cell-painting/2.train/0.cell-painting-vaeLEVEL4_vanilla.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Train a VAE on Cell Painting LINCS Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "import pathlib\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "sys.path.insert(0, \"../../scripts\")\n",
    "from utils import load_data\n",
    "\n",
    "\n",
    "from pycytominer.cyto_utils import infer_cp_features\n",
    "\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.pyplot import figure\n",
    "\n",
    "from sklearn.decomposition import PCA\n",
    "from tensorflow import keras\n",
    "\n",
    "from vae import VAE\n",
    "\n",
    "from tensorflow.keras.models import Model, Sequential\n",
    "import seaborn\n",
    "import random as python_random\n",
    "import tensorflow as tf\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ubuntu/miniconda3/envs/cell-painting-vae/lib/python3.7/site-packages/IPython/core/interactiveshell.py:3361: DtypeWarning: Columns (18,19) have mixed types.Specify dtype option on import or set low_memory=False.\n",
      "  if (await self.run_code(code, result,  async_=asy)):\n"
     ]
    }
   ],
   "source": [
    "data_splits = [\"train\", \"test\", \"valid\",\"complete\"]\n",
    "data_dict = load_data(data_splits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Prepare data for training\n",
    "meta_features = infer_cp_features(data_dict[\"train\"], metadata=True)\n",
    "cp_features = infer_cp_features(data_dict[\"train\"])\n",
    "\n",
    "train_features_df = data_dict[\"train\"].reindex(cp_features, axis=\"columns\")\n",
    "train_meta_df = data_dict[\"train\"].reindex(meta_features, axis=\"columns\")\n",
    "\n",
    "test_features_df = data_dict[\"test\"].reindex(cp_features, axis=\"columns\")\n",
    "test_meta_df = data_dict[\"test\"].reindex(meta_features, axis=\"columns\")\n",
    "\n",
    "valid_features_df = data_dict[\"valid\"].reindex(cp_features, axis=\"columns\")\n",
    "Valid_meta_df = data_dict[\"valid\"].reindex(meta_features, axis=\"columns\")\n",
    "\n",
    "\n",
    "complete_features_df = data_dict[\"complete\"].reindex(cp_features, axis=\"columns\")\n",
    "complete_meta_df = data_dict[\"complete\"].reindex(meta_features, axis=\"columns\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(40242, 685)\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Cells_AreaShape_Compactness</th>\n",
       "      <th>Cells_AreaShape_Eccentricity</th>\n",
       "      <th>Cells_AreaShape_Extent</th>\n",
       "      <th>Cells_AreaShape_FormFactor</th>\n",
       "      <th>Cells_AreaShape_MedianRadius</th>\n",
       "      <th>Cells_AreaShape_Orientation</th>\n",
       "      <th>Cells_AreaShape_Solidity</th>\n",
       "      <th>Cells_AreaShape_Zernike_0_0</th>\n",
       "      <th>Cells_AreaShape_Zernike_1_1</th>\n",
       "      <th>Cells_AreaShape_Zernike_2_0</th>\n",
       "      <th>...</th>\n",
       "      <th>Nuclei_Texture_SumEntropy_DNA_5_0</th>\n",
       "      <th>Nuclei_Texture_SumEntropy_Mito_5_0</th>\n",
       "      <th>Nuclei_Texture_SumEntropy_RNA_20_0</th>\n",
       "      <th>Nuclei_Texture_SumEntropy_RNA_5_0</th>\n",
       "      <th>Nuclei_Texture_SumVariance_DNA_20_0</th>\n",
       "      <th>Nuclei_Texture_SumVariance_RNA_20_0</th>\n",
       "      <th>Nuclei_Texture_Variance_DNA_20_0</th>\n",
       "      <th>Nuclei_Texture_Variance_ER_20_0</th>\n",
       "      <th>Nuclei_Texture_Variance_RNA_10_0</th>\n",
       "      <th>Nuclei_Texture_Variance_RNA_20_0</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>0.19790</td>\n",
       "      <td>0.69605</td>\n",
       "      <td>0.40400</td>\n",
       "      <td>0.30834</td>\n",
       "      <td>0.19317</td>\n",
       "      <td>0.71895</td>\n",
       "      <td>0.38837</td>\n",
       "      <td>0.38668</td>\n",
       "      <td>0.62494</td>\n",
       "      <td>0.87362</td>\n",
       "      <td>...</td>\n",
       "      <td>0.61045</td>\n",
       "      <td>0.41907</td>\n",
       "      <td>0.64945</td>\n",
       "      <td>0.65199</td>\n",
       "      <td>0.22660</td>\n",
       "      <td>0.32108</td>\n",
       "      <td>0.29776</td>\n",
       "      <td>0.26173</td>\n",
       "      <td>0.34524</td>\n",
       "      <td>0.32151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.18605</td>\n",
       "      <td>0.68873</td>\n",
       "      <td>0.41051</td>\n",
       "      <td>0.31982</td>\n",
       "      <td>0.19885</td>\n",
       "      <td>0.72510</td>\n",
       "      <td>0.39552</td>\n",
       "      <td>0.38362</td>\n",
       "      <td>0.65094</td>\n",
       "      <td>0.89679</td>\n",
       "      <td>...</td>\n",
       "      <td>0.61393</td>\n",
       "      <td>0.38269</td>\n",
       "      <td>0.63814</td>\n",
       "      <td>0.68204</td>\n",
       "      <td>0.23700</td>\n",
       "      <td>0.32808</td>\n",
       "      <td>0.27981</td>\n",
       "      <td>0.26893</td>\n",
       "      <td>0.34938</td>\n",
       "      <td>0.33179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.19083</td>\n",
       "      <td>0.66276</td>\n",
       "      <td>0.38585</td>\n",
       "      <td>0.31437</td>\n",
       "      <td>0.20415</td>\n",
       "      <td>0.71380</td>\n",
       "      <td>0.38701</td>\n",
       "      <td>0.36699</td>\n",
       "      <td>0.60932</td>\n",
       "      <td>0.88492</td>\n",
       "      <td>...</td>\n",
       "      <td>0.60850</td>\n",
       "      <td>0.41850</td>\n",
       "      <td>0.63529</td>\n",
       "      <td>0.65208</td>\n",
       "      <td>0.22852</td>\n",
       "      <td>0.32710</td>\n",
       "      <td>0.29371</td>\n",
       "      <td>0.27159</td>\n",
       "      <td>0.33871</td>\n",
       "      <td>0.31965</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 685 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Cells_AreaShape_Compactness  Cells_AreaShape_Eccentricity  \\\n",
       "0                      0.19790                       0.69605   \n",
       "1                      0.18605                       0.68873   \n",
       "2                      0.19083                       0.66276   \n",
       "\n",
       "   Cells_AreaShape_Extent  Cells_AreaShape_FormFactor  \\\n",
       "0                 0.40400                     0.30834   \n",
       "1                 0.41051                     0.31982   \n",
       "2                 0.38585                     0.31437   \n",
       "\n",
       "   Cells_AreaShape_MedianRadius  Cells_AreaShape_Orientation  \\\n",
       "0                       0.19317                      0.71895   \n",
       "1                       0.19885                      0.72510   \n",
       "2                       0.20415                      0.71380   \n",
       "\n",
       "   Cells_AreaShape_Solidity  Cells_AreaShape_Zernike_0_0  \\\n",
       "0                   0.38837                      0.38668   \n",
       "1                   0.39552                      0.38362   \n",
       "2                   0.38701                      0.36699   \n",
       "\n",
       "   Cells_AreaShape_Zernike_1_1  Cells_AreaShape_Zernike_2_0  ...  \\\n",
       "0                      0.62494                      0.87362  ...   \n",
       "1                      0.65094                      0.89679  ...   \n",
       "2                      0.60932                      0.88492  ...   \n",
       "\n",
       "   Nuclei_Texture_SumEntropy_DNA_5_0  Nuclei_Texture_SumEntropy_Mito_5_0  \\\n",
       "0                            0.61045                             0.41907   \n",
       "1                            0.61393                             0.38269   \n",
       "2                            0.60850                             0.41850   \n",
       "\n",
       "   Nuclei_Texture_SumEntropy_RNA_20_0  Nuclei_Texture_SumEntropy_RNA_5_0  \\\n",
       "0                             0.64945                            0.65199   \n",
       "1                             0.63814                            0.68204   \n",
       "2                             0.63529                            0.65208   \n",
       "\n",
       "   Nuclei_Texture_SumVariance_DNA_20_0  Nuclei_Texture_SumVariance_RNA_20_0  \\\n",
       "0                              0.22660                              0.32108   \n",
       "1                              0.23700                              0.32808   \n",
       "2                              0.22852                              0.32710   \n",
       "\n",
       "   Nuclei_Texture_Variance_DNA_20_0  Nuclei_Texture_Variance_ER_20_0  \\\n",
       "0                           0.29776                          0.26173   \n",
       "1                           0.27981                          0.26893   \n",
       "2                           0.29371                          0.27159   \n",
       "\n",
       "   Nuclei_Texture_Variance_RNA_10_0  Nuclei_Texture_Variance_RNA_20_0  \n",
       "0                           0.34524                           0.32151  \n",
       "1                           0.34938                           0.33179  \n",
       "2                           0.33871                           0.31965  \n",
       "\n",
       "[3 rows x 685 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(train_features_df.shape)\n",
    "train_features_df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5030, 685)\n"
     ]
    },
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Cells_AreaShape_Compactness</th>\n",
       "      <th>Cells_AreaShape_Eccentricity</th>\n",
       "      <th>Cells_AreaShape_Extent</th>\n",
       "      <th>Cells_AreaShape_FormFactor</th>\n",
       "      <th>Cells_AreaShape_MedianRadius</th>\n",
       "      <th>Cells_AreaShape_Orientation</th>\n",
       "      <th>Cells_AreaShape_Solidity</th>\n",
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       "      <th>Cells_AreaShape_Zernike_1_1</th>\n",
       "      <th>Cells_AreaShape_Zernike_2_0</th>\n",
       "      <th>...</th>\n",
       "      <th>Nuclei_Texture_SumEntropy_DNA_5_0</th>\n",
       "      <th>Nuclei_Texture_SumEntropy_Mito_5_0</th>\n",
       "      <th>Nuclei_Texture_SumEntropy_RNA_20_0</th>\n",
       "      <th>Nuclei_Texture_SumEntropy_RNA_5_0</th>\n",
       "      <th>Nuclei_Texture_SumVariance_DNA_20_0</th>\n",
       "      <th>Nuclei_Texture_SumVariance_RNA_20_0</th>\n",
       "      <th>Nuclei_Texture_Variance_DNA_20_0</th>\n",
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       "      <td>0.39383</td>\n",
       "      <td>0.33072</td>\n",
       "      <td>0.20185</td>\n",
       "      <td>0.72292</td>\n",
       "      <td>0.38085</td>\n",
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       "      <td>0.61905</td>\n",
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       "      <td>...</td>\n",
       "      <td>0.60356</td>\n",
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       "      <td>0.63470</td>\n",
       "      <td>0.63406</td>\n",
       "      <td>0.23588</td>\n",
       "      <td>0.36061</td>\n",
       "      <td>0.30092</td>\n",
       "      <td>0.23638</td>\n",
       "      <td>0.36015</td>\n",
       "      <td>0.32779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.18661</td>\n",
       "      <td>0.67731</td>\n",
       "      <td>0.39621</td>\n",
       "      <td>0.32318</td>\n",
       "      <td>0.20716</td>\n",
       "      <td>0.70964</td>\n",
       "      <td>0.39401</td>\n",
       "      <td>0.37779</td>\n",
       "      <td>0.60275</td>\n",
       "      <td>0.88912</td>\n",
       "      <td>...</td>\n",
       "      <td>0.60936</td>\n",
       "      <td>0.40380</td>\n",
       "      <td>0.64406</td>\n",
       "      <td>0.64859</td>\n",
       "      <td>0.22752</td>\n",
       "      <td>0.29811</td>\n",
       "      <td>0.29430</td>\n",
       "      <td>0.25475</td>\n",
       "      <td>0.34154</td>\n",
       "      <td>0.32013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.18626</td>\n",
       "      <td>0.67036</td>\n",
       "      <td>0.41101</td>\n",
       "      <td>0.31863</td>\n",
       "      <td>0.20182</td>\n",
       "      <td>0.71139</td>\n",
       "      <td>0.40302</td>\n",
       "      <td>0.38979</td>\n",
       "      <td>0.59188</td>\n",
       "      <td>0.86857</td>\n",
       "      <td>...</td>\n",
       "      <td>0.61009</td>\n",
       "      <td>0.40904</td>\n",
       "      <td>0.64250</td>\n",
       "      <td>0.63285</td>\n",
       "      <td>0.23931</td>\n",
       "      <td>0.33179</td>\n",
       "      <td>0.28571</td>\n",
       "      <td>0.24980</td>\n",
       "      <td>0.34516</td>\n",
       "      <td>0.32968</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 685 columns</p>\n",
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      ],
      "text/plain": [
       "   Cells_AreaShape_Compactness  Cells_AreaShape_Eccentricity  \\\n",
       "0                      0.19050                       0.68937   \n",
       "1                      0.18661                       0.67731   \n",
       "2                      0.18626                       0.67036   \n",
       "\n",
       "   Cells_AreaShape_Extent  Cells_AreaShape_FormFactor  \\\n",
       "0                 0.39383                     0.33072   \n",
       "1                 0.39621                     0.32318   \n",
       "2                 0.41101                     0.31863   \n",
       "\n",
       "   Cells_AreaShape_MedianRadius  Cells_AreaShape_Orientation  \\\n",
       "0                       0.20185                      0.72292   \n",
       "1                       0.20716                      0.70964   \n",
       "2                       0.20182                      0.71139   \n",
       "\n",
       "   Cells_AreaShape_Solidity  Cells_AreaShape_Zernike_0_0  \\\n",
       "0                   0.38085                      0.37504   \n",
       "1                   0.39401                      0.37779   \n",
       "2                   0.40302                      0.38979   \n",
       "\n",
       "   Cells_AreaShape_Zernike_1_1  Cells_AreaShape_Zernike_2_0  ...  \\\n",
       "0                      0.61905                      0.88361  ...   \n",
       "1                      0.60275                      0.88912  ...   \n",
       "2                      0.59188                      0.86857  ...   \n",
       "\n",
       "   Nuclei_Texture_SumEntropy_DNA_5_0  Nuclei_Texture_SumEntropy_Mito_5_0  \\\n",
       "0                            0.60356                             0.39345   \n",
       "1                            0.60936                             0.40380   \n",
       "2                            0.61009                             0.40904   \n",
       "\n",
       "   Nuclei_Texture_SumEntropy_RNA_20_0  Nuclei_Texture_SumEntropy_RNA_5_0  \\\n",
       "0                             0.63470                            0.63406   \n",
       "1                             0.64406                            0.64859   \n",
       "2                             0.64250                            0.63285   \n",
       "\n",
       "   Nuclei_Texture_SumVariance_DNA_20_0  Nuclei_Texture_SumVariance_RNA_20_0  \\\n",
       "0                              0.23588                              0.36061   \n",
       "1                              0.22752                              0.29811   \n",
       "2                              0.23931                              0.33179   \n",
       "\n",
       "   Nuclei_Texture_Variance_DNA_20_0  Nuclei_Texture_Variance_ER_20_0  \\\n",
       "0                           0.30092                          0.23638   \n",
       "1                           0.29430                          0.25475   \n",
       "2                           0.28571                          0.24980   \n",
       "\n",
       "   Nuclei_Texture_Variance_RNA_10_0  Nuclei_Texture_Variance_RNA_20_0  \n",
       "0                           0.36015                           0.32779  \n",
       "1                           0.34154                           0.32013  \n",
       "2                           0.34516                           0.32968  \n",
       "\n",
       "[3 rows x 685 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(test_features_df.shape)\n",
    "test_features_df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(50303, 685)\n"
     ]
    },
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Cells_AreaShape_Compactness</th>\n",
       "      <th>Cells_AreaShape_Eccentricity</th>\n",
       "      <th>Cells_AreaShape_Extent</th>\n",
       "      <th>Cells_AreaShape_FormFactor</th>\n",
       "      <th>Cells_AreaShape_MedianRadius</th>\n",
       "      <th>Cells_AreaShape_Orientation</th>\n",
       "      <th>Cells_AreaShape_Solidity</th>\n",
       "      <th>Cells_AreaShape_Zernike_0_0</th>\n",
       "      <th>Cells_AreaShape_Zernike_1_1</th>\n",
       "      <th>Cells_AreaShape_Zernike_2_0</th>\n",
       "      <th>...</th>\n",
       "      <th>Nuclei_Texture_SumEntropy_DNA_5_0</th>\n",
       "      <th>Nuclei_Texture_SumEntropy_Mito_5_0</th>\n",
       "      <th>Nuclei_Texture_SumEntropy_RNA_20_0</th>\n",
       "      <th>Nuclei_Texture_SumEntropy_RNA_5_0</th>\n",
       "      <th>Nuclei_Texture_SumVariance_DNA_20_0</th>\n",
       "      <th>Nuclei_Texture_SumVariance_RNA_20_0</th>\n",
       "      <th>Nuclei_Texture_Variance_DNA_20_0</th>\n",
       "      <th>Nuclei_Texture_Variance_ER_20_0</th>\n",
       "      <th>Nuclei_Texture_Variance_RNA_10_0</th>\n",
       "      <th>Nuclei_Texture_Variance_RNA_20_0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.19575</td>\n",
       "      <td>0.67566</td>\n",
       "      <td>0.40288</td>\n",
       "      <td>0.32633</td>\n",
       "      <td>0.20267</td>\n",
       "      <td>0.71477</td>\n",
       "      <td>0.39122</td>\n",
       "      <td>0.38048</td>\n",
       "      <td>0.61184</td>\n",
       "      <td>0.88375</td>\n",
       "      <td>...</td>\n",
       "      <td>0.60865</td>\n",
       "      <td>0.38869</td>\n",
       "      <td>0.65364</td>\n",
       "      <td>0.65716</td>\n",
       "      <td>0.24912</td>\n",
       "      <td>0.33129</td>\n",
       "      <td>0.28864</td>\n",
       "      <td>0.27106</td>\n",
       "      <td>0.35254</td>\n",
       "      <td>0.32675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.18472</td>\n",
       "      <td>0.66556</td>\n",
       "      <td>0.39721</td>\n",
       "      <td>0.30968</td>\n",
       "      <td>0.20009</td>\n",
       "      <td>0.71345</td>\n",
       "      <td>0.39953</td>\n",
       "      <td>0.37314</td>\n",
       "      <td>0.61074</td>\n",
       "      <td>0.87695</td>\n",
       "      <td>...</td>\n",
       "      <td>0.60682</td>\n",
       "      <td>0.39779</td>\n",
       "      <td>0.64013</td>\n",
       "      <td>0.63120</td>\n",
       "      <td>0.24380</td>\n",
       "      <td>0.30471</td>\n",
       "      <td>0.28554</td>\n",
       "      <td>0.27852</td>\n",
       "      <td>0.35157</td>\n",
       "      <td>0.31637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.18254</td>\n",
       "      <td>0.69650</td>\n",
       "      <td>0.39596</td>\n",
       "      <td>0.33502</td>\n",
       "      <td>0.20420</td>\n",
       "      <td>0.72770</td>\n",
       "      <td>0.39590</td>\n",
       "      <td>0.37023</td>\n",
       "      <td>0.60264</td>\n",
       "      <td>0.88038</td>\n",
       "      <td>...</td>\n",
       "      <td>0.60665</td>\n",
       "      <td>0.39705</td>\n",
       "      <td>0.66616</td>\n",
       "      <td>0.62889</td>\n",
       "      <td>0.25125</td>\n",
       "      <td>0.33549</td>\n",
       "      <td>0.29656</td>\n",
       "      <td>0.25706</td>\n",
       "      <td>0.33868</td>\n",
       "      <td>0.31901</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 685 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Cells_AreaShape_Compactness  Cells_AreaShape_Eccentricity  \\\n",
       "0                      0.19575                       0.67566   \n",
       "1                      0.18472                       0.66556   \n",
       "2                      0.18254                       0.69650   \n",
       "\n",
       "   Cells_AreaShape_Extent  Cells_AreaShape_FormFactor  \\\n",
       "0                 0.40288                     0.32633   \n",
       "1                 0.39721                     0.30968   \n",
       "2                 0.39596                     0.33502   \n",
       "\n",
       "   Cells_AreaShape_MedianRadius  Cells_AreaShape_Orientation  \\\n",
       "0                       0.20267                      0.71477   \n",
       "1                       0.20009                      0.71345   \n",
       "2                       0.20420                      0.72770   \n",
       "\n",
       "   Cells_AreaShape_Solidity  Cells_AreaShape_Zernike_0_0  \\\n",
       "0                   0.39122                      0.38048   \n",
       "1                   0.39953                      0.37314   \n",
       "2                   0.39590                      0.37023   \n",
       "\n",
       "   Cells_AreaShape_Zernike_1_1  Cells_AreaShape_Zernike_2_0  ...  \\\n",
       "0                      0.61184                      0.88375  ...   \n",
       "1                      0.61074                      0.87695  ...   \n",
       "2                      0.60264                      0.88038  ...   \n",
       "\n",
       "   Nuclei_Texture_SumEntropy_DNA_5_0  Nuclei_Texture_SumEntropy_Mito_5_0  \\\n",
       "0                            0.60865                             0.38869   \n",
       "1                            0.60682                             0.39779   \n",
       "2                            0.60665                             0.39705   \n",
       "\n",
       "   Nuclei_Texture_SumEntropy_RNA_20_0  Nuclei_Texture_SumEntropy_RNA_5_0  \\\n",
       "0                             0.65364                            0.65716   \n",
       "1                             0.64013                            0.63120   \n",
       "2                             0.66616                            0.62889   \n",
       "\n",
       "   Nuclei_Texture_SumVariance_DNA_20_0  Nuclei_Texture_SumVariance_RNA_20_0  \\\n",
       "0                              0.24912                              0.33129   \n",
       "1                              0.24380                              0.30471   \n",
       "2                              0.25125                              0.33549   \n",
       "\n",
       "   Nuclei_Texture_Variance_DNA_20_0  Nuclei_Texture_Variance_ER_20_0  \\\n",
       "0                           0.28864                          0.27106   \n",
       "1                           0.28554                          0.27852   \n",
       "2                           0.29656                          0.25706   \n",
       "\n",
       "   Nuclei_Texture_Variance_RNA_10_0  Nuclei_Texture_Variance_RNA_20_0  \n",
       "0                           0.35254                           0.32675  \n",
       "1                           0.35157                           0.31637  \n",
       "2                           0.33868                           0.31901  \n",
       "\n",
       "[3 rows x 685 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(complete_features_df.shape)\n",
    "complete_features_df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "encoder_architecture = [250]\n",
    "decoder_architecture = [250]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "cp_vae = VAE(\n",
    "    input_dim=train_features_df.shape[1],\n",
    "    latent_dim=90,\n",
    "    batch_size=32,\n",
    "    encoder_batch_norm=True,\n",
    "    epochs=58,\n",
    "    learning_rate=0.0001,\n",
    "    encoder_architecture=encoder_architecture,\n",
    "    decoder_architecture=decoder_architecture,\n",
    "    beta=1,\n",
    "    verbose=True,\n",
    ")\n",
    "\n",
    "cp_vae.compile_vae()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/58\n",
      "1258/1258 [==============================] - 8s 5ms/step - loss: 126.0757 - recon: 52.4382 - kl: 9.2754 - val_loss: 18.1324 - val_recon: 10.8175 - val_kl: 7.3149\n",
      "Epoch 2/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 12.8737 - recon: 6.9005 - kl: 3.9831 - val_loss: 8.1065 - val_recon: 4.9796 - val_kl: 3.1269\n",
      "Epoch 3/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 6.8315 - recon: 4.1045 - kl: 2.0128 - val_loss: 5.0443 - val_recon: 3.3111 - val_kl: 1.7332\n",
      "Epoch 4/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 4.3840 - recon: 2.8638 - kl: 1.1270 - val_loss: 3.4624 - val_recon: 2.3996 - val_kl: 1.0628\n",
      "Epoch 5/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 3.0319 - recon: 2.1313 - kl: 0.6859 - val_loss: 2.5959 - val_recon: 1.8200 - val_kl: 0.7760\n",
      "Epoch 6/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 2.2398 - recon: 1.6897 - kl: 0.4387 - val_loss: 2.3255 - val_recon: 1.5012 - val_kl: 0.8243\n",
      "Epoch 7/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.8018 - recon: 1.4298 - kl: 0.2779 - val_loss: 1.5900 - val_recon: 1.2892 - val_kl: 0.3007\n",
      "Epoch 8/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.5105 - recon: 1.2825 - kl: 0.1669 - val_loss: 1.4606 - val_recon: 1.1765 - val_kl: 0.2841\n",
      "Epoch 9/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.3137 - recon: 1.1894 - kl: 0.0943 - val_loss: 1.2804 - val_recon: 1.1051 - val_kl: 0.1753\n",
      "Epoch 10/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.2012 - recon: 1.1351 - kl: 0.0517 - val_loss: 1.4419 - val_recon: 1.0687 - val_kl: 0.3732\n",
      "Epoch 11/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.1399 - recon: 1.0999 - kl: 0.0292 - val_loss: 1.1705 - val_recon: 1.0389 - val_kl: 0.1316\n",
      "Epoch 12/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.1052 - recon: 1.0813 - kl: 0.0162 - val_loss: 1.3428 - val_recon: 1.0269 - val_kl: 0.3159\n",
      "Epoch 13/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0816 - recon: 1.0675 - kl: 0.0099 - val_loss: 1.7454 - val_recon: 1.0201 - val_kl: 0.7253\n",
      "Epoch 14/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0842 - recon: 1.0609 - kl: 0.0064 - val_loss: 1.2292 - val_recon: 1.0118 - val_kl: 0.2174\n",
      "Epoch 15/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0499 - recon: 1.0564 - kl: 0.0043 - val_loss: 1.5693 - val_recon: 1.0072 - val_kl: 0.5621\n",
      "Epoch 16/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0694 - recon: 1.0532 - kl: 0.0034 - val_loss: 1.3102 - val_recon: 0.9998 - val_kl: 0.3104\n",
      "Epoch 17/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0695 - recon: 1.0516 - kl: 0.0024 - val_loss: 1.2110 - val_recon: 1.0030 - val_kl: 0.2080\n",
      "Epoch 18/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0404 - recon: 1.0510 - kl: 0.0019 - val_loss: 1.0731 - val_recon: 1.0020 - val_kl: 0.0712\n",
      "Epoch 19/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0681 - recon: 1.0490 - kl: 0.0014 - val_loss: 1.0355 - val_recon: 1.0015 - val_kl: 0.0339\n",
      "Epoch 20/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0381 - recon: 1.0483 - kl: 0.0013 - val_loss: 1.0187 - val_recon: 0.9951 - val_kl: 0.0237\n",
      "Epoch 21/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0505 - recon: 1.0477 - kl: 0.0010 - val_loss: 1.0242 - val_recon: 0.9937 - val_kl: 0.0304\n",
      "Epoch 22/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0632 - recon: 1.0463 - kl: 9.2715e-04 - val_loss: 1.0455 - val_recon: 1.0085 - val_kl: 0.0371\n",
      "Epoch 23/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0543 - recon: 1.0459 - kl: 0.0010 - val_loss: 1.0128 - val_recon: 0.9964 - val_kl: 0.0164\n",
      "Epoch 24/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0456 - recon: 1.0463 - kl: 7.4546e-04 - val_loss: 1.0059 - val_recon: 0.9956 - val_kl: 0.0103\n",
      "Epoch 25/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0630 - recon: 1.0457 - kl: 5.5344e-04 - val_loss: 1.0003 - val_recon: 0.9937 - val_kl: 0.0066\n",
      "Epoch 26/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0280 - recon: 1.0449 - kl: 5.9299e-04 - val_loss: 1.0006 - val_recon: 0.9935 - val_kl: 0.0071\n",
      "Epoch 27/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0540 - recon: 1.0447 - kl: 5.7659e-04 - val_loss: 1.0004 - val_recon: 0.9978 - val_kl: 0.0025\n",
      "Epoch 28/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0515 - recon: 1.0450 - kl: 5.2172e-04 - val_loss: 0.9999 - val_recon: 0.9970 - val_kl: 0.0029\n",
      "Epoch 29/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0564 - recon: 1.0446 - kl: 4.8172e-04 - val_loss: 0.9979 - val_recon: 0.9948 - val_kl: 0.0031\n",
      "Epoch 30/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0257 - recon: 1.0439 - kl: 5.7570e-04 - val_loss: 0.9939 - val_recon: 0.9922 - val_kl: 0.0017\n",
      "Epoch 31/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0490 - recon: 1.0435 - kl: 5.0962e-04 - val_loss: 0.9947 - val_recon: 0.9931 - val_kl: 0.0016\n",
      "Epoch 32/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0492 - recon: 1.0436 - kl: 4.0793e-04 - val_loss: 1.0094 - val_recon: 1.0082 - val_kl: 0.0012\n",
      "Epoch 33/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0307 - recon: 1.0441 - kl: 3.8157e-04 - val_loss: 0.9919 - val_recon: 0.9905 - val_kl: 0.0014\n",
      "Epoch 34/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0532 - recon: 1.0427 - kl: 5.5058e-04 - val_loss: 0.9952 - val_recon: 0.9945 - val_kl: 7.1853e-04\n",
      "Epoch 35/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0466 - recon: 1.0433 - kl: 3.5338e-04 - val_loss: 0.9978 - val_recon: 0.9958 - val_kl: 0.0020\n",
      "Epoch 36/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0500 - recon: 1.0430 - kl: 3.7450e-04 - val_loss: 1.0088 - val_recon: 1.0075 - val_kl: 0.0013\n",
      "Epoch 37/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0426 - recon: 1.0435 - kl: 2.8958e-04 - val_loss: 1.0039 - val_recon: 1.0028 - val_kl: 0.0011\n",
      "Epoch 38/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0395 - recon: 1.0425 - kl: 3.2760e-04 - val_loss: 0.9946 - val_recon: 0.9937 - val_kl: 9.0509e-04\n",
      "Epoch 39/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0594 - recon: 1.0431 - kl: 3.3030e-04 - val_loss: 0.9928 - val_recon: 0.9918 - val_kl: 9.8338e-04\n",
      "Epoch 40/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0514 - recon: 1.0427 - kl: 3.0725e-04 - val_loss: 0.9930 - val_recon: 0.9919 - val_kl: 0.0011\n",
      "Epoch 41/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0356 - recon: 1.0424 - kl: 2.5124e-04 - val_loss: 0.9942 - val_recon: 0.9936 - val_kl: 5.8613e-04\n",
      "Epoch 42/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0653 - recon: 1.0426 - kl: 2.6316e-04 - val_loss: 0.9963 - val_recon: 0.9953 - val_kl: 0.0010\n",
      "Epoch 43/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0401 - recon: 1.0420 - kl: 2.5538e-04 - val_loss: 1.0073 - val_recon: 1.0068 - val_kl: 4.5031e-04\n",
      "Epoch 44/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0361 - recon: 1.0419 - kl: 1.9781e-04 - val_loss: 0.9930 - val_recon: 0.9918 - val_kl: 0.0012\n",
      "Epoch 45/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0234 - recon: 1.0421 - kl: 1.6838e-04 - val_loss: 0.9915 - val_recon: 0.9903 - val_kl: 0.0012\n",
      "Epoch 46/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0490 - recon: 1.0419 - kl: 2.7259e-04 - val_loss: 0.9931 - val_recon: 0.9919 - val_kl: 0.0012\n",
      "Epoch 47/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0109 - recon: 1.0422 - kl: 2.3529e-04 - val_loss: 0.9918 - val_recon: 0.9911 - val_kl: 7.2014e-04\n",
      "Epoch 48/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0221 - recon: 1.0413 - kl: 1.5127e-04 - val_loss: 1.0049 - val_recon: 1.0047 - val_kl: 2.5414e-04\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 49/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0288 - recon: 1.0420 - kl: 1.4922e-04 - val_loss: 1.0032 - val_recon: 1.0007 - val_kl: 0.0025\n",
      "Epoch 50/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0428 - recon: 1.0415 - kl: 2.2649e-04 - val_loss: 0.9935 - val_recon: 0.9925 - val_kl: 9.5175e-04\n",
      "Epoch 51/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0516 - recon: 1.0416 - kl: 1.5856e-04 - val_loss: 0.9925 - val_recon: 0.9920 - val_kl: 5.4374e-04\n",
      "Epoch 52/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0599 - recon: 1.0414 - kl: 1.3517e-04 - val_loss: 0.9923 - val_recon: 0.9916 - val_kl: 6.6294e-04\n",
      "Epoch 53/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0361 - recon: 1.0415 - kl: 1.2005e-04 - val_loss: 0.9900 - val_recon: 0.9897 - val_kl: 3.5508e-04\n",
      "Epoch 54/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0520 - recon: 1.0412 - kl: 2.3481e-04 - val_loss: 0.9946 - val_recon: 0.9933 - val_kl: 0.0013\n",
      "Epoch 55/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0184 - recon: 1.0412 - kl: 1.8052e-04 - val_loss: 0.9915 - val_recon: 0.9895 - val_kl: 0.0020\n",
      "Epoch 56/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0431 - recon: 1.0413 - kl: 2.2729e-04 - val_loss: 0.9912 - val_recon: 0.9908 - val_kl: 3.5920e-04\n",
      "Epoch 57/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0414 - recon: 1.0403 - kl: 2.6480e-04 - val_loss: 0.9905 - val_recon: 0.9891 - val_kl: 0.0014\n",
      "Epoch 58/58\n",
      "1258/1258 [==============================] - 5s 4ms/step - loss: 1.0346 - recon: 1.0408 - kl: 2.0955e-04 - val_loss: 0.9968 - val_recon: 0.9961 - val_kl: 7.4401e-04\n"
     ]
    }
   ],
   "source": [
    "cp_vae.train(x_train=train_features_df, x_test=valid_features_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.keras.engine.functional.Functional at 0x7f09248831d0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cp_vae.vae"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>loss</th>\n",
       "      <th>recon</th>\n",
       "      <th>kl</th>\n",
       "      <th>val_loss</th>\n",
       "      <th>val_recon</th>\n",
       "      <th>val_kl</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>61.713570</td>\n",
       "      <td>52.438210</td>\n",
       "      <td>9.275378</td>\n",
       "      <td>18.132429</td>\n",
       "      <td>10.817516</td>\n",
       "      <td>7.314918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.883592</td>\n",
       "      <td>6.900471</td>\n",
       "      <td>3.983102</td>\n",
       "      <td>8.106513</td>\n",
       "      <td>4.979610</td>\n",
       "      <td>3.126904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6.117237</td>\n",
       "      <td>4.104456</td>\n",
       "      <td>2.012779</td>\n",
       "      <td>5.044339</td>\n",
       "      <td>3.311099</td>\n",
       "      <td>1.733239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.990814</td>\n",
       "      <td>2.863768</td>\n",
       "      <td>1.127050</td>\n",
       "      <td>3.462379</td>\n",
       "      <td>2.399555</td>\n",
       "      <td>1.062824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.817169</td>\n",
       "      <td>2.131252</td>\n",
       "      <td>0.685917</td>\n",
       "      <td>2.595939</td>\n",
       "      <td>1.819976</td>\n",
       "      <td>0.775961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2.128380</td>\n",
       "      <td>1.689676</td>\n",
       "      <td>0.438703</td>\n",
       "      <td>2.325505</td>\n",
       "      <td>1.501199</td>\n",
       "      <td>0.824306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1.707771</td>\n",
       "      <td>1.429844</td>\n",
       "      <td>0.277927</td>\n",
       "      <td>1.589963</td>\n",
       "      <td>1.289226</td>\n",
       "      <td>0.300737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1.449400</td>\n",
       "      <td>1.282467</td>\n",
       "      <td>0.166932</td>\n",
       "      <td>1.460604</td>\n",
       "      <td>1.176477</td>\n",
       "      <td>0.284127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1.283736</td>\n",
       "      <td>1.189440</td>\n",
       "      <td>0.094298</td>\n",
       "      <td>1.280380</td>\n",
       "      <td>1.105052</td>\n",
       "      <td>0.175327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1.186810</td>\n",
       "      <td>1.135126</td>\n",
       "      <td>0.051684</td>\n",
       "      <td>1.441907</td>\n",
       "      <td>1.068678</td>\n",
       "      <td>0.373229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1.129063</td>\n",
       "      <td>1.099909</td>\n",
       "      <td>0.029154</td>\n",
       "      <td>1.170496</td>\n",
       "      <td>1.038905</td>\n",
       "      <td>0.131590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1.097493</td>\n",
       "      <td>1.081274</td>\n",
       "      <td>0.016218</td>\n",
       "      <td>1.342774</td>\n",
       "      <td>1.026883</td>\n",
       "      <td>0.315891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1.077365</td>\n",
       "      <td>1.067460</td>\n",
       "      <td>0.009906</td>\n",
       "      <td>1.745442</td>\n",
       "      <td>1.020112</td>\n",
       "      <td>0.725329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1.067227</td>\n",
       "      <td>1.060859</td>\n",
       "      <td>0.006368</td>\n",
       "      <td>1.229201</td>\n",
       "      <td>1.011768</td>\n",
       "      <td>0.217434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1.060664</td>\n",
       "      <td>1.056396</td>\n",
       "      <td>0.004269</td>\n",
       "      <td>1.569289</td>\n",
       "      <td>1.007183</td>\n",
       "      <td>0.562105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1.056663</td>\n",
       "      <td>1.053221</td>\n",
       "      <td>0.003441</td>\n",
       "      <td>1.310230</td>\n",
       "      <td>0.999812</td>\n",
       "      <td>0.310418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1.054008</td>\n",
       "      <td>1.051575</td>\n",
       "      <td>0.002433</td>\n",
       "      <td>1.211032</td>\n",
       "      <td>1.003001</td>\n",
       "      <td>0.208031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1.052846</td>\n",
       "      <td>1.050979</td>\n",
       "      <td>0.001867</td>\n",
       "      <td>1.073136</td>\n",
       "      <td>1.001985</td>\n",
       "      <td>0.071152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1.050482</td>\n",
       "      <td>1.049044</td>\n",
       "      <td>0.001436</td>\n",
       "      <td>1.035481</td>\n",
       "      <td>1.001542</td>\n",
       "      <td>0.033939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1.049564</td>\n",
       "      <td>1.048277</td>\n",
       "      <td>0.001288</td>\n",
       "      <td>1.018747</td>\n",
       "      <td>0.995062</td>\n",
       "      <td>0.023685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1.048780</td>\n",
       "      <td>1.047747</td>\n",
       "      <td>0.001033</td>\n",
       "      <td>1.024169</td>\n",
       "      <td>0.993730</td>\n",
       "      <td>0.030439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1.047262</td>\n",
       "      <td>1.046335</td>\n",
       "      <td>0.000927</td>\n",
       "      <td>1.045537</td>\n",
       "      <td>1.008453</td>\n",
       "      <td>0.037084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1.046934</td>\n",
       "      <td>1.045893</td>\n",
       "      <td>0.001042</td>\n",
       "      <td>1.012785</td>\n",
       "      <td>0.996380</td>\n",
       "      <td>0.016404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1.047095</td>\n",
       "      <td>1.046349</td>\n",
       "      <td>0.000745</td>\n",
       "      <td>1.005897</td>\n",
       "      <td>0.995644</td>\n",
       "      <td>0.010253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1.046226</td>\n",
       "      <td>1.045675</td>\n",
       "      <td>0.000553</td>\n",
       "      <td>1.000343</td>\n",
       "      <td>0.993743</td>\n",
       "      <td>0.006600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1.045456</td>\n",
       "      <td>1.044863</td>\n",
       "      <td>0.000593</td>\n",
       "      <td>1.000556</td>\n",
       "      <td>0.993493</td>\n",
       "      <td>0.007063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1.045237</td>\n",
       "      <td>1.044661</td>\n",
       "      <td>0.000577</td>\n",
       "      <td>1.000353</td>\n",
       "      <td>0.997844</td>\n",
       "      <td>0.002510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1.045503</td>\n",
       "      <td>1.044981</td>\n",
       "      <td>0.000522</td>\n",
       "      <td>0.999863</td>\n",
       "      <td>0.996965</td>\n",
       "      <td>0.002898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1.045108</td>\n",
       "      <td>1.044626</td>\n",
       "      <td>0.000482</td>\n",
       "      <td>0.997924</td>\n",
       "      <td>0.994814</td>\n",
       "      <td>0.003110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1.044502</td>\n",
       "      <td>1.043927</td>\n",
       "      <td>0.000576</td>\n",
       "      <td>0.993926</td>\n",
       "      <td>0.992220</td>\n",
       "      <td>0.001706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>1.044030</td>\n",
       "      <td>1.043520</td>\n",
       "      <td>0.000510</td>\n",
       "      <td>0.994702</td>\n",
       "      <td>0.993062</td>\n",
       "      <td>0.001640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>1.044015</td>\n",
       "      <td>1.043607</td>\n",
       "      <td>0.000408</td>\n",
       "      <td>1.009445</td>\n",
       "      <td>1.008248</td>\n",
       "      <td>0.001198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>1.044524</td>\n",
       "      <td>1.044142</td>\n",
       "      <td>0.000382</td>\n",
       "      <td>0.991924</td>\n",
       "      <td>0.990533</td>\n",
       "      <td>0.001391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1.043231</td>\n",
       "      <td>1.042680</td>\n",
       "      <td>0.000551</td>\n",
       "      <td>0.995202</td>\n",
       "      <td>0.994483</td>\n",
       "      <td>0.000719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>1.043628</td>\n",
       "      <td>1.043275</td>\n",
       "      <td>0.000353</td>\n",
       "      <td>0.997799</td>\n",
       "      <td>0.995776</td>\n",
       "      <td>0.002024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>1.043351</td>\n",
       "      <td>1.042976</td>\n",
