From 6e3d89e911cf40c634345c93a5c0982dad16d3ac Mon Sep 17 00:00:00 2001
From: TimoDiepers <timo.diepers@gmail.com>
Date: Tue, 1 Oct 2024 08:04:24 +0200
Subject: [PATCH] add biosphere3 flows to dynamic_characterization example

---
 ...mple_simple_dynamic_characterization.ipynb | 455 +++++++++---------
 1 file changed, 240 insertions(+), 215 deletions(-)

diff --git a/notebooks/example_simple_dynamic_characterization.ipynb b/notebooks/example_simple_dynamic_characterization.ipynb
index 3eee334..1311a70 100644
--- a/notebooks/example_simple_dynamic_characterization.ipynb
+++ b/notebooks/example_simple_dynamic_characterization.ipynb
@@ -14,7 +14,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 30,
    "id": "5d3622ff",
    "metadata": {},
    "outputs": [
@@ -22,7 +22,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 1/1 [00:00<00:00, 17549.39it/s]\n"
+      "100%|██████████| 1/1 [00:00<00:00, 14463.12it/s]\n"
      ]
     },
     {
@@ -37,7 +37,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 1/1 [00:00<00:00, 20763.88it/s]"
+      "100%|██████████| 1/1 [00:00<00:00, 27594.11it/s]"
      ]
     },
     {
@@ -67,9 +67,9 @@
     "\n",
     "bd.projects.set_current(project_name)\n",
     "\n",
-    "bd.Database(\"temporalis-bio\").write(\n",
+    "bd.Database(\"biosphere\").write(\n",
     "    {\n",
-    "        (\"temporalis-bio\", \"CH4\"): {  # only biosphere flow is CH4\n",
+    "        (\"biosphere\", \"CH4\"): {  # only biosphere flow is CH4\n",
     "            \"type\": \"emission\",\n",
     "            \"name\": \"methane\",\n",
     "            \"temporalis code\": \"ch4\",\n",
@@ -92,7 +92,7 @@
     "                {\n",
     "                    \"amount\": 1,\n",
     "                    \"type\": \"biosphere\",\n",
-    "                    \"input\": (\"temporalis-bio\", \"CH4\"),\n",
+    "                    \"input\": (\"biosphere\", \"CH4\"),\n",
     "                    \"temporal_distribution\": TemporalDistribution(\n",
     "                        date=np.array([10], dtype=\"timedelta64[Y]\"),\n",
     "                        amount=np.array([1]),\n",
@@ -105,7 +105,7 @@
     "\n",
     "bd.Method((\"GWP\", \"example\")).write(\n",
     "    [\n",
-    "        ((\"temporalis-bio\", \"CH4\"), 29.8),  # GWP100 from IPCC AR6\n",
+    "        ((\"biosphere\", \"CH4\"), 29.8),  # GWP100 from IPCC AR6\n",
     "    ]\n",
     ")"
    ]
@@ -120,7 +120,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 31,
    "id": "8d9405d9",
    "metadata": {},
    "outputs": [],
@@ -131,7 +131,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 32,
    "id": "71bba776",
    "metadata": {},
    "outputs": [
@@ -139,7 +139,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/timodiepers/Documents/Coding/timex/bw_timex/timex_lca.py:101: UserWarning: No database_date_dict provided. Treating the databases containing the functional unit as dynamic. No remapping to time explicit databases will be done.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/bw_timex/timex_lca.py:127: UserWarning: No database_date_dict provided. Treating the databases containing the functional                 unit as dynamic. No remapping to time explicit databases will be done.\n",
       "  warnings.warn(\n"
      ]
     }
@@ -152,7 +152,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 33,
    "id": "c40754e8",
    "metadata": {},
    "outputs": [
@@ -168,9 +168,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/timodiepers/Documents/Coding/timex/bw_timex/timex_lca.py:183: UserWarning: No edge filter function provided. Skipping all edges within background databases.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/bw_timex/timex_lca.py:213: UserWarning: No edge filter function provided. Skipping all edges in background databases.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/timex/bw_timex/timeline_builder.py:353: Warning: No time-explicit databases are provided. Mapping to time-explicit databases is not possible.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/bw_timex/timeline_builder.py:393: Warning: No time-explicit databases are provided. Mapping to time-explicit databases is not possible.\n",
       "  warnings.warn(\n"
      ]
     },
@@ -206,9 +206,9 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>2024-01-01</td>\n",
+       "      <td>2025-01-01</td>\n",
        "      <td>A</td>\n",
-       "      <td>2024-01-01</td>\n",
+       "      <td>2025-01-01</td>\n",
        "      <td>-1</td>\n",
        "      <td>1.0</td>\n",
        "      <td>None</td>\n",
@@ -219,13 +219,13 @@
       ],
       "text/plain": [
        "  date_producer producer_name date_consumer consumer_name amount  \\\n",
-       "0    2024-01-01             A    2024-01-01            -1    1.0   \n",
+       "0    2025-01-01             A    2025-01-01            -1    1.0   \n",
        "\n",
        "  interpolation_weights  \n",
        "0                  None  "
       ]
      },
-     "execution_count": 20,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -236,17 +236,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 34,
    "id": "1c833eff",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "A\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/scipy/sparse/linalg/_dsolve/linsolve.py:603: SparseEfficiencyWarning: splu converted its input to CSC format\n",
+      "  return splu(A).solve\n"
+     ]
+    }
+   ],
    "source": [
     "tlca.lci()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 35,
    "id": "4a51cd8a",
    "metadata": {},
    "outputs": [
@@ -256,7 +272,7 @@
        "29.799999237060547"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -296,7 +312,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 36,
    "id": "b86341cc",
    "metadata": {},
    "outputs": [],
@@ -314,7 +330,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 37,
    "id": "c01ea15d",
    "metadata": {},
    "outputs": [],
@@ -326,7 +342,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 38,
    "id": "246683b4",
    "metadata": {},
    "outputs": [
@@ -360,35 +376,35 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>2034-12-31 16:01:12</td>\n",
+       "      <td>2036-01-01 05:49:12</td>\n",
        "      <td>1.922234e-13</td>\n",
        "      <td>1</td>\n",
        "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>2035-12-31 21:50:24</td>\n",
+       "      <td>2036-12-31 11:38:24</td>\n",
        "      <td>1.766044e-13</td>\n",
        "      <td>1</td>\n",
        "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>2036-12-31 03:39:36</td>\n",
+       "      <td>2037-12-31 17:27:36</td>\n",
        "      <td>1.622546e-13</td>\n",
        "      <td>1</td>\n",
        "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>2037-12-31 09:28:48</td>\n",
+       "      <td>2038-12-31 23:16:48</td>\n",
        "      <td>1.490707e-13</td>\n",
        "      <td>1</td>\n",
        "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>2038-12-31 15:18:00</td>\n",
+       "      <td>2040-01-01 05:06:00</td>\n",
        "      <td>1.369581e-13</td>\n",
        "      <td>1</td>\n",
        "      <td>3</td>\n",
@@ -401,63 +417,63 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
+       "      <th>84</th>\n",
+       "      <td>2120-01-01 14:42:00</td>\n",
+       "      <td>1.556748e-16</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>85</th>\n",
-       "      <td>2120-01-01 06:43:12</td>\n",
+       "      <td>2120-12-31 20:31:12</td>\n",
        "      <td>1.430256e-16</td>\n",
        "      <td>1</td>\n",
        "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>86</th>\n",
-       "      <td>2120-12-31 12:32:24</td>\n",
+       "      <td>2122-01-01 02:20:24</td>\n",
        "      <td>1.314042e-16</td>\n",
        "      <td>1</td>\n",
        "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>87</th>\n",
-       "      <td>2121-12-31 18:21:36</td>\n",
+       "      <td>2123-01-01 08:09:36</td>\n",
        "      <td>1.207270e-16</td>\n",
        "      <td>1</td>\n",
        "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>88</th>\n",
-       "      <td>2123-01-01 00:10:48</td>\n",
+       "      <td>2124-01-01 13:58:48</td>\n",
        "      <td>1.109175e-16</td>\n",
        "      <td>1</td>\n",
        "      <td>3</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>89</th>\n",
-       "      <td>2124-01-01 06:00:00</td>\n",
-       "      <td>1.019049e-16</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>90 rows × 4 columns</p>\n",
+       "<p>89 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "                  date        amount  flow  activity\n",
-       "0  2034-12-31 16:01:12  1.922234e-13     1         3\n",
-       "1  2035-12-31 21:50:24  1.766044e-13     1         3\n",
-       "2  2036-12-31 03:39:36  1.622546e-13     1         3\n",
-       "3  2037-12-31 09:28:48  1.490707e-13     1         3\n",
-       "4  2038-12-31 15:18:00  1.369581e-13     1         3\n",
+       "0  2036-01-01 05:49:12  1.922234e-13     1         3\n",
+       "1  2036-12-31 11:38:24  1.766044e-13     1         3\n",
+       "2  2037-12-31 17:27:36  1.622546e-13     1         3\n",
+       "3  2038-12-31 23:16:48  1.490707e-13     1         3\n",
+       "4  2040-01-01 05:06:00  1.369581e-13     1         3\n",
        "..                 ...           ...   ...       ...\n",
-       "85 2120-01-01 06:43:12  1.430256e-16     1         3\n",
-       "86 2120-12-31 12:32:24  1.314042e-16     1         3\n",
-       "87 2121-12-31 18:21:36  1.207270e-16     1         3\n",
-       "88 2123-01-01 00:10:48  1.109175e-16     1         3\n",
-       "89 2124-01-01 06:00:00  1.019049e-16     1         3\n",
+       "84 2120-01-01 14:42:00  1.556748e-16     1         3\n",
+       "85 2120-12-31 20:31:12  1.430256e-16     1         3\n",
+       "86 2122-01-01 02:20:24  1.314042e-16     1         3\n",
+       "87 2123-01-01 08:09:36  1.207270e-16     1         3\n",
+       "88 2124-01-01 13:58:48  1.109175e-16     1         3\n",
        "\n",
-       "[90 rows x 4 columns]"
+       "[89 rows x 4 columns]"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -472,13 +488,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 39,
    "id": "5868fb38",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1400x600 with 1 Axes>"
       ]
@@ -501,7 +517,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 40,
    "id": "40c30c15",
    "metadata": {},
    "outputs": [
@@ -509,7 +525,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "characterized dynamic score: 2.364552528630073e-12\n"
+      "characterized dynamic score: 2.3644506236849053e-12\n"
      ]
     }
    ],
@@ -529,7 +545,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 41,
    "id": "7fdfc3c7",
    "metadata": {},
    "outputs": [
@@ -564,7 +580,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 42,
    "id": "bc445e2a",
    "metadata": {},
    "outputs": [
@@ -572,12 +588,12 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "characterized dynamic score: 2.364552528630073e-12\n"
+      "characterized dynamic score: 2.3644506236849053e-12\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1400x600 with 1 Axes>"
       ]
@@ -655,7 +671,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 43,
    "id": "d66dd743",
    "metadata": {},
    "outputs": [
@@ -665,14 +681,6 @@
      "text": [
       "characterized dynamic score: 81.38137397247695\n"
      ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
-      "  warnings.warn(\n"
-     ]
     }
    ],
    "source": [
@@ -697,7 +705,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 44,
    "id": "eecd5073",
    "metadata": {},
    "outputs": [
@@ -705,15 +713,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "characterized dynamic score: 58.12589062375878\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
-      "  warnings.warn(\n"
+      "characterized dynamic score: 54.271464562232225\n"
      ]
     }
    ],
@@ -737,63 +737,106 @@
    "source": [
     "## Example with more GHGs\n",
     "\n",
-    "Lastly, let's look at a system with multiple GHGs spread over time.\n"
+    "Lastly, let's look at a system with multiple GHGs spread over time. Also, we connect our simple foreground system to an actual biosphere3 database.\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 45,
+   "id": "20198127",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Applying strategy: normalize_units\n",
+      "Applying strategy: drop_unspecified_subcategories\n",
+      "Applying strategy: ensure_categories_are_tuples\n",
+      "Applied 3 strategies in 0.00 seconds\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 4709/4709 [00:00<00:00, 51752.90it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Vacuuming database \n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Created database: biosphere3\n"
+     ]
+    }
+   ],
+   "source": [
+    "import bw2io as bi\n",
+    "bi.create_default_biosphere3()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "0bac45da",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/bw2data/utils.py:377: UserWarning: Given search criteria very broad; try to specify at least a database\n",
+      "  warnings.warn(\"Given search criteria very broad; try to specify at least a database\")\n"
+     ]
+    }
+   ],
+   "source": [
+    "co2 = bd.get_node(name=\"Carbon dioxide, fossil\", categories=(\"air\",))\n",
+    "ch4 = bd.get_node(name=\"Methane, fossil\", categories=(\"air\",))\n",
+    "n2o = bd.get_node(name=\"Dinitrogen monoxide\", categories=(\"air\",))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
    "id": "e075e0f9",
    "metadata": {},
    "outputs": [],
    "source": [
     "def write_database_multi_emission():\n",
-    "\n",
-    "    project_name = \"__test_database1__\"\n",
-    "    if project_name in bd.projects:\n",
-    "        bd.projects.delete_project(project_name)\n",
-    "        bd.projects.purge_deleted_directories()\n",
-    "\n",
-    "    bd.projects.set_current(project_name)\n",
-    "\n",
-    "    bd.Database(\"temporalis-bio\").write(\n",
-    "        {\n",
-    "            (\"temporalis-bio\", \"CH4\"): {\n",
-    "                \"type\": \"emission\",\n",
-    "                \"name\": \"methane\",\n",
-    "                \"temporalis code\": \"ch4\",\n",
-    "            },\n",
-    "            (\"temporalis-bio\", \"CO2\"): {\n",
-    "                \"type\": \"emission\",\n",
-    "                \"name\": \"carbon dioxide\",\n",
-    "                \"temporalis code\": \"co2\",\n",
-    "            },\n",
-    "            (\"temporalis-bio\", \"N2O\"): {\n",
-    "                \"type\": \"emission\",\n",
-    "                \"name\": \"nitrious oxide\",\n",
-    "                \"temporalis code\": \"n2o\",\n",
-    "            },\n",
-    "        }\n",
-    "    )\n",
-    "\n",
     "    bd.Database(\n",
-    "        \"test\"\n",
+    "        \"test-multi-emission\"\n",
     "    ).write(  # dummy system containing 1 activity with multiple emissions\n",
     "        {\n",
-    "            (\"test\", \"A\"): {\n",
-    "                \"name\": \"A\",\n",
+    "            (\"test-multi-emission\", \"B\"): {\n",
+    "                \"name\": \"B\",\n",
     "                \"location\": \"somewhere\",\n",
-    "                \"reference product\": \"a\",\n",
+    "                \"reference product\": \"b\",\n",
     "                \"exchanges\": [\n",
     "                    {\n",
     "                        \"amount\": 1,\n",
     "                        \"type\": \"production\",\n",
-    "                        \"input\": (\"test\", \"A\"),\n",
+    "                        \"input\": (\"test-multi-emission\", \"B\"),\n",
