[fb42ae]: / decision_trees / modelwork.ipynb

Download this file

907 lines (906 with data), 597.6 kB

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Parameters: {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10}\n",
      "Accuracy: 67.00%\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.74      0.85      0.79       149\n",
      "           1       0.24      0.14      0.17        51\n",
      "\n",
      "    accuracy                           0.67       200\n",
      "   macro avg       0.49      0.49      0.48       200\n",
      "weighted avg       0.61      0.67      0.64       200\n",
      "\n",
      "[[127  22]\n",
      " [ 44   7]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split, GridSearchCV\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
    "from sklearn.tree import plot_tree\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Load data from CSV file\n",
    "file_path = './data/Diabetes_prediction.csv'\n",
    "df = pd.read_csv(file_path)\n",
    "\n",
    "# Split dataset into features and target variable\n",
    "X = df.drop('Diagnosis', axis=1)\n",
    "y = df['Diagnosis']\n",
    "\n",
    "# Split data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=87)\n",
    "\n",
    "# Initialize decision tree classifier\n",
    "clf = DecisionTreeClassifier(random_state=42)\n",
    "\n",
    "# Define hyperparameters to tune\n",
    "param_grid = {\n",
    "    'criterion': ['gini', 'entropy'],\n",
    "    'max_depth': [None, 10, 20, 30, 40, 50],\n",
    "    'min_samples_split': [2, 5, 10],\n",
    "    'min_samples_leaf': [1, 2, 4]\n",
    "}\n",
    "\n",
    "# Initialize GridSearchCV\n",
    "grid_search = GridSearchCV(estimator=clf, param_grid=param_grid, cv=5)\n",
    "\n",
    "# Fit the model\n",
    "grid_search.fit(X_train, y_train)\n",
    "\n",
    "# Best parameters\n",
    "print(\"Best Parameters:\", grid_search.best_params_)\n",
    "\n",
    "# Predictions\n",
    "y_pred = grid_search.predict(X_test)\n",
    "\n",
    "# Accuracy\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "print(f'Accuracy: {accuracy * 100:.2f}%')\n",
    "\n",
    "# Classification Report\n",
    "print(classification_report(y_test, y_pred))\n",
    "\n",
    "# Confusion Matrix\n",
    "print(confusion_matrix(y_test, y_pred))\n",
    "\n",
    "# Visualize the decision tree\n",
    "best_clf = grid_search.best_estimator_\n",
    "plt.figure(figsize=(20,10))\n",
    "plot_tree(best_clf, filled=True, feature_names=X.columns, class_names=['No Diabetes', 'Diabetes'])\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Parameters: {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 2, 'min_samples_split': 10}\n",
      "Accuracy for training data: 74.88%\n",
      "Accuracy for testing data: 67.00%\n",
      "Classification Report for testing data:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.74      0.85      0.79       149\n",
      "           1       0.24      0.14      0.17        51\n",
      "\n",
      "    accuracy                           0.67       200\n",
      "   macro avg       0.49      0.49      0.48       200\n",
      "weighted avg       0.61      0.67      0.64       200\n",
      "\n",
      "Confusion Matrix for testing data:\n",
      "[[127  22]\n",
      " [ 44   7]]\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABiIAAAMWCAYAAAB88Z6nAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd1iUV/rG8e/QpEivNlQEewUVe+8Vu2PKboppm55s2m9LNtlNstn0YrKpm+ZoLGDvir2CvaGigCi9S2fm94dmNmyaGskI3J/r8mLf4Z1z7nlFZvM+c85jsFgsFkRERERERERERERERGqAna0DiIiIiIiIiIiIiIhI3aVChIiIiIiIiIiIiIiI1BgVIkREREREREREREREpMaoECEiIiIiIiIiIiIiIjVGhQgREREREREREREREakxKkSIiIiIiIiIiIiIiEiNUSFCRERERERERERERERqjAoRIiIiIiIiIiIiIiJSY1SIEBERERERERERERGRGqNChIiIiIiIiIiIiIiI1BgVIkREREREREREREREpMaoECEiIiIiIiIiIiIiIjVGhQgREREREREREREREakxKkSIiIiIiIiIiIiIiEiNUSFCRERERERERERERERqjAoRIiIiIiIiIiIiIiJSY1SIEBERERERERERERGRGqNChIiIiIiIiIiIiIiI1BgVIkREREREREREREREpMaoECEiIiIiIiIiIiIiIjVGhQgREREREREREREREakxKkSIiIiIiIiIiIiIiEiNUSFCRERERERERERERERqjAoRIiIiIiIiIiIiIiJSY1SIEBERERERERERERGRGqNChIiIiIiIiIiIiIiI1BgHWwcQERG5UZKTk8nKyrJ1jDrFz8+P4OBgW8cQERERERERkVpMhQgREakTkpOTadeuLcXFJbaOUqe4urpw/PgJFSNERERERERE5LqpECEiInVCVlYWxcUlfPzs72kdHGTrOHVCQnIas1/+D1lZWSpEiIiIiIiIiMh1UyFCRETqlNbBQXQN001zEREREREREZGbhQoRIiJS50Rvjuf4uQu4uzozuncnFmzYy53j+xPo4wnA/PW7mTEsstpzNsWd4Pi5C8RsiSdqQDiRHULYvP8kjxtHApCTX0TcySSG9+xQ7XmPvjWXtx6dVSOvw2KxYDZbsLe3+8lzjiamsnbPUVIzc5k2pDtNA3yYs2gjDvb2TBvanY4hTQFITs/mq1U78HBzYerg7lzIymPnkTOcu5jFM7eNYdXOw1zIyiMtO5+Hpg8jpLF/jbwmEREREREREal/VIgQEZE6JzUzF6+GrvTrEkZo00AALmTl8++YWO6bNJidR84wY1gkox97g1tH9eZE0kVevGcygyPakpCSxgNThpCUlk3ciXO8t3ADpeUVTBvSg8NnzuPu6szGuOP4e7lz2+g+AKzaeYjzGbkM79mBP/17McN6tCc7v4g7xvbjla9W0rKxH+6uLni4OXP6fAaN/bzo0zmU9xduIKxZENOH9sDDzQWA8opKthxI4GhiKhYs3DG2P2dSM9h15Iz19fXpHGpd9dEhpAkdQpqwdvcRElMziTuRxB3j+tE0wIcXPl3CS/dPBeCTpVsI9PagsspMA0cHItq24OjZVC5m52Fvb49LA0ey84soKSvH38v9t/zrEhEREREREZE67qc/YikiIlJLPTh1KFEDw9l15AwfxcQC8LdPY3hw6jACvD2s57UODuKWkb0pLC790XG6tWnOg1OHkpKeY31scWwcT906mtkTB+Ls5EjSxWw27jvO7IkDMRgMdGsdzO/H9iMlI4ctBxNwdLDHw82FjNwCOoQ0wcHejqz8IgK8PWga4ENeUTHlFZXW8d9ftJHozXH06RTKI9OH49nQ5Rdf747Dp4k7cY6Zwy+v8jBg+ME5FRVV9Okcxti+nZm7bjcAt4/uy+2j+nAqJY2zF7N49cHpTB3cnU1xx3/5IouIiIiIiIiIXCWtiBARkTpn5Y5DJF7I5GJ2HoO7tSU7v4jXH5rJG6Y13DV+gPU8ww/v11djd+WE7583eVAEr369igBvD24d1ZvmjXyZNrQHr369kqlDemD43sn9u7Rm/8lkSssr6NCyMek5Bbg0cOL4uQtcyMrD2cmR9JwCcgou4XdlFcJjM0dgNpvZfTSRdxes59ZRfQhv05zwNs1/NOOeY4k8+8FCZgztye6jiUwc0I05izfiaG/PrJG92HvsLHZ2Bm4Z1Yt56/bgYG/H1CHdWbJlP+cuZnEmNYNnbh+Lh6szr89dTXpOAQ9PH3adV15ERERERERE5IcMFovFYusQIiIiv1Z8fDwRERFs/uAZNau+QQ6cSmbg/a8QFxdHeHi4reOIiIiIiIiISC2lrZlERERERERERERERKTGaGsmERGRa/DyF8u5c3x/An08a3Seeet2k5aTT2ZeIX+/Z7J1y6cXP1uKv7c7eYXFPHP7WN5fuAGDwUB+UTHP/m4cc9fuIj2ngMrKKv546+gazSgiIiIiIiIicjVUiBAREfmePccSWbH9EG4uTgwOb8f6vUfx8XDj1PkM7hrfn1PnM1gcG8fkQRHc+vxHzJ44EICLWfmkZefzuHEkf/tsCb06tOLcxSyMwyOZs3gjrz88kxc+W8KDU4fh4+EGgGntLnILi61z3zm+P85OjtYcbzxi5LPlWzmSmEqnVk0BOJ+Rw5/vnMDvXviE/KISzqRm8MYjRp7/JIa8omKGdm/H+4s2WscREREREREREbE1bc0kIiLyPQs27KVFIz8a+Xpx+nw6ABMHhDN9aA8OJCQT1jSAyYMiCPTxpF2Lxkwf2pNdR87wyIzhjO7TiW2HTmExW5g1IpJpQ7qzfu9R+nQKZdm2A9gZ7KxFiOs1qndnPl6ymfxLxdjb/7cx9ncrJgJ9PHlh9iSqqsy/ah4RERERERERkRtFKyJERES+Z+qQ7mw5kIC3uxtdwlpy7mIWBgMYMGC2WGgdHMSXK3dw66je2Nldvvnfp3MYb89fZ10RsWHfMT5dtpXT59O5e8JAWjXxZ/CDr2J64b5qcxlH9PrJHD3bh/D2/HVk5hVyx9h+fBi9ifsmDcZisVBaXsHkQRE0dHEmtGkgc66sgPBwdeafX63Ewd4Os8VSo9dJRERERERERORqGSwW3akQEZHaLz4+noiICDZ/8Axdw4JtmuXRt+by1qOzrMcrdxziRNJFHjeOtGGqa3fgVDID73+FuLg4wsPDbR1HRERERERERGoprYgQERG5wb5fhAAY06czY/p0tlEaERERERERERHbUiFCRESkhiSlZbNo075fvRKiuLScJ9+dR/uWTSgqLuXBaUP5++fL8GroSs8OIbQJDmLOoo042NszbWh3OoY0vUGvQERERERERETk11MhQkRE5Ed8snQLlVVVNPH3ZkDXNsxbt4vzmbmM79eVsvJKTOt24ePREJcGjjg7OeLl7sqwHh3447vzmTqkO6mZeUweFAHAnmOJrNh+CDcXJwaHt2PLgZO4uzoT1iyIwRFtAUjPyWfRpjjr/C0a+VlXUTjY21FYXEZuwSWaBfoQG3+C4T07MLR7ex57y8SJZoHcMa4fTQN8eOHTJbx0/9Tf/oKJiIiIiIiIiPwEO1sHEBERuRl1ax1MVZWZ7PwiSsrKqTJbaOrvTWz8CQAGdG3DH6YMocps5olZozh0+rz1edOH9iQlPds61oINe2nRyI9Gvl6cPp9OeJsWVFRWkVt46aqypGbmMbF/V/585wTiTyYBYDAYrny9fI4Bw4166SIiIiIiIiIiN5RWRIiIiPyIrLxCnBwdOH0+g+T0bMoqKnFp4EhVlRkABwd77OwMONrbA/8tCMSdTOLjJZsJ9PG0jjV1SHe2HEjA292NLmEtSUhJvzJ2uvWcQB9PHpgy5EezeLo5syn+BGk5BYQ1C2RQeFv+8fly9h47y7h+XS9vzbR4I4729swa2auGroiIiIiIiIiIyPUxWCwWi61DiIiI/Frx8fFERESw+YNn6BoWbJMMN6onxM3iwKlkBt7/CnFxcYSHh9s6joiIiIiIiIjUUtqaSURE5AZpHuRbZ4oQIiIiIiIiIiI3igoRIiIiwKNvzb1hY4174k2S07N5+YvlvD53NV+u2m793terd3LnPz4D4LG3TMxZtJHozfHVnv/+wg3MWbSRl79Y/qPjvz53Nf/8aiWvfr0SgBl/msOcRRvZcywRgDGPv8GcRRs5fu6C9TlFJaU8M2cBr3y5go1xx8nMLWTWXz4kPSf/hr1uEREREREREZEfo0KEiIjUC3/+aDFFJaWs2XWYVTsPsX7PUeYs2shfP46xnpOUls0bpjXA5cJEWXkFz8xZwIfRm3hv4QbrecWl5cxZtNH6Z/763dXmCm0WSHCgL76eDXGwt6ektByAVTsPEdo0AA83ZwCCfD0xWyyUlpVXe/6Z1AwemDKEsopK8oqKf/Banpg1ioenD+PcxSzgcn+J4rJyvtttMcjXi6KSUuwM/21gHRt/guE9O/DM7WNZtvUA/t7udGrV9Hovp4iIiIiIiIjIVVMhQkRE6oWZwyKZt24Pa3YfYWRkR/IvldDQtQEHTydbzzEYsN7Mt1jg6NkL5BUW4+7qTG7BpWue856oQTwyYzjllVWcTLrI5v0niT+ZxLGzFziRdJGnbxvDg1OHsj8hmeLS8h8833ClkPC/38svKuEvH0Xz3O/GAfDO47fw5KxRfLlqBwCf/d+dPG4cyZzFm350vO/VJ0REREREREREapyDrQOIiIj8FjqENOHtb9fRJbQZdnZ2HDt7gTbNg6isrLKeE+TjyZnUDBZt2kdOwSU6tGxMkK8npeUVtGvZ2Hqeq7MTD0wZ8otzLtq0j7MXs0jNyKV5Iz9eeWAaAAkpabRt3ojPl28jM68AB3s7XJ2d+DB6E/dNGkxo00DmLNqIs5MjXg1deeKdebz+8EzruBOfepsRkR1Zv/cYM4dH8t7CDZSWVdA1LJi07Hzmrt1FbuElBoW3pbC4lKVb9zNxQDf+8fly9h47y7h+XW/chRURERERERER+QUGy3cf/RQREanF4uPjiYiIYPMHz9A1LNimWZ6ds5D7pwwmOND3hoyXlp1PkK/nDRnrO5m5hby3cAOPGUfg1dD1R885cCqZgfe/QlxcHOHh4Td0fhERERERERGpP7Q1k4iICDe2WfXLD0wlONCXl79Ybh33l8af8ux7fLB4I//6ZhVLt+4HsPae+H4R4ps1O9l77OxPz/3F8qtqQO3v7c7fZkf9ZBFCRERERERERORG0dZMIiJSL+06coaNccfx93LnttF9gMu9F+at28X5zFzG9+tKWnY+p89n0NjPiz6dQ3l/4QbCmgUxfWgPPNxcAFi+/QDJaTnWcacN6YG/t7v1uIm/N9sOJliPX/16Jd7ubiSnZ/PC7EnWvg3NAn24f/Ll7Z4efP1rJvTvxs4jZ+jTKYxVOw9xKiWdB6YMBSB6cxybD5wkrGkgjfw8WbH9EG4uTgwOb8ep8xksjo1jbN8uzFm0kRaN/KisMhPZPoSVOw/R2M+L2RMH1uzFFRERERERERH5Hq2IEBGRemlxbBxP3Tqa2RMH4uzkCEBJWTlVZgtN/b2JjT9Bh5AmONjbkZVfRIC3B00DfMgrKqa8ovKq57ltVB/mr99LxZVeFGnZ+cyeOBCXBk5k5xf94vNLyi43qvb2cGP30TMAjOrdiSdnjSI2/gQLNuylRSM/Gvl6cfp8OmFNA5g8KIKsvKJqjbZbNvbDq6ErhcWllJZXXOvlEhERERERERG5bloRISIi9dLkQRG8+vUqArw9uHVUbwCS07Mpq6jEpYEjVVVm0nMKcGngxPFzF7iQlYezkyPpOQXkFFzCz+vyqodxfbv+7DwGA9w7aSATn3oHuLzN0sdLNlNSVm4dAyAlPYcPFm+kqKSMET07WB8/fu4iDg72mM0WqsxmAFbvPMzuo4kM6NaGxn6ebDmQgLe7G13CWuLk6MCXK3cwY3jPao22L2Tl4ersREJyGsUlZdbii4iIiIiIiIhITVOzahERqRNupmbVdYWaVYuIiIiIiIjIjaCtmUREREREREREREREpMaoECEiIiIiIiIiIiIiIjVGPSJERKROSUhOs3WEOkPXUkRERERERERuBPWIEBGROiE5OZl27dpSXFxi6yh1iqurC8ePnyA4WH03REREREREROT6qBAhIiJ1RnJyMllZWTU6x4EDB7j33nsZNWoUzz//PAaDoUbn+z6z2cwf//hHdu3axWeffUabNm1qfE4/Pz8VIURERERERETkV1EhQkRE5CqdOXOGXr160aFDB9auXYuTk9NvnuHSpUsMHDiQtLQ09uzZQ+PGjX/zDCIiIiIiIiIi10KFCBERkauQm5tLnz59qKqqYufOnfj6+tosy4ULF4iMjCQgIIAtW7bg5uZmsywiIiIiIiIiIr/EztYBREREbnYVFRVMnTqVjIwMVqxYYdMiBEDjxo1Zvnw5CQkJ3HLLLVRVVdk0j4iIiIiIiIjIz1EhQkRE5GdYLBbuv/9+tm7dyuLFiwkLC7N1JAC6dOnCvHnzWLZsGc8884yt44iIiIiIiIiI/CQVIkRERH7Ga6+9xqeffsrHH3/MwIEDbR2nmrFjx/Lmm2/y2muv8dFHH9k6joiIiIiIiIjIj1KPCBERkZ+wePFipk6dynPPPcff//53W8f5URaLhYceeogPP/yQ1atXM2zYMFtHEhERERERERGpRoUIERGRH7Fv3z4GDBjA+PHjMZlM2NndvIsIKysrGT9+PDt37mTHjh20b9/e1pFERERERERERKxUiBAREfkfKSkp9OzZk+bNm7Np0yZcXFxsHekXFRQU0K9fP4qKiti1axcBAQG2jiQiIiIiIiIiAqgQISIiUk1hYSH9+vUjPz+f3bt3ExgYaOtIVy0pKYnIyEhCQkLYuHEjzs7Oto4kIiIiIiIiIqJm1SIiIt+prKxk5syZnDt3jhUrVtSqIgRA8+bNWbp0Kfv37+eOO+5AnzUQERERERERkZuBChEiIiJXPPHEE6xZs4Zvv/2WDh062DrOdenZsydfffUV8+bN4/nnn7d1HBERERERERERFSJEREQA3nvvPd555x3effddRo4caes4v8rUqVN5+eWXeeGFF/j6669tHUdERERERERE6jn1iBARkXpv5cqVjB8/nkceeYQ33njD1nFuCIvFwt13383XX3/N+vXr6d+/v60jiYiIiIiIiEg9pUKEiIjUa4cOHaJv374MHjyY6Oho7O3tbR3phikvL2fUqFEcOnSIXbt2ERoaautIIiIiIiIiIlIPqRAhIiL1VlpaGj179sTX15etW7fSsGFDW0e64XJzc+nduzcWi4Vdu3bh7e1t60giIiIiIiIiUs+oR4SIiNRLxcXFTJgwgaqqKpYtW1YnixAA3t7eLF++nOzsbKZMmUJ5ebmtI4mIiIiIiIhIPaNChIiI1Dtms5nbb7+do0ePsmzZMpo2bWrrSDUqNDSU6Ohotm/fzv33348WQ4qIiIiIiIjIb0mFCBERqXf+7//+j8WLFzN37lzCw8NtHec30b9/fz799FM+++wz/vnPf9o6joiIiIiIiIjUIw62DiAiIvJb+uyzz3jllVd4/fXXmThxoq3j/KZuvfVWTp06xbPPPktoaChTp061dSQRERERERERqQfUrFpEROqNjRs3MnLkSO666y4++OADDAaDrSP95iwWC7fccgvR0dFs3ryZnj172jqSiIiIiIiIiNRxKkSIiEi9cOLECXr37k2PHj1YsWIFjo6Oto5kM6WlpQwZMoTExER2795N8+bNbR1JREREREREROowFSJERKTOy8rKIjIyEmdnZ7Zv346Xl5etI9lcZmYmkZGRuLm5sX37djw8PGwdSURERERERETqKDWrFhGROq2srIyoqCgKCwtZvny5ihBX+Pv7s3z5clJSUpgxYwaVlZW2jiQiIiIiIiIidZQKESIiUmdZLBbuuusu9u3bx5IlS2jZsqWtI91U2rdvz8KFC1m3bh2PPPIIWiQpIiIiIiIiIjVBhQgREamzXnzxRb755hu++OILevfubes4N6Vhw4bxwQcfMGfOHN59911bxxERERERERGROsjB1gFERERqwty5c/nrX//Kiy++yIwZM2wd56Y2e/ZsEhISeOyxxwgJCWHcuHG2jiQiIiIiIiIidYiaVYuISJ2zfft2hgwZwowZM/jiiy8wGAy2jnTTq6qqYurUqaxbt47t27fTpUsXW0cSERERERERkTpChQgREalTEhMTiYyMpF27dqxbt44GDRrYOlKtcenSJQYMGEBGRgZPPvkkFRUVPPnkk7aOJSIiIiIiIiK1nAoRIiJSZ+Tl5dG7d28qKyvZtWsXvr6+to5U65w7d44+ffpgsVgwm82kpaVpRYmIiIiIiIiI/CrqESEiInVCRUUFU6dOJT09nZ07d6oIcZ2WLl1Keno6FosFi8XCiRMnaNeuna1jiYiIiIiIiEgtZmfrACIiIr/GqVOn6NGjB/fccw+bN29m8eLFtGnTxtaxaq3Zs2fz3nvv0bRpUwDmz59v40QiIiIiIiIiUttpayYREanVXn31Vf785z9TXl7Oiy++yJ/+9CdbR6oTLBYLq1atYvDgwbi4uNg6joiIiIiIiIjUYipEiIhIrRYREUF8fDxOTk4EBASQnJysngYiIiIiIiIiIjcRFSJERKRWc3FxwWKx8Mc//pH777+fxo0b2zqSzSQnJ5OVlWXrGLWGn58fwcHBto4hIiIiIiIiUuepECEiIrXa+fPn8fPzw9nZ2dZRbCo5OZl27dpSXFxi6yi1hqurC8ePn1AxQkRERERERKSGOdg6gIiIyK/xXVPl+i4rK4vi4hI+fvYOWgcH2TrOTS8hOY3ZL39OVlaWChEiIiIiIiIiNUyFCBGRek7b+VRX27fraR0cRNfWtTe/iIiIiIiIiNQ9KkSIiNRjycnJtGvbhuKSUltHuWm4ujhz/MTJWl2MuB7/WbGNsxcy+dvsSdc9RmVVFQ729j97zvx1u/loSSwb3nsagLlrdpKeU0BlVRV/vHWM9bzX566msrIKg8HAU7eN+cF5D7/xDa2bBZKamcvLD0y77swiIiIiIiIiUvNUiBARqceysrIoLinl3SmhhPm52DqOzZ3KKuGhRafr3XY9FouFzNwCOrRswpnUDBq6NOBfX6+ifcsmbD1wktcfnskrX62gZSN/3N2cuXVUH+tzk9KyWb/3KIWXSunQsjHDIzvyUUwslVVVADg6ODB74kDr+TOGR7LzyBnr8dAe7Xl/4Uacnar/X5InZo2ipKycJ96e96PnlZdXcKmkDB/PhjV2XURERERERETkxlAhQkRECPNzoVNj3dCtr9bsOkJuQTGODnmcWrubdi0bM3FAOP27tmbvsUS2HEjA0d4eDzcX0nMLrM9LSsvmmfe/ZWiP9tw2ug++11EUCPTx5IV7JvHiZ0uqPZ5fVMLfP1/Kc78f94PzCotL6do6mPsmD+HhN775dS9eRERERERERGqcChEiInJDvb4phdu6BxLg7lSj8yw8mElGYTlZlyr484jmGAwGAD7acQGDwUBBaSVPDG5WoxnqitW7DvPWY7MAeP6TGLq3a8E789dxJjWD8spK+ndtzf6EJEorKujQsrH1ec2DfDG9eD+ZuQWs3nkYbw9XxvTpwj1Rg35yrg37jnHsbCofxcRy94QB/OvrVTg42GM2WwD4cPFG7ps8hIlPvc2Inh1Yv/cYt4/uU+08ZydHDp9J5YNFG/H3UgFNRERERERE5GanQoSIiFyTfSmFrD2Rg4ujPQNaeRJ7Og9vFwfOZJdwe48gzmSVsPRINhM6+nL3/JP8vmcQAOkF5aQVVvBQ/ya8siGZHsHuJOWUMrWrP5/svMhL40J4ZX0y9/ZphLerIwALDmSSV1Jpnfu27oE4O9oBEJdSyMvjQvhqbzrH0ovpEOQGwNmcUl4eF8LL65LIL6nE00Vvdb/kuyIEwPN3RwHQJSyY/KJiRvTsiK9nw5/tHeHv7cEto3pf1VxDu7dnaPf21uOnbx9b7fv3TR4CQOycZ6o9/r/nvf/H265qPhERERERERGxPd2dERGRaxJzKIu2ga442BlIzL7c5HpsB19S8so4dOESrfxcmNDRlwB3J9oGuDK5sz/PLk/k5XEhbD+bz86kAswWC9O6+HMmu4TYU3lEtvBg1fFs7AxYixC/2pUVEnJ9bhvd55dPEhERERERERG5CipEiIjINZnYyY8dZ/PxcnEgopk7ybmlGAADYLZYCPV3YW58BjO7BVi3S+rV3IMPtqVaV0RsPp3Hl3vTScwu4faeQYT4ODP248N8ZmxTba5pXf1/MkdEM3c+2JZK1qUKbu0ewKe7LnJXr0aE+Lrw8c6LODsYtBriV3r5i+XcOb4/gT6eNTrPvHW7ScvOJzOvkL/fO9n6c/PiZ0vw93Inr6iYZ24fx/sLN2AwXO4f8ezvxvHZsq2UlpezcOM+Nr7/dI1mFBEREREREZHrpzs0IiJyTXoEu9Mj2N163LHR5S2RAtydiGjmXu3cf44PAS4XL77P3s7A7yODrMdrT+Qwtr0vjTwaXHWOqV2qFynu6tUIgNm9G131GPXdnqOJrNhxEDfnBgyOaMv6vcfw8XDjVEo6d00YwKmUdBZvimPy4Ahu/etHzJ44EICL2XmkZefzuHEkf/t0Cb06tuLcxSyMw3sxZ9EGXn/EyAufLuHBacPw8bj882Fau4vcwkvWue8cPwBnp8urX/YcS+SNR4x8tmwrRxJT6dSqKQDnM3L5850T+d0LH5NfVMKZ1AzeeMTI85/EkFdUzJ3j+7M/IQkDWv0iIiIiIiIicjNTIUJERH5z3xUovjOirQ8j2tooTD22YONe2rdsjIO9PafPZwAwcUA4yWnZHEhIJqxZIJMHRxDo40m7lo2ZPqwnj79t4o1HjGzZf5Jth05hsViYNaIXp1LSWb/3KH06h7Fs2wHs7AzWIsT1GtW7Ex8v2Ux+UQn29v8tNny/7PDVqh3WvhYiIiIiIiIicnOys3UAERGpv1JyS3lva+qvHqe4vIr/W5HI+1tTiTmcdQOS1Q9Th3QnK7+IsooKOoQ0AS631jAYwGy20Do4iC9XbudiVh52V7ZL6tMplLfnr2XVzkP06xyGwWDg06Vb+GzZVoZ0b8ekgeG89s0q7hw3oNpcxhG9eGDKUOuf71ZDAPRsH8Lb89eSeCGDjiFN+HDxRgAsFigtq2DyoAgaujgT2jSAOYs24OzkiFdDV9Ky83FzboCHm8tvdMVERERERERE5HpoRYSIiFyXL/akUWm20NjTib4tPVl4IJMLBeWMaudDeaWZBQcy8XF1wNnRDmcHezxd7Bkc6sX/rTxLVCc/LuaXM6GjLwD7UgpZeyIHF0d7BrTyZMfZAho2sKOVnwsDWnkBkFFYzpIj2db5m3s3YERbHwBOZ5XQ0seFu3oFcevXx4n6n62g5MdFdmhFZIdW1uPOoc0ACPTxpEf76qtW3npsFgBTh/So9riDvT2zowZZj1fuOMjEAeE09ve66hwzh0dWO75v8hAAJg+KqPb4A1OGVjsO8vXkxXsnX/U8IiIiIiIiImIbWhEhIiLXpUuThlSZLeRcqqSkwkyVBRp7OLH1TD4AfUM8md27MVVmeGhAE45cvNwfoEvjhkzu7M/5/DLrWDGHsgj2dqaRhxOJ2aV0aeJGRZWFvJLKq8rS6Uqfis92p+HprBr7b+m7AsV3xvTpwuPGkTZKIyIiIiIiIiI3I92tERGR65J1qQInBzsSs0tIyXOlvNKMs6MdZosFAEc7A3YGcLyyt7/hytY+B1KL+M/uNAIa/ndrnomd/NhxNh8vFwcimrlzJqsEJ3s7zmSVWs8JcHf6yUbUBoOBSrOFKrMFY0RgTb1k+RlJadks2rTvVxchKiqr+HhJLFVVFmLjj/PlX+/hrx9H08Tfm2aBPkwd0oN/fb2SY2cv8Pmf775B6UVERERERESkJqkQISIi12VYa+9qx92buf/oeU8Mvrzdzz/Hh5CSW0pkcw9+Hxlk/f6D/S/3JugR/N/nd2x07U2O7+vb+JqfI5d9snQzlZVVNAnwYUDXNsxbt4vzGbmM79eVsopKTGt34ePphouTE84NHPFyd2VYjw788Z15TB3Sg9TMXCYP7g7AnqOJrNhxEDfnBgyOaMuWAwm4uzoT1iyQwRHtAEjPyWfRpn3W+Vs08mNMny4AODrY88CUocRsjueOcf1JSEmjVZMA7ps8mCnPvsfUIT34461jePTNub/9hRIRERERERGR66KtmURE5DfTzNvZWniQm0e31s2pMlvIzi+ipKycKrOZpgHexMafAGBAtzb8YcpQqsxmnpg1ikOnUi4/r01zpg/rSUpGjnWsBRv30qKRH438vDh9PoPwNs2pqKwit7D4mjKt3nmIMX060zUsGIB/R2/Cq6HrDXrFIiIiIiIiIvJb0ooIERG5oZ5elsg/x4f88olXYernR3lrUig7zuWTVVRBWkE5zw4PxsXRvtp5safz2H++kNySSp4dGsyRtGK+3JvGu1PCbkiOui4rrxAnRwdOn08nOa0xZeWVuDRwpMpsBsDB3g47OwOODpev+3fbbMWdOMfHMbEEentYx5o6pDtbDiTg7e5Kl7AQEpLTcHKw53RKuvWcQB/PHzSe/r79CUl0CQvGzu7y5yUqq8xUVlVx+5i+AHy1agfHzqayfNsBxvXrekOvhYiIiIiIiIjceCpEiIjINfn72iQeG9iUnUkFmC0WHO0MnM4qJbOonOeGNwcgJbeUJUeyebB/E55elsgLo1vwj3VJNPd2ptJs4d4+l7dRKimv4uu4DOvYPq4OTOnibz1u5edCU68GbE8s4K1JrfhiTzpbzuQzsq1PtUxrTuTw8rgQYk/nsSXx8vcXHsz8Da5G3TCyV6dqxz07/Hgh6dnfjQMuN6hOSsumT+cwZkcNsn7/u/4QkR1aWR/rHNrsmvN0a92cbq2bW48fmj6s2vdvG92H20b3ueZxRURERERERMQ2tDWTiIhckyld/Fh4MJMNCbkMC/OmoKyKhk52HL54yXqOwWDgSs9qLBYLJ9KLyS+pomEDe/JKKq95zrt6BfHxzosczyjG0d5AeaWZyirLjXpJch2aB/n+6sbUIiIiIiIiIlI/aEWEiIhck3aBbszZdoFOjdywszNwIr2YMH8XKr5XGAho6EhidglLjmSRW1JJ20BXgtwdKas00zbgv/v8uzjZM7t3o1+cs6LKgtkCQe5ODGzlxee70xgc5kUrPxcARrb14c3Y8+SVVPLM0Gv/BH599Oibc3nrsVk3ZKxxj7/JnKdv55vVO3FydMDfy53bx/QlNv4Eh06nkHQxi5cfmMa2g6c4cCqZBo4O/GHqf7dmen/hBgwGyC8qsa66+L7X566msrIKg8HAU7eNYcb/zWFgeBu6t21Jzw4hjHnsDcb168LgiHa0a3F5tU1RSSl//2wpXu6u9Gzfik6tmvDIG3N58zEjgT6eN+R1i4iIiIiIiMjVUSFCRESu2fd7Lzw99HIz4cmdL2+p9F1/iDcnhQIwsaMfAM8Ob861cnaw43xeGRHN3Ilo5m59fHxHXwLdnazHg0K9GBTqZT3em1xISx/na56vLvnzvxfz9O1j2H7wFGazBUcHexJS0kjPKeBvsycBkJSWzaJN+3jcOJJH35zLP/8wjb9+HE2LRn5UVpl5cNrlLZGKS8v5z4qt1rF9PRoyY3ik9Ti0WSDBgb74ejakpKyckrJyAAaFt+VAQjLZBZewt7Pjq1Xb6d0pFLPZjMVisfaaOJOawRuPGHn+kxjyiop/0JT6iVmjKCkr54m35wEQ6OtJcWk5Fi4Xv4J8PSkqLsPuyngAsXEnGB7ZkaHd2/PYW3MZ0r0dnUKb3ujLLCIiIiIiIiJXQVsziYjIj3p6WeINH/P1TSnWcX9p/Fu/Ok4zrwYsOpjJymPZACy60vfh+0WI+fsziEsprPbcHsHu3Ne3sXXOjMLyG/YaaouZwyOZt243a3YfYWSvjuRfKqGhizMHT6VYzzEYLm+dBZe/Hj17gbzCYtxdXcgtvPRTQ/+ke6IG8ciMEZRXVHEy6SIAj84cwcBubbiQlUd6TgF3TxhAAyfHajmsea58LS6t/veVX1TCXz6K5rnfX14t8c7jt/DkLaP5cuUOAD770108PmskcxZt/J/xDFdepwERERERERERsR2tiBAREQD2Jhew+XQ+fm6OzAwPAKCgtJKFBzK5UFDOqHY+ZBSWk5hdSpCHE72ae/DRjgu08nNhcmc/3J0vv6WsPp5DSl6ZddxJnfzwa+hoPW7s4cTOc/nW4zdjz+Pt4sD5/DL+b3iw9aZxE68G3H1l26Ynl5xhTHtf9iQX0qu5B2tP5nAmq9S6rdOyo9lsP5tPKz8XAt2dWHsiBxdHewa08uRMVglLj2Qzqp0PH+28YG2Y3b2ZO2tP5tLIw4nf9wyq2YtrAx1CmvD2/LV0CQvGzs6OY2dTaRPciMrKKus5QT6enDmfwaJN+8gpuESHlo0J8vOitKLCusURgKuzEw9MGfpj01SzaNM+zl7IJDUzl+aNBvLVqh3kFBRx+nwG04b24LbRfXjn2/Wk5+QzfWhPPly8kfsmDyG0aQBzFm3A2ckRr4auPPG2idcfMVrHnfjU24zo2YH1e48xc3gk7y1YT2l5BV1bB5OWnc/ctbvILbjEoIi2FBaXsnTLfiYO7MY/Pl/G3mOJjOvb9YZeWxERERERERG5NipEiIgIAEuPZPPXkS1wsP/vp8dLKsxUWS4XD7aeySeqky/JuWVkX6rAz82Rxp4NyC+tpPwaGkfPDA/gtY0pmK98Ej+jqJzHBjXltY0p5BRX4uvm+LPPL6kwA+Dl4sDeKyshhrfxpm9LT55ZloiDnYG2ga442BlIzC6llZ8LEzr6crGg/HLD7CB7zuWU0sLHGS9ne4rKqiitMOPsWPcWCX707B3W//3nOycCMH1YTwBrf4g5T90OwJTB3QF4/u6oa57HpYEjyenZ1jG+c9voPtWOjSN6VTu+b/IQgB8UOf5465hqx7Fznql2/OQto6sd/2/T7FtG9Qbg5QemWR/LzC2gtLyCBk4///MlIiIiIiIiIjde3bvrIiIi12VCR1/e2nyeL/akUXrlZn9KXhnllWYsgNliIaOoAmdHO87llJJWWI6zgx35JZXkFldaxxnVzofZvRtZ/3x/NQRc3n7njsgg1iXkAhDQ0In/7E6jtNJcrQiRmlfGJzsv8vbm8wwJ87I+fjKzGAc7O8wWC1Xmy8WMdSdzeXvzefqGeDKxkx/ZlyooqzTTLtCVUH8X5sZn4OvmWK1h9sWCclyc7EkrKKe4oor65NE3597Q8V5+YBrfrN5pHfeXxp/yzLt8sGgj//pmFUu37gdg/rrd1u8H+V5uJv3N6p3sPfbTW3i9/MVy0nPyf/L73+fv7cHfZk/6Qf8JEREREREREal5WhEhIiIA9Aj2oEewh/X4u6bT3b/XJBogsvl/z/l95LVtafTE4GYABLg7ceipHgA8NujHGwh/fVu7Hzz2XaZf0iP4v5k7NnKz/u//bZj9/e/VZbuOnGHjvmP4e7lz25i+wOW+C/PW7eJ8Ri7j+3UlLSef0+czaOznRZ/Ooby/YANhwYFMH9oTDzcXAJZvO0ByerZ13GlDeuDv/d+fhyYB3mw7mGA9fvWrlXi7u5KcnsML90yybrvVLNCX+6dcXg3x4GtfMaF/N3YeOUOfzmGs2nmIUynpPHDl+9Gx8Wzef5KwZoE08vVixY6DuDk3YHBEW06lpLN4Uxxj+3VhzsIN1ibbkR1CWLnjEI39vZk9cWDNXlwRERERERER+UVaESEiIlLHLY7dx1O3jWF21CCcr2xNVFJWTpXZTNMAb2LjT9AhpAkO9nZk5RUS4O1B0wAf8gqLKa+o/IXR/+u2UX2Yv34PFVf6UKTl5DM7ahAuDRzJzi/6xeeXlF1uUu3t7sruo5dXQozq3YknbxlNbPwJFmzcS4tGfjTy8+L0+QzCmgUyeXAEWXlF1Zpst2zsj5e7K4XFpZSWV1zr5RIRERERERGRG0wrIkRERGq50tJSNm7c+JPfnzyoO69+tZIAHw9uHXW5b0NyWjZl5ZW4NHCkymwmPTsflwZOHD93gQtZeTg7OZCem09OwSX8vC6vMBnXr+vP5jAY4N6oQUx86m3gcjPsj2NiKSmrsI4BkJKezQeLNlJUWsaIyI7Wx4+fu4CDvf3lbbeqLm8PtnrnYXYfS2RAtzY09vNiy4EEvN1d6RIWgpOjA1+u3M6M4ZHVmmxfyMrD1bkBCclpFJeUWYsvP6awsPDnL66IiIiIiIiI/GoGi8Vy9R1GRUSkTomPjyciIoJ3p4QS5udi6zg2dyqrhIcWnSYuLo7w8HBbx/lZlZWVbNq0iblz5xIdHU1+/uVeCZs/eJaurYNtnO7mdyAhmYH3v4yjoyPjxo3DaDQybtw4XFz070BERERERETkRtOKCBGReszPzw9XF2ceWnTa1lFuGq4uzvj5+dk6xo+yWCzs3LkTk8nEt99+S0ZGBqGhoTz88MN06dKFqVOn2jpirfPggw+ydetWpk+fTsOGDYmKisJoNDJ8+HAcHX96JYWIiIiIiIiIXD0VIkRE6rHg4GCOnzhJVlaWraPcNPz8/AgOvnlWFFgsFg4dOoTJZGLevHkkJSXRpEkTbr31VoxGIxERERgMBuLj420dtVa69dZbeeONNzh16hQmkwmTycTXX3+Nr68v06ZNw2g00q9fP+zs1FZLRERERERE5HppayYREZGb0OnTp603xo8fP46Pj4/1xnj//v1/cGP8u222Pn72DloHB9kode2RkJzG7Jc//8E2XBaLhYMHD1oLP8nJyTRt2pQZM2ZgNBoJDw/HYDDYMLmIiIiIiIhI7aNChIiIyE0iNTWV+fPnYzKZ2LdvH25ubkRFRTFr1qxf3CooOTmZdu3aUlxc8hsmrt1cXV04fvzET66AMZvN1bbCyszMJCwsDKPRiNFopG3btr9xYhEREREREZHaSYUIERERG8rOzmbhwoWYTCa2bNmCo6MjY8aMsTZPdnV1veqxkpOTtc3WNbiWbbgqKyvZuHEjJpOJxYsXU1BQQNeuXTEajcycOfOm2s5LRERERERE5GajQoSIiMhvrKioiCVLlmAymVizZg1ms5mhQ4diNBqZNGkSXl5eto4oP6O0tJRVq1ZhMplYtmwZpaWl9O3bF6PRyLRp0wgICLB1RBEREREREZGbigoRIiIiv4GysrJqN69LSkro06eP9eZ1YGCgrSPKdSgsLCQmJgaTycS6deuwWCzVikqenp62jigiIiIiIiJicypEiIiI1JDKyko2bdpk3c4nPz+fLl26YDQamTFjBi1atLB1RLmBsrKyrNtsbd26FScnJ8aOHYvRaGTs2LG4uLjYOqKIiIiIiIiITagQISIicgNZLJZqDY4zMjIIDQ219hJo3769rSPKb+D8+fPWxuNxcXG4u7sTFRWF0Whk2LBhP9t4XERERERERKSuUSFCRETkV7JYLBw6dAiTycS8efNISkqicePGzJgxA6PRSPfu3TEYDLaOKTaSkJDAvHnzMJlMnDhxAl9fX6ZNm4bRaKRfv37Y2dnZOqKIiIiIiIhIjVIhQkRE5DqdPn3aeoP52LFj+Pj4MHXqVIxGI/3798fe3t7WEeUmYrFYOHjwoLVglZycTNOmTa0Fq/DwcBWsREREREREpE5SIUJEROQaXLhwwbrlzt69e3Fzc7NuuTN8+HCcnJxsHVFqAbPZzM6dO5k7dy4LFiwgMzOTsLAwjEYjRqORtm3b2jqiiIiIiIiIyA2jQoSIiMgvyM7OZtGiRZhMJjZv3oyjoyNjxozBaDQybtw4XF1dbR1RarHKyko2bNiAyWQiOjqagoICunbtau0rEhwcbOuIIiIiIiIiIr+KChEiIiI/oqioiCVLlmAymVizZg1ms5mhQ4diNBqZNGkSXl5eto4odVBpaSkrV67EZDKxfPlySktL6devH0ajkWnTpuHv72/riCIiIiIiIiLXTIUIERGRK8rKyli1ahUmk4lly5ZRUlJC7969MRqNTJ8+ncDAQFtHlHqkoKDAWgxbu3YtAMOGDbMWwzw8PGycUEREREREROTqqBAhIiL1WlVVFZs2bWLu3LksXryY/Px8OnfubN0Wp0WLFraOKEJWVhYLFy7EZDKxZcsWGjRowNixYzEajYwdOxYXFxdbRxQRERERERH5SSpEiIhIvWOxWNi1axcmk4lvv/2W9PR0WrVqZW0U3L59e1tHFPlJ58+fZ/78+cydO5f4+Hjc3d2tDdOHDRuGo6OjrSOKiIiIiIiIVKNChIiI1AsWi4XDhw9jMpmYN28e586do3HjxsyYMQOj0Uj37t0xGAy2jilyTRISEjCZTJhMJk6ePImfnx9Tp05l1qxZ9O3bFzs7O1tHFBEREREREVEhQkRE6rYzZ85Yb9QeO3YMHx8fpk6ditFopH///tjb29s6osivZrFYOHDggLXQlpKSQtOmTZk5cyZGo5Fu3bqp0CYiIiIiIiI2o0KEiIjUORcuXGD+/PmYTCb27t2Lm5sbEydOZNasWQwfPhwnJydbRxSpMWazmR07dmAymViwYAGZmZm0bt3auvVYmzZtbB1RRERERERE6hkVIkREpE7IycmxNvPdvHkzjo6OjB49GqPRyPjx43F1dbV1RJHfXGVlJRs2bMBkMrF48WIKCwvp1q2btRl7s2bNbB1RRERERERE6gEVIkREpNYqKipi6dKlmEwm1qxZQ1VVFUOGDMFoNDJ58mS8vLxsHVHkplFaWsrKlSuZO3cuy5cvp6ysjH79+mE0Gpk2bRr+/v62jigiIiIiIiJ1lAoRIiJSq5SVlbF69WpMJhNLly6lpKSE3r17W2+mBgUF2TqiyE2voKCAmJgYTCYT69atA2DYsGEYjUYmTZqEh4eHjROKiIiIiIhIXaJChIiI3PSqqqrYtGmTdXuZvLw8OnfubN1epkWLFraOKFJrZWZmWrc127p1Kw0aNGDcuHEYjUbGjBmDi4uLrSOKiIiIiIhILadChIiI3JQsFgu7du3CZDLx7bffkp6eTkhICLNmzcJoNNK+fXtbRxSpc1JSUqyN3uPj43F3d2fSpEkYjUaGDh2Ko6OjrSOKiIiIiIhILaRChIiI3DQsFguHDx/GZDIxb948zp07R6NGjZgxYwZGo5EePXpgMBhsHVOkXjh58iTz5s1j7ty5JCQk4Ofnx7Rp0zAajfTt2xc7OztbRxQREREREZFaQoUIERGxuTNnzmAymTCZTBw7dgxvb2+mTp2K0WhkwIAB2Nvb2zqiSL1lsVjYv3+/tUB4/vx5mjVrZi0QduvWTQVCERERERER+VkqRIiIiE1cuHCBb7/9FpPJxJ49e3Bzc2PixIkYjUZGjBiBk5OTrSOKyP8wm81s374dk8nEggULyMrKok2bNsycOROj0UibNm1sHVFERERERERuQipEiIjIbyYnJ4dFixZhMpmIjY3F0dGR0aNHYzQaGTduHG5ubraOKCJXqaKigg0bNmAymYiOjqawsJDw8HCMRiMzZsygWbNmto4