notebooks/explainability/shap_example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "demanding-playlist",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "import os\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import shap\n",
    "\n",
    "sys.path.append(os.path.abspath(\"../..\"))\n",
    "from android_malware_labeling.explainability.api import load_explainability_output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "christian-universe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/var/tmp/xmacko1/bachelor_thesis/repos/AndroidMalwareLabeling'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.path.abspath(\"../..\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "geological-showcase",
   "metadata": {},
   "outputs": [],
   "source": [
    "SHAP_PATH = \"/var/tmp/xmacko1/bachelor_thesis/repos/AndroidMalwareLabeling/results/test_shap.h5\"\n",
    "RF_MODEL_PATH = \"/var/tmp/xmacko1/bachelor_thesis/repos/AndroidMalwareLabeling/results/models/base_rf.joblib\"\n",
    "X_test = \"/var/tmp/xmacko1/bachelor_thesis/repos/AndroidMalwareLabeling/data/prepared/2019_test_X.csv\"\n",
    "y_test = \"/var/tmp/xmacko1/bachelor_thesis/repos/AndroidMalwareLabeling/data/prepared/2019_test_y.csv\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "novel-bloom",
   "metadata": {},
   "outputs": [],
   "source": [
    "explain = load_explainability_output(SHAP_PATH)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "composed-arthur",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2, 1000, 156)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# explain.shap_values is a list of dataframes\n",
    "shap_values_array = np.array(explain.shap_values)\n",
    "shap_values_array.shape # array of |class| x |samples| x |features|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "iraqi-remains",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0,)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# explain.shap_interaction_values is a list of dataframes\n",
    "shap_interaction_values_array = np.array(explain.shap_interaction_values)\n",
    "shap_interaction_values_array.shape # array of |samples| x |features| x |features|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "egyptian-atlantic",
   "metadata": {},
   "outputs": [
    {
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       "      <td>0.499977</td>\n",
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       "          0\n",
       "0  0.499977\n",
       "1  0.500023"
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     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "explain.shap_expected_values # for each class value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "banner-newman",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>n_classes</th>\n",
       "      <th>crypto_imports_total_sqrt_count</th>\n",
       "      <th>crypto_imports_unique_sqrt_count</th>\n",
       "      <th>crypto_imports=java.security.digestinputstream</th>\n",
       "      <th>crypto_imports=java.security.digestoutputstream</th>\n",
       "      <th>crypto_imports=java.security.interfaces.rsaprivatekey</th>\n",
       "      <th>crypto_imports=java.security.interfaces.rsapublickey</th>\n",
       "      <th>crypto_imports=java.security.key</th>\n",
       "      <th>crypto_imports=java.security.keyfactory</th>\n",
       "      <th>crypto_imports=java.security.keypair</th>\n",
       "      <th>...</th>\n",
       "      <th>crypto_api_records=generateSecret( SecretKeyFactory.getInstance(</th>\n",
       "      <th>crypto_api_records=generateSecret( SecretKeyFactory.getInstance(\"DES</th>\n",
       "      <th>crypto_api_records=setSeed(</th>\n",
       "      <th>uses_ECB/PKCS7Padding</th>\n",
       "      <th>uses_public_crypto_RSA</th>\n",
       "      <th>uses_digital_signature</th>\n",
       "      <th>uses_SHA1withRSA</th>\n",
       "      <th>uses_MAC</th>\n",
       "      <th>uses_HmacSHA1</th>\n",
       "      <th>uses_PRNG</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.695946</td>\n",
       "      <td>-0.113568</td>\n",
       "      <td>0.30509</td>\n",
       "      <td>-0.043703</td>\n",
       "      <td>-0.094239</td>\n",
       "      <td>-0.033159</td>\n",
       "      <td>-0.036935</td>\n",
       "      <td>-0.089432</td>\n",
       "      <td>-0.073376</td>\n",
       "      <td>-0.022198</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.094812</td>\n",
       "      <td>-0.089554</td>\n",
       "      <td>-0.209519</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.738816</td>\n",
       "      <td>-0.45375</td>\n",
       "      <td>-0.558243</td>\n",
       "      <td>-0.043703</td>\n",
       "      <td>-0.094239</td>\n",
       "      <td>-0.033159</td>\n",
       "      <td>-0.036935</td>\n",
       "      <td>-0.089432</td>\n",
       "      <td>-0.073376</td>\n",
       "      <td>-0.022198</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.094812</td>\n",
       "      <td>-0.089554</td>\n",
       "      <td>-0.209519</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.736984</td>\n",
       "      <td>-0.45375</td>\n",
       "      <td>-0.558243</td>\n",
       "      <td>-0.043703</td>\n",
       "      <td>-0.094239</td>\n",
       "      <td>-0.033159</td>\n",
       "      <td>-0.036935</td>\n",
       "      <td>-0.089432</td>\n",
       "      <td>-0.073376</td>\n",
       "      <td>-0.022198</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.094812</td>\n",
       "      <td>-0.089554</td>\n",
       "      <td>-0.209519</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.802676</td>\n",
       "      <td>-0.45375</td>\n",
       "      <td>-0.558243</td>\n",
       "      <td>-0.043703</td>\n",
       "      <td>-0.094239</td>\n",
       "      <td>-0.033159</td>\n",
       "      <td>-0.036935</td>\n",
       "      <td>-0.089432</td>\n",
       "      <td>-0.073376</td>\n",
       "      <td>-0.022198</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.094812</td>\n",
       "      <td>-0.089554</td>\n",
       "      <td>-0.209519</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.890248</td>\n",
       "      <td>-0.45375</td>\n",
       "      <td>-0.558243</td>\n",
       "      <td>-0.043703</td>\n",
       "      <td>-0.094239</td>\n",
       "      <td>-0.033159</td>\n",
       "      <td>-0.036935</td>\n",
       "      <td>-0.089432</td>\n",
       "      <td>-0.073376</td>\n",
       "      <td>-0.022198</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.094812</td>\n",
       "      <td>-0.089554</td>\n",
       "      <td>-0.209519</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>-0.736984</td>\n",
       "      <td>-0.45375</td>\n",
       "      <td>-0.558243</td>\n",
       "      <td>-0.043703</td>\n",
       "      <td>-0.094239</td>\n",
       "      <td>-0.033159</td>\n",
       "      <td>-0.036935</td>\n",
       "      <td>-0.089432</td>\n",
       "      <td>-0.073376</td>\n",
       "      <td>-0.022198</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.094812</td>\n",
       "      <td>-0.089554</td>\n",
       "      <td>-0.209519</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>0.741485</td>\n",
       "      <td>0.674504</td>\n",
       "      <td>0.662695</td>\n",
       "      <td>-0.043703</td>\n",
       "      <td>-0.094239</td>\n",
       "      <td>-0.033159</td>\n",
       "      <td>-0.036935</td>\n",
       "      <td>0.139146</td>\n",
       "      <td>-0.073376</td>\n",
       "      <td>-0.022198</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.094812</td>\n",
       "      <td>-0.089554</td>\n",
       "      <td>4.73233</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>1.365117</td>\n",
       "      <td>1.313884</td>\n",
       "      <td>1.725922</td>\n",
       "      <td>-0.043703</td>\n",
       "      <td>-0.094239</td>\n",
       "      <td>-0.033159</td>\n",
       "      <td>-0.036935</td>\n",
       "      <td>0.062953</td>\n",
       "      <td>0.724209</td>\n",
       "      <td>-0.022198</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.094812</td>\n",
       "      <td>-0.089554</td>\n",
       "      <td>-0.209519</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>-0.738816</td>\n",
       "      <td>-0.45375</td>\n",
       "      <td>-0.558243</td>\n",
       "      <td>-0.043703</td>\n",
       "      <td>-0.094239</td>\n",
       "      <td>-0.033159</td>\n",
       "      <td>-0.036935</td>\n",
       "      <td>-0.089432</td>\n",
       "      <td>-0.073376</td>\n",
       "      <td>-0.022198</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.094812</td>\n",
       "      <td>-0.089554</td>\n",
       "      <td>-0.209519</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>-0.736984</td>\n",
       "      <td>-0.45375</td>\n",
       "      <td>-0.558243</td>\n",
       "      <td>-0.043703</td>\n",
       "      <td>-0.094239</td>\n",
       "      <td>-0.033159</td>\n",
       "      <td>-0.036935</td>\n",
       "      <td>-0.089432</td>\n",
       "      <td>-0.073376</td>\n",
       "      <td>-0.022198</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.094812</td>\n",
       "      <td>-0.089554</td>\n",
       "      <td>-0.209519</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 156 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    n_classes crypto_imports_total_sqrt_count  \\\n",
       "0   -0.695946                       -0.113568   \n",
       "1   -0.738816                        -0.45375   \n",
       "2   -0.736984                        -0.45375   \n",
       "3    0.802676                        -0.45375   \n",
       "4    0.890248                        -0.45375   \n",
       "..        ...                             ...   \n",
       "995 -0.736984                        -0.45375   \n",
       "996  0.741485                        0.674504   \n",
       "997  1.365117                        1.313884   \n",
       "998 -0.738816                        -0.45375   \n",
       "999 -0.736984                        -0.45375   \n",
       "\n",
       "    crypto_imports_unique_sqrt_count  \\\n",
       "0                            0.30509   \n",
       "1                          -0.558243   \n",
       "2                          -0.558243   \n",
       "3                          -0.558243   \n",
       "4                          -0.558243   \n",
       "..                               ...   \n",
       "995                        -0.558243   \n",
       "996                         0.662695   \n",
       "997                         1.725922   \n",
       "998                        -0.558243   \n",
       "999                        -0.558243   \n",
       "\n",
       "    crypto_imports=java.security.digestinputstream  \\\n",
       "0                                        -0.043703   \n",
       "1                                        -0.043703   \n",
       "2                                        -0.043703   \n",
       "3                                        -0.043703   \n",
       "4                                        -0.043703   \n",
       "..                                             ...   \n",
       "995                                      -0.043703   \n",
       "996                                      -0.043703   \n",
       "997                                      -0.043703   \n",
       "998                                      -0.043703   \n",
       "999                                      -0.043703   \n",
       "\n",
       "    crypto_imports=java.security.digestoutputstream  \\\n",
       "0                                         -0.094239   \n",
       "1                                         -0.094239   \n",
       "2                                         -0.094239   \n",
       "3                                         -0.094239   \n",
       "4                                         -0.094239   \n",
       "..                                              ...   \n",
       "995                                       -0.094239   \n",
       "996                                       -0.094239   \n",
       "997                                       -0.094239   \n",
       "998                                       -0.094239   \n",
       "999                                       -0.094239   \n",
       "\n",
       "    crypto_imports=java.security.interfaces.rsaprivatekey  \\\n",
       "0                                            -0.033159      \n",
       "1                                            -0.033159      \n",
       "2                                            -0.033159      \n",
       "3                                            -0.033159      \n",
       "4                                            -0.033159      \n",
       "..                                                 ...      \n",
       "995                                          -0.033159      \n",
       "996                                          -0.033159      \n",
       "997                                          -0.033159      \n",
       "998                                          -0.033159      \n",
       "999                                          -0.033159      \n",
       "\n",
       "    crypto_imports=java.security.interfaces.rsapublickey  \\\n",
       "0                                            -0.036935     \n",
       "1                                            -0.036935     \n",
       "2                                            -0.036935     \n",
       "3                                            -0.036935     \n",
       "4                                            -0.036935     \n",
       "..                                                 ...     \n",
       "995                                          -0.036935     \n",
       "996                                          -0.036935     \n",
       "997                                          -0.036935     \n",
       "998                                          -0.036935     \n",
       "999                                          -0.036935     \n",
       "\n",
       "    crypto_imports=java.security.key crypto_imports=java.security.keyfactory  \\\n",
       "0                          -0.089432                               -0.073376   \n",
       "1                          -0.089432                               -0.073376   \n",
       "2                          -0.089432                               -0.073376   \n",
       "3                          -0.089432                               -0.073376   \n",
       "4                          -0.089432                               -0.073376   \n",
       "..                               ...                                     ...   \n",
       "995                        -0.089432                               -0.073376   \n",
       "996                         0.139146                               -0.073376   \n",
       "997                         0.062953                                0.724209   \n",
       "998                        -0.089432                               -0.073376   \n",
       "999                        -0.089432                               -0.073376   \n",
       "\n",
       "    crypto_imports=java.security.keypair  ...  \\\n",
       "0                              -0.022198  ...   \n",
       "1                              -0.022198  ...   \n",
       "2                              -0.022198  ...   \n",
       "3                              -0.022198  ...   \n",
       "4                              -0.022198  ...   \n",
       "..                                   ...  ...   \n",
       "995                            -0.022198  ...   \n",
       "996                            -0.022198  ...   \n",
       "997                            -0.022198  ...   \n",
       "998                            -0.022198  ...   \n",
       "999                            -0.022198  ...   \n",
       "\n",
       "    crypto_api_records=generateSecret( SecretKeyFactory.getInstance(  \\\n",
       "0                                            -0.094812                 \n",
       "1                                            -0.094812                 \n",
       "2                                            -0.094812                 \n",
       "3                                            -0.094812                 \n",
       "4                                            -0.094812                 \n",
       "..                                                 ...                 \n",
       "995                                          -0.094812                 \n",
       "996                                          -0.094812                 \n",
       "997                                          -0.094812                 \n",
       "998                                          -0.094812                 \n",
       "999                                          -0.094812                 \n",
       "\n",
       "    crypto_api_records=generateSecret( SecretKeyFactory.getInstance(\"DES  \\\n",
       "0                                            -0.089554                     \n",
       "1                                            -0.089554                     \n",
       "2                                            -0.089554                     \n",
       "3                                            -0.089554                     \n",
       "4                                            -0.089554                     \n",
       "..                                                 ...                     \n",
       "995                                          -0.089554                     \n",
       "996                                          -0.089554                     \n",
       "997                                          -0.089554                     \n",
       "998                                          -0.089554                     \n",
       "999                                          -0.089554                     \n",
       "\n",
       "    crypto_api_records=setSeed( uses_ECB/PKCS7Padding uses_public_crypto_RSA  \\\n",
       "0                     -0.209519                 False                  False   \n",
       "1                     -0.209519                 False                  False   \n",
       "2                     -0.209519                 False                  False   \n",
       "3                     -0.209519                 False                  False   \n",
       "4                     -0.209519                 False                  False   \n",
       "..                          ...                   ...                    ...   \n",
       "995                   -0.209519                 False                  False   \n",
