model_2d_compare.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 192,
   "id": "d14bc10e-aae8-45e2-9712-caa9882eb440",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import arviz as az\n",
    "from pathlib import Path\n",
    "import json_numpy\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 322,
   "id": "5aa9b774-8cc5-4edd-89ba-d5f35840eb80",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>model_hash</th>\n",
       "      <th>data_hash</th>\n",
       "      <th>model_source</th>\n",
       "      <th>utc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>C52ZBA</th>\n",
       "      <td>e06d16dfaa7251fbeaea38aa4ece6a5f241429a7d478c7...</td>\n",
       "      <td>13083f90a5f5670621109e45161f0de0077122452a4215...</td>\n",
       "      <td>def model_2d(\\n    beds,\\n    bathrooms,\\n    ...</td>\n",
       "      <td>2022-08-13 10:09:05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6XCMKw</th>\n",
       "      <td>e06d16dfaa7251fbeaea38aa4ece6a5f241429a7d478c7...</td>\n",
       "      <td>f4a802a8f4ab63b1219563a479bf7c3c60d1833533fde9...</td>\n",
       "      <td>def model_2d(\\n    beds,\\n    bathrooms,\\n    ...</td>\n",
       "      <td>2022-08-13 11:44:34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>O0bXtA</th>\n",
       "      <td>e06d16dfaa7251fbeaea38aa4ece6a5f241429a7d478c7...</td>\n",
       "      <td>649a00da69c07c70cc95a8700abaf092aeeef8796530b5...</td>\n",
       "      <td>def model_2d(\\n    beds,\\n    bathrooms,\\n    ...</td>\n",
       "      <td>2022-08-13 08:25:29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vapCNA</th>\n",
       "      <td>e06d16dfaa7251fbeaea38aa4ece6a5f241429a7d478c7...</td>\n",
       "      <td>3a34a039f2e4c0d89e9b6e8cf383e5e6c828c33eafe6b7...</td>\n",
       "      <td>def model_2d(\\n    beds,\\n    bathrooms,\\n    ...</td>\n",
       "      <td>2022-08-13 08:55:29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OwnvlQ</th>\n",
       "      <td>e06d16dfaa7251fbeaea38aa4ece6a5f241429a7d478c7...</td>\n",
       "      <td>e5fcf702023eda5f090a3e54e790a72e2a95e4480b0273...</td>\n",
       "      <td>def model_2d(\\n    beds,\\n    bathrooms,\\n    ...</td>\n",
       "      <td>2022-08-13 08:14:57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hCrxiQ</th>\n",
       "      <td>e06d16dfaa7251fbeaea38aa4ece6a5f241429a7d478c7...</td>\n",
       "      <td>67b0c52e87edf2e93a906080ce3adffd046d56dc3625d7...</td>\n",
       "      <td>def model_2d(\\n    beds,\\n    bathrooms,\\n    ...</td>\n",
       "      <td>2022-08-13 08:34:19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H_COgw</th>\n",
       "      <td>b3e7577f3f2b92f65ac921dbaa47fc3f7d29af47d92b20...</td>\n",
       "      <td>30d0097c4ca70fc1bcc88329fc07b9150e875cb4f3c997...</td>\n",
       "      <td>def model_orig(\\n    beds,\\n    bathrooms,\\n  ...</td>\n",
       "      <td>2022-08-13 08:12:06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>_MkKAA</th>\n",
       "      <td>e06d16dfaa7251fbeaea38aa4ece6a5f241429a7d478c7...</td>\n",
       "      <td>f5959356d1d3fea5482107f7acfe624fe78c7009b639e6...</td>\n",
       "      <td>def model_2d(\\n    beds,\\n    bathrooms,\\n    ...</td>\n",
       "      <td>2022-08-13 08:20:49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               model_hash  \\\n",
       "C52ZBA  e06d16dfaa7251fbeaea38aa4ece6a5f241429a7d478c7...   \n",
       "6XCMKw  e06d16dfaa7251fbeaea38aa4ece6a5f241429a7d478c7...   \n",
       "O0bXtA  e06d16dfaa7251fbeaea38aa4ece6a5f241429a7d478c7...   \n",
       "vapCNA  e06d16dfaa7251fbeaea38aa4ece6a5f241429a7d478c7...   \n",
       "OwnvlQ  e06d16dfaa7251fbeaea38aa4ece6a5f241429a7d478c7...   \n",
       "hCrxiQ  e06d16dfaa7251fbeaea38aa4ece6a5f241429a7d478c7...   \n",
       "H_COgw  b3e7577f3f2b92f65ac921dbaa47fc3f7d29af47d92b20...   \n",
       "_MkKAA  e06d16dfaa7251fbeaea38aa4ece6a5f241429a7d478c7...   \n",
       "\n",
       "                                                data_hash  \\\n",
       "C52ZBA  13083f90a5f5670621109e45161f0de0077122452a4215...   \n",
       "6XCMKw  f4a802a8f4ab63b1219563a479bf7c3c60d1833533fde9...   \n",
       "O0bXtA  649a00da69c07c70cc95a8700abaf092aeeef8796530b5...   \n",
       "vapCNA  3a34a039f2e4c0d89e9b6e8cf383e5e6c828c33eafe6b7...   \n",
       "OwnvlQ  e5fcf702023eda5f090a3e54e790a72e2a95e4480b0273...   \n",
       "hCrxiQ  67b0c52e87edf2e93a906080ce3adffd046d56dc3625d7...   \n",
       "H_COgw  30d0097c4ca70fc1bcc88329fc07b9150e875cb4f3c997...   \n",
       "_MkKAA  f5959356d1d3fea5482107f7acfe624fe78c7009b639e6...   \n",
       "\n",
       "                                             model_source                  utc  \n",
       "C52ZBA  def model_2d(\\n    beds,\\n    bathrooms,\\n    ...  2022-08-13 10:09:05  \n",
       "6XCMKw  def model_2d(\\n    beds,\\n    bathrooms,\\n    ...  2022-08-13 11:44:34  \n",
       "O0bXtA  def model_2d(\\n    beds,\\n    bathrooms,\\n    ...  2022-08-13 08:25:29  \n",
       "vapCNA  def model_2d(\\n    beds,\\n    bathrooms,\\n    ...  2022-08-13 08:55:29  \n",
       "OwnvlQ  def model_2d(\\n    beds,\\n    bathrooms,\\n    ...  2022-08-13 08:14:57  \n",
       "hCrxiQ  def model_2d(\\n    beds,\\n    bathrooms,\\n    ...  2022-08-13 08:34:19  \n",
       "H_COgw  def model_orig(\\n    beds,\\n    bathrooms,\\n  ...  2022-08-13 08:12:06  \n",
       "_MkKAA  def model_2d(\\n    beds,\\n    bathrooms,\\n    ...  2022-08-13 08:20:49  "
      ]
     },
     "execution_count": 322,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res_args = {}\n",
    "res_data = {}\n",
    "for p in Path('models').glob('*args.json'):\n",
    "    token = p.name.split('.')[0]\n",
    "    with open(p, 'r') as f:\n",
    "        dct = json_numpy.load(f)\n",
    "    res_args[token] = dct\n",
    "    \n",
    "    p2 = Path('models') / f\"{token}.data.json\"\n",
    "    with open(p2, 'r') as f:\n",
    "        dct = json_numpy.load(f)\n",
    "    res_data[token] = dct\n",
    "pd.DataFrame(res_args).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 323,
   "id": "e609fe30-b7ac-4a89-ac9d-6716c6219aa9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "C52ZBA     16\n",
       "6XCMKw     18\n",
       "O0bXtA      5\n",
       "vapCNA     12\n",
       "OwnvlQ      4\n",
       "hCrxiQ      8\n",
       "H_COgw    NaN\n",
       "_MkKAA      3\n",
       "Name: M, dtype: object"
      ]
     },
     "execution_count": 323,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(res_data).T['M']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 324,
   "id": "3377c462-8c9c-4d2e-b3ba-80d65e748a45",
   "metadata": {},
   "outputs": [],
   "source": [
    "del idatas\n",
    "idatas = {token:az.from_netcdf(f'models/{token}.cdf') for token in res_args.keys()}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 325,
   "id": "0b5c26fa-4815-44de-9d8c-59d4d5911d07",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rank</th>\n",
       "      <th>loo</th>\n",
       "      <th>p_loo</th>\n",
       "      <th>d_loo</th>\n",
       "      <th>weight</th>\n",
       "      <th>se</th>\n",
       "      <th>dse</th>\n",
       "      <th>warning</th>\n",
       "      <th>loo_scale</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6XCMKw</th>\n",
       "      <td>0</td>\n",
       "      <td>-965.867</td>\n",
       "      <td>127.206</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.922</td>\n",
       "      <td>80.573</td>\n",
       "      <td>0.000</td>\n",
       "      <td>False</td>\n",
       "      <td>log</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C52ZBA</th>\n",
       "      <td>1</td>\n",
       "      <td>-1001.049</td>\n",
       "      <td>119.506</td>\n",
       "      <td>35.182</td>\n",
       "      <td>0.000</td>\n",
       "      <td>80.373</td>\n",
       "      <td>6.351</td>\n",
       "      <td>False</td>\n",
       "      <td>log</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vapCNA</th>\n",
       "      <td>2</td>\n",
       "      <td>-1102.350</td>\n",
       "      <td>91.453</td>\n",
       "      <td>136.483</td>\n",
       "      <td>0.000</td>\n",
       "      <td>80.183</td>\n",
       "      <td>16.428</td>\n",
       "      <td>False</td>\n",
       "      <td>log</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hCrxiQ</th>\n",
       "      <td>3</td>\n",
       "      <td>-1297.188</td>\n",
       "      <td>81.061</td>\n",
       "      <td>331.321</td>\n",
       "      <td>0.000</td>\n",
       "      <td>80.058</td>\n",
       "      <td>27.807</td>\n",
       "      <td>False</td>\n",
       "      <td>log</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>O0bXtA</th>\n",
       "      <td>4</td>\n",
       "      <td>-1479.457</td>\n",
       "      <td>52.314</td>\n",
       "      <td>513.590</td>\n",
       "      <td>0.019</td>\n",
       "      <td>80.345</td>\n",
       "      <td>35.164</td>\n",
       "      <td>False</td>\n",
       "      <td>log</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H_COgw</th>\n",
       "      <td>5</td>\n",
       "      <td>-1492.276</td>\n",
       "      <td>56.955</td>\n",
       "      <td>526.409</td>\n",
       "      <td>0.043</td>\n",
       "      <td>79.635</td>\n",
       "      <td>34.910</td>\n",
       "      <td>False</td>\n",
       "      <td>log</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OwnvlQ</th>\n",
       "      <td>6</td>\n",
       "      <td>-1513.570</td>\n",
       "      <td>47.155</td>\n",
       "      <td>547.703</td>\n",
       "      <td>0.010</td>\n",
       "      <td>80.272</td>\n",
       "      <td>36.211</td>\n",
       "      <td>False</td>\n",
       "      <td>log</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>_MkKAA</th>\n",
       "      <td>7</td>\n",
       "      <td>-1673.009</td>\n",
       "      <td>41.682</td>\n",
       "      <td>707.142</td>\n",
       "      <td>0.006</td>\n",
       "      <td>80.086</td>\n",
       "      <td>40.425</td>\n",
       "      <td>False</td>\n",
       "      <td>log</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        rank       loo    p_loo    d_loo  weight      se     dse  warning  \\\n",
       "6XCMKw     0  -965.867  127.206    0.000   0.922  80.573   0.000    False   \n",
       "C52ZBA     1 -1001.049  119.506   35.182   0.000  80.373   6.351    False   \n",
       "vapCNA     2 -1102.350   91.453  136.483   0.000  80.183  16.428    False   \n",
       "hCrxiQ     3 -1297.188   81.061  331.321   0.000  80.058  27.807    False   \n",
       "O0bXtA     4 -1479.457   52.314  513.590   0.019  80.345  35.164    False   \n",
       "H_COgw     5 -1492.276   56.955  526.409   0.043  79.635  34.910    False   \n",
       "OwnvlQ     6 -1513.570   47.155  547.703   0.010  80.272  36.211    False   \n",
       "_MkKAA     7 -1673.009   41.682  707.142   0.006  80.086  40.425    False   \n",
       "\n",
       "       loo_scale  \n",
       "6XCMKw       log  \n",
       "C52ZBA       log  \n",
       "vapCNA       log  \n",
       "hCrxiQ       log  \n",
       "O0bXtA       log  \n",
       "H_COgw       log  \n",
       "OwnvlQ       log  \n",
       "_MkKAA       log  "
      ]
     },
     "execution_count": 325,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "az.compare(idatas).round(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 412,
   "id": "b2bc0f4e-e484-4d08-ab77-01c8fb7f35a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>sd</th>\n",
       "      <th>hdi_3%</th>\n",
       "      <th>hdi_97%</th>\n",
       "      <th>mcse_mean</th>\n",
       "      <th>mcse_sd</th>\n",
       "      <th>ess_bulk</th>\n",
       "      <th>ess_tail</th>\n",
       "      <th>r_hat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>a</th>\n",
       "      <td>-0.628</td>\n",
       "      <td>0.086</td>\n",
       "      <td>-0.790</td>\n",
       "      <td>-0.474</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.001</td>\n",
       "      <td>2798.0</td>\n",
       "      <td>2698.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scale</th>\n",
       "      <td>0.205</td>\n",
       "      <td>0.004</td>\n",
       "      <td>0.198</td>\n",
       "      <td>0.212</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>6037.0</td>\n",
       "      <td>2877.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta_baths</th>\n",
       "      <td>0.184</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.172</td>\n",
       "      <td>0.195</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>7755.0</td>\n",
       "      <td>3083.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta_beds</th>\n",
       "      <td>0.218</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.209</td>\n",
       "      <td>0.228</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>7503.0</td>\n",
       "      <td>3238.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta_is_new_home</th>\n",
       "      <td>0.166</td>\n",
       "      <td>0.011</td>\n",
       "      <td>0.143</td>\n",
       "      <td>0.186</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>9371.0</td>\n",
       "      <td>2745.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta[139]</th>\n",
       "      <td>-1.118</td>\n",
       "      <td>0.654</td>\n",
       "      <td>-2.289</td>\n",
       "      <td>0.184</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.007</td>\n",
       "      <td>6323.0</td>\n",
       "      <td>3011.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta[140]</th>\n",
       "      <td>-2.074</td>\n",
       "      <td>0.647</td>\n",
       "      <td>-3.289</td>\n",
       "      <td>-0.893</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.006</td>\n",
       "      <td>5876.0</td>\n",
       "      <td>3138.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta[141]</th>\n",
       "      <td>-1.148</td>\n",
       "      <td>0.596</td>\n",
       "      <td>-2.268</td>\n",
       "      <td>-0.016</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.006</td>\n",
       "      <td>5334.0</td>\n",
       "      <td>3416.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta[142]</th>\n",
       "      <td>-1.420</td>\n",
       "      <td>0.547</td>\n",
       "      <td>-2.394</td>\n",
       "      <td>-0.341</td>\n",
       "      <td>0.007</td>\n",
       "      <td>0.006</td>\n",
       "      <td>5602.0</td>\n",
       "      <td>3205.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta[143]</th>\n",
       "      <td>-0.345</td>\n",
       "      <td>0.501</td>\n",
       "      <td>-1.255</td>\n",
       "      <td>0.641</td>\n",
       "      <td>0.007</td>\n",
       "      <td>0.006</td>\n",
       "      <td>5310.0</td>\n",
       "      <td>3193.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>152 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
       "a                -0.628  0.086  -0.790   -0.474      0.002    0.001    2798.0   \n",
       "scale             0.205  0.004   0.198    0.212      0.000    0.000    6037.0   \n",
       "beta_baths        0.184  0.006   0.172    0.195      0.000    0.000    7755.0   \n",
       "beta_beds         0.218  0.005   0.209    0.228      0.000    0.000    7503.0   \n",
       "beta_is_new_home  0.166  0.011   0.143    0.186      0.000    0.000    9371.0   \n",
       "...                 ...    ...     ...      ...        ...      ...       ...   \n",
       "beta[139]        -1.118  0.654  -2.289    0.184      0.008    0.007    6323.0   \n",
       "beta[140]        -2.074  0.647  -3.289   -0.893      0.008    0.006    5876.0   \n",
       "beta[141]        -1.148  0.596  -2.268   -0.016      0.008    0.006    5334.0   \n",
       "beta[142]        -1.420  0.547  -2.394   -0.341      0.007    0.006    5602.0   \n",
       "beta[143]        -0.345  0.501  -1.255    0.641      0.007    0.006    5310.0   \n",
       "\n",
       "                  ess_tail  r_hat  \n",
       "a                   2698.0    1.0  \n",
       "scale               2877.0    1.0  \n",
       "beta_baths          3083.0    1.0  \n",
       "beta_beds           3238.0    1.0  \n",
       "beta_is_new_home    2745.0    1.0  \n",
       "...                    ...    ...  \n",
       "beta[139]           3011.0    1.0  \n",
       "beta[140]           3138.0    1.0  \n",
       "beta[141]           3416.0    1.0  \n",
       "beta[142]           3205.0    1.0  \n",
       "beta[143]           3193.0    1.0  \n",
       "\n",
       "[152 rows x 9 columns]"
      ]
     },
     "execution_count": 412,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idata = idatas['vapCNA']\n",
    "az.summary(idata, var_names=['a', 'scale', 'beta_baths', 'beta_beds', 'beta_is_new_home', 'df', 'alpha', 'rho', 'beta'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 413,
   "id": "6abe97c7-99d5-44c2-b961-726c0f6c9902",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sample\n",
    "import importlib\n",
    "importlib.reload(sample)\n",
    "import numpyro\n",
    "import jax.random as jrnd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 414,
   "id": "9817e42a-6a61-47ac-aac4-1f41cf81da87",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['dims', 'coords', 'observed', 'data'])"
      ]
     },
     "execution_count": 414,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = sample.get_data()\n",
    "data.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 415,
   "id": "85b38aff-278b-4c81-862a-6b2464b6deca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Trace Shapes:      \n",
      " Param Sites:      \n",
      "Sample Sites:      \n",
      "   alpha dist     |\n",
      "        value     |\n",
      "     rho dist     |\n",
      "        value     |\n",
      " plate_ plate 324 |\n",
      "    beta dist 324 |\n",
      "        value 324 |\n"
     ]
    }
   ],
   "source": [
    "with numpyro.handlers.seed(rng_seed=4):\n",
    "    trace = numpyro.handlers.trace(sample.model_just_2d).get_trace(G=data['data']['G'], M=18, L=1.5)\n",
    "print( numpyro.util.format_shapes(trace) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 416,
   "id": "8cbac83e-41ac-4cbd-bede-81bd738026f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "samples = {key:idata.posterior[key].values for key in ['alpha', 'rho', 'beta']}\n",
    "samples = {key:value.reshape(4000) if value.ndim==2 else value.reshape(4000, -1) for key, value in samples.items()}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 417,
   "id": "2e207c1f-3621-4e61-9e35-2af9c69fde7d",
   "metadata": {},
   "outputs": [],
   "source": [
    "xx1_test, xx2_test = np.meshgrid(np.linspace(-1, 1, 101), np.linspace(-1, 1, 101))\n",
    "G_test = np.c_[xx1_test.ravel(), xx2_test.ravel()]\n",
    "ppc = numpyro.infer.Predictive(sample.model_just_2d, samples)(jrnd.PRNGKey(4), G=G_test, M=12, L=1.5)['f']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 418,
   "id": "9ac1ef50-ff84-42b7-9c9a-779940e61956",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(xx1_test, xx2_test, c=ppc.mean(0));\n",
    "plt.scatter(data['data']['G'][:, 0], data['data']['G'][:, 1], c='red', s=4);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 419,
   "id": "98cbc624-2628-4c86-b969-fb51fd4c2403",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.39364095, -0.51169158])"
      ]
     },
     "execution_count": 419,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['data']['G'].mean(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 420,
   "id": "fb7e3ff4-3917-4c0b-a8d8-ada171798265",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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q6HCEEFWYJEFCCCGEKDdeshGnEOIiINPhhBBCCCGEEFWKJEFCCCGEKGLXtlj27T5W0WEIIcQFI9PhhBBCCAHA/j0JvPH8r8QeSsFiMfHKB9fTrlNkRYclhBBlTpIgIYQQoopzOt1M+mwhv/6wsvCY29DEx6ZKEiSEuCTJdDghhBCiipv31yZ++2lVkWNul5s1y3ZXUERCCHFhSRIkhLikRO85wh/Lt2J3uio6FCEqjaBgX04uWK0UoGHNshhm/7GevbuOVlRoQghxQUgSJISo1DbGxLJ1f8EHtD2xSTw4/k/e/mUx7/+6pIIjE6Ly6NKrMSHV/TCbTdSoHcjVYzqjFJhMik/f/pvHbv+KlKSsig5TCCHKjKwJEkJUWv9E7+blSf8A8NbdVxLo5wWA2zDId8hIkBClZbg1KYlZGIYm8WgGFrMZk8mE222gDY3VasYpf6aEEJcQGQkSQlRaR5MzcbsNXG6D2at30rh2KP+7eRB3XNaJJ0b2qejwhKg0zBYTV1wbBYBhaLZsPITJrDCbTfQe1IJn3riOGrWDKjhKUVoxh5PocftHdLv1A1ZvOVjs/JINe3n/x8UkpWWXf3BCXCRkJEgIUWmN7NuWbQePsWTDXhZF7yEs0JeHrusFwKaYON6fspjuretz97BuFRypEBe/8LrBha93bYsDrQE4sC+RZ/o0raiwxDn4ZvpqnC43AF/+sYourSMKz23YdYQnP5oBwKLoPcz8YCwAeXYnE35dzvQl26hfK5gJz4zEy8Na7rELUV5kJEgIUWm4DYMXJ87mumcnsXVfPF4eVkb1aYvNbEYDjuP/6AO8/t08dhxMYNKsdcQmpVdYzEJUFtNOKo8NuvBVZnpu+QcjzsuVPVsUvr6qV4si5w4fSyt8ffK04de+nsvU+ZvIszvZG5vM1r3xFz5QISqQjAQJISqN7fuPsWh9DPkOF5/8soyJz4wiqmkdnr91EAkpmYzs366wbbuGtYlPysTHy0aIv08FRi1E5dCoSU2SEwqKH9SLrMahfUkAXHdz94oMS5yD7m0jWTTxAVxuA38fzyLnLuvWnKUb9hGbmMGr91xeeDzP7kQBWkGgrxfN69co56iFKF+SBAkhyp3d4SIhNYs6YYEopc7c4bh6NYLw8rDiNjQ92zUoPD6kc/GpOk/fNIBr+7ahdmiATOkQohSe/b/r+Pv3aEKq+7Fj0xGOHEzGYjFTo5asBaqMvD1tJR73sFl4/7Grix1/4Y7BTPlnA43rVadfVKOz+rtZiMpIaa3P3OoiExUVpaOjoys6DCHEOXC63Fz3zCSS0rK5skcL2jcN573vFxEc4M0Hj11NzVD/0/bPszvJyM6nRohfOUUsRNWTk53Pt58tIDjEj9G39cBkktnzQojKRym1XmsdVeI5SYKEEOUpMS2L4U98jcttUCvUn5T0HOzOgrU8g7o04bV7ryjS3u5wYbOay/xbyejth8nIyadvVCNMJvnGUwghhLjUnC4Jkq92hBDlxu5wMXvFTjo2q0u9GkE8en0falcLAEABLSKLzkH/8veV9L7jY+58ZQpuw0BrTWJKFm7DOK841u88wuPv/8krX8zhp9nyhYoQomrKys0/779PhaisZE2QEKLcfDtjDd/PjsZsUrx+3xV8/9c64pMyCQvy5bX7rqBN49pF2s9Ysg0N7DqQQHJ6Dh9MXsjyjftp2bAmn784+pzjyM6xAwXV5jKy88/nkYQQolL69p91fDpzBbVCAvjl2ZvwtMlHQlG1yEiQEOK8JKRm8cb38/l75Y5i53YfSuS2V37i3R8WYhgaT09r4dQzm9VCzJFk7A4Xyek5tGhQs1j/O4d3wcfLRt+Ojage5MvqrYdwuQ02747D5T73by97tm/APdf14IbLorh9WJdzvo4QQlRWs9ftwm1oYpPSmb56e0WHI0S5k7RfCHFeXvl2Lut2HuGvFTtoHhFG/Vohhefe/2kR2/cfY19sMg3rhPLP6l20aVSLkQPb0bllPf539xC++2sd1/Zvg8Vc/DuZYX1bM6xv68L3D17fi8nT13JN/9Ylti8tk0kxZkj7c+4vhBCV3Z2XdWbc139jAJ/NWsmoXm0qOiQhypUkQUKI8xIS4IPNagaKl2Tt0LQO2/cdxeUyeOPb+WgNHlYzD4/uzfTFW1m/4wiGYZBvd5bqXtcOaMu1A9oCkJ1rZ+LU5QQH+nDzsM5S3EAIIc7CgLaNqB0WQGJGDq3qFx+JF+JSJ0mQEOKsTZy+kq//WkPvtg149a7L6N6qPg1qhxDg7UFmbj7+3gWb813Xrw1/LNpCSsaJHee9vWwcS87k/e8XFe5WvvtgIoO6NsXX26PUMXz160r+WLAFi8VERHgIfTo2KnLe5XKjlMJ8mhGjw/Gp5OY5adog7GweXwghKj2TSfHLuJs4mJBKo9qhFR2OEOVOkiAhxFmbsmATbkOzaONenC6DEH9vPp66lFXbDgHQqVkdPG1Wlm3cX6Rfl5b1eOOBqzgYn4LjeFlsgJBAHzzPckPTsBA/LBYTWheMRp1s2554Hnp5Glarma/fuIHwmsU3e9y59xj3vzQVgCfuHMDlfVuc1f2FEKKy8/aw0ryufAkkqiZJgoQQZ23MgHZ8NXM1fds3ZMWW/bw2aR759oJRHTSs3XkE00l1C5SCy7o1539jh+B0ufnln438u0eZ2aT45OkRZ1zj43C6MJtNmI9v2jj68g7UqxVMgJ8XLRoWncqxZE0MdocLw9CMfe4nPKwWPnrpOurWCi5sc/hoGgBOp4vPf1jK4bgU7r6hp+ySLoS45GiteeXPBSzasZ9xV/bmsjZNTtnum6XRbDpylMeH9CQitPgXSEJcKqQ6nBDirN01tCtrvnyUN++9iqT0HNzG8U2XT957+Xgu0bBOKF+/MIb/jR3Cxt2x9L7jI+as3FXYdNxtA4ioGczprFi/jwG3fMKwe78g9fjUOqUU3dpFFkuA5i7dwZ/zNmOzmfHxtpGdk09Sahb/LNtZ2EZrza498djMJjysFlLTc/jlr/Ucikstcq3U9Bz+mr+VY4kZZOfm88ecTSSmZJ71z0sIISpSQmY2v0dvJykrh/dmLztlu11Hk/h04WoW7tjHy38uKMcIhSh/MhIkhChm+optbIqJY1BUY/y8PWkZWfKiWbvTRdN61bmmdytsVgtHjqWzfNNeDK1oElGNkf3bcXn35oVFCxau2cPJla1NJsWwPq2AgsRkcfReTAqitx3m0NFUxo7oTpP6YXz351pcboOcXDtb98TR+z/rf0729bRV5OY5sVrMvPjg5bzw/gzcbk2PqAaFbeITMvhz3hacTjd+Ph5omwVPDyuhQb5FrnX/81NISM7EajGjtSY3z8mHXynmT3kEq8V8rj9eIYQoV6G+PtQPDWJ/UiqDWp76789QX29MSuFptdAg7PRfTglR2UkSJIQo4uCxVN76cSEOp4u/VuzAajZxTe9W1A0Lonm9GrQ8vp/Pm9/N47dFWwGoEeLHm/deyXs/LaZN43CC/Lx4ZHQfwkL8ilx7eN/WLIqOId/hIiTAm9fuuwKAb6ev5uvfVuE2DCxmMwqN02kQvfUwwf7eZGUVbG5qs1qIalH3tPFf2a8lE39eQf06IXRoWYfZ3z6AhiLT7UKCfAjy9yYtM5c+XRvjcLgIDfYjJS2brJx8FFCjegA5OXYcdjcOu7twZMttaHJy7QT6e5fBT1sIIS48i9nEbw/fSEZuPsG+p/67q5q/L9MfvpnDKel0igwvxwiFKH/q33n5lUlUVJSOjo6u6DCEuCQlZ+Qw/LlvcbncGG4DQ+vCaW4KeOPeKzkYl8IXf6460emk80rB18+PKUyWziQhNZNhD35Z+N5iNmFC4XK70QZYzeaC/ENDvy6NeenBy894Tbvdic1mOe36nny7k+TUbN7/cj5rNx0q8gwADSOqYWjN/kPJaMBkVtisZvp2a8JzD15WqmcTQgghRMVRSq3XWkeVdE5GgoQQRYQG+PDD89ez+3AifyzdyvpdRwrX72hgx4Fj7DqYcMr+WkO+3cFzn/1Fvt3F/df1IDL8RPnVrXvjcTjddGhWBwDDXfSLmBuuiGJ4v9as3Lif72eso33zOlzWozkH4lK4sm/LIm3z8p3MX7GLhhHVaFI/jKvv/pzktBzq1Azkp4/u4OQcaP/hZDbviKVP18YEBXjj6WElvGYQVkvJfw3uP5yMcXytkwKGDmzN42MHSOEEIYQQ4hIgI0FCiBK5DYPPflvO97Oj0RQkQCYTTH7+BkwmxYPv/kZaZl5he5MJMMBiMdO4Tijb951IlB69vjdjhnRg9daDPPXhDACu7NGcB0b3wtvLxrR5G5m/chf3je5Jmyaln4Lx4gd/sTx6HwDvPXsNDxwveQ0FZa/NZhOd2tQjwN+LobdPwO02iKxXja/evrGwXW6eg7c+ncvClbtBg5enlbx8J/VqB+PlaWXXvgTCawby4/g7ZENWIYQQohKRkSAhxFmbu3oXU+ZvLBwFUoCHxUJiWja92zXgn4/v5bNflvLtrIIvJFpG1GDHgQQUsC82pci1xk9dxpghHUhMzQZdUFDhtwVbWLQuhs+fG8mEKcvIs7t4YfzfNIkI495RRUePTiU7147T5cZiNhPk741Jwb+F6t79cj4mBYH+3vz8ye24XG6cLoPD8anYHS48bAV//Xl72Xj5iat4On8w6Zl5xOxP5J0Jc6lfJ4SXHr8Su8OFz1ls4iqEEEKIi5+UyBZClMjfx/PEGw3+3h50a1Wfri3rFR5uUKc6JlXwF0l2vhO3oXE43eQ7XEWu5XIbbNwdS492kQzu1qRw/U1qZh4PvPEruflOtNYkpmazbMM+bnzmO2IOJZ4xxufvH8KYq6J46eHLiagTwiuPXYVSJ9b1aF0w0mO1WujUNgIo2Bdo6ZqYYtfy8rRRs3oAX/64jPSMPFZG7+PI0TRJgIQQQohLkIwECVGFrd1xiEc/+BO3YVA9yJfbh3ZheK+CktU92kRSLyyImCPJAGTm2Hnr/quK9LdZzXhYLRha07VVBNowOJKQjtmkqFszmJrBfizfdACAh97+jUBfL35/7w5mLN5eeI3E9Gz+O8lMa9h7OJlG9aqfNv7gQB/uu7FX4fuI8FAa1w/DbRjsPZRE9WA/mkWG0X/Mh4Xrg5xOg+xcO1rrEtf3DOnbgok/LKNG9QBqhQWW5scohBBCiEpGkiAhqrB3f1iEw+UG4GhKFm9Onk+7xuHUq1GwS/ioAW157dv5QNES0//q06Eh424ZQG6eg6v7tOKRMb2JTUgneucRerdvwOS/1qHUAbQGh9NNSmYufy3ZVtBZARp6tYtk+cYDgObfJYpmk6Jv51PvZXEqE6csZ/eBRDw9rLz77DV0bRfJwBs+AkAbBZXrtIYPv1zAnn0JjLtvcLFr3HBNZ4YPaYunhxVzCc8shBBCiMpPkiAhLmGHj6WxbvthendoQGigb7Hz3VrX58DR1ML3SilmLNnKFT1aEFk7hGG9WlOvRjCL1sdw25Wdi/VXSnFF9+ZFjoWHBRJ+fATlugFtWLf9EFoXJDbeXjZM5uOjL8cTnncev5qU9BxiE9IY98EMcvLsVA/2w9NmRWvNy5/NZkl0DGNHdGfMFSWubSzUqXU9Vm88gNmkiKxTsKbo6sFt+Wn6Ojw8LHjYLGRm5eM2NOs2HzrldWQKnBAXr38LOkmlRiHE+SiT6nBKqSHAR4AZ+Epr/eZ/zt8KvAPEHT80Xmv91fFztwDPHz/+mtZ68pnuJ9XhhDgzl9tg8P0TcDhd1AoNYOpbt5bYbtv+o6Rm5hCbkM5Xf64hN8+Bn48H8z69r0zjGfnUtxw6mobVYubNh65g4dq9PHZLH3w9T6w9OpacyZqtB+neNpLQIF8ysvO4/O4JGFoT6OfF7C/OHFNcQjp+Pp74+3qWeP7z75eydO1eHry1D107RJbZ8wkhLryDexN57K5vUErxwde3U7d+tYoOSQhxEbug1eGUUmbgU2AgEAusU0rN0Frv+E/TqVrrB/7TNxh4CYii4Hvh9cf7pp1vXEJUdVprnC43DqebPLvzlO1aRp7Y1HTyzHUopTCd9A1rfFIGD739GyaT4pOnRhAW4ndO8QT4euFhy8JiMhHVvB492jUs1qZGqD/D+rYujP9gXApN6ldn5/4EhvZtVar71D7DOp57burFPTf1Om0bIcTFaeXSXeTlOlBKsXrZHkmChBDnrCymw3UC9mqt9wMopaYAw4D/JkElGQzM01qnHu87DxgC/FwGcQlRpVktZj4dN4LF6/dyZc8WRc5prUnLzCPI36vIlJIvnx/N4vV76dPhRIIyZ+VO4hIzMJkU89bs5sbLTz8l7VTef3w4yzbup1Wjmnh6WM/YfsqcDUyYshSHywBg8sy1/PD3Oq4d2JbHbu5X6vsahublT2axaWcsT901gO4dGpTYLi0jh0df+ZW8PCfvPHcNdWsHl/oeQojy0at/C2ZOK/iypke/ZhUdjhCiEiuLJKg2cOSk97FA8cUDcK1SqhewB3hUa33kFH1rl0FMQlQZhqHJszvx8bIVO9eqUS1aNaoFQFZOPo+++RupGblUC/Zl296j9GzfgDcfG1bYvm6NIG6+omORa3RtXZ/JM9eilKLzSeWxz5afjyeX92h+5obH7TucVJgA/Vs+zm1ofpm7kftG9SxVIgVwMC6FJWtjcDjdTPhp2SmToCWrYzgcl4rT6WbG/C08cEufUscqhCgf4fVC+Hn24xUdhhDiElBepY9mAhFa69bAPOCM637+Syk1VikVrZSKTkpKKvMAhaiMnE43tz4xmSE3f8Lk31aftu3KTQfYeziZo0mZbNkTj2FoVh4vX306zeqHMW/Cffzz2b00qlt+U0/uHtmDnu0jsVrMRY57eli48bnv2bAztvBYXr6TjKy8YtfQWmOzmgkN8sFkUhyKS+W6h74qsW37lnWxWMxYrWZ6diw+VU8IIYQQl46ySILigDonvQ/nRAEEALTWKVpr+/G3XwEdStv3pGtM1FpHaa2jqlWTOcBCACQkZ3I4Pg1Da2Yt2nbatq0b18ZmMWO1mLmsZ3OCA7y5e2T3Ut3HZrVgs5ZvMclqQb688/jVLJ30MH9+dBeX92hOv06NMLQm9lg69//fL8xfvZv4xAyufOBzrnzgCxat3VPkGh9MXsSYJyZh9rDQuW0Ebq1JSc9h00kJ1L/q1g7mr2/vY/bkB2jTPLy8HlMIIYQQFaAsPtWsAxoppepTkMCMBq4/uYFSqqbW+ujxt0OBncdfzwX+TykVdPz9IOCZMohJiCqhVlggvTo1JHrrIe4a3eO0bWtW8+fvL+7F6XLj7Vl86tzFSilFjVB/Xrz3MhJTslix6QCagv1+5qzYidYat9vA6XKzfOM++nZqXNh3afReXG6D+IR0xo7oxqadsVQL9qVd8zol3qu8Ez0hhBBCVIzz/hdfa+1SSj1AQUJjBr7RWm9XSr0CRGutZwAPKaWGAi4gFbj1eN9UpdSrFCRSAK/8WyRBCHFmJpPilceuKnV76/GRoAspevth9sUmc2WvliWuUzof1UP8eOHuIbzw2SwMrVm38zDNG9SgZaOaJKXlcMN/1jMNH9CaaXM20qdTI/p1aUz/rk3KNB4hhBBCVE5lsk9QeZN9goS4OB2KT+Xm53/AMDR9ohry6gNXlPk94hMzuP7Z7wrLfpuUYsHE+4uNbk1fvJV3Ji/A6TLw8rDyw+s3FW7iKoQ4O2tW7eXlF36lRs1APvn8Nnx8ZENhIcTF73T7BJVXYQQhRBVgHP9SRWuN2zAuyD1qVQ/gl7dvJapZOFaLibo1g/C0nagUd+hoKlti4jkQm4LzeHU5p9vNlpj4CxKPEBc7u8PFkbhUzudLzz9+W4fD4SYxIZMd24uvqRNCiMpGJsALUcXY7U5+/n0dvr4eXHNFe0wmdeZOQMzBRCZOXUG3dvW5elBbAI4mZfDZz8to1iCMMZdHUb92CG88dCV7jyRzdb/WF+wZqgf78fHTIzh0NI3a1QIKn2HP4STuePVnFHD7VZ3o1iaCLTFHqV8rmJ7tIi9YPEJcrJxON7fc+zXJKdkM7NuccQ9fdk7XuWZER7ZsOkxYjQCat7iwhUMWL9rJO2/MpEHDMN798AZsNvmoIoQoe/I3ixBVzA+/ruGn39diMilCQ3zp061062ReGT+bfYeTWbvlEF3bR1Ij1J93vlnA6i0HWLZhH+2a1aFZZA26tY2kW9sLn3CYTSYia4cUORaflIECHC438SlZfPDENRc8DiEuZrHxqRw9lgHA6nX7S90vJuYYP32/gp69m9Kvfws6dWnIrPnj0FqzbvU+/Py8aNbywmzr98vPq7DbXezbm8D+fYk0bVbrgtxHCFG1yXQ4IaoYHx8PzCaFAny8Sj+vPyI8GE8PKx5WC37eBf3q1AjEw2bFMDSvfzGX+at2X6CoS6dnu0iu7deGflGNuPuabhUaixAXgz37EjGbC/6pb1C/YHuJV16fTt9BbzHgsnfYvedoif1e/d8fLF26m7femElGRm7h8W++WMxzT07loXsm8def6y9IzFdf2xGTSRFeJ4TIyOoX5B5CCCEjQUJUMSOHRlEtxA8/Hw86tosodb+XHric9duPEFknFJ/jSdBDN/WhS5sInnj7T/YdTubVCbMZUIEV2MwmEw+P6X1OfRNSsxj79i/YHS4+ffxaGtQOLePohCh/7VvXxc/Xk9xcOzdc14WkpEwWLdkFgNtt8NPUNbz8wvBi/WrUDCQlJRur1Yyn54k1dyevB1q1IoYrh3co1vd8DRzciv4DW5Z6qq4QQpwLSYKEqGJMJkX/nk3Pup/FYqZzm4gix8wmE13bRtKoXjUOxqfSqF7l3ch48ca9JKVl43C5mbVqJw+O6FnRIQlx3qqF+vHHD/fjNgzmzd/O+vUH8Pa2kZvrAOCKISWv3XvltRFsWH+ARo1r4uFxIgl69MnLeeieSRiG5o57+l2wuCUBEkJcaFIiWwhx3uwOF/uOJNOwbmil3XD0SEIat7z2E06XwRfjrqN5RI2KDkmIMrNh4yGeffFX3G6DIYNaMXBAcxpGhuHtfeYpsXm5Dmw2C2aLzKAXQlQupyuRXTk/rQghLioeNgvNG1Rc0uByG0xbshmTUozo3Rqz6ew/rNUJC2L+R/eh0efUX4iL2b9T2sxmE/5+nrRuWbdU/f6Zs4X33vqboGAfvpx0F35+XhcyzHJjGFpGm4So4iQJEkJUen8u38rHvy8DFB42C8O7tyzWJiffwcGEVJrWqX7KJKfgQ5F8MBKXnubNavF/r4wgKTmL/n2blbrfvLlbcbsNsrPy2ReTQNv2ERcuyHLy9pRFTFm8iVb1a/D1E6OwmOVLDyGqIkmChBCVns1qQamC5MWjhOl4Tpeba1/7jozsPHq2rM/bd15Z3iEKUeHat6t31n1uvKUHhw4mUS+iGs1bXtj9gcrD8q0HmLp4EwA7DiUQl5xBvbCgig1KCFEhJAkSQlR6V3VtjofVglIwsEPjYuez8x2kZOTgMgy2HjxWAREKUXYWLd3FxxPm0zkqknGPXVb4BcCF0KZtPX7545ELdv3ylpyZg9lswuU2qBXiT3i1gIoOSQhRQSQJEkJUekopBnc8dWnuIF8vHhzWg3827ObBoT3KMTIhyt7EbxaTlpbD/EU7uOWG7tSsIR/kS8PlNmjToBa3DuqIw+Xi7qu6yvo/IaowSYKEEFXCzQM6cPOAst/TRIjy1r9PM376ZQ3htYOoFupb0eFUGnd9OI3tB4/RqWldxt9/dUWHI4SoYJIECSGEEJXInbf2ZuS1nfDx9sAsi/pLxTA0m/fHozVE74k9cwchxCVP/vYUQgghKhl/Py9JgM6CyaR4/Jpe1A4N4Mnreld0OEKIi4CMBAkhhBDikndD/w7c0L/spsS6DYOYlBQiAgPxtFoLj6+Lj+XrTesZ2bwV/SIiy+x+QoiyJUmQEEIIIcRZum/6TJYdPEjtAH/m3nYrpuNV+u6eNYO0/DwWHNzPjrsfwmo2V3CkQoiSyFi6EEIIISrE0WPpvPfJPyxevquiQzlr6+PjsLvdHExLJ9/pKjxe288PL4uFYC8vqT4nxEVMRoKEEEKISubQ/iS++GAuLdvWZcztPS/oXkEX0stvzWTXnqPMmb+V5k1qUb2af0WHdFouw2B3YjJubeBns5HjcHJTu7Z4205Mh/vp6pGsij1Ch5q1CkeHhBAXH0mChBBCiErmozdmsn3TEbZtPESXXk2IbBRW0SGdk6BAb2w2C1prLJaLa9rY/uRU/Dw9qObrA0COw0HP8V+S6XCglQYzoGBOzB6e7XOi2IKfzYNBkQ0rKGohRGnJOK0QQghRyTRoXAMPTytmi5ngSrhXUF6+g2l/RNO7W2M04HAb3HL/N2Tn2Avb/DFnE8PumsDXU1eUe3y/bNjK1V/8wKCPv+VAShoA+1JSyXQ6ChroE23rBASWe3xCiPMnI0FCCCFEJXPv45fRa0ALaoUHExjkU2KbnycuYvZv6xlxS3eGXt+1nCM8vY8nLGD+oh2gwYkBQHaOnf0Hk2jdIhyAT39YQl6+k2+mreKWa7uc80hRrt1BnsNFiJ93qfusPxSHw+XG06rYl5RC/ZAgmodVx9tqIdfpQqHoVKs2w1o2Y1izpucUlxCiYslIkBBCCFHJmEyKVu3qEVLNr8TzWRm5TB6/gMSj6Xz25t/kZOeXc4TFJSVnsXNnPFprtKHRuuA5atcKQilFk4Y1aNa4ZmH7bu0jMZtNtGlW+5wToPjUTAa+8CWDX/ySuRt2l6rPtrhj9GoQQYd6tRnUrBG9GtUHwGIy8cW1w7CaTHiYzbSsEcao1q2KlMcWQlQeMhIkhBBCXGI8vW2YLSbcLgOTSWEyVewC/aSkTG6940sMQzNyRCceum8A9SNCqRMeTLfOJa+fefnRK0lJzyE4oOSRrtLYcTgBl2HgdBss3rqfwe2bnLb92gNHuPv7P0HB81f05dr2LYuc71qvLl+OGE5cZiZXt2x+znFVVol5Wby5ZT4RvsE80LyXFH4QlZokQUIIIcQlxmq18MXvDzFz6hoGXNkWL2+PCo0nISETw9DY7S527TmGt5eNUdd2Om0fpRShQee33ql78wjaR9bmWFoWdwzqeMb2RzOyQIHLbRCbmgHAy7MWMmvHbh7u043ro9rQo36984qpMnt763xmHdmOh9lC+5BwetRoUNEhVSiny43d4cK3gv98iXMjSZAQQghxCQqPCOXecVdUdBgAtGhRm2uGdyBmbwIP3Deg3O7rZbMy4b5rSt3+8lZN2JuYSlZ+Pnf0iCIr386UDVswtOajxSu5PqrNBYz24hfpF4qH2YJGU8O7oJz5F9tX8fG25VxZrzlvdTnx+81puEnNzyXMu+Qpm5VdenYeY56bTEZ2Ps/eNpAre7So6JDEWZIkSAghhBAXlFKKu+7sW9FhnJHVbObxQT0K32utaRdek42xR7mixemn0lUF9zbtQbuQcKp7+tHAPxSACTtWkud28uv+zbzYYSA+VhtOw83g6d9wOCudm5u258VO/c94bbvLRXp+PmG+pR/9c7jdrDsUS5PqoYT6nvu0yf9yutws3rqPDg1qE+xf8nX3HEokJ8+By20wd/UuSYIqIUmChBBCCCFKoJTix1tGkm134OcpU56UUnStXr/IsZEN2vLVrjX0qdUAb0tBkYikvBwOZ6fj0gb/HIk5YxKU43DQbdJEMh12mgaHMmvMzafdADg+IxOlFK/OXcSKA4fwsFhY8uCdeJVRkYphL3/L0dQszCbF0nfvw9vDVqxN28a1adOoFgfiU7lzWJcyua8oX5IECSGEEEKcglLqlAnQqkOHufu3GdTw8+XXm0bj7+lZztFVvGfb9+fJtn2wmk5U8Kvp7cf1jdsy/8heno868wjg4cwMMh0Fe0TtSk0mLT+PYK+SS5qvOHCIu3+dDihCPD3Jc7pwGQbZdkeZJUEJadkAuA1NQlo29WsEF2tjs1r45MkRZXI/UTGkRLYQQgghxDn4bv0mcp1OjmZlseZIXEWHU2FOToCgIHF8pfNAVo64lyH1zjyNsElIKE1DQkFD85BqBHl6nbLt5vhjuNwGWhsMadaY3g0ieGlIP6r5+pCQkU2u3XHez3P3FV2wWcx0aVq3xARIXBqU1vrMrS4yUVFROjo6uqLDEEIIIUQVtvzAIe7+bTphfr78fvP1BHpVvZGgsuRwu7GZT78nVEpuLo9Pn01adi4tqlfnvl5dCA8K4LZvfmX1gSMAPDagG10b1KNleI0yjW/N9kPsPpTI8N6t8PeRX+vKQCm1XmsdVeI5SYKEEEKIqi01KYu922Np27UhNg/Z/PNsaK1Pu35FlL2jGVkMHv8tTpebVrVr8MudY2j50oe4jYLPtCYUNmXm9wdvoH61cxvJycl38Nj46aRk5vLOvVdiNZsZ/fxk3IamW6v6vPfwsLJ8JHGBnC4JkulwQgghRBVmz3dyz+Xv8cq933FNuxf5ecLCig6pUpEEqPx5Wi2YlQkPi4UQn4KpcydvbFuQmEL2eUyNW7p5P9sOHOPA0VR++GdD4XEFHE3JYPyUpWTn2s/5+qLiSWEEIYQQogqz5znIzc7H7TJAKX7+dD5j7u1X0WEJcUpB3l78NvZ6tscn0L9pQwBeHjaAl4cNIDU7ly8Wr6VJjVBanWE6nGEYjPv6bxLTcxj/wDD8vLzQWrNi6wFy8uyYTSasFjM9W9cnvHogHz56Nf+s2c2cpTv4+XAqOXkOHr+5H2aTkmS4EpIkSAghhKjC/IN8eOSN6/jm7Vmkp2TTfXCrig5JiDOKDA0mMrT4VLdgX2+eubJPqa7xxpSFzN+4F4BRr//IrNfuZNGGvbz49WwAHhnZmwFRjQn0LRhtimpWl4TkLP5auA2z2URmdj59b/mI4AAfPnluBPl2F40iqklCVElIEiSEEEJUcQOGd6D/sPbk5tjx8ZUF3+Vt+radvLdkOVc0a8K4fr0qOpwL7uMlK5m3cy9PD+pN98h6FRZHvtNZ+NrldgOQlWdH64IpdXanqzAB+tcH3y/GMDQWM+Qf3yw1IzuPW8d9DwaMurIDY0d3Z8LkJazdeJBHxvanbYs65flYopRkTZAQQgghUEpJAlRB3li4lKNZ2Xy7bgPpefkVHc4FlZCVzcTl69iTlMKLf8+v0Fj+d+MgohqFUz8siO/H3QDAFV2bM/aqLtx+ZWeu69OmWB9fLxseVgsBvl7ceFUn/H08CQvxQ7s1doeLLTvjOBKfxtQZ0ew7lMS7E/4p78cSpSQjQUIIIYQQFahfo0j+2LqDhqHB+J9iY9bKKiEzm3k799KzYQT1QgIJ8vIk1NeH1NxcukRU7AiJ2Wzmy0evK3LMYjZxy+WdTtnny/+NYfWWg3RuVY/qwX7M/ep+tNaM/24J22OO8sjtfdm97xjG8Up1VouJb39awWX9W1IjLOCCPo84O1IiWwghhBCiAmmtScjOIdTHG4vp0pqkM+ijbziWkY2n1cKqcfdgNpnIdTiJS8+gQbUQTJfI+hmtNYtX7iE7146Pt43/+2g2bsPA5TAw6YLkasGfj1d0mFXO6Upky0iQEEIIIcQprNlzmF1HErm6a0v8vS/MdEGlFDX8fM/rGgt37eOpP+bQrEZ1vr7pGmyW0286Wl7ynS6cbjcmk+Lf7929bVYaVQ+t2MDK2JLVMbz+8WzsDhcmYPTwjsxduI3U/BwAXG5D9pS6yJTJ1w1KqSFKqd1Kqb1KqadLOP+YUmqHUmqLUmqBUqreSefcSqlNx/+bURbxCCGEEEKcr9jkdB784k8++WsFz38/lyNJ6VT0DJq1+4/w/G//sC32WJHj7y9YQbbdwfrDcWw8El9B0RX3zc3XcmePjnx363VYzJfWKNfJXC534RQ4w9Bs3xmPFRNKAxquG9pBEqCLzHmPBCmlzMCnwEAgFlinlJqhtd5xUrONQJTWOlcpdS/wNjDq+Lk8rXXb841DCCGEEKIsZObkc/t7UzmaloWBRgNrdh/mmte/4+quLXl2VMXso+RyG4yd9AcOl5vFu/az/Ll7Cs/ZlAk0aDTpOXlF+k1ZvZmVew7x4KBuNKpRNiMwdqeLP9Zu53ByGvsSUhk7oBMdIsOLtWtYPYTHB/Yok3tezPp1b0pGZh6//72BnKx8du2Kx+l0F56vX/fSGvm6FJRFSt4J2Ku13q+1dgBTgGEnN9BaL9Ja5x5/uxoo/qdECCGEEKKc5eQ5yM61Fzm2bs8R4lMyyct30qZuTW7tF4Xb5cbpcrNy58GKCRQwKYWfhweeVgtBPkVLN9/ZoyM2FEFWT9rXq114PC41g7dmLmHB9n08PXVOmcUyfs5K3pm5hO+XbWTlnkM8+cOsMrv2xSrf7sTlcpd4zmRSXHtFe3787E5uG9MdpRT/jvtYLCYsF8n0RHFCWawJqg0cOel9LND5NO3vAGaf9N5TKRUNuIA3tdZ/lkFMQgghhBAlOhCfwmMf/IkCEtKzUEox/okRtG1ckDy0bxROkK8XKZm53DWkM52b1sXlcrN4636eGtEHgLTsPN76eSHBfl48el1vrOYL/yHXZFL8+sANrNl/hJ6NI4qcu7x1E3o2jsDDYimyHsjPywObxYxZKSKrFd9ctDScLjfZ+Q42H4jjyUmz8Pf2oE+bBnB8ZqDNbKZ+9XO7dmWxasN+nn1zOl6eVr59/2bCQv1P2fayga2IP5aB3e7Ew2bFz9eDAX2alWO0ojTKtTCCUupGIArofdLhelrrOKVUJLBQKbVVa72vhL5jgbEAdevWLZd4hRBCCHHp+XX+JuISMwreaFBmWLvjUGESFOTrxV+v3YHWBYkHwKNX9+LRq3vhcLpYtCGGJVv2s2BjDFaLmeYRYVzWqRnmcqjsFhbgy9B2JX+g9iuhvLa/lyfTH72ZvQkpdG549iWps/PsXPP6d6Rm5eLpacXhcpOcmYu3xcbDV/TAz9NGjUA/2tevfeaLVWILlu/C6XJjdiq27IxjYM9TJ0E2q4V7b+9TfsGJc1IWSVAccPKfqvDjx4pQSg0AngN6a60Lx5211nHH/79fKbUYaAcUS4K01hOBiVBQIrsM4hZCCCFEFeJyu1m8OoYQXy8KSpUVJDj1a4cwtGfLIm2VUihVsOD9/ybNIzYxgxfvHMznf65k8ca9uA2NxWrC7TJ47dt5fDx1GT+9dCOhgedX5e1CqBHoR41Av3PqezAxjczcfFyGgcV0YmF/n1YN6NDg1InPkk37mL9+DzcO7ECTutXP6d4Xk1FXRbFh2xFCAn3o0r5+RYcjykBZJEHrgEZKqfoUJD+jgetPbqCUagd8AQzRWieedDwIyNVa25VSoUB3CoomCCGEEEKUmZS0HIbe83lhmWazglp1/BnauxW3XHXqWfyrth5k/ro92O0uPv99JcfSs7A7XVgtZl6+dTB/rdjBiq0HyLU72Lwvnv4dGpfTE5WPpuHV6dmiPtsOHeOVGwfj5WEl2M+bWsGnHgn5Z+0unvtiFoaCTTHxTHnpJrw9rZW6Olqj+tX5feLdFR2GKEPnnQRprV1KqQeAuYAZ+EZrvV0p9QoQrbWeAbwD+ALTjv8BOKy1Hgo0A75QShkUFGl48z9V5YQQQghRTpb/s420pCwO70tk05p9PPDScNp0iizXGLTWrFwVg5eXjfbtIsrkmh9+vYBpszaiTcDxD+IKGBTV9LQJEBSMEikUNquZNg1rEhjvQXpGLqMGtmVgVBNqBvuz61AC1YP86Nys3mmvVRlZzCbeuePKUrfXWvPSl3NAg0mD0+mi373jadOoNl88O7JSJ0Li0lIma4K01rOAWf859uJJrwecot9KoFVZxCCEEEKIc7dp9T7eHfcLLrcbt6tguOR/933HH9H/O2PfbZsOsXHtfgYPbU/1GgHnFceMmRv5fOJCAF556Ro6djz/JOz3OZtOvNEajk91u2F4iRvJFxFePZDf376drBw7ew4m8NeibbjcBinJ2QC0jKzJ3PdPlKrOyMrDz8ezcC1RVaOUok71QOKTMwny9yY/x4HWsCUmnuxcO34+F2bDWSHOVrkWRhBCCCHExWfiW3+z6K/NuN1GYcUvAC+f4gvt/ys7K49n7vsel8vNqiW7+ezHe87Y53QyMnIxDI3JpMjMyjtzhxL8/PsaJkxailJQr04IDetVY8+BRDzMZr5480YaRVQ7q+uFBPgQEuBDakYOmoLRkeonTQebv2IXh+NSiU3M4J8VO2nZuBYT/jfqvEc9vv51JUvX7+X+Mb2YMGU5+44kcdd13blpaKfzuu6F9u3z17Nt/1FaNajJrBU7mPDbCgZ0aiIJkLioSBIkhBBCVGGpSVnM+HEVbpeBX4AXN9zXj2q1Atm0ej833Nv3jP2VUiiTwmRSZKTnkngs47xGg0Ze1xmny423l40+vc++rHBKajYTvl0CgEZx8HAKt1/fjdeeHEpYqD9m87lXcGvRoCat6oSRmJJFuyYFRQF27j3G/302F5fbABMYhmbr7jjy7S68PK3nfK/4xHQmT1+D02Xw6udzSE7LAWDiLysu+iTIx8tG5xYFUwNH9G/LiP5tKzYgIUpw4Ws5CiGEEAKAvFw7S+dtJyE+Ha01W9cfJP5IaoXGFBDkTa26IVisZnpd1pphN3WnW/8W3PfcVQQEn7nSmY+vJ29/fguYTKSk5DDu/u/PKx5PTyt33NabMaO7ljphcblc3HH/t9z5wCTuemjyidGs41UQOrarT62wwLNOgH76bQ2PvzSNvQcKajqt3XSQXXuPEX8sg8m/rgbAai3Yk8dsMtGyYU0C/b0YfUUHfvxtDbc9OpkNWw+f1T137TvG4DEfMXLslygUHlYL7ZvWKZxeV6/Wpb0fjxDlRUaChBBCiHLy0iM/s2trLBaLiaGjOvHH9ysBmDDtfmrVDamQmMwWM5/98RBpyVmEnuMIToMmNTFbzLgdLgyj/HexuO2ebzkSl1aQ+/w7A00V1ECY8tVd1AwLPOtrHolL5ZufV+Bwusn8JI8v37+ZRhHVMJlMWK1mOreNAKBhvWq8++w1xB5NY3Cv5njYLBxLzOD6+77G6XLz7oR/+OmzO0t932de/4PcPAdKg5HlZNyDg/l04kLqBvpx9+296dWx4Vk/ixCiOEmChBBCiHKSnJiJPd+JYTVzMCYBh92FzcNC4tGMCkuCACxWM9VqBp5zf6vVzPtf3sryRbuI2ZvAc4//zBPPDSUo2Oe8Y9NaM3v2FuLj0xg9ugu+vsXXldgdLqAg/wkK9CYz247JBC2b1T6nBAggMMAbt9MNTs2hQ8nYHS5qVA/g9y/uJifPTljoiTVB7VvUoX2LE1smBgV4E+DvRWZ2Pm1bnN0GpdplFO5h1Ld7E6KjD5Kb68RwZ6NcGlM5bMgKBT93w9DnNX1QiIuZJEFCCCFEOXnhnVFMm7ycbn2b0aRFbcxmE3XrV6NNp8q/+WLDJjXZs+so06asweV288e0tdx+95nXFP1r1854EhIy6NGzSZEP3osX7+ST8fNwuw3S0/N44onLivQ7eCiZejUDSU7IxNvXg+8n3kluvpNde47SsX1EYTu32+DxcVPYsSueRx8axGWDWp82Hl8fDwynRgH2PBcx+xJo2aw2vj4e+J6hYISHh5UfP72DY4kZRNQJLfXPYN6C7eSm5GE1YOiwtjxyz0CiNx1kxZq9BAR406bl2SVU5yonx87d931LQkImzz87lN69mpbLfYUoT5IECSGEEOWkfqMwnnrt2sL3L7w/pgKjKXv1G4ahFFjMZpo0rXXG9n/8Hs3CBdtp3aYuU6esRilFly4NeeW1a1FK8fvv0Xz++QJcbo3NZsHPv/go0Asv/UZcXBoAuZn5mM2K6qF+VA/1IyMjl9den4Gnp5XrRnRk5654nE43U6etpX+f5mzceIgGDaoTGupX7LpKKZo2rsGuPcfw9fGgYf3qQEEyNWfOFjw8LPTv3+KUFeC8vWxE1ju7KnR7Yo7hdrkxo2hQpxq5uXYmfbEYf8PEi49eTmCA91ld71zt3n2U1NQc3G6DGX9tlCRIXJIkCRJCCCFEmWjWojZf/XQPLqeb8FNM73O53JjNJjIz85jw6XzcboOdO4+idcEUrFWrYpg/bxsDB7Vi7Zp9uF0GNpuFEddGceutPYmLTeXtd2Zx4GAy997TjwB/r8IkCAqSlH/9/kc0a9buw2Ix0apVOI0ahrFz91FGXB3FK6/+yYYNh7BYzEydch9eXrZisX7+wU3k5jnw8T4x8jNjxgYmfrEIpcBqMdO7z9lVsDMMjcvpxuZR/CPYFUNa88fPa9DA5C8XExLozYEDSeTnO5k2dQ0ty2kkqHnz2kTUC+XwkRRGX3f6zWSFqKwkCRJCCCFEmalxmrVFM2Zs4OMP/yGifigffXwTQUE+ZGXl4ePrSXp6buEalPz8gjU+d97Vh5TUbOrXr8Ztt/XC4XAx9p5vyMsrOP/tpKV88/WdPPP8NHbsiKNjx0h8fb0K79e4cQ0sloLqbQ0bhDFkUGti9hylSZNa/DptLfn5TqxWg7w8R4lJkFKqSAIEoE8q/GDosysCkZ2Vzz23fklyUhZPPT+UfoNaFjm/b09C4euszHyaNa+Nt7cNl8vNwEHlt7e8p6eVz8bfUm73E6IiSBIkhBBCiHIxc/oGtNbExaZx7Gg6X0+6i8OHUmjQoDo7d8WzbWssnp5WLr+iDQANG4bx5Zd3FPZ3udy4HO6CwgFKMWhgS3x9Pfnkw5tKvF/3bo2ZOOE2LFYztWoGcsdtX3I0Po36kdV5/rlhTJq8nB7dGxFcilLg/xo2vANWqxmbh4U+ZzkKtHfPMTLSc3G7DWb/talYEjRl0nJwG2AycefYPgQF+TBl2oMFo2EljBxVZjG74pnywypuuq0nEQ2qFx6f8cd6Jn+1hJ59mvLIk5dXYITiUndp/YkSQgghxEXrhhu78967s2jWrBYR9athNpto3qJg09G2bevRtm290/b38/Pi5VeuZcXyPVx5VTuaNKlZrE1aWg5PPvYTOTl23nh7FBERBetyDENz+FAyhqE5cCCJhg3DeO3Va4v1d7sNvv1yMYvmbWPAoFbc9p/iDmaziauGtj+n52/WsjYNm9Tg8MFkxtzcvdj5yEZhHDuajtVqolY1fw7EHKN+oxqXXIU2t9vgvtu/AWDpwp3MW/l84bnx789Fa83f0zdy/c3dqR527hvvCnE6kgQJIYQQolz06duMPn3PbvTkv7p0aUiXLqfeK2flij3ExaXhcLiY9dcm7ntgIAAmk+KZ54byx+/RjBrd5ZT9f/lpFVOP79/08/cr8PSwMvqW7qcsgHA2PDysfPBZ0WlmhmEUlr1+6oVhbNtymOilu3n72V8B+PCHsdRvVAOA7RsP8cK9kwkM8eX97+8msAxKkFeEk9dtQcFasH9/vj6+NrKz7CgFfv5eJXUXokxIEiSEEEKIS8JLz//K8mV7UCaw2Sz06NWkyPl+/VvQr3+L014jJzsfpRRaa7SGH79dSs3agZiVoknL2lSvEVjqeLTWLPxrE14+HnTt26xIIqW15rVHf2LFgh2MuK0ndz42BLPFRJv2Ecz/cwNOpxur1UxKYlZhEjRr2lpyc+y43Qab1uyjz2WnL/N9sbLZLAwY0orFC3Yw5Io2RX4uk6fez9/TN9CjV5MS12kJUVaUPstFfReDqKgoHR0dXdFhCCGEEOIiobVmYJ83Cl4Db707mqiOkWd9ja0bD7FqeQz7Yo6xffMhTCYzdcKDiD2YgsVi4qc5j+PpWboP5w9fP4HdW2MxmRVPvz2aXietAcrPc3B155fRGrx9PPh99YuF59JTsvn6o3+oFR7M6Lt6FyYJW9Yd4IX7JuMf5M0nP99HYEjp1zIJURUppdZrraNKOicjQUIIIcR/uA2DaSu3YjYpru3SCpPp/KdCiQtLKYWHhwW73YUCmpZin6L/+vqT+cyYtg6zxcRXU+9j88ZD+Pl78fk7s7HnO3FbzTjyXezffYzxr86gWdu6PPDcVaecKrdnWyxojeGGvFw7AInxafz61VJadapP/6vasWTOVkbc2qNIv8AQXx5/5Zpi12vdsT5/rn2pTKbmCVHVSRIkhBBC/Mdvq7by3oylKMBqNjO88+mnUImLw+8zH2Xhgh107doQX7/iG6ueye7tcdjznXh4WEhJzqbf4IKy1KFvj+SXScvp1rcZ/oHevH/L78QeSGb/nmPUa1CNoWO6Fr/WliOYDXC7NXUaVWPAVe0AePuJKexYf4g509YycdbjPPH6iLOKURIgIcqGJEFCCCHEf1jMZlTh60urMtelzMPDymWXtznn/vc/dTmfvTubZi3DadTsROW5+g3DGPfaiUpy1WsEEnsgGYADMQnFrgMQdygZi7Vgj6Ko7o0LK7wFBPkUlLtW4OFlPedYhRDnR9YECSGEEP9hGJpZG3ahlOLy9k3k23dRRE52Pi898D12u4vn3h2NM9/Jjg0H6TaoJX4B3gA4HS4+/7+/yEzP4f4XhxF4fC+i/DwHy+dspUHzWtQvocS3EKLsnG5NkCRBQgghhBDnKC/HzvXdX8NwGzRqGc67P99b0SEJIY6TwghCCCGEEBeAy+nG7TJwOV3kZOVVdDhCiFKSJEgIIYQQ4hz5BXrz0oSbWbdkN0Nv6lbR4QghSkmSICGEEEKI89ChZxM69Gxy5oZCiIuGlLwRQgghhBBCVCmSBJWj3//awG0PT2Lpqj0VHYoQQgghhBBVliRBF1h6Zi7JqdnYHS4++moh+w4m8db4uRUdlhBCCCGEEFWWrAm6gJ57ezpLV8VgNineeu4aAvy9yMjKo3GD6hUdmhBCCCGEEFWWjARdIB98tYAlq2PQgNvQ/Dl3E2lZeRhAYmoOAPEJ6YwcO5FRd08kPiG9IsMVQgghhBCiypAk6AJZujam8LW/nyftW9YtfO9yuQFYsGwXCcmZJCRl8vusjbzz2VyWrTnRL9/u5P5nf2borZ+yafuR8gteCCGEEEKIS5gkQRfI/Tf3oVqIL8Mva8Pf3z3AdVd1YMzwjkS1qcvHr44CoGtUJB42CzabhRXr9jHzny289O5M0tILRoq27Ihlz74E0tJz+eHXNRX5OEIIIYQQQlwyZE3QBTKgR1MG9Gha5Nh9t/QufJ2alkNWtp0fxt9BcJAPT77yK0kpWZiUwmazoLXGy9OKt5cNp8vNkH4tyvsRhBBCCCGEuCRJElQBvvhhKT/8uRY0eHla+WXCXbz+9HCWrYmheeNa+Hh78OX3y/hlRjQeNgvTJo6lWohfRYcthBBCCCHEJUGmw1WABSt3ozVoDS6XQWpaDt5eNgb3aUGdWkEAbNx2GLvDhd3hIjU9t4IjFkIIIYQQ4tIhSdB5+GftLp76bAb745LPqt99N/Um0N+L0GAfOrSswwvvzeSfpTuKtHnozv40aViDqwa3pnGklNQWQgghhBCirCitdUXHcNaioqJ0dHR0hcaQlJ7FZY9/CYCnzcLyCQ+d9TVcLjd9R32A1uDtZeOfH0t3jfSMXCZ8vRitNWNv7U1oiO9Z31sIIYQQQohLmVJqvdY6qqRzMhJ0jgz3iddu49wSSbPZRMOI6tisZlo2qVXqfhMnLWHO/G3Mnb+NG++YSGJy5jndXwghhBBCiKpIkqBzFBbix1M39KVVg5p8+tg153SNhSt306FNXT546Treea7oNewOF2vXHyA1LadYv5phgSgADfn5Tm4b+zXpsm5ICCGEEEKIUpHqcOdhZL92jOzX7pz67j+cxP+Nn4PL5SY2Pp1AX08WLt/F7aO7M3p4R154/U82bz2Ch4eFaZPvxcN24pfqxlFd8Pay8c13y8jJseNyGxxLyCAw0LusHk0IIYQQQohLlowEVRAPmxUAi8WMl4eZWQu2kZfv5LtfVwNwODaFfLuTnFw7+fnOIn2VUlw7rAMfv3M9LZvXZtgV7WjSuEa5P4MQQgghhBCVkYwEVZDaNQL5+OVRHIxNpn+3JmRk5LNu00Eu79cSgJfGDWXyTyvo3aMJAf5eJV6jQWR1xr9/Y6nu53K5eeKRH9m/P5EHHhrEoCGty+xZhBBCCCGEqEykOtxFxOF0YbOWnJe63QbfTlpKVlY+d93VB18fz1Jdc/bMTXzywRxCQnw5mpABSmEyKf5Z9ExZhi6EEEIIIcRF5XTV4WQk6CJis1qIjUtl8Yo99OjSiIi6IYXnFi/ZyW9/RON2G/j6eXLXHX1wuw0++WAOBw8kk3gsg6SETJq3DGfUDV3Jyszh0/fn4XS5cbncJCWeqCBn8zjxy661Zubv64k9nMKNt/fEP0DWFQkhhBBCiEtbmSRBSqkhwEeAGfhKa/3mf857AN8BHYAUYJTW+uDxc88AdwBu4CGt9dyyiKmyenDcz6Rn5DLlt7XMnPIgSikAqlXzBwrKaodV92fzpkMcOZzC/H+2kZ/rLKgWB+zYcoTXdsbjcrkpHOQzKZo0q01Ul0j270vkkSeGFN5v2+YjjH93FhialUt28cOfD5fj0wohhBBCCFH+zjsJUkqZgU+BgUAssE4pNUNrveOkZncAaVrrhkqp0cBbwCilVHNgNNACqAXMV0o11lq7qapOMT2xdas6fPjeDeTk2Ik7ksqzT05Fa41SYLKAdp7o53Se9OMzNB3a1mH0bT1p2zGy2HWzMvPg+D5HiUfTj19TFWsnhBBCCCHEpaIsqsN1AvZqrfdrrR3AFGDYf9oMAyYff/0r0F8VfNIeBkzRWtu11geAvcevV2V9/Pb13HFTT8a/c32xZKRJk5q0bx/B0fg0XC43SsG9Dwxg4rdjadmyVkEyow0UYDErRt7QBW+riY1rD/DCwz+htcYwjCLX1IYBGnAZKJfBd58vLL+HFUIIIYQQogKUxXS42sCRk97HAp1P1UZr7VJKZQAhx4+v/k/f2iXdRCk1FhgLULdu3TII++JUp3YwN47scto2Y27sRmZmHgH+3gy5oi0Wixkfb0+UobHZLHTp2ZgmLWrRpm1dVszbTmpyNgGB3rz22M+sWLCD627ryaBh7Uk6lkG7TpE0aVqTPdvjANgcfbAcnlIIIYQQQoiKU2kKI2itJwIToaA6XAWHU2601kwYP5+NGw7y0CODadWmLn5+Xjwx7soi7e59dDCGW9OgcRi339+f7z9dwBO3fIVScM8zV9GhSyS3XvYeADOnrGbGD6tAwbW39ODjyXcx4d3Z7Noay71PXHbaeBKPpTP7t/V07t2Epi3DL9hzCyGEEEIIcaGURRIUB9Q56X348WMltYlVSlmAAAoKJJSmb5V2+FAyf83YiMPhYvxH//DFN3eW2K523RD+7+MbCt+vW7YHR17BJqvZaTmE1Qqi35VtWTp3K70GtmTJnK047S7iDiWjlOK+Jy8/Yywup5s7rx6PPd/Jz98s4/Nf7iOiQfWyeVAhhBBCCCHKSVkkQeuARkqp+hQkMKOB6//TZgZwC7AKGAEs1FprpdQM4Cel1PsUFEZoBKwtg5guGdWq++Pr60F2tqZ9x/ql7tepV2P2bo8HNPY8BwBPvj6CJ18fgdaaGuHBHNmfxJ0nVYo7E5fLjcPuAgpGqJISMiQJEkIIIYQQlc55J0HH1/g8AMyloET2N1rr7UqpV4BorfUM4Gvge6XUXiCVgkSJ4+1+AXYALuD+Kl0ZrgTe3h5M/vFekpOzCK8TXOp+193Wi/jDqTjynQy7sVuRc0oprr+nb4n9tNYkxqYSHBaA1Vb0t4enl40nX72ayZ8tpH2XSDp0aXD2DySEEEIIIUQFU/oUJZkvZlFRUTo6Orqiw7ikfPvmTH4ZPw9lUiizidr1qzPhn6cwW8wltk86mk7cwWRadYrEbC6LIoNCCCGEEEKUHaXUeq11VEnnKk1hBHFme7YcYfu6A/Qd3p7AEN8i5/JzHRyJOUZQdX8CQ/2wWIsmN79OmA+Adhtoh5MjO2O5u+/rfDJnHF4+HgDE7k/kiZHjMQwDh1ODUvQf1o4HX7228DoOh5P7Rn1O3JEUHn1xGIOGtrvATy2EEEIIIcTZkSToEpGVkctToz/D7TZYNnsz7//6YOE5rTV3dv8fKUfTAQitGcjXq17G5mktbFM7ohpH9iXCv/sIaU38/iR2bzxI2x5N+GTcFGb9sKLgnMWE2cMDt4aDMQlF4vjzx9UcOZgMwHefLZQkSAghhBBCXHRkHtMlQhu6cDNUt6vohqhOh6swAQJIOZZOUnxakTYTFj7Laz/cyxW39iw85u3nSZN2EfzxxQJmfb8ctAatMZtNDL+9J537NuPh164tcp21S3YVtmvWKpyVi3fyyK1fMv/vzWX/0EIIIYQQQpwDGQm6RPgH+fD65LFsXr2XwSOL7lVr87BSq3414g8kgdY0jYqkVv1qRdqYzSY69GlG+95NqREejD3PyehHL8NsNjF/6uoibR/8v5EMHt21xDjyMvJQDifKpBh5a3eeGDuJ/FwHu7bF0ndIK1k/JIQQQghxkTMMzfhP/iFm9zEefeIyIiMvvWrAkgRdQlp2iqRlp8gSz32x9EWW/BlNnUY1aNy23imvoZRixP2Dihy7adxVvPfQJDCZGXH/wFMmQACNW9TmwPZYTGYTMdvicObYUW4DX19vTCZ1Ts8lhBBCCCHKz84dccyZtQW73cmET+fzznv/3f2m8pOv5asIi9VM/+s6nzYBOpUWnRrQqWdj+l/Zlmvv7nfatg2a1cTmacVsMaO1xmIp+C2WnZHLXUM/JCc7/5ziF0IIIYQQ5aNmzUAsFhM2DwutWtet6HAuCEmCxBn98t5MFk1dzayvF/L7x3MYHjaWYdXuYs+G/cXaXnF9VyIbVceRmcOOVTFcc3N3fPw8QUPSsQx2bTlSpP2WLYe5+YYJvPH6DNxuo9j1hBBCCCFE+QoO8eX7n+7l0wm3ctPN3Ss6nAtCpsOJMwpvVBOLzYzWsGb2JvKOj+Z8+dxU3pn9TLH2u9btB0Oz8Pdogmr4E9m4Fnv2JFCzThD7dh5l+o+rSEjIYvj1Xfh7/lbi4tJITs7i6mujaNq0Vnk/nhBCCCGE+I+AAG8CArwrOowLRpIgcUaDb+lNeOOaePt5sW/LQbat2gPAjhU7uL7+ffx04LPCtkopRtzTn2mfzQfDIC0+nbTELHyDvLn9kSG8/sTP2POcaKX46PWZ3PzYIGL2JODj40F4eHBFPaIQQgghhKhCJAkSpdKia2MA6resQ4uuTbil8UM4geTYVIZ4Xs+c/J8K297+7FBmfL0Ye76z4IDW5GTk4RfghdagTAqT2UREozCuv6EbAwe1wt/fEw8Pawl3FkIIIYQQomxJEiTOWs36RcskGsfX8rjdBp8+9j2HdsZy72sjWDpzI5tW78MwNLc/M5RmberyxsTbSE7IoGbdUCIaFlynWjW/cn8GIYQQQghRdUkSJM5Jm77N2bxoBwDXP38NAFuX7WL+z8ux5zrwCfDm9WmPFuvXot2J6nRut8H8mRvZvOEQvQe2JKpbw/IJXgghhBBCVGmSBIlz8s4/LxY7VqthGCaTCZuXlZbdGhc7n3Isg7++X86caWvx8PakVc/GzJ+5Ca1h4azN/Dz3SfwDL90FeEIIIYQQ4uIgSZAoM9XDQ5i05R3SEjOo37JOsfNPjfiY+ENJoMHs68WOjYfRuuCcyaQwW6RiuxBCCCGEuPAkCRJlKrC6P4HV/Ysc27f1CC/f9BlJiVmgFCiFO99Buw51qV0/lOxsO1eMiMLH17OCohZCCCGEEFWJfPUuLrg/v1hAUnzaiQPHh3/m/7KWGrUC2bnxEB+++AcbVu2toAiFEEIIIURVIkmQuOB6DY/CbDGDYRQkQKrguKe3jRk/rEK7DZwOF4cPJDFn+gaOxaWd/oJCCCGEEEKcB6X/XZRRiURFReno6OiKDkOchfwcO/t3xGHPc/D7N0uI2XKEMY8MYcIbf4OpICsKb16bhKPpeHhYmfrPE5jNJ3L0jKw83pwwFw8PC+PuHoSXp62iHkUIIYQQF7FN++OZND+aoZ2a0a9to4oOR1QgpdR6rXVUSedkTZAoF54+HjTvGAlAu15NAXA53fw+eQWJ8en0HNKKbbuP4bC70IZmUL83QCm8fazM/PtJpv29gRXR+zCbTbRtVofhg9pU5OMIIYQQ4iJiGJq1ew5TM8ifx7+cSUpWLsu3H2D5O/fjaZOPu6I4+V0hKozFambygnGF7w/sTeCX71aycOH2wmO5OU4AGkdWx2IxAxBZN7R8AxVCCCHERe2zv1fy46INaA31woLItTvw8fTAKpVnxSlIEiQuGvUbhtF7cEuWLN2FSxesH/L0Lpj21qtTI755+yYsFjPhNQIrNlAhhBBClJs8h5Pflm2lZrAf/duVPL3tYEIadqcbm9XMg1f1wG24aRVRE7NJkqB/OV1uHn77d3YdTODGy6O4fXiXig6pQkkSJC4qHTs34Iph7YmPTeP+RwdSKzyk8FzESa+FEEIIUTV88sdyflu+FbNShPr70KZBrWJtnry2NxazIrJGKN2b10MpVeZxHElJ58O/l9O6Xk1u6d0BgOx8O7eM/4XYlAxeHjWQIW2blPl9/+uv1Tv4+I/lDGjfiKdG9S11v10HE9gaE4fDZfDFbyvZfSiRtx4eegEjvbhJeiwuKmaLifsfHczr740ukgAJIYQQ4uKzMHoP4z6dyfb9R8/rOqmZubjcRonnlFIUpjSnyG3Cgvx487YrGHtZ53NOgFxuA8M4dcGwV6bNZ97mGD78eznvzVyK3eliw/44DiamketwMu6H2eyKSyzWb03MYcZ+/huzN+wuVRyp2bk43e5Tnv/oj2UkZ+Ywbelm0rLzSnVNgAbhoUUKSy1Zv5fv/lpb6v6XGkmChBBCCCHEWcvNd/DcF7NYuD6Gpz6decp2RxLS2HUogc1743l3ymJiYpOLnP/g1yUMHjeR0a9+X+KH/weH9+CRa3ryxp2X0yay+ChQaeyJT2bp9v2nTHLW7Y2l8zPj6fPSFxxLyyqxTb1qwVgtJlyGwY/LNzLhn9W0iaiF1VqwZlkB781cyqaDcRxLzyIrz87Ww0d58OvprNpzmGd+mo3D5TptnBPnrmHAi18y7P8mk+dwlthmQLtGmE2KRrWr4e/tUeqfgbenjd/evZ1a1Qo2tdcaPv91Zan7X2pkOpwQQgghhDhrNosZXy8P8h1OaoUGlNhm1+FE7nhjClpr3BSMtsyL3sPcd8cWtpm/Pga3oTmcmE707iPUCPanfo3gwvOeNguj+7Y75zgPJKRyw4c/43IbuA2D67q14oXrBhRpM2vDLhwuNyblZO3eIwzt2LzI+ZSsXEL8vbmyQzP+3rALAJNJEeDtyfQnb2bcj7NYfyCeVTFHWLX3CGYFNosFu8uFPj7AVc3fF4vJXCw+p8vN8z/P5UBiKnl5TtyGQXJGNnEpGTSsWbwY1LjR/Rh7RRf8fTzPas3ThN9W8M3MNXRsVofI2iGs2nKQbq0jSt3/UiNJkBBCCCGEOGsWi5mfX72Z7fuP0ql5vRLbHDqWilLgcBlYLGZsVjM+/9nr7+Fre/HetMU0qBnCo5/NQCnF+AevpkPj8BKvqbUmJj6ZWsH++HqdeSQkJSsXpcBtFGQj01Zt5fkR/YtMm7uuWysWbdtHgI8nPZpFFLvGUz/OYv3+WCwmE+OG98Ht1lzTuQUAYYF+vHH9ZQx8/WuUAg0YGuxOF5qC9xaT4oeHRmEyFZ+qt3bvERZv30+ew0nrujUIc/kS1SCcyLBTLwsI8vM+43P/16/zNwGwbtcRPn78ap69cxDB/md/nUuFJEFCCCGEEOKchAb40Ltdw1Oe79e+Eet3x5KamcOtl3ViT2wSvdo0KNJmUFRjBkU15ou/VhEdE4tZwU8LN/DYFzO4unsrHrmmZ5H2b/6yiD9Xb8fH08Zf/7sNb4+SN1A3DM3/ps5jw/5YrurQjPX74ziQmMrwzi2KrRtqHh7G4lfuPuVzWEwmTEqBUvRpHkk1f98i52sG+RPo7UF6rh0Aq9mE8981Tgr6tIokLNCvxGs3qBGC2aSwWcxc1ak5o7qVfi/