{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7277b9c2",
   "metadata": {},
   "source": [
    "# Genetic Matcher\n",
    "\n",
    "The GeneticMatcher can be used to optimize any function of the baseline covariates, both linear and non-linear. In this demo notebook, we show how to call the matcher in the PyBalance library, including an example of a non-linear balance function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5d3c98f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import logging \n",
    "logging.basicConfig(\n",
    "    format=\"%(levelname)-4s [%(filename)s:%(lineno)d] %(message)s\",\n",
    "    level='INFO',\n",
    ")\n",
    "\n",
    "from pybalance.sim import generate_toy_dataset\n",
    "from pybalance.utils import (\n",
    "    BetaBalance, \n",
    "    BetaSquaredBalance, \n",
    "    BetaXBalance,\n",
    "    BetaMaxBalance,\n",
    "    GammaBalance, \n",
    "    GammaSquaredBalance,\n",
    "    GammaXBalance,\n",
    "    GammaXTreeBalance,\n",
    "    MatchingData\n",
    ")\n",
    "from pybalance.genetic import GeneticMatcher, get_global_defaults\n",
    "from pybalance.visualization import (\n",
    "    plot_numeric_features, \n",
    "    plot_categoric_features, \n",
    "    plot_binary_features,\n",
    "    plot_per_feature_loss,\n",
    ")\n",
    "\n",
    "time_limit = 300"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0df76346",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <b>Headers Numeric: </b><br>\n",
       "        ['age', 'height', 'weight']<br><br>\n",
       "        <b>Headers Categoric: </b><br>\n",
       "        ['gender', 'haircolor', 'country', 'binary_0', 'binary_1', 'binary_2', 'binary_3'] <br><br>\n",
       "        <b>Populations</b> <br>\n",
       "        ['pool', 'target'] <br>\n",
       "        <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>age</th>\n",
       "      <th>height</th>\n",
       "      <th>weight</th>\n",
       "      <th>gender</th>\n",
       "      <th>haircolor</th>\n",
       "      <th>country</th>\n",
       "      <th>population</th>\n",
       "      <th>binary_0</th>\n",
       "      <th>binary_1</th>\n",
       "      <th>binary_2</th>\n",
       "      <th>binary_3</th>\n",
       "      <th>patient_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>62.511573</td>\n",
       "      <td>190.229250</td>\n",
       "      <td>105.165097</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>pool</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>68.505065</td>\n",
       "      <td>161.121236</td>\n",
       "      <td>95.001474</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>pool</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>50.071384</td>\n",
       "      <td>162.325356</td>\n",
       "      <td>84.290576</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>pool</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>44.423692</td>\n",
       "      <td>150.948096</td>\n",
       "      <td>82.031381</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>pool</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>41.695052</td>\n",
       "      <td>132.952651</td>\n",
       "      <td>54.857540</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>pool</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>21.474205</td>\n",
       "      <td>168.602546</td>\n",
       "      <td>70.342128</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>target</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>10995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>40.643320</td>\n",
       "      <td>188.188724</td>\n",
       "      <td>61.611744</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>target</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>10996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>29.472765</td>\n",
       "      <td>161.408162</td>\n",
       "      <td>57.214095</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>target</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>10997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>41.291949</td>\n",
       "      <td>150.968833</td>\n",
       "      <td>91.270798</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>target</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>67.530294</td>\n",
       "      <td>155.124741</td>\n",
       "      <td>56.196505</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>target</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11000 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "<pybalance.utils.matching_data.MatchingData at 0x7fd6b8067f10>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = generate_toy_dataset()\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab4cf5d7",
   "metadata": {},
   "source": [
    "## Optimize Beta (Mean Absolute SMD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9dc2b2f1",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO [matcher.py:125] cpu\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'objective': 'beta',\n",
       " 'candidate_population_size': 1000,\n",
       " 'n_candidate_populations': 1024,\n",
       " 'n_keep_best': 256,\n",
       " 'n_voting_populations': 256,\n",
       " 'n_mutation': 256,\n",
       " 'n_generations': 5000,\n",
       " 'n_iter_no_change': 100,\n",
       " 'time_limit': 300,\n",
       " 'max_batch_size_gb': 2,\n",
       " 'seed': 1234,\n",
       " 'verbose': True,\n",
       " 'log_every': 1000,\n",
       " 'initialization': {'benchmarks': {'propensity': 'include'},\n",
       "  'sampling': {'propensity': 1.0, 'uniform': 1.0}}}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "objective = beta = BetaBalance(m)\n",
    "matcher = matcher_beta = GeneticMatcher(\n",
    "    matching_data = m, \n",
    "    objective = objective,\n",
    "    log_every = 1000,\n",
    "    n_generations = 5000,\n",
    "    time_limit = time_limit\n",
    ")\n",
    "matcher.get_params()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9112f8bb",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO [initialization.py:31] Optimizing balance with genetic algorithm ...\n",
      "INFO [initialization.py:32] Initial balance scores:\n",
      "INFO [initialization.py:37] \tbeta:\t0.233\n",
      "INFO [initialization.py:38] Initializing candidate populations ...\n",
      "INFO [initialization.py:86] Computing PROPENSITY 1-1 matching method ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 1/50, 0.001 min) ...\n",
      "INFO [matcher.py:136] Best propensity score match found:\n",
      "INFO [matcher.py:137] \tModel: SGDClassifier\n",
      "INFO [matcher.py:139] \t* alpha: 1.5074398973827774\n",
      "INFO [matcher.py:139] \t* class_weight: None\n",
      "INFO [matcher.py:139] \t* early_stopping: True\n",
      "INFO [matcher.py:139] \t* fit_intercept: True\n",
      "INFO [matcher.py:139] \t* loss: log_loss\n",
      "INFO [matcher.py:139] \t* max_iter: 1500\n",
      "INFO [matcher.py:139] \t* penalty: l2\n",
      "INFO [matcher.py:140] \tScore (beta): 0.0525\n",
      "INFO [matcher.py:141] \tSolution time: 0.002 min\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 2/50, 0.002 min) ...\n",
      "INFO [matcher.py:136] Best propensity score match found:\n",
      "INFO [matcher.py:137] \tModel: LogisticRegression\n",
      "INFO [matcher.py:139] \t* C: 0.05835496346821344\n",
      "INFO [matcher.py:139] \t* fit_intercept: True\n",
      "INFO [matcher.py:139] \t* max_iter: 500\n",
      "INFO [matcher.py:139] \t* penalty: l2\n",
      "INFO [matcher.py:139] \t* solver: saga\n",
      "INFO [matcher.py:140] \tScore (beta): 0.0291\n",
      "INFO [matcher.py:141] \tSolution time: 0.004 min\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 3/50, 0.004 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 4/50, 0.028 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 5/50, 0.029 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 6/50, 0.050 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 7/50, 0.052 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 8/50, 0.055 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 9/50, 0.056 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 10/50, 0.073 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 11/50, 0.075 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 12/50, 0.078 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 13/50, 0.079 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 14/50, 0.080 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 15/50, 0.082 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 16/50, 0.083 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 17/50, 0.085 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 18/50, 0.087 min) ...\n",
      "INFO [matcher.py:136] Best propensity score match found:\n",
      "INFO [matcher.py:137] \tModel: LogisticRegression\n",
      "INFO [matcher.py:139] \t* C: 2.3905570899706423\n",
      "INFO [matcher.py:139] \t* fit_intercept: True\n",
      "INFO [matcher.py:139] \t* max_iter: 500\n",
      "INFO [matcher.py:139] \t* penalty: l2\n",
      "INFO [matcher.py:139] \t* solver: saga\n",
      "INFO [matcher.py:140] \tScore (beta): 0.0289\n",
      "INFO [matcher.py:141] \tSolution time: 0.090 min\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 19/50, 0.090 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 20/50, 0.101 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 21/50, 0.102 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 22/50, 0.104 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 23/50, 0.105 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 24/50, 0.107 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 25/50, 0.109 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 26/50, 0.111 min) ...\n",
      "INFO [matcher.py:136] Best propensity score match found:\n",
      "INFO [matcher.py:137] \tModel: LogisticRegression\n",
      "INFO [matcher.py:139] \t* C: 0.2699411413616818\n",
      "INFO [matcher.py:139] \t* fit_intercept: True\n",
      "INFO [matcher.py:139] \t* max_iter: 500\n",
      "INFO [matcher.py:139] \t* penalty: l1\n",
      "INFO [matcher.py:139] \t* solver: saga\n",
      "INFO [matcher.py:140] \tScore (beta): 0.0288\n",
      "INFO [matcher.py:141] \tSolution time: 0.113 min\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 27/50, 0.113 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 28/50, 0.115 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 29/50, 0.133 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 30/50, 0.135 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 31/50, 0.137 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 32/50, 0.139 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 33/50, 0.141 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 34/50, 0.142 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 35/50, 0.144 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 36/50, 0.167 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 37/50, 0.172 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:136] Best propensity score match found:\n",
      "INFO [matcher.py:137] \tModel: LogisticRegression\n",
      "INFO [matcher.py:139] \t* C: 0.5868985298319505\n",
      "INFO [matcher.py:139] \t* fit_intercept: False\n",
      "INFO [matcher.py:139] \t* max_iter: 500\n",
      "INFO [matcher.py:139] \t* penalty: l1\n",
      "INFO [matcher.py:139] \t* solver: saga\n",
      "INFO [matcher.py:140] \tScore (beta): 0.0249\n",
      "INFO [matcher.py:141] \tSolution time: 0.195 min\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 38/50, 0.195 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 39/50, 0.197 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 40/50, 0.199 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 41/50, 0.201 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 42/50, 0.203 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 43/50, 0.213 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 44/50, 0.233 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 45/50, 0.234 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 46/50, 0.235 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 47/50, 0.257 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 48/50, 0.279 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 49/50, 0.281 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 50/50, 0.282 min) ...\n",
      "INFO [matcher.py:136] Best propensity score match found:\n",
      "INFO [matcher.py:137] \tModel: LogisticRegression\n",
      "INFO [matcher.py:139] \t* C: 0.5868985298319505\n",
      "INFO [matcher.py:139] \t* fit_intercept: False\n",
      "INFO [matcher.py:139] \t* max_iter: 500\n",
      "INFO [matcher.py:139] \t* penalty: l1\n",
      "INFO [matcher.py:139] \t* solver: saga\n",
      "INFO [matcher.py:140] \tScore (beta): 0.0249\n",
      "INFO [matcher.py:141] \tSolution time: 0.195 min\n",
      "INFO [initialization.py:66] \tbeta:\t0.025\n",
      "INFO [initialization.py:71] \tIncluded in initial population.\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO [initialization.py:132] Sampling 512 candidate populations according to PROPENSITY distribution ...\n",
      "\n",
      "INFO [initialization.py:132] Sampling 511 candidate populations according to UNIFORM distribution ...\n",
      "\n",
      "INFO [logger.py:34] Generation 0\n",
      "INFO [logger.py:35] \tremaining patients: 10000\n",
      "INFO [logger.py:36] \telapsed time: 0.31 min\n",
      "INFO [logger.py:45] \tbest beta: 0.02494 \tworst beta: 0.25118\n",
      "INFO [logger.py:34] Generation 1000\n",
      "INFO [logger.py:35] \tremaining patients: 7451\n",
      "INFO [logger.py:36] \telapsed time: 4.36 min\n",
      "INFO [logger.py:45] \tbest beta: 0.01141 \tworst beta: 0.24623\n",
      "INFO [matcher.py:211] Time limit exceeded. Stopping.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "        <b>Headers Numeric: </b><br>\n",
       "        ['age', 'height', 'weight']<br><br>\n",
       "        <b>Headers Categoric: </b><br>\n",
       "        ['gender', 'haircolor', 'country', 'binary_0', 'binary_1', 'binary_2', 'binary_3'] <br><br>\n",
       "        <b>Populations</b> <br>\n",
       "        ['pool', 'target'] <br>\n",
       "        <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>age</th>\n",
       "      <th>height</th>\n",
       "      <th>weight</th>\n",
       "      <th>gender</th>\n",
       "      <th>haircolor</th>\n",
       "      <th>country</th>\n",
       "      <th>population</th>\n",
       "      <th>binary_0</th>\n",
       "      <th>binary_1</th>\n",
       "      <th>binary_2</th>\n",
       "      <th>binary_3</th>\n",
       "      <th>patient_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>55.261578</td>\n",
       "      <td>139.396134</td>\n",
       "      <td>94.438359</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>target</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>10000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>63.113091</td>\n",
       "      <td>165.563337</td>\n",
       "      <td>67.433016</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>target</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>10001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>58.232216</td>\n",
       "      <td>160.859857</td>\n",
       "      <td>71.915385</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>target</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>58.996941</td>\n",
       "      <td>140.357415</td>\n",
       "      <td>115.606615</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>target</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>36.850195</td>\n",
       "      <td>189.983706</td>\n",
       "      <td>53.000581</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>target</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>28.382714</td>\n",
       "      <td>155.203257</td>\n",
       "      <td>73.126127</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>pool</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4050</th>\n",
       "      <td>44.186246</td>\n",
       "      <td>133.221816</td>\n",
       "      <td>97.047691</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>pool</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8313</th>\n",
       "      <td>46.510049</td>\n",
       "      <td>130.960298</td>\n",
       "      <td>88.501597</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>pool</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7166</th>\n",
       "      <td>57.061793</td>\n",
       "      <td>157.544063</td>\n",
       "      <td>70.784043</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>pool</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>7166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>50.174501</td>\n",
       "      <td>161.973210</td>\n",