       "      <td>0.000375</td>\n",
       "      <td>1.008813</td>\n",
       "      <td>1.007501</td>\n",
       "      <td>0.001313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>1.043761</td>\n",
       "      <td>1.043472</td>\n",
       "      <td>0.000290</td>\n",
       "      <td>1.003909</td>\n",
       "      <td>1.002797</td>\n",
       "      <td>0.001112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>1.042866</td>\n",
       "      <td>1.042540</td>\n",
       "      <td>0.000328</td>\n",
       "      <td>0.994612</td>\n",
       "      <td>0.993707</td>\n",
       "      <td>0.000905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>1.043388</td>\n",
       "      <td>1.043058</td>\n",
       "      <td>0.000330</td>\n",
       "      <td>0.992789</td>\n",
       "      <td>0.991805</td>\n",
       "      <td>0.000983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>1.042989</td>\n",
       "      <td>1.042682</td>\n",
       "      <td>0.000307</td>\n",
       "      <td>0.992985</td>\n",
       "      <td>0.991907</td>\n",
       "      <td>0.001079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>1.042693</td>\n",
       "      <td>1.042441</td>\n",
       "      <td>0.000251</td>\n",
       "      <td>0.994200</td>\n",
       "      <td>0.993614</td>\n",
       "      <td>0.000586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>1.042858</td>\n",
       "      <td>1.042593</td>\n",
       "      <td>0.000263</td>\n",
       "      <td>0.996319</td>\n",
       "      <td>0.995318</td>\n",
       "      <td>0.001001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>1.042237</td>\n",
       "      <td>1.041982</td>\n",
       "      <td>0.000255</td>\n",
       "      <td>1.007280</td>\n",
       "      <td>1.006829</td>\n",
       "      <td>0.000450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>1.042052</td>\n",
       "      <td>1.041854</td>\n",
       "      <td>0.000198</td>\n",
       "      <td>0.993038</td>\n",
       "      <td>0.991831</td>\n",
       "      <td>0.001207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>1.042282</td>\n",
       "      <td>1.042114</td>\n",
       "      <td>0.000168</td>\n",
       "      <td>0.991473</td>\n",
       "      <td>0.990306</td>\n",
       "      <td>0.001167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>1.042146</td>\n",
       "      <td>1.041874</td>\n",
       "      <td>0.000273</td>\n",
       "      <td>0.993052</td>\n",
       "      <td>0.991877</td>\n",
       "      <td>0.001175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>1.042394</td>\n",
       "      <td>1.042159</td>\n",
       "      <td>0.000235</td>\n",
       "      <td>0.991810</td>\n",
       "      <td>0.991090</td>\n",
       "      <td>0.000720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>1.041481</td>\n",
       "      <td>1.041330</td>\n",
       "      <td>0.000151</td>\n",
       "      <td>1.004936</td>\n",
       "      <td>1.004681</td>\n",
       "      <td>0.000254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>1.042127</td>\n",
       "      <td>1.041978</td>\n",
       "      <td>0.000149</td>\n",
       "      <td>1.003163</td>\n",
       "      <td>1.000685</td>\n",
       "      <td>0.002478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>1.041681</td>\n",
       "      <td>1.041453</td>\n",
       "      <td>0.000226</td>\n",
       "      <td>0.993471</td>\n",
       "      <td>0.992519</td>\n",
       "      <td>0.000952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>1.041736</td>\n",
       "      <td>1.041579</td>\n",
       "      <td>0.000159</td>\n",
       "      <td>0.992541</td>\n",
       "      <td>0.991997</td>\n",
       "      <td>0.000544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>1.041577</td>\n",
       "      <td>1.041442</td>\n",
       "      <td>0.000135</td>\n",
       "      <td>0.992272</td>\n",
       "      <td>0.991608</td>\n",
       "      <td>0.000663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>1.041622</td>\n",
       "      <td>1.041503</td>\n",
       "      <td>0.000120</td>\n",
       "      <td>0.990018</td>\n",
       "      <td>0.989662</td>\n",
       "      <td>0.000355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>1.041391</td>\n",
       "      <td>1.041157</td>\n",
       "      <td>0.000235</td>\n",
       "      <td>0.994610</td>\n",
       "      <td>0.993297</td>\n",
       "      <td>0.001314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>1.041428</td>\n",
       "      <td>1.041248</td>\n",
       "      <td>0.000181</td>\n",
       "      <td>0.991522</td>\n",
       "      <td>0.989515</td>\n",
       "      <td>0.002007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>1.041495</td>\n",
       "      <td>1.041268</td>\n",
       "      <td>0.000227</td>\n",
       "      <td>0.991184</td>\n",
       "      <td>0.990825</td>\n",
       "      <td>0.000359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>1.040606</td>\n",
       "      <td>1.040341</td>\n",
       "      <td>0.000265</td>\n",
       "      <td>0.990470</td>\n",
       "      <td>0.989059</td>\n",
       "      <td>0.001411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>1.041015</td>\n",
       "      <td>1.040806</td>\n",
       "      <td>0.000210</td>\n",
       "      <td>0.996809</td>\n",
       "      <td>0.996064</td>\n",
       "      <td>0.000744</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         loss      recon        kl   val_loss  val_recon    val_kl\n",
       "0   61.713570  52.438210  9.275378  18.132429  10.817516  7.314918\n",
       "1   10.883592   6.900471  3.983102   8.106513   4.979610  3.126904\n",
       "2    6.117237   4.104456  2.012779   5.044339   3.311099  1.733239\n",
       "3    3.990814   2.863768  1.127050   3.462379   2.399555  1.062824\n",
       "4    2.817169   2.131252  0.685917   2.595939   1.819976  0.775961\n",
       "5    2.128380   1.689676  0.438703   2.325505   1.501199  0.824306\n",
       "6    1.707771   1.429844  0.277927   1.589963   1.289226  0.300737\n",
       "7    1.449400   1.282467  0.166932   1.460604   1.176477  0.284127\n",
       "8    1.283736   1.189440  0.094298   1.280380   1.105052  0.175327\n",
       "9    1.186810   1.135126  0.051684   1.441907   1.068678  0.373229\n",
       "10   1.129063   1.099909  0.029154   1.170496   1.038905  0.131590\n",
       "11   1.097493   1.081274  0.016218   1.342774   1.026883  0.315891\n",
       "12   1.077365   1.067460  0.009906   1.745442   1.020112  0.725329\n",
       "13   1.067227   1.060859  0.006368   1.229201   1.011768  0.217434\n",
       "14   1.060664   1.056396  0.004269   1.569289   1.007183  0.562105\n",
       "15   1.056663   1.053221  0.003441   1.310230   0.999812  0.310418\n",
       "16   1.054008   1.051575  0.002433   1.211032   1.003001  0.208031\n",
       "17   1.052846   1.050979  0.001867   1.073136   1.001985  0.071152\n",
       "18   1.050482   1.049044  0.001436   1.035481   1.001542  0.033939\n",
       "19   1.049564   1.048277  0.001288   1.018747   0.995062  0.023685\n",
       "20   1.048780   1.047747  0.001033   1.024169   0.993730  0.030439\n",
       "21   1.047262   1.046335  0.000927   1.045537   1.008453  0.037084\n",
       "22   1.046934   1.045893  0.001042   1.012785   0.996380  0.016404\n",
       "23   1.047095   1.046349  0.000745   1.005897   0.995644  0.010253\n",
       "24   1.046226   1.045675  0.000553   1.000343   0.993743  0.006600\n",
       "25   1.045456   1.044863  0.000593   1.000556   0.993493  0.007063\n",
       "26   1.045237   1.044661  0.000577   1.000353   0.997844  0.002510\n",
       "27   1.045503   1.044981  0.000522   0.999863   0.996965  0.002898\n",
       "28   1.045108   1.044626  0.000482   0.997924   0.994814  0.003110\n",
       "29   1.044502   1.043927  0.000576   0.993926   0.992220  0.001706\n",
       "30   1.044030   1.043520  0.000510   0.994702   0.993062  0.001640\n",
       "31   1.044015   1.043607  0.000408   1.009445   1.008248  0.001198\n",
       "32   1.044524   1.044142  0.000382   0.991924   0.990533  0.001391\n",
       "33   1.043231   1.042680  0.000551   0.995202   0.994483  0.000719\n",
       "34   1.043628   1.043275  0.000353   0.997799   0.995776  0.002024\n",
       "35   1.043351   1.042976  0.000375   1.008813   1.007501  0.001313\n",
       "36   1.043761   1.043472  0.000290   1.003909   1.002797  0.001112\n",
       "37   1.042866   1.042540  0.000328   0.994612   0.993707  0.000905\n",
       "38   1.043388   1.043058  0.000330   0.992789   0.991805  0.000983\n",
       "39   1.042989   1.042682  0.000307   0.992985   0.991907  0.001079\n",
       "40   1.042693   1.042441  0.000251   0.994200   0.993614  0.000586\n",
       "41   1.042858   1.042593  0.000263   0.996319   0.995318  0.001001\n",
       "42   1.042237   1.041982  0.000255   1.007280   1.006829  0.000450\n",
       "43   1.042052   1.041854  0.000198   0.993038   0.991831  0.001207\n",
       "44   1.042282   1.042114  0.000168   0.991473   0.990306  0.001167\n",
       "45   1.042146   1.041874  0.000273   0.993052   0.991877  0.001175\n",
       "46   1.042394   1.042159  0.000235   0.991810   0.991090  0.000720\n",
       "47   1.041481   1.041330  0.000151   1.004936   1.004681  0.000254\n",
       "48   1.042127   1.041978  0.000149   1.003163   1.000685  0.002478\n",
       "49   1.041681   1.041453  0.000226   0.993471   0.992519  0.000952\n",
       "50   1.041736   1.041579  0.000159   0.992541   0.991997  0.000544\n",
       "51   1.041577   1.041442  0.000135   0.992272   0.991608  0.000663\n",
       "52   1.041622   1.041503  0.000120   0.990018   0.989662  0.000355\n",
       "53   1.041391   1.041157  0.000235   0.994610   0.993297  0.001314\n",
       "54   1.041428   1.041248  0.000181   0.991522   0.989515  0.002007\n",
       "55   1.041495   1.041268  0.000227   0.991184   0.990825  0.000359\n",
       "56   1.040606   1.040341  0.000265   0.990470   0.989059  0.001411\n",
       "57   1.041015   1.040806  0.000210   0.996809   0.996064  0.000744"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Save training performance\n",
    "history_df = pd.DataFrame(cp_vae.vae.history.history)\n",
    "history_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "history_df.to_csv('training_data/level4_training_vanilla.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 5))\n",
    "plt.plot(history_df[\"loss\"], label=\"Training data\")\n",
    "plt.plot(history_df[\"val_loss\"], label=\"Validation data\")\n",
    "plt.title(\"Loss for VAE training on Cell Painting Level 4 data\")\n",
    "plt.ylabel(\"MSE + KL Divergence\")\n",
    "plt.xlabel(\"No. Epoch\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "158/158 [==============================] - 0s 2ms/step - loss: 0.9928 - recon: 0.9921 - kl: 7.3087e-04\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[0.9928119778633118, 0.9920812249183655, 0.0007308730273507535]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cp_vae.vae.evaluate(test_features_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "70.63997829999167"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reconstruction = pd.DataFrame(cp_vae.vae.predict(test_features_df), columns=cp_features)\n",
    "(sum(sum((np.array(test_features_df) - np.array(reconstruction)) ** 2))) ** 0.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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qNwxSMI9aQEF1bAu172KRWGXFaO5j1DxeLR5/jGuwR2zQ7YLJHz3Fs+ENIKJeKSII+6pIP6VHPeirFL5l/g7Ul99OYLL5SSoFS2/0os+7j0JpXznnNS6Ce3Gqi4pMu/BjEWRmlyeKkC3RFIjd+YZQFLK4xk315Ek13VzP1DCesyrxXKjwv5p3P/lU+y4CneBYkVZDOPRLxdLr+7fyZ/vFGJ7RkFSClcYjBHr+wStmZtPu5ry2PkIwmZ9KgPXPXk7i8dIXRoDOu9j+VkDnFjNb6bruh8///a9m1uO67nccx3nWzL5hZi+Z2ey3Azqd//UBDHDHD0SCrnCRzE4kWmsI5BpP7PUl0pmXkKkc2c672qwkMrOESWSEAVFk5oHpFCI9R/ndqmM8VLk38fAVPCV8W3rJuCbH86D9sZPC8NPieuxzhXxulitykoirsM5OajKK9Er6OGaPSxAbJCJTVMtK8aLvSK3vXl4ifDbOHOF+p4n9DhA5ncI9ZHpnTvN93cI8P0NcwYbmEZgMtpLOlNVxwXxaHffvJsBaIFIlnFzDvY0OJ+BIzCXo2nOCFqIlV/God5dwHkWnSGfdIneJylmVlsU9qq3wPUMnhTP2qin0Z+sX+ZVUKLnyu/CP7DMzqwikJeDqy7g/h98Q8zfOvyaIfGWyw72o7hcCV1wHt3dwfDmzuZ4/209labGwtsxYTQXi5XWk0exB0lR8BBUDZXk9Vk/la/knfdf+tZ/zjC6dLHL3XJ2PvpZnzqAvajLXqaeY4/3uGZ6By0QCwnXcHvthyZPDCgZ6q04MG9AJSZ/0vgE6+TYEZBaYWZeZbTSz/Wa2wcwud133M47jlNhfADoXZkb+Uuz0WddHjPL5d5XJV2XrTMqi5vZSEUMDM/t8taCJqWTITwmTdabww50UxG+e7SNiDxPrPlpogSrUVDUVDRI+hwKtbTOvcgrOklmUiRD78QH8RkQoFyF1Mp/7+WGue7AIVb460Iu+vn4y+dEryVgC4rnOda9xLCV1Hp+/+4X/1ZhkCoKyOmqGg2IO+WOpLRefoyVx6l0EcN97hnO4NciLPhUVpq6BkqJp/UzKY19HPYW1Svim/BiKDhC0e2K4P3XNnNv4mTxr6tpUOdmmfJhpFo5+m/Q9YYmvwA0eT2Fb+xzBuT+dmJmlx5KeMpZxUQpfozAc/ykCmOqHCbJTb+R6+mdvNzO75ePosqaXCJRfFFGkd04lsHv2CH1qZpmISBQgLjPLi76jJSK9hzhXMekEOgcPc8zxwTTppKSR3/pnEm9uImBv7xP05OFc01dx3Vv38PxEZJIGntpNnnff10l77U/uQ1/ShuG9uhoBOn/tix3nQ2b2oJm1m9lJGwI8C81sheu6LW8FdC5sm1NuwQATI8lEM+eQ+B7fSc3jjvnCv+WgrxUh6xoe5BNPUxDECWZeK8yQiZG0QGUup5CrZy4pa2gSVhmR36P/LBlm/T4e0qQ5/O6OtcJ6Ecq5VfWQYdQECxDSR8alrF/BYRxL7BSegf4GCtwBLqlFXUuNrHcnNbKgXF9BUvMyaUe1vj7ONft27sVzD5GJ3nAdBakN8uw17BIRW6nUZLuauLcnRFLLmACuXWEAVchxrlhQ0eJj+VxTC+liwmJq863neK6iczjfzio+5wjAHzme+1G5lQDDvzTGm80iwqqP65QQxjMQJvLAeNsJMKNEBvK6Dq5TdSBpJWqQQnNqCsHz8VoqKLEio7ly0N71BPnKwvs55qo13O/drfzupUm0RsfP4z6+vkbk7xnkd2deT35R8YawjAdzraLjfedbXCRCyWM4r+4evr+gl9a/sSEEVylCqe4TGaR3VBHoTAv3om/iuVeHF+hUHBs+oJMpmPzfuA1LeLnjON8ys1oz+2cz+zOF/Tkr8lzXdamGnW8l0+mMrK4GWmrJbLK+PB19bX/ahb5jftELwQ4PT7kIU/ZPNW5mFirW0xF31aqEgYqQiR9LJnV0Nxn1Y8L8+c3RjH5Sicf6OtgZIcKVirby0GdP9qKvx0sB9HIFzbh3riBzPPU6v1FknNz0SJHTRzg3ZF3FvtPP+YLWqAgCsz2dwgITQGaWMcaLvlMnuT+BQlDL8PIGCqojB4UW6AjnVBFzPiBMnerawitChvNmcXw79nAfF87h9UvoeA/6AnKEf9hW+r7VHCYgUHvrET5tAUFcZ/9w+jdLRfJBIagj4imAQ+I5joAI7sUft4hcXAME1BNuIO01bCN/e0ZYlG+O4flWgv9MJcFFlbj2yu7nfOd9lLzh7B8JAMes5jy+ttaDvpm9/G7aAOc7Lpv6r+KP5yp5Ttv8TIKLZlAJDPJwXvs28dxmi2SlO9sInG5azb3YvYZjU1WyZo6n+EvdunkE6LyL7W9p0Ul2XbfOcZxsM1tvZgtc122+4N9L7CIsOsdGXYMBZkwl8f1EXI10CsDy+dFkylWFvlcSaXl0VFOF8R4+QVPvhB6Cn3Bj35w7yCx6z3FeoZPJpPY+RMZaEUTN8KrpNE9vP0BhMzmR1oZ6YUkKDRK5cIQf0IIJXGMVqtvVQitZUAj3rEEki8udIsKND9GisSOUG3dtqK+g7+ziONRV6NMBHIdq1/cSnCqfjWQPBZ9KXNfXxt9G5nPMTftEwckZ7HM7uY+bhWCeN4bXIBuKST/zYy4u2is8joL0rMiAmyGsf8oXo1Jk6L1aZKONW+gL4vpKxXWHKIbprSL4S72E9PmbdRSQ9+fz7IXN5Bz6Swg6O0pIfBWlHvRNuIJ8aoOobTYjQZSj6CUPOd7GK7O9Ivz/c9lc49JCCvUQwS8UIKrfIcpHCOtpygxxrur428oCj8/fR4RP1jUzuT/qWvZjxz3oe1CknshJ9fJ14np5TSvp/ZooWuvGnFw3vECn/MjwAZ2sae+rPDrPOY6TYGZ9ZvbghSDnf9OCxGFpKqDwuqqfAkJVUO5u4ZSf9QvDfqCNAuihIjKQT8/iYekStbTOFJHBvfQ0/T3GiHTroUeoA5QGkQEviCTDVC1IANvwGAqgIC+/oa6utofzfRkiDX1dP/dsbDxJ4iEvhcb1wsGy4RxBR72RAU3v5vqlLvQFmbs30cF0VByFyBfGe9HX00hmFns96+P07mMl8C4qmrIGUWI/55BdxTVRVyNd1SKNgbhuvGYcr3SPnaEV4aYHRBHXP3Hdi4RfRGozz+iACONXJSpUZenpPQLYLSTdnnvJd49iPRyvakVNHvTFnKH2/QHhyKyKDC84QkHdZASY2SEiqlTwweBFU9H31OYi9M0R0aFNzSK3jigBMbWXluyoBQQ1wcXCuq1qtNVSwYuhjmpB8aTRbRvJg1Um7Ip+37ldKUBn+VHy3/BwWpa+KsLLu0VIu7KkKaXt3hwBsEba37z93WdGLpy4EgNUTo0q74nKOOk9wef8qxlvcSn4pomEWCHiEHgiyMwq2zneYKE+TJlL82fRQTIV5a9wyPiN9D4yH5X7Z6CHa1J+jmClZkCEnAdTeG1yqEGlCZttsjBZxwSyLzGejL+yQezRldxvJ4hA5A2/mkNzc/7izalPC0/mej5xmALtbpFOoKdG1P1J5Lp3VYp0/QIoq7wyTjSF1wu/4vtWTiKzrTxLxt/WQ0BQ41DwLZtNkLRtHy0/o8NpScmcKawrraTvbi8VlJoq0oASrv7lBOITSU9nK3kdMWc5Ne3CLfxmk0h8mSqy+CamE5y+WSIimNKFVWo2wd+hF3nO0uNF1W/hQ3XKqChkqqurD3MvPvIo1/jnc4UeKywkKnp10tSLSzDa3SYc5lPIb/0zFgRG8Qzs3C4S/OXx+rJE5PpqcUmLl32T16E9Gw+hb7BbFKIV5YBmV7w4vBad0oPDZ9HJmfn+ubp6t9rBrOswwHH0T7bmbWQsvV0kSJVHZ/6UtyygbmZmr5ykQLtWXA31tlCwtjVSOJxs5jjChI/FnLlkegr89Irw20yRiTZuDp87+CKZt39FdzOzUcKvqFFcccUJh9WESQSKKhlZ6reuQt+mD+5B3+yJ3DNVwPLNelolbv2gL0Nv304Gt/8kGZcs47CE1wJNJ0VG7vnossa9pOMecY2WMoXrGfbx29H33L3b0bda1CDqFFZHFSGTLKJcxt8oEGs/AWBvKcdccIhgIi+f16bbRUkOVfLj7lwCrLA08tCHd/m+L1FM4ZprCGrWCcfZmeIa6EVxHXG5Q8BRIkqZ9Is70jaRWyd2gLxhUb5IbHqKazdvFIF8cy3Bjyq4+WYb1+DWeVz3wt0U1qWD/Ma4UK7L9gGC7Fsnkm4Lj5F+qkQW6axAXytPTDTpWNWhKm70oC9aKF7Fwmfw8nyuifKHrD0n0oXcKFInfO+lEaDzLra/e6BTOnM5Bri7msLrChFNpeqqKAJP90tzHhAliobWiBDIvaKezVhqJ5UlPMgKmLQO8ruzRF4VVSOqsp9MJUA4Qc/KI9PraiVAaGkhA/lZIMf3vRkUEGrd41MJRJtqCJKSc8kIf6T8QkTysCWXc25n3vSgL8MvFPZMifATiaWlIT6Lc+hs5NqpulEn2rlnJ8UNyqfmivssoRmX7uca5y2nGb/lKH98tozC62QIxzy2l4JP0eNvzvLu4Srj+qlEn/ErCNrrX/WiTwUgfL+EWvk04XviX9coTlhd1bXf2GyCsHCBkgpFSYRIkXYhc7ao8J1EoXnoeQKiWofEkuVwv5XTe2o6z5S6alGCeXMRAf9kAVYKuijApycRFCrFSDlkf/9lnhd1VTk9VQBUv6Stty0RGeyTOI7+cu5PWynp6bk60l1WH8e26g6+75mneG5nh/CafErxy8MLdEr2Dx/QyZ393gI6juM8ZGZXm1md67qTz/dNN7NfmVmYDTmZf8J13b2O4wTbUEbkmTbkG/Qn13W//XbfUM7ISvNIHEsNUmXSLD/tQd/6AN9DGiqW5INCiG59nQJynMeLvvTl3NfK9fyGcsArEgxkVBgPUIAozKkyNyugF5vBhfrTGVqwbk7kGih/irJmkVRNRAklimrBqYniKqOfHDghh/tdX0TmlTqVz+3xq6C8YAWZZcspdFlkCukuZDT3p/MorygckViwoYQCLSGbv+1tp2VSlZ6YPJMgW/n8XLeMYEUY8Kxsq/DjyOH+qIzH6mq2Q7gEFoeQLpJEPaRxwVyXrj6+L3eUqEPkV19o2RLO/8w2Ctb8K0Vph50cr3K8HhA0q+i4tJlKkEoaGT5FlIdRBYpTKDRVHpk+oWgph/np13Pd973A862UKk8YAYzK/xQoeNezwvH/YyIyrq+b8wiP9QWZG4uoKK2aRotRUwlBp0qdoPK4pY8n+FO5qbbUUjlOFT54K2qHOWHg+xzovFNn5D+a2c/M7E8X9H3HzP7Ndd3XHcdZff7vpWZ2i5mFuq47xXGcCDM76TjOE67rlrzVB3KvIhNp2ccD9Iuj1CpvDuFVS0E/hcv0QV9Cy44SyP4kGXdOGJmACoHsOkVN9pe91Ar+dTwZXJ0Ita3pIhMYn0HtKWEZn3v9Mc5/kYcazyXCuVtVvfbPUWJmNjqY636inlpvh7jrVo7R+0QhvGUCPDYfJaOKKOb70v38J05tpBBRVyrfE1cq9xV40dfe6UGfTKDXzr1NE/5IZ4UFb/ZdPAMvPklQM0UksDywnnuhCrGGhnFvd5+mhj9/Iq1Q506LciEib9CMPoLsrEzSj8q3o8qUhMTynPqLwk7hD6quW0s28v3twm8pWuTMUfrjhkHS2Y2pFN6qWn24uM7yL21hZtYigghGLxeVz+u4t91N/O5vXuN+zxFFOKuFxWm0SA64p4KCfsVK0t4Xukm3ncVc1MPlorxFgC8vvOZy8tWCN3mmlK/VvFVUgkzsRe1urnvm/eRbS58pQ98j9WJN+NW/bRO5m95P7R0BHdd1tzqOk+vfbWZ/hvyxNpQr58/9kY7jBJlZuA3VwCIM9msKJLQJ8+c48ho73EdijhO5b+bO9z0IThAJ+eQOMu7x03gIXhIh57fN5SG44TjHoe6gx4tqxApMqVIEqr5SVTAtEJ+uZN+1jqgZ1MDvxkXxGx1dZHonQslE704lwFKCapZwFm7czvfFiDIgqrBrTaUv/cyeT0aochX965dId89/j9+8Yjwl6QZhIbvpm/zGka9yvDlC8PfXcr+vvozAu/k412nctfQZK32cc+sWOU/UXrxQyLnNDuRYckU4fa0ILIgZL6xfh0Ta/W5qzEN5SX1bfpyvwH2+nID1qnjhiCqirqZPJq30tHKdItNF4j4hDAtqhN9SAvf7tFDwx08gbwgfy7P38qsUpDNFlGbKRO7PPRGk5ZcELd/9XUYaVn+L47tcOOo7oVyXTa/SWp5oBGcqQWJRja+1M+XDXOOAzRyHyrwclM3fDtZTbB1o4XOtP+U+Roh0Fx/KEdfVI+1dbe/YR+c80HnlgqurfDNbZ0NVywPMbKHruqXnr64eMbPLzSzCzD7ruu5v/sI7/7sExPcnjp11b6YvMj5+mAKiPoAHfLy4S85ZTM2t+ZivsIoZRdS0bReZY3MghVyMcBpcMoeEvHMfNaUZOWS236jlAfpHEb0SHkUmcExkyp07nYz60GEywqn5HEtwHGnlpb3iamQ2mWPFEZq7Va4a5ctTIDKbrgmnAP9cCjXDYAF0ys76MsJBEbGXksw1PlZDsDsxkQKjs4O0GJtAunta3PXfI4ph/lr4KN0aSiZ6SPgBjRKCv3dQgMRQaumpOaKadQ0BsMoo+7pxv68P4VqVi4rzSuCcGSQgmhEuLIfCmuZf6f5AB6/9VDbicZG8BopJ5Hp667kmUTFcT1UdO0bUDtvX40Hf5Wk8twmreb5/9UdRJFWUEMmYRSDaI+qGKuduV1wthsxktfozv+L6eUW4elMAAeukKO5t9q0E45t/x/n2+DGWOVmcmMoiPk1Ul/9dOfn0R8fwjDZXkgYyriOAO/gwz15EEHn3cEdd9ZzbPWxXV6Gj57+3fHTMJND5iZltcV33OcdxbjWzB1zXXe44ziIz+4SZ3W9mcWa2zcyudF2XiR8uaB3fvg8D7DtM89/OzfQTWLicgm9QJEurP+VLpMlTyMyUQ2j5AVpC4pIo0BTgmC+sCMEZPCzbnhN3+OJAqqaS9FVW8n3j5vGaJiiZmocjkEn5BpHYawKZqIq4GTWe3w3LJuN6QVT5vkH4mai9fWIvrzTv/6QvY218lvTUUEvBun+Q+z3LISAqF4VJo1yOLSuegiAqjoLvnAB6R4K5P3cKgKn2URUELdnJuUVE8DkFqNu9FF7KOrBJ7IUSaMHBXKuEfK5LazFpRVnwAv2S3rVWc02Uc67ybYkQuVa+L5Jm/qPIhRObTL7SI/yvVHu2ifwtQwCOZlG0+MZRFMzqGlpZhWNvGY++cz8SRXC7CeKmeni+Pelcg8E+jlnVJLwsmtfz0Qmki44mX0XjRBPPT04oeVRQoHDc7+S8mkXKihmCD4yaz/O9fRt5WW44xzLczsgjQOftXkCg02JmHtd1XWdIMra4rhvjOM7PzWy367qPnH/uITNb67ru02/1/sarlmCAL4vcJQtFdtZ/EhWzfyuq8frn7QhOFI6ETTwETWVE7OVNBBKqBISMiLpNZUvmAVLZjevE4btJJDR87CDXbnEA1yQ5g999tYzfvWUxmV5bIccSGkMTc2g2NbmNr9Na1y4sZwtjaRbvFZaFjEvJCP/tTV/LzL2izlO3cHRVp1MVOKwSuWZUhEz+5WSEZdspXOs62Tc6jdYR5Rhe3kIAM3eFiIY5TMB6oIEAPVpc/Spn7kPraTXJTfOiz78Ao5lZg5fAwT8XjplZRqqwuAhrbF+z784N9F5crqKpl3Gdag7wzGcIh4p1z9G6NieNCkpLE98X46FFyzNexMQLB/LGY+R5ER6uiSqVUVdKWnlukIL+3piLO3u9IgKuVxToVckQz/bwuyo0PXseQULwdF/r0oYfE5xOjOP5UY7H6ozuWs9zodKArD1AXrsomTTgbRYlbkrX/J8HOo7jBNpQMfBK13Wvfiff/FtkRq4ysyVmttnMlplZwfn+MjNb5jjOozZ0dTXfzH70di978yCR/fXL6NuxbhOR8pVCu6k8RMAy6i5fAq9bQy1TZbmMz6bwam2jtqgq7AaHi9wj54RJOIeHb14b518tQtgDY7i9XYI5jvvKKPR1rzuMvtxzZBiKsZbWcyzT5vKAb1hLLbVT7Nl4AUQ8WRQG+0XF47D9HPOXR/sypYqzHjwz8Soy0JbD3LPf1/HaL6efcxg7k9pt0RZ+NyaG82oTkXdPNHPtwgSruimLDFiBmnN1wjkzmPO4VNTl6feKsN+lBAkluzkPVZlerb0TLsL4T1CAn95NwBLml8k2MpK/m3E9z2jLIc4/bQGBc+lrFFSJolBl7HiRPbiS3w1J4HpW7aeFMWOhyLQsMh6rPD/3iaSRyidr2QDn0dFOIB8dy7GodAwqR9KiscJvpwRd1iZKL7yxVbgAnPCl0Wkp5N0pdxOEJO3l5ULNPu7t4o9ybE2vc+2EK6VtbOC5jevn+Kbzp3/b9vfpjPwZMztlJu7B/5ftHQEdx3GesKGIqkTHcSrM7Gtm9hEz+/F5p+NuO+9rY2Y/N7M/mNlxG1KO/+C67tG3+8Z8UVelv4kM45TISfJxYbKNupSCqe+c7xXXd1rILP9zMQVVgMhEW3eYQGfCcjLzxnXUFE6fobBJPEUwlXMtBcZAkSh4t5nM8b4xZHDVP6OGFhrJMYeK2mFBIoS9SlRk3iGi4iYJa2K9ADrXzKH2FTKRDCOvzIu+6FQKJv+mcho9IyxLnYJx3SecWNtEDqI9ewnCOgL43eX5pIuuHaKiu7AI3p5NALyrkN/NCKBQyhHXaOPCaUVQWv8aofXP6iZdzF/KtQq9/lL0tf1uM/raeQttG5uFg/d80ndglC+b27qBe7vnZeG0LQD2hDwqQbEJQuHpIhg4+ib5ysRpnFhQ4ttXYDfTBWBjRXRfpRjLm6I2oPJpnHg/RcTxP9ByWFJDXpPbQsCqih4HkY1a1nz+trOUz41PELWujvnSo/IFXPNTArjJPeQpzf5pls0s/DXhkC/87T7yjwRJHa+fRV9wMmnv/3pzHCfTzK4ys2+a2efe6fveadTVHX/hn2aJZ9ttKMT8f9V2lZGABulSYZ+/n8x7oIIEVPsChabjJ3DuEYU5u0pFrow+CtEDYfxm2EM8jC+Hk+ndF0bGmrOavz32FA9QuEh939xDBjdwllcKwcJ0nHYPNaXqn3jRF5lCBrwkkOA0r8KDvuhwMptZceIOv5fM8dwjfG7DINd0+lGOb+4dvuuc2erFM1WlBCuLYvicKtynchpNy6NAO11ETfvkNs4hVICaD6SS2UZOIsAMLEQXEiaamRWV0o+hzsv3rbiaoHjuGtLenGWc7y93Upu//uA+9O3pJIA5JOj7K8Jxu2AP5+Ff/FI5kLe18azUdFMCO+J8dwk/m4w0Akd1TdXt5fu+coYW0f8Q0ZdVpwgwlZ/Jp2KppD0vLIKFLr+b/Qd02ShX+BqJbIM14spVFKG3I/s5liCR+FBlIe+qFFeaU3wBW91pXoWKzAkWE0R+5Ag/KNU+8hUqqWv/jes+O1NE6C2nI/ewN5GV/2/VLgw2Ot9+IwKTfmRmXzQzalZ/RftbFvV8V1qvgONXzqPW1rGLz4WQ51kQ+Zl1+2WyVUnH6su53nkfIKO55vc0Re8J5nMfFREoKhFi+2GeyPGzaRJuKBBFFLNFBtNCClJVWPGkCI2MFNxh/0EC0fGpPOA5ueI6UFRGbqvjBlUdp4CQEVvEazYum8yxt8B3nf9QQ+12lnAeVqb40ydoHRg9ivNX9ckmjaeFo7laOMD2cN1VNFnpejJ05XSpfjvzToL27hMEK/W7CACniHlU7+c8lvURyMdmUGjOqiZIyBJCUznUqrpoDQd82Vzah3PxTEo1gUTHw8Kv7IP3oS9w36PoO1XJczY5VwRHiPuN7y0hb1i/niAxP5zrVNFOPjU5hfsTRRI1zwBpdJ6IZGxoIJ3N8PCcbW0mkF89jry76pwHfWm5nFvhDj5XMMixHPBzM7iuWzjQq7qugn+MzuBetDfzDMSX8PotT/DzHVW8Ubj27/Pa6G/WzoMaGXFtZuY4zp+TEB9wHGfpu/HNv9oZ2XGcLBtKFJhqQzFJv3Fd98dvkRn5CjP7TzMLsaEcOl9wXXfT233nK7l3YoCfHU2iOnmcAmfaJWReKlIqc5ovIAhbMQXPND96En1hiTwZrWU8QXETSfD/totazCdFBEptI03C46aTqZSf8KCvuocAoTmQ2LZZWE5jxNkrEQ6M9yWQiVZWCx+dj9DcXb+G3PZJoWmudEXqfKG5Rgn/lviZHHNfjV/mVGHGnyr2IjySDNOTz70NyvSgr+x54bMhonAi0jmvHpGz7OxZChFPGOevHFt7e0RCOhFNFebh3J4/JXwbhI9Bi3Agv2k1habye+pqJ62kXUG6DZw8Fn2Hv0Zzb7n5CqbVt1CI+lc4NzOrExadyiCOI01kts2IIOAKEpbTfZ20sF4lauipAIwrx9KiFZoiktkdoWBW0X2lJbRKBItM6h39XIMZqwgIaveqPEdsv+ryoO+zSSR6VbrkjChdcpPf9fzrZ7l2E8S1ZHIClQJVskLxnvQ80lQIj6j9VkQeJgk/8w9UPjq8zsintwyfM/KEJW85N8dxvm1m99gQfgizIR+d513Xvfuv/eY7ATppZpbmuu5Bx3GizeyAmV1vQyanH16QGfmLrusudRxnhpnVuq5b5TjOZDNb57ou1RS/5r1rGQaoHI/TXAqSaVeIHCfFJNLjBb4gKS6YTCAti9YRFY5ZU0brTWwsBVpkAsfb2yGiFERh0tZWUchukhd9dWcJklSekRSxdikeHvqjLWTKi0bRL6RTXHmERYvieKV8n9fIuBIcjq/IIYi79kqCro4zIqFYoa+p76AI1V4eJhKqTabw6vOiy0rO0JSYIJLlqTWJu5JAr+wxEYbuIY1GpHKujx4hk79aRM1EJREQqXlUiyKKqcLnZ5dwvFgosm1PulNcCdeS9lRtoj2PkQZixdnNm+ULWk/soQQalcP9PlLCvZgxmleGvZ08oyrYIGYW165uM59TexG1kIpc2dOkqdwvTUBfzU+PoU+FzsfFc38O1XKtlJ9NnzCx1otI0Nw+0ryqD1hfQd6VdyO/UfEKab6+1XduE2cJhfc4lbE2kfVa1Q7rFnmoZi4XxX2Pki7ip3K8XaX8Rtr2N//PAp0L23mLzuf/v0Vdua5bbWbV5/+/zXGcU2aWYX8hM7LruhfWrD9hZmGO44S6rvuW3qKKwc0WFYQ9OSJa5SwJsruNxOz6BQ7nf5gM9I1fkTHMnyCin4QVJVYkbfudSAI3t5uHYPalFN6eTs61+hQtVS2dZKxX3k0hUviMqFOTRqa3agXXc+PTBJ2jRULDpHlk6BmdBI9ljWTol17hRd/XN5HJp79CjXTmUjK58ZG+fTnCT6K6gowwqoKkqq4eJt3HvqN/JOMObhEVlH9FQTDjPu5jy1ZB7+Wk7dtEhe/wUZzvd7eQHkcLv4vbvszzeOYH3AtVLy5SlEroOkJa2X2M/mHxIivu5IkEHQMid1RPo2+fqt/0byIC8AaH33xRZFWeNcCzoub65vMe9LULa+roen53TjLBwPYujuXlb/C568LJ5pVVYm8dz950DwFg+jJ02UALz0ZPJb/R5aUio5TDMddyDY4+Qd469V7OLemk7/lWgQCLb6LyUPI6iVbVBlQuBoHRPHtn6zzom3RWmGdl4ophbsPoo/P/o70r1cvP59LZamaTbQjsIDOy3/M3m9nHXNdd/hfe99/OSv8cN3XWTVG5Pv8+/lPUNOufoMlahXOq5p8sLSmdjFAl39tWw/vWBfEkZKW5V5fzcGeN5XVJSKKoZ1NAZpF0G4XDyZ8RSERFkCEVtVKo1weRA189lSb1sHz+9nlRoXe5SHNeLBLhzfzlbPSVfHEr+kpFRt1IR6Tdv5MCZ6DZVzDteY0m8S4h5KenU4jU1HAcY+fwSu7sPs41SDDR1AzumfJF2VlDwbw0j8Db33plZhYeTHo85BIo3yxqBL25jt+dlkKaj4jjN1T+mqoy0k9ZP5WKK64XeYPOUYF44wSvBhb7hdg31RKshYaJ+wPRgoK4Z0rJ+vAx0sW1A5yrYCu2wkM6U2HjKlqwMECEQydeXGSgarHxXOPYfHG9KkBNxHTS1CdfJCD44TQqrnt3i2hBcR2YnMvzsvm0Lw1cNpFg//Bxvl+V91AZjyOiyVM8czivZ1/i2Uvup0yaJWocpm7dPLwWnVNvDp9FJ/+y92TCwCgz22Jm33Rd9/m/lBn5gucnmdkaM1vhuu65t3t/2ezLMUBVRbr4CLX5KJHZ9Xgbn6vzq211ywRR9U+0TcfJVK+6S4Ckch5GlUY9dDGzkD7xPR7u60QOjMAYYdbdT0ZzUmQwVZWhE5JFHplGHvpHXFoqvnoLGf+Jx0RRQuEE3TpIEDdTMKDS07z2yhZAsVvUITpa5WuOv+wDpJP617hnXcKDMeeDZGZuoxd9X3+ewvXBWDL4xMsogLY9wd/GClCXP4+AY81+Xl3duIqCLyCOe9u2m2vgiIiy/yoj4J8o/DhWiTIGNVVCm1/IfSzeLQCRyEA9JZEgM9gPxHS20uE9abzwqUkkLVbvED546bToBAqTVkgu93bdGoLsVGHkzk73oq+xnvNv7OU3xqQSJD7pJWD9h5/PRF/nL19Cn4qSmv919rU9zewh206TZ/qXbDAzu3olrXXBs3kt533sBPrWl/pauqYHkY5HXcr9VkkuQ4QykpXpRV9ZOeWK1yX9LP0UwelgDfcn+mevDS/QObFx+IDOpMvfW0DnfP2qV2zI3+YH5/tkZuTz/5ZpZpvM7AOu6+64mG80rGRm5GdPCr+DdKHNipBZlbcidKwvw/jNGhL8hxbz/Wfe9KBPZfkMF9FKfX0keJUQa+q93J/nH6VQahGa4QfvFeHvv+dzM++h0HTCeEgf+iPHd/dcakuv7hJJHu+hMDBRzbr8RY55Zxf3Y2UG9yMql+8r3EEB2eUnhMODOP8AcTefKvy0lH9GSATf19ZEAZR5N+mzaxtBbF0hwWTyGAJRlSk3fA411w2/4YPKKrO7nlcZ85N4fsJjSd+DImliZakHfQrUKICes4Jg9Lev038kRLCz+1b5jnnAy3eFLqKS8ea3ud8pwbRwVAgLVLKo8N08yPOTHESlQKV7KO8hqFGlAxQPUcEL/R3cHxXx50kROYIahJ/WHK5p8VaO2RXKjYpIDBelNva38rysEEqfv8P8nVdz/vteIMBODBelf0TrFyklgoWlr7mL6zQqi6Dm6Vqe0X8sG2Zn5Pc50PmrfXTOg5jfm9mpP4Oc801mRnYcx2Nmr5rZVy4W5JiZbT3Ce+hkUXiqs5UHPDGSwvXkETLvmTN933dFAO9vg9LIfLuE6ThU5PtoaRe1dYSmsCuYZudJVdSCV02g1vof56hVFz1OJuoYtdnGjfST2FdNDW2my/ft2c7vLhFJHk8/xvVToDBEhH3etISg5rQAmbsEo14VTsaSN9FXuO7azWu/YJG7JqqZwitUJNXrbiNI7OpiX+kfKOTTZpIHqLT550Sl++MBnP+KBu7Fin/MQV/baxRUYxuFlUNkCD98hjQweya/WzVA+vZufXufOTOz8G0c34I+CqYz4uqm9ajvHoUncm/P/lDUnjOupz9INtM+aREi+3KGSK5ZUeVB3xmXAGHlFAr0xlI+1y9SnwfFsO8xkaF4sYhuTEkgDXSKyNJGET2nAIFHJDQMDuNv1ZXwrCie5b4OfmOMn8Nz4BgqXtWB5GUzZhHEn9rJc9YurM6pgVynbpfn9s0qgpoHbuC8hr2N+Oj8hR86ziU2VJjzmP1Pyct/MrNWM/uxDYGobhsKLz/gOM6/mNlX7H9KQpgNXV+JnKf/006OvgoDfK2PZsKP3UZCe1VYPtQ1TWSkrwDL/CgFwbkfU9j+xCWAWSqq816WS/+Ur1XRZH0Pz56MflKOwsEe/rbhNJl+URMfnCKS2TXVkIm+IXwMHriHwr/yecH4Y0QyLmGBUDleKgs86CsThRSv+Dz3e9d3OZbqQF9GpaJIll/CPQtdwHDm8t/QopUyjRupUtVfIlLfq3xNPcL6p/wzVNLIcfdQKL3yEPtU1GJRIGn5uCi4OV4AMRVdo2psNR0lESStppBreJ3WlXikJTU78ippNCzQd8yjZwuB2UJwFRQpMncXkO4KhI+bRzhPx0WQLoo7RTFVIXRmLeUZ9Z4h6GoX13LPinN7n/AD8go/oIpe9i29lWdq49Pcs5mZvCLdXE1Bf1m6KFNSd3Fh3aqEiD/Nlz5Jfpk2XZSn2MGxzZ3AsR05RWCfFUP6jE0iqFM11XLSqfDkHHxjeC06xzcMn0Vn8hXvraur4Wj1V/DqKvLGqXjugf+k0PhAN5H3wp9OQt+ZL+z3+Xv0dTxQJaKYrMrbEplIgdFULu7SW8lAUuLJQKJTROjuKWpjC/I5/6MneSDn38FDX7qGNKAyMpe/zjVQjnlx0/jbb2yhJe3jQkN7vI2MYJSoblwvbJGze0V2bGEqj/S7qtodwP25dzl9BE6vEw7QIrpGVTyen0eGGSZq8PxS1Hb7qHCmPHSQezs+i0CiotKDPqWR5mfz6ko5WL72Aq8RVasSdbJuTuEabKmkcJkaQotq3m0cc9mzonK1uLqJ9lNkukUBypIeXg+GCMChynas/qC4tnmCQi4hncK1upS0UtlH3nAilN8dLTKGqzIOo+8lfb/4O67BDV/iGnRvOoW+0kMe9Klo02jhR5aeSB5X0yCuKkW4/8kScZV6PUFCX4UfHxAKVVA859/fxPH2ixviTWd4Rq+5h/t96GF++IhIZXFDJpXojF2bhhfoHF03fEBn6soRoOPfXk69AwPsFqaASydQGLxxhr48M8J5MGrafRlBm8NDMF8AieZKMpC6VvaNG0chUlfGw32sl5rXpGChySaRYapsnSoh3YAADYHBpIEzQvPoFxwjPZKcYFDkec+9nCCkp4wCYo1ISDfDIXM8Msj1ixugYJorAMY5v2ivmZ/k2v38t+iyGSLD6lhRRTx+Htepu5DzLzzJNR49gWClpUbUzOmg5r5LRE5VCS34C4upabcXkgaipxJcDLaLLM1jec35yO8vrn6PcBWx+6eJemwnRKLPBQTtLae49q/W+4LCrD5apToFT1l9Ha+Ia7eKWk3iOk85bbd5SWfb+zzou2E0ednxU1zjMRkc3xmRkXlMMmk0MJhjTvpIPvpaHjuOvnUiNcbCGGGtE9XAQ8V1dXwi+ZkreEh0lqhMLyxx/r99qZTjvV1YbLsrRYCISPr3vQO0zn4omvOPn8yz8tw2jiVGZKS+pVpEb/wN2/sd6LwTH50wGwopDz3/nmdd1/2a4zhPmdmfPfs8ZuZ1XXf6+d9MNbNf21CenUEzm+O6wvHjgqbMuKpWjbJyeEQa/wSRxr/ylK8ms3gBD0HdCQIYr/C9UdlpXyqiBqAW/qoxZHAdTRRoURnUPOKv4Fgee4RXfDeJu/7CI7yHPimcZa6MJWCLjKdWve8stfTMJgK2rxWQef+7GN8Txwl+lgqtv6yTGmljNftqHd81PfUrgrXbRNSZZxJ5wdENXOOgw6TPX9aSPm8OJi2qPDCb2im87lzNvcgs8qLv0FHuxQ+30hp0qQBxM/PIvDeIZJ2rYjnfO4VF8OyrBGwFAzxX9WfYlzmPa7X3DdLPon/gebm7xNc6V7aBAE5Zgna94EHf4l/Smlz65e3oy7qPexa5nVUpb+ginTVXESBkiaKrpVWkvbnLeSVVsYvvW9fvQd+V32P17qAQrucscfbSr+Jzg2vICzNWoMvWPsd9HB3Edenq4L7tEZmlb77XV8G7pMrLsXWTPh8tIZ95IJ/n7KMiXN8zjed2UFiDVHj5sk8Ik9MwN1fIyvdTeyc+Oo6ZRbqu234++mq7mX3Gdd3dFzzzfRuKuvr389XMD5rZPa7rHnEcJ8GGQNBbrnDbJ1djgJXr+VzGamqQ3h3U+MpFcckp1/kyUcXgdotifrdHUKNKnkrBf3QLmZ4CRFVdZPDK/Dt+Bg9f8VEe+HHLCS4eEYLqA/dTU2p8nXOLpcJnf9rM9y0NIiM8JKxVi+I4j01eqlB5wt8jLUpYksQ1VYzIAxIa5UtyYaMIO4s3UTiM/RgFS+NzBKfROSTp3iaes/Z64aQuojdUFFdrA0FDWQuvQeatJljZ/hrXWEUTqWzgRcWks9NBIqGhyg8jnPwVzSu2Hyicw+fdS7qtfZ1nfm+T7/lrCSSdXCFA/Jl67neDKAGhckR57p+Ovu3/SuviRFH/6sUqWgziBJdMHeC5yB/N9/V1iwhPYV1SVdiVr0zWZO5jWyWBYmQS96elkt9Vzsh1tbTgnTKO5YabvOj7zYsen79vjCMwOSoyPjeJsiVLBagpriFdPMPjaP+cwrMXnsy5Kmvl5KJXhtXq0X3ktWGz6IRNW/3evLpyHCfChoDOx13X3XO+zzGzMjNb5rpuwflyEHf+b+tV7Mu4AQPMGs3rpzcKaTWJFsXSsoQW3efn2Kn8Os6KaI4kgc5jRDbVKUsIGkI/fg/6Tt3DnBUpmby2KRHCpsMV0SBJ4v66l0wv82r+9tZnKVxvGRBgaoCAbYJIua7uxI8La4jy/R+dx/U7fo5aoBKGLQ7n6x9RtXAO78ifELWFlBVOpTVQpQMywkh3x/sITCaLq8oxN/G7bXtJF95a0mh8Jr+rSjuoKMAEEXHT3Umt+ng793GMcPpXYcR7BrgG9/wLx9e3h/lSWo6Jq4Zo0m1Hg6+1QQnWE2UUfPOXUsid3sa5FhvXPVSkTlBJD5v2cryRKeQhTwur5u2zaf384iHO45u5FLhPCivzLZkEbCqh48AgAYHimSqUXJ3v/GlCcTtOXvOqKCtyUwDPS8ZU377gUaSx+o1CIa2nQpoZROAcH8e+qGS+74+FIodVpOCN4uoz9/CGEaDzLrZ3VL3ccZxAG6pxNcbMfv5nkHO+Lbah2lZ/jrIaZ2au4zjrzCzJzJ50Xfc7f+G9/50Z+YsxM+y6iFE+/37iDAVJppHQGgKoZSQI/xZ/7aa7l8vSKNTMZWnUnraJ8MGoXTxoeWGPoS8inObfY0V0wFMZgFWftA6IcOi1T5B5zxdh3tcJxnp4N/eis47r11VEATlhDg/96X1k1NFTRUh8CQGMygysnD398xoFRnFz7xCFFUMyKNDWvsT9jhZlkI/2cxw33ErNuL+SAKZ9P7rMW0umv7GbwiHlNPdWchlhMUgJ4Via67gGqor2iS4KSOWgPG+AVoQ/fZPA9qpU8uGGWl5LGrEJajgp3S4/g2Dg5Faup0oBcVsa6a6i3IM+J4p0fEY4i+d0cj3vFleVm17idegnRbX6qEU8U1NO0dqiaCozz4u+BlGHSjngJxm/MeUy7m3dYa6pcvL/5DgCxYqTpLNBP93r8Wf5zO1XMNhgaSctbl3EflZR7EHfqTqC82But6Xdw2vjrs0lfHC42/s8vPwdAZ3z107Tz+fIecFxnMmu6/7Ze+0OM3vC71uXmNkcM+s0s42O4xxwXXejeO9/l3EvnbncNfM9+MrRr7aaBy1b3GufqyTzmrnMl4m0FlDw3RtH60iQyEacVE4g0TRAc238MQKumhbhyCwcCdVVRqkokLm/liApfpDaYrooyrjTITDZL9KyXyJCug//gFKzWBThnF8sktSFcK0GXuQ6z02kYFLlDsYI595f+zlTfsIrnLurifR6CjiOVSIHxoHnKAhuvJuMe4uofzU5g4LfP5OzmVmVKNExpo90sUjU9Gk9RKVAWQlbGrlneWMpqFRLOSPqEoVynXcO8rtje0mjkemcW0+H8AH5MrP7Nvx0r8/f9TVc99hYvqvSSIsfnMeryqZTlGjlLucf9wppZWwqrQOJi8iWAxJE2LwQTspCVvp7PncyjDzuTuFrFbWA+3NQJA4tChUlU2JFLbtdXPtRV5NfPLSGAP0uI4hLziAYrzrjuwY3jKfSsnYtLVrzUt4y08l/N3WFJtJk2R2iztyOH4ks4rkX57g/0v769o6Azp+b67pex3E2m9kqMzt+3h/nRjO7MNNFhQ2VhmgwM3Mc5zUzm2lmADoXtrg5JAInlFS16xkK3FGZPLjTsqnyHd7kCwj6hJfApBAegvUi6VaQAGHX/COZXvNzFPJlQWSY+1sIVlZ1eNE39WYyzJhXKdBUbZiIKbwjzt5DYKcKXVY8xLGkiXvoaddyH4sf4z5eOkBhqKoq1zYKYSXylDSK0P753b7jKzvuwTNhIRSs2ddxDrtEBe0M4T/UfVhUgw+jaXuCuFpMDuA+Tk8jgFEWjs6TBE7dbaSzvDEEML2dHMvJM6THGZfybASf5TmISeT+jC7i3AbE+WuvJKsqbKQwjH1kJ/pKyn2BYr1RUE8e4Dj2hIqiq3spIO9MpUWnt0koQfmk47DlU9BX//vT6Gtp4j7mC1AcVsk1yUrimd8krhuVAvnUY+SrAUJq3CEylVeITNhxsVyDzuOki1syObf6Qp5llWF+zIO++93yEs/esskEIYHCQNh0RuRKE6VMVJRYKI3dtkD4N5W8Lpzv+dO/bRNuHu+n9k6irpLMrO88yAk3s+Vm9l/n/3m5mZ12XfdCalpnZl8878/Ta0PZk3/4th/qFwXkSojiV63iYSnbTO0mWCQ8O+NnY1yVTLNmQxVPwRxRqyhW5L1Z/z06Fy5ZzHndeInwiTgqihmKatvth8mkyjqpPcS2kdFUvcj3jb1ZCM3XyXxS5lL7DhpFYVj5lABOHQROyhE1zjjmepfCeuI8rtXrW4Rjp989zasBnOs1/aSx158gIJyRQBp4vY0WmAUnCOo+nE9N8+hR7tmM+aRHdWXYIfyRUnop5FRupppzPCspo/jbvY0ECd0qiusu7lndBrKbJmE5HCsyDW8UieZChCIcnMzOnExf2vtDA4V8XifndV8ABWTGNK5JcIYIoy7jeXSCKAzbnz+Gvs42Cj7FtwIC+Y20OI65p4vr/qV0KnydXq5BlAh9nhLhRV9IFMeXlcsz31JPxeDsafrGpImcYi0dBB2qMO7u7/muQT7zfJrIICJbylJypOo3SbPt7eRHTWQNdrpfyBGPeHCkvavtnVh00szs4fN+OgFm9rTruq+c/7fbzffaylzXbXYc5wdmts/MXDN7zXXdV9/uI6++TqE5yihwJ2bzgKdNIFM6JZz1TvoV/btdhBGHlfPgKWuB6osXWVLbismQN+zib6+fIa5GSilYGoJ4IDOMVgmleajsuX0l1PCj4rgupVt4cFvWcb57QsjMooQfUIRQLM4I4LAshutStJ3CWjmFNgb6kv04kXhN5SAKFhYTVZn+rrEEMC8coPUmXzhCTQ8jqFECMjWKoFiFSMeuptVxy09JF6rkRfIAaX5SDwVan8hB88bjXKtxkSK0dgm144p9PAeLRJ6W0iYC5X/fQX6R71e24XtzuD/eQgoqlchuxx4C5xk5BA3jROK+wp0iaq+f31WRls+FiYCBSl6HxkYSxMaJTOqF4po3K5XWhovNJaQA5qCoaJ65El1W/yzpO2ESLWwntokxi9ILZUG+5yC7SdQYG8+xDXZy3fc+JxI6BhHojBkkvyh1CMxUrbiIOPKQYW8jPjq6ua571Mxm/IV/u/8v9D9qZo/+b74zL0FkbB3DQ3DyVR6CKQ8SEAQe5sH4p1w/4SJCSIvP8q76FeFP8qXV1GKi9lIox83l4Vt9lJ5v4dfQ52B+2yH0tTeQYaasYF/9RlExfAuFyGslFJArhMk2TBTfi4wiA54qUhmnhnMvegbFFcUANWbVsiZ40RdRyvH5g5ioqdzHnmKRnKyOa6d8o1pKOIeaMAqH5vVc91DyVas6ToEbE0fGGhJKRn3qV+K7wkafMCBC2EX4e4LDdVFJDutKOJGsq7h+x54REYSCBuYsIB94ajuf++cpvJKIuHGez9+V3xW+YSKtwdVLeR6bjlPIqeLBAl/bmFyhPIhir63CcnFDN/enXtStCxVAdIPwv7piDOf2eBnP/NQXRAh7LtevcAv3e9xVIlvwswSxc77Jkjtv/DP3tkWEf1N9MLv5Dl+A3r6X8qLlKIFZ9Bi+S4Ga0SLSNF7U8MpJoCzYVULL5PQ+nh9x6zXS3kH7u8+MvDPtJgxQIeXNIWTAi/rICE6JjKD3Bnt9/g6L4OGuruNBHj2ejOsREba5TBTLy5nqRV/BITLMxgHOYavI2fCvwkfn9JMULD2iKGGqSMuuAP5Z4RORJxwOVbh68QuiblCncFidSe34iCh3EOxwgNGCBrKneNEXkuMLnJTWFuZQYNQK347OADLfqxZQ2LacI8NMXEkAs/5h0nZpCL9xXSw1w5RbRG6Ql2khUk7GqWNFfbLrmRzPbaLWf+ZX7FNlDKZnccwqT0tlN/sOC+fZamH5eDCY8/C/9mkXWaULe7kXs5I53hYv127sh/jbhhdJxy1N/G32IuGg/Ya4+g3mmVL1xPKSvOhLmMRzUbKbYy4VZTDiReRUoEgTMOUWgokzzwtek0F+ESR8oYLC+Q1VkDk8UBTV9UsXMk4k/dshEswmCst7s/HcJonK9BPmE6wMkiVb+SkP+vKW8DYi9hGhkf4NW/e+54YvvHzOTe+9PDrnr672m1ml67pXv01m5K+Y2YdsKJj1067rrnu79zdew1pXqv7IqZM8BAnCOVVNN9YvqVy/cAhVYdlRuaLq7mEy+PZOMta2fh6gtBhOTP1WFbdTh6V6j7g3biOzVf4uecJPQmUevlQk7HKiRcmCPbRqnRP5XKJCRZKxbo7veWHK/9dptDjVn+F++OeMafBSsKrcKNc+wHUve4xC/k0R5q2yYk7pJcNMF74J8bniGi2Z8//dm6JuVA+Z9+xLKYQD47nGB18UWvpoMvQ3hfUvZpAzVkBHnUflVN3YSwCo5hGcxTHXrOU6+7fEaaS70FXz0DdYzOzGJqLdHn2Y65kpSk/Mnkgn3mBh1eusEX55ouyLKkGj8kv9SoCLz4ncrV19pLMc4XvTIfx7ysXV4oEw8j2VW6ZX1CNLyhMO/cKnLSPW9wz194uSLCKFiKpM74pkDP8YQLpbGUIF9yv3iEjBo/xtj8hdkrb9zRGg8y62dyPq6jNmdsqGyjqY67q3/fkf/pwZ+fz/T7Qh351JZpZuZm84jjPu7TIj97dxTaqLyQmUgEjIo4B46iiNnXeM9v1tYDyZSk8RidYR2vxukZI8cYBTXHoLBeTDL/G396ygRh5yKa+zmn+7D33H22iBueo/KAy/++8ECPlhFJDzxpEpmyiIufePJKsjoWQE4we5piIdkuWNIkj6xqUe9D3zKPd2ikPm2OkHMlWW6isXkJkX/4lzHRwkrUzp4/tU/pC+BlE49bQHfS1HCbpS0qgZp/eTV/UK9+61OwhM6oQf0BgBz3YW00clbZAgQX3330Sm4e/N47oUlhMkRAgLmwrrjqzlunT6VQhv6OJ6ntnEfTywU+RSMj63WIDJO68nIPyvtTzfE4X/SEcp56WqdG8yWmXun8Ux79vPM/8fwon+4UZemFwvfI3CErkXv6+i0nKNyOnz0aX87pF1XJeYUDKCkEyCpKwK8tGiJo/P3wlBfJdSNMdmi6vFbM51+QHysk+P5lVgqfBTS8pDl8Ws4Jka9vY+99F5RxYdx3EyzexhM/ummX3Odd2rL/g3/8zIXzEzc1332+f/fZ2Zfd113V1v9Y1n0u7CACtE4rEF/bQTRoSQAcWniPw1lb7AKVCEWY77uAd9m38kEmIJrbWgnI64Z0J40Oa6ZAy1fWTKi6/lgWzYjS4Lj+X8lROiAhIqi62KmGhuZ19IIJlDoijcFzua4+uq5t5uKSEjWJxFcBaVyzEX7qBWWexXX2lKNEFNZCyZY9xyD9//OOcQKkLTc74wHn3rvyq0O4fzv0xUL5cFQcVVamcz6ewnLaSBT8fytyER3Ed1zeCI6J+Ksx701fWKxHDi+mnW1wnEnv4Gx5faz99eci/3bf0jvt+Nd7ln6jrGvyaamVlOAPmMSm7XP0Cg19RFC8yvhULxFQHqokWeH5XhubuN+634QGsDx6Ksx/XCWXqhqKfVUyWueoVCmpytrslJ81vPCUDtcp3LAji+Ur8ixfenk1dETyRwHGjlOhXvJv/4bSC/+YOfzUdf7b+8zu9mcA5/PEYF7R/LHh1ei87eZ4bPojP3lvecRedHZvZFM6FaMDNyhpldKI4rzvehXZgZ+asJU+yWmGyff0/qEL4dn/eg79D3qY0cKyfhLkzyFTiDgklZFxloVwAPy7FyXqFNz6NAi68U1ZiVM20RD5/bTabSKdZkexPHsmIcheb2Am5DgADAlcFcl2ixVOEiJHVzE7Wb20NpIWoTzpljAwiSdpVRSx1VyefyZhHE5Pb69QllZsMxam2jHqaF0BFHaNwnCCTqf8Uw4miXz83NoxDZd5xMf+GlZN59op5WVS3p/WYRjVfYRa1aOZ2WCKf8XJGxdsxqCuagdSLSRZQJ6NlwBH3LM0loCV+9Fn2HPrwNfYsm+NLZH4pF+YNozrVU0OK4FRTUgckU6C8+wivTqy7l2fuJl3s20MM1OX2G/leVQuAuF+e7u5U0erbNg74ll9N6HLyd5/ZbO2j5yR0gLxzTSzp7oox8L0Pw28yLtDBMECkAFnl8+cDPqnm9lVrJb35gJc+e8jX75kzyrecfOIi+tAFaMCdEkM4WCSV92NtIHh3dHMe52szqXNc94DjOUvGIf2ZkheIkirwwM3LDyiWumS9zyc4mKi78ORlrrcBf191JRtW60/dAhsRy038lrmMeuI5m2IJXyXyUp/3yZRRU/SKdQkU755BYJULpJ3Fekw8LXyMRIq7aFTcSIDTvFVcUnVyXIuG0nNZLcKaiVWZ/noK59NdkLKlt/O74q0kDpeu5fgd7PD5/X7uU7780h/sTM43XDF0FBD9VDxNw9faQLsZkiHT4AgBPzSYDbj7NsdSLJIrx0WSiW4QP0R1LOd+2s+iyXlHnqPIc9yyhlWtQ3sXxKf+R3CDS8m4BbFeXFKJP1aTL98MIq4qpALWJJIopomhm00GysUO1BERz43iYH9pDgNUtLEmfWkFhmFojStcIANPlpUVHFdecIfxMAqNFegIP6Xu+8KFqFpIkOYy0N1U4fUcIIasirKYletGngHxMpu98v/pPtKZ+6ktUPPaJbMzRQin4taiDt0rQ7KjFpLOeOs41W/g8jbR3t70Ti84iM7v2fLHOMDOLcRznUdd1736LzMgXUkimmQmnj7dv/7CBGtSifjKbm5bw3rS3gITW6Fc+Ij1OJEoTvh4r13P5ngykBvC1j6DLyh/leNPm0Wqkon/UtUB8AplKRx+ZnnLkniJSv9du5jqFRYurIQFq1J34hJsoNDY8zX185EcEK6vT+L7Myzm+5v38Rq+IvJvot5flO+l78zOX+/PvoRRAR09RW5wynkKku1Vc+Ygr0pQsMswdwowfJZx9U4VgifJw7S5p9KJPtbiVtAj2vSQK1EZSGHhuFrG6/0XimzObACv0+qXoy9xGwfTstwg6rlE1ysb5zqN0G8/FSVHC4ApRmFRVvVbtqJcgPkFYPy9LIa3sX0MgOjqDZ7SlnYpMTR2BxECNAA33kH4cUWuvrl6ApJSLK0zpbSAv/EMg6eenopTOCS/5SvxMnpeOLcJymOy7vwc/Q9q5wxXO3SLhZolwMXhwOfds5yvc79RKyhGVElXVGBt2r50RH52LeMmQRefzf/bRcRxnlZl9xXXdJRc8M8nMHjezuTa0jxvNbOzbOSP/ew59dGaLq5u5M8kwDx6kFjgxl9pxg1/tGxXeOneqSHF+xoO+mBgevF+2k3FdK/JiZKd60efJ53NrtvKqSfkrKI1q/A95l3z8U3RkzplAxrr1JDXSLIcaX3T420e5mOnMrl3dZCweUS04bqK4ftl2cZWWqwd9QUykIMEKkT9jaaLwqRFFbs60etA3KV44I4v09RlLOa/eMq7nkcMEWJPzRUVLYTEY6OGaeG4Yhb7unefQ9/1DpL0PRHBuFY0EsePHXlwG2PAcCr66g7Q2hEUS2EYkifVr8Z1v5GjO/6VN5BXtAphc6peKwsxsT68HfSrnVGcb55C2iOM9/hrXLlr4AYUK/x4VMZp9K0F7x27uhQq5vuJ2Au+uYxTgB49z/TpFIsnpSfxuRBznVl3Cs+xfjNdMR5l1+4GYsamkT3+rj5nZmwfJ31Tm8+RLSJ/7XuCeeUX65ZmpBIn9vVynMSfXDa+Pzq4nhs9HZ8Ed7zkfnb/UVGbkE47jPG1mJ82s38wefDuQY2Z2ayjNeif9rh7MzE4eEr4xk8ls1p+i2dHfeW15oArnJQPpOs7lG7OMgu+yp9Bl4UFkcN5m4dhbSkZzVKSDT+gn7ahIjdp/fxN9E27gmAMnMYfK+O+UoO94Dw94lMhTMihuLicnkgG1tJMpNzaKInp7yfRiogkyW1q5pnNG+foitDXym/t7CE6f8tI34ROryLg2vEbGld5CrS0jx4u+51+jsIkboLa1/OPkSwd+RWtDg8gDsmQWLZ0P/YSMf1of3/dhoc0rK0eLyNTtKRf+GeMYNVO4RdRrGuNFX+RsCsOfPcNvXB3o+9veTgLHRKEoxAhB3Se0/kURVAr2VBCItgXwDCS+yrN8yWLyrcYTPFONIi1C3SCfSz5IJe3xc+SDOcJZTVX+vlIUIh0jkuOpK2zVetpFaZAensmWXs63R6ypfwThgsv4rhNPk04mi6CEpHlck8Mvck1CRV6vuTn0eVJX/apI87C397mPzt99wsD9mddjgCUDJPgrPypqnvxSOD+Kb4xO9iXwc3U8oPOuJjNr2CsihIQDcJpgouUiAdjEfgrqUXkEA/uKqD3VCMEyN0DkZBHRT9U1BCvKSTQ8mPNQOX3WDIqsuAKI3SBC7CsE41fXLwl38Wpk/X9yvqmiMvvLfhmtF3VxDjPG0joy0Mc5nCmhkJ82U5RxENaBPSLsNzeKc9jbTXqcG0amXCL8uZoDSWfz4wlWVJTdgQbObYvIvny3qDaekyeywhZyvksXiOvlRq6ziuxSFohlwqG29oCv8K9s5jpNn8/9DhBJCrurOY6I8bTUOMEERJ2nCBCaKsjL+oWCkjqGVhRxS27/dYSXHne4IuJR+N40N/GF427hfI8/SZoaJSL+qosICCIiCKjVNd/lC0kX+7dT0dgt8mndGe1rhXmxlXSsauqNEX6ES28V1dHXC0Uzh3v79EmCyZtG01m8tkT45ZW8PLwWnR2PDZ9FZ9Fd7xuLzrvW2oWfyXECdFt+RhQ+DCUj/PBlIlqlzpd5H23hN8cfoTCsFHlB0lwRWhxDJjVRhC9vqKEgaCqiZpgVTMZV5PCwqDwbo6rIWPOjvejbI/IB3XI/5zYonE5zniYdXypCPM88y/HFxwlQc38++h77thd9d32W2uzJn5IB3eIXxv9sOJ0rx4sEaK+1kGHeJPJnHBKZnKdOJH0OiFDy+Ayu5wLhwJg4lvNKC+NvXZFbZ9PuizPR54cTiC4dTcYfdfsc9G35J1EdWrC3liKus/L5OXWGQm5irBd9wbkUmmGnfEFXhgk/KFHDas44kYBSWKWiWgimHRE2v6uO654sSm8s+Crp7PB/cCwqJP5yEfGYmEtfoyjhQnVgE89B0RN8LlNcV0fkEyTlJJLvVezn+s3N4NnoriWxDAir8Kcu4boMtPoCkft66bfVUEw+WCKs0+0HeabSl4ns5Ws5r+uzyBs2n6FMGi3qdY20d7e90zw6JTYUEjVgZv2u684+3/8pM/ukDV1Rveq67hcv+E22DV1ffd113e+93TeKp12BAZ6pITObLHxvVKRGicjBc3O8rzZXWUNNREWvVLWSuJXzcEIMf5uxnOv+jdc86Jsm7txbRNXm+z/LK5qq35WhT1XWntRLLUu1jeHExaHC8rO0h+/rcalDJYZSQMTGkokGhYo1vZqWs4CJBESnP38AfdU9vmsVKiJ/0qIoHB4aICO8UcxV1X56/Sy1u3Rh6UuLENq3cDTv7iAYd8VeqHxATbVk8kmZnG+gyJmjfBaDKB+t7IgHfc0i8uxiW6RI9V/ukuavWEXLzFm/yDvlGN91guCnoYQTy7qStLLrGdKFujYPEGrlI+IqPViwZBWqPXs6v3HuGHljlwj9To0lnSWNZV9AGGlq7S4K62s/wece/jW6bJWHfLqsjvx21m3kA6pVriVBpi/xXatfrSevuC9PFHatJlhLmUYeVXeUdByTxOfUlVxft6ixlcwzmrJ58/BadLY9MnwWncX3vCctOpe5rvvfnN1xnMvM7Dozm+q6bo/jOP5U9kMzYyalv9D6hKCfNVUwEVEJO7ZEMIceHoznmny1xQQBJC4TVo9AEUkTKnxv/A+emVnLAfbdK66a9jke9MUJre0XPyJjmCF8meYEUmjGx7NPOXpmi/vlZuF7kjeL13xH9lMjH7WY863ZR21JVZHuetKLPsfZib7EFFE5vtyXWBwBdHrF9cFHwvnN1CUEOi9voPAaO0hGeDaIc00WydOOVJBRNwaKiBtxmu+M4lk51kvBsribNFAkkkseF2POEzWX5q7mVUbbSe53s6h1pdLzBwcR7MYKh/7ARNKKf+2jzU9zDqMjRQTcRIK/w89SUQgX1hsFklQJg4/+E9e484XD6AtOJ7Dd89rFBVuonFOpRlATOpVJKIueIH0ry0rFo9zve+8kEHU7uLcRR3mVeuJZWpQnLOZ16LE2WuKSG3ytiarEhAKdFc0ErMe2chzL5tJa2XBWlL0RvooqkeR2YSm+n8Mbae+g/S2urj5uZv/pum6PmZnruv998hzHud7MiszEKfsLLTaVAnzdCQqSlZOI0CMDRCRSHJlNlh/tbRaVjJUfy5TZZCqlRz3o+4XSKIRZM1wUE83uENmNg8n0Zog09HNvoWApFY6yydOpUfSK65KY0ezbs41rdfYQhVeqKJjnPUFhrbTKzUfJbLpEQVBV6HKncApducTXOTMoj+93QjmH1jdoYj/7hgd9wpXHsrPIpFvKuHbpE3hdVHqCQvPKsWS2u06T6ReVc25LcumcGjuPgHXXMyIrbjDH16ecdmu43x0CFLd2iXIHwjKVLKKOZkznfrTuEHWD4n2BrdskMvaOIV949SD5TKi4LpqTSEEam8szNSDywtX/5gTH8qVlfLCN6z7uEMOmB/o4/2xx1aTOWfMbHHNpN3nXpZkEzyq78UCV8MfZwOv+0aJUT4yI3Ny7mcrSvCzSQL/fjZmymLwu/GeEl4TNC/GiL2SsB32h5VzPLW0EjlNcEsGtnxVa+jC3i4gLek+3d3p1VWxmzTaU+O/Xruv+xnGcw2b2kpmtMrNuGwo73+c4TqSZvWFmV5jZ582s/S9dXV2YGfnHV0yd9cGpuT7/Xr+BxNLeSi3tdDcZWmEID+SiHt+D0CeuWWYtoxB9QYR5L44l03tTOMMpx+MqkXJ+dBAZcEQ4hcg6kQTu3nkUhv+6j8ziQ8LaoDToAMHkVS6YcGENKqn2oG/6cpEwT4QRK80oZ5YXfcrTvOIIaSAx3XdNI8jzrL2EdFJZ7kHfpmAK749fQiDxpR3U3H/wQc614PcEp92isGKpuLaZ4eF6nmomXYyNpNBUFqy8FSIB4xvcC08iz2PMRHTZsxtpWbgym4A/NIEb+YRI0nbnTCo3ar/D/M5L2hVcTyeUUq51hxd9KmpmYwPP1J3f4nh/8S8c703xvGrbIN43yxFFdvsIxttF/b08l0BCFc/t7OUaZGZ50eefjsPMbJsIQLhtHOfb0UCaj0zkWEpPk25VgERSAvnjPj8n+mv+gd889mOegdHTeH7WHRHMQbRu4d18s/AHbRRJXOtEos/5Vc8P6/VO19Y/DtvVVfil97+3qpc7jpPuum7V+eupDWb2KTP7hZltsqFin3PM7CkzyzOz75rZXtd1n3Yc5+v2FkDnwvZS6p0YYJPImrko5uJydKRfRUZd8ryvUA9T+RqaSYyTr+Uha9pDJv1CExnX3F4KkYmLOIeQ2TnoO/VzHtLs8bQY9HWqisfifjlRAJ1oziM4kUy+Zp/IpppMxhoq8qx1VHAfo/JIj/1ejuUxYdW7KoogU1Wl9p7ynUdVLZn0xEt5/dYrinCGJHMOnaLAdWsDgYlap1rh7Jozm06dQVl8bvcTBF3Tp1LjPXWMWnr+FAL5XpGQTtW6Kiuglp6cQsGs/BOqhHVFZUtWNY0ShSNvn7hWWbjUF0wU7eQ397ki3FgoI9PuJm849QRpYGMQQUiKiCK+XOTbCQ7jGocLeetPx2Zm56oJEJQFWF03ZsZwz06JUhFZIv2Gan0ih1X+QoKJgXYR2XWYNNorCqoqn0h/f8BLvsMcUX/6ZyqBV2dRQWmp47ntEYqHyvETHMKx7W2ilWd+Es/eqCMbhhfobH5o+IDO0g++t3x0XNetOv/fOsdxXrChZIAVZva8O4Sg9jqOM2hmiWY2z8xudhznO2bmMbNBx3G6Xdf92Vt9I94oqMoDaL1RV1zdInqq+wSf29Xry0UmdfGZsZMJQkrWkWGO+TLL04Z/k4d70hL2FWynwOjeQZNoVir7VD2kJR/k2p37A5lPeBSf+04Fwdk/jRURa6JQY5Dwd1i/kxEnKy8lYwmemo2+V39KhnF9KgW4Mp87Iuz+WI0vs1E+B9MmcT2DvBQEv3qWNLAqyIu+BlGLLECE5r/p8n0rD3P+WRlc49QIWlbOHiPCzEwiUG4qJ0hKnsJzsH47rZhZRkBQWU0/oLRkArZJs0R9oRNcg7ki7F4lblMlWNb4jTlW5CWaKObgn3jOzCwghwJ41GReP308lXN9Uli0NlezL26A+x1YwP3uFLX2ckVE5lpRiPQjJnJTiWSdV1xPwK8ykKsrs6Iagq4b9lDkPDeD7xuVQcVNFZlVKQvi/a7Je99gQtSFwhIbmc01PlJEAJwawnORnC8iYQ+Qn+e4pLNEkednpL277Z3Uuoo0swDXddvO//8KM/t3M2s3s2VmttlxnHFmFmJmDa7rLr7gt1+3IYvOW4IcM7MKocldm0KB21Ijku2JaJ2+Nh7ICX6aW7AQQCraJGUUmVnj74+j784V/Gb9HlpCxl7qRV9gHA/Boec96Fsowiwfe4TgIkQ4Ws9YyLX7egutI13FFCzRHh7cjloyTBVC6Q6SsfQdZaRYfiAFX08XSTdhDBlQQAJ/O2+SL8DaIjI+D5Rz/uteEU6DouTA2cPU2rKSSCueUVy7e43vqzrOObTtF1eakaSpeAGKG6sp5NS1wMs7ed1285f4213fpqlikiiDUXBW+CxMIOB/c5Ag6bJ2gjMniucqZ6oXfbl+fhalBzx4Jm8J17OvgfNqf5EAu7GMa1J0mHOYG0qwlpTGvvZmnvmTItt2u0iW19PPc7EglNZo18gblVXCiePcNlWTX1w7l3Q7ezqVwxc6+d3CnQREoSJnV4y4Yl8mrofe2OyrpBRtEbW5RARgeifPqMq3EysqyZeJ/R57Gff29EY+98hz7PvEj8SH/5btfV4C4p1YdFLM7AVnKBdIkJk97rruWsdxQszsIcdxjptZr5nd576D+7GZMdQoVF2VzNsprGoeptA8VUBhFR/mS7hN3WQ0O09Qk+0XeVBaRLKQq6PIBArqqYn8eBeXaeIAQUOycEbpquZ3R/WRWZSKRIW7nyIze03klrlGJNZLjqS2uLnPg75bxnINzu2ixhMZTutSnwiPbW3jHsWIfCbN6/m+7m5fLW2WcCbdLeoNzRTp6589zjuF25fRUnVsI9+Xdj9/23+K916NnZzrmWKCnysfJA00PE/B/JpLxvrJm8jkax4j/Zz9ociHFMKxxIsU/ikiEODwZoKfdOH31W4Eca8/xnVZ/VFq6ut+5bsuly3m/jy0hfzjvhmk2e4mke6hg+MIE2dUJWVUCSfbRPblQlGLa243nWxVAs8rXArcTod8JTqe56fkKX53YQzBswKPKqryyFbOd0DAiSgBvJuquc5jQoW1PMrXGqTm1VZKevIW8/0zRZqA7UIWzM4ksK/eQzCVKxIr5rqUcSPt3W1/NdBxXbfIzKaJ/l4zu/ttfvv1i/3OvlZqlUuiSXyDNRRWrcJBWbXRV/lqMuPyaJ7+6s94uFd3URBEiXvpzafJRIMF0/tYILXW1l4ellH5PCzbxDdihNaWIcBPmbjDn9/D8bnCdyIpm8JrWblwUM4jYwk8x+cSsrnO3QUcX6lIB29F7ErP5pp6/DSy9mqOLVGYp4PDuHZXGOmu+TgF1Zgx3LPeQ2RwXaVck1k3UGA89BoBwmAD5xoeRy39ll6OeaCZtLLwWgoIV2SPrVpLcHEwmCb/Oz5BAdH8bQKxbOPavxjCszynm2v18O+59hNcX7Bbe4TjDReqmEoiOM7jRV/voPhmnih8Gca1O3NaZGkWRXYjmgkc+wRAmPfvBM/1vzqCvoMiOWltKSMUzwqAFSRiZh/8r9Hoe+VzrC7fIxTB627kfHeI3ESLbiOv2foUr9hzIn3Pi7rSTo3jmUp7cBz6yn7Iem/jIkSWapH8KE4k/2yvJx1HiRw8w95GSkD8/23tX7kJA6x5SWT6TKR2EyCIT+VP8OcXESsn4JHq35WgL1QVFUwlM1N3tap2T5eXAr1AOBeqsPkBoQGlxfMwh0VzzJ5FtN6UvEjCV9cgKkKmpUTU5WkiMJn0ZTLb5sdPo085UK/tJACe10/rUoWITlqQ6wuUH6riOD4oMjl3t4lq8P0UBCpJ36uVFJoq8s4jwmrrOimYW4TWr6pKV9RSQM78CMd87pGLczDNXUkL2bGXKKwz073oUz4WUdO5P6qdfF5o87MIHhsKuFav+NHKzYkEV82N/N3YBzzoa98grMSnaKWICuY5ezGI35gjZFyUCPWdtZx7e+ZNjq9fKFp5AmTXV4g8PyJpZNRMntuGLYLXihIdh6qoMHpFIMnSJFpDVNLW3FECAKaT/xzb4bsfTaLeW2kIx3FZABWFtm7yHunTd6VIH3GMa6IA0a4S8p+bqx8bXmfkjb8ZPmfkyx94z0Vdeczsd2Y22YZCzD9oZivN7CNm/63q/pPruq85jhN8/tmZNmRJ+pPrut9+u28czrkWA1R1WhLmimsk4cRZUEYBGeGXdXXiNRTog+1kXP+1Q+Ro6eJznSJaIEtkwN3WL+71XTKfsBACnbgUCvm15RSu0+zi3peWT5B0bD8ZV0EwGcGRIK7BZ6O86Pt5OwHgVV2kx5ggCte2fjIv/3000+Gx/1zr+92fruSa/HgtLSbhAkxO7uE3Q8S1RWkQrUZzQjm22g4KFjX/eFHR/XgDaVuFkjcKx+j0RO53Sb0HfcGieGGzECTzxvF6qKmSc2sTeXSycik0aiuo4Ss/i7QY7mWr39VS4wD3IjmYiGPCPTy3Lz9MwBUufM3Kg0U+mz5xrfRFrknFb3llpiJ46uoJMHsF0HGFYJ71EfYd+C3nER1C2gsM4DxeFk70CcKSIgLKbKpIlKpanQh8iBbJGmMjfPcyRNRnS5krsmMXizUuE9nvRXoPFc1b9gK/e7LTg740