Baseline_Model.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Description:** This notebook is used to how different methods score on the raw data set. We just use the basic and needed preprocessing (scaler and encoder) and tried a few. Later on we added a baseline artificial neural network on a slightly different data set. This notebook is just to get an impression of the results and see the performances.\n",
    "\n",
    "**Project Name:** Churn Prediction - Die Zeit\n",
    "\n",
    "**Team:** Carlotta Ulm, Silas Mederer, Jonas Bechthold\n",
    "\n",
    "**Date:** 2020-10-26 to 2020-11-27"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Base model supervised learning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# data analysis and wrangling\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import math\n",
    "import IPython\n",
    "\n",
    "# own modules\n",
    "import eda_methods as eda\n",
    "\n",
    "# visualization\n",
    "import seaborn as sns\n",
    "sns.set(style=\"white\")  \n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.style.use('ggplot')\n",
    "from pandas.plotting import scatter_matrix\n",
    "\n",
    "# warnings handler\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "# Machine Learning Libraries\n",
    "from sklearn.metrics import confusion_matrix, classification_report\n",
    "from sklearn.metrics import fbeta_score, accuracy_score, f1_score, recall_score, precision_score\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from xgboost import XGBClassifier\n",
    "from sklearn.ensemble import AdaBoostClassifier\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.metrics import make_scorer \n",
    "from sklearn.model_selection import KFold\n",
    "from sklearn.metrics import roc_curve\n",
    "from sklearn.metrics import roc_auc_score\n",
    "\n",
    "# Pipeline\n",
    "from sklearn.model_selection import train_test_split, cross_val_predict\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import StandardScaler, OneHotEncoder, MinMaxScaler\n",
    "from sklearn.compose import ColumnTransformer\n",
    "from sklearn.impute import SimpleImputer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 209043 entries, 0 to 209042\n",
      "Columns: 170 entries, auftrag_new_id to date_x\n",
      "dtypes: float64(32), int64(120), object(18)\n",
      "memory usage: 271.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv('data/f_chtr_churn_traintable_nf_2.csv')\n",
    "df.drop(\"Unnamed: 0\", axis=1, inplace=True)\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "null_rel = round(df.isin([0]).sum() / df.shape[0]*100,2)\n",
    "null_rel = null_rel.to_frame()\n",
    "null_rel.rename(columns={0: \"zeros %\"}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>nulls</th>\n",
       "      <th>percent</th>\n",
       "      <th>dtype</th>\n",
       "      <th>dup</th>\n",
       "      <th>nuniques</th>\n",
       "      <th>zeros %</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>varname</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>kuendigungs_eingangs_datum</th>\n",
       "      <td>142754</td>\n",
       "      <td>68.29</td>\n",
       "      <td>object</td>\n",
       "      <td>True</td>\n",
       "      <td>349</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ort</th>\n",
       "      <td>85</td>\n",
       "      <td>0.04</td>\n",
       "      <td>object</td>\n",
       "      <td>True</td>\n",
       "      <td>11475</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>email_am_kunden</th>\n",
       "      <td>12</td>\n",
       "      <td>0.01</td>\n",
       "      <td>float64</td>\n",
       "      <td>True</td>\n",
       "      <td>2</td>\n",
       "      <td>6.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>auftrag_new_id</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>object</td>\n",
       "      <td>False</td>\n",
       "      <td>209043</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>openrate_produktnews_1w</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>float64</td>\n",
       "      <td>True</td>\n",
       "      <td>10</td>\n",
       "      <td>98.43</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             nulls percent    dtype    dup nuniques  zeros %\n",
       "varname                                                                     \n",
       "kuendigungs_eingangs_datum  142754   68.29   object   True      349     0.00\n",
       "ort                             85    0.04   object   True    11475     0.00\n",
       "email_am_kunden                 12    0.01  float64   True        2     6.43\n",
       "auftrag_new_id                   0       0   object  False   209043     0.00\n",
       "openrate_produktnews_1w          0       0  float64   True       10    98.43"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eda.meta(df).T.join(null_rel).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape (209043, 170)\n",
      "numeric features 152\n",
      "object features   18\n"
     ]
    }
   ],
   "source": [
    "print(f\"shape {df.shape}\")\n",
    "continues = df.select_dtypes(include=['float64','int64'])\n",
    "print(f\"numeric features {len(continues.columns)}\")\n",
    "categorial = df.select_dtypes(include=\"object\")\n",
    "print(f\"object features   {len(categorial.columns)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For further information about the data, check the [EDA Notebook](https://github.com/jb-ds2020/nf-ds3-capstone-churn-prevention/blob/main/Capstone_Zeit_EDA.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check for correleations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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tgQNtf0rSCcDnS1x/BPaw/bykNYDrJb3f9n9J+hY1iVy9Ojo6BlK8ZQ2X8xwK0teNs3Deo80OoS2MGTuWCXVct7m2Gyv93Tjt3NdJcGJ1m1Hzek+qxOJOSVBdf4vKvt2BY20vA7D9dE29X9n+fXk9C3hfnfv6cr3tPwJIug14U9n+bqokCdvPSvpRTZ1fAGdKugL4ie37avZdYfslYL6kZ4D/V7bfAfyNpDWpEpk5tu8v+y4EzpU0vryfa/uumnPZo7weBZwuaUdgBFUSNQn4rzrP9a/Mnz9/Zau2jI6OjmFxnkNB+rqxxjU7gDaxbOnSfq/bXNuNlf5unFbq65VJxLIGJ1a352tejwBOtj2p/Pyd7Z1q9vVmSc3rrulh/e1bziuv7zXrbHME1fSwv2L7aOATwDKqEZmD+2hvSamzomwb3Vfb/cR0DDAB+HvbbwV+1MP5RERERARJcKKxrgYOlzQBQNJYSW8r+64Bjiprceg2RW1lPAK8U9LIMkKye531bgQOKDFMAD7UtUPSFrbvtf014HtUU9wGYiYwSdKW5f0BwF22F/dTb33gf20vkfQ3tTEBz1GtJYqIiIgIkuBEA9m+hGrNyc2S7qGavtU1gnMa8Dhwt6S7gW+t4uGuAp4Ffg1cVo5Vj5OAjST9miqJ+RUvT6M7TdJ9Jb73AdMHEpDtp4CPA5eV89+v/PTn68BOku4CvgncULPv/wHbSLpb0rSBxBMRERHRjkZ0dvY1YyZieCmL+EeV0ZJ1gV8Cx9j+eZNDG0ydrTLvdlW00vziVpe+bqzxS1/ghTzoc9XV8aDPXNuNlf5unFbq67IGp6+lDH8lNxmIeKUJwE/KXdLWBC5rs+QmIlrc+DdsxuKxazU7jIiIISsJTkQN208C72x2HBERERGxcrIGJyIiIiIi2kYSnIiIiIiIaBtJcCIiIiIiom0kwYmIiIiIiLaRBCciIiIiItpGEpyIiIiIiGgbuU10REREC1n82MOMyoM+/1odD+6MiOEhCU5EREQLWf7UApaddnyzwxhyxkybDklwIoIkOEOepEOBcbbPGsQ2O4Hxtp8frDZXMo7JwBm2txnIvlU85t3ADrb/LOko4LLycE8knQisY/szdbZ1HXCE7Uf6KbcjcD7wInCM7Rt7KPM3wPeAdwAPDfZ5R0RERAwXSXAGkaTRtpcPZpu2vzWY7Q13tifVvD0K+Dnw5EDakDQS6LT9wTqrfByYYfv0Pso8D3wJWBc4cSDxRERERMTLkuCsojIachywG3Ar8AVJxwH7UPXvH4CDbS+QNAY4FXg/sAJ41PZepZ3e6pxIGVWQ9BCwj+05pc4RwDtsHyhpC+BsYENgDHC27QtLub3LcZ8FrqvjnN4DnAysWeI5xfblZd9NwO3ADkAHYNvTJG0E/LSmmU2pvtQfLelSYAtgLPAwcJDthaXcaEnnlfY6gY/afqDfjq9imc3L1/DGwEzbe/XTF53AeODIEv+VkpYA+3bFXUZmXgc8WGJdVD6HzYB1gDcBu0i6C9jd9n2SXgN8o5z3OOD7tk+V9FngI8ALkqZQRo+6n4vtRcAtZeSq+3lOLfH9EXgr1fVxBHA6sDnV57Gf7c56+g2go6Oj3qItbbic51CQvm6chfMebXYIQ9KYsWOZsBquw1zbjZX+bpx27uskOINjpO3JAJL2o/oivL3tlyQdBpwJTAE+B7yRKilZJmnDOurUuhg4ADimvJ8KHC1pNHAZMMX2g5LGA7MlzaRKar4N7Gh7bkmk+nMn8C7bKyS9GrhD0vU1ScmmwC5UicIjkr5r+yFgUjmftwNXAeeU8kfafrrsOxk4HphW9m0NHGj7U5JOAD7fw3n3qGsal6RNgRuB6X31he0Ha+qeIulgqoTxvtIOwM7AJNtPSLoA+ALQNWVtF6rP7uma8l0uBr5s+5aSyN4g6Xbbp0vaGpht+xxW3rbAW2zPk3RtOcddgT9RfV7voRqNqsv8+fNXIZTW0NHRMSzOcyhIXzfWuGYHMEQtW7p00K/DXNuNlf5unFbq65VJxJLgDI4ZNa/3BLYB7ixfgEcDi8q+3YFjbS8D6Pqi3E+d7se5rSQpWwLrUY0avbn8XF7zpXts2bYCuNP23LL9fGB6P+czEbhA0ubAcmADqhGYWWX/FbZfAhZJeoBqROMhAEmbAFdSJRhda1P2L6MXY4C1gd/UHGuu7bvK61nAHv3E9gqS1gOuAY6zPUvSVvTeFw/23MorXGv7ifL6u1SjMl2uq/nMamNYG5gMTKw55vhyzJ8N5Hz68Cvb88rru4DHy6gPkuZQJch1JzgRERER7SoJzuCoXaw/AjjZ9gU9lBvRS/2+6vyF7d9Juh/4ANUX6hm2OyWNAJ7utr4EAEkfqucEuvkmcDWwd2n/N1TT1bosqXm9gnIdSVoXuBY43vbMsm1n4DCqEaSnJO0LHNJfW/WQtAbVSNEM21eVzb32xUoYQTVtrktvN2UYWcpta/vFQThuT7r300r3W0REREQ7y4M+B9/VwOGSJgBIGivpbWXfNcBRZQoTXVPU+qnT3UXAJ4GP8fLI0VyqNR4f7yokacuScMwE3l5GYyh1+7M+1QhBp6T3UY0O9KlMDbsSuMT2ld3aWgQ8I2kscFAdx6/XecCDtr9as62vvujuOapRsFq7SZpYXk+lmvrWJ9uLqUbSuqbdIWkTSRvXdRYRERERMWjyV99BZvuSkrjcXKYrjQTOBeYApwFfAe6WtIxqwf0+/dTprmtty+22f1eOuVzSHsDZZVH7KOAJQLaflHQIcI2kZwHXcRrTgHMlTQPuKT/92YlqHchGZU0RwKXAWcB+VNPD5gGzge3qaK9Pkl4HHAjcV279DHBjualBj33RQzNfBy6U9AIv32TgBqrpeW+kSpaOrTOkKcBZku4t7xdTJXML6jyfUcBvqabTrSdpHvAd2yfWefyIGCZGT9y4euZLvNIGE/svExHDwojOzrpvvBQR7aGzVRYWropWWkDZ6tLXjZX+bpz0dWOlvxunlfq63GSgt2UePcoUtYiIiIiIaBuZojZM9fDcmi4/tH1So+PpjaRJVOuOujvH9ncaHM4q6/bsni6zbB/ajHgiIiIi2k0SnGHK9pOU59YMZbbvpgXirFfXs3siIiIiYvXIFLWIiIiIiGgbSXAiIiIiIqJtJMGJiIiIiIi2kQQnIiIiIiLaRm4yEBER0UIWP/Ywo+b9ttlhNN8GE1kxYcNmRxERQ1ASnIiIiBay/KkFLDvt+GaH0XRjpk2HJDgR0YMkOC1C0qHAONtnDWKbncB4288PVpsrGcdk4IyebqHc175VPObdwA62/yzpKOCycutsJJ0IrGP7M3W2dR1whO1H+im3I3A+8CJwjO0beyjzN8D3gHcAD+W20hEREREDkwRnNZA02vbywWzT9rcGs73hznbts3WOAn4OPDmQNiSNBDptf7DOKh8HZtg+vY8yzwNfAtYFThxIPBERERGRBGfQlNGQ44DdgFuBL0g6DtiHqp//ABxse4GkMcCpwPuBFcCjtvcq7fRW50TKqIKkh4B9bM8pdY4A3mH7QElbAGcDGwJjgLNtX1jK7V2O+yxwXR3n9B7gZGDNEs8pti8v+24Cbgd2ADoA254maSPgpzXNbEr1pf5oSZcCWwBjgYeBg2wvLOVGSzqvtNcJfNT2A/12fBXLbF6+ljcGZtreq5++6ATGA0eW+K+UtATYtyvuMjLzOuDBEuui8jlsBqwDvAnYRdJdwO6275P0GuAb5bzHAd+3faqkzwIfAV6QNIUyetT9XGwvAm4pI1fdz3Mm8Gnbt0s6F9jV9taSRgMLgNfZ/lM9fdbR0VFPsZY3XM5zKEhfN87CeY82O4QhYczYsUxowHWXa7ux0t+N0859nQRncI20PRlA0n5UX4S3t/2SpMOAM4EpwOeAN1IlJcskbVhHnVoXAwcAx5T3U4Gjyxfdy4Apth+UNB6YXb4YPwt8G9jR9tySSPXnTuBdtldIejVwh6Tra5KSTYFdqBKFRyR91/ZDwKRyPm8HrgLOKeWPtP102XcycDwwrezbGjjQ9qcknQB8vofz7lHXNC5JmwI3AtP76gvbD9bUPUXSwVQJ432lHYCdgUm2n5B0AfAFoGvK2i5Un93TNeW7XAx82fYtJZG9QdLttk+XtDUw2/Y5rJwbgPdQJZbvAv5cEqrXAw/Um9wAzJ8/fyVDaB0dHR3D4jyHgvR1Y41rdgBDxLKlS1f7dZdru7HS343TSn29MolYEpzBNaPm9Z7ANsCd5QvwaGBR2bc7cKztZQBdX5T7qdP9OLeVJGVLYD2qUaM3l5/La750jy3bVgB32p5btp8PTO/nfCYCF0jaHFgObEA1AjOr7L/C9kvAIkkPUI1oPAQgaRPgSqoEo2ttyv5l9GIMsDbwm5pjzbV9V3k9C9ijn9heQdJ6wDXAcbZnSdqK3vviwZ5beYVrbT9RXn+XalSmy3U1n1ltDGsDk4GJNcccX475s4GcTy9+AfxrGQl7BriZKuF5A1XyExERETHsJcEZXLWL9UcAJ9u+oIdyI3qp31edv7D9O0n3Ax+g+kI9w3anpBHA093WlwAg6UP1nEA33wSuBvYu7f+GarpalyU1r1dQridJ6wLXAsfbnlm27QwcRjWC9JSkfYFD+murHpLWoBopmmH7qrK5175YCSOops116e2mDCNLuW1tvzgIx+3uV1Q3H9iNKqG5GTiIKsH54mo4XkRERETLyYM+V5+rgcMlTQCQNFbS28q+a4CjyhQmuqao9VOnu4uATwIf4+WRo7lUazw+3lVI0pYl4ZgJvL2MxlDq9md94PGS3LyPavpcn8rUsCuBS2xf2a2tRcAzksZSfTEfLOcBD9r+as22vvqiu+eoRsFq7SZpYnk9lWrqW59sL6YaSeuadoekTSRtXNdZ9N/+Uqppg9OoboowC9gJeCsvj6pFREREDGsZwVlNbF9SEpeby3SlkcC5wBzgNOArwN2SllEtuN+nnzrdda1tud3278oxl0vaAzi7LGofBTwByPaTkg4BrpH0LOA6TmMacK6kacA95ac/O1FNm9qorCkCuBQ4C9iPanrYPGA2sF0d7fVJ0uuAA4H7yq2fAW4sNzXosS96aObrwIWSXuDlmwzcQDU9741UydKxdYY0BThL0r3l/WKqZG5BneczCvgt1XS69STNA75j+8SauLalWsuzXNLDwGNd0x0jov2Nnrhx9QyY4W6Dif2XiYhhaURnZ2f/pSKinXS2ysLCVdFKCyhbXfq6sdLfjZO+bqz0d+O0Ul+Xmwz0tryjR5miFhERERERbSNT1Ia5Hp5b0+WHtk9qdDy9kTSJat1Rd+fY/k6Dw1ll3Z7d02WW7UObEU9EREREu0iCM8zZfpLy3JqhzPbdtECc9ep6dk9EREREDK5MUYuIiIiIiLaRBCciIiIiItpGEpyIiIiIiGgbSXAiIiIiIqJt5CYDERERLWTxYw8zat5vmx1Gc20wkRUTNmx2FBExRCXBiYiIaCHLn1rAstOOb3YYTTVm2nRIghMRvUiCM8RJOhQYZ/usQWyzExhv+/nBanMl45gMnNHTLZP72reKx7wb2MH2nyUdBVxWbpWNpBOBdWx/ps62rgOOsP1IP+V2BM4HXgSOsX1jL+UmAV8Huv6vfaztn9QTS0RERERUkuAMIkmjbS8fzDZtf2sw2xvubNc+S+co4OfAkwNpQ9JIoNP2B+us8nFghu3T+2hzbeCHwL62Z0kaDaw3kLgiIiIiIgnOKiujIccBuwG3Al+QdBywD1X//gE42PYCSWOAU4H3AyuAR23vVdrprc6JlFEFSQ8B+9ieU+ocAbzD9oGStgDOpvrr/xjgbNsXlnJ7l+M+C1xXxzm9BzgZWLPEc4rty8u+m4DbgR2ADsC2p0naCPhpTTObUn2pP1rSpcAWwFjgYeAg2wtLudGSzivtdQIftf1Avx1fxTKbl6/hjYGZtvfqpy86gfHAkSX+KyUtAfbtiruMzLwOeLDEuqh8DpsB6wBvAnaRdBewu+37JL0G+EY573HA922fKumzwEeAFyRNoYwe9XA6+wK/tD2LqlOXA8+UmKeW/X8E3kp1fRwBnA5sTvV57Ge7s55+A+jo6Ki3aEsbLuc5FKTI341ZAAAgAElEQVSvG2fhvEebHULTjRk7lgkNuuZybTdW+rtx2rmvk+AMjpG2JwNI2o/qi/D2tl+SdBhwJjAF+BzwRqqkZJmkDeuoU+ti4ADgmPJ+KnB0+Wv/ZcAU2w9KGg/MljSTKqn5NrCj7bklkerPncC7bK+Q9GrgDknX1yQlmwK7UCUKj0j6ru2HgEnlfN4OXAWcU8ofafvpsu9k4HhgWtm3NXCg7U9JOgH4fA/n3aOu6WuSNgVuBKb31Re2H6ype4qkg6kSxvtKOwA7A5NsPyHpAuALQNeUtV2oPruna8p3uRj4su1bSiJ7g6TbbZ8uaWtgtu1z6N1WwIslueoA7gA+U9Pn2wJvsT1P0rXlHHcF/kT1eb2HajSqLvPnz6+3aMvq6OgYFuc5FKSvG2tcswMYApYtXdqQay7XdmOlvxunlfp6ZRKxJDiDY0bN6z2BbYA7yxfg0cCism93qnUVywC6vij3U6f7cW4rScqWVFOYbgXeXH4ur/nSPbZsWwHcaXtu2X4+ML2f85kIXCBpc2A5sAHVCMyssv8K2y8BiyQ9QDWi8RCApE2AK6kSjK61KfuX0YsxwNrAb2qONdf2XeX1LGCPfmJ7BUnrAdcAx5WpXVvRe1882HMrr3Ct7SfK6+9Sjcp0ua7mM6uNYW1gMjCx5pjjyzF/VuepjKZKUnYAngC+SpXkHlT2/8r2vPL6LuBx24vK8edQJch1JzgRERER7SoJzuCoXaw/AjjZ9gU9lBvRS/2+6vyF7d9Juh/4ANUX6hm2OyWNAJ7utr4EAEkfqucEuvkmcDWwd2n/N1TT1bosqXm9gnIdSVoXuBY43vbMsm1n4DCqEaSnJO0LHNJfW/WQtAbVSNEM21eVzb32xUoYQTVtrktvN2UYWcpta/vFlTzWb4Ff2P5fAEmXAbXXQ/d+Wul+i4iIiGhnedDn4LsaOFzSBABJYyW9rey7BjiqTGGia4paP3W6uwj4JPAxXh45mku1xuPjXYUkbVkSjpnA28toDKVuf9anGiHolPQ+qtGBPpWpYVcCl9i+sltbi4BnJI3l5RGJwXAe8KDtr9Zs66svunuOv17Iv5ukieX1VKqpb32yvZhqJK1r2h2SNpG0cV1nUZoBtitT6qBapzVnAPUjIiIigvzVd9DZvqQkLjeX6UojgXOpvqyeBnwFuFvSMqoF9/v0U6e7rrUtt9v+XTnmckl7AGeXRe2jqKY5yfaTkg4BrpH0LNUX6f5MA86VNA24p/z0ZyeqKVYblTVFAJcCZwH7UU0PmwfMBraro70+SXodcCBwX7n1M8CN5aYGPfZFD818HbhQ0gu8fJOBG6im572RKlk6ts6QpgBnSbq3vF9MlcwtqKdyGZ37d2CmpJeAx3jlSFdEBACjJ25cPQdmONtgYv9lImLYGtHZWfeNlyKiPXS2ysLCVdFKCyhbXfq6sdLfjZO+bqz0d+O0Ul+Xmwz0tsyjR5miFhERERERbSNT1IapHp5b0+WHtk9qdDy9kTSJat1Rd+fY/k6Dw1ll3Z7d02WW7UObEU9EREREu0mCM0zZfpLy3JqhzPbdtECc9ep6dk9ERERErB6ZohYREREREW0jCU5ERERERLSNJDgREREREdE2kuBERERERETbyE0GIiIiWsjixx5m1LzfNjuM5thgIismbNjsKCJiiEuCExER0UKWP7WAZacd3+wwmmLMtOmQBCci+pEEZ4iTdCgwzvZZg9hmJzDe9vOD1eZKxjEZOKOnWyf3tW8Vj3k3sIPtP0s6Cris3DIbSScC69j+TJ1tXQccYfuRfsrtCJwPvAgcY/vGHspMAi6gmja6BvCr0vbSuk8uIiIiIpLgDCZJo20vH8w2bX9rMNsb7mzXPlPnKODnwJMDaUPSSKDT9gfrrPJxYIbt0/soMxfY3vay0v4VwKeArw8ktoiIiIjhLgnOKiqjIccBuwG3Al+QdBywD1X//gE42PYCSWOAU4H3AyuAR23vVdrprc6JlFEFSQ8B+9ieU+ocAbzD9oGStgDOBjYExgBn276wlNu7HPdZ4Lo6zuk9wMnAmiWeU2xfXvbdBNwO7AB0ALY9TdJGwE9rmtmU6kv90ZIuBbYAxgIPAwfZXljKjZZ0XmmvE/io7Qf67fgqltm8fA1vDMy0vVc/fdEJjAeOLPFfKWkJsG9X3GVk5nXAgyXWReVz2AxYB3gTsIuku4Ddbd8n6TXAN8p5jwO+b/tUSZ8FPgK8IGkKZfSo+7l027ZGaeOlEvPUEt8fgbdSXR9HAKcDm1N9HvvZ7qyn3wA6OjrqLdrShst5DgXp68ZZOO/RZofQNGPGjmVCg6+1XNuNlf5unHbu6yQ4g2Ok7ckAkvaj+iK8ve2XJB0GnAlMAT4HvJEqKVkmacM66tS6GDgAOKa8nwocLWk0cBkwxfaDksYDsyXNpEpqvg3saHtuSaT6cyfwLtsrJL0auEPS9TVJyabALlSJwiOSvmv7IWBSOZ+3A1cB55TyR9p+uuw7GTgemFb2bQ0caPtTkk4APt/Defeoa/qapE2BG4HpffWF7Qdr6p4i6WCqhPG+0g7AzsAk209IugD4AtA1ZW0Xqs/u6ZryXS4Gvmz7lpLI3iDpdtunS9oamG37HPogqYMqAX1T+ff8mt3bAm+xPU/SteUcdwX+RPV5vYdqNKou8+fPr7doy+ro6BgW5zkUpK8ba1yzA2iiZUuXNvRay7XdWOnvxmmlvl6ZRCwJzuCYUfN6T2Ab4M7yBXg0sKjs2x041vYygK4vyv3U6X6c20qSsiWwHtWo0ZvLz+U1X7rHlm0rgDttzy3bzwem93M+E4ELJG0OLAc2oBqBmVX2X2H7JWCRpAeovpA/BCBpE+BKqgSja23K/mX0YgywNvCbmmPNtX1XeT0L2KOf2F5B0nrANcBxtmdJ2ore++LBnlt5hWttP1Fef5dqVKbLdTWfWW0MawOTgYk1xxxfjvmzes/F9nxgUmnve8DewOVl969szyuv7wIet72oHH8OVYJcd4ITERER0a6S4AyO2sX6I4CTbV/QQ7kRvdTvq85f2P6dpPuBD1B9oZ5hu1PSCODpbutLAJD0oXpOoJtvAlcDe5f2f0M1Xa3LkprXKyjXkaR1gWuB423PLNt2Bg6jGkF6StK+wCH9tVUPSWtQjRTNsH1V2dxrX6yEEVTT5rr0dlOGkaXctrZfXNWD2v6TpB9QjWR1JTjd+2ml+y0iIiKineVBn4PvauBwSRMAJI2V9Lay7xrgqDKFia4pav3U6e4i4JPAx3h55Ggu1RqPj3cVkrRlSThmAm8vozGUuv1Zn2qEoFPS+6hGB/pUpoZdCVxi+8pubS0CnpE0FjiojuPX6zzgQdtfrdnWV1909xzVKFit3SRNLK+nUk1965PtxVQjaV3T7pC0iaSN6zqLqvwba66LMcCHgHvrrR8RERERlfzVd5DZvqQkLjeX6UojgXOBOcBpwFeAuyUto1pwv08/dbrrWttyu+3flWMul7QHcHZZ1D4KeAKQ7SclHQJcI+lZwHWcxjTgXEnTgHvKT392oloHslFZUwRwKXAWsB/V9LB5wGxguzra65Ok1wEHAveVWz8D3FhuatBjX/TQzNeBCyW9wMs3GbiBanreG6mSpWPrDGkKcJakrqRkMVUyt6DO+jsCx0t6qcR8M/DlOutGxDAyeuLG1fNghqMNJvZfJiKGvRGdnXXfeCki2kNnqywsXBWttICy1aWvGyv93Tjp68ZKfzdOK/V1uclAb8s8epQpahERERER0TYyRW2Y6uG5NV1+aPukRsfTG0mTqNYddXeO7e80OJxV1u3ZPV1m2T60GfFEREREtJskOMOU7Scpz60ZymzfTQvEWa+uZ/dERERExOqRKWoREREREdE2kuBERERERETbSIITERERERFtIwlORERERES0jdxkICIiooUsfuxhRs37bbPDGJgNJrJiwobNjiIihokkOBERES1k+VMLWHba8c0OY0DGTJsOSXAiokGS4AxTkk4E1rH9mSEQy03AGbavHci+VTjeocA422eV5+z8rW3X7O8Extt+vo629gR2tv3ZOspeCGwH3Gf7I72U+QxwMLA5sOdgnndERETEcJAEJ4Yd29+qeTsJ2B1wL8V7JWm07auBq+so+2rgn4H1bb/UR9GbgR8BLfcQ04iIiIihIAlOA0h6P/AVYBTwFPAp4LXA14A7gbcBy4Gptu8vdQ4ADqf6jBYBh9meK2kqsC+wEPg74I/AP9teUOodB+xT6v0BONj2AknrAd8FtgJ+V+J4op+4LwW2AMYCDwMH2V4oaTJwNnAbsAPQCXzU9gOSvgjsXZoYA7wZWB/YBjgZWLPEdorty2sOt6ukaUAHYNvT6uzbTwL/t7wdAbwVmGR7Th99cSKwDtVnchKwrqS7gVtsf7q09RlJ/wC8CvhX21eV43UCxwG7AbdKegTY3fY+Zf9ffW7AfOBGYC3gTkkzbJ/V0/nYvr200/08/xH4tO3dJG1E9dnJ9hXlPNe3/a/19BlAR0dHvUVb2nA5z6Egfd04C+c92uwQBmzM2LFMaNFrJNd2Y6W/G6ed+zoJzmpWvoxeAuxq+35JnwAuBY6n+jL+ads3ly/GFwPbSNoZELCL7aWSPgBcAOxUmt0WeKvt30v6NnAEcIKk/YDNgO1tvyTpMOBMYArwReA521tJ2pAqsepv1OJI20+X8zi5xNyVeGwNHGj7U5JOAD4PTLF9ElXSgKRLgOttL5J0J/Au2yvKaMYdkq63vbC0tymwCzAeeETSd20/1F//2v4OZbRD0ilUidi9/fRFV91nSkL2lwSlxku2d5S0BfDfkm61/WTZN9L25HLMqV0VevvcbO8k6YPAbNuT+junXtwKXCZpDeA9wMzy7xXl338fSGPz589fyTBaR0dHx7A4z6Egfd1Y45odwEpYtnRpS14jubYbK/3dOK3U1yuTiOU20avf3wNzukZmgAuppkWNBx62fXPZfgnwFknrAntQjercVkYWTgM2qWnzV7Z/X17PAt5UXu8JvJdqlOBu4F+A15d976YawaEkLT+sI/b9Jd0h6V6qUaPaL+dzbd/VQwwASPoy1SjJsWXTROBKSfcB1wMbUI0OdbnC9ku2FwEPdG+vPyVx/D/AfmUKWF99UY+uvppLlQxuX7NvRi91+vvcVprtF4BfU11P76VKIneSNIZqdOxXg3GciIiIiFaXEZzVbwTVFK6B1rnA9hd72b+k5vUKXv4cRwAn276glzbrVkYjDgN2tP2UpH2BQ+qIAUkHAu8D3l2z3uSbVGtV9rbdKek3VNPV+m2vjlj/Afgs1WL/P5fNffXFQHX/DHu7+UB/n9uquoFqtGZ7qs/mCarEc47tJX1VjIiIiBguMoKz+s0EJknasrw/ALgLWAxsVhIJqL6o3mv7OeAaqtGT1wJIGiXpnXUc62rgcEkTSr2xkt5W9t0AHFi2vwrYq5+21qdaQ/KMpLHAQXUcH0nvpZrGtmdNstHV3uMluXkf1fSxVSbpLcB55XhP1ezqqy9qPQes18P2rr7anGrk6rY6wlnZz61eXZ/h720vK+9PLP9GREREBBnBWe3K6MfHqdZPjKZa3L8f1U0G7gY+JulsqlGL/UudW8q6lqsljaJarH8FcEc/x7qkrK+5uSxSHwmcC8wBvgxcIOl+4HHgp/2E/pMS54PAPGA21S2O+3MC1dS0n9YslN+ZKuk5t9xI4J7yMxiOKcdzzfE+0k9f1LqB6oYCc4Cba24ysFTSr4ANgU/VrL/p1cp+brUkfRY4kmpK30WSlgBblcT3thJPV0JzA3Aq8It624+I1jd64sbVc2VayQYTmx1BRAwjIzo7Bzp7KgZDuRPZGba3aXYsMex0tsrCwlXRSgsoW136urHS342Tvm6s9HfjtFJfl5sMDGipRaaoRURERERE28gUtSaxfRPV3a+aqttza2r9Qz3TshpF0rd45Z3MAJa34ghYt2f31Jpq++5GxxMRERHRTjJFLWL4yRS1GFTp68ZKfzdO+rqx0t+N00p9nSlqERERERExrCXBiYiIiIiItpEEJyIiIiIi2kYSnIiIiIiIaBu5i1pEREQLWfzYw4ya99tmh9G3DSayYsKGzY4iIoapJDgREREtZPlTC1h22vHNDqNPY6ZNhyQ4EdEkSXBiWJLUCYy3/fwgtvkdYIbtWyX9EzDf9v+UfZOBM+p9bo+kk4Bf2/5BP+VeBVwDrAVcavv0VTmHiIiIiFaXBCdikNj+ZM3bfwJmA/8z0HYkjbL9xTqLvxdYaHvHgR4nIiIioh3lQZ/RtsoozQnAXsCrgM/avqpmX68jOJK+BWxf3q4DvMr2BEnrAl8F3gqsCdwIHGN7haSbgDOAF4HvAy8AT5fyvwO+BtwJvA1YDky1fX8Z3TkbuBXYFjgZ2AeYbfscSWOAU4BdgTHAvcBhpewMYF3gceAI27fW0TX5pY9oYQv/55c8/29HNTuMPq3zpbOZsN27mh1GRLSPAT3oMyM40e6es72tpJ0AA1fVU8n2oQCS1gCuB75Rdn0VuNn2JyWNBC4FDgK+XVP3eklXUxKU0s5kqqTo07ZvlnQAcDHQNWXtLcBhto8o5fepCec4YJHt7cq+6cDnbJ8g6YvA7rZry/erVZ5evCpa6SnNrS593Vjjmh1AHZYtXdoW10Su7cZKfzdOK/V1R0fHgOskwYl2d3n5dxbQIWlN20sGUP87wL22v1be7wlsJ+nY8n4tYF6dbT1s++by+hLg/DIiBPCQ7Zm91NsTWLcm6RkLzKn7DCIiIiKGkSQ40e6WAJQpZDCAa74s9F8POLBm8wjgn2w/OphBAn3d7GAEcLjtXwzyMSMiIiLaTh70GdEDSVOBfwT2tf1Sza6rgWmSRpVyG0p6Qw9NPEeVHNXaTNLO5fW+VCNDz9URztXAMZLGlWOOl/Tm+s8mIiIiYvjICE5Ez75U/v3vMvKz2PbOwFHAvwNzyo0KlpZtj3WrfwlwkaQP8/JNBu4GPibpbGAFsH+dsZwGnAjcLuklqpsE/BvwwMqdWkS0stETN66eMzOUbTCx2RFExDCWu6hFDD+drbKwcFW00gLKVpe+bqz0d+Okrxsr/d04rdTX5SYDA7qLWqaoRURERERE28gUtRjWJM3mr38PZnXdJjoiIiIiWksSnBjWbG/Tf6mIiIiIaBWZohYREREREW0jCU5ERERERLSNJDgREREREdE2kuBERERERETbyE0GIiIiWsjixx5m1LzfNjuMnm0wkRUTNmx2FBExzCXBiRgASZOAv7XtBh/3cWB32/c18rgRMfQsf2oBy047vtlh9GjMtOmQBCcimixT1CIGZhKg3nZKyh8NIiIiIpooX8Zi2JDUCXwe+CfgVcDBwHuB9wNrAB+2/UApewBwONXvyCLgMOBp4CRgXUl3A7fY/nRp9zhgN+BWSScC00u7AP8FHG97haSLgBeBNwCbALcA/2J7maRXA98C3gSMAE63fXEP5/Ea4BvApsA44Pu2Tx2sfoqIiIhoZUlwYrj5o+1tJX0Y+E/gI7Y/J+k44ARgP0k7U43S7GJ7qaQPABfY3knSF6mmiu3Trd2RticDSDqMaqTnHWXfT4BDgG+W938P7AgsAa4r+84Bvg7cZ3uvksTcKenOHqalXQx82fYtksYAN0i63fbP6u2Ejo6Oeou2tOFynkNB+rpxFs57tNkh9GrM2LFMaLNrIdd2Y6W/G6ed+zoJTgw3Pyj/3gl02v5xeX8HsHd5vQfwNuA2SVCNpkzop90ZNa/fC1xkexmApAuBvXg5wfmB7efLvhnAP1MlOO8FjgWw/b+Sfgy8G/hLgiNpbWAyMLHEBjAeeDNQd4Izf/78eou2rI6OjmFxnkNB+rqxxjU7gD4sW7q0ra6FXNuNlf5unFbq65VJxJLgxHCzpPy7Alhas30FL/8+jKAasfniANp9vub1CKCz2/7u73sr21+9kWXbtrZfHEB8EREREcNCbjIQ8deuAfaX9FoASaMkvbPsew5Yr5/6PwOmSlpD0hrAAcDPa/Z/WNLa5YYE+wE3lu0/p5quhqSNgQ/W7APA9mLgVmBa1zZJm5TyEREREcNeEpyIbmzfQrUe52pJc6imiH2o7L4BWFvSHElf76WJ84F7gLvKzz3At2v23wL8CPg18PtSHuDTwNsk3UOVJE2z/ese2p8CbCXpXkn3Uk27W3+lTjYiIiKizYzo7Oxt5kxEDLZyF7XZts9pYhidrTLvdlW00vziVpe+bqzxS1/ghTzosyFybTdW+rtxWqmvyxqcEQOpkzU4ERERLWT8GzZj8di1mh1GRMSQlQQnooFsT212DBERERHtLGtw/j979x5tV1nf+/8dEhOiBEkkgFtBKtCIYA0WqFyNItYb8ityPgoBuQkClSKCJB60P0qjwE84pC1FUblf/RAoAyg9UZEg2sAhCTcLRAi3E1LuNEKRxIT9+2M+CxbbfVn7wtp7rf15jbFH5lpzPpf5XWuMzO96nmfOiIiIiIhoG0lwIiIiIiKibSTBiYiIiIiItpEEJyIiIiIi2kYSnIiIiIiIaBtJcCIiIiIiom3kNtEREREt5MVHHmLsSHzQZ5s95DMiWlcSnIiIiBay5pknWX3arOHuxh8ZP/t0SIITESNAEpwRStKRwETbZw1hnZ3AJNsvDVWdA+zHDOAM29v3Z1/dMRcCi2yf/Sb1b/NS/7D8Ty3pMuCjwDsZAZ9XRERERCvJGpwhIGnIE0XbPxjK5CaaT9LYARY9D5g+lH2JiIiIGC0ygjNAZTTkROAzwK3AtyWdCOxLFdcngMNtPylpPPBd4JPAWuBh239V6umpzMnAerZPkPQgsK/tu0uZY4AP2T5E0jRgLrAhMB6Ya/uCctw+pd3ngRsbOKc9gDnAuqU/37F9Zdm3ALgD2AnoAGx7tqSNgJ/WVbMZcJHt48pIxDRgAvAQcKjtF8px4ySdW+rrBL5o+/4+A/+6bSX9AtgUWAgcZLtT0v7AsSUWACfYvqmcw6PApcAewLuA2cBGwP7AFOAQ27fWxeMMYHdgInC07Vu7jjDVvy7bc6m+DzsAcyTdCVwMbAIsA8YA83sbfbL9i1L3G96XdCrwvO3vqdp5JbCJ7acl3Uj12f/0jyrsRkdHRyOHtbzRcp4jQWLdPC8sf3i4u9Ct8RMmMLkNvwf5bjdX4t087RzrJDiDs47tGQCSDgC2BD5s+1VJRwFnAjOBbwLvpUpKVkvasIEy9S4GDgK+Xl4fDBxXRo4uB2bafkDSJGCRpIVUSc2PgJ1tLy2JVF+WALvaXitpY2CxpPl1SclmVBf8k4Blks6z/SBltEHSdsDVQO3i/Vjbz5Z9c4BZVEkFwDZUCcVXJJ0EfKub8+7NtsDHgVeBO8v2z4D5wBUl2ZkG3AS8u67cBNs7SdoBWACcaHvHkjCcCuxajnsHcE9JMD8CXCFpiwb69QHgKNvHlPO+GrjZ9hxJ7wHuLX0ciJuAE4DvUSVptwEfK238BfCrRitasWLFALvQOjo6OkbFeY4EiXVzTRzuDvRg9apVbfc9yHe7uRLv5mmlWA8kEUuCMzgX1W1/DtgeWFJ+eR8HrCz7Pgscb3s1QO2iv48yXdu5vSQp7wPeTjVKsHX5u7Lu1/4J5b21wBLbS8v7PwRO7+N8pgLnS9oKWEM1qjGN6kIa4CrbrwIrJd0PbAE8CCBpU2AeVbK1rBz/JUkzqUZT3gb8tq6tpbbvLNu3AXv10beurrX9Sml7SenLz8q/V0h6F/AHYBNJm9h+spT7Sfl3CfDWuteLqZLNmtVUoz3YvkXS70ss+vKg7YV1rz8K/E2p5zFJN/XvNN/g14DLiOAuVMnOvlQjf/fafnkQdUdERES0hSQ4g1O/+HsMMMf2+d0cN6aH8r2VeY3txyXdB3wKmEE1BaxT0hjgWdt/tF5D0t6NnEAX3weuA/Yp9f+WarpazSt122sp3x9J6wM3ALNqF/eSdgOOohpBeqZMHTuir7r6oafyV1Alk9dKWgd4ubtzKKNU9fX01YcxVFPp1vDGtWvrdjmuuxsCdPZSb8Ns/17S3cB+wH8CN1ON+C0HfjEUbURERES0utxkYOhcBxwtaTKApAmSPlj2XQ98rfzyTm2KWh9luroQ+DLVxW1t5Ggp8LKkA2sHSXpfSTgWAtuV0RhK2b5sADxakps9eeOIRrfKNLl5wCW253WpayXwnKQJwKENtD8UNgAeKduHUY1oDcR4qrU5tWRtXap4PwK8V9LkkmDu10c9C6imFNZGuT42wP7U3AT8HXCT7VVUyc3B5f2IiIiIUS8jOEPE9iUlcbmljAysA5wD3A2cRrW+4y5Jq6kW3O/bR5muamtb7rD9eGlzjaS9gLmSvgGMBZ4CVBaeHwFcL+l5wA2cxmzgHEmzgXvKX192oVoPslFZUwRwGXAWcADwANVF+CJgxwbqG6yvAddKegK4BXhugPU8B2wl6XaqqWz7lSmGT0g6k2pK2yNUN17Yppd6jgUulvQFqlj8mu6nIb5G0jW8Hqulkn5j+y/L65uAv+f1hOYmqs/g//Tz/CKiRY2bukn1zJmRZsrU4e5BRAQAYzo7h2T2TER0Q9JE4A8lGX0nVUK0R93aqOHQ2SoLCwejlRZQtrrEurkS7+ZJrJsr8W6eVop1uclAT8s9upURnIg311ZUIzhjgLcAfzfMyU1EREREW0uCM8p089yammtsn9Ls/vRE0nSqdUddnW37x03uzoDZvoduHtop6QfAh7u8vab2fJ2IiIiIGJgkOKOM7afp5oJ7pLF9Fy3Qz4GyfeRw9yEiIiKiHeUuahERERER0TaS4ERERERERNtIghMREREREW0jCU5ERERERLSN3GQgIiKihbz4yEOMXf7YcHcDpkxl7eQNh7sXERF/JAlOREREC1nzzJOsPm3WcHeD8bNPhyQ4ETECZYpaxAgjKT88RERERAxQLqSipUn6NGbl1EoAACAASURBVPDdurfeD/wP4H3AgeW9O4BjbL8k6WRgGvB24L3AMuB/2H65n/WvBP4BWAJ8EFgDHGz7vl76+n7gAuBtwF3AlsAc2zdIWgD8O/AXwCvAZ0rbJwHrAquB42zfJulG4Hzb80q9+wBH2v5E79GKiIiIaH9JcKKl2b4RuBFA0uHAIVTJwIHAzsCLwEXAt4HanI7tgR2okpT5wEzgR/2ofz7wYeDPgL+xfYukg4CLS909uQQ4y/alkrYHbu+yf1vgL22vkbRF6fNf2v6dpG2AfwM2A/6xnMu8Uu6vy3sN6+jo6M/hLWu0nOdIkFg3zwvLHx7uLgAwfsIEJo+Czz3f7eZKvJunnWOdBCfagqS/BI4HdgNmA1fa/l3Z90Oq0Zaa+bb/q+y7HdiiP/XbfkUSwEO2bymHXAL8UNL6tXa7lF+fKoG5HMD2Ikn3dDnscttryvZfln79srQFME7SxlQJ1lmStgY6y3E39HUO9VasWNGfw1tSR0fHqDjPkSCxbq6Jw92BYvWqVW3/uee73VyJd/O0UqwHkoglwYmWJ+mDwA+oRjuekTSG6sK/Xv3rV+q219LH9ULX+gfYzVqfuvar3ktdjv/ftr/UQ5/+GTi6vDzX9toB9isiIiKireQmA9HSJL0LuBo40PZvy9s/A74oaVJJdr4M/HwI66/ZUtJuZXt/4N7uRm8AbK8E7gP2K/V+CPhAL03/FPhkmZpW68sOdfsvAv4f4AvAjxs/o4iIiIj2lhGcaHVfBqYCZ9dN5ToOuBRYWF4vAuYMcf2dVDcK2E/SXKqRoG5HW+p8CThf0vHAYuBuqnVAf8T2g5IOAM6TNBEYD/ya6oYJ2H5R0v8GJg5iVCkiIiKi7Yzp7OxtxkxEdEfSDOAM273dVKBrmbcBL9vuLHdUWwBMs/3CANofB9wDHGT7jn4W72yVebeD0Urzi1tdYt1ck1a9zMt50GdT5LvdXIl387RSrMsanDH9KZMRnIjm2QX4Xpk2B3D4AJObzwH/BPzLAJKbiGhxk/5kS16c8Nbh7kZExIiVBCcCkPS3wD7d7PqE7ae7vml7Ad3cErqb5+bU/M9yy+mfDrKr2L4OuG6w9URERES0oyQ4EYDtU4BThqCe156bExERERHNl7uoRURERERE20iCExERERERbSMJTkREREREtI0kOBERERER0TaS4ERERERERNvIXdQiIiJayIuPPMTY4X7Q5yh4yGdEtK4kOBERES1kzTNPsvq0WcPah/GzT4ckOBExQiXBGWEkHQlMtH3WENbZCUyy/dJQ1TnAfswAzrDd3QMye9xXd8yFwCLbZ79J/du81D8s/2tLugz4KPBORsDnFREREdGKsgZnECQNeYJo+wdDmdxE80kaO8Ci5wHTh7IvEREREaNNRnD6qYyGnAh8BrgV+LakE4F9qeL5BHC47ScljQe+C3wSWAs8bPuvSj09lTkZWM/2CZIeBPa1fXcpcwzwIduHSJoGzAU2BMYDc21fUI7bp7T7PHBjA+e0BzAHWLf05zu2ryz7FgB3ADsBHYBtz5a0EfDTumo2Ay6yfVwZiZgGTAAeAg61/UI5bpykc0t9ncAXbd/fZ+Bft62kXwCbAguBg2x3StofOLbEAuAE2zeVc3gUuBTYA3gXMBvYCNgfmAIcYvvWunicAewOTASOtn1r1xGm+tdley7V92EHYI6kO4GLgU2AZcAYYH5vo0+2f1HqfsP7tZEl4EdU36WJwEzgSOAvgN8De9t+ssEY0tHR0eihLW20nOdIkFg3zwvLHx7uLjB+wgQmj5LPPN/t5kq8m6edY50EZ2DWsT0DQNIBwJbAh22/Kuko4EyqC9BvAu+lSkpWS9qwgTL1LgYOAr5eXh8MHFdGji4HZtp+QNIkYJGkhVRJzY+AnW0vLYlUX5YAu9peK2ljYLGk+XVJyWZUF/yTgGWSzrP9IGW0QdJ2wNVA7eL9WNvPln1zgFlUSQXANlQJxVcknQR8q5vz7s22wMeBV4E7y/bPgPnAFSXZmQbcBLy7rtwE2ztJ2gFYAJxoe0dV2cSpwK7luHcA95QE8yPAFZK2aKBfHwCOsn1MOe+rgZttz5H0HuDe0seBegfwK9vflPSNcn4zbB8u6Rzgq1SxbMiKFSsG0ZXW0NHRMSrOcyRIrJtr4nB3AFi9atWo+Mzz3W6uxLt5WinWA0nEkuAMzEV1258DtgeWlF/exwEry77PAsfbXg1Qu+jvo0zXdm4vScr7gLdTjRJsXf6urPu1f0J5by2wxPbS8v4PgdP7OJ+pwPmStgLWUI1qTANuK/uvsv0qsFLS/cAWwIMAkjYF5lElW8vK8V+SNJNqNOVtwG/r2lpq+86yfRuwVx996+pa26+UtpeUvvys/HuFpHcBfwA2kbRJ3ajGT8q/S4C31r1eTJVs1qymGu3B9i2Sfl9i0ZcHbS+se/1R4G9KPY9Juql/p/lHXrL9r2V7CbDc9l3l9WJgz0HWHxEREdEWkuAMTP3i7zHAHNvnd3PcmB7K91bmNbYfl3Qf8ClgBtUUsE5JY4Bnbf/Reg1JezdyAl18H7gO2KfU/1uq6Wo1r9Rtr6V8byStD9wAzKpd3EvaDTiKagTpmTJ17Ii+6uqHnspfQZVMXitpHeDl7s6hjFLV19NXH8ZQTaVbwxvXrK3b5bjubgjQ2Uu9/bWqbnstg49jRERERFvKTQYG7zrgaEmTASRNkPTBsu964GtlLQ61KWp9lOnqQuDLwH68PnK0FHhZ0oG1gyS9ryQcC4HtymgMpWxfNgAeLcnNnrxxRKNbZZrcPOAS2/O61LUSeE7SBODQBtofChsAj5Ttw6hGtAZiPNXanFqyti5VvB8B3itpckkw9+ujngVUUwpro1wfG2B/IiIiIqIf8qvvINm+pCQut5SRgXWAc4C7gdOo1nfcJWk11YL7ffso01Vtbcsdth8vba6RtBcwt6zHGAs8Bcj205KOAK6X9DzgBk5jNnCOpNnAPeWvL7tQLdrfqKwpArgMOAs4AHgAWE61OH7HBuobrK8B10p6ArgFeG6A9TwHbCXpdqqpbPuVKYZPSDqTajrYI1Q3Xtiml3qOBS6W9AWqWPya7qchvkbSNbweq6WSfmP7Lwd4HhHRpsZN3aR6Ds1wmjJ1eNuPiOjFmM7OoZxFExEAkiYCfyjJ6DupEqI96tZGDafOVllYOBittICy1SXWzZV4N09i3VyJd/O0UqzLTQZ6WvbRrYzgRLw5tqIawRkDvAX4uxGS3ERERES0tSQ4o0Q3z62pucb2Kc3uT08kTadad9TV2bZ/3OTuDJjte+jmoZ2SfgB8uMvba2rP14mIiIiIwUmCM0rYfppuLrhHmnLr4xHfz4GyfeRw9yEiIiKineUuahERERER0TaS4ERERERERNtIghMREREREW0jCU5ERERERLSN3GQgIiKihbz4yEOMXf7Y8HZiylTWTt5wePsQEdGDJDgREREtZM0zT7L6tFnD2ofxs0+HJDgRMUIlwRlhJB0JTLR91hDW2QlMsv3SUNU5wH7MAM7o7pkvve2rO+ZCYJHts9+k/m1e6h+W/7UlTQH+Gfhz4A/AT0bSM4oiIiIiWkHW4AyCpCFPEG3/YCiTm2g+SWMHWPRC4Hbbf2p7G+DcoetVRERExOiQEZx+KqMhJwKfAW4Fvi3pRGBfqng+ARxu+0lJ44HvAp8E1gIP2/6rUk9PZU4G1rN9gqQHgX1t313KHAN8yPYhkqYBc4ENgfHAXNsXlOP2Ke0+D9zYwDntAcwB1i39+Y7tK8u+BcAdwE5AB2DbsyVtBPy0rprNgItsHyfpMmAaMAF4CDjU9gvluHGSzi31dQJftH1/n4F/3baSfgFsCiwEDrLdKWl/4NgSC4ATbN9UzuFR4FJgD+BdwGxgI2B/YApwiO1b6+JxBrA7MBE42vatXUeY6l+X7blU34cdgDmS7gQuBjYBlgFjgPk9jT5J2gr4M2Dv2nu2nyr7NgcWAT+i+i5NBGYCRwJ/Afwe2Nv2k40GsaOjo9FDW9poOc+RILFunheWPzzcXWD8hAlMHiWfeb7bzZV4N087xzoJzsCsY3sGgKQDgC2BD9t+VdJRwJlUF6DfBN5LlZSslrRhA2XqXQwcBHy9vD4YOK6MHF0OzLT9gKRJwCJJC6mSmh8BO9teWhKpviwBdrW9VtLGwGJJ8+uSks2oLvgnAcsknWf7QWB6OZ/tgKuB2sX7sbafLfvmALOokgqAbagSiq9IOgn4Vjfn3ZttgY8DrwJ3lu2fAfOBK0qyMw24CXh3XbkJtneStAOwADjR9o6SBJwK7FqOewdwT0kwPwJcIWmLBvr1AeAo28eU874auNn2HEnvAe4tfezJ+4HlwI9LPJ8EvmH7P+r69Svb35T0jXJ+M2wfLukc4KtUsWzIihUrGj20ZXV0dIyK8xwJEuvmmjjcHQBWr1o1Kj7zfLebK/FunlaK9UASsUxRG5iL6rY/R3WRvUTSXcBfA5uXfZ+lGllZDVC76O+jTNd29pM0TtK2wNupRgn+FNgauLKUv5VqtGRr4MPAEttLSx0/bOB8pgLzJP2G6iJ8CtUITM1Vtl+1vRK4H3jtgl/SpsA8qmRrWXn7S5IWS7qXapRkel1dS23fWbZvq6+rQdfafqXEdEld+S2A+ZL+A/gJsImkTerK/aT8uwR4a93rxVTJZs1qqtEebN9CNTpSH4uePGh7Yd3rjwIXlHoeo0pIejOO6rO70PaHgB8D19Xtf8n2v9adw3Lbd/VwDhERERGjVkZwBqZ+sf4YYI7t87s5bkwP5Xsr8xrbj0u6D/gUMINqClinpDHAs7andy0jae+u7zXg+1QX0/uU+n9LNV2t5pW67bWU742k9YEbgFm1i3tJuwFHUY0gPVOmjh3RV1390FP5K4DjbV8raR3g5e7OoYxS1dfTVx/GUE2lW8MbfxBYt8tx3d3AobOXert6DHi8NlXO9jWSLq2N+gGr6o5dy+DjGBEREdGWMoIzeNcBR0uaDCBpgqQPln3XA18ra3Gou1jtrUxXFwJfBvbj9ZGjpcDLkg6sHSTpfSXhWAhsV9Z0UMr2ZQPg0ZLc7EkDowFlmtw84BLb87rUtRJ4TtIE4NAG2h8KGwCPlO3DqEa0BmI81ahTLVlblyrejwDvlTS5JJj79VHPAqophbVRro/1cfxi4L8lbVPK7E413fC5AZ1FRERExCiVX30HyfYlJXG5pYwMrAOcA9wNnEa1vuMuSaupFtzv20eZrmprW+6w/Xhpc42kvYC5ZT3GWOApQLaflnQEcL2k5wE3cBqzgXMkzQbuKX992YVq0f5GZU0RwGXAWcABwANUa0oWATs2UN9gfQ24VtITwC0MPDF4DthK0u1UU9n2K9PhnpB0JlUi8gjVjRe26aWeY4GLJX2BKha/pkr8ulWSy0OAC0pi+DKvj6gN8FQioh2Nm7pJ9Rya4TRl6vC2HxHRizGdnf2ZRRMRjZA0EfhDSUbfSZUQ7VG3Nmo4dbbKwsLBaKUFlK0usW6uxLt5EuvmSrybp5ViXW4y0NOyj25lBCfizbEV1QjOGOAtwN+NkOQmIiIioq0lwRklunluTc01tk9pdn96Imk61bqjrs62/eMmd2fAbN/DG+8eB4CkH1DdLa3emtrzdSIiIiJicJLgjBK2n6abC+6Rptz6eMT3c6BsHzncfYiIiIhoZ7mLWkREREREtI0kOBERERER0TaS4ERERERERNtIghMREREREW0jNxmIiIhoIS8+8hBjlz82fB2YMpW1kzccvvYjIvqQBCciIqKFrHnmSVafNmvY2h8/+3RIghMRI1gSnFFG0snAerZPGAF9WQCcYfuG/uwbRHtHAhNtn1Wet/Ontl23vxOYZPulBur6HLCb7W80cOwFwI7Ab2x/oYdjTgAOp3pA6OeG8rwjIiIiRpMkODFq2P5B3cvpwGcB93B4jySNs30dcF0Dx24MfB7YwParvRx6C3At0DIPM42IiIgYiZLgvIkkfRI4FRgLPAN8BXg38A/AEuCDwBrgYNv3lTIHAUdTfTYrgaNsL5V0MLA/8AKwLfBfwOdtP1nKnQjsW8o9ARxu+0lJbwfOA94PPF768VQf/b4MmAZMAB4CDrX9gqQZwFzgdmAnoBP4ou37Jf0tsE+pYjywNbABsD0wB1i39O07tq+sa+4jkmYDHYBtz24wtl8GvlpejgH+DJhu++5eYnEysB7VZ3IKsL6ku4Bf2v6bUtcJkj4BvAP4n7avLu11AicCnwFulbQM+Kztfcv+P/rcgBXAzcBbgSWSLrJ9VnfnY/uOUk935/oocCmwB/AuYDawEdX3YQpwiO1bG4lbTUdHR38Ob1mj5TxHgsS6eV5Y/vCwtj9+wgQmj6LPO9/t5kq8m6edY50E500iaSPgEuAjtu+TdBhwGTCL6mL8b2zfUi6MLwa2l7QbIGB326skfQo4H9ilVLsD8Ge2/6+kHwHHACdJOgDYEviw7VclHQWcCcwE/hb4ne33S9qQKrHqa9TiWNvPlvOYU/pcSzy2obqg/oqkk4BvATNtn0KVNCDpEmC+7ZWSlgC72l5bRjMWS5pv+4VS32bA7sAkYJmk82w/2Fd8bf+YMtoh6TtUidi9fcSiVva5kpC9lqDUedX2zpKmAf8u6VbbT5d969ieUdo8uFagp8/N9i6SPg0ssj29r3PqwwTbO0naAVgAnGh7R1UZ0anArv2pbMWKFYPszsjX0dExKs5zJEism2viMLe/etWqUfN557vdXIl387RSrAeSiCXBefP8BXB3bWQGuAA4h+pC/iHbt5T3LwF+KGl9YC+qUZ3byy/5Y4DJdXX+2vb/Ldu3AXuW7c9RjZQsKeVqowgAH6VKhLD9rKRrGuj7lyTNpBqJeRvw27p9S23fWdeHveoLSvp7qlGSg8pbU4HzJW1FNVo1hWp06Lay/6oydWulpPuBLYA+E5y69g4DPgZ8rCQ0vcWiEecBlFGzJcCHeX0q2kU9lOnrcxsKPyn/LqEaEaq9XkyV0EVEREQESXDeTGOopnD1t8z5tv+2h/2v1G2v5fXPbwwwx/b5PdTZsDIacRSws+1nJO0PHNFAH5B0CFXS9dG69Sbfp0oQ9rHdKem3VNPV+qyvgb5+AvgG1WL/35e3e4tFf3X9DHu6+UBfn9tQeAWgjIS99pp+xiwiIiKi3eVBn2+ehcB0Se8rrw8C7gReBLYsiQRU6yjutf074Hqq0ZN3A0gaK+nPG2jrOuBoSZNLuQmSPlj23QQcUt5/B/BXfdS1AdWIx3OSJgCHNtA+kj5ONY3tc3XJRq2+R0tysydDNNog6QPAuaW9Z+p29RaLer8D3t7N+7VYbUV1I4LbG+jOQD+3iIiIiBhi+eX3TVJGPw4ELpc0jmpx/wFUNxm4C9hP0lyqX+C/VMr8sqxruU7SWKopYldRTUPqra1LyvqaW8qv++tQTYe7G/h7qili9wGPAj/to+v/Vvr5ALAcWER1i+O+nEQ1Ne2ndQvld6NKes4pNxK4p/wNha+X9lzX3hf6iEW9m6huKHA3cEvdTQZWSfo1sCHwlbr1Nz0a6OdWT9I3gGOppvRdKOkV4P0l8Y2IeM24qZtUz6IZLlOmDl/bERENGNPZ2d9ZVDEY5U5kZ9jefrj7EqNWZ6ssLByMVlpA2eoS6+ZKvJsnsW6uxLt5WinW5SYD/VpykSlqERERERHRNjJFrclsL6C6y9ew6vLcmnqfaGRaVrNI+gHVnczqrWnFEbAuz+6pd7Dtu5rdn4iIiIh2lClqEaNPpqjFkEqsmyvxbp7EurkS7+ZppVhnilpERERERIxqSXAiIiIiIqJtJMGJiIiIiIi2kQQnIiIiIiLaRu6iFhER0UJefOQhxi5/bPg6MGUqaydvOHztR0T0IQlOREREC1nzzJOsPm3WsLU/fvbpkAQnIkawJDgjjKQjgYm2zxrCOjuBSbZfGqo6B9iPGcAZ3T3Dprd9dcdcCCyyffab1L/NS/1N/59b0jrAr4G3lrf+EzjS9qPN7ktEREREK8sanEGQNOQJou0fDGVyE80naWx/y9h+Ffik7Q/a/iDwb8D/GvLORURERLS5jOD0UxkNORH4DHAr8G1JJwL7UsXzCeBw209KGg98F/gksBZ42PZflXp6KnMysJ7tEyQ9COxr++5S5hjgQ7YPkTQNmAtsCIwH5tq+oBy3T2n3eeDGBs5pD2AOsG7pz3dsX1n2LQDuAHYCOgDbni1pI+CnddVsBlxk+zhJlwHTgAnAQ8Chtl8ox42TdG6prxP4ou37+wz867aV9AtgU2AhcJDtTkn7A8eWWACcYPumcg6PApcCewDvAmYDGwH7A1OAQ2zfWhePM4DdgYnA0bZv7TrCVP+6bM+l+j7sAMyRdCdwMbAJsIzqAVXzext9sr2y7uX6wKulrc2BRcCPqL5LE4GZwJHAXwC/B/a2/WSjQSwPzWp7o+U8R4LEunleWP7wsLY/fsIEJo+izzvf7eZKvJunnWOdBGdg1rE9A0DSAcCWwIdtvyrpKOBMqgvQbwLvpUpKVkvasIEy9S4GDgK+Xl4fDBxXRo4uB2bafkDSJGCRpIVUSc2PgJ1tLy2JVF+WALvaXitpY2CxpPl1SclmVBf8k4Blks6z/SAwvZzPdsDVQO3i/Vjbz5Z9c4BZVEkFwDZUCcVXJJ0EfKub8+7NtsDHqS7+7yzbPwPmA1eUZGcacBPw7rpyE2zvJGkHYAFwou0dJQk4Fdi1HPcO4J6SYH4EuELSFg306wPAUbaPKed9NXCz7TmS3gPcW/rYK0k3Ah8CngU+UbfrHcCvbH9T0jfK+c2wfbikc4CvUsWyIa3y9OLBaKWnNLe6xLq5Jg5z+6tXrRo1n3e+282VeDdPK8V6IIlYpqgNzEV125+jusheIuku4K+Bzcu+z1KNrKwGqF3091Gmazv7SRonaVvg7VSjBH8KbA1cWcrfSjVasjXwYWCJ7aWljh82cD5TgXmSfkN1ET6FagSm5irbr5YRhvuB1y74JW0KzKNKtpaVt78kabGke6lGSabX1bXU9p1l+7b6uhp0re1XSkyX1JXfApgv6T+AnwCbSNqkrtxPyr9LqNa51F4vpko2a1ZTjfZg+xaq0ZH6WPTkQdsL615/FLig1PMYVULSJ9ufphopu4I3Jiwv2f7XunNYbvuuHs4hIiIiYtTKCM7A1C/WHwPMsX1+N8eN6aF8b2VeY/txSfcBnwJmUE0B65Q0BnjW9vSuZSTt3cgJdPF94Dpgn1L/b6mmq9W8Ure9lvK9kbQ+cAMwq3ZxL2k34CiqEaRnytSxI/qqqx96Kn8FcLzta8uC/Ze7O4cySlVfT199GEM1lW4Nb/xBYN0ux3V3A4fOXurtURnVOw94EDi6vL2q7pC1DD6OEREREW0pIziDdx1wtKTJAJImSPpg2Xc98LWyFofaFLU+ynR1IfBlYD9eHzlaCrws6cDaQZLeVxKOhcB2krYqu77cwDlsADxakps9aWA0oEyTmwdcYntel7pWAs9JmgAc2kD7Q2ED4JGyfRjViNZAjKcadaola+tSxfsR4L2SJpcEc78+6llANaWwNsr1sd4OljRV0jvq3vofVNPaIiIiIqIf8qvvINm+pCQut5SRgXWAc4C7gdOo1nfcJWk11YL7ffso01Vtbcsdth8vba6RtBcwt6zHGAs8Bcj205KOAK6X9DzgBk5jNnCOpNnAPeWvL7tQLdrfqKwpArgMOAs4AHgAWE61OH7HBuobrK8B10p6ArgFeG6A9TwHbCXpdqqpbPuV6XBPSDqTajrYI1Q3Xtiml3qOBS6W9AWqWPyaKvHrySbAhZLeQjVq9AhVHCMi3mDc1E2qZ9EMlylTh6/tiIgGjOnsHNAsmojohaSJwB9KMvpOqoRoj7q1UcOps1UWFg5GKy2gbHWJdXMl3s2TWDdX4t08rRTrcpOBnpZ9dCsjOBFvjq2oRnDGAG8B/m6EJDcRERERbS0JzijRzXNraq6xfUqz+9MTSdOp1h11dbbtHze5OwNm+x7eePc4ACT9gOpOd/XW1J6vExERERGDkwRnlLD9NN1ccI805dbHI76fA2X7yOHuQ0REREQ7y13UIiIiIiKibSTBiYiIiIiItpEEJyIiIiIi2kYSnIiIiIiIaBu5yUBEREQLefGRhxi7/LHhaXzKVNZO3nB42o6IaFASnIiIiBay5pknWX3arGFpe/zs0yEJTkSMcJmiFn9E0smSzngT679L0sSy/aikbYegzk5J6w2+d4PuxwxJi/q7r+6YT0haJGnVm/kZRERERLSrjOBE00gaZ3uN7bZ9zs0QeBg4HPg8sO4w9yUiIiKi5STBaSGSNgcW2d6w/jWwffn3XODTwFuBw2z/StJGwOXAxqWan9s+TtLJwHq2Tyh1veE1sJmkG4H3AA8Ah9peKWlvYA6wlur781XbCyS9C/hHYKtS/grbp0q6EHixvD8V+HNJncAk2y+VY2dK2gXoAObaPrv0aRowF9gQGF/2XVD27QN8F3geuLGB2O1R+r1u6fd3bF9Z9i0A7gB2Kn2w7dkldj+tq2Yz4KISv8uAacAE4KESnxfKceMknVvq6wS+aPv+vvpI1fBDpU97d+n/esCjwMa210q6D7jZ9l9L2rHEZudG2gDo6Oho9NCWNlrOcyRIrJvnheUPD1vb4ydMYPIo+6zz3W6uxLt52jnWSXDaxzuAhbZPkjQTOB3YBZgJPGb74wCSJjdY327AdNtPSTof+DZwAnAKcLTtWyWNBd5Wjr8UuNH250s79ZO0dwI+Yvu/e2hrY9u7S9oYuFPSL4H7qBKzmbYfkDQJWCRpIVVS8yNgZ9tLJZ3YwPksAXYtycHGwGJJ8+uSks2A3YFJwDJJ59l+EJhezmc74Grg7HL8sbafLfvmALOA2WXfNsAhtr8i6STgW1Sfw4DZfknSA8AOkh4DXgZ2Lbv3AG7qT30r4RbD+QAAIABJREFUVqwYTHdaQkdHx6g4z5EgsW6uicPY9upVq0bVZ53vdnMl3s3TSrEeSCKWBKd9vGT7hrJ9G3Bm3fbXJX0PuAWY32B9N9h+qmyfB/xT2f4FcKakq4B/s/2bMrqwM7BnrXDt4r+Y10tyU6ufkkz9KzADWANsDVwpqXbchPLeWmCJ7aXl/R9SJXS9mQqcL2mrUvcUqhGY28r+q2y/CqyUdD+wBfAggKRNgXlUydaycvyXSiI5nirJ+21dW0tt31m2bwP26qNvjfoF8HHgMeB64KOS3l3e+/shaiMiIiKipeUmA61lDW/8zOrXaKyq265NH8P2QqpRiMXAgcDNDdTV1RiqqVbYPg44DFgNXCXp8Ab6/VLfh/xRW2OAZ21Pr/vb3Pa/lH399X1gAfCBsgZoOW8851fqtl+Ln6T1gRuAWSWWSNoNOAr4pO0PUI3Q9FnXELiJarSmNmJzE/AZYDtg4RC1EREREdHSkuC0lieBt0jasrzev68Ckv4E+F1Zb/J1qjUw6wDLattl+tdnuxT9jKSpZftgSmIkaZrte23/A9W0tB3KWpp/B46ra7c/9xE9uJSZCnyKKhFZCrws6cC6Ot9XEo6FwHZlNAbgyw20sQHwqO1OSXsCW/ZVQNI4qpGbS2zP61LXSuA5SROAQxtofygsBD5INVp2O/Bz4JvAYtureisYERERMVpkiloLsb1G0rHAz8o6jJv7KkM13et4SbURmyNtvyrpakDAf1Atkl/cpdxNVFO63kuVbBxf3j+tbprXf1GN5gAcAPyzpIOoRi0up+9pYzWPS7oVeCdwqu17ASTtBcyV9A1gLPAUINtPSzoCuF7S84AbaGM2cI6k2cA95a8vu1CNlmwk6YDy3mXAWVTn+wDVSNAiYMfGTrV3knYFrgTWB8ZI+iLVDSPm214t6Q5gje0/lO3JVFPXImKUGDd1k+p5NMNhytS+j4mIGGZjOjs7h7sPEdFcna2ysHAwWmkBZatLrJsr8W6exLq5Eu/maaVYl5sM9Gt5QqaoRURERERE28gUtWgb3Ty3puYa26c0uz89kTQduLCbXWfb/nGTuxMRERHRVpLgRNuw/TTluTUjme27aIF+RkRERLSiTFGLiIiIiIi2kQQnIiIiIiLaRhKciIiIiIhoG0lwIiIiIiKibeQmAxERES3kxUceYuzyx4an8SlTWTt5w+FpOyKiQUlwIiIiWsiaZ55k9WmzhqXt8bNPhyQ4ETHCZYpavEbSyZLOeBPrv0vSxLL9qKRth6DOTknrDb53g+7HDEmL+ruv7phPSFokadWb+RlEREREtLuM4MSbTtI422ts59kvPXsYOBz4PLDuMPclIiIiomUlwWkBkjYHFtnesP41sH3591zg08BbgcNs/0rSRsDlwMalmp/bPk7SycB6tk8odb3hNbCZpBuB9wAPAIfaXilpb2AOsJbqe/NV2wskvQv4R2CrUv4K26dKuhB4sbw/FfhzSZ3AJNsvlWNnStoF6ADm2j679GkaMBfYEBhf9l1Q9u0DfBd4HrixgdjtUfq9bun3d2xfWfYtAO4Adip9sO3ZJXY/ratmM+CiEr/LgGnABOChEp8XynHjJJ1b6usEvmj7/r76SNXwQ6VPe3dzDhcCq6hiuQVwDXA98HfApsBZtv+hkXZqOjo6+nN4yxot5zkSJNbN88Lyh4et7fETJjB5lH3W+W43V+LdPO0c6yQ4re8dwELbJ0maCZwO7ALMBB6z/XEASZMbrG83YLrtpySdD3wbOAE4BTja9q2SxgJvK8dfCtxo+/OlnfrJ2TsBH7H93z20tbHt3SVtDNwp6ZfAfVSJ2UzbD0iaBCyStJAqqfkRsLPtpZJObOB8lgC72l5b2lksaX5dUrIZsDswCVgm6TzbDwLTy/lsB1wNnF2OP9b2s2XfHGAWMLvs2wY4xPZXJJ0EfIvqcxgK2wB7AGOBR4G3Ax8B3gksLf1+qefib7RixYoh6tbI1dHRMSrOcyRIrJtr4jC2vXrVqlH1Wee73VyJd/O0UqwHkoglwWl9L9m+oWzfBpxZt/11Sd8DbgHmN1jfDbafKtvnAf9Utn8BnCnpKuDfbP+mrH3ZGdizVrh28V/M6yW5qdVPSab+FZgBrAG2Bq6UVDtuQnlvLbDE9tLy/g+pErreTAXOl7RVqXsK1QjMbWX/VbZfBVZKup9qhORBAEmbAvOokq1l5fgvlURyPFWS99u6tpbavrNs3wbs1Uff+uNa26tKv5ZSJZWvAk9IegF4N9WIW0RERMSolpsMtIY1vPGzql+jsapuuzZ9DNsLqUYhFgMHAjc3UFdXY6imWmH7OOAwYDVwlaTDG+h3wyMKdW2NAZ61Pb3ub3Pb/1L29df3gQXAB8oaoOW88Zxfqdt+LX6S1gduAGaVWCJpN+Ao4JO2P0A1QtNnXUOka91vZlsRERERLSsJTmt4EniLpC3L6/37KiDpT4DflfUmX6daA7MOsKy2XaZ/fbZL0c9Imlq2D6YkRpKm2b63rPW4FNihTIn6d+C4unb7c//Qg0uZqcCnqBKRpcDLkg6sq/N9JeFYCGxXRmMAvtxAGxsAj9rulLQnsGVfBSSNoxq5ucT2vC51rQSekzQBOLSB9iMiIiKiifKrbwuwvUbSscDPJD3G66MxvZkBHC+pNmJzpO1XJV0NCPgPqkXyi7uUu4lqStd7qZKN48v7p9VN8/ovqtEcgAOAf5Z0ENVIwuX0PW2s5nFJt1KtIznV9r0AkvYC5kr6BtWak6cA2X5a0hHA9ZKeB9xAG7OBcyTNBu4pf33ZhWq9y0aSDijvXQacRXW+D1CNBC0CdmzsVHsnaVfgSmB9YIykL1LdMKLRqYURMUqMm7pJ9Tya4TBlat/HREQMszGdnZ3D3YeIaK7OVllYOBittICy1SXWzZV4N09i3VyJd/O0UqzLTQb6tUwhU9QiIiIiIqJtZIpatLxunltTc43tU5rdn55Img5c2M2us23/uMndiYiIiGhLSXCi5dl+mvLcmpHM9l20QD8jIiIiWlmmqEVERERERNtIghMREREREW0jCU5ERERERLSNJDgREREREdE2cpOBiIiIFvLiIw8xdvljzW94ylTWTt6w+e1GRPRTEpyIiIgWsuaZJ1l92qymtzt+9umQBCciWkASnEGSdDKwnu0T3qT67wJ2sv17SY8Cn7X9m0HW2QlMsv3SUPRxEP2YAZxhe/v+7Btkm/Xx/BpwebnNdL8/S0k3AsfYXtbHcTsDPwT+AHzd9s09HDcd+EegdgVxvO1/a6QvEREREVFJgjNCSRpne43tPDdlCHWJ59eAnwNP96cOSesAnbY/3WCRA4GLbH+vlzrfBlwD7G/7NknjgLf3p18RERER0cYJjqTNgUW2N6x/DWxf/j0X+DTwVuAw27+StBFwObBxqebnto/r+st+N7/0b1Z+zX8P8ABwqO2VkvYG5gBrqWL9VdsLJL2L6pf6rUr5K2yfKulC4MXy/lTgz7sZbZkpaRegA5hr++zSp2nAXKpf/8eXfReUffsA3wWeB25sIHZ7lH6vW/r9HdtXln0LgDuAnUofbHt2id1P66rZjOqi/jhJlwHTgAnAQyU+L5Tjxkk6t9TXCXzR9v199bH0ZRGvf4c3ARba/qs+YtEJTAKOLf2fJ+kVYP9av3v4LE8GtgTWA7YAdpd0J2VETdI7gX8q5z2R6jP9rqRvAF8AXpY0kzJ61M3p7A/8yvZtVEFdAzxX+nxw2f9fwJ8BTwDHAN+j+q7cARxgu7ORuAF0dHQ0emhLGy3nORIk1s3zwvKHh6Xd8RMmMHkUfs75bjdX4t087Rzrtk1w+vAOqovhk8pF5+nALsBM4DHbHweQNLnB+nYDptt+StL5wLeBE4BTgKNt3yppLPC2cvylwI22P1/aqZ/UvBPwEdv/3UNbG9veXdLGwJ2SfgncR5WYzbT9gKRJwCJJC6mSmh8BO9teKunEBs5nCbCr7bWlncWS5tclJZsBu1MlCssknWf7QWB6OZ/tgKuBs8vxx9p+tuybA8wCZpd92wCH2P6KpJOAb1F9Dn2qTV+TtBlwM3B6GfnoNha2H6gr+x1JhwP71qb8SYKeP0vKOX+o7lzqu3Mx8Pe2fylpPHCTpDtsf0/SNlTJ9tn07P3AH0py1QEsBk6oi/kOwAdsL5d0QznHjwD/TfV57UE1GtWQFStWNHpoy+ro6BgV5zkSJNbNNXGY2l29atWo+5zz3W6uxLt5WinWA0nERuttol+yfUPZvo3qF/na9ickfU/SZ4FG16jcYPupsn0e8LGy/QvgzPIr/ta2fydpPWBn4Kxa4doFczGvl+SmVj+lvX8FZgB/CmwNXFnWmNxKNVqyNfBhYIntpaX8Dxs4n6lUIxu/AeYDU6hGYGqusv2q7ZXA/bwePyRtCsyjSjBqa1O+JGmxpHupRiLqp4kttX1n2a7/LBoi6e3A9cCJZfSjt1g0oqfPEqqk9NmuBcr0shnAP5Y2/w9VktJom1D92LAHcBjwIaqRvDPr9v/a9vKyfSfVaM/KMtJzN9XoUkRERMSo184jOGt4YwK3bt32qrrt2vQxbC8sC733pFo3MRvYtY+6uhpDNdWKMj3rA1QXyVdJ+l/AFX30uz8L/2ttjQGe7W69Tpkm11/fB64D9rHdKem3vPGcX6nbfi1+ktYHbgBm2V5Y3tsNOIpqBOkZSfsDR/RVVyMkvYVqpOgi21eXt3uMxQC89lkWPX0265TjdrD9hwG29RjwC9v/CSDpcuD8uv1d4zTguEVERES0s3YewXkSeIuk2i/b+/d2MICkPwF+V9abfJ1qDcw6wLLadpny9NkuRT8jaWrZPphquhSSptm+1/Y/UE1L26Gspfl34Li6dvtz382DS5mpwKeABcBSqjUeB9bV+b6ScCwEtpNUW+/z5Qba2AB4tCQ3e9LA6ECZGjYPuMT2vC51rQSekzQBOLSB9ht1LvCA7f9V915vsejqd/zxQv5uP8ve2H6RaqSoNu0OSZtK2qShsyjVADuW7xfAJ6lGZiIiIiKiH9r2V1/bayQdC/xM0mM0cKFKNc3oeEm1EZsjbb8q6WpAwH9QLZJf3KXcTcD5kt5LdYF9fHn/tJJYrKFaIH5Yef8A4J8lHUT16/vlVOuAGvG4pFuBdwKn2r4XQNJewNwyHW4s8BQg209LOgK4XtLzVBfSfZkNnCNpNnBP+evLLlRTrDaSdEB57zKqqXgHUC3YX051g4cdGzvVnkl6D3AI8JsyLQzg5jJq1m0suqnmH4ELJL3M6wlwT59lX2YCZ5VpeFBNMTuUKtHuk+3HJf1/wEJJrwKP8MaRrogIAMZN3aR6Jk2zTZna9zERESPAmM7Ohm+8FBHtobNVFhYORistoGx1iXVzJd7Nk1g3V+LdPK0U63KTgTH9KdPOU9QiIiIiImKUadspatG7bp5bU3ON7VOa3Z+elJs+XNjNrrNt/7jJ3Rm0Ls/uqbnN9pHD0Z+IiIiIdpMEZ5Sy/TRvvF3ziGT7Llqgn42qPbsnIiIiIt4cmaIWERERERFtIwlORERERES0jSQ4ERERERHRNpLgRERERERE28hNBiIiIlrIi488xNjljzWnsSlTWTt5w+a0FRExRJLgREREtJA1zzzJ6tNmNaWt8bNPhyQ4EdFikuAMEUknA+vZPuFNqv8uYCfbv5f0KPBZ278ZZJ2dwCTbLw1FHwfRjxnAGd3dQrm3fYNssz6eXwMuL7fO7vdnKelG4Bjby/o4bmfgh8AfgK/bvrmbY94FXAp8CHgwt5WOiIiI6J8kOCOcpHG219hum2fBjARd4vk14OfA0/2pQ9I6QKftTzdY5EDgItvf6+WYl4D/F1gfOLk//YmIiIiIUZDgSNocWGR7w/rXwPbl33OBTwNvBQ6z/StJGwGXAxuXan5u+7iuv+x380v/ZuXX/PcADwCH2l4p6f9n787D7KrqfP+/Q0ICMpmQAiybAAIiDWhQsIXIoIADYtuN3R9tAjIrerERQUlftC9NI8MPkEhHbeZBJj8E258iNiAQQQ3dhEFAITLGG9NMgiERSExS94+9DpyUNZyqSg51Tn1ez5On9tnDWmt/987z7O9Za+3zMeAUYDlVzI+2Pat8W38usHU5/mrbp0m6FFhU1ncA7+qht2WqpClAJzDd9ozSpm2A6cBEYGzZdknZtj9wKvA8cEMDsdurtHut0u6v2b6mbJsF3AXsUtpg29NK7G6qK2YS1UP9sZKuBLYBxgGPlvi8UPYbI+m8Ul4X8EnbD/XXxtKWObx2L28CzLb9t/3EogtYDzimtH+mpFeAA2rt7uVangRsBawLbAnsLuleSo+apDcB/1bOe22qa3qqpC8BnwBekjSV0nvU/VxsLwRuLz1X3c9zNvCPtu+S9C1gD9vbSRoDPAVsZvuPjcSss7Ozkd1a3kg5z+EgsW6eF+Y/3rS6xo4bx/gRfm1zbzdX4t087Rzrtk9w+rEh1cPwieWh8wxgCjAVmGd7bwBJ4xssbzdgsu2nJV0MfBU4HjgZ+JztOySNBtYp+18B3GD746We+oHOu1A9wPb2wLqx7d0lbQzcK+l24NdUidlU2w9LWg+YUx6MnwcuAHa1PVfSlxs4n3uA99peXuq5W9KNdUnJJGB3qkThMUkX2X4EmFzOZ0fgOmBG2f8Y28+VbacAJwDTyrbtgENtf0bSicBXqK5Dv2rDuCRNAm4DzigP/T3GwvbDdcd+TdKRwN/VhvxJgt6vJeWc31l3LvXNuRz4V9u3SxoL3CLpLttnStqOKtmeweDcAuxFlVi+F3i5JFSbAw81mtwALFiwYJBNaB2dnZ0j4jyHg8S6udZuYl1LlywZ0dc293ZzJd7N00qxHkwiNtJfE73Y9vVl+U6qb+Rryx+QdKak/aiGDTXiettPl+WLgPeX5VuBs8u3+NvaflHSusCuwDm1g2sPzMXMfh5YLyrHPA38CNgTeCuwLXBNmWNyB1VvybbAe4B7bM8tx5/fwPl0UPVsPAjcCEyg6oGpudb2itLr8BCvxQ9JmwIzqRKM2tyUT0m6W9IDVD0l9cPE5tq+tyzXX4uGSNoA+CHwZdt30ncsGtHbtYQqKX2u+wGS1qG6DueWOv+bqneo0Tr7cyuwd4nt74HrqRKevamSn4iIiIgRbyT04Cxj5URurbrlJXXLteFj2J4taTKwD9W8iWlU35j3VVZ3o6iGWlGGZ+1A9ZB8raSvA1f30+6BTPyv1TUKeK6n+TplmNxAfRv4AbC/7S5Jv2Hlc36lbvnV+Elan+rh+wTbs8u63YDPUvUgPSvpAODT/ZXVCElrUvUUXWb7urK611gMwqvXsujt2qxR9tvZ9p9WQb3d/Zzq5QMfoUpofgocBmwB/PNqqC8iIiKi5YyEHpyngDUlbVU+H9DXzgCStgBeLPNNvkg1B2YN4LHachnytF+3Qz8iqaMsH0I1XApJ29h+wPY3qIal7Vzm0vwCOLau3oG8i/OQckwH8GFgFjCXao7HQXVlvq0kHLOBHSXV5vsc0UAdbwSeLMnNPlRzT/pUhobNBL5je2a3shYCv5c0jurBfFU5D3jY9tfr1vUVi+5eBDbotq7Ha9kX24uoeopqw+6QtKmkTRo6i/7LX0I1bHAa1UsR7qQaUvn2shwREREx4rV9D47tZZKOAW6WNI8GHlSphhkdJ6nWY3OU7RWSrgME/Ipqkvzd3Y67BbhY0luoHrCPK+tPL4nFMuAPwOFl/YHANyUdTNVrcRXVPKBG/FbSHcCbgNNsPwAg6aPA9DIcbjTwNCDbz0j6NPBDSc8DbqCOacC3JE0D7i//+jOFatjURpIOLOuupBqKdyDVhP35VC94eHdjp9o7SZsBhwIPlmFhALeVXrMeY9FDMecCl0h6idcS4N6uZX+mAueUYXhQvSziMKpEu5HzGQ3MoxpOt4Gk+cCFtk+qa9fOVHN5lkl6FHjC9tIG2xcRLW5MxybV79M0w4SO/veJiBhmRnV1dfW/V0S0k65WmVg4FK00gbLVJdbNlXg3T2LdXIl387RSrMtLBkYN5JiRMEQtIiIiIiJGiLYfohZ96+F3a2q+Z/vkZrenN+WlD5f2sGmG7Qub3Jwh6/bbPTV32j7q9WhPRERERLtIgjPC2X6GlV/XPCzZvo8WaGejar/dExERERGrVoaoRURERERE20iCExERERERbSMJTkREREREtI0kOBERERER0TbykoGIiIgWsuiJRxk9f15zKpvQwfLxE5tTV0TEKpIEJyIiooUse/Yplp5+QlPqGjvtDEiCExEtJgnOEEk6CVjX9vGrqfz7gF1svyzpSWA/2w8OscwuYD3bi1dFG4fQjj2Bs3p6ZXJf24ZYZ308vwBcVV6VPeBrKekG4PO2H+tnv12B84E/AV+0fVsP+7wZuAJ4J/BIXiMdERERMThJcIYpSWNsL7PdNr/9Mhx0i+cXgJ8AzwykDElrAF22923wkIOAy2yf2cc+i4H/A6wPnDSQ9kRERETEa9o2wZG0OTDH9sT6z8BO5e95wL7AG4DDbf9M0kbAVcDGpZif2D62+zf7PXzTP6l8m78Z8DBwmO2Fkj4GnAIsp4r10bZnlW/rzwW2Lsdfbfs0SZcCi8r6DuBdPfS2TJU0BegEptueUdq0DTAdmAiMLdsuKdv2B04FngduaCB2e5V2r1Xa/TXb15Rts4C7gF1KG2x7WondTXXFTKJ6qD9W0pXANsA44NESnxfKfmMknVfK6wI+afuh/tpY2jKH1+7hTYDZtv+2n1h0AesBx5T2z5T0CnBArd29XMuTgK2AdYEtgd0l3UvpUZP0JuDfynmvTXVNT5X0JeATwEuSplJ6j7qfi+2FwO2l56r7eR5S2vcH4O3A74DPA2dS3St3AQfa7mokbgCdnZ2N7trSRsp5DgeJdfO8MP/xptU1dtw4xo/wa5t7u7kS7+Zp51i3bYLTjw2pHoZPLA+dZwBTgKnAPNt7A0ga32B5uwGTbT8t6WLgq8DxwMnA52zfIWk0sE7Z/wrgBtsfL/XUD3DeBdjD9h97qWtj27tL2hi4V9LtwK+pErOpth+WtB4wR9JsqqTmAmBX23MlfbmB87kHeK/t5aWeuyXdWJeUTAJ2p0oUHpN0ke1HgMnlfHYErgNmlP2Psf1c2XYKcAIwrWzbDjjU9mcknQh8heo69Ks2jEvSJOA24AxJY3qLhe2H6479mqQjgb+rDfmTBL1fS8o5v7PuXOqbcznwr7ZvlzQWuEXSXbbPlLQdVbI9g8HbGdjB9nxJ15dz3AP4I9X12ouqN6ohCxYsGEJTWkNnZ+eIOM/hILFurrWbWNfSJUtG9LXNvd1ciXfztFKsB5OIjdQEZ7Ht68vyncDZdctflHQm8FPgxgbLu97202X5Iqpv8gFuBc6WdC3w4/JN/7rArsA+tYNrD8zFzD6Sm1r5lAfwHwF7AsuAbYFr6h66x5V1y4F7bM8t68+nSuj60gFcLGnrUvYEqh6YO8v2a22vABZKeoiqR+MRAEmbAjOpEoza3JRPlURyLFWS95u6uubavrcs3wl8tJ+2rUTSBsAPgS/bvlPSX9J7LB7uuZSV9HYtoUpKn+t+gKR1qK5DR12d65U6bx7I+fTh57bnl+V7gSdLrw+SfknVu9RwghMRERHRrto5wVnGyr/zs1bd8pK65drwMWzPljSZKvk4iKqX4b39lNXdKKqhVpThWTsA7weulfR14Op+2j2Qif+1ukYBz/U0X6cMkxuobwM/APa33SXpN6x8zq/ULb8aP0nrA9cDJ9ieXdbtBnyWqgfpWUkHAJ/ur6xGSFqTqqfoMtvXldW9xmIQXr2WRW/XZo2y3862/7QK6u1J9zgNOm4RERER7aydf+jzKWBNSVuVzwf0tTOApC2AF8t8ky9SzYFZA3istlyGPO3X7dCPSOooy4dQDZdC0ja2H7D9DaphaTuXuTS/AI6tq3cg7+A8pBzTAXwYmAXMpZrjcVBdmW8rCcdsYMfSGwNwRAN1vJGqh6BL0j5UvQN9KkPDZgLfsT2zW1kLgd9LGgcc1kD9jToPeNj21+vW9RWL7l4ENui2rsdr2Rfbi4A7eG3YHZI2lbRJQ2cREREREatM237ra3uZpGOAmyXNo4EHVaphRsdJqvXYHGV7haTrAAG/opokf3e3426hGtL1FqoH7OPK+tPrhnn9ATi8rD8Q+Kakg6m+fb+K/oeN1fxW0h3Am4DTbD8AIOmjwPQyqX008DQg289I+jTwQ0nPA26gjmnAtyRNA+4v//ozhWoeyEaSDizrrgTOoTrfh4H5VC94eHdjp9o7SZsBhwIPqnr1M8Btpdesx1j0UMy5wCWSXuK1BLi3a9mfqcA5kh4onxdRJXNPNXg+o4F5VMPpNpA0H7jQ9kkN1h8RI8SYjk2q36dphgkd/e8TETHMjOrqavjFSxHRHrpaZWLhULTSBMpWl1g3V+LdPIl1cyXezdNKsS4vGRg1kGPaeYhaRERERESMMG07RC361sPv1tR8z/bJzW5Pb8pLHy7tYdMM2xc2uTlD1u23e2rutH3U69GeiIiIiHaTBGeEsv0M5XdrhjPb99EC7WxU7bd7IiIiImL1yBC1iIiIiIhoG0lwIiIiIiKibSTBiYiIiIiItpEEJyIiIiIi2kZeMhAREdFCFj3xKKPnz2tOZRM6WD5+YnPqiohYRZLgREREtJBlzz7F0tNPaEpdY6edAUlwIqLFZIhatBxJXZLWXQ3l/o2kdzew34WSdlvV9UdERETE0KUHJ+I1fwPMAf67r51sH9Gc5kRERETEQCXBiWFJUhdwIvC3wIbAl2xf1+Cxo4EzgA+VVf8JnGB7uaRLgT8BWwCbArcD/wt4H/DXwN6SjgC+bvvyXsqfBZxl+/pS3ivAW0t5s4GDbXf1cuxGwFXAxmXVT2wfK+kkYF3bx5f9Xv1clt8GrF/quRs4HTgb2Az4nu0vNRL3aM5JAAAgAElEQVSbms7OzoHs3rJGynkOB4l187ww//Gm1TV23DjGj/Brm3u7uRLv5mnnWCfBieHsRds7S5oCGGgowQE+DUwG3lk+/7is+3b5/FfArlSJyQ3Ap23PkPQDYI7tGQNs5/bA3sAK4N6yfHMv+04F5tneG0DS+AbreBewE7AYuIcqwfkw1f/hJySdb/uRRhu8YMGCRndtWZ2dnSPiPIeDxLq51m5iXUuXLBnR1zb3dnMl3s3TSrEeTCKWOTgxnF1T/t4JdEpaq8Hj9gYutb3U9lLgkrKu5ru2F9teBlwGvH+I7fy+7VdKXfcAW/ax753ABySdKWk/qoSlETfaXmh7OXA/cLPtJbb/CMztp86IiIiIESMJTgxnrwCUh3povMdxFNB9iFiPQ8Z62XegXqlbXk4f7bQ9m6p36W7gIOC2smkZK/9/7J7Mda+j4TojIiIiRpI8FEU7uhk4RJLL54NZeXjb30uaDiwBDgSuL+tfBDZYnQ2TtAUw3/Y1ku4AHpW0BvAYsE9ZXgfYj2ruUEREREQMQBKcaEfnA1tRzYcBuBG4oG777cD3gUll+fyy/jvApZL+nj5eMjBEewLHSar12Bxle4Wk6wABvwIeperhiYj4M2M6Nql+n6YZJnQ0p56IiFVoVFfXUEfnRLSO8tazwbxIoJ10tcrEwqFopQmUrS6xbq7Eu3kS6+ZKvJunlWJdXjIwaiDHZA5ORERERES0jQxRi5YlaQ5/fg/fafuo3o6xfUiDZe8LnNrDpv9t+4YGjv934D3dVi+zvVMj9UdERETE4CTBiZa1OpOFksT0m8j0cXyvSVZERERErD4ZohYREREREW0jCU5ERERERLSNJDgREREREdE2kuBERERERETbyEsGIiIiWsiiJx5l9Px5zalsQgfLx09sTl0REatIEpyIiIgWsuzZp1h6+glNqWvstDMgCU5EtJgkOEMk6SRgXdvHr6by7wN2sf2ypCeB/Ww/OMQyu4D1bC9eFW0cQjv2BM7q6XXPfW0bYp318fwCcJXtZ8q2kxjAtZR0A/B524/1s9+uwPnAn4Av2r6th30mAxdTDRtdE/h5KXtJwycXEREREUlwhitJY2wvsz359W5LO+kWzy8APwGeGUgZktYAumzv2+AhBwGX2T6zj33mAu+xvbSUfy3wGeDcgbQtIiIiYqRr2wRH0ubAHNsT6z8DO5W/5wH7Am8ADrf9M0kbAVcBG5difmL72O7f7PfwTf+k8m3+ZsDDwGG2F0r6GHAKsJwq1kfbniXpzVQPrluX46+2fZqkS4FFZX0H8K4eelumSpoCdALTbc8obdoGmA5MBMaWbZeUbfsDpwLP08CPV0raq7R7rdLur9m+pmybBdwF7FLaYNvTSuxuqitmEtVD/bGSrgS2AcYBj5b4vFD2GyPpvFJeF/BJ2w/118bSljm8dg9vAsy2/bf9xKILWA84prR/pqRXgANq7e7lWp4EbAWsC2wJ7C7pXkqPmqQ3Af9Wznttqmt6qqQvAZ8AXpI0ldJ71P1cuq1bs5SxorT5kNK+PwBvB34HfB44k+peuQs40HZXI3ED6OzsbHTXljZSznM4SKyb54X5jzetrrHjxjF+hF/b3NvNlXg3TzvHum0TnH5sSPUwfGJ56DwDmAJMBebZ3htA0vgGy9sNmGz7aUkXA18FjgdOBj5n+w5Jo4F1yv5XADfY/nipp36A8y7AHrb/2EtdG9veXdLGwL2Sbgd+TZWYTbX9sKT1gDmSZlMlNRcAu9qeK+nLDZzPPcB7bS8v9dwt6ca6pGQSsDtVovCYpItsPwJMLuezI3AdMKPsf4zt58q2U4ATgGll23bAobY/I+lE4CtU16FfteFrkiYBtwFnSBrTWyxsP1x37NckHQn8XW3InyTo/VpSzvmddedS35zLgX+1fbukscAtku6yfaak7aiS7Rn0QVInVQK6Zfl7ft3mnYEdbM+XdH05xz2AP1Jdr72oeqMasmDBgkZ3bVmdnZ0j4jyHg8S6udZuYl1LlywZ0dc293ZzJd7N00qxHkwiNlJfE73Y9vVl+U6qB8ra8gcknSlpP6DROSrX2366LF8EvL8s3wqcXb7F39b