       "      <td>83.131287</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>pool</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>569</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2000 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "<pybalance.utils.matching_data.MatchingData at 0x7fd6e8686910>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matcher_beta.match()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "994754c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 750x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x900 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA+kAAAWpCAYAAAAFtVMpAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdeViU9f7/8dcM6yDihgsqhB5R4bjvaJqVW578anXStHKpY+ekFIZm2nG30rIUt/K0qFlup+V4bDWz1ETT1DRLJLUMjztupCAMzPz+8McUgTrAMHPDPB/XxSVzz33fn/fczsyL98y9mOx2u10AAAAAAMDjzJ4uAAAAAAAAXEWTDgAAAACAQdCkAwAAAABgEDTpAAAAAAAYBE06AAAAAAAGQZMOAAAAAIBB0KQDAAAAAGAQNOkAAAAAABiEr6cLcDebzabjx4+rYsWKMplMni4HAADZ7Xb9+uuvql27tsxmPj93BfIeAGAkRcl6r2vSjx8/rvDwcE+XAQBAAUePHlXdunU9XUa5QN4DAIzImaz3uia9YsWKkq5unJCQEA9Xg8JYrVZ99tln6tGjh/z8/DxdDlDm8ZoyvvT0dIWHhzsyCiVH3juH9wfcCM8R3AjPEecUJeu9rknP2+UtJCSE0DYoq9WqoKAghYSE8EIHXIDXVNnBbtmuQ947h/cH3AjPEdwIz5GicSbrOfANAAAAAACDoEkHAAAAAMAgaNIBAAAAADAIrzsmHYD3stvtysnJUW5urqdLcSur1SpfX19duXLF6x67Ufj4+MjX15djzgGglHlr1nsSf2f8xs/PTz4+PiVeD006AK+QnZ2tEydOKCMjw9OluJ3dbletWrV09OhRmkQPCgoKUlhYmPz9/T1dCgCUS96c9Z7E3xm/MZlMqlu3roKDg0u0Hpp0AOWezWbTzz//LB8fH9WuXVv+/v5eFSI2m02XLl1ScHCwzGaOcnI3u92u7OxsnTlzRj///LOioqL4fwAAF/P2rPck/s64ym6368yZM/rf//6nqKioEn2jTpMOoNzLzs6WzWZTeHi4goKCPF2O29lsNmVnZyswMNCrw9OTLBaL/Pz89Msvvzj+LwAAruPtWe9J/J3xm+rVq+vIkSOyWq0latK9eysC8CreHhzwLJ5/AFD6eK+FJ7lq7w2exQAAAAAAGARNOgDgurp27apRo0YZZj0AAMD1yHvj4Jh0AIBLbdy4UbfeeqvOnz+vypUrO6a///778vPz81xhAADAZfLy/uzZs/kOMyDvS44mHQDgFlWrVvV0CQAAoJSR9yXH7u4AYFBdu3ZVXFyc4uLiVKlSJYWGhmrixImy2+2SpPPnz2vw4MGqUqWKgoKCdMcdd+jgwYOO5ZcuXarKlStrzZo1at26tYKCgtSzZ08dPXrUMc/QoUPVr1+/fOOOGjVKXbt2vWZdb731ltq0aaOKFSuqVq1aGjRokE6fPi1JOnLkiG699VZJUpUqVWQymTR06FDH4/n97m/O1r9u3TpFR0crODhYvXr10okTJ4qzOQEAMCRX5n1UVJQCAwPdmvfVqlVTlSpVNGzYMMfjIe9LhiYdAAzszTfflK+vr3bs2KG5c+dq9uzZev311yVdDdydO3dq7dq12rZtm+x2u3r37i2r1epYPiMjQzNmzNArr7yir776ShcuXNB9991XopqsVqumT5+uvXv3as2aNTpy5IijEQ8PD9d7770nSUpJSdGJEyc0d+7cQtfjbP0vvvii3nrrLW3evFmpqakaM2ZMieoHAMBoXJH3zz77rJYtW6akpCS35n1ycrIOHDigxMTEQtdD3hcdu7sDgIGFh4drzpw5MplMatSokfbt26c5c+aoa9euWrt2rZKSktSxY0dJ0vLlyxUeHq41a9bo3nvvlXQ1YOfNm6fo6GiFhITozTffVHR0tHbs2KF27doVq6aHHnrI8Xv9+vU1b948tW3bVpcuXVJwcLBjN7caNWrkOyb99w4ePOh0/YsWLdKf/vQnSVJcXJymTZtWrLoBADAqV+T9ggUL1L59e0lye96bzWaFhIQUWAd5Xzx8kw4ABtahQ4d819yMjY3VwYMHtX//fvn6+jrCWLq6u1mjRo2UnJzsmObr66u2bds6bjdu3FiVK1fON09R7dq1S3369FFERIQqVqyoW265RZKUmprq9DqSk5Odqj8oKMgR2JIUFhbm2NUOAIDygrwn73+PJh0AvJjZbHYc85bn97uf/dHly5fVs2dPhYSEaPny5frmm2/0n//8R5KUnZ3t8vr+eHZYk8lUoF4AAHB95H3ZQpMOAAa2ffv2fLe//vprRUVFKSYmRjk5OfnuP3v2rFJSUhQTE+OYlpOTo507dzpup6Sk6MKFC4qOjpYkVa9evcCJWfbs2XPNeg4cOKCzZ89q5syZ6ty5sxo3blzgk25/f39JUm5u7jXXEx0d7VT9AAB4A/Iev0eTDgAGlpqaqoSEBKWkpGjlypWaP3++4uPjFRUVpb59+2r48OHasmWL9u7dqwceeEB16tRR3759Hcv7+fkpPj5eO3fu1K5duzR06FB16NDBcXzabbfdpp07d2rZsmU6ePCgJk+erO+///6a9URERMjf31/z58/XTz/9pLVr12r69On55rnppptkMpn04Ycf6syZM7p06VKB9ThbPwAA3sAVef/YY49p+/btHsn7tLQ08t6FaNIBwMAGDx6szMxMtWvXTiNHjlR8fLweeeQRSdKSJUvUunVr3XnnnYqNjZXdbtfHH3+cb5exoKAgPfnkkxo+fLg6d+6s4OBgrV692nF/z549NXHiRI0dO1Zt27bVr7/+qsGDB1+znurVq2vp0qV65513FBMTo5kzZ+rFF1/MN0+dOnU0depUjRs3TjVr1lRcXFyh63KmfgAAvIEr8v6pp57SoEGD1KlTJ7fm/dNPP62GDRvqscceK3Rd5H3RmexetrN/enq6KlWqpIsXLxZ6BkJ4ntVq1ccff6zevXvz4oVLXLlyRT///LPq1aunwMBAT5fjtK5du6pFixbXvKTJjSxdulSjRo3SuXPnlJ6erpCQEJnNfDbrKdd7HpJNrsc2dQ6ZixspK8+Rspr1kuvy/sKFCy6ty1k2m42/M/4/V2W9d29FAAAAAAAMhCYdAAAAAACD8PV0AQCAwm3cuLFEyw8dOlRDhw6VzWZzTUEAAMDlXJX3KD/4Jh0AAAAAAIOgSQcAAAAAwCBo0gEAAAAAMAiadAAAAAAADIImHQAAAAAAg6BJBwAAAADAILgEGwCvlpqaqrS0NLeNFxoaqoiICLeN56zIyEiNGjVKo0aNuuY82dnZiomJ0bJly9SxY0f3FWcAJpNJ//nPf9SvX79C79+/f7969OihlJQUVahQwb3FAQCui6y/iqy/PiNlPU06AK+Vmpqqxo2jlZmZ4bYxLZYgHTiQbMjwvpFFixapXr16ZTq0jxw5onr16unbb79VixYtXLbemJgYdejQQbNnz9bEiRNdtl4AQMmQ9UVD1l+bO7OeJh2A10pLS1NmZobaPzRZIWGRpT5e+okj2r54qtLS0spccNvtdi1YsEDTpk0r8Xpyc3Pl61v+4mfYsGEaPny4xo8fXy4fHwCURWS988j6G3NX1nNMOgCvFxIWqaoRjUr9pzh/HHTt2lVxcXGKi4tTpUqVFBoaqokTJ8putzvmOX/+vAYPHqwqVaooKChId9xxhw4ePJhvPWvXrlXTpk0VEBCgyMhIvfTSS0WqY9euXTp8+LD+8pe/OKYdOXJEJpNJq1atUseOHRUYGKgmTZpo06ZNjnk2btwok8mkTz75RK1bt1ZAQIC2bNkim82mGTNmqF69erJYLGrevLnefffdAsutW7dOLVu2lMVi0W233abTp0/rk08+UXR0tEJCQjRo0CBlZPz27cinn36qm2++WZUrV1a1atV055136vDhw47769WrJ0lq2bKlTCaTunbt6rhv8eLF+vOf/6yAgACFhYUpLi4u3zZIS0vTXXfdpaCgIEVFRWnt2rX57u/evbvOnTuX7/EDAIzBG7L+vffec+SYu7O+SpUqZL0L0aQDgMG9+eab8vX11Y4dOzR37lzNnj1br7/+uuP+oUOHaufOnVq7dq22bdsmu92u3r17y2q1SroausOGDdOAAQO0b98+TZkyRRMnTtTSpUudruGrr75Sw4YNVbFixQL3Pfnkkxo9erS+/fZbxcbGqk+fPjp79my+ecaNG6eZM2cqOTlZzZo104wZM7Rs2TItWrRIP/zwg5544gk98MADBUJvypQpWrBggbZu3aqjR4+qf//+SkxM1IoVK/TRRx/ps88+0/z58x3zX758WQkJCdq5c6c2bNggs9msu+66SzabTZK0Y8cOSdLnn3+uEydO6P3335ckvfLKKxo5cqQeeeQR7du3T2vXrlWDBg3y1TJ16lT1799f3333nXr37q37779f586dc9zv7++vFi1a6KuvvnJ6uwIAILkm6/v376/77rvPY1n/9NNPk/UuUv72QQCAciY8PFxz5syRyWRSo0aNtG/fPs2ZM0fDhw/XwYMHtXbtWiUlJTmOH1u+fLnCw8O1Zs0a3XvvvZozZ45uueUWTZgwQWazWQ0bNtT+/fs1a9YsDR061KkafvnlF9WuXbvQ++Li4nTPPfdIuhqAn376qd544w2NHTvWMc+0adPUvXt3SVJWVpaee+45ff7554qNjZUk1a9fX1u2bNG//vUv3XLLLY7lnnnmGXXq1EmS9PDDD2v8+PE6fPiw6tevL0n661//qi+//FJPPfWUJDnqyLN48WJVr15d+/fvV5MmTVS9enVJUrVq1VSrVq1844wePVrx8fGOaW3bts23rqFDh2rgwIGSpOeee07z5s3Tjh071KtXL8c8tWvX1i+//HL9jQkAwB+UNOtnz56t22+/3XGstCeyfsqUKWS9i/BNOgAYXIcOHWQymRy3Y2NjdfDgQeXm5io5OVm+vr5q37694/5q1aqpUaNGSk5OliQdOHAg3/2S1KlTJ8c6nJGZmanAwMBC78sLX0ny9fVVmzZtHGPnadOmjeP3Q4cOKSMjQ927d1dwcLDjZ9myZfl2V5OkZs2aOX6vWbOmgoKCHKGdN+306dOO2wcPHtTAgQNVv359hYSEKDIyUtLVEwddy+nTp3X8+HHdfvvt19kC+WupUKGCQkJC8o0tSRaLJd8ueQAAOKOkWZ+cnOxodPOQ9b8pa1nv8SZ94cKFioyMVGBgoNq3b+/YPeFaEhMT1ahRI1ksFoWHh+uJJ57QlStX3FQtAHin0NBQnT9/vtjL//5SJZcuXZIkffTRR9qzZ4/jZ//+/fmOVZMkPz8/x+8mkynf7bxpebu3SVKfPn107tw5vfbaa9q+fbu2b98u6eolZa7FYrE49RhuNLYknTt3zvEJPvIj7wHA2Mh642S9R5v01atXKyEhQZMnT9bu3bvVvHlz9ezZs8CnFXlWrFihcePGafLkyUpOTtYbb7yh1atX6+mnn3Zz5QDgPnnhk+frr79WVFSUfHx8FB0drZycnHzznD17VikpKYqJiZEkNW7cuMA6kpKS1LBhQ/n4+DhVQ8uWLXXgwIF8J7H5fT15cnJytGvXLkVHR19zXTExMQoICFBqaqoaNGiQ7yc8PNypegqT97gnTJig22+/XdHR0QX+2PD395ekfN8qVKxYUZGRkdqwYUOxx87z/fffq2XLliVeT3lD3gPA9ZU066Ojo5WUlJRvHWR92c16jx6TPnv2bA0fPlzDhg2TdPW6fB999JEWL16scePGFZh/69at6tSpkwYNGiRJioyM1MCBAws8qQGgPElNTVVCQoL+/ve/a/fu3Zo/f77jjK1RUVHq27evhg8frn/961+qWLGixo0bpzp16qhv376SpISEBLVv317PPPOM7rvvPm3btk0LFizQyy+/7HQNt956qy5duqQffvhBTZo0yXffwoULFRUVpejoaM2ZM0fnz5/XQw89dM11VaxYUWPGjNETTzwhm82mm2++WRcvXlRSUpJCQkI0ZMiQYmwlqUqVKqpWrZpeffVVhYWFKTU1tUCW1KhRQxaLRZ9++qnq1q2rwMBAVapUSVOmTNE//vEP1ahRQ3fccYd+/fVXJSUl6bHHHnN6/CNHjujYsWPq1q1bseovz8h7ALi+kmb96NGj1bZtW02fPl0DBgwg68t41nusSc/OztauXbs0fvx4xzSz2axu3bpp27ZthS7TsWNHvf3229qxY4fatWunn376SR9//LEefPDBa46TlZWlrKwsx+309HRJktVqdZwNEcaS9//C/w9cxWq1ym63y2az5dtlKe/39ONHpIIfGrtc+okjjnH/uOvU9Tz44IPKyMhQu3bt5OPjo8cff1x/+9vfHOt44403NGrUKN15553Kzs5W586d9eGHH8rHx0c2m00tW7bUkiVL9Pzzz+uZZ55RWFiYpk6dqsGDB+erI28bFaZKlSrq16+f3n77bT333HOOxyFdPbHKzJkztWfPHjVo0EBr1qxR1apV8z3OPz7mqVOnKjQ0VDNmzNBPP/2kypUrq2XLlho/fvw1l/vjv3k1/37aihUrNGrUKDVp0kSNGjVSYmKibrvtNsd6zGazEhMT9cwzz2jSpEnq3LmzvvjiC8c2njt3rsaMGaPQ0FDdc889BZ4vf9w+v5+2YsUKde/eXeHh4YVuR5vNJrvdLqvVWuBbjfL8fkfeGxuZixspK88Rb8/6Fi1aaNWqVZoyZYqmT5/u1qzPy+I/rpusL37Wm+yF7c/gBsePH1edOnW0devWfCciGDt2rDZt2nTNT8vnzZunMWPGyG63KycnR//4xz/0yiuvXHOcKVOmaOrUqQWmr1ixQkFBQSV/IAAMz9fXV7Vq1VJ4eLhjFyhJOnr0qNq1b68rmZluqyXQYtGO7dud3tXrzjvvVNOmTTVjxoxSruzGvv/+e919993avXu3goODlZqaqubNm2vz5s1q2rSpp8vzqOzsbLVu3VqvvfaaOnTocM15jh49qpMnTyonJyfffRkZGRo0aJAuXryokJAQd5TsNuQ9AHcg612DrL82d2Z9mboE28aNG/Xcc8/p5ZdfVvv27XXo0CHFx8dr+vTpjssN/NH48eOVkJDguJ2enq7w8HD16NGj3P0hVF5YrVatX79e3bt3L3DyBqA4rly5oqNHjyo4ODjfWUv//Oc/K3n/fqWlpbmtltDQUEVERDg9v6+vr/z9/Uv0fmW32/Xrr7+qYsWK+c4cW1QdO3bUzJkzdfbsWdWuXVvBwcGSfjv7qTc7dOiQnn76afXo0eOa81y5ckUWi0VdunQpcPbcvG99cRV57z5kLm6krDxHvD3rXaU4We+qvzOMzp1Z77EmPTQ0VD4+Pjp16lS+6adOncp3Pbvfmzhxoh588EH97W9/kyQ1bdpUly9f1iOPPKJ//vOfMpsLngcvICBAAQEBBab7+fkZ+o0G/B/BdXJzc2UymWQ2mwu8T0RGRjou3WFUebUXV97uWCVdj6R8x5/lrauw7eptGjZsqIYNG153HrPZ7Dhr7R/f28rzex15XzawnXAjRn+OeHvWu1JRs96Vf2cYmTuz3mNNur+/v1q3bq0NGzaoX79+kq7+B2/YsEFxcXGFLpORkVHgPz5vX38P7bUPAKVq48aNni7hmiIjI3nvxQ2R9wBwfWQ9/siju7snJCRoyJAhatOmjdq1a6fExERdvnzZcfbXwYMHq06dOo7jM/r06aPZs2erZcuWjt3fJk6cqD59+jh9aQEAAOBe5D0AAM7zaJM+YMAAnTlzRpMmTdLJkyfVokULffrpp6pZs6akq5ci+P0n6RMmTJDJZNKECRN07NgxVa9eXX369NGzzz7rqYcAAABugLwHAMB5Hj9xXFxc3DV3d/vjrh++vr6aPHmyJk+e7IbKAACAq5D3AAA4p/we2Q8AAAAAQBlDkw4AAAAAgEHQpAMAAAAAYBAePyYdADwpNTVVaWlpbhsvNDRUERERbhvPGZGRkRo1apRGjRrl6VIAAHA5sp6sL2to0gF4rdTUVEU3bqSMzCtuGzPIEqjkAymGC28AAMojsh5lEU06AK+VlpamjMwrevuRFooOCy718ZJPXNIDr+5RWloawQ0AgBuQ9SiLaNIBeL3osGC1iqzk6TIK1bVrVzVp0kSS9NZbb8nPz0+PPvqopk2bJpPJpPPnzys+Pl4ffPCBsrKydMstt2jevHmKiopyrOO9997TpEmT9NNPPyksLEyPPfaYRo8e7amHBACA23lL1h86dIisLwc4cRwAGNybb74pX19f7dixQ3PnztXs2bP1+uuvS5KGDh2qnTt3au3atdq2bZvsdrt69+4tq9UqSdq1a5fuu+8+3X333dq7d6+mTJmiiRMnaunSpR58RAAA4PdKmvX9+/fXfffdp3379pH15QDfpAOAwYWHh2vOnDkymUxq1KiR9u3bpzlz5qhr165au3atkpKS1LFjR0nS8uXLFR4erjVr1ujee+/V7Nmzddttt+nJJ59USEiIGjdurP3792vWrFkaOnSoZx8YAACQVPKsv/322zVx4kRJUsOGDcn6Mo5v0gHA4Dp06CCTyeS4HRsbq4MHD2r//v3y9fVV+/btHfdVq1ZNjRo1UnJysiQpOTlZnTp1yre+Tp066eDBg8rNzXXPAwAAANdF1uP3aNIBAAAAADAImnQAMLjt27fnu/31118rKipKMTExysnJyXf/2bNnlZKSopiYGElSdHS0kpKS8i2flJSkhg0bysfHp/SLBwAAN0TW4/do0gHA4FJTU5WQkKCUlBStXLlS8+fPV3x8vKKiotS3b18NHz5cW7Zs0d69e/XAAw+oTp066tu3ryRp9OjR+uKLLzRr1iz9+OOPevPNN7VgwQKNGTPGw48KAADkKWnWb9iwQdOnTyfrywlOHAfA6yWfuGTocQYPHqzMzEy1a9dOPj4+io+P1yOPPCJJWrJkieLj43XnnXcqOztbXbp00ccffyw/Pz9JUqtWrbRq1SpNmjRJs2bNUlhYmKZNm8aJZAAAXqW8Z/2///1vTZo0SdOnTyfrywGadABeKzQ0VEGWQD3w6h63jRlkCVRoaGiRlvHz81NiYqJeeeWVAvdVqVJFy5Ytu+7y99xzj7p3766QkBCZzQV3oDpy5EiR6gEAoKzwpqy/5557rnk/WV+20KQD8FoRERFKPpCitLQ0t40ZGhqqiIgIt40HAIA3I+tRFtGkA/BqERERBCkAAOUYWY+yhiYdAAxs48aNni4BAACUIrIef8TZ3QEAAAAAMAiadAAAAAAADIImHQAAAAAAg6BJBwAAAADAIGjSAQAAAAAwCJp0AAAAAAAMgkuwAfBqqampSktLc9t4oaGhXKsVAAA3IutR1tCkA/BaqampahzdWJkZmW4b0xJk0YHkA06Hd9euXdWiRQslJiaWbmFOMlo9AABcD1lfdEarxxvRpAPwWmlpacrMyFSXsV1UKbxSqY938ehFbX5hs9LS0tz6CXt2drbbxgIAwEi8Kev9/f3dNh5KF8ekA/B6lcIrKTQqtNR/ivrHwdChQ7Vp0ybNnTtXJpNJJpNJhw8f1sMPP6x69erJYrGoUaNGmjt3boHl+vXrp2effVa1a9dWdHS0JGnr1q1q0aKFAgMD1aZNG61Zs0Ymk0l79uxxLPv999/rjjvuUHBwsGrWrKkHH3zQsYtgYfUcOXKkRNseAAB3KO9Z36hRI0lkfXnBN+kAYFBz587Vjz/+qCZNmmjatGmSpCpVqqhu3bp65513VK1aNW3dulWPPPKIwsLC1L9/f8eyGzZsUEhIiNavXy+bzab09HT17dtXvXv31ooVK/TLL79o1KhR+ca7cOGCbrvtNv3tb3/TnDlzlJmZqaeeekr9+/fXF198UWg91atXd9v2AACgvHFV1ktSenq6+vTpQ9aXAzTpAGBQlSpVkr+/v4KCglSrVi3H9KlTpzp+r1evnrZt26Z///vf+YK7QoUKev311+Xv7y+bzabExESZTCa99tprCgwMVExMjI4dO6bhw4c7llmwYIFatmyp5557zjFt8eLFCg8P148//qiGDRsWWg8AACgeV2W9JC1atIisLydo0gGgjFm4cKEWL16s1NRUZWZmKjs7Wy1atMg3T9OmTfMdm3bo0CE1a9ZMgYGBjmnt2rXLt8zevXv15ZdfKjg4uMCYhw8fVsOGDV37QAAAQKGKk/UpKSlkfTlBkw4AZciqVas0ZswYvfTSS4qNjVXFihU1a9Ysbd++Pd98FSpUKPK6L126pD59+uj5558vcF9YWFixawYAAM4j60GTDgAG5u/vr9zcXMftpKQkdezYUSNGjHBMO3z48A3X06BBA73zzjvKyspSQECAJOmbb77JN0+rVq303nvvKTIyUr6+hcfDH+sBAAAl46qsb9Sokd5++22yvhzg7O4AYGCRkZHavn27jhw5orS0NEVFRWnnzp1at26dfvzxR02cOLFAABfmr3/9q2w2mx555BElJydr3bp1evHFFyVJJpNJkjRy5EidO3dOAwcO1DfffKPDhw9r3bp1GjZsmCOs/1iPzWYrvQcPAIAXcFXWDxo0iKwvJ/gmHYDXu3j0omHHGTNmjIYMGaKYmBhlZmbqwIED+vbbbzVgwACZTCYNHDhQI0aM0CeffHLd9YSEhOi///2vRo4cqRYtWqhp06aaNGmSBg0a5Dh2rXbt2kpKStJTTz2lHj16KCsrSzfddJN69eols9lcaD0///yzIiMji/y4AABwJ2/J+g8++ECPPvooWV/Gmex2u93TRbhTenq6KlWqpIsXLyokJMTT5aAQVqtVH3/8sXr37i0/Pz9Pl4Ny4MqVK/r5559Vr169fCdTSU1NVePoxsrMyHRbLZYgiw4kH1BERITbxsy7BFtISIgjgCVp+fLlGjZsmC5evCiLxeK2erzVtZ6HEtlUGtimziFzcSNl5Tni7Vl/Le7I+mv9neGNXJX1fJMOwGtFREToQPIBpaWluW3M0NBQj4X2smXL1KBBA9WpU0d79+51XBeVBh0AUF55Y9bXr1+frC/jaNIBeLWIiAhDfNLtDqdOndKUKVN08uRJhYWF6d5779Wzzz7r6bIAAChV3pT1J0+e1KRJk8j6Mo4mHQC8xJNPPqmnnnrK02UAAIBSMnbsWI0dO9bTZaCEvPugAQAAAAAADIQmHQAAAAAAg6BJB+A1uM4nPInnHwCUPt5r4UmuunAax6QDKPf8/f1lNpt1/PhxVa9eXf7+/jKZTJ4uy21sNpuys7N15coVr780iifY7XZlZ2frzJkzMpvN8vf393RJAFDueHvWexJ/Z1xlt9t15swZmUymEl+ukCYdQLlnNptVr149nThxQsePH/d0OW5nt9uVmZkpi8XCHyweFBQUpIiICK/+AwYASou3Z70n8XfGb0wmk+rWrSsfH58SrYcmHYBX8Pf3V0REhHJycpSbm+vpctzKarVq8+bN6tKlS4k/2UXx+Pj4yNfX1+v/eAGA0uTNWe9J/J3xGz8/vxI36BJNOgAvkrf7kbcFiI+Pj3JychQYGOh1jx0A4F28Nes9ib8zXI997gAAAAAAMAiadAAAAAAADIImHQAAAAAAg6BJBwAAAADAIGjSAQAAAAAwCJp0AAAAAAAMgiYdAAAAAACD8HiTvnDhQkVGRiowMFDt27fXjh07rjv/hQsXNHLkSIWFhSkgIEANGzbUxx9/7KZqAQBAcZD3AAA4x9eTg69evVoJCQlatGiR2rdvr8TERPXs2VMpKSmqUaNGgfmzs7PVvXt31ahRQ++++67q1KmjX375RZUrV3Z/8QAAwCnkPQAAzvNokz579mwNHz5cw4YNkyQtWrRIH330kRYvXqxx48YVmH/x4sU6d+6ctm7dKj8/P0lSZGSkO0sGAABFRN4DAOA8jzXp2dnZ2rVrl8aPH++YZjab1a1bN23btq3QZdauXavY2FiNHDlS//3vf1W9enUNGjRITz31lHx8fApdJisrS1lZWY7b6enpkiSr1Sqr1erCRwRXyft/4f8HcA1eU8ZXnv9vyHtj4/0BN8JzBDfCc8Q5Rdk+HmvS09LSlJubq5o1a+abXrNmTR04cKDQZX766Sd98cUXuv/++/Xxxx/r0KFDGjFihKxWqyZPnlzoMjNmzNDUqVMLTP/ss88UFBRU8geCUrN+/XpPlwCUK7ymjCsjI8PTJZQa8r5s4P0BN8JzBDfCc+T6ipL1Ht3dvahsNptq1KihV199VT4+PmrdurWOHTumWbNmXTO0x48fr4SEBMft9PR0hYeHq0ePHgoJCXFX6SgCq9Wq9evXq3v37o7dHAEUH68p48v71hdXkffuw/sDboTnCG6E54hzipL1HmvSQ0ND5ePjo1OnTuWbfurUKdWqVavQZcLCwuTn55dvV7fo6GidPHlS2dnZ8vf3L7BMQECAAgICCkz38/PjSWRw/B8BrsVryrjK8/8LeV82sJ1wIzxHcCM8R66vKNvGY5dg8/f3V+vWrbVhwwbHNJvNpg0bNig2NrbQZTp16qRDhw7JZrM5pv34448KCwsrNLABAIBnkfcAABSNR6+TnpCQoNdee01vvvmmkpOT9eijj+ry5cuOs78OHjw434lmHn30UZ07d07x8fH68ccf9dFHH+m5557TyJEjPfUQAADADZD3AAA4z6PHpA8YMEBnzpzRpEmTdPLkSbVo0UKffvqp4+QyqampMpt/+xwhPDxc69at0xNPPKFmzZqpTp06io+P11NPPeWphwAAAG6AvAcAwHkeP3FcXFyc4uLiCr1v48aNBabFxsbq66+/LuWqAACAK5H3AAA4x6O7uwMAAAAAgN/QpAMAAAAAYBDFatK//PJLV9cBAAAMhrwHAMD9itWk9+rVS3/605/0zDPP6OjRo66uCQAAGAB5DwCA+xWrST927Jji4uL07rvvqn79+urZs6f+/e9/Kzs729X1AQAADyHvAQBwv2I16aGhoXriiSe0Z88ebd++XQ0bNtSIESNUu3ZtPf7449q7d6+r6wQAAG5G3gMA4H4lPnFcq1atNH78eMXFxenSpUtavHixWrdurc6dO+uHH35wRY0AAMDDyHsAANyj2E261WrVu+++q969e+umm27SunXrtGDBAp06dUqHDh3STTfdpHvvvdeVtQIAADcj7wEAcC/f4iz02GOPaeXKlbLb7XrwwQf1wgsvqEmTJo77K1SooBdffFG1a9d2WaEAAMC9yHsAANyvWE36/v37NX/+fN19990KCAgodJ7Q0FAu3QIAQBlG3gMA4H7F2t198uTJuvfeewsEdk5OjjZv3ixJ8vX11S233FLyCgEAgEeQ9wAAuF+xmvRbb71V586dKzD94sWLuvXWW0tcFAAA8DzyHgAA9ytWk26322UymQpMP3v2rCpUqFDiogAAgOeR9wAAuF+Rjkm/++67JUkmk0lDhw7Nt/tbbm6uvvvuO3Xs2NG1FQIAALci7wEA8JwiNemVKlWSdPWT9YoVK8pisTju8/f3V4cOHTR8+HDXVggAANyKvAcAwHOK1KQvWbJEkhQZGakxY8awqxsAAOUQeQ8AgOcU6xJskydPdnUdAADAYMh7AADcz+kmvVWrVtqwYYOqVKmili1bFnoimTy7d+92SXEAAMC9yHsAADzL6Sa9b9++jhPH9OvXr7TqAQAAHkTeAwDgWU436b/f5Y3d3wAAKJ/IewAAPKtYx6TDu6SmpiotLc1t49lsNknS3r17ZTab3TJmVlZWvksMlUehoaGKiIjwdBlOcfdzzhPK0v8HAAAA3MfpJr1KlSrXPS7t986dO1fsgmAsqampim7cSBmZV9w2psVi0cqVK9WlSxdlZma6ZUyzSbLZ3TKUx1iCLDqQfMDwjWFqaqoaN45WZmaGp0spVRZLkA4cSDb8/we8D3kPAIBnOd2kJyYmlmIZMKq0tDRlZF7R24+0UHRYsFvGtJn9dUzS5nGxMtuyS3283T+d0fC3UtRycEvVbVu31MfzhItHL2rzC5uVlpZm+KYwLS1NmZkZav/QZIWERXq6nFKRfuKIti+eWib+P+B9yHsAADzL6SZ9yJAhpVkHDC46LFitIiu5ZSyr/HRMUvOIEPnJWurjXc64LEkKrhWs0KjQUh8PzgkJi1TViEaeLgPwOuQ9AACe5XSTnp6erpCQEMfv15M3HwAAKFvIewAAPKtIx6SfOHFCNWrUUOXKlQs9Xs1ut8tkMik3N9elRQIAAPcg7wEA8Cynm/QvvvhCVatWlSR9+eWXpVYQAADwHPIeAADPcrpJv+WWWwr9HQAAlB/kPQAAnlXs66SfP39eb7zxhpKTkyVJMTExGjZsmOPTdwAAUPaR9wAAuFexmvTNmzerT58+qlSpktq0aSNJmjdvnqZNm6YPPvhAXbp0cWmRRpaamqq0tDRPl1Fq8v4oA+B67np92Ww2SdLevXtlNpvdMqYkZWVlKSAgwG3jeUJoaGi5voweeQ8AgPsVq0kfOXKkBgwYoFdeeUU+Pj6SpNzcXI0YMUIjR47Uvn37XFqkUaWmpqpx42hlZmZ4upRSZtKJi1ckuecSbEB5Z83KliQ98MADbhnPYrFo5cqV6tKlizIzM90ypiSZTZLN7rbhPMISZNGB5APltlEn7wEAcL9iNemHDh3Su+++6whsSfLx8VFCQoKWLVvmsuKMLi0tTZmZGWr/0GSFhEV6upxScebnA9qz4nldyMjxdClAuZGTc/X1NP3uhurdtEapj2cz++uYpM3jYmW2ZZf6eJK0+6czGv5WiloObqm6beu6ZUx3u3j0oja/sFlpaWnltkkn7wEAcL9iNemtWrVScnKyGjVqlG96cnKymjdv7pLCypKQsEhVjWh04xnLoMzL5X0vAcBz6oUGqVVk6e+hYpWfjklqHhEiP1lLfTxJupxxWZIUXCtYoVGhbhkTrkfeAwDgfk436d99953j98cff1zx8fE6dOiQOnToIEn6+uuvtXDhQs2cOdP1VQIAALcg7wEA8Cynm/QWLVrIZDLJbv/tAMOxY8cWmG/QoEEaMGCAa6oDAABuRd4DAOBZTjfpP//8c2nWAQAADIC8BwDAs5xu0m+66abSrAMAABgAeQ8AgGcV68Rxefbv36/U1FRlZ+c/W/D//d//lagoAABgHOQ9AADuU6wm/aefftJdd92lffv25TtuzWQySbp6DVUAAFC2kfcAALifuTgLxcfHq169ejp9+rSCgoL0ww8/aPPmzWrTpo02btzo4hIBAIAnkPcAALhfsb5J37Ztm7744guFhobKbDbLbDbr5ptv1owZM/T444/r22+/dXWdAADAzch7AADcr1jfpOfm5qpixYqSpNDQUB0/flzS1ZPNpKSkuK46AADgMeQ9AADuV6xv0ps0aaK9e/eqXr16at++vV544QX5+/vr1VdfVf369V1dIwAA8ADyHgAA9ytWkz5hwgRdvnxZkjRt2jTdeeed6ty5s6pVq6bVq1e7tEAAAOAZ5D0AAO5XrCa9Z8+ejt8bNGigAwcO6Ny5c6pSpYrjjK8AAKBsI+8BAHC/El0nXZKOHj0qSQoPDy9xMQAAwJjIewAA3KNYJ47LycnRxIkTValSJUVGRioyMlKVKlXShAkTZLVaXV0jAADwAPIeAAD3K9Y36Y899pjef/99vfDCC4qNjZV09TItU6ZM0dmzZ/XKK6+4tEgAAOB+5D0AAO5XrCZ9xYoVWrVqle644w7HtGbNmik8PFwDBw4ktAEAKAfIewAA3K9Yu7sHBAQoMjKywPR69erJ39+/pDUBAAADIO8BAHC/YjXpcXFxmj59urKyshzTsrKy9OyzzyouLs5lxQEAAM8h7wEAcD+nd3e/++67893+/PPPVbduXTVv3lyStHfvXmVnZ+v22293bYUAAMBtyHsAADzL6Sa9UqVK+W7fc889+W5zSRYAAMo+8h4AAM9yuklfsmRJqRWxcOFCzZo1SydPnlTz5s01f/58tWvX7obLrVq1SgMHDlTfvn21Zs2aUqsPAABvUVp5T9YDAOCcYh2TnufMmTPasmWLtmzZojNnzhRrHatXr1ZCQoImT56s3bt3q3nz5urZs6dOnz593eWOHDmiMWPGqHPnzsUaFwAAOKekeU/WAwDgvGI16ZcvX9ZDDz2ksLAwdenSRV26dFHt2rX18MMPKyMjo0jrmj17toYPH65hw4YpJiZGixYtUlBQkBYvXnzNZXJzc3X//fdr6tSpql+/fnEeAgAAuAFX5T1ZDwCA84p1nfSEhARt2rRJH3zwgTp16iRJ2rJlix5//HGNHj3a6eumZmdna9euXRo/frxjmtlsVrdu3bRt27ZrLjdt2jTVqFFDDz/8sL766qvrjpGVlZXvrLTp6emSJKvVKqvV6lSd12Kz2WSxWORnlnxNthKty6j8fUyyWCySb4Cs8nPLmHnjuGs8u4+/LBaL/H385Wsv1kvC8PxMfrJYLLLZbCV+3pc2Xleu5+7XlMTrqqiM+rp0Rd67I+ul0s378ixv27CNyqf//e9/Onv2bInWYbNdzeJvv/1WZnOJdsJVVlaWAgICSrQOV6tWrZrq1q3r6TLKNN5HnFOU7WOy2+32og4QGhqqd999V127ds03/csvv1T//v2d3hXu+PHjqlOnjrZu3arY2FjH9LFjx2rTpk3avn17gWW2bNmi++67T3v27FFoaKiGDh2qCxcuXPM4tSlTpmjq1KkFpq9YsUJBQUFO1QkAQGnKyMjQoEGDdPHiRYWEhHi6HAdX5L07sl4i7wEAxlaUrC/W1xsZGRmqWbNmgek1atQo8u7uRfHrr7/qwQcf1GuvvabQ0FCnlhk/frwSEhIct9PT0xUeHq4ePXqU+A+hvXv3qkuXLrp1zMuqEh5VonUZ1YmU77Tt5dF6bVgz9W8b5pYxrfLT+ir3q/v55fJT6X8ity3lhHrN/U4dR3VU/S7lc5fKs4fP6pMnP9HmzZsdl1EyKl5Xrufu15TE66qo8r71NRpP5H1xsl4q3byXXPONpCu56ts/q9Wq9evXq3v37vLzc9/eNih9eXn62rBmalSzQrHXYzP760TTfyhs3yKZbdnFr+dImh5bdVDNBjZTnVZ1ir0eV0o/lq6kxKQy8feRkfE+4pyiZH2xmvTY2FhNnjxZy5YtU2BgoCQpMzNTU6dOzfcp+Y2EhobKx8dHp06dyjf91KlTqlWrVoH5Dx8+rCNHjqhPnz6OaXm74Pj6+iolJUV/+tOf8i0TEBBQ6G41fn5+JX4Smc1mZWZmymqTcuwl2/3HqLJz7crMzJRystz2x30eP1ndMqYpN1uZmZnKzs1Wjimn1MfzBKvdqszMTJnNZsO/efK6Kj3uek1JvK6KyqivS1fkvTuyXirdvE9NTdWf/9xEmZml90VEUVksQTpwIFkREREuWZ8rthOMJS9Po6v7qVWEpdjrscpPJyS1rBsoP/kUez2Zl3yUmZkp/1B/VWpQ6cYLuEFZ+vuoLOB95PqKsm2K1aQnJiaqV69eqlu3ruNTp7179yowMFDr1q1zej