oIiIiIiIiNwkVIkREpEYVFRWxdOlSTCYTa9asoaqqiiFDhmA0Gpk0aRLe3t62jigiv1JJSQkrV67EZDKxfPlyysrK6N+/P0ajkalTp+Lv72/riCIiIiIiImJDKkSIiMgNV1ZWxurVqzGZTCxbtozi4mJ69eqF0Whk+vTpBAUF2TqiiNSQ/Px8YmJiMJlMrF+/HoDhw4djNBqJiorCw8PDxglFRERERETkt6ZChIiI3BBVVVXExsYyd+5cFi9eTF5eHp06dcJoNDJz5kxatmxp64gi8hvLzMxkwYIFmEwmtm3bhrOzM2PHjsVoNDJ27FicnZ1tHVFERERERER+AypEiIjIdbNYLOzevRuTycS3335LWloaISEhGI1GjEYjHTp0sHVEEblJJCcnM3/+fEwmE/v378fd3Z3JkydjNBoZOnQoDg4Oto4oIiIiIiIiNUSFCBERuWaHDx/GZDIxb948zp49S6NGjZgxYwZGo5EePXpgMBhsHVFEbmInT57EZDJhMplISEjA39+fadOmYTQa6dOnD3Z2draOKCIiIiIiIjeQChEiInJVEhMTrTcOjx49ire3N1OnTsVoNDJgwADs7e1tHVFEahmLxcL+/futhc3z58/TrFkzZs6cidFopGvXrhgMBoqKiqisrMTLy8vWkUVEREREROQ6qBAhIiI/6eLFi9atVPbs2YOrqysTJ07EaDQycuRInJycbB1RROoIs9nMtm3bMJlMLFiwgOzsbNq0aYPRaCQrK4v58+cTGxtL+/btbR1VRERERERErpEKESIiUk1OTg6LFi3CZDIRGxuLg4MDo0ePxmg0Mn78eNzc3GwdUUTquIqKCtavX4/JZCI6OpqioiKcnZ1xdHRk3bp1REZG2jqiiIiIiIiIXAMVIkREhEuXLrF06VJMJhOrV6+mqqqKwYMHYzQamTx5Mt7e3raOKCL11KZNm5g8eTJ5eXkAdO7cmYMHD9o2lIiIiIiIiFwTFSJEpFZKTk4mKyvL1jFuOn5+fgQHB1/VuWVlZaxZswaTycTSpUspLi6mV69eGI1Gpk+fTlBQUA2nFRH5ad/9ns/IyGDlypX4+/vj4+NDp06daNiwoa3jya9wLe9VIiIiIiJSN6gQISK1TnJyMm3btaOkuNjWUW46Lq6unDh+vNoNnoKCAlavXs20adMwm83ExsZiMplYtGgReXl5dOrUCaPRyMyZM2nZsqUN04uIXJacnEy7dm0pLi6xdRSpAa6uLhw/fkLFCBERERGResTB1gFERK5VVlYWJcXF/OHlT2gS0sbWcW4aqYknef/Zu8nKyrLe3CkqKmL06NEcPnyYzZs3s3jxYtLS0ggJCeGBBx7AaDTSsWNHGycXEakuKyuL4uISPn7md7QO1uqsuiQhOY3Zr3xR7b1KRERERETqPhUiRKTWahLShpbtu9o6xk2rvLycTp06ce7cOQAWLlyI0WjEaDTSs2dPDAaDbQOKiPyC1sFBdA3TzWoREREREZHaToUIEanV8rIyWPXVe3j6BnCpII9+42awfeUChk2/Cy+/wBqdu6qyEnuHn/81unXZPNbO+zcvfrMJgDVz/038ltU8+2E0ZrOZb17/Pzx9A/D2b0T/8TMBKC0uYv67L+Lm4UXrLpEEBYewb9MKMlOTcPfyZWDUrSz/4h28fAOYePcTPzl3cnIyqamp1uOgoCDeeuutX//CRUR+Q9+s2cmRxFSaB/lyISufp28dzeb9J+nXJQwPN5dq5z76lom3HjX+5Fi/9P3vz1dcVs6d4/rTJbTZT471lzvHE3ciieE9O1z7CwOS0rJ56v1vGditDb06tCK8TfOrfu43a3bSulkQPdq3ZP76PcwY1vO6MlRWVeFgb/+z57y/aCMGA+QXlfDs7WOtj5vNZv78UTS+Xu48PnMED785l9bNAknNzOXl+6dSXFrOw29+w6henZg6uPt15RMRERERkbpBhQgRqdVWfzOHcXc8gruX7w++98kLj3D3X962fl362Zs4NXAhoGlz/Ju0YNsyE44NnGnfYwCpiSeoqqzAN6gJbSP6suiDVwhs1hIXN3cGTbrNOmZmahIHtq+npKiA4LAOdO0/gjVz/01VVSUADo5OjJg523p+//EzObl/p/V45Kx7STl9DIDkhCM0bhHG0Gl38umLj1oLEYd3bqJb/xF07jOUT198lLv+/BZjbvsDX7/2HEOm3oGXXwBjbn2AHasW/uy1CQ0Npby8nIKCAs6ePavmriJSa00eGEGP9i3Zn5CMaf1uMnMLiWjbnPX7jpGakUtFlZnHZ47g7MUsPlu+lWNnL/DSfVN4+csVBPp4kFNwiWlDenD6fDrr9x6ltLySo4mplFVUctvoPnyxcjtN/L3pFtbMOp/BADsOnca0djctGvlSWWVm+tAevDZ3Na2Dg8grKqawuIzDiak4Otiz7dApHO3tcXR0INDbndPnMxjWoz3r9x6zZnjCOJK/frLEOt74fl2tr9HPq6G1UPLd1ynPvc+MoT3Yfvg0bz86i799uoTG/t60a96IU+czOHsxCx9PN3YeOcPgiLa8OW8tgT6eNAv0IcDbnUWb4ghp4o+vhxu3jOxtnSspLZv1e49RWFxKh5aNGd6zAx/FxFJpNgPg6ODA7AkDrOefSc3gjYdn8vynS8grKsaroSsAcxZvYvKgCDYfSACgvKKSSyVl+Hg0xGw28/6iDUwf0oOC4tKa/hEREREREZGbnJ2tA4iI/FoGg4HMC8kseO/vHNu77YcnWCzA5SLCqFvuI3zgaA5sXcPQaXcy+d6n2b0uhpAO3TBXVVGQm82xPVuxd3DAtaEH+dkZ1mEyU5P44pWnwGJh0KTb6Np/xI0IX/3rf79R7fFLBXlUlJfj5RdwzVN4eHjQpUsXWrVq9SuCiojcHAz89/dl4aVSvN3diDtxDoBGvp7cOa4/bVs0Yt+JcxxJTMXd1ZmS8gqaB/kS2jSQYT06ELMlnqYB3gT5eHDmfDrhrZtTVl5BXtHl5tiLN8exevcRIjuEkFdUjLurM7mFxWw7dIrx/bpy9/gBODs5WnMs336Q524fy6SB4dbHRvXqRNvmjaplOJKYWm08gMgOrXhg8hCCA/9bULdw+X2raYA304f2xICB7PwiHOztmT1hAP26hBHWNICRPTvSqsnl94Xth04zundnHp0xnO2HTgHQr3MYD08bxt7j56xjJ6Vl88ycBViwcNuo3te0muP771TnM3K5kJXH6l1H2H30DPmXSuga1oynbxtDSkYOB06lUFJWwdo9R1m/99hVzyEiIiIiInWTVkSISK026pYHWPb523j5BWJn74BTgwbW77k29GDrMhPnE08A4N+kOau/+ZDAZi3pNmAUGxZ8hoNTAyKHR5Gfk4mDUwPSkk4z/s7HSDwaT3l5Gc1a//cGjX+T5jz57nzyszPZv3k1bp7edB88lpGz7v3JfId2bCDl1FHWzP03I2fdy+61MaScOsqWpXPpN24m25bPY9nnb9Gmay9KLhWyZ90SIkdE8e27f+fUwT30GDIegE3RXzJ48u0AFBcVEBv9FedOHOTM0XhadQj/yflFROqCxZvj2HfiHBezL2/N9M6C9QCcSLpIt9bBVFZVAXAxO9+6IuL2UX0Ib9OckvIKWjUJwMnRgbLyClbuOMSkgeEkpmbi3MCJVk0DiY0/gaODPafPp+Pu6mxdgVFWXkGQryel5ZW0a9GIvp1C+TA6lvTsAkrKyq35xvTpzMtfrsTe3oCb8+X3ITuDAV/PhtUydAxpUm28H7Nw4z5S0nOA6kUXX8+GVJnNfLx0C+1bNKJVkwCWbNuPl/vl1Ql9O4fy5ry1xJ9Mol+XMK4M8APNg3wxvXAfmbmFrN51GG93N8b06cw9UYN+8vqHNg1gzuKNODs54tXQlQ+jN3HfpMG8dN8UktKyWRTrhGsDJw4npvLB4k34e7kT3qY54W2as/VgAuk5BVf3Fy0iIiIiInWWwWK58lFhEZFaIj4+noiICF6av1XNqr/n7LEDPDejP3FxcYSHqzghIrXXd7/nN895ulY0q87KK2T5jkOcvZDJtCE96BjSxNaRbloHTiUz8IF/6r1KRERERKSe0YoIEREREZFfwc/Lnd+P6WvrGCIiIiIiIjctFSJEpN5bOOclhk2/Cy+/wBqdZ+syE7mZaRTkZHLLE//AcKX/w/x3XsDT15+igjym3v8sAKu+nkNq4knu/svbNZpJRER+nZe/XMGd4/oR6ONZo/PMW7ebtJwCMvMK+fs9k6zvIS9+vgx/r4bkFRXzzG1jeX/RRgwGyC8q4dnbx/JRTCyrdx9h8csP1mg+ERERERGRn6NChIjUeQkHdhO3aQUNXNzo1HswB7evp6GnDxfPnWLYjLu5cO4UO1cvoveoKbzx6CxGzLwHgNzMi+RmpDHx7ieY/87ztO7ai4zz5+g/wciqr+Zw55/eYP47f2Ps7x6ioacPAFuWzqUoP9c697Dpd+HUwPlyjoN7uOtPb7L+289ITjhC8zadAMhOO8+Mh//CW0/cTnFhPnvWL6VL32GkJp78bS+UiIj8wJ5jiazYcQg35wYMDm/L+n3H8PFw41RKOneN78+plHQWx8YzeVA4t/7tY2ZPGABc7leRlp3P4zNH8rfPltKrQwjn0rIwDotkzuJNvP7wDF74bCkPTh2Kj4cbAKZ1u8ktvGSd+85x/a1NsfccP8sbD8/ks+VbOZKYSqdWTQE4n5HDn+8Yz+9e/IT8SyWcSc3gjYdn8vynS8grKuaeqEEcO3fxN75qIiIiIiIi1akQISJ13vaVCwgOa4+dgwMXk04DEDkiiszUJM4e20/jFmH0HjUFL79AmoW2p9+4GXz698e4609vcnTPFo7v24bZbGbAxFu4eC6Bg9vW0657X/ZuWIrBYGctQlyv8IGjWTvvY4oL87Gztyfx6H6KiwpIOXWU7LRUfIO017iIiK0s2LiP9i0b42Bvx+nUDAAm9u9Gcno2B06lENYskMmDwgn08aRdi8ZMH9qTx9+ZxxsPz2TLgQS2HTqFxWJm1ohITqVksH7fMfp0DmXZtgPY2RmsRYjrNapXJz5euoX8ohLs7f7bnfpH+lSLiIiIiIjYjAoRIlLn9R0zlaN7ttLQ05uWXbqScf4cBoMBg8GAxWymSUgbNi76gkGTbsNgZwdAu4i+LPv8LeuKiEM71rN+/idcTDrN8Bl3E9Q8lD8ZB/HkO/OqzTVgwqyfzNG6S0+Wff4WBTmZDJ12B6u/+YBRt9yPxWKhvKyE3qMm4+zakDv/9AYAF84mqAghImJjUwd3Z8uBBLw9XOkS2oxzF7MwGMCAAbPZTOvgIL5ctYNbR/bG7sp2SX06hfL2t+usKyI27DvOp8u2cvp8BndPGECrJv4MfvBfmF64t9pcxuGRP5mjZ7uWvP3tOjLzCrljbD8+jN7EfZMGY8FCaVk5kwdF0NDFmdCmAcxZvBFnJ0e8GroSsyWeY2cvYFq3+2fHFxERERERqUkGi8VisXUIEZFrER8fT0REBC/N30rL9l1/kzk/eeGRav0a9m1aQeqZE0y8+4nfZP6rcfbYAZ6b0Z+4uDjCw8NtHUdE5Lp993t+85yn6RoWbOs4v9qjb5l461Gj9XjljkOcSE7j8ZkjbJjKNg6cSmbgA//Ue5WIiIiISD2jFREiIlfhf5tGdx88lu6Dx9oojYiI1CbfL0IAjOnTmTF9OtsojYiIiIiIyG/PztYBRERqk8