       "996                     4.73233                 False                  False   \n",
       "997                   -0.209519                 False                  False   \n",
       "998                   -0.209519                 False                  False   \n",
       "999                   -0.209519                 False                  False   \n",
       "\n",
       "    uses_digital_signature uses_SHA1withRSA uses_MAC uses_HmacSHA1 uses_PRNG  \n",
       "0                    False            False    False         False     False  \n",
       "1                    False            False    False         False     False  \n",
       "2                    False            False    False         False     False  \n",
       "3                    False            False    False         False     False  \n",
       "4                    False            False    False         False     False  \n",
       "..                     ...              ...      ...           ...       ...  \n",
       "995                  False            False    False         False     False  \n",
       "996                  False            False    False         False     False  \n",
       "997                   True            False    False         False     False  \n",
       "998                  False            False    False         False     False  \n",
       "999                  False            False    False         False     False  \n",
       "\n",
       "[1000 rows x 156 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "explain.values # optional values used in a sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "nearby-cigarette",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>n_classes</th>\n",
       "      <th>crypto_imports_total_sqrt_count</th>\n",
       "      <th>crypto_imports_unique_sqrt_count</th>\n",
       "      <th>crypto_imports=java.security.digestinputstream</th>\n",
       "      <th>crypto_imports=java.security.digestoutputstream</th>\n",
       "      <th>crypto_imports=java.security.interfaces.rsaprivatekey</th>\n",
       "      <th>crypto_imports=java.security.interfaces.rsapublickey</th>\n",
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       "      <th>crypto_imports=java.security.keyfactory</th>\n",
       "      <th>crypto_imports=java.security.keypair</th>\n",
       "      <th>...</th>\n",
       "      <th>crypto_api_records=generateSecret( SecretKeyFactory.getInstance(</th>\n",
       "      <th>crypto_api_records=generateSecret( SecretKeyFactory.getInstance(\"DES</th>\n",
       "      <th>crypto_api_records=setSeed(</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7134 rows × 156 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    n_classes  \\\n",
       "2e9df1bba8df8f34c9262b33c8bab5f84cfc17be4d90f2b...  -0.533992   \n",
       "6201f6158e6b8c9fef80839df35a40220e4f3b7e1336e9b...  -0.736984   \n",
       "332537f5d60c9a0d92d57789c2891e7e4cdbcd40825006c...   1.100568   \n",
       "b2158e4555a3520379eee37939b99b6b883b96920d5fd58...  -0.696313   \n",
       "46a8971c6edf91cd386ea885decf9512b2d30c8826967ff...   1.594491   \n",
       "...                                                       ...   \n",
       "73e71e6579b207403b2e7443236fe034ade87a12c8e7e33...  -0.736984   \n",
       "0940e16b70eaf32904896f1dcf7b4e38f0bf011fd02f695...   0.208357   \n",
       "3e7e1ccf86aa7ed168037d152e0f4cfb7754634b4c61771...  -0.736984   \n",
       "ce51b51dca5fdac77eb7d4408d10f0ad9be1af584cdb283...  -0.736984   \n",
       "b60c196eb98081c28ac9be1e3f00aee814aa4983efdc909...  -0.737717   \n",
       "\n",
       "                                                    crypto_imports_total_sqrt_count  \\\n",
       "2e9df1bba8df8f34c9262b33c8bab5f84cfc17be4d90f2b...                        -0.453750   \n",
       "6201f6158e6b8c9fef80839df35a40220e4f3b7e1336e9b...                        -0.453750   \n",
       "332537f5d60c9a0d92d57789c2891e7e4cdbcd40825006c...                        -0.453750   \n",
       "b2158e4555a3520379eee37939b99b6b883b96920d5fd58...                        -0.113568   \n",
       "46a8971c6edf91cd386ea885decf9512b2d30c8826967ff...                         4.499363   \n",
       "...                                                                             ...   \n",
       "73e71e6579b207403b2e7443236fe034ade87a12c8e7e33...                        -0.453750   \n",
       "0940e16b70eaf32904896f1dcf7b4e38f0bf011fd02f695...                        -0.453750   \n",
       "3e7e1ccf86aa7ed168037d152e0f4cfb7754634b4c61771...                        -0.453750   \n",
       "ce51b51dca5fdac77eb7d4408d10f0ad9be1af584cdb283...                        -0.453750   \n",
       "b60c196eb98081c28ac9be1e3f00aee814aa4983efdc909...                        -0.453750   \n",
       "\n",
       "                                                    crypto_imports_unique_sqrt_count  \\\n",
       "2e9df1bba8df8f34c9262b33c8bab5f84cfc17be4d90f2b...                         -0.558243   \n",
       "6201f6158e6b8c9fef80839df35a40220e4f3b7e1336e9b...                         -0.558243   \n",
       "332537f5d60c9a0d92d57789c2891e7e4cdbcd40825006c...                         -0.558243   \n",
       "b2158e4555a3520379eee37939b99b6b883b96920d5fd58...                          0.305090   \n",
       "46a8971c6edf91cd386ea885decf9512b2d30c8826967ff...                          2.554549   \n",
       "...                                                                              ...   \n",
       "73e71e6579b207403b2e7443236fe034ade87a12c8e7e33...                         -0.558243   \n",
       "0940e16b70eaf32904896f1dcf7b4e38f0bf011fd02f695...                         -0.558243   \n",
       "3e7e1ccf86aa7ed168037d152e0f4cfb7754634b4c61771...                         -0.558243   \n",
       "ce51b51dca5fdac77eb7d4408d10f0ad9be1af584cdb283...                         -0.558243   \n",
       "b60c196eb98081c28ac9be1e3f00aee814aa4983efdc909...                         -0.558243   \n",
       "\n",
       "                                                    crypto_imports=java.security.digestinputstream  \\\n",
       "2e9df1bba8df8f34c9262b33c8bab5f84cfc17be4d90f2b...                                       -0.043703   \n",
       "6201f6158e6b8c9fef80839df35a40220e4f3b7e1336e9b...                                       -0.043703   \n",
       "332537f5d60c9a0d92d57789c2891e7e4cdbcd40825006c...                                       -0.043703   \n",
       "b2158e4555a3520379eee37939b99b6b883b96920d5fd58...                                       -0.043703   \n",
       "46a8971c6edf91cd386ea885decf9512b2d30c8826967ff...                                       -0.043703   \n",
       "...                                                                                            ...   \n",
       "73e71e6579b207403b2e7443236fe034ade87a12c8e7e33...                                       -0.043703   \n",
       "0940e16b70eaf32904896f1dcf7b4e38f0bf011fd02f695...                                       -0.043703   \n",
       "3e7e1ccf86aa7ed168037d152e0f4cfb7754634b4c61771...                                       -0.043703   \n",
       "ce51b51dca5fdac77eb7d4408d10f0ad9be1af584cdb283...                                       -0.043703   \n",
       "b60c196eb98081c28ac9be1e3f00aee814aa4983efdc909...                                       -0.043703   \n",
       "\n",
       "                                                    crypto_imports=java.security.digestoutputstream  \\\n",
       "2e9df1bba8df8f34c9262b33c8bab5f84cfc17be4d90f2b...                                        -0.094239   \n",
       "6201f6158e6b8c9fef80839df35a40220e4f3b7e1336e9b...                                        -0.094239   \n",
       "332537f5d60c9a0d92d57789c2891e7e4cdbcd40825006c...                                        -0.094239   \n",
       "b2158e4555a3520379eee37939b99b6b883b96920d5fd58...                                        -0.094239   \n",
       "46a8971c6edf91cd386ea885decf9512b2d30c8826967ff...                                        -0.094239   \n",
       "...                                                                                             ...   \n",
       "73e71e6579b207403b2e7443236fe034ade87a12c8e7e33...                                        -0.094239   \n",
       "0940e16b70eaf32904896f1dcf7b4e38f0bf011fd02f695...                                        -0.094239   \n",
       "3e7e1ccf86aa7ed168037d152e0f4cfb7754634b4c61771...                                        -0.094239   \n",
       "ce51b51dca5fdac77eb7d4408d10f0ad9be1af584cdb283...                                        -0.094239   \n",
       "b60c196eb98081c28ac9be1e3f00aee814aa4983efdc909...                                        -0.094239   \n",
       "\n",
       "                                                    crypto_imports=java.security.interfaces.rsaprivatekey  \\\n",
       "2e9df1bba8df8f34c9262b33c8bab5f84cfc17be4d90f2b...                                          -0.033159       \n",
       "6201f6158e6b8c9fef80839df35a40220e4f3b7e1336e9b...                                          -0.033159       \n",
       "332537f5d60c9a0d92d57789c2891e7e4cdbcd40825006c...                                          -0.033159       \n",
       "b2158e4555a3520379eee37939b99b6b883b96920d5fd58...                                          -0.033159       \n",
       "46a8971c6edf91cd386ea885decf9512b2d30c8826967ff...                                          -0.033159       \n",
       "...                                                                                               ...       \n",
       "73e71e6579b207403b2e7443236fe034ade87a12c8e7e33...                                          -0.033159       \n",
       "0940e16b70eaf32904896f1dcf7b4e38f0bf011fd02f695...                                          -0.033159       \n",
       "3e7e1ccf86aa7ed168037d152e0f4cfb7754634b4c61771...                                          -0.033159       \n",
       "ce51b51dca5fdac77eb7d4408d10f0ad9be1af584cdb283...                                          -0.033159       \n",
       "b60c196eb98081c28ac9be1e3f00aee814aa4983efdc909...                                          -0.033159       \n",
       "\n",
       "                                                    crypto_imports=java.security.interfaces.rsapublickey  \\\n",
       "2e9df1bba8df8f34c9262b33c8bab5f84cfc17be4d90f2b...                                          -0.036935      \n",
       "6201f6158e6b8c9fef80839df35a40220e4f3b7e1336e9b...                                          -0.036935      \n",
       "332537f5d60c9a0d92d57789c2891e7e4cdbcd40825006c...                                          -0.036935      \n",
       "b2158e4555a3520379eee37939b99b6b883b96920d5fd58...                                          -0.036935      \n",
       "46a8971c6edf91cd386ea885decf9512b2d30c8826967ff...                                          -0.036935      \n",
       "...                                                                                               ...      \n",
       "73e71e6579b207403b2e7443236fe034ade87a12c8e7e33...                                          -0.036935      \n",
       "0940e16b70eaf32904896f1dcf7b4e38f0bf011fd02f695...                                          -0.036935      \n",
       "3e7e1ccf86aa7ed168037d152e0f4cfb7754634b4c61771...                                          -0.036935      \n",
       "ce51b51dca5fdac77eb7d4408d10f0ad9be1af584cdb283...                                          -0.036935      \n",
       "b60c196eb98081c28ac9be1e3f00aee814aa4983efdc909...                                          -0.036935      \n",
       "\n",
       "                                                    crypto_imports=java.security.key  \\\n",
       "2e9df1bba8df8f34c9262b33c8bab5f84cfc17be4d90f2b...                         -0.089432   \n",
       "6201f6158e6b8c9fef80839df35a40220e4f3b7e1336e9b...                         -0.089432   \n",
       "332537f5d60c9a0d92d57789c2891e7e4cdbcd40825006c...                         -0.089432   \n",
       "b2158e4555a3520379eee37939b99b6b883b96920d5fd58...                         -0.089432   \n",
       "46a8971c6edf91cd386ea885decf9512b2d30c8826967ff...                          0.062953   \n",
       "...                                                                              ...   \n",
       "73e71e6579b207403b2e7443236fe034ade87a12c8e7e33...                         -0.089432   \n",
       "0940e16b70eaf32904896f1dcf7b4e38f0bf011fd02f695...                         -0.089432   \n",
       "3e7e1ccf86aa7ed168037d152e0f4cfb7754634b4c61771...                         -0.089432   \n",
       "ce51b51dca5fdac77eb7d4408d10f0ad9be1af584cdb283...                         -0.089432   \n",
       "b60c196eb98081c28ac9be1e3f00aee814aa4983efdc909...                         -0.089432   \n",
       "\n",
       "                                                    crypto_imports=java.security.keyfactory  \\\n",
       "2e9df1bba8df8f34c9262b33c8bab5f84cfc17be4d90f2b...                                -0.073376   \n",
       "6201f6158e6b8c9fef80839df35a40220e4f3b7e1336e9b...                                -0.073376   \n",
       "332537f5d60c9a0d92d57789c2891e7e4cdbcd40825006c...                                -0.073376   \n",
       "b2158e4555a3520379eee37939b99b6b883b96920d5fd58...                                -0.073376   \n",
       "46a8971c6edf91cd386ea885decf9512b2d30c8826967ff...                                 0.325416   \n",
       "...                                                                                     ...   \n",
       "73e71e6579b207403b2e7443236fe034ade87a12c8e7e33...                                -0.073376   \n",
       "0940e16b70eaf32904896f1dcf7b4e38f0bf011fd02f695...                                -0.073376   \n",
       "3e7e1ccf86aa7ed168037d152e0f4cfb7754634b4c61771...                                -0.073376   \n",
       "ce51b51dca5fdac77eb7d4408d10f0ad9be1af584cdb283...                                -0.073376   \n",
       "b60c196eb98081c28ac9be1e3f00aee814aa4983efdc909...                                -0.073376   \n",
       "\n",
       "                                                    crypto_imports=java.security.keypair  \\\n",
       "2e9df1bba8df8f34c9262b33c8bab5f84cfc17be4d90f2b...                             -0.022198   \n",
       "6201f6158e6b8c9fef80839df35a40220e4f3b7e1336e9b...                             -0.022198   \n",
       "332537f5d60c9a0d92d57789c2891e7e4cdbcd40825006c...                             -0.022198   \n",
       "b2158e4555a3520379eee37939b99b6b883b96920d5fd58...                             -0.022198   \n",
       "46a8971c6edf91cd386ea885decf9512b2d30c8826967ff...                             -0.022198   \n",
       "...                                                                                  ...   \n",
       "73e71e6579b207403b2e7443236fe034ade87a12c8e7e33...                             -0.022198   \n",
       "0940e16b70eaf32904896f1dcf7b4e38f0bf011fd02f695...                             -0.022198   \n",
       "3e7e1ccf86aa7ed168037d152e0f4cfb7754634b4c61771...                             -0.022198   \n",
       "ce51b51dca5fdac77eb7d4408d10f0ad9be1af584cdb283...                             -0.022198   \n",
       "b60c196eb98081c28ac9be1e3f00aee814aa4983efdc909...                             -0.022198   \n",
       "\n",
       "                                                    ...  \\\n",
       "2e9df1bba8df8f34c9262b33c8bab5f84cfc17be4d90f2b...  ...   \n",
       "6201f6158e6b8c9fef80839df35a40220e4f3b7e1336e9b...  ...   \n",
       "332537f5d60c9a0d92d57789c2891e7e4cdbcd40825006c...  ...   \n",
       "b2158e4555a3520379eee37939b99b6b883b96920d5fd58...  ...   \n",
       "46a8971c6edf91cd386ea885decf9512b2d30c8826967ff...  ...   \n",
       "...                                                 ...   \n",
       "73e71e6579b207403b2e7443236fe034ade87a12c8e7e33...  ...   \n",
       "0940e16b70eaf32904896f1dcf7b4e38f0bf011fd02f695...  ...   \n",
       "3e7e1ccf86aa7ed168037d152e0f4cfb7754634b4c61771...  ...   \n",
       "ce51b51dca5fdac77eb7d4408d10f0ad9be1af584cdb283...  ...   \n",
       "b60c196eb98081c28ac9be1e3f00aee814aa4983efdc909...  ...   \n",
       "\n",
       "                                                    crypto_api_records=generateSecret( SecretKeyFactory.getInstance(  \\\n",
       "2e9df1bba8df8f34c9262b33c8bab5f84cfc17be4d90f2b...                                          -0.094812                  \n",
       "6201f6158e6b8c9fef80839df35a40220e4f3b7e1336e9b...                                          -0.094812                  \n",
       "332537f5d60c9a0d92d57789c2891e7e4cdbcd40825006c...                                          -0.094812                  \n",
       "b2158e4555a3520379eee37939b99b6b883b96920d5fd58...                                          -0.094812                  \n",
       "46a8971c6edf91cd386ea885decf9512b2d30c8826967ff...                                          -0.094812                  \n",
       "...                                                                                               ...                  \n",
       "73e71e6579b207403b2e7443236fe034ade87a12c8e7e33...                                          -0.094812                  \n",
       "0940e16b70eaf32904896f1dcf7b4e38f0bf011fd02f695...                                          -0.094812                  \n",
       "3e7e1ccf86aa7ed168037d152e0f4cfb7754634b4c61771...                                          -0.094812                  \n",
       "ce51b51dca5fdac77eb7d4408d10f0ad9be1af584cdb283...                                          -0.094812                  \n",
       "b60c196eb98081c28ac9be1e3f00aee814aa4983efdc909...                                          -0.094812                  \n",
       "\n",
       "                                                    crypto_api_records=generateSecret( SecretKeyFactory.getInstance(\"DES  \\\n",
       "2e9df1bba8df8f34c9262b33c8bab5f84cfc17be4d90f2b...                                          -0.089554                      \n",
       "6201f6158e6b8c9fef80839df35a40220e4f3b7e1336e9b...                                          -0.089554                      \n",
       "332537f5d60c9a0d92d57789c2891e7e4cdbcd40825006c...                                          -0.089554                      \n",
       "b2158e4555a3520379eee37939b99b6b883b96920d5fd58...                                          -0.089554                      \n",
       "46a8971c6edf91cd386ea885decf9512b2d30c8826967ff...                                          -0.089554                      \n",
