzaa7FMha/i0d+2bh1w773RbebNA4aGlMfc1tamfn8IQRF+3wpgOWNsKWOsCcB7AIyrYmeM3Q7gbwC8g3N+Rvp8FmNsUuXvuQDuA7CXoE9aSM0TZsllJoUUAb1wmI1q1CyFJoQVveRj1skT6myAoZJTp3q9Sxyrhup33bVCySefF8dJvfYAPU7CtZJaKCeOUd5DQykHrfoTapktnxeFKyWnzjkfAfAYgO8B2AfgnzjnexhjjzPGRDX75wBMA/DPoVfXVgNoZ4y9AqAVwGc454UrdeXqdypBJTiroHCFvFCO6lvaxDHqHL3cNg2mqt+pBIuBWgwj1e8mhDO1gitSPpjIqesoYYuFuVqFcknPxIH6E1ugCL+Dc/4sgGdDn31K+vunY87bCOAWij7kQeHeh+CsgkWmVVxDrTDl8+I4qT110Tbt+am0y+J9NDSkR3hqzVNPEs66r2PZqgSX26bBRPU7Y/FFY6KPVeBEkHnqgtNmdMIS/I5y0KjopfLgBCelt6Az4VR3jJKvrdLHagijUr9LT+2pO24MpnrqWVNVsRdkdsesKuzltiqc1J46ZbrP4ts2WtXvjq8VW/BKHYrf0gbQeR+C09aE0wlF2/K4qEPRpnKjReYJBWeteeoue1ym1grhPEyVX4KTeu2NjATOgSpn0WvFdsrBErxSh2TpxqEaBJXr3oe4HrVgofY+5GunQTGk6LT30dioXhw4OgpWdIRHcFKnbWwXylF76jacCEBtzJwrpxycj2rppBwswSt1zgPvo+hCORPegglBRZUnFJwaCq5cdH7ZUBjVeU8dUHsuqpuSyNdOQy0YwIaMQa2cug1jUG6bhNHRQLHbWCs2Uw6W4JW66usgAL2CM2FFqnhcNrwPwakx5siNe2SYCK/JbVU4KfOEtkKKgNpzNjFvXM+N6tRiUM0b3UK5tJogwWlrrWjwWffU/SttNQCboWgDnrXSKyE2FBygLVjKaUrdlHCmUkiVa1WFp04snL2nnoC0eVNfH7ySpRp+t2UYyW2J+MheaROcPqd+BcJGIYzgNLDIlBSIKUOGeJFxFT6bKYe051wxSqx7H1eaUq+rS369izr1Zbn+JPWNBMFnov5EJ8JTDa+0qbxhpLo5lSV4pV4loehx/Yjjg6ICsRFSFJy6OfU0Puq6BECNU6X4p/I6lrU8IfVzrhYD2GXDSLQjfM7GPHWqeWMi/G5izI2N6TU8nKt/HbUleKWuMuE0w2HW8j0g9NQdyI0qeeqUwlnH41JRcJXjWiFFlxVStXjqKnwjI3bqT0ZH078CWHDqeOq2qt+JjUGrr7SpPBPR1mF4pa6iMIFsVh8lX9qOUTqvhFSJcE711F0v/qkcdz5PKLctkk+0s6HUYan+ROUNAsF5JeXUhfyyaQCrKnXHX2vzSl1DOFsXVGmhIShaujbe2Qa0lXBq9XtT09jueCr9E31I4gPoKsErx+tspW2on3ONKXWtqFaRoWhxXNVTt1H9rhPV0uAjXyvUkUZxbYfhlbpGGJVUsOgW66h6H1QKSWfRquSXxfWolTpA/zqWTU/dhMeVdB8NeVxWlbqKFwxLa0VV3mjIh5rIqTMGNDbajWopzhuv1F2HqnA2oYRrJaSo8q6/OK5TKEe5yEx5rQp9tOapa0R4yIRzlm/HsmFQw1JUy4Snrlr9riO/6uvTvyBGtE2DzlqphvC7V+qOw2b4nVrYw8ArbcShaCOeug0v04SnbtEYtKWQyKNarhvAOveQuvqd6vveBZ9oq8Inn5PAafX1T6/UawTVlFNP4wNhSFFY6pSLVnfzGZUcvXz9FL5x50Sh1nLqtpS66nPm3EwYtei1Yshr1fLUVfjKZbXXsSwag8qeuoohQ20M6qaWLMErdZ1FVgXCmcxTB9QXhQFBhaEh8KTwn+CTr5/CB6DYd7Yr1yPNqTc2jr0WRcUn2qrwAXRzW2VPcB0+0UcTa8XhQjllT12+fhKolbrOWlH9ghjXDWCL8Eq9Wjx1E8U/VErYQEhRyVPX8ZDEl/YUmV+uHCf31AF1r5CaTz4nidNWON9GUantnLpq9bt8/SRYNAaVDC2dGh4D88a/0uY6TFW/qygkAx4XqaeuqoRN3MPhYfqcuqWQInn1u3z9ovkAO8aggTCqVqFc0ly0XP2u/C1tgPtrhdq4NGFQe0/dcZgIKaZ957R8PWKPi3xRWBTO5Dl1W96HLcFiUTiTG4MG7qFyoVxTU3KER+w1byv8rlr9Ll8/CdReq45SV3VyAP9KWwy8Urel4HSte8o8IbVnrbrIdDefoc6pqxoJNgSV4KQWppaqmJ321HXWigqf4LTkZWp56jbnDdXrn7r3UHU7YO+p1wh0lDBleM2Qx0X2mg6gXyhHLJyV9n4H6KIdlQ0wrHjqOnuCy9dP66MtT90EH7FwVo5qqSp1GykMVIwTaiXscqpKZ94A9PUnXqk7Dpt5Qrl9Gie19wHQjdlEGFX1W9oAumiH4LQhqHT2BJevnwRqQWUqwqPaRyrPWnetpD0TwWnDMBodBdNJ9zk+b5QMYJ26BMBOes4ivFKnDodZtiKVvY+0HaMEp83NZ4pWcIA9T92EMWiigEo+J4mzCgxgK546tWFkKzJoov5E9fVPy/PGK3XXYdv7sOWpW/JadSr+lb6lTb5+Wh9N5EYVDI+aEVS1EtXSrX63YVixqaUAACAASURBVAya4JPbp3Gm8Ym1eSUawP6VNsfhvY94UG8+o1qIVvmCGPJX2iyFUUlDitTzpr4+qCVQ5OOi0jutj9WwVlw3gG3dQxUFx5h+H1UMYJ3qd0vRUO+puw5T3gd16FiRz/k8IZC+yCrHSTefsSicnfbUNYVz6jMRfawGpU49b2xUv5tScKrPWSfdV5eibnQ9dUsy1it11zE0hLLihHNaUFW8JyuCitrLrPCReurUhXIaxTrWQooGDJnUZ6LJd7l9Gp/cPo2TOlVlwpBRdSLSKv5NKThqA1iRz2kD2Cv1KoGqoKJ+pY36PfWKx+V8Tl1un8JHWv1uKuWg6qmrCueic6PimoqGh9OeeiVtQ76lsq21wnl6/UmVGIOqfE6nqq4kpc4YeytjbD9j7BBj7GMRxycxxr5VOf4TxtgS6djHK5/vZ4y9haI/WqgV76PCqSSoTL3eRbUDXOV46nNxoVBORam7Lpw1DBlSA5h6zJoGtRUD2FBUy2mlrlFsSL7Phtw+DuVy8LokpUFtEbmVOmOsHsBfAngbgBsBPMIYuzHU7IMALnDObwDweQB/Wjn3RgDvAXATgLcC+FKFrzgMD7vtfYg2qkqdai95wJ5wFkq96JyZ4FTlY0ytaEylj1XicRlZK8TGoHJO3fXqd7l9UXyiDfWYKT11W8agznbAFkHhqa8DcIhzfphzPgTgSQDvDLV5J4CvV/5+CsCbGGOs8vmTnPNBzvkRAIcqfMVBx1M34XGpVIKbWBQ2c+qqhXKq4XdbYdSmpuQ9wXX6SD1v5D6moVZy6poKzlqqynVj0EQkz+Wcuqr8Em1Uxtzfr749NDEUVmgqFgE4Lv1/AsBdcW045yOMsR4Acyqfbw6du4igT+rQ8T4q7TF5ciLfuPYqfElQ/c7pCqfzr+nI7VP4SD11HUFVKqW307mHon0an9w+L59oQ+xZpxpamnyX26fxye3z8lW2A7ZW/V5LxiAxn5VtYlX5RBuVMd99N26aPh1405vS2xKDQqlHzc5wVVBcG5VzAwLGNgDYAADz589HW1ubRhfjMWfVKvDp09GVwrf4tddwA