2i5LWBXYFzqkdXHtgLmb2kdzUyqfU9yNgT+CtwLbANWWOyR1UvSXbAu8B7rE9txx/fvcCe9BB1bPxIHAjMIGqB6bmWtsrbC8EHuK1+CFpU2AmVYJRm5vyKUl3S3qAqieifpjYXNv3luX6a9EQSRsAPwS+bPtO+o5FI3q7llAlpc91P0DSOlTX4dxS539T9Q41WicAtheUIXSbUPU87V+3+ee255fle4Gf2V5oexnwS6repYiIiIgRr517cJaxcgK3Vt1y/cTt2vAxbM8uk733oZo3MQ14bz9ldTeKaqgVZXjWDlQPyddK+jpwdT/tHsjE/1pdo4DnepqvU4bJDdS3gR8A+9vukvQbVj7nV+qWX42fpPWB64ETbM8u63YDPkvVg/SspAOAT/dXViMkrUnVU3SZ7evK6l5jMQivXsuit2uzRtlvZ9t/Gmqltv8o6btUPVnXlNXd4zTouEVERES0s3buwXkKWFNS7ZvtA/raGUDSFsCLZb7JF6nmwKwBPFZbLkOe9ut26EckdZTlQ6iGSyFpG9sP2P4G1bC0nctcml8Ax9bVO5B3cB5SjukAPgzMopqg/pKkg+rKfFtJOGYDO0qqzfc5ooE63gg8WZKbfWigd6AMDZsJfMf2zG5lLQR+L2kccFgD9TfqPOBh21+vW9dXLLp7Edig27oer2VfbC+i6imqDbtD0qaSNmnoLKr931KGtlH+fgx4oNHjIyIiIqLStt/62l4m6RjgZknzaOBBlWqY0XGSaj02R9leIek6QMCvqCbJ393tuFuAiyW9heoB+7iy/vSSWCyjmiB+eFl/IPBNSQdTfft+FdU8oEb8VtIdwJuA02w/ACDpo8D0MhxuNPA0INvPSPo08ENJzwNuoI5pwLckTQPuL//6M4VqHshGkg4s666kGop3INWE/flUL3h4d2On2jtJmwGHAg+WYWEAt5Vesx5j0UMx5wKXSHqJ1xLg3q5lf6YC55RheFC9LOIwqkS7EbsCJ0haUdr8U+BfGzw2IkaQMR2bVL9P0wwTOvrfJyJimBnV1dXwi5cioj10tcrEwqFopQmUrS6xbq7Eu3kS6+ZKvJunlWJdXjIwaiDHtPMQtYiIiIiIGGHadoha9K2H362p+Z7tk5vdnt6Ulz5c2sOmGbYvbHJzhqzbb/fU3Gn7qNejPRERERHtJgnOCGX7GVZ+XfOwZPs+WqCdjar9dk9ERERErB4ZohYREREREW0jCU5ERERERLSNJDgREREREdE2kuBERERERETbyEsGIiIiWsiiJx5l9Px5zalsQgfLx09sTl0REatIEpyIiIgWsuzZp1h6+glNqWvstDMgCU5EtJgkOPEqSScB69o+fjWVfx+wi+2XJT0J7Gf7wSGW2QWsZ3vxqmjjENqxJ3BWT6+B7mtbt/0EfJXq13q7gL1tP73qWxsRERHRvjIHJ1Y7SWMAbE+2/fLr3Z7hSNJOwEnAPra3B94LLHxdGxURERHRgtKD0wIkbQ7MsT2x/jOwU/l7HrAv8AbgcNs/k7QRcBWwcSnmJ7aP7d5L00OvzSRJNwCbAQ8Dh9leKOljwCnAcqr75mjbsyS9GTgX2Locf7Xt0yRdCiwq6zuAd/XQ2zJV0hSgE5hue0Zp0zbAdGAiMLZsu6Rs2x84FXgeuKGB2O1V2r1WaffXbF9Tts0C7gJ2KW2w7WkldjfVFTMJuKzE70pgG2Ac8GiJzwtlvzGSzivldQGftP1Qf20sjqXq5XmKqiGvJjcllkuoYrkl8D3gh8C/AJsC59j+RoP1ANDZ2TmQ3VvWSDnP4SCxbp4X5j/etLrGjhvH+BF+bXNvN1fi3TztHOskOK1vQ2C27RMlTQXOAKYAU4F5tvcGkDS+wfJ2AybbflrSxVRDpo4HTgY+Z/sOSaOBdcr+VwA32P54qad+sPYuwB62/9hLXRvb3l3SxsC9km4Hfk2VmE21/bCk9YA5kmZTJTUXALvanivpyw2czz3Ae20vL/XcLenGuqRkErA7sB7wmKSLbD8CTC7nsyNwHTCj7H+M7efKtlOAE4BpZdt2wKG2PyPpROArVNehEX8JPFFisC5VEvM12111Ze8FjAaeBDYA9gDeBMwt7W54mN6CBQsa3bVldXZ2jojzHA4S6+Zau4l1LV2yZERf29zbzZV4N08rxXowiVgSnNa32Pb1ZflO4Oy65S9KOhP4KXBjg+VdXzfv4yLg38ryrcDZkq4Ffmz7QUnrArsC+9QOrj38FzP7SG5q5VOSqR8BewLLgG2Ba6opKUDVW7ItVe/RPbbnlvXnUyV0fekALpa0dSl7AlUPzJ1l+7W2VwALJT1E1UPyCICkTYGZVMnWY2X/T5VEcixVkveburrm2r63LN8JfLSfttUbA7ydKpZjgf8EfgtcXrZ/3/aS0q65VEnlCuB3kl4A/oKqxy0iIiJiRMscnNawjJWv1Vp1y0vqlmvDx7A9m6oX4m7gIOC2BsrqrjbZHdvHAocDS4FrJR3ZQLsHMvG/Vtco4LkyX6f2b3Pb/1G2DdS3gVnADrYnA/NZ+ZxfqVt+NX6S1geuB04osUTSbsBngQ/Z3oGqh6bfsho0jyohXGJ7EfD/A+/uo+yh1BURERHRtpLgtIangDUlbVU+H9DfAZK2AF4s802+SDUHZg3gsdpyGf61X7dDPyKpoywfQkmMJG1j+4Ey1+MKYOcyJOoXVPNHavUO5H2ih5RjOoAPUyUic4GXJB1UV+bbSsIxG9ix9MYAHNFAHW8EnrTdJWkfYKv+DigvRZgJfMf2zG5lLQR+L2kccFgD9TfqKuADkkZJWpNqONovV2H5ERERESNCvvVtAbaXSToGuFnSPF7rjenLnsBxkmo9NkfZXiHpOkDAr6gmyd/d7bhbqIZ0vYUq2TiurD+9bpjXH6h6cwAOBL4p6WCqnoSr6H/YWM1vJd1BNY/kNNsPAEj6KDBd0peo5pw8Dcj2M5I+DfxQ0vOAG6hjGvAtSdOA+8u//kyhSjA2knRgWXclcA7V+T5M1RM0h5V7WYbiGqqXRvwaWEE1pPCiVVR2RLSRMR2bVL9P0wwTOvrfJyJimBnV1dXV/14R0U66WmVi4VC00gTKVpdYN1fi3TyJdXMl3s3TSrEuLxkY0DSFDFGLiIiIiIi2kSFq0fJ6+N2amu/ZPrnZ7emNpMnApT1smmH7wiY3JyIiIqItJcGJlmf7Gcrv1gxntu+jBdoZERER0coyRC0iIiIiItpGEpyIiIiIiGgbSXAiIiIiIqJtJMGJiIiIiIi2kZcMREREtJBFTzzK6PnzVn9FEzpYPn7i6q8nImIVS4ITERHRQpY9+xRLTz9htdczdtoZkAQnIlpQEpx4laSTgHVtH7+ayr8P2MX2y5KeBPaz/eAQy+wC1rO9eFW0cQjt2BM4y/ZOA9lWt8+hwLHACmA0cIHtc1dPayMiIiLaV+bgxGonaQyA7cm2X3692zNMXQe8w/ZkYFfgOElvf53bFBEREdFy0oPTAiRtDsyxPbH+M7BT+XsesC/wBuBw2z+TtBFwFbBxKeYnto/t3kvTQ6/NJEk3AJsBDwOH2V4o6WPAKcByqvvmaNuzJL0ZOBfYuhx/te3TJF0KLCrrO4B39dDbMlXSFKATmG57RmnTNsB0YCIwtmy7pGzbHzgVeB64oYHY7VXavVZp99dsX1O2zQLuAnYpbbDtaSV2N9UVMwm4rMTvSmAbYBzwaInPC2W/MZLOK+V1AZ+0/VB/baSq+MW6j28A1ixlUGK5hCqWWwLfA34I/AuwKXCO7W80Uk9NZ2fnQHZvWSPlPIeDxLp5Xpj/eFPqGTtuHONzXXNvN1ni3TztHOskOK1vQ2C27RMlTQXOAKYAU4F5tvcGkDS+wfJ2AybbflrSxcBXgeOBk4HP2b5D0mhgnbL/FcANtj9e6qkfsL0LsIftP/ZS18a2d5e0MXCvpNuBX1MlZlNtPyxpPWCOpNlUSc0FwK6250r6cgPncw/wXtvLSz13S7qxLimZBOwOrAc8Juki248Ak8v57EjVuzKj7H+M7efKtlOAE4BpZdt2wKG2PyPpROArVNehIZL+GjiNKon5J9sP1G3eDtiLavjak8AGwB7Am4C5pd0ND9NbsGBBo7u2rM7OzhFxnsNBYt1cazepnqVLloz465p7u7kS7+ZppVgPJhHLELXWt9j29WX5TqqH49ryBySdKWk/oNGH3+ttP12WLwLeX5ZvBc6W9CVgW9svSlqXajjVObWDaw//xcw+kpta+ZT6fgTsCbwV2Ba4pszZuYOqt2Rb4D3APbbnluPPb+B8OoCZkh4EbgQmUPXA1Fxre4XthcBDvBY/JG0KzKRKth4rqz8l6W5JDwAHUBKhYq7te8ty/bVoiO0f2N6OKgYHlZ6smu/bXmL7JWAuVVK5wvbvgBeAvxhIXRERERHtKglOa1jGytdqrbrlJXXLteFj2J5N9fB9N3AQcFsDZXU3ijJMyvaxwOHAUuBaSUc20O6BTPyv1TUKeK7M16n929z2f5RtA/VtYBawQ5nfMp+Vz/mVuuVX4ydpfeB64IQSSyTtBnwW+JDtHah6aPota6Bs/xb4b2C/PspeJXVFREREtJskOK3hKWBNSVuVzwf0d4CkLYAXy3yTL1LNgVkDeKy2XIZ/7dft0I9I6ijLh1ASI0nb2H6gzPW4Ati5DIn6BdXbv2r1DuSdooeUYzqAD1MlInOBlyQdVFfm20rCMRvYUVJtvs8RDdTxRuBJ212S9gG26u+A8lKEmcB3bM/sVtZC4PeSxgGHNVB/QyS9rW55IvA+4IHej4iIiIiInuRb3xZge5mkY4CbJc3jtd6YvuxJ9SauWo/NUbZXSLoOEPArqknyd3c77hbgYklvoUo2jivrTy+JxTLgD1S9OQAHAt+UdDBVT8JVVPOAGvFbSXdQzSM5rTbnRNJHgellONxo4GlAtp+R9Gngh5KeB9xAHdOAb0maBtxf/vVnCtV8l40kHVjWXUk1FO9AqpcvzKd6wcO7GzvVfn1G0geAP1H1VM2wfVM/x0TECDSmY5PqN2pWtwkd/e8TETEMjerq6nq92xARzdXVKhMLh6KVJlC2usS6uRLv5kmsmyvxbp5WinV5ycCApilkiFpERERERLSNDFGLltfD79bUfM/2yc1uT28kTQYu7WHTDNsXNrk5EREREW0pCU60PNvPsPLrmocl2/fRAu2MiIiIaGUZohYREREREW0jCU5ERERERLSNJDgREREREdE2kuBERERERETbyEsGIiIiWsiiJx5l9Px5q7eSCR0sHz9x9dYREbGaJMGJiIhoIcuefYqlp5+wWusYO+0MSIITES0qQ9QiWpikPSXNeb3bERERETFcJMGJGEYkpVc1IiIiYgjyMBVtSdK+wKl1q/4S+HvgbcBBZd1dwOdtL5Z0ErANsAHwFuAx4O9tvzTA8hcC3wDuAd4BLAMOsf3rPto6C/gF8FfAK8BHSvknAmsBS4Fjbd9Z9j8F+CTwO+C/+4/Gn+vs7BzMYS1npJzncJBYN88L8x9f7XWMHTeO8bmmQO7tZku8m6edY50EJ9qS7RuAGwAkHQkcSpUoHATsCiwCLgO+CtQGs+8E7EyVpNwITAUuGED5NwLvAd4O/KPtn0o6GLi8lN2X7YEP2l4macvSrg/aflHSdsCPgUmSPgr8NTAZeBn4/gDC8qoFCxYM5rCW0tnZOSLOczhIrJtr7SbUsXTJklxTcm83W+LdPK0U68EkYhmiFm1N0geB44CPAXsD19h+0XYXcH5ZV3Oj7T+Ubf8FbDmQ8m2/UlY/avunZfk7wA6S1u+nqKtsLyvLHyx13y7pPuBKYIykjYH3Ad+1vdj2cuCi/toYERERMZKkByfalqR3AP9O1RPyrKRRQFe33eo/v1K3vJx+vijtXv4Qm7u4bnkU8J+2P9VDnaOGWE9EREREW0sPTrQlSW8GrgMOsv2bsvpm4JOS1iuJwhHAT1Zh+TVbSdqtLB8APGD7xQEUfxPwoTI0rVbfzmXxluqj1pE0mmpoXEREREQU6cGJdnUE0AHMkFRbdyxwBTC7fJ4DnLKKy+8C7gP+QdJ0qp6gP+uJ6YvtRyQdCFwkaW1gLPBz4C7b10vapdSxALgNePMgzyEiWtCYjk2q36lZnSZ0rN7yIyJWo1FdXd1H7ETEYEnaEzjLdn8vFXg9dbXKxMKhaKUJlK0usW6uxLt5EuvmSrybp5ViXV4yMKAh+hmiFhERERERbSND1CL6IOmfgf172PQB2890X2l7Fj28ErqH382p+d/lldMRERERsQokwYnog+2TgZNXQTmv/m5ORERERKw+GaIWERERERFtIwlORERERES0jSQ4ERERERHRNpLgRERERERE28hLBiIiIlrIoiceZfT8eUMvaEIHy8dPHHo5ERHDTBKciIiIFrLs2adYevoJQy5n7LQzIAlORLShDFGLYU3SyZI+UZZPknTW69iWJyVtvxrLv1TS0aur/IiIiIiRID04MazZ/ufXuw0RERER0TqS4MSQSfor4HRg/bLqn4FfAXOAC4APAWsDU4GjgL8CXgY+ZvspSTsA3wLWAdYCzrc9vZR9KTDH9owG23IWsAcwFngOOMz2PEmbN9qeBus5DtgX2B/4Rn0b69tcll8B3gpsCswGDrbdJenNwOXAROAJ6v4/Slof+Drw9hKT24Av2l4uaRZwF7AL0AnY9rRG2l3T2dk5kN1b1kg5z+EgsW6eF+Y/vkrKGTtuHONz3fqVe7u5Eu/maedYJ8GJIZH0RuDfgX1t/4+kN1E9fO8HbAj8zPY/SfoScAuwp+0jJX0LOBr4CvAksLftJZLWBf5b0o22HxpEk063fXxp2xHAGcAny7ZG29OXNSSdS5WUfNj2Ukn9tWl7YG9gBXBvWb4ZOBe43fa/SHoL8EvgP8sxXwd+avsISWsAVwKHUSVoAJOA3YH1gMckXWT7kf4aUrNgwYJGd21ZnZ2dI+I8h4PEurnWXkXlLF2yJNetH7m3myvxbp5WivVgErEkODFUuwJbAD+ue9Dvorq3Ftv+UVl3DzDf9n3l893APmX5DcC3Jb2DKgnoBN4BDCbB+bCk/wWsy5/f3422py8XU/XCTLXd1WCbvm/7FQBJ9wBbUiU47wP+EcD245JuqTvmr4F3l54iqGI0v277tbZXAAslPVTKbDjBiYiIiGhXSXBiqEYB99vevX5lGRK2pG7VcqqhWvWfa/ffqcBTwCG2l0m6iWpY1oBI2gw4B9jZ9hOSdgWuqtul0fb05XZgT6ADeKasW8bKL+zo3vbB1DMK+BvbvY1FGUyZEREREW0vb1GLofoFsLWk99VWSNqZ6gG9UW8E/m9JbrYHdhtkW9YHlgJPlWFdRw2ynL5cDJwN3CKp1mf6GLAzQBmi975eju3uVuDQctwWwF51234ATJM0umyfWPaJiIiIiD7kW98YEtsvSPpr4ExJ06km9z8OfH4AxZwCfEfSgVTJwu2DbMsDkq6lesHBb4GfUs1TWaVsXynpFaok58PA+cBMSb8EfgP8V4NFHQNcLunvgblUw9ZqvgD8f8AvJXVR9T59geplBBExgo3p2KT6DZuhmtAx9DIiIoahUV1djU4jiIg20dUqEwuHopUmULa6xLq5Eu/mSaybK/FunlaKdXnJwEBGBmWIWkREREREtI8MUYuWU17/fHQPmw6peyvasCs7IiIiIla/JDjRcmxfCFzYamVHRERExOqXIWoREREREdE2kuBERERERETbSIITERERERFtIwlORERERES0jbxkICIiooUseuJRRs+fN7RCJnSwfPzEVdOgiIhhJglOREREC1n27FMsPf2EIZUxdtoZkAQnItpUEpx43UjqAtazvbiPfS4B3g08aPsT3bYdAuxn++9Wa0NXA0n3AbvYfnkQx/Ybt4iIiIiRKglODFuSNgY+DrzR9orXqQ2jbS9f1eXanryqy4yIiIiIJDixmpXehhOBvwU2BL5k+7oGjlsPuA14A3CPpMuAbwL/BuwJ/A54uG7/fwfeUz6uC2xoe3wf5X8K+BLQBTwGfMb2M6VX6JPAs8BfAodLWgpcAqwD3AdsBZxi+3pJx5X9xwCvAJ+1fV9/517rhQFeAmYA7weWAIttTyn77AecBKwJrAAOtn1/OYV/lDSgmNbr7OwcyO4ta6Sc53CQWDfPC/MfH3IZY8eNY3yuWUNybzdX4t087RzrJDjRDC/a3lnSFMBAvw/jthdJ2heYU+vtkPR5YAtge6qH/tuBJ8v+R5V91gRupEqEeiRpe+B04F22/0fSv5b9a0Pg3gu8w/ZjZf+7gXNsXyFpJ+C/6oq73PbZZb+9gfpEq5FzfwewN/A22yskjS9lvRW4ENjN9iOSxgFjB1BunxYsWDCQ3VtSZ2fniDjP4SCxbq61V0EZS5csyTVrQO7t5kq8m6eVYj2YRCyviY5muKb8vRPolLTWIMt5H3CZ7T/Zfgm4ood9LgQesP2Nfsq5wfb/lM/nUSUZNT+rS27Wp0qorgKwPQe4v27fd0m6XdKDwNeB7kPP+jv3x4HRwEWSDqpbv09p4yOl3iW2Fw2g3IiIiIgRKQlONMMrAHVzWQbbcziqr42STgY2AI5toJyubuvqPy/uYd/u+yNpLDAT+ILt7YEPAeO67dbnudteCGwHfBd4O/ArSZvQz7n2V25ERETESJUEJ1rJLcBBksZIWhs4oLahzJ35IHBAAy8kuAXYtyQSAEcCP+lpx5KA/Br4h1LPO4Edyua1qBKL/1s+f26gJySpA1jb9n8C04CFwFuohtntK2nrst+4Mi8pIiIiIvqQb32jlZxP6eUA5gM/pZqTA/B/yt9fSAJYZHu3ngqx/StJ/wTcXNOcgq8AACAASURBVCb7Pw58po96PwVcXF4ocDfwS2Ch7Rcl/TNwl6TfAj8exDltClwgaQzV/8cfA3eW+ThHAt+VNBpYDhwMPDCIOiKijYzp2KT6HZuhmNCxahoTETEMjerq+rORNxFRR9I6wEu2uyT9JTAL2Mb2C69vywatq1UmFg5FK02gbHWJdXMl3s2TWDdX4t08rRTr8pKB/oburyQ9OBH9mwKcKan2n+vIFk5uIiIiItpaEpx43Umaw5/fi3fWXv08hHK7v7IZYJntnQZSju2bgJuG0paIiIiIaI4kOPG6G2jCMYByh5QgRURERETryVvUIiIiIiKibSTBiYiIiIiItpEEJyIiIiIi2kYSnIiIiIiIaBt5yUBEREQLWfTEo4yeP2/wBUzoYPn4iauuQRERw0wSnIiIiBay7NmnWHr6CYM+fuy0MyAJTkS0sQxRGyBJJ0k6azWWf5+ktcvyk5K2XwVldklad+itG3I79iy/eTOgbXX7XCrp6NXTOpC0uaTnVlf5DdR/paQFw+V6RURERLSiJDjDhKQxALYn23759W5PDJ6k0YM89CJg8qpsS0RERMRI0zZD1CRtDsyxPbH+M7BT+XsesC/wBuBw2z+TtBFwFbBxKeYnto+VdBKwru3jS1krfQYmSboB2Ax4GDjM9kJJHwNOAZZTxfZo27MkvRk4F9i6HH+17dMkXQosKus7gHdJ6gLWs7247DtV0hSgE5hue0Zp0zbAdGAiMLZsu6Rs2x84FXgeuKGB2O1V2r1WaffXbF9Tts0C7gJ2KW2w7WkldjfVFTMJuKzE70pgG2Ac8GiJzwtlvzGSzivldQGftP1Qf22ss72kW4FNgdnAwba7JB0AHFNiAXC87VvKOTwJXAHsBbwZmAZsBBwATAAOtX1HXTzOAnYH1gY+Z/sOSXsCZ9V+lLT+c1meDtwB7AycIule4HJgE+AxYBRwY+369cT2raXsldbX3csXAB8q7ZoKHAX8FfAy8DHbTzUYQzo7OxvdtaWNlPMcDhLr5nlh/uNDOn7suHGMz/VqWO7t5kq8m6edY902CU4/NgRm2z5R0lTgDGAK1UPiPNt7A0ga32B5uwGTbT8t6WLgq8DxwMm89kA8Glin7H8FcIPtj5d66gc/7wLsYfuPvdS1se3dJW0M3CvpduDXVInZVNsPS1oPmCNpNlVScwGwq+25kr7cwPncA7zX9vJSz92SbqxLSiZRPfCvBzwm6SLbj1B6GyTtCFwH1B7ej7H9XNl2CnACVVIBsB1VQvEZSScCX6G6Do3aHtgbWAHcW5ZvBm6kShy7SvJ3C/AXdceNs72LpJ2BWcCXbb9bVTZxGvDest+GwP22j5e0B3C1pC0baNcOwGdtf76c93XAbbZPkbQZ8EBp42BtCPzM9j9J+lI5vz1tHynpW8DRVLFsyIIFC4bQlNbQ2dk5Is5zOEism2vtIR6/dMmSXK8G5d5ursS7eVop1oNJxEbKELXFtq8vy3cCW9Ytf0DSmZL2Axb3ePSfu97202X5IuD9ZflW4OzyALqt7RfLXIpdgXNqB9ce/ouZfSQ3tfIp9f0I2BN4K7AtcI2k+6h6DsaVde8B7rE9txx/fgPn0wHMlPQg1UP4BKoemJprba+wvRB4iNfih6RNgZlUydZjZfWnJN0t6QGqXpL6YVdzbd9bluuvRaO+b/sV20upErPa8VsCN0r6FfBdYBNJm9Qd993y9x6qXrza57uBrer2W0qVkGL7p1S9I/Wx6M0jtmfXfX4fcEkpZx5VQjIUi23/qCzfA8y3fV/53P0cIiIiIkasdkpwlrHy+axVt7ykbrk2fIzyQDqZ6gHxIOC2BsrqbhTVUCtsHwscTvWQfK2kIxtod6NJVX1do4Dnynyd2r/Nbf9H2TZQ36bq1djB9mRgPiuf8yt1y6/GT9L6wPXACbWHe0m7AZ8FPmR7B6pehX7LGoDejr8a+Jbt7YB3Ul3DP6vX9vJu5fTXhlrM+7snerqOXX2UO1Dd7+GhxjEiIiKiLbVTgvMUsKak2jfZB/R3gKQtgBfLfJMvUs2BWYNqzsS7JK1Rhn/t1+3Qj0jqKMuHUBIjSdvYfsD2N6h6AXYuc2l+ARxbV+9A3s95SDmmA/gwVSIyF3hJ0kF1Zb6tJByzgR0l1eb7HNFAHW8EnizDu/ahgd6A8lKEmcB3bM/sVtZC4PeSxgGHNVD/qvBG4ImyfDhVj9ZgjKXcOyVZW4sq3k8Ab5E0XtIo4B/6KWcWr127TXmtly8iIiIiVqO2+dbX9jJJxwA3S5rHa70xfdkTOE5S7dv5o2yvKPMnBPyKapL83d2OuwW4WNJbqB5+jyvrTy+JxTLgD1QP2gAHAt+UdDDVt+1XUc0DasRvJd0BvAk4zfYDAJI+Ckwvw+FGA08Dsv2MpE8DP5T0POAG6pgGfEvSNOD+8q8/U6gm7W8k6cCy7kqqoXgHUr18YT7V5Ph3N3aqQ/IF4PuSfgf8FPj9IMv5PbC1pP+iGsr2D2U43O8knU11LzxB9eKF7foo5xjgckmfoIrFz6kSv15J+h6vxWqupAdtf3CQ5xERbWpMxybVb9kM1oSO/veJiGhho7q6VuUomogAUPVbRn8qifebqBKivermRr2eulplYuFQtNIEylaXWDdX4t08iXVzJd7N00qxLi8ZGNAUjLbpwYkYZram6sEZBawJ/MswSW4iIiIi2loSnBGih9+tqfme7ZOb3Z7eSJoMXNrDphm2L2xycwbN9v308KOdkv6d6k139ZbVfl8nIiIiIoYmCc4IYfsZenjgHm7Kq4+HfTsHy/ZRr3cbIiIiItpZO71FLSIiIiIiRrgkOBERERER0TaS4ERERERERNtIghMREREREW0jLxmIiIhoIYueeJTR8+cNvoAJHSwfP3HVNSgiYphJghMREdFClj37FEtPP2HQx4+ddgYkwYmINpYhaoMg6SRJZ63G8u+TtHZZflLS9qugzC5J6w69dUNux56S5gx0W90+l0o6evW0DiRtLum51VV+A/VfKWnBcLleEREREa0mCc4wImkMgO3Jtl9+vdsTgydp9CAPvYg2/h2giIiIiNWtrYaoSdocmGN7Yv1nYKfy9zxgX+ANwOG2fyZpI+AqYONSzE9sHyvpJGBd28eXslb6DEySdAOwGfAwcJjthZI+BpwCLKeK79G2Z0l6M3AusHU5/mrbp0m6FFhU1ncA75LUBaxne3HZd6qkKUAnMN32jNKmbYDpwERgbNl2Sdm2P3Aq8DxwQwOx26u0e63S7q/ZvqZsmwXcBexS2mDb00rsbqorZhJwWYnflcA2wDjg0RKfF8p+YySdV8rrAj5p+6H+2lhne0m3ApsCs4GDbXdJOgA4psQC4Hjbt5RzeBK4AtgLeDMwDdgIOACYABxq+466eJwF7A6sDXzO9h2S9gTOsr1T2efVz2V5OnAHsDNwiqR7gcuBTYDHgFHAjbXr1xPbt5ayV1ov6TTgedtnqtp4DbCJ7WfKfTjd9k1/VmAvOjs7G921pY2U8xwOEuvmeWH+40M6fuy4cYzP9WpY7u3mSrybp51j3VYJTj82BGbbPlHSVOAMYAowFfh/7N15mF1Vne7xb0g6ASFoIgEsBVFEQASiDDKDgja2gLcR31bGACpDt43IFC8OSEeBFtrYl0YFmUQQXwZ9EOmLGkY1IBBGgQgYsGMuCIghKCQmqfvHWmUOZQ2nKuGkTtX7eZ56ss/Ze6291tqHh/07v7X2ecL2HgCSJjRZ387AZNtPSboA+BxwPHAqy26IRwOr1+O/A1xn+0P1PI0ToLcHdrX9p17OtY7tXSStA9wt6RbgQUpgdoDthyWNB+6UNJMS1JwH7GB7tqQTm+jPLGAn20vqee6SdH1DULI+5YZ/PPCYpPNtP0LNNkh6B3AV0HXzfoztZ+q+acBJlKACYDNKQHGEpJOBz1KuQ7PeDuwBLAXurts/Aa6nBI6dNfibAbyhodw429tL2ga4CTjR9rY1YDgN2Kke91rgPtvHS9oV+K6kDZto1+bAUbY/Wft9FXCj7WmS3gjcX9s4GDMon6+vUIK024D31HO8C/jZQCqbN2/eIJvRPjo6OkZEP4eCjHVrrbac5RctXJjr1aR8tlsr49067TTWgwnERtIUtRdsX1u3bwM2bNh+n6SvSNoLeKHH0n/rWttP1e3zgffU7RuAsySdAGxq+/m6lmIH4Ktdhbtu/qsr+whuuuqnnu9HwG7AW4FNgcsl3UPJHIyr720HzLI9u5Y/t4n+TAKulPQA5SZ8IiUD0+UK20ttzwceYtn4IWk94EpKsPVYfftgSXdJup+SJWmcdjXb9t11u/FaNOsHtl+yvYgSmHWV3xC4XtKvgO8B60pat6Hc9+q/syhZvK7XdwFvaThuESUgxfbNwIu8fCx684jtmQ2v3w1cWOt5ghKkDNbPgW0ljaUE5qdSArvtgPtt/3k56o6IiIgYNoZbgLOYl/dp1YbthQ3bXdPHqDekkyk3uQcBNzZRV3ejKFOtsH0scDjlJvkKSR9vot3NBlWN5xoFPFPX63T9bWD7+3XfQH2dktXY3PZkYC4v7/NLDdt/HT9JawLXAid13dxL2hk4CtjT9uaUDE2/dQ1Ab+W/C5xjezPgnZRr+Dfntb2kWz39taFrzPv7TPR0HTv7qLdpdU3WvcBHgf9H+ZxuT8nm3LAizhERERExHAy3AOdJ4O8kdX0bv39/BSS9CXi+rjf5NGUNzCqUNRNbSVqlTv/aq1vRD0iaVLenUAMjSRvbvt/21yhZgG3qWppfAMc2nHcgz+icUstMAt5PCURmA3+WdFBDnZvUgGMm8A5JXet9PtbEOV4DPF6nd72Xl2c0elQfinAlcIntK7vVNR94VtI44LAmzr8ivAaYU7cPp2S0BmMs9bNTg7VVKeM9B3izpAmSRlGCjb7cxLJrtx7LsnyDNQP4IjDD9kJKEDqF5csMRURERAwrw2oNju3Fko4BfiLpCZZlY/qyG3CcpK5v54+0vbSubRDwK8oi+bu6lZsBXCDpzZSb3+Pq+6fXwGIx8EfKjTbAgcB/STqEkjG4jLIOqBm/lXQr8DrgNNv3A0jaG5hep8ONBp4CVBeefwL4oaQ/AG7iHFOBcyRNBe6rf/3ZkZJBWFvSgfW9SylT8Q6kPHxhLuUBD9s219Xl8ingB5J+B9wMPDvIep4FNpJ0O2Uq20frdLjfSTqL8lmYQ3nwwmZ91HMM8G1J/0QZi59TAr9eSbqaZWM1W9IDtv++vp4B/BvLApoZlGvwywH2LyLa2JhJ65bfshmsiZP6PyYioo2N6uxcITNoIqIbld8y+ksNvF9HCYh2b1gbtbJ0tsvCwuXRTgso213GurUy3q2TsW6tjHfrtNNY14cMDGj5xbDK4EQMMRtRMjijgL8DvjgEgpuIiIiIYS0BzgjSw+/WdLna9qmtbk9vJE0GLuph19m2v9Xi5gya7fvo4Uc7JX2D8vSzRou7fl8nIiIiIgYvAc4IYvv39HDDPdTYvoc2aOdg2T5yZbchIiIiYrgabk9Ri4iIiIiIESwBTkREREREDBsJcCIiIiIiYthIgBMREREREcNGHjIQERHRRhbMeZTRc58YfAUTJ7FkwlorrkEREUNMApyIiIg2svjpJ1l0+kmDLj926hmQACcihrEEOIMk6UhgNdtfXYF1dgLjbb+wouocZDt2A87s6XdZ+tq3MtvV7bgpwF629+th3ynAl20veiXauDwkvQf4d2C1+tb+tu9diU2KiIiIaDsjYg2OpBUeyNn+xooMbkaiV+K6NOELwNiVcN4+SXo9cD5wgO3NgK2BOSu3VRERERHtZ9hmcGo25ETgA8CtwOcknQjsR+n374CP235S0ljgy8CewBLgN7b/sdbTW5lTgDVsHy/pEWC/rm/bJX0SeKftQyVtDEwH1qLcWE+3fWE9bt963j8A1zXRp92BacCqtT1fsn153XcTcAewPdAB2PZUSWsDP26oZn3gYtvHSroU2BgYBzwKHGb7uXrcGEnfrPV1Ah+x/VC/A1/achHwF+BNwHrALcA/215U9y0ANgImAVtJ2hM4DRgNPA0cYfvRWtc04COUsf9lwzmm0JCl6S1rI2k94PuUzMiu9e1fSFoK7Ea5Ni8Bb61tnQkcYrtT0prAfwBb1DG/Efg08Bbgatub1SDtWWCa7a9IEvC/bO8v6QvAR2v9ncC7bf+xl2E7GrjE9mwA2y8CL9Y+nAJsAqxZ23kXcDpwFvDG2pYTeqm3Rx0dHQM5vG2NlH4OBRnr1nlu7m+Wq/zYceOYkOvVtHy2Wyvj3TrDeayHbYBTrWJ7NwBJB1JuTLezvVTSUZQbxAOAzwBvpgQliySt1USZRt8GDqHc/AJMAY6tN7+XUb6Vf1jSeOBOSTMpQc15wA62Z9dAqj+zgJ1sL5G0DnCXpOsbgpL1gV2A8cBjks63/QgwufbnHcBVwNn1+GNsP1P3TQNOAqbWfZsBh9o+QtLJwGd76Hdf3gXsQLm5vw74RMN5twd2tf2nGoBdUl8/KOlw4FLgXZL2Bvap7X8R+MEAzo+kLWtdR9u+BbCkoylj/kI9BuDtwB7AUuDuuv0TSnBzs+2PSVql1nWY7fMkrSnpdcAGwK+A3YGv1H9nSJoAHA+sbfvFeu1f7KO5bwMel3QDMIESTH3G9sK6fytKVucFyufgdOD9lP+G50g6t17rpsybN6/ZQ9tWR0fHiOjnUJCxbq3V+j+kT4sWLsz1alI+262V8W6ddhrrwQRiwz3Aubhhex/KDeKselM7Bphf9+0FHNe1LqPrpr+fMt3Pc3sNUjYBXk3JGm1a/y6v5aFkSzalZIpmdX1jD5wLnNFPfyYBF0jaCFgMTKRkYG6r+6+wvRSYL+khYEPgEfhrJuNKSrD1WD3+YEkHUDJLqwO/bjjXbNt31+3bgL37aVt332sIIi4GPsSyAOdK23+q2+8C7rX9YH19IXBODQje3a2e8ymBVjO2AK6mZHX6yzz9wPZL9RyzKOP2E8r131bScfW4VwFz6/aNlGDmTcA3gRNrJnAPSvDxPDAb+I6k/wtca3tBH20YA+wIvJcSCF1GCThPrfuvtz2/tvE+ypgtBBZKmk3DtY6IiIgYyYZ7gNO4WH8UZRrRBT0cN6qX8n2V+Svbv5X0IOUb9d0oU8A6JY0CnrE9uXsZSR9spgPdfB24Bti31v9rytSpLi81bC+hXt861epa4CTbM+t7OwNHUbIZT0van5Jl6bOuQRpFmaLVpft16aRnvV0XKAFe4xqyVbvtn0vJZO0G9Bfg9NbXUZTpZj3NB5nBsgDnQErm7KMAtucASNqOErS8h5Jt29P2fb204QngjoYgxsDBfbRxRV6fiIiIiGFjRDxkoLoGOLpOHULSuDqFCeCHwKfqN/B0TVHrp0x3FwEfo9zkdmWOZgN/lnRQ10GSNqkBx0zgHTUbQy3bn9cAj9fg5r2U6XN9qtPkrqSs77iyW13zgWcljQMOa+L8A/FhSavX8x9IyXj0ZCYwWdIm9fUhwN012zGjdEGrSxoNHNpQ7jFgi3pNxlLWSTX6AyWbclBDBgbK+p9XN9mHa4Cp9dxIWkvSm+q+GcDfAxNszwV+CnwRuKEeOx6YZPtm218AHqBMhevNZcB7JI2tgfHfA3mCWkRERMQAjZhvfW1fUgOXm+t0sVWAcyg3kadTFrnfI2kRZcH9fv2U6a5rbcsdtn9bz7m4riOZLukEyiL6pwDZ/r2kTwA/lPQHwE10Yypl+tZU4L76158dKZmGteuaIihrSb5KCTwepmQ77gS2baK+Zt1CWTOzft0+t6eDavboIOCyGgw9XduF7WslbQ/cA8yjBEmvr/tmSvopJXCYQ8nSvK5b3fMlvQ+4VtLqtk+lrKG6QdKLlOxOXz5FeTjBvSoPrVhY35tje66kBcDP6rE31L7eUF+/GrhK0mqUz80sypS5Htn+haTral+X1OO/3E/7ImIEGjNp3fJbNoM1cdKKa0xExBA0qrOzt9lBEYNTn5R2p+2z+zs2VorOdllYuDzaaQFlu8tYt1bGu3Uy1q2V8W6ddhrr+pCBvpYt/I2RNEUtIiIiIiKGuREzRa1d6G9/t6bL1XWK1ZAgaTJl3VF3Z9ue0trWtId2ubYRERER7SwBzhBj+/fU360ZymzfQxu0cyhpl2sbERER0c4yRS0iIiIiIoaNBDgRERERETFsJMCJiIiIiIhhIwFOREREREQMG3nIQERERBtZMOdRRs99YvAVTJzEkglrrbgGRUQMMQlwIiIi2sjip59k0eknDbr82KlnQAKciBjGEuCMMJJOAdawffwQaMtNwJm2rx3IvuU435HAara/Wn/H56223bC/Exhv+4Um6toH2Nn2CU0ceyGwLfCA7X/q5ZhzgJ2ApcBfgKm2ZzTTr4iIiIhYJgFOjBi2v9HwcjKwF+BeDu+VpDG2rwGuaeLYdYAPAa+xvbSPQz9je34tsyUwQ9Ik250DbV9ERETESJYA5xUkaU/gNGA08DRwBPAG4GvALGBLYDEwxfaDtcwhwNGUazMfOMr2bElTgP2B54C3A38EPmT7yVruRGC/Wu53wMdtPynp1cD5wNuA39Z2PNVPuy8FNgbGAY8Ch9l+TtJuwHTgdmB7oBP4iO2HJH0e2LdWMRbYFHgNsDUwDVi1tu1Lti9vON2ukqYCHYBtT21ybD8G/Et9OQrYAphs+94+xuIUYA3KNTkVWFPSPcAttv+11nW8pPcBrwX+t+2r6vk6gROBDwC3SnoM2Mv2fnX/31w3YB5wI/AqYJaki21/taf+dAU31avr2Hb19XHgO8DuwOuBqcDalM/DROBQ27c2M25dOjo6BnJ42xop/RwKMtat89zc3yxX+bHjxjEh16tp+Wy3Vsa7dYbzWCfAeYVIWhu4BNjV9oOSDgcuBU6i3Iz/q+2b643xt4GtJe0MCNjF9kJJ7wcuAHas1W4DbGH7fySdB3wSOFnSgcBbgO1sL5V0FHAWcADweeB522+TtBYlsOova3GM7WdqP6bVNncFHptRbqiPkHQy8FngANunUoIGJF0CXG97vqRZwE62l9Rsxl2Srrf9XK1vfWAXYDzwmKTzbT/S3/ja/hbwrXq+L1ECsfv7GYuuss/WgOyvAUqDpbZ3kLQx8AtJt9r+fd23iu3d6jmndBXo7brZ3lHSPwB32p7cX58knVrbOQHYt1v2Zpzt7SVtA9wEnGh7W0miBGw79Vd/o3nz5g3k8LbU0dExIvo5FGSsW2u15Sy/aOHCXK8m5bPdWhnv1mmnsR5MIJbHRL9y3gXc25WZAS6kTIsaDzxq++b6/iXA5pLWBPamZHVur5mF04H1Gur8ue3/qdu3ARvW7X2APShZgnuAfwY2qPveTcngUIOWq5to+8GS7pJ0PyVL0HhzPtv23T20AQBJ/0bJkhxX35oEXCnpAeB6SsZh44YiV9heWjMYD3Wvrz81cHwPcGCdAtbXWDSja6xmU4LB7Rr2XdxLmf6uW1Nsf972hpTs079LGtuw+3v131mUjFDX67soAV1EREREkAzOK2kUDdOMBlDmAtuf72X/Sw3bS1h2/UYB02xf0EudTavZiKOAHWw/LWl/4BNNtAFJhwLvBd7dsN7k65S1Kvva7pT0a8p0tX7ra6Kt7wNOoCz2f7G+3ddYDFT3a9jbwwf6u24DYvuGGvBuTglgoI5TzYT99TUDHLOIiIiI4S4ZnFfOTGCypE3q60OAu4EFwFtqIAElQ3K/7eeBH1KyJ28AkDRa0lZNnOsa4GhJE2q5cXWhOsAM4ND6/muBf+ynrtdQ1pA8K2kccFgT50fSHpRpbPs0BBtd9T1eg5v3soKyDZI2B75Zz/d0w66+xqLR85S1Lt11jdVGlMzV7U00Z7DXrasvoxo+J0jamrLGZvkm2kdERESMQPnm9xVSsx8HAZdJGkNZ3H8g5SED9wAflTSd8g38wbXMLXVdyzWSRlMW61/Bsm/xezvXJXV9zc312/1VgHOAe4F/Ay6Q9CDwOPDjfpr+37WdDwNzgTspjzjuz8mUqWk/rm0A2JkS9JxTHyRwX/1bET5dz+eG8/1TP2PRaAblgQL3Ajc3PGRgoaSfA2sBRzSsv+nVYK9bg1HAuZImUh468SKghnVKERF/NWbSuuW3bAZr4qQV15iIiCFoVGdnnkLbSvVJZGfa3npltyVGrM52WVi4PNppAWW7y1i3Vsa7dTLWrZXxbp12Guv6kIEBLbnIFLWIiIiIiBg2MkWtxWzfRPltmJWq2+/WNHpfM9OyWkXSN3j5k8wAFrdjBqzbb/c0mmL7nla3JyIiImI4yhS1iJEnU9RihcpYt1bGu3Uy1q2V8W6ddhrrTFGLiIiIiIgRLQFOREREREQMGwlwIiIiIiJi2EiAExERERERw0aeohYREdFGFsx5lNFznxh8BRMnsWTCWiuuQRERQ0wCnIiIiDay+OknWXT6SYMuP3bqGZAAJyKGsQQ4AYCkU4A1bB/fwnPuBpzZ02/a9LVvOc95D7C97RclfQq4rOt3fwY6BpKuAz5p+7F+jtsBOBf4C/Bp2zf2ctxk4D+BrjuP42z/dzNtiYiIiIgiAU6MKLYnN7z8FPBTYEA/bCppFaDT9j80WeQg4GLbX+mjztWBq4H9bd8maQzw6oG0KyIiIiIS4KwUkvYETgNGA08DRwBvAL4GzAK2BBZTfuH+wVrmEOBoyjWbDxxle7akKcD+wHPA24E/Ah+y/WQtdyKwXy33O+Djtp+U9GrgfOBtwG9rO56qZXYHpgGr1nJfsn153XcTcAewPdAB2PZUSWsDP27o5vqUm/pjJV0KbAyMAx4FDrP9XD1ujKRv1vo6gY/YfqjJcbyTZZ/hdYGZtv9R0sbAdEomZCww3faFtUwnMB44prb/Skkv1TEEWL9mZt4IPFzbOr9md94CrAFsCOwi6W5gL9sPSHod8H9qv1cDvmv7AhuX/gAAIABJREFUy5JOAP4J+LOkA6jZox66sz/wM9u3UQZ1MfBsbfOUuv+PwBaU6/hJ4CvARpTrcaDtpn+1t/5o1rA3Uvo5FGSsW+e5ub9ZrvJjx41jQq5X0/LZbq2Md+sM57FOgNNiNRC4BNjV9oOSDgcuBU6i3Lz+q+2ba0DzbWBrSTsDAnaxvVDS+4ELgB1rtdsAW9j+H0nnUW5+T5Z0IOWmfDvbSyUdBZwFHAB8Hnje9tskrUUJrFzrmwXsZHuJpHWAuyRd3xCUrA/sQgkUHpN0vu1HgMm1j+8ArgLOrscfY/uZum9a7evUum8z4FDbR0g6GfhsbV+/uqavSVofuBE4o2Y+LgMOsP2wpPHAnZJm2n64oeyXJH0c2M/2A7UegJ2BybafknQB8Dmga8raLsA7G/rS2JxvA/9m+xZJY4EZku6w/RVJmwF32j6b3r0N+EsNrjqAu4DjG8Z8G2Bz23MlXVv7uCvwJ8r12p2SjWpKu/x68fJop19pbncZ69ZabTnLL1q4MNerSflst1bGu3XaaawHE4jlMdGt9y7g3q7MDHAhJTAYDzxq++b6/iXA5pLWBPamZHVur2tITgfWa6jz57b/p27fRskwAOwD7AHMquX+Gdig7ns3JYNDvWG/uqG+SZTMxgPA9cBESgamyxW2l9qeDzzUcD4krQdcSQkwutamHCzpLkn3UzIRjdPEZtu+u4e2N6Vmon4InFizH28FNgUur32+lZI52rTJKq+1/VTdPh94T8O+67qCm25tWB3YDfjPes5fUoKUZs8J5cuG3YHDgXcCCyjBaJef255bt++mZHvm10zPvZRANiIiImLESwan9UZRpmINtMwFtj/fy/6XGraXsOy6jgKm2b6glzp783XgGmBf252Sfk2Zrtbn+Wowdi1wku2Z9b2dgaOAHWw/LWl/4BNNtL1fkv6Okim62PZVDf16pttam8Hqfq1e6OW4Vepx29j+yyDP9QRwg+3/ByDpMkqWrkv3cRr0uEVEREQMZ8ngtN5MYLKkTerrQyjfyC8A3lIDAiiZjvttP0/JUBws6Q0AkkZL2qqJc10DHC1pQi03TtKWdd8M4ND6/muBf2wo9xrg8RrcvJcmsgN1atiVwCW2r+xW13zgWUnjgMOaaHezvgk8bPs/Gt6bTVnvclBD2zapwVd3z/O3C/k/IGlS3Z5CmfrWJ9sLKJmirml3SFpP0rpN9aJWA2xbp9QB7EnJzERERETEAORb3xarWYyDgMtqUPA0cCDlIQP3AB+VNJ3yrfzBtcwtdX3KNZJGUxbOX0FZp9HXuS6p62turutFVgHOodw4/xtwgaQHgcd5+QMCpgLnSJoK3Ff/+rMjZYrV2nXtD5S1RV+t/XsYmAvcCWzbRH19kvRGSoD2QJ0WBnBjfajB3sD0usB/NOXhCeqhmv8ELpT0Z5Y9ZGAGZVzeTAmWjmuySQcAX63T8KAErIcBTzZT2PZvJf07MFPSUmAOL890RUQAMGbSuuW3bAZr4qT+j4mIaGOjOjsHOlsqXgmv1O++RPSgs10WFi6PdlpA2e4y1q2V8W6djHVrZbxbp53Guj5koK+lFX8jU9QiIiIiImLYyBS1IcL2TUCyN91Imgxc1MOus21/q8XNWW7dfruny222j1wZ7YmIiIgYbhLgxJBm+x5e/ljptpYpiBERERGvrExRi4iIiIiIYSMBTkREREREDBsJcCIiIiIiYthIgBMREREREcNGHjIQERHRRhbMeZTRc58YfAUTJ7FkwlorrkEREUNMApyIiIg2svjpJ1l0+kmDLj926hmQACcihrEEOIMk6UhgNdtfXYF1dgLjbb+wouocZDt2A87s6ZHGfe1bme3qdtwUYC/b+/Ww7xTgy7YXvRJtHCxJewJnAJ3A3wE/AD5ru3OlNiwiIiKizYyINTiSVnggZ/sbKzK4GYleievShC8AY1fCefvzM+CdtidTfvfnvcDeK7dJEREREe1n2GZwajbkROADwK3A5ySdCOxH6ffvgI/bflLSWODLwJ7AEuA3tv+x1tNbmVOANWwfL+kRYD/b99Yyn6TcrB4qaWNgOrAW5cZ6uu0L63H71vP+AbiuiT7tDkwDVq3t+ZLty+u+m4A7gO2BDsC2p0paG/hxQzXrAxfbPlbSpcDGwDjgUeAw28/V48ZI+matrxP4iO2H+h340paLgL8AbwLWA24B/tn2orpvAbARMAnYqmYvTgNGA08DR9h+tNY1DfgIZex/2XCOKTRkaXrL2khaD/g+8O/ArvXtX0haCuxGuTYvAW+tbZ0JHGK7U9KawH8AW9QxvxH4NPAW4Grbm9Ug7Vlgmu2vSBLwv2zvL+kLwEdr/Z3Au23/sacx65a1W5XyWVla+3AKsAmwZm3nXcDpwFnAG2tbTuip3t50dHQM5PC2NVL6ORRkrFvnubm/Wa7yY8eNY0KuV9Py2W6tjHfrDOexHrYBTrWK7d0AJB1IuTHdzvZSSUdRbhAPAD4DvJkSlCyStFYTZRp9GziEcvMLMAU4tt78XgYcYPthSeOBOyXNpAQ15wE72J5dA6n+zAJ2sr1E0jrAXZKubwhK1gd2AcYDj0k63/YjlIwAkt4BXAWcXY8/xvYzdd804CRgat23GXCo7SMknQx8tod+9+VdwA6Um/vrgE80nHd7YFfbf6oB2CX19YOSDgcuBd4laW9gn9r+FynTtpomacta19G2bwEs6WjKmL9QjwF4O7AHJaC4u27/hBLc3Gz7Y5JWqXUdZvs8SWtKeh2wAfArYHfgK/XfGZImAMcDa9t+sV77F/tp79bABZTg7+vAjxp2bwVsDbxA+RycDryf8t/wHEnn1mvdlHnz5jV7aNvq6OgYEf0cCjLWrbXacpZftHBhrleT8tlurYx367TTWA8mEBvuAc7FDdv7UG4QZ9Wb2jHA/LpvL+C4rnUZXTf9/ZTpfp7ba5CyCfBqStZo0/p3eS0PJVuyKSVTNMv27Pr+uZQ1GH2ZBFwgaSNgMTCRkoG5re6/wvZSYL6kh4ANgUfgr5mMKynB1mP1+IMlHUDJFqwO/LrhXLNt3123b2Pg06W+1xBEXAx8iGUBzpW2/1S33wXca/vB+vpC4JwaELy7Wz3nUwKtZmwBXE3J6vSXefqB7ZfqOWZRxu0nlOu/raTj6nGvAubW7RspwcybgG8CJ9ZM4B6U4ON5YDbwHUn/F7jW9oK+GmH7TmCLGmBfBexMyX4BXG97fm3jfZQxWwgslDSbhmsdERERMZIN9wCncdrPKMo0ogt6OG5UL+X7KvNXtn8r6UHKN+q7UaaAdUoaBTxT11W8jKQPNtOBbr4OXAPsW+v/NWU6U5eXGraXUK9vnWp1LXCS7Zn1vZ2BoyjZjKcl7U/JsvRZ1yCNokzR6tL9uvS2kL636wIlwGtcQ7Zqt/1zKZms3YD+Apze+jqKMt2sp/kgM1gW4BxIyZx9FMD2HABJ2wE7Au+hZNv2tH1fP23B9jOS/hv4MMsCnO5tXJHXJyIiImLYGBEPGaiuAY6uU4eQNK5OYQL4IfCp+g08XVPU+inT3UXAxyg3uV2Zo9nAnyUd1HWQpE1qwDETeEfNxlDL9uc1wOM1uHkvZfpcn+o0uSuBS2xf2a2u+cCzksYBhzVx/oH4sKTV6/kPpGQ8ejITmCxpk/r6EODumu2YUbqg1SWNBg5tKPcYJdsxrl637k9M+wMlm3JQQwYGyvqfVzfZh2uAqfXcSFpL0pvqvhnA3wMTbM8Ffgp8EbihHjsemGT7ZttfAB6gTIXrkaS31mlwSFqdEizf32Q7IyIiIqIaMd/62r6kBi431+liqwDnAPdSphSdBtwjaRFlwf1+/ZTprmttyx22f1vPubiuI5ku6QTKIvqnANn+vaRPAD+U9AfATXRjKmX61lTgvvrXnx0pmYa165oiKGtJvkoJPB6mZDvuBLZtor5m3UJZM7N+3T63p4Nq9ugg4LIaDD1d24XtayVtD9wDzKMESa+v+2ZK+iklcJhDydK8rlvd8yW9D7hW0uq2T6WsobpB0ouU7E5fPkV5OMG9Kg+tWFjfm2N7rqQFlKefQQls1q//QgmirpK0GuVzM4syZa43HwSmSFpM+Zx8H/hWP+2LiBFozKR1y2/ZDNbESSuuMRERQ9Cozs78zEasWCpPSrvT9tn9HRsrRWe7LCxcHu20gLLdZaxbK+PdOhnr1sp4t047jXV9yEBfyxb+xkiaohYREREREcPciJmi1i70t79b0+XqOsVqSJA0mbLuqLuzbU9pbWvaQ7tc24iIiIh2lgBniLH9e+rv1gxltu+hDdo5lLTLtY2IiIhoZ5miFhERERERw0YCnIiIiIiIGDYS4ERERERExLCRACciIiIiIoaNPGQgIiKijSyY8yij5z4xuMITJ7FkwlortkEREUNMApyIiIg2svjpJ1l0+kmDKjt26hmQACcihrkEOAMk6RRgDdvHv0L13wNsb/tFSY8De9l+YDnr7ATG235hRbRxOdqxG3Cm7a0Hsq/hmIuAO22f/Qq1b4Na/0r5v7+kicB/AVsBfwG+l9/HiYiIiBiYrMEZIiSNAbA92faLK7s9MXiSRg+y6EXA7bbfansz4JsrrlURERERI8OwyeB0//a96zWwdf33m8A/AK8CDrf9s/rL8pcB69Rqfmr72O5Zmh6yNutLug54I/AwcJjt+ZI+CEwDllDG9l9s3yTp9cB/AhvV8t+1fVrNSCyo708Ctuoh23KApB2BDmB6V/ZC0sbAdGAtYGzdd2Hdty/wZeAPwHVNjN3utd2r1nZ/yfbldd9NwB3A9rUNtj21jt2PG6pZH7i4jt+lwMbAOODROj7P1ePGSPpmra8T+Ijth/prY4O3S7oBWA+YCRxiu1PS/sAxdSwAjrc9o/bhceA7wO7A64GpwNrA/sBE4FDbtzaMx5nALsBqwNG2b+2eYWp8XbenA7cC2wDTJN0NfBtYF3gMGAVc31v2SdJGwBbAB7ves/1U3bcB5TN8HrBnbdcBwJHAu4AXgQ/afrLZQezo6Gj20LY2Uvo5FGSsW+e5ub8ZdNmx48YxIddqQPLZbq2Md+sM57EeNgFOP14LzLR9sqQDgDOAHSk3iU/Y3gNA0oQm69sZmGz7KUkXAJ8DjgdOZdkN8Whg9Xr8d4DrbH+onqdxCtT2wK62/9TLudaxvYukdYC7Jd0CPEgJzA6w/bCk8cCdkmZSgprzgB1sz5Z0YhP9mQXsZHtJPc9dkq5vCErWp9zwjwcek3S+7UeAybU/7wCuArpu3o+x/UzdNw04iRJUAGxGCSiOkHQy8FnKdWjW24E9gKXA3XX7J8D1lMCxswZ/M4A3NJQbZ3t7SdsANwEn2t5WkoDTgJ3qca8F7rN9vKRdge9K2rCJdm0OHGX7k7XfVwE32p4m6Y3A/bWNvXkbMBf4Vh3PJ4ETbP+qoV0/s/0ZSSfU/u1m++OSzgH+hTKWTZk3b16zh7atjo6OEdHPoSBj3VqrLUfZRQsX5loNQD7brZXxbp12GuvBBGIjZYraC7avrdu3ARs2bL9P0lck7QU0u0bl2q5v14HzgffU7RuAs+oN6Ka2n5e0BrAD8NWuwl03/9WVfQQ3XfV3fZv/I2A34K3ApsDldc3OrZRsyabAdsAs27Nr+XOb6M8k4EpJD1BuwidSMjBdrrC91PZ84CGWjR+S1gOupARbj9W3D5Z0l6T7KVmSyQ11zbZ9d91uvBbN+oHtl2wvogRmXeU3BK6X9Cvge8C6ktZtKPe9+u8sShav6/VdwFsajltECUixfTMlO9I4Fr15xPbMhtfvBi6s9TxBCUj6MoZy7S6y/U7gW8A1DftfsP2jhj7MtX1PL32IiIiIGLGGU4CzmJf3Z9WG7YUN213Tx6g3pJMpN4gHATc2UVd3oyhTrbB9LHA45Sb5Ckkfb6LdA1n433WuUcAzdb1O198Gtr9f9w3U1ylZjc1tT6ZkEhr7/FLD9l/HT9KawLXASV0395J2Bo4C9rS9OSWr0G9dA9Bb+e8C59S1K++kXMO/Oa/tJd3q6a8NXWPe32eip+vY2Ue93T0B/LZrqpztq4HXNWT7un+Gl3ccIyIiIoal4RTgPAn8naSub7L376+ApDcBz9f1Jp+mrIFZhbJmYitJq9TpX3t1K/oBSZPq9hRqYCRpY9v32/4aJQuwTV1L8wvg2IbzDuQpXVNqmUnA+ymByGzgz5IOaqhzkxpwzATeUdd0AHysiXO8Bni8Tu96L01kA+pDEa4ELrF9Zbe65gPPShoHHNbE+VeE1wBz6vbhlIzWYIylfnZqsLYqZbznAG+WNEHSKOCj/dRzE8uu3Xosy/L15i7gT5I2q2V2oUw3fHZQvYiIiIgYoYbNt762F0s6BviJpCdYlo3py27AcZK6vp0/0vbSun5CwK8oi+Tv6lZuBnCBpDdTbn6Pq++fXgOLxcAfKTfaAAcC/yXpEMq37ZdR1gE147eSbgVeB5xm+34ASXsD0+t0uNHAU4Bs/17SJ4AfSvoD4CbOMRU4R9JU4L76158dKYv215Z0YH3vUspUvAMpD1+YS1kcv21zXV0unwJ+IOl3wM0MPjB4FthI0u2UqWwfrdPhfifpLMpnYQ7lwQub9VHPMcC3Jf0TZSx+Tgn8elSDy0OBC2tg+Gdg3/r+ILsSEcPRmEnrlt+zGYyJk/o/JiKizY3q7BzILJqIaIak1YC/1MD7dZSAaPeGtVErU2e7LCxcHu20gLLdZaxbK+PdOhnr1sp4t047jXV9yMCAlmAMmwxOxBCzESWDMwr4O+CLQyS4iYiIiBjWEuCMED38bk2Xq22f2ur29EbSZMoPXnZ3tu1vtbg5g2b7Pl7+9DgAJH2D8rS0Rou7fl8nIiIiIpZPApwRwvbv6eGGe6ipjz4e8u0cLNtHruw2RERERAxnw+kpahERERERMcIlwImIiIiIiGEjAU5ERERERAwbCXAiIiIiImLYyEMGIiIi2siCOY8yeu4Tgys8cRJLJqy1YhsUETHEJMCJiIhoI4uffpJFp580qLJjp54BCXAiYpjLFLWIQZD0uKS3r+x2RERERMTLJcCJGEIkrSJp1MpuR0RERES7GtXZ2bmy2xAxpEnaHvgKML6+dQJwLvBt4L3A64AzbZ9dj98YmA6sBYwFptu+sI/6TwHeAqwBbAjsAqzdWx2SPgR8CXgRuKJuj7f9QpNdyn/0EW3suV/+jBe++KlBlV3jC9OZsO1OK7hFERGvuAF9+Zs1OBF9kDQR+D6wr+1fSBoNrFl3v8r29pI2AB6QdBHwEnAZcIDthyWNB+6UNNP2w32cahfgnbafkTQG+GlPdQB/oARX29l+RNKxg+nXvHnzBlOsrXR0dIyIfg4FGevWWm05yi5auDDXagDy2W6tjHfrtNNYd3R0DLhMpqhF9G174EHbvwCwvcT2c3Xf5fW9x4HngDcAbwU2BS6XdA9wKzCuvteX62w/U7f7qmM7YJbtR+qxFyx3DyMiIiKGkWRwIvrWV0r0pYbtJZT/njqBZ2xPHuB5GqeXjeqtDkkfJFPMIiIiInqVDE5E334BvK2uw0HSaEkT+jh+NvBnSQd1vSFpE0lr9lFmIHXcBmwl6S1115QB1BsREREx7CWDE9EH23+QtC/wH5JWB5YCx/dx/GJJewPTJZ0AjAaeAjSAc/Zah+2nJB0J/EjSM8APgb8Afx5kFyOizYyZtG75PZvBmDhpxTYmImIIylPUItqMpPG2F9TtQ4HDbQ/ksUid7bKwcHm00wLKdpexbq2Md+tkrFsr49067TTW9SEDeYpaxDD3r5I+TPnv9w/Ax1dyeyIiIiKGjAQ4ES0gaW3gxz3sutr2qQOpy/aXKL99ExERERHdJMCJaAHbvwcG+mS1iIiIiBigPEUtIiIiIiKGjQQ4ERERERExbCTAiYiIiIiIYSMBTkREREREDBt5yEBEREQbWTDnUUbPfWLgBSdOYsmEtVZ8gyIihpgEOBEREW1k8dNPsuj0kwZcbuzUMyABTkSMAAlwYqWSdArwZduLWnjOU4Ff2f6epN2AsbZ/XPdtANxpu6m7AElHAqvZ/mo/x40FfgC8AZhh+9hejjsT+BCwAbC57Qea6lREREREAAlw4hUmabTtJX0c8gXgTKBlAY7tzze83A1Yg55/hLNPksbY/kaTh78DeKPtzfo57gfA14BbB9qeiIiIiIBRnZ2dK7sN0QKS9gROA0YDTwNHULIJXwNmAVsCi4Epth+sZQ4BjqYEwvOBo2zPljQF2B94Dng78EfgQ7afrPs+Us/xNuBwYPf63hjgpVrPPZL+q9Z/P7CUEmwsBf4D2AJYFbgR+HRvQZKkzwP71pdjgU2B1wAvAl8Cdq3v31/P+4Kki4A7gZuBn1AetjEPuLz+3QlcBOwCrAYcbfvWruwOcDawB/AdYF1gDdvH1/acCOxX+/o74OPAq4EfAR3Ar4HTbH+vl0vV1a/Hgb26MjiSjgC2sP3PkrYFbge2tX2HpHOAe2yf21edDfIffUQbe+6XP+OFL35qwOXW+MJ0Jmy70yvQooiIV9yogRycDM4IIGlt4BJgV9sPSjocuBQ4iRJI/Kvtm2tA821ga0k7AwJ2sb1Q0vuBC4Ada7XbUG64/0fSecAngZPrvp2ALW0/Vs//O9tn1e09gG8A29Wb9aOBHWy/UPd/C7jZ9sckrVLbeRhwXk99s30qcGotewlwve35kj4LzLe9bd13BvCZhjZi+35J3+DlAcoGwGuB+2wfL2lX4LuSNqzFXgs8ZPuUevwpDeN8IPCW2relko4CzrJ9gKSPAWfa3rqfy9WbGUDXtLbdgZn13zvqv2cNpLJ58+YNshnto6OjY0T0cyjIWLfWaoMst2jhwlynAcpnu7Uy3q3TTmPd0dEx4DIJcEaGdwH3dmVmgAuBc4DxwKO2b67vXwKcK2lNYG9KVud2SVAi5wkNdf7c9v/U7duA9zbs+1lXcFNtJel/AxMpGZq39tHWfYBtJR1XX78KmNtfByX9G2Wq2SEN9awpab/6ehxwb3/1VIso2Rlq4PcisDHwPCUD5T7avjUwq45ZV+Zrudl+VNJqkt5ACWg+A3xW0qXAuG7jHRERETFiJcAZGUYx8GlJo4ALuq1XafRSw/YSXv5ZeqFroy6uv5KSCZolqYMydauv8/4v279ptqGSDqUEWO+2vbShnqNt39BsPf20qWv8/mS7t7EcBUyzfcEKOGdPbgA+AKxTA6//qq9XRB8jIiIihoX80OfIMBOYLGmT+voQ4G5gAfCWOh0Nyrqa+20/D/wQOLhmDJA0WtJWgzj3qpTgpyvbc3S3/Qsoa1S6XANMlTS6nnctSW/qrfI65W0qsI/tF7vV82lJq9XjxkvatIcqnu92fihrdvav5XaufZjdaw9ffs6jJU2oZcdJ2rKJcs2aQcnc/Ly+/jml7zNW4DkiIiIi2loyOCOA7aclHQRcJmkM5QEAB1IeMnAP8FFJ0ymZmINrmVsknQxcU4ONscAVwF0DPPfz9UEAd0j6LfDf3Q45C7ihTgPbDfgU8O/AvZI6gYX1vTm9nOJk6lPQ6rQwgJ2B04FT6nmXUjIwXwQe6lb++8BBku5h2UMGngU2knQ7ZYrcR20vaqi/t75eImkt4OZ67CqUqYDNTo1D0n9SHpqwLvBTSc82PHntBuCNLAtoZgCfIBmciBFlzKR1y2/aDNTESSu+MRERQ1CeojaC1d+AWZ6F79GeOttlYeHyaKcFlO0uY91aGe/WyVi3Vsa7ddpprOtDBgb0FLVMUYuIiIiIiGEjU9RGMNs3UZ76NeRJugZYv9vbv7W9z8poz/Lo9ts9jd5n+/etbk9ERETEcJIAJ9pCOwYyvWn87Z6IiIiIWLEyRS0iIiIiIoaNBDgRERERETFsJMCJiIiIiIhhIwFOREREREQMG3nIQERERBtZMOdRRs99YuAFJ05iyYS1VnyDIiKGmAQ4ERERbWTx00+y6PSTBlxu7NQzIAFORIwAmaIWsRJImiLprQ2v95H0lZXZpoiIiIjhIBmciJVjCvAM8GsA29cA16zMBkVEREQMB6M6OztXdhsimibpH4AvN7z1NuDDwCbAQfW9O4BP2n5B0inAxsCrgTcDjwEftv3nXup/FXAxsBnwF2C2bdV9Jw30HJI+CEwDllC+UPgX4E3A/wF+DzwPHA+8AdjL9n71XF8C/gl4FrgJ2N321nXfIcDRtb75wFG2Zw9gGPMffUQbe+6XP+OFL35qwOXW+MJ0Jmy70yvQooiIV9yogRycDE60FdvXAdcBSPo4cCiwiBJ47AAsoAQonwO6JqlvDWxDCQauBw4AzuvlFH8PTLD9tnqOCfXf9w/yHKcCR9u+VdJoYHXbN9Ug5Uzb19b6p3Q1QNLewF7AlsCLwJUN+3YGBOxie2Ft1wXAjs2OIcC8efMGcnhb6ujoGBH9HAoy1q212iDLLVq4MNdpgPLZbq2Md+u001h3dHQMuEwCnGhLkv4eOA7YGZgKXG77+brvXOBrDYdfb/uPdd/twIZ9VH0vsImk/6JkTn5U399jkOe4AThL0hXAf9t+oInuvRuw7T/V+rqCKYC9KYHP7ZKgfKMxoYk6IyIiIkaEPGQg2o6kLYFvAPvYfppyk9992lXj65catrumivXI9m+ATYGfUIKaeyWtOthz2D4WOJySZbqiZp3609O5GvddYHty/dvS9vpN1BkRERExIiTAibYi6fXAVcBBtn9d3/4J8BFJ4yWNAj4G/HSQ9b8BWGL7B8CxwCRg4mDPIWlj2/fb/hrwHco0Nihrb17dS7EbgQ9LepWkVVi27gfgh8DBtZ1IGi1pqwF3NCIiImKYyhS1aDcfowQdZ9cpWlACke8AM+vrOykL+wdjc+D0Wvdo4DTb84B5krYYxDlOl7QRsBj4IyWbA3AucKak44ETGgvYvkbSDpTpcr8DbqNOQ7N9i6STgWvqmp6xwBXAXYPsb0S0mTFO7CrPAAAgAElEQVST1i2/aTNQEyet+MZERAxBeYpaxBAkabztBTWD8y1gnu3PrqDqO9tlYeHyaKcFlO0uY91aGe/WyVi3Vsa7ddpprOtDBvIUtYhh4NuSNqA8MOku4N9XbnMiIiIi2kMCnBiRJH0e2LeHXe+z/ftWt6c72/+4stsQERER0Y4S4MSIZPtUym/URERERMQwkqeoRURERETEsJEAJyIiIiIiho0EOBERERERMWwkwImIiIiIiGEjDxmIiIhoIwvmPMrouU8MrNDESSyZsNYr06CIiCEmAU5EREQbWfz0kyw6/aQBlRk79QxIgBMRI0QCnAGSdAqwhu3jX6H67wG2t/2ipMeBvWw/sJx1dgLjbb+wItq4HO3YDTjT9tYD2ddwzEXAnbbPfoXat0Gtv+V3AZJWAX4OvKq+9f+AI20/3uq2RERERLSzrMEZIiSNAbA92faLK7s9MXiSRg+0jO2lwJ62t7S9JfDfwH+s8MZFREREDHPDJoPT/dv3rtfA1vXfbwL/QPmG/HDbP5O0NnAZsE6t5qe2j+2epekha7O+pOuANwIPA4fZni/pg8A0YAllbP/F9k2SXg/8J7BRLf9d26fVjMSC+v4kYKsesi0HSNoR6ACmd2UvJG0MTAfWAsbWfRfWffsCXwb+AFzXxNjtXtu9am33l2xfXvfdBNwBbF/bYNtT69j9uKGa9YGL6/hdCmwMjAMerePzXD1ujKRv1vo6gY/Yfqi/NjZ4u6QbgPWAmcAhtjsl7Q8cU8cC4HjbM2ofHge+A+wOvB6YCqwN7A9MBA61fWvDeJwJ7AKsBhxt+9buGabG13V7OnArsA0wTdLdwLeBdYHHgFHA9X1ln2zPb3i5JrC0nmsDymf4PGDP2q4DgCOBdwEvAh+0/WSzg9jR0dHsoW1tpPRzKMhYt85zc38z4DJjx41jQq7RoOSz3VoZ79YZzmM9bAKcfrwWmGn7ZEkHAGcAO1JuEp+wvQeApAlN1rczMNn2U5IuAD4HHA+cyrIb4tHA6vX47wDX2f5QPU/jFKjtgV1t/6mXc61jexdJ6wB3S7oFeJASmB1g+2FJ44E7Jc2kBDXnATvYni3pxCb6MwvYyfaSep67JF3fEJSsT7nhHw88Jul8248Ak2t/3gFcBXTdvB9j+5m6bxpwEiWoANiMElAcIelk4LOU69CstwN7UG7+767bPwGupwSOnTX4mwG8oaHcONvbS9oGuAk40fa2kgScBuxUj3stcJ/t4yXtCnxX0oZNtGtz4Cjbn6z9vgq40fY0SW8E7q9t7FMNnN8JPAO8r2HXa4Gf2f6MpBNq/3az/XFJ5wD/8v/Zu/Mwu6o63//vEExAmRIIYgQvLSgYpvRPJpmRQUDBFuXTEOZJBBpphYZobBohtqBwG/rSSIuEIYL4AWkuAhoEJQxGhIRJwGiYAzca6BAShcQk9ftjr5KT6hpOVapO6lR9Xs9TT/bZw1prf/fhYX/PWmtvqljW5dVXX61316Y1evToQXGe/UFi3Vir9+CYxYsW5Rr1QL7bjZV4N04zxbonidhgGaK20PbtZflXwCY1y/tK+rakTwH1zlG53fYfyvJVwMfL8s+Bi8sN6EdsvylpDWAn4N9aD269+S9u7iS5aS2fUt8dwB7Ah4GPADeWOTv3U/WWfATYEZhhe2Y5/rt1nM8o4GZJv6G6CR9J1QPT6ibby0oPwzO8Ez8kbQTcTJVsPVtWHyVpuqQnqXpJxtaUNdP2o2W59lrU61bbb9teTJWYtR6/CTBF0lPAD4ENJG1Qc9wPy78zqHrxWj9PBzat2W8xVUKK7alUvSO1sejI721Pq/m8J3B1KedFqoSkS7YPoOop+wHLJywLbd9Rcw6zbT/WwTlEREREDFoDKcFZwvLns1rN8qKa5dbhY5Qb0rFUN4hHAr+oo6y2hlANtcL2l4DjqW6Sb5J0Yh3t7s7E/9a6hgCvlfk6rX8b2/6vsq27vkPVq7GV7bHAbJY/57drlv8aP0lrAbcDZ7fe3EvaFTiZaj7JVlQ36V2W1Q0dHf8D4HLbW1D1gCxpr17bS9uU01UbWmPe1XeivevY0km5HSrzca6i+k62avsdXtE4RkRERAxIAynBmQO8S1LrL9njujpA0t8Ab5b5Jl+mmgOzCtWciY9KWqUM//pUm0M/KWlUWT6GkhhJ2sz2k7YvpeoF2K7Mpfkl8KWaervzlK5jyjGjgP2pEpGZwJ8l/fUGWNLmJeGYBvytpNb5PifUUcc6wAtleNc+1NEbUB6KcDMw2fbNbcqaD7wuaThwXB3194Z1gOfL8vFUPVo9MYzy3SnJ2mpU8X4e+KCkEZKGAId1Uc69vHPtNuKdXr52SRolad2aVYdQDWuLiIiIiG4YML/62l4i6XTgZ5Je5J3emM7sAZwhqfXX+S/YXlbmTwh4imqS/PQ2x90DTJL0Qaqb3zPK+gtKYrEEeIPqRhvgCOA/JB1N9Wv7DVTzgOrxkqT7gfcB37T9JICkA4FLynC4ocAfANn+o6TPAz+W9N+A66hjPHC5pPHAE+WvKztTTdpfX9IRZd31VEPxjqB6+MJsqsnx29d3qivkH4FbJb0CTAVe72E5rwMfkvQQ1VC2w8pwuFckXUz1XXie6sELW3RSzunAdZL+nioWD1Ilfh3ZALhG0ruoeo2ep4pjRMRyVh21QfVem+4YOarrfSIiBoghLS09GkUTEZ2QtDrwl5J4v48qIdqrZm7UytTSLBMLV0QzTaBsdol1YyXejZNYN1bi3TjNFOvykIFuTcEYMD04Ef3Mh6h6cIYA7wK+3k+Sm4iIiIgBLQnOINHOe2ta3WL7vEa3pyOSxgLXtLPpMtvfa3Bzesz2Eyz/9DgAJF1B9aS7Wkta368TERERESsmCc4gYfuPtHPD3d+URx/3+3b2lO0vrOw2RERERAxkA+kpahERERERMcglwYmIiIiIiAEjCU5ERERERAwYSXAiIiIiImLAyEMGIiIimsiC52cxdPaL3Tto5CiWjlivbxoUEdHPJMGJiIhoIkvmzmHxBWd365hh4y+EJDgRMUhkiNogIelcSRet7HYASLpX0qe6u61s31jSa33XOpB0jaR/6Ms6Oql7X0mPSFrUX65XRERERDNJghPRByT1tHf0OeBE4Nu92JyIiIiIQSND1PqApP2AbwJDgbnAScCGwKXADGAbYAlwjO2nyzFHA6dQXZP5wMm2Z0o6BhgHzAO2BN4APmt7TjnuLOBz5bhXgBNtz5G0NnAVMAZ4qbTjD120+3pgM2A4MAs4zvY8SXsAlwAPAR8DWoBDbT8j6Rzg4FLEMOAjwDrAtsBEYLXStm/YvrGmut0ljQdGA7Y9vq7gvtPWbwAHAO8Gjrf9QEkq7gDWBVYHfg2cZHtxTRzfALYusTqNKpH4EPAwcITtllLFNpLuBjYC7gNOLeXcC1xk+/bSjr9+Lsu/BHYA3gY+WXqCTi/13lnK6XCciO1ZpdxPtznfNYAXgPfaXirpaeAXtk+VtD1wie2d6o3f6NGj6921qQ2W8+wPEuvGmTf7uW4fM2z4cEbkGvVIvtuNlXg3zkCOdRKcXiZpfWAysLvtpyUdD1wPnE11Y/1F21NLQnMdsK2kXQEBu9leJGl/YBKwcyl2O2Br2y9LupLqxnyCpCOATYEdbS+TdDJwMXA4cA7wpu0xktajSqzcRfNPt/1aOY+Jpc2ticcWwLG2T5I0AfgacLjt84DzyjGTgSm250uaAexSbsbfC0yXNMX2vFLeB4DdgDWBZyVdZfv3dYZ5XWCa7QmSDgcuLLFaCoyz/bqkIcC1wHHAFTVx3Mr2bEm3AzcAuwN/KvHZC7i77LsDsBNVonIn8HngsjratiXwCdtLJG0NfAUYa3uupEvqPL//wfZCSb8FtpP0IvBnYJeyeS/gnu6U9+qrr/a0KU1j9OjRg+I8+4PEurFW78ExixctyjXqgXy3GyvxbpxminVPErEMUet9OwCPt/bMAFcDY6lu5GfZnlrWTwa2krQWcCBVr85Dkh4DLqDqOWj1oO2Xy/KvgE3K8kHA3sCMctypwMZl255UPTiUpOWWOtp+lKTpkp6k6u0YW7Ntpu1H22kDAJLOB9YAziirRgE3S/oNMAUYSdU71Oom28tszweeaVteFxa29qC0acsqwJklFk8AH29zDg/anl2WHwUesD3f9hLgcapksdUPbS8s264tZdXjhnIMwB7Anbbnls9X11lGR35Odb33Bn4MzJO0YfncrQQnIiIiYqBKD07vG0I1hKu7x0yyfU4H29+uWV7KO9dtCDDR9qQOyqxb6UU6Gdip9DaMo+q16KoNSDoW2AfY0/aysvo7wG3AwbZbJP2Oarhal+XVYVEHx46j6tXY1fYCSV8FPtxJnfW2ofaaLmH5HwZWa7Pvwg6O6w33AOcCLwLfA5YBnwT+FpjWi/VERERENK304PS+acBYSZuXz0dT9RYsADYtiQRUN+NP2n6T6tf4o8qv8UgaKumjddR1G3CKpBHluOGStinb7gGOLevXBT7TRVnrUM39eV3ScKqhXV2StDfVMLaDbL/VprwXSnKzD8v3jvSVdYDXSnKzNlWMe+oQSe8p83qOAH5R1j9LNdQNSWNYvoeorXuBA8oQQai+CytiGlVP305U86HuphoCN932os4OjIiIiBgs0oPTy0rvx5HADeXmeC7VDfKGwGPAYWUuxlLgqHLMfWVey22ShlJN1r8JmN5FXZPLzfNUSVAlrJdTDbc6H5hUJqO/ANzVRdN/Utr5W2A28AiwfR2nPIFqaNpdpQ0Au1IlPZeXBwk8Uf762nXApyU9RfUQgfvp2XB1qB4scCvVXKH7gO+W9RcCN5V5Uk9QJa/tsv24pG8B0yTNoUpI5ndWqaRdgBuBtYAhkg6leojClPKQg4eBJbb/UpZHUA1di4hBYtVRG1TvtemOkaP6pjEREf3QkJaW3hxBEx0pTyK7yPa2K7st0TiS1rS9oCyfC2xq+4iV2ypammVi4YpopgmUzS6xbqzEu3ES68ZKvBunmWJdHjLQrakX6cGJ6FsXSNqZqlfuOZaf1xQRERERvSwJToPYvpfq3TArVZv31tTa1/YfG92ejki6AtixzeolzdYDZvvUtuskjQWuaWf3y2x/r88bFRERETGAZYhaxOCTIWrRqxLrxkq8GyexbqzEu3GaKdY9GaKWp6hFRERERMSAkQQnIiIiIiIGjCQ4ERERERExYCTBiYiIiIiIASNPUYuIiGgiC56fxdDZL9Z/wMhRLB2xXt81KCKin0mCExER0USWzJ3D4gvOrnv/YeMvhCQ4ETGIZIjaACfpXEkXrex2AEi6V9KnurutbN9Y0mt91zqQdI2kf+jLOjqpe19Jj0ha1F+uV0REREQzSoIT0Ysk9bRX9DngRODbvdiciIiIiEEnQ9R6kaT9gG8CQ4G5wEnAhsClwAxgG2AJcIztp8sxRwOnUF2L+cDJtmdKOgYYB8wDtgTeAD5re0457izgc+W4V4ATbc+RtDZwFTAGeKm04w9dtPt6YDNgODALOM72PEl7AJcADwEfA1qAQ20/I+kc4OBSxDDgI8A6wLbARGC10rZv2L6xprrdJY0HRgO2Pb6u4L7T1m8ABwDvBo63/UBJKu4A1gVWB34NnGR7cU0c3wC2LrE6jSqR+BDwMHCE7dY33m4j6W5gI+A+4NRSzr3ARbZvL+346+ey/EtgB+Bt4JOlJ+j0Uu+dpZwOx4jYnlXK/XQ753wNsKi0dxPgFuDHwNdLO//N9qX1R/GvL80a8AbLefYHiXXjzJv9XLf2HzZ8OCNyfXos3+3GSrwbZyDHOglOL5G0PjAZ2N3205KOB64Hzqa6sf6i7aklobkO2FbSroCA3WwvkrQ/MAnYuRS7HbC17ZclXUl1Yz5B0hHApsCOtpdJOhm4GDgcOAd40/YYSetRJVbuovmn236tnMfE0ubWxGML4FjbJ0maAHwNONz2ecB55ZjJwBTb8yXNAHaxvVTSe4HpkqbYnlfK+wCwG7Am8Kykq2z/vs4wrwtMsz1B0uHAhSVWS4Fxtl+XNAS4FjgOuKImjlvZni3pduAGYHfgTyU+ewF3l313AHaiSlTuBD4PXFZH27YEPmF7iaStga8AY23PlXRJnefXmS1KO4cCLwBrl3N4HzCzxHFhvYU1y9uLV0QzvaW52SXWjbV6N/dfvGhRrk8P5bvdWIl34zRTrHuSiGWIWu/ZAXi8tWcGuBoYS3UjP8v21LJ+MrCVpLWAA6l6dR6S9BhwAdUv8q0etP1yWf4V1a/3AAcBewMzynGnAhuXbXtS9eBQkpZb6mj7UZKmS3qSqrdjbM22mbYfbacNAEg6H1gDOKOsGgXcLOk3wBRgJFXvUKubbC+zPR94pm15XVjY2oPSpi2rAGeWWDwBfLzNOTxoe3ZZfhR4wPZ820uAx6mSxVY/tL2wbLu2lFWPG8oxAHsAd9qeWz5fXWcZnbnV9iLbfwZmlvKX2X6Fqpdvw16oIyIiIqLppQen9wyhGsLV3WMm2T6ng+1v1ywv5Z3rNQSYaHtSB2XWrfQinQzsVHobxlH1WnTVBiQdC+wD7Gl7WVn9HeA24GDbLZJ+RzVcrcvy6rCog2PHAbsAu9peIOmrwIc7qbPeNtRe0yUs/4PAam32re096cl3oSs9PYeIiIiIQSU9OL1nGjBW0ubl89FUvQULgE1LIgHVzfiTtt+kmkdxlKQNASQNlfTROuq6DThF0ohy3HBJ25Rt9wDHlvXrAp/poqx1qOb+vC5pONXQri5J2ptqGNtBtt9qU94LJbnZh+V7R/rKOsBrJblZmyrGPXWIpPeUeT1HAL8o65+lGuqGpDEs30PU1r3AAWWIIFTfhYiIiIhogPzq20tK78eRwA3l5ngu1Q3yhsBjwGFlLsZS4KhyzH1lXsttkoZSTda/CZjeRV2Ty83zVElQJaqXUw23Oh+YJOlpqrkad3XR9J+Udv4WmA08AmxfxylPoBqadldpA8CuVEnP5eVBAk+Uv752HfBpSU9RPUTgfro/TL3VfcCtVHOF7gO+W9ZfCNxU5kk9QZW8tsv245K+BUyTNIdqfs/8ziqVtAtwI7AWMETSoVQPUZjSw/OIiAFq1VEbVO+2qdfIUX3XmIiIfmhIS0tvj6SJWuVJZBfZ3nZltyUaR9KatheU5XOBTW0fsXJb9VctzTKxcEU00wTKZpdYN1bi3TiJdWMl3o3TTLEuDxno1hSM9OBE9I0LJO1M1Sv3HMvPa4qIiIiIPpIEp4/Zvpfq3TArVZv31tTa1/YfG92ejki6AtixzeolzdYDZvvUtuskjQWuaWf3y2x/r88bFRERETEIZIhaxOCTIWrRqxLrxkq8GyexbqzEu3GaKdY9GaKWp6hFRERERMSAkQQnIiIiIiIGjCQ4ERERERExYCTBiYiIiIiIASNPUYuIiGgiC56fxdDZL9Z/wMhRLB2xXt81KCKin0mCExER0USWzJ3D4gvOrnv/YeMvhCQ4ETGIZIhaRA1J20q6viyvI+msPqxrD0n71rHfeZL+vq/aERERETGQpAcnoobtR4DDy8d1gLOAb/VRdXsAawB3ddGmc/qo/oiIiIgBJy/6jH5J0gHAv9asGgMcAmwOHFnWPQycZnuhpHOBzYC1gQ8CzwKH2P5zB+W/G7gW2AL4CzDTtiTtAVxke1tJdwCfAH4D/Nn2Tp209+xO2jWGKpH5X8BvgeOADwA/o+pFfRW40fYFHZR9DfCI7cu6e54dyH/0EU1s3q8fYOHX/7Hu/df4l0sYsf0ufdiiiIg+160XfaYHJ/ol23cCdwJIOhE4FlhMlUTsBCygSlD+GWgdjL4tsB0wH5hC1RNzZQdVfAIYYXtMqWNEO/ucSpVYjO2srZL276JduwJjbf9B0iTgn22fKekKYA3bZ3ZWfju6c57tapa3F6+IZnpLc7NLrBtr9W7uv3jRolyfHsp3u7ES78ZppliPHj2628ckwYl+TdIngDOokoTxVD0db5Zt3wUurdl9iu03yraHgE06KfpxYHNJ/wHcC9yxAs3cu4t23W77D2X5KuD/rEBd0L3zjIiIiBhU8pCB6LckbQNcARxkey5V92Tb4VW1n9+uWV5KJwm87eeAj1ANE9sbeFzSaj1salft6mrf7qr7PCMiIiIGmyQ40S9Jej/wI+BI278rq38GHCppTUlDgBOAu3tY/obAUtu3Al8CRgEj2+z2JvBuSV0lEF2165OSRpXlY4Bf1JS/dk/aHxERERHtyy+/0V+dQJV0XCapdd2XgO8D08rnR4CJPSx/K+CCUvZQ4Ju2X5X04dYdbP93eWT0k5LmdfSQAds/kbR1J+26B5gk6YPATKohdwD/BRwp6TE6echAREStVUdtUL3bpl4jR3W9T0TEAJKnqEX0ofLUs548SKAvtTTLxMIV0UwTKJtdYt1YiXfjJNaNlXg3TjPFujxkoFtPUcsQtYiIiIiIGDAyRC0GNEnnAAe3s2lf23/sZlm3Ub2/ptZLtg/q6Bjb59ZZ9ljgmnY2XWb7e/W2MSIiImKwyxC1iMEnQ9SiVyXWjZV4N05i3ViJd+M0U6wzRC0iIiIiIga1JDgRERERETFgJMGJiIiIiIgBIwlOREREREQMGHmKWkRERBNZ8Pwshs5+sb6dR45i6Yj1+rZBERH9TBKciIiIJrJk7hwWX3B2XfsOG38hJMGJiEEmQ9QiVhJJLZLWWNntiIiIiBhIkuBERERERMSAkSFqEe2QdADwrzWrxgCHAJsDR5Z1DwOn2V4o6VxgM2Bt4IPAs8Ahtv/cRVVnStoXWBf4qu0flfr3A74JDAXmAifZniVpA+AHwFrAasAdts/q7vmVl2YNeIPlPPuDxLpx5s1+ru59hw0fzohcmxWS73ZjJd6NM5BjnQQnoh227wTuBJB0InAssJgqudkJWABcC/wz0DoYfltgO2A+MAU4HLiyi6qW2d5J0mbALyXdX9ZPBna3/bSk44HrgR2AN4ADS1L1LmCKpP1s/7Q759csby9eEc30luZml1g31urd2HfxokW5Nisg3+3GSrwbp5li3ZNELEPUIjoh6RPAGcCngb2BG22/absF+G5Z12qK7TfKtoeATeqo4ioA2zOBGcCOVInM47afLvtcDYyVtCZVj863JT0OTAe2BMau4GlGREREDBhJcCI6IGkb4ArgINtzgSFAS5vdaj+/XbO8lO73kLaW3149rb4MjAB2sL01cCvVULWIiIiIIAlORLskvR/4EXCk7d+V1T8DDpW0pqQhwAnA3StY1bGlvg9R9cQ8BEyj6rHZvOxzNPCo7QXAOsD/s/12aeOnV7D+iIiIiAElc3Ai2ncCMAq4TFLrui8B36dKQAAeASauYD2LJD0IrEf1IIE/Akg6ErhB0qpUDxk4ouz/78BNkh4FXgbuWcH6I6LJrDpqg+r9NvUYOapvGxMR0Q8NaWnpaCRMRAxQLc0ysXBFNNMEymaXWDdW4t04iXVjJd6N00yxLg8ZGNKdYzJELSIiIiIiBowMUYvoQ5LOAQ5uZ9O+rcPRIiIiIqL3JMGJ6EO2zwPOW9ntiIiIiBgsMkQtIiIiIiIGjCQ4ERERERExYCTBiYiIiIiIASMJTkREREREDBh5yEBEREQTWfD8LIbOfrG+nUeOYumI9fq2QRER/UwSnIiIiCayZO4cFl9wdl37Dht/ISTBiYhBJglORC+RdC7wr7YX9/D44cD/BbYFsJ27koiIiIhuyhyciDpJGtrFLv8CDFuBKpYCFwF7r0AZEREREYPakJaWlpXdhohukbQf8E1gKDAXOAnYELgUmAFsAywBjrH9dDnmaOAUql7L+cDJtmdKOgYYB8wDtgTeAD5re07ZdmipYwxwPLBXWbcq8HYp5zFJ/1HKfxJYBuxR/v3fwNbAasAvgC/bXtrF+W0MPFLbgyPpB8Attm+SdBYwARhpe6mkp4G/s/27OkOY/+gjmti8Xz/Awq//Y137rvEvlzBi+136uEUREX1uSHd2zhC1aCqS1gcmA7vbflrS8cD1wNlUicQXbU8tCc11wLaSdgUE7GZ7kaT9gUnAzqXY7YCtbb8s6UrgNKoEAmAXYBvbz5b6X7F9cVneG7gC2NH2qZJOAXayvbBs/x4w1fYJklYp7TwOuLIHp34PVXJ1U/n3KWA7SS8Ca3YjuQHg1Vdf7UETmsvo0aMHxXn2B4l1Y63ejX0XL1qUa7MC8t1urMS7cZop1qNHj+72MUlwotnsADze2jMDXA1cDqwJzLI9tayfDHxX0lrAgVS9Og9JgupXgBE1ZT5o++Wy/Ctgn5ptD7QmN8VHJX0VGEnVQ/PhTtp6ELC9pDPK53cDs+s+0+XdA4yXNIyqt+rbVEPZXizbIiIiIoIkONF8htD9IVZDgEm2z+lg+9s1y0tZ/r+Lha0LJbm4maonaIak0cArXdT7d7af62Z7/wfbz5deoHHANKqk5jqqBOfnK1p+RERExECRhwxEs5kGjJW0efl8NPAosADYtAxHgyoReNL2m8CPgaMkbQjVwwIkfbQHda9Glfy09vac0mb7AmDtms+3UfW6DC31rifpb3pQb6ufA+cCd5cep3WBfUmCExEREfFX6cGJpmJ7rqQjgRskrUr1AIAjqIZtPQYcJukSqp6Yo8ox90maANxWko1hVHNZpnez7jclnQM8LOkl4CdtdrkY+Lmkt6geMvCPwLeAxyW1AIvKuuc7qkPSw+VcRkiaDfzU9gll8z1Uc3haE5oHgL1s93TYW0Q0oVVHbVC936YeI0f1bWMiIvqhPEUtBgRJewAX2d52ZbelCbQ0y8TCFdFMEyibXWLdWIl34yTWjZV4N04zxbo8ZKBbT1HLELWIiIiIiBgwMkQtBgTb9wJN0Xsj6TbgA21Wv2T7oJXRnoiIiIiBJAlORIMlkYmIiIjoOxmiFhERERERA0YSnIiIiIiIGDCS4ERERERExDxvzsAAACAASURBVICRBCciIiIiIgaMPGQgIiKiiSx4fhZDZ7/Y9Y4jR7F0xHp936CIiH4mCU5EREQTWTJ3DosvOLvL/YaNvxCS4ETEIJQEZ4CTdC6whu0z+0Fb7gUusn17d7aV7RsDj9jus/9bS7qm1HFZX9XRSd3HAl8ClgFDgStt/3uj2xERERHR7DIHJ6IXSerpjwY/AraxPRbYCThD0ta917KIiIiIwSE9OL1I0n7AN6l+gZ8LnARsCFwKzAC2AZYAx9h+uhxzNHAK1bWYD5xse6akY4BxwDxgS+AN4LO255TjzgI+V457BTjR9hxJawNXAWOAl0o7/tBFu68HNgOGA7OA42zPk7QHcAnwEPAxoAU41PYzks4BDi5FDAM+AqwDbAtMBFYrbfuG7Rtrqttd0nhgNGDb4+sK7jtt/QZwAPBu4HjbD5Sk4g5gXWB14NfASbYX18TxDWDrEqvTgG8DHwIeBo6w3VKq2EbS3cBGwH3AqaWce6npYar9XJZ/CewAvA18UtI/AKeXeu8s5XTY+2T7zZqP7wbeRRXv1p6lRaW9mwC3AD8Gvl7a+W+2L+1OHEePHt2d3ZvWYDnP/iCxbpx5s5+ra79hw4czItdlheW73ViJd+MM5FgnweklktYHJgO7235a0vHA9cDZVDfWX7Q9tSQ01wHbStoVELCb7UWS9gcmATuXYrcDtrb9sqQrqW7MJ0g6AtgU2NH2MkknAxcDhwPnAG/aHiNpParEyl00/3Tbr5XzmFja3Jp4bAEca/skSROArwGH2z4POK8cMxmYYnu+pBnALraXSnovMF3SFNvzSnkfAHYD1gSelXSV7d/XGeZ1gWm2J0g6HLiwxGopMM7265KGANcCxwFX1MRxK9uzJd0O3ADsDvypxGcv4O6y7w5UPShvUyUmnwfqGbK2JfAJ20tKz8tXgLG250q6pJ6Tk3QQVYK8CfAV20/WbN6itHMo8AKwdjmH9wEzSxwX1lMPwKuvvlrvrk1r9OjRg+I8+4PEurFWr3O/xYsW5bqsoHy3GyvxbpxminVPErEMUes9OwCPt/bMAFcDY6lu5GfZnlrWTwa2krQWcCBVr85Dkh4DLqD6Rb7Vg7ZfLsu/orrxBTgI2BuYUY47Fdi4bNuTqgeHkrTcUkfbj5I0XdKTVL0dY2u2zbT9aDttAEDS+cAawBll1SjgZkm/AaYAI6l6h1rdZHuZ7fnAM23L68LCmjk6tW1ZBTizxOIJ4ONtzuFB27PL8qPAA7bn214CPE6VLLb6oe2FZdu1pax63FCOAdgDuNP23PL56noKsH2b7S2ADwNHSqqN2622F9n+MzCzlL/M9itUvXwb1tnOiIiIiAEtPTi9ZwhlSFE3j5lk+5wOtr9ds7yUd67XEGCi7UkdlFm30ot0MrBT6W0YR9Vr0VUbWifG7wPsaXtZWf0d4DbgYNstkn5HNVyty/LqsKiDY8cBuwC72l4g6atUSUJHddbbhtpruoTlfxBYrc2+tb0nPfku/JXtlyT9GvgUVTIDPT+HiIiIiEElPTi9ZxowVtLm5fPRVL0FC4BNSyIB1c34k2XOxY+pek82BJA0VNJH66jrNuAUSSPKccMlbVO23QMcW9avC3ymi7LWoZr787qk4VRDu7okaW+qYWwH2X6rTXkvlORmH5bvHekr6wCvleRmbaoY99Qhkt5T5vUcAfyirH+WaqgbksawfA9RW/cCB5QhglB9FzpV872hHLcn8GTHR0REREREe/Krby8pvR9HAjeUm+O5VDfIGwKPAYeVuRhLgaPKMfeVeS23SRpKNVn/JmB6F3VNLjfBUyVBlaheTjXc6nxgkqSnqeZq3NVF039S2vlbYDbwCLB9Hac8gWpo2l2lDQC7UiU9l5cHCTxR/vradcCnJT1F9RCB+6l/mHpb9wG3Us0Vug/4bll/IXBTmSf1BFXy2i7bj0v6FjBN0hyq+T3zu6j3JEn7An+h6gG6zHZX1y4iBqFVR21QveOmKyNH9X1jIiL6oSEtLT0eSRN1KE8iu8j2tiu7LdE4kta0vaAsnwtsavuIlduqv2pplomFK6KZJlA2u8S6sRLvxkmsGyvxbpxminV5yEC3pmCkByeib1wgaWeqXrnnWH5eU0RERET0kSQ4fcz2vVTvhlmp2ry3pta+tv/Y6PZ0RNIVwI5tVi9pth4w26e2XSdpLHBNO7tfZvt7fd6oiIiIiEEgQ9QiBp8MUYtelVg3VuLdOIl1YyXejdNMse7JELU8RS0iIiIiIgaMJDgRERERETFgJMGJiIiIiIgBIwlOREREREQMGHmKWkRERBNZ8Pwshs5+sfOdRo5i6Yj1GtOgiIh+JglOREREE1kydw6LLzi7032Gjb8QkuBExCCVBKefKG+7X8P2mf2gLfcCF9m+vTvbVma72uz3AvAp279ps34PYJjtu/qqjT0l6Vbgb4BlwELgNNuPrdxWRURERDSfzMGJlUZSoxPsPYB9G1xnvY62vY3tvwUuAiat7AZFRERENKNB2YMjaT/gm8BQYC5wErAhcCkwA9gGWAIcY/vpcszRwClUMZsPnGx7pqRjgHHAPGBL4A3gs7bnlOPOAj5XjnsFONH2HElrA1cBY4CXSjv+0EW7rwc2A4YDs4DjbM8rPROXAA8BHwNagENtPyPpHODgUsQw4CPAOsC2wERgtdK2b9i+saa63SWNB0YDtj2+zthuDDwCXAPsBqwOnGL7/pptlwF7A9+X9H3g/wDblSIm276wlDUGuBp4F/B0aWtrPS9Q00vTSa/NGcABwJeBLwCrSNobuLH8PQL8Z9nn3cDxth8oxx4ATCj1Lga+ZPtXkn4A3GL7pnJ9JwAjbS+V9DTwd1QvpLqmlDkUuMb2RR3Fzfb8mo9rU/XktJ5DC/C1Uu66wIklfvuV2Bxi+5mOym5PeWnWgDdYzrM/SKwbZ97s57rcZ9jw4YzINekV+W43VuLdOAM51oMuwZG0PjAZ2N3205KOB64Hzga2Br5oe2pJaK4DtpW0KyBgN9uLJO1P9Qv7zqXY7YCtbb8s6UrgNGCCpCOATYEdbS+TdDJwMXA4cA7wpu0xktajSqzcRfNPt/1aOY+Jpc2ticcWwLG2T5I0geqG+HDb5wHnlWMmA1Nsz5c0A9il3JS/F5guaYrteaW8D1AlKGsCz0q6yvbv6wzzusATts+UtDvwA0mb1Gx7xva5pU0XUvUkblXqmibpCds/obpO/277Wkk7Ag/WWT9Uicy/A+sB+9teLOkKaoYBloRrXWCa7QmSDgcuBHYu7f1n4BO235S0BfCTEpd7gL2Am8q/TwHbSXoRWNP27yRdCtxp+/xS14iuGizpe1Q9TEOokpdab9jeTtIhwP8F/t72V2oSrCO6EZumeXvximimtzQ3u8S6sVavY5/FixblmvSCfLcbK/FunGaKdU8SscE4RG0H4PHWnhmqHoKxVDfXs2xPLesnA1tJWgs4kKpX5yFJjwEXABvVlPmg7ZfL8q+A1pv5g6h+aZ9RjjsV2Lhs25OqB4eStNxSR9uPkjRd0pNUvUZja7bNtP1oO20AQNL5wBrAGWXVKOBmSb8BpgAjqXqHWt1ke1npWXimbXldWAx8v5zbVOCtmrLfZvlEbm/gStsttt8EfgDsXeK+JdV1wPavgCe70YZJVInC4bYXd7Lfwpo5PbVx+0RZvq9cu+uBVUsyeE9p4zCqnr/vlvPYu2wDuA84TtL5kj5O1bPXKdsn2P4A8FXg2202/7D8OwNosX1H+TydKomOiIiICAZhDw7VTW9LD46ZZPucDra/XbO8lHfiOgSYaLu9+RRDutOA0ot0MrCT7bmSxgGfr6MNSDoW2AfY03br0KfvALcBB9tukfQ7aoaAdVZeD9TG/E+2WzrY1qqlzb/tWcLyCfpqbbbfRzXnZhTwx07KWVSz3Pba/dT2Ue0dJGkVqiRzGlVScx3wIvBzANs/kjSNqkdmPHAcdfay2J4s6buS1rX9elndej2WdtLmiIiIiEFvMPbgTAPGStq8fD4aeBRYAGxaEgmobl6fLL0KP6bqPdkQQNJQSR+to67bgFNahydJGi5pm7LtHuDYsn5d4DNdlLUO1dyf1yUNp7ph7lKZbzIeOMj2W23Ke6EkN/vQu70Aw6ji15qYrQbM7GDfnwEnSBoiaU3gUODuEvff1JSzPdUwtlbPUubtSNoLeG+bcidRDQe8R1Jr3+abVPNb6nEXsF8ZmkapZ7ua7T8Hzi1tfZlqqNu+ZT2SNgXm2L4G+DqwfUcVSVpD0kY1nw8E/rv8RUREREQ3DLpffkvvx5HADeUpXnOpflnfEHgMOEzSJVS/jB9VjrmvzGu5TdJQqhv4m6iGB3VW1+Qyv2aqJKgSysuBx4HzgUllUvoLVDfUnflJaedvgdlUk+M7vGmuMYFqaNpdpQ0Au1IlPZeXBwk8Uf56y+vAhyQ9RDXJ/rAyB6a9fc+neuhA6/CzybZ/WpaPAq6W9GWqWP+q5rivAddKOpFqbs5LbQu2fb2kt6mSnP2B/wKOLEPOWh8y0C7bvy9zqK6StDrVNX8QeLjscg9Vkvnz8vkBYC/bs8tnAYdLWkzVE3V6R3UB7wFukvQequ/dfwMHtunpiogAYNVRG1TvuenMyFGNaUxERD80pKUl91Dw13ekXGR725XdlmbW+qQ023nDXP/V0iwTC1dEM02gbHaJdWMl3o2TWDdW4t04zRTr8pCBbk3tGIxD1CIiIiIiYoAadEPUOmL7Xqp3w6xUbd5bU2tf251Nlm+o8sjlHdusXlJ6wNJ7045mubYRERERzSxD1CIGnwxRi16VWDdW4t04iXVjJd6N00yxzhC1iIiIiIgY1JLgRERERETEgJEEJyIiIiIiBowkOBERERERMWDkKWoRERFNZMHzsxg6+8XOdxo5iqUj8kDLiBickuBEREQ0kSVz57D4grM73WfY+AshCU5EDFIZohYDiqQWSWus7Hb0lKQ9JO27stsRERER0ayS4ET0L3sAPUpwJA3t3aZERERENJ8MUYuGkXQA8K81q8YAhwCbA0eWdQ8Dp9leKOlcYDNgbeCDwLPAIbb/XEddqwAXAxsAxwDrAFcAm1C9LOrbtq8r+74AfB/YC3g/MB5YHxgHjASOtX2/pI2BR4Argf2A1YHDgS8AOwBvAZ+2PaeUexbwOar/zl4BTrQ9p6PzKm37ArCKpL2BG4GLgDuAdUt9vwZOsr1Y0jHAocDcEsvjgce6ig389aVZA95gOc/+ILFunHmzn+tyn2HDhzMi16RX5LvdWIl34wzkWCfBiYaxfSdwJ4CkE4FjgcVUyc1OwALgWuCfgdYB5tsC2wHzgSlUCcWVXVS1GnAN8AIwznaLpH8HfmP7M5LeB8yQNMP2b8oxw21/TNJ2wL3AWba3lyTgm8AuZb91gQdsf0XSPwH3AHvYPlHS5cA/AF+TdASwKbCj7WWSTqZKuA7v6LxsXynpCmAN22eWOA0p5/B6Wb4WOI4qWaO0axvbz3YRk+U0y9uLV0QzvaW52SXWjbV6HfssXrQo16QX5LvdWIl34zRTrHuSiCXBiYaT9AngDGBXqt6SG22/WbZ9F7i0Zvcptt8o2x6i6uXoyk9LmRfVrNu71Int/yfpDmBPoDXB+WH5dwbw7prP06kSlVYLbd9Rs+9s24/V7LtPWT6IKomZUeVIrEqVzHT3vFYBzpS0PzAUGAHU9mA90N3kJiIiImIgyxycaChJ21D1Phxkey7VcLGWNrvVfn67Znkp9SXlvwD2k/SeTspttx7bS9vU27bORW3a01H7hgATbY8tf1va3rltfR3UUWscVS/Nrra3Ai6n6qFqtbCD4yIiIiIGpSQ40TCS3g/8CDjS9u/K6p8Bh0paswzBOgG4ewWr+nop96eS1irr7gY+X9qxAXAAVSLUV24DTpE0otQ5vCR3XXmTam5Oq3WA12wvkLQ2VcITERERER3IELVopBOAUcBlZdgWwJeoJvhPK58fASauaEW2L5T0FnC3pP2ALwL/KekJqt6V8bafWtF6Oql/sqT1gKnlXFeh6n15vItD/ws4UtJjVA8Z+A7waUlPUT2o4H7qG4IfEQPUqqM2qN5z05mRoxrTmIiIfmhIS0vbUTsRMcC1NMvEwhXRTBMom11i3ViJd+Mk1o2VeDdOM8W6PGRgSHeOyRC1iIiIiIgYMDJELZqOpHOAg9vZtK/tPza6PRERERHRfyTBiaZj+zzgvJXdjoiIiIjofzJELSIiIiIiBowkOBERERERMWAkwYmIiIiIiAEjCU5ERERERAwYechAREREE1nw/CyGzn6x851GjmLpiPUa06CIiH4mCU5EREQTWTJ3DosvOLvTfYaNvxCS4ETEIJUEZxCSdC6whu0zG1jnHsBFtrftzraafa4BHrF9WR+1b+NS/kq5I5A0EvgP4KPAX4AflsdhR0REREQ3ZA5ORC+SNLSHh14DPGT7w7a3AP6z91oVERERMXikB6ePSdoP+CYwFJgLnARsCFwKzAC2AZYAx9h+uhxzNHAK1fWZD5xse6akY4BxwDxgS+AN4LO255TjzgI+V457BTjR9hxJawNXAWOAl0o7/lCO2QuYCKxWjvuG7RvLtnuBh4GPAaMB2x4vaX3grprT/ABwre0vSboe2AwYDswCjrM9r+y3qqT/LOW1AIfafqYb4dxS0s+BjYBpwNG2WySNA04HhpX9zrR9TzmHF4DvA3sB7wfGA+uXOI4EjrV9f2sFki4CdgNWB06xfX/bHqbaz2X5EuB+YDtgoqRHgeuADYBngSHAlI56nyR9CNga+HTrOtut12dj4BHgSmC/0q7DgS8AOwBvAZ9u/Q7Ua/To0d3ZvWkNlvPsDxLrxpk3+7ku9xk2fDgjck16Rb7bjZV4N85AjnUSnD5UEoHJwO62n5Z0PHA9cDbVDe0XbU8tCc11wLaSdgUE7GZ7kaT9gUnAzqXY7YCtbb8s6UrgNGCCpCOATYEdbS+TdDJwMdXN8DnAm7bHSFqPKrFyKW8GsIvtpZLeC0yXNKUmKfkA1Q3/msCzkq6y/XtgbDnHvwV+BLTevJ9u+7WybWI51/Fl2xZUCcVJkiYAXyvtq9eWwN7AMuDRsvwzYArwg5LsbAbcQ5VEthpu+2OStgPuBc6yvb0kUSWfu5T91gWesH2mpN2BH0japI52bUWVhJ5WzvtHwC9sT5T0v4AnSxs7MgaYDXyvxHMO8E+2n6pp1wO2vyLpn8r57WH7REmXA/9AFcu6vfrqq93ZvSmNHj16UJxnf5BYN9bqdeyzeNGiXJNekO92YyXejdNMse5JIpYhan1rB+Dx1p4Z4GqqxGBNYJbtqWX9ZGArSWsBB1L16jwk6THgAqoei1YP2n65LP8KaL0BP4jqhn9GOe5UYOOybU+qHhxK8nFLTXmjgJsl/YbqJnwkVQ9Mq5tsL7M9H3impj4kbQTcDBxu+9my+ihJ0yU9SdVLMramrJm2H22n7fW61fbbthdTJWatx28CTJH0FPBDYANJG9Qc98Py7wzg3TWfp1Mlha0WU/X2UK7NWywfi4783va0ms97Ul1rbL9IlZB0ZlVgR+Aa2/8f8D3gtprtC23fUXMOs20/1sE5RERERAxq6cHpW0OohmJ195hJts/pYPvbNctLeecaDgEm2p7UQZkd+Q7VzfTBpQfkd1TD1TqtryRjtwNnt97cl96nk4GdbM8tQ8c+X0fb69XR8T8AzrB9q6RVgD+3dw6ll6q2nK7a0Hr9lrD8jwGrtdlvYTvHdue6vwi81DpUzvYtkr5fetsAFtXsu5QVj2NERETEgJUenL41DRgrafPy+WiqoVULgE1LQgBVT8eTtt8EfkzVC7IhVJPWJX20jrpuA06RNKIcN1zSNmXbPcCxZf26wGdqjlsHeKEkN/tQR2+ApFWpem4m2765TVnzgdclDQeOq6PdvWEd4PmyfDzV/J+eGEZ1LVqTtdWAmaXsD0oaIWkIcFgX5dwLHFPK2Qj4eBf7Twf+JGmLcsxuwH8Dr/foLCIiIiIGsfzy24dKL8aRwA0lKZgLHEE1P+Qx4DBJl1D9Cn9UOea+Mj/ltvJErmHATVQ3wZ3VNbn84j+19FKsAlwOPA6cD0yS9DTwAss/IGA8cLmk8cAT5a8rO1NN2l+/zP2Bam7Rv5Xz+y3VnJJHgO3rKG9F/SNwq6RXgKn0PDF4HfiQpIeohrIdVobDvSLpYqpr8DzVgxe26KSc04HrJP09VSwepEr82lWSy2OBq0ti+Gfe6VHr4alExEC16qgNqvfcdGbkqMY0JiKiHxrS0tLdEVSxoup570s0L0mrA3+xvUTS+6gSor1sz1zJTWvV0iwTC1dEM02gbHaJdWMl3o2TWDdW4t04zRTr8pCBzqZb/A/pwYnofR+i6sEZArwL+Ho/Sm4iIiIiBrQkOCuB7XuB9N60IWks1Qsv27rM9vca3Jwes/0Eyz89DgBJV1A9La3WkvTkRURERPSeJDjRb5RHH/+PxGCgsP2Fld2GiIiIiIEuT1GLiIiIiIgBIwlOREREREQMGElwIiIiIiJiwEiCExERERERA0YeMhAREdFEFjw/i6GzX+x4h5GjWDpivcY1KCKin0mCExER0USWzJ3D4gvO7nD7sPEXQhKciBjEkuD0c5LOBdawfWYD69wDuKi997N0tm1ltqvNfscAn7L9uXa2nQv8q+3FfdHGFSHp48C3gNXLqnG2H1+JTYqIiIhoOpmDEyuNpJWRYP8LMGwl1NspSe8HrgIOt70F1Ytgn1+5rYqIiIhoPunBqSFpP+CbwFBgLnASsCFwKTAD2AZYAhxj++lyzNHAKVSxnA+cbHtm6UUYB8wDtgTeAD5re0457izgc+W4V4ATbc+RtDbVje4Y4KXSjj+UY/YCJgKrleO+YfvGsu1e4GHgY8BowLbHS1ofuKvmND8AXGv7S5KuBzYDhgOzgONszyv7rSrpP0t5LcChtp+pM47XAH8B/gbYCLgPONX24rJtAfAhYBTw0fbibntWKWsicGiJ0a9r6jiGml6ajnptJG0E/BdVz8juZfUvJS0D9gAuAd4GPlzaOg042naLpLWA/w1sXWL+C+DLwKbALba3KEna68BE29+WJODvbI+T9C/AYaX8FmBP2290ELZTgMm2ZwLYfgt4q5zDucDmwFqlndOBC4CLgf9V2vJPHZTbrtGjR3dn96Y1WM6zP0isG2fe7Oc63T5s+HBG5Hr0mny3GyvxbpyBHOskOEVJBCYDu9t+WtLxwPXA2VQ3uF+0PbUkNNcB20raFRCwm+1FkvYHJgE7l2K3A7a2/bKkK4HTgAmSjqC6Sd7R9jJJJ1PdrB4OnAO8aXuMpPWoEiuX8mYAu9heKum9wHRJU2qSkg8AuwFrAs9Kusr274Gx5Rz/FvgRcFnZ/3Tbr5VtE8u5ji/btgCOtX2SpAnA10r76rUDsBPVzf2dwOdr6v1YifOfOon7DpIOBA4q7X8LuLUb9SNpm1LWKbbvAyzpFGAn2wvLPlAloHsDy4BHy/LPqJKbqbZPkLRKKes421dKWkvS+4CNgaeAvYBvl3/vkTQCOBNY3/ZbktYs59CRMcALkn4OjKBKpr5ie1HZ/lGqXp2FVN+DC4D9qf4bfl7Sd8u1rsurr75a765Na/To0YPiPPuDxLqxVu9i++JFi3I9ekm+242VeDdOM8W6J4lYhqi9Ywfg8daeGeBqqhvrNYFZtqeW9ZOBrcqv+wdS9eo8JOkxqpvOjWrKfND2y2X5V8AmZfkgqpvoGeW4U6lulAH2pOrBoSQft9SUNwq4Wf8/e3cebUdVp338GxISQAIkEIQr2KAogwr4MsggCoKKNmpLy9MyDwIKqGADkm4UFNGGFmnaRluxgTCKj4C8oNDIIIkK2AQMEIHYjN0xLzJFQiQDCff9Y+8rJzd3ODe5Ocm5eT5rZaVO7apdu35Vd636nb13HWkqcDMwltID0+XHtl+1/SLwcMPxunoyrqYMgXqsrj5E0r2SHqT0Nm3bUNc027/toe3N+pHt2bYXAJcA72sou9r2n+tyj3GvCcEeDfUs7IpLk7amxG6/mtz05Trbc+u8nPtY9DqdXK/RfZQk46217BeUZGYv4PvAxpJG1s+3A7OAacDlko6izKNa0EcbRlAS449TYvJGSsLZ5WbbL9Y4PADcYntejeM0Bn59IiIiIoak9OC8ZhhlGNFA97nI9mm9lM9tWF7Ia/EeRhnSdFEvdfbm34HrgX3rEKrfU4ZO9Xm8moz9FDjF9l113W7AMZTejGclHUDpZemv7Uuie2xn91HWfb/eLGDRBH21buXTKcnp7pRkry99Xae/sd3TeJDbKAnOpsBBlJ6z/QFsPwEgaSdK0vI+Sm/b3rYf6KUNTwH31OQUSQYO6aONg3l9IiIiIoaM9OC85i5Kz8EW9fOhlOFKLwGb1YQASk/Hg7ZnATdQekE2ApA0XNJ2TRzreuDYOowJSaPqcCooD86H1/XrUr7R77IO8GRNbt5PGebWpzpH5GrK/I6ru9X1IvC8pFHAEU20eyD2k/S6evyDKD0ePekx7rZfosRCtZ7h1LhUjwFb19iNpMxnavQCpTflYEknNqx/CVi7yXO4Hhhfj42k9SRtWstuAz4IjLE9HbgV+Cql94baAzXO9kTbpwNTKUPhenMl8D5JIyUNq3XnDWoRERERA5Rvfavai3EwcGV9KH+W8mC+ETAF2F/SeZRvyw+p+0yq81Ourw/BI4EfUyaB93Wsy+r8mol1DsgqwHcpD7RfAy6S9BDwJIu+IGA88F1J4ynDlHrrDWi0K6WnYf069wfKXJJ/qef3CKW3YzKwYxP1NWsSZc7MG+vyBT1t1Efcsf1TSTtT4j+DkiS9oZbdJelWSuLwBKWXZsNudb8o6QPATyW9zvYZlLlOt0uaQ+nd6csJlJcT3C+pE5hX1z1he7qkl4Bf1W1vr+d6e/28NnCNpNUp1/c+1rJp6wAAIABJREFUFh1u2D0Od0q6sZ7rwrr9N/ppX0SshEaM26D81k1vxo5rXWMiIlZAwzo7Bzoqa+XS7G+vxGvqm9Im2z6/v21juehsl4mFS6OdJlC2u8S6tRLv1kmsWyvxbp12inV9yUBf0xYWkyFqERERERExZGSIWj9s30F5PW80kLQtMKGHovNtH9ba1rSHHn6TqMu1dfhcRERERCylJDixRGxPYdHXSkc/bD9DYhYRERGxTGWIWkREREREDBlJcCIiIiIiYshIghMREREREUNGEpyIiIiIiBgy8pKBiIiINvLSE48yfPpTPReOHcfCMeu1tkERESuYJDgRERFtZMGzTzP/rFN6LBs5/mxIghMRK7kMUYu/kHRC/a2WJd1/d0mTB7NN3ervlLRmXZ4iafVlcIyPSvpmXd5E0tFLUMdhkq7uXl8/+2wv6Yq6vI6kLw7geH+JS0RERMTKLj040egE4FbgmeXdkP7YXia/J2P7euD6+nET4GjggkGqr6/tJgMH1o/rAF8E/nlJjxsRERGxskqCM4RJ2hn4JjC6rjqZ8rB+KfB+YEPgHNvnSzoV6ACuljQXOMD2Q73UewWwOTAKeBQ4wvbMWryqpIuBbYAFwGFd9Ug6BTi4bncP8Dnbs/to/77AN4AXgBu7lXUCo23PlrQ5cB6wHjASOM/2xZI+XPfvshWwn+3/K+lQ4FjK38CLwDG2p0k6DNjH9ieA7wCbSpoCPFrX9dTOkcC/AbsDfwAeaShrrA9JXwf+DngeuAPY0/b2knanXIvt63HXqcd92fYukk4EPlnbO7e2d0pvsetPR0fHku7aVlaW81wRJNatM3P6472WjRw1ijG5FoMq93ZrJd6tM5RjnQRniJI0FvgJsK/tOyUNB9aqxWvY3lnSJsBUSRNsf13SUcAnbE/tp/rjbT9Xj3MmcAowvpZtDXze9sSaRFwKbC/pQ5TkZhfgJeAS4Mt1357avz7wA2CXmnj0OGRL0gjgSuBA249IGg1MlnSX7RupiVE9t8OBmyXtBgh4j+15tW0XAbt2q/44Xks6+vJpYFPg7cCqwCTgyR7a+hFgH0ryNwe4upf6jgMmd+ulutT2t2o9ewHfA3bqp129mjFjxpLu2jY6OjpWivNcESTWrdXX2Nz58+blWgyi3NutlXi3TjvFekkSsSQ4Q9fOwEO27wSwvRCYKQngqrruSUkzgY1o6HVowiGSDqT0lrwO+H1D2aO2J9bly4ALJK0F7AVcZXsWgKQLgH/t4xg7AffZnlY/XwCc3cN2bwW2BK6q5walZ2nLrnOS9EHgRGA323NrorEN8Ju6zzBgTJPn3pM9gEtsvwK8Iuly4N29bGfbf67t6krymrGdpH8ExgKvUs47IiIiIrpJgjN0DeujbG7D8kIGcB/U3o9jKD0rz0o6gDJPpZn2dHZb1/1z9+2bMQx4rrc5OZK2ofR2fND2sw37XGT7tCaP0Uwbmt2ur3PuUR0CdzWlx+k+SR2UoXARERER0U3eojZ03QlsVefhIGm4pP56KWYBa/ezzTqUOSvPSxoFHNGtfLOaBAEcADxYe21uAT4pabSkYcCRlBca9OYu4J2S3lI/H9nLdtOAlyV1ze1B0haS1pL0BuAa4GDbjb1MN1B6oTaq2w+XtF0PdTcTD4DbgIMljahvdjugl+1+AewnaQ1Jq/DafKSejrtGHX4HsBolCf3f+vnYJtoUERERsVJKgjNE2X4B2Bc4V9IDwL1ATw/xjb4NXFxfwbxVL9vcBDxGGf51E3Bft/IpwP6S7gU+DxxS23MTcDklcXmwbntmH+1/htIzdIOkOykvLOhpuwXARyjJ0wOSfgd8lzJ87khgHHB+PacpkvawPQk4Fbhe0v3AVOBjPVT/ADBN0tSu1z734gLgf4DfAT8FJva0UX2j2s3A/cDtlBc0vNjDdi8AVwAPSrqzJoinAfdImgT8uY+2RMQQN2LcBowcf3aP/xg7bnk3LyJiuRvW2TngETMRsYQkjbb9Uu3B+Q9ghu0vtbgZne0ysXBptNMEynaXWLdW4t06iXVrJd6t006xri8ZaHY6AJA5OBGtdml9e93qlF61/NZNRERExCBKghM9knQaZYhbdx+ow8fa6jiDQdJkFv+budv2Z5qtw/bHB7dVEREREdEoQ9QiVj4ZohaDKrFurcS7dRLr1kq8W6edYr0kQ9TykoGIiIiIiBgykuBERERERMSQkQQnIiIiIiKGjCQ4ERERERExZOQtahEREW3kpSceZfj0p3ouHDuOhWPWa22DIiJWMElwIiIi2siCZ59m/lmn9Fg2cvzZkAQnIlZyGaIWsRxI2l3SBxo+d0j6xfJsU0RERMRQkB6ciOVjd2BN4OcAtmcAeyzPBkVEREQMBfmhzxgUkj4MfKNh1VbAfsAWwMF13T3A52zPlvQVYHNgbeBNwGPAfrZf7uMYV9R9RgGPAkfYnilpd+BfgfuAbYAFwGG2H+qrrI/jnA7sD8wFOoE9bP9J0t7APwHDgWeBT9t+tB7jPOA3wM51n0/afljS5sAEYI263wTgZuAWSg/qDOCq+m+y7fVqG/4W+DowB/hxXR5dY/cu4Cxgrdrk02z/rLfz6UH+6CPa2Mz/+hWzv3pCj2Vrnn4eY3Z8d4tbFBGxzA3ohz7TgxODwvaNwI0Ako4CDgfmU5KbXYCXgEuALwNdg8e3B3YAXqQ89B8I/KCPwxxv+7l6jDNrPeNr2dbA521PlHQocGmtv7+yRUgaA5wErG97jqTRwBxJ6wOXAe+tidOngCuAd9Vd3wYcbvvTkk4FvlTP51jgRttf66q/JmXfA9a0fVJdv0lDG9YHLgB2sv3fkr7QULYO8D3gw7b/n6QNgXskvd32n/qI3SLa5deLl0Y7/Upzu0usW2v1Psrmz5uXazGIcm+3VuLdOu0U646OjgHvkzk4MagkfRA4EfgYsBdwle1ZtjspD+17NWx+s+0/1bLfAG/up/pDJN0r6UHgAGDbhrJHbU+sy5cB75C0VhNl3c0CpgGX10RtTdsLKInM/Q09PxcD29YECGCa7d/W5bsbzmUScISkr0l6H9BMErITcJ/t/66fL2oo2wXYFLhJ0hTgJkqPzGZN1BsREREx5CXBiUEjaRtK78JHbT9L6U7sPhyq8fPchuWF9NGjKGk34Bhgb9vvoPSQrDYY7W5keyElwfg2sBFwr6St6flcGvV4LravAXalDMEbT0mw+tPXsYYBD9jetuHfxrYnN1FvRERExJCXBCcGhaQ3ANcAB9v+fV19C/BJSaMlDQOOBG5dwkOsQxnK9rykUcAR3co3q0kQlN6dB23PaqKs+3mMBsbZnmj7dGAq8HbgLkqPzRZ100OB39p+qa9GS9oMeNr2BOCrwI61aBZl/lFP7ga2q/sCHNZQdifwFkl/eSGBpB1qfCMiIiJWepmDE4PlSGAccL6krnVfAC6nJAcAk4Ezl7D+m4CDgEeA6bWuHRvKpwD7SzqP0oNySJNl3a0NXCNpdcoXAPcB19qeK+lg4EpJIygvGTioiXYLOFDSfEqvzPF1/U+Ag+sws66XDABg+4+SPgP8TNJzwA3AK8DLtl+V9FHgm/V8RgKPAx8hLw+IWCmMGLdB+b2bnowd19rGRESsgPIWtWh79S1m59he7MUBfZWtyCSN7uodknQ48Cnbg/VqpM52mVi4NNppAmW7S6xbK/FuncS6tRLv1mmnWNeXDOQtahFDwOcl7Uf5G30BOGo5tyciIiKiLaQHJ1Yokk4D9u2h6AO2nxnE43T/3Z4u/1hfeT2UpQcnBlVi3VqJd+sk1q2VeLdOO8U6PTjR9myfAZzRguP85Xd7IiIiImLoyFvUIiIiIiJiyEiCExERERERQ0YSnIiIiIiIGDKS4ERERERExJCRlwxERES0kZeeeJTh059avGDsOBaOWa/1DYqIWMEkwYmIiGgjC559mvlnnbLY+pHjz4YkOBERK84QNUlfkXTOMqx/iqTV6/KTkt4+CHV2Slpz6Vu31O3YXdLkgZY1bDNB0mcHsT1fkTRysOprqLfP6yZpE0nPDfZxB9KGpah3W0m/lvSypKsHu/6IiIiIlcUKk+AsK5JGANje1vac5d2elcTpwKAnOEPcM8DfA19Y3g2JiIiIaGf9DlGTtAkw2fZ6jZ+B7ev/3wc+DKwBfMr2ryStD1wJvL5Wc6vtL0j6CrCm7ZNqXYt8Bt4o6Ubgr4BHgCNsvyjpY8CZwMLa5s/avkPSG4BvA2+p+//Q9j9JmgC8VNePA7aT1AmMtj27bnugpF2BDuA82+fXNm0OnAesR3lIP8/2xbVsX+AbwAs08SORkvas7V6ttvvrtq+qZXcA9wA71zbY9vgau583VPNG4JIavyuAzYFRwKM1PjPrdiMkfb/W1wl80vbD/bWxwTaSbgU2BiYBx9meL2kt4Fxg63oevwD+3vZCSacD+wNz6zH3AL5e67tT0qvA7pT743heS3pOsn1bjcOTwKXA+4ENgXMarsVuwHeBOcDd1F+xlbQKcD7wPmAeMNv2ro0nI2kUcBkwHTgReALYx/bUhuPuY3vqkrShlvV1r3QCpwIfB9YFTrZ9TW/Btz0DmCFpy+5l9e9kC2At4K3AvcBZwLcofyvX2j65t7p7Un8VeMhbWc5zRZBYt87M6Y/3uH7kqFGMyXUYdLm3Wyvxbp2hHOulnYOzLnCX7VMlHQicDewKHAg8ZXsvAEljmqxvN2Bb23+UdBHwZeAkyi/bH2v7l5KGA6+r218O3Gj7b+txGgcf7wy81/afeznW622/R9Lrgd9KmgQ8REnMDrT9iKTRwGRJd1GSmh8Au9ieJumLTZzPfcC7azLweuBeSTc3JCVvBN4DjAYek3Sh7f8Gtq3n807gGsrDPMDxtp+rZWcCpwDja9nbgMNtf1rSqcCXKNehWe8CdqEkKzcCR9fjngtMtH1kTSyuAI6ow6hOAta3PafGao7t4yQdW+M0u7b1Zkry2VmTgtuAjRqOvYbtnWvyPLUmqK8AV1GuxR2SBHyubr8NsBewhe1Xu99fksYC1wI/sf2vdV1/5z+gNtSewR7vFduP1Dpn2d6hJtKmXMsltR3lS4XZlPvqLOBDlL/hJyRdUO+dpsyYMWMpmtIeOjo6VorzXBEk1q21ei/r58+bl+swyHJvt1bi3TrtFOslScSWdojabNs/rct3A29uWP6ApG9K2ofyUNaMn9r+Y12+kPINPcDtwLcknQxsaXtWnfuyC/AvXTt3PfxXV/eR3HTVTz3ezyg9DW8FtgSukjQF+CWlt2RLYCfgPtvT6v4XNHE+44CrJU0FbgbGUnpguvzY9qu2XwQe5rX4IWlj4GrKA/RjdfUhku6V9CBwADURqqbZ/m1dbrwWzfqR7dm2FwCX8FrsPwqcXONxH+VB+63ALGAacLmkoyg9cQt6qfvNwM2Sfgf8CNhA0gYN5VcB2H4SmElJfjYHXrZ9Ry0z8GLd/nFgOHChpIO7HWs14FfAd7qSmyYNtA193SuL1Em5Hh2SVhtAe7q72faLthcCDwC32J5X7/FpDPx6R0RERAxJzfTgLGDRRKjxIW1ew3LX8DFs3yVpW8qQn4MpvQzv7qeu7oZRhj1Rh2e9g/LQ/WNJ5wI/7KfdzSZVjccaBjxne9vuG9RhcgP178D1wL619+L3LHrOcxuW/xK/Oizsp8Aptu+q63YDjqH0jDwr6QBKL0ufdS2hv8S+Lv+N7cXGREjaidJj9z5K79Teth/oob4fAifavq72Ar1M/3EYRi/qsMW3UZLSPYGzJf2fWjyfklB8VNK1NSGA/u+9AbWBPu6V7nXWHjxYumvSvX2Deb0jIiIihoxmenCeBlaVtFn9fEB/O0jalDI85yrKxOnt6oPtY13LdUjPPt12/WtJ4+ryYZT5Hkja3PaD9Rv5y4Ed6vCnO2mYlN1tiFp/Dqv7jKMM9bmD8k34y429ApK2qAnHXcA7JXXN9zmyiWOsAzxZk5v3A5v1t0Md+nQ1cJntxrdprUPpPXi+zi85oonjD8R+kl5Xj38QNfaUBG18HRqIpPUkbVqv3zjbE22fDkwFut4u9hKwdre2P1GXP0Xp6ejPI8Dqkt5Tj/uJrjrrNVvd9n9SkucXgTfV/V6tx5gF/EjSqnX9Y8AOdf89eW1+2BK1gb7vlYiIiIhYTvr91tf2AknHA7dIeorXHnz7sjtwoqSub80/U+dKXAMI+B1lkvy93fa7DbhI0psoD5An1vVn1cRiAfAnygMslAfx70g6lPIt9pWUeUDN+B9Jv6RMKv8n2w8CSPoIcF4dDjcc+CMg289IOhq4QdILlDkV/RkPfFfSeMqwop56N7rbldIrsb6kg+q6KyhD8Q6iPHRPp7zgYcfmTrUpk4DrKPOCJvHaELwTgH8G7q8T5+fVda8A16i8ensVyvC1a+s+3wJulzSHci+cAFwn6Q/AROD5/hpje56k/Snxm0MZpvg/tXhj4Ac1GRsB3ETptXlj3bcTOE7ltePXSfpbypykS+pwul831LVEbah/Fz3eK/3V25M69+dXlJd1rCZpOnC67QuXpL6IGLpGjNug/OZNd2PHLb4uImIlNKyzs7P/rSJiKOlsl4mFS6OdJlC2u8S6tRLv1kmsWyvxbp12inV9yUBf0wYWM+R/ByciIiIiIlYemZi8lLT479Z0udb2Ga1uT2/qSx8m9FB0vu3/aHFzVkrtcq9EREREtLMkOEvJ9jMs+rrmFZLtKbRBO4eydrlXIiIiItpZhqhFRERERMSQkQQnIiIiIiKGjCQ4ERERERExZCTBiYiIiIiIISMvGYiIiGgjLz3xKMOnP7V4wdhxLByzXusbFBGxgkmCExER0UYWPPs08886ZbH1I8efDUlwIiJWvCFqkr4i6ZxlWP8USavX5SclvX0Q6uyUtObSt26p27G7pMkDLWvYZoKkzw5ie74iaeRg1ddQb5/XTdImkp4b7OMOpA1LUe+2kn4t6WVJVw92/RERERFD3QqX4CwrkkYA2N7W9pzl3Z6VxOnAoCc4Q9wzwN8DX1jeDYmIiIhoR00PUZO0CTDZ9nqNn4Ht6//fBz4MrAF8yvav6i+3Xwm8vlZzq+0vSPoKsKbtk2pdi3wG3ijpRuCvgEeAI2y/KOljwJnAwtr2z9q+Q9IbgG8Db6n7/9D2P0maALxU148DtpPUCYy2Pbtue6CkXYEO4Dzb59c2bQ6cB6xHeUg/z/bFtWxf4BvAC8CNTcRuz9ru1Wq7v277qlp2B3APsHNtg22P7+FX798IXFLjdwWwOTAKeLTGZ2bdboSk79f6OoFP2n64vzY22EbSrcDGwCTgONvzJa0FnAtsXc/jF8Df214o6XRgf2BuPeYewNdrfXdKehXYnXJ/HM9rSc9Jtm+rcXgSuBR4P7AhcE7DtdgN+C4wB7gbGFbXrwKcD7wPmAfMtr1r48lIGgVcBkwHTgSeAPaxPbXhuPvYnrokbahlfd0rncCpwMeBdYGTbV/TW/BtzwBmSNqye5mkPwDvtP1M/fvotP3X9V75re039FZvdx0dHc1u2tZWlvNcESTWrTNz+uM9rh85ahRjch0GXe7t1kq8W2cox3qw5uCsC9xl+1RJBwJnA7sCBwJP2d4LQNKYJuvbDdjW9h8lXQR8GTgJOAM41vYvJQ0HXle3vxy40fbf1uM0DkLeGXiv7T/3cqzX236PpNcDv5U0CXiIkpgdaPsRSaOByZLuoiQ1PwB2sT1N0hebOJ/7gHfXZOD1wL2Sbm5ISt4IvAcYDTwm6ULb/0391XtJ7wSuoTzMAxxv+7ladiZwCjC+lr0NONz2pyWdCnyJch2a9S5gF0qyciNwdD3uucBE20fWxOIK4Ig6jOokYH3bc2qs5tg+TtKxNU6za1tvpiSfnTUpuA3YqOHYa9jeuSbPU2uC+gpwFeVa3CFJwOfq9tsAewFb2H61+/0laSxwLfAT2/9a1/V3/gNqQ+0Z7PFesf1IrXOW7R1qIm3KtVwSvwDeJ+kaYBNgmKRVgT2B2wdS0YwZM5awCe2jo6NjpTjPFUFi3Vqr97J+/rx5uQ6DLPd2ayXerdNOsV6SRGywhqjNtv3Tunw38OaG5Q9I+qakfYDZPe69uJ/a/mNdvpDyDT2Uh7hvSToZ2NL2rDr3ZRfgX7p27nr4r67uI7npqp96vJ9RehreCmwJXCVpCvBLSm/JlsBOwH22p9X9L2jifMYBV0uaCtwMjKX0wHT5se1Xbb8IPMxr8UPSxsDVlAfox+rqQyTdK+lB4ABqIlRNs/3butx4LZr1I9uzbS8ALuG12H8UOLnG4z5gO0qcZgHTgMslHUXpiVvQS91vBm6W9DvgR8AGkjZoKL8KwPaTwExK8rM58LLtO2qZgRfr9o8Dw4ELJR3c7VirAb8CvtOV3DRpoG3o615ZpE7K9eiQtNoA2tPodkpCtxPwm/rvXXXdbUtYZ0RERMSQMpAenAUsmhA1PqTNa1juGj6G7bskbUsZ8nMwpZfh3f3U1d0wyrAn6vCsd1Aeun8s6Vzgh/20u9mkqvFYw4DnbG/bfYM6TG6g/h24Hti39l78nkXPeW7D8l/iV4eF/RQ4xfZddd1uwDGUnpFnJR1A6WXps64l9JfY1+W/sb3Y2AhJO1F67N5H6Z3a2/YDPdT3Q+BE29fVXqCX6T8Ow+hFHbb4NkpSuidwtqT/U4vnUxKKj0q61vbCur6/e29AbaCPe6V7nbUHD5b8mtxG6c2cXpeHUc57T+CrS1hnRERExJAykB6cp4FVJW1WPx/Q3w6SNqUMz7mKMnF6u/pg+1jXch3Ss0+3Xf9a0ri6fBhlaA6SNrf9YP1G/nJghzr86U4aJmV3G6LWn8PqPuOADwF3UHokXm7sFZC0RU047gLeKalrvs+RTRxjHeDJmty8H9isvx3q0KergctsN75Nax1K78HzdX7JEU0cfyD2k/S6evyDqLGnJGjj69BAJK0nadN6/cbZnmj7dGAq0PV2sZeAtbu1/Ym6/ClKT0d/HgFWl/SeetxPdNVZr9nqtv+Tkjy/CLyp7vdqPcYs4Ed1KBeUe2+Huv+evDY/bInaQN/3yqCy/RQl6TqUkuDcSrl/X7H9P4N9vIiIiIh21PQ3ybYXSDoeuEXSU7z24NuX3YETJXV9a/6ZOlfiGkDA7yiT5O/ttt9twEWS3kR5gDyxrj+rJhYLgD9RHmChPIh/R9KhlAfAKynzgJrxP5J+SZlU/k+2HwSQ9BHgvDocbjjwR0B1gvfRwA2SXqDMqejPeOC7ksYDD9R//dmV8s38+pIOquuuoAzFO4jy0D2d8oKHHZs71aZMAq6jzAuaxGtD8E4A/hm4v06cn1fXvQJco/Lq7VUow9eurft8C7hd0hzKvXACcF2dLD8ReL6/xtieJ2l/SvzmUIZpdT3Mbwz8oCZjI4CbKL02b6z7dgLHqbx2/DpJf0uZk3RJHU7364a6lqgN9e+ix3ulv3p7Uuf+/Iryso7VJE0HTrd9Yd3kNsp8rv9Xt59DGRYXESuJEeM2KL95093YcYuvi4hYCQ3r7Ozsf6uIGEo622Vi4dJopwmU7S6xbq3Eu3US69ZKvFunnWJdXzLQ13SBxaw0v4MTERERERFD32C9Jnqlp8V/t6bLtbbPaHV7elNf+jChh6Lzbf9Hi5uzUmqXeyUiIiKiHSXBGSS2n2HR1zWvkGxPoQ3aOZS1y70SERER0Y4yRC0iIiIiIoaMJDgRERERETFkJMGJiIiIiIghIwlOREREREQMGXnJQERERBt56YlHGT79qcULxo5j4Zj1Wt+giIgVTBKciIiINrLg2aeZf9Ypi60fOf5sSIITEZEhahHLgqQT6u/dLOn+u0uaPJhtioiIiFgZJMGJWDZOAJY4wYmIiIiIJZMhahFNkLQz8E1gdF11MnABcCnwfmBD4Bzb50s6FegArpY0FzjA9kO91HsFsDkwCngUOML2zFq8qqSLgW2ABcBhXfVIOgU4uG53D/A527ObPZ+Ojo5mN21rK8t5rggS69aZOf3xHtePHDWKMbkOgy73dmsl3q0zlGOdBCeiH5LGAj8B9rV9p6ThwFq1eA3bO0vaBJgqaYLtr0s6CviE7an9VH+87efqcc4ETgHG17Ktgc/bnijpUEoytb2kD1GSm12Al4BLgC/XfZsyY8aMZjdtWx0dHSvFea4IEuvWWr2X9fPnzct1GGS5t1sr8W6ddor1kiRiGaIW0b+dgYds3wlge2FDL8tVdd2TwExgowHWfYikeyU9CBwAbNtQ9qjtiXX5MuAdktYC9gKusj3LdielJ2mvJTiviIiIiCEnCU5E/4b1UTa3YXkhA+gVlbQbcAywt+13AF8CVmuyPZ3d1nX/HBEREbFSSoIT0b87ga3qPBwkDZc0pp99ZgFr97PNOsCLwPOSRgFHdCvfrCZBUHp3HrQ9C7gF+KSk0ZKGAUcCtzZ/OhERERFDV+bgRPTD9guS9gXOlfQ64FXgpH52+zZwsaSX6f0lAzcBBwGPANOBycCODeVTgP0lnUfpHTqktucmSVsDd9XtJgNnLtHJRUTbGTFug/KbN92NHdf6xkRErICGdXZmZEvESqazXSYWLo12mkDZ7hLr1kq8Wyexbq3Eu3XaKdb1JQN9TRdYTIaoRURERETEkJEhahHLmKTTgH17KPqA7Wda3Z6IiIiIoSwJTsQyZvsM4Izl3Y6IiIiIlUGGqEVERERExJCRBCciIiIiIoaMJDgRERERETFkJMGJiIiIiIghIy8ZiIiIaCMvPfEow6c/tXjB2HEsHLNe6xsUEbGCSYITERHRRhY8+zTzzzplsfUjx58NSXAiIjJELdqHpBMkrb8U++8uafJgtqlb/Z2S1qzLUyStvgyO8VFJ36zLm0g6erCPEREREdHO0oMT7eQE4FZghf9xTNvbLqN6rweurx83AY4GLlgWx4qIiIhoR0lwYrmRtDPwTWB0XXUy5WH9UuBFW8fzAAAgAElEQVT9wIbAObbPl3Qq0AFcLWkucIDth3qp9wpgc2AU8ChwhO2ZtXhVSRcD2wALgMO66pF0CnBw3e4e4HO2Z/fR/n2BbwAvADd2K+sERtueLWlz4DxgPWAkcJ7tiyV9uO7fZStgP9v/V9KhwLGUv9EXgWNsT5N0GLCP7U8A3wE2lTQFeLSua0pHR0ezm7a1leU8VwSJdevMnP54j+tHjhrFmFyHQZd7u7US79YZyrFOghPLhaSxwE+AfW3fKWk4sFYtXsP2zpI2AaZKmmD765KOAj5he2o/1R9v+7l6nDOBU4DxtWxr4PO2J9Yk4lJge0kfoiQ3uwAvAZcAX6779tT+9YEfALvUxOOLvWw3ArgSOND2I5JGA5Ml3WX7RmpiVM/tcOBmSbsBAt5je15t20XArt2qP46SAG7fTzwWM2PGjIHu0nY6OjpWivNcESTWrdXb2Nf58+blOgyy3NutlXi3TjvFekkSsczBieVlZ+Ah23cC2F7Y0MtyVV33JDAT2GiAdR8i6V5JDwIHAI3DxR61PbEuXwa8Q9JawF7AVbZn2e6k9CTt1ccxdgLusz2tfu5tmNhbgS2Bq2pPyy8pPUtbdm0g6YPAicDHbM8FPkLpYfpN3ecsYOMmzz0iIiJipZYenFhehvVRNrdheSEDuE9r78cxlJ6VZyUdQJmn0kx7Orut6/65+/bNGAY819ucHEnbAN8DPmj72YZ9LrJ9WpPHiIiIiIgqPTixvNwJbFXn4SBpuKQx/ewzC1i7n23WocxZeV7SKOCIbuWb1SQISu/Og7ZnAbcAn5Q0WtIw4EjKCw16cxfwTklvqZ+P7GW7acDLkrrm9iBpC0lrSXoDcA1wsO3fN+xzA6UXaqO6/XBJ2/VQdzPxiIiIiFippAcnlgvbL9RJ+udKeh3wKnBSP7t9G7hY0sv0/pKBm4CDgEeA6cBkYMeG8inA/pLOo/QOHVLbc5OkrSmJC3W/M/to/zP1Fc03SHoBcC/bLZD0EeA8SScDw4E/UubYHAmMA86X1LXLF2z/or5U4fo6N2kk8GPg3m7VPwBMkzQVeGQgLxmIiPY1YtwG5Tdvuhs7rvWNiYhYAQ3r7OxrFE5EDEGd7TKxcGm00wTKdpdYt1bi3TqJdWsl3q3TTrGuLxlodmoAkCFqERERERExhGSIWrQlSacB+/ZQ9AHbg/ZDoK06TkREREQMjiQ40ZZsnwGcMVSOExERERGDI0PUIiIiIiJiyEiCExERERERQ0YSnIiIiIiIGDKS4ERERERExJCRlwxERES0kZeeeJTh059adOXYcSwcs97yaVBExAomCU5EREQbWfDs08w/65RF1o0cfzYkwYmIADJELVpIUqekNZd3OxpJ+oqkc+ryRyV9s5/td5f0gda0LiIiIiIGKj04sVKQNML2gu7rGj/bvh64vp+qdgfWBH4+qA2MiIiIiEGRBCcGlaRO4FTg48C6wMm2r2ly312A8yk9i6sCZ9r+oaQJwCvApsDGwCTgONvzJa0FnAtsDawG/AL4e9sLJd0B3Am8C5gr6Thgcj3GXsDl3Y5/GLCP7U9I2hyYAKwBDK/LNwOfAVaRtBdwle2zJH24nvNqwHzgC7bv7uM8Twf2B+YCncAewDrAZNvr1W026frctQz8ANgbWB04sLblXcAc4GO2n24mzgAdHR3NbtrWVpbzXBEk1q0zc/rji60bOWoUY3INlonc262VeLfOUI51EpxYFmbZ3kHSroCBphIc4BTgX2xfJmkYsHZD2buAXShJwY3A0ZRE5Vxgou0jJa0CXAEcQUkGAN4OfND2gpoorAs8bPsrUIao9dKWY4EbbX+tbjfG9kxJ3wPWtH1SXf9m4Mv1GLMkvQ24CXhjT5VKGgOcBKxve46k0ZQEZZ1+YrMu8Cvb/yDpZOA2YHfbR0n6LvBZ4Ev91PEXM2bMaHbTttXR0bFSnOeKILFurdV7WDd/3rxcg2Ug93ZrJd6t006xXpJELHNwYlm4qv5/N9AhabUm9/sF8A+SvgTsaPtPDWU/sj27DjO7BHhfXf9R4GRJU4D7gO2Atzbsd2W3oWlzKUlXfyYBR0j6mqT3AX/qZbsPAm8GJtU2XAGMkPT6XrafBUwDLpd0FCVZWtDLto1m2/5ZXb4PmG57Sv18L7BZE3VEREREDHnpwYllYS5AHSYGTd5nts+TdANl+Ni/Sfq57Z56JYZRhnZ1Lf+N7cXHbBSzu33+s+3OHrdctC3XSLoL+AAwntIrdFAvbflP24f0V2etd6GknYBdKUnavZL2Bl5g0S8cuieF8xqWF1Jj3PA5f8sRERERpAcnViCS3mr7MdvfB/4V2LGheD9Jr6svBjiI0tsD5aUA4yUNr3WsJ2nTQWjLZsDTticAX21oyywWHTr3c2DvOjSta98d+qh3NDDO9kTbpwNTKcPongZWrccFOGBpzyEiIiJiZZRvfWNF8nlJe1Am6s8DPtdQNgm4jjK3ZRJwQV1/AvDPwP31BQfz6ronlrItAg6UNJ/SW3R8Xf8T4OA6HK3rJQMHARdKWh0YCfwauKeXetcGrqnbrkIZbnZtnSN0PHCLpKd4LYGLiFjEiHEblN+9aTR23PJpTETECmhYZ2e/o3Uilqv6FrXJts9f3m0ZIjrbZWLh0minCZTtLrFurcS7dRLr1kq8W6edYl1fMjBsIPtkiFpERERERAwZGaIWLSdpMovfe3fb/kxP29s+bJk3apDV38b5Rg9F/2j7xla3JyIiImJlkQQnWs729su7DctaTWKSyERERES0WIaoRURERETEkJEEJyIiIiIihowkOBERERERMWQkwYmIiIiIiCEjLxmIiIhoIy898SjDpz+16Mqx41g4Zr3l06CIiBVMEpyIiIg2suDZp5l/1imLrBs5/mxIghMRASTBGXSSTgCutP3M8m7LYJI0AZhs+/zG5eXbKpC0DnC07X9ucvuvAN+wPX8Jj7cucBnwZmAe8CjwadvPDqCOCayAsYyIiIgYCjIHZ/CdAKy/vBuxElkH+OIAtj8dGLkUx+sE/tn25ra3Bh4DzlqK+iIiIiJiEKUHpx+Sdga+CYyuq04GLgAuBd4PbAicU7+NPxXoAK6WNBc4wPZDPdS5CeVb+/W6f+5aBn4A7A2sDhwIfAZ4FzAH+JjtpyXdBXze9j2Svgu81/bbJI0Angb+CngT8F3gdcBqwAW2z6vHnQDMBd4KbAzcBRxqu1PSG+o5rgc8QS/3SvceiB56J/qrfwNKkjAMuLnudzTwBUoPySqAgN8D5wPvq+tn294V+A6wjqQpwMu2d5F0IvDJ2ua5wDG2p0j6Tm32nZJeBXYHrqvX76e1/Xd0fZZ0OrB/raMT2MP2C8AdDSG4Gzimp9g0xKjZWO4BfBvY3/ZUSYcCx9btX6znMU3SVOBw2/fU/f4e2ML20X21o1FHR0ezm7a1leU8VwSJdevMnP74YutGjhrFmFyDZSL3dmsl3q0zlGOdBKcPksYCPwH2tX2npOHAWrV4Dds714RkqqQJtr8u6SjgE7anLsWh1wV+ZfsfJJ0M3Absbvuomsh8FvhSXb8ncA/wbmCOpA2BTYCHbf9Z0pPAXrbnSVoT+C9JN9t+uB7r7cBewKvAb+vyLZQH7Um2vyrpTcD9wH8uwbn0Vf8vbJ8p6a+AB4Gb6z7fBN5u+38ljQKGA9vUfbew/aqkMXXb4ygJ1bYNx7zU9rcAJO0FfA/YyfZxko4FdrE9u5b32Oha/0nA+rbnSBpNSS4bt1mFktxc308M+o2lpAMpvX972/6DpN0oid176rX7EHARsCsl0TsWOFzSsNqGT/TThkXMmDFjIJu3pY6OjpXiPFcEiXVrrd7Duvnz5uUaLAO5t1sr8W6ddor1kiRiGaLWt52Bh2zfCWB7oe2Zteyquu5JYCaw0SAed7btn9Xl+4DptqfUz/cCm9Xl24G9JG0MPA/8lJLw7EVJfgDWAC6U9CDwa0oP0zYNx7rO9tw6J+U+ytwSgD2A/6jn+HhDfQPVV/0X1/qf6lb/7cDFkj4HvMH2y8DjlETnQkkH93PM7SRNqj0d5wLb9rN9T2YB04DLa9K6pu0F3bb5N2A2JeHoS3+xPJySpOxp+w913Uco1+k3tXfqLEovGJTeoA/WBPyDwB9t3z/A84uIiIgYkpLg9G1YH2VzG5YXMrDesAUsGvvVupXP61Z3b8f6NfB/gL+mPDR39ejsSUkSAL5BGa72TtvbAP/V7XhLcx7NnEtf9Xf2Uue+wD9ShtX9QtKHbL8IvA34EbA18DtJG3TfUdJI4GrgBNtvpwzzGzXQ9tteCOxE6X3ZCLhX0tYNxzkHeAvwd7Zf7aP+ZtxPGaq3VcO6YcBFtret/7ax/cbatpeBKymJ0XGUYXoRERERQRKc/twJbFXn4SBpeMPQqN7MAtbuZ5ungVUldfXEHLAkjbM9j9IrMh64lTIfZFdKAnB33Wwd4H9tL5D0dmC3Jqu/nfIAjaRNKUlTTx4DdqjbbUjprWjGHcBhdb+NKXNrqPOH3mT7v2yfBfwceKekccDqtv+znu+LlPlFs4A16n5QEpQRwP/Wz8d2O+5LLHp9Gtu/FbW3pw5JG2d7ou3TgamU4XZI+jqwHfA39Rr0p79Y3gd8nNJb9N667gbgEEkb1f2GS9quYZ/vUIa0bQdc00QbIiIiIlYKSXD6UCeU7wucK+kByvCw7frei29ThldNqQ/MPdW7ADgeuKVOal+4FM28DRhDmYfyCuW1xfc0vAb5TOAoSfdQ5u1MarLe44E9JN0PnE2ZN9OTC4CN6nbfBn4zgPrfX/c7h9Ib9SJlGNoESQ/Wsg2B71OGZ91a1z0A3ATcXa/RFcCDku60PQs4DbhH0iTgz92O+y3g9np91qnn9mFJkylzbn5bt1sbuE7SA3Wo29PAtZLeRuld6qC8rGCKpJ80ca59xtL2g8A+wH9I+qDtScCpwPV1v6nAxxq2fwJ4hNLLs0SvvI6I9jRi3AaMHH/2Iv8YO255NysiYoUxrLOzt1FCEcuOpNWBV2rP0oaUFyXsaXvacm5aW5C0FiXB2dH29AHu3tkuEwuXRjtNoGx3iXVrJd6tk1i3VuLdOu0U6/qSgb6mjSwmPTixvLwFmFx7J24DvprkpjmSPgM8BHxrCZKbiIiIiCEtr4lehiSdRhni1t0HbD/T6vasSGw/wJK93WyFJGlbYEIPRefb/o/BPJbt71FefR0RERER3STBWYZsnwGcsbzbEctefY33kEnYIiIiItpVhqhFRERERMSQkQQnIiIiIiKGjCQ4ERERERExZCTBiYiIiIiIISMvGYiIiGgjLz3xKMOnP7XoyrHjWDhmveXToIiIFUwSnIiIiDay4NmnmX/WKYusGzn+bEiCExEBZIjaEpP0FUnnLO92AEi6Q9I+Ay2r5ZtIem4Q27K7pA8MVn0N9R4m6ep+tpkg6bODfeyBtGEp6j5H0hOSOiW9fVkcIyIiImJlkAQnBtvuwKAnOCuB64D3AE/1t2FERERE9K4thqhJ2hv4J2A48CzwaWAj4F+B+4BtgAXAYbYfqvscChxLOccXgWNsT5N0GHAAMBN4O/An4G9tP133+yLwibrfH4CjbD8taW3gQmAr4H9qO/7YT7uvADYHRgGPAkfYnilpd+A84DfAzkAn8EnbD0s6Ddi3VjES2BJYB9geOBNYrbbt67avajjceyWNBzoA2x7fVHBfa+s5lAfs1YFjbf+yrv8wcGo97nzgC7bvlrQ5MAFYg3JdJgA3A58BVpG0F3AVcA7wM2DdWvd/AZ+2Pb+vayFpJPBvlITpD8AjDW3dBTifkqCvCpxp+4fdzmcP4NvA/jV2+9j+RC07rOvzkrah1tPbvfIVynVfG3gT8Biwn+2Xe4u/7V/VOhcrk9QJfAn4mxrHo4C9gL3r+e9n++He6u5JR0fHQDZvWyvLea4IEuvWmTn98cXWjRw1ijG5BstE7u3WSrxbZyjHeoVPcCStD1wGvNf2Q5I+BVwBnAJsDXze9sSa0FwKbC9pN0DAe2zPk/Qh4CJg11rtDsDWtv9X0g+AzwGnSjoI2AzYyfarko4BvgUcCJwGzLK9laT1KImV+2n+8bafq+dxZm1zV+LxNuBw25+WdCrlAfZA22cAZ9R9LgNutv2ipPuAd9teKOn1wL2SbrY9s9b3RkqCMhp4TNKFtv+7yTCvCzxg+yRJ7wV+KOnNlCTyy8AHbc+S9DbgpnqsY4EbbX+ttnVMTd6+B6xp+6S6fhhwgO3n6/IlwBHA9/q6FpQkdlNK0rEqMAl4su5zCvAvti+rda7deDKSDgROAPa2/QdJ2/dz/gNuQz/3CpSkagdKcn1zXf+DftrRlz/Z3kHSfsD/Bf7O9j/UJOtU4KCBVDZjxoylaEp76OjoWCnOc0WQWLfW6j2smz9vXq7BMpB7u7US79Zpp1gvSSK2wic4wLuA+7t6ZoCLge9SHuQftT2xrr8MuEDSWsBHKL06v6nfiA8DxjTU+Wvb/1uX7wbeX5c/Snkwva/u19X7A7AH5cEX289JuraJth9SH7ZHAq8Dft9QNs32bxva8JHGHSV9DVgTOLSuGgdcJOktlN6qsZRegrtr+Y9tvwq8KOlh4M1AswnOfODyem4TJc2pdb+71jOpoWdhRE2wJgHn1F6OX9R/PVkFOKkmmcMp16GxJ6O3a7EHcIntV4BXJF1e20M91j9I+ivgFtu/aajvcGAOsKftWU2e/5K0oa97BUpi+icASb+hxHFp/Kj+fx/Qaftn9fO9vNbjFxEREbHSa4cEZxhlCNdA97nI9mm9lM9tWF7Ia3EYRhnudFEvdTat9iIdA+xi+1lJBwBHN9EGJB1OecjeoyYtAP8OXA/sa7tT0u8pw8b6rW8JdMV8GPCftg/pYZtrJN1FmW8zntIr01MvwgGUpGA32y9J+kfgrU20u9d42z5P0g2UYVr/Junntr9Ui++n9GRtxWvJ3wIWnW/WGLclagN93ys91dnTl64D0VXfQmBet7rb4e84IiIioiXa4SUDdwHbStqifj4U+C3wErBZTSSgPEg/WL+1v4HSe7IRgKThkrZr4ljXA8dKGlP3GyVpm1p2G6V3AEnrAh/vp651KN/oPy9pFCUB6FeduzIe+KjtOd3qe7ImN++nDI8aLCMp8etKzFYDpgE/B/auQ9O62rdD/X8z4GnbE4CvAjvWTWax6JCxdYDnanKzdtdxmnAbcLCkEZJWb9xP0lttP2b7+5R5WDs27Hcf5dpcXofbQZkDs3W9niMp82aWqg30fa9ERERExHKywn/zW3s/DgaulDSCMrn/IMr8kCnA/pLOo3yTfUjdZ1Kd13K9pOGUB/gfU4bz9HWsy+r8mol12NEqlOFw9wNfowwRe4gyD+Pn/TT9ptrOR4DpwGQWfRDvzamUoWk/bxgWthsl6flufZHAA/XfYHkeeEsdSrUGsL/t+cB/17kmF9YH/JHAr4F7KHOcDpQ0n9Lbc3yt6yeUpGAK5SUD/w58TNLvKBPxf0lzvRkXUOZY/Y4Sv4mU+TAAn68vEZhP6c34XOOOth9UeTX2DZI+a/tmSbcCU4EngIeBDZemDf+fvTuPsqsq0z/+DYkJU4DERLAQGlqUQcT4E2QSDBAGkcFGeUQCEjC0iiMKknYCkVZoENGmbQUREBl8GKTpiCLz0IlKgABhUsLQHSMSJJJESGKS+v1xdsWbooZbGW7VrXo+a7E4wz577/Oem7XuW3vvc7v5rPSYpO9STTXbBLhF0p9tv6WbyyJiABoyepPqd29qjRzdO52JiOiDBrW29nT2V9+g6k1k59jubgF5RKyotVkWFq6KZlpA2ewS68ZKvBsnsW6sxLtxminW5SUDPVoq0gxT1CIiIiIiIurS56eodcb2HVRvsepVWvF3a2rtZ/v5RvenM+X1zbu0O7wkI2CN0yyflYiIiIhm1rRT1CJipWWKWqxWiXVjJd6Nk1g3VuLdOM0U60xRi4iIiIiIAS0JTkRERERE9BtJcCIiIiIiot9IghMREREREf1G075FLSIiYiCa//STDJ717IoHR45m6YhRvdOhiIg+JglOREREE1ky5zkWn3nKCseGTjoLkuBERACZohbRayT9UNIevd2PiIiIiP4kIzgRPSBpiO0lq6Mu2xNXRz0RERER8XdJcKLPk3Qg8I2aQ9sBhwPbAEeXY/cCn7K9QNJpwNbAhsA/AjOBw22/3EUbrcDXgP2A1wJftH1tzbkvAO8F7ga+IukLwAeo/g39ATje9nOl7W2ADYA3A/cBZwLfAv4BuM72yaXeO4BzbE+u3e7k3H3AO4EtgO+UNj8FtAAn27663njC8h/N6vcGyn32BYl148yd9dSrjg0dNowReQZrRD7bjZV4N05/jnUSnOjzbN8I3Agg6XjgWGAxVXKzGzAfuBT4CtA2MX1HYCfgJeAmYDxwYTdNLbO9m6StgSmS7rb9fDm3lu2xpQ9HAVsBu9heJunjVAnM+FL2HaX9BcD9VAnOe6j+vT0t6QLbv+9hGN4AvBvYBHgS+Hbp6zuB64AeJTjN8uvFq6KZfqW52SXWjbVOB8cWL1qUZ7AG5LPdWIl34zRTrFcmEcsanGgakvYHPg8cCowDrrI9z3YrcEE51uYm238p534DvLGOJi4CsP0EVWKyS825S2u2Dylt3S9pOvAJqpGV2rZfsr0UeAi42fYi238FnqizL+1dbXuZ7dnAn4GfleP3AZtKWnsl6oyIiIjodzKCE01B0tuA7wP7254jaRDQ2q5Y7f7Cmu2ldPxHz660r39Bu3Nn2P5RJ9e2b7v9fkf/7paw4h8c2icsHdZpe6kkOqkzIiIiYsDJCE70eZI2Ba4Fjrb9u3L4ZuAIScNLsjMRuGUVmzq2tPcmYAzVyE9HbgBOkDSilB9WErBVMZNqSh2StivtR0REREQP5a++0QwmAqOB88toBcCJwE+AqWV/GnDGKrazSNL/AKOAj9asv1mB7cskjQLuLP1ZC/ge8OAqtH0WcLWk91BNa3tgFeqKiH5syOhNqt+9qTVydO90JiKiDxrU2tp+lk/EwFPelDbc9oJuCze/1mZZWLgqmmkBZbNLrBsr8W6cxLqxEu/GaaZYl5cMDOrJNZmiFhERERER/UamqMWAIemrwGEdnNrPdo/+MhARERERfVMSnBgwbJ8OnN7b/YiIiIiINSdT1CIiIiIiot9IghMREREREf1GEpyIiIiIiOg3kuBERERERES/kZcMRERENJH5Tz/J4FnPrnhw5GiWjhjVOx2KiOhjkuBEREQ0kSVznmPxmaescGzopLMgCU5EBJApahF9kqQfStqjbL9P0jt7u08RERERzSAjOBF9kO2JNbvvA6YBv+2l7kREREQ0jUGtra293YcYYCQdCHyj5tB2wOHANsDR5di9wKdsL5B0GrA1sCHwj8BM4HDbL3fRxq7A2cDwcuhk27+StBPwXWA94K/Ap23fK2kLqiTiQuAAYB1gPPAxYGfgFeBQ289JmgAcCfwF2AH4A/Cp0t6bSt+Pst0q6Q7gHNuTS7+W75fte4FdgRbAtifVlgP+BlwJvAy8AJwLHAH8yPY1pexhwMds79dF2GvlH31EE5v723tY8LXPrnBs/VPPY8Q739VLPYqIWOMG9aRwRnCi4WzfCNwIIOl44FhgMVVysxswH7gU+ArQNtF8R2An4CXgJqrk48KO6pc0EvgZcJjtKZIGAxtIGgpcCxxn+xZJ+wDXStqqXPpa4B7b/yLpZOBWYKzt4yV9D/gk8OVSdifgrbZnSZoMXAG8myppuh/YB7iljnBsDuxJlYjNlHSR7d/XxOomSTcA02yfX+7v+RKXa0qxT1AlbXWbPXt2T4o3pZaWlgFxn31BYt1Y63RwbPGiRXkGa0A+242VeDdOM8W6paWlx9dkDU70Gkn7A58HDgXGAVfZnme7FbigHGtzk+2/lHO/Ad7YRdW7Ao/angJge6ntuVSjQItt31KO30qVWG1drltg++dl+35glu3pZf8+oC0RAvgf27PK9gNUidFLtpcAD7Yr25WrbS+z/RLwWDf31eYmYBNJ20raplwzuc72IiIiIvq1JDjRKyS9Dfg+cIjtOVRDj+2nTtXuL6zZXkrXo4+dDWN21EZtO4vatdFVm+3PdVZ2CSv+O1u7Xds9uS8ASpL3H8AJVKM3P7C9tLvrIiIiIgaCJDjRcJI2pZoqdrTt35XDNwNHSBouaRAwkfqmeHVkCrBdWYeDpMGSRgCPA8Mk7VWO7wW8BvhdpzWtuplU09mQtB0wZiXqmEe1/qjWpVQvH/gg8MNV6WBEREREf5I1ONEbJgKjgfMltR07EfgJMLXsTwPOWJnKbb9YFt6fK2k9YBlwUll3837gu+X4X4EP2F5c04/V7SzgaknvAR6ims7WU5cBl0g6HDjX9o9tz5f0S2CdMgIWEQPEkNGbVL97U2vk6N7pTEREH5S3qEU0IUlDqBKmY2zf28PLW5tlYeGqaKYFlM0usW6sxLtxEuvGSrwbp5liXV4y0KO3qGWKWkSTkXQI1dS3X61EchMRERHRr2WKWjQtSV8FDuvg1H62n290fxrF9g3ADb3dj4iIiIi+KAlONC3bpwOn93Y/IiIiIqLvyBS1iIiIiIjoN5LgREREREREv5EEJyIiIiIi+o0kOBERERER0W/kJQMRERFNZP7TTzJ41rN/PzByNEtHjOq9DkVE9DFJcCIiIprIkjnPsfjMU5bvD510FiTBiYhYrt9OUZN0mqRz1mD90yWtU7afkbT9aqizVdL6q967Ve7HWEnTenpuTau3bUkTJF3TybnTJA1d/b1bdZL2ljRN0iPlv7f1dp8iIiIimk2/TXDWFElDAGyPsf1Kb/enmbXFssFOBfpcgiNpU+AiYLzttwA7Ak/3bq8iIiIimk/Dv2BK2gKYZntU7T7VF7ppwA+AA4F1gY/YvkfS64ArgI1LNbfYPr/I/cgAACAASURBVFHSacD6tk8qda2wD2wu6UbgH4DHgeNsvyTpUOAMYClVDD5p+47yJfO7wJvK9Vfa/qakS4D55fho4B2SWoHhtheUsuMl7Q60AOfZPr/0aWvgPGAU1Rfr82xfXM4dBnwDeBG4sY7Y7VP6vXbp97/avqqcuwO4F9i19MG2J5XY/aqmms2BS0v8Lge2BoYBT5b4zC3lhkj6QamvFTjC9mPd9bH05RLgb8CWwGbAXcAnbC/uJJYHAN8EBgNzgI/afrLUdQZwBPAH4Lc1bUwADrL9gY72a8ptBvwM+Dfg3eXwFEnLgLFUz2Yh8ObS16nAMbZbJW0AnAvsUGJ+O/A5YCvgOttvKUnan4EzbJ8tScD7bB8p6VTgQ6X+VmAv23/pJGwnAJfZfgKgJM+vlHs4DdgG2KD08z7gTOBbVJ/t62yf3Em9HWppaelJ8aY1UO6zL0isG2furKdW2B86bBgjEv81Jp/txkq8G6c/x7qvrcF5LTDV9pckjQfOAnYHxgPP2h4HIGlEnfXtAYyx/SdJPwK+ApwEnA6cYPtuSYOB9Ur5nwA32n5/aad2UvOuwLtt/7WTtja2vaekjYEHJN0FPEqVmI23/bik4cA0SVOpkpoLgd1sPyHpC3Xcz/3Au2wvLe3cJ+mmmqRkc2BPYDgwU9JFtn8PjCn383bgWuD8Uv4ztl8o584ATgEmlXNvAY61/VFJXwK+TPUc6rUzsBvVl/sbgX+uaXd5LEsCdlnZf1TSR4DLgZ0lHQwcUvr/CnB9D9qnTPG6nOpZ3wVY0glUMV9QygBsD4wDlgEPlO2bqZKbO21PlLRWqes42xdK2kDS64EtgEeAfYCzy/9vLZ/Rk4DX2X6lPPuuRvy2A56RdBswgiqZ+hfbi8r5d1D9EWAB1efgTOA9VP+Gn5Z0QXnWdZk9e3a9RZtWS0vLgLjPviCxbqx12u0vXrQo8V9D8tlurMS7cZop1iuTiPW1KWoLbE8u278G3lizvZ+ksyUdRPUlrx6Tbf+pbF8E7F22bwO+JelkYFvb88ral92Ab7dd3Pblv7imi+SmrX5Kez+nGh14M7AtcJWk6cDdVKMl2wK7APe3/cUeuKCO+xkNXCNpBnATMJJqBKbN1baX2X4JeIy/x69tJOMaqmRrZjn8YUn3SXoYOJKSCBVP2H6gbNc+i3r91PYC20uAS/l77GHFWO4MPGj70bJ/MTCmJAR71dSzlBLjOu0AXAccXpKbrlxve6HtxVTJQ9u9HgKcXJ7d/VRJxpvLudupkplxVKOOm5W1PeOoPl/zgCeAn0g6nmpkcUkXfRhClcz/E1VMNqdKONvcZPulEoeHgJttLypxfIKeP5+IiIiIfqk3RnCWsGJitXbN9qKa7bbpY9ieKmkMsC9wNNUow7u6qau9QVTThCjTs95K9aX7aknnAld20+96k6ratgYBL9ge075AmSbXU/8J3AAcVqZQ/Y4V73lhzfby+JWpVpOBU2xPLcf2AD5ONZoxR9KRVKMsXda1kpbHvljQxbn213Wmu2c/i2okayxVsteVzu51ENV0s6defQm3UiU4WwJHUY2cfQjA9tMAknahSlr2phptO8D2Q5304Vng3pKcIsnAh7vo4+p8PhERERH9Rm+M4DwHvEbSVmX/yO4ukLQlMK+sN/kc1bqNtYCZbdvlL/4Htbv0vZJGl+0JVH91R9LWth+2/R2qaWk7lSlLU4ATa9rtyXs3J5RrRlNNHbqD6i/rL0s6uqbObUrCMRV4u6S29T4T62hjI+CZktzsS7UWpEtljcg1VOs7at8sthHwEvBnScOA4+povycOl7Reaf8oSuw7MJVqxGabsn8M8IDt+VRJhEo9g4Fja66bCewgaVgZOVlh7Q3VFMBxwNGSPl9zfD6wYZ33cAMwqbSNpFHls0jp2/7ACNuzgFuAr1GN3lA+j6Nt32n7VGAG1VS4zlwB7C1pqKRBpe4H6+xnRERERBQNT3DKNJ3PADeXhfFL67hsLNW6lunAL4CP2V5GtZ7kRao1EFdQLb6udSvwI0mPUE3n+no5fqakGaW+fanW+kD1RXz3cu5B4CM9uLX/lXQ31Rf2b5YEaglwMHCEpIdKP74HDLX9PNWIyX9LmkI1ItGdScA5ZQ3PB6imKnVnd6qRhqNUvdp6epma9wuqJOHxsn1/D+61HndRrZl5BPg/OpmCZ3sO1ajcFZIeonoGR5Vzk6lGnqZTJQ4P1Fw3lSqpmFHKvGqUpoyG7AccLOmr5fC3gNtKHDbq5h4+S/X5fLBM4/slsGmpexZVsnRPKXsb1bSy28r+hsD15bnPoErsr+usIdtTqNYqTad6rkOoXkAREbGCIaM3Yeiks5b/x8jR3V8UETGADGpt7Wx2UMTKKW9Km9b2Jrnoc1qbZWHhqmimBZTNLrFurMS7cRLrxkq8G6eZYl1eMtDVsoVX6WsvGYiIiIiIiFhpWZjcx3TwuzVtrrN9eqP705ny0odLOjh1vu0Jje1Nc2iWZxsRERHRzJLg9DFlbc6r3rrW19ieThP0sy9plmcbERER0cwyRS0iIiIiIvqNJDgREREREdFvJMGJiIiIiIh+IwlORERERET0G3nJQERERBOZ//STDJ717N8PjBzN0hGjeq9DERF9TBKciIiIJrJkznMsPvOU5ftDJ50FSXAiIpbLFLUYsCQ9I2n7Xu7DBElvrqPcjZLe2Ig+RURERDSzjOBE9K4JwAvA77oqZPvAhvQmIiIioskNam1t7e0+xAAm6UDgGzWHtgMOB7YBji7H7gU+ZXuBpNOArYENgX8EZgKH2365izZ2Bc4GhpdDJ9v+laRngB8D+wKvB86xfX65ZmvgPGAUMBQ4z/bFXbSxPvDvwE7l0GW2zyrn7gDafhj1DYBtf1HSseWa54F5wEm2b+mk/meAg2zPKPXdC+wKtJT6JnXWtw7kH31EE5v723tY8LXPLt9f/9TzGPHOd/VijyIi1rhBPSmcEZzoVbZvBG4EkHQ8cCywmCq52Q2YD1wKfAVom3S+I1Ui8RJwEzAeuLCj+iWNBH4GHGZ7iqTBwAY1Rda1vaukLYAZki4BFgJXAONtPy5pODBN0lTbj3dyK1+hmvL5VqpEaqqkh2z/opzfDhgHrF3OTbF9saRjqBKryfVFbLnNgT1LWzMlXWT79/VePHv27B4213xaWloGxH32BYl1Y63Tbn/xokWJ/xqSz3ZjJd6N00yxbmlp6fE1WYMTfYKk/YHPA4dSJQJX2Z5nuxW4oBxrc5Ptv5RzvwG6WpuyK/Co7SkAtpfanltz/qpy/BlgLtUIy5uBbYGrJE0H7gaGlWOdGQdcaLvV9jzgynZ9vtT2EtsLSpt7d1FXPa62vcz2S8BjdB2DiIiIiAEjIzjR6yS9Dfg+sL/tOZIG8eppVLX7C2u2l/LqP2jW6m5Is31dQ0pbL9ge08217dvpqs/dle2pjvodERERMeBlBCd6laRNgWuBo223LbS/GThC0vCS7EwEOlybUocpwHZlHQ6SBksa0c01TwAvS2pbA4SkbSRt0MU1NwMTJQ0qU9qOaNfnoyUNkbQe1Rqj28vxeVTriSIiIiJiNchffaO3TQRGA+dLajt2IvATYGrZnwacsTKV235R0mHAuSW5WAacRBcJk+0lkg4GzpN0MjAY+BOgzq4Bvg6cDzxc9i+z/cua8/eXNjelml7WtubmAuAcSSdRvfxgZRO5iBgghozepPrtmzYjR/deZyIi+qC8RS1iDStvPVuZFwmsKa3NsrBwVTTTAspml1g3VuLdOIl1YyXejdNMsS4vGejRW9QyRS0iIiIiIvqNTFGLfkHSV4HDOji1n+3nV1MbrwN+1cGp62yf3tl1tsfWWf9E4JMdnJpge3pdnYyIiIgY4DJFLWLgyRS1WK0S68ZKvBsnsW6sxLtxminWmaIWEREREREDWhKciIiIiIjoN5LgREREREREv5EEJyIiIiIi+o28RS0iIqKJzH/6SQbPerbaGTmapSNG9W6HIiL6mCQ4ERERTWTJnOdYfOYpAAyddBYkwYmIWEGmqA1Aklolrb+a6/yhpD3K9vskvXN11l/qHStp2uqut9T9jKTt10Tdpf4Jkq5ZU/VHRERERCUjOLFa2J5Ys/s+YBrw29VVv6QB/1mVtBbQajs/XhURERHRiQH/pbG/ktQKfAn4J+C1wMm2r63z2u8Du5Td9YHX2h4haQPgXGAHYG3gduBztpdKugM4B/gbcAgwTtLEUv4Y4Lu2/6vUf3C5bi9Jrwf+HdgcWAe40vY3SrlngIuAvYGngMtq+jgE+Hm5t3WokqmP2l4saShwPjAWeB6YDmxi+wPd37ouBF4PnGP7/HLwHODdwFDgBeA4289K2oIqkbsQOKD0YzzwMWBn4BXgUNvPlfo3lHQtsBXwZ+Bo23+QdBqwvu2TSnvL98v2VuU5vBHYs4w0fQ9oLc/gfcB7bc/o5v6WKz+a1e8NlPvsCxLrxpk766nl20OHDWNEYr9G5bPdWIl34/TnWCfB6d/m2d5J0u6AgboSHNsfA5D0GuAmqgQEqmTlTtsTy2jC5cBxVF/w2669SdINwLSaBKGVKsn5r1JsAnBx2f4x8HXbd5XE5FZJ99q+uZx/ve29Sj1ja7q5FDjS9p8lDQIuLX35PvBRqoRpO6rP+B3ArDpufV3bu5bEZYakS2wvAM6sST4mAmcBR5RrXgvcY/tfJJ0M3AqMtX28pO8BnwS+XMq+Cxhj+wlJpwLfAbpLugD2BP6f7RckDQOuBD5k+25J/wR8uo46VtAsv168KprpV5qbXWLdWOvUbC9etCixX4Py2W6sxLtxminWK5OIJcHp364q//810CJpbdsLe3D9D4GHbX+n7B8CvFPS58v+utSXOFwLfFvSKKpRh3cDH5a0HtUoy2hJbWWHA9sCbQnOjzupcy3gJEnvAQYDI4CXy7m9gMtsLwGWSLoS2KOOfl4FYPsZSXOBNwCPA++R9AmqUZT2/2YW2P552b4fmGV7etm/D9i3puw9tp8o2z8EHq6jTwA32n6hbG8NvGL77tLXn0n6S531RERERPR7SXD6t4UAZQoZ9OB5Szod2BA4tubwIOB9tp/q+KqO2X5Z0n8BHyqH/sv2XyUNp0p4drL9t04uX9DJ8SOpRkT2sD1f0heBN9f0c2XWqdQmf0uBIZL+Afh26ePTknYDrqgpt6jdNa+qo5O2avu4hBVf+LF2u7K1MVjZe4uIiIgYEPIWtXgVSROA/ammgC2rOXUDMEnS4FJulKQtO6hiHlVyVOsSqqlpEyjT02zPB+4GJtW0vZmkTero5kbACyW52ZAq4WlzO3CUpCGS1gY+WEd9ndkAWAw8V6blfWwV6tpd0pvK9oTST4CZwDskrVWSvoO6qONxYL0y7RBJh1LFIiIiIiJIghMdOxV4HTBF0nRJd5fjn6UalXhQ0sPAL4FNO7j+MuDIcu2HAcqUqg2ADWzfU1N2PLCdpIdLnT+lvi/sPwaGS3oEuJoqUWrzfeCPwCPAZKqpYi/VUeer2H641P8IcBvw9MrUU9wJfE3Sg1QvTvhMOX4t8GJp44rS3876s4gqmfu+pN9QvQziT6zk/UVE8xkyehOGTjqr+g2ckaN7uzsREX3OoNbWzHaJ/kfS8DK6M4xq5Olq2z/s7X6tDm33Vrb3onrBwhbtRtu60tosCwtXRTMtoGx2iXVjJd6Nk1g3VuLdOM0U6/KSgUE9uSZrcKK/uqUkN2sDt1BNkesv3i/pRKoR2IVUb1SrN7mJiIiI6NeS4Axgkqbx6s/Ar9teE93MbO/c/lh5xfMnOyg+oebNZ32e7UvoXwlbRERExGqTBGcAs71jb/ehkcoUtX4xTS0iIiIiOpaXDERERERERL+RBCciIiIiIvqNJDgREREREdFvJMGJiIiIiIh+Iy8ZiIiIaCLzn36SwbOerXZGjmbpiFG926GIiD4mCU5EREQTWTLnORafeQoAQyedBUlwIiJW0O+nqEk6TdI5a7D+6ZLWKdvPSNp+NdTZKmn9Ve/dKvdjbPmtnB6dW9PqbVvSBEnXdHLuNElDV3/vVo2kMZL+R9LLnfU9IiIiIjrX7xOcNUXSEADbY2y/0tv9aWZtsWywU4E+l+AAzwOfA07s7Y5ERERENKNem6ImaQtgmu1RtfvAjuX/PwAOBNYFPmL7HkmvA64ANi7V3GL7REmnAevbPqnUtcI+sLmkG4F/AB4HjrP9kqRDgTOApVSx+KTtOyRtCnwXeFO5/krb35R0CTC/HB8NvENSKzDc9oJSdryk3YEW4Dzb55c+bQ2cB4yi+mJ9nu2Ly7nDgG8ALwI31hG7fUq/1y79/lfbV5VzdwD3AruWPtj2pBK7X9VUszlwaYnf5cDWwDDgyRKfuaXcEEk/KPW1AkfYfqy7Ppa+XAL8DdgS2Ay4C/iE7cWdxPIA4JvAYGAO8FHbT5a6zgCOAP4A/LamjQnAQbY/0NF+TbnNgJ8B/wa8uxyeImkZMJbq2SwE3lz6OhU4xnarpA2Ac4EdSsxvp0pCtgKus/2WkqT9GTjD9tmSBLzP9pGSTgU+VOpvBfay/ZeOYmZ7NjBb0rYdxPMPwNttP18+z62231ue7QO2N+34SbxaS0tLvUWb2kC5z74gsW6cubOeWr49dNgwRiT2a1Q+242VeDdOf451X12D81pgqu0vSRoPnAXsDowHnrU9DkDSiDrr2wMYY/tPkn4EfAU4CTgdOMH23ZIGA+uV8j8BbrT9/tJO7QTnXYF32/5rJ21tbHtPSRsDD0i6C3iUKjEbb/txScOBaZKmUiU1FwK72X5C0hfquJ/7gXfZXlrauU/STTVJyebAnsBwYKaki2z/HhhT7uftwLXA+aX8Z2y/UM6dAZwCTCrn3gIca/ujkr4EfJnqOdRrZ2A3qi/3NwL/XNPu8liWL+mXlf1HJX0EuBzYWdLBwCGl/68A1/egfSS9rdR1gu27AEs6gSrmC0oZgO2BccAy4IGyfTNVcnOn7YmS1ip1HWf7QkkbSHo9sAXwCLAPcHb5/63lM3oS8Drbr5Rnv7IjfrcDe0u6trQ3SNJrSlu39aSi2bNnr2QXmkdLS8uAuM++ILFurHVqthcvWpTYr0H5bDdW4t04zRTrlUnE+uoUtQW2J5ftXwNvrNneT9LZkg4CFnR49atNtv2nsn0RsHfZvg34lqSTgW1tzytrX3YDvt12cduX/+KaLpKbtvop7f2canTgzcC2wFWSpgN3U42WbAvsAtxv+4ly/QV13M9o4BpJM4CbgJFUIzBtrra9zPZLwGP8PX5tIxnXUCVbM8vhD0u6T9LDwJGURKh4wvYDZbv2WdTrp7YX2F4CXMrfYw8rxnJn4EHbj5b9i4ExJSHYq6aepZQY12kH4Drg8JLcdOV62wttL6ZKItvu9RDg5PLs7gfeQfVMoUo69qFKhn4AbFbW9oyj+nzNA54AfiLpeKqRxSU96H+t20q9uwC/Kf/tXI7dupJ1RkRERPQrvTmCs4QVE6y1a7YX1Wy3TR/D9lRJY4B9gaOpRhne1U1d7Q2imiZEmZ71Vqov3VdLOhe4spt+15tU1bY1CHjB9pj2Bco0uZ76T+AG4LAyhep3rHjPC2u2l8evTLWaDJxie2o5tgfwcarRjDmSjqQaZemyrpW0PPbFgi7Otb+uM909+1lUI1ljqZK9rnR2r4Oopps99epLuJUqwdkSOIpq5OxDALafBpC0C9UI5N5Uo20H2H6om7505Faq0cdZZXtQaXsf4GsrUV9EREREv9ObIzjPAa+RtFXZP7K7CyRtCcwr600+R7VuYy1gZtt2+Yv/Qe0ufa+k0WV7AtVf3ZG0te2HbX+HalraTmXK0hRqFnm3m6LWnQnlmtHAe4A7qP6C/7Kko2vq3KYkHFOBt0tqW+8zsY42NgKeKcnNvlRrQbpU1ohcA1xmu/btXBsBLwF/ljQMOK6O9nvicEnrlfaPosS+A1OpRmy2KfvHUK0rmU/1ZV6lnsHAsTXXzQR2kDSsjJyssPaGagrgOOBoSZ+vOT4f2LDOe7gBmFTaRtKo8lmk9G1/YITtWcAtVMnGbaXscGC07TttnwrMoJoK12O2n6VKvI4p7d5C9Xn7m+3/XZk6IyIiIvqbXktwyjSdzwA3l4XxS+u4bCzVupbpwC+Aj9leRrWe5EWqNRBXAPe1u+5W4EeSHqGazvX1cvxMSTNKfftSrfWB6ov47uXcg8BHenBr/yvpbqov7N8sCdQS4GDgCEkPlX58Dxhq+3mqEZP/ljSFakSiO5OAc8oang8A9YwG7E71l/6jVL3aenqZmvcLqiTh8bJ9fw/utR53Ua2ZeQT4PzqZgmd7DtWo3BWSHqJ6BkeVc5OpRp6mUyUOD9RcN5Xqi/6MUuZVozRlqt5+wMGSvloOfwu4rcRho27u4bNUn88HyzS+XwKblrpnUSVL95Syt1GtgWpbE7MhcH157jOoEvvrOmtI0haSZlGt+zlQ0qyyHqnNrcDLtv9o+49U63l6tP4mIprbkNGbMHTSWdVv4Iwc3f0FEREDzKDW1s5mBUWsmvKmtGltb5KLPqO1WRYWropmWkDZ7BLrxkq8GyexbqzEu3GaKdblJQNdLVd4lb76koGIiIiIiIge66uviR7w9OrfrWlzne3TG92fzpSXPlzSwanzbU9obG+aQ7M824iIiIhmlASnjyprc1711rW+xvZ0mqCffUmzPNuIiIiIZpQpahERERER0W8kwYmIiIiIiH4jCU5ERERERPQbSXAiIiIiIqLfyEsGIiIimsj8p59k8Kxnq52Ro1k6YlTvdigioo9JghMREdFElsx5jsVnngLA0ElnQRKciIgV9NspapJOk3TOGqx/uqR1yvYzkrZfDXW2Slp/1Xu3yv0YK2laT8+tafW2LWmCpGs6OXeapKGrv3erRtIYSf8j6eXO+h4RERER3eu3Cc6aImkIgO0xtl/p7f40s7ZYNtipQJ9LcIDngc8BJ/Z2RyIiIiKaWcO/YEraAphme1TtPrBj+f8PgAOBdYGP2L6n/PL7FcDGpZpbbJ8o6TRgfdsnlbpW2Ac2l3Qj8A/A48Bxtl+SdChwBrCUKgaftH2HpE2B7wJvKtdfafubki4B5pfjo4F3SGoFhtteUMqOl7Q70AKcZ/v80qetgfOAUVRfrM+zfXE5dxjwDeBF4MY6YrdP6ffapd//avuqcu4O4F5g19IH255UYvermmo2By4t8bsc2BoYBjxZ4jO3lBsi6QelvlbgCNuPddfH0pdLgL8BWwKbAXcBn7C9uJNYHgB8ExgMzAE+avvJUtcZwBHAH4Df1rQxATjI9gc62q8ptxnwM+DfgHeXw1MkLQPGUj2bhcCbS1+nAsfYbpW0AXAusEOJ+e1USchWwHW231KStD8DZ9g+W5KA99k+UtKpwIdK/a3AXrb/0lHMbM8GZkvatoN4ngZsA2xQ+nkfcCbwLarP9nW2T+6o3s60tLT0pHjTGij32Rck1o0zd9ZTy7eHDhvGiMR+jcpnu7ES78bpz7Hua2twXgtMtf0lSeOBs4DdgfHAs7bHAUgaUWd9ewBjbP9J0o+ArwAnAacDJ9i+W9JgYL1S/ifAjbbfX9qpndi8K/Bu23/tpK2Nbe8paWPgAUl3AY9SJWbjbT8uaTgwTdJUqqTmQmA3209I+kId93M/8C7bS0s790m6qSYp2RzYExgOzJR0ke3fA2PK/bwduBY4v5T/jO0XyrkzgFOASeXcW4BjbX9U0peAL1M9h3rtDOxG9eX+RuCfa9pdHsuSgF1W9h+V9BHgcmBnSQcDh5T+vwJc34P2kfS2UtcJtu8CLOkEqpgvKGUAtgfGAcuAB8r2zVTJzZ22J0paq9R1nO0LJW0g6fXAFsAjwD7A2eX/t5bP6EnA62y/Up79qoz4vYPqjwALqD4HZwLvofo3/LSkC8qzrsvs2bNXoSvNoaWlZUDcZ1+QWDfWOjXbixctSuzXoHy2GyvxbpxmivXKJGJ9bYraAtuTy/avgTfWbO8n6WxJB1F9yavHZNt/KtsXAXuX7duAb0k6GdjW9ryy9mU34NttF7d9+S+u6SK5aauf0t7PqUYH3gxsC1wlaTpwN9VoybbALsD9tp8o119Qx/2MBq6RNAO4CRhJNQLT5mrby2y/BDzG3+PXNpJxDVWyNbMc/rCk+yQ9DBxJSYSKJ2w/ULZrn0W9fmp7ge0lwKX8PfawYix3Bh60/WjZvxgYUxKCvWrqWUqJcZ12AK4DDi/JTVeut73Q9mKq5KHtXg8BTi7P7n6qJOPN5dztVMnMOKpRx83K2p5xVJ+vecATwE8kHU81srikB/1v7ybbL5U4PATcbHtRieMT9Pz5RERERPRLvTGCs4QVE6u1a7YX1Wy3TR/D9lRJY4B9gaOpRhne1U1d7Q2imiZEmZ71Vqov3VdLOhe4spt+15tU1bY1CHjB9pj2Bco0uZ76T+AG4LAyhep3rHjPC2u2l8evTLWaDJxie2o5tgfwcarRjDmSjqQaZemyrpW0PPbFgi7Otb+uM909+1lUI1ljqZK9rnR2r4Oopps99epLuJUqwdkSOIpq5OxDALafBpC0C9UI5N5Uo20H2H6om77U28fV+XwiIiIi+o3eGMF5DniNpK3K/pHdXSBpS2BeWW/yOap1G2sBM9u2y1/8D2p36XsljS7bE6j+6o6krW0/bPs7VNPSdipTlqZQs8i73RS17kwo14ymmjp0B9Vf1l+WdHRNnduUhGMq8HZJbet9JtbRxkbAMyW52ZdqLUiXyhqRa4DLbNe+nWsj4CXgz5KGAcfV0X5PHC5pvdL+UZTYd2Aq1YjNNmX/GOAB2/OpkgiVegYDx9ZcNxPYQdKwMnKywtobqimA44CjJX2+5vh8YMM67+EGYFJpG0mjymeR0rf9gRG2ZwG3AF+jGr2hfB5H277T9qnADKqpcBERERGxBjU8wSnTdD4D3FwWWO/GWgAAIABJREFUxi+t47KxVOtapgO/AD5mexnVepIXqdZAXEG1+LrWrcCPJD1CNZ3r6+X4mZJmlPr2pVrrA9UX8d3LuQeBj/Tg1v5X0t1UX9i/WRKoJcDBwBGSHir9+B4w1PbzVCMm/y1pCtWIRHcmAeeUNTwfoJqq1J3dqUYajlL1auvpZWreL6iShMfL9v09uNd63EW1ZuYR4P/oZAqe7TlUo3JXSHqI6hkcVc5Nphp5mk6VODxQc91UqqRiRinzqlGaMlVvP+BgSV8th78F3FbisFE39/BZqs/ng2Ua3y+BTUvds6iSpXtK2duo1kDdVvY3BK4vz30GVWJ/XWcNSdpC0iyqdT8HSppV1iNFRKxgyOhNGDrprOo3cEaO7v6CiIgBZlBra2ezgyJWTnlT2rS2N8lFn9PaLAsLV0UzLaBsdol1YyXejZNYN1bi3TjNFOvykoGuli28Sl97yUBERERERMRKy8LkPqaD361pc53t0xvdn86Ulz5c0sGp821PaGxvmkOzPNuIiIiIZpYEp48pa3Ne9da1vsb2dJqgn31JszzbiIiIiGaWKWoREREREdFvJMGJiIiIiIh+IwlORERERET0G0lwIiIiIiKi38hLBiIiIprI/KefZPCsZ6udkaNZOmJU73YoIqKPyQhONC1JG0n6wipcP1bStNXZpw7auETSJ9dkGxExsCyZ8xyLzzyFxWeeAi/O6e3uRET0OUlwopltBKxUgiOpR6OXkgavTDsRERER0ViZohZ9gqQtgGm2R9XuAzuW//8AOBBYF/iI7XuA/wA2kjQdeNn2bpJeD/w7sDmwDnCl7W+UOp8BLgL2Bp4CLgNeI+li4G3AEmCC7UcljQXOA+4GdgLOkHQXcC6wA7A2cDvwOdtLJW0KfBd4U7mlK21/s2xvL+k2YDNgKnCM7VZJdwDn2J5c+rd8v2zfC+wKtAC2PamU2w64GFgPmA5sBZzRVk9ERETEQJYEJ5rBa4Gptr8kaTxwFrA78AmqpKj2xzN/DHzd9l2ShgK3SrrX9s3l/Ott7wXVFDWqZOXTtu+UdEy5fsdS9q3Ax21/qpT/IXCn7YmS1gIuB44DLgR+Atxo+/2lbO2k+O2BccAy4IGyfTPd2xzYExgOzJR0ke3fUyVm37b9E0k7Ar+po64VtLS09PSSpjRQ7rMvSKwbZ+6sp5ZvDx02jBGJ/RqVz3ZjJd6N059jnQQnmsGCmtGJXwPf6qiQpPWAscBoSW2HhwPb8veE4sftLnvS9p1l+zLgAkkblP3f255aU/YQ4J2SPl/21wVmSVof2A3Yt62g7Rdqrrve9sLSx/uBN1JfgnO17WXAS5IeA94o6U9UCdMVpZ1pkh6qo64VzJ49u6eXNJ2WlpYBcZ99QWLdWOvUbC9etCixX4Py2W6sxLtxminWK5OIJcGJvmIJK64JW7tme1HN9lI6/9yuBbQCO9n+WydlFvSgT+3LDgLeZ/up2oMlwenKwprt2v53dc+dXTeI6h5bu2kzIiIiYkDKSwair3iOaj3MVmX/yDqumQes2/bCANvzqdbMTGorIGkzSZt0UcdWkvaoafNh2/M6KXsDMKnthQOSRkna0vYCYApwYk279by3dSbV+p62dTVjui4Otl8CHgU+VK77f1RT6SIiIiKCJDjRR9heAnwGuLkssF9axzUvUq2DeVjSlHJ4PLCdpIclPQz8lOpta52ZDnxI0n3Ap4EPd1H2s6VfD5a6fwlsWs4dBewuaYakB4GPdNd/qrVEB5ZXVZ9EtT6nHh8GPlv6/DHgQeClOq+NiIiI6NcGtbZmpktEMylrjV4ub2LbDrgD2Nr23DqraG2WeberopnmFze7xLqxhi96mZfzQ58Nkc92YyXejdNMsS5rcAb15JqswYloPrsDZ0tq+8d+fA+Sm4hocsO33Ir5w9bt7W5ERPRZSXAimoztXwG/6u1+RERERPRFWYMTERERERH9RhKciIiIiIjoN5LgREREREREv5EEJyIiIiIi+o0kOBERERER0W8kwYmIiIiIiH4jr4mOiIhoIvOffpLB+aHPiIhOJcGJiIhoIkvmPMfiM08BYOiksyAJTkTECjJFrQ+Q9Iyk7cv2DyXt0U350ySds4ptjpU0bVXqWF26up/Vca8d1LmjpMvL9kaSvtDu/B2SDqqzrhZJt9dZ9uOSHpf0gKThnZTZT9I0SYtW931HREREDAQZweljbE/s7T70d7anAePL7kbAF4B/62k9kobYng3sVeclnwaOtn1vF2WeAo4H3g+s3dM+RURERAx0SXAaTNKuwNlA21/wT253/g7gHNuTJW0IfBvYCVgG3G37k+3KvxW4Avik7TslHQh8ierL8WLgRNu/LmXPAI4A/gD8to6+fr6UHwIsBD5ue3o511ra+SfgtcDJtq8t7X+jpprtgMOB3wBXAhuUvv3cdu3IyaaSbgT+EZgJHG775Tr6OAa4pObQVsCXbH+ns1hIGksV4x2B/wA2kjQdeNn2bqWecZJOAt4A2PYXS3t3AFOAnYGFkj4BTLM9qpzfGTiz3CfAV23/XNJPgTcCl0m6z3ZbgrUC20+Weg5td5/rA88AG9teKulR4Hbbn5D0TuC8mr53q6Wlpd6iTW2g3GdfkFg3ztxZTy3fHjpsGCMS+zUqn+3GSrwbpz/HOglOA0kaCfwMOMz2FEmD+fsX4Y6cBywA3mZ7maQVJlpL2qeU+aDtRyW9EfgKsL/teZLeAvwC2FzSwcAhwBjgFeD6Orr8Y9vfKm2NA74P7FJzfp7tnSTtDhi41vaNwI3lmuOBY4GbSvmDbS+Q9BrgJkkH2P5lObcjVSL3Uik/Hriwuw6WhGtMae8AqoTw8q5i0a6KtgRlTLvj2wHjqJKjqZKm2J5czm1f6l0iaYu2CyRtVGJ0oO0/Sno9cK+k7W1/UNIzwAdsz+juvjq4zwWSHgd2kvQs8DLwrnJ6H+DWntQ3e/bsnnah6bS0tAyI++wLEuvGWqdme/GiRYn9GpTPdmMl3o3TTLFemUQsa3Aaa1fgUdtTAGwvtT23i/IHAWfbXlbKv1Bzbj/gO1RftB8tx/anGiW4q4xIXA4MkbQx1TSqn9peYHspcFEd/X2HpLskzQDOpSQSNa4q//810CJp+ZQqSfsDnwcOtb0QGAycLelB4D6qJKG2vpts/8V2K9Vozxvr6N9yZSTnP4FDSpy6ikU9LrW9xPaCcp9715y7wvaSDq7ZDdgS+EVp8xdAK9Wo0upwG1XSNQ74b2CupDeU/R4lOBERERH9VUZwGmvQaqzrd8BbqEY+bqip/5e2P9y+sKQetS1pKHANsKft+yW1UE1tq7UQqkRNEpTPk6S3UY1k7G97Tin7OWAEsLPthZIuYMU1Jgtrtpey4h8pu+vrG0pfj7L9+3K4q1hsW2/dNXW11uwv6KLcQ7b37GH99boVOA14Fvgh1bTF9wJvB6auoTYjIiIimkpGcBprCrBdWYeDpMGSRnRRfjJwclty0m6K2jPAvsA3JX2wHPsVcECZjkW5ZqeyeWu1q/XK1Lhju+nr2lQJy/+V/RO6u7nS3qbAtVSL6X9Xc2oj4I8ludkUOLTDCnqovI1sMvBF2/9Tc6qrWNSaB6wrqX2yf7SkIZLWo1pDVM+b0qYAb5K0/KUDknbqaXLZhanA26hGin4D3AL8C3Cf7UWrqY2IiIiIppYEp4FsvwgcBpwr6SGqqVrv6OKSE6leRjCjTO36arv6ZlGtv/iipGPL6MVRwEWSHpT0GPDRUnYyVSIwnWqq0wPd9HVeae9eSXcBf63zNicCo4HzJU0v/+0FfBfYXdIDVFPJVteUqsOArali0Nbe+K5iUas8k8uBhyVNqTl1P1UCMZ3qhQiT21/bQV1zqdY5nVrT5mn0YORO0rskzaIa8fqopFlluh+2FwP3Ar+3/beyPYLqeUbEADFk9CYMnXRW9Rs4I0f3dnciIvqcQa2trd2Xioj+pLVZFhauimZaQNnsEuvGSrwbJ7FurMS7cZop1uUlAz2aDZMRnIiIiIiI6DfykoEBroPfrWnzxfLK5z5B0kTgkx2cmtD22zzNooPf7mlzvu0fNrg7EREREf1KpqhFDDyZoharVWLdWIl34yTWjZV4N04zxTpT1CIiIiIiYkBLghMREREREf1GEpyIiIiIiOg3kuBERERERES/kQQnIiKiicx/+kkGz3yMwXNf6O2uRET0SUlwIiIimsiSOc+x+MxT4MU5vd2ViIg+KQlO9DpJn5X0ulW4fqykaauzT32NpOmS1untfkRERET0dfmhz+gLPgvcAjzf2x3pq2yP6e0+RERERDSDJDix2knaFTgbGF4OnQxcAPwY2Bd4PXCO7fMlfQloAa6RtBA40vajndR7ObA1MAx4EjjO9txy+jWSLgbeBiwBJrTVI+kU4OhS7l7gU7YXdNH/VuDLwPuA1wLHA+OAA4DXAIfbfkzSJsCVwAbA2sDPbX+h1LEh8CPgLcAfyn/P2z5J0j7AGeWaIcC/2r6qjGL9qqYrmwOX2j6x9Gm47QWSnukolp3dT0fKj2b1ewPlPvuCxLpx5s56CoChw4YxInFf4/LZbqzEu3H6c6yT4MRqJWkk8DPgMNtTJA2mSgAA1rW9q6QtgBmSLrH9r5KOBz5ge0Y31X/G9gulnTOAU4BJ5dwOwKdt3ynpGKoEYEdJ76FKbnYD5gOXAl8p13blL7Z3knQ48F/AB23/i6QvAF8CjgL+Ahxcko7XADdJOsD2L4GvAnNtb1Nich9wban7fuBdtpdK2hi4T9JNtp8HxpT7e3sp31ni0lEsO03a2muWXy9eFc30K83NLrFurLa5qosXLUrc17B8thsr8W6cZor1yiRiWYMTq9uuwKO2pwDYXlozynJVOfYMMBd4Qw/r/rCk+yQ9DBxJSQaKJ23fWbYvA94qaQOqkZerbM+z3Uo1kjSujrZ+Wv5/P9Bq++dl/z5gq7I9GDhb0oPl+PY1fdoLuBjA9ovA9TV1j6YasZoB3ASMpBqZAkDSZsA1wHjbMzvp36rGMiIiIqJfSoITq9ugLs4trNleSg9GECXtAXwcOMD2W6mmkK1dZ39a2x1rv9+Rtr4uBRbVHK/t9+eAEcDOtnegSmLa+tRRu23+E7gDeGtZWzOr7bqSlE0GTrE9tY7+te9TRERExICWBCdWtynAdmUdDpIGSxrRzTXzgA27KbMR8BLwZ0nDgOPand+qJEFQje48bHsecDNwhKThkgYBE6leaLA6bAT80fZCSZsCh9acux04BqDc/6HtrnvGdqukfSkjQpKGUI3cXGb7mtXUx4iIiIgBJQlOrFZlOtZhwLmSHqKauvWObi77LnBxeRXydp2U+QUwE3i8bN/f7vx04EP6/+zdeZhdVZ3u8W9MTAgyBYhgITQKzaiAAi0QQRQUpRFthPcCAWWUBrQRAUk3Clw6ArZgY1/UFgVBBvE1IBcRTDMYhibYJiGEMESZVMxFQWJCJCQkqfvHWgWHMqkhKU7Vqbyf5+HJPntY67fX3vWwf2ettY80Ffgn4JM1nluAq4DJwIN13/G9Oqmu4x4j6X5Kr8ztDdvOAd4s6aFa/39TEjQo84YukDQZOBCYUdePAfYCDqttMV3SaX0Ua0QMEsNGb8jwcV+BdUf3dygREQPSkPb2nozWiYjeqC8dGFp7d9YC7gE+b7uveo9WRnurTCxcGa00gbLVpa2bK+3dPGnr5kp7N08rtXV9yUBXUyD+SsbtR7w+RgG31LfIrQZcM0CSm4iIiIhBLQlODCiSzqQMcevsQ/U1yi1RTy2ju6F5EREREdHHkuDEgGL7HMr8lUFRT0REREQ0V14yEBERERERg0YSnIiIiIiIGDSS4ERERERExKCRBCciIiIiIgaNJDgREREt5IUnH2Po448wdM5z/R1KRMSAlAQnIiKihSx+9hkWnX86PP9sf4cSETEgDZjXREs6G1jD9qmvU/nTgV1tL5D0FLCf7ZkrWWY7sKbt+X0R40rEsSdwge2derOtYZ/LgSm2L+6jeM4GzrW9qC/Kayj3Kbq4bpI2pZzH+n1Zb29iWIlyPwx8BWgH3gjcAHzRdntf1hMREREx2A36HhxJwwBs72B7QX/Hs4o4Cxje30G0mHuAd9veAdgB+CDw0f4NKSIiIqL1dNuD0/lb8Y7PwE71328D+wKrA0fbvkfSm4FrgA1qMbfZPrlzL80yem02kXQz8DfAo8BRtudK+hgwHlhSY/6M7UmSNgL+A/jbevwPbJ9XeyReqOtHAzsuo7dlrKQxQBtwUUfvhaQtgYuA9SkP6RfZ/l7ddgBwLvA8cHMP2m6vGvdqNe4v2762bpsE/BLYtcZg2+Nq2/1XQzGbAFfU9rsa2BIYATxW22dO3W+YpG/X8tqBg20/0l2MDbaXdBuwMXAXcKLtRZLWAr4GbFfP4+fA520vkXQWcAjwUq3z/cCXa3n3SloK7Em5P07i1aTnVNu313Z4Cvg+5YH+LZTepo5rsTvwTWABcB8wpK5/A3Ax8AFgITDf9pjGk5E0ArgSeBo4BXiShp6Xxp6YFYmhbuvqXmkHzgD+AVgPOM32dctr/E69gKvV8pbWss4GtgLWArYApgLnAxdS/laut33a8spelra2tt7s3rJWlfMcCNLWzTPn6ScAGD5iBKPS7q+73NvNlfZunsHc1is7RG09YLLtMySNpQyxGQOMBX5je28ASaN6WN7uwA62/yDpMuBLwKmUX5w/wfbdkoYCb6r7XwXcbPsTtZ7GoUm7Au+z/Zfl1LWB7T0kbQDcL+ku4GFKYjbW9qOS1gSmSJpMSWq+A+xme5akL/TgfKYB763JwAbAVEkTG5KSTYA9gDWBxyVdavvXlG/wkfQu4DrKwzzASbafq9vGA6cD4+q2bYEjbR8n6Qzgi5Tr0FPvAXajJCs3A5+u9X4NuNP2MTWxuBo4StIEyrV5cx32tyawwPaJkk6o7TS/xjqRkny216TgduCtDXWvbnvXmjzPrAnqy8C1lGsxSZKAz9b9twf2BrayvbTz/SVpXeB64Me2v17XdXf+vYqh9gwu816x/Wgtc57tnWsibcq1XC5JOwGXURLzbwE/bdi8I+VLhfmU++p84COUv+EnJV1S750emT17dk93bVltbW2rxHkOBGnr5hpZ/120cGHa/XWWe7u50t7N00ptvSKJ2MoOUZtv+6a6fB+wWcPyhyR9VdJ+lIeynrjJ9h/q8qWUb+gB7gAulHQasLXteZLWoDyQ/3vHwR0P/9WELpKbjvKp9f2U0tOwBbA1cG2ds3M3pbdka2AXYJrtWfX4S3pwPqOBCZJmAhOBdSk9MB1+ZHup7bnAI7zafkjaGJhAeYB+vK7+pKSpkh4EDqUmQtUs2/fX5cZr0VM/tD3f9mLgCl5t+/2B02p7TKM8aG8BzANmAVdJOpbSE7d4OWVvBkyU9BDwQ2BDSRs2bL8WwPZTwBxK8rMl8KLtSXWbgbl1/yeAocClkg7vVNdqlOFe3+hIbnqotzF0da+8pkzK9WiTtFpXAdieYns7Si/ajpSEv8NE23NtLwFmALfaXljv8Vn0/npHREREDEo9SXAWd9qv8SFtYcNyx/AxbE+mPHxPBQ6nDGvqrqzOhlCGPWH7ZOBoYBHwo/pA3Z3eTPzvqGsI8Fydr9Px36a2f0zD0KRe+BYwCXhnnVvxNK8955call9pvzos7Cbg9NqWHUOljgc+bPudlB6abstaQa+0fV3+eEN7bGH7tPqgvQtliOBbKb1T2y2nvB8A37S9LfBuyn3QXezLbe+aEG5LSZa2Ax5qSJgWURKK/WtvX4fu7r1exUDX98pryqxtBT28JjVRvwU4qIv4+vJ6R0RERAwaPUlwngHeKGnz+vnQ7g6Q9DbK8Jxrgc9T5sC8AXi8Y7kO6dmv06F/L2l0XT6CmhhJ2tL2g/Ub+auAnevwp3uBkxvq7c3bs46ox4ymDPWZRPkm/MXGXgFJW9WEYzLwLkkd832O6UEd6wBP1aFZHwQ27+6AOvRpAnCl7QmdypoL/KnOLzmqB/X3xkGS3lTrP4xXk9IbgXEdyYKk9SW9rV6/0bbvtH0WMBN4Rz3mBWDtTrE/WZePpvR0dOdRYKSkPWq9B3aUWa/ZSNs/owzRmwu8vR63tNYxD/ihpDfW9Y8DO9fj9+LV+WErFANd3yu9JmmL+jeCpDdR7skHV6SsiIiIiFVZt9/62l4s6STgVkm/4dUH367sCZwiqeNb83+scyWuAwQ8RJkkP7XTcbcDl0l6O+UB8pS6/vyaWCwG/kx5gIXyIP4NSZ+ifIt9DWUeUE/8VtLdlEnl59l+EEDSR4GL6nC4ocAfANn+o6RPAz+R9DxlTkV3xgHflDSOMqxoRg+OGQPsBbxZ0mF13dWUoXiHUR66n6a84OHvenaqPXIX5dXEm9TljiF4nwP+DXigTpxfWNe9DFwnaSTlGk+jzHuBMvn9DkkLKPfC54AbJP0euBP4U3fB2F4o6RBK+y2gDFP8bd28MfCdmowNo/R23Fdjx+XVyidKuqDW+wlKj9cVtffvvxvKWqEY6t/FMu+V7spdjo8BR9S/maHAj4HvrmBZETGIDRu9IcPHfQXWHd39zhERq6Ah7e35mY2IVUx7q0wsXBmtNIGy1aWtmyvt3Txp6+ZKezdPK7V1fclAr6aKDPrfwYmIiIiIiFVHJiavJP3179Z0uN72Oc2OZ3kk7QBcvoxNF9vOUKgmaJV7JSIiIqKVJcFZSbb/yGtf1zwg2Z5OC8Q5mLXKvRIRERHRyjJELSIiIiIiBo0kOBERERERMWgkwYmIiIiIiEEjCU5ERERERAwaSXAiIiJayAtPPsbQxx9h6Jzn+juUiIgBKQlOREREC1n87DMsOv90eP7Z/g4lImJAGrSviZZ0NrCG7VNfp/KnA7vaXiDpKWA/2zNXssx2YE3b8/sixpWIY0/gAts79WZbf8bVab8jKNfjwGVsOxs41/ai1yPGFSXpw8BXgHbgjcANwBdtt/drYBEREREtJj04vSRpGIDtHWwv6O94WllHWzbZWcDwfqi3O/cA77a9A+W3cj4IfLR/Q4qIiIhoPU1/wJS0KTDF9vqNn4Gd6r/fBvYFVgeOtn1P/QX4a4ANajG32T65cy/NMnptNpF0M/A3wKPAUbbnSvoYMB5YQmmDz9ieJGkj4D+Av63H/8D2eZIuB16o60cDOy6jt2WspDFAG3CR7YtrTFsCFwHrUx6sL7L9vbrtAOBc4Hng5h603V417tVq3F+2fW3dNgn4JbBrjcG2x9W2+6+GYjYBrqjtdzWwJTACeKy2z5y63zBJ367ltQMH236kuxhrLJcDLwNvAzYG7gJOtL1oOW35YeA8YCjwLHCc7cdqWeOBg4HfA//TUMcRNPTSLK/XRtLGwI+BfwPeV1ffK2kpsCfl2rwEbFFjnQx8yna7pLWArwHb1Tb/OfB5YHPgetvb1iTtT8B421+VJODjtg+VdBZwSC2/HXi/7T8vq8069dqtRrlXltZzOBvYClirxjkVOB+4kHJvX2/7tGWVuzxtbW292b1lrSrnORCkrZtnztNPADB8xAhGpd1fd7m3myvt3TyDua0H2hC19YDJts+QNJYyZGcMMBb4je29ASSN6mF5uwM72P6DpMuALwGnAucAJ9i+W9JQ4E11/6uAm21/otazfkNZuwLvs/2X5dS1ge09JG0A3C/pLuBhSmI21vajktYEpkiaTElqvgPsZnuWpC/04HymAe+1vaTWM1XSxIakZBNgD2BN4HFJl9r+NaVHAEnvAq4DLq77n2T7ubptPHA6MK5u2xY40vZxks4Avki5Dj31HmA3ysP9zcCnG+p9pS1rAnZl/fywpKOBq4H3SPoosH+NfwFl2FaPSdq+lnWC7bsASzqB0ubz6z4A7wD2piQU99flWynJzZ22j5H0hlrWUba/I2ktSW8BNgUeAvYCvlr/vb3eo6cCb67DGNes59BVvDsBl1GSv28BP23YvCPlS4D5lPvgfOAjlL/hJyVdUq91j8yePbunu7astra2VeI8B4K0dXONrP8uWrgw7f46y73dXGnv5mmltl6RRGygDVGbb/umunwfsFnD8ockfVXSfpSHvJ64yfYf6vKlwAfq8h3AhZJOA7a2PU/SGpQH8n/vOLjj4b+a0EVy01E+tb6fUnoHtgC2Bq6tc3bupvSWbA3sAkyzPasef0kPzmc0MEHSTGAisC6lB6bDj2wvtT0XeIRX26+jJ2MCJdl6vK7+pKSpkh4EDqUmQtUs2/fX5cZr0VM/tD3f9mLgCl5te3htW74HeMD2w/Xz94AdakLw/oZyllDbuIe2A64HDqrJTVdusP1SnZczjVfPdX/gtHrtplGSjC3qtp9Tkpm9Kb2OG0saXj/fAcwDZgFXSTqW0rO4uKsgbE+xvR2lJ2lHSoLeYaLtubUdZgC32l5Y23EWvb8+EREREYNSfyQ4izvVu1rD8sKG5Y7hY9ieTHn4ngocTnm47K6szoZQhglh+2TgaGAR8KP6ANqd3kz876hrCPBcna/T8d+mtn9ct/XWt4BJwDvrXI2nee05v9Sw/Er71aFWNwGn17ZE0u7A8cCHbb+T0kPTbVkr6JW2r+Z3sa3zccvT3bV/mtJLtmcP4lveuQ6hDDfruHZbNAwFu52S4OxVl++jDEfD9pM1EdmFMuTxrZTetu16EEtHYn0LcFAXMfbl9YmIiIgYNPojwXkGeKOkzevnQ7s7QNLbgHl1vsnnKfM23gA83rFcv/Hfr9Ohfy9pdF0+gpoYSdrS9oO2v04ZlrZzHbJ0L3ByQ73r03NH1GNGU4YOTaJ8s/6ipMMbytyqJhyTgXdJ6pjvc0wP6lgHeKrOD/kgZS5Il+ockQnAlbYndCprLvAnSSOAo3pQf28cJOlNtf7DeDUp7Wwypcdmq/r5U8D9tl+gJA6q5QwFjmw47nFgO0kjas9J5zemPU/pTTnFORDgAAAgAElEQVRc0ikN618A1u7hOdwIjKt1I2n9ei9SY9sHGGX7aeA24H9Tem+o9+No23faPguYSRkKt0yStqj3NJLeRLmHHuxhnBERERFRNT3BqcN0TgJurRPjl/TgsD0p81qmU77Z/kfbSynzSZ6nzIG4htLD0+h24DJJD1GGc/1rXX++pJm1vA9S5vpAeRAfU7c9QOnl6anfSrqb8sB+Xk2gFlPehHWwpBk1jm8Cw23/kTIv5SeS7qX0SHRnHHBBncNzIGWoUnfGUHoZDpM0vf53GqUdH6e8fOEWyhCsvnQXZc7MQ8DvWM4QPNvPUnrlrpE0g3INDqvbbqL0PE2nJA73Nxw3mZJUzKz7/NULEOpQvQ8BH5V0Zl19IXBHbYd1ujmHz1HuzwfqML6fARvVsp+mJEv31H3voMyBuqN+Xhu4oV73mZTE/vou6voY8GC9735Bab/vdhNfRKyCho3ekOHjvgLrju5+54iIVdCQ9vb8zEb0rfqmtCkdb5KLAae9VSYWroxWmkDZ6tLWzZX2bp60dXOlvZunldq6vmSgV1M7BtpLBiIiIiIiIlZYJiYPMMv43ZoO19s+p9nxLI+kHYDLl7HpYttHNDea1tAq1zYiIiKilSXBGWDq3Jwdut2xn9meTgvEOZC0yrWNiIiIaGUZohYREREREYNGEpyIiIiIiBg0kuBERERERMSgkQQnIiIiIiIGjSQ4ERERLeSFJx9j6OOPMHTOc/0dSkTEgJQEJyIiooUsfvYZFp1/Ojz/bH+HEhExIA2YBEfS2ZIueB3Lny5pZF1+StI7+qDMdklrrHx0Kx3HnpKm9HZbwz6XS/pMH8ZztqThfVVeQ7ldXjdJm0p6Xb/S7Kt7Zzllf0DSFEkP1f+2fz3qiYiIiBjMBkyC83qRNAzA9g62F/R3PKuIs4A+T3AGM0kbAZcCY21vC+wEPNm/UUVERES0nm5/6FPSpsAU2+s3fqY8gE0Bvg3sC6wOHG37nvqL7dcAG9RibrN9sqSzgTVsn1rLes1nYBNJNwN/AzwKHGV7rqSPAeOBJTXmz9ieVB8K/wP423r8D2yfJ+ly4IW6fjSwo6R2YE3b8+u+YyWNAdqAi2xfXGPaErgIWJ/ykH6R7e/VbQcA5wLPAzf3oO32qnGvVuP+su1r67ZJwC+BXWsMtj1uGb92vwlwRW2/q4EtgRHAY7V95tT9hkn6di2vHTjY9iPdxdhge0m3ARsDdwEn2l4kaS3ga8B29Tx+Dnze9hJJZwGHAC/VOt8PfLmWd6+kpcCelPvjJF5Nek61fXtth6eA7wMfBN4CXNBwLXYHvgksAO4DhtT1bwAuBj4ALATm2x7TeDKSRgBXAk8Dp1CShf1sz2yodz/bM1ckhrqtq3ulHTgD+AdgPeA029d10f4nAFfangVQk/EFtayzga2AtYAtgKnA+cCFlL+V622f1kXZf6Wtra03u7esVeU8B4K0dfPMefoJAIaPGMGotPvrLvd2c6W9m2cwt3W3CU431gMm2z5D0ljgK8AYYCzwG9t7A0ga1cPydgd2sP0HSZcBXwJOBc4BTrB9t6ShwJvq/lcBN9v+RK1n/YaydgXeZ/svy6lrA9t7SNoAuF/SXcDDlMRsrO1HJa0JTJE0mZLUfAfYzfYsSV/owflMA95bk4ENgKmSJjYkJZsAewBrAo9LutT2r6m/di/pXcB1lId5gJNsP1e3jQdOB8bVbdsCR9o+TtIZwBcp16Gn3gPsRklWbgY+Xev9GnCn7WNqYnE1cJSkCZRr82bbC2pbLbB9oqQTajvNr7FOpCSf7TUpuB14a0Pdq9vetSbPM2uC+jJwLeVaTJIk4LN1/+2BvYGtbC/tfH9JWhe4Hvix7a/Xdd2df69iqD2Dy7xXbD9ay5xne+eaSJtyLZdnG+ApSXcAoyiJ5D/bXli370j5UmE+5b46H/gI5W/4SUmX1HunR2bPnt3TXVtWW1vbKnGeA0HaurlG1n8XLVyYdn+d5d5urrR387RSW69IIrayQ9Tm276pLt8HbNaw/CFJX5W0H+WhrCdusv2Hunwp5Rt6gDuACyWdBmxte16d+7Ib8O8dB3c8/FcTukhuOsqn1vdTSk/DFsDWwLWSpgN3U3pLtgZ2AaZ1fMMOXNKD8xkNTJA0E5gIrEvpgenwI9tLbc8FHuHV9kPSxsAEygP043X1JyVNlfQgcCg1Eapm2b6/Ljdei576oe35thcDV/Bq2+8PnFbbYxrlQXsLYB4wC7hK0rGUnrjFyyl7M2CipIeAHwIbStqwYfu1ALafAuZQkp8tgRdtT6rbDMyt+z8BDAUulXR4p7pWA+4BvtGR3PRQb2Po6l55TZmU69EmabUu6h9G+XLgHyjJ5iaUBLbDRNtzbS8BZgC32l5Y7/FZ9P56R0RERAxKPenBWcxrE6HGh7SFDcsdw8ewPVnSDpQhP4dTehne201ZnQ2hDHuiDs96J+Wh+0eSvgb8oJu4e5pUNdY1BHjO9g6dd6jD5HrrW8CNwAG19+JXvPacX2pYfqX96rCwm4DTbU+u63YHjqf0jDwr6VBKL0uXZa2gV9q+Ln/c9hOdd5K0C+Wh/AOU3qkP256xjPJ+AJxi+4baC/Qi3bfDEJajDlvclpKU7gV8RdK76+ZFlIRif0nX14QAur/3ehUDXdwrncusPXjQ9TX5DfDLmuwiycAnu4ivL693RERExKDRkx6cZ4A3Stq8fj60uwMkvY0yPOda4POUOTBvAB7vWK5DevbrdOjfSxpdl4+gDNNB0pa2H6zfyF8F7FyHP90LnNxQ7/r03BH1mNGUoT6TKN+Ev9jYKyBpq5pwTAbeJaljvs8xPahjHeCpmtx8ENi8uwPq0KcJlPkYEzqVNRf4U51fclQP6u+NgyS9qdZ/GLXtKQnauDo0EEnrS3pbvX6jbd9p+yxgJtDxdrEXgLU7xd4xYf5oSk9Hdx4FRkrao9Z7YEeZ9ZqNtP0zSvI8F3h7PW5prWMe8ENJb6zrHwd2rsfvxavzw1YoBrq+V1bENcAHJA2XNATYB3hgBcuKiIiIWGV1m+DUYUcnAbfWifFLuj4CKN+s31+H7twC/KPtpZQ5CM8DD1Ee6KZ2Ou524LI6lGld4F/r+vMlzazlfZAy1wfKg/iYuu0ByoNtT/1W0t2UxOW8mkAtBj4KHCxpRo3jm8Bw23+k9Jj8RNK9lB6B7owDLqhzeA6kDC3qzhhKr8RhKq+2nl6H5t1CeUh/tC5P68W59sRdwA2Ua/M7Xh2C9znKNX+gDo37GbAR5UH/htpOMymJ8PX1mAuBO2rs69QybpB0D7Ap8KfugqlzTw4BviHpfyjzT35bN28M3Fav+QxKe9zXcGy77ROBp2q9q1HmJJ0i6T7KSw86ylqhGLq6V7ordzl13UuZ+zS9ntMwygstIiJeY9joDRk+7iuw7ujud46IWAUNaW9v736viBhM2ltlYuHKaKUJlK0ubd1cae/mSVs3V9q7eVqpretLBrqaNvBXBv3v4ERERERExKojE5NXkv76d2s6XG/7nGbHszz1pQ+XL2PTxba/2+RwVkmtcq9EREREtLIkOCupzs3p6k1aA4Lt6bRAnINZq9wrEREREa0sQ9QiIiIiImLQSIITERERERGDRhKciIiIiIgYNJLgRERERETEoJEEJyIiooW88ORjDJ3zXH+HERExYCXBiYiIaCGLn30Gnn+2v8OIiBiw8proPibpbGAN26c2sc49gQts79SbbQ37XA5MsX1xH8VzNnCu7UV9UV5DuU8B+9meuZztm1LOY/2+rLc3Maxk2R8A/g0YWVcdavuBvq4nIiIiYjBLD068Hs4Chvd3EK1E0kbApcBY29sCOwFP9m9UEREREa2npXtwJH0YOA8YCjwLHAe8Ffg6MA3YHlgMHGH74XrMp4ATKOc+Fzje9ixJRwCHAnOAdwB/Bj5h+5l63BeAA+txvweOtf2MpLUpD6bbAL+tcfyhHrMXMB5YrR73ZdvX1m2TgF8CuwJtgG2PW8av3W8CXGH7ZElXA1sCI4DHgKNsz6n7DZP07VpeO3Cw7Ud60ZzbS7oN2Bi4CzjR9iJJawFfA7ar5/Fz4PO2l0g6CzgEeKnW+X7gy7W8eyUtBfYE9gVO4tWk51Tbt9d2eAr4PvBB4C2U3qaL67bdgW8CC4D7gCF1/RuAi4EPAAuB+bbHNJ6MpBHAlcDTwCmUZOGVnpfGnpgViaFu2xK4CFi/nttFtr9Xt7UDZwD/AKwHnGb7ui7a/wTgStuzAGwvqHV29IhtBawFbAFMBc4HLgT+Brje9mldlP1X2traerN7y1pVznMgSFs3z5ynn2D4iBGMSps3Re7t5kp7N89gbuuWTXBqInAl8D7bD0s6GrgaOJ3yMP5Ptu+sCc33gZ3qw6qAPWwvlPQR4DKg4+F4Z2A727+T9B3gs8AZkg4DNgd2sb1U0vGUh8uxwJnAPNvbSFqfkli5ljcNeG9NBjYApkqa2JCUbALsAawJPC7pUtu/pv7avaR3AddRHuYBTrL9XN02vp7ruLptW+BI28dJOgP4Yo2vp94D7EZJVm4GPl3r/Rpwp+1jamJxNXCUpAnAqcCbbS+QtCawwPaJkk4AdrM9v8Y6EfiB7faaFNxOSUQ7rG571zrEbGYdMvcycC2lR2OSJNXrASVx3RvYql6PUY0nImld4Hrgx7a/Xtd1d/69ikHSMOCauu3Rev5TJE22/Wgtc57tnSWNodwTXSU42wBPSboDGEVJJP/Z9sK6fUdKr858yn11PvARyt/wk5IuqfdOj8yePbunu7astra2VeI8B4K0dXONBBYtXJg2b4Lc282V9m6eVmrrFUnEWnmI2nuABzp6ZoDvURKDNYHHbN9Z118JvLP2RHyU8nD8C0nTKQ+JGzeU+d+2f1eX7wM2q8v7Ux6op9XjTgQ2rdveT+nBoSYf1zeUNxqYIGkmMBFYl9ID0+FHtpfangs80lAfkjYGJlAeoB+vqz8paaqkBym9TTs0lDXL9v3LiL2nfmh7vu3FwBWU3pGOcz+tnvc0yoP2FsA8YBZwlaRjKfOOFi+n7M2AiZIeAn4IbChpw4bt1wLYforSg/ZWSju9aHtS3WZKjxvAE5Reu0slHd6prtWAe4BvdCQ3PdTbGLYAtgaurW1zN6VnbevOZVKuR5uk1bqofxgl0f4Hyr29CSWB7TDR9lzbS4AZwK22F9r+C+U69PZ6R0RERAxKLduDQxkq1L4Cx1xm+8zlbH+pYXkJr7bPEGC87cuWU+byfAu4ETig9l78ivIA3mV9NRm7CTjd9uS6bnfgeErPyLOSDqX0snQX+4pobNshwMdtP9F5J0m7UB7KP0Dpnfqw7RnLKO8HwCm2b6i9QC/SfTsst11tz5W0LWX4217AVyS9u25eREko9pd0fU0IoAxVbEzoOycbvYqhbnvO9g5d7PNSjXdJ7UHq6pr8BvhlTXaRZOCTXcTXl9c7IiIiYtBo5R6cycAOkraqnz8F3A+8AGxeEwIoPR0P2p4H/ITSC/JWAElDJe3Yg7puBE7oGAolaYSk7eu224Ej6/r1KN/Ad1gHeKomNx+kDHPrUh36NIEyH2NCp7LmAn+q80uO6kHcvXGQpDfV+g+jDJGCcu7jJA2t8a0v6W11SNZo23faPguYSZm7BOUarN0p9o4J80dTejq68ygwUtIetd4DO8qUNBoYaftnlCF6c4G31+OW1jrmAT+U9Ma6/nHKEMSOuVEbrEwMlF6TFxt7kCRtVZPTFXEN8AFJwyUNAfYB8ga1iIiIiF5q2QTH9rPA4cA1kmZQHsoPq5unA4dImgr8E/WbcNt3USZ+3yjpAcpD+cd6UNeVlLknd9a6pvLqvJ1/BUZJepgyHK7xBQHjgAskTaa8oGBZvRudjaH0ShwmaXr97zTgFspD+qN1eVoPyuqNu4AbgIeA3wGX1PWfo/QQPFCHxv0M2IjyoH+DpBl1CN4zvDo870Lgjhr7OrWMGyTdQxna96fugqlzTw4BviHpfyjzT35bN28M3Fav4QxKe9zXcGy77ROBp2q9q1HmJJ0i6T7KSw86ylqhGOpwvI8CB9c2eIjyMoIVenuc7Xspc5+m13MaBpy7ImVFxOA2bPSGsO7o/g4jImLAGtLe3ttRXgObevC7LxGruPZWmVi4MlppAmWrS1s3V9q7edLWzZX2bp5Wauv6koGupg38lZbtwYmIiIiIiOhs0E1Mrm+8Su9NJ5J2AC5fxqaLbX+3yeGskvTXv3HU4Xrb5zQ7noiIiIjBaNAlOLFstqfz2tdKR5PZ/iO5BhERERGvqwxRi4iIiIiIQSMJTkREREREDBpJcCIiIiIiYtBIghMREREREYNGEpyIiIgW8sKTjzF0znP9HUZExICVBCciIqKFLH72GXj+2f4OIyJiwEqCEytMUrukNXq7bSXrvFzSZ/q63GaRtI6kL/R3HBERERGDVRKciOZaB1ihBEdSfrcqIiIioht5YBqkJO0LnNuwahvgIGAr4PC67pfAZ23Pl3Q2sCWwNvB24HHgINsvdlPVqZI+BKwH/Ivt65YRy87AfwBvAv4C/JPtX9ZtnwFOAv4M3AycaHv9Hp7j+2u5h9ieKen0Ls5tK2AtYAtgKnA+cCHwN8D1tk+rZU6q2/8O2BT4OvB74LNAG3Ca7R/Vfd9Ty1mr1nmm7Z9K2hSYAnwb2BdYHTja9j3AN4B1JE0HXrS9m6RTgIMpf48vAcfXH2ZFUjslIfp74G7gS7UH6MC6/++BY20/05M269DW1tab3VvWqnKeA0HaunnmPP0Ew0eMYFTavClybzdX2rt5BnNbJ8EZpGzfTEkYkHQscCSwiJIA7Aa8AFwBfAk4vR62E7AzMBeYCIwFvtNNVUvrQ/qWwL2S7rb9x46NkoYD1wFH2b5N0l7AdZI2pyQd/wzsYPtZSRf19PwkjQU+B3zY9u8lfaSbc9uxnt98YBolMfkI5W/gSUmX2P513fetwPuADYHHgH+v5/h3wPXAjyStA/wnsK/t/yfpLcAvJb2jlrEeMNn2GTXWrwBjgBOBKbZ3aDid79u+sJ7X3rXcXRq2v8H2nnX7YcDmwC62l0o6npKoje1p2wHMnj27N7u3pLa2tlXiPAeCtHVzjQQWLVyYNm+C3NvNlfZunlZq6xVJxDJEbZCTtA9wCvAxYG/gWtvzbLcDl9R1HSba/nPd9gtgsx5UcSmA7VmUxGGXTtu3BBbZvq3udzsl0doS2BO42XbHbNnv9fC0jgSOB/ay/fu6rifnNtf2EmAGcKvthbb/AszqdK4/sr3U9mzgT8CP6/qpwEaSVqMkUm8Dbqm9MbcA7ZTkA2C+7Zvq8n103ZY7SrpL0kzga8AOnbZf0bC8fz2vabXeEyk9TRERERFBenAGNUnbU3oD9qk9JEMoD+GNGj+/1LC8hPJFYW8sq/xlreuod3nbuvMAsAdl2N19XdTT1bl1/jysu31tL5FE3XcIMMP2Hp2Dq0PUFnZRfuO+w4EJwB62p0lqoww7azS/YXkIMN72ZcsqLyIiImJVlx6cQUrSRpShYYfb/lVdfStwsKQ1a7JzDHDbSlZ1ZK3vbyk9D7/otP1RYESdL9Mxb+aNwK+AScC+kjrm3Hyqh3VOA/4BuErS++q61+PcunIv8Lcd5wVlrlGtuyvzgNUbXhiwGiX5+V39fEI3x98InCBpVK1zRE1kIyIiIoIkOIPZMcBo4GJJ0+twppeAq4DJwIN1v/ErWc9CSf8N3AQc1zj/BsD2IuATwLmSZlBefHCg7UW2HwD+DZgs6W7K3J+5PanU9oPAfsB3Je1j+5bX4dy6qn8OZbjYWZIekPQIcDalh6Wr454HrgYelHSv7XnAmZT5O3dRXsLQ1fFX1uPvrO05lTK3JyJWEcNGbwjrju7vMCIiBqwh7e0rMkIoom9IWtP2C3X5bGBz24f1b1SDXnurTCxcGa00gbLVpa2bK+3dPGnr5kp7N08rtXV9yUB3I2ReI3Nwor+dL2kMMBx4Avh0P8cTERERES0sCU50SdKZwAHL2PShzsPRVoTtE5dR5w7A5cvY/WLb313ZOiMiIiJi8EqCE12yfQ5wTpPrnM5fvyo5IiIiIqJbeclAREREREQMGklwIiIiIiJi0EiCExERERERg0YSnIiIiIiIGDSS4ERERLSQl19+ub9DiIgY0JLgREREtJDFixf3dwgREQNaEpyIPiRpJ0lX1+V1JH2hv2OKiIiIWJUkwYnoQ7an2B5bP64D9DrBkTS0b6OKiIiIWHUMaW9v7+8YIlqSpNWBK4BtgZeBWcA3gQts7yTpp8A+wEzgRdu7LaecPYGLgLuBnYHxwF3A14DtgNWAnwOft71E0jbA94A3AdOBzYHxtm/qYej5o49oYQsWLGDkyJH9HUZERDMN6c3Ow16vKCJWAfsAo2xvAyBpFLB9w/YTgSm2d+hBWe8Ejrf92VrWd4E7bR8j6Q3A1cBRwHeAK4F/t32VpJ2AX/Q28NmzZ/f2kJbT1ta2SpznQJC2bq5Ro0alvZsk93Zzpb2bp5Xauq2trdfHJMGJWHEPAFtJ+gYwCfjpSpT1a9uTGz7vD/ydpFPq59WBpyWtBbwDuAbKkDhJM1ai3oiIiIhBJQlOxAqy/YSkrYG9gI8A5wKfXcHi5nf6PAT4uO0nGldKWpsyxCzDzCIiIiKWIS8ZiFhBkt4KLLF9A3AyMBpYt2GXecDqklbki4QbgXEdLxyQtL6kt9meCzwMHFLXv5syvC0iIiIiSIITsTLeCUyW9ADwP8B5wCsDWm0/T5k786Cke3tZ9ueAJcADkh4EfgZsVLd9EvicpKnAP1KGys1dmROJiNYxbFgGX0REdCVvUYtoMZLeRHkrW3t9o9okYEvbc3pYRHurTCxcGa00gbLVpa2bK+3dPGnr5kp7N08rtXV9yUDeohYxyI0Bviqp44/92F4kNxERERGDWhKciCaRdCOwSafVv7W9f2/Ksf1fwH/1WWARERERg0gSnIgm6W0iExERERG9l5cMRERERETEoJEEJyIiIiIiBo0kOBERERERMWgkwYmIiIiIiEEjCU5EREQLefnll/s7hIiIAS0JTkRERAtZvHhxf4cQETGgJcEJACQ9Jekddfm7knbvZv+zJV3QB/UeIWmLlS2nl3XuL+mrdXlTSZ/utP2VtuhBWTtJurqH+46X9Kiku7vY5zBJMyQtlvSZnpQbEREREa/K7+DEX7F9TF+VJWmY7a6+bjwCeA74VV/V2R3bNwI31o+bAp8GLultOfXcpgBje3jIKcAmtp/tYp/pwMHAuN7GExEREREwpL29vb9jiCaTtCvwVWDNuuo0ygP+frZnSpoEXGD7JklrA/8O7AwsBe62/RlJZwNr2D5V0juBa4DPAL8BpgAXA3sDVwG/BsYDq1GS6i/bvlbSkcD/Af4IzANOtX2bpC8AB9Z9fw8ca/uZ5ZzLvsC5Dau2AQ6y/X8lfQo4oZYzFzje9ixJR9RzPVDSQ8DbKAnWY3XdU8APgDFAG3CR7YtrfU8BlwIfAJ4ArqxttVNDPGfUc10EnGz7vtpr817gQWCi7dO6uUaXA1Ma6t0SuN72tpKGAX8Cxtv+qiQBH7d9aFdlNsgffUQLW7BgASNHjuzvMCIimmlIb3ZOD84qRtK6wI+BA2zfK2kosFYXh1wEzAe2t71U0vqdytur7vO/bD8saVNgPeAR22fXfUYB77W9RNIGwFRJE21/ryYhF9i+qe57GLA5sEut73jgQpbTS2L7ZuDmeuyxwJHAxDrETsAethdK+ghwGSVpaXQiDQlKgw1s71HjvV/SXbZn1G1vsf3+WueeDW2xGfAlYB/b8yRtC9xC6bXZXVI7sJvt+V209zLVxGwtSW+h9Do9BOxFSVT3Am7vTXmzZ8/ubQgtp62tbZU4z4Egbd1co0aNSns3Se7t5kp7N08rtXVbW1uvj8kcnFXPrsDDtu8FsL3E9pwu9t8P+KrtpXX/5xq2fQj4OuWB/uGG9S8Bbvg8GpggaSYwEVgX2HI59e1P6fmZJmk6JQHZtLuTkrQPZQjYx2y/BHwU2B74RS3nfGDj7sppcCmA7T8APwX2bNj2/eUcsw+wGXBXrfNqYFhNkvrCzynJzN7At4GNJQ2vn+/oozoiIiIiWlp6cFY9veri68avgG2BnXh1TgvAX2w3DoP6Vt1+gO12Sb+iDOFaXnzjbV/W0yAkbQ/8JyXR6pjfMgS4zPaZPS2nC0N47bCu5fXADAF+ZvuTfVDnstxOSXDeBhwG7AEcAmD7ydepzoiIiIiWkh6cVc+9wDZ1Hg6ShtYhZMtzE3CapCF1/8Yhak8BHwTOk/S/uihjHeCpmtx8kDIErcM8YO2GzzcCJ3TEJGlETWCWSdJGwHXA4bYbX1TwE+CTkt7acJ47LqOIzvV3OKIeNxr4CDCpi/Pr8F/Ah+vQtI74du7BcT11O6WXaJTtp4HbgP9Nem8iIiIiXpEEZxVj+3ngAOBrkmYAU4FlPfh3OJnyMoKZkh4AXtMjUh+09wL+pb40YFnGARdImkx5ecCMhm2XAF+SdL+kvW1fSRnadWdDfJ3nzTQ6hjIE7mJJ0+t/77d9F2Wy/4017pnAx5Zx/AxglqSZkiY0rP9tfTHAZOA82w92EQMAtn9N6Vm5VNIDkh4BjuvuuEaSDpH0NHAQ8K+Snpa0TS3/aeAF4J66+x3AJiTBiVilDBuWwRcREV3JW9QiVj3trTKxcGW00gTKVpe2bq60d/OkrZsr7d08rdTW9SUDvZpikR6ciIiIiIgYNNLPHS1B0pmUoXWdfcj2H5sdz8pYxm/3dPiX+trriIiIiFhBSXCiJdg+Bzinv+PoC42/3RMRERERfStD1CIiIiIiYtBIghMREREREYNGEpyIiIiIiBg0kuBERERERMSgkQQnIiKihbz88sv9HUJExICWBCciIqKFLF68uL9DiIgY0JLgRLQASW2SflcdYSoAACAASURBVN7fcUREREQMdPkdnIgWYHs28P7+jiMiIiJioBvS3t7e3zFEDBiS9gXObVi1DXAQsBVweF33S+CztudLOhvYElgbeDvwOHCQ7Re7qOOAWsfzlB/8/FdgTWB9YIrt9et+m3Z87rS8zBht/98enmb+6CNa2IIFCxg5cmR/hxER0UxDerNzenAiGti+mZJ0IOlY4EhgESW52Q14AbgC+BJwej1sJ2BnYC4wERgLfGdZ5Ut6c922m+1Zkr7QRzFO7E0Zs2fP7m21LaetrW2VOM+BIG3dXKNGjUp7N0nu7eZKezdPK7V1W1tbr4/JHJyIZZC0D3AK8DFgb+Ba2/NstwOX1HUdJtr+c932C2CzLoreBZhme1b9fElfxGj7pRUtJyIiImIwSYIT0Ymk7YH/BPa3/SylW7TzsK7Gz43JxRK67hntqot1Ma/9m1ytFzFGREREBElwIl5D0kbAdcDhtn9VV98KHCxpTUlDgGOA21awisnAuyT9bf18TMO2Z4A3Stq8fj60FzFGREREBElwIjo7BhgNXCxpuqTplB6aqyjJyYN1v/ErUrjtPwKfBn4i6V5Kr03HtsXAScCtkiZReoN6FKOkvGEtYhUxbFimz0ZEdCVvUYvoZ5LagTVtz29Sle2tMrFwZbTSBMpWl7ZurrR386Stmyvt3Tyt1Nb1JQO9eotaenAiIiIiImLQSD93xOtA0pnAAcvY9KE6TO0Vtnv1rURERERELF8SnIjXge1zgHP6O46IiIiIVU2GqEVERERExKCRBCciIiIiIgaNJDgRERERETFoJMGJiIiIiIhBIwlOREREC3n55Zf7O4SIiAEtCU5EREQLWbx4cX+HEBExoCXBiXgdSdpU0nN9WN6ekqb0VXkRERERg00SnIiIiIiIGDSGtLe393cMEX1G0r7AuQ2rtgEOArYCDq/rfgl81vZ8SWcDWwJrA28HHgcOsv3icspfHbgC2BZ4GZhlW3XbUcBJdddFwH7ASGAK8G1gX2B14Gjb90gaBvwUWK/u9z/AcbYX1fL+GTgUWAr8BXgvsAdwEfALYFegHTjY9iO9aKb80Ue0sAULFjBy5Mj+DiMiopmG9GbnYa9XFBH9wfbNwM0Ako4FjqQkG4cDuwEvUBKULwGn18N2AnYG5gITgbHAd5ZTxT7AKNvb1DpG1X/3BP4FeK/tZyStASymJC7rAZNtnyFpLPAVYAywBDjU9p8kDalxHQX8p6RPAfsDY2zPk7Se7aWSoCRXR9o+TtIZwBdrzD02e/bs3uzektra2laJ8xwI0tbNNWrUqLR3k+Tebq60d/O0Ulu3tbX1+pgkODEoSdoHOAXYHRgHXGt7Xt12CfD1ht0n2v5z3fYLYLMuin4A2ErSN4BJlB4YgL8Hvm/7GQDb82t5APNt31T3uw+4sC6/AThV0keAocAooKPnaD/gWx0x2/5TQwyzbN/fUN5Hu2uPiIiIiFVF5uDEoCNpe+A/gf1tP0vp1uw8LKvx80sNy0voIvG3/QSwNXArsDfwgKTV6LrrdOFyyj+UMuxsd9vvBL4JrFa3dVVej+ONiIiIWNUkwYlBRdJGwHXA4bZ/VVffChwsac06FOwY4LYVLP+twBLbNwAnA6OBdYGfAJ+UtEHdbw1JI7opbh3gOdsvSFqbkvB0+AlwvKQ1a3nrrUi8EREREauafPMbg80xlKTj4jo8DEoichUwuX6eAoxfwfLfCZxfyx4KnGd7NjBb0nnAbZKWUnptuhs69n3gY5IeAn4P3E2Zs9OxbSPgPkmLgRck7bGCMUfEIDJsWP7XHRHRlbxFLWLV094qEwtXRitNoGx1aevmSns3T9q6udLezdNKbV1fMtCrt6hliFpERERERAwa6eeOWAZJZwIHLGPTh2z/sdnxRERERETPJMGJWAbb5wDn9HccEREREdE7GaIWERERERGDRhKciIiIiIgYNJLgRERERETEoJEEJyIiIiIiBo28ZCAiIqJFDJ3zHC8sfBFGrN7foUREDFjpwYmIiGgVzz/L4mef6e8oIiIGtPTgrCBJZwNr2D51AMQyCbjA9k292Va3bwpMsb1+H8WyJzDc9n/1RXkN5R4B7Gf7wC72uZxyLhf3Zd29iWElyr4BeBuwFJgPfNb29L6uJyIiImKwS4ITfW1PYA2gTxOcVcCnbM8FkPQx4DLg3f0bUkRERETraYkER9KHgfOAocCzwHHAW4GvA9OA7YHFwBG2H67HfAo4gXKOc4Hjbc+q38IfCswB3gH8GfiE7WfqcV8ADqzH/R441vYzktYGLgW2AX5b4/hDN3FfDWwJjAAeA46yPaf2clwE/ALYFWgHDrb9iKQzgQNqEcOBrYF1gJ2A8cBqNbYv2762obr3SRoHtAG2Pa5HjftqrBcAewAjgRNs313X7wucUetdBJxs+z5JWwKXA6tTrsvlwETgH4E3SNobuBa4APgpsF4t+3+A42wv6upaSBoO/B9KwvR74NGGWHcDLqYMsXwjMN72Dzqdz/uB/wAOqW33Ss9LY0/MisZQy1nevXI25bqvDbwdeBw4yPaLy2v/juSmWpvSk9NRTzvwReDjtR2PBfYGPlzP/yDbjyyv7GVpa2vrze4ta1U5z4Egbd0cc55+Akh7N1PaurnS3s0zmNt6wCc4kt4MXAm8z/bDko4GrgZOB7YD/sn2nTWh+T6wk6TdAQF72F4o6SOUb8TH1GJ3Braz/TtJ3wE+C5wh6TBgc2AX20slHQ9cCIwFzgTm2d5G0vqUxMrdhH+S7efqeYyvMXckHtsCR9o+TtIZlAfYsbbPAc6px1wJTLQ9V9I04L22l0jaAJgqaaLtObW8TSgJyprA45Iutf3rHjbzesAM26dKeh/wA0mbUZLILwH72J4naVvgllrXCcDNtv+1xjqqJm//ScPQPUlDgEP9/9m782i5qjrt49+YGGiQIUhEAyqICoICNoMMgkEiIAK2vPAABpTYOIDYijI1tIhKK3RQaV5UGkFBkcYHUF9EkJYghIaADBkMwYBg1IBoQiIhYhKT3PePvS9ULnfMULl17/NZK+tW1dlnn9/5VWWt86u99yn76fr4SuBDwCXdvReUInYrStHxUmAiMKvuczrwNdvfq31u1HgyksYCnwIOtP2EpF16OP8+x9DDZwVKUbUrpbi+pb7+re6CkHQZsD8whFK8NPqL7V0lHQH8P+BI2/9ai6yzgGN6OMcVPPnkk31p3pJGjRo1KM6zP0ium2fo4sUMX2ed5LtJ8tluruS7eVop1ytTiPX7Agd4GzC1fWQG+A7wDcqF/G9s31Ff/x5wqaQNgUMoozr3SoJywTiioc+7bP+hPr4HeFd9fCjlwvTBul/76A/AvpQLX2zPlfTDXsT+gXqxPRxYH3ikYdtM25MbYjikcUdJX6RM9fpgfWkk8G1Jb6CMVm1CGSW4p26/1vZy4BlJDwNbA70tcJYAV9Vzu0PS32rfb6/9TKz5ABhWC6yJwAV1lOMX9V9nXgKcUovMoZT3oXEko6v3Yl/gStt/B/4u6aoaD/VY/yrptcDPbd/b0N844G/AfrYX9PL8VyaG7j4rUArTvwBIupeSx27ZPr62PxYYDxzUsPkH9e+DQJvtn9bnD/DCiF9ERETEoNcKBc4QyhSuvu7zbdtnd7F9UcPjZbyQhyGU6U7f7qLPXqujSCcAe9qeI+n9wEd6EQOSxlEusvetRQvAN4EbgMNst0l6hDJtrMf+VkJ7zocAP7P9gU7aXC9pEmXE4QzKqExnowjvpxQFe9t+VtKZwBt7EXeX+bZ9oaSfUKZp/V9J/2P73+rmqZSRrO14ofhbyop3DGzM20rFQPeflc76/Idu+lpBHZm6VNLLbT/dob9lwOIu4o2IiIgY9FrhNtGTgJ0kbVuffxCYDDwLvL4WElAupH9Vv7X/CWX0ZAsASUMl7dyLY90AnChpRN1vHUk71m0TKKMDSHo58L4e+tqY8o3+05LWoRQAPaprV84ADrX9tw79zarFzbso06NWl+GU/LUXZusCMyk3CjiwTk1rj2/X+vf1wFO2rwA+D+xWmyxgxSljGwNza3GzUftxemECcKykYZL+oXE/SW+0/Zjt/6Ksw9qtYb8HKe/NVXW6HZQ1MDvU93M4Zd3MKsVA95+VPpH0Mkmvbnh+CDCv/ouIiIiIPuj33/zW0Y9jgaslDaMs7j+Gsj5kCnC0pAsp32R/oO4zsa5ruUHSUMoF/LWU6TzdHet7dX3NHXXa0Uso0+GmAl+kTBGbQVmH0dNdwm6ucf4amA3cz4oX4l05i3oXsoZpYXtTip5v1BsJTKv/VpengTfUqVTrAUfbXgI8WteaXF4v8IcDdwH3UdY4jZW0hDLa88na148oRcEUyk0Gvgm8V9JDlIX4d9K70YxLKWusHqLk7w7KehiAf6k3EVhCGc34ROOOtn8l6WDgJ5JOsn2LpFuB6cBvgYeBV61KDD18VvpqfeBaSetTPsfzgENs93XkMiIGuk1GMmy9/MhnRER3hrS1teY1lMqdyC6w3dMC8ohYUVurLCxcFa20gLLVJdfNlXw3T3LdXMl387RSrutNBvq0VKQVpqhFRERERET0Sr+fotYV27dT7mK1VmnF361ptL/tPzc7nq7U2zfv3uHlpRkBa55W+axEREREtLKWnaIWESstU9RitUqumyv5bp7kurmS7+ZppVxnilpERERERAxqKXAiIiIiImLASIETEREREREDRgqciIiIiIgYMFr2LmoRERGDydD5c2HeHJ5d/Byskx/7jIjoSkZwIiIiWsG8OSw573SWznlqbUcSEdGvpcBZzSTNkvTm+vgySXv30P4cSReshuMeJ+mNq9hHm6SXrWosta+dJGl19NWh39GS7u+hzWrJ6arEsAp9nyJppqTlkg5eE8eIiIiIGMhS4KxBto+3fefq6EtST9MJjwNWqcBZzXYCVnuBMwjcAbwHmLi2A4mIiIhoRVmDswok7QGMBzaoL53aYfvtwAW2b5S0EfA1YFdgOXCn7ZM6tH8LcDVwEvA74H7gYmAMcJWkR4FzgXUp792/275G0jhgF+AiSecCp9i+VdJpwOG17RPAh233NLfhFEn7Ay8HzrR9fY3tbcB5wIa13dm2fyrpFTXmzerrt9YYvwBsKGkKMNH2v0j6PrANsA7wG+BDtudLGg1cCNwL7AG0AUfZfrge+1zgqHoOv2zI1zbAFcB6wFDgCtsrjNx0yOmQ+n7sUreNbn++sjHUbR8ETqx5fgY4wfZMSccB7wfmA28G/gL8n+7eA9v31T5XeF3SAcC/2H5PzfmfANm+tr7PG9s+s6t+O6o/mjXgDZbz7A+S6zVv/uzHWVIfJ9/Nk1w3V/LdPAM51ylwVpKkTYAfAYfZvlvSUF64+O/MhcBCYEfbyyVt2qG//WqbI23PkLQlpch42PY5tc0I4O22l0naDHhA0i22v1Mvsi+wfWNtewzwemD3erwTgK8AY3s4teW296zFw92S7gSWAJcAB9n+o6RXAffVqXhjgd/ZHtMeYy1azgYOtn14Q9+ftD23tjsXOB04o27bHhhn+6OSzgL+DRgr6RDgUMqI0N+AHzf0dyJwk+0vNuSnu5yO7uHc+xxDnYIoYB/biyW9G/g2sFdtsiuwg+0/SPoW8AngrB7i6MydwNWSXgrsB0yqf6+tf/+jL521yq8Xr4pW+pXmVpdcN8fQxYuff5x8N0c+282VfDdPK+V6ZQqxFDgrbw9ghu27AWwvA+Z3s+zkYGBn28tr+7kN2/YHDgT2t934aVsEuOH5SODbkt4ALAU2oYyI3NPJ8Q6ljOo8WGNqH13oyeU1vpmSHgR2r8faCri54fzaKAXUPcCnJY2nTK+6pZu+PyBpLDAcWB94pGHbTNuT6+N7gEPq432BH9heCCDpckrhAWUa1wWShgO/qP/adZXT7qxMDIcAOwL31twMARoLrbts/6Ghz3f1MpYV2H5O0kPA2ygjel8Axtdz3wW4a2X6jYiIiBhoUuCsvCGrsa9HKKMHuwA3NLz+V9ttDc+/WbcfZrtN0iOU6WpdxXeu7W+vQlxDKIXMEGCa7X06ayRpJ8qF+7GUEZm3d9Jmb+AEYE/bcyS9H/hIQ5NFDY+X8cJns8s8275e0iRKMXMG8CHgmLq5s5wuZcV1Zx1z1+cY6rZv2z67i+1d9bkyJlBGa3an5PJPlClwU20v6m7HiIiIiMEiNxlYeXcD29V1OEga2nGKVAc3AqdKGlLbN05Rm0UpEL4s6chu+tgYmFWLm3dRRlDaLQA2anh+A3Bie0yS1pG0Yy/Oa1xt/wbKlKx7Kef6Bkn7tjeStKukIZK2AhbYvgb4NLCzpJd0Es/GlBGkpyWtQylGemNCOZzWr9MAxzXE8HrgKdtXAJ8HdmvYbxYvzulvgddJGlHfh6NXNQbgJ5SRqS1qTEMl7dzLfvtqQj32H2wvqc/PqX8jIiIighQ4K832POAw4KuSpgEPAN1d2J5MuRnBdElTgRW+8bc9m/Lt/Jn1pgGdOYMyJWsS5eYB0xq2XQp8VtJkSWNsfw/4PnBHQ3x7vajHF1ss6S5KQfZR23+2PZ8y5e1zkqZKephyYT0EGA1MrjcTuBn4WJ2GNwFYv7a/qG57DPh1ffxgL2Khrim6EZgC3AZMbtgs4FeSJgP/F/hkh31XyKntJyjrkB6g3Azhj6sag+2JlDU1N9T3dTrw3t702xlJp0qaTZkCeYWk2ZLa13bdC2zKCwXNBOC1NaaIGOg2GcnwM85n2MhXru1IIiL6tSFtbW09t4qIgaStVRYWropWWkDZ6pLr5kq+mye5bq7ku3laKdf1JgN9WhqSEZyIiIiIiBgwcpOBQabevvmwTjbtb/vPzY5nMJJ0POV3eTo6zvaUZscTERERMZCkwBlkbH+BcovhWEtsXwZctrbjiIiIiBiIMkUtIiIiIiIGjBQ4ERERERExYKTAiYiIiIiIASMFTkREREREDBi5yUBEREQLGDp/Lsybw7OLn4N11lvb4URE9FsZwYmIiGgF8+aw5LzTWTrnqbUdSUREv5YRnE5ImgUcbHu6pMuAK23f2U37c4CX2T5lFY45GrjA9i4r28fq0t35rI5zXRNxdWh3BXC/7Ys7vL4l5fd+Ll1TMa4sSWcBRwLLKL/W+2XbP1i7UUVERES0nozg9MD28d0VN7HyJDW7wN4S+EiTj9lbF9vewfZbgYOAb0kasbaDioiIiGg1g34ER9IewHhgg/rSqR22304ZWblR0kbA14BdgeXAnbZP6tD+LcDVwEm275B0EHAWsC6wBDjZ9j217bnAUcATwC97EetnavthwCLgBNdfvpfUVo/zPuDlwKm2r6/H/1JDN9sBRwD3Av8NbFhj+6nt0xrabS7pJuB1wGPAEbaf6ynGGsus2vdewCjgwvbRlLrtcuCdwOPAP0s6HTi27n4f8AnbC2u+L68x/x6YA/yp9nMFDaM03Yza7AtcBBwNfB3YStIU4De2D6/xfBd4F/Aqynvd3uc2wIXApsDweh7fkfRRYAfbH5e0W83lbrbvk/QNYApwFXAlsD3wd2CmbXWVM9vPNDx9GdBG/QKifgYfAHajFGn/SfnMfKLm91Tb13bVd2dGjRrVl+Yta7CcZ3+QXK9582c/zpL6OPlunuS6uZLv5hnIuR7UBY6kTYAfAYfZvlvSUMoFf1cuBBYCO9peLmnTDv3tV9scaXuGpK2BzwIH2F4gaXvgZuA1kg4BDgV2Av4G/LgXIX/X9lfqscYAlwC7N2xfYHtXSXsBBq63fRNwU93nw8A44Jba/pBaSLwUuEXSgbZ/VrftQinknqntxwLf6kWM7TazvY+kzYDJkibanla3vcr2vjWmd1OKmz2BZylFwWeB04Gz6zltV3P9YD2vXpE0FvgUcKDtJyR9nM6nAa5ne486hW16LZYWUQrVsbZ/LWkD4H5Jk4AJwMl13/2ASfXvffXvV4ADgBG2t6ux9DgaI+ljNd5XAx+y/XTD5i2AdwCvBH4DfM32nrXA+iHQpwLnySef7EvzljRq1KhBcZ79QXLdHEMXL37+cfLdHPlsN1fy3TytlOuVKcQG+xS1PYAZtu8GsL3M9vxu2h8MjLe9vLaf27Btf8o36wfYnlFfOwDYGphYRw2+DwyrF/37Aj+wvdD2MspIRU92ljRR0nTgq5TiqNE19e89wChJ67ZvkHQA8BngvbYXAUOB8ZKmUkYH3tyhv1ts/8V2G2WEYutexNfocgDbfwJ+Coxu2PbdhsdjgGtsL6jHurS+BiVH7f3MpVzI99Y44ARgP9tP9ND2mnqMWcB8SjHxRuBNwDX1vbsTWAd4k+3fAP8gaQtKQfOvwH6SXg2sY/sxYCqwraSvSzoCWEwPbF9ie1tK0XqWpJc3bL7W9nLbTwJPUwpzKO/d5o3vdURERMRgNtgLnCGrsa9HKEVD4+jAEOBntndq+DeqXvT36diShgPXAZ+y/WbgQMoFd6NFUAq1+nxY3XdHymjPobbn1G2fBkYAb7O9A2UEad2OfVXLWLXRviGUKVftFnazjYbn3eVoKSt+fjte4E+ljHZs14v4OjvXIcDcDu/dlrbbC4vbgPdQRqruoExve099HduPUwqkn1MKtqm9LUJs/wp4khWLwo4xdvpeR0RERAx2g73AuRvYrq7DQdLQHqYS3QicKmlIbd84RW0WZR3HlyUdWV/7H+DAOjWNus+u9eGE8lTr16lx43qIdV3KRewf6vMTezq5erzNgeuBY20/0rBpY+CPthfVNu/tTX99cFw9/kjg3cDtXbT7OXCUpA1qXo8Hbq3bJlDzUkcz3tew32OUKXRIehVltKfRg7X9VZLeUV9bAGzUy/hnAs9Jal8bhKRtJbVPYZxAGbm5qz6/Czijvk4d3Vlm+8eU6WwjgU26OpikNzU83gp4KzCjq/YRERER0blBXeDYngccBnxV0jTKdJ+du9nlZMrNCKbXqV1nd+hvNmXK0pmSxtl+FDgGuFzSVEkPAx+tbW+kFExTKN/6T+4h1gX1ePdJmgj8tZeneTzl4vpiSVPqv/aF93tJmgx8k3phvhr9XtKdlPUpX66jEi9i+2bKgvxJQHubc+vfLwIjJM0AvkcpGNtdCmxR34eLKNPoOvb9K8q0wsvqFL1pwExJ0yVd113wtpcCh1CKr2mSHgK+QbnZAJT37LW8kLcJ9flt9flbgEk1vl/WHHQ32fXzkh6q0+GuA/7F9sPdxRgRg8wmIxl+xvkMG/nKtR1JRES/NqStrePsoIhV0/g7Qms7luhUW6ssLFwVrbSAstUl182VfDdPct1cyXfztFKu600G+rS0Y1CP4ERERERExMCShcn9TCe/W9PuzHrL535B0vHASZ1sOs72lk0OpyW0ynsbERER0coyRS1i8MkUtVitkuvmSr6bJ7luruS7eVop15miFhERERERg1oKnIiIiIiIGDBS4ERERERExICRAiciIiIiIgaM3EUtIiKiBQydPxfmzeHZxc/BOuut7XAiIvqtjOBERES0gnlzWHLe6Syd89TajiQiol9LgbOKJH1M0smruc82SS9bnX2uZByjJd3f121rWm+PLek4Sdd1se0cScNXf3SrRtJOku6S9FxXsUdERERE1wZVgSNptU/Js32J7a+t7n4HkzXxvvTC54B+V+AAfwY+DazWojkiIiJisBjwa3AktQGnAe8B7gQ+K+k04HDK+T8BfNj2U/Ub/S8BBwLLgMdtv6/209U+5wAvs32KpEeBw21Prft8AvhH2+MkbQNcCGxKubC+0PZ3arvD6nHnAT3+or2k/YBzgXVrPP9u+5q67XbgPmAPYBRg22dIegXwPw3dvAa40vbJkr4PbAOsA/wG+JDt+bXdMEn/VftrA46y/XCPiS+xXAH8HdgKeDUwEfi47SV127PAG4CRwM6SDgS+DAwF5gAftf2b2te5wFGU3P+y4RjHAQfbPryz5w3tXg38CPgP4B315bslLQdGU96bRcAba6yTgA/abpO0IfBVYIea819QipDXAz+0vX0t0p4GzrU9XpKAf7L9fkmfA46u/bcB+9r+S2c5s/0k8KSkN3WSzyeAt9r+s6SbgDbb76nv7WTbm3f+TrxY/dGsAW+wnGd/kFyvefNnP86S+jj5bp7kurmS7+YZyLke8AVO9RLbowEkHUO5MN3d9nJJJwBfAcYC/wq8jlKULJG0aS/2afRd4IOUi1+A44CT68Xv1cBY27+WtAFwv6RJlKLmW8CetmfWQqonDwJvt71M0mbAA5JuaShKXgPsA2wAPCbpctuPAjvV83krcD1wcW3/Sdtz67ZzgdOBM+q27YFxtj8q6Szg3zo57+68DdiTcnF/E/CRhuPuAbzD9l/rRfr36vMZkv4Z+D7wNkmHAIfW+P8G/LgPx0fSjrWvE21PBCzpRErOF9Y2AG8GxgDLgcn18c8pxc0dto+X9JLa14dsf0vShpJeBWwJPATsB4yvfydIGgGcArzC9t/qe/+3vsTf4BfAOyVdX483RNJL67Fu60tHrfLrxauilX6ludUl180xdPHi5x8n382Rz3ZzJd/N00q5XplCbLAUOFc2PD4U2AV4sF7UDgOeqdsOBj5jewlA+0V/D/t0PM69tUjZFtiIMmr0pvrvmro/lNGSN1FGih60PbO+filwfg/nMxL4tqQ3AEuBTSgjMPfU7dfaXg48I+lhYGvgUXh+JOM6SrH1WG3/AUljKSNL6wOPNBxrpu3J9fE9wCE9xNbRDxqKiCuB/8MLBc51tv9aH78NmGp7Rn3+HeAbtSDYt0M/l1MKrd7YAfghZVSnp5GnH9teVI/xICVvP6e8/7tJ+kxttx4wuz7+BaXA2Ar4L+C0OhI4BjgPWADMBK6S9DPgRtvP9jL2jm6r/T4B3AsMoeRtDDBhJfuMiIiIGFAGS4GzsOHxEMo0om930m5IF/t3t8/zbP9e0gzg3ZRpT1fWKU5DeMSydwAAIABJREFUgLm2d+q4j6T39uYEOvgmcANwWO3/EcrUqXaLGh4vo77PdarVjcDptifV1/YGTqCMZsyR9H7KKEu3fa2kIZQpWu06vi9tdK6r9wVKgde4lmzdDttnU0ayRgM9FThdnesQynSzxzvZZwIvFDjHUEbOjgaw/VsASbsDewHvpIy2HWh7Wg+xdGYC8FnKOU2oce1X/31+JfqLiIiIGHAG1U0GqhuAE+vUISStU6cwAfwE+FT73bXap6j1sE9HVwDHUy5y20eOZgLPSTq2vZGkbWvBMQl4ax2Noe7bk42BWbW4eRdl+ly36jS564Dv2W68O9fGlNGopyWtA3yoF8fviyMkrV+PfwxlxKMzk4CdJG1bn3+Qsq7kWcrFvGo/Q4FxDfs9BuxQ35PhlHVSjeZRRjiObRiBgbL+Z6NensMNwBn12EjaVNJWddsE4ABghO3ZwK2UYuO22nYDYKTtO2x/DphOmQrXZ7Z/Rym8PliPeytlGuTfbf9+ZfqMiIiIGGgGXYFj+3uUNRR3SJoGPED5dh3KlKJZwBRJU4BLerFPR9dTRgtmtF902l5Kmdp1lKRpkh4CvgEMt/1nyojJTyTdTRmR6MkZwAV1Dc/hQG9GA/aifNN/jKQp9d+pwM2UIuHX9fGDveirLyZS1sw8BPyBMgXvRWzPAY4Frq45Pqb+w/aNlJGnKZTCYXLDfpMoF/rTa5sXjdLYfgbYHzhE0tn15a8At9U8bNzDOXyKUlhMlfQr4GfA5rXv2ZRi6X9r29soa6Da18RsBPy4vu/TgacoU+Y6JWlLSbMp634OkjS7rkdqNwF4zvYfbf+Rsp6nT+tvIqJFbTKS4Wecz7CRr1zbkURE9GtD2tq6mhUUsWrqndLut31xT22jqdpaZWHhqmilBZStLrluruS7eZLr5kq+m6eVcl1vMtDdcoUXGXQjOBERERERMXANlpsMtJxOfrem3Q9tf6HZ8XRF0k6UdUcdXWz7uOZG0xpa5b2NiIiIaEUpcPqpujbnRXdd629sT6EF4uxPWuW9jYiIiGhFmaIWEREREREDRgqciIiIiIgYMFLgRERERETEgJECJyIiIiIiBozcZCAiIqIFDJ0/F+bN4dnFz8E6663tcCIi+q2M4ERERLSCeXNYct7pLJ3z1NqOJCKiXxtQBY6kWZLeXB9fJmnvHtqfI+mCVTzmaEn3r0ofq0t359Obc23M32qIZUtJH1kdfXXS79we2hwn6brVfey+xLAKfR8jaZqkpZJOWhPHiIiIiBjIBuwUNdvHr+0YBrktgY8Al67lOFrNFOAo4Iy1HUhEREREK2rZAkfSHsB4YIP60qkdtt8OXGD7RkkbAV8DdgWWA3faPqlD+7cAVwMn2b5D0kHAWcC6wBLgZNv31LbnUi5CnwB+2YtYP1PbDwMWASfUH8hEUls9zvuAlwOn2r6+Hv9LDd1sBxwB3Av8N7Bhje2ntk9raLe5pJuA1wGPAUfYfq6nGBuMlbQXMAq40PbFNc5tgAuBTYHhddt3JK0HXAlsD/wdmGlbwNeBrSRNAX5j+/A6gvSOuv9c4EO2fydpS+B+4L+Ag4D1gH+2/b/12B8HTgb+CNzekNdXUN6zzepLt9o+ufFkJL0a+BHwH5T36n7bm9ZtW7Y/X9kY6rZOPyuSRtec3QvsAbQBR9l+uKvk255e+1ze4RjbAD+0vb2kYcDTwLm2x0sS8E+2399Vvx2NGjWqt01b2mA5z/4guV7z5s9+nCX1cfLdPMl1cyXfzTOQc92SBY6kTSgXrYfZvlvSUMoFf1cuBBYCO9peLmnTDv3tV9scaXuGpK2BzwIH2F4gaXvgZuA1kg4BDqX8Ev3fgB/3IuTv2v5KPdYY4BJg94btC2zvWgsLA9fbvgm4qe7zYWAccEttf4jthZJeCtwi6UDbP6vbdqEUcs/U9mOBb/Uixnab2d5H0mbAZEkTgRmUQmKs7V9L2gC4X9Ik4E3ACNvb1VhH1H4+Tikwd2no+zzbp9R2xwPnUwo/KMXdJNtnSRpbt+0laQdK8fBW23+S9I2G/sYCv7M9psOxqc93BL4PnGh7Yi1iutPnGLr7rNQm2wPjbH9U0lnAv9W4+8T2TEkbSnoVZXTsIWA/SpG/HzChL/09+eSTfQ2h5YwaNWpQnGd/kFw3x9DFi59/nHw3Rz7bzZV8N08r5XplCrGWLHAo34bPsH03gO1lwPzyRXanDgZ2tr28tm9cP7E/cCCwv+32d/oAYGtgYkOfw+pF/77AD2wvBJB0OeWitTs7SzoT2IQygvTGDtuvqX/vAUZJWtf2otr/AcBngL1tL5K0PjBe0p7AEOCVlGKrvcC5xfZf6r731vPoi8sB6oX8T4HRwFJKIXNNQz7Wqa9NBbaV9HXKyMZPu+n73XUk5GW8+LO30PaNDXn4Sn08mjJK9af6/FJADe0+LWk8cAcvFIAAOwA/BA7ubsRkNcTQ3WcFyojW5IY+D+llLJ35BaWY2Yoy0nSapOHAGOC8Veg3IiIiYsBo1QJnyGrs6xHKt+y7ADc09P8z2x/o2FhSn45dL0CvA/ax/aCkUZSpbY0WQSnU6kXysLrvjpTRngNsz6ltPw2MAN5WC55LKVOjVuirWgb8Q1/i7WAIZVrVEGCu7Z06ayTpTZQL73cDX6rT/Tq2eS11mqDt39YC7eqGJosbHi/jhc9ml/m2PUnSTsC7gGMp61beXjfPpkxfHA20FzhLWfHGGo15W6kY6P6z8iZe/H6syv+5CbxQ4BwD7AMcDWD7t6vQb0RERMSA0ap3Ubsb2K6uw0HS0I7Tkzq4ETi1vTjpMEVtFuUC+cuSjqyv/Q9wYJ1uRN1n1/pwQnmq9evUuHE9xLou5aL2D/X5iT2dXD3e5sD1wLG2H2nYtDHwx1rcbA68tzf99cFx9fgjKQXL7cBM4DlJxzbEt22dMrUFsMz2jylrVEZSRqoWABs19LshZX3KU5JeAnysl/H8AjiorrcB+OeGGLaiTO+7hlL47Vz7BphHGdk4tq6BAngKeKmk19fnvV2z0mUMdP9ZWd0mUEaMRtieDdwKfB64bQ0dLyIiIqLltGSBY3secBjwVUnTgAeAnbvZ5WTKt/nTJU0Fzu7Q32zKN+NnShpn+1HKN+SXS5oq6WHgo7XtjZSCaQrlwnIy3bC9oB7vvrqe5a+9PM3jKcXCxZKm1H/7AhdR1oVMBr5JH9de9MLvJd0JTAK+bPtXtpdSplYdpXIL44eAb1BuFvAWYFLN6y/rPk8C04CZkqZLus72r4BrKWtHbgN6NeJgexrlZgt31bgaR79GU9YJTaGse/lY+zTEuu8zlCmIh0g6u57HJ4Gfq9yEYtmqxtDdZ2VlSDpa0mzKDSW+KGm2pO3qsWYDzwL/W5vfRlnrkwInYjDYZCTDzzifYSNfubYjiYjo14a0tbWt7RgiornaWmVh4apopQWUrS65bq7ku3mS6+ZKvpunlXJdbzLQpyUiLTmCExERERER0ZlWvclAv6MX/25NuzPrLZ/7hXp75pM62XRc+2/zxJrVKp+ViIiIiFaUKWoRg0+mqMVqlVw3V/LdPMl1cyXfzdNKuc4UtYiIiIiIGNRS4ERERERExICRAiciIiIiIgaMFDgRERERETFg5C5qERERLWDo/Lkwbw7PLn4O1llvbYcTEdFvZQQnIiKiFcybw5LzTmfpnKfWdiQREf1aCpx+TtIsSW+ujy+TtHcP7c+RdMFqOO5xkt64qv2sCZKukNTZb/l0bHe7pIM7eX0nSVoz0a0aSadImilpeWexR0RERET3UuC0ENvH275zdfQlqafpiccBTSlwehHL6rYT0C8LHOAO4D3AxLUdSEREREQryhqcfkTSHsB4YIP60qkdtt8OXGD7RkkbAV8DdgWWA3faPqlD+7cAVwMnAb8D7gcuBsYAV0l6FDgXWJfyWfh329dIGgfsAlwk6VzgFNu3SjoNOLy2fQL4sO0u50pIagM+D+wPvBw40/b1DdtOo1zM3ynpHOB84MC6+8+A020vk7Q58F1gU+C3NHxuG3PS2fOGdkcBn6nxfwHYUNIUYKLtf6nxnAW8r8Z6akOsbwPOAzas3Z1t+6eSvgzMsz2+jghdA7zS9p8l3QRcCEyp78Fmdd9bbZ/cVc5s31eP2TGXBwD/Yvs9kl4B/AmQ7Wvr+7Kx7TO76rej+qNZA95gOc/+ILle8+bPfpwl9XHy3TzJdXMl380zkHOdAqefkLQJ8CPgMNt3SxrKCxfUnbkQWAjsaHu5pE079LdfbXOk7RmStqRcuD9s+5zaZgTw9lpEbAY8IOkW29+R9EFWLByOAV4P7F6PdwLwFWBsD6e23PaekrYB7pZ0p+0/120vsT269n8CZWTlH+u2m4GPAN8ELqIUIp+X9DpgKqUA6pVaAOwPjLH9jKSzgYNtH96h6QLbu0raCzBwvaSNgUuAg2z/UdKrgPvqtMEJwCmUonQ/4B7gnZKuB94G/C/wUeB3tsfUWEb0Nu4O7gSulvTSeqxJ9e+19e9/9KWzVvn14lXRSr/S3OqS6+YYunjx84+T7+bIZ7u5ku/maaVcr0whlilq/ccewAzbdwPYXmZ7fjftDwbG215e289t2LY/8J/AAbZnNLy+iHLh3m4kcJ2k6cAtwCbANl0c71DKyM+DdeTj48CWvTivy2t8M4EHgd0btl3Z8HgMcIXtJbaXAN+prwHsC1xW+3mcUlj01jn1mAfZfqaHttfUv/cAoyStC+wJbAXcXM/7ZqCNUuzdBewmaTiwF2VkaEw93q9sP1f72l/S+LqmZmEfYn9e7eshSuE0ph5rr3rsXWosEREREYNeRnD6jyGrsa9HgO0pF743NLz+V9ttDc+/WbcfZrtN0iOU6WpdxXeu7W+vQlxDKMVBu4XdbKOT551ZyoqFesf47wHeBbwWeLSHvhZBKS7rFLFhNa5ptvfpbAdJU4GjgT8Cv6CMas0Gbqt9TZK0U43hWOAM4O29OK/OTKCM1uwOnECZpvZ+YKrtRSvZZ0RERMSAkhGc/uNuYLu6DgdJQ3uYznQjcKqkIbV94xS1WZQL6i9LOrKbPjYGZtXi5l2UUYl2C4CNGp7fAJzYHpOkdSTt2IvzGlfbv4EyBe3eLtr9HDhO0kvrNKwPArfWbbc19LMV5SK/3WOUdUhI2q4eo9HPKMXATZK27+LcunM38AZJ+7a/IGnX9rxTio7PAxNsL6YUN8fV19vjXWD7GuDTwM6SVvb/3QRKHv5QR7kmUEao+jKiFRERETGgpcDpJ2zPAw4DvippGvAAsHM3u5xMuRnB9DqKcHaH/mZTCoEz600DOnMGcIGkSZTF99Matl0KfFbSZEljbH8P+D5wR0N8e/Xi1BZLuotSkH20Yf1NR5fW40+u/6YB36rbPgnsW8/zfEox1O584CBJ91PWw0zu2LHt2yhFxw2S/pFSEKwvaaqki7oLvk4TPBT4XG3/MKWoaCxwXssLRcYEys0QflmfjwYmN0xv+1j7tMLOSDpV0mzKlMUrJM2W1L4W697ad+OxXksdLYqIAW6TkQw/43yGjXzl2o4kIqJfG9LW1ptZQBF9V+9MtoHtlVp3EmtMW6ssLFwVrbSAstUl182VfDdPct1cyXfztFKu600G+rSUIyM4ERERERExYOQmA7FK6i2XD+tk0/62V+eNEwYMScdTfpuoo+NsT2l2PBEREREDSQqcWCW2v0C5ZXH0ku3LqLe9joiIiIjVK1PUIiIiIiJiwEiBExERERERA0YKnIiIiIiIGDBS4ERERERExICRmwxERES0gKHz58K8OTy7+DlYZ721HU5ERL+VEZyIiIhWMG8OS847naVznlrbkURE9GspcGKtk9Qm6WXdbD9O0nV93dbLY3fX9/NxSbpJ0tY99HWOpOErG0tERERErLpMUYvoBdsH9aLZ54ALgCVrOJyIiIiI6EIKnGgKSW3AWcD7gJcDp9q+vg9dbCTpeuD1wNPAsbaf6HCMVwL/DWwIrAv81PZpddtw4EvAgcAy4HHb7+uw/6uBHwH/Ydsdts0CDrY9XdLngKOBRUAbsC/w77Xp3ZKWA6Nt/6WTPLwCuBrYrL50q+2TJZ0DvMz2KbXd88/r423reb0ReAA4D/gK8Frgh7ZP7U0S240aNaovzVvWYDnP/iC5XvPmz378+W9Pku/mSa6bK/lunoGc6xQ40UwLbO8qaS/AQF8KnLcDO9meWQuM/wQO79DmL8AhthdKeilwi6QDbf8M+FfgdcA/2l4iadPGHSXtCHwfONH2xK6CkDQCOAV4he2/SdoA+Jvtj0s6EdjT9sJuzmMs8DvbYxr6642dgV2AhcCDlALn3ZT/w7+VdKntR3vZF08++WRvm7asUaNGDYrz7A+S6+YYunjx84+T7+bIZ7u5ku/maaVcr0whljU40UzX1L/3AKMkrduHff/X9sz6+DLgnZ20GQqMlzSVMsrxZmCnuu1g4ELbSwBsz23Ybwfgh8AR3RU31QJgJnCVpA9TRlmW9uE87gH2lzRe0sGUgqU3brH9jO1lwDTg57YX2/5rjafb9UERERERg0UKnGimRQD1Ih1WfgRxCGVqWEefBkYAb7O9A/BjylS19n26MhuYB4zu6cA19t2Bi4AtgAck7dDbwG1PohRdDwDHAr+om5ay4v/HjsXfoobHyzp5ntHYiIiICFLgROvYS9Ib6uPjeKEwaLQx8EfbiyRtDry3YdtPgE+13+WswxS1ecAY4FhJn+kuiDolbaTtO2x/DphOGSkCeBbYqIf9t6JM1buGUpDtLOklwGPtj+sxDu6un4iIiIjoXAqcaBV3AJ+v08/eCXyykzYXUQqhycA3gQkN284DZgFTJE0BLmnc0fYzwP7AIZLO7iaOjYAfS5omaTrwFGV6G5RF/7dJmiJp4y72Hw1MrjHcDHzM9nLKeqR5wEOUmxA80E0METEYbTKS4Wecz7CRr1zbkURE9GtD2to6m+kTEQNYW6ssLFwVrbSAstUl182VfDdPct1cyXfztFKu600Gultq8CIZwYmIiIiIiAEjC5Oj35B0Py/+TN5j+2NrI55VIekSys0IGi21vcvaiCciIiJisEiBE/3GQLr4b8WiLCIiImIgyBS1iIiIiIgYMFLgRERERETEgJECJyIiIiIiBowUOBERERERMWDkJgMRERH93ND5c2HeHACeXfwcrLPeWo4oIqL/yghOREREfzdvDkvOO50l553O0jlPre1oIiL6tRQ43ZA0S9Kb6+PLJO3dQ/tzJF2wisccXX8PZq3r7nxWx7murN4eW9IVkk7q5PUtJX1kzUS3aiQdI2mapKWdxR4RERER3UuB00u2j7d959qOYyCS1OypklsC/bLAAaYARwFXr+1AIiIiIlpR1uBUkvYAxgMb1JdO7bD9duAC2zdK2gj4GrArsBy40/ZJHdq/hXKRepLtOyQdBJwFrAssAU62fU9tey7lovYJ4Je9iPUztf0wYBFwgu0pdVtbPc77gJcDp9q+vh7/Sw3dbAccAdwL/DewYY3tp7ZPa2i3uaSbgNcBjwFH2H6upxhrLLNq33sBo4ALbV/csO1y4J3A48A/SzodOLbufh/wCdsLa74vrzH/HpgD/Kn2cwVwf0O/KzxviGVf4CLgaODrwFaSpgC/sX14jee7wLuAV1He6/Y+twEuBDYFhtfz+I6kjwI72P64pN1qLnezfZ+kb1CKlauAK4Htgb8DM22rq5zZnl6PubxD/NsAP7S9fS0InwbOtT1ekoB/sv3+Lt+MDkaNGtXbpi1tsJxnf5Bcr1nzZz/OkobnyXfzJNfNlXw3z0DOdQocQNImwI+Aw2zfLWko5YK/KxcCC4EdbS+XtGmH/varbY60PUPS1sBngQNsL5C0PXAz8BpJhwCHAjsBfwN+3IuQv2v7K/VYY4BLgN0bti+wvaukvQAD19u+Cbip7vNhYBxwS21/SC0kXgrcIulA2z+r23ahFHLP1PZjgW/1IsZ2m9neR9JmwGRJE21Pq9teZXvfGtO7KcXNnsCzlKLgs8DpwNn1nLaruX6wnlevSBoLfAo40PYTkj5OKWB26dB0Pdt7SNoSmF6LpUWUQnWs7V9L2gC4X9IkYAJwct13P2BS/Xtf/fsV4ABghO3taiwjeht3I9szJW0o6VWUEaiH6jHG178T+tLfk08+uTJhtJRRo0YNivPsD5LrNW/o4sUrPE++myOf7eZKvpunlXK9MoVYpqgVewAzbN8NYHuZ7fndtD8YGG97eW0/t2Hb/sB/UoqZGfW1A4CtgYl11OD7wLB60b8v8APbC20vo4xU9GRnSRMlTQe+SimOGl1T/94DjJK0bvsGSQcAnwHea3sRMBQYL2kq8ADw5g793WL7L7bbKCMUW/civkaXA9j+E/BTYHTDtu82PB4DXGN7QT3WpfU1KDlq72cu8MM+HH8ccAKwn+0nemh7TT3GLGA+sAXwRuBNwDX1vbsTWAd4k+3fAP8gaQtKkfGvwH6SXg2sY/sxYCqwraSvSzoCWMzK+0U9zhjgv4BXSxpen9+2Cv1GREREDBgZwSmGrMa+HqFMR9oFuKGh/5/Z/kDHxpL6dOx6QXsdsI/tByWNokxta7QISqFWZi+V91nSjpTRngNsz6ltPw2MAN5me5GkSylT1Vboq1oG/ENf4u1gCNDW8HxhN9toeN5djpayYqG+boftU4F9KNPb7ukhvo7nOqzGMNd2xyKy3W3AeygjVXdI+np9fhuA7cclvYlSmLwb+JKkt9Tisq8m1H62Ao6p53V0Pc5vV6K/iIiIiAEnIzjF3cB2dR0Okob2MJXoRuDU9uKkwxS1WZR1HF+WdGR97X+AA+vUNOo+u9aHE8pTrV+nxo3rIdZ1KRfef6jPT+zp5OrxNgeuB461/UjDpo2BP9biZnPgvb3prw+Oq8cfSbnAv72Ldj8HjpK0Qc3r8cCtddsEal4kvZyyvqjdY5QpdNTpW/t26PfB2v4qSe+ory0ANupl/DOB5yS1rw1C0raS2qcwTqCM3NxVn98FnFFfp47uLLP9Y8p0tpHAJr08dkcTeGHK22xKfj5PRm8iIiIinpcCB7A9DzgM+KqkaZSpWjt3s8vJlJsRTK9Tu87u0N9syjftZ0oaZ/tRyjful0uaKulh4KO17Y2UgmkK5UJ1cg+xLqjHu0/SROCvvTzN4ykX1xdLmlL/tS+830vSZOCb9HEtRy/8XtKdlPUpX7b9q84a2b6ZsiB/EtDe5tz694vACEkzgO9RCsZ2lwJb1PfhIso0uo59/4oyrfCyOkVvGjBT0nRJ13UXvO2lwCGU4muapIeAb1BuNgDlPXstL+RtQn3eXnS8BZhU4/tlzUGXk14lHS1pNuUGEF+UNFvSdjWW2ZT1Sf/bcOzXkAInYuDbZCTDzzif4Wecz7CRr1zb0URE9GtD2to6zgqKWD3qnckObr8zWPQbba2ysHBVtNICylaXXDdX8t08yXVzJd/N00q5rjcZ6NOSjozgRERERETEgJGbDPRTnfxuTbsz6y2f+wVJxwMndbLpONtbNjmcltAq721EREREK8oUtYjBJ1PUYrVKrpsr+W6e5Lq5ku/maaVcZ4paREREREQMailwIiIiIiJiwEiBExERERERA0YKnIiIiIiIGDByF7WIiIh+buj8uTBvDgDPLn4O1llvLUcUEdF/ZQQnIiKiv5s3hyXnnc6S805n6Zyn1nY0ERH9WgqciLVA0modPV3d/UVERES0qlwURdDpj29uBxwBbAscW1+7D/iE7YWSzgG2ATYCXgc8Bhxh+7lujtEGnAa8B7hTkoFvAOsD6wKX2r5Q0suAWcBmtpdJmgH8wvbHJe0GXGh7T0lXAM8CbwBGAjuveiYiIiIiWlsKnAjA9k3ATQCSPgyMA5ZQips9KYXElcBngdPrbrsAuwLPALcAY4Fv9XCol9geXY+zATDG9uJa1PxS0i22H5b0a2BXSb8DngPeXvffD5jQ0N8ewDts/7Uv51t/NGvAGyzn2R8k12vW/NmPs6ThefLdPMl1cyXfzTOQc50CJ6KBpAOAzwB7A2cA19heULddCvxnQ/NbbP+lbrsX2LoXh7iy4fF6wDcl7QgsB0YBOwIPA7cBY4DfAT8B9pW0RX3tiw19XNfX4gZomV8vXhWt9CvNrS65XvOGLl68wvPkuzny2W6u5Lt5WinXK1OIZQ1ORFULjUuAQ23PAYYAbR2aNT5f1PB4Gb37wmBhw+MvAU8Bb7W9I/BLylQ1KKM0+/HCiM0EytS2twKTuugvIiIiYtDLCE4EIGlz4HrgWNuP1Jd/DvyHpIsohcTxwK2r8bAbA9NsL5X0Zsqo0dV12yTKaM7mwIcpBdR/Aw/YXtxZZxERERGREZyIdsdTFupfLGmKpCmUEZqrKMXGr2q7c1fjMc8FPizpPuDfgIntG2wvodzU4FHbf6+PR1CmrkVEREREF4a0tXWcgRMRA1xbq8y7XRWtNL+41SXXa17jD32ut8VreTY/9NkU+Ww3V/LdPK2U67oGZ0hf9skUtYiIiH5u2YhNYcSmAGwwahTPtsiFSUTE2pACJ2I1knQ2cFgnm/a3/edmxxMREREx2KTAiViNbH8B+MLajiMiIiJisMpNBiIiIiIiYsBIgRMREREREQNGCpyIiIiIiBgwUuBERERERMSAkQInIiIiIiIGjNxFLSIiop9r/KHPZxc/B/mhz4iILmUEJyIior+bN4cl553OkvNOZ+mcp9Z2NBER/VpGcAY5SbOAg21Pl3QZcKXtO7tpfw7wMtunrOJxjwPutv3IqvTTx2MeCuxt+1RJW1J+fPPShu2zqLnoRV+7ACfbHtuLtucChwNzbO/dRZuzgCOBZcAQ4Mu2f9DzWUVEREREoxQ48Tzbx6+uviQNs720mybHAXOBphU4tm8AbqhPtwQ+Alza5Q5dqOd2P9BjcVN9BniN7TndtLnY9r/X/kcBv5b0P7YmBhpwAAAgAElEQVTn9zW+iIiIiMEsBc4gImkPYDywQX3p1A7bbwcusH2jpI2ArwG7AsuBO22f1KH9W4CrgZOA3wH3AxcDY4CrJD0KnAusS/ms/bvtaySNA3YBLqqjG6fYvlXSaZSRjmHAE8CHbXc6F0PSQcCXGl7aDjjC9v+T9EHgxNrPM8AJtmfWUaODbR8OfB3YStIU4Df1NYCxkvYCRgEX2r64Hm8WcDnwTuBxSd+rudqlIZ6z6rkuoYzu3CPpzvraBEm32F4h5+1sP9Pw9GVAG3UKaX1fHgB2oxRm/1nz84ka56m2r+2s366MGjWqL81b1mA5z/4guV6z5s9+nCUNz5Pv5kmumyv5bp6BnOsUOIOEpE2AHwGH2b5b0lBgw252uRBYCOxoe7mkTTv0t19tc6TtGXXK18uBh22fU9uMAN5ue5mkzYAH6kX+d2oRcoHtG2vbY4DXA7vX450AfIUuRkls3wTcVPf9MDAOuEXS3oCAfWwvlvRu4NvAXh26+DgNBUqDzWzvU+OdLGmi7Wl126ts71uPObohF1sDnwUOsL1A0vbAzZRRm70ltQF72l7YTb6R9DHgU8CrgQ/Zfrph8xbAO4BXAr8BvmZ7T0m7AT8E+lTgPPnkk31p3pJGjRo1KM6zP0iu17yhixev8Dz5bo58tpsr+W6eVsr1yhRiucnA4LEHMMP23QC2l/Uw/elgYLzt5bX93IZt+1NGEQ6wPaPh9UWAG56PBK6TNB24BdgE2KaL4x1KGfl5sI6qfJwyWtEtSQdQpoC91/Yi4BBgR+De2s95lIKhty4HsP0n4KfA6IZt3+1inwOArYGJ9ZjfB4bVIqnXbF9ie1tgd+AsSS9v2Hyt7eX/n707j7KrqtP//w6hE0BmiGCMiogTINBfARlkklmRbhEfgTAL0oATyhA7CgixhTZotBERmwgElH5w6ohikCABIdDMEIOMRgz8aANEAgJJk9Tvj71LLkWNSXFTt+p5rVUr9559zt77fM7NWudz997n2n4ceIqSrEIZ2XmjpJX60lZERETEYJURnKFjWD/W9QCwCWWa2dSG7X+z3dbw/ru1fD/bbZIeoEzX6qp/E2xP7m0nJG0OnE9JtNrXtwwDJts+tbf1dGMYZapYu65GYIYBv7Z9aD+0ie17JT1OSa5+Uje/2LDL4vb3dXQM8n85IiIiAsgIzlByE7BxXYeDpOF1CllXrgROkjSs7t84RW0OsDvwNUkf76aONYE5NbnZnTIFrd0CYI2G91OB49r7JGlkTWA6JemNlJv/Qzo8ie0XwKGSxjSc53s7qaJj++0Or8eNAvYGruvm/NpdDexVp6a192+rXhz3d5Le3fD6rcA/ArO7PiIiIiIiOpNvfYcI209L2g/4hqTXUR4c0N2jnk+grLGZJeklYAbwmYb65tZ1ONMkrQL8tpM6xgHnSRoH3FP/2l0ATJR0ImWR/JSaRM2oIxIrAOcBd3fRv6MoU+DOrftDWdj/2/rI5al1ndEIyvqU2zscfw9wf50+94eGhww8Wh8M8AbKo5rv7SZG7bF4sK4hulDSyrXNG4Fbezq2wVdqgvR/lBGaz9i+rw/HR8RgtvYoRow7G4AVR62/nDsTETGwDWtra+t5r4gYTNpaZWHhsmilBZStLrFursS7eRLr5kq8m6eVYl0fMtCnpRaZohYREREREYNGpqjFgCbpVGC/Tor2sP2XZvdnWXTy2z3t/rU+9joiIiIillESnBjQbJ8BnLG8+9EfGn+7JyIiIiJeG5miFhERERERg0YSnIiIiIiIGDSS4ERERERExKCRBCciIiIiIgaNPGQgIiJiABs+/0l4et7f3z+78HkYucpy7FFExMCWBCciImIge3oei8465e9vR5w2CcZsuBw7FBExsCXB6YSkOcA+tmdJ+k/gYts3dLP/6cCqtk9chjZ3Biba3nJp6+gv3Z1Pf5zra9GvDvtdBNxm+9wO2zeg/H7OBa9VH5eFpE8DxwP/B7xk+x+Xc5ciIiIiWk7W4PTA9lHdJTex9CQ1O8HeAPhkk9vsFUn7AR8DtrL9HmDv5dyliIiIiJY05EdwJG0LfB1YrW46qUP5dZSRlSslrQF8E9gKWALcYPtTHfZ/D/BD4FO2Z9Rfrx8PrAQsAk6wfXPddwJwAPAY8D+96OsX6v4rAi8Cx9q+q5a11XY+AqwDnGT7J7X9f2uoZmPKjfQtwI+A1Wvffmn75Ib93ijpV8CGwMPAx2w/31Mfa1/m1Lq3B0YDk9pHU2rZhcAHgEeAT0g6BTikHn4r8Gnbz9V4X1j7/CgwD/jfWs9FNIzSdDNqswvwbeBA4DvAWyXdBTxke//an0uA3YE3UK51e53vBCYB6wIj6nn8QNIxwGa2j5e0dY3l1rZvlXQecBdwKXAxsAllROZ+2+ombF8Avmz7WQDbTzScw3XA7cDWlCTtW5TPzKdrfE+yfUU3db/K6NGj+7J7yxoq5zkQJNavnflzH2FRh22Jd/Mk1s2VeDfPYI71kE5wJK0N/AzYz/ZNkoZTbvi7Mgl4Dtjc9hJJ63aob9e6z8dtz5b0NuDLwJ62F0jaBLgKeLOkDwP7AlsALwA/70WXL7F9Tm1rN+B8YJuG8gW2t5K0PWDgJ7Z/BfyqHnM0cAQwre7/4ZpI/AMwTdJetn9dy7akJHLP1P3HAt/vRR/brWd7R0nrAXdKut72PbXsDbZ3qX3am5LcbAc8S0kKvgycApxaz2njGus76nn1iqSxwOeAvWw/Jul4Op8GuIrtbesUtlk1WXqRkqiOtf0HSasBt0maCUwHTqjH7grMrP/eWv89B9gTWMv2xrUva/XQ3Y2BbWrSOwL4nu3GeI8BdgLWBx4Cvml7u5pg/RToU4Lz+OOP92X3ljR69OghcZ4DQWL92hq+cOGrtiXezZHPdnMl3s3TSrFemkRsqE9R2xaYbfsmANuLbc/vZv99gK/bXlL3f7KhbA/KN+t72p5dt+0JvA24vo4aXAasWG/6dwH+y/ZzthdTRip68l5J10uaBXyDkhw1urz+ezMwWtJK7QWS9qSMEvyT7ReB4cDXJd1NGR3YtEN902z/1XYbZYTibb3oX6MLAWz/L/BLYOeGsksaXu8GXG57QW3rgroNSoza63mSciPfW0cAxwK72n6sh30vr23MAeZTkol3AO8GLq/X7gZgJPBu2w8BK0saQ0lovgjsKulNwEjbDwN3A++S9B1JHwNefYfySsOBNwHvBz4InCxpx4byK2wvsf048BQlMYdy7d7YeK0jIiIihrKhnuAM68e6HqDcpDaODgwDfm17i4a/0fWmv09tSxoB/Bj4nO1Ngb0oN9yNXoSSqNX3K9ZjN6eM9uxru/1Zo58H1gLeZ3szygjSSh3rqhazbKN9w4C2hvfPdVNGw/vuYvQSr/z8drzBv5sy2rFxL/rX2bkOA57scO02sN2eWFwLfIgyUjWDMr3tQ3U7th+hJEi/oSRsd/eQhDwK/KgmMX+px23dTR87vdYRERERQ91QT3BuAjau63CQNLyHqURXAidJGlb3b5yiNoeyjuNrkj5et10N7FWnplGP2aq+nF7e6nV1atwRPfR1JcpN7J/r++N6Orna3huBnwCH2H6goWhN4P+z/WLd5596U18fHF7bH0VZMH9dF/v9BjhA0mo1rkcB19Sy6dS4SFqHsr6o3cOUKXRIegNltKfRHXX/SyXtVLctANboZf/vB56X1L42CEnvktQ+hXE6ZeTmxvr+RmBc3U4d3Vls++eU6WyjgLW7ae+HlKQVSa8DdqAkaRERERHRB0M6wbH9NLAf8A1J91Cm+7y3m0NOoDyMYFad2nVqh/rmUqYs/aukI2w/CBwMXCjpbkn3AcfUfa+kJEx3Ub71v7OHvi6o7d0q6Xrgb708zaMoN9fnSrqr/rUvvN9e0p3Ad6k35v3oUUk3UNanfM32vZ3tZPsqyoL8mUD7PhPqv2cCa0maDUyhJIztLgDG1Ovwbco0uo5130uZVvifdYrePcD9kmZJ+nF3nbf9EvBhSvJ1j6TfA+dR1sdAuWZv4eW4Ta/vr63v3wPMrP37nxqD7ia7fhN4U23nf4BLbf+muz5GxBCx9ihGjDv7738rjlp/efcoImJAG9bW1nF2UMSyafwdoeXdl+hUW6ssLFwWrbSAstUl1s2VeDdPYt1ciXfztFKs60MG+rS0Y0iP4ERERERExOCShckDTCe/W9PuX+sjnwcESUcBn+qk6HDbGzS5Oy2hVa5tRERERCvLFLWIoSdT1KJfJdbNlXg3T2LdXIl387RSrDNFLSIiIiIihrQkOBERERERMWgkwYmIiIiIiEEjCU5ERERERAwaeYpaRETEADR8/pPw9LxXbX924fMwcpXl0KOIiNaQBCciImIgenoei8465VWbR5w2CcZsuBw6FBHRGpLgxKAjaQ6wj+1Zkv4TuNj2Dd3sfzqwqu0Tl7Hdw4GbbD+wDHVMBD4KbAC8x/asZelTRERExFCTNTgxqNk+qrvkpi8k9fSFwOHAO5axmZ8DOwJ/WsZ6IiIiIoakjOBES5O0LfB1YLW66aQO5dcBE21fKWkN4JvAVsAS4Abbn+qw/3uAHwKfoiQZtwHnArsBl0p6EJgArET5//NV25dLOgLYEvi2pAnAibavkXQysH/d9zHgaNtPdHU+tn9X+9HxPI8BNrN9vKStgVuArW3fKuk84C7bF/Q2bvVHswa9oXKeA0Fi3f/mz32ERV2UJd7Nk1g3V+LdPIM51klwomVJWhv4GbCf7ZskDQdW7+aQScBzwOa2l0hat0N9u9Z9Pm57tqQNgHWA+2yfXvdZC3i/7cWS1gNulzTN9g8kHUZNpuq+BwMbAdvU9o4FzgHGLsXpTgdOqK93BWbWf2+t/57Tl8pa5deLl0Ur/Upzq0usXxvDFy7ssizxbo58tpsr8W6eVor10iRimaIWrWxbYLbtmwBsL7Y9v5v99wG+bntJ3f/JhrI9gG8Be9qe3bD9RcAN70cBP5Y0C5gGrA28s4v29qWM/Nwh6S7geMramj6z/RCwsqQxlITmi8Cukt4EjLT98NLUGxERETHYZAQnWtmwfqzrAWATyjSzqQ3b/2a7reH9d2v5frbbJD1Ama7WVf8m2J7cT328FvgQsJ7tGZK+U99f20/1R0RERLS8jOBEK7sJ2Liuw0HS8DqFrCtXAidJGlb3b5yiNgfYHfiapI93U8eawJya3OxOmYLWbgGwRsP7qcBx7X2SNFLS5r07tU5Np4zc3Fjf3wiMq9sjIiIigozgRAuz/bSk/YBvSHod5cEB3T3q+QTKGptZkl4CZgCfaahvbl2HM03SKsBvO6ljHHCepHHAPfWv3QXAREknAifZnlKTqBn1oQErAOcBd3fVQUnfBvYD1geukfSU7U1q8bXAW3g5oZkOfJKM4EQMTmuPYsS4s1+1ecVR6y+HzkREtI5hbW1tPe8VEYNJW6ssLFwWrbSAstUl1s2VeDdPYt1ciXfztFKs60MG+rQsIVPUIiIiIiJi0MgUtYgmk3QqZRpaR3vY/kuz+xMRERExmCTBiWgy22cAZyzvfkREREQMRpmiFhERERERg0YSnIiIiIiIGDSS4ERERERExKCRBCciIiIiIgaNPGQgIiJiABo+/0l4et6rtj+78HkYucpy6FFERGtIghMRETEQPT2PRWed8qrNI06bBGM2XA4diohoDZmitpQk/YukE/q5zjZJq/ZnnUvZj50l3dbXstdab9uWdLikH3dRdrqkEf3fu2UjaQtJN0p6vqu+R0RERETPhkSCI6nfR6psn2/7m/1d71DyWlyXXjgNGHAJDvAX4PNAvybNEREREUPNoJ2iJqkNOBn4EHAD8GVJJwP7U877MeBo20/Ub/T/DdgLWAw8YvsjtZ6ujjkdWNX2iZIeBPa3fXc95tPA/7N9hKR3ApOAdSk31pNs/6Dut19t92ngV704p12BCcBKtT9ftX15LbsOuBXYFhgN2PY4Sa8Hrm6o5s3AxbZPkHQZ8E5gJPAQcKTt+XW/FSV9r9bXBhxg+74eA1/6chHwf8BbgTcB1wPH215Uy54F3g6MAt4raS/ga8BwYB5wjO2Hal0TgAMosf+fhjYOB/axvX9n7xv2exPwM+DfgZ3q5pskLQF2plybF4F31L7OBA6z3SZpdeAbwGY15r+lJCEbAT+1vUlN0p4CJtj+uiQB/2z7IEmnAQfW+tuAXWz/tbOY2X4ceFzSuzuJ5+nAu4DVaz9vB84CzgHeUvtyUmf1dmX06NF92b1lDZXzHAgS6/43f+4jLOqiLPFunsS6uRLv5hnMsR60CU61gu2dASQdTLkx3cb2EknHUm4QxwJfBDakJCWLJK3bi2MaXQIcRrn5BTgcOKHe/P4QGGv7D5JWA26TNJOS1Hwf2M72/TWR6skdwPttL5a0HnC7pGkNScmbgR2B1YCHJV1o+0Fgi3o+/wj8BDi37v9Z20/WsgnAKcC4WrYJcITtYySNB77UyXl3533AdpSb+18Bn2xod1tgJ9t/qwnYlPp+tqRPAJcB75P0YWDf2v8XgJ/3oX0kbV7rOs729YAlHUeJ+XN1H4BNgd2AJcCd9fVvKMnNDNtHSVqh1nWk7e9LWl3SG4ANgN8DuwJfr/9Ol7QWcCLwetsv1Gv/Ql/638F7gS2B5yifg7OAvSn/h/8o6YJ6rXvl8ccfX4autIbRo0cPifMcCBLr18bwhQu7LEu8myOf7eZKvJunlWK9NInYYE9wLm54vS/lBvGOelO7IvBMLdsH+ILtRQDtN/09HNOxnVtqkvIuYA3KqNG769/l9XgooyXvpowU3WH7/rr9AuDsHs5nFDBZ0tuBl4C1KSMwN9fyK2wvAZ6RdB/wNuBB+PtIxo8pydbDdf9DJY2ljCy9Dnigoa37bd9ZX98MfLiHvnX0Xw1JxMXAR3k5wfmx7b/V1+8D7rY9u77/AXBeTQh26VDPhZREqzc2A35KGdXpaeTp57ZfrG3cQYnbbyjXf2tJX6j7rQLMra9/S0lm3gp8Dzi5jgTuRkk+FgD3A5dK+jVwpe1ne9n3zkyz/Uzt4z2UmC0EFkq6n4ZrHRERETGUDfYE57mG18Mo04gmd7LfsC6O7+6Yv7P9qKTZlG/Ud6ZMAWuTNAx40vYWHY+R9E+9OYEOvgtMBfar9T9AmTrV7sWG14up17dOtboSOMX2zLptB+BYymjGPEkHUUZZuq1rKQ2jTNFq1/G6tNG5rq4LlASvcQ3ZSh3K51JGsnYGekpwujrXYZTpZo90csx0Xk5wDqaMnB0IYPuPAJK2AbYHPkAZbdvL9j099KW3fezP6xMRERExaAyJhwxUU4Hj6tQhJI2sU5gAfgF8rv3pWu1T1Ho4pqOLgKMoN7ntI0f3A89LOqR9J0nvqgnHTOAf62gM9dierAnMqcnN7pTpc92q0+R+DEyx3fh0rjUpo1FPSRoJHNmL9vviY5JeV9s/mDLi0ZmZwBaS3lXfHwbcWUc7ppdT0OskDQeOaDjuYWCzek1GUNZJNXqaMppySMMIDJT1P2v08hymAuNq20haV9Jba9l0YE9gLdtzgWuArwDX1n1XA0bZnmH7NGAWZSpcRERERLyGhkyCY3sKZQ3FjDrF53bKt+tQphTNAe6SdBdwfi+O6egnlNGC2bYfrce/RJnadYCkeyT9HjgPGGH7L5QRk19IuokyItGTccDEuoZnf6A3owHbU0YaDpZ0V/07CbiKkiT8ob6+oxd19cX1lDUzvwf+TJmC9yq25wGHAD+sMT64/mH7SsrI012UxOHOhuNmUpKKWXWfV43S1CldewAflnRq3XwOcG2Nw5o9nMPnKKMjd0u6F/g18MZa91xKsvS7uu+1lDVQ19b3awA/r9d9FvAEZcpcpyRtIGkuZd3PByXNreuRImKoWnsUI8ad/aq/FUetv7x7FhExoA1ra+tqdlDE0qlPSrvN9rk97RvLRVurLCxcFq20gLLVJdbNlXg3T2LdXIl387RSrOtDBrpbtvAqQ2YEJyIiIiIiBr8sTB5gOvndmnY/tX1Gs/vTFUlbUNYddXSu7cOb25vW0CrXNiIiIqKVJcEZYOranFc9dW2gsX0XLdDPgaRVrm1EREREK8sUtYiIiIiIGDSS4ERERERExKCRBCciIiIiIgaNJDgRERERETFo5CEDERERA8zw+U/C0/M6LXt24fMwcpUm9ygionUkwYmIiBhonp7HorNO6bRoxGmTYMyGTe5QRETrSIITy4Wk04F/s72oiW2eAfze9n9J2hkYYfvqWrYBcJvtdXtZ178AK9v+Zg/7jQB+DowBpts+oYv9JgIfBTYA3mN7Vq9OKiIiIiJeIQlOvCYkDbe9uJtdTgMmAk1LcGyf2vB2Z2BVOv/hzW5JWtH2+b3c/R+Bt9jepIf9fg58C7ihr/2JiIiIiJcNa2trW959iNeQpL2ArwHDgXnAMZTRhG8BdwCbAy8Bh9ueXY85DDiOkgA/Axxr+35JhwMHAfOBTYG/Ah+1/UQtO6C2sTHwCWDXum1F4MVaz12SvlPrvxdYQkk2lgDfADYDVgJ+C3y+qyRJ0qnAfvXtCODdwJrAC8BXgZ3q9ntru89Jugi4DZgB/IbykI3Hgcvr323ARcCOwMrAcbZvaB/dAc4FdgMuBdYHVrV9Yu3PycD+9VwfA44G1gB+CYwGHgC+Zvu/urhU7ec1B9incQRHUhvwJeCfgXVq3bsBewH/AHzM9n3d1dtB/tNHDHDz/+d3PPeVz3Vatuppk1hr6/c3uUcREcvVsL7snBGcQUzS64EpwE62Z0v6BHAZcAolkfiM7Rk1obkE2FLSDoCAHW0vlLQ3MBnYvla7FbCZ7T9L+j7waWB8LXs/sLnth2v7j9k+p77eDTgf2Mb28ZKOA7az/Vwt/09ghu2jJK1Q+3kk8P3Ozs32GcAZ9dgpwDTbz0j6EvCM7a1r2dnAFxv6iO17JZ3PKxOUDSjJwz22T5S0E/AjSW+rh60D3Gf79Lr/6Q1xPhjYqJ7bEknHAufYHivpKGCi7S17uFw9+avtrSR9DPhv4OO2v1gTq/HAwX2p7PHHH1/G7gx8o0ePHhLnORAk1v1v+MKF3ZYn3s2Rz3ZzJd7N00qxHj16dJ+PSYIzuL0PuLt9ZAb4AXAesBrwkO0ZdfsU4AJJqwMfpozq3CIJSsa8VkOdN9r+c319M7B7Q9nv2pOb6r2S/hVYmzJC845u+rovsLWkL9T3qwBzezpBSWdSppod1lDP6pL2r+9HAnf3VE+1iDI6Q038XgDeCSygjEC5m75vCdxRY9Y+8tWf2kd+7gDabP+yvr+dl0eyIiIiIoa8JDiD2zD6Ph1pGDC5w3qVRi82vF7MKz9Dz7W/qIvrf0wZCbpD0mjK1K3u2v1n24/0tqOSjqAkWLvYXtJQz3G2r+1tPT30qT1+f7PdVSyHARNsT+6HNrvSHvfFQONXux2vQURERMSQlh/6HNxmAltIeld9fxhwJ/AssFGdjgZlXc29thcAvwAOlTQGysMCJL13KdpeiXLj3T7ac1yH8mcpa1TaTQXGSRpe211X0lu7qrxOeRsH7Gv7hQ71fF7SynW/1SS9u5MqFnRoH8qanYPqcTvUc7i/yzN8ZZvHSVqrHjtS0ua9OC4iIiIi+lm++R3EbM+TdAjwQ0krUh4AcDDlIQN3AQdKmkQZBTi0HnO9pPHA1JpsjACuoEyF6kvbC+qDAG6V9ChwVYddzgGurdPAdgY+B/w7cHddVL+wbvtjF02Mpz4FrU4LA9gBOAs4vba7hDIC8xWg4yL8nwGHSLqLlx8y8BTwdkm3UKbIHWh7UUP9XZ3rFEnrAjPqvitQpgL2dmockr5NmWq2PnCNpKd68eS1iBis1h7FiHFnd1q04qj1m9yZiIjWkqeoDUH1N2D6Y+F7tKa2VllYuCxaaQFlq0usmyvxbp7EurkS7+ZppVjXhwz06SlqmaIWERERERGDRqaoDUG2r6M89WvAkzQVeHOHzY/a3nd59GdZdPjtnkZ72P5Ls/sTERERMRglwYkBrRUTma40/nZPRERERLw2MkUtIiIiIiIGjSQ4ERERERExaCTBiYiIiIiIQSMJTkREREREDBp5yEBERMQAM3z+k/D0vE7Lnl34PIxcpck9iohoHUlwIiIiBpqn57HorFM6LRpx2iQYs2GTOxQR0ToyRW2AkHS6pInLux8Akq6TtE9fy15rvW1b0hxJm3ayfWdJe7w2vVs2kiZK+qOkts76HhERERG9kwQnlhtJzR5B3BkYkAkO8HNgR+BPy7sjEREREa1sSE5Rk7QX8DVgODAPOAYYA3wLuAPYHHgJONz27HrMYcBxlJg9Axxr+35JhwMHAfOBTYG/Ah+1/UQ97mRg/3rcY8DRtp+QtAZwIbAx8Gjtx//20O/LgHcCI4GHgCNtz5e0MzAJuAXYFmgDDrB9n6RTgf1qFSOAdwNrAlsCE4CVat++avvyhuZ2kjQOGA3Y9rhexnYD4DbgIsoN+8rAcbZvaCg7F9gNuFTSpcB/AFvVKqbYPrvWtTHwA+AfgNm1r+3tzAH2sT2rs/cN+30B+CDweeBfgBUk7QZcXv9uA75X91kF+ITt39VjPwiMr+0uAk6wfbOkHwE/tX1Fvb7jgbVtL5Y0G/hnYFiNwSqUz9lFtrscoWtos7OYtgFfqvWuAxxd47dXjc3HbN/XVd2dGT16dF92b1lD5TwHgsS6f82f+wiLuilPvJsnsW6uxLt5BnOsh1yCI+n1wBRgJ9uzJX0CuAw4BdgM+IztGTWhuQTYUtIOgIAdbS+UtDcwGdi+VrsVsJntP0v6PvBpYLykg4GNgG1sL5F0LHAOMBY4FVhge2NJ61ISK/fQ/c/afrKex4Ta5/bEYxPgCNvHSBpPuSEea/sM4Ix6zBRgmu1nJN0BvL/elK8H3C5pmu35tb43UxKU1YCHJV1o+8Fehnkd4B7bJ0raCa751voAACAASURBVPiRpLc1lN1n+/Tap7MpI4nvqW3NlHSP7aso1+nbti+WtA1wYy/bh5LIfBtYF9jb9iJJ5wOr2j6xtr1B7c9M2+MljQXOBrav/f0ysKftBZI2Aa6qcZkO7ApcUf/9PbCVpD8Bq9l+QNK3gF/ZPrO2tVYf+t6Zv9reStLHgP8GPm77iw0J1sF9qezxxx9fxu4MfKNHjx4S5zkQJNb9b/jChd2WJ97Nkc92cyXezdNKsV6aRGwoTlF7H3B3+8gMZYRgC8rN9UO2Z9TtU4D3SFod+DBlVOcWSXcBZwFvaqjzRtt/rq9vBtpv5velfNN+Rz3ueGCDWrYLZQSHmrT8tBd9P1TS7ZLupYwabdFQdr/tOzvpAwCSzgRWBb5QN40CfixpFjANWJsyOtTuCttLbD8D3Nexvh4sAi6t5zYDeKGh7hd5ZSK3G/B92222FwA/Anarcd+Uch2wfTNwbx/6MJkyijLWdndfhD5n+8r6ujFue9bX19drdxmwYk0Gp9c+jqCM/F1Qz2O3WgZwPXCkpDMlfYAysrcs/qv+ewfQZvuX9f3tlCQ6IiIiIhiCIziUm962pThmsu1Tuyh/seH1Yl6O6zBggu3JXdTZa3UU6VhgO9vzJB0EfLIXfUDSEcDuwC62l9TN3wWmAvvZbpP0AA1TwLqrbyk0xvxvttu6KGvX1uHfzrzEKxP0lTqUX09ZczMK+Es39TR+Tdrx2v3a9qGdHSRpBUqSOZOS1FxCWT9zLYDtn0iaSVnzMw44kj6OsnTQfj0Wd9PniIiIiCFvKI7gzAS2kPSu+v4w4E7gWWCjmkhAuXm9t44q/IIyejIGQNJwSe/tRVtTgePapydJGilp81o2HTiibl8H+EgPda1JWfvzlKSRlBvmHtX1JuOAfW2/0KG+OTW52Z3+HQUYQYlfe2K2EnB/F/v+BjhK0jBJqwEHANfUuM9qqGdryjS2dg9T1+1I2hVYr0O9kynTAadLah/bXACs0ctzuBrYq05No7azVUP5tcDpta9/pkx126NuR9JGwBO2LwK+Amzdy3YjIiIiYhkMuW9+6+jHIcAP61O85lG+WR8D3AUcKGkS5ZvxQ+sx19d1LVMlDafcwF9BmR7UXVtT6vqaGXXx+ArAecDdwJnA5LoofQ7lhro7V9V+/gGYS1kc35ub5vGUqWlXNyxg34GS9JxXHyRwT/3rL08Bb5d0C2WR/YF1DUxn+55JeehA+/SzKbZ/XV8fCvxA0ucpsb654bgvARdLOpqyNufRjhXbvkzSi5QkZ2/gZ8AhdcpZ+0MGOmX7wbqG6kJJK1Ou+Y3ArXWX6ZQk89r6/nfArrbn1vcCxkpaRBmJ+mxXbQHU9UL7AesD10h6yvYm3R0TEYPY2qMYMe7sTotWHLV+kzsTEdFahrW19XW21uBUn0Q20faWy7svraz9SWm2113efYkutbXKwsJl0UoLKFtdYt1ciXfzJNbNlXg3TyvFuj5koE9LO4biFLWIiIiIiBikhtwUta7Yvo7y2zDLVYffrWm0h+3uFss3VX3k8jYdNr9UR8AyetOJVrm2EREREa0sU9Qihp5MUYt+lVg3V+LdPIl1cyXezdNKsc4UtYiIiIiIGNKS4ERERERExKCRBCciIiIiIgaNJDgRERERETFo5ClqERERA8jw+U/C0/O6LH924fMwcpUm9igiorUkwYmIiBhInp7HorNO6bJ4xGmTYMyGTexQRERryRS1IU7SHEmb1tf/KWmHHvY/XdLEfmj3cEnvWNZ6+tjmvpK+Xl9vIOmTHcr/Hote1LWlpMt6ue8ESX+QdEM3+xws6R5JL0n6VG/qjYiIiIhXywhO/J3to/qrLkkr2n6pm10OB54EHuivNntieyowtb7dAPgkcEFf66nndhswtpeHfAF4s+2u55zAXcABwLi+9iciIiIiXpYEZwiRtC3wdWC1uumkDuXXARNtXylpDeCbwFbAEuAG25/qsP97gB8CnwL+BNwGnAvsBlwq6UFgArAS5bP2VduXSzoC2BL4tqQJwIm2r5F0MrB/3fcx4GjbT3RxLh8E/q1h08bAx2z/t6TDgONqPc8Ax9q+X9LhwD629we+A7xV0l3AQ3UbwFhJ2wOjgUm2z63tzQEuBD4APCJpSo3Vlg39GV/PdRFwgu2b66jNSsB0SdNsvyLm7WzPqvUs6eRcrwNuB7amJGbfqvH5dO3nSbav6KzertQfzRr0hsp5DgSJdf+ZP/cRFvWwT+LdPIl1cyXezTOYY50EZ4iQtDbwM2A/2zdJGg6s3s0hk4DngM1tL5G0bof6dq37fNz2bEkbAOsA99k+ve6zFvB+24slrQfcXm/yf1CTkIm2r6z7HgxsBGxT2zsWOIcuRkls/wr4VT32aOAIYFqdYidgR9sLJe0NTAa271DF8TQkKA3Ws71j7e+dkq63fU8te4PtXWqbOzfE4m3Al4E9bS+QtAlwFWXUZgdJbcB2tp/rJt49GQPsBKwPPAR80/Z2krYGfgr0KcFplV8vXhat9CvNrS6x7l/DFy7scZ/Euzny2W6uxLt5WinWS5OIZQ3O0LEtMNv2TQC2F9ue383++wBft72k7v9kQ9kelFGEPW3Pbtj+IuCG96OAH0uaBUwD1gbe2UV7+1JGfu6ooyrHU0YruiVpT8oUsH+y/SLwYWBz4JZaz1nAm3qqp8GFALb/F/glsHND2SVdHLMn8Dbg+trmZcCKNUnqL1fYXmL7ceApSrIKZWTnjZJW6se2IiIiIlpWRnCGjmH9WNcDwCaUaWZTG7b/zXZbw/vv1vL9bLdJeoAyXaur/k2wPbm3nZC0OXA+JdFqX98yDJhs+9Te1tONYUDj+XQ1AjMM+LXtQ/uhza682PB6cfv7OjoG+b8cERERAWQEZyi5Cdi4rsNB0vA6hawrVwInSRpW92+cojYH2B34mqSPd1PHmsCcmtzsTpmC1m4BsEbD+6nAce19kjSyJjCdkvRG4CfAIbYbH1TwC+BQSWMazvO9nVTRsf12h9fjRgF7A9d1c37trgb2qlPT2vu3VS+Oi4iIiIh+lm99hwjbT0vaD/iGpNdRHhxwYjeHnEBZYzNL0kvADOAzDfXNretwpklaBfhtJ3WMA86TNA64p/61uwCYKOlEyiL5KTWJmlFHJFYAzgPu7qJ/R1GmwJ1b94eysP+3ksYDU+s6oxGU9Sm3dzj+HuD+On3uDw0PGXi0PhjgDcDXbN/bTYzaY/FgXUN0oaSVa5s3Arf2dGw7SQdSHgCxFvBPNWZ7dJgCGBFDwdqjGDHu7C6LVxy1fhM7ExHReoa1tbX1vFdEDCZtrbKwcFm00gLKVpdYN1fi3TyJdXMl3s3TSrGuDxno01KLTFGLiIiIiIhBI1PUYkCTdCqwXydFe9j+S7P7syw6+e2edv9aH3sdEREREcsoCU4MaLbPAM5Y3v3oD42/3RMRERERr41MUYuIiIiIiEEjCU5ERERERAwaSXAiIiIiImLQSIITERERERGDRh4yEBERMYAMn/8kPD2vy/JnFz4PI1dpYo8iIlpLEpyIiIiB5Ol5LDrrlC6LR5w2CcZs2MQORUS0lkxRG2AknS5p4vLuB4Ck6yTt09ey11pv25Y0R9KmnWzfWdIer03vlo2kiZL+KKmts75HRERERPeS4MRyJ6nZI4k7AwMywQF+DuwI/Gl5dyQiIiKiFQ3pKWqS9gK+BgwH5gHHAGOAbwF3AJsDLwGH255djzkMOI4Su2eAY23fL+lw4CBgPrAp8Ffgo7afqMedDOxfj3sMONr2E5LWAC4ENgYerf343x76fRnwTmAk8BBwpO35knYGJgG3ANsCbcABtu+TdCqwX61iBPBuYE1gS2ACsFLt21dtX97Q3E6SxgGjAdse18vYbgDcBlxEuWFfGTjO9g0NZecCuwGXSroU+A9gq1rFFNtn17o2Bn4A/AMwu/a1vZ05wD62Z3X2vmG/LwAfBD4P/AuwgqTdgMvr323A9+o+qwCfsP27euwHgfG13UXACbZvlvQj4Ke2r6jXdzywtu3FkmYD/wwMqzFYhfI5u8h2lyN0DW12jOcxwGa2j5e0NeUab237VknnAXfZvqCrejsaPXp0b3dtaUPlPAeCxLr/zJ/7CIt62Cfxbp7EurkS7+YZzLEesgmOpNcDU4CdbM+W9AngMuAUYDPgM7Zn1ITmEmBLSTsAAna0vVDS3sBkYPta7VaUm9A/S/o+8GlgvKSDgY2AbWwvkXQscA4wFjgVWGB7Y0nrUhIr99D9z9p+sp7HhNrn9sRjE+AI28dIGg98CRhr+wzgjHrMFGCa7Wck3QG8v96UrwfcLmma7fm1vjdTEpTVgIclXWj7wV6GeR3gHtsnStoJ+JGktzWU3Wf79Nqnsykjiu+pbc2UdI/tqyjX6du2L5a0DXBjL9uHksh8G1gX2Nv2IknnA6vaPrG2vUHtz0zb4yWNBc4Gtq/9/TKwp+0FkjYBrqpxmQ7sClxR//09sJWkPwGr2X5A0reAX9k+s7a1Vh/63mg6cEJ9vSsws/57a/33nL5U9vjjjy9lN1rH6NGjh8R5DgSJdf8avnBhj/sk3s2Rz3ZzJd7N00qxXppEbChPUXsfcHf7yAxlhGALys31Q7Zn1O1TgPdIWh34MGVU5xZJdwFnAW9qqPNG23+ur28G2m/m96WMVNxRjzse2KCW7UIZwaEmLT/tRd8PlXS7pHspo0ZbNJTdb/vOTvoAgKQzgVWBL9RNo4AfS5oFTAPWpowOtbvC9hLbzwD3dayvB4uAS+u5zQBeaKj7RV6ZyO0GfN92m+0FwI+A3WrcN6VcB2zfDNzbhz5MpoyijLXd3Zeiz9m+sr5ujNue9fX19dpdBqxYk8HptY8jKCN/F9Tz2K2WAVwPHCnpTEkfoIzs9Znth4CVJY2hJDRfBHaV9CZgpO2Hl6beiIiIiMFmyI7gUG5625bimMm2T+2i/MWG14t5Ob7DgAm2J3dRZ6/VUaRjge1sz5N0EPDJXvQBSUcAuwO72F5SN38XmArsZ7tN0gM0TAHrrr6l0Bjzv9lu66KsXVuHfzvzEq9M1FfqUH49Zc3NKOAv3dTT+JVpx2v3a9uHdnaQpBUoSeZMSlJzCWX9zLUAtn8iaSZlzc844Ejg4G760Z1rgQ8B69XRxe/U99cuZX0RERERg85QHsGZCWwh6V31/WHAncCzwEY1kYBy83pvHVX4BWX0ZAyApOGS3tuLtqYCx7VPT5I0UtLmtWw6cETdvg7wkR7qWpOy9ucpSSMpN8w9qutNxgH72n6hQ31zanKzO2UqXX8ZQYlfe2K2EnB/F/v+BjhK0jBJqwEHANfUuM9qqGdryjS2dg9T1+1I2hVYr0O9kynTt6ZLah/jXACs0ctzuBrYq05No7azVUP5tcDpta9/pkx126NuR9JGwBO2LwK+Amzdy3Y7M50yctM+Re9GyjWd3uUREREREUPMkB3BqaMfhwA/rE/xmkf5Zn0McBdwoKRJlG/zD63HXF/XtUyVNJxyA38FcHsPbU2p62tm1MXjKwDnAXcDZwKT66L0OZQb6u5cVfv5B2AuZXF8b26ax1Ompl3dsIB9B8oN8nn1QQL31L/+8hTwdkm3UBbZH1jXwHS275mUhw60Tz+bYvvX9fWhwA8kfZ4S65sbjvsScLGkoyk3/I92rNj2ZZJepCQ5ewM/Aw6pU87aHzLQKdsP1jVUF0pamXLNb6SsfYGSXBzJy6MovwN2tT23vhcwVtIiykjUZ7tqC6CuF9oPWB+4RtJTttuTq2uBt/ByQjOdMnqXEZyIwWTtUYwYd3aXxSuOWr+JnYmIaD3D2tr6OktrcKtPIptoe8vl3ZdW1v6kNNvrLu++xKu0tcrCwmXRSgsoW11i3VyJd/Mk1s2VeDdPK8W6PmSgT0s6hvIUtYiIiIiIGGSG7BS1rti+jvLbMMtVh9+tabSH7e4WyzdVfeTyNh02v1RHwDJ604lWubYRERERrShT1CKGnkxRi36VWDdX4t08iXVzJd7N00qxzhS1iIiIiIgY0pLgRERERETEoJEEJyIiIiIiBo0kOBERERERMWjkKWoREREDyPD5T8LT87osf3bh8zBylSb2KCKitSTBiYiIGEienseis07psnjEaZNgzIZN7FBERGvJFLVlJOl0SROXdz8AJF0naZ++ltXyDSQ92Y992VnSHv1VX0O9h0v6cQ/7XCTpU/3ddl/6sAx1T5T0R0ltkjZ9LdqIiIiIGMyS4MRrZWeg3xOcIeDnwI7An5Z3RyIiIiJaUUtNUZO0F/A1YDgwDzgGGAN8C7gD2Bx4CTjc9ux6zGHAcZRzfQY41vb9kg4HDgLmA5sCfwU+avuJetzJwP71uMeAo20/IWkN4EJgY+DR2o//7aHflwHvBEYCDwFH2p4vaWdgEnALsC3QBhxg+74Ov3Y/Ang3sCawJTABWKn27au2L29obidJ44DRgG2P61VwX+7rRMoN9srAcbZvqNs/CIyv7S4CTrB9s6R3AhcBq1Cuy0XANOBfgBUk7QZcDkwEfgmsU+v+H+AY24u6uxaSRgD/QUmYHgP+0NDX7YBzKYn6PwATbP+ow/nsAnwbOLDGbh/b+9eyw9vfL20faj1dfVZOp1z3NYANgYeBj9l+vqv42/5drfMV2yUdA2xm+3hJW1M+M1vbvlXSecBdti/oqt6O6o9mDXpD5TwHgsS6/8yf+wiLetgn8W6exLq5Eu/mGcyxbpkER9LrgSnATrZnS/oEcBlwCrAZ8BnbM2pCcwmwpaQdAAE72l4oaW9gMrB9rXYryk3jnyV9H/g0MF7SwcBGwDa2l0g6FjgHGAucCiywvbGkdSmJlXvo/mdtP1nPY0Ltc3visQlwhO1jJI0HvgSMtX0GcEY9ZgowzfYzku4A3m97saT1gNslTbM9v9b3ZkqCshrwsKQLbT/YyzCvA9xj+0RJOwE/kvQ2ShL5ZWBP2wskbQJcVds6DviV7TNrX9eqydv5wKq2T6zbhwEH2X6qvr4YOBI4v7trQUli30pJOv4BuB6YU485Bfim7Sm1zjUaT0bSWOBzwF62H5O0ZQ/n3+c+9PBZgZJUbUVJrqfV7d/voR+dmQ6cUF/vCsys/95a/z2nL5W1yq8XL4tW+pXmVpdY96/hCxf2uE/i3Rz5bDdX4t08rRTrpUnEWibBAd4H3N0+MgP8ADiPciP/kO0ZdfsU4AJJqwMfpozq3FK/ER8GrNVQ5422/1xf3wzsXl/vS7kxvaMe1z76A7AL5cYX209K+mkv+n5ovdkeAbwOeKCh7H7bdzb04cONB0o6E1gVOKxuGgVMlvR2ymjV2pRRgptr+RW2lwDPSLoPeBvQ2wRnEXBpPbcZkl6odb+/1nN9w8jCijXBuh6YWEc5flv/OrMCcGJNModTrkPjSEZX12IX4GLb/wf8n6RLa3+obX1R0luA39i+paG+I4AXgF1tL+jl+S9NH7r7rEBJTP8KIOkWShz7zPZDklaWNIaS0HwR+FIdHRxp++GlqTciIiJisGmlBGcYZQpXX4+ZbPvULspfbHi9mJfjMYwy3WlyF3X2Wh1FOhbYzvY8SQcBn+xFH5B0BOUme5eatAB8F5gK7Ge7TdIDlGljPda3FNpjPgz4te1DO9nnJ5JmUtbbjKOMyhzcyX4HUZKCHWw/K+lfgXf0ot9dxtv2JEm/AHYD/kPS1ba/VIvvpoxkbczLyd9LvHLdWWPclqoPdP9Z6azOlbupqyfXAh8C1qsJ6Hfq+2uXoc6IiIiIQaWVHjIwE9hC0rvq+8OAO4FngY1qIgHlRvre+q39LyijJ2MAJA2X9N5etDUVOE7SWvW4kZI2r2XTKaMDSFoH+EgPda1J+Ub/KUkjKQlAj+ralXHAvrZf6FDfnJrc7E6ZHtVfRlDi156YrQTcD1wN7FWnprX3b6v670bAE7YvAr4CbF13WcArp4ytCTxZk5s12tvphenAIZJWlLRy43GS3mH7Ydvfo6zD2rrhuDso1+bSOt0OyhqYzer1HEFZN7NMfaD7z0p/m04Zubmxvr+R8hmZ/hq1FxEREdFyWmYEp45+HAL8UNKKlMX9B1PWh9wFHChpEuVb8kPrMdfXdS1TJQ2n3MBfAdzeQ1tT6vqaGXXa0QqU6XB3A2dSpojNpqzDuLqHrl9V+/kHYC5wG6+8Ee/KeMrUtKsbpoXtQLmhPa8+SOCe+tdfngLeXqdSrQIcaHsR8GBda3JhvcEfQbm5vpWyxmmspEWU0Z7P1rp+RkkK7qI8ZOC7wD9J+j1lIf4N9G404wLKGqvfU+I3g7IeBuAz9SECi4CF1KmD7Wzfq/Jo7F9I+pTtaZKuAWYBfwTuA96wLH3o4bPSZ5K+TXm4xPrANZKest2eWF4LvIWXE5rplNHAjOBEDCZrj2LEuLO7LF5x1PpN7ExEROsZ1tbW11lfA4vKk8gm2u5pAXlEFG2tsrBwWbTSAspWl1g3V+LdPIl1cyXezdNKsa4PGejTEpFWmqIWERERERHRrZaZotYV29dRnmK1XOmVv1vTaA/bf2l2f7pSH9+8TYfNL2UErHla5bMSERER0YpafopaRPRZpqhFv0qsmyvxbp7EurkS7+ZppVhnilpERERERAxpSXAiIiIiImLQSIITERERERGDRhKciIiIiIgYNFr+KWoRERGDxfD5T8LT87rd59mFz8PIVZrUo4iI1pMEJyIiYqB4eh6Lzjql211GnDYJxmzYpA5FRLSeIZPgSPoXYGXb3+zHOtuA1Ww/1191LmU/dgYmdvZbNt2VNexzEXCb7XP7qT+nA/9me1F/1NdQ7xxgH9uzuijfgHIe6/Znu33pwzLW/QHg34GV66aDbN/d3+1EREREDGYDcg2OpH5PvGyf35/JTXTrNGDE8u5EK5H0RuBCYKztTSg/XvvH5duriIiIiNYzYEZw6mjIycCHgBuAL0s6Gdif0s/HgKNtPyFpBPBvwF7AYuAR2x+p9XR1zOnAqrZPlPQgsH/7t+OSPg38P9tHSHonMAlYl3KTPsn2D+p++9V2nwZ+1Ytz2hWYAKxU+/NV25fXsuuAW4FtgdGAbY+T9Hrg6oZq3gxcbPsESZcB7wRGAg8BR9qeX/dbUdL3an1twAG27+sx8C/bXNI1wJuA64HjbS+StDrwDWCzeh6/BT5ve7Gk04ADgRdrm7sAX6313SRpCbAz8EHgs7yc9Jxoe3qNwxzgEmB34A2U0aZza9kOwHnAC8DN1B95krQCcC7wAWAh8Jzt7RtPRtJIYAowF/gCJVn4+8hL40jM0vShlnX3WWkDxgMfAdYBTrL9k27ifxwwxfb9ALZfqG22j4i9C1gdeAdwO3AWcA7wFuCntk/qpu5XqT+aNegNlfMcCBLr/jF/7iP0Zug78W6exLq5Eu/mGcyxHjAJTrWC7Z0BJB0MbARsY3uJpGMpN3RjgS8CG1KSkkWS1u3FMY0uAQ4DPl/fHw6cUEeOfkj5Fv0PklYDbpM0k5LUfB/Yzvb9NZHqyR3A+2sysB5wu6RpDUnJm4EdgdWAhyVdaPtBYIt6Pv8I/IRyMw/wWdtP1rIJwCnAuFq2CXCE7WMkjQe+1Ml5d+d9wHaUZOVXwCdru98AZtg+qiYWl8H/z96dR9lV1Wkf/4bEEEFGiWIRFVARASE2MygGQUQbUFEeQOapFURakUheoAH7RQEBjb44MSnQID4MuhDRtAIJSgCBEJBGI6MQ4hBMJAmQSiep94+zS2+KmqtyU/fW81mLxbn37LOH371Z6/zu3vsUR0u6ATgFeJ3tl0usXrb9aUknlDgtKn2dAvzAdltJCm4DxtW0vYbtncsSs0fKkrn/Ba6j+iymShLwmVJ+G2BPYPPyOa9XOxBJ6wM3AT+y/fXyXk/j71Mfuvuu2P59qXOB7e0l7QqY6rPsyhbA05JuB9ajSiT/j+3Wcn5bqlmdRVTfq/OAD1L9G35K0iXlu9MrjfLXiweikf5Kc6NLrAfPyNbWngsxPP4NDwX5btdX4l0/jRTr/iRiQ22J2pU1x/tR3cTOkDQT+DSwcTm3D9Wv5UsA2m/6e7imYzsHSxolaStgHapZo82AdwDXlet/RTVb8g5gJ2BG+y/swCW9GM9Y4AZJjwBTgPWpZmDaXW97ue0XgN8Bb2k/IemNwA1UN9BPlLcPl/SApN8Cn6AkQsUs2w+W43tq6+qlH9peZHspVXzeV97fD5hY4jGD6kZ7M2ABMAv4L0nHUc2OLe2i7rcAUyT9D/BDYENJG9acvw7A9tPAfKrk5+3AS7anlnMGXijlnwRGApdLOqxDW2OAXwPfbE9ueqmvfejuu7JCnVSfR4ukMd20PwrYlWrGZ0eq5Ld2p/EU2y/YXgY8DPzCdqvtF6k+h75+3hERERFNaajN4NRu1h8BnGP7ik7KjejkvZ6u+Qfbz0h6lOoX8AlUS8DaJI0Anrc9vuM1kj7cmwF08G3gZmD/Uv8fqG7A2y2uOV5G+TzKsrBbgFNt313eew9wPNXMyFxJn6CaZem2rn4aQbXkrP34I7af7FhI0k5UN+Xvo5qd2tv2w53U9wPg87Z/XGaBXqLnOHT1GWP7BUlbUn12ewDnS/qXcnoJVUKxn6SbSkIAsJQVE/qOyUaf+lDOdfpd6VhnmcGD7j+TPwL3lWQXSQYO76Z/g/l5R0RERDSNoTaDU+tm4IT25UeSVpe0TTn3E+CzZS8O7UvUerimo+8Dx1LtIWmfOZoFvFQ7KyBp85Jw3A28S9LbyqljezGGdYGnS3Lzfqrlc90qS59uoNqPcUOHul4A/lb2lxzdi/b74gBJa5b2D6VaIgVVTCdJGln6t4GkTcqSrLG2p9k+C3gE2Kpcs5BqVqy27+0b5o+hmunoye+BV0varbT78fY6JY2leiLez6mW6L1AtWQRYHlpYwHwQ0mvKu8/AWxfrt8DeP1A+kD335X+uBZ4n6TRJdH+AJAnqEVERET00ZD9/FnZ/AAAIABJREFU1df21SVxmVZ+/V6NarP3Q1T7D84FZkpaQrXh/uM9XNNR+96W+2w/U9pcKmlfYLKkiVTLoP4CyPZfJf0b8BNJ86j2VPRkEvAtSZOolhV1NrvR0a5UsxKvK3uKoNr38jWqxOP3VBvn7wd26EV9vXUn8GOqpVF38s8leJ+lenTxQ2XjfGt573+BGyW9mirOM6j2vUC17+l2SS9TzbJ8FvixpOeAacDfeuqM7VZJB1PF72XgduCZcvqNwKUlGRsF/Ixq1uZN5do24NOSLiztfoxqT9KVZTndXTV19asP3X1Xeqq3i7amS7oVmEk1IzOD6oEWETGcrD+W0ZPO77bIqLEbdns+ImK4G9HW1tZzqYhoJm2NsrFwIBppA2WjS6zrK/Gun8S6vhLv+mmkWJeHDHS3beAVhvIStYiIiIiIiD4ZskvUGoVe+Xdr2t1k+z/r3Z+uSBpPte+oo4ttX1bn7gxLjfJdiYiIiGhkSXAGyPZfWfFxzUOS7Zk0QD+bWaN8VyIiIiIaWZaoRURERERE00iCExERERERTSMJTkRERERENI0kOBERERER0TTykIGIiIghYOT852He3B7LLWx9CVZfow49iohoTElwIiIihoJ5c1ly3qk9Fht91mQYt2kdOhQR0ZiS4ESnJJ0NfNn2klXdl44kPQ3sY/uRHsq1AWvZXtTh/Y8Ac2z/ZuX1sn8kXQPsDryBTvoeEREREd3LHpxhStLIHoqcBYweIn0ZbB8Bdqhzm711OflbORERERH9NqKtrW1V92FYk7Q3cC4wEpgLfBIYB3wdmAFsAywFjrT9aLnmCOAEqhm4F4Djbc+SdCTwCWA+sBXwd+Bjtv9czh1U2tgCOAbYo7w3Clhc6pkp6Zul/t8Cy4EJ5f9fBbYGxgB3ACfbXtbFuCZ0NYZybjLwK2B74BzgPuA7wFuAEcAFtq8qdb0H+BbwMnAP8GHgX20/0nGWpvZ1+zHwEnARsCHwfeAH5b3ny5ieKf25F9gZaAMOsv27HuJ9N3CS7fskfQt4r+0tJY0C/gy8uYz9YqofE14FnGP7B53FrEP8Oo7rXGCe7QskCbgO2ND2XyXdCky2/d891VvkH33EEDT/N79m0Rc/22O515w1mfV2eHcdehQRMWSM6EvhLFFbhSS9Dria6sb4UUnHANcAp1IlEifZnlZusK8Ctis3+wJ2s90q6YPAFcCupdrtga1tPyvpUuAzwOnl3LuBbWw/Udp/zvZF5XhPqgRjJ9uflnQCsEvNDfZlwDTbx0parfTzaODSbobY6RjKuXdSJQqfKfX/EHjE9kclvQGYIWkG8BjVzfwhtqeWm/vP9CHMY6iSmqeBT9huk3QzcL/ti0vbE4AtgaNsf1LS6cAZwCE9xPs2qiTxvhLbl0vfNwZ+Z/tFSacCX7N9taQRwDp96Hut24BTgAtKm/cA75N0I7Aj8Ou+VDZnzpx+dqNxtLS0DItxDgWJ9eAY2dra67KJd33ku11fiXf9NFKsW1pa+nxNEpxVa0fgofaZGeB7VDMVawGP255W3r8auETS2sC+VLMC91b3+owA1qup8y7bz5bje4D315z7dXtyU2wr6TRgfaoZms266et+wA6SPl9erwHM7mF8XY0B4DHbd9eU3RP4PIDtP0n6KdVelNWAl2xPLecs6ZIe2q31c+A62xf2UG6W7QfL8T1UcYbu4307cFrZN/M3YBpV8rEJVUIC1UzX/5H0ZuAXtu/tQ99r3QVY0miq5OoU4OPAc8Bvbb/Uz3ojIiIimkoSnFVrBH1fLjQCuML2mV2cX1xzvIwVP+N/bFgvN8o3UM1MzJDUQnWz3F27H7H9ZB/725XONs93jEUbPU9JLqPsJZM0ppPzdwB7S/q27Re7qaeruHUX77uAfwH+lSqhmUY1q7UJcCaA7cmSfkKVwP0/Sf9t+4wexvQKtl+W9BBwMPCnMq6LqJLM2/taX0RERESzykMGVq27gfGSNi+vjwAeBBYCby3Lo6DaV/Nb2wuAnwCHSxoH1QZ9Sdv2o+0xVDfx7bM9J3Q4v5AVl1PdDExqfyCApA0kbdJDG12NoTO/BP6t1L0h8CGqm/jfA6+WtFs59/EO/XqCalleexsdfRH4BfDzmtmjBfR+qViX8bbdSrXHaFLp/z1Usytbl2MkbWb7CdvfpdqTNJCHG9xWxnNbaXs2cCT/nC2KiIiIGPYyg7MK2Z4r6TDg2rIxfS5wKNVDBmYCB0uaTDWjcHi55s6yR+TmkmyMBq4HHuhj2wsknQncJ+kZ4GcdilwE3C7pZaqHDHwW+ArwUNkA31ree6qbZjodQxdOAr4r6WGqWZNJtv8HQNLBwLdKX26neihAu8+V6/4E3NLFWM8v1/6yPNThauD7kg7gnw8Z6FQv4n0bVYJ1v+2lkh4Hnqp5vPZJknYHllDFrNv9Q5Ju4p9J0CxJj9j+QE1b/5d/JjS3USVUQ+5x1xHRD+uPZfSk83ssNmrshnXoTERE48pT1Iagsun9Qtvb9VR2qGqGMTSxtkbZWDgQjbSBstEl1vWVeNdPYl1fiXf9NFKsy0MG+vQUtSxRi4iIiIiIppElakNQeWJYQ8x8lEcuv6nD28/Y3o8GGUO9SfoOsFOHt5dmtisiIiJi4JLgxICURCb6wPanVnUfIiIiIppVlqhFRERERETTSIITERERERFNIwlOREREREQ0jSQ4ERERERHRNPKQgYiIiCFg5PznYd7cHsstbH0JVl+jDj2KiGhMSXAiIiKGgnlzWXLeqT0WG33WZBi3aR06FBHRmLJELepK0tmSRg/g+gmS7h/MPnXSxlRJ+6zMNrpp+1BJD0taKunEVdGHiIiIiEaWBCcGlaSRPRQ5C+h3gtMoJPV3dnQmcBBw7SB2JyIiImLYyBK1JiVpb+BcYCQwF/gkMA74OjAD2AZYChxp+9FyzRHACVTfixeA423PknQk8AlgPrAV8HfgY7b/XM4dVNrYAjhG0h7lvVHA4lLPTEnfLN2bLmk5MAFYDnwV2BoYA9wBnGx7WTfDGyXpu8DOQBtwkO3fSdoQ+AGwdqnrp7a/UMZ2NrB5ObcZ8ABwHnAR8GbgJtsTa9rYU9IpJWa2fVqp52lgH9uPdHxdji8H3gc8WWLxJeBA4G/AVGAP29t1NbCaepfXvi/p7aWPW5bk6W/AObYvkCTgI7Y/0U3MVtDS0tLbog1tuIxzKEisB27+7CdZ0suyiXf9JNb1lXjXTzPHOglOE5L0OuBq4L22H5V0DHANcCpVInGS7WklobkK2E7SewABu9lulfRB4Apg11Lt9sDWtp+VdCnwGeD0cu7dwDa2nyjtP2f7onK8J/AdYCfbn5Z0ArCL7UXl/GXANNvHSlqt9PNo4NJuhrglcJTtT0o6HTgDOIQq8drX9iJJrwKmSNrb9s/LddsC2wGLqJK884APUv07eErSJbYfK2W3APakSpTuljTd9i29CP8bbO9exrYvsA9VMvkycEMvru9USTTXlvQGYGPgf4A9gAvK/2/rS31z5szpb1caRktLy7AY51CQWA+Oka2tvS6beNdHvtv1lXjXTyPFuj+JWBKc5rQj8FD7zAzwPeBbwFrA47anlfevBi6RtDawL9WN+L3VhAAjgPVq6rzL9rPl+B7g/TXnft2e3BTbSjoNWJ9qhmazbvq6H7CDpM+X12sAs3sY3yzbD9b0Zd9yPBK4QNIupf8bAuOB9gRniu0XACQ9TBWjVqBV0izgLUB7gnOl7aXAIknXUc3K9CbBuarmeHeq2Z8XS5tXAv/Rizq6cgdVMrMJ8F3gC2U/055UyVpERETEsJcEpzmNoFq61ddrrrB9ZhfnF9ccL2PF786i9oNyw30D1UzQDEktwHM9tPsR20/2oa9d9eVkqqRsR9uLJV1CNQPT1XXdjaljH9vjuZQV966N6VB2Uc1xfz6H7tzGPxOcQ4HdgIMBbD81iO1ERERENKw8ZKA53Q2Ml7R5eX0E8CCwEHhrWY4G1b6a39peAPwEOFzSOKgeFiBp2360PYYqUWif7Tmhw/mFwDo1r28GJrU/nEDSBpI26Ue7AOsCfyrJzUbAh/tZD8BhkkZJWhM4gGr2BOAJquV6lL1Gr++mjjuAAyStUZbfHTaA/kCV4HwAWM/2bOCXwBeB2wdYb0RERETTyAxOE7I9V9JhwLVlQ/pcql/8x1E9petgSZOpZi0OL9fcWfaz3FySjdHA9VSb8fvS9gJJZwL3SXoG+FmHIhcBt0t6meohA58FvgI8JKkNaC3v9WdG4hvA9ZIepEqw+rQvpYMZVAnERsD1NftvzgCulHQccBfwTFcV2L65LJd7iGoW6x5WXPb3CpIOptpXsx7wYUmTgL1sP2p7tqSFwK9L8duBN5EEJ6I5rD+W0ZPO77HYqLEb1qEzERGNa0Rb22CuoImhTNIE4MLunuIVg0vSWrYXlhmcy4A5ts9Yxd1qa5SNhQPRSBsoG11iXV+Jd/0k1vWVeNdPI8W6PGRgRF+uyQxOxMp1laSNgVdTzYZ9ZdV2JyIiIqK5JcEZRmxPpXpM8pAn6Waq5Ve1nrG936roT3/Z/mjH9yR9CPhyJ8VPs33ryu9VRERERPNKghNDUqMlMn1RkpgkMhERERErQZ6iFhERERERTSMJTkRERERENI0kOBERERER0TSS4ERERERERNPIQwYiIiKGgJHzn4d5c3sst7D1JVh9jTr0KCKiMSXBiYiIGArmzWXJeaf2WGz0WZNh3KZ16FBERGNKgjPMSHoa2Mf2I5IuA660/atuyp8NvMb2KQNs90hguu0/DKCONmAt24sG0pdu6j+bQRhrP9veGzgfaANeBfwYOMN2W737EhEREdHIsgdnGLN9bHfJTV9I6ilZPhLYbDDaGsp6EYeu/Br4F9vjgfHA+4F9B61jEREREcNEZnCamKSdgQuAtcpbEzucnwpcaPsWSesAXwO2B5YDv7J9Yofy7wSuBU4E/gjcD1wM7An8l6THgHOAMVTfrS/Zvk7SUcB2wDcknQOcYvuXkr4AfLyUfQ44zvafexjWSZI+CrwWmGj7xtK3a4C3A6sDjwNH254vaQLwdeA3wE7A/wKHAWcBWwHPAvvbfrHU/yZJtwJvBn5f6nlB0veB+21fXNr7x+tyvBB4GzAW2FbSx4AvAS8D15fjLmefOrw/BhhN9Tm0zyxtDqxNlSQ+AJwHXFT6eZPtFT7bnrS0tPSleMMaLuMcChLrgZs/+0mW9LJs4l0/iXV9Jd7108yxToLTpCStD/yI6uZ9uqSRVDfIXZkMLAK2sb1c0gYd6tujlDnQ9qOSNqZKMn5n++xSZj3g3baXSXo98ICkKba/J+kISjJVyh4KvBXYqbR3PNUN+yE9DG2B7e0l7QoYuLG8/++2ny91nwOcCkwq57YAjrB9nKRvAlNKu7NLMnMwcFkp+x5gvO2/SLoC+A+gN0vWdgbea/tFSa8DLiltPCbpc724HknbAVdQJUrfBn5ac3pbqiRxETCDKsH5INW/4ackXWL7sd60AzBnzpzeFm1YLS0tw2KcQ0FiPThGtrb2umziXR/5btdX4l0/jRTr/iRiSXCa187Ao7anA9heBsyX1FX5fYBtbS8v5Z+vObcXsDewl+3afw2LqZKMdmOBKyS9DVgKrE81q3JPJ+3tR3XDPqP0aRTwQi/GdV35/z1Ai6QxthcDh0s6hGrmY02gdq/PLNszy/EM4M22Z5fXD1AlWu1usf2Xcnw58P960SeAG2pmgXYCZtQkHFcAX+2pAtv3A1uX5PJGqmTrznJ6iu0XACQ9DDxkuxVolTQLeAvQ6wQnIiIiolllD07zGjGIdf0BGEmVkNR6scMm+G8DU4F3lr0ks6mWW3XVv3Nsjy//bWV71170ZTH8I2EDGCXpPcDxwN623wmc0aHdxTXHyzp53VWiP4Jq0z9UCVvtv5eO46pdYlZ7XZ+V5PJnwAE1b/d3DBERERHDShKc5jUd2KLsw0HSyLKErCu3ABMljSjla5eoPU216f1cSQd2U8e6wNO22yS9nxVnRhYA69S8vhk4ob1PklaXtE3vhtZpuy8Af5O0OnB0P+sB+FdJY8vxkcAd5fgJqv1JSHoDsHs3ddxDtQ+nffxH9tSopM0krVaO16RafvbbvnY+IiIiYrjLr75NyvY8SfsDXy03zMvpfi/J56j22DwiaSkwDTippr7ZZR/OFElr8M8b/1qTgG9JmgQ8XP5rdwlwoaRTqB4OcHVJoqaVJWqrAd8CHurHcH8GHEr1UIDZVA8/2KEf9QDcRrXMblNgFvD5mv7fIOkhqhmte7uqoOzf+RTwU0nPAz+herjBS920+2HgyBL7kVT7py7rpnxENJv1xzJ60vk9Fhs1dsM6dCYionGNaGvLn9mIGGyS1rK9sBwfBRxj+92ruFvt2hplY+FANNIGykaXWNdX4l0/iXV9Jd7100ixLg8Z6NPWi8zgRKwcJ0k6gOrf2DzguFXcn4iIiIhhIQlODCmSzgT27+TUXrb/Wu/+9JftL1H97Zt/KI+P/u9Oit9k+z/r0rGIiIiIJpcEJ4aUcqPflDf7JUEbv6r7EREREdHM8hS1iIiIiIhoGklwIiIiIiKiaSTBiYiIiIiIppEEJyIiIiIimkYeMhAREbGKjZz/PMyb26uyC1tfgtXXWMk9iohoXElwIiIiVrV5c1ly3qm9Kjr6rMkwbtOV3KGIiMaVJWqrkKSnJW1Vji+T9J4eyp8t6cIBtjlB0v0DqWOwdDeewRhrJ3VuJ+macryupC90OD9V0j69rKtF0h29LHu8pN9LelDSWl2U2UvS/ZJaB3vcEREREcNJZnCGCNvHruo+NDvb9wOHlJfrAl8AvtLXeiSNsj0H2L2Xl5wEHGb7vm7KPAkcB3wMGNPXPkVEREREJQlOnUjaGbgAaP8Ff2KH81OBC23fImkd4GvA9sBy4Fe2T+xQ/p3AtcCJtqdJ+hBwOtXN8RLgc7bvKWXPAQ4CngN+04u+fr6UHwUsBo63PbOcayvtfBR4LTDR9o2l/S/XVLMFcABwL/ADYO3St5/arp052UjSrcCmwBPAAbZf6kUfxwPfr3nrrcDptr/eVSwkTaCK8XbAN4F1Jc0EXrK9S6lnT0mnAOMA2z6ttDcVmA7sCCyW9GngftsblPM7AueVcQKcafunkn4IvAW4WtIDttsTrBXYfrzU8+FOxvp9oBV4W6nrJuAnwBeBNwJfs/31nmJWq6WlpS/FG9ZwGedQkFgPzPzZT7KkD+UT7/pJrOsr8a6fZo51Epw6kLQ+8CNgf9vTJY3knzfCnZkMLAK2sb1c0gYd6tujlDnQ9qOS3gL8B/AB2wskbQn8DHiTpH2B/YDxwMvAj3vR5atsX1Ta2hP4DrBTzfkFtreXtCtg4EbbtwK3lmuOA44CppTy+9peJOlVwBRJe9v+eTm3HVUi90IpfwhwaU8dLAnX+NLe3lQJ4TXdxaJDFe0JyvgO728B7EmVHN0tabrtW8q5rUq9SyVt3H6BpHVLjD5k+0+S3gDcJ2kr2wdKehr4uO1HehpXN7YE9gBGAk8D6wDvBd4AzJJ0ue1Fva1szpw5A+hKY2hpaRkW4xwKEuuBG9na2qfyiXd95LtdX4l3/TRSrPuTiGUPTn3sDDxqezqA7WW253dTfh/gAtvLS/nna87tBXyd6kb70fLeB6h+2b+zzEhcA4yS9HqqZVQ/tL3I9jLg8l70d1tJd0p6BPgqJZGocV35/z1Ai6R/LKmS9AHg88CHbS+muiG/QNJDwANUSUJtfVNs/912G9Vsz1t60b9/KDM53wb2K3HqLha9caXtpSVZuA54X825a20v7eSaXYBNgJ+VNn8GtFHNKg2WH9tuLbNbs4BbbS+3/Rwwn2rGKSIiImLYywxOfYwYxLr+QPVr/nbAzTX1/9z24R0LS+pT25JGAzcAu9meIamFamlbrcVQJWqSoHyPJG1DNZPxAdvtzzs9GVgP2NH2YkmXsOIek8U1x8uAV/ehr+NKXw+1/Vh5u7tYvKO3ddfU1VbzuqsZkhHAw7Z362P9fdExTh1f599yREREBJnBqZfpwBZlHw6SRkpar5vytwAT25OTDkvUngbeD5wr6cDy3n8De5flWJRrti+Ht1UvtWZZGndUD30dQ3Wz/Gx5fUJPgyvtbQTcSLWZ/g81p9YF/lSSm42AV+wx6Y/yNLJbgNNs31VzqrtY1FoArCGpY2JwmKRRktak2kPUmyelTQfeJukfDx2QtH1fk8uIiIiIGLj86lsHtudJ2h/4arlxXg6c0s0ln6PaY/OIpKXANKoncbXXN7vsw5kiaQ3b35N0KHC5pFcDo4G7gPvKQwt2BmYCc6hu2Dfqpq8LJJ1JtYfkGarlVr1xLDAWuLjM6rSP4xvA9ZIepEqabutlfT3ZH3g7cJqk08p7F9i+pqtY1F5cPpNrgN9Kml/zkIEZwC+pYnR9zf6bLtmeL2k/qqV4k0ubTwL7suIMUJckvZtqSdzawAhJBwHH2J7S/ZUR0RTWH8voSef3quiosRuu5M5ERDS2EW1tvbr/iojm0dYoGwsHopE2UDa6xLq+Eu/6SazrK/Gun0aKdXnIQJ9WxWSJWkRERERENI0sURumOvm7Ne1OK498HhIkHQuc2MmpI9v/Nk+j6ORv97S72PZlde5ORERERFPKErWI4SdL1GJQJdb1lXjXT2JdX4l3/TRSrLNELSIiIiIihrUkOBERERER0TSS4ERERERERNNIghMREREREU0jT1GLiIhYxUbOfx7mze1V2YWtL8Hqa6zkHkVENK4kOBEREavavLksOe/UXhUdfdZkGLfpSu5QRETjSoITdSHpbODLtpf08/oJwIW2txvMfnVoY2pp45aV1UY3bZ8OHAgso3oU4rm2f1jvfkREREQ0uuzBiUEhaWQPRc4CRtejL6uSpP7+aHCx7a1tvwv4EHCppPUGsWsRERERw0JmcJqMpL2Bc4GRwFzgk8A44OvADGAbYClwpO1HyzVHACdQfR9eAI63PUvSkcAngPnAVsDfgY/Z/nM5d1BpYwvgGEl7lPdGAYtLPTMlfbN0b7qk5cAEYDnwVWBrYAxwB3Cy7WXdDG+UpO8COwNtwEG2fydpQ+AHwNqlrp/a/kIZ29nA5uXcZsADwHnARcCbgZtsT6xpY09Jp5SY2fZppZ6ngX1sP9LxdTm+HHgf8GSJxZeoZmT+BkwF9uhu9sn2CzUvX1PGt1ppa2rp9w7AxlSf5XPAZ4AWYKLt67uJ2yuUP5rV9IbLOIeCxHpg5s9+kr5Mbyfe9ZNY11fiXT/NHOskOE1E0uuAq4H32n5U0jHANcCpVInESbanlYTmKmA7Se8BBOxmu1XSB4ErgF1LtdsDW9t+VtKlVDfVp5dz7wa2sf1Eaf852xeV4z2B7wA72f60pBOAXWwvKucvA6bZPlbSaqWfRwOXdjPELYGjbH+yLOk6AziEKvHa1/YiSa8Cpkja2/bPy3XbAtsBi6iSvPOAD1J9/5+SdIntx0rZLYA9qRKluyVN7+WStTfY3r2MbV9gH6pk8mXghl5cj6RPAZ8F3ggcbftvNafHAe8FNgQeB75mexdJOwA3AX1KcBrlrxcPRCP9leZGl1gP3MjW1j6VT7zrI9/t+kq866eRYt2fRCxL1JrLjsBD7TMzwPeA8cBawOO2p5X3rwbeKWltYF+qG/F7Jc2kuvl/Y02dd9l+thzfA7yl5tyv25ObYltJd0p6hGp2Znw3fd0PmFjanEGVhGzWw/hm2X6wk76MBC6Q9BDVTMdWHdqeYvuFMjv0MPAL2622XwRmdRjTlbaXlkTsOqpZmd64quZ4d6rZnxdtLweu7E0Ftr9je3NgJ+B0Sa+tOX297eW251DNCv2ovP8AsJGkMb3sZ0RERERTywxOcxlBtbSpr9dcYfvMLs4vrjlexorfmUXtB5JGU81U7GZ7hqQWqmVU3bX7EdtP9qGvXfXlZGA9YEfbiyVdQjUD09V13Y2pYx/b47mUFX8Q6JhQLKo57s/n8A+2fytpDtVSvhvL252OwfYySZB/yxERERFAZnCazd3AeEmbl9dHAA8CC4G3luVoUO2r+a3tBcBPgMMljYPqYQGStu1H22OobrLbZ3tO6HB+IbBOzeubgUntDyeQtIGkTfrRLsC6wJ9KcrMR8OF+1gNwmKRRktYEDqDaGwTwBNVyPcpeo9d3U8cdwAGS1ijL7w7rqVFJ76g53gR4F/Bo11dERERERGfyq28TsT1X0mHAteVpXnOBQ6n2b8wEDpY0mWoG4PByzZ1lP8vNJdkYTbWf44E+tr1A0pnAfZKeAX7WochFwO2SXqaamfgs8BXgIUltQGt576m+j5xvANdLepAqwbqtH3W0mwH8EtiIallY+/6bM4ArJR0H3AU801UFtm+WtAvwENUs1j1UM0zd+aKkLYH/pfp8TrL9uwGMIyIayfpjGT3p/F4VHTV2w5XcmYiIxjaira3fK2miQdTjb8jEiiStZXthmcG5DJhj+4xV3a+irVE2Fg5EI22gbHSJdX0l3vWTWNdX4l0/jRTr8pCBEX25JjM4ESvHVZI2Bl5NNRv2lVXbnYiIiIjhIQnOMGB7KtVjkoc8STcDb+rw9jO291sV/ekv2x/t+J6kDwFf7qT4abZvXfm9ioiIiGh+SXBiSGm0RKYvShKTRCYiIiJiJcpT1CIiIiIiomkkwYmIiIiIiKaRBCciIiIiIppGEpyIiIiIiGgaechARETEKjZy/vMwb26vyi5sfQlWX2Ml9ygionElwYmIiFjV5s1lyXmn9qro6LMmw7hNV3KHIiIaV5aoRV1IOlvS6AFcP0HS/YPZp07amCppn5XZRjdtHyrpYUlLJZ24KvoQERER0QyS4MSgkDSyhyJnAf1OcBqFpP7Ois4EDgKuHcTuRERERAw7WaLWZCTtDZwLjATmAp8ExgFfB2YA2wBLgSNtP1quOQLaXKv2AAAgAElEQVQ4ger78AJwvO1Zko4EPgHMB7YC/g58zPafy7mDShtbAMdI2qO8NwpYXOqZKembpXvTJS0HJgDLga8CWwNjgDuAk20v62Z4oyR9F9gZaAMOsv07SRsCPwDWLnX91PYXytjOBjYv5zYDHgDOAy4C3gzcZHtiTRt7SjqlxMy2Tyv1PA3sY/uRjq/L8eXA+4AnSyy+BBwI/A2YCuxhe7uuBlZT7/KO5yRNLf3eAdiY6rN8DvgM0AJMtH19N3F7hZaWlr4Ub1jDZZxDQWI9MPNnP8mSPpRPvOsnsa6vxLt+mjnWSXCaiKTXAVcD77X9qKRjgGuAU6kSiZNsTysJzVXAdpLeAwjYzXarpA8CVwC7lmq3B7a2/aykS6luqk8v594NbGP7idL+c7YvKsd7At8BdrL9aUknALvYXlTOXwZMs32spNVKP48GLu1miFsCR9n+pKTTgTOAQ6gSr31tL5L0KmCKpL1t/7xcty2wHbCIKsk7D/gg1ff/KUmX2H6slN0C2JMqUbpb0nTbt/Qi/G+wvXsZ277APlTJ5MvADb24vifjgPcCGwKPA1+zvYukHYCbgD4lOHPmzBmELg1tLS0tw2KcQ0FiPXAjW1v7VD7xro98t+sr8a6fRop1fxKxLFFrLjsCD7XPzADfA8YDawGP255W3r8aeKektYF9qW7E75U0k+rm/401dd5l+9lyfA/wlppzv25PboptJd0p6RGq2Znx3fR1P2BiaXMGVRKyWQ/jm2X7wU76MhK4QNJDVDMdW3Voe4rtF8rs0MPAL2y32n4RmNVhTFfaXloSseuoZmV646qa492pZn9etL0cuLKXdXTnetvLbc+hmhX6UXn/AWAjSWMGoY2IiIiIhpcZnOYygmrpVl+vucL2mV2cX1xzvIwVvzOL2g/KAwRuoJoJmiGphWoZVXftfsT2k33oa1d9ORlYD9jR9mJJl1DNwHR1XXdj6tjH9nguZcUfBDomFItqjvvzOfSk0zHYXiYJ8m85IiIiAsgMTrO5GxgvafPy+gjgQWAh8NayHA2qfTW/tb0A+AlwuKRxUD0sQNK2/Wh7DNVNdvtszwkdzi8E1ql5fTMwqf3hBJI2kLRJP9oFWBf4U0luNgI+3M96AA6TNErSmsABVHuDAJ6gWq5H2Wv0+m7quAM4QNIaZfndYQPoT0RERET0QX71bSK250o6DLi2PM1rLnAo1f6NmcDBkiZTzQAcXq65s+xnubkkG6Op9nM80Me2F0g6E7hP0jPAzzoUuQi4XdLLVA8Z+CzwFeAhSW1Aa3nvqb6PnG8A10t6kCrBuq0fdbSbAfwS2IhqWVj7/pszgCslHQfcBTzTVQW2b5a0C/AQ1SzWPVQzTF2SdDBwQSn3YUmTgL1qlhtGRDNbfyyjJ53fq6Kjxm64kjsTEdHYRrS1DfZKmhhqJE0ALuzuKV4xuCStZXthmcG5DJhj+4xV3a+irVE2Fg5EI22gbHSJdX0l3vWTWNdX4l0/jRTr8pCBEX25JjM4ESvHVZI2Bl5NNRv2lVXbnYiIiIjhIQnOMGB7KtVjkoc8STcDb+rw9jO291sV/ekv2x/t+J6kDwFf7qT4abZvXfm9ioiIiGh+SXBiSGm0RKYvShKTRCYiIiJiJcpT1CIiIiIiomkkwYmIiIiIiKaRBCciIiIiIppGEpyIiIiIiGgaechARETEKjZy/vMwb26vyi5sfQlWX2Ml9ygionElwYmIiFjV5s1lyXmn9qro6LMmw7hNV3KHIiIaV5aoDRJJT0vaqhxfJuk9PZQ/W9KFg9DukZI2G2AdbZJeM9C+lLrGS9Jg1NWh3gmS7u+hzKDEdCB9GEDdp0iaJWm5pH1WRhsRERERw0ESnJXA9rG2fzUYdUnqaZbtSGBACc4gGw8MeoIzDEwD/hW4c1V3JCIiIqKRZYlaP0jaGbgAWKu8NbHD+anAhbZvkbQO8DVge2A58CvbJ3Yo/07gWuBE4I/A/cDFwJ7Af0l6DDgHGEP1mX3J9nWSjgK2A74h6RzgFNu/lPQF4OOl7HPAcbb/3MOwTpG0F/Ba4DTbN5a+7QicB6xdyp1p+6eSXlf6/Pry/i9LH/8TWFvSTOBO2ydJugZ4O7A68DhwtO35kiYAk4F7gZ2BNuAg278rbZ8DHFTG8JuaeL0d+D6wBjAS+L7tFWZuOsR0RPk8tivnJrS/7m8fyrkjgBNKnF8Ajrc9S9KRwCeA+cBWwN+Bj3X3Gdi+r9T5inOSngb+C9gD2AiYBLyutLE+cFRfE+qWlpa+FG9Yw2WcQ0FiPTDzZz/Jkj6UT7zrJ7Gur8S7fpo51klw+kjS+sCPgP1tT5c0kn/e/HdmMrAI2Mb2ckkbdKhvj1LmQNuPStqYKsn4ne2zS5n1gHfbXibp9cADkqbY/l65yb7Q9i2l7KHAW4GdSnvHAxcBh/QwtOW2dynJw3RJvwKWAN8BPmT7T5LeANxXluIdAvzR9p7tfSxJy5nAPrY/XlP3v9t+vpQ7BziV6iYdYEuqG/RPSjodOAM4RNK+wH5UM0IvAz+uqe8E4Fbb/7cmPt3FdEIPY+9zH8oSRAG72W6V9EHgCmDXUmR7YGvbz0q6FPgMcHoP/ejO6rZ3lrQ9MBX4gu0dynLAc4F396WyOXPmDKArjaGlpWVYjHMoSKwHbmRra5/KJ971ke92fSXe9dNIse5PIpYEp+92Bh61PR3A9jJgfjfbTvYBtrW9vJR/vubcXsDewF62a79liwHXvB4LXCHpbcBSql/t3w7c00l7+1HN6swofWqfXejJ5aV/syTNAHYqbW0C/KxmfG1UCdQ9wMmSLqBaXjWlm7oPl3QIMBpYE/hDzblZth8sx/cA+5bj3YEf2l4EIOlyqsQDqmVcF0oaDdxR/mvXVUy7058+7AtsA9xbYjMCqE207rL9bE2d7+9lX7ryw/L/GVQzV+2vH6D6PCIiIiKCJDj9MWIQ6/oD1ezBdsDNNe+/aLut5vW3y/n9bbdJ+gPVcrWu+neO7SsG0K8RVInMCOBh27t1VkjSeKob98OoZmReMYtQZjqOB3axPVfSJ4B/qymyuOZ4Gf/8TnYZZ9s3SrqbKpmZBBwNHFpOdxbTpay436xj7Prch3LuCttndnG+qzr7azFUCXVJqNrrH4y6IyIiIppGHjLQd9OBLco+HCSN7LhEqoNbgImSRpTytUvUnqZKEM6VdGA3dawLPF2Sm/ez4i/2C4B1al7fDJzQ3idJq0vaphfjOqqUfxvVkqx7qcb6Nkm7txeStL2kEZI2ARbYvg44GdhW0mqd9Gddqhmkv0lanSoZ6Y3bqua0ZlkGeFRNH94K/Nn294EvAjvUXPc0r4zpU8CmktYrn8PBA+0D8BOqmalxpU8jJW3by3ojIiIiYiXJL799ZHuepP2Br0pak+rBAad0c8nnqPaDPCJpKdVyrpNq6ptd9oxMkbQGKy63ajcJ+JakScDD5b92l1At1zoFmGj76pJETSu/9K8GfAt4qIehtUq6C9gA+KTtvwJI2g+4QNJkqiVmT1Itz5oAfL6MaTXgU2XPz21UDyx4qIz1ZKrZld8Ds6keoLADPSgPaNgZmAnMKXHZqJwW1R6ZJVQzTf/e4doVYlr2Kl1EtZzrKeA+qlmefvfB9p1lv87NJfkZDVxf2ugzSRPLOMYC35e0GNjC9oL+1BcRDWb9sYyedH6vio4au+FK7kxERGMb0dbW1nOpiGgmbY2ysXAgGmkDZaNLrOsr8a6fxLq+Eu/6aaRYl4cM9GmLSJaoRURERERE08gStWGiPL55/05O7dW+HC1WLknHUv1dno6OtD2z3v2JiIiIaEZJcIYJ2/9J9Uc4YxWxfRlw2aruR0REREQzyxK1iIiIiIhoGklwIiIiIiKiaSTBiYiIiIiIppEEJyIiIiIimkYeMhAREbGKjZz/PMyb26uyC1tfgtXXWMk9iohoXElwIiIiVrV5c1ly3qm9Kjr6rMkwbtOV3KGIiMbVFEvUJD0taatyfJmk9/RQ/mxJFw6wzQmS7h9IHYOlu/H0Zqy18RuEvmws6d8Go65O6n2+hzJHSrphsNvuSx8GUPehkh6WtFRSZ38rJyIiIiJ6oelmcGwfu6r7MMxtDPwbcMkq7kejmQkcBExa1R2JiIiIaGQNl+BI2hm4AFirvDWxw/mpwIW2b5G0DvA1YHtgOfAr2yd2KP9O4FrgRNvTJH0IOB0YAywBPmf7nlL2HKqb0OeA3/Sir58v5UcBi4Hj2/9ivaS20s5HgdcCE23fWNr/ck01WwAHAPcCPwDWLn37qe0v1JTbSNKtwKbAE8ABtl/qqY81DpG0K9ACTLZ9cenn24HJwAbA6HLue5LWAK4EtgT+F5hlW8A3gU0kzQQet/3xMoP03nL988DRtv8oaWPgfuC7wIeANYBjbP+6tP1p4HPAn4CpNXF9HdVn9vry1i9tf652MJLeCPwI+ArVZ3W/7Q3KuY3bX/e3D+Vcp98VSRNKzO4FdgbagINs/66r4Nt+pNS5vOO58p1+ANiBKoH8OtV38DNUn9dE29d3VXdnWlpa+lK8YQ2XcQ4FifXAzJ/9JEv6UD7xrp/Eur4S7/pp5lg3VIIjaX2qm9b9bU+XNJLqhr8rk4FFwDa2l0vaoEN9e5QyB9p+VNJbgP8APmB7gaQtgZ8Bb5K0L7AfMB54GfhxL7p8le2LSlt7At8Bdqo5v8D29iWxMHCj7VuBW8s1xwFHAVNK+X1tL5L0KmCKpL1t/7yc244qkXuhlD8EuLQXfWz3etu7SXo98KCkO4FHqRKJQ2z/XtJawP2S7gbeAaxne4vS1/VKPZ+mSjC3q6n7PNunlHLHAudTJX5QJXd32z5d0iHl3K6StqZKHt5l+y+SvlVT3yHAH23v2aFtyuttgGuAE2zfWZKY7vS5D919V0qRLYGjbH9S0unAGaXf/TWOKkncEHgc+JrtXSTtANwE9CnBmTNnzgC60hhaWlqGxTiHgsR64Ea2tvapfOJdH/lu11fiXT+NFOv+JGINleBQ/Rr+qO3pALaXAfMldVV+H2Bb28tL+dr9E3sBewN72W7/hD8AvAW4s6bOUeWmf3fgh7YXAUi6nOqmtTvbSjoNWJ9qBmmzDuevK/+/B2iRNMb24lL/B4DPA++xvVjSmsAFknYBRlDd6I4H2hOcKbb/Xq69t4yjLy4HKDfyPwUmAEupEpnrauKxennvIWBzSd+kmtn4aTd1f7DMhLyGV37nFtm+pSYOF5XjCVSzVH8pry8BVFPuZEkXANP4ZwIIsDXVDf8+3c2YDEIfuvuuQDWj9WBNnfv2si9dub58j+dI+htVog/VzM5Gtd+diIiIiOGs0RKcEYNY1x+ofmXfDri5pv6f2z68Y2FJfWpb0mjgBmA32zMktVAtK6q1GKpErdwkjyrXbkM12/MB2+3PDT0ZWA/YsSQ8l1AtjVqhrmIZ8Oq+9LeDEVTLqkYAz9se31khSe8A9gA+CHy5LPfrWObNlGWCtp8qCdq1NUVqf7Zcxj+/k13G2/bdksYD7wcOo9q38u5yejbV8sUJQHuCs5QVH6hRG7d+9YHuvyvv4JWfx0D/rXWsr9PvTkRERMRw12hPUZsObFH24SBpZMflSR3cAkxsT046LFF7muoG+VxJB5b3/hvYuyw3olyzfTm8rXqpNcvSuKN66OsYqpvOZ8vrE3oaXGlvI+BG4DDbf6g5tS7wp5LcbAR8uDf19cGRpf2xVAnLVGAW8JKkw2r6t7mktSWNA5bZ/jHVHpWxVDNVC4B1aupdm2p/yp8lrQZ8qpf9uQP4UNlvA3BMTR82oVredx1V4rdtqRtgHrAncFjZAwXwZ+BVkt5aXn9ioH2g++9KRERERKwiDfWrr+15kvYHvlqWbC0HTunmks9R7bF5RNJSquVMJ9XUN7vsw5kiaY2yef5Q4HJJr6baFH8XcF95aMHOVE+7mkN187tRN31dIOlM4D5Jz1Dtz+iNY6mShYtrlj59DvgGcL2kB6mSptt6WV9vPSPpV8AbgHNt/xag7D2aLGkiMBL4C9UyrXcC55U+jizXzJH0V2CWpEeA35eHDFwP/A/wDNVnsFtPnbH9sKQvA3dJ+jMrLoGbAHy+fKarAZ8qe6zar31B0l7ALZLWtP2fkv4d+IWkP1J9dj3qrg+2H+vqu9KbujuSdDDVwzPWAz4saRLV8slH+1NfRDSY9ccyetL5vSo6auyGK7kzERGNbURbW9uq7kNE1Fdbo2wsHIhG2kDZ6BLr+kq86yexrq/Eu34aKdblIQN92irSaEvUIiIiIiIiutRQS9SGIr3y79a0O6088nlIKI9nPrGTU0e2/22eWLka5bsSERER0ciyRC1i+MkStRhUiXV9Jd71k1jXV+JdP40U6yxRi4iIiIiIYS0JTkRERERENI0kOBERERER0TSS4ERERERERNPIU9QiIiJWsZHzn4d5c3tVdmHrS7D6Giu5RxERjSsJTkRExKo2by5Lzju1V0VHnzUZxm26kjsUEdG4kuAMU5KeBvax/Yiky4Arbf+qm/JnA6+xfcoA2z0SmG77DwOoow1Yy/aigfSlm/rPZhDG2s+2xwPfBN4F3Gr74/XuQ0REREQjyx6cwPax3SU3fSGpp6T5SGCzwWhrKOtFHLryV+Bk4HOD2J2IiIiIYSMzOMOApJ2BC4C1ylsTO5yfClxo+xZJ6wBfA7YHlgO/sn1ih/LvBK4FTgT+CNwPXAzsCfyXpMeAc4AxVN+xL9m+TtJRwHbANySdA5xi+5eSvgB8vJR9DjjO9p97GNZJkj4KvBaYaPvG0rdrgLcDqwOPA0fbni9pAvB14DfATsD/AocBZwFbAc8C+9t+sdT/Jkm3Am8Gfl/qeUHS94H7bV9c2vvH63K8EHgbMBbYVtLHgC8BLwPXl+MuZ59szwHmSHpHx3OSngPeZfuvpW9ttv9V0uuAB21v1EPM/qH80aymN1zGORQk1gMzf/aTLOlD+cS7fhLr+kq866eZY50Ep8lJWh/4EdXN+3RJI4G1u7lkMrAI2Mb2ckkbdKhvj1LmQNuPStqYKsn4ne2zS5n1gHfbXibp9cADkqbY/p6kIyjJVCl7KPBWYKfS3vHARcAhPQxtge3tJe0KGLixvP/vtp8vdZ8DnApMKue2AI6wfZykbwJTSruzS8JwMHBZKfseYLztv0i6AvgPoDdL1nYG3mv7xZJ4XFLaeEzSQGdl7gDeJ+lGYGNghKRXAXsAt/elokb568UD0Uh/pbnRJdYDN7K1tU/lE+/6yHe7vhLv+mmkWPcnEUuC0/x2Bh61PR3A9jJgvqSuyu8DbGt7eSn/fM25vYC9gb3KTEO7xVRJRruxwBWS3gYsBdanmlW5p5P29qOa1ZlR+jQKeKEX47qu/P8eoEXSGNuLgcMlHQKMBtYEavf6zLI9sxzPAN5se3Z5/QBVotXuFvv/s3fn0XJVdfr/3yExYZ4kihe0EQcUEWgFZBZkEBVQaXhQQQGN2gyiQAJRbEAaBZop9g/RLwIyiMIjKI0IxjZIQAI2EAFpNCgYEeKQmJiQhiQmub8/zi6pXO9UNzeVW3Wf11p3parOPvt8zqcqa51P7b1P+U/l8ZXA/9ePmABuqhsF2hmYbvvX5flVwMX97Kc7d1KNkj0L/AwYAbytvDZlJfqNiIiIaBtZg9P+RgxiX08AI6kKknr/Z7uz7vlXgbuAN9veHniGarpaT/GdY3v78reN7d36Ecsi+HvBBjBK0h7AscABtt8MfL7LcRfVPV7WzfOeCv4RQO38lrLi/5uu51U/9ax+v8EwhWq0Zp/yuP55QyM4EREREe0qBU77mwZsXdbhIGlkmULWk9uACZJGlPb1U9RmAvsB50o6vJc+NgRm2u6UtB8rjowsADaoe34rcFwtJkljJG3Xv1Pr9rjzgb9IGgN8dID9ALxH0tjy+Giq6WEAT1KtT0LSK4C9e+njfqp1OLXzP3ol4sH276gKsaOoipsflz7/Zvvplek7IiIiol1kilqbsz1X0iHAxZLWobpxQG9rSU6iWmPzmKSlwFTgxLr+ninrcCZLWpsXL/zrTQQukzQReLT81VwOXChpPNXNAa4rRdTUMkVtDeAy4JEBnO4dwJFUNwV4hurmBzsNoB+oCoirJG0JzABOqYv/JkmPUI1o/aynDsr6nX8FfiBpDvB9qpsbPN/TPmVN00+BtYE1JT0DnGn7yrq4drf9h9L+BWBQ7oAXEavRxmMZPfH8fjUdNXbTVRxMRERrG9HZOZgzaCKinqT1bD9XHh8DfMz27qs5rM5WWVi4MlppAWWrS66bK/lunuS6uZLv5mmlXJebDDS05CIjOBGr1omSDqP6vzYX+PhqjiciIiKiraXAiSFJ0hnAId1s2t/2n5sdz0DZ/iLVb9/8Xbl99I+6af5d22c3JbCIiIiINpUCJ4akcqHflhf7pUDbfnXHEREREdGOche1iIiIiIhoGylwIiIiIiKibaTAiYiIiIiItpECJyIiIiIi2kZuMhAREbGajJw3B+bObmif5xY/D2PWXkURRUS0vhQ4ERERq8vc2Sw577SGdhl95iTYfMtVFFBEROvLFLVuSJopaZvy+ApJe/TR/ixJF67kMfeS9ODK9DFYejufwTjXgervsSVdLemEbl7fQtInVk10K0fSkZIelbS0u9gjIiIion9S4PTB9jjb96zuONqRpGaPIG4BDMkCB3gY+ADwrdUdSEREREQrG/ZT1CTtAlwArFdemtBl+13AhbZvk7QBcAmwI7AcuMf2CV3av5nqIvUE21MlvRs4HVgTWAKcZPv+0vYcqovaZ4H/6Uesp5T2o4BFwLG2Hy7bOstx3g+8FJhg++Zy/C/VdbM1cBjwM+DbwPolth/YPrWu3WaSbge2BJ4EDrP9fF8xllhmlr53AzqASbYvrdt2JfAO4CngY5JOAz5cdn8A+JTthSXfV5aYnwZmA38q/VwNPFjX7wrP62LZG/hP4IPAV4BXS3oY+I3tQ0s81wL7Aa+geq9rfW4FTAI2AUaX8/iGpE8C29o+XtJOJZc72X5A0mVUxco3gWuANwF/A2bYVk85s/1YOebybvJ5F/AQsBNVkfZlqs/Mp0p+J9j+Tk99d6ejo6OR5i1ruJznUJBcD8y8Z55iyQD2S76bJ7luruS7edo518O6wJG0MfA94BDb0ySNpLrg78kkYCGwne3lkjbp0t8+pc3hth+X9Brg34B32l4g6U3AHcCrJB0EHEz1i/YvALf0I+RrbV9UjrUv8DVg57rtC2zvKGk3wMDNtm8Hbi/7fBw4Bphc2h9UComXAJMlHWD7h2XbDlSF3PzS/gjg6/2IsebltveU9HLg55Lutv1o2fYK23uXmN5FVdzsCjxHVRT8G3AacEY5p61LrqeX8+oXSUcAnwEOsP2spOOpCpgdujRd2/YukrYAHivF0iKqQvUI27+StB7woKT7gCnASWXffYD7yr8PlH8vAt4JbGR76xLLRv2NuwebA28HNgV+A1xie9dSYH0XaKjAmTVr1kqGM/R1dHQMi/McCpLrgRu5ePGA9ku+myOf7eZKvpunlXI9kEJsuE9R2wV43PY0ANvLbM/rpf2BwAW2l5f2c+q27U/1zfo7bT9eXnsn8Brg7jJqcD0wqlz07w3caHuh7WVUIxV9eaukuyU9BlxMVRzVu6H8ez/QIWnN2gZJ7wROAd5rexEwErhA0iNUowPbdOlvsu2/2u6kGqF4TT/iq3clgO0/AT8A9qrbdm3d432BG2wvKMe6vLwGVY5q/cyhupDvr2OAY4F9bD/bR9sbyjFmAvOoionXA28Ebijv3T3AGOCNtn8DrCVpc6qC5rPAPpJeCYyx/STwCPAGSV+RdBgwsKuYF33H9nLbs4C/UBXmUL13m9W/1xERERHD2XAvcEYMYl9PUBUN9aMDI4Af2t6+7q+jXPQ3dGxJo4GbgM/Y3gY4gOqCu94iqAq18nxU2Xc7qtGeg23X7kd6MrAR8Dbb21KNIK3Zta9iGSs32jcC6Kx7vrCXbdQ97y1HS1nx89v1Av8RqtGOrfsRX3fnOgKY0+W928J2rbC4E3gP1UjVVKrpbe8pr2P7KaoC6b+pCrZHVrII6Rpjt+91RERExHA33AucacDWZR0Okkb2MZXoNmCCpBGlff0UtZlU6zjOlXR4ee1HwAFlahplnx3LwynVU61TpsYd00esa1JdxP6+PD+ur5Mrx9sMuBn4sO0n6jZtCPzB9qLS5r396a8BR5fjjwXeBdzVQ7v/Bj4gab2S13HAj8u2KZS8SHop1fqimiepptAh6RVUoz31ppf235T09vLaAmCDfsY/A3heUm1tEJLeIKk2hXEK1cjNveX5vcDE8jpldGeZ7VuoprONBTbu57EjIiIiYoCG9be+tudKOgS4WNI6VDcOGN/LLidRrbF5TNJSYCpwYl1/z5R1OJMlrV0WpB8JXClpLaqF6vcCD5SbFuxCtSB9FvATYLNeYl0g6QzgAUlPU63l6Y9xVBfXl0p/X+N+EtXC++9I+jlV0TSln/3119OS7qEa2TjX9i+6a2T7DknbUq1jAXgQOKc8/nfgKkmPUxWQP6rb9XLgpjLF7gmqaXRd+/6FpAOB75dbL08BZpQpfr+yfWhPwdteWtZJTZI0gWp07k9ALYl3Av/Ei3mbQnWHtjvL8zcD55Wcjyw56HGyq6QPUt3sYiPgvZImAvvXTXeMiHa08VhGTzy/oV1Gjd10FQUTEdEeRnR2dp0dFLFyyp3JDqzdGSyGnM5WWVi4MlppAWWrS66bK/lunuS6uZLv5mmlXJebDDS0tGO4T1GLiIiIiIg2MqynqA1F3fxuTc3nyi2fhwRJ44ATutl0tO0tmhxOS2iV9zYiIiKilWWKWsTwkylqMaiS6+ZKvpsnuW6u5Lt5WinXmaIWERERERHDWgqciIiIiIhoGylwIiIiIiKibaTAiYiIiIiItulUYeQAACAASURBVJG7qEVERKwmI+fNgbmzG9rnucXPw5i1V1FEERGtLwVORETE6jJ3NkvOO62hXUafOQk233IVBRQR0fpS4AwSSTOBA20/JukK4Brb9/TS/ixgXdvjV/K4RwPTbD+xEn10AuvZXrgysZS+tgdeb9sr21eXfvcCLrS9Qy9tzmIQcroyMaxE35cBuwPLgb8BE21PGezjRERERLS7rMFZBWyP6624aYSkvorQo4HXD8axBsn2gFZ3EC3os7a3tb09MA64UVJD93yPiIiIiIzgDIikXYALgPXKSxO6bL+L6pv+2yRtAFwC7Ej17fw9tk/o0v7NwLeAE4DfAQ8ClwL7At+U9GvgHGBNqvfsi7ZvkHQMsAPwn5LOAcbb/rGkU4FDS9tngY/b/mMfpzVe0v7AS4HP2b65xPY24Dxg/dLuDNs/kPSyEvPLy+s/LjGeDawv6WHgbtsnSroe2AoYA/wG+KjteWVEZBLwM2AXoBP4gO1flmOfA3ygnMP/1OVrK+BqYG1gJHC17Qt7yekI6kZe6kdiBhpD2XYUcFzJ83zgWNszyqjah4B5wDbAX4F/6e09sD2/7ukGJY7acWYC3wT2ATYDJgIvK8fYGDim0YK6/GhW2xsu5zkUJNcDM++Zp1gygP2S7+ZJrpsr+W6eds51CpwGSdoY+B5wiO1pkkby4sV/dyYBC4HtbC+XtEmX/vYpbQ63/bikLaiKjF/aPqu02QjY3fYySS8HHpI02fY3ykX2hbZvK22PBF4L7FyOdyxwEXBEH6e23PaupXiYJukeYAnwNeDdtv8g6RXAA5K2Kf39zva+tRhL0XIG1VS9Q+v6/rTtOaXdOcBpVBfpAG+iukD/pKTTgc8DR0g6CDiYakToBeCWuv6OA263/e91+ektp3v1ce4NxyBpD6qRqj1tL5b0LuAqYLfSZEdgW9u/l/R14FPA6b0FIelsqrxuRPX56qzbPMb2LpJ2BO4CTrW9kyQB51JNb+u3Vvn14pXRSr/S3OqS64EbuXjxgPZLvpsjn+3mSr6bp5VyPZBCLAVO43YBHrc9DcD2MmBedZ3ZrQOBt9peXtrPqdu2P3AAsL/t+k/ZIqB+DctY4CpJrwOWUn1rvxVwfzfHO5hqVGd6iak2utCXK0t8MyRNB3Yux3o1cEfd+XVSFVD3AydLugCYCkzupe+PSDoCGA2sA9SvF5ph++fl8f3AQeXx3sCNtXVBkq6kKjwA7gYulDQa+En5q+kpp70ZSAwHAdsBPyu5GUFVmNTca/v3dX3u11cQts8AzpD0DuA/JO1uu/bl7o3l3+lUI1e15w9RvR8RERERQQqcgRjMdRFPUI0e7ADcWvf6/3X59v6rZfshtjslPUE1Xa2n+M6xfdVKxDWCqpAZATxqe8/uGpUbCuwHfJhqROYfRhHKSMexwK62Z0v6EPCJuiaL6h4v48XPZI95tn2zpPuoipmJwEeBI8vm7nK6lBXXm3XNXcMxlG1XlaKkOz312Sfbd0paH3gzVQHz9/7KKF59/w31HREREdHucpOBxk0Dti7rcJA0susUqS5uAybUFox3maI2k6pAOFfS4b30sSEwsxQ3+7HiN/YLqNZs1NwKHFeLSdIYSdv147yOKe1fRzUl62dU5/o6SXvXGknaUdIISa8GFti+ATgZeKukNbqJZ0OqEaS/SBpDVYz0x5TqcFqnTAM8pi6G1wJ/tH018AVgp7r9ZvKPOf0tsKWkjcr78MGVjQH4PtXI1OYlppGS3trPfldQ8vmGuuc7UK2xeWog/UVEREQMZ/nmt0G250o6BLhY0jpUNw7o7bbEJ1GtB3lM0lKq6Vwn1vX3TFkzMlnS2qw43apmInCZpInAo+Wv5nKq6VrjgQm2rytF1NTyTf8awGXAI32c2mJJ9wKbAJ+0/WcASQcDF0iaRDXF7Cmq6Vl7AaeUc1oD+Ney5mcK1Q0LHinnejLV6MqvgGeobqCwE30oN2jYBXgYmFXyslnZLKo1MkuoRpo+3WXfFXJa1ipdRDUa8lvgAapRngHHYPvusl7n1lL8jAa+w4sjLo0YAVxe1nctpVrvI9vzBtBXRLSSjccyeuL5De0yauymqyiYiIj2MKKzs7PvVhHRTjpbZWHhymilBZStLrluruS7eZLr5kq+m6eVcl1uMtDQEpFMUYuIiIiIiLaRKWrDRLl98yHdbNq/Nh0tVi1J46h+l6ero20/3Ox4IiIiItpRCpxhwvbZVD/CGauJ7SuAK1Z3HBERERHtLFPUIiIiIiKibaTAiYiIiIiItpECJyIiIiIi2kYKnIiIiIiIaBu5yUBERMRqMnLeHJg7u6F9nlv8PIxZexVFFBHR+lLgRERErC5zZ7PkvNMa2mX0mZNg8y1XUUAREa0vBU6sFpLOAr5ke0kTj3k28L+2b5S0FzDa9o/Kti2AB21v0s++/hVYy/YlfbQbDdwCbA5MsX1SD+1uAV4NLAcWAp/Kb+NERERENC4FTqwSkkbaXtZLkzOBC4GmFTi2z6h7uhewLvCjRvuRNMr21/rZ/J+Bf7L9pj7aHWV7fun/vcBVwFsajS0iIiJiuBvR2dm5umOIVUjSAcC5wEhgNvBJqtGELwPTge2ApcDRth8v+xwFHEdVAM8HjrU9Q9LRwIeAecA2wF+Bf7H9x7LtA+UYWwMfA/Ypr40CFpV+Hpb0ldL/L6hGLPYq/14MbAusCfwEOLmnIknSGcAh5elo4I3AhsALwBeBt5fXf1GOu1DS1cCDwFTgv6lusjELuKH8PQhcDewJrAUcZ/ue2ugOcCmwL/BNYFNgXdvjSzynAoeWc30W+DiwAfADoAN4AjjX9o09vFX15/YR4ETbO5TnncDngfcBLy197wscALwEOMz2L/vqt07+00cMEfP+56cs/MJnGtpn3TMnsdFOu6+iiCIihqQRjTTOCE4bk/Qy4Drg7bYfl/Qx4HrgNKpC4kTbU0tBcy2wg6Q9AAF72l4s6V1Uowm7lW53BLa1/XtJXwc+BZxetu0ObGf7yXL8Z21fVB7vC3wN2Nn28ZKOA3a1vbBsvwKYanucpDVKnB8Fvt7dudk+Gzi77HsdMNn2fEmfB+bb3qlsOx/4bF2M2P6FpK+xYoGyBVXx8Kjt8ZLeDnxb0mvKbi8Ffmn7rNL+rLo8Hwm8tpzbcknHAhfZPkLSOODCWrHSm5KD/an+Ex/QZfNfbe8o6TDgv4DDbX+2FFanA0f21X+9WbNmNdK8JXV0dAyL8xwKkuuBG7l48YD2S76bI5/t5kq+m6eVct3R0dHwPilw2tvbgEdqIzPAN4DLgPWA39ieWl6/Drhc0vrAQVSjOj+TBNXF9kZ1fd5r+/fl8f3AfnXbflorboq3SvocsDHVCM3re4n1YGAnSaeU52sDz/R1gpL+nWqq2VF1/awv6dDyfAzwSF/9FEuoRmcohd8LwFbAAqoRKPcS+w7A9JKz2shXQ2yPA5D0YeAC4N11m2sjP9OBTts/KM8f4sWRrIiIiIhhLwVOextB49ORRgBXdVmvUm9R3eNlrPgZWlh7UBbX30Q1EjRdUgfV1K3ejvs+20/1N1BJx1AVWHvbXl7Xz3G27+xvP33EVMvf/9nuKZcjgHNsXzUIx8T2dZIul/RS238pL9fyvgyo/8q363sQERERMazlhz7b233A9pLeUJ4fBfwceA54bZmOBtW6ml/YXgB8H/iIpM2hulmApLcO4NhrUl1410Z7juuy/TmqNSo1twITJY0sx91E0qt76rxMeZsIHGz7hS79nCxprdJuPUlv7KaLBV2OD9WanQ+V/fYo5zCjxzNc8ZjHSdqo7DtG0nb92K92LutKemXd84OAueUvIiIiIhqQb37bmO3ZZbrTtySNoroBwJFUNxl4GPigpElUowAfKfvcLel04NZSbIwGvkM1FaqRYy8oNwJ4QNLTwB1dmlwE3Fmmge0FfAb4D+CRsqh+cXnttz0c4nTKXdDKtDCAPYDzgLPKcZdTjcB8Aei6CP97wIclPcyLNxn4C/A6ST+jmiL3QdtL6vrv6Vyvk7QJMLW0XYNqKmB/p8atA3xH0jpU78Vc4KBeRowiol1sPJbRE89vaJdRYzddRcFERLSH3EVtGCq/AdOvhe/RljpbZWHhymilBZStLrluruS7eZLr5kq+m6eVcl1uMtDQXdQyRS0iIiIiItpGpqgNQ7bvorrr15An6VbgVV1eftr2wasjnpXR5bd76u1v+8/NjiciIiKiHaXAiSGtFQuZntT/dk9ERERErBqZohYREREREW0jBU5ERERERLSNFDgREREREdE2UuBERERERETbyE0GIiIiVpOR8+bA3NkN7fPc4udhzNqrKKKIiNaXAiciImJ1mTubJeed1tAuo8+cBJtvuYoCiohofSlwom1ImgkcaPsxSVcA19i+p5f2ZwHr2h6/ksc9Gphm+4mV6OMW4NXAcmAh8CnbD69MXBERERHDUQqcaEu2xw1WX5JG2V7aS5OjgTnAgAsc4Cjb88vx3gtcBbxlJfqLiIiIGJZS4ERLkrQLcAGwXnlpQpftdwEX2r5N0gbAJcCOVCMk99g+oUv7NwPfAk4Afgc8CFwK7At8U9KvgXOANan+33zR9g2SjgF2AP5T0jnAeNs/lnQqcGhp+yzwcdt/7Ol8asVNsUGJsxZbJ/B54H3AS4GPl7gOAF4CHGb7l30mrU5HR0cjzVvWcDnPoSC5Hph5zzzFkgHsl3w3T3LdXMl387RzrlPgRMuRtDHwPeAQ29MkjQTW72WXSVTTvrazvVzSJl3626e0Odz245K2oCokfmn7rNJmI2B328skvRx4SNJk29+QdBSlmCptjwReC+xcjncscBFwRB/ndQWwPzCCqnip91fbO0o6DPivEutnSyF1OnBkb313NWvWrEaat6SOjo5hcZ5DQXI9cCMXLx7Qfsl3c+Sz3VzJd/O0Uq4HUoilwIlWtAvwuO1pALaXAfMk9dT+QOCttpeX9nPqtu1PVUzsb7v+f/oiwHXPxwJXSXodsBTYGNgKuL+b4x1MNaozvcQ0CpjfTbsV1KbVSfow1ejUu+s231j+nQ502v5Bef4QcEhffUdEREQMF/kdnGhFIwaxryeAkVQFSb3/s91Z9/yrwF3Am21vDzxDNV2tp/jOsb19+dvG9m79Dcj2dcDekl5a9/Ki8u8yoP4r32Xki4qIiIiIv0uBE61oGrB1WYeDpJFlCllPbgMmSBpR2tdPUZsJ7AecK+nwXvrYEJhpu1PSflRT0GoWUK2bqbkVOK4Wk6QxkrbrqWNJ60p6Zd3zg4C55S8iIiIiGpBvfqPl2J4r6RDgYknrUC3I7+1WzydRrbF5TNJSYCpwYl1/z5R1OJMlrQ38pJs+JgKXSZoIPFr+ai4HLpQ0Hphg+7pSRE0tU9TWAC4DHukhvnWA75RzWUZV2BzUZQQpItrRxmMZPfH8hnYZNXbTVRRMRER7GNHZmWuoiGGms1UWFq6MVlpA2eqS6+ZKvpsnuW6u5Lt5WinX5SYDDS1PyBS1iIiIiIhoG5miFtEkks6g+zue7W/7z82OJyIiIqIdpcCJaBLbZwNnr+44IiIiItpZpqhFRERERETbSIETERERERFtIwVORERERES0jRQ4ERERERHRNnKTgYiIiNVg5Lw5MHd2w/s9t/h5GLP2KogoIqI9pMCJiIhYHebOZsl5pzW82+gzJ8HmW66CgCIi2kOmqA1RkmZK2qY8vkLSHn20P0vShYNw3KMlvX5l+1kVJF0t6YR+tLtL0oHdvL69JK2a6FaOpPGSZkha3l3sEREREdE/KXBagO1xtu8ZjL4k9TVqdzTQlAKnH7EMtu2BIVngAFOB9wB3r+5AIiIiIlpZpqgNAZJ2AS4A1isvTeiy/S7gQtu3SdoAuATYEVgO3GP7hC7t3wx8CzgB+B3wIHApsC/wTUm/Bs4B1qT6DHzR9g2SjgF2AP5T0jnAeNs/lnQqcGhp+yzwcdt/7OV8OoEvAPsDLwU+Z/vmum2nUl3M3yPpLOB84ICy+w+B02wvk7QZcC2wCfBb6j6v9Tnp7nlduw8Ap5T4zwbWl/QwcLftE0s8pwPvL7FOqIv1bcB5wPqluzNs/0DSucBc2xeUEaEbgE1t/1nS7cAk4OHyHry87Ptj2yf1lDPbD5RjdpfPmcA3gX2AzYCJwMuADwEbA8c0WgB3dHQ00rxlDZfzHAqS68bNe+Yplgxw3+S7eZLr5kq+m6edc50CZzWTtDHwPeAQ29MkjeTFC+ruTAIWAtvZXi5pky797VPaHG77cUlbUF24/9L2WaXNRsDupYh4OfCQpMm2vyHpKFYsHI4EXgvsXI53LHARcEQfp7bc9q6StgKmSbrH9p/LtjVs71X6P5ZqZOUtZdsdwCeArwL/SVWIfEHSlsAjVAVQv5TCbH9gX9vzJZ0BHGj70C5NF9jeUdJugIGbJW0IfA14t+0/SHoF8ECZNjgFGE9VlO4D3A+8Q9LNwNuAnwKfBH5ne98Sy0b9jbsHY2zvImlH4C7gVNs7lQLrXGD3RjqbNWvWSoYz9HV0dAyL8xwKkuuBGbl48YD3Tb6bI5/t5kq+m6eVcj2QQixT1Fa/XYDHbU8DsL3M9rxe2h8IXGB7eWk/p27b/sCXgXfafrzu9UVUF+41Y4GbJD0GTKYaBdiqh+MdTDXyM72MfBwPbNGP87qyxDcDmA7sXLftmrrH+wJX215iewnwjfIawN7AFaWfp6gKi/46qxzz3bbn99H2hvLv/UCHpDWBXYFXA3eU874D6KQq9u4FdpI0GtiNamRo33K8X9h+vvS1v6QLypqahQ3E3p0by7/TgbXrnj9UYoqIiIgIMoIzFIwYxL6eAN5ENc3s1rrX/892Z93zr5bth9julPQE1XS1nuI7x/ZVKxHXCKrioGZhL9vo5nl3lrJigd41/vuB/YB/An7dR1+LoCouyxSxUSWuR23v2d0Okh4BPgj8AfgJ1ajWM8Cdpa/7JG1fYvgw1bSyhkZZ+ohxUXl9Gfl/HBEREfF3GcFZ/aYBW5d1OEga2cd0ptuACZJGlPb1U9RmUl1Qnyvp8F762BCYWYqb/VhxBGABsEHd81uB42oxSRojabt+nNcxpf3rqKag/ayHdv8NHC3pJZJeAhwF/Lhsu7Oun1dTTQereZJqHRKSti7HqPdD4Fjgdklv6uHcejMNeJ2kvWsvSNqxlneq0aQvAFNsL6Yqbo4ur9fiXWD7BuBk4K2S8v8tIiIiYhXLN7+rme25kg4BLpa0DtWNA8b3sstJVGtsHpO0lOruWyfW9fdMWYczWdLaVKMLXU0ELpM0EXi0/NVcDlwoaTzVgvvrShE1tYwcrAFcRrUepjeLJd1LdYOAT9atv+nqcqoC6+fl+WTg6+Xxp4FrJR0GzKAqhmrOB74j6V0l/p/The07JR0N3Fr6mAKML6MvU22f2HWfun3nSToYuEDSJGA08BRwENUI0xTg33lx2twUqulq/1Oe7wWcUt6jNYB/rU0r7I6kCeV8xwJXS1oEbG17QU/7RESL23gsoyee3/Buo8ZuugqCiYhoHyM6O/szGyii/8qdydazvbLrTmLV6GyVhYUro5UWULa65Lq5ku/mSa6bK/lunlbKdbnJQENLOjJlJiIiIiIi2kamqMWAlFsuH9LNpv1tD+aNE9qGpHFUv03U1dG2H252PBERERHtKAVODIjts6lujxz9ZPsKym2vIyIiImLVyBS1iIiIiIhoGylwIiIiIiKibaTAiYiIiIiItpECJyIiIiIi2kZuMhAREbEajJw3B+bObni/5xY/D2PWXgURRUS0hxQ4ERERq8Pc2Sw577SGdxt95iTYfMtVEFBERHsYNgWOpH8F1rJ9ySD22QmsZ3vhYPU5wDj2Ai60vUMj2+raXA08aPvSQYrnLOBLtpcMRn91/c4EDrT9WA/bt6A6j00G87iNxLAS/R4AnA90Ai8BbgE+b7tzMI8TERER0e6G5BocSYNeeNn+2mAWN9GrM4HRqzuIFvNT4C22twe2B/YDDlq9IUVERES0niEzglNGQ04F3gPcA/ybpFOBQ6nifBb4uO0/ShoNfAk4AFgGPGX7/aWfnvY5C1jX9nhJvwYOtf1I2edTVBeXx0jaCpgEbEJ1kT7J9jdKu0PKcecCt/fjnPYBzgHWLPF80fYNZdtdwAPALkAHYNsTJb0M+FFdN68CrrF9kqTrga2AMcBvgI/anlfajZL0/0p/ncAHbP+yz8S/aDtJPwZeCdwNHG97iaT1gYuBbct5/AQ42fYySWcCHwQWlWPuDXyx9DdN0nJgL+DdwKd5segZb3tKycNM4FqqC/pXUI02XVq27QFcBrwA3A+MKK+vAVwKvANYDCy0vVv9yUgaA1wHPAOcAvyWupGX+pGYgcRQtvX2WekETgfeD7wUmGD75p6S32UUcM3S3/LS11nAG4D1gdcDDwHnARcB/wR81/aEnvruTkdHRyPNW9ZwOc+hILlu3LxnnmKgw9zJd/Mk182VfDdPO+d6yBQ4xRq29wKQdCTwWmBn28slHUt1QXcE8FlgS6qiZImkTfqxT71rgaOAk8vzo4GTysjRt4AjbP9K0nrAg5Luoypqvg7santGKaT6Mh3YvRQDLwcekjS5rih5FbAnsB7wpKQrbf+a6ht8JP0zcDPVxTzAp23PKdvOAU4DJpZtbwKOsf1JSacDn+/mvHvzNmBXqmLlduAT5bgXA1NtjyuFxfXARyXdBIwHXmb7hZKrF2wfL+m4kqeFJdbJwLdtd5aiYAqwed2x17a9S5li9liZMvc34Aaq9+IuSQI+VdpvB+wLvKG8zxvVn4ikjYHvAt+z/eXyWl/n31AMvX1WbP+q9LnA9o6SdgNM9V72SNIOwFXA64CvAj+o2/xWYAdgIdXn6jzgXVT/h38r6fLy2emXWbNm9bdpy+ro6BgW5zkUJNcDM3Lx4gHvm3w3Rz7bzZV8N08r5XoghdhQm6J2Td3jg6kuYqdLehg4HtiibDuQ6tvyJQC1i/4+9ul6nA9KGiVpG2ADqlGj1wNvBG4o+99DNVryRmBnYLrtGaWPy/txPmOBmyQ9BkwGNqYagan5ju3ltucDvwReU9sg6ZXATVQX0E+Wlz8i6SFJvwA+RCmEihm2f14e31/fVz/daHuh7aVU+XlHef1gYELJx3SqC+3XAwuAGcA3JX2canRsaQ99vwaYLOl/gRuBTSVtWrf9BgDbM4F5VMXPVsDztu8q2wzML+2fAkYCV0r6cJdjrUk13esrteKmnxqNobfPygp9Ur0fHZLW7C0A2w/a3pZqFO2twB51myfbnm97GfAo8N+2F9v+P6r3odH3OyIiIqItDbURnPppOiOAc2xf1U27Ed281tc+f2f7aUmPU30DvhfVFLBOSSOAOWUdxAokvbc/J9DFV4FbgUNK/09QXYDXLKp7vIzyfpRpYbcBp9m+r7y2B3As1cjIbEkfohpl6bWvARpBNeWs9vh9tp/q2kjSzsBuVMXQQ5IOsP1oN/19GzjF9i1lFOh5+s5DT+8xtudLehPVe7cPcL6kt5TNS6gKioMlfbcUBABLWbGg71psNBRD2dbtZ6Vrn2UED/r5ntieI+kO4DCq6YLdxTeY73dERERE2xhqIzj1bgWOq00/kjRG0nZl2/eBz5S1ONSmqPWxT1dXA+Oo1pDURo5mAM/XjwpIekMpOO4D/lnS68qmcf04hw2BmaW42Y9q+lyvytSnm4DrbN/Upa/5wF/K+pKP9uP4jThM0jrl+EdSrbWBKqcTJY0s8W0i6dVlStZY21Ntnwk8BmxT9nmOalSsPvbflscfoxrp6MuvgLUk7VmOe2itT0ljqe6I90OqKXrzqaYsQrVu5WNUI0w3SnpJef1JYMey/z7Ay1cmBnr/rDRM0utL8YekdaiK718MpK+IiIiI4WzIfutr+7pSuEwt336vQbXY+xGq9QfnAg9LWkK14P7QPvbpqra25QHbT5djLpV0EDBJ0gSqaVB/AmT7z5I+AXxf0lyqNRV9mQhcJmki1bSi7kY3utqNalTiZWVNEVTrXi6hKjx+RbVw/kFgp3701193U92a+FXlcW0K3meA/wAeKQvnF5fX/gbcLGktqjxPp1r3AtW6pzslvUA1yvIZ4BZJzwJTgb/0FYztxZI+SJW/F4A7gafL5lcCXy/F2CjgDqpRm1eVfTuB4yVdWI77L1Rrkq4p0+nuretrQDH09lnpq98evBc4WtLS0tf3gCsG2FdEtIKNxzJ64vkN7zZq7KZ9N4qIGMZGdHbmZzYihpnOVllYuDJaaQFlq0uumyv5bp7kurmS7+ZppVyXmwz0tmzgHwzlKWoRERERERENGbJT1FqF/vF3a2q+a/vsZsfTE0nbU6076upS25kK1QSt8lmJiIiIaGUpcFaS7T+z4u2ahyTbD9MCcbazVvmsRERERLSyTFGLiIiIiIi2kQInIiIiIiLaRgqciIiIiIhoGylwIiIiIiKibeQmAxEREavByHlzYO7shvd7bvHzMGbtVRBRRER7SIETERGxOsydzZLzTmt4t9FnToLNt1wFAUVEtIcUOKuRpJnAgbYfk3QFcI3te3ppfxawru3xK3HMvYALbe8w0D4GS2/nMxjn2k2fOwAn2T5C0obAJ2z/R932u6hyc1s/+uoArre9dz/aHgt8GngB2NP2cz20E/BvVL/W2wnsa/tPfZ9ZRERERNSkwBkibI9b3TG0O9sPAkeUpxsCpwL/0fMe3ZM0yvYsoM/ipjgR+LDtB3rpcwfgLOAdtv8oaQNgcaOxRURERAx3KXCaRNIuwAXAeuWlCV2230UZPSgXt5cAOwLLgXtsn9Cl/ZuBbwEn2J4q6d3A6cCawBKqkYr7S9tzgA8AzwL/049YTyntRwGLgGPLD4UiqbMc5/3AS4EJtm8ux/9SXTdbA4cBPwO+DaxfYvuB7VPr2m0m6XZgS+BJ4DDbz/cjyYmC+gAAIABJREFUxu2Bq+teei1wuu0v95SLLqNXXwE2lPQw8LztXUs/+0oaD2wO2PbnyvHuAqYBbwMWSToeeND2JmX724DzynkCnGH7B5JuBF4DXCfpIdu1Aqurk0psf6Q68Py6c72aqth5Xenru8D3gS8ArwQusf3lvnJWr6Ojo5HmLWu4nOdQkFw3bt4zT7FkgPsm382TXDdX8t087ZzrFDhNIGlj4HvAIbanSRrJixfC3ZkELAS2s71c0iZd+tuntDnc9uOSXkM1temdthdIehNwB/AqSQcBBwPbU02RuqUfIV9r+6JyrH2BrwE7121fYHtHSbsBBm62fTtwe9nn48AxwOTS/iDbCyW9BJgs6QDbPyzbdqAq5OaX9kcAX+8rwFJwbV+OdwBVQXh9b7no0kWtQNm+y+tbA/tSFUf3SZpWN2Vtm9LvUklb1HYo092+Brzb9h8kvQJ4QNI2tg8vUxEPtf1YL6e0NfBbSXcD61IVMV+03Vm2vwnYBxgJzAQ2AN4OvAKYIelK2wv7SNvfzZo1q79NW1ZHR8ewOM+hILkemJGLBz5Im3w3Rz7bzZV8N08r5XoghVhuE90cuwCP254GYHuZ7Xm9tD8QuMD28tJ+Tt22/YEvU11oP15eeyfVN/t3lxGJ64FRkl5ONY3qRtsLbS8DruxHvG+VdLekx4CLKYVEnRvKv/cDHZLWrG2Q9E7gFOC9thdRXZBfIOkR4CGqIqG+v8m2/1ou5H9WzqPfykjOV4GDS556y0V/XGN7aSkWbgDeUbftW7aXdrPPrsCrgTvKMe+gWkPz2gZOZRSwLbAfVeHyLuDDddtvsb24jG7NAG63vdz2s8A8qhGniIiIiGEvIzjNMWIQ+3qC6tv8HYBb6/r/oe2PdG0sqaFjSxoN3ES1GH56WUz/bJdmi6Aq1Kp18dXnSNJ2VCMZ77Rdu/fpycBGwNtsL5J0OdXoyAp9FcuAtRqIdfMS65G2f11e7i0Xb+xv33V9ddY972mEZATwqO09G+y/3u+Am2wvBhZL+i9gJ+Dasr1rnro+z//liIiICDKC0yzTgK3LOhwkjZS0US/tbwMm1IqTLlPUZlJ9y3+upMPLaz8CDijTsSj77FgeTqmeap0yNe6YPmJdk+pi+ffl+XF9nVw53mbAzVSL6Z+o27Qh8IdS3GwGvLc//fXjeOtR5elztu+t29RbLuotANaW1LUw+LCkUZLWoVpD9JN+hDMNeJ2kv990QNKODRaX3wL2lzSiTOXbB3ikgf0jIiIignzr2xS250o6BLi4XDgvB3q7/fFJVGtsHpO0FJhKdSeuWn/PlHU4kyWtbfsbko4ErpS0FjAauBd4oNy0YBfgYWAW1QX7Zr3EukDSGVRrSJ6mmm7VH+OAscClZVSndh7/CXxH0s+piqYp/eyvL4cAWwGfk/S58toFtq/vKRf1O5f35HrgF5Lm1d1kYDrwY6ocfac/t4y2PU/SwVRT8SaVYz4FHMSKI0C9uYFqVO5xqs/HZPo3nTAiWtXGYxk98fyGdxs1dtNVEExERPsY0dnZ3+uviGgTna2ysHBltNICylaXXDdX8t08yXVzJd/N00q5LjcZaGjJRaaoRURERERE28gUtWGqm9+tqflcueXzkCBpHHBCN5uOrv02T6vo5rd7ai61fUWTw4mIiIhoS5miFjH8ZIpaDKrkurmS7+ZJrpsr+W6eVsp1pqhFRERERMSwlgInIiIiIiLaRgqciIiIiIhoGylwIiIiIiKibeQuahEREavByHlzYO7shvd7bvHzMGbtVRBRRER7SIETERGxOsydzZLzTmt4t9FnToLNt1wFAUVEtIdhN0VN0r9KOmmQ++yUtO5g9jnAOPaS9GCj2+raXC2pu9+cGWg8Z0kaPVj91fU7U9I2vWzfQtKcwT5uIzGsRL/bS7pX0vOSbhrs/iMiIiLa3ZAucCQN+giT7a/ZvmSw+41unQkMeoHT5v4MnAwMahEeERERMVwMuSlqkjqBU4H3APcA/ybpVOBQqnifBT5u+49ldOBLwAHAMuAp2+8v/fS0z1nAurbHS/o1cKjtR8o+nwLeYvsYSVsBk4BNqC7SJ9n+Rml3SDnuXOD2fpzTPsA5wJolni/avqFsuwt4ANgF6ABse6KklwE/quvmVcA1tk+SdD2wFTAG+A3wUdvzSrtRkv5f6a8T+IDtX/aZ+BdtJ+nHwCuBu4HjbS+RtD5wMbBtOY+fACfbXibpTOCDwKJyzL2BL5b+pklaDuwFvBv4NC8WPeNtTyl5mAlcC+wHvAK40PalZdsewGXAC8D9lB97krQGcCnwDmAxsND2bvUnI2kMcB3wDHAK8FvgQNuP1R33QNuPDSSGsq23z0oncDrwfuClwATbN/eUfNuzgFmS3th1m6RngX+2/WdJtwOdtt9TPis/t71ZT/12VX40q+0Nl/McCpLrxs175imWDHDf5Lt5kuvmSr6bp51zPeQKnGIN23sBSDoSeC2ws+3lko4FLgKOAD4LbElVlCyRtEk/9ql3LXAU1TfmAEcDJ5WRo28BR9j+laT1gAcl3UdV1Hwd2NX2jFJI9WU6sHspBl4OPCRpcl1R8ipgT2A94ElJV9r+NbB9OZ9/Bm6mupgH+LTtOWXbOcBpwMSy7U3AMbY/Kel04PPdnHdv3gbsSlWs3A58ohz3YmCq7XGlsLge+GiZRjUeeJntF0quXrB9vKTjSp4WllgnA9+23VmKginA5nXHXtv2LpK2AB6TdDXwN+AGqvfiLkkCPlXabwfsC7yhvM8b1Z+IpI2B7wLfs/3l8lpf599QDL19Vmz/qvS5wPaOknYDTPVeDsRPgHdIuhnYAhgh6SXAPsCdjXTUKr9evDJa6VeaW11yPTAjFy8e8L7Jd3Pks91cyXfztFKuB1KIDdUpatfUPT6Y6iJ2uqSHgeOpLu4ADqT6tnwJQO2iv499uh7ng5JGlfUUG1CNGr0eeCNwQ9n/HqrRkjcCOwPTbc8ofVzej/MZC9wk6TFgMrAx1QhMzXdsL7c9H/gl8JraBkmvBG6iuoB+srz8EUkPSfoF8CFKIVTMsP3z8vj++r766UbbC20vpcrPO8rrBwMTSj6mA2+lytMCYAbwTUkfpxodW9pD368BJkv6X+BGYFNJm9ZtvwHA9kxgHlXxsxXwvO27yjYD80v7p4CRwJWSPtzlWGsCPwW+Uitu+qnRGHr7rKzQJ9X70SFpzQbiqXcn1ed6Z+Bn5e9t5bUpA+wzIiIioq0M1RGchXWPRwDn2L6qm3Yjunmtr33+zvbTkh4H3kU1heqaMrowAphje/uu+0h6b39OoIuvArcCh5T+n6C6AK9ZVPd4GeV9KdPCbgNOs31