       "...                                                                                               ...                      \n",
       "73e71e6579b207403b2e7443236fe034ade87a12c8e7e33...                                          -0.089554                      \n",
       "0940e16b70eaf32904896f1dcf7b4e38f0bf011fd02f695...                                          -0.089554                      \n",
       "3e7e1ccf86aa7ed168037d152e0f4cfb7754634b4c61771...                                          -0.089554                      \n",
       "ce51b51dca5fdac77eb7d4408d10f0ad9be1af584cdb283...                                          -0.089554                      \n",
       "b60c196eb98081c28ac9be1e3f00aee814aa4983efdc909...                                          -0.089554                      \n",
       "\n",
       "                                                    crypto_api_records=setSeed(  \\\n",
       "2e9df1bba8df8f34c9262b33c8bab5f84cfc17be4d90f2b...                    -0.209519   \n",
       "6201f6158e6b8c9fef80839df35a40220e4f3b7e1336e9b...                    -0.209519   \n",
       "332537f5d60c9a0d92d57789c2891e7e4cdbcd40825006c...                    -0.209519   \n",
       "b2158e4555a3520379eee37939b99b6b883b96920d5fd58...                    -0.209519   \n",
       "46a8971c6edf91cd386ea885decf9512b2d30c8826967ff...                    -0.209519   \n",
       "...                                                                         ...   \n",
       "73e71e6579b207403b2e7443236fe034ade87a12c8e7e33...                    -0.209519   \n",
       "0940e16b70eaf32904896f1dcf7b4e38f0bf011fd02f695...                    -0.209519   \n",
       "3e7e1ccf86aa7ed168037d152e0f4cfb7754634b4c61771...                    -0.209519   \n",
       "ce51b51dca5fdac77eb7d4408d10f0ad9be1af584cdb283...                    -0.209519   \n",
       "b60c196eb98081c28ac9be1e3f00aee814aa4983efdc909...                    -0.209519   \n",
       "\n",
       "                                                    uses_ECB/PKCS7Padding  \\\n",
       "2e9df1bba8df8f34c9262b33c8bab5f84cfc17be4d90f2b...                  False   \n",
       "6201f6158e6b8c9fef80839df35a40220e4f3b7e1336e9b...                  False   \n",
       "332537f5d60c9a0d92d57789c2891e7e4cdbcd40825006c...                  False   \n",
       "b2158e4555a3520379eee37939b99b6b883b96920d5fd58...                  False   \n",
       "46a8971c6edf91cd386ea885decf9512b2d30c8826967ff...                  False   \n",
       "...                                                                   ...   \n",
       "73e71e6579b207403b2e7443236fe034ade87a12c8e7e33...                  False   \n",
       "0940e16b70eaf32904896f1dcf7b4e38f0bf011fd02f695...                  False   \n",
       "3e7e1ccf86aa7ed168037d152e0f4cfb7754634b4c61771...                  False   \n",
       "ce51b51dca5fdac77eb7d4408d10f0ad9be1af584cdb283...                  False   \n",
       "b60c196eb98081c28ac9be1e3f00aee814aa4983efdc909...                  False   \n",
       "\n",
       "                                                    uses_public_crypto_RSA  \\\n",
       "2e9df1bba8df8f34c9262b33c8bab5f84cfc17be4d90f2b...                   False   \n",
       "6201f6158e6b8c9fef80839df35a40220e4f3b7e1336e9b...                   False   \n",
       "332537f5d60c9a0d92d57789c2891e7e4cdbcd40825006c...                   False   \n",
       "b2158e4555a3520379eee37939b99b6b883b96920d5fd58...                   False   \n",
       "46a8971c6edf91cd386ea885decf9512b2d30c8826967ff...                   False   \n",
       "...                                                                    ...   \n",
       "73e71e6579b207403b2e7443236fe034ade87a12c8e7e33...                   False   \n",
       "0940e16b70eaf32904896f1dcf7b4e38f0bf011fd02f695...                   False   \n",
       "3e7e1ccf86aa7ed168037d152e0f4cfb7754634b4c61771...                   False   \n",
       "ce51b51dca5fdac77eb7d4408d10f0ad9be1af584cdb283...                   False   \n",
       "b60c196eb98081c28ac9be1e3f00aee814aa4983efdc909...                   False   \n",
       "\n",
       "                                                    uses_digital_signature  \\\n",
       "2e9df1bba8df8f34c9262b33c8bab5f84cfc17be4d90f2b...                   False   \n",
       "6201f6158e6b8c9fef80839df35a40220e4f3b7e1336e9b...                   False   \n",
       "332537f5d60c9a0d92d57789c2891e7e4cdbcd40825006c...                   False   \n",
       "b2158e4555a3520379eee37939b99b6b883b96920d5fd58...                   False   \n",
       "46a8971c6edf91cd386ea885decf9512b2d30c8826967ff...                    True   \n",
       "...                                                                    ...   \n",
       "73e71e6579b207403b2e7443236fe034ade87a12c8e7e33...                   False   \n",
       "0940e16b70eaf32904896f1dcf7b4e38f0bf011fd02f695...                   False   \n",
       "3e7e1ccf86aa7ed168037d152e0f4cfb7754634b4c61771...                   False   \n",
       "ce51b51dca5fdac77eb7d4408d10f0ad9be1af584cdb283...                   False   \n",
       "b60c196eb98081c28ac9be1e3f00aee814aa4983efdc909...                   False   \n",
       "\n",
       "                                                    uses_SHA1withRSA  \\\n",
       "2e9df1bba8df8f34c9262b33c8bab5f84cfc17be4d90f2b...             False   \n",
       "6201f6158e6b8c9fef80839df35a40220e4f3b7e1336e9b...             False   \n",
       "332537f5d60c9a0d92d57789c2891e7e4cdbcd40825006c...             False   \n",
       "b2158e4555a3520379eee37939b99b6b883b96920d5fd58...             False   \n",
       "46a8971c6edf91cd386ea885decf9512b2d30c8826967ff...             False   \n",
       "...                                                              ...   \n",
       "73e71e6579b207403b2e7443236fe034ade87a12c8e7e33...             False   \n",
       "0940e16b70eaf32904896f1dcf7b4e38f0bf011fd02f695...             False   \n",
       "3e7e1ccf86aa7ed168037d152e0f4cfb7754634b4c61771...             False   \n",
       "ce51b51dca5fdac77eb7d4408d10f0ad9be1af584cdb283...             False   \n",
       "b60c196eb98081c28ac9be1e3f00aee814aa4983efdc909...             False   \n",
       "\n",
       "                                                    uses_MAC  uses_HmacSHA1  \\\n",
       "2e9df1bba8df8f34c9262b33c8bab5f84cfc17be4d90f2b...     False          False   \n",
       "6201f6158e6b8c9fef80839df35a40220e4f3b7e1336e9b...     False          False   \n",
       "332537f5d60c9a0d92d57789c2891e7e4cdbcd40825006c...     False          False   \n",
       "b2158e4555a3520379eee37939b99b6b883b96920d5fd58...     False          False   \n",
       "46a8971c6edf91cd386ea885decf9512b2d30c8826967ff...     False          False   \n",
       "...                                                      ...            ...   \n",
       "73e71e6579b207403b2e7443236fe034ade87a12c8e7e33...     False          False   \n",
       "0940e16b70eaf32904896f1dcf7b4e38f0bf011fd02f695...     False          False   \n",
       "3e7e1ccf86aa7ed168037d152e0f4cfb7754634b4c61771...     False          False   \n",
       "ce51b51dca5fdac77eb7d4408d10f0ad9be1af584cdb283...     False          False   \n",
       "b60c196eb98081c28ac9be1e3f00aee814aa4983efdc909...     False          False   \n",
       "\n",
       "                                                    uses_PRNG  \n",
       "2e9df1bba8df8f34c9262b33c8bab5f84cfc17be4d90f2b...      False  \n",
       "6201f6158e6b8c9fef80839df35a40220e4f3b7e1336e9b...      False  \n",
       "332537f5d60c9a0d92d57789c2891e7e4cdbcd40825006c...      False  \n",
       "b2158e4555a3520379eee37939b99b6b883b96920d5fd58...      False  \n",
       "46a8971c6edf91cd386ea885decf9512b2d30c8826967ff...       True  \n",
       "...                                                       ...  \n",
       "73e71e6579b207403b2e7443236fe034ade87a12c8e7e33...      False  \n",
       "0940e16b70eaf32904896f1dcf7b4e38f0bf011fd02f695...      False  \n",
       "3e7e1ccf86aa7ed168037d152e0f4cfb7754634b4c61771...      False  \n",
       "ce51b51dca5fdac77eb7d4408d10f0ad9be1af584cdb283...      False  \n",
       "b60c196eb98081c28ac9be1e3f00aee814aa4983efdc909...      False  \n",
       "\n",
       "[7134 rows x 156 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_csv(X_test, index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "swiss-queensland",
   "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",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ba6d3f592042cae477b4f443373307e6fd205207ee751a...</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>80069411a7bbedd2f468390a820ef2fc167be3e48a3338...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6f050daf740622b8dc8797382bb5650e1a7590e83439a4...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>39d4d1b1ac7d79668435f538828218c30153d1eaafab45...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3b81d1d2ee6adce7be9050fc609ab645e86560bffa0a39...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>afba726e990332a91b37824f0b202469ea0056126043aa...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>039b2cf284f7243be5ea408727bdee3c5a31ae73afc128...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>3ec98fc6bb5345d7248a1d71eae4887f813e04814d0063...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>0ae46d5e72e61d53e26867113727f8b5ddc7513a0eb3ac...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>dd23867b69164fb2336b33af6d080896a2b104cf75491e...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                     0\n",
       "0    ba6d3f592042cae477b4f443373307e6fd205207ee751a...\n",
       "1    80069411a7bbedd2f468390a820ef2fc167be3e48a3338...\n",
       "2    6f050daf740622b8dc8797382bb5650e1a7590e83439a4...\n",
       "3    39d4d1b1ac7d79668435f538828218c30153d1eaafab45...\n",
       "4    3b81d1d2ee6adce7be9050fc609ab645e86560bffa0a39...\n",
       "..                                                 ...\n",
       "995  afba726e990332a91b37824f0b202469ea0056126043aa...\n",
       "996  039b2cf284f7243be5ea408727bdee3c5a31ae73afc128...\n",
       "997  3ec98fc6bb5345d7248a1d71eae4887f813e04814d0063...\n",
       "998  0ae46d5e72e61d53e26867113727f8b5ddc7513a0eb3ac...\n",
       "999  dd23867b69164fb2336b33af6d080896a2b104cf75491e...\n",
       "\n",
       "[1000 rows x 1 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "explain.hashes # optional hashes of used values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "trying-marble",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>malicious</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>True</td>\n",
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       "      <th>3</th>\n",
       "      <td>False</td>\n",
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       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
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       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     malicious\n",
       "0         True\n",
       "1         True\n",
       "2         True\n",
       "3        False\n",
       "4        False\n",
       "..         ...\n",
       "995       True\n",
       "996      False\n",
       "997      False\n",
       "998       True\n",
       "999       True\n",
       "\n",
       "[1000 rows x 1 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "explain.targets # optional targets - True represents malicious sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "hispanic-genesis",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([False,  True])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.unique(explain.targets)\n",
    "# this means that False (benign) is indexed as 0 and True (malicious) is indexed as 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "interesting-disposition",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>n_classes</th>\n",
       "      <th>crypto_imports_total_sqrt_count</th>\n",
       "      <th>crypto_imports_unique_sqrt_count</th>\n",
       "      <th>crypto_imports=java.security.digestinputstream</th>\n",
       "      <th>crypto_imports=java.security.digestoutputstream</th>\n",
       "      <th>crypto_imports=java.security.interfaces.rsaprivatekey</th>\n",
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       "      <th>crypto_imports=java.security.keyfactory</th>\n",
       "      <th>crypto_imports=java.security.keypair</th>\n",
       "      <th>...</th>\n",
       "      <th>crypto_api_records=generateSecret( SecretKeyFactory.getInstance(</th>\n",
       "      <th>crypto_api_records=generateSecret( SecretKeyFactory.getInstance(\"DES</th>\n",
       "      <th>crypto_api_records=setSeed(</th>\n",
       "      <th>uses_ECB/PKCS7Padding</th>\n",
       "      <th>uses_public_crypto_RSA</th>\n",
       "      <th>uses_digital_signature</th>\n",
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       "      <td>-0.089432</td>\n",
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       "      <td>-0.022198</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.094812</td>\n",
       "      <td>-0.089554</td>\n",
       "      <td>-0.209519</td>\n",
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       "      <td>-0.094812</td>\n",
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       "      <td>-0.209519</td>\n",
       "      <td>False</td>\n",
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       "      <td>...</td>\n",
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       "      <td>-0.45375</td>\n",
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       "      <td>-0.043703</td>\n",
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       "      <td>-0.073376</td>\n",
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       "      <td>...</td>\n",
       "      <td>-0.094812</td>\n",
       "      <td>-0.089554</td>\n",
       "      <td>-0.209519</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>0.741485</td>\n",
       "      <td>0.674504</td>\n",
       "      <td>0.662695</td>\n",
       "      <td>-0.043703</td>\n",
       "      <td>-0.094239</td>\n",
       "      <td>-0.033159</td>\n",
       "      <td>-0.036935</td>\n",
       "      <td>0.139146</td>\n",
       "      <td>-0.073376</td>\n",
       "      <td>-0.022198</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.094812</td>\n",
       "      <td>-0.089554</td>\n",
       "      <td>4.73233</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>1.365117</td>\n",
       "      <td>1.313884</td>\n",
       "      <td>1.725922</td>\n",
       "      <td>-0.043703</td>\n",
       "      <td>-0.094239</td>\n",
       "      <td>-0.033159</td>\n",
       "      <td>-0.036935</td>\n",
       "      <td>0.062953</td>\n",
       "      <td>0.724209</td>\n",
       "      <td>-0.022198</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.094812</td>\n",
       "      <td>-0.089554</td>\n",
       "      <td>-0.209519</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>-0.738816</td>\n",
       "      <td>-0.45375</td>\n",
       "      <td>-0.558243</td>\n",
       "      <td>-0.043703</td>\n",
       "      <td>-0.094239</td>\n",
       "      <td>-0.033159</td>\n",
       "      <td>-0.036935</td>\n",
       "      <td>-0.089432</td>\n",
       "      <td>-0.073376</td>\n",
       "      <td>-0.022198</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.094812</td>\n",
       "      <td>-0.089554</td>\n",
       "      <td>-0.209519</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>-0.736984</td>\n",
       "      <td>-0.45375</td>\n",
       "      <td>-0.558243</td>\n",
       "      <td>-0.043703</td>\n",
       "      <td>-0.094239</td>\n",
       "      <td>-0.033159</td>\n",
       "      <td>-0.036935</td>\n",
       "      <td>-0.089432</td>\n",
       "      <td>-0.073376</td>\n",
       "      <td>-0.022198</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.094812</td>\n",
       "      <td>-0.089554</td>\n",
       "      <td>-0.209519</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 156 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    n_classes crypto_imports_total_sqrt_count  \\\n",
       "0   -0.695946                       -0.113568   \n",
       "1   -0.738816                        -0.45375   \n",
       "2   -0.736984                        -0.45375   \n",
       "3    0.802676                        -0.45375   \n",
       "4    0.890248                        -0.45375   \n",
       "..        ...                             ...   \n",
       "995 -0.736984                        -0.45375   \n",
       "996  0.741485                        0.674504   \n",
       "997  1.365117                        1.313884   \n",
       "998 -0.738816                        -0.45375   \n",
       "999 -0.736984                        -0.45375   \n",
       "\n",
       "    crypto_imports_unique_sqrt_count  \\\n",
       "0                            0.30509   \n",
       "1                          -0.558243   \n",
       "2                          -0.558243   \n",
       "3                          -0.558243   \n",
       "4                          -0.558243   \n",
       "..                               ...   \n",
       "995                        -0.558243   \n",
       "996                         0.662695   \n",
       "997                         1.725922   \n",
       "998                        -0.558243   \n",
       "999                        -0.558243   \n",
       "\n",
       "    crypto_imports=java.security.digestinputstream  \\\n",
       "0                                        -0.043703   \n",
       "1                                        -0.043703   \n",
       "2                                        -0.043703   \n",
       "3                                        -0.043703   \n",
       "4                                        -0.043703   \n",
       "..                                             ...   \n",
       "995                                      -0.043703   \n",
       "996                                      -0.043703   \n",
       "997                                      -0.043703   \n",
       "998                                      -0.043703   \n",
       "999                                      -0.043703   \n",
       "\n",
       "    crypto_imports=java.security.digestoutputstream  \\\n",
       "0                                         -0.094239   \n",
       "1                                         -0.094239   \n",
       "2                                         -0.094239   \n",
       "3                                         -0.094239   \n",
       "4                                         -0.094239   \n",
       "..                                              ...   \n",