     "                    },\n",
     "                    {\n",
     "                        \"amount\": 0.5,\n",
     "                        \"type\": \"biosphere\",\n",
-    "                        \"input\": (\"temporalis-bio\", \"CH4\"),\n",
+    "                        \"input\": ch4,\n",
     "                        \"temporal_distribution\": TemporalDistribution(\n",
     "                            date=np.array([10, 15], dtype=\"timedelta64[Y]\"),\n",
     "                            amount=np.array([0.5, 0.5]),\n",
@@ -802,7 +845,7 @@
     "                    {\n",
     "                        \"amount\": 20,\n",
     "                        \"type\": \"biosphere\",\n",
-    "                        \"input\": (\"temporalis-bio\", \"CO2\"),\n",
+    "                        \"input\": co2,\n",
     "                        \"temporal_distribution\": TemporalDistribution(\n",
     "                            date=np.array([-10, 5], dtype=\"timedelta64[Y]\"),\n",
     "                            amount=np.array([0.5, 0.5]),\n",
@@ -811,7 +854,7 @@
     "                    {\n",
     "                        \"amount\": 0.05,\n",
     "                        \"type\": \"biosphere\",\n",
-    "                        \"input\": (\"temporalis-bio\", \"N2O\"),\n",
+    "                        \"input\": n2o,\n",
     "                        \"temporal_distribution\": TemporalDistribution(\n",
     "                            date=np.array([0], dtype=\"timedelta64[Y]\"),\n",
     "                            amount=np.array([1]),\n",
@@ -822,33 +865,25 @@
     "        }\n",
     "    )\n",
     "\n",
-    "    bd.Method((\"GWP\", \"example\")).write(\n",
+    "    bd.Method((\"GWP\", \"multi-example\")).write(\n",
     "        [\n",
-    "            ((\"temporalis-bio\", \"CH4\"), 29.8),  # GWP100 from IPCC AR6\n",
-    "            ((\"temporalis-bio\", \"N2O\"), 273),\n",
-    "            ((\"temporalis-bio\", \"CO2\"), 1),\n",
+    "            (ch4, 29.8),  # GWP100 from IPCC AR6\n",
+    "            (n2o, 273),\n",
+    "            (co2, 1),\n",
     "        ]\n",
     "    )"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 48,
    "id": "15b6f25d",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "100%|██████████| 3/3 [00:00<00:00, 28597.53it/s]\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Vacuuming database \n",
       "Not able to determine geocollections for all datasets. This database is not ready for regionalization.\n"
      ]
     },
@@ -856,7 +891,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 1/1 [00:00<00:00, 22671.91it/s]"
+      "100%|██████████| 1/1 [00:00<00:00, 27962.03it/s]"
      ]
     },
     {
@@ -883,12 +918,12 @@
    "id": "dc4752ed",
    "metadata": {},
    "source": [
-    "Import additional default dynamic characterization function for N2O and calculate time-explicit LCA.\n"
+    "Calculate time-explicit LCA.\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 49,
    "id": "6ef97c64",
    "metadata": {},
    "outputs": [
@@ -897,27 +932,29 @@
      "output_type": "stream",
      "text": [
       "Starting graph traversal\n",
-      "Calculation count: 0\n"
+      "Calculation count: 0\n",
+      "B\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/timodiepers/Documents/Coding/timex/bw_timex/timex_lca.py:101: UserWarning: No database_date_dict provided. Treating the databases containing the functional unit as dynamic. No remapping to time explicit databases will be done.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/bw_timex/timex_lca.py:127: UserWarning: No database_date_dict provided. Treating the databases containing the functional                 unit as dynamic. No remapping to time explicit databases will be done.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/timex/bw_timex/timex_lca.py:183: UserWarning: No edge filter function provided. Skipping all edges within background databases.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/bw_timex/timex_lca.py:213: UserWarning: No edge filter function provided. Skipping all edges in background databases.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/timex/bw_timex/timeline_builder.py:353: Warning: No time-explicit databases are provided. Mapping to time-explicit databases is not possible.\n",
-      "  warnings.warn(\n"
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/bw_timex/timeline_builder.py:393: Warning: No time-explicit databases are provided. Mapping to time-explicit databases is not possible.\n",
+      "  warnings.warn(\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/scipy/sparse/linalg/_dsolve/linsolve.py:603: SparseEfficiencyWarning: splu converted its input to CSC format\n",
+      "  return splu(A).solve\n"
      ]
     }
    ],
    "source": [
-    "from dynamic_characterization.ipcc_ar6.radiative_forcing import characterize_n2o, characterize_co2\n",
     "\n",
-    "demand = {(\"test\", \"A\"): 1}\n",
-    "gwp = (\"GWP\", \"example\")\n",
+    "demand = {(\"test-multi-emission\", \"B\"): 1}\n",
+    "gwp = (\"GWP\", \"multi-example\")\n",
     "\n",
     "tlca = TimexLCA(demand, gwp)\n",
     "tlca.build_timeline()\n",
@@ -930,21 +967,7 @@
    "id": "91853182",
    "metadata": {},
    "source": [
-    "match dynamic charcterization functions to biosphere flows:\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "id": "f6ff1eb3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "characterization_function_dict = {\n",
-    "    bd.get_node(code=\"CH4\").id: characterize_ch4,\n",
-    "    bd.get_node(code=\"CO2\").id: characterize_co2,\n",
-    "    bd.get_node(code=\"N2O\").id: characterize_n2o,\n",
-    "}"
+    "Now that we work with an actual biosphere3 database, we can take advantage of another nice feature of the `dynamic_characterization` package: It automatically matches the biosphere3 flows to the available characterization functions, so we don't need to specify a `characterization_function_dict` ourselves:"
    ]
   },
   {
@@ -952,18 +975,26 @@
    "id": "bfa83b85",
    "metadata": {},
    "source": [
-    "### Radiative forcing:\n"
+    "### Radiative forcing:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 50,
    "id": "e3b6c6b4",
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
+      "  warnings.warn(\n"
+     ]
+    },
     {
      "data": {
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Tp8tiscS7HBxkuP4QT1x/iDeuQcQT1x/iiesP8dYTrsGGhgZlZGR8p3An7suyrFar+vbtK0kaO3as5s+fr7///e966KGHOn2vzWaTzWbrdNxisfAXvhvwOiOeuP4QT1x/iDeuQcQT1x/iiesP8RbPa/D7nDeuu2VFEw6HI2bnAAAAAAAAILa4ztz51a9+peOOO06FhYVqbGzUCy+8oE8//VTvv/9+PMsCAAAAAABIGHENd3bt2qULL7xQ5eXlSk5O1vDhw/X+++9r+vTp8SwLQALxBUKSJKu5x01ElNTz6wMAAACQ+OIa7jz22GPxPD2ABFbR0KblZfV6Yf42GQ3S+ROKNSjXrUy3Pd6lSZKqGr1au6tRz87dKl8wpLPGFmpEYYqyPT2jPgAAAAAHjrg3VAaA72tXQ5uue26R5m+p7Tj2wcpdOmxApv50xnBlxTngqWz06rdvrNB7K3d2HPtodYVGFCTroQvHKieZgAcAAABA12GdAICEM3NdZUSws9unayu1pLSu+wv6htXlDRHBzm5Lt9frw1U7FQ6H41AVAAAAgAMV4Q6AhFLb7NNTX2yJOf7knC1q9vq7r6BvaPMH9lrf019sVXWzr/sKAgAAAHDAI9wBkFBC4XBHk+JovIGQgrGH97tQWPL6914fM3cAAAAAdCXCHQAJJcVp1ckj8mKOnzY6Xx6HpRsriuS0mnX6mPyY4ycNz1WK09qNFQEAAAA40BHuAEgoJqNBp44qUG6UpsS90p06YkBWHKqKNLEkXf2yXZ2OZ7psOmd8kSwm3noBAAAAdB12ywKQcPJTHXr5qkl6bl6pXl9cJqPBoDPHFuissYXKTXHEuzzlJjv0n0vH67WF2/X8/G0KBMM6aUSufjyplwrTnPEuDwAAAMABhnAHQEIqSHXqp9P766LJvWSQlJ5klakHzYjJTXboqsP66syxhQpLSnVaZDWb4l0WAAAAgAMQ4Q6AhGUxGZXt6bw8q6cwGQ3K6sH1AQAAADgw9JyPuQEAAAAAAPC9Ee4AAAAAAAAkMMIdAAAAAACABLZP4c7MmTMVCAQ6HQ8EApo5c+YPLgoAAAAAAADfzT6FO4cffrhqamo6Ha+vr9fhhx/+g4sCAAAAAADAd7NP4U44HJbBYOh0vLq6WklJST+4KAAAAAAAAHw332sr9NNOO02SZDAYdPHFF8tms3WMBYNBLVu2TJMnT+7aCgEAAAAAABDT9wp3kpOTJbXP3HG73XI4HB1jVqtVEydO1OWXX961FQIAAAAAACCm7xXuPPHEE5KkXr166dZbb2UJFgAAAAAAQJx9r3Bnt9/97nddXQcAAAAAAAD2wT41VN61a5cuvPBC5eXlyWw2y2QyRfwHAAAAAACA7rFPM3cuvvhilZaW6je/+Y1yc3Oj7pwFAPFW0dCm2ha/DJJSnBZleezxLilCVZNXNc0+hcJhpTgsyvbYeT8FAAAA8L3tU7gze/ZszZo1SyNHjuzicgDgh/P6g1qyvU4/e3mZSmtaJEnF6U7dd+YIDS9IltUc3xmGwVBYq8obdPOLS7S+okmSlOOx6+7ThmlCSZqc1n16awYAAABwkNqnZVmFhYUKh8NdXQsAdInSmhad/8i8jmBHkrZWt+i8R+ZpW01rHCtrt722RWc/9EVHsCNJOxvadOlT87WxojmOlQEAAABIRPsU7tx///267bbbtGXLli4uBwB+GG8gqEdnbVIg1DmA9gVDenLOZvkCwThU1i4UCuutJTvU4utcQzgs/e2jdWpqC8ShMgAAAACJap/m/p999tlqaWlRnz595HQ6ZbFYIsZramq6pDgA+L6a2gJasq0+5vii0jo1e4NxW5rlDYT05ZbY75EryurV7AvIZWdpFgAAAIDvZp/uHu6///4uLgMAuobdYlJhmkNrdzVGHS9Oc8pu3adJi13CajKoJCNJs9ZXRR3PT3HIZo5ffQAAAAASzz6FOxdddFFX1wEAXSLJZtbVh/XVR6sroo5feWgfOSzxmxVjMhl1/oRi/WfuVkVrXXbDUf2U4rR2f2EAAAAAEtY+3eGUlpbudbyoqGifigGArtAvy6U/nDJE/++dVfIH2xMUq8moO04eopKMpDhXJxWkOfTPc0fplpeXqs0fkiSZjAbdeGRfjSxMiW9xAAAAABLOPoU7vXr1ksFgiDkeDMavWSkAeBwWnTmmQIcNyNLmyibJIJVkuJThtslhie826JLktJo1fXC2Zvz0UG2taZEvEFSfTJcyXDYl2ei1AwAAAOD72ae7iMWLF0d87ff7tXjxYv31r3/VXXfd1SWFAcAP4bCaVZRmVlGaM96lRGU1m1SY5lRhD60PAAAAQOLYp3BnxIgRnY6NHTtWeXl5+vOf/6zTTjvtBxcGAAAAAACAb9elW7L0799f8+fP78qnBAAAAAAAwF7s08ydhoaGiK/D4bDKy8t1xx13qF+/fl1SGAAAAAAAAL7dPoU7KSkpnRoqh8NhFRYW6oUXXuiSwgAAAAAAAPDt9inc+eSTTyK+NhqNyszMVN++fWU2s9MLAAAAAABAd9mnJObQQw/t6joAAAAAAACwD/Z5ms3GjRt1//33a/Xq1TIYDBo0aJBuvPFG9enTpyvrAwAAAAAAwF7s025ZH3zwgQYPHqwvv/xSw4cP19ChQzVv3jwNGTJEM2bM6OoaAQAAAAAAEMM+zdy57bbb9NOf/lT33HNPp+O/+MUvNH369C4pDgAAAAAAAHu3TzN3Vq9ercsuu6zT8UsvvVSrVq36wUUBAAAAAADgu9mnmTuZmZlasmSJ+vXrF3F8yZIlysrK6pLCAGB/avYGVNXk1YqyBoUV1tC8ZGW4bXLZesaOf63+oCobvVpd3qA2f1BD85OV6bLJ47DEuzQAAAAAPcw+3cVcfvnluuKKK7Rp0yZNnjxZBoNBs2fP1r333qtbbrmlq2sEgC5V3+rXS/O36e73VisUbj9mNEg/O2aAzh1fpBSnNa71NXsD+nDVLv38laXyB8Mdxy+d0kvXHt5X6S5bHKsDAAAA0NPsU7jzm9/8Rm63W/fdd59++ctfSpLy8vJ0xx136IYbbujSAgGgq63f1ai73l0dcSwUlu59f61GF6dqQu/0OFXWbntti3764pJOxx//fIvGFKfphOG53V8UAAAAgB5rn3ruGAwG/fSnP9X27dtVX1+v+vp6bd++XTfeeKMMBkNX1wgAXabVF9TDMzfFHH/w041q9ga6saJIoVBYz325Leb4vz7ZoJombzdWBAAAAKCn+8HNJdxud1fUAQDdoi0QVFlda8zx8vo2tfmDSopT7x1/KKTS6paY47sa2uQLhrqxIgAAAAA93T7N3Kmurta1116rwYMHKyMjQ2lpaRH/AUBPlWQ1aXzv2O9T43qlym2PX9Nim9mkKX1jLwsbUZgSt+AJAAAAQM+0T3cIF1xwgTZu3KjLLrtM2dnZLMUCkDCsZpMunFis5+aVyhuInAFjMxt18ZTespr3KffuMscMydE//rdeDa2Ry8OMBunm6f3jGj4BAAAA6Hn2KdyZPXu2Zs+erREjRnR1PQCw3xWlOfXyVZP0i1eXaXV5oyRpQLZb954+TIWpjjhXJxWkOvTKlZP1i9eWaXFpnSSpON2pP546TH0yk+JbHAAAAIAeZ5/CnYEDB6q1NXbPCgDoycwmo4YXpOiZyyaortUvhaVkp0UZPWSLcYPBoP45bj1+8TjVNvsUCoflcViU5bbHuzQAAAAAPdA+hTv//ve/ddttt+m3v/2thg4dKoslcomAx+PpkuIAYH9Kd9mU3kMCnWhSnValOq3xLgMAAABAD7dP4U5KSorq6+t1xBFHRBwPh8MyGAwKBoNdUhwAAAAAAAD2bp/CnfPPP19Wq1XPPfccDZUBAAAAAADiaJ/CnRUrVmjx4sUaMGBAV9cDAAAAAACA72Gf9vsdO3astm3b1tW1AAAAAAAA4Hvap5k7119/vW688Ub97Gc/07Bhwzo1VB4+fHiXFAcAAAAAAIC926dw5+yzz5YkXXrppZ3GaKgMAAAAAADQffYp3Nm8eXNX1wEAAAAAAIB9sE/hTnFxsSRp1apVKi0tlc/n6xgzGAwd4wAAAAAAANi/9inc2bRpk0499VQtX75cBoNB4XBYkjq2RGdZFoBEFwyFtauhTdVNXoUlpbtsynbbZDbtUx/6LhcOh7WrwavqZq8CwbDSXVZluW2ymk3xLg0AAABAN9uncOfGG29U79699dFHH6mkpETz5s1TTU2NbrnlFv3lL3/p6hoBoFu1+oP6YmO1bnlpiWpb/JIkj8Osu08drsMGZCrJtk9vnV3GHwhp6fY6XfvcIu1q8EqSHBaTfnX8QJ08Ml/JDsu3PAMAAACAA8k+fQT9xRdf6A9/+IMyMzNlNBplMpk0depU3X333brhhhu6ukYA6Fal1c36yVPzO4IdSWpoDeja5xZpU2VTHCtrV1bXqvMfndcR7EjtgdRv3lypZdvr4lcYAAAAgLjYp3AnGAzK5XJJkjIyMrRjxw5J7b141q5d23XVAUA38wVCeuLzLQqFo4//+9ONavEGureob3h76Q55A6GoY3/5YK1qm31RxwAAAAAcmPZpbcHQoUO1bNkylZSUaMKECfrTn/4kq9Wqhx9+WCUlJV1dIwB0mxZfQKvLG2KOr9vVpBZ/UM44Lc3yB0NaVlYfc3xzVbO8AfqeAQAAAAeTfZq5c/vttysUav/U+M4779TWrVs1bdo0vfvuu/rHP/7RpQUCQHdyWs0amOOOOd4vyyWnNX5Niy0mo4ble2KO985Iko2mygAAAMBBZZ8+ej7mmGM6/n9JSYlWrVqlmpoapaamduyYBQCJyGo26tKpvfXywu1Rl2Zdc3gfOa3xbah88oh8/euTjVGXZt1y9AClJlnjUBUAAACAeOmyPX3T0tIIdgAcEIrSnHrkx2OV4vx61ymP3ax/njtKfTJdcaysXX6qQ89cNkGZblvHMYfFpN+fPETDC5LjWBkAAACAeIjvx88A0AM5rGYd2j9T794wTdVNPoUVVrrLpmy3TWZTl2Xi+8xiMmpsr1S9dd0U1TT5FAiFle6yKsttk5UlWQAAAMBBh3AHAKIwm4zKS3EoL8UR71KiMhgMyk12KDe5Z9YHAAAAoPvE/yNoAAAAAAAA7DPCHQAAAAAAgARGuAMAAAAAAJDACHcAAAAAAAASGOEOAAAAAABAAiPcAQAAAAAASGCEOwAAAAAAAAnMHO8CACAR1TT7tK2mRW8sLpM/FNIpI/LVOyNJGW5bvEuTJNW3+lVW26o3l5Spoc2v44flakC2W1kee7xLAwAAANDFCHcA4HuqbvLq3vfX6KUF2zuOPTO3VEcMzNI9pw9Tlju+AUpdi0+Pz96sf/xvQ8ex57/cppGFKXrwgjHKSSbgAQAAAA4kLMsCgO9p9c7GiGBnt/+tqdCcDdVxqCjS9trWiGBntyXb6vTqwm0KhsJxqAoAAADA/kK4AwDfQ6s/oCdmb445/ujsTapt9nVjRZ29OH9bzLH/zN2qqiZvN1YDAAAAYH8j3AGA7yEQDKvRG4g53tQWUCAU6saKIoXDYdW2xA6XmtoCCoeZuQMAAAAcSAh3AOB7cNnMOn5Ybszxo4fkKMVp6caKIhkMBp08Ii/m+KEDMuW2x68+AAAAAF0vruHO3XffrXHjxsntdisrK0s/+tGPtHbt2niWBAB7ZTAYNH1QlnKi7DqV7LDogonFsphMcajsa8MLktUv29XpuM1s1E+P6q8kG730AQAAgANJXMOdzz77TNdee63mzp2rGTNmKBAI6Oijj1Zzc3M8ywKAvcpPderlqybp/PFFclhMspmNOmVknt68dooKUx3xLk85yQ49dcl4XXlIiTx2s8xGg44enK23r5+q3hlJ8S4PAAAAQBeL68e377//fsTXTzzxhLKysrRw4UIdcsghcaoKAL5dYZpTvz15sK47sq8UlpKdFjmtPWdGTF6KQ7ce01+XTOmlcFhy2y1y2XtOfQAAAAC6To/6l359fb0kKS0tLeq41+uV1/v1Li8NDQ2SJL/fL7/fv/8LPEjtfm15jREPPfn6M0rKcO5+Gw33yBrTe3h9PV1Pvv5wcOAaRDxx/SGeuP4Qbz3hGvw+5zaEe8i2KeFwWKeccopqa2s1a9asqN9zxx136Pe//32n488995ycTuf+LhEAAAAAAKBbtLS06LzzzlN9fb08Hs9ev7fHhDvXXnut/vvf/2r27NkqKCiI+j3RZu4UFhaqqqrqW39Q7Du/368ZM2Zo+vTpsljYZQfdi+sP8cT1h3jjGkQ8cf0hnrj+EG894RpsaGhQRkbGdwp3esSyrOuvv15vvfWWZs6cGTPYkSSbzSabzdbpuMVi4S98N+B1Rjxx/SGeuP4Qb1yDiCeuP8QT1x/iLZ7X4Pc5b1zDnXA4rOuvv16vv/66Pv30U/Xu3Tue5QAAAAAAACScuIY71157rZ577jm9+eabcrvd2rlzpyQpOTlZDkf8txMGAAAAAADo6eIa7jzwwAOSpMMOOyzi+BNPPKGLL764+wsCgC4SDIW1q6FNNc0+BUNhZbisyvTYZDWZ4l2apPaZk7sa2lTd7JM/GFJ6kk1Zbptslp5RHwAAAIDvLu7LsgDgQOP1B/Xllhrd9MISVTf7JEkum1m/P3mIjh6SLbc9vuvGA8GQlpfV65pnF6m8vk2SZDMbdevRA3TGmAKlJlnjWh8AAACA78cY7wIA4ECzrbZVlzwxvyPYkaQmb0C3vLxU63Y1xrGydjvqWnXeI/M6gh1J8gZCuuvd1fpyS00cKwMAAACwLwh3AKALBYIhPTdvqwKh6DMT//7xBjW2+bu5qkgfr6lQqz8Ydey+D9eqqsnbzRUBAAAA+CEIdwCgC7UFglpV3hBzfGNFk1p90YOV7rJ0W13Msc1VzfIHQt1XDAAAAIAfjHAHALqQ3WzS4FxPzPE+WS45rPFtWjyiMCXmWO+MJFnM/GoAAAAAEgn/ggeALmQ2GXX+hGKZjYao4zce2TfuDZWPHJQlR4xdsW49eoAyXLZurggAAADAD0G4AwBdrCDVoScuGaf0PXadctnM+utZI9Q/2x3HytrlJTv0/BUTlZts7zhmtxh1+wmDNL53WhwrAwAAALAv4roVOgAciGwWk6b0ydA7109VVbNXoZCU4bIpy2OTxRT/TN1sMmpkYYreuGaKqpq98gfDynBZlemyyRZjRg8AAACAnotwBwD2A6PRoNwUh3JTHPEuJabsZLuy95i9AwAAACAxEe4gYZXVtuiLjdX6dF2leqU7deqoAuWm2OW0clkDAAAAAA4e3AUjIW2uatJZD85VZZO349i/P92o/zt3lI4clC27xaRgKKxdDW1q9gZkMxuV5rLKZYtvI1sAAAAAALoa4Q4STn2LT7e/viIi2JGkUFi66cUl+viWw+S2mfXf5eW678O1qm3xy2Q06Jgh2br9hMHK+8YymUAwJJPRIIMh+u5GAAAAAAD0ZIQ7SDi1LX59vrE66pg/GFZZbYu2VLfo9jdWdBwPhsJ6d/lObalq1lOXjlem266y2lbN3lCpj1dXKD/VobPHFaogxSFXnLepBgAAAADg+yDcQcIJhMJ7HXdYTbrvw7VRx1aVN2pHbZuavUGd+dAXqmz8evbPE59v0d2nDdMpI/LktJnlDwZV0eBVfWtAdotRaUlWpTitUZ8X2BcVjW2qbfYrGA4r1WlRttsuo7HnzCCrbvKqptknfzCkFKdV2W6bTD1gty8AAAAAkQh3kHA8drOK0pwqrWmJOm4zm1TV5Iv5+CafX3//eF1EsLPbr19frkkl6fIEQnp9cZn+NmOdmrwBSdKE3mn60xnDVZye1PH9oVBYzb6ALCaj7Gwhje8oEAxpxY563fTCEm2pbr+OM1023XXqUE3pm6EkW3zfmsPhsNbvatINLyzWmp2NkiSPw6zbTxisY4bkKNnB7DYAAACgJ+EjWCScLI9dd/5oqKK1yDl9dL4cVpOse5ldkOq06pN1lVHHQmFpY2WjZqzaqf/3zqqOYEeS5m2u0QWPzdPO+jaFw2Ftq2nRQ59t1MVPzNdNLyzWl5urVdscO1QCdtte26pzHp7bEexIUmWTV1c+s1DrK5riWFm7srpWnfXwFx3BjiQ1tAb081eWadHW2jhWBgAAACAawh0kpLHFqXrt6sma0DtNNrNRRWlO3X3aMN123CDleOw6Y0x+1Me5bWaZTUaF97KyK8Vp1X0fros6tq2mVVuqm7W5qlkn/3O27v1grRZurdX7K3fprIfm6tFZm1Xf2h7wtHgDKq1u1qLSWq0qb9CuhrYf/HMj8YVCYb2+uExt/lCnsXBYuv+jdWps88ehsq99sbFadS3Ra7j3/TWqbuo86w0AAABA/LAsCwnJaTNrVFGqHrpwjFr9QZmNRmW6bR3jNxzZT5uqmjV3U03HsWSHRf+5dLxSnVYNzHFHzErYU5LVrIooS7Z2a/EF9Md3N6k2ys3vvz7doB+NylMgGNYjszbp0VmbO3oEFaQ69PCFYzUo192xM1erL6CGtoBMRoMyXLZOz4cDjzcQ0qLS2LNfVu1oUIsvKHccG3vP31ITc2ztrkZ5A52DKQAAAADxQ7iDhJbitColyvGcZIf+dd5o7Wxo07qdjcp029Q706VcT3vD2jt/NFRnPzxXwW80Z25vpmySy2aOWJK1p2yPXR+vqYhZ06ryBjW0+vXgZ5sijm+vbdU5j3yh926YpmyPXaU1Lfr3pxs1c12lkh0WXT6tRIcNzFSW2/59XwYkEKvJoL5ZLs1aXxV1vCDVKZs5vpMqB+Z4Yo4VpDpkNvWcps8AAAAAWJaFA1i6y6Yheck6dXSBpvbLVH6Ko2MnoqH5yXrruik6YmCmPHazemck6d7Th+n2EwcrN9muiyf3ivqcbptZdotpr8u6cpPt+sf/NkQda2gNaMWOem2sbNYJ/5itVxZuV0WjV+srmvTzV5fpV68tV9VXS15qmn1aXd6g5+eV6r3l5dpW0yJfIPiDXhPEn8lk1LnjixRrU6ybjuoX913ZjhyUFTNguuGIfgSQAAAAQA/DzB0clOwWk4bkJevv54xSszcgs9GojD2Wdf14crG2VDfrnWXlHccyXFY9fvE4pTutmlSSpi82RV+6kuK0Rt2Jq0PYoD++u1qt/s5BzUerK7StpkWhcFi/fn2FZqza1TFmNRn17wtGa2rfjI6duaqbvGryti/rSnNa5YzzLkv4bgpTHXrggjG6+cUlava1XwcWk0G3Hj1AwwuS41ydlJti11OXjteVTy9UfWv78kOjQbpsam8dMTArztUBAAAA+CbuBOOsrsWnNn9IDquJ7YXjwG23RO1tkuVu35HrpqP6a2t