Ew4npRMccoW+bhgT5ejF37S6e+Xo2AA9c3Z3bh3Q68fNQunBN1aLovXRtWb/U97kUKa1PvQDsYhUVFaWjo6MrOgwhhBBCCFFGMnPyeePnBXhYLcxdv4d8Z8H6md6tI3nnriuxHt8v8Mr/fUNscgYWs4nfnruZetWDSrzerrhEbv5oKvlOF83DqzPl8RvQWp9T4YSM3HxmRO+gVd0atI0oeV3Srvgkxv00m4hqgazbF0tmnr3wnI+HlXqhQew5msxd/Tpx/+CuRZ89L5+sPDu1g0ueVlgSh9NF/6e/wOl2Uz8smJ+fuZFej3xKdp6jsM2vL91MZK2CEaURz37LoaNpAHzx9HW0b1Kn1PeqrJRS67XWUSWdk8IIQgghhBCiwvn7ePLGnVfwv1sGM6hD44JRCwVrdh9m80nV55Izc0AVrMmpWy2w8Piy7Qd467dFxCanA1AnJBA/Lw+sZhN9WhaMPp1r5bgAb09u6tW+SALkdLn59J9VfDxnBXani6a1qjH9iZv56JahRIYFF+nfrVEEO+IScRkGXyxYXfzZvTzPKgECOJqWRZbdQb7TXVglrmmd6kXazFy9o/D1+MdHcO813fn2+TGlToCOJWVy3f1fce19XxJ7PIH6dNIieg5/h57D32HfwYSzivliItPhhBBCiLOU7sjD7nYR5lXy9BYhqrrsPDtT5m+kblgQgzo1YW9cMlazmXo1Sh61+a+XbxlMneqBfDpzJXaHi/kbY0jJymFQ+8b4e3uic/MJ9PEsTGpSsnJ57JuZOF1uNuyLY+pTN+LjaePv524nLSeXmkH+Zf6Mf0Rv55vF0Wg0htY0qhFKvxYN8LJZ8bBaUCawmc1MvncknjYL87bFABRMqztPbsPgzV8WFbxREFGzIOk6lJRW2MbDai7cXPbXRZv5e9UO7h7WjZYNapb6PgtX7SYxJQvD0Py1aBsN6oQyZfqJ2VivfDCLb96/BbO58o2rSBIkhBDiknAgIZWnf5hF45rVePX6wRfsPvsyk7l2wVe4tMEHna5hYHjTC3YvISqrD6Yu4e9VOzCbTMQnZzDxrzUAfPrI1bQ7RcGD/6odGoCH1Yzd6eaXpZv4dflmlm3dT6fGdQj28+aGvu0L27rcbswmhbKa8ff2LDzuabNQ01b2CRBAkI8XSgEavlu2AZNSzNm8hzv6RpGQnkW9kEBu6dWBprWqoZSidd0abDl8jPsHdT3lNUd/8BPbjyTQo2k9Joy95pTtPv1rJWv3HC5837BWQRW5Dg3DWbBpL/7eHvz5ym34eNrIyXfwzs8LcRual76ezdz37yn1M3ZpV59vf12N1ppFy3czLW09ymzCcBko4ODhZJ5/80/eeO7UsV6sJAkSQghxSbj78984lp7NztgkOjQIZ/jxyk1lbWtaPAYap+FmeeJ+SYKqmOv//IXYjAwmDb2WyKDgM3eoojxs5sLyzb8v24rd6cJkUuw/mlrqJKhDo3B8PD1wuHLRGtyG5u91u9CAzWrm/iu7ATB9zXb+N2UeCmhVrybv3nblBXqqoga2aoSvp43kzBxe+m0+dqeLlOxc3p65hIPJ6ZhNipd/X8DLvy+gXb1afHffKJTilGWt8x0uth8pmF62fNeh0977WFoWGo1JQY8W9Qt/FvcP786izXvJzrfz1pSFHDqWToCPB6GBvmRk59G0XthZPWNknVBmf3s/AMPvnIDd4cJqNfPo7X15/4sFaA0bthw+w1UuTpIECSGEuCT4eXlwLD0bgOBzKB9bWgNrN+Wvw9tIdeRyR+NTf6MrLj0vL13IqtgjAFz9609svuuBCo7o4vXwdb1pFF6NWqEB3PfB7wUHtaZl/Rp88vtyYmKTCPT1Yv/RFGqFBvD8jQPw9/Esco3qgb6Mv384t73/C47jRRIMwGox4WmzFJab/mX55sJNULcfPsahpDRa+9QkJ9/BpIXR1Ajy45ouLc95PdDpdG1UUBrcajGzZu8R7ujbkRnrd7A9NgH3SRuzbjwUT9eXPmXSPSNpEV5yIuJpsxDk60Vadh51T7Hv0r+euKY3XjYr9aoHcVO/9oXPlpGTh1IKu8tF9O5YEtKysFksPH5dL3Jy7dSpHnTWxSEsx6e6De7dnGl/b6B5o5pEtY3AbFIYhsbbq+TqfBc7SYKEEEJcEr57eBQfzlxO8zph9Gp+4Uq/+lhsfNXz+gt2fXHx8vc48SHdVsKml+IED6uFq3u1BmBM/3b8sWwrNwzswP0f/l64iB8K9tDZcTiR+RtiCPH3ZtK40dQODSA1M5ct++Nxa43L7UYDZpM6nvgo/u+Wy7CazXz29yq2HSoYPVGqIJEIP55AfPT3cn5btRWzyUTtkAC6NK4LQE6+gw0H4mgTURN/r6KJV2ms2nOIbLuDga0aFR4b0qYJEdWCuX3ir1Tz92FMt7b8vHwj7pP65TtcLNy275RJEMDi/40lOSuX6gG+JZ6fFb2TSQuiGdO7HS+MGVDsfLO6Ydx7VVe2H0ogqlE47/6yBKUgO9fOVzMLCjK86B7MoE5NSv28R46m8czb0zkcm4JhaLbtisNmtRBRJ4SDh1O4+opz38i2IkkSJIQQ4pLg4+HBcyP6V3QYVYKhDZyGEw/zmTeqPJV8tx2ryYJZVZ5k4tHO3UjIzmJvWipfXjG88LjWGrfWWE4xzelsaa05nJxOWKAfntbK81HN7nQxa+UO6oQFEdX0RPWxJ0b34YnRfQD4Y9nWU/ZPycxl3MS/+eyRaxj09EQMrake6MO/27kUjKxorGYzR1MzAZg490SltVrB/iRmZPPhjOW8cv0gfD09CqeeeXtYC9vdPH4qR5LTCfXz4e9nbzurUZFfVm/hld8XAHBLr/Y8eWXvwnPv/L2UuLRM4tMyubZjS54c2pt8p4usPDuzN+/GbWiubH/66bMmk4msPDu3fTqNIB8vPhs7vEii9r8pBdPuXpkyv8T9jpRS3DTwREXoHq0i8bBZmLd2N4bWKAqKVpyNNybM5UBsChgF/ds2r0O1ED+++fBW8u1OGQkSQgghxKXPaTj53/b/cTT/KG0C2rE5fQcRPvV4vtlTmEqZBCxPWs/7eybjZ/Hho3bPEmirPFX23ux/ouhGrtPJuLlzWbz/AHkuJ+8OGcLw5s0BSM3NA60J9jn7qZmv/r6QP6O3E+rnw19P3YLNUjk+rr0/ZTF/rdgOKCY9N4ZGdaoVa/PVkyP5ZvYa5qzdjcttYDObcBhG4XkfTxuHE9Mxjic+iek56II9SrmyczNijqbg5WFlUPuCkQyTUriPtz2aloWhNdPXbOeFkf25b0hX6oYGsPVwAjFHk2lVtwZKKeJSMslzuDianoXWBdcurY0H4wtfbz50tMi59JyCES5NQVW4a3qcKNzw6OVFN3w9nR+WbeRwcjqJGdks2b6fq6KaF55rUSeM7UeO0aBGSKmStxrBBX+2runVipx8ByalGNqjZaljAWgUUZ3NO+PApOjavj7vPHOiCEJlTYBAkiAhhBBCnIVEeyJJ9iQ0mo3pG3BrMzHZe9mdFUOzgNJNsVmStA63Nshz29mbfZio4AtTxOJCm75zJ/P27cPpdoOGHzZtZnjz5iyK2c+9v07H0OBv8+DTEVfROaL0G1Ou2nMIh8tNUmY2O+OSiEvJoGez+vh5nfvIW3nIt7twGxqzWeFwuUtsU69GEC/fNoTebRqQnpPPVV2bM2nOWibMKBjRSUrPpGVEDdo1rMX2gwk0Dq/GnvhkfDxtPDOqP14njegAfHbv1Tw0cTqBPl4MaNuQn5ZuYnD7xoUbqyZm5vDnmm3MjDYR4O3JgNaN+OC2K/l+yQZGdWtTuK6otMZd1ZuNB+OxO128OnJQkXP3DujMYz/8Tc1AP3o3izyr656sf8uGzFi3A7NJMXnRej6bs4rPx15NverBTLz/WvYeS6FBjdIV5YhLzuCRT/7EMDRv3n0FjcILEtNbXv6RnQcTGNi5Ca/fc8Vpr/HwrX3p0LIODoebPl0anbZtZSJJkBBCCCFKraZnTVoFtGJ31m7MeJDqzEChqO1Vq0g7rTXv75nMmuTNtAtuRYR3bUbVHYhJmbg2fBB7s49QwzOUVgGV90NV09BQTEqhAJvFwj2dOgLw+cq1/LsmPjPfzqfLV59VEvT8Nf14a8YSejWN4L6Jf+BwuWlcK5QfHx5zAZ6i7Dx5fV9qVw+gfs1gWtSvcdq2/dqf+HVfveNEdbGDxzIA+PrxUQAYhiYmPplaIf7FEiCALk3rsfb9h07EcE2fIiMkczbuxuk2MAyNzVyQGHVtXI+ujeudwxNCoI8Xc56+vcRzA1o2YuP/PVTwe+I8ijB0a1KP2/p04J/NMew5mgzAiHd/YO1bD2K1mGkWXv0MVzhh+vJt7I9PBeCW//uZv9+6E7fLzY7jm5z+s2b3GZMggOgth9h9IJHIuiFE1q3G4bhUfvhtDe1a1qFv9yZ4lvBrc7GTJEgIIYSoohyGk4/2fE+qI4NHGt9EuiMbqzIT6XfqD+wmZeLBRg8CYBgG69M30tC3Af7/mdKW6cpmedIGXNpgedJGlrOJ/TlxPNf8dpr6R/Jtp9cL26bas7hr7SfkuR283+5OmgaUroRyRWtXqxZzb7mFPKeT6dt2smDPfjqH1+Gypo3YFH+0YKqVCYa3an7mi52ke5MIZjwZQa7dwU9LN+F0GyRn5l6gpyg7vt4ejB1atGKi1pqXv5nLkk37ePi6XnRvXZ8XvpqNxWzi9bsuJ8DXi7SsvFNcEUwmRZPw4tPqTrZxXxyTF6znyo7NGNDuRHLldLnZezQFALPZRM8LWDDlX6cqf302lu86wHdLN5DvcBXMrQPsTjdZ+fazLuTQtUU9vpm1Fq1Ba0hKz6FejcDC86XJ1bbtiefvRdvIt7v4eNJiPnzxOl5+7y9i9iUwZ8E23pswj49fH03zxqXfhPViIEmQEEIIUUUsSdxMqiOTK2p1xWaysC51K+tSt+EwHLy981v2ZBd8I9+3Whc2pO+mmX8EzzUv+VtvKFjE3TG4Q4nn/C2+tAhoyOb0PYBCA8fykkts+8HuP0mwpwPw3q4/+LLzg+fzmOWqTkAA7yxexsTV0QDsT0ll6k2j6RRRB2+rlWq+PvjYiq6b0Fozf/teHG43l7VqcsopWd4eNj68bSj/bN7DTb3al9jmYpeSmcvs1TtxG5o3vp9fWDbaYlb8vWon1w9sz+t3DOaWN6biNjRv3n35Wd/j0S9nkJ6Tz+Kt+xg3og9jehdUK7NazIzo2orfVm1FKfhhyQZu6lPy79eLSYifD1oXrHf6d20UFLw/mWHoM07na9conG+fHs2nv6+gfZNwGoWHopRi4jMj+XPJVm66LOq0/QFqhwViNpvwsFlo27zgC4rQEF/2H0rC7TJwOd2s3XAAD6uZeYt30q9XUxo3OLv9iCrCeSVBSqlgYCoQARwERmqt0/7Tpi0wAfAH3MDrWuupx89NAnoDGceb36q13nQ+MQkhhBCiuI1pMby18ye01iTbM7irwZXU866NAqwmK05dsIZDa1iUuAYXiuXJm1mbso1OIWe3kBoKqlS91uoh8lx2/rftC1KdmTzd7LYS2zb1r8OixIKqYVEhDU95zXRHLrE5aTQPrIlJlU0ltn+l5OXy0IK/MCsTH/e/gkBPr1L125GQyJ7kFLQBCth1NIlpG7fSr3EDgr29cBoG36/eyM5jiTzcrzvV/Xx46MeZLNy5D6vZTI7dwchOrU95/V7N61/Qku8nc7lcfD1jDd6eNq7u0xpf79KvQcrNd3AkIZ2GdUILR0N++mc9U+dvJCzIl6OpWUX2zVEmU+GUuac+n4WhNZ42C33anvrX/1RC/X1Iz8kH4NflWwuTIICxAzvz66qt2J1u3pm+tFIkQS3qhDHpgZGs2HmAT2evQlPw+8DXs+DXw+50cfP7U4iJS+bZkf1QQL3qQUQ1LnkEt1VkTT5/YkSRY+0ah5d609qQIB9+GX8nKWk5RNYNBeCmazvTonEN5izcQUpqNpN+WsFPU1djd7iYPmsjs355+ILsy1SWznck6Glggdb6TaXU08ffj/tPm1zgZq11jFKqFrBeKTVXa51+/PyTWutfzzMOIYQQQpylcO8wvoj6H3luOwrFY5vew+F24GH2JtVZUII4zDP0vO7hZfHgrbYPnbbNNeHdWHw0hu2Z8cTm5JS4meMrm/5iysFoTCiui2jPS22vOq+4/mvqrq2sjj+CUoppu7dxV5uOZ+yzOymZkT9MRQEmAA15ThcvzJrPh4tXkpPrwO5yYVEm3IYmI8/OU4N6sXjXfrQGh8vNuv2xXNOhZeGGlBWp59hPChOVlZsPMOGZkUXOuw2D2St34u1hpW9Uo8JfI5fbYMzz35GakUv3NvV584GrMAzNh1OXoDXYrGYWfXw/N736A0cSM6gR7MfXz4wiLNgfAIvFjNlkKnV1wf/65pGR3PnxNA4npnP7oKK/br5etoIRFUPj7Vl5JkC1qBNGizphRDWsQ67dSfemJ9Yw7TuawsGENAytGT9zBfl2J6D44akxRNYIYdbanXhaLfRv34j07Dzue+83cvMdfPTw1UTULF1Bhf/Ky3eycv1+DEOzfXc8479ZBAo+fnUU9z3xE9qtsbtdmEwKWyUp636+UQ4D+hx/PRlYzH+SIK31npNexyulEoFqQPp53lsIIYQQpdQuqBFPN7ueVEcml9c6sW4j0OZP4PHXP3V9A4B8t4PfYxfROrAh9XxOv8C9LEzev4z1aYcAmBu/hbsa9qWuT0jh+aO5GUw9WDDdzECzNCGGu5ZNIcDmydsdh5bqw7PWmmdX/sOy+AO82nUQfcOLVu9qW70GhtZoQ7My9nCpkqCUnFyUAoe7aCU0Q0NSdi4mAzDApQ3MCnxMFqr5+RDo7UVaTi5aw/wtMTSsFsLd/Tuf8X4AGTn5WMwmfDyLlyaesWI7UxZu5JbBHRl8Fpth/uvkkZrkzJxi56fN38Sn05ajKFhj07t9wahNbr6DxOMjPVv2FpSQdrndhAb4kJyRS9tGtfH19uD3/7sdh8uNx38+JH/+2LUs2BBDl+b1Cqu6nQ1/b09+efqmEs/5enpwVVQzZqzdQV6+i+d+nMOrYwafdVW4suZyG3w+bzW5dicPDOlWZB+jk7WPrF34evHWffyweANDOzbH7TZAQ7CvN0fy0jGbFE6Xm2lLN/Phr0txOt1oDR4WM9owcLoMfl+6hcdG9TmneB99eRpHEzP47tfV9O3cCKfTjc1mJiklmx6dG7BsZQwAnp5WPn//xot+FAiOf3FxHsK01v8WST8GnHYCoFKqE2AD9p10+HWl1Bal1AdKqYu79qMQQghRifWq3obh4T2xmU7/Hain2cb19QbTMqBBucTlY/HAfPwjSbDNlxqeAUXOB3t442fxRGswDIXJsLH42F6mH97G21sXluoeBzPT+G3vNmKzM3ltbfE+bavXRLsAJ6yNiy3VNbvWq8ND3bvSLLQaVkwoA5QBNf18MbkAA9Cg3eB2wcwtu3l1+nwm3TmCu3p1RBngcBtMW7OVrDw7szbs4oclG4hPzeSLOav5Y9W2wo1CAVbtPMSgZycy8NmJ7D+WUiQWw9C8+t08dh9J4pXv/ilV/P/VMLxg1M9sUnzy+LXFzjuc7sJ4HM4TiZ+/jycPXNeTpvWq88IdBfsozVq5k4ysfJTWZGTl8dfy7SiliiVAAGHBflw/oD2RtUKKnTuTw4npHElKP22bRVsKPnZqYPaGXWw+aa+fivLezKVMnLeGH5dt4Lsl60vV55EvZ7BuTywv/vgPLnfB3kq5Dgd3DunMqzcPplndMBxON25DF1YntLvcoBQ2q5k+7U5MNdwfl8K4j2bw2/xNpbq31hq3W5OX76R27WA6tYtgUO8WdO/YgP89PYyaYQV/Zu35TrJyzm4z1opyxpEgpdR8oKSvgZ47+Y3WWiuldAnt/r1OTeB74Bat9b+7Yj1DQfJkAyZSMIr0yin6jwXGAtStW/dMYQshhBCikrihfjeqexZMjepfowUWU9HRAA+zlR963cG9K37haG4WsTmZhee8LKUrzVvTx58wb1+O5WYxuG7xstzeVhvBNi/S8vNxOA2yHHb8bKf/bjYtL5/GISG8G5dYUAkOQMOx1Gz49z1F/z9j0y5mbdyDCYVJK9yG5lh6Fle8/g3pufmYlOLbRdFkZOZhNpmoHuhL92YRACzffgCny41SsHn/USJrnEgaTCZFo/BQDh5LpWndc1uU/tNrN5d4/J3JC/hn9W7uGN6FoT1bkpaZS8fmRT+L3XBZFDectMi+drUAlEmh3bDncBJvfreAlg1qFk7HmrtmF7NX7eTWKzrRtlFtzpbLbfDct7OYv2kvVouJkb3aEBOfgt3pZOuhY4zo0ZpxI/oCcFPf9nw2e1XB+jeLmfCQgNNf/Dyl5eQRn5pB8/CwU46ITI/egaZgDV6A95krvuXaHegSPmX3bBHJ3Zd3KXw/ul9bktOz+WHeBqCg+tvkZ8dQNywIT9uJPyuvTJzDzgMJrNxygM6tIggPCzzt/Z+8eyCPv/obbkMzd/F2fhp/R5Hzwy5vy5eTl+I2NMtXxVwahRG01gNOdU4plaCUqqm1Pno8yUk8RTt/4G/gOa316pOu/e8okl0p9S3wxGnimEhBokRUVNQpky0hhBDiXBxMSmNb7DH6Nm+Aj0fl3QW9MjIpE4Nrnbo4wMSdK3l/62LcFFQfMCvF1fVaUc3Tj4db9C7W/khWBn/u207v8Pq0Di0o2+tpsbDgmjtJs+cS5u1XrA9AHf8AcpxOLMqE+QyFF1yGwZVffEeOw0GAlycZufmlelbtBhcGCmhfr1ZBAtSuCd8tLPjQamiN1rqwuICX7cRHtdG927J29xH8vDzo37Yhx1KzePyzGXhYLbx331C+fXo0++NTaFi7+DquPxZtZtLf6xjRvw03XXbmqX7/ys6z89vCLWit+fKPVTidbtyGQb7DxQePX33Kfh2b1+XrZ0cz/tdlbNoTB4C3Z8GH8Dy7k5e+noPLbbDrcCJz3r+7WP/45AySMnJoHVmzxERi8ZZ9LNy8D0Pr/2fvrMOjONc+fM+sxN2FkARCcAvuxbVosbZAWygt1OWU6jl195YaFaC0xa24u0OQAHF397WZ+f6YZUOaYJVzes6393Vxkd15Z+ad2Q28v3me5/dgskj8uOdMnZOaAD/vi7WJoLnDenD/0O4k5BTh5+GCt6tzg+MVVVRjkWUCPdXvRnFlDe9u2EdTPy/mDu5+0+lz5TUGRr/1PSaLxITubXl23G2NjuvWrAn7L6Xg5eLEHT3b3fC4DjotQd6u5JVUIQoC7SMCqaox0q9tfdMMnUbD43f0p1NUCJfT85k+uDPuLg1NPpoGeZGaU4JGFHBzuXEiVse2YbRrGcKFhBymjW34/RnYrxXrN8VitkgMHtDqhsf7O/BHa4I2ADOBt6x/r//tAEEQ9MBaYMlvDRCuElACMA648AfnY8eOHTt27NwUtSYz723YjyTLPDi0B3d8ugxZUdhw5hJf3zvhPz09O1exOzcRs6wAAmrSiYYxTdrRNyiy0fEztq8gvbKMheePcWbawzhq1eWOXqO5pgAC+O72CfyaEE/3kFCcddePMBktFspqDVgkGVGGQc0jOZyUTq1FArmu/0qrIF/WzlPrVe76YjmXcgqQZJmY8FDemDyMAA9XdW6ilq1n4mnfNIi5Q3twJjkbH3cXOjerc/Bq4ufJyufVY5VV1bJw3SESMgvRaES2nbjM1IGdaNW08SfwH/y8D6PJwmfLDzB9WMxN97NxcdTTsUUwsQk59O0Uye7jau1Ho2GJ3xDd1J/3HxnLvjPJRIb44O+l3nudVoOHiyM1RjNhAV719jGYLKzce5bP1x5EFAXuG9WD+0Z2a3DsIG83REFAFAQiAr0prqqhxmjCaE3T+61uEgSB6JDG+w2dT8/j3oUrQVH4+L6xdI9qwpQPl5FfXgXAkr0n+WruRNo3vXEfnMKKKoxmC0aLxNm03GuOe3/mKJLyignz9WT10Qt8ue0o47q14dHRfRodL0kyY7u1oaC8iuScImKTcxGAZ7/fwsH35zcYP6Bj83pOexaLhFmSbQ1nX5w9jOG9MogM8cXD9cZOiFqNyGevTb3m9gB/d375vqGY/TvzR0XQW8AKQRDuA9KByQCCIHQBHlAUZbb1vX6AjyAIs6z7XbHCXiYIgh9qhDgWeOAPzseOHTt27PwPUmMwkZJZRHREwO8qnG6MNccusO5EHIqi4OvugkWWMVskiiv//k0p/7/xTIdBzNzzMzUWM4oiIAgC7vprpxBdWRwL3FwzyCv4ODkzs0OnGw8EXPR63hk7jC/3Hye9qIw98Sm2lDgBEKzNKeOziriQmUvbJkF8PnMsBxPS6BIRahM/V3hwWE8eHFZnWHG9lC2T2cId/1xCVY1aeyEAR86mEhMVQlQT/wbjZVnBw8WRAlMVESE+NyWASsprcHXWo9dp+eK5yVQbTLg6OTC6bxsupeZze/+bs03X67QM+Y1Jg1YjsvyVmVxMy6Pzb2yan164kcNxabbXiVmFjR63TdNAli2YTnm1gc7NQyirNpCYXYhOo2HFwbPMG9Wz0f0a40JGHoqiYJFlTiRm8tqqXTYBBFBlNPPUkk1sf3H2DY/VLMCHWQO6cCI5k2fGDrjmOI0oEh2sirKPfz1IlcHEd7tOMHdoDxz1DZfnP++L5fsdJxEFAa0o2FIsIwMbur1lFZZxKS2fvu0jcXTQkZpTzH2v/UKtwcRrD45iUNcWaLUaerb/91iv/135QyJIUZRiYFAj758EZlt//hH48Rr7D/wj57djx44dO//7KIrCrGeXUlBSRbuoID59YfKNd7oJwnw91eaDgkCrEH/enTqCgwnp3NPv+n1E8iuqeG/HASJ8vXiwX3cEQcBgtnDfL2tIKS7lo/Ej6d608X4ddn4fnXxCOTPhSfblJrMrK5khoVF08Am+5vilQyfza+pl+oSE46D56+x6R7dpiYOo5ek1W7BYTRBEUQBFsfUNQoZ7F61h9cN3MuWjnzCZLTw2sg9bTsfTO7opDwzveVOpVmaLhKwoOOi0VBvMVFSrUahAL1cKiio5fD6Nw+fTOPHdE1gkuZ7l9gfL9lBgrVNKySqmsLQKPy/Xa57rl62n+OznA3i4OfHL2zNxc3HE1ckBi0XiQmIulqsiCrdCcXk1h8+lEtOqCQkZhQR4u+H4m+NkFZXbfnbQaXh0Yt9rHq95cF3an5erE92i1TqlTs1vrcZoVJeW7L+YgtEi0TUqlKUHzqguClcQIDLg5qylBUHgoeG9bun8t7VtxubTl2nfNAgHXeMPeVwd9bbvyV2DYjh4IZWOkcE8PFaNHGXkl/LRqgNEN/Hjx20nURSFmOgmvP3AaO557Weqa02gwNYjlxjUtcUtze9/lf8OI287duzYsfP/FoPJTHZ+OZKicOJSFj3u+oDJwzryxN2//zlajdHM8v1nCXF35+HRvRjUTk0b6dcygkPx6WgE8ZpP4t/Zvp8tcQk4aLV0bhJMj8gwTmflcCEvn1qzhS8OHbeJoEqDkeyKCqL9fP8rLGP/zijAk/u3YLCYOZOXiySBThTpF9rwaXawqzv3t2uYQvVXMKRVcx7q151Pdx3BaJbp2TyUb++dxO0fLCa5oASAcB9PjiZmYLKmSb29bh+CoqZhXc4u5JM5YymtqmXme79QWFaFIAgEernx/ZNT8HBxJD2/lBlv/ITZIrHw8Yl0bB7C01MHsPNUIg+M7cmcN5bb5vPMp+vZcyqZSQM78I8Z6nPqgtK6qAYK7DqeQPNQX1pFBODSSEPU3ccTsUgy1TVG0nNLaNtcFZwb9l3g61WHkRWF8ioDT85ovN7lWsx9Yzn5JVUIgmp1DgLfvziNqCZ1aWrvPjiaF7/dgsFo4cWZQwjycb+lc/we3J0c+WKumgJrkWR6tggjNi2HWqMZgAFtm/H6NNX1LimviAe/WYuLg55FD07C183lD5//tenDeOL2fni5OF3z34kJvdvh4eKEXqehX9tIHhhZP9L1+o+7OBWfydGLaUgWGUmSKSytoqLGgMlsAdSoaGZuKXlFFQT6/vX39e+OXQTZsWPHjp2/LWaLxH3P/4SiKLg5O1BpNAGwfs+FPySC9p5P5kRiJkazhQNxaRyJz+BydgGuLg6cTs1GEAS2PXcfnlcVFJslCZ1GQ7iPl9p7Q1Hwd1OfprcJ9MfD0RGTVMPEDm0AqDKaGPLV91SZzEzu0JaXht7agtFOfSyyTJXZhFmWyKqsYP7uDaDAJwNHM7RpFPHFhbx99AC9Q8O4r0OXGx/wT6Ckqoo7Pv+Z3IoqBEntO3I0IZPVx8+z4YmZLPhlC1qNyGt3DKOosppPNh9SLYuvijKk5qtC6Xh8BoXlVRjMFlAgt6SC4/EZDOncguOXMjCZJcwWib1nkujYPIRJAzowaUAHAMb2bcumwxdpFebPnpOqHfTGg3E8eZf6nfvHjEEUlFRyKTUfZwcdG/deIDu/DC93Z56bPYSY1mH1olEPTu7DK19upVVkAC0j6gyCK6sNNvOBo+dSgVv7TlfUGDGa1YaaCmoT1dLK2npjmof48vNLdT1/jGYLy3aext3ZgYn92t/Sw4Sf953h6OUMHh7Tu17U6HpoNSKf3jcWUOt7cksraRcWaDvv6mMXyCurwkGrYc+FZO7oeW1Dj5tFEAR83BqaNfx2zOBODV0Nr9As2JsLqbmIgsAT0/pzITmXWaO64e/lxkOT+rJ6zznyCypIyyllxY4zPDKtoaHI/zfsIsiOHTt27PxtKSqtIiu/FAVwcdZjUmSMJgsj+lzbfSgxq5B5H6zB2VHHoqcnczxeFTu392pjSxFqHaZa1+q0GgK9XPlu90kMZgsujnpqzRb0Wg2VBqNNBD350ya2nktgYpe2PDaiD53DgglydyPST02R8XByZM/8+zBJEk46HXsSUpi/cgMWWUHRwInMm+s7Y+faOGq1fDtoIutTLuKhc2TpxbOIgkCJoZbTuTk8s2cbiWXFHMpKZ2DTZkR4et34oH8ARVEY8PYiLLKi9gK6ygzh673HmditHW9NHWEb7+vmwh3d27Fk32lMkoSAmuL0zqxRAHRt0QQvVyeKKmqQLRKCpHCl8UhMixAkSY2dBHg1NHZ44Z6hPH3nQPrO+cT23uCuLRh0/+doNCIzR3ejRagfrz4wkmB/D4bOXYjBZCG3qIKn3l9L/y5RPHPvEFycVFfETi1DWftR/fqX0ooaLBYJJwctRrPE+IG3vvj/5MkJrN93gT4dIzh4LpUwf0+6trp+6uiiX4+ydMcpNKKIl6szg2KuLQSuJrOwjA/XHcBkkSisqGLxE1M5eDGNpn6e9azFr4efuyt+7uqDjsTcIk4kZdGtWRNWHj6HXqelR9Tfp2XLk1MGMKBTc5r4eRLk424TyADTh8XQtVUYs1/5GUEQ6dL67zPv/yR2EWTHjh07dv62BPq6M6x3a46cTeXhO/szqEc0sqxct4Zi/cE4SiprqDJo+HLjEbacuIyiqE+Upw1Ui97D/b3Y/vJsDGYL5TUGFm5TuzeE+3rSJMCLHlFhNPHxBECSZbaeSwBg9ckLrD9zkVcnDqF3s6a2c1YajHy6+wg+Lk7M6duNx9dsVhfHgJtOzyvDGpTP2vkd9AuJoF9IBAaLBRedA3pRg4ug5871KzFLEnqNBr1Gg7fj9d2udiYk8fivW2jm7c3dnTri4eTIoKjIG0YZfjoayyc7D6MVRcpq6qIiUNcLCACLTGFFlW0BfYUHhvfAx90FHzdnhneqbxbg7ebM5ldnU1ZVy6AnvsSIxDNfbWL7eyHkFFWg14gYTBZOXMpk2uDODeYmiqoZhKwoCIKAn4crBpMZURT4atUhZFnm1MVM/jl3OLPGdmfHkcukZBZhNElsP3yZgyeTWf3RfXh5qOld5VW1nE/IoWPLUFydHXj2441cSMxBI4r8+MbdRIbeXGTlalqGB9AyXHWv692hcWe/qymrquWnXWcwW2QUDbdUh+Th4oheq0EjCkQG+PDO6r1sOHERFFj73EyCvd2pMhgBgddW7qS02sCr04bi79GwVqrGaObOj39BkmQiA73Z/8oD5JZW8uyyLbg46hnRKZrbu7S5aRvtvwKNKNKt5bXFTVSYHxs+nINFkvHx/OMpfP8L2EWQHTt27Nj52yIIAs8/MKzeezdaaAzrGs3aA+dx1GuJCvVlywkAxdbp/gruzo64A8UV1ThqNBgsEo56HS9MHMiLP21n97kkXp8+HA8XR+7s1ZGVx84jKzIWSWbb+URu79zadqyFe47y87GzaDUikX4+eDk5UmtW6wmeGNCbTqHXLuK3c+s4arU8GaMWhC88eQxJltGKItPbdGBu5654OF6/+eQ3J05Ra7ZwOb+Qf27dhUYUmN29C7nllczo2omWgY1bKb+zdT+mK+lsCrg46Kg1m/F0dqK0vBYk1RUuu6iKgf/6hq/mTqBXdJ1Y1mu13Nnv+u5zCb9xQ6sxmImJbkJ0mD/ZheXMvKrHz75TSXy95jBj+rVh6rAYvvvnNFbsiGXiwPa4uziy5eBFEBRKy2pBgZyCcua++gt6nRYPV0eiw/2JS8oD1N49z328kSBfdx6feRv3vrCMkvJqQvw9+fHtmciybP0dUvByv37q1u9hzd6zfLzyAH3aR/Da/SMRBIGM/FLb7627iwPPfruZcb3b8vikfjc8nruzI6ufn0lKXjFdo5rw6DfrMZol9FoN5TUGVh0+x7c7T4AAeq0GsyTz/e6TPDN+AAC7zyexcOsRxnVvw/hubZFkGbMkcTm7kBGvf4dWFCmsqAbgRFIWigLju9+cY95/Cg+3G1th/3/CLoLs2LFjx87/FJ+vOYhGgcfv6M+onq1wdXLAYLYwrnfjC5SWof7cNaAzZ1NzmdqnA/d8spLk/CIEBCa9t5TS6lpemzaMJ0b05eEl60kvKmPuwO71juHv7opOI6IAvq7OrJo9nWUnYukQEkj/qBs/8bbz+5nRvhNZleXoNVqe6dkXB+2NlzYzYzoRm5OLp96RKoMJWVb44sBxJFnmSGoGex5p3Aq5ZaAf57LyQAFBglAPd1r4+rLlTHxdJEipiwrtPJdYTwRdSMvjpz1nGN29Fb1ahzd6jg7NgmkR6kdyThFdWoQy791V9GzblEXPTGkQqXr92+2UVxn4+Kf9jB3QntYRgfzr/uEoikKNwczGT+5n/8kkXvjsVyxXPQQwmiwUl1Wj1WjqRbBiL2cTSzZHz6VRVWPCbJHILawA4M1Hb2fjvgt0aBFyTREkywr7TiXh6uxA1za3lnL1zcZjVBtM7DyZyGOTq/HzcqVNRCBDukRzMS2PjMJyzJLE0h2neGh8b3SaG1vlB3i6EuCpRnZenDKYhVsO07pJAK1C/Xn4q7WAamNukWUEQaDGYESxRtL+tWIHZdUG3l23j5T8Ep6fMJDvdp8gvagMg8mC82+iUpJ8475Jdv5eCL99MvbfQJcuXZSTJ0/+p6dhx44dO3b+Zmw9epkXvtkMgCjAY1MHsPFwHEO6RHPXkM7odddeIOeUVDDyX99eeciPoAGtVsQsyUQGeFNeY8DHzYVv503Cw9kRWVZIKSgmxNsDR52WfQmpeDo70bHJjRsq2vn9KIrCi7t3cSQzk1cHDaJXk99X36AoCmZJYvHJWBw1Gj7dewSjRaK5nzfPDuqPr5sLr6zfRXZZBR9OG03rYH8sksQ/1+5k7YmLNvEgmOtEj5eLA1W1ZsySjAB8/cAEelhFUFxaHvd8sAKzRUKnETn4wfzrfh8BJj77PRn5pei0Gpa/OoMmv2ks+tSH6zh+IZ1AX3d+eXOWajigKDz85ipOXcxg/KAO9O3cjGc/2oCsKLRvEULP9uEcik1hdP+2eLk78+Hi3QT4uqPTiBw5mwao0dZ3nxzH92uPMqp/W8YNurn6n+XbTrNwxUEA3n18LF3bhLF080kS0gt4aEpfAq9yersiNuLTCyirruXnHac5eC6V9s2C+WbB5Hq9jIxmC30f+RyLLOPqpGf/Rw2bg94qyw/E8sbqPapTnXUp7KjX8sZdwxncPoqHF63nSHwaZmstlperE5/eN5anFm8i1MeDf04ezAcb96MRRXpFhzO+e5ubbkBr59+HIAinFEVp1CnFHgmyY8eOHTv/MwT61BWNazUaPlyxH1lRSMgs4nRCJv+YPoggb7dGG65mFZXXaw2iAUK8PcgqLsfT2ZHk/BKqDCYOXkpjVExLnl++je3nEnB3cqRFsC+3x7RmQHRd1Ce/vIqM4lIu5hQypmNLHHRanPU6u1X2HySppITVF+MwShKv7tvLlrtm/K7jCIKAXqtlTg91fTQwqhmnMrM5k5rN3CVrkRUQFAWDRWLRvhN8MG0UWo2Gl8YOYseZeKprJTxc9VSaVcdCFKioNqITNUgKIMNjX2/gp6emExnkwzPfbsZskQBwdXJAo7nxgvm2mOYs23YKfy9X/L0bGiK8/ejtpGQV0yTQ05YmajBaOHUxA0WB7Ycv8497BvPcnKGqoUhf1RzkztF1KXW/hvlzODYFnUa0udbptRpSsopJyijko6V7aBUZQHREwA3nW15lQJJlNKJIRbWBuJQ8Fq07gtFsocZo4oPHxyPJMg++vZIzidkEertRXFGDRZYRRQG9TsPr949oICYskrodGTxd/5yUril9OzKyc0v6PP9FvWiYo06N8Hx07xiScouY8+Vqak0W3BwdaN80iO0v1UUJP7537J8yFzv/GewiyI4dO3bs/FcQm5BNQUklA7u2qNcI8mo6RoXwwswh7DmTxII7B3HvO79QUKrm7R+5lMEdLy8hzN+T5S/e3aC2qEvzUHpEh3E0PgMBcNDp+H7+HXi7OXMkIYOHv12Pk15HTDO1EeOJlCyMFonCymoK46s5mpiBh7MjfaLDWX7sLG9u3ItZkhFFeHfrPmRFjU79+thMnPV6PJ0d0d9E6tat8Mu5c7y8ew8Rnp70Cw8n0seHKqORsa1b4eP859dx/CcIdnPDy8mJ4ppaBkU0TDU0SxKPrPmVCoORzyaOxusmrzvE050QT3fWHL9ArdmCRhQRZAWtKDC0repIJskyS/adprZWdXerqDLh4+JASZURQVY1hKRYa4YkMEgWJry2hNOfPkqYvydFFVWICHw893aGP/U1ZVUGfN2dmDqwMyN7tmrQwPShSX2ZMqgTnm5OjQp3jSgSFVa/fsnJUcekIR3ZeugS943vyVvfbGfDnvN0aRvG6P4NU0KTMgoxGC1IWpG+Mc04EpvKXWO6kVNQhlmS0WlFCkurbkoEzRjdFUmWcXdxJMTfg3tf+RlJVtBrNYRZo1i5RRWcT8oBBfJKKtUdBTWdTBTV2pzf4uKo56P5Y9kTm8yU2zo02P57cXLQ13v97sxR9GkVDqj3NjrEn+VP3Mnh+HT6t7antf6vYU+Hs2PHjh07f3supuYx940VCMC0YZ15cFIf2zZFUUjIKCTQxw2P3zwlrjGYGPrkV9SaLChW3SQKAns/fBBXp4ZNIgFkWSYus4BgLzd83OtclEwWdWF85Sn1gcupfLDpADUmM4UV1ZgsEo46La9PGcra03EcSEhXdxSsD9itmsvXzZmiqho0gsCup2fj797QjepGKIrCpouXEREZ0bqFLbo08NvvSC8rsw6qG+/qoOf0/HnXTddJKSmhuLaWLsHBf/tolcFipqi6hhB39wZzfXXbHpaejAWgW1goP959h22bJMtIstxAfMqyQlx2PmG+nuSWVTDn+zUUV9aCDD2bNWHRnIkIgsD6E3G8snIXJrMa0UGAbx+cyOLdpzh4MU295zI2a+srbHn1PrzdnHnqiw0cjcvAw8VR7Y+jKLYaIlEU2P/ZfBx/szD/o/S560Mkq7DYu/hRHPT1rz0uKZevlh+kX5fmTBpWZ9pQXlnLwl8O4O/jyj3jet6y89mCzzay+0QiAE0DvfjlzZloRBFJlnnsg7UcvZiOTiPi4epETKsm+Hg406lFKAM6Nf+DV9yQ2JRscksrGdYpusF1XM7K56f9sdw/rDuhVkdIO/872NPh7NixY8fOfzVVNSYE1LSY8ipDvW0f/bKP1XvO4aDXsvbte3F3qXMGc3bU8+mj4/l+6wnCArw4cCGV0d1bXVMAAYiiSLumgQ3e/+3CuW/LCPpEh7MtNoFfz1ziUEIGFknmmWVbkBUFB62G1mH+RAZ4s+pUnG2/8lp1/pKisD8hlUld2t3y/Yh5byFVJjUN6/nN2zn91EMIgsDMTh15de8+dXGN9S8FqmpN9F74DY/16UnfiKaEeHjUO97lokIm/PwzAvB4r97Mjom55Tn9O3HU6gj9zTVcwcu5Tgh7OtV9F/Irqhi/8EcqDQY+mjKaQa3qFtsvrtnOlrPxWMwyrg56ymuMthSpk8lZPLtsC6VVBtyc9Ko7nBUnnYZuUWGYLDKHLqapvYIU9Y8CoIC/pzOLt55k9b6ziKKIrCgNGoSCKsTyy6rxcJEwm6UGUaGbRZJl3vx6O0kZRTw/dyiyXBdZ0TQiZNo0D+KT5+9o8L6HmxMLZg/hwyV7uO/FZTx972BaN2v4ewFwKTWfj5ftpX+X5kwbrn53xvRpYxNBI3q34lJqPm2bBaERRT59aiLlVbVcSsunY1QIjrdgfX2rxKZkM+uTFSgK/Lz/DEsen1Zve8vQAF6ZPuwae9v5X8YuguzYsWPHzt+ac4nZvPbtNiRZoWe7pjw0uW+97bGJORjNFgAKSirriSCATi1C6dQiFICnpgz4U+f22Hcb2XMhGUGAAe2akV1aTnxOkWquICuk5paQllvCD/dOYMfFZNqHBpFXWclHOw7h6ezEyPbRNzzHFYqra3hl8258XJ2pMppskaVqkwWjNQo1s3NnZnTqxJncXD4/dJR9yWm2SFRRTQ0vbN8FwBN9ezGvZ53DXXZ5BQJglCQSi4v+tPvzn2B+n+5oRIEKg5GnbquLGJ5My6KsohYFePjHjbwybjCTurajqLKaA5dSMRpVcVNhFUCKTcwobD4drzZEFbDZYwN0aaZ+r/q0Cmfby3P4ZP0Bthy/rBpryOq4d+4bzex3VqDICook4ajXMrhLFD1aNuWrjUfIKihXrdWDvNlzIpFv1x1BAd58aAx9O956Cta5+Bx2HY3HYLTw2bJ9V/QwoiCgvSqlTlEUvl55iEvJ+Tw+8zaaBns3OFZCWgEb9pzHaLLw4ZLdfPPydNu2pIwCth+JZ1Tf1jz4+gpqjWbOxGfTo304EcE+9O4Yya6F81i37xxfrD3C95uO89jU/ky0prN5uDrRo234LV9fY1TWGnF20DUa6cwpqbDdg0u/sR+38/8buwiyY8eOHTt/ax56ZzUGkypyjsVlMHj+Qsb0bcPz9w4FYMGMQbz7425iWjah2e9o4PhHOJ6YAagL5uScYp4Z35/nlm+jrNqAWZIprzYC8MTizRx85UHbfnP6dbvlc31x4Bg7Lieh12rwdXGmqKYGgGY+njhe5TImCAKdg4PJKatEQEBBUfWSooA1dezXS/H1RNCAiAju7tiR7IoKnurdh/9mBEHgwd7dG7zfM7KJdbv6+tv9J8gqKmflsfNU1KjROfU+qX9Ea5qaXtBgQhVIggJBXm6UVNTg4eLIJ/fVFcYHeLry6t3Dqa4xse9sii3N7ePVBxjWLZptRy8DoBUEthy6xOaDl2jXLIjVr9/D+n0X+GDZHr7JOoyiqPUxJ+LSf5cICgvyQqvRoNcpdGsfjquzI7uPJdAyMgCjyYyDXo26XEzO45dNpzCYLLz59XY0GhF3V0f+OW+ELTIT6OeOo14LCnRq1YT1e87j7Kjlta+3Y7CmBC7+9YQ6xsrhsynsOZlIVJgfF1PyWLL5BBaLjFmEL9ceIj6jgAV3D/7TGosu2XWKj9cfINjbnRXP3Y2Tvn5UaXjnlvy8P5bL2YU8Mrr3n3JOO/8b2EWQHTt27Nj5W+Pm4oDBZEEBjGYJBFi//wLz7+jLueQcOrcI5bsX6qe4mMwWvt98HJ1Gw4wRXa9ppHAtSipq2HAkjg7NgunUPOSa4+4f2oMPNxwAIKOwjMe+28ixtx/mTGoW9yxcrUYUBPgzlnst/H3RaTQoCnw1ZSxtAv0Rr1Pj80Cvbjy9cSsiAoIo2PrEaASBZ2+r32xSI4os6NuP0tpavjpynEgfHyZ3aEu5wcDlfPXpeafQYPQ30Zvl74qrowN6rYjJoqaHtQ7058eDZzBYo4iCVfwIsvXzsmaRWSwSs26LYc/5ZLo0C2XOkO4Ee7s3eg5RFHh3zmgGPrmQ6hozggLnEnPIyCmmX4dITl7ORK/RUCObQYELSbkICOw4chmzSUIQBMJDvHFy0DFtWAxfrzrMDxuOMbBbFK89NPq612exSKzdeRYHBx2rP76P8ioDTQK9SMsq5sDxJBJTCnh30U5emDcCAH9vN0RRwFGvpdZoIjG9CL1Ow66jCYzq3wZQozUrP7yPotJq9p1K5IMle7BIFiTrPbpS+jRtRGdSMospqzbw8fIDatRMVI1AFFlNw9M7aCmrMrD58CVG925D++Z/TgPhX49fRJIVCsqryCgoIzq0vlFEZa2Rz+aOx8Pl+g107fz/wy6C7NixY8fO35of/nknT3y4lsvphQjW1K6OLYK557WfKSqvIsjHnRWvzwLg4NkUFm89QZC3OztPJiAIAt7uzozrd/26m2W7TrNo0zFGdGvJP6bexv0frSI1rxgUeP2+kQzvoqat1RhNfLL+IE4OeuaN7sk9A7uw53wSsam5AJgtMqeSs3hr3V6b8BGBDf+Y9Yfvw+TO7WgZ4Ierg55I34apS79lbJtWjG3T6pbO8frOvfx6KR69qCHY3ZXH12+hzGBAIwr0CW/KosnjAdiTlMLZnDzujumIj8vf33Wu2mhizPuLwQITOrZmbJc2OGq17LuYioNOi9FosYkeWzTI+rMiwxNj+vH46L68u2ovjyxcx4IpA+kSFYqiKFTWGHFzdrAZNIiiQG21ua6PEFBeZQQJHhrfB083J174Qu1lFRHkjSiqvXJATVFb+MwdLFx+gIW/HODw2VRkWWHXsQSem23C2fHapgkrtp3hq+UHEQUBJwcdQ3q1BOByaj4WqzHCqbhMSsqq8fZ0wc/blZ/fv4eEtEJe+GgDiqJgMll4a9F2isuqmDFWjaa5uTji5uLI7hMJKCiIgoCEYhNAEcE+3DmiK69/v53knMI6ZaSo/XcE4K4RXdDpNSxafxSj2cLyXaf/sAiqNZmZ+9lqMovKcHd2oGtUE5oH+9QbczY1hzkLVwOwaP4kgr3dqag1EBng09gh7fw/wy6C7NixY8fO3xo/L1deuHcod/1rGQrgqNfwyZMTGfTQQkwWibziStvY577eTI3BRKyQjYM1RczD9cZPgD9YqdZO/LInlkGdmpOaV2KrI3jp+y0MaN8MR72WH3efZvWh84iiSFN/L8b1bMOcId14dNEGqxWwSESAN039PMkqLkcUBba9cB+eLn9Ob5P2IY0Xpv9ZeDk5oRM1KIDJIlFj7YEjyQrxhUVsvpjAjvgkdiQmYZFlzmTloNdoSCkupdpowt3JgR/vugNvZ2dm/bSaU5nZNPfx5rNJt9PU2/Mvnfv1yCwup6xGTVG8lFvIa5FqLc+P86fy7a7jbDmToEaCBBjaoTmCIHIyIZOSqlraNFGtoVPzS1hz6DxGs8TbK3bzzKTbWLT5GCfjsxjatQVv3DeSlbtj+WbjEdt5r44AHjibwrGL6Xz+1CT0Wg1mi4QoCJRX1jJzTDe+X3+M4b1asfdkItuPXEaWFdpFBXM2IZuB3aIaFUDFZdUkZxbRqVUoWo1oE2JXRz4D/dzR6kQsZpmC0komP/kdqz68j9jLWew4HE/nNk0wSWpqm4JqPvLTppP07BjJkXOpDOnZkiBfd+4e3RVXJwfcXBzx8nDi0OkU/Hxc+X7TCQbN/9xmBIEAjjoNUWH+WGSZMX3acMegjpRX1fLNr0dRZDgZn/WHP9NzqbkkZBdiMFlo3yKY9+eMqbc9Oa+Y73aewGJRI2w7zyay/PA5ZEXmmXEDmNTr5hrA2vnfxS6C7NixY8fO357o8ADee+R2Dp5L5c5hMTg66HjvkbGs2n2WKUPqbH0jg71JyirC38uVxyb3R6sR6dUu4obH12s1aqod8MZPu9BpREwWCVEAFycHNBp1cRnk7a42uVTUGhCAvq0jWfb4NHJLK+nSPBR3Z0feuXskRxMyiQ72+9ME0L+Df9zWl3ZBgTTx9KB9oD+DmzVjZ0Iyvq7O3NmxA4+t2aQudjXgoNVQYzITW5hLrbVmq8pkYldCMh1DgjiRkYUCxBcW8/iaTYxsHc2Uzu1wc7y2M99fRYtAX4a1i+JkShb39otBURQEQaBlsB87zyYhoq7ffd2ceW9m3WLaYpHRalVBEeDpipuTA4pipKrGxCOfr8NgVK9758l4BrZvzts/7bbte0UAdY4KJsDTjb1nktGKIm7ODvTrGElCRiFZeWVMfPo7Vr5zDzNHq3Vipy9lIggCGo3AkJ7RzB7fg06tmnAyLoOn31uLv7cb37w8Ha1WZPpTP2CyWOjZIYJXHx2Ni5MeB72OAd2iyM4v451vdxIe4s1zc4fx5fKD5BdXYrHIZOaV8eKnm7BIMheScvBwdaSsss51cezAdtz/yi+YzBZ+3RfHivfuQa/TMrp/W37df45/Ldra8CYLdRc9cVBHHpvav95mD1cnZo3sxvZj8Tw08Y/XnbVq4o+XqxMFZVVM6NWWveeTWbznFFP7dmRA20ju+vBnzBYJnVZDixA/mgX5oKBgMkucSc2xiyA79j5BduzYsWPn309WYRkZeaV0a930lut1rofBZOZiaj4tm/pfN3XotyRnF/HMN5tJyS3GQadlXJ+2eLs5EeDlRvdWYQR4uQFqutLJxCwcdFraRwT9afP+T3IgKY0Xf91J16YhvD1uOKIgkFxYzOivliIpSqMFTQrw0ojb6BnWhHHfLMUsqWsJUYA2QQGcy85X8wAFQFbrkERBYHB0Mz6edP3alr8Ko9nC2LcXU1BexeRe7Tifmkd8diEIYJJkNKLAibcfsYmeK8iywvK9sXy56QgWi4SDRkNZjWp4oTrAKfXS567wyWPj6dkmHEEQsFgkTsVnERHszVMfricxvRAFBUUBB72Wr56bTKvIuihfanYxhSVVPPPRehRF4fYB7SgsqWLv8UQcHbT8a95IWjULZNKj32K2SISHePPze/fUm/dd/1hMcqZa5/Pu0+Px9nDm4yV76NgylLvHdmPsQ19jMJmJDg/g7SfHsnTDcZZvj0UQFEb3a8vmgxcxmS14e7hw7/ge6LQaXv12u3rwuku2pahenf8nigKvzR3JkG7Xdz88n5rLeyv30bN1Ux4Y3ROAnOJy0vJL6RYdZvu3QZYVCiuq8fdwqdcXSlEULJKMTquhxz8+o9ZkRiMKHHhjHre9+BUms4UwP082PH8PZovEyyt2kF1SwavThhHq07jFup3/Lex9guzYsWPHzt+GorIqpv1zKYqiMLJnK56bMeRPO7ajXkfn6NBb3q9ZiC9PTe7PY5+vR6sRmTawE2H+ng3GCYJA1xZNbunYiblFnE/PY0iHKNyu05/oryCvvBJZUQj2bLyQH+DdnQfIrahk26VE5vTuSgt/X9aeu4h85SGpctVC14oATOvUHq0o2gQQqDUg57PzbcYCCuq+V451pVnp9Zq2/h5kWebTrUeQFZlHR/Ru1DCioKKKwopqzGaZn/edtb2vEQVmD+7K4PZRDQQQwMr9Z/lwzX61rkaBWsUCCmh1IrIs09iz5PAAT3q1rYtAarUaurdpSnFZNUaTBVEUEAWRqDA/OrQIoWVEQL39I0J8MJosyLJap5OSVczM27tx5EwqPp6udGwVioerE4/NGMDB0ynMnay6nl2JcOUWlpOaVQyA2SIRGuBJsL8Hrz06hrziCtbvOc/Hz04kt7CCru2a4uyop3PrJqzYEYvRIrNu73nuGdudM5eziE3I5u0fdtVXeEKdMYJifb9ZqA8Z+aWYrYKypKLmhp/ba8t2kphdxKWMfL7afBRBtLW4onebcD6bp9agzf50JbGpudzWLpL37xuD2SLx8DfruJRVwOt3DqdP6wgiA7xJzism2NsdF0c9Xz04gQMXUxnXvS0AOq2G16YPv+Gcfg9/xXfazl+PXQTZsWPHjp1/K2VVterizmwhPa/0Pz0dGz1aN2Xne3PRajT1LH//CBU1Bu7+8GdkRWHb6Xi+mjfxTznuzXAyLYvZi9dglmTahwbyxV3j8HRuWB81ok0LkotK8HVxoYmX+nT8zi4dWHL8DAaLRHM/H54d0g8nrZbpS1cC0KdJKBklZbg7OqiGAlctkEVRQJatkSHAQaPBLMv4u7iw+2Iy47/4kdUP3InuT3Sae3vjPpYdjAWg0mDkpYmDG4wJ9fZgfLc2rDx4rt774f5ePDLq2ulZBpOlUXe/WUO68O2m41aFqF5vmL8nHzw8Dh93JwpLqvDzrmt4WlVrZMqCHzBZJKLC/Fhwz2Bahgc0cmSV6HB/7h3Xg7jkXB6a3p+wQC/2Ln603pgJQzoyYUhHAH7dd4G3vtlBdIQ/7z89HhdnPUaThV4dIwj292D3sXhe/HwTkqSg1Yg46LU4OOhYcO9g+sU0p2eHCAZ0iWLn8XgUBXKLK7iQkodFrhPDV27E1bpP1AgIArRtHsSSf97JtxuPoigwvv+NmwC3jwwis6AM85WapKtOdS5FNRuxSDKnkrMB2HM+GYBLWQWcScnBYLbw5baj9GkdwbcP38HFzHxahfoD0CkyhE6R13Z2BEjKK+LehavQakSWPDTld0WHXl+5ixWHzjGiczRvzRh5y/vb+c9hF0F27NixY+ffSvNQPx6a2IezSTl/Sm3An4nrnxypMUsSkqxgliQqa41/6rFvxIWcAsySjKwonMvKY+XJc432J3qwb3cmd26Hu6ODTZgEebhz7tlHGow99dQ8er/3FUfSsrh/2TqySsrVDVepBI0AHUKDSC4q4fGBvRAFkfzKKtafvoisQGpxKQWV1YRcJzp1M5xIzuL1dbvpFRVGaVWt7f3yGkOj4wVB4LkJA9kVm0RJVQ0aUeDlaUMZFdPyuueZPrATAqDTiny4cj8WWUEjCkwZ2JFLqfkcjktTo2UKjOjRigNnkvh0xUEAhvdsyStz1YVxRZUBo8mCySJhkeTrCqAr8505tmG/o8Y4ei6N17/ZhiJDUnohBSVV/PL+vWTkltA2SnVh23syCckatbNIMpZaE9UGMwuXH6RfTHMEQeDFucNwcNBSVFZNx+hQdhyLt51DoxF4+f5hvPbdTrUGTARvd2eqDSYEATxcHNHrtDw44eZ/p5+dOojxvdtxMSOf13/ZhSCAi4MDVQYj88eo6XGiUOcxLykKP+w+yR292uHr7kJOSQXjrZEeJ72OmGbXjwJX1Br49dRl2oUF0i4skK2xCZRV16LViOy+kMyM/p1tY2VZISm/mCY+Hg16D13NumNxAGw5Hc/rdw23R4T+i7CLIDt27Nix829n2pDOTBvS+cYD/wtJzSthxge/oCgKi5+Yygf3juFofAbT+3W86WPEZeZxJi2HUZ1b4fU7jRXGd2rNlvPxnM/KQysKtAryv+bYG9lcS7JMfkUVeeWVWGQ1LSyrWBVAtn4x1rWqVtDwzJB+dGpS3wK5uY8Pb2zZS9+ocII93H7XNV3N6+t2k5RXTEZRGT89PJWKWiOKovDq5KH1xi3bd5rPNh9mUPvmvDp9GGufncH59DximoXi7NBwcVttMPHsos1UG4y8cd9IXJ0cGN+nLW7Ojkwb2BmT2YJGI6IRRT59fALfbTrGF6sPgQIrdp5BJ2hsQZM9pxJtxw3282D+lD4cPpfGQ5P7/uHrv5qft5xSoygChAR4EBHqg06rwduj7nOdMaYb2w9ftr0O8HWnsLSK4b3rbNR1Wg3Pz1bvX1WNkZ+2niK/pJJZo7sxIKY5KTnFWJDBGsQb1DWKod1akldSweAuLW553qIo0LppAK2bBjChd1vreyKyrHAkPp3bX/+e3q3CbSl3KPD5lsOE+Hiw8fl7MFos1xUoOaUVlFbX0iY0AKPZwqT3fyS3rBJBgLVPzmBI+yiW7j8NCnRoqtb4VRmMDHr5G2pMZkQBgrzc2bhg1jUjlzMGxLBk7ynG92hrF0D/ZdiNEezYsWPHjp0/gdS8EtYfuUBibhGHLqUD0DEymB8en1JvXH5ZJfllVbRrGlivyPsKZdW1DH5tEbKs0L5pID/Mm3xT55dkmdnfruZ0Wg7PjhnA1B4dAMgoKUNWFMJ9vH7XdVUZjAz84FsqDUZcHfRUGkx1G39TJ7JgcB/ahgXRpemt12Vdj1/PXOLNdXvpERXGu9NHUmMycceHy8gqLcfbxZktz96L8zUWwwOe/5LS6lpEQWDvaw80aJq5Yt9ZPl1/kEGdomgd5s8P205QXF6DJCuM7N6SbUfjkRWFjx8eR6+24Q2OX1Fdy6CHvqj/ptVPYtaYbsz7N0Q7D5xO5tmPNxDs68F3r96Jq3PjEc1ftp7i+3XHGNa7FY/e2Z+aWhNut9BENK+kkmkvLqbaYCI6zJ8PHxuPr4fLn3UZ9Rj92ndkFpWjuarRLwo46rW8f89o+raqq7lac+wCb67bjckiE+zpxpqnZrA7LokFP6kudqM6RdM80JePtxyy7fPo8F7cM7Ar/f75JQaTmVAfT9b/YyZrj8fx0vLttnEaUeDufp3ZcTaR+wZ1parWRESAFwPaNGt03maLhNFiwdXqgng5q4BzqbkMj4nGvZF0VDt/LXZjBDt27NixY+dPYNeZREoqahjXuy06rYbj8Rl8vfkoY7q34eutR8ktrkC8yu0uIqC+8MgtrWDCm0uQZJleLZvyyvRhDRZGsqKgKAqSLGO2SDc9t6yScs6k52KRZRYfPGUTQWF/sD/P9ouJVBrUVL4qg6ku8vMbWgf4Mqtv1z90rmvx+bYjlNca2B2XTFZpOYcvp5NfWomoQFMvD4a8/DUD2jTjdWvh+7m0XB78cg1erk4M69yCXw6ctdqXNxQHX20+QpXBxIajcWw8HGerS9FpRPKKrZEv4Jtfj7Bu/zmKymt4dfYIQvzU+hFnBz3uLo5UVF+VhifAkW8f+7dFBvp2bsaBHx5rVFRfzdThMUwdHmN7fTMCyGyR+GLdYWqMJh6e2JfNH8zFYDTj5d4wepiSV0xscg6DOkY1EJu3Su+W4aw+egFfN2eqTSbKa4w08fXgmfED6gkggC92HMVgtbjPKq3guz0nOJFS14to/+U0OkeEoNOImCUZrSjSv00zZEXBaLZgkmSqrN/x29o2w2G1BqNFwt3JgTv7dOTLHcdRFIU3Vu+21UjpNRpOvaumjK47FsfSvacY0j6K73adwGSWePz2fozr0YZZ7y9HVhR2nE7gm0fvAODDVftZuvMUWo3I9rfn4Olady8tkkx2YTln4rPYdSKB5Kwi2jUL4vV5o/9UJ007dhFkx44dO3bs1OOjlftYsfcsfdtH8vbcOjvnY5czePH7rSiKQmFZNfPG9uLZ77ZQUllDbHIOTf290Gk16LUaXps1nOKKGsZ0b13v2LklFerCyyKxLy6VB79cy7InptUb4+3qzJezx3MyJYuJ3W9cXH6FUG8POjUN4nRaDjP7xNx4h0YoqKji3S37Cff1Yt7AHgiCQMcmwWhFEYssc3uHlmw4e9nWWLTOJxnenDDsd53zZhjbtQ0Ltx+hWYA3QZ5utAzxUx3gJIhNUwvoN568xORe7QnwcOPLrUeoqjVhtki0axrEk2P7oddq+W77CQ7EpfDE+H60C1fTn8b0aMOSHSfpGBnMpbR8W7+oKQM64uXqxOmELBQFziXnIQiAovD95uO8MFN1NdRqNfz48p089O5qMvLLANCIIpL05ziG7T+dxM9bTzN5SCdu6xp1zXE3EkC/ly3HLvPL7lgkWcbb3YX7x/TAqZE0whqDibvf+RlJlvlx92k+uH8M4QHev/u8Cybexl0DOuPv4YpGFMkrqyTYyx1RbHidt8e04utdx21piG2aBOCg13IyRTVUmDOoG3f0bI+PmwuSLNM7OhwXq4X+V/dPYPvZRMZ2bcPFrHwi/L05+fYjyLKMaP0cd5xPIi2/BB83F/LLqwAwSRLP/riF0ylZ5Jao7yXlFNvmtGjHMcZ0a4VstfGuMZlt237afRpQBc/CDYd5bnqdkccD767kbFI2iqxasAvAkfNpXErNo13z+immdv4YdhFkx44dO3bsWNl/LoWlO9QFys5TiRSWVuJ3pUeQ9QmwooCkqNGB5sE+nEs14enixBePTGDvuRS6R4cR7OtOrdGMTltXR1BVa+R4QiYxzUI5fDkNWVEoq66lMbo2b0LX5rdmxa0RRb6fc8ctX/PVvLN5H1svJKLXamgbGkj/6Agi/bw5vOABTBaJu75ZjqDUuXghwMFn5uDj6nrd494Ksqzw0srtnEnL4ZU7hhATGcoDg7ozo29nnHRaVZiFB7PxmZnsjUvhzTV7bPt+tfUoRxMykK0GAJKk0KNFGHqtlpySChZuOozFIjPj3V94dFwfZg3pymPj+zJ3VA8cdVoWbz/F5+sPohFEVu47hygKvDF7JK8v3UlVrQlFAb1GpEt0/c8myMeD1W/dS3xGAat2n2Vot2j0uj9nifXC55sxmiycS8jh4PeP/mVi51oEeqvff61GJNjHHUVRqDWZQaFeLy5JljGYLEiKQkpeCVPe+pE1L8wk5Hf24xEEgSa+nrbX13Nue2h4L85n5nI4IZMhHaJ4df0e8isqUTTgqNMS7O2OIAgMate8wb4xkaHERIYyd9EaTqZkE+zlxoanZiKKIjmlFYx86zssskKrYF8WzZ1Enxe/BFTDhp3nEzGaJNsDgasM9NCIAo98vZ5/3DGAnOIKJvftYDtnq7AALqTlAXB7zza292sMJmITs6+6B+rx3JwdiQj2ueV7aOf62EWQHTt27NixY2XHifh6r6+urejeKox/3j2U4opqJvZTu81/Om8c59PyaBHii5uzI5P7daDaYOL2l7+noKyaJ8f3ZfptqgHEu2v28evJS2hFkafH9Se1oIRp/Tr9+y7uJgj39UanETGYLTz600aWzplMu9BA3Kz1DbXWp9kCqCs+GXJKKxsVQbUmM/vjU2kV7E+Yj+cNz20wW3hk8QZSC0ooqqzBbJF4Y90eJnRtS7/WETT5zTGCvNyZ0qsDpZU1HE3M4OGRvXjoq/U2BzSdRqRlqD++7mrNiqeLI4JVvSnAx+sOckffDrg46m3F9bOGdWFs7zY88ulaLqbno9NoaNcsiMfu6Mdnaw7Rt30Ec0b3sKXC/ZboMH+en/Xn9b0CaBrkRUZuKcF+Hv92AQTQrVUYHz86ji9+Pcy6Yxf4YN1+Sqtr0Yoi3zx+Bx0j1eiEm7Oj6okuAdbeUCWVNb9bBF3hSu+ja3Epp4AdF5L4x9jbCPPxoKCimjHvLbYJdWe9jk7hN46gnM/Mw2CxkFJUysKdR5k/pCezv1qFRVILvC7lFOHm5MjZ9x6jqLIKSYaxb31vnaT1ILbmSVBaZaC0Ko+0ghIOvj2/3rmWLJjGhdRcUnKLKSyvtr1/7GI6Wo2o9qQSYEzftswd2xMvd+d6D1Ts/DnYRZAdO3bs2LFj5a6hMRy7lI7JIvHKrGE4OdQ96RYEgW6twnB10tucovQ6LTFR9U0AUvNLKKmsRZJlNp+8THxOERuPXaRZsA8aUUABYpqHcueAv5873vxBPbicW8CeyylYJInDSRm0Cw20bf/u3kksWLWVC9n5an8g4ERKNu2aBNnGVBmMzPluDfG5hYAaodq1YDbuTtevETmSkM7J5CxMkmRbVGYWlfH+r/v5aucx9v1rboPFsCgKzBvRi3kjeqm9iRR1werioCMq0Jcao5mk3GKaB/ng7KAnOtSPC+kFtv0dGonWeLk6ERnkQ0JmIcO6tCDI253xfdsxvu+NUxNziytYs/ccQ7tFE9XE74bjb4avX5jKxdQ8WkVc31L7ryS9oJQLaXmYJOuHLoBFljkUl2YTQQCjurZiw/GLiILArMFdads08BpHvDl2xSXxxE+baOLtyfKHpuFy1e8jqFHDGV+toNZkZtWJ8+x/fi4hXu7c2bsj+y+n8tTIvvSODq+XlnguM5fvD55ictf29GweBqhRrNvaRLL+1CUU4ItdR5k9oCsFFWqa25WGwWfSsomJDKWwooZZny/HYJYQAGcHHVN6taNFiD9fbjlCfnmVGiGy7tsYidlFvL5sF7Ks0LNNUz5/ZAKtwwNxctBRazTz1NQBTBrY8Q/dPzvXxy6C7NixY8eOHSvRTfzZ/t4DDd4vrqjmzZ92syc2CTdnR75+YhItQhtf5LYM9adXq6ZcSM9j3qhezPtiLQDp+aUsuOM2Qnw9aBl6bbvq/yRVRhOHEtOtaV8abu/Yqt72SD9vVjw4nbWnLvDimp3IisKlvIJ6Yw4lppOYV4TRauqg10KtyYL7DZy+RVGoJ4D01ifiZkmm1mTGaLbgaI3Y5JdXMP/r9UQGevPO3aMA1VXPLKn23aIiEJuq1gpNfHMJdw/ozFMT+vPBnLGM+dd3mCWJV+4a2mihea3JzK9HLqIAe84m8/JN3juzRWLCc99htsh8v/k4Oz56AC+361uP3wxOjjpiWt1aauS1sEgyIxZ8TXFFLd1bhvHF49dv3qsoCi8u3cbus0mqALrqdgV5ujHuqlQugFfuHsazUwZyLi2X73af4IONB3h8dN9G63huhp+OxGKRZHLLKjifmUcPq2i5giCATqPBrJHQWx9MCILAU6P68dSofo1e//QvVaOC7ecTOf7P+cRm5PLzkVgOJ2SAACICLYP90Gs1BHm5k1qgNnRWgPWnLhITGcrBy2m22jFBFAgP8Obxsf15c/UeMqzW8QFernQMD+aBET0avbayKoOtqfCpeNXEIcDbjS3v34/JLOH+B40l7NwYuwiyY8eOHTt2bsB9764gs6AMBaioMXDfeyv4/h9T+HLjEbq2bMKU/h1tY7UakQ/vvx1ZVkjNL2Fst9b8evISU/p2YEKvmzc6+E8goC4itaJIM38fgjwb7+czqkMrjqVkkVVSzkODe2GRZLJKygn19qBjWDAOOi1mSSYmIoRJXdoS4HHjmiE/NxccNBossmooYLHUCSKDyUK3BZ/h7KAj3M+LhNxCLJJCQm4Rzjots4d0Y/nBcyiARiMytHMLVh++YDv2sn1neGpCf/y9XDn2ccMmsFfjqNPStWUTTsRnMbRL9M3eOgwmM2aLbHv91brDLLh7MOl5Jbz38x4CvFyRZJg7rpetzubfzTvLd1NUUYsgwNH4DAwmCwaTBQe9iJNe32B8YXk1W0/Gqw55VwSQoIqP756cQrXRxNQPltHE15M3pg9HUhRuf3sx+eWVKDKcTs2hX+uIW65vu8KsvjGcTc+lqa8X7cOCGmwXBIGf501l3+VUBrdpWO/zW2RFRrkqJbKwooqHlq7HZJEQFAG9VsOcAd2Yc1s3BEHgy/vGM+WTnyitNiAA5daGx6M6t2TDyYuYLRJjYloxrU9HAE6nZNnqgsL8PHnnnlHXnMudgzqx50wiCVlF3D+6Tig56nU2sW/nr8UuguzYsWPHjp0bUFlrrJfVYjCZuevNnzBZJPacTSKmeSjNQ3zr7bPgh83sPZdMoJcbxz985L+ikaKrowOL59zB8ZRMxvwmCnQ1eq2Gt+5Q7agtFpmpC38mMa+Ijk2DWHz/ZPY+dz8WSb5uI0uAiloD+y+l8tWuY2SXVDCxWzsi/L0Y3K45I9/4rl5kSAGqjWbistTI05W6pDXHLrLm2EU8nBzQW+smxvVoS3SIP2+u2o2iQMQtuJQJgsCcUd0Z0qUFt/dqc+MdrLg5O9I00Iv0PDVyUFJZA8AdLy22GTUgQHF5NZ88PuGmj/tnYjJbi/ittSsv/LCFneeSAPjusTvo3Lx+aqcgKkQ38eNiRgG3d2/FppOXsUgyWq1ISVUNi3ad4GJWARezCjickE6ItzvFldVqVqKg3ssQ799fE9Q3OoKTrz583TFNfb2Y0adhDyxJlkkrLqWJl6fte6HXanl/2ih+OHCK6T074O7kiEWWUUTwdnbkpdsHMbhNcwRBoKiymtSiUioMRhDV75/JYgEgLiufjpHBhHq5I6Pg7aqGOZ+bOJCXft5OE19PPrhndIM5XY1ep2XJs9N/x12x82dhb5Zqx44dO3b+qykur2bv6SS6tAqjaeDvawh6Iy5nFLBy71kCfdzIKChlx+lETFf18Hlv7hgGdqz/JHrQs19RXFmDRhTY89YD/7ONEts99xGydS0hCrBw5njaNQnE8yauN+a5T9S0OetSxFGn5eQb6qI3Ni2Ho4npWCSFzacvk1lUXm9fmznD1Sjw0uSBTOqlOnHVGs0k5xXTJizgpk0FLmcWcM+7yxGAO/p3oFmwD19vOsq4Xm2ZPbL7dfctq6xh/ger0Ygi/7pvOD4eLgx6dKFtbnqthhZh/pgViYfH96FHm/CbmtOfRUW1gf5P1jV29fRwpNTa36h363BSi0ro1qIJ/5o6lKnvL+NiVgECsOHZWTT19yKruJyPNx6kTVgAM2+L4ecDsby5bm/dCURoE+JPjcnC1F7tGdiuOYHXiCb+2Ww6f5mEgiLm9++BXqvl/qVrOZaaSZS/DyvnTm+8MXGNgV5v1N2P3U/PJtDDjcS8IsZ/+iOyouDj7EStwUyb0ADemTYSjSgw5I1v6/XwGtA6ks/uGVvv2LKscDm7gFAfj1v63b+Unk9KTjGDYlrgqK+LVciyQnx6Aat2xjKidyu6tA67zlHsXMHeLNWOHTt27PzPMv+9VWQWlKHTatjx8YP1XJQsFoklW08iCHD3sC5of6fDUrMQHw5fSqe0soZ2EYHotRokSUZGwdPVqYE5AsCL0wbz6cZDNAvy4eWfdjB7WDd83F2Y89kqTBaJLx6cQLj/XyPa/l2YLBabAAIIcHPl8R834unixI5n7ruu8Li6bugK/u4uNjewjuHBdLS6ej00vBfl1bU88+MW2jcN5HJ2IXvjUhoeVIAPfz1IEz8vmgf64uPmfMvF+TUGE4IAZkmistbIeyv3UlVr4otfDzOhTzu8G2kSCmrd2NNf/YqDs56xvdow/fVlaDQidw/rzOq952nXLIjbOkXx5k+7QBB49LP1HPvi0Vua2++lvNrAM4s3Y7ZYCAn2ILOoHE8nB56Y0I9/LduBViNyIiUTo0Vi7dE4bu/ahovZasRNATadvsy84T0J9fHg3Vlqipcsy4zq3JIPNx+gxiLZAkwzb+vCiI43n0b4Z7DzUhJPrt4CwNGUTJbPmcap9GxMFomLuQVYZNlmZnI1jjqtrQeWRhRYsHorl3IKaeLpYftel9bW8vL4IfRtEY6/uytVBiN6rQZZVhsaA+SVVXI4IZ1O4cG26Oeba/aw/ngcjnodm1+4B1fHho16f0tOUTn3vb0CgGOXMnjlXjXa+tnKAyzZdAKNAJIEWw9fYt+iR+zNU/8gdhFkx44dO3b+q6k1mjFbi5RrjCYOnUileYgfLcL8WLv/PIt+PQpAUXk1Jy9n0r9jc+ZN6H1L56iqNVFYVoWsKJxKzKZLi1CevKM/QT7uODnoGl1gDWjfjE7NQhj8/FeYJZn4rEKmD+xEdnEFZkli1se/YDRLtI8I4ou5ExBFgRqjGZPFgqfLDVwE/gZ0eelTas0W22snnZYak4VaswVzRfU1F55XCHCvqxMSBNCKIgUV1Ww4dZGxXRqmoXm4OPHlXDWNTFEUnlu2lU2nLwMQ5uNBhjVS5KTT8cii9ei1Wra9NBvnRhp7Xo/OUaHEtAzlQFwaueWVdG8Zxr5zKUiywvDnv2HhwxPp0qKh6N145CLnU9WGqpKsYLZICIJAs1B/9n+uRrfySyp58+fdgGrh/e9i/bE4TiZmYpbr3N0qTSZOpGRx6pPHABj80tcUVqh2zS5OetydHKioMSIIMLxji3rHqzIY6fnyF3UCWGPtHSVAu7A/5gj3e8gqq4sSFlZVsXD/UdxcHKiWzOg1GlIKS/B0dmRfYirOeh39oiJwd3TEUafl10dnsvZ0HFVGE8uOxgJwMbfO7ENW4NX1u/Fxc2bXP2bj6ujAqsfu5FxGHquPnae82kBJRQ2Pfr+BliF+LH1oKgCxqTkYzOpDgqKKmkZFkCTL/LznDEazxIzBMRhM6u+TWZIoq1J7iJVU1LBs6ykUBSyq+SFmWUb8D9il/69hF0F27NixY+e/mo8fn8D6/efp36k5by3Zxb4zyYiCwKo378HN2cG2WNhxPIGSyhrS80qZOKA9AbdQnJ5dWM6EPu1YdeAcAJcyCohucmOHN0e9FmcHPSaLhRBfD3pGN0WrOYhZUvuIYC1QX33kPD1bNmXy+z9iNEu8c/cIBrWP+n035C9GURReWr29ngB64fYBTOvZiWPJmXy//yQTu7a9rgACcHd2ZOuCe9l85jLODno+3HQARVFsrlvXQxAE3rxrBFN6d2DzmctM7NGOIwkZuDvq+Gr7cWpNFiySQpXBeEsiSJYVRFHgXKrayPLY5Qz2vjWXFqFn+WbLMSySzMELKcREhZCUW0yAp6st1aljs2C0GjUecveQzvyw9SSerk4M7NScT9cfJD67kBenDeb9eWPYdSqR+8c07hr2V9C2aWCDqJwkK2QXVdher15wN9/uOEHvVuFczinEoEgoWujVsilnMnMJ9fVAr1WXjUeSMupFAK+EgQK8XNh0Pp57+8Tc8PO/FcySRF5FJSGeHo0u/md078zxtCxSCksY1KoZn+47anNeM0gS/9q0i3PZeUjWObcM8GPdA3cBEObjyaNDerPjYhI/HYtFvlK+deU0CpgkibyySioNRtwcHWji40kTH0+GtW/B4YQ0Hvl+A5KskF5YZpvTi5MH8c7affSMDqOpn2ej17X5+GU+23AYRVHQ6zTcPSiGl2YOIS4tn5nD1Qyu7389ZmvOfAVBUN0UzRaJN77ZTkZuKQtmDyEqzI/ismpe/WwL2flleLk5seCBYUSG+TZ2+v/32EWQHTt27Nj5ryY8yJtHp/QH4LGP1qpP4IFag4lh3Vvautrvj01m89FLeLs54+V240hLam4xrk4OJGQX8djn65BkhebBPiAIzB7R7abm5qDTsvK5u7mUkU+36DCc9Dp+eHQKU95dVm9csLc7FzLyrJbQEnviUuqJIJPFwrHETMqqazmalMndfTvRMsSfs+m5vLx6J53DQ3hu3G2U1dSiAD6uf9ya+bdIsszhpAy2xF5m/ZlL9bYNb6emP3Vv1oTuzeo7gZ1MzWLNyTgmdW1L5/CQettCvT24f1B3W1qRoihM6Na2wbmT8oq4/5s1KMAPD9xBUz8vJFlmzlerMZgtbI1NwM/NhYS8IpDV2qQZAzrjb3WlUxSF9Sfi8HZ1pl/ryEav7501e1m27wwjYqKZObgLX24+wuCOUbi7ODGxb3v2nkuhxmhiQp/2fLrxEMv2nsFBp2HjS/fi4eJIx+YhbH5jNgBebs4M7qxGT7acuMx3208AMPujlWx8+V4GdGxORmEZ095ZhrebM+/dOxqnW4xY3QqBXm7MG9OT86l57LuQTPuIYAI93Zg/oqdtjIezE0+MVW2lE3KLANVp72hKJsfTsknOL+Yfo9Xfs5bBqj28Ajg5aIgO8MMsy8QXFfHF3mOIooAoCvRp1pTowFvvl2SRZe5avIK8iko+nzyWR1ZtJLu8gl4RYXx3Z0Nbb1EUaBMawK7kFBYdPYXNos1KhK8XZ7Jyba/TSkoZ+9VSejQNYcP5eLxdnJndqwvf3TuJF9ZuR0Dg0UG92Bufwpm0bHLKqtBqRTKKy/hw20GySiv4YNoolh44zY4LiWi0IjFhwXRr1oSvdx1jWq+OtG8axI+PTbWds6LGwANfrKGooppP5oylZag/Lo56m4GEi/XfqeHdWzK8e0vbflGhfuh1WhSNgoeTA2VVBu4Y3AGLJLNx73m2HLwIwPzXVrD96/n8vPEkJ86rNvfZeeV8ungvH7446ZY/g/8P2EWQHTt27Nj5WyDLCmfiswjx9yDQx/13HUO66ul0WKAXgiDQr2MzAPp2iOTOoTEE+bijb6RJ5tV8vvYg3289iVYUmDWiK5L18XBSTjEHPppvW7DcDP4ervi3q0v9ahnqz2Nj+rBs32l0Oi3zRvSkd6twaowm2jcNorCiilm3xdQ7xoJlWzlwKRWDNfpyIimT7S/M5q31e0jILSKjqIx2YQG8smY3oPDNnIl0jgjhtXW7iPDz5s7enW56vlewSDKXcguI9PPGxUHPu5v388uxs7aGmVfWmPMHdsPrGqJLURTmfr8Wg9nCzrgkjv9rvm1bUWU1sqLg7+6KRhS5q08nCiuqGPXe91TUGvlm9gTahgby4eaDfLtHFRGCANvOJXL/oG4ICDjqtWoaFooqgKyLX61WQ7vwINscBv7ra4qtbm3PTbiNqVZL46tZffg8AFtOxfPaB8O5d2hX2zZvN2eWLahz8jqVlIXR+lnkllTg4eJIRY2Bl5fvRAFenT6ULafi+WLLEVpd1ROqxmiy/bx450kuZxbgoNOy53wyI7vULXz/TGRZYcpHy6g1WQjycuPUB4/dcJ8WQb5sXXAvJ9OyeH7ldiRZptZstm1fceI8klWzVcsSiaUlPDO8H29s2gvAkmNnKK2p5fN9Rzn6jwdRUPjy4HHOZecxpl1LxrVvfd3zf33whE20zF+xgdyKSgCOpGZec5+lx2PV74L1OyBcJYQ6hAaxJyGV8tpagt1cyayq4nJBEZfzihCA0hoDL/26kw0PzmDHE/fZjjmqQ0vOZuby+sY99IhsQl55JWfSc6g1W/hm73Gyi8upNVnQazXc3a8zT/64CUmWScor5p07R9ab357zyVzMzEdR4IGFq9n7xoPc1qEZb907EpNFYnCnxiO/t/drS/Mmvrg4ORDo7ca4pxexdu958kuqGN27Lm20otrA9+uOYTRbbPdBqxHo0Lph6qYdFbsIsmPHjh07fws+/mUfa/eeQxAEVr11D35eN+4t81veenA0P249wcQBHTCbJTQOdXUXgiAQEezT6H6FZVWcuJxJzzbheLk58fOuWGRFwSwp+Li7EBHoTVp+CS1C/Dh+OYOvNx3l9p5tmDbw5sVFfmklLo56XJ0c6NUqnC+2HQWDiQsZeYzp2hpnBz2L5jX+xDatoMQmgBx0GnzdXQDo1SKc+NwinPQ6csoqkWQZBTidls1Di9fb+pq89eteIvy8+XzmWJr4eF53nuez8vhw20GOJWciCODm6Mjqh+5k3emLNgHkqtdhkWU6NQ3hgUG9Gj1Oea2BNScv2NLRvKxpYwt+2cL2uESM1ojdsPYtmNUnhvNZeVQbjORXVGG2yKw9Ecf5zDwW7T1xxdEZFIgO9qWy1oibkwPLH7uTIwnpeLs68+SSXzFLMs46HRN7tKN/6wgAKg1GmwACiMvMZ/+lVERBoHd0U1ua2J39O7Fkzylu79b6hgXnz0y6jTdW7MbXw4WUQvV7se5YHAcvpqIAa45cYNGO41TWGjkSn46oBckCIX51dtE9WzVl4/GLCKJAm7CA657vjyAritps1iJRZTDe9H6+7i4Mbx+NRVbILC5jRp/OAMRm5vL9kVP1Ii01JjODWjbHx8UZURR5fcseihXF2pNH4bWte1h+Ru3bdCA1nSOpGbw9dvg1z90yoC59SxRBsYqaSN9rG4mMaNOCZSfP2uy/r8zPzUHPmawcyowGdDoNWVVVje4vCgKuDg0fbnRoEsSKeaoAzi+vUuciQsemQcwb2IOPth6kZ/OmNPHxsB1H34gBS+dmIVx5RlNeY7AZgPRv3+ya13SF1hFqndVnqw5QVFEDClxOy+eth8YwrHdLth1Sa+O+WnWIAC9XNFoBURCYOb4HMyd0JyOnBElWiAht/N+//6/YLbLt2LFjx87fgvnvrOLkxQz0ei1fPTvZ9h9/rdHM3DdXkJ5bwhvzRtG7Q8N0pmXbTnEpNY8RPVtx/GIG245dprhCXfj+/PLdBPl68PHK/Tjptcyf2KdeJEhRFIY++TXVRhPB3u6senUmo55dRG6x+vRZpxX58olJvLFsB8m5ag8YBHWNdfCjh3By0CFb07nEa/QCWn80jtdW7EKv1bBqwd0UVlQz5/NVWGSZkTEteXX6sOvem/icQhZuO0LH8CACPd3p0zIcNycH8ssqmfXlKmRF5p3pI/lg8wFkReG1yUMZ+e4P9Q8igKNOwxMj+jK9Z8d6NSKHEtI5k57NgFaRzPhmpU1wXSHK35vciiqqDCYEQeDMyw/Z6kOuxYOL13E4KR1BEPBydiS/ohpPJwfKa4y2NeqVv7WigICgOm5Z1yVPjezDe5sO2mywBazF9yK4OOjY8MTMevbLhRVVKAq2FLir+ceSTWyLTcDb1Yl5I3rxzvp9SLJCn5ZNeXHSIPzcb01w1xhN/HrqEu+u34eAwL0Du7Jo13GbsFs4Zxw7zyax/mgcHSKCcNRqScgp4s2ZI+jSPBRREBAEgYLyKhx12r/cPv1MajZbYxOY0L0t0cE3Tk+rNppYsHYblUYjb48fXs/E4sv9x/h492GuLlN5a/xQxnWqi0pklZaz8dxlWgf5kVlRwZGUdHbEp9QJJwEuP/voNX9fAPYnppJaUsb3J06SU1GFRhDYMPtuovyuvZC/mJvPtCUrsCgy4V5evDlmKO2CAvj51Dne3rFfra1RsBlENPP2YlSbaJz0WvpHRdLsOsdWFIX8iiqGf/A9ZkmidXAA4zu3JiGviPmDeuLn5sKxpAx2xyWz4qhaO/iviUMY26Uu6rX+WBxL95zi7ttiGNv95ntQXWHoo19Sav137YNHx9G3YyQ/bT7FJz/tg6vW8456LcG+Hix6dTrxKfk88cYaAF55bBR9u9y4qez/EnaLbDt27Nix87dnxsguJGcW0b9zM1qF1z0Zv5CcS1pOMQaThWVbTzUQQTuPx/PRL/sA2HYsvm6DdcE149Vl+Hi4UFBWhVajISLEh3F926EoCueScnB20lFlMGIyS5RaHZncnB3ILVFFkFmSefqrDZRUGuqOrYAsQK/HPrOdR7H+LYrw/NRBTOzd3jb8wMVUTBYJjSgQn13IgHbNeHHKYNIKSpgxoH7qW2NEB/vx5Jh+HIxPpWuzUNycVKepHReSyCurxCxJ3PPlSib3aM+CsQMY/+FS1U73N885DWaJ9zcfIMTLgwGt1PuYV17Jw0vXY5Fkdl9Mrtf/6MptFEWRj6aP5rv9p7ija9sbCiBQIxCKArIik291HSurMdrWwVempghgVhRQFDWFycq2c4l1E1Cs4607S7JMYn5xPRF0PSHzzoxRvDNDtXZeduCM6t4mSey9mEL8p0V4uDqyYOyABjVLjbHswBk+2HwQSZJAVl3t9sQl2ey+FeBYcib/mjqEx8f0xd3ZwSY4D8Wn0eW5T/F2dWblY3c2Ktj+CjpFhNAp4sbXdoWXN+1i52W1ieqTazbTMzKMOb26oNdqGduhNRvPXSa5sARFgCbe7tQqFiZ+9xPj2rdicsd2hHp5cH/frnR87zOMFgm9RsOdMR1YduZsw95O16BfVASu2Tl0KQjlQFI6/ZqF09z3+k1vWwcFsG72XRxLz2RodHO8XdQ0zeldOtAxJAi9RsOr2/aQXlLGnF5dmN6lw031j0osKGL6tyvU6I0o4CBq0WtE3tt6AJNFoqzGwEfTR9O9eRg/7Dtli5i+sW53PRE0tnubBuJHlhUWbT9GQVkVD4/pg4fLtQXx9KGd+HLtEfq0j6BPhwh2n0jgk5X7cHVzQItImVUgGUwWcorLOXEhnaLiahRFQZYVktOL2Lwnjv3Hk4hs4svSD2be8Nr/l/lDIkgQBG9gORAOpAGTFUUpbWScBJy3vsxQFOV26/sRwC+AD3AKuFtRFNNv97djx44dO//7PPKO+rRy3Z7zjOzViuzCcsoqDfTtHEmAtxtZBeVMGtihwX6VNddP8TFbZDWqI4AgyLg6OjDh+e/ILa7AbFEXKz4eLkRH+9E5ugn7zyYzfVBn3vl5D7KiYLBYKKkw1HuK3ehCzhrWkGV49edd9UTQ3OE9SC8oJcTHg54tmwIwonM0OSUVN1VftOnUJRb8tBUE+GDjAd6bOYoPNx3EaLagEQXMsupg9eOhMzw5qi9ZpeVIimrDfPRf8xny9iJKq2tt0641mUguKKaZvw8atTIbjShSUKUumLSiyMfTR+Pr7sLR5AzGdGyFRhB4b+oIPJ3rTCW+2HWUT3cfQQDu7tmBubf1xMtq7/325BGsOnGenNIKVp48jyQrdAkP4XRatm1/UVQtiG2CiLrIkFm6SoyJ8M4dI/hoxyFMZgvtw4Lo3DT4hvetMe7o2Y7sknJ+OhiLKArkllWQXV7Bq2t2s/aJu6+7b0JuEe9vVhe+KODv5kxYgBdJecX1rmHJgdM8MqI31WYTco1iuyc/HozFJMlU1Bg4nZrD4HZ/v6fyiqKw4cJl22cRm5XL2Zw8HHVa7uvZhSAPN36dP4On1m5hc3wCzk56Xtm6B0lROJ+bz/q4y6yaOQ1Jlm3C0CRJPDSgB8NaR/HNkRO0CQ4gv7qaILdrOzQWVlUzY/lqJEWmW2go795+7fS5q4nw8SLCp2HaXOsgtTZr8d23bhKw63IK1Ua1f9Td3TsR7edLucHAxZwCHLQaAq8Ss71aNGV/fBqgGmTciP1xKXy34wRmi4xGFHl28sBrjp01qjuzRnWnxmBi18lEftp6EtnqXvfW42OoqDBw6EwyO47GIwoCzcP86Nq2KRcScjCZLEwY1pER93wOQEpmEUWlVfj+jrTj/xX+aCRoAbBLUZS3BEFYYH39TCPjahVF6djI+28DHyqK8osgCF8C9wFfNDLOjh07duz8j7H18CUWrjjIgJhIlm8/W2/b/a+tAEHNr99xLJ6Vb91jsy/+LWP7tSMxs5C03BL8PV3YfzYVUYTy6jpxdGWvMT1bse3YZbIKypBldYOC2kNITld7AIHak8ZgNKuNV3/jNHWzT7KvplmgD23DAzmZlMXZtFy6RTVh7sLVxKbmEODpRvfoMP4xbkC9DvFXs3D7UdvPBovEQ99tsL12ddTjgAajRaJvy3B0Wg2fzridJQdOM6VHexz1WjY+MZP98anUGM1Iiszzq3ZgkWUssgwCTOzShpaBfqQXl7H65AUUICrQl1BvD9qFBrI/PpVHftqIRhBYNncqLYP8SCsqZeHeo7ZbsuTIWS7lF3Nfnxj2J6QR5OnOff26oCjQo3kYbo4O6kL6e9XRrXWwH4EebsRm5FJSVat+3hro2SyMx4b04q5FK1E04OfqzNan7sVJr2NUTEt+OHiKD7YdZNRHP+Dh7Eh+RRWf3nk7XSMaFoArikKNyYzLVbUeeq2Wf4wdwKjOLTmbnseXu45SZTTh7uLA0kOnmdajIwl5hSw5dIaRHaLpFx1h29fNSbVc14hq/ci4Hm354cApdbGvAyRACxZBoeu/PsNskXHQaugdHY7JInE4NR1FB64uDnRrfv2CdUVRo1U3E3X7M/ny0HE1qilAE28P8iqrsMgy+ZXVtjGCIFBiNCApCmmlpXg7O1NYXY0CXMjL5+Wdu7lcWMikDm1Zd+EiA5tH4OPsjE+4M58fO8r3Z07xw5nTTO/UgRmdOhHs3lAMyYqCgmJNkZQbbP93MrxNFD8djwVgWtcOvLttP4eT0xG0Av8cPYiR7etMLdo2CcRRr8UiyXRv3uQaR6zD190FRVHTboO9r28IU1JRg4erI49/so641DwEQTUHCQ/2oW1kEI4OOgZ2b8F9E3vhqNPi7anWDr700AjSc0sQBIhs4kNKZjEAc55fxtevTcfvFtoF/C/xh2qCBEGIBwYoipIrCEIQsFdRlAZtggVBqFIUxfU37wlAIRCoKIpFEISewL8URbl+YjT2miA7duzY+buTml3M4dhUBnZrQZBf4/+x95r5oc11rVGswiO6qT9LXlV7emTklqLTabiQnMuR82nMGt2NsMCGT33Lqmr5dMV+DpxNoayq1pYuLwrqOvUKDnoNRrOETqehWYgvyTnFyIqCk4MOk9mCKIroHUTKqhpGm64sFK/1nr+HC2N7tsVkkRjYoRlzPl+F0SwRHeLH8qfvpPMTH6npatbxId7u9G0dgaQozB3SvV6q1Dc7j/HJ1sN157nq/mg1AhZZoXN4MHf16cTgtlGNisUrrDh+jrc27sVwJe3NOrR1sD/L5k7hVFo2wV7uhFuL0I8mp/PAkvWYrGlNz40egEYUee3X3Q17+ohqaYIAOOq0fDxtDH1bhNs2VxtNjPtkKXkVlUyIacPGs5cxmi2IgoBO1CBoBWpM5qsuEkQg7rXHATiQkMpjv/xKjdGCXiMiImCUJAa1asaH00azNS6BAHdXuoaHoigKs39Yw9HkDO7o2o5/jR3c6P2oMhhZdiSWr/YeR1EUnhrRj0X7TpBfUYVOI3Lspfk4XlVDlpxfTGpBKf1bR3A2PZc5361RI0PWCKEgCqAo6vdMxFY/xlXr+PExrXl9Yt1y50RaFvOWrcffzYX37xjFw8s3kF9RjVmSmN2nC08O6QvAlovxbDofzwvDbyPQ469ZuI77dhkXcwvQazT8MmsKU5cuxyBLiAJcevpRNNY6nrXnLvL85h14OTmxYuZU1pyLY0diEv2jIvjh9GlqzRYEoe6yT89/EA8nJwZ98x2pZWXqvQGifLxZMXUqHo6OrLkYx49nz/Jg124Mad6cI+mZxObmMrldW3xc/nzb99/LuM+XEp9fhF6jYfvj99armQLYFHuZzOIy7u7TuZ4AvxaXMvMpqaylV6um10zPe3f5XlbsjSUyyAdjjYmswnI0okBogCfj+rajRagfJy5mMLZfWz5feYDdJ5Lo3SGCjs2DWbT2KBaLhJuTAyvev4cvlu1n46449A4aHr9nIGMHtW/0nP8LXK8m6I+KoDJFUTytPwtA6ZXXvxlnAWIBC/CWoijrBEHwBY4qitLcOqYJsEVRlIYNAn6DXQTZsWPHzt8XSZYZev/nGE0W/LxcWfvxnEbHDbz/M6prr50BHeTnToeoYOZN6Yuvhwvz3lzB2cQctYDe+n9Xi3B/lr5yV739Vu6KZc/JRKYPj+GpT9fXE1pXiweAhU9OpFV4IJkFpUQG+/Dmsl1sOXYZRVHoEt2EJ6cMYPKrS+tPzLp/u3A/qk0SHSJDmDWkC8cSMnjtl122YVpRBFEdPr5XW/ZcSKa0ysCsQTGE+3vx/E/bGgaVrD1D+rYK57PZ4+ptqjGaqDGamfjBUsqqDQzrEMWkHu156qfNlNfUWiMUIo+P7HNNS+zkgmLe2riXjOIyssoqVHFovR6dRmTjYzMJs7rHKYrC57uP8s3+45gltaDcy8WRrU/cy+u/7mFj7CUcdVqGt2uBi4Meo8XCypMXbCJIr9UQ7OVGekk5k2La8vLtqgi5kiaVXVrOlC9/RlFgVq/ONA/w4Zk1W5FkxXYMAL1GJPZfj6Ao0O5fH9s+e70oIgkygiTw2Z23cyYrl+8Pqz1ilt53B6U1Bh5Yug4U1SHs+IvzuRabz8bzwprtADw7egArj58nqaAYR52W/c/Ova5b3Jn0bOYtXk9FrZFIP2+qDEbMsky50YAFBUEADQKSRf3Zx9WZnx+YRoiXO7KicCYrh2/3n2RPfApOOi1DWkfx6/nLNoMIL2dHjjzzIPEFhdz+5Y/We6Lh/POPXHNOf4TDqRm8sGkHMU1CePv2YXT+6HOqrPbYUzu0ZVyb1jywbj0hHh609ffnl/PnGd4iis9vHwNAXmUlw75bjEWSqJUkVewosHraVDqFBHOpoJDbly2tq1cTwNPRkR0zZ9H966+QFQVXvZ5z8x/6S67vzyCpoJgv9h2lX1QEYzuqNT/VRhOiIOCkV90Q536/hgMJ6QDM6d+Fx4erQrbWZMZkkfC4RTOM4c98Q0FZFRpR5ItHx7P+QBz7YpOoNprVdFZAkRREQUCW1BxTQQAnjRaDSTU60QBTR8YwqEsUj7y2CidHHd++ficBvr+vJcF/A3/IGEEQhJ1AYCObnr/6haIoiiAI11JUTRVFyRYEIRLYLQjCeaD8Ruf+zTzuB+4HCAsLu5Vd7dixY8fOvxlZVpBkxdYEszFWvjOLn7acRqcV+WHjcdXZy8uZORN7ERHozYNvrGJrwWW2HrpcT7go1v9qtFoRX2u6xxWKyqr58Ke9WCSZpKwi3JwdKbOaHYiCwH1juvH1xmO28UazBTdnB1qHq//NTerfgR0nExEE6BwdSvMQXzSigCRbFxdXyZb5t/ehW6tw22s/T1f2X0glI7+UgooqtKKIwaJGOfzcXdn4wr0UVlQx6a2lGMyWeoJM7QCvGhnoNSJ+7vWvC8DZQY+zg56dL8zBYLbg5uRAjcnM/CE9KCivZvGBU0iyTFm1ocG+V3hx9Q5iM3JBAHcHPXqdllqTGUmW6RsdQahXnYVzcmEJ3x44oQog61wfGdwbN0cH5vbvxrHUDBx1Op4e3g9PZyckWSa3vIoDCWmEeLvz+OA+PLlqs/pZnzxvE0EaUcRZLxIV4Mvmx2ZRbTTh4aTnWFo28wb04NPdR9Q0ReutNiky7+88yMMDetoEEIBRUVP5pvdoT/+WkXy05xBGWY1M3btkNZUmM4IIDoLI/IE9rnlPAEa0b4EgqE06R7VvyfB2LTiYkEbnpiHXFEBnMnO4f9latBoNZYKJts0CWHbPFPQa1R55zekLvLZpDwpwX+8u5FdWsfrMBQqlWmYuW8Xiuyax7GQsP508i2L9fmk0IhM6t2bHpSSqLWZQoNhgIOq1D3lpaH/buevVS12HlOISnHQ6ghpJN7sWvSLC2P1QXa+cKR3b8e2J0ygo/HLhPJeLiigxGqgtNpNYUowiwJbERB78dT0BLm70Dw9n6eRJfHb8KDtTkrnyJW/i5QlAK38/HHU6qq/qO2SwWMivqiLCy4vsigpa+d16g9V/J839fXj/jlG211O/+YXYTPX3asXsabQJ8bcJIIBv9p3k8eF9ySopZ9KHP2K0SHx492g6hAXxyqqduDrqeX7ioHoRx9/y6IQ+fLT6AAM6NicmugldWobx9MIN7D6TDKgRbo2IKoCsEel2kUFEBPqwcf8FdFoRSVJYvfMsHaJC2PnDwwA3ZQzxv8oNRZCiKI3HjwFBEPIFQQi6Kh2u4BrHyLb+nSIIwl6gE7Aa8BQEQasoigUIBbIb29+679fA16BGgm40bzt27Nj5/0ytwcSarWc4cDKJ3PwKRg1sx/3T+vxbzq0RRb58aQoHTicztGddrrwky2TllRHi74FWq8HH05WHp6kd6h+4o/7cdh6NxyJdJaCurstRQKcTuWdsD+4cHsM/v9rCrhMJzBnXkylDO+Hm7ECN0Ux5VS0y4OKko9pgBhT2x6YwdVAndpyMR5YVtJr6/TzaRQbx+WMTKK6o5rZOatH6wY8eYu/ZJHq0Cue2p+vKVq8WQKDa0n7ywFh1itbF+pnkbIoraxjUQU1Ru5CWW99+2npNMc1CGNopGp1GxNVRz8C21y6Y12k1GC0Wvtl1jP2X07iYrTZgbBcWSKCHK/cO6GKbw864JMprDIyLaYNWI9LM31tdrAEVRhOYTHQKC+aLGWN5ce0Opn39C+/cMYKmPp74ubnYFmV9opoyf2BPWlqLy89m5VJmMCLV1PLj0VgeGtgTjSjy9Yzxtv4nFouMg1aL0WIh0q9xV69ADzdOpGUx6osltvf6RYdzICFNNZkQ1Y9+0eGTTOzUhtfHDWXp0TN4ODtwND0LAIN1MR1fWGxLSas0m1UhJUC/6Ahm9r6+A58gCIxoX5fN7+boUO/1FT7Zd5i15y7x+IBeHEnOoNJostWVnc3J5/3dB3l2iCpWxndqg6ezEzqNhr5R4cxfsQFJAygK2WUV/HrhMnG5BdSaLWhFEUUPNYKZC/kFHH92Hm3f+kSNBlk12A8nz9ClSRBxeYU8M7jfda9n9YU43tm7n+Ja9QHAx6NH4eHsSOfgYJx1unpjl59X7ZyntGtPpdFIYU0NEZ6etsVxdIAfrk46Kk0mFAHiivJBBLMgE+bhSUpZKQoKW5OSEBD4Je48kiKpEdir1tcnc7IZ3jyKhOIi2gYFkFpcShs/f0oMtXQNCaGVnx/rp99JfFEhrf38+TMpqKrCy8mJlNJSHtqwEX9XV74eNxYX/c03Pb5CtcnEh7sPEe7jxZ1dOlBea7QJIBR4YNk6fpg1sZ6Biou1V9bZ9FwssoxZktgdl8TZ1Bz2xKWg1Yh0jghhfPdrJ0ON6N6KEd1b1XvvrQdG023ux7bXbZoFcSFR/f1GganDOjOkWzRP3n0bq3aeYdFatYbP2Un//1r8XOGPVtttAGYCb1n/Xv/bAYIgeAE1iqIYrSlwvYF3rJGjPcAkVIe4Rve3Y8eOHTu3zqeL97Fh51nb0/TFq4/Sqnkgfbv+9W5UGTklLN94iq7tmhIWVLf4ffrtdZy6kEHzpn58+8ad1z1Gv5hmaDUC5is5M1f9f+3ooOWbl6bRIsyPqhojW49cQlHgqzWHua1LFMvfmMXltHye/HgdZouM2aymcslAfEYhiZlFIIIkK7yxZCcb35ld79ydoupbCTvotQzrqoq50188fk2Dhqu5ssDo/Jvi964t6gqlQ73d+eC+MSTlFTOyc/R1e6b8lrc37GPj6UvIstqMUgHOpOWg04g8NqIPTnodBxPSWLB8KwpQUl3L/bd1Y+5t3cksKed0ejYWa5rg+aw8fjh0mgOJaRjNFr7ed4zXJwzDw8mRzY/dQ2ZpOW2DA+pdc4A1sqARRYI960cZrly7Vity/LkHSSsupUXAtZ/sr4mNq/e6X4twwn28MJjNrIhVTRoU4J5la6gxmzj+1DxmLF5pTR2EyTHtABjQIoI98Sn8NvY46qqi9T9CldHI5weOoQALNm7n9VGD2RKXgISM0SrY1527aBNBgiAwsGVdI8y5fbpxNjuP4uoa9FoNfZo1ZUjL5ryxfR+KIrMvS40cvLXvABcKCugXFc6exFTb/s56PcvumXrDeV4uLODp7dsQrir5enb7dmRBIcLLiyf79qFzUDBmSWLoksWUWoVSfFEx6+MvUWM280DXbjzaoycppaU8v2uH2v/I+vFbrLmKrg4O5FRVoggKAgIKChoBNIKA6SoB5O3oRLGhhge3bGBUsyiyKys5U5CHo0bDc/370cy7rjePs05Hp6Df5/p3Ld46sJ/vTp8m1N2djgGBpJSWkltZyd7UVEZFNxS6N2La98uJLygCwGSxcHfXTjjqNBis9XEltbW4OOgJ8/Eko7iMIHcXFt8/BYD+rSJoExpAcVUNM/vFkJhThM4aaYwI8CY2LYcHv16Ll4sTSx+Zis8N3OU0osj4vm1YeyAOZwcdCdlFCBoBRVJwd3WkT3vV1MPJUcf0kV0I8HHH3dWRrm3sGVXwx0XQW8AKQRDuA9KByQCCIHQBHlAUZTbQCvhKEAQZ9XnGW4qiXLTu/wzwiyAIrwFngG//4Hzs2LFjxw6g0TRcpKdnFnPoSCJjhnWgTfSfu9C4mpc/2Ux8cj57jiTQqU0TAq3GCGcvZWG2SFxOycMiydets9DrtGxZ+CAfLduHh6sD6/deoMpaP9Q00IsWYeqi2sVJT6foUE5fzsIiybz27Xa+fn4KPdqFIwoiIGMyS4QGeFJrNFFtMOHt7oxFlimrMtCpxc33TrnCjQTQ9fB1d+XQ2/PIKiqnZaj6tPvK37eCXqtRra1FQBBw1GqtERG1Cacsy+yKS7Klj0mSjEWSuePzZZTX1jd5sMgy60/HqeYEWg09I8PILCnD28UZLxcnm73zFWpNZhbuP4aTXse8/t0Z3+naTR/1Wu11BRDAE4P6sPH8ZSyyTKSPF+M7tqHSYOKLQ8dwdXKg0qA2V82pUG3OW7z2IYOiItHrNQgIBHm4cyQ1gwsF+UQEehMTHMyqMxfQazVM7NiG4a1b3PL9bQxnvR5RVE0ozIrM8zt2MbZTS+Z0i2HUV0uRFIWpna9dYN4+OJCDj9+P0aJGAh2srm+Lpo9nwNeLbLUziqKw8VI8jg4aZvboyKYLCYBClWCizaefcH+XLjzasxcmi4Vei76hpLaWia1a8+5w1UL63nXr1OiUCKIMbno9VZIJGbhUUsT8TRsJdHVjbpeulBlqbfO7VFRIrcWCQbKw+OwZBkdG4ufigigIiKL6nXLQa1jQuz+HMzM4kJ1GraJei2INeUT6ePPpsNGsj7/E8rjz3NOpM6svXqDIpAqlX1MSrLmfYFYkpq1fgVbU0Ds0jPb+gZQaDMzpGIPTb6JVNyKrooL86ko6BwY3iHBsS0rCIsvkVFYyu1MMWxIS0YgiHQIbq/QAo8VCYnEx0b6+6KyR4vUXLlFQXc2sLp0oqzVYrxne2nmAXQnJHFswj9c372FtbByDW0VxKa+AtPIy0MKC2wcQ6q2mmbo6OrD4wcm2czUL8CEiwBtHnZamfl688PM2qgwmLJLMkYR0Rse0+u30GvDCjKG8MGMoB86lsODrTQhakSmDO/DklAH1xmlEsV5k3s4fNEb4T2E3RrBjx46d62M0mlm/8yz7jiaRU1DO2CHtWLb8GEaTBVcXBzb/9NcUVQM8//4Gjp5JRRAE1iycg7ubuojevC+OxWuPMWFoB6aMvHGD0N+y62g8qbkl3Du2e72oSXF5NeOf+hYEgaHdo3nhvqEAvL1kF6t3n2VATHPeefh2LBaJS+n5RAb7IooC2YVltp//2zCaLaw7GceiPSfILatU65UUhTGdWvHmtOHc/eVyTqflADC9ZwceH94Ho9nCgLe/qavxgXoRtkg/L2rMZka2i2bp0VicHXRsfmRWAxG0LyGVx1b8Sq3Zwm3RkXwxfewfvp4ak5m0klKi/X3RiCKzf1nLwZR0tIJIhJcn8UXF9VIiBQ0Eubnx6fjR6HVaxn7/I5KkoBEEXhgygLu6dLzu+SqNRr4+fpLOIUHcFhl5zXEGs5k1cRc5k5uDu6MT3jpHFh48hgkZWVTwdnbi4ANz0Gs0SNb+Sr+Hvl9+Q25lJQqgF0QUQBYVmnh7EO3nS3JxKYnFxbbxpx54kPcOH+Tnc+cAAY0gkPiY6qA3+selXCwsBOCrMbczpHlztiUm8tO5cxzLzVTrpkR4s/9g3tx/gEqTiSbu7qyeOo23D+5nVYL6nFqnEUmY9ziJxcXsTU1ld3oynQKDebpXHz48fphPT6ipVQ4aDQ4aLRVGI3qdhtUTp9HWT212nFFexuCfv1Obh1ot6W0hpas+UL1Go2aPKTC7Ywz/6Nn3pu9dZnk5w35aDCg8ENONR7r1rLd9Z3ISL+/ZQ7/wCF4bNIhygwEHrRYnnY7X9u5l2dmz3NWhA88PGICiKPT+4msKqqvxdXbmyLy5LDt9lpd37AGgd3gY93XtzAe7DxGXp95jBNj24EwifOqi3j3f/pLSGlVgXjG2uEJZjYFHl23kUnY+NUYzXSJC6RbRBAedhvahgcz7Zh0ezo788vh0fBupDbwWiqKwYk8sheXV3DOi2031H/v/wB8yRrBjx44dO/99ODjomDyqC5NH1dWHbNx8lopKAx7uTjfY+4/x0sMjOXImlahwP5sAAhjZvw0j+187anAjBvVoPHXFx8OFX96YSXpuCV3bNLW9/8yMQTwxfYDa6wfQajW0a1YXAWse+tcXX687coGvth5lQs92TOnXgbdW7cHV0YGOkUF8sOEAfVtH8NKUwbecn++g0zKlZweMZgvvbjpgi/jsjEviTSC9qMw2NsjTldEfLqaostr2xP63hHi5k1Kk9jpffuIcJklCNAukFZc2EEFtgwNw1uswSzKj2/3xJ8uSLDNm0VIKq6rpG9mUzyfdjr+rCw5ajZrmOG0cpZU1jP/hZ/XaNSIGZPKqqwnwcOVMdi5aQUQS1JStKH8fXti+gzYBAUzr0J6Smlq2JibQNTSUKB819WrMkh/JLFf9mX6cPIme1zBcenn3HtZcvIhFltGKIvN7dCduwaM8v20Hy+POU2kx8sa+fbw8aBBaQaC0thYXvd5mjnCzfDdpApN++Ylqixmtg8j8zj04kJHG6YIcUipK6/m6iwiklpeyJSne+o5Cy6uMBAI8XYkrLqBLcAhDmjfHYLHg5Kjjw5EjWHnxAm8dOQDA0rhznH5wHpKi2Ob7cI+erEpURdCV71SUjw9RPj7M6VK3jhwW0ZzPThxFAaa1aQ+CwC8XzyEIAj/FnSWlooSHOvdg7rb1mFANLNRI11WFMta5g4CDRotJsiApMucL82x1ZTdDdmUFoDY1vljYsDR9cLPmDG6mpgFvS0riUGY6MUFB7EpJYVN8Aiiw+MwZnh8wAElRKKhW+yEV1dRQUlNLYlGd+DyUlsGh1Aw8HB1UwxTrPfrh2Gnu79WNEE816t0rMoxNF9TPp0dEEz7edZhz2bk8fFsvzmfmEZuRg9kiIwAnUrKITc3BosiEenswqltLercIvyUBBGr65ZSBjbtC2mkcuwiyY8eOnf8HCILA1+/fzamzGXTrFP6XnstBr2VA96hb3i8rrxSLRSY81OfGg4GN+y7wwZI9RIb68M0/pxHs59FgzBUB9J/i3TX7qDaYWLjpMNVGE9tOJ6DRiGyPTaC0upaNxy9y/9DuBF3VJPFEYhbnM3IJ9XXnH0s24+7swP5X5zV6/Bn9YvBxc2HBz1tQwFaf88H0UTzx0yaa+nrSNjSI8ppjqvU0NOhtJAoCM3t15o3NewHo0zycHZcSMZgt3PXtcuJefrzeeB9XZ/Y+OQejRcL1Jnqg3Igak5nsinIkBQ6lpXMyKxsnJx2P9O9Fr6ZNCPZwJ9jDnYQX1HmsOX+Rt3fvp2tYKHtSUhncvBmTO7Ylu7ySF4b055U9e9mbkor+4iXaBQbw4s5dxBcWohFFjj/4AMezsyioqrKdP6ei8tpzM5ttYkAjCAS5qvd3cvu2rIu/hEWWqbEaMyw9F8srB/bg7eTE9umz+D/2zjo8inPtw/fMatydkITg7u5OCwXq0FLa0pa6u57aqZ+6l7YUSktLoTjF3V1D3N1tbWbe748JG1JCqXDsO3tfFxfZ3Xfekd1N3t88z/N7Aqy/3wK5TWgIAb5W6mpcuptc7170aRnDjCWLABAGQBNgAFUSXL54AWh6RAwBd/XX3e80IdiQlQ5GOFJWCMCta5awvzAfb5OJKa0bRWvbkBAMsszZ35CWAYE8NWgYK1JO8+gA3axkdfppHty8io4hEXwxbgrJFWV0DYvk+Ox7cSgKQV5e2BQXflYTx0oKWXBaN1o4sGqxu6eQ0SDz45RpPLJxNanl5W73MknAgsuuomt4JHeuXca2nCz2FeWyJSeT4S0TqHE6mHf8EIlBIYxLaP53St+YFszs2oPk8jKeHjLc/byqaUiShNwgpnblZHPv6hW4NI35R47oukyWUFXB5Z30mzNCCGL8/cirriHG358gby8eGjqIowWFHCtsFFhVdgdWs4FOIWGcKChi4aHjbE/Pxu50IUkS82+4ikld23EgO5+s8io+3qo7Uh7NK+KrGZe7U3XPfB9dDc1gc8qqyCmr4se9x3nysuHntbr3cHHwiCAPHjx4+B8hJMiXscM7/rsPo1kOnczlwb//hBCCFx+YyJDev23gIITgH99swuZwcSKtkDU7TnLJkD8fZfozHEzJJTm3hIn9O+LrZWl2zID2cWw+lkb7FuEkRoVgNOipTv3btWTt4WRiQwMJDWi845uUW8Ssj34EGnsaVdQ5uO6dBXx7//Rm9+FvNWMxGlE0lTtG64vh3q1a8PP9M7hv/nLWHU+hU0wEBzKbN2CdPbwP1w/sQbi/L5tOp7EzPVsPPEj6uvvb3Qe5rn9P9/gF+46wMTmN+0cMonO0nvbkVFVu//5ndmfmIIA3p0zg0k7nRu7yq6uZ8e0ibC6Fz66aTOeoCPysFnytFqrsDuyayg0Lf8KpqoT6ePPOrp0EWa0snjGdUB/9Ol3epSPj27eh/8efsDE7nR+PH2fR9GnufUT6+mIxGBCAv8VCvdOJU1UxA4cLC7hj5XIUWcPPaGZofDxTOp6/7mJSp3YUOmroHhbNkJZxDIrTI0bdoqJ4dexY0srLmdVLT+1cnqLXNdU4HCSXl9InusV55z2DEIIXd21iY1YGt/fpS2ldPaMTEjEZDPSKimHFtBmMnf8VCugrtrMFrKzX/ZhkmZMVRdzx+c8EWbxoFxZESlUFN3TsDkBaZTk2xYVLU0kIDMZilhsjOM1wS4/e3NKjMerz8ZG92BSFE6VFTFoyjzJ7PW2DQlk6ZYbbae6ZHetYmX4ah6JyJrojEAyMjiWtsoL3Rl9Kt/AoBraII7WqHIAYPz8+HzeVjqF6TVzvqBj2FuYiBIR56+/1c9s3sDw1CYMks2jqNDqHRqAJwcHCfGL9A4jw8UWWJB4b1NQt73BRAdOX/IjFYGDp1dfRMiAQRdMaBK0uagW6QNpy6y1E+foye9lSNqWnIzQ9YJVfW01qWRltQ0P5ZtqV9Hj7I/f1F0I3hpg340r6/+NTXKpKYXUNiqohSxJrk1KocTj5bNd+d9afhJ5i2LlFJBsfu4W3Vm1h8aFTeh2YBLJoGiObu/Ug3eOi6dQi4oKfIw9/Do8I8uDBgwcP/3bSsktwuhQ9/WnB9t8UQT+uPcTb8zZhtTQWTyfEhDYZk5lfzuYDqYzo3Zq4qObtmf8KeaVV3PXeEoQQ7E/O5c3Zk5od98bNl1JQUUN4gC9Gg0x8QxF0m+hQHrl8OAHe1iYGEWsOnW52nrIaW7PPF1XV8sC8lQghGNw2gfHdG4XHxLe+psrm4GBmPo9eOpSBbeLYeCqN24f3IzrYj9dWbSUm0J/bR/Qnq6ySjzbv5nRR6TmRotEdGt+LoupaXv5lE4omOJJfyHtXTkSSJCxGA/uy8tzRpi/3HDhHBB3LL+TGhYuptuvGDK9u3Mr8666iuLaWKocDgUDRwMskYcGAU1GxuVwIIdiZlc1lDWJFCEFaeRmuBqvhakdTo4dnR45gYMuWtAwMIMrPj8+mTmHBkSOMaNXKfa0lWeKyzh14YcQoapwO1memEesXwLPbNyABX15yOQZJ4q61y3FpGk5UnhjadKE9MrEVQ+Lj8LPoAvih/oN5cO0qOoaF0z0iqtn369fk1lYz78QRnJrCk7vW4mMyc0nbRiOHVkHBrJp+Az+cPI5DczHvxBEA+kTG4Gu24GM2M6tbb65ftVB3AXTYqHbZEZKgzKWndb0/ehLvHdjF5NbtubxdJzqEhONtMtEh5Pelg97YqScPb1lNfEAQyRWlaAhOlhdz6/rF3Nt9IF1CIymqq8OhqJgMMi39A3FpGu+O0oXP2Tw/eCQt/QMorKvh9h59CfVqvAFwV8/+dAoNJ9zHl04NwsgkG9xpcQZJf+9e3LmJ708dxSDJbJ4+q8kcZ1iVmoxNcaEJjS3Zmczo0p3BLeO4smMnfjx5XI/BCIFLqKiayq1Lf2ZjZoYeXWsQLbIkkVtVTdvQUHzNZsJ8vSmprcffakFogtL6enq9/REmg0ykry/5ldW63pFgVNtEXly96Zzj6hCl/54K8vHi2gHdWXz4lPv75mO1YKt3cKZkr6C6hhs+/YHtz9zubsB6NkIItiVl4m020TvxwoLbw7l4RJAHDx48/A8x57NNbNt6mtvuGMnAQRfHNetiMHpQO/4xZyMAhSXVvzl24ZqDaJrA4XBx7/Rh9OzYgvbxEQghOJ5aQHiwH7e99D019Q6+W3OAXz684zfnO0NxZS3peaV0SojE7wLd3NUGa2pV03Ap529cKUkS0WelunWJa3Skas7+9qddx5s+0dD1/bGpw5ud3+FSEELgUjVsZzWfhKYNNbckZVBZb+Ou0QMY2SmRXWnZHM7O53BWPiM6JPLljv26ADqLmQN6cMOAHkQENB6/r9XsTg+rtju4ZcEShNA4q/MRsiRxc7+mxhdLT5zioRVrGi6Kfl7DEuMB8LdY9aiG0F3G6jQXk9q2Y0rHDjywYhVBXl4Mimus9Xpl+1bmHT2ExWJkaHQc9w8Y2GRfJoOBNmEhTFm0AFVoLJx6DU8Ma2w0+saYceRUVzGja3cAblm9hCPFhWhCuFOoliSf5Or2ndEkgTAI6lQnDlXhhtWLSKoo4am+w/nb7o04VYXrO3bn+vbd6REZxfYbb+XjY3uYtuZ7nuo7ghCrNz+nn2BETCJdQs91Iwvz8iHSx5fcuio0BE5VZVtuJq0D9ZTQF/du4MuT+wm1elPpcCB7CyQJhFXw1SVXUGGz4W82MzoukaVpSbqTmyRhkA30CNfr33pFRjP30ivc++wV+cecIS9v24kpbToiSxIr0pOYc2w/R8oLWZudyumKUrZedRsWk4wmCQKsFiKDfHhnyKWEePmeM5ckSdzSrdkadWRJYmRcYpPn/jZoJJ1Cw0kICHKLtuMlRdgUBYtsoKiujlAvHxRNQ9FUrEZdLFzRvhNLkk7ibTIxJiHRve9ru3RlafIp7IriFh9jv/nabXGOBFd26kRuVRVdIiMZlhDPiqQkXtq8meGtE3h4yBBMskSvdz8B0AWyplFXU43cUPfUISqMxLAQXpw0huu//oF6l4tqmwODLPH0JaPc59YxOoJBbeLYmZKFAK7p04Wr+nThvu9XE/twUAAAqn5JREFUkFdWRb3d6R5bZbOTWVJB5xYR7hTDRbuP8fqyLQC8e9NlDGzb+B3x8PvwuMN58ODBw/8Ip5PyuWv21wAYDDK/bHz8os7/09ID1NucXHd1PxavOMSqdce4afoghgw4N5c/PauErxbuJD42lJlXD8BokJnzw06WbzjGTVcOIMjfi4++3cb4oR258cr+Tbb9ecMR3vpmE93bxfDO41e4FwX/+GYjP64/gixLeHmZqLM58fex/i4RtHLnSZ6boy/SwwJ9WPHGre55z8eO4xmcyi7myqFdCfQ912xCUVW2HE2na0IUYYHnLgjPIITgqw37yCiqoNJmY8uJxt4wL183jo4tImgVEXzeQvF1R1M4lJXPjUN7ER7QuJ/TBcXc8dXP+FotpJXoKUiyJHH05ft47ud1LNqv9+cxGWWcqoYs6QZeSPDK1HFM6dGRA1m5uDSN/gmNxgETP/mGlBK9WNwgSShnkngEBHpb2PvQufVLV3zzHUcKCt0C6K4BfXlg6CD3653efQ+b2rSJ7Im77sarmWaWl3w7l6SyUj29yGSgTXAIy6+Z0WTMnCMHeHXnVhRN457e/Xmw36Bz5jnD6O+/JLWyHKMkY5BkJAl+mHwtXcMjaf/129gUBZMs8+2Eq5m5ZhE2VaFVQBD5tTU4hAuDrAsPl1Bp4etPbl01CGjjH4pTKOTUVGExGjk87V4shqb3nrflZ/DIzpVEeflTVGOjTrFTqdUjSXBTu94sSTtJpcPemBuJ3n/HKMnEBQaQVl2OBBy+5j6q7Q78LVbqFReVdhsdQi5uw9Ez2BWFfgs/wqGq9I1owTfjrqLN3LdwaY3vn4/JxKbLb+NgST6Do+PwNVnYWZDFzF9+xCU0uodG8fOkGb+xl/Pt28XQ776gpL6O7uFRLJ4ynZL6Osb98DXVTgczOnXnnl4DCPE6f3+dtPIyTpYUsyU7ky5hkby2fSt2RUWWJB4dNJjbevdpMr792+/g0nSRdGuvXuzMzialqLypyyLgJRuRJZjesxuPjfrtZrZnI4TA5lLwNpvo+cIH2Jx6o9+RbRO4Y0R/EsNDGPTix9gVFS+zkT3P3oXRIDPx9a/IKKnEKEs8dtlwpg/q/vsv5P8QHnc4Dx48ePCA2dz4K9/b++Lap37z3U7mzNsOQE5+Oeu26I08n311KZIk8dBdYxk9rAMIgcVi4t5nFlJVY4ddKQDMmjaIWVcPZNbV+l39QVe9BcDnC3cwbmgHosIbTQ+mjOrGlFHdWL75GLc8s4CZU/oxvE8b1u4+jSYEmiq4bnwvJFlmRENanUtReeaTVaTnlfHC7Am0j2+aZ79hf7L757KqepwuFS/Lb4ugQZ0TGNQ54byvX/niPLKKK5AlifWvzSaoGaHkdCnMePt7kvJKkCSJ8T3a8uCkIWw4mkrbqBDS8stYfSCJHUlZ3D6uP3eMH3DOHGO6tmFM13OFZruocDY+eRuXvPWV+zlvsxFJksgp16NtAnT7YnA3Ge0UHcGUHh2Zu/sgr6zR7zTPHtqXB0bqQuK7G6/muVUbiQsORFE1vjtwhGqnEyToHtMYZciurOTbQ0cYkhDPrf16c+/SlWgIrCYj1/fs3uRYm7jWSfrjw4UF9G0Ryz/27GB/QT7PDR1Bx9Bwnhs2ktkrl1LpsKMqCinlZfyaSxLbMv/YYVyaxtR2v10H98m4ycw5eoDR8Yn0jWqBhIRvg/hq6RdIdk0lYV4+dAwJJ8zbh7zaam7p3JulaUkcLsvDpam6S5iELoAazqFNUCinKor16Awg/TrPEJi9ZTH1iotCWy1Xt+rMD+nH3A7SX53eTxv/UOpcTlRNd0tr4RNApcvG3V0G8PKhTe73cF12Kle21pvGnq4q5uvTe3mm5xiifM41C/mrWI1G1k29mYPF+WTWlrEm6zT3dR/IB0d2Ylf1CItDVZmw7CvqFRftAkP5eeIN3LR2kdsA4HBpgXu+U+XF7MjPYlKr9kR4+51vtwAU19dRabcjgEqHHUmS2JSdQYVD793z9fFDzD9xhG3X3eo2sfg1icEhJAaHMKldBzQhSC0vY3deLpX2etZmpDKtS1d3iiOAv9VKWX09AHMOHEATukNhr+hI9ucUuN/XOddM5WRxMYFeVhyK4u4DdSEkSaLKZqeoprah1xcgILuyipyKakL9fLArKkhgcyoczMpj1cGTZJRVgqw3r/162wGPCPoTeESQBw8ePPyPkNAqnBf+fiU7tydTXVrHO6+u4M4HxmO26H8KhBBUVtbj7++F4TcamTZHQVGV++fSklpaRAeRX1iFqmpomsb8H3bx3ucb0DTBOy9dg8nU+OenzuZsbsrfRFFUXv18HZoQvPTJGob3aUPfLnGs230aIQQb9qZw/3XDiIsKprrOzqrtJ9lxNB2HU+WTxTt458HLm8x3y2X9OZKSR63dyayJ/fCy/LFmjc2RV6ZfE00Ilu44zo3j+pwz5nh2IelF5e60t51JWaw9nMykPh1YdFZqnJDg++1HmhVBF6JbbBR55dUIBHNn640aZw3tzbHcQuqcTVPokOBkQREAPxw45n56V1qWWwT5Wa384/JL3K89NGowz6/eSIiPlbuHNqam3blkOadLSpl38Ag777yN5EfvJ6+qGn+rpcki8+N9e7ALtbHoHIFBlpi5fDG9omI4XFyAXVF4dssGFl0xjTBfH+pwggmQBJ0iw9lXmEufyMa6iChfPzZdP+t3XZ/WQSG8Mmys+7FLU8msKaelbxCLJk1nX2EuvSNi8DNb2HL1rbg0FYvByHUdupNVXcHXpw6iaCqL04/T0jeQpMoS2geF8c6QSyl11LMi4xRDohNwCRUzTd0Kgy1e1Cv6e3Cq8lx75zxbFX6+Mh39o5jRrhd37fgJIcEHSdvoFx7LnuIcTLLMZQm60Cuz13HthvkArMlNRpLg/YFTuKTlxTVECff2ZXdxFguSDyMQPN5rOEk3PMQ1qxZwurKYNwZfwp2bl+LSNPIbhKG3yYzDode2GRqUnl1xccXKb3FpKj+kHGPt1Jt/c7+xfgFc36kbm7IzeH6QnloW4eNzJkYGgCI0NmWnM71jt2bn0IRgafIpfEwmxiS05sWRo3lo7WqWJJ2k3uVia1Yml7ZtrGdbf9ONfHXwIMMTErhn+UqKamtxCcGhwkK8rUbqnQoI3X3u8z0HANidncuL40a5m63+FicKipj+1Q8IBJN7dmDtsVTsqkJqSTmPLFrFoWfvITrIj/yKGowGmU7RETyxcHXjBBJU/6oBsoffh0cEefDgwcP/EAMHtSXpaC4blutpYzWVNm65ZzRRMUG89+ZqVi8/TEJiOB/OmfWHmojed/socvMrsDtcPPv4JLysJjJyynj/sw2cTimiQ7toNu88japq7D6QzmevX8fH32whwN+bW6efm6r094cn89G3Wxg/pGOTKNAZDAaZuOhg8kuqaJegR3WevW08/bvG89Lna0nJLuHlL9by/as3cu3jX1Nrc6JpApPRwNDuiefM17ZFKNV1+kLi86W7uW3ywHPG/FF6t27B7qRsAOZvOtisCGobHUaonw+FFdWM7JrIthMZqJrQU+LOCo4YjTI3DP/jDWYBXrxiLBO7dyAhPIjohj4mg9vEs/+5u5n26Xccyy1EPWtfE7u0Z+H+o1TVN5ox3HCWO1xzPDdh5DnP+Tb0y5FlGYOsN3MN8/U5p4fOwhPH9RQvWWbtjJnk1FRxw9KfUDXB4aICfbwRejSYDUT7+hPp7UdOXRVIcKAkjxmrfuSLcVMZHBN/wesx7/RBXjqwkYGRLZkz4iq3hTLoNwJGLfuEXFsVcT5BbJx0O6NaNn5eZElqktIW5x/Ec/30xfiLA3QhpWqaO5VSdkK2o4R79+wjq7aSmW368lT3sWhCsL0ojQ+HTWZLXib9I2LpGBRJlx/fQgjwN1po6R9IVl0ZVS4He8oyCMo1IxlVhCpTpzj5fuz0c1IkM6vLaWxCqr+pzx1Ye9FFEOiRLVVoqELw2sHN9AiNZuEljQ6GH4+YyuLU49zauS8Av0y5iTcObsXPaOGRnkOwqwrfJR/FoSpoQuDUlPPtqnGfksSzA0fy7FlfzyEt4rmyXSe252ZRUl+Hj8nC2owUTLKBq9p3do/Lqa4it6aKpNJSXt+1DQl4d9yltPQPZFBsS1YkJ2E2GOgaEcHQTz8i124DJFZOv57ru3enqLaWBwYPpM7h4pUtW3CpKjZFARnMkoG2obrpgVNV2Z6ZRYc332Nqpw68MXH8b57T6aJSBHpdn7+PF7uevJ3uL76PAFQhKK2tY90js8guqyIq0Bez0cgHM6dw5XvfgtDdIT+dNfV3v28eGvGIIA8ePHj4HyO+VRgGg4TTprBjcxLJp/KZt/Q+tm/RRUp6ahG1tXb8z2qq+vWcrWxcf5ybbxvB8BHnWgpbrWbef72phXP71pF8+Pp1AJSW1ZKWWYJLUZkwqjPJaUUcO5FHv54JTVzezjCsX2uG9Tu/Q5wkSXz50nWk55bRJk4vmDYaZEb3bctHC7dRXeegc+to6uxOqmrtKKqG2WTgkyevoVOrcwvUa+vtTR4rqobRILNu32le/3YjrVuE8vY9U5o91vOxPznHvRSNCw9qdoyvl4WVz95MSXUtd360BEXTsJqMxIYGUFGrixBZklj99CxSC0oZ8cyn+Hlb+OyOK4gM/O3UoTMYDTKDzlM0PXfW1Tz38zqWHjmF2Wjg6YkjiQzw4+6Fy1BUDV+LmaFt4ukcE8GSIycY0TaRQC8rBdU1pJaU0T8+9rx3uz+5fDJrTifTs0U0Lk1j8BefU1pfz4eXTmRM68b39t5+A3h+8yYGxsbSMjCQ708d1Yv/BQyPi+elEWPIq66mS7gudq1GIxun38z9G1exLisFtSGRr6S+7nddj09O7MahKmwvyCSvropY30D3aw5VIbdeF1dZdRUU2WqJbCZFSwjB+6e2cKAsh6e6jqNtQGP9zdm1ZE8dXMGOonQ0oSf8Lc06xlPdx/LOyU18k7oHgeDnkbNJ8NONEDKue6LJfl44+AvfpBygY1AEmwr1yI7ZCH/vOamJANpWlMpj+5dS73IhyRpCNFxAJBL8A6h22vE3//6+Rb+Hx3oO42RFIQdKcjHKkp4KdxajY1szOrbxfQ739uWNwY0RxGf3rOP75CMN759EC98/l7pnkGXeGDHB/Xjswq/ZnJPJzrwchsbG893JI3x99BB1TidGg0yX0EhUVQVJYtHJE2zOysAoyyybNoMP9u5i6Nw5Z0qvAMGlC+ZjREKWZBRVRUbC22Ti6i6d+eHYcQSCL6ZOZWBcS2yKwrGCQr49qLv4LT2ZdEERJNDTB4WAgzn5emql2ygEvtx1gKfGjyAuNNC9TYfocI6/cj/AH2607KERjwjy4MGDh/8xRo7rQnRsMI/e/g1Ol+L+I3rrnaOY8+lGho/s2EQA1dTYWDB/B5om+ODdX5oVQRciNMSXuR/c5H788N8WUVRSzeqNx7lsfDe27kphy+5kunZswSN3jP2NmRqxWkx0TGwqaMwmI9+/diM5hZW0jQvDIMskRAeTklOK06Xy5PvLWfr2refMZfhV/n5JRS1Rof48+elKhIB9p3L4cPF2Hpo24oLHJYTgk2W7MBuN1DtcSEC9zcmQBz7kxnG9mTW+X5PxsixxOC2fvLIqNEUwukdrXJrGscxCBNAyLBBvs5G7P/sZVQjKaupZdSCJm0fpkaWc0koenbeKED9vXp9xKd5/QKiZjQYeGDuY/Ooa/CwWJnRuS0pxGQhdPF3Tqwt3jRjA0Lc/x6WqzN93hDnXXc6ln36DKjTGtmvDG5ObX+QFelm5trvei2ZDejpVdjuKpvHjiRMkBAfhb7EQ7uPL5R06cnkHPVJRVFfL50f3oxkEAWYL1ZqdAQs+YWxca94fNQlF06h1OQi0ePHhmEnUu5z848AOfE0WJiX+vs/lje178/cDG+kZFkO0t3+T16xGEz1CYjhUnkeoxYcQa/MF9klVRcxJ0Wtg/nZ4JQuG3dTsuAgvPywGI05NwSqZubeT7lKXXVuOQ1UwG4yUOmrdIujXPNtzHA90GY4MjFv7EZVOG9Nb9WZqQpcm4947uZkyRx1CgP5R1t0LJUkiuaaAqzd/wXPdL2FXSTrXJPQmxjsQgGqnnS9TdtI9JJbhkX+swbHVaOLLkVfz5am9RPsGMCDij7mTORQ9AoQEZlkmyuf3ifpfszItieL6Wi5t1Y4wb1/iAgLJqanCJMt4G028u2+XO6jqUjRqnA6cDRbZa9NTAf07m1JWyooUvTbw17JC0QTo3bPQhKDG6SS1opyfr78Oi9FAy8BAAC7v3JHLO3fEy2TimwOHmdGr+wWP/3BeAaKheezJomLSS8u5undXvjugN511qs27T3rEz1/HI4I8ePDg4X+Q9h1jePfLm9mzI4Vho/Umo2Mv6crYS85toOjtbaFlyxDy8iro3afVRdn/kP5t+HHZfsJD/HjxHyvJzNWL2zNzyigpq+G1py7/03/kfb0sdEhoND6oPavmSPmVo9MZDp7OwyhLKKogPNiXyBB9QWYyGnC69EWIn49exyKEIKOgnMhgP7ytTQ0mam0OPlm2kwUbDrsbJCLB6dwSAL5YtfccEQTQs3UMPhYzqiqY2LcjXeOj6NginG82HSS7uILH5q5C0/SlnCRB/7aNbm1fbtrPiZwiLCYjm46ncWmv9n/oeoX7+zL35qvcj7vHRvHJdVNYeuQkX+85yIoTp7ErLlyqRkW9jWq7HZem4lBU0svKf9c++rdoQeuQEHKrqkgIDmTi9/MxSBLLrr2exKDGPk73rl+p3wlvOM/tBVlISKzIOM2DVYO5Yd0PFNbV8mivodzWpS/eJjNP97+wMD2bWzv2ZVaHPsiSxImKAh7Zv4QE3xDe7nsFZoORRWNvIL++mjCrLya5+ShXqNUHgySwGgx0Djy/5fTfelzC0IhEEv1DaePfGC16ous4TLKB1v5h9AqOJaeujDX5R/kpZx83JAxmekJjvpefSf/c/TLuLops1ST4niuYpsR140RlAZIQDXblosFgQWDXFPLrq7h95wJcQmN7URqLR84GYPSa96hS7EjA98NupntIC4T7+l/4++djMnNP18EXHNccz/QdSaxfICCI8PJjUkLzIrbKYUcgCLR4sasgm29PHebGTr3oHRHDd6eO8sS2XwB4ftcmRrVsxUdjJrMjN4sOIeGsy0wlxMubUptubCBLEn7msxobN4Rqo/382ZOXc95j9TabqHe5mqSo9o2JJrOqgmHxCeRVV/Pd0aMMiYujX2wsjw4fwqPDh/yu6zB7UB92ZmSRU1lNdKA/rUKDeXj0EPKraqi2O7h98Lm/LzxcHDwiyIMHDx7+R0loHUFC6wt3IzcYZD7+YhYlJdVERQVelH3fceMwrprUi8AALybN/LDJa/uOZJGTX0HLmIvT5PRvs8fz6LvLMBplPn3q6mbHdG8TTXiQHyWVdTx14xj3AvDHF2fy6vyNtI8L55aJuinBi1+vZcXOE1jMJla+fiv+PnqakUtRufpv31BaVX/uDhrKNMb3bnfua0BYgC/rXroNVWju9LKBHeL5aPUuNAHJeaWYjQY0TfDw1KHEhwex/kgKXeOjGNC2Jcv2nUSSJDrGXhxb5P4JsbyzcQeqJqiy2Xl09FDSSsq4vk93WgYF8tiooWxNy+REcRFDPvicj66YRJeoc9MMz+BjNrN0up4a+dC61ThVBavRSGp5WRMRVOdyuN3haiXdce7MorzaYaPUVo8iNJZlnOK2Ln3/9PmdqQN6/9Rm0mpKya+vYk9pJkMiWiNJEjEXcFV7N2ktmkEXD6Ojzx9BMcsGxrc4tx4nwsuPN/rodRxTNr1Onr0SAFXAu0m/NBFBZ/AxmmnlF3rO8wDXterD5NiuWAxGZmz5mlOVhbjQrZY1TRBi9abS6cQkwMuoC/dqp50qRU8DFUBWXRmvHP2FIxV5AHw5cAYDI8/vfvhX8TVZuLvrbxt9HC0t4KqV3yEQzBl1Odf/8iMAyzOSiPHxJ9za1Hp+Y3Y6FoOR4S1bsTs/h0c3rUHRBCZZxqVpaELQOiiYQ0W6O90liW2xKwrPDRnBZwf3uUWR1WhgWHwrruvcFbPRyPasLD7Yuwck6BYRzqODhnDr8mUIIZjQpi2niotJLivji/37ifL1wyBJfHPVlUT7+yOE4L7lK9mcnsHjw4cyvXtTw4YWgQFsuHsWNpcLi9Ho/mx+Nn3KxbnQHs6LRwR58ODBg4cLYjIZiI5uvq7lzxIaoi9gnrpvAi/8YyWKoqIJ8POxEhp8/r46f5Tu7Vqw9qNze9ecTYCvFz+/PgshaGIIERMWyPsP6E5ymibYezKbjQdT0ATYHC4Wbz3KjRP0xXi9w0VpVT2qpmExGdCEICLQF02C6BB/XrvlUoL8z9+/RJYl5LPcwxKjQhjSsRWHM/J4+ppRVNTZsDlcfL52D2/+vBWDQcZqMrLhhdtY+eRNeJlMBPj8/roPIQTvb9hFSmEpj186nJigpqlh944YwGNLfqFTdDjTenVtUvtzfe/uvLllG7UuPe4wde53hPt688utNzZxfmuOB/oNJL+mhhg/f0bEN40szplwObf/shRJhhOVRbga3gqrwUCXsChGtGjFwZJ8Huk11H0Orx/ZxIb8FJ7uMYahUc1HKg+V5XD7zu8Isfjw7bCbCLLo78OoqHZsL07HLBto53/hGwJnOFaRw5mwwCep62gfOAN/0/nf2+ZQhcb7p5eT76hAkiSEEBgkif6h5xp3/B58GyJG34+YxdzUbbx+Yj0ARoOgzFXNt4Nnc7wynwktdLMAH6OJYIuJGsWOUTIS7RXgFkAALxxZSfhpH45WFBDh5cfcITOJ/FX64K/RhOBUZRGxPoH4m624VJXH9qwAJF7td+k5phgAtS4HX5zYR73LybfJh/E3WRgSnUCw1ZtAs5fbfGF7flaT7fJqq8mrrqF1YDBplXpEMsCif/6f2LKWJSknURFYG4SFS9OQgG05We6fl6UkgYCtWRlsmjGLb44eRkhg01S25mRyb78BdAgNY+Fx3brcKMvcP3AQQd5eODUVRdU4UliAEA09s1SN7CrdFXLiN/N4fcJ4OoaGsTYlFUXT+GjXnnNE0Bm8TH/dkdLDH8PTLNWDBw8ePPxHkFdYwepNJxg7tCMhQT4sXnOIljEhDOvXhsrqej79bjtRYQHMmNr3X54Pfyw1n1l//96dDSMadu/jZaZ9y3CuH9eLId0S+W7DQX7Ze5o7pw6ib/uW553vt8gqquDTlbvo3zGOy/p3avLanHV7+WDVTr2WAjAZZLa8fAc+1j/e92l/Ri63zV2CQ1EY2T6R96+/7A9t3+G1d3CdvYaQwGCARddPp0vk+QVFakUZXkYT4d4+ZFZXkBAQjPFXjWk35aZx89qfEAKmJHakU1gYY1u2Jc6vqRDPr6tm5MqPcWkqLX2D2DSx+ca4j+3/maXZR7EaTLzccxKXxja6hhXbavA1WfA2/v5ruLs0lbv2foUsaZgMGp0DYvms392/e3uAzUXHeOH4d9S6Gq/hkND2vNnrhr/8+X7q8I+syjuCqunFJkPC2/Bhv6bNSY9X5DF92+fuHk0myYCX5E2Z80wks+n6UEZi4fBZdAmOQQjR5BhVTeOxfctZn5uMQ1PxM1nYdOldPLf/FxZn6FbrQ6Na8fWIawEosdUxP/kQQ6PiWZpxigXJh1G0pqmqZknmwe5D+SUrBUVofD5qKq/s28Ly9FO60YQAhMSQ6JbsL8zHqanM6NiDQ0X5nC4rxdFQSzOtfVcSAgNZfPokfaJiOJifz6myMvd36AzhXt6U1DeN4o5PbMMrI8bw/fFjvL93NwL4+6jRvLptGyV1de4rJEsSIV7edAkNZ1NGY7Nji9HA9K5dOV5QxIG8fO4dOIB7Bv1xm3sPfx5Ps1QPHjx48PAfjaYJbntkPnV1Dr5bso8unWI4fDIXgyzz0cvTWLL2CKs2n8BklGmbEE7/HhcvTUcIwaeLd3IkOY8HrxtBm5Zh54yZ/drCM2ZbuNdOkt7j6MDpXA6czmXzB3cxbVRPpo36bTvpC/HU16s5kVXEhsOp9G7TguiQxtSs4V0S+WrDflRNo0erGK4Y2PlPCSCAyAA/JHS3tTaReppVekkZQT7eBHmf29j1bKrsdnrERLEvN7/JUlnVYG9u7nlF0PKUJB7euAZJgvigQNKrKugZEc33k67Bprj42+715NVWE+zlhTDoRfNLc46zIlfiH0e2cezaB5sIphCrN+FWX0rstQyOiD/v8U6N68aa3JP4myz0DWs6Ltzrjxfk9w9tTYyPF2XOGv16uGx8mLIYl6YyO/EyvIy/HQ0DPVXOKVyYDPpnSkYgyY6LIvBvaz2CDYUnUCSNv3e/krHR59b6xXgHYpRkXEIXCxLw9dAZoEn4m70Y/stbustcAwI4VpHPp8k7WJ+fRI/gFngbLOwqzqRbcAxHywobHOIkalwO7t+5hC0FjYJge0EGx8oLaBMQxpAlH2NXFT44toNprbujiHNr9QR6D6fbuzbWxLw7fCLvDp9IXm01Hx/Zg7/JwpfHD+BQFa7r2B2by8WxkiLkBmsDGViaeop6lwsjkFRWCujX3qUJztZBJbZz01jXpKWwJSuD47PvoWd0NKHePlz23Xzqf9VfSzdLcPDZlMk8sGoVmzMyqHW6cKgqSaWlfDftGlya1mwkzMO/D48I8uDBgwcP/3aEENgdLlRNoLpUjpzIc6elGWSZyDB/TEYZISA40Oei7jslp5RvVx/A4VJ4de4G5jxz7TljXOqvsibOftiwTrQ7XPh6XXjxeyGigv1JKyhDliR8rE3nS4wMYdsrerTjry6WWwQH8PO9MyisqqV3fAxj3ppDbqXe2PLlqWO5vKcehVp1/DSPLfuFQC8rS2+7nmAfbxYcPMKh/EJMssyNfXqwKT2DotpaYoMDubRdWz7Ys5sIH1+u6NSpSR+eH08dw6EpmCSJ0+WlCOBQUb6+z70bWZiiRw3CvLwxyjKK0BCAIgSKqrAo/SjXtu7uns9iMLL2ktsosNUQ73v+dM3+YQkcmvwE0kW4bmf4e7cZvJe8Aj+jla6BLfghZz0agihrMNfEjTrvdpXOGtLrcihxlmMxKGhCQtMkJEmiR/D5beH/CHG+oWwa8yQuTcXf1LygDbL4sG7MQyzLOUR+fQX9whJp05ASKISga2A0Ryr02hmzZKRdQDg/ZO3jVKUuJA6W5yI0/VoeKsvFz2hFERqhFl/Gt2jPvJQDKJqe4qcJgUmSqXE6KK6vxdFgp60JQe/QGOYnHz7n+P7Wd1QTi+2zifH156VBY0gqL+GrEwcwGw0Mi03AoSj8nHoKRVWRgM5hERwt1pv/Kmd9Z52aymP9h7A7N4ctOVluN7je0TH8Y/QEqhx2Ji3Um87aFIX1memU1NXRLTKSIKsXTkVpcIzTDTxaBgTwwohRyLLMuxMn8vCa1fx86hQSEjf37IkkSR4B9B+IRwR58ODBg4d/OwaDzDvPX8MjL/2Ey6XSvnUEo4Z2IDYqmNbxYbRqGUrbhHBCg3xom3Bxiv/PEB7ki8lkAAk6t2o+gvHMTWN48ct1bvEj0RgRigjyoarWzqvzNvDmPZP/8vG8fON4dpzIpE2L0GZrfC5mKmBscCCxwYEAbgEE8OzSdYxsn0igt5VnV63HqaoU19ax4vhpbujXg/bhYRhlGQEMbZXAoyOGure9ftGP7MzNBgme27KBjTNvJtLXj/TKcrblZZ05Cf42aATfnDjM7d30miqTfGZJIiix1fPVmCv48NguvExGdhZmYpRlTL9KmwPdqjnB78ImGvJFTqHsHBjHZ33vAmBfeRJSroQBiSiv5u2uAVyai3sPvYxdddLWN4EAkze1Sj2XRA9gdGQfYryDOFGVTHv/1hikc8/1j+BlMON1gXV3iNWHm9oMptBWyenqAhyqC4vBhCRJLBxxW5Ox49e9R3ZdOTIykiQhISFk3T5aIOgQFM5rfaYQ5e2PqmkcKsvnaFk+t7TvBwIivf1JqyrloZ0rCLRacblUFAT379Jrhs7GJBkI9W5aF+hUVb5NOoy/2cKo2ESOlxXROyKGHdNm41BUfM1mSurr+OmyaUxeMh8BFNTVckPn7iw4cZRIHx9ya2rc84V6+zCzW09KbfWcLC1harsODG+ZQHpFOff8sgJZkpCAMQmJ3PfLSoQQ5FRXsfiaaezIySajooLPDuxDANO6dGVIXLx77mdHjKRFQACtgoIZmfjnarw8/PPxiCAPHjx48PAv5df1BGfo0iGGnz6fTWpmCR3aRGI2Nf6JkmWJgT0bi96ra20oinZRokKBfl4seu0mCkqq6NhMI1WAy4Z0wdtq5vkvfqFrYgR7T+W5l23F5XUgwZZDafy0+QgOp8plgzvh6/3nokJmk5FhXRObGDT8K+gVF82BLD0qYzLIGBv2nxASxNH8IiRgcKLeC2ZE61YsvnE6BkmiVUhTAZJ/1kLTrih8uG83L44Yg7fR5A6gKZrGzM49mdm5MXXw8T7D+DrpgD5GEngZjSyacD2aECzJOAZITE3ozIWocdl56fgSJOCpzlPxM13cJqHN0Se4PW91vxtVaHQMiD/vOIfmok6xoQiVIkcJiwe/7H6tTqnnjgPPoAiVgSG9uLvNjPPOczGpddm5dvu7qEKjX0hr3uyl77fEXsNNO7+gVnHwaf+Z9AiOpdhejZ/VyprR97KnJBOb6uKRfUtxaSrlznqiGowTDLLMI12HY1NcDAiP43B5Pu8d286eohwEYJENTE7ozMJUvReOSZa4vFUXUirLqHHY6B8Vx8iYxCa/Kz47tpf3Du9ERuJFgxGHotElNIIfJk2j0m5j6ILPqXM5uaVrbwbGxLEjN4sbOnXnjh79eHLAcKxGI3euXsqq9BRA4pujh0gpL8OhqvibLWzJzGTZ6SSEEJxJzhsV34obuvVgS3YmmtA/t2E+Pkxp3wFF0zDKEi5VY2a3Hk2uqb/Fwv0DznX48/CfhUcEefDgwYOHfwkOp8K9Dy8gNb2Yxx6YwNhRerrVoWPZvPLuajq0jeKZhybSrWOL35wnLbuEm56Yj6JoRIT68d3bN2E1/zVnpWB/b4J/w7kNYHSfdozu0w4hBP1uftu9oA/wtVJVp1sNv/3dZlRNsO9UNm/fN+VPHcu6fck8NWcVcRFBzH1i2jm9iP5ZzL/lGirqbaw5nkyvuBh8G1Lx5t1wNdvSMugcFUFUQKM7WJvQ5iMen102mat++J4qlx2DJNE3OhYAb5MZs9GAU1XpFn6u2LQYjDzWexhvHt5CoNXCloI0eoa1wGwwcEWrc2tasmrLSKkuYmB4a7epgUN18fDB+Rwsz0SWZDoFxjIj4c/1sXGoTpbkrcXLYGFi9KgLRmba+V/YCMPX6M1draezo/QgV8c2bTJb7arFqblwCYWs+tw/dcx/hnrVgUtTcGoqebYK9/Nbi05TZK/GqSk8d3gJ8wbfxozEfrT0CcbLaGZ4VFsAHKrKMwdXkFZdyqKMw4yObselv3xGoa0Ws2wgxiuQrJoKVCHc3xmHprKnMNu9rwS/IMK8fAi1eLM6K5l9hTkM+OFjyuz1SEi8Nng8BknWo09AtcOJJgRpVeUU1NZw9bLvqXDYQcBHB/cyJj6RVVfNxM9spvdXH1HvcvHx+Mt4ZeQ49hUWUGG3MaZVG06W6v27qh2OZq/NwwMG0z40jNdGjaOwtpYZXRud3YyyzD39PCYH/814RJAHDx48ePiXkJFRQmp6Maqq8e0Pu90i6NNvtlJYUk1FdT0p6UV0aBP1m/McTylAUfR7tUWlNTz+5lLS88vw97FyzfieTBze+Z/qHidJEsvevIXv1x2ic2Ikg7slsnzbcVpGBnH/20tQVI1dRzPIK6kiJuy3+800xw+bD6NqgvyyapKyi+nZ9rdF4cUkyNuLaX2bWvhaTUbGtD9/L5xf0zokhEN33EVeTTV2l4vEYF0sldrq9AaeErgaCuE35abxwdFdTGvTjSvbdOH2zv1QUXjv+HbmJu8nwT+EqxP149ldnMGHSVuYHNuN5JoCvs3Yiwz0Conl68GzAPgpey9HyjPREMgIYr2DeOn4fLYUH6d7YAJv9Jz9u89jecEGluStRZYkgs2BDAnr87u3/S1GRvRjZMS5DTCjvMKZ3vIyjlQlMSNuykXZ1+8h3BrAE52nsrP4NLNaj3Q/PyCssR4nva6YHcUpDAhrjcXQ9IZDuJcfsiSjorIq7wQ+RgvljnpA4NRUMmrKETQtoxNCkFlb6X4yubKM5MpdDS/q/wySnm6pCcHr+7fSPTSau7v3p1VAMIqi8WPycXqGRzNkwefnGCusy0xjR242LwwehU1x4dRUblm1hI/HXcaOG26lzuUkyOrF1qwMDhTmg6SbKBgkmcSgYFLKyxjSMp72obpJyqS2f6wBsYf/DjwiyIMHDx48XFQcDhe7d6fRpnUE0TGNxeoOl4KmnesCNWJwO5LTivDzsRIbfeHajlED2vH14t0UleppV8lZxVTU2Cgpr+Xvn6+lsLSaW68adPFOqBkiQ/y5/9ph7sdXjeoOQM92Ldh7MhuT0cDJjMI/JYJmjO3FyawiWkWF0CHu9/eu+U/jmp++J6+2higfX3beNJtWgcHc03MA23OzeHrAcEpsddy8fpFujlCcx6RWHbAYjET7+GOUZASCKO9G57aH9y2h1FHLwbJc/M368kVDkG+rco8Jsfhikg0YhOCW1iN4+cQ3uITuWLavIoVjlRl0CUxgT9lR5mUup4N/Al0C2tAvpBsWQ9OIm6/B2x398TH+sR5Af5bLYkZzWczof8m+Uqvzefjw51iNZj7odRcTY5q6GkZ7B3JPu1F8mLwBIQRzUrdy3/4FzGg1kIc7TnCP6x0SS9+wOFKrS7inwzDifIMJtfqQX69/P8WZTsHgbkZKwyu/rgU6G1+TmSqHAwQU19exNjuFSoeNa9p2pdbp5HhpMZ8d2d8ogH7lXVKvuIjz9yfM24fcmmqEgKXJSYxPbIvZ4IWqacy97Aqe3byexadPoQHXdOzEyyPGUGG3EWT9bYdED//9ePoEefDgwYOHi8ozTy/i4IFMJElizte3EBTog9ls5K33fmH56iMATJzQlYfvbUwHqqisIy2rhM/mb2NIvzbMuLL/b+5DCMEPqw+SX1xFRKgfH3y3jTN/zyQJtn7zAEbDXyss/zOk55XxxEfLCQ305c17J+Nl+c9ogKiqKjaniq/XxU+tc6oqD65aRVZlJW9NmEDbUN1uO+GDt9xjMu5+6JztFqUe45HtqxEIfE0m3hk2kXu2L8EgyQyJiqdVQAjRPv54GYy8l7QZRVOpVZwEmr2Y1bYf757aSKjFh3/0uZqOgdGA/rnYW5aGQZJ45tjn2NQzVsb66vvzPg8Q5R3M9bsfA1RkCWRJpm9wdx5tf0uT4xNCsKf8MFaDhe6BHS/6dft3c93O18ix6U5vMhJt/WJ4v9ed7khPrWLnpp2fUOao5aEOl/LU4SUIBAEmL7aOe/KC879yaD1fJO/BSzJQr2ogzpiJ6MLHjIyjwXXRajAiND3q0zc8lgnxbXnzwA4q7Db3fEZJYlxcWzZnZaAKQbDFi4K6WiTAy2DEpioNvYMaj+Gz8ZMZFBPHjSsWk1NdxScTLqN7RBQPrVvN4qSTjGmVyMaMdNSz1sJ7Z90OQJj3xXWh9PDvwdMnyIMHDx48/MsoKa7GbndhMMrMmPkpVquZzz65ieKSGr3rutHAJWOb1ngEBfrw1pPfkZtfQWpGCeOGdyI89Pz9WyRJ4ppLerkfD+zRimmPfA3oCy1N0+DfIIJaxYSw8OUb/+X7/S1O5xdz1RvfAjC8Uyveu+WvO9idzY6sLDanZ2BTFN7duYsPL5sE6Atbu6pgOY818JDoeMK8vKly2Plo+FRu3/4jDk0FFNbmn0bWnY2RZQ0QGGTBDYkDuKvDMPxMVmYknluPkVlXyPdZ60n0jcSuuZAa+joFGq2oUh0PHX4Ng6y7mRkbPh6a0Kh0VZ8zlyRJ9A/pcc7z/1+IsAa6RZCGRkZdEck1uXQJ1HtwvXlyOZl1xQhgSe4+psT2YG3BCW5tMwyXplJqryHSK6BJ6umJigLK7XW8cnQDDlXhbz3G8vzBde73wSzLODUNoUk4hMYZQeRUVRocp8mvr+b69j35/Nj+JiLo2f6jCLZ4sykrA6eiUKDUAmCSDRy7+V5mrvyJHXlZbrEV4+fP2AQ9jfPHy69FCMHzWzdyx8plFNbp265PT2sSQLLIMkO+/gIQzJtyJX2iG1NRP9+/lxEJCbQOObePmIf/TjwiyIMHDx48XFTuvHs0S37aT3l1PceO51Jba+emW77ghecvx2o10bZNBB3anVv307ldNCWlNfj6WAjw+2OOXvExIbz6wGX8tO4w0y7t3cRZ7n+d+ZsPuX/efirjN0b+OdqFhmGQZUwGmbSqcrp/8iGvjhrDqTvuI72inDj/5lMCI7z92HO1bjFd43LgbTA1NNvUEQIkSV+iGgz6//MydhFosXB7u+HucYqm6kXzksQ9Bz6kVrFzqDIVGT3KMyG6Dz4mmRX5WzHImtvfXBMgSxDtFc79bWZelGtxuGI7ybWHGB42lSBTOCbDv8bU4s/wcrcbWZ2/jwpnDfOzNtPCO5Q2fjHu150N74UEtPGL4LFOk/lbt6komsplGz8g31bJlNge/K37ZQC8dXwjn57e0bCNhNDg5cMb3CKjfWAYD3UdTpSXHxNXfY12VmqcJgQ0NGY9I6lWT7mRh7etps7l5OFeQ+gSGolDVdiQ1Zr82mpqnQopFaUMiY3HIMvMn3QVXxzez0s7tgBQUFtLRmUFCYF6Sm5JfR3fHj+Komn4mEwommBsq0RWppxGA0yyzCWJbfk5OQmA/fl5bhHU6j09qvnKzm28NmosV3XqcpHfDQ//Djx/JTx48ODBw0Vjzheb+X7BLmSDzG2zR5CZVUpNjR2HUyHpVAGP3D+e519dxq59aTz32GWEhfpRWl7L6x/+gslk4B9/u4qElqGUVtQRFuJ7jpgRQrDjYDoAg3q2anIXelifNgzr8/sL+P9XmD2uP0v3nQQBCeEXrrn6o0T7+7Ht1ls4VFjA7SuW4VBV3ti5nXKHnUtbt8XwG00ikypLOFVRzDfJ+6h1OTBKMjPa9uRkVSFZteX4my2UO2uoF7aGdEfBt+l7mN12GP84tZz1hUepVmpJ8A1nTr97UDSVM5X1sqzhY3CxrXQHsxIup5VvC7LrsxFC6EXwwMc9XyLMenGuSbWrnEW5H6IIF4cqtmCUVLoGDOOqlvdflPkvJnm2YuZnrqFbYBsuj53Aza3Gn2MmogpNj9xKBvqENPa6yawtI6e+HICVeUfdImh9/mn3GAkwG4wEGn3Iq9Nrg5KqSnjpwHoyqisbR0kwMroVW3MzURpS0jKqdYc6b5OZj0Y2jVpaDEbeGTkR0O2q82uraeHXKLKv7tCFt/bswKYoaEJQbrO5RVCwlzetAoNIr6zgqg6deXzQUHbn5rA5K4Map+42d6io0H38Z0eBzubDfbs9Iuj/CR4R5MGDBw8eLgo52WUs/G43mibQNJVPP93IY49N4sPPNyGEYNiQdmzYfJLDR7NRVI0lKw5y243D+HTeVnYd0IVNdn45ndrH8MuWk0SG+zPv7RsxGhsX0et2JvHqp2sBeGL2OMYM8rg2nY0QgpS8UqKC/fDz1qNpLUICMEkyitBIKyw7p0+TqmkYmmlC+kfwt1rp3yKWlgGBpFaUkVNbxQtbN/Lz6ZP8cMW1zW5TVF/D1FVzcQlVly2ShlmWeaDrMHxNTXssVTrquX77HDJrS7kqvheTN79OsbPS/XqurYS0mkL8zBYcDjtWg17vozS4xC3JW0+XwFjCLCZ6B/UgrS6bkeEDLpoAAjDLFgySEYFACAdGVE5WbwHuv2j7uFi8mTSfpJosdpQeoWtgG6K9QrGrTtYWHCDeN5KugQlMie3DtpIkgsw+9AiOd29br5yxkxZEWBpTVp/pPp47di7E22Dm++E3Euntz8nyQq5Y/40+WpwROA0WgQi+Hz2d/lFxHCjK5YpVesqmjHzeXmJnOF5SxLGSIia1bu9ugptWUcb0n38EITBIEkZZxucs63yjLLNy2g1U2Gz4Wyz0n/MJVQ6HO1LVOiiY4fGt+PrIQYK9vOgY1tiUOcTqRVlDat7XU676U9fcw38eHhHkwYMHDx4uCj4+FkwmA5qmNdTlCFJSC1m88G73GLvThSRLGCWZbp31/jE796e5X8/Nr6DO7sKlqOQXVVFda2/SELWm1oHWUDxQ09Cb51/NqfRCqmrt9OsS94etuKvr7FTV2oiNCLrw4D/BWz9tYdG2Y3hZTCx7/ib8vHQxcWnv9izde5JLerVvcsxfbt7P2yu30T0+mq/vuOoviSGL0cia62+gqK6WYd/Mwamq1DqdCCF4YddGduZl88Lg0fSL0t93m6KgoOmpUJKeQjUkqtU5Aggg0OLNilF6pOeBA3MpdFS606b0Gh+NfHsp18eN5pO0ZRgkDXFWtUeCbwQHK46hCJVE33jubnNDs+egCY2T1QeJ8YojyPzHaj+sBh/ubfMGGbUnWZn/DlKD7fJ/IpHWEDLqCpAlCR+jlWV5O5mfuY4KZx0yBl7vfitPHJmHhouZrYYQZPZ1b/vK8ZXuNMURUe3czw8MT+DIlMeb7Ef+1ffjTG2QXrgD3yYfpl5VGNkiEbNsxKmpaELgUBUOFhcQ5uVNhd3OV8cOcG2HrgyLTSC9oowrFi8ACTZkpfHFhKkALD2dREldnftdv6pDZ9qHhOFSVT7evwdFE9zQrQdX/vgdOVVVTQzrANqHhvHYoCFc16UbYT7eWI2NAmrfbXf+5Wvu4T8Pjwjy4MGDBw8XheAQXz757GZOnMhjyZJ92O0KEyc2LSxv2zqShV/NRlE0whqMD84uTL5qYi+6dIzhw7lbGD6gbRMBBDB5VBdq63Xxc9nIf01KihCCjLwyIkL8Sc8r5a5XFyEBs68YSGZBOdsOpuNUVNrFhfP2Q1OxmJv/01paWcs1j8/F6VK446rBTB/fq9lxf4WDKXk4XAogKK6sdYugF6aP45lrRmP6VWrawp1HEMDxnEIKKmtYfyKV3anZPDhhCCajgSM5BYzukOhunHohJEki0tePzydOYXt2JjO69CCtqpwFp47gUFWe3PYLk9p0IMLbhysSO3Nn5wF8eHwnWsPd+zAv39+cXxUaBfV6upRusCywGvS0qnJnNVe3HMbkFoPZW3ac1QU7GRc5gNa+Lah0VfL8ydMYJQNt/BLOO/+7KU+SZ0tHBq6JvZMugQP4JuN5nJqDGxKewdcY+JvHF2KJJMQSSUbdPk5V76BfyKTfdd3+1dyUMBGHZqNbQDscqouPUn7WrcQFSJKBNfmHcDQYS3yTsZmr4xot501y42co0vrbFvDdQmN4vd+lrMo+xc1t+3KgJI8lGcdxqYJSWz3Ls5JYnpXEmkk383Tfkbx/ZCfXtOnC3BOHeOfgToQQCE1vyLouM43lV1zP1MULcGgqElBWX8/MZT8R6x/AVR068fmhfdgVFYBFp47z9JBhLD51kvf37kYAOdWV5FQ1mGCc+cUjgbfRyCujxiJJErEBf9zW3sN/Jx6LbA8ePHjw8C+nts6B1WrCaJA5eiqXz+dvo2eXOLbsTaGy2kZMdCDJGcXMnj6YdomRdGodhSz/8xqg/hZvzd/E0k1H8fG2cN+0Ybzy5ToUVWNs/3as35OMs2HRZbUY+ceDU+nVIda9bWWNjZfnrMXLYmL8wA488cFy7A6FAV3jeefhyy/6sR7LKOC1HzbRp20s904ZfMFI1Y+7j/Lasi30b9OShy4dwhXvz8ehqLSPCiWrqgpVCLq3iOKrm68E4MVfNjFv32F8LWa23XcrPubzF/4LocdibIqL4d9/QbXTjkNynal/x99iZv2UW7CrClvy07CrCte16YmPSZ9z9s75HC7P5eY2/ekaHEOHgBhePLaIPWWpODUFP6OVV7tdy7MnvsahufA3Wvl56IvnPZ5SRzmKphDpFX7eMY8fvR5VOJARGGUj7f26kFyjrzdkwMsAl0bdQ5egkeedo/H8NSTpPzMW9PzxjzhceQqjbOTlzvfxyJHPcWkKEZZgbm51CbHeEVy38200BDMTRnB7m3HubesVBy8eXY4sydzSZigJvqF/eP8fHNvJm4e2uVsFvTN4IlNadXK//tjWNSxKPo7ZYMDm1L9fEvDy4NE8s20DqhC0Cw4lwS+IdempWIxG3h83EU3TuG3VMvf4u3r3Z11aKsllugtehI8vJXV16J2FBEFWK4qi0iUyirL6etIrKritdx8eGvjP7TPm4V+HxyLbgwcPHjz8x7Bo2QE+mrOJ8DB/vnz/Rrp2aMH7L09j9aYT5ORX4HAqlFXWogJvf70Ji9nIpSM689DNo/4tx3vgZA4Ol4paa6ddXDjXX9qb8sp6Zk3tz+HkfApK9WadAT5etG0ZxuINR/l88Q7GDGiPj5eZHYfTMRhkurWNZnTfdqTmlHDX1UPc82cXVFDvcNI+/vyNUTMLyhFCkBAdct4x+aVVaJpg3qPTmhU/QggWbD1EblkVs8f1J9DHi6v6d2VK7068sGQD13+0EIeiYjYYaBUeQmp5BS5Vpby+3j3HD4eOAVDrcLIpOZ2JnZuvycquqmTyom+xKyrfTbmKzdfewsmyYq5sqPuQZKhxOblyzbdsu/x2bmjXdI3yRfJWthalIkmCD05vQJL0VCqTrCLLYJIMfNrvNlr7RWI2GHBoTrRfd8v8FaGWC9f/TIy6jhUFXwMqMjLehsaogEBFFRprCz//XSLoP1UAAfibfDDJRgQQZPbnq76PkVFXSLfARIwNkZ6No17QxaWpaaNYb6OFElsNe8oyWJ5zmO+GzqZTYEwzezk/QoCxoU4t2tufMbFNDU0e7j0Eh6oS4+vHj6dOUFxXh1k2YJBkdy8gf5OF/jGxbMnOBCAhMAgBmCQJlxAYZZlP9+9D0XQrbklAUW0dBkkiyGrB5nJRUa/XN+3MznHnxX24dw8zu3WnxumkuK6WvjEt/nDaq4f/DjwiyIMHDx48/EtZu+kkqiYor6gjJ6+cdq0jAejRqQUWsxFNE4SH+ZFbXIksy9gdCklpRRf1GKrr7Lzz7WasFhP3Tx/2m5ba4wa05+NF2xFASnYJt04d6H7th9dupLLGhq+3BbPJgEGWeX3uBoQQLPzlEM/cOhZjQwpam5bhXDGqe5O5T6QVcMcrPwLw+I2juWRw06acpVV1fLJ4B6t2nkKWJF6/ZxIDu5ybznU4NZ+bX18IgJfFyJa378JobLoI35uSw3srd+BSVOodLp6fNhaADSdSWXUoCUdDRCs0wIdXrx7PqJOp7E7LZuagxrS9Szu2Y/HRk1iNRoa3Pn9a2ZacTOpdLhyqysrU0zw1aDh9Ilswo10Pvk05xJmembUuZ7Pb/5Kr2xTrBfK6AAJwaRIWWQNU3klaQlv/aN7oNpudpScYFt7tvMfzexkcNoG+ISPZUbqSAFMIPQKH4mWwcLp6NzUu/TPY2q/PX97Pv5u72kyne1AH4ryj3OYQwRb/JmMsBpO7ceoZNhWeZG76Ng6V5wAyAvgl/8TvFkHp1eX8lHaMKxI7E2C2EmC2cllChyYiw6Eq3L1hOafKinl7xKV8cmAfCD0l7rFNa5GEbnrQPSKKG7v1pE90DEFWLzZlpPP81k34GM08MGAQbYNCuHvNSiptNjRxxooBVE0wJiGRVSkpgOre71mO3Qz78ks0oSFLEnf27cdd/fr9oevr4b8Djwjy4MGDBw//UmZdP5hX311Nx7ZRJCY0piZFhgew7Ks7UVUNs8mA06Xw7bL9HDqZw30zR/zp/dkcLgC8LPqC7q1vN7F4wxFcioYE7D6WyY+v33ReUwA/HwsmowEhoLSyrslrJqOBsKCmdSzeFhN1dieSBKP6taOgrBq7Q6FdXDglFbUoqkZUqL7gzCrU61sURSU1p4STGYU4XSrd2+qLykfeW8rx9AbbXglOZxU3K4Lu/+Dns85XYU9SFoM6Nx0X6OMFQj/mUL/GWquE8GAkSXIXiN8wuAevrtzCgt2H6ZcYS3xIoHts5+gIFh89SZS/H4azmtHmVlXx9y1biPD15YlhwxgTn8hnh/Zjc7m4on1jmtNLg8by0qCxHCrJZ1nGSa5s3XxdV43LDpxxCDuzNBWYZBmDpIAsOFaVxrGqNDJqC7gpcTQBJi/uPPAipY5ynuhwGz2COjQ794UwyxZGhOupikIITlStRBFOvA1e3NL6QwJM54/Y/bdglk2MCO/7h7d7+siP2FQXsgyaqueyTW3ZtO4vpaqEZVnHGR/bAZeqUu1yMDginqf2/MJ3qUdAwGcn9nBq+sMsOH2EgT9+wg3te3BH1/4AHC8t4khxAXZV4YNDu2kSg2n4KBgkmdHxum13pzD9/Xh52xYUTaPK4eD5TRuRJRmLwYCm5765m7EC/HDiBA8PGMSbO/W+RpG+vsiATVWosNvRhIYQAoemkVJW9oevk4f/DjwiyIMHDx48/Evp1yuBJd+c67Z0/HQ+j7yymJAgHz564Vr8/by4+coBwIA/va8zkRYJ+Ozpa4mLCmLh2kPuxZQA8suqKa+qP0fMnGHS0M4UllajqBqXj+p6wX0ufutmflx/mNH92rHnWCbzV+7HpajsOZZJdmEFAnj+9gn07RTH6L5tOZqcR2WtnU6JUcz++w9IwJM3jWH8wKaL+AYTtd9Fl1bnNqNtFxPGnHuuorCihhFdGvu+tIsKY+lDN1Bjd5AQFozFZKTfix8hgD1pOdQ7XfhY9DqdRYePA5BdUcnB7DwGJcaTUVHBhK/n4tI0TAaZbpGRTOnYkW0zbjnnGB7fsYZl6ae4p9sAnus7utljP1lZQImjxh390TQ44+egCRVFk7HIZ+7gCw5VppByNJVoryAqXRU4NBdvnv6S17s9TIzXXxcsXgZ/bGoNvqYg/EyhFNuTCbbEYZL/WEPf/w+09osgqaoAl1CRJInBYa1J8G3qojdjy3zK7HV8mbwXoUlISNzSrp8ugBpwaRqKpvL3fZuwqwqvH9jK7C79kCWJDsFhRPv6kVldyfQOXfnF6MX67PQmDipCCCJ9/Zrst31oGIcLC/TX0SM+9ZqCLEluR8mGPrnIApYnJeFlMGBTVEpq69AaathaBPozIDaWUG8fsioreHzoEDz8/+Q/N2HVgwcPHjz8T/HTmkNU19opKK5i37GsizLn3hPZuBQVRdXYeyILi9lIYkyIu1WJwSAxpl87Qn/lQnc2JqOBmZP6ERnqz8mGqMxvEejvza2XDyQhJgSL2YiqCVRNkJJTitOloigaT3+4kgn3fMLm/alcObo7f79rIhU19SBAUTXySvQ6o7uubLoA+2rlXvadzKbe3jSN7JMHr2Rcn7ZMGtiRze/cgb938wv0zi0jGd2tzTlRr5jgANpHh2NpSAu8ZWhvvExGpvTshI/FjKJpjH7vS5IKSkCAKgRPrVoPwJGCAvc8qqYR7tP8tSy11bEw+Sj1iouPju5pdkxSZSHTtnyFTdOjdxK645wQjSlxJsnIpOg+Da8BCOyqSomjGl+jXr9Sr9axIGtps/v4I0iSxE2t3uXS6Pvp6j+Uj09fzsLM+/gu8w7+G42lzkdOfRHHKlMueE6f9ZvFKz2uwVv2xiDJWGQLe0oymowxywaMsgEZ/f1zqgrLMk80DpDgmd6jOF1RSqfgCIyyTN+IWLedtrfJzIarZ5F08wOMT2jL0ZJiJHGW/BfQJSyCxadOoJ4J8wA/XT2N+/oOYGbXHoyIb4UsSVgMBqZ16cq8y6/A2DD/GZvuzIpKXIrem8rQeGjc3qsPr40dxyODB/PBxEnniC0P/3/wRII8ePDgwcN/BJeM6Mym3cn4elvo0TH2whv8DiYM7MDaXUnIssS4AXqPnLnPX8eLc9ZSWlnHM7PGEh12riVurc2B1ay71wG8/OVath5MQ5Ikvn1pBsH+3vh4mSmtquOVr9ZzOquYGy7pTf8u8aTlljGid2vS88rw87EycXAnlmw+CoDJZCAyxI/8kmqcispzn63GaDDg72uhpKKOHm1jSIgJ4dqxPQGoqKnHZJRxKfpir97p4p53FhPs782SV252i5b2LcN55dZLL8o1A1h9NBmAnalZCCFYdeI0OZVV7loegDqHLsRGt25N7+MnSCotodLlYObPi7mpRw8eHzLMvbBdlnqKBzavxGQ04BQqV7XpzOa8NB7YsYyOwRF8NeIazAYDpY46JCQQEkiCAJMXTuwoKAAINBShsTL/MM91uY43k37AoTnxMZp4pP31tPaN5sHDL6EIFT+TN4qmYJSNlDpKOFJ5iG6BPQi1hCGEYGXBAk5VH2RI6CX0Dz2/6YaPMYhE3958nP8KAg0QVDpzUYULo3R+d7z/FjLr8nng0FtIwHVxE7gitmmErsheSY3LRmu/KCwGEyMjOzJ0XDumbPqIdQWn2FyUwrbxD+Nr0oX39yNmsjbvNEMiW7Ey6xTzkg+SWVPZMJvEa/3HE+sTxDWrv0MCHu81jJs69sKhKqRVlvPpob30j27JtI5dWZl6muqGhqYR3r5U2GwoqsahggIOFRRQ43Dw7DDdpEKSJO4boNfraULw3Ib1VDuc3NW3L2O/+hpJQPuQUCa1a88b27frro4SzO7dhys7d+Ku5SvoERXF9O5/vbbMw38HHhHkwYMHDx7+I+jTNY4N8+9DlqWL5sYUGerPd6/MbPKc2WTkxdsvaXa8EIKrn/qazIIKzAaZNe/djp+3FZeiogqBUZJ4Y95G9p7MYliPRHYezcTp0lOz3vp2s3ue0EAfqmrtuBSVlhEBdGwVQVllHa/ddxmRIf48+I+fKamopbLOhktVKWuoNaqotfHpjY2L0GE9EhnfvwNrdifhUlUEeqSovLqeyhobEcH/nLvUBVU12FwKilaPqgn6xrVw30EP9LLga7XwxuTxAPiazcy/+iqmL/qB3bm5gOCLgwfYmJbK+pv0lLglqSdQhcAsDHwxcjKj41pz+Zq5VDrtHCzJ43h5AT3DWtDWL5xYnyCKbNU4NAdVrrqGVDiJHv4tSHboUQeXUHnr1DIMBoEBDVVAsb2Ut5O/QEbCgMbO0r0ompO729zMq6depE6tY3XBCt7s/h6lzkK2laxEw8VPeZ9wono3s1o91ey1OBMdCTRHU+UsxCRb6Bo4jgUZMwi3dmBc9HP/1e5hJY4KJCRcmovs+qYGJBm1Rdy8+wMEgvvbTWJKrG4QYJQN+BqtmGQjRknGIMlsK0xjR3E6MxL7cGPbvqRXl6EIjbYBYZTWZ7vnzKurwdCw/FSExqacdOYeP0RuTRVWgwmbU2FpahK1Lidj4hKRJTBKEtd26EJcYBALjh7hYGE+AFX25hsmL09KYvGJU2hCEOnri0NRUTTB6eJSAsyZZ5eZISMRFxTEihtmXNwL6+E/Ho8I8uDBgwcP/zGcXWz/z8SlqGzcn0y9w0Xv9rHERgQBkF1USWaBblbgVDU2H0xl0uDOPD1rLD9tOELbuHAefm8pQsDWQ2mclY3ThLMNFLKLqoAqJAlemrOO+S9ez1d/m47DqfDa3PVU1dlRVY0T6YXcdpbzHOiC7dlZ49iflENheQ0mg0zLqCBG9GjtFkBORSGvpIqEqPPbZ59hw9FUCiuq6dAinJTCMi7p2d7dUPVs3r9+Et/sOMQVvTtjNMhE+PniYzZT53RilA1svHvWOdvc138Auxf9wBmfrfTqKvdrMT76sdoUhYe3rWJZ0A1c27o7R8sKiPDyo11gONVOO2PXfohNcyJLGpIkMBoa05cO1+TgZWpMi6t01WPWXJgNEGDyYXXBJhShR4wMgKo5KXboRe2KcKEKxf26vzEIk2zRG4ICGbWnzjkfVSjUuspZk/cq+fYT9AiaTOeYCQRbWjI37SpsagW1tcWk1Wyhtf9wAOqVMjbmPY2XMZgE39FYjL7E+Pxnu8n1CurAZTHDKLKXMTOhaXPXbcUnsTekJm4rOcmU2H4IIShz1PJB32vZWHSaLoEx1Lmc3LFrIS5NZW9JFotH3cKMTd9RWF+NRTbSJSSSo2WFSEDnkAhGxCSSUlnKweJ89hTkoqj6F8mh6u8PApalnGJdaipOl15/9Nmh/SyYejVfTJrCbSuWIhC8OHJMs+fkazYjAQZJYu3pVPf8kpDYl5vrHmeUJG7q3fPiXlAP/zV4RJAHDx48ePif4x/fbWbJlqOomsBsMrDg+RuIiwzC37upIOjbMQ6AAF8vbp6su1fNuqw/C9cd4pox3ckqqGDt7tPu8bKsF/KP7tuWw6fzKK1qFENCQGpuCaqqYTQasJiNPHvr+N91vB8+fAVr9iQxpFsr2sfpxf4rd53kpXnrcakqmoD4yCAevHoYXROi8Pc5tyboYHoeT85brdcoCQ2DUWbryQw+vHXKOWN7x7egd3yLJs8ZZFn/16BCdmRm8eDyNViMBv4+fgyDE+IaUuX02+zms+qOvk3S0wEFghqHgw05adzUqReTEzphkg3IkkRmTRkuTdP7wEiN1+zs6yc0AyaDQEVFQkNg4PH205mftZxie6Ve8Q74GX1p5RPNrYnTAXi43ROsyFtCpVLBiaqjdAroyhPt3+Pt5IepVaqYEDW9yblqQuXrtLuocOYBLgyS4GjFKgaEzQQBFskXG7pYNp5lkLA+73FKHafAAdl125ElEyOjXiTWt9Hco85VQk7dDmJ8+uJnij73zf4XI0syN/5K/JzhQHm6++calw2A106sZFH2PhJ8wxga2pG/HV6Bv9GKQZKRZMnd7NYiGzBIEiaDgbmjrmHOyX0cLMnj57ST9A2P5Yk+w1mccoKjxYVoDe6EwWYvSur0/WRWVVBrc+kfJ6E7A9pcLqwmI9mVVVQ7HPxt00ZeHzvu14fNqMRE3p80kUqbnUdWrXEbioT6eFNpsyPLMktnTqdVUBDyeVwhPfz/xyOCPHjw4MHD/xzl1Xqa1xmKymuIiwwiyN+bycM6s/VgGvdcPaTZdLNbpwzg1imNi9oRvVrzzKer0YTg3Qcvp0/HlsiyhNOlsH5vMjuPZnAwKRdZghsn9cNoNDSZL7uoggff/Zny6npmjO/NTRPP7UkSGxHErZc1dcmb+8t+nIrqzuzJLK7g3g9/BuDVWZfQpVUUN/5jIeW19XSJj2JY11YNIwUCgaJp2F2u33W9JEli4c3XsjE5jbHtWwPw5pYdlDU0Up21aAkbbr2Jo3fcw4AvPsbbZGbbzbe5t/c1malxOZGQ0GTBy/s3YpQlZnRovAsf7xfCfR2HsakwhZOVubiEC03IIDR3RMggjIyKbMe6oiOAhEU2crQqmTx7OSDhhYzBoFKt1nCk+jQptRlEeoUT7dWCI1UHUdH4PP19nuzwAkbJyNOdPj3nXFWhUOEooNyZh0DFKBkBFxoK24o/J6lqGSCQMSJLTtbkPYZV8mdQxH2Y5cbPi+41JnBqNfpjoSFJMitz7sSmlmEs82J6qxX/0al0k2J6s7c8BYCC+hr6rH4SVQMNA6nVJSRXbgME1YodSRho6RPCu32vRAhBoNmLzNoKuodEU1hfQwufAD48ugsBZNdUsmLSjUxt3REvo4kvj+/nQGEeZQ4buuqRGB2XyNKkJAQQbPXisYFDGNAili8PHaSkrg4B7M/Pa/a4hRAMT9At4ucfPMyRwkKsBiOSkFA1wX2D+tE65MKRUw//v5H+G91NevfuLfbv3//vPgwPHjx48PBfSnl1PR8u2kZyTgkDuyQwe8pAZFkiNbeUmS8tQFFVBndtxVv3TP5d82maQBPCbaTwR3jhy19Yvl13z5IliVX/uI2QgPO71Z1h6fbjvDx/PUajAbtTwW3HBUQH+zF5SBc+XLkT0JeVsgyPXzkCRRNEBftxIqeIaYO7E+p/4X01x5y9B3hl01b340AfC3vuvL3ZfkuVdjuLko9Rozh496jem8XbaOLk9Q82O3eHJc8jSbqIMBo0ZLmhcSoafmaBip7e9HTnK/kh5xcK7KVISIyN6MaO8j3uO//+Rh++7PsmJbZinjrxiD4fMtaGOqO72jyGJlxEWmPxMwXiVG18nHo3Na4yQswh1KsVSMKOJulpWiHGGOrULEAgNfwznBX9ktGItHahpe9AVOHAJHvTMfAq1uU9Qr7tAD1DbuFk5Y/Y1UqMkpUZrdciSX8uElHhLORQ+Tpa+/WipU/HC2/wJ6l21nOqKp+7938J6BE5lyYjCSOq0BBCQhOgahJGjPQNiSelqoz8uhqEkEGA1WDi1g79eO/wLgD8TBaOTb+frOoKKux2vjp2gDWZyYDEFa070j+6JZe16UBudRWHCguY0LotRllmf34eMxf/hF1RsBqNvDVuPOPbtG1yvIuPn+TRVb8gAXOvvoKB8S0Z9OFnFNU2RmUHtIxl3rQr/2nXzMN/DpIkHRBC9G7utb8UCZIkKRhYCMQDmcDVQoiKX40ZAbx91lPtgWuFED9LkvQ1MAw4kzh8oxDi8F85Jg8ePHjw4OFCBPt788zN56bRWM36n0WjwYBvM7Uy50OWJeTf3cWnKf06xrFyx0k0IQj0teL3q5S8suo6/vbVWrytJp6bORZvq55uNHlwZy4b1AlJkuh159tNUsdG9WzD4l3HgMYacFVAtd3BtCHd8bXqDWCXHzjFlf27NFsX9Gve2rCN+fuPMKNPdx4cOZhZfXsxqnUrpsz7lhqnk1qXkz15er3FwNiWTbYNtFq5pWsfTpeX8N7RHQigV3iLZvYClU4bgSZvqpQ6JElCExLSmZOTwKkJzuis908vR8OBSbYypcUApseNZffe/WhCRZIgyhqBEIJDVYc4M4GQFFxCICOzJHcu5a48jJKJpzp8SIWzgDqlCoFCpVKAhAFdODW8F0o+JknCeKaRq9CdyOQz6XtI1CpFdAvRi+z3l3zK3NSR0OArd6DsC7oH3YAi7LTyH/2nBRDA/PRnqVAK2F22lIfbz8Ns8PrTc/0WK/P3syJvHwYkzsQdfQwW6hSXHp3DiEsTIAROIdhekoHQGq3NQbdU9zdbmZLQka35GTzTZyTJFaVM+nkemhCoqopRkrm35wDu7NEfZ0NtUAv/AFr4N7o3ehlNDfE1sCsKn+zbf44I+mKvfpNcAF8fOMjA+JZE+PlRbXfgVFWMsszNfT11QB7+ejrc48AGIcSrkiQ93vD4sbMHCCE2Ad3BLZpSgbVnDXlECLHoLx6HBw8ePHjw8JdpER7IJ49cSXp+OeP6tfuX7HNc//Z0aR1FTnElnRIiMZua/mn+fsNhdp3MBCAmLIB7L2/sHXQmlap7qxgOZOSBBNcN787J/BJ3PZKXyYhTKKjA5+v2suFoKvdeOoj75y5H0zRO5hbxxowL22t/sesAmhB8sWs/D44cDEB8cBDfXHMlcw8eIiEoiFuW/owEvDx6DFPadzhnjnbBYey/5m5y66rpGhLZ7H5+yDhItcuBJBmI8vKltV8Iu8tSAAnpLKEnSxr1aj0gcGhQpyhsKNqNS5wpgof02gyu3T2bOK9oZN1HDlWALOlBs3JHKQ7hQJVV7Fo94dY4Iq2tyLWdauhNpC+5hWjsMQOSLgXOargrCQmjZEbFSa1SRbk9g0BLLMcqvm0cqM/EoYpvmNZqCT7G0AtecwC7WsPi7CewqVVMbvECodYENhfNo1rNd0ehJEmmxlXJusKFRHrFMSBk3EVJsyuxV/JhykoEEGj14vXuNxFpCeSBA99zrDIPGQmnqiCQkaTGZqT6xdIft/QNondYLNNad8engxkhBI9uX80LezahoqFoGrKkX1OnpjFywRyyq6t4aehopndqalfdKTycDy65lNuXL9cjg82c4ux+fXho5RpkSWJW714AzL3mcrZlZNErJpoIv+abInv43+OviqDJwPCGn+cCm/mVCPoVVwKrhRD1f3G/Hjx48ODBwz+FLonRdEn81xasR4cGEB16br8igMgQP90UAFh7ILmJCDqaUcDB1DwUWbhT4RZuPYpLaEiAj8XMC9ePwWCQeWjuKuwuhZO5xdw2ZwmgbyLLEunF5by4bAPto8J5ZMJQVKGxPSWT+NBgEkJ157xLO7Vj+fEkLu3UVBx2jYzkrUsmsPC4HnlSNI2CmprznmuIlw8hXudPwescFIWhIULyco+p9AuLp//qF6lXnMiyAU3T0+N+vf41y0bifWIaHumLakWoyJJEti2fOX0+wNvgxQepr3Oq5igCjRq1HovszeToaQSYggGoU2sQSKjCgL8xkjo1xy1jpAbTBhUZSWgNfZBkFASgO81pKCzKmsWwiIfQzhJAZx9xqf00Pr7NiyBNqGwv/ogqZx7DIx8gp/4YZY4sHJqT5XmvcU3ca5yq2uYe396/LybZwptJ91LhKm+4FlZ6Bw8/7zUGqHHVsqZwC618WtIruEuzY95OWuo+g3b+MXQIiOH5o4s5XqnX4ihCIBrcAIWQmkQjzbLM24OmMr6FLoaFEBTX11LlsLMs/RQOTSXAbKV3WAtCLd4YZJkBkbF8dnAfmhB8d/Iov6SmklxeynvjLqVPtB45HNkqkR+uvoY9ublM7XCu0J7cqQOTOzV93s9i4ZL2bc8Z6+F/m78qgiKEEGdaRRcCERcYfy3wj18997IkSc8CG4DHhRCOv3hMHjx48ODBw38t2cWVLN5+lMGdE+jdNpYJfdvz/pLtOBSFrq2i+OXAafq0jcWpqNzy7o84VfXsYAORwX6U1tZhNBhY9+KteJlNbD6RRue4CLJLKimtbbwPqQEGk8xzS9ZzICuPIzmFjO7UmqVHTrLiaBIAq++7ibl7D7IvO5e/TRjBtsxs7lq0jFcmjsXf2uiMNrVDR7IqK3GoKjd279HknKrsdiocNuIDgi54/gPDW7FyzB1ISPySf4LZu75BRQVkgkxWWvsHcromF5dQ8DIYiLD6EecTypK8zawo2M4dideyvnAbBkkmx67X70RZwvE2eCFJEne1foR7D92IQEUCAkwhDAwd695/om8PKsqLMMpmrot7mc/TZ3JGwER6tafQfhyQMOGNLDnRhIKEhFkOwKWVofttqJQ7snEKGRAYkOgSdCWnKpcQZI4n1nvAr08bAIday8rcpymwHUdBw5n3Jp2DLwUMaMiUOrKZkzabTgHj2FO2FJNsZnSEblfu1JycMRUotufi0pyY5PM3c/0odR4HKo4hSzIvdH4Iq2ylXrXT3j+hcZAkYZR0B7kH21/G5qIkNhSeBEkgaXpTW6MBVFWPRkkIhCa5ReyGvBRGRrXFbDDwwr4NfJN0AAMyRtmIUQhu6NCDh3o2inqXqtInKoZjJUWMS2jDR/v2YFMUbl6+hPfHTWR4vH5s3aOi6B4VdcHPkgcPv8UFjREkSVoPNBezfgqYK4QIPGtshRCi2d9wkiRFAUeBaCGE66znCgEz8BmQJoR44Tzb3wbcBtCyZcteWVlZv31mHjx48ODBw38hl78wl8zCckxGAxtem42vl4XqOjvZxZU8OW81xZW1BPp4Mb53O75e12AS1BBkWPzUDUQF+7M7KZuOseFEBPlhc7oY+PRHuFQNZLAaDTiUBmuBs4zqTCYDJqPMivtv5Iklv7AnIxuzwcinM6Yw89uf0ITA22LCoamomoaQIS4kkA+nTKJt2PlTu7KrKhixcA4qgsExcXwydjLpleV0CY1EkiTK7PUYJZkAy7m23t2WvoDSIFYk4O89pzKxRTeW5u6h0F7FjIRh+BitXLLlUVzChRAgSyoWg762CTL58ETHWXTwb9Nk3sMV+1hbtIJoazSXRF1OkDm0oYZF8HXG3zlde4i+QaO5PPZ2VFWl1JGJ1ehLlbOAH3L0hBcDJiyShCJstPMfT4FtH7VKCWeECAjkhvw9CZiRsJCk6rUEmmPRhEKJI4XeITOwGPT0rFpXCTuLPyOlZjN68qIuMpBM9Am+jt1lP6IIp/6+CSOzWn2EEztBpki8jX5k1yXzVfor2DUHKhBhjeHBtq/rzn7Z37KnbCeXRF/GiPDRLM1bxfaSveTYSgAJX4MPZU4nRsnA7MSrGBel96uqcdlYnreHNn7R9AlpS0p1ITN3fooqNAaGtWNDfrLuNKjKerRS6HVRXQNacLS8ECMGgi0+VDrs2F0KiiLc5/Vk7+Hc1lnvO6QJcY6hRoXNxthvv6bUpov2YKsXB26987yfMw8emuO3jBH+kjucJEmngeFCiIIGQbNZCNFsErUkSfcBnYQQt53n9eHAw0KIiRfar8cdzoMHDx48/H/l+tcWkJJXiiYJMEj0aBXDx3dOxSDLDH74Q2rtTiwmIw5NQdP0BbbVZOSm0b25/ZIBaJpA1TRMRgMLth9i44k0TmYXUe10uvdx97j+fLBhN5o4s1wH2QQPjhvCzYN7k1dRxbsbdtItNgoXGq+s3QJA+4hQ0ioqcKoqmiwQDSKqU0QYy26Y0ez5LEs5yb2bVgJglGQ0o4YqBKFeXlQrdlxCw2KQ+WnCDDoH6/dcy+x1fJWym2/Td+MQTrfxwMYxD/Fx6npW5B7E22QiyOzNy92u5R+nF5BVXwiAQVYxy41dbCWgpVckH/R+GiF0e3BZklE0hUOVB0muOc6Osk109OvCFS2m827K/WhCL/h/suPH+Jka7+1m1h5lSe4ryMDA0MvZUzoPl7CjNTjFmdDOqlPR3Mftawgj2qcnyVXrGywS9PoiGRMm2Zfh4fezpuBFtAbBp9IoCDQNNLwAA1aDL3VqLWDGoTkRCEySN2MjZ7GzbB05tvQG4wAJCZnXui7Apth44MidDddCYnrcrXyd+S2a0HCoAlXoAsahGQCJydHDifWOZU3BbmbEj6NncNNlXb6tglqXnbb+UZTYalicdYgPk7bi1BpsE4QEQkZR3G4RaJr+s9Ak0PRz+3H8dOaeOMSK9NMYJJmXBo1hWvuuFNfXUet00CowGIeiMHr+V5TU1xHrH8CXky4nNqD5tFEPHprjnymC3gDKzjJGCBZCPHqesbuBJxqMEs48F9UgoCR0Bzm7EOLxC+3XI4I8ePDgwcP/Vypqbaw/mMycDfsoqKjBZDSw6PEZxIcH8bfv1rJk5wkkA5gtRuxOBV+rmZ2v3AVAaU0dV/1jPlX1di7t2Z4l+04iAd4WEy5NxanoC/CYMH9yKqqhsZQIYYRhbRP4+IYpABRW16BpGuM//gaHoiABL1w6ir7xsdzywxIyqipBbhRRJ+6/B6vJdM752BUXo3/4kvzaGsbGt2Z1bjIgkNyW3gJkeL7PGGa21wvZr9s8l32l2QDIsoosg0mWkWWloc5GYDbogsMqG1k05EHePr2QPeWnkSUFq0E0mBrQIEQEFllCkjTMMtwUP42s+tPsq9iLU3NiklwYJDBKRlpYIyl2pgMS7f16cHOrJ9zn8lnqnZQ4spExkOjbD6dWSJE9yW2UIEsqZgkMkglfORSbVo6X0Z92/lPIrNtCsT1Jj2pJNBgvgCYkgsxxlDv1DBcJGV9DC8qUPF1aCT2hDqCD/zC6Bl3Couw3qFOrEIAmZDQkXJrhjLzCJHtzWfRM+oWMxKk6uOfQbAQCi2zl5oS7eC9V7480OnwENS47W4oPUa86CTIFMDPhMv5+6jsADJLMmmFvXfAzu7c0k4L6KowYeHDfEl24NaTL6Q56EkIDWchoAtr4hXBNm268tHezXkckdHOJQKOVSrsDGXhm4Ahu6taLOqeTkfPmUGWz42u2sO/WO/6jeyt5+M/in2aRDbwK/CBJ0iwgC7i6YYe9gduFELc0PI4HYoEtv9r+W0mSwtB/DR4Gbv+Lx+PBgwcPHjz8VxPk68VVQ7uhIHj9p810bhlBixD97veKg0loDX+5bS4FJKh3usgureCVZZsprKih2ubApWpsOpEG6AJFUTVWP3kzH63dTbeWkby2equ+cNfbuGA2ybQICuCe0QP46dBxnlu1AVeDa5exIZzRIjCAK7p3pt7loqCu1q2eztxKdagqFqPxnNQmq9HE9umzefvAdpalJRFh9aHYUdvknL0NJi5LaOx1I51lIqBpBiySDLjQxNmqDTQEiqbyzNEFnKpJ109IMmOUnBgkgUHWIykGqSHGIgSSpvJ5xjx8DBpIej2PJgyYJA1VKBhkb0ySueG4mjqJmeVgHGoBBknhVM1uDBhp69ud7PrDCCQUYUQTJgQqCnYGhM7CKBvZUfxZQ+NVbzT0hqAW2Q9JMmJTqqlX7ajChIxKz5Br2V32U4PhQON1EALa+A0izqcr4yJvY0neW6hCQ0M3HZAlFYQBgSDSEkO/kJH69UPj+riZFNqLGBU+lmBLMA+3vQeXcNEtoDOSJHFty8l8lraI7aWHeCtpHnqepISERHJNHl+nr6OldziHKrIYGdGVa+IGNbkufUPj3T8X2Wt54+gGnGcUtgRGJGRhwKGpAKTUlPHy/s1N3kuhQaXDDkhowN93b2F8Ylsq6uupdjhwaBqyy8XJkhI6hYfjwcNfxdMs1YMHDx48ePgL5JRVYjYaiQjwpfej7+FQ9IXeLaP6cOe4ARhkmXqnE1/r7+87dAbdBrhxIfzYNytZdShZf9Dw9PNXj2HtiRS2n85suKMOgd5W7pkwkBeWbEQAJpOMj5eFGoeD24b3xShLvLtOb1yJrI/f9eQdAHR88R3Us8TG4FZx2F0Kz0wYQcugQEZ+/iWldbo1tTgjhCToGRvJsZIiJEli7uQr6BPTgmUpp7AajPSJjqHvt5+gCo1wL2+Cfa2criylR2gUV7XtQrnDRlJlMVe37saQqAQqnTb6Ln/zzFXQD1NSMJv0nw3ImIwaitAwSmAyaMiy0pCKJtBjIwKzQcEg6REXo6RhNGgYURvsnDUsBgWB3oso0CSIsoZzffztyGgcrdyPnzGIfRVbqFbKGRY6ng2FCxCSCwkNk6w78D3beRlvn7oMRTiaCBcJDYNkxGKwgHCgCUG8zyBa+/Uh2rsrG4s+oVYpoXPAWLYXz0ERduJ9ejO15d/56PS11GsV7tPvHnQ5e8pXICFzY8IbeBuDeC95Ni5NRTSkzglAxeCuyxkedhXxPm35PudbKl3lxHi15LH2z533s3bvwVfJqMtDCFA06B7YkZtaXcKLJxaSXV8CgEuVkZD5ftCDtPQJO+9cZfY6Ht2znBOVRVQ57MiSRJ39bAMPCYMwICPjZzITYLSSUVGJdMZhrrEtlP5Y1e3RJfSGwnf27kePqCiGxyd4okIefpN/ZiTIgwcPHjx4+J9E0wS3frqIfam5mIwGbhrWyy2AAL7YsI/imlo2nkij1uHk1hF9uXeCfgd93rYDfLX9ALcN78O642kE+Xjz/BWj8bE0dfP69QLv1RmXMH1oD2795CecikqQnxeTendg2eGTDRvoBgfz772WHWnZ3DiiF9/tOoIQghqHA0XT+OV4Mt5eZjA03oi/b/RA9z58LRaq7HYQEORt5YOrJuJl1o8rt6qKarsD0ZDC5p5AgoOFBe6fFyedJLmilBd3bsapqvibzUT7+lFUX8ugmHhWZichBBwsLaDAXkNBfQ0gWJuTzPFrHyLQ7EXXwCiOVuS792GQJb0GSgKXEEgN/YAEAkWTMDWMk929fCSEkEEWCCFAMvFip7t44eSbDVvJKJqh4RoLqlwyLb2jaGGNI9+ezfqiNWhoIBQkWWFZwQL9OISMLElImsAg+1DpLOOW1l/xQfIdCOowShomyYomnGgoqMLM2MiHWJn/Dim1e3EJBVm2klV3EEU4CDa3xMcYTI2rmPb+ozlUsZreodeys/hrQDA2+kF2lCxCFQAaO0t/QsOg1xY15NUJJFR36hyoQmZd0RLAiF2TEWgU2HKbfn6FRnpdJpHWCHyNPsxOvJKnjn2AIlRMBpnpcaNRhEoL71CK7VU4NcV9vb/L3MZjnS4/73cjxOrDnGHX4tJUfs48jr/JygPbllGvKm6BE+njzbwx01iUcpwPj+4GI4RZvLm1c19e370NRdPO1kx6tAi98eoHe3YjSzLvTJjAxHbtz3scHjz8Fh4R5MGDBw8ePPwJkgtK2J+ep3eIUVTMJqO+aGtYsEnA6sOncah6xGDZwVPcO2EQO06l88rKrQC88PNmzmyy6VQqNkWlZXAAax65mSM5BZTU1DGyfSKKpmGUJW6a8xP7M3K5sm8X+sa3oHVkCCPe+JzyOhvIYJQknrl8FM8uXc+ezFxk4KkJwymqrWNragZl1fV0i4ti6dGTIIG/l4Wf77wBs8lARlk5FTY7wiDw87Hw4RUT6Rffssk5twgI4I7+ffnuyBGKbHWN59tQf3OmNmZLVgZB3l64NBUkqHY5CdV8+GTUZD48vBtVaG5xU2Q7kxon4We2uO2V3+g7laf3r2RfaRZGA3QPbsmRiuwGC2qBqkkYZH1RrglwKAZkSeBl0s4cCYomYZB1R7IJkUNp75+IvzGIakWvh3IKCYOkYWxICzxadZwNxZtJ8NX7RAmh6el9QnJHmc6k6jmECVQnb52+jx6BvXEIB0IYsTeYJBgkAxHWePoGTWR53hwEel2VTa0m3JqIhIyMkXifXlwa8xhZtUdYkP1Ek147kgTL89/CpTWmFypCJb3uCJrQY0AKMkJIaA0RIaNkxSUUXaji4oqYG1hZsBSbVs+yvJ+4LOYKfincwLys7/XqKqEbfs9KuI6Pez3NSyc+J7OugEePfoRZNjIr4TImxwygVnHwt6PfAxLBFr9zvg+fJG3m89RtRFr96eQfw5PdLiXQ4sVVrfSGpxsmz2ZbQQZP7l6DIgTFjjpaBQSzs6DR7bfEVsdbB3UB5Oas5qvup2TQNI383+hH5cHDhfCIIA8ePHjw4OFPEBsSSJCvF2XV9SSEBzN9cHe+23eE4uo6TLKMj8VEhcMBEkgq3D1W7w3z8jLdH0iSGkUDgM2lggzZ5VXsz8jhtm9+BqBPQgu2pWbSOiyEtMIyNGDdyRQeGD+YV9Zsptbh0BezZggL8GVij/a8uGojyHofoA+278bmUlA03Ujg5xOn0NBT5G4d2pdyWz1Xf/w9TlXFIEmoQiBLEi+t38LYDq25e2D/JhGpewb15/b+fbhtyRK2ZOvmBf/X3n3H2VWVCx//rbX3KdP7ZCZl0iaddAIJEIgJNSBFuqKIyEX0ioJivdfLVe8V9bVeUaSLBUQg0kR6EwghpPeeTMv0Pqftvdf7x95zZkISiJKQhHm+n88hc3Y766xZc9jPWWs9qy8lmh/91fd08/tVK5hSMoiVjfWgDdu6Wrjxpb/RmopjaUVuJEp2KMTnp87hqZ0bmFpczqfHHxssQApfX/I4y5qrCWuboRm5LG2oIWyHUXh4ysVxFcZzsSyFVmCMxlOQoXI4rngYazt2kvISdLkxQsrmzMEn8LvtT9CUSKEIMSyrmF09daSMBR6ElENYe2zo3IKtQsRNBhgP13RhG0MIgxWULcvKo9ttBxQJL0GO3X91EO2vvwS0Jpt4vO42POMHT0WRck4t+zz5ocHEPU3Kg7/W/ILV7f8gqqNBDfZNtjLGkMILAho//BqaMYG2ZBs17laiOotvjbsDrSzu3/UL1nUs5biC+bzc/IxfEqU4vugkHqn5MwCvNr3AuUMu5KGqRelrgh9Y/Xbb77m84iJqEzV+FmujcDyX3Ylmzhs6l3u3PYdWBg/DourXOb18GsODIXGdqTi3bnoRz4PtXS1s72rhqbp1rD7vO7xQu4nvLX+Gk0pH8N1jzybTDnPHuiV8duIsAK495ji+8PKjaDSOcUl4LoUZUVpiiXR2vf49Qb2G5ubutR6VEP8MCYKEEEKIf0FWNMzT37qa9p44pXnZxJIpfyFSBdFIiLZksPa3hhsXzuX8WZNYVlVDNDcCraS/8fesPTpTUArueG0pnvFIGo/FO6vwDOxobsUJAQraTIIrf/cXtja24OKlU1XXdHbS0NnNx2ZM4g9vrcQoaI7HAQhrheuBi6GiII9PHTedy46dwsMr16a/eXeNSQ85Wt/UxI4321hZv5sl1dVcOnkypTnZKODhdWvZ2NwcBHJ9X9VrlJ/aG+hJpTh1eCUrm3an66wtHscOKRw8Eo7Lf88+lQtGT+LSMVNYsOh2fr1mMSUZmfzXrFMZmpXHmtY6tNJs72pBaT/5glIGS/nZ5TyjsAAvmAejMbSnEnxm9Nls7arlf9bej4dmXO5wRmSVURtvJOk5hHWITCuzL+DAoAhTFMnljea3Wdy8jJBOENI2xmiUUTgeDIqU0ZisoyJzPGFnB62pBoZlVnJa+ZVYKsSLjX/BGENUZZHyEnR6KfBrBUvZNCWb+N2O71ISHk7STaaHs23pXEpY5+B5QV9TECB76TlGfjk9A0/X/yFdn45J0uG2UBIZwoklCzmh+EwqcyaTFSpkWetrnD34Ml5tfI6oFSXppTiz7Fw84zEsczCburbhGYMbTOwyxnDfjkfws8vByOgQKrIGc3nFaQAMySxCK41nPNpTPdy15VnebtnB8KwS/t/0T/XvqAEUrvGIuyn+d+VzVHW3cf/2Fdy/fQVPnHYNRRkZfOWNJ2iOd5NpRQhbFsYYXK3xPMjNyuAbc+aRF47y+WcewxiYXFrK1pY2upNJhubm8tU5c5ny61vJDUe4/bzzqG3v4PhhwyjKyvwX/prFQCRBkBBCCPEvioRsSvP8DGIZ4RDfOGcejyxdw+cXzOaRZWt5ccM2QpbF7NEVdCWSfPzuB/0TbdCu31ODHXzD7cLMisGsqK/j5S07yAjZ4BkcZQiFNGFtkXD9YWSuMWxobMI2irBtY4xH0vXXpcmJhPmPc+YzoqSA7z79UnoYUTQcIuY4ZFshblhwIt9++jl++sbr3HfJhUwZPIh1uxsZnJfN1vY2v89BgWM8Xty2HYC7315G2NYopYgHWb76hsP5zwxQlp3N7q4ujDL85O3X6P0avzcldFhZuMaQcB2++drT3L9xJZs6GmhLxgFDY6ybL776KIUZEeIpD61clAX9Oi78awWBj+MarCAI1CjKovmURfNoT3UBGosIc0v8IVnXjr6QsLYZkTmYcwbP5Vurf8qOnhoAPlJ6AnXxKlqTbQCEVQhb2yTdFJ5xsVSEhuRuQLGmYxWWspiYexyNiUaWty7l2YaX6HEj2MojL1pKd7KqX2Cg8X/bhi6njY5UB37OND+BQgiPHq8LjQ0YtOkNLVW/AXh7rh9kDFg6TNKJsya+hPt3/gKA84d8ls1dq7F1CMfzeGL3I0EJNBlWFl9beQOdTpc/pUsBxp9PpBTk2Rl0OilKowX8+5gLGZ87Ov16p5VNR6H47tr78TyPZ3evxKBoTnbw841P8LNZl/LL9c+wuaM1/cs69emfc1rZMezobE7/8n6+5hVeqduGazxuX/8mX5x0kv9OlSI3HKY9nmB4bh6XjJ/Mxx75I27Qu5gRDrHmc1+kM5GgPR7n1N/dS9J1aYr1cNED92OC6XiXTp7M/55x2r7/YIXoR7LDCSGEEIdIY0cXtmVRkJVBU1c3J/3k9vS+U0aNID87yl9XbPA3KFj57X9n7k/uIOW6lORk0djdjTHwzTNOIaQ133rs2fSxADOGlnP1Ccdyw+NPEk+42JYmLzNMUzyOUlCRkcfO9nbQELYsUp5HxLYIh2064n5P1biSIu7/xKWsb2jgM48sIuE4aFdxXMVQmhI9bGpsBvzbeDvkLwyUdF1Qqi9BQi9luHLqdOq6u3hm52a/t0v17SOYw+On+SLI0oafvKC3KyzYryzTNw9HKRQGbXmELZtROfls7qpPr7ejlb9e0KSCMi4cPpPzKqbjeC6bOmvodGIcVzh2n1nEHM9lTccmiu1COtwYQ6KFvNGylGUtG9nRU4dHkpTXjUeMXLuAmNuApQwp488/0kGWuQI7SsLrBGXQKCbnTWVr13KMSQF++GMrD4IEBgAWJl1+k84rpwhpj/S9WdAjdHbZdXQ67bzU8BeM8tDYOMbpnX2EVlaw8K1mQu4sVrUvI+Wl8IzCCX5BCo1rQjjGDeZVKTyjsYngECHmxglrTUTl0JrqRCnF/5v6TUZkDd2jzk5+/iY/g5yr+jLTGdAmRMJzcT2NZxSe56fYzrKjdMRdUp7fGM4dNpnHd67DM4Yrx8xiWHY+S3ZXM6lgEK/W7GRxbRVaKyylCLk2McdPyPA/c0/jE5OmYozh4488yOJd1ek8fHh9PamWVrxyzWcpy9l73pIYeCQ7nBBCCHEYlOT2rTNTnJ3F9fPm8Oiq9dww/wTOnDSOrU0tPLraX2zz+OFDiYZCPHLtx3lrZw3zxoxkWXUddyxewn88/xxaK/7vsnOwUXzzyWfICUf4/rmnc87v7iOFB2FIOR6NybgfbBiIWS4mDChI4KKMP6QsHnfojU4yQiFm3vZrLBSe66/xc+PcE3ituopNdc1YtmJ0fgHfmf8RrnrsEQwwrbSM3V3dQVY3n6XBUXDvmuWELb1HADS+sJiLJxzD9xa/2Fc5wRwPrRUR2yLmpoIdiv7ZAXpjF4PC9RRGwYklY9jcVZ8+zAAJk2J5axVr22t5tGoZb7fu4OrRc7l+wunpa61tr+K2zX9ncn4Fz+5eiq0tPjViPjdt8oPTPDuL84Ycz5uta/whd8Fr24RocjsxRIlafipu1xgUHijNsMzRbO5aAUYR0dlcOfKr/G77L1nVvjjoybGI6CTZVgHdbmtwx276vU0VJPUGL0iCYGOjVBJNiLZUO682LsLFYIyiMFxGQ7IGY/xA1OCQYWVzbMEChmWMY1nb4nTdaePhocnWmaQ8i07TnZ5ro/BwTIqySBnVsVq06otMDYYHq57kK+OuoSPVRX4oB6X6hjxqZfxU6vgpxj1cf26W9t+xUgbPU3Q5cZSt0K4mrDWdKX+eXNSyebNhF/duWIoBXtm9ldPKxxEJ2SQcB88YMm1N3IGhOXlcOG4SHYkEp//pXuq7usDym0lIaxzXAz9WwvUMp9xxF1+aM5uoHWZCaTFzhu+Z4EMIkJ4gIYQQ4rDqSaZIOA4FmRn73F/545/2PVHQL1EY35s/n/969gX/SRB09MYeBsiPRPrmJgFfnH08ty5ZgqsMODB10CA2dzbTk/Jv7Edk55OfEeX6E+bw+q5d/GHlSrRSPPfpq3ijuoobnv2bH7yooPvFA0spHrjgEq568hG6Usn+U1hAwcjcAiqLCrC0ZlrpYH6w5KV071GGpblo7GSWNdVS29NO3HVwjSHlueRHohjtkDQuSc8lwwqhlEvc8xc4NXhYtpsOVHSwOKpWGmNc0Ib8UCYvn/FNtnY2UBDO4vNv3cbOnkZs5aG1QaMxONjaS19nSl4FW7q3YAVdC0oZrH5T8iNWyn+LyvhrD6kwrrGxVBeu52HrLK6v/DK3b/sBHqngGgQ9NWArB1sbjNHYKhXEHEEARFA1BoZljuWqUd/hvh0/Ynv3OozxwyQDjMiayK6ejXhBlj1jINPKI6QzaEk19kuV7QcovUGWPydM9+vBUUHqbRsLi8qccYBiRdtWFJorhp/P8/VL2NlTy6mD5vD5ysvpSHRy0eu3EHOTOK6/OKvn+V17ngHHKDQWjmfwPD8Yrsgsoqq7A60U2XaUlliSc4ZNZF1zE+tbGwAIa4sXzruWVY313LbqTVY17eabs07h6knH0hTr4aaXn6I7mWR5zW48z6CMQgXzmTJDIbKxaYzF+v4WAMtThCybJ6+6ghGF/ZNXiIHi3XqC9L42CiGEEOKDkRkO7TcAAhiZnw+QvkkG0kHG9vY2Fo4dQ4ZtM3/0KM6fNCEdCOWEw9x90QXYwbFzhg3jyyedyLHDhvjnh2FESQFx109jrZXir1d8AjuqufrJRdy+cikLxoziz5deyoMbVlPb1U5I6z2HrVmGIXk5TCgpYcGIkXukMe6dJ7S9q4Vnd23l7zs2c/eapRxbNiR9SMzz+P3GFaxraaAtHudzk2aTGbL9tNrJBK+c++/cOHkexvV7ubodF2P8XhjPKFzH5qSSsViE8TyN4yo8TzMhbygZVoizh0zl4pd+w6Wv/JpzXvwprckePA+SrhXcsHv+Oaav80kRxvVskq4mz84n3yoi5lq4QWARc2zirkWPE+HCwZeT8ix63CSdTpiEidDtOvxg4/9jWGZlkOTAChI3aByjiZswcTdE0miSnoVrolwx/FvY5JPwQsQ8ixSajlQ3y1tfZ3v3WgyeH8QEwczO7o3+GkZBAOQBXW4HLamG9Nyrvli0d6Cd/6OlDBYuGhetXPw+HxfHJFnfsYG1HeuZXlDJj6d+kxl5E9nRXYNrPN5sXgVAbiSHswfPxNYeWSFDSCtsy6CUH5BGtOLmyefxtYkLOWfIZH426xImF5XhGo+U59KS7MbTDsvbdnHbyR/jgpGTmFk6hJ+e8FGGZOVx1oixPHruJ9l21Vf51ITpJFyH21a+yT9qdvJ2Qy2e9kDDR0aO5OrpM5hYUsKd557PKaNG0u/tQtBO+qfuEKI/GQ4nhBBCHMGeveYz/HXdOm78+9/7z68nZGm+duJJhO09/1d+1rixNHZ3c9mUKcRSKSaMGMTWtmY+O8f/MvSW007jogcfQCnF9bPnMHfECB5cs5ovHHc8OZEIaxob/JtHBU9u3cizVVuIOX7vy+kjRvP0ti3pr1CVgrqeTu5a+TanjR5DViTCk1s3Migzi4ZYDycNqeCJHRvTZQtrix/OPYPmWIzL//5AMKSsl2J9cx0FoUwcz/DRERPIi0T5w6ZlGBTJ3gx2OrjPDdb2ebF2G9ry+780fo9LdVcHg6Nl/H7rW36wAFja0BCPYymNAuIpO91rlvJsQpbm3CEzKIpEWdu+jaSxqO5JYCkHjxCuF6TiDu6ww9pjeuE0Hqt9khj+IqBO0DOh8WhMOPxk2r2EVIg/7rydxc2vBinRDZ5SaAOOskm68ELDc3R6PfROlnIN9HgxHq29F1tFybGz6Uh1kDJJvw787jg0Fi5Ov9QJ/u+kJFzOrML5FIUH8cedd9Lj9QQ1HPQUqt6+J8gL59Gc7MAoMKSwiLK6fQ1fW7UGUEQsP4T65Ijz0q9xZvksnq1fSlhrpudP5Om65RitUcZjdtFozq2YmT72tGd/TH28E6398lZklbK1o4mLhk9ndWstj9esAhTP1GWzcPh4Ym6K29YuxvE87ln7Nga4buJsQtoi7qZAKaJhiysnT+PTTywC4KrHH+HB8y/hoXXr/DdowFKQGQnzs48uZKT0Aol9kCBICCGEOMKdP3Ei4ZDNM1u2cPrYUaxpqWdMQTEb2hppTcQZk1fE4OxcABaM7svotbyhjo0tjcQch9uWL2FexUgu/9ufaVRdZNthcqNhSnIzueeCj5FhhwD48YIz+PaLz9GWiHPR+Ek8sGm1P8fIM2zubAKrd8EWha39aOi12p3ctvpNjIE7z7iA/GgGYwuKuOGlvxGyNEnPI6QVowoKWfDw3QBMLS5jR2cr7al4+hb+6apt6bLfMucsjDFcXjmNX65+jbibwhgFnj8oTOm+OTXGA5Q/tEt50OD00JqMg+4bHBhRYYZnFtKcbKM5kfCzq1kuWhkco3EdeKJ6JdePX8jHhp3CX6pewfMMCeNnbHMIEbX6ht+lvBDfX3cPP5/2Y656+4tBqNUXjDQm2gnrMABXjLiW0vAQFtU9gEGRcBVGaexgHs3azjUoNCHlpziLWhl4GByTQhHmpvG3Uhfbye93/JSmlJ9yXAMuLv37e0ZnTuQzo75J2Iqky3FM3rFs7lpHhCgP1txHXbyOlOcE50K324GtjF9+owhh4ZAi3YOk/Hpe37GGUwfNBqAyZwhZNsS9GDt6tmFrf7xfUTSX/5h88R5ttzMVw9IOllaAy1eOOZmna9ZhW4afrXkx3U/zZNU6nq7ewKXDZ/KHTcvxMGijMZ7CUx6VhQWsaW4AbZhSOoj2ZDL9GnHXIRoJ8dyVV/I/r7zC+RMmUJSRycRBpeRFo/v8mxJCgiAhhBDiKLBwzFjGlxQxf9FdGNM3ad9Smgw7xD8uvpb8yJ7D6iaXDGJQVjZVHe1cMWkqSdeltttPZtDlJDn70ftoS8QYX1DKX8+9wn+dynEsrByHMYbljXU8uGONv9inBTu72jAhPwhSGiKWRcJ1eLuxxu+d0hbXPvdXHGM4dtBg/lG70y+IghSGl2u2p8u2smk3KPjT6ZfwX0ueY0t7yx7D6VY31fHJ5x6kLRnrvQRGpwd24Tn42di0wnMVSnsopXDwezpSrsH2LFAeGVaYxlicxliCmUVDqe+pwhgPgyZk++GLARKeh2cMnxl1DlVdXbxQvxLbcoL9mpTnEeoNrJRhR3ctT+z+B12pMJZyiVj+tTwUk/Mm4HouLh5hHSKss0h5Fgq/M0+hcFCEcIOFUTXRUAEJr4uE6ydTwFgY/OC0Kd5AY7IBpTTgL1raFwBpcq1CtvSs57/XXct3Jt5GxPJv/i1tMTRzOLesv5EetwetNBnaYmzuLECzsm0FSqVQBoZmDKEicxQvN71OemJNMLxuZdua9O/GMx4xtwvwaE028dBJ32VzZw0zCiqJWKE92uAxBYNY3roz6AWD/1z5EB0JF69mDRYKpZQf3OIv2rq0aVfw3gzagrxwBguGVfLrFUvS19zW0co5lWP5jxefoSOVRKHY3NLMwspx3HnBBfv46xFibxIECSGEEEeJ1+p20ZsyujetshPMtWhLxPcIgla31FHX3cFzl14Fqq/X5oTBFbxeu4vjy4byVmM1rjFsbW/mCy//lRPLKvj4uBmAH0js7u7L/rbnmkD+4po9rp8kwNYWs8uHUpaVwyNb1pL0PKq7OvoKrvwECgbw3pGQaWljLZMLy/wgqN+LffKZB2lzYnu+vumb4aGCFUWNgYi2AIuk55ATDpFwU36CBQOgcTwXrf21cKq6W/uliFZgbMDv4QkRZmlTNevaFvH87vWkjD/B37L8OUgJ18LWLpl2yl+kFfhr9Ss4xsIxCkWKkPII60yWt23n4je+BHhcMmwhp5TMxK3yA5jeCdkKzaTcY1jbsRIXTUuqi7AGRZKUk0QrAzgYDH+o+lW6DgAm5MxCa2iO76YwMoj1ncsASHg9/KXqNmYXLWBV+xI2da6iJdmQHhboGRelNCWRfHZ2b6M8OojqWDUZluLaUVczLGskpaFSHqt7iuJwMTWJejw8Ths0L/27CGk7nXLdxSEvlMmc4gn7bLNDswpZ215NwvPnMJVnFNCdavSHBQKRsCKe0Ok3trGzHmUFw/WMptOLcfPbz/Cl6Sfw46WvAoqfz1uI1pofnnomX3r2SaK2zbRB5Xu99jeeeYa/rlvH1TNnctPcufssnxi4JDucEEIIcZSIOylmPfArOoNvv7WCsfklXDZ2KldOnJE+bn1rAxc+cy8KxWfGz+IrU+ft83pPbNvAnzau5I2GHemEB3d/5CLmD6sEwPU8Tvzzb6nr7vTXtOkdChc8IiGblHHID2UQS/nzNTAQd1zOGz2B2WXD+NHSV2hNxPjMMTNRRnHPurfTc47AH9altQom+Ht7lM+2FM47tvl5tf0CqHSWuRCOMXjG45iCQYTDsKKlOghy/F6zWaVD2dHZQnOyEx1kgr5q9Bzu3bo4yCzX9+oRDSHb4HhuOuiydF9CiJxQCHQ3AOeUz+aFxrcwxmCME/Q8hQCXlHEAQ3EknzuO/V+2dW3j1cZXqcwaTVV8FycVz2Vo5jBuWnE97U5b+vq28tBYjMmp5Piik3mi9iHaU81YKhh0p+CY3FlcPeqrANTFdvGTTTfRG0goeudaWf3q1ACa4tBQHByakw1+mQHP7J0n6xMV13J80cksa11Ct9vNicWnYIzhsdoncDwHRTaLap5nwaDZXD3qQj/QVMpPs91Pwk3x/O41aDQl0VymFAxj1lM3p3t/jDFEVYjOlJ/+23E0oIhoG9exSLkuEwpKeWLhZ/YqI0BbPEbUtonae/ZApVyX8b/4hd8+bJs111+/z/PFh5usEySEEEJ8CETtEKuvuOE9j2tN9KBQJD2X3f3W8nmnc0aNZ1ppOSct+o2/wUBPer0esLTm7Mox3L3xLfD61v7JtSPcMO0kvr/0BYyB1lQMbRQhZeME6anXtdTzi3nncNm4KcScFJkhf37M5OJB3L12KSub64FgaJgxDM8pYHtna7/SGbSnmF1SQVY0xPM129Lbg1n82GhSnsFYBAELrGzZTdTWpNxgsSQ0Siu+M3Uh5z13B66x8DxD2Nb8bssSnKBXKEoIdAp/qJnm/KGzeLhqMXt/WayYXTSBT406haJwHoWRHM4sn03YClHVXcez9W9wetkc/rDzUVqSbYS05pKhCwEYlT2KUdmj9vo9fHbUdfxy00+IeY4flGg/EPj48GtZVP1H2lOtgD9sTGuIqgzOHXxF+vzyjApyrVw63PY96o93JE0wGEqixdQnGvB7FEETwjNuv3P84/+463Yy7Rx+t/N2jIG2ZAur2teztWsX/spDms+N/iRzS+byo/W/5u22VWTqLH4x47/JDfWtjxWxQiwcMh2AmJugKeGXUQVBt1YmWCPK9nvjLMNp5ROp6mmhuqeNk0smcuOUUwBojvdw1fMPEnNS3DX/Yipy8smP7juzYsiyOG/8eB7bsIGPT5myz2PEwCZBkBBCCPEhM2fQcL4y9RS2d7Rww5ST3/XYIVm5fGzUJJ7csYF5Q0Zx9vDxe+x/dOfa9OKZKpiI9MOTzmRyUTk/XP4yCdehMJzBCeXDKc/MJeE6vFa3k5tnnwr4w9Z6AyCA8ysn8XLtdla11Ke32VpT1dXOO+ONJIY36qv9oVEa0JBh2XgYEo5HygVQOA7MKRvB0sYqFFCekcv2jhZ6b+jD2mJ9az0pR0GQGS0zlEmn15V+rfKMAuoTLRgMlwyfxU0Tz+LcoTO5fctzZNtR3m7eStzEWTDoGL4+6UKsfj0e43KHAzAyazAnl/qZ0eaW9GVIezfGGF5oeJ0er6/XRhkPraAkMohJedNY074MA5RHR/G1Cd/fq7cFYFbRfF5seGSv7SoIbHr/u7lzJXOLF7Kqw2NSznHMH/RR/rjzt6zpWEb/IAjANS6Ol8Lg8XrTqzQl2/Gw8ANFl3t2/o7hWSNY1rYagB6vmy8v/w5jc0bx1XHXYWsrfa2WRAcff+N7JD2HDFsTd6LpeW0qKJsBMsOaT4yZyTWvPUDcTfG3ulWcN3IigzJyeHLHeta27sYzhpveeII/n94XCO7LTxcu5CdnnZVut0L0J0GQEEII8SGjlOIz44874GN/euJH+emJH93n/pPLR/Lkrg0Mz8nn0srpjMgpYEEwXO6tS/6d9kQcpQz/u+wFsqI235o8711vOt+qr2bR1rW9rw6AhSbhOX0H+Xmc+z31F2b91Skf5ZwR43GNofK+H6f3O47HTVNPYWhOHssaani7vob7upYSc/wejktHTWPR9tX9FpRVDM3M55Nj5vPt5Y+TYYV4cN5nWdtWg1aa40v8NWfG5w3mpzM/dUD1+K9qSDSyuGUpnvF7bfweEs3FQ/wsaycWz2di7lRAkR8q2G/dnlV+ObMKPsKvtnyLHreTCTmz2NzlzxM6vugMAJa2vMSE3Om81fIUrnGxVILsUC7XVt5EVc8OfrLxm7h+qj1GZAxnSHQoYe1nYYu59WTZFj2OQ9L4Qa3G4/vr/hOI4s9wUnQ73azt2MjW7h30OHHu2PoA2XY2ZdEROMZBK4jafhDlpx032GFIpjQKRUV2PhPyysi0QsSDuV1fWvwwPU6ST4+e4ydNULC8qeaA6lcCILE/MidICCGEEPtljKGqq43yrFxC/b7Z7++6Vx7hmapNhC2LjwwZzQmDhvOJMTP2eQO68NF7WNfS0G9LkOBgjxft2wWkV4l94OzLcVyXv2xaTW1PO0uDG2ELxX2nX0qGHeLCv/3B71MIOksspfj8pNnMKCnj6lcfAgw54QjPn/M5iqPZHG6O5/CtNd+lLlaHDub8fLnyeqYXTv2XrmeMwTFJQjqSHuamVd/vbWf3Bu7ZdjOgmFd6EfMGXZje1+N08ezuRXQ4bZxVfjFdTie/2Pyfe1xf4ZF0wSNKSGcRc3swBk4bdDbrOrawrXsrSinChOl0U7jGwhjF5Lzp/KNpPWDA8zAmm7gJMu8Z+ELleaxo3cU/Gtcxr3Qi80onc+OSR0l5HgqFZwwVWQUMDZfwat12Fg4fz//NPf9fqiMxcMicICGEEEIckG2dDXQ7cVLGI+m5HF80ioqcd19ssjKviBdqNHHX4amqDbxQs5myzBxOHTp2r2MnFJSwrrUBDOSGonQ7SVwM2kB5Vg41/TLS7ZkTQXH5kw/sER9dNflY/rRxBQpFXjjC5vbmvqODXh/XM/xq1RssGFbJuktuQilFxPJvf9qTcSw02eEwh4utbW6ZfDMxN0aWnfW+r6eUIqT8dYL6Bz+9hmeN59OjvkOX087E3OP32JdpZ3Pe0E+mnxeGSwkrRdL0JVewMGTahjw7h5mFC3mk5kEiOsyZZWeypPV/gw48Q5IEYQ2u8XA8mzPKZrGkxR82Z1mGWKoHZcIYoCiSzcdHnsg9W18i5bk8v3sNrzfsRFkJMmzNjPxK3m6q5rrxJ/GxEVPpSMbJDcv6P+L9kSBICCGEEACsbqvi2jfvxPXAMwpLa/7jmHM5Z+i0dz3vxikn0xDr4i/bVoIyuHhkhcK4nscZT9zJts5mJheUYdDk2BG0VuRHojx21qeY+7A/8d4A7ckEZwyr5OldW97RNeTrv8kYuGLsNI4tHUJZZg7HFJcRsWyGR/PY0dnel05aG4yCtc31fPv1Z3h4y1qKopl8YerxfHfpCwDcNf/C9BC/w0ErfVACoAM1ImviAR2nlWZYxhCaEjUYbLrceNA7p+h2Wzmz/Gym509hUc1veb7hAT494pM8WPUQVT3VeMFirLZW5IRCzCicjB0scKuUISucojI8gvZkDy1uIwtfvpGZRdN5fvd6LA0VmYX0uCkKwlnccdLH95iDlRfZdzIEIf4Ze8+sE0IIIcSA0u3E+fqKO/mfNQ8A/tpDHh6u59EQb3+Ps/3ehy8cc0J6Gk9uJMycQSNY3lTD1o5mDLCqZTermmt5o95fDLMtESdkWcwuH0ZveNOVTO4dAJm+BVLBT4wAEFKasx6+j20trcwcNIRtbS2c88h97OjoCLLHBed4CjxFXXsXD21ZiwGa4j38fsPy9DUf2rL6X626D71rRn+Py4ffxA1jf0amVmg8wHBO+ZUAPF3/J3b0bGBZ68tEtct3j/kvRmbmEVEOSvkx05CMwYSUxYy8CjKsFGEcbGUYnRulxa0P0ix4bI9tIjcM2kpSnAW/Of4KHpn3hT0CICEOFukJEkIIIQa4Z+qWsrx1MynXY0xOBXnhHJrinXSkujmxZPQBXaM8M5eSzAy6nSQTCwYB/hpGIctf6wU/MRuWMZRn5nLhqGO45Ok/Ud/dSVYoRHfK8e+YexOUGcADZRSF0Qwml5Zz1shKLhs/leX1tVz+xIPEHYeXq3fwxZlzqOsdRrdHgjP/LtwYsDQYFzxtsLXmphknc/2rj6OV4otTTjio9flhErEyGJfrr0F104RfUdeznqFZk3mz6X4WVb1GsT2aiNKgDMWRcta0v0lTsoaIpQgZB9covlL5ZW5Z/y3qk7vIDVl4aByjWNu5koJwBi1Jf7jd7KJJvLh7HZ6bYG37Vv64y+Wn069jWcs2dsdbyQ/l8r9rHmdG4QhunnL+PrPkCXGgJAgSQgghBqhHa57miZoXaU51khFSQBZDssOsbFtNyvOIexY/WH8/43OH8vHhC6jIKgX8yfcNiQ4Kw1mEdNAzoy2+M/N0vvHWoyxp2cbER77PA/OuYtXFNzD5wZ/gBPNKHDyOKxvChZXHcOvqxbiehzEuvf096WFs/XqDWuJx/lG1g9xQhP97602aYj3MGTqM3d2dfHv2PADmDK7g36bM4q5Vb9OTSoEBbfuXmVRUyoamJj+zmAf50QwWjhzPwpF7pgMX+5f0Yvx5+zW4JoXjucTTv6A3ybEh2y4mamXwasP9RHWKmBdCK8XgcBGP1d1BbXwXGghpj4SnURhSnsOE3HK2dFaR9BzebFlMNGRwgJgL27t2s7GjhhuX3QOAZTJpTvbQEOvg9PJJnFQ67nBVh/gQkCBICCGEGIDibpz7dy0CPDJsg2dsvjruUu7Z/hSOcVFAWFlU9dSzs2c3W7pqObF4Kvdse5bSSDG1PR0MiubxwElfImKFALhvy5skgoxfjvG4c9Mb/HL2ReSGw7Qk4sErGx7bvo62RIyfzz2H7y15gaZ4N2Ft8YM5Z1KakcXP336Nt+pr+5XW4BpoinXTEu8h4Tpsbm7mk5OmMa20DACtFF+ZNZdsO8L/W/IPUp6HF4exhcVMyC9lY1MTGLCU5oyRYz6wev6wSLrdpEwcz6T8YBIbCw8XC1B0OU2saH2K9uQ2MrTFiKzRXDrsy/x88xdY3V4FZNC3GpCiPDqY4VmjGZ8zlm3dOzHGxfEcPAyjsssJqyI+OfI0Ym4SBTjGZWhGLm2pOA4OX112P9+fehGnlh9zOKtFHMUkCBJCCCEGoLAOUx4dRH3CDza0cni16e/YuonCSA95djFtyQQNcYhom5JIHg9V/QMPQ1V3CwZFQ6KdpkQnQzILAbhw+DRWtFSnl/m5bJQ/jMpRXnqIm1b+9SqyC6juaqMoM4OKnDzmDh7JeaMnopXiD+tWolHpNWFUML9nclEpuzu72NXRRm1nJ7946w3GFxXz8o4dlOfkcM30Y6nMK8JL+ZkWlFJsbmmmqqONEfkFRG2bW+adwaTi0sNR5Ue17FAxJ5f+O9u73gDjUN3zJrbyiHshkoQYkz2X0ugoLK3J1oaF5ZcHKdL9hV9z7RhxL8SYrHF8bsz30tdd0bqEYRmZ9DghyjNG0pBo4coR53P/rod5vPZRvjb+C3x53Dncu+MpapPbOXPwDF7YvYmk5/J/G5/h1YYN/Ofk87G13NKKf46sEySEEEIMUCkvxTdWfYfdiUY0HpYyJDyb3kk1STeMaxRzimbxpbGX8eddr3L3tmcZlzWM+kQPJxSP5WsTz91jPaCYkyLpOmTYIcJBEoNnqzfxzSVPMj6/lO/MOJ2qrjZqujr4zpLnAL93ZvFFn6ckw8+Q1tjTzc+Xvc6EwhKKIhnc8uarhLTmjjMvID8S5ZTf30VnMoHWinNGj+NvWzYR0ppbz/ooWmn+7YlFJL2+/NoZts1vFp7LKcNHfkA1e+RJeTFsFT0oi4d2pnbz8I6rcIw/DyukXC4Y/iC54WE0J6oBKIoMBWBR9S9Z3/4mo7NngApxWtmlFIb9OWMN8Tp+tOHruMZlfO5Urh39NQC+vPw/2B3315IyaMZkj+Gt5nqSnktFZhlFocEsb9lBe6oHpWBK/jDunn2tLIwq9iLrBAkhhBBiLyEd4tzBp/JwzZ/odgyaECn85XnKIoNoTiZQKK4YcQZRK8yVIxdw5cgF73rNDDtEhh3aY9tpQ8dyWr81g8bml/Cb1W+k5wBFLYucUJgfvfUyv1n1JuVZubxy8TW8sGs71z//BBhDth1h/p/uJqIsEo6faMF1DYUZUUJaY4DCjEymlA7i52eczeaWZo4pKWVHexvFmZmcXDHiINfe0ePFuv9ma+fzjMyex4LB333f18sJlfGpysf5w5b5eCaFjUdXqobc8LB08NNrfukFOKnF2GY9k/IvoidVlQ6CLOUH3FpZhHX/tZr6vqA3xrC1azvjc8awqXM3nxqxgAVlM/jWij/zdN0qANa2VbO0ZTuzika97/cmBg7pCRJCCCEGMGMMm7o2EFIhkp7DsIxhxNw4xdGiQ/q6Cdfh16vfoDHWzZemnsigzBwq7/kJKc9fXwbXT5WgAW0slIGU6/kZ4/qlzP7bZZ+iqrOdkswsppeVH9IyH63u3vQRPBxAcfWYlw9aj0l19yssqb+FougEZhRfQ1iVErLy0bova9vihl+xpu1BjNGAhVYWpw/5PsOyjgNge9cmamI7mVU4l4jlL4Dakezkx5tupTPVTW2siXE5ldx8zA17pMpOeg5Xvv4btnbWo9H8/sTPMyqndJ/ptHtSKc598h56nBS/O/VixuTLcMiB4t16giQIEkIIIcQR4fK/PcDrdbv8J25fsHPJmGPY0NTEmsYGjLtHDmy2f/Erh6GkR5e3m+5iTdtfmJj3MWaV/NtBu25PciOJVB2rGr+MSwxjDJYu5JSKN9KBVm3Pcp6u+SquZzBBr88pZV+jMvfUA3oNz3h7pMLudnqojdUzOns4GzuqWNVWxdCMEm5e/RfibopbZ13NlIKKPa5x8iO/YVdXG36+dDiuoIKNrc38+JQzOX2EJMn4MJPhcEIIIYQ44t2/8DK2t7fw0MbV3Lp8SXr7CUOH87dNm/GzbPcFQGePqvzgC3kUmll8NTOLrz6o1+xJbmTt7vPxPA83yPimgJTXRtJtImKXEHPq2Nx8E4PtVpIeWKGZlGd9hFE5Hzng1+kfACXdJDeuuJkeN05FxjBWt+8m4XjEPY1rFI6xeHb3qr2CoLpYB367UaAMy5pqcVzDL5e/IUHQACZBkBBCCCGOGCPzCskM9ZsfYuCulUvpTiXpDYCumT6TkGXxuZnHHZ5CHibdThe3bf0xHal2Ti75CCcVn5EeQvZBS7r1+EGFg2UUrtEo5ZFjDSZilwDQ0P08CacRY1JYSmGcZUwvugOAuu6XSHptDMs+B60O7Ha0243R6XTjGpdtXdV4notRFhHL4BlFHMW5Q2fudd4nxkzn3g1vAxDWNoOz8tjV2c7l46ccnMoQRyUJgoQQQghxRAlpa4/nqxsbGJSTRTLpcezgIXz9hJOx9N5zPz7MtnRu4rndT1HVvR2jkjxRez+vN/2FyuzJXDzsRmwdeu+LHER50bkMzr2OuLODkqzLqW75EtrdDmyitetBCrIvoThzLlvbbiXldeEZGJp9Fjtbf0XM7WJLxx9RGJpjS5lR+v0Des2CcB6XV5zPkpblYKKsaN0UpEL3VyCyFYzJ2Xte2M3Hnc4NU+eScF0KohnYSpNwXaK23AYPZDInSAghhBBHlKTrMu3eX9Hj+L0/ETQLK8fzswULD3fRPnCvNLzGXTvuwlZ+yu+wcojaDmDIUEmiVoRLKr7C+NxZH3jZjPFIxJ8i3vN3OmMP4wJxA2F7LKPKXwqOMfRme1vb8G+0xl4laRQJY2GAsFXCacP9Y5NuO65JkGG/d+KCxkQrt215gLVt1bQ7McZlj+RHU64l3L8XUQx4MidICCGEEEeNsGWx9jPXs7apgQw7REu8h+mDBh/uYh0Wj9c9SW8QoRQ4KLTxQBkMkPIcyqIjSLhdxJx2tFLkhj+Yuurpvo/Oju/hmRgag0bhAJmhvntOP0GCP4xRqzAKiyhxsrTBRVGYdToAHcltvFh9BQaXWaU/YEj2/Hd97ZJIAf856bpD9dbEACBBkBBCCCGOOEopjinx15MZTeFhLs3hc2rpfP5U9Sc8DNpARDtoZVAYtDJkWD38aefX0W4dlurCUi4hBUMy5zBv8I/QynrvF/kXGa8djOuHOEqBMdgqSmHevjPQjS3+IfWdD1Hd9t+AwjIe2cEwvrbEOsDgmRQNsTffMwgS4v2S4XBCCCGEEEeAzZ01ZNlRBmf4azQZY6jqqSWibZa1LuXv9YtwTReZ2gEFGTpJ1HIAyFEJojqOrVws5ZKhHDKsDEImRp49mRlDbsVSIbQ+eIkUjInT1fbf6NiDeHio8HFkFf0BpfY/P8kYw9u7puPSBmimD1lG2M7H8Xp4s/7rJNxWjh90C1mhofu9hhAHSobDCSGEEEIcwf5eu5SfbHwEgKtHLaAt1cxbLW/T6bQT0SEqsmwSXgL/1i2FhYeFh2cMIWWwVRJbuYSVi8YfQGeZNjyg3V3MW1WTCWkozDiHUcX/hzFdNLdch+NsxiaT/II7sULDSDRfCl4j4ZyvYHpuB6sSldqAsoegCn6DUhnpMisVJSvrEhLxv6JxsOyKdw2A/HMUMyqWkHCqiNojUEFPla0zObH8/w5J3QqxLxIECSGEEEIcZhs7q0l5DkoZ7tz2JGErSUS72BqSJkWuXUKn04kxLpZyyLS60ApAE6Xbz5BmQKvebGk+pQwKhYtFCJeW2ONEW7PJi0wknngFSGGA9uZTyM26DpwVALgd30aTBGcrYCDZAIlXIXr6HuXW4emE8n+IcbZiZx3YWkRahckIjT44FSfEv0iCICGEEEKIw2xa/mieqF2MaxIYQGPw0DieS0QrFpScwdK21zl/yGVY2vD32l+yq2cNGpew9hcrTWBj42IZUMoDPDSGMG7wKgYbl7buv1CS/Uj6te2g78jTueltRpeDVwcqAiYBKgShyfssu51x7qGqFiEOGZkTJIQQQgjxAdod6yDDCnHbphfpTMW5qvIEPvPmL0ElsLWfUjpiOYS0nxY7106SHYoBoJXm1hn3kfLi3LXlGmJOLZlWKn3tUt3uJ05QoFSKfJ0EQOGSqRzCSpEbXUBF6b24bgPNu+egVQJFNoXlq3HjL2PcanTGJ9GmGnQJkAAV3WMonBBHg0M2J0gpdTFwMzABOM4Ys8/IRCl1JvALwALuNMbcEmwfCTwAFAFvA580xiTfT5mEEEIIIY5Uv9/6FresepaoDVo7uMYj0w6hAMfTWMofEmcFabEjShPRccAf5uYZPzAK6Sinll3Hc3U/ARoAhcLDGBsVBEU22WTbpXjuOpRSlGZfR0nO5YTtEQBYVimlQ7ZijAlSWYOdcWq/0g4P/s08tJUixGHwfofDrQE+Bvx2fwcof8bbrcBpQDXwllLqMWPMOuCHwM+MMQ8opW4DrgZ+8z7LJIQQQghxRHqhdiMpz8VyNSFtsLXFMfnDOH3wBG5cfhvGgKWMP6fHQEE0E5d2PGPQwJjs8elrVeaeQGXuCaxrW8RbDb8mRALLUhSF5jKu6BqKM6cB0BH/B8akyI3OSwc7/e1rmxAfdu8rCDLGrIf3/OM5DthijNkWHPsAcJ5Saj0wH/h4cNzv8HuVJAgSQgghxIfSjcfMZ/dbjzIur5Rrxs0m5blMK6ygNtZMSBuUMqAUCc8irB3irsfMghmkTIovVn6JsBXe65oT8y+gInMGL1ZfjIdDnJp0AASQGz3pA3yHQhwdPojECEOAqn7Pq4Hj8YfAtRljnH7bh3wA5RFCCCGEOCwmFwzmqdOv22v7b7c86adCCL5X9mcGKTqdHq4f++X3vG5WqIKhOWfTGFvMpMIbD26hhfgQes8gSCn1HFC2j13fNsY8evCLtN9y/BvwbwAVFRUf1MsKIYQQQhxyswrH8mrjCn/YmzJoDArDWYPmHtD5Simml/zXIS6lEB8e7xkEGWNOfa9j3kMNMKzf86HBtmYgXyllB71Bvdv3V47bgdvBzw73PsskhBBCCHHEOGfIbMoiBTxQ/SJFoUyGZxVzatnxlEaLDnfRhPhQ+iCGw70FjAkywdUAlwEfN8YYpdSLwEX4GeKuBD6wniUhhBBCiCPJscXjOLZ43OEuhhADgn4/JyulLlBKVQNzgCeVUk8H2wcrpf4GEPTy/DvwNLAeeNAYsza4xNeBG5VSW/DnCN31fsojhBBCCCGEEO9FFksVQgghhBBCfOi822Kp76snSAghhBBCCCGONhIECSGEEEIIIQYUCYKEEEIIIYQQA4oEQUIIIYQQQogBRYIgIYQQQgghxIAiQZAQQgghhBBiQJEgSAghhBBCCDGgSBAkhBBCCCGEGFAkCBJCCCGEEEIMKBIECSGEEEIIIQYUCYKEEEIIIYQQA4oEQUIIIYQQQogBRYIgIYQQQgghxIAiQZAQQgghhBBiQJEgSAghhBBCCDGgKGPM4S7DP00p1QjsPNzlCBQDTYe7EB9yUseHntTxoSd1fGhJ/R56UseHntTxoSd1fOgdSXU83BhTsq8dR2UQdCRRSi01xhx7uMvxYSZ1fOhJHR96UseHltTvoSd1fOhJHR96UseH3tFSxzIcTgghhBBCCDGgSBAkhBBCCCGEGFAkCHr/bj/cBRgApI4PPanjQ0/q+NCS+j30pI4PPanjQ0/q+NA7KupY5gQJIYQQQgghBhTpCRJCCCGEEEIMKBIEHQCl1MVKqbVKKU8ptd9sF0qpM5VSG5VSW5RS3+i3faRS6s1g+5+VUuEPpuRHD6VUoVLqWaXU5uDfgn0c8xGl1Ip+j7hS6vxg371Kqe399k37oN/Dke5A6jg4zu1Xj4/12y7t+F0cYBueppR6I/g8WaWUurTfPmnD+7G/z9Z++yNBm9wStNER/fZ9M9i+USl1xgda8KPIAdTxjUqpdUG7fV4pNbzfvn1+Zog9HUAdf1op1divLj/bb9+VwWfLZqXUlR9syY8OB1C/P+tXt5uUUm399kkbPgBKqbuVUg1KqTX72a+UUr8MfgerlFIz+u078tqwMUYe7/EAJgDjgJeAY/dzjAVsBUYBYWAlMDHY9yBwWfDzbcB1h/s9HWkP4EfAN4KfvwH88D2OLwRagMzg+b3ARYf7fRzJjwOtY6BrP9ulHb/P+gXGAmOCnwcDdUB+8Fza8L7rdb+frf2O+TxwW/DzZcCfg58nBsdHgJHBdazD/Z6OtMcB1vFH+n3eXtdbx8HzfX5myOOfruNPA7/ax7mFwLbg34Lg54LD/Z6OpMeB1O87jv8icHe/59KGD6yeTwZmAGv2s38h8BSggNnAm8H2I7INS0/QATDGrDfGbHyPw44DthhjthljksADwHlKKQXMBx4KjvsdcP4hK+zR6zz8uoEDq6OLgKeMMT2HslAfMv9sHadJOz4g71m/xphNxpjNwc+1QAOwz0XcRNo+P1vfcUz/un8IWBC02fOAB4wxCWPMdmBLcD2xp/esY2PMi/0+bxcDQz/gMh7tDqQd788ZwLPGmBZjTCvwLHDmISrn0eqfrd/Lgfs/kJJ9iBhjXsH/Anp/zgPuM77FQL5SqpwjtA1LEHTwDAGq+j2vDrYVAW3GGOcd28WeBhlj6oKfdwOD3uP4y9j7A+x/gu7XnymlIge9hEe/A63jqFJqqVJqce9wQ6QdH4h/qg0rpY7D/8Zya7/N0ob3tr/P1n0eE7TRdvw2eyDnin++nq7G/7a3174+M8SeDrSOLww+Ax5SSg37J88dyA64joKhnCOBF/ptljZ8cOzv93BEtmH7cBfgSKGUeg4o28eubxtjHv2gy/Nh9G513P+JMcYopfabtjD4VmEy8HS/zd/Ev/EM46dm/Drw3fdb5qPNQarj4caYGqXUKOAFpdRq/JvKAe8gt+HfA1caY7xgs7RhccRTSl0BHAuc0m/zXp8Zxpit+76CeBePA/cbYxJKqWvxezfnH+YyfRhdBjxkjHH7bZM2PABJEBQwxpz6Pi9RAwzr93xosK0ZvzvQDr6h7N0+4LxbHSul6pVS5caYuuAGseFdLnUJsMgYk+p37d5v4BNKqXuArx6UQh9lDkYdG2Nqgn+3KaVeAqYDDyPt+KDUr1IqF3gS/wuWxf2uLW143/b32bqvY6qVUjaQh//ZeyDnigOsJ6XUqfgB/ynGmETv9v18ZsgN5J7es46NMc39nt6JP8+w99x57zj3pYNewqPbP/O3fhnwhf4bpA0fNPv7PRyRbViGwx08bwFjlJ9BK4z/R/aY8WeEvYg/hwXgSkB6lvb2GH7dwHvX0V5jeYObzt65K+cD+8xcMsC9Zx0rpQp6h2EppYqBE4F10o4PyIHUbxhYhD9m+qF37JM2vG/7/Gx9xzH96/4i4IWgzT4GXKb87HEjgTHAkg+o3EeT96xjpdR04LfAucaYhn7b9/mZ8YGV/OhxIHVc3u/pucD64OengdODui4ATmfPkRDiwD4nUEqNx5+Y/0a/bdKGD57HgE8FWeJmA+3BF3xHZhs+3JkZjoYHcAH++MUEUA88HWwfDPyt33ELgU343x58u9/2Ufj/490C/AWIHO73dKQ98MfvPw9sBp4DCoPtxwJ39jtuBP43Cvod578ArMa/cfwDkH2439OR9jiQOgZOCOpxZfDv1f3Ol3b8/uv3CiAFrOj3mBbskza8/7rd67MVf6jgucHP0aBNbgna6Kh+5347OG8jcNbhfi9H6uMA6vi54P9/ve32sWD7fj8z5PFP1/EPgLVBXb4IjO937meC9r0FuOpwv5cj8fFe9Rs8vxm45R3nSRs+8Dq+Hz+raQr/vvhq4HPA54L9Crg1+B2spl9G5SOxDaugYEIIIYQQQggxIMhwOCGEEEIIIcSAIkGQEEIIIYQQYkCRIEgIIYQQQggxoEgQJIQQQgghhBhQJAgSQgghhBBCDCgSBAkhhBBCCCEGFAmChBBCCCGEEAOKBEFCCCGEEEKIAeX/A6Sqrm4fE30DAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(14, 8))\n",
    "ax.scatter(data['data']['G'][:, 0], data['data']['G'][:, 1], c=idata.posterior['f'].mean(('chain', 'draw')).values, s=4);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 335,
   "id": "c4174ebd-4864-4bf7-aa05-3f7db7c31482",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4936"
      ]
     },
     "execution_count": 335,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idata.posterior['f'].mean(('chain', 'draw')).values.argmax()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 336,
   "id": "3fe6e739-8b1a-4a4f-b6c2-d27e5d5da1a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.9716034989672567, array([ 0.60349777, -0.96787342]))"
      ]
     },
     "execution_count": 336,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idata.posterior['f'].mean(('chain', 'draw')).values[4936], data['data']['G'][4936, :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 382,
   "id": "b306e8c6-7f70-4183-97f0-7051a13f1692",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'NW3'"
      ]
     },
     "execution_count": 382,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['coords']['postcodes'][19]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 383,
   "id": "6dd73713-eef7-4343-ba3f-0d290cae06a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mask = data['data']['postcode_idx']==19\n",
    "plt.scatter( data['data']['G'][mask, 0], data['data']['G'][mask, 1] );\n",
    "ax = plt.gca()\n",
    "ax.set(xlim=(-1, 1), ylim=(-1, 1));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 373,
   "id": "d8b47e8d-5dd9-46f8-9220-163137842941",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5700"
      ]
     },
     "execution_count": 373,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['data']['postcode_idx'].size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 374,
   "id": "bac10780-4d6e-4a8e-996f-7bdc820d12a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([186.,  42.,  75., 162., 165., 145., 182., 124., 145., 167., 176.,\n",
       "       122., 147., 192., 176., 256., 437., 189., 455., 547., 192., 179.,\n",
       "       529., 234., 343., 133.])"
      ]
     },
     "execution_count": 374,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.ones(5700).dot( np.eye(26)[data['data']['postcode_idx']] )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 378,
   "id": "86eef2c4-e1ee-4ac3-af20-b58a2d739e3d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "WD17   -0.462980\n",
       "AL8    -0.377254\n",
       "AL9    -0.246411\n",
       "EN6    -0.245100\n",
       "AL1    -0.198147\n",
       "NW9    -0.170455\n",
       "N11    -0.144441\n",
       "N21    -0.121608\n",
       "N14    -0.098498\n",
       "N22    -0.092158\n",
       "N12    -0.091716\n",
       "NW4    -0.061862\n",
       "NW7    -0.030794\n",
       "N3      0.021656\n",
       "N20     0.022473\n",
       "NW2     0.058058\n",
       "N10     0.088554\n",
       "N8      0.099123\n",
       "N2      0.101865\n",
       "N19     0.130870\n",
       "NW11    0.229655\n",
       "NW6     0.277451\n",
       "NW5     0.304029\n",
       "N6      0.314050\n",
       "NW1     0.545285\n",
       "NW3     0.607941\n",
       "dtype: float64"
      ]
     },
     "execution_count": 378,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Series( idata.posterior['f'].mean(('chain', 'draw')).values.dot( np.eye(26)[data['data']['postcode_idx']] ) / np.ones(5700).dot( np.eye(26)[data['data']['postcode_idx']] ), index=data['coords']['postcodes'] ).sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 388,
   "id": "8cf48499-cae9-42a3-93e4-292c5fe8d4d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>postcode</th>\n",
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       "      <th>5696</th>\n",
       "      <td>0.711737</td>\n",
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       "    <tr>\n",
       "      <th>5699</th>\n",
       "      <td>-0.138807</td>\n",
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       "  </tbody>\n",
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       "<p>5700 rows × 2 columns</p>\n",
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      ],
      "text/plain": [
       "             f postcode\n",
       "0     0.717263      NW3\n",
       "1     0.429687      NW3\n",
       "2    -0.079191      N14\n",
       "3     0.293744      NW5\n",
       "4    -0.027975      NW7\n",
       "...        ...      ...\n",
       "5695  0.543927      NW3\n",
       "5696  0.711737      NW3\n",
       "5697  0.355390      NW6\n",
       "5698 -0.045148       N8\n",
       "5699 -0.138807      N20\n",
       "\n",
       "[5700 rows x 2 columns]"
      ]
     },
     "execution_count": 388,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_f = pd.DataFrame({'f': idata.posterior['f'].mean(('chain', 'draw')).values, 'postcode': data['coords']['postcodes'][data['data']['postcode_idx']]})\n",
    "df_f"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 398,
   "id": "d4727ba0-8c9e-4075-b12a-0cda7d8d56d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th colspan=\"4\" halign=\"left\">f</th>\n",
       "      <th>rng</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "      <th>count</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>postcode</th>\n",
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       "      <th>AL1</th>\n",
       "      <td>-0.20</td>\n",
       "      <td>-0.38</td>\n",
       "      <td>0.00</td>\n",
       "      <td>186</td>\n",
       "      <td>0.39</td>\n",
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       "      <th>AL8</th>\n",
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       "      <td>-0.28</td>\n",
       "      <td>42</td>\n",
       "      <td>0.31</td>\n",
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       "    <tr>\n",
       "      <th>AL9</th>\n",
       "      <td>-0.25</td>\n",
       "      <td>-0.45</td>\n",
       "      <td>0.19</td>\n",
       "      <td>75</td>\n",
       "      <td>0.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EN6</th>\n",
       "      <td>-0.25</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>0.28</td>\n",
       "      <td>162</td>\n",
       "      <td>0.75</td>\n",
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       "    <tr>\n",
       "      <th>N10</th>\n",
       "      <td>0.09</td>\n",
       "      <td>-0.20</td>\n",
       "      <td>0.28</td>\n",