       "995                                       -0.094239   \n",
       "996                                       -0.094239   \n",
       "997                                       -0.094239   \n",
       "998                                       -0.094239   \n",
       "999                                       -0.094239   \n",
       "\n",
       "    crypto_imports=java.security.interfaces.rsaprivatekey  \\\n",
       "0                                            -0.033159      \n",
       "1                                            -0.033159      \n",
       "2                                            -0.033159      \n",
       "3                                            -0.033159      \n",
       "4                                            -0.033159      \n",
       "..                                                 ...      \n",
       "995                                          -0.033159      \n",
       "996                                          -0.033159      \n",
       "997                                          -0.033159      \n",
       "998                                          -0.033159      \n",
       "999                                          -0.033159      \n",
       "\n",
       "    crypto_imports=java.security.interfaces.rsapublickey  \\\n",
       "0                                            -0.036935     \n",
       "1                                            -0.036935     \n",
       "2                                            -0.036935     \n",
       "3                                            -0.036935     \n",
       "4                                            -0.036935     \n",
       "..                                                 ...     \n",
       "995                                          -0.036935     \n",
       "996                                          -0.036935     \n",
       "997                                          -0.036935     \n",
       "998                                          -0.036935     \n",
       "999                                          -0.036935     \n",
       "\n",
       "    crypto_imports=java.security.key crypto_imports=java.security.keyfactory  \\\n",
       "0                          -0.089432                               -0.073376   \n",
       "1                          -0.089432                               -0.073376   \n",
       "2                          -0.089432                               -0.073376   \n",
       "3                          -0.089432                               -0.073376   \n",
       "4                          -0.089432                               -0.073376   \n",
       "..                               ...                                     ...   \n",
       "995                        -0.089432                               -0.073376   \n",
       "996                         0.139146                               -0.073376   \n",
       "997                         0.062953                                0.724209   \n",
       "998                        -0.089432                               -0.073376   \n",
       "999                        -0.089432                               -0.073376   \n",
       "\n",
       "    crypto_imports=java.security.keypair  ...  \\\n",
       "0                              -0.022198  ...   \n",
       "1                              -0.022198  ...   \n",
       "2                              -0.022198  ...   \n",
       "3                              -0.022198  ...   \n",
       "4                              -0.022198  ...   \n",
       "..                                   ...  ...   \n",
       "995                            -0.022198  ...   \n",
       "996                            -0.022198  ...   \n",
       "997                            -0.022198  ...   \n",
       "998                            -0.022198  ...   \n",
       "999                            -0.022198  ...   \n",
       "\n",
       "    crypto_api_records=generateSecret( SecretKeyFactory.getInstance(  \\\n",
       "0                                            -0.094812                 \n",
       "1                                            -0.094812                 \n",
       "2                                            -0.094812                 \n",
       "3                                            -0.094812                 \n",
       "4                                            -0.094812                 \n",
       "..                                                 ...                 \n",
       "995                                          -0.094812                 \n",
       "996                                          -0.094812                 \n",
       "997                                          -0.094812                 \n",
       "998                                          -0.094812                 \n",
       "999                                          -0.094812                 \n",
       "\n",
       "    crypto_api_records=generateSecret( SecretKeyFactory.getInstance(\"DES  \\\n",
       "0                                            -0.089554                     \n",
       "1                                            -0.089554                     \n",
       "2                                            -0.089554                     \n",
       "3                                            -0.089554                     \n",
       "4                                            -0.089554                     \n",
       "..                                                 ...                     \n",
       "995                                          -0.089554                     \n",
       "996                                          -0.089554                     \n",
       "997                                          -0.089554                     \n",
       "998                                          -0.089554                     \n",
       "999                                          -0.089554                     \n",
       "\n",
       "    crypto_api_records=setSeed( uses_ECB/PKCS7Padding uses_public_crypto_RSA  \\\n",
       "0                     -0.209519                 False                  False   \n",
       "1                     -0.209519                 False                  False   \n",
       "2                     -0.209519                 False                  False   \n",
       "3                     -0.209519                 False                  False   \n",
       "4                     -0.209519                 False                  False   \n",
       "..                          ...                   ...                    ...   \n",
       "995                   -0.209519                 False                  False   \n",
       "996                     4.73233                 False                  False   \n",
       "997                   -0.209519                 False                  False   \n",
       "998                   -0.209519                 False                  False   \n",
       "999                   -0.209519                 False                  False   \n",
       "\n",
       "    uses_digital_signature uses_SHA1withRSA uses_MAC uses_HmacSHA1 uses_PRNG  \n",
       "0                    False            False    False         False     False  \n",
       "1                    False            False    False         False     False  \n",
       "2                    False            False    False         False     False  \n",
       "3                    False            False    False         False     False  \n",
       "4                    False            False    False         False     False  \n",
       "..                     ...              ...      ...           ...       ...  \n",
       "995                  False            False    False         False     False  \n",
       "996                  False            False    False         False     False  \n",
       "997                   True            False    False         False     False  \n",
       "998                  False            False    False         False     False  \n",
       "999                  False            False    False         False     False  \n",
       "\n",
       "[1000 rows x 156 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "explain.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "incorporated-bookmark",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x684 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(explain.shap_values, explain.values, class_names=[\"benign\", \"malicious\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "peripheral-procurement",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7gSOx0SLnAmep6qwQxN0G/AK7B8aEc3tzuAf6A9eE7S8HVgKlqY6xhjwcAvwB+GY4lncj90Daeylyvbuo6mdh/f7ANaq6f3hfhl2nE8IxlgG/UtU3RaQf8CBWW74+ZOcQVS3NlN9t5P8EtkM19WU5/fTT6dWrF5MnT2b69Om1Svv000/nqaeeqnq/2267se+++7J06VJ22GEH2rRpQ2FhIYcffnhV8DBt2jTeeecddtjBnq9+8cUXrF27NmX6udC6dWt22mknli9fXi3fy5Yt46233mL9+vXV1j3qqKPo06dPVgFOuuAolxpiHy6v6iXi2Bj7VbXv+5bxe5p8ZOM1Mq4hjAf2xgpuZcB+kWUDgB8BP8YKzDsCFwBPA4jILsCZWOE84afAL8OrNzBFRGaHguDJwEuq2jaxckjjReBO4GSgGHgOK4SPqsPxnAf8APgUuD/k9V/AocDugAKvAA9HtjkX+A4WeEwCHmJL4PIwsBHoEd4/hBVmT41sf2HY53tYoLaQSOE4HOcIoA2wLxbIHRDSTUtV+4aC9TWq+lBk0RjgG8BRwArgT9h5PlxV/yAiBwGbVPWCyP7jWMD6ZsjjfeFYvpUpDymMAMrD8W7CAqNEaWMIFrQdDSwARofjjeqK3W8HADFVXZvmGFMSkb2AV7FA5gzsHH4nLMvVvTQAC8Q/Bv6I3RMHqOpkEelBFgGfc/XpxRdfpFevXrz33nt12jZq2bJlLFu2bKv13n77bS6++GIWLVpULfBpCOvXr68WrABp87B+/XpKSkr4/PPPmT17NkDV3+Rgpry8nLvuuovKykoKCgoYOHBgzgONhtiHa56aS7+YKO8j4+qViHTCAo+BqjpXVeOq+qmqJvp3PKGqL4f5a7HC7/dEpHNY/nNgjqq+FUn2LVV9SFU3qepLwJNA/wzZSDyNv1lVv1LVmdhT/QsybJPJPao6MzRZegQrzA5T1TWqWo7VuEjSNsNVdZGqrgJ+H45x71CL9H1gsKouV9XlwGDglFCgTrhXVaeH87QuTb42YIFUd6wAP1tV59b24ESkAAvWrlHVBaq6BrgCC7TStrFQ1Q9U9ZVwjlcCw4GjQu1ObWwA9gSKVXVzSHdxWHYucFu4h9YBv2PrGoWNwBBVXRfuqdo6B/hUVW8N13RDuM8gd/fS3ar6YagRvA/YPwRJDS7az8Gnt5/pmqxfv56Kigrq0mojOUBIJx6PU1payowZM2q9j3yYO7f612k0yEuc29LSUiorKwGorKxk5syZW62zrdMzZ86sto/S0tKcpu/TjWfa1cwDGVffuoa/s9MsL4u+CYHAi1htC1gB8d5M24T3+2TIQxdgnqpG/yPPCfPrYmFkei2wWVWXJM0rTJHH5Ol9InmI/oecE/5G8xfdPp1RWM3QJGCJiEwSkT2y2C5ZR6xmrCpPqroaWEyGcyYi+4nIUyKyQERWAW9E0quN34d9TxGRhSLyl9A8EeyclUXytSbkK2qhqn5F3XUl/f2aq3speg8lmkEm3zMNorCw0Ke3w+ma9OzZk8LCQrp0qf3XZM+ePbNaLxaLUVxcnPX6+datW7dq77/xjW9UTSfObXFxMQUFVrQqKCigR48eW62zrdM9evSoto/i4uKcpu/TjWc692JJr6bPm5a5+lYW/h4AfJRieWWKeXcDY0TkOeAgrJlVVNcU7z/LkN58YF8RiUUKoMVhfkPpypYApWv4+1nS8kQtVXH4G81f8nFtdZyhUD8MGCYie2LNukZhtRiZJKe1BGsqVZWnEEh0iuQp1Xm+C/gc69PxpYj0BP5HLb8tQ1B4GXCZiBQDz2D9i67DmpN1TawrIjuzdaCUKm+p5qVThjVnTKWmeynxKG3nyDZ712LfULu8OlcnhYWF1Z78FhYWsv/++zNr1iy6d+9Ov379ABg0aBBjx45l/vytvy7btGmTsh9Lv379+Oyzz1i2bBk777wzu+yyCx06dEjbRybRLCraR2bp0qWsX7+ejRuzG6ujVatWVR39AVq0aAFYjUUsFquqwQBo2bIlLVq0oF27dqxZs4aCggKKioo47rjj+Oijj5g+fTrr169n06ZNtGrVilatWnHYYYdl1UemqKiIgQMH1mv/lYbYh3NNhQcyrl6p6mIReQIYFzo9z6N6H5lUngPGYX1rngzNraKOEpGzgMeA47B+DIn+BIuAFiLSLdKs6jmsc/ZQERkFdAOuwgKmhnKtiMwA1mFNkV5S1c8BROQF4HYROQ8r9N8OPK+qC9OmZsfZSUTaheZqiEhfLPCYDazGOotnHMwgktYBiTeqWhkGWLhJRD7C+sjcjvXnmBbZ5igRKVDVRAmhHfAJsEJEOgA3ZrHvrYQO79OwgGIl1pQrcRwPAr8XkRIsaPoD2dUsVzvGGjyEBYNXAX/B+ul8JzQvy3gvhQBuHjBARIZigfiFZHcdonktEpFWqrqhxrWdq4Nhw4Zxyy23UFFRQWFhIcOGDUu77qBBg1IODtC/f/+tfhAz4cADDwSgb9/sRq/v1atXoxgdrKioiD59+qRdnk0+o8FZfWmIfbjmx/vIOFc3A7BO6q9iT6yfwfpApBT6DYzHRoVKblYGFsCcgnUAH4+NTPZG2HY28FdgmoisEJFzQn+Nk7Bg5wtsVLAHsI7iDeUh4DXsyX0rrB9Gwi+w8zILCxZWUHMtyitYE7y54TiPwwLEKcAqLAhYhxWya3Iz8AsRWS4iz4d5v8EGLXgH63i/F/CDyChv92G1Dl+G/bcI23w77P814Nks9p3KYdi9shr4EHiXLR3pb8Wu31tY87NyLDiuyzGmFALM3sD3sFqzRVhzN7K8l87DBiRYGeaPzyJ/UY9j98micG671bSBc3UxbNgwRo4cmTGIycQL0s65fPPhl12jFGpvrlbV7knzJ5I0WlZjlmo4Xpdb4YdBb1bVifnOSxPl/wRcjVLVyIwcOTLt/ClTpgDZ18g456qpl6qTr2IXV/u+3zH+1yZfReM1Mq7REZFC7DdA/pzvvDjnnEtv5MiRGd8751x98j4yrlERkSuw3xF5AfvRwPre39mk7ytzkao+nGZZkxGaUn071bLo7+00FBEpIvXADwAPqerABsjD6jSLXlPVk+t7/841Jx68ONc0NMc+Mt60zDnntm/+T8DVKF0TsnS8aZlz26ReIo71sUuqfd+3jo9r8pGN18g455xzzjnX7DX5uGUr3kfGOeeccxl5XxjnXGPkNTLOOeecq5EHL841bc2xj4zXyDjnnHPOOeeaHK+Rcc4551ydTJ48mVmzZtG9e3f69euX7+w45zJqfjUyHsg455xzrtYmT57M9OnTAar+ejDjnGtI3rTMOeecc7WWCF7SvXfONS5xYtVezYEHMs4555xzzrkmxwMZ55xzzjnnXJPjfWScc845lxNDhgypmj7mmGPymBPn3PbAa2Scc845l3NvvPFGvrPgnItojn1kvEbGOZcVEdkN+BtwFLAM6AgcqKqfi0h/4BpV3T+PWXTOOefcdsQDGedctgYCbYHdVXVTvjOTLRGZCGxS1QvynZeaiEhv4CVV9e9mVy+iTb9GjhyZx5w45xpe86iFifJ/ls65bBUDM5tKECMiLYB4vvPhXGMRDWIS73fffXdWrlxJcXExAwYM2GqbCRMmMHfuXLp161a1fOzYsSxYsKDW+2zfvj0tW7Zk2bJlbNq0iVgsRjye/Ud0xx13ZNOmTWzevLna/EsuuYSioqKs0igvL6e0tJTi4uKst3HONV6x2nyJOOe2TyIyBegT3n4FPAmcC3RR1c+Sm5aJyA7AlUB/oBPwIXC5qmoN+9kR+AvwI6A18AUwVFUfD8sHAMOwZm3PYI+XNqlqfxHpCswFLgB+C+wH3AJcG8k3wC6qWr0kVD0PHYGRwPeAXYFPgbNUdZaI7A6MAU4Kq/8T+I2qLgvbloXz8FB4n8hT4jxNBFoA64GfAGuAG1X1bhHZG5gTjntNSH+Qqk7KdM5ywP8JbCeSA5lkBx54YLVgZsKECcyePbva8nXr1jF//vx6y2NdZRPMlJeXc9ddd1FZWUlBQQEDBw70YMY1VvVSdbI69ptq3/dt42OafBWNd/Z3ztVIVfsCDwOTVLUtcH0NmwwHfogFP7sDE4CpItK+hu3OA44AeqhqO+B4LAhCRL4NjMWauO0GvAik+hnxn4ftCrFApirf4ZUpiCkA/g8LYI4If/sDFWGVh4H2QI/w6gA8WMMxJTsTmBKO4dfAnSKyr6p+DpwMbI7ktb6DGCoqKnx6O5muydy5c6utX1pautXybGtiGloir5nOQ2lpKZWVlQBUVlZSWlraKK6LT/t0XT+zzpuWOedyTERiwGXAqaqaKAmNF5ErgFOBhzJsvgHrh3OQiPxHVaOPfs8FnlDVF8P7B0TkohRpDFfVRZH81Cr74dVBVVeGeR+EdPYGvo8NcLA8zBsMfCwie6nqwiz38bKq/l+YfkpEVgDfAObVJqO5UlhY6NPbyXRNunXrVm394uLiajUy3bp1a7Q1MsXFxUDm81BcXExBQUFVjUxxcXGjuC4+7dN1/cw6D2Scc7nXAQtGpohItBq7JbBPDds+BOyBNd86QET+BVypqp+GbZObps1NkUZZXTIddAUWR4KYqC4p9jknsizbQCZ5vTVY7ZFzDS5TH5kBAwZk7COTqN3IVr77yBQVFTFw4EDvI+O2W81lyOUoD2Scc7m2FCucn6iq79RmwzCQwG3AbSKyK3An1iztO8ACLNCI6or1YYlKLl3VprRVBnQSkXaquippWeIxdHSfxUnLKoCdI9vsXYt9Q+3y6lytjBw5stajlqUaAGDQoEFAzX1ust3HbbfdxvLly2nfvj1XXXVVjetvi6KiIg9gnGtGPJBxzuWUqsZF5E/AH0XkAlX9RETaAscA/wt9QVISkeOBlVhzrnVYQJR4/Pog1s9mIvAq8DPgSLYOZJItAo4SkQJVrSlQUOBd4D4RuRQLynoCS8Pv5bwA3C4i52GdMW8Hno80K/svcJaIPAzsxJaBBrK1CGghIt1UNVVtk3PbpDEOuVzfwYtzrvnyzv7OufpwPTaq2DMisgr4BOukX9N3zh5YwLIca4K1L/ArAFV9Fescfx/2g5x9gMlZ5OU+rJbkSxFZEYZlTikEOn2xIOo9YAVWI9Q2rPILrNZlFvBxWH5uJIlrsMBrIVACPJpF/qL7nw38FZgW8npObbZ3zjnntic+/LJzrskSkfuAHVS1f77z0oT5PwFXJzU1LWvbti3XXHNNA+XGuWalXjqzrIr9ttr3fbv47U2+04zXyDjnnHMuJ7p06UJBQQFt27bl0EMPzXd2nHPNnPeRcc41KBH5EGsylmyeqh7cAPt/Hvh2qmXhN3Kcc3WUGAhgypQpec6Jc25rTb4CZiseyDjnGlQugxVVvaAO25ycq/0755xzLn+8aZlzzjnnam3HHXfM+N4517jEiVV7NQceyDjnnHOu1oYPH14VvOy4444MHz48zzlyzm1vvGmZc8455+rEgxfnmo7mUgsT5TUyzjnnnHPOuSbHa2Scc845V2tXX3018XicWCzGrbfemu/sOOdq5DUyzjnnnNvOJYIYgHg8ztVXX53nHDnntkdeI+Occ865WkkEMeneO+can+b4KfUaGeecc84551yT4zUyzjnnnHPONXPNcdQyD2Scc845lxNDhgypmj7mmGPymBPn3PbAm5Y555xzbptFgxiAN954I085cc6lFkt6NX0eyLhmT0SGisiUfOejMRORs0Xk/XznwznXOEybNo0JEyYwbdq0fGfFOefS8qZlrtERkd7AS6qak/tTVUfkIp1cE5H+wDWqun++86KqDwMP5zsf9UFEugJzgS6q+lmes1MjESnB7v+b850Xt32aNm0aTz31FACzZ88GoFevXvW6z6lTpzJjxgx69uxJnz59quUlMb9Xr15bvXfOZc/7yDhXAxFpqaob852Pxk5EWuY7D9sDP8/O1V4iiIm+r2vQcNtttwGwfPnyavM7dOjA8uXLicVibNq0qWp+SUkJJSUlW6Uze/bsavlKvG/VqhVHH300c+bMoV27dhx33HEUFRXVKa/OuaYn5mO/u2yISFvgBuB0oCMwH7gIuAl4D+gKHA/cBlwCXKqqT0e2fwDYqKrni8hEoCVQCfwQWALcpKoTRWRvYA7QGlgTNh+kqpNE5BDgDuAwYDkwAbhVVTfXkPcbgGNV9cTwvgy4DzgBOAJ7Wn82cHA4no7A48BAVd0UeaJ/IXAlsAdQAlyoqotDmrsDY4CTwm7/CfxGVZdF9jkB+G7Y5y3A9UArYG3Y5jTgfeCecC53AD4L+XithmOMA99W1dfD+95EarXCU/7/YtfpJGAxMFhVnwnL+xOpHRKRQuBOoC9QAVwHjAdOVNWS5HMa2UdVTYKI9ARuBw4H1mE1PtfVFOiKyInAKGA/YAPwXuTa7RnOz3HAF8AfgHuBbqpaFrm3NgI/ACYDPwfahfMcB25T1ZtqyMPpwFBgf2A9MF5Vh4VlZ4Tz0RUoA25I3OupatlCnjap6gWRe+lc4GqgC/Af4DxVXSgidwIXA5vCMSxQ1e6Z8poD/k/AVZPc1wVg5MiRNa7TWFxyySUezLimrl6qTpbGhlX7vu8Qv6XJV9F4HxmXrfHAkVjhvx1WSFwYlg0A/gzsghXmxwMXJDYUkV2AM7ECZ8JPscL+blhA9FcROVpVPwdOBjaratvwmhTSeBF4BdgTODXsd3Adj+c8LOBqjwUPT2NBxqHA18Px9Uva5lzgO1jhsxJ4KLLs4ZBWj/DqADyYtP2FIb+FWEA2ECiNHGcJ8HugDbAvsCvwYyyYyYXzsMBiFyxImSQibdKsewdwAHAQcAgWcLbIdkci0gl4FXgK6Ax8C/geVnivyQNsuZ86A9EmVg8Dm4Ei7Fr0T7H9T4DnsYD0t9g1BegeznNNQczJwCQscO8AHBjSQ0SODnkYAuyOBTt/E5EjsziuqH4h/52BnYEbAVT1UuA1LLBv2wBBDBUVFT7t0ymno7JZp7EoLS0FGsc59GmfztVn0KXmTctcjUKh9KdAT1WdG2Z/GpYBPKGqL4f5a0XkPmCIiHRW1QXYE/E5qvpWJNm3VDURCLwkIk9ihdI302TjVOzp/M2qGgdmishtWGAwqg6HdY+qzgzH8AhWI3OUqq4B1oTaBaF6v5HhqroobPN74JNQgwTwfeBAVV0elg8GPhaRvVQ1EfDdq6rTw/S6cO6SbcAKyN2B6ao6uw7Hls5kVX0z5O8eYDQWrFTr5C8iBdj5ODVyvFdhQVW2zgXeV9W7w/sFInIrVmN3Yw3bbsBqY/YI+y8JeeiM1VTtr6orgZUiMhx4IWn711V1cphem+Y8Z/Jr4C5VfTa8XwW8Hqb7A0+q6vPh/XMi8jQWVL9di30MV9WlUHX/XVDD+vWmsLDQp3065XRUNus0FsXFxUDjOIc+7dO5+gy61LxGxmWja/ibrlBdFn2jquVY7ckvw6wLqF4bs9U24f0+GfLQBZgXgpiEOWF+XSyMTK/FaoCWJM1L/jYpSzG9TyQPcyPL54S/0fxFt09nFPAvrEZgiYhMEpE9stguG1XHHAI22PoYwWoydqR6fuemWC+TbsAxIrIi8cKa1u2ZxbY/xAKs/4nIRyJyRZifuD/m1ZCvslrmNVlX0t/rXVLssy73YfT+W0Pq6+BcXhQUFGR8Xxvt27enffv2W83v0KEDLVq0YIcdtu15aqtWrejduzddunTh4IMP9mZlzm1nvEbGZaMs/D0A+CjF8soU8+4GxojIc1jzpORmVl1TvE80oUqV3nxgXxGJRYKZ4jC/oXRlS4DSNfz9LGn5p2G6OPyN5i/5uLY6zhBgDAOGhf4gD2HBzbk15G011kQpYe90K2ZhKVYr0pWtjzehIml/yfuch/WXObW2O1fV94F+IhIDjgVeEJEP2BJc7JshX5DFea5BGXavpzI/xT6j92G681Jei/3XNr/O5dSIESMYOnQolZWVFBQUMGJE3Qd+vOqqq3KYM+fctvBRy9x2SVUXi8gTwLjQmXke1vQnk+eAcVh/mScTTa4ijhKRs4DHsI7bZwCJjuOLgBYi0i3SlO05rN/GUBEZhT3xvwoLmBrKtSIyA+u4fhtWUP8cQEReAG4XkfOwTnq3A89HmpWlsgjoJCLtVHVVSKcvFgzNxoKT9VifkJr8FzhPRF7BCs517TuEqm4OzZ2GR453ZNJq/wVGiMg3saZpA7FrkvAA8FsRGQA8wpbA6EBVnZpu3yLSCjgLeE5Vl4rIcqxgv1lVPwtN/v4gIr8EdsI63ddkSUjjALLrbzQWeDScyxexPkuHhIEUJmFNIR8EXsIGTjgd6B22fQ+7pqcB/8Bql75D9f5UNVmEDTLgXN5sS/DinHMNxZuWuWwNwAppr2JPnZ8hQzOhMJLYeGyEseRmZWABzCnY6GPjsZHJ3gjbzgb+CkwLzZLOCX0iTsKCnS+wgQIewPp5NJSHsI7Y87HRxs6JLPsFdl5mAR8DK6i5FiVRUJ4bjvM4LECcgvXLKMOCiGweaV6KFX6XYed2YhbbZHI51oTqY+B/IU9VAVUYmGA0MBVrJrUH8EZk+SJs8IQfYcexHBtQIVFTlUk/rH/RauD/gOtV9dWw7OdYs7f52LV4oKbEVHUdcC3WKX+FiAyrYf3ngPOBEdj5nIX1gSLco+cBfwzH9AfgF4n+X6o6Bzt394Rt+wBPZnHMUWMACXn9sJbbOpc3hx12WLX3HTt2zFNOnHOpxIlVezUHPvyyqzeh9ubq5JGXosPR5iNftdXUflCxvojIJsLwy/nOS4KI7IMFNd1UtSzP2Wmq/J+Aq7V0QzRPnjyZWbNmsfPOO3PggQfSt2/fPOTOuSavXqKMxbFrq33fd4rf1OSjGW9a5upF+B2Sy7FhdJ1zzm0H+vWzUeunTJmS55w457bW5OOWrXgg43IujDI1AhsW954G2N/ZpO8rc5GqPpxmWZMhIs8D3061TFXbNnB2tkm+r5eIfJvwuzApjFBV7xzgnHPONQHetMw557Zv/k/A1Vq6pmUJiRoZb1rmXJ3US9XJF7Hrqn3f7xG/sclX0Xhnf+ecc87Vyumnn57xvXPONQRvWuacc865WunVqxcAM2bMoGfPnlXvnXONV3MZqSzKAxnnnHPO1VqvXr08gHHO5ZUHMs4555xzzjVzXiPjnHPOOVdL0cEBooMCOOfctvDO/s4555yrN8kjnKUa8cw51xBiSa+mzwMZ55xzzjnnXJPjTcucc84555xr5ppjHxmvkXHOOeecc841OV4j45xzzjnnXDMXz3cG6oHXyNRARM4WkffznY9tISKbRKR3vvPRXInI8yJyZb7z4baNiOwhIvNEZLd858U555xzNWt0NTKhwP2SqjaKvKnqw8DD+c5HYyMiJcBxQD9VfSwy/0jgLWCeqnbNT+5yIxzjt4ANQCXwJfAGcIeq/jexnqqe3IB5KgOuUdWH6nEfXYG5QBdV/SzX+06XfiNwAzBJVZcBiEh/oL+q9haRONBNVcvC/PuB51X1lGgCIvIR0AP4rqqWhO+zV4A12D20EfgYeBIYq6pfhe26YudkLVsemq1Q1X3q7WhdozJ16lRmzJhBz5496dOnT76z45xrhppjH5mcBgsi0lJVN+YyzaYqH+ciD/ucCVwIPBaZd2GY36YB81GfblLVmwFEZF/s+N4SkZ+q6tP5zZrLFRHZFTgXC0Ky8TlwlIgUqWp5SONY7Dt1c9K6m1W1bVinNfBtYAzwExE5TlU3RNbt3siCO1ePxo4dy4IFC9h5552pqKgAoKSkBCBnwczkyZOZNWsW3bt3p1+/fpSXl/Puu+9W7Q+gsLCQvffem7Vr11JcXAzAq6++ypIlS9h5551p06ZNtfWmT5/O4sWL2WGHHdiwYQNfffUVlZWVKff/xhtvpJyfGIK5d+/erF+/noqKCgoLCzn88MMpKirKeEzl5eU8/PDDrFq1inbt2nH22WfXuI1zrnnKKpARkbbY08rTgY7AfOAi4CbgPaArcDxwm4hcAlwaLeSJyAPARlU9X0QmAi2xp5M/BJZghcWJIrI38DzQQkRWh80HqeokETkEuAM4DFgOTABuVdXkQkNy3k8ARgAHApuAfwGXqerisLwkHMP+QG9gHvA7VX0+LO+PPYXev4