feW0P4FiqkZHZkj5ENcrSa18DNIJqylnt8ftsP9W1kaSdgd2oiqGHJB1g+9Fu+vs2cIrtW8oo0PP0nYee3mNsz5f0Jqr3bh/gfElvKZuXUBUUB0v6ru1l5fWlrFjYdy02GoqhbOv2s9K1zzKCBwN/T6YA/0Y13W5KOfY+5e8LA+wzIiIioq0M1RGcercCx9WmH0kaI2m7su37wGdqd+qqTVHrY5+urgbGUa0hqY0czQCerx8VkPSGUnDcB/yzpNeVTeP6cQ4bAjNLcbMf1fS5XpWpTzcB19muv5vWhlSjB38p60s+2o/jN+IwSeuU4x9JNS0KqpxOlDSyxLeJpFeXKVljbU+1fSbwGFC7u9hzVKNi9bH/tjz+GNVIR19+Bawlac9y3ENrfUoaC6xl+4dUU/TmU01ZBFhejrEAuLFM5QJ4Etix7L8P8PKViYHePyuDyvbvqIquo6gKnB9TTav8m+2nB/t4EREREa1oqI7g/J3t60rhMrV8+70G1WLvR4DzgHOBhyUtoVpwf2gf+3RVW9vyQO0i0fZSSQcBkyRNoJoG9SdAZYH3J4DvS5pLtaaiLxOByyRNBB4tf33Zjeqb+ZeVNUVQrXu5hKrw+BXVN/kPAjv1o7/+uhu4hWpd0N28OAXvM8B/AI+UhfOLy2t/A26WtBZVnqdTrXuBat3TnZJeoBpl+QxwS1ksPxX4S1/B2F4s6YNU+XuBappW7WL+lcDXSzE2CriDatTmVWXfTuB4SReW4/4L1Zqka8p0unvr+hpQDL19Vvrqtztl7c9PgbWBNSU9A5xp+8rSZArVeq4/lPYvUE2Li4hWs/FYRk88v+HdRo3dtO9GERHD2IjOzs6+W0VEO+lslYWFK6OVFlC2uuS6uZLv5kmumyv5bp5WynW5yUBvywX+QStMUYuIiIiIiOiXIT9FrVXoH3+3pua7ts9udjw9kbQ91bqjri61fUWTwxmWWuWzEhEREdGKUuAMEtt/ZsXbNQ9Jth+mBeJsZ63yWYmIiIhoRZmiFhERERERbSMFTkREREREtI0UOBERERER0TZS4ERERERERNvITQYiIiJWg5Hz5sDc2Q3v99zi52HM2qsgooiI9pACJyIiYnWYO5sl553W8G6jz5wEm2+5CgKKiGgPKXDahKSzgC/ZXjLA/fcCLrS9wyDF8z5glu3/GYz+6vo9C1jX9vhe2txFdS63DeaxG4lhJfq+HtgbeAWwnu2Fg32MiIiIiHaWNTgtQtLIPpqcCYxuRiz99D5gp9UdRAu6kvxGTkRERMSAZQSnQZIOAM4FRgKzgU8CmwNfBqYD2wFLgaNtP172OQo4jirf84Fjbc+QdDTwIWAesA3wV+BfbP+xbPtAOcbWwMck7VNeGwUsKv08LOkrJbxpkpYDewHLgYuBbYE1gZ8AJ9te1svpvUTSNxo8h12BS6mK5ZcA5wBzgYOBfSWNK3H8CPg2sH6J5we2Ty19nwVsBWwAbAk8CRxm+3lJG1Bd9G8NPF3y8aey33vL8ZaVuE6wfVeX9+sDwCnA+4Fx1I281I/ErEQMo4EvAm+nKjB/UXKzUNLV5X16PfBK4D7gKNudPb0Btu8s/a7wuqRzgbm2L1C18QZgU9t/lnQ7MMn2j3rqt6uOjo7+Nm1pw+U8h4LkunHznnmKAQ25k3w3U3LdXMl387RzrlPgNEDSy4DrgLfbflzSx4DrgdOoCokTbU8txcC1wA6S9gAE7Gl7saR3AVcBu5VudwS2tf17SV8HPgWcXrbtDmxn+8ly/GdtX1Qe7wt8DdjZ9vGSjgN2rU1pknQFMNX2OElrlDg/Cny9l1McyDmcBlxi+zpJI4ANbP9V0q3Ag7YvLfGsCRxULvxfAkyWdIDtH5Zj71ByMR+YDBxRYj0DWGB7a0mbUBWRLvucDRxn+54ywrVOl/frVGB/YF/b87sWDd0YSAynAvNt71SOeT7wWV58D7cB9qUqOH9eHv93X4F0YwowHrjg/2fv3sOuqur1/78RQsQ8kaShlalleUjaSkqWWR5zq+386m2lFpa208y2KcrOSndfSw1T6mvutmlpbctupfy5TaOyPCRSHtJkW1oZGpImQSIhEPD8/phj1XL1HNZzYMFa3K/r8mKtOccc4zPHms/l/KwxxlzAvsAs4K2SpgN7AD/pT2Xz5s0bQAjtZdy4cevEea4N0tcDM3zZsgEfm/5ujVzbrZX+bp126uuBJGJJcPpnD+CB2qgG8FXgUmAj4De2byvbvw5cJmlj4FCqEZGflhvsYcBmdXXeafv35fUsYP+6fT+pJTfFbpI+BoyhumF+VS+xHga8XtJp5f1oYG4f5zeQc/gx8O+SXg78wPZPe6h7ODC1jPgMA7akmopVS3Bm2P4zgKSfAtuV7W+hSvqwPV/St+vq/BHwOUnXAjfbnl237xyq0ZaD+7EuaSAxHAZsLOmI8n594IG6/dfbXlrqvK/UOZAE507AZcRoL6pk5wjgCeBB20sGUGdEREREx0mC0z/DgB6nF/VyzFdsf7KH/UvrXtemWtX8bYF5ubG9jmoU5T5J46hubntr919sP9rPeHuqq9tzsD1N0v9QjUz8P0nft/3xbur4KFVStIftpZIuo5qqVtPYDxvUtd0t26dK2gV4K3CtpIts10aoasniy4Ffl20reP66s/r2BxRD2XdSbWpZN3r7fJtm+zlJDwDvAv5AlVh+jipp7antiIiIiHVOHjLQP3cB4yW9urx/L9W0o2eB7ctULqjW1TxoexHwP8B7JG0N1cMCJO02gLZHUd0c10Z7TmrY/yzV+pGaG4AptYcTSNpc0iv6aKPf5yDpVbZ/a/u/qNYh1R4ssKghnk2BP5TkZivg7U2ddTU167jS1ouo1tJQ3u9g+0Hbnwf+m2p6Wc33gBOBmyTtVLb9lmoUbD1JGwGHDDYGqn7+qKQNyv6NJL2myXr76xbgP4BbbC+jSm4mle0RERERQUZw+sX205KOBb4haQTVYvNjqB4ycD/wLknTqL6pf0855nZJZwE3lGRjJHAtcG8/214k6ZPA3ZIeB25uKPI54EeSnqN6yMC/AZ8FHpDUBSwr237XSzMDOYdTJL0FWF7a+HCp6+vAlZKOpHrIwBeoRll+TpWkNXtT/n+Br0h6CJhD9bCCmvMlvZJqZObPwPvrD7T9o/KwhhtKHNOp1hL9L/Abmv8Meo2Bajrc3eUBD11UScgvm6z7ecr0t1qS+LCk2bYPLO9vKbHcUvd+L2BIH8UdES0yZiwjp1zQ78NGjN1yNQQTEdE5hnV19XfGVTTSEP+GTMRq1tUuCwsHo50WULa79HVrpb9bJ33dWunv1mmnvi4PGehtucA/yBS1iIiIiIjoGJmiNgTKb6+0xehNeXzzyxo2P277sDURz7pI0peAPRs2r8gIYERERMTgJcFZxySRWfNsf3BNxxARERHRqTJFLSIiIiIiOkYSnIiIiIiI6BhJcCIiIiIiomMkwYmIiIiIiI6RhwxERESsAcMXzocFT/f7uGeXLYH1R6+GiCIiOkMSnIiIiDVhwdMsP//Mfh828uxpsPW2qyGgiIjOkARnHSNpDnCI7dmSLgeusn1HL+XPAV5o+/RBtjsJmGn7kUHU0QVsZHvxYGLppf5zGIJzHWDb44EvAq8DbrJ9RKtjiIiIiOgEWYOzDrN9fG/JTX9I6itZngS8aijaWps10Q89+SPwUeDUIQwnIiIiYp2TEZwOJmkiMBXYqGya3LD/VuBC2zdK2gS4GJgArALusH1yQ/ldgG8AJwOPAfcAlwD7Af8t6dfAucAoqmvr07avkXQcsDvwBUnnAqfb/qGkM4AjStkngBNsP9nHaZ0i6R3Ai4DJtqeX2K4GdgDWB34DvM/2Qkn7AJ8HfgbsCfwVOBY4G9gZ+D1wuO2/lPpfJukm4OXAr0o9z0i6ErjH9iWlvb+9L6+fBV4JjAV2k/R/gE8DzwHXltc9jj7ZngfMk/Saxn1lZOnVwMZUSeK9wPnA50qc37Y9ufG43owbN64/xdvWunKea4P0df8tnPsoywd4bPq7ddLXrZX+bp1O7uskOB1K0hjgO1Q37zMlDae6Qe7JNGAxsKvtVZI2b6hv31LmKNsPSdqGKsn4pe1zSpnNgDfaXilpC+BeSTNsf1XSeynJVCl7DLA9sGdp70SqG/aj+zi1RbYnSNoLMDC9bP+I7fml7nOBM4EpZd+OwHttnyDpi8CM0u7cksy8C7i8lH0TMN72U5K+AnwCaGbK2kTgzbb/IunFwGWljV9LGopRmd2oksTFwH1UCc7bqP6GfyfpMtu/brayefPmDUFIa7dx48atE+e5NkhfD8zwZcsGfGz6uzVybbdW+rt12qmvB5KIJcHpXBOBh2zPBLC9ElgoqafyhwC72V5Vys+v23cAcBBwQBlpqFlKlWTUjAW+IumVwApgDNWoyqxu2juM6ob9vhLTCOCZJs7rmvLvLGCcpFG2lwLvkXQ0MBLYEKhf6/Ow7fvL6/uAl9ueW97fS5Vo1dxo+6ny+grg/zURE8B1daNAewL31SUcXwEuarKensyw/QyApF8AD9heBiyT9DCwHdB0ghMRERHRqbIGp3MNG8K6HgGGUyUk9f5iu6vu/X8CtwK72B4PzKWartZTfOfaHl/+29n2Xk3EshT+lrABjJD0JuBE4CDbuwAfb2h3ad3rld287ynRHwbUzm8Fz/97aTyv+qln9ccNlYGeQ0RERMQ6JQlO55oJ7FjW4SBpeJlC1pMbgcmShpXy9VPU5gD7A+dJOqqXOjYF5tjukrQ/zx8ZWQRsUvf+BuCkWkyS1pe0a3On1m27zwB/krQ+8L4B1gPwz5LGlteTgB+X17+lWp+EpJcAb+mljllU63Bq5z9pEPFERERERD/kW98OZXuBpMOBiyRtSPXggN7WkpxKtcZmtqQVwG3AKXX1zS3rcGZIGs3fb/zrTQEulTQF+EX5r+Yy4EJJp1M9HODrJYm6rUxRWw+4FHhgAKd7M3AM1UMB5lI9/OD1A6gH4BaqaXbbAg8Dp9XFf52kB6hGtH7aUwVl/c4Hge9Kmg/8D9XDDZb0dExZ0/QTYDQwStJc4GzbVwzwPCJibTdmLCOnXNDvw0aM3XI1BBMR0TmGdXUN9UyaiJC0ke1ny+vjgPfbfuMaDqumq10WFg5GOy2gbHfp69ZKf7dO+rq10t+t0059XR4y0K+lFxnBiVg9TpF0JNXf2ALghDUcT0RERMQ6IQlOrFUkfRI4vJtdB9j+Y6vjGSjbn6b67Zu/KY+P/n43xb9t+1MtCSwiIiKiwyXBibVKudHvyJv9kqCNX9NxRERERHSyPEUtIiIiIiI6RhKciIiIiIjoGElwIiIiIiKiYyTBiYiIiIiIjpGHDERERLTY8IXzYcHTAzr22WVLYP3RQxxRRETnSIITERHRagueZvn5Zw7o0JFnT4Ottx3igCIiOkcSnOgYkuYAh9ieLely4Crbd/RS/hzghbZPH2S7k4CZth8ZRB0XAv8H2AbYxfbswcQUERERsa7KGpzoSLaP7y256Q9JfX0RMAl41SCbuR7YG3hskPVERERErNMyghNtSdJEYCqwUdk0uWH/rcCFtm+UtAlwMTABWAXcYfvkhvK7AN8ATqZKMu4BLgH2A/5b0q+Bc4FRVH83n7Z9jaTjgN2BL0g6Fzjd9g8lnQEcUco+AZxg+8mezsf2T0oc3Z1rF/Bx4F+AFwEnlLgOAl4AHGn7l331Wb1x48b1p3jbWlfOc22Qvu6fhXMfZfkgjk9/t076urXS363TyX2dBCfajqQxwHeAw23PlDQc2LiXQ6YBi4Fdba+StHlDffuWMkfZfkjSNlSJxC9tn1PKbAa80fZKSVsA90qaYfurkt5LSaZK2WOA7YE9S3snAp8Djh7Eaf/Z9gRJRwL/X4n130sidRZwTH8qmzdv3iBCaQ/jxo1bJ85zbZC+7r/hy5YN6vj0d2vk2m6t9HfrtFNfDyQRS4IT7Wgi8JDtmQC2VwILuxv9KA4BdrO9qpSfX7fvAKqRkANs1/+lLwVc934s8BVJrwRWAGOAHYBZ3bR3GNWozn0lphHAM/05wW58q/x7H9Bl+7vl/b3A4YOsOyIiIqJjJMGJdjRsCOt6BNiJKiG5oW77X2x31b3/z7L/cNtdkh6hmq7WU3zn2v7KEMa5tPy7Eqj/6ncl+TuOiIiI+Js8ZCDa0Uxgx7IOB0nDyxSyntwITJY0rJSvn6I2B9gfOE/SUb3UsSkwpyQ3+1NNQatZBGxS9/4G4KRaTJLWl7Rrc6cWEREREYORb36j7dheIOlw4CJJG1I9OKC3Rz2fSrXGZrakFcBtwCl19c0t63BmSBoN/LibOqYAl0qaAvyi/FdzGXChpNOByba/XpKo28oUtfWAS4EHegpQ0heoppptCfxQ0p9s79RrR0RE+xozlpFTLhjQoSPGbjnEwUREdJZhXV1dfZeKiE7S1S4LCwejnRZQtrv0dWulv1snfd1a6e/Waae+Lg8Z6NfyhExRi4iIiIiIjpEpahEtIumTdP/EswNs/7HV8URERER0oiQ4ES1i+1PAp9Z0HBERERGdLFPUIiIiIiKiYyTBiYiIiIiIjpEEJyIiIiIiOkYSnIiIiIiI6Bh5yEBERESLDV84HxY8PaBjn122BNYfPcQRRUR0jiQ4ERERrbbgaZaff+aADh159jTYetshDigionNkilqLSZojaefy+nJJb+qj/DmSLhxkm/tIumcwdQyV3s6nmXOt77/VQdIkSdetrvr7aHsrST+W9Mza8nlFREREtJuM4KxBto9f0zHE0JO0HtBlu6ufhy4GzgY2Bs4Z6rgiIiIi1gVJcFYjSROBqcBGZdPkhv23AhfavlHSJsDFwARgFXCH7ZMbyu8CfAM42fZtkg4GzgJGAcuBU23PKmXPBd4JPAH8rIlYTyvlRwBLgRNt31/2dZV23gG8CJhse3pp/zN11ewIHAn8FPgm1Y36KOC7ts+oK7eVpJuAbYHfAkfaXtJXjM8PV18GXkLVf5eUjRcCbwZGAvOB99l+TNI2wD3Al4GDgA2Ao4EPAnsAzwFvt/1kqX8TSdOB7YE/AcfafkLSOcALbZ9e2vvb+/J6e+CFwHbA3mWk6VKgC/gx8C/AP9ue3d1J2X4GuF3SPt2c8F3AKbbvlnQp8GbbO0kaATwJvNz2X5rtwHHjxjVbtK2tK+e5Nkhf98/CuY+yfBDHp79bJ33dWunv1unkvk6Cs5pIGgN8Bzjc9kxJw6lu+Hsyjeob/F1tr5K0eUN9+5YyR9l+SNJ2wCeAA20vkrQTcDPwMkmHAocB46lu3q9vIuSv2f5caWs/4EvAnnX7F9meIGkvwMB02zcBN5VjTgCOA2aU8ofaXizpBcAMSQfZ/l7ZtztVIvdMKX80VfLRrNG2J5bEZbakK20vBs6vSz6OBy6gStqgSsx+YvvfJU0GbgH2sX1CSRhOBj5eyr4RGG/7YUlnA58Hjmgirr2Bf7I9X9L6VEneu2zfIekdwCn9OMdGtwD7AneX+J6T9BJgG+CX/UluAObNmzeIUNrDuHHj1onzXBukr/tv+LJlgzo+/d0aubZbK/3dOu3U1wNJxLIGZ/WZCDz06XljAAAgAElEQVRkeyaA7ZW2F/ZS/hBgqu1Vpfz8un0HUN1kH2j7obLtQKqRgtsl3Q9cDYyQtAXwFuBbthfbXglc0US8u0m6XdJs4CKq5KjeNeXfWcA4SaNqOyQdCJxGNQqyFBgOTJX0AHAvsHNDfTNs/7lM4fppOY/+uAbA9hxgIbB12f42SbPKOZze0OZi298tr+8D5tZGqEqM29eV/Ynth8vry4G3NhnXTXWf2w7Ac7bvKLF+B/hzk/V050fAfpJeSjWqdCNVwrMfVfITERERESTBWZ2GDWFdj1AlDbs31P892+Pr/htn+6n+ti1pJHAd8G+2d6aaxrV+Q7GlUCVq5f2IcuyuVKM9h9muPfP0o8BmwB62X0s1gjSqsa5iJf0fSfyH4yW9nGqK37vKObyvoc1lDcc0G8MwqilmACt4/t/MqIayi3s4bijcCfwT8M9UCU1tRGdfquQnIiIiIkiCszrNBHYs63CQNFzSZr2UvxGYLGlYKV8/RW0OsD9wnqSjyrbvAweVqWmUYyaUl7dUb7VhmRp3XB+xjqK6wf99eX9SXydX2tsKmE61RuWRul2bAn+wvbSUeXsz9Q3SxlTrkJ4si/w/OIi69pL0yvJ6EtX6GajWC+0maT1JG1GNuvXkV8CGZUofkt5O1S8DYnsZ1cjTFOCHVCNpewGvLa8jIiIigqzBWW1sL5B0OHCRpA2pHhxwei+HnEq1xma2pBXAbdSt2bA9t6zDmSFptO2vSjoGuELSBlQL6+8E7i4PLZgI3A/Mo7pB36qXWBdJ+iRwt6THqdbyNON4YCxwiaT68/gCcK2kn1MlTat9CpXtByVdC/wv8DhV/+09wOpuA/6jJI9/Ao4t26cDKm38hmpqW0/xLJP0buBLkpZQjbI8RbXuqFslGX2MavRsE0lzgcttn1OK3EK1duke2ysk/Qb4ne3BrFWOiDVhzFhGTrlgQIeOGLvlEAcTEdFZhnV1DeUsmoiokbSR7WfL67cAVwHb1NZZrUFd7bKwcDDaaQFlu0tft1b6u3XS162V/m6ddurr8pCBfi2/yAhOxOrzfySdSjUVdCnV+qA1ndxEREREdLQkOOuQbn63puZj5ZHPa4XyiOeTu9k1qe7JZ2s921cCVzZul3QP//i3N8v2YNYNRURERASZohaxLsoUtRhS6evWSn+3Tvq6tdLfrdNOfT2QKWp5ilpERERERHSMJDgREREREdExkuBERERERETHSIITEREREREdI09Ri4iIaKHhC+fDgqcHfPyzy5bA+qOHMKKIiM6SBCciIqKVFjzN8vPPHPDhI8+eBltvO4QBRUR0lo6YoiZpjqSdy+vLJb2pj/LnSLpwkG3uU37PZI3r7XyaOdf6/huCWLaR9IGhqKubeuf3UWaSpOuGuu3+xDDI+j8s6VeSHpT089XVTkREREQn67gRHNvHr+kY1nHbAB8ALlvDcbQVSYcDRwITbD8racs1HVNEREREO2q7BEfSRGAqsFHZNLlh/63AhbZvlLQJcDEwAVgF3GH75IbyuwDfAE62fZukg4GzgFHAcuBU27NK2XOBdwJPAD9rItbTSvkRwFLgRNv3l31dpZ13AC8CJtueXtr/TF01O1Ld+P4U+CawcYntu7bPqCu3laSbgG2B3wJH2l7SV4x1jpa0FzAOmGb7khLnDsA0YHNgZNn3VUmjgauAnYC/Ag/bFvBF4BWS7gd+Y/uIMoL05nL8fOB9th+TtA1wD/BfwMHAaOD9tn9S2v4QcCrwB+DWun59MdVntkXZ9EPbp9afjKSXAt8BPkv1Wd1je/Oyb5va+4HGUPZ1e61I2qf02U+BiUAX8E7bv+yl/08DPmH7WQDbT9a1cytwL/B6qgTy81TX4IepPq/Jtq/tpe5/UH40q+OtK+e5NkhfN2/h3EdZPsg60t+tk75urfR363RyX7dVgiNpDNVN6+G2Z0oaTnXD35NpwGJgV9urJG3eUN++pcxRth+StB3wCeBA24sk7QTcDLxM0qHAYcB44Dng+iZC/prtz5W29gO+BOxZt3+R7QklsTAw3fZNwE3lmBOA44AZpfyhthdLegEwQ9JBtr9X9u1Olcg9U8ofDXy5iRhrtrC9t6QtgJ9Luh14iCqRONr2ryRtBNwj6S7gNcBmtncssW5W6vkQVYK5e13d59s+vZQ7HriAKvGDKrm7y/ZZko4u+/aS9Fqq5OF1tp+SdGldfUcDj9ner6FtyvtdgauBk2zfXpKY3vQ7ht6ulVJkJ+A42/8q6Szg4yXunuwI7FmS6JHAf9mu//y2pkoStwR+A1xs+w2SXg98G+hXgtMuv148GO30K83tLn3dP8OXLRt0Henv1si13Vrp79Zpp74eSCLWbmtwJgIP2Z4JYHul7YW9lD8EmGp7VSlfv37iAKpvwg+0/VDZdiCwHXB7GYG4GhhRbvrfAnzL9mLbK4Ermoh3N0m3S5oNXESVHNW7pvw7CxgnaVRth6QDqb7Vf7vtpcBwYKqkB6i+zd+5ob4Ztv9su4tq5GC7JuKrdwWA7aeA7wL7AK+iSmSuKf1xB7B+2fYA8GpJX5R0JNDb/7HfJmlW6YfTG+JebPvGun6oxb0P1SjVU+V9/ZS3WcABkqZKOoQqia15LdUN/5G2b2/y3AcSQ2/XClQjWrV1NPV19mQ48FLgjVQjSWdI2rtu/7W2V9meB/yJKtGH6lrYqv7aiYiIiFiXtdUIDjBsCOt6hOpb9t2BG+rq/57t9zQWltSvtiWNBK4D9rZ9n6RxVNOK6i2FKlGTBOXzKCMQX6JKvmrPEv0osBmwh+2lki6jmhr1vLqKlcAG/Ym3wTCqaVXDgPm2GxMzSpyvAfYF3gZ8pkz3ayzzcso0Qdu/k/QGqlGhmvrEaCV/vyZ77G/bd0kaD+wPHAtMoUoMAOZSTV/cB6hNCVvB85P5xmSg3zHQ+7XyGv7x8+jrb+1x4JslGf+jpB9QTUmrJWmN9XV77URERESs69ptBGcmsGNZh4Ok4Y3TkxrcCEyuJScNU9TmUN0gnyfpqLLt+8BBZboR5ZgJ5eUt1VttWKbGHddHrKOobjp/X96f1NfJlfa2AqYDx9p+pG7XpsAfSnKzFfD2Zurrh0ml/bFUCcutwMPAEknH1sX3akkbS9oaWGn7eqo1KmOBMcAiYJO6ejemWp/ypKT1gA82Gc+PgYPLehuA99fF8Aqq6X3XUCV+u5W6ARYA+wHHljVQAE8CL5C0fXn/7sHGQO/XykB8Azio1LMh8CaqUbKIiIiI6Ie2+tbX9oLytKmLyk3gKqopTz05lWqNzWxJK4DbgFPq6ptb1uHMkDS6LJ4/BrhC0gZUayHuBO4uDy2YCNwPzKO6+d2ql1gXSfokcLekx6nWZzTjeKpk4ZLyzXztPL4AXKvq8cG/p0q4htLjku4AXgKcZ/tBgLL2aJqkyVTTqJ4CBOwCnF9iHF6OmSfpj8DDZTrar8pDBq4F/pdqlOI2YG/6YPsXkj4D3CnpSappczX7AKeVz3Q94INljVXt2GckHQDcKGlD25+S9BHgB5Ieo/rs+tRbDLZ/3dO10kzd3bgYuEzS/5b3X7P9gwHWFRFrszFjGTnlggEfPmJsHrIYEdGbYV1dXWs6hohora52WVg4GO20gLLdpa9bK/3dOunr1kp/t0479XV5yEC/loq02xS1iIiIiIiIHrXVFLW1kf7xd2tqPlYe+bxWKI9nPrmbXZNqv80Tq1e7XCsRERER7SxT1CLWPZmiFkMqfd1a6e/WSV+3Vvq7ddqprzNFLSIiIiIi1mlJcCIiIiIiomMkwYmIiIiIiI6RBCciIiIiIjpGnqIWERHRQsMXzocFTw/4+GeXLYH1Rw9hRBERnSUJTkRERCsteJrl55854MNHnj0Ntt52CAOKiOgsHZHgSJoDHGJ7tqTLgats39FL+XOAF9o+fRBt7gNcaHv3gdYxVHo7n2bOtb7/hiCWbYADbF822Lq6qfce25v3UmYS1XkcMZRt9yeGQdR9FnAUsJLqUYjn2f7WULcTERER0ek6bg2O7eN7S25itdsG+MCaDqINXWL7tbZfBxwMfFnSZms6qIiIiIh203YjOJImAlOBjcqmyQ37b6UaWblR0ibAxcAEYBVwh+2TG8rvAnwDONn2beXX5s8CRgHLgVNtzyplzwXeCTwB/KyJWE8r5UcAS4ETbd9f9nWVdt4BvAiYbHt6N792vyNwJPBT4JvAxiW279o+o67cVpJuArYFfgscaXtJXzHWOVrSXsA4YJrtS0qcOwDTgM2BkWXfVyWNBq4CdgL+CjxsW8AXgVdIuh/4je0jJF0IvLkcPx94n+3HaiMiwH9R3dSPBt5v+yel7Q8BpwJ/AG6t69cXU31mW5RNP7R9av3JSHop8B3gs1Sf1d9GXupHYgYaQ9nX7bVSRvemUX1mE4Eu4J22f9lT59t+pu7tC8sx65V2bgXuBV5PlUB+nuoa/DDV5zXZ9rU91d2d8qNZHW9dOc+1Qfq6eQvnPsryQdaR/m6d9HVrpb9bp5P7uq0SHEljqG5aD7c9U9Jwqhv+nkwDFgO72l4l6XlTiyTtW8ocZfshSdsBnwAOtL1I0k7AzcDLJB0KHAaMB54Drm8i5K/Z/lxpaz/gS8CedfsX2Z5QEgsD023fBNxUjjkBOA6YUcofanuxpBcAMyQdZPt7Zd/uVIncM6X80cCXm4ixZgvbe0vaAvi5pNuBh6gSiaNt/0rSRsA9ku4CXgNsZnvHEmtttOFD/OPUvfNrU+QkHQ9cQJX4QZXc3WX7LElHl317SXotVfLwOttPSbq0rr6jgcds79fQNuX9rsDVwEm2by9JTG/6HUNv10opshNwnO1/LdPPPl7i7pGkDwL/BryUKgn8U93uramSxC2B3wAX236DpNcD3wb6leC0y68XD0Y7/Upzu0tf98/wZcsGXUf6uzVybbdW+rt12qmvB5KItdsUtYnAQ7ZnAtheaXthL+UPAabaXlXKz6/bdwDVN+EH2n6obDsQ2A64vYxAXA2MKDf9bwG+ZXux7ZXAFU3Eu5uk2yXNBi6iSo7qXVP+nQWMkzSqtkPSgcBpwNttLwWGA1MlPUD1bf7ODfXNsP1n211UIwfbNRFfvSsAbD8FfBfYB3gVVSJzTemPO4D1y7YHgFdL+qKkI4He/o/9NkmzSj+c3hD3Yts31vVDLe59qEapnirv69f0zAIOkDRV0iFUSWzNa6lu+I+0fXuT5z6QGHq7VqAa0fp5N3X2yPaXbL+aKgk+S9KL6nZfa3uV7XnAn6gSfaiuha3qr52IiIiIdVlbjeBQLb4eKo9Qfcu+O3BDXf3fs/2exsKS+tW2pJHAdcDetu+TNI5qWlG9pVAlapKgfB5lBOJLVMlX7VmiHwU2A/awvVTSZVRTo55XV7ES2KA/8TYYRjVFahgw33ZjYkaJ8zXAvsDbgM+U6X6NZV5OmSZo+3eS3kA1KlRTnxit5O/XZI/9bfsuSeOB/YFjgSnAG8vuuVTTF/cBalPCVvD8ZL4xGeh3DPR+rbyGf/w8mv5bs/2gpHlU5zC9bG6sr9trJyIiImJd124jODOBHcs6HCQN72Mh9o3A5Fpy0jBFbQ7VDfJ5ko4q274PHFSmG1GOmVBe3lK91YZlatxxfcQ6iuqm8/fl/Ul9nVxpbyuqm9pjbT9St2tT4A8ludkKeHsz9fXDpNL+WKqE5VbgYWCJpGPr4nu1pI0lbQ2stH091RqVscAYYBGwSV29G1OtT3lS0nrAB5uM58fAwWW9DcD762J4BdX0vmuoEr/dSt0AC4D9gGPLGiiAJ4EXSNq+vH/3YGOg92ul30pSVHv9CuB1VFMEIyIiIqIf2upbX9sLJB0OXCRpQ6oHB/T2qOdTqdbYzJa0ArgNOKWuvrllHc4MSaPL4vljgCskbUC1KP5O4O7y0IKJwP3APKqb3616iXWRpE8Cd0t6nGp9RjOOp0oWLinfzNfO4wvAtZJ+TpU03dJkfc16XNIdwEuoHlH8IEBZezRN0mSqaXJPAQJ2Ac4vMQ4vx8yT9Efg4TId7VflIQPXAv8LPE71GezdVzC2fyHpM8Cdkp6kmjZXsw9wWvlM1wM+WNZY1Y59RtIBwI2SNrT9KUkfAX4g6TGqz65PvcVg+9c9XSvN1N2N/yjJ0l+pRmhO6e2hBBHRxsaMZeSUCwZ8+IixWw5hMBERnWdYV1fXmo4hIlqrq10WFg5GOy2gbHfp69ZKf7dO+rq10t+t0059XR4y0K+lIu02RS0iIiIiIqJHbTVFbW2kf/zdmpqPlUc+rxXK45lP7mbXpNpv88Tq1S7XSkREREQ7yxS1iHVPpqjFkEpft1b6u3XS162V/m6ddurrTFGLiIiIiIh1WhKciIiIiIjoGElwIiIiIiKiYyTBiYiIiIiIjpGnqEVERLTI8IXzYcHTg6rj2WVLYP3RQxRRRETnSYITERHRKgueZvn5Zw6qipFnT4Ottx2igCIiOk8SnDVI0hzgENuzJV0OXGX7jl7KnwO80Pbpg2hzH+BC27sPtI6h0tv5DMW5dlPn7sCpto+WtCnwAdufrdt/K1Xf3NhEXeOAq22/pYmyJwIfAZ4D9rb9bDdljgNOBVYBw4Ev2/5Cc2cWERERETVJcNYSto9f0zF0Otv3AEeXt5sCZwCf7fmI7kkaYXse0GdyU5wCHGv77l7KTAeutN0laSNgtqRbbf+iv/FFRERErMuS4LSIpInAVGCjsmlyw/5bKaMHkjYBLgYmUH2jf4ftkxvK7wJ8AzjZ9m2SDgbOAkYBy6lGKmaVsucC7wSeAH7WRKynlfIjgKXAibbvL/u6SjvvAF4ETLY9vbT/mbpqdgSOBH4KfBPYuMT2Xdtn1JXbStJNwLbAb4EjbS9pIsbxwJV1m7YHzrL9+Z76omH06ovAppLuB5bYfkOpZz9JpwNbA7b9sdLercBMYA9gqaQPAffY3rzs3wM4v5wnwCdtf1fSt4DtgK9Lutd2LcF6HtuL6t6OBl4AdJW6rwSWAa8sdX0b+B/gP4CXAhfb/nxffVav/GhWx1tXznNtkL5uzsK5j7J8COpJf7dO+rq10t+t08l9nQSnBSSNAb4DHG57pqTh/P1GuDvTgMXArrZXSdq8ob59S5mjbD8kaTvgE8CBthdJ2gm4GXiZpEOBw4DxVFOkrm8i5K/Z/lxpaz/gS8CedfsX2Z4gaS/AwHTbNwE3lWNOAI4DZpTyh9peLOkFwAxJB9n+Xtm3O1Ui90wpfzTw5b4CLAnX+NLeQVQJ4dW99UVDFbUEZXzD9h2B/aiSo7skzaybsrZzqXeFpG1qB5Tpbl8CDrb9B0kvAe6WtLPto8pUxCNsz+7tnCQdBpxHlcT8u+0H63bvBOxLNX1tDrAJ8GbgJcDDkq6wvbi3+uu1y68XD0Y7/Upzu0tfN2/4smVDUk/6uzVybbdW+rt12qmvB5KI5THRrTEReMj2TADbK20v7KX8IcBU26tK+fl1+w4APk91o/1Q2XYg1U3x7WVE4mpghKQtqKZRfcv2YtsrgSuaiHc3SbdLmg1cREkk6lxT/p0FjJM0qrZD0oHAacDbbS+luiGfKukB4F6qJKG+vhm2/2y7i2q0Z7sm4vubMpLzn8BhpZ9664tmXGV7RUkWrgHeWrfvG7ZXdHPMG4BXADeXNm+mGn3Zvj/nYvsG2zsBrwKOlbRD3e7rbS8ro1sPAzfZXmX7CWAh1YhTRERExDovIzitMWwI63qE6tv83YEb6ur/nu33NBaW1K+2JY0ErqNaDH9fWUz/REOxpVAlapKgXEeSdqUayTjQdu05qB8FNgP2sL1U0mVUoyPPq6tYCWzQj1i3LrEeY/vXZXNvffGaZuuuq6ur7n1PIyTDgF/Y3ruf9XfL9uOSfkaV6D5cNjf2U+P7/C1HREREkBGcVpkJ7FjW4SBpuKTNeil/IzC5lpw0TFGbA+wPnCfpqLLt+8BBZToW5ZgJ5eUt1VttWKbGHddHrKOobpZ/X96f1NfJlfa2oloof6ztR+p2bQr8oSQ3WwFvb6a+JtrbiKqfPmb7zrpdvfVFvUXAaEmNicGxkkZI2pBqDdGPmwhnJvBKSX976ICkCf1JLiW9uu715lQjbw/2fEREREREdCff+raA7QWSDgcuKjfOq4DeHn98KtUam9mSVgC3UT2Jq1bf3LIOZ4ak0ba/KukY4ApJGwAjgTuBu8tDCyYC9wPzqG7Yt+ol1kWSPkm1huRxqulWzTgeGAtcUkZ1aufxBeBaST+nSppuabK+vhwO7AB8TNLHyraptq/uqS/qDy6fydXAg5IW1j1k4D7gh1R9dG0zj4y2vbCsn5kqaVpp81HgUJ4/AtSbf5V0APBXqhGhS2x/v8ljI6JdjBnLyCkXDKqKEWO3HKJgIiI607CurmbvvyKiQ3S1y8LCwWinBZTtLn3dWunv1klft1b6u3Xaqa/LQwb6teQiU9QiIiIiIqJjZIraOqqb362p+Vh55PNaQdLxwMnd7JpU+22edtHNb/fUXGL78haHExEREdGRMkUtYt2TKWoxpNLXrZX+bp30dWulv1unnfo6U9QiIiIiImKdlgQnIiIiIiI6RhKciIiIiIjoGElwIiIiIiKiY+QpahERES0yfOF8WPD0oOp4dtkSWH/0EEUUEdF5kuBERES0yoKnWX7+mYOqYuTZ02DrbYcooIiIzrPOTFGT9EFJpw5xnV2SXjiUdQ4wjn0k3dPffXVlrpTU3W/NDDSecySNHKr66uqdI2nnXvZvI2n+ULfbnxgGUe94SXdKWiLpuqGuPyIiImJdsVYmOJKGfGTJ9pdsXzzU9Ua3zgaGPMHpcH8EPgoMaRIeERERsa5Za6aoSeoCzgD+GbgD+ISkM4AjqOJ8AjjB9pNldOAzwEHASuBR2+8o9fR0zDnAC22fLunXwBG2HyjHfBj4J9vHSdoBmAZsTnWTPs32V0u5w0u7C4CbmjinfYFzgVElnk/bvqbsuxW4G5gIjANse4qkFwPfr6vmZcBVtk+VdDWwA7A+8BvgfbYXlnIjJP1Xqa8LeKftX/bZ8X+3q6QfAi8Fbgc+ZHu5pI2Bi4DXlvP4MfBR2yslnQ28C1ha2nwL8OlS30xJq4B9gIOBj/D3pOd027eUfpgDfA3YH3gJcKHtS8q+NwGXAs8Bsyg/8iRpPeAS4K3AMmCx7b3qT0bS+sDXgbnAacDvgENsz65r9xDbswcSQ9nX27XSBZwFvAN4ETDZ9vSeOt/2PGCepNc07ivX7quBjYFXAfcC5wOfA14OfNv25J7q7k750ayOt66c59ogfd2chXMfZfkQ1JP+bp30dWulv1unk/t6rUlwivVs7wMg6Rhge2BP26sknUh1Q3c08O/AtlRJyXJJmzdxTL2vAe+l+sYcYBJwahk5+gZwtO1fSdoIuEfSXVRJzZeBN9h+uCRSfbkPeGNJBrYA7pU0oy4peRmwN7AR8FtJV9j+NTC+nM/rgOlUN/MAH7E9v+w7FzgTmFL27QQcZ/tfJZ0FfLyb8+7NHsAbqJKVm4APlHYvAm6zfXxJLK4G3lemUZ0OvNj2c6WvnrP9IUknlX5aXGKdAXzTdldJCm4Btq5re7TtiZK2AWZLuhL4K3AN1WdxqyQBHy7ldwX2A15dPufN6k9E0hjg28B3bH++bOvr/PsVQ2/Xiu1flToX2Z4gaS/AVJ/lQO0G7A4sprquzgfeRvU3/DtJl5Vrpynt8uvFg9FOv9Lc7tLXzRu+bNmQ1JP+bo1c262V/m6ddurrgSRia9sUtavqXh9GdRN7n6T7gQ8B25R9h1B9W74coHbT38cxje28S9KIsp5iE6pRo1cBrwGuKcffQTVa8hpgT+A+2w+XOi5r4nzGAtdJmg3MAMZQjcDUXGt7le1ngF8C29V2SHopcB3VDfRvy+b3SLpX0oPAuymJUPGw7Z+X17Pq62rSt2wvtr2Cqn/eWrYfBkwu/XEf1Y32q4BFwMPAf0s6gWp0bEUPdW8HzJD0v8C3gC0lbVm3/xoA23OAhVTJzw7AEtu3ln0GninlHwWGA1dIOrahrVHAT4Av1pKbJvU3ht6ulefVSfV5jJM0qh/xNJph+xnbK4FfAD+wvcz2X6g+h/5+3hEREREdaW0bwVlc93oYcK7tr3RTblg32/o65m9sPy7pIapvwPehmgLWJWkYMN/2+MZjJL29mRNo8J/ADcDhpf5HqG7Aa5bWvV5J+TzKtLAbgTNt31W2vQk4kWpk5GlJ76YaZem1rgEaRjXlrPb6X2w/2lhI0p7AXlTJ0L2SDrL9i27q+yZwmu3ryyjQEvruh54+Y2w/I2knqs9uX+ACSf9Udi+nSigOk/TtkhAArOD5CX1jstGvGMq+bq+VxjrLCB4M7jNpjG8oP++IiIiIjrG2jeDUuwE4qTb9SNL6knYt+/4H+Lfak7pqU9T6OKbRlcDxVGtIaiNHDwNL6kcFJL26JBx3Aa+T9Mqy6/gmzmFTYE5Jbvanmj7XqzL16Trg67brn6a1KdXowZ/K+pL3NdF+fxwpacPS/jFUa22g6tMpkoaX+DaX9IoyJWus7dtsnw3MBmpPF3uWalSsPvbfldfvpxrp6MuvgA0k7V3aPaJWp6SxwAa2v0c1Re8ZqimLAKtKG4uAb0l6Qdn+W2BCOX5fYIvBxEDv10pERERErCFr7be+tr9eEpfbyrff61Et9n6Aav3BecD9kpZTLbg/oo9jGtXWttxt+/HS5gpJhwLTJE2mmgb1FCDbf5T0AeB/JC2gWlPRlynApZKmUE0r6m50o9FeVKMSLy5riqBa93IxVeLxK6qF8/cAr2+ivmbdDlxPtS7odv4+Be/fgM8CD5SF88vKtr8C0yVtQNXP91Gte4Fq3dOPJD1HNcryb8D1kp4AbgP+1FcwtpdJehdV/z0H/Ah4vOx+KfDlkoyNAG6mGrV5WTm2C/iQpAtLu/+Hak3SVWU63Z11dQ0oht6ulaFa+bYAACAASURBVL7q7U5Z+/MTYDQwStJc4GzbVwykvohYS40Zy8gpFwyqihFjt+y7UETEOmxYV1dX36UiopN0tcvCwsFopwWU7S593Vrp79ZJX7dW+rt12qmvy0MGels28A/W5ilqERERERER/bLWTlFrF/rH362p+bbtT7U6np5IGk+17qjRJbYvb3E466R2uVYiIiIi2lkSnEGy/Uee/7jmtZLt+2mDODtZu1wrEREREe0sU9QiIiIiIqJjJMGJiIiIiIiOkQQnIiIiIiI6RhKciIiIiIjoGHnIQERERIsMXzgfFjw9qDqeXbYE1h89RBFFRHSeJDgRERGtsuBplp9/5qCqGHn2NNh62yEKKCKi8yTBWUtJmgMcYnu2pMuBq2zf0Uv5c4AX2j59kO1OAmbafmQw9awOkq4E7rF9SR/lbgUutH1jw/bxwKtse7UFOUCSLgXeCKwC/gpMsX3Lmo0qIiIiov1kDU4bsH18b8lNf0jqK6mdBLxqKNrqSxOxDLXxgFrcZrP+3fZrbY8Hjge+JWnYmg4qIiIiot1kBGctIGkiMBXYqGya3LD/VsqIhKRNgIuBCVTf9t9h++SG8rsA3wBOBh4D7gEuAfYD/lvSr4FzgVFU18CnbV8j6Thgd+ALks4FTrf9Q0lnAEeUsk8AJ9h+spfz6QL+AzgAeBHwMdvT6/adAfwzcEcZeboAOKgc/j3gTNsrJW0FfA3YHPgddddr4yhNL6M27wROK/F/CthY0v3A7bZPKfGcBbyjxDq5LtY9gPOBjUt1n7T9XUnnAQtsT5Uk4BpgS9t/lHQTMA24v3wGW5Rjf2j71J76zPYzdW83AbrqzmEO8N/AvsBWwBTgxcC7gTHAcf1NgMeNG9ef4m1rXTnPtUH6ujkL5z7K8iGoJ/3dOunr1kp/t04n93USnDVM0hjgO8DhtmdKGs7fb6i7Mw1YDOxqe5WkzRvq27eUOcr2Q5K2obpx/6Xtc0qZzYA3liRiC+BeSTNsf1XSe3l+4nAMsD2wZ2nvROBzwNF9nNoq22+QtAMwU9Idtv9Y9q1ne59S/4lUIyv/VPbdDHwA+E/gC1SJyH9I2hZ4gCoBakpJzA4A9rP9jKRPUk37O6Kh6CLbEyTtBRiYLmlT4EvAwbb/IOklwN2SdgZuAU6nSkr3BWYBb5U0HdgD+Anwr8BjtvcrsWzWRLyfourXzaiuh6663evbnihpAnArcIbt15cE6zyq6W1NmzdvXn+Kt6Vx48atE+e5NkhfN2/4smVDUk/6uzVybbdW+rt12qmvB5KIZYramjcReMj2TADbK20v7KX8IcBU26tK+fl1+w4APg8caPuhuu1LqW7ca8YC10maDcygGgXYoYf2DqMa+bmvjHx8CNimifO6osT3MHAfsGfdvqvqXu8HXGl7ue3lwFfLNoC3AJeXeh6lSiyadU5p8+CG0ZHuXFP+nQWMkzQKeAPwCuDmct43U42qbA/cCbxe0khgL6qRof1Kew/aXlLqOkDSVEmHUCWlvbL9SdvbUY02fbbUX/Ot8u99wOi69/eWmCIiIiKCjOCsDYZyncUjwE5U08xuqNv+l4bRgP8s+w+33SXpEarpaj3Fd67trwwirmHUTbni+Tf7jfvo5n13VvD8BL0x/lnA/sDLgV/3UddSqJLLakCEESWuX9jeu7sDJD0AvAv4A/BjqlGtucCPSl13lYca7A8cSzWtrKlRFts/krQxsAtVAtNdjEvL9pXk7zgiIiLibzKCs+bNBHYs63CQNLyP6Uw3ApNrC9AbpqjNobqhPk/SUb3UsSkwpyQ3+/P8EYBFVGtAam4ATqrFJGl9Sbs2cV7HlfKvpJqC9tMeyv0AmCTpBZJeALwX+GHZ96O6el5BNR2s5rdU65CQtGNpo973gBOBmyTt1MO59WYm8EpJb6ltkDShbuH/LVTrjG6xvYwquZlUttfiXWT7GuCjwG6Suv17kzRM0qvr3u9Otcbm0SZjjYiIiIgi3/yuYbYXSDocuEjShlQPDujtUc+nUq2xmS1pBXAbcEpdfXPLOpwZkkZTjS40mgJcKmkK8IvyX81lwIWSTqdacP/1kkTdVkYO1gMupVoP05tlku6kekDAv9atv2l0GVWC9fPyfgbw5fL6I8DXJB0JPEyVDNVcAFwr6W0l/p/ToIyETAJuKHXcApxeRl9us31K4zF1xy6UdBgwVdI0YCRVwnEo1QjTLcD/5e/T5m6hmq72s/J+H+C08hmtB3ywNq2wG8OAy8p6rBXAc4D6mKoYEe1ozFhGTrlgUFWMGLvlEAUTEdGZhnV1NTMbKKJ55clkG9nuc91JrBFd7bKwcDDaaQFlu0tft1b6u3XS162V/m6ddurr8pCBfi3pyBS1iIiIiIjoGJmiFgNSHrl8eDe7DrCdH6jshqTjqX6bqNEk2/e3Op6IiIiITpQEJwbE9qeoHo8cTbJ9OeWx1xERERGxemSKWkREREREdIwkOBERERER0TGS4ERERERERMdIghMRERERER0jDxmIiIhYzYYvnA8Lnh6Sup5dtgTWHz0kdUVEdKIkOBEREavbgqdZfv6ZQ1LVyLOnwdbbDkldERGdKAlOC0maAxxie7aky4GrbN/RS/lzgBfaPn0Qbe4DXGh794HWMVR6O59mzrW+/1ZTfJNK/UesjvqbaH888AVg87LpNNs3r4lYIiIiItpVEpw1xPbxazqGGHqS1gO6bHf187gNgW8D77Y9S9IIYJPVEWNEREREJ0uCs5pImghMBTYqmyY37L+VamTlRkmbABcDE4BVwB22T24ovwvwDeBk27dJOhg4CxgFLAdOtT2rlD0XeCfwBPCzJmI9rZQfASwFTrR9f9nXVdp5B/AiYLLt6aX9z9RVsyNwJPBT4JvAxiW279o+o67cVpJuArYFfgscaXtJXzE+P1x9GXgJVf9dUjZeCLwZGAnMB95n+zFJ2wD3AF8GDgI2AI4GPgjsATwHvN32k6X+TSRNB7YH/gQca/uJxhGm+vfl9fbAC4HtgL0l7QxcCnQBPwb+BfjnXkaf3g38pPYZ2l5R2q+NLL0b+DPwWqrP9cNU19crgbuBY/qTVI0bN67Zom1tXTnPtUH6uncL5z7K8iGsL/3dOunr1kp/t04n93USnNVA0hjgO8DhtmdKGk51w9+TacBiYFfbqyRtXr9T0r6lzFG2H5K0HfAJ4EDbiyTtBNwMvEzSocBhwHiqm/frmwj5a7Y/V9raD/5/9u48ys6yTPf/N1QIYRYkNhYcB8DhIEKWEAaxGQQlKgREuVQGAYVWaKSZQbEBuz0CMgg2zaFlVBrUC9L6Q0CiMoTJYDAkh5hubEEaQsSTmECIkMohqd8f71PtpkhV7Zp2au+6Pmtl1bvf4RnuXVlr3/UMm6uAXWuuL7U9SdLugIGptu8E7izPHAscDUwr9x9ge5mktYFpkibbvqtc24kqkXux3H8YVfJRr/Vs71YSl7mSbrC9DLigJvk4BriQKmmDKjF70PaXJZ0O3A3sZftYSVcCJwBfLfd+AJho+wlJ5wKXA/VMWdsDeJ/tRZLWoUryPmP7AUkfB07s4/ltgf9Xkr924NfAabaXlOuTgPfani/pdqpkd0/gz8AsYB/gF3W0E4AFCxbUe2vTam9vHxX9HAkS6761dXQMaXmJd2Pkd7uxEu/GaaZYDyQRyzbRw2M3YJ7thwFsr6z5oLo6+wMX2V5V7l9Uc+3DVB+y97M9r5zbj2qk4H5Js4GbgLGS/grYG/ih7WW2VwLX1tHeHSXdL2kucClVclTrB+XnDKBd0viuC5L2A06lGgVZDrQBF0maQ/Uhfbtu5U2z/UIZbXik9KM/fgBg+2lgCbBlOf8RSTNKH07rVucy23eU41nA/K4RqtLGbWrufdD2E+X4GuCDdbbrzpr37V3AK13rq2z/iGr0pTdjqZKUzwPvA14CLqm5/pDt+eX4sdLOF8tIz5xufYiIiIgYtZLgDI8xQ1jWb6mShtpNAsYAd9meWPOv3fYf+1u3pHHArcBJtrejmsa1TrfblkOVqJXXY8uzO1CN9kyx3bX/6SnAJsAutrenGkEa372sYiX9H0V83fOS3ko1xe8zpQ+f61ZnR7dn6m3DGKopZgCv8tr/L+O73bush+fq9V/APbb/UBLdm4Gda653b/Ng4xgRERHRkpLgDI+HgW3LOhwktUnapJf7bwdOlzSm3F87Re1p4EPA+ZI+Vc79DJhcpqZRnplUDu+uXmr9MjXu6D7aOp7qw/Gz5fXxfXWu1LcFMJVqjcpvay69AfiD7eXlngPrKW+QNqJah/R8WeT/xUGUtbukd5Tjo6jWz0C1XmhHSWtJ2pBq1K0n/wGsX6b0IelAqrj0xsDOpWyoEs05A2h/RERExKiWv/oOA9uLJR0MXFp2x1pFNW2qJydTrbGZK+lVYDo1azbKuot9qNazrGf7ekmHA9dKWpdqYf1DwMyyacFuwGxgAdUH9C16aetSSecAMyU9Q7WWpx7HABOAKyTV9uPbwC2SHqNKmu6us7wBs/24pFuA3wDPUMVvjwEWNx34Wkke/wQcUc5PBVTq+B3V1Lae2tMh6VDgKkkvA/cAf6Rad9TTM89I+ibwS0mrgN8DfzPAPkTESLPpBMaddeGQFDV2wuZDUk5ERKsa09nZ35k0EdEXSRvafqkc7w18F3hb1zqrNayzWRYWDkYzLaBsdol1YyXejZNYN1bi3TjNFOuyyUC/lmBkBCdieHxC0slU00CXU60PGgnJTURERERLS4IzSqzme2u6fKVs+TwilC2eT1jNpaNqdj4b8WzfANzQ/bykR3n9/7sZtgezbigiIiIiikxRixh9MkUthlRi3ViJd+Mk1o2VeDdOM8V6IFPUsotaRERERES0jCQ4ERERERHRMpLgREREREREy0iCExERERERLSO7qEVERAyztiWLYPHCISnrpY6XYZ31hqSsiIhWlAQnIiJiuC1eyIoLzhySosadexlsudWQlBUR0YqS4DSQpKeB/W3PlXQN8F3bD/Ry/3nABrZPG0SdewEX295poGUMld76U09fa+M3TO07qpT/yeEov4+6JwLXUU0bXRt4CPiS7Y5GtyUiIiKimWUNzhpi+5jekptoTpLWktSvvdqLJ4BdbU8E3gu8EfjCkDYuIiIiYhTICM4wkbQbcBGwYTl1erfr91GNrNwuaWPgW8AkYBXwgO0Tut3/XuBm4ATb0yV9FDgbGA+sAE62PaPc+3Xg08BzwK/qaOup5f6xwHLgONuzy7XOUs/HqT50n257aqn/GzXFbAscAjwCfB/YqLTtDttn1Ny3haQ7ga2AJ4FDbL/cVxtf21xdDbyZKn5XlJMXA3sC44BFwOds/5ektwGPAlcDk4F1gcOALwK7AK8AB9p+vpS/saSpwDbAn4AjbD/XfYSp9nU53gbYANga2EPSdsCVQCdwL3AQ8LGeRp9sv1Lzcu3SzlWlrqOAQ4EXgO2p3tcvUf1+vQOYCRxuu+5v7S1fmtXyRks/R4LEundL5j/FiiEsL/FunMS6sRLvxmnlWCfBGQaSNgV+BBxs+2FJbVQf+HtyGbAM2MH2KkmbdStvn3LPp2zPk7Q18PfAfraXSnoP8FPgLZIOAKYAE6k+vP+4jiZ/z/Ylpa59gauAXWuuL7U9SdLugIGptu8E7izPHAscDUwr9x9ge5mktYFpkibbvqtc24kqkXux3H8YVfJRr/Vs71YSl7mSbrC9DLigJvk4BriQKmmDKjF70PaXJZ0O3A3sZftYSVcCJwBfLfd+AJho+wlJ5wKXA/VMWdsDeJ/tRZLWoUryPmP7AUkfB07sqwBJ7VQx3br8/E7N5UnAe23Pl3Q7VbK7J/BnYBawD/CLOtoJ0DTfXjwYzfQtzc0use5bW8fQzjZNvBsjv9uNlXg3TjPFeiCJWKaoDY/dgHm2HwawvdL2kl7u3x+4yPaqcv+immsfpvqQvZ/teeXcflQfgu+XNBu4CRgr6a+AvYEf2l5meyVwbR3t3VHS/ZLmApdSJUe1flB+zgDaJY3vuiBpP+BUqlGQ5UAbcJGkOcCvge26lTfN9gtltOGR0o/++AGA7aeBJcCW5fxHJM0ofTitW53LbN9RjmcB87tGqEobt6m590HbT5Tja4AP1tmuO2vet3cBr3RNQbT9I6rRl17ZXlCmqG1ONRJ1cM3lh2zPL8ePlXa+aPtVYE63PkRERESMWklwhsdA1mD05LdUSUPtJgFjgLtsT6z51277j/2tW9I44FbgJNvbUU3jWqfbbcuhStTK67Hl2R2oRnum2O7a//QUYBNgF9vbU40gje9eVrGS/o8ivu55SW+lmuL3mdKHz3Wrs6PbM/W2YQzVFDOAV3nt/5fx3e5d1sNz/Wb7z8APqUa3unRv82DjGBEREdGSkuAMj4eBbcs6HCS1Sdqkl/tvB07vWpzebYra08CHgPMlfaqc+xkwuUxNozwzqRzeXb3U+mVq3NF9tHU81YfjZ8vr4/vqXKlvC2Aq1RqV39ZcegPwB9vLyz0H1lPeIG1EtQ7peUlrUa2vGajdJb2jHB9FtX4GqvVCO5ZNBDakGnXryX8A65cpfUg6kCouPZK0VUk2u5LOA4HHB9yLiIiIiFEqf/UdBrYXSzoYuFTS+lSLxXvb6vlkqjU2cyW9CkynZs1GWXexD9V6lvVsXy/pcOBaSetSTWd6CJhZNi3YDZgNLKD6gL5FL21dKukcYKakZ6jW8tTjGGACcIWk2n58G7hF0mNUSdPddZY3YLYfl3QL8BvgGar47THA4qYDXyvJ45+AI8r5qYBKHb+jmtrWU3s6JB0KXCXpZeAe4I9U64568n7gTEmrqEbspgP/OMA+RMRIs+kExp114ZAUNXbC5kNSTkREqxrT2TngmTQR0QNJG9p+qRzvDXwXeFvXOqs1rLNZFhYORjMtoGx2iXVjJd6Nk1g3VuLdOM0U67LJQL+WYGQEJ2J4fELSyVTTQJdTrQ8aCclNREREREtLgjNKrOZ7a7p8pWz5PCKULZ5PWM2lo2p2PhvxbN8A3ND9vKRHef3/uxm2B7NuKCIiIiKKTFGLGH0yRS2GVGLdWIl34yTWjZV4N04zxXogU9Syi1pERERERLSMJDgREREREdEykuBERERERETLSIITEREREREtI7uoRUREDKO2JYtg8cIhK++ljpdhnfWGrLyIiFaTBCciImI4LV7IigvOHLLixp17GWy51ZCVFxHRajJFrYEkPS1pu3J8jaS/7uP+8yRdPMg69yrfvbLG9dafevpaG7/hIOkoSbcOV/l91L2FpHslvThS3q+IiIiIZpQRnDXE9jFrug0x9CStBXTa7u8XTC0DzgU2As4b6nZFREREjBZJcIaJpN2Ai4ANy6nTu12/D7jY9u2SNga+BUwCVgEP2D6h2/3vBW4GTrA9XdJHgbOB8cAK4GTbM8q9Xwc+DTwH/KqOtp5a7h8LLAeOsz27XOss9XwceCNwuu2ppf5v1BSzLXAI8AjwfaoP6uOBO2yfUXPfFpLuBLYCngQOsf1yX218bXN1NfBmqvhdUU5eDOwJjAMWAZ+z/V+S3gY8ClwNTAbWBQ4DvgjsArwCHGj7+VL+xpKmAtsAfwKOsP2cpPOADWyfVur779fleBtgA2BrYI8y0nQl0AncCxwEfMz23NV1yvaLwP2S9lpNh48CDgVeALanel+/RPX79Q5gJnB4f5Kq8qVZLW+09HMkSKx7tmT+U6wY4jIT78ZJrBsr8W6cVo51EpxhIGlT4EfAwbYfltRG9YG/J5dR/QV/B9urJG3Wrbx9yj2fsj1P0tbA3wP72V4q6T3AT4G3SDoAmAJMpPrw/uM6mvw925eUuvYFrgJ2rbm+1PYkSbsDBqbavhO4szxzLHA0MK3cf4DtZZLWBqZJmmz7rnJtJ6pE7sVy/2FUyUe91rO9W0lc5kq6wfYy4IKa5OMY4EKqpA2qxOxB21+WdDpwN7CX7WMlXQmcAHy13PsBYKLtJySdC1wOfLKOdu0BvM/2IknrUCV5n7H9gKSPAyf2o4+rMwl4r+35km6nSnb3BP4MzAL2AX5Rb2HN8u3Fg9FM39Lc7BLr3rV1dAx5mYl3Y+R3u7ES78ZpplgPJBHLGpzhsRswz/bDALZX2l7Sy/37AxfZXlXuX1Rz7cNUH7L3sz2vnNuPaqTgfkmzgZuAsZL+Ctgb+KHtZbZXAtfW0d4dJd0vaS5wKVVyVOsH5ecMoF3S+K4LkvYDTqUaBVkOtAEXSZoD/BrYrlt502y/UEYbHin96I8fANh+GlgCbFnOf0TSjNKH07rVucz2HeV4FjC/a4SqtHGbmnsftP1EOb4G+GCd7bqz5n17F/CK7QdKW39ENfoyGA/Znl+OHyvtfNH2q8AcXtuHiIiIiFErCc7wGDOEZf2WKmnYqVv5d9meWPOv3fYf+1u3pHHArcBJtrejmsa1TrfblkOVqJXXY8uzO1CN9kyx3bUH6inAJsAutrenGkEa372sYiX9H0V83fOS3ko1xe8zpQ+f61ZnR7dn6m3DGKopZgCv8tr/L+O73bush+eGSvc2DzaOERERES0pCc7weBjYtqzDQVKbpE16uf924HRJY8r9tVPUngY+BJwv6VPl3M+AyWVqGuWZSeXw7uql1i9T447uo63jqT4cP1teH99X50p9WwBTqdao/Lbm0huAP9heXu45sJ7yBmkjqnVIz5dF/l8cRFm7S3pHOT6Kav0MVOuFdpS0lqQNqUbdevIfwPplSh+SDqSKS0REREQMs/zVdxjYXizpYOBSSetTbRxwWi+PnEy1xmaupFeB6dSs2SjrLvahWs+ynu3rJR0OXCtpXaqF9Q8BM8umBbsBs4EFVB/Qt+ilrUslnQPMlPQM1VqeehwDTACukFTbj28Dt0h6jCppurvO8gbM9uOSbgF+AzxDFb89BljcdOBrJXn8E3BEOT8VUKnjd1RT23pqT4ekQ4GrJL0M3AP8kWrd0WqVZPS/qEbPNpY0H7jG9nkD7EdEjBSbTmDcWRcOWXFjJ2w+ZGVFRLSiMZ2dQz2TJiIkbWj7pXK8N/Bd4G1d66zWsM5mWVg4GM20gLLZJdaNlXg3TmLdWIl34zRTrMsmA/1agpERnIjh8QlJJ1NNA11OtT5oJCQ3ERERES0tCc4osZrvrenylbLl84hQtng+YTWXjqrZ+WzEs30DcEP385Ie5fX/72bYHsy6oYiIiIgoMkUtYvTJFLUYUol1YyXejZNYN1bi3TjNFOuBTFHLLmoREREREdEykuBERERERETLSIITEREREREtIwlORERERES0jOyiFhERMUzaliyCxQuHtMyXOl6GddYb0jIjIlpJEpyIiIjhsnghKy44c0iLHHfuZbDlVkNaZkREK0mCEzEEJJ0HfMP2igE+vw7w/wE7AdjebOhaFxERETF6ZA1ORB0ktfVxy7nAuEFUsRK4GNh3EGVEREREjHr5os9oKpImA+cDbcBC4AvAlsDlwCxgB+BV4Cjb88ozRwLHU41YvggcZ/sJSUcBhwJLgO2AF4BP2H6+XPt0qWNb4PPAPuXcWGB5KWe2pH8u5T8OrAL2Kj8vBbYHxgP3AqfYXtlH/94GPFo7giNpr9K/XwG7Av8POIIqqdoOeBY42Paf6wxj/tNHNMiSXz3Isq+dNKRlbnDuZWyy8weGtMyIiBGuX1/0mSlq0TQkvQm4EdjT9jxJnwduAs6kSiROtD29JDTfA3aS9NeAgD1sd0j6CHAdsHspdhKwve1nJV0NfAk4u1z7ALCD7SdL/c/ZvqQc7wtcBexq+28lHQ+83/aycv0aYLrtYyStVdr5OeDqAXZ/W+BI28eWhGpaqXu+pDuBzwDX1FtYs3x78WA007c0N7vEumdtHR3DUm7i3Rj53W6sxLtxminW7e3t/X4mCU40k12AOV0jM8D1wJXAhsDvbE8v528EviNpI+AAqlGdRyRB9ReATWrKfMj2s+V4BvChmmsPdiU3xY6SvgJsSjVC885e2joF2FnSqeX1esD8unv6ek/Ynl2OZwFvtd1V3q+BbQZRdkRERETLSIITzWQM/Z9eNQa4zvY5PVxfXnO8ktf+n1jWdSBpHHAr1UjQLEntwHN91HuQ7af62d6edG9n99frDlE9EREREU0tmwxEM/klMFHSu8vrI4HHgJeAbcp0NKjW1TxueynwE+CzkraEarMASTsOoO7xVMlP12jP8d2uvwRsXPP6NuCsrs0JJG0m6e0DqDciIiIi+iEjONE0bC+UdARws6SxVBsAHE61ycBs4DOSLqMa0fhseeZ+SWcDt5VkYxxwC9W0rv7UvVTSOcBMSc8AP+12yyXAPZJeodpk4CTgm8AcSZ1ARzn3+57qkDSz9GUTSfOBu2wf0592RsQIs+kExp114ZAWOXbC5kNaXkREq8kuatH0yi5jF9veaU23pUl0NsvCwsFopgWUzS6xbqzEu3ES68ZKvBunmWJdNhno1y5qmaIWEREREREtI1PUounZvg9oitEbSbcBb+l2+hnbU9ZEeyIiIiJaTRKciAZKIhMRERExvDJFLSIiIiIiWkYSnIiIiIiIaBlJcCIiIiIiomUkwYmIiIiIiJaRTQYiIiKGQduSRbB44ZCX+1LHy7DOekNebkREq0iCExERMRwWL2TFBWcOebHjzr0MttxqyMuNiGgVmaIWa4ykTkkb9HL9KEm3NrJNgyXpPkn7r+l2RERERIxWSXAiIiIiIqJlZIpaDCtJncDZwMeBNwKn257ajyI2ljQV2Ab4E3CE7ecktQEXApPLfXcBZ9peKek+4GLbt5c2/PfrcjwT2A1oB2z7rHLfFsC3gXeUMr9v+3xJGwGXAtsD44F7gVNKXdsC1wNrA/PK9d7i8S7gBmA9oA24wfbFkm4AHrV9Rbnvv1+X447Srq2BfwN+AnwN+B/At2xf3o+Y0t7e3p/bm9Zo6edIkFi/3pL5T7Fi0T0GbQAAIABJREFUmMpOvBsnsW6sxLtxWjnWSXCiEZbaniRpd8BAfxKcDwATbT8h6VzgcuCTwN8AE4H3lft+Ws797zrKfAuwB7Ah8KSka23/J/CvwJ22PwEgabNy/6XAdNvHSFoLuAn4HHA1cCPwbdvflbQr8FAfdR9f6vjHUscmdbQX4D3APlRJ0dPAxsCewJuBJ0ofltVZFgsWLKj31qbV3t4+Kvo5EiTWq9fW0TFsZSfejZHf7cZKvBunmWI9kEQsU9SiEX5Qfs4A2iX1OsrRzYO2nyjH1wAfLMf7Uo1+rLC9gmoUZd86y7zF9irbLwL/Dmxd1gK9H/hW1022F5XDKcDpkmYDs4AdgXeWkZ3tqJIcbM8AHu+j7vuBz0n6R0kfBF6os80/tt1h+2XgCaokaZXt54AlwJZ1lhMRERHR0jKCE42wHKBM6YKB/96NATpXc9yl6/WrvDZ5755QLa85XllHe8YAB9l+qvZkSXC6t6FXtqdK+iXwYeAsqpGgwwfQ5v72ISIiImJUyAhOjHS7S+paE3MU1foXgJ8DR0laW9LawJHAL8q1J4FJAGWNzMS+KinTux4GTu46VzNF7TbgrLLuB0mbSXq77aXAXODQcn5n4L291SNpG+B52zdQraHZeTVtfjOwd19tjoiIiIjXy199Y6SbDnxN0nsomwyU89+h2njgsfJ6GtWaGKg2H7hF0keA/1NzT18OB/5Z0pFUoyI3l7JOAr4JzCmbJnSUc78HPgtcL+kU4NdU0/B6I+AwSSuoRn/+rqY/t0qaA/wWeKTONkfESLXpBMaddeGQFzt2wuZDXmZERCsZ09nZrxk2EdH8OptlYeFgNNMCymaXWDdW4t04iXVjJd6N00yxLpsMjOnPM5miFhERERERLSNT1GKNk/Qor/9dnGH7i2uiPUNB0m1U21HXesb2lDXRnoiIiIjRIglOrHG2d1rTbRhqSWQiIiIi1oxMUYuIiIiIiJaRBCciIiIiIlpGEpyIiIiIiGgZSXAiIiIiIqJlZJOBiIiIYdC2ZBEsXjjk5b7U8TKss96QlxsR0SqS4ERERAyHxQtZccGZQ17suHMvgy23GvJyIyJaRRKcJifpPOAbtlcM8Pm9gIuHaqtmSQcBC2z/aijKqyn3PGAD26f1cs99VH25fSjr7k8bBlH2TcDewJuBDW0vG+o6IiIiIkaDrMEZ4SS19XHLucC4RrSlTgcBO6/pRjSha4GJa7oREREREc0uIzh1kjQZOB9oAxYCXwC2BC4HZgE7AK8CR9meV545EjieKs4vAsfZfkLSUcChwBJgO+AF4BO2ny/XPl3q2Bb4vKR9yrmxwPJSzmxJ/1ya97CkVcBewCrgUmB7YDxwL3CK7ZW9dG9tSdf3sw/vB66gSpLXBr4OLAamAPtKOqa042fA94GNSnvusH1GKfs84F3AxsBWwJPAIbZflrQx1Yf+bYFnSjz+WJ47sNS3srTrBNv3dXu/Pg2cCnwcOIaakZfakZhBtGEc8L+APakSzMdLbJZJuqG8T+8E/gfwS+BI2509vQG27ynlvua8pLcBjwJXA5OBdYHDgC8CuwCvAAfafr6nslenvb29P7c3rdHSz5EgsX69JfOfYkBD63VIvBsnsW6sxLtxWjnWSXDqIOlNwI3AnrbnSfo8cBNwJlUicaLt6SUZ+B6wk6S/BgTsYbtD0keA64DdS7GTgO1tPyvpauBLwNnl2geAHWw/Wep/zvYl5Xhf4CpgV9t/K+l44P1dU5okXQNMt32MpLVKOz9H9QG5JwPpw5nAt2zfKGkMsLHtFyTdBjxq+4rSnvHAAeWD/9rANEmTbd9V6t6pxOJFYBrVh/ergXOApba3lbQZVRLp8sw/AMfbfqCMcK3f7f06A/gwsK/tF7snDasxkDacAbxoe+dS54XAl/nLe7gdsC9VwvlYOf55Xw3pwRuBB21/WdLpwN3AXraPlXQlcALw1f4UuGDBggE2pXm0t7ePin6OBIn16rV1dAxb2Yl3Y+R3u7ES78ZpplgPJBFLglOfXYA5XaMawPXAlcCGwO9sTy/nbwS+I2kj4ACqEZFHygfsMcAmNWU+ZPvZcjwD+FDNtQe7kptiR0lfATal+sD8zl7aOgXYWdKp5fV6wPw++jeQPtwLfFnSW4Gf236kh7LbgIvKiM8YYHOqqVhdCc402y8ASHoE2Lqc35sq6cP2Ikn/VlPmPcAlkm4Bfmp7bs2186hGWz7aj3VJA2nDFGAjSZ8sr9cB5tRc/7Ht5aXMWaXMgSY4y2zfUY5nAfNtzy6vf81rf3ciIiIiRrUkOPUZA/Q4vaiXZ66zfU4P15fXHHdNtery3wvMy1SoW6lGUWZJagee66Peg2w/1c/29lTWavtg+zJJP6EamfgnST+zvbpRhFOokqJdbC+X9B2qqWpdusdh3Zq6V8v2yZLeC3wQuEXSpba7Rqi6ksW3Av9Zzr3Ka9eb1dY/oDaUa8d3TS1bjd7e3/6q/TPwyiEuOyIiIqKlZJOB+vwSmCjp3eX1kVTTjl4CtilTuaBaV/O47aXAT4DPStoSqs0CJO04gLrHU32A7RrtOb7b9Zeo1o90uQ04q2tzAkmbSXp7H3X0uw+S3mn7Sdv/QrUOqWtjgaXd2vMG4A8ludkCOLCuXlfTsI4udb2Rai0N5fW7bD9u+3LgX6mml3W5CzgOuFPSe8q5J6lGwdaStCGw/2DbQBXnUyStW65vKOl/1lluRERERAyT/OW3DrYXSjoCuFnSWKrF5odTbTIwG/iMpMuo/pr+2fLM/ZLOBm4rycY44BaqKUX9qXuppHOAmZKeAX7a7ZZLgHskvUK1ycBJwDeBOZI6qf76fxLw+16qGUgfTpS0N7Ci1PGlUtaNwA2SDqHaZODbVKMsj1ElaXfX2fV/BK6TNA94mmqzgi4XSHoH1cjMC8Dnax+0fU/ZrOG20o6pVGuJfgP8jvrfg17bQDUdbmbZ4KET+Brw73WW/Rpl+ltXkviEpLm29xtIWRExQmw6gXFnXTjkxY6dsPmQlxkR0UrGdHb2d+ZVdNEQf4dMRIN0NsvCwsFopgWUzS6xbqzEu3ES68ZKvBunmWJdNhnobdnA62SKWkREREREtIxMURuE8t0rTTF6U7Zvfku308/YnrIm2jMaSboK2LXb6VczAhgRERExdJLgjBJJZNY8219c022IiIiIaHWZohYRERERES0jCU5ERERERLSMJDgREREREdEykuBERERERETLyCYDERERQ6xtySJYvHBYyn6p42VYZ71hKTsiohUkwYmIiBhqixey4oIzh6XocedeBltuNSxlR0S0giQ48RqSzgO+YXvFmm5Ld5KeBva3PbeP+zqBDW0v63b+IGCB7V8NXysHRtJNwN7Am1lN2yMiIiKiPlmDM8pIauvjlnOBcSOkLUPtIGDnBtdZr2uBiWu6ERERERHNbkxnZ+eabsOoJGkycD7QBiwEvgBsCVwOzAJ2AF4FjrI9rzxzJHA81cjbi8Bxtp+QdBRwKLAE2A54AfiE7efLtU+XOrYFPg/sU86NBZaXcmZL+udS/uPAKmCv8vNSYHtgPHAvcIrtlT30a6+e+lCuXQY8AEwCvg7MBK4CtgbGABfZ/l4p66+BK4FXgBnAgcDHbM/tPkpT+7rrGHgZuATYHLgB+H45t6j06ZnSnkeA3YBO4NO2/72PeP8SONH2TElXAnvafo+kscDzwFtL36+g+iPC2sDXbX9/dTHrFr/u/Xob8ChwNTAZWBc4DPgisEuJzYG2n++r7Br5Tx8xzJb86kGWfe2kYSl7g3MvY5OdPzAsZUdEjFBj+nNzpqitAZLeBNxI9cF4nqTPAzcBZ1IlEifanl4+YH8P2Kl82Bewh+0OSR8BrgN2L8VOAra3/aykq4EvAWeXax8AdrD9ZKn/OduXlON9qRKMXW3/raTjgffXfMC+Bphu+xhJa5V2fo7qA3dPVtuHcu29VInCl0r5PwTm2v64pDcDsyTNAv4T+AFwmO37JKn0qV7jqZKap4FDbXdKug141PYVpe69gPcAR9v+gqSzga8Ch/UR77upksSZJbavlLa/Dfh323+WdCbwLds3ShoDbNyPtnf3RuBB21+WdHqpfy/bx5YE64TS7rotWLBgEM1pDu3t7aOinyNBYv16bR0dw1p+4t0Y+d1urMS7cZop1u3t7f1+JgnOmrELMKdrZAa4nmqkYkPgd7anl/M3At+RtBFwANWowCPVZ33GAJvUlPmQ7WfL8QzgQzXXHuxKboodJX0F2JRqhOadvbR1CrCzpFPL6/WA+X30r6c+APyn7V/W3LsvcCqA7T9IuoNqLcpawMu27yvXLOk7fdRb6y7gB7Yv7uO+J2w/Vo5nUMUZeo/3PcBXyrqZPwHTqRKet1MlH1CNdH1Z0luBn9t+pB9t726Z7TvK8Sxgvu3Z5fWvee17HRERETGqJcFZM8bQ/2lCY4DrbJ/Tw/XlNccree17+98L1iWNA26lGpmYJakdeK6Peg+y/VQ/29uT1S2e7x6LTvoeilxJWUMmafxqrt8LTJb0v23/uZdyeopbb/F+CHgf8DGqhGY61ajW24FzAGxfJuknVAncP0n6me1+jbLUqP1T8Mpe2hwREREx6mWTgTXjl8BESe8ur48EHgNeArYp06OgWlfzuO2lwE+Az0raEqoF+pJ2HEDd46k+EHeN9hzf7fpLvHY61W3AWV0bAkjaTNLb+6ijpz6szi+Avyllbw58lCo5+Q9gXUl7lGuf7NauJ6mm5XXV0d3XgJ8Dd9WMHi2l/qliPcbbdgfVSMpZpf0zqKaubV+OkfRO20/a/heqNUkjdXODiIiIiJaSv/yuAbYXSjoCuLksTF8IHE61ycBs4DOSLqP66/xnyzP3lzUit5VkYxxwC9UUpf7UvVTSOcBMSc8AP+12yyXAPZJeodpk4CTgm8CcsgC+o5z7fS/VrLYPPTgR+BdJ/4dq1OQs278BkPQZ4MrSlnuoNgXocnJ57g/A7T309cLy7C/Kpg43AjdIOoS/bDKwWnXE+26qBOtR269K+h3w+5rttU+UtDewgipmva4fkvRv/CUJekLSXNv79fZMRIxgm05g3FkXDkvRYydsPizlRkS0iuyiNoKURe8X296pr3tHqlbowyjQ2SwLCwejmRZQNrvEurES78ZJrBsr8W6cZop12WSgX7uoZYpaRERERES0jExRG0HKjmFNMfJRtlx+S7fTz9ieQpP0odEkXQXs2u30qxntioiIiBg6SXBiQEoiE/1g+4trug0RERERrS5T1CIiIiIiomUkwYmIiIiIiJaRBCciIiIiIlpGEpyIiIiIiGgZ2WQgIiJiCLUtWQSLFw5b+S91vAzrrDds5UdENLskOBEREUNp8UJWXHDmsBU/7tzLYMuthq38iIhmlylqEb2Q1ClpgzXdjoiIiIioTxKciBFGUkZWIyIiIgYoH6Qi+naapA8DbwS+YnsqgKTJwPlAG7AQ+ILt30naHPg+sBEwHrjD9hm9VSCpEzgD+BjwAPD3ks4APkn1//Q54Fjbz0vaGLgOeE85/xzwf22fVm+H2tvb6+58Mxst/RwJEuu/WDL/KVYMcx2Jd+Mk1o2VeDdOK8c6CU5E31bZfr+kdwEPS3qgnL8R2NP2PEmfB24CdgFeAA6wvUzS2sA0SZNt39VHPWvZ3gtA0uHANsCutldJOg64BDgMOAdYYvvdkjYFfg1M7U+HFixY0J/bm1J7e/uo6OdIkFi/VltHx7DXkXg3Rn63GyvxbpxmivVAErFMUYvo27UAtp8AZgG7UiUyc2zPK/dcD0yUtCHViM5FkuZQJR/bARPrqOe7NcdTgH2BWZJmA38LvK1c27vUh+3FwI8H3LOIiIiIFpMRnIj+GQN01vxcnVOATYBdbC+X9B2qqWp9Wdatnq/bvq6XNkRERERENxnBiejb0QCS3kE1EvMI8EuqEZt3l3uOBB6z/RLwBuAPJbnZAjhwAHXeBhwvaZNS9zqSdijX7i31Ua4PpPyIiIiIlpQRnIi+dUh6CNiMaiOB/wsg6Qjg5rLr2ULg8HL/t4FbJD0GPAvc3d8Kbd8oaTNguiSo/hhxJTAH+Afgekm/AZ4GHgJeHHj3ImJIbTqBcWddOGzFj52w+bCVHRHRCsZ0dmamS0QzKRsXtJURoo2AB4FTbP+iziI6m2Vh4WA00wLKZpdYN1bi3TiJdWMl3o3TTLEumwyM6c8zGcGJaD6bAD+V1Ea1tufmfiQ3ERERES0tCU5Eg0g6Bzh4NZc+3DXtrR7l3h2HrGERERERLSQJTkSD2P4HqvUzERERETFMsotaRERERES0jCQ4ERERERHRMpLgREREREREy0iCExERERERLSObDERERAyRtiWLYPHCYa3jpY6XYZ31hrWOiIhmlgQnIiJiqCxeyIoLzhzWKsadexlsudWw1hER0cyS4DQ5SecB37C9YoDP7wVcbHunIWrPQcAC278aivJqyj0P2MD2ab3ccx9VX24fyrr704YBlrsW8BDQ9SfZPwBftP30UNYTERERMRpkDc4IV76tvjfnAuMa0ZY6HQTsvKYb0UxsrwIm297B9g7AT4FL13CzIiIiIppSRnDqJGkycD7QBiwEvgBsCVwOzAJ2AF4FjrI9rzxzJHA8VZxfBI6z/YSko4BDgSXAdsALwCdsP1+ufbrUsS3weUn7lHNjgeWlnNmS/rk072FJq4C9gFVUH463B8YD9wKn2F7ZS/fWlnR9P/vwfuAKqiR5beDrwGJgCrCvpGNKO34GfB/YqLTnDttnlLLPA94FbAxsBTwJHGL7ZUkbA9eWGDxT4vHH8tyBpb6VpV0n2L6v2/v1aeBU4OPAMdSMvNSOxAyiDeOA/wXsSZVgPl5is0zSDeV9eifwP4BfAkfa7uzpDbD9Ys3LjajeRyS9DXgUuBqYDKwLHAZ8EdgFeAU40PbzPZW9Ou3t7f25vWmNln6OBIl1Zcn8pxjQcHo/Jd6Nk1g3VuLdOK0c6yQ4dZD0JuBGYE/b8yR9HrgJOJMqkTjR9vSSDHwP2EnSXwMC9rDdIekjwHXA7qXYScD2tp+VdDXwJeDscu0DwA62nyz1P2f7knK8L3AVsKvtv5V0PPB+28vK9WuA6baPKVOfbgI+R/UBuScD6cOZwLds3yhpDLCx7Rck3QY8avuK0p7xwAHlg//awDRJk23fVereqcTiRWAa1Yf3q4FzgKW2t5W0GVUS6fLMPwDH236gjHCt3+39OgP4MLCv7Rcl9dL1AbfhDOBF2zuXOi8Evsxf3sPtgH2pEpXHyvHPe2uEpDuB9wGLSvu7vBF40PaXJZ0O3A3sZftYSVcCJwBf7auTtRYsWNCf25tSe3v7qOjnSJBY/0VbR0dD6km8GyO/242VeDdOM8V6IIlYEpz67ALM6RrVAK4HrgQ2BH5ne3o5fyPwHUkbAQdQjYg8Uj5gjwE2qSnzIdvPluMZwIdqrj3YldwUO0r6CrAp1Qfmd/bS1inAzpJOLa/XA+b30b+B9OFe4MuS3gr83PYjPZTdBlxURnzGAJsDE4GuBGea7RcAJD0CbF3O702V9GF7kaR/qynzHuASSbcAP7U9t+baeVSjLR/tx7qkgbRhCrCRpE+W1+sAc2qu/9j28lLmrFJmrwmO7Y+WpPTLVAnL8eXSMtt3lONZwHzbs8vrX/Pa352IiIiIUS0JTn3GAD1OL+rlmetsn9PD9eU1x11Trbos6zooU6FupRpFmSWpHXiuj3oPsv1UP9vbU1mr7YPtyyT9hGpk4p8k/cz26kYRTqFKinaxvVzSd6imqnXpHod1a+peLdsnS3ov8EHgFkmX2u4aoepKFt8K/Gc59yqvXW9WW/+A2lCuHW/7nh6u9/b+9sj2KknXUrW9K8Gp/ZPwyoGWHRERETEaZJOB+vwSmCjp3eX1kVTTjl4CtilTuaBaV/O47aXAT4DPStoSqs0CJO04gLrHU32A7RrtOb7b9Zeo1o90uQ04q2tzAkmbSXp7H3X0uw+S3mn7Sdv/QrUOqWtjgaXd2vMG4A8ludkCOLCuXlfTsI4udb2Rai0N5fW7bD9u+3LgX6mml3W5CzgOuFPSe8q5J6lGwdaStCGw/2DbQBXnUyStW65vKOl/1lnua0iaUMrvcgjVmp6IiIiI6Kf85bcOthdKOgK4WdJYqsXmh1NtMjAb+Iyky6j+mv7Z8sz9ks4GbivJxjjgFqopRf2pe6mkc4CZkp6h2mGr1iXAPZJeodpk4CTgm8AcSZ1Uf/0/Cfh9L9UMpA8nStobWFHq+FIp60bgBkmHUG0y8G2qUZbHqJK0u+vs+j8C10maBzxNtVlBlwskvYNqZOYF4PO1D9q+p2zWcFtpx1SqtUS/AX5H/e9Br22gmg43s2zw0Al8Dfj3OsuutTlVzNamGhn6PdXvV0Q0m00nMO6sC4e1irETNh/W8iMimt2Yzs7+zryKLhri75CJaJDOZllYOBjNtICy2SXWjZV4N05i3ViJd+M0U6zLJgO9LRt4nUxRi4iIiIiIlpEpaoNQvnulKUZvyvbNb+l2+hnbU9ZEe0YjSVcBu3Y7/WpGACMiIiKGThKcUSKJzJpn+4trug0RERERrS5T1CIiIiIiomUkwYmIiIiIiJaRBCciIiIiIlpGEpyIiIiIiGgZ2WQgIiJikNqWLILFCxtS10sdL8M66zWkroiIZpQEJyIiYrAWL2TFBWc2pKpx514GW27VkLoiIppREpwYUpKeBva3PVfSNcB3bT/Qy/3nARvYPm0Qde4FXDwSvk+mt/7U01dJpwHHAu8Apti+fZiaGhEREdGSkuDEsLF9zJpuQxOaDvwYuGZNNyQiIiKiGSXBiQGTtBtwEbBhOXV6t+v3UY2s3C5pY+BbwCRgFfCA7RO63f9e4GbgBNvTJX0UOBsYD6wATrY9o9z7deDTwHPAr+po66nl/rHAcuA427PLtc5Sz8eBNwKn255a6v9GTTHbAocAjwDfBzYqbbvD9hk1920h6U5gK+BJ4BDbL/fVRgDbM0uburd/P+BE2x+T9Cbgj4Bs3yLpDOANtr9STx0A7e3t9d7a1EZLP0eC0R7rJfOfYkUD6xvt8W6kxLqxEu/GaeVYJ8GJAZG0KfAj4GDbD0tqo/rA35PLgGXADrZXSdqsW3n7lHs+ZXuepK2Bvwf2s71U0nuAnwJvkXQAMAWYCLxCNeLRl+/ZvqTUtS9wFbBrzfWltidJ2h0wMNX2ncCd5ZljgaOBaeX+A2wvk7Q2ME3SZNt3lWs7USVyL5b7DwOurqONvXkAuLnUtw/wy/LzlvLzm/0pbMGCBYNszsjX3t4+Kvo5EiTW0NbR0dD6Rnu8GyW/242VeDdOM8V6IIlYtomOgdoNmGf7YQDbK20v6eX+/YGLbK8q9y+qufZh4HKqZGZeObcfsDVwv6TZwE3AWEl/BewN/ND2MtsrgWvraO+Oku6XNBe4lCo5qvWD8nMG0C5pfNeFMnpyKnCg7eVAG3CRpDnAr4HtupU3zfYLtjupRnu2rqN9vSojQL8BdgH2Bf4B2F3SOKqE6qHB1hERERHRCjKCEwM1ZgjL+i3wHqoP6rfVlH+X7c92v1lSv+ouScCtwB62Z0lqp5raVms5VIlamR42tjy7A9Voz362u/aAPQXYBNjF9nJJ36GaqvaasoqVwLr9aW8v7qYardkVOI5qmtqhwJySeEVERESMehnBiYF6GNi2rMNBUpukTXq5/3bg9K7kpNsUtaeBDwHnS/pUOfczYHKZmkZ5ZlI5vLt6qfXL1Lij+2jreKqE5dny+vi+Olfq2wKYChxh+7c1l94A/KEkN1sAB9ZT3hC4m6qvz9peUV6fV35GREREBBnBiQGyvVjSwcClktan2jigt62eT6ZaYzNX0qtUu4WdWFPe/LIOZ5qk9WxfL+lw4FpJ6wLjqKZhzSybFuwGzAYWAPcCW/TS1qWSzgFmSnqGai1PPY4BJgBX1Cz6Pxn4NnCLpMeokqYhSzAknQ78Xan3BknLgW1tL6Wa7rZZTX13U22CcM9Q1R8RA7TpBMaddWFDqho7YfOG1BMR0azGdHZ2ruk2RERjdTbLwsLBaKYFlM0usW6sxLtxEuvGSrwbp5liXTYZ6NfyhExRi4iIiIiIlpEpatEyVvO9NV2+UrZ8HhEkHQOcsJpLR3V9N09EREREDEwSnGgZtd9bM5LZvga4Zk23IyIiIqIVZYpaRERERES0jCQ4ERERERHRMpLgREREREREy0iCExERERERLSObDERERAxC25JFsHhhw+p7qeNlWGe9htUXEdFskuBEREQMxuKFrLjgzIZVN+7cy2DLrRpWX0REs0mCE0NC0tPA/rbnSroG+K7tB3q5/zxgA9unDaLOvYCLbe800DKGSm/9qaevkk4DjgXeAUyxffswNTUiIiKipSXBiSFn+5g13YYmNB34Mfl+nIiIiIhBSYIT/SZpN+AiYMNy6vRu1++jGlm5XdLGwLeAScAq4AHbJ3S7/73AzcAJtqdL+ihwNjAeWAGcbHtGuffrwKeB54Bf1dHWU8v9Y4HlwHG2Z5drnaWejwNvBE63PbXU/42aYrYFDgEeAb4PbFTadoftM2ru20LSncBWwJPAIbZf7quNALZnljatrg9PA/8K7ANsAZwFvAk4FNgUOLq30bLVaW9v78/tTWu09HMkGM2xXjL/KVY0uM7RHO9GS6wbK/FunFaOdRKc6BdJmwI/Ag62/bCkNqoP/D25DFgG7GB7laTNupW3T7nnU7bnSdoa+HtgP9tLJb0H+CnwFkkHAFOAicArVCMeffme7UtKXfsCVwG71lxfanuSpN0BA1Nt3wncWZ45FjgamFbuP8D2MklrA9MkTbZ9V7m2E1Ui92K5/zDg6jraWI91bO8maRJwH3CG7Z1VZUTnAx/oT2ELFiwYomaNXO3t7aOinyPBaI91W0dHw+sczfFupNH+u91oiXdFBcg9AAAgAElEQVTjNFOsB5KIZZvo6K/dgHm2HwawvdL2kl7u3x+4yPaqcv+immsfBi6nSmbmlXP7AVsD90uaDdwEjJX0V8DewA9tL7O9Eri2jvbuKOl+SXOBS6mSo1o/KD9nAO2SxnddkLQfcCpwoO3lQBtwkaQ5wK+B7bqVN832C7Y7qUZ7tq6jffX6Yfk5C1iv5vWvgW2GsJ6IiIiIppYEJ/przBCW9VuqpKF2k4AxwF22J9b8a7f9x/7WLWkccCtwku3tgMnAOt1uWw5VolZejy3P7kA12jPFdtf+r6cAmwC72N6eagRpfPeyipUM7Qhp93Z21TXU9UREREQ0tSQ40V8PA9uWdThIapO0SS/33w6cLmlMub92itrTwIeA8yV9qpz7GTC5TE2jPDOpHN5dvdT6ZWrc0X20dTzVh/9ny+vj++pcqW8LYCpwhO3f1lx6A/AH28vLPQfWU15ERERENE7+8hv9YnuxpIOBSyWtT7VxQG9bPZ9MtcZmrqRXqXYLO7GmvPllHc40SevZvl7S4cC1ktYFxgEPATPLpgW7AbOBBcC9VIvue2rrUknnADMlPUO1lqcexwATgCtqFv2fDHwbuEXSY1RJ0911ltcnSacDf1fqvUHScmBb20uHqo6IGCabTmDcWRc2rLqxEzZvWF0REc1oTGdn55puQ0Q0VmezLCwcjGZaQNnsEuvGSrwbJ7FurMS7cZop1mWTgX4tU8gUtYiIiIiIaBmZohZNbzXfW9PlK2XL5xFB0jHACau5dFTXd/NERERExOAkwYmmV/u9NSOZ7WuAa9Z0OyIiIiJaWaaoRUREREREy0iCExERERERLSMJTkREREREtIwkOBERERER0TKyyUBERMQAtS1ZBIsXNrTOlzr+f/buPUzOqk73/jckJoiAggSxJ7JnAAcEJFHD+WB8AcVRcES8BwinIOcRFAUSBwXUKDiCxBk2HoB4yIDMDbrdAVF4ByWiAgIhCG8gnGQ4RCQxMcBGOibp/cezWot+06nqpKnqqr4/19UXVfWsZ63f86NyXfWrtdZTL8KYDZo6ZkREO0mBExERsbaWLGL5BVObOuToc2fAuK2aOmZERDtJgRNtT9J5wIa2zxgCsdwCXGj7+oEcq2lzJfAu4I3ARrZfeIVCjYiIiOhI2YMTMbRcAUxodRARERER7SozODEgkg4AzgdGAouAE4FxwFeBucB4YAVwjO355ZyjgVOo3m/LgJNtL5B0DHA4sBTYEfgj8CHbz5TzzgIOKec9DRxv+xlJr6UqBLYHnihx/L5O3FcC2wJjgEeAY20vlTQJmAHcAewO9ACH2n5A0jnAwaWL0cBbgNcBE4HpwPolti/YvrpmuHdKmgZ0AbY9raHkVo1/WuLtG//5wBLbX1Z18GpgC9vPSroBmGH7pkbH6erqarRpWxsu1zkUDNdcL33qMZa3YNzhmu9WSK6bK/lunk7OdQqcaJikzYFZwDttz5f0EeBKYCqwE3Ca7TmloPkuMFHS3oCAfWx3S3ovMBPYs3S7M7CT7SclXQacCpwt6QhgG2A326sknQxcBEwGzgGes729pM2oCivXCf9jtheX65heYu4tPHYAptg+UdLZwKeBybY/B3yunDMLuNH2Mklzgb1sr5T0BuBuSTfaXlr62xLYB9gIeFTSFbYfHmC6+7oZOAP4MrAvcDvw/0j6PrAr8IuBdLZw4cJ1DGfo6+rqGhbXORQM51yP7O5uybjDNd/NNpzf262QfDdPO+V6bQqxFDgxELsC9/bOzADfAi6l+iD/iO055fVZwDclbQwcSDWrc0eZlRgBbFLT5y9tP1ke3w7sXx4fRDVTMrec1zv7A9UelVMBbC+W9IMGYj9K0mSqmZjXAA/VHFtg+56aGA6sPVHS54ENgaPLS2OBmZLeTDVbtSnV7NDt5fg1tlcByyQ9AGwNrGuB80vAkkZTFYdnUM1uPQ3cZ/vFdew/IiIioiOkwImBGEG1hGug58y0fU4/x1+qebySv74nRwDTbc/sp8+GlVmkk4E9bC+SdDhwQgMxIGkKVdH1rlK0AHwNmA0cbLtH0kNUy9Xq9re2bP9J0r3AYcDvgJ9RzWg9Bfx0XfuPiIiI6BS5yUAMxG3ABEnbledHA/cAzwPblEICqn0199l+DriOavZkHICkkZLe0cBYs4FTJG1SzhsjaXw5djMwpbz+euCDdfp6HdXszx8kjQGObWB8JO1HtYztINt/6tPf46W42Z9qKV0z3Ax8FrjZdjdVcXNMeT0iIiIiyAxODECZ/TgSuErSKKrN/UdQ3WRgHnCYpBlUsxZHlXN+Xva1zJY0kmqJ2DXA3XXGmlX218wpS9TWo1oOdy/weaolYvOBx4F6m+t/XOJ8kKoouAvYpYFLPptqadpNNZv+96Yqei4tNxL4TfkbFGW5XW9sCyTdb/s95fnNVNd+c83zPYFfD9b4ETFAm45l9LQvNXXIUWO3aOp4ERHtZkRPz0BXHEW8XLkT2YW2J7Y6lmhIT7tsLFwX7bSBst0l182VfDdPct1cyXfztFOuy00GBrQ9IUvUIiIiIiKiY2SJWqwz27dQ3fGspfr8bk2td9t+ttnx9EfS14Hd+ry8IjNgEREREesuBU50jNrfrRnKbJ/U6hgiIiIiOlWWqEVERERERMdIgRMRERERER0jBU5ERERERHSMFDgREREREdExcpOBiIiIARq5dDEsWdSSsZ/vfhHGbNCSsSMi2kEKnIiIiIFasojlF0xtydCjz50B47ZqydgREe0gBU7EIJB0HvBF28vX8vw3ArOBVwEjgQeBE2wvHbQgIyIiIoaB7MGJaICkkXWanAuMXochFgPvtD3B9luBp4DPrEN/EREREcPSiJ6enlbHENEwSQcA51PNciwCTgTGAV8F5gLjgRXAMbbnl3OOBk6hmrFcBpxse4GkY4DDgaXAjsAfgQ/ZfqYcO7SMsT3wEWDf8too4KXSzzxJ/7P0fx+wCphU/vsVYCdgfeBnwCdsr2zgGkcCXweW2T5D0qRyfb8GdgP+DBxJVVTtCDwJHGz7/zSYxvyjj1hHS3/9C1747MdbMvaG585gk132asnYEREtMmIgjbNELdqGpM2BWVQzHfMlfQS4EphKVUicZntOKWi+C0yUtDcgYB/b3ZLeC8wE9izd7gzsZPtJSZcBpwJnl2N7AeNtP1rGf9r2ReXxflRFyG62/1nSKcAetl8oxy8H5tg+TtJ6Jc5jgcvqXOM8YEvgN8BBNYe2B462fXwpqG4sYz8l6QbgMODyRnO5cOHCRpu2ra6urmFxnUPBcMz1yO7ulo4/3PLdKsPxvd1KyXfztFOuu7q6BnxOCpxoJ7sC9/bOzADfAi4FNgIesT2nvD4L+KakjYEDqWZ17pAE1TcAm9T0+UvbT5bHtwP71xz7RW9xU7xD0r8Am1LN0Pz9GmI9CNhF0ifL8w2olp2tke0Jkl4F/BtwEvCv5dAC2/PK47nA/7Dd29/dwDb1+o6IiIgYDlLgRDsZwcCXV40AZto+p5/jL9U8XsnL/0280PtA0mjgWqqZoLmSuoCn64z7j7YfG2C82P6zpO9Qzfb0Fjh94+z7/NUDHSciIiKiE+UmA9FObgMmSNquPD8auAd4HtimLEeDal/NfbafA64DjpI0Dqr9LZLesRZjr09V/PTO9pzS5/jzwGtrns8GpvXenEDSZpL+rr/OJb1J0obl8XrAh6j29ERERETEAGQGJ9qG7UWSjgSukjSK6gYAR1DdZGAecJikGVQzGkeVc34u6Wxgdik2RgPXUC3rGsjYz0k6B7hT0hPAj/s0uQj4qaQ/Ud1k4ONUsy/3SuoBustrv+1niG2BC0txs165ntMGEmNENNGmYxk97UstGXrU2C1aMm5ERLvIXdSi7ZW7jF1oe2KrY2kTPe2ysXBdtNMGynaXXDdX8t08yXVzJd/N0065LjcZGNBd1LJELSIiIiIiOkaWqEXbs30L0BazN5JmU90GutYTtg9aXfuIiIiIGJgUOBFNlEImIiIi4pWVJWoREREREdExUuBERERERETHSIETEREREREdIwVORERERER0jNxkICIiYgBGLl0MSxa1bPznu1+EMRu0bPyIiKEuBU5ERMRALFnE8gumtmz40efOgHFbtWz8iIihLgVOvIyk84Av2l7e6lj6kvQ48H7b99dp1wNsZPuFPq//I7DQ9q9fuSgHTtJ6wC+B3q9kfwecZPvxlgUVERER0aayB2eYkTSyTpNzgdFDJJbB9o/ALk0esy7bq4ADbI+3PR74MfCVFocVERER0ZYyg9Mikg4AzgdGAouAE4FxwFeBucB4YAVwjO355ZyjgVOo/r8tA062vUDSMcDhwFJgR+CPwIdsP1OOHVrG2B74iKR9y2ujgJdKP/Mk/c8S3q8krQImAauoPmzvBKwP/Az4hO2V/VzXpP6uoRybAdwK7AxMl3Qn8HVga2AE8GXb3y197Q1cCvwJuL0c7x3nZbM0q5u1KTMjFwFbAN8GDgL2k3RcuaYnSjx3ALsDPcChth+ok+/bgNNs3ynpUuCdtneQNAp4Bvgf5dovofoS4VXAdNvfW13OAGwvq3m6cck7kv4WuAu4DDgAeDUwGTgJ2LXk5gO2n+mv79Xp6uoaSPO2NVyucygYTrle+tRjtHqKezjlu9WS6+ZKvpunk3OdAqcFJG0OzKL6YDxf0keAK4GpVIXEabbnlA/Y3wUmlg/7Avax3S3pvcBMYM/S7c7ATraflHQZcCpwdjm2FzDe9qNl/KdtX1Qe70dVYOxm+58lnQLsUVM4XA7MsX1cKRiuBI6l+sDdn9VeQzn2VqpC4dTS/38C99v+oKQ3AnMlzQUeBq4GJtu+RZLKNTVqfaqi5nHgcNs9kmYDd9m+pIw9CdgBmGL7RElnA58GJtfJ983AvsCdJbd/KrH/LfCA7f8jaSpwse1ZkkYAr60XsKQbgLcDi4F31xx6PfAL25+SdGYZf5Lt40uB9dESd8MWLlw4kOZtqaura1hc51Aw3HI9sru71SEMq3y30nB7b7da8t087ZTrtSnEskStNXYF7u2dmQG+BUwANgIesT2nvD4LeKukjYEDqWYF7pA0D7gAeFNNn7+0/WR5fDvVjEivX/QWN8U7JP1c0v1UMxkT1hDrQcCZZcy5wDuAv69zff1dA8DDtm+rabsf8A0A278DfgS8C9gWeNH2LeWYqWZRGvUT4HbbZ9juWUO7BbbvKY9r87amfP+UaiboTcAfgOupCp79qIoPqGa6PiXp08Autv9YL2Db/wB0Ad/j5QXLC7Z/VB7PBZ6yPa88vxvYpl7fEREREcNFZnBaYwTVcqiBnjPT9jn9HH+p5vFKXv7/tnbZ1mjgWqqZibmSuoCn64z7j7YfG2C8/XlhNa/1zUUPNcvR+rGSUqBLWn81x38GHCDpa7b/zxr66S9va8r3L6lmWt5HVdDMoZrV+jvgHADbMyRdR1X0/Lukm2zXnWWxvUrSFVQzWKeUl2u/Ll65hpgjIiIihr3M4LTGbcAESduV50cD9wDPA9uU5VFQ7au5z/ZzwHXAUZLGQbVBX9I71mLs9ak+EPfO9pzS5/jzvHw51WxgWu8NASRtJunv6ozR3zWszn8BJ5S+twD+gao4eRB4taR9yrFD+sT1KNWyvN4x+vos8P8CP6mZPXqOBpaKFf3m23Y31UzKtBL/7VRL13Yqj5H097Yftf0Nqj1J/d7cQNJYSa+veenDwH0NxhkRERERNfLNbwvYXiTpSOCqsjF9EXAE1U0G5gGHSZpB9e38UeWcn5c9IrNLsTEauIZqidJAxn5O0jnAnZKeoLpjV62LgJ9K+hPVTQY+DvwrcG/ZyN9dXvvtGoZZ7TX04zTgG5J+QzVrMs32/wcg6TDg0hLLT6luCtDr9HLe76iWiK3uWr9Uzv2vclOHWcC3JX2Yv95kYLUayPfNVAXWXbZXSHoE+G3N7bVPk/QuYDlVzta0f2iLEterSg5+S/V+iIihaNOxjJ72pZYNP2rsFi0bOyKiHYzo6RnoSql4pZRN7xfanliv7VDVCdcwDPS0y8bCddFOGyjbXXLdXMl38yTXzZV8N0875brcZKDe1oWXyRK1iIiIiIjoGFmiNoSUO4a1xcxHueXyln1efsL2QbTJNTSbpK8Du/V5eUVmuyIiIiIGTwqcWCulkIkBsH1Sq2OIiIiI6HRZohYRERERER0jBU5ERERERHSMFDgREREREdExUuBERERERETHyE0GIiIiaoxcuhiWLGp1GP16vvtFGLNBq8OIiBiyUuBERETUWrKI5RdMbXUU/Rp97gwYt1Wrw4iIGLJS4MSgkPQ48H7b90u6HPiO7VvX0P48YEPbZ6zDmJOAC4fC78is6XoauVZJlwJ7AauAPwPTbN/8ykQbERER