4CXnnsOo9Omxbabt307bgKwZccO9PX0xLabfPw47gKwd8cOnJk7N7Zd3cAAHgDQcfw4jqf0cd3oKMr9/an35g1nzoCVy9iR0m752bOYd+kSNqa0u/bVV3E9gBc2bQJPWBizX30VtwLYtmkTLnZ3x7ab2tGBOwH0jYwkj4VzrAdw9MABHE3p490XL+LC+fPYn9Lult5eNF24gG1p9+bIEVzFGH6c0m7BkSNYCWBjWxuG5s2LbTe7vR23Anh51y70Jlj4TefO4V4A+3ftwqmUe/Pg0BCOnTqVem/WDA1hsLMTu9PuzalTqK+rS51fS0+dwjVDQ3gxpd3C3buxAsDG9nYMHT4c227G7t24A8ArW7fiQoIynHTmDO4B8Orhwzidcu031tdjpK8vdSzrenpQunABe1Pa3djdjand3dia0m5ZRwcW1NXhRynt5nd0YDWAzS++iIEFC2Lbzdy2DbcB2L57N3oSvP/Gnh7cB+Dgnj04mXLtBwYGcOLUKRxOaXfH4CCGT5/GrpR2N3V2YvLQENpT2l3X2Ymlo6Noe/75xLeRrt65E6sAbGpvx+Dx47Htpu/fjzUAdm3bhvMJcqmpqwv3Ajhw5Ag6U/p4L2M4e+QIDqa0u7OnB0PTp5PpKR1QKPUTAK6R/l8MoDOmzQnGWAOAFgBdiucCADjnfwvgbwFg7dq1fP369QRdB7B+Pdra2pDKt3cvAOCNd90FJAhnnDwJAFh3333AihXx7Y4eBQDceMMNuDHp2hXlt2zVKixL62NLC0pA+limTAGmTElv9/TTgeJMa/fCCwCAB3/6p5NfDaxYuGtuuQW4//74dhWjadK0aVibdu3GRixZuBBL0toxhgXXXosFae0WLAD6+9PH/I//qHYPjx0DANy7di2wdGl8u4oBeMfddwN33BHf7tw5AMDKpUuxMunalYr7JcuXp9+b2bMxfcaM9LFMn46e3l61+TA6ivUPPJA8H3buBADcu349MHt2fLvKfHjDjTcCSdfu6AAArLr1VqxK6+PkyZjEWPpY6usxZfFiXJXWbvFi4MSJdL6nngImT05vd+oUAODuO+4AVq6Mb9ffDwC4/a67gLvvjm/X2wsAWH7ddViedG3OgZERXHvDDbg2rY9z5gDNzeljmTEDmDUrvd2mTQCA9ffdB0yaFN9u3z4AwD0PPghcfXV8u8qcumXlyuR589prAIAVN9+MFWl9nDoVi+bNw6K0dg0NKKncGwOgyKlvBbCcMbaUMdaEoPDtmVCbZwA8Wvn7lwE8zznnlc/fU6mOXwpgOYAtBH2ih60wqmZoSDmnTl3wpPquv2ifxgeFnLrgtJlTV+ET7dP45PZF8Yk2iikM5Zx6pX0ibI65sVEt50ldKKeTBgKKr37XTPfVxJhNrBXVtK4B5PbUKznyxwB8D0A9gK9yzvcwxh4H0M45fwbAVwB8gzF2CIGH/p7KuXsYY/8EYC+AEQAf5pzbqS5Ig2r1KPV76rqCysZ3ROsuWsVCudScuuB0vPjncvu0/snti+ITbair3yvtEz2uajGAbcwbW9XvmvIGfX3p7WptzJQGsAGQXJVz/iyAZ0OffUr6ewDAu2LO/WMAf0zRD6Ow5XFpCuc6ykXW1DT2BSxJ1bqGvFbyoiyXvQ+bgkqjOFDLU1ftI1VBpOaYrRjAtiI8IpJmyRjElClqfKJ9Gp/cPi+foTHbUup+RzlVVEkYlTykKNonQTWcr7v5jCpnGp/YaUx1zNRfiiPap/EBasJZ5V1ZmyFFnbnd2KheCX4leerUKQzRxkYluKkxWzIGldeKV+qOw1SekHiRkQsquQ9F8kFhRznBqWqJU9cR2PC4RBtLgorcU7d4D5U9dep5Q20YAXR9pOYTnNRjbmgo/rVA0UYxJanklBiAV+qqoF5kquEw2yFFQC0HbsASJyuUM6TgrCkkleiEIY+L3FO3qNRTN58pl4PUk868Udnj/wo0BqvBibCyp4MBeKWuCp0JovKd04LT9ZCi3Iei+KgL5UzlCW2GUYs2EiqcNeOpqxSV6swbMVdVOCnTNtRz24RSN1F/4rJhVHmDwOfUXQf1hBOcxFakEU/d0iIjK5TL4rXa8riow6iu59RteurUhpZ8ThJnrUR4DOz9Pq4PcVA1EoT8sBTt8ErdddhW6jY8dZ0iLxOFclTfCKYrqIB0j8uEcBZFcCqcllIOys9E7kMCn1L/6uuD/GnRqaosSl3lubjsZdqMalHPm8p2wLYMIx9+dx064TBVpW5gwqUKKtXvnJavSTVm2566icrtovkEp6U8IXn4XaV/jNkxgF2YNwp95DrpvlqpP6F0nKgNGZ30oQF4pa6KKplwqYJKdwLL58SBOr+sm1OvlTCqxQiPcvjdRk4d0DOAqVJVVTJvuIpCF5zUxiD1DpYAnbwRnJbC72XV50IMr9RVUSUTzmlBpZnjIvPUsxgyV6JST6ojKJeBkRF1Q0vuQ1IfbY2ZulDO4rxR3o7UxLwRm1OlcVLfQ50xW3rX33vqrsOUoCKecEYqeinDqBoel9Wcuo3cqE2lznmycFb9jnv5mo4bwKmvtGWZN1SpKg0+5YIsE/Om0odY6Gz8ZHutEL9t43PqrsP2hLMhqGyOWeULYnT4RFsVPvmcOJj4kgqbeUIgmVM3JZLGJ47bjGrVSNpG2VM3sb+BfE4UhDxyXd7I1yfi89XvrsNUaIhaUIkNM4j4ANBtPiM4qT04WwVP1NEOm4JKPieBjzSnTm3IuGAAU81tjXlD6qlTR/JsRjvEdYtW6r5QrkpQLVakfE4RfOI4tZfp8j0Ux69ApW7VU1cxLhlTrgRX9tRtVL+L1xsV+qiVUy86OmFb3piITijy+fC767AtnKkEi+1Fpjpml0PRnKv3sa4uqIJ1XVDJ5yTwWat+15k3aXuCV/hqJVVltfodSDYUquEe6hiD4gufkopKffi9SlAN76lTK3XqQjnBaYMP0BtzkqCqbAOp+py5yje/ueCpKwhn53PqGmvPSlGpgSiU1ep3+ZwkPpuvtKnyKRqDqX30hXJVgrq64JUsW14m1Y5tJkKKJsLltRLtQGVx10j4vSo8dUW+upERJY+L7B6K178ojX4Xqt9tRAapDRmdeQioGcBeqVcBdKw+VT6VCdfQoF4JLs5J4pPbqvAVbTmbKLwTbVX45HPy8qHi3bqs1DWMwZrx1G2EjnU8f9GO0lO3ERm0+a6/4KQ2EsQ5SXzwhXLVAROChVphinPiUC2LTPceJnlc1GPW8fyh4ambKHgijk4oeeo2608o14rN/LJop7JNbK1Uv9fXg6vs8W87MijOSeoffPi9OmArdGzL+1BZtKJojNpbcNnjqhZPvaFBL09I5X2Iyu0raa0YMAaN5NQtGYNK95CxwECphnmjsla8Uq8CmAjl2PI+KPOEGkVj5PfQ1LuyhB6XtZy6gXmjvJ+1LUNGJ18tzkniE9dW6R8ln2inMGbynLrOxk+A22tFsS7ByFrxSr0KUC2eOrWgUqj0dDrlQO19aI65prwPmwarpTAqWVTLUE5dW6mnFQfaWnuw+KYIpTHoN5+pItjyPgwUcajmuFK/x9qE95HFcnY5/K6i1LMUB1oQzsreR9pzHh0NviTmSopq6a4VRS9T65mk7fFv8x7CUFTLkhPhw+/VAGqFZCq/TJjjSh2zoZCiEY/L1ittNuoIDIUUyTz1apg31FEtU+F3ylSVoXmjbACnrZXKtwVaNwb9e+o1AlMhRSqPi/o9ddGuSD7BST1m3dcCCYWzkfC73I8i+HQFVZqHZMJrNRXVsmQMqnqZWs9E7kcMn4lQNJmnbiiFYeSVNq/UqwBpi0xn+1DBB4x9k1EULFvOqWOulkVmwjCy7akXqdRr1VNXMTyoXuPTNYCpPXXVMdv01G0pdZupKmJ4pa6DtAmi8zWDcjuHF5kR4Wwix5V2D23VJaAiqCjHrKpADCg4spy6beGsE4pWeS1QZcdJQ4aMNU/dhlJ3xRhUmNveU68GmFBw8nlxnAbyPVaVetoiMxGdsPWKHBQ8dc7NjLkWPfWiiwNV+YD0FIEL1e+Vc5L4tA1gylfaVNN9Osab2J43DibWnuprgQbglboOVAWVrdCxCU/dVk6d+h5OmqTGp+Nxqb6mYyKkKPcjCrZDiqYM4KIrt3WUOvWYVavfq0He6KwV6mJDgC4aSh0lM4BcSp0xNpsx9gPG2MHK71kRbW5jjG1ijO1hjO1kjL1bOvY1xtgRxtiOys9tefpjHNXiqav00aZwVlHqqkrYxCJLSxHoeh/ERoI1QQXLnrp8XhRsRjsEZ5HV75XXApU99Sqoflf21F2uI9C5hwaQ11P/GIDnOOfLATxX+T+MPgD/iXN+E4C3AvgCY2ymdPy/cc5vq/zsyNkfszARXgPow2EqgkolTyg4VQSVqhI2lVOn8tQB9eiEap6QOqR4JXvqRaaqdNae4KQes0qdg8ueOvVGTa7MGyqZbQB5lfo7AXy98vfXAfx8uAHn/ADn/GDl704AZwDMy3ldO6AOv6t6SDoKU4XPZkhRCKqk3OjgoL3wmuCk9D5sCSrqeVhXF+QKVfvosnA2FeGh9jJVoie6OXWqtWJgcyrynLqNOoIq99Tnc85PAUDl91VJjRlj6wA0AeiQPv7jSlj+84wxDXfKAtIs58HB4LctJazCp6MwAXKvNXVR2C4aE5yU3ofrnjpjas/ZtjEonxfHaTOMauI5m1DqDhsyPO2LgKql/sSip546GxhjPwRwdcShP9C5EGNsAYBvAHiUc16ufPxxAKcRKPq/BfD7AB6POX8DgA0AMH/+fLS1telcPhGlUkmJb/m5c5hXKmFjTNuphw7hTgC7DxzAOQW+Ofv34xYA2zZtwsWursg291y8iK7z57FfZbzlMtYDOHLgAI7FtF9x9CjmANikeP/e0NcHViphR0z7uS+/jJsBtO/ciVJfXyrfNa+9hmUAXnruOYxOnjzhOBsexoMADp88qfRcphw7hnUA9mzfjrOzJpR0AABuff111A8MYLvimO8ql9Fz/DhejWm/aM8eLAfwoy1bMDJjRirfNeUyRgcG8FIMX/PJk7gbwL6ODryu0MeWPXtwO4AdW7agO8Y4WtfTg1J3N/YqjvmN9fXo7OhAR0z7ZYcPY0F9vfJaubG7G1O7u7E1pu2sbdvwBgDb9+xBj0KV8PyODqwGsPnFFzGwcGFkmwcGB3H89GkcUejfpDNncA+AV3fuxOmY9jd3dqJ5aAjtivdw7fAw+js7sSem/YLdu7ESwMb2dgwdO5bKt/T0aVwzOIgXY/iazp7FvQD6R0eVnomYN69s3YoL5XJkm7VdXRhoasJuxTHfX1+PU4cPx86bpQcP4pqGBrz4wgtKfMsZQ19PD7bE8M3YtQt3AHhl3z5cmDo1le+qQ4dwI4CfvPQS+o8ciR5Dfz9Ov/46DimMueHiRdwP4OCePTgZ0371iROYXi4rrxVycM4z/wDYD2BB5e8FAPbHtJsB4GUA70rgWg/g31Wuu2bNGk6J1tZWtYYf+Qjns2bFH9+yhXOA83/7NzW+7343aL9xY3ybefM4/8//WY2Pc16uq+P8v//3+AaPPsr5ddcp8/GHH+b8nnvij3/rW8EY9uxR4/vCF4L2589HH794MTj+uc+pPZeDB4P2TzwR3+aBBzhfv16tf5xzvmIF5+95T/zxz30uuObFi0p0R9/7Xs7r6+Mb7N0b8D35pFr/Nm4M2n/3u/Ftlizh/P3vV+PjPJjXv/Vb8cd/8zc5nzNHfa28972cX399/PHvfCcYw09+osb3zW8G7fftiz5eLgfHP/UpNb7Tp4P2X/pSfJu3vY3zO+9U4+Oc8zvu4Pxnfzb++F/8RXDNM2fU+D75yaB9uRx9/MgRzgG+7/d/X43vJz8J+L7znfg2q1dz/q53qfFxzvmcOZx/+MPxx3/v9zifMkWZ7tTDDwdzNw7PPx+MQXUeCvm0e3d8m+Zmzj/6UTW+Uing++xn49v84i9yfvPN6mtFEQDauYJ+zBt+fwbAo5W/HwXwdLgBY6wJwL8CeIJz/s+hYwsqvxmCfPzunP0xC9VQE2X4XTNcrpSTogyviZQDVfjddlhWcFLnCZPelbVdCS44Hb6HqWM2tfGTbqGcidex4nac1C1epK5+B8jnjXJOnTrFSfm2jW6Kkxh5lfpnALyZMXYQwJsr/4MxtpYx9uVKm18B8ACAX414de0fGGO7AOwCMBfAH+Xsj1m4nieE4nueLgtn6hy94LSZJxRCt9oNmVqcNw7nl1UNYO1tYinzwSpj1njzJLX6ndqJEN8WaLPAkhi59rHjnJ8H8KaIz9sB/Hrl778H8Pcx5z+U5/qFQ3zXL+fRr4SZEiwai4LcUzexw5N8Xl4+E8WBKoKqsVH5tcDLrxwNDwPNzdF84roqsFG5bcKDA+he1zRxD4eHgYi6j1g0NQFJdSV55vaUKbF8ZZ03EuR+RGFwkP71TxOeui1jULWoVOceEsPvKKeDNKsvqxUZN0F0rUgoWromhDNVOMwVBUfo+V/21F33MqmjHSZC0UXPGx2vVUXYM6b3WmBSH4WnTh3V0lFIKuk5SvlFLW90ZbZoS7lWiOGVug6KFiy6fDCUUy9y20YXFJzKPdQQ9uVqUeouh99V14rqc2Esff8AXa9VNRSts/GTOC+uf9DcECiJTxyzbQC77KmLtg6H371S14GqQrLltUJxUbicG9W1nOXQdhyovQ9dQVV0ykEU5dlW6kmbDJkKv1Pmb21HOxTnDemOciYieTrpw4aGIDoZV1RKHQ3NMG+ooxPU8EpdB0UX62QIDSl56ia2TKXyFnTvoeoXsFhUcMqeOlUBle4GHaItZSi6aAM461pxOBStHH6n2jmwXA4q7S2uFZ5mpDsQDfWeei3BlFKnmsBQ2JHJlIJTDSlWwyJL49MsGivcU9c1EkRb6lC03JcwrtSoVpZ7mFLDQxZ+F9exaMgoG8C2c+qUz5kYXqnrgHqCGBBUhefUDXkfNitwqcOohefUTYQUsyqktLViMfyulFO3bVyK8+L4QOipZzGoideeMQOY0HEilzfE8EpdB0WH37PmCU1UMSflRrMIKspFliRMOc+Wy0wT9hpesHL1u+pzTvsiDVPeB7VC0onwKHqt2gqkyFSVIQNYOadeXx/8EN5DIzl1cV4UHDAGffi9lmArjErpqWcVLElK2ISnTuVZj44Git2ioEr1PnSFKWPJfTQhqKgVkqkIj24EpRrC7ynzRtlTF5wOp76UDOCGhqCWRrV/aXxyO1VOyuglMbxS1wH1BDEQDiPPE6r00USulUqwmBBUmvll8vC7aOtynlDVU6fkA+iiWlkiPMRpG+Xqd9WcOmDGGCRUcEprxWV5Izi9Uq8SqHitOlYkY8mV26aq302EUVVRdKGcA5tLKHvqVJ51NXjqpnL0VGslT9FYXKrKdvgdSE4ROJC2UcqpU8ob6jELY9AXylUJqBWc4CzaU6eswHUh/J4kqExZ4lk89aLqCFzw1FWEqQueOvW8AZK