b99AZeAn4JDA/nqVBEioDRwLHYk9YpwG9VtSJs1xEYCXwP2BX4FDhLVWeJyO5YgeeksJt/Ar+JPDEuC+fhu8ARwAUi8hxwJ9AXqACuS8rnYcBfgK9jBa6PgVNVdXmm40vjKWCgiBSraqmIFAJnYOd7UGSfOwBXAv2BTsCHwOWqqmH5icAoYD+s9uM9VT0xLLsM+A3QAViFPTEfGpbdD5wYztt84GZVfSSy31NDukVACfAJcJiq9g7Ldwf+gJ3f1tiT81+r6hepDlZV5wHXiMhewF9E5O+qGg/30EuRgOdIYBx2z70PvAAMSNRQiUgb4MZwrnYBpmGfmU/D8p8B1wP7YE/op6rqeSIyJRzLfSJyF/CmqibujSoi0jIc19nY52w08KtwfiaGdb4N3AochH2exgGjVTUe8gwwK9RE3KaqNyXtozd2v5+NXe8O2P15vqpWiEgMuBn7PBRitVm3q+pf0qUvIiOAn2H3yBfAX1T1jrC/rliNxbnA1UAX4D/Aeaq6MKyT8ntKVV+r6R4Evg/MTwQlWVgHPAMMCPsEC3LvDec1JVVdD7woIj8G/gecF7Zx25mxY8cyf/58gGpBBVgwk4tAZvLkyUyfPh2A6dOns2bNGj755BPi8fQt5WMxe2KbaZ1cSgRuCW+//TYXX3xx2sCkvLyccePGVb1fuXIl48aN45JLLvFgxrkaNb8amWz7yIwHjgROANoBPwAWhmUDgD9jBbIxYd0LEhuKyC7AmVT/Z/1TrNCzGxYQ/VVEjlbVz4GTCU8ww2tSSONFrKC5J3Bq2O/gLPL+FXApVrD5OrA38Kekdc4P83bFCmVPh4JTbbUATsGCrT3C09eXgY+AblihcZ/E/kWkAPi/sN8jwt/+WAAC1qStPfaUuAdWWHwwaZ8XYuehECtY3QEcEPZ1CBYstoisPxYrWO8G7BG23RDyM0REVmR4jaO69SGP54f3ZwGvsuXeSBge8tEH2B0LvqaKSPuw/AG23EOdsQIwInIgFuSdpqqFwMHhfCW8DnwjnLcbgYkiclDYdj8s0LopLB8TySehoP13LLjsCeyLnfeqQCiDR0M+uycvCE/2/xHW2Q34NXaPR90LfA04Cruf3waeFZGWIch5EAvgC4Fi4D4AVe0LlAMXhM/GVkFMcDX2OToKu+/2CceXyONBIY+jsM/Fqdhn5JywyqHhb/ewn2pBTEQLLAg8FAvaDgMuC8u+hxXSjwzH0Qu7XpnS/wgL+Aux+/pWEfl+0j77Ad/Bzv/O2HVPyPQ9VdM9eHjYfxVVnZgIelU1pqplSXm5FxggIgXhuv8QmJTiPG1FVT8B/hvyGvW2iCwRkUSztHoXLUT7dMNNL1iwgExysa9Zs2ZVS7O0tLTGACUejzdYEJNu/zNnzqx6n3xcpaWlKbdLzG8s19enfToX065mNdbIiEgnLPDoqapzw+zEk2OAJ1T15TB/rYjcBwwRkc6qugD4OTBHVd+KJPtWpJ39SyLyJFaAfzNNNk7FCts3hyfGM0XkNqwQPipT/lX19cjbRSLyB6wQE/V3VX0xTD8sIheHfI/IlHYaV6nqSgAROROIqWqiVmSdiFwLvCkiFwLfBATokNgG+CBsuzf2lPjARG2JiAwGPhaRvRJPoYF7VXV6WP4V9oT8VFVdFOZdBfw4kr8N2FP9LqFgVnVdVHUkFjjUxr3ACyJyPfbU/3os+CLsP4YVbk9V1cR/oPEicgV2XR8KedoP2CPkuySstwl7fHCwiMxT1RVJ+R0fycejIvI7rFbtIyyoeltV/xaW/0tEnsGe5IOd+28CJ0b6KVwJLBWRfWpo3pNYtnuKZacBq4E/hnt1uohMIAQJItIBu7f2TdT8iMhw4AqsEP4u1o/iayLyXqh9ey1DXlI5FxiRON/hHogGU5cAj6vqM+H9xyJyZ9jugVrua4iqrgZWi8jfsfsZ7Jq2xq7dklADujhTQkl9b14OtYsnYA89Eoar6tJwXI8QHprU8D2VzT3YHqvxy5qqTheRxVjQ2A14UVUXh+/FbHzGlntoKdYf612sxnoA8LyIHKmqH9QmX7VVWFjo03mY7ty5c1WNTCq52Ff37t2ramQAiouLG12NTKr99+ixpYVn8nElmr4lS8xvLNfXp306F9O5tr32keka/s5Os7ws+kZVy0XkRaxJyc1YQSO56URZiveHZ8hDF6zzePSbdQ5bCqVpicg3sYDkUKzfRgxom0V+6tLJthJrzpLQDSgSkRVJ68WxJ/FdgcWRICYqcWxzI/PmRJYlApmyyPKOwI5J86Lbg12Xa4HXRWQjVogbrqqbUh1QTVR1hojMC2l2AqZiQURCB+x8TwnNiBJasuUc/xAYCvxPRJYA96jqHaG52tnAxVhzqg+AG1X1hVCbdQP2hH5P7JzuHM4B2BP7eUnZnceW89oNO1dfJBU812OBXqZAJpHvL1Ms6wyUJ92r0Xx0C38/SNpvSyy4fF1ETsGC9FtEpBRrkpVNTVE0D1X7VNV14bxG83C8iJwemVdA9Xs3G5tVNZruGqw2BbWO7kOBa4DHROQtYGikKddWQjPCC7HzGwN2YusasmhtX9X+yPw9lc09uByryayte0OeuwG/r+W2+xDOeQgGE0H6Bqzp4g+AnxAebrjmZdCgQVV9ZNL1L9lW/fr1A8hrH5matGnThkMOOSTrPjJFRUVccskl3kfGOQdkF8iUhb8HkNT0Ikj17XU3MCY8UT2IrZtDdU3xPlFwTJXefGBfEYlFCojFZFfwehR4AviJqq4SkdOwfio15ecfWaSdLJ6iADtbVQ9OtbJYH5dOItJOVZOfBieOrSvhyTJ2zNFlUP18LcUKQV3ZEvR0jSYanlYPCPv/OtbMbC4wIRQ8h6Y9OnhIVQemmH8P1qznRlXdnFRAX4oVOE9U1XdSJaqq7wP9wpPzY7Eang9U9WVVfQp4SkRaAQOBZ0Lflh9jQfJJwEeqWikiypYGoAvY0rcoIfqfbl7I126qWtv/wP1C+rNSLFuABa/RezV5vwAHJAUBVVS1BCgRkRZY86gnReRtVZ1D6s9HqjxEm5LtxJYAL5GHCao6KHnDICelKlW9B7gnNJe7AWvqV5QqfRE5BrgNq4F5O9xHT5B9g96y8DfV91SN9yAwHQuoa+sRrFZ4Kdb8NSsisj9WI5ipKVolzbFBs6syaNCWj2Ci8zvAyJG1rRhPLxHMJBQVFWVV6D/nnHPSLuvVq1fGbSdPnsx7770HQNeuXZk7N/l5munUqRODB2fTQry6oqIirr766lpv59z2rjn+jkyNgUxoKvEEME6s4/s8rBlQJs9hnYfHA0/q1h3JjxKRs7DRro7DOj2fGJYtwjr7d4s0EXkO6/sxVERGYU8/r8ICppq0A1YCFWId74ekWOdHYoMClGDNU4Qt/QW2xbPYU/WhWAf71VgfnV5qgyEo1pTkPhG5FCsM9QSWqurnIvICcLuInIcVaG7HhnxN7oMCQCj8PQIMF5EZWIfkav8RQ1ovhv5IK7DmW5vD9iOoW3O6v2HB1X9T5CkuIn8C/igiF6jqJ2Kdso/BOjsvxWpwnlPVpSKyHCvAbRaR7ti1/nc4lpXY57ASu66bsMEiCsK9eSh2zsEC2GtF5KfYULffAX6EnW+wc/8+8GcRuV5VvxQbeOEEVX001UGKSBcseOqPDTud6jvhWay/z2AR+TPWr+eXbDnHi8M1GiciV6jqgtC/4rtYQXhnLJh7SVVXRmrzNoe/i6i55uBB4Pci8gpWg3Er1fvDjQNeFZGpWA1aHOvj0lFVX8XOaWXYT51G0BKRXliN1zSsn1pF5BhSpd8uLF8CxMUGajgZeDyb/WX6nlLVTzPdg+Gz8E+suVkXVc26ZkptYIPvAuvS3A/ViMiO2PUdg91/k8L8o7Dvh4+x7+Vzse/GTA8WXDOSy+Al3/r161dVi9O3b99qQVpCczpe51z+ZNvZfwA2sterWIHkGaw5T0pqI4mNxzr/phqR5zGsU/zysN4gVX0jbDsb+CswTayD+Tmh6dVJWLDzBVboeAAbjakmv8IKnxXYE+FUBaPxWFOeldgoX2dEgqg6U9W12GhuB2EFlJXYqGnfCMsrsdHF1mHndwXWfyfR9O0XId+zwvYrsAJOJpdjNSwfY4HCFKoPB3s88F8RWYON+vQIW9eY1YqqrlfVl1IErAnXY/fMMyKyChs9bCBb7r9+WD+N1Vhn/utDgboVdj0WYsd+GXZt1mMFwLex2qoF2Dmu6kuiNgLYT7BO3iuB34bj/CosT4yaFwvnowJr2tM7Ke/XikhFyPe/sdHtjlbVJ9OcixVYv4uzsfv7TmBiYr/Bhdg1LQn7/V/Iazyck0FAWVg2FhuZqyxsezPwCxFZLiKJkfWGisiHkfRvxYKiaVhNxUJsuODEsc/A+vJcEZYtDnnsGJavw5oK/i18BoelOtYatMUGtViKNcE7CbvO6dJPfKanhW3OBGo7vHWm76mM92C4dx8kMiBEtlT1v6qaqrY6oYWIrA77XYhdw4eA4xL9s7CA/e/YvboAe5DSVyO/V+Scc85tizixaq/mIFZfHfrCU9GrVbV70vyJwCZVvSDVdg1NkobOdc2XiPwNqFDVXzXwfm8FvqnpRxmr7/23xYKq41Q13YAa2z0R2QMLpA4LgyxsL5pjawOXZ1OmWAtur5Fxrk7qJcqYFxtR7ft+3/jQJh/N5PQHMRPEfk/kcqyJjXN5ETpLv46NRnUq1oQxeTjf+tjvSVgtyxdYM6JfAb+r7/1G9r8bNtzxv7ABLsZgNTPp+oc4IIwit2+NKzrnnHNNUHOphYnKeSAThjQdgXUivyfX6afY39mk7ytzkao+nMN9rU6z6DVVPTlX+3E58x2sqV5r7PdXBqrqKw2w355YM6l2WJOuUWT5+yI5UoA1X3ocG8pZgR+o6sYGzINzzjnnXL2qt6ZlzjnnmgT/J+ByzpuWObdN6qXqpCw2str3fdf4kCZfRZNtZ3/nnHPOOeecazQ8kHHOOedcvUmuffHaGOfyI570ag7qpbO/c84551yCBy/OufrggYxzzjnnnHPNnI9a5pxzzjkXceONN7J27VratGnDddddl+/sOOe2I95HxjnnnHN1kghiANauXcuNN96Y5xw559KJE6v2ag48kHHOOedcnSSCmHTvnXOuPnnTMuecc84555q55lILE+WBjHPOOedyZtiwYWzevBmwH8R0zrn64k3LnHPOOZcziSAGLKhxzjUOzfF3ZDyQcc4551y9iAY1zjmXax7INDMiMlREpuQ7Hw1pezzmdPxc5IaIHCsi8cj7u0TkznzmyTnnnNs2saRX0+d9ZPJMRHoDL6lqTq6Fqo7IRTq5JiL9gWtUdf9cp91Yjzkfks+FiJRg99fN+clR86CqAxtqX37N3LYaMmRI1fTIkSPzmJPMpk2bxjvvvEO7du047rjjKCoqyneWnHNNjAcy20BEWqrqxnzno7ETkZb5zkNzJyIxoIWqbsp3Xpxz9W/s2LEsWLCAzp07M2jQoKr50SAm8T4azEydOpXp06ez2267cfLJJ1cLHsrLyyktLaW4uLjGoKK8vJzx48dnldchQ4bQsmVLdtppJ1atWpVynQ8//DDl/F122YXddtuNli1bUlpayqZN9hVXWFhIUVERq1atokOHDqxZs4aePXvSq1evrPJUn2pzHp1rSM1x1LJYPN5cuvvkjoi0BW4ATgc6AvOBi4CbgPeArsDxwG3AJcClqvp0ZPsHgI2qer6ITARaApXAD4ElwE2qOlFE9gbmAK2BNWHzQao6SUQOAe4ADgOWAxOAW1U1Y4NjEbkBOFZVTwzvy4D7gBOAI4C5wNnAweF4OgKPAwNVdZOIdA3rXAhcCewBlAAXqurikObuwBjgpLDbfwK/UdVlkX1OAL4b9nkLcD3QCkj8yMBpwPvAPeFc7gB8FvLxWqZjzOKYLwcuBjpj5+5hrDZos4iMAg5Q1R9Ftu8NTAH2xPq/PQQcDbQBPgWuUtUX0+y7faZjEJEfAdcC+wELgZtV9eHI9scBN2PXoxJ4VlX7p6qpS3GcceAK4Jyw/XeBPol1QlOoi4FNwEZgAfAj7LzvE7meMaAUuE5VH4zsbyLQImx7OnaP/g6YCdwLfA1Q4GxV/Txs0wa4ETgD2AWYhn0+Pg3Lf4bdC/tg98JUVT0v5OFm4JdAIfAlcLuq/iWkmfGaiMj5wFDsfn4GqzPfpKr9w/IiYDRwLHaNpwC/VdWKsPyAcEzfDOfifmCMqsYi52KTql4Q3h8Y1j8M+7xMAO6IrL8D9vnpD3QCPgQuV1UNy08ERmH3xQbgvXTXTFW7U7/8n0ATM3bsWObPn1/1vkuXLlXBTHIgA1tqZaZOnUpJSUm1ZZdccglFRUWUl5dz1113UVlZSUFBAQMHDkxbCC8vL2fcuHE5OprcOv300/MazNTmPDqXQb1EHLNjt1f7vj8w/tsmH9l4H5nUxgNHYoX/dsAPsEIowADgz1ghbUxY94LEhiKyC3AmVshJ+ClW2N8NC4j+KiJHh8LfycBmVW0bXpNCGi8Cr2CF61PDfgfX8XjOwwKu9lgh9mms0Hso8PVwfP2StjkX+A7QBStgPxRZ9nBIq0d4dQAeTNr+wpDfQiwgGwiURo6zBPg9VjDdF9gV+DEWCCT6KKzI8Pogw/F+hp3XdljwOIAt1+h+4BQR6RhZ/5fAY6q6BvtMPAUcAOwO/A14Mmn9qEzH8D3s/rgCu/bnAXeKyHfC8kOw+2I8sBd2ridmOK5UzseuXVtgenSBql4KvIYFzm1VtbuqzgTeCnlJ+F7I+xMp0j8TeDLk/ybsvr4xHOceWCF4eGT9RIBzFHbvvg08KyItQ0DyIBasFwLFWJCdyMN5wJFhWS/g9bAs4zUJ5/NO7J7bDfgH9pkjLG8NvAx8BHQDDsICqT+F5TsAz2LBRqdwzGmbkoX1p2CfpT3CubgwabXh2L3XJ+R5AjA1BL4AD7Dle6QzFsSlvGbp8pErFRUVPt3EphcsWEDUggULqq2TzgcfbP21WVpaSkVFBaWlpVRWVgJQWVlZNT9VHmbOnFnjvvLlvffeq5rOxzVKPo/Rc9VY7h+fbjrTuRYnVu3VHHjTsiQi0gkrBPVU1blhduJpMsATqvpymL9WRO4DhohIZ1VdAPwcmKOqb0WSfUtVE4HASyLyJPak9s002TgVe0p7s6rGgZkichsWGIyqw2HdEwqwiMgjWI3MUaHgvia0yRcsQEkYrqqLwja/Bz4JNUgA3wcOVNXlYflg4GMR2UtVEwHfvaqaKFivC+cu2QaskNcdmK6qsxMLVPV1rHBda6r6ZOTtdBF5EAtK71bVj0RkOvALYIyIFGIF15PCtqupHrSNEpGrsJqlf9TmGIDLgT9FapimichDWJD4b6ywPEVVJ0a2Kanl4f5RVeeE6c1pznOye4BhbLmXzgceUtV1KdZ9WVWfg6qaxr8CD6pqIlh7glCIF5EO2P2/r6p+EeYNxwK5I4F3sVqGr4nIe6EGL3FuNmA1kweLyJJQW7QYsrom5wKPRz6XfxORSyLrnwbEVPW68H6diFwLvCkiF4a8dQV+H87BJyJyezhPqRwV1r8qrF8qImMIQVmoXboMOFVVS8M240XkCuyz/VA43v2APcLnrCTNvupdYWGhTzex6c6dO1erkencuXO1ddI55JBDtqqRKS4uprCwkOLiYgoKCqpqEhLzU+WhR48evPLKKzXuLx++8Y1vVE3n4xoln8cePXrkNT8+3bSnXc08kNla1/B3dprlZdE3qlouIi9iT/Vvxp7835tpm/D+8Ax56ALMC0FMwpwwvy4WRqbXYjVAS5LmJX9yylJM78OW6s65keWJgnSXyL6i26czCmt2NwnYS0SeBa5MFILrSkTOwoK+Yuweb4XVQiTcjzXfGYMFrZ+p6hth251Cvk7BapoqsXOTrkYm0zF0A74bAr2EFmwpvHclqRalDsrqsM0TwJ9E5FismdiPsKAglap7R1XXhkAp+X5K3Dvdwt8PkgKqlkAXVX1dRE7Brs0tIlKKNR97RFVLRGQocA3wmIi8BQxVVc3imnTGmrhFzYtMdwOKRGRF0jpxrNZoH2Cxqq6NLJtLep3D+tHAL7q/DlgN2ZToyGfhPOwTpn+INYX7n4gswR423JFhn85VGTRoUNo+Mpn06dMHIGUfmaKiIgYOHJhV346ioiIuueQSxo8fz1dffZXVvmvqI5NOU+sjU5vz6FxDa47tiD2Q2VpZ+HsA1hQlWWWKeXdjT/efw5qtJDez6pri/WcZ0psP7CsisUgwUxzmN5SubAlQuoa/nyUt/zRMF4e/0fwlH9dWxxlqhIYBw0RkT+xJ9SjgXBH5NvB8hvzNU9WDk2eKSJeQzunA86q6QUT+iNU4JTyKXa/DsZqx+yPLBmNN6k4AylQ1LiJLSdNeNdMxYIXbiaqarhatDLvPUqkAWojIjqqaKCnsnWK9VPdPxuWqul5EJmE1Me9j/TMyNdXLVqIwf0BSoBzddwlQIiItsCaNT4rI26o6R1XvAe4JTdBuwJqTFVHzNVmANe2LKsL6uiTyNTvV/QIgIguATiLSJhLMdM1wnAuAjiKyUySYiZZWlmL9iU5U1XfSnIf3gX6h9uZY4AUR+SDUKtV0TZ1LG7yMHDky46hlffr0qQpokhUVFWVd8C4qKmL48OEp++SkytP2pDbn0Tm3bTyQSaKqi0NzmXFiQwbPw5qAZPIcMA7r6/BkoslVxFGhluAx4DisI/SJYdkirMDaLdKU7TmsX8nQ0Dm9G3AVFjA1lGtFZAawDhvU4KVIh+4XgNtF5DysMHk7FjQsTJuaHWcnEWmnqqtCOn2xYGg2sBpYD2wGCM2x2tYh322xPhVLgI0ichTWGb6qobKqrhCRp7EatKOI9KfA+tV8hXU2bxWaMO2abmeZjgG7hhND7cKbWG3M17FmTopdz7dF5Bzs3ijA+oiURNK7QET+inV0PxNrnlUbi4BUQ17fg9ViHE3dmituJXx2HsE+O1eo6gIR2RXrj/UisDNWaH9JVVdGakg2i0gvYEdscICvsEAucR5ruiYPAs+LyP1Yk70zseuaCGSexWqAhgJ/wc7r3kAvtUE63sI+57eJyJVhWab+aG8B5cCtIjIE6990ReQ8xEXkT8AfReQCVf1EbACRY4D/YYHOWcBzqrpURJZjwUvieNNdM+eysr0FDs657DSXfjFR3tk/tQHY6GSvYgWqZ7AmKCmpjSQ2HhvBKLlZGVgh9RRsBK3xWGfnN8K2s7F+B9NCJ/ZzVHUl1mfjROALrEP4A9ioSw3lIawJ1HysadY5kWW/wM7LLOBjYAVWA5HJK1hhdm44zuOwAHEKsAqrnViHBWx1FvoCXY9dsxXAEKxzeLL7sQEB/pkUgI0O232O1UitJdJ8S0SKRGR1qDEi0zGo6gtY/5FRWOF1IdacrW1Y/j52X1yMXedywnlWG03rl8BvgZVYf5tJtT8jjLFsywoRqRrfVFU/Bv6LFdofDcc2NLpOHV2I3RclIlKBFdx/gtVoFwCDgLKwbCxwnqqWYefkT9h5+hK7/xMDUGS8Jqr6KnZ+JmCfsdOAv2PBD6GW5XistvRj7Hz+C/hGWL4Jqx06BOuX8xTp+8dE1z8cC5j/jgVTGyKrJe7BZ0RkFfAJ1icq8Z3bD+tXthr4P+D6cByQ5po555xzrjoffjlHQu3N1cmjDEnSsK2NnWwZfrlLokN3YyciNwHfVNVT8p2XpiTcmxtU9Vf5zkuuich/sIEUGuTHUkXkImw45wMbYn855v8EXJ3V1LSsffv2XHXVNj2fcm57VC9VJx/F7qj2fX9Q/IomX0XjTctyIIx8dTk2nKprQCJSgD1Z/7SGVV2E2O+g/AQbsavJE5EzgalYrUh/rE9UTbWE27K/Y7EatlKsueCVVB9ZzbntVvv27Vm+fDk77rijBzHOuXrlgcw2CkOqjgBeIENzlBzu72zS95W5SCM/tridWIjVIF2a74w0FaEP2PexH1idke/85MgZ2PDHLbCg9seq+kk97q8L8Ag2QtkS7Edlb63H/TnXZFx11VVMmTIl39lwziVpjtXv3rTMOee2b/5PwNVZqqZlI0eOrApk+vbt29BZcq45qJcmXx8mNS07uBk0LfPO/s4555yrk06dOmV875xrPOLEqr2aAw9knHPOOVcngwcPplOnTsRiMTp16sTgwZlGLnfOudzyPjLOOeecqzMPXpxrGppLLUyU18g455xzzjnnmhyvkXHOOedcnUU7/I8cOTKPOXHOZdIcR3bxGhnnnHPO1UnyqGU1/UCmc87lktfIOOecc84518x5HxnnnHPOOeecawS8RsY555xzOZNoXnbMMcfkOSfOuSivkXHOOeecy8Ibb7yR7yw455o5D2Tcdk9EhorIlHznoyFtj8ecTi7PhYhMFJH7cpGWc845l0vxpFdz4E3LXJMjIr2Bl1Q1J/evqo7IRTq5JiL9gWtUdf9cp91Yjzkfks+FiJRg99fN+cmRc84557LhgYxrUCLSUlU35jsfjZ2ItMx3Hpo7EYkBLVR1U77z4lxzNXr0aAYPHlz1vry8nHfffReA1q1b89FHH7F69WoqKyvZtGkTmzZV/zi2aNGCgoICNm7cSKdOnejcuTMfffQRhYWF7L///hx++OEUFRUxevRolixZQseOHavtL7rf0tJSiouLKSoqqt+Ddq6Rao59ZGLxeHOpXHL5JCJtgRuA04GOwHzgIuAm4D2gK3A8cBtwCXCpqj4d2f4BYKOqni8iE4GWQCXwQ2AJcJOqThSRvYE5QGtgTdh8kKpOEpFDgDuAw4DlwATgVlXdXEPebwCOVdUTw/sy4D7gBOAIYC5wNnBwOJ6OwOPAQFXdJCJdwzoXAlcCewAlwIWqujikuTswBjgp7PafwG9UdVlknxOA74Z93gJcD7QC1oZtTgPeB+4J53IH4LOQj9cyHWMWx3w5cDHQGTt3D2O1QZtFZBRwgKr+KLJ9b2AKsCdWQ/0QcDTQBvgUuEpVX0yz7/aZjkFEfgRcC+wHLARuVtWHI9sfB9yMXY9K4FlV7Z+qpi7FccaBK4BzwvbfBfok1hGRO8N52ARsBBYAP8LO+z6R6xkDSoHrVPXByP4mAptU9YLw/hrgXOBUVf1ERC4ELge6hO2vUtUXwjn5HDhaVadH0vs38KKq3pTqXOaI/xNwdZbN78a0bNmSY445hvXr1/PWW2/lPA/t27dn+fLlVe87deq0VfB01113UVlZSUFBAQMHDkwZzNQ22Ems36ZNG9auXetBksuleok43o2NrfZ9f3h8UJOPbLxGxuXKeGBvrPBfhhVCEwZghcEfAzsBOwIXAE8DiMguwJlYwTbhp8Avw6s3MEVEZqvqmyJyMlZgbZtYOaTxInAncDJQDDwHfAWMqsPxnAf8ACuU3x/y+i/gUGB3QIFXsAJ/wrnAd7DAYxJWuE8ELg9jBeMe4f1DwIPAqZHtLwz7fA8L1BaS1LRMREZgwcK+WCB3QEgXETkWeDbDMZWr6iFpln2Gnbcy4BvA1DB9dzj+90Sko6ouCev/EnhMVdeEIPYp7JytxwKFJ0Vkv8j6Ub/PcAzfw+6lHwFvAAL8U0Tmq+q/Q7D6T2Ag8Desn9+RGY45lfOxe7EM+w7sk1igqpeKSE+SmpaJyFvh+BL30veAXYEnUu0g1KjdDXwNC06WhiDmKuAM4H9hv0+JyDdU9VMReRz7XAwKaRwIfAs4q5bH51yjsnHjRkpKSuot/WgQA7B48eJq7999910qKysBqKys5N13390q4Mg22Em1fkI22zmXX00+btmKd/Z320xEOmGBx0BVnauqcVX9VFU/Das8oaovh/lrsdqO74lI57D858AcVY0+qntLVR9S1U2q+hLwJNA/QzZOBTZgT++/UtWZWO3PBXU8rHtUdWZoBvcIFhgNU9U1qlqO1bhI0jbDVXWRqq7CCuvfE5G9Qy3S94HBqrpcVZcDg4FTRGSvyPb3qur0cJ7WpcnXBiyQ6g7EVHW2qs4FUNXXVXXXDK90QQyq+mTk2k3HgqwTwrKPgOnALwBEpBALPCeE5avDtapQ1Y2qOirk84jaHgNWW/EnVX1NVStVdRoW9J0blg8EpqjqxHCd16lqSbrjSuOPqjpHVTer6ldZbnMPFpAnnA88lOY67QI8D7QDjlfVpZFju1FV3w/H9g8sGP5ZZB8/F5HWkX1MVdUF2R9a7VVUVPi0T9d5ujFLl88NGzZstU5paWm1YGfmzJkp00m1fkJlZSWlpaWN4rr4dPOYdjXzGhmXC13D39lplpdF36hquYi8iD3VvxkLNu7NtE14f3iGPHQB5qlqtNp0TphfFwsj02uBzUm1C2uBwhR5TJ7ehy2PQOZGls8Jf7tE9hXdPp1RWLO7ScBeIvIscKWqfpHFtmmJyFlYcFWMfS+0AqKB5f1Yk6sxWND6maq+EbbdKeTrFKAD1tyrEGuCV9tj6AZ8V0SijdxbAImmc12xoGpblNVhmyeAP4Var5lYjVG6QO3bWDBzuKquj8zvBowVkT9H5iWa1qGqr4vI58CZIvIoVgP0qzrktVYKCwt92qfrPN0YJJp2JXTq1AnYks/DDz+ct99+m3g8TiwW46ijjqpaN7FOcXExBQUFVTUyPXr02GqddOsnFBQUUFxc3Ciui083j+lca459ZDyQcblQFv4eAHyUYnllinl3A2NE5DngIKwGIKprivefZUhvPrCviMQiwUxxmN9QurIlQOka/n6WtDxRS1Uc/kbzl3xcWx2nqq4BhgHDRGRPrLZiFHCuiHwbqwlIZ56qHpw8U0S6hHROB55X1Q0i8keq1zg9il2vw7GasfsjywZjTepOAMpUNS4iS0lTh53pGIB5wMRQq5NKGXafpVIBtBCRHSM1LXunWC/V/ZNxuaquF5FJWC3J+8B7qvpBmu2fDeu8IiLfV9X3w/x5wPWq+niGfd8d9rEa2Iw1j3SuyWrTpg377LMPe++9N61bt6ZNmzbMmjWLVatW0aFDBz799FPWrLHujsk1HACxmH2NxONxWrRoQcuWLWnVqhWtWrVi48aNHHbYYfTp0ydjZ/+ioiIuvvjijP1fioqKGDhwYNZ9ZKLrex8Z5/LHAxm3zVR1sYg8AYwLQwbPo3ofmVSeA8Zh/SGeDM2too4KtQSPAcdh/QpODMsWYQXWbpEmSc9hHf2Hhs7p3bD+CHdvy7HV0rUiMgNYhzVre0lVPwcQkReA20XkPKyAfzsWNCxMm5odZycRaReaqyEifbFgaDZW2F2PFXgJneXbpkkrk7ZYM9MlwEYROQrrDF/VtkJVV4jI01gN2lFYrUxCO6wv0pdAKxG5Cus/klKmY8Cu4cTQJ+VNrDbm61gTNMWu59sicg52bxQAR4bmZYn0LhCRv2KDD5wJvFvL87EISDXk9T1Y36ijqaHflar+RURWA/8Skb6q+h+sNusGEfkEC3RaA98Elqrqx2HTB4FbsYEe7tcaBqpwrrG77rrrtprXq1evnO8n1UhlUUVFRVkFJ7UJRGq7vnP51hxHdvE+Mi5XBmCd1F/Fnow/g41olVIooI3HRhhLblYGVkg9BRtBazw2MtkbYdvZwF+BaSKyQkTOUdWVWMf6E4EvsA7hDwCjc3FwWXoIawI1H2uadU5k2S+w8zIL+BhYwZZ+H+m8gg1gMDcc53FYgDgFWIXVTqzDArY6C/2Jrseu2QpgCNaRPtn92IAA/0wKwEaH7T7HaqTWEmm+JSJFIrI61BiR6RhU9QVs0INRwFKs2d0YQoAWajdOwZq5fQGUE86zqlZgzRV/C6zE+qRMqv0ZYYxlW1aIyIeJmSHY+C9Wy/NoOLah0XWiVDXRHO85ETlBVe8F/oCdx+Uh79dizewS2yzHmrEdit33zjnnnEvDh192eRNqb65W1e5J8ycSGcK2sYsMv9xFVT+rYfVGQURuAr6pqqfkOy9NSbg3N6hqvfVdCUNGH62qJ9W0bo74PwFXZzUNvzxy5MgGyolzzUq9dGZ5J3ZXte/7I+IDm3ynGW9a5vIijHx1OfDnmtZ1uSUiBdgQy5/WsKqLCMMh/4TaD/dcm33sgdVI1Xsnf+fq2zHHHJPvLDjnmjkPZFyDE5ErgBHAC1i/g/re39mk7ytzkUZ+bHE7sRCrQbo03xlpKkIfsO9jP7A6o572MRr7EdkHVdU7+bsma+TIkUyZMiXf2XDOJWmO1e/etMw557Zv/k/A1VmqpmXRQKZv374NnSXnmoN6afI1LalpWS9vWuacc84555xr7Cqb4e/I+KhlzjnnnKuT5M783rnfOdeQvEbGOeecc3XmwYtzTUPca2Scc84555xzLv+8RsY555xzOTF27FgWLFhAmzZtOPTQQ/OdHedcRHMc2cVrZJxzzjm3zcaOHcv8+fOprKxk9erVvP/++/nOknOumfMaGeecc85ts/nz51d7v3r16jzlxDmXiveRcc4555xzzrlGwAMZ55xzzjnnXJPjTcucc84555xr5rxpmXPOOedcloYMGcKNN96Y72w455opD2Sca0JEpExEflEP6cZF5NgMy+8SkTtzvV/nXPO3du1aD2acawTiSa/mwJuWOedqpKoD852HuhKRG4BjVfXEfOelJiLSFZgLdFHVz/KcHddEDRkypGp65MiReczJFmvXrs13FpxzzZAHMs65ZklEYkCLfOfDuYYUDWIS77t06cKCBQvo3LkzgwYNyrj95MmTmTVrFt27d+db3/oW7777Ll988QVr1qxh5513Zv369axdu5bDDjuMPn36ADB69GgWL15c67wB9O7duyqd2igvL6e0tJTi4mKKiopqvb1z26Pm2EcmFo83l8ol55o/ESkD7gFOAI4EyoBfqeqbInICMAI4ENgE/Au4TFUXh21/BlwP7AOsBaaq6nlhWRwYBPwS+BrwIdBfVT8OyycCm1T1gizXLwTGAqcBFcC1wATgRFUtyXB8MeDmkG4h8CVwu6r+JSw/FRgFFAElwKfAN1S1dyRfVwDnAAcDI4FhWDPa9WE3h6hqaYY8tAVuAE4HOgLzgYtU9TURaQPcGpbtBLweznF52LYEeElVb46kFwe+raqvh9qhbwNvAxeEVf6qqteHdVcC7bDrEwduU9Wb0uU1R/yfQDOSKliI6tKlS9pgZvLkyUyfPj3rffXu3ZuPPvooqyCmpnRqE8yUl5dz1113UVlZSUFBAQMHDvRgxjU39RJx/Ds2vtr3/Xfi5zf5yMb7yDjX9AwALgN2AV4EJoX5XwGXYoXvrwN7A38CCAXwB4FBqloIFAP3JaXbHzgD6IAV3v9SQz4yrf+nsI+vhbycSna1I98DzgOODPnshQULiMh+wFNYsLYr8GfgwhRpnA/0A9pigcwIoERV24ZX2iAmGI8FiSdgQcUPgIVh2RjgqPDaF1gKTBGR2tT8fAcox67PD4ChInJMWHZo+Ns95LW+gxgqKip8uplNZ7JgwYK0286aNSurNBJmzJjBkiVLarVNunRqc4ylpaVUVlYCUFlZycyZM7Pe1qd9uilN51qcWLVXc+BNy5xreu5W1Q8BROQ+4AoR2UVVX4+ss0hE/oDVgiRsBL4mIu+p6jLgtaR0R0VqFiYCD9WQj5Trh0L92cDJkdqgocBPszi2DUBr4GARWRK2Tzzu/RkwTVUT+XpBRP4OdE5K44+qOidMbxaRLHZrRKRTyGdPVZ0bZn8alhVgQVZfVV0Q5l0BLMMCrv9kuZvZqnpXmH5LRN4DBHgj64zmUGFhoU83s+lMOnfunHbb7t2716pGpmfPnjmpkenZs2etjrG4uJiCgoKqGpkePXpkva1P+3RTmnY180DGuaZnYWR6TfhbKCL7Y7UPhwJtsKrptgCqulZETgEGA7eISCnWZOuRDOnW9G2abv0OQCtgXmR5dDotVS0JQc81wGMi8hYwVFUVaxJXlrTJXLYOZJLXqY2u4e/sFMs6AjuGfSbyu1pEFgNdyD6QWZj0Pptz7VydZdtHpl+/fgC16iPTp0+frPvIpFKXPjJFRUUMHDjQ+8g4V0vNsR2xBzLONR+PAk8AP1HVVSJyGjAlsTD0TSkJNSY/AJ4UkbcjtRe5shSrWdkXSKSddUlDVe8B7gnN4W7AmpMVAQuA7yet3jVFEpU1vM+kLPw9APgoadkSrPleV7bU0rQFOmFN68D6A+2c2EBE9q7FvmubV+e2MnLkyG0atSwRzCRkEyQMHjwYqLl/zl577cXy5cvp0aPHVvupraKiIg9gnHMeyDjXjLQDVgIVIlIEVJUqRGQP4FisI/pKEVkRFm3OdSZUdbOIPALcICL/wzrZ35LNtiLSC6v1mIYFDRWRPD4KXCciZwGPA72BHwFaQ7KLgCIRaaWqG2rI+2IReQIYJyL9sZqk/cKyT0XkAeAmEfkIWAHcDnwc8gvwX6CfiIyuzXFHLMGCmQMAH37Z1UljGXI5KhaLcfnll+c7G85t15pLv5go7+zvXPPxK2wkrAqsFuPxyLICbJSxMhGpwEYUO09Vy+opL5djHdpnAzOwQQniWHCSSVtsoICl2IhlJ2Ed91HVT4EzgeuwIOI3bD1gQSqPYzUmi0RkhYh0q2H9AcB7wKvYuXwG2DMs+w0WOL0Tjm8v4Aeqmgi2xgAzsZqo94DnsshfFVVdh43w9reQ12G12d65xigWi3HrrbfmOxvOuWbIh192ztU7EemO1Vx0VtXPc5juNdiQzr1zleZ2yP8JuJxI1bSsMdYOOdcE1EvVycux+6t93x8f/2WTr6LxpmXOuZwTkWKsFuNtrPP/GODfuQxinHPOObd980DGOVcfWmM/3NkV+3HHfxN+80VEnsd+FHIrqtq2vjMmIncBv0iz+KDEkNLOOedcc9Ic+8h40zLnnNu++T8BlxPetMy5nKmXiONfsYnVvu9PiPdv8pGNd/Z3zjnn3Dbbcccdq70vKPAihnONSZxYtVdz4N8yzjnnnNtmw4cPrwpmCgoK+Na3vpXnHDnnmjvvI+Occ865nBg+fDgAU6ZMqWFN51xDa46/uOw1Ms4555xzzrkmx2tknHPOOZczt9xyCxUVFbRs2ZK+ffvmOzvOuSBe0Dz6xUT5qGXOObd9838CLidSjVpWWFjIsGHD8pAb55q0eok4/tnigWrf99/ffG6Tj2y8RsY555xz2yRVEANQUVHRwDlxzqUTb/Jhy9a8j4xzzjnnnHOuyfEaGeecc84555q55thHxmtknHPOOeecc02O18g455xzzjnXzMWbYfVFMzyk5ktEzhaR9/Odj20hIptEpHe+89FcicjzInJlvvPhto2I7CEi80Rkt3znxbmaTJgwId9ZcM5tp7xGJoNQ4H5JVRvFeVLVh4GH852PxkZESoDjgH6q+lhk/pHAW8A8Ve2an9zlRjjGbwEbsB/n/RJ4A7hDVf+bWE9VT27APJUB16jqQ/W4j67AXKCLqn6W632nS78RuAGYpKrL8p0R52oye/bsjMvLy8spKipi8uTJ/O9//2PTpk1Vyzp06MBPf/pTioqKKC8vp7S0lOLiYoqKiuo721lpjHlyrq7iLZpfH5lGUUCvDyLSUlU35jsfjUE+zkUe9jkTuBB4LDLvwjC/TQPmoz7dpKo3A4jIvtjxvSUiP1XVp/ObNZcrIrIrcC7QI89Zca5G5eXlNa4zbty4tMuWLl2acnnv3r3p06cP5eXlvPrqq6xatYojjjiCPffcM2eBRU1ByrRp03jqqaeq3l9yySUezDiXQ7FY7HvAz4BO8Xi8bywWE6BdPB5/Ods0mlwgIyJtsaeVpwMdgfnARcBNwHtAV+B44DYRuQS4NFrIE5EHgI2qer6ITARaYk+4fwgswQqLE0Vkb+B5oIWIrA6bD1LVSSJyCHAHcBiwHJgA3Kqqm2vI+wnACOBAYBPwL+AyVV0clpeEY9gf6A3MA36nqs+H5f2xp9D717Cf3sBLwC+B4eE8FYpIETAaOBb7EbwpwG9VtSJs1xEYCXwP2BX4FDhLVWeJyO7AGOCksJt/Ar9JPDEOT8gnAN8FjgAuEJHngDuBvkAFcF1SPg8D/gJ8HdgMfAycqqrLMx1fGk8BA0WkWFVLRaQQOAM734Mi+9wBuBLoD3QCPgQuV1UNy08ERgH7YbUf76nqiWHZZcBvgA7AKuyJ+dCw7H7gxHDe5gM3q+ojkf2eGtItAkqAT4DDVLV3WL478Afs/LYGXgF+rapfpDpYVZ0HXCMiewF/EZG/q2o83EMvRQKeI4Fx2D33PvACMCBRQyUibYAbw7naBZiGfWY+Dct/BlwP7AOsBaaq6nkiMiUcy30ichfwpqom7o0qItIyHNfZ2OdsNPCrcH4mhnW+DdwKHIR9nsYBo1U1HvIMMEtE4sBtqnpT0j56Y/f72dj17oDdn+eraoWIxICbsc9DIVabdbuq/iVd+iIygvDlCnwB/EVV7wj764rV4pwLXA10Af4DnKeqC8M6Kb+nVPW1mu5B4PvAfFWtuYToXB6Vl5fz17/+tV7SLikpAeDVV18l8cPd8+fPr1peUFDAwIED6xxYlJeXc9ddd1FZWZkyrfLy8mpBDMBjjz3G7373uzrtz7nGoLIRjVoWi8V+DVwO3AecGWavA/4MHJ1tOk2xj8x44EjgBKAd8ANgYVg2ADsBu2CF7vHABYkNRWQX7GTdG0nvp1ihZzcsIPqriBytqp8DJwObVbVteE0KabyIFTT3BE4N+x2cRd6/Ai7FCjZfB/YG/pS0zvlh3q5YoezpUHCqrRbAKViwtYeItAZeBj4CumGFxn0S+xeRAuD/wn6PCH/7YwEIWJO29thT4h5YYfHBpH1eiJ2HQuAZLNg7IOzrECxYbBFZfyxWsN4N2CNsuyHkZ4iIrMjwSn6Etz7k8fzw/izgVbbcGwnDQz76ALtjwddUEWkflj/AlnuoM1YARkQOxIK801