0blS4MSgs31cq2NoQ5+yvQxA0njgZkljbfe0OK6IiIiItpICJwZM0u7Al4GNyktn9jl+C9XMyvWSXgtcDOxMNTtxq+2P9mn/VuAq4KO250j6B+BsYH1gOXC67dtL2+nAocDTwK8biPWTpf0o4CXgZNvzyrGeMs4HgdcDZ9r+fhn/izXdbA98GLgD+B6wcYntR7bPqmn3N5JuALYCHgU+bPvFejEC9BY3xWuBvxQ2ZXbsP4B9gb8BpgGbA4cDmwJT1jRbtjpdXV0Dad62hst1DgWdlOulTz3G8lYHUUcn5XuoS66bK/lunk7OdQqcGBBJmwL/CzjY9q8kjaT6wN+fGcALwHjbqyRt1qe/fUubf7I9X9LWwGeA99h+TtIOwI+BLSUdCBwETAD+BPywgZC/a/uiMtZ+wNeB3WqOP2d7Z0l7Aga+b/sG4IZyzvHAFODG0v5A2y9IehVwo6QDbP+kHJtIVcgtK+0nA5c1EGNvLj5XztmEKr+1szdjbO8uaWfgFuAs27tIEnA+1fK2hi1cuHAgzdtSV1fXsLjOoaDTcj2yu7vVIdTVSfkeyjrtvT3UJd/N0065XptCLLeJjoHaHZhv+1cAtlfaXrqG9u8Hvmx7VWm/uObYu4GvUhUz88tr7wG2Bn4uaR5wJTBK0huAdwH/afsF2yuBKxqI9x2Sfi7pfuArVMVRravLf28HuiSt33tA0nuATwIfsP0SMBL4sqR7gbuBHfv0d6PtP5bC5I5yHQ2zfY7trYFDgH+VNLrm8H+W/84FNqh5fjewzUDGiYiIiOhkKXBioEYMYl8PURUNtTcJGAH8xPaEmr8u278f6NilQLgW+LjtHYEDgDF9mr0EVaFWno8q546nmu05yHbv/WI/QTW7sqvtnahmkNbv21exkrWcIbX9U6pZsbeuIc7esdZ6nIiIiIhOlAInBupXwPZlHw6SRkraZA3trwfOlDSitK9dovY4sD9wvqR/Kq/dBBxQlqZRztm5PLy5eqrXlKVxU+rEuj7Vh/8ny/NT6l1cGe9vgO8DR9p+qObQ64Df2X6ptPlAI/01MN4ISdvVPJ9ItcfmscHoPyIiImI4yTe/MSC2l0g6GPiKpNdQ3ThgTbd6Pp1qj839klYAc4DTavp7quzDuVHSBra/JekI4ApJrwZGA78E7iw3LdgdmAcsBH5Gtem+v1ifk3QOcKekJ6j28jTiOGAscEm1xeUv1/FvwDWS7qEqmgbrNs4jgG+W/U0rqPYXqc7Sv4h4pWw6ltHTvtTqKPo1auwWrQ4hImJIG9HTk7vQRgwzPe2ysXBdtNMGynaXXDdX8t08yXVzJd/N0065LjcZGNA2hSxRi4iIiIiIjpElatH2VvO7Nb3+pdzyeUiQdBzw0dUcOqb3t3kiIiIiYt2kwIm2V/u7NUOZ7cuBy1sdR0REREQnyxK1iIiIiIjoGClwIiIiIiKiY6TAiYiIiIiIjpECJyIiIiIiOkZuMhAREVGMXLoYlixqdRhr9Hz3izBmg1aHERExZKXAiYiI6LVkEcsvmNrqKNZo9LkzYNxWrQ4jImLISoETbUvSecCGts8YArHcAlxo+/qBHKtpcyXwLuCNwEa2X3iFQo2IiIjoaNmDEzE0XAFMaHUQEREREe0uMzjREEkHAOcDI4FFwInAOOCrwFxgPLACOMb2/HLO0cApVO+zZcDJthdIOgY4HFgK7Aj8EfiQ7WfKeWcBh5TzngaOt/2MpNdSFQLbA0+UOH5fJ+4rgW2BMcAjwLG2l0qaBMwA7gB2B3qAQ20/IOkc4ODSxWjgLcDrgInAdGD9EtsXbF9dM9w7JU0DugDbntZQcqvGPy3x9o3/b4G7gMuAA4BXA5OBk4BdgT8BH+jNXaO6uroG0rxtDZfrHAo6JddLn3qM5a0OogGdku92kFw3V/LdPJ2c6xQ4UZekzYFZwDttz5f0EeBKYCqwE3Ca7TmloPkuMFHS3oCAfWx3S3ovMBPYs3S7M7CT7SclXQacCpwt6QhgG2A326sknQxcRPWh/hzgOdvbS9qMqrBynfA/ZntxuY7pJebewmMHYIrtEyWdDXwamGz7c8DnyjmzgBttL5M0F9jL9kpJbwDulnSj7aWlvy2BfYCNgEclXWH74QGme3VeD/zC9qcknQncDEyyfbykS4GPltgbtnDhwkEIa2jr6uoaFtc5FHRSrkd2d7c6hIZ0Sr6Huk56b7eD5Lt52inXa1OIpcCJRuwK3Ns7MwN8C7iU6oP8I7bnlNdnAd+UtDFwINWszh1lVmIEsElNn7+0/WR5fDuwf3l8ENVMydxyXu/sD1R7VE4FsL1Y0g8aiP0oSZOpZmJeAzxUc2yB7XtqYjiw9kRJnwc2BI4uL40FZkp6M9Vs1aZUs0O3l+PX2F4FLJP0ALA1MBgFzgu2f1QezwWesj2vPL+bv+YuIiIiYthLgRONGEG1hGug58y0fU4/x1+qebySv74XRwDTbc/sp8+GlVmkk4E9bC+SdDhwQgMxIGkKVeHwrlK0AHwNmA0cbLtH0kNUy9Xq9reOar9SXvkKjhMRERHR9nKTgWjEbcAESduV50cD9wDPA9uUQgKqfTX32X4OuI5q9mQcgKSRkt7RwFizgVMkbVLOGyNpfDl2MzClvP564IN1+nod1ezPHySNAY5tYHwk7Ue1jO0g23/q09/jpbjZn2opXUREREQMIfnmN+oqsx9HAldJGkW1uf8IqpsMzAMOkzSDajbhqHLOz8u+ltmSRlItEbuGaknVmsaaVfbXzClL1NajWg53L/B5qiVi84HHgZvqhP7jEueDwFNUm/V3aeCSz6ZamnZTzab/vamKnkvLjQR+U/4GRVlu1xvbAkn3237PYPUfEQ3adCyjp32p1VGs0aixW7Q6hIiIIW1ET89AVx5FVMqdyC60PbHVscSA9LTLxsJ10U4bKNtdct1cyXfzJNfNlXw3TzvlutxkYEDbFLJELSIiIiIiOkaWqMVas30L1R3PWqrP79bUerftZ5sdT38kfR3Yrc/LKzIDFhERETF4UuBE26v93ZqhzPZJrY4hIiIiotNliVpERERERHSMFDgREREREdExUuBERERERETHSIETEREREREdIzcZiIiIYW/k0sWwZFGrw2jI890vwpgNWh1GRMSQlQInIiJiySKWXzC11VE0ZPS5M2DcVq0OIyJiyEqBE4NC0uPA+23fL+ly4Du2b11D+/OADW2fsQ5jTgIuHAq/I7Om62nkWiWtB3wW+CfgJeBJ2+97ZaKNiIiI6FwpcGLQ2T6u1TG0oY8D2wI72P6zpDe0OqCIiIiIdpQCJwZM0u7Al4GNyktn9jl+C9XMyvWSXgtcDOwMrAJutf3RPu3fClwFfNT2HEn/AJwNrA8sB063fXtpOx04FHga+HUDsX6ytB9FNTNysu155VhPGeeDwOuBM21/v4z/xZputgc+DNwBfA/YuMT2I9tn1bT7G0k3AFsBjwIftv1ivRiLTwJ72/4zgO3f11zD48B/APsCfwNMAzYHDgc2BaasabZsdbq6ugbSvG0Nl+scCto910ufeozlrQ5iANo93+0kuW6u5Lt5OjnXKXBiQCRtCvwv4GDbv5I0kuoDf39mAC8A422vkrRZn/72LW3+yfZ8SVsDnwHeY/s5STsAPwa2lHQgcBAwAfgT8MMGQv6u7YvKWPsBXwd2qzn+nO2dJe0JGPi+7RuAG8o5xwNTgBtL+wNtvyDpVcCNkg6w/ZNybCJVIbestJ8MXFYvQEkbA5tVD/VBqkLwAtv/u6bZGNu7S9oZuAU4y/YukgScD+zVQC7+YuHChQNp3pa6urqGxXUOBZ2Q65Hd3a0OYUDaPd/tohPe2+0k+W6edsr12hRiuU10DNTuwHzbvwKwvdL20jW0fz/wZdurSvvFNcfeDXyVqpiZX157D7A18HNJ84ArgVFlyda7gP+0/YLtlcAVDcT7Dkk/l3Q/8BWq4qjW1eW/twNdktbvPSDpPVQzKx+w/RIwEviypHuBu4Ed+/R3o+0/2u6hmu3ZuoH4AF4FjAbWs70rcCTwjVLs9frP8t+5wAY1z+8GtmlwnIiIiIiOlwInBmrEIPb1EFXRUHuTgBHAT2xPqPnrKku2BjS2pNHAtcDHbe8IHACM6dPsJagKtfJ8VDl3PNVsz0G2e+8d+wlgE2BX2ztRzSCt37evYiUNzpDa/gPVLNd/lOePUBUyb1tDnL1jNTxORERExHCQAicG6lfA9mUfDpJGStpkDe2vB86UNKK0r12i9jiwP3C+pH8qr90EHFCWplHO2bk8vLl6qteUpXFT6sS6PtWH/yfL81PqXVwZ72+A7wNH2n6o5tDrgN/Zfqm0+UAj/TXoe1QFGJI2B8YD9w9i/xERERHDQr75jQGxvUTSwcBXJL2Gar/Imm71fDrVHpv7Ja0A5gCn1fT3VNmHc6OkDWx/S9IRwBWSXk21dOuXwJ3lpgW7A/OAhcDPqDbd9xfrc5LOAe6U9ATVXp5GHAeMBS6ptrj85Tr+DbhG0j1URdPNDfbXiH8BviXpNKAH+BfbDw5i/xGxJmzO+joAACAASURBVJuOZfS0L7U6ioaMGrtFq0OIiBjSRvT09LQ6hohorp522Vi4LtppA2W7S66bK/lunuS6uZLv5mmnXJebDAxom0KWqEVERERERMfIErVoe6v53Zpe/1Ju+TwkSDoO+OhqDh3T+9s8EREREbFuUuBE26v93ZqhzPblwOWtjiMiIiKik2WJWkREREREdIwUOBERERER0TFS4ERERERERMdIgRMRERERER0jNxmIiIhhbeTSxbBkUavDaNjz3S/CmA1aHUZExJCVAiciIoa3JYtYfsHUVkfRsNHnzoBxW7U6jIiIISsFTjSdpJOAV9u+eBD77AE2sv3CYPW5lnFMAi60PXEgx2ravJvqN33eCvy77TNeoVAjIiIiOlIKnFgjSaNsrxjMPm1/fTD76zCPAccDHwLWb3EsEREREW0nBU78/5TZkLOA9wG3Ap+RdBZwCNV75mngeNvPSBpNNeNwALASeMz2B0s//Z1zHrCh7TMkPQwcYvvecs6pwNttT5G0LTAD2AwYDcyw/a3S7uAy7hIa+JFPSfsC06mKhlHAF2xfXY7dAtwJ7A50AbY9TdLmwE013WwJfMf26ZKuBLYFxgCPAMfaXlrajZL0jdJfD3Co7QfqJr4a+JES0wf6xL8h8DjwBtsrJc0Hfmb7nyXtUnKzRyNjAHR1dTXatK0Nl+scCto510ufeozlrQ5igNo53+0muW6u5Lt5OjnXKXCiP+vZngQg6QhgG2A326sknQxcBEwGPgVsRVWULJe0WQPn1PoucDTwifL8GOB0SaOAq4DJth+UtBFwl6TbqIqay4A9bC8ohVQ9c4G9SnHwBuBuSTfWFCVbAvsAGwGPSrrC9sPAhHI9bwO+D1xS2n/M9uJybDowFZhWju0ATLF9oqSzgU+v5roHxPYLkh4Edpb038CLwF7l8L7AzQPpb+HChesSTlvo6uoaFtc5FLR7rkd2d7c6hAFr53y3k3Z/b7eb5Lt52inXa1OIpcCJ/nyn5vFBwERgriSo3jfLyrH3A5+0vRyg90N/nXP6jnNHKVK2A15LNWv0lvJ3dTkfqtmSt1DNFM21vaC8/k3gS3WuZywwU9KbgRXAplQzMLeX49fYXgUsk/QAsDXwMICkNwHXUhVbj5b2R0maTDWz9BrgoZqxFti+pzy+HTiwTmyN+imwH/DfwHXAuySNK699fpDGiIiIiGhrKXCiP7Wb9UcA023PXE27Ef2cv6Zz/sL2E2W51XuBSVRLwHokjQAW257Q95y+y7ca9DVgNnBw6f8hXr7H5aWaxysp/zYkbQxcD0y1fVt5bW/gZKoZpEWSDgdOqNfXILgZOI+qwLkcWEW1jPBtwG2DNEZEREREW8sPfUYjZgOnSNoEQNIYSePLseuAj5e9OPQuUatzTl/fBo4DDuOvM0cLgBclHdnbSNJ2peC4DXhbmY2hnFvP64DHS3GzP9XyuTUqy+SuBWbZvrZPX8uAP0gaAxzbwPiD4TZgPLAHcAfwX1RLBO+23X5rbCIiIiJeAZnBibpszyqFy5yyXGw94FLgXuAC4HxgnqTlVBvuD6lzTl+9e1vutP1EGXOFpAOBGZLOBEYCvwdk+1lJJwDXSVoCuIHLmAZcKmka8JvyV8+eVPtbNi97igCuBC4GjgAeBJ4C7gJ2aaC/uiTtBVwNbAyMkHQo8BHbN5Y9TncCK2z/uTzehGrpWkSsrU3HMnpavVWuQ8eosVu0OoSIiCFtRE9PT6tjiIjm6mmXjYXrop02ULa75Lq5ku/mSa6bK/lunnbKdbnJQH9bIlYrS9QiIiIiIqJjZIladIzV/G5Nrx/Y/lyz4+mPpAlU+476usT25U0OJyIiIqKjpMCJjmH7Wcrv1gxltufRBnFGREREtKMsUYuIiIiIiI6RAiciIiIiIjpGCpyIiIiIiOgYKXAiIiIiIqJj5CYDERExLI1cuhiWLGp1GAP2fPeLMGaDVocRETFkpcCJiIjhackill8wtdVRDNjoc2fAuK1aHUZExJCVAieaRtJJwKttXzyIffYAG9l+YbD6XMs4JgEX2p44kGN92gn4DNWv9fYA+9n+/eBHGxEREdG5sgcnVkvSoBe/tr8+mMVNJ5E0ETgP2N/2jsBewLKWBhURERHRhjKDE39RZkPOAt4H3Ap8RtJZwCFU75WngeNtPyNpNPBF4ABgJfCY7Q+Wfvo75zxgQ9tnSHoYOMT2veWcU4G3254iaVtgBrAZMBqYYftbpd3BZdwlwA0NXNO+wHRg/RLPF2xfXY7dAtwJ7A50AbY9TdLmwE013WwJfMf26ZKuBLYFxgCPAMfaXlrajZL0jdJfD3Co7QfqJr5yOtUszzNUgfyluJH0baAbeDOwNfAD4Drgs8CbgIttf7XBcQDo6uoaSPO2NVyucyhox1wvfeoxlrc6iLXUjvluV8l1cyXfzdPJuU6BE32tZ3sSgKQjgG2A3WyvknQycBEwGfgUsBVVUbJc0mYNnFPru8DRwCfK82OA08vM0VXAZNsPStoIuEvSbVRFzWXAHrYXlEKqnrnAXrZXSnoDcLekG2uKki2BfYCNgEclXWH7YWBCuZ63Ad8HLintP2Z7cTk2HZgKTCvHdgCm2D5R0tnAp1dz3f3ZHvitpJ8DG1IVMV+w3VPT977ASOBx4LXAO4E3AgtK3A0v01u4cGGjTdtWV1fXsLjOoaBdcz2yu7vVIay1dsx3O2rX93a7Sr6bp51yvTaFWAqc6Os7NY8PAiYCc6vtIYzir8um3g980vZygN4P/XXO6TvOHaVI2Y7qA/utwFvK39XlfKhmS95CNVM01/aC8vo3gS/VuZ6xwExJbwZWAJtSzcDcXo5fY3sVsEzSA1QzJA8DSHoTcC1VsfVoaX+UpMlUM0uvAR6qGWuB7XvK49uBA+vEVmsUsBOwf+n7J8ATVIUgwA9td5e4FgA3lLiflrQUGAc8OIDxIiIiIjpSCpzoq3YWYAQw3fbM1bQb0c/5azrnL2w/IWk+8F5gEtUSsB5JI4DFtif0PUfSBxq5gD6+BswGDi79P0S1XK3XSzWPV1L+TUjaGLgemGr7tvLa3sDJVDNIiyQdDpxQr68G/TdwbSliuiX9b2AX/lrg9O17XcaKiIiI6Fi5yUCsyWzgFEmbAEgaI2l8OXYd8PGyF4feJWp1zunr28BxwGH8deZoAfCipCN7G0narhQctwFvK7MxlHPreR3weClu9qdaPrdGZZnctcAs29f26WsZ8AdJY4BjGxi/UVcB75Y0QtKrqJaj3TuI/UdEREQMC/nWN/ple1YpXOaU5WLrAZdSffC+ADgfmCdpOdWG+0PqnNNX796WO20/UcZcIelAYIakM6n2nPwekO1nJZ0AXCdpCeAGLmMacKmkacBvyl89e1IVGJuXPUUAVwIXA0dQLQV7CriLapZlMFxNtbRvPrAKuBG4YpD6jojV2XQso6fVW+U69Iwau0WrQ4iIGNJG9PT01G8VEZ2kp102Fq6LdtpA2e6S6+ZKvpsnuW6u5Lt52inX5SYD/W2NWK0sUYuIiIiIiI6RJWrR9lbzuzW9fmD7c82Opz+SJlDtO+rrEtuXNzmciIiIiI6UAifanu1nKb9bM5TZnkcbxBkRERHRzrJELSIiIiIiOkYKnIiIiIiI6BgpcCIiIiIiomOkwImIiIiIiI6RmwxERMSwM3LpYliyqNVhrJXnu1+EMRu0OoyIiCErBU5ERAw/Sxax/IKprY5irYw+dwaM26rVYUREDFkpcKJpJJ0EvNr2xYPYZw+wke0XBqvPtYxjEnCh7YkDOVbTZgpwOrAKGAlcZvvfXploIyIiIjpX9uDEakka9OLX9tcHs7jpMN8HxtueAOwBfFLSTi2OKSIiIqLtZAYn/qLMhpwFvA+4FfiMpLOAQ6jeK08Dx9t+RtJo4IvAAcBK4DHbHyz99HfOecCGts+Q9DBwiO17yzmnAm+3PUXStsAMYDNgNDDD9rdKu4PLuEuAGxq4pn2B6cD6JZ4v2L66HLsFuBPYHegCbHuapM2Bm2q62RL4ju3TJV0JbAuMAR4BjrW9tLQbJekbpb8e4FDbD9RNfDXwczVPNwBeVfpA0reBbuDNwNbAD4DrgM8CbwIutv3VRsbp1dXVNZDmbWu4XOdQ0G65XvrUYyxvdRDroN3y3c6S6+ZKvpunk3OdAif6Ws/2JABJRwDbALvZXiXpZOAiYDLwKWArqqJkuaTNGjin1neBo4FPlOfHAKeXmaOrgMm2H5S0EXCXpNuoiprLgD1sLyiFVD1zgb1sr5T0BuBuSTfWFCVbAvsAGwGPSrrC9sPAhHI9b6OaXbmktP+Y7cXl2HRgKjCtHNsBmGL7RElnA59ezXX3S9JBwPlURcynbN9Xc3gHYF+q5WuPA68F3gm8EVhQ4m54md7ChQsbbdq2urq6hsV1DgXtmOuR3d2tDmGdtFu+21U7vrfbWfLdPO2U67UpxFLgRF/fqXl8EDARmCsJqvfLsnLs/cAnbS8H6P3QX+ecvuPcUYqU7ag+sN8KvKX8XV3Oh2q25C1UM0VzbS8or38T+FKd6xkLzJT0ZmAFsCnVDMzt5fg1tlcByyQ9QFVcPAwg6U3AtVTF1qOl/VGSJlPNLL0GeKhmrAW27ymPbwcOrBPby9ieDcyWtCXwQ0k31FzrD213l7gWADeUuJ+WtBQYBzw4kPEiIiIiOlEKnOirdhZgBDDd9szVtBvRz/lrOucvbD8haT7wXmAS1RKwHkkjgMVlL8rLSPpAIxfQx9eA2cDBpf+HqJar9Xqp5vFKyr8JSRsD1wNTbd9WXtsbOJlqBmmRpMOBE+r1NVAlN7+mKiJ7C5y+fQ/KWBERERGdJjcZiDWZDZwiaRMASWMkjS/HrgM+Xvbi0LtErc45fX0bOA44jL/OHC0AXpR0ZG8jSduVguM24G1lNoZybj2vAx4vxc3+VMvn1qgsk7sWmGX72j59LQP+IGkMcGwD4zdE0nY1jzcD3gXc1/8ZEREREbE6+dY3+mV7VvmwPacsF1sPuBS4F7iAar/IPEnLqTbcH1LnnL5697bcafuJMuYKSQcCMySdSbXn5PeAbD8r6QTgOklLADdwGdOASyVNA35T/urZk2q/y+ZlTxHAlcDFwBFUS8GeAu4Cdmmgv0acKOndwJ+pZsEusX1TnXMiYm1tOpbR0+qtcB2aRo3dotUhREQMaSN6enpaHUNENFdPu2wsXBfttIGy3SXXzZV8N09y3VzJd/O0U67LTQb62xqxWlmiFhERERERHSNL1KLtreZ3a3r9wPbnmh1PfyRNoNp31Nclti9vcjgRERERHSkFTrQ9289SfrdmKLM9jzaIMyIiIqKdZYlaRERERER0jBQ4ERERERHRMVLgREREREREx0iBExERERERHSM3GYiIiGFl5NLFsGRRq8NYa893vwhjNmh1GBERQ1YKnIiIGF6WLGL5BVNbHcVaG33uDBi3VavDiIgYslLgRNuSdB6woe0zhkAstwAX2r5+IMfK8fWAXwK9X8n+DjjJ9uOvSLARERERHSx7cCJazPYq4ADb422PB34MfKXFYUVERES0pczgREMkHQCcD4wEFgEnAuOArwJzgfHACuAY2/PLOUcDp1C9z5YBJ9teIOkY4HBgKbAj8EfgQ7afKeedBRxSznsaON72M5JeC1wBbA88UeL4fZ24rwS2BcYAjwDH2l4qaRIwA7gD2B3oAQ61/YCkc4CDSxejgbcArwMmAtOB9UtsX7B9dc1w75Q0DegCbHtaQ8mtGi+reboxsKrE/7fAXcBlwAHAq4HJwEnArsCfgA/05q5RXV1dA2netobLdQ4F7ZTrpU89xvJWB7GO2inf7S65bq7ku3k6OdcpcKIuSZsDs4B32p4v6SPAlcBUYCfgNNtzSkHzXWCipL0BAfvY7pb0XmAmsGfpdmdgJ9tPSroMOBU4W9IRwDbAbrZXSToZuIjqQ/05wHO2t5e0GVVh5Trhf8z24nId00vMvYXHDsAU2ydKOhv4NDDZ9ueAz5VzZgE32l4maS6wl+2Vkt4A3C3pRttLS39bAvsAGwGPSrrC9sMDyPMNwNuBxcC7aw69HviF7U9JOhO4GZhk+3hJlwIfLbE3bOHChQNp3pa6urqGxXUOBe2W65Hd3a0OYZ21U77bWbu9t9td8t087ZTrtSnEskQtGrErcG/vzAzwLWAC1Qf5R2zPKa/PAt4qaWPgQKpZnTskzQMuAN5U0+cvbT9ZHt8ObF0eHwTsB8wt5/0z8Lfl2LuoZnAoRcsPGoj9KEl3S7qPatZoQs2xBbbvWU0MAEj6PLAh8Mny0ljgWkn3AzcCm1LNDvW6xvaqMhvzQN/+6rH9D1SzP9/j5QXLC7Z/VB7PBZ6yPa88v5uqIIyIiIgIMoMTjRlBtYRroOfMtH1OP8dfqnm8kr++F0cA023P7KfPhpVZpJOBPWwvknQ4cEIDMSBpCrA/8K6yRwbga8Bs4GDbPZIeolquVre/RpVZqyuAh6mW9wHUft28cjDGiYiIiOhUmcGJRtwGTJC0XXl+NHAP8DywTSkkoJohuc/2c8B1VLMn4wAkjZT0jgbGmg2cImmTct4YSePLsZuBKeX11wMfrNPX66j2/vxB0hjg2AbGR9J+VMvYDrL9pz79PV6Km/0ZpJkTSWPL9fT6MHDfYPQdERERMdzkm9+oq8x+HAlcJWkU1eb+I6huMjAPOEzSDKrZhKPKOT8v+1pmSxpJtVn/GqolVWsaa1bZXzNHElRF+KXAvcDngZmS5gOPAzfVCf3HJc4HgaeoNuvv0sAln021NO2mEgPA3lRFz6XlRgK/KX+DYQvg25JeRTVL9dsSd0S8EjYdy+hpX2p1FGtt1NgtWh1CRMSQNqKnZ6ArjyIq5U5kF9qe2OpYYkB62mVj4bpopw2U7S65bq7ku3mS6+ZKvpunnXJdbjIwoG0KWaIWEREREREdI0vUYq3ZvoXqt2Faqs/v1tR6t+1nmx1PfyR9Hditz8srMgMWERERMXhS4ETbq/3dmqHM9kmtjiEiIiKi02WJWkREREREdIwUOBERERER0TFS4ERERERERMdIgRMRERERER0jNxmIiIhhZeTSxbBkUavDWGvPd78IYzZodRgREUNWCpyIiBhelixi+QVTWx3FWht97gwYt1Wrw4iIGLJS4ETTSDoJeLXtiwexzx5gI9svDFafaxnHJODC1f2mzZqO1bR5N/BF4K3Av9s+4xUKNSIiIqKjpcCJ1ZI0yvaKwezT9tcHs78O8xhwPPAhYP0WxxIRERHRtlLgxF+U2ZCzgPcBtwKfkXQWcAjVe+Vp4Hjbz0gaTTXjcACwEnjM9gdLP/2dcx6woe0zJD0MHGL73nLOqcDbbU+RtC0wA9gMGA3MsP2t0u7gMu4S4IYGrmlfYDpV0TAK+ILtq8uxW4A7gd2BLsC2p0naHLipppstge/YPl3SlcC2wBjgEeBY20tLu1GSvlH66wEOtf1A3cRXAz9SYvrAaq7h20A38GZga+AHwHXAZ4E3ARfb/moj4/Tq6uoaSPO2NVyucyhop1wvfeoxlrc6iHXUTvlud8l1cyXfzdPJuU6BE32tZ3sSgKQjgG2A3WyvknQycBEwGfgUsBVVUbJc0mYNnFPru8DRwCfK82OA0yWNAq4CJtt+UNJGwF2SbqMqai4D9rC9oBRS9cwF9rK9UtIbgLsl3VhTlGwJ7ANsBDwq6QrbDwMTyvW8Dfg+cElp/zHbi8ux6cBUYFo5tgMwxfaJks4GPr2a615bOwD7AiOBx4HXAu8E3ggsKHE3vExv4cKFgxTW0NXV1TUsrnMoaLdcj+zubnUI66yd8t3O2u293e6S7+Zpp1yvTSGWAif6+k7N44OAicBcSVC9X5aVY+8HPml7OUDvh/465/Qd545SpGxH9YH9VuAt5e/qcj5UsyVvoZopmmt7QXn9m8CX6lzPWGCmpDcDK4BNqWZgbi/Hr7G9Clgm6QGqGZKHASS9CbiWqth6tLQ/StJkqpml1wAP1Yy1wPY95fHtwIF1YhuIH9ruLnEtAG4ocT8taSkwDnhwEMeLiIiIaEspcKKv2lmAEcB02zNX025EP+ev6Zy/sP2EpPnAe4FJVEvAeiSNABbbntD3nNUt32rA14DZwMGl/4d4+R6Xl2oer6T8m5C0MXA9MNX2beW1vYGTqWaQFkk6HDihXl+DpG/fr+RYEREREW0rP/QZazIbOEXSJgCSxkgaX45dB3y87MWhd4lanXP6+jZwHHAYf505WgC8KOnI3kaStisFx23A28psDOXcel4HPF6Km/2pls+tUVkmdy0wy/a1ffpaBvxB0hjg2AbGj4iIiIgmyre+0S/bs0rhMqcsF1sPuBS4F7gAOB+YJ2k51Yb7Q+qc01fv3pY7bT9Rxlwh6UBghqQzqfac/B6Q7WclnQBcJ2kJ4AYuYxpwqaRpwG/KXz17Uu132bzsKQK4ErgYOIJqKdhTwF3ALg30V5ekvYCrgY2BEZIOBT5i+8bB6D8iamw6ltHT6q1uHbpGjd2i1SFERAxpI3p6elodQ0Q0V0+7bCxcF+20gbLdJdfNlXw3T3LdXMl387RTrstNBvrbGrFaWaIWEREREREdI0vUou2t5ndrev3A9ueaHU9/JE2g2nfU1yW2L29yOBEREREdKQVOtD3bz1J+t2Yosz2PNogzIiIiop1liVpERERERHSMFDgREREREdExUuBERERERETHSIETEREREREdIzcZiIiIYWPk0sWwZFGrw1gnz3e/CGM2aHUYERFDVgqciIgYPpYsYvkFU1sdxToZfe4MGLdVq8OIiBiyUuBEx5F0HrCh7TOaOOYk4ELbEwdyrE87AZ+h+rXeHmA/278f/GgjIiIiOlf24EQMAZImAucB+9veEdgLWNbSoCIiIiLaUGZwYp1IOgA4HxgJLAJOBMYBXwXmAuOBFcAxtueXc44G/m979x4tV13ef/x9ODEJIQECxMIQUBAQwy0CQbkERRClFYotfgoEKCCIaC2gKFlSE27FUFCDXKpcQkJE6IN00YhAuBSIreESLiEtkAKRSzhFgzkmYeXHCYT5/bG/p4yHk2TmZM6eM3s+r7Vcmdl7f7/72Q9zjnnyvczXyD5/y4DTI2KhpBOBY4FOYFfgj8BfR8Trqd13gKNSu9eAUyPidUmbANcDY4BXUhy/S20OBi4ChqZ2/xgRt6RzDwKPAfsCJSAiYqKkDwL3VDzmtsCMiDhL0k3AR4EhwAvAyRHRma4bJOmnqb8ycHREPFtlKs8iG+V5nSyQ/ytuJE0HuoAdgY8A/wr8Ejgf2Ab4UURcXuV9ACiVSrVc3rRa5TkHgmbJdefiRaxqdBB10Cz5LgLnOl/Od36KnGsXONZnqRCYCXwqIp6R9GXgJuAcYHfg7yPioVTQ3AjsLWk8IODAiOiSdBgwDdg/dTsO2D0iXpV0LfAN4FxJxwE7AJ+MiHclnQ78AJgATAKWR8QYSVuQFVaR+nsCOCAiVkv6M+BxSbMripJtgQOBEcCLkq6PiOeBsekZPw7cBlyZrj8jIt5I5y5KzzoxndsFOCkiTpN0LvAPKb5qjAF+K2kOMJysiPnHiChX9H0wWSH5ErAJ8ClgK2BhivvNKu9FR0dHtZc2rVKp1BLPORA0U67bu7oaHUJdNEu+m10zfbaLwPnOTzPlui+FmAscWx+fAOZ3j8wANwBXkxULL0TEQ+n4TOAaSRsDh5ON6jySLTmhDRhZ0ed/RsSr6fXDwGfT6yOAvYEnUrvu0R+Ag8gKISLiDUn/WtHfKGCapB3JRpI2IxuBeTidvzUi3gWWSXqWbITkeQBJ2wC/ACZExIvp+hMkTQAGAxsB/1Nxr4UR8WRF7IevJXc9DSIrCj+b+r6bbDTqxnT+9ojoSnEtBO5Mcb8mqZNs1Oy5Gu5nZmZmVkgucGx9dC+Gr7XNtIiYtIbzb1W8Xs17n9E24KKImLaGPtfkn4FZwF9FRFnS/5BNV1vr/VIxdgdwTkTMTcfGA6cD+0XEEknHAl+pIvZqvAz8IhUxXZL+DdiH9wqcnn2vz73MzMzMCsubDNj6mAuMlbRzev+3wJPACmCHVBBAtq5mQUQsJ1s7coKk0QCS2iXtVcW9ZgFfkzQytRsiaY907n7gpHR8c+CLFe02BV5Kxc1nyaa5rZWkQWQjNzMj4hc9+loG/EHSEODkKuKu1s+BQyW1SfoA2XS0+XXs38zMzKwl+F99rc/SKMbxwM9TUbAEOI5sutRTwDGSppKNMJyQ2sxJ61NmSWonm451K/D4Ou41M62veShNUduAbDrcfOBCsmloz5CtT6ncIGAicLWkicDT6X/rsj9ZgfHBtPYHsrVFP0rP9xywGJhHNspSD7eQTcF7BngXmE22cYKZ1dNmoxg88ZJGR7FeBo3astEhmJkNaG3lcq0zjMzWrtrvfbGGKTfLwsL10UwLKJudc50v5zs/znW+nO/8NFOu0yYDa1uO8D6eomZmZmZmZoXhKWpWdxHxINl0K6sgaSwwvZdTV0bEdTmHY2ZmZlZILnDMchIRT5G+X8fMzMzM+oenqJmZmZmZWWG4wDEzMzMzs8JwgWNmZmZmZoXhAsfMzMzMzArDmwyYmVmhtXe+AUuXNDqMulnRtRKGDGt0GGZmA5YLHDMzK7alS1g15ZxGR1E3gydPhdHbNzoMM7MBywWOtTxJnwYui4h+/+4eSWVgRES8Waf+jgS+D7wFHB0RC+vRr5mZmVmzcoFj1txOAyZFxK2NDsTMzMxsIGgrl8uNjsEsN5KGATOAXYC3gYXA1cBU4BFgX6BMNhrybGpzDnB86uIx4BsR8aak84AxwHDgQ8BzwMkRsWwt9y8DI4CVwA+ALYETgb8GzgAGp0vPjoj7K9t0j/pU9HEhcCrwe+DliDioyjT4h95aSuej/8Gb55/Z6DDqZvjkqYzc54BGh2Fmlqe2Wi72CI61ms8BjI7mMQAAFCFJREFUIyNiDICkkcAeZAXPSRFxmqRzgX8AJkg6jKy42Q9YQVYcfQ/ontA/HhgbEb+TNC2dO3sdMQwFpgMvAcdGRFnSbODm9PqjwP3A6LV1EhFnSfo42fS6O2pJQkdHRy2XN6VSqdQSzzkQDPRct3d1NTqEuhvI+S6Sgf7ZLhrnOz/NlOtSqVRzGxc41mrmAztLugp4EPhVOr4wIp5Mrx8GDk+vDwFuiYjlAJKuAS6v6O+OiPhden09cEUVMdyd+rys4thHgJslbU02srSlpC0j4vWans7MzMysxfl7cKylRMQi4GPAvWTFy3yyEZW3Ki5bzXvFfxvvn9K1pilevV3bmweAz0vaqOLYzcDVEbELsCfwToqrO54NACQNxczMzMzWyAWOtRRJo4HVEXE7cBYwCthsLU3uBY6WNEJSG3AKcF/F+b+QNCq9PpGseFmX81O/d0vaOB3bFPhtev1lYEjF9S8C49LrY6vo38zMzKxleYqatZrdgCmSANrJtlhe4yTUiLhL0u7A3HRoHnBRxSX3A9MkbU+2YcG3qgkiIi6R9P+A+yR9HjgTuF3Sa8BDwB8qLj8L+Kmk/wVqWmtjZsBmoxg88ZJGR1E3g0Zt2egQzMwGNO+iZtZHaRe14RGxrk0FBppysywsXB/NtICy2TnX+XK+8+Nc58v5zk8z5TptMlDTLmqeomZmZmZmZoXhKWpmfRQR5/V2XNIk4K96OXVoRPy+X4MyMzMza3EucMzqLCIuAC5odBxmZmZmrchT1MzMzMzMrDBc4JiZmZmZWWG4wDEzMzMzs8JwgWNmZmZmZoXhTQbMzKxw2jvfgKVLGh1Gv1jRtRKGDGt0GGZmA5YLHDMzK56lS1g15ZxGR9EvBk+eCqO3b3QYZmYDlqeomQ0wktobHYOZmZlZs/IIjlkVJA0DZgC7AG8DC4HvAdOBYUA7MD0iLpM0HLgCGJeaz4yIS9bS96eBqcCvU5uLJM0BfgjsDgwFHgC+GRGrJY0BbgA2Ap4CdgAuiog76vnMZmZmZs3IBY5ZdT4HjIyIMQCSRgLnAXdGxIUVxyArfDYAdgNGAHMlPR0Rd62l/92A0yPiG6mv64CHIuIUSRsANwEnA9cCM4EfRcTPJO0NPFLrw5RKpVqbNKVWec6BYKDlunPxIlY1Ooh+NNDyXWTOdb6c7/wUOdcucMyqMx/YWdJVwIPAr4A5wGWSBpONsDyQrj0EOCMiysBySTenY2srcJ6PiLkV748A9pH0rfR+GLBY0sbArsDPASJinqSna32Yjo6OWps0nVKp1BLPORAMxFy3d3U1OoR+NdDyXVQD8bNdZM53fpop130pxFzgmFUhIhZJ+hhwMHAYcDHZqMtc4FBgItkIy3FAG1Du0UXP9z292eN9G3BkRCyqPChpk9TXuvozMzMza0neZMCsCpJGA6sj4nbgLGAUsA/wekRMB85P7wHuBU6R1CZpBHA0cF+Nt5wFTOzecEDSFpK2i4hlwDPAMen4nmSFlpmZmZnhAsesWruRraWZDzwKfB84AFgg6UmyTQXOSNdeSDYCs4BshGdmRNxd4/3OBFYD8yUtAO4Gtk7nTgDOlPQ48FWy6XPL+vpgZmZmZkXSVi57potZM5G0EbAyIsppR7UHgY9GRGeVXZSbZd7t+mim+cXNbiDmushf9Dls9IdY4S/6zMVA/GwXmfOdn2bKdVqD01ZLG6/BMWs++wOXSur+YT+1huLGrCWsHrkFjNyi0WH0ixGlEiua5C8mZmaN4ALHLCeSZgHb9jj8SkQcUUs/EXEPcE/dAjMzMzMrEBc4ZjmptZAxMzMzs9p5kwEzMzMzMysMFzhmZmZmZlYYLnDMzMzMzKwwXOCYmZmZmVlhuMAxMzMzM7PC8C5qZmbWZ+2db9C5eBHtXV2NDqVlrOhaCf6iTzOzNXKBY2Zmfbd0CW9OOafRUbSUwZOnwujtGx2GmdmA5Slq1nIklSUNr3Of10kan14fKWmfKtqcJ+myesZhZmZm1uo8gmNWBxFxSsXbI4F5wKMNCsfMzMysZbnAsUKSVAbOBb4IbA58OyJuq7LtT4BPprfDgc0jYqSkjYEfArsDQ4EHgG9GxGpJDwKXAW8DRwCHSDolXf8IMB0YBrQD0yOie+Rma0l3AtsDLwJfioiVaYTpCmBcum5mRFyS4nsQeAoYC4wGIiK+W0t+SqVSLZc3rVZ5zkbqXLyIVY0OogX5s50f5zpfznd+ipxrFzhWZMsjYpyk/YEAqipwIuKrAJI+AMwmKzQgK1YeiohTJG0A3AScDFxb0Xa2pFnAvIi4MvVzOXBnRFyY3o+suN3eZEXMsnSvCam/75FNId0NGAHMlfR0RNyV2o0BDiErtOZK+k1E3FFtYjo6Oqq9tGmVSqWWeM5G8+YCjeHPdj78eyRfznd+minXfSnEvAbHiuyW9OfDQEnS0BrbXwcsiIjL0/sjgG9Legp4AtgL2KmKfuYAJ0u6UNJngD9WnJsdEX+MiDLZSM9H0vFDgGsjohwRy4Gb07FuMyLinYh4Mz3nZ2p8NjMzM7NC8giOFdlbAGkKGdTweZd0AbAJcFLF4TbgyIhYVEsQEXGbpLnAocBEslGf4ypjTFYDG1bcq9yjq57vK+Na0zkzMzOzluIRHLMeJJ0IfA44NiLerTg1C5goqT1dt4Wk7XrpYjlZcdTd3w7A6xExHTgfWOcOa8C9wCmS2iSNAI4G7qs4f7ykQZI2Ar5Eth7IzMzMrOV5BMfs/SanP3+TRn5WRMR44Ezgn4D5aRODrnTstz3azwSmS/oS2bqd0cAESavIRlrOqCKGC4ErgQXdfUbE3RXnnyAreLYGbq1l/Y1ZXW02iuGTp7LKa3FyM2jUlo0OwcxsQGsrlz2zxayZdO/Yth5FTblZFhauj2ZaQNnsnOt8Od/5ca7z5Xznp5lynTYZaKuljaeomZmZmZlZYXiKmrUsSfN4/8/Aw93bRA9UEfHpRsdgZmZmNlC5wLGWFRF7NzoGMzMzM6svT1EzMzMzM7PCcIFjZmZmZmaF4QLHzMzMzMwKwwWOmZmZmZkVhjcZMDNrIe2db8DSJXXts3PxItr9RZ+5WdG1EoYMa3QYZmYDlgscM7NWsnQJq6acU9cuV9W1N1uXwZOnwujtGx2GmdmA5SlqVliSypKG97HtdEl/18vxD0v6So9jd0r6yDr621vSTen1ppK+05e4evRZl37MzMzMisQjOGa1+TDwFeCa7gMR8efrahQR84AJ6e2mwHeAf1rPWOrVj5mZmVlhuMCxpiapDJwLfBHYHPh2RNxWZdvdgKuBjYChwDURMbWX6w4CfgwcA1wFbCfpKeCFiDhK0kvAF4CRwI8j4uMVbR8Hvgm0AZelLxe9Ctg09bEyIvaT9C3gaLKfybeA0yPiqdTHJ4ApwMap20kR8ave+qkqaUCpVKr20qbWKs9Zi87FizylrAD82c6Pc50v5zs/Rc61CxwrguURMU7S/kAAVRU4wEvAIRHRlaayPSppdkQ8232BpAnAmcDnI+I1SV/nvULlT0TEryUNl7R7RDwtaVeyUZY5wKcqLv06MC8ixlYcuzEifpDueQjwE+CTkjZNr/88Iv5X0lbAY6nv3vqpSkdHR61Nmk6pVGqJ56yVNwMoBn+28+HfI/lyvvPTTLnuSyHmNThWBLekPx8GSpKGVtluGHC9pAXAfwIlYI+K8ycBpwMHR8RrVfZ5I3BiRfvpEVGuot1ekuZI+i/gh0B30bIfsB1wVxqpuQsoAztUGY+ZmZlZS/EIjhXBWwARsVoSVP+5vhh4HTgxIt6RdA/ZVLVu84EDgTFkxVM1ZgCPSPou2ZS2fdfVQNJg4BfAgRHxhKQS0F1QtQFPR8SBvbT7cJUxmZmZmbUMj+BYK9sUeDUVN7sC43ucf4Jsbc/PJHVPMVsObLKmDiPiFeAZsjU7z0TEy71cthwYJqm7EBtKVpS9mt5/reLa3wA7pnVAAEgaJ6mtl37MzMzMWp7/YmSt7CJgpqTjgBfJ1sr8iYhYIOkLwC/TttH3AwvTVLLnIuKoXvq9AZgJHN/bTSNiadoyeoGkzrTJwCSytTWvkE1D6762U9IRwKWSpgKDgUXA4b310/dUWMvYbBSDJ15S1y4HDxnCKq/tyc2gUVs2OgQzswGtrVyuZnmAmRVIuVkWFq6PZlpA2eyc63w53/lxrvPlfOenmXKdNhloq6WNp6iZmZmZmVlheIqaFZ6kebz/s/5wRHy1EfGYmZmZWf9xgWOF19t31piZmZlZMXmKmpmZmZmZFYYLHDMzMzMzKwwXOGZmZmZmVhgucMzMzMzMrDC8yYCZ1V175xuwdElDY+hcvIh2f/lkLpzrfK3oWglDhjU6DDOzAcsFjrUkSWVgRES82c/3ORH4QkQc1Z/3GXCWLmHVlHMaGsKqht69tTjX+Ro8eSqM3r7RYZiZDVieomZWEJL8DxZmZmbW8vwXImt5kj4KTAW2AAYDUyPiBknDgBnALsDbwMKIUGrzt8DXyH6GlgGnR8RCSYOBK4BPA68Bz1XcZzfgamAjYChwTURMTeceBC6LiDt6vpe0VepzW2BD4OaIuDhd9xJwPfAZYBHw5fpnyMzMzKx5uMCxlpZGPX4OTIiI5ySNAOZJmgt8DBgZEWPStSPTn+MBAQdGRJekw4BpwP7AacB2wK7AB4A5wEvpdi8Bh6Q2w4FHJc2OiGfXEeaNwIURMScVUPdLeiwi7k3nt4qIg2p57lKpVMvlNetcvMjTlsz6UX//DNt7nOt8Od/5KXKuXeBYq9uJrJC5RVL3sSHp2HxgZ0lXAQ8Cv0rnDwf2AB5JbdqAkencQcCMiHgbeFvSz4AD0rlhwD9L2gN4FyilftZY4EjaiGw0aFRFfCNSfN0Fzo21PnRHR0etTWriBedm/au/f4YtUyqVnOscOd/5aaZc96UQc4Fjra4NeCMixvZ2UtLHgIOBw4CL0zSzNmBaRExaQ39rcjHwOnBiRLwj6R6yqWoA7/Cna+K6j28AlIFxqWjqTb9ulGBmZmbWTLzJgLW6hcBKScd3H5C0s6SNJY0GVkfE7cBZwChgM+CXwAnpPJLaJe2Vmt8PHC9pkKQNgWMr7rUp8GoqbnYFxlecexEYl/obA4wFiIgVwK+BiRXxbSNpy/qlwMzMzKw4PIJjLS0VG4cDUyV9G2gHfke2xmY3YEqaGtYOfD8iOoAOSecCsyS1k21McCvwOHANsDvw38Bi4CGyNTkAFwEzJR1HVtDMqQjlEuDWtJ7naeDJinMTgB9JWpDerwBOJhsNMjMzM7MKbeVyudExmFm+yv2+BmcAfNHn4CFDWOW1QLlwrvM1bPSHWOEv+sxFM61TKALnOz/NlOu0BmdtSwDexyM4ZlZ3q0duASO3aGgMI5vol3ezc67zNaJUYoXzbWa2Rl6DY2ZmZmZmheECx8zMzMzMCsNrcMxaj3/ozczMrJl4DY6ZrVVNvyTMzMzMmomnqJmZmZmZWWG4wDEzMzMzs8JwgWNmZmZmZoXhAsfMzMzMzArDBY6ZmZmZmRWGCxwzMzMzMysMFzhmZmZmZlYYLnDMzMzMzKwwXOCYmZmZmVlhDGp0AGZm9SBpGHADsBfwDnB2RNzRy3V/CUwChgBtwLSI+EGesTa7GnK9NfAzYE/g+YjYO9dAm5iknYAZwObAH4ATIuL5Hte0Az8GPg+UgSkRcV3esTa7KnN9KHAxsBtwRUScnXugBVFlvr8HHE32++Ud4LsRMTvvWJtdlbk+CTgLeBdoB66NiB/nHWu9eQTHzIribGBFROwAHA5cJ2l4L9e9DhweEbsC+wGnSxqfY5xFUG2u3wQmAxPyDK4gfgJcFRE7AVcBP+3lmgnADsCOwL7AeZI+nFuExVFNrhcBpwKX5hlYQVWT70eBcRGxB3Ay8C+SNswxxqKoJte3AXtExFiy/0/8lqTdc4yxX7jAMbOi+BuyX+akf6GaBxzW86KIeCQiOtLrZcCzwIdyjLMIqs31soiYQ1boWJUkfZBs1OvmdOhmYE9Jo3pc+jdk/9r6bkQsAW4HvpRfpM2v2lxHxAsR8STZaIL1UQ35nh0RK9Pbp8lG2zfPLdACqCHXyyOinN4OAz5ANiLc1FzgmFlRbAu8XPH+FWCbtTWQtDPwSeDf+zGuIqo511aTbYDXImI1QPqzg/fn2P8d1l+1ubb66Eu+TwBejIjFOcRXJFXnWtIRkv6b7PfJpRGxINdI+4HX4JhZU5D0BNlf6HrzZ33obyvg34Cvd4/oWKbeuTYz6wtJnwIuBD7b6FiKLCJmAbMkbQvcLunOiFjY6LjWhwscM2sKEbHn2s5LeoVsqtmSdGhb4IE1XPtB4D6yf6mKesZZBPXMtfXJq8DWktojYnXaTKCUjlfq/u/wWHrfc0TH1q3aXFt9VJ1vSfuSbVLyl83+l+0GqfmzHRGvSHoU+ALQ1Dn3FDUzK4pbgdMAJO0IjAPu7nmRpM2Be4ErveNUn1WVa+ubiPg98BRwTDp0DPBkWmdT6VbgVEkbpHn1R5ItGLYq1ZBrq4Nq8y1pHPAvwFER8US+URZDDbneueL1FsBBgKeomZkNEJcC0yW9AKwGvhIRKwAkXQB0RMRPgInATsBpkk5LbS+PiBsaEXSTqirX6V8MXybbknsTSYuB6yLivAbF3Uy+CsyQNAnoJFuHgKQ7gUkRMQ+YCXwC6N729YKIWNSIYJvcOnMt6QDgFmBjoE3S0cCXvXVxn1Tz2b4a2BD4qaTudscXYW1IzqrJ9WlpG/S3yTZzuDIi7mlUwPXSVi43/UYJZmZmZmZmgKeomZmZmZlZgbjAMTMzMzOzwnCBY2ZmZmZmheECx8zMzMzMCsMFjpmZmZmZFYYLHDMzMzMzKwwXOGZmZmZmVhj/H5O3J4OoZb62AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x3600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.drop('churn', axis=1).corrwith(df.churn).sort_values().plot(kind='barh',figsize=(10, 50));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Drop features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(209043, 170)\n",
      "(209043, 163)\n"
     ]
    }
   ],
   "source": [
    "print(df.shape)\n",
    "df.drop([\"auftrag_new_id\", \"avg_churn\", \"ort\", \"date_x\", \"kuendigungs_eingangs_datum\", \"abo_registrierung_min\", \"training_set\"], axis=1, inplace=True)\n",
    "print(df.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sample & split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(41809, 163)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>liefer_beginn_evt</th>\n",
       "      <th>kanal</th>\n",
       "      <th>objekt_name</th>\n",
       "      <th>aboform_name</th>\n",
       "      <th>zahlung_rhythmus_name</th>\n",
       "      <th>lesedauer</th>\n",
       "      <th>rechnungsmonat</th>\n",
       "      <th>zahlung_weg_name</th>\n",
       "      <th>studentenabo</th>\n",
       "      <th>plz_1</th>\n",
       "      <th>...</th>\n",
       "      <th>unsubscribed_anzahl_zeitbrief_1m</th>\n",
       "      <th>unsubscribed_anzahl_zeitbrief_3m</th>\n",
       "      <th>unsubscribed_anzahl_zeitbrief_6m</th>\n",
       "      <th>openrate_zeitbrief_1w</th>\n",
       "      <th>clickrate_zeitbrief_1w</th>\n",
       "      <th>openrate_zeitbrief_1m</th>\n",
       "      <th>clickrate_zeitbrief_1m</th>\n",
       "      <th>openrate_zeitbrief_3m</th>\n",
       "      <th>clickrate_zeitbrief_3m</th>\n",
       "      <th>churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>142760</th>\n",
       "      <td>2018-02-15</td>\n",
       "      <td>Telefonmarketing</td>\n",
       "      <td>DIE ZEIT</td>\n",
       "      <td>Festabo</td>\n",
       "      <td>vierteljährlich</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>Rechnung</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.92</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95294</th>\n",
       "      <td>2018-04-26</td>\n",
       "      <td>E-Mailing</td>\n",
       "      <td>DIE ZEIT</td>\n",
       "      <td>Probeabo</td>\n",
       "      <td>jährlich</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>Bankeinzug</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100425</th>\n",
       "      <td>2017-05-04</td>\n",
       "      <td>Telefonmarketing</td>\n",
       "      <td>ZEIT Digital</td>\n",
       "      <td>Festabo</td>\n",
       "      <td>jährlich</td>\n",
       "      <td>32</td>\n",
       "      <td>0</td>\n",
       "      <td>Bankeinzug</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37221</th>\n",
       "      <td>2013-05-29</td>\n",
       "      <td>andere</td>\n",
       "      <td>DIE ZEIT</td>\n",
       "      <td>Festabo</td>\n",
       "      <td>jährlich</td>\n",
       "      <td>84</td>\n",
       "      <td>0</td>\n",
       "      <td>Bankeinzug</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22972</th>\n",
       "      <td>2013-02-07</td>\n",
       "      <td>andere</td>\n",
       "      <td>DIE ZEIT</td>\n",
       "      <td>Probeabo</td>\n",
       "      <td>jährlich</td>\n",
       "      <td>86</td>\n",
       "      <td>0</td>\n",
       "      <td>Rechnung</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.08</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 163 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       liefer_beginn_evt             kanal   objekt_name aboform_name  \\\n",
       "142760        2018-02-15  Telefonmarketing      DIE ZEIT      Festabo   \n",
       "95294         2018-04-26         E-Mailing      DIE ZEIT     Probeabo   \n",
       "100425        2017-05-04  Telefonmarketing  ZEIT Digital      Festabo   \n",
       "37221         2013-05-29            andere      DIE ZEIT      Festabo   \n",
       "22972         2013-02-07            andere      DIE ZEIT     Probeabo   \n",
       "\n",
       "       zahlung_rhythmus_name  lesedauer  rechnungsmonat zahlung_weg_name  \\\n",
       "142760       vierteljährlich         25               0         Rechnung   \n",
       "95294               jährlich         23               0       Bankeinzug   \n",
       "100425              jährlich         32               0       Bankeinzug   \n",
       "37221               jährlich         84               0       Bankeinzug   \n",
       "22972               jährlich         86               0         Rechnung   \n",
       "\n",
       "        studentenabo plz_1  ... unsubscribed_anzahl_zeitbrief_1m  \\\n",
       "142760             0     2  ...                                0   \n",
       "95294              0     2  ...                                0   \n",
       "100425             0     5  ...                                0   \n",
       "37221              0     3  ...                                0   \n",
       "22972              0     4  ...                                0   \n",
       "\n",
       "       unsubscribed_anzahl_zeitbrief_3m  unsubscribed_anzahl_zeitbrief_6m  \\\n",
       "142760                                0                                 0   \n",
       "95294                                 0                                 0   \n",
       "100425                                0                                 0   \n",
       "37221                                 0                                 0   \n",
       "22972                                 0                                 0   \n",
       "\n",
       "       openrate_zeitbrief_1w  clickrate_zeitbrief_1w  openrate_zeitbrief_1m  \\\n",
       "142760                   0.5                     0.0                    0.6   \n",
       "95294                    0.0                     0.0                    0.0   \n",
       "100425                   0.0                     0.0                    0.0   \n",
       "37221                    0.0                     0.0                    0.0   \n",
       "22972                    0.0                     0.0                    0.0   \n",
       "\n",
       "       clickrate_zeitbrief_1m openrate_zeitbrief_3m  clickrate_zeitbrief_3m  \\\n",
       "142760                    0.0                  0.92                     0.0   \n",
       "95294                     0.0                  0.00                     0.0   \n",
       "100425                    0.0                  0.00                     0.0   \n",
       "37221                     0.0                  0.08                     0.0   \n",
       "22972                     0.0                  0.08                     1.0   \n",
       "\n",
       "        churn  \n",
       "142760      1  \n",
       "95294       0  \n",
       "100425      1  \n",
       "37221       0  \n",
       "22972       0  \n",
       "\n",
       "[5 rows x 163 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# calculate sample size for 1% and 10%\n",
    "twenty_percent = df.sample(int(round(len(df) / 5)))\n",
    "print(twenty_percent.shape)\n",
    "twenty_percent.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(209043, 169)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y = df['churn']\n",
    "X = df.drop('churn', axis = 1)\n",
    "X.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pipeline(X,y):\n",
    "    \n",
    "    # devide features\n",
    "    categoric_features = list(X.columns[X.dtypes==object])\n",
    "    categoric_features\n",
    "\n",
    "    numeric_features = list(X.columns[X.dtypes != object])\n",
    "    numeric_features\n",
    "\n",
    "    # split train and test set\n",
    "    X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=1)\n",
    "\n",
    "    # defining the models\n",
    "    models = [\n",
    "        LogisticRegression(n_jobs=-1),\n",
    "        KNeighborsClassifier(),\n",
    "        SVC(),\n",
    "        DecisionTreeClassifier(),\n",
    "        RandomForestClassifier(n_jobs=-1), \n",
    "        XGBClassifier(n_jobs=-1),\n",
    "        AdaBoostClassifier()\n",
    "    ]\n",
    "\n",
    "    # create preprocessors\n",
    "    numeric_transformer = Pipeline(steps=[\n",
    "            ('imputer_num', SimpleImputer(missing_values=np.nan, strategy='mean')),\n",
    "            ('scaler', StandardScaler())\n",
    "    ])\n",
    "\n",
    "    categorical_transformer = Pipeline(steps=[\n",
    "            ('imputer_cat', SimpleImputer(strategy='constant', fill_value='missing')),\n",
    "            ('onehot', OneHotEncoder(handle_unknown='ignore'))\n",
    "    ])\n",
    "\n",
    "    preprocessor = ColumnTransformer(\n",
    "        transformers=[\n",
    "            ('num', numeric_transformer, numeric_features),\n",
    "            ('cat', categorical_transformer, categoric_features)\n",
    "        ])\n",
    "\n",
    "\n",
    "    # process pipeline for every model\n",
    "    for model in models:\n",
    "        print(f\"\\n \" + str(model))\n",
    "        pipe = Pipeline(steps=[('preprocessor', preprocessor), \n",
    "                               ('classifier', model)\n",
    "                               ])\n",
    "\n",
    "        # fit model\n",
    "        pipe.fit(X_train, y_train)  \n",
    "\n",
    "        #predict results\n",
    "        y_train_pred = cross_val_predict(pipe, X_train, y_train, cv=5)\n",
    "        y_test_pred = pipe.predict(X_test)\n",
    "\n",
    "        # print results\n",
    "        # print(\"\\nResults on training data: \")\n",
    "        # print(classification_report(y_train, y_train_pred))\n",
    "        print(\"\\nResults on test data:\")\n",
    "        print(classification_report(y_test, y_test_pred))\n",
    "        # print(\"\\nConfusion matrix on test\")\n",
    "        # print(confusion_matrix(y_test, y_test_pred))\n",
    "        # print(\"\\n\")\n",
    "\n",
    "        # plot heatmap\n",
    "        conf_mat = pd.crosstab(np.ravel(y_train), np.ravel(y_train_pred),\n",
    "                               colnames=[\"Predicted\"], rownames=[\"Actual\"])\n",
    "        sns.heatmap(conf_mat/np.sum(conf_mat), annot=True, cmap=\"Blues\", fmt=\".2%\")\n",
    "        plt.show()\n",
    "        plt.close()\n",
    "    \n",
    "    # print balance and sizes\n",
    "    print (\"Testing set has {} features.\".format(X_test.shape[1]))\n",
    "    eda.plot_train_test_split(y,y_train,y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We used a list of most common classifiers, just to get an impression of their performance on the dataset. We will use the Logistic Regression as a base model. Die Zeit Verlag Hamburg uses a similar method for their churn prediction. Also we need the overview to find the models that could handle our dataset and will improve them to use them for our best solution. These are the models: \n",
    "- LogisticRegression,\n",
    "- KNeighborsClassifier,\n",
    "- SVC,\n",
    "- DecisionTreeClassifier,\n",
    "- RandomForestClassifier, \n",
    "- XGBClassifier,\n",
    "- AdaBoostClassifier"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,\n",
      "          intercept_scaling=1, max_iter=100, multi_class='warn', n_jobs=-1,\n",
      "          penalty='l2', random_state=None, solver='warn', tol=0.0001,\n",
      "          verbose=0, warm_start=False)\n",
      "\n",
      "Results on test data:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.79      0.92      0.85     35702\n",
      "           1       0.74      0.48      0.58     16559\n",
      "\n",
      "   micro avg       0.78      0.78      0.78     52261\n",
      "   macro avg       0.77      0.70      0.72     52261\n",
      "weighted avg       0.78      0.78      0.77     52261\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n",
      "           metric_params=None, n_jobs=None, n_neighbors=5, p=2,\n",
      "           weights='uniform')\n",
      "\n",
      "Results on test data:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.77      0.84      0.81     35702\n",
      "           1       0.58      0.46      0.51     16559\n",
      "\n",
      "   micro avg       0.72      0.72      0.72     52261\n",
      "   macro avg       0.67      0.65      0.66     52261\n",
      "weighted avg       0.71      0.72      0.71     52261\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,\n",
      "  decision_function_shape='ovr', degree=3, gamma='auto_deprecated',\n",
      "  kernel='rbf', max_iter=-1, probability=False, random_state=None,\n",
      "  shrinking=True, tol=0.001, verbose=False)\n",
      "\n",
      "Results on test data:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.69      1.00      0.81     35702\n",
      "           1       0.93      0.01      0.02     16559\n",
      "\n",
      "   micro avg       0.69      0.69      0.69     52261\n",
      "   macro avg       0.81      0.50      0.42     52261\n",
      "weighted avg       0.76      0.69      0.56     52261\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None,\n",
      "            max_features=None, max_leaf_nodes=None,\n",
      "            min_impurity_decrease=0.0, min_impurity_split=None,\n",
      "            min_samples_leaf=1, min_samples_split=2,\n",
      "            min_weight_fraction_leaf=0.0, presort=False, random_state=None,\n",
      "            splitter='best')\n",
      "\n",
      "Results on test data:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.84      0.87      0.86     35702\n",
      "           1       0.70      0.64      0.67     16559\n",
      "\n",
      "   micro avg       0.80      0.80      0.80     52261\n",
      "   macro avg       0.77      0.76      0.76     52261\n",
      "weighted avg       0.80      0.80      0.80     52261\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',\n",
      "            max_depth=None, max_features='auto', max_leaf_nodes=None,\n",
      "            min_impurity_decrease=0.0, min_impurity_split=None,\n",
      "            min_samples_leaf=1, min_samples_split=2,\n",
      "            min_weight_fraction_leaf=0.0, n_estimators='warn', n_jobs=-1,\n",
      "            oob_score=False, random_state=None, verbose=0,\n",
      "            warm_start=False)\n",
      "\n",
      "Results on test data:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.80      0.95      0.87     35702\n",
      "           1       0.83      0.48      0.61     16559\n",
      "\n",
      "   micro avg       0.80      0.80      0.80     52261\n",
      "   macro avg       0.81      0.72      0.74     52261\n",
      "weighted avg       0.81      0.80      0.79     52261\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " XGBClassifier(base_score=None, booster=None, colsample_bylevel=None,\n",
      "       colsample_bynode=None, colsample_bytree=None, gamma=None,\n",
      "       gpu_id=None, importance_type='gain', interaction_constraints=None,\n",
      "       learning_rate=None, max_delta_step=None, max_depth=None,\n",
      "       min_child_weight=None, missing=nan, monotone_constraints=None,\n",
      "       n_estimators=100, n_jobs=-1, num_parallel_tree=None,\n",
      "       objective='binary:logistic', random_state=None, reg_alpha=None,\n",
      "       reg_lambda=None, scale_pos_weight=None, subsample=None,\n",
      "       tree_method=None, validate_parameters=None, verbosity=None)\n",
      "\n",
      "Results on test data:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.79      0.92      0.85     35702\n",
      "           1       0.72      0.47      0.57     16559\n",
      "\n",
      "   micro avg       0.78      0.78      0.78     52261\n",
      "   macro avg       0.76      0.69      0.71     52261\n",
      "weighted avg       0.77      0.78      0.76     52261\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None,\n",
      "          learning_rate=1.0, n_estimators=50, random_state=None)\n",
      "\n",
      "Results on test data:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.76      0.90      0.83     35702\n",
      "           1       0.65      0.39      0.48     16559\n",
      "\n",
      "   micro avg       0.74      0.74      0.74     52261\n",
      "   macro avg       0.70      0.64      0.65     52261\n",
      "weighted avg       0.72      0.74      0.72     52261\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Testing set has 162 features.\n",
      "Training set has 156782 samples.\n",
      "Testing set has 52261 samples.\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pipeline(X,y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Base model unsupervised learning: Artificial Neural Network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "# ANN\n",
    "import keras\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Dropout, Embedding, Flatten\n",
    "from keras.metrics import Recall, Precision\n",
    "from keras.callbacks import TensorBoard\n",
    "\n",
    "import tensorflow as tf\n",
    "from tensorflow.keras import layers\n",
    "from tensorflow import keras\n",
    "import tensorflow_docs as tfdocs\n",
    "import tensorflow_docs.modeling\n",
    "import tensorflow_docs.plots"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data preperation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('data/df_clean_engineered_all.csv')\n",
    "y = df['churn']\n",
    "df = df.drop(['churn','plz_3','abo_registrierung_min','nl_registrierung_min','ort'], axis = 1)\n",
    "X = pd.get_dummies(df, columns = ['kanal', 'objekt_name', 'aboform_name', 'zahlung_rhythmus_name',\n",
    "                                   'zahlung_weg_name', 'plz_1', 'plz_2', 'land_iso_code', \n",
    "                                   'anrede','titel'], drop_first = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# devide features\n",
    "categoric_features = list(X.columns[X.dtypes==object])\n",
    "numeric_features = list(X.columns[X.dtypes != object])\n",
    "\n",
    "# split train and test set\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=1,stratify=y)\n",
    "\n",
    "#create preprocessors\n",
    "numeric_transformer = Pipeline(steps=[\n",
    "    ('imputer_num', SimpleImputer(strategy='median')),\n",
    "    ('scaler', MinMaxScaler())\n",
    "    #('scaler', StandardScaler())\n",
    "])\n",
    "\n",
    "categorical_transformer = Pipeline(steps=[\n",
    "        ('imputer_cat', SimpleImputer(strategy='constant', fill_value='missing')),\n",
    "        ('onehot', OneHotEncoder(handle_unknown='ignore'))\n",
    "])\n",
    "\n",
    "preprocessor = ColumnTransformer(\n",
    "    transformers=[\n",
    "        ('num', numeric_transformer, numeric_features),\n",
    "        ('cat', categorical_transformer, categoric_features)\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "preprocessor.fit(X_train)\n",
    "X_train = preprocessor.transform(X_train)\n",
    "X_test = preprocessor.transform(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup: ANN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "154\n",
      "307\n"
     ]
    }
   ],
   "source": [
    "units = int((X.shape[1] + 1) / 2)\n",
    "input_dim = X.shape[1]\n",
    "print(units)\n",
    "print(input_dim)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "cb_epoch_dots = tfdocs.modeling.EpochDots(report_every=100)\n",
    "Recall = tf.keras.metrics.Recall(name='recall')\n",
    "Precision = tf.keras.metrics.Precision(name='precision')\n",
    "Loss = tf.keras.losses.BinaryCrossentropy(name='binary_crossentropy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_1\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "dense_1 (Dense)              (None, 154)               47432     \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 154)               23870     \n",
      "_________________________________________________________________\n",
      "dense_3 (Dense)              (None, 1)                 155       \n",
      "=================================================================\n",
      "Total params: 71,457\n",
      "Trainable params: 71,457\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "nn = Sequential()\n",
    "nn.add(Dense(units, input_dim=input_dim, activation='relu'))\n",
    "nn.add(Dense(units,activation='relu'))\n",
    "nn.add(Dense(1, activation='sigmoid'))\n",
    "nn.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is very common to use the formula: (features + 1)/2 to calculate the neuron number. So we will use an ANN with 154 neurons input layer, 154 hidden layer and one output. Adam is the basic optimizer and the combination relu, relu, sigmoid is the most recommended combination of activation functions we could find for binary classification."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Epoch: 0, accuracy:0.7275,  binary_crossentropy:0.5474,  loss:0.5473,  precision:0.5537,  recall:0.2030,  val_accuracy:0.7350,  val_binary_crossentropy:0.5368,  val_loss:0.5369,  val_precision:0.6048,  val_recall:0.3016,  \n",
      "...................................................................................................\n",
      "Epoch: 100, accuracy:0.8683,  binary_crossentropy:0.3110,  loss:0.3112,  precision:0.7397,  recall:0.5835,  val_accuracy:0.7655,  val_binary_crossentropy:0.5875,  val_loss:0.5866,  val_precision:0.7399,  val_recall:0.5839,  \n",
      "....................................................................................................\n",
      "Epoch: 200, accuracy:0.9028,  binary_crossentropy:0.2419,  loss:0.2415,  precision:0.7681,  recall:0.6474,  val_accuracy:0.7695,  val_binary_crossentropy:0.7064,  val_loss:0.7043,  val_precision:0.7683,  val_recall:0.6476,  \n",
      "....................................................................................................\n",
      "Epoch: 300, accuracy:0.9235,  binary_crossentropy:0.1969,  loss:0.1968,  precision:0.7860,  recall:0.6855,  val_accuracy:0.7607,  val_binary_crossentropy:0.8344,  val_loss:0.8296,  val_precision:0.7861,  val_recall:0.6857,  \n",
      "....................................................................................................\n",
      "Epoch: 400, accuracy:0.9397,  binary_crossentropy:0.1628,  loss:0.1629,  precision:0.7991,  recall:0.7128,  val_accuracy:0.7700,  val_binary_crossentropy:0.9613,  val_loss:0.9557,  val_precision:0.7992,  val_recall:0.7129,  \n",
      "....................................................................................................\n",
      "Epoch: 500, accuracy:0.9516,  binary_crossentropy:0.1356,  loss:0.1356,  precision:0.8095,  recall:0.7340,  val_accuracy:0.7697,  val_binary_crossentropy:1.1091,  val_loss:1.0999,  val_precision:0.8095,  val_recall:0.7340,  \n",
      "....................................................................................................\n",
      "Epoch: 600, accuracy:0.9604,  binary_crossentropy:0.1141,  loss:0.1141,  precision:0.8180,  recall:0.7512,  val_accuracy:0.7719,  val_binary_crossentropy:1.2657,  val_loss:1.2567,  val_precision:0.8181,  val_recall:0.7512,  \n",
      "....................................................................................................\n",
      "Epoch: 700, accuracy:0.9685,  binary_crossentropy:0.0956,  loss:0.0955,  precision:0.8254,  recall:0.7655,  val_accuracy:0.7686,  val_binary_crossentropy:1.4304,  val_loss:1.4201,  val_precision:0.8254,  val_recall:0.7656,  \n",
      "....................................................................................................\n",
      "Epoch: 800, accuracy:0.9740,  binary_crossentropy:0.0815,  loss:0.0814,  precision:0.8317,  recall:0.7778,  val_accuracy:0.7703,  val_binary_crossentropy:1.6112,  val_loss:1.5984,  val_precision:0.8317,  val_recall:0.7779,  \n",
      "....................................................................................................\n",
      "Epoch: 900, accuracy:0.9806,  binary_crossentropy:0.0662,  loss:0.0659,  precision:0.8374,  recall:0.7884,  val_accuracy:0.7655,  val_binary_crossentropy:1.8080,  val_loss:1.7941,  val_precision:0.8374,  val_recall:0.7884,  \n",
      "...................................................................................................."