3+/v5q3bq1NmzYoH79+km6GsQbNmxQXFxcgfkbN26sffv25Zs2YcIE/frrr5o7dy7XbgUAwIVckfflIevT0tKUmZmh9g9NVkhYpNvH/6P0E0e0ffFUpaWluaxJB+CdUlNTlZaWVqJ15H2Qunfv3nJ53oLQ0FC3v9cWq0lv2rSpDh48qOXLl+vAgQOSpIEDB+r++++/ejKkIkhISNCQIUPUpk0btWvXTomJibp8+bKGDRsmSRo8eLDq1KmjGTNmKDAwUE2aNMm3fOXKlSWpwHQAAFAyrsr78pL1IWGRqhrRyKM1AICrpKamKrpxI2VkXinReiwWi1auXKkuXbpc3VOwBMwmyVbkM6aVLkuQRQeSD7i1US9yk261WtW4cWN9+OGHGj58eIkLGDBggM6cOaNJkybp5MmTatGihT799FPHMXCpqakl/kQGAAAUjSvznqwHAONJS0tTRuYVvf1IC0WHBRd7PTazv45J2jwutkTnLdj90xkNfytFLQe3VN22xjjj/sWjF7X5hc1u33OpyE26n5+frlwp2actfxQXF1foLm+StHHjxusuu3TpUpfWAgAAXJ/3ZD0AGFN0WLBaRRb/PAFW+emYpOYRISU6983ljMuSpOBawQqNcv7EoeVRsT62HjlypJ5//nnl5JTPkwEBAADyHgAATyjWMenffPONNmzYoM8++0xNmzZVhQr5L+vw/vvvu6Q4AADgOeQ9AADuV6wmvXLlyrrnnntcXQsAADAQ8h4AAPcrUpNus9k0a9Ys/fjjj8rOztZtt92mKVOmFPmM7gAAwLjIewAAPKdIx6Q/++yzevrppxUcHKw6depo3rx5GjlyZGnVBgAAPIC8BwDAc4rUpC9btkwvv/yy1q1bpzVr1uiDDz7Q8uXLHRewBwAAZR95DwCA5xSpSU9NTVXv3r0dt7t16yaTyaTjx4+7vDAAAOAZ5D0AAJ5TpCY9JydHgYGB+ab5+fnJai3+9fAAAICxkPcAAHhOkU4cZ7fbNXToUAUEBDimXblyRf/4xz/yXZaFS7IAAFB2kfcAAHhOkZr0IUOGFJj2wAMPuKwYAADgeeQ9AACeU6QmfcmSJaVVBwAAMAjyHgAAzynSMekAAAAAAKD00KQDAAAAAGAQNOkAAAAAABgETToAAAAAAAZBkw4AAAAAgEHQpAMAAAAAYBA06QAAAAAAGARNOgAAAAAABkGTDgAAAACAQdCkAwAAAABgEDTpAAAAAAAYhK+nCwAAAADKutTUVKWlpXm6DIfk5GRPlwCgmGjSAQAAgBJITU1V48bRyszM8HQpf2DSiYtXJFXydCEAioAmHQAAACiBtLQ0ZWZmqP1DkxUSFunpciRJZ34+oD0rnteFjBxPlwKgiGjSAQAAABcICYtU1YhGni5DkpR52Wjf6gNwFk06AAAAAJQyzlsAZ9GkAwAAAEAp4rwFKAqadAAAAAAoRZy3AEVBkw4AAAAAbsB5C+AMs6cLAAAAAAAAV9GkAwAAAABgEDTpAAAAAAAYBE06AAAAAAAGQZMOAAAAAIBB0KQDAAAAAGAQNOkAAAAAABgETToAAAAAAAZBkw4AAAAAgEHQpAMAAAAAYBA06QAAAAAAGARNOgAAAAAABkGTDgAAAACAQdCkAwAAAABgEDTpAAAAAAAYBE06AAAAAAAGQZMOAAAAAIBB0KQDAAAAAGAQNOkAAAAAABgETToAAAAAAAZBkw4AAAAAgEHQpAMAAAAAYBA06QAAAAAAGARNOgAAAAAABuHr6QIkaeHChZo1a5ZOnjyp5s2ba/78+WrXrl2h87722mtatmyZvv/+e0lS69at9dxzz11zfgAA4HlkveslJyeXeB02m02StHfvXpnNJfvuJisrSwEBASWuyZVCQ0MVERHh6TIAoEg83qSvXr1aCQkJWrRokdq3b6/ExET17NlTKSkpqlGjRoH5N27cqIEDB6pjx44KDAzU888/rx49euiHH35QnTp1PPAIAADA9ZD1rmXNypYkPfDAAyVel8Vi0cqVK9WlSxdlZmaWaF1mk2Szl7gkl7IEWXQg+QCNOoAyxeNN+uzZszV8+HANGzZMkrRo0SJ99NFHWrx4scaNG1dg/uXLl+e7/frrr+u9997Thg0bNHjwYLfUDAAAnEfWu1ZOTo4kafrdDdW7acEPOYrCZvbXMUmbx8XKbMsu9np2/3RGw99KUcvBLVW3bd0S1eQqF49e1OYXNistLY0mHUCZ4tEmPTs7W7t27dL48eMd08xms7p166Zt27Y5tY6MjAxZrVZVrVq10PuzsrKUlZXluJ2eni5JslqtslqtJaj+6i5iFotFfmbJ12Qr0bqMyt/HJIvFIvkGyCo/t4yZN467xrP7+Mtiscjfx1++do9/blUq/Ex+slgsstlsJX7elzZeV67n7teUxOuqqIz+uiwJd2S95F15n/ceUq9WFTWNDC3Ruqzy0zFJMRHV5Kfib6dLWVZZLBZVrVNVtRrUKlFNruLO7DPac0RyXda4KkOMmAs8R3iO3Iinst5kt9s9tmPS8ePHVadOHW3dulWxsbGO6WPHjtWmTZu0ffv2G65jxIgRWrdunX744QcFBgYWuH/KlCmaOnVqgekrVqxQUFBQyR4AAAAukJGRoUGDBunixYsKCQnxdDku5Y6sl8h7AICxFSXrjfERRTHNnDlTq1at0saNG68Z2uPHj1dCQoLjdnp6usLDw9WjR48S/yG0d+9edenSRbeOeVlVwqNKtC6jOpHynba9PFqvDWum/m3D3DKmVX5aX+V+dT+/vESf6jtrW8oJ9Zr7nTqO6qj6XeqX+niecPbwWX3y5CfavHmzmjdv7ulyrovXleu5+zUl8boqqrxvfVGQM1kveVfeu/I9xFXvD0Z8zbsz+4z2HJFc9zzhOeIaPEdurLw/R4qS9R5t0kNDQ+Xj46NTp07lm37q1CnVqnX9XaVefPFFzZw5U59//rmaNWt2zfkCAgIKPdOon5+f/PxKtkuG2WxWZmamrDYpx14+r2aXnWu/eiKZnCy3/XGfx09Wt4xpys1WZmamsnOzlWPKKfXxPMFqtyozM1Nms7nEz/vSxuuq9LjrNSXxuioqo78uS8IdWS95V96XxntISd8fjPiad2f2Ge05Irn+ecJzpGR4jtxYeX+OFGV5jz5D/P391bp1a23YsMExzWazacOGDfl2ifujF154QdOnT9enn36qNm3auKNUAABQDGQ9AABF4/Hd3RMSEjRkyBC1adNG7dq1U2Jioi5fvuw4A+zgwYNVp04dzZgxQ5L0/PPPa9KkSVqxYoUiIyN18uRJSVJwcLCCg4M99jgAAEDhyHoAAJzn8SZ9wIABOnPmjCZNmqSTJ0+qRYsW+vTTT1WzZk1JUmpqqszm377wf+WVV5Sdna2//vWv+dYzefJkTZkyxZ2lAwAAJ5D1AAA4z+NNuiTFxcUpLi6u0Ps2btyY7/aRI0dKvyAAAOBSZD0AAM4xxlkLAAAAAAAATToAAAAAAEZBkw4AAAAAgEHQpAMAAAAAYBA06QAAAAAAGARNOgAAAAAABkGTDgAAAACAQdCkAwAAAABgEDTpAAAAAAAYBE06AAAAAAAGQZMOAAAAAIBB0KQDAAAAAGAQNOkAAAAAABgETToAAAAAAAZBkw4AAAAAgEHQpAMAAAAAYBA06QAAAAAAGARNOgAAAAAABkGTDgAAAACAQdCkAwAAAABgEDTpAAAAAAAYBE06AAAAAAAGQZMOAAAAAIBB0KQDAAAAAGAQNOkAAAAAABgETToAAAAAAAZBkw4AAAAAgEHQpAMAAAAAYBA06QAAAAAAGARNOgAAAAAABkGTDgAAAACAQdCkAwAAAABgEDTpAAAAAAAYBE06AAAAAAAGQZMOAAAAAIBB0KQDAAAAAGAQNOkAAAAAABgETToAAAAAAAZBkw4AAAAAgEHQpAMAAAAAYBA06QAAAAAAGARNOgAAAAAABkGTDgAAAACAQdCkAwAAAABgEDTpAAAAAAAYBE06AAAAAAAGQZMOAAAAAIBB0KQDAAAAAGAQNOkAAAAAABgETToAAAAAAAZBkw4AAAAAgEHQpAMAAAAAYBA06QAAAAAAGIQhmvSFCxcqMjJSgYGBat++vXbs2HHd+d955x01btxYgYGBatq0qT7++GM3VQoAAIqDrAcAwDkeb9JXr16thIQETZ48Wbt371bz5s3Vs2dPnT59utD5t27dqoEDB+rhhx/Wt99+q379+qlfv376/vvv3Vw5AABwBlkPAIDzPN6kz549W8OHD9ewYcMUExOjRYsWKSgoSIsXLy50/rlz56pXr1568sknFR0drenTp6tVq1ZasGCBmysHAADOIOsBAHCerycHz87O1q5duzR+/HjHNLPZrG7dumnbtm2FLrNt2zYlJCTkm9azZ0+tWbOm0PmzsrKUlZXluH3x4kVJ0rlz52S1WktUf3p6ugIDA3Xp2I+SNbNE6zKqzJM/KTAwUClp2dr4469uGdNm9lfGnzP01aFLMtuyS328749nKzAwUBnHM5S2L63Ux/OEX0/8qsDAQKWnp+vs2bOeLue6eF25nrtfUxKvqyKv69erzwO73e6K0gzFHVkveVfeu/I9xFXvD0Z8zbsz+4z2HJFc9zzhOeIaPEdurLw/R4qU9XYPOnbsmF2SfevWrfmmP/nkk/Z27doVuoyfn599xYoV+aYtXLjQXqNGjULnnzx5sl0SP/zwww8//Bj+5+jRo64JWANxR9bb7eQ9P/zwww8/ZePHmaz36Dfp7jB+/Ph8n8bbbDadO3dO1apVk8lk8mBluJb09HSFh4fr6NGjCgkJ8XQ5QJnHa8r47Ha7fv31V9WuXdvTpZRZ5H3x8P6AG+E5ghvhOeKcomS9R5v00NBQ+fj46NSpU/mmnzp1SrVq1Sp0mVq1ahVp/oCAAAUEBOSbVrly5eIXDbcJCQnhhQ64EK8pY6tUqZKnSygV7sh6ibwvKd4fcCM8R3AjPEduzNms9+iJ4/z9/dW6dWtt2LDBMc1ms2nDhg2KjY0tdJnY2Nh880vS+vXrrzk/AADwHLIeAICi8fju7gkJCRoyZIjatGmjdu3aKTExUZcvX9awYcMkSYMHD1adOnU0Y8YMSVJ8fLxuueUWvfTSS/rLX/6iVatWaefOnXr11Vc9+TAAAMA1kPUAADjP4036gAEDdObMGU2aNEknT55UixYt9Omnn6pmzZqSpNTUVJnNv33h37FjR61YsUITJkzQ008/raioKK1Zs0ZNmjTx1EOAiwUEBGjy5MkFdlsEUDy8puBpZL1x8f6AG+E5ghvhOeJ6Jru9HF7vBQAAAACAMsijx6QDAAAAAIDf0KQDAAAAAGAQNOkAAAAAABgETToAAAAAAAZBkw5DWbhwoSIjIxUYGKj27dtrx44dni4JKNM2b96sPn36qHbt2jKZTFqzZo2nSwJgEGQurof8wI3MmDFDbdu2VcWKFVWjRg3169dPKSkpni6rXKBJh2GsXr1aCQkJmjx5snbv3q3mzZurZ8+eOn36tKdLA8qsy5cvq3nz5lq4cKGnSwFgIGQuboT8wI1s2rRJI0eO1Ndff63169fLarWqR48eunz5sqdLK/O4BBsMo3379mrbtq0WLFggSbLZbAoPD9djjz2mcePGebg6oOwzmUz6z3/+o379+nm6FAAeRuaiKMgPOOPMmTOqUaOGNm3apC5duni6nDKNb9JhCNnZ2dq1a5e6devmmGY2m9WtWzdt27bNg5UBAFC+kLkASsPFixclSVWrVvVwJWUfTToMIS0tTbm5uapZs2a+6TVr1tTJkyc9VBUAAOUPmQvA1Ww2m0aNGqVOnTqpSZMmni6nzPP1dAEAAAAAgLJr5MiR+v7777VlyxZPl1Iu0KTDEEJDQ+Xj46NTp07lm37q1CnVqlXLQ1UBAFD+kLkAXCkuLk4ffvihNm/erLp163q6nHKB3d1hCP7+/mrdurU2bNjgmGaz2bRhwwbFxsZ6sDIAAMoXMheAK9jtdsXFxek///mPvvjiC9WrV8/TJZUbfJMOw0hISNCQIUPUpk0btWvXTomJibp8+bKGDRvm6dKAMuvSpUs6dOiQ4/bPP/+sPXv2qGrVqoqIiPBgZQA8iczFjZAfuJGRI0dqxYoV+u9//6uKFSs6zmlRqVIlWSwWD1dXtnEJNhjKggULNGvWLJ08eVItWrTQvHnz1L59e0+XBZRZGzdu1K233lpg+pAhQ7R06VL3FwTAMMhcXA/5gRsxmUyFTl+yZImGDh3q3mLKGZp0AAAAAAAMgmPSAQAAAAAwCJp0AAAAAAAMgiYdAAAAAACDoEkHAAAAAMAgaNIBAAAAADAImnQAAAAAAAyCJh0AAAAAAIOgSQcAAAAAwCBo0gGUmqFDh6pfv36eLgMAgHKja9euGjVqVLGXX7p0qSpXruyyeq4lMjJSiYmJpT4OUB7RpAMAAABeYsCAAfrxxx89XQaA66BJB2BYdrtdOTk5ni4DAIByw2KxqEaNGte8Pzs7243VXJtR6gA8gSYd8AK//vqr7r//flWoUEFhYWGaM2dOvt3lsrKyNGbMGNWpU0cVKlRQ+/bttXHjRsfyebvGrVu3TtHR0QoODlavXr104sQJxzy5ublKSEhQ5cqVVa1aNY0dO1Z2uz1fHTabTTNmzFC9evVksVjUvHlzvfvuu477N27cKJPJpE8++UStW7dWQECAtmzZUqrbBgCAssZms2ns2LGqWrWqatWqpSlTpjjumz17tpo2baoKFSooPDxcI0aM0KVLlxz3/3F39ylTpqhFixZ6/fXXVa9ePQUGBkqSLly4oL///e+qWbOmAgMD1aRJE3344YeO5d577z39+c9/VkBAgCIjI/XSSy9dt+bU1FT17dtXwcHBCgkJUf/+/XXq1Kkb1gF4I5p0wAskJCQoKSlJa9eu1fr16/XVV19p9+7djvvj4uK0bds2rVq1St99953uvfde9erVSwcPHnTMk5GRoRdffFFvvfWWNm/erNTUVI0ZM8Zx/0svvaSlS5dq8eLF2rJli86dO6f//Oc/+eqYMWOGli1bpkWLFumHH37QE088oQceeECbNm3KN9+4ceM0c+ZMJScnq1mzZqW0VQAAKJvefPNNVahQQdu3b9cLL7ygadOmaf369ZIks9msefPm6YcfftCbb76pL774QmPHjr3u+g4dOqT33ntP77//vvbs2SObzaY77rhDSUlJevvtt7V//37NnDlTPj4+kqRdu3apf//+uu+++7Rv3z5NmTJFEydO1NKlSwtdv81mU9++fXXu3Dlt2rRJ69ev108//aQBAwZctw7Aa9kBlGvp6el2Pz8/+zvvvOOYduHCBXtQUJA9Pj7e/ssvv9h9fHzsx44dy7fc7bffbh8/frzdbrfblyxZYpdkP3TokOP+hQsX2mvWrOm4HRYWZn/hhRcct61Wq71u3br2vn372u12u/3KlSv2oKAg+9atW/ON8/DDD9sHDhxot9vt9i+//NIuyb5mzRrXPHgAAMqZW265xX7zzTfnm9a2bVv7U089Vej877zzjr1atWqO20uWLLFXqlTJcXvy5Ml2Pz8/++nTpx3T1q1bZzebzfaUlJRC1zlo0CB79+7d80178skn7TExMY7bN910k33OnDl2u91u/+yzz+w+Pj721NRUx/0//PCDXZJ9x44d16wD8Fa+Hv6MAEAp++mnn2S1WtWuXTvHtEqVKqlRo0aSpH379ik3N1cNGzbMt1xWVpaqVavmuB0UFKQ//elPjtthYWE6ffq0JOnixYs6ceKE2rdv77jf19dXbdq0cezyfujQIWVkZKh79+75xsnOzlbLli3zTWvTpk1JHjIAAOXaH/cy+30mf/7555oxY4YOHDig9PR05eTk6MqVK8rIyFBQUFCh67vppptUvXp1x+09e/aobt26Bf42yJOcnKy+ffvmm9apUyclJiYqNzfX8Y377+cPDw9XeHi4Y1pMTIwqV66s5ORktW3bttA6AG9Fkw54uUuXLsnHx0e7du0qEKrBwcGO3/38/PLdZzKZChxzfqNxJOmjjz5SnTp18t0XEBCQ73aFChWcXi8AAN6msEy22Ww6cuSI7rzzTj366KN69tlnVbVqVW3ZskUPP/ywsrOzr9mk/zF3LRZLqdV+PeQ/cBXHpAPlXP369eXn56dvvvnGMe3ixYuOy6+0bNlSubm5On36tBo0aJDvp1atWk6NUalSJYWFhWn79u2OaTk5Odq1a5fjdkxMjAICApSamlpgnN9/sg4AAIpn165dstlseumll9ShQwc1bNhQx48fL/J6mjVrpv/973/XvFRbdHS0kpKS8k1LSkpSw4YNC3zgnzf/0aNHdfToUce0/fv368KFC4qJiSlyfUB5xzfpQDlXsWJFDRkyRE8++aSqVq2qGjVqaPLkyTKbzTKZTGrYsKHuv/9+DR48WC+99JJatmypM2fOaMOGDWrWrJn+8pe/ODVOfHy8Zs6cqaioKDVu3FizZ8/WhQsX8tUxZswYPfHEE7LZbLr55pt18eJFJSUlKSQkREOGDCmlLQAAgHdo0KCBrFar5s+frz59+igpKUmLFi0q8npuueUWdenSRffcc49mz56tBg0a6MCBAzKZTOrVq5dGjx6ttm3bavr06RowYIC2bdumBQsW6OWXXy50fd26dVPTpk11//33KzExUTk5ORoxYoRuueUWDnEDCsE36YAXmD17tmJjY3XnnXeqW7du6tSpk6Kjox2XN1myZIkGDx6s0aNHq1GjRurXr5+++eYbRUREOD3G6NGj9eCDD2rIkCGKjY1VxYoVddddd+WbZ/r06Zo4caJmzJih6Oho9erVSx999JHq1avn0scLAIA3at68uWbPnq3nn39eTZo00fLlyzVjxoxireu9995T27ZtNXDgQMXExGjs2LHKzc2VJLVq1Ur//ve/tWrVKjVp0kSTJk3StGnTNHTo0ELXZTKZ9N///ldVqlRRly5d1K1bN9WvX1+rV68u7kMFyjWTvSgHlQIoFy5fvqw6deropZde0sMPP+zpcgAAAAD8f+zuDniBb7/9VgcOHFC7du108eJFTZs2TZIKnJkVAAAAgGfRpANe4sUXX1RKSor8/f3VunVrffXVVwoNDfV0WQAAAAB+h93dAQAAAAAwCE4cBwAAAACAQdCkAwAAAABgEDTpAAAAAAAYBE06AAAAAAAGQZMOAAAAAIBB0KQDAAAAAGAQNOkAAAAAABgETToAAAAAAAZBkw4AAAAAgEHQpAMAAAAAYBA06QAAAAAAGARNOgAAAAAABkGTDgAAAACAQdCkAwAAAABgEL6eLsDdbDabjh8/rooVK8pkMnm6HAAAZLfb9euvv6p27doym/n83BXIewCAkRQl672uST9+/LjCw8M9XQYAAAUcPXpUdevW9XQZ5QJ5DwAwImey3uua9IoVK0q6unFCQkI8XI3zrFarPvvsM/Xo0UN+fn6eLsdj2A6/YVtcxXa4iu1wVVndDunp6QoPD3dkFEqurOa9tyirr1XAyHhdGVtRst7rmvS8Xd5CQkLKVGhbrVYFBQUpJCTEq190bIffsC2uYjtcxXa4qqxvB3bLdp2ymvfeoqy/VgEj4nVVNjiT9Rz4BgAAAACAQdCkAwAAAABgEDTpAAAAAAAYhNcdkw7Au+Xm5spqtXq6DJezWq3y9fXVlStXlJub6+lyPMao28HPz08+Pj6eLgMAvEJ5zfobMWoGehN/f3+XXEqVJh2AV7Db7Tp58qQuXLjg6VJKhd1uV61atXT06FGvPvmYkbdD5cqVVatWLcPVBQDlRXnP+hsxcgZ6C7PZrHr16snf379E66FJB+AV8kK7Ro0aCgoKKnfhZbPZdOnSJQUHB7vkE9yyyojbwW63KyMjQ6dPn5YkhYWFebgiACifynvW34gRM9Cb2Gw2HT9+XCdOnFBERESJnn806QDKvdzcXEdoV6tWzdPllAqbzabs7GwFBgZ6dTAbdTtYLBZJ0unTp1WjRg12fQcAF/OGrL8Ro2agN6levbqOHz+unJycEl0Gj/89AOVe3nFpQUFBHq4E3izv+eeNx0kCQGkj62EEebu5l/ScADTpALyGt+32BmPh+QcApY/3WniSq55/NOkAAAAAABgEx6QDAK6ra9euatGihRITEw2xHsATUlNTlZaW5ukySlVoaKgiIiI8XQYADyHvjYMmHQDgUhs3btStt96q8+fPq3Llyo7p77//folOogJ4Smpqqho3jlZmZoanSylVFkuQDhxIplEH4BTyvvTQpAMA3KJq1aqeLgEolrS0NGVmZqj9Q5MVEhbp6XJKRfqJI9q+eKrS0tJo0gGUCHlfchyTDgAG1bVrV8XFxSkuLk6VKlVSaGioJk6cKLvdLkk6f/68Bg8erCpVqig4OFh//etfdfDgQcfyS5cuVeXKlbVmzRpFRUUpMDBQPXv21NGjRx3zDB06VP369cs37qhRo9S1a9dr1vXWW2+pTZs2qlixomrVqqVBgwY5rgF+5MgR3XrrrZKkKlWqyGQyaejQoY7HM2rUKMd6fl9/UFCQ7rjjjkLrX7dunaKjoxUcHKxevXrpxIkTxdmcQImFhEWqakSjcvlTXj98AMqCouT99fJyzZo1at26tYKCgsj7Mo4mHQAM7M0335Svr6927NihuXPnavbs2Xr99dclXQ3cnTt3au3atUpKSpIk3Xnnnfku8ZWRkaFnn31Wy5YtU1JSki5cuKD77ruvRDVZrVZNnz5de/fu1Zo1a3TkyBFHMIeHh+u9996TJKWkpOjEiROaO3duoev5ff3btm2T3W5X7969C9T/4osv6q233tLmzZuVmpqqMWPGlKh+AACMxtm8v15ezpgxQ6+88oq++uor8r6MY3d3ADCw8PBwzZkzRyaTSY0aNdK+ffs0Z84cde3a1dGcd+zYUTabTa+++qqaNGmiNWvW6N5775V0NWAXLFig9u3bS7r6R0B0dLR27Nihdu3aFaumhx56yPF7/fr1NW/ePLVt21aXLl1ScHCwYze3GjVq5DtG7fcOHjyYr35JWr58ucLDwwvUv2jRIv3pT3+SJMXFxWnatGnFqhsAAKNyNu+la+flvHnzFB0drZCQEPK+jOObdAAwsA4dOuS75mZsbKwOHjyo/fv3y9fX19F8S1ePAWvUqJGSk5Md03x9fdW2bVvH7caNG6ty5cr55imqXbt2qU+fPoqIiFDFihV1yy23SLp6ci1nJScnF6i/WrVqBeoPCgpyBLYkhYWFOXa1AwCgvChK3heWl+R9+UKTDgBezGw2O455y/P73c/+6PLly+rZs6dCQkK0fPlyffPNN/rPf/4jScrOznZ5fX88O6zJZCpQLwAAuD7yvmyhSQcAA9u+fXu+219//bWioqIUExOjnJycfPefO3dOKSkpiomJcUzLycnRzp07HbdTUlJ04cIFRUdHS5KqV69e4MQse/bsuWY9Bw4c0NmzZzVz5kx17txZjRs3LvBJt7+/vyQpNzf3muuJjo4uUP/Zs2cL1A8AgDcoSt4XlpfkfflCkw4ABpaamqqEhASlpKRo5cqVmj9/vuLj4xUVFaW+fftq+PDh2rJli/bu3atHHnlEderUUd++fR3L+/n56bHHHtP27du1a9cuDR06VB06dHAcn3bbbbdp586dWrZsmQ4ePKjJkyfr+++/v2Y9ERER8vf31/z58/XTTz9p7dq1mj59er55brrpJplMJn344Yc6c+aMLl26VGA9hdX/wAMPFKgfAABvUJS8Lywv/fz8FB8fr507d5L35QBNOgAY2ODBg5WZmal27dpp5MiRio+P1yOPPCJJWrJkiVq3bq0777xTnTp1kiR9+OGH+XYZCwoK0lNPPaVBgwapU6dOCg4O1urVqx339+zZUxMnTtTYsWPVtm1b/frrrxo8ePA166levbqWLl2qd955RzExMZo5c6ZefPHFfPPUqVNHU6dO1bhx41SzZk3FxcUVuq7f1x8bGyu73a6PP/64wC5vAACUd87m/bXyMigoSE8++aSGDx+uzp07k/dlnMnuZTv7p6enq1KlSrp48aJCQkI8XY7TrFarPv74Y/Xu3durn9Bsh9+wLa5yZjtcuXJFP//8s+rVq6fAwEA3V1h8Xbt2VYsWLZSYmHjDeW02m9LT0xUSEiKz+ernr0uXLtWoUaN04cKF0i3UQArbDkZxvedhWc0mI3PlNt29e7dat26t7v9coqoRjVxUobGcS03R+meHadeuXWrVqlWpj0eGwdXKatZLRcv7wuTl/blz5wybgd7CVVnP/x4AAAAAAAZBkw4AAAAAgEH4eroAAEDhNm7cWKLlhw4dqqFDh7qkFgAAUDpclfc2m801BcHj+CYdAAAAAACDoEkHAAAAAMAgaNIBAAAAADAImnQAAAAAAAyCJh0AAAAAAIOgSQcAAAAAwCC4BBsAr5aamqq0tDS3jRcaGqqIiAi3jeesyMhIjRo1SqNGjbrmPNnZ2YqJidGyZcvUsWNH9xVnACaTSf/5z3/Ur1+/Qu/fv3+/evTooZSUFFWoUMG9xQEArousv4qsvz4jZT1NOgCvlZqaqsaNo5WZmeG2MS2WIB04kGzI8L6RRYsWqV69emU6tI8cOaJ69erp22+/VYsWLVy23piYGHXo0EGzZ8/WxIkTXbZeAEDJkPVFQ9ZfmzuzniYdgNdKS0tTZmaG2j80WSFhkaU+XvqJI9q+eKrS0tLKXHDb7XYtWLBA06ZNK/F6cnNz5etb/uJn2LBhGj58uMaPH18uHx8AlEVkvfPI+htzV9ZzTDoArxcSFqmqEY1K/ac4fxx07dpVcXFxiouLU6VKlRQaGqqJEyfKbrc75jl//ryGDBmiyMhIBQcH64477tDBgwfzree9997Tn//8ZwUEBCgyMlIvvfRSkerYtWuXDh8+rL/85S+OaUeOHJHJZNKqVavUsWNHBQYGqkmTJtq0aZNjno0bN8pkMumTTz5R69atFRAQoC1btshms2nGjBmqV6+eLBaLmjdvrnfffbfAcuvWrVPLli1lsVh022236fTp0/rkk08UHR2tkJAQDRo0SBkZv3078umnn6pXr16qWrWqqlWrpjvvvFOHDx923F+vXj1JUsuWLWUymdS1a1fHfYsXL3Zso7CwMMXFxeXbBmlpabrrrrsUFBSkqKgorV27Nt/93bt317lz5/I9fgCAMZSHrB88eLCqVKmioKCga2Z9bGysLBZLuc/6m2++WZUrVy63WU+TDgAG9+abb8rX11c7duzQ3LlzNXv2bL3++uuO+4cOHapdu3ZpxYoVSkpKkt1uV+/evWW1WiVdDd3+/fvrvvvu0759+zRlyhRNnDhRS5cudbqGr776Sg0bNlTFihUL3Pfkk09q9OjR+vbbbxUbG6s+ffro7Nmz+eYZN26cZs6cqeTkZDVr1kwzZszQsmXLtGjRIv3www964okn9MADDxQIvSlTpmjBggXaunWrjh49qv79+ysxMVErVqzQRx99pM8++0zz5893zH/58mWNHDlSO3bs0IYNG2Q2m3XXXXfJZrNJknbs2CFJ+vzzz3XixAm9//77kqRXXnlFI0eO1COPPKJ9+/Zp7dq1atCgQb5apk6dqv79++u7775T7969df/99+vcuXOO+/39/dWiRQt99dVXTm9XAAAk57J+586dWrt2rbZt21Zo1t933326++67tXfv3nKf9QkJCdq5c2e5zfrytw8CAJQz4eHhmjNnjkwmkxo1aqR9+/Zpzpw5Gj58uA4ePKi1a9fqq6++UpMmTRQSEqLly5crPDxca9as0b333qvZs2fr9ttvdxw/1bBhQ+3fv1+zZs3S0KFDnarhl19+Ue3atQu9Ly4uTvfcc4+kqwH46aef6o033tDYsWMd80ybNk3du3eXJGVlZem5557T559/rtjYWElS/fr1tWXLFv3rX//SLbfc4ljumWeeUadOnSRJDz/8sMaPH6/Dhw+rfv36kqS//vWv+vLLL/XUU09Jku655x6lp6crJCREZrNZixcvVvXq1bV//341adJE1atXlyRVq1ZNtWrVyjfO6NGjFR8f75jWtm3bfI9z6NChGjhwoCTpueee07x587Rjxw716tXLMU/t2rX1yy+/OLVNAQDI40zWJyUlOY4VLyzrb7vtNj355JMKCQlR48aNy3XW/155zHq+SQcAg+vQoYNMJpPjdmxsrA4ePKjc3FwlJyfL19dX7du3d9xfrVo1NWrUSMnJyZKk5ORkR/jl6dSpk2MdzsjMzFRgYGCh9+WFryT5+vqqTZs2jrHztGnTxvH7oUOHlJGRoe7duys4ONjxs2zZsny7q0lSs2bNHL/XrFlTQUFBjtDOm3b69GnH7YMHD+rhhx9WgwYNFBISosjISElXTxx0LadPn9bx48d1++23X2cL5K+lQoUKCgkJyTe2JFkslny75AEA4Ayy/ipns37gwIGqX79+uc16jzfpCxcuVGRkpAIDA9W+fXvH7gnXkpiYqEaNGslisSg8PFxPPPGErly54qZqAcA7hYaG6vz588Ve/veXKrl06ZIk6aOPPtKePXscP/v37893rJok+fn5OX43mUz5budNy9u9TZL69u2rCxcu6F//+pe2b9+u7du3S7p6SZlrsVgsTj2GG40tSefOnXN8go/8yHsAMLaykvV9+vTRuXPn9Nprr5XbrPdok7569WolJCRo8uTJ2r17t5o3b66ePXsW+LQiz4oVKzRu3DhNnjxZycnJeuONN7R69Wo9/fTTbq4cANwnL3zyfP3114qKipKPj4+io6OVk5OTb56zZ88qJSVFMTExkqTo6GglJSXlW0dSUpIaNmwoHx8fp2po2bKlDhw4kO8kNr+vJ09OTo527dql6Ojoa64rJiZGAQEBSk1NVYMGDfL9hIeHO1VPYfIe9+jRo3X77bcrOjq6wB8b/v7+kpTvW4WKFSsqMjJSGzZsKPbYeb7//nu1bNmyxOspb8h7ALg+st45eY97woQJ5TrrPXpM+uzZszV8+HANGzZM0tXr8n300UdavHixxo0bV2D+rVu3qlOnTho0aJAkKTIyUgMHDizwpAaA8iQ1NVUJCQn6+9//rt27d2v+/PmOM7ZGRUWpb9+++vvf/64XX3xRtWrV0tNPP606deqob9++kqTRo0erbdu2mj59ugYMGKBt27ZpwYIFevnll52u4dZbb9WlS5f0ww8/qEmTJvnuW7hwoaKiohQdHa05c+bo/Pnzeuihh665rooVK2rMmDF64oknZLPZdPPNN+vixYtKSkpSSEiIhgwZUoytJFWpUkXVqlXTm2++qQYNGuh///tfgSypUaOGLBaLPv30U9WtW1eBgYGqVKmSpkyZon/84x+qUaOG7rjjDv36669KSkrSY4895vT4R44c0bFjx9StW7di1V+ekfcAcH3OZP3w4cP1r3/9SxUrVtS4ceMKzfpZs2bpwQcf1Pbt28t11r/66qsKCwtTampqucx6jzXp2dnZ2rVrl8aPH++YZjab1a1bN23btq3QZTp27Ki3335bO3bsULt27fTTTz/p448/1oMPPnjNcbKyspSVleW4nZ6eLkmyWq2OsyGWBXm1lqWaSwPb4Tdsi6uc2Q5Wq1V2u102my3fLkt5v6cfPyIV/NDY5dJPHHGM+8ddp67nwQcfVEZGhtq1aycfHx89/vjj+tvf/uZYxxtvvKFRo0bpvvvuk9VqVefOnfXhhx/Kx8dHNptNLVq00KpVqzRlyhRNnz5dYWFhmjp1qgYPHpyvjrxtVJgqVaqoX79+evvtt/Xcc885Hod09cQqM2fO1J49e9SgQQOtWbNGVatWzfc4//iYp06dqtDQUM2YMUM//fSTKleurJYtW2r8+PHXXO6P/+bV/Ptpy5cvV3x8vJo1a6ZGjRopMTFRt912m2M9ZrNZiYmJeuaZZzRp0iR17txZX3zxhWMbz507V2PGjFFoaKjuueeeAs+XP26f309bsWKFunfvrvDw8EK3o81mk91ul9VqLfCtRnl+HZeHvLfZbLJYLPIzS74m51+7ZYmf+eruoDabzS3PRzIMruYtWX/nnXcqOzv7mlk/adIkzZo1q1xn/YoVKzRq1Cg1adKk3Ga9yV7Y/gxucPz4cdWpU0dbt27NdyKCsWPHatOmTdf8tHzevHkaM2aM7Ha7cnJy9I9//EOvvPLKNceZMmWKpk6dWmD6ihUrFBQUVPIHAsDwfH19VatWLYWHhzt2gZKko0ePql379rqSmem2WgItFu3Yvt3pXb3uvPNONW3aVDNmzCjlym7s+++/1913363du3crODhYqampat68uTZv3qymTZt6ujyPys7OVuvWrfXaa6+pQ4cO15zn6NGjOnnypHJycvLdl5GRoUGDBunixYsKCQlxR8luQ94DcAey3jXI+mtzZ9aXqUuwbdy4Uc8995xefvlltW/fXocOHVJ8fLymT5/uuLTQH40fP14JCQmO2+np6QoPD1ePHj3K1B9CVqtV69evV/fu3Quc0MCbsB1+w7a4ypntcOXKFR09elTBwcH5zlr65z//Wcn79ystLc1d5So0NFQRERFOz+/r6yt/f/8bvl/Z7Xb9+uuvqlixYr6zw7pSx44dNXPmTJ09e1a1a9dWcHCwpN/OfmoE7tgOhTl06JCefvpp9ejR45rzXLlyRRaLRV26dClw9ty8b31xldHyfu/everSpYtuHfOyqoRHlWhdRnX+6EF9+eIIbd68Wc2bNy/18cgwuJo3ZP2NuCIDy0LWe4o7s95jTXpoaKh8fHx06tSpfNNPnTqV73p2vzdx4kQ9+OCD+tvf/iZJatq0qS5fvqxHHnlE//znP2U2FzwPXkBAgAICAgpM9/PzK5OhUFbrdjW2w2/YFlddbzvk5ubKZDLJbDYXeJ+IjIx0XLrDqPJqv568Xa6cmbckfn/8Wd44hW1XT3HXdvijhg0bqmHDhtedx2w2O85a+8fnanl+DZeHvDebzcrMzJTVJuXYjfFcdzWr7erll8xms1ufj2QYXMUbsv5GXJWBRs96T3Fn1nusSff391fr1q21YcMG9evXT9LVJ9aGDRsUFxdX6DIZGRkFnhx5+/p7aK99AChVGzdu9HQJ1xQZGcl7L26IvAeA6yPr8Uce3d09ISFBQ4YMUZs2bdSuXTslJibq8uXLjrO/Dh48WHXq1HEcn9GnTx/Nnj1bLVu2dOz+NnHiRPXp08fpSwsAAAD3Iu8BAHCeR5v0AQMG6MyZM5o0aZJOnjypFi1a6NNPP1XNmjUlXb0Uwe8/SZ8wYYJMJpMmTJigY8eOqXr16urTp4+effZZTz0EAABwA+Q9AADO8/iJ4+Li4q65u9sfd/3w9fXV5MmTNXnyZDdUBgAAXIW8BwDAOd599D8AAAAAAAZCkw4AAAAAgEHQpAMAAAAAYBAePyYdADwpNTVVaWlpbhsvNDRUERERbhvPGZGRkRo1apRGjRrl6VIAAHA5sp6sL2to0gF4rdTUVEU3bqSMzCtuGzPIEqjkAymGC28AAMojsh5lEU06AK+VlpamjMwrevuRFooOCy718ZJPXNIDr+5