zUJJZ88voNGWvxv1/lnT/+3nqcn53Jy/dGcergnhsyvoiI3FyS0rJ5Y97aXz1ORWUVcxZv5N0F65ny3Pu/eCwiIiIiImJrWhEhIvXGuvmfUFVZgW9QEzr0HMiWpSay08/TY8h4KivK2bLkG9y9fXFq4IKjszNuHt507TuMz196gj6jp5GTnkrvUVMASDiwm7hNK2jg4kan3oM5uncLLq7uNG7Zmk69BwOQl5XOjlULrfMHNG1RbRXF5Huf4pMXHgGgvLSEDQs/p9eoyb/hFRERkav1ybItVFZW0cTfmwHd2jBv3W7OZ+Yyvm8XyioqMa3djY+nGy5OTjg3uNyfYViP9vzxvW+ZOjiC1Mw8Jg+KAGDPsURW7DiEm3MDBoe3ZcvBBNxdGhAWHMTg8LYApOfksyg2zjp/iyA/6yoKRwd7Hpg8hJgt8dwxtt8vHouIiIiIiNiaVkSISL0R0qEb5qoqCnKzKSstwWyuwjewKUd2xQLQIXIgo297ELO5iqi7nyTp+MErzwun37gZZF5MsY61feUCApq2wDuwEReTTtOqQwRVlRUU5edeV7YjezZf/rozlgPb1v26FyoiIjdct9bNqTJbyC64RElpOVVmM039vYmNPwnAgK6t+cPkIVSZzTxhHMmhMylXnhfM9KE9ScnIsY61YOM+WjTyo5GfJ6dTMwhv05yKKjO5hZeuKdPqXUcY07vTVR+LiIiIiIjYilZEiEi9kZ+TiYNTA9KSTpOZmkRleRlOzi6YzVUA2Ds4Ymdnh72D4+UnGAwAnDkcx1rTR3j5BlrH6jtmKkf3bKWhpzctu3TlwtkEHByduHjulPUcL79Axtz2h5/Msyn6S1JOHWXvhmX0GDqe8AGj2BzzNY1btq6BVy8iIr9GVl4hTo4OnD6fTnKLRpSVV+LSwJEqsxkABwd77OwMODrYA2Dg8ntI3IlzfLxkM4HeHtaxpg7uzpYDCXh7uNIltBkJKek4OdhzOiXDek6gjycPTB7yk3n2JyTTJbQZdnZ2V3UsIiIiIiJiSwaLxWKxdQgRkWsRHx9PREQEL83fSsv2XWt0rszUJHasWsjEu5+o0XluhLPHDvDcjP7ExcURHh5u6zgiItftu9/zm+c8TdewYFvHuW5Jadksio3j8ZkjbB3lpnHgVDIDH/in3qtEREREROoZfURKRORn+DdpXiuKECIicvNpHuSrIoSIiIiIiAgqRIiIWH3XOPpGePHOMWReSGbhnJeI+eQ1Ni3+4kfPW/7FO6z86n2+fu05LBYLCQd28d4zd9+wHCIicn0efct0w8Ya9+RbJKdn8/KXK3jdtIYvV+0AIDb+BO8sWM8T78ynvKKS1bsOM/aJt0jPya/2/PcXbWTO4o28/OWKHx3/ddMa/vnVSl79ehUAZrOZ//twEW/MWwvAZ8u38u6C9cRsibc+57tz3pq/jvnr91BcWs6Dr3/D3mNnb9jrFhERERER+Y4KESJSb3zzxp8oLS4ifstq4mJXcmDbOlZ+9T6mN/9iPSczNYkln7wOXC5MVJSX8cU/n2b1Nx+w4ot3reeVlRSz8qv3rX+2LptXba5GLcLwbxyMu5cv9vYOlJWU/Gim5JNHGHPbHzAYDCQnHKF11144u7rVwKsXEZHv+/PH0RSVlLJm9xFW7TzM+r1HmbN4I3/9JMZ6TlJatvVm/qNvmSgrr+CZOQv5MHoT7y3cYD2vuLScOYs3Wv/MX7+n2lyhTQMJDvTF18MNB3s7SsrKARgU3haz2UJ2QRH2dnaM6tWJfl3CfpD1TGoGD0weQllFJXlFxT/4/hPGkTw8fRjnLmYBMGfxJiYPigCgsLiUpVsP4OLshOFK7yOAI4mphDYL5NEZw9l19Ayuzk707hhynVdTRERERETk56kQISL1Rv9xRrYum8f+LWvoNmAUJUUFuLg15Ozxg/89yWDAwpXWORYLyaeOcqkgFxc3d4ryc695zpGz7mX8HY9SWVlOauIJystKMV9pbArQb9xM1sz9N5mpyTg4Ov7alygiIldp5rCezFu/hzW7jzAysgP5l0pp6OLMwVMp1nMMBviunZoFC0fPXiCvqBh3V2dyC39YEPgl90QN4pHpwymvqORkUhoAj84YzsBubbiQnfeLz/+ujFBcWl7t8fxLJfzl4xie+904zmfkciErj9W7jrD76BnyiopxdnLk7vED2Bh3vPp4VwoT3y9QiIiIiIiI1AQHWwcQEfmtBLfuwLLP36Jluy7Y2dmRnHCUJiFtqKqssJ7j7R9E2rnT7Fy9iML8HILDOuDt34jy8jKahbW3ntfAxZUxt/3hF+fcuXoR6SmJZKel4t+kBYs/fIUJdz6Gq7snABaLmYqKMkK79KBJSNsb/6JFRORHdWjZhLfnr6NLWDB2dnYcO3uBNsGBVFZVWc8J8vHkzPkMFsXGkVNwiQ4tGxPk60lpeSXtWjSynufq7MQDk4f84pyLYuM4eyGT1Mxcmjfy5avVO8gpuMTp8xlMG9KdvcfOsvf4Wezt7Hhw6lC+XLWd+yYNJrRpAHMWb8TZyRGvhq488c58Xn94hnXciU+9w4ieHVi/7xi/H9OXl+6bcqVRthPNAnzo1KopH0ZvopHv5feeD6M3cc/EgczfsJe3v11Hrw5aCSEiIiIiIjXLYPnuY14iIrVEfHw8ERERvDR/Ky3bd7V1nB/15T+fYfRtD+DfOLja47mZaXj7B/3k8xIO7CLhwG7G/f7a+1WcPXaA52b0Jy4ujvDw8Gt+vojIzeK73/Ob5zxN17DgX37CTe7ZDxZy/+TBBAf63pDx0rLzCbpSVLhRikvLeXfBeqYMjiC0aeANHfv7DpxKZuAD/9R7lYiIiIhIPaOtmUSkXriRjai/s3DOSyz+8J+s+OJdFrz/D8xVVdZeEbc//Uq1IsR38/9YEeL7fSlad+11XUUIERG5sW5ks+qX759KcKAvL3+5wjruL40/5bn3+WDxJv71zWqWbj0AYO098f0ixDdrdv5sg+mXv1zxg+bXP8bV2YmnbxtTo0UIERERERGpv7Q1k4jUSSf37+TQjo14+vgzaPLtABQX5rNlqYns9PP0GDKevKw0Lp47jU9gY9pG9GXll+/RuGVr+o6djmtDDwD2blhG5oVk67h9x0zH09ffejxk6u/x8gtk97olHNqxgZP7d9J//Ew2Lf6Cwtxs3Dy8GDrtTpJOHmLdt5+SnnyGGQ//lblv/oXApi2oqqykaWg7zh47wIn4HaSeOUFxUQEFuVlMvOsJvn33RZqFtad9j37auklEpAbtOnKGjXHH8fdy57bRfYDLvRfmrdvN+cxcxvftQlp2AadTM2js60mfzqG8v3AjYcGBTB/SAw83FwCWbz9Icnq2ddxpg3vg7+1uPW7i7822g6esx69+vQpvd1eSM3J44e4oa7+GZgE+3D95MAAPvv4NE/p3ZeeRM/TpHMqqHYc4dT6DB6Zc3g4qeks8mw+cJKxZII18PVmx4xBuzg0YHN6WUynpLI6NZ2zfzsxZtIkWjXyprDIT2T6ElTsP0djfm9kTBtTsxRURERERkXpPKyJEpE7auXoxk+99mhHGe3Bq4AxAWWkJZnMVvoFNObIrluDWHbF3cKAgJwtP3wB8GzXlUkEuleVl1zfplZtHZrOZspJiPHz8Obl/FwCNWoQxfPpd2NnZc+bwvmoNsBu3CKNl+660De/D/i1r8PD2w93Ll8zUJFp1DKfkUiGlxZduyHUREZEft3hzHE/dOprZEwfi7OQIQElpOVVmM039vYmNP0mHkMY42NuRlV9EgLcHTQO8ySsspryi8qrnuW1Ub+Zv2EPFlV4UaTn5zJ44EBcnR7Lzi37x+SVXGlV7u7uy+8gZAEb16sSTs0YRG3+CBRv30aKRH438PDmdmkFYs0AmDwonK6+oWqPtlo398HJ3pbC4lNLyip+bUkRERERE5FfTiggRqZN6j5rM4n//Ey+/QAZG3Qpc3gKpsrwMJ2cXzOYq8jLTcHJ2JeX0MXIzLuDk5Ex+VjqFeTl4+Fxe9dBj6PifnWfjwv/QwMWV4qICptz3DPs2Lqe8tJjM1CRatOtK5ZVG2BfOnmLdt59SVVlBq07d2b91rbUBtru3L6lnT3J0zxa6DxlHyaVCnF0b4h3QmBPxO7CzsyMt6QytOkbU7EUTEanHJg+M4NWvVxHg48GtI3sDkJyeTVl5JS4NHKkym0nPKcClgRPHz13gQlYezk6OpOcWkFNwCT+vy6sexvXt8rPzGAxwb9QgJj79DnC5IfbHSzZTUl5hHQMgJSOHDxZvoqikjBE9O1gfP550EQcHe8wWC1VmMwCrdx1m99FEBnRtQ2M/L7YcSMDbw5Uuoc1wcnTgy1U7mDGsZ7VG2xey8nB1bkBCchrFpWXW4ouIiIiIiEhNULNqEal1akOzaltQs2oRqSvqWrNq+S81qxYRERERqZ+0NZOIiIiIiIiIiIiIiNQYFSJERERERERERERERKTGqEeEiNRaqYknbR3hpqLrISJ1TUJymq0jyA2mv1MRERERkfpJhQgRqXX8/PxwcXXl/WfvtnWUm46Lqyt+fn62jiEi8qu4urri3KABs1/5wtZRpAa4urrovUpEREREpJ5Rs2oRqZWSk5PJysr6VWOUl5dz//33c+7cOb788kuaNGlyg9JdnW3btvHoo48ya9YsHn/88Rsypp+fH8HBauwqIrVPZmYmy5YtIyYmhnXr1lFaWkpoaCiDBg1i0KBBtG3bFoPBYOuYco0uXbrEzp07iY2NZevWrRQVFdGkSROmTp1KVFQU/fr1w8FBn40SEREREanrVIgQkXrJYrFw++23s2DBAjZt2kTv3r1tkuO9997joYce4oMPPuC+++6zSQYREVtJTExkyZIlxMTEsG3bNiwWC3379mXSpElMnDiRVq1a2Tqi3EAVFRVs3ryZmJgYYmJiSE1NxdfXl/HjxxMVFcXw4cNxdXW1dUwREREREakBKkSISL304osv8pe//IV58+YxY8YMm2Z5+OGHmTNnDitXrmTEiBE2zSIiUpMsFgsHDhyw3og+dOgQDRo0YPjw4URFRTF+/HgCAgJsHVN+A2azmbi4OOvPwrFjx3BxcWHkyJFERUUxbtw4fH19bR1TRERERERuEBUiRKTeMZlMzJo1ixdffJE//elPto5DZWUlEydOZNu2bezYsYMOHTrYOpKIyA1TWVnJtm3brDeck5KS8PLyYty4cURFRTFy5EgaNmxo65hiYwkJCSxZsoTo6Gh27dqFnZ0d/fv3t66Oad68ua0jioiIiIjIr6BChIjUKzt27GDIkCFMnz6dL7744qbZb7ywsJC+fftSUFDA7t27CQwMtHUkEZHrVlxczNq1a4mJiWHZsmXk5OTQpEkToqKiiIqKYuDAgTg6Oto6ptykLl68aO0XsmHDBsrLy+nWrZv156dTp043zfu3iIiIiIhcHRUiRKTeSExMpFevXrRt25Z169bRoEEDW0eqJjk5mcjISFq0aMHGjRtxcXGxdSQRkauWnZ3N8uXLiYmJYc2aNZSUlNC+fXsmTZpEVFQUERERunks16ygoIDVq1cTHR3NihUrKCwsJCQkxFqU6NOnD/b29raOKSIiIiIiv0CFCBGpF/Ly8ujTpw8VFRXs2rXrpt13eu/evQwcOJAJEyYwd+5c7OzsbB1JROQnJSUlWbdc2rp1K2azmd69exMVFcXEiRNp3bq1rSNKHVJWVkZsbCwxMTEsWbKEixcv4ufnx4QJE4iKimLYsGEq4ouIiIiI3KRUiBCROq+iooIxY8YQFxfHzp07adOmja0j/azFixczZcoU/vSnP/Hiiy/aOo6IiJXFYuHw4cPW4sP+/ftxcnJi6NChTJo0ifHjxxMUFGTrmFIPmM1m9u7dS0xMDNHR0Zw8eRI3NzdGjRpFVFQUY8eOxdvb29YxRURERETkChUiRKROs1gs3HvvvXz++eesXbuWwYMH2zrSVXn11Vd5+umn+eKLL7j99tttHUdE6rGqqiq2b99uLT6cPXsWDw8Pxo4dS1RUFKNGjcLDw8PWMaWeO3HihPVndPfu3djb2zNo0CDr6pxmzZrZOqKIiIiISL2mQoSI1Gmvv/46Tz75JJ999hl33HGHreNcNYvFwuzZs/nyyy9Zv349AwYMsHUkEalHSkpKWL9+PTExMSxdupSsrCwaNWpk3Zd/0KBBODk52TqmyI+6cOECS5cuJTo6mo0bN1JZWUn37t2tP7/t27dXvxIRERERkd+YChEiUmfFxMQwefJknnnmGV566SVbx7lm5eXljB49mgMHDrBr1y7CwsJsHUlE6rDc3Fxrs+nVq1dTXFxM27ZtrTdve/Toob41Uuvk5eWxatUqYmJiWLlyJUVFRYSGhlp/rnv16qVm1yIiIiIivwEVIkSkToqLi2PAgAGMGTOG+fPn19qbZ7m5ufTu3Ruz2cyuXbvw8fGxdSQRqUNSUlJYsmQJMTExxMbGUlVVRWRkJJMmTWLixIm0bdvW1hFFbpiysjI2btxIdHQ0S5YsISMjg8DAQGuz6yFDhuDs7GzrmCIiIiIidZIKESJS55w/f56ePXvSrFkzYmNjcXFxsXWkX+XMmTNERkbSsWNH1q5dq+1QROS6WSwWjh49at1LPy4uDkdHR4YMGUJUVBQTJkygcePGto4pUuOqqqrYvXu3tdn16dOnadiwIaNHjyYqKooxY8bg5eVl65giIiIiInWGChEiUqcUFRXRr18/8vLy2L17N4GBgbaOdENs27aNoUOHYjQa+fzzz7W3tYhctaqqKnbt2mUtPnx3w3XMmDFMmjSJ0aNH4+npaeuYIjZjsVg4fvy4tSixb98+HBwcqhXomjRpYuuYIiIiIiK1mgoRIlJnVFVVERUVxebNm9mxYwcdO3a0daQb6ptvvuHWW2/lpZde4tlnn7V1HBG5iZWWlrJhwwZrs+nvtqCZOHGidQuaBg0a2DqmyE0pJSWFpUuXWrcsq6yspGfPnta+Eu3atbN1RBERERGRWkeFCBGpMx577DHeffddVqxYwciRI20dp0Y8//zz/O1vf+Pbb79l2rRpto4jIjeRvLw8Vq5cSUxMDKtWraKoqIiwsDAmTZpEVFQUkZGRtbZfjoit5ObmsnLlSqKjo1m9ejWXLl2iTZs21qJEz5499e9KREREROQqqBAhInXCnDlz+MMf/sCcOXO4//77bR2nxlgsFm655Raio6OJjY0lMjLS1pFExIZSU1OtzaY3bdpEZWUlPXr0qPbJbW3lJnJjlJSUVFtplJmZSVBQULWVRurjJCIiIiLy41SIEJFab/Xq1YwbN46HHnqIN99809ZxalxpaSlDhw7l9OnT7N69mxYtWtg6koj8RiwWCydOnLD2e9izZw8ODg4MHjzYupd906ZNbR1TpM6rqqpi586dREdHExMTQ2JiIh4eHowZM4aoqChGjx6Nh4eHrWOKiIiIiNw0VIgQkVrt8OHD9O3bl4EDBxITE4O9vb2tI/0mMjMziYyMxNXVle3bt6vRrEgdZjab2b17t7X4kJCQgJubG6NHjyYqKooxY8bg7e1t65gi9ZbFYuHIkSPWf6Px8fE4OjoydOhQoqKimDhxIkFBQbaOKSIiIiJiUypEiEitlZaWRmRkJD4+PmzdupWGDRvaOtJv6vjx4/Tu3ZtevXqxfPlyHBwcbB1JRG6QsrIyNm3aRExMDEuWLCEtLQ1/f3/rFjBDhw7F2dnZ1jFF5EckJSWxdOlSoqOj2bJlC2azmV69elm3TGvdurWtI4qIiIiI/OZUiBCRWqm4uJjBgweTkpLCnj176u1WJBs2bGDUqFHMnj2b999/X3vBi9Ri+fn5rFq1ipiYGFauXElhYSEhISHWZtO9e/euN6u+ROqK7OxsVqxYQUxMDKtXr6akpIR27doRFRXFpEmTiIiIULNrEREREakXVIgQkVrHbDYzY8YMVq5cyZYtW4iIiLB1JJv6+OOPueeee3jrrbd45JFHbB1HRK7BxYsXWbp0KTExMWzYsIGKigrCw8OtxYcOHTqowChSRxQXF7N+/Xqio6NZtmwZ2dnZNGnSxLrSaeDAgWp2LSIiIiJ1lgoRIlLrPPfcc7zyyissXryYqKgoW8e5KTz11FO89tprLFmyhPHjx9s6joj8jJMnT1r3kt+1axf29vYMHDjQupd8cHCwrSOKSA2rrKxk+/btxMTEEB0dTVJSEp6enowdO5aoqChGjRqFu7u7rWOKiIiIiNwwKkSISK3y+eefc+edd/Laa6/xxBNP2DrOTcNsNjNlyhTWrVvH1q1b6datm60jicgVZrOZffv2WYsPx48fx8XFhVGjRjFp0iTGjh2Lj4+PrWOKiI1YLBYOHTpEdHQ0MTExHDx4kAYNGjBs2DCioqIYP348gYGBto4pIiIiIvKrqBAhIrXGpk2bGDFiBHfeeScffvihtiv5H5cuXWLgwIGkpaWxe/dumjRpYutIIvVWeXk5sbGx1mbTFy5cwNfXlwkTJhAVFcWwYcNwdXW1dUwRuQmdPXuWJUuWEBMTw9atW7FYLPTp08fa7Do0NNTWEUVERERErpkKESJSK5w8eZLevXsTERHBypUrcXR0tHWkm9KFCxeIjIzE39+fLVu20LBhQ1tHEqk3CgsLWb16NTExMaxYsYL8/HxatGhh7ffQp08fHBwcbB1TRGqRrKwsli1bRkxMDGvXrqW0tJSOHTtaixLh4eH6YIaIiIiI1AoqRIjITS8rK4tevXrh5OTEjh078PLysnWkm9rBgwfp168fQ4YMYfHixdjb29s6kkidlZ6ebm02vX79esrLy+natav1JmHnzp11k1BEbohLly6xdu1aYmJiWLZsGbm5uTRr1oyJEycyadIk+vfvrw9qiIiIiMhNS4UIEbmplZWVMXz4cE6cOMHu3btp2bKlrSPVCitWrGDChAk89thjvPbaa7aOI1KnnD592trvYceOHRgMBgYMGGBtNt2iRQtbRxSROq6iooJt27ZZ+0qkpKTg7e3NuHHjiIqKYuTIkbi5udk6poiIiIiIlQoRInJTOnjwIK+//joA3377LRs3bqRPnz42TlW7vPPOOzzyyCN8+OGH3HvvvbaOI1JrWSwW4uLirMWHo0eP4uzszMiRI4mKimLcuHH4+fnZOqaI1FMWi4X9+/dbf0cdPnwYZ2dnhg8fbm127e/vb+uYIiIiIlLPqRAhIjelxx9/nM8++4z8/Hw++ugjZs+ebetItY7FYuGhhx7iww8/ZNWqVQwfPtzWkURqjYqKCrZs2WK9sXf+/Hl8fHwYP348UVFRDB8+XJ82FpGb0pkzZ6y/u7Zv347BYKBfv37WLeO0ulREREREbEGFCBG5KYWEhHD27FlcXV3p2LEju3fvtnWkWqmyspLx48ezY8cOdu7cSfv27W0dSeSmYbFYqvVvKCoqYs2aNcTExLB8+XLy8vIIDg623rzr37+/mk2LSK2SkZFhbXa9bt06ysrK6Ny5M1FRUUyaNIkuXbpYfw/+7+9EEREREZEbSYUIEbnpmM1m7O3tcXR05P777+eRRx4hJCTE1rFqrYKCAvr27UtRURHjxo0jLCyMhx9+2NaxRGxq/vz5PPTQQ2zatIndu3cTHR1tvUnXqVMnJk2aRFRUFF27dtWNORGpE74rtkZHR7N8+XLy8/Np3ry5tdi6bds2li9fzrJly7SVk4iIiIjccCpEiMhNaf369XTv3h0vLy9bR6kT4uLiGDlyJHZ2dgQFBXHo0CFbRxKxmX/96188/fTT+Pv7k5mZCWDdtmTixIm0atXKxglFRGpWRUUFmzdvtm7hlJqaiqenJ2VlZfj5+REbG6vfhSIiIiJyQ6kQISJSDzz99NO8+uqr1uOsrCx8fX1tmEjENpKSkmjRogUAnp6eDB48mH//+98EBATYNpiIiI1YLBaWL1/Ok08+yZkzZ6iqqiIsLIyEhARbRxMRERGROkQbHYvUccnJyWRlZdk6Ro3z8/MjODjY1jFuWi+++CKdO3fmb3/7G6dOnWL79u1MmDDB1rFuevXl309986c//YmSkhKys7MJCAhQEUJE6jWDwUCbNm3o1KkT48aNw97enm7duhEfH2/raFID9P+ZRURExFa0IkKkDktOTqZtu3aUFBfbOkqNc3F15cTx4/oPq6uQmJhIy5Ytte/9L0hOTqZdu7YUF5fYOorUAFdXF44fP6HfGSIi36P3vrpP738iIiJiK1oRIVKHZWVlUVJczMTn/o1vcGtbx6kx2ckJLHnpXrKysvQfVVdBjb+vTlZWFsXFJfz78Wm0aaamnXXJyZRM7n1jgX5niIj8j+/e+z7920O0adHE1nHkBjt5LpW7/vqu3v9ERETEJlSIEKkHfINb06h1F1vHkF9BWwT90G+1tUCbZv50aaWbMSIiUn+0adGErm31wQURERERuXFUiBCp5/Yv/4LcC+cYcs9fr3sMc1UldvY//+tkw4d/oaFvIJnnTjDuj+9aH5//nJGW4QNo3C6Cph168tWj42jTbywtIwbh6OLGuvf/j+Zd+tB2wHg8Apped8baLDk5mXZt21BcUmrrKDcVVxdnjp84+ZsUI+ZuiOfI2Ys0D/TmQnYBT80cwuaDZ+jXqSUers7Vzn1sTgxvPhD1k2P90ve/P19xWQV3jupJ51aNf3KsP986grhTKQyPaHOtLwuA5PRcnvpoGQM7t6JX++Z0C7v6f2dzN8QT1sSPHm2Dmb/pADMGd72uDJVVVTjY2//sOXOWbMcA5F8q5ZlZQ62Pm81m/vL5anw93Xhs6kA+X72H0rIKFm09xPrX7ueNBZuprKrCAPxx5pDryiciUl99vTyWw6fO0bxxABczc3jmrqnE7j1C//D2eDR0rXbuw698xDvP3POTY/3S978/X3FpOXdPHk6XNi1/cqy/3m8k7uhpRvTpdu0vDEi6kMGTr3/GoO6d6N21LeHtWl31c79eHkvr5o3p2ak181ZtYeboAdeVobKyCgeHn3//e8+0HAMG8oou8X+zp1sf/3TxOkrLylmwbjsbP/k7z7z1Jc0b+WOwM/DAjDF8syKW9Ow8KiqrePrOKdeVT0RERORGUiFCpB6zWCxcys0kIKQ9OamJOLm4se2r1wkIaU/Sga2MfPhfbP3yVbwbt6CBqztdRt9ifW5eWjJn9mygvLgQ/5btCI0czt7oj7FUVQJg5+hE94l3fW8uM2XFRTRwda+WoaFvIBVlJXClXU1D3yDKSoow2NlhZ2+Pm7ffleOf/4+0uiwrK4viklLenRJKmJ+LrePcFE5llfDQotO/6dYCk/p1okfbYA6cTmXexv1k5hUR0bopG+JPkZqZT0VVFY9NHci5izl8vnoPx86l8Y+7xvCKaSOB3g3JKSxm6oAunE7NYn1cAmUVlRw9l0ZZRSW3De/OF2v20sTfk65XVl9M6tcJg8HAjqPnMG3cT4sgbyqrzEwb2JXXF