/gMVA/Ynz4XfKteJA2iZxzFnSfcTwSl0H1HlCwVlkTt22p26g4IlcUIl7SORxKXnqOhEeuY9RMJEntD1vDKQwEpV61nko9yUMQ9EJ6+F3lz31tKJS6jFnWXvE8EpdB6Y8daoNOpDynnqWncaoF1nRhStZFy3nyV+VSp1TN2EM1lL4Pa04kDr8nuUe2ohO1NWp7yUvOIt8vct2Tl3Mm6LGnMUYJIZX6jqgFlSCk9L7UMkTUgoWXUFVdE49TxiVaMxK3gflvHEhT2grqkVVKGdi3pgwgF2eN4B9Tx0odszeU68yFD3hsoTfTYUUi86pU70fnEc4J42Z+t1blz31kZFsrwUCZPcwtY/UnrqptWLT8wfMGMCEW+0qvdLm8pizrD1ieKWuA1Phd0LBwpP2szblfWQRVGl9tFn8QyxMjXnq1HUJIj0T1T+gOjx1neeSlKpyYcxFy5usY477ApYM6T5rBrD31K9QVIGgSvTUXQgppn0By9BQoFRVdxoTfXTYkKkaTx2Ivo8uzBtALSKj81xMRXiow++U0Y4ix5w1fQjQRQYB8nnjlXotgToUDZAvssueelTldtbQtnxuFCe1QnLBEpfPDUPXU6cu/gHo84RJz9mFSnDBmTRmxrSKxsir321s1ORCfln0Jap/mnzkhXLi+kV56r5QrspQBeGwxPc8TeWXqQ0ZV5R6tefUqYWz6+H3piatCE/iV6+6MGZTOXXKMSf1MQOftUI5m+k+YnilroOivY884Ssiy9mKIUNpJFB7HyMjQQ5Rh6++Pkg7OGwMUntcVuaN5toztvkMlQEsXldzWN4kPucsxYumDOCkZ6Kb7qMO5xPDK3UdmBJUhEVjiYvCgVD0ZU6qHaMEH6WgIvY+Ll8/acy2w+8qwpk6dEw9Zs15Y6z6PYqzXA4MQmol7Er4nSgyaKX6PcszSSsq9Z56lUBldyLqRSa+LlERiYvCVJ7QtqeuYhhZ9D4ut/ee+hhMeFyafIVWv2cV9sSGjOtpGys59Sz3EKBLcRLDK3UdMJYe6rUs7Av31Gs5p16UcDbhtQJjW6uq8om+xPFRzxtq4awbflcpKnVh3rheCS6fG8VHlT4Un7tgUAPRz8UXylUhiva4dL0P6tCxSp7QsnA25rUmLVrLoWMlw0j3tUAg2ftweeOULOH3pKJS6qhWnrRN0WtFt2hMPldGnpw6ZXrOhCMG0BpvhPBKXRdFLzJNPmPV71F9zLKXvOA04X247nEV6aln4RN9ieqf3EYFRaeqsnrqAJ0hUy3h9ySFmeWLhQDaeVN0UakJpe4L5aoIRYfDTHjqVN5Hlr3kRXsTiyzqKy+px+yKp16koMoy5qQvYOE8mDu2C+VMpaoow7JFp6pcUHCOO07eU681OB5+LzSnbsprtV24Ui2eOnVKRJwbxSe30eF0eN4kFpWamjcuKCTXFZwJ+UDtiIlzo/jENS3BK3VdFOlxZeAz9p46ZaWnCe9D7k+YT1xTl48yp26qwDIq5UCdJ6Su+HdEwSUawNSv8bmk4EzMmyKiE3nSfUXl1Ku9UI4xNpsx9gPG2MHK71kx7UYZYzsqP89Iny9ljP2kcv63GGP27oQqHLcilQQVdSjatqBKM2Q0XwusGuEc953vpjwuqmiCiXljygC2WDR2uT110RgQn6oyYVDXWISn1sPvHwPwHOd8OYDnKv9HoZ9zflvl5x3S538K4POV8y8A+GDO/phH3ARxZHMJ8pBi0mt8eRYZ9eYzcn9kVEOekLqwLY+wv4KEc2pRqa4xWOQ9FJzUxpvLxqAjER6l6GUVF8q9E8DXK39/HcDPq57IGGMAHgLwVJbzrSFOweUpGhNbj4aRYcKRv9IGmFHqReXUqRUctZcpisZcNmSoiwMdEc6Ja8XUGwSub5zigtdKbQy6nu4jRl6lPp9zfgoAKr+vimnXzBhrZ4xtZowJxT0HQDfnXMSBTgBYlLM/5mHC+wDIFhl5oZxoX4SRIDhdVnAueR/y+TJceKVNtC8qbWOi+j2rMVhU9buJfLDLBrAr6b60taK7lzwxUrecYoz9EMDVEYf+QOM613LOOxlj1wN4njG2C0BvRLuI6o3L/dgAYAMAzJ8/H21tbRqXT0apVFLme0NfH9jFi9gRat/Q04P7ARw8dgwnNfq2+Phx3ADgpeeew+iUKeOO3XHuHEamTcNODT5emWh7X3kFZ+bMGXfsuv37sRRA28aNWmHFexnD2aNHcTDUj2n792MtgF379+O8Rh9XdnVh1sWL2Bxxzr2lEs6dP48DbW3Kz2XugQO4GcDWH/8Yl06dGn+tY8cwm3Ns0uhf3dAQHgDQsX8/jofOu2r7dtwIYMuOHei7cEGJr1Qq4VxvL5q7utAe4qvvS4prnAAAIABJREFU68MbAXQcPz7hWklYcOQIVgLY9MILGJw3b9yx286eBa+rwysafE3nz+NeAPt37cKp0HnXvPoqlgF4cfNmlIaHldfKmqEhDJ46hd2h9lMPH8adAPYcPIizGn1c0tmJ64aG8EJr6wSheffFi7jQ1YX9GnzNFeX78ubN6C2Vxh1bfvQo5jGGjZpy5oH6ehw/eBBHQufN2bYNtwDYtmsXLsYpmAjcHDNvMDqK9aOjONLZqSW/kubNLadPo3FgAC/rzJtz52LnzaI9e7AcwI+3bsVwS4sSX6lUwsWYedPc2Ym7Aezr6MDrOvPm1Klg3kScc+eFC7g0axb2avDN2LsXdwDY2d6OrtA7/csOHcLC+nq8pCG/yME5z/wDYD+ABZW/FwDYr3DO1wD8MgAG4ByAhsrn9wD4nsp116xZwynR2tqq3vgtb+H87rsnfn7yJOcA53/913oX/7//Nzjv3LmJx267jfO3v12LbtM//EPA9/WvTzz4iU9wXlen1z/OOb/mGs4/8IGJn2/cGFzru9/V49uwgfOrroo+NmsW57/1W5xzjefy9NNBP7ZunXjsfe/j/Prr9fo3MhLwPf74xGNf/3pwrKNDma61tZXzd72L89WrJx48dy7g++IX9fqY1I+77grmqQ6S+vHpTwfHRkb01kpcP9rbA75nntHr4+OPB+cND088Nn8+5x/6kBbd9s9/PuCLGtMHPhDMe11MmcL5f/2vEz9/6qngWjt36vHFzZv+/oDvf/0vvWeSNG8eeojzN75Rr39nzwZ8f/7nE4/92Z8Fx3p7lelaW1vj582+fQHfN7+p10cxb0ZGJh67/vpARuhAzN+nn5547LHHAhnGNfWKAgC0cwX9mDf8/gyARyt/Pwrg6XADxtgsxtikyt9zAdwHYG+lk60VBR97vnMwFX4nCgGm5gmzVGVOmjQW+gr3D9DnbG6O5hOcunwi1EwVRhUFUlF9dCWkSP2c0+ahbtGY4KQOo8b1kXqb2CzzBogPl1fDvHElp26ihkc+P8xpu9iQGHmV+mcAvJkxdhDAmyv/gzG2ljH25Uqb1QDaGWOvIFDin+Gc760c+30Av8sYO4Qgx/6VnP0xDxPFP/L5YU7beUKAXqnH8QnOrEo9ro9ZxtzUlDxmF4rG5PPDnJQVvVly9ILT4TGnFpVmnTcuF41R59RVCix1i8aKNAZdqOEhhsbXOE0E5/w8gDdFfN4O4Ncrf28EcEvM+YcBrMvTh8JRdKGcC4IqTglnXWSCj/PxudGsleAmlDr1mB33Wsk9OCA4pzeidMYR4Zy6p4MrhowJw4hI3qTOG9295EUfQzUO465he61Qv0FADL+jnC6KDg1Re+pZBJUJT53ziRtg5OEDaJV6XIrAlHC27S3U1QUCmFKpm1orYWEq9ojQTVWZiGrFveVAXf3uyrxJ+gKWrPKG2pApMuWQNcVJCK/UdeF4aMiIoEpT6rqLLE4Ju6TU0zx13ZBiWq7V5XC5S16rfH5OPiOpqqLC765EeASn6/dQPj/MaTllSg2v1HXheI6Li2Im13PqAL1SHxiYeMzEmCmLxlzxuARnEXzUCikj3+VUVZzxltWQoY7wFLW/gYnohMtKPc9e8lF84rMqL5S78uD6Ikv6yss8Ci5OYQL0Sp3K8xefUXvqWYX98PDEL9LI66kXEfY05alTCdOMfGXRnrrAMsmQyVo0Fp43We9hWiia+jlTpm3yGoNhuZ1nF1DAe+o1A2pBFbfIshaNiT5QWs5pnrquoIpTwlkFX3NzNJ/4TBzXQdKYsz4TYOJzcSTCc5mzyDCq7fB7kqduov4kS9FY3OuaeRVcEYaMqZy65QiPkaJSQnilrouiJpwQ/i5Yzmn5ZV2lmabUqfiAIMJAKZzzeK1AvFKnUnAipJilj0lFWS4UjREL50SlntUwam6Oj2plnYeiP2E+IHuUjNoYLMpIAOiNwSzFgYz5QrmaQVPTmOCUYUpQZfliAOowapyCE8KLKlwu+CiVep4xU+boqb0FakElzqnmQrmsOfUiajHyGAni/HD/xPWy8Lk8ZuoanrjoRNZ7KFKc/pW2GoGpMGqYL6vXKjijhOnAAG0oOms+OM1Tzyrs4wyPLGOOe6Utr6dOFDouVKm7XiiXRzgnKZAszznJU8+q4ICJnHn2iJDPF8gT4TExZuo9IkR/wv3LwifOoYxOEMIrdV3EKZCsXmbchMvKJzjjhCmlUh8YCK6l+41E1J66sJypPXUTOXXTnnpWw0hwmsiNxhV5ZSkak88XyHoPgWK9TBfC73Geeh4FZ8IwGhmZGA2lHrOpeZNFxhLCK3VdmMoHx004ytdqTOSXsxoJ4vwwn3xcl5PSUzeVU6fyMuOKdfJ6H9SvJgHRmww1NmbbaUycH+aTj+ugKC8zK1+aEra9RwRgLjoRJx+yKnVKeRM35qwylhBeqesibpG5kl8WnNSe+vBwsHNXuI95vI84Q4ZKCYudxq4kTz2rsBec1OF3uU8CWY2ENEOG+jlTCvs8nr84P9w/IHv4vQhPPW8dAZWjEzfmPDI2KT3nPfUqQ5zVl3WCpE3grAqO0ooUfYgSzpSeelbDSJxThOefJxQtzg/zycfz8uUJKZoolAOix0zJl2fM/3975x4kx3Wd99/ZxeK14AKL1+LJpyCRkEUjBEVTpkxbZChLVEzKCVmWHUewLBWLxVIlrpRSokxX4lJiJ0yq7KpILqsYKwrjYkRRimmRMVV8eWGJJVIkTYFYgHgSAIn3exe7CyyAxd78cfui7zZmZnf6np7tGdyvamumZ7q/Pbf73vOdc+7tnlqPAy5LKRr0SsfTplX+BcIQf1Mra501q36+Wv5hxoz6p/u0fbazsVqbo6g3GWplme3tdtDUg4k6nHa2oC3CmvOE2oFM6KDVzD6qZZl5Aw/Hp3WLHJQ/Uy+iOlGp3+R90hg0LlMPFWFtgdOc7qtVDc3b3kp82oGMMbH83pSo1eE0S9FFlIaKEOGQQVb2TF3zfuOJbqupd9GYSOX7yovI1IuoThQxhZHn9s9a/SYkU6/05EBNQdLOMkP9jWbWWmsOPCQp0Zoyhco+dnTUTvnFTL3JoN3h2tqsM9JcKFcrimyGTF1rkJUpU691v3GeOwicjZpzo7XuINCuThQh6lqC5LZDSsfZCkoRY8//vh7UGitlWkirnakXXX4P6YeKiKJeL7RLQ46z6Mg55Al12pl6UYsDtYMEt9DORxFzo3nva63knEOrE9pPGvNt8vnyCGa1ZzqEirBmPyyqdFzJxo6O+n9YCJo3U8+bRFR7yFBRwWAsvzcZakWReS9mLedchvJaM2TqtURd+7Y77RW9IaKuee9ttQpPXhGu5ZzzPn/BHZ/l8/9fPdAW9VpjpQxZK+hXtWpN95WhzSL61Qntc6iIKOr1opZzLiJT1yq/hwqmz+FzlqWkWMs5a7c5j2A6Uax0XfIIJuiXjmfOhDNnLrXPfZeHz7fJIa9z7uiwDlpbkLSzVp/D5yxDQO04i77b5sIFW1HRrmqVpRoay+8tBO3sA4ophzUq+8gzaN2vVVUTzLzzy9qZv8/hkPc2nWqO6syZYhxVXhs1+2G1QCZvm0Us5+WUqRc13acdGF24MH6qqogqWaiPbVQwGMvvTYZat7SFlN+LXihXpkzdcZZ50DaLcy5ibtRfuR0aJPgcPmdIm7PVhJGRfLeTQvn7TVECV/T0XFHVjjL52Fh+bxE0S+Scva2mCEcVEshUy6y1+dx3efh8DkjvICizwLntkMzaXyyn4ZwribB2IFOmwMjn8DnLML8MxfgbGM9Zxky90jkMCQZj+b1FoL0yE2p3EC1BKuMga4ZM3b8uRc0vFzGnrmVjmQQOqpffy9ZvssFg3qpWtSfAFdVmrWdtFNFvQufUNc9hLL+3EGqV37U7iBvQefiyNha1aKxMmbp2ec3ngDBH5dYRlH1O3edw9vnfhfK5be1Apiyirp21uuPKvGis1ljRGnuOsyzncMaMS38PI5bfmxRuBW7RJcDQQes4fD7/u3rQqExde45eu9oRIpjutppGlI7b2vKVFLUz9WoL5YqYcgg9h9pTVVrn0HE2W1VLm89tayYRof0QdIM3JURRrxfV7nkMXSinWc4vKlP3+VxJUXuQafOBXiATkrW644rOWp3A5bmDoNIceNnK70Vk6saMX7ldpkVjjrMRpeOyBION7Ddl8bGKiKKeB9UWXWgv4gjhcxw+H+hlXG4xlXZ1ImSQZcthRWXqmm0OyTK155drOaqQcr4fJIQ8rtjZ0ag2l2Fdgjuu6CkHVyXLezup4/D5IP9UVbXnEZQlMCrCPyghinoeNKKMGipwziafD/JxOofuO+cQPsepvSrat8vx+d/Vg1qBUVnmg4vgcxw+n/9dPag0VVXE/HKZnHMzZ+pl6TeVpqpCFhs6O4qY4tTs20qIop4HRYhwmQdZJVEPdVSVRD3kHNYKPLSeAFe2jEu7nF+pzSFTDpWcs8Y51AwGi7rHuugKT6tnrVkb3S+gafvY0MRJa3GgIoJEXUTmi8iLIrIjee2usM8nRGSD9zciIp9NvvtfIrLb+25NiD0NQ3YOPLSkWG2OvohFHHk6XFubFcYyZ+rVAo/p0639eflOn04/K+ucur/IK3TRmLPJt8//rl5ky+VlE7hqbXY/bVsvGrlQLmT9SfYJcGWbX9YOBosKZDRtVEJopv4w8LIxZhXwcrI9DsaYXmPMGmPMGuAO4DTwgrfLv3PfG2M2BNrTGGTnwEdHrWPVvB2rqEGmlVmXNVP3RTiEb/Zs+1qpzVrld41g0Jjxv1pWpgqPO67IIMFxameZs2bpzS9rC5zj1J6qKlOmnk10miEYDE10lBAq6vcCjyfvHwc+O8H+9wE/MsacnmC/cqOIkuLo6KWRs2YUqZ1ZN0Omrl3O13YsGvPLcKmN2nz+d3k4tQOjSv0mhM+3y70vU2CUzTJDg8FqIly2NmuOFe1baKsFRh0d+SqDigj97z3GmIMAyeviCfb/HPDdzGd/IiIbReTPRWRqQ5zJoogoEi4tl5epHFZEpn46E9sVkVlrCpxG+V1b4Hwe916bD/SqE2XLuKoFb3n53AOjigwG3fyytghrBgkaAWsjMvWQ6qpvl3s/xaV3gAlvShSRl4AlFb56pJ5/JCJLgY8Az3sffw04BEwHHgO+Cny9yvEPAA8A9PT0sH79+nr+fU0MDQ3VxXfj8DDtp0/z8+SYGUeP8jFg2549HMxh1/K9e1kFvPLyy4x2dQFw8/HjnJkxg8118g0NDfHa/v3cCmz5+c85vNjGWdds387KadP48U9+Urd9AB8dG2P4/fd5J7Gnq6+Pm4C3t27l5Jw5dfNdd+wYy4aH+YnXvo8PDXHo2DF2Jp/Vc13mbdvGGmDDq6/SnzjU1Xv2MEeE13P2lV+ZPp39W7eyKzl+yYYNXA+8umEDZw8cmDSPa8eHBweZffw4byR8048f55eB7e+/z4EcNi7Zs8fa09vL2SV2iK49epSzCxeyKQdfx4kT3AZs37jxoj1Xb93KVW1t/MMrr4BI3WNl7fnznNu/nz7Xb955h5uAjdu3cyKHjVcfOsTVIyOs7+29WB6/bWiIw8ePX+w3k8XQ0BBv7d5t+/Grr3Iymca4fs8e5gI/y9lvPj5jBgd37ODd5PjFb73FauD1jRs5PTBQN9/qwUHmnDhxsR+3nz7NrwDv7t/P3vXr674mPbt3cwPwWm8vI8uXA7Dm8GFMeztv5+k3AwPcBuzo62N/cvzKd97hOuDHr7/OWB3C6dpy09mzjB44wMaEr3P3bj4KbN65k6M5bLzq4EGuGR1l/csvX3xK560DA5zs72dbDr4527ZxM9D3xhscTxbirtq1i0Xt7fw0h/9ShTEm9x+wDViavF8KbKux778BHqvx/a8B/28y/3ft2rVGE729vfUdcM89xqxZk27v2GEMGPPXf53PgG99yx6/f3/62Qc/aMxv/VbdVL29vcbs22f5Hnss/eIP/sCYOXPy2WeMMWvXGvOZz6TbL7xg/8crr+Tj+6M/ssePjdntsTFj2tuN+cM/vLhLXdfl1Vct33PPpZ/9xm+Mv071Yv58Y7785XT7m9+0/+PIkbpoLrbjd37HmOuuS7/Ytcvyfec7+ex74gl7/Nat6Wc33GDMfffl4+vvt3x/9mfpZ1/5ijGzZ1/crHus3HabMXfemW739tr/US+Pw5/+qT1+ZCT9bPZsa2ed6O3tNeattyzf3/5t+sX99xuzenU++4wxpqfHmAceSLe/8x37P3btysf3hS8Ys2JFun3kiOX7xjeMMTmuyfe/b4/v60s/u+UWYz796Xz2DQ1ZvkcfTT/74z+2n124UBfVxbbcfrsxv/qr6RdvvGH5nnkmn42PPmqPHx5OP+vpMebBB/Pxbdpk+Z56Kv0sc53qvi4TAHjTTEIfQ8vvzwDrkvfrgB/W2Pe3yZTek+wdERHsfPymQHsag2qlIc1y+enTaUlZi6+zMx8fXFp+d6XzvDa6sqc7j+fP2xW5oXzZcnlePsepXX7XLkX7PO59aClas6SYbbPGOfR5NB5m4/NBeJtnz9Ytv8+efekC0FA+GM+pcQ6zfCHzy9k2a0z3waXXJbT8rtlvlBAq6v8FuEtEdgB3JduIyM0i8lduJxG5GlgJ/EPm+CdEpA/oAxYC/ynQnsYgOzfqOl9e0dQW9UrzPSF8oC/q2TlwrSDBdwTabS5qfrksc+qVHhajIera88s+T+j8srbAOU5NQSoiSIBLbcwrcG1t1pYiz2HZAplKa3hCbidVRI4H/aYwxhwH7qzw+ZvAl7ztPcDyCvvdEfL/pwzZDqclSFnRDM3UtfjA2nj06Hg+0Glzd3dx53Dhwnx8jjPrBPL+/jLoZ63amXW1h8VoZuraol6UwIW0uVK/gXBRHxsb/0t/ZWpzpUAm5NauLF/oWMm2+cIFGyiEJiVZHQiphiohPlEuDzo7YXg43Xbv815Qd5zjGRuzgyIv37Rp9qErRWat2iLsXrUyf7A25s1aoXL5vcwCBzo2ZrPCkHNYxH3qPo+Ws9cuv1cS9dA7O7KBTChfVjQ12xzqbzo7x/Np+9jQ6mqWz72Pot6kcB3YPclLqxTteEL53LF+hyvrnLp2+V2zOlGp7BkqcP6TvLTL76Hzy45TM1Mv4olykF4XLb6is9a8TzZ0fL6N2v4GwgUp22YNvkqJU1l8bEeHTZ40AxklRFHPg87O1IFCeAepFkVqRrpFZepaC1dC21zUlINmBletOqElcKG/nOeO1c78i1xHEJq1VpoPPn1aV9RDBS67XiQ0a80KnDHhQX8lf6MRJGQTJ602h55Dd2zM1FsE2h3E8WmLerbDaYv67Nn5HqXp+EBP1NvarGPXDmSyGVdIpp4N3rTnRkMF0x2rGchUW1SqNeXgzmWOZyVcRCURDuXz26yRtUJxou5sLVumPjaWBqpa5ffsOQyt5MVMvUWgnVlnO1xoVOpsyZbfixD1ED7H479q2ejWJWjf0hYicNqiXq0fhtqomX34i7wcn1vzkQfZYFAj49IW4WwwWDZR1878obKohwomXGpjaACsNafuODWvsxKiqOdBtfmZvBlS1jlrRJFFlN8vXEh/PERL1LUydceptfDOHVuEqA8N2Vet7CPLF5JldnamfI4ztEQJ6XkcGrKf5a3wZMeKs1VLhI1JbcyLrLPX4AM9Ee7osH/aoq4ZDFZKdGbP1luXoOVjNRMnJURRz4NKIjxz5sXHD9aNRpTfixBhjXlCTVH3RVhD1LOZ+tAQXHFFfj4ntllByivCM2daJ6fF5471+83QUDifb1toabsSn/95HvgiPDJihb1MGVwR88G+jUWVojXa7PtYzXOonamH3iKniCjqeVCpg4RczOwtaNqi7hbCaIt6mTN1Lb5sxhWaBcN4EQ4pRYuMz6y1RN3P1LVFPTRrrSbq2gIXGiSMjqZVraJEXUuEiyq/a7c51B86Hv9Va6GcRpCghCjqeVBpLjM0QvPLV9pz6mfPhmcflebAm0HUQxeNnTtno3DQE3Vf4ObMyV+KhvGZtYaoZ4NBrTKq70y1gwT//+SBX+HREjgYL0jafLNmhf3EZ7OJemjm39FhK6natw1r8ikhinoeaA9aGD8Hrj2nrsGnnalnH/qhJcLagxbSBW1aWasvwiF8MF6ENbJMP1MfGbEL3MqUqc+YYZ2zZpv9fqMVJMD4QKFMQYLjLErUL1wIX6SqnamLFNtmDT4lRFHPgyIy9UqlHK3yu1YWDMWW390DHUI4tTN/30bt8nto1grjRVhDkFy/cQvGQvm059SrTTmUqRRdaXV5aDk/y1dGUT93zk47aFUaQT9xKrOPVUIU9TzQjiIdp2YHcXxuPj2Uzy0Q851zCF97u826HJ/WFIb2LXKOa2ws3DlXKr9rOiqtOfXRUeugtVbT+7ZptNkPZFw/1C5Fl0mEs5m/xjmsNFa0bNTgq5Q4FRHIhFQGY6beQiiiw/nlcq0o0j31ToOvq8u+njqV2hgqwl1dMDiox3fFFeODBNBbXHPmjD2f2gvlNMrvmgvlfBHWChKguOqERgbnV3i059RdKTqEL/so2zJm6v4taEWtS9AM+h1fyHoW7URMCVHU80B79TtcOjfq7iUN4XO2lVnUi+SDMM65c+3rqVM6Ajdtmq1OaIq6v1BueNg6qZDswxfhIsrv2pm6dtaqOaeuJXCV5oPLJuqV2qw9p66dOGnwuSmHmKk3OdxtSFr3UMKlUZ9GVOpsu9xE3Rid+9RdmwcGdEQdLs2si+ALyT78TF1r4Z3jg2Iy9VA+J3ButT+US9Rh/GK+IkTd/exuCJ/jKiJT1yq/+z5by8f6Uw4xU29iZOekNDJ1bT7QG2RuTv3UKXv/7fnz+qIekmGCzawvXBjvTEM4tTN1uHQOXDNT18qCYXymrjG/PDxs+8y5czoZkmb5fc6cNBDUnFPXGnuOUzuJ0C5Fw/jKoPaUg/aaG41+6GzTqE4oIYp6XmRXPmovlNMSdX+Qhd4u1t5u58C1olJf1AcH08w4hA8sp5urD3kCXBGZelaEy5b5+5m1hiC1tdl+opX5u+M1Axm/32i02fENDuqJur9eRCuQcWNEK0hwXJr9ZnhYZ12Cs1G72gF6gYwSoqjnRbZkpznfMzio4+zB2uaEM0Q0RVIRdnwuk80LX9RPndIV9VOn7Px13p/kzPJpZ+ruljENvpER6/i0+EAvU3fH+wvvtFe/h9rnV6GGhmzwmvcpf6AfJDhON1Y0/E1Xl+0358/r8cH4QCY06HeBh8avyDk+7bttIGbqLQO/w42OhguS7+xPnQoXTL/DaYvwwEC6rcEH+pm6RpDgnH0Rc+oaD3bx7XFTDpqZupYIuzZrZuqaC+WygtTZGVaK9oMErTYXIeowvs0afAMDeoHM3Lnjz6FGZdD5Lu0Kz+BguqBxihFFPS/mzrUdxHWSUMGcO9c6+aEhy6kpcAMDNvvQuGXMz9Q1Rb2ITD2Ur73dOuMiMnVNPkhFWJNPyzm7crl2pq5VJcuKcOg5nDbNjrUiMnW3nkV7ykFDgB2fK+trBDLaPnZw0PrZgQGYNy+cD1Ibu7rCnpeghKm3oFkxbx709+t1ONfBXAfR5HMCF5J9QDHl93PnbNaqIcL+INPgc5yaol5EKRpS0dTK1B3fzJlhT/lznNqZuv+AHE2B08jgHKe2wGkH1GDHSn+/vsD5n4Vw+pXBUBu7umwgODho21w2n62EKOp5UUSmDrazaZTfXYdzgYeGwBVRfgc4dMhGz2XL1B2nZvnd9RstvuxiPq0gYXBQT+A6Oy2fEyStasLAgOXVCC4hdfah4uE4Bwfh5Em73d0dznfqlC4fWM7+/nC+GTPsOgTHd8UV4cGgG3v9/XZbO/DQ8tmOT6PfKCCKel5oi3pWhDXm1Nvb9YIESB2Vdrawb58un7aou4yrrS3sXl6A+fPhxAmd1fmQOuOTJ3X6TUeHFc2TJ+1fqLMH27cHBlJBmj8/jM9d1/ff1+UbGLDXRqPNTpBcmzWyzMFBax+E2+iXy0+e1BEk5xO1AiOXqWuL+uHDdgpDi0/LZyshinpezJs3PnLWEvVDh3QW3omkzrTsmbpzzqHn0J8b1XZUx49b8Qidwujutg5l7167vWBBGJ8TtKNHrZ2hfI7zxAn7FyqYYG1yfI4/lA/g3Xd1+JxAHj+uF8h0d1uu/n5bmQjNWl1ffu+98dt54cZef79udUJb1P1MXSuzducwlG/WLHtdY/m9RTB3rp2fcc5Zq8Pt3m1ftTKk/n7rrDScvVsod+yYzehCs0znWHbtsq8LF4bxTZ9uM2ln46JFYXyQBjJa59AJ0M6d9lVL1LUEznGcOJEGMlp8TtRDHb47Zzt22NfQsdLRYa+zpqgvWGD7oBafGxtabXZ8e/fqZK1g23z8uJ6od3enATWEc7rjnY8N5XOJkwuMoqg3OZxj2bLFvoYKiHOeW7fq8IEdFCdO2CxOS+CGhmz5atEinYV3kApSqKiDHViHD9sFVBoi7GfqGnzOGWuJepZPW4Q12rxgga0+vfeedYLt7eH2gW6bnSBpirA2H6RtDhWk7m47neSCBA1BWrgwDWQ0RN35rB07bEYcuhZj8WL76nysRr9xbT52TMd/KSCKel709NjXvj4rTqFzrQsWWGfX12e3XQcMQU+PLedrdTg3yLZs0eHLBkYanPPmpY5KK0g4edKeQ81Mfft266hCpzBmzbJ9TytIAP3yuy/CWgLs+EAvs9692z7ER4vv5Ek4ckRPPCAdK6HXua3NcmzebLc1/M2iRTaBOHw49Y+hfGB94uLF4UmEzwc6Nvb02GB1cFCHTwFR1PPCF3WNAdHWZnlch9PIrJcssVHp6KgO39Kl9nXjRl0+12YNEV62LOXTELilS+0Dhnbv1uFbssS+bt6sM0cPtt8456wlIHv32pKiVqYO1kaNfuPauGmTfXXnNARwoHUVAAALHElEQVQLFqT9ZtkyHT6wbdbgc2Ojr88GHaG/k+A4XZvdWAzBokU2iThyROeaOL+6aZMOX2enXUCsKeq+z9bQAQUEibqI3C8im0VkTERurrHfp0Rkm4jsFJGHvc+vEZGficgOEfmeiAQ8m7HBcBdwZETvYvb0WD6fPwRLlqR8miJ85owO38yZ1kGdPm3n50OrHWAdqLtdTGPQLl9uXwcHdRyf4xsYSN+HYuXKdDHRypU6fG51vhYfWBs1+KZNs317YMA6aY1S77JlaZs1rosTocFBHT7nD4aHdfqh43SPptYS9fPn7e2pWnxg/Y2GqINt88iIDaY1kgjHBy2TqW8C/jnw42o7iEg78BfAp4HVwG+LyOrk60eBPzfGrAJOAl8MtKdxWLw4fXqQRiQOacft7NRxVP5AuOoqXb5rrgnng3TwX3utDp/vQDU4tfm6utK5wauvDucDWLHCvs6YoRMMXnll+l6j3/gcGqLuc65YoVPt8K+FO58h8PuKhn/o7EyvrZa/8cewhmj651CDz++HWoLpru2iReF3JMB4/6AVbAUiSNSNMVuMMdsm2O0WYKcxZpcx5hzwJHCviAhwB/CDZL/Hgc+G2NNQdHSknW716tr7ThY33GBfV63ScVSOD+D668P5fGf3wQ+G8wFcd519/cAHdPh8x6IxyHw+jUBGJBU2LVF3/XDJEp3HVPrOVEOE/TlqLVF3506Lz7+2Gpm1L+pa19lxagXUbsx1d+tUyXyf8KEPhfNdcUX6g0zaPvbDH9bh8+3y/e0UohFz6suBvd72vuSzBUC/MWY083nzwF3Ej3xEh++mm+yrlhNwfKBTLu/oSOcKb7wxnA9gzRr7qjUgPv7x9L1GYOSLhtZ1dpnWLbfo8Lk2a8x/A6xdm753QVcIRFLnfPvt4XwAv/iL9lXL2X/0o+l7jflqP5Dx+2QIXL/5pV/S4XNjTyug9kVdI4mA1Bf6viwErs2/8As6fM4nzJxZih9zARBjTO0dRF4CKtVSHjHG/DDZZz3wFWPMmxWOvx/4dWPMl5Ltf4XN3r8OvGqM+UDy+UrgOWNMRc8pIg8ADwD09PSsffLJJyfVwMlgaGiIOTlul5i1fz9z336bw3fdhenoCLaj7dw5lj77LEfuvJPzOcvv2bYsfvFFzlx5JYMakTMw7623mHnwIIc+8xkVvulHj7Lib/6GPZ//PGMZZ5rruoyNcc23v82RO+5gWEOQgMUvvUTbuXMcuvvuXMdn2zF7926WPfss7z70EEahBCjnzrHqG99g7/33c8bPsgOw/OmnOT9nDkfuumvc53nHStc777Cot5d3H3pIJdhqHx7mur/8S95bt46zOQPWbFtWPvkkw1ddxYmPfSzYPoB5GzbQtWkT7//u76rwdfT3c+UTT7Bn3ToueHbnvSYYw8qnnqL/xhsZVAqq523YwLRTpziWM3jLtmXG4cMs/OlP2X/PPeG3QgIyOsqSH/2IE7femrvfZLFo/XrOLl7MqUyAmfu6VMEnPvGJfzTGVF27dhHGmOA/YD1wc5XvPgY8721/LfkT4BgwrdJ+tf7Wrl1rNNHb26vKN5WIbSkfWqUdxsS2lBGt0g5jYltqAXjTTEIfG1F+fwNYlax0nw58DngmMbIXuC/Zbx3wwwbYExERERER0ZIIvaXtN0VkHzbL/jsReT