S1EDg4nK+E14FvhPN2IzBRRA4K2+6HBVo3heVjIvkkFLT/jgWXPYF9sfNeFQhl8GjIZ/fkBeHJ/j/COrsBv8bu8ah7ga8BR2H389vAsyLSMgQ5D2IBfCFQjH3hoKp9gXLggvDZ2CqICa7GPkdHYffdPuH4Enk8KORxFPa5OBX7jJwTVjk0/O0e9lMtiIlogQWBh2JB22HAZWHZ94DzgCPDcfTCrlem9D/CAv5C7L6+VUS+n7TPfsB3sPO/M3bdEzJ9T9V0Dx4e9t8goj9Y6NM+XZvp0tLSqiCjPsyYMSNt+pWVlZSWlmaVz1TTpaWlVFZWVksrus7MmTO32ufy5cvzfs59evuabuauAE6Mx+MjsQedYA+0tyrPZNKkamREpBMWePRU1blhduLJMcATqpqojlorIvcBQ0Sks6ouAH4OzFHVtyLJvhVpZ/+SiDyJFeDfTJONU7HC9s3hifFMEbkNK4SPypR/VX098naRiPwBK8RE/V1VXwzTD4vIxSHfIzKlncZVqroSQETOBGKqmqgVWSci1wJvisiFwDcBAToktgE+CNvujT0lPjBRWyIig4GPRWSvxFNo4F5VnR6Wf4U9IT9VVReFeVcBP47kbwP2VL+LqpZh/VkAUNWRWOBQG/cCL4jI9dhT/+ux4Iuw/xhWuD1VVUvD7PEicgV2XR8KedoP2CPkuySstwmIAQeLyDxVXZGU3/GRfDwqIr/DatU+woKqt1X1b2H5v0TkGexJPti5/yZwoqp+FfJ6JbBURPapoe9GYtnuKZadBqwG/hju1ekiMoEQJIhIB+ze2jdR8yMiw7EvlyOBd4GNwNdE5L1Q+/Zahrykci4wInG+wz0QDaYuAR5X1WfC+49F5M6w3QO13NcQVV0NrBaRv2P3M9g1bY1duyWhBnRxpoSS+t68HGoXT8AeeiQMV9Wl4bgeITw0qeF7Kpt7sD1W49cgCgsLfdqn6zRdXFxMLBart2CmZ8+e1WpkogoKCiguLq51nhPTxcXFFBQUVNXIFBcXV1unR48evPLKK9X2ud9+++X9nPv09jWda41s1LJCrLUC2INcsFZSG2qTSJMKZLBmYwDpehaWRd+oarmIvIg1KbkZK2jcm2mb8P7wDHnognUej36zzmFLoTQtEfkmFpAcivXbiAFts8jPPjWlnUIlW24QsKfhRSKyImm9OPYkviuwOBLERCWObW5k3pzIskQgUxZZ3hHYMWledHuw63It8LqIbMQKccNVdRN1oKozRGReSLMTMBULIhI6YOd7SmhGlNCSLef4h8BQ4H8isgS4R1XvCM3VzgYuxppTfQDcqKovhNqsG7An9Hti53TncA7AntjPS8ruPLac127YufoiBOQJ67FAL1Mgk8j3lymWdQbKk+7VaD66hb8fJO23JRZcvi4ip2BB+i0iUoo1ycqmpiiah6p9quq6cF6jeTheRE6PzCug+r2bjc2qGk13DfYliaqWiMhQ4BrgMRF5Cxgaacq1ldCM8ELs/MaAndi6hixa21e1PzJ/T2VzDy7HajKda9SKioq4+OKLM/aBAWjRogWxWKxaJ/9M2rRpQ58+fejVqxcHHXRQvfSRKSoqYuDAgWnTKioq4pJLLuGxxx5j+fLl7LfffgwYMKDO+3PObeXfwBDglsi8y7AWT1lraoFMWfh7AKmbXlSmmHc3MCY8UT2IrZtDdU3xPlFwTJXefGBfEYlFCojFZFfwehR4AviJqq4SkdOwfio15ecfWaSdLJ6iADtbVQ9OtXLo49JJRNqpavLT4MSxdSU8WcaOOboMqp+vpVhU3ZUtQU/XaKLhafWAsP+vY83M5gITQsFzaNqjg4dUdWCK+fdgzXpuVNXNSQX0pViB80RVfSdVoqr6PtAvPDk/Fqvh+UBVX1bVp4CnRKQVMBB4JvRt+TEWJJ8EfKSqlSKiWAEYYAFb+hYlRP9rzgv52k1VU91zmfQL6c9KsWwBFrxG79Xk/QIckBQEVFHVEqBERFpgzaOeFJG3VXUOqT8fqfIQbUq2E1sCvEQeJqjqoOQNg9qej5RU9R7gntBc7gasqV9RqvRF5BjgNqwG5u1wHz3BlutZk7LwN9X3VI33IDAdC6ida/SKiopo06YNa9euTbvOLbfcknZZNumfc845W83LhaKiooxpFRUVeZ8Y16zEG1EfGay5+5RYLHYhUBiLxWZhzepPq00iTSqQUdXFoUAxTqzj+zysGVAmz2Gdh8cDT+rWHcmPEpGzsNGujsM6PZ8Yli3COvt3izQReQ7r+zFUREZhT5SvwgKmmrQDVgIVYh3vh6RY50digwKUYM1ThC39BbbFs9hT9aFYB/vVWB+dXmqDISjWlOg+EbkUK3D1BJaq6uci8gJwu4ichxXobgeejzQrqyYU/h4BhovIDKwDV7WmYiGtF0N/pBVY863NYfsR1K053d+w4Oq/KfIUF5E/AX8UkQtU9ZPQKfsY4H/hmM8CnlPVpSKyHCvobhaR7ti1/nc4lpVYzUsldl03YYNFFIR781DsnIMFsNeKyE+BJ7F+FT/CzjfYuX8f+LOIXK+qX4oNvHCCqj6a6iBFpAsWPPXHhp1O1bbjWay/z2AR+TPWr+eXbDnHi8M1GiciV6jqgtCv5rtYP7CdsWDuJVVdGanN2xz+LqLmmoMHgd+LyCtYDcatVO+bNw54VUSmYjVocayPS0dVfRU7p5VhP3UaHllEemE1XtOwfmoVkWNIlX67sHwJEBcbqOFk4PFs9pfpe0pVP810D4bPwj+x5mZdVLW2NVPONbjrrruOIUNS/TtzzrnU4vH4wlgsdgTWb7UIK7tNi8fjtXqA2bhay2VnADay16tYgeQZrDlPSmojiY3HOv8mNysDC2BOwZpzjMc6Nr8Rtp0N/BWYJtbB/JzQ9OokLNj5Ait0PICNxlSTX2GFzwrsiXCqgtF4rCnPSmyUrzMiQVSdqepabDS3g7DOVCuxUdO+EZZXYqOLrcPO7wqs/06i6dsvQr5nhe1XYP0YMrkcq2H5GAsUprClAEnIz39FZA026tMjbF1jViuqul5VX0oRsCZcj90zz4jIKmz0sIFs+Sz0w/pprMY6818fCtStsOuxEDv2y7Brsx6YhHWS/xSrgTiISF8StRHAfoJ18l4J/DYc51dheWLUvFg4HxVY/5veSXm/VkQqQr7/jY1ud7SqPpnmXKzA+l2cjd3fdwITE/sNLsSuaUnY7/9CXuPhnAwCysKysdjIXGVh25uBX4jIchFJjKw3VEQ+jKR/KxYUTcNqKhYCn0eOfQb29OWKsGxxyGPHsHwd1lTwb+EzOCzVsdagLTaoxVKsCd5J2HVOl37iMz0tbHMmUNvhrTN9T2W8B8O9+yCRASGcc865bRWPVX/lW9y8HY/HH4/H42/VNogBiNXniCONRXgqerWqdk+aPxHYpKoXpNquoUnS0Lmu+RKRvwEVqvqrBt7vrcA3Nf0oY/W9/7ZYUHWcqqYbUGO7JyJ7YIHUYVr/P4rZ/P8JuHqXqUZm5Mjajtvi3HavXsKMv+/2SLXv+x8t+3newplYLDafNP9/4vF41u1Hm1TTsroQ+z2Ry7EmNs7lhYj8ABvydxVWS3IGNhJcfe/3JKyW5QusmdivgAZr9C0iu2HVxv/CBrgYg9XMpOsf4oAwity+Na7onHPOZamR9ZH5RdL7vbDyesom9ek060AmDGk6AutEfk8D7O9s0veVuUhVH87hvlanWfSaqp6cq/24nPkO1lSvNfb7KwNVtVYjc9RRT6yZVDusSdcorClcQynAmqA9jg3lrMAPVHVjA+bBOeecc41IPB5/NXleLBYrwfrLJv/GYlrbRdMy55xzafk/AbfNpk6dSklJyVbzCwoKGDGiLuO2OLddq5eqkyc7/q3a9/0ZS85qVFU0sVisPVAWj8d3yXabZl0j45xzzrn616dPHwBmzJjB0qVLq+Z7EOOcSyUWi92YNKsNNvjW87VJxwMZ55xzzm2zPn36VAU0U6Yk/0Sacy7fGlkfmeQfkl+DjQBcq9FrPZBxzjnnnHPONZh4PP7LXKTjgYxzzjnncqK8vJzS0lIqKiooLCzMd3accxH5/u2YWCx2fDbrxePxl7NN0wMZ55xzzm2z8vJyxo0bV/X+kEMOyWNunHON0Pgs1okDxdkm6IGMc84557ZZNIgB+OCDD/j5z3+ep9w455LFY/mtkonH491ynWZBrhN0zjnnnHPOufrmNTLOOeecc841c5WNaNCyWCzWDrgBOA7oQOS3c+LxeFG26XiNjHPOOeecc64hjQMOB24EdgN+DZQDY2qTiAcyzjnnnKsXt9xyS76z4JwL4gWxaq88Owk4Ix6PPwNsDn/7AefUJhEPZJxzzjlXLyoqKvKdBedc41QArAzTq2Ox2C7AQmD/2iTifWScc84555xr5vL9OzJJ3sf6x/wLeA1rarYamF2bRDyQcc65CBHpD0wA1oZZy4CngKtU9SsRuQG4BliPjXe/BHgAGK6q8ZDGDcD1wPWqemMk7fuAHVS1f2TeCcDvgCOx7+TFwJvAn1T1v/V1nM41lCFDhtCtWzfWrFlD27ZtWbVqFV9++SXxeDzl+q1atWLnnXdm9erVdOvWjQEDBlT90GZxcTFFRVn3A3bONV4XsqWD/+XACGBX4NzaJOKBjHPOba1UVfcHEJFvAC8Aq4DrwvISVT1RRGLAscA/gTJgYiSNL4Hfi8g9qroo1U5E5JfAWGzklgGqulBEdgP6Aj8APJBxTUJ5eXnG5XPnzgVg8eLFNaa1YcMGNmzYAMDs2bMZO3YsCxYsoLKykoKCAgYOHOjBjHN1kO/fkUkyLx6PbwaIx+OLgQvqkoj3kXHO5Z2IlInILyLvu4pIXET2EZETRWS6iKwSkaUi8lJkvTYi8kcRmSsiy0RkqojsH1n+MxGZKSIVIvKFiEyqbd5U9T3g38BhKZbFVfU14ENAkha/B7yCjciS6pjbYqOzjFDVP6jqwpDmMlWdpKrX1zavdRHtw+DTPl3X6dLSUupLIogBqKyspLS0NO/H69M+3RDTzdyiWCw2LhaLHbstiXgg45xr7B4A/gzsAnQGbo4suxf4GnAUsCfwNvCsiLQUkTbAg8AgVS0EioH7arNjEYmJyGFYO953UiwvEJHvAj2BWSmSuBI4V0QOTrHs6HBMf6tNnnKtsLDQp316m6eLi4upL507d6agwIorBQUFFBcX5/14fdqnG2I61ypj1V95dhLWJ+aRWCw2NxaL3RqLxb5e20S8aZlzrrHbAOwH7BGaaJUAiEgH4OfAvqr6RZg3HLgC62/yLrAR+JqIvKeqy7AOhdnoJiIrsD4wS7E+MyMjy48Ly3cCWgF/Be5KTkRVPxaR+4FRwClJizuGvwsSM0TkUixQKwAWqmr3LPPrXF7V1NSrNn1kCgoK2GWXXbyPjHPNWDwenw5MB66MxWLHAWcBL8disYXxePyQbNPxQMY519j9EBgK/E9ElgD3qOodQLew/AORaq26WgJdVPV1ETkFGAzcIiKlwO2q+kgW+5yb6COTxquhj0wr4LfYuPc7YYFTsuuBT0On/qil4e8+wKcAqnoncGdoZnczzjUDbdq04aKLLsq4ztSpU5kxYwY9e/akT58+Wy0vKiryAMa5bdTI+shEfQzMxH4Q84DabOiBjHOuMagAdo683zsxoarvA/0iHetfEJEPgBlhlQNUdUmqRFW1BCgRkRZY5/knReRtVZ2Ti0yr6gbgVhHpAwwHfpNincUichtWK/NeZNGb2AACP8ODFteMXXfddTWu06dPn5QBjHOueYrFYrsCZ2AtK47CBtW5Dfi/2qTjfWScc43Bf4GzRKStiHQErg3zC0TkPBHpEIY2Xg5UAptVdTHwCDBORDoDiMiuIvLjkM4eInKGiOyiqpuBFSHNzfWQ/2uAS0Rk3zTLR2NNyfomZqhqBVabM1REfi8ie4Zj2AU4vB7y6JxzbjsWj1V/5dnnWHOyR4DO8Xj8x/F4/LF4PL6+Nol4IOOcawyuwQKMhVgfmEcjy/oBH4vIauxJzfWq+mpYdiHWyb5ERCqA/wE/wfq2FACDgLKwbCxwnqqW5TrzYeSy17BamVTL12HH2CFp/n3Aj4ATgZkhn//Fgp4zcp1P5xrayJEja17JObc92i8ej58Yj8fHx+PxFXVNJJaus51zzrntgv8TcDkxZMiQreZ5IONcndRLfcn9xU9W+77/ZekZ+a+X2UZeI+Occ84555xrcryzv3NuuyIi3waeT7N4hKqOaMj8OOeccw2hEfSLyTkPZJxz25XQn6VtvvPhXHMTi8XS/jaMc87VB29a5pxzzrltduuttxKL/E7FMccck8fcOOeSxWOxaq98ipkLY7HYy7FY7IMw7zuxWOyntUnHa2Scc845lxO33norAFOmTMlzTpxzjdyNwPeAO4C7wrzPgDHAY9km4jUyzjnnnHPONXONqUYG6A+cFo/HH2XL6JlzgeLaJOI1Ms4555zLieuvv56vvvqKgoICvvWtb+U7O865xqsFsDpMJwKZtpF5WfEaGeecc85ts0QQA1BZWcl//vOfPOfIORcVj1V/5dnzwOhYLLYjWJ8Z4CagVu1SPZBxzjnn3DZLBDEJlZWVecqJc64J+A2wJ7AS2AWridkXuKo2iXjTMuecc84555q5eEH+q2EAYrFYC+BM4OdAOyyAmR+PxxfVNi2vkXHOOeecc841iHg8vhkYHY/H18fj8cXxePydugQx4IGMc8455+rJ0KFD850F51zQyEYtmxKLxfpuayLetMw555xz9cL7yTjn0mgNPBGLxf4DzGfLyGXE4/Fzs03EA5kGICJDgW+p6jZHnk3F9njMrvEQkTjwbVV9Pd95cc455xqDxtJHJpgRXtvEA5kURKQ38JKq5uT8qOqIXKSTayLSH7hGVffPddqN9ZjzRUTKsHP9UL7z0pyISFfsB7S6qOpnec6Oc84557IQj8eH5yKdZhfIiEhLVd2Y73w0diLSMt95aAr8fsofP/fONQ9Dhgxhxx133Gp45qhYLMYBBxzAgAEDGjBnzm1n8t8vpkosFjs+3bJ4PP5y1unE4/Ga12oERKQtcANwOtARa093EfbjOe8BXYHjgduAS4BLVfXpyPYPABtV9XwRmQi0BCqBHwJLgJtUdaKI7A3MwdrurQmbD1LVSSJyCHAHcBiwHJgA3Kqqm2vI+w3Asap6YnhfBtwHnAAcgT1RPhs4OBxPR+BxYKCqboo8db4QuBLYAygBLlTVxSHN3YExwElht/8EfqOqyyL7nAB8N+zzFuB6oBWwNmxzGvA+cE84lzsAn4V8vJbpGLM45suBi4HO2Ll7GKuh2Cwio4ADVPVHke17Yz+KtCfWbvIh4GigDfApcJWqvhjWvQm7jkeq6joR+RrwNnBmYp0U+TsdGArsD6wHxqvqsEQtFXA3cDk2vvmzwNdU9YeR7Y8H/g7sFc7nS8D5wI1AIfB/2D24WkSmAKcCG4BNwJuqepKItAFuxe7pnYDXgctUtTxNni/Dxl3vAKwCJqnq0CzvjzYhb2dg47VPC/n7NCxvCfweOA/YG1gczvETKfJxGPAX4OvAZuBj4FRVXS4iO4Q89Ac6AR8Cl6uqhm1jIZ+/xoZbXAncpqp3hnvmO8C7wDnAu6p6soh8O5yng7B7ZxwwWlXjIrISG7pxLXaf3KaqN0WblolIR+AZ4CNgYDj+P2CfldbAK8CvVfULEbkYu98PjRzvfsAsYD9gUTj2H4VtvwCGqurjkXvnXuAK7FeLHwSGJAIyESkCRgPHhvxOAX6rqhVheUdgJPA9YFfsXj9LVWclX4ccahr/BFyjNnXqVEpKSrY5nQMPPNCDGeegXiKOu3pOqfZ9P3BG37xFNrFYbG7SrI5YmfSzeDxenG06TWnUsvHAkVjhvx3wA2BhWDYA+DNWQBkT1r0gsaGI7IKNV31vJL2fYoX93bCA6K8icrSqfg6cDGxW1bbhNSmk8SJW6NkTK5gOAAbX8XjOwwKu9ljw8DQWZByKFRB/APRL2uZcrKDXBQvCos2UHg5p9QivDlghKurCkN9CLCAbCJRGjrMEK8y2wQqZuwI/xoIZRORYEVmR4fVBhuP9DDuv7bCgYwBbrtH9wCmhEJfwS+AxVV2D3adPAQcAuwN/A56MrH8D8CUwNhTYnwDuyBDEnAxMCtt1AA7EfmE2oStWmD8AC1LuAU4Wkb0i61wAPBLyB1Zo7Qscgp3/A7ECK6GfUDlwQTjPiWBzDHBUeO0LLAWmiEiLFHk+ECvgnqaqhVjQ+39Jq2W6P+4Fvhb2tScW6D0bqZm7GfgF8BPsGh0HzE7ORzAWeAH77OyB3VMbwrLh2PXtg12rCcBUEWkflg/EzvvF2P11WMhLwnewz3UX4AwROQj4BzAK+5I7FbgUC3TAPi8A3cO5vSma0XDe3gT+oaoXYIHX37HCe0/svFcAj4RNHgb2E5EjIsmcjzU1nYd9bo8AeqhqOyzg/zCy7r5AEVAMfAu7J34f8tIaeBkLqLphgdk+wJ/C8gLsmu4a9rErFhBWUI8qKip82qe3eXrGjG1u6g7A3Llz834sPu3TjWU61+IFsWqvfIrH492iL6wMfwtwZ23SaRJNy0SkExZ49FTVRASXeJIM8ISqJqqh1orIfcAQEemsqguwH9yZo6pvRZJ9K9Jf4SUReRIrNLyZJhuJJ+o3q2ocmCkit2GFuFF1OKx7VHVmOIZHsBqZo0LBeI2IlACCFawShqvqorDN74FPQg0SwPeBA1V1eVg+GPhYRPZS1UTAd6+qTg/T68K5S7YBK4B2B6aralVhNnSc3rUOx4qqPhl5O11EHsSC0rtV9SMRmY4VpMeISCEWeJ4Utl1N9UL5KBG5Civs/SPU6pwFTAfewJ6aZ2p7+WvgLlV9NrxfhdWGJGzEnqIn2kHMEZF/Y4XYkaFQ/mPsqXrUVaq6ElgpItdhgcJAVd1q2J5QaD0P6BvuUUTkCmAZ0Av4T9Imm7AnNAeLyDxVXQG8lbROuvtjA/YZ2FdVvwjLh2O1BkeKyBvAIKCfqiaC0c/CK5UNWGG9i6qWJfIRalsuw2pnSsO648NxnYpdw18Dt0Q64S8Nr4R5qnp7Yj8icgnwuKo+E+Z9LCJ3YkHbA2nyl/CdsL/fqWric/TN8DoxcX1F5EpgqYjso6qficijWPDyTggqzwvHlTj2tsBBIvIfVZ2ftM9K4Pequg67b/6A1VCNwGo8Y6p6XVh3nYhcC7wpIheGfAnQIdxHAJkeDuREYWGhT/v0Nk/37NkzJzUy3bp1y/ux+LRPN5bp7Uk8Ht8ci8Vuwcoeo7PdrkkEMtgTckj/hLgs+kZVy0XkReyp/s3Y0/N7M20T3h+eIQ9dsEJWtFpuTphfFwsj02uxGqAlSfOS7+ayFNP7sKUKMlpNNyf87RLZV3T7dEZhze4mAXuJyLPAlYkCcF2FQGMw9qR6B6z6MFoQvx97Sj8GC1o/U9U3wrY7hXydgtWgVGLnpqoGR1UXichjWIHz+FTBQ0RXrAYsnYWRICbhbuxJwUgs4Jqpqv9NWmdeZLoM2DHkd3GKfXQMy6uuWWiGthi7ZtUCGVUtFZGzsXN0X6j9ulFVX0jaZ/L0PmxpOvRBUvDaMuyrI7Az6T9fyX4JXAu8LiIbsQBlOFYj2BarVYp+TlqGfICd+0z7mZf0vhtwfGgKmFCANS2tyWXYiCiTk9LbEfgi6Vysx4Kzz7Br/VJ4GHACdr8mar8ewmqhxgAHiMi/sM/Hp2H5YlVdG0m3jC3H3g0oEpEVSfmMY7VkXcP2K3GuienTp0/aQKagoICWLVt6Hxnn8qwR/HZMTb6HlfGy1lQCmbLw9wCsWUayVAd9N/Z0/zmsCceDScu7pnifeAKdKr35wL4iEosEM8VkV6DKla5sCVC6hr+fJS1PFKgS7Quj+Us+rq2OM9QIDQOGicieWMFtFHBu6KvwfPI2EfNU9eDkmSLSJaRzOvC8qm4QkT9iT58THsWu1+FYzdj9kWWDsafrJwBloW/EUiJtSEXkOKyAPQFrYnZEpNlXsjLsXkon1fX/O/CXsJ/zsfsr2b5Uvz5fsaW2ITnNJWF5V7bULrbF+pWkvKdU9SngKRFphTXRekasb1RCV1LfH5vC9AFJwTJhvzEscD4A+CTVvpPyMRdrGoiIfB1rZjYXu2ZrsNqOd9JsXhb2k7LZH1ufp3nABFUdlOX6Uf2Bq7BmiD8Nwem8kMfd0gW7qvqOiMzBmtn9GJiY6OOiqpuwfni3iciuWBX4BOz+BOgkIm0iwUxXtnxG5wGzU31GoKofWycRaaeqqzIcl3NNyogRPoilc666WCw2n+p9NNtgfU/T/b9PqUkEMqq6WESeAMaFDrXzsI63mTyHdQoeDzyZaHIVcVSoJXgM6w9wBnBiWLYIaCEi3SJN2Z7D+pUMFeuc3g0rJKUq0NaXa0VkBrAOK0z9P3vnHSdVdT3w7wOxEECNYkFZFxI0lthyVGKJWGONxvozdgTFkliSCGLsBEGiaDRYaYrGqGgMYAETMZYonogdJZSlCYIKUqXsvt8f5w68HWZmC7M7O7vn+/nMZ9+82869777Ze945575XQkwPIjIWuFNEzscW+HdiSsPcrLVZPystnETkRGxhPRlYij2pLgdQC/hvVQu5W2FP0RcAq0WkMxbjMCmVQVUXichzmAWtM2aVSdEGW/R/DWwc3Mq2SCWKyLZY3MyVmCXpJeB+zP0oE38BnhSRV7EFdUtgT83xzhFVXS22ScRAbCH+RIZst4tIN+xGvBl4LLFYnkdCeVLVCrENKG4TkU+BRdg1+wwLxK+EiOyCzbl/Y9f/W+wHILkYzzU/nsDun6tUdU5YhB8GjAuWoEHAHSIyE4v52AFb7K/n2hTm2LhQ9yJMUSoPCuY9wJ9EpJuq/i8oZwcBH4X8f8HuoYlYbMz3gQ45FJ9BwGsi8hJ2XWMs/qitqr6GzamKMLbprnBLsbiskcAYETkJUCwm7c8icpOqfi0Wa3WEqj6ZKPsQ8Fssruj3ib4fHsb+wzDOywj3R6AZpuRci20E8TtsToJtGvFHsXcs3Rvkawfsr7YxiWIbHTwiIldgSvAewFep6+g4juM4tSWOGlRo/Dlp35cBk+M4rtGDvAbVoyroiu1O9hoW/Po85o6REbWdxAZjwcTpbmVgCsxx2C5Ig7Gdyd4MZSdjC+EJYkHs5wZ3j6MxZedLbKOAR6mBH18eGAG8jj2x35h1Ac9gE2IJtrvSZ9gCs6o3o6YW8tNDPw/FFMRRWNxIGbZY67khQodYoJuwa7YI6IUpHukMxRaeL6cpYHeFcl9gFoflQbZUrMnjwFhVHRoUh3OAI0XkopDnbBFZmpBnDGZV6YvFpHyOxRhVxcPA3tgmBOnuP+WYsvtRqG8alTeC6AOcIyILRSRl1boaW7y+i20GsD3wizB3EZEXReSBkHdj4EbMTXAR5jZ1qqp+l2gj1/zoHuQaLyJLgpyns+5pyPXYPfF3bB6Nx3Z0W2/8sAD3/4rIMswF7gnWWTxT1/l5EVmMWXh6sO63ZhC2A9lgbI69h8U6ZURVP8ZiS64KfZ8PDCO4FYZYlBuAv4Y5fH1a+e+wHca+xuZ6arOJKPRhCebi2CWt6ccxxfFNVU1aqbYNfV0Y5NkJuDiRPgNTqKZjitpL2A5pBCvN4ZiF+DNMIfonNqcIc/dE7J57H7vOQ6jdwwPHcRzHacjsF8fxa4mPxnG8OIqiGm2iVTTbL9eGYL25TlV3STs/DFijtotRg0eK8KV/Ylsi/0RVjyu0LPlCRL6HLaSPUtW3Eue7kMcXqNZCrlKKbH40dIK73TTgelXNZH3LVOYC6ugFs3VM4/0n4NQrvXr1Wu/cNttswzXX1HZzT8dpstRJMMt9+75U6ff+iveOKeT2y4vjOG6T4fw3cRx/v7r1FIVrWW0Q2/nqSmxbZqceCVaSvVkXr1P0hIXtVcCnSSXGabScjVm11nuPjuM41ceVGMdxkiRehNk8iqLDqKy0daSGrxxolIpM2O61LxaE/FA9tHc22WNlLkls/dpUmItZCK4otCD5QGz772mYNeb0Aovj1DEisgCL++mqqquqyu84juM4xUAD2bVscPi7KeY+nSLG4ol/XZPKGrVrmeM4jlMl/k/AyQuZXMv69etXAEkcp+ipE43j3p+8XOn3/tf//XkhXcsejeO4qljuKimmYH/HcRzHcRooO++8c6XvW2yxRWEEcRwnM1Hap4DkQ4kBV2Qcx3Ecx8kDXbt2Zeedd6ZFixZsscUW7L57xlcmOY7jEEVRmyiK7oqi6L9RFM2Iomhm6lOTehpljIzjOI7jOPVP165dARg1alSBJXEcJ50GEiOTYhCwI3Ar9vqIc7D3to2sSSWuyDiO4ziO4ziOU58cDewax/HXURSVx3H8fBRFir3LcGB1K3FFxnEcx3GcvJAM+D/ooIMKKInjOOnEzRqURaYZ9mJogKVRFG2O7Xpbo3exeYyM4ziO4zgbTPquZW+++WaBJHEcpwj4ADg0HL+OuZrdD0yuSSWuyDiO4ziO4zhOIyeOokqfAtMdKAvHVwIrgC2AGu1m5q5ljuM4juM4juPUG3EcT0sczwe61aYet8g4juM4juM4TiOnIVlkIqN7FEX/iqLow3DuZ1EUnVGTelyRcRzHcRynTkiPm3EcxwncClwEPASUhHOzgZ41qcQVGadJIiJni8gHhZZjQxCRNSLSpdByOHWDiPQTkdsKLYfjOI7TOGhIFhngAuCEOI6fBOJwbjrQsSaVeIyMUy+EBfcrqtog5pyqPg48Xmg5Ghoi0hHoDxwCtAIWAgqcqaqrCiRTGfAHVR2RODcMWKOq3cL3TbAXau0OHKOqNXozcIY29wH6AgJsCiwAXlXVizak3hq0X4L5C9foB91xHMdxioTmwNJwnFJkWiXOVYsGsah0GjYi0kJVVxdajoZAIcaintt8ARgL7AIsBnYATgDy/ugmX/0SkS2A57EfxYNUdeEG1tcKGAcMAE4BVgIdgCM3TNIacSnwvKoursc2HafWTJgwIWta7969qaioyJgWRRHNmjVjm2224Ze//CUlJSUZ8zmOs+E0ACtMkheAu6IouhosZga4DXshZrVxRaYJExZsN2OLtbbALOASbCK9D5QChwP9ReQy4ApVfS5R/lFgtapeFJ6QtwAqgJOwJ9i3qeowEWkHvAg0F5GUpn25qg4XkT2Bu4F9sKf/Q4DbVbW8CtmPwJ6Y7wysAf4J/EZV54f08aEPPwS6ADOA36nqiyH9Auwpf84XL6UsScCFwC1hnFqHJ+Z3AQdjTxJGAb9V1SWhXFugH3AUtp3gFOAsVf1cRLbC3lp7dGjmZeBqVf0mlC0L43AYsB/QTUTGAPcBJwJLgBvT5NwHuBf4MVAOfAYcX5NFfZBrF+AUVU29pGo28EBavpOBG4AfYC+v6hMsXKn0Q4E+mHWkAhitqhfUZixFZBTmO/uIiDwAvKWqRyfa2hF4CfhfGN/vwvmWmP/tqcDmwARs/k4RkWOBR4EdUlYmEWkd+nIssBzYCrhXVVeEpqaGT6rdYWSZ74k8hwC3A7thc3sQcJeqxiF9T+AO4CeYEvaeqqaUpZPDGDlOg2fChAk8++yzWdOzKTEAcRxTXl7O3LlzGTRoEJdddpkrM47TNLgGGI69FLMFZokZSw23X/YYmabNYOAA4AigDfALbDEH0BX4M7YIHBjyrt0aT0Q2B04DHk7Udwa2KP8+phDdLyIHquoX2AKxXFVbhc/wUMc44FVgO+D40O411ZB9JXAFthj+MdAOuCctz0Xh3BaY0vOciJRWo+50mgPHYcrWtiKyKfAv4FPsSf1uwI6p9kWkGfCP0O5+4e8FmAIC5tK2JbBr+GwNPJbWZndsHFpj1oa7gU6hrT2xxXPzRP6/YD8A3we2DWVTi/ReIrIox2cQgKp+DXyCKQ3nichuIlLp8Y2IHIXNhatCW+cD94nIz0L6ntgcGAxsD7QHhtV2LFX1RGAm0C3Mm6MTdXUC/gP8Gzg1pcQEHgZ+BHTG5tY7wGgRaRHkWxbGMMVZwCxVfR17GdeXwNMicqaI/IDMZJzvYRx2w542DcDm6PHYfD03pG8PvBY+pUHGfiFtsyD7p1nazStLlizxYz/eoOOPP/6YfDFt2rQG0y8/9uNCH+ebhhAjE0XRdgBxHC+O4/iX2MPKzsAP4jj+ZRzHNRqAKI7jqnM5jQ4R2QZbrO2hqp+kpY0Hpqlq18S5Esyq0EFV54jIpcBlqvrjkD4M+IGqHpIoMwJYrqoXZ4qREZFfYfEYJYmn1JcA16jqLjXszwnAEFXdJtGHWap6biLPG8ALqtq3hhaZV4GdUnEXInIa0F9Vf5DI9xPgLaAl9oT9TWDrhGUjla8dMAfYWVX/F87tgllQ2qnq3JRFRlVvDenNMCvB8ar6z3CuE7bgPkxVx4f+TsGsI2U1GLr0/m6NKUHHAHsAizBLTx9VjUVkNDAhJVsocy+wmap2C0pRW1U9PUPdXajhWKpqeY4YmV8CGwMHq+p/0/qwIK2dZphV5HhVfUNE/hDKHRPS3wGeUtU7w/edwjgchVmp5oQxeCjRfq75fl+QP3kP/RY4VlWPFJFrgdNVdb8M45SaIx025FrWAP8n4GwQVVlkaoJbZBwHqAN3boA/HTy+0u/9797oUu/aTBRFi+M4bpP4/mwcx6fUtj53LWu6lIa/k7OklyW/qOpMERmHuQX1wawzD+cqE77vm0OG9sCMlBITmBrO5yQsdvsCe2HKQ4QFiVUlz45V1Z2BCsztLkUHoEREFqXli7En66XA/HQlJpDq2/TEuamJtJRFrCyR3hbYJO1csjzYdbkBeENEVmOB77eo6ppMHcqGqn4F9AZ6B/esM7DrPAdzd+sAHCYiSatZc+D1cFwKTMzRRE3Hck6Oup4G5gP/FJHjVPWtRJ0AH4pIMn8L1o3/YOCGoKBvDuyNWU0AUNUZ2JuGU9bHHsCDIjJFVf8VspWlyVPGuvneAThcRJI/zs1Y1/dSst97KXfANlnSHadBsf/++/PNN98wfvz4DarnlFNOcSXGceqQBhIjky5Elw2pzBWZpktZ+NuJzC4smZyaHwQGhniN3VjfHao0w/fZOeqbBewkIlFCmelI5YVuNp4EnsGeai8OFplR1ZDnhWrUnU6cpmzNACar6u6ZMgcLwjYi0iZDsHZyITslHHdMS4PK4/UV5iZWyjqlpzRZqapOx9zyEJEfY25m04EhItIbU06yMUJVe6SfVNXlwDAR+TW20Afr+zBVHZClrjJsTmWjRmMZyOpgr6q9RWQJMFZETgoWqxkhuZOqLshSbm6Yxxdibn5/D0pcprzfYnFi12LjkFJkStOylrJuvs/ArGqXZxG9DHPNzNTeChH5HLvHPsxS3nEaFMccc0xWRaZfv34ADBkyhMmTK+vvXbp0YdNNN6Vjx46uxDhO0yCvXgCuyDRRVHW+iDwDDApuVjOw4O1cjMEClgcDIzMEkncWkbOAp4BDsUDrVPDyPCzYv0NYdKfquxt7+j8Ae4rdE1OYqqINFiC2JDxVz/TWtZPFNgUYj1kWhBCjsIGMBv4YFIR7sQC1dsD+YTMEBd7DYk2uwBSRPYCvVPULERkL3Cki52NPJu4EXlTVuRnaIrhXPQHcIiIfAysI8RQpQl3jQjzSImwDhPJQvi9mvcqJiGwJXIvF8HyO/dicFGRPtXc3pty8jbl/NcdilCJVVezavSMi52LzoBlwgKqOz9JsVWMJNneyKkeqervYJhKjROQMVR0dxmuQiFwVXCG3wDZPGKeqqQ0nHgryfg/4v8Q4/Aibu08B0zBLzoVYrNObiaZzzfdBwGsi8hK2GUGMbUzRVlVfwyxm14tIz9DvNcDPVPWVUP7voa4ns/XbcYqNrl27Vp3JcZw6I27WICwyG0VRdBjrLDPp34nj+F8ZS2bAg/2bNl2xnb1ewwLRn8fceTKitpPYYCxQO92tDGxBdxzmGjMY25nszVB2MnA/MCEEmJ8bnnQfjS3YvsQCpx/FdrCqiosx97YlwLOYm1E6g7E4h2+xXb5OTShRtSZYKg7Hnph/Fur/J8FqoaoV2O5iK7DxXYS5ZaVc384Jcn8eyi+i6l06rsQsLJ8BH2HWp+TObocD/xWRZVgA/BOsbzGrilXANth4foPFmfwB2w3u6dC3sdhGBAMwBW0uthlEq5D+ATYHLsWu6UxyKI9VjWWgD3COiCwUkRez1HMvcDkWoH9GkPFzYHyw2HwEnE7lJ0FjMWtPqs0US4I8Y0PanNCHM1T1nUS+XPP9Y2zb6qvCGM3HNj1oG9K/wMzpR2FWnHnA7xN1348p4u5e5jiO4zQm5mNrosHh83Xa90dqUpkH+zs1IlhvrksPxpe0FxQWmhD8/oqq9im0LE7DJcyTscFqVZNyw6jj+S4i/bDtzW+oqzYC/k/AyQu9eq1vGI+iiNtvv70A0jhOUVMnppP+XV6v9Hvfc/whDcJEsyG4a5lTbcTetXElti2z4xQ1Ycvo/TBLTYNDVTO5SzpOUeFKjOM4dYkrMk61EJGrsDiLsVhsQV23dzbZY2Uu0cQLGPPQ1tIsSa+r6rH5asdpOIjIu9jLUn+dbUMAx3Ecx2lMNJBdy/KKu5Y5juM0bfyfgJMXMrmWpXYscxynRtSJxtHvsDcq/d73evXgotds3CLjOI7jOI7jOI2cxmiR8V3LHMdxHMfZYNKtLwcddFCBJHEcp6ngFhnHcRzHcfJCSpkZNSr9/cSO4zj5xxUZx3Ecx3Ecx2nkNEbXMldkHMdxHMfJC3fddRcLFixg0003Zd999y20OI7jNHI8RsZxHMdxnA3mrrvuYv78+cRxzIoVK3jvvfcKLZLjOAniKKr0aQy4IuM4juM4zgYzf/78St9XrFhRIEkcx2kquGuZ4ziO4ziO4zRyGosVJolbZBzHcRzHcRzHKTrcIuM4juM4juM4jZy48Rlk3CLjOI7jOE7d0KtXr0KL4DhOI8YVGaeoEZGzReSDQsuxIYjIGhHpUmg5nIaDiGwqIv8TkV0KLYvjOI7TOGiMu5a5a5lTI8KC+xVVbRBzR1UfBx4vtBwNDREZj12nPtXI2wV4FVgWTi0GXgZ+q6rf1JWM+UZEYuAQVX0jD3VdClwOlADlwFRggKr+bUPrriZXAv9R1c/rqT3HcRzHKToaxGLUqR9EpIWqri60HA2BQoxFAx//clVtBSAiHYEXgLuB82pSSQPvY5WISAvgNOAm4CRgArApIMBm9SRDc+AK4Ff10Z7j1JSZM2fy4osv8s0337DPPvuw22675XxnTO/evQGoqKjImN6hQweOPfZYSkpK6kRex3GMxmKFSeKKTCNARFoBNwOnAG2BWcAlwG3A+0ApcDjQX0QuA65Q1ecS5R8FVqvqRSIyDGgBVGALuQXAbao6TETaAS8CzUVkaSh+uaoOF5E9sYXvPsBCYAhwu6qWVyH7EUBfYGdgDfBP4DeqOj+kjw99+CHQBZgB/E5VXwzpFwB/UNUfVtFOF+AV4ELgljBOrUWkBLgLOBiIgVGYJWJJKNcW6AccBWwBTAHOUtXPRWQrYCBwdGjmZeDqlBVDRMrCOBwG7Ad0E5ExwH3AicAS4MY0OfcB7gV+jFkCPgOOV9WFufpXRd+fBuao6lWJcxcAN2DjWglVnSYio4Gfh7xDgSND/2cBfVT1iZDWhczjeiVwKbADNh8ex65TeSgXA78GLgB2BT4AzgBOB64BWgIPqOr1CZn3AO4E9gVWhDpvVNXVCffCsSJSATypqt1EpCVwK3AqsDmmmFyhqlNCneOpfI/0DTL/W1XfCXWuAF5PG9MYuDrI/wNAge6JejcCrg3p2wCfAFeqqob0COgexmAn4Fugv6rehylNWwJvpV8bxyk0M2fOZNCgQWu/jx8/nvHjx+csk02BSTF9+nQGDRrEZZdd5sqM4zg1wmNkGgeDgQOAI4A2wC+AuSGtK/BnbBE3MOTtliooIptjT6AfTtR3BrYo/z6mEN0vIgeq6hfAsYSn9+EzPNQxDnNP2g44PrR7TTVkX4k9fW6LLd7bAfek5bkonNsCW2g+JyKl1ag7nebAcZiyta2IbAr8C/gU6ADsBuyYal9EmgH/CO3uF/5egCkgYAvpLbGF+K7A1sBjaW12x8ahNfA8pux1Cm3tiSmLzRP5/wKMxcZ+21B2VZCnl4gsyvEZRGaGAr8K1oYUFwLDVDVOzywiP8QUrXfDqTeAvUP/bwWGichuiSKVxjWcm43NlTahj11JzLvAOcDJ2LX/DrsWW2KKweHA70TkoCDTNsBrwLOYovFTTLm8DkBV9wp1Hh3mZaqth4EfAZ2xufkOMDptLJL3yJ+BfwO/EJE+InKEiGyRPkaBi7F7J6Wo/CNYU8CUupOAY4CtMIX2JRHZMqT3wB4+XIqN6z5BNjBFbXJVDwHyxZIlS/zYj6t9PG3aNOqKVN2F7qMf+3FDOc43FVFU6dMYcItMkRMWeGcAe6jq9HA69VQY4BlV/Vc4v1xEHgF6icgOqjoHc1+ZqqpvJ6p9W1VHhONXRGQktoDP9oT4eGyx3ScsjCeJSH9sET4gl/xp8QzzROQObNGX5O+qOi4cPx7iF36FKTU1paeqfgsgIqcBkaqmrCIrROQG4C0R6Q78BHs6vnWqDPBhKNsOs1jsnLKWiMg1wGcisr2qphTJh1V1YkhfCZyNWVjmhXM9gV8m5FuFxWW0V9UyYO11UdV+mHWopryMWbtOwJTAHwAHYYpEiuYisgizSi0KZXqFdgcn8j0pIr/DrGOfJs73TIwRqjoykTZRRB7DFO0HE+fvVNXZACLyTOjbzapaAXwQrCwCvIm5uH2gqqnyc0TkdqA/plyth4hsjc2TnVT1y3DuFuAqTPFPzb1K9wjwtIiswBSc7sDWIvJv4Neq