1s1KcFuUlO5T91bKu3508RKf+a06ngOassQVyWkzK9tjU0BrQSSPyNDTfo2ZvQO8sK9fKHQ0qSHNo5vrou3VJ0pqdDZq7sToi2JEkXzCkK59eqI9vPlTZHpuWl9Xrt2+u1JqdjTIbDTpheK5+dswAFaQ6Ix4XCIZkMBhkijVVBN3OYTXr8IGZ+uCnh2hHXat8wbCK0pzKcFnltMb/bdlqMmlcrzS9d+M0lde3qsUbVOFX9bni2AsIAAAAQHTxv4s4SNW3+rV8e73+OmOdSmua1TfLpZunD9DAXLc83Dz1CClOq1KcVvXNcnUa65vp0ns3TtNjszdp1voqpSVZdeWhfTSmKFXpLqt+f8oQOS1mvTC/VP/38QYlOy06Y3SBLp9WoiSrWWajQf5g9LVdfTJcuuqDRVHHgqGwPt9QpSF5Hp3z8FztbhkUCIX15pIdWlxapxevnKjcZIfK61u1cGut3lyyQx67RRdMLFKv9CSlJsV3yQ/aWU0mFaQ6O4VxPYXJaFBeikN5KY54lwIAAADgWxDuxIHXH9Qbi8v0u7dWdhyraqrRWQ99ob+eNUInj8iT2UQ7pJ7MbDKqV0aSfnPiENW3+mQxGSP6pBSmOHXaA3M6dhWqbPLqnvfXaPqgLE3tm6GTRuTptUVlUZ873W1TTbMv5rlTkyy6693VCkXJhkprWrRye73CYenCx+ZpY2Vzx9iri7brJ1N769oj+irVaZXXH1RFk1dVjV5ZTEalu6zK8dg7dvICAAAAACQGwp04qGjy6o/vro46dsdbKzWxJJ1PyxOE1WxU5jeay9a3+vT//rsq6nbRM1ZX6Ib6Vt10VH99sbFa5fVtEePXHt5XSVaThuR5tHJHQ9Rz9s5wacHW2Ftpb69r1ZdbayOCnd0enb1Zp4zMk0HSKwu3688frO2oM8tt07/PH62RhSkd4WKLN6D6Nr8MkjJcNkJHAAAAAOiBuFOLg8oGb9Qbf0lqaAuoumkvzXjR4zW2BjQ3RrNlqb1pclGaU69cPVn3nDZMh/TL0Kkj8/X6NZN1+bTeykl26PYTBkV9bEGqQ06rSWl72U1pUK5HL87fFnP8k7WVWrC1Vnf+d3XEdVjR6NX5j85TWV2rgqGwNlU26ZevL9dR932mE/9vtv7+8XqV17d+h1cAAAAAANCdmLkTB9/W2NZkJHNLZAaDZDYaFIi2bkqSw9q+01V+ikPnjC/Sj0blyWw0RsyKGZafrMcvGqvfvrVS22tbZTS0b0/9mxOHKD/FoUun9tafP1gb9dyZbpvaouzEtVvfLJf++uG6qGPeQEgfrdqlIwZl6eR/fq4mb0CS1OwL6v/+t0Efrtqppy6ZoJxku6oavdpc1az3VpTLaTXphOF5yktx0Bi8i4TDYe1saFNNk0+BUFjpLquy3DZZzaZ4l9ZhV0Obqpu88gXDSk+yKtNt69jJDQAAAED3IdyJg0y3TSlOi+pa/J3G8pLtSqfhbUJLdVp1wvBcvblkR9TxI7+xlbTd0vmvoctu0RGDsjU0P1kNbQFZTAalJVk7dvY6c0yBvthYrdkbqjoeYzRI9505QmlOq44alK3/Li/v9LySVJKRpE1VTTHrNxoN+r+PN3QEO3tau7NJy7bXyWBI0S0vLY04/z8/2ahrD++ry6f2VkqSVYFgSBWNXtU0+2Q0SOkum7I99k7Pic58waCWlNbp2ucWq7KxfSaf02rSb04crBOG5coT5wAtFAprVXmDrnpmobbXts/mspmNuv6IvjpvQrHSeA8DAAAAuhXhThxkuW36v3NH6ZIn5kfM7rCZjfrHuaOUncwNcCJz2sy65egBmrepRjsbInvq3DK9//cKOLI8dmV5oh+//5yR2lHbqjmbqpXisGhiSbqyPDY5rWbdPL2/Pl1boWZf5AyescWpctnN6pPpitnTZ0hesu7/aH3MmhaW1mpnQ1tEsLPbvz7ZoKMHZ8tkMujTtZX6zZsrOkLM/BSH/nHOSA0vSJHF3D5Lqc0fVG2LTwYZlO6yykJPH0lSWW2rLnj0S/mCXy+ba/EF9cvXlqtXepIm9UmPY3XSjrpWnfvwXDXuEQB6AyH95cN1Kkxz6pSR+XGsDgAAADj4EO7Egdlk1Pheafrgp4folQXbtLq8USMKU3TqqHzl00j5gFCU5tSr10zWrPWVen/FTmW6bbpwQrGK0p1dNusiw2VThsum4YUpncZ6ZSTpneun6l+fbtTHq3cpyWbWRZN76eThecpOtuvWowfokifnd3qc3WJUptsqp9Wk+tbOM8skaXRRqu6O0RBckl5fXKaTRuTq+ucXRxwvq2vVeY/O0wc3HaLidKdKa1r00Geb9O6KclmMRp05tkAXTCzu1EzcYDAoKytyttOBLBwO67VFZRHBzp7+OmOtHskdG7E7W3ebs6k6ItjZ030frtOkPunKchNSAwAAAN2FcCdObBaT+mS69LNjBsoXDMlmNsbcgjoUCsv4LX160PPkpzh0zrginToyXyaTQeYYvZT2x5+vyWhQ70yX/t+PhujWo/vLaDAow2XrOM+oohT9/uQhuue9NWr9qj9PXrJd/zxvtPJTHLpwYrH+FKWnjyT1SneqsS36jb0k9ct26W8zYvf0eW3xdp0xukA/+tfnqt1jaeK/P92od5eX6/nLJyo3xdHe06e6WW8tKZNRSXKUN6koPemAX/LjC4S0vKw+5vjGyua99lTqDsu21cUcK61pkT8Yvd8UAAAAgP2DcCfOjEaD7MbODUgDwZDK6lr1/oqdWrKtTqOKUnTMkBzlpzjYjjrB2GI0mC2vb9Xi0jq9u7xcmW6bzhxTqIJUR5f2U3FYzHIkd/5rnuK06tzxhTpyUJaqm3wymwzKSLJ1LAk8bXSB3l9RrmVlkUu3Lp3SSxkumw7pn6nXF5dFPefgXM9el3UZJP1n7taIYGe3LdUtmrOxWtP6Z+iXry7Xx2sqOsaemrtN54wr1M+OGaB0l02+YFCVDV5VNnplMBiU4bYp253427VbzUYNzfPo07WVUcdLMpPi3rR4WEGyNC/6WGGaQxYTYTQAAADQnQh3eqBwOKyl2+p03qPzOraqfm/FTv11xjo9f/lEjSpKjXOF+KHK6lp13iNztbW6pePYE59v0S+PG6hzJxTJY9//DXOtZpMKUp0qSHV2GstJtuuRi8ZpdXmDXlu0XS67ReeMLVRhmlOpSVZdd0Rfvb9iZ8esn90KUh3KcttUnO7saAT8TSMKUvTbt1bGrOvLLdUyGBQR7Oz2wvxtOmlEnkYUGPXxmgr9+vUVHY2fPQ6z7jtzpKb0TZfT2v7W1uT1q74lIBmkZIdZLlvP38nLYDDo9DEFenjm5qhLs24+qn9cl2RJ0uQ+GXLZzFGbbt88vT9LsgAAAIBultgfcR+gdja06epnF3UEO7u1+UO69tlF2lXfFuORSARt/qD+9b8NEcHObne/t6bH/Plme+w6bECW/n7OKP3x1GEaXpii1K+WRBWnOfXmdVN05KAsGQ3tzcAvmFCkF66YqPxUp356VP+oz2kyGtQrI0mOvcw8GVecpsc/3xxz/MX5pdpQ0aQbX1gSES40tAZ05dMLVFrTonA4rI2VTbr5xaWa9qf/adq9/9OtLy3TpsomhcORS4ZavAE1x+gfEy/5KQ7957LxynTZOo45rSbddepQDcmP0mG7m+WlOPT8FRMjeoTZzEbdPL2/Du2fGcfKAAAAgIMTM3d6oOomnypizHrYUd+mqmYvO2olsJpmn15dtD3m+Icrd6pftrsbK9q7aL2gzCaj+me7df/ZI9XYFpDBIKUlWWUzt4c2Q/I8uuPkwbr73TUdIaXHYdY/zhmlglSHLprcS7e/sSLq+QbletS0l54+g/OS9e9PN0YdC4WlJ2dv1tWH99Wp//5cDa1fP8/7K3dq7uZqvX3dVBWmObWroU0Lt9bq2XlbJUnnji/SuF5pPWK7dqvZpPG90vTW9VNU3eRTIBRShsumLLdNVnN8l2RJ7SHdsPxkvXbNZFU3+eQNBJXhsinTbYv7kjEAAADgYES40wP5Y+ySs1uAZqUJLRwOd5qVtadYuxD1RG67Re4oS8hSnFadM65IRw3MVnlDmywmo7Lc7eGE2WTU9MHZenNJmeZvqY143Gmj8pWTYtf0wdl6ZFb02TvDC5L10vxtMWty2s16Yf62iGBnt7oWv15btF1njyvUdc8t1oKtX5//8w3VGlmYogcvGK2cZIca2/yqavJp4ZYaBcPS2F6pynTZurQn0t4YjQblJjuUm9xzd9DL9th7RBgGAAAAHOwId3qgDJdNNrMxagDgsJiU7jqwdws60LnsZk0sSdPcTTVRx48alN3NFe0fdotJBWlOFaR17umT7bHrX+eN1pqdjXppwTbZzEadO75IvTOSlJ5k04UTi/XSgu2dtmPPTbard3qSBuS4tamqOep5Rxem6p+fbIhZ19pdjZqzsToi2NltybY6zd5QraMGZenZeaX6y4drtecqrqsOLdEVh/Tp2LFrV0Obalt8CoelVKdF2R57zF3vAAAAAGB/IdzpgbLcNv3smAG687+rO43ddtxAZbltUR6FRJHssOo3Jw7Wqf+a06lh7qSSNBWnJ8Wpsu6V5bEry2PX1L4ZMhgil38Vpjn1xrVTdP9H6/Te8p0yGQ06dVS+rj6sj3JTHLr28L56f+VOfaN9jkxGg4bme5S8l9k1k0rS9ey80pjjby4uU3GaU3+OshX8g59t0pQ+GZrQJ03LttXrpy8t0baa1vafx23Tn84Yrgm90+T4qqFzmz+o2hafFJY8DouSbLzlAgAAAOh63Gn0QDaLSWeMKVCvjCT99cN12lzVrJLMJN16zACNKkzp6LkRCIZU0ehVmz8ou8XUseQFPV+/bJfevn6K7vtwnWZvqFKyw6JLpvTSKSPzlblHeFfR2KZmb0Bmo1FpSdYDMhwwGjvPdDEYDOqdkaS7Tx2mXxwzQNU1NSrJz1KSvX3GTO+MJD1w/hjd9toy1X21pXqGy6r7zhyhnGSHrjikRPM2R58ZNbIoRa8uir6NuySN6ZWqx2Zvijn+0MxNyktx6LxH5kWEcxWNXl365Hy9c/00Dc7zaFtNix78dKNeXbxdwVBYRw/O0S1H91ev9KSIn7nFF1Ao1D6j6/vwBYKqaPRqU2WzWv1B9c92K8NljbpMLh4CwZB2NXi1tbpZDW0B9c1yKdNlVXKcd/oCAAAADkQH3p3iASLFadVRg7I1qjBFvmBINrNRaUlf3/RXNXr10oJtenDmRjW0BuSxm3X5tBKdM75QmWxD3ONZTSYNyPHovrNGqMkbkNFgUKbL1nHT3+wNaFFprX735kptqmqWyWjQsUNydNtxA1UYZZnTgcppM8tiDGv+zIUaWHR8x/Ekm1lHDcrSuzdMU3WTTwaDlJ5kVbbHLqPRoBGFKTpzTIFeXhjZuPq88YUqTHXqjDEFWrKtLuo5xxSn6tO1lTFr6pXu1PNflkbdpjwUlv75yXr98rhBOvuhL7Rjj53P/ru8XDPXVeqdG6aqOD1JlY1tWrq9Xk/N2SJ/MKTTRxdoat8M5aZ8e4+dVl9AM9dX6cYXFqvN316HwSBdPrVEVx1WEvFeEQ++YFCLttbp8qcWRPSQOnVUnn51/CDeowAAAIAuRrjTw6W7Ot+ktXgDeuCzjXps9tcNZxvaArpvxjpVNHl127EDD8gZHgeiWA2JV+yo14WPfdnxdTAU1n+Xl2t5Wb1evHJij26y213MJqPyUhzKixKGZLhs+tXxg3TxlF76cOUuGQzS0YNzlJtsV4rTqiMHZumJzCRtrIzs29M7I0kDs92a0icjZvgztjhVz+xlWVcgGNanaysigp3dGr0BPfH5Zl19WF/98rXl+t+aio6xuZtq1CfTpWcuG6/clPaGzhWNXs1aX6lWX1DT+mUqL8WutCSbyuradPUzCxXaY1laOCw9PGuTRhQm64Thed/y6u1fO+u9uujxLzv1DXt98Q4Nyk3WT6b2jjpjCwAAAMC+IQFIQFVNXj01Z0vUsefmleonU3sT7iSwmmaf7nync78lSSqtadHKsgbCne8gNcmq1CSrhuQldxrLTXHomcsm6J3l5Xpp/jaFJZ05pkAnjchTpseus8YV6Mk5m9XsC0Y8zmY2alzvNM3ZFL0hsyRN6J2m91bsjFnXkm11WrWjISLY2W1jZZNeX1ym8yYU6eUF23XXu19fB/e+v1YnDMvRXacO08sLt0UEO3v6x8cbNLEkPWow3F1mr6+MuSPcQ59t1MkjcpXDNQwAAAB0GRq0JKCaFr8CMe7sgqGwapp93VwRulKbP6jlZfUxx2etj71kCN9dbopDl03preevmKgXrpioy6eVdMwCKkh16tWrJ2tMcWrH9w/LT9YrV09WtseuS6b0VqxNsab0y9hrQ+dpfTP0/JexZ/68saRMpdUtEcHObv9dvlOryxu0qTL6TmGSVF7fKv9XS8YaWv3aWt2sjZVNqmzsPJNof4m1k5kkVTf7Yr5/AQAAANg3TO9IQA7L3jM5h8XUTZVgfzAaDEpxWjoaBX9TfiozHrqK0WhQRpQZLiajQQNzPXr0x2M7tmP3OMwdvWyK0pz6xzmj9PNXlqnV3z67x2oy6tcnDFJ+skMXT+4Vc/bOlL4ZWrGjMWZNY4tT9exewp/n5pVqQu80zVi1K+r44DyPkmxmba5q0m/fXKlZ66skSSUZSbrzR0M1sihFzq928wqGwqpq8ioUDivZbpGzi2b8jeuVpkdnbY461iczSTYznysAAAAAXYlwJwGlu2zqn+3Sul1Nncb6ZCYp3fX1bjQNrX61+oOym43sUpMgMl1WXTalt+6bsa7TmNEgTR+c0/F1mz+o+la/TAaDMtzxbaJ7INq9tOubkmxmHTMkW6OKDtH22laFQmEVpjmV4bbJYTGpX7ZLF0ws1jNzt0Y87rABmeqX7dbZ4wr1ydrOy7IkaXKfdL26aEfMmvzBkMb2SpPHblZDW6DT+E+mlai22aezHpyryiZvx/FNVc06/7F5euOaKRpRmKKd9W16ZeE2PT13q1q8QR0+MFM3HtlfxenOiF33Wn1BBUIhuWzmiO3q92ZYfrKyPTbtavB2GrvtOBoqAwAAAF2NcCcBZbhsevCCMTr3kbkRN0+ZbpseunCMMt12Nbb5tXZno/46Y53WVzSpd4ZTNx3VX0Pykve6ZATxZzIZdfa4Qi3YWqvP1n29BMtsNOif541STrJdwVBYpTUtevizjfrf2gq5bBZdOqWXpg/OVpaHG+fuYDWbVJDqVEFq593L0pJsumV6f50zrlBvLCmTPxDSiSPy1Ds9Sekum0YVpWhkYUqnps05HrvG905TY1swZvgzoXe63li8XfefM0r3fbhWK3c0dDz2p9P7a/m2OlU3+SKCnd3CYelPH6zRn04foaufWaBlZQ0dY28tLdeMVRV6+/op6pvlVnWTV6vLG/XY55vU2BrQCcNzdfSQHOV/h9288lIceuGKSbrt1aWat7m9N1F6klW/On6QxvdO/ZZHAwAAAPi+CHcSVEmmS29cM0UbKpu0fleT+ma51C/LpdwUhwLBkD5eXaGbXlzS8f2VjV6d98g8/b9ThuissYWysXSrR8vy2PXXs0aovL5N87fUKDXJqtGFKcry2GW3mLSxokmn/OtzNX21zfQuefXrN1bovRU79bezRyqTWTxxt3vWz9D8zg2dsz12PXjBGH28Zpee/mKr/MGQTh6RpzPGFCjL49Ah/TOV5bapojEyoLGajDpqcLbeWrpDv3ptuS6cVKwbj+ynYDishtaAnp67RYf2y9Rn66IHQ5JUVtuqdbsaIoKd3Vr9Qf11xjrdcdIQ/eWDtXppj63kF2yt1UOfbdLLV01SYZpTTW1+7Wzw6v0V5apu9umoQdnql+XqCBd7ZyTp4QvHqq6lvceO02pWlscuE7tkAQAAAF2OcCeB5aY4lJvi0LR+mRHHdzV69ds3V0R9zF3vrtbhA7OizjZAz5LusindZesUDjS1+fWXD9d2BDt7mr2hSpuqmgh3EkBOsl3nTyjWcUNzFApJqU6LTF8th8pPdejlqybpnvfW6IOVOxUKS6OLU3THSUOU7bHpxOG5+r//rdefP1jb6XnvPW243lkWe1nXlL4ZemdZeczxuRurtb22NSLY2W1nQ5se+HSjfnbsAL2zdId+8+bKjrEnPt+ioXkePXrRWOUkO+QPhNToDWhLdYvqWv0alOuRvdUfdZkbAAAAgB+GcOcAVNPkjdqLQ5La/CFVNHgJdxJYY1tAH62O3kxXkt5eukMTeqd3Y0X4IXY3af6m4vQk/fmM4frV8YMUVlhuu0WpX/XNyk9x6LmfTNR1zy3Sjvr2XbBcNrNuP2GQCtIcOm10gR6cuUnhcPsMGqvJqC3VzfIGQjp6cLY+XRt7x7VJfdL11tLY4dBbS8v048nFEcHObit2NOjJOVt045F9tai0Xpf/Z4Fa9thO/oRhubrj5MEdPXcqGtvU0OpXMBRWktWsdJdVDiu/lgAAAIDvi39FH4CM37LsYc9lEYFgSG3+kGwWgywmlmolCovJKH8wGHXM/o0ld81ev0xGg+wW/ronGpfdIpe9c48ss8mo0cWpev2aKapu8SoQDCs9yapMj01Wk0kWo1FPXzpe/mBYa3c1qs0f1JA8T8f/prtsemLOlqjnPHxAtpZtr4tZ0/D8FH0QYycwSXpmbqnOGluoS56YL99XW7Lv9t/l5Rqa79Hl00q0taZZO2rbtL6iSXWtPg3O9chlM2tQbnt9ktTY5ldNs0/eQEhuu1nZbvu3vr8BAAAAByPu9g5A6Uk25Xjs2tnQ1mksxWlRltsmXyCo7bWteu7LUi3bXq9+mS79eHIvFaY5OrZJRs+U7rLp9NH5enpu9O2yTx2ZL0naUdeq/62p0DvLdshlM+uSKb01MMfdceOMxJedbFd2cucG2mFJ5fVt+sWryxQKf338+GE5mliSroJUh646tEQPfrYp4nEDclya2i9dvTKc+s83dvra7ZABmSqva41ZU1GaU7PXV3UKdnZ7eOYmnTg8T4tL6/Wr15ZHfN+4Xqm64+QhSkuyanttq3735gp9sq5S4bCU4bLqtuMG6ahBWUr5agaTPxhUZaNPwVBYTquJaxsAAAAHLe7iD0DZHpv+ce5IXfDolxE3TmajQf84Z5Qy3TYt3FqrCx/7evzLzTV6fn6pHrxgjA4fkCWL2Rjr6RFnVrNRVx3aR5+srdT22sib7Eun9FJeqkPba1t09kNzVbbHTfhHqyt05pgC/fL4gTGXAuHAUFbbqp+9sqzT8XeX79TkPhm6YGKxrjqkj44flqsXvixVfatfPxqZr2EFKcpJtstsMmr6oCzNWB3ZmDnZYdHxQ3O1taZZT30RPfyZ3DddpTUtMWtz2y1qaPPrtleXKbBn8iRp/pZavbRgm34ytUTnPzov4nmqmny69eWl+vf5o3X8sFztrG/TE59v1jNzt6rZF9SgXLd+e+JgDS9IUZLt619tlY3ejq3c3VFmQQEAAAAHAsKdA5DBYNDIohR98NND9OrCbVq6vV6Dcj06e2yhClIdqm7y6aYXl3T6ZD0Ulm55aanev+kQ5ad++3bHiJ/8VKdeunKS5myo0tvLypXsMOvHk3qpJNMlp8Wk+2esiwh2dnt54XadP6GIcOcA98qizs2Qd3to5kYdMyRHmW6bUpKsGl6QolAoHLHcKcNl012nDtNJI2r06OxNamoL6Ogh2TpvQrEKUx2yW4wanOvWqvLGiOc2Gw06Y3SBttW26NHZm6Oe/6QRuZqzsbpTsLPbp2sqdfiArJgB0d3vrdbwgmT99IUlmr+1tuP46vJGnfvIPD1z2XhN7ZepysY2fbK2Ug99tlGVTV6N75Wmm6cPUElmUsTSxcY2v3yBkNx2i6yE2gAAAEhQhDsHKKvJpN4ZSbp5+gB5g0FZTaaOXjs1Lc0qr++8ZEuSGr0B7Wpo6xTumM1cKj1NXopDZ4wt1Ikj8mQyGmT5aqel8vpWvbaoLObjXl1UppFFqd1VJrpZKBTW9trYM2eqm3wKhCKD3Wh9bLI8dp08Mk+H9M9QIBRWssPc0Zcry2PXYxeP0xOzN+vZeaVq9gU1oXeabj9hsHpnJCnZYVFesr2j2fOejh+Wq7eWxG7YnO6yaXFpXczx2ma/yuvbIoKdPf3urVV6+rLxuue91Xpr6de7gn20ukKfrK3US1dO1JjiNNU2+7SyvEEPfLpBFQ1eTeyTrkun9FJhqlNm09chTzAs5Rb2Ujh6FgUAAAD0CNyxH+CMRoMcxsg/5tC33KUEvxqvaGjT9rpWbaxoVEavEaps8isvlWUNPc03GyhLijkrQlLHjK26Fp+qmrxatr1eSV81ss1y26I+HxKH0WjQkQOz9e7y6E2PxxSnKul79NXa3d/mm3KTHbr1mAG6ZEpvhSQlWU0d35ub4tDzV0zU7W+s0Kz1VZKkLLdNt584WEWpTk3uk66HZm6K+rzJDrOK0mLv5jc0z6MFW2pijm+raVF1ky8i2NktGArrN2+s1OMXj9XTX5TqX59u6BhbX9Gkl+Zv06tXT9bQ/GQ1tPm1raZFT87ZorLaVk2r36oTRuSpMNUhg4GmzgAAAOhZCHcOQqlOq9KSrKpp9nUas5mNyk2xa1tNiy55cr42VDR1jGV7bHrmsgnql+3uznLxPSU7LDpuaI5eWxx99s5po/JV1ejVn95fo5cWfr18x2oy6m9nj9ThAzNpqp3gJpakK9tj064Gb8Rxo0H6+TED5XF0TUhrNZuUmxJ9CWdxepL+dd5o1TT75AuG5LGble2xy2AwaECOW30yk7SxsrnT4y6e3L680GY2yhvo3JT56CHZe+2dMyDbrfl7CX/W7GxQfWsgItjZzRsI6devL9ejF43Vh6t26devr+gYm7OxWg98tlEvXzVZA3LcavUHtaOuVW8v3aHNVc2a1i9Tk0rSlJ8aO5gCAAAA9hcaDByEsj123X3aMEX78Pm3Jw2Ww2zSz19ZGhHsSNKuBq8ueXK+dkXZhQs9h9Nq1g1H9lNylBv4Q/plqH+2Wx+vqYgIdqT2GT3XPb9I5XX8+Sa6/FSHXrpyko4alNXx97x/tksvXDFRfbNd3VaHx2FRr4wk9c92Kyf56xkvOckO/eeyCTplRJ7MXy0JK0pz6rGLxmp0capyk+16+rLxctkiQ8YjB2bpxOF5Gt87reNx33RI/wwl2WLPPuudkaRFpdGXdEnS0u31qm8N6Ldvruw01tAW0K9eX66aZq9mravU9L9+pvs/Wq83l+zQrS8v1Sn/+lybKtvfN32BoEqrm/Xi/FLd+94afbx61153GQMAAAB+CD6ePwiZjAZN7Zuht66dqv/733qtKm9Q73SnbjiyvwbkuFXV5NUXm6J/8r29tlUVDW3K9rRvv9ziDajZF5DdYmInmh6kON2pt6+foqe/2KoPVu6Sy2bWpVN66ZD+mQqEQnogyqwFSQqHpdcXl+nWYwZIkgLBkGpb/DIZRRPmBFOcnqS/nT1StS1+BUMhuW0WZbh7zp9hfopDd582TLceM0D+YPtuVlmer7d1H12Uqg9umqaNlc2qafFpUI5bmW670pKsavMH9a/zR+uaZxcpuMcSxH7ZLp0/sVi+QEhGgxRtdeKEkrSO/mPRFKQ6tKKsLuJ597Rwa63qWvy6/vnFnZ6/qsmnX762XA9eMFprdzXpose//Hr20WdSXrJdz18xUcXpSQqFwiqvb9Oq8nqV1rRqSJ5HvTOSOt5bAQAAgO+DcOcglWQza1hBsv561gi1+INy7BHObNvLNsaSVNfiV6s/qC1VzfrXJxu0vKxehakOXXdEPw3K9USdMYLuZTAYVJSWpJ8dM0BXHNJHJqNBaUnt/VDK61s7LdfZ0+aqZoVCYZXVteqF+dv03vJyOawmXTSplw4dkMnNZwJx2y09OnR12sxy2qL/GjKbjMpPdUZd5mS3mHRo/0x9fPOh+mx9pSrq2zS5b4b6ZrmU7bGrxRvQnT8aql/tsaxKkjJdNl0xrY/C4bAMBkVtkjysIFn+YOyeVZkum9btaoy6ZEyS5m2uUW2LXz95akGn79lR36Zfvb5c/z5/jLZWN+uCR+epoS3QMd47I0n/uXS8Cr/qOVRe16qtNS0qq21Vn6wk5ac4ldmDAjoAAAD0HIQ7BzmX3SLXN27+PA5LzH4XUvuskPmba3TxE192fHK9tbpFszdU67cnDdY54wrp2dJDWM0mZbojl6g4rSYNL0jWvM3RZ2cdPiBTZXWtOu3fc1TZ9HUI9PNXl2liSZr+cc6oiBkWSExt/qAqGr1avr1OTd6ARhWmKtNtU2pS9AbK3c0fCGlXY5tWlzeoqtGn4YXJykm2K/2rGWR2i0m9MpLUKyOp02OdNrNOGpGn0cWpeuHLbdpR16ojBmVpWt9M5ac61Njm181H9dd9M9ZFPs5q0g1H9NvrlugDclxq8QVjjnscZpXWtKjJG4g6/vmGatU0e3XxE/Mjgh2pPVhtD39Ga0ddmy54bJ4qG7/+Ozgo161HfzyuYzfDXQ1tHWFtQapD2R67MlyEPwAAAAcj7sDRSabbpkun9tYDn27sNHb04GwZDQb9/JVlUZc83P3uah01KFtFae2Xli8QVIsvKJvFKIeFy60nSHZYddtxA3XaA3M6zVxIT7Jqar8M/fvTjRHBzm5zN9Vozc7GjnAnHA6roS0go0E9eoYIIrX4AvpkTaVuenFxxCyVU0bk6fYTB8d9dogvGNSCLbW67KkFavV/HaRM65uhv5w14jvNHnPbLRqYY9HvThqsYCgcsb25227RhZOKNbFPuh76bJMqGts0uU+6zh1fpIJUp5q9AV02tbcem7054jnNRoNuOqp/zB3EJKlPpqtTaLMnp9Wk8rq2qA3tJWnW+ipVNfl0yRNfRgQ7krS6vFG/fmO5/u+cUapsag+ISveYaTmyMFn/Pn+M8r5qcl3Z6FVlY5uqmnzK9tiU4bIpnfAHAADggMTdNjqxW0y6bGpvOSwmPTxzk5q8AdnMRp01tlDXHdFXtS0+7YzRVNkfDGtLVbNykm3aXtOqp+Zs0aLSOhWlOXXFISUqyUwiBOgBBmS79eTF43T7myu0raa9yevEkjTd9aNhkqR3lnXeRnq3F+eXamrfDO1saNOMVbv0+uIy2cxGXTKlt0YXpyjLzayenq68rk3XP7+oU0D75tIdGtMrVRdOLI7rdt8769ubt39z9uCsDVV6fPZm3XJ0f1nNsZsm78lgMMhs6vyzpDitGtcrTUPyPPIFQkqymWX5KgDyOCy65vA+mtA7Tf/6ZIN2NXg1pjhVNxzZV73Sk9TmD+rMMQV6+RtNySXp+sP7diyriqYg1aG6Vn/McavJqKomr3bUR3+P/WxdpaqbfbrsqQURwY4kLdlWr1+/vlz/OGeUalt8+sl/Fmjdrq8b448tTtU/zh3VEf5UN3lV1eRVbbNf6S6r0l1WemsBAAAkKMIdRJXhsunqw/ro9NEFavb55WtpUu/cDCXZrapriX1jIkkum0nLtzfo3IfnyhdsvzlbXlav/y4v192nDtOPRufLYfluN2bYP5w2sw4dkKVXr5qshraAzEaDUpwWpTit2tXQJtNebuytZqPK61t1ziNzO4Ihqb3XyGEDMvXnM4Yrk4CnR3tr6Y6oM+8k6aHPNunYITlxXXo3f3NNzGWhz8zdqosm9+oIKH4op9WsaBNx0pNsOnpIjsYUpWjr9jL1Ky6Q29kefNgsJv3iuIEaXZyqf3+6QRUNXg3NT9YvjxuoQTke+UMhnTg8N2pIevWhfdQ3K/aOZdkem2pjzOqRJKPBoNoWnzZXdd5GXpI+/Sr8ufrZhRHBjiQt2FqrX30V/jS0+XXtc4u0dFt9x/iE3mn629kjO17bmmafqpu8qmv1K9VpVXqStccs2wMAAEAkwh3EZDEZlZ/qkN9v1rtzP9GAguMlSalJFhWnO7W1unPjZbvFqHSXTRc/Mb8j2NnT795aqSn90lWUlqRAsL2nRrM3KLvFpIwka8zmqtg/sjx2ZXkij6UlWXXm2AL9O8qyPEm6fGqJnvtyW0Sws9unayu1ZmdjR7hT0dimhtb2ZVupTm4Me4qte2maXtnoVTBap+FutL02dn3NvqD8Ud5b9heP3aRt61ZoWN+iiOMZLpvOHV+kIwdlKRgKy2ExRSzX+t1JgzUox6NHZm9SXYtfvTOS9MvjBmpCSZpCYemoQVn6aHVFp/NdMqW3eqV37iO0W4rTsteAPRyWGtv8Wl3eGHX807WVqm326aaXlkQEO1J7QPvL15brH+eOVLM3qJteWKwvt3y9bfykPum678wRHeFPbYtP1U0+1bf6lOywKi3J2tG4HQAAAN2LO2l8b1luu/561kid98jcTp+u33vacLX5gzE/VfYFQ9pU2awkq1mvLNyuf32yoWPmyEkjcvXzYwcqN7lrPpHHvrGYjLpgYrHeWVbeadnH8cNy5HJY9GqU5Si7PTevVKOKUrR8e71++dpybfkqBBxekKw/nzFc/bLcMu5lK2rsf4f1z9Abi8uijo0oTI77zLpxvdJijvVKd8a9vj3FWoaY6bbrqkNLdNqYfAWCYdktpoheRn88dZhKMjfrmblb1eILKtNt083T++uYITkySDqsf6Y+XVfZ6XkvmFDU0VA5GrfNrPq9LPuSpEZvQItL66KOfbauUnXNfv381aURwY4kfbGxWr94dZn+79xRavEFdevLSzVnY3XH+Ddn/tQ2+1Td7FN9i08eh4VlXwAAAPsR4Q72yfD8ZL1/0zQ9P69UC0vr1DvDqUunlKg43amy2s4zOvaUbDfrpQXbdO/7azuOBUJhvb54h8pq2/TABaM7mn42tfnV7AvKajIy66Mb5aU49OIVE/Xp2kq9vqRMDqtJl0zupaF5yQqGwwor9swOm9mordUtuuCxLxXcY+3Psu31OvPBL/TODdNU9FVPEn8wqJpmv4wGg9KTrIQ+3WRc73RluW2q+EbDXoNB+uVxg/baMLg79MlyqSQjSZuihMS/PmFwwuzWZjIZY4bVWR67bj26vy6aVCxfMCS7xaRst73j78A9pw/X3z9ap1cXlckXDMltM+uqw0p0zrgiGQwGTeuXoVnrqzo975ljC/b6+ljNxpg7ee3W5Ato3ubaqGOz1leprsWv37y5IiLYkdpn/tzy0hL9+4IxavMF9bNXlmn2hq9rHFucqr+fM7Jje/vdM39qmr1KcVi/6vtD+AMAALAvCHewTyxmo3pnuPTzYweq1R+UzWzq2D44xWlRUZqz06wPqX23mWSnVf/6JPqSny+31GhXg1dJNrM2VTbr7x+v15Jttcr22HXd4X01tjhNaS5Cnu6Qm+LQuROKdOKIXJmNRjms7bMl/MGgfjQyXw/N3BT1cZdO7a2/f7Q+ItjZraEtoHeXlevKQ0u0vbZVz87bqreXlstsMujccUU6ZVQeM7e6QX6KQy9dOUm/fWulZq2vVDjcPiPmD6cM1cAcd7zLU7bHrv9cNl5/fHe1Pli5S8FQWDkeu24/cZDG906Nd3ldxmo2dQQd35STbNdvTxqsaw7vqzZ/UA6rSdkee0fT5z+dMVz3vLtG7ywvVzAUls1s1I8n9dIVh/SW2WjU1L4ZEcHKbqeOzFP6XoJyg0Fq8cbe6l2SWv3BqMGSJH2xqUb1LX794e2Vnc6/YGutbnxhiR7+8Rh5AyH97OXI8GdEYbL+ee7ojobUtc0+VTV5VdHoVVqSVZkumzLivJMbAABAT0W4gx/EbDLKvccWw1L7J9J/PmO4zn90ngLfuMH/9QmD5A2E9vrJcUVjmxra/Dr/0XkdAcGuBq+ueHqhrjykRNcd3lduR/uOW01ev5rbgrKYjfR62E++ubuZxWTShZOK9dbSHSr/xo4+k/ukKcVh0ZJtdTGf74tNVTp+eI7OeOCLiJkj97y/Rm8sKdMTl4zrCHj8waCqm/0q6j+007bt+GF6ZSTpn+e276rkD4blcZh71E5nBalO/fmMEbrtOJ98gZBcNrOyPba47uLV3RxWswrTov+azk126I+nDdPNR/dXqy+oJJtZmW6b7F8tWfvLmcP1+7dX6f2VOxUOtwfrZ44p0E+n95fVbIw58+fEYblKTdr7jobN3zLzp9Uf1P/Wdl5SJrUHPA2tAd317qpO4c/SbfW65tmFevKS8fIFQ7r1paX6fI/ZQQOy3XrkorEdM/927/ZVVtemDJdV2R67shNkVhcAAEBXI9zBfjGyMEXv3ThNj8zapMWldSpMc+qaw/qof7ZbtS0+GQ2KuVtPbrJdVz69MOrMj4dnbdI54wplMRu1uapZf5uxTotL65Tlsenaw/tqQu80pvV3g4JUp165apLeXlquN5eWyWY26eLJvTS5T7osJqOyPfZOS352O3xAll74clvU8TU7GzV/c61OHunQ9toWPfPFVr25dIdMRoPOGhvUGWMKu2yXJLRv+e1xxL6Rr2hsU22zX75gUGlOq7I8NllM3dfvJslmVtJemqxXN3lV0+xTWyCoFEd7fbbvuEX6gWBvr09OskN/OmO4fnHsQDX7AnLZzMp02Tqa1v/pjOH67Zsr9NHqCoXDktEgnTg8T78+YZDsZqMO7Z+pz6L0/Jk+OEspzr2HPy2+bw9/ojWTlqTlZQ1qaPPrnvfWRAQ7krR2V6N+8tR8PfuTiQoEQ7rxhSX6cktNx3hxulNPXjJOvTPadyOravJqV32bNlc3K9tjV2GqQznMDAQAAAcowh3sFzaLSf2y3frDKUPV7A3IbjF13IQYjdKxQ3L07oqdnR6X6bIpFFZHE95vCoelTdXNqmj06rw9ZvZUNnl1zbOLdNGkYt1ydH95HFaFQuGvduMKyGpmN66ulp/q1OWHlOiscQUyGgwRfVquO6Kvrnx6YdTHTemXoUufnB/zeV9esE2jilJ0xoNztKvh6wDorzPW680lO/TMTyZ0zOypbvKqvtUvg6QUduPqMqFQWGt2Nur65xdpY2V735skq0m/OHagTh6ZF/eePJK0qbJJ1z+/WCt3NEhq7/V09WF9dOHEYgLer7jtlk4z73bLTXbovjNHqrrZqyZvQG6bRRkum1z29vfIe04fpt+8saIjhDEYpKMH5+j3Jw+Ww2rWkYOy9HGUgOaw/plKcVhlMCjmbLtWf3CvM/FafSF9uGpX1LF1u5rU2ObXn95fGxHsSNLW6hZd8sR8vXTlJAVCYV3z7EIt2WNHsJyvlvv1z25feljZ2Kbtta1aU96ovFS7+mW5lZtsP6hmhwEAgAMHd7rYr+wWU8cygd1cNotuP3GwdtS3RvzDO8Nl1X8uGy+b2fjNp4mQ5bLppheXRJ3Z89QXW3XhpF4KhaUPVu7Unz9Yq6omn8xGg04ckaufHzOQmR9dyGQ0RN39ZlyvNF15SIkenrWp4ybOYjLo7tOGy2Uzy2qK/Wc8sjhFLy/cHhHs7Laxslmfr6/SySPztLq8Ube9tqxjy+fhBcm657ThGpDjlonGzD/IjrpWnfPwF2po+3oGRrMvqN++tVK5KXZNH5wTx+qk8rpWnfvI3IhrxBsI6f6P1istyaoLJhTTnPs72NvMrdxkh/561khVN/nU6PXLbbcoPcna8f13/mioTIaVESHMEQOzdNepQ+WymXXskBy9FyXAn9I3XckOy15nb3oDew9/2vwhfbCq83NL7R8MNLT69ecP10b8fpGknQ1tuujxL/XGNVMUCId1+VPztWqPLeNTnBY9c9kEDcnzyGAwaFdDmzZVNnXMPh1VmKKcZLvMe3n/AgAAiBfCHcRFXopDj/54nMrrW7Whokk5yXYVpycpN9mu2ha/hhcka9n2+k6Ps5gMspiNHbMJoimtadbi0lr94tXlHccCobDeWLxDGyua9PjF45TptmtXQ5vWVzTpi43Vyku2a2q/DOV47LL1oG2WE1VaklXXHd5X54wv1PKyBtnMRg3K9bT3BDEbdf7EYv3h7VVRH3vMoBzd8MLimM/95tIyjSxK0VkPfSFvINRxfNn2ep3x4By9d+M0FacnqbbZp/KGNn28apcMBunIQdnKTbb3iFknPd3nG6sigp09/en9tRpVlKqMOM6OWberMWr4J0n/+Hi9pg/OpjF3F/i28OcvZ45QVZNXjW0Bue1mpbtsSv7q+3930hCFw9IHq3Z2BDWH9c/U3acPk9tu1kkj8vTmkh2dnndiSZqSHRaZjYZOPdt28wdDew1/vMGQZsSY+VNe36b6Vp/um7EuItiRpLoWvy56/Eu9c/1UBUJh/fjxL7V5jx3bHBaT/nPZeI0qTJHZZNSOulatLKvXnE3VKkx16oiBWcpN7vw7JBQKEzYCAID9jnAHcZPhbt/5ZFhBSsTxtCSr/nTGcJ35wBdq/Ebjzj+eOmyvsz6k9qVdv3hledSx5WUNKqtrlS8Y1o8f+1IbK5s6xsxGgx7+8RhN7Zshq9mkcDisnQ27l3UZlZ5k22v/D0RyOyxyOywd/S/2dPzQXL22cLtWfLWkZrejB2crNcnSsfNaNBN7p+vRWZsjgp3dWnxBvTR/my6Z0kv3zVin57/c1jH2lw/X6ceTinXTkf07dlyrafaqrsUvSUp2WFjO85WFW6Nvgy1JGyqb5I/y2nenVeUNMceqmnzy+uNb38Fib+FPTrK9vedP80A1tPq/Cn+sSna0/9371fGDFA5L7yzb0TGD5/ABmbrr1GFKcVh0xpgCvTB/W6fnHd87TR5H++w/XzD6n3MgGI45K0iSfMFwzPCnutmnulaf/jpjXUSwI7UvJ7v0ifn64KfTFAiGde4j81RW19ox/sd3V+uRi8ZqSp90Wc0mldW26PMN1frf2goVpjp05thC5ac4In6PhEJhtfiCspqNe33fAwAA+DbcqaJH6p/l1n9vnKb/LivXnI1VKkx16oJJxSpKcyoQDGlsr1Qt2NL5BtRsNMhiMqqyKfqn+pLU2BrQk3PWRAQ7UvvsnqueXqSPbzlUHodF/1tToT++u1qVjV6ZjAYdOyRHvzp+YMTWxb5ASPWtPllNRiUzI+Q7y0m269GLxmlxaa1eXLBNVpNRF04s1sCvZvdcOLFYv35jRdTHTuufqZ++uCTmc6+vaNLS7fURwc5u//liq6YPztakknSt2dm+rGtFWXtQMCTPo7tPG6bBuZ6OZRfhcFg1zT6FJaU5rQfNp++D85IlbY86VpTmjPuylL5ZnQPD3TwOMzfJPcTewp9sj11/PHWYbp7eXw1tfrlskTN/bp7eX+FwWK8sKlMwFJbB0N6M/c4fDW1fejexSI9/vqXT847vlaZkp0UOi0mt/uhbuofCew9/giHFbPjc6A2optmvv364NiLYkXb/Dlmo/91yqHzBkM56cG7E76JHZ2/WfWeO0HFDc2S3mLSttlVvLynTZ+urlOOx65IpvVSS6ep4DaT23zF1rQHl9+obu2AAAAAR7qCHMhoNKkpz6qpDS3TR5GJZTcaIG8q7Tx2mMx78QvWt/ojH3XXqUDmspr1+qpvusuqdpeVRx3zBkDZVNaupzR8RIARDYf13ebnWVzTqmcsmKC3Jqm21rXri882atb5KqU6rrjq0RKOL47tcJZHkJNt13LBcHT4wS0aDIeKG/MhB2Xpl0XYtLq2LeMxRg7KU5bYry2OPuTTv8IGZemTWppjnfXz2ZuWnOHTGg3PUtscMj5U7GnTmg1/ovRunqSTTpfL6Vn2wcpde+LJUoXBYp48u0Ekj8g6Knk1HDMzUPe8ZI16f3W46qp8y3fG9xofkJSvFaemYdbWnK6aVKDvO9eG7cdnNHQ2cvynLY9fvTh6iaw7vq8a2gJJsJqUn2TrCoqsP6yNJenZeqbyBkIwGafrgbN1x0hClu6y64pDe+vvHGzo97+5lXx67OebSQyl2M2ipPRz6JMpOYlJ776fKJq/u+3Bdpw8ZwmHpZ68s0/heqWr1h3T6g3PU0Pp1DW8t3aFfHDtAF0wslsNiUmlNi574fLM+31CttCSrrrbWaGRhSsQMw6a2gBq9fpkMBmW6bTSDBgDgIEa4gx7NYDDIae18mfbNcumd66fq/ZU7NXt9lQpSHbpgYrEKUx0ymQw6dVSeXlzQeeaBy2aWyWiM2ctBkpxWk379evRlXet2NWlbTYtqW/w69d+fq8XX/snwZjXriqcX6uxxhbrt2IFKTbKqvL5Vi0vr9P6KcmV7HDpjTL5yUxzyxNi95mD1zYbbUnvw8+AFY7Rse71emF8qs9GgCyZ8PbPnmsP66ItvbJO826jCVD01Z2vM85VkJumZuVujBhfeQEhPztmiqw7to0ue/FJrd349u+vu99bouS9L9fzlE5WX4lB1k1dbqlv08oJtCoRCOn10gfpmuZTptu/Dq9Cz5CU79OxlE3TlMwtV1eST1D4r7qpD++jQ/llxrk7KTbbr+csn6idPLeiYPWEwSOeMLdQ544pkouHtAcFpNas4Pfo/UzLddv382IG6eEpvNbX55bS2L/vavTvYhZN6yWgw6uGZG9XsC8pkNOik4bn6xXEDleGy6YYj++nO/67u9LxT+qbL4zArPcmq6mZf1HObDIa9hj8GGTR7Q1XUsWAorF0NPt03Y21EsLPbnz5YqxOG5WqbN6jTH5jTMftoU1WzLntqgS6c2L4jpNNq0sbKZv11xlp9sbFGqUkWXT6tRMcOyVGW5+v3oOomr1q++vkzXDZmtQEAcAAj3EFCMhgMKkxz6idTe+vCiUWyGI0RN3Q3Te+v9RVNWrTHzA+3zaynLh2vFKdFRWlOldZE327dZTNre21r1DGpfVr+fTPWdQQ7e3px/jZdMrmXmn0Bnf/oPG3dY0v3R2Zt0u9PHqLTR+fLZbeosrFNpTWt+mJjldKTbJrcN11ZbpscUcKsg1G2x67pg+2a2idNy5cv16jeKbJY2m/chuYl67rD++qfn3z9ybzRIN123CDlpTh02IBMrdnZGPV5J5Vk6G8frYt53spGr2atr4oIdnbbWt2id5eX60cj83TXu2v0+uKyjrFXFpbpkH4Z+suZI5Tlsauh1a+KRq9mrquULxDStP4Zykt2JMR27WaTUaOKUvX2dVNV0ehVWyCoXI9dGS6bnN/oO9XUFpA/GJLHYem2XcoMBoMG5Xr02tWTVdnkVbMvoGy3PeLmfrcWb0DeQEguu1kWQp8Dit1iUlGaM+pYhsumqw8r0elj8tXkDchhMSnD9XXftNNG58tiMur+j9aptsUvm9mo00fn64Yj+yvLbdNtxw3Uz15Z1ul5D+ufqWSnRXnJdu2ob4t6bqvZuNfwx2QyaE6McDocbm/6/JcP10ZdVvb03K26ZHIvbfUGdPoDczo+qGjyBvTbN1fqs7WV+tMZw+WwmrS8rF5/eHuVVu5okMNi0jnjC3XlIX2Uk2z/6lztfeUa2wKymoxK22M3NAAAkHi4i0RCMxgMsls6X8a5yQ49fOFY7ahv1aryBmV77Oqf5VJOskMmo0G/O2mwLntqQafHTSxJk8Nq2mu/hnSXNeY/zCWptKZFH63eFRHs7Pa7t1Zqar8MNXmDuv65RZq/R+Nao0H6x7mjdMTALDmtZlU3ebWjvlULttQq1WnV6KJUZXlsUWe6HMjMRqm8bJtGjRjWcSw1yaorDi3R6aPztXhbnYwGg0YWpijT3X7zdu74Ij03r7TTsotkh0WDcj3KSbZr5Y7oTXkn9UnTKws79+vZ7X9rKtQv2x0R7Ow2c32VZq2v0pGDsvTUnC3620frO8bueV86bVS+fnXCIGW4bGr2BlTZ6NW8zdXyBkKa0Dtd2R5bj9nNy2g0KDfFodwYy9Cqmrxavr1eD8/apMY2v44ZnKMfjcpXYYyb7f0hO9mu7OToM6Vqm31as7NRD8/cqIpGr6b1y9C544tUkOrsthAK8WU1m1SQGv16TEuy6YKJxZo+OFstvqBsZmP7bn5fvb9OH5ytf5w7Sve+t0Zlda1yWk26YGKxLpvaW9keu+44eYiueHphp+c9dki2PHaz+mS6OvV1283xLe/hNrNR86P0lNttZ0Ob/vTBmqgzUD9eU6GKRq8a2vw65+G5HSFTqz+oJz7fovmba/T4xeNkt5g0c32l/vD2KlU0emUwSIf0y9T/O2WIitKTJElef1CVjV7VtLT3lUtzWZV1AMxMBADgQEW4gwPW7t24hn9jNy6pfceVpy8brz+8vUrrK5rkspl1wcQiXTy5t9KSrDp3fGHUZp12i1FOq1kGQ+yeDJlum95Y3HmL393W7WzQsu0NEcGOJIXC0g3PL9bHtxymJGtAP3tlmT7bo6+D2WjQP88bpUP7Z8phNauqyasdda2as7FaKQ6LJpakK8tji7qM7UDksVvksVvUO7Nzc93CVKdeu2aK7n5vtf63pkIGSUcNytYvjhuovBS7rjykRB/HaJg6rjhN/122M+Z5J5ak68nPN8ccf3F+qYrTnRHBzm6vLS7TEYOydEi/TL26aLv+8M6qiOvo7HGF+vkxA5TusqmprX3mz+wNVWrzBzWlb4Zykx1K6wEzf2qavbrn3dV6ZdHXAdeKsgY9MWeLXrt6snplJMWxOqmh1a9HZ2/Wv/aY2bVyR4Oe/mKrXr1msgbmeOJYHXoKk9EQs4dWitOqk0fkaULvNLX6g7KYjMp0WWU1twczk/qk65nLxuuud1drdXmjUp0WXTGtRKePLVCW2667Th2q8x6Z26lx86mj8pXsMGt4QbKWba+Peu5v25XRaTVpybboj5Xal2L98d01UX9HrdjRoPL6VtW2+HXdc4s7jofD0mfrKnXuI/P0ylWTZLeY9NKCbfrbR+s6lrD2Snfq3+eP0aBctwwGgxpa/apq8mrDV79Di9OdyvbY495wHQCAg9XBcRcIfIPbbtG0fpl6/vKJavW39yPIdFtlMbX/w/2KQ/pozc4GzdlY0/GYJKtJj18yThlJVh0xMCtmOOCym2M2c5akdJddT8+N3tMnFJZWl9drY0VzRLAjte/Ecs2zi/4/e+cZ2FZ9f/2P9l6WJXnvGTvO3hMIkLD3CiussHehtLQFSgulpYyyZ4AwElZYCSRAIGTvvb3jeE9Zez0vZCtWJJn2+UOBcj+vQL9Yupav7tU993zP4as7pqOW+7lz4Ta+G5DrIBbBo+cO48SyFNQKKS09bg629rJ0VzN6lYxThqaSalCiO8p27/T6kYr/t2p4xWIRBVYtj58/nG6XDxHh5p7+kZ0im467TyzmkaX7IhdAIhHcNqOI9L78pnXVHXGfe1SWMWGeBsCwTCOvra5JuP7a6hqyktTc/8numLUFG+qZUpjM1EIL726q58+fRmeCnFqRyh9PHYJFp6Tb5aWxy82n2w/j8ASYWZ5CnkUTk/nj9QfxB4M/qOh3qNMVJez00+Hw8vhX+/nrmUN/UpGx1e6JEnb6cXgD/OmjnbxwyWih3U7g38Kmj+9U0SllTC60MP9KPW5fEIk4nAPU7woblmHgoxsm88gXe9lS10WyVs510/M5rsRKsk7JX84YyjnPrcbjjz5XXDohG6NaxpTCZL47EP84o1PJkIpFCbPjtEopuxvjOxMBul2+uHlDAA1dLuo6nLTYPTy0ZG/UWk27kwteWMPiW6aglEl4bNl+3lxXd+R1FVKeu3gkY3OTkEsltPV6qO9wsvJAGzqVlGmFFqx6ZYx45fWH3z+J+H/nHCQgICAgIPBTIIg7Ar9qkhO06qQYlPzrwpE0dbvZdbiHZK2cohQdKX13JX9/Uimbajtj2nqum5aPXiljZLaRzbVdcZ/boJLR60nc0mJSy3l5Vfwa8GAIdjZ0UdfhihJ2+tduf3cbyzKMaBVSrp2/ia31R7bhya8OcM+sEi4cm4VeJaOxz/Xz0dYGNAopl03IodCmjWpi8foDdDp9iEUikrXyX1wTi04pi8lggfBd+Usm5jBraCrbDnURCoVFmeS+zJaxuUmMyTHFjEaUpekpSdVzakUq6xOIP8MzjcxvqIu7BlCSomP+2sSBz6+srCYrSR0j7AB8sr2RacUWZpTaeGVlNU9+fUTAeHV1DePzknjighHY9Eraez0caO7ltTU1ODx+Th+ezsR8c8yYVavdTTAERrUMhfTfG/n7dHv8tjmAz7Y3cveJJT+puLO2KvHY5LrqTrpcPkHcEfhBMCdoR1TJpQzNMPD0RSNxeP1IxaIo4bUkRcfim6fw/LeVrKluJ1mj4PpjChiZFW7D+uOpQzj72dUxocs3H1uASS1jZnlKws+hXilDKYvfdgdgUMk52BJ/ZAzA7Q/wj6X74q71uP3sb7LT2O2OEnYgnPszZ94Glt02DbVcwu0Lt0UJ4SIR/OWMck4bloZWKaOx28Wm2k4WbWlAp5Ry8fgccpM1Ue5EfyBIl9OHWCz6WbgWBQQEBAQEfs78pOLOihUr+Pvf/86mTZtobGzkww8/5IwzzvgpN0lAIIJZq8CsVVCWbohZy03W8MmNk/lk22G+2ttCslbOlZNzKbTpMKnl3HdqGWc9szrmzuqk/GR0Sinl6Xp2NsS/s5qkkceteO7HqJZz38exrg8IW+u313dS3+mKEnb6eWjJXqYVWej1+LnoxbXUDMgFWrKziXNHZ3BPX9tXfaeLeauq+XxnE0qZhEsmZHPS0NSoO9mdDi897rD4Y9LI0Cp+OWGcWoUUrUIad4TIplfy1EUj2VTbyRtrawmFQlwwJovxeWbMWgXHldp47tuqSFNTPya1jFHZJhq73axJIDCUpxsGFUcKrdqYi6aBvLa6hgKrLkrY6WdtVQefbDvMmSPSeXjJXt7ddKQxbsWBNnLMat68ejzpRhXNPW6W7W7m1VU1OL1+ZpRauXJKHlkmNeI+94HT46fD4cUfCqFTSBNeyA4kFIJBsmT/K/zUry8g0I9eJYsbUiyTism3arn/9DJ6PQFkElFU3laBRcunN03hw82H+HZ/G2aNjKun5lFk02FUy7lrZgmbaztjQp3vO62MZK2C80dn8tqaWBFZLAK9UopRLUt4njGp5XEz4/qRiEVxnXEAvkCInQ1dNHS5YxyOoRD87sOdjM5JQuf2c/HL66NyiT7ccphLxmdz2/FFJGnk1Hc4eWdDPUt2NKKSS7hsYg7TiixR5yC724fd7UdEOIvt15ZJJyAgICAgMJCfVNxxOBwMGzaMOXPmcPbZZ/+UmyIg8B/R39Y1d1o+F4/PRi6NDnYuSdHx8Y2T+fsXe1ld2Y5JLWfOpBzOHJGOVa/kj6cM4fwBYZf9FNm0aBVShqYb2NEQP1MhWaugwxm/ohfArFPwl8V7E65vO9RFdZsjStjp592Nh7hobBZ2j5/Tn14V9eX//k928/G2wzx38ShMahl7Gu384aOdbD/UjVgUzrT53UmlEbHE6w/QYvfQ3utFLAq7pGw6ZUQ4+Llj0ys5aWgq04qSCYVEaJVH/r5pRhUL5o7n5ZXVvL/5EIFAiJMrUrnhmAJSDCpmlqfw7DeVMVXKSpmYSflmej2BhCMXZWl6lu9LPPZVZNXxzvrE4s97mw4xLMMYJez0U9PuZP6aWi6flMOt72xhTdUR99Eba+v4aOthFt0wiTyLlvoOJ/9Yuo/PtjfiD4YoSdFx/+llVKQbOHloKi+sqIr7+idXpGL8iRt3xueZE66NzjFhEBqBBH4mqOTSuA2JIpGIrCQ1Nx5byKUTsjiwdw8jMvSRxsCsJDXvXTeR9dUdfL6riVSDkvNGZ5JuUqFXyrh2ej4bazujguPFIvqcfQqunpzH3+O4c+QSMXqljAyTKmFrZJJWQWNP/KYwAK1Sxksr4499AWyr76KmzRE3cPqNtbWcOyqDXo+fs55ZRVvvkWPoXe9tZ0KfOzFJI6ey1cHDS/bwzf5W5BIxZ41I54ZjC6JCtJt73HS7+m5AqGX/lkAtICAgICDwS+UnFXdmzZrFrFmzfspNEBD4PyERi+LelZVLJQxJ0/PkhSPo9fgRi0RYtIqIsFGeZuDtq8fzp492sa/ZjkIq5swR6dx8XCFpRhX3nlLK+c+vjXnerCQ1eqWM0dmxI0P9WLQK7O7EY19WnYK/fR7fcg/h4Nndh3vi3tXdUtfFviY7Nr2Cc55bjS8QVqeCIVi6u5ktdV0sumEiOqWMz3c1cf/Hu3D0VcYna+U8eeEIRmebkEsldPR6aOhysXxvK3KpmONKrVj1CgyqI3evg8EQXS4/6XnFP9lImCaBGynDpOaeWSXMnZpHiPDd7v67xhkmNe9dN4GHFu/lyz3NBEMwLjeJP51aRopBxYllNp76+gCdR73HMomIaUVWJBIxy/fFz3QqS9cnzAMCKE3V814cYaefL/c0M7HAHCXs9NPj9vPk1wf4zQnFzH5pHXUdRwTAvU12LnxhLR9cN5HMJDWnDUvj423RweEmtYybjytErZDi8PgjVfDtvR4mF1rISVbHtO10u3zhKnWlNBJW+3/FqlNw7bQ8nvs2WoBSyyX8+fTyn00jmYDA9yERi9DKJTQeqmNERXnUWppRxRkj0jl1WGpMXk2qQcWrl4+hus3BigNtWPUKphVasOkVqORSzh2dwc7D3SzZeSQ8XiWT8OKlo0g3Krl1RiF3vhtbBa+RSzAopZSm6BPm+pg1croGuwGhVfDwksQ3IHYc6mJvS2+UsNPPmqoO9jfbSTWqOP3plZHRM48/yNsb6vnuYBsL507ApJaxsbaTez7YERGpytL0/P2cYZSk6BCLRbj72sAOd7mQSkSk6JVYdUpk/0P5cwICAgICvy5+UZk7Ho8Hj8cT+f+envAXC5/Ph8+XeIxF4P9G/3srvMf/OUoJKNXhj1kg4CfQ164uE8OoTD3zrxyDwxsOdE5Sy5BLRPh8PkptWl6/Ygz3fbybqjYHErGImWUp/HZWMVatlN+dVMrZz66OaWLJSlJjVMuYXGjm672txMOqV+LzJw58TjMoeTRB3gJAXYeDt9fXRYSdgbT2elhX3UGaUcVd70VfGLT1ernslfV8cctUtEoJf/50D58MGE96+PO93HRMPpdPykGvkNDS6+PT7Yd5f3MDUrGYi3qVHFdqJVlzRGzpcvnpcfsRicI5Ewblf9eSLwLM6v7DaBDfgIyLDIOCv58zlG53KaEQ6BQSdAoJoWAAm1bGu9dO4P5PdrPyYBuhEJSn6/nz6eVYtTKmFSZj0SlotXuiXk8mEXFMsZVkrYIvdjXH3abyNB07Eoz8AQxJ1fPx1sRtbjsOdbP9UHeUsNNPMAR/XbyHR86pYFxuEuPzkli09TB2t48JeWamFVmobu3FqpHx9b5WFu9sYlZ5KhadglUH23ju227+ckY5yRopnS4/W+q7ef7bKrpdXqYVWbh0QjapegX95i6XL0in04c3EEKjkGDR/HuOG5UUrp6cy+SCZJ77tpK2Xi+T8s1cPCGbNL0iciwLhkK0O/0EgyEUUjFGVewpUTj+CfzU/Dv7YLD/5DIAk0qCKVPPqCwDoYhNNITP58OkkvDgGWXcOqOQXYd7MKllFFi14eNrKMj0omRuPCaf51dURY71KXolz18yEptOzj2zirnklQ0xr2nWyDGpZYzLNScMnrfq5DFB0gNJMap4NE7bYD+Vrb28t/lQ3EyhQ50uNtV2kJus5bJX1kedI3cd7uG859fw2c2T0SkkfLytkYeW7I1si1Yh5dHzKpiYl4RSKqbH7afZ7mXF/lYkYhHTisPnH50i+jzj8YcQiUAu+WW4Uv9ThGOgwE+JsP8J/NT8HPbB/+S1f1HizkMPPcT9998f8/jSpUtRq9VxfkLgh2TZsmU/9Sb8qtBqtfzzlFyQKZGKwdnZyrbVy9kcCGC2pjLv0hH89YuD7G2yIxWLmFVu44YpmezeuJqbpg1l5YH2mNauQqsGFV5OGGLh/S3xc18sWhmyQapsUwyqQZ0jbl+Ax5btj7vmC4RYtqsRs1YWJez086/llYzP1mNWS7jmnd1RAsO9H+3inQ11/O2UPNoO1aBMLeC+xfvZ02gHoCLDwJ9mFdJTv5ee7i5s6Vlok9PY3exABJSmaOhpaaD1cH3kOfV6PTqzlVAIHJ2tdHcnrhf+oZHJZNwyOou7js0iGAoRdPfSuncDdVtcqNVq5l0yjMeX1/DV3laCIRiRaeCeEwqo27uN/Iwcss3qmFwMhVTMxFwDmQY5ixIIOBXpeqraHQm3a0ianuV747uGAHrcPlYfbOP3i3aRYQqPoKlkEnYc6ubV1TVkmlS8dMlI1AoZFq2C33+4A4c3wMgsI3On5fP13iZGWCS8sL6VRduOuAYqWx0s3HiIt+aMoOXgdtKLKnj8m1qW7WkhGAKbXsFdxxeQKbXTWFeF3mjCmlVIXbeXdoePEpsWic/OoYN7CQbD+71er+cPMwoJiaT4nT3sXLOc7cEgYrGY/PKRLNnXzevrDtHt8lGaquM3M/JQOVtoGbCP9CMc/wR+an6MfVAkEqFVKnEHAmzeF+2UmZSWyayrR9LpDqCQSlCEPLTu38Lnm+2kZOby97OG8PAXByPjpyMyDdx/chGVOzZy6zHFrKlqJ3DUHYisJDUqUYDjSpL5aMDnfyBWrQzJIE7NNKOKJ76Kn/kD0OHwsWjLvpibHxAOfV668zBFVi33HdVY2Ovxc938zXx4zWhEPifzNnfywdYj56m/LN7LtVOymZElobmuiuySCg50BvhwWzNikYhzR9jI0kLN3u0Eg0FEIhEWWypqkwUAR2cLbc1NA4S2XxbCMVDgp0TY/wR+an7KfdDpTJyDdzS/KHHnnnvu4fbbb4/8f09PD5mZmZxwwgno9fqfcMv+t/H5fCxbtozjjz8+Mu8v8BOQYYGhQ6IeeiPdFHH+GFVSlFIx+SnT8AdDLLphIg8t2cvKg22oZRIuGJvFlZNysGhl3HScii/3ttHtilaCx+SYSDWqOX90Bv9aXhl/M4wqTGo5HY74tnubXklVW2LxwKhV8GqcoM9+NjX0IhGL4zpHdh62U20XUVIyjJOfXBl193f7oW4ueW0Li2+ejE4p5a319fzz/Y2RXCOxCO46sZjzjjsRnUJCm8PHigNtPPldPSHg/DG5TBtuiXKHdLn8dLv8hACDSoopjrMDwhdI//cv7BYozI165NFzDXS5/ARDIbQKadiZlBPOk3nzKhMvrKji3Y2H8PgDTC+ycPesErJNSkw6ddy2L4NKxowyG50OH2+uixUwAMZkJw2a6VRk07G7T1A71Onipe+qo9ZNajk9niCPf7k/Ku9jc10X183fxAuXjMKvULJo246Y5+71+HlseQ0PnjGRS15eH7UfNfd4uOP9XTx/yUhOnFnMtgY75726ITL2BzCpwMyj58zArJHS4w6wt7mXv359xLlz4YRjSNMrsLsD3Pn+dr7Zd8TdtqfRzhVvbOPly0Zz0klDI4/7/X42bNjA6NGjheOfwE/Cz+kcXJqTFvnvESGYWGjD7vYhlYgxqWTolRJIn4g3EOTduRO475NdbD/UjUwi4rRhadw6o5AUnZxbZhTz9d427Ec1Rw7PNJJiUHPOqHSe/TZ+rleGSYVeKU14DkozKtk+iHtRKZfx7IqauGvBECyv7KbYposSdvp57rtajps7npGTsrnuzc1srT9yQ+Cb/a1Rx6Amu5dXVtXw0dKwC+nMEelcPvk4UnRHxkK7XQG63eHzsEElxaD8+X0t/zntfwK/PoT9T+Cn5uewD/ZPK/07/PzOIoOgUChQKGLD8GQymfCB/y8gvM8/PywyGZY4j8uAIWlynr5oJL2ecJOIWSuPZJpkm6V8cuMkXl1dw9JdzajkEi6fmMPxQ2wk65RcOC6bxTubqGyNFmnOGpFOikHJddPyuPO92DwGgJxkDfkWTcxIUT82vXLQNrAUg4rnE3ypB6hsc7LyYHtcW7/TG+Cz7Y2Mykni0aXR7qFgCB7+fB+jc5JIN6m46vVNUeLD1vouSlN1vHL5GCxaBXsa7dz9/vZIrkSBVcvfzq5gaLoeuVRCj8tHi93Nt/tb8QdCTC2ykGpQRuW5+AJBOhxeQiEwaf79qvF+ZDLQq+MHgGaYZNx78hCum54fHvtSSiO17ykKOU9dNJJlu5uZt7oGlzfACWU25kzMITNJjU7pY/a4rJhWrqwkNccNseH2BnjiqwMxgd8AkwosiERAgkavoelG2h3eqPe2n2AIvt7bEpO7M5AdDd1UtTkSCoR/XbyX4jljuezV9TFjGasOtvPSqmqun57Py6tqeOabIwLlrsM9zF9Xx4fXTcQfCkUJOwO5/5PdvHftBExqOU09bjbUdFDjSkZy2EGBVRfV1APQavfgDwZRy6VCULPAj8rP8RycLo+/PTIZjMxWMG/OWHo9fiQiSNLKUfUVD+SYpXxy02Se/7aSZXvC56BLJ+RwakUaFr2Siyfk8NmOphiR/+ShqaTolVwxOZc/frQr7mvnmDWkGpQJz0GpRlXcmwf9JGsVPJ8gMB7gyz0t5Jg1UcJOP6sOtrP1UDfl6XrOeW4NzT1HtuHlldUs2dHIu9dOxKZXsLcpfI7pP1aWpel56KyhDEnVI5WII6UETd1uQiFIMSix6hQofqJGsJ/j/ifw60HY/wR+an7KffA/ed1flLgjICDwn5GohlckEpFl1nDPrBKunZaPRCQiWXdEREgzqph/1TjWV3fwweYG1HIJl07IjtTwTiu2cmpFatRolUgE955cilWr4Lbji+IGQsskIvItGiYXmFmwMX7ob4ZRxWCFWql6JR9vbUi4LhGLePabxJb9xdsbKUnTxxUf9jTa+WZvKxPyzZz7/Ooo8eBgSy8XvrCWxbdMJlmr4KXvqnlqQB3wQ0v2ct7oDO6eWYJZq+Bwl4s319axcFM9/kCQk8pTmTstjyxzuE3MHwjSbPeExYFAEJteiUWniKnydXjCzp1+4WYgcqmYVIMq7u9p0yu5eHw2M8tSCIRCmNSyiLiXpJFzxwlFnD48jdfW1GJ3+Th9eDoT8s2kGVU4PX7+ee4w7nh3W9Row9SiZI4ptuD1B9EppDF33QFOG56aMA8IwsHMKQm2GcIXZpsShIVDuE55W31X3LwNgHfW13PuqIwoYacfpzfAcysqGZFlSvj8dR1O3L4Am+o6ueyV9UdExOXV5Fs0vH7FWNJNatp7Paw40MbTyw/S3O1mWKaRO08sosimQ93XftRq99DW66HH7cOiVWDWKmIEII8/gMcXRCWXDDoOKSDwSyRJIydJExtgLhaLyEnW8KfTyrhlRhFiMSRrjpQOpBtVvHPNeL7Z18pHWxtQyiXMmZhDeZoBk0bBzLIUlu1q5rujcn1uOrYAm17BzccVctVrG2NeVySC/GQNJSm6mBr5ftIMqoSuIAiL4PPXJXafbqhp52CLPUrY6edwt5vPdzVybImVc56LPsfsOtzDuc+tYcktU7DplXy9t4W739+Os8+dqJSJuf+0Mk4amopOKaPL6aWx283SXU34AiFOKLORYVSRdFQjWLfLRzAYwqiW/WTFBAICAgIC/x1+UnGnt7eXgwePXBxVV1ezdetWkpKSyMrK+gm3TEDg14FcKsGmj38XMNWg4vTh6ZxQZkMiEiMf0CBi0Sm4//Ryrp2ez+qD7SjlEibnm7HolWgV4SaVv59TwX0D2rIsWgVPXDgcm17J3Gn5fLytEZcvOgTUolWQb9Vw4dgsHvg0Og+hnyKbFqteGeMq6seqV9LUHf+OLUCKUTlolfiBFjvV7Y644oE3EOTNtbXMGpoaJez0s3DjIY4rtTE03cBFL66Nqpt/c30dS3Y1seiGSdh0CtZUtXPzO1vocYUFEoVUzD0nlXLmiHQMKhmtdjfbDnXz6qpqPL4gZ4/MYFqxhTTjEWGkvddDp9OLPxjCoJKRolfGfHlP1ikIhUIxjydpFIzNVTA800QgFIzcUQdQK6ScWJ7CyGwTayrb6Xb5mJBvJt2owqxVEAyGeOea8cydvynSRKOQirnp2AKKU3Rsqk0szlS29vLnM8r5Z4JcprJ0PRlJicWfNIOShq74Fc0QHslYF6cJrJ+dDT1MLYrndwsjFoEvGGLOqxti3GGVrQ4e/GwPD5xexhNfHWT+2iMXeCsPtrGqso3X5oxlapGF6rZern59EwdbjtQ9zypP4b7TyrDpldjdPmranbz0XRX1HU5GZZu4aFwWGUZ1pK2n1+Ojze7F5QugVUjjin8QbpUTD6aICgj8TFHKJKQY4p+D0owqLhqXxanDUpGKxajkR/6dVa/ksfOHU9vh5POdjajlUk4amkKKQYleJWdUlpEbjingmW8ORhyICqmYR86pwKpXcsuMIpbvb41xJyqkYopStEwtTGZ+AndiZpIaf5xCgX5yzRreWh9/7BWgqdvNG2tq455jPP4gb66r5eyRGdz8zpao7XP7gtz9/g6KbDqyzRqe+vogr6w6Mhb71PKDnFqRyh9PLcOiU9Dc42Z1ZRtvrKnFFwhx9sh0TihLiTqHOD1+Op1eQoRLCeLdDBIQEBAQ+OXwk4o7Gzdu5Jhjjon8f3+ezmWXXca8efN+oq0SEBAYyMCL/oH035EtSzPErOlVMk4fkcbEfDNtvV4kYhHJWjlWnRKxWERWkpoPb5jIg5/uYeXBtkgb2G9OLMamVzFraAoLNtaxr6k36nnH54VHqm6Yns+ayva421Wepmdsrol9zfa46+nGwcPX04wqPo0T9tyPSibllZU1CdeX7Gikx+WLEnb66XB4eXtdLWeNzODK1zZGhY16/EHu+3gXhVYtRTYd93ywgy/3HAk23ljbSY5ZzVtXjydFr2Rfs53bFmxlb1P497ToFDx4RjmTCpLRKqR0Or3UdzhZsKEeuzvszClPM2AzHBkr6nH5IuKQTiHFOmDkSC2Xkm2Wkt3nNBqIWCyiLN3A+9dNpL3Xg9cfxKxVRMSHE8pS+Nvn8RvXzhmVSYpeyZWTc3l55dF5PTIun5iDRCxGIRXHHb0bn28e1Hlj1SnDNWYJEIkg36JFLhHHBI5DOBejsqU3RnjsZ9nuJm6ZURgl7PQTCsHvF+3gzSvHcekr66nviBahluxswqSW8dtZJXy+qzmqUW5zXRevr6llwTXjGZ5lorHbxYOf7mHJzkaCofBF5+UTc7hqSh4WnQKvP0BDl5tPtx1mT1MPY3OSOK7URrpRFRF6+sc6PP4gKpkEq06BVHAHCfzCiOdahLBwnaxTMCo79nhg0ii4bloe547KYG+THYVURIFVFzlGFVi1PHfxKH73wY5IIHSGScXj5w/Hqldw5ZRc3t/cEHMcMKllFNu0nDEinb99Hr/OvcCmiyvC9pNtVvP2IOKPXCLmpZXVccdiAV5bXcP5YzKjhJ1+PtneyMzyFEbnJHHjm5vZMEBo39EQDr1/++rxpBlV1HU4eHTpfj7b3og/GGJyQTL3nlxKgVWLVCImFArR3OOmvdeLrXQMzXYfNoPgMBQQEBD4OfOTijvTp0//xbYGCAgIDI5cIiHdpCbdFCumSCViSlL0PDN7JD1uHyLAqJajUYQPSakGFfPmjGXVwTYWbKhHKhZz6YQsRmUnYdEpkYrDLpGnlh+MCky+Z1YpNoOKyyflsnDjoRhxQCkTMzzTyAVjs9hc1xV3u0tSdGyp62Rrgu/eVr2C9TWJnSGZJjWLBhkba3d4eGdDfUyLTD+vranmknE5UcJOPzXtYbHm7FHpnPfcmqixqFa7h7lvbOL96yaQZ9HyzPKDvDgg7PjjbY0MSdXx8uVjSDWoqGlzcP8nu/im7+51brKGP59exsgsE2qFlB63j6ZuN4t3NNLp9HHCEBuFVm2UAKRVSPH6g/iDIVQySeSCJkWv5G9nD+Xu96NDk4ek6rhqSi5mrYIbjsnn1Io0KlvD4pRGLqUs3UBmkhqvP8Crc8Zw5byNURdXUwuTuXBs2NWZb9FS2Rot/gFcOCaTktTEAfs5ZjVub4A/n1HO7z7cEfV3yExSccGYLA60xD5vPza9il2DhLW22b009rhjhJ1+3tvUwFVT8rj3w50xax5/kDve3cbrV47j9oVboxxIHn+Q51dUEQJuOa6QLXWdzJm3IVJTvXhHE48u3c+CuRMYkqanpcfNyyureX1NLS5fAL1SyrXT8jlvTCbJWgWBYIiGLherDrSxu7GbYZkmxuUlkWFURVxe/kCwTxwKtyXZdAokwoWdwC8ErVKGVikjJzlWoNYopBxfaqPiJgMdzvANCJNaHsnUyjSp+fD6idz/yS7WVHUgFsFxpdbIOea04Wm8ua424lzsJ9+iJS9Zw5xJOWyui+9gLEszkGJojTsaDGGRac0g7sN0ozqusNPPx1sPIxaJooSdfmrbnSza0sBpw9M496hMoJUH2zjjmVV8dtMUMs0qttV3c9NbW2jqCY+vaRVS7jutjBOG2NCrZPR6/LTa3aw82I7D42dyQTJpRiVJmuixMLvbRyAYQq+UCQ5DAQEBgR8ZIXNHQEDgJyNRJhCEBZ5zRmUyo8TKgf37GF5iiQSKmTRyrp6ax1kj09lS14VYLGJ4hhGLToFGIUUtk7Bw7gR++8H2SFV6WZqeh8+qwKZXMLUwmSFpenYf9eW6JEVHgVXLVVPy+GxH/JreUTkmXL4gGxOMHmUnq9nbnPjiP9WgSigsAaTolLw1yNjYnsZulu6Kn3cD8K+vD3DrcUVRwk4/uxvtLNxQzzmjMjj/hegv9tVtDi55ZT3vXzuRApuWdzfW8+dP90TWX1tdQ0W6nhcuHU2KQUV9h5O/fb6XJTubCARD5Fu0PHB6GSMyjeELpyE2hmcaWbKziQ6Hl2OKrRRYNZGMoEAwRHW7g1dW1dDl9DG5wExxig5/IIhcKmFMdhLLbp9KS48Hp8+PTafErFGQpA3nd7x+xRj+/Okelu5uIhgKj/Tdc1IJkwqTEYtEXDctn2e/jc7dUcsl3H58MTqllHmra3jp0tFsre+i1e6hPN2ARiHhm30tzBqamvD9N6ikaBSJ78ob1TIau+JneQCo5BKq2hxxXUMQFvA6Hd6Eo2Wvra7hwrGZXP/m5oiw04/d4+fmd7bwxpVjeXjJXj7aejiy1uP288gX++j1+Ln5uAL2NvVy0YtrI3keb6ytQ6+UsmDuBEpT9bTaPSzcWMfzK6rocfkxqGRcNz2fc0ZlkNw3mne4y8WaqnZ2NHRTnm5gQp45yjnULw65fAGUUjFWvQKZ5KcJgxUQOBqxWESqUUWqMXYMVCoRU5Kq57lLRtHj8iMSgVElR9vXZpVuVLFg7gTe33SI9zcfQiIScf6YTE4bnoZVr2RcXhLTiy0xwe0zSq1kJqm4dlo+X8UR8AFGZJnY22hna31X3PUss4r1NfGdqxAO/397kHPItkPd6JTSuJlAbl+Q576t5Lrp+Vz80rqoGyS9Hj93vruNBdeMZ0iqng+2NHDfJ7uiHEazylJ44IwyLLpwoPXW+i5eWVWNyxvglIpUZg1NJX3A++3y+eno9RIMhcUjU5x8JgEBAQGBfx9B3BEQEPhZo5GLOVxXzfDy0qjH9UoZeqWM3GRtzM/IpGKGZRqZf+U4ulxhZ5BBJcPcFzSZYlDx8mWjWbG/lbfX1xMKhbhgTBbTSyykGFSo5eE7lH/+dHfE2SEWwe3HF5FpUnNKhZznV1TGtH6pZBLG5phJ0StZtjv+F/ehGQYCwRDfHWiLu55qVNEU50t3ZN2gYl114ru6eqWMhQnCqiF8dzYzSR33i30oBP9Yupc/nlIWJez0s72hh/lr65g9LouLX15H7YDRs8rWXi5+eR0L505gSKqeL3Y18/sPdzA804hKLmHJjiaSdXJeuXwMCqmY+z7ezWc7joy/Ldh4iI+3NfLB9RMpTdXj8QdwegMs29NMY5eLE8pS0GYeOWWlm9Q8eGY5d55QhCcQRCOXkmFUIu0Ljb56ah6TC5N5fkUlbXYvkwrMzB6XTWZS2Ek2d1o+l76ynqwkNQaVjOX7Wsgxq3ns/OEATMhLinv3/KopeQxJ0ycc68pN1pBjTjz6p5KLCSZwbUG49WywTKFQCJq7PfS444t7B1t66XH5o4Sdgby8sprzRmcy942NEWGnnx63nxve3Mzb14zjmeWVvLbmyOhZt8vHw0v20t7r4fYZRVS1O7jg+bVRIqNWIeWda8ZTnm6grdfDwg31PLeikh6XH61CyhWTcrhkQg4WXVgcauhy8c2+FjbVdjIkTc+JfXkg/WMfXn+A5h4PTq8flVxCslYRCavuJxAM4fEHkEvEwsiZwA+OQSXHoIovOKQbwyPCYTdhCPOAQGirTsnfz6ngQEsvCzbUIwIuGJNFvlVLslaBVCzm7hOLeWTpvog4IhLB7TOKSDOquGxSDm9vqMd/1LFCLIKxuUl0u3xsSBA8X2DTsqMhtsmrn0KrhmW7E4feO71+Fm1piDsWC/Dk1wf43axS/vRxbFvZkl1NTC22cPwQG/cu2hEVrr+1vouXV1bz7rUTyDCpOdTp5PEvD/DR1gZ8gRAjsoz86dQySlLCY23hsbBwKL3XH8SiU5CslaOSC5cuAgICAokQjpACAgL/s5j7GorikWpQcf6YLE4sSwGIqjDXq2ScNyqDY4st7DrcQzAUojzNgFkrR6uUYVDJ+OC6ifxl8R6+3ttCKBTOA7rv1DLSjErUCglnDE9j0VEX2GOyTQxNN1Jg0fHid9VxvzxPLkim2KZjaYIv36WpetRyCcsS/M42vWLQQOl0o4oV++MLSwBSsZiPt8UXBgCW7W6mIsMQJez0EwrBXz/bzSPnDOOeD8IjWQNdSq29Hl5bXcPMspQoYacfly/AXz/bzeMXjGDprmbu+fDIWNeirYfJTFLx1lXjyUxSU9/h5A+LdvLtgfBYmVEt464TSzhpaApGtRyJOJyPccrQVALBEEaNHIlYhFgUbosbmm7g05sm0en04fD4MWsVmNQyLDolVa29XDoxh0Kbjvc3HcLhDZCVpGbutDwOd7lQyZL553nDuOmowFOTWsb9p5VhVMsosmnZ3xw73nXasHSKU3RIxaKYC7f+57Do4u+zAFKJCI8/fh4QhLN5mnsSO4c8/iAdTm9ccQ+gqs1Bt8ufMEx23uoaZo/L5tr5m2LcY70eP3Pf2MQH10/kpe+qotxjvR4/T359kBa7h3tPKaW2zcn5L6ylt+85Fm09zKNL9/PGlWMZlZ1Ep8PDK6tqeHVVDS5fAKlYxBkj0rnzhGJSDEr8gSCHOl18sLmBjbUd5Fu0XDw+i8wkdUQA6vX4aOv10u30oVFI4zY3Ob1+HJ4ACqlYCJMV+I+RSMQJP68WnRKLTsn4XDNA1EiSUS3nkok5zBqayrZDXYRCMDzTiFkrR6eUoZJJeP2Ksdy+cFtkLMqiVfC3cypI0Ss5aWgqL6yooq03utVLq5AyJjsJtVzKigQ3EMrTDTR0Jj5G5CZr2T6IOGTRKnhnQ+LMoHfW15Fj1sRtTWzsdvPKymqumpLH7JeibxBsqevinGdX89GNkyi26dh5uJu5b2yKHKvkEjE3HVfA7HFZJGkU9Lp9NPV4+HxnI+0OLzNKY0eHIVw80F86MFgWkoCAgMD/AoK4IyAg8KtmoKgzELVCSpZCGqkuH4hIJCLPouXx84fT5fT1NY1II8+VrFXwh1OGMHt8Nm+vq8MbCHLu6AxKU/RY9Up8gSBvXjWOm9/eEqnjNahk/PmMcnKTNdj0SsbkmGLuzNr0CiYVJDMmJ4nnV1QRzwAyId9CMBSKqqkfSL5Viy/BSFD4NZSRgNF4pBqVrDjQmnAdRHy5J/Fd4bp2J1/uje9qAlhZ2U57r5ffLdoRs1bf4eKxZfu588TiGOdQl9PH7z7cgUou5vhSGws3HOIvi6PdRya1jPeunUi+VUtth4Mb3tzC7sbwCJ1ULOLSCdnceGwBW+q7aO5xc1yJlWlFFkIhCIZCmDRyHlu2n1nlqRxbYmXJzVN4f/Mh6jpcTMw3M73YEgmgfuXyMdy+cCvrqzsjz3/h2CyunpKLRi7lrpkl/PWo7ZOKRfz1zKGkG1VkJamp64gV0KYUJpNlViMRi+LmNqnlkpi69YGIReBNcEf+yHvpTZgJ5QuE6Hb5EmYKNXS56Hb5mLe6Ju76wo31XDstj5ve3hIRdvrx+INcO38zS26ezIvfVfPSgMBtfzDEe5sO0dHr5bHzh1HT7uT8F9ZEGodWV7Yzf10tT180khmlVrqcPh75Yh8fbD4U+ZyMyjbx+PnDyUxS4/YFqG138PTySrbWd5FmVHLDMQUMTTdEPsftvR6aetxUtTqw6hRkJalJMUQ30rX1evD4AkjEIixaIZNIIJZEOTNahRStQho3E0ghkzAh38yiGyaF26z6jj+2vlKCDLmU966dyKNL97F4ZxPBUIhjS6zcM6uENKMKuVQc9xySY1YzLMOITa/kwwTZcGNzkwiFQjEjZZHnSNYkzAsCyLVoeG9TYvFnQ00Ho7JNcW8Q+IMh/vb5Ph44rYwLX1gXlbnmDQR5dOl+cswajim28OGWBv7w0RH30KuraihP0/PSZeHR4Va7m2/3t/LSd9V0u3xMK7Iwd1oemSZ1xOXX4/LR4fDiDQTRKaWR91dAQEDgl4og7ggICAj8f6JTyhI2ufS7hkb1NTsN/MIok4gZnZPEhzdMosMRvpBO0sgjbUZapYynLhrJiv2tzFtdg8cf5LRhaZw1Mp0MU/jC9IVLR3Pz21siozViEVw7LZ/hmQa8/hBDUnXsboxuDFPLJZxUHs6T+dfXB+O2sYzLSyJZq2BBgjuzeclarLrEuQjJOsWg4pBJI0ciSvzluSxNz8qDbQmbYlYdbOPMkelxLwwA/v75PsrTDfx1SexYWafTx32f7OKhM4dy8Uvro8af/MEQr6yqIStJzZA0PVvqunjkqMYvmUTEkxeOQCUXUdPuZM689ZSk6DGqZby7qZ5Ptx/myQtHkGpQoZRKuOnYQvyBEC5fAI1CilElQyGVoFZIOXtkOmVpep795iANXW6Gpuu5dloBeRYNSpmE1+aM4ePthxmSasAXCCIVi9jT2MO5ozPD+TfT8nlq+cGY3/GPp5Zh0yvITFJR3+FCrww7VlrtHhzeAMOzwhd2iZxDKpkkZvTpaAYTByF8wXR0HlA/wRB0u/xUtTnirnc4vHS7/Ly+JraNDODrfS10OL3ctmBrTJV0KAR3LNzG13dO45nllby3KXo8cVNtJ1e/vpG3rh7H/uZeZr+0LiJi1XU4WVu1njuOL2LO5Fzsbh83v70l6uI4WSvn9SvGUZqqw+7xs62+iwc/3cO+ZjtGtYyrJudy3ujMiHPgcJeLbfVdrDjQSpZJzcyhKaQYVKj63AP9bWY9Lh9KmYQkjTxGbPb6g3Q5/aTlFCR6uwX+RxGJRKQYlKQYlHHXc5I1/O3sCn47qwQIO077z0dWvZKnLhrJ2qp2Xltdiz8Y5JxRGRxfaiPVqEIll3DLcYU88dWBqOecWZZCaaqeDJOKF76rivs5nlpoId2oSjjaVWzVsX+QUPpCq45lCfKGIHz8+HZ/a8LGwie+OkCRTRsl7PSz83AP81bXcOXkXH734Y6o8eh3NtTz8bbDLLphEkU2HbXtDu5dtDMyIp2slfO7k0o5rtSKQSXH5w/SbHezr8lOW284ly1Fr4xxA7t8frz+EFq5RBB3BQQEfnIEcUdAQEDgR2Swu4A2vTLSzhJv7dzRmRxXaiUYApNKFvniqJRJmFqUzNLbplLX4cTtDZBv1WLWhMfGAF6+fAwLN9Qzf10dLm+A40qt3HJcIdlmDR5/gH9dOIJb39kadYF/akUq04osBEPhcOn+mvV+ZBIR54zKQCUX88gX++I6h8bmJFGebuClOIHOEL5YnVZkibmo6GdKgYVejy/uGoDNoGT7ocQjA2qFlPVVHQnFoZ2Hu6ludyTMtXn8y/0smDsxbtW5LxDiiS8P8NzFo7jk5XW0O7w090Tf3f77F/u4Z2YJDy7eEzf35onzhzNraAp7Gu385r2tzCpPZXxeMrXtDq55YwOvzRlHvlWLQiZh56EeHv/yAKFQeCRh9vgsZBIRGoWUSyZkU2jT8vTyg9R3uChO0XH78UWUpekxaxW8fsVYdh3uwRcI0djlIjNJTTAUYlSWkSSNgmun5bPzcDdnDE9HLhXj8gV4f9Mhji2xkqyVk5usoTqOAFNk02LWKiJV9WJR2IHg8AYIBEPIJeLvFYeC39OSaff4EgZOA/QMIg65fAG6nb6E4uTeJjsdDh93v789rjvpsS/3c+bIdB5dui/G9dDW6+WSl9fx+a1T2FzXxdw3NkXWupw+/rF0P9sOdfPI2RXYPX4ueH5NxJkH8Pel+3hm9iimF1twegO8s76Op5YfjAi043KT+Pu5w8hKUuMPBKnvdPHKqmpWHWgjSSPnOnlH3+hO+OKyw+GhqcfDroZuzFo5RTYdKXplVPZQi92N0xNAKhFh1spRyWL/Nk6vH6lYjFwqXJj+0lArpKgV8T9vNr2S04enM73YSigUHkvqd50Z1XKumJzDKRWpLNvdjNsXYMYQG+lGFWatAoNKyrw5Y7np7S109In1SpmY380qJd+qxaZXkqJXRkbG+pFJRMwoszE8y8SHW+I7gyoyDTR2Jx4Ly7do2DnIWFiSRsbnO+MXHgB8uKWB40ttcXPvnN4ADy/ewwNnlDP7pXVRbWdtvV5uX7iNFy4Jf0Y31nbGNDZOK7Tw93MrsOqVdDm97G+289J31bT1ephebOGMERlkmo40Dnr8AdrsHnzBEGqZJGZkTEBAQOCHRhB3BAQEBH7GHF0r249cIiHDpCYjTtU8hDOFbjymgPPHZBEihEEpi1wEqOVSZpTa+PqOaWxv6Mbu8jMy24hVr8TU5xx4dc4YXl1ZzVvr63F4/UzKT+aek0oosGoIBEM8ddFIbn57S5Q4NLUwmdOHpwFQka5n+1GV4RKxiNnjs0lSy7hsYg6vHTW6Y9EpmFVuIxiChRsPMXdqPikGBV5/CIVMzBc7m+hyeskeJLBYK5cMKgxYtAoqB7mrrFfJ2X6oK+H64W4XdR3OhO6kz7Y3cvWUvISBxg9+toeKTAPXzt9Er8fPK6tqotbvfG8bz1w0klveiXaNeANBXl1Vg1gEtx5XxJe7m3llVQ3njsrAolNQ3+nkdx9s5y9nDmVqkYVAMMSDn+6JuvjKS9Yw74qxqBVSLhqXxYINdfzxo530uP0kaeRcMzWPkytSSTGoeP6SUcx+cR2tvUeyeaw6Bc/MHkmqQcmdJxQhEonINqtpd3gxa+TUd7jwBgIka+WUpekR9zUIJWnkdLt8vLvxEB0ODya1HJ0ifuObVCxCp/i/Zd84vf5B9wG725fQ+RUMhYWaT7bFH2tsd3hp7/Vyf5wwWQhnUnWd5OUvn+2JEnb6n/umtzfz3V3HsHRXM498Ee0MW1fdwSUvr+O9uRNoc3g565nVkQvLqjYHV762kUsnZHP78UV4/EHuenc73w4YkVTLJbxy+RhGZZnw+ANsrO3kvo93UdPuRCYRcdqwNG4/oTjSVtTQ6eSrvS18vrOJJI2cOZNyyEvWRhqL7G4f7b1e6jqcaBQSUg0qbHolkgGCdafTi8PtRywOi0cKaWymidcfRCIGiVgQj34KEo1p9odFF9p0MWtyqYTxeWY+vWkybXYPvU4nmRYDVp0ShSw8+rlg7nj+9vlevtjVTCAYYliGgQdOLyc7SY1RJY/bFmbRKTi2xIbbG+D5b6vibteEPDPeQJB3N8UvBsg1awd1h+Yla1k6yGjw7qYe9jbaY2rs+/nr4j0U2nTMeXVDTC7etwdaeXVVDddMy+Xl72qi3JOb67p4aWU1H1w3iQKrlqZuN898c5CFG+tx+4LkmNX8/uQhjM9NQqeS9QVGuznc7abTET6vJWsVMe49fyCILxhEKZVEjYQKCAgIxEMQdwQEBAT+R5FIxAkt/UqZhCyzJm6mEITFoTtPLGbO5FxCIdAopFEXCceWWPn6jmlsqO2ky+ljbI6JtL67vgDPXzqa11fX8sbaWno9fsbmmLj35CEUpegQAeeMTGdMjonFOxrDP5+bxLjcJNKM4TyZR86u4Hcf7qCm7yJcKhZxwdgs7p5VglImQS2XxLQ9AUwqSGZivjnhe2LRKsi3xDas9aOSSZBKEn+BNqhktAwSWGxSy9l/lONpIC5fgPoOV0zeTD/bD3XT7vAmbMIJt5Vl88Cnu/H4gzz8+d6o9bve3867107kytc2xtxVr2pzcMfCrTwzeyRPf32QNwfUJXc4vDy8ZC92l48bjimgy+njj6cOwekNUNfhJNusRiUT0+30kZcs5oSyFG58azM7Bgh4ZWl6npk9EqteyTOzR/Ll7maeWX6Qw91urDoFl0/M4aSKcBXyPSeV8LsPd8b8fjccU0CSRs6UwuS4jXLZZjUmtQyrToFFp+D8MZkkaxU4vX4+2NzA+uoO9Co5UrGIQCjExHwzuWYNbQ4vy/e24PEHI21cEHYaGNVyet3+iJDiCwTjjqz14/QGYoSbgfS4/XyVIFfKFwjRavckdK7Vtjtp6/Xyp493xh1LeX1NLVdOzuXt9XVRwk7/dl32ynq+uXM6la29XP7qhqjXfX9zA9sbupl/5Tg8/iDnPrc6Klj70+2NXDstj2un5eMPhvjXVwd4fW1txAVnVMt48dLRjMg04g+G2Ndk5/5Pd7G5tguFVMy5ozO4bnpBRDxq7HaxoaaTj7Y2oFdKuWR8DrnJmoh45PT4ae310NDlQiEVk2pQRUZT++lyerG7/YhFkJTAeeTy+RGLRHGFJYH/fyRiEWlGFRaNlMWLv2VM3knIBgQSZ5s1/P2cYdwzy0swFEKnlEUCyy06CY+cXcH6mg5eWVmDy+fn5KGpnDEiPFpsd/t48Ixy7l0UfQyYXJDMlCILXn8QrUIa9zg5s9yGVCxOOLpZnKJFOci+kG/Rsqk2ceOkRCxiQ01Hwrawt9bXccaItLhjsT0uP3/+dDcPnzWU69/azJYBhQI17U6ufn0jz18yihOG2NjTaOfyV9fTYj/yGTxhiI0/n1GOTa/E7vZR3+nijTW1NHQ6mVJoYWZ5ChkDnEH+QJDWXg/+QAilTDJoGL+AgMCvA0HcERAQEBCIi1wavlsfj39HHLr9hEIum5hNIAQauSTqjmRxig6TRk6KXonT6yfNqMKklmPWKmjocnLDW5vpHFA17w+GmL+2lnyLhovHZTH/ynFcPm89Pa4jX/5nlFq5bGIOcqmYC8ZkxjS6yCVi7ppZglWnwKZXxG2MOrHMxohME2IRccfO0gwq8q2JxSGpRIRendh5opCKEwo78P1V6CIRNHS6El54tNg9dDg8CZ0pG2rCYtzbG+K3Yb34XTXn9FWldzp9WLQKrHoFzT1u2nq9WHQKPrx+Ine8uy1K2AHYdbiHWxds5aVLR/PJtsP8Y+n+qO165It9dLl83DajkFHZJv5xbgWvrqphf7OdrCQNl07IZkyOCaNaxoOnl3Pdm5sjgdcQbnp74ZJRZCapefnS0Wyq7+KFFVUc6nRhUsu4aFw2d5xQRLJWzs3HFTAsw8iKA23saewh3ajimdkjWVvVgVElY1iGgZOGppJn0dDQ5caskeP1B3nmm4MYVDL0SmnCunmNQoJIFBYcTyxLocCqpdPp47Pth8PtRSEigohBJSPbrKbbdcQt5AuEBnUeuP0B1icQ9yAsxL2R4MLW4w/S2O3mgU93x10/0NxLm93Diyur4u7/z31bxQVjMll5sJ3XjnqNLqePi19ax1e3T6XT6eesZ1dHRts8/iDz19axtqqD+VeOIxgKcfFL66LG5z7ccpgrJuVw07GFQIhXV9Xw9DeVkecwqGQ8M3skY3JMIIL9Tb088Mku1td0IpOIOLUijduPLyIjKezca+x2sb6qg/c3H0Ipk3DpxBxKUnQk9wnMve5wW9r+ZjtyqZh8ixarToFigEDR3uuhp088MqplMbXnoVCILqcPkShx+P6vGY1CiibBWJhVr+SUijSmFCTjD4b6WgzDooROKeOMEelMyjfzzf5Wup0+phVbyDSpSdYpCAZDvHPNeK57c1MkvF0lk3DHCUUMzzThDQTj5spJxSLOGZmJVCJKKKAOyzAO6v5MN6loSODqgfBxaOXBxI2Tm+s6aehyRQk7A3nws92UpOiY/dLaqHMcwNLdzWSYVNw2o4hPdzRGWicBVhxo41/LD/DetRMpsulo6XHz1vo6XllVTY/LT16yht+dVMqYXFNkP27ucdPS46HT6SXVoCRZp4i4c/sJBIJ4BWeQgMD/DIK4IyAgICDwoyCTSEhJIA7JpYnHynY29MR86e3n6eUHmVmewrBMI0tumUptu4NOh5dCqw6LThFxBfzmxGKmFFp49tuDtPd6GZubxI3HFJBtViOXSnjzqvFc8/rGyMWnWATnjc7kkgnZqOVS/nDKEO7/JPoCWauQ8sDpZYgIV6nviJMLceaIdHLNGjRyCY44zqJim5YiW2JxSCkVYx3k7qsIosZijkYuEUcJXkcjEYto7fXEFa4gPP7V6fBG3v/WXk/UaFar3UOPy8/GBOLDlrouOp0+/vV17F1tgJdXVnPR2CyufG0jYpGI80ZncvWUPFrsHuavreWfy/az+OYpPPblfs4bk0mKXsnhLhdWnQKnL8ADn+zmyQtHsLm+i/sGjEZ1On08vfwgLT1u/njqEKYVWbnghbVR7pf3Nh/isfOGY9EpeOz84fzmve1sqj3ye6TolTx78UhSDOHmrIeWRLuiAIZnGjCq5Fw9JZfJBRY+2XaYJTuasOgU/P7kIdS2OzCqZZSn67l4fDZKqYS9TT1YdAqyzRpeWFGFXiVFLZcwvdjCacPSCYZCyKVidh3u4bXVNf9W9k28faufECH2N4dHDyViEWaNHJc3EBmDc/kCfJagTQ+gqdvNUwn+fh5/OAvoya8OxM0sOtjSS2OXi8U7G+PmIr2yqoYLxmRyoKWXJ496jW6Xj8tfXc+y26fh8QU565nVkfE6XyDEB1saWF/TwcK5ExCJ4JKX13NwwIjl0t3NnDoslT+dUoZYLGLeqmqeWn4wsq8rpGL+fu4wZpRYkUpE7G608/sPd0San8bnJfHn08spsGoRiUQc7nLx+a4m3t90CIlYxMXjsplWZMHW54bscnpp6fGw8mAbYjFMLrBg1SnQ9zkcw2M34QtrCLv6bHpF1AW0xx+g0+El1Lcer6o7EAwSAqS/0LE2QwJRTKuQorVoyY3jpBSLRZSnG3jv2onhNit/ELNWjkV7RJx7+fLw6PCb6+pweAOMy03i3pOHUGjT4vIFuHZaHs8dNfqVoldywdgsRBDJDTuaKQXJlKYaEv4+aUZlwkw3gEyTOqGwA+DyBjjQ0pvwHPfW+rA782hXE4SdQfd+uIMnLxzBHz7aFRVqXdXm4KrXN/LEBcM5bVgaVa0O5szbENW6eEyxhYfPqsBmUOL0+KnvdPLmujqq2xyMy03i1GFpZJjUkXNMIBCkxe7BFwyikEoSZgQKCAj8fBDEHQEBAQGBnxV7BqnZbev19mV4iEg3qiIjIEdj1io4uSKVCflJ+AIhdEppVNBvgVXLgrnjaXd4cXoCJGnlJGvlaPvyXs4emcHILBOvrKrmcJeLifnJnDUynUyTmk+2Heb244t4Z0Mdy3Y3EwyBTiHlskk56JThLIUXLxvN5a9siMp+SdEr+etZFSRpZFw4NpO318eG/t4zq5Q0o4ocszoykjaQY4qtZJjUqGSSuGM7Fp2C1ASjeAASkQhtgjvt/QS+J/DY4U0sHkH4ojeRsygQDFep9+dd/GPpvph/0+P28dG2wyzaehiFVIxJHc7s6f99O51e/vFF7M8BvLvpEDcck8+d726LeX9CIbj7/e2MyTXx2JcHooQdgKYeN9fO38SnN01mVLaJG48t4LVVNdg9YWfH8UNszJmUi1IqYlZ5Khe8sDbye+5rtrPyYBs3H1eASS3jsfOGc8NbmyMiC4QvJp+4YARmjZznLh7JdwfauXXBlkjr18gsI09eMByTSpZwLA3AqJKRlaSOumgbiEYhxaCUcsnEHEZmmahtd6BXyVBKJTy/ohK5VDzo2JlMIo4Z6RuIRCxiXXV4rCXDpGJougGXL8CaynY8/iC9Hj8LNiauwq7rcPH4l/FdFb5AiAPNdt7b1BA3N+lQp4vKll621HdFCTv9fLKtkSsm5dLh8MaIRx5/kFve2cLSW6cCcO5zq6PaoNZWdXDOc2v49KbJSMQiLnpxbdRn8K5D2xmeaeC5S0YjE4edIUePBt1wTAFXTc5FJZewvrqD37y3LeKQSjUoefTcYYzKNqGQSajvcPL8t5Us6svnOm1YGtdOzyerz5nUZvewr9nOW+tqCYbggjGZlKbpserCn2+XL0Cr3cPBZjv+YIjiPtfSQCdNh8NDl9NHMAR6lTTys/0EgiHaez194pIMeZxxJpFIRGpqaszj/w0GKx04enRYPcAdqpBJmDs1nxOGpPDq6mo6HF5mladyTLGVdJMKnz/Ia1eM5arXNkY5KWeVp3DGiAyCwVDCUPnzxmSSnaQBYhsZIRwIbdMnFuhtOiWHEnx2AcwaBTsauuKKpwBb6rto7/UmbCv7y2d7GJFp5NJX1se4QJfva+UfS/fxh1NKWXGgjZve3hIRqr470Maz31SycO4EytINtNo9vLOhjhe/q6LH5SfNoOQ3JxYzvcQacf8097g53OWiucdDZpIKmy7sDhqI1x/E5Qugkonj7l8CAgI/LIK4IyAgICDws6I0TZ9wLVkrR/EftPokCqQGsOiUWHTxLxz0KhnDMo08fGYZO3bvY3hZLnJ5WPhJN6m4+OV1nDsqk+cuHoU/GCIQDPHB5gbWVLVx0tAURueYWHb7VL470Ba5K1qebiCtT4y64/hiytIMPLP8II09bkpSdNwzq5ThmUb0KhmvzhnDnFc3RF1cjstL4g+nDMGslfPw2UO55Z2tUdssk4j453nDsOqVnFyRwmfbYxtlLp+Ug0WrSCgODEnVY9EqEmYa6foq3UUiEt69juc+GMj3tWU5vf7Ic3v8wRihodvlixvGfGTdz4EEodkef5Bul4/FO+I7V5p7PHQ4fFz9+kaGZ5r461lDkYhFSMQivjvQxuWvruezm6bw+w93xhWw/vX1Qc4blclTyw9GCTv9r33rgi18e+d0DrT08uJ30a6CzXVd/PaDHSy6fiK/nVnCtkNrY1xYV0/JQ6+UcvfMYm54a0vM6+cmazCpZLx42Rhe+q4qyoGjV0p5+KwKzBo504ssLD8q7Dby71Qy8i0aKlvjN5KpZBIyTSpuPb4Yp8fPuuoOTGo5/7pwBOuqO1DKJHh8iQOtFTIxhzpdDEkNu5uMahkSsYhdh7t5c20dYpGINVWJx17sHh/v9OVFZSWpGZVtwh8I8t3BNrqcPmraHMzrC2sXiyDDFG4fO9ztJhSCbfVdrKxsi1vz3e3ysbm2k8Zud1xxdWt9N7v6HHvxMl+eXn6Q6cXJ6JVy5szbEHWB3tjt5tJX1rPklimo5BLOfnZ1VN7KW+vDYvGHN0xEIRVzzwc7+HJAZfiSnU1MzE/isfNHoJZLWLyjkXsX7Yz8HmIR3HlCMReNy0KnlLG/2c5d722POAzzkjU8dPZQhmcYUcgkNHa7+HBzA2+tr8PrD3JyRSpzJuVGxKUOh4f6DhcLN9bj8EhxGzspTtFHxBavP0CLPTwC6vYFKLBoSdLKI3XsEBZ6O51efIFwW9fRQk0wGKK110MoBAa1NG6mUqDv+BrP0TbY6LBJI8ekkVOebiAQDKGSHzkuyaRiRmeb+PzWKVS1Ouhy+ShJ0WHRHnF/vnHlWB78dA9LdzcRDIFNH3bnjctNIhSCi8dnx7QqqmQSrj+mAK1CmtAZNDLbOOg5zqyR4fUnPkba9Er2NCW+AdLr8XO4251wvHfR1gaum57PHQu3xRzDHd4Ad7y7jXlzxvDI5/v4YEDj2eFuN7ct3MZ9pw1h9rhs6jucXPbq+sjYHEBFhoFnZ48i3aTC6fFT2+Hk5ZXVVLb0Up5h4LIJOWQlqSIiT/8+5PYFUcnEWPXKqEy0fvT6xO+XgIBANIK4IyAgICDws6I8zYBJLYtrW7/p2MLI3ee2Xg/tvV48/gAmtRyLTvG9wsJ/ilQsorGuihHlJZHHMpPU2PRK3lgbDoweyDVT87DqlMglYnRKGePzzFRkGDCoZFGB1Mk6BbPHZXH8EBuBYAiFVBwJowbITdaycO4Emu0e2no9pBlUWHTyiFg1o9TG4psn8/LKaqpaHQzLNHDJhBwyTeEvzn88pQyrTslb6+rw9IWTXjUll4vHZ5OsVfDipaO56MW1UdkvKXolT100gjSjkvtOK+Ou97bHvB8PnFGGRafg5KGpfBpntGdmeQpmjZx8i5bK1liBJc2gJEktx6CS0e2K/fvKJWIMKhlSsSihu+T7qta/D7c3mPCuOIDD46fT6WP5vhaW74sNRra7fVFZQAMJhejL34kvHrl9QVp7vQnHng51umjt9fLk1/t56sKRrDjQyubaTpI0ck4blsaBll66XH56XD7+dOoQnv2mkha7B7EIjimxcun4bAKhEGur2ll61J39Href29/dytd3TOO244tYV90RI+AdW2xFp5RyxwnFXP/m5pjtS9KEHW7/umgkdyzcFiWivbW+jqun5JFiUDCj1MZnCQQ0s0bOnMk55CVrePzLAxEX1+hsE/88bxg6Zfizkmi8UCWTopBK+Od5w3B6A6zY34pCKub+08o43OVCIZNwuNvNFZNymFJoiWTuZJs1LNxYj1QqZn1VByMyjVwyIRulTIJELKLN7uGVVTW4/QHe2xy/qQmgocvFJ9vit+EBbK3rYm+TPe4+5g+GWL63hUCIKGGnn9ZeD1/taSbVoIoSdvpZXdnB2qp28i1a7n5/R9RaMASPfLGPYZlGMkwqznl2ddT4XlWbg9kvruOzmyejV8mY8+oG9g4If391VQ0fbz3MhzdMQquQ8sSXB6JylxZtbWRUtomnLxqJQS1j5YE2bn57S8QhJxbBtdPyuWpKHkkaOQdbevntB9sjI5wZJhUPnlHOmJwkNAopTd1uPtrawOtranF4/RxbYu0bndUgEYvodHipbXcwf20dXS4vpw1LY0xOEql9ArnXH6C5x8Oexh663T4q0o1Y9dGZMu29HjocYSehSS3Hqpcjk4TPEVKJGJtegUQkIhgKoZZLI8JOeHvVPHpeBZ3OUnz+IFqllGTtkbG622YUckyxhee+raTD4WViQTJXTMol06QiGArx0mWjuXLexigH2pBUHddNL0AiFpGXrIk7unjmyAxGZptiHu/HNqDVMh5GtYymQQLfVXIJNW2OhO7Kfc12ul2+KGFnIP9cup9ji61cMW9DlLAD4UKA3y/awRPnD2flwTZuHOAM2lLfxdvr6nj9yrFMyDPTavfw8qpqXl9di8sXQKuQcvWUXC4alx0Jhm7scrG/2c7eUCqS6k4KrbrI37+fnj5Xp0omiYxECgj8mhHEHQEBAQGBnxXpJhXvXDOB6+Zvinz5lUlEXDU5j1MqUhGLRVS29HL9m5vZ1xy+OJFLxFwzNZc5k3KjRJIfA5teyetXjOX6NzdH8jrEIjh3VAZXTclFLhVT3+HklgVb2FzbBYRHWc4fncmtxx8Rp0Qi0aAZBla9EmuCdY1CypA0Aw+dVYHLF0AtF0cuWvq38bezSrhiUi4efwCVTIpVr4jcFS1O0fHxTZPZ19RDZYuDohQtRQO+OM8qS+m7+N5PZauDAquWW2cUUmTToVPK+MMpQ1BIJSza2kAgGEIiFnFqRSq/nVVKiiHclnX+C2voGiDQ6RRSXrh0NBkmFQ+cXhbjPIJwVpJFq+DcURm8vSF2tGdcXhImtYwRWca4uRYmtQyjWkaaQRm30UoiFmFUyxJmIvW/t4kCtYGoNqd4+IODt215/MGEeRsQzuT4YlcLS3e3MCk/mZHZJuxuP3/6eBedTh/Hlli596NdDMswcOeJxWgVUiRiEasr27n+zc28ceU4Xl5ZHfe53b5w4PJL31Xz3MWjWLS1gbWV7RjUMs4amYFBJaO5x02X08vdM4t59pvKSLB0WZqe35xYjNMb4ONth+O6o178roqLxmZy7fR8vt3fGhMePjLLiEElY2qhhQtfXBvlHNhY28ltC7fx6Q0TmTMxN2EodGaSin+cV8EfFu2KEtk+2d7IqRWpHD/Exh9PGcLKg23MmXekMUwiFvGbE4vJTlJzxog0ss1a/rp4TzgEu+95f3dSKarvEYiVMjEdgwRiq+VSdjYkdlZIJSI+2ZJYHOp1+5m3qybh+oFmO9/uj++6Ali+rwWtQhp3//YHQyzcWM+wDGOUsNNPu8PLuxvqmFZsjQnUBthU28ninYeZVmhl7hsboz4jwRA8800l5ekGKjIMnPf8mqj36VCniznzNvD+tRNJN6m47s1NUZ/hDzY38MXOJj6+cTJmrZznvq3k+RVH3G1f7mkhx6zmzavHY9bIWX2wjeve3BwlUswqT+GB08uw6JQcbLFzyztbI8dorULKnScWccbwdIxqOU3dLl5dVcP8tbU4vAGGZxr44ylllKbqUMmldDg87Gzo4YUVlXQ4fBxTbOH8MZlkmNSIxSLUcglFNh03HlOAxx/Eplf0tS2Gjw/jcpL4/NYpbKztpLnbzegcE1lJ6oh787UrxvLb97ezqrIdCI+V3TA9n9OGpSGViLlsYjavrY7+G0jEIu6eWUyaUZXQXVmWpic3WRP1/2aNnKo2B4c6XWjlUnwD/nAKqRitQkq3y4c/GEKvlMV1rfXj8AZod3gT/ptv9rXS7vBy13vbY5xB/mCI2xds44PrJ/KPpfv4YPMRAanX4+exLw/Q4/Zz5wlFHOpycdGL62iNiKCV2PQK3r56PHkWLXa3j31Ndh7/cj8HWxzkWzTcOqOIkhQduj6Rp9ftp63XQ4/bh04hxaxVCAKQwP88grgjICAgIPCzozhFF87E6e2766qRYdEqUMmlHO5yccGLawd86QsHAT+1vBKzVsFlE3IQDxI6/EOQbdbw+hVjw5k9Xj9GtZxkjRytUkaL3c2ceRuiMkECwRBvra9DLZfwm5nFP1hts1wqThjAq5BKyEwapBWmL7Po2JLYNZ1KxuicJJ69eBRObwC1XBI1bmHTK3ng9DJuPq4Ah8ePRiGNyvsoTtHx2U1T2FrfyY6GbkpT9IzKMZFmUCEWizi2xMq7cyfw6LJ97Guyk23WcNuMQoZlGjGo5dx2QhEQztDxB0OIROE2tAdOKyfFoOLRc4dxwQtro9wPKpmEly8bQ6ZJzUNnVTBn3voYgeaW4wqxaBVcMy2fx5bt52hGZBkxqWWcWJbCkp2xY216lRRDX2ByvAt4cV+rUqpBSWOCu+d6pXRQcUkpEyMRiwgEQ6w82BbTzCMWhdc213WxOY7AFSIU1xUVWQ+FR3y+2tPCrKEpzJmci9Mb4L2Nh9jXbOe9aydw76KdTMxP5i9nhsfSZBIRB1t6ueu97TxxwXAWxMmL6qe+08W8VdU8M3sk728+xMoDbWgUUs4YkUaxTU9lq4Onvj4Qd6yvw+Glst1JSYqOiflmVvdd+PZzwzEFBINhZ1I899Qn2xu5ZmoeIhEsOEocDARDPLxkL8tum8IxxTbOe2FN1DbUd7i49Z2tfHHrVM4dlRE3UBsgO0nDpILkhGNrSRo52WZ1RHg+mnDDVOLPv0oujeQwxV2XSagb5OJbLZewripx1bdULI66qD6aLpcvxpE4kF0Ndlp6PKQZVVw+MYesJDWBUAinN8Cba2v5dPthupzeuAJYKAQvrKjkwnHZbKnroiRFx8zyFBRSMVvquvhqbwtPLT/AlZPzeH5FFRq5hMmFFpQyMdsPdVPd5uCVlVVcPD6bq9/YFOOOWrKziRFZJk4emsL5z0c7E3s9fu77eDcWrYIxuUlcO38zW+u7Iutb67s557nVLJw7gQKrNsa5tLuxh9fX1PLhDRNJN6n5am8LN7+9JeoYk5es4Y0rx5JmVHGgtZfLX92AViFFr5Ty0spqJhck86dTh2DVK5GIRZw2PI3LJ+XiCwQRi0CMCJEo3Bw3d2oewzKMvLKqmuYeD8MzDNx0XCHZSWrUcikvXjqaK+ZtiBK3Mkwq/nDyEFRyKReMzeSEISnsaOimqdvF8UNSSNLIaeh0UmzTkZWk4sZjC9HIpXQ4vKQYlFS29vLRlgZMgzQ+qmSSSEh4PKRiES12T8LjW1OPG7vbx4cJnEGvr6nh0gnZzH19E612D8laOVadkuYeN809Hq6bv5m3rhnHt/tauX3htshrNvW4WVW5hkfOqeCM4Wl0OHz8dfEePt1+mGAo3DR5fKmN+08vI9WgIhgM0dDlYvm+FjbWdFCWZmBmeQqpRiVyiZANJPDLRRB3BAQEBAR+liTKxNnfbI8Sdgby1NfhNq1EOQw/JGatIq5LqLHLHTfsFeCNtbVcPjEnUuf8c0enlEWJOgMZrAYZwg6sdJOKkyvS4j7vmNwknr9kNC6vH4VUEjUSYdUp+cMpQ7h2ej52d794dCTPI8+iZdENk9h9uIctdV3kWzXhkQ2DErFYxJhcE5/cOJnHv9rPjkM9pBlV3HJcARWZRnQqGRePywLg+W8rcXoDiEUwsyyFP5wSvvC695QhVLc5otwNOoWU168YR5pBxcNnVXDuc2tiQpvvOrEYq07B708q5ca3YzNxxuYkYdbKmTMph6eWV8asm9QyTBo5M8tS4o41iUUM6lwC0CsHD1wOB8/K6HL6+GjrYT7aGu0ikUnEyCTiuMJS/7ozTpj3kXURKw60saqynZMrUrl1RhFuf4DPdzbx5FcHef2KsewYxNni8Qe554PtXDM1n9njstlUG87xGZ2TxLLdTRxsdcQNI++nqtXBiyurEq7vONTDZzsa44pLHn+QTbUdjMlJijtaODLLhEEl49xRGby78VDM31+vklJk03DF5NyYsbh+ytMM6JQy1iYQYAqtGk4blsrmuviNdGlGFaNyTGysjb9uVMlJNyU+/qnlEhSyxO4ztVwa1/V2ZF2M1x/kvtPK+NuSvREHV7JWzm0zipCI4dv9iTOTZBIxi7cf5tHzhtHe6+WjrQ04PH4mFyTz6uVj+GJnI4u2NnD99HyGZhj4cnczvZ4Al03MwayR8/HWBpbtbk44WvnZ9sOkGpRRws5Anvu2kiSNIkrY6ScYCgcS/+XMcl5fW8v0IgunDktDKZOwv9nOOxvqePDTPfzptLDzMM2o4uShqeiUMvY29fDFrib+uWw/t84o4qIX1+H2BajIMKBXyvAFQny2o5Ess5rLJmRz+avrY3K5AP5yRjmzylN4aPFedh3u4fThaRjU4TG3i15cx78uHMHY3CTaez08M3sk+5rsNNs9lKbq0Mil9Hr8pBpUnFSeylWvDRwLq8emV/DWVeOx6BQ8fv4Ibn5nS2QsEsKjkU9eOAKNQkqSRh5XoCtN0SUsMgC+NxNPIhbR4fAmzGzzBcLidCAU4l8XjsDlC1Db7iTHrEYhFfPIF/vodHj52+d7ueOEIsrSDPS6fWgUUvY02nn0i31Myjfz0JK9UaPDoVC4Uc/tC/DURSOo73Bx/gtrI+7Cj7c18s9l+3n9yrGMzk6KNIY5PX6c3gBKuThSuHA0/kDwex2dAgL/LQRxR0BAQEDgF8WeBHknEB4rGCzM9b9B7SBNKB5/8Hvbpn5NHJ1FNBC1Qkr2IOJRmlFFmlHFjCG22J+VSylLN/DY+cNxeAIopOJIkw6EhbnrpuVx9sh0ej1+VDIJ5gFtaelGFa9fOZa6Die7D4fFoZIUHakGFRKxiJIUHYtvmcJb62pZU9VOmkHFNVPzKLBq0SikTClK5rmLR/LgZ3s41OlCKRNzwZhMrp1WQJJGwWUTc2jocvHhgPGcVIOSVy4fQ4peyd2zStha3xUTivq3syuw6BTcf1oZZz+7OiYUeGZZCladgntmlXBdnMycNIOSZJ2cqyfn8fc4TWVyiZhkrZyzR2bwVl9o8dGYNXKmFSbzdYJAZoNKRmmqnh0N3XywuSHGJaKWS7DpFQnHOpRSMWKRiL98tgetQkppqg5fIMTzK6oIBEPMKLXhHkxckooiDVXxkEhEgx5DQsB9n+zizhOLqGp18OXuZiRiEScNTcWolrG1vovVlW08PXskz31byfrqDkQimJhv5popeWyt76bF7uF3J5Xyz2X7Ii4cpUzMXSeWcLjLhUwi4rhSK18dlaszvdiCWiFlaIaBzCRVTKaJTa+gJFVHgVXLa6trYhw+ErGIMTkmKjIMvLcpfm5QRaaBigwjX+yKLz7lJqspSdXFbNuRbVAyrcjChS+uixq7a+v18vtFO/nguonUdcQP84WwKDyzPIXnV1SxZoAzq6a9jk93NPLmVeM42GxnU10X180/sg9/saspPCp6wXAWDtLGplPK2FofX/iC8LHhuwOJx9qCoRCrDrbxzOyRbKzp5IFPd9Pt8jEyy8T9p5WzprKdtVXt3DOrBLVcyvubD9Hh8DI628TLl43hjTU17GnsYWZ5CscPsfHVnmbaer2cOiyV244v5JnlB5leZIkr7AA8+dUBRmQZ+aRPmHjsqGa5P368k3lzxnLrgq0EQ1Bk02JSy/l8ZyPNPR6GpOp59uKRXDd/U0zjXHOPh3sX7eDv5wzjpre3xBxfNtZ28sRXB/jTqaU8eu4wbnxrc5QDJ9Wg5Hcnl6JXyZhcYGblwWhnHcA5ozJINSgTBkonqeUJbxhE/gZBeOC0Mu58b3vUjRybXsHfzxmG3eXjobMqePabgzy69IgDc1S2iYfPrsDu8SfM/FpxoI32Xh83vr0lZmzU4w9y3fzNfHbTZIzq8Hja08sPsutwD9lmNTceU0CRTYdeJSPQ5/z5YlcT66s7KLRqOXtUBulGVST7r6nbTWVrL9sPdZFj1jA0wxA5h0A4cLyt10NjlxuTRo5Vp4gaxfb4A7T0eLC7fajkUswauTBWJvC9COKOgICAgMAvikKrLuGaQSWLGlPy+oP4AkFUMsmPPqrVT8YgdzXlEnFUILAvEMDrD0VCXQV+WLQKWcK7rXKphAxTYgeVVafEqlMyOjspZk0qEZObrOGumcU43AHksui/q0ElZ2Z5KiOzTDi9AWQSMRadIrJvWnRK7jutnJuOLaSx241eKcWiU5LSV2OflaTm3WsnsLmuky93N2PVyjhnTDZpRhUquZSSFB2f3TyFx5btZ01VO0lqOVdPzWNGqRWDWs6EfDOPnFPBQ4v3RPJ9JuQl8fDZFVh1Ks4bk8HOw91Ro2cqmYQXLx2NRafg+mPyWXGgNequPsB10/JJ0si5e1YJq/qqzwcyPNOIRafgnpNKuOjFdTHvm1EtIzNJxQ3HFPCbOIHdYlF45HH2uGz+uWw/vR4/G2qiL9Qzk1TMLEth/rr44lOKXsWoLBOf74odq4O+KnmzOqE7RSWTEArBdfM3MzTdwIR8M8FQeKzyYEsvj55bwYGWXu56bxvnj8lizqQcALbUdXHLgq385oRiPtp6mDSjiicvCDsPRITrud9eV8e0YgsfbmnglIo0zhyezjf7WwmFQkwrstDa62FzbSerK9t54LRyvt3fyuI+l9EJZTZOLEthTWUHla29PHnBCP6xdF9EJMhKUnPnCUXsaQwH4v52Zgn/WLovkv8kEsEl47MRhUS4/QFOGGKLcReVpekpSdXj9QfjNqbpFFKmF1tZdbAt5sK4n/lra7h8Ui7PfVsZN7dqVJYRiVgUJez00+X08e6Gek4fkc4tC7bFrFe1OfhqdxMT8szMXxv/769XSikY5Bwhl4pJ0iQOJJZLxQzNMPDI5/uj3FOb6zq5/s1NvH7FOHyBAJ9s74gSLqvbHHy6vZHXrhhLh8NDjlnNVa9tjKwv292MRafg2dkj2dnXYBYPlVzCtkOJ133+ELsauiPv7dEiUUOXi6pWR8KxqM11XTQO0qb1xa4mrp2Wz2Nf7ufxC4ZT3+GioctFoU2LWibh1gVbefnS0Vw2MQeDSs7nu5oipQDnjc5kWKYRMXD78UUxo41iEdw9qwStQpowUDpcQCDl9oVbYxy6zT0e/vLZHp66aASPfLE/5tiwqbaTZ7+t5LczSxI6gwB6Pb64NfcQHg3tdvnY12zninkbIu9zdZuDb/a18uAZ5Zw7KoODrb2c//wR58+y3c08v6KKFy8ZxZRCC409bi5+aV2Ug1KrkPLmVeMYmm6gxe7hng+2R7UWZpvVvHL5GPItWtp6PcxbVcNLK6siIu60Igt/PXPooM48AQFB3BEQEBAQ+EVRmqZP2KZ17bQ8bDoF3S4vNW1O5q2qoanHzfRiCycNTSXDpIq0nfxYpBtVZJvV1MZxJpw7OoNkrRyHx09dh5PXVtdQ2+5kTI4pctdPsHf/cpBJJBg1ifMZEgViwxHXUp5FG3e935k0c4iV9evXk5ukRNZXFS2XhsNc/3HuMOxuHxKxONIwA+Hcn7NHZjC5IBm724dcKiFJI8OgCl/UWnRK/nrmUG6bUcSuxm6MajmFVi02nRKZVEyGSc3CuRNYU9nOp9sbMallXDIhm5xkDQa1HLVcyic3TebRpfv5dn8LOkV4/bzRmVh0ShQyCf+6cAT3f7IrElhcnq7nsfOGY9OrOKbEyoVjM6PGqxRSMU9cMJxkrZxzR2ewZGcjexqjc2tmj8siWavk6ql5fLK9MSZbaEhqeGTklhmFLNsTO7qjV0kptOq4+bhC1lbFik9iEZSlGbhmah43vb2FHQ3dkSrxfopsOs4bncn9n+zm6eWxrWc5Zg3Hldp4evlBvt7bEhlT6RfCzhmdQXmanr8u3oNBJWNsblg8/OPHu+hy+vjrmeVoFFKufG0D04ut3HBMASIRrOoLiL5nVjGNXW7+/NluLp0QzrwJhaDV7uHJrw9y+rA0NtR0oFFIef6SUTR0ufAHQuQma/hyTzPrazrYfbibyYUWZg1NZemuJryBINOLrKgVEr7Y1cShDhe/P3kI3+xr4ZNth/H4gxxTbOX8MZks39vM9kHG6sQiEasPtvHgGeXc/8nuKAHwrJHpWA1KPtmaOFC6vtPF4gSuC4CNtV1ML7ElzLU6Z3QmNl043PjosTmAY4stjM0zIxIRVwAoT9MjQhR3LC4Ygqe+PsDvTy6Nm1vk8gV47tuD/ObEkrhtc612D2+sqeWUYakJf79gCHTKxJdnYnHYXZYIpUw8aOaWXimj2Z547E6jkNLQ5WL7oW6ufn0T2WY1Zo2CT7YdpsXuQSOXUNfp4sa3tnD2yAyenT0ykou2ZEcTv/1gO/PmjKW+08Uzs0eycEM9dR1OCm06zhudwYebGyiyafnTqUO4+/0dNPUc2ZawQFlMrzcQV/iBcJtXIBhiTVWsOAiwvrpj0EwrYNDA+35+8972uOLknz/dzdTCZG59Z2uMwBkIhrjp7S0svW0qv31/e8xobK/Hz5x5G/js5vCxc/lR7sfadieXvbKeD6+fxNvr63jqqOPLt/tbufr1Dbx2xdi4I+sCAiCIOwICAgICvzDSjSreuWY8V72+MTK2IBaFL/zOHZWJyxdgwYZD/HXxnsjPrKlq59lvK3nv2okUWONfTP9Q2AxKXpszlmve2Bh1V/WUilRuPq4QkUjEsl1N3Lpga9T2vfhdNQvmjqciw/ijbp/AL4tQKERra/wxksFyjyRiUV8zT/y7vCaNHJNGTlFKfJdDmlHF2aMyOGVYKhKxCKn4iOgok4opsul49LwK7G4/IkRYtHIkfcKkXinj5KGpjM4x0eX0IZOISdLISNKEBahkrYLfzirlqsl57DzcjUYhpdimw6pToJBJUMmlvHr5WLYf6uL9zQ1oFRIuGpdNbrKGJI0ck1rGxzdO4sUVVXy+qwmFVMLscVmcOTIdm0GJQS3j7avHcc8HOyO5OaOyTTx05lBSjUrUCgl/PHUIDy/eGxld0cgl/PP84Vj1CsYrkjhpaAqLd0S7f+ZMzCHdpCJZq+DNdXUx2VrDMgzkW7VkmtXMX1tLt8sXJW4kaeQMyzBSkqJj4cZDdLt8LBvgnpGKRYzLTaIszcCn2xv5em8LX++NHo8akWmiJNXAxS+t4y+f7eFoSlJ15Fu1XP/mZpbsbIrUfTf2uAmF4G9nDSXTpOaeD3dg1siZUmhBq5Dy4ndV1HU4uWdWCfo0GVe9toFjSqzcNbMEuUTM+poOrnljI3Mm5VJo1UZt90DUCilNPR7WVHXw1EUjabW7cXoD5Fu0rK5s57NtjUgHyWVRSMU4EriC+te/3NPM386u4KXvqvjuYBuhUPi8cNNxBVS29FLVaufxC4bzuw92RLJ3xCI4Z1QmGUlq9hzu5t6TS3nwsz1RAk+xTcfJFWlxs6b6sXv8CfOSIHyBvrW+K2Hb3obaDq6ZlodeJaXHFft7HlNiocCqRS4Rx4xVAZSm6ClO0SVs9DOpZZQk+ExDeB/LNid2LAaCQawDhOLadmfUjQp/MIhOKcXjD/LW+rqY8U2pWIREJGJ+X7j2qRVpjMoxcajTxc1vb8HtD3LJhGzu/Wgnv51VQjAUHm/KSlLjCwT5zXvbePKCEQm3D8J/g+9jckFy3L/jiEwjGrkUnUIa93mkYhEefzBhrp/HH6TL5YvbFgjhNrFuly8mDL6ffmfQogSB0oc6XXQ6vLywIn5u2O5GO41dbkHcEUiIIO4ICAgICPziKE7R8/61E2lzeHF5/SRrFZj72qqqW3t5aEnsRU+X08f9n+zi6YtG/uhz6znJGt66ajztDg92t58kjZzkvhrW+g4nd78fO5Li8gW4Y+E23r5mPMk/cp27gMC/y2DNboONvYnFIlINqoTh5v3OpfwEYmuKQUmKIYVjS62IEUWNVYpEIrLNGv5w6hBuOq4QkQjMGkVktFEpkzA218w714ynx+VDLA4HDfeHdhvVci4ck8nxpTYOdbqQSkSkGZRY9ArkEglquZQ/n17OtVPzWbKzCZlExMyhqaTplRj7nuONK8fy9d4WFm6oRyIWcdG4LCYXWEgxKAmFQiy6YSL/+GI/n+9qQgScXJHKbTOKyExS4/UHmH/VOO58d1tk9C3dqOIf51aQYVLj9Qd58Ixy7vt4V8RlIBGLuOvEYvKtWgLBEOePyYxpBDuuxMqwTCOhEJHQ7YH5Q5lJKiYXWQAizpdFW49cZKrlEk4osyERi3l6eSVf7WmJyt4R9QWPa5XSSAbS0UwpTCbDpGbWE9/x7f5WkrVy5BIxTT1ugiG4/7QhVGQYeSvBWF2uRcPE/GTeShCabdUrGZZp5Ma3NnPemExmj8/G3xfC+8aa2r6xvVQe/3I/954yBIVUjLPvHPHVnhZeX1PLyUNT2VrXxSuXjWFDTUckUycYCvGvrw9wbElsjlc/UrGIwcyVcqkYV4KRKACNXMqBZjv/PG84d723PSq0eEK+mRklNmrbnNx/ehm//3BHlICTolcyd1oerXYPV0/Ji6qKh/DY760zilHJJZw5PI0P4zikfntSCal6FaOyjWyq7YpZv2xCLqkGZUL36bElNlL1SswaedzQ6pJUHSkGJRq5hC5nbPNamiE87trS4+HWBVsxqGSYNfK+ynI/ur7mxf7GwKORikUYviezB+CKybl4/IGo0a2KDAO3zihELIYbji3g4TiNeJdNzOH7zL2Jwrz7cX1P7p/DExjUPWT3+BOOPQJUtvZSkWkc9DUEfr0I4o6AgICAwC8Sq14Zd+xlXXVHwnn77w600eX0/ldCCZN1CpJ1sSJNVVtv3KBJgAMtvXQ5vIK4IyDQx0DH0NEopBJs+sTik0WniBpXG4hKLiUzSUpmgua6/ja8RBdRqQYVs8dlc/LQVESAYUBgt0gkIjdZyyPnVPD7k0uBcNaPWnFkrG58npn3r5tIl9NLCDCp5dj6jmcKmYSzRqYztTCZ/S29BIMhilN0JGsVEafW3TNLmD02iw+3NOALBDljRDo5Zk3kmPPc7FGsONDKG2tr8QdCnDUynZOGpva5uWDh3An86+sDLNpyGF8wyLElVn47s4RMkxqRSMSCueO5fcG2SKV7il7JX84sp8CqRSIW8eIlo7jp7S2RbBeJWMQN0/MZnW1CIhbz+5NK+cviPZGxPIBJ+cnMLE9FJhZxzsgM3tscHfqcblRx4dgs5FIxY7JNbDiqEUwlk3Dl5Fy0SilGtZyXvqvmpe+qB7zvcN+pZaQalfzpYze3LdiKVCxCJhFHRrQeP384o7JN/OnjXXy2o5FhGUbUCglLdzXT2uvh9uMLmVqUnHBsqzRVx5RCCxB7A6H/dxifF5vT1Y9WISXbrOG37+/gT6cOIRSCTqeXDJOa/c12Hlqyh/tOK+P9zYd45fIxrK1qp7nHQ0WGgRSDkoeX7OGOE0qQSsQ8fv5w3t98iOYeN0PTDZw+PJ0XVlTy0FkV/O7kUoakGXh+RSVtvV6KbFp+d1IpI7NM6FUy/nXhSP786W6+2NVEMBQe57pyci6XT8ohWavg1cvHMGfehiiBZ2xuEn88ZQg2vZKXLhvN7JfW4RwgZFm0Cp44fwRpRhWPnjeM697cHPUeyiQiHjt/OClGJXeeUMxfFu+h2+WLGiP7w6lDsOgUXDQ2kzfi5CpdPikHs1bOjFIrX8YJ/T6m2IJBJeP+T3YzrcjKddML6Hb50CulHGzp5YmvDvCvC0cQCIZ49NxhvLKqmgPNvWSZ1Vw6IRt/IIhBJSPdqIqbS6SSSTCp5SRr5VH7dj8SsYgkjQy9UkqPO75AY1BJE44NQjjbSiYRxQTm95M2SK6fgIAoFBoscurnTU9PDwaDge7ubvR6/U+9Of+z+Hw+Fi9ezEknnYRMJqS0C/x3EfY/gf+U19fU8MePdiVc/+bO6eQka/6t5/ox9r8v9zRHBW0ezRe3TqV4EFu9wK8L4Rgo8H+hy+klGAphVMljQuVdXj+dTh8hwkHER7cYtfV66Oj10tNrJz3ZSIrhSGaZzx+kxe6mvtOFxxcgJ1kTJT7Z3T6aezx8ubsZu8fHcSU2spLUEfGpvdfDniY781ZVY3f7OXVYGseUWCM12809bj7a2sDra2qxu/1ML7Zw87GFZJvVSCViDnU4efjzvSzZGQ70zbdouO+0MkZmmVDLJexv7uX6NzdHxvKUMjG3ziji/NGZaBVSNtV1cuW8DVHBwzPLbPz5jKFoFBI+39nEHe9uixIn8pI1zL9qXGSM7V9fR2ei6FVSPrhuEmaNnD99vJOPt0VnB0nEIhZcM56cZA3Xzd/EhppOtAopGoWE9l4v/mCIpy8aweicJC56cS3VbQ5GZpkwqmVUtjqobnPwmxOLOXNEOmc8vYpgKMQpFWmY+tY/39nE2SPT+eNpQ1DJpASDIVrtHvzBIAqZJOamQa/bT1uvB5cvgE4hxapXRhUSNPe4ae5x09brId2owqJTREYr/YEgjd1u1ld3cKDFzvDMcEtbv/Dg9Pqp78uVO9DSS0WGkdnjssgwqZBLJXQ5vWyp6+Kfy/ZT2+6gwKblzuOLKU83oFfJaOv18Pa6Ol78rooetx+DSsa10/I4d1QmyToFTd0u7vt4N1/sbiIUCgt7M0qtPHB6OakGFXUdTua8up7KVkdkxC0zScXrV4wlN1nLvqYebl+4jVnlqaSbVLT0uPl0eyP3n1bG8EwjG2s7mP3SuiiBRSSCJy4YwYlDrHy1tzVurtLNxxZwzdQ83tt8iPs+3h2zPmtoCn89cygvrqjimW8qY9bL0vTMmzOWfyzdF+PMg3Bj2KIbJiV0RAr88PwczsH/ieYhiDsC38vPYacW+PUi7H8C/yn7m+2c8NiKuGsVGQbmzRmLUibmcFf44qG23cGxJVbG5ppj7oj9GPtfbbuDYx/9Nq61O8Ok4v3rJmJSy2jocrN4RyP7mnqYkJfMlKJk0o0/fiC0wM8L4Rgo8FPyY+9/bp8ffwC0cUKEg8EQrb0eQqGw+KQ+Kl/K4fHT4QiLIlqFNMal1Wr30OHw4vEHSFLLsfRlOkFYnGjqcVPV6qDT6aU0RY9Fr8DU58Byevw09rhZurMpHMpfYqU0VU9Kn7uqy+nlQEsvL31XRavdy/RiC2eOSI+E9rfaPSzf18Jz31TS5vAwJieJO44vIs+iRSmT0NTt4rlvK3lnQz1uX1h4+P1JpUzIN2NQyanvcPKb97ZF8n0UUjFXT8ljzqQczFoF+5vtXP7K+qjWt+lFFh4+uyLSuvdzwBcI4vYFUMkkccsC+v8+KpkEozq6xcwfCNLc7aa1swuLyUiKQRnJ9QLocflo7/Vg9/jRKWUxVeEtPeFWsNoOJ5kmNRkmVcQdF+rL+llf3cGWuk5KU/VMKbSQalAilYjx+gPUd7qYv6aWbYe6yLNouHJyHllJajQKKb1uH3ub7Pz9i33saeohw6jmlhmFjM0xYdIo6HR4+XJPM/9Yuo/mHg9ahZTLJ2Zz6YQcrHolrXYPz6+o5PXVtZFspSmFyTx81lDSTWqaut389v3tfLP/SN5aulHFq3PGUGQTbv78N/k5nIMFcUfgB+XnsFML/HoR9j+B/5Qup5dHPt8bk9kgl4h577oJFNp0LO0LNB54BrTpFSy4ZkKUq+fH2P8cHj+vrqrmH0v3Rz0uFsG8OWOZmG9mTVU7V8zbEHXX0KCSsXDuBMHV8ytDOAYK/JQI+9/guH1+vP4QGoU0kvk0kFa7h0AwhEYhiXFGef1BWns9+PxB1HJJzJhxl9NLu8OL2xtAr5Jh1SuiMrCausPOmg6HlwyTimTdEXHqf4Wfev/zBQK4vEGUMkmUq6mfbqcXpy+AQiIm6ShnVCgUornHg9sXQC4VY9HJkUmO/P3cvgAtdg92lw+VXIJZq8AwQJzqdHhp7fXQ0OkiSRMe2/w5CXe/Fn7qfRD+M81DyNwREBAQEPifwqiWc/sJxUwtsvDMN5W093oZl5vE9cfkk2VW09Tl4Y6F22LyFJp7PDzw6S6euGBEzJfwHxKNQsrscdlUZBh58qsDHO5yUZFh5ObjCshN1tDc4+H6+Ztj5u27XT5uW7CVN64ci1nI5BEQEBD4yVHKpAx2ukiU+QTh8OX0QfJTjGp5jJtlIOHQceFi/8dEJpEgUyXO9TKo5RgSrIlEokH/PkqZhKwEmV8woNFQcOoI/AcI4o6AgICAwP8cyVoFM8tTGZdrxtdX3aqShU95W+s7EzZVLN/XSqfT+6OKOxD+0ja1yMKwDAMefzCq0rr+UHfCqtfdjT10Or2CuCMgICAgICAgIBCFIO4ICAgICPzP0l99PBB7ggYLCLej+PscM6FQiHaHj/yho+jxBDD/CHZcQ5y7sokaNPrx+o8IU612N/5gKK4lXEBAQEBAQEBA4NeDIO4ICAgICPyqGJVtSriWb9GgU8potXv4fGcjz31bRYvdTUWGkXtmlVCaqo84bH4scs0axCKIZy4ya+SY1DI6HB5W7G/jia8OcKjTSZFNx90zSxiWacCg+t/KXBAQEBAQEBAQEPh+YpOhBAQEBAQE/oex6ZWcUpEa87hIBH8+vRyZRMRfPtvNHz7aRUOXC18gxKbaTs59fg0bazp+9O0za+VcOTkv7tqfTh2CVinlxRXV3LpgK9VtDnyBELsO93DpK+tZtruFQF/zhoCAgICAgICAwK8HQdwREBAQEPhVYdLI+dOpQ3jg9DLSjSoUUjHjcpP48LqJDM8y0tLjYdHWwzE/FwrBHz7aRUuPO86z/nDolDKunZbHY+cPIzdZg1wipiLDwFtXjeOYYisdDi/Pr6iM+7N//nQ3zXbPj7p9AgICAgICAgICPz+EsSwBAQEBgV8dFp2SS8ZnM7MshUAwhEouibSSbDvUlfDn6jqc9Lj9WAc0UQaCQSTiH/ZeiVmr4MwRGUwpsOALBFHIJCRpjmxfgjxoul0+Op1e0gY0sPwY2ycgICAgICAgIPDzQhB3BAQEBAR+lYhEIqz62JpS7SCZOiIRSCUinF4/h7tcvLfpENVtTqYWJjOt2EKGKXGt6f8PyXFqdFXyxLWsADKJGK8/QEOXi4+3HmZ3o53R2SZOLLORblIjEYt+0G0UEBAQEBAQEBD46RHEHQEBAQEBgQGUpxuQS8R442TXTC5IRq+UsnxvCze+vYVQn4Pmi11NmNQy3r12IgVW7Y+6fakGFQaVjG6XL2atyKbFrJGxoaaTy19dj6+v+euLXU089uV+3rlmPBUZxh91+wQEBAQEBAQEBP77CD5tAQEBAQGBAVh0Cp64YDhHG1ysOgUPnF6OwxPgtgXbIsJOP51OH7/9YDtdTu+Pun1WnYLnLh6JXBJ9CterpDxxwQg8/hA3vLU5Iuz04/QGuPntLbTYf9zMIAEBAQEBAQEBgf8+gnNHQEBAQEBgAEqZhOnFFpbdPo1Ptx2muq2XacVWxuaaSTeqWLqrKa6rB2BjTSedTl8kv8cfCOILhFBIxYh/oHEoqUTMqBwTS2+byhe7mtjTZGdcThJTCpNJN6nYWt9FlzPW1QNQ0+6k0+HFqguPowUCQbyBEHKpWBjXEhAQEBAQEBD4BSOIOwICAgICAkehkkvJt2i5YXoemzdvZkS5DZlMBoDTFxj0ZwPBEA6Pn7oOJ2+sqaWuw8n4vCROG55GuvGHybyRSyTkJGuYOy0/Zi2R8NSPLxDC4wtQ3+ni7fV17G3qoSLDyLmjMshIUiGXDJ7pIyAgICAgICAg8PNDEHcEBAQEBAQSEAqFaGxsZMSIEZHHytMMCf99ZpIKrVLC0l1N3LZwW+TxlQfbeO7bKhbOncCQNH3Cn/8hSDWokElEMWNZEB7dMuvkrK3q4IrXNhDoq91adbCdl7+rZv5VYxmTk4RIJLh4BAQEBAQEBAR+SQiZOwICAgICAv8BFp2C2eOyYh4XieDBM4bi84e4+/0dMeu9Hj+/eW8bHQ7Pj7p9yVo5tx5XFHftT6eUEQyEuPmdLRFhpx9vIMjNb2+luefH3T4BAQEBAQEBAYEfHsG5IyAgICAg8B9gUMm4/fgiRmWbeHr5QZp7PFRkGLhrZjFFNh1rKtsTjkbtOtxDl9NHkkaB1x+g1e7FGwiikomx6ZU/iGNGLZdy0bgsilK0/HPZfuo7XBTatPzmxGLK0wxUtzniNm0BNPW46XB4STEo8QeCtNg9uH0BlDIJNp0CiUS4JyQgICAgICAg8HNEEHcEBAQEBAT+Q8xaBWeNzGBKoQV/MIhaLsWgCmfy+L4n8yYYDNHS4+blldW8sbYWpzeARafgzhOKOH5ICkka+f95+0waOccPSWFklglvIIhSKsHU97xHO3aOJhAM0mb3sHBjPc+tqKTH5ceolnHdtHzOHpVBslbxf94+AQEBAQEBAQGBHxZB3BEQEBAQEPj/xKKLFTqKU/SIRMRUpQNkJalRySXcu2gnS3c3Rx5vtXu4+/0dOLwBLh2fjfQHcsiY4wgxFp0CpUyM2xcrQulVUsxaBf/6+gCvramNPN7l9PHQkr209Xq4bUYRaoXw9UFAQEBAQEBA4OeE4K8WEBAQEBD4AUnWyrl+ekHM42IRPHTWUBzeQJSwM5DHl+2Pyrzx+oP0uHzf6wb6T7DqFNx78pC4aw+eXo43EGT+urq46/NW19DaO3D7AvS4fHj9P9z2CQgICAgICAgI/OcIt94EBAQEBAR+QHRKGVdOzmVklpF/fX2Qxm4XwzNN3HxcAXkWLSv2tyb82R63H7vHR69HRm27g1dWVlPd5mRktpGLxmb9IFXlCpmE04alkm/R8sRX+6luc1Bk03HrjEKKbDoOtPQmHN3yBUJ0OX3Y9AHqO5y8trqG3Y09lKTouHxiLplmNSqZUKUuICAgICAgIPDfRhB3BAQEBAQEfmCSNHKOK7UxKtuExx9EI5egVYYzeUxq2aA/q5ZJWba7mdsWbI08trmukzfW1PLW1eMZlW36P2+fXiVnQr6ZsrTRuHwB1HIJur7t+z5xRqeUsu6oKvXNdV28s6Gely4dzdQiyw82ViYgICAgICAgIPDvIXz7EhAQEBAQ+JEwquXY9MqIsAOQYVInDE2eUphMiBC/fX97zJrHH+SOhVtpsbsjjwWDITz+AKF4AT//BnqVDJteGRF2AMwaObnJmrj/vsimRSoRcdvCrTHunmAIbn93Gy32I2NboVAIj+//f/sEBAQEBAQEBAT+PQRxR0BAQEBA4L9Iil7JvDlj0CujzbO5yRoeOnMohzpdeBJk2NS0O+l0+HD7AhxssfPw53uZ+8Ymnl5+kNp2B/4fIJvHqlfywiWjsBwVxmzVKXh29ih6XH46HN64P9vl9NHW68HnD1Ld5uDxLw8wd/4mHvliH1WtvXj9gf/z9gkICAgICAgICMQijGUJCAgICAj8FxGLRZSnGVh8yxR2H+6htt1JebqBPIsGm15JVZtj0J+XSmD1wTaufmNTxD3zzb5Wnl5eyYJrxlORafw/b2OhTcdHN05if7OdA829FKVoKbLqSDWq2HGoa9CfVUjFbDvUxeyX1kVEqm/2tfLiiirmzRnLhHwzErHo/7yNAgICAgICAgICRxDEHQEBAQEBgf8yYrGIDJOaDJM6Zi03WYNMIsIXiB1lSjMokYjE3PxO7FiUyxfglgVbWTB3PFadkv/X3p2HR1WejR//zr5mJntCCPu+r4oguFZcK1bFjeJutRXXt+/bav1VbH3VqnVpqVsV1LqAG9QFQZQdwk4g7CQhhOzbLElmnzm/P0IGhpkBXqRG5P5cF9dVz33OmWcyd5OcO89zPwAubwBfMBLTU+d45aWayEs1cV6/7JjjGVYDNqMWty8Ud02KQYtRq+HWD9fHzT4KRRTu+3ATX90/gbxUEwDNviCeQBijVo3dnHipmhBCCCGEODZZliWEEEL8iGRY9Tx62YC44xq1imcnD6Wu2UeLP76wArCvoRVHaxCnJ8Cq4gbufGcDP//7Sn7z/iY2lzto8QW/9/iyUww89YshCWNPXjWY1kCIapcvYdzhCVLf7KfFF2RzuYPfvL+Jn/99JXe+u4FVxQ04PYmXewkhhBBCiKOTmTtCCCHEj4hZr+XqkfkM7GRjxuK9HHB4GdLZzr3n96ZbpoXN+x1HvV6jhrmbK3niix3RY3XNflbsbeAfN43kksG532tZlFaj5rz+2Xw+7WxmLC5mT20zvbOtTLugD72zLOxr8Bz1er1GzdI99Uz7YHPM+Ka8uZbHfz6QG8/silG2UxdCCCGE+D+R4o4QQgjxI2M36RjTM4OBeTZ8wTAWgxazvu1Hdn66Ga1aRSgSv2wrw6JHrVLxzNe7Et73sXlFjOiaSl6qCacnQENLgBZfEJtJR4ZVj910fEujrAYtQ/NTefH64XgCIcx6LRZD2/jSLTpSDFqaE8wuMmjVmPQaHpu3LeF9n/l6Fz8bkEOXdDNub1tzZrc3iNWoJcNiIC3JLmNCCCGEEKc7Ke4IIYQQP1IpRl1cr5xMq56HL+rLswt3x53/5C8G09DiT7rblsMTjC59+q+PCikobYrGLhyQzZNXDaaT3XTc47MYDhV12mXbjEy/chD/9fGWuPMfuWwALf4QTk/i5WH+UIRalw+dRs30L7azYFtNNDaqWxov3zA8YZ8iIYQQQojTnfTcEUIIIU4hZr2WG8/syqxbz2BYvp0Mi55xvTL47NfjmNA7E6366D/ajToND83ZHFPYAfhuZx2P/3s7bu+hwoujNUC1y4sjydbnieg0aiYOzOGju8cypkc6GRY9I7um8t4dY7hqeN4xl4TZzDqenr8zprADsHF/W4+exhZ/9JjTE6DG5aWx1X/kbYQQQgghTisyc0cIIYQ4xaRZ9JzfP5vhXVLxh9p2w7KZ2mb45NiS72aVn2YiEI6wdl/ivj2LdtbS2OInoihsOeDk+W/2UNbQSs8sC7+9uB9D81Oxm46961aKSceZPdJ5Y+oovMEIRp2a1IO7YflDEfLTTFQ4vHHX2Yxa1CoVX2ytSnjfrRUu6lv8GLRqdtU08+zCXeysaqZzmokHLuzDWT3TSbMYjjk+IYQQQoifGpm5I4QQQpyi0ix6cu3GaGEHIMdm5KXrh8fNkDFo1bx8w/CYmTlHUhQIhiPMK6zkllnrKap00ewPsaXCxdS31vHl1ioCoXD0/GA4QrMvSDCceBmY3dw2vtTDtjlvH59BG/sriEat4qUbRuALhknQTijK6w+xYm8D175WwLp9Dpr9IXbVNPPr9zcxc1UZrYf1+gmHI7T4QgSSLFMTQgghhPipkJk7QgghxE+IVqNmXO9MFj54Dh+s3c+e2hZGdE3lmpH5dE41UdbYmvRalart+mQNmf/3q52c2zeLLKuBAw4v763Zz/YqFwM62Zh6Vje6pJuPa6erYfmpLHzwHD7dVMHmcif9cq3ceGY38tNM1Lp9qFUkLfDYTDrufHdjwtgrS0u4dlQ+Bq2aCoeXjzccYP1+B90zzNw6rgddM8xYDfKrjxBCCCF+euQ3HCGEEOInxqjT0Dvbyh8uH4g/FMao1aA+OJMnw2pgTI+0hEuzLhqQg9MTxBdMPNPFDcIfegAAOMBJREFUEwjT4g+xr6GV22atj+7Ytb7Mwftry5l5y2jG98mKzhoKhSN4g2GMOg06zaGZOjqtmu6ZFh76WV98oTAGrSZ6TYZVz8+H5vHvLfFLs4bm2/EGIzQm6QEUjijUuHy4PEGue6Mg+j7W7Wviow0VvHDdMC4b0ilagApHFLzBEHqNBr1WJjMLIYQQ4tQlv8kIIYQQP1EatQqzXhst7ACkW/S8eP0IxvZMjzn3wgHZPDFp0DGLHFq1igdnF8ZtxR6OKDw4p5Bat49AKExJfQtPf72LO9/ZwJ+/3MHe2ma8wXDMNeqD4zt8CZnVoOORywZwyeBcVIetLBvdPY1XpoyMW851JLtJx0MfbUlYoHrksyLqm/2EwhH2N7by0rd7uOPtDTw6t4gdVS5afMmXrAkhhBBC/JjJzB0hhBDiNJOXauLVX46isSVAsy+IzaQjw6rHbmrrjZNlNVDfEr8DVa7NSKs/nHTmjMMTpNkXZH9jKzfPXEcw3FYAWruviffW7OfNm0dzTt8stAdn8bi9QTyBcEzDZYBcu5FnrxnK7y7ph8sTxGrUkm4xkG7R09Dip0+2lb11LXGvb9FriCgKJfXxMWhr5lzp9ODyBpn8WkG02LR2XxOfbKzg2WuH8vNheZgOzuxp8YVo8YfQa9WkW/QJ7ymEEEII8WMgxR0hhBDiNJRq1scUVNrlpBj5x5QRTH1rHf7DGhEbtGpm3DSCY+xkjlql4oHZhdHCTruIAg9+VMiCB84hxahld00zf/1mN3tqW+iabuahi/oyNN8eHZPNpItpFN0u02rgpRuGc/3ra2g5rHmyRq3i7zeNjJmllIjVoOO3H2+Jm0UE8Ie5RYztmUGmVU9pfSsvfLuHLQec5NiMTLugN2N6pJMuu3EJIYQQ4kdIijtCCCGEiFKrVQzv2tbw+IstVRRVuhiWn8oVQzvR+WDD4xSDlmZ//FbrVoMWbzBMXXP8rB8AtzdEiy/Ehv0O7v9wc/R4Y2uAm2eu47HLBzDlrG6YdBp8B+/T6g9h1mvItOqxGNqKPQNybXz9wAS+2VHD2tIm+uRYuXpEPvlpJhzeYNKt1jVqFRq1il01zQnHFwwrVDk8lDd5mPrW2mhT54aWAL9+bxN3ju/B/Rf2wWbSEQi1ja/ZF8Ko05Bh0ScsRgkhhBBC/BCkuCOEEEKIGHqNhu6ZFu67sA+hcCS6jAog22bkyV8M5oHZhXHX/WnSoJg+OQmp4I//3pYw9NzC3Vw8KBejTsMrS4t5f005gXAEtQouG9KJP1w+gE52E2q1ii7pZu4Y35NbxnaPGV+uTsMzVw/h5pnr4nbc+u3EvseceWQ26rj3/U0Jd+t6c+U+ppzVlWA4wgdry3l1WQmeQNsMoHP7ZvG/vxhMfpo55hpFUVAd84sihBBCCPH9SHFHCCGEEEkdXjgB0GnUXNg/m3n3juNv3+5lT10LvbOt3H9BH/rkWGn2hbCbdLi88c2JTToN3kAYpydx42J/KEKrP8g/V5TybsH+6PGIAl9urcbpCfL3G0eQatZR4fCydHcdBaWN9MtJ4cpheXROM6HXahjVPZ2v7p/AjMXFbKlwkp9m4r4L+jAoz0YgFKFrupnyJk/c66tVoFGRMNau2uXjm+21/HXRnpjjy/bUc8c76/nXHWPITjFS6fBSUNrI0t11dEkzcfXBrejNshW7EEIIIf4D5DcMIYQQQvyfWI06hndJ4+UbR+ANhjHrtFiNbb9SmHQa/vcXg5n2wea466ZfORDdMXa7UqlUfLiuPGFsZXEDDk+AWreP614vwO1rWxo2v6iGvy8u5q1bz+DsXhmYdBq6Z5h59LL+eAJhDFo1aWY9KQeXTf3lmiH88q11hI+YnvPAhX3QazVHHZ/dpOMfS4sTxnbXtFDj9OHxh5n8egH1hy1Pe215KS9dN5yJg3Mx6TTRZV0ubzC6rCtRDyQhhBBCiOMhxR0hhBBCnJAUo44UY2yfGa1GzXn9spl379n87bu97KltpkeGmQd+1pd+OSl4guGkPXFsJi2+YCSuGfPhfMEID80pjBZ22oUiCve+v4mFD52DXqPm9WUlvFuwn0A4gkoF5/fL5smrBpOXamJE1zQW3D+BTQcc6DRqguEIPTOt9M6xoigwLN/OlgpX3GvrNCpUqHB74/sNtfMEQ7ywaE9MYQdAUeC/Pt7C4q5pWI0aPlxXzozFJdHGzmf2SOO5a4fRLcMSvabFH6TZG6RLn4FJX08IIYQQAqS4I4QQQoiTzGrQMrxLKi/fMBxvIIxJr4kWgVJMOv52wwhu/OeamN24NGoVf79hBDbj0X81iSgKu2sTN0Ru8YdwewLMK6zizZX7oscVBRbvquM372/kzVvOwKzT4AmG+XJrNUWVLjrZjdx3QR96ZlvIsBh49tphTH5tdVwB6dlrhmI1aDBo1TFjP5zNqGPZ3vqEsVBEobyxlZKGVp5bGLusa90+B1PfWsdH94wl3ayjtL6VF7/dy9p9jWRY9Pyq1cAF/XPISondrcsXDKHVqNGqjz4jSgghhBA/bVLcEUIIIcR/RKKZPQBD8+0sfPAc5hVWUljupF9uCteN7kLnNBOBUIQL+mWxeHd8gaRXlgWF5LN6ABSVirdXlyWMFR5w4fIE2Obwctvb61EO3srpCfKb9zdx14S23bB6Z1mYd+/ZzC+qZsN+B3l2IzeN6UZeqhGzXsvkUfm8tzZ+6VimVY9GrYreNxGrUcvfvtubMFbe5KHS4aHGqWLy6wXRGUxOT5DffVrEz4c28MSkwaRb9FQ6PCzZXc+iHbVkpRi4+axudMu0YJcdu4QQQojTkhR3hBBCCPGD0mrUdM+08MCFffCHIug1atQHt7Ey6jT8+RdDcHywic3lzug13TPMvHnLGRi0atIteppaA3H3VasgHI4knVUD4A1GePSzooQFmDdX7mPq2O5UBXxMfm01fXJS6JVlpb4lwNWvrOaZa4Zw6ZBOTLugD5VOL0sOK0Dl2Ay8fduZpFn09MqyUFLfmvD1DToNjQnG3s4fjPDU1zsTLk37Yms1917Qm2ZfkGtfi+3p88nGCn53cT+mjO2Gzaijxu1jV7WbJbvqyE4xcMngTuTajVikobMQQgjxkyQ/4YUQQgjRIVQqFUZdfAPjzqkm3rx5NHXNfiodXrJtBnJtRrJtRsIRhelXDuL+D+MbNv/qnJ5YDVo0alVcs+R2EUWhyuVLGFMUcLQE+OPn23D7Qmzc72Djfkc0/rtPt3JGj3QiEYVxvTL45VndqHH5SDXr8QZDOD0BemVZ+POkwUx5a21cAenKYXmY9Roseg2tgTC9sqz0y7Xi9oZYU9pIKKJgM+nYVulO+jWrdnqZs6EirqcPwF8W7mbioFxafCFumbWOvbUt0dhz3+zhuWuHcvmQTpgNWmrdPkrqWliyu44Mq4GLBuaQa5PijxBCCHGqkp/gQgghhPjRybAayLAaGNDJFnNco1Zxfr8sPvzVWTy7YBc7q910TjXzwM96c3bvTAwaNZcN6cQXW6ri7tkl3YThGLthqTWqhM2UAYJhhcZmPy9/t5clu+tRq9p2z/IEwvhDEQxaNd89fC5dM8y8efNo3lyxj8IDTjJT9NxwRlcu7J9NtlXPvRf0pkemhSqnl83lTnpnW7l9fA8W7ajBrNdwcBIT5/XLpn9uCm5fiAXbqmloCZBhMfDN9pqk4y9rbGXxzrqYwk67//l0K6O7p2P0BbnznQ1srzpURHrm6108e7D4YzFoqXZ5Kapw8eXWKjKtBq4d3YX8VBO2w5Z9hSMKzd4gWo06uluaEEIIITqG/CQWQgghxCklxahjbM8MZt5yBr5QGJ1GTab1UKPhRy/rj6PVz8rixuix7hlmZt56BqlmHUM62ymqjC/gGLRqtO2VlSQ0ahVL97Qtx4oo4PAEozF/KEJ9s5/Xl5eyvqyJyaPzuXZ0Pm5vkLmbK3n5270s/u25XDIol5v+uZYa96EZRO8UlPGXa4aSatZx69hunNc/h+921bF8bz0ZFgOPXjaACocXs0FLkklJAKSa9XyyqSJhTFGguK6ZgpLGmMJOu999upXR3dIw6DTc/NbamKVlM1eVtS37OqsbNpOOiiYPn2+pYsH2GqwGLXeO78HQ/FQyD2v47PYGafGHUKkgw6I/5jbzQgghhDhxUtwRQgghxCkpzaJPeLyT3cTfbhxJQ4ufKqeXDIuBHJuBbJsRgOcnD2XyawUxu2GpVPDCdcNIM+volmFmf6Mn4b2P1TBZo1HxzY4aIgq8tqw0Ll7r9vH6stKYwg60FV4e+ayIcf99LpNHd+W61wto9h8a37I99dxxdncseg2juqXFLBc7nM2oPWrPoVSzntnrDySMKQrsqW1mTWljwp5Bf1m4mwsH5OD0BLj61dU0tBzqHbS6pJGrhufx/34+kBSjlpK6Vp6av5OVxQ2YdRpuOLMLd4zvSV6qCYBAKEx9s5/G1gBajZoMi56cg5+PEEIIIf7vpLgjhBBCiJ+cdIuedIuevjkpcbE+2Sl8df8EvtlRy+qSBnpkWLj+jLbdusx6LU//Ygi/fGtt3AyZuyb0wG7S0TnVRKXTm/B1tWrVUWfWaNVqvt1ZmzAWjihUOX289O3emMJOu7dWlXHruO784bIBcVvJA0wcmINRr2Fovp2tSZaW2Y1ty8iSSTPrmbO+gkyrnutGd2FQnh1fKMzXRdUs3lXH3rpmlu6up6ElgEatIjvFgC8YxuEJMq+wijvG90CnUTNpxioC4bbxtQbCvLWyjOV7G/jX7WMw6TV8uaWKp+bvpPXgWPLTTPzjppEMyrOh1aipb/ZRUtfK/KJqrEYtPx+WR16qKWY3sGZfkGZfCBWQbtUfc8mdEEII8VMmxR0hhBBCnFbUahVd0s3cMb4HU8/qhk6jQqU6tBxrRLc0vrhvPC99u4fCAy5ybAamnd+bM3tkkG7RM/3KQdz17oa4+146OBebSUd+mokKR+Lij16rPmrxR69Rs7qkMWm80uXlk42VvDF1FHM2HGB9mYN0s55rRuVjM2nxB0L87pL+TE1QnBreJRWjXs2ILqlsPuBMeP9Us54zuqdx87ju/HN5Ka8uK8Gq13LViM68cfNobEYtX26t4tfn9uKMHunsa2jBYtCSbtYzc9U+9je28tnmymhh53B7a1soqW8hGI7wh3nbYmIVDi83vLGGhQ9OwKDTMO2DTawvOzQ76ZWlJdx3QW/uGN8Dq0FLaUMrzy7YxeJddei1aq4dlc+vz+1F5zQz0Fb4aWgJsKPKhV6rpn+ujawUQ0wD70AoQlOrH5VKRYZFj1ajTv7BCCGEED9yUtwRQgghxGlLr41/oDfpNAzKs/Pi9cNp9YfRa9QxS8DO6pnOB3eO4X/n72R7lZsMi55fndOTq0d2JivFyBNXDuKOd+KLP+f1y8Ju0tI3x8qeBA2PAczH2K3KoNXwycYKvtpazZXD87j3/N60+kN8tqmCXTXNzPnVWczdXMmrvxzFG8tL2bjfgc2o5ZpR+YztmYGjNcBDF/Xh1lnr44o/g/JsWPRq7pzQk9vfXk/o4AnN/hD/WrOfTeUO/n7jCP581WCW7q7n1WUl0WuNOjVPXjWY/DQzK/cmL045WgMx1x3OGwyzpcJJjcvP3roWfnVOT4blpxKORPh2Zx2vLytl4qAczHotk2aswqhTM6FPFsFwhI83VLBsTz1zfjUWo07NG8tKeX1FaXQJnU6j4i/XDOXiQblYDFrKmzy8uaKUr7ZWo9WouH50F244s2t02Vh7cWh7pQutRsWATm3FIbP+0OfT6g/h8rb1XEo162JiQgghxA9NfgoJIYQQQiRgNeiwGnRxx1OMOsb1zuTdO87EF4ygVavIshpQH2zGfGaPdN6/cwxPfrWDndXN2E067hjfnevP6EqOzcifJw3mxn+uiSuuXDooF7tRx5ge6azd15RwTClGLXqNGm8wzJwEvXMMOjWfbKxg+Z56bjizC7ef3QNfMMyXW6t5Z3UZc+4ey4frynllyijeWF7CpnInFr2Gq0Z05vz+2Rxo8vLK0uJoYedw26vcRCJtTaO/3FodE/MFI/z+0yIWPnQOKUYtja2BuOsBMqx6SuoTF7YAdBo1G/c38eJ1w3lzZSn/XFGKXqPmiqGd+OfNoyiua2FNSSOPXNYfu0nH6pJGDFo1t53dnfVlDrZXulCAdWUOXrhuOEadGrVKRX2znxmLixmYZ8Oi1zL51dWM6JbGfRf2IRJR+G5XLfOLqvnXnWMwajXMWrWPWavLGNLZjqLAlgonj142gEnD8rAatexraOW5hbv5ZkctKuCKoZ146KK+dMuwANDY4ueAw8MXW6pQoeLnw/LokmYi/WDjb0VRqHX7og2508x6cmyGmBlkoXAk+nVMt+jQaWTZmRBCiOSkuCOEEEIIcQIyLIaEx1OMOs7uncl7d4zBFwyjOVj80Rxc9jO0Syrz7j2bvyzYxYYyB5lWA3ef25NLB3ciK8XAE5MGcc0rq6P9aNrdMb4HGRYDk4bn8fHG+B2x2rdmz7IaqGv287fviuPOMek0fL2tlk3lTm48syt3TuhJIBTh623V3P2vjcz51VmsKU1cWAKocft5Z/X+hLFQRMHZGmDy6PyEzaQBclKMdM+wsKumOWE8w6JnylnduPOdDdGeQv5QhE83VbJhv4NXpoxsK76sLmPdYQWwdwv2c/PYbthNOlbsbeDaUZ158ssd0eJI13Qzf7h8AKV1zZQ1enhu8jC+3lbNq0uL0WnUXDakE7eO68H2ShcGrQazQcszVw9lTWkjGrWK287uzpYKF2WNHuwmLVe9sgq391BfpHmFVawsbmDevWdj0Gr40xfb+eKwAtibK/dx9YjOPHr5AKwGLRv3O/ivj7ZEG2vn2Aw8P3kYZ3RPx6jTUOn0MmddOZ9srCCiwFXD8/jl2G7kH1x25vAEqHJ4mb+tmlBY4ZLBuXRNN5NxsHgUjrQVjxpbA0QiChlWPdk2A/rDCkSt/hBOT4CIAjaTFrspvkF5SyBM5x59jtpEXAghxI+DFHeEEEIIIf4DMqyJiz8mnYah+am8MmUUnkAIjUpFVsqhWRvtDZ/fX7ufFXsbyLDouPvc3gzubCPNoufBn/Vl434HpQ2HdrRSqeCv1w0nJ8XItAt68/jn2+Ne12bUkmrSRXfbeunbvQnO0WHRa+IKS+3MBi21zb6EMQBfKMLIrmkJmzr/5rxetAZC3HZ2d373aVHctQatmmybgafn70q449f+Rg8qoLiuJaaw0+7dgv3ceGZXhuTb+dW/NsbEyps83P/hZub+ZhypZgP3z94cs9vXG8tLWbyrjhevG0al08v6siae+XpXNP726jImj8qnNRDkiy2VMYWddg0tAZbvqSPTaowp7LT7bHMlk4a3NYa+eeY6wofNjqp1+7l11nrm3z+BFKOWG99YQ3nToR3bXlteyrzCKj799VhMeg0vf7uXdwoOFdleX17KpYNz+dOkQaQYdazb18SDcwppOljcsug1PDFpMBMH5WAz6tjf2DbzaMG2GkIRhbE90/njzwfRJ9uKVqOmzu1j7b4mZq0qwx8Kc5XTyOVDO0WXrbm9QWrcPhZsq6HVH+KigTl0z7CQmdKW86FwhFq3D5c3SCiskGbRkWYxYD1s2WFTawBHa4BQRMFm0pKTYozOfoO2nkiNLX4iioLFoCXVHF98amoNEIpESDXpEy6xDIYjhCIRTDp55BFC/PTJdzohhBBCiA5gN+lidn9qp1Gr6J5p4b8v7sevJvSgrLSY4T1S0enazu2cZuKDu85iZ7WbpbvryLUZmTg4l042I2aDliuGdqLC4WHmqrJoAaFzqok3bh5F5zQTf7xiIFe/ujqmuABtDZfTrTqmjOnKGyv2JRxzmlnHoDwb2yrdCeMpRi0Pf1TIAxf25bazNawtbcRi0DKuVwaLd9XR4g9R1+zn3vN78+aK0mgRJ8tqYPqVg6h2+VhdmrxnT12zn082xc9aaufyBHi3oCxhzB+K4A2GWbi9Nqaw0664roWwolDr9vPdzrq4+McbK5gypivf7apP+vq+YIR/rkg8awmg8ICT+dtq4r720DbbZn5RFRlWQ0xhp117MWVAJ1tMYafd19tquGxILgM62bjt7fUxr9EaCPPbj7fwScZYOtmNTH6tgLpmfzReUNrEVf9YxVf3T8BmavsMVxYf+hy2V7l5p6CMOb86C6tRxzury3hh0Z5o/PXlpZzdO4MXrhtOqknH7tpmmloDrC5pxBMIc2b3NDKsBgZ0spFu0bOntpnffrwlWgDMshp4/MqBnNs3ixSjjlq3l9L6VlzeIL5ghBybgUyrga7pZgw6DQ0tPg40eXF5gwRCEewHG5l3sptQq1W4PIHozCVfMEKqWUee3USO3QiAxx+i2uVj0Y4a6lv8nNs3m365KeTY2uLBUIRGj5/GlraZT2aDhnSLnjTzoYJtQ7MfhydAKKxgNWpJNetIMR76/7PTE8DpCRAMK1gMGjKshpgd3dp6NrWNz2rQkmE1oIkpboWpa/YTDEcw67XRsbVTFAWnJ0iECFq1JuH3ErcnQFhR0GvVWBIsMW31BwmGFYw6NcYEBTBfMIwvGMas16BPsBtdKBwhEI5g0Gpixn64cCSCRn3izcrz8vJO+FohTjdS3BFCCCGE+BHSazWkmrRU7S9l+KD+MbFcu5Fcu5Hz+2fHXZdhNfDgz/ryy7O60dDix6jTkGk1RB8O++WmMO83Z/PU/B2s2ddEilHLLWO7M2VMNzKtRm4f34OVxQ3sqI5dOvWnSYPISjHw6GUDuOmfa+NeNyvFQI7NwKThnXl0bhEZFj2DO9vxBcO8W1BGMKxw29ndWbG3niyrkRk3jcQfCqPTqGnxh/jHkmL+NGkQNqMu4cwYaHugbfEljgG4fCF2J2lWDW0NnRfvTrwVPYDLE+STBEve2rX6Q9hNyX997pZuoSXBNvbtuqSb+WZH8tdPM+v5d2FV0niLP8TMVYkLbwDbKlxs2O9MWDwC+GJLFT2zrDGFnXb+UIQP1u5nfJ/MmMJOuwqHlzkbDnBh/5yYwk67VcWNzC+q5oL+2SzYVsMrSw81zn5vzX7O6J7GnycNptUf5PrXC6L9hgDqW/xM+2AzH9w1ht5ZVgoPuHj0s6LosjqtWsUvz+rGzWd1I9WiY29tC49/vj3amNxq0HLPuT25Ymge6RY9+xo9/PWb3awsbkBRINdm5L4LezOhTyaZVgNfFVXzP59ujS43e2tlGf1zUnjr1tFkpbQV1z7aUMEnGytwegKM7p7Ob87rxYDcFLJtRsoaWlm0s5Y56ytoavUzuns6d03oQfcMC9k2I+WNrawra2L2ugM0tPgZ2S2NqWd1iy6dq3B42FntZvb6A9Q3+xmen8p1Z3QhP9VEqkVPldPLrFX7eH9tOZ5AmK7pZn5/aX/G9cog1ayn1u2j0unl34WV1Lh8DO+SyoUDcuicasRi0NHQ4qPW7efrohoqnV6Gd0nl7N6ZdE41YtJrcXr81Lr9LN1dz4EmD0O7pDK6WxqdU00YdBrc3iAl9S28tXIf5U0ehubbuXlsd7pnmNFrNbT6g5Q3enl/7X5KG1oZ1iWVa0Z2pnuGBa1GTSAUZn+jh8+3VLGntplh+anRpYNajZpQOEKFw8P+Ji/ljR56ZlnITzPRJc2MWq0iElGocHiodvkoV+USOeAm126ka7o5OsNxf2MrO6rc7Kh20z/XxuDOtmjPq7Z89dDU2lbky0oxkmHR0yXdHI1XOb04PAEamv2kWfSkW/TRZY8A1S4vTk8QR2sAm0lHmlkX3Y0PoNbtw+kJ4PAESTlY3Ouceihef7D452gNHIzrozPfoK0vV1s8iNWoxW7SxcSbWvw0tgaob/aTYtSSYTGQl3Yo7vQEaGwN4PIEMes12M06OtkPxd3eAHXNARyeACadhgyLnk6H3b/FH6DW3TY+s15Dmjk27gmEqHH5cPuCmHQaUk36aHEUwBdoK5A6PEGMejXpZj25h71+MBym1u3H5Q1i0KpJt+hJP2wpcygcobbZj8sTQJ8gHm6Pe4PoNO3xQ7P3whGFOrcPpzeI/mD88I0PIhGF2mYfbm8IrUZFmjn2+p+qDi/uvPLKKzz33HNUV1czaNAgXnrpJSZMmNDRwxJCCCGEOGVZDFosBm3Mw047o07DkHw7r/5yFJ5AGLUKMq2G6FbguXYTs247kz21zXy7o5Z0i57Lh3Yix2bEatAxpLOd1345kumf74j2jBnTI52nrx5Cjs3EreO6893OWkrqW1m259AslzvH9yDLauD3lwzgmtdW81VRNSoV0QfsdIueLult1z/51c6E76truplz+2bx2ebKhPEMi54uaWbqExQvABSI6TtzJJc3iNsXTBp3eoNcPTKfTeXOhPHOaUbO7pXJzurEPYW6Z5jpmm5me1XimU+9siwJlxe165uTwsrihqTxXtnWpF8bgG7pZr7dmby4ZDVqEzbqbufyBPlwXXnSeFGlkwGdbDGFnXbryxysL2tCq1HHFHYO99aKUn57cX/u/3BzzNK8UETh7dVl9MtNYVS3NO55b1N0pzJoK3o9/80eOtmNDO+axr3vb6LS6Y3Ga9w+/jB3GzNuGkG/nJSYwk67XbXNvLashLsm9OSRz4pYX+aIxtbta2JDWROzbj2DQCjCU1/vYtFhRbpFO2pZuruOd247k2A4witLS5h92NexrNHDV1ur+dcdYwiEIry3Zn9MX6qtFS4+2VTBv+44k/yQmf/+eAurSg4V2MqbPPzm/U28cN0wzu2bxZJddTwytyj6HhZur+WN5aW8e/uZdE03s7a0iQdmF0Ybo8/dXEmW1cA7t59B13QzhQdc3P2vjYe+xmvLybEZeOe2tuvnF1Xz+8+KYsb30foK3r39TEZ2T2XZngamfbAp2hR+dUkjM1fu4707xzCiSyoFpY3c+c4GgmElOr4ZS4p5/84xDO+SSnFdC3f9awMHmg59Rr2yrLw+dRS9s62U1Ldwz3ubYpqv982x8uqUUfTKtrKz2s2UN9dGlx1C26zC9+4cw6A8O2UNrTz80RY2lR/6DAd3tvHyDSPolWWlvLGV339WxOrDvsZD8+28dP1wemZZKW9qZfq/d7B496EZfCO6pPLX64bRM8vKgSYPT83fyYLtNdHPYGTXNJ6fPJSeWVYqHG3FxX8XVkW/RqO7pfHstQfjTR7+vqSYTzdWRD+jM3uk85erh9Ajy0qlw8OT83fydVFN9PV7Z1t5dcpI+uSkUOnw8M7q/bxTUBb9DM/qmc5TvxhCzywrVU4v/1hSzOz1B6KF3v65Kfz9xhH0yUmhyunhrRVlvLumLPoZDexk4+UbhtMnJ4Vqp5d/b6nilSXFuA8W08f2yuDJSYPplW2lxuVlzvoDvLasFG8wHP36vnDdcPrmpODwBPhsUyUvfLM7usR3SGc7L9/Q9vV1egJ8ubWaZxfsit5/aH7bDpW9sqy4vEEWbq/hqfk7cR78XjE0386L1w2nV7YVtzfIkl11/OmwvmrD8u389brh9M620uwLsnxPA9O/2B79WTC8SyrPTR5Kn+wUfspOfI7cSTBnzhwefPBB/vCHP7B582YmTJjApZdeSnl58h8aQgghhBDi+2v/S3Ku3RQt7LTLsRmZ0CeLJyYN5oGf9aV3dkp0yUmKUcfFg3KZd+84vnnoHJb89jxenzqKnllWAPJSTbx35xhemTKSiQNzmDw6n3m/Gce95/fGbtbTLzeFmbecQX6aKfpgdGb3ND6+eyw5NhM/H5bH2J7pceN96Gd9yDzYU8ikiy/QdE030yXNzEMX9Un4fjVqFf1yU7h5bLekX5MemRYuSDAbqp1FryUnxcDEgTlxsauGd8YXjHDRwBzSzPFLYDKteiwGLdeN7pL0/plWA5OGJV+GkmM3ML53ZtJ4XqqJXgc/h0S6pJtITTC2dn2Oci3AgNyUmAfqIw3Ks/PFluQzj7zBMAVHWXbXK8vKkl11CXsuAW0zYkqbYgo7hyuqcFFU4Yop7Bxuxe56luyuS9ogeke1mwMOb0xhp11EgffWllHb7I8p7LQLhhXeWFZCU2sgprDTzh+K8PKiPTi9QV5fHr90zxMI89yC3VS7fTGFncM9/81uHJ4Af/z39rj34PAEeeKLHTS0BPjtx1vjdryrb/Hzx39vp67ZH1c8g7a+T4/N20a125ewZ1cgHOF/Pt1KRZOX3368JW63P38owm8/3sIBh4f7PyyMFg0Of38PzSmkvNHDtA83xxR2AErqW/ifT7awv7GVB+cUxu2qt6e2hd9+3Baf9sGmuDx0eILc+/4mDjS18ujcopjCDsC2SjcPzSmk0uFh+uc7Ygo70FbAemB2W/zp+btiCjsAmw84ue/DzVQ7PbywaDdfb6uJ+Qw2lTu478PN1Li8/GNxMXM3V8V8jTbsd3DvB5uodXl5c2Upc9YfiPmM1u1r4p73NlHr9vLK0pKYwg60LRu97e311LnbZtC9cdiyVoA1pU3c9e5G6pu9vLd2P++vLY+ZwberpplbZq6jvtnLpxsreWvVvpjPaEe1m5tnrqO+2ce3O+t45utDhReAgpJGbnt7PfXNPhbtqOXFb/dGCzvtX9+pb62l2ull6e46/vzljpjebUWVLq5/Yw11bh+rSxp5bN62mPtvrXBxw+tt8Q1lTfzPJ1ujhZ32+PVvFFDj9lJ4wMkDcwpjdmXcUuHi+tcLqHF62Vbp4t4PNsUU+QsPOLnutQIqHPFLXn9KOnTmzgsvvMAdd9zBnXfeCcBLL73EwoULefXVV3n66ac7cmhCCCGEECIJlUpFrt1Erj1xvJPdRKchJiYOykGNKqZRrsWg5fz+2XyaNw63NxidMt/eMDfHZuRvN46grMHDgu3VpBh0XDakE7l2IzZTW8Pnz6edzXMLd/Pdrjr0GjXXjs7nnnN6kWM3YtCp+cNlA3h24a7ow4vVoOXlG4aTlWLk4kG5fLapgi1HNHy+bEgunewmbhnXnU82VNB8xPKqrBQDfXOtNLYEGN4llV+M7Mzq4rbdtMb1ymBblQubUUddi5+XbxjBnPUH+GZHDSpUXDwoh8mjuxCMRNBqVPzxioE8u3AXvmDbw5lRp+a/JvYjEIrQM8vC+N6ZcTN0RnVLw6TVcE7fLN5bWx43OynFoCU7xcBVwzvHPTi2y7EZ+cWIfL7YEt/wGSDdqufyIZ1YuD3x7J5Ui54JfTKTLi1LM+tweJIXf7zBMF0PW1pypKwUw1GX1YGK7dWupFG9TsPm8vjCTDuTQUt9c/Lx9c1JoSBJYQUgxaCLKwoczmzUHrV4pdepWb+vKWlxSaWCLQecSa/PshrYUeUmEE5c/HJ5gxTXt8Q8dB+u2uWlvMkT81B9uNL6FvY3epIW1xpa/FQ7vXiSNFyvdHqpP7iUJpH9TR5cviDFdYk/403lTty+UNKZbZsPOHF5g5TUtyaMlzV6aPGHk35GWytcNPtDLNkT31ML2goQrf4wC7fXJIxvr3LT7AvzeZL//7TFQ3y6KfHsuZ3VzTT7Q3y4LvHsuN21zTT7QkmXhlY4vLh9IWatLEsYL6lvweUJ8W6SHQ2rXD5c3hBvrky8tLPa1dYEfcaS+Gb70DaDzOkJMmNJ/E6M0FYgbGjx8/zC+GWb0LZUrdbt4y8LdiWOt/ipcft4an7ieENLgGqnj6e/Tjyzs7E1QKXTy9NfJ77e4QlSUNLI5NHmhPGfgg4r7gQCATZu3Mjvf//7mOMTJ05k9erVCa/x+/34/Yd+kLlcbd/cm5qaCAaTT6EV308wGMTj8dDY2Bht5ijED0XyT3QkyT/R0X7KOagF0g/+Jhr2+mk87A/5aqCnDe4d1wkARQkQ9ARoPPhH13Qt/L+J3Xj43HxUKrAbtegiHhoPnnB5Pxvjuo6g2ulDq1GRk2Ik3aLB43aiA567sg/bq93M3VyBQaPmutFd6ZlpRhVowarAuzcP5m/f7WXJrno0ahWXDs7lnnN7YQh7SdNGyDKE+X8fr6NHhhUF+GpDMX+8chBGxUu2PsJra0rRRRSevKwXiqKwuqSRhZtLuXN8D/SGCJ+X1/DUFb0JBMMotC2VKyip5ZxuZrQqhQt6WpnYJ4Ulu+tRFIVz+mahVauIBDzoFIU/XdqTuZsq+G5XHeGIwoS+mdx4RldaW9xoUfHEpT15fuEuGlvbfj+2GjTce35vWluasWvUTBmZxb+OaMp8Tt9MdCEfeWYVozsZWVcWuyNZXqqRTH2IzEwtncwRKh2xu6bptWo6mRTO7W7lyw2J/zpeXdvEpJGdeSXoTVh8sqoC9M/QEPEnvr60so4R3dKSxosrahndPT1pvKSqjutHd00aD3haMVlIGq+sc9A7Lfn4ahscRLJ1SeNNDhc+jylpvNmtw6gkH3/Ao6HR4UwajwTU1Dc6ksbVQaipb0oa1xoMuN2upHG9RkuTy500rjNoaHQc5Xqtmpr65OMDqGs4eryhKfn7h6O/v/Z42Jc8Xt3QSOgo8ZqGJoLexMWl9rjPk7xAWdPgwNuaPF57jHhdowOXO3HxC6DB4cR9lHijw4nDmbxA2uRwUl2fvEDqdLmOGm9wODlQm7zA2ehwsq8q+dLSRoeTvRWJi28ADqeL7WXJl5Y2OVxs21dDJEnfsSVF+7mwpwUlWYX1CD+Gn8HNzW3LfI9nzCrleN/ZSVZVVUXnzp1ZtWoV48aNix5/6qmneOedd9i9e3fcNdOnT+eJJ574IYcphBBCCCGEEEII0WEOHDhAfn7+Uc/p8IbK7R3P2ymKEnes3SOPPMLDDz8c/e9IJEJTUxMZGRlJrxHfn9vtpkuXLhw4cACbzdbRwxGnGck/0ZEk/0RHkxwUHUnyT3QkyT/R0X4MOagoCs3NzeTlJe/H1q7DijuZmZloNBpqamLXNNbV1ZGTE9+kDsBgMGAwGGKOpaam/qeGKI5gs9nkG6voMJJ/oiNJ/omOJjkoOpLkn+hIkn+io3V0DtrtSRrcHaHDdsvS6/WMGjWKRYsWxRxftGhRzDItIYQQQgghhBBCCJFchy7Levjhh5k6dSqjR49m7NixvPHGG5SXl3PPPfd05LCEEEIIIYQQQgghThkdWty5/vrraWxs5E9/+hPV1dUMHjyY+fPn061bt44cljiCwWDg8ccfj1sSJ8QPQfJPdCTJP9HRJAdFR5L8Ex1J8k90tFMtBztstywhhBBCCCGEEEII8f11WM8dIYQQQgghhBBCCPH9SXFHCCGEEEIIIYQQ4hQmxR0hhBBCCCGEEEKIU5gUd4QQQgghhBBCCCFOYVLcOQ08/fTTnHHGGaSkpJCdnc1VV13F7t27Y85RFIXp06eTl5eHyWTivPPOY/v27dF4U1MT9913H/369cNsNtO1a1fuv/9+XC5XzH0cDgdTp07Fbrdjt9uZOnUqTqfzh3ib4kfqZOTfkedeeumlqFQq5s2bFxOT/BOJnMwcLCgo4IILLsBisZCamsp5552H1+uNxiUHxZFOVv7V1NQwdepUcnNzsVgsjBw5kk8++STmHMk/caTjyb/PPvuMiy++mMzMTFQqFYWFhXH38fv93HfffWRmZmKxWLjyyiupqKiIOUfyTyRyMnJQnkPEiTpZ3wPb/difQ6S4cxpYtmwZ9957L2vWrGHRokWEQiEmTpxIa2tr9Jxnn32WF154gRkzZrB+/Xpyc3O56KKLaG5uBqCqqoqqqiqef/55ioqKePvtt1mwYAF33HFHzGvddNNNFBYWsmDBAhYsWEBhYSFTp079Qd+v+HE5Gfl3uJdeegmVSpXwtST/RCInKwcLCgq45JJLmDhxIuvWrWP9+vVMmzYNtfrQj1LJQXGkk5V/U6dOZffu3Xz++ecUFRVx9dVXc/3117N58+boOZJ/4kjHk3+tra2cffbZPPPMM0nv8+CDDzJ37lxmz57NypUraWlp4YorriAcDkfPkfwTiZyMHJTnEHGiTtb3wHY/+ucQRZx26urqFEBZtmyZoiiKEolElNzcXOWZZ56JnuPz+RS73a689tprSe/z0UcfKXq9XgkGg4qiKMqOHTsUQFmzZk30nIKCAgVQdu3a9R96N+JU833yr7CwUMnPz1eqq6sVQJk7d240JvknjteJ5uCYMWOUxx57LOl9JQfF8TjR/LNYLMq7774bc6/09HTlzTffVBRF8k8cnyPz73D79u1TAGXz5s0xx51Op6LT6ZTZs2dHj1VWVipqtVpZsGCBoiiSf+L4nUgOJiLPIeJEfJ/8OxWeQ2TmzmmofQpjeno6APv27aOmpoaJEydGzzEYDJx77rmsXr36qPex2WxotVqg7a/adrudMWPGRM8566yzsNvtR72POL2caP55PB5uvPFGZsyYQW5ubtx9Jf/E8TqRHKyrq2Pt2rVkZ2czbtw4cnJyOPfcc1m5cmX0GslBcTxO9Hvg+PHjmTNnDk1NTUQiEWbPno3f7+e8884DJP/E8Tky/47Hxo0bCQaDMTmal5fH4MGDo7kl+SeO14nkYLL7yHOI+L860fw7VZ5DpLhzmlEUhYcffpjx48czePBgoG0dP0BOTk7MuTk5OdHYkRobG/nzn//M3XffHT1WU1NDdnZ23LnZ2dlJ7yNOL98n/x566CHGjRvHpEmTEt5b8k8cjxPNwdLSUgCmT5/OXXfdxYIFCxg5ciQXXnghe/fujd5HclAczff5HjhnzhxCoRAZGRkYDAbuvvtu5s6dS69evaL3kfwTR5Mo/45HTU0Ner2etLS0mOOH56jknzgeJ5qDR5LnEHEivk/+nSrPIdof7JXEj8K0adPYunVrzF+b2x25flBRlIRrCt1uN5dffjkDBw7k8ccfP+o9jnYfcfo50fz7/PPPWbx4cUxviUQk/8SxnGgORiIRAO6++25uu+02AEaMGMF3333HzJkzefrppxPe48j7iNPb9/kZ/Nhjj+FwOPj222/JzMxk3rx5TJ48mRUrVjBkyJCE90h0H3H6Olr+nYgjc0vyTxzLychBeQ4RJ+pE8+9Ueg6RmTunkfvuu4/PP/+cJUuWkJ+fHz3ePrXsyKpiXV1d3F8Sm5ubueSSS7BarcydOxedThdzn9ra2rjXra+vj7uPOP18n/xbvHgxJSUlpKamotVqo1Nwr7nmmuiSBMk/cSzfJwc7deoEwMCBA2POGTBgAOXl5dH7SA6KZL5P/pWUlDBjxgxmzpzJhRdeyLBhw3j88ccZPXo0//jHP6L3kfwTySTLv+ORm5tLIBDA4XDEHD88RyX/xLF8nxxsJ88h4kR9n/w7lZ5DpLhzGlAUhWnTpvHZZ5+xePFievToERPv0aMHubm5LFq0KHosEAiwbNkyxo0bFz3mdruZOHEier2ezz//HKPRGHOfsWPH4nK5WLduXfTY2rVrcblcMfcRp5eTkX+///3v2bp1K4WFhdF/AC+++CKzZs0CJP9EcicjB7t3705eXl7c9pl79uyhW7dugOSgSOxk5J/H4wGI2ZkNQKPRRGeVSf6JRI6Vf8dj1KhR6HS6mBytrq5m27Zt0dyS/BPJnIwcBHkOESfmZOTfKfUc8kN1bhYd59e//rVit9uVpUuXKtXV1dF/Ho8nes4zzzyj2O125bPPPlOKioqUG2+8UenUqZPidrsVRVEUt9utjBkzRhkyZIhSXFwcc59QKBS9zyWXXKIMHTpUKSgoUAoKCpQhQ4YoV1xxxQ/+nsWPx8nIv0Q4oku9okj+icROVg6++OKLis1mUz7++GNl7969ymOPPaYYjUaluLg4eo7koDjSyci/QCCg9O7dW5kwYYKydu1apbi4WHn++ecVlUqlfPXVV9H7SP6JIx1P/jU2NiqbN29WvvrqKwVQZs+erWzevFmprq6OnnPPPfco+fn5yrfffqts2rRJueCCC5Rhw4bJ74DimE5GDspziDhRJ+t74JF+rM8hUtw5DQAJ/82aNSt6TiQSUR5//HElNzdXMRgMyjnnnKMUFRVF40uWLEl6n3379kXPa2xsVKZMmaKkpKQoKSkpypQpUxSHw/HDvVnxo3My8i/ZfY/8pir5JxI5mTn49NNPK/n5+YrZbFbGjh2rrFixIiYuOSiOdLLyb8+ePcrVV1+tZGdnK2azWRk6dGjc1uiSf+JIx5N/s2bNSnjO448/Hj3H6/Uq06ZNU9LT0xWTyaRcccUVSnl5ecxrSf6JRE5GDspziDhRJ+t7YKL7/hifQ1QHByeEEEIIIYQQQgghTkHSc0cIIYQQQgghhBDiFCbFHSGEEEIIIYQQQohTmBR3hBBCCCGEEEIIIU5hUtwRQgghhBBCCCGEOIVJcUcIIYQQQgghhBDiFCbFHSGEEEIIIYQQQohTmBR3hBBCCCGEEEIIIU5hUtwRQgghhDjM9OnTGT58eEcPQwghhBDiuKkURVE6ehBCCCGEED8ElUp11Pgtt9zCjBkz8Pv9ZGRk/ECjEkIIIYT4fqS4I4QQQojTRk1NTfR/z5kzhz/+8Y/s3r07esxkMmG32ztiaEIIIYQQJ0yWZQkhhBDitJGbmxv9Z7fbUalUcceOXJZ16623ctVVV/HUU0+Rk5NDamoqTzzxBKFQiP/+7/8mPT2d/Px8Zs6cGfNalZWVXH/99aSlpZGRkcGkSZMoKyv7Yd+wEEIIIU4LUtwRQgghhDiGxYsXU1VVxfLly3nhhReYPn06V1xxBWlpaaxdu5Z77rmHe+65hwMHDgDg8Xg4//zzsVqtLF++nJUrV2K1WrnkkksIBAId/G6EEEII8VMjxR0hhBBCiGNIT0/nb3/7G/369eP222+nX79+eDweHn30Ufr06cMjjzyCXq9n1apVAMyePRu1Ws2bb77JkCFDGDBgALNmzaK8vJylS5d27JsRQgghxE+OtqMHIIQQQgjxYzdo0CDU6kN/E8vJyWHw4MHR/9ZoNGRkZFBXVwfAxo0bKS4uJiUlJeY+Pp+PkpKSH2bQQgghhDhtSHFHCCGEEOIYdDpdzH+rVKqExyKRCACRSIRRo0bx/vvvx90rKyvrPzdQIYQQQpyWpLgjhBBCCHGSjRw5kjlz5pCdnY3NZuvo4QghhBDiJ0567gghhBBCnGRTpkwhMzOTSZMmsWLFCvbt28eyZct44IEHqKio6OjhCSGEEOInRoo7QgghhBAnmdlsZvny5XTt2pWrr76aAQMGcPvtt+P1emUmjxBCCCFOOpWiKEpHD0IIIYQQQgghhBBCnBiZuSOEEEIIIYQQQghxCpPijhBCCCGEEEIIIcQpTIo7QgghhBBCCCGEEKcwKe4IIYQQQgghhBBCnMKkuCOEEEIIIYQQQghxCpPijhBCCCGEEEIIIcQpTIo7QgghhBBCCCGEEKcwKe4IIYQQQgghhBBCnMKkuCOEEEIIIYQQQghxCpPijhBCCCGEEEIIIcQpTIo7QgghhBBCCCGEEKcwKe4IIYQQQgghhBBCnML+PzDQO+CAnPJlAAAAAElFTkSuQmCC",
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",
       "text/plain": [
        "<Figure size 1400x600 with 1 Axes>"
       ]
@@ -983,7 +1014,6 @@
     "tlca.dynamic_lcia(\n",
     "    metric=\"radiative_forcing\",\n",
     "    time_horizon=100,\n",
-    "    characterization_function_dict=characterization_function_dict,\n",
     ")\n",
     "tlca.plot_dynamic_characterized_inventory()\n",
     "\n",
@@ -994,13 +1024,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 51,
    "id": "4668245f",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1400x600 with 1 Axes>"
       ]
@@ -1023,7 +1053,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 52,
    "id": "9cae721c",
    "metadata": {},
    "outputs": [
@@ -1031,13 +1061,13 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1400x600 with 1 Axes>"
       ]
@@ -1057,7 +1087,6 @@
     "tlca.dynamic_lcia(\n",
     "    metric=\"GWP\",\n",
     "    time_horizon=100,\n",
-    "    characterization_function_dict=characterization_function_dict,\n",
     ")\n",
     "tlca.plot_dynamic_characterized_inventory()\n",
     "print(\n",
@@ -1075,7 +1104,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 53,
    "id": "a2027c21",
    "metadata": {},
    "outputs": [
@@ -1083,45 +1112,45 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n",
-      "/Users/timodiepers/Documents/Coding/dynamic_characterization/dynamic_characterization/dynamic_characterization.py:258: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
+      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.11/site-packages/dynamic_characterization/dynamic_characterization.py:81: UserWarning: No custom dynamic characterization functions provided. Using default dynamic characterization functions.                The flows that are characterized are based on the selection of the initially chosen impact category.                You can look up the mapping in the bw_timex.dynamic_characterizer.characterization_function_dict.\n",
       "  warnings.warn(\n"
      ]
     }
@@ -1138,7 +1167,6 @@
     "        metric=\"GWP\",\n",
     "        time_horizon=time_horizon,\n",
     "        fixed_time_horizon=True,\n",
-    "        characterization_function_dict=characterization_function_dict,\n",
     "    )\n",
     "    gwp_fixed_TH[time_horizon] = tlca.dynamic_score\n",
     "\n",
@@ -1146,7 +1174,6 @@
     "        metric=\"GWP\",\n",
     "        time_horizon=time_horizon,\n",
     "        fixed_time_horizon=False,\n",
-    "        characterization_function_dict=characterization_function_dict,\n",
     "    )\n",
     "    gwp_flexible_TH[time_horizon] = tlca.dynamic_score\n",
     "\n",
@@ -1155,7 +1182,6 @@
     "    metric=\"GWP\",\n",
     "    time_horizon=500,\n",
     "    fixed_time_horizon=True,\n",
-    "    characterization_function_dict=characterization_function_dict,\n",
     ")\n",
     "gwp_fixed_TH[500] = tlca.dynamic_score\n",
     "\n",
@@ -1163,7 +1189,6 @@
     "    metric=\"GWP\",\n",
     "    time_horizon=500,\n",
     "    fixed_time_horizon=False,\n",
-    "    characterization_function_dict=characterization_function_dict,\n",
     ")\n",
     "gwp_flexible_TH[500] = tlca.dynamic_score\n",
     "\n",
@@ -1178,7 +1203,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 54,
    "id": "f62763da",
    "metadata": {},
    "outputs": [
@@ -1212,61 +1237,61 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>20</td>\n",
-       "      <td>60.238109</td>\n",
+       "      <td>56.289341</td>\n",
        "      <td>74.144077</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>30</td>\n",
-       "      <td>63.544384</td>\n",
+       "      <td>61.835629</td>\n",
        "      <td>66.502783</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>40</td>\n",
-       "      <td>60.862548</td>\n",
+       "      <td>59.907858</td>\n",
        "      <td>60.944071</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>50</td>\n",
-       "      <td>57.576457</td>\n",
+       "      <td>56.939684</td>\n",
        "      <td>56.883182</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>60</td>\n",
-       "      <td>54.678061</td>\n",
+       "      <td>54.201931</td>\n",
        "      <td>53.825761</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>70</td>\n",
-       "      <td>52.268972</td>\n",
+       "      <td>51.887404</td>\n",
        "      <td>51.439676</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
        "      <td>80</td>\n",
-       "      <td>50.271353</td>\n",
+       "      <td>49.952471</td>\n",
        "      <td>49.511978</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
        "      <td>90</td>\n",
-       "      <td>48.591039</td>\n",
+       "      <td>48.317374</td>\n",
        "      <td>47.906378</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
        "      <td>100</td>\n",
-       "      <td>47.151518</td>\n",
+       "      <td>46.912377</td>\n",
        "      <td>46.534397</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
        "      <td>500</td>\n",
-       "      <td>30.084113</td>\n",
+       "      <td>30.052980</td>\n",
        "      <td>29.977030</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1275,19 +1300,19 @@
       ],
       "text/plain": [
        "   Time horizon  GWP (fixed time horizon)  GWP (flexible time horizon)\n",
-       "0            20                 60.238109                    74.144077\n",
-       "1            30                 63.544384                    66.502783\n",
-       "2            40                 60.862548                    60.944071\n",
-       "3            50                 57.576457                    56.883182\n",
-       "4            60                 54.678061                    53.825761\n",
-       "5            70                 52.268972                    51.439676\n",
-       "6            80                 50.271353                    49.511978\n",
-       "7            90                 48.591039                    47.906378\n",
-       "8           100                 47.151518                    46.534397\n",
-       "9           500                 30.084113                    29.977030"
+       "0            20                 56.289341                    74.144077\n",
+       "1            30                 61.835629                    66.502783\n",
+       "2            40                 59.907858                    60.944071\n",
+       "3            50                 56.939684                    56.883182\n",
+       "4            60                 54.201931                    53.825761\n",
+       "5            70                 51.887404                    51.439676\n",
+       "6            80                 49.952471                    49.511978\n",
+       "7            90                 48.317374                    47.906378\n",
+       "8           100                 46.912377                    46.534397\n",
+       "9           500                 30.052980                    29.977030"
       ]
      },
-     "execution_count": 40,
+     "execution_count": 54,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1321,7 +1346,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.10"
   }
  },
  "nbformat": 4,