l8BxUc2zwwt03vjV8AGd5R97b0VdmdmPzWyt67o3n/fNibAhoPNDETp+i5mFuq47xXGcCDM76TjOE67rlrzVB2JiyIB21tNcmbyGxDdRmI+Lg8nk5gb7Aqf+GpHFdh+FyL2RXvTFphOElRQL/4wJNH92nSDQGX8ND8G3XiNAuKeOdHrTYuYoaTpOodTRzkMaOp5jWSMS/K0Q13flQSQrZfn4RAQF2s+Nc3sgmGvQ0cpv5K/kmn7zTZE3yC+j7vE11G57QrmeU8R1Xpi4HhyTSw06qJT0k3sb1z38ZS/6lG/H6TrSVH48Nd7drSKcNY6+RiqCKTmIAmigkfR9eBO/odq5DlE8VgjhKTezEFPom2fRV7qPV2FVHVyXK8b5hhJPuZrvP/kjnvmfPk7BOkuEtE/Lp4XII6w8ii5aheU0ZTbPWfFWAqJfC6vEtd3kb6qw7WAz+44Ec+2m8OhJxW2liPZKShYO3iLFgErdkZXpRV+GAO2Dolhwa4MvGN0mEvf1b0SXDC9XoeQNXaSL4A3kZYHCH3LxePLkHSLR50h7d9s7ibqKMbNL7Xy26vO+Ob2OcNA931wzi3QcJ8jMwm3IUZmSya/1dHOIY4zabItwVjxdRGazNIngx18In9jD36kCespcW15CQT1pFQ9ogyh1sEwUG/z5qxSQt4llCxNZlRWoebaVVpm70nnAzz5DTeYSEUI6dz4PbuUBUddpBRncuZc4vvvE3pa2inDj+bxaahLJBj8gMvkO+CVVy5hBhrxnH32eFuRT095/kkzqUCnBVZEId5t0XGjuohpzSQUF0MQ0Cs1wD2lgVTq/MShSN/fVkpaP7iStbAsjfX9EMO+oBRzz7EECgkrhtHzi+wRT41cTFOaFicrSXQQEZ077nufZVxFcqOLBHxHZ1r3lPLeRszmHttPcx+MlXM8+wS8jzxA8j0qlIP2+qGi+ZzutzI0DXLu9z3C+acIJfObVXvQ1H+Jz6uovOof0eEBE8nmFP0FOEL9x7gx/W+yIxJnhvmt1680i2/gakQKjjGe5XYRdXZlAGRIWTQC8RSR+TBK+cFMTeJaHvb3PfXTeiUUnz4aup/7gOM40MztgQ0kCzcw+6TjOvWa238z+0XXdZjN71oZqYFXbkOXns66r3c0vzIz8r/FT7OZo36R5U79Np7HWP+xGX1MlD59y/Dp00veOtDCEy9It8NsC78VV2G07SSLa5CVDGt9P9ekDE5jY6tAp/raqm3O99F6+b9afyHxU8TkVvbFoDAVaTyM5wSmRVVkVTRx7Nxn/zt/xfZ5Ams9fEGBqnPB5GZVDEuvv8QUdpwTz/agIoz72HT6XISqGqwyz+aJIaH/bxdW1WjSPQPRbR8iUl1eTeS9+gPtY/RwZf+1ZAluluV85wPmqpGpVj5MGKvtIt0uuIZM//DKBQ2Ay+7zCv+VPYaT5UX7CcGYdQUO3EQzUFdLSEBouBNojwr8nlmvc3XNx7DZOFHGNSOC5Pb6DCtmpUH7jZpGOI24plYcfP83fTtnBvlNegt2ZIuqoz4su6xC+ZdGDItRd+DrWFHOPpon6c/7lPPY+Qbo7LDJhdwtw9cA48t8nT5P3XCmCEuaGkc4yl5N+1rwsrH/oGWnvpP3VPjqO48w2s91mtsh13T2O4/zYhiw0PzOzBhuy4HzDzNJc1/2g4ziLzOwTNmQBijOzbWZ25fnorb/YtqbeggHuDREEL2o9Kadd1br9oiaqA2kZWCycU+Nm87AcfpHMscMls5h3qdBuD/C3fSI1f1uvyJcSQS1YOQ+rtqZcRMMITea2GFFLqpGCOVYwrhaR3GxJxsUx4JbtQiMTlrNyo7Y9KZy/rejwXefxqRS2xTV8/7S5IjfMAYKf/Mv5zeZjXFDlcJkkQrAHxLXfFlHyY38gJf8/C4Hb1U76yb6RfU89QbCnKmtfewkBcEAMz0bNds5DFYWddA+/MdhAoHz4VQ/69gnecJlfeHVaDi0hspRJDml2/3peg4SI7Lz50yj4VGur4bofraXgmzuGZ0VVl/9tIS2RdyeQbiNFsdvWCq7d08ICnMWfWuoAO9W6TF7Ma9N9WwlEUsPJu8Y8KELTz1EJOLHGl6YyMngGDpTT2nLZleRvgckih9dx8ouWMq5dZT1/myccqmNm8LfRv3h9eH101v1s+Hx0Vn7yPeWjU2FmFa7r7jn/97Nm9mXXdf/7VDmO81sze+X8n3fakD9Pn5nVOY6zw8xmmwwK/p+WLHI23BzhRd9m4bdzzUwRXXGOwtC/TEB3Jff82Bm+P7tdZHqdRwZXdYza8todBBfX3EOw0rSRh3TMfB6MtoP8baeXTLS40YO+eSKRWUw0hWZoFIGjuhqpOE0BvuwDokr1Pr6v8GnhECgKC6qK4ypkX7X1fgaIEAFqJk+mcHhZFHmcHEBgcmg9Qci40WTwbQIAz/zKDPT99F+5xneLorBL6mlZUVFXidG0GJwQQR4RYo2vmEIN90e7KVxXiBIno0aTyZc0edAnSr6ZieR4QcIxWl3/BgX5PhcQzN+pLOrnNnBs02eTp/S2EMAdOkzhPXksBWl0Oq2VETU8AycLeAaSRSbsD2RQ8O8opvWvtY7ruTyZc1s+QPrOzqelouiUcIQXUXElezzoaxdFYVWV71d/QGudYyL6MtN3HjVVBBzjo73o6xBXhg1vCsfjfHTZlibuz1Xi6rOzUdS3e5l9M3/Bb4y0v769kzw6NY7jlDuOM9513TNmdrkNORinua77Z/XjBjP7c6rgMjNb5jjOozZ0dTXfzH70dt9JW0DifmQTw/FuEQXkak/SQhIVJ5LKnfRdhoYG/k7V33m+i4es7zCF3GU9nEO4eN+pR0XEUbSobLub72sRheE2qyiuQDLHrEle9FWdInNoahZlAkRNo0ERbdG9jwz4yH6Cx8x4gsfKfo5laSKBSMqDk9F36KsUJB/1+ILH4GgyOJUgcrFILPjDdg/6viacU1UpBmVJcrtJ26sDvejbV8TnLhWJ8LInkQbO/J5CPVJUB48QiQpVAlUFatJTuI+9ovZaVIC4kvmdKG+RKmqvieif2h6CvSK/q+hr2nkGwmIIursrOd6fHieoyxogvd/xeZ5bJ3sp+vZ8mpnUZwowVXWSZyBIXBGrwIflCwmKz+zic6/WE5zdKQIaDm7iuZ1zBxWtx5+lYrAgiIqbSosQP517e2AjFcY5gaSzp2p9z8YqEd3YLyzlTTVUxsb+O3nKq19iioEliQSx/V0Ea+2tomZbCsHkSHt32zsNL59uQyHjITZkmfmAmf3EzKbb0NVViZl91HXdasdxoszsD2Y20cwcM/uD67rffbtv7M+8HgMcdyUZVW8Zhf8AebetKeDh80+ip0JN8+ZQi2ktJjM7UkOBFiBAzaIFFEol+z3oy5rgRV+Qh4z1+Daa1E8GUVAdDOI6faSfwqa6X+SfmcYx7z1MgTtvrjCzR/DQtxWxLyKZAuf1Q9yzqSFkmM+LENfbQ7lv3nbfdVHlD5QQzZlAi8TGUxR8mYNc4/GTyMxfOsN55YiEjlkx4qpFGH/j0nkuTFi5Dpzkno1P4jrtbiItZwxwbqmxIuJmLPv+cIzzvUTkPpp0PYXm7ue4tynh/G3OYvbtWO87D/8in2ZmOzcL4T2VdKzaKyc5rxlB3LN9A5zDMo+wADdQoDeJYIv5E3geQzNEgr90gl1Vmb2tifwibTHBVPsJ8ounKqgYjBHJJWeO4tqfKxbWoDG0gG4oFlbw+bQwtpf5gpiWRvIylT4jOJVrXLmVSoEqghw1jgdyw3oCx52iLFHeAO0Nnyx/dHivrl7/yfBdXV356ffU1ZW5rnvYhq6fLmziht3Mdd12Gwox/181lePF7SaxhGSSSB9fL66zRAhhaIzv+zYfpfAK2E86SB9FYbt0Cg+yajX7aB1RvgMBwqDz47088LNE7pZFfjV+zMzmCZNwtIfCq1pU245YxoKlo4o438bCi6s7lrCQ5Ff5BjWeZlGfSyU3W3GOi9UucqacM9+1n+MhUx0U69RQQqvZrFhaZWqaKahUlfObPWTSoUsnoq/tOWr4qnBqYxHX/aiXQkQV8EmcxXOWv4nCYEsQ5zaqlcIgvJpaxhLhyBwbS1DzyMsE7YH8hM0TyQu7CzmPBX7+cA/v4vlOEDQWsZjPvfAr8uhxogZT6mie5dklokSHSKSZP4Pg5wUBEr8rEs19rI5gPLqSIPZc0cUpRqsOkPYOiwSbC0Xh0C5RFFU5rk+9jOfvEVE8Nk6I4kAPCaPBj7eqLOrHDhH85YmM3K2iBE+CKH56sohrt3wpZc3qOcwgXfcoy76MtHe3/d1nRt6YchsGOE343gg5b2FTaZ51ogkw6p/3NTtGJpGBKitKZwUlhsp50iJ8J94UzqR3CO1kj3DUyxaVnA920c9ksajwXVhJwZcZR6Z8TqSc94hrhhyR3C1mHhlLyUvosp4+MkJVsiEsiZsbGEOQFDxtFPrWf48MOMl891c5i8+aTW1eWSSWO1y73IXcn8JtXE8V0uwRUUMql4dqKjt2SCABZmoGxxwsshZXnfOgLzmDc4vI5P4U7iQ9hoeSfpTD/PpSCrlbv0Ca6t3F3DoHNtNXYv7Hfc/psd9wjScsJh0X76IF5tgAgd78GArqllae+YwcL/r+o4pWsyU9pAtlCfjqFFEKR0SiRSzNQd9AGRWUfS960Ncp/GdUZOnToQQJXwvnYKpFzpwGoc1dMpZXZqoobIYolrux2ZcGrs7luxqrSE+R0aQLFZSQnUAeFZ3M36qo39gkrlPEKK6n57FNw2vRefVHw2fRueof3juZkR3HGW9mT13QlWdmXzUzj+nMyFeY2X/a0DVXr5l9wXXdTW/3nYaVSzDA/i6RBVloCjvbKNSvnUlfnt17fZ31ssJpLciYIkzRe6nZTM7lXW1ktsgme1qYSYWX/vTrOZZ/WetB35JuMqSp8bQ2lDVS4E6dTqbXWkXLiisE6S/bCdi+kEsGrELiVeaGWcK/5fEiatY3ijT+Lwsfg7uFf8Jn9/iO+d8SvXjmZw1CYIocA7EiXf+c6/m+1sMip4ioLVQkksBVB/AbV3fTcnFcZKle4Fxcxew3KuiwmiWuNDNihZWnkzRw2xJqsyc3UWicDeC5jRSZhhVnLA9m71zhL5TiVwpFlYtpECURdvR60HdlqogUvIQC7cTTBCuxkRxbfCaBXnkB10mVdlD5cS5ZRf4TEMs1XveMKLoqMvSqMjJ9QkHJXIkue0gUxr06htaqEBGyf7aMoGbSePKp7QUiYtSvntboPiquXofKQ5XIZj2jj3s25TquSdFa7kWNSPkxQeW/iuP4Ut7cMgJ03sX2rlh0HMcJNLNKM5tnQ3467f6ZkR3HmWFmta7rVjmOM9nM1rmuSyr1a41XEego07sCHbmxBCfZn6XpcO2/+RKfKtr2yoAHfVcLJ9G0SeIQHOSBr+/nwbj0fhL8g0+RJr4u5qV8NlSUVNRkfrflEL/b2SqKcIoEiYlzKISPvu7hYESLChEWohlejq+EYyms4ZomhJApKUc//1w1aUHUslQeocRUvis4nM8ph93w0WSsT24g0LllDoH46d1k+nFRHHNHF9epU5TKUHV5Xl7HsTwSSKb84X6u+wyRaTnCI0oHhJB+1ohwaM8An5scxTHHpdFad/YsLSQRfiVJzgwS1ISLhGlKUWhtEyUgwkjHKpmoKkWgrkhTb+ccyh7mlVRgkIge6xKlUSK4F70ip09NO60cJ0JIUzfnUHnYXESgPDaAIE4BtlHjOLfXCkgXV03g2agrpoUtNsH3bOwToeTxLvdMZa7eLMrotIprzlkDpMW0dFp+4pcKi9Yb/G3u4Q3DC3Re+cHwAZ2rP/fe8tG5oF1uZudc1y39S5mRXdc9dMGfJ8wszHGcUNcVasQFTUXmpMdS4ChQ4+90amZ27utkyvkxvgRZ3UpivD2N2sSxGgqg4AIK/tgYCqUxk8m49/yRc/3l58l8dnyP2zY+i/NSrWmv8HkS1ZcbvCLDrNC+r64g8xmXT61NOcAmhfGAn9tPQTp6Nhnh1Djux/FTIgVAghd90eW+a7A5gPudL/zAEgbJuIOiyR+KD1Ejf6OU31glIkaCM7juypLmSSFNJUVfXN6kAZGmUyRLtj+NFuVMzrLPK65plCm/p510dvMCXtcW76a14WybB32TxXXO6FEUVs21vpr1JR5aA89U8iw3ijOgpEHeXCo33eUEIWFZog5VNwVu88u0hvX3cywtHeRvKqS7VyTFigmlUpAgfKjii2llDonj3BSoUfXYlNW6vYHKl6oD96pI1Cews1090ZdGk8oJ9DwRpM+nqglq7hDXXofOUSkoCBTWG3ELsP0RnpV8UeV8pL277d0COreb2RMX/K0yI1/YbjKzQ28HcszMps2mQPv9cRL8BydS4Cb0k4DSGqnx1Nf5CiGVGE5FDZlwFfKkUhCo6sap8TyhYzLIpI79kIywT0RgPFlPIHFHMs3sLzbwkN4gnpt6B7+b+LrwpzjBvbjmKprPx9cT2B0RRSifFXf9/1FERlgvwumbRCr5spMe9OWken3+Dqkj852wkMCxp540oBIGTv2iyHS6h/4kqkbUYy9xLHfdTGSy6Vnut6ppFC2qoYdHCUfheJEsTdT76hogWNkcTOb9jxM4lpI1FAaJtxDUjMujJtz7iIh0EVdQhae5ppGhvvNtrCdoCFNJ/66iQrVtDff7tKgirkrGvFHK735YpMUIi+dYssbw7J3YSKVAgZqIsdyzyq3ci5hEnj1Va7DutChE2s/3RXSSh2SLqvYDorRMWQfP9y13ETg88TTPi/eYL2rPzSLv8cyiHLi/nHvR3cS1mzWe/FL5D5VvIRBNF4kQ1ZX7J9HzN24jJSDeup0v5nmtmX3lfNcvbSgj8p8zI3/fhqqa//n5SWb2X2a24i3e+d8lIH5y5Uz74AzfaJ+by8iUlcPHgaMUBjvDSbirB30PeNkRD54ZtYiHLMGhwAjLEvfXdfztQBOZdKC4I1YOpuWiWFyn0DXVrWS7YMBNgvF7nxeVjGPJgC8TGs+Lr/FG8qaP8LcP/5Fz+xdR7uHHbWToX84jGC0SUUfBwrwfk+n7jaRVnGvVGlHWoIlm8j5xj/rpHxGwThvgmnzo3yg0z/0Hf3vgGe5PtNEypypXJ+VRWJ8WOX1SREbmqjMUIiVBBJ0fz6OAGGjjOci/kjTQe9SLPhM+OoMuaUBdESp27R/WrUL440VKiTdF9NckUZeosJEWvBjhuH9XEgVk5VkCPeV8Xj1IoTlnFDWtgkKOOaKEY6ntI30vuY571nWMoLO9gDSQ7yGYSJ3Hs1wgcuGkZYnafXXcycE27lFGHwGWP3A6VUna8VRybIke0l2buBXY4XIOq5Mok34violeJXKqXZMmNOaR9q62d+yj4zjOdWb2oOu6AC6O4+Sa2Suu604+/3emmW0ysw+4rrvjYt5fc+lSDFBlKVZZR/uEg64S6vFJvijbvxaSmVnifI5tzat0WE0TqdCrRWxsuQiX/cwXPeg7818UIoV91HZ6xZXh9R/j3v7mdyK5WS6vD7YIJ7/Lp/K5/SKPTkMgGXWmyL+SP5F79kIhLUSrRa0eVcYgUOS+8eSIys1+PK67heN9pZbzEu44dlkSAZdKCpazmj8++TyZaN4kCtJzJwiIxkzjcx21JKqzIsrOFa69Kjvt2VD2LerhehYGch7xA5zvnDzuY2M1afkPLs/ochobbEDQvKjkYCES/vi2qRMpbGIeWIq+fZ89ib5m47pPSaJFsKOddNHdS9o76nD+wuXHbryaV8RdZ0SqCHH9FCAUnuxFtDYUbCYQKxokuMh1uEHK+pccxessTwr7uttEyoJYUeZnEvlAy0FfINvbxTV+uJ0g5MtfIiA6+58M/c6aSvDXL3L+haaKq8p+rnvpXhGEUrpmeH10XvrO8PnoXPfF954zsuM4T9qQY/Efzv/935mRHcf5rJnNc133dsdxPGa2xcz+3XXd5y72/a0fXYkBlq4nceeu5CFY+xKZ/PxMMrQgv5oxNWUkvLF38NBu+SMZ1+yJvF9vqRGWhhBqt1HJ1DJUHp03DoqU+yK66Lf7+ZwSVBUi577wt7O1oSLZYK+4r59HIdxZxTdGpHMNvIUci6pDpJyRM2PoK6Gquidf7fH5+/GH+c2VIrrG20AGHyDGFhNPpj8o6lXV14uikcG0NvxU1PC6qYvrOS6ZV1wRIqIjlHqCVeynlpoxlZq2KmdyrJvCcJ6o8DwoMgh3dpLAu0RR1HELOLe6EzxXysk2Odd3HgM9QgAJy2mfWGOVEDQ/jmOLzyYNKAtUQwlBzR4RxVYnbO/XhPC7XSLHy+illMJHN9AKtSeEdJYqygUqpUVU6JD191TtPpWSI1qEeq9r4dpfEkjQkbPEFzgdWcf19HdQN9OJaJ1gce33Bif7tR7S8U/H0Mql+Llqia8Pc9TVCNB5ix87ToSZlZtZnuu6Lef7HjGdGflfbOh6q+CCV6xwXVfcQ/1Pey3ldgywSVgMpod50Zcxgwf8+T0U/jMDfAWkyhVSUETQNPt+CmobEJlE9/Iw1pVRYEQK34lmL5m5Rzg3/7yTjOuLoqLwgPA63S/CnBuDKAxunEeLTu0xCv+sOyn4Hv8dGcbdP5qAvoOfPIw+//BgM7OYNAI2bxXXKnk6GWbBVo/P380iAi5T5CpSvi2qVtGTwocsq49S7rJrqPUHjaElrW3tW5aD++9WXcR1DxORPir6p18AMf8aUWZmMZlczz0H6cQ5fy4Bf0MBaSU+S2Q5F07LUhjOJVB8/FmuwY35vlbRiGW5eKbpedL29kqeiwhxraY4aEeAiKYS1l6VpyZVFGeNEs6zCsSrvC9nReTUJBE2rSx9MUK5qRNh06XiOj1KrFXiAGlvdLJIaFgn8teIfF99vaSV7Mt9z2TrUX6zo4VnXlVlnyhArALTW/s86Lte1KOrqyTfL+0hHV9X8/jwAp0X/nP4gM4NX35vAZ3haB1fvwMDPPlbHtIukUZ7VBaJVDmhVW7yZTY7hEZ1xz9Q2zn5IyGoRFhy9nQCncO7qVbnJnvR19rK77YJ7UGVGFDZeCv2UIOs7hCRXWFCMxY1rJaFc43jRBTB8ZMUGgu+Sg3t8H/QkpIQS2GorAOtIgolNko4xbb4WuymjSUg3FXIq6vFU8i4yk970NfeJ4r03UmBceJJrrEKv90USqacJwDreFFgVFkqCl0KKpUVdsJKCpafiDpHS3oI9uJEsjhPIvdxayXX+aolXOei7bSylveRbneGkZ999cO+wnDPTzneLmHDvPQWnttvvEIgdYsADQqYqHDw9Os5h4N/IA14wvgNlR1cXeXUbCUNZH3jEvQ1/2Aj+oLEfe2Wk1QWs8XVVYJHZMLO4Dxqz1H4hwsQF5vF3545RB4S4+eA39rF8+N1KQfqgoSPkohBuV3kYju0m/xNtahAzitTJJLM2DXMCQNHgM7/39b2D9dggH2lZMCHdpLQFFFNFHV0XnvBF9isFgzu3EuC+cTxXU83UxCM6SGzWDCGAr2i2IO+YFG4L1WUilBm9pdrhLAWRfXCw8n460QG0+mfI5Pv2nwOfd5SAg5lgSkSvifKz2bMEs43MIHCumm7SMi2UJSAeNkXYKRkiaRowr+rqJwAeNqlBJhOEM/xwU2iblQcv6vC+hOFwFAWDmW9Kt/NfYwRdKtaZxvXbp9QAi5LJy2rSJpXGkVJliReJfd1k5bjx3Nv60+RBhT9PNrh648RKiwXItDJUvv5rjgjT8nL4VXtXmElnRjjRV/KNIK/3+4lkLhVpFPo7+UaB4rK7EXimnfGQq57P4+ZhWYSjLfSTclOlJG++4QP1eQUKodVteQr3aJ8RHkQwUl2v7ia9atqHyHydSmrfWO1OHvpBJPlJbT8tIhSM/Ovp6Wqv4Z0/PRBWoA/Nty1rp7/1vABnRv/6T2bR+dv1pq3kxG4gyT4mZeImkuniOQ3Pk/humKRrwZ56GkeWpWfY2MZTfbT+2kmVZXPw9LYN2EyBdDRFymo6supAalKxsoFs7KTh3mUuMqYMJ8M6cs/J7l8LPDiKsR3NV+c9aLAKLx2beU3Lgv2oq9JXN+FHiUQWWu+gqRPrGeUsIQ88GECCe8m4XtTxfFWBwpflGYP+uZN55XPoPCT2Cq06lkneQt8upuWkDmiTsCJajpn1gj/hJsuobVljahLNNGhgODFoll3J89yrZfrF1kvBFoYF0bN475U33VRYKCxjt8sNZ6VWZ8kT1n3M4KadSKJ4FiRUbj1HM/FB0TI+SZRNT1REMbkfPLB+Gbu996dVIJUaYfCAo45V/jljQoX18seIdSFIjjV5TzaAwTtCQW0cTO/MeB3DdvZwbNXXupBn1IoovK5P5E1pMV0URbizCvCCjlA+bMkWiS2GmnvanunPjqfNbMP29A19TEbiqbqPv9vnzez75pZkuu6Def7pprZr80sxobk8Jw/P/+XmnJGHmigwOklDrGSs9RkYkQa9gG/7KQJ6ST46lISbVSUSIomnAGVBl1cSaF8LIRM9K7ZZHqBUTx8/7mNDOQ2l8ImUDjPRscKYNLBeag07wONnNuTQvDNEsn2jgtBcv1C+kqommLhqQR2G3ZTGFwxl+8rO+yrQeaJkB5XaPPdpfxmYDjX84sib9IXgkXRQ0ErY1bwuf4mMtamM7SaRcYLMJDAeZzaw/ElxPC7KtV/cDDXQM0jLZeMv1sU/9zQQLpdJCrOZ99Amt/yCEHxwTDSygN5vjSw9TTpZGoshU3aIgrgqm2cQ+Io0vZAD0FDbwfXU12lD7SQrziiNEjldtJA1jV8TimLgcEipUIZLSsJ8ZybogsVSn5oLflvvLjSzJpFkPQrEUhxqQikOCci/lZP9uWZQYkcb8l2AtsS4SujwuZVSxzLNf6VKA79iblUFFQ9w1W1Tw6vRefZ/xg+i87N//LeubpyHCfDzLab2UTXdbscx3nazF5zXfePjuNkmdnvzGyCmc1yXbfBcZwgMztoZve4rnvEcZwEM/O6rigWdEGrvYwlIIrPEBWPFmG5IlmldYukbzuLfS0zV36UwqH4TzyMgcIfR/mJhAvTaXwKGcirlbQQTRvkARovIlBeEkL+shSap1VY9rE2gq5pHpFhtoULmpQgNHcRBhqeI/IB7STQ8Y+QMTNrq+Waqqy1IcKqlTXJiz7/e/2pN3IvTr/Eb+ZO5LpvO0ZQlyiuN5JjxPWTAJ3K0VFZZYLFuVV5VZTmujmY+/gxEbV3YNPbF8g0M2vfcnGRhmpuyhfj5+2kxy8Ix/q1xVz7MQMUhq1+/hgTkriPKiLqUDOtQypq85S4tpl/Lb9Rs51rp6LOVB6dlGTyn8Tl3MeCp9ElK8Qr37+4BBF1JGg0MoUAsLmY71NlMH4mcmJdLmoXjk/g+v2+k3z/xj7O7UCAL2+YLRS+XhH6njeWPM9bwzVuEbl1msXVVU4MeVl4JOn9K83kZU+UvjgCdN7F9k6vroLMLNxxnD4zizCzP3O8H5rZF83swprVK8zsqOu6R8zMXNcVNhi2sGwOMbWZh75TZDx+UzjAXiUyKIf6cbnXf02GNDORGkukysx6ilrRsnt5CAaq+dvFDdQefjFALeO/JnFeydvJfB4VPhF3eni9MRmJq83WizwTqzy8BoqbIArmnRX1dkSu9m39XKvre8iU+kVIqsrRoax1G44QAE4O92VAzXuFj1K/B33BIrlbXijHmzaKDK7LyzVpaCCD6+knvY8O5je6xXO7SoRP1ngCGO8p0uOLWwkaBkSup4lv8H2R+eI6R2SKDRVROFMDSXtfXUQa3fkGaXl6KPnAOVHHanKM7zdURm4FTutF0dBXhd/b7csJ9JxI7u1AvwDik2n5euIofTaucjnXJ54UETzC4XmOyB22j7La7u0S9ckEWAkUifVSLuVaVYsI6S+Ppj+XUmQ8o3iWP1ou8gYJy/PUdl/+3S8i21TmalXYVUUeZuWSZndWCCt2LpUbFVH4ufphl/v/59pfDXRc1610HOd7ZlZmZl1mtt513fWO41xrZpXnrTYX/mScmbmO46wzsyQze9J13e+od1+YGfnLsdPt+ohRPv+uokEOvUYt8HrBgI5upJZa6ueLMKaXoGFDM39nwqo5M5DEXfqYuFIIJ3EnZPG3HxR3+MWPkmG6RqZ3ezT9bFQpMgUkbhV+AkE0LJiqKx0pQGG/SCKgHKPbmyk0y1s4t4vNmTMzkJqhf22mtATu97F6rkmaiDpLE47hqubW0VAy5IXCWpc3hvg/5koKvrqnRXRaD98XdamIdsuiwGg7S8avHGq/UM5z9ot8ArHLs3n2PFcSJDz9a6Hhn+Hcln6emnXRL/nd+B7SQOoMX63fu02k5hcFGM8IUDNV7FnrGdLF61tEdJYo2PrIAe7tDSJBZmE5wdlYo7J07Rju7VFBj59fwAP5+hZalK//2ST07fn4IfSFBZInrRWlQT7USotYZDzn0VlDvpe4knzgjYdFsko/0Drr06SdvqNl6HtqG8GKqP1pfdxGGyXSR4RP86DvxCNUMvJFbcBhb+/zEhDv5OoqzsyeM7PbzMxrZs+Y2fNm9qAN5cdpcRynxMxmn7+6+vz5f5tjZp1mttHM/sV1XcY0XtDqLufVVWMZNZT6NvYpz/3pk8lEdp3wJfAZwkyuzLBHSkSo7b3URJo3UxjW11B7yBhNZlslcqNU95CBLFxOxtVwiMK1vYNAol9UUB69wIu+XnEew0aRIdXuZp/KxKoijJIv8irsVAGvC2Zfz/ULiCGT66/yfa5qN9dThaSmJBFcxU0kSDq9hWAgXoTIK3+u9MkiwkzUWXOEL0qZqF+UvZSm/XNviHVP59yEImzV5US7GcIfZ68Izx8X7eULRVMJ85KENeSyf6PyMXiOAqxhgy9NRWcQiIdkkQbWiYSjMYPCKiOuKJLyRAFY4SuiQJJyjM4c70WfygdU/Yi4Wmviek5N52FOWEr6KXmRAjAtn7QSlHhxOnP1Lp6r/+rl2v9bohd9FZUe9IUF8fxlT/T97ZMnCSZjhFxXOZLaRCbE7H4ReZdKhSo6VVSNb+OhamsiWBt/+vXhvbp6+t+H7+rq1q++p66ulptZseu69WZmjuM8b2YfMLNRZvZna06mmR10HGeumVWY2ZYLHJNfM7OZNgR4/vIAhRUhIZtMJFI48BWUi7ovc9m3NNsXJDgin0LLYTK4qdkEF8XPisKFGTxV424R9XxEOG90nXCeFpaFoq3Udp4UTkoruzmWQBGf5fYKp+U7Z6Kv5qcn0Le7lWs8WvhObA3lAf+Hz49DX+k3j6JP5Rx69WWCH1VVeeJncn3+9hQX45mYAQIE5UM1dweZ/gahyd7US/qMFM7s3Q2kvbZGrlPmtQRJ0QJMbX9NZJNdTSH3xTcp1K8VqfNVJNZr5cJfKpQ0Oj2ajL9QlKgQbisW7VCgdb16GH179hJgXXK977q0HeUcGs6JXDMiN8yY2bS4vXyYgnTaKQFiRbHSl2p5tXqHuF6vKeD53nWKPOmeVz+DvsTvfA991XtJU8mLF6Ivbtd69HXUki4K93MfC4K5kUujuH4fFbzmeLkojBvvRV/yTNKU2+u7l/ffKfI3/ZFjy4ogryjrJOictZR8v/ogz3xfmcovz1baTGV2/EX98l1sf+dpZt5peydAp8zM5p/PjtxlZpeb2fOu61725wf8LDrrzOyL55/vNbMlNuTL85bNEYj6V4U0MT4o6jBNjqJl5vjD1G4m3epLpNXrRBG8ZiKuUTkiIaFIihYcTSBR8QoZd2ULLQFnQsgwEwZIlEmDHPPnJ/P6oKOBBzwmm8ziJ4fJgOfupjUsyuEhLRVVr0cJl/Plorp8wdcInGI8nFtBNfcxXFiNxt/KD9c/4av1h8dxf8rOcC9muhyvJ477Pb2WALOim4IqO5CWgFe9tFLcJDKsdh3hWFxXMO9wWsi++SaFyGfEWDaGcA2uEAki61tFAsJRfO5YEed26T950De3WCRmfJl71NNI7bhPmKF6y3xBdtzdU/BM+0+ZD6pnkILq5AGunfCxllbXyFqR3VjV5sqm1aPvFMcSJH7b99ufoe/FzSJzdST3Z9fHDqIvItCDPhWGPe/josr3OfKL46L0RGoilYXQVp7b2BQqS6++ST41P94XyJ/ZKq6LUgm42oWD9uQMKgUviKjSBWI9+0XW5uYO0kWMKGQ80t7d9k58dPY4jvOsDUVS9ZvZITP7zVs83+w4zg/MbJ8NhaO/5rruq2/3ncLdPBgrXFFLSASp9wjHL6/wji9d40toqeP5flWbals5tccVMwi4Gs6JMgm3EzglHSBjyKvgeNcLJ+NAUVhQWcMGaykIfi+cHz+UzLFEiMI3p/eR8V8tohzG3se9qFojsqmOYV9ACMHunHxqVd5TJOfecyLstcqXUQ0SD1q+uGapaCVYaa6hJhsq8iZtCee6zxDRbvOFBaq1gcwxpI178UILgcTlDgHMaOHIHZvGdV8tvlHVwDWoErXSZl5NAdTwc4KVvd+iwNkfSvA8U2RfXtPP9fvgJFpDwmf6rotbq3zXuGcZicKpXOT9mUisa1vDuCbpwlR1TR75RfU27nenqP8VJcb82nNckyXJVPi8zeRJVSLX09IsrlVpKZWMbhGVOiiKf6p17hGWw8hIgsJ/LBYZ60XJna3NvjxpXhSdKQvEuVVlX1qbuRcZIlda1m20/Jz6A2l28kqOpav4LQOPh6eN+Oj8/22VC5ZhgH+qooairAMDIulbqgjT9G/hohBiXQlRQ84ykX+miL+NmELh4HbwIFdsFhr5VSIfRzHnUHtS3OsvF+b+sxzzKwUEOjctpla9W6T/X3QLhcGBZ0RSwgxxwEWouyrtkJhL4KT8RwqO88osM8OLvt5OX8b6BxG2OlcA57GRwhelW2ioghGqUNPoeJHJ+eZc9A0Ui8zD4qp2QGjBHdUUIvsrRPmRYJ4f5TOmlIfH6wn4LxfncWsg6WJRP1HChMu86Du2kUJuwhRq268If4w4v0rq01P5u8oagqvXwkifNw2oLNXosrJezlVx2imJBHrBIhFitDCJBmWQr7Tt5VlZU04LxA2jCbDKCz3oq+ujlWOGKJlSUMizN20lrRwFGznm0fO86BsU11lddaQ9lUX7Rb+khA/cR578iLi6uvcznOve7/IMqGzoqip5xSHKjLBwWqdPNpO2rx/uWldPfG34fHTu+Lf3lI/OsDSVxfRjs3lId21nhMg2oUXf303NNSbRV+AoIaqqo3cVXJzJcddTBCFZwhtucy+FZsALfF9aHw9QvIlIp3UUhv0DohK2ADVlu0QJiPF0dHz8RWruK9PICCMSRO2afK7Buk0UmonHBYgTBf5qXGrRnmbON+cDvut8y2/5rjdDuMbjhUO6IBVZO6u0iHu7vYsMbvT3KKjG53EfO7xk1AVN/IbKRzIrndaw6Bzuj2LUmTO4VqMquS4DQvqXBVCA5wsLq8qvNE5EpoTmcr9nFVAwVfT7vi84nKAhM92LvutrxXXjVD73srCIxgu/twmiBMT+RpHGYQXP2fF1fG7G5z3oi1t5BfpWfPEV9AVFCr8YV5QLcTiPehGGfTyYexH+Buln8m+WoO/cp95AnyeJADh6AmnqeZF2YFWEL8137SU4Tegn3/rZT6l4jBLlxtuKCa5KK3j2moy/je3iOVtyqTApD3cbsei8xY8d5zNm9hEbijH+reu6P7rg31Rm5K+Y2YfMbMDMPu267rq3+0bVwsswwO42mnHDooUgXUHws/mX/MbEVF/z7P46XgEox0QVSVPTTOYYH8HftnfzEGRkkEmrKrsqE23eEgrIxsM8kMpiUt3EMYeImkGRYQRTHWIeEaHcC1V6Ij1cWOFEWYgjAxzftSJj9COHKHDuv4zWkCc3+oKp5SI/UMIk4Ti7g1q/KmNR4dLcvWw+wbmq0aHmoFhQkigLMTdWFJkVeUASZor0BMJJfdsWnp9Ikd9TVb0+KXzLVAV3NbfZIuoxOofffVEkyZxspKmYaD9FRlyfRMURTKpMwQWDpONLMghMGmoJBlIyCRILiwhgxo0jPQaJDNzVZwkk2sR5DBZnedRUAuDGYl41+SuBZmZFhbSA7hCBBao+l/KtOxRGWrnFw9+qSuWqaK1/vTMVaRoaIg6QaJlX8ZsFz/HMK76Vlkl+vqmCtxErx5I3pGzePLwWncf+dfgsOnd9471j0XEcZ7INgZy5NuRcvNZxnFdd1y04nxn5ChtyWP7z8xPN7HYzm2Rm6Wb2huM4494uM7Jq5+qInscFC+eyzRRysydyPxvLfJmSqsRbIoTX+MlkFpnLxqLvxH+QkMfO4niVn5G3gcynS2RO3bWevjKFIXwuTqz2yhkEDWGTyZCKnyV9jhNZmkv3kwG3iNo1Y6MIJlRdmuvmCDP7AX7jI18hXTT8njSQ7heqfK6ev6vcwoVKiqYQ3SmsMlHCWTwokcz2qdcJqNPFb2tFkdAcQSzt7fzGmw5B4of6qUGqelU33E5G/fBzFP53CtAZsov0WC80XGVdCo3i2rcWk5ZVZekJ1xGwvPac7x6luaS7IJHq4EQgz/wtl3HttmwkIOwUQRSOsHwpJahAJFtUise4RTx7L+4k+FstcmIFRnF8e9oIYNKaqbTMv4F0kbnXiz7lezPvWl5hx7xKUBghypk8eU6EiQt+tswvI3xmlrDynSYdd/SQPtNqyacDAkStwUACJ+Vbd9V07sXPRR2zr6Lnb9xUavD3UXsnV1f5Zrbbdd1OMzPHcbaY2Q1m9h3TmZGvs6EkgT1mVuw4TqENgaRdb/WRSpHCXhXJVIcqNEoU2KQssEY/T3iV/GpGrCiJcJoH4/A2PtcqfBNSa6jdJX5sBvqK/pmM9ZI5vGpSCbamhZJ4o2aTqRx+kkIpvZx+QKNuotbWtJkARqWwXzqBYOWFQjKuu67h+v3zazRPPxjG9av++Vn0tbaKmjZ+IdIfEnfzv/gJgcTCdq7nvHAv+lRpEJWe4Pp8Mr2WyosrdxEZIQoLTuGe3VbDvrqDpNtlmaSzqrU8LJ0CXHRWkQYmLaBVoqOCdPEf9QSKN1XyfTOmErDefxstAa/+iKB1UrivoKvroPIw43auZ+Z2L/rU2i2eJ6LihD9JheBlZ0QOmSvm8aw0FZAu6o7xt4tjue77T9KK0COuFm+4nhbBgWYCx+K1PFPpIoBjsIbfcEVB0NgonrVqkT/sQ3cIr2/hjNyx35fvK1AXE8Nv5kwgT2k5I8qWCD8bZSkvb6UylhpEy/unLyFtj7R3t70ToHPczL55vmZVl5mtNrP9b5EZOcPMdl/wd8X5PrQLMyN/SWRGTo4kwb/aQS3ojiQyjL4Ocuoov1pUKoFefDYPcthUoc3/iQd5qgBJZ8s43oDfMbwzwCjkd+8l4/I4PHzTPyKkUgSZ47RreND668jgtjzC+c72S85lZjbhcmpQv9xKUCOSQ1vhKxQk3/4oBW71Y+JqTWRYLa1XOSp8GWHJLzn/nQ4F1dJAruebfR4+53L+0WNExexjFF4bWwk6RdCZ5Qvr34HdtCx0iHlkBJKWj3ipzceL6tijVH2uTrKRij0e9Ckn43/w0koWL4pktlZzrQJ3F6Evy+E8Dvb4jmVcIPlH52ER4hzNubYLn6/WUtJs8kcnoC98LfNBjRObu3E7NfwrP8l93PcT7mNUMPnA4muFVSKa83jpSeEvJKy9r7o8U7MOE4xPEBm4eypIU6HClzJjOde+cz/P1ctnyFdWZvju5Ynt4nowl6Du3C4P+lQR5FELCIiC83n2Ug5Reag9yXUqFYBoFXr+xm3ER+ctfuw4H7KhbMftZnbShgDPQtOZkX9uZrtc1330/G9/b0Mh5s+91Tda7rscA1Se+5X91NIuu4oH7eXXCRxWL/AFRMd2iMRzY3gwDhXwXc2BZPrjHDLuIhF6qVqf0LxmR9FkvUlcocw3Mu+8S3hIi3fwoOXOI1Mp3cvnVCHNQ13Uqq+7k2NR1afTQymEVARLlogSekZYzr60iP4Tz/ilulfVsk92etB3uSh8WXGQtHhGFOFU97OXTycQHxT+7T2tpClVbDF6IgXGrtfI5IOFRVSxudQI7oXKE+VZxH1UwGHDWQrwtAEK5m7h4h0XIEJ1V5OWVdX57Wt9rwjnTqUAUpb74lMETTljePYqijzo2+XQ6hElvnGjcDwOyiH/+d1DBDr3zCII+cEh6o6XdZH6xoqw8S/Uk5Yf7KHVLE5UIFd+T02dVKpUcVvV4tJJZ2dOc11S40hn/hnHZeqAGbSsbNzJtUs3zjU8mGBtzI0XBxROPM31jBQ+jVOKXx5eH50/fWX4fHTu/fZ7x0fHzMx13d+b2e/NzBzH+ZaZ1ZrZXfaXMyNfCL8z7X+KgP7F5oTwgCvhmiJ8FgrXkwG3CyPHa7t8GfCVC8hADu0kYo9yOI7x8RSaA8KsGSzyM6QHcA5fDhDaQxsB1q1TOeaqM0Lgtgrn1GQe+uPbKCAnzSNwVFaEZFEg0buNDCnaoSZ8cJDMdmYIf3tMOCjTzmX2y+3svdEvO2v6Up7xbFHx+fRjHvSlZXF/goo5tlX3cW9ffoSCP1ykoV/xj9S+j/3Qi74MY9/iB3l+OrYQYH3vHNfpDmHZPCYqdc+Np0Wsp52sZbwA/ONWiWr1p7kG4Yk8a5VbCWxf7iXgn+FHj5WiOGush/udmeNF3znhP6MitpY0cbyhkRSQg63se/x33LMcAeC6RU6sD4r6dq2uuPaqIY1+N5XnLGY896Jku7i6GsN9PHFS5EO6mlbXXz9LPnWfCFSYfh2/8T0RjfbhRF/wqObadEZE7CXTXywkgvt4RCS+zC0nYPUWEtQEOjwXsaJq/LC3v/M0M++0vSOg4zhOsuu6dY7jZJvZjWa2wHXdH1/w7yX2PxadNWb2+PmkgelmNtbM9r7dNw6/zMMyaQ4J8nkRrTJ1gARUF8wNvcXP2VWBmmkzScjPHeM3z3gpCFQI8uI4MqSj4vrghwE8aIlpHItq6flkDAFhBF3dogKwyvrcfE6EasfT8lPY5EGfut5I8RBgvS4iysaJvmSXAiJK5AVIEWH32d/0LWXR8ch2PFNTIIqpDpAWk0S19dogjkOlnFeZnGeKiKOKhzj/LgH0YmeRebdvohUqNIXj+4oAK8rMM/6KXPTtECk4KoM4ZgXiJoiK88HhBB2BURxz+nwKzQf6Od+eGt+JdDVzL2rruJ7511DYdhSRLpR/YJwIj1ZWuJJ9pClVODRdONQWF5FfjBFh+CV1HvTNvpoKWeF6Ahh3kGuQOVGc+SMcy3yRZsLtFwVVRQ6a8hMe9OWEedF3i0iI6R/AcVKEzc/tJV+obOE3Z8wnr50Vyr7GUzx7R5u4JgvHUbdXSsFIe3fbO13h58776PSZ2YOu64p63kPNdd0TjuM8bUNXXP3nn3/biCtlJg1OJqOaYRQ4E24npw54ikzEXzMKF/k+Dh5kfpfV2RQOnllk8NVb0GXlTWRwi/PJpL01tPzsK6dF59JE/jb80lz09e4vRd+6dmpFizvJQAZFjS2VVG6ah0B0sJ+/7e+n8HowhUxEZWLNE3VvVB6ZjSJDbc5Pff3fj5TQmlEn6p3dfAN9HTpPklaWdvK5F7rI9Cb1kPxVfbYsASb7BHx+5UWu01XXEFC/IYpVZgfxXDT3iYzHvYfRNzaN59FbS613UoQXff21BDUqKaHAkxYhqs6314q8PH7JAJWjdOxoAvvX1/Aqo1H41EwTpQmKz3IvcvLIHpt6KPgzYmlZOVrG9cyJ5HPt9XxfmFCWKreST+XO9qLPW0gaUCBkexCt5zf2cdM6j4o0GKLMRIuIgPrqISqgd/fSepyd67vO1wqfr9ffJD8X/t42WvhfhYuSNCrp6N0iu3pwLEGdKwrFDnt7n/vovNOrq8Vv8++5fn9/08y++b/5RsZ0CtxH19OScpmowXPocR6+6FARWhruu8njplI47DhCpheVTQKt2CiS1qWQmU/Po0APXzUJfQNPnELfolRqBS8J69KkI2SEY2fxoKkL075+CpvssWTUITRg2Yu7CBxShel9+UcoqA7/Vjhz307NvWUX93G6yL0xUyT5qynzNZUfC+NcJ/SI4qfThYPpwEn0/WcJQexXRZJL5d8Tn0qm3NspoppGE0x67shHX9vz/O6yy0l7/Q0i864IwX1cFLDMFvlxrricSsCrb5IuYipEtI4AwCeqCQAX5vAbwSI79Dq/DMf1u3iWlwtAmOmS7mZF80yVFRBgxwpLVX8P59UinMWn5oiixV6OZXcFBf8l6eQN40eJ66wyCvCifZxHV79wNA8QAHiA51FFIj1UzOvaRX2c24w7uH47XuAVV6v4RoBfEbCyHbToLBtHxXCFcD4/sY8AM6iW9D5H3PwEhvO5kCzhTlFJ4DTS3t32d28zay8Xd/0KxX9EZBV+nOBnfQeR9+JC379TsgRAEOn/T+3ku1SBuphltMDs+TUPwcQ2Cs2+bs6/u40M8wbhmFhy0IO+ymNkFjePojD8V+GL8cPZFHyDzbQE3HElhfApkSvj8G85j+IAqlWRL5CJBgbQP+MZl3O7O1ykBejxZdT5IvtrsPBO7XiGUXHHjnJvl4ortIAICrQkQWcxt01GnxNB5rjvK6y4HvhNrvu0e2hZOPEYhcP4xQSxKoxW+IDbZFXGII/AJOMNCrSiUp6hIpEDYuVYCqaAGJ6NjcJnLN9PCKn8O4OtnOv4GbT8dDdxH0dlkc+oFpxOK0p8Gb8b5OH+fK+A53G+0FAeEeUeJhUQ/JUK38e7xbmt2iJEBHVPm7qC9KMKeM52hVAX82jdQ0JLFVfHfeLHzdW+5yXGQ9Ak6yDWEPyp5I1haQJcbeNcU+ZTkfPuIyIqrRLWP/T8jdv73KLztlFXjuM8ZGZXm1md67qTz/fFm9lTZpZrZiVmduv5op1z7X8Kezpm9nXXdV/we98aM8v787verjXfRE/R7loSmrrnVPVrxk8j4T7tVx8nSdwZz0q8uLtvFTEyJZu/bfeKhD6iZV7BsXQcpxa8+yy15XwPmc/mdgoWoRTJNZiTQkaYsFCs+xt8YV0rgUlOOscXFkPmcOoUmfzxEK7f5F4K0rF5FMKlJb5MaeIyjmOwncJBuHxZxRkP+pRz90Af6SI8lkz/4BkK6jHimk6110WKhdtyCWIdYeU6fpLfDRROOp4wrnHuQgK2gBgKjcLXCGITU7hW8ZeJarSiVbwkSpwIa1CXX+SQf6ZkM7M2kWwxPZvKTW0Fx1YqogKbRSqC6YFcp/3C+V6JnJkuBX+fyMY7aRXH3F9HOhsQ6QkKTvCcqYilrkGe+RARmKEsP6qtvoIWxr464bgtIhLXn6KFcU6M75lXc4iIEcV+S6m0zBKWd+UbNflKL/pUCP8Lz3nQd0k8+WresfXDG3X1+88PX9TVh773dxl19Ucz+5mZ/emCvi+b2UbXdf/TcZwvn//7SzaUW2e267r9juOk2VD01cuuO+Q56jjOjWbCmeYtWlspkbcSGuW1HvS1u/xt2Uk+tzrB98rjZVEdvLJehGAne9F3to7oXNXrUpWw85L4vtMvUZtfG8RvfESYYg+c4T30dJFDRGU3bi/j2qncP2HHeV2UOJpnJlUUsNz7Bs3CEwIICqtVVeVgL/oeCeSapjSQ2TQP+r7v6EYyrlfCeDS+OJ7XAsrHIl3czZ84SZoKquU6FYTyuwHCuXvObF7btB/n+8KyeFb6RUTQzEu5jyrL7gwjuHCE8/WP15JWPpAuxizy0sRUeNG3bxNpZeGDPBunfkNA0O1XrT0rWfgFCcup/xWImVnGWI4tL5MsrehNWjBVRGFuH0HI2DSex6ZGzrVOOPZ2l/B90atHo++lH3IfowTEahVXa6tEJuz+DsquuDKuwfPCKqOSCKqr+EuiqLRcIiqz7/HzD7vmn/jNr3+fys0Xp/F8i1RS1uGSVlqOKZxAOpssMsTvbCRt54m3jbS/vr0t0HFdd6vjOLl+3deZ2dLz//+wmW02sy/9OUvy+RZmFxTsdRwnysw+Z0OJAJ++2AEGiigpVd13xmXiTrySGtTWbbR8jJ7iy6jmbyKzDBXfbG0loxmXTCblrb24nDk1DWSEExfzfn3qNjoorz9HoTTa4Zqo0Pywe1ejr/TTjETqEWbiiHxqbQ+/Rs0wWqipY8X4IkQRpwl1FCSJQrh8dSkZa8XTpJ/5c30Z2ul9HO8HgqkZv3KczDfPocAITaXgDzrFcewO5dqNF75BO8PJHKe3cS9uFn5qJiKdjh4k6Fr44g3om7yTx7S+m7TXsYFA9MNjKDQ2FPNa5dqlQrh0cg1mCyDmhI5CX2AA6cI/03mo8CvznhVOvPUEDSUCdM4MIYA70S+i4oT1fN71XvS1HRVnVNRm8giQ1NFAmgrafA59GYOi/Eg876RUSPyB/VSg4oN5ljPzvOhbLaLW9m4S9BhDWq4UdQRnXEJryAm/z077aQmeWdxN8CNuza3kAK+k5i4jLXYyxkO23Jle9EWeubji0H/TNlICQrYU13Wrzcxc1612HOe/T43jOPPM7CEbuma858/WHDP7hpl938zeNmnAhZmRPxM9y64K99VI5q4msq/fSIETQRqV5RM6zvkKJmXa9qRx2H3CSXRHGZnA5VNFQcdCdtW00wR+ajutDUtEocrmk9zKyEQeoACx4+c+uxV9oSEk/IXzecD3v0ipcUmoSFS4guBRJbMLX0DAlt7N9SsTUS2j47guR1v4vo6Dvmu6LJO/O17Oed36OfpYlP2eDFlZOEJE5MuSPpF8T+RzCW4mU1bNk8rfek9xzKoI53M3vYq+lVM4t4Ee/jY0QzjZnhJOtkEUpH8Qisededzvc2d4DhKO8VohNVuA+1hfWlZXkBOnUWA+d4LA9kaRr6r4KGnxSpFR+NkjfF/NVq5nlQhLHp3NvYiI5vn2jzAzM3taKGSf+hjpsX2zAO1ib50yUWC0nwB4wiLSwO5iPjdRpIBIm0laDjnBMfvnQDMz+0c/R/gTb3jwzJRUKpClh/hcTj4tP4EJ5NODRYLuRM22iiMXdy070t7d9q47I7uuu8fMJjmOk29mDzuO87qZTTCzMa7rflZYh9Q7fmPnfX1eS7kd7msBwrx/ro4HPKaRGo8yMNYP+mpBi5eQgZbs5vu93dSe8sPJzCOW0RCZmUlmfuh1IrN5orJ2wxGRcn6RqP9Vgi4rPEYmOuVBWkI2/ZRr176d850wWoyviu9ToGbmZAKMoj+QEUTHcr7q3n3NfgqS1RNFwclEX+bdcEw4ISaQwR39MRnylAdEccBttFKo8NsM4Qc1qVtcPTjUqjcWksGPcikclHO88qdIFhGurwkL1vWrCQgeXkvrQLx433hhbblXAIKexovzPfnWmwSjNxdT4Pj7snQPUgD3Ct+6yxNI2zWFpM9wkdlW5IWzauEbta2N56JVuLaUVFGBuuk6Knw9whod2UGgU/00gVP8WBGhuI+/nZBNkLClkuN78Al02Y/mk+91lHHtB8V1VlMzz9DKKQJ4bvU9k+2DBPv19eRRB0SAQ/NRbsaCj9C9tOjZY+gLF4U+s0aTr0ROFKakYW6usPy+n9pfC3RqHcdJO2/NSTMzcD/XdU85jtNhZpPNbI6ZzTqfQDDIzJIdx9nsuu7St/uQEjgdJ6l5TMy7OPNfq/DZeNivCGW+EHzxSWQgB2rI9HJiveh78wfC889ErSvBCPv6RGboUEqRrgLOv7GchzlQAAS3mUIkwCVT2SMYwV1p3J99ZRT+M0R249BswYCOU+OLiOTcTg9ybhOEsbChhM9lZPvST+pVnGvPaQqC9OW8Ktn1Lc4/M47vW9zPsR0K5HORoqJ7krimCygkYE1PFcnTRAbuCVMowLuayQrCKgi833iZdHurKE564CQF33FRFiG6QPj8CBrt3MO+20ViPVdEVI1Z6LtHJXtIn+M+KPx9fse1OyPork+4Vi4+R/BzqQCxCmAFBnEvcvu5TgPN5CuhwrcsQnhFJkwS7xPPnWn1oG+8yMB9wyf426uP8QytEXW85scQOIk0XlY5ILLJt5I/BvkV1T0qFOPJnL6NFhnd48O4xp2PbETf1CXcx9D7eR38/IeYIzfpDAHRil9xfCPtr29/LdBZY2b3mdl/nv/vS2ZmjuOMMrPy887IOWY23sxKXNfdb2a/PP9Mrpm9cjEgx8xMROpagPDbaarkIYjPIDhRYOKBHl+qT5xCYfPz3TSxP7iI12CqnW4WyecSaTX6hrj/D29j38JsfjdyEQVL+UM8pKrG1tnHyanHCKflSQkEKwe383796nxqbTtOc/1STvN96lrlZAOvBlSOE+MyW3E7wWjUMV9c3lRP4BgtIiZ2f4uAcHY+r/MCw0ljSWGids9e7kWV8NN6WAigjwZyzAXVXCe1nq+e5TeuEnXRVHbs0eL8qOrYU7Jo+SkVwKnWS+AQEUSBEyWqtauIpVtF/p5uv6sWFRXXX0peESF8qK5ZxnkVrSetdHZQWVJ7oZzKy4550BcslBsL4PsUsM3ooyAt3ycco6/gmVo22ou+1gPkK6//nHSROEhQfOM9quYd6eKSVVznsBM8a3WVnEd4mC/9fGgW+VGIKMK5+dcUNqrKuZJJgQmkgfLPvYa+RcJ0+ndRfeF9Hl7+tkDHcZwnbMjxONFxnAoz+5oNAZynzxf1LDOzW84/fomZfdlxnD4bipL8hOu6hOv/i3asgZrrojQK+rMd1NIyzpHZjJ5L5n16t6/A6fdy028ShR8LtnvQFxlGhvxh4VNzYj1/+80J1LQjplFQ170hGOsamrHHLOGhmpAtoqkeJSNMTidD2ltK5tAi/FEW3DYFffMfOY6+9mZRb2YpGVzhDu6tEnyqsGnuAOd22s//JiaQ74oPo+BTmWhV5urMe3ilUv0YmfTKsWTAm87SYfd784Rj71aCi1qRtVcVklwufINqBgi6Mj0EdhUiieAlK7hnwVOZCeR3P6cg/azwmWs8QbpIyBc+eLu435vXiRDhHF+l4lg5r9pmhlHxSMwlICp9g+fxVB+F7RXTuLej8rk/gy3kUTGlFK6viKr2H8rkb78tIqc+Ka4+E9JI38dfIeAIC+Jvk1KFL49wZp08XZzlZ0g/C+aTvtvPkk+5Ipx+9Epe135zg6/MuGUX1ynpHMXSwTDSzpxkzjVkrAd9Wx8hH0gQfKV5gGOpExY82o5H2jtp76h6+XC0c5NXYoCJcyjAG/apg8H3VTSKCtwBvg8GCNN5UjwZQ20jtVFPBJlUXTuFyKxb+L4Nz3rQFy8SbKn0/9lx4tqilYdvSzDHsjrQi77UsRTq4YuEY68oEKnycXSLUP8w4SsSH00h/N0+jvl2UV/obAj7rk4gwPAPJVY5VHpERti4SDLVhGwKQ+WkHiyKA6rrnfnzhWP0HgrmmFAy4O2DpO17V3D+h1/1oG/6VV70BU0fi76iH5ahr7uXa6Vy0OwsJjibFCWu/laiy4pfEZm653Htn9pBoOh/WhaEePFMYCCZRYvwbXlTnJ9p3QQD63j07L4B0k+8KOi4q477fc1dfO7gI1x3RRfH+0gXIl+erRJn5ZywEk7Io0K2p5hKkKozdyiYa7palIxRlvcuUZMvJpH8dsDvLlEV9Wzv47umzuc4nCCC013bRSFjEXXmf4VmZtYhSltMmMP1THh5y7Dmmun85aeGDQhEfPynw55H5+8e6HR+94MYYMd6hkv2i3Snr5SQ6amCeaccX+Y1TST2ChZh2QnpBCsFhTTXjh5Fa8vBYmoPgWIv5i+k4PvBIc7rw8JpWW2tZxyBk9KgVUG6RROE5iXCWQPEAQ+LFgkpRFOFD1Um0sAU+gudeZ6Mf8wSAQBP+HL5AZFkToHYRpdMKjecwjZ3Jdd4g6hDNSaMdBYmshEfEsVey4O5Jg/+gCUqyv5lB/pUdFafOD/eegp1VRrEE8czlXInQXHrq8zmHDWbQlg5Rg428htNRzlmzxiuX81R33mkTuW7Ws5R8L0i8mkpoVxRTytFZQBpZZW46m4rVgqaSIgqgH1ouChsm3ZxyQFri7ju2/o5j2tFSYnQGPLC08eo3AQHkA/481ozs1vuFBGZf+L6qUKxNywnf3x6o68Coa7u0kJ5Btp6+c0/hpEWPyocpSdcQWA/4OV3a0+Sb4VHcs9yD28YATrvYruYqyuVGfkWM/u6meWb2dzzPjjmOM4VNnStFWJmvWb2Bdd1N53/tzvM7J9sKPCpyszuvphrrZaXyBw7mqgVNHhJQJfGEGAUi1DduX5a5S8GKOT+Q1RMrz5ItS0qmFpMh5cHaNln2PfaT3gwHjnAyJfPjKfz56DwiCw8TdDlDlLwJ80TWYDX8n1nxfvGTyLAqjjrQV9Ophd9tae5zsr6ldPC34aWkzm293F8RVupzWVP9H3fqSNk0sqfYmIirz27Osl8j77IeS2ZRSFXd5Y0q0DXDA/peHkeGfWrglddNptCXUU1qbQIoQIpL7+b6+6E88rjxE+86DvqEPzUifwjl/RQMmenc7519dzbA3U8k9PjfNmMSkKqmio1c6CBtLJwFIXttAmiXtdaAta8sdzbPSLLeZLI17S2i3xwYSXP8uKPosvSI0S1+sPkjdHjeA5OiwSbVQ4VnsvF9d3gYb6vt5DnqiSYfE8BllMbRD4cv6Vf8gCBycN/JO2IKi22VFSsmPwh8vjix0h3QUH87hvd4nq9jXuWy8/+bdtI1JXMjHzczG40s1/7PdtgZte4rlvlOM5kM1tnZhmO4wSZ2Y/NbKLrug2O43zHzD5pQ2DpLdvDonbLYsEIVQru3gpSacZqCibzy7z7r/t5X1+004M+lW9HmbtVpfKkg+TwU6Ip5GcIS1JwMk9k3UECp7wxZKKHCkTl82ThoyJSgsaGk9mG5wsNRdTvCYwRGXoH2Lc5jPP4oMgs3dXK56KCRUh8nwhN96P6tHhaVjxZ3NumMjIzlbhwlEhcePL34grgGgrvfaJw4cFQzmHuAe7FpGhRykJo821CUeh3KICWiPpSLTu4Z3H35aJv7KVH0Zd8huucsJJnY6CG2nHlVgrSsfNI37EnSI/+zqOF5UJQi+zbycYzECkqTW8tJUhckUghP2Eu9boDojZXehDpIi6WgPUBsd+xMziPFlFjLEJkzL4kkOvedpYC8HAA+dTcAJHGIJt0NlEkAnT7SXvXjuH6qSAUFcbffdCXP9at8eKZOxdybwdEosqOan6gaz9/mzGDc9i5nXSRJizWlcEXB7xH2l/f/qrMyK7rnjIzc/yYo+u6hy7484SZhTmOE2pDjsmOmUU6jtNoZjEmU+axZQlEPU6ExzaIfA+tor5S/0kecP+so+miCtcZYeWZIKJhsnPJfA6dE068BQRcGct5CNoOE4S8+ibBX7aQaGmX8fBFF/KQVq0hE20OoDCIFdcWTjhJqKeXwuDYm3yfsppcG8xFfaGODCO9T1gbLqFgLt1L4FB9yleby1zA+W/eyDXODOJz6VdSsNQLx/C4WAHqxHXWgpm8Kog8wrXLHkM6U1e1SSKCR9VAG+fQUlNSKMqZCP+16H0sRtsoUjQon7nal7nfu5t4XpblcW937aTlY9Fy+pkUbvGlgeJgjk2FiF+SLBKTivwrO4IJgCeJ4rnebvKoKeNFlt1m4bAqrlInTOE+7njBg765wu/rK3uo8HxnFa29pesJaq4TCR1b6zm3virypLXCQh0jwGNmyNvmlTUzswFxzZeb5vX5+3ANrXBLRObu8qME3QnJPBcKwBWtJRCPFEB5TCzpXd0yDHv7vx519Q7aTWZ2yHWH4oAdx/m4mR0zs//H3lkG1nVdaXsdMVm6YgZLZmbGmO2gw5ymkLZJ2kyZ22k7U0wp7bThNMzkmOLEzMwkS5Yty2Lpilnn+yFnxvc+byaeNPHk62T/SbR97z377L14r/WuJjPLN7O73++L5yMj/zKnv92c5CvQjov74GHXkan2vUhDJ0e0Xy5u9v1c6AlaV5cuplA5sxJTdqSAiYTTrqWnVLGWiq9iveg1U0+BqZSSKq12YiikhonI16oVFHqzL6FwDOxFAXz0OTJ9kFhLjGgG+ZwxfHyXh+ubUMEf7BXB3zuzk78XFipAu27w3dOAwWPxmRGH2AJjhcjZ6LWMyjBpKOlHlfMOSaaHX3mCNDv4VkxZxwkaHJcajYG1hTQGHm31YO7uZDoPCYto6HQW8X3fXkbDpH8YlebRVtKyyksLEcbU6UJej20Jp5JLWOPBXLzHl1+iarnHi26mAtr/DNc7aAYjEt+OplJ+5w0apyonKziG73rmOBWfShZ/czkN22mZ5NtV23lleJkwLg6/SXmRGM99eaOQvzdNtB85sYt7kN4losICKqHPpXTwmo9wnxuFgbXbz7AZl80I/bpN5IswYYmfPc09GevhHseJ1jVlxfyuSrEYPUxcI346PtLxsRg6juMMNrNfmdncc38Hm9mXzGykmRWa2QNm9l0z+7n6/vnIyBtSrnFP+t3yJIjKnKp1VC4DImlgdLsUjlsDfRVpkMCziSsgMSbkYMrajnNL/7SEQnqY6Gk0QmCPpMbxHQJDKRxVn5bqlYwaHSthHsv827ifRa8IjJcmAZYmojK9OkUvssUUmFe8TuM0foaIzL0uEqib6EX3CqVwrK/ne7jP+SrhjHnb8JngcApfoX8t8zNU8i0bCzGXnEMl95LoT7Yojh7+iidJP3GiV1GrqMabM4re98IU0oUydtMe4fkMnMJ9aRZ4LnvaqazHRNBZSOonwBBpT1tHHZ9xqWgDkppGfnmj3DciePM45riteZqKb6Jo8lh7mItLmCoMcZf7tE0k+8YLA3hMhujrFUl6n5nN9akih3kCW+j0Jirc7KmUA93NfI+UTZRdSf3ofB3f5cFcnEMe7T+ddHHsTe5VaiaNJNUfMMEP+E8ld897cATm/nIvr1svcQXfHmVU6tbL6AD0beV7veOlk151gAbrFZj5mMenEZ3/2XAcJ8PMXjOz21zXfa88aoSZ2Xt/O47zovV0PP/AMebnWZjr2HEIc1WbScwFTfTIekeQcG8M9iXIuByBM3KMDLWmw4O522bTe1jwDteWt0BEZYTR8OQ7VIY3i+7BBdsp9J8NZjj1a1n03Hc/xe82u/xudjS99MzLSEKth6hsOiv5buXdVOA5u+kZbunkHmS74o69lc8QOti2Nvu+78yNVCxh0WT8EGHoPPZnGmGR3aJH0lzSxbCjFNyq0/3Cr4mquN8zjyNaVLk8dphrmbCHz50xkgbR2SPkn3WiN9XAQNJy7yE8xzaBYhuxcDDmfnk/6edLGVTqKUnkZYWR09fvCiH85ln4zKxJLHpoWE7iaWrgWUSf4jom3knDZKK4yjj5PBW/6ugespcGoWcOjezER3i2xZtp1MQmUsb9fj1/7/oQKutRmeQX7ymueXgKZY2qqnxlAxX9ZaLgQiGp94viMxorfI3RpjqeWdSTBPOb2E4ncOAj0zGX9wq/u+w1GphqDBRAp+WOsOw/HR/p+EgNHcdxPGa21My+67ru+XWtJWY2yHGcRNd1K81sjpkduZDfLPkdjZpeAsQp5YtMrAl+go9QJdfRfX0VxEsbqFivFDD3l1UK+PoQCnOFlXFyNSMN1aIz9K0zeB1xYhMNhMRECsJvhFNhtNRRWISKhpOBIgu/qoFrTi2nQlM9kq7+rAAe28j9UwmHIoBlu8JE00jRcLI6kJ+75mqvz9+HX6YRO/QOel6xv6RCGx3MuS4BnbpRdHT3irXF1ZAGXnqAyvAucZ114nkaOoNbRfNGcc9ZdIA05YmmMZXYyrX0HkYa2L2beVX903lV132WSvObC8kvxStJe691ejA31vi+Ey73Xd87X6Fc6BZOxuwvUPEve5Qic7HCchEJ1ao4wnVpTMaKBsKhQo+++QjPcagALD3ZTPoe2MTPLRJtSt7pphN0c4boHydKqQ8d5qJzRcuY+E7SbeERXnsNSOB3O5rIa6UVvnvadwjprvwAjb8hc/j760TLhr6J3PfBQtaGiGvz+D7kqSdFKsa1mPmYxyccZuYfHR+Io3M+MrKZlVsPMnKN9Vw/JZqZ18z2uq47z3GcH1jPlVT+eT8x13XdCsdxvmhmXzWzDjM7ZWZ3uK7LeJ/fqL12BhZYsMWDzwUKTyFCoOe+INBz7x3ja0z8ZBcF3GdcCoHENBoXT52lx3u9h8K8VwrXplBn+32ZDK96Z0U7FKINLoVyXqy4ChORgL219G6m9qfRpdodKO+upUUkWDaLHlNC4cQJhNFYoYQT8gSo2k6eZbPjK6h6i9yJ5N6MXqmO6YO/4sFcdw33uHELjYHDxxh9GDqMtFKaT2UY7SEN+OcmmJnFiCuU0bPpBdcdEeXQ4ppT9Z7bI2hF5d5sE5gki9tp7GZkezEXyb645go8E5Xk759A7N/7ykzj2awtpbGWJK5lJ13J33t4Oc9irqhqWt1Fnk8QkFOxAuFb8UWcqM76S4sHc1Pa+L7JLn9PdXU/fZi/94Lo2/aVVNKycrS6BOJxfYOo2LqLz+g6xfUVrPL93MuiR993r2EUsruOMmXvkgvLl6raLuA4KigvVou8siGin+FtJU9fXBydP9x18XB07nvwU8BA/3Fy+BwssM5Lr7fPtdy73U9TuQ4ZT8ZYv803dFot2hoMEUCDfUbTTqs+wbVFJ4pS5RIyX/okfm7P22SWOofCYvJIGiGdTdyTX5ym4h/dIbzUG6n8lz7DHJ1Ft1E4BCR4MFfwHxcGaNggOsJHhIhydWGcqe+eFMlLl/nlLJzdyu8przosnfv52y1UhsNFZGlYDA0d1ecpIVI8N4Lv3yTQnBMzeWZvizyga75J2jv9H/TSm1tIZztcRgfGB9Io7D2DiqSjQuCg7KFBMEggxf7gAKMDPx9KRdopKiHfyveNME7tRQ8/PEokkJ/xYK7ESE95QXxoSib3pKOVCq1MNAYucilDLn9wJObWfH4n5hoC+IwYkXhcKFDE5wswxEpR7ZU3lHJP3b6onlCFuxg5DA3m+pJzuX/tAs75deFYLojxpZ/YPMrV/VvpZCjE+ZGjeOW8ZQ+fGSOuJUd/QVRliH2//2EKwh+deuZTQ+cjHJ94Q+dI34VY4I5mKn/laY0awiS8pSKRbGKkrxJSiiVhjkDKfZeK5e+iMmeXS09unuvBXHwnz2K4wMrI/t1szD1/127MjQ31Yi5zOpneuw9TdkR48+q66PpIKo13Gqi8bhKtCJYup7BZEcL1fV1AyR8Qya4V4iJ2SJvAJ/AboydQmFUeo/dYISomsjN4PionQI2EHBoDv8in4XSbiCaqaOWjLVQinw3n+lqFAVPWwncbv1BUhW0jDSiPvKOdn9soctqmiRyQZIHbsHEX8zgqhEMyNYIGZWOzrxbO7+a7JomISV6qALIr9fBzWfxc3ALywA+exJR9xkgDqnWAGiohP160KWkTjkxGfy/mSkS1V3o/yq6bj/K5t3dRXijAyWPCIPrKZaSBN16ljF8wksZ4Qwl/MG6srx59dgXlzOjuC9t3hfqtgCqXhNAAntbC30sI4flsFtWn9xRf5IjO7z5/8Qydrz38yTN03gcZ+Tdmdpn1oB8XmNlnXNf1vh8ysuM4EWb2kpnlmVmXmS1xXfeCkpGfTL8FC6wXnsLtIut95WtklulDmHRZfNTj8/eDAjwszqgcPi88w9h+VECHN1EIRAvwvSjRKVclP/YS1xbhseLqqpzMFxnH527IpxKZmEUjMTKLjNt8RrTeKKbHc8tnuC/HnuBalLA51E6vd954nuNLO2jEVomeOfO6fIVcaScF9/RFPNu3l1FgDhB38/UtPLP+Y/h7AWHkd7ddVdRxjws3c0/yZtBAKNtBWs76xkDMHfwxk3EHf490Uf7QMcwpo6amjoZipriSih5Po6N6Lem7oY607IgyOIVGe7Te4/P30jDyyu8Xkxb3PCuaAudSzqjmtCqKq4aqCHr+NPd9cQKN8eYGru+ldhq7M9rIeyovL1kkdyvDbuAgRn6UrEkYLnh+HdeXlMjnKppqFFHM/l+kcXbqMd8z2tnKZ142ifJDXXseKKPsrhD4GSpKqFDOZaRYtLjxvLDmU0PnIxwXYuhMM7NGM3vyPENnrpmtdl2303GcX5mZua77bcdxRppZ+fnIyK7rpp8zdMa7rrvGcZwQM3vXzP7ddd3lH7TAnRlXYoFrAxhd+ZzoI6NKbs5soQD2R7ftbCOBnjxFo2nQaIbYg5LILG0CKfjl41TKd3xFoJqKFhjLBDBc7w4hzBwKfdVUb4JLBal6RAXG8rvPCtC7GxdxX0rXiRwQLwXQ8VB+7u6raEwERAqAMoHxolpA9L3Md68C4kUrARFOXi0QiieIZN+qQHEtMJTe6Pa9jN54AkgrvUSCqQRKm8JzDBmRg7k3fk+lPlI013yxjefzhWzy2bsneD1WIgDIr+5FuogRCNQ7RSLzlFvpCW9/ioovX4ABXpblu+aAIGEgRXKupogGcNIw7l1wHyrD1r00BoISSBeVOzgX4eF5q2uvdeW8hk4Rke040XBy0L2C9/5DYCQZDeqJApm+j0Bhf1A4PLkCBXmIQFXOHubFXPFBGjWbRSPbCD+xN7HXhbUCihBNhiOCyI+bhP5JEtH4oWGiGKSNjFHfSZqdVf7CxTV0fvu5i2fofOORT56hY2Z2Dhn5rfcMHb9/u8rMrnFd92a/ecd6WkKkvQcaeN6//dHMDrqu+/AHPXtV8vVY4KQvcM2NGyhYugVTKSHXUOErMDsFAnBxHZWhQvatF3fke0TZ0A0OmTsyikL0R/Vkqr9dKzBe4j2YK3iQIXWVx9IkkpZz4ryY21FHgd7H6KG0i6uMgSOp5E7up5F0tovKJVOAPPa7lnu6/zkKkbRkGmxny32FY0s3379YNBAcJgSyylm5RoTY22u5JytP0mBVDWXjk2jAhIomqW4X6VEZ7d3icyrxNqaLhvIuEYW6T5Smr95K4yfoAq/JVTuKhV8nXXSXU4FVreJexY70fW7hu4wi5c4SODBv82xbuwRmjsBvUkCVkTHk7/2nRZQwkXyr8GIOCKdlRBf5MTJURHtbqVxbu/luOUlezBVU0EgakMWIRtxi0kDt6+SNqjLKuP5/mIS5zlXrMPeDZTRYrvC7MooW/QeVI/fjTTyLYZ2UDQM6aegNEE5vSDad6mXilkE1gLim9CLn6Hxq6HygobPEzF5wXfdpv/lrzOyLruvO9pv3mNluM5vtui6R1cwXGfmnKYNGX+/xjX4or2qpwGKYN5xMFT6RzHf8EV/hqLaksJPMOEX0Agrl1bx11vMHiw6T4H8vckyuaiezpBsZbejV9Hi7qoUXvJo5RM0ia1BFViYLT65GXOn16UVP5kQDBVJSAM+xl7jSi07ge+wr4nsMTqWwVfDvZ4N9322GyBMJj6JwLCzjmQ0ZyNyjIlWddTt5u+gF8f7iWjJmIA0OhVL9yhIaoosvpQA+sYwKcuCvR2Du6Lf3Yq5dOAGNXaSB8AAq+hMBNFYWX0+F8+tXBWJ2Kq9SPYsYMSh/gQ5PRKzvWR4/TpoINNHaQqB597mHdPfHB0SEQ1xBxnfT4FAgjzEO904l5EeLq+6Ua0h71W+J6FIIaaqgkBWe9a5oVRNGo7ChjfSoksrVOLmHhlOLMDBahEM2bgb57+nNvrpgjDD+ht8/FHNNT6zFnGjrZbs2M5LmDeDashzKraxcyhpViZZ74O2La+j85s6LZ+h887H/vwwdx3G+b2ZjzGyxe94PnUNGftN6SssLzpsPMrMl1nOl9YcLWeAfs5ijM1TcOQ8bRYIPjBBXV7spREv9WkCohLGkNHra9VUU3BkzuDZVevhqHb2HGJGDqJrb1Z4l9ylj4JBoRzGkL4Ver6kUjk8/zXe7sjfXUnGa+9kohF6Ch8LxSw184b9EXBi0U9JA/t5TewQ4nsAG8R+FxncdJZoPbmykIpidxNyJsGgqqupiRhHym2j8hQsY+l1h3JO7RU8n7z5+N0DkKLU38/c21pBWrhBtQFa8QyG/8ApGVopXXVijQtXYVaGXx3gEQGIGeW2vgBPwhyzoJQwJFZ3dFcLo58196TyVFfD6ZG8Hz3aQw2iTf589M7OYeMHLp2mcqfdQuX+nm+mkhRlpJUxc3bS5PJ8+mTxvz0iRpF4jMH22c1/6Xs217HiOPDl8DGm+5BD33h8aYplIE5ibRQDK4AiBOVVBGqiuIS/Xdoqmsyncp+SbVJSLDZ7Tt6z+1ND5CMeHBgx0HOd260lSnuVn5Chk5PfGQ2aWf6FGjplZgchZGC68L4Xi2tIuPE3hGU2+y29CmPHr/iqMmnAq251v0TvZJjpyXysQPb31fMZvinilcH0HPbl1ohJtUgQjK7WlfLeoOhoDt35e5MAco9CL7xB4FGdJx0mjKPTeuvFSfnf3Lsy9IqoRLw3gc2cFeTGXOpQGqj+ocv84vpcr7twvraKSixzDfW8/TiMptIpKaUg4BaGCiJ/ZIVqeCOO5ppZGZ1UHz7E4mGy/SOTeFKwlT00Q2CjFq0RZfyO/e1KAaaaIfZ4xjAZ1F8nH1uym0lgdTv6+rd137pDg75QOKrmZDqNNOw4yinTJA0zu3va145hLSCDNqmTX7mbu3eD4D4QcMzMdqWkRPcZG5dFALz0lGpGKiPKLoslu1Aqu5ZZbaLAVbSKthLzJfQ4W+YXBKZSjh/YIOvNr2jtGFAyoBHJPKNfb2iyiLaPI3zu2c0+OldExChFGzbaTNM4XY+ZjHgIg9p9pfKiIjuM4883sd2Y2/RzS8Xuf85jZOjP7qeu6r/j9xs/NbKCZXeu6qo+xHnuzL8cCc+dS0T8nSpWvFN5XyQkP5rIGeX3+PraPyiY0SKB4iZE33ou5ikM0YNJmi2oLkdir7oNVCakq8U3tRwHyxBF6N9miE/iFhl3VUI0kc42/1ynW3OpSGfZJvzAhn3A5z+3kkzR0cq73FXLvPk6hNzSR12BtrapTO+eSBZ6NUiLpeaJVhsipafJSwMekcD+/Ia4e7hbV9eXdNH7G9WH0pr2ZZ6FK5+PSqcAVTlRVE5XmU6JH2zjhHfsnmJqZXXEzn3vkWX4Oikn8VkgejcQO0dpB4a+0iiyLNnEdrHKUpt9G/l76NPcprpvyZ/zl5MenRSn17Z+lEbfqb5Q/I0TLhvhJpO/mw6S940dpsBUEipLrOEaUSyvJGyN/Sjm19Mf87qQc0m1UP993O7KKUaQ+wylTVJufdgHmFy6q9mISuSePl1AOjhXFCy2CVq4oe/biRnR+9ZmLF9H59uOfvKur90FG/q6ZhZrZe9Sy1XXdL74fMrL1lJsXm9lRM3svtvpn13Uf+aAFnp00EwuMyObnSnfSmGgSaLxnOilEZs7z9VL/tJYW9pUBNBpy5pHgnVgK+PIlAlBM3KXv/Rt/LzWRz10irr0uEaireffyPU7/jZ578lCBFSGMs711XPO0PIaA1VCRJIUDMmIxlVftdrrzLymvUiiwWdEfnCegymCf3sicr6tEvyV1v76ungbXjd9npK/0L/T6a2pFNDGQNPWFBXyvI0v4OVUynLiY9GPiOvjeZygbHriD7+u28Lqk6CX+nir9Pl1HJTdmApVXwU6ReyIMoq0C6+mLftGqXwvQzG/35jOVU9TSwfcfMo8GR9k2yh5VMq2Gah1QKBoNB4vI9uD+AoV9HvsFljxNo0HlPpbtIY+qary5HeK6X3Q+P1BJgygrhDz/ikAz/kwUjZPEyZiysvW+ejRSVLGpsUVEzwdFeDGXMZvnU7kJU7a8jnJguIjGBwvw0wlnX72oxkDTL26/aIZO5Hf//skzdP63x/6cy7DAzNEU3k/uYBh7gQCzU1gMHX6VFDn9yVCPFdLDuDaSykZVbPWKJ3FHZokS13R6FCdewZQ1iRyYTAFcF5lMhqw9SS9raSMZMk1EedSY3JvKP2ogvcAjy/lubarKI4Nh4V696QWpcWAD36NPLmlgf4FvQqkCljx9jMJc5VOo5OGgUAquzUKIVgaR3xeI7uVeYfwotlXr6/09Xqu8830aux6jkZ2ZQuNZtZnoF0FjvFVEugIE7o3KxwkJ4nnHxAkgvBY+Y7+XUa02vyquqWk873dF1VmcqDoLEMZFrehZFiwOaHi4F3Np4+hkdNXzuQd20jiNjyDtFTfTQEi5wJxDz1TyaNGront5X363pYZnsUzsqaeL+zJVyJCikzRsY6P4HqnjuAf+kBKp2aRP1VxUjeICyoEjxj2+RlQFFv2F75U6SjVz5oh9ae3/WUPHcZxMM3vSzFKsJ/76kOu6f/xHnvmRdy//qEekqH45spnCbKy4GlEIsAqa3b/kXPU06ivuMBuNRtO2Lnqo8Q38bmwhldKYuQKAMF7kYpTQWDl7luHZ5A4KJJUHdIuoTnt1Hw27OQlUwm1NJKG9b/F8MiPI4MkxopR6gVBU+0V38al9MTe4OR9zhXt5lmVBvmsO9lyYTDnTxKTOiGbuZ3EA6eLKexieLnuO77W5klU9s/sxZ+XYURocWUO8fMafCHsd4NKrzs4UDRPFVd2seVzznhXc497p/L2tpXy3WSP4bq01NBx2nmIUxuPSODsirsLuu8zXeG4+RN5bFCMqNPvTwGzNp2HSVEnHo6WJsudUvciBWcsFhwdzfcnR5B8FPhdZK6JrFR7MFZ4mLV9SwLOITeZZhPanQbTlRc5dN5m/V7CNawnpJfKKBORDRQO/G3aQzubhLt+19BlMY6jjjJhroBw41U0aiBX94/b+hg7a0Kv4Xh2l1AXNZ7nHNK8+5vHJytHpNLOvu66723GcXma2y3GcVa7rHv6wP/iBhs77ICP/zMyusB5rq8J6GnSedRwn3sxeNrOxZvaE67r3nPc7IWb2Z+u5Bus2s+/75/GosaeaQvmScWSgI9so+Hd0UvmPEki+KxxfxlgsAKY2qB5MLWSCsSFU3mERIrIirm1c0cU3PJZzh4Vgva4fFVBrHY83KYXrWy2SOhePoeA/vEP0JRL4ERNy6TErZj59muwcd5YKMjid+3ziz3zflDxMWVZf/t7Aib40sO4xep6TLxHJmmt4Zn370DgdcyUX8uLvKVgX9KVSWjSU0ZZycX0QJJI1G84KfH0xZnxF9LD6E42Vcd/lXNPSo5jbFUreCD7rwVygsCc7GsiPB4sYvcgIplLf7lBZf/1f6G137PE9y2AuzZ7aRcP+ujaeRXgm15t0Kc/7wK94NTQ0l3MqJyumr8DJChH5bGRRe7CBjsKPv0ZjqvQpRhuOb+N3lQswcBiNLtXEtfwA+XZ1IM9s/jG+r0rinD6Za14i8JpS/Np5LBWwCzNyL+zKfYhowbNKNIYeJSLqTy0RDZ6HkY5rykmzfKv/O8N13VIzKz33/w2O4xwxs3Qz+9CGzodFRo52Xbf+3P9/xcwGncvRiTSzkWY2xMyG+Bk6/2pmga7r/sBxnAAzi3Ndl1rCb2xOvRoLzM4hUalQpxqHg8j081J8FXN4LA2TlloaDTvP0EPtEmBnNULC53bQG1XlnWN+1Qdzxb/ci7ljtTQa6gR44cxsMriC0i855cFcQycV5IRv0kvd9Vsv5kbeTtH1xLMUhDcMovQOElVRSvC/+g4Nlt6dNCb8R3gg972ui0bD/SG8ynksg7+v9lMh224XEY6zwaSVG3Jp2AcE8xlnjnkwlzOea35H5B+ppE7P5VT+Na9yLb36iAqZPgJQKoIG2yt/5t5fdbUXc+tfYMTAK66MrvwMz8Mfpdh7ijJAAfL1Fu0eujoEanoxZU9aHCPH6pouvg8j0aoZ5u/28czmtlKGbBVG58xOGiZREdwnldNY2yEa3gbzu3kTvZjbvZ70PTCPxl54qtBBYg/aq/g5/4atZmYzPL7OV3CYQIueSbnVvJtRmfCh/NyyFzg3VOTyLOugTI4Xt/BRIppy7UUGDGz6OWFcPq4R9cNn7rJzOHnnxkOu6z6kPnuuEGq99dgTZKoLHB8Y0XFdd/25h50/d/4DI816Lq5d120ys42O41A7m91pZgPOfa7belCTP3D0G8aPFR0iAb0ssEZuF80QUwQEd3RfX0G9bg2FisoSGSEqc8J6iU7bImej6Bi9p7R0KqWN32ILiHiB7zF+MA2Y7g7ySvSNBMo6+u+nMZcu+hIpZf3YHykcr+pNgVG5gt8dKZRG5H1XY67k60sxF5POCMl1d/Kas/QV8oZ/svAscSUXWc89vq6dZ1ZdyjOLTSTdLa/k1cu8JD7X04/0s1MojEgByJeeyrW8LYyaS8U+tR8XkcM/c+/6TCIn1BwkDexeK8pyRfn/WNFA962Xyd/zJtDAWrWdfu++x/gecb18PWb/Jp9mZikJjHS+c4p7FyXydrKCeN6pt/K89/5RVKftEnAPouXH93/KCozXv0O+nS6gCCq6aNhlJHsxdyqfClzYG9ZvniiTX8qoychJjIqe3s0oe2Ys6XbXTjotsUE0sDJFywt/2RA+IwefMZFA31JLmm0Wfdd2hDIqtXARZe38t7xcWzINW9Wz7J95nDNqpGFz/nAcJ8rMXjGz+/4RI8fsH8PR+Tczu83M6sxs5gd81nPuf3/mOM4M62kEeo/rupT05ouM/MO4oXZNL18mV5VTtwcywz/vCgql1P30XMv8hM1YcfWy6STDkE0isblElEqqpM6hXyXDn36UTNU/UzSLEwZCe+OFlQI7LxzAXFAgvdlmUdJcJbp3p4iI4JpT3KvYLipIhWT81p3bMHc6mNEBl70l7coSUR47mAKt1u8RqmGkascxOYgGXIcoP916hkpuZgyjA6qhY6eX+znxVtLFwWf5XPV7C68SRudSKofYkRQFKgLRUiLaqghQQpWM65/0b2bWbzHnWp4lL5/eS3659HM0kspfF3lfY3zlwLZl5NGEICrv+QMYXRQAuHZ4H6/aVKRK3Kxab1H4cFI4QfWPb8bcqWABFdHO81HXsHtX0zDpmygKGkQTYO8+nlmlUV5E7PJgrv+3ueYHf+XF3DzRey0+i3SRKdqZ+J9HzT7SicKSulUY8a0ip+aaCu5J+0nSXVS0aA59GWXDbx4jP/4JMx/z+GTl6JjjOMHWY+Q847ruq//w730ELSC+a2Zhruv++Ly5O8xszHtXV47jJJhZpfX0xHrFcZyvmdlI13Vv/aBnFwyZx+7l9VRMaXlezD0uKqW+PF8A9e3yJbTgMBpIb4lGmjfdSQLtLKby9jIfVBorRyoo4BSCqWrZcEyAsS2OYZj4UCWfsUe0e+gvKjLzAqkM6kRoe5BAX44aws9tf43KKy2aAiNF3Gur0XBKdNGupHGWmutreCrk1AV5IpHyOJWDV0DkK8TaWtEqY+ZloqN5DK93ylfQ0FG5awGClwdE0siOSRI4TCL6d7hYXD+JIfMpRIPazqPMeaneK5pVCpTmSSJvrkIY3oPHk79X+lVkLlpA+qzeiSkJ+DYkh99VORaZY0nH29ZTyfVLoiEaLa5D/36INPq5mXTI9q0U+SO3kJkVTf29kTR1h2jE6snl+nZt5bv1SeG7iZt9W1HNiOUEAedR3UremHC3aBWxxZd3Q7KoL5xQ8uPJN7k4b6uoUhW3B1cIeAZVJXawkdHKEMG3FxtHp+mnN1+8qqsf/ffXcuf6ZP7dzGpc173vo3jmR1F19ayZLbUefJ33G9Vm1mw9iMlmZi+Z2Wcv5MdLquh97RBXN32OUNjclEFBcGIZw47+zJeSRSarEzHcNx+hkB4ezrXlfIGCe4XoIC0z/wQE+6lgUZYtysGTb6DwCXhJJAqXc33ZAjBwp0j+vOlKCsKnl9EovKyNzx2Qy+8qGPZtGxnGHjmIv1cqKs/6T6dnWH3AV3ip5pXKqGkQvXZSQ2iEJabQ8xw+CFO27U1R/RRHwyQqlkJ0wRWcy3+aNJU8gGtRbRKOhFDw3369F3MPvu7B3HxxJeVWk26PvsvzURADw4MFUJ/AcBrmoSINGUDjZJ75Ga0iT6+hjobZ2HGksfxd4so5jWfmPc79zIjkWfj34TIzK9jHZ4wU0NB1hzAladRtpYOirn7vOEt+VEZX+WER2Y0gH7Q0ck8VsGlxIPmv3qXcnymibqXPezHX6NdaxbubMvmouv4XjZaVg/L9eTS6a3dQbhWUkGYnily4shK+6//xMdnMbjWzA47j7D039z3XdZd92B/8UIaO4zh9Xdd9r5b3cusBAnzf4bque6755wwzW21ms+wCM6gHj6UHdXAvvZtLrqNxUrSEV1yK0fyRU5eLCoxLRFfpdoGIuruFFvu7f2bo9PZFQskvmI650n9dj7kjAjDwiLjmnbGecOMrqvlul4q+L6dOkUn7CWG77w1ee10hcDEKRbK4atI38VqeY/Zpzp04wmhDurgifGctr9HS/JqipgdQ6B92SDt5XRT6JR38XLbo+FyykUZig0P6OVMjrlVaaHTaGkaD4pNI26pktn8OaS/2rMBQWcLvXhZBIa+6oQeOH4u5da+w/H9Yq8g1iuF5nKrn+mb2pnJ1yaZW4e8EHeFn9rfTCEttJd0NvpzP3PrahRmsGeOFot5J+skQ+XEKd+us+O7Uy0XkS0CydLTTWEkazPUVbCff5o6ggfmOqNycLpoeO+Ka8yvi0Fbm8/fOdjGiE9ZC+ske43tuJcJRymkXuT0i0hlVQaO4q4ZyoKaK9KPaWJwp9mAud+CFIb9/rKP7gpsVfOzDdd2Npt3+Dz0+LDLyQjPrbz1R61PW06W85Nzni8ws2nrQkL3W09jzsOM42Wb2lJl5rOca6zOu6zKbzm+UTLwEC4zM5efObiUTeJIplFSPk5o6X4GRJaq6yoqpgEKCacV7RCJqcDiJaNVxMnKEILZZc5jGdOgdD+bUyEj3Yk6B7y3bxLVEirVMHEAD5sUCUZouEITVUJVy4cGiw7PoZPxUKI2EKe209hbN5Fo6a3z3wBHmfnutyIMSLRFU5dSAMCpIbwvpLluUpMYM5loeXkNBraTAjRlULE+XMLrWp00gsYq8NNX882gpow0qtyNAeOmv1HKvrhQ93yLjaFCrhP4lx2i03yCuk/c97EtTjd300lMFzlPe3Vxv/ZsnMBeWztMo20V5VNMgICVEHtSgqTRi122gwV4bSBqdmUh5ESLgLWrKaOg0tpJ/IkPJj3uEUTgpRhjPvQWg4UF+t0ZcD50J4loW38QzOvqcuK69zpdWfvYq3/XuBDrQrQL7SLVa2X+YEdGsWPJ88mgaRO+sJi+rcc3Frrr6yY0X7+rqJ899iozsP76WcwMW+KOJZOauRgrCfdspqFTn3U1nfQlXgWZOTGdC31qB/DmvHxMYzxZ4MBefxDC2yg1qqBZN8EJprASJuX1FfP+sCD43KZseVbGAv1cYPMeK6c2qDunPn6bCXZzAPY2bQGHTVUuBeWabaHeQx/VFLh6GuRd/7quYB4jqPGXsbi/keY/OJC0Gh/MslDJUbSauE/Sz+RA/N9DD9alk5Mp6ev2Rwpgs6uB+1glFeqWofvKe4Jl5+vAZWzaKPI44L+ZU0vvg+YyQ/Hm1KF9uI/PmhvrS/Il2RocUXkpCbyrWIA/3pHyfUNS1dIxUJK1EePgKGVp1eY+JphJe00B+vG48z0y1eInPJh+8u5+OzGDVJFMYSepKL0RcTVedYbSz950ezB3+K8+jzySemz9C+uh7KEPXPsB1jOpLebSxgAamgmLoNYw88OhyRp2vF85I1Vm+/zAVTv0YR9OPqGc/rhH50+f//+lefrHGPb0YJlVKLm04ldywEVRCDx4l4872Q1XOyPHiM6qx4oRoel51ZRQgeXMoQLqbadSEjMjBXPWDFI7JE+ihHVzO6MjkGWTcYxt4tVZTQmWoKtvSBI7MmCkCtXjBKMzd8MQezL0ojJ9Rr9Ko2R7CKEKiqPe/QnlfP6NgmefXnFRFaoIjeT4ZoozYM55CtGAJ2arftaS7z86igqx/mkop3hjhiOjFuZAogf/UKnJF+nsx138yz/vNhyj7tgljZb9IzryzkQbbsVB+Lkf0f1KRyD3LSN9fuUrg3AhkYH8nqG0P1xEqup7/XTTAbRYYSVNbeRbqWjI8iUQ7aCKf21VKZyR/owdzdQLlfGIweVQB96keY8rAnJxNpR6ZQd5wwmiIVe8j7SnHqEDkh+37D0zZeA/5T1Upxob7ypDjD/F89oYJ40KANx4VKQGRhUwdeKmU53hTG+fqKkWkr0XAeX86PtLxiTd0gsMoHN6q92DuznoaOoHkb6sSoHyxMb4MpPJJBk+kwbFsGwXhqHB6GIeXcyFDbqBSqn6ZN3mnmkQ+zgqGfyMFLPmBdTQQ3gijUPmOAEYr30uhV1FCT7j/NydhruXJ5Zg7WUABVxtCIaUAHW/OofIPDOV3S4UBrHIq9r/uuy/DBZjhtie4T2q4oplhhGi1vf7nNNirA4VB5NAQzRPn09ogoijC6Iqp4vpCc0Trkr+SfmYP47Vf2EDSwDjR5fvNneSNOy+h0gxMpsL5xcviiiuI77HpNQ/m+sST/47U+PJznOjrtbOCfDYziO8VLq5yEgcw0nB8v6D3AtJ2YgLf68Qm8nevSBpwCXl87pnD/O4j4qrp3nTKs4TLGYGoeI0GW5BAKi9eSn7MnEc+WLaEdJsg+l9NzyHt9RqmKjdpeHf5XeyOGkW6u+YkjZ+WRq7tc5lch4qy/1YAP5YcoDF5RuSa9Y73Yu6iD/eTk6PzcYwLydFBC4jz/u0bZvYbM0t0XbfqA1pAjDazJ8ws3MyWmdlX3Qu4N3sgk4iNizy8GtlSTUG1cCIV5DubGUXwP2LVbPHyZDLL+rO8ypiezs9FDxGRuk6++u9F+ekdsXzX9jYKH9XMcJcwBr4iKtFU9KKjid6NCuOOF1d6jbUU6EEhVKRtItqgQvSqCk5FYVRYvLyYgqXb74pHJagrhRaXQsXyajHpSXUoDhEdisND+AzV2y02T/TlEfBZYRk0nJoK+FyVp7a5nop5uEjAz53JaMOqt0m3x4QnPLqV5zOiP+lHJayG5ZBWSjfxIa+Iztr+UAmqDP+S6eSLv2/h2d42ljLlCdFQeLgoN85NFYjupR7MZcTzcGvraFy0ClyiAUNpwIRkcO8aDpMujhXR0IkLJe15Yuk8HCwn/SQG0Dg7FMD3uHwgo3+FhyjPFFp53xQ6ATE5H9ytvKOOMvlsoYC7ELAlrws