+nGa/Kl77VrM8nSAiPwH+A12nVOrvsEichV2r4zALDF/TMz/r8IHTJlbnKlPdUHr1q392I+rfdyxY0fqilTdhe6jH/txQzl2qsYVmeKnNPydnCW9LPlFVWeKyDjsiXwf7Cn5w7nKhO/75pChPTAj7en+1HA+JyLyE0wh2QtzJ4qAVtWQZ8eq6s5ABeYalaIDUBIW8Eli7Ol9KTA/uUBPkOrb9MS5qYm0lCJTlkhvC2ySdi5ZHuy63AC8ISKrsUXvLaq6JlOHqoOqlgf3wQuB5zCl9J+qmhyLclXdIr1ssErdDJyJjUkMfC/0JUX6uCIiZ2GKbEfsd2ZjEkpZYG7ieDk21hVp51K/6B2Ag9KuVURla1Y6HcLfD4NSn6IFledmWXpBVR0NjA59+REwCLPkdEjM87JE/uUisgCbl1tjc3hUcEFLtpuat6Vkv2cXYpYsx2lwlJSUcNlll2WMkXn77fRbfB3NmjXzGBnHKTAxjcMKk8QVmeKnLPztROUn5Cky/ed4EBgY4jV2Y313qNIM32fnqG8WsJOIRIlFXkfSFrdZeBJ4BjhdVReLyAlYnEpV8rxQjbrTidOUrRmYC8/umTKHGJdtRKSNqqY/IU/1rZRgAcP6nEyDyuP1FWZxKWWd0lOarDRY1bqG9n+MuZlNB4aISG+gd9bewQhV7ZElbRi2oN8es270zFFPkrMwZfdo4FNVrRARhUq/hpXGVUTaYwrYKcCLqrpKRP6EWVdqywxsF7bjc+RJd5ObEf52UtUFOcrldOBX1c9EZCDmZrglkNrJrTSVJ8TitMXuk6+wHeCOVNV3yUwZds+Oy5A2EdhZRJrXl3uZ49SEkpISLrnkkvXOZVNk+vWrjSHZcRynalyRKXJUdX5wyxkUArhnYDEGuRiDPWEeDIzMEEjeOTxRfwo4FAuUPjKkzcPckDokXNnGYLEfvUVkAPYkvCeV3Yiy0QYLdF4SAu8zvT3t5LApwHjMjU6Ac6tRd1WMBv4YFIR7gaVYjM7+YTMEBd4DHhGRK7AF6h7AV6r6hYiMBe4UkfOxhf2d2MJ9boa2UpaRJ4BbRORjLIi80n/4UNe4EI+0CHMJKw/l+1I7d7rUYlyxa94as8xUhzZBhgVAszDH9iJYK7LQCou/WwCsFpHO2PWaVBvZA48CvxWRrsATrFMId1bVl0KeeZhy8AasvTeewO6Nq1R1Toh3OQwb46VkILSxBHhVVb8SkR2xmJZP07ajvjpsFjAHu47TgHdUNRaRe4A/iUg3Vf2f2IYcBwEfhWv7F+x+mYjFxnwf6BAUn3exa/9T1rm/OY7jOM4G0Rh3LfNg/8ZBV2znpdewBdjzmBtQRsJT3sFYgHG6WxmYAnMc5uIyGNuZ7M1QdjJwPzAhBJifG1yvjsaUnS+x+IpHsd3AquJi7In/EiyQ++kMeQZjbkrfYrt8nZpQomqNqi7Hgsp3w3YH+xbbNW3vkF6BBb2vwMZ3ERa/k3J9OyfI/Xkov4iqtyu+ErOwfAZ8hFmfkk/dDwf+KyLLgP9gi/Z0i1ltGYoF4D+hqiurWWY4ttCegi3YdyNtB690VHUStn3x89iY9AL+WjuR19Y5D1NATsasGQsxZSzpsH89cKuILBSRlBLdHbs+40VkCTbmp7O+9SbJQiwIf1K4Du+EfpyQlu8RbM4uwJS7kxIWlFT/nxeRxcD/MGUo9Zs7CLgdm9uLMYV5v9DXcmxnu/TNERzHcRzHSRDFca7/505jJTxZv05Vd0k7PwxYk9j1qaBIDV7s6Dj1heTx5ZtZ6t8M21jiBK37l2L6PwEnL/Tqtb5B/ZRTTmH//fcvgDSOU9TUienkD8e/V+n3vs+YfYveROOuZU0QEWmNWQb+XGhZHMdZH1VdgbnJOU5R40qM4zh1iSsyTYywBWxfLIj8oXpo72yyx8pcoqqP57GtjDEPwOuqemy+2nEcx3Ecxyk2GmOMjLuWOY7jNG38n4CTFzK5lvmOZY5TK+pE47j+hImVfu//OHqfotdsPNjfcRzHcZwNpmXLlpW+N2+e6zVPjuPUN3FU+dMYcEXGcRzHcZwN5sYbb1yrzDRv3pzOnTsXWCLHcRo7HiPjOI7jOE5euPHGGwEYNSr9vcaO4xSaikYYI+MWGcdxHMdxHMdxig63yDiO4ziOkxeSAf8HHXRQASVxHCedxrhrmVtkHMdxHMfZYNJ3LXvzzTcLJInjOE0Ft8g4juM4juM4TiPHLTKO4ziO4ziO4zgNALfIOI7jOI7jOE4jx3ctcxzHcRzHqSY33XRToUVwHKcR4xYZJ2+ISG/gp6p6YqFlqS+aYp+zkc+xEJFhwBpV7bbBgq1f98bAY8DRQLmqbp3vNhzHMVauXFloERzHCcSNzyDjikxTRkS6AK+oal7mgar2zUc9+UZELgD+oKo/zHfdDbXPhSB9LERkPDa/+hRGoqycBuwP7KCqyze0MhGJgUNU9Y0NlsxxHMdxnGrjikyRIiItVHV1oeVo6IhIi0LL0NgRkQhorqprCi1LNekITM2HEpMv/H52Gjt33XUXCxYsoG3btuywww58/vnn7LLLLpx55pmFFs1xmgwxjc8kE8VxXGgZnAQi0gq4GTgFaAvMAi4BbgPeB0qBw4H+wGXAFar6XKL8o8BqVb0ouOe0ACqAk4AFwG2qOkxE2gFTgU2BZaH45ao6XET2BO4G9gEWAkOA21W1vArZbwYOVtUjw/cy4BHgCGA/YDpwNrB76E9b4Gmgh6quEZHSkKc7cC2wLTAe6K6q80OdWwEDMbcggJeBq1X1m0SbQ4DDQpt/BG4CNgZSC9cTgA+Ah8JYbgTMDnK8nquP1ejzlcClwA7Y2D2OWYPKRWQA0ElVT06U7wKMArYDYmAEcCDQEpgC9FTVcVna3jJXH0TkZOAG4AfAXKCPqj6eKH8o0Ae7HhXAaFW9IJOlLkM/Y+Aq4NxQ/jDgmFQeEbkvjMMaYDUwBzgZG/cdE9czAqYBN6rqY4n2hpFwLRORPwDnAcer6v9EpDtwJdA+lO+pqmPDmHwBHKiqExP1/RsYh82pi7H4wO+AZ0KfhwJHAltg91wfVX0iUX5P4A7gJ0Bz4L3Qzw+APYEVYQyfVNVutZin3cP3jHKr6m3UHf5PwKkVM2fOZNq0aXTs2JFPP/2U8ePH16qenXfema5du+ZXOMcpbupE47jmlI8r/d7f9eweRa/ZuEWm4TEYaIct/suwRWiKrthi8JfAZsAmQDfgOQAR2Rxzmzk8UeYM4MLw6QKMEpHJqvqWiByLLVhbpTKHOsYB9wHHYk+vxwArgQG16M/5wC+wRfnQIOs/gb2ArQAFXsUW/CnOA36GKR7DscV9akH4OLYw3jV8H4HFOxyfKN89tPk+pqjNJc21TET6YsrCTpgi1ynUi4gcDIzO0aeZqrpnlrTZ2LiVAXsDL4XjB0P/3xeRtqq6IOS/EHhKVZcFJfZZbMy+wxSFkSLyg0T+JL/P0YejsLl0MvAmIMDLIjJLVf8dFuYvAz2Av2IL+wNy9DkTF2FzsQz7LTkmlaCqV4jIHqS5lonI26F/qbl0FKY8PJOpgWBRexD4EbbI/yooMT2BU4GPQrvPisjeqjpFRJ7G7ovLQx07Az8FzlLVOSLyFQmlLPAG8DtgEXA68KiIvK+qn4rI9sBrmCJzKjbGPwv93CsodUenuZbVZp4em03uTGPjOIVk5syZPPDAA1RUVBBFERvyUHTy5MkMGTLElRnHqWN81zKnThGRbTDFo4eqTlfVWFWnqOqUkOUZVf1XOL8cs3YcJSI7hPRfYS4zbyeqfVtVR6jqGlV9BRgJXJBDjOOBVdgT6ZWqOgmz/tQ26PohVZ0U3GaewBSj61V1marOxCwuklbmFlWdp6qLscX6USLSLliRfg5co6oLVXUhcA1wXFhspnhYVSeGcVqRRa5VmCK1CxCp6mRVnQ6gqm+o6hY5PtmUGFR1ZOLaTcQWr0eEtE+BicA5ACLSGlM8h4T0peFaLVHV1ao6IMi5X037gFkr7lHV11W1QlUnYIvp80J6D2CUqg4L13mFqo7P1q8s/ElVp6pquapWN6L3IUwhT3ERMCLLddoceBFoAxyuql8l+narqn4Q+vYCpgz/X6KNX4nIpok2XlLVOdmEUtXBqvp16MuTwIeY4g9mdZqiqreHebsq3EsZ2YB5WmO588GSJUv82I9rfDxt2jQqKioANkiJSTFt2rQ6l9mP/bjYjp2qcYtMw6I0/J2cJb0s+UVVZ4rIOOypfh9M2Xg4V5nwfd8cMrQHZqhq8j/T1HC+NsxNHC/HdolakHaudQYZ0493ZJ2pdXoifWr42z7RVrJ8NgZgbnfDge1FZDRwrap+WY2yWRGRs7BFa0fs/toYSCqWQzGXq4GY0jpbVd8MZTcLch0HbI25KrXGXPBq2ocOwGEick0if3Pg9XBciilVG0JZLco8A9wTrF6TMItRNkXtEEyZ2VdVv0uc7wD8RUT+nDiXcq1DVd8QkS+A00TkScwCdHE2gUSkGebOeSbrXPy+x7pxLyX7PZmJ1L1So3laU7nzRevWrf3Yj2t83LFjR5o1a5YXiwxAx44d61V+P/bjYjjON3EjtMi4ItOwKAt/OwGfZkivyHDuQWCgiIwBdsMsAElKM3yfnaO+WcBOIhIllJmO4Xx9Ucq6hV9p+Ds7LT1lpUr990vKl96v9fqpqsuA64HrRWQ7zFoxADhPRA7BLAHZmKGqu6efFJH2oZ5TgBdVdZWI/InKFqcnseu1L2YZG5pIuwZzWToCKFPVOLhBZfzlydUHYAYwLFh1MlGGzbNMLAGai8gmCUtLuwz5Ms2fnOmq+p2IDMesDR8A76vqh1nKjw55XhWRn6vqB+H8DOAmVX06R9sPhjaWAuWYe2Q2zsIeAhwNfKqqFSKirBv3Msxylo30FVxqLpZSs3laU7kdp2CUlJTQo0ePDY6RiaKITp06uVuZ4zi1whWZBoSqzheRZ4BBYcvgGVSOkcnEGGAQFg8xMrixJOkcrARPAYdiPv6p2IB52IK1Q8IlaQwW6N87BKd3wOIRHtyQvtWQG0TkYyyAuj8WZ/EFgIiMBe4UkfOxheadmNIwN2tt1s9tRKRNcFdDRE7EFpmTsUXjd9jCEbVg+VZZ6spFK8xdcwGwWkQ6Y25Jk1IZVHWRiDyHWdA6Y1aZFG2wWKSvgY1FpCcWP5KRXH3AruGwEJPyFmaN+THmgqbY9XxHRM7F5kYz4IDgXpaqr5uI3I9tPnAa8F4Nx2MekGnL64ew2KgDqSLuSlXvFZGlwD9F5ERV/Q9mzbpZRP6HKTqbYkH4X6nqZ6HoY8Dt2EYPQzX3RhVtsE0JFgDNwr23F+vipEZgymJP4N6Q92cJ97J5mFL4RpD5i1rO05rK7TgFpaSkhJKSkrXH2RSZfv361aNUjuNkozFaZDxGpuHRFQv+fQ17Mv485u6SkbDQGYztMJbuVga2SD0O20FrMLYz2Zuh7GTgfmCCiCwSkXNV9VvsyfSRwJdYQPijwF356Fw1GYG5QM3CXLPOTaSdg43L58BnWHD2eeTmVWwDg+mhn4diCuIoYDH2xH0FprDVmhBPdBN2zRYBvbBA+nSGYoHdL6ctbO8K5b7ALFLLSbgfiUiJiCwNFiNy9UFVx2LB5AOArzB3poEEBS1YN47D3Ny+BGYSxllVl2Duir8FvsViUobXfEQYaGLLIhH5JHUyKBv/xaw8T4a+9U7mSaKqKXe8MSJyhKo+jAXeD8Xm9Uxsd7YWiTILMTe2vbB5n4vhwDuYUjgHs2ymXPAISnQXbGOC2Zji8vtE+euBW0VkoYikFP7azNOayu04juM4TRrffrkREJ4gX6equ6SdH0YdvR29LpB12y+3V9XZVWRvEIjIbcBPVPW4QstSTIS5uUpV6ywGJGwZfaCqHl1V3oZEAeT2fwJOXujVq1fG826RcZwaUyemkyvOmFTp9/6+p3YtehONu5YVOWHnqyuBP1eV18kvIUh8b9bFQTjVIGwrfDo13+65Jm1si1mk6jxYPp8Uq9yOkw1XYhzHqUtckSliROQqoC8wFos7qOv2ziZ7rMwlmnjZYhNhLmZBuqLQghQLIQbs59gLVj+uozbuwl4i+5iqFk2wfLHK7TiO4xQHjTFGxl3LHMdxmjb+T8DJC5lcy9wi4zi1ok40jsvP/KzS7/1f/vajotds3CLjOI7jOI7jOI2cirrRjwqK71rmOI7jOM4Gk259OeiggwokieM4TQW3yDiO4ziOkxdSysyoUaMKLInjOOk0xhgZt8g4juM4juM4jlN0uEXGcRzHcZy8MWHCBD755BO22mqrQoviOE6CisZnkHGLjOM4juM4+WHChAk8++yzLFq0iKlTpzJhwoRCi+Q4TiPGFRnHcRzHcfLCs88+m/O74ziFoyKKKn0aA67IOI7jOI7jOI5TdHiMjOM4juM4juM0cnzXMsdxHMdxHMdxnAaAW2Qcx3Ecx3Ecp5Hju5Y5Ti0Qkd4i0qTejtYU+5yNhjQWIlIqIrGI7Jgjz3gR+UPi+1IR+Wk16u4iImvyJavjOI7jOLlxi4yzHiLSBXhFVfMyP1S1bz7qyTcicgHwB1X9Yb7rbqh9LgTpYyEi47H51acwEtUMVW1VaBkcx3EcZ0OJaXwmGVdkGhki0kJVVxdajoaOiLQotAyNHRGJgOaq6lYKx2nC9OrVq8o8l112GSUlJfUgjeM4jQlXZIoEEWkF3AycArQFZgGXALcB7wOlwOFAfxG5DLhCVZ9LlH8UWK2qF4nIMKAFUAGcBCwAblPVYSLSDngRaC4iS0Pxy1V1uIjsCdwN7AMsBIYAt6tqeRWy3wwcrKpHhu9lwCPAEcB+wHTgbGD30J+2wNNAD1VdIyKlIU934FpgW2A80F1V54c6twIGAkeHZl8GrlbVbxJtDgEOC23+EbgJ2DjRzxOAD4CHwlhuBMwOcryeq4/V6POVwKXADtjYPY5Zg8pFZADQSVVPTpTvAowCtgNiYARwINASmAL0VNVxWdreMlcfRORk4AbgB8BcoI+qPp4ofyjQB7seFcBoVb0gk6UuQz9j4Crg3FD+MBE5JpVHRO4DDgF+KiK9gDnAydi475i4nhEwDbhRVR9LtDeMLHM3pF9AmpUtlFmjqt0Sw3SMiGScSxnGMwYOUdU3co1PhnICPAfcqqoPi8gewJ3AvsAKbA7cqKqrReRvwDxVvTJRvivQG5sbcSbZHKchMXPmzFqXHTRokCszjlPHNJZ3xyTxGJniYTBwALb4bwP8AluEAnQF/gxsji3mBwNrF20isjlwGvBwor4zsMX+9zGF6H4ROVBVvwCOBcpVtVX4DA91jANexRbXx4d2r6llf84HLgO2xBaxz2FKxl7Aj0P/zkwrcx7wM6A9toAckUh7PNS1a/hsDTyWVr57kLc1ppD1AKYl+jke+D2mLOwEbAH8ElMEEJGDRWRRjs+HOfo7GxvXNtgCvCvrrtFQ4DgRaZvIfyHwlKouw+7TZ4FOwFbAX4GRafmT5OrDUdj8uAq79ucD94nIz0L6nti8GAxsj431sBz9ysRF2LVrBUxMJqjqFcDrmPLRSlV3UdVJwNtBlhRHBdmfyVB/xrlbQxlzzaWsVHd8ROQXwGhMQXpYRLYBXsOu4w7AT7E+XheKPAicIyKbJKrpBjxS10rMkiVL/NiP83I8adIkNoRp06bVu8x+7McN+dipGrfIFAFhEXQGsIeqTg+np4Q0gGdU9V/h/HIReQToJSI7qOoc4FfAVFV9O1Ht26qaWry9IiIjgQuAt7KIcTywCnt6HwOTRKQ/phgMqEW3HgoLWETkCcwi0zks3JeFOArBFJQUt6jqvFDm98D/ggUJ4OfAzqq6MKRfA3wmIturakrhe1hVUwvrFWHs0lmFKQu7ABNVdXIqITyR36IWfUVVRya+ThSRxzCl9EFV/VREJgLnAANFpDWmeB4dyi6l8kJ7gIj0xCxLL9SkD8CVwD0JC9MEERmBLez/jSl3o1IWjsD4Gnb3T6o6NRyXZxnndB4CrmfdXLoIGKGqKzLkrenczUTGuRQU+VxUOT4i8hvgd8Axqvp+OH0e8IGqPhi+zxGR24H+wK3YA4KvMaXzSRHZFZv/p9SgT7WidevWfuzHeTneddddefXVV6ktHTt2LKj8fuzHDe043zRGi4wrMsVBafg7OUt6WfKLqs4UkXHYU/0+2JPdh3OVCd/3zSFDe2BG2tPhqeF8bZibOF6OWYAWpJ1Lv5vLMhzvCGuj16Yn0lML6faJtpLlszEAc10aDmwvIqOBa1X1y2qUzYqInIUpfR2x+25jzAqRYijmejYQU1pnq+qboexmQa7jMEtTBTY22SwyufrQAXP3SlrSmmNWErC5VsmKUgvKalHmGeAeETkYmIS5m+1XzfrLyD13q6ojdbwjUJUiU0ru8WmGKWQPJJQYsHE/SEQWJc5F2NijqrGIPIzdq0+Gv6NTypbjFAMb4hbmbmWO49QGV2SKg7LwtxPwaYb0igznHsSe7o8BdmN9N6vSDN9n56hvFrCTiEQJZaZjOF9flLJOQSkNf2enpU8Jxx3D36R86f1ar5/BInQ9cL2IbIdZQgYA54nIIVj8UDZmqOru6SdFpH2o5xTgRVVdJSJ/wp64p3gSu177YtaFoYm0azA3qCOAsrDo/Qoybz+Sqw/ADGCYqmazopVh8ywTS7DYqU1UdWU41y5DvkzzJ2e6qn4nIsMxS8wHwPuqms1VrzTD99Q8WAJ8Ly29HZDuvF9K7rmUjTKyjw9Y3w4FxonId6p6ezg/A4svOj5H2WHArSKyMxZjdH6OvI5TNPTr14+ZM2cybdo0Onbs6AqL4xSIxvgeGVdkigBVnS8izwCDQjDzDCxQOxdjgEGYL//IlMtVgs7BSvAUtvA6FTgypM3DFqwdEq5sY7C4kt4hOL0D0BNTmOqLG0TkYyxQuj+2MPwCQETGAneKyPnYAv9OTGmYm7U26+c2ItJGVReHek7ElKHJwFLgO6AcILhj1WYr3lbYk/oFwGoR6YwtVNc6lKvqIhF5DrOgdcasMinaACsx16ONg1vZFtkay9UH7BoOE5G3MVes5lhMUqSqil3Pd0TkXGxuNAMOCPFDqfq6icj92OYDpwHv1XA85gGZtrx+CNBQby53xVxz933smp6Aud2dhCmB6TEwWedSFeQaHwBU9bOg9P4zzK3rgEeB34YA/icw979SzB3ypVBugYg8jym1K7BYHMdpFJSUlLgC4zhO3vFg/+KhK7ZIew176vw8FnSfEbWdxAZjO4ylu5WBLcKOw3bQGoztTPZmKDsZuB+Ln1gkIueq6rdYzMaRwJfYIutR4K58dK6ajMBcoGZhrlnnJtLOwcblc+AzYBFmgcjFq9gGBtNDPw/FFMRRwGLs6fsKTGGrNSEW6Cbsmi0CemEB++kMxTYEeDlNAbsrlPsCsyIsJ+EaJSIlYi9tPCScytoHVR2LbXowAPgKc7sbSFDQVPUDbF5cil3nmYRxVtUlmLvib4FvsXib4TUfEQaa2LJIRD5JnVTVz4D/YhaUJ0PfeifzBHLN3alBroeAb4BjgJEZZMg1l7KSa3zS8pVhu7P9QkQGhbyHYS5zZUH251hnOUzxIHbPDlHVqixbjuM4jlNtKogqfRoDURz7rp6NlWC9uU5Vd0k7P4z1t6NtsMi67Zfbq2p13H8KjojcBvxEVY8rtCzFRJibq1T14hzpRTN3a4qIdAD+B3RQ1fpy2/R/Ak7eyPTOmH79+hVAEscpaupEy/i/88sq/d4/Oby06LUZdy1rpISdr67EtmV26hERaQbszbp4HacahNiQ07FtxpscIrIRZjl7rh6VGMdxHKeJEPuuZU4xICJXAX2BsZiLTV23dzbZY2Uu0cTLFpsIczEL0hWFFqRYCDFgP8desPpxoeWpb8T2qH4NewnoCQUWx3Ecx3GKAnctcxzHadr4PwEnb7hrmePkhToxnZx+4YxKv/dPD92p6E00HuzvOI7jOE5eaNasWc7vjuM4+cR/YRzHcRzHyQt9+/atpLz07du3gNI4jpOkIooqfRoDHiPjOI7jOE7e6Nu3L6NGjSq0GI7jNAFckXEcx3Ecx3GcRk5jeXdMEldkHMdxHMfJGzfccAOrV68miiJOPPHEQovjOE4jxmNkHMdxHMfJCyklBiCOY2644YYCS+Q4ToryqPKnMeCKjOM4juM4eSGlxGT77jiOk0/ctcxxHMdxHMdxGjmNZaeyJG6RcRzHcRzHcRyn6HCLjOM4juM4juM0cioan0HGLTKO4ziO4ziO4xQfrsg49YKI9BaRJvWGtKbY52zU11iIyIsicm1dt+M4juM4xUYFUaVPYyCK47jQMjgNEBHpAryiqo3a/VBELgD+oKo/LLQsTQkRGY/Nrz6FlmVDEJFhwBpV7VZoWTYA/yfg5I1evXqtd659+/ZcfvnlBZDGcYqWOtEyjuk+p9Lv/UsP71D02kyjXqQ2VUSkhar6npdVICItCi1DY0dEIqC5qq4ptCwNFb9fncbAhAkTePfddzOmzZo1K6OCk6J169ZstNFGtGvXjkMPPZSSkpK6EtNxmjTljXDXMrfIFBEi0gq4GTgFaAvMAi4BbgPeB0qBw4H+wGXAFar6XKL8o8BqVb0oPEluAVQAJwELgNtUdZiItAOmApsCy0Lxy1V1uIjsCdwN7AMsBIYAt6tqeRWy3wwcrKpHhu9lwCPAEcB+wHTgbGD30J+2wNNAD1VdIyKlIU934FpgW2A80F1V54c6twIGAkeHZl8GrlbVbxJtDgEOC23+EbgJ2BhYHsqcAHwAPBTGciNgdpDj9Vx9rEafrwQuBXbAxu5xzBpULiIDgE6qenKifBdgFLAd9tR8BHAg0BKYAvRU1XFZ2t4yVx9E5GTgBuAHwFygj6o+nih/KNAHux4VwGhVvSCTpS5DP2PgKuDcUP4w4JhUHhG5L4zDGmA1MAc4GRv3HRPXMwKmATeq6mOJ9o4EBgTZVwHvJ9oeT8LSIyIHAIOAnUP9Y4Guqloa0svCOB0BHACUARer6lsh/Qigbyi/Bvgn8BtVnR9c2P4YxFoZ/m4exnXteKTLlRpD4ELgFqCtqrYWkRLgLuBg7HqPAn6rqkuoW/yfgLNBTJgwgWeffTYvdUVRxKWXXurKjNPUqRON46iLv6j0ez/uoXZFr9l4jExxMRhbbB0BtAF+gS1CAboCf8YWUgND3rXuLiKyOXAa8HCivjOwxf73MYXofhE5UFW/AI4FylW1VfgMD3WMA17FFtfHh3avqWV/zscUri2xReZz2KJ3L+DHoX9nppU5D/gZ0B5bYI9IpD0e6to1fLYGHksr3z3I2xpTyHoA0xL9HA/8HlMWdgK2AH6JKQKIyMEisijH58Mc/Z2NjWsbTHnsyrprNBQ4TkTaJvJfCDylqsuwe/VZoBOwFfBXYGRa/iS5+nAUNj+uwq79+cB9IvKzkL4nNi8GA9tjYz0sR78ycRF27VoBE5MJqnoF8DqmOLdS1V1UdRLwdpAlxVFB9mfS6n6UdXN9B0zhWg8R2QJ4AXgy9PPX2DxPpyvwm1DfOGB4Im0lcAWmWP8YaAfcE/pxBzbnhifmT06FPkFz4DjsgcC2IrIp8C/gU6ADsBuwY6qtumTJkiV+7McbdPzxxx+TL+I4ZtKkSXUusx/7cTEc55uKqPKnMeCuZUWCiGyDKR57qOr0cHpKSAN4RlX/Fc4vF5FHgF4isoOqzgF+BUxV1bcT1b6tqilF4BURGQlcALyVRYzjsSfgfVQ1BiaJSH9MMRhQi249FBawiMgTmEWmc1i4LwtPsQVbLKa4RVXnhTK/B/4XLEgAPwd2VtWFIf0a4DMR2V5VUwrfw6qaWlivCGOXzipMWdgFmKiqk1MJqvoGtriuMao6MvF1oog8himlD6rqpyIyETgHGCgirTHF8+hQdimVlbYBItITsyy9UJM+AFcC9yQsTBNEZASmJP4bU+5GqeqwRJnxNezun1R1ajguzzLO6TwEXM+6uXQRMEJVV6TlW4VZY7YNcyGbbCcAS4MsMTbmQzBLUZIHVfUTgHDfXCUim6vqt+F6p5gnIndgVr180FNVvw3tngZEqnpjSFshIjcAb4lI9xooSDWmdevWfuzHG3S8xx57MHly8iem9kRRxK677lrnMvuxHxfDsVM1rsgUD6Xhb7b/FmXJL6o6U0TGYU/1+2BP/h/OVSZ83zeHDO2BGWFRmGJqOF8b5iaOl2MWoAVp59Lv6LIMxzuyzgw7PZGeWki3T7SVLJ+NAZjb3XBgexEZDVyrql9Wo2xWROQsTOnriN17G2NWiBRDMZergZjSOltV3wxlNwtyHYdZmiqwsclmkcnVhw7AYUHRS9Ecs5KAzbVKVpRaUFaLMs8A94jIwcAkzN1svwz5TgJ6Ax+JyAJMIb47Q74dgJlp83VGhnzJeZhypWwNfCsiP8Fcy/bCLFwRZmXaUCow19AUHYASEVmUli/GrJ9z8tCm49QJ+++/PwDvvvsus2bNqiL3+niMjOPUD+WNZKeyJK7IFA9l4W8nzP0knYoM5x7Enu6PwVxVHktLL83wfXaO+mYBO4lIlFgcdqTygqyuKWWdglIa/s5OS58SjjuGv0n50vu1Xj+DReh64HoR2Q6zhAwAzhORQ4AXc8g3Q1V3Tz8pIu1DPacAL6rqKhH5E2ZxSvEkdr32xSxjQxNp12AudUcAZaoai8hXZPGjzdUHbDE/TFWzWdHKsHmWiSVAcxHZRFVTcSHtMuTLNH9ypqvqdyIyHLPEfIDFvqznqqeqHwBnhhiag4GxIvJhwiKZYg6mHCTna01XSE9iCtbpqrpYRE7AYley9gMbo++lnUsfoziDgjU509xxnGJg//33Z//9988Y1L/PPvtw5pnpXsKO4zgbjisyRUIILn4GGBS2DJ6BudfkYgwW6DwYGJlyuUrQOVgJngIOBU4FUgHK87AFa4eEK9sYLK6kdwhO7wD0xBSm+uIGEfkYWIFtavBKiOlBRMYCd4rI+dgC/05MaZibtTbr5zYi0kZVF4d6TsSUocmYa9J3QDlAcMeqzRP5VlicywJgtYh0xlyc1jqDq+oiEXkOs6B1xqwyKdpg8RpfAxsHt7ItsjWWqw/YNRwmIm9jboTNsfiPSFUVu57viMi52NxoBhwQ4odS9XUTkfuxzQdOA96r4XjMAzJtef0QoKHe9RQtEdkYOAsYo6pfichCTJkoT88LjMZiaa4RkT9jGw9cmCVvNtoA3wJLQjB++iptHnYfNVPVlFLzX6BvsOZ8gLnqdaiindHAH0WkN3AvNsbtgP01sWGH4xQjrsQ4TsOgvPEZZDzYv8joiu1O9hr21Pd5zO0kI8GvfjAWUJzuVga2SD0O20FrMLYz2Zuh7GTgfix+YpGInBv8+Y/GlJ0vsYDwR7GdluqLEZgL1CzMNevcRNo52Lh8DnwGLMIsELl4FQvwnh76eSimII4CFmPWiRWYwlZrQizQTdg1W4QtiP+aIetQbEOAl9MUsLtCuS8wi9RyEu5bIlIiIkuDxYhcfVDVsdimBwOArzDXqoEEBS1YPI7D3Ny+BGYSxjnsoHUh8FtsgX8llYPjq8tAE1sWicgnqZOq+hmmCLTDrCGpl2l+kih7Jhb7tBT4B3CTqr6W3oCqLsLius7G5vh92KYFK9Pz5uBizC1zCbbZwtNp6Y9g1pevQ1+aB4XvLuAlbGy3Bd7M1YiqLsd2mNsNm7vfYjuk7V0DWR3HcRynSeHbLzdygvXmOlXdJe38MIroRX6ybvvl9qo6u4rsDQIRuQ34iaoeV2hZiokwN1ep6sV1UPft2DU5usrMTQf/J+DkjUyuZf369SuAJI5T1NSJ7eSgS+dV+r1/8/7tit5G465ljZiw89WVmHuNU4+ISDPsafqUKrI6CURkZ+B0bJvxfNR3NPARZlk6GLOw/C4fdTuO4ziOU1hckWmkiMhV2G5LY7G4g7pu72yyx8pcoomXLTYR5mIWpCsKLUixEGLAfo69YDVfL6bYA3N/bIO55Q2gdq5wjuM4jlPUlEdFb4BZD3ctcxzHadr4PwEnb7hrmePkhTrRODpf9mWl3/u3B21b9JqNB/s7juM4jpMXunTpkvO74ziFY03apzHgrmWO4ziO4+SFY445BoC3336brbbaau13x3GcusAVGcdxHMdx8sYxxxzD6tWrCy2G4zhpNMYYGXctcxzHcRzHcRyn6HCLjOM4juM4eSMZ8H/iiScWUBLHcZKsaXwGGbfIOI7jOI6TH9J3Lcu0i5njOE6+cIuM4ziO4ziO4zRy1tTNrs4FxS0yjuM4juM4juMUHa7IOI7jOI5TZ9x1112FFsFxHGB1VPnTGHBFxnEcx3GcOmP+/PmFFsFxnEaKKzJNABHpLSKjCi1HfdIU+5wNH4u6R0SmiMgFhZbDcRzHcbKxOooqfRoDHuzfABGRLsArqpqX66OqffNRT74JC78/qOoP8113Q+1zIUgfCxEZj82vPoWRyHEcx3EcZ8NxRSbPiEgLVfVXGleBiLQotAyNHRGJgOaquqbQsuSb2txnItIciFW1oo7EchwnC/3792fZsmWsWrVqvbRNNtmEjTfemM0224zddtuNTTfdlI4dO1JSUlIASR2n8dIYF6euyFQTEWkF3AycArQFZgGXALcB7wOlwOFAfxG5DLhCVZ9LlH8UWK2qF4nIMKAFUAGcBCwAblPVYSLSDngRaC4iS0Pxy1V1uIjsCdwN7AMsBIYAt6tqeRWy3wwcrKpHhu9lwCPAEcB+wHTgbGD30J+2wNNAD1VdIyKlIU934FpgW2A80F1V54c6twIGAkeHZl8GrlbVbxJtDgEOC23+EbgJ2DjRzxOAD4CHwlhuBMwOcryeq4/V6POVwKXADtjYPY5Zg8pFZADQSVVPTpTvAowCtgNiYARwINASmAL0VNVxWdreMlcfRORk4AbgB8BcoI+qPp4ofyjQB7seFcBoVb0gk6UuQz9j4Crg3FD+MBE5JpVHRO4DDgF+KiK9gDnAydi475i4nhEwDbhRVR9LtHckMCDIvgp4P9F2S+BW4FRgc2ACdh9MCektgN8D5wPtgPlhHJ8J98QaVe2WaKssXKMRKesd8CBwJfAtsLuI7AHcCewLrMCu642qujoxb7sBvw0y7xTG8TqgA7AM+AdwjaouS7T7EHZ/HACUARer6luJfvQHzgnXZyBpiMipwI3Y70IZcHPq9yDRl78EuTYP/bo9tHsU8AXQTVXfSK/bcYqRhQsXZk1buXIlK1euZMmSJWvjaZo1a0aPHj1cmXEcJyceI1N9BmOLmiOANsAvsEUoQFfgz9iCZGDIm1yQbQ6cBjycqO8MbLH/fUwhul9EDlTVL4BjgXJVbRU+w0Md44BXscX18aHda2rZn/OBy4AtsUXsc5iSsRfw49C/M9PKnAf8DGiPLeBGJNIeD3XtGj5bA4+lle8e5G2NKWQ9gGmJfo7HFrotgZ2ALYBfYooAInKwiCzK8fkwR39nY+PaBlMeu7LuGg0FjhORton8FwJPhcVtM+BZoBOwFfBXYGRa/iS5+nAUNj+uwq79+cB9IvKzkL4nNi8GA9tjYz0sR78ycRF27VoBE5MJqnoF8DqmOLdS1V1UdRLwdpAlxVFB9mfS6n6UdXN9B0zhSvEw8COgMzZH3wFGJ6xvfbDF/+nYdTgUmFyDfpViClAnYD8R2QZ4Dbs2OwA/DXJfl1buV5hS2Rp7aPBtOLcFptQdgikWSboCvwn9HAcMT6T1wpTuAzFlqBS71gCIyIHY/dALmy+9gb+KyAGJOlJzoyNwMPBr7AHGAOw+ehabl3XOkiVL/NiP8368oVRUVDBt2rQG0Rc/9uNivY/SWR5FlT6NAbfIVIOwYDoD2ENVp4fTqafMAM+o6r/C+eUi8gjQS0R2UNU52KJpqqq+naj2bVVNKQKviMhI4ALgrSxiHI89Ae+jqjEwSUT6Y4rBgFp066GwgEVEnsAsMp3Dwn1ZiKMQbEGW4hZVnRfK/B74X7AgAfwc2FlVF4b0a4DPRGR7VU0pfA+ramphvSKMXTqrsMXfLsBEVV270A1Pp7eoRV9R1ZGJrxNF5DFMKX1QVT8VkYnYInugiLTGFM+jQ9mlVFbaBohIT8yy9EJN+oBZE+5JWJgmiMgITEn8N6bcjVLVYYky42vY3T+p6tRwXJ5lnNN5CLiedXPpImCEqq5Iy7cKs2xsG+bCeAAR2Rqb5zup6pfh3C2YwnaAiLwJXA6cqaophXN2+FSX1UAvVV0Z6r8M+EBVHwzpc0Tkdsxacmui3Np5G3gxcTxFRAZh45/kQVX9JLTzCHCViGyuqt+GvP0SlqbfYeOV4gJgpKqm2hkjIs9hytE74dyKIFcF8IGIfAC8m/qNCHPiukSbdUbr1q392I/zfryhNGvWjI4dOzaIvvixHxfrfdQUcEWmepSGv9meHpclv6jqTBEZhz3V74M9+X84V5nwfd8cMrQHZgQlJsXUcL42zE0cL8csQAvSzqXfTWUZjneEta+KnZ5ITy2k2yfaSpbPxgDM7W44sL2IjAauTS2Oa4uInIUpfR2xeb8xZoVIMRRzPRuIKa2zVfXNUHazINdxmKWpAhubbBaZXH3ogLl7JS1pzTErCdhcq2RFqQVltSjzDHCPiBwMTMLczfbLkO8kzMLwkYgswBTiu7F+AXyYpji1wOZAW+B71MwCk87clBIT6AAcJCKLEucibDyTlCW/BKvYjZj1aJOQP31/2OT9sSz8bY1Zc3ZM1qmqy0QkWb498N+0+qZS+f6enxars5z178lkm45T1Gy55ZZZ3cs8RsZx6ocVjcMIUwlXZKpHWfjbCfg0Q3qm4OEHsaf7Y4DdWN/NqjTD99TT6Uz1zcL8+6OEMtMxnK8vSlmnoJSGv7PT0qeE447hb1K+9H6t189gEboeuF5EtsMsIQOA80TkECo/TU9nhqrunn5SRNqHek4BXlTVVSLyJ8zilOJJ7Hrtiz1RT7r1XIO51B0BlKlqLCJfsU6Bq3YfgBnAMFXNZkUrw+ZZJpZgsVObJBb07TLkqyqYPdO4fyciwzHLwgdY7Mt6rnqq+gFwZoihORgYG1z6Pg5ZOqUpxMDamJvlWN/+l6VvWyfybwRsU4XcM7CYoeMz9jJDORHZGPg7Fus1RFVXiMgVwO+qqCPJHBL3r4h8j8pK7SzWv7/r+151nAZFz549AfjLX/7CrFl2K2yyySbccssthRTLcZwixxWZaqCq80XkGWBQCNSdgbnX5GIMMAiLdRiZcrlK0DlYCZ7CYgVOBY4MafOwBWuHhCvbGCyupHcITu8A9MQUpvriBhH5GHOL6Y8tIr8AEJGxwJ0icj62wL8TUxrmZq3N+rmNiLRR1cWhnhMxZWgysBT4DigHCO5YrWohdysszmUBsFpEOmPB8JNSGVR1UXD/6YPFeJyRKN8GWAl8jW1O0JMcLm65+oBdw2Ei8jbmRtgci0mKVFWx6/mOiJyLzY1mwAEhfihVXzcRuR+L0TgNeK+G4zEPyLTl9UOAhnrXU7SCEnAWMEZVvxKRhZiSUB7ukSewe+QqVZ0jIltgcVfjVHVpcOG6Q0RmAp9gcS3fDwrTf0NaByzQ/VbMmpOLR4HfikhX4AnM7a0Uc3F8KUuZjTErzMKgxOwGXFFFO+k8Bvw+uF9+AdxB5XjD4Zi76GPAK5iL4ilAlxq24ziNjssvv7zQIjhOk2VV5uevRY0H+1efrtjuZK9hT4+fxwKaM6K2k9hgbIexdLcysEXqcdgOWoOxncneDGUnA/dj8ROLROTc4Cd/NKbsfIkFhD8K3JWPzlWTEZgL1CxsQXhuIu0cbFw+Bz4DFrF+3EE6r2KB1NNDPw/FFMRRwGLMOrECU9hqTYgFugm7ZouwIOy/Zsg6FNsQ4OU0BeyuUO4LzCK1nIRrkYiUiMjSYDEiVx9UdSy26cEA4CvMnWggQUELFo/jMDe3L4GZhHFW1SWYu+JvMXejK6kchF5dBprYskhEPkmdVNXPMIWiHWahSr1M85NE2TOx2Kel2G5fN6nqayGtO3b9x4vIEuAjLLA/ZUG8Hpv3f8fmynjWKVSPh/rew8Z4Jmb5yEqIezkMc4Mrw+6l51hnDcxUZik2tneEPvwFU4Jqwu3Y/fc25k45E3u4kWrjTWzjhD8Fme4AzkmLkXMcx3EcZwOJ4jiuOpdTK4L15jpV3SXt/DDStpptyMi6bWzbq2pNgrMLhojcBvxEVY8rtCzFRJibq1T14kLL4tQb/k/AyRu9evXKeL5fv371LInjFDV1YjqJrvqm0u99fPf3i95E465ldUTY+epKbKtapx4RkWbA3qyL13GqgYjsjFlQDqgqr+M4TnXp0qVLoUVwHAfqSD0qLK7I1AEichXQFxiLxR3UdXtnkz1W5hJNvGyxiTAXsyDVNPahyRJiwH6OvWD146ryO47jVJdjjjmm0CI4jtNIcdcyx3Gcpo3/E3DyRibXMncrc5waUzeuZdcsrOxadteWRW+j8WB/x3Ecx3Ecx3GKDldkHMdxHMfJC+nWF7fGOI5Tl3iMjOM4juM4eaNfv36MGjWq0GI4jtMEcEXGcRzHcRzHcRo7UdGHxKyHKzKO4ziO4+SN/v37s3DhQjbZZBNOPPHEQovjOE4jxmNkHMdxHMfJCyklBmDlypX079+/wBI5jrOWKO3TCHBFxnEcx3GcvJBSYrJ9dxzHySfuWuY4juM4juM4jZ5GYoZJ4BYZx3Ecx3Ecx3GKDldkHMdxHMepM2666aZCi+A4DniMjOM4juM4Tk1YuXJloUVwHKeR4oqMU9SISG8RaVJvXmuKfS4kIvKAiNxXg/zjReQPdSmT4ziO49SYRmiR8WB/p14RkS7AK6qal7mnqn3zUU++EZELgD+o6g/zXXdD7XOhEJEybKxH1EX9qtqjLup1HMdxHGfDcEXGqTYi0kJVVxdajoaOiLQotAzFgM+n6uHj5BQLM2fOzJrWq1evjOebNWvGZpttxnfffccmm2xChw4dOPTQQykpKakrMR2nCdNIzDAJojiOCy2DU2BEpBVwM3AK0BaYBVwC3Aa8D5QChwP9gcuAK1T1uUT5R4HVqnqRiAwDWgAVwEnAAuA2VR0mIu2AqcCmwLJQ/HJVHS4iewJ3A/sAC4EhwO2qWl6F7DcDB6vqkeF7GfAIcASwHzAdOBvYPfSnLfA00ENV14hIacjTHbgW2BYYD3RX1fmhzq2AgcDRodmXgatV9ZtEm0OAw0KbfwRuAjYGlocyJwAfAA+FsdwImB3keD1XH6vR5yuBS4EdsLF7HLNQlIvIAKCTqp6cKN8FGAVsB8TACOBAoCUwBeipquNC3tuw63iAqq4QkR8B7wCnpfJkkO8UoDfwQ+A7YLCqXp+yUgEPAlcC3wKjgR+p6kmJ8ocDfwe2D+P5CnARcCvQGvgHNgeXBhe744FVwBrgLVU9WkRaArdjc3oz4A3gN6qacaWV7R5Q1dfDnF6jqt1C3hi4GrgA+AGg2HyZEtLHA//F7pujgfnANar6fKK9k4EbQvm5QB9VfTykrTdOqrp7JrnzhP8TcDaYmTNn8sADD1BRUbHBdUVRxKWXXurKjNOUqRONI7p2caXf+/iONkWv2XiMjAMwGDgAW/y3AX6BLa4AugJ/BjbHFvODgW6pgiKyOXAa8HCivjOwxf73MYXofhE5UFW/AI4FylW1VfgMD3WMA17FFtfHh3avqWV/zscUri0x5eE5TMnYC/hx6N+ZaWXOA34GtMeUsKSb0uOhrl3DZ2vgsbTy3YO8rTGFrAcwLdHP8cDvMWVhJ2AL4JeYMoOIHCwii3J8PszR39nYuLbBlI6urLtGQ4HjRKRtIv+FwFOqugz7DXgW6ARsBfwVGJnIfzPwNfCXoBw8A9ydQ4k5Fhgeym0N7Ay8mMhSCrQL7e2HKXbHisj2iTzdgCeCfADNgROBPbHx3xm4C0BVTwRmAt3COKeUzYFA5/DZCfgKGCUizTPJTe57IBMXY/N+G+AT4B9pdZ8P3IndN/cBw8P4ISJHhfauwu6R84H7RORnOcapzliyZIkf+/EGH0+bNi0vSgxAHMdMmzatzmX2Yz9u6Md5x2NknMaGiGyDKR57qOr0cDr1ZBngGVX9Vzi/XEQeAXqJyA6qOgf4FTBVVd9OVPt2Il7hFREZiT29fiuLGKkn6n1UNQYmiUh/TDEYUItuPaSqk0IfnsAsMp3DwnhZeGIumIKS4hZVnRfK/B74X7AgAfwc2FlVF4b0a4DPRGR7VU0tdh9W1YnheEUYu3RWYcrCLsBEVZ2cSlDVNzDlpsao6sjE14ki8hi2IH9QVT8VkYnAOcBAEWmNLcCPDmWXUllpGyAiPbHF8wvBqnMWMBF4E5gH3JJDnF8DD6jq6PB9MWYNSbEa6KWqqW2MporIv7HFfD8R2RJT8A5Oq7enqn4LfCsiNwKjRaSHqq63chKRZqG+E8McRUSuAr4B9gf+k5Y/6z2QgzsTFphrMUvYAayb439T1bdC+kOY4tUJU6yvBO5JWOImiMgITJn+d5ZxqjNat27tx368wccdO3akWbNmebPIdOzYsV7l92M/bojHTtW4RcYpDX8nZ0kvS34JrjnjsKf6YE/PH85VJnzfMYcM7YEZQYlJMTWcrw3JJ+nLMQvQgrRz6b8UZRmOd0zIMD2RPjX8TcqXLJ+NAcA/MYvFAhEZLiLbVqNcTkTkLBF5V0S+FpFvgcsx96gUQzFFEmzBPltV3wxlNxOR+0RkmogsFpFFmPVpbfmg4D0F7A38MZPykKCU7HMJYG6GxfmDmBUJTOGapKr/TcszI3FcBmyCWXwy0Takr71mQWGbT+Y5VRr+5pI7nbJE3csxF8rkHJ+bSE9ZllJzrgPQM2lxw65Pu2T5+lBiHCdflJSU0KNHzffFaNasGd/73vdo3rw5LVu2ZPfdd3e3MsepMxqfScYtMk5Z+NsJ+DRDeqZF64PY0/0xwG6s72ZVmuH77Bz1zQJ2EpEoocx0DOfri1LWKSil4e/stPTUU/qO4W9SvvR+rdfPsKC9HrheRLbDLCEDgPNE5BAqu2ClMyNTnISItA/1nAK8qKqrRORPmMUpxZPY9doXWzAPTaRdg7nUHQGUqWosIl+R+IUTkUMxxXUI5mK2X2Jxnk4ZNpeyken6/x24N7RzETa/0tmJytdnJeYulqnOBSG9lHXWxVaYG1imOVUW/ma7BzJRmjoILmNtqTxfcjEDGKaquayN+fHRcZx6JJfy0a9fv3qUxHGcpoIrMk0cVZ0vIs8Ag0KQ8QwsADkXY4BBmJ//yJTLVYLOwR3pKeBQ4FTgyJA2D2guIh0SbjxjsLiS3iE4vQPQk8wL2rriBhH5GFiBbWrwSojpQUTGAneKyPnYAv9OTGnIFUMxD9hGRNqo6uJQz4nYwnoysBQLhC8HCG5GrWohdyvMsroAWC0inYFzgUmpDKq6SESeA/pgMSNnJMq3wRb9XwMbB7eyLVKJwWL0V8wdajjwEnA/5gaVib8AT4rIq5jlriWwZ3Cdy4iqrg4B9QMxZeKJDNluF5Fu2EYRNwOPJSxD80goT6paETaguE1EPgUWYdfsM2BChvaz3gMp97EMXB1cFOcA/YBp2CYI1eFuYJiIvI25ojXHYrciVdVq1uE4juM4NaNxGGEq4a5lDphbz/vAa8AS4Hks6D4jYSexwdgOY+luZWAKzHFY3MBgbGeyN0PZydhCeEJwqzk3xD4cjSk7X2IbBTxKCOiuJ0YAr2NP7DfGlIEU52Dj8jm2GF5E9oV8itRCfnro56HY4ngUFjdShilNPTdE6BALdBN2zRYBvTDFI52h2IYAL6cpYHeFcl9gFo/lQbZUrMnjwFhVHRoUh3OAI0XkopDnbBFZmpBnDGZV6YvFpHyOxRhVxcOY69pTYT4kKceU3Y9CfdOovBFEH+AcEVkoIimr1tXYbmLvYpsBbA/8IrULnoi8KCIPJOqo0T2A7Yz3LKZA7gWcVNUOeylUdSy2OcQAzKo0F1PiaqPIOo7jOE6TxbdfdmpFeHJ9naruknZ+GImtahs6sm775faqWl3XoIIitiXyT1T1uELLki9E5HtYDMtRqSD5cL4LeXyBaj4I2y8fksvKVGT4PwEnb2R6X8wmm2zCLbfk2iPEcZw06mb75euWVN5++fbWRW+jcYuMU2PCzldXYtsyO/VIsJLsTdW7ahUNIhJhWxF/mlRiHMdpHLgS4zhOXdFgnnI6xUHYxrYvMBZ7B0hdt3c22WNlLkm9RLAJMRezIF1RaEHyQdj6eBpmjTm9wOI4juM4TiOm6A0w6+GuZY7jOE0b/yfg5I1MrmW+Y5nj1Jg6ci1bmuZa1qroNRt3LXMcx3EcJy+kv8zPX+7nOA2IxvcaGVdkHMdxHMfJD9dff/1a5aVFixZcf/31BZbIcZzGjMfIOI7jOI6TN66//npGjRpVaDEcx0knaiRmmARukXEcx3Ecx3Ecp+hwi4zjOI7jOHkjGfB/4oknFlASx3EaO26RcRzHcRwnL6TvWpZpFzPHcZx84RYZx3Ecx3Ecx2nsNL4QGbfIOI7jOI7jOI5TfLhFxnEcx3Ecx3EaPY3PJOMWGcdxHMdxHMdxig5XZKpARHqLSJPaEL8p9rmpICJni8gHhZbDcRzHcZx6Jkr7NAIanWuZiHQBXlHVvPRNVfvmo558IyIXAH9Q1R/mu+6G2udCISJl2FiPKLQsG4qqPg48Xmg56hsRGQasUdVuhZbFcRzHcZz80KAsMiLSotAyFAM+TtXDx6nhUczXpJhld5xCct111zFhwoRCi+E4TiO0yERxHNd5IyLSCrgZOAVoC8wCLgFuA94HSoHDgf7AZcAVqvpcovyjwGpVvSg8WW0BVAAnAQuA21R1mIi0A6YCmwLLQvHLVXW4iOwJ3A3sAywEhgC3q2p5FbLfDBysqkeG72XAI8ARwH7AdOBsYPfQn7bA00APVV0jIqUhT3fgWmBbYDzQXVXnhzq3AgYCR4dmXwauVtVvEm0OAQ4Lbf4RuAnYGFgeypwAfAA8FMZyI2B2kOP1XH2sRp+vBC4FdsDG7nHMQlEuIgOATqp6cqJ8F2AUsB0QAyOAA4GWwBSgp6qOC3lvw67jAaq6QkR+BLwDnJbKk0G+U4DewA+B74DBqnp9ykoFPAhcCXwLjAZ+pKonJcofDvwd2D6M5yvARcCtQGvgH9gcXBpc7I4HVgFrgLdU9WgRaQncjs3pzYA3gN+o6swsMv8GuBrYGlgMDFfV3tWcHy2DbKcCmwMTgnxTQnoL4PfA+UA7YH4Y42cyyHEBwZInIscDQ4EdVHV1SG8FzAOOV9XXRCQOcl8A/ADQIFuq7f8DrgM6YPfcP4BrVHVZSC+j8tztBkwC/ozdM82Bt0N/poYyw8L51WF8lwG/C+UeBn4U5DhbVb+oaoxE5FrsngFYGf5uHubvycANoW9zgT7BakWW+bQH0Ae4EJsrXwN3quq9KWswWeZSqHMr4A7sXt8UeBX4tap+mRj/m0n7razpPVxD6v6fgNPomTBhAu+++y6zZs2qMu8mm2zCLbfcwsyZM5k2bRodO3akpKSkHqR0nKKhTtSM6MbllX7v41tbFr06U18WmcHAAdjivw3wC2zRANAVW9Rsji3mB2OLHQBEZHPgNGwBk+IMbLH/fUwhul9EDgyLmmOBclVtFT7DQx3jsEXDdtjCtCtwTS37cz6mcG2JKQ/PYQu1vYAfh/6dmVbmPOBnQHtMCUu6KT0e6to1fLYGHksr3z3I2xpTyHoA0xL9HI8tZlsCOwFbAL/ElBlE5GARWZTj82GO/s7GxrUNpnR0Zd01GgocJyJtE/kvBJ4Ki9lmwLNAJ2Ar4K/AyET+m7HF4F/CYvQZ4O4cSsyxwPBQbmtgZ+DFRJZSbDHfCVs4PwQcKyLbJ/J0A55ILbaxRfOJwJ7Y+O8M3AWgqicCM4FuYZxTyuZAoHP47AR8BYwSkeYZZN4Z6AecoKqtsQX8P9Ky5ZofqcV7Z2z+vgOMTlgI+gDnAKdj1+hQYHK6HBl4CVPOjk+cOx1TZP6dOHcxdg9uA3wC/CPRz2+BX2Hz7ZDw+UNaO8m5+zy2cL4ZU4xLgaVp/SW0NxK7x28LY3ArNqe3DXXcksifdYxU9Q7sHhueuF/KReQo7PfmqtDO+cB9IvKzRL2lVJ5PR4V8B4RruT+mxKbIOpdEJMIU6BhTiHYClgBPJMrn+q10nAbJhAkTePbZZ6ulxACsXLmSG264gQceeICXXnqJBx54gJkzMz4DchwnrzQ+k0ydx8iIyDaY4rGHqk4Pp1NPcwGeUdV/hfPLReQRoJeI7KCqc7BF0lRVfTtR7duJeIVXRGQk9sT4rSxipJ6o91HVGJgkIv2xxdWAWnTrIVWdFPrwBGaR6RwWxstEZDwgVI5FuEVV54Uyvwf+FyxIAD8HdlbVhSH9GuAzEdleVVOLmIdVdWI4XhHGLp1VmLKwCzBRVdcuZlX1DWyxWWNUdWTi60QReQxbaD2oqp+KyERsIT1QRFpji9CjQ9n0ReoAEemJLQpfCAvKs4CJwJvYIjq5QE3n18ADqjo6fF9M5YXkaqCXqqaevE8VkX9ji89+IrIlthg+OK3enqr6LfCtiNyILYJ7qGpFugAi0izUd2KYo4jIVcA32ML2P2lF1mC/GLuLyAxVXYRZIZJkmx+rsHtgp8RT+1uwxfcBIvImcDlwpqqmlNHZ4ZOTMPaPYYrn38PpC4Gh4T5JcWfCAnMtZpU7ALNOJZXIKSIyCFPKklSau0BSaV4Z+vORiLRU1ZSF8V+qOia0+ShwP/CYqqYU82cwBQkR2TrXGFF5fiS5ErgnYe2YICIjgvwpRa7SfBKRVZglZXcRWRCsZvPT6s04l4B9gZ8ARybquxb4SkR2xK51xt/KumTJkiW0bt3aj/241scff/wxNWX16tVrjysqKpg0adJaq0xD6Zcf+3Ghj52qqY9g/9LwN9sT4rLkF1WdKSLjsAVVH+zp+cO5yoTv++aQoT0wI21xNjWcrw3JJ6TLMQvQgrRz6bOwLMPxjqxTiacn0qeGv+0TbSXLZ2MA5nY3HNheREYD16YWd7UlKBrXAB2xObMxlRfiQzHXs4HYQmy2qr4Zym4W5DoOs6BUYGOz1oKjqvNE5CngN8DhmZSHBKWYBSwbcxNKTIoHMdeifpjCNUlV/5uWZ0biuAzYJMibvkglyL4JiWsW3NDmY9eskiKjqtNE5GxsjB4J1q9bVXVsWpvpxzuyzu3nwzTltUVoqy3wPapngcnE0FD3Nth1ORBTCpKslU1Vl4vIgiAbwapxI2YN2QSzSKSPWVnyi4j8AJsTB4Q2U31sy7rrsPYeC21WOkfle6xD+JttjLLRATgsPDhI0RxIunFVmk+qOl5EemNWp6dE5G2gt6pqoky2udQhHH+ZJud3QAmm8ELtr2WtSP7D9GM/rs3xHnvsweTJNZu2LVq0oLy8nIqKCpo1a8auu+7aIPrix37ckI7zTuMwwlSiPhSZsvC3E/BphvRMi9YHsaf7Y4DdWN/NqjTD99QT6Ez1zQJ2EpEoocx0DOfri1LWKSil4e/stPTU09eO4W9SvvR+rdfPYBG6HrheRLbDLCEDgPNE5BAqu2ClM0NVd08/KSLtQz2nAC+q6ioR+RNmcUrxJHa99sUsY0MTaddgLlNHAGWqGovIVyRuJxE5FFNch2AuZvsl3L7SKcPmUjYyXf+/A/eGdi7C5lc6O1H5+qzE3MUy1bkgpJeyzrrYCnO9yjinVPVZ4FkR2RhzC3w+xEukKCXz/EgtbjulKcuEdiNsUd8J+F+mtnOhqp+JyH8xBW9LbMe/dGtOSp5ULEpbYHboy9+x2J4hajFOV2DxLEnSx+8B4AtgT1X9WkT2AD6i9j+xKcUh4xhlkSFVbpiq5rLKZrrPHgIeCmNxM+Y6mXTwzzaXZmDxPt/PYunbJtUPMv9WOk6DZP/99wfwGBnHceqdOldkVHV+cAMZFIJnZ2CBtbkYAwzC/MVHplyuEnQOVoKnsHiAU4EjQ9o8oLmIdEi4Z4zB4kp6iwWndwB6knlBW1fcICIfY641/bEFYypQeSxwp4icjy3m7sSUhly+8fOAbUSkjaouDvWciC2sJ2NxB98B5QDBfaZVLeRuhcW5LABWi0hn4Fws8JpQ9yIReQ6zoHXGrDIp2mALua+BjYNb2RapRBHZFoubuRKzJL2EuRGluyel+AvwpIi8isU9tcQWxNnch1DV1WIB5AOxReITGbLdLiLdMLehmzE3ptRicx4J5UlVK4K7020i8imwCLtmn2FB5pUQkV2wOfdv7Pp/i1khkovZXPPjCez+uUpV54jIFlhM1rhgCRoE3CEiM7EYlh2wxXKuuKckQzFrWGssziqdq4O75BzMqjUNi0HZDLMwLAxKzG7AFdVorw2mdC0KbmG3VlPOjITfmJxjhF3DziLSLHFd7waGBavKW5g15sdAlGZhWYuI7I/1eQI2r5cQ7rEEGeeSiCgWU/dnEbkpKHFtgSNU9clcv5Up1z7Haajsv//+7L///vTq1Wu9tH79+mUsU1JS4gqM4zgbRH0F+3fFdid7DfvH/zwWkJsRtZ3EBmM7jKW7lYEpMMdhvvqDsZ3J3gxlJ2ML4QliQeznBn/1ozFl50tso4BHCUG49cQIzGVlFuaadW4i7RxsXD7HFsOLyL6QT5FayE8P/TwUW/SMwuJGyrBFcc8NETrEAt2EXbNFQC9M8UhnKLYhwMtpCthdodwX2FPq5UG2VKzJ48BYVR0aFpjnAEeKyEUhz9kisjQhzxjMqtIXi0n5HIsxqoqHgb2xTQi+TUsrx5Tdj0J906i8EUQf4BwRWSgiKavW1djOWe9imwFsD/wizF1E5EUReSDk3Rhzv5obxuI3wKmq+l2ijVzzo3uQa7yILAlyns46l6zrsXvi79g8Go/t6Lbe+GXhScwK2Aq7zuk8glkdFmAbWpykquVBQbgUU6KWYkpmJiUxnauxTQEWhz6Pzp29WlQ1Ro9gLnhfh/uleXDt645ZLb/Crs9Aciv8rYB7Qv6vsd+V5MYeWedSmN8nYQ8r/hvkfBvokihfo99Kx3Ecx2nK1Mv2y7UhPJG8TlV3STs/jCJ6sZ2s2163fQaXnQaJ2JbIP1HV4wotS74Qke9hsRtHqepbifNdyOMLVGshVykNeH6Ibb98SC6Ll2MUei5tAA3zn4BTlNTEIuM4TlbqZvvlm1dU3n755s2KPmqmQb0QM4XYzldXYtsyO/VIsJLsTT3sllRfhDiSq4BPk0qM4ziO4ziOU7w0uCeHYtvY9gXGYu8Aqev2ziZ7rMwlGl6O14SYi1kIqhPr0OAJAdTTMGvM6QUWx3Ecx3EcpzBERW+AWY8G61rmOI7j1Av+T8DJG+5a5jh5oW5cy275rrJr2U2bFr1m0yBdyxzHcRzHcRzHcXLhiozjOI7jOHkh3fri1hjHceqSBhcj4ziO4zhO8dKvXz9GjRpVaDEcx0mn6B3J1sctMo7jOI7jOI7jFB1ukXEcx3EcJ6988sknLF68mAULFtC1a9dCi+M4DtAYTTJukXEcx3EcJ28MGTKERYsWUVFRweTJkxkyZEihRXIcp5HiFhnHcRzHcfLG5MmTc353HKdAND6DjFtkHMdxHMdxHMcpPlyRcRzHcRzHcRyn6HBFxnEcx3Ecx3GcosNjZBzHcRzHcRynseMxMo5T/IjI2SLyQaHl2BBEZI2IdCm0HE0REdlRRGIRKa3jdn4uIq/XZRuO4ziOU8y4Rcapc8KC+xVVbRDzTVUfBx4vtBwNDRHpCPQHDgFaAQsBBc5U1VWFlC0bIjIMOBtYCVQAc4B7VXVQIeXaUEQkAgYCVxRaFsdxHMdpqDSIhaXTcBGRFqq6utByNAQKMRb13OYLwFhgF2AxsANwAgUwRoeFfHNVXVON7MNVtZuINAN+CTwtIp+q6vg6FbJuORrYGHi10II4Tk146aWXcqb/7W9/Y+LEiRnTmjdvTsuWLdl6661p2bIlrVu3Zt9996WkpGRtnpkzZzJt2jQ6duxY6bzjOE0TV2SaKCLSCrgZOAVoC8wCLgFuA94HSoHDgf4ichlwhao+lyj/KLBaVS8KT8VbYE/ETwIWALep6jARaQe8CDQXkaWh+OWqOlxE9gTuBvbBnv4PAW5X1fIqZD8C6AvsDKwB/gn8RlXnh/TxoQ8/BLoAM4DfqeqLIf0C4A+q+sMq2ukCvAJcCNwSxqm1iJQAdwEHAzEwCvitqi4J5doC/YCjgC2AKcBZqvq5iGyFPWk/OjTzMnC1qn4TypaFcTgM2A/oJiJjgPuAE4ElwI1pcu4D3Av8GCgHPgOOV9WFufqXVsdWmAJziqp+G07PBh5Iy3cycAPwA2Au0CdYuFLphwJ9gN2x+TBaVS/IZJUTkZuBg1X1yPA9Bq4Czg3lDxORD4FbgVOBzYEJ2Fyckt4HVa0ARorI14AA40O9fYH/A7YBvsQsNneHtFJgOnAecB3QHvgPcL6qzg15tgMeAg4N5e9IG5ONgN7ABcCWwHvAlar6cUgfBjQHVmP32zLgd8Ak4GHgR5jl62xV/SJUe3IYrzi9n47TUHnppZcYP358xrSZM2fyn//8J6sSA1BeXs6SJUtYsmTJ2nPvvPMOl156KSUlJcycOZMHHniAiooKmjVrRo8ePVyZcZyaEDW+IBmPkWm6DAYOAI4A2gC/wBamAF2BP2MLx4Ehb7dUQRHZHDgNW4SlOANblH8fU4juF5EDw8LsWKBcVVuFz/BQxzjsifN2wPGh3WuqIftKzOWmLbZ4bwfck5bnonBuC0zpea6WMQ3NgeMwZWtbEdkU+BfwKdAB2A3YMdV+sAr8I7S7X/h7AaaAgLm0bQnsGj5bA4+ltdkdG4fWwPOYstcptLUnpiw2T+T/C2ZJ+T6wbSi7KsjTS0QW5fgMAlDVr4FPgEdE5DwR2S1YRdYiIkdhc+Gq0Nb5wH0i8rOQvic2BwYD22NKwbAqR7gyFwFnYq5tE1m30O+MzZN3gNEi0iK9oIg0F5EzsTH9PJH0KaZ0tsbG9nYR+Xla8TOBn2FWqO9hylOKxzEFsSTkuSCt7O8xRei4IOPrwDgRaZPIcxowEhu320K/bsUsSNtiCvEtifz7BrnrnOSi0Y/9eEOOP/zwQ7Ixbdo0Pv/886zp2YjjmGnTpgEwadIkKioqAKioqFh7viH03Y/9uC6Onapxi0wTRES2wRSPPVR1ejg9JaQBPKOq/wrnl4vII0AvEdlBVecAvwKmqurbiWrfVtUR4fgVERmJLfjeyiLG8dhiu0946jxJRPpji/ABueRX1TcSX+eJyB2YFSPJ31V1XDh+XEQuDXL3zVV3FnqmrBQichoQqWrKKrJCRG4A3hKR7sBPMGvA1gnLxoehbDvg58DOKWuJiFwDfCYi26csAMDDqjoxpK/EYkCOV9V54VxPbAGcYhW2yG6vqmXA2uuiqv0w61B16IKN/1XAHsAiEbmXddfoSuAeVX095J8gIiOwRfy/gR7AKFUdlqhzfDXbTvEnVZ0KICJbYtdsJ1X9Mpy7Jch3AJCaB+eG6/I9TMG7UVVHpSpMzEuAfwUL1xGY0pXiFlX9KrTxBEFxF5EdMMvkD8P1/DbIMDZR9kKgv6p+FsrcGsofD/w11a6qjgnpjwL3A4+p6uxw7hlMyUqxJebeV+e0bt3aj/04L8d77rlnVotMx44d+fLLL3NaZDIRRREdO3YEYNddd+W1115ba5FJnW8IffdjP66L47zT+Awyrsg0UUrD38lZ0suSX1R1poiMwxZsfbBF2sO5yoTv++aQoT0wI811Zmo4nxMR+QmmkOwFtMRuzVbVkGfHqurOQAXmdpeiA1AiIovS8sXY0/hSYH5CiUmS6tv0xLmpibSUIlOWSG8LbJJ2Llke7LrcALwhIquBEdjCvDrxJWsJC/neQG8RaYkpuw9jAfRDsL4fFpSvFM0xCwRY32u2SlmfssRxh/D3w6Bgp2hB5XnyWIiRaYm5fR0hIren+i8iv8GUhB2xubIZ8ERau3MTx8sw6w2smzMzEunp498+eU5VK4KLYFLGuYn05aE/yTaXJ9oEc7VMWnQcp8FzzDHHAGRUZkpKSta6gdU2RqakpIQePXp4jIzjOGtxRaZpUhb+diKz+0pFhnMPAgPD0+zdWN8dqjTD99k56psF7CQiUUKZ6UhlpSEbTwLPAKer6mIROQGLU6lKnheqUXc6cZqyNQOYrKq7Z8ocFrDbiEgbVU1/op7qWynBAob1OZkGlcfrK8ziUso6pac0WWmwqnUN7f8YsxZMB4aISG9MOcnGCFXtkX5SVZcDw0Tk18De4fQMYJiqZrOYlWFzKhNLsDipTVR1ZTjXLkO+ZN9TykMnVV2QvQvrZA5K1ifA5cA9InIQthPbEcA7qloerB/VfS41J/zdiSzjj127teeCe2Ep1ZvL2ZiI3WeOU1Qcc8wxWa0yAGeeeSZnnnlmretPKkSO4ziuyDRBVHV+WMwNCoHvM7Dg7VyMAQZh8Q8jMwSSdxaRs4CnsKDoU4EjQ9o8bBHbIeHKNgaL/egtIgOwp+89MYWpKtoA3wJLQuB9rwx5Tg6bAozHLAuCBZFvKKOBPwYF4V5gKbYg3z9shqBYsPcjInIFpojsAXylql+IyFjgThE5H1tM3wm8mHArq0RYeD8B3CIiHwMrSHMVC3WNC/FIi7ANEMpD+b5Uw50uuHFdi8WDfI5ZmE4KsqfauxtTbt7GXAabYzFKkaoqdu3eEZFzsXnQDDgg7B42OYxVNxG5HzgQixt5L5tMYZ4+gc3Tq1R1johsgW2EME5Vl2Yosyq4dt0lIkOwuVKObUARi8jxWMzW01WNSahvttjmEXeIyIWYNefGtGzDgGtF5N+YMtcT+20dU502svB3bH45juM4jpMFD/ZvunTFdvZ6DXta/jzmGpWRsJPYYCzoPd2tDGzhehzmEjMY25nszVB2MhYTMCEEmJ8bXK+OxpSdL7F4hUex3cCq4mLMvW0J8CyZF6WDsXiPb7GF56kJJarWBEvF4djT8s9C/f8kWC3CzlknYgrH+5hiMYR1rm/nBLk/D+UXYTEmubgSs7B8BnyEWZ/KE+mHA/8VkWXYjltPsL7FrCpWYbt6PQt8gy38/4DtBvd06NtYzEVrAKagzcU2g2gV0j/A5sCl2DWdSVAew45uFwK/xcbsSmB4NeTqjo3VeBFZEvp/OqZoZeOJ0Iffsm5eTQgynwY8l71oRn6FuffNwtzoHk1LH4DFwozF+n04cHQGi1xNeBnwl546juM4+SNK+zQCojj23T2d6hGsN9ep6i5p54cBa1S1W6Zy9U14gv6KqvYptCyOU1tE5Bigt6r+rI6b8n8CTl7p1Wt9I3m/ftXdc8RxHOpIzYhuX1Xp9z6+buOiV2fctcypFiLSGnuK/udCy+I4TQFVfQnI/XZBx3Ecx6k2Ra+3rIcrMk6ViMhVWJzFWOzFgHXd3tlkj5W5JPkCxjy0tV6cReB1VT02X+04juM4juM4+cVdyxzHcZo2/k/AySvuWuY4G0zduJb1W13ZtaxXi6I30Xiwv+M4juM4juM4RYcrMo7jOI7j5I1064tbYxzHqSs8RsZxHMdxnLxy0EEHAXDiiScWWBLHcRozrsg4juM4juM4TmOn6CNi1sddyxzHcRzHcRzHKTpckXEcx3Ecx3Ecp+hwRcZxHMdxHMdxnKLDY2Qcx3Ecx3Ecp7HjMTKO4ziO4ziO4ziFxxUZx3Ecx3Ecx3GKDldkHMdxHMdxHMcpOjxGxnEcx3Ecx3EaO1HjC5Jxi4zjOI7jOI7jOERRVBZF0R6FlqO6uEXGcRzHcRzHcRo7jc8g4xYZx3Ecx3Ecx3EyE0XReVEUfRRF0YdRFD0XRdE24fx/oijaLxwPiqLok3C8URRFX0VR9L26ls0tMo7jOE2YKIpeBrbOZ50bbbTR1mvWrPkqn3XWFcUkKxSXvC5r3VFM8rqsteKlOI6PyXel8e82qrFNJriZ9QN+Esfx3CiKbgPuBc4E/gkcAbwLHAysiKJoe6AUmBTH8bJ8yZ4NV2Qcx3GaMHXxz1JEVFUl3/XWBcUkKxSXvC5r3VFM8rqsRc9hwAtxHM8N3x8EPgjH/wSuj6LoceBr4DVMsekA/Ks+hHPXMsdxHMdxHMdxaspbwL7A8ZhSk7LQHBGO6xxXZBzHcRzHcRzHycSrwHFRFG0XvncHxgHEcbwSeA/oBbwCvA0cBOwZjuscdy1zHMdx8s1DhRagBhSTrFBc8rqsdUcxyeuyFh+vRFG0JvH9OmBcFEUxMA24JJH2T2A/4N04jsujKJoCTI/jeFV9CBrFcVwf7TiO4ziO4ziO4+QNdy1zHMdxHMdxHKfocEXGcRzHcRzHcZyiw2NkHMdxnA1CRFoCQ4GfAGuA36nq6Az59gaGYA/RWgBvAr9W1ZUNUNaTgBuBTbD3YQ9R1TvrS86EHNWVdwdgBLaD0P/qawtZEdkZGA5shW2/ep6q/i8tT3Pgz8AxQAz0U9VH6kO+Wsh6NNAX+DFwr6r+rr7lTMhSHXlvAP4PKAdWA71V9eUGKuuFwNVABdAceFhV/1zfsgZZqpQ3kXcXYCIwqJDzwcmMW2Qcx3GcDeV3wGJV/SFwIvCIiLTKkO9zoLOq7o0tFLeictBofVBdWecBJ6rqHsCBwKUickg9ypmiuvIuxRSvX9WncMADwF9UdWfgL9g7JtI5G/gh0An4KXCziJTWm4TrqI6s04BuwID6FCwL1ZF3ArCfqu4JdAX+JiKb1aOMKaoj60hgr3D/Hwj8VkT2rD8RK1EdeVNK+IPA3+tPNKcmuCLjOI7jbChnEhYC4ammAsemZ1LVFaqa2smmBbAZ9nS2PqmurO+o6hfh+FtgErBTPcqZorryfquqrwN1/ibtFCKyDWYB+ms49VdgXxFpm5b1TOzpe4WqLsAWhafXl5xQfVlVdYqqvo9ZvwpGDeR9WVWXh68fYtbDrepNUGok62JVTe0w1RL7Daj3HadqMG/BthUeDUyuJ/GcGuKKjOM4jrOhlAAzEt9nAu0zZRSRdiLyPvAVsIT63+602rKmEJEfAZ2ppzdVp1FjeeuR9sAcVS0HCH+/YH35GkIfqitrQ6E28p4HTFXV2fUgX5JqyyoivxCRT7D5MEBVP6pXSY1qySsiewE/BwbWu4ROtfEYGcdxHCcnIvIethjNxLY1qStYOfYWke9hMR2nAE9umITryKesob7tgeeBy1IWmnySb3mdpomIHArcBhxVaFlyoar/AP4hIiXA30XkBVX9vNBypSMiLbCHLBeqarlIvYScObXAFRnHcRwnJ6q6b650EZmJuV0tCKdKsLdB56pzmYj8DYufyJsik09ZgwvKK8Adqvp0vmRMUhdjW4/MAnYQkeZhsdccaBfOJ0n14d3wPd1CUx9UV9aGQrXlFZGfYg8FTiqQUlDjsVXVmSIyATgBi52rT6oj7/bAD4AXghKzBRCJSBtVvbie5XVy4K5ljuM4zobyNCFoX0Q6YW95fik9k4h0FJFNwvHGwElAfbuWVFfWrYBxwH2qOrheJaxMteQtBKo6H3gfOCucOguYGOJgkjwNdBeRZiEO4WTgmfqSE2oka4OguvKKyH7A34DTVPW9ehUyUANZd00cbw0cRv3f/9WSV1VnqurWqlqqqqXA3ViclysxDQy3yDiO4zgbygBgmIhMwbaBvVhVlwCIyK3AF6r6ALZTUU8RSW2/+hrmDtMQZe0F7AxcIiKpndXuUdWhDVHe8FR5BrZd9OYiMht4RFVvrmP5egDDReRGYCEWp4GIvADcqKoKPAYcAKS2t71VVafXsVy1klVEDsYshG2wJ/D/B1xUiC2NqyMvMAjbNOPBhPvTuQWIPamOrBeH7a1XY5sS3KeqY+tZzprI6xQBURzX+4YRjuM4juM4juM4G4S7ljmO4ziO4ziOU3S4IuM4juM4juM4TtHhiozjOI7jOI7jOEWHKzKO4ziO4ziO4xQdrsg4juM4juM4jlN0uCLjOI7jOEVIFEWlURTFURTtWMft9Iii6LHE9xejKLq2Ltt0MhNF0ZQoii6oZt56mR/1QRRFm4S+/6jQsjgNC1dkHMdxnEZNFEUdoyh6OoqieVEULY2iaFYURc9FUbRxSL8giqIpGcplO392WCDelCFtfBRFK0M730ZRNDGKolPrpmd1TxRF3wNuBW5OnYvj+Ng4ju8omFBVEK7NwYWWoylQF2MdRVGXKIrWJM/FcbwSe6fSgHy25RQ/rsg4juM4jZ0XgLnALkBr4KfAy9hL+WrDJcA3wEVRFDXPkH5bHMetgK2AvwJ/i6Jo51q2VWjOAT6K43hqoQVxmjx/BQ6PouiHhRbEaTi4IuM4juM0WqIo2gpTYB6I4/jb2Jgdx/ED4SlvTevbFTgEOB/YHjg2W944jtdgb15vDvw4Q12XR1H0ftq5DlEUlUdRVBq+Dw0WpCVRFH0aRdGvcsh2cxRFr6SdGx9F0R8S3/eIoujlKIoWRFE0M4qi26MoapGjyycD47LVmXBfOj/ItyyKoheiKNoyiqJ+URTND5awyxPlLwhuQj2jKJob8tyZlKOqfkdRtGcURS+FfnyT6ncURR+ELGODVeyRLGPVMoqie0IbX0VR9PcoikrS+nhnFEUjgwxToyg6KdsgJfp0dRRFs0OZP0VRtFWoY3EURZ8lrRdRFG0URdGNURRNi6JoYRRF/4yiaI9Eeosoiu5KjGHPDO0eEkXRiJ2nrgAAB6JJREFUG2EMpkZR9NsoiqqtoEdRdGoURR8E6+EHURT9Mr1PafmHpcY021hHUVQW+vVGOK9RFO2XqY7EubIois6Joqgd8CLQPJRdGkXR+QBxHC8G3gV+Ud3+OY0fV2Qcx3GcRkscx18DnwCPRFF0XhRFu9VkoZeBi4EP4zgejVl6LsmWMTLXtcuB1cAHGbI8AfwoiqK9E+cuAMbHcVwWvr8B7A1sgbl4DYuiaLfaCB5F0TbAa8CzwA6YZeoo4LocxfYFPq1G9acCBwMlQCnwDjAVaAdcCNydVBSAnULejkGOE4HfJ9Kz9juKou1DP14LbW0H9AOI43ivUP7oOI5bxXHcLYu8A4HO4bMT8BUwKqpsYTsfuBPYHLgPGB5FUcscY7BTkLdjGItfY4vyAcCW2LgPTeT/PXAecFzow+vAuCiK2oT0XsAJwIFAh9DXnVKFw3i8EOpvCxwPXAGcm0PGtURRdCDweGhnK6A38Ncoig6oTvkqxroHcCXwfeAZ4IVEv3LV+QX2cKA81NkqjuPhiSwfYXPScQBXZBzHcZzGTxdgPHAV8D7wZRRFN6QpNB2iKFqU/GDWlLVEUbQptvBMLUYHA8dG6wdTXx/KzwZOAk6N43i9WJs4jhcCz2MLfYI85wNDEnkGx3H8dRzH5XEcPwl8GPpTG84DPojj+ME4jlfFcTwHuD2cz8aWwOJq1H1bHMffBMVxNLA6juOH4zheE8fxi8BCYJ9E/grg93Ecrwhua3dgShxQZb/PBabEcXx7HMfLQl8qWaJyEUVRM2yc/xDH8Zw4jpdhc2NXYP9E1r/FcfxWHMcVwEOYQtMpR9UrgFuCPB9gyuu7cRy/HcdxOTAC+GEURZuH/BcC/eM4/ixYB28FyjGFBOy69I/jeEocxyuA3wFxor3LgKfjOH4+jNNnmMKV63omuQAYGcfxi+E6jQGeA7pWs3wuBsdx/N84jlcB/bGxOSEP9S7GlCPHAVyRcRzHcRo5cRx/Fcdx7ziO98WemF8L3EhQIALT4zjeIvnBFopJTgdaYQtSsKfhC4D0p/5/DHVsE8fxgXEcj8oh3lDgV8Gt6vAg37NgC+4oim6Noujz4PqzCNgLe/peGzoAB6Upa0Mwa0A2FgJVPknHYpBSLE/7njrXOvF9fhzHyxPfy4AdoVr9LgUmV0OmbLQFNgGmp07EcbwUmA+0T+Sbm0hfFg6TfUhnflB6/r+9+wmto4riOP79xWhtq5VuKhQFjaAQBaWKG8Eqita/ULPQgIuShXUhRRd1U0FQRPy7cKG1C23TCkLxD4pQ/4CCFEqx9Q8BRS0mqUKsKxGEinhcnDswGXnvzYvB+pLfBx68l0nu3HtnHsyZOeem0pyHarxVG+c3+vAXOQ9VH84rn+t9OFFr70JgvHE8HyVTHtuYt//iGPPnYKGmqzcREcAs5fj+S2vI+jQzwIGMmZktIxHxe0TsJu/wX9Hnn99H1rtMSZojn7ispXPRfxsfAifJ1KotwOvl7jvAOBkkjQFrS3D1JZ0XKfgNWN342fra+xngo0bAdk5ZmKCTz4EFpbL1sK6RpnUBOZ/Qe9zTdH8yEl22QQafJ8s+AZB0FrAOON6m84vkeKMPQ+Vz1YefGttXMz+InQFeaRzPNRFx6UL2X4zU9t/rfILOc13vt8g0wur4zmtX0jA595V6MNh0GXlOmgEOZMzMbAlTFp0/qSxyP70UWI+RF0Sf9tHOKFn3sJkMgKrX1eQTjVsX0r+ScjQJbAPuopZWRt59/pO88B6SNEE+mejkCLBB0pVlnA+Qd+0rk8BVkiYknVmefIxI2tSlzbeBG/seWG9DwFOSVkoaIdOmqlqIXuPeB1yiXCxglaQzJNX7OEeXQKc8+ZgEHpe0vgRUzwHfAIcXaXxt7AYelnRxqafaAQwD75Xte4Htki6StJJMv6tft70I3CPpjtq5PSppY8v97wHGJN0s6TRJt5DnYJU6+QUZcN5ezpXNwLWNNjrN9YSkDeVJ43ZgVW1cR4AblAtbrACeAOoLTsyRxf71cxdJZ5Pft3dajs+WAQcyZma2lP1B3u19k0xJ+QV4BNgWEfv7aGcrcDQi3o2IudrrK2A/XYr+W3gV2Eimt9UvpPeQRfPfk3fnR+kSfEXEJ8DzwAEypelc4GBt+xxwPbkS2TSZNvYWeRe+k73A5SXYWEwz5B36H8gxHiAv1KHHuEtB+HXkQgU/khe+9YUCdgCPKVcCe7nD/h8CPiNXwZol07HuLIHlf+UZcknhD4CfydTCm8rqXJD1S+8Dh8h5miXnDYCImCLrTh4kj/cJMjhqlXoYEQfJWqFnyXPhaeDeiDhUth8jC/Z3kd+dTcAbjWY6zfUu4IXS7t3AbRHxa9n2GhmMHCVT2WbJ41z161vgJeBwSZmrFi8YBz6OiO/ajM+WB2XqopmZmdk/SbofuCYiWq2G1aK9LWShvf8fyBIkaZo8vvt6/W4fba4Apshg8+vFatcG3/Cp7oCZmZn9f0XETmDnqe6HLV9lVbdudVG2TDm1zMzMzMzMBo5Ty8zMzMzMbOD4iYyZmZmZmQ0cBzJmZmZmZjZwHMiYmZmZmdnAcSBjZmZmZmYDx4GMmZmZmZkNnL8BgR5jSw1paQgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# effect on benign\n",
    "shap.summary_plot(explain.shap_values[0], explain.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "minor-differential",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# effect on malicious\n",
    "shap.summary_plot(explain.shap_values[1], explain.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "innovative-heating",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}