RWloawQ0AgBuQ9SiLaNIBeL3osGC1iqzk6TIK1bVrVzVp0kSS9NZbb8nPz0+PPvqopk2bJpPJpPPnzys+Pl4ffPCBsrKy1KVLF82fP19RUVGOdbz33nuaNGmSDh06pLCwMD322GMaPXq0px4SAABuV56y/pZbbtG8efPI+nKME8cBgMG9+eab8vX11Y4dOzR37lzNnj1br7/+uiRp6NCh2rlzp9asWaN169bJbrerd+/eslqtkqRdu3apf//+uu+++7Rv3z5NmTJFEydO1NKlSz34iAAAwO85k/Vr167Vtm3brpn1AwYMUFJSkiZNmkTWl3F8kw4ABhceHq45c+bIZDKpUaNG2rdvn+bMmaOuXbtq7dq1SkpKUocOHZSenq63335bN910k9asWaN7771Xs2fP1u23366JEydKkho2bKj9+/dr1qxZGjp0qGcfGAAAkORc1nfs2FGStHz5coWHhxfI+gkTJig9PV2tWrXSgQMHyPoyjG/SAcDgOnToIJPJ5LgdGxurgwcPav/+/fL19VX79u0d91WrVk2NGjVScnKyJCk5OVmdOnXKt75OnTrp4MGDys3Ndc8DAAAA10XW4/do0gEAAAAAMAiadAAwuO3bt+e7/fXXXysqKkoxMTHKycnJd//Zs2eVkpKimJgYSVJ0dLSSkpLyLZ+UlKSGDRvKx8en9IsHAAA3RNbj92jSAcDgUlNTlZCQoJSUFK1cuVLz589XfHy8oqKi1LdvXw0fPlxbtmzRvn379OCDD6pOnTrq27evJGn06NHasGGDpk+frh9//FFvvvmmFixYoDFjxnj4UQEAgDzOZv3evXv1wAMPFJr1zzzzjA4dOkTWlwOcOA6A10s+ccnQ4wwePFiZmZlq166dfHx8FB8fr0ceeUSStGTJEsXHx+v//u//lJ2drc6dO+vjjz+Wn5+fJKlVq1b697//rUmTJmn69OkKCwvTtGnTOJEMAMCrlIesv/POO5Wdna0uXbpcM+ufeeYZsr4coEkH4LVCQ0MVZAnUA6/ucduYQZZAhYaGFmkZPz8/JSYm6pVXXilwX5UqVbRs2TLZbDalp6crJCREZnP+naTuuece3XPPPddc/5EjR4pUDwAAZUV5yvrrueeee3TXXXdd828Bsr5soUkH4LUiIiKUfCBFaWlpbhszNDRUERERbhsPAABvRtajLKJJB+DVIiIiCFIAAMoxsh5lDU06ABjYxo0bPV0CAAAoRWQ9/oizuwMAAAAAYBA06QAAAAAAGARNOgAAAAAABkGTDgAAAACAQdCkAwAAAABgEDTpAAAAAAAYBJdgA+DVUlNTlZaW5rbxQkNDuVYrAABuRNajrKFJB+C1UlNT1Ti6sTIzMt02piXIogPJB5wO765du6pFixZKTEws3cKcZLR6ALhWcnKyW8ax2WySpL1798psdt+OnVlZWQoICHDbeJ5Ag5gfWV90RqvHG9GkA/BaaWlpyszIVJexXVQpvFKpj3fx6EVtfmGz0tLS3PoHVHZ2tvz9/d02HoCyx5qVLUl64IEH3DKexWLRypUr1aVLF2Vmuq95Mpskm91tw3lEURvE8s6bst7Xl9auvOB/EoDXqxReSaFRoZ4uo4ChQ4dq06ZN2rRpk+bOnStJOnTokJ577jl98cUXOnnypCIiIjRixAg99thj+Za7cOGC2rZtq4ULFyogIEA///yztm7dqhEjRujAgQNq0qSJJkyYoLvuukvffvutWrRoIUn6/vvv9eSTT+qrr75ShQoV1KNHD82ZM0ehoaGF1vPzzz8rMjLS3ZsGgIvl5ORIkqbf3VC9m9Yo9fFsZn8dk7R5XKzMtuxSH0+Sdv90RsPfSlHLwS1Vt21dt4zpbp5qEMuC8pD18fHx+Zb7Y9YfPnxY27dv11NPPUXWl3E06QBgUHPnztWPP/6oJk2aaNq0aZKkKlWqqG7dunrnnXdUrVo1bd26VY888ohq1qypXr16OZbdsGGDQkJCtH79eklSenq6+vTpo969e2vFihX65ZdfNGrUqHzjXbhwQbfddpv+9re/ac6cOcrMzNRTTz2l/v3764svvii0nurVq7tnYwBwi3qhQWoVWfrfNlrlp2OSmkeEyE/WUh9Pki5nXJYkBdcKNmSzBu9UlKwPCwtT//79HcsWlvUDBw4k68sBmnQAMKhKlSrJ399fQUFBqlWrlmP61KlTHb/Xq1dP27Zt0zvvvJOvSa9QoYJef/11x27uixYtkslk0muvvabAwEDFxMTo2LFjGj58uGOZBQsWqGXLlnruuecc0xYvXqzw8HD9+OOPatiwYaH1AACA4ilK1v/73//O16T/MetffvllmUwmvfrqqwoKCiLryzCadAAoYxYuXKjFixcrNTVVmZmZys7OduzClqdp06b5jkNPSUlRs2bNFBgY6JjWrl27fMvs3btXX375pYKDgwuMefjwYTVs2NC1DwQAABSqOFn/448/6s9//jNZXw7QpANAGbJq1SqNGTNGL730kmJjY1WxYkXNmjVL27dvzzdfhQoVirzuS5cuqU+fPnr++ecL3BcWFlbsmgEAgPPIetCkA4CB+fv7Kzc313E7KSlJHTt21IgRIxzTDh8+fMP1NGrUSG+//Xa+yw998803+eZp1aqV3nvvPUVGRl7zDLF/rAcAAJSMq7K+YcOGjqy3WCySyPqyiiYdgNe7ePSiYceJjIzU9u3bdeTIEQUHBysqKkrLli3TunXrVK9ePb311lv65ptvVK9eveuuZ9CgQfrnP/+pRx55ROPGjVNqaqpefPFFSZLJZJIkjRw5Uq+99poGDhyosWPHqmrVqjp06JBWrVql119/XT4+PgXqqVq1qluvcQwAQHF4S9ZPmDBBf//73zV+/HiyvgyjSQfgtUJDQ2UJsmjzC5vdNqYlyKLQUOfPKjxmzBgNGTJEMTExyszM1IEDB/Ttt99qwIABMplMGjhwoEaMGKFPPvnkuusJCQnRBx98oEcffVQtWrRQ06ZNNWnSJA0aNMhx7Frt2rWVlJSkp556Sj169FBWVpZuuukm9erVyxHOf6yHy7IAAIzM27J+5cqVGjt2LFlfxtGkA/BaEREROpB8QGlpaW4bMzQ0tEjXrm3YsKG2bduWb9qSJUu0ZMmSfNOeffZZpaenS5KWLl1a6Lo6duyovXv3Om4vX75cfn5++eqJiorS+++/X6R6AAAwqvKU9TNmzHD8fq2sb9++vb799ltHw03Wl0006QC8WkRERJGCtCxbtmyZ6tevrzp16mjv3r2O66LmHbcGAEB55E1Zv2rVKsXExCg8PJysL8No0gHAS5w8eVKTJk3SyZMnFRYWpnvvvVfPPvusp8sCAAAucurUKc2cOZOsL+No0gHAS4wdO1Zjx471dBkAAKCUxMfHa+LEiZzorYzjfw8AAAAAAIOgSQfgNex2u6dLgBfj+QcApY/3WniSq55/NOkAyj0/Pz9JUkZGhocrgTfLe/7lPR8BAK5D1sMIsrOzJUk+Pj4lWg/HpAMo93x8fFS5cmWdPn1akhQUFCSTyeThqlzLZrMpOztbV65c8erj0Iy4Hex2uzIyMnT69GlVrly5xMENACjIG7L+RoyYgd7EZrPpzJkzCgoKkq9vydpsmnQAXqFWrVqS5Ajv8sZutyszM1MWi8Xr/ij5PSNvh8qVKzuehwAA1yvvWX8jRs5Ab2E2mxUREVHi7U+TDsArmEwmhYWFqUaNGrJarZ4ux+WsVqs2b96sLl26ePXu1EbdDn5+fnyDDgClrLxn/Y0YNQO9ib+/v0v2YqBJB+BVfHx8ymWz5OPjo5ycHAUGBnp1MLMdAADlNetvhAwsPzhYAQAAAAAAg6BJBwAAAADAIGjSAQAAAAAwCJp0AAAAAAAMgiYdAAAAAACDoEkHAAAAAMAgaNIBAAAAADAIjzfpCxcuVGRkpAIDA9W+fXvt2LHjuvNfuHBBI0eOVFhYmAICAtSwYUN9/PHHbqoWAAAUB3kPAIBzfD05+OrVq5WQkKBFixapffv2SkxMVM+ePZWSkqIaNWoUmD87O1vdu3dXjRo19O6776pOnTr65ZdfVLlyZfcXDwAAnELeAwDgPI826bNnz9bw4cM1bNgwSdKiRYv00UcfafHixRo3blyB+RcvXqxz585p69at8vPzkyRFRka6s2QAAFBE5D0AAM7zWJOenZ2tXbt2afz48Y5pZrNZ3bp107Zt2wpdZu3atYqNjdXIkSP13//+V9WrV9egQYP01FNPycfHp9BlsrKylJWV5bidnp4uSbJarbJarS58RKUrr9ayVHNpYDv8hm1xFdvhKrbDVWV1O5S1eouiPOS9zWaTxWKRn1nyNdlKtC6j8vcxyWKxSL4Bssqv1MfLG8MdY+Wx+/jLYrHI38dfvnaPfk9VavxMfrJYLLLZbOX6fQWFK6sZ6C2K8v/isXeotLQ05ebmqmbNmvmm16xZUwcOHCh0mZ9++klffPGF7r//fn388cc6dOiQRowYIavVqsmTJxe6zIwZMzR16tQC0z/77DMFBQWV/IG42fr16z1dgiGwHX7DtriK7XAV2+GqsrYdMjIyPF1CqSkveb9y5cr//1taiddlSDVq6/HOVx+jO4/8X1/lfvcN1kFa2eH//5513TnLrrrS4JWDdezYMR07dszT1cBDyloGeouiZH2Z+hjRZrOpRo0aevXVV+Xj46PWrVvr2LFjmjVr1jVDe/z48UpISHDcTk9PV3h4uHr06KGQkBB3lV5iVqtV69evV/fu3R27/nkjtsNv2BZXsR2uYjtcVVa3Q963vrjKaHm/d+9edenSRbeOeVlVwqNKtC6jOpHynba9PFqvDWum/m3DSn08q/y0vsr96n5+ufzknm/9tqWcUK+536njqI6q36W+W8Z0t7OHz+qTJz/R5s2b1bx5c0+XAzcrqxnoLYqS9R5r0kNDQ+Xj46NTp07lm37q1CnVqlWr0GXCwsLk5+eXb1e36OhonTx5UtnZ2fL39y+wTEBAgAICAgpM9/PzK5NP3rJat6uxHX7DtriK7XAV2+GqsrYdylKtRVUe8t5sNiszM1NWm5Rj9/iFcUpFdq5dmZmZUk6W25pmSfKT1W3jmXKzlZmZqezcbOWYctwyprtZ7VZlZmbKbDaX6/cVXF9Zy0BvUZT/E48ljb+/v1q3bq0NGzY4ptlsNm3YsEGxsbGFLtOpUycdOnRINttvx4P9+OOPCgsLKzSwAQCAZ5H3AAAUjUc/Dk5ISNBrr72mN998U8nJyXr00Ud1+fJlx9lfBw8enO9EM48++qjOnTun+Ph4/fjjj/roo4/03HPPaeTIkZ56CAAA4AbIewAAnOfRY9IHDBigM2fOaNKkSTp58qRatGihTz/91HFymdTUVJnNv32OEB4ernXr1umJJ55Qs2bNVKdOHcXHx+upp57y1EMAAAA3QN4DAOA8j584Li4uTnFxcYXet3HjxgLTYmNj9fXXX5dyVQAAwJXIewAAnFM+z34CAAAAAEAZVKwm/csvv3R1HQAAwGDIewAA3K9YTXqvXr30pz/9Sc8884yOHj3q6poAAIABkPcAALhfsZr0Y8eOKS4uTu+++67q16+vnj176t///reys7NdXR8AAPAQ8h4AAPcrVpMeGhqqJ554Qnv27NH27dvVsGFDjRgxQrVr19bjjz+uvXv3urpOAADgZuQ9AADuV+ITx7Vq1Urjx49XXFycLl26pMWLF6t169bq3LmzfvjhB1fUCAAAPIy8BwDAPYrdpFutVr377rvq3bu3brrpJq1bt04LFizQqVOndOjQId1000269957XVkrAABwM/IeAAD3KtZ10h977DGtXLlSdrtdDz74oF544QU1adLEcX+FChX04osvqnbt2i4rFAAAuBd5DwCA+xWrSd+/f7/mz5+vu+++WwEBAYXOExoayqVbAAAow8h7AADcr1i7u0+ePFn33ntvgcDOycnR5s2bJUm+vr665ZZbSl4hAADwCPIeAAD3K1aTfuutt+rcuXMFpl+8eFG33npriYsCAACeR94DAOB+xWrS7Xa7TCZTgelnz55VhQoVSlwUAADwPPIeAAD3K9Ix6XfffbckyWQyaejQofl2f8vNzdV3332njh07urZCAADgVuQ9AACeU6QmvVKlSpKufrJesWJFWSwWx33+/v7q0KGDhg8f7toKAQCAW5H3AAB4TpGa9CVLlkiSIiMjNWbMGHZ1AwCgHCLvAQDwnGJdgm3y5MmurgMAABgMeQ8AgPs53aS3atVKGzZsUJUqVdSyZctCTySTZ/fu3S4pDgAAuBd5DwCAZzndpPft29dx4ph+/fqVVj0AAMCDyHsAADzL6Sb997u8sfsbAADlE3kPAIBnFes66QAAAAAAwPWc/ia9SpUq1z0u7ffOnTtX7IIAAIDnkPcAAHiW0016YmJiKZYBAACMgLwHAMCznG7ShwwZUpp1AAAAAyDvAQDwLKeb9PT0dIWEhDh+v568+QAAQNlC3gMA4FlFOib9xIkTqlGjhipXrlzo8Wp2u10mk0m5ubkuLRIAALgHeQ8AgGc53aR/8cUXqlq1qiTpyy+/LLWCAACA55D3AAB4ltNN+i233FLo7wAAoPwg7wEA8Cynm/Q/On/+vN544w0lJydLkmJiYjRs2DDHp+8AAKDsI+8BAHAvc3EW2rx5syIjIzVv3jydP39e58+f17x581SvXj1t3rzZ1TUCAAAPIO8BAHC/Yn2TPnLkSA0YMECvvPKKfHx8JEm5ubkaMWKERo4cqX379rm0SAAA4H7kPQAA7lesb9IPHTqk0aNHOwJbknx8fJSQkKBDhw65rDgAAOA55D0AAO5XrCa9VatWjmPTfi85OVnNmzcvcVEAAMDzyHsAANzP6d3dv/vuO8fvjz/+uOLj43Xo0CF16NBBkvT1119r4cKFmjlzpuurBAAAbkHeAwDgWU436S1atJDJZJLdbndMGzt2bIH5Bg0apAEDBrimOgAA4FbkPQAAnuV0k/7zzz+XZh0AAMAAyHsAADzL6Sb9pptuKs06AACAAZD3AAB4VrEuwZZn//79Sk1NVXZ2dr7p//d//1eiogAAgHGQ9wAAuE+xmvSffvpJd911l/bt25fvuDWTySTp6jVUAQBA2UbeAwDgfsW6BFt8fLzq1aun06dPKygoSD/88IM2b96sNm3aaOPGjS4uEQAAeAJ5DwCA+xXrm/Rt27bpiy++UGhoqMxms8xms26++WbNmDFDjz/+uL799ltX1wkAANyMvAcAwP2K9U16bm6uKlasKEkKDQ3V8ePHJV092UxKSorrqgMAAB5D3gMA4H7F+ia9SZMm2rt3r+rVq6f27dvrhRdekL+/v1599VXVr1/f1TUCAAAPIO8BAHC/YjXpEyZM0OXLlyVJ06ZN05133qnOnTurWrVqWr16tUsLBAAAnkHeAwDgfsVq0nv27On4vUGDBjpw4IDOnTunKlWqOM74CgAAyjbyHgAA9yvRddIl6ejRo5Kk8PDwEhcDAACMibwHAMA9inXiuJycHE2cOFGVKlVSZGSkIiMjValSJU2YMEFWq9XVNQIAAA8g7wEAcL9ifZP+2GOP6f3339cLL7yg2NhYSVcv0zJlyhSdPXtWr7zyikuLBAAA7kfeAwDgfsVq0lesWKFVq1bpjjvucExr1qyZwsPDNXDgQEIbAIBygLwHAMD9irW7e0BAgCIjIwtMr1evnvz9/UtaEwAAMADyHgAA9ytWkx4XF6fp06crKyvLMS0rK0vPPvus4uLiXFYcAADwHPIeAAD3c3p397vvvjvf7c8//1x169ZV8+bNJUl79+5Vdna2br/9dtdWCAAA3Ia8BwDAs5xu0itVqpTv9j333JPvNpdkAQCg7CPvAQDwLKeb9CVLlpRmHQAAwADIewAAPKtYx6TnOXPmjLZs2aItW7bozJkzxV7PwoULFRkZqcDAQLVv3147duxwarlVq1bJZDKpX79+xR4bAABcnyvynqwHAMA5xWrSL1++rIceekhhYWHq0qWLunTpotq1a+vhhx9WRkZGkda1evVqJSQkaPLkydq9e7eaN2+unj176vTp09dd7siRIxozZow6d+5cnIcAAABuwFV5T9YDAOC8YjXpCQkJ2rRpkz744ANduHBBFy5c0H//+19t2rRJo0ePLtK6Zs+ereHDh2vYsGGKiYnRokWLFBQUpMWLF19zmdzcXN1///2aOnWq6tevX5yHAAAAbsBVeU/WAwDgPKePSf+99957T++++666du3qmNa7d29ZLBb1799fr7zyilPryc7O1q5duzR+/HjHNLPZrG7dumnbtm3XXG7atGmqUaOGHn74YX311VfXHSMrKyvfpWPS09MlSVarVVar1ak6jSCv1rJUc2lgO/yGbXEV2+EqtsNVZXU7GLVeV+S9O7JeKt28t9lsslgs8jNLviZbidZlVP4+JlksFsk3QFb5lfp4eWO4Y6w8dh9/WSwW+fv4y9derD+BDc/P5CeLxSKbzWbY9xWUnrKagd6iKP8vxXqHysjIUM2aNQtMr1GjRpF2f0tLS1Nubm6BddWsWVMHDhwodJktW7bojTfe0J49e5waY8aMGZo6dWqB6Z999pmCgoKcrtUo1q9f7+kSDIHt8Bu2xVVsh6vYDleVte1Q1EPF3MUVee+OrJdKP+9Xrlz5/39LK/G6DKlGbT3e+epj/NiNw66vcr/7Busgrezw/3/Puu6cZVddafDKwTp27JiOHTvm6WrgIWUtA71FUbK+WE16bGysJk+erGXLlikwMFCSlJmZqalTpyo2NrY4q3TKr7/+qgcffFCvvfaaQkNDnVpm/PjxSkhIcNxOT09XeHi4evTooZCQkNIq1eWsVqvWr1+v7t27y8/PfZ86Gw3b4Tdsi6vYDlexHa4qq9sh71tfo/FE3hcn66XSzfu9e/eqS5cuunXMy6oSHlWidRnViZTvtO3l0XptWDP1bxtW6uNZ5af1Ve5X9/PL5Sf3fOu3LeWEes39Th1HdVT9LuXzEIqzh8/qk//H3p2HN1Xn/f9/JV1T2gJSdloLUqAMS5GlFBUR2WTkFlcEFYpOcW7oDFg38CebGygKRUFRGUAcFneGcQGxI6JQ2UGUgoBiudnLVqChTZv8/uBLxtgWuqQ5p+3zcV29ICfnnM87pz1555Wcc/L4F1qzZo3at29vdDnwscraA6uL0vT6MoX01NRU9evXT02aNHE/AWzfvl3BwcFauXJlidcTEREhPz8/HT161GP60aNH1aBBg0Lz79u3T/v379eAAQPc05zOi4ed+fv7a/fu3brmmms8lgkKClJQUFChdQUEBFTKP97KWre3sR3+i21xEdvhIrbDRZVtO5i1Vm/0e1/0eqli+73VapXdbpfDKeW7yvXFOKaVV+CS3W6X8nN9FpolKUAOn41nKciT3W5XXkGe8i35PhnT1xwuh+x2u6xWq2mfV1DxKlsPrC5K8zspU0hv27at9uzZo0WLFrkPVRs8eLDuu+++i+czlVBgYKA6duyotLQ091erOJ1OpaWlKTk5udD8rVq10o4dOzymPf300zp79qxmzpypyMjIsjwcAABQBG/0e3o9AAClU+qQ7nA41KpVK3366adKSkoqdwEpKSkaNmyYOnXqpC5duig1NVXnz5/X8OHDJUlDhw5V48aNNWXKFAUHB6tNmzYey9eqVUuSCk0HAABl581+T68HAKDkSh3SAwICdOHCBa8VMGjQIB0/flwTJkzQkSNHFBcXpxUrVrgvMJOZmSmrtWoeWgYAgFl5s9/T6wEAKLkyHe4+atQovfjii5o7d678/cv/FRbJyclFHvImSatXr77ssgsWLCj3+AAAoDBv9nt6PQAAJVOmjrtx40alpaXpyy+/VNu2bVWjRg2P+z/++GOvFAcAAIxDvwcAwPfKFNJr1aqlO++809u1AAAAE6HfAwDge6UK6U6nU9OmTdPPP/+svLw89ezZU5MmTSrVFd0BAIC50e8BADBOqa7S8vzzz+upp55SaGioGjdurFdffVWjRo2qqNoAAIAB6PcAABinVCF94cKFev3117Vy5UotW7ZM//73v7Vo0SI5nc6Kqg8AAPgY/R4AAOOUKqRnZmaqf//+7tu9evWSxWLRoUOHvF4YAAAwBv0eAADjlCqk5+fnKzg42GNaQECAHA6HV4sCAADGod8DAGCcUl04zuVyKTExUUFBQe5pFy5c0F//+lePr2XhK1kAAKi86PcAABinVCF92LBhhabdf//9XisGAAAYj34PAIBxShXS58+fX1F1AAAAk6DfAwBgnFKdkw4AAAAAACoOIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASfgbXQAAAAAAVDWZmZnKysry2XhOp1OStH37dlmtvvksNjc3V0FBQT4ZyygRERGKiory6ZiEdACoYN5o0kY0CAAAUDaZmZmKbdVSOfYLPhvTZrNpyZIl6t69u+x2u0/GtFokp8snQxnGFmLTroxdPn0dRkgHgAqUmZmpVq1iZbfnlGs9NluIdu3KIKgDAFAJZGVlKcd+Qf8cEafYhqE+GdNpDdRBSWvGJsjqzKvw8bb8clxJ7+5Wh6Ed1KRzkwofzwhnDpzRmpfWKCsri5AOAFVFVlaW7PYcxT84UeENo8u0juzD+7V+3mSfNwgAAFA+sQ1DdW10TZ+M5VCADkpqHxWuADkqfLzzOeclSaENQhURE1Hh41UnhHQAFcJb52FVlcO8wxtG66qolkaXAQAAAJMjpAPwOm8d4i1xmDcAAACqF0I6AK/zxiHeEod5AwAAoPohpAOoMBziDQAAAJSOb75ADwAAAAAAXBEhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJf6MLAACUTEZGRrH3OZ1OSdL27dtltRb//mtERISioqK8XhsAAAC8g5AOACbnyM2TJN1///3FzmOz2bRkyRJ1795ddru92PlCbMHK2LWboA4AAGBShHQAMLn8/HxJ0rN3tFD/tvWKnMdpDdRBSWvGJsjqzCtynozD53T/W9uUlZVFSAcAADApQjpgUpmZmcrKyir2/pIc3syhzVVL04gQXRtds8j7HArQQUnto8IVIIdvCwMAAIDXENJhKt4IplLlD6eZmZmKbdVSOfYLxc5TksObObQZAAAAqFwI6TANbwVTqfKH06ysLOXYL+ifI+IU2zC0yHmudHgzhzYDAAAAlQ8hHabhjWAq/Tecfvvtt4qNjS1XTUZ/Ih/bMJTDmwEAAIBqhJAO0ylvMM3Ny5V0+Sthl5QtxKZdGbv4JBoAAACAT5gipM+ePVvTpk3TkSNH1L59e7322mvq0qVLkfO+/fbbWrhwoX788UdJUseOHfXCCy8UOz+qn0tXwu4wtIOadG5S5vWcOXBGa15aw+HiAOAF9HoAAErG8JD+3nvvKSUlRXPmzFF8fLxSU1PVt29f7d69W/XqFf6qodWrV2vw4MHq1q2bgoOD9eKLL6pPnz766aef1LhxYwMeAcwqtEGoImIifD7ulS5+VxIZGRleqgYAjEevBwCg5AwP6dOnT1dSUpKGDx8uSZozZ44+++wzzZs3T2PHji00/6JFizxuz507Vx999JHS0tI0dOhQn9QMFCczM1OtWsXKbs/xwtosOnzmgqSiD/0vKW8EfqPPzQdQudHrAQAoOUNDel5enjZv3qxx48a5p1mtVvXq1Uvp6eklWkdOTo4cDoeuuuqqIu/Pzc1Vbm6u+3Z2drYkyeFwyOGoPBfbulRrZaq5tJxOp2w2m5zWQDkUUOQ8l6YXd78kufwCZbPZFOgXKH9X2f/EAywBF+txOku83Y8dOybJpRtGTFZY/bKH2hO/7dEPH8zQ6Ty/Mm8Le4FLNptNSUlJZa7jEluITZs2blKTJiU7feDS7zLAKvlbnGUeN8CqK/4OzL5veGNbBPpZZLPZJP+gcu0bTmtgqf+mKxuz/z0Up7LVWxq+6PVSxfZ7bz2nmVlJnme8qSTPWd7mrdcHZlaW1y6oGCV5Xettvt6v2KdKpzTLW1wul6tco5XDoUOH1LhxY61bt04JCQnu6U888YS++eYbrV+//orrGDlypFauXKmffvpJwcHBhe6fNGmSJk+eXGj64sWLFRISUr4HAACAF+Tk5GjIkCE6c+aMwsPDjS7Hq3zR6yX6PQDA3ErT6yv1Wx5Tp07V0qVLtXr16mKb9rhx45SSkuK+nZ2drcjISPXp06dSvRByOBxatWqVevfurYAA373r7Evbt29X9+7dtWZsgtpHFf27cShAq2rfp96nFhV7dff03YfVb+YP6jamm5p1b1bmek7sO6EvHv9Ca9asUfv27Uv1GG567HXVjowp89iHd/+g9Ncf1dvD2+mezg2LnOdK26IqbIdTB/bo65dHXnZss+8b3tgW3vh7kKQN+46r9ytbylTDH5X26ApfMfvfQ3EufeqLwkrS66WK7ffeek4zs5I8z3hTSZ6zvM1bfdHMytKzUTFK8rrW23y9X7FPlU5per2hIT0iIkJ+fn46evSox/SjR4+qQYMGl1325Zdf1tSpU/XVV1+pXbt2xc4XFBSkoKCgQtMDAgIq1Qu4Sypr3SVhtVplt9tldeZd8YklQI5i57EU5MlutyuvIE/5lvwy1+NwOS7WY7WWeJtfegwOp5TvspZ57LwCl+x2u5SfW+ZtURW2g8OpEo9t1n3DG9vCG38PkuTMzZHdbvfaNx+cOnVKTZs2LfN6KpJZ/x6KU5lqLS1f9HqpYvu9t57TzKw0zzPedLnnLG/zVl80s7L0bFSM0ryu9TZf7VfsU6VTmuUNDemBgYHq2LGj0tLSNHDgQEkXz99IS0tTcnJyscu99NJLev7557Vy5Up16tTJR9UCQNVg1DcfoHqi1wMAUDqGH+6ekpKiYcOGqVOnTurSpYtSU1N1/vx59xVghw4dqsaNG2vKlCmSpBdffFETJkzQ4sWLFR0drSNHjkiSQkNDFRoaatjjAABUvCt9xaHTefGiXtu3b5fVWvwnnrm5uUV+6lpafPNBydDrAQAoOcND+qBBg3T8+HFNmDBBR44cUVxcnFasWKH69etLuviC7PcvtN544w3l5eXprrvu8ljPxIkTNWnSJF+WDgDwoczMTMW2aqkc+4Vi57HZbFqyZIm6d+9+8dDdYlgtktMLl021hdi0K2MXQf0K6PUAAJSc4SFdkpKTk4s95G316tUet/fv31/xBQEATCcrK0s59gv654g4xTYs+tNUpzVQByWtGZsgqzOvyHm2/HJcSe/u9tq5+VlZWYT0EqDXAwBQMqYI6QAAlFRsw1BdG12zyPscCtBBSe2jwou9aM75nPOSODcfAACYU9W8RCkAAAAAAJUQIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASfgbXQAAXElGRkax9zmdTknS9u3bZbUW/75jRESEoqKivF4bAAAA4E2EdACm5cjNkyTdf//9xc5js9m0ZMkSde/eXXa7vdj5QmzByti1m6AOAAAAUyOkAzCt/Px8SdKzd7RQ/7b1ipzHaQ3UQUlrxibI6swrcp6Mw+d0/1vblJWVRUgHAACAqRHSAZhe04gQXRtds8j7HArQQUnto8IVIIdvCwMAAAC8jAvHAQAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJLhwHAAAAwKcyMzOVlZVldBkVJiMjw+gSUIkR0gFUG+VtmBEREXyFGwAA5ZSZmalWrWJlt+cYXUoFs+jwmQuSiv6GGqA4hHR4TXnfEeUdR1SU3LxcSdL9999frvXYQmzalbGLoF5GPEcAACQpKytLdnuO4h+cqPCG0UaXUyGO/7pL2xa/qNM5+UaXgkqIkA6v8N47orzjCO/Lz7/YIDsM7aAmnZuUaR1nDpzRmpfWKCsri5BeBjxHAAD+KLxhtK6Kaml0GRXCfr6qHyWAikRIh1d44x1R3nFERQttEKqImAijy6iWeI4AAAAoGUJ6FeONi3CU57zb8rwjyjuOQNXHcwQAAMDlEdKrkMzMTLWKbSV7jr1c6+G8WwAAAAAwBiG9CsnKypI9x67uT3RXzciyna/JebcAAAAAYBxCehVUM7Im590CAAAAQCVkNboAAAAAAABwESEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlThPTZs2crOjpawcHBio+P14YNGy47/wcffKBWrVopODhYbdu21eeff+6jSgEAQFnQ6wEAKBnDQ/p7772nlJQUTZw4UVu2bFH79u3Vt29fHTt2rMj5161bp8GDB+uhhx7S1q1bNXDgQA0cOFA//vijjysHAAAlQa8HAKDkDA/p06dPV1JSkoYPH67WrVtrzpw5CgkJ0bx584qcf+bMmerXr58ef/xxxcbG6tlnn9W1116rWbNm+bhyAABQEvR6AABKzt/IwfPy8rR582aNGzfOPc1qtapXr15KT08vcpn09HSlpKR4TOvbt6+WLVtW5Py5ubnKzc113z5z5owk6eTJk3I4HOV8BNKxY8d09OjRcq/HarXK6XQWe7/T6VROTo6+/fZbWa1Fv7eyZ88eBQcH6+yvZ6ULZavj7OGzCg4OVnZ2tk6cOFHi5bKzsxUcHKxzB3+WHPYyjW0/8ouCg4O1OytPq38+W+Q8Tmugcv6Uo2/3npPVmVfkPD8eylNwcLByDuUoa0dWmWqRyrYtvLEdJO9sC7bDf3ljW7Bv/JdRfxNVYTsUu66zFx+Py+Uq13rMyBe9XqrYfu+t5zQzK8n+5U0l2Ve9zVv7vpl583mpIrFPVQxf71fsU6VcV2l6vctABw8edElyrVu3zmP6448/7urSpUuRywQEBLgWL17sMW327NmuevXqFTn/xIkTXZL44Ycffvjhx/Q/Bw4c8E6DNRFf9HqXi37PDz/88MNP5fgpSa839JN0Xxg3bpzHu/FOp1MnT55UnTp1ZLFYDKysdLKzsxUZGakDBw4oPDzc6HIMw3b4L7bFRWyHi9gOF1XW7eByuXT27Fk1atTI6FIqrarS76uLyrqvAmbGfmVupen1hob0iIgI+fn5FTpc/OjRo2rQoEGRyzRo0KBU8wcFBSkoKMhjWq1atcpetMHCw8PZ6cR2+D22xUVsh4vYDhdVxu1Qs2ZNo0uoEL7o9VLV6/fVRWXcVwGzY78yr5L2ekMvHBcYGKiOHTsqLS3NPc3pdCotLU0JCQlFLpOQkOAxvyStWrWq2PkBAIBx6PUAAJSO4Ye7p6SkaNiwYerUqZO6dOmi1NRUnT9/XsOHD5ckDR06VI0bN9aUKVMkSaNHj9aNN96oV155RX/+85+1dOlSbdq0SW+99ZaRDwMAABSDXg8AQMkZHtIHDRqk48ePa8KECTpy5Iji4uK0YsUK1a9fX5KUmZnpcTXzbt26afHixXr66af11FNPKSYmRsuWLVObNm2Megg+ERQUpIkTJxY6lK+6YTv8F9viIrbDRWyHi9gO5kSvxx+xrwLex35VdVhcrir4fS8AAAAAAFRChp6TDgAAAAAA/ouQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOmVwOzZsxUdHa3g4GDFx8drw4YNRpfkc2vWrNGAAQPUqFEjWSwWLVu2zOiSDDFlyhR17txZYWFhqlevngYOHKjdu3cbXZbPvfHGG2rXrp3Cw8MVHh6uhIQEffHFF0aXZbipU6fKYrFozJgxRpfic5MmTZLFYvH4adWqldFlASgGr20A7+F1ctVDSDe59957TykpKZo4caK2bNmi9u3bq2/fvjp27JjRpfnU+fPn1b59e82ePdvoUgz1zTffaNSoUfr++++1atUqORwO9enTR+fPnze6NJ9q0qSJpk6dqs2bN2vTpk3q2bOnbrvtNv30009Gl2aYjRs36s0331S7du2MLsUwf/rTn3T48GH3z3fffWd0SQCKwGsbwLt4nVz18D3pJhcfH6/OnTtr1qxZkiSn06nIyEj97W9/09ixYw2uzhgWi0WffPKJBg4caHQphjt+/Ljq1aunb775Rt27dze6HENdddVVmjZtmh566CGjS/G5c+fO6dprr9Xrr7+u5557TnFxcUpNTTW6LJ+aNGmSli1bpm3bthldCoAr4LUNUHF4nVw18Em6ieXl5Wnz5s3q1auXe5rValWvXr2Unp5uYGUwizNnzki6GFCrq4KCAi1dulTnz59XQkKC0eUYYtSoUfrzn//s8VxRHe3Zs0eNGjVSs2bNdN999ykzM9PokgD8Aa9tAODK/I0uAMXLyspSQUGB6tev7zG9fv362rVrl0FVwSycTqfGjBmj6667Tm3atDG6HJ/bsWOHEhISdOHCBYWGhuqTTz5R69atjS7L55YuXaotW7Zo48aNRpdiqPj4eC1YsEAtW7bU4cOHNXnyZN1www368ccfFRYWZnR5AP4fXtsAwJUR0oFKatSoUfrxxx+r7Xm3LVu21LZt23TmzBl9+OGHGjZsmL755ptqFdQPHDig0aNHa9WqVQoODja6HEPdcsst7v+3a9dO8fHxuvrqq/X+++9Xy1MgAABA5UVIN7GIiAj5+fnp6NGjHtOPHj2qBg0aGFQVzCA5OVmffvqp1qxZoyZNmhhdjiECAwPVvHlzSVLHjh21ceNGzZw5U2+++abBlfnO5s2bdezYMV177bXuaQUFBVqzZo1mzZql3Nxc+fn5GVihcWrVqqUWLVpo7969RpcC4Hd4bQMAV8Y56SYWGBiojh07Ki0tzT3N6XQqLS2t2p57W925XC4lJyfrk08+0X/+8x81bdrU6JJMw+l0Kjc31+gyfOrmm2/Wjh07tG3bNvdPp06ddN9992nbtm3VNqBLFy+mt2/fPjVs2NDoUgD8Dq9tAODK+CTd5FJSUjRs2DB16tRJXbp0UWpqqs6fP6/hw4cbXZpPnTt3zuMTsV9//VXbtm3TVVddpaioKAMr861Ro0Zp8eLF+te//qWwsDAdOXJEklSzZk3ZbDaDq/OdcePG6ZZbblFUVJTOnj2rxYsXa/Xq1Vq5cqXRpflUWFhYoesR1KhRQ3Xq1Kl21yl47LHHNGDAAF199dU6dOiQJk6cKD8/Pw0ePNjo0gD8Aa9tAO/idXLVQ0g3uUGDBun48eOaMGGCjhw5ori4OK1YsaLQBVequk2bNummm25y305JSZEkDRs2TAsWLDCoKt974403JEk9evTwmD5//nwlJib6viCDHDt2TEOHDtXhw4dVs2ZNtWvXTitXrlTv3r2NLg0G+b//+z8NHjxYJ06cUN26dXX99dfr+++/V926dY0uDcAf8NoG8C5eJ1c9fE86AAAAAAAmwTnpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAACqJHj16aMyYMcXeHx0drdTUVJ/VA8D7COkAKsz+/ftlsVi0bds2o0sBAKBa2Lhxo0aMGGF0GSXywQcfqFWrVgoODlbbtm31+eefG10SYAqEdACGy8vLM7oEAACqhLp16yokJKRCx/BG3163bp0GDx6shx56SFu3btXAgQM1cOBA/fjjj16oEKjcCOlAFeZ0OvXSSy+pefPmCgoKUlRUlJ5//nlJ0o4dO9SzZ0/ZbDbVqVNHI0aM0Llz59zLFnU43cCBA5WYmOi+HR0drRdeeEEPPvigwsLCFBUVpbfeest9f9OmTSVJHTp0kMViUY8ePSRJiYmJGjhwoJ5//nk1atRILVu21DPPPKM2bdoUegxxcXEaP368l7YIAACVX35+vpKTk1WzZk1FRERo/Pjxcrlckgof7m6xWDR37lzdfvvtCgkJUUxMjJYvX+6+v6CgQA899JCaNm0qm82mli1baubMmR7jVUTfnjlzpvr166fHH39csbGxevbZZ3Xttddq1qxZZdwqQNVBSAeqsHHjxmnq1KkaP368du7cqcWLF6t+/fo6f/68+vbtq9q1a2vjxo364IMP9NVXXyk5ObnUY7zyyivq1KmTtm7dqpEjR+p///d/tXv3bknShg0bJElfffWVDh8+rI8//ti9XFpamnbv3q1Vq1bp008/1YMPPqiMjAxt3LjRPc/WrVv1ww8/aPjw4eXcEgAAVB3vvPOO/P39tWHDBs2cOVPTp0/X3Llzi51/8uTJuueee/TDDz+of//+uu+++3Ty5ElJF9/Qb9KkiT744APt3LlTEyZM0FNPPaX333/fYx3e7tvp6enq1auXx7S+ffsqPT29NJsCqJL8jS4AQMU4e/asZs6cqVmzZmnYsGGSpGuuuUbXX3+93n77bV24cEELFy5UjRo1JEmzZs3SgAED9OKLL6p+/folHqd///4aOXKkJOnJJ5/UjBkz9PXXX6tly5aqW7euJKlOnTpq0KCBx3I1atTQ3LlzFRgY6J7Wt29fzZ8/X507d5YkzZ8/XzfeeKOaNWtW9g0BAEAVExkZqRkzZshisahly5basWOHZsyYoaSkpCLnT0xM1ODBgyVJL7zwgl599VVt2LBB/fr1U0BAgCZPnuyet2nTpkpPT9f777+ve+65xz3d2337yJEjhV5v1K9fX0eOHCn5hgCqKD5JB6qojIwM5ebm6uabby7yvvbt27sDuiRdd911cjqd7k/BS6pdu3bu/1ssFjVo0EDHjh274nJt27b1aPSSlJSUpCVLlujChQvKy8vT4sWL9eCDD5aqHgAAqrquXbvKYrG4byckJGjPnj0qKCgocv7f9+oaNWooPDzco1fPnj1bHTt2VN26dRUaGqq33npLmZmZHuugbwO+wyfpQBVls9nKtbzVanWf33aJw+EoNF9AQIDHbYvFIqfTecX1//4NgksGDBigoKAgffLJJwoMDJTD4dBdd91VysoBAMDvXa5XL126VI899pheeeUVJSQkKCwsTNOmTdP69es9lvF2327QoIGOHj3qMe3o0aOFjrwDqiM+SQeqqJiYGNlsNqWlpRW6LzY2Vtu3b9f58+fd09auXSur1aqWLVtKunh12MOHD7vvLygoKPUVVy+9417cO/t/5O/vr2HDhmn+/PmaP3++7r333nK/2QAAQFXzxwD9/fffKyYmRn5+fqVe19q1a9WtWzeNHDlSHTp0UPPmzbVv374SLVuevp2QkFDoNcqqVauUkJBQ6scAVDV8kg5UUcHBwXryySf1xBNPKDAwUNddd52OHz+un376Sffdd58mTpyoYcOGadKkSTp+/Lj+9re/6YEHHnCfH9azZ0+lpKTos88+0zXXXKPp06fr9OnTpaqhXr16stlsWrFihZo0aaLg4GDVrFnzssv85S9/UWxsrKSLLxwAAICnzMxMpaSk6OGHH9aWLVv02muv6ZVXXinTumJiYrRw4UKtXLlSTZs21bvvvquNGze6v6HlSsrat0ePHq0bb7xRr7zyiv785z9r6dKl2rRpk8e3xADVFZ+kA1XY+PHj9eijj2rChAmKjY3VoEGDdOzYMYWEhGjlypU6efKkOnfurLvuuks333yzx9eePPjggxo2bJiGDh3qvgjMTTfdVKrx/f399eqrr+rNN99Uo0aNdNttt11xmZiYGHXr1k2tWrVSfHx8qR8zAABV3dChQ2W329WlSxeNGjVKo0eP1ogRI8q0rocfflh33HGHBg0apPj4eJ04ccJ9QdiSKGvf7tatmxYvXqy33npL7du314cffqhly5YV+bVuQHVjcf3xpFMAMJDL5VJMTIxGjhyplJQUo8sBAACXQd8GvI/D3QGYxvHjx7V06VIdOXKE70YHAMDk6NtAxSCkAzCNevXqKSIiQm+99ZZq165tdDkAAOAyLte3Q0NDi13uiy++0A033FDR5QGVFoe7AwAAAPCqvXv3Fntf48aN+fYW4DII6QAAAAAAmARXdwcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJ+BtdgK85nU4dOnRIYWFhslgsRpcDAIBcLpfOnj2rRo0ayWrl/XNvoN8DAMykNL2+2oX0Q4cOKTIy0ugyAAAo5MCBA2rSpInRZVQJ9HsAgBmVpNdXu5AeFhYm6eLGCQ8PN7gaFMXhcOjLL79Unz59FBAQYHQ5QKXHPmV+2dnZioyMdPcolB/93tx4XgK8j/3K3ErT66tdSL90yFt4eDhN26QcDodCQkIUHh7OEwzgBexTlQeHZXsP/d7ceF4CvI/9qnIoSa/nxDcAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMIlqd046gOrL5XIpPz9fBQUFRpfiUw6HQ/7+/rpw4UK1e+xm4efnJ39/f845B4AKVl17vUS/N4OAgAD5+fmVez2EdADVQl5eng4fPqycnByjS/E5l8ulBg0a6MCBA4REA4WEhKhhw4YKDAw0uhQAqJKqc6+X6PdmYLFY1KRJE4WGhpZrPYR0AFWe0+nUr7/+Kj8/PzVq1EiBgYHVqnk5nU6dO3dOoaGhslo5y8nXXC6X8vLydPz4cf3666+KiYnh9wAAXlbde71Evzeay+XS8ePH9X//93+KiYkp1yfqhHQAVV5eXp6cTqciIyMVEhJidDk+53Q6lZeXp+DgYJq2QWw2mwICAvTbb7+5fxcAAO+p7r1eot+bQd26dbV//345HI5yhXR+ewCqDRoWjMTfHwBUPJ5rYSRvHb3BXzEAAAAAACZBSAcAAAAAwCQI6QCAy+rRo4fGjBljmvUAAADvo9+bBxeOAwB41erVq3XTTTfp1KlTqlWrlnv6xx9/rICAAOMKAwAAXkO/rziEdACAT1x11VVGlwAAACoY/b78ONwdAEyqR48eSk5OVnJysmrWrKmIiAiNHz9eLpdLknTq1CkNHTpUtWvXVkhIiG655Rbt2bPHvfyCBQtUq1YtLVu2TB07dlRISIj69u2rAwcOuOdJTEzUwIEDPcYdM2aMevToUWxd7777rjp16qSwsDA1aNBAQ4YM0bFjxyRJ+/fv10033SRJql27tiwWixITE92P5/eHv5W0/pUrVyo2NlahoaHq16+fDh8+XJbNCQCAKdHv6fd/REgHABN755135O/vrw0bNmjmzJmaPn265s6dK+liw920aZOWL1+u9PR0uVwu9e/fXw6Hw718Tk6OpkyZojfeeEPffvutTp8+rXvvvbdcNTkcDj377LPavn27li1bpv3797sbc2RkpD766CNJ0u7du3X48GHNnDmzyPWUtP6XX35Z7777rtasWaPMzEw99thj5aofAACzod/T73+Pw90BwMQiIyM1Y8YMWSwWtWzZUjt27NCMGTPUo0cPLV++XGvXrlW3bt0kSYsWLVJkZKSWLVumu+++W9LFBvvqq68qNjZW4eHheueddxQbG6sNGzaoS5cuZarpwQcfdP+/WbNmevXVV9W5c2edO3dOoaGh7sPc6tWr53GO2u/t2bOnxPXPmTNH11xzjSQpOTlZzzzzTJnqBgDArOj39Pvf45N0ADCxrl27ymKxuG8nJCRoz5492rlzp/z9/RUfH+++r06dOmrZsqUyMjLc0/z9/dW5c2f37VatWqlWrVoe85TW5s2bNWDAAEVFRSksLEw33nijJCkzM7PE68jIyChR/SEhIe6GLUkNGzZ0H2oHAEBVQb+n3/8eIR0AqjGr1eo+5+2S3x9+9kfnz59X3759FR4erkWLFmnjxo365JNPJEl5eXler++PV4e1WCyF6gUAAJdHv69cCOkAYGLr16/3uP39998rJiZGrVu3Vn5+vsf9J06c0O7du9W6dWv3tPz8fG3atMl9e/fu3Tp9+rRiY2MlSXXr1i10YZZt27YVW8+uXbt04sQJTZ06VTfccINatWpV6J3uwMBASVJBQUGx64mNjS1R/QAAVAf0e/weIR0ATCwzM1MpKSnavXu3lixZotdee02jR49WTEyMbrvtNiUlJem7777T9u3bdf/996tx48a67bbb3MsHBARo9OjR2rRpkzZv3qzExER17drVfX5az549tWnTJi1cuFB79uzRxIkT9eOPPxZbT1RUlAIDA/Xaa6/pl19+0fLly/Xss896zHP11VfLYrHo008/1fHjx3Xu3LlC6ylp/QAAVAf0e/weIR0ATGzo0KGy2+3q0qWLRo0apdGjR2vEiBGSpPnz56tjx4669dZblZCQIJfLpc8//9zjkLGQkBA9/vjjSkpK0g033KDQ0FC999577vv79u2r8ePH64knnlDnzp119uxZDR06tNh66tatqwULFuiDDz5Q69atNXXqVL388sse8zRu3FiTJ0/W2LFjVb9+fSUnJxe5rpLUDwBAdUC/x+9ZXNXsYP/s7GzVrFlTZ86cUXh4uNHloAgOh0Off/65+vfvz84Lr7hw4YJ+/fVXNW3aVMHBwUaXU2I9evRQXFycUlNTy7T8ggULNGbMGJ08eVLZ2dkKDw+X1cp7s0a53N8hvcn72KbmRq+Ht1XWXi/R76sSb/V6fnsAAAAAAJgEIR0AAAAAAJPwN7oAAEDRVq9eXa7lExMTlZiYKKfT6Z2CAACA19Hv8Ud8kg4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBFd3B1CtZWZmKisry2fjRUREKCoqymfjAQBQ3dHrUdkQ0gFUW5mZmWrVKlZ2e47PxrTZQrRrV4bpmnd0dLTGjBmjMWPGFDtPXl6eWrdurYULF6pbt26+K84ELBaLPvnkEw0cOLDI+3fu3Kk+ffpo9+7dqlGjhm+LAwAUi17/X/T6yzNTryekA6i2srKyZLfnKP7BiQpvGF3h42Uf3q/18yYrKyvLdI27JObMmaOmTZtW6qa9f/9+NW3aVFu3blVcXJzX1tu6dWt17dpV06dP1/jx4722XgBA+dDrS4deXzxf9npCOoBqL7xhtK6Kaml0Gabmcrk0a9YsPfPMM+VeT0FBgfz9q177GT58uJKSkjRu3Lgq+fgAoDKj118Zvf7KfNXruXAcAJhYjx49lJycrOTkZNWsWVMREREaP368XC6Xe55Tp05p6NChql27tkJCQnTLLbdoz549HutZvny52rZtq6CgIEVHR+uVV14pVR2bN2/Wvn379Oc//9k9bf/+/bJYLFq6dKm6deum4OBgtWnTRt988417ntWrV8tiseiLL75Qx44dFRQUpO+++05Op1NTpkxR06ZNZbPZ1L59e3344YeFllu5cqU6dOggm82mnj176tixY/riiy8UGxur8PBwDRkyRDk5/z2EccWKFbr++utVq1Yt1alTR7feeqv27dvnvr9p06aSpA4dOshisahHjx7u++bNm6c//elPCgoKUsOGDZWcnOyxDbKysnT77bcrJCREMTExWr58ucf9vXv31smTJz0ePwAAV+KtXv/RRx8pISFBNpuNXq/K3esJ6QBgcu+88478/f21YcMGzZw5U9OnT9fcuXPd9ycmJmrTpk1avny50tPT5XK51L9/fzkcDkkXm+7w4cM1aNAg7dixQ5MmTdL48eO1YMGCEtfw7bffqkWLFgoLCyt03+OPP65HH31UW7duVUJCggYMGKATJ054zDN27FhNnTpVGRkZateunaZMmaKFCxdqzpw5+umnn/TII4/o/vvvL9T0Jk2apFmzZmndunU6cOCA7rnnHqWmpmrx4sX67LPP9OWXX+q1115zz3/+/HmlpKRo06ZNSktLk9Vq1e233y6n0ylJ2rBhgyTpq6++0uHDh/Xxxx9Lkt544w2NGjVKI0aM0I4dO7R8+XI1b97co5bJkyfrnnvu0Q8//KD+/fvrvvvu08mTJ933BwYGKi4uTt9++22JtysAAJJ3ev29996rO+64Q9u3b6fXq3L3+qp3DAIAVDGRkZGaMWOGLBaLWrZsqR07dmjGjBlKSkrSnj17tHz5cq1du9Z9/tiiRYsUGRmpZcuW6e6779aMGTN044036umnn5bValWLFi20c+dOTZs2TYmJiSWq4bffflOjRo2KvC85OVl33nmnpIsNcMWKFfrHP/6hJ554wj3PM888o969e0uScnNz9cILL+irr75SQkKCJKlZs2b67rvv9Oabb+rGG290L/fcc8/puuuukyQ99NBDGjdunPbt26dmzZpJku666y59/fXXevLJJyXJXccl8+bNU926dbVz5061adNGdevWlSTVqVNHDRo08Bjn0Ucf1ejRo93TOnfu7LGuxMREDR48WJL0wgsv6NVXX9WGDRvUr18/9zyNGjXSb7/9dvmNCQDAH5S310+fPl09e/bU448/rvDwcLVq1YpeX4l7veGfpM+ePVvR0dEKDg5WfHy8+52P4qSmpqply5ay2WyKjIzUI488ogsXLvioWgDwva5du8pisbhvJyQkaM+ePSooKFBGRob8/f0VHx/vvr9OnTpq2bKlMjIyJEm7du3yuF+SrrvuOvc6SsJutys4OLjI+y41X0ny9/dXp06d3GNf0qlTJ/f/9+7dq5ycHPXu3VuhoaHun4ULF3ocriZJ7dq1c/+/fv36CgkJcTftS9OOHTvmvr1nzx4NHjxYzZo1U3h4uKKjoyVdvLpvcY4dO6ZDhw7p5ptvvswW8KylRo0aCg8P9xhbkmw2m8chefgv+j0AFK+8vT4jI8MddC+h1/9XZev1hn6S/t577yklJUVz5sxRfHy8UlNT1bdvX+3evVv16tUrNP/ixYs1duxYzZs3T926ddPPP/+sxMREWSwWTZ8+3YBHAADVQ0REhHbs2FHm5X//VSXnzp2TJH322Wdq3Lixx3xBQUEetwMCAtz/t1gsHrcvTbt0eJskDRgwQFdffbXefvttNWrUSE6nU23atFFeXl6xtdlsthI9hiuNLUknT57UNddcU6L1VSf0ewAwP3q9eXq9oZ+kT58+XUlJSRo+fLhat26tOXPmKCQkRPPmzSty/nXr1um6667TkCFDFB0drT59+mjw4MFXfDceACqz9evXe9z+/vvvFRMTIz8/P8XGxio/P99jnhMnTmj37t1q3bq1JKlVq1aF1rF27Vq1aNFCfn5+JaqhQ4cO2rVrl8dFbH5fzyX5+fnavHmzYmNji11X69atFRQUpMzMTDVv3tzjJzIyskT1FOXS43766ad18803KzY2VqdOnfKYJzAwUJI8PlUICwtTdHS00tLSyjz2JT/++KM6dOhQ7vVUNfR7ALi88vb62NhYrV271mMd9PrK2+sN+yQ9Ly9Pmzdv1rhx49zTrFarevXqpfT09CKX6datm/75z39qw4YN6tKli3755Rd9/vnneuCBB4odJzc3V7m5ue7b2dnZkiSHw+G+0ALM5dLvhd8PvMXhcMjlcsnpdHq8G3rp/9mH9kuF+5HXZR/e7x73j+/KXk5mZqYeeeQRjRgxQlu2bNFrr72madOmyel06pprrtH//M//KCkpSW+88YbCwsI0btw4NW7cWAMGDJDT6dQjjzyirl276tlnn9WgQYOUnp6uWbNmadasWR51XNpGRbnxxht17tw57dixQ23atHE/DuniYczXXHONYmNjlZqaqlOnTikxMdHjcf7+/zVq1NCjjz6qRx55RPn5+br++ut15swZrVu3TmFhYRo2bFiRy/3x30s1X5pWs2ZN1alTR2+++abq16+vzMxMPfXUUx7riYiIkM1m0xdffKFGjRopODhYNWvW1IQJEzRy5EjVrVtX/fr109mzZ7Vu3TqPq74W9Xv7/bT9+/fr4MGD6tmzZ5Hb0el0yuVyyeFwFHrBVJWf7+j3KAq9Ht5Gr39E8fHxmjZtmu6//359//339PpK3OsNC+lZWVkqKChQ/fr1PabXr19fu3btKnKZIUOGKCsrS9dff71cLpfy8/P117/+1f2LKcqUKVM0efLkQtO//PJLhYSElO9BoEKtWrXK6BJQRfj7+6tBgwY6d+6cx6FQQUFBCrbZtH5+4eeIihJssykoKMgdIK4kPz9fgwYN0pkzZxQfHy8/Pz89/PDDuvfee93rmDlzpsaOHasBAwbI4XCoW7duWrp0qex2u+x2u2JiYjR//nxNmTJFzz//vOrXr69x48bpjjvucK/D6XTqwoULxdYVEBCgW2+9VfPnz9fEiRMl/fdQtvHjx2vKlCnasWOHmjVrpsWLFyswMFDZ2dnuc7bOnj0rq/W/B2899thjCgsL05QpU7R//37VrFlT7du31yOPPFLschcuXJDL5fKoMTc3VwUFBe5pc+fO1dixY9WuXTs1b95cL774om699VbZ7Xb3PFOnTtVLL72kiRMnKiEhQZ9++qluv/12nT59WrNnz9bjjz+uOnXq6H/+5388xvr9OqSLLxp+v80WLFignj17qnbt2kVux7y8PNntdq1Zs0b5+fke91Xl89jp97gcej28pbr3+ubNm7t7/bRp0+j1lbzXW1xFHc/gA4cOHVLjxo21bt06jwsRPPHEE/rmm28KHfIhXfwuvXvvvVfPPfec4uPjtXfvXo0ePVpJSUkaP358keMU9c56ZGSksrKyFB4e7v0HhnJzOBxatWqVevfuXei8EKAsLly4oAMHDrgvWvV7mZmZysrK8lktERERioqKKvH8PXv2VPv27TVjxowyj+lyuXT27FmFhYV5XJSmtH744Qf17dtXe/bsUWhoqPbv369rrrlGmzdvVlxcXJnXWxXk5eWpZcuW+uc//1nowj2XXLhwQfv371dkZGShv8Ps7GxFRETozJkzVa430e9RFHo9vK2693rJO/2eXl88X/Z6wz5Jj4iIkJ+fn44ePeox/ejRox6Xyv+98ePH64EHHtBf/vIXSVLbtm11/vx5jRgxQv/f//f/ebxzc0lQUFChixNIF98poimYG78jeEtBQYEsFousVmuh54no6Gj3VUHN6lLtZXXpcKzyricuLk4vvviifvvtN7Vt29a9rqK2a3Xzf//3f3rqqad0ww03FDuP1Wp1XxDnj89tVfm5jn6Py+H3A2+p7r1e8k6/p9cXz5e93rAtHRgYqI4dO3qcvO90OpWWlubxTvvv5eTkFPrjuHSsv0EHBABAtZKYmKi2bdsaXYbpNG/eXA8//LDRZZgS/R4AKhd6fdF82esN/Qq2lJQUDRs2TJ06dVKXLl2Umpqq8+fPa/jw4ZKkoUOHqnHjxpoyZYqki5fbnz59ujp06OA+/G38+PEaMGBAia9aCACVyerVq40uoVjR0dEEJpQI/R4Aikevxx8ZGtIHDRqk48ePa8KECTpy5Iji4uK0YsUK98VlMjMzPd5Jf/rpp2WxWPT000/r4MGDqlu3rgYMGKDnn3/eqIcAAACugH4PAEDJGXbhOKNkZ2erZs2aVfLiPFWFw+HQ559/rv79+3OeGrziwoUL+vXXX9W0adNCF/GoDpxOp7KzsxUeHl7tzycz0uX+DulN3sc2NTd6Pbytuvd6iX5vBt7q9fz2AAAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkDL1wHAAYLTMzU1lZWT4bLyIiQlFRUT4bDwCA6o5ej8qGkA6g2srMzFRsq5bKsV/w2ZghtmBl7NptquYdHR2tMWPGaMyYMUaXAgCAV9HrL6LXVy6EdADVVlZWlnLsF/TPEXGKbRha4eNlHD6n+9/apqysLFM1bgAAqip6PSojQjqAai+2Yaiuja5pdBkAAKCC0OtRmXDhOAAwsR49eig5OVnJycmqWbOmIiIiNH78eLlcLknSqVOnNHToUNWuXVshISG65ZZbtGfPHo91fPTRR0pISJDNZlN0dLReeeUVIx4KAAAogrd6fdu2bVW/fn01a9aMXl/JEdIBwOTeeecd+fv7a8OGDZo5c6amT5+uuXPnSpISExO1adMmLV++XOnp6XK5XOrfv78cDockafPmzbr33nt1xx13aPv27Zo0aZLGjx+vBQsWGPiIAADA75W3199zzz0aNGiQ1q5dqwkTJtDrKzkOdwcAk4uMjNSMGTNksVjUsmVL7dixQzNmzFCPHj20fPlyrV27Vt26dZMkLVq0SJGRkVq2bJnuvvtuTZ8+XT179tTjjz+u8PBwtWrVSjt37tS0adOUmJho7AMDAACSyt/rb775Zj399NPKzs7Wtddeq127dtHrKzE+SQcAk+vatassFov7dkJCgvbs2aOdO3fK399f8fHx7vvq1Kmjli1bKiMjQ5KUkZGh6667zmN91113nfbs2aOCggLfPAAAAHBZ9Hr8HiEdAAAAAACTIKQDgMmtX7/e4/b333+vmJgYtW7dWvn5+R73nzhxQrt371br1q0lSbGxsVq7dq3H8mvXrlWLFi3k5+dX8cUDAIArotfj9zgnHUC1l3H4nKnHyczMVEpKih5++GFt2bJFr732ml555RXFxMTotttuU1JSkt58802FhYVp7Nixaty4sW677TZJ0qOPPqrOnTtr2rRpeuCBB7R+/XrNmjVLr7/+ujcfGgAAplYdev1zzz2n/v37a8eOHfT6So6QDqDaioiIUIgtWPe/tc1nY4bYghUREVGqZYYOHSq73a4uXbrIz89Po0eP1ogRIyRJ8+fP1+jRo3XrrbcqLy9P3bt31+eff66AgABJ0rXXXqulS5dqwoQJmjZtmho2bKhnnnmGC8kAAKqF6tLr33//fU2YMEHPPfccvb4KIKQDqLaioqKUsWu3srKyfDZmRESEoqKiSrVMQECAUlNT9cYbbxS6r3bt2lq4cOFll7/zzjvVu3dvhYeHy2otfJbT/v37S1UPAACVRXXq9bfffruys7OL7Pf0+sqFkA6gWouKiip1IwUAAJUHvR6VDReOAwAAAADAJPgkHQBMbPXq1UaXAAAAKhC9Hn/EJ+kAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASXB1dwDVWmZmprKysnw2XkREBN/VCgCAD9HrUdkQ0gFUW5mZmWoV20r2HLvPxrSF2LQrY1eJm3ePHj0UFxen1NTUii2shMxWDwDv8WWQcTqdkqTt27fLavXdgZ25ubkKCgry2XhGICB6oteXntnqqY4I6QCqraysLNlz7Or+RHfVjKxZ4eOdOXBGa15ao6ysLJ++gMrLy/PZWAAqp8zMTMW2aqkc+wWfjGez2bRkyRJ1795ddrvvwpPVIjldPhvOEKUNiFVdder1/v5Eu6qC32Q5+frwGSPwjiyqupqRNRURE2F0GYUkJibqm2++0TfffKOZM2dKkvbu3asXXnhB//nPf3TkyBFFRUVp5MiRGj16tMdyp0+fVufOnTV79mwFBQVp69atWrdunZKTk7Vr1y61adNGTz/9tG6//XZt3bpVcXFxkqQff/xRjz/+uL799lvVqFFDffr00YwZMxQREVFkPb/++quio6N9vWkAeFlWVpZy7Bf0zxFxim0YWuHjOa2BOihpzdgEWZ2+eSNxyy/HlfTubnUY2kFNOjfxyZi+ZlRArAyqQ6/ft2+f1q9fryeffJJeX8kR0sshMzNTrVrFym7PMbqUCmWzhWjXrgye7AEfmzlzpn7++We1adNGzzzzjCSpdu3aatKkiT744APVqVNH69at04gRI9SwYUPdc8897mXT0tIUHh6uVatWyel0Kjs7W7fddpv69++vxYsX67ffftOYMWM8xjt9+rR69uypv/zlL5oxY4bsdruefPJJ3XPPPfrPf/5TZD1169b12fYAUPFiG4bq2uiK/7TRoQAdlNQ+KlwBclT4eJJ0Pue8JCm0QagpwxqqJ2/1eknKzs7W4MGD6fVVACG9HLKysmS35yj+wYkKbxhtdDkVIvvwfq2fN5l3ZAED1KxZU4GBgQoJCVGDBg3c0ydPnuz+f9OmTZWenq7333/fo3HXqFFDc+fOVWBgoJxOp1JTU2WxWPT2228rODhYrVu31sGDB5WUlOReZtasWerQoYNeeOEF97R58+YpMjJSP//8s1q0aFFkPQAAoGy81esl6fXXX5fFYtFbb72lkJAQen0lRkj3gvCG0boqqqXRZQCoJmbPnq158+YpMzNTdrtdeXl57kPYLmnbtq27aUsXD51r166dgoOD3dO6dOniscz27dv19ddfKzS08KGu+/btU4sWLbz7QAAAQJHK0ut//vln/elPf6LXVwGEdACoRJYuXarHHntMr7zyihISEhQWFqZp06Zp/fr1HvPVqFGj1Os+d+6cBgwYoBdffLHQfQ0bNixzzQAAoOTo9SCkA4CJBQYGqqCgwH177dq16tatm0aOHOmetm/fviuup3nz5vrggw88vn5o48aNHvNce+21+uijjxQdHV3sFWL/WA8AACgfb/X6Fi1a6J///Kdyc3Nls9kk0esrK999MSUAoNSio6O1fv167d+/X1lZWYqJidGmTZu0cuVK/fzzzxo/fnyhBlyUu+66S06nUyNGjFBGRoZWrlypl19+WZJksVgkSaNGjdLJkyc1ePBgbdy4Ufv27dPKlSs1fPhwd7P+Yz2XvusYAACUjbd6/ZAhQ+R0OvXwww/T6ys5PkkHUO2dOXDGtOM89thjGjZsmFq3bi273a5du3Zp69atGjRokCwWiwYPHqyRI0fqiy++uOx6wsPD9a9//UujRo1SXFyc2rZtqwkTJmjIkCHuc9caNWqktWvX6sknn1SfPn2Um5urq6++Wv369ZPVai2yHr6WBQBQGVSXXr9kyRI98cQT9PpKjpAOoNqKiIiQLcSmNS+t8dmYthCbIiJK/tU/LVq0UHp6use0+fPna/78+R7TpkyZ4v7/ggULilxXt27dtH37dvftRYsWKSAgwOObG2JiYvTxxx+Xqh4AAMyquvX6+Ph4bd261R246fWVEyEdQLUVFRWlXRm7lJWV5bMxIyIiDPs6w4ULF6p58+Zq3Lixtm/f7v5e1EvnrQEAUNVUt16/dOlStW7dWpGRkfT6SoyQDqBai4qKMqyR+trRo0c1adIkHTlyRA0bNtTdd9+t559/3uiyAACoUNWt10+dOpVeX8kR0gGgmnj88cf15JNPGl0GAACoIKNHj9b48ePdh7ujcuK3BwAAAACASRDSAQAAAAAwCUI6gGrD5XIZXQKqMf7+AKDi8VwLI3nr74+QDqDKCwgIkCTl5OQYXAmqs0t/f5f+HgEA3kOvhxnk5eVJkvz8/Mq1Hi4cB6DK8/PzU61atXTs2DFJUkhIiCwWi8FV+Y7T6VReXp4uXLjAhWQM4HK5lJOTo2PHjqlWrVrlbtwAgMKqe6+X6PdGczqdOn78uEJCQuTvX76YTUgHUC00aNBAktzNuzpxuVyy2+2y2WzV7gWLmdSqVcv9dwgA8L7q3Osl+r0ZWK1WRUVFlXv7E9IBVAsWi0UNGzZUvXr15HA4jC7HpxwOh9asWaPu3btzqLVBAgIC+AQdACpYde71Ev3eDAIDA71yFAMhHUC14ufnV+3Ckp+fn/Lz8xUcHEzTBgBUedWx10v0+6qEkxUAAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoaH9NmzZys6OlrBwcGKj4/Xhg0bLjv/6dOnNWrUKDVs2FBBQUFq0aKFPv/8cx9VCwAAyoJ+DwBAyRj6PenvvfeeUlJSNGfOHMXHxys1NVV9+/bV7t27Va9evULz5+XlqXfv3qpXr54+/PBDNW7cWL/99ptq1arl++IBAECJ0O8BACg5Q0P69OnTlZSUpOHDh0uS5syZo88++0zz5s3T2LFjC80/b948nTx5UuvWrVNAQIAkKTo62pclAwCAUqLfAwBQcoaF9Ly8PG3evFnjxo1zT7NarerVq5fS09OLXGb58uVKSEjQqFGj9K9//Ut169bVkCFD9OSTT8rPz6/IZXJzc5Wbm+u+nZ2dLUlyOBxyOBzlegxOp1M2m00BVsnf4izXuswqwCrZbDY5nc5yb6+SujSOr8YDqjr2KfOryr+bqtDvq4NLr2mc1kA5FFDh410awxdjXeLyC5TNZlOgX6D8XYZ+TlVhAiwBPn/dBvOg35tbaX4vhj1DZWVlqaCgQPXr1/eYXr9+fe3atavIZX755Rf95z//0X333afPP/9ce/fu1ciRI+VwODRx4sQil5kyZYomT55caPqXX36pkJCQcj+OJUuW/L//ZZV7XaZUr7ZGLFmigwcP6uDBgz4detWqVT4dD6jq2KfMKycnx+gSKkxV6ffVwZIlS3RQki+7/ara9/lusK7Skq7/7/+5l52z8moiDV0y1JDXbTAP+r05labXV6q3EZ1Op+rVq6e33npLfn5+6tixow4ePKhp06YV27THjRunlJQU9+3s7GxFRkaqT58+Cg8PL1c927dvV/fu3XXTY6+rdmRMudZlVqcO7NHXL4/UmjVr1L59e5+M6XA4tGrVKvXu3dt9mCOAsmOfMr9Ln/riIrP1++rg0muaNWMT1D6q4reXQwFaVfs+9T61SAHyzad+6bsPq9/MH9RtTDc1697MJ2P62ol9J/TF41/49HUbzIN+b26l6fWGhfSIiAj5+fnp6NGjHtOPHj2qBg0aFLlMw4YNFRAQ4HGoW2xsrI4cOaK8vDwFBgYWWiYoKEhBQUGFpgcEBJT7j9dqtcput8vhlPJdhl8ov0I4nJLdbpfVavX5zu6N3xGA/2KfMq+q/HupCv2+Orj0msbqzPNZaJakADl8Np6lIE92u115BXnKt+T7ZExfc7gchr1ug3nwvGdOpfmdGJYsAwMD1bFjR6WlpbmnOZ1OpaWlKSEhochlrrvuOu3du1dO53/P//7555/VsGHDIhs2AAAwFv0eAIDSMfTj35SUFL399tt65513lJGRof/93//V+fPn3Vd/HTp0qMeFZv73f/9XJ0+e1OjRo/Xzzz/rs88+0wsvvKBRo0YZ9RAAAMAV0O8BACg5Q89JHzRokI4fP64JEyboyJEjiouL04oVK9wXl8nMzJTV+t/3ESIjI7Vy5Uo98sgjateunRo3bqzRo0frySefNOohAACAK6DfAwBQcoZfOC45OVnJyclF3rd69epC0xISEvT9999XcFUAAMCb6PcAAJRM1bzaGQAAAAAAlRAhHQAAAAAAkyhTSP/666+9XQcAADAZ+j0AAL5XppDer18/XXPNNXruued04MABb9cEAABMgH4PAIDvlSmkHzx4UMnJyfrwww/VrFkz9e3bV++//77y8vK8XR8AADAI/R4AAN8rU0iPiIjQI488om3btmn9+vVq0aKFRo4cqUaNGunvf/+7tm/f7u06AQCAj9HvAQDwvXJfOO7aa6/VuHHjlJycrHPnzmnevHnq2LGjbrjhBv3000/eqBEAABiMfg8AgG+UOaQ7HA59+OGH6t+/v66++mqtXLlSs2bN0tGjR7V3715dffXVuvvuu71ZKwAA8DH6PQAAvuVfloX+9re/acmSJXK5XHrggQf00ksvqU2bNu77a9SooZdfflmNGjXyWqEAAMC36PcAAPhemUL6zp079dprr+mOO+5QUFBQkfNERETw1S0AAFRi9HsAAHyvTIe7T5w4UXfffXehhp2fn681a9ZIkvz9/XXjjTeWv0IAAGAI+j0AAL5XppB+00036eTJk4WmnzlzRjfddFO5iwIAAMaj3wMA4HtlCukul0sWi6XQ9BMnTqhGjRrlLgoAABiPfg8AgO+V6pz0O+64Q5JksViUmJjocfhbQUGBfvjhB3Xr1s27FQIAAJ+i3wMAYJxShfSaNWtKuvjOelhYmGw2m/u+wMBAde3aVUlJSd6tEAAA+BT9HgAA45QqpM+fP1+SFB0drccee4xD3QAAqILo9wAAGKdMX8E2ceJEb9cBAABMhn4PAIDvlTikX3vttUpLS1Pt2rXVoUOHIi8kc8mWLVu8UhwAVFWZmZnKysryyVhOp1OStH37dlmtZbpeaJnk5uYW+93aVUVERISioqKMLsOr6PcAABirxCH9tttuc7/YGjhwYEXVAwBVXmZmpmJbtVSO/YJPxrPZbFqyZIm6d+8uu93ukzElyWqRnC6fDWcIW4hNuzJ2VamgTr8HAMBYJQ7pvz/kjcPfAKDssrKylGO/oH+OiFNsw9AKH89pDdRBSWvGJsjqzKvw8SRpyy/HlfTubnUY2kFNOjfxyZi+dubAGa15aY2ysrKqVEin3wMAYKwynZMOACi/2Iahuja6ZoWP41CADkpqHxWuADkqfDxJOp9zXpIU2iBUETERPhkTAACgKihxSK9du/Zlz0v7vZMnT5a5IAAAYBz6PQAAxipxSE9NTa3AMgAAgBnQ7wEAMFaJQ/qwYcMqsg4AAGAC9HsAvuDLbzkxSlX8BhD4RolDenZ2tsLDw93/v5xL8wEAgMqFfg+gomVmZqpVq1jZ7TlGl1KhbLYQ7dqVQVBHqZXqnPTDhw+rXr16qlWrVpHnq7lcLlksFhUUFHi1SAAA4Bv0ewAVLSsrS3Z7juIfnKjwhtFGl1Mhsg/v1/p5k6vcN4DAN0oc0v/zn//oqquukiR9/fXXFVYQAAAwDv2+aFX90NyMjAyjS0A1FN4wWldFtTS6DMB0ShzSb7zxxiL/DwAAqg76fWHV5dBcyaLDZy5IqvivhgQAFK/M35N+6tQp/eMf/3C/89q6dWsNHz7c/e47AACo/Oj31ePQ3OO/7tK2xS/qdE6+0aUAQLVXppC+Zs0aDRgwQDVr1lSnTp0kSa+++qqeeeYZ/fvf/1b37t29WiQAAPA9+r2nqnxorv18VT9KAAAqjzKF9FGjRmnQoEF644035OfnJ0kqKCjQyJEjNWrUKO3YscOrRQIAAN+j3wMA4HvWsiy0d+9ePfroo+6GLUl+fn5KSUnR3r17vVYcAAAwDv0eAADfK9Mn6ddee60yMjLUsqXnIV8ZGRlq3769VwqDufjyqq9Op1OStH37dlmtZXofqdRyc3MVFBTkk7GMEhERwVeAACgV+j0AAL5X4pD+ww8/uP//97//XaNHj9bevXvVtWtXSdL333+v2bNna+rUqd6vEoZx5OZJku6//36fjWmz2bRkyRJ1795ddrvdJ2NaLZLT5ZOhDGMLsWlXxi6COoDLot8DAGCsEof0uLg4WSwWuVz/TTJPPPFEofmGDBmiQYMGeac6GC4//+JVXp+9o4X6t63nkzGd1kAdlLRmbIKszrwKH2/LL8eV9O5udRjaQU06N6nw8Yxw5sAZrXlpjbKysgjpAC6Lfg8AgLFKHNJ//fXXiqwDJtc0IkTXRvvme1MdCtBBSe2jwhUgR4WPdz7nvCQptEGoImIiKnw8ADAz+j0AAMYqcUi/+uqrK7IOAABgAvR7AACMVaYLx12yc+dOZWZmKi/P85Dk//mf/ylXUQAAwDzo9wAA+E6ZQvovv/yi22+/XTt27PA4b81isUi6+B2qAACgcqPfAwDge2X6fqvRo0eradOmOnbsmEJCQvTTTz9pzZo16tSpk1avXu3lEgEAgBHo9wAA+F6ZPklPT0/Xf/7zH0VERMhqtcpqter666/XlClT9Pe//11bt271dp0AAMDH6PcAAPhemT5JLygoUFhYmCQpIiJChw4dknTxYjO7d+/2XnUAAMAw9HsAAHyvTJ+kt2nTRtu3b1fTpk0VHx+vl156SYGBgXrrrbfUrFkzb9cIAAAMQL8HAMD3yhTSn376aZ0/f/G7pZ955hndeuutuuGGG1SnTh299957Xi0QAAAYg34PAIDvlSmk9+3b1/3/5s2ba9euXTp58qRq167tvuIrAACo3Oj3AAD4Xrm+J12SDhw4IEmKjIwsdzEAAMCc6PcAAPhGmS4cl5+fr/Hjx6tmzZqKjo5WdHS0atasqaeffloOh8PbNQIAAAPQ7wEA8L0yfZL+t7/9TR9//LFeeuklJSQkSLr4NS2TJk3SiRMn9MYbb3i1SAAA4Hv0ewAAfK9MIX3x4sVaunSpbrnlFve0du3aKTIyUoMHD6ZpAwBQBdDvAQDwvTId7h4UFKTo6OhC05s2barAwMDy1gQAAEyAfg8AgO+VKaQnJyfr2WefVW5urntabm6unn/+eSUnJ3utOAAAYBz6PQAAvlfiw93vuOMOj9tfffWVmjRpovbt20uStm/frry8PN18883erRAAAPgM/R4AAGOVOKTXrFnT4/add97pcZuvZAEAoPKj3wMAYKwSh/T58+dXZB0AAMAE6PcAABirTOekX3L8+HF99913+u6773T8+PEyr2f27NmKjo5WcHCw4uPjtWHDhhItt3TpUlksFg0cOLDMYwMAgMvzRr+n1wMAUDJlCunnz5/Xgw8+qIYNG6p79+7q3r27GjVqpIceekg5OTmlWtd7772nlJQUTZw4UVu2bFH79u3Vt29fHTt27LLL7d+/X4899phuuOGGsjwEAABwBd7q9/R6AABKrkwhPSUlRd98843+/e9/6/Tp0zp9+rT+9a9/6ZtvvtGjjz5aqnVNnz5dSUlJGj58uFq3bq05c+YoJCRE8+bNK3aZgoIC3XfffZo8ebKaNWtWlocAAACuwFv9nl4PAEDJlfic9N/76KOP9OGHH6pHjx7uaf3795fNZtM999yjN954o0TrycvL0+bNmzVu3Dj3NKvVql69eik9Pb3Y5Z555hnVq1dPDz30kL799tvLjpGbm+vx1THZ2dmSJIfDIYfDUaI6i+N0OmWz2RRglfwtznKty6wC/Syy2WySf5AcCvDJmJfG8dV4Lr9A2Ww2BfoFyt9Vpl3C9AIsAbLZbHI6neX+u0f5XXrucFoDffJ37ut9SmK/Ki2z7pfe6Pe+6PUS/b68fN3veV6qGJWl31eHfSrAKp//Li6NY+bffXVWmt+LxeVyuUo7QEhIiDZv3qzY2FiP6T/99JO6dOmi8+fPl2g9hw4dUuPGjbVu3TolJCS4pz/xxBP65ptvtH79+kLLfPfdd7r33nu1bds2RUREKDExUadPn9ayZcuKHGPSpEmaPHlyoemLFy9WSEhIieoEAKAi5eTkaMiQITpz5ozCw8ONLsfNG/3eF71eot8DAMytNL2+TG8jJiQkaOLEiVq4cKGCg4MlSXa7XZMnT/ZowN529uxZPfDAA3r77bcVERFRomXGjRunlJQU9+3s7GxFRkaqT58+5X4htH37dnXv3l03Pfa6akfGlGtdZnV49w9Kf/1RvT28ne7p3NAnYzoUoFW171PvU4sUoIp/JzB992H1m/mDuo3ppmbdq+YhlSf2ndAXj3+hNWvWuL/rGMa59NyxZmyC2kdVfCDz9T4lsV+V1qVPfc3GiH5fll4v0e/Ly9f9nuelilFZ+n112KdOHdijr18e6dPfhcPh0KpVq9S7d28FBPjuKBWUTGl6fZlCempqqvr166cmTZq4/+i2b9+u4OBgrVy5ssTriYiIkJ+fn44ePeox/ejRo2rQoEGh+fft26f9+/drwIAB7mlO58VDZPz9/bV7925dc801HssEBQUpKCio0LoCAgLK/cdrtVplt9vlcEr5rnJdKN+08gpcstvtUn6uz5roJQFy+GRMS0Ge7Ha78grylG/Jr/DxjOBwOWS322W1WnnSNoFLzx1WZ55P9ytf7VMS+1VpmXW/9Ea/90Wvl+j35WVUv+d5ybsqS7+vDvuUwynDfhfeeN6D95Xmd1KmkN62bVvt2bNHixYt0q5duyRJgwcP1n333XfxfKYSCgwMVMeOHZWWlub+ahWn06m0tDQlJycXmr9Vq1basWOHx7Snn35aZ8+e1cyZMxUZGVmWhwMAAIrgjX5PrwcAoHRKHdIdDodatWqlTz/9VElJSeUuICUlRcOGDVOnTp3UpUsXpaam6vz58xo+fLgkaejQoWrcuLGmTJmi4OBgtWnTxmP5WrVqSVKh6QAAoOy82e/p9QAAlFypQ3pAQIAuXLjgtQIGDRqk48ePa8KECTpy5Iji4uK0YsUK1a9fX5KUmZkpq7VqHgYDAIBZebPf0+sBACi5Mh3uPmrUKL344ouaO3eu/P3L/xUWycnJRR7yJkmrV6++7LILFiwo9/gAAKAwb/Z7ej0AACVTpo67ceNGpaWl6csvv1Tbtm1Vo0YNj/s//vhjrxQHAACMQ78HAMD3yhTSa9WqpTvvvNPbtQAAABOh3wMA4HulCulOp1PTpk3Tzz//rLy8PPXs2VOTJk0q1RXdAQCAudHvAQAwTqmu0vL888/rqaeeUmhoqBo3bqxXX31Vo0aNqqjaAACAAej3AAAYp1QhfeHChXr99de1cuVKLVu2TP/+97+1aNEiOZ3OiqoPAAD4GP0eAADjlCqkZ2Zmqn///u7bvXr1ksVi0aFDh7xeGAAAMAb9HgAA45QqpOfn5ys4ONhjWkBAgBwOh1eLAgAAxqHfAwBgnFJdOM7lcikxMVFBQUHuaRcuXNBf//pXj69l4StZAACovOj3AAAYp1QhfdiwYYWm3X///V4rBgAAGI9+DwCAcUoV0ufPn19RdQAAAJOg3wMAYJxSnZMOAAAAAAAqDiEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAS/kYXAAB/lJmZqaysLKPLqDAZGRlGlwAAAACTIqQDMJXMzEy1ahUruz3H6FIqmEWHz1yQVNPoQgAAAGAihHQAppKVlSW7PUfxD05UeMNoo8upEMd/3aVti1/U6Zx8o0sBAAAVyJdHzzmdTknS9u3bZbX65qzm3NxcBQUF+WQso0RERCgqKsqnYxLSAZhSeMNoXRXV0ugyKoT9fFU/SgAAgOrNkZsnSbr//vt9NqbNZtOSJUvUvXt32e12n4xptUhOl0+GMowtxKZdGbt8GtQJ6QAAAADgRfn5F4+We/aOFurftp5PxnRaA3VQ0pqxCbI68yp8vC2/HFfSu7vVYWgHNencpMLHM8KZA2e05qU1ysrKIqQDAAAAQGXXNCJE10b75vozDgXooKT2UeEKkKPCxzufc16SFNogVBExERU+XnXCV7ABAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEzCFCF99uzZio6OVnBwsOLj47Vhw4Zi53377bd1ww03qHbt2qpdu7Z69ep12fkBAIDx6PUAAJSM4SH9vffeU0pKiiZOnKgtW7aoffv26tu3r44dO1bk/KtXr9bgwYP19ddfKz09XZGRkerTp48OHjzo48oBAEBJ0OsBACg5w0P69OnTlZSUpOHDh6t169aaM2eOQkJCNG/evCLnX7RokUaOHKm4uDi1atVKc+fOldPpVFpamo8rBwAAJUGvBwCg5PyNHDwvL0+bN2/WuHHj3NOsVqt69eql9PT0Eq0jJydHDodDV111VZH35+bmKjc31307OztbkuRwOORwOMpRveR0OmWz2RRglfwtznKty6wC/Syy2WySf5AcCvDJmJfG8dV4Lr9A2Ww2BfoFyt9l6C5RYQIsAbLZbHI6neX+u69o7Ffe5+t9SmK/Ki2z75fl4YteL9Hvy4vnpaqhsvR79qmKwWto7zOq11tcLperXKOVw6FDh9S4cWOtW7dOCQkJ7ulPPPGEvvnmG61fv/6K6xg5cqRWrlypn376ScHBwYXunzRpkiZPnlxo+uLFixUSElK+BwAAgBfk5ORoyJAhOnPmjMLDw40ux6t80esl+j0AwNxK0+sr9VseU6dO1dKlS7V69epim/a4ceOUkpLivp2dne0+t628L4S2b9+u7t2766bHXlftyJhyrcusDu/+QemvP6q3h7fTPZ0b+mRMhwK0qvZ96n1qkQJU8e8Cp+8+rH4zf1C3Md3UrHuzCh/PCCf2ndAXj3+hNWvWqH379kaXc1nsV97n631KYr8qrUuf+qKwkvR6iX5fXjwvVQ2Vpd+zT1UMXkN7n1G93tCQHhERIT8/Px09etRj+tGjR9WgQYPLLvvyyy9r6tSp+uqrr9SuXbti5wsKClJQUFCh6QEBAQoIKN+hIFarVXa7XQ6nlO8y/PT+CpFX4JLdbpfyc33WRC8JkMMnY1oK8mS325VXkKd8S36Fj2cEh8shu90uq9Va7r/7isZ+VXF8tU9J7FelZfb9sjx80esl+n158bxUNVSWfs8+VbF4De09RvV6Q/eKwMBAdezY0eNCMJcuDPP7Q+L+6KWXXtKzzz6rFStWqFOnTr4oFQAAlAG9HgCA0jH8cPeUlBQNGzZMnTp1UpcuXZSamqrz589r+PDhkqShQ4eqcePGmjJliiTpxRdf1IQJE7R48WJFR0fryJEjkqTQ0FCFhoYa9jgAAEDR6PUAAJSc4SF90KBBOn78uCZMmKAjR44oLi5OK1asUP369SVJmZmZslr/+4H/G2+8oby8PN11110e65k4caImTZrky9IBAEAJ0OsBACg5w0O6JCUnJys5ObnI+1avXu1xe//+/RVfEAAA8Cp6PQAAJVM1r9QAAAAAAEAlREgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKmCOmzZ89WdHS0goODFR8frw0bNlx2/g8++ECtWrVScHCw2rZtq88//9xHlQIAgLKg1wMAUDKGh/T33ntPKSkpmjhxorZs2aL27durb9++OnbsWJHzr1u3ToMHD9ZDDz2krVu3auDAgRo4cKB+/PFHH1cOAABKgl4PAEDJGR7Sp0+frqSkJA0fPlytW7fWnDlzFBISonnz5hU5/8yZM9WvXz89/vjjio2N1bPPPqtrr71Ws2bN8nHlAACgJOj1AACUnL+Rg+fl5Wnz5s0aN26ce5rValWvXr2Unp5e5DLp6elKSUnxmNa3b18tW7asyPlzc3OVm5vrvn3mzBlJ0smTJ+VwOMpVf3Z2toKDg3Xu4M+Sw16udZmV/cgvCg4O1u6sPK3++axPxnRaA5Xzpxx9u/ecrM68Ch/vx0N5Cg4OVs6hHGXtyKrw8Yxw9vBZBQcHKzs7WydOnDC6nMtiv/I+X+9TEvtVqdd19uLfgcvl8kZppuKLXi/R78uL56WqobL0e/apisFraO8zrNe7DHTw4EGXJNe6des8pj/++OOuLl26FLlMQECAa/HixR7TZs+e7apXr16R80+cONEliR9++OGHH35M/3PgwAHvNFgT8UWvd7no9/zwww8//FSOn5L0ekM/SfeFcePGebwb73Q6dfLkSdWpU0cWi8XAylCc7OxsRUZG6sCBAwoPDze6HKDSY58yP5fLpbNnz6pRo0ZGl1Jp0e8rF56XAO9jvzK30vR6Q0N6RESE/Pz8dPToUY/pR48eVYMGDYpcpkGDBqWaPygoSEFBQR7TatWqVfai4TPh4eE8wQBexD5lbjVr1jS6hArhi14v0e8rK56XAO9jvzKvkvZ6Qy8cFxgYqI4dOyotLc09zel0Ki0tTQkJCUUuk5CQ4DG/JK1atarY+QEAgHHo9QAAlI7hh7unpKRo2LBh6tSpk7p06aLU1FSdP39ew4cPlyQNHTpUjRs31pQpUyRJo0eP1o033qhXXnlFf/7zn7V06VJt2rRJb731lpEPAwAAFINeDwBAyRke0gcNGqTjx49rwoQJOnLkiOLi4rRixQrVr19fkpSZmSmr9b8f+Hfr1k2LFy/W008/raeeekoxMTFatmyZ2rRpY9RDgJcFBQVp4sSJhQ5bBFA27FMwGr0ef8TzEuB97FdVh8XlqoLf9wIAAAAAQCVk6DnpAAAAAADgvwjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHSYyuzZsxUdHa3g4GDFx8drw4YNRpcEVGpr1qzRgAED1KhRI1ksFi1btszokgCAfg94Eb2+6iGkwzTee+89paSkaOLEidqyZYvat2+vvn376tixY0aXBlRa58+fV/v27TV79myjSwEASfR7wNvo9VUPX8EG04iPj1fnzp01a9YsSZLT6VRkZKT+9re/aezYsQZXB1R+FotFn3zyiQYOHGh0KQCqMfo9UHHo9VUDn6TDFPLy8rR582b16tXLPc1qtapXr15KT083sDIAAOAt9HsAuDJCOkwhKytLBQUFql+/vsf0+vXr68iRIwZVBQAAvIl+DwBXRkgHAAAAAMAkCOkwhYiICPn5+eno0aMe048ePaoGDRoYVBUAAPAm+j0AXBkhHaYQGBiojh07Ki0tzT3N6XQqLS1NCQkJBlYGAAC8hX4PAFfmb3QBwCUpKSkaNmyYOnXqpC5duig1NVXnz5/X8OHDjS4NqLTOnTunvXv3um//+uuv2rZtm6666ipFRUUZWBmA6op+D3gXvb7q4SvYYCqzZs3StGnTdOTIEcXFxenVV19VfHy80WUBldbq1at10003FZo+bNgwLViwwPcFAYDo94A30eurHkI6AAAAAAAmwTnpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpQBXSo0cPjRkzptj7o6OjlZqa6rN6AACAd9HrgaqPkA5UIxs3btSIESOMLuOKfvrpJ915552Kjo6WxWLhxQYAACVUWXr922+/rRtuuEG1a9dW7dq11atXL23YsMHosgBTIKQD1UjdunUVEhJSoWPk5eWVex05OTlq1qyZpk6dqgYNGnihKgAAqofK0utXr16twYMH6+uvv1Z6eroiIyPVp08fHTx40AsVApUbIR2oYvLz85WcnKyaNWsqIiJC48ePl8vlklT4EDiLxaK5c+fq9ttvV0hIiGJiYrR8+XL3/QUFBXrooYfUtGlT2Ww2tWzZUjNnzvQYLzExUQMHDtTzzz+vRo0aqWXLlnrmmWfUpk2bQrXFxcVp/PjxV3wMnTt31rRp03TvvfcqKCiojFsCAICqqSr0+kWLFmnkyJGKi4tTq1atNHfuXDmdTqWlpZVxqwBVByEdqGLeeecd+fv7a8OGDZo5c6amT5+uuXPnFjv/5MmTdc899+iHH35Q//79dd999+nkyZOSJKfTqSZNmuiDDz7Qzp07NWHCBD311FN6//33PdaRlpam3bt3a9WqVfr000/14IMPKiMjQxs3bnTPs3XrVv3www8aPnx4xTxwAACqiarY63NycuRwOHTVVVeVelmgqvE3ugAA3hUZGakZM2bIYrGoZcuW2rFjh2bMmKGkpKQi509MTNTgwYMlSS+88IJeffVVbdiwQf369VNAQIAmT57snrdp06ZKT0/X+++/r3vuucc9vUaNGpo7d64CAwPd0/r27av58+erc+fOkqT58+frxhtvVLNmzSriYQMAUG1UxV7/5JNPqlGjRurVq1eplwWqGj5JB6qYrl27ymKxuG8nJCRoz549KigoKHL+du3auf9fo0YNhYeH69ixY+5ps2fPVseOHVW3bl2FhobqrbfeUmZmpsc62rZt69G0JSkpKUlLlizRhQsXlJeXp8WLF+vBBx/0xkMEAKBaq2q9furUqVq6dKk++eQTBQcHl3p5oKrhk3SgmgsICPC4bbFY5HQ6JUlLly7VY489pldeeUUJCQkKCwvTtGnTtH79eo9latSoUWi9AwYMUFBQkD755BMFBgbK4XDorrvuqrgHAgAAimTmXv/yyy9r6tSp+uqrrzzeTACqM0I6UMX8sal+//33iomJkZ+fX6nXtXbtWnXr1k0jR450T9u3b1+JlvX399ewYcM0f/58BQYG6t5775XNZit1DQAAwFNV6fUvvfSSnn/+ea1cuVKdOnUqde1AVUVIB6qYzMxMpaSk6OGHH9aWLVv02muv6ZVXXinTumJiYrRw4UKtXLlSTZs21bvvvquNGzeqadOmJVr+L3/5i2JjYyVdfBFQUnl5edq5c6f7/wcPHtS2bdsUGhqq5s2bl/6BAABQhVSFXv/iiy9qwoQJWrx4saKjo3XkyBFJUmhoqEJDQ0v/QIAqhJAOVDFDhw6V3W5Xly5d5Ofnp9GjR2vEiBFlWtfDDz+srVu3atCgQbJYLBo8eLBGjhypL774okTLx8TEqFu3bjp58qTi4+NLPO6hQ4fUoUMH9+2XX35ZL7/8sm688UatXr26tA8DAIAqpSr0+jfeeEN5eXmFDo+fOHGiJk2aVJqHAFQ5FtelL1UEAC9zuVyKiYnRyJEjlZKSYnQ5AADAy+j1gPfxSTqACnH8+HEtXbpUR44c4bvRAQCoguj1QMUgpAOoEPXq1VNERITeeust1a5d2+O+y51r9sUXX+iGG26o6PIAAEA50euBisHh7gB8bu/evcXe17hxY64CDwBAJUevB8qOkA4AAAAAgElYjS4AAAAAAABcREgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBL+Rhfga06nU4cOHVJYWJgsFovR5QAAIJfLpbNnz6pRo0ayWnn/HACA6qzahfRDhw4pMjLS6DIAACjkwIEDatKkidFlAAAAA1W7kB4WFibp4guh8PBwg6tBURwOh7788kv16dNHAQEBRpcDVHrsU+aXnZ2tyMhId48CAADVV7UL6ZcOcQ8PDyekm5TD4VBISIjCw8MJFIAXsE9VHpyGBQAAOPENAAAAAACTIKQDAAAAAGAShHQAAAAAAEyi2p2TXlIFBQVyOBxGl1EtORwO+fv768KFCyooKDC6HJ8KCAiQn5+f0WUAAAAAMAgh/Q9cLpeOHDmi06dPG11KteVyudSgQQMdOHCgWl5EqVatWmrQoEG1fOwAAABAdUdI/4NLAb1evXoKCQkhKBnA6XTq3LlzCg0NldVafc7IcLlcysnJ0bFjxyRJDRs2NLgiAAAAAL5GSP+dgoICd0CvU6eO0eVUW06nU3l5eQoODq5WIV2SbDabJOnYsWOqV68eh74DAAAA1Uz1SkBXcOkc9JCQEIMrQXV26e+PayIAAAAA1Q8hvQgc4g4j8fcHAAAAVF+EdAAAAAAATIKQDq/p0aOHxowZU+719OzZU+PGjSt/QQAAAABQyXDhOBhm9erVuummm3Tq1CnVqlXLPf3DDz+U3W43rjAAAAAAMAifpMN0rrrqKoWFhRldBgAAAAD4HCG9CujRo4eSk5OVnJysmjVrKiIiQuPHj5fL5ZIknTp1SkOHDlXt2rUVEhKiW265RXv27HEvv2DBAtWqVUvLli1TTEyMgoOD1bdvXx04cMA9T2JiogYOHOgx7pgxY9SjR49i63r33XfVqVMnhYWFqUGDBhoyZIj7O8D379+vm266SZJUu3ZtWSwWJSYmSip8uHtJ61+5cqViY2MVGhqqfv366fDhw2XangAAAABgFEJ6FfHOO+/I399fGzZs0MyZMzV9+nTNnTtX0sWAvWnTJi1fvlzp6elyuVzq37+/x1d85eTk6Pnnn9fChQu1du1anT59Wvfee2+5anI4HHr22We1fft2LVu2TPv373cH8cjISH300UeSpN27d+vw4cOaOXNmkespaf0vv/yy3n33Xa1Zs0aZmZl67LHHylU/AAAAAPga56RXEZGRkZoxY4YsFotatmypHTt2aMaMGerRo4eWL1+utWvXqlu3bpKkRYsWKTIyUsuWLdPdd98t6WKgnjVrluLj4yVdDP2xsbHasGGDunTpUqaaHnzwQff/mzVrpldffVWdO3fWuXPnFBoaqquuukqSVK9ePY9z0n9vz549Ja5/zpw5uuaaayRJycnJeuaZZ8pUNwAAAAAYhU/Sq4iuXbt6fL92QkKC9uzZo507d8rf398dviWpTp06atmypTIyMtzT/P391blzZ/ftVq1aqVatWh7zlNbmzZs1YMAARUVFKSwsTDfeeKMkKTMzs8TryMjIKFH9ISEh7oAuSQ0bNnQfWg8AAAAAlQUhHSVitVrd57hf8vvDzf/o/Pnz6tu3r8LDw7Vo0SJt3LhRn3zyiSQpLy/P6/UFBAR43LZYLIXqBQAAAACzI6RXEevXr/e4/f333ysmJkatW7dWfn6+x/0nTpzQ7t271bp1a/e0/Px8bdq0yX179+7dOn36tGJjYyVJdevWLXQhtm3bthVbz65du3TixAlNnTpVN9xwg1q1alXok+3AwEBJUkFBQbHriY2NLVH9AAAAAFAVENKriMzMTKWkpGj37t1asmSJXnvtNY0ePVoxMTG67bbblJSUpO+++07bt2/X/fffr8aNG+u2225zLx8QEKC//e1vWr9+vTZv3qzExER17drVfT56z549tWnTJi1cuFB79uzRxIkT9eOPPxZbT1RUlAIDA/Xaa6/pl19+0fLly/Xss896zHP11VfLYrHo008/1fHjx3Xu3LlC6ylp/QAAAABQFRDSq4ihQ4fKbrerS5cuGjVqlEaPHq0RI0ZIkubPn6+OHTvq1ltvVUJCglwulz7//HOPQ8RDQkL05JNPasiQIbruuusUGhqq9957z31/3759NX78eD3xxBPq3Lmzzp49q6FDhxZbT926dbVgwQJ98MEHat26taZOnaqXX37ZY57GjRtr8uTJGjt2rOrXr6/k5OQi11WS+gEAAACgKrC4qtmJu9nZ2apZs6bOnDmj8PBwj/suXLigX3/9VU2bNlVwcLBBFZZejx49FBcXp9TU1DItv2DBAo0ZM0anT5/2al1l5XQ6lZ2drfDwcFmt1e99pMr6dwjzcjgc+vzzz9W/f3/e3DKpy/UmAABQvVS/BAQAAAAAgEkR0gEAAAAAMAl/owtA+a1evbpcyycmJioxMdErtQAAAAAAyo5P0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGASfAVbCWVmZiorK8tn40VERCgqKspn45VUdHS0xowZozFjxhQ7T15enlq3bq2FCxeqW7duvivOBCwWiz755BMNHDiwyPt37typPn36aPfu3apRo4ZviwMAAABgeoT0EsjMzFSrVrGy23N8NqbNFqJduzJMGdSvZM6cOWratGmlDuj79+9X06ZNtXXrVsXFxXltva1bt1bXrl01ffp0jR8/3mvrBQAAAFA1ENJLICsrS3Z7juIfnKjwhtEVPl724f1aP2+ysrKyKl1Id7lcmjVrlp555plyryc/P1+BgYFeqsw8hg8frqSkJI0bN07+/uyCAAAAAP6Lc9JLIbxhtK6KalnhP2V5I6BHjx5KTk5WcnKyatasqYiICI0fP14ul8s9z6lTpzR06FDVrl1bISEhuuWWW7Rnzx6P9Xz00Uf605/+pKCgIEVHR+uVV14pVR2bN2/Wvn379Oc//9k9bf/+/bJYLFq6dKm6deum4OBgtWnTRt988417ntWrV8tiseiLL75Q586dVb9+fX333XdyOp2aMmWKmjZtKpvNpvbt2+vDDz8stNzKlSvVoUMH2Ww29ezZU8eOHdMXX3yh2NhYhYeHa8iQIcrJ+e+RECtWrND111+vWrVqqU6dOrr11lu1b98+9/1NmzaVJHXo0EEWi0U9evRw3zdv3jz3NmrYsKGSk5M9tkFWVpZuv/12hYSEKCYmRsuXL/e4v3fv3jp58qTH4wcAAAAAiZBepbzzzjvy9/fXhg0bNHPmTE2fPl1z585135+YmKhNmzZp+fLlSk9Pl8vlUv/+/eVwOCRdDNj33HOP7r33Xu3YsUOTJk3S+PHjtWDBghLX8O2336pFixYKCwsrdN/jjz+uRx99VFu3blVCQoIGDBigEydOeMwzduxYvfDCC1q/fr3atWunKVOmaOHChZozZ45++uknPfLII7r//vsLBdxJkyZp1qxZWrdunQ4cOKB77rlHqampWrx4sT777DN9+eWXeu2119zznz9/XikpKdq0aZPS0tJktVp1++23y+l0SpI2bNggSfrqq690+PBhffzxx5KkN954Q6NGjdKIESO0Y8cOLV++XM2bN/eoZfLkybrnnnv0ww8/qH///rrvvvt08uRJ9/2BgYGKi4vTt99+W+LtCgAAAKB64FjbKiQyMlIzZsyQxWJRy5YttWPHDs2YMUNJSUnas2ePli9frrVr17rPFV+0aJEiIyO1bNky3X333Zo+fbpuvvlm97nSLVq00M6dOzVt2jQlJiaWqIbffvtNjRo1KvK+5ORk3XnnnZIuht0VK1boH//4h5544gn3PM8884x69+6t7OxsBQUF6YUXXtBXX32lhIQESVKzZs303Xff6c0339SNN97oXu65557TddddJ0l66KGHNG7cOO3bt0/NmjWTJN111136+uuv9eSTT0qSu45L5s2bp7p162rnzp1q06aN6tatK0mqU6eOGjRo4DHOo48+qtGjR7unde7c2WNdiYmJGjx4sCTphRde0KuvvqoNGzaoX79+7nkaNWqk33777YrbEwAAAED1wifpVUjXrl1lsVjctxMSErRnzx4VFBQoIyND/v7+io+Pd99fp04dtWzZUhkZGZKkjIwMd9C95LrrrnOvoyTsdruCg4OLvO9S0JYkf39/derUyT32JZ06dXL/f+/evcrJyVHv3r0VGhrq/lm4cKHHoemS1K5dO/f/69evr5CQEHdAvzTt2LFj7tt79uzR4MGD1axZM4WHhys6OlrSxYsEFufYsWM6dOiQbr755stsAc9aatSoofDwcI+xJclms3kcfg8AAAAAkglC+uzZsxUdHa3g4GDFx8e7DzMuTmpqqlq2bCmbzabIyEg98sgjunDhgo+qxZVERETo1KlTZV7+919Ldu7cOUnSZ599pm3btrl/du7c6XFeuiQFBAS4/2+xWDxuX5p26VB2SRowYIBOnjypt99+W+vXr9f69eslXfz6uOLYbLYSPYYrjS1JJ0+edH9aDwAAAACXGBrS33vvPaWkpGjixInasmWL2rdvr759+xb61PGSxYsXa+zYsZo4caIyMjL0j3/8Q++9956eeuopH1duTpeC5iXff/+9YmJi5Ofnp9jYWOXn53vMc+LECe3evVutW7eWJMXGxmrt2rUe61i7dq1atGghPz+/EtXQoUMH7dq1y+OCdb+v55L8/Hxt3rxZsbGxxa6rdevWCgoKUmZmppo3b+7xExkZWaJ6inLpcT/99NO6+eabFRsbW+iNhUtXlf/9EQRhYWGKjo5WWlpamce+5Mcff1SHDh3KvR4AAAAAVYuh56RPnz5dSUlJGj58uKSL36/92Wefad68eRo7dmyh+detW6frrrtOQ4YMkSRFR0dr8ODBhcJpdZWZmamUlBQ9/PDD2rJli1577TX31dljYmJ02223KSkpSW+++abCwsI0duxYNW7cWLfddpsk6dFHH1Xnzp317LPPatCgQUpPT9esWbP0+uuvl7iGm266SefOndNPP/2kNm3aeNw3e/ZsxcTEKDY2VjNmzNCpU6f04IMPFruusLAwPfbYY3rkkUfkdDp1/fXX68yZM1q7dq3Cw8M1bNiwMmwlqXbt2qpTp47eeustNWzYUJmZmYX+3urVqyebzaYVK1aoSZMmCg4OVs2aNTVp0iT99a9/Vb169XTLLbfo7NmzWrt2rf72t7+VePz9+/fr4MGD6tWrV5nqBwAAAFB1GRbS8/LytHnzZo0bN849zWq1qlevXkpPTy9ymW7duumf//ynNmzYoC5duuiXX37R559/rgceeKDYcXJzc5Wbm+u+nZ2dLUlyOBzuq5pf4nA45HK55HQ6PQ5PvvT/7EP7pcIfEHtd9uH97nH/eJj05TzwwAPKyclRly5d5Ofnp7///e/6y1/+4l7HP/7xD40ZM0a33nqr8vLydMMNN+jTTz+Vn5+fnE6n4uLitHTpUk2aNEnPPvusGjZsqMmTJ2vo0KEedVzaRkWpXbu2Bg4cqH/+85964YUX3I9DungRtalTp2rbtm1q3ry5li1bpquuusrjcTqdTven8C6XS5MnT1ZERISmTJmiX375RbVq1VKHDh00bty4Qsv9/v+///fSun4/bfHixRozZozatGmjli1bKjU1VT179nSvx2q1KjU1Vc8995wmTJigG264Qf/5z3/c23jmzJl67LHHFBERoTvvvLPQ38sft8/vpy1evFi9e/dWZGRkkdvx0jZwOBwlPoIBuJxLz3V/fM6DefC7AQAAl1hcRR2X7AOHDh1S48aNtW7dOo8Lij3xxBP65ptviv10/NVXX9Vjjz0ml8ul/Px8/fWvf9Ubb7xR7DiTJk3S5MmTC01fvHixQkJCPKb5+/urQYMGioyMdB/uLEkHDhxQl/h4XbDbS/swyyzYZtOG9etLfFj3rbfeqrZt22rKlCkVXNmV/fjjj7rjjju0ZcsWhYaGKjMzU+3bt9eaNWvUtm1bo8szVF5enjp27Ki3335bXbt2LXaeAwcO6MiRI8rPz/dxhQCMkJOToyFDhujMmTMKDw83uhwAAGCgSvUVbKtXr9YLL7yg119/XfHx8dq7d69Gjx6tZ5991v21YX80btw4paSkuG9nZ2crMjJSffr0KfRC6MKFCzpw4IBCQ0M9rlD+pz/9SRk7dyorK6tiHlgRIiIiFBUVVeL5/f39FRgYaIoXd926ddPUqVN14sQJNWrUSKGhof9/e3cfF1Wd93/8PQMzMHhfk4qIoS3e/VRIScKuyHYtXa/1ymrTtFKpdK+Uop1cy1bBm8usLMPS9GFe2p133a3bra5LKZuSmia6hZqWi2mgSEnByIzM/P7wcopAFxBmDszr+Xj4eHC+c77n+zlwzuMxb8853yPpp5nO/x2v16sffvhBLVq0qDRbfVNw8OBBPfroo7rxxhvPu87p06dls9mUnJx83pnym7JvvvlGCQlXyels2rPf22wR+vTTHerYsWODj+V2u7Vx40bdcMMNVSY2hDGcu8sLAAAgYCHdbrcrJCREhYWFldoLCwsrvZf656ZPn6677rpL9957rySpd+/eKi0t1YQJE/TnP/9ZZnPVefDCwsIUFhZWpd1isVT5slpRUSGTySSz2VxlWzExMb7XdBnVudqN4OfPmp+rqbrfa3XO3QJupP2pL127dlXXrl0vuI7ZbPbNUB+Mgeq7775TcfFJJd6doZaRMYEup0GUfHtY25bP1HfffafOnTv7bdxgPaYaA/4uAADgnICFdKvVqn79+ikrK0vDhw+XdDacZWVlKTU1tdo+ZWVlVULbuWd2A3TXvmFs2rQp0CWcV0xMTND/fVB7LSNjdEmnboEuAwAAAPCrgN7u7nA4NHbsWCUkJKh///7KzMxUaWmpb7b3MWPGKCoqyvec9bBhlIm8QAAALC5JREFUwzR//nxdeeWVvtvdp0+frmHDhjHBFgAAAACg0QtoSB85cqROnDih9PR0FRQUKD4+XuvXr1e7du0knX2l2M+vnE+bNk0mk0nTpk3T0aNHddlll2nYsGGaM2dOoHYBAAAAAIB6E/CJ41JTU897e/svb+EODQ1VRkaGMjIy/FAZAAAAAAD+1bRm5QIAAAAAoBEjpAMAAAAAYBCEdAAAAAAADCLgz6Q3Fvn5+SoqKvLbeHa7XZ06dfLbeDURExOjBx98UA8++GCgSwEAAACAJomQXgP5+fnq0b2bypyn/TZmhC1cefv2Gy6oAwAAAAAaDiG9BoqKilTmPK1XJ8SrR2TzBh8v79sfdefS3SoqKiKkAwAAAEAQIaTXQo/I5uob0yrQZVRr4MCB6tWrlyTplVdekcVi0X333adZs2bJZDLpu+++U1pamt555x2Vl5fruuuu07PPPqvY2FjfNt58802lp6fr4MGDioyM1P3336+HHnooULsEAAAAAEGHieOakJdeekmhoaHavn27FixYoPnz52vZsmWSpHHjxunTTz/V22+/rZycHHm9Xg0dOlRut1uStHPnTo0YMUK333679u7dqxkzZmj69Ol68cUXA7hHAAAAABBcuJLehERHR+uZZ56RyWRSt27dtHfvXj3zzDMaOHCg3n77bW3ZskUDBgyQJK1cuVLR0dFat26dbrvtNs2fP1+/+c1vNH36dElS165d9cUXX2jevHkaN25cAPcKAAAAAIIHV9KbkKuvvlomk8m3nJSUpC+//FJffPGFQkNDlZiY6Pvs0ksvVbdu3ZSXlydJysvL0zXXXFNpe9dcc42+/PJLVVRU+GcHAAAAACDIEdIBAAAAADAIQnoTsm3btkrLn3zyiWJjY9WzZ0+dOXOm0ucnT57U/v371bNnT0lSjx49tGXLlkr9t2zZoq5duyokJKThiwcAAAAAENKbkvz8fDkcDu3fv1+rV6/Wc889p7S0NMXGxuqmm27S+PHj9fHHHys3N1d33nmnoqKidNNNN0mSHnroIWVlZWn27Nk6cOCAXnrpJS1cuFCTJ08O8F4BAAAAQPBg4rhayPv2R0OPM2bMGDmdTvXv318hISFKS0vThAkTJEkrVqxQWlqafve738nlcik5OVnvv/++LBaLJKlv37567bXXlJ6ertmzZysyMlKzZs1i0jgAAAAA8CNCeg3Y7XZF2MJ159LdfhszwhYuu91eqz4Wi0WZmZlavHhxlc/atGmjl19++YL9b731Vt16663n/fzw4cO1qgcAAAAAUDuE9Bro1KmT8vbtV1FRkd/GtNvt6tSpk9/GAwAAAAAEHiG9hjp16kRoBgAAAAA0KEJ6E7Fp06ZAlwAAAAAAuEjM7g4AAAAAgEEQ0gEAAAAAMAhCOgAAAAAABkFIBwAAAADAIAjpAAAAAAAYBCEdAAAAAACD4BVsNZSfn6+ioiK/jWe323kvOwAAAAAEGUJ6DeTn56t7j+5yljn9NqYtwqZ9eftqHNQHDhyo+Ph4ZWZmNmxhNWS0egAAAACgMSCk10BRUZGcZU4lT0lWq+hWDT7eqSOnlP1ktoqKivx6Nd3lcslqtfptPAAAAABAZTyTXgutolvJHmtv8H+1/Y+AcePGafPmzVqwYIFMJpNMJpMOHTqke+65R507d5bNZlO3bt20YMGCKv2GDx+uOXPmqEOHDurWrZskaevWrYqPj1d4eLgSEhK0bt06mUwm7d6929f3n//8p37729+qefPmateune666y7f4wDV1XP48OGL+t0DAAAAQDDgSnoTsGDBAh04cEC9evXSrFmzJElt2rRRx44d9frrr+vSSy/V1q1bNWHCBEVGRmrEiBG+vllZWWrZsqU2btwoSSopKdGwYcM0dOhQrVq1Sv/617/04IMPVhrv+++/169//Wvde++9euaZZ+R0OvXwww9rxIgR+vDDD6ut57LLLvPPLwMAAAAAGjFCehPQqlUrWa1WRUREqH379r72mTNn+n7u3LmzcnJy9Nprr1UK6c2aNdOyZct8t7kvWbJEJpNJL7zwgsLDw9WzZ08dPXpU48eP9/VZuHChrrzySj322GO+tuXLlys6OloHDhxQ165dq60HAAAAAHBhhPQmbNGiRVq+fLny8/PldDrlcrkUHx9faZ3evXtXeg59//796tOnj8LDw31t/fv3r9QnNzdXH330kZo3b15lzEOHDqlr1671uyMAAAAAECQI6U3UmjVrNHnyZD399NNKSkpSixYtNG/ePG3btq3Ses2aNav1tn/88UcNGzZMTzzxRJXPIiMj61wzAAAAAAQ7QnoTYbVaVVFR4VvesmWLBgwYoIkTJ/raDh069G+3061bN7366qsqLy9XWFiYJGnHjh2V1unbt6/efPNNxcTEKDS0+kPol/UAAAAAAP49ZndvImJiYrRt2zYdPnxYRUVFio2N1aeffqoNGzbowIEDmj59epWwXZ3Ro0fL4/FowoQJysvL04YNG/TUU09JkkwmkyRp0qRJKi4u1qhRo7Rjxw4dOnRIGzZsUEpKii+Y/7Iej8fTcDsPAAAAAE0EV9Jr4dSRU4YdZ/LkyRo7dqx69uwpp9Opffv26bPPPtPIkSNlMpk0atQoTZw4UR988MEFt9OyZUu98847uu+++xQfH6/evXsrPT1do0eP9j2n3qFDB23ZskUPP/ywbrzxRpWXl+vyyy/XkCFDZDabq63n66+/VkxMTK33CwAAAACCCSG9Bux2u2wRNmU/me23MW0RNtnt9hqv37VrV+Xk5FRqW7FihVasWFGpbe7cub6fX3zxxWq3NWDAAOXm5vqWV65cKYvFok6dOvnaYmNj9dZbb9WqHgAAAADAhRHSa6BTp07al7dPRUVFfhvTbrdXCsX+9PLLL6tLly6KiopSbm6u7x3oNpstIPUAAAAAQLAgpNdQp06dAhaa/a2goEDp6ekqKChQZGSkbrvtNs2ZMyfQZQEAAABAk0dIRxVTpkzRlClTAl0GAAAAAAQdZncHAAAAAMAgCOnV8Hq9gS4BQYzjDwAAAAhehPSfsVgskqSysrIAV4Jgdu74O3c8AgAAAAgePJP+MyEhIWrdurWOHz8uSYqIiJDJZApwVcHH4/HI5XLp9OnTvveuBwOv16uysjIdP35crVu3VkhISKBLAgAAAOBnhPRfaN++vST5gjr8z+v1yul0ymazBeV/krRu3dp3HAIAAAAILoT0XzCZTIqMjFTbtm3ldrsDXU5Qcrvdys7OVnJyctDd8m2xWLiCDgAAAAQxQvp5hISEEJYCJCQkRGfOnFF4eHjQhXQAAAAAwS14HvgFAAAAAMDgCOkAAAAAABgEIR0AAAAAAIMgpAMAAAAAYBCEdAAAAAAADIKQDgAAAACAQRDSAQAAAAAwiICH9EWLFikmJkbh4eFKTEzU9u3bL7j+999/r0mTJikyMlJhYWHq2rWr3n//fT9VCwAAAABAwwkN5OBr166Vw+HQkiVLlJiYqMzMTA0ePFj79+9X27Ztq6zvcrl0ww03qG3btnrjjTcUFRWlf/3rX2rdurX/iwcAAAAAoJ4FNKTPnz9f48ePV0pKiiRpyZIleu+997R8+XI98sgjVdZfvny5iouLtXXrVlksFklSTEyMP0sGAAAAAKDBBCyku1wu7dy5U1OnTvW1mc1mDRo0SDk5OdX2efvtt5WUlKRJkybpr3/9qy677DKNHj1aDz/8sEJCQqrtU15ervLyct9ySUmJJMntdsvtdtfjHqG+nPu78PcJTh6PRzabTRazFGryBLqcBmExSzabTR6Pxy/HOeeU8fG3AQAA5wQspBcVFamiokLt2rWr1N6uXTvt27ev2j5fffWVPvzwQ91xxx16//33dfDgQU2cOFFut1sZGRnV9pk7d65mzpxZpf1vf/ubIiIiLn5H0GA2btwY6BIQIKtXr/6/n4oCWkeDadtGE1av1tGjR3X06FG/Dcs5ZVxlZWWBLgEAABhEQG93ry2Px6O2bdtq6dKlCgkJUb9+/XT06FHNmzfvvCF96tSpcjgcvuWSkhJFR0frxhtvVMuWLf1VOmrB7XZr48aNuuGGG3yPNSB45ObmKjk5WddPfl5tomMDXU6D+O7Il/roqYnKzs5WXFxcg4/HOWV85+7yAgAACFhIt9vtCgkJUWFhYaX2wsJCtW/fvto+kZGRslgslW5t79GjhwoKCuRyuWS1Wqv0CQsLU1hYWJV2i8XCl1WD428UnMxms5xOp9we6Yw34C+gaBBuj+R0OmU2m/16jHNOGRd/FwAAcE7AvgFbrVb169dPWVlZvjaPx6OsrCwlJSVV2+eaa67RwYMH5fH89JzqgQMHFBkZWW1ABwAAAACgMQnoZSqHw6EXXnhBL730kvLy8nTfffeptLTUN9v7mDFjKk0sd99996m4uFhpaWk6cOCA3nvvPT322GOaNGlSoHYBAAAAAIB6E9Bn0keOHKkTJ04oPT1dBQUFio+P1/r1632TyeXn58ts/un/EaKjo7Vhwwb98Y9/VJ8+fRQVFaW0tDQ9/PDDgdoFAAAAAADqTcAnjktNTVVqamq1n23atKlKW1JSkj755JMGrgoAAAAAAP9rmrMyAQAAAADQCNUppH/00Uf1XQcAAAAAAEGvTiF9yJAhuuKKK/Q///M/OnLkSH3XBAAAAABAUKpTSD969KhSU1P1xhtvqEuXLho8eLBee+01uVyu+q4PAAAAAICgUaeQbrfb9cc//lG7d+/Wtm3b1LVrV02cOFEdOnTQAw88oNzc3PquEwAAAACAJu+iJ47r27evpk6dqtTUVP34449avny5+vXrp2uvvVaff/55fdQIAAAAAEBQqHNId7vdeuONNzR06FBdfvnl2rBhgxYuXKjCwkIdPHhQl19+uW677bb6rBUAAAAAgCatTu9Jv//++7V69Wp5vV7dddddevLJJ9WrVy/f582aNdNTTz2lDh061FuhAAAAAAA0dXUK6V988YWee+453XLLLQoLC6t2HbvdzqvaAAAAAACohTrd7p6RkaHbbrutSkA/c+aMsrOzJUmhoaG67rrrLr5CAAAAAACCRJ1C+vXXX6/i4uIq7adOndL1119/0UUBAAAAABCM6hTSvV6vTCZTlfaTJ0+qWbNmF10UAAAAAADBqFbPpN9yyy2SJJPJpHHjxlW63b2iokJ79uzRgAED6rdCAAAAAACCRK1CeqtWrSSdvZLeokUL2Ww232dWq1VXX321xo8fX78VAgAAAAAQJGoV0lesWCFJiomJ0eTJk7m1HQAAAACAelSnV7BlZGTUdx0AAAAAAAS9Gof0vn37KisrS23atNGVV15Z7cRx5+zatateigMAAAAAIJjUOKTfdNNNvonihg8f3lD1AAAAAAAQtGoc0n9+izu3uwMAAAAAUP/q9J50AAAAAABQ/2p8Jb1NmzYXfA7954qLi+tcEAAAAAAAwarGIT0zM7MBywAAAAAAADUO6WPHjm3IOmBg+fn5Kioq8tt4Ho9HkpSbmyuz2T9PZJSXl/smRmyq7Ha7OnXqFOgyAAAAAFxAjUN6SUmJWrZs6fv5Qs6th8YvPz9fPbp3U5nztN/GtNlsWr16tZKTk+V0Ov0yptkkebx+GSpgbBE27cvbR1AHAAAADKxWz6R/++23atu2rVq3bl3t8+ler1cmk0kVFRX1WiQCp6ioSGXO03p1Qrx6RDb3y5ges1VHJWU/kiSzx9Xg4+366oTGv7JfV465Uh2v6tjg4wXCqSOnlP1ktoqKigjpAAAAgIHVOKR/+OGHuuSSSyRJH330UYMVBGPqEdlcfWNa+WUstyw6KimuU0tZ5G7w8UrLSiVJzds3lz3W3uDjAQAAAMD51DikX3fdddX+DACom7y8PL+ME4h5HiTmegAAAKiLGof0X/ruu+/0v//7v74vmT179lRKSorvajsAoHru8rOPcdx5551+GS8Q8zxIzPUAAABQF3UK6dnZ2Ro2bJhatWqlhIQESdKzzz6rWbNm6Z133lFycnK9FgkATcmZM2ckSbNv6aqhvds2+Hj+nudBYq4HAACAuqpTSJ80aZJGjhypxYsXKyQkRJJUUVGhiRMnatKkSdq7d2+9FgkATVFne4Rf5nrw9zwPEnM9AAAA1FWdHk48ePCgHnroIV9Al6SQkBA5HA4dPHiw3ooDAAAAACCY1Cmk9+3bt9oJj/Ly8hQXF3fRRQEAAAAAEIxqfLv7nj17fD8/8MADSktL08GDB3X11VdLkj755BMtWrRIjz/+eP1XCQAAAABAEKhxSI+Pj5fJZJLX+9NUvVOmTKmy3ujRozVy5Mj6qQ4AAAAAgCBS45D+9ddfN2QdAAAAAAAEvRqH9Msvv7wh6wAAAAAAIOjV6RVs53zxxRfKz8+Xy1X5vbv/9V//dVFFAQAAAAAQjOoU0r/66ivdfPPN2rt3b6Xn1E0mk6Sz70wHAAAAAAC1U6dXsKWlpalz5846fvy4IiIi9Pnnnys7O1sJCQnatGlTPZcIAAAAAEBwqNOV9JycHH344Yey2+0ym80ym836j//4D82dO1cPPPCAPvvss/quEwAAAACAJq9OV9IrKirUokULSZLdbtexY8cknZ1cbv/+/fVXHQAAAAAAQaROV9J79eql3Nxcde7cWYmJiXryySdltVq1dOlSdenSpb5rBAAAAAAgKNQppE+bNk2lpaWSpFmzZul3v/udrr32Wl166aVau3ZtvRYIAAAAAECwqFNIHzx4sO/nX/3qV9q3b5+Ki4vVpk0b3wzvAAAAAACgdi7qPemSdOTIEUlSdHT0RRcDAAAAAEAwq9PEcWfOnNH06dPVqlUrxcTEKCYmRq1atdK0adPkdrvru0YAAAAAAIJCna6k33///Xrrrbf05JNPKikpSdLZ17LNmDFDJ0+e1OLFi+u1SAAAAAAAgkGdQvqqVau0Zs0a/fa3v/W19enTR9HR0Ro1ahQhHQAAAACAOqjT7e5hYWGKiYmp0t65c2dZrdaLrQkAAAAAgKBUp5Cempqq2bNnq7y83NdWXl6uOXPmKDU1td6KAwAAAAAgmNT4dvdbbrml0vLf//53dezYUXFxcZKk3NxcuVwu/eY3v6nfCgEAAAAACBI1DumtWrWqtHzrrbdWWuYVbAAAAAAAXJwah/QVK1Y0ZB0AAAAAAAS9Oj2Tfs6JEyf08ccf6+OPP9aJEyfqvJ1FixYpJiZG4eHhSkxM1Pbt22vUb82aNTKZTBo+fHidxwYAAAAAwCjqFNJLS0t19913KzIyUsnJyUpOTlaHDh10zz33qKysrFbbWrt2rRwOhzIyMrRr1y7FxcVp8ODBOn78+AX7HT58WJMnT9a1115bl10AAAAAAMBw6hTSHQ6HNm/erHfeeUfff/+9vv/+e/31r3/V5s2b9dBDD9VqW/Pnz9f48eOVkpKinj17asmSJYqIiNDy5cvP26eiokJ33HGHZs6cqS5dutRlFwAAAAAAMJwaP5P+c2+++abeeOMNDRw40Nc2dOhQ2Ww2jRgxQosXL67Rdlwul3bu3KmpU6f62sxmswYNGqScnJzz9ps1a5batm2re+65R//4xz8uOEZ5eXmlV8WVlJRIktxut9xud43qDGYej0c2m00es1VuWfwy5rlx/DWeN8Qqm80ma4hVod46nRKGZzFZzv4dPR7DH/fnjjmLWQo1eQJdToOwhphks9mk0DC/HOf+PqckzqvaMvp5CQAA/Mfk9Xq9te0UERGhnTt3qkePHpXaP//8c/Xv31+lpaU12s6xY8cUFRWlrVu3Kikpydc+ZcoUbd68Wdu2bavS5+OPP9btt9+u3bt3y263a9y4cfr++++1bt26aseYMWOGZs6cWaV91apVioiIqFGdAAA0pLKyMo0ePVqnTp1Sy5YtA10OAAAIoDpd3khKSlJGRoZefvllhYeHS5KcTqdmzpxZKWzXtx9++EF33XWXXnjhBdnt9hr1mTp1qhwOh2+5pKRE0dHRuvHGG/kiVAO5ublKTk5W9iNJiuvkn9+XWxZtbHOHbvhupSxq+KtLOfu/1ZAFezTgwQHqktw0H584eeikPvjTB8rOzlZcXFygy7mgc8fc9ZOfV5vo2ECX0yC+3b9HOc8/pBdS+mjEVZENPp6/zymJ86q2zt3lBQAAUKeQnpmZqSFDhqhjx46+Lya5ubkKDw/Xhg0barwdu92ukJAQFRYWVmovLCxU+/btq6x/6NAhHT58WMOGDfO1eTxnb4cNDQ3V/v37dcUVV1TqExYWprCwsCrbslgsslj8d+tnY2U2m+V0OmX2uPz25f4ci9x+GdNU4ZLT6ZSrwqUzpjMNPl4guL3us39Hs9nwx/25Y87tkc54L+oFFIblqvDK6XRKZ8r9el7565ySOK9qy+jnJQAA8J86hfTevXvryy+/1MqVK7Vv3z5J0qhRo3THHXecfc6yhqxWq/r166esrCzfa9Q8Ho+ysrKUmppaZf3u3btr7969ldqmTZumH374QQsWLFB0dHRddgcAAAAAAEOodUh3u93q3r273n33XY0fP/6iC3A4HBo7dqwSEhLUv39/ZWZmqrS0VCkpKZKkMWPGKCoqSnPnzlV4eLh69epVqX/r1q0lqUo7AAAAAACNTa1DusVi0enTp+utgJEjR+rEiRNKT09XQUGB4uPjtX79erVr106SlJ+fL7O5ad7yCgAAAADAz9XpdvdJkybpiSee0LJlyxQaevGv1klNTa329nZJ2rRp0wX7vvjiixc9PgAAAAAARlCnhL1jxw5lZWXpb3/7m3r37q1mzZpV+vytt96ql+IAAAAAAAgmdQrprVu31q233lrftQAAAAAAENRqFdI9Ho/mzZunAwcOyOVy6de//rVmzJhRqxndAQAAAABA9Wo1I9ucOXP06KOPqnnz5oqKitKzzz6rSZMmNVRtAAAAAAAElVqF9JdfflnPP/+8NmzYoHXr1umdd97RypUr5fF4Gqo+AAAAAACCRq1Cen5+voYOHepbHjRokEwmk44dO1bvhQEAAAAAEGxqFdLPnDmj8PDwSm0Wi0Vut7teiwIAAAAAIBjVauI4r9ercePGKSwszNd2+vRp/fd//3el17DxCjYAAAAAAGqvViF97NixVdruvPPOeisGAAAAAIBgVquQvmLFioaqAwAAAACAoFerZ9IBAAAAAEDDIaQDAAAAAGAQhHQAAAAAAAyCkA4AAAAAgEEQ0gEAAAAAMAhCOgAAAAAABkFIBwAAAADAIAjpAAAAAAAYBCEdAAAAAACDIKQDAAAAAGAQhHQAAAAAAAyCkA4AAAAAgEEQ0gEAAAAAMAhCOgAAAAAABkFIBwAAAADAIAjpAAAAAAAYBCEdAAAAAACDIKQDAAAAAGAQhHQAAAAAAAyCkA4AAAAAgEEQ0gEAAAAAMAhCOgAAAAAABkFIBwAAAADAIAjpAAAAAAAYBCEdAAAAAACDIKQDAAAAAGAQhHQAAAAAAAyCkA4AAAAAgEEQ0gEAAAAAMAhCOgAAAAAABkFIBwAAAADAIAjpAAAAAAAYBCEdAAAAAACDIKQDAAAAAGAQhHQAAAAAAAyCkA4AAAAAgEEQ0gEAAAAAMAhCOgAAAAAABkFIBwAAAADAIAjpAAAAAAAYBCEdAAAAAACDIKQDAAAAAGAQhHQAAAAAAAzCECF90aJFiomJUXh4uBITE7V9+/bzrvvCCy/o2muvVZs2bdSmTRsNGjTogusDAAAAANBYBDykr127Vg6HQxkZGdq1a5fi4uI0ePBgHT9+vNr1N23apFGjRumjjz5STk6OoqOjdeONN+ro0aN+rhwAAAAAgPoVGugC5s+fr/HjxyslJUWStGTJEr333ntavny5HnnkkSrrr1y5stLysmXL9OabbyorK0tjxozxS80/l5+fr6KiIr+P6y95eXmBLgEAAAAAgkZAQ7rL5dLOnTs1depUX5vZbNagQYOUk5NTo22UlZXJ7Xbrkksuqfbz8vJylZeX+5ZLSkokSW63W263+yKql7755hslJFwlp7PsorZjdDZbhI796FFvWfwynvv/xnH7aTxviFU2m03WEKtCvQH/f6sGYTFZZLPZ5PF4Lvq4b2gej0c2m00WsxRq8gS6nAZhDTHJZrNJoWF+Oc79fU5JnFe1ZfTzEgAA+I/J6/V6AzX4sWPHFBUVpa1btyopKcnXPmXKFG3evFnbtm37t9uYOHGiNmzYoM8//1zh4eFVPp8xY4ZmzpxZpX3VqlWKiIi4uB0AAKAelJWVafTo0Tp16pRatmwZ6HIAAEAANerLG48//rjWrFmjTZs2VRvQJWnq1KlyOBy+5ZKSEt9z7Bf7RSg3N1fJycm6fvLzahMde1HbMqpv9+9RzvMP6YWUPhpxVaRfxnTLoo1t7tAN362URQ1/dSln/7casmCPBjw4QF2SuzT4eIFw8tBJffCnD5Sdna24uLhAl3NBnFf1z9/nlMR5VVvn7vICAAAIaEi32+0KCQlRYWFhpfbCwkK1b9/+gn2feuopPf744/r73/+uPn36nHe9sLAwhYWFVWm3WCyyWC7u1k+z2Syn0ym3RzrjDfgcfA3CVeGV0+mUzpT77cv9ORa5/TKmqcIlp9MpV4VLZ0xnGny8QHB73XI6nTKbzRd93Dc0zquG469zSuK8qi2jn5cAAMB/AvoN2Gq1ql+/fsrKyvK1eTweZWVlVbr9/ZeefPJJzZ49W+vXr1dCQoI/SgUAAAAAoMEF/HZ3h8OhsWPHKiEhQf3791dmZqZKS0t9s72PGTNGUVFRmjt3riTpiSeeUHp6ulatWqWYmBgVFBRIkpo3b67mzZsHbD8AAAAAALhYAQ/pI0eO1IkTJ5Senq6CggLFx8dr/fr1ateunaSzrzgzm3+64L948WK5XC79/ve/r7SdjIwMzZgxw5+lAwAAAABQrwIe0iUpNTVVqamp1X62adOmSsuHDx9u+IIAAAAAAAiApjkrEwAAAAAAjRAhHQAAAAAAgyCkAwAAAABgEIR0AAAAAAAMgpAOAAAAAIBBENIBAAAAADAIQjoAAAAAAAZBSAcAAAAAwCAI6QAAAAAAGAQhHQAAAAAAgyCkAwAAAABgEIR0AAAAAAAMgpAOAAAAAIBBENIBAAAAADAIQjoAAAAAAAZBSAcAAAAAwCAI6QAAAAAAGAQhHQAAAAAAgyCkAwAAAABgEIR0AAAAAAAMgpAOAAAAAIBBENIBAAAAADAIQjoAAAAAAAZBSAcAAAAAwCAI6QAAAAAAGAQhHQAAAAAAgyCkAwAAAABgEIR0AAAAAAAMgpAOAAAAAIBBENIBAAAAADAIQjoAAAAAAAZBSAcAAAAAwCAI6QAAAAAAGAQhHQAAAAAAgyCkAwAAAABgEIR0AAAAAAAMgpAOAAAAAIBBENIBAAAAADAIQjoAAAAAAAZBSAcAAAAAwCAI6QAAAAAAGAQhHQAAAAAAgyCkAwAAAABgEIR0AAAAAAAMgpAOAAAAAIBBENIBAAAAADAIQjoAAAAAAAZBSAcAAAAAwCAI6QAAAAAAGAQhHQAAAAAAgyCkAwAAAABgEIR0AAAAAAAMgpAOAAAAAIBBENIBAAAAADAIQ4T0RYsWKSYmRuHh4UpMTNT27dsvuP7rr7+u7t27Kzw8XL1799b777/vp0oBAAAAAGg4AQ/pa9eulcPhUEZGhnbt2qW4uDgNHjxYx48fr3b9rVu3atSoUbrnnnv02Wefafjw4Ro+fLj++c9/+rlyAAAAAADqV8BD+vz58zV+/HilpKSoZ8+eWrJkiSIiIrR8+fJq11+wYIGGDBmiP/3pT+rRo4dmz56tvn37auHChX6uHAAAAACA+hUayMFdLpd27typqVOn+trMZrMGDRqknJycavvk5OTI4XBUahs8eLDWrVtX7frl5eUqLy/3LZ86dUqSVFxcLLfbfVH1l5SUKDw8XD8ePSC5nRe1LaNyFnyl8PBw7S9yadOBH/wypsdsVdn/K9M/Dv4os8fV4OP985hL4eHhKjtWpqK9RQ0+XiD88O0PCg8PV0lJiU6ePBnoci6I86r++fuckjivar2tH84eB16vtz5KAwAAjZjJG8BvBMeOHVNUVJS2bt2qpKQkX/uUKVO0efNmbdu2rUofq9Wql156SaNGjfK1Pf/885o5c6YKCwurrD9jxgzNnDmzYXYAAIB6dOTIEXXs2DHQZQAAgAAK6JV0f5g6dWqlK+8ej0fFxcW69NJLZTKZAlgZzqekpETR0dE6cuSIWrZsGehygEaPc8r4vF6vfvjhB3Xo0CHQpQAAgAALaEi32+0KCQmpcgW8sLBQ7du3r7ZP+/bta7V+WFiYwsLCKrW1bt267kXDb1q2bEmgAOoR55SxtWrVKtAlAAAAAwjoxHFWq1X9+vVTVlaWr83j8SgrK6vS7e8/l5SUVGl9Sdq4ceN51wcAAAAAoLEI+O3uDodDY8eOVUJCgvr376/MzEyVlpYqJSVFkjRmzBhFRUVp7ty5kqS0tDRdd911evrpp/Wf//mfWrNmjT799FMtXbo0kLsBAAAAAMBFC3hIHzlypE6cOKH09HQVFBQoPj5e69evV7t27SRJ+fn5Mpt/uuA/YMAArVq1StOmTdOjjz6q2NhYrVu3Tr169QrULqCehYWFKSMjo8pjCgDqhnMKAACg8Qjo7O4AAAAAAOAnAX0mHQAAAAAA/ISQDgAAAACAQRDSAQAAAAAwCEI6AAAAAAAGQUiHoSxatEgxMTEKDw9XYmKitm/fHuiSgEYtOztbw4YNU4cOHWQymbRu3bpAlwQAAIALIKTDMNauXSuHw6GMjAzt2rVLcXFxGjx4sI4fPx7o0oBGq7S0VHFxcVq0aFGgSwEAAEAN8Ao2GEZiYqKuuuoqLVy4UJLk8XgUHR2t+++/X4888kiAqwMaP5PJpL/85S8aPnx4oEsBAADAeXAlHYbgcrm0c+dODRo0yNdmNps1aNAg5eTkBLAyAAAAAPAfQjoMoaioSBUVFWrXrl2l9nbt2qmgoCBAVQEAAACAfxHSAQAAAAAwCEI6DMFutyskJESFhYWV2gsLC9W+ffsAVQUAAAAA/kVIhyFYrVb169dPWVlZvjaPx6OsrCwlJSUFsDIAAAAA8J/QQBcAnONwODR27FglJCSof//+yszMVGlpqVJSUgJdGtBo/fjjjzp48KBv+euvv9bu3bt1ySWXqFOnTgGsDAAAANXhFWwwlIULF2revHkqKChQfHy8nn32WSUmJga6LKDR2rRpk66//voq7WPHjtWLL77o/4IAAABwQYR0AAAAAAAMgmfSAQAAAAAwCEI6AAAAAAAGQUgHAAAAAMAgCOkAAAAAABgEIR0AAAAAAIMgpAMAAAAAYBCEdAAAAAAADIKQDjQhAwcO1IMPPnjez2NiYpSZmem3egAAAADUDiEdCCI7duzQhAkTAl3Gv/XWW28pISFBrVu3VrNmzRQfH69XXnkl0GUBAAAADS400AUA8J/LLruswcdwuVyyWq0XtY1LLrlEf/7zn9W9e3dZrVa9++67SklJUdu2bTV48OB6qhQAAAAwHq6kA03MmTNnlJqaqlatWslut2v69Onyer2Sqt7ubjKZtGzZMt18882KiIhQbGys3n77bd/nFRUVuueee9S5c2fZbDZ169ZNCxYsqDTeuHHjNHz4cM2ZM0cdOnRQt27dNGvWLPXq1atKbfHx8Zo+ffq/3YeBAwfq5ptvVo8ePXTFFVcoLS1Nffr00ccff1zH3woAAADQOBDSgSbmpZdeUmhoqLZv364FCxZo/vz5WrZs2XnXnzlzpkaMGKE9e/Zo6NChuuOOO1RcXCxJ8ng86tixo15//XV98cUXSk9P16OPPqrXXnut0jaysrK0f/9+bdy4Ue+++67uvvtu5eXlaceOHb51PvvsM+3Zs0cpKSm12h+v1+vbfnJycq36AgAAAI0Nt7sDTUx0dLSeeeYZmUwmdevWTXv37tUzzzyj8ePHV7v+uHHjNGrUKEnSY489pmeffVbbt2/XkCFDZLFYNHPmTN+6nTt3Vk5Ojl577TWNGDHC196sWTMtW7as0m3ugwcP1ooVK3TVVVdJklasWKHrrrtOXbp0qdF+nDp1SlFRUSovL1dISIief/553XDDDbX+fQAAAACNCVfSgSbm6quvlslk8i0nJSXpyy+/VEVFRbXr9+nTx/dzs2bN1LJlSx0/ftzXtmjRIvXr10+XXXaZmjdvrqVLlyo/P7/SNnr37l3lOfTx48dr9erVOn36tFwul1atWqW77767xvvRokUL7d69Wzt27NCcOXPkcDi0adOmGvcHAAAAGiOupANBzmKxVFo2mUzyeDySpDVr1mjy5Ml6+umnlZSUpBYtWmjevHnatm1bpT7NmjWrst1hw4YpLCxMf/nLX2S1WuV2u/X73/++xnWZzWb96le/knT2Wfa8vDzNnTtXAwcOrOUeAgAAAI0HIR1oYn4ZoD/55BPFxsYqJCSk1tvasmWLBgwYoIkTJ/raDh06VKO+oaGhGjt2rFasWCGr1arbb79dNput1jWc4/F4VF5eXuf+AAAAQGNASAeamPz8fDkcDv3hD3/Qrl279Nxzz+npp5+u07ZiY2P18ssva8OGDercubNeeeUV7dixQ507d65R/3vvvVc9evSQdDbw19TcuXOVkJCgK664QuXl5Xr//ff1yiuvaPHixXXaDwAAAKCxIKQDTcyYMWPkdDrVv39/hYSEKC0tTRMmTKjTtv7whz/os88+08iRI2UymTRq1ChNnDhRH3zwQY36x8bGasCAASouLlZiYmKNxy0tLdXEiRP1zTffyGazqXv37nr11Vc1cuTIOu0HAAAA0FiYvOdeoAwA9czr9So2NlYTJ06Uw+EIdDkAAACA4XElHUCDOHHihNasWaOCgoJavxsdAAAACFaEdAANom3btrLb7Vq6dKnatGlT6bPmzZuft98HH3yga6+9tqHLAwAAAAyJ290B+N3BgwfP+1lUVNRFzQIPAAAANGaEdAAAAAAADMIc6AIAAAAAAMBZhHQAAAAAAAyCkA4AAAAAgEEQ0gEAAAAAMAhCOgAAAAAABkFIBwAAAADAIAjpAAAAAAAYBCEdAAAAAACD+P8DJvov1aDNOgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x1800 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "match = matcher_beta.get_best_match()\n",
    "m_data = m.copy().get_population('pool')\n",
    "m_data.loc[:, 'population'] = m_data['population'] + ' (prematch)'\n",
    "match.append(m_data)\n",
    "fig = plot_per_feature_loss(match, beta, 'target', debin=False)\n",
    "fig = plot_numeric_features(match, hue_order=['pool (prematch)', 'pool', 'target', ])\n",
    "fig = plot_categoric_features(match,  hue_order=['pool (prematch)', 'pool', 'target'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "006f4021-ce9d-4f28-81c0-8ba424a948dd",
   "metadata": {},
   "source": [
    "## Optimize Beta^2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b2458050-5934-422c-bb2e-de141f4a2975",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO [matcher.py:125] cpu\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'objective': 'beta_squared',\n",
       " 'candidate_population_size': 1000,\n",
       " 'n_candidate_populations': 1024,\n",
       " 'n_keep_best': 256,\n",
       " 'n_voting_populations': 256,\n",
       " 'n_mutation': 256,\n",
       " 'n_generations': 5000,\n",
       " 'n_iter_no_change': 100,\n",
       " 'time_limit': 300,\n",
       " 'max_batch_size_gb': 2,\n",
       " 'seed': 1234,\n",
       " 'verbose': True,\n",
       " 'log_every': 1000,\n",
       " 'initialization': {'benchmarks': {'propensity': 'include'},\n",
       "  'sampling': {'propensity': 1.0, 'uniform': 1.0}}}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "objective = beta2 = BetaSquaredBalance(m)\n",
    "matcher = matcher_beta2 = GeneticMatcher(\n",
    "    matching_data = m, \n",
    "    objective = objective,\n",
    "    log_every = 1000,\n",
    "    n_generations = 5000,\n",
    "    time_limit = time_limit\n",
    ")\n",
    "matcher.get_params()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "38b705c8-9aa0-4332-970a-efad5189276f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO [initialization.py:31] Optimizing balance with genetic algorithm ...\n",
      "INFO [initialization.py:32] Initial balance scores:\n",
      "INFO [initialization.py:37] \tbeta_squared:\t0.263\n",
      "INFO [initialization.py:38] Initializing candidate populations ...\n",
      "INFO [initialization.py:86] Computing PROPENSITY 1-1 matching method ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 1/50, 0.001 min) ...\n",
      "INFO [matcher.py:136] Best propensity score match found:\n",
      "INFO [matcher.py:137] \tModel: SGDClassifier\n",
      "INFO [matcher.py:139] \t* alpha: 1.5074398973827774\n",
      "INFO [matcher.py:139] \t* class_weight: None\n",
      "INFO [matcher.py:139] \t* early_stopping: True\n",
      "INFO [matcher.py:139] \t* fit_intercept: True\n",
      "INFO [matcher.py:139] \t* loss: log_loss\n",
      "INFO [matcher.py:139] \t* max_iter: 1500\n",
      "INFO [matcher.py:139] \t* penalty: l2\n",
      "INFO [matcher.py:140] \tScore (beta_squared): 0.0603\n",
      "INFO [matcher.py:141] \tSolution time: 0.004 min\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 2/50, 0.004 min) ...\n",
      "INFO [matcher.py:136] Best propensity score match found:\n",
      "INFO [matcher.py:137] \tModel: LogisticRegression\n",
      "INFO [matcher.py:139] \t* C: 0.05835496346821344\n",
      "INFO [matcher.py:139] \t* fit_intercept: True\n",
      "INFO [matcher.py:139] \t* max_iter: 500\n",
      "INFO [matcher.py:139] \t* penalty: l2\n",
      "INFO [matcher.py:139] \t* solver: saga\n",
      "INFO [matcher.py:140] \tScore (beta_squared): 0.0374\n",
      "INFO [matcher.py:141] \tSolution time: 0.007 min\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 3/50, 0.007 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:136] Best propensity score match found:\n",
      "INFO [matcher.py:137] \tModel: LogisticRegression\n",
      "INFO [matcher.py:139] \t* C: 16.16555309446666\n",
      "INFO [matcher.py:139] \t* fit_intercept: False\n",