05qmhPNu2DvJj/3v5XoV/pYwfUvjWxb26+uF1F+/q6mcvfiKvrp6wnh5VT54/ea7D6BwzOz8M0WpmP7RzLSD8fuev1gMCuNV6DJ35ZkbX32/cPIpMsGUrFe5V/0oCWvNjkSshMuE7/DyAxcKKP3uaTDCnP9emGoIePU0GDRboI9/+HbOsC37IULRKYMwRGDf9RfQqJIbPXbGHjJvZTSE1ezKvgVzV7JQ8b0dqRePHMCrSzIFezO3fSw8/O5H78noVFa7qYJ84yC+0vYVryxgrKmR2M+x8lUi8VoCJCkBv0Y08x9p3BGaQgDYIFNHuNau4T1PH8sxOFNL4m5pABakSigvXMAIzPoPGygSR6FZfxf1T7Q4eKaTh8OUEvkfGVfSYr1/C824N9FX0qot6l7hKnhNMQj64iQpd6F9LiuQ5bhFRo5ExfMapag/mxt0oCit2ejHXzUCxbV8mytVH8MzyxRVSvFDWC+bwGQdfotHVaTzv68JpmCw9TPkTJfglSJxbVBKNmk4/W/zEYZ5Zu3BulDPiLRVX+J2Uq79SkWiBwh/xKA3qmPgPNsw+9vEJAwz8qMeHagFxbvzezL5lZm+c91nZAsJxnFQzi3Zdd8u5v580syvtAgyd7VsZNRE5l7bsXyngYoQx0Sq0xli/hNINAgVZlUr+XQASXh1LhVEvmnCmxVHJ539/L+ZCQvgO0SLcra6VyprJpEnN9BbLBBUsGEkvo0vo4LV7qZQaA3hAaS4lcJ1olJohFLgq0zwrehNdpXCTiinkA4/5MrWKrOxaS6V0UICMBdDBt5xuCsLRuUKxPENF3fdGGtQnX+T6jrbyuwtuJ12cfpmGyZ9CacReKwAI44TW7JdORVVdwStD/6iZmVl+J9fScZwRmK9cRyN25QuMrgRsoHCeMZ7rC4jwVSSqIupZAVmxQIDlDRrAuY6dokVHLPd4bBhlVEMjCX6UyHsreI3nnTWCfPH8bgEfkUm+eFkYFzdMoYzrquczjr/gwdw0EcVU1WMKWbuLQULpuLWLCNae/dQP/hV0acmUebvLGL3qF87PrW+k/MhxyY/3dHCfBn+NdLb2d5iyzDa+K0/n0/GPjA+Lo3O5mZW4rrvPUVCXHOlmPqhdZ87Nvd/v/2cLiLt6jbW5Eb6ts7rFM7MDLswTHnAFGbJul6/AnCQ8VBVOHyxC8V0RXFvvJHptCntEQe5Xi6qZsjoqltNBNBqihYEQLLCpbu3LyFRrJTfvdBGVUkI3vZGJOVQ2T4hrvnldPAtHXBsm9OLZRifwu8+cpYG6OJ6KqbzaV+G2CtC66CC+V5tDQ+dGcaWpUK8jeguaTfRi7kcvcJ9+/m2ySsyjhKH67PM0/i4XjQUfmU6FFpQhPPIzXF9b2YV1TVeVXTP687kq1+rBVynmZwkQwdxZVBDN+dz75/f47t+ULn5vTzDpKbOGSi6ymjyfIK53/u6lofzVcXz/V7dT4QbvEBG3bgH8uJUG1iJxlayM/Z3hXPOkLTRE41O5VxscgWkURuN0z3ruwcC+5MeFOdyX1gaqpue9fN85wkqq9UvubW3nb80Yz2eq3mk33SPo6a+UA/lCNuS8U4i5pGDy4+ouOjfsSPjxDvcThKPzcYz/saHjOE6EmX3fzOb+T74m5t43VnZ+06+dGVe6PaDK/zV2GRkyTeR2qPCkI5Jx/17me3WRSxltQwUjRzv84KkaEq3qSq76X/UeTaHihFEgdYpeKyMi+K756z2YC+nHa5rnn6fhVC+MxBtEE8qES+i1nH6Dc4tDaOx9rpnv9rONFI6nBKZGVBHJZ4oxohE7ROTL+OGKKEWgvEdejJkFCXyXgCCurWI330GBA/7sC8KD/iWBH8taRemquAea/y2B3VLL7zZt5tmWFXB973aLK1zRuVmV+geIaN07O6lcpjg0bHMmkl+OiHYH6aIx7i1+V8zN1ZQBN5eQBsbfSn58QnRRHyQSe+9oEWCGIi8vUVw1XT6CjkfFcfJoQgLXp/rbbREy7/7pNIh2rmBUL28Rz3vknyl/PBkCITyMRsizotJycBs3IURE48eL6sNQkZeX2cfr8/djJ0ljrdvI3+OSBbbOZj6zMYCGeLSoAi0QeUaxAhKguYX67NPx0Y4PE9HJM7PeZvZeNCfDzHY7jjPOdV1yT884c+5z740MM7sgVLnyDgrqKNKoeSKERzaH1FexSgDh+QFWjZ7LiETpNgoQ1dl39ARuQdNZbrNSkK3FFIQlBWSC5AwKhoi0C7PIK9+m8Ok2CtEo8XPR2WT6Iy9wff3nk5lLN3EPHhdN7zrbKbxjOyhYw0TX61P1VMyB0aJkdKevok8M5XqzhnsxNwAzZsd2UjkMnET6OSwSHYcPEc0WH6YRMmAslXfRDu775IECo+NZ7ntkKumnqYpnERPHfbleKC81Du2nwdoskMRzRcn+tgDS45Bc8kbvGlGNVkel3ljh+24P1XGPLzHKitp1fNfLkzmnEuMTZtKqO/GqQNHuJE8d202aCgvimW1rpqE3RQD3/ctXaJy1rSetlAVy737xCAXBfcNpEJTl8xnZc7nm0fnk5dJA0l6qaAI8dByfG5LJPd3zqu/5TjPqhrRk8lSvNJ5F2GhGWAP3Y8qSRN5OWiaf0d0pnJFmAed9scf/9Rwd/+G67gEz+08pdg4JeYzruryQ/a/vlDqO0+A4zgQz22Y9Xc8fuJDnBYvAz+x+TIxoE927S9eRcUMFSjFyQIQFc0yUtPcVDRO9hTSIUu8jaN0736egmTKV1yAdx/leChl6+Rp6Sh3iim9OLy/m7pglqpoK+G5qX3IGsWxa9RIKFIl+gcGcSxEdhBuPUBkuFZ5hioicbRWgcvFBvsJW1f4V7qYSSUigkus7hGT/zHZ6fHfcSaOhRTSSHDKPka+NK3glN1VcgzQUU2E01otS8hIaXZNF2w6FjFxdSgOrupnn3SREy7ZwElBSF42aYcKwVQi4SSl8xp6zNLBm+DW/nLAGH5HItvmnRRLvFJG71ijwiw5QaaZk8f1r8rleVWyQN4O0l3qSa1ZVhpv+nTR1JohRDpUAfI9oD7NzL5V/snAWHOGRBoqE4gXT+YyKvaTbvdsZUx0nInh9cn15UqFqB3swZUe30sAcEEaZXBRIfpwWzvPZd4ZnmxfJM6tq+xRH5+MeH2jonN8CwnGcM2b2Y9d1H/1vPl9k51pAOI5zpZ1rAWFmX7L/Ki9fbheQiGxmNvkuzjVtIrNExFPYnBVNHt9tZoQo10/+9DtFhZnoUPiqkummRjJoy5s7MBfqUlioO+3h4wTybi6VtwnhfdVVNEL+tIRM2r+A350+hAJEtUroaqNQ3iEaPyaG01jp8yUKFreeAqNxs8AzERGnMX0YITlVyDvxt4N8vcDbkvi9qCxRsbdwDH//V8yVmRtF46ftoOhXJUaXl3TsCGNfRZKOBJK2B3dz3xWy6zunaDgOFeXl/T5HQ2frQ6KNQafworso0NM7uM9ZKV7MNdSJDtTiQnzqaBqAK9f6KvVQsZ9trSRuZdTs28hoUEIkz7aqiWehhj/mi5nZ9hCxTwdoJLmi4W9zu6icCuFZZAmFmzycn9u/ju87/dc5mDvxE3YYLXqV+zzm1+xu632IkbnVopP6QpFUfeAND+aGLPSlqTeXU17OG8zrwcFzvZjbv5Lv/6PLuN6Os9QPmaKqtFTgk40a934XIRdx/JNHdD7xLSCO9luIBaZOprf0msDyGBFEZi5sEyF/vx5Op/OpHJcGMUS62OHvN7bRq06KpfJOnk2BVL9DdAAWofgNIvQ+TVR7PdjIqMRdUTR+YjIp4CpPkCHVddH+cq4lM5jXTyrROipChIrFMwKCaNU8Vsnzvm8SPUOVPOtfmn36oAefiRBIufHZfK/qU9ynPY2kH5Xj9VQ3ve9vD+c7RPzoXzBXdONDmOsUYfH2DnrVqvqpWVTKjRT8c0rwzwzRj61grbpypeCP6sPnOmFcc1cNaaX5rEDjLeV5+GMzKVrsPZJRj07REHX1cRqEe0Vl5KWtpJ8aE7lmAuizJoBG1yzReqO1XOA/pVKet5bzPbadEBhgU0VUr0qUdM9kNGjbX/i+oxcKkMydXPPbInF7QDsNh3iRnhAk2mX4G8DPC2ylUGFgfuU20tjjT/DM+omGoFkxAthKjHdaKJNVBHNa2UsXFWum8ZtXXTRDIOo3r33a68p/VMyajgWGD2UuxtbnaIgkhtHTivFw7ky5b+QnQ9zf7hEKvTaITDtEeNAJcVSQnmwy7bP7BZ6EiFwsFP2QoqYzUpP/OJ8bGiLyM1rIzApr5FgXldfwcC/mMi6h0KvdxReJTObnyo5R+W9p92AuvpO/lyiSFYeJq6B9fkmsw+dQIO9fReEYLzz31BHcY3XFd3ADPdT0RApHdZ33XDWNursv45rz36BRXN3O6MDY2TSKG45T9rxYTmU4pZP0XS2AZKLENeLbIin225d6MXdmJabs8Q5GZ390raig3Cj6MPkBJO6to7JpE4ZeuPBy01wqJUfwSm039yRQRJIyIukEnWkS7QnyRLNOgYmlEr7zt/EKbuACGp1F7/LLeXdxrzb8gXugkodPBnMPpkeT9qIS+Ht1FYyIhYZRdvVKJ8+f2u/x+bv/lz34zOE/k/eKuqlDmgRdTOwlcjhreWZ1ohJrZAbPMTCYdJG+ZfXFNXS+ccXFM3R++8YnDzBQISM7jvMTM/u89XQhNzP7nuu6y87923fN7LNm1mVmX3Fdd6Xf771pZrn+KMvvN0ISRBO9t0nck+6m8dNdRebb8gKZHt8TFVxRAiJ7dBJD26qxYkyeUOj76Xl+9ntUrkt+SoUW3ofXYwcforAY+g2GbA//joImSADDHemgwaFG1jVcy7+8QIHxnSgKliN7PJgbeRPPtv0lVVoswsLbKagPvc1nBPnlZFXvZQRBrePICxTcp3byu3GJApo/gPs0IEX0ZRJXgbPK+XtuC2mqUTTmHDWGYfE/bKRHfr2oiosXlSTKqJnxXRohe35JZTBXRDkeepOK9BrR7DW5ivu8/knuaS+Hv5fsF1GdP5e/HxBDxfqguIKdlstrya1H6WRki6TtdS5lVIkw4m/6DR2ehr/z2maZcIwun8aruxZRQbh8GaMoLUKpRz3L51YE8buLbyQ/jo+mol/3F8q4pHoarL2Hkx7rTvO8HQHW2P8O38917GVrnTVBjMx9fgyjZmd2Uw62twkEcqFKB4jGuwECpqSjRVTXfDo+0nEhLSCmmVmjmT3pZ+g0uq77W7/PDjKz58xsnJmlmdk7ZtbPdXvis47jLDaza8xs2IUaOmuTr8UCu4TLPGoaLeU2Tkk8nJozvgqirokKMzqcSmmLCIne+F0P5o7/moymhlcA6ClgwSdF+PNe0Rum4hSZNDiY2mut+D2Rv2eLZ4s2GCsp9Dyil9DTYRSi09r5vgqRefBYGpSn93kwp+Daf3CS67vZLzBzIEQkkItSYGXY3kl9bn+LotDziIajG45R2M4YRmEbcTlRNdo3MifixAYaHHnjvZjbI0r4XRHKH7OQL3d0JZV1quhSrfJnVC8h1XoiqZOee1oYI0l5C0TF0lvk3Vi/KO5uAY44Vxg/W1YwittftBx4QeC7jGrlO0y4lN89vYa0p64bVXf55gDKwcsvoyOz/E2+7wlhIMQKJ+26QYwee4u5x6GRfN/mBj4k/QoalB0n6MxVHuYzDgp09VMh3IPRftdeewR/i5RO62OkMZU8PejLlKsd+7lPu9eSfiZ8jedY+hRld97BlZ9GdD7C8Y8gI6txhZk977pum5mddBznhPUYPVscx4kys69ZDxDgixe6wFGXU4g+vYKCesJQKo3iHYwipA/mnD/4XHwWPeiwXDJLrQixN7x8AHOHOuh5KaYaOFBcKVTwuV9MplBWeUUnXNFX5lYaOrclezBX+td8zO1awWjYrB/wuY/+mnt8VQslS4WgvpAA0Zx0O887OZpnVHLCg7l/HyB6hflV6B08Q4+8TAAXdohO2w+EKKOG3nxdOQX3yHiRtFzPZ3Q8R6Pm4WKu+e7hNJJeFY1npwsQxc5OPrfxKK3dE0aayo2lAt8hEGvHj6GhXHoQUzZK5HhljqbB3yX6FT0aREPsS42+NNU/lPSpaLtKNF0tqaZRc891/L3tz/C8q0WVnUKQjoykATc+lu9fW86zWPMG32OO6Pk3Xxjjary8hvQzUfR12i/AFcdlC+DVIF7xnNopjOdcgTPWJOhCRN97D/c1nAaLVw0QjpdqZ1N5hHu8/M+cOxZCfvzqHXRuih6iPAoMVkAlF3n8kycj/yPdy+9xHOc2M9tpZl93XbfWetCOt573mfMRkH9mZvebP/qfGOcjI/8iq7/dlOhrxMwWVS2b/uLB3ITLGR04vJQM2We4r6CuEx5LSAKFz6Vh9ESiZmdjbuhJCgZlcL28j0JlWjif0UtEl/LG8XPBu2k0dBSIqqaVZL6qGg/mho9hiOzVX9Brm+BQIKUJwVUkusRvC6EQmSBIZlcTv3vFYu7Bs69zT+cl+L5H73buU3wg9zhplOirU0Nh1tkkUK+FQD5Y68FcXCWjYe+EMxJyby6V1+Fd9CAXT+Xnms8I5OY0vm/DKRo/w0J5jgqAL1WUG1cX0pv/6nfJj0/9HFN2aAuV4aWLyVfzRPWU+bFziKiWzBDw/8Oy+A7BaXzX4iXkgcoAkS8lel2NSxVVlWFcn+oTVivK+lX/uL2baZylxYgCieHkswGies6Txc+FFTDKcbxI5KW9wvX1/Sx5+a2/8veG9+J5v9nG72a2+H5O5ftsaSDdXTGJvLKjnp+rFSQ2q4N74l3rxVxQCGlF9QHsz0d8Ov6BcUHJyOciOm+dd3WVbGZV1oNu/DMzS3Vd907Hcf5iZltc13363OcetZ4GngVm9jPXdS/z/60PGscHzscC4/tcWKnuboG7MNH/3sLMuht8mVklzu4V+Byq5LzCFdcgARQWLwiCvzuKjLzaS+V1o/Agy1aIfA+BDO2tJ9NXdXHN1UFUcnN68/7fW87f6xXH91V304EhnCsWURkFGhmmkFPvoJGgwuIhg3zPcvfD/K3c3vze7pNUGJMnMuxcfpDh6aQBNP7KD9O7TRlCBRQ2nzhMNU8wynPyFAXm3mAqwykOlU1MjDBMagSQZATp7EiDB3Nzb+H7nn6NUb2TjTRg9oaRbr80ikpoz2byd2QgaSA715evIvL4+2XbyI8q+TU0SiTETmZU8/TL3Cc1wkW3+lNlHsypHJDpN3OPW4/QEA0UbWkeEx3XU8R1TnwXJ0cOZKRGRZ7VKKzmXo2bTUfLEflCpzfSCUrOpSx8+ITvu31RXAerZrIFO8k/MQLJuFFAiJR0cG1DU0RvMwGTkHsr+Szyp89f1Oudhvsuu2ghnV5/WPLJu7pSw3Xd/3RDHMd52MzeOvfnGfPtR/YeAvJEMxt9DmMnyMySHMdZ67rujA96VvI40Y9BeEuu6DuVJ3pMdZby90LG9/P5e+NSCpBJyfS8Wpu5jpZ6bqnKYbi8mEyVtJDcd201jYt3n+W1wISBfMYrJxjNWJRCIZUoejM1NpCZXxNYK/3buZ9dAqF4tLi2WCIaKV4hymj7hPDdVNl4+1FMSVTqki2+wrt3thefUdGmzFChvHczL6amVeQwFFFhJA8QRs1c5uNUP0asnkYvnzFwOK+kBgqBfmQPjefECBo/x6opgK+8kr8XspxXV7XrBHp3Ly6mViRifkFUFYqesFYYTP67djr3YNc7voZtaSG/N0bALjxZS+dmbgUV35DJXFtSP57tiX2MDmTfSl5peEKgl7fQ2D/6IvczOZX0XltJJfxZUUoePIjGj/ctGiHfFZGae7tFOb0AwjsVzPXVr6Y8KwqmLhwmWkVkppAnP9flKzNXizYjKaJ6Tjk3KhqkRnowIzqd7aL8P5yG7bKHSQPX/vSC+DEwRgABAABJREFUHvvpuMDxYZt6prqu+57musrM3rtpf9PMnnUc53fWk4zc18y2n+ta/tdz382xnojOjAt6lijhbjhMoyY4goqvqMKDucREEuS7v/T1ChJFlMvTT+C7hPGZSV4yXvF+KsPcTDJVt0ACf30jjYvrvkMFVPU0j3KC8QfjJtFz3f4Sw8ThARQq8aI8duzlNCa3vSlwKwZ6MDepkB7Puk28644WWk7Bxg8UAHeqoqzDL9K16TQFraqyy4j3Yu7UWb6rAprrbufehfTmvj/zCz7j0hyupbCeNPXSUa5ldjuja3360DCJGkWaGl0jSthfoJHQ50rONe0VAJsiwz20nPvy7DEawJ+/l+edt50GQdUermX8nb70s/0xATgazfXeYXQKVFWl28BnviUqomYKJ8MVTXuTskjHeVNpNDRu8mJO5YJlT6fMC+pLPjvzFI3EWoEI/2UhGw4JTKhZfemk9W2lPC86I7BlIrkHCSNpZB5dQ+Mxb7AvfSe7NC6CBVJ7ZxvXFp9FGlNtRpTTq6LYpyvItwvvvegBDo7/6zk6ChnZzGY4jjPCeq6uiszsLjMz13UPOY7zopkdNrNOM7v7vYqrDztWijLIdNG7pKmbr6IQQV97xYO5/n6dz4MDBQaIMDimCtj8ZuFp9+pFIaoE5vHVFBaLRNXDi6L8dIBLBtomQA5LXua7je1/YR24w0tEFdeUUZgbUbQFc5WrqKgyvzUScwmvb8Pc2m3c+/kjuS+PHxDltuE0pvzRYxdeTsX/1FJ6rd1nGQkpCWZEIkfktlRX8Jpq9x7u55gACngngEJocCrfK6mSz0jv7cWc8lIPvyCMZwFcN0xcr777ogdz08bzPcJmMvNg+INsWDo1kXy7837ufb8cnltZCb3juMO+exUtOki3NglEYXFFrkAEO8up+BVYaa9MOkvddXxG1BiBE/aIaB8RINCsRR5Lw1HST/ApRk5TJ3MPagV+vWp4u1Z0cO9/0sO1dPIZZ0TT3iH96CyE3zoHc6F7iDrfUOYbjW51ud6kKDqkf6uhrvnhZzyYs1d5bRwRz7OtLCQ/esKoCzqPiTY6n46PdFxI1dWNYvp9W0C4rvtvZvZv/82/F5nZBeXnmJllORQEyvY8GEoGWhhBYRNRJ77tJ7uie5FpRwvjSo3GJoHtIQyd7i4Bm/8lKpvCRylEr5xBAyt/LQ2dOxdSGeYv5fpCYkX+TBwFa5OX79H0PI2apkoKrtgB4u5B3P+re/JQEWFrFiVbs1QEK0fkZBX4vtuW1zz4zMxoCp+UcfSMyw/QmFStRwZMpwIK2kqvMiSUe7Ihnwpt1jgqqoRLaMS+/jy/K9rC2VxROh9Ty3eLy6CCyMjneTeX8SGFv+X1b1SEwKwSin7MlR7Mvf1r8nx/0cutJt/X+fAvNzczWy7QxosOcD/ntfDMmhy+6/TJ5NGCbTSwikSvr5kiHykxnDyQGyMcPnHlrJyWNmHYhaZTWaemUIbWVHHN909n5OPldxkpvWIUHZRTIvoVnMlnnP3JBswliTVHj/Wl2yMvCDBIkRv1tXhGoKybtNhYSWe2uYk8kNKHe6fa6KxfxejaZfzYxzu6L6wp9P+v4x+purooI0UwmgqBDxpEJdd0jEqjS/Sq9AdBS43ghzpENceGkyTQDHH3q65PYuKFAdfEuZwrMGWbnqPnMTSXiuqvy7m+iR0Ujt3Chms6KJoojuC7bVjDZ+wQyaT3tVJ4d+ygZ5SYyL1KcClEC07TIOqdTmPimUMUooPafIVjdizPu76BwuzwJir+voMZ7i84SEPnnbXcp0V/6Ie5nV8lPIFC1FWGxPatXF+s6Mod18Xf83oZ5fGIRMyCo4x0xfXi51RidIi4Liio416lN/McX7ifz1gsWk+0l4leYX6s29VCxddfVLvNiKRRlzJKyJlyGg1qVHWQpobE8F0L93LvBn+TPL/9FzTGw0Q0OkwANSrcm99uYnL3977Nq6Gm3xZibv9KGnFDAugYqL2/5jI6ZIdFp/dOUVwR3USZFOOHrZMURAF3sISG7bh4Gqed+9kIMMLDvQuPpuFUdoJGUlI26adPL6GUPh0f6bgQwMALRkZ2HCfEzB40szFm1m1mX3Vdd+2579xoZt+znoDMWTO75b/reP7eqJzDFhBqBIsIxOp19CiGxTHcHZvnywiBUaIqYxcVQcpoES1oFr2VPCIBj/ml0oBT3YgjRI+oxEFk5oJtHsxl9vFi7kIrnSpEJVa7uF5uFAmwKvmxeDO9toIWvu/UsfS0lu6mATNeQLMf8VIAN/oBrXlFhGOI6LWjwBubmwUoWj9V+cJnPCveQRH7jUPoBa/dywTLDBH9HHKDUPzhoqP5IyLC2J/Gc73wZjP/fQbmVn9xH+YGJFIxl1RRGSgspaR4AYsgohfJvekYPV7ou8/DBJhfruhVlJBHQ6exlOetKmkyxpBWgjMFertQ1EUr+QwF9NkhgAWzp9K4WLOK1YLrRX7hFJE/E+fSSOojrgxVPkpDDfclPlusbz9pefYU8nzTaa5vlcDAiuvyfTfVx21SCo3kuAk0WL+xjNdPvxhOvti7lXv8VjjX+xkBvREoHIBBBUsvbtXVlxdcvKqr/1j+iay6esLM/mxmT/rN/94fGdl6jB9zXXeo4zhJZrbccZyx1tP9549mNsh13SrHcX5tZveY2U8+cIEe7kn5PmqNgDMklqwgMpVqpumvrZXxt0XgtiwsowK6p9CDuSduoeCKqCGznD1IQah6c6nw9BqRxDtQhPFDRAeMXOFVVmylkFrYl1GZNnEPEr+AD2ncSEHtbeF7qMRjFXE6JnpCHWr1YG6xKO337/OjevykjaLiU80/y9ppEJbtF1hAMyhYx3dT6IWHUrHs2U1Pe/5tpO0nnqfhOERUg3hXC0Vl4syqeD5xAlum7XkiZ44fwfOpOc29yk4j7SXemIW5N37P7y6cJ5qJvuPB3F1+13zHt5CXlb93cDejKKmiQW9JM/f9re2MVM3cxLMY9pM8zKWc2I25+lLS6HFR1h+2UzSjFT3g5rdQ9I+dQmfEEdHZ34jIz1cEMnviQL7vkS2MpAwXgJOPbqPxc00cz3t0MJ2Kk12+ztJEcS2rcmr2vurB3C/G87tv7aSDcukE6oJ6kVuYcx0J7cVX6Yyxx/un4x8ZHzUy8iAze/fc9yocx/FaT3Rnj/VkwkQ6jlNtZtFmduJCfrB4Bz18hW8Rk0yFFiyAwY69SqGUnuOrcELF9cmlIin46AEy7Y9Fh936dQxcVZ4RSZPJVHwHiyhsYwMpuFSD0ZZWGnU7NlJIDR/EZOSDYSSNiCN832ABkb7ycRp206Ko/KtFN+dZ13oxt+wVCr1/EdgYK0Qy8jFHNHv1q9ZR3az/7Qijgd/uzaqZjhM09OpEP6i/baXQu+c2hQdF4yJ2La/HTr9KxZ8monAdhYyiHCokDZQEif491TQIetWQ91SLjpMH+d0MkRgdlkz6advKq5GqQNLAydU82+dF6GzGRt99mSJaMWx8i4Ze72gau1Veyo+B6eTvsBIqr7g4Kv7tPyQdj76a73DwIOXgNGGY1BwTOXgqYjCaPK9K+De/w0jFfIfyRyGzqzFkDg3b4NF9MHfJ/eS1hHncA3cFI2cjE3z3WaUdqOan7SJpuUvA215zH/m7u0LAhWxntK54Ken9sv7ULRd9/F+vuvpvhkJG3mdmVziO87z14OmMNrNM13W3O47zJTM7YGZNZpZvZne/3w+fj4z8Xc9wWxyZ4/PvbQ1cdmy66Bo+WbzeJhoTwZG+gqCxWAj9OgqQyGB6BRkTuY631lDJzelHAbcyn8J8YBDX238h51reJJOWGRVfQwA/d/IYhXyucHHV1c26BuZshAqeiYol00fUUgD/dQkFxgSR9ySqv21AAL3t+g4Kpc5OX6Owz7U0dO56k0ou5jPjMDf4AMF7Kt/lPlVWUmG88Xeez9gY0RaiVRjnw7i+R/aJaz8vD2NoX3rG0YVUVMN/zRyipmeZfB6+kICGSSVHMPeGwGG6Lp5CPiiBZ3ZFMhVzeSmdha/35ee8Zb773FJAvp0wgd97ZRcN5wXZNC6iqKdt/H2cLPgJ86/ygylXxoiu5DUCO2y9iuLG0rCNiaLzpa7nCzdyP/vEejEX31uUq8dRrgRlibY0z5KWa96m8RMRKIyOMkZvwmPozIbE+9J8wXa+11oBxHrDV0TKwnO0iIKEIa4cyH6pNKj/w0t5OfawB3PXYubT8Y+MjxoZOcjMfmNmM83slJkFW0/OzjIzW2E9xkuhmT1gZmWu6wqwd9+xKvl6LDDMIXGfDCRBqk6+XfUUIiv2+Aq0RVP5vWMbyLQKUTjaoRCNFVGe8iYy/KQniDz29S9txNxVIqGvTwoFXHQWPa/DO0SZruixtfUIldIO4QV9bTj3SimqzcJjHieUS0uF6LlUy30+IdonjBtGJaRGuR9c/ZoO/tZkUcEVHETa+YFI7P1WOzeqj9jjtUdp2E5MpycbmUpXW6F+q+qfkWmMtrQ08nyiExhdUm0HVF5aUA6N0+KX+bm0STRYSzZyr0obmRcRJ8qXj3byc/UiH2OIXxuDtGSRQyWuQiMSue/7xDVig9h3NfLCBVCWGKkDaMRu3CMq7wRC+voXaOyGCBTxlAgaK33+g+Xbf//CdsxNCOBz89v53L4hfN+kdM5JOhOYOfkbPZjzdpKWx/the9XsII8qtad62YVFUp5vOisQ98X12ArRF22oKAZZHsZ3+HnRsxc1j6X+rnkXLaQT/eDFbVhq9hEjI7uu22lm/3Lev222nujNiHP/XnBu/kUz+86FPCs5nAzpSeDcyVJeNZTuJAOppDl/mPP2KgqGAbMoHFtO0eA6e5J38/UiF2XEOCo0KynC1L9Ppod/coNIUI4TfZgE5sfg8VS4oRNyMJdyjAJpYRt/b+dW7vvYaXy3ZoG5/vN9/O6iFp5PahQjNdNvJQ3kCzwXlehX0+KrXK8byOhaTQmvD7K/RGXzg/t5PkN+kYu52ofp3SV0U5GeKfFgLvAs92T8lV7M7XydtKc6SKsGnipxtKiOnnCaaIHQXUHFd6ZeGD8r+HtBQgm/JsBof5BF/gsq5ncrmnluCbG+EdD95TT2R2UyynV4D6+Nh48gbQeIRPPj22jYxyYxErtfXE3HCdDR9EAq/tJVPIvRAhNLYXaFZ3Nux2dYvn37bxnV+933izD3L1+jjFtxP+l27ynSQG4XDeDwfAHyF0R5O2aSqLw74/vcFdUipyaNTpEC/Yu/ms7IwqOUF79fS+NncKeA7RDy6JtT+Q6fjo92fKTIyI7jRFhPlKjJcZw5Ztbpuu5hx3HSzGyQ4ziJrutWmtkcM2NsW4z1XRTetw4l0/c+Q0u5tY2Eu82lkbDAz4tuEOiiJnB0wlJFuWOVWEctPc9t26nkp2bzGqR8FwXIvi6+Q3yDqEqpFe8hroMPbKfA7CuEyg7jc++4gUK5YQuF6CWzqCDC3qGQDxHRupgknvdLz4mwvSuM4ih6ZLkJvtGvPUcopBrFFV/db2msDL6ca2sRoIfdAmStTzp/b4/oqRYtDKKnl1FZ5xg/FxbB948TMAF/FoL6apGkvvNND+ZWh1OMdAlj5bMRfF+VH3VrHS0HbxnnoqLJa6p8t8XrKwfShNGwpIz8ODeOTkFdCXnqWCWjvTMfYDrp7q/sx5xqfhpJO9mCSgTsQj9+N0AkD5/YRBm6/RRl0tUDqMDP/pJG7OA2GnFlT/K743uTHo8V8uqmX38B0XCcn+svWpzUHqV89AfYXJBI2RMznvTUtZH0VPIkjZAXmskrm7tJ23ONUXsVyqg9wDPjiX3M4/96js7/BBnZzJLMbKXjON1mVmJmt5qZua571nGcfzWz9Y7jdFjPtdYdF7JA1cA+ZMoIzPU/TYTMXjeNxdwrP6Ml39Hqq4RU48stNVQsE4UgTBxL5o7z0uv/mYhmuC+RvMcM4nrTai+MDdR1xDuiHDNflLXHit46lwhU3C1PUmBOuJ4MvuMFIVgcsn2yqGoJS6DxsyBYdO8+RiMhrI0kXlbsu74uIX5UqfagRVyb20EB0UHdYFG5/Nzm1QJ9WUjCTsEFmR3ck+ECS6n4lAdzcd2Mjtx3O3+vehkNomhRTv9VkfPT0SRat4ioUVwmjdNAEXUtq6KRPUAoSO9JPsP/SqKpkzQxMZQGUqSIku7L53XEtDtpTHZu5JXPkAVUpDW7eeCH3hXNJcX195l9jI6oRr79FnCPD4qyadUCQQHheUTJ+beFzPyPFC/mooO5pyriNGSewMRazchM9AXg7o+O5LV+1xquY38l5UdxMPfkUtEUd3I7zyI7l3K/ycv9bBPJ0p+Oj3ZcUI7O/+bYlrYYC1ThP4VmvM9Lz0NBpPuDlqk8mwOiC/QNYxge2bKZhoRH/N7QK8gsX1xBY+D3vble1c9G4egs2cqwa1YnlZcC2lNdmmtLub4z9VRAqQJobUu7B3PXL6KiajnO94gYyOd2lFB4b9nKvVetEvaV+RqtmcFcb7+bBCDfExRIw8dRyQdG87s73qGhPGaaMBBqRH+cY4wYKDyktcd4tTbvEl5lHFvjwZySAme7SWfTRzMn69V9VECqlUVanhdzXkFTCjMmdgAVkxqnROJpa4fvuVWL3LreUbRO06eRVxqPUvbUV3Gfahr4XoNnUeG2iuu3rcdJx0rhLvIINOsccQ0kksXbVjMxet960ujREO7VDZNIAypqpEZSCulCtUcJDRagfALN2CvQu9P7en3+3nuQTmWIANJMiaEcUOpRybyh/cnLTTXcu8NVNGL7RtPxGHB82cXN0fn83IuXo/Pw2xc9R+cTb+iUTpmJBVafZcRAJZSOEolfylPYtsKXwVWp7YI8RhCWFoquuMLTrg8Uockufm5AEgVhfT2FaFQkhdnLTRRSd1/hxdymFyhU2kT+zAiRxHpSlMyOvZseSuWr/G6vdAqpDbuomOOMRuGRIAqMRemMdIUK984/8djMrKbZ1/tUAHUD51D4BITzKrRyk0hijeW7Ntdyn6KSLqyarEQAOvb/DD3ozlM0HB0BE9AhrnnVc1W37XJh/KQIrKIIgQe0s100NBSdyiMGk7+PvibAAVNpnITFUEE2V/vuvfKg327iu14neN4R0aaHT1AOJIkWL7PjqQxVbp0rvlt0ggpSaYsB87gnpZtIewcbBHZLhBdz6moxdSCNFYXmnDeG8kwB6w0exH3pFm0rvOWk+axb+R7PPuS75lmxlEfrRV+rq6/iek8t4zoUbIkCJt0cRlq5xRgVVsj5FxswsP6zcy6eofPoqk9eMrJCRj43f6/1gP51mtlS13W/9X7IyOdyd14yszwz6zKzJa7rXlAysiLuQy0UmLfNpudavZeedf67VHyVgb7bcIWI1KzaTmHWu5tCKi6MQj9NCIvYJEYkDpTxKmN4Bpk0KpPCPJmRcjv8MgVcdSCPvL8oy15XznvoUNFc8hGBqDsvjAZBwiAaWKPKKeCOFtNguyyLHmR7M9/jzaP0hGNFVdTsob4KLJBLs6pdVOgJI6m8N1eLfj4igfzwa4w0RNeSfvK7qeSv+CrP0W0hnVXu4J4EhVCIrq9kBEZF+rqFKp0wiGeh4B5Uk8wxRuOxWOCvJDdSkZ7q5udim8lDb5bzPHq3+yqm/WGUC6nC0FOI4c2iKeXnB9Mgqj7Nc1RtF145wbO4QfSDOimgIpK7SI/Bg3MwF3HgJOYGdPIsTjdSNiaFiPYe+3gWKWk0sForaSQMH0OeP7CTRoeCslCFJPVv0+G5dqrv32e28SyELWnPvEFjrVF8LlsUTCQLUMZxbeTbZFFRVyTgPT4dH+34UMjIjuPMNLMrzGyY67pt51CQzd4fGdnM7Leu6645Zwy96zjOAtd1RW9c31FcTwVxROTYjtnDV6kRYU117TU6yteS76gjdXeIfJIWE52rJ5FB166h8O07h0Ig+yUaHCqs29VBAX/NFUyGK3mHa54lytD9cSfMzPpn02s5/CKF/Iw8Pre2hIJFDVVhdCCU55hWxt9TlWw5Imm3OJi/59/d+EAlDUwV0VKGs+pDdeptPtMTQkPCI1CvJ4tckbd/Ty94fB8mWJ4Q5azD8qhY5g+gIu31uRmYK/vlZsypqyaV09bUxT0YISpkKg7xbEPEtWmDKBtvF/lXaR3k7+xI3z0NEdAOm0Tka1YSz2LrGToAIweL69sEXoOU7uY+BQs/uraAAu4IdaZNTiDvvfB7fnB/MJ2H7/SmY9h9knu8u4NO5ewMGhexC0h7v3qCMu7LQTSUh44jr6nrX5Uw21oiKpuSfc/jtS7qkAkdNBL7ieIA5fCNEaXkFZXiOks0Bq4+TXmuonAXe7j/15OR3wcZ+Utm9kvX7UFyc133vZOXyMiu6243szXn5tsdx9ltZgyRiNEirlXuyiSj1VVQiMTG0CBQyKYJ0b4Gxj2iRPy7gSLnoI+43oimAh6WSA8/cNREzKXsXou5AwfJaAO+yebv1Q8QyC06gcSrEg6X7mAkJHMzlU1UAIWDumYIDKOQ3/wkhU2bMB6zRXJv6lDu/S8PUqD/x1wKlsNLKVhCInzfrXcYf1/lKG0TuRNnQ/gOJZ0ezN2cTQH/V5EYfnMH30FB+G8s4HdjRN5BZF+e9/6V9CDzHliPuepq0ZxUhL+uT6QBc6ac3w3pzbnYWgr5yAk0PK8ZSCWk+hDdJ9qe1Df5Gg5jpnC9GaJtR9wVdFAu2UYjseANvldQIPkiXFTA9W+gAZw4nsbaZ/eIPRaOwtRYXl8OEVVs5SdFqb+4Qrn+twMwt/luvkfpQzRM5rs05FWeX1IvyouijTzbPldjyjav4edmxPry2tc+w880ruV+lhTwHPuLSs5yYdREhZFHe8Ux6hrSi3v8b6Ix8q8x8+n4R8aHTffuZ2ZTHcf5N+upu/6G67o77H2Qkc3sPy9WHMfxWE8X+j++34+fj4x8T68xtiDctx9MiEAOjQsls1ScJEEOWkCl5oT6Ks3PvkKjySvwPtJFKLVuNxVkQQUFd/wyAgGWFQhkUuFl/PAHVF7fGUglpyDdVfPTwcVk5twhIkKU78Hc/pcpuAaM5lkMyKQAVqHoI0X0PlXp3fwOPrfhoBdzJ4yfay3yFcpj7uDePfoc7fAxAmKglzAcB+TxXVXC6t29eeURlsOomeckDeVMLz8XmSiwlGg3yZYAYcmce/Ys13xvDBXES15681+6UiA8H6PiC00XAJGbSHsrCnge13VS4abPEsb4Ht99Cc4mn9VtoSisepVRs38XuR0/ELl13eJuJFqUW9fUcq5yG2kq5WY6PJ3PcH1HK3n9ohKtVe7N8SYq+sAfbMLckIE8xwGCDypKKH8zFvBz9TvEVaJozlqznp8bnUbZ5X9ltuFvfNeUAO6TSoBOFeCSr1TQAL6yF/XKX87yc19O5ZmNFXt30cf/9YjOf/O9WDObYGZjzexFx3FyzewxMxtoPW0hTpnZZrP/Avc4h5z8nJn9yXVd4mifG67rPmRmD5mZvZpyk+uvXtrrSBgqopO9kML7zEoqiLZ2323oHUviVoIrYjgF5uoXOTdadExvLaZyVcJHgVj9YDKVTVAyhVTdFl6FvXqE3kNyN/epQUSSJn+b7+bEiOf+nUouNIrvq/rjDBtEQVCVT2Nl8Ve5L3v/wN/zv5Y0M4vP8jXEikX/szuvpNHQuJsG3LYTFGZ1laTFg41c24FWCtuoQtLAzE5hOF5GZbPndSrhTaGiakZEYEKH0Fj5URg/57ZTIEaJ/LDqrTzvhDl835o1otXGQKHQismTaSP43cptNM6SL/P16Nc9xmjg1MvJoweWeDD3g0zSU1W5uI74HaEt2l56F3P9LuE7BPTi+oofV44CaUVdpaqS89zbueasEvLtiRWk5c35jAhecy3P5yev8z1ue5Hra3G5lrxEFo2cqqSsaRVekD9sRZyIiCYl0jDZI4AkHxQOyn0CD2pdFfnnBz+nrK17nLcRi0TvrE/HRzs+rKFzxsxedXtKtrafw81JOAcGqJCR3xsPmVm+67p/uNAHVYpmlRG9OdfRyhBwRwkt9HdbRf+aGF8hEhLO720Wd/PBb1MwqDv3/BoquelCkWZG8vde2M/1TtvixdzuNhohswV42rRwCmqVB9U7ns/41p8wZbe2k+nTM0UfnVMUjhFB9L67lGcorhtLf0cjbsydXF/HcXp8T2/33dOh7aSd1Eqehboumj2ZV1LB/fiuZx4jTX11KI061cG+I4B7svd1KofoUL5Hjuj1pVpA5D/JaFXOFCrSysM0nBaKaqKqKp7Z8y9y7vPDSI8Faz2Yy51GWn52PXkjSaDRZj/pSwOxAeS9wEwquYETGXE7vZvKVoGQNtyzD3M1RqO4XyQNBBVZWR1Gw/E7Io9s4gTSbWcV+Sz/cZ5tv3sYNesbShr1vsT9a9hOfvy5iMpETaIx3lVBGji7jqpJFXqEhpCvXmr3lbc5nTRWRswkr5x8lXz2TXEV2tRIHrhsBK80T/yUZ1vfIvIBF4hM+Is9PgFL+DjHhzV0XjezS8xsreM4/cwsxMyq3g8Z2czMcZyfWw/g4+f+Jw9K7uQJ1AlM5foaeh4nihkJUKB3Mem+DKQg3S9dzK36y98oHItCKQQ+302mKnyO79XZ5cGcapDZy0OGX5QqmiPGcc2R/bm+b71LIfW0AD78RTgZd9drFPKq4/rIgSJ59iiZPlCAF3aJSFdYoOh39jwFemQUlfpYv5bE2X1JE8fW0TgdImin8rCozuqksumfybOoOErFv6GTSu4qkd+jun53t3IuoYpnu1rkBsV0cd9PrObZBgs4ihgBIDd4GJVw6DEaZ6pnl+odtXIj1zK+/cKwdQZ/05fO3vgtjd+ox6iU3+2mIXVTLo2fQQKdNyVWJDI3k977CNqeNpHn3Uc0bFXXjduXkfdGTyLvbRMJum//mfs5ulXAMwSQllUUM3kQI5GHn6BcaRI0P1Lk25Vs5l79rUM0dvVDQlaQA04wo4tD28TnRKXp2wKtP2M31zG9L89x3wmRz/UAaWX8dzH16fgHxodFRn7MzB5zHOegmbWb2e2u67rnKq2AjOw4ToaZfd/MjprZbqcntPhn13Uf+aDnj8oQ2BOi2V61aAZZHsjrjXFX8ZVr/bwHTx6V41t/4jOzMWN25zCuV8HGR8bR+DlT6MHc1F5Umsoj37GbodO8YCq5rOFezN0fyT1R+Cvl68n0SqGtPUjPUIEcdgghr5IkFaBhdB7PY/0GKvAJIqrV269a5fgRGqyBDt81NIzPjB8jAOQOcu8620QewhheP83cKbCURPj8l2coML+VKqAIcvgei2dQ0X/9Ba7vR6L78u6TpLPyANJjP4GMrMbwIVTCCiBxUrYXc5XFVMKlzTQe27ed8Pl70SLKhY6z5MfBO/lbRwStKPr8XQ2NGnEUFhFJ42LrZkZ+VoTzy78YQo/snT3c92M7abC1iuMZ3ErnISqQRmyHuMZPHkKjZrt4jzEjWO214gDXF7iKNBAfSX65tZNOX02l77llJNJB2/0UeXSMaDK8aRtlysJe5NHwOO5Tjag+VSjNSq5c7PHPXnX1iQcM3JF+FRao8hO6W0ho31nHK4TLWsjhtX7YMuM9vA9/p4ECrm87n6mShyvKBT5FMhVwp+ie6wiFGxQq+kENFUbDVjJz8jiuuWoXP7dVtLxoFMIxRJDPpF7iOmshlcu6ZygIIkW/JqVIa4NELkuk6KUkhLJ/jk7hEdJJsUsPtX8ovX6V/9DnSp7Prhf4e80CnqBfPJWmJ1MI89OipLuJkYXskV7MNZbwvGMGYsqCBhDQsfMEcwzcdhp7baI3U6BQ1pG3zcDcoW/y2udoN6NBg0QlpEJI96+0zBRG05YiKuURsXQy0u5lk8vC3xCn5kQzDfY5nxeJx0t43iqp/K3DNAZUXsyu52gUj1zIZzy/ipG0+Uk0OneJ3mtxIoI3fAplZuNp0vf+0/y9vnFcX62oFEuMp+O21Mvfmxns9fm7RfQ8jIulsZ8krmqLRE6nAr4cLpDAc8Z4MVe004O55Ax+N33L6osKque9+ZKLZgh4nrm472b2/4Gh0/CVS7HAd0XCb7QoMVK4HQe3kDESIn2JfksbvYkcgbswUoSEg9OpvFe8wt9bcBuNtUNPYco2BJHhZztUuL2n0aPa8zbDs2Pv4+9Vv8JwfHgs97PVSwUZECSSUwdQ+Vfv5FxgMJWhQl8WECqWm02jRvXMKTtLWlkT5HtGCwLUXTqNhvhoCseIaEYCVMSxqZwCs1e28Ja9mLL9h6mU1oZTicxr5e8dDuZ7iCb01l+E7VsFtIO6uhozkJ7w8nxG9eZk0Ug6UEh+zI4WCbqiQi9pMHmoeBedisyxvork2CbyxY5A8kWEEI2pHeJsRQPYPiKaurOba5sicubOihYDsSE04HKncJ+qD9ApCI+m4VRcRD7rP9OLOUc4FO+uZFTvVAhp5Zb+vE4/eoAO1KDRItE6gs8t3S2aZIqrpcgYX55MuJ6x95a1BZgrP0pjOm0MeT5kVA7mdv2exoqKCmdl0ag7UURHa0b5SxfX0LmRHQg+ruF5bs0nz9BRyMiO47xgZv3PfcRjZl7XdUc4jhNsZo+Y2SjruRZ70nXdX5z7Toj1AA/OsJ7Up++7rvvKBy2w7vZZWGBHGYXN7r30yMpEK4eZaRTK/gBl7xyj93T5YgokJ4S/791EAacaOp7YQK+g7ywyi9tKY+CVTfS0x4d4MZc+kmu5fxdDsV8Vd8mH9lMBDZ9GgVRzhIo0KoHKP6gX96ChmEL5aCmZfoC4QlE4N6+d4r6M6KQyzOvv+3uBIhGqspBC9S8dVECXtoiIURDff9CdNHR+LsLnN4mGgQdFovlYD6MNp6o9mBszV2A4pZH2tjwhDDFxbZEkvOpgkSirjNjWBlE634d71V7NPd1/jMbe6HHk5QPbSbd5Wb68u6OYijpNtLEYejcV35mnyANpl2DKVr5GY6pPCM+2uZ17MvzznKtZzueWl5IePdEi2i2uiBXYYuZ07oFqHxErSrq7O/kMVQnbK57PiB7OZ2x/jTQaF8rvPi8SKm/1i67saPPgM6p57pXDaZgd280ryLRkGpjR2TQmd20lzU68le9Q/Ab5bGD+xe119c9u6HwoZGTXda9/7/8dx7nf7D+x3a81s9BzyMgRZnbYcZznXNctsp4cnQrXdfs5jhNgZpQEYgSmeTB391qeyfeiKERCGskEe4spCPvH+lrZC8aT4OsE1sO+IgrMMAHVHl9G4aNCp035VA7K87r2Mgq99iIyUNEOD+byuuh5tdXz3VTuTX0BBXBsXz63tZzP2CWSTvNEGf/kq7yY2/QajR/VymJKCH8vNoX73N7k+74RvWg07Rfl4F8UydiB0Tyz8noaScUvCAPY5TNUovnQegGieA2/G76KZ2aianHjEyJBWxgNe8WZJV1K5eq2UMgfe1m0XxHtLSYFM+q6ooLPnSZQZvdtF/wn+pb5+3KXzGIktnofabviRYG5JRKlt79CpRwlwBvjkxh1TRUG++FHKRrDQijLVDuK3P6MGKhcmULhpM3bQbmyrplrmXSKe5CcS+W/R/BQMLfURtTRGM9J9GLOvwu9mdmYBtJ3zo2+czEbSNuvilYhqngjNYnv5RkoGh4fJk/lJfEsuilCLGPWJwFH5397AR/vuKCrq3PIyG+d3+vq3LxjZqfN7BLXdfMdx7nRzG4ys6usp8Jqi5lNcF23xnGcYjMb4Louuf2/GQ9n3IIFXjeHgkrloyxpojVeJcDSbvO70w0ROTAqeThA1JKvOcyQfVkwDdjJ3VR88fHcmn0C22FAtBdzB0STvkyHBlZ2LpmvpEgAhYmQcEsH99gV3mLfwRSYCgyxpoX5BNEhVJqqtDggikK+fi89IzVqK3wVblAQz3tjCwV8pri2+FkQjYsfd9KYVqjSg2ZQeb+5nlGplE4+V3VfbhJ+y7SrvZhTrUF+304j5PY28kqlywjeYIETtcNL3pucRr7dXkKjpp/IhWoUfYPUNcDJUzy3Ftd3X4b2pXH1WDEjnf1EUZeC/1c9rCIYFLY/bOUzbhcdyBvqyBe511AZdjfQKN7wOt9fNRWeL2ARCrZ4MKf4W+UXqlw4FdXr7uRaikr53BhRvVraRicyVOAGhTm+vNErjLI7ayLl7/J1PJ/Fq4hZ0fyTn2EuOJsydPkzjAiOFHlfHR004C56ROf6ixjReeGTGdH578ZUMyt3Xfc9rJyXracHVqmZRZjZv5wzcjzn/v1njuPMMLMCM7vHdV1KHPNFRv5ar1F2WXiuz783HiUDxWZQqY/YT+UyYgyF7dadvgQ+414S3o8foWLp08XPLR7EaJB/92Qzsx3lVIY5KRTcOV4yZEIeDaIJVWTmmGEUKmuWClj7a7yYq9ogjAbRO+ykUJBDMkQVl4CH9Do0VtqF12bsTmAdYu8bu/h7Yy/nnsZm+hpdnfmkiQGrqEQGjqAB90NxZdo/XeArieud7mbSsWquqaJrwUmiynAXjZBq0cojJolz32ngeavqvuG3cu74Y1TMl/SjIm2tJ13Mmc29P76aRrG3m2cbUsLP5fam8RiW4Lv3x3bSCLs1neu4v4pOxiUZVMDbdopEZqNoW9TJ6OLJMjooE75Gnmp6hwyUf5DvoWRXxwGeRXMxdU3vkeSVsEk5mOs6ITpwj+iLubb1hzF3cAPfd+Ag0rdq9qoiwP75OGZmx/zQ1etauJ91a8grE1O4jpq7fo653fk874RArmP2JO77kc2MTnsiKGsu9vhnr7r6Rw2dG60H6fi9Mc56upOnWQ9y8gbHcd4xs3rr6W21yXXdrzmO8zUz+62dKz/3H+cjI9ffNc/t+fp/jXVvMGTdz+PF3KhpAgF2TC7meh/1JfCGt2lI3BFA61x5LGcFTkLWKMGgpVR8Jw6I/JSpFD7B/fj+nevEtYVIkpyxgJ/7whK+25/6cQ+ihZDv3Cuuws6INhgtF4bJkhVDbz42XZSuCoTnvjHcZ+8ecZWxy5cu9pzlfs6+ncJnyVOM1s0dx0Tu/F08xyUhwks/LTztXCbsipxgay0m7XlSaOzfL6qJpjOSL0H0hl4hepb9lc+deDPP8emXuFc3XyHy3CK5LxWdVEIhIrbeK0p0XBe5Iv51Cr3zuI6nihlJ+6wj7hnEWcQFcu9UPlJ8HPfz5QbSSukfaXSGuiK5ey6Ns8PifLrFFWldFw3W0bEkjK5Cznn38RnNG4owl3E13y2niPLs8UKGv27PERg0+eTTkFquJTnSd5+f66ZBnNRNujssYByuFvhkg1LoyPyhju/6i3G9MZdXQ4P1bIEHc5+Oj3Z8aEPnXDuHxdbTz+q9cZOZrXBdt8PMKhzH2WRmY8zsJTNrNrPXzn3uJTP77IU8Z+frNBxMBL6ShlLIn9pOAg/YQSKta/UNidafoKDNyPRirqtDwI97OVd+kB6FR1xl9BnOK4DgYawYaN97GnMVp2lIRNZQANfVcS03iL5RYQJYsP0kBXV9JwWmK8LYCgF2g6humzSUXu/BTfSsc8LpVaokyb+fpIK4Pt5XQfSJoHFVv4Hv2uFwnxzBQS+GcE/uS6DRHTuFv/fYqwI2/iwNiXtG0cAK9FC53nmW+36s1YO52m6u+dCbfO6Eq/h7e54VjRVFTo13Gw2T44JulXecLDqJx08R7VwKaGQ/dchXkd4xVlQZnsKU5d1F2VO7hHQRJnokxYp7rxVbaEzdEUnFn9CXzwhJE9fGolAhRiQjH6wV17BB/NzunbxGTI8in21qYzQ6pZMORXoLvxshoolf7EOj5vBarnm/wPYaJxDxm1p9afn7X6U8X/IHns+sYaSLyhOUlwr/asFqTNnO3/P9nwnj3n0vgTTw6fhoxz8S0ZltZkdd1z2fOk6b2SWO4zxtPVdXE8zsD+fABJdYT8XVajObZWaMa4qRFkNiCY8ikarqn5JWQaQhVIZ9+vgaGOq+WY2kH87G3Jp7DmJufp5goONc25nDFKy9U+jhq8SxQoFgOiaZHl9BNcPdweKe+8xKPiPzCg/mxvcn0zvRjCJE5+Zgrv47x7gW0XDx2V00Hu8WpZs7j/C5N4sISZDfNZLCOYoQaJCBRZxrLCYL3RlAmg0U+VwnX+fvff5eGhx77qchVnWU+QpJo8gX8dlUmpMDOBcxOw9zG3/LNbedpDHebwCjX6qPWUsrDROFO6VKySvLaExVviYaql5G5rjslO+V46vbaPxONIEO/jc+c2AnPfdBIxkl3baRtBghaFZBImw+QINo4Bkaji81cy03xwrQSJd7ojqVjxxGeVF6lPw4UVR4Roto4v7nSQPNLo2pgTm8Ek5PpUH9hb6iearAcPKv2mt6R9BssAdz7+4XLTCCSBdbxdXqhBmi2a2ojl0gjNPI5AvLLfxYx//1ZOTzkZHNrNzMfuy67qOO4zxhZltd1/3beZ+NMrPHzWyQ9cRdHndd9zfn/i3bzJ6ynnL0SjP7jOu6DE34jaP9FmKBr7fR2r8mksySKNoYbFrB6ECUX/Jag3th9t/M74kmc6vZn2LVdhF2Flceh7ZxbdkZtPb9kT/NNI7OU2spbG+bS4Ys28wrLlV+erZJNC8UXcmPFdOYmnAjDUxXJFMeWMo9VcmE7Z1cc0WHuB4SV2GdfgmRvW+joaOuaPqkUNDWeWlwFLZxnxJFY8GRN3EuII0e36u/4z4NCRbdnVv5/godfIAQ3jljqVhCBnEtyx/h76nk4eIW7sHwHNJexVnufbvIv0oRER0lumJyuaf+V1cv7OVVySDR72ysalYTwfM2gbF16inuSdZ1PJ+zr5NvVQRmtOhrpTBklJGojKlGLx3DtEncg3rhjlZXUP6olhKThUEU2YvPUCkAUoZczT09tYK04i+nxs+ljDr6LuVMahp5oLqCdHy0k3O9jYZe/4mUF8e28GyjwwUcRcHSi5qwW3v1jIuWpBP7ytpPHo7O//Z4VFRd9e6gMGsRKLNTryShnXqbHnPva3yV+pk3SHgXuk0xiST4mFk0YH74FL3RBS18yKBcMqlnNoWAUkDrQ2no3STQnBM8Ihzfi5+TuSIiF2FTrWipIPZvlIBDz7yCv3d2Kc9jv5fe7NT+DIFXF1Mox6b6Gl2q6ixMNAtMHUxl+9MDNCYVLH1UBGk2+/dzMVfyzeWYa2ikggwU1YN5d1LZFD5O5ZAxhu/xzkZ6n8dFU+UkEe1sFnQxpp17kJUpWiVUklbuET3Fiiv5biWBVNZzBzOn4mk/XKxsEQU4Esr3uirIi7mqJl43KvDKiBRe5RzfIZq9CgTuDqEGxsXxyt2/K7uZ2cbHyD/5opR8RMeFJcAOGEr586zAGYsQEYHBXZSFA8bxPaqOiz5ZYyh/ukWLiuIdNJR3dfjy80BXgP6JXnkBwnBUka8AEZnrFcf99EzkewX2z8Fc4f1FmBtS+NZFNQZqrpp+0QyBuNfW/X9XdfWxj/mZvHpQcO2tDvfu2FsUSoXdnItd75twlzyUxN0gsCNUs7ilRykE5r1LBfyzO5mLsfUv/L1DAjl26Bp6xvNvY5h42Jtk8PJWCsfUG2g4qbWoa4btoqfPnFy+7wGRSFjXRAUetY5eVRhtFZszgXuwZjn3NM4oMHOu8F3LtvsppLLF9Y5qwvnTmRTcAb34Xt4tNNZ2fHYT5vaEUPFfnUoekNergaSB9BE0dNZsoFEzVVRJRRwTV5COQAi/XSTAVglwvHwql/5dFEHRqUIJC0MnspvPVa0Spjq+EawSEyBziby2CYngetee5B4P78ezaDhOeXFSYGyluyIJXLRTaOeUdZVxfZ5A7tOVKfxyUx2NxMp67kvtGa55fgTlQMatpNvKl0SjVBHdnncp13d8ubhODiXtPWf83JV+hk3eUK530z7ywKzPiHyfreRv1Y8vzCP6L67n7yWEks+y5/McPx0f7biQpp4KGXmEmf3NzMLMrNPMvuy67vYPQEYebT3gg+FmtszMvupeQDhJQcTPu57KcNMLVOB5ExgxOCQa9S0v8VWQo89SSDd20L2NKBPYKMJ7UOObj/G7P8gTUOiixUJTDYVUgzBq9oioR6q4Qjn1dy/muo37eayERk20uNw9WcDw7HDRvfzBkxQ237iNd/gVj+Zj7i0BQ58kevB4wqk0D/tVtUwbzwiCgr4P7s3IT2cJvda/rvZgbrqgH5XbkXySyqZUNPAMFQmwCUFUrns3i4oyoVh2v0VFlRtNPsv+Zn/M1T25F3MB4jqio4Xi5pZrxRXcen6uNJD7F9NFBTHQ5Xm3+RlTo7NFSXsRaXv0QsqPsQU0gNevooya9RPOTX6E+XuvVdCYzDzOqIxXQDucFob3uD6skjpVSOMsUVSABYsoYdIIKusDa4RcOS2RQjAiu3lmHWUqgs53i8/ilevYI+SNPcG+ezUwh+868DTPdukTfK+eYmG/GZfr3XaEBvZ1M3kWbz9Fw3HKYK6F5tvHPD7N0XGmmVmj9Rgt7xk6b5vZ713XXe44zkIz+5brujMcx7nJzC53XfeG95CRzWyG67pFjuNsN7OvmtlW6zF0/uS6LuP0fqNqHkNqFSeohINCyECqMZyy7gv8yrrVZ4ISqERqD3IuKomGRGguPfyHl1Ox9BEh9ckj6QGcPujBXPYIL+aq8vn+6sqjVxIZt7GKxlS76MC9t4lCNFRgMkwZzPcQvTqtYB+FzWFR7ZTRSaNm0n3c57JnqNRCI32/e7hItA1IvLDrk61h3Kerwkk//o0lzcwKArneq0SjxrotFNT+WCFmZkdCqCBvGsWrnCMiF+y4WEvEBWJrFAtAzL6ClkeIPJOYgaJVhCidP3CMBltmDB2S/Hoqvgo/A1D1rVNdumNj6DwkDKBh+9IOKrm+4np9zKWkqdYicQ1fKzCDRHTpcD7p9plwfm5eG2l05iDmCLbW0cAMjRIwGEdpFKYk8CxUY+CFk/nck1t5Zm8JOI97x1CGnNzO7+7z6ymmnM88UeF6ZA/XqzCLUxNpnLe1cu8Uxo/qu9W6mX23Lvb1Ts0VF/Hq6o1P4NWV67rrzyEj+0yb2XtSP8bMzp43H3mu9DzczNrNrN5xnFQzi3Zdd4uZmeM4T5rZlWb2gYZOq5fKdWcrleviK0h8Z57h6505SsZIS/dVLgrPRnlAMaKrdLXwyKsOUMlNFKjFIQKhV1ViJaVRqHSJQJLCVVl9nFGUkkaBasqfs6uT6KFckkHB1SSMJCW8N5QxejMqnMpgWrioEvJQQbzzR3rHAaLTSHeV7/vO/hyVXOlrmLKUGK7jM2mMjmw4xj0uFcZAUidli2qdkCCMbHWNWFNKY0BdFWQFkC5mJtIjD4vmvmw7zuvBRaE8s9Sp5I2gVPqp+S9iyg518nMZRqVRUsfPDUqkdzwp23ctuwTAn2po+c5qfm5kPq8ylFGTHksefUFEIccGCtyoeDJzeLYwJlu5lu8LhfuSSyN2ukgE2iZQqselki5UrpXKR0l9QSWGk+a/JsDyn04R6MutAgVZ5NJdd6uvHD34ED5idcXck5Vh9LwuE7lmXlGA4PGQp+LnUfYc/RP5tv9dAkb7Ig9RmPdPNT5sjs59ZrbScZzfWo/RO+nc/PshI48xs/M14hkzozY4N85HRv7dsL52e46vwBlRTq/3+Eu0vYcMIZOW5HswF7fI1zM6KipujosE23HtFKqqnUB2Nj8XnsDPdYnUhIqT4q46jd8NFRUyDRuohBddRuFYuIKGSZhIZD5T4sHcuhAy/Wf7MIrQJlBxx8VwLenX04g98ogwCsO5vlGZoqJMdC/vM8FXUB98nAJpwBz+fukWGhxvnaAhIQrC7MYhIrIiPMiUdCo+lY+jWie8GcJ9+o2gvdpSGuMHyuilTxvOCExdAfmsUERR4s5SeRVtFD27cvi+a4tI84smk5ZXiPLdIaKhbPicAT5/D28+is8ExvOZZeL60tNb9JSr9PBzwskYdJTfzRhMWdZcLSoet5LPVOWhqvi798vc91ceJN2mdJPmo9Jp7AZ5uL6K1QLk0KEcPbiFcupnAt6irYmGTnA4f09BjfhXvA25m47ruj/RqPliDqO/zfX83K9FReF9TZTJhc/yvFMyef1W+Cjfa+gPMPXp+AfGhzV0vmQ9RswrjuNcZ2aPWg+uzvshI6tQ1fuGys5HRt6Uco17xE9/qfLvCZdQyXV6+dsxMRRAG/7qK0RaReO+SzKYEBqZIQwiUT6YJsDyCvfyc0UiUXpKHp/71nZ6AAsaqUjLTlEBNYhSmuRYMp+qakoVd9N3jeBzn9/N9TULCqgW12j3rKSwie7FNavkv0Bun+V4BHDdCd/f6+ym8nZCROPC4fS0r+qkQg9Kore47g1GQmZcQ7p47TV+7pqvMBrW/280Er/STr4oLqDh2CrKt0dmCyNxGw3g6C5xJZXL74bE8cBzc8l73n1cy4IwgaAsjA7Vr6l8H4kgqt6XviuKaPx2FfL3bxYQEHUFpMXxd5IWjz7lwdzQRTzvHW/RYJ1wt7gG2cG1NJfxc+kePqNtD6ZsZzCfO0c0/A2M4ty7qxiZmiau2P1hHMx0Y04F7/DKw3QCJhuNXeXwZF3jS7cnHyU9jepPmaccgIxFXO/Pd5P3es2l4dhxhLL7hXU0zufGX1h+08c6/skjOh+qqafjOHVm5jkHBOiYWZ3rutGO4/zFerB1njr3ucfMbIWZbTCzNa7rDjg3f6P15O7c9UHPVvX9CmF07kgKgsO7yCzD5jDs+uB634jRSYdewg9SSdz3l9I7+YxDxfeKgCC/wiWjNbRTiKbF0eNVZd5nqygstou2A1NEvx3/qzszjWB6Yg+Nn8GiicfSJ+l9Lric+3d2DYVImUBuDhEGkeoP0y0aEKb0Fdd8bb6fU0CDLQHc5KExFJghIvLVWM99Dw8nTZ2pJl00i0vDdnHgwxK5n2cqadiWOqQplZ8RIFyeokMiiTWJdKsAF3NHcK+WCPyawUZ+aRBdufeE8j1uyeV7VJziWmL8roJihpJOVq0QbWUEPlDv+YxcHHqTCnJbEOc+dwdpxW0kP/7+Fb5DtKDtS6NFKZYYNSKRWV35nG5mpEKhVA/9BuXAgd/ySianH2ngtQIaBKkd5O9JQ2k4leaTXxLSBHLzSb/ikgTuk7p+6hIOT0ICf18Zayp3K38b96n3QO6TctDil1zcPJbqRRcvRyd+6cXP0fmwhs4RM/uS67prHceZZWa/dl13tOM43zazAWZ2p/VcXe0wsxtc193vOM4OM7vXzLZZTzLyA67rLvugZ+/JugILrBRdbFNEHse73RT880PJfP7YN81eCtXIOCqqwFAyaEgSmSUonQzanu/F3ModFAKHQng+48Vd9TCRK1JTRaMhJYvC+wnR5+eOTAqacHHZuH0tFURuPI1JZYQorIyAGEYR9r5MSeARIFuJmTRqNuZz0WnmayS1CwGnjCtVlZIzSEUfMCURZv0VsJlZcz3ff0+jKBvvFmXJU0kDraXc98iBNCR+tYpXVyPb+N0oUTUzZgRzt+pKaOypZO6h43g9FpJO/l4lunKPEmXTnv5U4J31vuemkvmje4lcjHquY61Ikh3ZRjp+JZw8el84eU+hWReuF33hgkh7O9sp39JFp/u4YL5bfDzlpRqqzU2rQLhWY2OHB3OXRNFAb2wkzT8QKKJVxs/d25tyyj9ip9IJjjRwbfPu5TMP/IWGTlSY6KzeRFm7RbSsmNHG7yZ7+Iz+R5dfVGOgasHFM3QSln8Ck5HPR0Z2HOeMmf3YzD5vZn88l3TcaufyaczsL9aDjHzQ/gsZef+5f/uS/Vd5+XK7gERkM7PeEykctmymIIgT99UecXTpMygI3n7L1wPICybhPdRMQfvjW8lAp56lAMmYTUHz2B56t4sEgN6Jdiq5nwbQk72tMgtzVyRTAeWfoEKbLhKjT5ygNxJ1mgK9OpD7Piqb7xuSRcUX0ItKY70ovxw3iu/R0UABXCqA/waEM1rlD/jV0EIBqkDB+s2lIWWdZKF6poBYXArpotcQfvfgmzQG+oeIDvbCkw2I4u+VF9NIzE4lT01QiZ4u6XvkKF4tLtlPWh4ewL3KzSR9h/blmeW/TDm44Fek753fptJYX0k6q/cjlWtFDpmKkqpxZ18a8eu30Zj+dhwNuISreS3ZuplNto51kS9m9SPPLzKeoxoPizyym0Qk7Uw5z0Jty+BZPMcvb+R3fxTOz21ooPyZJfrA/fkaOlBrHyA91pyhgeHvQLQ3ky+yguhk/OUh7vu1iaTjXimkO4+XvzdEtH0JS+Zc89kLJL5Px4cen3hk5OY/fhELLH+M5XgtjYzCqKaRo0SGf1SEb3TguLD2YwXw3P5gKshLQkQFyig+U3nau/N5b35S5IosFtGWDScpRKeJ/J6y01SksXFk0reqKWhum0/h/fhKXt/NFVGzpAHcg6M7eLUYHsx9zujnxZwK9wYnkQYC02mwNW3yNZxCs+ihFq+jwkzMptCLGMiF/GyZB3Oj2yjMBoqrkfShnAtK4PreeJu0Ml30NlOJzIdF4rFHAAGqkmEFMRCXTvopPuHBXL8F/FzDQToehSfpVGQk02B9W9DorQJioGmlLw7TO4eo+PsH0nBMTOFcXTUN8USB7xJ9D/vg5X9jG+bUeZ89SB7tfTXpZ91TAj5CpD6qXnY7wkhT997CKOnqR2kkeIQsHDRaVB/uet96E5+RGiAAO/tQhlSdoSFS28zz9gew9K714jP1VTzHPS3UF+M9fK/QSNJssCjrV603Sk/xbHOnkAY8z625uBEdAePycY2ElZ/AiM7/9lBGTdIVVF6FT1GRXtWfnlu3KKv0B+DL6yLhBQoo8GkCRr20kcyYM43YCY1PsqGlAmibcQN/r2YFhZ7Kuzhw8MISHZf/lc/IEPWGCvFXQf3H5VKhVR4TDVYFHoVqPRE+mBG8lS/Rg1TQ+X0FwnF9h6+CDDtMIdXSzX06KqAJLvFw3781kO9fU0TBWlnLfVdKrkMkdS4UVVwbBdrr8GQKaiF/bcQ9PNvfPUxDfnAb5eFkkZcWF8s9CJ4wDHNnlhZibtBYrrnkAPelVPQVeU30BUvp8uWDcBGty5vHdwgIF1fYJTT+nhLR2ev/9A7miluYCxaaLzqfJ4m8pa1c88g88s/2Qj5jikD8Lfs7DZ2at2lcpAaR94q6yMv9BLyFMmAU0KUa68SVc4dAv5+cLIpQzvjyc8xInuPaN2nUzBH6QqEgNzfz95KySBeqtUxCguhJKNqv3IuZT8c/Mj7xEZ31KddigRFBVIZt4gohPUWUoZfSSKoL8PVSZ09hxGTHehoNiaG88jnbRi8rLZRSIHc6vcAn1gncDtFsMCqYoVMhA6xLaLTkVAHsdYbvNnMYFfjx/RcGFHaygkJEAbINXMQ9KFolMHjaKZRVA77IVArRA9sZcRo2wTcyFTqaHv7Bv4luzAE8W9XnaZQw/k4IQL4m8d2rs0l7T4kcqtnd3Pe8GdzPLW8zaqYKLCbPp3FRu48LVOIicS4Ntu4arsUVAISlm4TSGEhl0CFuaY4d4dmGBNBoPeoHODkni5HO+iqeT9oE8p6qOBoSK3rq1VDJtYuLIBWBSQmjvIgROC3La7gWdQmyJZDf/WoXeSUyknIlTfR67G4iL5fvFAnkonIzWeSWnQ4izyeIXKMuIeQmjeVZrtnpy8/Jolr0pTBRedjBd7juTq63ejkTisNjRQuIUzQI20Uic6Qokc87uPKiRj0q51y8iE7iqk9gROd9WkAMt54WEFFmVmRmN7uuW+84zs1m9s3zvj7MzEa5rrv3vN9708xy3/utD1ygwGIo6aTCSRHeQ3kFvRFHCJb4bl/GDYwj4w0fxDyRXYdpmIwdQsbLP0Rls+IdGhe3TaFx8eoWKuFhAu/C20mF4Yqq/vh2KpFOQXa79/LdVMJ38vVC2Sy5sN5MJ1ZQQUaEU4hmjqVSP76J1xtJHSKHRgx/cMU/PMrPDOmm4hN9H+0q0URSRW+aashqEQ6V8ruFNGo+O5LPqC7kM9xO8kqzSD6ZMZ7G1Lsr+dyxApfoyGnS8sknRcn5BArvmnzuac7fWba3+UqiNaou7BOSeZXq6Uf6eXaH73evELAQrQ0C16qRfDbYw6vp9JvpADQ/TMssrQ+N8/ZGgbguuoOXVjCyMDOKBtaZesq80CDSSv87qPyXP0Z+LHmN+9k3i4peJRTnBtBg6xbGyjQBVrmxgkbcoomUj9s2Uk7NnuErf8r3ke5+0p9r27uVz9z0EPln8n2Uye27mWuVEER5uW03UwyiW7nHeZj5dPwj48O2gNhhZt9wXXed4zh3mllv13V/6Pe9oWb2huu6uefNLTaza8xs2IUaOquSr8cCu4QCn/oVKvq27SS+7VvJGA+G+hLkd0R5qyqVrD0rMDtiaXA9VM5n3hbB6oOODgq9ABGef7uJntKdt1Fwlb5GYbuxTuTFCE973iU07Io2UhDGizC7ZzL3RbUxOFPswdygC4zyqFLQyEjuQep0TFnbKV8Pt/4Mf7+ujsqh35c8/K3tRZgrP0hFtayNhplq+dE7jMZacm+eY/VpnsUWkZOm2jjEix5RE2/k+eS/wj1eqqD5J9CwvWcr19JPNLX8XDq/+/YpGl3DRHKzP9S/mVleF2kgJ8OXdx+popNxYzANGAXhrxJbC6v5ro3CwJx3D+cqXqKSr64m/SispyUCPuI7lwsAxhe5TxOGct87WwRmjjC8J8Yx+renmsbeMA8NovY2EXkfSZ4/tVN0q2/lvqSHkW79wU7VObY1cR3r6ikbr7uc79CaL65lE7h3+9dwT+IiGF1bK6rT7il++tOIzkc4PmwLiP5mtv7c/68ys5Vm9kO/z9xoZs+994fjOFFm9jXrqdASwO96qHDvRCFYu4qorA5uE9EGEbi/utM3zBwvEtAKjtG4UOXG6fO53muXUPgoAyYxm0y7fTeNJJFHaLXvkCFfbaL3ECxQey8V11Qm8kKUURO3gMKh6i0acW0tNEQVtT8qkpsXJwgQwd4C50co14OvU7kOT/DdK1X2nJVE77vyBQq4oFDhkTcKiHix75dcR7pY/SLXUnOYCk21o1BGTYK4ovAEMdry4Ksi50ncg9y3iHS2TIAcfkF05U6KFr2eGkjMi+dT+f/iXdLZ90VD0MJXuQf+rQ1OhAhFFUzjL/5K8l79CkbDYuuoSNNEp+29f+Y5Dr+JtLL0JVH9I6quvplKDqrbJlpFRF8YGlxILD8XITrE1woMmil9uS97j9GgVNdyISMZIQna48Wcisar4d+FPSFP8EoK+WLsAfL81ldE8nAi9yQxi3MDhzLiGDGRNGVPezl3kcenLSD0OGhml5vZG2Z2rZmpZh3XW087iPfGz8zsfjP7wPbe57eA+E7MCLsyorfPv2/ZSsGaFUGvIDxQoGaKyEz/Vl8tFCFC210HKPUVzPuptyikPAl85aY6UdIcIrBhgjgX2iHuzcXV0DXRZDSFVqpwRcLDKKgrG+hR7X9Q5AEFcw9aRA7V8SChwEUvHDWKd9FLPWRcn0cYtv5oqqoz9p46GlwD20hP6REUogPG0dAL2EFDee+LfP8lAqPjV0NpeKveZmX5jBqlCiTjXiLyNV80SVVgi24b9+rSrwgx0sbnvvYQ12dkWwteRhqYLa5rA/JYcp7c+wB/zy85dc4Y8m3ZLirvU4+La6pptFjXnybd3ZJFwyQ9ni/rxFHJL4jhebc38bndovnp6dM09odcynPc8SaNkCqBGjljIN/jkUKuechxRnH7RXsxt19gQrX9B4k5wKEBHGE0Rt9xaYh88Rbf93XbKSu6qkXe5DWUjZVPYUoaBTveIm0rwyzxBOVFWTPp54KuOz4dFzw+rKFzp5n9yXGcH5nZm9bTvPM/h+M4482s2XXdg+f+HmFmfVzX/RcRHcI4vwXEkb4LXfMDeMtOpbGimg0mq6x/AejXcMCXqaL6UKhGJ/C3Vh0nw0+Kp3Gh8hr8E6DNzDbvI9OmC+CsWBEKyRYh9cBgcuSuOircBdMZIQvKokA6Jio1hgvQNhWejgumYAmsoiBIEu0o1Huk9qU3P0tgWZwu5nuUl/oKPlVaXO1SOKqqj7y7ea9f+gSNlYGz6C3W7CctflPs3am9HsxVtVMxzwilQksb5MWcSuLN681IzXaRpzXjStLyY/9Og2B8N/klrYv0M7Av6edIPp8RKZyWgt/yajprBp+x5oSvElro31PGzLY3UVENFFgzrUWklc/N5DVv8KgBmFOZ3B27TmAuKEREakRZe6to+XEsgJ+LWkV6HH0J5dTzovpH+AA2UeSUqL6CHc2UcbnN5NFTovXNgDDyiwJ1DG2iw+i2+xpEZ98WgIFe0QLj86SxIYNE/6sabsrICfxcyX7Kc3VmCpvqYo9PIzpiuK571Mzmmpk5jtPPzBb5feQGO+/ayswmmtlox3GKzj0zyXGcta7rzvgwz6+rIDPPuokC6ORrFCyvC2ZO9/NmPVUkvBYRgcnqpmecMAFTlpxJht/2FwqLe3t5MReVxGecOkqh/EQzDZjPC9CyGJGfEZTD3ytfwv3MEuF9Tx++x76NHswtDyep3ZfHfW6o5j6XnuG1in9jTjOz6uP0jNTwjy71G8AIzKhjXG+wgBgo+isNrvAofm7Ju8JoyKSBeVaAtqnqwdQoPlftneo5NWgk6eKVAwzKXpbH64jjv6SiyuxgBO/ZMK7lawK9O0g0alTJru0tFyaqfraGRtK/+uWvHXycRuxVV/KZjrgj3vMsfz+3lY5XQAHhI5QBN3ycqH7ix+ydCirmnA7y3vgo8kVsqkgKbuW+j3doKO/fS0N+xARh1IiquOjRAryxivKsuI18O3s8jcx1a8hDowXY6WuveHz+niQiZP1E/8GGdaJvHVWNJV3HdXjfYuSrWmD8qCvxvx6mw+yfB/Lp+MfGh20BkeS6boXjOAHWg3a81nXdx879W4CZnTazaa7rAiTD/7c+aNyfdQsWmCWubtKN1n5ObwqgklMezHX4JfqN+CYVf9nj9B53VFEiTcqg8v62qJj4obim8m9FYWbWWEuFofBXVKPTPqIVwwmRONk3kZ9TV1ypU2nomMgLqdtPIVpZxjWrhOJBX6YS2vwn7tXgPCrrjlYalNWVFKL+cPoqPyM2jcqh6DjpInewqECpoMcXFMI98VbRk00dcGG9zZ4TaMRDBBRBvOgJ9pII99/Ri8qgsYG0p/aquJ6/1y+V+1ImqiCjRSuPskae2bib+R5lK/hdRVMVXt/fS/JQofl/xsysxkQ4Q4xRojotSLSHUV7z0tN0vK6dSgPTEeXQJet5PqoYYs8ZGiutIjo5XlSxhUaJK8Mg8vyGY3yP3CA6SzljvJhbuY2KftEiAXewixt4pIQJv/55mAnhlKsKWfxIASOdJUE0dlcJVOX/EGCYRSv53VJxTZUZTZ4fmL/soibsls8QOAIf00heu/aTl4z8Pi0gohzHufvcR161nrYP741pZnZGGTkfZnx2Kr3egCgSUMtxMrhqVKg6N4cH+TLzzl978RnHKMyn9xN9Vk5TmP9J9EN67DAVVZ9C0bzSpaDJEI0+G2o8mEuezX168k2+fz8BoKZyfg6+xXdTV01JU0UFwutU6gOTqAyb13KvesfTMyoS6Lm13VRMg1IYrfFH0W4UAGBZV/J8cpeyt8Ou/fTuqsV142wBRra9lNGbRU30qutFW4NQIZYqA/ge/dP5/sMKSMv7W6kwhibwfJLni7yqkzTugzJJKwXPkR6bG7lXIyaJsvYXeN6PB3P/fr2YcsBZ7kuj6Tcy+vm3x2jA3dpFg0j1nDokrqaH9+U7xH51BuaufX0t5jq9wlE4wdDCgWYP5hIbGeXpCCAvHxAENE/0CTu8nvveJMA0J/elnH5DVM8F7xXGirAnU9/k2Y77GQ2i2n8joKy31dcATMwQ1+HCEI0LJe2MHEna7tpJ2bD2dRqdZ4Moaxdm8ZozzHNhIIqfjg8/PvGAgadGzWb3chHGXSTKVFUpqCeXXmBLhS9BqquxplZyY+4oKuUH9pMZ4wVw3/RAhjDLW2gMjBpDRou4ZQbmin60A3OhYWSgpDlUVIee5z4pBNPeMwRi61HST3gClcbq3dyXNAHk5SjUWnG1dPwIlcsqcV0yr1WUlrq+hpjKL6gqEnDzTQKPZKRopFlDAaeaIyqv/8US5pqpBO0JifS+FYDc7V/mWlo3F2FONdLsKKUnXH6YHulZgd0SLSq7dgSIKwrR5FF1gi7ZS+MsPlU0XBxMYypo9ECfv0/dn4/PpE+jgdB0jDxQW0oejejFd40dyrMtWEua6jOf79p+hjR7ZA/pPSyQfKb4R3WcVy1zWkV+WFkr37c4mJ+bKTqpN4r8GdVDbleHQBwX7UzOnPVgLiPNi7n9Z333aup0/tbSDTTCRoYzsu1JZqTmYAH5bIW44prLo5VR9jcaebZfP31xy8vLpl28iE7K+osf0fnEGzoHcy/FAjMmiqTTTRSi67rIQLNEL6qkfr6CYLco6VaecVkZhe/yYIEVkkIrPjyJQuq3B0QYW3iVqiIqykPhqEooSw9RKWUvFDF14Y2ULOOaoxOEoBYGZlQylYFqWXAihAbBeIE0HBXCPVDGmVfck2eke33+PlDMkHVzANeRIgyzhF6kxdJ6AYQokmmHfYsCrnEJo0aFRxiBCBFKTl3btHTxLBR6cJKoCKquIU8N/heu5fRDdDJqGgSgoehgP3gmo0ZbV1ORjBGNXYM8fN+2Usqzx076Gtk54uo7VFzBxrmkMU8YaaCwjed9iUhQbmFQTzbPVUCfKllcGTV7CugEtolrqpGiNYi3lkaN4qnsz/D6u+pVGhPryrmWJIF43DuWTl+iAPQLiOB5l+8hf/sbnruKRZ6RKKLYVyb4UciB+aN5kO21/FxVCemiVwxlWVsrefRidy//P2/oOI6TaWZPmlmK9aDHP+S67h8dx4kzsxfMLMd60JGvc1239tx3hpnZg2YWfe47Y13XbXUc50Yz+56ZuWZ21sxucV2XFsR5o3TKTCzwYD4VU1Ysr3OyvjkYc2d/z/LT/Epfxp3+S5at1j7MiInCAKmvJ+P5A1iZae+pupXKQZV8RojL/jaRyFEaRHq6TQABdnm5vsYSPjfx61MwV/xTNipsbeG+JOfwSuavJ2noXGmickggyv5NdGS+JsiLubc6KZQHtvkqegVAqfr0DLqSRl1XLT8XGC8igvspuNWVVJPwghOSaYQsLRPI1R2ki5nzGK1qPE6eP1bIq6sAUR6r4PoXjaLgP73Pg7nyNu6LwrXyiPy1/rcxAnHyOZ5H2nDSz+qtvrQS3U1Db1AOI2SRAhul5gjfv6SKDk+auF5WI2E4HQA1uhq5ljqBHRYZLxCpS2jAKKiI3GwaUytFhHFI9wcihJiZWd+x/D3Vo+LMHu5f9lRRnbWB79F7Po3RDa95fP4eM4Qy7/QxygU1VM82hYGWcImIiJ4iDZQf4DskDRb4ZK9dXFA9pWc/rpG68eI2LDW7MEMn1cxSXdfd7ThOLzPbZWZXmtkdZlbjuu4vHcf5jpnFuq77bcdxgsxst5nd6rruPsdx4s3Maz34cGfNbJDrulWO4/zaekrQf/LfPX9TyjVY4JAFXnzui6sFyJboOzV9LPNqNu7wVbj9Bf5Ds1Dequus8traRZllTRUFzeFOAd8uzmeB6L9y+kUyS3k9n1El8jhmCMDAwGjSYuVBKuZXmqkgwwRJ3ZDFfVcej2poWCUSmRNFMmGTl+9WUydKV6f7RvWUV7hGoE9PDqLBlZxLGvh1AZXDVaIkd9BU2vgHNwiE2TkCaK+YynrfEXrQ40UPKxM5G/mruMdJKTQajhbT6x09hoqkQlTAqUTmk9UezKlE88g8cfWXR4fHu5KGnT9d1NVTKeWO4DV0SDZpp7OSxpUjHAo1FFZPiHCCYgeQv4t3UDao/VwhELg/I/Icz27lWprbKOOeF2VHXxcFF+q6XyESN9SQ11JHkeffFtWxs4ScelekCvjDQMwdSKGsrqZVekJlJ43JlBDSwEGB0j1FVb1mcU+C4uhUxjz17qeGzkc4LgQZudTMSs/9f4PjOEfMLN16wABnnPvY381srZl923rKzve7rrvv3Heqzcwcxwm2HmMn0nGcauuJ9hBEwm+oyilHYND8RFRvmJg7uoOCesIAX0FwSOCMKBwPFWJXAHIJ6VTKKVlUkNnxXsx5C8lo7UcpCLc1k+GTjGtWRk1nC+kuIIJ0nzqPgvDOvfy9EFEeW7DFg7new6nA9+6ksn4lnGu5tJBKSIErpqfTONm12vd8h4+g4L6qjcKsuZbvv+IoExOv6BKYS6E8x/CtvFpVTRk7qniOEUNoSIQf5ecK11CgZw70Yq5AdKTuP4bv0b+bxlnJIXrkZ1v4e4UhFDdjRT8glQj/J9FU97MFVOBPnqWCvGuEr6Kr2UHa+eMh8s9VB8i3/e4icbesZ0Xmln00dpXTMvkuTFnLDhqOy1zSypUOZeMVMVSuXfU0iNo6eBaNoqnlAhElVKOlld/tFS+uacRzt4mzrRVYQqXHSWeDwihHc2/3pfmVfyNNzL2FdPfO0zTWToSKq/ShXsyl1nEd0bP5Xs2bSLOBiRcGi/Fxjn92HJ3/UY7OudLw9dYD3HjadV3Pef9W67purOM495nZaDNLMrNEM3vedd1fn/vMNWb2mJk1mVm+mc10XRdceD4y8jd6jRx9eUSuz793ibv+uHAyVdZ4Cqr6AhLuhrO+1wCXzqGgCQgnI2/xC5GamWWL++b4bIY/u0TEuqmKylCV+KYPJVN1CoRZNZYdp2KOFei5lUHcp2lRDEUrj1QB/G0vIdMvC6Vh8sBdZPruEkYl1FVQ0Ql6syqXJcTPE24UnlxMJOkpeYho0bGZV0iq4qakiIoqMpxEoBLIVQ+0tY2MOF07lp5rY7FINO/FZ6wUdHFJBoWyajiZfQn36oWVdALmJHBfVMl5uWioOnk4I4LKKlRNE4/7ten4whf4vbf+Qjk4NoF096pAzFYVcFckU4YcFtGwgSL3zzOcv9dSIAATjzP6p8r1M8dRONQeFUCkQ8grLaf4codF6sCgvjSwwrMpp+uPcU7l9CXPJU++8SJ5aP5w0vwTh3xpeUonZUV7N3kqI5GyW+XPNIl2NkXCUVBtMUJiuZ87Rf/FueXPX9Sox9lJFy+ik7b5ExjReW+c61X1ipndd65T+X/3m1PMbKz1tHt413GcXdZjIH3JzEaaWaGZPWBm3zWzn/v/wPnIyDVXTXfNfAWOwl0obRclwgFk8PJSegV1fjTf3UyGD4gUTUPFHuyopwIadUIkTQrPplTkMMQFUhm+vodKaWEOmUolOl59GQVSYKboV/U6oxynRdVDlqh6UBUdgwWQWUMzDZOql/ge6vfOCoVTE0BjdHwK36O20tej98dRMtNGTeURRgKSQxn5aanjOtJzKERfFBgqouefTQzxYi67g4rvsV2kiy//QCRYvrAbc7Ozue/FRcxjqOim4V2/lHOzk2nUqKEUs8CAk46Bgo/IjuR126Bevs8ofZbnPXOQyLWivWWfjWAE84WtlEexU0S10suioWUteb7ibX4uM4/8kyigHcKjeEV6YhMNhGbRuDhxFs/Cu130hLqUkaTDy0kr64u5B6PFFW6fdDpQR18SBQ2i79YxUY2WHuCrs6u7RGf1aPKjV/TwiounkaRQ8t3T4qq/mEZ8vPBIk0T/r4s9VKHAP9O4IEPn3LXTK2b2jOu6r56bLnccJ9V13dJzeTzvadAzZrbuvSRjx3GWmdkoM6s3M3Ndt+Dc/Itm9p0PevaGLVQGvQMoCU+KzsjH1oluzqLZ3owAXyHSJmR0YByZLPACo2HhUZTSMUKj9RlOQdPdxPX2F0is6mqoQEjqjjcp5FcIdNrbAvjdUfdScFW94sVcfQO/O+Ayvu+ktRRwB0souCZfQmOlfQs9sk0uhffCW/pibscvfCNixaLSq34zIwNjhzDCkeQR/c5E5+X9lfS+Q0Vz1mEi0TNtKJX3pl0ezPUV3dC9T+zF3K5Cvtu4AYxA5Ii+cH0iSfMqH8fTj3QbECUS3AXeTlcJ6cIVvdK2rSCtjJ0iaMXv51TfqFqRsJs8kgqtYi+V5k3z6TzUbqSzNNJEZK6TRkhfUZm0rkj0lxK915IaSY/9L6dcqdvFqPDvXmFk4bNppIsdb3HfM+NoOFwurnDbHe6BAvpUbSFUFdymMMqa6+N9aaBNoGrHZXGfqk6Sjg+UkW8zQ+kEqf5xqiK11xg+wwkgf386PtpxIYCBjpk9amZHXNf93Xn/9KaZ3W5mvzz33zfOza80s285jhNhPT2wppvZ782sxMwGOY6T6LpupZnNMbMjH/T8KSJ5uP40Pfy/1tEindlBZhnRTQZf2eVrEN0WTKu7chPX1i4qnQYFkmijM2jolB9l7kT9u1QinmQqL+XJDriVwiL0eQqfEHFtkSeuQSLjybgH/8J9CXCoqLL60vtc9TqVa6JxX3qL1gYqibOzi3vfLKohlv2S51EW7PvdSwUGiKqe62rjM0MU2Fku9z2ijO8aJkAe+4wTIIplPNvLRQQvuBdpJWwEBXVwAfdp01GeT7eIWA7ppVC0ub6KAzyzh1s9mBsv9nTufNGBXBg1AzJ5bq7AHAr283faqackzlFAhLi2EFVxZ9dRAas8wjZhrKWIEvEw0bxyvkAZVtI7ez6/216sIgZc35UOeU8VUoyeQcMuZFJ/zJ35WxHmmtvJV9EeGkTjRcKzGqsreUUale57Hlt38jP1DaTty/vyGqy73oO5lGzuU9UZynOVQL/yJRq2tYF8xucx8/GO//M5Oo7jTDGzDWZ2wOw/a0G/Z2bbzOxFM8uynpYP17quW3PuO7dYz7WUa2bLXNf91rn5L5rZV82sw8xOmdkd7yUrv994KfVmVl2Ja5DUcSLx7SyZvtdilpwX/cE3mXB1OyNBfdppIKhri7wFXMeSJRTSiwTM++ltZJacOTQ4nl3Ba5vrxggm5VKsrpiC5lQlmU+V+O4QjS5vupzHt/9VkSgbTGWgUGZLBER6Wjg1U8ZICpvgbEZSXnxZJPz6UdRlw7h3Z4/wtyIiaKyo/JkzAkDPIwD0UtL4DnHzaXSefIaKqvdtfEb1W1RA+cU0dCIDRQXYZdzjba97+LlcGhfBEaI1iBhhObQKH11FJbQ4QfRA8wo8pLFcc9FW7ot/WL5dGGb1ouHolPv7YO7Qdw5hLkj0QHtXtNmIFspkqIjgrQmmg3ZtJPc9frCIADdTnqtk8bBw0oBqxqs62DeW8xyLy8hnyeJqbY+X9D00wou5XnEUXgoXLEAkLR/e5EvzClSwSfQuvFDgxwYBzxA9gvRz5h3uZ/bNpM+GtaT3i401c2b8JRctRydj2+pPXnn5//Y4PpDuXZvI8FdlyUeKaGBECyH/eoivEB3RxnMYGEqlpPqlqL5EPz3DdVzVwg+OHMYwcV2JgNy/jMZA8asix0AYEvF9aJzt3c5E4fAACpWTDr30wcHclw6hSI67XHOWsMRGf51C+dAfaNgqVGoByWLBaRRoNTt8SUqxQNIVFMgdx3in+exmUdEh+kaFRIgy4glcmxPJ8975BPdzxCVMYj20hmv2R4E2071/QkJorBxsoME/zEPD9oSITM38d161fO9nzG+5rVs4C/MEXlENlVDBNj5X4Z74Y8tUnhZwBVkin6+ISimqF42LlFtIAzt/z99TODU15eSLSoGQHiXkVqfILTscRPqpEJHOPiLnKS+QMnSnw726fhzP8cxu0R4mh7Jh1THmkU2MI78kzaYxVbeF6wuNJt3W+OUGPSoiiT++i79/4AHRfqWLnxszgXJaJcZ3iSBceQH3KSKSh5F74O1PDZ2PcHyo7uUXc0Qnih5WwRSEZ0/Qo5hwFa8Qjr1FQfCdmb6ecNtpCpW9B3l/nTeXQqDqTTLtZJEonRLOtR0/IOqyxUjpEtERgamhDKKKZSLXSFgIraIqIccRZyFC78qo6e3yzJLiKAne+D2V/8w+NHS2budVy6i+9IwCwihE3qjxVcK57dy7fi96MXeqltGHHFHCf6aaxtrYG0gD6/4iusEH8GwHDiRNHVrDSE1gAM9xUB8aRKdEdVpdK/d9sLimUhg0E6dx3x/6V4qWYQKlOTKahoPbyn1ZuoWG0wBRbKAMyrpyX55PH83vHRb4RRECfTvly7yiqX2SUZ6QAA/mVC5K5mgq1/RWcYVUd2HIuwEdlG9fGkXDRLTQs9oCfvdyD+XUzo3kAwWLEFLKh6ir/WBRabj1OQ/mogPp4LYJOTVopK88/5bR+C14UEAiCCyc9EDKvMdFMcj1qczfi0ghHZc3iWh3i0iWxszHO1zRpuifafwjyMjXmtlPzGygmY1zXXfned8BMrL18MJLZpZnZl1mtsR13Q9MRlbQ1Aqc6kAdhbfyPpViTprsO9dZJTB5xNizmZGQDIHQrICzKkvJVM3tZOSOC8yGV9D0KqSu3n9LGz134QTaiCC+29MOGfcHkxn5qN7Hd/NHpDbTSLlnA2kk1FO+2Q3i+m6tSGYP9kP8nXkLBeGR5yi6lSGROcDLtZWKKNxivmvLNnqGwUk0BvLXCCBJYdhmTeF7vLyGBvrlAkCt1cvnLhHoy5eJdiYbBXTAvPFUrke20JDfGcK9UobnqN6iQ3gYPxc5hnJg31O+xNLk8l1V5UvGIOGM7KVBpHqx1ZVRRh2sFY1oBYzDNXNoOK5aQeNi9gwq16XrSO+Z3ZQNSdEioVbg3pwSlXfKAMwcwr1SPd9UBKbgACORnmiBej2Xv9e8Xxi7fj/XJjAzgwQ2V1CCyKsS6Q8qV297IXnlTDA/10+kQMQK/K+xJa9dVMujeOysixbRydxxccEQzf4xZGTXeoyYB83sG+8ZOv8NMnKomY13XXeN4zghZvaumf2767rL/7vnqxyduG4Sy6gpFIQntpJJy7ooWP0rTnYeIdEOSSe37DrLXBmVwDk6ibkTZ8oZgYoRxsqhdnoeg0NocKg798ZGegr9P08vsHENlVJLLY2LuLF8t46zXHPtSe5xeQ2V9YXmv4UIAyM5iZ5hexsFVXmt6DcT6hvlUVdt4aI673QTf6tENDjM67gwWH/VpXuVKFW+/IU5mGt/+CnMVe/le8SP4d6tWU66PSqA0Y6JOu/xXVTgA9pF4noIaW9BDHkoSkRsQ9MuTOG4Aljw1ZPcv6v8SudD40V1mgDm3FZNwyzXuCfSAO7jxZy6Cut