       "      <td>165</td>\n",
       "      <td>0.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>N11</th>\n",
       "      <td>-0.14</td>\n",
       "      <td>-0.23</td>\n",
       "      <td>0.02</td>\n",
       "      <td>145</td>\n",
       "      <td>0.25</td>\n",
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       "    <tr>\n",
       "      <th>N12</th>\n",
       "      <td>-0.09</td>\n",
       "      <td>-0.28</td>\n",
       "      <td>0.10</td>\n",
       "      <td>182</td>\n",
       "      <td>0.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>N14</th>\n",
       "      <td>-0.10</td>\n",
       "      <td>-0.23</td>\n",
       "      <td>0.07</td>\n",
       "      <td>124</td>\n",
       "      <td>0.30</td>\n",
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       "    <tr>\n",
       "      <th>N19</th>\n",
       "      <td>0.13</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>0.29</td>\n",
       "      <td>145</td>\n",
       "      <td>0.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>N2</th>\n",
       "      <td>0.10</td>\n",
       "      <td>-0.28</td>\n",
       "      <td>0.64</td>\n",
       "      <td>167</td>\n",
       "      <td>0.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>N20</th>\n",
       "      <td>0.02</td>\n",
       "      <td>-0.22</td>\n",
       "      <td>0.72</td>\n",
       "      <td>176</td>\n",
       "      <td>0.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>N21</th>\n",
       "      <td>-0.12</td>\n",
       "      <td>-0.37</td>\n",
       "      <td>0.09</td>\n",
       "      <td>122</td>\n",
       "      <td>0.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>N22</th>\n",
       "      <td>-0.09</td>\n",
       "      <td>-0.22</td>\n",
       "      <td>0.14</td>\n",
       "      <td>147</td>\n",
       "      <td>0.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>N3</th>\n",
       "      <td>0.02</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.10</td>\n",
       "      <td>192</td>\n",
       "      <td>0.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>N6</th>\n",
       "      <td>0.31</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.65</td>\n",
       "      <td>176</td>\n",
       "      <td>0.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>N8</th>\n",
       "      <td>0.10</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>0.25</td>\n",
       "      <td>256</td>\n",
       "      <td>0.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NW1</th>\n",
       "      <td>0.55</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.97</td>\n",
       "      <td>437</td>\n",
       "      <td>0.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NW11</th>\n",
       "      <td>0.23</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>0.67</td>\n",
       "      <td>189</td>\n",
       "      <td>0.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NW2</th>\n",
       "      <td>0.06</td>\n",
       "      <td>-0.26</td>\n",
       "      <td>0.49</td>\n",
       "      <td>455</td>\n",
       "      <td>0.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NW3</th>\n",
       "      <td>0.61</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.88</td>\n",
       "      <td>547</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NW4</th>\n",
       "      <td>-0.06</td>\n",
       "      <td>-0.14</td>\n",
       "      <td>0.01</td>\n",
       "      <td>192</td>\n",
       "      <td>0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NW5</th>\n",
       "      <td>0.30</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.49</td>\n",
       "      <td>179</td>\n",
       "      <td>0.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NW6</th>\n",
       "      <td>0.28</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.57</td>\n",
       "      <td>529</td>\n",
       "      <td>0.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NW7</th>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.32</td>\n",
       "      <td>0.30</td>\n",
       "      <td>234</td>\n",
       "      <td>0.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NW9</th>\n",
       "      <td>-0.17</td>\n",
       "      <td>-0.39</td>\n",
       "      <td>-0.10</td>\n",
       "      <td>343</td>\n",
       "      <td>0.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WD17</th>\n",
       "      <td>-0.46</td>\n",
       "      <td>-0.75</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>133</td>\n",
       "      <td>0.71</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             f                     rng\n",
       "          mean   min   max count      \n",
       "postcode                              \n",
       "AL1      -0.20 -0.38  0.00   186  0.39\n",
       "AL8      -0.38 -0.59 -0.28    42  0.31\n",
       "AL9      -0.25 -0.45  0.19    75  0.63\n",
       "EN6      -0.25 -0.48  0.28   162  0.75\n",
       "N10       0.09 -0.20  0.28   165  0.48\n",
       "N11      -0.14 -0.23  0.02   145  0.25\n",
       "N12      -0.09 -0.28  0.10   182  0.37\n",
       "N14      -0.10 -0.23  0.07   124  0.30\n",
       "N19       0.13 -0.00  0.29   145  0.30\n",
       "N2        0.10 -0.28  0.64   167  0.92\n",
       "N20       0.02 -0.22  0.72   176  0.94\n",
       "N21      -0.12 -0.37  0.09   122  0.46\n",
       "N22      -0.09 -0.22  0.14   147  0.36\n",
       "N3        0.02 -0.25  0.10   192  0.36\n",
       "N6        0.31  0.18  0.65   176  0.46\n",
       "N8        0.10 -0.07  0.25   256  0.32\n",
       "NW1       0.55  0.21  0.97   437  0.76\n",
       "NW11      0.23 -0.08  0.67   189  0.75\n",
       "NW2       0.06 -0.26  0.49   455  0.75\n",
       "NW3       0.61  0.38  0.88   547  0.50\n",
       "NW4      -0.06 -0.14  0.01   192  0.15\n",
       "NW5       0.30  0.20  0.49   179  0.29\n",
       "NW6       0.28  0.13  0.57   529  0.44\n",
       "NW7      -0.03 -0.32  0.30   234  0.62\n",
       "NW9      -0.17 -0.39 -0.10   343  0.29\n",
       "WD17     -0.46 -0.75 -0.03   133  0.71"
      ]
     },
     "execution_count": 398,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_f.groupby('postcode').agg({'f': ['mean', 'min', 'max', 'count', ]}).assign(rng=lambda x:x[('f', 'max')] - x[('f', 'min')]).round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 399,
   "id": "079d9bd4-ab02-40f4-b63c-12083104cc05",
   "metadata": {},
   "outputs": [],
   "source": [
    "import utils_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 402,
   "id": "1bb33bf4-c88e-451d-8dce-ad68c17bcd00",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>...</th>\n",
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       "      <th>analyticsInfo.analyticsProperty.selectedPrice</th>\n",
       "      <th>analyticsInfo.analyticsProperty.soldSTC</th>\n",
       "      <th>analyticsInfo.analyticsProperty.videoProvider</th>\n",
       "      <th>analyticsInfo.analyticsProperty.viewType</th>\n",
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       "      <th>124460603</th>\n",
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       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>An exceptional two double bedroom 2 bathroom t...</td>\n",
       "      <td>2 bedroom apartment</td>\n",
       "      <td>&lt;b&gt;Disclaimer&lt;/b&gt; - Property reference HAM2202...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Map data ©&lt;a href=\"http://www.openstreetmap.or...</td>\n",
       "      <td>Please note that Rightmove will send the above...</td>\n",
       "      <td>...</td>\n",
       "      <td>Flats / Apartments</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>False</td>\n",
       "      <td>No Video</td>\n",
       "      <td>Current</td>\n",
       "      <td>https://www.rightmove.co.uk/property-for-sale/...</td>\n",
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       "      <td>&lt;b&gt;Disclaimer&lt;/b&gt; - Property reference OPVH000...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Map data ©&lt;a href=\"http://www.openstreetmap.or...</td>\n",
       "      <td>Please note that Rightmove will send the above...</td>\n",
       "      <td>...</td>\n",
       "      <td>Flats / Apartments</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>False</td>\n",
       "      <td>External Link</td>\n",
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       "      <td>https://www.rightmove.co.uk/property-for-sale/...</td>\n",
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       "      <td>True</td>\n",
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       "      <td>A well presented and rarely available four bed...</td>\n",
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       "      <td>&lt;b&gt;Disclaimer&lt;/b&gt; - Property reference 2265742...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Map data ©&lt;a href=\"http://www.openstreetmap.or...</td>\n",
       "      <td>Please note that Rightmove will send the above...</td>\n",
       "      <td>...</td>\n",
       "      <td>Houses</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>False</td>\n",
       "      <td>No Video</td>\n",
       "      <td>Current</td>\n",
       "      <td>https://www.rightmove.co.uk/property-for-sale/...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121653137</th>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>This spacious home features a south facing rec...</td>\n",
       "      <td>3 bedroom ground floor flat</td>\n",
       "      <td>&lt;b&gt;Disclaimer&lt;/b&gt; - Property reference uo8yoti...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Map data ©&lt;a href=\"http://www.openstreetmap.or...</td>\n",
       "      <td>Please note that Rightmove will send the above...</td>\n",
       "      <td>...</td>\n",
       "      <td>Flats / Apartments</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>False</td>\n",
       "      <td>No Video</td>\n",
       "      <td>Current</td>\n",
       "      <td>https://www.rightmove.co.uk/property-for-sale/...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NW5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111674723</th>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>A beautifully presented period conversion with...</td>\n",
       "      <td>2 bedroom flat</td>\n",
       "      <td>&lt;b&gt;Disclaimer&lt;/b&gt; - Property reference ABAC_01...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Map data ©&lt;a href=\"http://www.openstreetmap.or...</td>\n",
       "      <td>Please note that Rightmove will send the above...</td>\n",
       "      <td>...</td>\n",
       "      <td>Flats / Apartments</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>False</td>\n",
       "      <td>Embedded</td>\n",
       "      <td>Current</td>\n",
       "      <td>https://www.rightmove.co.uk/property-for-sale/...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NW7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 157 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 isAuthenticated  propertyData.status.published  \\\n",
       "propertyData.id                                                   \n",
       "124460603                  False                           True   \n",
       "121402754                  False                           True   \n",
       "85479621                   False                           True   \n",
       "121653137                  False                           True   \n",
       "111674723                  False                           True   \n",
       "\n",
       "                 propertyData.status.archived  \\\n",
       "propertyData.id                                 \n",
       "124460603                               False   \n",
       "121402754                               False   \n",
       "85479621                                False   \n",
       "121653137                               False   \n",
       "111674723                               False   \n",
       "\n",
       "                                     propertyData.text.description  \\\n",
       "propertyData.id                                                      \n",
       "124460603        An exceptional two double bedroom 2 bathroom t...   \n",
       "121402754        <br />A bright second-floor maisonette on Finc...   \n",
       "85479621         A well presented and rarely available four bed...   \n",
       "121653137        This spacious home features a south facing rec...   \n",
       "111674723        A beautifully presented period conversion with...   \n",
       "\n",
       "                propertyData.text.propertyPhrase  \\\n",
       "propertyData.id                                    \n",
       "124460603                    2 bedroom apartment   \n",
       "121402754                    1 bedroom apartment   \n",
       "85479621          4 bedroom end of terrace house   \n",
       "121653137            3 bedroom ground floor flat   \n",
       "111674723                         2 bedroom flat   \n",
       "\n",
       "                                      propertyData.text.disclaimer  \\\n",
       "propertyData.id                                                      \n",
       "124460603        <b>Disclaimer</b> - Property reference HAM2202...   \n",
       "121402754        <b>Disclaimer</b> - Property reference OPVH000...   \n",
       "85479621         <b>Disclaimer</b> - Property reference 2265742...   \n",
       "121653137        <b>Disclaimer</b> - Property reference uo8yoti...   \n",
       "111674723        <b>Disclaimer</b> - Property reference ABAC_01...   \n",
       "\n",
       "                propertyData.text.guidePriceDisclaimer  \\\n",
       "propertyData.id                                          \n",
       "124460603                                         None   \n",
       "121402754                                         None   \n",
       "85479621                                          None   \n",
       "121653137                                         None   \n",
       "111674723                                         None   \n",
       "\n",
       "                propertyData.text.reservePriceDisclaimer  \\\n",
       "propertyData.id                                            \n",
       "124460603                                           None   \n",
       "121402754                                           None   \n",
       "85479621                                            None   \n",
       "121653137                                           None   \n",
       "111674723                                           None   \n",
       "\n",
       "                         propertyData.text.staticMapDisclaimerText  \\\n",
       "propertyData.id                                                      \n",
       "124460603        Map data ©<a href=\"http://www.openstreetmap.or...   \n",
       "121402754        Map data ©<a href=\"http://www.openstreetmap.or...   \n",
       "85479621         Map data ©<a href=\"http://www.openstreetmap.or...   \n",
       "121653137        Map data ©<a href=\"http://www.openstreetmap.or...   \n",
       "111674723        Map data ©<a href=\"http://www.openstreetmap.or...   \n",
       "\n",
       "                      propertyData.text.newHomesBrochureDisclaimer  ...  \\\n",
       "propertyData.id                                                     ...   \n",
       "124460603        Please note that Rightmove will send the above...  ...   \n",
       "121402754        Please note that Rightmove will send the above...  ...   \n",
       "85479621         Please note that Rightmove will send the above...  ...   \n",
       "121653137        Please note that Rightmove will send the above...  ...   \n",
       "111674723        Please note that Rightmove will send the above...  ...   \n",
       "\n",
       "                analyticsInfo.analyticsProperty.propertyType  \\\n",
       "propertyData.id                                                \n",
       "124460603                                 Flats / Apartments   \n",
       "121402754                                 Flats / Apartments   \n",
       "85479621                                              Houses   \n",
       "121653137                                 Flats / Apartments   \n",
       "111674723                                 Flats / Apartments   \n",
       "\n",
       "                analyticsInfo.analyticsProperty.retirement  \\\n",
       "propertyData.id                                              \n",
       "124460603                                            False   \n",
       "121402754                                            False   \n",
       "85479621                                             False   \n",
       "121653137                                            False   \n",
       "111674723                                            False   \n",
       "\n",
       "                analyticsInfo.analyticsProperty.selectedCurrency  \\\n",
       "propertyData.id                                                    \n",
       "124460603                                                   None   \n",
       "121402754                                                   None   \n",
       "85479621                                                    None   \n",
       "121653137                                                   None   \n",
       "111674723                                                   None   \n",
       "\n",
       "                analyticsInfo.analyticsProperty.selectedPrice  \\\n",
       "propertyData.id                                                 \n",
       "124460603                                                None   \n",
       "121402754                                                None   \n",
       "85479621                                                 None   \n",
       "121653137                                                None   \n",
       "111674723                                                None   \n",
       "\n",
       "                analyticsInfo.analyticsProperty.soldSTC  \\\n",
       "propertyData.id                                           \n",
       "124460603                                         False   \n",
       "121402754                                         False   \n",
       "85479621                                          False   \n",
       "121653137                                         False   \n",
       "111674723                                         False   \n",
       "\n",
       "                analyticsInfo.analyticsProperty.videoProvider  \\\n",
       "propertyData.id                                                 \n",
       "124460603                                            No Video   \n",
       "121402754                                       External Link   \n",
       "85479621                                             No Video   \n",
       "121653137                                            No Video   \n",
       "111674723                                            Embedded   \n",
       "\n",
       "                analyticsInfo.analyticsProperty.viewType  \\\n",
       "propertyData.id                                            \n",
       "124460603                                        Current   \n",
       "121402754                                        Current   \n",
       "85479621                                         Current   \n",
       "121653137                                        Current   \n",
       "111674723                                        Current   \n",
       "\n",
       "                         analyticsInfo.analyticsProperty.customUri  \\\n",
       "propertyData.id                                                      \n",
       "124460603        https://www.rightmove.co.uk/property-for-sale/...   \n",
       "121402754        https://www.rightmove.co.uk/property-for-sale/...   \n",
       "85479621         https://www.rightmove.co.uk/property-for-sale/...   \n",
       "121653137        https://www.rightmove.co.uk/property-for-sale/...   \n",
       "111674723        https://www.rightmove.co.uk/property-for-sale/...   \n",
       "\n",
       "                propertyData.streetView postcode_head  \n",
       "propertyData.id                                        \n",
       "124460603                           NaN           NW3  \n",
       "121402754                           NaN           NW3  \n",
       "85479621                            NaN           N14  \n",
       "121653137                           NaN           NW5  \n",
       "111674723                           NaN           NW7  \n",
       "\n",
       "[5 rows x 157 columns]"
      ]
     },
     "execution_count": 402,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = utils_data.get_property_data()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 406,
   "id": "fd2b8438-7e77-48a6-936c-6493fc232414",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.26823529, -0.21425315])"
      ]
     },
     "execution_count": 406,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['data']['G'][2431, :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 411,
   "id": "808859ff-97d9-4b50-acbb-2b7189cfc54c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "isAuthenticated                                                                              False\n",
       "propertyData.status.published                                                                 True\n",
       "propertyData.status.archived                                                                 False\n",
       "propertyData.text.description                    A delightful one bedroom flat set on the top f...\n",
       "propertyData.text.propertyPhrase                                                    1 bedroom flat\n",
       "                                                                       ...                        \n",
       "analyticsInfo.analyticsProperty.videoProvider                                             No Video\n",
       "analyticsInfo.analyticsProperty.viewType                                                   Current\n",
       "analyticsInfo.analyticsProperty.customUri        https://www.rightmove.co.uk/property-for-sale/...\n",
       "propertyData.streetView                                                                        NaN\n",
       "postcode_head                                                                                 NW11\n",
       "Name: 112942979, Length: 157, dtype: object"
      ]
     },
     "execution_count": 411,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[4513]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "624499e8-c3df-490d-9ac8-07c7c443231c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4560ebce-bbeb-448f-8b78-66334e31c2b3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 421,
   "id": "411ce356-05c2-4677-a665-3b9a6da7272d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy import spatial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 476,
   "id": "2920aacf-7f81-4280-af27-592622546115",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "G = data['data']['G']\n",
    "\n",
    "mask = data['data']['postcode_idx']==16\n",
    "hull = spatial.ConvexHull(G[mask, :])\n",
    "\n",
    "plt.scatter(G[:, 0], G[:, 1], alpha=0.2);\n",
    "for simplex in hull.simplices:\n",
    "    plt.plot(G[mask][simplex, 0], G[mask][simplex, 1], color='C3', lw=3.);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "226f7e13-72c7-462e-9355-9be364ca1118",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6f76e65d-258d-4377-8238-8533cdfc06e5",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}