      "INFO [matcher.py:139] \t* max_iter: 500\n",
      "INFO [matcher.py:139] \t* penalty: l1\n",
      "INFO [matcher.py:139] \t* solver: saga\n",
      "INFO [matcher.py:140] \tScore (beta_squared): 0.0357\n",
      "INFO [matcher.py:141] \tSolution time: 0.044 min\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 4/50, 0.044 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 5/50, 0.048 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:136] Best propensity score match found:\n",
      "INFO [matcher.py:137] \tModel: LogisticRegression\n",
      "INFO [matcher.py:139] \t* C: 54.02072493419677\n",
      "INFO [matcher.py:139] \t* fit_intercept: False\n",
      "INFO [matcher.py:139] \t* max_iter: 500\n",
      "INFO [matcher.py:139] \t* penalty: l2\n",
      "INFO [matcher.py:139] \t* solver: saga\n",
      "INFO [matcher.py:140] \tScore (beta_squared): 0.0347\n",
      "INFO [matcher.py:141] \tSolution time: 0.080 min\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 6/50, 0.081 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 7/50, 0.085 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 8/50, 0.089 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 9/50, 0.092 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 10/50, 0.117 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 11/50, 0.120 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 12/50, 0.124 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 13/50, 0.126 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 14/50, 0.129 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 15/50, 0.131 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 16/50, 0.134 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 17/50, 0.136 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 18/50, 0.139 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 19/50, 0.143 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 20/50, 0.165 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 21/50, 0.168 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 22/50, 0.170 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 23/50, 0.177 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 24/50, 0.181 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 25/50, 0.186 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 26/50, 0.188 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 27/50, 0.192 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 28/50, 0.196 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 29/50, 0.224 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 30/50, 0.226 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 31/50, 0.232 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 32/50, 0.235 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 33/50, 0.238 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 34/50, 0.241 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 35/50, 0.245 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 36/50, 0.280 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 37/50, 0.288 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:136] Best propensity score match found:\n",
      "INFO [matcher.py:137] \tModel: LogisticRegression\n",
      "INFO [matcher.py:139] \t* C: 0.5868985298319505\n",
      "INFO [matcher.py:139] \t* fit_intercept: False\n",
      "INFO [matcher.py:139] \t* max_iter: 500\n",
      "INFO [matcher.py:139] \t* penalty: l1\n",
      "INFO [matcher.py:139] \t* solver: saga\n",
      "INFO [matcher.py:140] \tScore (beta_squared): 0.0311\n",
      "INFO [matcher.py:141] \tSolution time: 0.322 min\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 38/50, 0.323 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 39/50, 0.325 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 40/50, 0.328 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 41/50, 0.331 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 42/50, 0.333 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 43/50, 0.350 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 44/50, 0.381 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 45/50, 0.385 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 46/50, 0.387 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 47/50, 0.423 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 48/50, 0.458 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 49/50, 0.460 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 50/50, 0.462 min) ...\n",
      "INFO [matcher.py:136] Best propensity score match found:\n",
      "INFO [matcher.py:137] \tModel: LogisticRegression\n",
      "INFO [matcher.py:139] \t* C: 0.5868985298319505\n",
      "INFO [matcher.py:139] \t* fit_intercept: False\n",
      "INFO [matcher.py:139] \t* max_iter: 500\n",
      "INFO [matcher.py:139] \t* penalty: l1\n",
      "INFO [matcher.py:139] \t* solver: saga\n",
      "INFO [matcher.py:140] \tScore (beta_squared): 0.0311\n",
      "INFO [matcher.py:141] \tSolution time: 0.322 min\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO [initialization.py:66] \tbeta_squared:\t0.031\n",
      "INFO [initialization.py:71] \tIncluded in initial population.\n",
      "\n",
      "INFO [initialization.py:132] Sampling 512 candidate populations according to PROPENSITY distribution ...\n",
      "\n",
      "INFO [initialization.py:132] Sampling 511 candidate populations according to UNIFORM distribution ...\n",
      "\n",
      "INFO [logger.py:34] Generation 0\n",
      "INFO [logger.py:35] \tremaining patients: 10000\n",
      "INFO [logger.py:36] \telapsed time: 0.51 min\n",
      "INFO [logger.py:45] \tbest beta_squared: 0.03106 \tworst beta_squared: 0.28163\n",
      "INFO [matcher.py:211] Time limit exceeded. Stopping.\n"
     ]
    }
   ],
   "source": [
    "match = matcher.match()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "60c826d7-ce64-4004-ad74-9956b77973d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 750x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x900 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x1800 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "match = matcher_beta2.get_best_match()\n",
    "m_data = m.copy().get_population('pool')\n",
    "m_data.loc[:, 'population'] = m_data['population'] + ' (prematch)'\n",
    "match.append(m_data)\n",
    "fig = plot_per_feature_loss(match, beta, 'target', debin=False)\n",
    "fig = plot_numeric_features(match, hue_order=['pool (prematch)', 'pool', 'target', ])\n",
    "fig = plot_categoric_features(match,  hue_order=['pool (prematch)', 'pool', 'target'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c6c9831",
   "metadata": {},
   "source": [
    "## Optimize Gamma (Area Between CDFs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2159ab59",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO [preprocess.py:335] Discretized age with bins [18.05, 27.54, 37.04, 46.53, 56.02, 65.51, 75.0].\n",
      "INFO [preprocess.py:335] Discretized height with bins [125.01, 136.68, 148.34, 160.01, 171.67, 183.34, 195.0].\n",
      "INFO [preprocess.py:335] Discretized weight with bins [50.0, 61.67, 73.33, 85.0, 96.66, 108.33, 120.0].\n",
      "INFO [matcher.py:125] cpu\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'objective': 'gamma',\n",
       " 'candidate_population_size': 1000,\n",
       " 'n_candidate_populations': 1024,\n",
       " 'n_keep_best': 256,\n",
       " 'n_voting_populations': 256,\n",
       " 'n_mutation': 256,\n",
       " 'n_generations': 5000,\n",
       " 'n_iter_no_change': 100,\n",
       " 'time_limit': 300,\n",
       " 'max_batch_size_gb': 2,\n",
       " 'seed': 1234,\n",
       " 'verbose': True,\n",
       " 'log_every': 1000,\n",
       " 'initialization': {'benchmarks': {'propensity': 'include'},\n",
       "  'sampling': {'propensity': 1.0, 'uniform': 1.0}}}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "objective = gamma = GammaBalance(m, feature_weights={'age':2})\n",
    "matcher = matcher_gamma = GeneticMatcher(\n",
    "    matching_data = m, \n",
    "    objective = objective,\n",
    "    log_every = 1000,\n",
    "    n_generations = 5000,\n",
    "    time_limit = time_limit\n",
    ")\n",
    "matcher.get_params()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "32393c2d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO [initialization.py:31] Optimizing balance with genetic algorithm ...\n",
      "INFO [initialization.py:32] Initial balance scores:\n",
      "INFO [initialization.py:37] \tgamma:\t0.217\n",
      "INFO [initialization.py:38] Initializing candidate populations ...\n",
      "INFO [initialization.py:86] Computing PROPENSITY 1-1 matching method ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 1/50, 0.001 min) ...\n",
      "INFO [matcher.py:136] Best propensity score match found:\n",
      "INFO [matcher.py:137] \tModel: SGDClassifier\n",
      "INFO [matcher.py:139] \t* alpha: 1.5074398973827774\n",
      "INFO [matcher.py:139] \t* class_weight: None\n",
      "INFO [matcher.py:139] \t* early_stopping: True\n",
      "INFO [matcher.py:139] \t* fit_intercept: True\n",
      "INFO [matcher.py:139] \t* loss: log_loss\n",
      "INFO [matcher.py:139] \t* max_iter: 1500\n",
      "INFO [matcher.py:139] \t* penalty: l2\n",
      "INFO [matcher.py:140] \tScore (gamma): 0.1083\n",
      "INFO [matcher.py:141] \tSolution time: 0.004 min\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 2/50, 0.004 min) ...\n",
      "INFO [matcher.py:136] Best propensity score match found:\n",
      "INFO [matcher.py:137] \tModel: LogisticRegression\n",
      "INFO [matcher.py:139] \t* C: 0.05835496346821344\n",
      "INFO [matcher.py:139] \t* fit_intercept: True\n",
      "INFO [matcher.py:139] \t* max_iter: 500\n",
      "INFO [matcher.py:139] \t* penalty: l2\n",
      "INFO [matcher.py:139] \t* solver: saga\n",
      "INFO [matcher.py:140] \tScore (gamma): 0.0391\n",
      "INFO [matcher.py:141] \tSolution time: 0.008 min\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 3/50, 0.008 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:136] Best propensity score match found:\n",
      "INFO [matcher.py:137] \tModel: LogisticRegression\n",
      "INFO [matcher.py:139] \t* C: 16.16555309446666\n",
      "INFO [matcher.py:139] \t* fit_intercept: False\n",
      "INFO [matcher.py:139] \t* max_iter: 500\n",
      "INFO [matcher.py:139] \t* penalty: l1\n",
      "INFO [matcher.py:139] \t* solver: saga\n",
      "INFO [matcher.py:140] \tScore (gamma): 0.0376\n",
      "INFO [matcher.py:141] \tSolution time: 0.055 min\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 4/50, 0.055 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 5/50, 0.058 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:136] Best propensity score match found:\n",
      "INFO [matcher.py:137] \tModel: LogisticRegression\n",
      "INFO [matcher.py:139] \t* C: 54.02072493419677\n",
      "INFO [matcher.py:139] \t* fit_intercept: False\n",
      "INFO [matcher.py:139] \t* max_iter: 500\n",
      "INFO [matcher.py:139] \t* penalty: l2\n",
      "INFO [matcher.py:139] \t* solver: saga\n",
      "INFO [matcher.py:140] \tScore (gamma): 0.0337\n",
      "INFO [matcher.py:141] \tSolution time: 0.091 min\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 6/50, 0.091 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 7/50, 0.095 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 8/50, 0.098 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 9/50, 0.101 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:136] Best propensity score match found:\n",
      "INFO [matcher.py:137] \tModel: LogisticRegression\n",
      "INFO [matcher.py:139] \t* C: 13.179630432958701\n",
      "INFO [matcher.py:139] \t* fit_intercept: False\n",
      "INFO [matcher.py:139] \t* max_iter: 500\n",
      "INFO [matcher.py:139] \t* penalty: l2\n",
      "INFO [matcher.py:139] \t* solver: saga\n",
      "INFO [matcher.py:140] \tScore (gamma): 0.0269\n",
      "INFO [matcher.py:141] \tSolution time: 0.135 min\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 10/50, 0.135 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 11/50, 0.138 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 12/50, 0.142 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 13/50, 0.144 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 14/50, 0.146 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 15/50, 0.149 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 16/50, 0.151 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 17/50, 0.154 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 18/50, 0.158 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 19/50, 0.165 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 20/50, 0.196 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 21/50, 0.199 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 22/50, 0.201 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 23/50, 0.203 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 24/50, 0.206 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 25/50, 0.211 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 26/50, 0.213 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 27/50, 0.219 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 28/50, 0.222 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 29/50, 0.263 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 30/50, 0.265 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 31/50, 0.271 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 32/50, 0.273 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 33/50, 0.277 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 34/50, 0.279 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 35/50, 0.281 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 36/50, 0.320 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 37/50, 0.333 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 38/50, 0.370 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 39/50, 0.372 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 40/50, 0.374 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 41/50, 0.378 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 42/50, 0.380 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 43/50, 0.409 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 44/50, 0.446 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 45/50, 0.448 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 46/50, 0.450 min) ...\n",
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 47/50, 0.486 min) ...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/sprivite/src/pybalance/venv/pybalance/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
      "  warnings.warn(\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 48/50, 0.524 min) ...\n",
      "INFO [matcher.py:180] Training model SGDClassifier (iter 49/50, 0.526 min) ...\n",
      "INFO [matcher.py:180] Training model LogisticRegression (iter 50/50, 0.528 min) ...\n",
      "INFO [matcher.py:136] Best propensity score match found:\n",
      "INFO [matcher.py:137] \tModel: LogisticRegression\n",
      "INFO [matcher.py:139] \t* C: 13.179630432958701\n",
      "INFO [matcher.py:139] \t* fit_intercept: False\n",
      "INFO [matcher.py:139] \t* max_iter: 500\n",
      "INFO [matcher.py:139] \t* penalty: l2\n",
      "INFO [matcher.py:139] \t* solver: saga\n",
      "INFO [matcher.py:140] \tScore (gamma): 0.0269\n",
      "INFO [matcher.py:141] \tSolution time: 0.135 min\n",
      "INFO [initialization.py:66] \tgamma:\t0.027\n",
      "INFO [initialization.py:71] \tIncluded in initial population.\n",
      "\n",
      "INFO [initialization.py:132] Sampling 512 candidate populations according to PROPENSITY distribution ...\n",
      "\n",
      "INFO [initialization.py:132] Sampling 511 candidate populations according to UNIFORM distribution ...\n",
      "\n",
      "INFO [logger.py:34] Generation 0\n",
      "INFO [logger.py:35] \tremaining patients: 10000\n",
      "INFO [logger.py:36] \telapsed time: 0.55 min\n",
      "INFO [logger.py:45] \tbest gamma: 0.02688 \tworst gamma: 0.23595\n",
      "INFO [logger.py:34] Generation 1000\n",
      "INFO [logger.py:35] \tremaining patients: 7375\n",
      "INFO [logger.py:36] \telapsed time: 4.93 min\n",
      "INFO [logger.py:45] \tbest gamma: 0.01151 \tworst gamma: 0.24080\n",
      "INFO [matcher.py:211] Time limit exceeded. Stopping.\n"
     ]
    }
   ],
   "source": [
    "match = matcher.match()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "862b23fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1350x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x900 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x1800 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "match = matcher.get_best_match()\n",
    "m_data = m.copy().get_population('pool')\n",
    "m_data.loc[:, 'population'] = m_data['population'] + ' (prematch)'\n",
    "match.append(m_data)\n",
    "fig = plot_per_feature_loss(match, gamma, 'target', debin=False)\n",
    "fig = plot_numeric_features(match, hue_order=['pool (prematch)', 'pool', 'target', ])\n",
    "fig = plot_categoric_features(match,  hue_order=['pool (prematch)', 'pool', 'target'])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pybalance",
   "language": "python",
   "name": "pybalance"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}