9JabszFJhwAlnSfVoywyn4s8YfmG4W01V5HlPH/JByEjuceO7AsNJtDiJTuV5HznA9xgynjIzdDSfe/IJGlhHW3xla5rxmcM/Rxqre1dcOYsE/5MHabBm9PZirlIkKKsInrqCHXPm9YtqDJwec/EMnaydF9/Q+dDIyK7rrjIzE3g6EhnZejB11pyba3ccZ7eZkXL9Rk4APS1lTFSLHjQNAitiSAq9r+X5vsu4+kYyz6bn6MlNyKN3u+kkr1RicgQwXKToK3OK3liUMERVPkVoOI2/UzU0przLueYmgR/hSaNAbzhI4RAQSAWZ/jUmfLf8GztG57dQ8F8ySySiHud5+2PhmOnru+MiZ2Fhpu/e78untzzleqFs3uWZ5YrWIH8VxunXBficijZNSKPx0/L7xzF3dKuophIKt3EN6UL18eol8t4uFSWznmReZ+08xYjOHTcwYtC0g7+34agomy4RLS9EoqwaM8OYu+XfcTw9j+9/soJO0ZQs0mLZWZ6tygsqOk5l2Gck6Wf9c5QXM+6jwbH6j5QhcY7AzGklT7XtFFeG4kq3pJGKeWgM6XHLA6SpjHDui5JTIRmks6Ee8kbZXkaKX99LOXDf/RMwl/iXVT5/311IOfjvL5M+0y4nDRx5WiR3C2O/j+CLjEQamM1nKUNPd1KWjcHMp+MfGf+jHJ1zyMgjrafi6v1GPzNzHcdZaX7IyOf9jsfMLjOzP77Pc/4TGfkP4/vbHX19FYJq7lblJWPkB1NgjJ1JxXdtnC8xV7xCQTh2DIk2KIlMO7aZnojyFiuqKVSyBSrayCn8vd3ijjwzkMZZpEgo3lzEaFUfUU5feNCDuRH9KfgjB3E/H/1XrnlkB/dgYC8v5jqrhOcurhoUgrCigePieuPagb7n1nGCArTlAPezuJyep+oEfl8iFdrXKrm2X8bxc3FTuJ/5r4kGjH353YeFoTyrTbRxGENjX+VnLG9gROPGOHqkY4x00VFEo0u10EjoJs1n/2425ip+tAxz9QJsT+GYljf6youkMlENJECNMhooP8JCSHeJU0VEcD8VX+FeGj+DU3kWhQ/xLEZk0pjyVlEO/qGbxs+PhAHcLa7ER47iOTaVc19yogRkQyNpNCNc9AIUCM8Vp2mcqcq4q3txr373dSKU3OuXyPywaLDacIq/313F98rqJ6KzwoitPymweiaRfpZt43d3C1m2mE/9WMf/+Ryd//xgDzLyOjP7t/NAA81xnLXme3X1DTO7285DRjazH7iu++65fw8ysyVmttJ13T980HMfzrgFC4zu4ppFyobFiCuucpHQ5o+4OWM6ox5VB0i0zc0CplyUlQ4UvDJAJCOv6fBgbnjHhd2vq1YM1TUUPgNvEdGR1VyLGpEZfMZv9lC53i6QfJVH3i2Yq14kbqv2HmdELyX/3Bszs96if5j/NVpkKA9I5Wec3E8hVSiAzVTrAE8fnmNrOaNhRwpoTEWL0nSFlNtaT9pWfaNU9+XOdq4l9SYaOsceFFeGXeS+Iw735apphFRQnd5L3saUfI+kfjRYdu6mIa/aLPiP8FgaCGUFoqv2TEY6fyISw+/txcjSawLNe7JoTzBwDmmvQDQtfjOAc6PbBHpwCM9HYFVapTCIbg72Yi4ug/LnlRNM0M0R+ShJwaJsXFwTK8NpQB75qrWBb+LfNqeqhTQ2ej4dBbXHZe38bprI51LYWfsOkxanPjAIc02Pvou5hJUXt3v5qVGzL9rVVfbudz55V1dm74uM/H7j/ZCR3zvNh8ws/0KMHDOz+ak0Ol4sJwHFCSiPkmAywfU5zEcpzPfNXtuxlgJp2CB6OycOM9T5+f4U5sePU2GopODB7VRoSTEUKgq7pahOYGUI4LHjz6r8ETK4GnFX0PP6WiPv5n+Tz3D8Tcb3yJ1ET0v1Inulgued4Q+GY2bzLqUg/LdVTHT8wQ2+CvLACzSudguFWSdA4CIE0pYj1ibgUuzNYhqJC9JJZ1GpVAT5e/heqSncz0MC2bUxgHscLfqd1f6VZ5bVlwI9UCR2tu4Wrofomv7s6zQer5tIHg3OIa/920vcv+8sZDSx9aSvwg0W/YZaBCijinr4/5aZ2U+mku7ay/i5ARXkx/7TaBC9+g6v84YL9Nyvzea7HltBXg5uYzS1VeBgzBURVhUhqzkjjBAluyJJ9Moh26+wdWK5L8qoUTlo3dt815IXR+O0ZKMowxdGzfBc7vGOk7yqjWsQ8CahVK+5PyHybGjk/37x8z97ROcfQUZ+v/F+yMjmOM7PzSzGzD53oQsM85Axss5QUM2dSwURmObB3NuPUwn7i7je4QKSWwi9cQJP4ewBGgPFARQ0sQJDJjqYwiJ1IiMBv1wnQNaCyMxKUGcN8mJu0z4qjFGZvJt/7EG+28IYCoyv53BfFOz+prUUGDPu4tneuJaKLyBYGBONFN53hnkx5w/I3GeQMLhE5VSvJAHQ1sk9VlWB0SE821tv4++dep600tnOves3lh7p6u1UkBmiXcqgOArlzk7RBkO08ig+4cGc6kI/oD+V/8kNzJU4GkT+PihKvYM3UaEliYqljrM0Civ9rkZimrgnh07TGZl0OZVt4dt0KHad4NxwY7TpNVEwkCo62F9ztRdzZ9+mkdRwmHN547hmZweNxNyxPLPQIZQr//6U6DgvgEgnD6OD11xNw6SuhrwxbRD5O2p+HuZqXy3CnBPCZxyr9jWeVf8zZXANSCVPhXq4x8HiFuSoaNg6K9KLOcVTaQkXFlH/dHz4cSGm5GQzu9XMDjiOs/fc3Pesp4rqAevJw1nqOM5e13Xnua5b6zjO78xsh/0XMvJSx3EyzOz7ZnbUzHafS2L+s+u6j/x3Dy8+6sFcvLiHbjgqygVPknBzgilY/A0CldSqFFqD6AwdFsa1Xb6Qwicwm0r+2ANcb9k2RhsWiMZ4CkZdjfBxFGbT42iY5K/3YG6sSw/NEZEpBSd+9LTotCySKave8mLu9Soq8GoRNflKCAWmV+C+pHb5KvrQLArLhnwKpB1evsP4eOHNC8NkyW6G9hcn0ZisFwnafcQVzV/2ck8WiTYBykv1tJNW6hr5vn3Hkx6Pb6P3fUJEl7JyqUgVfMKAIFHqLbBbVjXxGSmi3UPpcRodf3V99+ArdQLtVkTrrJu/v8L4+6NEg9VesTRiZ9Qz2tL3Shqd61/wYG7cMJaSh/VnZOXEm9zjPlNFccVqOny127gHuQIgZ2QancqS45SrzwroiW8P5ntUFfCa84U/0TFI76DMnD2E15L+hk1TK2VozpV8sTNv8RyXHaS8vHog5UzBMdJnYjYNLAWY2HfQhcGZfJzjE44b/A+PTzwy8rLkG7DAaXeQCYpe4pxCnFTVFePv8FW4JW/Q42tqIrPUir4t+cLDGNxBxTJwJBWkQlUOiqMiCOpLhm/eQObbtZ/XL6ptRXQ017ehlh6KwtGpaKWQUj2IThRTELSIzKqZ36Ui6TxQiLln36YAGu8IMLIgGq05i32fu/QZKqBJotdOu2gOWFjpwZzKC7q/mYrgMoGOPSCJRrGC5v91O/f9p8n8rsptiUikQO9q4ef2HSGdqXD8526loD79IhV45pWMVhW/LnLQBvC7ylCcIsrVw2NoPPtjwXi7yaMTJtHYV8i2TwtFldZBGbo3lHNfjOM1iGpFsEHgWvXp4HtN/DZ5pfLpk5i7RvRZ+2JAFuZiRO5jh7jRmD+R0Zv2GtHstYjrKxSG/MTB4vcaBbp6ER2No6LZ3Gce8a3Eqv3XV/CZxlrue9IIUcIv0Ma9IsMpRQALqsq2UlHZViryRm85+/RFvUs6OXzORTMEeu9b9cnD0fnfHlvTFmOBOX0o0EuLRL8mUfZZJ0qpT7X5Et/sL3JPTj1FJR+TRKNBAWIVH/FgTing+DQK+GYvGTk8WpSrx9JLrcynR5WQx2cEJ1B5lW6jIEgRMesOkXfQWCFQgKtomAxxqEkKurhmdX08MJhGjepFtbmewnGWX0dmz1iu94zgxSgPBeFvRFfybyTQy4xhxb1V7uC+x4rS53d2MnozX1zVrnibhkmyqGrKzST/qJ5YsSFcS34nBbV/Mr+Z2bSrGNFxRR5QYDbz4R54GFN2ZSjX7BVRqMpu0u14vyiCcii6RNsXhckzziXNZvXnu5457sFcUwcV2rA5ojprncC6EtGwepdzl/yhH+aOfnsv5jaJvnW3zWWE8VUBVDhARHajw8kbqlxd9XzzdpL/Ro0hfbfV8uBqyigv/CMpRw4LvCFR+r27WsgK0e5CVdEqRO5Acb1+OF9gBon8z+Q1FzcZuXDo3ItmCFzs9hZm/xgy8m+sp0S83cwKzOwzrut6z5WgHzGzY+d+Yqvrul8891shZvZnM5tx7re+77ouze3zxj0512OB30ujZ6SQKQdEezHXIvBCElN9GUP1n1H5Lru66LFMFSWQKxvJQIPaRRsHh4ogSMx5IqiATjdScPUT0YHEWWTSx16lkRgmrp8SOzk59zMUcPnPkOkLOij0BolmftEJNB7VeRxp496rXj0q6Tsu3ldQN9ZzT1RFWIxIalRdr79aJ64bXQ/mZkeRVpRhtlgk2G58k0m8oaLqbNKve2Puze8wgXxqb14pnCykNzvyp4xovPivjKyMC6MCV1cIJ1xGpqZmMrpSUuzBXLZweJ44ReMkzY8cm4WhM0hUN6reVFVlpOM+N9BgPf4sHYBCYSReMoGKtOYYDbh360UOUTCvpJZ3k5f7iUqsgR5hiAqabxDd2hWOTJLD/WsXvbiUka2ADw+EMaJzSwppVDmWjxz3pdFMilrrI9pCRIkIjH9DWDOz3lfzvdY/xT2JcSgHdwfzbGNFIc3Fjuh8aui8PzJyhpmtdl2303GcX5mZua777XOGzluu6w4Rv/WvZhbouu4PHMcJMLO496qz3m8UjWBI7YCoJKkNJGP0F55HUiIjAb3SfAl8vSiZnv91kZj5KAVyylgyS0A8hfnhF2lwhYgoT7/bKWj+9CQVxiUdosJB/F6bwKdQDB4pmheG9SLjKvRPZRRu7KZhcsMQKtwte5g7MGEoBdxbh0W/ma9wT916euD//ozv5/oLY6UwiHxxRywNjtoanq3a4xPGzw0OIi3+SFTK/UZYnaEisbWhTiDRitwt9bnOLu5BaDDPe2crr1UWX0/vuPJdGoXV1QLu4E6u5aEnRKRLKIMF/Ug/BUcpG4Ze60vL7Se574W7aTj2v1SAldaLqOFqRj0mL6RYy19FXklJ596VnqGxokAJ4/oL44K2mbyCPCtyo1qFATiii8/tP5nGysMiEV4ZWJ2ijGtsKiNJewXq/MwrREn4ctLPbr+eVTd+jUbI0t8IeSl0YYxLPhsxg2dbvk+0fZnI75Zv5b6rYoNBBUsvqjFQMGTeRTN08g6u/OQZOviC47xhPUnEq86bu8rMrnFd9+YPMHSKzWyA67p0vd9nqB4c0YQisGpRzhoUSulYVU5hk5TmK/giM0SI3UMlenwlBXdaFr0slSehohRLBAbPtRFkbsUYSgENEldDSSkU8nXVVMLpwy4MNr62hN9tEWjBvafxyDe9TS91+ud4Zn95msbemFYqHIWRdMW/8LsPP+D73atFQ76Y8XyvitUCDl8gUseM4Pm0n6FSUmBsteIslBHS1kmBOWA0IyvNFQIV1z/EYbpR4e2iJ5ZK9vUkUGmcLiY99h/O9R3fT8NkwAQqkje2c32XDuL6tu+nodzLz7OOCOI5Fokr02T3wpJEh84kjzYVkedV4n5dJZXwxhaB1xREmXSp4AG1x4f30Wjwb3xpZlZVwD3wpPBsm0V7mFgBrBd6CVSAnfjNKcyp4o/UMTSU/76JDuikLsqV3sN8DbE2L/lRnUVEb55ZexnXpvCV1nXROFXJ8tNFhdmfC2gk/rTomU8NnY9wfFTIyHea2Qvn/d3bcZw9ZlZvPWCBG86hIZuZ/cxxnBnWc911j+u6MOfPR0b+dV4/uyXFV3i1nuKZ1NeTSXeIq6Ur+lM4+g/V2Xf1UirljWGCNs5ScA0TuDdDBC7GndlUuCpi8jfjM+aJ/IcBxFq0I89xT1S3cdvPqZwF3JiQJEYMyvfwu95DpO0uBdIhInPKm0+MoCBMD+Wetm6koE7v8BUsUTniLv1lCvNil8IsVJSYnRKYLLdf5cWcGdcbmUhD+f+x99bhdVzX+v8aMeuI2QKDzMwcU8hhxqYpMzPc3sItN21KaZo2bZg5duzYjilmZluWLLCYjpg1vz+k3OtzPm8St0nV/PrNPE+fRttzZvbsvXiv9a7gVLLpoTU0JE7uo9HQ69JI+lstv/fXy+lVNx3ie7OXcL+dSBG2n8jv6BWx23ErvBjrOEO6uP4T/G2t2KOMMCq+Zj8cGWXsnz1LA3PCUkYu1mzgEXm4KJuPEvliSfmcW18V9ye1lwQfLrp0Dx/FBa0v4XeoI7iQTDoA3cf5jrA0BZ/A+3q8pKn637PtS3SsOIoX/bQaj9EJWOTQ+drpUJ5tO+orz5QxpHIk47t5X0EZo2GjhnHdL6gXsraXdKFgK65UWe9DfKlK2f+k691ARv6WDbTmuNp1XddxnFAzi3Jdt95xnGlm9pyZjTOzEDOrtYHIz9OO43zRzKa4rnvbW733oXRqa3W+GinQNU90kgkuFPkOvXW+QmnPDgqzvASeacdmUOiHTxVZ+hu9HBO9mtTV0UWG7xNHQ+19VEpjRtK7UxgvqzvpQV4segadbPZgbGIK3xEUIpomCrj62ATuY/FZ0X06mEJ5qqhky82jQFcgY7HDfD11Bc1/xGj8Xb1MgFeuJ60sFUdcYdGkT5UUW1JEA6alT5S/O1Q280X1Smgm6cIVnuaG9RToqkWHar3R1ESaUsmuN02kk1F2hMpg9EPXYazy0w9gLDKRxkQQWd52bPPdo+njuY9e4aA0NJFmdwdy7Jap/K7Q8YyirPsL9/GCy6g071/D3yaLPVs+gdGB75/kPi7tFF3EhWabNZ9JsbXHqJgVIryCDjgcyDUVxWiW1UveyIwTRk0LZesVS7iX/i2CEtNpSKj8s/BgzmPYeC/GVh1idHFWNGVPQq5o21HC9Xy5lU7050qHNkfn9Nihi+iMOPYejei8GTKy4zgfMLOVZrbUHbSYXNftMrOuwf/e6zhOoQ30v9prAy0hnh38+ZNm9qG3e3eeS8+9yiWxJIhS3aUCYdUJpwLbs8OX6GMCKUCVovphAZXc9YepCHaFMJx+mzgWiLh4NMb+/Ct6GUtEX6uRYwWA3D6GRCP76cl8+AYvxo49xTWenktBuLmEazCsnyH/uEjuY2QK16qrjPuo2nvsCuH8IsupXKNEY0r/QiRl1BwS+SkrTlEW3HAxjZpTq8XxUz2/KyKENJWcQKHcUCMaRIYxKvHaMYGtM5XC9tRjVHKJxrmkzycflG3iuufOo1IyAsDa3j2klVkraCi/ct1qjJ0IZR5MtohMqe7i/iXxnmOMfFUYvytHJLcvDaHDo479bqhidDYrmPRZup5Gw2WxpKnEmfzWlmPkjEjBLXFibz2ircq6bTwaWjCSxnP1KUaZe0TkcFogaTlC4Ixt7qZxPyWfdJuzk+9tPMz3Dv+wr/Hcspa8MnYeDcymQhprO/dRdl82n3plvVi7qiM0plYmMHK6UER237/e3et8kpEdM/u7mTW4rvv5c8YvMrNfmdki13VrzxlPGry3z3GcPDPbYmYTXNdtcBznMRuo2trgOM4dZnap67p038651qew6mqyKD1USj3DyMy7g+ll3Ox3nBWcKJSt6MlTtpqGqerREhdKZatCp+ERFAJltXRR00VjxayvTsTYk9+msFVXuTB3pwtQwv1hFARTxH2holJszAQK741HuGfTk3lfRTW9fhW9CU3ge/92kErog1N89zsgisohMFY0Yt3M5xcLHJ0ps0mfrWKRVcVWzDAaFyHDSQOPPMU1uXIkjefHCvn9s0V/pawcUYUjIodlJR6M1feJiNtIroFqjVFWSCWXnEL6LqngfZ0u923adHr4bdW+ax8aJSAR6vgNaR+g8tr1C85t4mxB2ztFZ/o8zq2lQSBwx1Nu7S1ipCY3gnOpaaORXSiaG6ucn29exChuTyUNR4X+/qzIUVnURVr+o4i8Xyiq0SIFWOOcYaIHoaiC6+zx3W/VGuUPDYyiXNxB5yZVtOB5UuAcNQmZ94korucO8d46IX+HOqJzasxFQxbRGXX8lfdeMrLjOPNtwFg5bAMl4WYDyMh32wA68hsaZ4fruh93HOcaM/u+mfWaWZ+Z/Zfrui8OPivbzB40M48NHGN90HXd0rd6/9lZSzDB5ypoZa8Qpbr9IokzLp1C/uQJX+KrE4BQI0VbiKQsju09Sa+1XfQWGi5QbFW10qgLyWhBU/Mx9tr3qfjnr6AAfnQj53dJCgWIOkJSnbrV1SmaPI6fyrns30fhfVB0kU4Ur80Q4e7pC+ktHRPtBAoDfZWLwMqzGy/gmryyjvNdfp44G1sbeByhwt09ItG8VZRlq0o5Vb49SlTIBMZzfr9Yw3W6qp80qrCp1BFS+Bga/MeeoVI/KZp/XiKOuCpPCIN/vMBC2cU98ue+I4LG8ruo5FQLiJOr+F3qKDnRIxRkG5Xc7el0RvoESl+wqLxTRQ77zojIVxj3sUo0xU2L4Jw7u6mFk5L4vMQLafz89jHu7cROYWQK+dgayG9bOYK8plqSpGX50sWBIq7JyHga9s+0kwcWdtPQ2xpCp/djS2jY71nFiE5yBPmnvp18sbj6yfcNnXfxes8DBj6QwRwdpZgWhlMovdxFZb3EpXESF+9LfPurKZAWTmEIVwlflXdyRPRBSQpilGfMDaJKbAMZbXc1laYKMReeIuO2uBRcCWIuqjv2AXH+3yUSTVTeTmgkFUlpMT2jQlGGPcqhAFZYHqrBZo+RWKYM9xVKpwq5TsqTS7+A+/PAKu7t/ABRsSaM7i2i+/TSAB5LquTzO3tFfkogvz9nLul99wbSz7S5FNQHtlFBpMVQyam8na5O0llDC/f2RBCF/HUX0mA9+DIjBm2Clj3i2Nnf6PBkMWISNpGy4sSjlI3ZYxT+DIbMFUZIzCcuwNhrnz2OsbxY0k+ryIup6eHaibQvOx3CdVoURDrb0801XiqaKsfNJT12nSSdqcTo040ejClokLGBfN5qwS+3JZFuqyt95bKKECbdRGTorb8QJecC7kH1rasTrVaKxLpfGE/aTpgpaOXPQ4s1c3L0xUNmCOSfEEch/+Lr39829W2uEf1U9B39nHZ4Ij38Gzxk0uerGNFo9fp6Ix+ZRo/SESu1UWTVXy7mqwTXMZHY2/EIv2FEHplUJVT3t4sE5ZMUIHOvpKBuPUzGPXGSCvwXIj/hv3voye2toSJVjftCAgVuUD8NjMAAgcchwM3GZnNd1pQz+nei0PfbVDPVR0TewBdbSU/pPZzb0QAawCuX87e5dVzPx0Wi40+voBF/4CkqkdwM3qfKnNMiucZNRVSkk2aKXlylvG9NAw2iJSLCqvZ7ichZ6CjifqioyVjRauS+OhrjXxjjuy4KkO/IATL4tOtEFc7zHoylZZO/w3lyZe0PbcDYxBzyqGoLkTOBtNJ7kBEDVZTR00EDIecK7kXUFu7Fq0Jezl/LSGR0PE2sIHE8VhbC771quGjquZjv7fyTaLOQRiP7Rb/Ch89nC/75FQ29KGEl+mMwmZk9/5QHY9kO5za5T+S4VfO3EQWkY5FT//71Dq53goz8AzO7YnCsxszucF234m2QkaeZ2d/MLNzMVpnZ59y3mcChnMvw79UdFPIKWlxZ8olXUig/dq+vEFU9X5pEKHVWiBdjhztp/GS7ZIKxCwWk/UkK28JKepopQlEpBODCNrLLyBgyeHQC57e2lAZCvChhV9Ubk0ZSYJ4sYNQkQNj1qXHcs4zrPBg78xAjC3u6eN9C0V/IH/MjZApzhY7fw+fnTqGyCZ+fh7FX76JwnD1GJHWe4f6kjaTSVNgwiYEi4TuWHmmXQAJPyeM7guO5Gds2C7TxJNJt6i00Ljo2F2NM9dOqL+MRileE8ofnU7nWlNDIVlfGZN/v7awWSjmcdHzsCA32EGF0Z2Z4MaZaaqjcwqZSGjUqN0rlgo3LJ58FhVMOtNcLkLouGhyqjcHXq/je380mHyjZFZ1BmSzSw6y+lIaYyudKGkG5p6qYAgJ9f7u7jk7birnkx7CrF2Ds599kn718fpYtFwjX/eJb1x+irFHH3/HPD20LiBOjLhmyiM7oU6vekxGdXjP70rnIyI7jvGpmP3dd9ztmZo7jfNbMvmtmHx/8TaHrupPFs/5oA/g4O2zA0LnIzFhicc6Ve5FolbCeyvBIKz3wcC9/u+uPfMcVfjkBOw9QsaQJhMwAUSt5knrFwrsozEq28B2xffSyFlxHpXRIePPbRRXSyhgqpchYKkjVL2ZxIoWoapgYShliZ/dRAQ1LpoHVLhqlKi+wYzejIdECwHFR3/nN+cjrvkpovFHQ7HIokJp2iVYRuyjNln+Z6/nKL+niT8/kfEPSyZIXXCyqXA7TC+wT9H52P9cpQHD97s00VpRRU1HHvU0uozF55hANdBWZS8kkL4e18juaqkWZs4BeUAZ/cLavQdleQYVZX8o9OxvI/R4poC3iZpKOx4ZxTQ7voeE0YTrvC8nlXKKOkFa8VTwuWSu6vC8Wx1SNHSIJWhzJ/HI4DUzVKmJrDR3IvGpGt3OHi6a1Aklc9a178CijnTflkHejV/jybtrvKPOe20H+vmEeDdGcXn7rRJFkvF48b0w41702SOCJCYPo//VrsNjpNzZQdHuf67o/eSfPe1tDx3XdSjOrHPzvFsdxjptZhuu6x865LdJMNNo55xpsJRHjuu72wb8fsIFWEm9p6Lz0Ahl3XjoJcngnPfDMWRRo0ScZvdh3wNdznTObCYLtAgSuu53Ld7tRAaXcTM/4838idX8vjUKlcYdgtCupMApepOBSfWoCRB5HXDLXSXl8YVn0hH+/ld/20VEUPhEzKeSf/BvntyyJa//EEQq42y7l0cgTL9GLXtTD/XgmzHffskv4rRniSOqY6EzfKDzPsc8UY2zOCN4XPceDMbeDQtkZNQZjB3/mxdiEefzWfT2MMEaUUYlkRgnwwnjOZcpFpLPqV7hW+xwq6wvEcVb0ePLQN1+lMfW7S8gvrS/SMcgc5cVYyQu+z8v76gTc0/zz0xhbkEo509lOGggcQSXX8hqPv8eMpVFTc4rrFN9OfqwWncD3ir2lSWy2X+TeLB/BiIZKgj50TBjAAjBPwYDERXFM4Xgd6hW5jo0C58fh8zYV0IEIKPDltSxRRHHD1/nOkruLMbYohbzS3kLD9pJPce0aXyTNXtpJnlLtbD6IkX/t9V5K1XUcJ9DMfm9my83srJntdhznBT+b4x975j+SjDx4LLXZzMa7rtvsOM6PzOx2M2syswtc160dvOeomZ0yX2Tk6Wb2E9d1lw0+a4GZfc113ZXiPf+LjPzfyeOmXR/rmziWdQPZueYFhlMV8G54HAn36DFfbyRA2GwpMRQ+KopUEcyXKmTOzFwv50Z6t9MCdXWHw+/P7SYzq8oCFRb3NlP4HAhg1Ojmy2mIla8TyKmiq3R9H4VDehgFgZpfZRfn54okY4WK29bF90683tfYbdlzfh1JegTwWsKF3J+uI1QECm37yD7RzDCExt+KSK572gLu9+4XBB6JSDJ2Rej9t6LU/8vX0Xk4+wKjLUECKkGByinPvaCfil4d9Z4MIA0sSeG33V/PyMJXPuirNAvu536niArKgODzg4uNGCcqsRr5DWe20IA7oRp9jqIRsuEUFXq7OPudE0qe/3kf+fEnuaTR/ccEJpYwgP2PhszMhn1xJMY6XjyAsZ4WzvlnpTSmbhO5jqPuFO1mdtIxKvTLXTouKvvKRS+7UCF7PnohjVPvftJ7Q63ooi6ACg8XkedPhtLYH+ry8uMjh+7oakzBWx9dOY4zx8y+57ruhYN/f8PMzHXdH/+z7zzvZORBZOSnzezzrus2D774W2b2rcGJfNrM/ssGoj/DzkVGdhxnnJnQTG8SBXJd914zu9fMrPVrV+OeV/8sUIA9HNvdzGiQCqdOnOwbFq4tItEqbIuQFk7/GlGloPBSQpMoRL+/nYJmhei8O8qoNWcspNDft5lCP0bkMqlwvyqv7q1V5eUUIqpxqqdL5B810khoDOR9GUYvSCWK1m3hYsUKADkn0tebO1NERdAkKnqSg0kDHU+L5wsjMX0Jhiyn0ouxWNEktE0c8QXPpmKZ1rqXcxGVH1tfobD98m0Uyp2HOb/OLu5ZsUisVyZCVTD5YIaoqPMKo3hKCI9wFV9dK8A0vWt8DeqSLgHrf0s2xl7+Po8oFubTCPn78zymG9tNPtsqcKg+KdCNG0pp1I0WcBT5X6Nn1C8alt7wIN9bLsqyxw1jRDBuAWVh8w6+Y/N/8WjtdAjnd20uv3e+6CbaKiA+7vkrDeUA4zvm+h0vXjaZ0bX6Iq7xfi/1hSscyIdrBfCl6DtWUURenpRHwym/XUGiDu2ljiP/Vde5gYzB695Bnf/GlWFm527aWTOb9U7e+Y6Qkc+5HjGzl20AM+fNkJHP2kDH8zeuTDN7W0S7qhcpCKdlUZipSoVLBTLyi+IsNf6MLzO3dQjF0kKCbwwkg4bF8779+5jI0lnB334pl8Kip4NMoKJS67byu5ZM5/cHevi8ih1k+ocF3s6lopQzIkYctQieKaiigpw9l8ZUaxlJMnYcn9ewjS85LrraS7j/Df5eLxXVowKn5hciCtfbxX2sraCX3nJAJMYvoYfvbCS9K7yUDd+kwl326tcxVn3nzzCWn0AFvv1BD8amTMWQZc8Unco3k36ChakzKlgcb6SIBIVS0SBRVDapPky9h7gf/kcyu2nX2sINhzE2MoTHG6sLRC6GwHQKEs7Dl24lTfWc5ny7C8gDJd00ONb/1IuxD07gWJhRnh3sJ+3d+Bl2S37gmzQSLkkTjTTjKJNzhPIsKqAxseIDIvr1BNd0uWiyqqAN/CPUqvw/Poe0aAc41HWWz1ctDpMjScdJ2eT5sgJGXRt7qLty+Yr/mOvcQMabXOcdFDnf620NnUFk5L+Y2XHXdX91zvhI13Xf6Np2uZmdGBz3R0YeaWZFg8jILY7jzLaBpqC3m9lv3+793SISEJVIgj94lgR0iYiaBIujOv8eTiMjybT1Xgqaq5YKFNZCCq6kMDJVgsiLUUnB6lggOosCc2IslZdKfpy60oux1PH0Fpcc5zoFilB+zHgaTjXbuQZjc0SrhJ0Uetl5DL03HiQNJC6hcu18hO9tq6OQj8n0Xb/MHi/u+cNsepSFL1PxlXVxzxZdxqOm4KuvwtjWO9gnYe4n+Ly77+cazxFRrqJrfoOxo62MXsxIo0G9KZzv6NzPhPmpwhhPFSBoCkxTdHGw4BzybVQNjZqGA9yP0BSB3i288ovn+tLeZaupWINS6H03dNIimhYhypIT+Txvo+iTdR9pcfxU8tTpdtLZwjk0bLP3ejB2YA/3e2QWj6niRe+5338bQ3a16Nu2r4wbOTmd9z0kjhFvy6Cz1HuWsiZ1BOVedytpdGMJabTcj1QiT1JeDltO2lkRwTV2wvjOD4+hrO0qEAnuAkdINXvNEZhlQ30psNp/43XWzCdUd15Bkbe63gky8ofMLH9wrMTMPu66bvnbICNPt/8rL19tZp95u/Jyhdiomu1lZFAAhUSSWQ4epyDwB4UaKdoLqLNVFZ5feCcZqHMfBc3Jg4zyVDq07C+8jt/1gsBxuHDS23dlNzMLzRcIDd30WtqP0Tj7STHX7k5x9KCaqU7ycE0zrqZXefh+7tnOIHEU1EOy8fTzO7JiqXBjEn2/TeUFrSqjAE3qFYB8oTQSVfRBhYZPn6ZSPiYA9C7NII/vKuFeKATuQOEIrQ2hYv4I7Sard6mY40XfJNXHrLKVUa0Ckcy9PJbHJbEC0K+1knNJvpXHTY1Psxw4xK/lwwvHedwxspcL4AkTuUJdAiPph4x+1t2zH2PhiaTP0Gwa7E+9yMjktGDRDV6AUOZM92JM5YeFjmTUbNvD5LMRyVTqSQuo/A8/K/JgRP+wA6JSdWKXQJYWvKyO3fMmc35nDvoaz2d7ObexcfxdXy/XU0WnY5NJ77VnSe+qmWjMIkaPy5+lozDUoHpH8lYOWY7O+KKX3i5HJ8gGcnyXmlm5me02s5td1z36z77zfKqutpoOJa16k/uftoFjLvVve8xs/D8ywWONJIwOkYT3bC2NhK+L3ijTxXGJP1haS71IphW5I5df68XY8QdEt+wYCrOsTFrx+Qlk7gefpVBeGkOjof4MmVkp1/uOkyHnd/K+w6Fc92+P51GYqhqZKSIGDXXirH8TDcDYSK7VTcNUiSuGbM8xGicqIuYP5lwhKlpuEOi89Xv4zrYW0p06UgmIEa0tqingykUYO2aiYNMSDl0yi8bump08avnpcK67woyZPIxeevQILnxABOdX9ZLI+5pPj/nVjdyz1DoaHa+E0dD58INchMoaRogmfcKXny9qpeGoqoFSJ1JRRZ3m3Hp2cT272rgmj1fTIJq0j4ZjvOib1NrP71cJ2jGiqvRUPddkbhTp+4lwvuMXEymTAiewBc2Ik4cwtvU0ZdenM7n2kflcq+Or6QSNEPg9v9jLJO1v3Oa7R6GP0dlJu4A82lNOp23Vbn7DqW7S9h3RNNhDYrmPZx6jsVYjInhc4X/tpZy9f9flum6v4zifNrM1NlBe/td3YuSY/f8AGXmT6PGioghLcuhFVx6gUk+fSeWyo9ZXyM9OooAXhVNWsVbk7YgqivyFfOfTL1HoXZVPIXCTAKJ6+XUqr1ARGBsfRcHwqVgK5bBMCrPMYnp8zWcpCLOuoAJ/+DEaSTMcCpuqUjK4qkJZ0ErhHRojMIeupJd26mUqg6AQX5rKm8Z1KnzVg7HWbn5rVio97eqDNJQf7KSyWdZBJbdYREzWvMToX7PA4+iqpUea2Me9Vcd5qlFsR6sopS6hoq8QGDReASVetZd7sS6Ugv9XH+b6jVpPI27zCfLBhGhx9Pmy75jKo0sIJYPfuleUfjuc2xdX8XnBAg9qehfXbnQ+FaRqtdLqci9y+/m8Tc2klbkCT+vX22hgfkkgnwdE8b1n7y7AWPJk0l4Ab7NVxTRMrojk3o6awzn3CwNjTDff21vk+9uWTsojt4syRUGIpPSRH2v7uSaHahmFm2iUtepI1xFHd/+vX67rrrI3Cab8M9c/jYx8zr9/2cx+bmZJruvWnTM+zMyO2UCZ2C/8nvmCmeW5rvu20Z2SqcswwTABAqeSvHr7yQTxAj22qtHXe9gvSnzniQaHxX0UhMsW0lgp2yXKwa+lIqhezbkdrOPxxtgYL8Y8qfztPiEwxwvYfNXAMyeTgmbPWZ65z8wW5csikuSZQeXasIP7qPZ2ryh7HRHvxZiqHguLFkeJLb6CKu0aGnWtW+nxKiTjV1z+9pM3ci96S6lENr3G75qQROEYk0mFdmw/IzAbQrnGIwQ2SpwAphyXxvfWiShcV69AwA3j/GI8VCS9Qik90kYFcYEwCFRfqxBxePy6qGz6gl+ZfNPr51cyrdCSjx7iuquGtQHcCtnBfp/gqYxAHo009lImzbqEexaUxfXsKRAIymmMmPSWc11MGNSOGCt6TbSZmEUn4HFRDHLrjSIBv5k81F1MmvqdMHY/PdrXOVRpAgq8UjUj7hPdw0bniePW+ZQD2x8gEcz9KOls471876XVjw5piEV1IPhXXROLX/z/DzKy67rHBo2g5WamOpDfZQIM0HGcq82MVsObXHsrKFhCy7kncxfySKqzkuv56hl6FMvyfEPqk4aTuJ8QSunyfEZbNmwSrRMEqvLLT1BwpfRSsYwyMndSPgXDtt18b6uoCttQye8QVb+WHyUiJhN49FBbRAHX1UOyalxFwVLbQcOhoZK/FfaqBYdwfvX1XL/DTRRyVy32NUa33Us6yYrlsxQOzOURNAiLn+SEC9u57nEiehOZwAjH+gMU5nMyaWDOFs1jlTEwbgwVc6lwFJQyCA1ihKhDRLpaqkjf7S7X70N55NuCIhr3Cz5DughIoyHv+R7DCG6775puK+ZeqDyb7d9UYo2XyrPpa6Kx5h9JNDPLC6NxoVCB/y5wibK2cixatDzxCoyX7d0i1yiHc3lKJPt6BUjmtQK/Z7NAf79CABWWPsNj96pWGg77BQz7HaJJ5tkTvr8tDGQUTjWGDhVjk0Rz0aMiX3P2eJHLFEYZ5YqTgbwYkUT1/vWuXv80MrINRGvuMrOvmtnz5/7GcZwrzazIzNr8xqPM7Is2UEP/xPlMcKnIlXhmHYVSfyeZTzTWttPBIvxZ4vH5O7KagmaCaFzSWCFwEhKZTxIaSYU261OEBfjtdxjCDXOpMMbHc9s6xcdediOZtHY9vcXklR6M7fsLPcNuoaiSRcVNlzAIRi/i0WJmO8dCJ3Fvn7uP3xsshEh0FJXLPNFs7+h63wjWyDTRd6yRymuE+IbTm6gwXgqkYrlWVOvEJnAvVLn6JHEcU1kh8GwEZs5NS2hIlG6mN/94MJXBdy/kupS+SqMmIpL8ckCE8ocFk1YKz9CoCRaRuaK/cP0io6jU07JFRPBp37kEiue3P7cbY6OFw6NK/Wu2ck0O1pGOl13GCExoAmlKNU69SlRD7+tmJHZRPCPKFW10RqYE09dUEax5RhlyTDTyPSqa4M7JJe398axwyESH8Bmio/k80SirpYl0u6PflyeVo3SFyBUKCuX3q15sQV2875uv8vvnCYcv8Fnud7nI0SEW+vvXO7n+aWRkM1tsZktd1/2c4zjFZjbddd06x3EizWydDUR6vmxmrW8cXTmOc9fg7/eb2UtvdnR1LqDQ91PHTrvB45sQdrKRRBXpklmGi27O9cK7GfM9X/C13sMncc/2R/m7mEAK+LgYSqTSRhLyjMUU0j0NZKBTh4WXLrpAt4kjhdwMKsizFR6MqT5ZojhCZqRfnkJhpo6uwoTXsuc4lYFCN85dyLHCjRTeCUm8LypNIC76Cb51exgx8Yomrvk9NKSSoyh8O7u5FzlTvRi77wATHT++jIb9C6t5vJEuOiNPmMjfPnmC78gWIGhZ4VR8KlITLGhP9avafYbRlh5RwrJbKJfLOrlnUz/KNW3dzKjWH0XE9kuX+sqBms0iUiWcEVXZtlwUINRvFXkctaIKJ5FrnDBTYAGJZOwSUUpe0UVHS1XZdQknaMWPRFn2L4klpJzFRi+dgOYeGmdtDo2VOmHALBJRqOebGDVZ5JLOikRO3/JlvnTR10zZs1okGS/JY7TpqRLS0wcu4nwrt/C7jnuppzwiur83lM7sl4YYGflA9uVDdnQ1ueSF9+TRlZn5IiPbwHHWt8xshbj1v83sLtd1W51zBJvjOJPNbITrul8YNJje9DoXUOhI3kq324/vq4JIVDdcSG8pMItGQssDZJaa3x/w+XtdDQXctDBa4sMvIwO1HmAEIbCRHtDZ3TScTnTQS5+RTuW1upbzWxIvvl/g3qhqr6Q2KjRVatkpmij+VczlRhHGVsaPMmqqOim8W16lEM3NphEbO4u/7RdpB1Xbfb9jRiLP3JMvoQA99AC/4fUuCrNmoRw+mk0DIVVUcamW7mNF+DwuiQaWygtZLBJMW/ooWFWpsjq62mWk5dBSjs0VcAI/7STNf1oke4ZFkq+2/Yn70WekvdQQrt8rz/pGPqYmkFeUUbPsUtLFyef4DQ09dGTGCQRcZfxN3MG5vNZIJSxqMgbqUfyuyy7jnOu2UYed/iFpalcP5eWVUxhljmikkR1TT5rK/HgOxqr/Woix5xppyM8R0ZsQEcUNFT3pTm3w3Y+YaMrk8H7+TlVypvVy7fpF09muTn5/gnGdptzJ500upoH1/vXuXucV0RlERn7JzNa4rvsrx3EmmNl6s//F2n4D0GemmT1p/wf247GBBObv2gCmznfMrNsGDKxkM9vmuu7it3q3wtHpF0LZK/orpYhWBLF5otGPH4GXHqDBUdtJL6ZdeCxBYj0Xf4xjT/yFNuZyEU5truN7s2+msF11H40Q1XerSiivO8KoDFWIPsojkk7H8z6VENlXzXd0FVEA/byAnma+OApbkkADsKaWCjctnUcegX7Hl7Hz+LtDD3N/+kQJZv44KhbVHTx8AZVX3TOMSPylgUI/VhiJo0RU5jUB2XqH0Zgc/hEaZ/t+S8UyZhK/TbVH6RIRLHVlTeRePCqiWitE88+4TEZKI1cMx1jxPaSLhGG+kZQg0fly62567hEiSqx4PlxoyJGpNPQqqilXEj3cn9Q5VKTVO7jGCnpD4Rw1inYKsSKyECsq4Bq6KFcnTSbdhuaLPl5P872jltBh7PUK9OHZxEi6709cZwFNZBl9vnJq5vdoYJ7+aTHGgoO5301t/H4VjkgXOG4Krb+gmTQQLYCOFlc/OaRRj/3DrhiyiM6U0ueHPKJzPlVXjpn93QbQjj//JvcU2+DRld/49+yco6tzxnPsLY6uzr067v8qJnjmhyypV8iOqSNp6Ph3KjczC3d8CW3sNAr43jYBwy8a7V16sUgGPEgGVYmJVWX0DCu7GaUYHivQWeNoNHjmUaKvf0R5xryCRQg8TAh0EbywERkU8qqqRXUBfliUgl7nUDhGxYi+U618XliEALgb7SvQFTpv2XM06rZ2iLL5QM4tezrHnhF4NteLJqmNu6hsVLXb9Ewq9OYGGsWqxYLKRagpoaJSXa+Te4VSEhSkjvQOt3v4XlHBc7loNdIscqb6hAHYLo7bJn3Wl+ZP/sGLe4aN59jZY/x+1aixzUu6C48i3amqs8oa8vzomTT0ju9ktKU4gEo4SkQqxou8QVWNWOaXq2hmFipwqLKneTHmj0VmZrarRmAzCQT3PaInYZyARVh4C2mqboPqNecrazZV09C5SgCxlr3Itcu+jfvTfZjH9ce38Rsm3iKgHfZ6MVZ8kr+dVfHM+4bOu3j908jIg3Xub9xTbP8iQ2dfFjdg5BVk0tefFOFj0aSuu+PtvU9V0l0WQiE1vovzSI+hcfVoDxWpUt4KUbhQhOJHiWS4aOF9Klj/qwUgkMof6eH0bMNJKutc0TTzrEultEA0Q4y5cw7GencdxFjhi6ISSyi59FwhvAq59v6RmR6RrZieyH1MmochK1lLAT9sMdek9QT3zL8Hk5lZeByF47qjXHel0BaKTst1e7l27aJJaO6NHNv+V9E8N4c8FeYh7T1/lJGaG+/ktx37i+hfFMz7tvbR6Lh2FI9Veju4l4cKfQ3FjAjyQI84qu0R5cYqR6lP0M8BRySki957VQfoyGRezOftfZw8Ne0aGl3rnyG9KxTgOtHSZtKH+b0b/syx/DhGZ6MTuI8KhDF5DNf+7EHKveG38bduB9/RV8/nPbrO17AR9Se2KIZ0rC5lEPojbZvpY+PTB6lHRi/i2nXXkJeT128aUmNA6dl/1TW17D1o6Py7L3V01dbGkOAGkTvwseuprHorxdn0Ol/P4wHR0HFRn2g70UOBvOAmMl7LLgqkB8oZDfrUZRRINRvJVGkfzsHYqbvoZSSm8r1FJWS+GT9mC7mutaxCOfM6BdJWl+t+iYD1V/3JdpzgMdWyT5IH1v2BNJoRJM7whfcZFc33Vtb6fsf45RQ+r6+lB90eQKE/ToAyVjdTiZQGkWZFla4tyuA+qtYBTWX05svruD+5WaQpzyzOZYtwFBZ/kcqma9cZjJXtJQ20iJyFCtHiJDeQ/JKSRh6NX8FoWsNafpu6Ckp9aT4mmPxd2ctvnTmae9El+i0lXEJa2f0n0uKkheQLhUnz9BbKhkty6Cio4+XtonQ+06HhPen7ORg7+N1ijOXmMxoUKJR6p5fr8mwF+VuABdvUUC/GWjv5kqp+0Xssi5HNqGG+ax8yhY7CI/dwHsvEcbjqtTjsrosxtv2OrRgbM5L7/YpIls/v5/7MrXz6fUPnXbze84ZO0YQVmOATzQyJfnQyvbvifR6MPS1Kf3P8vLlbPkcmq3uccPMVosRX7aDyAhNTRAXGlaK0+g98Xkw/n6e8rL1NNGq6ROXLaJdGQ0Mf10Ap+sUT6aUeO8j9ycumwFQVHZXi+O6Yy+O2DNExevxYHnkokL/sRX7fK4TvIVEuWiUUdbdYT9V3rE8Adxw9znXaJ0D/KgJo6Pzov4ZhzIJ5bPPI10m3ykAfL5quemtFWxFxRJx3G3mq30v6LnkJQ5Y2hkZNoEc0GC3jJjVWcn7KyPSvPoybRsLb+QL3OyaQNHba+E4B/WQfWUQjqWiTqMQSciBSIJUf2Mbjy1DRKuJ3ofztvH6+d2kYjcTsT1AJNz1zGmP1FVzjvE+Qlk/+VuQpiUoxJZNKRAR9Vg8NAk8Ej7A3+5W6X5lLGXV/CY2fj00l3+7ZRpm8WzT6FO26ZFsIdYQvi0Z2rx9SY2BP5pVDZghMP/vce8/QeTNk5MFjqY+Y2Ru7+U3XdVc5jjPT/q8Fu2MDyMjPDj7rJhtoCOraQPLyrf7HXf5X9QWLMMGIMWSW2i1U/gqWu1cw1dgIr8/fzR3C8xxFwfDqKQHkFn9+0YzVBfztGGFwhIeI47ExPFd66RCPCqYLTylIQNO3iAhZSppIGuwig++roze7SPTECsuncCx4noq5uZuKftJ8rum+rRT848fQIwvh9Kz9rK8QfUU08Lz2AiqqnSLK0yNM25kTmVQu0imsvYoa8lQpaTZDNCZVbKuSxcvOejAWLSKWu3potN/4Ke73E78TRrbwSMfMp5J7Zjtp/ppFXKvuKr4jJJGKb8dG0kBZMNd0sh9KW64Ad+sTmsoRSinYw/uaz/Cdvd1cu+JaD8Yy48hnGZeRWA4+yOcpILwrLxEozbGMVq1+mMZPr1A/2S4NifypFNlFBxhxS0qiEVdRLRr+3sm93Siws6aOpCNTcJr8khjpK0cV3IOCRCgpprFbI3DMFi0gzR7bIvhWtIcpquQ7IgJpnM4e4hyd/3RD559GRh78t7v882/M7IgN5Ov0Oo6TZmYHHcd5cfDffmNmYwfxdn5mZp82s++91ctDEkVn6WfJVK0C9yROuOoLx1IJl570Jb56UX7Lwx0zEa21xBkqtZfLvLCeAikmnYrquycpzP8nnuH+hQKLIuUGelnVj/O+vSLJdnknja799WTmMlHZ1VojkjMnc00P9tP4mSfK5M/sohLeEcY1nSAU0/PbaACuHO/ruRUJ4696j6hUEbhJ+wNpdIcf4p6lRnHPHhF5J5cFUrH4J1eamaXN4lzKt1LxjRwv2gQIZZ2bTWVTch8F8GXjqbwCo/i80OnkmJV17Cy+Q4B/zphJIzN4IvdxRiujVZNbOJdKv75tpw6Rjsct82LstVdFyxOB5ByTy3U6uZ0KfWQW98IzhUJE5aJUmwdjCb2UNa1HRa+0EsqBWRGMAP+tj3OeGcX93ioaac4eTeWvnIxX6ml0hQnIj+xIUWU3RvSYKqFcWeZ3HFreQx4tLKahp/qkBbSS90p2iaIREe1d38h1vySYciB7DN871Nd7qannv+J6J8jIb3b/uRoyzOx/y3ecwf9FOo5Tb2YxZsa4qP/zRCO3lH4K+RyHTD/+k2SqvX8g8U252peZzzxLBdzeKBo6CgyHgFAu6Y5nqdAUkvEFy0Wz0kN874nXPBhLS6Vn+ILIbVl5PRlyyhM0avYIo2a26Eo+TlRO3S2OzP6rggZWvkjijE2lgAsXuBUfEf2++lVybz/XwL/Ue/EBPv+4qP7KF+8s6aZxcf1crtODe6mobw4WAo4kaxkrucbbHiRNzfsweaDnNPf29Ov8bfwJ3vdsLzXVjAOiRxJGzBaOoDe75hTX4OrbSfNdJ/i8z/2Z8/tWLNeloIq0N3647368WErxVfsq+WLOeSrv+qP8bVa2F2MvClTghRtIAxlzaex2CXylJQtodJ0RBlaKqJRrF5hYt4fQ4IhK4ly2CeU/P5Jjomrarp/O46GWEs7lqTpWSo0QVVFZwplNX+HLz6ntjATVHSTtRMZTr6hWM90isp3YKTBzRH5PQgrpvfyUqO7DyPvXO7n+oe7lg9VSU8xsp5nNM7NPO45zu5ntsYGoT+PgfbPM7K9mlm1mt7nuAMk7jvMJG6jeajOzAjP71Nu981cHKZRSxPntStHzxAQEd3EghVLQs77MkiH6S4VFk2v3e0W+whrR90dgb3QE8BtUe4a5uRQ+3mqBiCrOeeck07goe1F0rhYYEMdEe4t7G4SRKEL+35kpeoCt5z6qSrFaUeasKqxi+7hWMcO5R0tCOZdH7vFVuKnC6FTNNU/V0Pj5hEiGXCNKyS+MEgCHyfyGgwWMIiTup0JLIhlb+TOMBIRF8ts8Ar27oZH7nSqO5RQ+TGc7ab5xA+cyOZgGZU+RKBgQnfBuFtVU8YtI85lb+bxCv95ZiwWYodqLstMejEWU8RuU0aByMa4XOSBHRdl4y3pu7mU3c1EOPUx6nHANv6PjacrBKNFPSyn1LxTxHVeIMvkde2jEhSkjRFSlNrbSuk8VAYYZIpq2ViAXN+z1/Tt+FmVehIffH3vtKIzt/AnnGyJgNuYuEU2A99MJUlhKESI9YagvBc/yn3SddzLyIDLyJjP7keu6zziOk2JmdTYQsfmBmaW5rnun32/G2AAGz0IbgGt5xQZaOxSZ2W/NrMp13R+Kd/1vC4jvJkyYdm20L3iUKgWtF551UhiZPmc2CXfjJt/w+fh4CsLoZFEGm0LiaCkSimUelciqx+l5zRtGRlalu4cOUBlmxjOiowSX8ngnjeV7Hyuk932FMCZVT6gagW6s3rFKePiK3UaJHBCFUVH8DL93Y48HYzeO9VU4FSe5F/HC8+oSCNLRKTSKi45zjdv7qGxG5dCYWl1OhTE9gDSr8GJGCvBCV1TmBIaT51srqQxOVPI75gssk6OPiYabop/UiNniuGQ3jcIPiTL50vWcX2ImlX/BKUYid/q1OLktj8ZvxGjKj+4y0l1INmm7p5xrUnGYBnvKcO7j2ZMejDV20dBR7RQmZXKdOgWNBgqjq0jkC80R5f/b/srnpYYL3hBOZf5FoupzHeWFqpYMDedcgsM45q3jftR1+L4jN5V0d7qKBtxL4eSVKzpo1KjnhUTwG8JTORaccn4NYD2PvjaklsfO9KuHLEdnqDGCzM4zojOIjPy0mT3suu4zZmau61af8+9/tgHkZJ/Ldd3jjuO02UBvLGdwrHDwN0+Y2dfV+85tAVE8eblrfhGWuAkkviMbKFjGZVAQHN5E4T1njG/p5sYTFL6jWsm0Kd00LkIiRY5ONxk0vp9jVeVUuO5Zkf8gqi0e6uB3XdfJ+SWGUHgfOsYw8YoYUZY8jt/WsPn8vP7eTgrq8QK1V+GPJMdx7U8/KRKoswTKbCE9qI2HfPd3Ts75ddDOE6Xa5QUejOWM4H3RK0hTO39LpZwuwPcOBpG2jws4/KuFgVUuSnLnjOD3qqjM/Dvpaba+LlqhTBJJu8kULXteoYF+oSjPV3kmvX38jgMnSbfzrmF0cmqqL63UPce5NW3CkEXEkGafPMQ1XigizCoKGbEkB2PdR2n8JEfScFINYKNHUA5ENPC+0OE0Bk6K6uW27aIy0rhnysiOjaTB7x9ZMTNr66LBWitkw7SJAn15LCPKJ+4TzT/9kuhL/i6OqUQl4xc8pO0Ckb8YncpoUH0J1zgyjwZMzVbyyqomRqU+g5F/7fXerr1+59fbGjqDyMh/MbPjruv+6pzxtMH8HTOzq2wgCdkcx8k1s7LBZORsM8s3s2IzCzGzsY7jJLmuW2sDTT+Pv93746dxbMtLIslLlJeH5FA4TplNIn3mcd/IQqwITdYJKPRoL5m7vZ1MFd3I+5SH5hHhw3FfojKse4RJnbPLGAJPm0rGba/llic5NCRUa4euUirX+AQK5R96aVz8fISA9W/ib5cKXJXN4shsQZwAg2znmgacR8Syplx43zGcx+oqJs6qiO/1CV6M9RbQuJh5B9ep4gXuWXgDDeAMUSIzbCSNhrROKuHomfze4OM0ECqeIx8c8lIor7ice1u/g7/dHUYFmSvQklMKqTSm30Kl0fmYSA5/hkmmlX5LtXC4aIor4PprKrhO0/pJF3FppOOzZzwY2/cb/tYTLpC7BZr1WYFa7GmhUdPVSf4+c5DfkR1Gnn/pNI3xYaKlRN4YGkTqUk6AanlR0kg+aDhJeZsmZJI/qr2Z2f1/9l2DW2bynaEnBXiliGBmiuhVzWnSmDqqPLaBFVZPhpIHpqv6lfevd/U6n4jOPDO7zcwOO45zYHDsm2Z202CjTtcGDJmPDf7bfDP7uuM4PTZQjv7JN0rIHcf5bzPbPPhvJWZ2x9u9vPU4CdLjkPm6WyjQDz7nwVinaFqQ6JdOmZ9EhfFCMw2JceKc92Q9PYB0kXSbKQDvVLi/5yCNmodrqXAvCOTzjuyjgTB2PKNcvyzkccnK1VzjU0EUPjd+gArof3bwHaGLx2Fs53Yq9TGigaXCKVnVxP24ReRApFZyftk5vvtbX8koksobuHI0n9/dyslVHaIgXCXQse8Yw+ftaOZxXr/4flVlFzGShl7tTmH8pVCg73uYxsWUiTTOLvks6btzLY+C4qdSoM9YRZo6FsL7JkdSCVevFR3HBdje2R7u21I/rKemctJx8gi+MyiRa9cqyidCBApe7kRG9cLGc+3KnqOWS7ibqYtFlz2KsR5Rwp57EdfY+xzHjohGpAkCbXt4smrQiyE7dVw4WvHk5dP15IO8eC/GkmZxXZ7+K53IpblMGJ8yx5f/nEjKwV4RSZs8nEfz5cLAzJzCvVUtMCZ/Lg9jo9eyQ3xQski4G+Lr/Rydf/PV9qPbMcG9v6Unk5FIpVlYS6bqEImnoz2+zJw6gwZMZxkZr1wci+TN5zzO7qQi9Yju0+ebA3L2lAdjx/votV26gGiqKocoZiyG7IENNKam9nAu6toTQkUytZu/HTOFUZnQ4VyryvWUrBnXUlD3N1JZ9VZznWuP+M5vdxOjZsrgGr6Ezy/cQKNmi8O9WC4qrFTrAIX5kTOWgjV8OufctJHvWCUwgq6ZRgNL9VIKEg1gGwWQpGqpkHsNv23tQ9zb+eNIow8UiPYRaVRoil9CRG7HugpfWl6WTgNudxmPaHoE5pYaGx9Mnk/L5ZjC3bp0Ho1EBWDZXsH1LDpDw2nUaEbX9h7nEV9hiMAbEvydl0vaU4UPLxaJBPxUrnNfD78jWBzDvl5K+aOqbUcN5/dGT/els/JXON+kfNJsxMeuwFj/Ybakad9QjLEDh7jGfSLjMCeWdFHRRBmypPqJIbU8tqVdM2SGwFCjPpv9g1VX/5ZLuA+B4kSxQ+QYZEaJ7uWiuiL+U749lyp/yvYH+0S5o4JWbzjCeahLge+pHkQp06kcwooZpRjXSwZSRk3sVG7559dQMY8WqMU5QuipXJZbRKTi1yd55PHHYxTU3znNbzsrOv42/VXgyPR5MLb0en5InNeXLlIb6PFmjOJRzsE1NAaaBAtdlsRoy6sCU+M2gcB9+vc0/lqq6PE5Byjg/1DJNT4YQOOnZx8NidnB5BXl5c2/mTS/9UHS6MmHSd8T43jkUV/K3370Yq7Bd9Zw/eJckfclTlXi/WRImIfGUFQp5UyXUFRThtHr7xE5Jsq4yHVoSBRu92CstJfRtRFh3J9aE+CawwUMRgmV+uKvMdpQ+FNGj9WR2fjPUF7cUESjZvVLXIPpCaTbkhLy92kR5JggouCq6mpBsy/9hIveVL0Cb+noxzdjLH8l9+ywwMlSXe1zxZ5FJ/B5I2Io84b6+n8eR+fffR34HQkjLYlK/XgNFW5ulOhMKa7GP2zz+dt1KUCmp1B5RaVR2aocmKZakUjZ6cHYvCQK0c5D/Iane+k9fWY2Pd7XN1LQDKtjVOLDXTQcJ32Y37bvzzRMxk/muuw/wPd+ebEAgcunwOgto3AIEEdcHoG3kyAa/AUOp0B3j/qmhmWLnBoTx4jRIVyTYSLs3thARXVVvoCX/yWVd2ocja7yWkavdtdRE1wbzL39iMAGKa8iT9W7pNHp80mPRx8hDUzOZ+LoX4QCWjxMJMqOpKFjQaJRqji/+/hH+dOqx2gkVdX5KmalqI4L/KsJXaIEO1w4XqJrZEItf5uR5cVYRDqVcMwJ7s8hL+XbrjDO5QIv6aeynb9t+z7pMWcEee/ESRr3nduKMRaSRZofJehR9WNLFxWjn5pEi7VoK3+bJVrBJM3x3Y+KTcKhKBftcRScQhvXJEjIhnmTGJlU1ZyxCz0Y2/43Gqeiwcv71zu4zicZWbaAGPy3z9gAunGvmb3suu5X36wFhOM4EWb2pJkNt4FS8xdd15VVV+desaKXybNNVBAXi+qNylbRI0mAcT2/wTe83ySiGTeLZOeDuygwZ32MP3ZWU/iOSadXeWgHv2vGjRQg8/ZRYby6WTTQExU89e1UaKrhZNu9FCBnRY5OyGEKjLRIgQK8TWBMbuPQrStEwmEUlYZqrqhC6u2rmO8e4Ef1STO4F9tfOT/E3pN7eIR0NJB5IsPCvBhTkUl1jHb5tYyktTxJ1s1bynX/23oanRNcrmeR6JOVcYBGSK8CefzAdIx9ai1LbpoLOeeNh3i8fOENVHwfu4HfVvQX7luRqD4s8quKujqRhtnMxeSzh5+gooou4Hybe6lIKwO5nhE15KmgUAEdIAoals6nIp1ewHd8fi+//9cL+b1PiHYc3pN8b5E44mrYLYzYAM7vzwGM/HwmmsZPaCT3sb+dvFzaQ3pME0jihWt8+S8lk/SkIvuqh9ez4gj/ygv4rdX7ST9NorFt2TOMSpmd3ynA+9c/f72TFhApZnaFmU10XbfLcZw3tPRbtYD4heu6rzmOE2Jm6x3Hudh13dVv9fLUfAqCGxoEkm8JBXp2KIXjqQ0UXldd4/X5u34zQ4lF++jJBghF9azo0XKJUKTP7+HxwZXzeV7fvQ9D9lQ4DaJbu8jw41Z4MVa3n/OrEyjIE0WDzNRirp3KKVHRqgyR6KjW79hqCsfIUCqI5GzSRauIcoRN5POcWF+B9uQfcYvNTxCdpoUBPOljopXznwS684oxGPPu4fFYUp/oVL5bVPcFUOE+v5Y8cFE0PePDPaTlheE0pn7bQ0fh86I3k0VQQfhjU5lpoLXJ4iij7jXep7pI94p8obkTqIQajvnyWvInJ+Kenu1MEr1sGGmsopTHLFNmk1cmiXQ21ey2/CTX7rQwLjwFgqY85IvP1ZN+Tm8jrVycRqNdYdLkiaqw442kn6Zi7sWnRQVll5AXmdO4306ch/ftpdxXDX9ju32flzecxtVvNpNXvngd7wt4VuTWtZ4ffba4qsIVQzYilbw31JdIC/uPut5JC4iPmNlPXNftGvy3msH/ly0gBsdfG/zvbsdx9pkZ3Qq/69A+Rk3SYkiQi+bx6KazmlQVs4KRj1P3+T7vVA8F0rQ4CuRaUUGgTjp7mgRom7iv6hAFzdlm4RUJdNGs66jkq17m9qbdIrog/1agvTaIflXhjASosVCBsqt64dQIFGT1vFbRdFQZNQUi+bzsAUa1vH44RJcK5bjtML3WSSU0fpJm0hvrFdj3h37KI77WAEZ+5gtMnxNFPD7IFvkKTwYz4pbQ6MHYsmV8x4MiIviDiQLJdy95I+q3zG2IN5Es7ZAeY9JoEdScIV2oZrQqgnVkNdfq+k/7/n3yByyd8grjPDZUHE33cr837iStzBtDmuoVeRAJQXSqciNpAO+p5rpP7qZMyhjO324/wb2tKRNwGaJUOymY/LNgDr+tsUBUso2inK49TcPu+RdIK/HC4J88nAbBqDGkgRdX+8q4oJE0ai7eQP6pW6faoHDdx++msavycQ6JfnyhTaTtmRfxG96/3t3rnbSA+LmZLXAc50c2gOj3Zdd1dw/eJ1tAnPMcj5ldZgNNPtV7/hcZ+RueSXZ1ZI7Pv5c1M7KQ1Epi2SAqAZJ/T6XeFODrFSwXLQyC06iUnK209oMEGvGpE2TkUHHOmzJWEPwxDh1ppUJvfEhUTIykEHUbKQjbHXpFrc0UXMc6ue4T/Dq/m5ktm0tBeOR1rkGDSKaclUWD6EAjfzsjhEIpTBzVKTycPj/jsegow/1JDteuTyByl/2dyiY1jko5Ko7P21xOg3Bak6gkEn3cngkmPX41n+sevjgHY5UP8h2JfaTH0sMejO0NoYHZVUhloCKCL4hqqq1HaSRcIJyWteLoM7GCfDr1bkZrCr++y+fvnPmknY4SkRsWxDUpPsVoRqhAvW6pFjgwwkFLn09jSnUbj3hd9GuqJt+mLCaNTu/gbztbSAPbBGTDn7tJe0t3cQ0uHkWjuEkYU8HCcJoZSx4qaKCMC00gX3kPiorMPl9e6z5MB2X4dO5t+SHKtw9mkBYfKBdtiQSI4rIA7ndIOL9/x+M0/pbfjaF/6eVKF/0/5zpvQ2ewBcTTZvZ513WbHccJMrM4M5ttZjPM7AnHcfLcgWunmY17owWE4zirXdftHHxOkJk9amZ3u67LNH/zRUbeP+wK1x+3UXWRjrhmKsZSD5BI1dn5heN8mVT1n6kW3WkXT6SgDRnG+zzjaBCNOEMG3bWD4f4ucV4yO4uCq6WBQqX4NAVS9ynGkuZk8nnVlWT6GoFb0t0rYlPiiGfKB/i9Rx+kcba2kMbp1HAvxlSlS3IUFZgCc9vqh3Y6O1idm/M6KSJGCnOpT7RdCM+gYL3FJX2GxVMQKgX0oQgK744G0YphRzHG2tu5t4nCg94lciw+MEMkVW8j3ZYKgyC/j8Ze/hhGuo69zu+dKYoBio9yPzZ85RTGLvCLwnRVcI1LRfXgoQBhiArYgUBhJKqWMZtF5WFaO2kgcBIjMP2bCzG20bg/jU9TNg7PEEjTgm+vvpV8MPlx4Rj2kW/LRO5SfByfJ4qTrKWJsislWPSBEzmRkYGk20kLfXmj5jANx+RxfH7aqPMrXukTR+4jp/CIWDkKcQJWZG8FI0TvX+/u9U+3gDCzs2b2jDsAxLPLcZx+M0s0s/+lMr8WEHsGh+81swLXdX99Pu/e109mvmIShe2ffkihlC24qkzkfYVk+g56RIlzeI9ImBPdeWtep5JLWULjp18Ii0wBlFbaRq/tTBmVyJQb+bxVj5PBL7qQRk1vAz/EqRIdih0K+ZgYvvf7uxkq/kEO1zQrx4uxcQswZEceZOQnSpRkBodxbEsBlUu238YV9pLG5gp8l/ojFMiB4kgl7RP5GDv8Iyo0pUizirgXqwWKbUa9B2M5AV6+dweNhuRg7ll0IBXa5H6O1R7nnENEJK2tV+SZiP1RCnLcUh5RHFpPQ0RV63zyMlrZz/uVv6e28ncxooXB9C5+V3IGeWBvGeknT0R0DouS6UvnM3er5O5ijIVFUK58/IeMkHnv3YGx8mIq0tQMrkHR45SXOUu5Ln95lc9T4L43RzN67LmdEbfwhw5h7EgBo4QZUaK3WRvnEnPAl0brWkizXXtJn7UdvK9AAFp+9lKRxvA6NzchmfPtF07QlKDzM7D+lVf/extO7x1fbwsYONgC4u9m1uC67ufPGf+4maW7rvtdx3FGmdl6G6iKyzHfFhDbbSBhuc5xnB+a2Rgzu851Fb4mr6qFizHBUBr2Vn2QRJqYy2OL0mMejHm7fYk0NUqASUXTU4qfRaG65TkaId5ACpCsfoGFM4Nea10Bvys+i15Br+juHD3Hg7FtD5AhVfXPrNtFWfKLoqt7BJXhuhoaOitHMPqljvQyUygcI0TJdW0pDcCYeHppCtq/rcPXcBq5nALp1Foqr/H3XYCxn358J8ZmdJK0S0JIA0m9XPcLRTuF7mKuu0IC/0UFGeMLSYz8qH5sEeNJZ+1HyQeRM2lwBCR6MFbzMJ0RVXYfHSUAMesZcRozlryhetKp3LdZfhHL2irSzp8DSSe3CUMnfzr3Z9tuRmAWLKJD8Q0RKf6kwOJSYIv9TbyvaC2NqZEfEEr9MHOydogo3BjRo25vDQ2OYKEzpmQSiiA8TjiHPVT0UQv4jkfup3MjqvhtWgjlRfYSX5pq3M8fPl5PGRUhNNL4bspplbsVGyt6kaXytwVHKPPGLmFU2PPwhiE9S9qYct2QmTqLq58c8nOy8zF05pvZFjM7bP+XnP1NM1tnA3k4k82s2wZydDY4jnObDTTrfKMFxPdd133OcZxMMyszsxNm9gYF/M513fve6v0vp9yECU4fKxKPRW7D1ioSs6r0uXiB7/NObqGXGShQYsf9hG0N+suo0FffTYZPcckEkcFU6Aq07YioNFiWyTVRxzt/94qKrUgK75AIzrmgjEw6VWCtBHq4FwGJNBz+8JiIaPRwf2L7qHDaA/htMf28b59ICLwpwVcJ9Qoo/WLR3bksiN913R3cx98+RKV5g4fr1NXB5wWJTs4qR0mBVU74sCgPflAYK1Gcsz/WjJlZ3kgqvrJCkYAv8s3GfIDfVvgwjZrcKzFkJS/weSqCl3gxDaKq52m0+rdlSRP5XT19pIHEeIHLJCJ4wSLvQvVdq67lGo9ZSkXdU0feKz3iwZiSDQX9zPcYI8AgE1O5TuGJ/I4N+2hMToxlxE1VHQ1byHUOTOD8ip7hfld0CDR5kbIQF0M+8Db7lZcn8/sjEkTPw1OMkE3p4zfkil5fa4/zt1d/gfz48G/43suFE5iyceOQGgMbUq4fMkNnqFGfzf5/0ALCe8MFmOC+jfSMpq0g8VXvobA93eDB2MI7fIlv899IoCpZa1IOldcOAV1+0e1kRrdNeOlnKFiP7eW3lgaICoc+GknzvkZF0FdKT7PwWX5bUKBobNrGo7A00VlcJd4eLaKB1SPWdPoYep+HjjNSoZJd9xyjZz1nLg3Ao9t913TSpVQ2v1jP+V7tUmCGhVIptYgqseQU/jZuijBiV4kGnmmcX0kFDY5Jy6mATqxnaD8nn7wSKKrkVdQoMITywhENDStO873R0aSLCmFgvRLGyXxBVDG9dkDkc4lydX/jZGMt6cnTR3pfdiv58alHOd+LR1JRbRH5OBdM5X2tlZRRUWnk5ZcPUJEO6+V6Tl7C7z+2kVHmDgHAmJPkxViDqKAcczOG7OzznEtpE2l5pIgabRP7sUwAbEbN5333iM7kV0T5RjErRFPcmFDRA2+6OEIS+YYtZ2jEqsTwYGEUl7aLBHKRjzT97HPvGzrv4vWeN3ROj70QE4xKFALzDAVr/ofIpA/dRyKdZr7KOkR41dt7+fxLBBbFtrOMIk3xkLnjFUpsPoVo10kBKFZPIfXjOh4pfCuFQk8lu7ZUUFjsEiHrvAB6N5sC6XndMY5CKjCKtF28k2vqEQmMqjPw6lqB+txNo2P+Sq59b52vYVt3igZcxk1cz4K/iETUAM7tdwJl+H8m8OglMIJSVGF0qJLu4wLkcVEEDZ2OTtESYIwXYyrf7MARGu0TBQryk2docFw/QvTTOsbv+FMYlfq9l5K/Dz9LXo4J532Zc0QCrF8SvepPVtNNGpg+mfzd0yaaBxdQAU8dz9+GpFL2nN3O74qIpNcfk8lv3b6fhv2UbDpfoTGC50VbkcO1jBwqXKJ7RM+upaKXXUigyHFKJQ+pK24mZdKBZyhrAkU0cbtfRaJIi7FUQe8LErl26oqfSB59ZR3lUb0o3rj9OhpTbfs4NtQRnfUpNwyZIbC0+vH3Xq+rN0NGdhzncTN7I+vSY2Ze13UnO46z3Mx+YmYhNnCk9RXXdTcMPivEzH5nZosHn/Ut13Wffqv3q+oAFRZWoefWTfTms3sEkJlf6Dl9DAlvUSGZdnM5nzUhlN73MQGwdeGXyBj9Z6gc6kv43tAwcunnQhhZ2StAFPcKbKEvLaDyClyHIdsbQEFzuTj2euUgvc/cfgrCHhF6z/8of3vgh1Qac8U6Vxnnt/UlkcQa5qsMc5dQOd5zH+d2hTjyUSCCY0VvrvYqstoT1SJPoot7GybgvJTwrm+m0pTtUg4yStgmwM0iRFl7zKW5GMu5S6CXn+Y+Lhf5QisaOZfDzwrUa6HQVE7Wy69R+bf77dESj0Aq/xITyEt/ShpTKN3KqKkqZBQh1bgX6kguKJTrXnyYEbyccPK8qr6sKqfRoAz0miASs3+hhpnZZ5L5vQFh3LNnXqEB2Cfyo9SV8IzopB5OIylERFRXmi8/Z6zk93cc9GKsrZb3Pd3Abyjdwnd+VkQStwjabtnFb3D7/7NLu98L1z+NjOy67g1v3OA4zi/N7A2pUGdml7muW+E4zngzW2MDAINmZt8ysxrXdUc5jhNgZrQA/C7VZfYPh+hRjBC/DSn0YGzmXMWkvgzecprLEizwcZbkCdwS0englR1UfBN+fRRjzQK7JjOfSviRkwJVWcDaj+yjoJ4/msJxl0DUvfA6Jsg9IRKt+/soHIeJROu4SColhar8p596MXZtJsei8ygIQw9SAPWI/Bt/Bbl/Fb9rTgDnGyn6Ru05zbVbFEqFVljKdwx3+A3TxoiquC6ucV4Hv+toJT3y6BZ67rtEd/nrhPK6TzSybbiLezs+npGkMFEVpvZCdRL/n1oap58S0cSNlTQUhwuDeliGLy0rY6DzpV0Yq/NyPc1LY3rCFO735lPk+TtElKLhadLZ77yklZ99jWty+Mekldw8zmXYEn6H66XCjX6ZBuADIlKxOIhypVfIAWHb20cECKUCVG1rIN0GCwcvKIQ8dKDQzzh5SSCQs9jN2ou4Px+cxvmqq6WEBqFKnn5K9IAb1sNvYB/1f+31n46M/A8fXTmO87wNJBG/Ovi3Y2alZrbEdd0Cv3sdGzB80gfbRJSZ2WjXdc8bCnJzKrPBJywgQwbGkzFOvkQPV5W9Dkv2ZQTVM6mwnMLnRAgZY0IPBW2G8KpfFknBd1zGY5bWQ6J7rgiVTxpLhfG08KqnieS6ImPY/oIRNOICQ0krtUX00F7tofeZIZKMVULtWZdzyQuiceYIJ6ipS1RqiEjA8FG+3ld/Lx/W7uWzPNnci8hrZ2Cs7BdHMBYRQyNJlZo+Vkvl/fFlDKkffpmKdPKH+LyyJ0XlocidGJ1FnopMEfF9cQVn0nDoq6NBtH8raX54Bo2kXZWk74Wjmd9y6BiV8NxPkb+dWN8j4cbHiLVTfEa0NRBRLk8Aj9qyc0TVzIUin+SvNPQ+vIh8++hG0sClqeIoTFTPqdygbGEk5o7nuocOp7x0RYRR5a8t6OB9NQKz7JJ53Mey3TyyPyuSkcemidb04gqN8p2L6mHV0C6wdQS46KsdpItpvZRbESGki7Rcyn1Va/xQMR33L5c+NKRhnleH8Ohq+Xvx6Orcyw8Z+Y1rgZlV+xs5g9c1ZrZ/0MjxDI79wHGcxWZWaGafdl0XUvxcZOS7ZubbHSN8w9HHNtC7SYglM6uqBAUq53827d8E0MxsilFw334rCb52FYk7PJZMcKSFz9v4jAdjE9OpgGoCuW1/LaJREybIKT2D3k1iBxn8cyWcy4J+GjWXxlMJ37mAQrRsNSej9mecaNJX20JBpXCDHntKdPSeI1Cus3wVfddJrknxGX6rqkTb/016fPO+y/ji2h9wTeKNdCHSOOw5cQQwOYxzblhL2k6dQfnlKeN9jwph++GZVCwBiTSwVGWXaH9l0y/3YqzPyzUdVkW+2nCS81shEMzLH6UCe8jvcR9PF6jk8YxwTFxGRb1BNPocnSzQbv9IjTYsgHKl4ZBoAixUjvJHjx4XBsdYrkmFiGyr48uUUjoU7cIg8IpWETMv4tHNcYG3c2QLo0sVAoz1wiVMO3h1I48ls4Sz1O93PJ+eQpmsoskPdXsw9mWB8t5VLQAib56CsaP/XYyx9GHk2zvGnF/U6F95/acjI593RGcQGXmTmf3oHNBAcxznj2Z22nXdX/rdP87MXjCzFa7rFjqO8waY4LWu6z7tOM4XzWyK67q3vdV7y+cswQRrK6iE1rsUQBO7qEhCxXHByBG+TNohStXXN1KoJPTyWTOyqPgLSmmY1QfwHXOGiUZ7tfSymjsoGJr7+bx8UeGwrp5Kc5oAAgwXSaJpM2lctAls6wKBMlsYzDlfKYAfHVH9E5zNvXXbaCj2VHHsm4e5b7+60/clv/4L33mHOFJprOZebBfC8ULhfT9RQy9d5TfFplJwdzRyUf4m6PErtzJq9Njfue6X5lEZPiMSim+cyv35mmhM+cvlIl9qKxX4Q6Kz+B3RNOSDw2g4tHr5HZXNlAN5aYyulFZ5fO/JJl8oPkufQL4o3ufBWNZoL8YUXkz4SHF0tZvyV0X6ymvJA5NvJL03bafR2dtF61lhGp3ppnU6Po4GekUDIzAFgr+vEcc+B3ZQ/nSL0qYQcZgyKof8EhzO+xr8WqsodHR1HKzWSVXoqXYXquVH3HDKy/LDIndrOA2x5PWbhtTyWJty45BFdFZUP/berLoaREZ+yczWuK77q3PGg8ys3Mymua579pzxTDPbYGYfdF339cExx8xazSzadd3+wSTnV1zXJRjNOVfLxy/CBLtKqAxUUqjorWirjjDyMdbx9WRUot4p0cn5wsUCvj2OBF+7RfRgutKDsbqXKVSOlNPz2kwny7JEMvbYbiq+9Fh6ba+3MzwbI2Dtq1UVwQoado+uoXC4SpSLlpzgexMTOT+FN1PRxP2Y9Vmx9k/S6Ojt9iWWmkY+yxNBIZXz5TyMdW/mMdW+DdyzYGFg7xG5MleJCFlBpdgfgWSclk6D46TAPioUaK/Ngn/md5PPkgWcQNIsYZicEMe/Z2joZCRSyK8SLS+Gi4o61X5DHQ2sbfF93vxArlOH6FX0a3GE/RmRZxQWxLmNvIprcnY1n7db8N5Fo8krrjB+VFPcrLk0dHato3HaKHCoLvsijZW7f0cZ8pHxnJ9qd5Azg+tcvp+81tguchMFcOjJKtLPuGE0lP0dyzEjeU/RaT4rWiB39/WTMSq7KIAXfYYRooI/k7aP9tDQmZtEns89+OqQGgOvDKGhc9G/wdA5n6orx8z+YmbHzzVyBq9lZnbCz8jxmNnLZvaNN4wcMzPXdV3HcV60gYqrDWa21GTLSt9r/3Nk5qm3kiE/JMAW711Ij2zl9LdPhmup4fMvu5PCt3s/31n4MgVmVSdDuEGryXyq9/ns6TSm5oiox8N7aMC1iG7R3lYKlRs/KFoniDL8cSFcT1XVdPlIhnvvKmTuwAIREWsTGYwnhbd4lRC2RfdRiMSKRoD9fp7bmLn08EMmMALTd5hdrwOT6AUrZO27+uhB/3wW1+n1jcw7yRLVNTEeGmJRWVS400RftB6BipsaQqMmLpmecMwwKj4z0nxNOfm2UKAPt9RS0V+RReM0LPb8UHZrSvneej/HJVJUToX28vljRH5GnwD6TBLge4XPky5clzy1KIX701wpej+JY7S+M/z+3esop8qDyFNXzSftPXA3efQGYXgrbJnUYVTqIZP4vJxsypDMcvLf/dv52/HiqLfsrAdj/lE9Fb1Rx2Vd3Vz3C7Ipf58XJwoTnifNtotob5agH5Xa8P717l7/NDKy67qrHMf5m5ntcF33nnPu/7aZfcPMzs3ZWeG6bs1gS4gHbaAcvdYGIj6lb/X+wvHE0YnNEq0IxlMolT5DgeZJofDubvcVBN5GWuy1nRzrE4ZJi/CU0gVxZ2czenNfFRXQ1Q4FSPYi0RjuFRocKooQLBCe2/ooRDuFNIs0KoMpF/E7Gg4IL6iGRkh0GPdHNdY7KfIJuly+Qx0Hqk7q+N1xCj2F3VNaQ4O1TfgKS+4ezfv+ugFjqilldQ/pbEScF2P7mknvU2O4F6q0tnGT6BkkjlePiWT7ZeF8h0puDhd5HB6Be9PYQeXSI/ZWgdkFCFDL5JUejFmo73eU/J3PSsrjmgTSNrXCPVz3OJEfmLKEcsC7Uyi5eK5TxIWjMPbiz/mONJf8k5kkjhEFKOOE6ziXXaKL9pTZNMTW7OYx57RYUUjRSr5SRQQ5szjnh3fwHbcKXj62mfvR60c/ip6y4vnONgH0eVpE8oeL4oiDoifjCNHPsFsYuxmxNP5Gn1r1fkTnXbze84CBJ0ZdggnGZdBj3iL63kwR2Abhovqls8VXQfb2ivNbEbLe0E1FdW0u8x8qRVM91ePnjCjJnX0Dv1Xlp3gPUujHihLK7iqB0zKOiqq7gAZHUykFQVg0vZGAINKUt4pao6GFSt0VCcoNImKQG0HhcLyD6zw6jN9R65dgOXEyvda6MxT6Knci5ytMPC7+OSM/uT+ehbH6X27EWGMN31vezrEZM+lBho4XiZ7PkX4ea6dR88UbGdG5/xHu2UeeuBRjBTc/grGENCqDjmYaTorXDjeJzudiH3NEDW7NOvL3j1t9ldCtHdzHmV/zYOzRX3FNbvwwj6TqXmB09nQ513jsSIJGdrXSUO5sFy1UhFGnIC9SPjUeY8U/ZZXZ9i7KrnJh3M/rpLyY8106Hut/QENn/jzS6O6tjFjOXEz+q9xH2dDcRqM4fwGPLw9s9OWD1FjygALSbBfHlwoWo6aVfBEuwBEDRFa5aiVU2kP+vrLqkSE1BlYNoaFzyXvx6OrffXlS6ck8VMhjmkui6GmqHjwKQ6PGDxsjKYbvrGsjcV+Vy7BmXw8Fd7BAWlYVPKvbuf8RT3C+aUkU5s82MRqUXS6qS0R0aVIejYanBOhfmYA0v6CG3zY6j4I/Ywl/G7HHi7Ef1FHJfTeJCiI0huvXcJTCsaiDnpa/vRKcLNjgDIei42mcnvhRMcaGjaWSP/T5AxjLX6Dok+u5S4CxJezjOlXtpiERJkqkr46kN7vnb1y7FXECrv/KZzH2fDgF9Ueq+G1n2rkXmaLvVFEI+aCni8Z4Xgq/LSyaR5pj/PCpAh3uY9MzNE6bA3h8cuRe8s8xR5S5i7VTV9wE8kXZ65Qh20UujwI+/OWPyCufnEh6nHVUHPsJGTd1GZ3FvuOUFwuXc13u2sz1my36nJ8QvQVHTOL6pYqK2e460tnEub5r8EfRrytAhJbSRMVjaS+du7xA0Q5IAZi2cz1HD+N6RjS9f3T1r77O5+jqzZCRJ5vZPWYWZgOggp90XXfX2yAjTzOzv5lZuJmtMrPPuW8zgdLpS/HvxWfJ9FkpXozFT+Wjmw5zzP955QFUGCumiUjNUZEMuIhCtPnI+VVWNDVQ2WRfQI+i4FWGU1UCdfpwL8Z2HWeJZqjYAoWrEhxGoawq1NQRj7rGT6ZQbqni2itQMGVQJt+ajbGjd1FghoX4Gklr+jhfkf5ht6fTsA0KFXPr5o/DUnifAhmrqSZNDZ9JI75oN5VDYw+FclIY6SclSyDMxor5CUTduCmklbJNNMYVYm3Wl8ZibNO3uKYK1HP7NtJtbhSjPCrKujjY6/O3J4kKU3W5/1snn3V1D9dz1DLRI0kkRatSctUMM2UKZUjFLirNs62kFdVLqqKa9D1+OSMh7Wc46YLTjBJWitLIaXFU4AljaPyo/J7XtnBvl17IKM+qV2lQxomGvyXBvmu6OIprcqaRa6JA8xQquUoJSBPwBCqRuU4ATk75Avcx4mv3D2nUQzXP/lddl1Y/+t47unIcJ83M0s5FRjazK83s12Z2l+u6qx3HucTMvuq67mLHcabYAK7O/yIju66bMfisXWb2OTPbYQOGzt2u665+q/dXzGVTzzqRDBaiwrgTKNBaS0X7CL8u3yo/Y30dK4mE3rdRDsOk4aG02Ff1eTB2eSgV2hbhyc0Opvcg++OkUWCuPcpIzQjjOo29nnM+/DgF3BmHxlmqaDA6ZjiNmlOFFKKJIlRc0kZBkB7KOY+4hIK1v4Nz8e91NOISrlNXEccCBXr9k7u5njH9wnAU5/qqkm+FyENQOUQqIvisKGFfGuTF2IFOD8aUwogWeTZTRQn76Sf5vao7dlU5ozJpWTQSlPEcnSLAGqd5MLbrQa7ViCxfReeZQhmw+wUaNUqhTfskeeDwPaTZIHFEoZwRFXW+T/DUD+eQfyr3CNC70ZQ/zaWcs6pgyonlXiRkiw7ugg+cAHHkfJJ78UgLeX65MB5Vyw917DNsvBdjx/f7Hq0VBtIQX5ZJA/tsmQdjUSKPsLqNxkpeKmX3M43UGTdm8L3PnqWh9+myoQUM/E83dN726Mp13Uozqxz87xbHcY7bQEsH18zekFyxZlYxeM/+c35+1MzCHMcJtYF2DzGu6243M3Mc5wEbMJje0tA55A/nbWazl9Da7xCYS26v8D5Flv7omb7eSFAiBcOM9TQugoOpHJ7vpmGyrJtC/5O3UFFXvEBG9ogy7z4ROk2cQqVUf4CCZuVSestrBcx772P0RlTfpO4a0ZhSuG0VpfSgYkMpRArbqQzHJdAjO1vP+yo28nnJ47hH/hGdw8+LRMIxVKzbRCXIhamkxcRl9L5/8yS1wwfF0adCDw4SQr+xQeRxcMhK2/jesaJ6LjVHREeK+b3PPUUj4YupVMIR6Vz3k2Wcy+jFfF7AFiqN8tMejFUe4zo/FU4a+C+/PKBjL3MeVQLFd+WFTMR96F7yysJI0kpdC+dWa5QruSE0JL6VxfUs2kp6b+7m89YfoPwZ300HIFIYsfd28x2fraWjENHPNQ4QXe1famYuz5WitD9F9BY8cZR8kBzJtVINiZM9vvflCSygrcUCffoWyunOw+SVpC7eV1tKmposcNyCBEaU6ls31Nd/erutd4KM/HkzW+M4zi9sICA5V/zkXGTkDDM79/znrP1fDyz/9/wvMvKHYmfa0gjfhE+FkDlSCG8Txs/YhaLDc7mvINywi0xWJTBkkrrI3J9YRkOiq4JC5U+PMhLwkeX8hpcFnMIFoyks6vbTa6muJ/PVruecu8R5dWEAn3fQK0CxRPRrcR4VuMKtiBSGTrQAP1LhXpX8pyqMzr4gKuP8ABeV931fEc/1PzSK0Zb/KaUh/rXXeez3MQEqV1vE71JGTXq8SMQVEZ2DoqN7sPF5naINSuwyfsfKQu7jxV6u+yv7ScvHqrmmH4jl8UbDq1QG+89SCS25kbxR8DgN6l9O4jt6/fRSistn9deQTjqLObfcHq570gQq4MRejtUfprgbeYNARo4fhrGORyhXInvIPyl9fG9fMN9xSjgUV3XyeeVVotXIpVyrjfeJprDC8E4cRiOh6DhlQ1kAnbRRqeQr1b5lR62v/J7U48U9l32NsrHtZaYnCIQOi76SDWA3/IzflS8aLaso5J1jzi+f6/3rn7/O29AZREZ+2sw+77pus+M4PzSzLwyiHF9vA1g7y865f5yZ/dTMVrwxJB4rw2Wu695rZveambX//E7c88ffkiGXz6bwevJ1CpY8D72bym2+CnyhgFHffpTPmpFH4fPqOhph6UaPb6bLsd+vo7L53GeovNvWYsjWeek93XgRPdK/rqcy/OACKrTHN/E77viS6BnzKDt/PFzKtcoQYfsp4vipukcgRiczn+BUJYXjngephMdN9GIstMZXgYVGUnnd0k56Kivk8cb/3MCw+7pHuMbj4ynMGoTXP+0jZJNfP8Bw/4x6fusXbqJBpFo27P4tjZBNf8KQTR/Pd9ScYfSrU+RdfCiaBsdR0axzQijvGyaiHNbLuczJIH0r5OJDfqW/V8wmf6+r5zFQWgN5r0eIsbZq0mxEAo2kJVeQBoqf5m8zZxFxIzBYdHQXgIaRSXyvynubFMG5tLfxvq4evre3QvSeM9JoljAKV4ko4YoMytHMAC/GCk/xHaofWXOw7x7JKqn7Cem+p4bOjQJJnXeUdLdegHBePI8y5MVHaMSPCyHfTsTIv/bqf78FhEZGdhynycw8g0CAjpk1ue5AH4Y3QUZOM7PXXNcdPfj3TWa22HXdj73Vux9OvxUTnJ9KQqusoofykkCeHSWSWKeGet9qCmZm1i9ie8PmCIYP4vOf30DinhBIJmjsEnguwhYcO56h7d1HaJioHAsFf/9gFX87potCtDmQ3xbVx/t2hnHOV4nweXYeDZifn6Wxd4NAeA4NFj2SJjPSFX71HIx1b9zj83dgIpX35gdEKb1ITJx5hwCyq+PeqkaIV4vIQkMnaVahWR9r9mBsUiL3dkeDOD74OPen8jFRXSOSKZPyaZzed4ARnXRRSHL5xTzmU7AIIRE0ao6eJF2EOLxvWLoXY431voruIYcG+6c9qr0An6+OPCIEHHOr6GuVIY58pn+ZhuiBX5Iv4qJoUDeJcusxS8kDrae53yFR/LZy0XE9LY/PEykvFjKMg/U7RJ6SMM6Kynjc5l85ZWYWEMY1PbGJzkdaqq/hEJvPb927gfw4/RLyz/5VfP6YMYws3XeGBtyn5tOAe2gzZW12D+d3WdXQ5rE8n3rzkOXoXDHEpfNm7wwZucLMFpnZRjNbYoMAgW+BjFzpOE6L4zizbeDo63Yz++3bvX9SmBdjrjA6WgTo3SdFv6KwJFFdUub721810HP4mDBM7hcRo5tFH6HL5nKsv5N0lb+MwDeHf0qGPyNCvfMv4n3Vu7gmsbPo3UQ8hyGLdsl89aLPxmwR1bro6uEYW/8LvmOkqPRZdJrv2BLCOc8V7Qme3UuFe/PVfO8rfk0yVdVZszBYR7mivPWEqOq6dCrGJq7i/iiFPiyBiiU6mUZiVysFcIfAX5kSTqXZ8ToNpx1ert2lotN0cA6V0kfDRKf7FBoTjtjHwGDyVVgG+XtCMJ2btjrRrV7kQNT7gX1+OJZrHD9DlLRX8Fk5ov2MP0CdmVlaAA3gIw6PS/JfYlm7Gfk7UEA7KEehq4L3BQgHJWwk9yLDuC4nDtNQHj2Bir72dQxZomgo21HINVVX6T4aXTExjIJ3itY30Vm+VvYO4WgqsNe9q0jbM27ifr/0BOX+JaLY4MRrHox98DOcb92TpO2hvt7baHrv/PqnkZHNrNnMfmMDxlKnDZSX730bZOTp9n/l5avN7DNvV15eu3wR/v3pExTKo4TXny1QQiM8vK++wlcoq4TYKKH483PI8MpTUgJZlZUqAy7rdjLfut9RmPWIPJuYfs4lLYLHAqqTb1UfPbRxSVTq6jtikykcjhdQYMaFUoHnzmMYt6eO33v0ED2yUcPplatWBHEJvgaLKunOnchcrpP7+Q0ZqaSxzaIR4Bjjuit8JVWZs7+bQv9y0WdNVb6c2UyDY5NogHvnSnG0toNhmagMjoVNo5d64B6RiClyoZr6yBvxwVRo24WRcP1wGmKqtP/XFb5HiZ9OpNFZdpaGY04uaSAind/giOONb+wkrXxO5Gy0iz5uIaLIIVq0/FgtcrJuuUyUlxOUWyJrX3wBnRbVtFddSu6p/oNVBeS12ATKi1WVAiVedPluqyX9+GsU1WJBgbgmpdHojplI+da4lzTgHzU0o5wx0ycP4y7nfdH3vDKkUY/nhjCiM9RgiGb/P0BGPpB9OSaYPoLK5ewpD8ZUV+HQPCrwtS/4RnAumE4BGhDGvXlmO890x/SRaRMERHxUHJX8HyqF4BJVCn/rI7Mo4V0gGjoqKP0jdfQgl4njjX1CeSlI8+QIAQIngPvmz2AkoK2SguVsuQdjyoseM4Fr0C8auz7iBziZKqrzMvtFpUowv19B2u8TcPBzReuEHpH/0CBaIkycze+qO8Wckv4+rklrOxVB+jDSVMwCKvqaVVTMycs5v3WP0AhZej0N1oJn+b1rArhWn72Va9+yhU5FYCj3bZtI+M0N81Vg6fmcm4CGsdUiQhgs5GWmAOFM9NCwLW0k3wYKXzo+jEZNUjr3ormOe6GOsyJCSLcpucKhaOf+HCumQ5GfQYfCEQa6kj9R59mMVuEapc3kujwijoIuS/U12HaepVyd6KFB2NhEY6Wtj/KoMpDEUhTM7782hBG3sAh+vzLEUjdvHFJj4JkhNHSufi8eXf27r9AQaqonTlEA+YOCmWmvP/IYnxflF/koEqiz8XFU3stT6QGVCM+wTST5HRAw91+7XAgQkYR40wui2eJIehmjHD4vOo/3jTlEJdxXKQS6AL2LTBQozSdFh3iRkB02kfvTVCwiJCFU6gvF0VXkNZMxduC/abTeONzXwAoUoH/RN8/AWM3vD2CsvpYRE9UmoOZZEQkRTQpbu4SHKvCaqkXH9bHTBMhjCefyqbP87Tcf4n6PnM/5nX6ailRW7T0vAB3T6TFf3UT62XIfve26QDoV0f1cmIkpXAP/RqRNxVSiMZk0VkYKfKnRy0ifAbF83pqnyd8bwrmeP79dVV0xmlH1F0J1qwiwwp/JmCDaoJxUTUcxZNNEq5F9u2g4TJvL45dxEczJ6hbGVGUF97teRPp+sJXr/KcrKLsad/j+rVoBFdd6MDZ5Jr/hxG5G5oLEQk3tJC2e7uJ3LbkFQ/bqPdzHK3nb+9c7uN4JMvIkG0BGjjKzYjO7ZbAaK8HMnjKzGWb2N9d1Py2e+YKZ5bmuy8YsfteW1GsxwSxxXKDKIM+IEulTAu/hpmBfy1sJkMhYCsIXReh4UZA4/0+ldxeRScZQCKHpAaIxXD+FRaeIrLxM+8C+O46Cy1vCdWr08seFfRSO0eJ4bMIwKpvITBqY6hz+QC+93muuE/u9iu99XYArdgnfYb5flCxI9BFSnlfiTNLOkVXCSxfKJleUkHY0ik73IrStvMqJU6lEXt8vqgzDaVy80M933CHy2dT1WDlpdH4vDQIlVUbNEGW04njjyHYawDN+nIuxpvt3YSyUp4ZWfdDXU1dNSNvFOcsFAp1X5b11ib5J9e3kqQfCuSpfDqTBHi96+TVWMtpwoI1OVX6giMIJA3NjGfdx2Qg6BVsLSFOZDud8wuH8RvXzvo5+0rKqZKsL5H0zBTxB6lxx/Jvnayj+9M+8545oyqinmkl318YwmqrywLo7OF8FBnmihjKqR9DeUCfsPpV2y5BFdK6tfPg9GdHpNbMvnYuM7DjOq2Z2n5l92XXdTY7j3GlmXzGz79hAvs53zGz84P98LsdxrjYzcuObXEIOSlTYVWH0AL5xnQDjepJeQWu779jIhV7c85zo2xIqtmtbD5X3LQspCHtLGdacmS0SLkUIt9pLj3zqVIHfs5/CTBk1RcK7qRYAaqKK1q5NpPB5rYIeaehZ8tGikTy6cguphAqf5UIf76GQv+EDFKzP/Z0G2xOBvsclI0R99PA2Gph/XU8a+/xkfkPpEQ/G9h3hmoSIKq7kSBoN+bNIK7s30MiekMy92FdHj/TCQPJFTwcN5cNVPHr48MWk0YBo0lTzbn6HI3pYBSVxf44Hkean7D2CseLTVBrNJ7lHIX79lSaNFbzSQlFYv080PxKXAg6ddg1F3MkXeETsFVhcCcJYiU0ibU8VGFZKNsS2CcYVV4lYz2UiF+yb20lTnw4kjSYIzJyQRNJA/VHu9zCR+7eulfSY8bKIZPtBGzQZZUqNwBi7OYvf2lBN566uhjQbFkAaaO7nuqeGcB/z5osWIu9f7+r1TpCR881s8+Btr5rZGjP7juu6bWa21XEctHUexOL5og2AAT5xPhNUaKKvl9Po+MaNFKxfeZyE9t/DKeS6W30F2obXqJRu+M1IjG357HGMzbqInkLxk2SMYcv5XaeLyZCrwrlF1wVSCdeeJkOmivtUt+ipImSrju/Gi3Je1Z9rRoRqsIohi5pJozD3JCNnzX0UhNNE08TuExQi85K4zq0Nvm7/GFFNlTuOzydMmFnFce5Zj6gEmTic0QH/1iNmZmGiWeneDQxTTJ0ujOJq0soFU0XlVCrXZPUqerPxArwxMJnf+5nHubl3X0Ja+eXLIgFWwP9fInBV1j/FNVC4NN69omot23cuTYX8/tpaKj7lkbf3UqakeKjQu0tIU/F9/P5xy7wY6yzjeoYmUKHvLfJgLCOY713VRMPklhlM7P2TgAkYE8Fo0Ad7GO1UyMh7j1GOThZ8UNnAPK3EaH6HukZ7aGD550LNDSCfvRRK43yuyEdqFJGly68h3RW+TLqYcDEdiu3PejCWdJr0w7v+tdd7O1P3nV/vBBn5iJldbmbPm9l1ZkYu4fUDM/ulmTj89n3P/yIj/3LsSLs905dheg/xvP7hhxk6/W4OvW2VcBee6CsIVywWFQ6fO4mxo6Kr9JxYKv62TgrWnc/RMJmxRJQgbxReaz+fFyrAuYaNpBD4lcAB+arYjqeCKQimdony8jTRAuFyCtayR8Tx00vMzwgP5JqGiOqk5Kn87YObSYK1wuu9qNdXuWaPpGFWJSJLh0X1k4JvXyyOgVR/tq4esl9LOQWm6hPW2cB1Us1PlfETm8j7ZiTSQD9by+9t3MB9vGsWn1fyCun79hi+Q4EIDo8nLU/q5m93P0feaHKE8VjmO79hkVQsSUkcC48jje0XyltdR/dSaS4aR6OzWvSram6h4n82iPLtFtGFftgV/P62RyjPXthDXlEowI37yT/RkXRG4rOo1IME3yqDbeoK0vzJv3DsmhE0zlRrEP/S8XhRkfDFKXQUVN+6/B5+66+Fwb5AoEo37KJcjQ3kfXGLKWvev97d67yrrgajMZvM7Eeu6z7jOM5oM7vbBkAfXjCzz7qum3DO/XeY2fQ3cnQGu53/wHXdywYNppfOJ0fn9NgLMcHUyyhE1/6dill1wA1ZOhNjJT886PO3qobZ2Euhf10uBddhAWw2ehiPFOIvpjHwkb+TqX43lUq47oRopCnOql9eTWEbIwD+FBBguyhVnuhSmKnO2q1llJieaRzrraIA7hMmsEoqV6CJyjgZNo9zPr3J977mHhqOOclejCUtIF08Jo4jbriYc2s7LrxgAZ4m9JkFRHAvHt5BY//Oz5EHvM8UYkwlXyuFkZbNkHp1GZWwJ45RmWbRLqS9m8orN5/eccQ48nfxy1z70DCuaWg4lVp7i+/+xmeSJkKTyQNHN3FvU0SX6pJ6D8ayE7wY2+3l0YvKqckcxd+WnKByVRAQ41Moa46JI8h5i6no797Bo+4LRcRt7JUccwXo3clV3MedARyLUc2RRZRVAViOncfvba/wvc+zkrzy4z+TTsZ08/lL8ugsq2o3Ff3bJBqYTuzndwWLdjZTy54f0jyWJ4cwR+e692iOzhvIyE+b2cOu6z5jZua67gkbbO/gOM4oM7v0bR4zx8ymOY5TPPjeZMdxNrquu/itfpQ8j+t/+jESqUIn/dkmEe5+hcAQx0N8hcjlKfTIz9bRIw8QJYWJoVTeryhMiL30Tm7v5H294vh2i2CgFYc4ZwWKNXMiz6EVLlGcKLkefQUF3K9XU4h8VIAm1r5OUisSydxxwTT2pq70YuzUGuboBAhh86oAC1vq1wLg7H5x/CSM3ZJXOKaarrafpNd2pIC0GCq6Y5cH0OhSpe6iKMXK7qNQrmw8vw7xw8Z6MbbzABXfiDje1ysUhDyqFJ2gXz8uysELaYiMuJLKYPvjHoxNn0s++PN+X0P5Gwu433vv5fOn3EheLnxWdJIXR7oK5HF0q+h9JKIj0mAfRYdi1DDyVNNRDNn4DEbDKvfRWfr0ZPLtrw5yf0a3MZJUu5tzSU6hURheQ0PnwlGUhcEeDFnhLhp7raXkyZYGX0Ok/s+MbH/jds7j7/eTjntE/t5xL2VPYQjv+/ByGpN7Vomu8fGi5ckQX8LW/I+6/mlkZMdxkgdBAAPM7Ns2UIH1ppfrun80sz8O/jbHBiI6i9/u/XU7OHa0h4Lgkvlk0vKdVMIJYRQ212b7Rn4UmNQFImkwclkOxmqPUHBdPpaMXFdI131EAhkyYjoZ4+IOKrTOFnrL6X1ULP091EDjeijQ1fXXVVSa07podD59mobThbEUttNmUxD87gD3LK+O65KaQeWiEgdFiyRrLPAVhLmEarJygdcVEcn1TGrjWFEB92z6QkYXy/fSeB6VeX6NC3sKGRFMXcS5hBzyYuyFRhpd17VQ2I5NpbfsX6ptZtZRQ2WTOIH3HRYRkmFB9HDPdHMfu58ijY4R1X17ttGwvcAvGdltpaEXKHIB3Ra+M9aDIUuLozdSeJLfWuIwEtDZzAiZOCG2haVURdsLqHAvF6B69SVcT5VA/aBozqralNy9kQ5KhEsavTqYNH+RSPjdcJI8v0wc82VkezEWFK7aTPgBggrQ0Jf+TJqNEca5gguZLJqLptbwHQWvkr/nfIX3dWz69yMj/6df7wQZeaSZfWrw72dsoOWDO/ibYjOLMbMQM/PaADLysXOemWPneXSlgIwUZH+VwJu5/lp6Hk88RSMmwy+/pSZIJAD/jOWtxd/bizFVml7VSkGjUJu3NFJ5Xb2STLXtOTJfahgVRrPonRUdQgUUESGUl0BsVVfmWH5HXwfX4NBxKtd5X6Sx132oBGMbRSNSFcGLC6KRmTeZnvCxvb7r3CIaA7aLBMYAQXdnhCd3TTwFfGQS11iB2y29mYZ44xZx1CKSltXxRv4l/O3uF0g/CWFU/rEejrU0UVlv7SNP3Tyfxni/wBoJm52HsepHqOSOVNPIjhc4RPmTyC/HD/rut4KnSL6JytZt5do1rRe5QkWq/xUNibF5/G2oh/dVnqAj97SABPiYMBqOFfCYV0V2595Betz0N8qLSBO5f8lcv4ZG8vIRl4r+CtEOR10d5ZyzQlo+e8aDsQN+vczGCRDXYcPoPNVVcb45oll08Q4aK/k/GIexQ19nXmdsFI3nh7o9GPth8dCWlz+aPnRHVzdVvAePrlzX3Wq687jZQAsI9Zuct3lmsYnSc3WNFgl3x9o9GJvikCC7C+lprRzB+474KWGFvXL0a4cx1tpDAyYzQZw1iWL634leRV/KpOA6+RKVSF68F2PpV3IuT4nGlAtiOL8ugQHRJoDrFCR+cCoNooMiPNsUwHeU3EeDICmPgl8ptOhQCuq8C7jQracEcrMfau3BNs73KrEX6hpbT8UfO1wA7e2gEaLyoA49yvXsc0krmSnCwBRe9V/WUPFdFCNaG0RzPRVd5F6JIQt9hXk2vV4aNXv20SBI2OXFWJ5INA+sohweM5eGw6md3MsQv9YT6qjt9V/RUWgI4F5MTyBfZIioVHmvaAlwAys3m546hbEjXTRqboikYj4ijJq0SBpn+7o8GOuv456NSRbVP3l0HtbsplE4wuEazI1hRLDljEADF6CbWRNJ3y1lXPsWUQWX7HckPHoO59HjxZDtEMbk0S0cGyGKN1of3IaxpAQBTJnO9fzqMAHf/v71rl7v+RYQX8i5ERP8chqTPbeLaqLFE+k9PH+U4dn5Ub5Mn3EJmefMs6LxYwcJuUcom/FTRWsCynJ5rKQAu0aHUwj0Cvj/TlHVk5JEQ6+gispBRUeaeylo4kLooRT10jMKFyi2WeEUrNUdVBDZ8eJ7uwVooujZFSCg6eOTfJVBRAIFTUeDqFaayrG/r2IULlnkN02Lo7A9VU8DplpEE6P7+bzFIp+iqYxGl2r0mbWIe+Z20sBcs5E5OlFiHxes5LedfIU0oHI2mhuZK3KXS776VhR/G5VIGg1NE8aeX/PdlRFU8snj6PV3C3zDiiI6HjmzSJ9uN/esq548qpCCk78yD2OF32L0OCSUdJv1rWn87XcPYuxwJ79jpWjb0XWcY+HTaWBVPsv7KhpoJIwcQVpRyN+ni0QEL4J7tLnHg7EPfNx3nTs2M0qsem7l3sE1Kbqf37VHVF9edyuNn+1/I+9lRFHmBYWQ90YdH9peVw+n3zpkhsAtFQ+99yI6juOE2QBeTujg/U+5rvtfjuPEm9njZpZjA8jI17uu2zj4m2+Y2YfMrM8GqrHWDI7fZAPHXq4NdD+/1XVdUv451wKRDKbOXLeFkliWiAqWy/J5ht3ndyi+9WES8pwV9B7Lt4mWCAJB+fRBGhJpqWQgJfQv+TaVYeUfRasIkYgbL9ZE9Y1SV6BowDj7wxw7+FeS0JLZVMJFu/kdm8SRx1U5jKSoxnp7XqAQdUXgUfXdCvVrQBg2lUL1l49S2c5+HkO2KIxKrl9EahKnMMrTuJG0EiGSisTjbKtAQc6P9mIsawGVQ+1Orufpeq7BUmFMrRfQDsHzp3CCrxRgSKE+R4oE5QXdNNhqG0h7d7V6MPbTebwvc6Mvb6j8lMOv02BNFOCNoz5Gmt12N+c7eSLzLoKjObfDIkn9t99glOdbM6ggj2zhnm36OpX6dYv4HWleGo59taKz9hlGW3YdIW+sFH2oKrZzvzsFMGNZtQdjSdHi2FD08ZodyO/o3Ob1+bu1WjRVFsUGzWspe3Iu5juzmnhf207u7bFQ8kpSL9/7qgA/HYWR9693cp1Pjo5jZpGu67YOVl9tNbPPmdnVZtbguu5PHMf5upnFua77NcdxxprZo2Y208zSzWydDeybYwPGzVjXdescx/mZmbW7rvu9t3q/auqpIPvzvjAMY4d/TGGjGsg1+XWejYyiAlrlpRdzy0wqgu/vZT7Jt0XbhZ17GIEam0YXUmF51JbQ0FNXUBDXaUcbj1CuvoQRp2Mv0yPPFZUfxaf4vBxxX2eziLYIjBt1rLCrhmu/eDTX/lXRY2vlAuaKmF+36b5mKr7du7g/ObE0Ttd18PuvED3QAoJEMvswjjUcoxeYMJ37GBApkmdFYvj3XuX8vjWB8zu9V+DZTCA91hZR8aXPJr/sWUslPDyNdBEgaDQ0mt/hFS0QkvIF+rLoJH56h68iiYrgfNd3cp3miePw113y3k0T6Tx1N5GOlaGz6tD5NQ4VBZ42K5PyTeVuBVJX28E9NLBm3iIifb2c8+7HuReTpvMYerVIblZtJhQic5xohKzkmUI49qeArByRjyNwrcJELzIVOU7Ko9H5wnF+a5rANpsnAGXbC/ldaVtfG9Kox0NDGNG59b0Y0RlMMH5jZ4MH/+ea2RVmtnhw/O9mttHMvjY4/pjrul1mdsZxnNM2YPTssQEajHQcp94GkpVPv937o6MplGIzyJBtL7CuMiJUgL6VUWk6friQbrsoJRflvPXH6dncLACmfnWU3veNAnE0KkXkSTST0fpFwvNfjAroUtp0dtUlFI4tR8hoZ11Gl+KqOLYhmEJv1nEBhCfQyGaNomekesYsyOV9rbWU3hdNoMLZtvHt0VnD6MzbdNFSY72oCPvgp6nQCu7lXoy4hu9o2k6BqQzqwtcoMKeIY8nUXt73nfnc76A0zi/2JHkqKFGAN5aLPj9VfO+4fCq+qDlUaE8+RPoZfpY8lJNJI6niMI2OjGlc071+2C2zukQzUMG3oz5Kem/8E3l0wz7Sxcof0JBofpjHTyKIYh//MMc6XqeB0CuS/k8cJf2otasV+UeviPywBcKhCHK4Lsqwu/xSOlBFaymTI0JpYKj+YQlj6WgkX0RarnrZ10iKHMm5PV3GyNxNwyg/whdmY+yJPzACszyN8kLpmsIN1C2tAsfr/GAp37/O9zqvHB3HcQLNbK+ZjTCz3w9Gbryu63rOuafRdd04x3F+Z2Y7XNd9aHD8L2a22nXdpxzHudbM/mpmbWZWYGYXuC7LE85FRv5+6thpN3h8reUHhBd9rUsBFyjyM2IEuFmlX0j9uGhQt1QQsvI8Tx+n1mwXDTfzkrwYu1skKF8jcie6XDKuwmRJjmH41xFrcraRwqcsSCT5CUW68HYqiLPPc6xYNFLcGs7v+Pq1nHPVKirhTiEIXZEflTmVBmVwrq+Q6ymhRVi8k4Iw/xuMGnZvZg+mltP8rvBE0Z9NePOXTqawVTkMfz7G334wm0ppdSGVcLwAjZwm+qx5a0UjyU4PxnL7uT/hwVReGcO5zm31FPJJS+lAlLwgol/tVLjZ6fTe/Y+EE9IoK35YQb5d1EUaU8d5qpnq4vNsCJo4SjTI3MVoWGoi6fi7zVSad09lFO4xgYLs39jWTGMfZU7ne1XU7OhrjAiqfMU24VvPmkpH5nvHGRm/rZs0lSdatdQV+xo/J1s8uCc7hHJGAVoGiSN8FSE6U8Tvn3AZDbM+Lw3lr+zmft9X/NSQRj0eyBi6iM7t5e/BiI6Z2aAxMtlxHI+ZPes4zltVTKmPcAePvT5hAy0kiszst2b2DTP7oXjfvWZ2r5nZ/mFXuG1+NPnheIb/Hmik9fyFy8jMG5+gQPPX/dkm8GdEj6he0ato6l0sM+x8ZhPGehpIVx/roFApFA3pQkVnEpVP0NJGheHv3ZqZjXVomKgyUIX7Uv6iyHdooSE6MY5eZXonye8PT9LAuD6O35acxrU6fYwCY89WetZTWn2V+qEDvGdEFgVo32EGILtrKAiPl4reVPE0lC8aLTBPiqi8w6Mo4L0CpC5MJOJeHst3HNtNHoiZLBrP7iRdLErgdxSX0UCv6+Z3VB3n2KQ8ev1N22kU9vQyehMqGin6oyCbmfX5RUCPFHJ/VqjaZdUBSBidE1Moj5ww0nakh3Jl1w767vNF6XfL66SBe5aLap1A8t7iQ1TMhW2UK/PncW/9O7+bmcUmi3LtLPGOUs5leCxlcvgcGuNX7OO3RQocq8OHuJdxob50mymq4lKH0Qj5zlkaK7/5GOmu6mGRPyQgKgKzqZOaD9Go+7QrKlPev97V6x/qdeW6rtdxnI1mdpGZVTuOk+a6bqXjOGlm9obEOmu+fa8ybSA3Z/LgMwrNzBzHecLMvv527xx1B4XjS3+mwl3hCBh60UF5eCSFV+YyX6a6fzUVQZuAUc+PI3PHbGd4WrTpsSPCY5kiAPQO7/JgrF8I4LTJZL6WEnraH/gqE0f7C9km4Pjv+d5Rl3KN63ecH6amSm5WFVG3pFAQtIgS7tAoCsKYcCrmw0Lhjm/zVWrqWK23i0ZsXxOfX3qSSl41dn12Hb3qay5jUrlXVLWr/J6bRDsOld8THEZjIDaM36H2cW09lcjIHgrlzHgqjaTxpD1VWlwgPOHKQBorqtpr7jQu1l3imPiTfk1CS4ooPyYJY+XnTdxb1Wdv3nDO47mXOI+MXhorHtH7SOHZpATTAcgOp/zZeITzu/SL/I60HUSIf0CUjWf0kPYiRHR2eJyAOzAajyeaPRjr/Rt/+2o4DYwviW7o/cU07lNyfJ2gGpHTqNqvfEfAdrz+a9HVPpC6YHwEeWDHb0UFaYKoghSl9EN9vY+M7DhJZtYzaOSEm9kyM/upDfS3+oCZ/WTw/9+oSXnBzB5xHOdXNpCMPNLMdplZipmNdRwnyXXdWjNbbmZs/+137fyTQL4UYG4qxPhaCctjZ8TQU6/c5MuQ2d2i4mgChZkCfGt7TiigLiqMLFEyrRrtPRREAfzVbgou//4uZmatjTQQ+n60BWM7ahXImADPKqVgjRvPvVhYwWjQxhMUomHi2HReDCM1HU1U1uGihWxgNfctXVQxvVTsu29xomItaZHA/VlFBXxQrNODm7juLPo16y6j4djeToW2o5mCVXWI93pF7oTopD5qBnkg7ILRGIv/KRVLfh6Ns8IzNFZOb/bwvhCu6XAFSCdaXmRn83sfOkwiuDmYNBo1xve9SybzHguicfHNncIQFcd5no/Oxtj0/z7E37aLrGBxjU7it8YNp+FYd4r7nRtI+fPsXTQGpoQzsntxpOjJl0MaXXOQ6544kk5lRBWNuKoKGkmqTP6KRhqF4fnco+R+ygv/1jylIucyWSA+b6uinJ6dyojj1FTRjHgWI3PBj9H4OVvP71/bQsf6kxh5/3on1/lEdNLM7O+DeToBZvaE67ovOY6z3cyecBznQ2ZWagMdzM113aOD0ZpjZtZrZp8aPPqqcBznv81ss+M4PWZWYmZ3vN3Lw0R4em+o6KsicjamCpCt9MVUagUv+zJQh6jnjbyYBX9jzvJY4OvtVIYfF6d5fxd5RouFx/dVo1EzcwnP/7+5nczyoxlk0ue20eAQedY2VXiLh/ZREKiS7nnPXI6xkptXY+ziAAoClQDbeoIC7tQG1W+GdHHH1VTqW572NSZahOG8/ikPxsJEssyV00kDS8u5oltrxNoJNyo0hEJ/ogmBKVoHbArnd3ztMu7jhmdooE8spod/ySdoAFc9QT7bHcL9+YBoRdAj+iaNz6Ih718FaWa2t4QR0BtG0aBuFNVZHUW+iqlfVMMowzk4ghv0534qzdu+SX8tZxyNxIKDNGIXX0QeLd1IA+bJA+TvD4qmwqpKaHY419iTLQwn0Zam9IgHYxeKpP/Du0QDYYHCnieaFJcfpvJXaOWBKeT5A89hyBKDfb8tTMQroi8m0n3GCe6ZQgKPn0odcvJ+kfsp8Hb8C1/MzG4ScBxDfb230fTe+fWeBwx8SnRVnZZM4ZC80oOxnfdRCadG0ePxR4V9ukE0AzV6ABkjvRirLiLTHuwiwUeIUPy8MSyFDk2n4KrYQUEYFkEjKeVGKoeeY4KpBCBdyLThGGt5mdgoqnS1t43r/v1SCsKJojPldJFUHidaERyuYxRBluUKFo73E4SeGD5fdZo+EsJnfcQjelP18fvVEVJkOhVuUzHX5EwVBfz0y70YO/giae/JMNLPJ4IF9ohIvFWiIW+hSO4eSX7Z+eKqQv0AAQAASURBVEd+784wftuljmgn0EGiOhlMY+qGeaKJqWhW6d+gdcTnGekt/A0jtl0CayV3Eg3H6hM0fk60ked3C165WZSw590mun6LyLZyMk4Hcx+vm0HDROSP293HRc+pThorYydR/ioAvmABhBcVJxrUCqDUNVUidylcVI+1iG7ofjk6qdl0FHafUm07uMatDmkgSrT3GDWM0bBnqvkOdRSYI6Jw088+N6QJu/cPYTLyB9+rycj/zksh6oaJaqfSJ0gssz7DqEnRX6jUqv0ass0QofOsKV5OTnjkCoxsbK9AhBVK/pSo2KoQ0YxeUR4xNYBC4MF7OMFl0aJscwy/12IouMJHcC4nV1HQrA/i2CcCBLqxSIJOH+HFWH8Pj+WWLuZ9P33JgzHVrvQ6P6webzOV41TRJiFP3KciNQor5OhJ3hdcJqqfPs01DnuFCv21FylEGwO5TtNp/1pFB/d2ylzmh53YQWMvQBhOtc9RyOeJ+tiJAj7hNZHzohDN4wtoxDkRnIuKdE2d7vttbhsNx6Ag8m3eh2istL1GQ2dXp2iuOYvGRdYeyqOMmVTCv/073xsgjKSPLeGeRa4R6ySqpM4c4pw/ks7nhcdT1p48SDk1agIN/lqRCxX/iVkYO/HtYxhL7+F+ZH+REcHTP6NjNCLDlx6basi3M0cz8bq8kOte3k96GiYMk7Ym8u2dV1PmeV/nEZ9nFn871JdALPmPus4HMPDNkJGvM7PvmdkYM5vpuu6ec34DZGTHcSLM7EkzGz44/qLrum+bjHxi1CWYoPIUSmpJpKNyKIDDRBO91/1C6pPT6bGExVJjFJ6gItgdTKb6wAJ6i7vWMcKRFEojLH24F2Oq2uvhCnqpUzo55zE5FEhRIzBkrQLhKCqHtNIv8pnUFRBGJdxBXWBrzlCYXSZKrlsrabAdqOCaxok+WaPH+e5v+Eju2eHnaayNW+HFmKquuecVKoKJnVQYqtlidiSN4rAwfoNqfxAYyv1pPMtvU9U/EZncxzM7RIn97TTQ+1uE87COc1YAkRECELOtQSTjXkalWfMS1yo2h+tywq/KLCuTxsqWClpmWcLhUZANRSI5tzGQdHH1T3g+dlQce213+K2XxJJv44WDsm4r+WdGijgeq/JgrFXAYOQnca16xPFYh0gdGDbBi7GQ4TQc2g/RWDkoijWyRJ++tKmkvdOv+9JtYR95ebkAe+2o4Xf1ilbytTXcn7wZXCdVTHXmIA3M1h6u3eLqJ4fU9PhL5tBFdD509r0Z0ekysyXnIiM7jrPazI7YADryn869eRAZ+UYzG2eDyMiO47yR4PIL13VfcxwnxMzWO45zseu6TN4450qbQ2YOyqYiCV/HvJXmOgr5mgoSlb8yPCQwNbIbRMO7CMYLPnwbFcGz99IIGR3M52WN8WKsuYJC/2gtj20+tpweSulWnrm3N3N+5a/xvpGzmNvSXEhyCY0if4SP5DtK1olEwhwKLlWJ1M4mwFYvGgEOE9gYm42CNf6M71hiD/fiZACN2No1/IbjoRSEpQ4lXGM4125it/C02znf1C4B5hdCwyRhMd3+kkPc26w+GgiHxZHruGFUrtUvUBmkfoj5Dqfr6c12iRLuJQtEWfIz3Nu2RykH1vbTsL22jHJg5Djf79h8TFROpfB3h0WlZWmrQBb/Mum9cysrGbtfY8Rkh0OFrowadVQbvZlO26Vf4373EkvVVq0lLd92GXm+p5K0V7LXg7HMfC/Gak5xH8MEGOShasrHhfPpHDafIQ+FXDARY0E7zvj8fVqAMl4oHK+SYhohYxczstvUwHXvE42bIxaQzlLrKKd/W81o72I+7v3rHVz/NDKy67rHzcwcHqNIZGTXdbeb2WuDz+x2HGefDZSev+V1cA0Fy+RLyZCqBFflSihQrA2hvoIqp5c3zRouGt6JtgYv3OvB2KXz6D0oQLpHBQhcqmgQeViEsRs30CMVDrRdLODqW/eJ45LZeRhrO1vKd4SLKMJeKuGydgq9wFLRK2wa17SJ+sEquynQx2dQQYwo531tfs1JnymhF3yhyxBzdCSF9LIPeDD25J+o+C4aTho4dlJEoEL5jmMCQyY3hQJ4zeN83tgoL8ZUlYsqcw6JpECvruRcKn9CfsxPpaETM4zvcMLIBxOvpNZo2s/ffmQ096h2N+kn2OPLzzXiKKe40oOxUXFejEXHU/Gf/C2NxMAAjnk7ybhjXEa+Uq8Q6MGbzq+tyNk/c913NVGRXpbB5xW+TB5NzqBBcKab9+05TrpYGEW6qK/nbxcvp5HZcIgOabiIqpf8knmD+d/zhXnr/BbD08c2U69M+oRoivu6AGIdJlDtb52DscL/JphofCr3bCGDUkN+/T9fXm4mkZF3vsXtGWa245y/zw6Onfs8j5ldZma/eZP3/S8y8iejp9tFEb5nK70NFHrtjSJiMIoCU6GYfsAvtBsaSUVw9pQHY1mjvRgz0VpJXad7GP4U+aDWEEih/LXb+P09p0RSrDhW6qiie5OQxEjI4d/wvsgwRsgiksXxwUgqyNRacnPWxWT6lx/muszJ4D5GNnCPCsspvMalMUL0C6/vfV+I4j1Pi5LPa8K5Tvv+QMOEadxmD5TQpr9THMmVHfdgLNfl2imQw/GxjI6kTKIx8LPd9KAvc8+vE/j2Qu7PB2/juux6QOTBVHO/Uwq4t6EicTsigWOV26k0m1pFIvNW3/1OEvhN064iHbce4ZrsPE2HYvknuU6lD4oy9z5RhSSSu1f9le9IcRldUsdoCiR0fjINiVIB8qiwrqrKaHSt+ACNvb4KGliPivYrE3oFvtIp7kdRFXk5pYXfmzmH9N273zfnp7ufckvlwn37PsqUqzrpPIyfw6PAxj9RJUZGC9BI0Y5iWhCNzvevd/f6h6qu3kBGNrPPuK57ZHBso5l9+Y0cHcdxfm9m2/1aQKxyXffpwb+DzOxFM1vjuu6v3+6dG1KuxwSnzCehrd1GA+ZMCAVQlDBdp/T4Ml96Cpm2soYMP2qyyAGayBDzoQc4j+Gj+VvVrPNoBz3e4SIZrryXkQsFQ1+5nQyu2kKkLaBiCcpnC4S6x85grOQshahHgPnFp/I7VGf6xi7OWeG5bBS4SctFmXO/X5VHzHVjcc+xnzJ03t5LS3R4Lr3WE0U0klQ+TlQAPdRo0c1btSy4R+RkXdXP+7pFt+S1Io/sg6IRaXA4mSUomrTy+AFGIi/ykEfbWrmP4eHie0XuSVAW6aJmnTD4Rf5I8hhfOgtbRKiIV39GWswK5pjCJfKKwoKMCP5W4bkkBPJbR0wiTalu9V0iPK1aVHR5Be6YMCZXn+I+ZgnIizWidcvHoznnuFEiSjidvaPW/IbvyAqkcT/uO5Q/3/4JZdzn4n1lQ1UVZXdsFA2u7J8vxthznziIMYXzlBJPg7W0nrJbgZMmCiT+eVVD2wLiT0OYo/Ox92iOzv9efsjIjMsNXG+GjPzGda+ZFZyPkWOmFZp/N+I3u2aK0kgF7e9fyrhLAO3l99Pa7xfJZt0n+Pzxl/N5D62iULlMKJuyag/G4rr4vHYR+Tn+KhmtX/SfGTGWa2z9FN69BTQaElbS4+l5iscqfeIYUSX6jbyeU/Fu4fzKSjwYu1iU0XbWii7Skb4KvPo+hr+be0hjCgFYXTOvET1u6ilYQ1cQRrDwRycwpo4oLhJ5O/lfY75Hye+5Jl+4GkPWK1AHgsdSsRz5vYjAiO4JZ0VxwLQP8b6+GiqNr71KmvpJBPmqt5c02ipwrCLKfd8RXMSw6/Lv52PMLeGiuB2cb/cZzu2FXeTvSnHkPEcUFvSJUsEFMzjnR4WB2V5LkR47hs/7w2b+9mMzSSuqiCBqE3kjaR7ve/1Z0mPGPtEKRjQYzcj2YqzibkZvvjmGi/XEEd9vWxZL+VHdSKMz7bm1GKsK4jckdJ2f2kyKoLF2sE9gKS0SAJbvX+/q9U6Qkd/sejNkZHMc54dmFmtmoj+vvipKSRi548ksQcdFB26Rx/GqwGeYHuBrjatKJ1XivPsIveoFK8lUIbfeirElrz2KsZjxwggRJciTxgrvm06LHd/JyMIpAXwzrFUI25M07J4XuSyzBehf3kWcS+mrJLX0lYwstO3h3rY28ojihGi8ars5pFwH/27JUTHCaBAGdiTTliSm0avPUxGki4aocSJhddQyCsfAJJHHMo9zKbqbyjBzDr+t+mV6824/lU1sTQnGRi/nPgasE9ggE7iPP3yY9POdL7Hkb8Qa0tSq9VQ45SLX5qIQL8ZCo3y/t1+08qi8i9VPcZnci/JT3IvVRqPhqkh+/+pOHsekxjLyEyCk8um9jBTPMCr+6koKghNljKR98iLKkNZTlAOhoko1LV00wV1Dflz4TQ/GfvcrftxKAU6qGvS2imO5iCZxHNjty2tlDdwzBadQtN6DsUsFWnSry3nUeUXeUiDXZE4f92znWsrpFRj5115iuf+jrvMpL59oZn83s3ORkb/vOM5VNtCYM8nMvGZ2wHXdCwd/8y0zu9MGkJE/77ruasdxMs2szMxO2EAll5nZ71zXve+t3n8g+3JMsKqTBJQreq10dFB4J6XTI41d7KuYdv6VzDh+DEOkwbEiEbeQhkRLi6ic6qFAmiIYXsHG5w4XlQACK6JXNCLNWkDhXbWTXrAj2iLUCi9IleqqiqB1wki6TDQOrTks8oCiKcyUUbh9FfMYpk+lQPeW+K5pRwe/Xx2pnKn3YCwlnIIrewHHvrWFc/uoUFQdooOyCrMfbKExpVpqLP2gwEgSyMCPPsajIX8HwMwsIVlUqJXx24Ynky7a27jOgYECCE+AeqSO53sDPeTTsi2knwA/Wq5v4z2jBQ5M1WmB2NvJbxi7RGDrCPiIEKPRoNCD1wVwLxb1iBYLoTzyyV4h8hePkwYKTnHPRo6iUq8qES0LRKPh6zyUj9HpnMvBfTRYUyJp7MXEU07F5JO+D62nAZgU7fu89cLAFAFmm9pNPlNH7gorrVhADKjjy94+ymRVhp/w8qYhNT3uyRq6o6uPl70Hj65c1z1kAx3H/ceftYF8HfWbH5nZj/zGzpp2sN/yGjaZBkz/PoE8K4jvhJfK4Khg3HGP+HqQfUZlc1yA+U2/g+9s2EN6GfsRGis5x+l9q0qA8StF76cCvqOiiUaIQoFWx1mT7pqEseJvM7lOGTUKKEuhNC/P5fcGj6CQemUnlVBGk6hUiKGRVBVEcq4rpKflbyRcuITGUOUu7llcMIVeuzBMVFn/d4fTgwwdxt827KOwLajiOk0W3eBLG0nbm/5Kxdwsono3Xs3nPfYc6XFeI42kGctE924RbeneTqOmUxwDJGeQ5jfsYjJ3fD/p7Ewwv3dHkO++TRIoyxNTOY+2o9wflUNV+jpprFbg6CwUVYFBoVyTD8V6MabaMySNofHz2vN0KBTsgmqxoBq4v+aSpm5KEWB75ZQrsTk80osJ4vq92uvB2HyBk9VUT9qLCCINxKX5rktMIel4pTim+/J+yviPigqRkk6uSZhwDFUO4r4zLCKIr+R95Ph/7fV+1dW/+Sre58HYLoGNsjKCwrElgJyrSr17vb5Emt5P46qlmsrBCSLBd/aJXlr3k5D7+/nb5Dh6rWc3kNFSRlPhzriK4f7Nz9LQmzObSbZPf4E5KuOC+N6iMgEglyCOEUVEp+A0PchpF1HhfOSzXOfe4zxC6fNSkV4hIkSNJ6j4JvR5ff6+ZyuPIFeIZoGhwpge999MgOh6eQfGApOoDOu3Uki3Np9f40dPGpWcisKpsP24ZIFVdIRzWSKOLQpqSVNV6/htXpF0uUjkmahE5vxCGrt1orBghmh+OWM26TbsOV+1MTueBseutaTPyAAq1tQR5LNKgdq8KIt8FjlMoLzfxEOKnjWbMNZ9TGDIjBBVhidpXChwyROn6RidPEFF/+FrucbNe0lnB8QxTdxJRmWGT+fzOncKoMJLKQt3v8TvLQjhfoeW+dLtgkRRdbaPfKGCn6MvEI2M9/O7FO8dLmJUb/ENlCuB4yfwxe9f7+r1nu91VTJ1GSaouswuyqFg6RN5NQpbJ2G5r6AqeJQCXhHy3j4KuNweeiwjh1H4FIvyzsRoKi+F/LlhE/OMWgX8f1QfBWuo2O/0UL5XRSpGz6CCaC3nfaqvU1gS59JSJo5pxvC+DSI/QziflhdGIRIiULT9kWwV+mvSLM7jxdWku7FBoveTaCcQm8B9DI2hIj1yhO/whFACl/XQuDgSStr+zDJWPx142YOxuHBGklTukjpWSpjOtTr6ChXJ2hAacdkCs+oiEf2rLqNzkzWeDkl7DQ2CHr+E39+2CA+/4/zk4JTZjMz97gCjTVcHcm4KDDJS9E2aukzk+c0YibH2NUxcV9VZC2dxPQOiRPXYUY7trqayXjRWOBQCr+phcWT0xVmU08U7BFqykD9pyTQyGxv43mHjvT5/79pHedkpwlejI7lnVa3ks5xkL8ZebBLr5HC+/seoZmbp+bwvcc3QHl39bgiPrj79Xjy6+kdbQAyiHv/JzKbbQETsc67rbjzn335nA8CP/Wb2rTfKzt/sis6mpzkvgMKmt5uEu6ucClLt5vRXfJXBXwLIoIki1LvS6HU0GaMU/oLWzCwphsaFam1RupOe15hoL8aOtNJwUk1CVWRKJdLFRVIxH91NZk7xcA2iMrhnPU2k7cRLhYf2AJVrrFAGPeIUNFWAOioU3Owg37VXJcnrXmbweJkoVe8TlWOqSkodC6ixcWNomPykmHQ8TxgIGWLstZfppSvYAQm0JwzWmgoqpROrGIEpFZ3kZ4s2GAs+y4jb8T+KAoQpIhdM5OgkXstKtv6iYp+/v99Emt3yOPnsD6E0Yn9+jLwyqYv73StK0abmct1V643KXSI6UkZ48J4Ofn9qgMC4oaixQztI31MuYrRl5EYR2RRHrh2nOdYnlPrRTXxvZroXYwWVNPjDxbFpZy/X4A9+PP/ZxaIFz0Y+v66N665gIWKH0fEYv4cyr8r4PGVgRZTROWZ88f3rnVzvegsIM/uImZnruhMcx0k2s9WO48xwXbffzL5lZjWu645yHCfAzKjp/K62s5xi0k+u4yTvfwJj+fVUfDmXUnjvftLXSJgkOgCvSKZxpfpfJTaKktdmGj+VbRSYKkqRneDFWL0wTFQ39LICGj/RUWTSGJFwlzyCyqD0gGhw97OlGCv58ga+N4EC+J6/c63UEWRZLyNnI0UNrj8+jpnudO+vwDtbuN8CNd5C4oUh8Tq9ReUZqj5PqhS6uodGw50R3Iuca4QRspFj++spMhWWUrtI3Fcd3CeFezE2JZsKfOEcD8Zq1wqcn33koYQEkZ9RzDm3iiR/76vEdcrN8lXgccs4t7YA7vgtInfkGeGLXhIiEqUFNlVoDPdn+2bSz2JRrfQ/d1GWTRdl6KME7fW0UbJMnE2+KNlEPssWTUdfWkPnYVww7/vqBXxHVyn3OyyP+zhugxdjiTkC2kAYXd2rfL9XOYupAvzzTKfAagrm2oXupcO3TfS8+5TANDqxizwVn69aDw/t9d4+13nn17+iBcRYM1s/+Nsax3G8NhDd2WUDlVijB/+t38wEgIvvpY6aSj/9PMa6Oqn8VbuHckIl2ISJvoI6t4YKSCUNtjcIRVVLZhl3JaMjuQkkrS33kqmSZtCLSRIl3QdX06gZlk8vWAmG11aTcWObOed51/G9vWtp1NQ0cy9UsnSSoL7mFkacFieJirdwKo3wXNFs8IB4h18PNFXV1SmIJyiNHtpFX+ZYy0sCbLBRhOJFH7fIbZyLapjY1ygSGCeQpnqY7iGTxbe30ecQ0Ez2epfI0SnzYOwqgZQbSdawHi/nnDiH+/jIS1QQqb3kydkiihkxwffFxY9z3fNDue5lHaTZSwWIoEdUCLU0iZw+igvrER5+y7M8kvr61TRCyl6kbGhspaF89IwHY1ObKXqPd/EdieU0Lob1CydDHGk2H+HeHi+lYdcrENnSRIPj10R0dnchaeDrU335b584ugoUqn1cAlMM0pvI37FxnNuH4khTe3bwvfWBpO1R/3475z/++le0gDhoZlc4jvOYDQAHTjOzLMdxTg3++w8cx1lsZoVm9mnXdaHFzm0BsTJ+pk3za699hUvmG3UnCXLfPRToDwnAgE8V+BLfr8Xx04U1HFMRmFyBWrzlaVGR4FBIjckQiX/HMGRrK3mUsVIcq3grKPTaT1PaqtyWP4h3fKmMSqStgiS0MVQ0xxPgimkCdXXsh0Wvq9e4ViGxFHANB/htsTl8sVvkSwPRGbxnxXB+6+kXxJHKgiKMKSDE0wLSfsMmCr0PCWC8o+JYsmod91Z1zL5oGukiMIrzW9DN/KvVog3GTWP5vIhlbHrxyi+pNOeki2qdAg/Gek8ImHyHPL8nmIZI6Smuc/dx33WOF7lw2ReJ46cXeV/mWBpwwamiem4dv6HmBB0AZVCXikjscFFllzqRv00XEdvOV3hcFBJOnpoQ4cXYhmLm/CzOpiEft4zveP0+0s9pcaQ5qYeavkGAok5LoHF28QIM2bEXfecycwkdpQ2v0QjxNpOnEhNJd+qo++VSrtMFCeSpkHryRc0p0vFQH10JO/U/6vpXtIAIMrOfm9kFZlZiAxGgP5nZ62ZWa2bXuq77tOM4XzSzKa7r3vZW7/TesgQTXCcaWE5NJFGt9TJScdPit+8rUr1HhM4FE4SFUFisFciXS4yGhFr2jOEUonuO81ujhZGkWhG8UsZqopG9FIQhAaLdg+h7U9dD4bNJwMEn9nPsA+OoIEMyaTzufIFCfu5nuB9n/urFWIcoBR37CSqXTb/1XT9lsEY4XJMxExiKF8Um9keRnJotjtXmiUiVOuLaIfIV5mTwKNUzSUQHjvE71BGKumpEZY5C1m4UWE/piaIHWgYVmopy7N5Fmp82kXwbkk6l2Sr6JjVW+27S6XYqmyQBw9/uUqHFBNI47xBtIUaI0mqVq1dXxzUOF/g4YWEcS/9oDsYe/zkdrekhopN8D+eicHliEhm9+J9qquEfX0BD7NRa0YxWgL2ePkwjSendEVO4pv6YWGZmG7y+BpbCg4pPFCX3XlHxKXBv0nIZ2e4UDZ7/u8GDsQ+LfC7VDijltaFNRv7NsKFLRv5c6XswGfnc63xaQLiu22tmX3jjb8dxtplZgZnVm1m7/R/2zpNmJkDhfa/irRQES2ae39nn9EBa40G59DKO/9VXAIeIqpn8i/is2p1kguWtFCqv9dP4mSUyBHs6+DwVYk2NI+OeFS0RrruYirRIRAKiRFfu0/XiKCyK7/2sKHNurqPAUALp6H4KuCU38R1Vj1EJZUwTtaACDOIb91GT5ob6GkQjurnfk5ZTIBdt8mBso4A6uDGGRndRLX+rGheqPkJfFWf9T/nB3JuZRa3GkNULDp9RTOVV5JAupgoAyzYBmOcKtZS8jPd1F9LQUQnuTSJfJmIOjZ+OnTR+is6Qvycs9d3LrAB+v3JuVHFAk5frdCiA1m56M7+/SxxB5q8k/xx/kcZ5tEcgXN/PaOKCWNKPJ5u/VdVZqnih5DjlwGdFzpjKvfGKFh0nD3J/igMoG+YKJ6C3TfSLE6Xz5S2+MnO6UOGlFR6M5WSR3lVhQfSlhEiv/SOdoG+KfMNTHVzPyCnUD0N9/T+Po/OPtoBwHCfCBiJFbY7jLDezXtd1jw3+24s2UHG1wcyWmpk4mHn7a9VuCvmRDgWGasC3+08UXpF+4GaZk2ix99CBtr4+Cj3VRLFeMEtSvOj4XMLjonZRNj57smgqJ4CzfrOOz/v0TAqzyn0UrF0id0B5d+HZFD6hSdyLv+/lnt2QJ+ayhlGeZ9opHFfu9WIsdSQFyxLhRQ8P9zVGc2/lt+57iEZIjQg/3CKOcrpFS43JaSSg+0UTxe+spIFVsorG1C2X0gs88BydgmxxZDjpIyJS8bAXY6q0dtolnN+R1R6MFTzNNR2+hOImVEQT28VxzhqRv9YcyPXrERJt2kTfRpJVD5HuDnppdI8Ooxwo6eIaXzWJNHDqEB2vuCjyT3cxjZA2ERVWV0Q8N1c1Bg4Ux1nqCh1G+s4fyd+efIE8Gt3O75gymTS/5jD3bFoUaepJL6OYeTWUo+OjaZzM86vuCxdFI7v6uU4jRB6mctrihGz0CJmn8jpHuF6M1a4nD5DK3r/eyfWut4BwHCfHzNbYgJFYbmYfcl23ZPBZ2Wb2oJl5bOAY64Ou65a+1fsVjs6hCiq+vaKcc0YnCa1VgAj2+AnWK65nVKbzKIVeWy0FQ2QShc+pw5yvKt9WRlKPGGvspaDhYZZZi/CMp3gY/k2dLxKtT/I7njvDI5ll0Yxe9Imjq/QVnMuBJyhEFOR65lQaMAp5t+4w9+OsOBOf9ZNcn7/P/PAo7olN5v78UeQt3SzwUoJEJCA2hYqgWOSTVPZzTfaF8Vs/GCu6g4sqJJUkqlDEE4bR8HaFmxc+ivOr38Ebt9RRUXWJgPXNH6X8+eufhecu5nLtdVz7HY8yujJ1pq/CbSkjnSRdx4jRvt9SealjztgI7m1JGxVpXAB5qln0GJsietkVn6QhpjBZxv8Pm5P+/duMCKoedZ3CSmzp4/zaHPLyHBEN6hAVqNFZXIO94qhypsB/2r2OcjRNtI/wx6yKzKR0VE1XrxXR5NJn+duMudzvzrO8TxWrrGkgX5SJNig/Kn5kSI937hrCo6svvBePrv7RFhCu6xabGblt4N9KzGzhPzLB8DiB2CpKxPuFcFwTTgJa3Mn7/PMdHntKAUzRy5oncm+Sb83G2Mh+Ig+315MJvNVUypO/Tube/2N686On0eDoFfgZrbVUVOUbSQZHWvneKEGeySIZsOgVCseCZ4XCFXlAqsdUsECAffhhKjRVhdMYRNXU9A1fwb9oERfq9Y00ai4QvYri8yloIydybt0llCMZWV6MjR7NdVq9id+ftJTRxIOP0A9UieZPdTN8Pu6oB2NzRlDh1r6OIdvcSOHdKiyCmycz8nHyz3zvhG5x7CUK/h2xt/5GjZlZ+NLRPn+X3cXvCl9H9O2zATTsM/vFMa/I+ZmUSn6MG01l+NIWHiE1nGUkrVc4D3kjBBDpDw9hbGU6FbNCaQ4ZJyqiztDgOLKG9OOK6lhVGbllt0javYjHVH97jfmFSyO9GGvuoHGf5HfEXn2E6xnZT37sLuTzE3MwZNV7yHtbWrh2cUIehQnciuXd1HFDff2nH12955GR92ReiQkmikSyE5X0eCYOJwPFLCCTPv+gr2Kak0DmVuHPjiZRbdFIJRcplPfOdiqviSJprq6bTDX/ixzzPl+MsSfPUqgolhrTRYE0eyYrK5Qn/Krw3K+ZQYXWXkEObxd5DMcbuS75MV6MJWSTBjYdoWJaMpve7N5tvkbMxLFUjtVnqLxUYmLeXHrGz23lui+Io+JLWUEhvU0YcHNEWX/leoqm5Kmks40CVTpNgMplZnsxpqrHkr9Gy3bd51gOPTKG0ZbUKYySqf5u6ognNIxGQlg0qbmmnJGUcj/oCZXMr/LeFC2q8vXKIjpBKs8v94fTMdb1wmaOVVImB0UKXJ6xnF/bHh4D7TpOo2HOJPK3ulqqhNEp+pOpCOjqQvJjrEBrT3VoPIYFcY8UGniTONrP7PXlgxbRjqRM4OM0Ceyj60QVpCpMaRb5SCMy+Nukj47D2MM/5H0fOTu0UY9fDmFE50vvxYjOWyAj/9zMLjOzbhsoFf/gYB7PWyEjTzOzv5lZuJmtGvy3t1xg1V9I/WLGdFGVkU2lsfVvJMjhgb4evSsqS6Kmksn2PU6hOjyWAj5xOJXyogoK6ahkKqryw/yGk7+nMEtIJuPemEcl74iqngBR+VJ2iML7ZZF4O054LQe20fipDaBRuGQ851ckwM0aBcbLmKOMTI0V5bE7ttHTuuB/fAXwfd/j3G4X1XnB0wnD3/YS3ykKrCwmTSDWiiaFMxdT4d75Io2ur4rO9E0bKYAnJjH6t0pUI+ZFUdiGil5Xpf/FPl5jE4Xyuor007GHfHAqgHNOEgZwdh/XpbKW67JLtJkY5ReJUw0tRyZQ2UY18Pv/VETl3erw+7+1kIbtoS8dxthxR7RsiBfVfc18R8khjmUMF1VxArslKJ70c3ITncBil/uT5gok3+GMil4pes81FZDXolL4vKeP8mjplptp8FsAv3f/Q77vmCB4IL2B8nzkQspu1dxXVcUdNT5vXBT5+9SPCWjp6RMAU0N8vbfDHe/8Op8cHcfMIs9FRjazz5lZjJltcF2313Gcn5qZua77NcdxPmVm013X/eAbyMhmNsN13X7HcXYN/naHDRg6d7uuK2pF/u86nHsZJqhKI9V5tQIMTMkks0T48VTZLh4BlLeTkBU8+MyJAiyunsy9t4LKZlo6BdzJciY1BolAY4bwSBUw3Au19PAjBAlMdKmUoiKoDM40U9mo3lGqtHjPARHuDRTGnshbUW0h4kL4jgDhpQ2/2PcdTgQVa9Ur/FYV1VMQ/l0MJNrLQkEu9lAZPtLC/f7sQkacTm3guo/9GI3iF+7hXGKEVx3j8NsajOsybwojGj0tInF9BaMIfxfHy9ePZ/RP9SZSGEHzkrnQgcH8tsOlvsewCqTvuMjxuzSAii8umXzRWEPZUCnkRbPImZuVyb1N/MoijP3wq4yanXEZRbn3ZpFYfz/HVOsWlUfX38R3fG8Tj7WXiJSAiemkb1XCrRzLHmHIZ0/0YuyV/TSIEvp8DYxJI0knxwoof7uEPI8SMBOtAnagXeztBdNp6CkHUuVGza5QGNz/uusXQxjR+fJ7MaLzFsjI52IM7zCzawf/WyIjO45TZmYxrutuNzNzHOcBM7vSBgyhN71iE+gpJN5Gz7rnwGmMtReQSMuLSWijF/gyVXypF/ekJ9JACowQuCVFXNKExVRAEQ9TIJ8pp0eVFcP3xmdS2KqrUxytze7nb9OHiYRa0eeosZzCO0wYXSdqGYGJrKV3s/ArNCj3/8KLsUXTqFy7Grn24RmizUIxBdBRP+C/9j7uWX4eFUHMJIGEvZnvrGnkd00LEcnsrXzelz4jQB5f5dpFC0iA3jM0dueLNTleSkWVIJLjq9tFq4hartVO0VNu+tM02i/h6bI0ambPZjRttai0VECPZw6Sh5KDfQ1ghRi+/EoeKXTvoNNyWrRJUEfTeQl8h0L9VoZZ2/3rMfaBcNJFpIfvbX1dGN4uI6xJYyhX+6rJUyELuS4zXxWVTrOo1F/dReNeXe0iKnP5VBrAvS28L0DEIqZP9qWfqgJGTFROygWPLcNY1z0PY6ytlPNQx7y9FCGWkkUe3XWaPDDU1386YOC7hYx8p5k9PvjfEhnZBmjrXG44a2aM25ovMvIPUsfajXG+DNO58Th+o3JANpbx8fF9VBpj432FyLEiGgieUgqV0ZdROcSMpme87xEqjLlXUlg8/RIV0BaRmPmpGBorFYfJzN0i8pU3mcdeqpSk9KAHY9tdvuOOb9D48T5xCmOvCYTVvlJ6s6NnUBC8sI9KbpTodTU2jSHqumoaHXExvvv2uw7RX6qIkZXRDj3U1Iu4JslNNGr620l3+zZwv0/9kjS1bAn3seoA1737Nd4XFU2DqCpI5FiIpM4Ul79tbuBajRNHhgkzKTk/uZZ7cStGzIKSOZepkaTbimM0OlRujH9Ur1fgVVX+qRBjG72MSi2IJo0VC2C4WBGZHHs5jYvC1aSf+G7y970Cf+WWNj6vVXT9zoolT23eTn5ceq0XY10bCZd2yXLS2W820qgRxaHWJUyM+aIFQmcd33GsSMBMXMUj1+3P+hoOUwTYZLrAuPn77Rsx1iWOFsd3UcZnxpHnO4Qjs66DTuD0AFE18v71rl7nZei4rttnZpPfQEZ2HGf8OcjI37KB6uY3TN+/2kBH8z02gIy8bfDflc0ow2Wu695rZveamTVcscg18+WEgp10DYfl0XC48kYSX+nzIueny5epps9nqLNSKJaKjfykzOs4t3Ez+LymfVz6KFEJMFrgoASEUVAf7PRg7LJL6VV3FIjqiFi+NyKCL54swtjdOxlticynkLr6c4zCNd/DPlmq4uSq+XxH8BhGEboO8juGTfJi7P6DvobTR7up0BtVAmMxlU1gKQV3eS8FsjryGZFFIR2TL3Kooqi80uMpqKNFnkmfShgStm54CIV39jBR1i9yvMpPezBWt4PP+5jwekeIY4VusaahDIbYkTruR4rIH0n2cwzUPqqj79HCmI4SPY2ivPzWkbO4t6uepzFQI2ASoitpwH02jcpaGfEjR9EQO3GS9Dg5jUb7719k5GeFKH8fvoShig8kcB9Vxey2ozQcAkT6RPVZGoCjh4nWiCECADXA9707DguD9QI6WYvCyBgq/aGpl8TYLhr0nu1mJH+SkaYiw9+vuvpXX+8IGdlxnA+Y2UozW/pGUvFbICM3mtm5nJ5pZm+b+n90J5lUJRPWnKbim59C4RCTSGFb9pAvowUF0RVJyKKXVSYE/Jo/c27RLufmCaJAniQwbhT+SkCMyCkRO1m1ld8aHELBFRsrSroV1kosPY+CzR6MnXbJ4E3rWGKf2iP66FzAPetrJRse+xPn/McQGpl3jeWa3prjG2Zff5oKaFEWSTN2jjB2X2GkZullyqanJ7f/Ae7j5DgK4KLXPBhLS+dxY1iaqNZJIC2XC/DLeVFcz5LTnLO6PDE0gFVFVJbAHDpcIIDhxLFP6hUCQu1vYi5h5JeCZt+jyqm5VMq7z5BHR4tqv9Mi0jf5CjpUq18gTa28UzRs3UNnpPIUDZ2CMr53ZBYVf7OAjwgRMA6NDeTRlUFejIVFCrC9VziXpgDRZ2056WKJKIm/fzVl/KwxnItal4DdlMthQb6OVoIAGSvaymcNG8t3lh7zYCx7BA2iBnGsv/gS0vGxF7juwz9FHnj/enevfxoZ2XGci8zsa2a2yHXd9nPufytk5BbHcWab2U4zu90GAAff8sofR89DYdA8K4CYArdSeI3P4vOSx/gyi2jOa51eRinyryYHpe+hoj5QKKqQRFy3v4kKsqKBns1kcUQzX4DmPNdOgXR9qIguFXM9f9DC9347ip6c6vdVJTA1PnylF2MNW7nQ92yj8fPJZZzz2CUUIt/eyzV9QrRKuPUSXxq4YjoVVV8tv6FhMwV38gQhRV2uZ8NGrt3oYfzp4UOklbhQRhEikvjePlGUUrKLc5nUyd9uEVGoK+Yw7yLQQ0O58nWKkVIRNUn0UCnN/6YHY97Hud81LzG6tGw+lWbYytkYi7lrr8/ftRU0mmbk0vpT8BExYi8Cs7h2Sf00arpPUfbsEgn5F/wsB2PlXy3GWFAIDZifiN5Zv5jJ9yowyIO7SHuRglbyhYG17yx/27aTBsHe45TJCh+nXfQuScwgDwWIHKfjflVMAqjc0nvoyBUfpLFywQI6PHcJLKB0IfNmryZD3hfCyfx0C53AiC9j6F96vV919ebIyKdtoOT8DWmzw3Xdj78NMvJ0+7/y8tU20Bz0LSfwaPot+PcLRvAYoLudBFRylsK2VPRVSfLL21HVESphLleEtptdCkeF2xEVTEEYGXl+kZWuTgqB7A9T0DQ+RxC0qBH8jp9t4W8/IiqCWpq4djXt9FBmf4KRpCP3iuOhPirhmXNpKCrAr2G3MKm8bQuFUmgm16qv2Xc/toh8hSBBltPH8vnbj/O3qQKnprtf9G8SbTsSEmgMKKj/MwIpd9zVfO+WJ+m55sVSADuiOu2VdoHGK7h1pujb1iYSvNNjRQfyVkaNRhiflyVwfk6K6MrMO8kvf3jE93jjQxNFB/Yb5mNsy5eYt1Mh8psuGk6DMGoOv6tpsxdjL6nGuz3cb/VdboeIwr3ADcq+hMZAwzb+NiqD9Fh7kry3upPfdonAm5HHfKMpG8o3i+a+neJYslc0M45jlDAi2vfbTpWSTjaFcx9vDPRirLGNR2MjhfP9jGjnEiV6514u+g/ufonrubT68SFND/5x9tBVXX2j5L1ZdfVmyMgj3uT+YntzZOQ9Zjb+H5ngoRCu/ywBLR4pmru1iSOuxdlUVp0tvsbJ0y0i6S2IEYSU0RTcCsRrzwOcR7NIMk7JpNfaUEVBo66jd3sxNuYmRmU2P0jG/YrAjDm8iUquU5RV1gTSsKsWFTeeGP527ArRMfoQeWCbSOB7+G8U3l9dToHpCpyfI9t9S0unZlH43FNL42+6KIMdH08BHyGqYXYU0XOPF0fzQaJppDJ04sUxYk85I06LPkoPv+c07wuZNhxjlz9IQ1lVCW1XVVcCu0RFEVRxQInA1jlwlgb1MNH4pLeYSujyUN/nPXmASqntIL81Xhg1StnGXDMaY8d+zgjRhkAaNbcLrKvoZQLo8yi/q2IP12S7QL0++yTnPD6HPBrxkcswlvL3lzA2axv3RwE6Hi1iCfcMUU6/uZv0syyW3xstjvFDU2k4tRX78ml2ghf3fG44n1VzgrL2+8F0PO4TncpVls0ls2hQNx8RfeZEGsNQX/3/4TGdfyhH599xfeebVDjbv0NTOamFgl/1elKCOmGCL6Et2UIDZpVLAWKHObZgP+eRIHrhFHdQAany5aBQGj993eJYRRhE3QX87dzF9ObvVxUYYfSUKroEZk4A1+r5Jgq4D18uEFsf55z7BfBWjwA0vMFRibIUei++zLlM9GvqGTuZdPKlGkYNd+2gsZKfSkNHXdEC9+dECA2zraLNxBdFLtgzgVynzzTSiC/4CxVQ3jjywJO/Jo2m9tITHhFNulD90yLj6XiopFhPAFXEvBVUcgHRotT9CHltk2gdsORKX9qb+wq/QVWnJa+ko/C4cBT6Ctiu70wfZcPHlovkKBHpO3wPDdGMDNJ2ZzfF96XDSLcKLfpIMfli3A+I9FFbxchpZoYXY38SCOl5An14ThLXb0IPaS9hjDgijCcNHHuZcjR3lO9+d4qu8ZVHOXamnet0m9Ah4Yk0YK4N5bo/KBoZ3yFyEIPD6US/f7271/kcXb0ZMvIPzOwKGziiqjGzO1zXrRgEFbzPzKYO3v+A67o/9nvmC2aW57ru20Z3nkrj0dXwYCrXFhEh6XHJaJNFL5wdu3yF47R8EqOqNnmpgIS8KIZCemuTqHoIosFR00kPbcEfJ2Ksf/8BjP1eJLbenErF19tFxlUkUFAlKtvEkcdecfRw1RdEq4hfUpiliCOeM0ZBuGycAN464cFYUS+F3rKFXIOgDF+BtulhGg2jk2iYqUhNoOhQ/IQIY98kjkvKjlCJKBrIz2B0pL6Wc64S7ULGCENMNdxcksl16hGd3xMXUdm8/jjXfcoY8tnpEzScUkT12KZm8ktWDw22UWmiak20a/dvAPuowHe5yMMIh1dE11QbghW/G4ux/Z/Zj7GUBMqt8jpxtJjN7zomDJOpUymnOhu4Z309lIPRWTQwO2t5X0AQhcOhkyKCJ7CP2qs4l9pKGhM5s2h4BnooQ55ZxTVYIqrRutt9DUCVGK/az5Q0kB+nTCUdi/QrGa08dIzrlBRGI1Zdk0teGNLjnR9kU8/+q67vlDz83ju6MrMuM1tyLjKy4zirzeznrut+x8zMcZzPmtl3zezjZnadmYW6rjthMDH5mOM4jw4eaZnjOFfb/wEQvu0V1U8Pd8QltPZL1vK+ijYK4MqjZLQZ432F/Isnqahyesgs1yyhFX/oNQrz8UH83Hsd5rv8REQ9fv/5YxhbIvBNRgl0TSUcwwTSZ5cwCFPDGbL1T9o2M1vRzrEOtu+xKSJXJixWdPw9QiVcfIzGVGIi1zSomkpINec845cQuDxOJLUK4bi5kNGCWEGfheH8ruazFKyBIuElRER0Eq9jxO3Mr0UeSwT3ImYYpfKsLn5v3ArS7WERDSp6nJ5whnhvCG0Vyw+nE1B1kvx4/dVejAVdfTXGNt2wFmPJ9VQkEX7lu1dlk2+fLRFRzUiu0/ggGucNvyRMghkjOofr6DxECA0ZkUoaKCkXxyX7SI+TcngM29tNg2ODSDxesZL7o/CfWk9RXog0LTtZTCJ4nraj3baNz+sQOV6tJD0LDCYP+fPumRLKj8wUGlczlvH7VYJ/1XEap2GiRDw7nu9Y3UY+u2MRjbX3r3f3eifIyOeSQKT9X+K2a2aRjuME2UDScbeZNZuZOY4TZWZftAEwwCfOZ4IjRKnp9mcpRIaLtgNNHWTw7BABKOa3CpeKc/OYS3Mx9uxvKBwvnkPP/dA2Ghy3iNyRe9byvpvT6GkHR/Abqo5RguwWrXJndlIwzP8fGnZn/oegjI2FNM4ahdcbH0ept7WB3xZRLrBLIikcTonu0GniaG3hHCqw0Ak8blrsl9tR/iTnEZkjsIXOcM9Gi6jCvPmUyMUvc+029NGDnBtEo6F7D/NHpl3F5zXtF8nsyTSwIqp437G/UlCXCZiACIG4ESGS6PdtpiItCua6LI1jJOX1x6mYYp58+f9j7y2j67qu9e+5xewjWSzZkiXbsszMDHGYOWmgadOmbcqUwm3atL1lhjTFMMdxHMcYMzPLbDHDkSym/X6Qcq/P+T1J3CbVzb9v9hgZI1re++y115q85nwmxiZNZKSrRQDNhfn17Mo/Svlx8wjyrahbsE07yfPD2r0YU41JR8wkzVon6WzratLslUNI2xHZNBB2rhR5MaKFyIJu/t4vVvPbvnSdQGZ3SSv7D3HOEyZTgY9RRYpirEP0vBseTdpT1Vn+OWPzR1Ge7zpEI3HGSBqJO3fxu8bncD0fE4byJwZxjRcVUU+pPMK+vv6zM3TeIzKy4zg/sJ4y8Xozm9d7+0vWc6RVZmYRZvYF13XfClU8YmY/NxNlFb7v+x9k5B8OGGa3x/sS0U6hwGf91wyMxS/biDFVYTTysK9g7RAoUcm/oOC6TrQwcNLmYsyzj2Hs9GEUev3PMSKhQr2Dr6RiqTjJrRSOoY2fSCZ1q6nQYlO4Rf2uobFX8nMePTRWUoHf9AMK4Jo/H8BYlDAwGkRVRmgMP65FhMobi+ilxc313bfXhJd1fxQVsMpP+ZOXXuvnDtE4Tcrid006RiOkppvfmtnAZ5tLBfx/HTXzI2+Spr6TSgOhWyRa54bzexMyuN9VBaTRKfdQGQ7fKowaESWLFUnGCsOpsYyGU3GpB2OjJ/gZj0dxi3ULZbtH5GTNniqiuDtI25kpXoxtEngxe0WPrX6h3IspsQIL5yB5XqFe/3w313hsG99xjUgJaD1KQ2f0VNEOJ4bv/cFmvlep9MtaRO81kaD7ZDD55cZWPhvlFyVTgIH5osw7+k1G3OY8yO/a8VvqkM9fS546towG+2kTsraItO3ByIeXmdnbNRN/1+feLUfH7yUeM1tiPWXhRy4Yf8jMwnpzd2aY2afM7B7rid9uNrPLrKcJ6COu617VW4L++r+aozN7OC10ha1TWyMqNQQoVNgIX8XsRPG57gZ62k37KPSbRUVY3GhKUe9RMlp/EQk48BLnEiVQbOvb+N4JN1Bwla0XHmQDFb2ICNu0OBoNKuk0fJDIE/ByDZaIZL3LM6lIXhbeUpLwhBdMJl2ofjOBfvaAymsoEDgwNQIfZ9o4GjVb919cyXmsUN6767kXV1/LqFF7AZ8VYM7SW/7uUR7nfTKQC6VAMvfkCeV/Hb3UHUto7GYn8r4zlVzn8w73Y+YIASkhAFLUccnycF+l/v2v8Z6zP2VX6bpm0ZtKICiXGu9bfJPIO0nje0/8nsfVcfFcd3V8eeS3lD+jPsd1f+NXNBou/wrlSvGfRTTaS+WfIVoW9BOgkanXCsftDRpJqlluUy0N/g3CqYjpEnJgqq8ccAQ0yN92M0/ro5MoP1aKQo0rrqAcrD9Ax2t5OXnlVoHyvnwj33FHad+WYH+vD3N0/us95Og4jnOJiWbi7/rcP2Po9L7oO2bW5Lruzy4YyzCz5a7rjnQc5/fWg6nzZO+//c3MVppZfzP7tvVYYkFmlmhm21zXnftO7zszcjEmuL2WBB8vylRzLzKJs6nD18AYkCw82WupgFq2U8nVl4hO26Jzd1sDhbTnSjLfxt+IHIuJDAnv2EOvZWQaGTKiP4VKxRl65Fs6PBhL7KD3FCZyDEaL0lXV4Vk1bO03ijzQJSD2zxfQKCwU3vzJIHH+4HfNiKCySZvP7zqzgoZOZxc98rZOWhzZApq/upgRQYV58vhSgTXTLpqkfo37WP53Hns1N/E7knNEpOY09yx9AedXuYUyJDCI9+0rJ98mOwIWopvrd0Igek91aZxFR/H3/OH5M8Z5cU/JIR6P1ghDZ0gWjc4/ltFw/JpAxX3tVRoNE2P4eyV13McGYcUeFZGfj4njktKzNH6OdvIdk/uRRotruS61AdyL0aLyTqEqK/4u2sh1/lu3aIwrqsw8XSKyG+DLk0rDje/Pbz0ocqgGBlFGKf4edQ35p2435xY7iXL/wFKu8ezyF/vU0Hm4Dw2dh9+nZGTHca4zsxtd173j3e59L8jIQ1zXfQvS8WozO977/4VmNt9xnKes5+hqqpn9qheP54+9v5lpPRGdue/2/liBd3B5Nj2PimMXhzdT0kFPpsuvDVf/81QElUvIGHnCYu8vmvntqaGRdJlI/Ct5igbC1On0lFSYOCWEDBkicnnOl9NTShlBJo3fQ+E4OIz3+TdMNDPzzKCQCt5P47EyXyT1FdLja60X4eMyho/9Q9Zm2uMbF+u7l3X1pInaXQLTqJXzdUULN396MjPbe4K08qpIWv55B78/RsT7YwWd1T5PgLv2NiqR1DH8toK9HoyFBnN+B17l3haIZJaFg+kdTwnnsWldBde+pYn7fYNIIFaouPuPcZ0n+eWKFB/kPiaKvl5GMWNLi+lQPCAq1hp4Wm2LcvmDfxbtR+7OpCPz8woejz2UzfsayrgXqtFnlDhEcsXx5ejxzFtREctqL+XvbgG2l7aS/Jgiiis+I6oek+/iWu34GY1dj18O0XHh7NQL8NOsUP7WSiOtPCgAUVf9ljpD5Rs2rxNtWpz/+xydvrwuTE3pvR7r7W/5z14XNhN/x+ticnRSzOzx3jydt5CRX3cc52XHcXKs59i1wHoqrszMfm9mfzezI9bTyPPvvUbOv3S1VNICVpgxCpdmeCiZZcEXSOC1r/h6vSrX4Vw5Q+wK76PuMJmgvkwYTlspVLpFdMC/NLbnRg4pAy4tiIyW/Mmh/LkzxAFJ3UMDMyGdgqBbQJ8/9SKVQXEg90flCTQcpSEWIY7qRMN1CxcVSzMvofF4ZJXvXoYH8/cjE8RYuahA6RLdomNorGR+ewzG9n2b6+4KyP0rxlNBqurB6nIBDtgpEJmLqFhUZCosVBiJd4reRy+QX9TRQ4eo/qltpjJUyNprHqUBsyWM87tMMMeP/XI0buumU7DtJGk2WMQCPnIjZcrp17gXCu4iyUP+ESxgewoYIbpDRBZUdeitn8SQdT8tGn2ep/OV2UJabhSya46oEmqhHWqpjVQvkQmi/F8ws+oxFfkGDflWI108FeZLAzPE8e2JLvLK1DjKik9NphzsLuKEs0K5Tp4k7pk/OK2ZWUiLSKbs46u7D+NHFzbtVpfjOGvNjExg9k3XdZf23uPfTPwdr3/66KqvryNZV2KCg26jcCx+mUIkeRKZ6rn1ZIx6P/k7rpXCfNpHSPDFr/G+Ew0ejKUJIaUqk8qrKTBVTkB0OBVVfiOfTQzmnFtE2LV/JKNGKjm1W3BDVzeZ/oUAGqJXtXHOmYOoNBQuTZfoer31HBXTiAgvxpKGky78G1y31IpGrFmcx7YNjCJNFS0r9mwjjSnjJ2W86AZfLTxtYUyeO8njrESB0/JSAyMBd2Uw2hI2gGv8V5FMev+VPKLw7iafKbESN5t08eYzVDgRAlxxaJrAzMkWyMhevvhXp3wjECMF4OaYcC/GkkdzPVfspHERIj52oCNyVtLoeJwq5HHJKZF0OyVQGM/TxXHJMdKy6oml3pudRn78fi0dvPnCiEsT4DKBwlAMCeTe5lzOnKTa3ULupfEdnU3cy5IzvtHog92UjZcPpfNwMo9Hq6PmkO7K9lH/7G0iP4rCMbtxDN9bdUrgeJ18o0+Prv4rs++Orr6X/96OrnqbiX/SepqJv2Nh01vXBx4ZWV0dp+mhVHjpoXiKaaGrPjJT7vbd47YjfK5mnehh1Z8CJK6Bv581gef1DQUUFocDyUCDBX7Pa130oL8kqkFUIu7y40JQi6qHdmHAKKMrLpoC/TP9eUQRJAyYJ88yFP2przBUfOYXFA5KuRQLYy9JQDaF5vq+48RzjD5EVnIf536R+9Mt6C5+D9eksZnvOLyRUbihuYwS/jafBsdQ4QYH1ooIhMjZUKWw1xdTCV8uIqJVm6mo8ippTE2fSQPwky9T3DwokrRjIjmmQO9ObKVyGTKBiumuMF/+q2wVvdNuJk8VvcT1nJHIo5zn6gQmzWyuZ9lO0oDKd7kuh/R+Lo+GScj0XIzVbeF+Px9IOrvaoVw5XcJ3PCQSyFVxRWc16eIH4rj2S0nCmFrD9bu5kzwUv5Df8cQL5Pmr/dpHXJPtxT2qom7yQsr9L27lmnwnjr+3OJN7duoIZcPZA6TZQNFdvq+v/1daQLxdM/F3fe5fRUa+4N+/bGY/NbME13WrHce5w8y+csFPjDaz8a7rHnAc5zYz+4b15IeVmtmdruvSarngKhi/EBMME1n6tcUUXo91UGkuEsCU/kdQu1aLKiQREh81mYxRdIi5LUO/SEW1/YcUIB0it+NQGJXD0DbOZc4M5gls2sr3DvPwvYkjuCgBIg+orZDrHj6Ka1y5VnhenVRUMfFUaI8XUQnPauN9W0OpmD46nMImNEPgCy3xnXNcGH8/KJBrrI53htxN4Xvi71zPYJGcmz6RHrn3JBVfmzhSiInnO3aJflpKhI4QNKASYL0iAbY5gGvQIjzXaSFejKmWBZkjOJcugTwbtYAGette7vfR7fTKw/yiCDlXUj4eXiqOn0SvPNWgd4Tw+neI6N9+wcufvZcGwom/cn7hYeS9tNniSDee31H7Jo0ur4CUaFa5PGEqWkc5pdRI1o0kjFMCPc0jotuxw7jOKpKS+b1JGPvrV32PuDziZChWJDGrKy2M0SYF9Kkwsa7qR/2ws4b0OTuDTkHa9nV9GtH5VubtfWbpfD//mfdSdSWbib/rcxdh6DhmFnkhMrKZfc513R2O4wywnnYPw8xsgr/R4jjOKDNb6rpuVi+AYKmZDe81iH5iZs2u6z78Tu/PG3I5JrhRdM+9aSyFnopotIjy751+iX5DBJJxRxfzC4ZMooBTCKGqqqmljUKlslMkyMVQSCUOJfOpdgIn2vneOQJ4rKWec1Eln5tP0QhZKMolH9nN49WPBzP0nvGZgRjb9UOu6aQH6Qn/7U8YsniReFwqcpzu9EtmV53AU1O57uvKaEhEdvOdU0XjwthZNMTPvsJn80Q/sahumisqYrJnC5Xr9M+Tpl7+HYX8goE0lGMmiRLkFZxL4jDS44k9dBaUgkwVCLXqOlhBBZEWSGNPHYOcXOH7HSWd/K5gkcieGUVD9M9d5KkvJYkmtiIhf8vTfG+qQCBPziavqBYDCr9oiVC41wVyjVUBwr5d5NtCAfI418Ooo2cQnYVPHvJg7IFW8vLgAeT55gbel34lDcUXnye/DPdz9I8EcN3HiV55gyZznc4XUO4/XsV1enA6+adsDw2z50XT1emt5MdLKp7rU0Pnm31o6PzgPRg6/+r1LyMj9/79SzP7qpktfZvHbzOzZ3v/3+n9L9JxnBrrwdU5/W7vL20gM08UwFbPi47EH7mBhBtSRAIvrvVd93GRzCc5KPAkUku5fC0Cp1wJlZLDZNCpY8kspcd4n+q1MvgGjkWsoAB5Kp/HRVdHMqiWMEU0yztLofzqNv7e97/OOXfsonAs/D2TcfuFcv3W/I5jl4mu4Sl3UNF3F1EJ5a/ynV/2CP6WQk696WOki7PPUMCXllDZVL1IYVYi+iaJoJ4dD6Ww7RTRutw4Hgus+zW96mARlekQKOJnlvK+/ok0Lr51mOv+8SCulcrnam3m3g68h0ZS5G/4eyuDqMDC3xR5c36lygONe7YljAbh7OvI31/aTHoqKfJgrHsTZc/Me/h7Lz1FWhlwhN81QLQTUC1ubo4lDXgbqHBf20d5OdThusyLZcRN7VlwMg2Tn5dRThcU89nXKuhA3HUp17n5IOXP5UO5LhGjfHVGTgW/IfSKqRhreXkbxlR+0wyRw1lzmA50ZD/SbFo5GVwhV394vb/Xv4yM7DjO1WZW4rruQUcgCfdet1gPSrK5rtvhOM4DZnbYzJrM7JSZffpt3vc/5WffTRpht3h8mVJV+mQ0UJEooKgnBFDUDXG+5+5trVwWFbkIjCHTRlZTEZzdSyte4X2s3s+5zR8qumgLJVyaJ3B5RISjOYRj+4URF7iCxk9GLgVh3SEKuF/+jMJnRBuV4ZTBjEqE1DNkHV1JJaSSpVu3ETMmKJ57WePXpbhNrN2cu/ith//Od7Z3iyo+I13kRHoxNnUYDVvV16u5iwbRgGAK/T+2eDB2vVEoL/gq93vHf4sE/D+OxVj5d9dj7NMCQC59BseOr+f8lOjwvs5k6cgA8tC9yTSef19BbzvLz77KHSV6Gh0QyN3ruMYNdaLi06UhUVZMupi4gQptoCgOUMnIrSIpOCOSDlR0HOk2da7AOXqdCnzAMC/GLjbp/cAyGmzVgg/mi4qtxIMCmDGT+7jnNXp4cQJm4YVzvus3U8BCXDqRuVYKomTA9ZxbRT6/q6WK66SqQDME6ndrWZ8HOHD932cJ/XuvfxUZ+XNm9mczu8R13XrHcfLNbOKFR1eO40wxs7+4rjuq9+9g6wEOvN/MzprZb82s3HXd77/TO8+OugQTVCFw1XNJVRjljqOQ2+nXHG+m8CbaikmgxSc9GAsL4X2JQykY6ovIQJ4MCikVsu7ibdZULdokRHEuUUO5dttX8ligMYDKf0Ii12VbFQ2Y8ZEKgI9Mf3I596yxg0JkzGzu2UvbaRROEOHoKGFQ1vrh5qQP8OKeHYX0Mi//Eue76afc27xQ0l1OG/diWCLXqaaWwjY5lUcZEcn8vYOiUWNpIJXm+HB6uKpq74T4jmtE3oGis6ICD8Y8USTc5EkiPyqdzz7xDKMcCjRRdTQvLPf9vahgKsfkAVzjewWPvniJSsTl7ynU7waRy3TXKB65b9zLI+JLv+nBmHIo7hN4QztF6fw0gTS9VJSrJ4o+TAvupAH4xPOkn2sEvtDDZTSy7xB5k5MfpqGz7Hvkl8Wz+Y6AKF+6fWY1+WJRP8qUfQLvbOF0rlPZAfKoaplTXcKIW9b9NIjOr6CDlrxpQ59aPw/14dHVf38Qj64uvHpBAzdYT5RmkJm9Fc1JN7N9juNMdl33LbflVvvfYyszs7G9v3HGzMxxnBfM7Ovv9s5zAiK+UUDEq5LUISlkjJB0GgSNB3wlUNl23tMscHpi40jcx8rJLHsO8RvOBpGurj5EpanwcaZPEL2UbqKx0rSRnrEJ1FnV22vOSD67+TAF8DUfodDryOe6dImUcxUhirpVJBc+zP24Ywrnl7+bXmXcQErREwd998MjcJOGhlLxvfILrtOiXHrp3XkU0irfI/nBERirfJhCT/kiYaMZgZgQL44tVvC+gyLyM14cecSJIw+VVN5/MNclokyE9xtIy8niGOnokxiye77IPXrj59xbZXTFhvu+I1IYv+EpXOSfi95pq9+gopo6kFEK1UJlhDB2VVf7GSLS113MdRopwCDbBHbNgtspV44+R4NDnCxagKjGCcigHLj7HjL4kb96MHazSOif9CCdm+0P06C+6muMzDzyGzokI9p93xErGGhXLeX0nEFi3UUT5IBAjq06xzW5biHpoiufRnHURH5XX1//r1Rd/avXv4yM7Lpu4gX35NsFER3HcQLM7CYzm33BT5WY2XDHcRJc160ys0VmxhbZF3HNFhVGiiAfPUKv//oN9GYz/DAvEoZQeX/xKBnjF+kk2roqCkcF+KZydAZOp0CKPMh3nNpPIXVmP5XNgG4qudQygecSRIWhGuElGedy6CkKrhGXcA1KtlAoH2+iYdJxhMLh9qk0ajr5GdYlcH4U8FiOX97B3nqu5zQRvbo0iS8NThTRm2rSmEL47thKHM2caTTYj2wl7Z34i8h3cWjsTh9KXgnlbRY6exjGEjcdx1jeNq5VWrboM7eaSl1VKZ7eSCcgZw7X7x+/ppH0EdFPKiCedHvuj75r3yQKAXZup1E3awBp8bKFvG/nX7g/11zCZxWY6B8EPMHlApjSe5xznpzFd0SN4l6oa1Uwv2OyAKscP5LvOPBDygHVtmPaPXzvwcdJ3+XPeTHWZaSLrrOMroxtE8m96b5zjkznd23dTjopFP3tYmspG72NlGXzkunw7FnJvU2NocOTfsV/tpHxQbj+ZWTkd3lmtpkVu6579q0B13VLHcf5rpltchynw3rQlO95t5eHORdXBugtIPF9/m4+u+LPJGb/JtK5iRQqD50iwZccpbFy2TgaNarkfMi9DH/u/COFT3oclesegYtx/QAKAYUgXVbLEPPwCQzjRp2iMKsSHnmNy2iLu4prfETAsN+ygEp431oKh+ZSGk6xV9CTG5rJ7zh/hEJuZZGvkLtyqIgOidyEqCQBHqawUc5zH4uqSCvxAqgxQGAVpSWQBhLmUaHVbePv5Z8WfbLC+R0de05hLHRWDsZCdjK34fd/5/5cJaoFN++m1ztQ5Bqt2kAllNFNXm47QaXx3BIPxnL9lLDKR5iSSNpRV+M2Gmu1AXSoQhYyMvnnzUy+v1YAadY43NsxSZxfm2iVcehVET0O4X2fFIB5x47QMVJglaOuY8R278uMeLcfJ51Fh5EPVDuGIcl8dvuLNLIniX0rLPJdg1VV5NE5otvt0Cl855od4og8ltGr3aIlTaag7YoGyuTlr3B+X/4Vhv6t13+6qXUxVVeHzGzcu9yT6ff3BuvpceV/36Nm9ug/M8FYoQxUyV+VyG3Y+ld+3uIc0YOnyff3OisF1H8zGfn1QL5z3F4aEnMXUzmc+QdJa/AAgaAs0GTnLBE9VLzCqxbw+ukJfDYojutUVM/vyBWGxKgsfodCZz1XJcLspVReyrCLHk5PeMfvuUdjxlNpLCtm3sHi/twP/6uym8Kn4QCPpCoCaRTf8A9WdDT+7EWMvZbHuY0PoPJOm8jvWveCMJxEF+1x36FB+OZ3+W2zFnBN1vyIc5m7iGPVq/neDnG8nCvwe1JmkQbCN/DYa3czDTbVQFf1xIqZ76uEKpbwmE4VIKjmp4PuodOy8hz3J+hrNGriQkjHO0Vk5d5p/IZ9GxiGU8dKyWGUITUCTyw4jgaMqN2wwHC+o34vv/d4CI2QcXHkjXpRXu6Pc2RmtqOKRleu6LX3Z9HK4oujfNfvuOAz5UDv30b+TnEUJhhpe1Mo5VFoK/c2UiQoXxt1cUb2h9e/fn3gkZH7iXLW/HMUegMHUIimB3j5g8Jjjv/WYp+/H32QRwrq/PrzMwV2wi4K385qMoECpIudTsYoXCoac7byHQqMbfQCeihtJXzvwTUUoqOHMxTbKvB21ghgtJFR3IvjokzzykQu6vpTFFyD3hCGp0AGrs3n+kWLgGC/LF/hpfqJjWuh4v+JwHL5uEPDcftdmzAWH05lc9NljA7kLadBvUHk2cwSyrC9RrToOErFN0SlBAg8oFhRsdUhaHmoSKoOFA03i0V3+e4NnF99kzDYQrnODQ28b79IKB1d48sH20RbjFmxVDalAlTP/sF5/CCTR84RY+koLOgkMb7xMiMwFaIKSYFaJg2g4m+o5rNdotdTVyP3O3sQ5UXE/GyM7f8ZIxWxAkTPbeb37grh/C4ROD+zEnlk9mQ5I31XtVE/hI/yNUavj6FzGxhHI3bF66IFhGgr8702Gmu/GyvQ4JP5rXnL6Lim3Eqa7evr//dVV2+HjOw4zsNm9nEze0tCfMN13TfeDhnZzE6a2Ytmlm1mXWa2zHXdd01GfjPpFkxw3FQS1Ru7abXHCw73iHLEVj8wwOMhJOSrRAVB9Ggq/vxVZKBfGX/vPlE55XX5e6qEVB1vDPoG4eCP/Beb4I38HgXXwW+fxViRKJn1dHM9FWL0mJlUGsdEnonqe9MkKuXyg7h+t3yP3lfZr2ig7q6m8Lp0oS/9eI/SQDhTQmO6U7QSnTxXlKkKRaWuQ/V8xwshVJqPjvZi7PReetDDrydRbXqREQjV6f71ABpY88SxyviPcw1cocCPPylyjVy+Y5hAcW/uIg2MHMl1Pn2MNJUzkccKlcd9lUv6AtLsule5F0OjvRgraqCVmBop+uzlkG9L8/hsbQtppUxUyo0KozFwrpnGVH8RgSgRkb4ckWw/cAYNmCc30bgY0CEqsa6lsbtZHSOKIynV3uNsDQ3AykDSxUzRkiN2nK98PLKC82h1GZWZfAPXpGgV5xYexTXeXE2Hb7hDuujfn2uskpsz9q3t08qkL2fe1menVz/Lf7bPq67+ZWRkM7vUzBpd1/3ZOzx7ITJyhJlNcV13veM4IWb2ppn90HXdFe/0/tPDF2OCLzVReX32c6IPUQWZ6vxWRhuOnPL18I4I0DrVLXtxGJk7NpWCe8MJ5iZMF+i5e4vILOmiIeigcfyG+nyRKyPK8PuPoZe+7k0aDQuvEGX4r1MZxATy9xIEzsahqovzWubMokHZXi0QhI/RKy8J5BqkdVFZVwX4KpLccCqRmDiRPyMEUm0FPbRD7TQuxoiIRHQ/Gib9srme3tOkx3PlVARHQ6gg7xSJ3I44Qqk9RCWSMIP3rVpKA6skmHQ2tZN0WyIwh8aJ3JNGEalZ0k0jYXGHqEsWV2KCr9GxqlYopQ7SiVKGyqipbGLkZ8xkYZgJ4zRjMGXIvhPkx/7CQWsRaO0T7+B3tJ8j7eXv8WBsq9FwusLDqKOK1j1VwzXN6CBdJArnUzX/zErmuigoi/lZjGyW5PvyX0UHdYN651EBp/DAg+SpHT8jDbQLDZEjjLqyStKx6is4t+LFDw2d9/F6r8jI73b9DzJybwOu9b3/3+44zj7rKUt/x+u8yHC/MsiLsfpXSPD97hiJsZAjoguyn7K+ewKNkDO7qOQ7OihoFO7NoslUNnVn+F0K0j57ihdjThAZQymltnP8veLtFGaporGiiXesCefYw5/2YOyJ34gKmc/wFcVPcS9K9tLr/4Hw8P90pRdjxwVeRmYi7zvmJ5QXjqPgenoXSXO2CLEXCdiBxaOZ6Hm+nEZYeCyVV9FeCsLzIq/hnACVG95OI+l7oh3H5HbSreo+HX2GSm7WMNLyn0Rz1n4CMye9vxdj9ZVUQll3cuyzJ2kAn9hMY29AJp0Af4N/ej338USnAJW7mfctfcmDsTERF5f3ViiipIfE2o0IIN8+GUJj9zMhjBrlPU9aOeky2j1CtGS5cyL3VvHB/BCu8WfmUmZW7eYaRMXTEKsspEx63EtH5rNTyFcFez0YO+6HhH3dZ4XB/lsaXFPbSbPte6hXkqMo38oaKQde9FIeffqz5L2WDfkY6+vrP728/KIAAwUy8td6j67uMbMGM9tjZl9yXbfO77kzZnaN67pH/MY9ZrbPzBZeWJl1wb//DzLy1/qNnXBtxCCff8+ZQWt/+VYy5JVzBNiT6D9yzi8cnRhMgm8TRyrJ8RQ0ytCJG8LfWyUQmheNoaA5d4gGliOOrlRzxJeOUcDdeQvnXLeRir6mkpGKKNEaQ8HLp2d5MVaWzyjHmQ4Kh3H9efQQl8v3nj9HgdFQy7kcb+F7y/1ycu4UoGBdjdxI1Y4jYyHn5t9bycws51qR1FjGqMdLO0kXjSKceN9iGiGuAHdrPUeBrmg0cjgN7/YiKtyXDpKmLhHJ3VGJ/N7IS3hsuvrn5I2Z47gfvzvGdVE9gl4O59j3BvmuVbvAmmk+T8PxzSZGYG4VUBGlh6moB8zhd1XtJM2q6EhpBWl2f7DIbYkir/QfLLCFhvM7qlYKVOVk7lloLmn+0HM0plTPsieFsXKVS1mjunf3T+ERjzKK65o49mao7/yuFw5KXDJ///gZnhScF41t5yygUbf5TRo1k4YKfKV+lN3tdWTwlC3r+zTq8cXMW/vM0vlFft/28TL715GRH7Se3Jxq64nuPGJmKa7rfvSCe32QkS8YDzKzZWa2ynXdX73bO19NJmJjUTAJ497bqTRaDzBisPQoBXVah68ymH4ln9v3ugdjhSJ35CpxVPCU8IrUkULFQSrIllZxbNFOIyRMaC9PAD18dV5/+Ucp4NqOiZ4+Byj0Spo5l9nf8GCs6nG2NVPKRUHYe+bTc//BswJEMIBeqmqemj7I6/N3lwixd7RSKYVEUIlGCbC8Ti+NC/88ETOzbS00Ym+5lQroDy9Skd4vjLNd6yhss/rTAFYQA9lZpHlvBenR20z6UUek9aLz96xbqOSaD/N7VZPVTHHEc+Ykj0OHz6Dy377FN6o1YbjAuCnh/tSLaHKeI7p+C0N0drAXY8roLhDHfsPaSGezb+DvrVpC+lERt9piflv/gVT0e46wQm/Wbbxv87P8vSOiM/st/WkQKJ5XbUAURENdN589KfrA3Znja4z+8BS/a6RwXEd0U4eoVjO504VeEWXouSL/rKaL3zA2m45C6ra+NXS+0IeGzi8/6IaOmZnjON8xs6YLc3Mcx8k0s9dd1x15wdgvzazKdd0f+j3/N+vJ7fnsxbxvqTB0Ehx60aNuobI+9yp/L8ZDRbqv3NeS3xbGNbldtCUfONKLsdMHKaQV9H2AqLrqFqihqq9X8kgqjOAMKq/8ZXw2KeviOiNHzaTSdKIo4I7/jgooJprfm3KdwM9YT6WkQLuaumisKOCtsw1UJEfDKAiv8cORUZV94dkUhEdX8vfDg2nUZE6iB3lmpwdjDR2ifDmZhonKWWkWBlxyMvf2UCm91Lm3CoPjANczOJZ8cL5A5K+J3KXjhaIxZwDXKiWRc1bHFl/9HA2Moseo1GPiSXt5p3zXYNIN/FYnmoq1aSdpu6qQUcgQUVocP5Q05YSQH49t5jqNuobzC0wk7VW+RlpJup0KV/HosC/xSPNJUU01spPr+T2BD6NaY6xbTtqbfw2NhMAk8vzuP9HY84SJdi6iAjXDD0JDQY+MvJt7UfQS90w1lY4N4ZqsDuB9t3howMTPIv/8UDjRfd0m4T/d0PmXkZEdx0lxXfct1+g6MztywTMKGdkcx/m+mfUzs49d7ARTRd5Kh0jeqnqTTFAsPOZckQDa5edS5AiY+/WCkG/1UiANm0XhU3OUCq2kmoo/OoTGWvZifv8nVlMw/Lad7z3WSqGXZFQskZNpnDVuIZN2tXFd6tqplGIErL/bwv3Zeo4VHSNEOWdVk0i0FijI66mr7PIWEa3yC0d/uYB08tVC0cLA5T6eNr70Dq8XY8Pu4Nq9+iR/L0uIgOBgIfSFcm2q5zoNCKVS2vAclfXMWaTl2jwqkagE7u2uPNFJvT+Va3AYvyP+WhHy/z0t7+pnWBkYQZaU5dWDB/gq1wOvkH/UlZ5EpZQm8rk2qU7yJ/n9xbXk+cn3cB9feooGwvhgGs9Zt3ABtv+CDtnI4V6MdZ3lXriOB2OhQZzfki8N5NhPSGfXfpy8d/AvpL2Rl9P4aTJRvCBSCUMd0sqaet/1u3Ue87teeoJ7NloY4oMSKVdVJeekbsqL/hMxZCWrOfalHEZn+/r6sLzccUab2eNmdiEy8vccx3nSevpXuWaWb2afeMvwcRxnrpn9yHXdqRf8TrqZFZnZcTN7S+v9znXdv7zT+8tmzsMETwisFXWWOv+T/L1zT1Cgp47yHdu6k0wQKtZpwmSGwMPGMUz66l84NxGosWzRrXPkZV6MuSI3oXgnvZbCJgqVKAGUVSGQWIPV9w6g8VNXRU87fQyNqZJDFPJRMfze6mrOOTKMArP/QCqcsHSu8w830xD79vW+Qrm7XoBSHuM6tTczOhSdyrlt30/6yY7kmgx6iMjDrSv2YUyV5qclU/GVV1LxBYn8h8Ez+KzKSTq6l2s3ZDCjcJG5NAhWCUySS4U3f2YFaS8iQjTdnMn5VW4lE6mcl8QrPT5/P/4EDcIIIemvv5T0XrqZ39o/g0q+toh8kThKVPJFkWZ/I44gHxjO6NXW/azmHCM6uq8Rpc83TGCuUWMJ57KujPIss5NOy+Rv0Fn688/Jo1eJprB7heFwxddJy0+LBrrzPfzepEt89/f0y7jF0oeRBypPU/Y81+Xhw+L63AjuT/jsLIy17TmHsX+IvLwvFD7Vp1GPz/VhROfX/y8cXfX1VTB+ISYYmUDreb9ArU2OoHeTdS8VbtlzvsI7aT4VWsU6Kr6158mg12WT4PeLJo9pERSOKcOoDJXSjBQNTFtFeaNKqu4U0bBBQ+l97jpOATcmnUKqQyDKbq/lusxIEEpDJF3Ge7guhwXezBRRnn+qkMJWIRdHdftqtdGpFJZVlRR6CYniyFBEKUoL+V21HYw0jBoiMHiKRBfxdo6lu1Q2Q0fxO04doZGUO5MGx+5NpNEBMaRHTxKV9TOFVLhXRdIgSpmDISsVTZpT5/O+06/TIBp8NeXA8SU0Yqo6fcdUTsTjJaIpYyj5Qh05K1wrVYAQOoEKbZtA+M6IoxKO9IiWLKXCkREFA9VeOkGj7uc6LXmMcs/LIVl1lXErDbvil0WRQz3vOxHAqGiIUEuDXNLexhA+e2WA7/plf44y9OQv6aT+Rjh834oWTfXE5QjAxPY2ysaTXg/GJueKJs3rN/apMfDZTOLV/buu3+Q//8E7uvq/vlSOwcQIKrlpd1EQPPUcFU7wUxReA27yNX5e/AeFwMRQL8aaxHaFptGQiDlBgZx1OxXf5r9QILUG8PcywihAVELfoBv47F9foKDJzaBgHVLKsfBYCuXTh2hcXDGbxl67QDmvrqBgqRatLCYkKQNLSGBxDQmg4eT6LVZZuWinIAyuX4uOx/81jUoz7jwN7Ihm0kBTLb91ucAyubEfaVZVBOVS71lDt0hm30G+yE6g8lKYS0FJnN+IU6SLinZOpvY1GgkVAlun8hXycrCITHWUeDGWcznncmiFL18NFTT26YWiLYjoifDqG4xy3fAAHz2/mjzw97/w9+4aTVkWwOnZzj10POZ8gvd1ldHAOrKMa/z3f3Bvb+7iGs/PJO+pxqEFz5HmD4rUgbECNT1QtKrJDWTkXeH8XC/6trW0+NK8W8N3DprP+X5+PXV9ZQ3peNR9VJt5fyfNtguco7pAjp3II00xBvfh9V6ui8nRkcjIvf/2oJl9xsw6zWy567pf7R0fbWZ/MrMY6zn+m+S6bmsvUODvzGxu7/g3XdcVgcX/vUTTa4s7TSEfU0JPJr6ThKs6kx/4q6/yXyC6Fu8spsd791iGf4++ScNsxDwyY/tJzm3apaKHyioyQVULjZXXwylEFz2JIbs1lwK4YCMFyMBpNKZ+up1e723iSCZkKNegZK/ACIrgs1ExopRcNP071cI5twVyDbyiumJ4jNfn77gBpInwUTR+vrCV1trLm7kmpSI5d04bBeGI4VQid5VT8anjmAjqAYkpskLkLQ3s5tpNqKLy+vVWGsqXt4jkeNFfqaiNRrtH5DHMmUdeU9cJ0eW8o45zaa3gO/zL86MTSWNPrRZYQKJ9SK5DWikXSv43jZQXXx/IXIxuUfEXMYdzcfdwMk6MqOT7E4YsK5zEku3S2O0wGokxU0krtZtENFr0mSvexGfj0vnsYuPYuhNcg+IQrkHyJPKVBfnSwKOPCzTrTpoSoaINSrxog7L1MRE9DxNVrzGi83kNHY9doXSsZ2Pk33v9p+foXExEp83M5l+IjOw4zgozCzeza8xstOu6bY7jJJr9T/n4U2b2Edd1DzqO09/sf6jlm2ZW6bru0N6EZZr8fldyN5X/KWEVZzZTYASLkHJTBT/ZHwFVRQsW30Kl/PKLLFUfHUyh0llLMmqu4TzamwXE+SyRB3T31RjL+OoqjJ1uETDqBcJA6BBrUsK1+4JImntBYPVELad3nHG16