75fJmIPAdg7Jz5l4HngS3AU8aY5KZavgr8WxHZiZ1j/3aIPREREREREZczgib0jDFPA09X+PwAcLe3/RzwXIX9dmHn1yMiIiIiIiICEZ8oFxERERER0SKIoh4REREREdEiiKIeERERERHRIoiiHhERERER0SKIoh4REREREdEiiKIeERERERHRIoiiHhERERER0SKIoh4REREREdEiiKIeERERERHRIoiiHhERERER0SKY8KdXywgROQq8p0i5EPuLca2A2JbyoVXaAbEtZUSrtANiW2rhKmPMhL8X25Sirg0RedNM5ndqmwCxLeVDq7QDYlvKiFZpB8S2aCCW3yMiIiIiIloEUdQjIiIiIiJaBFHULR6bagMUEdtSPrRKOyC2pYxolXZAbEsw4px6REREREREiyBm6hERERERES2Cy1LUReQ/ishGEdkgIi+IyLIq+60TkR3J37pG2zkZiMh/E5GtSXueFpF5VfbbIyJ9SZvfbLSdk0EdbfmUiGwTkZ0i8nCj7ZwIInK/iGwWkTERqbr6tUmuyWTbUuprAiAi80XkxWQ8vygi3VX2u5Bckw0i8kyj7ayGic6xiMwQke8l3/9MRK5uvJWTwyTa8nsictS7Dl+aCjsngoj8TxE5IiKbqnwvIvLfk3ZuFJGbCjfKGHPZ/QFd3vt/DXyrwj7zgV3Ja3fyvnuqba9g5yeBacn7R4FHq+y3B1g41faGtgVoB94FrgWmA28Dq6fa9oyNNwAfAtYDN9fYrxmuyYRtaYZrktj5X4GHk/cP1xgrQ1Nta55zDDzkfBnwOeB7U213QFt+D/jmVNs6ibbcDtwEbKry/d3AjwABbgV+VrRNl2Wmbow55W12ApUWFvw68KIx5oQx5iTwIvCpRthXD4wxLxhjRpPN14AVU2lPCCbZlluAncaYXcaYc8CTwL2NsnEyMMZsMcZsm2o7NDDJtpT+miS4F3g8ef848NkptKVeTOYc++37AXCniEgDbZwsmqW/TAhjzI+BEzV2uRf438biNWCeiCwt0qbLUtQBRORPRGQv8C+Bf19hl+XAXm97X/JZmfH72KiwEgzwgoj8o4g80ECb8qJaW5rxulRDs12TamiWa9JjjDkIkLwurrLfTBF5U0ReE5GyCP9kzvHFfZLgeABY0BDr6sNk+8u/SErWPxCRlY0xTR0NHxvTiiSfSojIS8CSCl89Yoz5oTHmEeAREfka8GXgP2QpKhw7JbcKTNSWZJ9HgFHgiSo0txljDojIYuBFEdmaRJkNhUJbSnFdJtOOSaBprslEFBU+K91YqYPmyuS6XAv8vYj0GWPe1bEwNyZzjktzHSbAZOx8FviuMeasiDyIrUDcUbhl+mj4NWlZUTfG/NNJ7vp/gL/jUlHfB/yat70CO6/YcEzUlmQR3z8D7jTJRE4FjgPJ6xEReRpbAmu4gCi0ZR/gR+0rgAN6Fk4OdfSvWhxNcU0mgVJcE6jdFhE5LCJLjTEHkxLokSoc7rrsEpH1wD/BzgFPJSZzjt0++0RkGjCX2qXhqcKEbTHGHPc2/wd2jU0zouFj47Isv4vIKm/zHmBrhd2eBz4pIt3JKtlPJp+VCiLyKeCrwD3GmNNV9ukUkSvce2xbKq7WnEpMpi3AG8AqEblGRKZjFwSVZoXyZNEs12SSaJZr8gzg7mJZB1xShUjG+4zk/ULgNuCdhllYHZM5x3777gP+vlqQP8WYsC2Zeed7gC0NtE8TzwCfT1bB3woMuCmgwjDVqwen4g/4v1gHuhFb5lmefH4z8Ffefr8P7Ez+vjDVdldpy07snM2G5M+tfl0GPJe8vxa7wvRtYDO2rDrltudpS7J9N7Admz2Vri3Ab2Ij9LPAYeD5Jr4mE7alGa5JYuMC4GVgR/I6P/n84rgHfhnoS65LH/DFqba71jkGvo4NggFmAt9PxtHrwLVTbXNAW/5zMi7eBnqB66fa5irt+C5wEDifjJMvAg8CDybfC/AXSTv7qHE3jNZffKJcREREREREi+CyLL9HRERERES0IqKoR0REREREtAiiqEdERERERLQIoqhHRERERES0CKKoR0REREREtAiiqEdERERERLQIoqhHRERERES0CKKoR0REREREtAj+P1UGHLagVAHnAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Combining everything together\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "button = widgets.Button(\n",
    "    description='Plot',\n",
    ")\n",
    "\n",
    "def plot2(b=None):\n",
    "    xlim = range_slider.value\n",
    "    freq = freq_slider.value\n",
    "    grid = grid_button.value\n",
    "    color = color_buttons.value\n",
    "    title = title_textbox.value\n",
    "    bgcolor = color_picker.value\n",
    "\n",
    "    t = np.linspace(xlim[0], xlim[1], 1000)\n",
    "    f, ax = plt.subplots(1, 1, figsize=(8, 6))\n",
    "    ax.plot(t, np.sin(2 * np.pi * freq * t),\n",
    "            color=color)\n",
    "    ax.grid(grid)\n",
    "\n",
    "@button.on_click\n",
    "def plot_on_click(b):\n",
    "    plot2()\n",
    "    \n",
    "tab1 = widgets.VBox(children=[freq_slider,\n",
    "                      range_slider,\n",
    "                      ])\n",
    "tab2 = widgets.VBox(children=[color_buttons,\n",
    "                      widgets.HBox(children=[title_textbox,\n",
    "                                     color_picker,\n",
    "                                     grid_button]),\n",
    "                                     ])\n",
    "\n",
    "tab = widgets.Tab(children=[tab1, tab2])\n",
    "tab.set_title(0, 'plot')\n",
    "tab.set_title(1, 'styling')\n",
    "widgets.VBox(children=[tab, button])"
   ]
  },
  {
   "attachments": {
    "pywidget.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![pywidget.png](attachment:pywidget.png)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}