     ]
    }
   ],
   "source": [
    "adam = tf.keras.optimizers.Adam()\n",
    "nn.compile(loss=\"binary_crossentropy\", \n",
    "           optimizer=adam, \n",
    "           metrics=[Loss, Recall, Precision, 'accuracy'])\n",
    "\n",
    "nn_history = nn.fit(X_train, y_train, validation_data=(X_test, y_test), epochs=1000, \n",
    "                    batch_size=1024, callbacks=[cb_epoch_dots],verbose=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred_proba = nn.predict(X_test)\n",
    "y_pred = (y_pred_proba > 0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.84      0.81      0.83     32170\n",
      "           1       0.60      0.65      0.63     13995\n",
      "\n",
      "    accuracy                           0.76     46165\n",
      "   macro avg       0.72      0.73      0.73     46165\n",
      "weighted avg       0.77      0.76      0.77     46165\n",
      "\n"
     ]
    }
   ],
   "source": [
    "conf_matrix = confusion_matrix(y_test, y_pred)\n",
    "print(classification_report(y_test,y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(7,5))\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "metrics = ['Accuracy', 'Recall', 'Precision', 'f1']\n",
    "scores = [0.76, 0.65, 0.60, 0.63]\n",
    "ax.bar(metrics, scores)\n",
    "ax.set_ylabel('scores',fontsize= 16)\n",
    "ax.set_xlabel('Metric',fontsize= 16)\n",
    "ax.set_title('Baseline ANN')\n",
    "for i, v in enumerate(scores):\n",
    "    ax.text( i ,v, str(v), color='black', fontweight='bold', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[26064,  6106],\n",
       "       [ 4857,  9138]])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x504 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "group_names = ['True Neg','False Pos','False Neg','True Pos']\n",
    "group_counts = [\"{0:0.0f}\".format(value) for value in\n",
    "                conf_matrix.flatten()]\n",
    "group_percentages = [\"{0:.2%}\".format(value) for value in\n",
    "                     conf_matrix.flatten()/np.sum(conf_matrix)]\n",
    "labels = [f\"{v1}\\n{v2}\\n{v3}\" for v1, v2, v3 in\n",
    "          zip(group_names,group_counts,group_percentages)]\n",
    "labels = np.asarray(labels).reshape(2,2)\n",
    "sns.set(font_scale=1.6)\n",
    "fig, ax = plt.subplots(figsize=(8,7)) \n",
    "sns.heatmap(conf_matrix, annot=labels, fmt='', cmap='Blues',annot_kws={\"size\": 16})\n",
    "plt.title('Confusion Matrix: NN', fontsize = 16); # title with fontsize 20\n",
    "plt.xlabel('Predicted', fontsize = 16);\n",
    "plt.ylabel('Actual', fontsize = 16);\n",
    "conf_matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plots over epochs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(nn_history.history['loss']) \n",
    "plt.plot(nn_history.history['val_loss']) \n",
    "plt.title('model loss') \n",
    "plt.ylabel('loss')\n",
    "plt.xlabel('epoch') \n",
    "plt.legend(['train', 'test'], loc='upper left') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CG3iiVinQ6Y08O+NXAFRKRWUVr0wiGFWi4qo5ofqJ7164VxiMJmQy0OqMrNl5BoVcxrGUa1zKLLjtcdl5ulL3ubmoaBzgQWgDDwCKtEb8vF14oHkACrmMi5n5OKkUzFt7hPEDmuPv5Wo5tnu7hlbnUqsUNG/sTVgDz39QyooTwUgQBKES6G5UkRXpjOj0Ri5dK+DHfecAaOjvRqCvG5v3ni0z6JSme9sglAo5fl4uRATVwd1VRfr1QtQqBQ3q3r56OtDXDYA3R7cr17WmDG15R3n8J0QwEipEkiTxFiLUatdztVzIyKN5Yx8AMrILycgqYt66I5ZqsFsdP3v9tues6+nMxIHRpF3Jo02kH9sPXKBNpC8bdqXw+9HLTHmsBVGNvW3+9hoHqCqnUHcBEYyEcjt6NJG5cz9m/vzP//G5DhzYz/PPP8ubb75D1649KiF3glD5MrIKOXk+Cz8vVwJ8XPlpy3FW/nwSAL86LlzJKizXeR5qWZ8ivZGoYG/+TsuibaQfB09lsOPgBQCe7dechv7uNPR3B6Bne3PV2VO9IunSJpDgeh5VULq7iwhGQrlt2LCWkydPVMq5wsMjmTdvMY0aBVfK+QThTun0RnYevkg9H1cOncpg77F0lEo5Ofmlt9EAdgNRmwhfHu8ewZdbTnAxI5+JA6Px9XLBSXWzI8AD0QEARIf4MLxrE46mXCOkvv1go1TIa0UgAhGMBAdxc3OjRYuWjs6GUEvk5Otwc1WRkVXItj/P0+m++qgUctbsPMP+E1dsD9DaP08DXw0aZxUvDI5BqZBxPVeLn5cr+UV6jCYJD1dzj9rnB8eUK19KhZyWYXXvtFg1ighGQrlMnDiOQ4cOANCxYxtGjRrL0qWLGDFiFH//fYLDhw8QFRXNnDnzyci4yuLFi9i3bzdXr15BpVITFtaEp556mvvv7wDYVtNt3ryRd999i4ULv2Dp0kUcOnQQuVxGu3axvPDCVOrW9XVk8YV7TE6+jtwCHTKZjNcW77PZn3DgfKnH+nu7kn7N3MlgQFwI3u5O1HFz4szFbEb3j+Hq1Zujbvxu9ErTONecthtHEcFIKJfJk1/ms8/m8Ndff/Lxx5/h71+PpUsX8e23X/PoowMYOnQ4JpMJnU7HhAnj0OsNjBo1Fn//ely6dJGvv17Kq69OY/XqjXh5eZd6nVdemUqfPo8yZEg8ycmnWbhwHgUFBcyYMacaSyvcK86l57J571l0ehMaZyW/H71coeObh3gz4MEQjCaJ7DwdJ9OyiO/aBIPRhFJhPXVnVOPSf2+Ff04Eoyr2W+JFfj140dHZsOgYE2Cps66I0NAwvLzMvXlKVq/5+9fjxRenIZeb/3BPnTqJp2cdJkx4nujoFpZ0Go2G119/hSNHEomLe6jU6zz66ADGjHkWgHbt7uf06ZNs3bqFoqIinJ2dK5xv4d53PVeLQi7D1VnJibPXWfHLaQqK9NwX7sv2AxdKPc7VSUmB1ty77b1x96NSyvF0U6OQy1m08Rh7jqUzvl9zXJxu3gZbR5jfwG8NRELVE8FI+EdCQkItgQigSZNwFi1aisFgIiPjKhcunOf8+TR++20nAHr97RuFW7ZsZfU5IKA+kiRRWFggglEtIEkSV7MKSbuST2Z2ISt+OV1q2lsD0etPtaFAayAp5Rp9YoNxdVZyMi2Lk2lZ+Hu7WqUd2SuSvg80tgpEgmOJn0QV6xhTn/ub1XN0NqqMt7ePzbYNG9bxxRdLuHTpIhqNhpCQUOrW9QPMN5vbcXZ2sfpcPK6its18XtMV6Qxk5+nw83Lhhz1nOXTqKoG+buxKvFSu41uH+/LXSfPkuM88GkWzYC/cb3QeiAq+WZ0WHlSH8KA6NserlArq3RKgBMcSwUioVAkJ23jvvf8SHz+CwYOH4u9vDsS7d//G9u0/Ozh3giMVag3sO55Ou0g/3l92kPNX86z2p1y62THAt44zD8bU59dDF5GQGPZwEyIbeSG/MebT1VlF+rUCfvzjHK0jfEW1Wg0ggpFQbiWr40pT3ONuzJhncHK6Wa3222/miRdNptu/GQn3PpNJYsu+s2TmaAmu507CX+dJu3Iz8Hz1499W6WNCfVAp5BhNEj3aBRFS3wOFQo5cJuORDsGlXsff25WnekZWVTGEaiaCkVBu7u4e6HQ6tm37kWbNmttNEx0dw7p13zF9+jv07NmHoqIiEhJ+4pdfzG9FRUXlG7Eu3Dv0BiMXMvJJS8/j0OkMDp7KsJvO38sFvdHEtRzzIJ5Pp8Rx/mo+gb4anNXiVlTbid8AodweeaQff/yxh3feeZO+fQfYTdO9ey8yM6+ybt0aduxIwMPDk4iISBYsWMpLL73AoUMHePRR+8cKd7+zl3PZfvA8kQ29WLjxl3IdExPqwwPRAbSNNLcbvrHkDy5czcNZraz2maGFu5dMKqtFWQAgMzPvtlVMly+fpV69RjbbxUqv1ae0n0F18PV1txoMWROYTBJT5/1ObFQ9FAoZJ85dJ/lCTpnHtQj1YdLgGOQymd2JdfUGI0aTdE++DdXEn3NZ7rTMcrkMHx+3cqe/934bBEGoEut2nqGBr4bsPB2pl3NJvpBNdr6OH/84Z5WueJG2IH833niqDcu2nSLIV0ObSD8kCTw0NxeZtDfDu0qpQMxXINxKBCNBqIUOnc5g6x/naBlWl9BAT+auPXLbxdsefSCYXYmXeDAmgEc7NsZoNFE/oA5Xr+byZI+Iasy5UFM5PBgdPHiQmTNncuzYMVQqFXFxcbz88sv4+pY+F1lWVhZz5sxh586dZGRkEBISwpNPPkn//v2t0i1dupT333/f5nh/f3927txZ2UURhLuS0WRCIZdzMSOfeeuOWC3uduJclt1jHn0gmO9/T6VL60Ae7xYOwCMdgi1dqOXVuBy1UDs4NBgdP36cUaNGER0dzfTp08nMzOTjjz8mKSmJdevWoVarbY7Jy8tjyJAhZGRkMHbsWJo3b05iYiJvvPEG58+fZ+LEiZa0x44dIzAwkOnTp1udw955BaEmySvUo1LK2ZeUzhdbyl72IzzQkwkDo7mUkW8ZJNq0kRdNSgwYFWN5hKrk0GA0e/ZsPD09Wbx4MU5OTgA0a9aMIUOGsGbNGuLj422OWbNmDefOnWPWrFn07t0bgLi4ONzd3fnggw/o168fQUFBgDkYtWjRgjZt2lRfoQShGhX3P5LJZOw9dpkLGfnsPnqZ67mlrIFQwn9GtsXH05mf96fRMToAD1c1Hg1vPqhFNPSqsnwLwq0cFox0Oh27d+9m8ODBlkAEEBMTQ3BwMAkJCXaDUXJyMjKZjC5dulhtj42NxWAwsGPHDkaMGEFBQQGpqakMHjy4yssiCNVNkiS+2XbSMj9bPW9XLl8ruO0xzw+OoWlDL8bP/JXgeu40qmdeVbT/gyFVnl9BKIvDglFaWhparZbQ0FCbfY0bN+bECftVC15eXkiSxIULFwgJuflHdO7cOav/JyUlYTKZSEpKonfv3pw9exZvb28GDBjAxIkTRVWdcE/R6o0cPHmVmFAfdiVe4sc/zll1OCgZiP49ojVhDTzZc+wy9X00+Hu7oNWb8LzRy+2NkW2o6+licw1BcCSHBaPcXHO/dTc3237oGo3Gsv9W/fr14/PPP2fKlCm8+eabhIWFceTIEaZPn45cLqegwPxHmZSUBMDZs2eZMmUKGo2GnTt3smTJEk6ePMn8+fMrlN+y+stfuSJHqbRfp17a9prMEWWWy+X4+rpX+3WLVea109JzUSnlOKkVfPTNXySetj+rQaN67py9fPNvxUOjJrZlIACPPmQ/P5WZT0d+344iylw1HBaMimdhtjcOAUqfBy0kJITFixfzxhtvMHToUAB8fX157bXXmDJlCi4u5ie+bt26ERgYSGxsrGVbbGwsrq6uzJ07lz///JO2bduWO79lDXo1mUx2B3qKQa/Vx2QyOWxAYmUMhtxx8AJ/HE8noqEXG35LKTWdj4cz9etqiGsRQOsIP9Ku5HH87HU631cfmUxWbd+BGABaO9T4Qa+enuZpQOy9AeXn5+PuXnokbt++PT/99BPp6enk5+fTqFEjLl26hNFopE6dOgAEBAQQEGC7iFyXLl2YO3cuSUlJFQpGglAVTJKEXCZj3c4zbNydCth2t27e2Lyo4bAuYfh4OKNWWXerDvJzI8iv/H/0gnA3clgwCgoKQqVSkZqaarMvJSWFsLAwu8ddvnyZ33//nW7duuHv72/ZfvToUQCio6MB2LFjB5mZmQwaNMjq+MJC80Sd3t5iCeE7YW96l3vh3HcLSZK4cDWfoynXWLfrDHqDiQAfV6uxP8XefzaWuh7OyOU1+zsRBACHNWao1Wo6dOhAQkICRUVFlu2JiYmkpqbSqVMnu8dlZ2fz73//m61bt1q26fV6vvzyS7y9vS1vO9u3b+fVV18lJcW6umPDhg2o1WrR3fsOHD2ayPjxT1f6eXNzc5k+/R127Eio9HM7msFo4vSFbK7navnr76s8PX07b3z+B6u2n0Z/oyqzZCB6skcEn03pxOtPtcGvjosIREKt4dBxRpMmTSI+Pp6RI0cyatQosrOzmTlzJmFhYZYu2ampqWRkZBATE4NarSYiIoKOHTvy0UcfIUkSfn5+fP311xw8eJAPPvgAV1fz6o1jxoxhy5YtjB07lgkTJuDt7c1PP/3E2rVreeGFF+xW4Qm3t2HDWk6eLHsAZUWdOvU3Gzeuo3XrmvOAIEkSyRdyePebv+zur+OmZnjXcELqe+CkVrDr8CU6xgTg5mKeta1xgEd1ZlcQHM6hwSg6OpolS5Ywa9Yspk2bhkajIS4ujmnTplnGHs2fP59169aRkJBAYKC5l9CsWbOYMWMGs2fPJj8/n8jISBYsWGD1NhUUFMS3337L7NmzmTlzJtnZ2YSEhPDOO++IsUdCldAbTKiUcj789iDHz14vNV3H6ABG9o5EXqJKsmf7htWRRUG4a4klJMqpti8hMXHiOMsqrgCjRo3l6aefYf36Naxb9x1paefQaNzo2LETEydOQqO5+WS/YcNa1q5dxfnzaahUKpo1i2b06HE0bx7N5s0beffdtyxp69ULYPXqjXeUR0csIWEwmvg7LYsjKdfZuu+szf7YKH/q+WgIq++Bp5sTx1Ku0a1tULXmsaqInmW1Q3X1phPBqJxqezBKTj7NZ5/N4a+//uTjjz/D378eq1evYOXKZTz66AA6dozj4sWLfP75Anx86rJgwRe4uLiQkLCN//zn/xg+fARt27YnLy+PL75YwsWLF1i1aj0ACQlb+fjjjxg9ehwdOnQkMrLZHeWxuoKRVmfESa3gh92prN15xm6ahn5udIwJoGubmhF47BE35tqhxnftri20J35De/xXR2fDQhURhyr8gQofFxoahpeXuYtxixYtuXDhPKtWLad//8FMnfovS7rmzWMYM2YE69Z9x/DhT3Lw4H5cXFwZM2a8ZdaLkJAwNm5cT15eHkFBDQkJMfecbNiw0R0HoqomSRIHTmbw2fqjmOw8v/l4OpOZbe6IM2lQNC3C6lpVwwmCcHsiGAl3ZP/+PzCZTHTq1BmDwWDZHhoaRlBQQ/bu3c3w4U/Svn0s69ev4cknh/LQQ11o06Yd0dEtmDjxRcdlvhyu52o5lnKNOu5qruVoUSnlLNqYZJNu2MNhdGrZgHr1PBjw8kYealmf+5qUvvyJIAj2iWBUxZwiO6II6+DobFS6rCxzA/2LL06wu7+4SvPBBx/igw8+Zu3aVXz33bd88425+q5r15688MJUnJ2dqy3P5SFJEgVaA28u/YPcAr3N/lefbE09b1dWJpzmkQeC8atjnt1DqZAz54UHcXES6/wIwp0QwUi4I+7u5g4Kb7/9PvXr17fap1DIkctv/mp16NCRDh06otfrOXbsCFu3buH779fh7u7GhAkvVGu+b+fvc9f5+LtEtHqj3f0uTkpCAjyQyWSM7tPUZn9xt2xBECpOBCOh3ErOF9i6dVtkMhnp6Zd5+OGulu15eXm89trLtG3bntDQMN599y1SUpJZuPBLVCoVLVu2omXLVvzyyzYuXjQvf6BQOOZt4lx6LnuT0snMLuLPE1es9mmclYQ28CQxOROAJf/qDJQ+l6IgCP+MCEZCubm7e6DT6di27UeaNWvOgAGDWbhwHteuZdK6dVvy8nJZvvxrUlPPMGrUOADatbufzZs38vrrr9Cr1yPI5XJ+/vlH8vLy6Nat143zmuch3Lt3N35+/sTEtKyyMvx97jpHU66x99hlMnPsL0A3bVhLwgI9USkVXMrMp0hnFEFIEKqYCEZCuT3ySD/++GMP77zzJn37DmDKlJdp1CiYDRvWsnr1ClxdXYmMjOKll/5Fs2bmOQK7du2BySTx3XfLefvt1zAYDISEhPHf/75Pp07mt43g4BB69OjN9u0/s2fPb6xf/yMqVeVXeRmMJqYvP1jq/vua1OXZfs1RlVj+IsBHU+n5EATBlhhnVE61fZxRRTiqzPZ+BlezCvl6698cPXPNaruPhxMh9T05cPIqD7cKJL5rk390bTH+pHYQZS4/Mc5IEICCIgM//5XG+l226wL99+l2NPA1/5HUhpnCBeFeIIKRUGNIEpw6n8WP+85x8NTNlVEjgurQPsqf77afxreOiyUQgeiQIAh3CxGMhHueJEmcv5JHdk4RM9clW+1rE+nHsIfD8PZwpmO0mKldEO5WIhgJ9yyTSSIzp4j8QuvBqeP7N+d46jWSL+YwoX9zy3alwmHLdwmCUAYRjIR7TpHWwOVr1iujKhVyXJ2UzJsch4uTkraRfg7KnSAId0IEI+GeYTCauJpViFZnPUOCt4czHho1ly9n4uIkfqUF4V4k/nIrkeiZVfl0eiO5BXp0BqMlCMlkMpQKGf7erhiNEk5qBWKEgiDc20QwqiQKhRK9Xoda7eTorNQIRpMJnd5E+i3Vcd4ezri5qizLMyhvzCSk1+tQKMSvsyDcq8RfbyVxc6tDVtZV6tTxRaVSizekf8BgNHH+Sp7Ndn9vV5tqOEmS0Ot1ZGVdxd3dq7qyKAhCJRPBqJK4uJinjcnOzsBovLm+j1wux2SqXTMw3GmZjUYJg9FEXqGe4ko3Z5WCIr0RVycl2deVZNs5TqFQ4u7uZfkZCIJw7xHBqBK5uGhsbohi+pCynb+Sx9qdZzh02jxQ1c1FxYMtAgir70nzEF8Kigw4OynEyqmCUIOJYCQ4TEGRgQ+WH+BciSq5+nU1vDgkhrqeLpZtrs7i11QQajrxVy5UO5MkMWPFIY6fvW61fe6LcSLwCEItJf7yhWp1LaeIT9Ye4ezlm9V4Pds1ZPBDocjlohpOEGorEYyEanM0JZOZKw9bPstlMp5+pCmxUfUcmCtBEO4GIhgJVS79egHz1h7l/FVz29CgTiH0ut+87pDolCAIAtwFwejgwYPMnDmTY8eOoVKpiIuL4+WXX8bX17fUY7KyspgzZw47d+4kIyODkJAQnnzySfr372+VLjc3lxkzZpCQkEBOTg7h4eFMmjSJuLi4Ki6VAOa2oYzsIv5vwV5kMmjgq2F4lyY0DfZ2dNYEQbjLODQYHT9+nFGjRhEdHc306dPJzMzk448/JikpiXXr1qFWq22OycvLY8iQIWRkZDB27FiaN29OYmIib7zxBufPn2fixImAeTDkM888w6lTp3jxxRfx9/dn+fLlPPvssyxdupT27dtXd3FrDZNJYv+JK3y6/qhl2/Cu4XRpHejAXAmCcDdzaDCaPXs2np6eLF68GCcn8zQ6zZo1Y8iQIaxZs4b4+HibY9asWcO5c+eYNWsWvXv3BiAuLg53d3c++OAD+vXrR1BQEFu3buWvv/5i/vz5dO7cGYCHHnqIQYMGMWPGDFatWlV9Ba1FTJLENz8e57uEU5Zt8V2b8HCrBg7MlSAIdzuHLfCi0+nYvXs3Xbp0sQQigJiYGIKDg0lISLB7XHJyMjKZjC5dulhtj42NxWAwsGPHDgB27NiBm5ubVZWcUqmkV69eHD58mIyMDITKI0kS89YeYcz07ZZA1LdDMK+OaE23NkFieiRBEG6rQsGoR48eLFiwgEuXLv3jC6elpaHVagkNDbXZ17hxY06fPm33OC8vLyRJ4sKFC1bbz507Z/X/5ORkgoODUSgUNucGOHXqFELlMEkS8zcc46+TVy3bPprQgQFxIYQ28HRgzgRBuFdUKBip1WpmzZpFly5dGD16NN9//z1FRUV3dOHcXPM4Ezc3N5t9Go3Gsv9W/fr1Q61WM2XKFA4dOkReXh579uxh+vTpyOVyCgrMszzn5OTg7u5uc3zx9fLybCfiFCruUmY+U+b+zp8nruDj4cQH42PZ8OGjeHs4OzprgiDcQyrUZrRx40aOHz/O+vXr2bRpEy+//DJvvfUWPXv2ZMCAAbRp06bc5yqeSLO06hu53H6cDAkJYfHixbzxxhsMHToUAF9fX1577TWmTJmCi4t5Gpmy1haqaLWRj49t0CwvX1/boHgvkySJ81fymLf6MMfOZALQtpk/r45qj+LGwNWaVubyEGWuHUSZq0aFOzA0bdqUpk2b8q9//Ytdu3bx/fff8+OPP7J27VoCAwPp378//fv3p0GD2zdYe3qaq2/svQHl5+fbfasp1r59e3766SfS09PJz8+nUaNGXLp0CaPRSJ06dQDw8PCwe+7iN6Lbnd+ezMw8TKaKL+BWEydK3bL3LN/tSAZABvRo35CBcSFcyzR/tzWxzGURZa4dRJnLTy6XVegh/o47MMjlcjp16sSMGTPYunUrjz76KGlpaXzyySd069aNcePGcejQoVKPDwoKQqVSkZqaarMvJSWFsLAwu8ddvnyZNWvWkJOTg7+/PyEhISgUCo4eNXcjjo6OBiA0NJRz587ZrACakpICUOr5hdJdzSrkrS/+tAQigHefuZ/HOoehVDisL4wgCDXAHd9BCgsL2bBhA2PGjKFTp05s2LCBhg0b8sILL/DCCy+QkpLC8OHDWbNmjd3j1Wo1HTp0ICEhwardKTExkdTUVDp16mT3uOzsbP7973+zdetWyza9Xs+XX36Jt7c3bdu2BaBTp05kZ2ezc+dOSzqDwcDmzZtp3rw5Pj4+d1r0WsdoMvHD7lT+NX+PZU65AQ82ZsFLnfD3cnVw7gRBqAkqVE1nMpn47bff+P7770lISKCwsBBXV1ceffRRBg4caNVmVDwjwpw5cxg0aJDd802aNIn4+HhGjhzJqFGjyM7OZubMmYSFhTF48GAAUlNTycjIICYmBrVaTUREBB07duSjjz5CkiT8/Pz4+uuvOXjwIB988AGuruabY/fu3WnevDmTJ0/mxRdfpH79+ixfvpzk5GQWL158p99XrSNJEp+sOUJisrltyMvdienPxoo3IUEQKlWFglFcXByZmTcarNu2ZeDAgfTo0cPSaaAkFxcXoqKi2LNnT6nni46OZsmSJcyaNYtp06ah0WiIi4tj2rRplrFH8+fPZ926dSQkJBAYaB7BP2vWLGbMmMHs2bPJz88nMjKSBQsWWL1NKRQKFi9ezAcffMC8efPQarVERESwYMECYmNjK1LsWm3vsXRLIBrWpQn3R/mLQCQIQqWTSbc2qtxGly5dGDBgAAMGDCizgwLA/v370Wg0NG3a9B9l8m5Q2zowXMspYtm2kxw8ZR4c/PbT7Qj0LV9j5L1a5n9ClLl2EGUuv4p2YKjQm1HxrAjZ2dmYTCZL9+u///4bX19fvL2tJ8CsSFdv4e6xN+kyC79PstpW3kAkCIJwJypc3/LBBx/QsWNHzp49a9m2ePFi4uLiWLRoUaVmTqh+CX+dtwSivh2CGRgXwti+zRycK0EQaroKvRktW7aMzz//nAceeMDSUQDgscceIzc3l5kzZ1K/fn369OlT6RkVqtbVrELW/JrMH8evAHB/lD8D4kIcnCtBEGqLCgWjlStX0rlzZz777DOr7W3btqVt27aMGzeOpUuXimB0j8nO0/Kv+Tc7mkwcGE10iFhzSBCE6lOharq0tDTLcgz2PPzwwyQnJ5e6X7j7XM/VMnnu75bPrzzeilbhvqiUitscJQiCULkq9Gak0WhsZssu6erVq3YXxBPuTnuOXWbRxpsdFd4a3Y4gP9FRQRCE6lehN6P27duzfPlyu8s7pKWlsWzZMrGC6j1k1S83f46fv/KwCESCIDhMhd6MnnvuOX755Rf69+9P586dadSoEU5OTqSmprJ9+3YkSeL555+vqrwKlWTJD0n8fvSyo7MhCIJgUaFgFBISwrJly3j33Xf5+eefrSYhbdGiBa+99pqYgPQul5ldZBWIGvq7MbxruANzJAiCcAdLSDRr1oxvvvmG69evc+HCBYxGIw0aNKBu3bpVkT+hEu1LSmfB98csn99/NhYfDycUpawdJQiCUF0qHIyKeXl54eXlZbNdp9OJTgx3Ib3BaBWIPDRq/OrYzikoCILgCBUORgcPHmTz5s0UFBRYVmsFMBqN5ObmcuDAAfbt21epmRT+uVXbb3a5j+/ShK5tAh2YG0EQBGsVCkabN29m6tSplrYimUxm1W6kVCpp0aJF5eZQ+EfyCvX85/M/uJ6rJTzQk1eeaO3oLAmCINioUGPBl19+iZeXF0uWLGHhwoXIZDLWr1/PqlWr6N27NzKZjNdee62q8ipUkNFk4qMVB7meqyXAx5UxYo45QRDuUhUKRqdOnWLYsGE88MADdOzYEaVSyYULF4iJiWHGjBmEh4fbTBUkOM72Axc4l56HQi7jnbH3U9dTtBEJgnB3qlAw0ul0lnWM5HI5DRs25MSJE4C5yq5Pnz4cPXq08nMpVEh+kZ75G46y/OdTAPyfqJoTBOEuV6E2Iz8/PzIyMiyfGzRoYDUbg7u7u2UlWMFxPlpxiLOXc9E4K5k0KIaQ+h6OzpIgCMJtVejNqF27dqxcuZKUlBQAmjZtyp49e7h+/ToAu3btwsfHp/JzKZRbZnYRZy+bV2V89ck2hAfVcWyGBEEQyqFCwWjcuHFkZ2fTp08frl27xmOPPUZ+fj69e/emb9++bNu2jS5dulRVXoUyGIwmZqw8BMB/Rralnrfr7Q8QBEG4S1QoGIWEhLBu3TqeeOIJvL29qV+/PgsWLMDNzY3Lly/Tt29fJk+eXFV5Fcrww+5ULl8r4LHOYTSq5+7o7AiCIJRbhdqM9u/fT0xMDP/+978t2zp06MC2bdsqPWNCxSQmZ/L976kAxDav59jMCIIgVFCF3owmTZrErFmzqiovwh1KvpDNx98dBuCFwTF4asR0TIIg3FsqFIwKCwtp3LhxVeVFuAMXM/KZu+4IAM8PjqFFmJiwVhCEe0+FglHfvn35+uuvSUtLq6r8CBUgSRLf/nySQq2BN0e1paUIRIIg3KMq1GakVqu5cOECPXv2JDg4mLp166JQKKzSyGQylixZUqmZFOy7fK2AY6nX6dm+IQ39RYcFQRDuXRUKRsuWLbP8Ozk5meTkZJs0Mpnsn+dKKFN+kZ6PVhxCBjwYE+Do7AiCIPwjFQpGxVP/VKaDBw8yc+ZMjh07hkqlIi4ujpdffhlfX99Sj9HpdCxatIjvv/+e9PR0AgICGDJkCE8++SRK5c0iLV26lPfff9/meH9/f3bu3FnpZakuRpOJlz/bQ6HWQP+OjQnw0Tg6S4IgCP/IHS+uVxmOHz/OqFGjiI6OZvr06WRmZvLxxx+TlJTEunXrSl2k7+2332bNmjWMGzeONm3asH//fj788EOuXLnCK6+8Ykl37NgxAgMDmT59utXx9/rif+t2plCoNeDj4cwjHYIdnR1BEIR/rELBaOPGjeVK17dv33Klmz17Np6enixevBgnJyfAvKz5kCFDWLNmDfHx8TbHaLVa1q1bR//+/S0DbB988EEuXbrEsmXLmDp1KiqVCjAHoxYtWtCmTZty5edeIEkSOw9fpFmwF1OHthTVooIg1AgVCkbTpk0r182vPMFIp9Oxe/duBg8ebAlEADExMQQHB5OQkGA3GOn1eoxGIx4e1pN/+vj4oNPpKCgowNPTk4KCAlJTUxk8eHA5SnZvkCSJZz7agcEo0TbSTwQiQRBqjAoFo/fee89mm8FgICMjgy1btmAymXj33XfLda60tDS0Wi2hoaE2+xo3blxq+5SbmxuPPfYYq1evpkOHDrRu3ZqDBw+yatUqevTogaenJwBJSUmYTCaSkpLo3bs3Z8+exdvbmwEDBjBx4sR7sqruYmYBBqN5Zd0HokWnBUEQao4KBaMBAwaUuu/pp59m2LBhJCQkEBMTU+a5cnPNM0u7ubnZ7NNoNJb99kyePJmUlBTGjRtn2dauXTurzgpJSUkAnD17lilTpqDRaNi5cydLlizh5MmTzJ8/v8w8luTjY5vP8vL1rZxu12t3pVj+HVDPs1LOWVUqq8z3ElHm2kGUuWpUWgcGtVrNgAEDWLJkSbkmSzWZTEDpXcHlcvvjca9du8aQIUPIz8/n9ddfJyIiglOnTvHpp5/y1FNP8fnnn+Pu7k63bt0IDAwkNjYWFxfzCqexsbG4uroyd+5c/vzzT9q2bVvu8mVm5mEySeVOX8zX152rV0sPrOV1Mi2LH35PISrYi1G9m1bKOatKZZX5XiLKXDuIMpefXC6r0EN8hWZgKIvRaOTatWvlSltcnWbvDSg/Px93d/uRePXq1Zw/f56PP/6YJ554grZt2zJ8+HAWL15MYmIiX3zxBQABAQE8/PDDlkBUrHiJi+I3p3vF+8sOANDz/kZ4ezg7ODeCIAiVq1KCkSRJHDlyhC+//LLcc9cFBQWhUqlITU212ZeSkkJYWJjd486fP49MJrPpIRcZGUmdOnUsbU07duxgzZo1NscXFhYC4O3tXa583g3+OJ4OQB03Nc0aeTk4N4IgCJWvQtV0UVFRdqvVjEYjYA5K5V3PSK1W06FDBxISEpg6dSrOzuan/cTERFJTU3nyySftHhcWFoYkSfz555/ExsZatp84cYKsrCwaNmwIwPbt21m5ciWtWrWyCpAbNmxArVbfM929JUniu+3J1PN2ZVr8faIHnSAINVKFglGrVq3sn0SpxM/Pj/79+1sFiLJMmjSJ+Ph4Ro4cyahRo8jOzmbmzJmEhYVZumSnpqaSkZFBTEwMarWawYMHs2LFCl588UXGjx9PREQEZ86c4bPPPsPX15dRo0YBMGbMGLZs2cLYsWOZMGEC3t7e/PTTT6xdu5YXXniBgIB7ozfaqfPZZOYU8XSfpni5O5V9gCAIwj1IJklSxVvlK9G+ffuYNWsWSUlJaDQaHnzwQaZNm2aZDuiVV15h3bp1JCQkEBgYCEBWVhZz5szh559/5tq1awQEBNChQweef/55fHx8LOdOTk5m9uzZHDhwgOzsbEJCQhgxYsQdjT1yRAcGSZJ464s/uZ6r5f1nYnFxcuiEGeUmGnlrB1Hm2qG6OjBUOBjl5eWxYcMG+vfvj0ZjnhPt22+/RavVEh8fbzWAtSZxRDA6fDqD2asTebxbOF1aB97RORxB/MHWDqLMtcNd2ZsuPT2dQYMG8b///Y8zZ85Ytu/fv5/333+f+Pj4244PEipmy96zuLmouD/K39FZEQRBqFIVCkaffPIJV65c4cMPP6RZs2aW7R999BGzZ88mJSWFefPmVXoma6NLmfmcPJ9Nj3ZBaJxVjs6OIAhClapQMPr9998ZMWIEjzzyiNWiejKZjB49ehAfH8/PP/9c6Zmsjb7bnoxSIadjTH1HZ0UQBKHKVSgYFXcWKE3Dhg25cuXKP85UbZeZXcTh0xn0at8QT829N4eeIAhCRVUoGDVo0IC9e/eWuv+vv/66Z7pM380+WZuIhFjBVRCE2qNCwahPnz5s3bqVmTNnWnVUKCwsZMmSJfzwww/07t270jNZm6RfL+Bceh4NfDXUreNS9gGCIAg1QIUGrowdO5Y9e/awcOFCFi1ahLe3N05OTly5cgWDwUCrVq149tlnqyqvtcLRM+a5/SYOjHZwTgRBEKpPhYKRWq3mq6++Yt26dWzbto0LFy5gMBi4//776dq1K4MGDbKssipUXHaelmXbTgLg7+Xq4NwIgiBUnwoP6ZfL5QwaNIhBgwZZthUVFVnmlhPu3NEU81tRTKhPGSkFQRBqlgrP2r19+3YGDRrE5cuXLdv+97//0a9fP/76669KzVxtc+p8NjKZqKITBKH2qVAw+u2333juuedIT0+noKDAsr1p06Zcv36dkSNHcuTIkUrPZG1QUGRg/4kr3N/MH6WiUpeZEgRBuOtV6K63YMECQkND2bJlCyEhIZbtjz/+OJs2bSI4OJg5c+ZUeiZrg12JFynQGujc6t6Zg04QBKGyVCgY/f333wwbNszuKqzu7u4MHjxYvBndoXPpeXi5OxHWwNPRWREEQah2FQpGkiRZVc/dymg0otVq/3GmapvUyznsOXaZkPoejs6KIAiCQ1QoGEVFRbFmzRq7AUen07F+/XqioqIqLXO1RVLqdQB6tW/k4JwIgiA4RoW6do8ePZpnnnmGRx99lCeeeIJGjRrh5OREamoqK1eu5NSpU3z66adVldca61JGPp4atXgzEgSh1qpQMIqLi+Ott97i/fff55133kEmkwHm6jtnZ2def/11OnfuXCUZramuZhXy+9HLhAWKtiJBEGqvCg96feyxx+jTpw+7d+8mLS0Ng8FAYGAgDzzwAJ6e4oZaUcduDHRt31QsoCcIQu1V4WBUWFjInj17KCgowNvbGzC3F23bto28vDx+//13Fi1aVOkZranOX83DWa3g4VYNHJ0VQRAEh6lQMDp27BijR48mJyen1DRqtVh/p7wkSeLw6UwCfd0sVZ6CIAi1UYWC0SeffEJBQQHjxo1DoVDw2Wef8dZbb5Gdnc3q1au5cuUKmzZtqqq81jjHUq6RmVNE20g/R2dFEATBoSrUtfvgwYMMGjSIyZMnM3bsWGQyGQ0bNmTs2LGsWrUKDw8PlixZUlV5rXH+OHEFFycFA+JCyk4sCIJQg1UoGOXn51vGEbm4uFC/fn2OHz8OgKenJwMHDmT37t2Vn8saSJIkjpzJJDrEB5VSzEUnCELtVqG7oLu7O0VFRZbPgYGBnDp1yvK5QYMGVrN5C6VLv15Idp6OyEZejs6KIAiCw1UoGMXExLB582YMBgMAoaGh/PXXX5hMJgBOnz6Ni4tYKrs8Tpwzz7oQ2VAEI0EQhAoFoxEjRnDo0CF69uxJdnY2ffv25ezZs4wZM4a3336bZcuW0bp16wpl4ODBg4wYMYJWrVrRvn17pk2bxtWrV297jE6nY968efTo0YOWLVvSq1cvPv/8c0uQLJabm8ubb77Jgw8+SIsWLRgyZAg7d+6sUP6qyslzWXi6qfH3EsFbEAShQsGoY8eOzJgxAzc3N9zd3WnZsiWTJk1iz549LF++nICAAKZNm1bu8x0/fpxRo0YBMH36dCZPnsyuXbsYOXIkOp2u1OPefvtt5s6dS8+ePfnkk0/o3r07H374IR999JEljSRJPPPMM2zatIlnn32WGTNm4O7uzrPPPsu+ffsqUuxKJ0kSJ85dJyKojujSLQiCAMgkSZL+6UkuX75MVlYWoaGhqFSqch/37LPPcvz4cbZu3YqTkxMAiYmJDBkyhDfffJP4+HibY7RaLa1ateLRRx/lvffes2x/+eWX2bJlCwcOHEClUvHTTz/x/PPPM3/+fMsURQaDgUGDBuHk5MSqVasqVMbMzDxMpop/Vb6+7ly9mmu17WRaFu8vO8DYR5oR27xehc95t7NX5ppOlLl2EGUuP7lcho+PW/nTV/gKdtSrV4/IyMgKBSKdTsfu3bvp0qWLJRCBuV0qODiYhIQEu8fp9XqMRiMeHtaTivr4+KDT6SxLXOzYsQM3Nzfi4uIsaZRKJb169eLw4cNkZGRUpIiV6sxF86Dh6FAfh+VBEAThbuKwPsVpaWlotVpCQ0Nt9jVu3JjTp0/bPc7NzY3HHnuM1atX8+uvv5KXl8euXbtYtWoVPXr0sMyPl5ycTHBwMAqFwubcgFUvwOqWejmHOm5q3FzKH7wFQRBqsgrPTVdZcnPNr31ubravcRqNxrLfnsmTJ5OSksK4ceMs29q1a8f7779v+ZyTk0O9erZVYMXXy8vLu+O8/xOSJJGUep3oEPFWJAiCUMxhwai4O3hpDfhyuf2XtmvXrjFkyBDy8/N5/fXXiYiIsKyj9NRTT/H555/j7u6OJEm37RxQ0Y4DFan7vJWv781l2tOvFZBXqOe+SD+r7TVNTS5baUSZawdR5qrhsGBUXJ1m7w0oPz8fd3f7hV+9ejXnz5/nyy+/5P777wegbdu2tGrVin79+vHFF18wadIkPDw87J67+I2otPOXprI6MBw4cQUAHzd1jW0IFY28tYMoc+1wT3VguBNBQUGoVCpSU1Nt9qWkpBAWFmb3uPPnzyOTyWjTpo3V9sjISOrUqcOJEycA84Dcc+fOcWtnwZSUFIBSz1/VDidnoFTICPTVOOT6giAIdyOHBSO1Wk2HDh1ISEiwmmIoMTGR1NRUOnXqZPe4sLAwJEnizz//tNp+4sQJsrKyaNiwIQCdOnUiOzvbapCrwWBg8+bNNG/eHB8fx7TZJCZn0ibSD5VSUXZiQRCEWsJh1XQAkyZNIj4+npEjRzJq1Ciys7OZOXMmYWFhDB48GIDU1FQyMjKIiYlBrVYzePBgVqxYwYsvvsj48eOJiIjgzJkzfPbZZ/j6+loG0Xbv3p3mzZszefJkXnzxRerXr8/y5ctJTk5m8eLFDilvToGO3AI9wfU8yk4sCIJQizg0GEVHR7NkyRJmzZrFtGnT0Gg0xMXFMW3aNMvYo/nz57Nu3ToSEhIIDAzE1dWV5cuXM2fOHD7//HOuXbtGQEAAXbp04fnnn7e88SgUChYvXswHH3zAvHnz0Gq1REREsGDBAmJjYx1S3ksZ+QDUr+vqkOsLgiDcrSplBobaoDI6MGw/cJ6vt57kowkd8PZwruws3jVEI2/tIMpcO9T4Dgy10cWMAlycFHi5O5WdWBAEoRYRwaganbmUQ30fjZgcVRAE4RYiGFWT7HwdKZdyaNmkrqOzIgiCcNcRwaiaXLhqHmzbOED0pBMEQbiVCEbV5MKNnnQNfO98WiFBEISaSgSjanLhaj5uLio8XMVM3YIgCLcSwaiaXM0qxN/bRXReEARBsEMEo2qSmV2ETw0eWyQIgvBPiGBUDUySxLXcInw8RTASBEGwRwSjapCdp8NglKgr3owEQRDsEsGoGmTmmGclF29GgiAI9olgVA0ys28EI/FmJNQykr4IyWgof3ptPqaCLCSTsfzH3Fg1uqpJRj2pM55En7zPss14NZWivSuRDFokkwlJV4Bk0Fofpy+yyWPBD9Mp+HGW5bMp5wq5C0diuHzK5rq6I1vRn9qNIS0RSZJs1mi7VdGebzGcPYRkNNikNWVfxnDxOADaP1aT982LVtfXnfjVst+UcxVJX0R1ceis3bWFeDMSHMWUfx2Za51K68VpzEgFkwm5pz/6a7mAO8b00+iT9+HUZiAytQsAhTsWIeVnYbxwDEVgc1x7v1Su8+ev+BeSNg+cNLg9PguZUn2zLDlX0O5bhfNDY0GhonDTdFRNHqBo5+c4xY1CHWl/DTTAHOByrmLKuYIytD0yhRJT1iWMV5JRBEQidzfPjKI/vYeiXxbgNvJTZGrz7PqF2+YiFeWibj0AU1E+Rb9+jik7HblrHYp++wpMBvSJWyzXknvVRzPkXUzZlyn67SuMF5IAcO42EcPZQzi1ehTjjRt+4c+fovANRrtvlfnz9+8A4NLjRXMZN39oVQ65b2OkwhwkfRGqJh1Q+IWgbNgCZAq0f65Gf3SbuRxHfrpxgBKXPtOQ8q+j8G1M/spXbpwnBNPVMwDkff086paPAKDduRQAt7Gfk79iGooGzWDkf8v1s/unRDCqBpnZRWiclTirxdftSJIkoT++HVWTB5Cp7myyWlNBNjJnDTJ55fwsDZdPUfj9O2iGTkfu6W+VV2PaERSBzZHJy67AkPRaUCiRyW8u2mi8foGC717FqcPjGC+eQO4XgrLRfSi86pd+Hl0h+hO/ogrviOFiEsrgVsjkSiRJwpR5loK1b1rS5tkURo8iKBrdoU2WGx2A8fxRjNcvIq9TDySQCq5jystEhgyZe11M2ZdR1A2m6Ncl5kAEoM1Hd2Qr6AtRNe1M/rc3g5mh0X3I3LwxXvob46W/AdD9uQZl/WZIRbmgdkZRx1xG/Zk/0P7+DVJhjuV4dUEWTi37kL/q/yzblI3boGzchqJfFpjL9sUE5F71MV2/aElT+MP7NzKgRbd/banfoen6RXIXjrTZXrRtrvnwk7/dLMuZPzCc+cMmbeFPH9s/99UUy7/1R7ehLzUXxQcYKNz4np3z3Pz5SIU5aPcst9ov5V8HsATS6iDujtUgM0f0pKsukslU6s3beO4Q2t++wpR1CecOj2PKv47pairK4PuQTEZ0f61HFd0dubO7+Vx6LboDG9Ad3oxTbDzKsFjyv3kBVcSDOHd62nI9brx0SJKE4dTvKBu2RObshjHrIoa/f0PSF5mrTYpycO78DKqQtpY8GU7+DkDR7mW4PPwMMicNprxMDGf+QLt3JU4dHkfdvJvlWsbLf2PKuoyifgQytSty1zpIkkTe0mdQhsXi3OFxjJnnkLnWsdxItbuXmS+W+he6P77DbdQC8pY+A4DT/cNQNXsYmVKN7sSv6JN+wZRxFu3eFZY8qqK6ogxuReGmD2773etP7EB/6ncw2t4iC777NzI3H2ROrpgy0257nmK6P1eb/39ok9X2oh2Lbn5QuYC+EKkwh/wV0yybXXq/hNynIUU/f2p73j++MwfGEgwp+zGk7LfaVjIQ1Tam7HTzP1TVd98SwagaZGYX4efl4uhsVAt96gEKcjzAI8zufqkoj6LfvsTp/mHI3XzMT9xXUzBeS0Mmk6MMaWd5a8lbPhVlwxY4d3zS6hzGjLOgUNk84euSfkH721dohn2A3MPv5jUlibxFo5B7NTB/1hYAUPjzPEzpp3F+aCyGiycwnNyF6fpFnLtNRH98O7q/NiAVZpvPnfgT2j3fmsv49y6QK1H4hVD06xJzXgHnh5+laMdilE06YDi12275i36eh+KJ2eYnU6UTpizzDc+YlkjBxvdw6TmF/OVTLem1u5dhvHgcQ+oBu+eTufng2sd8Ezac3kNBzhVMV5IBUMX0tHuMMf30zfPvXWF+a5Ar0B3caDe9/tjP6I/9bHef7clLf1aX8jKR8jLLd57yKqVtqXDzR7c9rGjrJ5WbjxqmOBjJbjyYVQexuF453enienXrujHk35t4MCaA4V3DqyBn1UsymZAKrpsDib4Iyai3vEnoUw9QtHUOAO7jvjBXix35Cf3pPSiDW6Nu3o28LyYAEiBD4R+GzLMehpO7rK7h0vslFH4hN9KazwWgO/Erijr1KbhRr168XZIkJG0e+d9OgxsNrsXXL/p5HsiVGJL3Ws6viuyEc9wocheOupGXm+Re9XHu/AwFa/9Tid9a1VK37GPz9gCgqBeO8fJJB+To9pzjRqM9vAmp+On7Bpm7L1Lu1Sq7rrpVP3QHNlhvVKjBqKuya5aLTAGSEZlrHaSCrDs+jbrNQHT716IMux/D6b1208ic3G5WhQKqpg+hP77DJp3ctzGmqynIvRoQPGGOWFyvJsgr1KPVGR06xkiSTBTt/BzDjfpfyahH0uZb9ptyr1K0ezmSybbXk+HiCQp/WYD+RnWSdu8K8pdPxZSdTt7SZ8n/apKl99CtT9am6+fR7l2BKeMsuv1ryftiPDdv/hLG9FM2gQjMT7XFgchyrqJctDuXWgIRQN630yjavYy8RaPI/2qSJRABmApzMCTvM1e/JN/yh6lQojuWwK2ByJzni/dUIALQn9pjvUFmbjcqGYjcnpqHMrhVhc6rvq8vTh0et9rmOuSdUlKXnzKsPU7tHrPZXvw2q6gXjkv3F/7xdW6lbtXX9pruPpV+nYoq7vShDIq5bTqnDk+gKCWNTOOFumUfnDo+iappZ5v9zg+NNacrUWMAIHO/uaSNzLUOioYtgJttU5KuoJyl+OdENV0Vy8gqBKj0ZcYN5w6h8AtD5uxm7r5p0CFTOSHpCjFmnjO3jVy/gLpVPxSBUehP7MSYcRbFgDcp+vlTDGcP4vb0YnMPnMQfAdAf3YpLn5cp3PQB6jYDUbd8xNJoazi9B+OlE+YqKqCgRKNo3ufPIPdqgKQzl1XurMGUd42C1a9XSln1f++iqLjdowQp96ql99CtTFdTKPplvv0TypVof/+6UvJWLipnq0BZHk5xoyw9m8oi5V+z+uw28lO0f62z/FwBZE4aFAGRpVb32aNoEIXCLwS5e10Kf5ptPo/LP1sCRe4XgkzphMKnoe31/EIwXjiGumVv5D6NrPapYnpZ9VizS+WCc4fhlqpTVXQPjBdPYMo8a867XIncNwS5m/fN9qEbHT4U/k0wppfoVi2Tg3SzO7aiYQuM5w5bXc510H8xXU2xestzfmgsCv9QS681pwdHovAJwpRzlaLfvsSl52RMWZesf7YqJ9DmoWreDVVUF2QqZwo2f4iUm2FdvIgHUUV0xHT9AobUg+gO/WDOx6OvIvcORCZXoG72MKacK7bfrX+oOT+tHwXkaPetQu5VH5nSXCWuDGmHS9cJFN6o2ShW8qG1qolgVMWycs1vDR4adRkpb69o70r0iVuQ+4dhKlHnr27RG8O5REzXz+P88DPoT++1+qPRHdgAN6omTBlnyVs0yrIv78sJYLCuoija9YX5uP1rUYU/YLWvOBABNtUJpusXbv67KJ/85VPurKB2FN9cKqKwxBiOWxW3A1UXdcs+6P5cY7Nd1bQz+uPb7R4jU5RzdvcbDfhWlGqc7x9mFYwAUNj+ucuc3c090G49bfPuKOqFI5PLUTa672Z6ZTl6IcpkUErtf/Hxcg9fVM27WT1MKINiULfoZelSbdlezjc6544jUPiFWD6ro7pCTE/yl022bNMMeAPA0ttNHdOLoh2LbN8AVE6gu/m9FufbKTAC7XlzDz65mzcKnyB0hzdb3rGVTWJBf3OckSq8IzKFEoVfKKqw+80b64Ujd6uL9vevMWVfNgc+zD/z4o4VTm0H2z5MKdXIZDIUfqEo/ELNvQnTTyH3D7Puuq+0vdfI3OtaqrUBlA3Nb1i64io6pfn3zWZMmEGHdJt2wMokqumqWE6++WbvXsGlIySTAd3RbZjyr2O4eMLyVFgyEAHoDm/GdP08AEW/LLB5erstg21duVTiqUp3uIwn0buQMvzBMtMUPzm69Hm5qrODzM0HqehmHb3zw88CIPcLReaksWxX1LulPVGhKldPJpmzxnZbaWOKZLZ/7qUNLnXuMNx+r0SFCplrndvmSTN0Oi59Xsa52yScu0285YI3g5RNwFU52QQiuPmdFVOGtEPuE2SVJ/PxzlDieLmHL3KN123zqgiIMGdLm4/r4P/hdP9Qc95u+e6LP2uatCmRkRuBucT3KpPJLduVYbHI7DwAACgDo3Ad8B80w0r0UCwZT0Lb4/TACMtn93Ff2PxcXfpMw23UApvtlgeGEsMPShuKIK8TYL5ecfXfjcAjc61jGXtkLKyetyMRjKpYdr75KcnN5eYfniSZLDcByWjAlHOFwh2LzNVr+1aRu3AkeV9NQrt7GfnLJt8c31DNyt2D6gb1fX1Rt+pXRbkpH2VgVJlpTFfMYyzsVRXdjrrVozg//AzKxm3KTlyCol4Ty7/lnv5oHnsf194vIXO+2bjr0nOy1TEyuRKnNgNLPafmiY9xe3IuMqeyG4g1w2fcOKmdIHWjKqr4plQWmUyG66OvgpNtECwm9/BD2aAZqsatUQa3vvWCJRIqrHeVEkRltzzpu3SdgGbQzYGYxcFRpnK2tL9YsfOmYDlW44XMzQenDsNReAeiDDW/vRT3vLQoPq9Mbgl+lkCjsC6HTC5HM2IOzg89Xep1wdxWJPfwQ93sYfPnElWgMpmszDdCmVJtf7zcjWCkioy77fEAyoAI3MYuRRXa3rzhxn3Jucv4G7+31bfkjaimq2I5eTpkgMb5xmuwroD8tW8i5VzBKW4Uur/WWwaYFY85AayqCOyR+zQyj2W5cOwf51EV8SD6k7+VWrVyOzIPf6ScdFz6/h/KgAhLRwcLtQsuXSZQuGWG3eM1wz5Af2o3ur/WI/P0R/PYe2j3rEB/dOudFAVZGU/CVmmdbW/kLj0nU7TrC8vPpCRlo1YofIOR9FqbMSkALo++ahlBbyFJqBq3QdZzCtq/1iH3amC5uZa8vr2bqKp5V6TCHEvbQEnyGzdguac/poxUuz3RnB8aA8iQu5kb6eV17Ax2vRGMSgY1dZsBNslcH33V0iVc7uGLKqQd+uPbUTSIQt2iN8aLx+3m0+YtrcS0OMVlVkXEIXNxtw0AJahb9kbKvYpz3M1qZmVwa0w5VyxVxHI3b7vVm5r4j2za7Jw7PQ1yBTK5ArfhN3835RovXHq8gKJeOHlfPleyIDfPN+i/GEsMGnVqN4TCLTOtzi+vQNuaKqYnqpge5reqkkp5qyqLTC7HbeRnoHRC1bwrpqxLt09fomyKBlEYL580f5duddEMfQ+lWx0orHhvuooSb0ZVLCdfh8ZFhUxmnkol74sJlqow7c6ldm96xW7Xx18z6C3LE1pxD5g7oWjYwvyHqbr9OCi3kZ+huvEEZ9k2eiHFT7rFT2jyutYNz8jkKIOiSz2v3MMPZaOW5g+SuZrDucNw3MYsQd2it91j1G0GlnrjUvg2RhVRjifCG0/ALr2moIowV+3J3H3NU6uUuKGVrPYrvnnKS4xvUsX0tFSHKEu8Ad1k/n6UDWPQDPiP9VP+LVUnJXuqSZjM467KeDpW+DY2n8pO1ZkqvKNVu5+yXhOra7j2e+1mI/2NNx1Vs4dxsvN2q6jXBHWLXrblatwaZWAUTu0Gl5pHl97TLFVtUok3I1VUF1QxPXHqMByndkNsbsauQ97BpZe57VHu7I5Lt4lWVZsu3SehGfxfy3dUsqdYyXYuuYuH1bgzuNEZoEkHu/lVNroPmZMGzdDpJYp7I98yGfI69ayOLasXXFlkMpltIKJE1dqtb5DlOafaBZlcjqJOfVQ2b6elU7fqi2b4TOTuvshkMuSe9co+qJKIN6Mqlp2vxd1Vhe7wJnR/rK7YwWpXKNG4fGsPK3XUwxSeO4RzxyfJXz7Vbo+fYponPsaUcwUpO926Q0BxHbFCaaejs5nzQ2OQqV1QtxmAPukXwNxTSaZU3/wjvXGTVXgH4t3lKa4lfGneXp63LcvNv0R7wm3+ANXNu4FBh+76BZQhbVG37IOUdx1ZHX9kSjXOnUaDDAwX/0bKMfdyUjSIArkCY1qiObs3AqQyKAZFg+bmMjXvDoBLlwkUrHvTkg9LI/+NgKss0b7jfP8wVJFxaAovYre/3G3KL3Pztv4avBqgbHQfhrMHb6ax04ZSUnHwl7mUb3CiwqsBmqHTkXQF5kB2403F8uBT3klN7RRL3aK33TYoZWAUksmI6sIx1C37WLbLlE443z/stnnlNm9LxZwffgZJ/5Tlhu729GK77WMVVXJ6ppuqcaXmG50K1PfZdkmvKjKZ3Ob3sro4PBgdPHiQmTNncuzYMVQqFXFxcbz88sv4+vraTf/JJ58wd+7cUs83YMAA3n/f3MaydOlSy79L8vf3Z+fOnZVTgDLk5OuIUZ1D98fm26aTuXhYzZ8FIK9TD2POzYGB6shOVsFIGRRj6SHjNnohyBXkLbZfTy13rWN+eq4XjiSZLOdR+Jm7fDp3m4T+8GacHnwKdIVW83apwjua81jiqb64odeS/xJ//G7NOtwMRuVgCTy33LilEl1rrSjVFN8N5XUboagbDHWDrZI4x402n8OoR/fXetQtH0GmdrH0olKGxZa4vtwyvQ+AwjcYtyfnUrBlBuqWvVFFdER3dJtVnb5m6HRMxYGuTn3cm0RQdDUX18H/BZkcY9oRtHtX2GkzKVGMeuE2s0XcfAo23/TsVSU6lZiRQlEvAqf7h6IKf5C8cnbbtrrJ3viOVRHmn7G6bentVFZ5b9QC/Ykdlt8fAKf2tmOHisnkCqvvuDLJFCqr6rnSOg3cCc0TH4PJiPHicfSAum6DsueDqyQyudKqB1xN59BgdPz4cUaNGkV0dDTTp08nMzOTjz/+mKSkJNatW4dabdvwOGjQIGJjY222z507l/379zNkyBDLtmPHjhEYGMj06dOt0to7b1XJK9ATKLcdVa554mNLl1P1fY+ibNgC3dFtGE7fHMCojumJsV4T8xvVjYGMcu9ATNcu2JyvOFC49n8D5HKKfv8GVdj9yD3r2fQMUkd2QhkQifH6BXO1FOYqHGW9GwMNXetY2oIUDVvePLDkH/yN4KMMbG7unlzyCd6q+ulG0PALwZR5HlXkg+iPJZirt4rbxSyBzDoYldaNWCZXIL8RfBS3jEexSatQ4dRuiO32MiYflTm7oRlwY/Crhx8u/tbTG8k9/e0+OSu8zb28FF4NzLNDl9F2cGv1kdMDTyBz8bR0vS0ZjBRBMRjTEq0CgEwuRx1jrj7TPPHxHbX7gflhxaWMBveSlI3uo/G/VpBxvfqWGHCE4upPWZMHcK3bCNewZuTbmY3ApddUTLeM9xIqxqHBaPbs2Xh6erJ48WKcnMw3nmbNmjFkyBDWrFlDfHy8zTH169enfn3rhtgff/yRPXv28Pbbb9O69c0n0WPHjtGiRQvatKlY76fKZNAWECE7Yv7gpAFtPor6TZG71jE3MspkN8cwtB1obhgvrjpz0qCO7oHuj9WoW5rbT1wHvo3dOpIbisdZaPq9dtt8lXYzLeb6yMsYL/1tVTcuk8nNXWFLVKE5dXgcdUxPqwbbkk+mzrHDzefr97qlodS5RJdVc2bM6eWu1p0PzG1GEoaUv6zGMQGoQtqiGPYhcg/7b9B3g7K6Fds9xrUOzh1H2N3nHDcK49UUFLe2y5U49k7JNBU/VqZUgf3KyRpHJpNZHjTsuV27qFA+DuvAoNPp2L17N126dLEEIoCYmBiCg4NJSEgo13lycnJ4++23iY2NZejQm1VHBQUFpKamEhVVdlffqtRcfxQnqQhlcGtzl1hAeeNtQ6Zytnr6l7v74v70IuQ3AorMSYNMoTI35t/o5iuTy2/bnlJZ5G4+dht4XR55BdcS43NkCqVNUCsZjCydA26zno7czRvnh8bajEmRqZxwajMQ587j7B93FweiSnXju5OpnFBVcEqfcl+iPINZBaEKOezNKC0tDa1WS2hoqM2+xo0bc+LEiXKdZ86cOWRnZ/PWW29ZbU9KSsJkMpGUlETv3r05e/Ys3t7eDBgwgIkTJ1ZLVZ0kSbibstHJXXDvPgkwV6XIXDxve5xr72kYLiRZuuRWR/Apr/Is0nYndfa3zvZQkqJuIzTDPjDPgXcXfRfVRVG/mbkLfyWtoVSSc/dJmK6mVvp5BaGiHBaMcnPN9a5ubrYNtBqNxrL/djIzM1m1ahX9+/enUSPrqoukJPOkoGfPnmXKlCloNBp27tzJkiVLOHnyJPPnlzJvWSXSG0y4ywrRq26WsTxVKTK1C6rG5e+OedepgoBxa9tKbeLSbSKmrEs2gz8rgyq4NVSg668gVBWHBSNTcZfSUp605eVY3XL58uXodDqeffZZm33dunUjMDCQ2NhYXFzM40NiY2NxdXVl7ty5/Pnnn7Rt29bmuNJUZCr0Ylm5WjzkBUguXvj6Vt+6IHeTu63czv1eQOXpi3MV5KvqyuoODe7OYHy3/Xyrgyhz1XBYMPL0NFdV2XsDys/Px9297ML/8MMPtG3blqAg24bFgIAAAgJspzjp0qULc+fOJSkpqULB6E7WM0q/XoCHrBC9KvCO1gO5VxX/4ioaNLv7yu1/H0VAbiXny9fX/e4raxUTZa4d7rTMFV3PyGHBKCgoCJVKRWpqqs2+lJQUwsLsrxRa7PTp06SmpjJmzBi7+3fs2EFmZiaDBg2y2l5YeGNJB++qH9hVVGTAQ15InvPt24hqIs2Tn9h0KRcEQSiNw3rTqdVqOnToQEJCAkVFN7uHJiYmkpqaSqdOnW57/IED5gF+pXXb3r59O6+++iopKSlW2zds2IBara6W7t5FeTmoZKYyOyzURHJn9/IvgyAIQq3n0LnpJk2axJUrVxg5ciQ//fQTq1atYty4cYSFhTF4sHmuq9TUVPbv349OZ73cwfHjx1GpVDRu3NjuuceMGYOHhwdjx45l7dq17Nixg//7v/9j5cqVjB8/3m4VXmWTbiztICvnjMiCIAi1lUODUXR0NEuWmOdJmzZtGrNmzSIuLo4vvvjCMvZo/vz5PP7441y5Yr16YUZGhqXdyZ6goCC+/fZbmjVrxsyZM5k0aRJJSUm88847TJgwodTjKpMs5zIAKt/bzxIgCIJQ28kk6Q7nD6ll7qQDw/HN3xJ4/icMQz7By6v29MARjby1gyhz7VBdHRjEEhJVSV+ESQKlkxjdLgiCcDsiGFUhmVGLDhVqZe2bNUAQBKEiRDCqQjKDFq2kRKmsxjVQBEEQ7kEiGFUhmVGLVlKhKMdsEoIgCLWZuEtWJUmiENFeJAiCUBaHr/Rakx3zfIijGVdo7uiMCIIg3OVEMKpC2XJPshQGR2dDEAThrieq6aqQwWhCpRRfsSAIQlnEnbIKiWAkCIJQPuJOWYX0BhMqMcZIEAShTKLNqAq5uahQqkQwEgRBKIsIRlVoRI8IfHzcyM4qcHRWBEEQ7mqimq4KKRVy1OLNSBAEoUwiGAmCIAgOJ4KRIAiC4HAiGAmCIAgOJ4KRIAiC4HAiGAmCIAgOJ4KRIAiC4HBinFE5yeV3vkDePzn2XiXKXDuIMtcOd1Lmih4jkyRJqvBVBEEQBKESiWo6QRAEweFEMBIEQRAcTgQjQRAEweFEMBIEQRAcTgQjQRAEweFEMBIEQRAcTgQjQRAEweFEMBIEQRAcTgQjQRAEweFEMKoiBw8eZMSIEbRq1Yr27dszbdo0rl696uhs3ZGtW7cybNgw2rRpQ4cOHRgzZgxHjhyxSrN+/Xr69u1LTEwMDz30EB9//DE6nc4qjU6nY9asWXTu3Jno6Gj69u3Lhg0bqrMod+Tbb78lIiKCffv2WW2vaWU+ffo0zz33HG3btqVVq1bEx8ezZ88eqzQ1rcy7d+8mPj6e1q1b07FjR6ZOncqlS5es0tSEMhsMBoYNG8Ybb7xhs68yy5eens7UqVOJjY2lZcuWPPnkkyQmJpYvk5JQ6ZKSkqQWLVpITzzxhLR161bp22+/ldq3by/17t1b0mq1js5ehaxZs0YKDw+XpkyZIiUkJEibNm2SBg0aJEVFRUl//vmnJEmStHLlSik8PFx67bXXpO3bt0sff/yx1LRpU+nf//631bmmTJkiNW/eXFqwYIH0yy+/SJMnT5bCw8Ol9evXO6Jo5XL69GmpRYsWUnh4uLR3717L9ppW5uTkZKl169ZS//79pc2bN0vbtm2THn/8cSkqKko6ePCgJEk1r8x//PGH1LRpU+mJJ56QEhISpHXr1kmdO3eWunTpIuXk5EiSVDPKnJ+fL02YMEEKDw+XXn/9dat9lVm+/Px8qXv37lKnTp2ktWvXSps3b5YGDBggtWzZUjp9+nSZ+RTBqAo888wzUlxcnFRUVGTZdvjwYSk8PFxavny5A3NWcXFxcdJTTz1ltS03N1dq166dNG7cOKmoqEhq3769NGnSJKs0ixYtkiIiIiy/hEeOHJHCw8Olr7/+2irduHHjpI4dO0pGo7FKy3EntFqt1L9/f+mhhx6yCkY1sczjxo2TOnfuLOXl5Vm25efnS127dpVmzpxZI8s8depU6b777pPy8/Mt23bv3i2Fh4dL69atqxFl3rFjh9SjRw+pXbt2NsGossu3ZMkSKTw8XPr7778taXJzc6UHHnhAevHFF8vMq6imq2Q6nY7du3fTpUsXnJycLNtjYmIIDg4mISHBgbmrmPz8fB5++GGGDx9utd3NzY2AgAAuX75MYmIi169fp3fv3lZp+vbtiyRJlvLu2LEDwCbdI488wpUrV2yq/e4Gs2bNoqCggAkTJlhtr2llzsnJYdeuXQwbNgyNRmPZ7urqyrZt25g8eXKNKzOAVqtFpVLh4uJi2ebj4wNAVlbWPV/mnJwcnnnmGSIiIvj+++9t9ld2+Xbs2EGTJk0IDw+3pHFzc6Nz587s2LEDk8l02/yKYFTJ0tLS0Gq1hIaG2uxr3Lgxp0+fdkCu7oxGo+E///kP3bt3t9qekpLCqVOnaNq0qaU8t5bX398fV1dXy/7k5GS8vLzw9va2Ste4cWMATp06VVXFuCO7d+/m66+/5sMPP8TV1dVqX00r84kTJzAajQQGBvK///2PDh06EBUVxWOPPcb+/fuBmldmgCeeeIKCggKmT5/OtWvXSEtL491338XT05MePXrc82V2dnZm06ZNzJ49G39/f5v9lV2+5ORkQkJCbK7TuHFjCgoKuHDhwm3zK4JRJcvNzQXMTwS30mg0lv33qry8PKZOnYpKpWLcuHGW8ri7u9ukdXNzs+zPyckpNU3xee8W169f5+WXX+bZZ58lJibGZn9NK3NGRgYA7733HmfPnuW9995j9uzZmEwmRo4cycGDB2tcmQHat2/Piy++yJdffklsbCxdu3bl6NGjzJ8/n4CAgHu+zGq12u5DcbHKLl9Z6cq694nF9SpZ8auoTGZ/YSm5/N6N/+np6Tz77LOcOnWK2bNnExISUu7ySpJUaprbHe8Ir776KoGBgYwfP97u/ppWZr1eD0DdunWZP38+CoUCgHbt2tG9e3fmzJlD+/btgZpTZoD//ve/fPPNNwwdOpSePXtSWFjI8uXLefrpp5k3b16N+znfqrLLV1a6su599+6d8S7l6ekJ2H8KyM/Pt/vkcC84cOAAgwYN4uzZs3z66ad06dIFAA8PD8B+efPy8izl9fDwKDUN2H86c4QVK1awZ88e3n33XSRJwmAwWP5oTSYTBoOhxpW5+Mn1oYcesgQiMOe/VatWHD16tMaVOT09nWXLltG/f3/efvttOnToQJcuXVi4cCGhoaG89tprNa7Mt6rs8pWVzl5tUUkiGFWyoKAgVCoVqampNvtSUlIICwur/kz9Qz/88ANPPfUUKpWK5cuXExcXZ9lXXA1wa3nT09MpKCiwlDc0NJRr166RnZ1tlS4lJQXgrvleNm3aREFBAb169SIqKoqoqCheeuklAEaOHElUVFSNK3Nx3b9Wq7XZp9PpcHZ2rnFlvnjxIpIk0bZtW6vtCoWCNm3acOHCBfz8/ICaU+ZbVfbPNDQ0tNT7nkajISAg4Lb5EcGokqnVajp06EBCQgJFRUWW7YmJiaSmptKpUycH5q7ifvrpJ6ZNm0ZkZCSrV68mMjLSav99992Hp6cnP/zwg9X2jRs3IpPJLIGruNybNm2ySefr60uzZs2qsBTl99Zbb7F69Wqr/yZPnmy1r6aVOSQkhODgYH788Uer39mMjAwOHDhA+/bta1yZg4ODUSqVNgOZjUYj+/fvx8fHh7i4uBpV5ltV9s+0U6dO/P3331YdNvLy8vjll1/o2LGj1Vu3PaLNqApMmjSJ+Ph4Ro4cyahRo8jOzmbmzJmEhYUxePBgR2ev3LKysnj11VdxcXFhwoQJpKSkWJ6GAFxcXIiKiuK5557j3XffxdnZmZ49e5KYmMj8+fMZOHCgpZtnTEwM3bp149133yUrK4umTZuyceNGfv31V6ZPn45SeXf8KtrrDXTu3DnA/AYRHR0NUKPKDOZ2svHjxzNy5Eiefvpp9Ho9n376KWD+fVar1TWqzF5eXowbN45PP/0UpVJJz5490Wq1rFy5kiNHjvD+++/XuDLfqrLLN2zYMJYtW8aoUaN48cUXcXNzY+HChRQUFPD888+XnaGKDKASym/v3r3S0KFDpejoaOn++++Xpk2bJl25csXR2aqQ77//XgoPDy/1vx49eljSLlu2TOrRo4cUFRUlde7cWZo9e7ak1+utzldYWCi988470gMPPCBFR0dLffv2lTZu3FjdxaqwH374wWYGBkmqeWX+888/paeeekpq2bKl1KpVK2ncuHHSyZMnrdLUtDKvXr1a6t+/v9S8eXOpffv20lNPPSXt27fPKk1NKbO9GRgkqXLLl5aWJk2aNElq1aqVdN9990lPPfWUdPjw4XLlTyZJklSV0VcQBEEQyiLajARBEASHE8FIEARBcDgRjARBEASHE8FIEARBcDgRjARBEASHE8FIEARBcDgRjAShlouIiGDkyJGOzoZQy4lgJAiCIDicCEaCIAiCw4lgJAiCIDjc3TmDnyDUIBcvXuSTTz5h165dZGVlUa9ePXr16sX48eMtS5pHRETw+OOPEx0dzfz587l06RKBgYHEx8czYsQIq/MVFBSwYMECtmzZwsWLF3Fzc6N9+/ZMnDiRJk2aWKVNT09n3rx5/Prrr1y/fp2AgAD69evH008/jZOTk1XazZs3s3DhQpKTky1Lb0+ePLnMdWgEoTKIuekEoQqlpqYybNgwAIYOHUq9evVITExk/fr1REVF8c033+Ds7ExERAQNGjTgypUrDB8+nMDAQDZv3szBgwcZPXo0//rXvwDzAo0jRozg2LFj9O7dmzZt2pCens7y5csxGAwsXryYNm3aAOZANGDAAHJychg2bBhhYWEcOHCADRs20KNHD+bMmQOYA6GrqytyuZzhw4fToEEDfv75Z3bt2kXv3r2ZNWuWY748oXap+NyvgiCU1+jRo6W2bdtKFy5csNq+fv16KTw8XFqwYIEkSZJlJvRt27ZZ0uh0Omno0KFSZGSklJqaKkmSJM2ZM0cKDw+XFi5caHW+M2fOSNHR0VL37t0lo9EoSZIkvfzyy1J4eLi0Y8cOq7SvvfaaFB4eLv3999+Wa0dERFjNrmwwGKTu3btLUVFRklarraRvQxBKJ9qMBKGKZGVl8fvvv9O+fXucnZ25du2a5b+OHTvi6urKtm3bLOmbNm1K165dLZ9VKhWjR4/GZDLxyy+/AObFDt3d3XnqqaesrtW4cWP69etHamoqSUlJSJLEzz//TGRkpM2CjpMnT2bjxo0EBwdbtoWEhBATE2P5rFAoaN68OXq9nuvXr1fm1yIIdok2I0GoIufOnUOSJLZu3crWrVvtprl48aLl37e298DNxf6KF/hLS0sjNDQUtVptk7Z4+efz589Tv3598vLyrAJOMW9vb7y9va22+fj42KRzdnYGQK/X2827IFQmEYwEoYqYTCYAevfuzZAhQ+ymKbkKqL0AYzQaASxLNku3aeItTqtWqy3/vrWTQmnKWhJaEKqaCEaCUEUCAwMB0Ol0dOjQwWqfJEls2bLFkgbg7NmzNuc4c+YMYK6GAwgKCuLcuXPodDqb4HX69GkA6tevj7e3N66urqSmptqcMzk5mblz5/LYY48RGxt75wUUhEok2owEoYrUrVuXVq1asX37dhITE632rVu3jsmTJ7NmzRrLtv3793P48GHLZ51Ox+eff45arba0JXXv3p3c3Fy+/PJLq/OlpKSwceNGgoKCiIyMRKFQ8NBDD5GYmMihQ4es0i5fvpzNmzfj7u5eySUWhDsn3owEoQr95z//4fHHH2fEiBEMGzaM0NBQjh8/znfffUeDBg2YMGGCJa1arWbUqFGMGDECHx8fvv/+e44cOcIrr7yCv78/AGPGjOGXX37ho48+IikpydK1+9tvv0Uul/Puu+9azjd16lT27t3LyJEjiY+Pp1GjRuzfv5+NGzfy2GOP0bx582r/PgShNCIYCUIVioyMZM2aNcybN48ffviB7Oxs/Pz8GDx4MOPHj7cEGYBWrVrRp08fPvvsMzIzMwkPD2fOnDn06NHDkkaj0bBs2TIWLFjAjz/+yLZt2/D09CQuLo7x48dbOjGAuZpw9erVfPLJJ3z//ffk5ubSsGFDXnvtNeLj46v1exCEsohBr4JwF4iIiCA2NpYvvvjC0VkRBIcQbUaCIAiCw4lgJAiCIDicCEaCIAiCw4k2I0EQBMHhxJuRIAiC4HAiGAmCIAgOJ4KRIAiC4HAiGAmCIAgOJ4KRIAiC4HAiGAmCIAgO9//74pbcipzA2QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(nn_history.history['accuracy']) \n",
    "plt.plot(nn_history.history['val_accuracy']) \n",
    "plt.title('model accuracy') \n",
    "plt.ylabel('accuracy')\n",
    "plt.xlabel('epoch') \n",
    "plt.legend(['train', 'test'], loc='upper left') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we can see that our model tends to overfitting. The discrepancy between train (red) and test (blue) is around 25%. That needs to be reduced. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot ANN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from keras.utils.vis_utils import plot_model\n",
    "plot_model(nn, show_shapes=True, show_layer_names=True)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:nf] *",
   "language": "python",
   "name": "conda-env-nf-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}