MFTQWNq9zoadoME0NyC2XzH0rX0eheOomFXne+rIII9osFhnGoIRYV26wMUeu0H2NCxTQQMRCGf7Eitjh5GCIVb1Uar5p5QUf0j+CLralEpt1kAC94oolBPi6M1o+LrH8MP9ubxe4NCqdC2BdG4zzRGulrPU5HM6Pals9dPU4kqZOTR02mIBoQJYM5y8vfNoieYarzrn09iZubWc28n5jIq8fSvBJifiMwFCQPh+lYaCLEjSQNOJA2CYNFcs/4U171Z9KN78gzlxScEnEc/kSP3bVFZW7Fc4Jtd48u7twsDMyKbc3NEifzZlSKfS1THpg4WeW+ieCP5PPkxVfDjh9f7e/2zODoR1tMC4gEz+5KZPea67lq/ey43s9td171TPF9kZsNc1yUnv831YsodmGCTCClfKnJjVDXNw5F89f463yOJbULQfrYfmVEBbOUdZDSjRWCKDBHw4AqnpVMwS1sLf69UYKMMH0lBfb6CBkdgEAW1t45KMzSEwnvgPTzO2f2bi4Pm7xfK9Rs4xoux0iM0OrZ20iOd0M29PenSSFg8xjcSV3acvx8UxL0oa2AYe+x0WjAbROQrWuRVTb6UeSznj5Mfw+P57Ma9fEe3OL/MCaOBrkrT4+O4dqXVpKlRc0i3BzaQBgKF8C51qDRUrpECkMsewffWFZNGg4VS9wcvVEdDx/eSb1MSuHY7a3jfLBEBjruF4Ihnf8f7wiMYMaito1EXHsr7tnR4MDaig8ZKrfGDVefzVmGYVIiGt1HC/V88iMZE4Vk6WorOYlI4572H6LTECFywtBQaGKdLfCP+af1omClIgDfr6GQNE+X1aj0XfYG0ffjXnFuIkCsZ47wYi1vatzk6n8q8uc+srT/kv/DBzNERyMg7HccZamazHMf5gfUU/n3Zdd3dZjbUzFzHcVaZWYKZPee67k96wQbNzB7prco6Y2afcV0XmuJCZOSfDRtid6X7Ev3hQ/QyFIz476bTu+luJZdGb/MlvvsCLi7pdNkReicFoaSXS0VPHlUeHSTeERTK+e4tJUNOGkiFW3Cchl6eUfGHi5DtrCEUXLtPUvi0PEpm9ggcotMioTZVNCztPM91iU/jfkwppFCOT+V9XSUiWnMRPTfTF3OsZSmVssAYswWLuRdB6dyLwhcoHFuFEWLidEeF1IcO4dFaQxU/dsBUkeMl8IY6tvLjVJ+sSFGCfMAhnV2SyGO58Fh+x86jTB4NyqPSVIn1I67mnDv8tuPQNvLPiNF0CopPeDA2N4uJoyqBfM3PyfPTIsnLydfRYG9/jvsTIpyvq6I5lzoB8ljVTMW88D7u2Ykn6HgMEoB5qSKnL2o06Sy6jPyiLmFfWYg4TCkVYKf7qmjsTgr0pYHkcdyLoAF0biKe4TzShLG7pUHI36X5GMscKozJBqrcF/eKKBen8uH1Hq6LMnRc1+0ys7FvISM7jjOy99lYM5tqZpPM7AXHcbJ6x2f2jjWb2ZuO4+w1s4PW09tqq+u6X3Qc54tm9jMz+4h432Nm9piZ2Z70a92CPN9/T46iV9ApwonqXD8zh56hfzO3abPIGI0nMWSXD2EUKWI0vf6SlWTakirRTiCUhpk6zlIoyOrIo584I14smuVVieOs6MXEypgnuhtXr6BiqRBlzqNEQm2QiCSF0GG2vC00EhpFku35Igr00fMYNQns5yscawTab/MrVCz1AtU0O5lK6ZsbGeG4WRjYIyaJ46cTNBDUFSNK8186x6OMKSLK1U8krIZlUCivFcmkd8d6MTbsJirN0uf4veUi6Tu6XoB/JovWBlNpiAX0J51t/osHY3mhvvtx12Tm1hUdosGhytzVlZxBZXitUJD7ttBBK3+M6/TzUMqyhxpFT7A4yrJq0RKhRBin3nV8Nj6JRs0j1aSBH/UXpf6bVJYH39spMMrU8fekINJtWjQdo92tHozN9utdqIzzoqU0sEPE6caZStFPTdRBVJaQFrMuEXwm2rQMeePi6Ozfef2nH579U1VXvaCBG6ync3mxmb3S2/Rzl+M43WYW3zu+0XXdajMzx3HeMLPxZrbOegyfJb0/96KZ3fdu7zzs0nCYGkClGRlOYsm6hIy7+hmG/P2hLFQCsLoaRUXUmCIvxkJF/51yEcYvLmUC47zBjKykNtG4OFfjwZg6Gtm+klGZxBAByniMRlxgApVwYwO/Q+He/KOVAuNbN1DYFL0oEh0Feu6xchoTzSaiIeKYs+WU7/dmD+Q84i4TCdUvejG2cyXvu154o0OGcC9aqykx9zeKvCpxfJB8nqKpWtTkZo0mr5w9QOWVHcv7hrdzHw+9QKNw2CTRgTyAhkO+aGqZ28W1D/dwbM2rXOcFlzEKkxQqSqnTfBVkYAT5tqaVcxs5iHQX85mFGDv15Z0Yi6zl2o3MZaSv7ByNvx8Kms28lgbh9udFw9b5fMdY8Xsr1lMOZLhUzJ8I5F64tGvlMWdshMj7ElhCl58Sx7+iU/mwBn7H9SIXLDLOd+2VofNsB/nsetEkVUEHTBA4YaFTMzFW/SJlt2eE4NEUOrgfXu/v9S8jI1tPR/P5Zrah9xgrxHp6X60ys6/25vO0m9kcM/ul67qu4zjLrKfiap2ZLTCzY+/2/huvooJY+hqV3Lx4hnFrNtDAmJpFYt6Y7xsqV7gGIhdSXkHxXFKVJDt/oAg7i0aam0/RMFPn5nMjvRgLiGQEIj2SEYiyJnGctYsCLlqcrzcKj2qLWKxv3kjh0N1Epg8TOQvKmJo8muu3W5zrtxbR6Aj208F5R4RR81fu47VTBTTrMS+GOkV38LOiUnDM7VSGNcUi/yxCAO3V0ZD44qUUmK1sMSYjfY/s59p9VGA9xcTy2dN7+W1T42j8qKRY1fuopoj0qI4Dt7/BfasJ5L6dyfd1lubG0Iif/pNBGNv9NdJO0WePYywngPvdJdp27Kuh3Jo/XgDNzRuCsfb9RIYOFMfQCji0o5Pzu/JGHj/tf4HGXuZAGsA79/FoMUcgYRfX0Ihr2EJeHnmlMDDewJA1iIhqnMAKC4v2lSEHlwscLhEVj8+kbDyST6d30z7y3t1posmuSE8o3cFvOCScm0yM/Huv//Tu5RcT0Ukxs8d783TeQkZ+vbdU/G+O4xyxHoPm7t7oTp3jOL8ws93WExF7w3Xd5b2/9TUze9JxnF9ZT1PQe9/t5W0FFKwR3STS8GQK0erjJKqoNCrSywb4Ks3DGylAx95Kz2HNc/RiFt1MhX6FKENXBtG6YjJQmijJHSi84CcDOZc7V4icFcF8L4RzPe8VofKODgrMUJFcN13kJP3pJQq929Lp8aysEcBtItFc5U9MyGUOiPKY04b6CvkJE5kEk1vJ/anJo5Aur+O6j55D4zwtjAK5aT9d46kuvc+kCaKCqZZz/tVKHl1d1snoX0o6ldxHW2nUeFv4vcdauZ4LJ3J/BFC5/UIg+Srxeq8w7AJiRdVVP/LaiVYqtTmOryJdf4jrlHDgDMbGzuU+Ohtp1CUP4DwO5jMi4RHl2yqpvGsf+SeumzLpdLCodGomPQ4SWAQdBRwLF+CaIdHieFlELLfUc343XMf1++MKGnvZp3lfjmiI+VuRW/fYN2mgnvlvX+t+9CLRP+40KU/lQ44RoJ5DRPWcCWNXRSZPlgmnIE2UZH54va/XBx4ZWbWACBKK+Xw5hXL8ZH7bi6sogOb6wYgnzifDP/OKB2NZHSRkVbkwaw4VcOkeCu7QcArCvzSSMT4eTcFQJYCthkwSlV1DPBgreZ2Rha4OfkdULJV1UIjAeOGRu7VXi/vGi2RpkRA44ltUTKd/nI+xrNsEAOEKEUny67/ReJ60s1zgjPgjrprpNhaqem73OR4zzJ5CQy8gigKzfDclvMqf+chcGj9r1vK9l/8Xny34BRW9QkFWibcqP27oZVRU1TswJCuMyjppZKso64/PMQo1uEtE4gb4rvPus3wuzsgD4SLJ+pg4SldKWUnVKHGkWy/yw1TbjsQEGiarainLKJHMrkkiXcRO5xrXbiEt19VwfzImk6fK9jGSVNLItfIGcH8WX8no36OrGUlZ5HIN0nO8GDtwyJfmU0SlbbFojxPtcL9Vg9UV4kQhQkSIcmJpYMWIXnHhg8jz/R5/s08rkz6ReVOfGQJ/yn/xg1l19X951VeSIWNTKVjip3Ptmo6S7RenUWD62yateSTGCWKphooKj/Ziet/Bo6j5D28iXc0dQMU3s4r3JX+GicJ7RZVH204Ki5Ddon1EF5l+zEwKn2d30eC4QURbdm+gAJ58CY2zU89TOESGUdi4pfR4UoZQ2L74BNd5ejT3qOG8r3JROUVDmrnuKWP5zjaBkX/iLAVhiwAzrDhG5ZA0XADS1fO+u67l/lRuFnhIouS8YwdPjNMX0UhsOsI1UEaNqn5qOS0APKfSoCxZxjkLNH1bdZJ7e1kn+XvMSEZPa/2OwmYJA9MRx8HF+2jUBYpCouwxdCh27aMxNepOrnH9WtJ2ZzvXc2cJDdYqkZN1V3/+njpCOb+HdNYqjC517LV6C6NQC8UR3K4DPJK5ajz3J285nbmPTeJ9S0R10sFj3KNZCb68oRC+k2sF8rKIOL4serY1Cq1ZJBKUp2UKmSzkxcFVdDw+BAx8f68PvKHTL5HEos7wuwpEZ+0WhtlDAqjo/TE/DonSWP+oj5nZw2tIoN8cQe+pcS2FwIyBnG/0lYMxNtE5hTFX4D2MFJVoUR5K5ScqKTBv8dAIKT9ET66/QJpee5LGT6wI0avIQpLAUDneSaMraZ8wpkQ+ziCRmOhtoKHsj9OS30hhGS88/E7R8yNAoCB3imqT2Rmkiz+WcU2+Ko5g4yMF6F8oo44FNaTbaQmk2xIBN54+X+RkXZaBsQ1/5PzuHUOlJPrTmhNORb8mjMbP3BbOZYGATygu8GCsoYzfFuGHth0Uz3l0VnO/My8jHaec4bcqHKZZ13kxtvlPHozVBFK5Roqj+ZNcJpvbRnoP68e1yz9BQ6JfFDdI9fE6IvKArr+UEery7ZQXs+NE3opIZFaG4pk9lK0lQeS1L32cPJn3qC/PRxZxncryPRibMYYG8Plykf6QSFrZcZh5Sz/P495eL471R07jOn14vb/XxXQvly0gHMd53szear/sMTOv67pje595uxYQE8zsH9aDqvyGmX3OfZcJNNy3CP9evYvE3SCS/5Q3EhVBok+Z7Mv0Tcz7s5AoCvgnTtDDaBJZ+kmiVfm1g6m8G6vF8ds4SobWIs6lrpSC5niDB2NzBeR+0Q4aF3vaeXRzxTAK+UcFyuyNQV6MKUVas4trdbCCHtRIUUZ7uobeYrA4MFBgYcmTfPf78JsUqvEiEqQAAyfdJjpSC1TlH/6Nc5vayjGFJjvAqJQGDmRYXOGRHDxLozjCSD/hgRwrElVSC2czIrpDRPA8gVQGKp+rto18GykqfXKmMdk1bxsVeLSIzvmDPyqsot+II5XR3fz+q2NoOO4RScZJ3ZyHKH6S8AedXhocJ/aTL04Fcu2UcVFTS2NFycHIfhwLFXJPySkFYtpftFapKiQPHW+hrFl8E4+JN7xAh6RaoOTf8lXfd/zXL/lb35xAOViwh3yrWpmoY6q/h5FmvyYADpXxfHgJZff0spf79HjnY5k39tnR1V/yX/pAHl3JFhCu697y1g2O4/zczOp7//+dWkD80XqAAHdYj6FzqZmteKeX1+3n+kf2JwEVVpJZmsTnHW0W0aCNvn/fciuVY1ueF2Pzjfd5PFSQsSNFzsZaKocYIeCdA0woTrpV9Ff6E5k510NlqCD3z7fSa0npJkNWnqOgWSC8Sk8a1+Dsaj7b1CY6Uov+V80C8GxglNgj0cpCHfu0bPZVdO0uhWXqVH5X/ZtULBWrqdDq6vn9A1WU8EYq79OvUQmr4yKVOFlXRoGp8g5UYn3Ba8IQS/BiTJXq5oVy3W8WVSgq+jUog/u4ZAO94527+W2XiUjkgF9cjrGqby/1+dsVPbK+Hsx9TLuKa+x4yLeXV3AfD79IY0CVKrfQd7CGapG/J/KFisR6qvYZqrlk9Xm+I3EoDZNT+2lMHnf47IJUGg5nRCSppZu0cjqM+zFuHWXhkBjKuAnxdDR+/gtf+vmmKDY4sZ3OTbloMDt1KA37Z/Pp3H0vhrI2bjT37PhS6qnh8z8sL/93X+9q6PRGXN7StsG9//0PhzmO45jZzdZTam5mdomZHXJd92Dv8zW996WYWYzrutt7/37CzK61dzF0IoRRE5LKaU+cRKIKupo9oQ7csgRjmdm+gqpwiSi3jqKyLRO9harLySxDA0VTT3G8oUxqJbgaVlA6Zi0QgGpCAW1eQuGjrkRRtpk4iEqp/STfe+AMlUGywOrJyKCCCBaJ5gpNVCVLi1ZUlpVIQ/HNMt9jr6tEVdye1TxWSo3h98dmc53eFN73gA7R4Xsd93arSwE8SSS7Hj/Bd+SKJqFxomHi5md57Hc2hGt8TTf3rLuVc14gkrTbRCJDfqUHY0M7aKxMCBZ9g0QeUNJkyobjn3gTY43tvtE/1Yrikuk8tjj3Er8hKasAY6ePMaITJgyTpg5RJSUqeFRn+umBdAA+fwX5pzmP7x0h2naYyEl6ahMj1Hdfy2drX+acTxVyzpGBnEugyAaZ1Mp9PCNwt0Zkkb73nyGfDvUjldoT3O88YayNC+UatzdTvt0zidH4N7fR+WxbzzW+Wqxn87H/+wyZ//sZ/Huvf7kFxAX/PMvMKlzXfSuZRLaAMLM06wETfOsq7h1T7/ufFhDfjhtlN0b75gocPirAyIJpJnxs918xljOD72vM9yXmpGFUjm11FLQrw/nO+aIh6JkSKq8Z83nO3XiWjNH/G5dirPr7bODpBHF+25d4MDZ5LL0bEbyxP4gjqQe6vBg7Ijph7wqn4PqvbD6rmmmW7Gdou0UcNWSNp5CvP0jD85hI4lyQ5rsGRw7weOesKN3NFEan9xwN21FdNBDygjm30dFcJ48XQzLZd1AavcCwgWTngo0U6CeEAXyLKPX3inYC3mrOpbqF36aiUHGixP5kPo0E10gXSaJyJnjGaIxlePdhrK3Gdy4jU8i3XQ0ichzFyFfhCSrgbIG2rnrUqYajTY00GopErkxqNo2/N1+h+BwVL1onnCGNDr6e94nuNbb3ZfLjMUE/c7q4P+c7+b0pMZStqqN5aCrlaHcz+S+nnnLgRI2vvA0WBQ5hImPC20qDKDNb9MmaNwZjcxsPYCx0EPli98s8HhsxXHhoH17v6/Uvt4BwXfdI7z/fZmbP+v2magFBc/ltkKcvbAFRMH6ha+arOIYLYTsvjT8fIoIXWzbTm513t69Aaz1EwdVQTaL9zggaK4ExIin6GJdZjf2qnhO+73ObMZaaIzylLBomY4bnYyzyizdhbMtdfMdtAik3PJuC64pIRkPaDtIzVEmiK06KBokB3MeVAoAwV5Tnx3RTEM6fTu/rmT2+87ttIr9hsEAt9lbxnbvbPBi76U4K7ponObewOI7d8CnuY9tKIu+qvKrCVRTUI6Ywp2TMDtKyajWyS3jV85JI8xkLaRD8XpQH35lIIzte9JXbXkgeTRHHPtu/zWOF7BQaDl1+bQfKC0mLLweIRO4WvnNYAvlCdUO/SaA2b3+dRt3IaBqsHw9llEv1/7pENJJc+UvKkNxoL8Y6S6hcrxJgqk8U8NuuDOKco5NoxKaL49W8U+T5lWfoCN7SRsP7wBnSRaY4wp55ie/a1+fhFhvsiMpd0c4leLSomP0e5cWLIdyfTxYJtPEc0sUjAnridxj5917uh4CB/3v5tYA40puPc72ZTbjgtrdrAfGU9fS6eutKNzNKKr+rQ0RIVGVO9gjhRS/nfXOuohHTesBXUO8/QMKbtJAK49QGMmhiEhmvRlTDxMdTGX5EdMpVVWcdTTSmgkXLhqPHeISU/dCrGBslDKewNHrVR97g9zaJM/cRAZzzDi8FXHYX39sgjhU+L8K93r2ibcOlFPJ1q0k/t/sZNh0iZ6O6XFR/DeDe3nwZ1+TLf6ZB+P1JJPXDu2gMxOUdxVhQIA2s7IdYodd9hscqqx+n118keil1lfE7FovGriqUX7yO3zu/g4pEHW+MmchqqildNKaeqaKS+7QApGs+wVyb0jMen7+T0mlMf/MTuRhrW70LYy0FVAgDq0iLp1fSmDwbQjqbFMX5VlYwSqryU2peotIcEk5aUQ1Bf7eLdHGDKCLgk7qwYM9r3NtWcTw/43Lu2dha/t53D3K/v5jGZ2XT49W+BuXJEBq/N4t+Z+WHyPO/eIwrMEEgNH/3LlFY8Wf+XlwOZfxHTiv0ow+v9/O6mKor/xYQq83sx73oyJea2UOu68654P5YM3vTeqI67Wa20npaQCx3HGe3mT1oZjutJxn5t67rCrDv/72eT7kDE0wXZckj5lEZdjWQCSqOk/j8gfo8GSTGFuHhBwtguLB0Kv7aQ2T4cFEGGpFLJR+YRi/wwB/4/WM/J5pBtlGI/v7v/I5bE+hpd7bxvrjhnPPeDVTWQwZQIBUVMzqQlkzhHRpF4ydUNBEsP8J9VFUjP62lAL66xVfhJITSMMv5LA0zt47zrV/Pb32tiEpkbji9u9Y20sqQ+z0YO/x7epoDM+lVq6ijf8WRmabvwCgq4bUCLyVNVICpBqvDBtAxCBTHy/2mcR+3PU1lPWk2jZ+uRtEdulaAr43zVUwnXmdEJ0Ss02FReahyLKo289njlTQcVVVglkj49m9hYGZWVcp1etER4IUid21GLPfCERGyttaL83sPNF1cP7bLIskbBbVc06FpXNMTJZR7BcGc35Qg8mRViy/9jJ1M2jm+m/xdbQr+gHv7XRHJ//ZROpX/LXKjqvfyG2KHkKfilmzs08qkuzNv6LOQzuP5fVtRZvYeWkD0/tut5ntsZa7rvlMLiAfsf8vLV9i7JCKbmTUKoLWEaAp+laNSdOTiUFyL/XBUMjoFAm4slejpPDJL5FkaF4Pm07vd/gajRpEnqeQz0slUIxdhyL72Jwr4709R+AxUXrETRZLkCSr/VZsYxl4kjoZ2bKM3lh3LNW3wUuGcqOAZdss50kBiJ9dqpKjA+IooTfc3pkrPUfg2vMYmUVtE37HKIJlmhuuEKPXPChfJ3fsKMbY7kOseWkwB3CbgFHaLaNDc49yLZpEHtWAy93bvDtLtjPtpiJ55ku8taKVinjtJtCIQlWJ7NlGRTJhK3ogZ++60HBRIhXagQyBhC9C6/BWkz/wWD8bSQwVaslAlqb+7BWO7b6VYHDWDxsrnG7iPqjVKfhXHJl8nEr7ryT/52yhDx0XRyG4X/d1UlVlSONelpopOmnI+xg7xYuzEUQFHMZx04X9Fh1Gej7leNGJdzft276F8myXK3I+sokGo3hvdIECnPrze1+sD3wKiaNICTLBO5EoIAFhb1UXh1Snu++hgv6MMEZ6PHkmbsClPeF7FFOZZ1/OlnSUU8MW7yfBnmilYc0X+jD/ar5lZ6kAKs/xz9DTH/WIkxs59aw/GwkWYXXURn3kpDayTa/kdqudS3D0jMHb8h1T+rZ2ilNxlRGzxfdyjho2+nubThTRWjgdQ+Pwoh8qm/TwNZ7XGOePp3R7bSyGtSt2nfprf2rxZNIMcz+hV0Suiek6UEa/dR2Nqbg6PrkI4Zdu9icZPiDz04KWSqlVUT2EEBUUKsEYB6uifQ3N1Lg2Y1/KYi3HDLIGgLMrr96/kfhcHikof0S5lTgvHBsTwaK1WlIMrpVkvEmrLxXFwqoiKl6n7RARv7NdJBEd/wiPIpBR+h4rqRQ7k2PmzogVNpsB62k1DrMIvotPsiCifS7mQEksHuqae6x4bJQA8hV5RDYrDYylDlcM8o7xvsWY+knF9nxkCTxa88oGM6PyfXsHhJO5QkUWfKHJ0PhZGgR4QRY9vx6u+FvqMB7gP554QmDkJnMeJNir0QSJCFJRF4ZjSSGUYdo7MkvYVZv1/77tUfLeUUIgOHc13VPx4G98xnc8eFEjQcz9NgVT4JAXmgGwqtLJ8GqJ5D9NIGpxML/BEOZV6lCiS7MhnRGfDWd/EwVvSeHS3RVRrqWaQJ0V/vwcv5zeUbKIRO2Qo9yJUGBL7/iBaSrj0Kk8fJzuPEUcZmTfSsE3Ze45zSRFtK/bToE4OJ59drOMxfgLnt24ZEzsrRMT2jtv43rrlpJXsDl+lrlBshwmFHjJlKMa6TtNIChNgi4MF1kF3B5Xm3jB+1/RrBQzyq/y95NEci8ijIs3qR8dIJcKPzqbRoJp/bvkhZei0m2g4tZ4Qx9CZ/DaVuP65h8jfHduPYKy2hfQ4bqxvRKe+hPeUVvNb1dH3FtFrMLRJVFCGiChpC9fJW8YoT1UA7/vwen+v94KMPNbMHjWzMDPrNLNPua67y3GcTDPLM7MTvT+xw3XdT/r95mtmluW6LiWu37U1mYiN/hD+ZmZNXSSWWoF2OlKEXf2RUgfkenFPaLYotd1NobKsnArohsEUjoeOiZYIIqwbEcF3JF/DqFHNKjLaWtHuYbRL5ZAxjIJQRbXOnBNItCGcn9qf060ULGkianIkgOs8UDRPXRFOTTqvlWMqiTNplO86O0LZFG6lYRIpIloJAq6gZB3XTqHxpoqS+x0CNl41nFwZRgvrm1+hIerWkN67SmhgbXmVAjhFHB8ocdEhAOmOCZySqRGks7Z28uiJdtLKOZHIO7mV6zJ+LqNu/sjNw0X+0BrBt9eMIt8KwGMLy6LyLljLseTBjHCowoLN52iIXfUVrmfVUzROVXKuysepr6Ky3iYaxd60mJGasq3csw5xdDVgDvl7zUoeQU5MEuCSQfyO/cWih95gOilnT/vKKQW2qI7V0kQJf+Qk8kVnsRdjlQe43wroVKH1JyQwkpR5YE2fRj3u7MOIzlMf0IiOREY2s++Z2Xdd113hOM7lZvYTM5vb+8yZt9pB+F+O41xv/wtA+K7XaIHiWr2eDKQqm0ZkkUlbG6hwgoN9vZuwsVToTTsppINCuV857VTKdSWc28SZnJtqLLhuIwVw7CGG1PNKeN8tdwgArDNkZoFobieOUujVGddueK4QUnSgbM1+evPlLoX3VckUXO0CXv57l/IlfxYQ8RlCAC/d4RuZCRXae04mq6TyztDzXPEG12RusBdjOZ/mev7sDzRYHxTHJd2iVUTYPv7elu/RgJn5Na7JsWWkx3qRY5Ag8tmUUN5dwXW54SoaE8155OWiMyKPQcAEjBJG7Nip5KFDGzmXo364L+OiqfgWdPK3VgmYhCmi5111vjhaFIZteyPXuKZM5Kd0U4ZUP8O+NK+JSrSzAqRvoKiMnNhOGVoQRjqr4Qm2PM4Z+102Gq758yGMDY/wYuyMqPjrEFhK4SJiW3iW9JM12DeKG9KPzwVE8PeDRZQ9/0VatumTMGT7vdQZMzMpy6KHkwbWLmcYN5Ov+PB6D9d7QUZ2raeXlZlZP7uIUnHHcaLM7IvWAwb4wsVMcO+zVGhhgQJ4S0R0EkVUolQku4683NcgOPi4QGGNE15bjQdj46YzEa76uABUEwBl4RPJLIN3MnR8voSeQq4ovVz5LD2guaNFpZOIVoXspXAYk0ghX3VWtFho5V6MaqcAVkmnEckcqz5IgyBRoKneJZpLVp3g/CYH+kY5zjSRJk6LDuQXewUJb/T472go5wqYhPPnSLOni0gXqmR2cghppfoZ7llNF42B3DA+e0pEVtKEolp8NWkvf5XAsxEQ+6sFRtJCl5Gk0GDSRXAK+arS4Xs/cZtvBK+JVeMWnUaFNlx0uD4iqvjGJnON0+fy955ZzUjNon58NkwAbqrclrmi4uiqfjRg9pVTkY65ht/W8qrIQwyg3DsayHVP/QOPlY6V8b3jcygfl4jmrCPa+L0zx9EJeOMQjdG6U740MG44DY69exjtbt5C3ps5hHxbto80qyqBw+JpsO8RWEozhvO7+vrq/g/H0bmoZGSBjPw1x3FyzWyVmTnWU4013XXdgt6jq6NmdtJ6QAK/5bru5t7f+aX1HIPtN7PX3+7o6kJk5F9Ozplwz2BfAdF8jnNWeDsrxdHNrQtI9Kv94P6V4P7zCjLtYoE7kXkTBe1LT4njmE4KQoUcG5fAo6bIFAr9dXuYP6JKgbeEUEgtcoWCFM0WVSmsKo08sI0G1qTrGF3aII5LcuMErL0IAbe0C9TVVAr+iP4ibO33aad2U3kFi7wLdUSTNsCLsdjFNCTUte1PF1eVMuhq3lexlspw9XnSqEoJXiRK3SsbaBCOvcKLsYYj/MXKUhpEmeP57NP7qJQuiWQOlcqVCPPwveeO0AMfNFIAXc7yfe/B39OQGvMJ0tg9f+de3NJO43SmwBsqL6DxXNDGZ9OC+I4ocVzdKHggMpz3FTdwL0YOYdT1tXwekd40QTkKlF3doknx2lbuRbs4oPCI6HGjSDS/Jo4RtrpazqVF9LfL8INe2CMA+Y4JLKmsdoGWLKp+rxfJ7DUF5B/VZ686gPsYJHTwteXP9Onxzu0Z1/WZpfNMwZI+P7r6p6qu3kJGth4snPutBxjwZcdxbjaz+13XXeg4TqiZRbmuW9PbrfxVMxthZllm9ojrulf1GkNva+hceL0ocHQmxNML6j+RHFR/WOB2sKgHbYW7BIDV+SIq1roaMt550agycwDzJF6qYNhZyHKbL5Bo/1pLQyJHSJVrP8nvf+FPooFeEI2QmlYaRDmZXPfQGE766CEqelXRUOmlIHgljIJrMfWSTRhNg7XiDIV8WRPfMTDW93tTZtAY6qymElm6h4p6pOglVd5FI9FjpKkksSad4qitspF0phrWZol8pBPnPRgbGMw5F3VwnQaJKE9pC+9TjUOrBCZJWiA3UkV0HryEdOZ2imOLDaTRI6IYYNEo30R9bxH3R1V1KbTfZ0+RBiKE8h4rcuFU7tqQ60Rbke1cp9g5NJLqNpJ+QiL5e5tP0KiZlEJDorjUgzFViTV7OAsf9hyhPFP97bJmk6a6vJxzxI1TMPb77/DQ4IpQGrb9EnzfGxhCOfjbfEbXvjCCBquq4jt5nFGZXSEiKVrgmA3LJm2r1iBZh1d/aOi8j9c/XV7uOM53zKzJzL5tZh7Xdd3exp71rutCyvQiKX/ZelpCfNt6QASDzCzRzLa5rjv3nd7397Q7McH4LjJGYgC9wIzBZALVDHHCLb6MsUHkekSIRJYJ8+kpHV4vEEJFyfCoHAqap0RX3DsGkvkiR1CJFK+l4us/kIKwuZbPVlbxe6PDuZ7qiCdOKPAQEQ1RHZS7xDl8QjQVhCqHVgJo1Smu36x4rnP8DN+1ai+iV/3Sfiq0O+7gfVUrKbhX19AQVf2vwsVxTEqmwDcRlVP9ZnDPtjxJxa+ONPeX0hCdIpI6I3NIU7tfp+eu+lBFRFLIn6lkBG90Lvdn7UnuY24g1zl7Pum77iDXKvGeLJ+/N/0313isOFLpFlgU0eO5xt6d5JXSEuakKVDCzCmcyxtbL+771TXkKq77qWXk+Zy7ONZZSoes+RTnrNo4hAXwPiUHGjr43jGTSQNfPkxj4rOiKd92l3xw63jfiMvmnTT0GgNIJypX77LPCLl1lrzyxGryfK7I1xw9mnRWfppyddS5ZX1qDNyWcW2fGTrPFrz6wTN03g4Z2cx+amYPuK67wXGcBWb2E9d1J/TeX+u6bpfjOFlmttnMRrmuW3vBb2bae4joDBG5COqIR6HxKubrH+f7bEiEaIkgwi0/PUGvYIHoj5MaKTyvUJGLIiIcT4WS0f57Hg24gPCLK1E8s5z3qSqX4WGM8ihSUeX0o0U56+F6KshR4r7US0SOyqsc2yeaiQ7ppMIZfzf3rbPQV6D/ZevFgf6NbOOeqfP/qgLOLS6Z9Ln3LEPqU0fRay07xTX2T6A308cW2YlUXsEC7TU8nt+Wf1h0kP4uW0+0bzmAse+up6KKMu7j/Ulcv3CR29BxnrJxx0nyX7Ko5Cv1yw2aO43OQ2vFxeEhDZtKw/HIdhqOiTGi5D6ADLRJlC/fJBLSm9ndw4IjL67n9NbDorO2qP9X2Drj76ex+4vHuY8RLn/vxngq9dUinWBIB9+b3p/yJ8JDI668SAA4+kUnR3jIA6frPBg7FMbvWtxNXdNf6JqmetEQ9H7Sxd5f8vc6XNLe/IoXPjR03sfrX0ZGdhzHa2a/7u131Wq9OTVmNtvMvuc4Tqf1pAh88kIj55+9Fk4n02/fQmbJHEICGpbEMGGd6DbdL9OX0cqOUmEMuoIe2oNeCunztfz9QJGcqgD+Soxj3xCK4Kfr+f1fv1E0klzHsRCBR7JAhKLbvGR6JfjHx1Pwd3byHSNEWf++Bv5evwPc76R08kVdMfcoPYHecdMuClH/zsgfX0CBXLKJguukaAmw9xhD9hNHcs9KTnk4D2E5NlbS4y0Xx0UTRvEdrQdpxCpYfwXIt0wkdapy8IandmPsfAXp9uPBVFT9B5IeK89xH5sbOL9DoqolJ5zvyLqXiq/Lr2WK9zT3NiaddBIjopoVR0SrFXGlzqOx1t1ARX2dl/keT23hXowWxkBMqIhiT+aaNASSH7O7aBAOFEfsj/5DHLELlTiind/W2kx6vHoIv3fzcUawBoijRJWHGSCMx36u79pXeHns1ywiOvcMuMjebuKIb+go6poTvyfvjbsTQ9ZVQ77o6+viTOb/d6+Lqbo6ZGbjxPgW823m+db4y2b28rv8Zr6ZvWs0x8wsaAAFocL3UEBm6kpdKBo4bvZVLmkTGIHxruCxRXkJhaorPJtWcWyTM4KMUXyU+QpH8ukVzDcqAnW53ZxL0jB+W2AUmf5J0S35tqE0iFRbBOUtToii0ozpInuFZwuS7KYwu6WDiv54IaMIAzso+LuLfecXm8K93dpGYzLVFdHAQAr4kESu5/E8CttgIczDROlzt0C0D5tE5TAkh3u7/GlGZQ51cD3ndwqU7/NCqZMEJDjg0nYasQtP0IgLC+H3Jk3mXDZs5H31om3DgDwqK6/ru5fnashT01zyY0MLDaJtwTy6+vhl3KCqreT5xJn8vb3r+A3TRcT6lOhr1S06Bwzs5N6ODODvtYqS840CouKycBo/8ZmkM2XsKlC+n7aSppJDOecFuTTiTmwlTT0ewu8YHOprYN2axihpjsAbChTzCAoXuZ8lfKdyUHK+kYmxH/6IdPZp0WSWVPHh9V6uD3wLiD+nM0dnWogX9w1cIJC8xLXztXfPE6grpcFxtp5GzVnBZHffwKjCjmf5eydC6O1sDaAA+dsvJ2Psmc8ew9jkYL43JpYG4XnRXyrzWtHNuo7Kv2IHv/c3LWTJj4iz6X5RlMrnmyj4+8Vwzmm30ZsvfJICOHEYPaPqU1z75Gm+8wseRg/6zKOMVA2cyTVRDVsVeFpVHRXVmI+II5p8fldQCp/d9TwVRngAjYHMQTQwny+mcXpNP+abxaRS2TRWUKCr8uVJA5h3cVIYokVB5INYYQDPu4r7sXEZ6WLSUIFdMt9Xgbdsp+J76RhpoE0YcHfP4rMn1nswlpRI40Idie8/Q4N6I20pu10kN0dFcn9UUvWOWu5Ps7jvpjn8tvo83vh8Def8cdEXLdAjaOU1youxc7m3lYcE4OJMkZD+Jt+xu82DMf8r1yUvrw+mrLg7jYbzMtEyRuXgBapeX4IuDos2OleVP9unxzs3ZVzTZ4bAiwVLP3hHV++AjDzGepCRo8ws38zucF234YLnBprZMTN72HXdn/WO3WZm37AeDJ5SM7vTdV1S+QXXfAHQFRpJRVp/QCQODuXe7RJVPdMm+jLffpXUmcwy2I4KCpCyVZxbu1FY3CTQkpNECLfie+sxdts3h2Fs6SP81mHVIuFOJMC2naCR5C2gQfS4QE5NF+fLpwSwYFGbwEsRFUs7Gsj0Y//G+QkYGXMENW87T2WY8obvGsxKv7hk2lPr6aHWdnCdpl3nxdje1yi4Q5/le9OzMGSBIjdhZK5obBtIGvjDadLUDYGix9hI0u2xDdyLStFPbEw8eUMd4apmi23i6K+fqOKq2cVvCxROmirrrnrcd62OtXJNooXonRNJI1EZNfFx3Mf4xaSV08+JHl4Cv+T+CBq7D4vqwdsESGqg+L3ZA2n8NXq5j69uYBS3Q6yLikSqpqvB4kDEI/pz1YnWJSqq13Ka61fcRJk0O8FXZ8TlCINQIG1nVZKO60oot6oFnw3KJK0cO8XIYYIozQ9TiK0fXu/rdTHJyI6ZRV6IjGxmnzOz35rZl13X3eg4zkfNbJDrut++4LmXrefob6fruj/rzeUpNbPhrutWO47zEzNrdl334Xd6f+WCOZhgUzW13Pl6CtbzosHd6JsZWfD3jlOiqEQKGym4lFCZehMt9pLVGJJn+IeX8h3hwYLhO2hIDBFHYYePiA7pgfy9kXeLpqOFFLbb1opqnYkUouL4344coSBMixX9w8QxUms9v3ddBb8tu4sC7VQQaWBaqO+3vdTpwT13xnA9X6nn938kmwZryWn+XtpgL8a8ZRSiqtRdQe5Hx3GRvRWi2a3IYVDP1lZQaYaEiOo5Ea2KTeCeRabzOxS+kqq4aankOzYWUQlPjKFiih/CuQSE+dJ3/SnSU1QKjcmIubQ6//E78s/1gxjNCOWnWtURyqioWIEZlEDFd3YvI9F1HaTt6kDSiqpuvFS0t8g/ynfUi3f0C+acs6d5MXZsMw3l9FTe52HrPntjlehW34/7nTSVdHZ8la+x+5oo/b5aIEMrJ3CZUSZ/7lL65qrqdeD11FN7nhD96GZS1sS+vKFPox43Zgiwrn/T9VLBax+8iM47ICPnWE+kx8xsjfWAB37bzMxxnGvN7KyZj8vu9P4X6ThOjfWgKp9+t/cvPcGQ8o1TKFgiaimo+gkFWbScjOsvCAKDKWiaRUx4YjqFdNVGCuk/tFOAfHKtyJUROBsN7WSWiXeRIU8+58HYkAFkyJ2iWWXr37h2XcZo1dhsfu/ePfTIg4QnNyiZhtNygQd0iwBQU7lGQ4U1pYRoYiPXLyLGV1BfV8Mz8gNVFNLjRMfjolPc22G3cb47n+C6x4XyGz69ltHEb4TwvsoS0e5iIr8jIIYsfmataGgoIliqrD05m+84m8eoWWIr6TvUIV0c2006O+9yzpdNpWJuq+H8zu0XPbsG+M55j2hZsTCXxza7fsFv+Mh1NM43LSEPDKulh/9qM2nqphDyVEQG+dsjjnQra4Th1M01HpFAA6FLnMtVdJD2koL53uJOGtT1Inl/zHiRXKauTu73lP5U/iVVjNY9v47v9e+R+XEPj2WDQmnEB4t8nBuKeF9ADL9/wCKuU3cDZdmEG0izAWlsn/Hh9f5eF9W9XCAj73Qc54iZXW1mS83sJjMb0HtvpJl9zcwWWQ9+jpmZua7b4TjOA2Z22HoMoFNm9um3ed//ICM/ED3JFkf4lrTW5JG4EyZROHQcJ+G+0UFB+JFcX8MpL4/Cd0oWmVZBfG/bTSH6yGVk2kMrPBgb/yAZqOMYjbqjT/PZQpd5HP27GVJXYIuq3DivkGugzv9bxGBGqGhOGkdFmlHB976aR8N2gkPlMmIBFcnpjRSEyusdEuFrsKwWXbUvj+bvqwTbAHFMF/Ac56uOKIIFrsonRaVKgsg9Ol9OA27/FtJekMgTKBNtEuLqBKaPwMfpbOF+V4jWDrljeTxWsgZDlp1FJaywag68RHo8HsT3LuxPw2HfOV+Deu4Y8tSLm0l3kwTEwmuv0VgZHEh6b27iGmcI5N2oRPLF41s5lyuiyLdTpzKaemYPaXS7SL7OruGc535MRBOXUIFni6bH7bWipc3sTIydfYx8VdTMaOL0+dzHV7Zyvy/tFLhbSb78pxzXdcWMEK4RTla2kRYzBGhxYifnNiCchnJFi2h2ewP3tq+v//TDs/eCjNxpZr8xs/5m9pqZfdZ13f6O4/zMzHa5rvuC4zgPm1lj79FVsJmttB4D5qz1HH2Vu677/Xd6Z/GU+ZigwtlYvZ/n7tf+fhTGKh9Zy+/yC++HisqX9kbahAp7JDie9/1ZNOZUmCyTheAKjKPi66xmZCE4WVSIvEahN2KgQJW+jSH6wz+jAioXCm2WwCTZsJ3JeuNEqX9bC79NkWNDkxAimYwQqaObrm4qZv8k7YY6CrOBcwUcs6j+OrhKNAIM5F7MTeHeniqi0pzyEUZvWo96MVZ2nEZdxkIeKZRtZoRRHV011nHOqmeX8qpPCoNjXiy96Pp6rvMmcTQwoJ3vnSYADc+dETg3kxnFrD7p+97157nutwjsmtObaQD370/FWiEAN1UiasYwKvmKs1zPVtHRPT6eSvOQyBGcJtB9Gyu5t+pIUzVGLhHRm7Mh5KmPzuP+7FzJ+VWKo7WrFtOJPPsm53Kmg87cwvl8r3+LoNUFlEfToinfztVxvxMFunP6UC/GTh8jTQ3K5n6H9idtK8T1e0ue6tPjnev78OjqlQ/i0dWFVy9o4AYzu7Q3wfgSMzPHcYaa2RW9t00xsxt7c3A8ZtbtOE6rme3s/Y0zvc+8YGZff7d3qqTGjUUUcItE/5HPf4He0iCXRwiX+IFCDZlIhVG5SgHy0QMIiiO95LbRMFPn5nt3cG7rwqmoBgucmkWi63eOSKD+QxWPi76y8STfAUABs6Gi4++nd3Ev7hLJdaoEObo/FW6bMCgTwijkj4pO4jniqK6zTVRAVfoKzPQsL+45s5ZC75Rowrl4Ho889goAwtipIp9ClKm2neBcTh6gEC0XScGVr1EpjZ9Nz7hgF5Xr4Ju5TiXLxPFgEiM1E386H2Pe772IsfxKD8ZmBHNv4wW44nOi0mWiK5LBRNRxRZPv+uV0qMaxjMCoaGC2UHId7ZQDqVfw2bVP8Rs6BGOo7u35ldzbNIffHzaY8vKVkzQ4rkon3WaK4+WQE5zLuHhRfXhAYGdl0didsZC0XPIS+SB5IKNp+/JpUB56k8em1X5R1qEOjZX1TXxuoTguaxUNilvrOV8FJOmKQuBGwfM3XPl/H9H5oFdfv9frYqqu/JGRF5rZjx3HSXRdt9JxnAAz+5b1VGCZ67qzLnj2YeuJ6PzOcZxUMxvuOE6C67pV1nO0lfdu71fefLYwMBR2ycJjFF6LryTz/X2Vr9KM2UQBknkFGf7MMnodXR1kKnVsESrGVPjwNuMxSLdoNKdyb1oCeN/lIrflb6LdQZig+5uyGfK/r5VrPFREjQ4V0jAZmSbuE7kxGSFUfGkiYXxJJSNnN4sWGlF+PWiCo/mxKuH7itu5F399icorV0TrTrzKdZqbw7nt3sVvGBRL4yJnCAVrgKgk6W7lt6lWBCXLGCVUvciEHWH9/vg8xro6aDjlDuF+d7TyF7uFIZ8qsH8K/buzmpkrUIoXx/h61vXimEFF/jLiuO7ndtAAVrQSvpFGwzRx5LM9j/SjihxqBc/PGMiIQel6Rs0ahZPhf5xnZjZ+EI1iddSSNZdr5d1M3ogaKvKAXvVirKqOhnfSRNLjmHzR8kMY/N1+cm/k1Xzu3DKxTgLuolvkBx4pouHYWiyahIbyvSmDaMAdXMp0ill/wtCH13u43gsy8uccx3krx+YVM/v7O/2I67qljuN818w2OY7TYWYFZnbPu708IpQEr0p/960j8c0X2A6vLadSD/CTyecbKQg3L6E3McoR1VnlHoxNEG0C/NF5zczKd/O9SWNo1Cl8itSzogQ7nsy3dQMNoktFF/Y8gY9TKBJv20RkSkWNrhK9yM6UMBqUFiTwKESSdk0TBdU9i7nOThjX6uxpX+HdcYx7ERfNde+q4TdcEcWxmk4aCKoj9Z48GjW5iYzCqcRJ/0oiM7Nl23h8O1TghQy/iobjMWG0Dx32jsgP/3M9vpc8lSOMvfP+jGZmC8eTR1WC+5X3Uw5se0xEQ0K5znsbfelMdYsub6ZCzxBHaMoIUX321HVGNIMcI450VfQztpr747mDHYqDXjmMsebT5Nv+DtdJ5RxOyuL89jzJaMhYZhjYytXcx0VCJrc2k+c7a0k/g+fQSOioFEnFcb5yr/U091FV7BULg2upwDS6X7T0SRxEQ+/YEVFe3kaZfEwc/c7CyL/36hZ0/Z90feABA8tnz8UEl56lQJ8WREU/6Fr+3tZnKTDS/Qg3WbSTqDwtkEkFCnJHJ4W5Sjr9Wzd/77pWMneih0ppp8CGEY3PbaBAux0zlufhCn/m9H6+Y1AuhcOfBE7LTaH0ZvMF4GJyGJVwmOgB9kIbBfW8NiqXtAQKQtUCIXW677MrV4uWIiLc/bQAeZwm8ilUxYgCi6urJC3Gp1GI7jnN+c1exMjkrtUCGTqWa6L6rKlGpEM6qAz3h9JwnNTOvRg9j0bSUdHwVlVYTb+SdLbjdT475VKuc/1RDNkxPw+8VSTQZ4lO7apsvvk8v79bYKN0CjnwG5cK7Tc/Y231ma/u4DtEZCE+lbSirqgRpNszq6jBq9o4pqLRQ1IYSYpOI60EJfK9CnQ0uj/p53wNoysFtXS+cjNFcYVf9ZRCPF5/iHJr3mgaYfsO0FhLiRB9zEROlgJiffQlykHVgT331Bt9msdyzcAr+8wQWFr4+gc7R+f/4irLJ3HPET14VL5Hy2Gq/0Cj5zboPl+Pr7uEz1Uf5HO5o6hsugXC1q7jZJbv3SmQOZ/iO4YKXJn0OkaXKgIpVNRRmEK2VT1pkpOpIFVS4xdu57o/8ZQA8Yr0Ymx9hwdj932Kyv/Ov57DWOww0XphfAbGtv2K80us9RVUncKFTkyg4rumnN9VEsRnn21gdPG+WB5T7RG9szJOUdlMG898ivMnqUjVUUt3l+jmfaUHY7OeE/kZMTSIKrw0piZ8kmJk3aM0zkYl0/g5W0YjNviW6zA2cPPrGNuzknPJzSZPtvkZNhMEanPsfO5FwMBcjEWsZMTk4K6Lw4h6OJYG3A++TJTzmS10gvydMTOzR0tZOfQJkfS+6nXSY2YA5crE6Xz2F/t5tDaonTSlikFOi7TGK7r5HamXiajrMxzzBJHnYy/j2p/6uy9/Z18hHL5C7kVLLen4VVFy/nAWZWPxSQ/GisRx8M2JAndMwDj09fVh1dVbN/YcXe0xsxLXda90HCfOzJ43s0zrQUa+2XXdugvu90FGdhwnwsxeNLNs6wlALHNd912Tkc+MXIwJKmTk9uaLa14YNYxEVbXTV2nEDqJyrDpFBayWTlW0KBwY9Wx9DQ2duhZ6geNuZrQhIIlK+Kk/ClyIEUzaVqXKRRUejKmmmepS/b76pXFdCo/xHa0CU0Oh8WaK82/Vwb5AdLD3r4hp7KZEDhExsgk38J0rl4jKtggvxp7r8mDsUyJ/qPQcFe7Akfy9pYd5XHSDqBwKTCDdthylEt54jIpqcgoNgrYW7o8nlfSojOLlXobyrxVJ9GEe8m35aXrCqcOpcNR17qAvDewSfaNyRNuSwWlUhp4RZNwnN9CRGd95cS0BarrIe7NuEajXkVzPlf+gbJiQSEOvXyYNhIAIykEVcRucy4hJUzXnklfJZ3eGiwRlccqnuqanxJFGi2tIA6Mm83tDBvjK0XNvkGZrhVztEhlorWJMNQQdFEjZ09DBvY0OIp2pk4Eppa/0adTjqj6M6Cz7gEd0Pmc9ycNvUdvXzexN13V/5DjO13v//toF9//SzFb4/cbPXNdd7zhOiJm96TjOZa7r+t/jc7WIaMNrwmO+UXT5VuHEP6yjp/ngDb4C04micgwrEXgfAyhAXNFvc98+CsJGET5XDDQ7nd/VTefbmg8XYOzmKaSnljK+Q+FMDEjyYkyVg6seYInBNGoUrsjgS+hVdgrgx7QCvre8nO9VhmKFQ6GcFeSrSIbP5oLWHWHE5NArIm9JJADnCsH12RwBcnk5Iwb7fujF2O7DjOBtEdgtbVvofd95ORVVdT4V/WyRGF0hqlyi+3FvFQL32WDu2TzRo25fET3yvErS6IN3k7FadgtDR7imp7p9jb0rknl8u6uM81A0Fn89aeyuCK7x2ZWkO69Aag8WR0PFK/gRA2/jes4Se6a6CahKn6AQ3pgcT+OipY58q8A0Fz/A75hVRCOky0tFf3AL5Xl7G+c8cjx/TzW3daJ89+jGpv245zcBgzGmLiWTL/8MZUPeH/nsmnB+wx0iklYt8g0/vN7f62IBA9Otp3z8B2b2xd7ha8xsbu//P25mG6zX0FHIyK7rNpvZ+t7/b3ccZ5+ZkUr9LpXzMlHAd5eWUAmpRpKqSdvGp30F9cRcGhcVlfTcj5VRCEyfSy+4QyTsJhkVepYATwuOpkB6dgO9+cuFoVd0iopK4WLUBoqKtVT+XozoCZWWQQFXtZnRkIhY1XRVHLeJimF1tKb6CwWHURnmCdyXEtd3Xbo3cn8UEu0RkTQYJRTLwEUU5lteFT2dDvIoZ9ZNFIRnlpFNrxT5GS31XJPKzZxfVCwXuewc1ynrUnraHaXcx+mfJT1GffssxtS6ZF81EWPB9+3C2JG/8L1/DqGCjBYi7ZN+VVeeUaTZeUk0RB8/yu8aspcRUUdUN1a20lmqEhgy1UICN533YCxxP+VWk8hjSVjAMdtHA+bpfIreIwGk+TtFBG9IBH/vyGOiOWs/yu6IGMqGMbNpKLoCXLGjnuvcVcRnX33DN3L4UAh7A+4NEoZZG2ksWniuFc/RwA4Tzfe+/VnK3469otntGvJeX1/uh8nIZo7jvGRm/21m0dbT3+pKx3G8rut6LrinznXd2F5k5LX2v8jIjW819bzgXo+Z7TOzha7rQiJeiIx8d7/JE+ZGDvH598xOCuCBiTxWOS6Mk3mPjcdY82PLff6uOE6P93CzB2NFwWS8T94hoMAryRh5K8gEL4dQSN0rupKr47HmBjJawkjROuCwSDgUka9DXoaiB4gE3VdFH5l7w5lDVS1KlUffQSFSv1V4laKVx06vACMTSuPyCBqPYX7IyMqQqqmnQTjmAX7r2j9w7UaKJpfK0079xCCMrf8h93tbOOns/jh6t/E3MGejYQUVc2AoJ6OaF54RAGqHRFPceR00zopc0tl4gcrdL5O8XHSI7w0Pp5G0XSTlD+0mjXb5RdiaRAJ0TAB/v38/kYzcTD5rF85YSir3UR2vJ0wgDxxd68GYOr6tEw7KFcO43wr3JaI/3xsUx9/raiCtLD9AA3BGLPe2zksayLme7339Je73sCAa8gNEef7JQ4wupSb5ytuEq0knlUvJozEDaei0VnNvowaTH2sO8L5/nKeMujOc7027yYOxyO8916fHO1cOvKLPLJ3XC5f3+dHVxTT1vNLMLndd91OO48y1dzd0JDLyBfcFmdkyM1vluu6v3m2CbybdggkmCWj6RoHnMvwKMktnJQXr1p2+CmLKCCZ/uqKy4lAew92uiN7EiaOc9i4yRnYOmSByGpl0/d/5rfNu55o0HxRdyUspfFSYeMAsKowX3mRU4tbrvRh78wV6KCoBdGUZf2+BQNRVnbW9eZxz/+kc2/4yhegQPyBFFcY/Vch13ycqjj71LQqzvz1CoX/3NTT+VKQmJoa0oqJhRWcYMegQWDBVQkEqkLpKkVS9IJL0GB7FuUSmiG7jpy8uHJ92I2mlaRtpJUB0qw/N4DsqNolIgB+mT1MLfywxmQa2wqaalET6bGmioZwyXjg8olx9k0ARH5t8cQByXQJvKGEK39GaLxL3BfRE2T6up3+FoplZ06mLS109coby8XAoaf52hXU1lnM5v49rGhrLuezY4yvPPQ7lx6grKBt/IZoWX9klkLBFT7C5nxC5W38XR1dCDrSd4jviV4kw87/xunzg5X1m6LxR2LcVZWYXZ+j8t5l9xHpaPoRZT47OK2Y2yczmuq5b5jhOipltcF03x3Gczdbb98p6kZHN7L9c1/1d7+/9zXqMn89ezAR/NvBOTPCSABJpgIA0j4wmkyZeQwXmRPoS7pu/pLKZLJr+qS7Vle1kAgX4puDGhyQwV+T8eSoqlXS7QRgNjSKZ/+pUfkd1OSNYKqF4nYDrnyDKvEeMpjJ4TfSwWpzGuRQXeTAWJzxr1Z5gXzWNjpHRXNP0q30VkwI781YxwpE6iveFjqRw3PwXGrGTJvMosPI4o1wVDRzLFsBwkakiGUxcHSKNpTKfxsXGTtLjjaIr986TjBoNFICOKkp4up30M1wkbteJnIWQQB55DJnJZ1vL+N6mWl8eikogfz8mICtuEPhS5xoFqnQs71Pf3ypy3Fa6XPcJrVTMtQEiCbybNLBLRNxmtIpIhZFGVVl/ySbOuf9A7vepo+S9nDE02J4WckAd/964gPzSVszvDU0X+UdDfGVhmzhubC7l9yu4h8RMMlDkBA/GqtZQRp0qp66JEpHDKIH9NDp/2YeGzvt4/bO9ruba/0Z0fmpmNRckI8e5rvtVv/sftgsiOo7jfN/Mcs3sJtdVwXxehRMXYIJRaSR4VUVQd0yEihdQiB70K2VUSXml1QIwcA4FQ0AU37l+uVDA4nhDVbSUN5L5Ro4UjQuP0NCRKLaBZKp6UfkxRoAcnhbNTlNFSwBVLnmolkwfKmhPFKhJxNaXSqhwha0r4mtmNw32FXxK8YeGiU7lAsdDEXFyBIWet4UGa6qgszX1XOMq8WFf+hT3THXbHj2VRqdOWKVCqxPJ3Tu7RC5PB9dq4kzuWfkh/l76ImEQnOL6bThCQ2R8f+Y4pXyEdOEk+0YWzj+xHfe8cZwKeHQA9yd1EOn92Akau2EBNMzCgii3DnZTrqhrVj8aDUcET6WLxpSDZ3HOZXsoB0+K3KDZM4SDt5+OUYOg75REGgmqiWlDGY+Ea+tIKzmXkr6rdlLW+NN3pGgoXFXMb4jx0ADuFKX0f25mSsTHBeSJulRLicBAMmRf4+hcNuCyPjN0VhSt+EBXXflfPzKzFxzHuc/MCq2ng/nbXr0Jzd80s+Nmts/pCZ//znXdv7zTc5tKqcDjiwSwnmi+ljWTjLb+GRoOKX5ovCqKMmoeDZMD63g+nBRDb2e8OLZZVs7vGtZOhowJ5lhzDZXcCnFS8MhiRjNOLueNgV2k8R0Cmn5otBdjlaKhoUoCzxXPrm2lwFDlxusLqLxiBatMEY36mkS1195jvmtfH0jvLryFazJJdLDvFEinlRVck6RYCunwGO5tYjWF3hCXSrPbyzXeG8q9TTpGeo+I5nsVFMPgxaKT+gYqvg1ifxxxFFbWQOVia7guEdF8b7AwivfVkP/6/4L8VxPga9hOiBeVeF2MTA77LOnz8K9JK38OE4nSN4m2Ige9GBsookaH9vHIRwEQJgeQBgaNI89XH6Qhca6BBmujyPlRFVH9RAQiqT/3UUFUxDZwzlkfIY2uEcc+XUI/Jor3tnf4Pvu06JPWTxj7UZVck2t/NBBjM7+aj7GTLTxKVmkMk0eTf44f5hp/eL2/1wceGblywRxMUGF+5IbTa4lNEu0TRCm1f6+j0mMkeFVWe76eAmTQjYJBy2lwndtE5g4UnrsKndYW89mBtwnBtYmKOTyHQv7wUirmMXfSS9/5JL9XXSNyaNgpg2BXAXMgxov8BIVG29bBdc6+TBxJrKAQmeh33FYiuo1PiKKHFjdAVHrFUZg1FfJbzxbQ+07yiITL+0nbHYcJmLj/DQrWAQIZOulS0eTxWe734iE8poq+ZRTGml89hLHgZO5F0WYaXWEiShYQSJpPupV0UfEcaTmyPxXuuZM0TlL9EoMrysgrLV38BoUbtaSe0ZsZnZQzI28VSNibST9xl5IuDv5FtDUQbVCyJ5JGl4h2HDcu4toFDaZxWvIUo3+1Iik/e4Rw+g5xz6pFlVlat6q+5DV8HOeiDEDlCA7M8TX2aosoL18XTtY0Uc0bG0kHeuD1lEfPCsT960bxyCxsLI3zZY+TR28rfbpPox6L+zCis+r/IKLzgTd0VAsIAUFjr4tWBC1iOeeIVhFnW3wF/2jRf+a0QMXdG0bP87b+FCpHSqhs5z7AuXUJrJ7yLUJp1nowFu2IMkgTjSSnMPFP4WwEBpMuYiZR6B17ie8YMonfkb/Pg7Gc+/h7b/yJ36uOKLbXck0n9+N9KmGz6ryvUEoWKLZbGyiQ8oKpgDpEWebXBgrFEsn78g/TWFEe+YFdVCI5Avpe5RioIzgF8BfIrbCVQmmOj6RyLRDRAY84Ij0jUMlVz6GyOkZ+BmfyvtP5NBLU9ZIfcN38VkZHJqRSscaOowD58Zuku+uEobPf+A2Z4ohPof2mD/JiLJxBCWurIE3liePlSHFkFi56CB4X/e0miuTrN6tFuxBRCZsootvJkwRw6FbS7epuzuXaKNL88kZ+7w0pvlGTHYWMni++gXx2ainluTqqjBxNOg4cnYOx1uX7MFZ8UGAzCaiI1G3rPzR03sfroo+uBDLyTWb2sPXk3Ex2XXdP732Tzeyxtx6zHmTkJb3/FmJmv7Me/J1uM/um67ovv9N7a0vIBKrU+5a7KGyeeIYEGRNLIT/ar9JFNdUbKlBS3RIqQxV9mHs/FWT9atGnp4pesFIiWXFejFUp5SD697wslFdaBwXhiDTR0LGT36GOqZRRo67ucgobx0Quj0DCrhBJtq81cT/uzqFXVXvYly6Ka7nGN3+eyrD2FR6rvSmOVg+coGGSK9Yzv4u0PeIzCzHWfPdWjEUOpIfvmS0M1rFjMVbw3b0YO9HgwdgVC1TrCTLHU+LI9fo2eqmXz2DUyAmjIRp9jjQVM5VRqKgS0kVYCGn5Pr9jn05xRNPSSL6NLKWinixwngYvIDEO8pK2T+wjfarqy/ZmjlXvomzoUv2vRASitlmcawuE4tnDuT/tjZzLQGGwjZopDO+TXNNj62jcx4t+fg6HbKMAiq0SRQmhflg9jQLnaOuL5PlhKZTxdWXUISvP0OmdsPw0xqL7iWPzDhpwU6soVxlv+/de/+k4Ou8FGfmImV1vZv4N5Y+Y2UTXdTt7q7EOOo6zzHXdTuvJ0al0XXeo4zgBZkaK8bu6RMmsOq/f+A8eP9w8lkpO9TMpKPVlvh2h/K37RvO3hgfT21EVTI8+LlCB26kgpw6jYvEvjTXTHnmbSHKrFB2ZhzmU1DUO5xccRubb8IqorIilQF8ewDW4MUSgD++hwBwRJSrPaqk0B4tSXQV8GDGHhl1onq8HNUJ0Rd73a5Lm2BtJF61LMWRzBFZT+X+t4Y3iWncXjZq5N4kqwzgaUx1nSI/lywm+V3ue+zNlqKiA2877TjZTQfzpfu7FZ56gJh0nmh9ViByvIROocJz+HoxFhPI+dTQdFeM7lzNl3Ntn27m3dx7hfCNEvpTbyneGDKIRe+gQDY6F0QJbaAjf8fwOKsgHLqPxvHIpHYXsYEYMGkV7goMC4XraR2k41v6DMtQr9ja/0sPf+0kWxjq2Ebl47KuUDf2CSVOdnSIx2i+5eZhLJzhWOLxBoaI1soAOWCDAVJ+o5Np9vD/lSm4l56KObz+83t/rYgED060H/fgHZvZF13WvvODfNlhPJdYe8dwgM9thZmm9hk+RmQ1zXVfY6/o6PpRlb0fO0ysI76aw6R9IxggSZ921Hb6MMVmgG2/cSMMkSSQDqt/PyKXyrjorQtufph2/9yei2aJ4x+MhAhHWyMxRouT+x+cpRKd1UPDfJI7b3Foys3er6NUjjhvDkylYCvdxLr92KGwUYuvkW0hWVesZbSj3q6A7HEgFdE0WvVtvOQ1H1ZV9nKhYKxS5I3lGZTg/nQZHcATX6TfneJbxaSGAVQVciEg8riqgwRGXzPWsLiXdql49p0QpeYiQNSrBXUVU1XW+iTS6M4Brepufk1JzViTkC2XTfwRpp+446S5uPJ89tYbrFB1F3jtQL3JF0nj02VDLOfsbcGZmfxFAmrcH0lBW6NhnizgX1Utq2T46D+Kk22YkUo4eLWNUKyWEyj8ykmuvQDzT07wYO+LXrX7ul/mc204e+MRjlFt/+jifLfg7ZXLiYD67/aAA8Ayg4zo6lPsz6lzflpcvHMCekv+ua23Rqg/s0dWvzOyrZgJIRVyO40wxs7+ZWYaZfaTXyPH0/vMjvWXqZ8zsM67rghsuREa+wzPZZvkhIw8S+BEJoVTqwUHiqKU/70sy3yOeAxvIjAIvUOK7KEThzqNUNoPH0Bv99G+Y//DDwRz7WxEZ6FMCW0iVfIaEcE0+3knvqVJUeVg3xwKGEt03pp4dmQ8s92BspGhAWNNKgf7jkRT8qr9S2yke1b3hpVCe7SdYkkUPopBY8n1QNdduhmjAWL2R3nI/0VIipk4or0whb4K47ncWezGmSmFrq6j444SfoTrJ38PuDOZdTiP7F138ji8L/KLkcVyDH++kAzFTVLyNGkBacUTyfrpA4/VHOs+4lcqrs5B8dnQtFX+0qLDq2imaZgocnYbzjExeupC0/aPNzIFRa9LdTHH8CVHhWV/DNSkSzW7HzmeE6Mktot2MQEFuEkd/8ZfRCZh+WvQkDCHdqrYa59eTT7cLUMfMQF86W/YL8s/C8XRk/ngVeaW7UpTDC7l6/jDHpo2h06KuctGq58Pr/b3e1dDpRUaudF13b6+B8q6X67o7zWyE4zi5Zva44zgret+VbmZbXdf9ouM4XzSzn1kPGKH/849Zb55P08O3uebXSbrgSSq0tJn0UH65gUzwlUsp5LpKfYXymTKBCSHyWBJH06NaFELBtUwgCscXUNl8NZiK4OApCr1xorN2/yH8vQQBo77mJJO2xwiPYsoYCqTWnRiyjvNMbm4WjQAHJnsxFpxCATzlHoFf84o4BghllCfpBAXGvfeKZpA7faNQ5w7yuXW7uE7K5Rm5ggq9oYm/lylQr2cKRNjjmwXImFCuaeO4t2H3Xo2x4o/zKCxrgqiGWUoD5vCL5APVFuHmRv7eeRERjG8gjV4lACdbhFjqx/6n1rCVCiwtkDxU3eTL8wNqKD/eXEM+GygwadRxcHooaayfqNLcIKItBWv5e/O6yd8TBODksd38PdXzb9gC8nfBatJoYH/yY2YH51Ik+sd1CNSu1AOUhYFRNGBai0h7CpuoOIhyZbFolvvdfN9n72gljVWdokyp2su9CBeJ3Apxf+0yOseDBKanaqibPIT02NfXB70o6b1eFxPRmWFmVzuOc7n1IiM7jvOU67p3vtuDruvmOY7TZGYjzWyvmTWb2ZLef37RzO57t99o2kyr+NEuGjAPnaFQUvDdjZu9GNt0wvcYIF4gqg1LpMfnPcHlK62gENgrBOFM0XZA5SPN/CgV/0tPUCCppDl1Lci6OLj1l5bQk5uXQG+xupoCQyVYDh1Nb/GUiPI0ipykZpdr+skfUBDu/pY4GvgL96giyPfbRrtc40MhNKSu68eoQlMjFXrmUNLKy6e5ngujuCYqSqiuNtEl4OB9BMKrDmAUIfsk3zs2gWNr6rjGty+kIbF+qTBMBA2k1ApwSXHsNXI4FeTe1TRE0kS1XIEwMhv8crdSRZuILnFe1r+/gP8vJ694Urhn6qh2ehvpIlY8+91CrvuBQ6SfG0TvsDcE4OQw47pXiShhxToaNZOH0cAKH0KDI2gCLdGy33kxVlJNXh57DY+/E4pIZ0MEyGpFPvf7Zw/4yqSq55lf2SCiqRUOebmri2MxW2jEzplEudpQyHU61URD9IyoxLoKIx9e7+X6l5GRLxjbYBfk6PTm5RT1HldlmNl2Mxvtum614zjPmdljruuucxznHjO7wnXddwQaPJR5FSaoMG0eqScBfS1M5BiI5pKtri/Tp8eS8WLTKJDCR5DJKtZSaTaKXIIQcaymoO8HD6MCqhG4EP0SKRhKC4V3d43ou1XAb6sv5JzPVDLcPVCslbpWNzFSMc2lZzRkHpXXmQ30grLn89kn1zFy9tEviWjQT3wVhEdUjsUPIu14i2g0qCaP3lbeN/5ORmUefYH0c/8icfRwSGA/hZN+qgXaa0XTxUXDrhFGnEqEV/yTnurF2F9raZgsFK0IcoZRWQeGUibVFpI3nmohTT0gcpzKC30VSfZi8krJBhpr4aLazzOC675vLb35yEA6N53CkdkaSlr5yAAqzQDRbTtAJMYo8LlCYewGCbk/O5trF5kjcMG8XJd22iDW3iSAOOO4Lk+KthCj2/iO1BjKhoYmfltigu99qhVDSgT5e/A3h2Ds1PdPYSxMNJiN9JC2VTPiOpFnpHL17ip5qk/zWOYpiPJ/07W+eM0HG0fHrwXEdWb2WzNLMDOvmR1wXXex4zgfMbOvm1mH9ZSQf8913Vd7n88wsyetpwdWlZnd67pu4Tu9s+ETTJIqXU8GUoqpKM+DscxJ9G78S1wr9opGiO1850MiNPmrGDJBXC4jDcV7qORSh9NoKDpCY2W9iHCo654pDOs+vYNHMotE88ZNjRQOHoGgPEF4lXmVfHZYAr3ZpEu4zqUrRANL0Xqh0eF+xBmfDVQ9lwJ8laaAEbJPTuTandwusJQEAM1iAdfvnwBtZpYg0JJVHkeDqJCZ9qNMjK1+iHPuJ6JVqhdZaBbfG5jIdS96nnNOEMemnzpCo/iPY3nMV3qY66LwXAY4NE5G3k/6eV3gMM0Z4ms4qGhL9E0jMXb25/kYqxbOSG4u91s5I/0HiiOPE1Tyi3IZgVDNeMOEIaZysrwiB61adElVxs/wWPKtgmPITPRiLGEB37v/OWGYCLwdleQ/eSqjSzt20LkZNdB3P7aIPJ7dIldxQjsFgYJEeFQca49u5e+NyaTT0m8K5cWJV/jeicWvfmjovI/XBx4w0HvLPEyweDeZWaEghyeS+H4sMuGH+iXezu9PAm0SbSHahcc7cLgXYxsOkTHUNX8qmaqpmExwvJAepLr6hzBSoXIHlBHXKYD2lAIaJ8D8qmpFczwB1b5XNOFU3aG3VDI6sEjg43QI/JFfVfDZkX77dv2VAtNoH61YbzWF1KE2rsnsNJFwKRJn/fE+zMzKTlHAH27nO4YKoJH4eK5xaQWfbXa5TuMni4TvXTxCmfhRRpf2/I20olCadwiQR7VWHQLQT9HKQGH8hIdQ+fsDslWW0LiKFtWIKhelMIhyQMFdHArh2APxlCsJD07C2NFvHsfYBgHZoAD0SoUREhHENRl2M/fx7CuibUW7aAMiePnR83Ru/utGyuSmvV6MRV81FGM1z57FmKoWDMvk/Pwr3to6KUOHTeDatdaS7s6eo3NTK4BYxwrASc8IrqeKTp/o4lhfIyPPTV/YZ4bAhuK1Hxo6/tcfBrB7ebjoU5IrsBJGf8GDsT/9ll7/1TG+RL9EAFN9fAEVQXcjGS9/JxWLqv5SeCQT0ykI25vJpKpBZl4oaefBhWS+5lMChl+EwBsrKdAV3sOBcq7VwtspCJUQTR9DZfiMKF2d0k2l3j+OYzHpVFbKew+K913TgH70ls8s5YPn2yjgRkyhwCw5xL3tn8I1eb6YJeKXhtKDrj5PA6vD5fzGTCT9rNtHI3udQMX9VgoN1thbGMrf9N+MiI4fSWPFFWWKXpHfokqGh89n5KeReGzWVE8adQWInifZVzY0VvO53V46D/26yLdTRVTBCREVQueoNGNyyAMr1jMiMaX/xUVJs2K4F+mLMWS7XqRhN1YYtm01omqvXLSqEU0ok4aTH/fvYCQlLpSO1ssCEuBagTYdJN5bJao0j/kdzY4XrR2WiC7vnwjjesbE89mfF/O7prcKunOpHzJEWxFVsdbX3cs/NHTeupHIyD+1npypduspFb/XdV3vuyAjTzCzf5hZuJm9YWafc99lAnlDiKOzso1W9jhRvZEuAJvONzJ06vgdb2RdQuJuOESiPZYvPN7pFITqaquiUNl0htGmcR4eKzWKBNghV9GAq9hAwVBcQyU8KI2KZX0FmTlBICNPGslz/S1HqcBnjxF5ByJ/urGIAuhUEZVQQjgFoUrmbhdl8oPH+a5pez2fa6ql8KmopcLIGizadhRe3NGiOkZ9XoTFFUbJteMY0WqtFmjOQlEpjlN5B8fqyGeqO3ZFB5XNtOkiV+YQPdc9rTzimiHKl89U8b5MgRCuWn4cbfR9drTgqdWNpLGjoo3FF8IpU0oFXRwPIY9enkTZECSKEoKEJ7de9PfrJ6qzpgrnxjq54YGxwpFJ5xoc+B1l4dBR3J+2BtJe9HBRNh7C+8o28r7COvJQcRCjN7d8nnx69Fe+8qyuk986Jlf0TptEGtv3JOVRnXEehcH8BtWgeK1AUp8RQydjaN7KDw2d9/F6L8jIa8zsod6k4x+b2UNm9jV7Z2TkP1oPPs4O6zF0LjWzFe/00qYWEvK14mhJddHOq6WgVmHmKTN9iX7tMhocYaISK04Iwh3bSMh5oVzma2MoLK7+MTvllv6ETKA8mzZRddbeRsWi8gmUhzslgpGFyH40JlXDvBOhIoxykMaPqlRQAHdTBDrrE08xciZyWO0ScTTyj8O+UaOMDpGYKeDwnxItJhadpqd9PIjG9MhuUZkjOnxPNiZcdosuyNWnaCW2t5HOOrsEhtP1pJ/AYezVE/n4YYyFxVO5HtxPOlOGvAIWLBcSqF40y53xIG98+Y/cjxvuI60kHfbdy3UiT+3m4TQcI8aQxnY9TQU8eAANp3QRic0vpjya+BDpp+JvZzCWIY7pBo/ne7eupeyaOplGZ91x7mNAIJV/h0vlf/gQj4Nzh1CuHFrhwdiYa0jfim4nX0K5N6mTdFv0V9JKaZfvnAsFTk+KAMgMLKI8n/Rz5m69/mUeqw0RAITPVlIXhAvRmC96F/Iw7997dX/AT3be63VRhk4vMvIV1ouMbGbmuu7qC27ZYWY39o5fKNHDrBd+pNfoiXFdd3vv30+Y2bX2LoZOepYXY0/nU1B9bDGZdGiDwFApo7AtO+CrrEfHUYCoJFGF3hnUSGacOoERk446Ee5+fBvGEqbRCEnoppfVLfIajh7yYGxRGgWmE8jfqzxHQVAgQMYSRZ+aOxNpXNSIhpNHdzMipjp6B44djbHpz7BfU85vZmLs0QcxZJ+823ffzj0tkFkXZmLsnhoqDFWFk9soEJ8PUGm2ll2ccFEVehVeGheq2/amWq5xZhGNuBMvFWBs0Bi+Nyie3mypONJUkAUx82icXfsSFdpjLaSz2D/zHanCAPSuYURjU4GvvLjqNirbPU9znbLqaex3mQB5TKOceXEvldylqZRRtc9Q1nS007lTWEpNFdwLj8PIXOd5rlPscM658SzvGz2V69klEBBqi7i3A0U1niual/s3VTYzyxItNAKmTcdYxfrNGNsY5iuDr2zht6aNZ2Su/Ah5qvARAP7bKyJad3075zu7gws16mPc2xf++s/EGz68/pXr/UJG/qiZPf/WH2+DjJxmZhdK2GIzEz15fZGRfzJ4iH0kxddLuTWNCidIhF1bdjHyU5RPryr3Ml/BV7WTZndJhwD2uor3/eM5EnzMcRoSqVdSYB56ir938jjvU8mz3qMYssVXU4nU76Mwi6CMl/DyClVaOQKqsWleB0knXXQWVBGdMw/txlj2VTQoX//kQYzliPD+H/16j901hHRS9bzA5BH5SMMFNkqtyDsZcSMl/NNLaLD3F8cMU5OpIBPDqawjx1JQX7KHUbPTO2hIjPhOJsZ2fZuKNFhUsSUEk6Zqt/F746bTiO0WEafFLdzbBAEVcb6LdPYPcTTw6Vm+8mLls4x6XP4ImWD9t0VPp0A6FCLYazNCvBg776WzFCIwtoJEo8qG85xLh8CwUi1oqgpJF2kJ3IvweD7bXM7v3VXAY+1QIQgaxZHwrDDK7nlXUJ617Cb9hHfRqIkNp2x90K9Jc1GrB/f86YCoduvimgSJKNLXjGPJQ8hnHS1cu41/ogzJdkSH1T6+/rPjOe8DMrLjON80s04ze/qtsbdBRlbncnJ9L0RGfjHlDnezH5RBpFBeE7cxiqBKMiNEImZboS9ThUaSQDMayQTFSzmPW4ZR8W04QoXWJMp0+4uKqNFNwvM6LJRmHYX3dWu9GAsUZ8mqyqW1mUpOdY1PES7a2UB6PJcNFUdBZ7kud2WJUt0CCvTtovuwx7hWo3JoxBzziwhGzs/APR2vc77TRNPV5jqu0xmjoZO8iYZJcgcFpsqBiUjmd+3Yxf1OOcdnw0I4l5zLaTSc/RHxQrrFd4z/GYPqEd84gjFVZXZ8CemiSLSPSHKEkhM5RG0d4sijlWtVvt/3HWXiyPBP3yfdTRTRkVLRq0jknFqHyA173aHBkSqiLZcJxOzEUNKPZwx5ee1yKtKIJlFKfpC01yIaAx/rpIMSJIzdCaLqSDkthfk0siPLuM67Ong8NuIg6TtnBtelqdD3veNuFMCxLwrARBGtmzGDTsZT2+if395fwJbUUT9MF30Umwr7PGXl/3fXe0JGdhznbjO70swWqKRiP2TkYutpAfHWlW5m79oMZHQ/Gg5n6ngM0CIUjgJzyxd5K8/49Rq5N5zv3N3Jdw5sEe0KDoluzGFkxjDhyaVdyfk27SEDdXcK4dgtjnxEJ2d15BEdIhKZ28j080ZS+ascnagW/l6+aGp5VT9GnFYfpac1Sdw3NIUh/3AP96OrnWs1vM137b2vU0grsC+VOBqdym+99mYK+JolfHa+8mTP8vfESaU5wkfIuYeGxLbHGEVoW8UfzF5EJRJ/SnS9fpyCOiKCBtEugV2SEcB3DAqhEhqQ68WYwsRqEejLE6ZTMRXv9zWK77mKtLNyCelTNc+NENGb4mOUDQXiKOPzN/II2xUyZN/rjE4nRnHtWraKvEGBm7Q9jHQR0SCqqQRNXXOnOOZ7knJqeRX3+6BoqvydTPKyAkO8MUP0EVxDI8nfqDEz21roG9WbHSyOnAMo306KsfZqrrF/k1gznW/X2kD1GrWQ6/THnXzH9zHy7726/8NjOu9q6Liu+5D1JBpfCBh4p+M4l1pP8vGcC/NyBDJyjpnl9yIjn3ccZ6qZ7TSzu6wHcPCdJyjCuFEOLeXoAcIrKKPRUSsI8jMpvoygwt93pTBiFJEocB1mZmLs0T9Sad4rQMGq1lCAFFXQQxt3PRVQZoIXY2+KpMt542isBMVQWNRtoHA8coReVkwwFbNCgK3opsJVvbiKuFS2MImKubON72jx8uHEO2g4Bf3MV4g2ebnuqnqnRSTGHy6nUureT7qYNY1jJ1dRcA8TDScPPsXvGpFGhdG6jzyQmynQaQW+1LOrRFl/IPMYlKPQGMC1GhYomp12kAaSRG+q0GyuwdDZNCYaVpCHWsRRS0WL7+95dnHtAsXRS5vAG5onWqi0nuf+TBWI4fcuYxTy6k4aWIMc0ntzG98RIsrfh+XQeK4+xQiEyoXbLrBwUlbxO0ZN9mIs/Qz3dpbgl4ZqYUwIHK9zJym7Z8+iwXJyK9dv8XxfWd0t8ibDCsiP107n3raUkLbDsrgXB5aRPjNSadjuFPAmVwkU7Q+v9/d6L1lQvzOzUDNb4/T0idnhuu4nzWymmX3dcZy3kJE/5bruW5LlAfvf8vIV9i6JyGZmdaIb8ZjLSEB73qClPCiY3iJ7bZsFhfoyQkYHjaFDov/MoFoKgfRkMuOINgqQDtE5QR0XlQgE01ffIFNd20oFNHUAvds1B2n8jBL4ETUBnMtCIQg6G6ggwnLoLYYtE5hDlR6MfWK2MMSSqPjyl1M4FjXzvX/5PZXG58f7CkJVXh41iuu+bqkHYyEiQSM5iO8s2MtnlUG48UkamHM+SuH4j6dI77elUPGvKOER1x330Xh2D1BBKqMm2qVyjekSglpUl2SJcvDEsfT6D4voSkYm6SL/HPlKgSGOyPaN2LU0cG8Hi6hrvUAUrq+iPCpuoFKeNJJRwh9V81uTFnoxFhDH31siInODWklnbWco0ptFJ3AV2Z2moCwEUGpijmjHIaADPibKq/tN4O9VbBDVTql8tqWE3xEpkrTrjvjSwOoa8sCsUOqQY5uE0ZnN6H5bPvcxLoIGe+wk0mJBhSiHD+Z9UzDy773+0yM6H3jAwI9m3ogJ/kp04/WKM+clorxvqgCiGnGrr6Be/QyZdvY4KvnqM1SsCg6/4jh/LzxKVFEIoaLO+n8rjJBPdVLZBIo8iawFnF/rOT67VnQ5V6XAiwK4F7UtIulSHAPkTqdgXSqiUKrUPSyC0Qu1fikjqMD8uz7vCuF8P3EHBdfav/P3xwuQx80iIpgpzp/iokmLUR6B0FvswdiAdC/GVE7EhipG4SK7SRezRDLlrwupIO4K5nuTR/M7VMJzVAS/rayBvHEqmMpgVBf3o8rlfig8k2HtvrSSFsVoRtpszi0old/QeoAGTPjsLIwt+xX5O0sc3XUIYzcqlM+GhpFHvyUiJp8VkZ9y0azyMIfsCxNIA/u2kH4GxJHnE8dzzsXb6aCEhZFvYwcJg62O69IsIq+qd1T2ZF950VwqMH6G0mgKnkyIBe+zeRiLGiHyF0W0buyDnFvFc3Q++4+n89Dv8Tf7NHFnWho7EPy7ru0l6z+4gIH/V9eO1OsxwVBRbqvwQpJSGDYpLvFgLDvHV+FGTqOnuPFvZLLhyQyBv1xHwfDAPRRSZ58UVSStfEeNy7HZiyhsy3aKc3hVOcUmw3ZwDT0Z1X9GVYj89TyPbh66hYLr2afJ9HWUP5bVTnrcJN77QDANmKIGCpsDAgF1tF/C6vABjGZUlPG30gd5MfZMIY8FVEPCKdfy2ZodNP7qarlOCggxUBiOLR0UwGnJVEpv1JBGrxRgdqeLyAcTr6Qn3HCE/HhIgGmOz6GQj7lhGMZe+TENkaQu0WAziMp1+MdptFa87MvfG0XJvUJWHzbPi7HWIq57fSUjHGnXcR8rXyfNBocJ6ABx5O6JoaGXfDm/dfuTHJtyJR2FljMXl89WUuDBWGw/UV8urnM1fDZnAGVmWD/yd00hncgCwd9T59PRqD7oKzPVGm8uZ0R0g2iZ8y0P+ecl0bD2qgg6bQp3TPHFeZHgfktZ37aAmJo6t88MgR2lGz40dPyvxoduwATX/53KXwQvbEgchfJ+L4V3dqCvUleKpbKbhsSgCAqure0ejN08jWH3j+6kMEsWyXCfFl6gah9xyZ00TKrW8NnoZCqHVq84Iy+g8RMl+gip9haqDF0lRn+/lEco+SKp+qF2Ko2jwRTo0wMFhLuHwsuT4ytYj24kTZQJL3jhXB5L1p/g2v1ZKNJrOrgmNQKxdZhIslaGiciJtXtuJQ2cfI53ejycizpGVHD16ihZ5d5kxNDJCAklrYSKxpTrihlJKhXRxE9dSgO1khXIdqDO1xgfGU25cKqBx8FDRIsF1dE9NpHrvleUYI8T0b/mBtKAilZ667jug2/mXJY+TQNhoegLdyKPNKqKEooF781awO/Ytpa/VxbMTRvnUGaq/oBlJynj+vWnPFMtP+Km+hr8BSu5TsGiqaeKiCpd0NDCPWsTLVkGJZPO+mVxjTu8GLKk9Rs/NHTex+uic3REC4hHzOwa65G5lWZ2j+u6pY7jLDKzH5lZiPW0h/iK67rr/H7rNTPLcl2XsJN+18mnaO1PGUGvoE1kuNdViT46YRTAJX65HTNuoIAbUkYF9NouJnDmdNKK76glDf0ujcLx4FkKqUH38xvKHiOTVq4Sof0aGlMV1A2WPYLfpoAAZWJ4Ag2JsrNUGgc6KbjuD+JedHRRiKQOokc6MpVzOSG6i7eLtghxE3y/bdx3eNQU8d+F/K1KvlNUb9snAqkIdor+OCovpKWJUZmMdu63iiZ2FovkeDFBpaxHjuScTxylIZozggQ0QFhdO/IY6ZohEnk7mqggco20d/VUL8bqdvM7EqdRhsa87rt+QcI4PyFaE+QIBPLsL/N4o3XFPoyNbuU6vVlGOluUTuP5+TIaerO7uCZd1aSfbIHiEZoolHAjeepNceR6+QgaSU1nuVYzr6VS3/Eqj/4yJnox5tBvNa8wJs4UU54tuJky5PCLvs+2doscmPtonOf9kb+VkEjHS82tOIgfMVAYTnsEcn5KBPeWrs2/9/pPz9F5Ly0gfuq67rfNzBzH+ayZ/ZeZfdLMqs3sql6jZ6SZrbILgAEdx7nezEg9b3NljPViLHQIFWnJS2RwlY9ybh0F/9kQ32UYuIoEuquVRo06erlmOgVcB2WKrNSYPJ7HB4rkJ86kUgoexDV5+kV6gXd6eOwVFHNxyYpRosKqRSRQtwp8k+sW8NuCJwzG2B9+wT0bd5ZCZOIwGmepqTRQG+so0Fa94et9jthASPeh91NIe5dTsXSJxPWaSpHjJVpK7DxKhRbcSoEzMZdrtyePArO8hgSpMFnW5dMI2dtK+vnuVSTc51eQD+Z7SPOzpvC950VJXYOIVKjjpxZRglteLhCUg0g/gxN9v6NEdCW/bRANjtJCronneRo1x44wmhEWSGPqxhu9fPYlD8YmdNFZSs0ibQcNIg14RSVW5SEq5qYmjnm6uMYHjvAdY0UT14YDGLI6cSQTnM69LVgtksNFD7n4ChFN3MjoV1y073ck5JAmCv9BpzLWw7Vra6Es2xLKb4gWxn6jWOPJohfZ7rV0KEbx5z683sP1XlpAXGj+Rlov+J/ruvsvGD9qZmGO44S6rtvmOE5U7/P3m9kLF/PuyuMkyJYDovdPO5lg2Ex2X47YQXCzCfW+IdHkkSJZcQeV1zVTBfLybnodZ1s51hBIYyqihkouZh+Zb4zIs9m+hd//8Rwqm+Y6UUrdyPcOzmLE4MgZGl2l3SShRRlUGoFJXIMf/IqGw9ev59hzL1HhpG+n0iwWjQADxSFPjl9jxk3tVJhDRRnoeYdRmWkjuMZtIvlxk2jKOMpDQ6Kugft4JI/rPi6b+S4Kj6T0HNeuRnD99+/iWMM60emet1lBFd/xWgOF90fnUEFueZPPnnmUezZDSP7kZHrgp9+gvKj0kw3TLidtd9WKqNkV/K2Nv6XyChXecL9IKtfuehowKamMxK4TkZ8Jk+igNawmn6WGU04V1HKNx40n/RwQGGA5EV6MKZgJdUyj+nN1N5KmUkcyKvznQzSoPy0M7+NLRCsUv1y60iOUC/6NnM3MNnhFqbpA4Z9SS9mQEkOdkfFpfsP5V09gbJfII1yEkX/v5X4Y0TGzt2kB4TjOD6wHD6fezOaJ524ws/2u677F4Y+Y2c/N7B2z2S5sAfGLsUPs7kxfxt8lwn+qdLXhSTJzyhxa4/1O+HoPbTUU5yOH0BJXlSUqYTWmkYwcJPIVYsZSeZ8/RMEQKLpXThDdeNubqHCPV5KZ8+pJBnscMu4njHNOFZXFa0S1zthSKqX7RNfew89T2EaIE920q7iPf3uR+3ZvCA2n+GxfJXRZBQVyRH+ue/EJD8ZU0qQ61w8SgiQhh2wwYA4Nor/+kvMbl0BjYP8OkRcylXRxaheVw4m/8x1J6aL3kSsA/nKo5DpPcC5bV9P4eVUc331TrNXZo8yj6hdFvmoQfaKm+eXy1O3n/hwuJ82OLhL98/qLMK64/txMPvvMMcoQZdRcO5PGc0A/rt3p0+SBF8M4v68MFEf9Ii+vWBjKjc0iGuSIPKVhFAQJl/D3jjztwdiGYBpxE1oF/63CkKzk8zzg2/Ou6Qe7cI9qJDq0k/QUewmLLRKeErwyknxx7Gd0hLu6SReXCzyxD6/393rXZOTeFhCXu677qQsAA6/0u+chMwtzXfc7F4yNMLPXzOwS13XPOI4z1swecV33KsdxMs3s9YvJ0Tk86CpMUFUnxYucknWNJNL5UWR6fwRlV3RZ3tVNBXzLLAokV/Qq2reJHtDo0cqjonIY0I+KILo/GbKqlMqrtFXkKIlkV08uhVQzezxaSD8q18h75mPsr19mO4F7bqKh03qU4XgVMnDE2O49VBDjhLEXOZHe7JtP+RonZ0V344x2fuu4JB7RhETQ+Nt5jvvYKCJ4A0U+V3wkhejAebxvx+tU/JNFBcq2dcL7FonC0XGkqVdLqfwvEfwT3Z/zUy0g8k9TyDd10bh/Ipz0eL3AtMkIpYIoaaXh6R89XTyFx4hVeeQVlZMWLcArN4po3WLRj667md/lCjpTIHgxkXxvymSOBURQgZ9dTYNoyH2UZ6v+IAwdFXkW8ASXiL561dtEBaVI1L9sqEAaFjwfPoqRmZdeJH/H+h3BrRNVVx/pYFRGVelGDRBAnzvJe6rH2LpAyuRPzGVUM28Nv2Fq6St9mrA7MWVWn4V09pRt/kAmI79tC4gL7nnGzJab2XfM/ueoa4mZ3eW67pnee6aZ2QTHcfJ735voOM4G13XnvtPLD7aRCKb1pxCJ8Ij8Edo+tqOBxs/0fr6/t1GE3a8QIcyyPTxmUFUA20RosuMQFXV8MAVX7Xm+o1LAtyu05IFlIudHnCXXn6Cy+buo9HmwPxVEwx/XYyynnc+ufJaCdbgwEgZcRn5zIimoyw9wTYMi+ezGJ6nABvi1HejXRsM5RlSgxAzkWMgA/n78OXqjYwX2iFdUMNU1ixyG17l2s66mwfriCubeLBpAGnCEmCkrJp/dNl4gD1fSm195ju8NEWKzvwAWbBR5HL9d7MXYwaWiU7kwfibkCKA5v3Ye5QLcTh1fju6k0XmqivctDeN9Ca9xPUeOFa1GaknHBwJIU6kCIyo9gWv3t1f43ktCeeSz9fei6kjsxZUTSQP1+eSXba9S+auijsyXaRQ31/L36gVvZA8h/w3tosxcF+q7Vp8J5zzqO0S+TwXpIm42CTnyAPm7qpm/J3Kg7YhAQ1cglx9e7+/1T5WXXxjRcRxniOu6p3rHH7SeVhA3Oo7jMbONZvY913VffpvfybSLjOhULZqDCbbUUTjETqUgOPASBUZkMIk0eYCvJR89WmTVv0kXIy6dltTjZ3kue1sihe9LFTR0ctuoCAb357FAWDS/4WQ+DbhJ19FD8e7ls6rbuDoaeukZGljBgnxGhVCwBAgPP30aj24UTkmBiASkDfBiTCnrtAzel3/O9/eGTaU3ekp4balp/K61olIlvZNrnCCUoVLUx0I4ds83OZejj7AqTJWrxwZSOWSPoZG0fT+jN+khF4eXMuQ2CmonhDz6nICF2BFExfdFgWjeKYAz6wQwZfYgge5b57suZXVUaCqSVt0kSroz+fthcTQaavP5bIDIC1EOmipUUKjpqVM5Z5XY2i7CpM2ibYdqlnwqlPv40Su5Bl97g8b4D2eI6Pk5rsHes4yABgu9pCK2MR+fhbHjDx3yvSeGxtCxasqUzSQnu1+AlebV8tmjoaTP6W2k7XoRWxiZxHUadHDNhxGd9/F6Ly0gfuQ4To71xAgKrKfiyszsM2Y22My+7TjOt3vHLnFdl+7MRVy7DlEAz5hLgt/xIhktQ3jRqoeRP9x/yykKkLZ2KtH2Ri7f1cJ7OlpI4TPBIRNMfIQh8PY3RdnvZnoFqf0Y0dm0hPcdCOP3f2IYIzUtB6jk5iXxGE018/uNUeFeKRqsDsrhmgaKLsDLCimBbiynssq9HUN2+gXShf8xZ+gokfPVSON07VHuz43Xc78DErnuq/7A+ZaII7PF4mjouz+iAvrSML43tozrpErJ3xCJnuOE19skUHYDhbLe/g/et1VEMXO7+OxPZ/F7VRm/6IRiia005NWRxz4/TKgZojVKv1GUvZVvCJDLShr7fxDVQP+VzqjzKhH5mhNM/t5XTXkxWrRnWLuOdDsrVxyniyhu5HjyRdWblEnj+tFo3/synarvi8KMY+t4X1oK6axVbNqcq7h+tbtJZ0e+eBJjIY7vfVnjKBtnB/H3E1bxaCx2BI2kyBry49RWOqlpCaTP8DrSVMIC0k9fX//p5eUfeMDA08MXY4IKfO6cKDUdNZrMV3aKxOwPr64S1c60UDCoZoY5jgBtcykc00QJabgoSc0YTIWmhPmu4xR6RaKHynUZFIS7Tosqjwwqg+2FvG+YwCVSOVTD54qKiY0CZyOLEazgSO73s8eorAd08L4M0R07MtJ37ZOmUkjVHyZf/Kaa+QVfTOU6bcynca6QfYdlU9gGijOfxmoajsnXc+26G/itK58XFScYMZuSzu+oEUp9czd/b44AajwvolVVRroYnUBDZ4vI45gqEtcV+Keq9PF2+b539iOk463f5tH0mnAy2leG8L7d4hh6+lyRiNpM+mwqo6xRnd8XzqfhrfJ7Vm+hMVUnGhlntpPmc0WjWCVro4dzXf7xJuf8MYEIv+Qv/N6Fg8WReBWN9uJa0t450S4ksdNXjiok+SXCSJwgItEKpFCh66u2HZGizc+L52nETm2lLphb8WKfRj3Gp8zsM0NgX9mW/6ciOn1yrRSEUSKAvOaI5JPfnqIHfm8/Ev0qP0jvm0bzXDrwOH9fJVzGpYnjmOM0OMbdJcLd62k0HD3BfJfTwfRsbr9ehOwP0RtZWkBBeJlQ1r+p4HtvC6ZnpARBRwUF4fOb+d65MZxz4Vkq8GBhAKaIpO9pwps9d0Iow2G+yrCDusuiaEfZw4souNoFXUSdFe0ZjDTwcpEA1TNGzQ6KRPjrC6j4XllL4T0viQq3pJyRtIu9bs6mUjqYRyU3agjf232ae9EpIqyBQuS2tpDmVam7qnjzv45+Nx9j48bSEJ82mkcU5nowlH+cYnT4CZEUXEbaVnQxKY1rd26zcLTaBRZXEuVbm1i7FodjBaWcX6VA87t0Lo3JMwE05H//ON9xZTgdGUdseIU4XnwjnGvVbnzvD673NfgLXmfEJFX0BqzppHGVNpYyubyYRvyiyykHd79MPrszk8JGOa59fX3QAx7v9fqXkZEvGP+ymf3UzBJc1612HKe/mb1kZpPM7B+u637mgntvM7NvWA/mTqmZ3XlBZ3N5XSeQQ+sqGP7bEuLB2PQWEvOGDirwAj+vZdkBarlskfSmGlWmDeE7hwXTc28m7piFU85YYg0ZqLqVns2SpVQil4+kwZYlPDllsE1tpdGtcoPiP8Y0K8/uYxjLbqeR5IgKkcRaKhxVhRLXzbmEZ1Eox5Vz/ULH+RrArTupvIMHULGs+IfICQnyYGx4PL+hXxrpxw4w8vNyOKMoDw7i/F5ZSyN+fhINVpXb0S9ChOMFTkBeIfms6biIyogeVjtOCjBElXdxJZXQrPU04qIzaOz+fS/XKsXlHt3S33d+SqGXn+J+nzzIubWJTuBzhfLeXcGolDr2U1f/xVSQZY/zWdUG5XFRyPh9UV7+WgHp5zNfEhhbBdzbNx/3YOxz8XRaYoeQzor3i4i6QG4OPM7vvU6UnA/OpWz9zmu+Bv8nwrgo065m9LN+u2ijI6rxFiyiIRo4KANjKTFcO1WsEh4vMDo+vN7X66KPrhzH+aKZTTSzmLcMHcdxBpjZX8xsmJlN6DV0Is1snJmNNLORbxk6juMEWY9xM7z3vp+YWbPrug+/03vV0ZVKTIxNpUJbIzpwJ4rKj5HZvoSrGtmpLsPRYfTwFRCVKlePiBTRgTZ+l2pUGSsSODOHU7kePkSjbvAACqSGWgp01c8lNoqenOo+PXosBYEjTGphO0qU2YxkL8aKK6gMBmVwDYLDaYz6owqfE/D/80OovNoF3aUPF4i1cbyvPo/0091FuvhLPSOYFUZaUcorYgiNmrKtXPhCCaxIulVJrJOn0ghpreJ9/gnfZmY7g0lnsbRfbLo4pgoVJeeHRK+0hT/JxNjyr/kmbqteV8+oqiuymU3L5PfHTKDBcfQVjg0WSeB5+/kNKXGM6pXVikaf4ZxgYgafDU0R+UcHyN+BIrKSfCvnd+rPjHLUtHJvJ4lGtq8t4+8tFm0mzpdzfgkLOHbuVQyZt9V37fMD+dyseJH7WE5nMTmMeqVJVGkOHiZoVqx7V6NoCpvP+WUdXt2nxztjkqf3WUjnYPm2D+bRlUJG7r1+aT1AgkvfGnBdt8nMtjiO44/v7/T+F+k4To31tJI4/W7v3lvHhLaJ/UlUUYtpUV8zmoKleIXoV+SHDzNwKBWm8jpqjpLgq2vpZapO04nxFFKnj/Nb1VXURaEyULQiyE7jd8TfwnXqeoqC5mCrB2PjvsZni7/J4yLVu6bgAH9v6O00CEYEMPT+1AlG2D66iAqnUVBTZxv3zeP4eob33CKOGw8zAvXyUc4j9DQV8IBraHD8eCuF2V0iuvaVWfyurRt4NLT8LI34jnMYslEdtCbHCgynDUcEcrMwCEoPU+GeEU1mZ04gXWTUcr+/VurB2ECRi6F6CV2zmGvlfYzfNtrju/apV9NL/8weRs2U0R0q2gS0n2MkIDmR0Ydu2qtWHEC6GD3Fy99Lph565Fk6GZHnuHafCue3RcRwMioHb/BjNJzCQkm3bSICXLiGfDBPoKY31/C+wko6MuXPi95jOZTxA5N8ebdkM6OLoZH8huEDGB06XkTDrE3gMzwl+PGSAjpB6eO5nupbszDy4fVern8ZGdlxnKut5xjroKOAOfwu13U7HMd5wMwOm1mTmZ0ys0+rey9ERr6v32RbEOFrM8mOx78m486cRWVVITBy4jt9BdXJPN4TcoJMludQYAq9aleJfkPNdWTuYZPIaMv3id5C4jjvpDCSskQzzIZl7OsUEEgyGCzAq7cIo2ZENg2Tc/vpHdd3UKBv/AcXa2wWleF9i/kOBdnfLSIu7aJXjf/RTctBCp+2Bv6WwlIqL6Fiqd9Kj3exALJLTaeQdgUY28zLSRfB09gTIf/HrEDJ+BTpomUTf2+2qLwrOe3BWJzIyQpvIm90nKdMKMgnXfwwzYuxnSIZ9wqB6fPDjVRgD02jodNS7zu/pp3ki13H+Vt7RYVirohCBns4tqaa0dSp9VR8KsLcWU35dk604/hCBuknVHSDzN/JCXpiuY9X/oiy5vFvkS6GNlDW1geSX5QBfF5Eyy+fwr0dlUaebyiksestF1hUJ33HFo7gN2w7zPy42TPI3zGl/FaPQOSeMUIchYkefe2iwXOuOH7r6+s/vQXEv4SMbGY3m9l66ykbr+8FAZx4Yb6N4zj39I69dXQVbGYrrceAOWtmvzWzctd1v/9O7y+cuAATVOecKhdB9T5SV0K4L9O/ZHzuk6lkgggGOKyjmkJfwdcrHJi/lYtkUoHFECwiROr8PzqSz7aKijLVhHN7EI24haK65kmXXuVn4oWQEsdju9s8GLvxGgrv7hZR4voGj0YGitL0ABGOD/ZDSi0v5X4PGkllePAAFfDYyVSsYeO4j04M12nJLygwLxNC3xWRgMqTNJwUDH2rSAzfeo5KXVQgW3y3iFYJyIaoWNKZwkZ5LYy/d0Wr4NtgzlnllnVdhINlxqqbusP8fSU/lGhUr4yI4fcHhagV5aUwcw5V0ThdeC/fUfgC6af/QDp3na00QlTD0kQBH1FbTTorbROI68kXV7HVLZLP/+Zl5GyRqESKFpVNgSK/0B9fqdZE4rWAdpjYzvVUiPvq6Lc+gDJU5aSpatZzBZRls8pFl+p/4zU6eVqfWTqHyrd/II+ugIxsZk+a2SAzeyuak25m+xzHmey6Lney5xprZvYWUrLjOC+Y2dff7eWBApGuTuBWFDSJZEIB4nRZGBWYP/pwqijHbKgWCMUlorOtKL+9W8Cjt5cwIjEznwr9iXDO5f4OkU/RxW89cp4e9BW/YMfwg186jLGPicaHTccoCO4t43dEJlEpvVDpwdjHF4qSWRESUx5up8gf2e2lgpidwXf4t8sYfg/3sehFCnil5J84SC94wm7REsG8GJuXJdCNd/P3VERQ5akFJTIvJDJKJMeXMeLkiaeHr3KIujq47i0NAiMpgkrzOwl8R0gU6aeuhIrUM5jPKgVeVkT+O7TGlw8UvsnyViqbOzIZCSgv4O93iK7xMbHMZwsVe6EMrPHpzB+pW4sh63Ypk6Km02g4+SQNBAUuGe4VYKKismtkGiMQe0v5XmWIXrKQ6mHqatJAWBDHIiIEWnkCZVJ0g+9YbTkj9B/7mAAu/APne6iedLFgKukiZBid2dWPkx+fEj3Vbor/v4/odP//verKdd2HzOwhMx9k5BsuvEdFdMRVYmbDHcdJcF23ynoatOa92/vVmXjFWSqh0QMZRUgUnnr61WTctHZfxTSqU+RsnOJYxRkaV3MCqAw7RNPI3bvo9R8QIGu3qmhGCL//MlFxM2aRwJ341h6MDb+C79glwAb7iSqPl0Xk554zZJqb4jm/rgYK/vw9HoxFhHPPgkQMIjdYJA56qYT9E4g7i7nu9Y0Cwv8+3pf+F37rkMFkgzKhIFU3+NkxNMRVGfpMh4ZE3jLShWp8qRJWg6L5HZ3i+GmtSPCfmSx6jAkIiBfLKORVlPBl4Sx8RiSF/v0sf+/Bu2lkbvyLryGys4aKb3I31ylsAI26mDrelzCLhk5zHnnqfAX5J/MByoHlP6e8mDOcyjVzIY2VfX/lPmZn0bBry+ecg0Moa3/eRePiSyKvaoyoujpbxft2isauqWJvo6NVlEw4VcO5pu17fNd+0f2kRbeBa1xr5J8WUWVXfJD0OTCM+Wyzx/C9JQL/q6KG0d5sjHx4XXj5V3u/2/3/FhydXsMnxsxCHMe51nqOuI45jvNdM9vkOE6H9aAp3/Nuv1V01IMx/6MmM7MO4d1ljRelys+L30v2JfrjhYwMjB3Nd6bkUmE8I1Bn706ksBgYxWdHiMaKIcILbDtG4dhUT6HnruI7PCLa8uhqKtJuAYc+t4PC+/JWfltzN42LsAg++/ourtWiQYxehPanwIgV4Hit9TSI2kSOTugQXwN1pWgMOEAAz+1+jEpkssA8iRpLT7vrHJXmUNFgNSxGrLHIR1rrpcL4yJdF1PGJfIxtOMH9XjyXR7Or99KQCO8WzQsreEy1IIWRtHHiGLbcaChfKzqa79tHmv/st6hwWtcexVh9oK9xVioitoM6+V0n1nsw1i6qL5tWqOonviN+jMhtefUMxvp10wBuEKjXP3hWJPuKSGemiMI9EyJyBJu4F79O5j5uEnlpkef5bRNnkzcUoGFYG2XXeVHZdDqQaxCxlDyZFeArqxNG5OKe57/IxsPZRvk7PIZHgeV1dHAHTyOvdK46jrGF4kQhyiPK+/r4+n8pR6e32nuRmbEPzts980EHCto34BpMsKSDDDlpKBmyslDA/6eScP3RaAtPCcReAbkvjmWtvoTMWFrNeTS5fFg1OBTFVBYvEhin3kCv7cRrFCBtnXzviDlUuMsFwF+M6IWjMGNSPj0UY7/8Ee9b2EFjIvcK7k/ecno8QyZxzkd3UvmPuYrrYn5e2ovL+dztD4tQ/Kl8jNVv8mLs2Fn+3nmHeztYKHQVnk+aTSL40xsi+Vwg5c4R1U9Vp+i5FtWTRnMzGVIPCuU7VpxhlGeGKBHfVc85LxrKSIWqlLu3mIpvegCPC+a3cf1eDvNd+8/3I+1sq6Jxcc2tosWEh+v0+J/FEU001y5ctFMIjSFPPZ1HB6BNyIFbEyjzzhbxqKVbYGGPn8v5Fe4kn8WK40ZvNeWvamqpwBDrRNLyJAEc6o9Wb2Z2vIz7PXU+jalOrx+NinSpxgrSU1srZWNdA78rJZl0sa2c9FMXyHW/+15+17mnKPNGnn29T/NYRiRN6TND4GjFzvf0bY7jvGRmj1hPtfe7nSSZ2f8DyMgK6bSfkVh+Jkojb2ynpRwaS6o/vd+XgWL7kblLT9PrP9tGwTBRnK8PF9VUQfH0qL65noz8qUAyQYgo7zRhJOV3UaHNm0TFsnYTFdVU0SF+Xw0V1dPnOZb5fYZxb40lLYYIbJTnV4iEbA/nUnJIYMGIhOySDSTxkFBf5TIlxIt7mpcyKVjB9QdyG2ViYlEweTtZeK1RImRfv58K8mPTaMCc2uLh/KLIP6+2URnem0u6UD2SlBFyxTCu1RvHqazDhVNVJsqhVXL8XSLyM1UYE3ni277rV4lVtofKa4FoQ/DK86K32Zf47LB2Hr95BjA6ED6ZyvCFv5EG7p7JvW04w3VPeGAcxvZ8k5G54TFejBXvFsnsmTS8g/txz+prOBYgIgJvhnNsdqvAtWqg3Lv+J2MxFvXHZRhbs4F7lOvXt+2lLsruW0Mpo1ROo2qNUlrC3xsRQuOnUfB3+SuU50u6KEPftdv1+3z1ZY7OhVXVvddjrus+dpHP/lPV3v/z3D8BGOiDjOw4zsNm9nEze0vafMN13TfeDhnZcZwIM3vReo4fu8xsmeu675qMvDP1ekzQE8NIQOp8PntqmSC0dgqqaTN9ibmljAvYLHI9FIjXgGQKvcgEepnV+aLceDqV3JrVPBa47DM0ajb/hu8YJo5GgkLpQSpQva52rsHyQkZ5bppFofzoNt53Vxrvi8ym8C7cQoU2YDqPqZZsEM1eRRThYeFp/sgvGXV/MRXQQNEjS5Xkqsu/pYiZ2aX9hefZzu8/XUNhG+nQIHSFl54YI+aczDmHCSAzZSQVdHMvLnsAQ1bz2tvVH/heqrBAXWfOUfEleaggmprIk3ld5Mk6P3aZ1MU1UVWQewrIezPHkY5D0hk53fka91FFyPrfPx5jnYdPYOzYC7Sok0VkoV5UN1a3cGzsdNKjSmYvXU9Z83fR4Phr42hglRygEZswgMbUoRNc57hgkTMVQj4obKKzecKv4/q9M7hnh9bTuBg+jnmezVUX14ssUZRGjr+d8nzls6TPzEDy7cTiV/s0opObOLnPLJ28yl3v+G2O46w1My6y2Tetp7PC21Z7v+1v/qvIyL2GTqPruj/zu+/tkJEjzGyK67rrHccJMbM3zeyHruuueKf3lk6fhwkuEwr3WuGRrTvJ+y4VRF/nB2u/STQVXCxyRyKEom46RaMhQvRNKtpFBs24hMzSdJRjQcIw2SsaC8aI/jPpArekvoYKTfV4KT1IJo2Jo9G5uZRzGdBNpq8QyIKqKFegCdiQAAqHY6LUfY5I0vaHJwgI4ls9EyjgqreRVzyD+V3NpVQOKhF3ZBv3J8yhIZozQkTXjohGklfzePAHa2g0fCaBAn2t2LMJwTTalROVMZ9KqfkUv62ujHSmcrdqaugExAkjM+lqKtzOYq7BqTd96TbkIit6lCOj2r68GkIDYX4L35EQRl4pbeWahIroSGwI17isnc+OzaIBc1wcpU79POcckMj7Gp/bjbGwbBpO25d4MLZSNOX+rOjCvke0y4gSx+RJoVy/gaO8GHvFrxKyXEBMLBCl5Eo2vl5BvkgWzYNDhR5V+Fcd5aLwQ+SfXV7xXJ8aOsMSJ/WZoXO8cve/9G2O44yyHrvhLWGQbj3dFt6p2tvM3jsyMq63Q0Z2XbfZerB3zHXddsdx9vVO9J3fLQD4hnRQKKkw+7RECvSAMCqhvdW+DH7pEIEkKuD1K7dzcklzOdZ8jAwaHi7aR4hu4yqSdL6IHmSNAP0rEUco4ZWi15U48tm0nUbi4AgaP49X0fCeIHKIWsV5/eIrBBCgKHFVIFuBAn35+GEaOqpEuqzS19OscUXiYyXnO7NLIOBeNgJjHc/sx9i94qipW4TxA+NIZ6rp6P/X3neG11kcbc+qdx1Vq3dZluUiW+69YRtjcMGUgAktgZAQCAlJyEvevCShBAikkgAhQMD0YrDBvVe525KtYlmyqtWlo961349znOic+5Z0DEYxfGevS5et1bPP7rM7OzM7O3OPnyPST8U+pL0FbdhHRjEKlhXzyHVJHr7Pfxbx71mPYz5PriNYuPGsKUgDe3fgOoZWEZp/HefgrEahMdHX8sDnRBTb81VogUkiFhhm5VlJfM2GL8a98vddOLZbo9DP5ngJWgTHTTBCXQyBLDh8APuYkIp9bP0TAcybikqNxySklfYMXLOkcNzzYUZUpg4RpYbhNW0mmeNvJulCTh3FuUp1stynHygcR3svARdtRX65kuSZ8xyFGpzxCNKi81iE8qhML4I6X2KxtRcsWutMEfk3AV12i47Z+ecpMSEjP9zHonOHiDSK6UrrJ1rr+j5t7pA+gIFW7zOIyHERWaC1Bqjevnd4v4tJSrs12PI0zDBtTrSRjJikjHRC06l1OddF8jf54kmR3S0nOaCJPTqZJP0jFphxJOPzukJkSJMdkYka21EQRAXjifxALTIaBsvuSTDIFQm13LUVGU2kMyoEwWE472UlBqgb/TM8VZa+hMyhqA5P88PD8bT4Ri2O78ffs2Rox/6E1gIvZ2RcLs7EEkByloU+sRDqGp//DOrK8vEb3N1Q0Qufh/12FOCJlFn1ksORBwTMQ2WleivOQXMjCohcklB2uCu5QiH0yKwhuQRdfMX1RqjrLsd9VXoULS5N7ai0Wueky2vDdnMJKm4+QRRmeeuySVjySIXjjUwkfiFZqDi5EKteQgJx2CXRiI1F+P155ei3lE6gLJZqHDPjhWkE94U5WrPiGoRjbiHwDgdKcV58iZWHOSNXHLOUD0FJyI9q8pDumpptC97Y74r74p4peFBwMOBavLAJ+dsPFuN8+ry02W7RGaRcVkWHISObFZ1hIlIjpkzkvxWRUK31XX3a3SFE0TEn91wvIpu11n8cbIBlU+fBAK0B30RE6tqR+MYvwO/fuBOFwXwrR8zdWWho8iabrMgZN4F/D85nEElyM3IUsWYQR8/PiKITQEJhUwzIRNva8KTNku+xk6tXDH5HUwGOr6MF58AnFIWwA7HAOAdj2+ojJGUDyfxddhaVhJgZyKgbc3FPnSq1VPY8Na7tZAIodpJglKTMRQHEEvdV5RBLCEnYykoVsdZN9cc1Y1ZNBqJYRByjO8l1yZgOrPPRtvkL+TrjlV5QMK5P4HJURLuyUemoO420vLYBlfZlXjgvobdYCpeGDcS6xix/pUhjoRF4ePBJxbGx5JXXTEXrQOsF3FMsVUbKYuz36AY8aI0hecw+J9gtN9zLAPOQT4UHohJbUo10m5SIvDYrD9dnPAk5d0lGpaYrb3AFRkSkuZUotl6WtMcip0YTTCxxxXdVfYDjuEASCh8k15dJnchXRhME6bYWpJ/kvA1DqugMD5owZIrO2eqjXw9kZKXUGq316osPKKX+ISJ4ZOXlZRHJs0XJEeFRHhXkXjvGFzdkC6Z1kjKCofFWniUjmCxoimaZfcfGkE1LorpYvqq0FDxVfvqhAepuXISMqyGTgLuRzOcMqnx0Eo65jeDPtJagQDNMREbwyw246W/JRobZRpCbJ/0a/VZOb0ZBFdWEJ7LoVCPUFe/H791HIi4crD43rhPns3IdWvDWuaFgSajA9S7MxediSPLBYA/8rtczkVbunomCv72EweuTMOJe/I7JxDKVT65uGGTB2k/x20K78TQfFoWCmaWFmLgNlY6OZmRLnSR1yXdmE2RtEmJ/6C+W9HjWhVzbkGz1sWMIDtdJVBzDu/Bbly3H9b6wAwXusDRUCBO9UBg2nsbvn/QttMKdeR/XZ7hGfrbmZRzLjTNx73Ugu5BxE3Gu2gtx3mOCjFCXux+tSwmNuI4v5eBh8x4CRRAaQlDIrdI7nNyA35p4kiRxPYLK6bjVKGvaP8V5j2tC3pjsj/Tj7I57r5W0tZfLW74oMvJqpVSo1voiha4QkdODvUsp9biI+IrId2wd4F/qkPhWKGSsXV0oSD8uRUF65xgMhbUGQj6TRe59p+COr8zCU3p3GY5jvKsR6jLexxPAROKo5+CNz2mC4sq+nyXcdI8mWD05yKSYpebAWmRST/0UGcHWZ1CAj4sksPb/wu/10ShIGG7SDuIYnUiEnA/x8Wq2moIjxG8rLQoZaEgmPsdAClm2euZr5ppsgLp7xxDE1q2owLj7oXL2chEK8O+QRKQs2mtEFArX8xtw3uN7kPaSUlFA7juFY5k5EZWaphJk8uyEGxCFNJW/ywB1EcONWOdvqbD1kGtP7xD8LidCPAEEeqKsHN/nkoFCrpJY1z7ch3vq/ll4uGk3QpXU7sIxF2lU9ne7EniCHrxKdp2MPiVy6BxUNWWR66cGpBWWA01wWuRsBs7Lj+7Cw9ILa0h6lEJ8oX+45Ro1Ejyb+zNQsV/qQFCW38Q9X+JErj7DcM0qKnAtamuR3sfEIJ8e6vJ1Agz8IuWSAAOtrq7eFFP+Ki0ihSJy70XFpy8ysogYRWShmHx5SkQkR0Qu7oC/aq1fGajP/SGrYICREXiiOFeCJxlmUu8gdanx5NhiVQzLYqCuYX0h1DGo/yoS0j6W+OPsIpD2AT14AqgloFu+5LkScrV2NUE6ZU54Lh5o0cksQVO0C4mTGjeebPpcZA7+ISQcehUy2/1Po2Whh6zj8GBkeiE/QFTUY49ZClwW1fQ5wYHx7bEtUeO4Yfg+z0AGMYBXsBELcN63ESvKrLGoNDAQtL8T4fpIGtLAp+l4gp4dSJTTOhL+P8IIdc6BqCR0VuH8fXgW53kS8RXxIlFRJ5pRWF17C7ZVfpaKyKm/It3FxCLtlJArpNE/xz3wxB+QPu8j0X7uwbhH3zmJ3z+sG3myP3HYjQ/FMdeQJJyJc1GpObUVFSyWusSRAES6JaBC8PFneCBdQvCVWomgZ0B9vsGo8DfXoA/NH1sNUPeAFY6OK8HrOlyOh9lhJER84hOYubniz6egrpRcZ42aifN5Yg/ST5gv0uyIs0N7dZUYlDZkmk5e9bEhv7q64pGRtwy7GQY4cQYykdP7kaEz50cGBmhtFu8iCRPbCIjZiClIyAcPoLLSRaJNYlyRuGNnIQN2HIbC8FcfouI0hozv+mtxfCVbiVWiE9sOvwWfa9xL/IBIQsePmpDpTSCpIhjIWHwUMm+WkiPKD4ULcyb0IKfZsAmWNHBmNyoSY1djuw8JBkYisXCEEyylkgpyhQY1IrEk0SfDLxrRjf3WCq5FaggqXcyic5bg90yegArR82dwLD8Iw+feKMPn7kpAwXeUhMk7E7oodCYpC8gcBJNs08cbLYV6MIkKDPdFZSDietxnhe+hlSIwAvfyG0WoOM7rwecYJhjL+s2SqdYTK0rUcNw/e8g10KwReHXTUIHf62kg19DEiskslv5JOFedSN7iOoxgdhFk9tcckZb/QqyxjS2WitgxR5ynuSQVg6cvgcAox4PrsFDkPeygHRNshLqcKuIY7o7f8JvCt4ZUGYgPHD9kikB+zfEr0kfnv1pY8sbqLDxRJA5HoX7kLDJRb4KWHDHRkjlWZaDAjJ+FTHXnp7gZU8PRDLmvgkQQGJDBbScRTOzkPpUgMp8kJ6/S7QRVmpyUwhOQ7greQ+aQ8ABaWzpJLqXvE9+OznwU/izj78/ew7rHp6Bi+9Ex4vdEEl22diBTZqiw1kUTh+9JJHFfVTPO01oCGBhJQvgJmckUkuhzxXhUEC5kIwMOI/nTWHZs5YBjYda/iDPYx11eKKkqS/G52C7swz0Z5z25hkg+UuIJmBL7tioj9jE1xHJPrieReGGEzZ94jWRvJxnDPRuQp1xNkvt6+yEP8RuNdJa3ExXqvF78LobGy5SV3QRJ3TkbeVcauV4+ch55F3NId1X4HUzROZGN75tOLILsEPRwJyrjzQSfq7nHki6uJ749tSU4n3XVWPd3AvnxtB9+v3c5Hozea0Trze3xyM+F7Hl7ubzFZkXHGhnZXPdDEblfRLpF5HOt9c/M9b8QkbvFhID8gNZ6s7neRUT+KiJzxIQN96jW+qOB+vVzJYBsxNPe4IwCfOZ83LidFWg+Lky3PG2zzLn1R7BdJ7HU7CVKjSPZtOcrcNOSq2R67F/yAC5b7d9wfASPjzKuEbVGqEt4BOPLtz+GStz4WOz3wkY8BRbVYb9x+djvM6tQie0uwUm4ilyrBK1ChsEibCpKLAXzaySB6aM7UShFfwetdb3/QEG9SKHVcG8vrvfd/qjAPVt9SDB+AABWsUlEQVSHil7yBVxIlhqlqxOZcmAsWjh2ZuAJ/+aFBGuFoHIvvgn32f41qOyNJKlLGo7gnPpEIf1UZpErvTkEOHMErnfV71HZs/b5YXmjQlJxzXL3GqAu2Q+VXZYn69prSVRcK/HdcsF19CQYW8t/jvtxyy+Rr4RbOxyKyG8mIp19cAQPCnvK8GDoQJTiKEfkj1GjjFDnHGuAurGV5Dr0KM7BaDdUFIOikKZYCpECZbneeSQXWySJiGJ8+vk5ON7GfOIsT4ItGLQvSz5ti+vEV13sPjoXH0Rk5LligmS+RmvdoZQK1lpXKaVGisg7IjJJRMJEZJuIDNda95izlztqrX+plHIQEf/BYuAZMvLZfJJdfB6+xjkOn6tchxsou8pSuLCrpjFB+P6/NaFQenQiiQQhd+4Mbr3xJJ4KaiqQ6TMU12ZybePjjYKltBYZQwvRd2cRLBOHMPxeFn7p6klOPOPxpNl4DMfHouxYBnLfYdj2YA4qIkGCc2XUloyQocm6eCEj7CUZVs9k46mNnW6jo9FUnlGIbYOcUIjEjMS2LmE4J41ZUCXFJahglSukFQZDHxqJFoM9RSgM5w0n6T0mo4m+5GNcM6Zg1GXj+JxccD3qCaK3XwBRMq0OH23k8DDZiVgcSZ9RD8VD3dZfo7Jb7Iyd3JKKljkHF6SpDw+hYL7lTqTjsg9xfRi+VDu5V2I+bhVkzLPJFU/oeFR2K08hP2PWY5buIW0S8kyWo+2V/WiFIkGugIRcT/bj0jbkUWk34B7oLkd6euswrs9t82zj+yx1TSDxr7y24p0hvd6JCxw3ZJpOQc2JK/Pqqh9k5PtE5Hda6w4REa31xeP+MhF511x/Xil1TkxKz0ERuUtERpif7xUTDs+AxTsVN1BqJDZryEVN+fwOfF+gJ3GGs1Js5pJw3p5mpIOFx7GOMWmWvFJKsY5lQ2dAgAwzKGUkCutTWSiUmDvts854+vRbiwwzeRoxAdcaoK6nGplUeI8RnyN+B4YUnNP9W7CPka4oXJhSE0+uNK2zbTsQ6ACG+7P5DDK4RSSKb8dpfG5kFM58UzHS7OTxKFh2H0EG75uBzNHdAWlq1NVGqCvcjMKmsQs/2IngVc2MJM7sLfgdHiS9xYE2VH5mEKiEgFjiR9eAtLKTRBhNrSBAeHMt93P9aRyv3yicz4I9eIVU+uc8qAt3wv0YR9JMMOF9YAdag265lwQCvIJ1gQacu2h/VNgq6vE7nIjwDyCKfLcTzlUm8WkzuKOCfpIoNRGeaJVh9D1vLtLZLRGoUDNn6YNW13IRTiR1xCi0zClvPBi3n8S2y8NQPuRsNUBddALu5euXoFU8fzPJlTHERTMQrm9QsfXq6o8i8jMxISNfLMNFZKZS6gkRaRdTNNYREQkXkfQ+z5WKSLgZDVlE5Lfm6K18Eblfaw0Sui8y8p/mjZY7R1t6vtdkIlOuJXfzo1KRqLpakNm45lkyAtdZI+EZ5Ycn43Hd+6Du42w0CU9sQHO6J0HUDUpGBh9chXUBkXjycEKZJNPvQeI1bkPB/ySJLmnrRdJoJoL5VSdciyenEyfoA7g+2wjGzZ2dyMwiCd6MuwEFaXUFjgXP3yIrZln2cWwHWlZ2u+P33xmEymRtEX7X/DGoEDpH4rfOG4XPrSOYS0fckFYe9jZCHfMJ8NpJQOB6UCilzsE1O74Lncrd6gnU/1wU6iwJZYogLbPrNgYk2dWEtPytGJw/hsEjvZYKgXUKEBGRzmM4Nl9ftEBV1+F6xyWj0p13BucucyceWgJIKo/jLyOPSnsE35fzHM578m+SoK7jN9lQF3MtKkkXtpD8UgTnx3AW52pTOR6qVk7CQwCLMrsTsPNF8v6ByhmzZAeOQEUkWFmOubQbLX+xHqjoNO1FxeREHiqi75D9eGMvrm1jLrZNC8BrxKixJAzfXi5rGVTRMSMjV2mtj5kVlL5t/URkipgylb+vlIoTITZRUwi6k5hyW+3XWv/YfBX2exG5DR42pWx/WUSk8d5FWrdZEpYhklx5kEip9wki6CxnI9RNmWCpoVe+gkzfK5jkFjqHDJOFb/d2I+Ni4dvGcwSCnERTlZwzQJ0juUsvP4z9xvrg6fOvLihEXr4Rv9eEGGBZniEnV4b74uOHDOnORDzd1efg9waE4nNNJPfRDOK4ffwkMmCxSg7dTEz7P12MwuvgWjzJzvgpaphtu/HU39uENPsZoc9lE1A4XB+M33p2IzLvMV0kM70P1o2bjQy9BYcsR91Qcbx3MjJl4zFs20l8iFJvxra/+AQVh6dQJ5TMPJzn8SSHU0MVKlhHdlkKnFQ/3N+7G1GRuJ4kAFZZuM885+I6BpTgHO9vRYvWkhjs4xQRruufxj0wOxGtN+/+Eq0NKxegYnJ+HUkmSnzVGOhqSakB6lIIyOo/Mwh0AAkG6TiCB9KiDrTyLCCRkC++iVaY715naaGuP4Lz5ByGH+vohTzP6xzunx8TJPWI0TjvJNhLTh/Ew8iY2YNebHzlpfcb7qPzhZGRxWSp+VibnHwOK6V6RSTQXN+Xwi9mGK0VU9bRteb6D8TksDxg6SxEAcGKXzie+ucUo8CNvBYZcNU2S6IPGIsbyoEw/YwzBCK+BM2Q/m74DY4NSFgszJtBzjfX4yY92IJM1JsoP8HDcZ5+mkkSSRZiv1l7kamMJNYb/zk4L5+/hYJqeA0ybxbG70xgAhKm4Yns0B7bcj1ZX48d2oJCruM8Mu5JcwiTPkiS5hIrcE8dMtGr44nlJxy5Y9EmVOJPk0ztN9xDnMDfxj1wbBNJuEnOJ99OwvEdJA7KwS4kgtAVlTOvj3FfXU18sjZ9gPTjKyhc2uqIUz4JubZuybKShxDhxSzHJ+pxDyS/aoQ6rXHNronD+SwtMEBdAPHTSiTZ21mi4SUO2MfOzegXEueGVmZDCK6jxwjkNcdKkcfdvhCtnW5bSBh/MkllkY77tovk1eutxTFPJZnE285a8tstVahwRX+CY4v2w7FN+AnSyq7f41p4luKauXkivbs6EFy0MyS4Bmrs5cuULwMY+D0RCdNa/0opNVxM6dOjRGSkiLwt/3FG3i4iiWZn5HdF5GWt9Q5zLqxrtNY3DNRnBrGxRs9EQmPJJYc5oIKRshLrdlilXggh7cY8NxrqGl/aDXWMMdQfRYJ/nWT9vjcWT3dvFqC/x3WeKLx7exgqCxZXdxxLyANjoS7n13jEjxpthDoW2eUcisKm8QQygsYanKu2dmTeOxQyGzYHu5tQCN280gh11iZ6TUKX/cn1YH0ZfhcTrPEjcGy5xGnZQBTggnb81nnLSAg2CX/vqiKJSMNRKDEl7jCxfCWHYL++McQpNgMtfR0EqduFWP+MxN+sjDhIXfdDVGo2/BmF1YRgtA5Y49KcLkHFNm0kWodcw/AbGrJJShqCgJs01wh1R7Zhv4GuSAMxE1Hg5h7Eg8wpB6Q9A8m1NyEA6dHTH/fjj4vwCntVB9KPF/HnaHQgEX8kx19ysm052jLJtc8Gd9ynN3diHz1WiVdTf4584ewfcL3Dh+O8u8agwt5ZjHNXfhZp4FQHOQj3IP/1c0EaGF/y6ZA67Eb5jx4yk05xXeaVDRhopei4iMirYkJH7jTX7zA/96iYHI+7ReRHWuuN5vpoEXlTTAprtYjcqbUuHqjPs8mLYYAhs8j98k7caMNGE58AI7b1mGB5wm05jAy+vgxN7L/vREbzRAwylexsZHAsqefp07i5vZ1wY8QRh9WGQtyQFTUoNBmEPUMmdXUjua7IiY/hYjCHw7j7UNC37cqHuuNH8X2RBMztlU5kInc7k2ztxAHWzYqxRpGUGucdUQDHEnDALo2C7zCx/v3wbqS79BdwjhNIBvb8MvyGpDikM99ZBqjrrcG5623Gfhl2lJMTSqBzBPAsyBXpoqgT98sckpvq5XS8ohjVjuObsRwteJ3FuB4eK8ZD3d8etxSui52M8EzEVNwXTKnxTURljeEyNbQi/VhH+4mIJPrjd7HCoiqT7sC64ndx7zmSdWS+Lc7RJGUBSTMReBVaE997B+fg5nuQ5hu34BWPRyLybqdY5IU9JagksSvc/B7LsTQT3I65fsh/PQNRgUkneEOjAkmqHkeSfiYClbCThL8lkuCaqKPb7YrOZSxXPDJyZixadEpacVONIykVmMXAJxA37isllqbdbwfguxjo3zUz0QKzeQ+aia/5FgqbzwnK7hJycm84QULJydUVA4ELmUiwR2Lw2iL9ZaS7MB8cMyuhk0imcoJWWroLhX9+CzLW6VOREZ48gEyv1jozp3BcI5KUWnysUjmEEgseO5GzaJ22ZvyuQ+14MmbRFsfXobKWMgaf6ybx0F3tWMcsFdPmIS1n7UJlpUKj0Jx/NY6l5gjOgZs3KuO+c3AO9r2KazZ1IQqvtiJUJt4qRMvm3cSHpurk4Aqb/ygcb85uHG/CaNyPLdX4DS4eON6PSN6xhSRZp7sXjqWyHHlD8l245xu2kfx7BLwxZjK5/i7EdcwrRt7ADlo7nZD/3h6HvmVVhTiWyEmoiB3ehft76rfQolq9nVwPEdqrLbdUxJhLgJcHvsvLgHUOTshXWfJcJxL99VwpyoyfxiJ/+ywPr9buLl0zpMpAhP+oIVMESutO2xUd65IethIG6OaMJz53ciXzt3YUJIHk7nx8uyWRxvsiY2DTFD6PhKRuQkZ7shs3/LxQPN26+eJ3EcOCtFTixrXV4dl7Ep7GXv0Y52n1WGRcRw7j9cYokpCuogy/t6EL54WFQ1ubnUVEPnND4XKvNwohJ1dcj1fJFaG3VR+r4/FbvVfhVWXTh5lQdzoL3z+JIENnrsWTZ30vKkkjgtBaFziRZDzOwzoWcVRdjevNmHxJI67ZWHKd4zEahXBHHirF3S24jixNgDNJTpp9EBU2d2fc38Fh2O/eEqRRawThbhuveYu7UKAvegoVrpJnMqCO4dmwa6rIZCPUucYTK8XnuAe8PHEdGU5WXCTSVMAiVHY7snAvM2DBpZFEWJfgAa8OWa3cGY0+RO6xJC1NMfIG67BxEZF4d6SBuHusvq0DD3zHXsT3dxDrbAQ58LEEs43lyKgZnthuAsqY6maEulEFn9kVnctYvjAyslLqPRG5GMtoEBGj1jrV/Gx/yMhpIvK6iLiLyAYReVAPomnFktwtZ3PwzjVyDConq4hJOccJP9lasQlJQ7NuVw1q7M2ZuDGyu3BsQQQQyolEOm0hoelLidWo6BiePlMm48m4C+WtlG9GgbHUh5yqq5D5MIfVc4V4CkxKxJNrHYkkcXHEeXFzQeYQ0YVMZG0DXoV973ZkaPftJaf+IkthzU5Uw3+LTsZujigcIkjOrdoD+A1nHNHXIZg4J2xtQCF/ixMKoMw8pDMvB1zbkbNw/zgG4HyWEHxyTcxhZz4keDsOSI/J38HvPf8GCo26HHwu7fvYR/3n+B0eYUg/07rQymF93cSuy5a5o+I8JRh5ysFHcG1DvHCvjB2F9FOQjXtlD8nyPqYEx3KuExXM6ZE4n2OJD0wWyQMYGIS03FBghLplxIGaOUGPLcKrv9Bg3Btu4UhT+zchzbN8Z2OCka+UV6Ni13POUhF7jfhv3kKipHIycRzsAKAL8RuiVuFBbv2bSNuJBGIheilU2ctlLpeS6+pBEckWc4yx1vqmi39QSj0nIg3m/48UkZtFJEXMyMhKqeFa6x4R+buY8HHSxaToLBaRjQN1ejgHNeDTruSocASJtNQBiY9dZbS2WW5cBw8UGK+dxc1ynSsy31GuuLlDh2NdRR4yrmyi/Hjvxu/3ExzfByT3UwOZpvuuRmaR8QmOpamahLW74AuvjUDBsvk8Mu/lCwhj2WmAuqoWPM2uiMG2ZSXYtuhtPOG6kOifxjbLunHOKDCi04xQl3MMaYxdhZ7PRyHSiLJB8G0iMwj8QdbnaJVhOeCY02X1GyisA8dgz5PmoFXr8C60Vk2Yhlaet44i7Xm9jXsjYjIeIGp2oDCo/IBlfyepIk7jQaagES0pYxwtFcXYThSiW3pRCUnLw/Ey1GsPb1Sw2xvI/iF5smqdSZ45kmB18V1IZ0dfxfX2L8XnRl+L/KdmDfoG1dSgUG8k2FRpJJ8fK0GrY6GuZeNZqGNCqJPkvjlQi4ebRaORbtdttKTHU8TZN4yAel41F/lM3h4D1LF0JK1H8Uruuu8g737/n8jf9n6CdQ//Gaq+0nKl3+x82fJlkJEv/k2JyI0iMs9cRZGRlVKFYkofcdDc7g0RWS6DKDreJIFcMklWE0kyRhdXoXKy0ICbNOROS0DCPU+j4EsjykXQKDRh5h5H5qNzyb35ItwsD55D68M+ki06lpii60rwW1OJk217PjLvEROx7tRhothF4vhYZu1rovE5BzcktSMEaOLb81GQNubgejuQJJleJGni29XIbCZqy7VsInf48f7IuJgzKYsYGXMr0uyR9/G5BA8UQDE3oWJ2gPi2xAWgoNr3FAqHuABUTo2f4SndZyz2y8Jt3a5GZ9/ZJ85BXUED0rxvCdLZxAdQ+L/5Io6loAkVnW/14ul48ngUVq6Jlor85ANobQm8KRrqMv5ArBShJCKqDPf85CV4oFg8A9e7LRPrdmehEC54B3lNpQPOsWcX0l7FPuRdkb+dBXWOzyGUfGMBKsXdRuLcTLLGd53CudpG0MWXLMb1yNiMyt4wB6Qf9r4kZTmWZUvJVe1GfFd9FvIBlqmcXRtn5CKf8TxDrsdI8tzbiNXMXi5v+TLIyBfLTBGp1FpfjEemyMgi0mX+v3U9lL7IyL+LSZJbgy3vfw8WI1EVlOPGWESyPp/PwNN2y18sNxqBMqFWGUcfFCxJE5DBGc/jVcHpdXhKDxuGDCTSkeSVIc6K/kQRcyZXQwzkMKsd6xbNIQBYfiiAFnWiYvJBKS7r6gBci4k9KEg+245rO8EHTflrnHEsT8zF78h4HxnwCiuF6NM2PM3XkHHMIZalM/l4yvQpxLX49nRkZp8eQCYdXU+iqYhC6GFARdnXiHXeJCeYED+onPWocGQLWkw+exytLavjcW84lxLaK8b16f4EleLrR6CAqC7A/dJB0Ltr8smYzxgsfv/eTag4PvoC0uLjP8A+3/8brsVkL4Kym4V7OasQx+ZO8o6xKKHQRJxj7ypcW5ZWpaqe5Mt7FpUan1GoFDedx7qjx3FvDA8mV6QhaF2LINnG83fg+MbdiQeZ7a/h3C+ajPtq7yFL/lP7Ac4x89KafivWnV+DB56oNNzfSc24b9tbkc5WhuP+qSOZ1Ic6n3nv/+8WnQGQkS+Wb4kpiee/m5Bn9AD1WNkHGbnl0RvgmbR1SCzHawhcfTJutPXZuFkWWCEvp30Xh1r8LjLuyBScvl1vE6RcAn517bdRgbnxHdwYvyQIs3GJxBHXkyQO9UcmtWs7Xkcs/T5UyZqXUVmZqNDSVdFpgLrVBPo98zAqBOOXI/OOO4ff5rU8Bep+9nYO1J19FxXA35DEptYo2osVQU71xPX2nYoMqYvc13uTvD8s4/Fyokz2tpFki70kt9lsVNhD2vE7egggX6sRryPedMa6O3txvc91IX0fIznVQknIOcOHqcslTur+qOh4+uKc1l5A5Yw5Gq/0t7TidmThu+J68PpNuePYxjqgRTjqRlyf2s3Yx5SlBA+J8IbxkdhvzSfIG5ggDZuG/Z7dhM+NTCBD8ce1nXctCvDGDFyflgYc8yPvYb/PPoNZ2Huy8TrrjTW4tosCke/nHEZrWpKP0eL3kgbkC0kkpLsrD5VTLx/ct2c/Rz4QOxaV3WfP4AHqf4kVsphYP0dAjb18mfKFkZG11quVUk4islJE0vo83x8ycqn5/9b1A5Yjr2BdfBQKoTJy131hI55wx7ejQhATYXkaaSHOpCFj8P173kKlIdmPJIsj1yyb3sBN8BJBQXYPRItE1VlkSIdJSPN1JJ3AwocIAFZGEdQtRb5Po3rqq5DJryf5mta6GqFu9TpkUnNI/qecZ/DUHxKJc0qiy6WeAPoFBVme0oKScI5ZVunWU+S6TJFoC5LE9Ug5ntGuGo0m+4pDqHCEEauecQfSiiPxA/Ig6+hKrvhmHse1Le9FYRNFxtJDhPXJHhQuzfuJE+s1+B1/3IaWrqu7UUDEROJeW19BriqtjA3riSM7O+HXf4A4T4nX4v5p2IUKoU8sCs2PNuF3dRKaXf0dwt/K8dDGgCmLdqPQrCIBGE6huD6H3kDaiwtBi0Y6uQ5ePBX36O3puDeKnzwJdczP7aYxOH8d9bhK436aCHU5/2uZ24tlb/+0Er/h9nGoxGaV44FCkzN7SA0e2h5Lwv39txykgXuScO6GuuhveAqILwwYaP59sYj8Qms9u88zKdI/MvIREfmhiBwSkzPyX7TWGwbqs/aa2TBA5xDckBf2IhPNajRA3aLvkhxTVokufcbi+5lvSy/J9pueg2GWiZ7IzKNvRgHctBdPLK7EhtlLlLX0w9ivdVZ2EZECF9z0M4gQMfbgHPiQqJ5sEk002cUIdczJONQHmSjLWdbSgWt7VhHLHPENcvZEhrn5jKX0H+OC63OsCwXLaIXjDQhAJenjehLlEYVjc/HDsblfiz4wTe8ch7rK8yjQvEkSSpbAkvk3nSEou86ENSxfjM7nDJE5iwQHbHVDJSGW7KEbv4uC/n9ex8HcqZFuNbmWC4uzXN8XCsnVKom6YiB9USONUOccRlKoXMC94mTAvcfABitbsM5F4ZxcINdeI91Q4Oa3oVLT6IhjuW4W0mjlCVRWmHXNzUDgDhpJ2HgTzlVeNR7SGOhoaQse8KZfj3u3t8WSHi8cwHmKXIV868RrBIeL0FOZI75vagABIAwgSOUsAoH4+fl9tGtIQ7BDDMlDpulUGLOv3PDyfsrNYnltJVrrM0qp90UkS0zIyD8wR1yJiNwn/wkv3yiDOCKLcMyYn5xGpvwbF5JHh2BetLx7COp8pxssfq/chALjsSa0wIQSRvP9EFRWnN2RCex+BZlPvB9uvvDJyGjqdiIzSwrAO3IvgvTpSpzm4scgk/dcOQbqWtcRvJBTOMcx1yMz2/weKk5J5CTX1oBt93aj0jGCQL+fzkcFgznt7rCKwugg759ElJ+oWShYz2wxQN1cJzzhlxehwhHQikqSfIpKjbEc6d2JILEypcbLFeeplzDvqU7Ez6QN6Tv9M9wHipwGU+KR8Q93wecc3bGu6E0UaA944QHFyQX3lVc48oH2GkuBe00nHloEtx4tLFXGFDf0U1OEszqnRkHd9oP4Da4krcptd6NiEk9Qhn3nopX0vbfwfSNIzt7jO0iKCneS/4pEmVUXoHLGAPgYJlTFRlzb/FakZX9FotvycE/2WAWrsEi8nvdwj7oTy9dbTsh/b+vBtvlVqKwlOiJP9pyAe7l4LX4/vu2rLd/0qKsrHjDw9fDVMEBDDzL5CdFoJnQmiKXtRJB+UGN5BXWBANk96E+wYWpwc/v6ImN4g2RG/skKVFbq9+Gm7e7AU5Ef4VIOXrhJL+xDjnme4EIwVOmGKuT87CTXVIeM4Hwz9sFC029ZQhzzDuHabqhFBWb1YhSkvc0o5FgkRUmlweJ3D4L+ag0jL8IdtGtO4Rz7J6ICdzAdLW6egnQWRbBbckjahVGROHfMETVwOmHe61FZWTUSrzk7m0hepxJc23KSCsWRKD9TF5M8R5243iXpqOjEXo9j+dmHqIglEhDGBisL1uIu3KN1xILZRPI3ORN+WUSspDN70SIRmYjKJAOmPPMkWlYKe0lONSfso4SAHE4fh+/beRIPKBOHDZ4nTIQf3NoJfoJ3JPIpZnmeNgMVxbMktxezRMaOQWXCumw+hfe3S6biFbnrLPSMeeP3OMe3fZvkulqL/DwgGZ/rJG5aFwpQERtXPLS5rob5jhgyRaCygYTRfsXly1p0vvIylSDglpMoAmYSZQi9jiRVQpwVs13sgcR98gLe68cRVE6WimG54HONh/A039qISkNFAzKuj4nj3/duxD50LwrSsXHIzPbnI/OZk0oYQSwyW5823MzGTcjgZi7G8e38FE+fJc4oNPyQr0rhVpyDhJ8nQV1vJjo6jrvRUtCdeB+VuhLio9N0DsfGIOgZptHicFTEWVgyc6pvdcKxGGtwLdjVVVsuKs+pPfi9uaewXwboyMJtgx3J6TgY2/5jJ87LHKIQVBGAyPA8FIbXt6GP3Ig4VEYdHC33ZGcrKjBjCOZL3Xvoo3OiCJVukiVAasg3DCM+bioGvYJdndFnbpQzKknBI5CHRPcaoa6zAek2xQOf+5sR6TG8F+fq+lCc40/rcF5WOuOajU/EfdBeifTdQfr1diH4NQTvyzolx7QgPMiVHEOL+vn9SNtXkbxWBW+jUlzeijaY7YdwbKtvR34Z0Dy4svZVl95vuI/OZUdGNif7fElEJojp9vFBrfUuq3etE5E4rfWowfo9azRAna9CAX6yHjdpjCMygk7iA+JmBYayrwv7XJmCJ14jifrYQqwPCwx4kn2uHBWnR0cjY3Avw809LgWJ8vgaPAHFRKAQ8UpAplJfYhtcf9UePN11duCmDwlEwXdhN5LavFVGqOttQkbAHHSHpeFzTz6NTOneIKSVc59YCqFessdX+SNzXFOF1xYM0n6uN1r/Am9AvxC/AlxvVir24WLUESfr14lSfEcD7oGUlagQbf6IwDMsQwZcewDHcqIUlaSKMnxuNcELcSJXVy4Ed6rmLEGZJZEzpwpwX/VY+aoNNxjhGeOHiAXU0YJ010scUZf4EoBDkh28m0TA7b0rHeo8yZV4dTuOJXIkKlP1xEndbx5aDDavQfr5FcnJ155pxLaZqLBOIYi/nW245w+VIp+ePw0tTkGVSLfHWpDHzSFKts9ySwdlj1zMG92zl+QQ7MT1CUjB50p2IX3O+DHS5xt/I2j9J5FHtTUTPBN7uazlsiMji8h3zX8frZQKFpGNSqmJWpu0CaXUShFBCdxPcSSm4jqF1ptZI5GJ1pchATHFaWKSpcBxzUVlhWUWHz8HGdzEA7jxfCNRsNyZgxv5/AkUNqc1Wq+WxeK3jl1kG45FewZutBHdOL6dx9G0HSb4nL83XgOwrOm7XZARfDefoPESjI7JE1AhcJmCIecPC4acf7QbrVWRVqBqbsTR080HLTVX1SDZXjiPc3xM4/dP+LsR6gwkz1PQQlzvinrcpuy67cfk6iGrEAV/WD7OZz1Jb9FTj+sdfCtaPqZsQMvH2nMoDN0iST62aSOhLmBNFtTVlqMSFxCHtDda4Z60zi/U1ob8w0uTawZybVxOLI5Sg1eBC1bh2nZm4rx3F+Lrxj8RA3W5v0HL5Po3kc5SiK+iOxGuYd3kim8/8q7j53H/TA1COgteimNxnL4I6px+NWDsyb9LaSO+byaxirKS/rRVSh9yrc9KAlHWXCYgvcflo8Wt/QDOyZ/IMb65HGkvfMV/X9G50l1YvmyxyUfHjIz8LzEjI1+MujL/TYlIsYjM01rnKaVeEJGDWus15r9vF1Nk1mGllJeIbBITGOD7tlh09ocgx0gg+Vxys5Gh1wgSVTOJNhhn5XgadwuelJoJIe/IRWVgcgCOzTcKmej6k8SMT0yswXcg7kTTJ7lQZ6xARSIoiURTFeBpcV8dzt00ckplIHX5Bcjkfd1IFmBypec3DMfnMxkF2tsfojLBrCYskaIHUWKGj7b8trKz2I7hsWQSpXMkifxxdEDLl6szjuMwiey6nmTkrj2DQsk3HJWQrZlIj60k9HuSM54080hkTrYrtr3VD/dBYbkB6kZPwuc6anFOWVRcaS6+z5MksOwhiWxrmlBoGKxwjVgGbU3Mej2NWOdAkuy6jkNlQAhCMYuqLC9EGmggVlJ/d1xvBqfQ00vyMKUSnCiCinr4I7RUTHsS+dTu/8GD1vQVRqjrbUGlK2MrHua8icN8wi3Iu0//izi9X4f7L+9zSx73sSPylIeno9KUtYOgMQcgrRRV45olRqEyaZiMvLYtGw+47ECelLNxSP1YAn2GD5mmU9N49or10fmj2I6MfEpEliml3hUTnk6a+d/DIvJbEXlOhKjOfUpfZOSHvNNkqbulsD9BAMrGkUzLxbm4SX2II3NZq+VG2PYmTotPL75rxUS0SLBkmDX5SMhjHPD05BmEG/7o70jOoCDiZFyPmy80BL+1OB2ZWYTYFplzgJzuvDQK8KJOlAYLk3GuWmtJ8kbikB1NHCz9IvA0H7YUlb2nPsC6FH9LAZnei3PC4C2XhqNvwm6Stfkakoj1g714dVVLcpGl70LL4UjieLyJXB9M9cfnmFWC+XY0HcW1mD0GlcmdR1GZmj+DpPzwQUHlPgujjvb/HscyaTH225qPtNxLEte5kAz23VYKUcZuvD5h15cTbsN94TgiHuqe/y0eUH64GP09jueiT1GhC/Kam2wE3JxwB/nWYvTluXAYFfTWY7g+DQpppfjZM1A3ljjbb/8EeXKtEyqi189FWtm/A+el6w3sw88H62rTcQ4KrfhFMjm0NGRjXScBZ21pxn3RJjhPjBbLtyPNupCQuhwjKljobfjVFjsy8qUjI78qIsli8ucpEpEDItKtlEoVkQSt9UNKqZiB+uyLjPx6+GptfcM6PwyVmg1nkfEvjCaQ/eQOv8tKqi33Q8ZVWY063lridDqW3Mr5GVAot3fj1H+Whe+76VEUwjsfx7bT5+EJpbsKN1qoH25mFk219gIxWTvityXMQ4ZefhgVHY9xBqg79xZ+B8NBSYlCAc5O/ZUZeIL6Cbn/d4qxtEItzELrg7VwFBHpbMXxTib+VyzTfVI3zrFjNzKXGoWMsLYKBdUU0q+jE/ZrIFa4A0dwbScl4175gFgdFw/DvbE+HZWf2B6SSPEIrkWNIyod2zejsjdvNu75pw+hgHw4BfsoO2O5h6wBQkVE2ohA6yrCfXvuA/TlefAGpNnaHSiAPQTrWkkc+oXTBCk3Cde79Si5HmtGIRzzMFqFC549D3UdxBrk7oX0czwP5/28K+4X4h4nLlNQhI85lwd1nmHYuKEQ1+hVI/Lz2Vb5ET92RlpcGIDWph7iV9ZDlJ/kYLTedLXjvB9uQNoO7sHvIizPXi5zuezIyFrrbhF56OLvSqkDIpInIrNFJM2c3NNJRIKVUru01nMG6tyPWGC847DuKodBQZZFROQddyTw34+2PEFa426I8ASUd9+Pp6Ke87ipag4SAeSBzyW3IeNq34Gnu5EEMNExAC0XL69Hv4ubAlAheoWgyY7rwjFvdUWB67CHZIJ2QKXwvkoUVI4KrVDDZyATyd6H12MjJuGp3ykDx1xNUn64FVkqZ60tqJhltuPYphDfhOxqHFtPHYkiIfcMw3pRiES7oTJp8EOB6+6HbQ9nowIT4oh0Nn0y7hV2rTSyiziGV+HaLibWOo/xSHsZa0iKAYIK296IbOm9/WgRm02uh1iS1co2SxpoKEWFmIHvTS9GmmX4Rca9aIX0CkelJoZEREURS4BPBM57ex3ypIoCVIgSpuM11XPEKnxVF/IQV2LWOlFKlE7itDzbFXnhwddJEtwq3N8XynCvNRZjW5a2IY2Ap+50t5yrOwlskls88suuDFyLuPlocTyzCcfr54WdTCMggs1NSGcBoQRPa4jLN91HZ1BFR2v9CxH5hYgFMvJq858XiEiO1vrfl7ZKKQ8x+f60KKWuEpFurXWWmAAE/25+JkZEPhtMyRERiXRGIig+RHA2lmPbY++gALuBmB2tk25ubsAoknAi+NOfx7E5Kxxbi8ZpHhGKG97bH4WS+61XQZ1bKQqWk08Tcz8BaPOOREXvjl7ckE0NOHcjXEmOGxKZEt1F0jN44BwEBxHgrYMGqFvvisyhMZ0At81Da8PhHcioI7os+429G4Vy0FaM1HCLRtqJ3IU0ELcYBdXuT7EPZ4ILEhCM78svxrbjJ6MlLeQs0o+rM66Zoz8Kkf0kW/3V96CwLv8Q+11LrohXuRHlxwUFxMY8AjhJrF83zUOF6F9E+akhmCkeynLvpk1GZT+6DOnTKw7Xx5NEMrKy4SCOI1ajMNxAaDvoDCqdt5MUCw2FJCEoyb22ygWvs/zjkM5eOY987/mrcL03vYfPLSDXl4GuuN7b/onX0KODUDmrqcIDBLOoTkpAZTSkwPIqaNQ92O6jV9HaMjcK31W2h/DBKchr8w7heNsIMvSo8SRg4ARapWi2a3v5wuWyIyOLSLCIbFZK9YpImYjc9mU6GPEgbqrKN9HrvXYXtm0l2ZcZCFjQdMvfrz1uW9hvTSUqNcxp0pNcH/itxmiTjCfIVdsPTkPdhPE4PgeFG+0+Es7bS5JZOxG/BuZQy/yA0sbgWHqyyF33GZyDd424nXHLi/zyXlyzbX8ipudmkv3dBxl1W7uloH/zRWz37Ycwh07xi8jMczvRwvHhZqSLW0gakPJmfM6HZPOL6TJC3eZ1OFPzp+B6N5fgFj+8AZl8BMlhJURBd/fFeZ/djRYDYxG5vvRAGkgjiUhLunHfdlTgGi0PJNe1nUgrmVZRUQ5eBIRzBlr+cj7A76/tRuWCHVqIoUZSFuG3hp0gmeTLcS83FeCeGpWMiv0ThaiwziHXKsOIpfMPy1GJ66pEfjbGF9fbaRi+r7kTFWp2cLXGORIRifYkoe7t+L6w1bhhPJ4usPj90Mu4jqNd8f1lxLIUEozPHT6AhyyWsiLEQBIKt+B6j56O15L2cnnLFY+MfDRiOQwwOASJz8mF5A0KJZYFAr5mfQpiG48BEnqHkOgiEpVx6DBujOQQZI5+I/H03VGOY2kzEnBEcqXgQUJNGaicTxQKoG3E6bSLXL8wX5GMOmTUDSTaLbQbv5fl08pwQjNzAQGzW9SGNDA8Ck9f1qbyyBg88R4rQD+EUcPwXYYEHG/pcVyLiPEEMHE/XjWVkfDlseQKKcwfFbiwB5Dp7/w/PEGOi0cF4eUyHAtDEGaZ1MeFYR8MOLO1EZWEPALPPzIQBWlhtQHqGI7OUXLVEuZgSfPZJE/akkQCT3EBnzvVhI6jHuS+bFw0KiG+afj9Rz5CWvEm0AGR8UijPtdg6PPfX8C28xXSSmgs1rnFEp85glxdl4HPNTTgHg2Jwj5ajWgBtlZERURSSSodFw/kF94TUCnO+tCyj+FTkZ56mpE+z59Gy6mXB+49VnyDcK/UluNBJmwkzokmvkyBm3cPqeeOr1f8kCkCDc35Q+6VdMUrOpVzMannLpIBlmUfjlJIfN7uSLgHOyyZ18JQtFIcKUEG6krmzuiIpycGN16dhQLDJwiVECdP7KM8B+/mj3USawvJ11Tciptv1gpkop1lJEs1iZVjkVPMQsSc9fIqkMG5EIfNlDEoSFuqSdLRWFTYmopQKfQbZ7nP6o7BI7SwVBQznXCOA8PxdHcqD9smkDxczS0kkSQJDz6RjopY2gIUDq/sRQXmpmEEmDKQKNlGXDMXL1yfP+ahZW5eGz53zA3XYhlJpllpRBpl+bTGLkPlkV0Rjo2wpJ91JHM1S2AaS3yAQj3QIvF5L+69O+Pw6q4wl0AxeOGeD4gmVg9ygCrLRD4QPto2QfrmGbxau9YL6Sd0BeE1/8T3xUaiMlFZTpKJEt+gkUkkISYBQ/x0HVoimR9Mi1UyVicnpEXmJlBUhLSz1xXHsYLQLEPrjwk1Qp3faFQcs7cTf8ALH9sVnctYvgwycqqIvCgmB+VuEfm+GSvHWUReEZHx5ve/obV+yvyOb4nI/4iIFpELIrJaa43Hsj6li8C1LySRNC8RC0R4J85nyBgUQtc2WtZlnkYhMms89ll1Fol7Vyee+NrKcRyldchAYkmSwvI8fC6aWCC6SnCzeJFwzOBOXPJ1hIEw8CyDDyo/nR34PqZMsUiFQ264thEkGi01ENXYskz83rYWHPOeNmReSZ9ZKrvMVyaLJPNLIIJPEQnpQHICTLsOBYFux/VWJ6BKCo8boM7flWQqJ9FuCx1QSfIZhfRYshuFko8/rvfJDNwb9yei4nQ6D6/WbiTRjG0tqPzEx5KEQKSUbkMrQg05aHhYhf9El5JM2wQKPIWkS8kkUZvTFB6eLuQbcByuaG0JScM5bjqHe4DR1DGCwxQ/GesO/AX7rXInTtWNOJ9tb5OgCaJMsWivoGDktZ5NJLw6F90T2nPxfeO9kO8FzceDQcPHlmvpG4B84acVyFfvJeFPCZ0EuduAfCA+Cvf3X6uRVv7HCZXJKyHo6ko3eHzZ8oWRkUXkGRH5tdZ6ozki6xkRmSMiN4iIqxkZ2UNEspRS74hIqYj8SURGaq1rlFLPiMj9IvLYQJ3WVKDQPEec8GYq3JDOJELCORIZeushy40w5V4kvTZMei7v9hig7sfEKS9jJyoSyYlI8CyR5jkHrAttRUYzjoS1txAP//YeZCALSNRML0kQ6UAS/G0ljqjeCp87RnI4XUOSErq5EWWC4HFsdsNv+2EMzumwTAPUWcP4e7sh7SzwRQXhQiUKkbj70TrQdaIA6nauRxpwJ1ceo0mCVWcyJ8wxM3g6MqtT6/H6pb0Q6cdvGIlYu0DwVwjWSmUJ7qkewr4zK3AOZs7H7z2wDQXE1Bl43dbTheu2MgWVroYzlnPVSpSapfdBlRg3Yh3zxwmYgcpa1sdEUb4OFY7GY8RHpxjniSVJTSV+Jtv+ilc5Y0NRCE8ah+9rySXh7+SqyTUK6z7fRKydfrgft3TgwYMY+iSuC+cqq9UAdZ1rcQ6sARf3EQvedzvR+utM+NaMROTnJfl4mA2PNkLd7Y64zxQB8GzsIRNgL5e12KTomJGRrxEzMrK5Wst/lB5fMVloLtZ7mkPP3UWkU0QaxaS4KvPfas1tEZTCqsSvwA2Z+yFugjqSRM+JCJKt76Mmn+5myagf3o9OwR6TkPn8oIOBX+GmYonsNhSiuf+qEGTSq+4m/jhrcLPk9qJQmuaNQmQPyePlRU6fB0kag3nuyDBXfA/Xp2SNEeqCEtEcv+kEKknzw/Gab+0OtNZ9myA393bhvMyZi3Nam2nJCDtITh6WtZn5PFWvQTwSAyaklsnDkabqy1EJyc5DhTDMFxXCnEYD1DVuQAG+6jHiL7UGhXVTLRHMBB8mKg9p/swhHPNoYg3xjEJa2b8NLUThbkgrLin4XOMJnBfnfGxbaJVfad5opLEuEum0pwiv/eYNx+9vJY72ydcQ5bQILT8eETjH75WjwvH8IhTo5btxzPU9uG+Zv9SFfaisHCe5pIhRXM4SILwHYnFeWG4vHzTKyFRP5CtszCxAwj8JlV2vXEtajnXD+Qy8GpWVzhy8XGCI2Z4k/+C5ApQPLg4kGzHxQWRK7FCXbzpgoK0pID4UkafEhIz8sPnqKllENotJeXEQkWla6yLz1dWbIjJfRDxE5CEzAKAopVaJCVCwRUzYOnO1JtC6fUph6lUwQBaV4CK4CSY/gMxbeaFweeP3lgxzFgnHDIwhGc1Po1Lj44ib4KAT9llONkEcsbakkFNrVJgR6s6QTNgswmykG54y4u5GS0XHEbTyMIFWLcgw41xxrho70AJT4Ih1ySSlQi5xHvUl+EqdxFm60RHrlo+z/LbKLFQS93cgI5xN0k40N+M3NHbinIT5o6D6uBXX7BjJdP+UJ9IAc5ivrsXvYD4gTEnyJtuQRfVUFqIgdSPYVK7uKOiD/28h1BU+vAvqho1EZaXlAiqjzPIxKhEVrKPnLJWkI24ogB+5Hy2n//wTzl18J35XUhDyi9DbUEna9AdUdLzIYWzKcqINkHL8Ezy0Mb+Qd+vR2sJ8iHqIYuIagOPbcgwPHlUkyCOhA2nKzwH546ilSPO1h4lSXE0wfWJQwaoosZyX6DFGeKaYWHqjx+FzWw/jtyYSS/Qnjrj3frocea2DN9JZZw7SrN8Hu4b0RsvLI3bINJ3m1vNXnjOyGRl5idb6+31wdJYqpf4sIru11h8ppW4UkXu01guUUtNF5PsicoeI+InIXhG5WkRK5D95rgpE5C8iUqG1fpz0+e8UEH9IG552R7wl07hwlJjjie9J1Egj1O07hZaUequIIC+ixRc549qs9EUCza9CAelMlLBqBxSGMQ4o5It6SdgmMX/O8sexnKxGQcAQZksIRPwBcv9PYHkkohuFXLkTWqHGOOGmT/weztXbLyBzjO9C5sgiU1J+gt/b+AmirvZ2W85fSSGOo0CQIU0LQcHv5oOCzwX1QSk5ggpCwg/wwZ7zxAJ1APs4U47fOn0Bjq/iCCr7wSmoSLRXopBjkWcnCALug7PQYtl0lkQ8koiBugq8amGO9SxcmzkQjyKpVWLGG/FBq3IhE9fnXCsqEtNHo2DtasEP62hBftTciGtR3orfn0yQwA3TkQ+ceR/32cir8fuzN+K3ORC/tI3kQPbQMrzCdbpmMdSdunMH1AUakM5CluAclH2G+zt0NvLMHZ/iAXdiLNJeV5vlAe9kBe4zFtVVXU1y2d2Lc3L6RQLgSay9vsTHzdUL93IGSQ2ysPLdIVUGPD1ihkzRaWklYE9fcbFF0XlKTFg43WJGRhaRj0XkWhExaK21ObFng9bax5zUM11r/aa5/atiUnDOi8jvtNbzzfWzROQRrfWSgfqvvgqjrhrKcLO4eiIBFZaQHCIpBErdKnKI5S1hSsNVq4xQ13AET4HN9TjeoCTbspenPD8e6vIfOYxtW5GZBTvgCTI6Ac3ELKt0WxHSxe9I6O5PAnE+WcqCemLRcSNWrTG34jp+/A5B4x2BJ9KcM+jbkXqNEerSP7NkmGEEA8OR+HeFz8GxPbLVAHXXteF8phPH69sNqJy+QsAq749A5Wd7ASrsLAKFhf2GJxqhLu8M9utCQvjDolDwPUYsrBMI3sx8H6SV+gYUJEaSWZsdFhyJsI6JRGuINZI6y3XF6GTjBqSnOQTJ+XAOWnatI71ERHpJWhF2ReM/A/lF/qfYtpekbPAnjrdBK/E78v6JClFFO64FAZqWLFdU4mIISGgcsXy8TRDmV7QTJYEgx8dcj4rdpjX4vsVWyM1n3sXxsrxWjHa8onAPOMeiIv7Ge8ijbkpFHsWgRmbdhgqR1+8/tSs6l7FcUni5lUUnW0Tu01rvUkrNF5FntNZpSqmfi8gIEblLTFdXR8QELFgjIsdEZIzWulop9VsR8dBa/2SgPtnVlSEZBQ7LL+QSRqIXfJHxd+RZbozmcmS0eeUE0p7Ans/VyEAY8/GfiGtdsQ83XyUJWxxzFW7IFpL00DMR39dehBt3A0GnnU9C7Fm25OxiFJAsBPd0B56OG4llavUPUCGo/Qh9KvZeQIbBIsXKCe5LuBU4XsIUnM/yk3jSDpuCDIlhijC8D02EEgMH7KzAtnmnSVTcSLxG25qNPk9JDihsvL0IxEITAakjFpg5JJzek7zPkIB1Lx3H8UWhjJP5CbjeBXk4Pga739KGe/eYWO6hiC7cA6lxaA1zD8bnGNjgyW04thME8fi7q9Cq2duEAv3UetwrwcQ6UmVEGmXP1ZDnfAjMhnVyYxGRKXNwXhj6ckERzgHzPfF2w37j78LvfeGf2Md9VyPNn9uA87zeCp1+fgf2yRSpgDCcO3boZf57LAt9TjfybhI8JwsXE8yl17YNqTLg7h49ZIpOW1vRlRteTsp3ReRPZqfjdjFfNYnICyLymoicFpP/zmta6wwREaXUr0Vkj1KqS0wJP+8YrJMjlXgaWZSGp6XOZoLdkocEWUtCvbW23GgnybXNipuMUOf3MU7fB07ILGaXo3KVVoiKRI0RBVoo8e3IIbgL6cTs/B1iKyvZjoJvBYkU27WboH86oSIR6ILCpqANTzeLJqPwMhYgk+o8jmbstVWoiK0Mx/lracD3aYLY39RtqaD+5ShaR75HhG0Xkp3kVCF9FpOM1AuJ9UZ3opR/+Sx+6/XeqIgZLyBNMQXBZyUmUezYnwt1JcQnIrIb90oPUdgYxIALySX07Qp0yD50Hs32ewkuz6RQFAZNRlRiW7vx8GGV+ogGB3Q04zc4NSD/WHscfW8mk+inSSQsWRPLRdE2pNmIYahMHiD+KcnO2O+wNAIu6Ud4XhuOJSgP3+ecjHygPROtwqnLCAI5SUmSno1rG3kK+c9tkTjmvWtxDsYn4VqeLbJc8Dkk7U9RCwH1jCRW9v0EdoHAdihiXWwg/oGhJJXQFhKxdgPU2MuXKVc8YGB62EoYYESkEZ4zVqOgf56c5h9xR8k3bILlpi87gO0YwJRHCMkj5EEiIXKQib5rROJm5t/F05EJtBTbllm7ogY3KTP3j7gKGWv2VlSmkgjC6Ll0vG4bsQzn6sTHeLpxd8T5G06yobeeR+bAcFrY9UZkEAFQs3rsNEFyDnXAb2A7pYuYwJlyykppLZ5kM11Q8EUS5lhNQu5vmIm0wkLzu6pw3ouzDFDn4oyHh+Md+NzCeIIqTCLKPu1Eq+gN3nidxRJzZtdh25QgjB47V4XPxVkBMzY14/4OizdCnUcyfsP5DbjPQhORxnadRoW1lPj5jSPWBpap3IE4JJ0ieF8z/j4W6jrXboe6rSTabc4YXMcePHdIczXO37DFWHf4TaTlYE88LO3vNECdD/GTXO+Mbe9uRwtelaPlGo1yxfVhh7EDbtjnw4kkAS7JYcX8z7xH4nMFBPvJhQAajsz/fEitHm5uJCTyKyrt7cVX9tXVf6M03b8EBthVhpo3S6rGEhq6kcSUx5otmeMYVxT88d/HK5pzLxCHtjZkjmXEOTegmzjdEuyW6kZ8XzGBSQ3qwe+aRJJcukzBE37+H1FAMrJg3xbghhYdNse15DuYD0jiHJwDlrbDKQIFmiYRMbXbSViuFVhYwliSMf0ErjeLdvtjHVrhnvwlnvp//jjO8f9E4fo0EiFiCMM5bm9AgfspwQu5fSH20VmK0osx76oyFAZhcbg+fynE7/0R8WUpzUHlmWUDP0QE33QPkl+JCIjiWuwjdYrlHJSeQgWTXctGzULBWneS5HEjeFUf9uA4RhGloYlc316/BK1/nxB/oXkRKITrKtGizJxiN1WhojO2F783eT6u92fbkc7mkuinhmoC6NiEfCB1Ffab/gFJjeFI0q1o7MPaN+hVR9xTtxFr6mHiPzSVmITdXJDPREzFb2DpM1hQgpc3KrtxmVvsis5lLFe8opMzHBWdkgYkFk0AyqauMEKdQzRaUhrWW2aq7u4k+A9JBAHXCxUY4zFi5SGnMY8I3ATnDqB1JEMh41o+Fp3c2mpQUDEfg9yjKJiTJuDdt3MwnpRacvHbmmqRyYdMw36f2I793uuNCga7/84vQ6UmMQrb+o5H4X/gE5zT4cGWQlMTRNTgGWQvkisp5iTa1IFzlzwOleIu4gTjjm4ssnE3KhIzI/HqjtFZ3jkSgj0ZBWllFtJZ1M1oheupMEJd7gZsy6x6H5GomZXEP+H4ZwaoY1GKnr1IZ3PfmgN1tY++b/H7iSLkAbkuuH8ILJPcSCxQR2txjscZkD69A0huPELvb+cjEUztRkE68hoUwu9sRIVocTBe73iFEvDCUpzjJxpQYXuKgJ3Wl6LCETQSaYChxB8uQMWpjSiAC1LQ4tRuJPm5rLaBqzfyrW0E6HRaELkebSCHSpLB3jMJx1FzmPjlhSENvJ+FY/l+CQFL+wqLq1vkkCkCHe0lV66iQ1JAjBVTCggvESkUkVu11o39pYAwoyR/ICLxItIjIuu11o8M1u+RcEQMTPkZMqrDTyJjaVCoiMwmAHLlRy03aeQq3LRla5HRMGfA+Dgcx04CDsiAuEYSDJmwcALhj4nPpSnHtnBelpzU0x83385zJH8RAUtj1wy2WiXcE3GeP1uHwjBOsG0zQRNNCMe5d/dDhl5TaCnAWRbxybdin91laB3K22eAOk83PLrXtuC3sgjAygK0NkROQwumYwCePjtybbsyY2vmnorK5EvvIX1PJwLXj6QGYeHBb2xAK9ksR6TvpnZUnlPm4tq+sh9p9LvzUajXW2UI9xqG69NJlE6v0Sj4j35C0LFD0YdqPcmLdl0Qju1pciW3sB2FZpK3EepCJ+C8t+EZSNyjiY8OsTY05mO/bc04B1EPxuFzGzKhrpdYsFhKG2YpHjse58rJH5XR98gh4LiTJT97eioe5DJ3Ip/JIWlfmLI7gqAqGxXO3dQEchhxxXlnfDpo69Am9bQrOhcfVOrHIjJBRHzMis4RMUVg7VZK3SUisVrr/1VK3SIi12mtb76YAkJMqSGqRGSy1nqnUspFRLaLyJNaawK0/p9Sey2Gl586jExkwlJkNk4jUFPO+TMyzB4rP4secsIPJwrHcZLok8H6p01Cgv+EoAL79OBaLLkfN3fztiKsI8oFy/icHI+n+aY64tTZigzuEEFLvnkWms9ZzqXIZaiYHH0T+xiViuNrvICCr5lcF7CEhgeOICO0zoeU0IMnz06N8z7lHlyfs/9CJdE/EBWT+lpk5oEheDIsL0VByvyAhqci83b0QLp9/Qj6isQRIbfgboI2vgWvi84SkD6WUiE1EtexrAy/rbYH13H2XShIPn8dacqZ8K5IRxT+fr6WyllRrQGeOUzyEMzqQLoI8sM129KMc7KaOPg3F+D6pBejNWPBPIKldArHt5FAESSRK5mJJNlrRxnSgJM3zicLh57zU5Lj71mcl9n3YB+5r+N+CY1mqRJwLBVFJD/gHNxr1UcslQ6Wwys4BA8FzPJTXoA020IstgwzKGweVEnVHpyTgBSkd8N7O4dUGXBxjRgyRaezo/TKVHTMKSD+JeYUEGZFp1FEfM04OpEisllrPdKcuPMWEVkhptQQB0Vkita6zuqdfxKR01rrfwzUd3YiXl2xUN1/9eAmGNNJkIadcVOtsboe+r+lqNT01CIDXbcHT5SuxIluUjCJuCHfEPqjMVB39NFCqBt/N4mGqSFRD7kEcn4UClxFmPyHBLtmrCMyh5MEcp5FcTmF43NCwvN1C465+TgyEa9RKCAzPkEGnHo/Qcd2tWRUzZvy4ZmXzqGCsJTc15/rwj6vIsofC8l19cGrl9oitKK0teM8BYfjWrgF4vvePkmyVAfYllyzjvhTuDqhMEiYjbR3fBsK/7GTsN+Th9FXJDrACHXldUg/o4mVpxXPANLVbskHgm5PgGf2PIl9ppKIHiZsfQ3IG9JJQsdzJKXRjSStCoti8/BEYRiyCq1B2a/gWKpIepzJE1CZyj2Oa+ZM0i4UEhDTDSTJ7K98kS4Mw1ER27cXlakKJ+Tdq59EWs5/DC1J4eMs96mjASe+pxHH0VqKCvuWYjwopTmjfHAmjvvBIwgkQA7ubwaJMKH0E7uicxmLreHlfxSRn4kpBcTFclpErhORT8UUDXeRCj8UkWUiUi7/SQFhreQYxAQ4+CfWWV9k5IX+E2SstyVj+tVKJKAHDhLHWy8kPgY2eIPVPe/eDwi0uheuDQOta6okEVthyKTcUgxQ15ODArdFo0BvO45MiiF7bTtLrEY5xAnaExlSBaGMq8JQuHaUogAqOIDzx0obsQuXKzxBTRiGys9zm9D35g4PHF/BP7FtUKTlc631OMffiURl5dw5NHf7ktQJHVUkTxbKc3E04CS71yKtbCMZ2Jf3krWoRUYd0o38y8kVxxxErnP+kYvr6E5SfqzYDVXSRkJ6q3ORyQ+PQstUxQXsN+1hA/axEy0VnxcjzadqS34RRA53E8bjnupuQfpkiMK1tfhd0RoF/zULcJ9lEdRiVliUUOaL+FyyAem9jgCWtlYRSAASHFDfRSAgSNj0s8m4jr/JRqK/7QBR2BxxrlL8CHr3p+ijU9NCggb8Lfs4sA73z6xfYt2Pn0MZMhdqRGLm43iZ/6KDG86Tpy+uD6uzl8tbvkwKiBEi8mcRCRCRdSLygNY6oL8UEFrrAvP7nERkvZgsQH8cbIANt82HATp4I7PN/xy19shRqHlX5uAJ3NpM2t6B78oklgsWVnssF08n51yR6Uez64PbcQNJDzKfTW/hN0ST9BG+xHcifDWeNJ9/mSDgEqCsEAK0FuyEY46INUJdexPJtn0dKistB5DZHDyDljNvjYxl4k04B+c+wbmPnWopcFpIEEBpkQHq4kl0lmsi0kXJ5wQojcATeMXgfFaewtMyy001LgythAFzsG1jOipEzUSx6yGoveyUGjgaBRWzVnmh0YRevzD8EXZt4eKBY3m/DE/bVzkZoc43wHIf+M1ExaRkPdLThUZc23BfnM+AaALSV4h9nG9EBc6ZgBawfF1lBJAuMsEIddXFyBsYynfwcHK9eh4VImpd8kYaYPkHvRXOKQPqY8pjRTPOX6A78rPINFwPBw/LPV9zAr+hm6FUk3GwK/zw4ShX2uqxj4ISVKZYLrKSClzbmRUfDqnVw9klfMgsOl2dZVekRWe6iFynlFoi5hQQSqk1WuvVIrJQREQpNVxM2c1FTNdWm7TWXSJSpZTaLybfngLz318WkTxblBwRkWwCjpeYhgInFP3jpLMBibmVKDEJ0y0Jd90+JNCrSHZeR1ekjbQkPBkWnMdrkJF+aLLOeAM3tws5PY0iAHKtbfhdPkHIVHb/GZnUHSS3zqFSPI2VOqPSMDkFvyP3FJ6yRhE055P/IPfVPjgHKf643lUEMbpqB5qjYybjddO7ByzXY5E/KlfMT2vrKVzHBd2o7Lq4osCoJzhPxSWocDiRqwLGFQKX4jVD9Tqcp8CrSUbqjWhZCFqFQpj5U/g1E4UtjiSDXDID6toOnoC6IwSXpw7JTCZVYr9XeRihroXgqoRHWdLAtreRdjyIb501/o4IR73eTTBzJkfgtdcoX9xnDP+KZbAfNwuVn+N70EewwBn5AMsV13IK58nHG+f4bAsRwiOQF7qRjOuJxNm+m6RH2UGCNRId8dDS1onf1pCPdYYUy7G4++D3v3gBleTvhaEVN3QRvv/2tTgnDxG/HWeiOPnE4li86gg8uL1c1vJlUkAEa62rlFIOIvK6iOzSWr/aXwoIrXWGUupxEUkWkRu0ZrEfWHYNuwEGyEDv9hDI9fldeAI4T5I1DuuxJLS/ueGGf5xgwziQkxLL3TN8OioDDE+hog2FfD3JQD6FoMQywffma8hEF5DwWGc3YrImzrP+QXgKLClFq0yHRmbGwv9ZlJRXOLk7J/do7v5kPXDI4hyJ82ytEPkno0DXBNnWdVI01JW/RUJSCSBdwnX4XfesR+b4HHF6952Pgk+3II06jh8NdcWPH4c6dy9ktj1duGYBE6BKyveT5LmPT4e6kv/dB3UNxCn0X844B99qJyjnRPEcNR6FPwvZ72y13EP/rEMFYbU70iKLFCzIJqkOCD9i+bpIcI0EuaNAP9/O4DOwjCIHgNCbkQ8ceQHXe/xSI9Tlb8UNxDJ6p6ej1Xr2fbg+z7+GX7zKBZVHd0/cGwXlyFecyDyXOCDfn2WFmp5RjFbsBD8j1DG/SS8/An5K4AnY9T+LtKxU5HBDZPDyireH1OrhNIQWne7/gkXnyyg6D4rID8x/+lhEfmF2TPYSUwqIkfKfFBDPmh2aS0QkR0QuSpa/aq1fGajPsqnzYIBHCWz8JBLK11BFwsQJBk+kv6Vw8Q1BBreR+LtMJiBmlY3EDyEe76/zC5BhBvkg0ytowJO2h5BEc4QJBJD3ZTYhAxnji9/hG4xzYJ31W0SkrREZelkNjjkxAefAIxGVuJzN2DbQHxWsjjbiY0CU0cYmYo7vsex3vQs+89PpeCLfsR3pbtGDeOI7/iccb3QEMnifRFSUnVPwdPvrV3C97w9EIX+oDMeX4IwWrbPEgXrBeLRMsWvewmbcP2nJJKT7AgpNvzCkR+9r0BTLgDijZ2Jbhph9Ig+F0DSrfE0sqeeoqSS/B0NoPkQyYf8Qv/XsSyQnmCcq1Nn1aHFrJ+iFqWSP1hPF0ZWAKDqzOhesa2nBvRw/B+nnjV2o6Iwg0V4TZpFr6D1Io65EjfMi4IAMQdjDA5W4oCRLWll3FHl3K9E6pzmgsnKBJDqNIkmADUFIn8xal0mSQ08ejpakkD277IrO5Sxa66/Fj4jcY2/71bb9uo3X3tZOF/a29rX9pre1/3z5H2ZNvVLLPYM/Ym/7Jdt+3cZrbzs0bb9u47W3vbL7tLe1lyEtXydFx17sxV7sxV7sxV7s5ZKKXdGxF3uxF3uxF3uxl29s+TopOi/b237lbb9u47W3HZq2X7fx2tte2X3a29rLkJYrPnu5vdiLvdiLvdiLvdjLFy1fJ4uOvdiLvdiLvdiLvdjLJRW7omMv9mIv9mIv9mIv39jytVB0lFKLlVK5SqlzSqlHLqGdm1LqsFLqlFLqjFLq15fYr0Ep9aFSKkcpla2UmmpjuweVUqfNff5okGdfVUpVKaVO96l71txnhlJqrTkJqq1tH1NKlSmlTpp/llxC21SlVLq53VGl1KR+2kYqpXaa5+SMGTxSlFI3mH/vVUoRXN3+2/b5+8NKKa2UCrSlnVLqvT7fWqiUOkn6pHSglPJXSm1VSuWZ/wU0xQHa/ta8PieVUluUUoApPxD9KaV+aKbpM0qpZy6h37FKqYNKqUyl1HqlVL8ZVJVSjkqpE0qpz8y/20pX1u1soql+2tpEU+ZnC83fdVIpddRcZwtNQbs+f6P0NEifg9KU+TngD7bQ1ABtB6Wp/tqa6wekqQH6HZSmlFJJfebkpFKqUSn1I1toaoC2A9LVAO1s5VMPmefitFLqHWXaU4PSU39t+/xtMJpi/dpEU/byFZX/NpDPYD8i4igi+SISJyIuInJKREba2FaJiJf5/84ickhEplxC3/8Ske+Y/+8iIgYb2owSU2Z3DzHlEtsmIokDPD9LRMaLyOk+dQtFxMn8/6dF5OlLaPuYmNCrBxsna7tFTAlYRUSWiCmtB2sbKiLjzf/3FpGzYkLCThaRJBHZJSITLqWt+fdIEdksIkUiEmhruz7PPCciv7KVDkTkGRF5xFz/CJvnAdr69HnmARF58RLazjXThav5b8GX0PaIiMw2198lIr8dYI1/LCJvi8hnl0hX1u1soql+2tpEU+a/F5J1t4WmoN1g9DRY28Foyvw34A+20NQAbQelqQHaDkpTA7S1mabMzziKSIWIRNtKU/20vRS66ttuUJoSkXAROS8i7ubf3xdTomlb6Im2tYWmBmprC03Zf76an6+DRWeSiJzTWhdorTtF5F0RWWZLQ20qF/G6nc0/Nnlfm081s0Tkn+Z3dWqtjTY0TRaRdK11q9a6W0R2i8iKAca4R0TqrOq2mNuKiKSLCGYN7KetraWftlpELp7mfEUEsclNbcu11sfN/28SkWwRCddaZ2utcwfpl7Y1//kPIvIzIWs0SDtRSikRuVFE3iFt+6ODZWJi/GL+d7mtbbXWffHiPfsZc3/93iciv9Nad5ifg/wDA7RNEpE95vqtInK9dVsREWVKuXKNiPw7xYotdMXa2Vr6aWsTTfVXbKGpAUq/9GRLGYimBuAPg9JUf21toakB+h2UpgZoaxNN9SnzRSRfa11kK69ibQd5bqB2ttKUk4i4K6WcxHTwvHAJ9ARtzfW20FR/bQekKXv56srXQdEJF1OOrIulVPoIuMGKMpnST4pIlYhs1VofsrFpnIhUi8hrymSKf0UphYmssJwWkVlKqQCllIeYThyYbMX2cpeIbLzENvebTcmv9mc676f8SESeVUqViMjvReQXgzVQSsWIyDgxWRwuqfRtq5S6TkTKtNanvmCfM0WkUmud108bRgfDtNblIiZFSkQw+1//bUUp9YR5rm4VkV9dQtvhIjJTKXVIKbVbKTXxEtqeFpHrzI/cIP3T1h/FxJD7S57bH131184WmmJtfyS205QWkS1KqWNKqUtBkoV2l0BPA/U5EE31xx9soal+eYsNNNVfW1toqr+2ttLUxXKzcEFtC6+ybmsrr+rb7kcyCE1prcvMfysWkXIRadBabxlkbAO2tYWmbOh3QD5lL19N+TooOiwBmM0nNK11j9Y6VUwnjUlKqVE2NnUS09XO37XW40SkRUym6MH6yxaTCXeriGwS01UbZpu0oSilHjW3fesSmv1dROJFJFVMG+25S2h7n4g8pLWOFJGHxHzyG2B8XiLykYj8yOo0Omjp21ZM3/io9KMs2Njnt2SAU9KXoIN+22qtHzXP1Vsicv8ltHUSET8xXUX9VETeN5/0bGl7l4j8QCl1TExXeJDVUCm1VESqtNbH2Jj6o6sB2g1KUwO0vRSamq61Hi8iV5u/cdYAzw7WziZ6GqTPgWjqC/GHwdraQFP9tbWFpvprOyhNXSxKKRcxKUUfWNUPyqtIW5t4FWk3KE2ZlaZlIhIrImEi4qmUWt3f2Gxo+22xgaZs6HdAPmUvX1HR/+W7s8F+RGSqiGzu8/svxJQp/Yu86//E9jvhEBEp7PP7TBH5/Av0+aSIfH+QZ2Kkj6+Mue52ETkoIh6X2taWv7G/i0iD/AdbSYlI4wBtncV0V/1j8rdd0s/9N2srIqPFZLUoNP90i+lEFGJLn2Ji4JUiEnEpdCAiuSISaq4LFZHcL0JDYvIb6HeeSb+bRGROn/p8EQn6Av0OF5HD5NmnxGT5LBSTX0OriKwZjK4GajcYTfXX9lJoyup9j/X93sFoyqrd/9pCTwP1ORhNST/8wRaa6q+tLTQ1QL+D0pSN/VKa6vP3ZSKyxarOVl4FbQejK9bOFpoSk2Xqn31+/7aI/M0Weuqn7U5baGqgfgejKfvPV/fzdbDoHBGRRKVUrFmzv1lE1tnSUCkVpMxRAEopdxFZICI5trTVWleISIlSKslcNV9EsmzsN9j8b5SIrJRL1OCVUotF5Ocicp3WuvUS24b2+XWFmMzStpYLIjLb/P95ItLfNZAS0ykqW2v9/CWOD9pqrTO11sFa6xitdYyYBOZ48xrY0ucCEcnRWpf202d/dLBOTExazP9+amtbpVRin8euE0JXA/T7iZjmV5RSw8XkFFpjY78XactBRH4pIi9a96u1/oXWOsI8lzeLyA6t9erB6GqAdoPSVH9txXaa8lRKeV/8v5icXAel3X7aHRmMnmzoc0CaGoA/DEpT/bW1haYG6PcTGYSmBuh3UJrqUywsEpfIq6zb2sqrrK0gttBUsYhMUUp5mHnHfDH59dlSWNuPbaGpQfodkKbs5Sss/21Ny5YfMfm5nBXTKeXRS2g3RkROiEiGmDbRJXm6i8mketTc/hMR8bOx3V4xMZ9TIjJ/kGffEZPZtktMm+duETknJr+kk+af/qIvWNs3RSTTPOZ1Yj5d2th2hogcM4/7kIik9dN2hpiuDzP6jHGJmJhVqYh0iOnkstnWtlbPFApG3/TbTkReF5HvXSodiEiAiGwXE6PcLiL+l9D2I/PvGSKyXkzO2La2dRGTteO0iBwXkXmX0PZBMe2FsyLyOzGfbAf49jnynwgom+iKtLOJpvppaytNxZmfOSUiZ8S8zwejqf7aDUZPg7UdjKb64w+20NQAbQelqQHaDkpTA7S1iabE5FhbKyK+feps5VWs7aB01U87W2nq12JSFk+b+3IdjJ4GamsLTQ3U1haasv98NT/2FBD2Yi/2Yi/2Yi/28o0tX4erK3uxF3uxF3uxF3uxly9U7IqOvdiLvdiLvdiLvXxji13RsRd7sRd7sRd7sZdvbLErOvZiL/ZiL/ZiL/byjS12Rcde7MVe7MVe7MVevrHFrujYi73Yi73Yi73Yyze22BUde7EXe7EXe7EXe/nGlv8H1x+UzfMM3I0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#latent space heatmap\n",
    "fig, ax = plt.subplots(figsize=(10, 10))\n",
    "encoder = cp_vae.encoder_block[\"encoder\"]\n",
    "latent = np.array(encoder.predict(test_features_df)[2])\n",
    "seaborn.heatmap(latent, ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "reconstruction = pd.DataFrame(cp_vae.vae.predict(test_features_df), columns=cp_features)\n",
    "pca = PCA(n_components=2).fit(test_features_df)\n",
    "pca_reconstructed_latent_df = pd.DataFrame(pca.transform(reconstruction))\n",
    "pca_test_latent_df = pd.DataFrame(pca.transform(test_features_df))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f08c863ead0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure(figsize=(10, 10), dpi=80)\n",
    "plt.scatter(pca_test_latent_df[0],pca_test_latent_df[1], marker = \".\", alpha = 0.5)\n",
    "plt.scatter(pca_reconstructed_latent_df[0],pca_reconstructed_latent_df[1], marker = \".\", alpha = 0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "decoder = cp_vae.decoder_block[\"decoder\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f08354a4c90>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pca_training = PCA(n_components=2).fit(train_features_df)\n",
    "\n",
    "simulated_df = pd.DataFrame(np.random.normal(size=(40242, 90)), columns=np.arange(0,90))\n",
    "reconstruction_of_simulated = decoder.predict(simulated_df)\n",
    "pca_reconstruction_of_simulated = pd.DataFrame(pca_training.transform(reconstruction_of_simulated))\n",
    "pca_train_latent_df = pd.DataFrame(pca_training.transform(train_features_df))\n",
    "\n",
    "fig, (ax1,ax2) = plt.subplots(1, 2, figsize=(16,8), sharey = True, sharex = True)\n",
    "ax1.scatter(pca_train_latent_df[0],pca_train_latent_df[1], marker = \".\", alpha = 0.5)\n",
    "ax2.scatter(pca_reconstruction_of_simulated[0],pca_reconstruction_of_simulated[1], marker = \".\", alpha = 0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9.266833694926369"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy.spatial.distance import directed_hausdorff\n",
    "max(directed_hausdorff(reconstruction_of_simulated, train_features_df)[0],directed_hausdorff(train_features_df,reconstruction_of_simulated)[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "#NOTE: IF YOU RUN THIS, YOU WILL NOT BE ABLE TO REPRODUCE THE EXACT RESULTS IN THE EXPERIMENT\n",
    "latent_complete = np.array(encoder.predict(complete_features_df)[2])\n",
    "latent_df = pd.DataFrame(latent)\n",
    "latent_df.to_csv(\"../3.application/level4Latent_vanilla.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: level4Decoder_vanilla/assets\n"
     ]
    }
   ],
   "source": [
    "#NOTE: IF YOU RUN THIS, YOU WILL NOT BE ABLE TO REPRODUCE THE EXACT RESULTS IN THE EXPERIMENT\n",
    "decoder.save(\"models/level4Decoder_vanilla\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: level4Encoder_vanilla/assets\n"
     ]
    }
   ],
   "source": [
    "encoder.save(\"models/level4Encoder_vanilla\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}