8TSuqk/+UWlFJWUceRsGk4ODmw7nIijgz2ODvYEertzOjWLoeFhbIg/Zc3w+LRBPP+fNdbxxvfuYH2Nvp5u1kLJd1+nPv8fpg/qyo6j53jrD1G88OVaGvt50C44kFPnMzl7MRtfDzd2HT/H4K6hvLVoM4He7jQL8CLAqyGLth4ipJEvvh5uzBoabp0rOT2X9fEJFBaX0b5FIMMj2vDR8p1UVZkBcHS05+4xvaznn7mQxev3T+RvX6whv6gEz4aX/y18sHQHk/p3YsuhRADuGNWTA6dTrT1QHp82kJKyCp78cGnN/oCIiNRRU4b1oWen1uw/nsjclVvIyMmje4dQ1u06QGp6NhWVVTzxuyjOpqbz6eJ1HD2TzCuP/o6XPv6WAF8vcvKLmD6yH6eSLrJu5wFKy8s5ciqZsooKfjdhCP+J2UCTQF+6XVmBMWVYHwwGA9v2H+ebFZtp0SSAqioz00f241//WUybFk3JK7xE0aUSDp9KwtHRga1xR3F0cMDJ0YFAXy9OJ19gWO+urN95wJrhj7+fxJ/f+8Y63oRBPa2v0c/Lw1oo+e7rpEdfYuao/mzbf5x3n72H5+fMpXGAL+1CmnEq6QKJ59Pw9fJgx8ETDO7ZmTe+jCHIz5tmQf4E+HiycN12WjUNwtfLg1vHDbLOlXQhg3W7DlB4qYQOrYIZ0acbHy5YTVVlFQCOjg7cM3Wk9fzTKWm89dTd/PX9ueQVXsLL3Q2AuyYPZ//xRDAYyC28hMEAfzCOZcJDf+eBGWMY1qsr75mW08DJ6Tf4KRERERH5ZSpEiNRjp3etpaQwF3tHJw6vnYd/y3a0GziB5l37kXpsL0kHtmLv4EADNw8u5WRYn5eXlsza956lVY+hdBl9C66evr84l3NDL/rd9iSbPn6B4vwcXD19ABj7xFsALP/XQzTtGMmkP3+CuaqS1W//kTGPv8mYx9+kOD+HXfPfYcg9z9fEZag1wvxc6NS4oa1jCPD9Pt+FxaV4u7uwes8JAIJ8PLhjVE8+XbmbfQnnOXLuIqFNOpGaVUDzQG9Cm/gxLKI1s1//lsFdQykqKeN0ahbhYU1Jzsgl/9LllS/R2w7j5uzEmMh2HDxzAXfXRiRezGb70bOM792efp1C2HcyxZpj+c6j/POecZy+kM2KXccAGNmjDaFN/Hh78RZrhiNnL5JXVGIdDyCyXXPun9i32mu8Uhukqb8X0wd1Zeexc2QXXMLB3s5aIEhKzyWsiR8hjS//Dthx9Cyje7ajf+cQnvhgCZP6daJvh5ZMHdiFx+bEWAsRyem5PPPxcoaGt+bW4RH4erhdw7X/78U/n5nHhewC1uw9yaHECxQUl+Lh6sxX6/bx199dvomTf6mUf3y9jme/t4pCRESuT7X3v0sleHs0ZOW2OAAa+Xlz1+ThfLxoLXuPnOLwqSQmBTfmQkYOLRoHENa8EcN7d+XOv7zDkJ6dKSop5XTyRcLbtyL5Yib5RZcAWLR+B24uzowb2IODJxPxcGvBmfNpbNt/jAmDIhkQ0YG9RxKsOZbF7uG1J+7gVPJFlm/eC8CofhGEBjfizS+XWDMcPpVEXmGRdTyAXp3b8gfj2Gqv0fr+F+jHjFH92X7gOFl5Bdjb21sLBEkXMmjdvDGtmgUBsP3Accb0787A7h159NVPmDy0N/26tWf6yH48/MpH1kJE0oUMnnrjPwzr3ZXbxg/Gz8vjuq79d75YtpEXHpiFR0NX2rcK5t8LVmNvbwdAoK8XLz54K3/7cN5VzyEiIiJSk1SIEKnHTu1aw5jH3gBg08cv0KRtd3bOf5ec82eoqiinedd+XDx5gMryMvxD2luf5xUUzPS/f8Ol3ExO7VyDi7s3rfuOpsek2T8516W8LPYs+pCKsmJc3L3Yu/jfdBv3O3YvmENFWQlBrbtSmJ3G4TXzKCnMpWX4QLKSTpKwYzWFWRdpN2BCjV+P+ub1TSnc1j2QAPea/aTcwoOZZBSWk3Wpgj+PaG69kfzRjgsYDAYKSit5YnCzGs1wI0RvO0xcwnku5lzemundxVsBOJGcQdfQJlRUXf4kY1pOweUVEUlp3DY8gvDQppSUVdCqsS9Ojg6UlVeycvdxJvXtSOLFHJwbOBDaxI/YA6dxdLDndGom7q7O1hUYZRWVBPm4U1peQbvgQPp0aMG/l+0kLaeQ0vIKa74xke15xbQRezsDbs4NALAzGPD1cKuWoWPLRtXG+zELNx/kfEYeUP3Gh6+HG1VmM5+s3EW74EBCGvmydOdRvK6sTujToSVvLdpM/Knz9OsUcuX5P7xzEhzozdw/3UZmXhFr9p7Eq6ELYyLbcc+43j95/UMb+/HBku04Ozng2dCFfy/bwb3j+/CPu8aQnJ7Loq2OeLg6k5ZTgJtzA+uWWZP+/BnDu7dmQ/wpfjeyx9X8VYuIyPcsWr+DvUdPk5Z1eWumt76+vMLseGIK4e1aUVl5eTXsxaxc64qI300YQnj7VpSUldOqWdCV978KVmzZx+ShvUk8n4ZzAydCgxuxac9hHBzsSUi6gIebq3UFRll5BY38fCgtL6d9SDP6dWvPB/NXkpaVS0lZuTXfuAE9+MfHC7C3t6Ohy+Xf/XYGA35eHtUydAprXm28H/Ptmm2kpGUC1d///Lw8qDKb+WjhGtq3akarZkEs2bQbL4/LHxDp27Udb3wZQ/zxM/QPb3/l+T98/2veOID5rz1FRk4+q7fF4+3RkLEDunPftFE/ef3DmjXifdMKGjg54eXuxpz5K3lgxhjSsnJp6OJs3SLLYrFQUlrO7yYMwWw288/PFuPoYI/FbL6qv2cRERGRmmawWL77zIeI1DXx8fFERERw54ebrrpZ9YFVX1NWlI+rlz+dhk//5SfcBC4mHOSz+wYTFxdHeHj4Lz+hlvnu73H1vZ2uaUXEvpRC1p7IwcXRngGtPIk9nYe3iwNnsku4vUcQb28+T3hTdyZ09OXu+Sf5fc/Ln+pLLygnrbCCh/o34ZUNyfQIdicpp5SpXf35ZOdFXhoXwivrk7m3TyO8XR0BWHAgk7ySSuvct3UPxNnx8ifynl2eyMvjQvhqbzrhzRrSIcit2uMvr0vigX5N8HS5+tr44QtFjPr34Rr9O//uuse++UCtaFadlX+JFbuOcTYth6kDutCxZZCtI920Dp5JZdBjc+rs7wwRkev13Xvfti9eqTXNqjNzC1i+eQ9nU9OZPqIfHcOa2zrSTevAiUT6/e4Zvf+JiIiITWhFhIhU03X0rbaOIDdIzKEs2ga64mBnIDH78nY/Yzv4kpJXxqELl2jl58KEjr4EuDvRNsCVyZ39rcWB7Wfz2ZlUgNliYVoXf85klxB7Ko/IFh6sOp6NnQFrEeJX+7G9BuSa+Xm66RP/IiJS7/h7e3BH1DBbxxARERGRX6BChIhUs+U/rxA+4Q4a+vz4li03yuG18ynKSedSbiZD73vBunx9w4d/oaFvIJnnTjDuj++yN/pjTu9ag/GfCwHY9tVrZJ47zqQ/f1qj+eqCiZ382HE2Hy8XByKauZOcW4oBMABmi4VQfxfmxmcws1uA9fr3au7BB9tSrSsiNp/O48u96SRml3B7zyBCfJwZ+/FhPjO2qTbXtK7+P5kjopk7H2xLJetSBbd2D+DTXRe5q1cjQnxd+HjnRZwdDNe0GkJ+6JW5G7hjdE8Cvd1/+eRfYd6m/aTnFJKVf4kX7hhl/bn58+erCPJ250RyBu8+PJmZL37JwM6tiGjTjJ5tg/lo+U4ulZbj5uz0s9sviYiIXK1/fPwtd08eQaCvV43OY1q5hbTsXDJz8vnHw7dZ3/v+9uE8/L09yCu8xHN3TwPg/XkrOXnuPO88cw93/uUdItq1ok3LJgzr1bVGM4qIiIjUBrrzI1LPnD+6h4Ttq3B0cSUkYhBn9mzAxcOH7JTTREy4g+yU0xzbFE37wZNY+Jfb6R51NwCFWRcpyk6jz6zH2PTpizTrEEnuxXN0HjGTPYs+ZNQj/2LTp3+n17Q/4OLhDcChtfMo/X/27js8ivJr4/g3vfeeQBIgAUKvaUDoJfSWgIhYELGhYseuWLD9UBEQC4oiQkLvHUIJhN5JIAnpvbdN3X3/iCzmFakJm3I+18VlZnd25t5ddyeZM89zCnLV++42+nF09avn7k26dJzAl77i1KbfyIi9iEOrDgCoVErKSoowMK4+odpz3Awy4y6rt9H7kVfZOv/lB/JaNXQ9Xc3o6XrjxHQHp+opkezN9OnevOYJ689HVU+/MKajbY3bdbS1eMznxhQ/OyNzGNHOBidzgzvOMbFzzSLFdF8nAGb4Od3xNpq6Y5EJbI24jImBHv26eLDn1FWszY25mpTJE8N9uJqcxbqD5xnXpyOPfLaCJ4f7AJCWU0haTgGzJ/Zl7h878fFyIy4th8kDurJ4YzhfPT2auX/s5PmxvbEyq55jeuXe0+QWlqj3/XigN4b61aNfjkcm8PUzY/h1+zEuxKXRsUX1e6hSqihSlGFmXP3/haOVGSVlFVyf/XFAV0+WbAqn7X/0pBBCCCH+v4jzV9hy4DjGhgYM8O7ErqNnsLYw42p8Ck9OGMLV+BRW7wpn4mB/przxlbqRdGpmLqlZObzy6Dg+XPwXvp3acC05nSnD+7Jw5Rbmv/4kHyz+ixemjMLaonrKyxVbw8jNL1Lve/r4wRgaVPfQirhwhW9ef5Jf1u7iwtV4OrZ2ByApLYv3n57MI2/9j/yiEjbui2CwXxei4pIAcLSxpLyykvKKSoQQQgghBGhrOoAQ4sG6uGcNls5umNk6kZ0UA0DbvqPpMGgiqVfPYtPcg3b9x2Fq7YBdCy86DAoi8UIEfpNfwNM/kISzh1EplXQa+hAdBk4k5tgeXDv5EXlwM1paWuoixL0yNLUk4NE30NU3pCQ/pzaesrgP1wsU1w1pa83zfep/v4TGZnXYWdwdrHCyMScmJRuA0f7tCerXhbPRKXi62DKuT0ccrMxo52pPcL8uRFyO54XxfQj09uLwhWsolSoeGtCViX07s+fUVfzbu7P5yEW0tbTURYh7ZWlqxBsPDcRAT5ecghK+eX4crwT3Y/mukwB4uNjy5dOjSc0puO/XQgghRNMQsuMQ7s4OONtZE52YCsC4Ab5MGtaHM5GxeLo5M3GwPw42lni1bM6kYX04ci6Klx4ZzfA+PTh0+hJKpZKHR/QleGhvdh09Q6+u7di4/xjaWlrqIsS9CuzTnR9X7yC/sAQdbW1OXY5hV/hpLsUkkpyezacvTmP2I2PYHHa8Nl4OIYQQQogGT0ZECNHEtB8wnrgzhzAys8KxfWfyUuLQ0tJCS0sLlVKJrVtrzmz5g86BD6OlXV2rdO3kx5GV36lHRMSc2MvJjUvJSYqm++jpWDdrxdJnBxE0d3mNfXUaMvk/czRr15MjK7+jJC+LriMf5fjaJfQcP5PivCyOrfmBirISjMwsuRy2gczYS5zbuZJOQyZzZttyMmMvEXVoC216j6jT10rckJhbyoYL2fddhCguq+Lno6mUVymxN9XnUW9pqHwnJgR04uD5WKxMjencypm4tJzqzy3V02y1bm7HHztP8PCg7mhpV08Z4d++Bd+tPageEbH39FV+2XaMmJQspgf60MrZhoGvLubPt2v2hZk8oOt/5ujZ1pXv1h4kM7+Ix4b2ZMmmcGaO8iczv5gfNoajKK/A0ECXr0P2U1peQWcPZ3IKSli6PQKVUoWliVFdvkxCCCEakaAhvThw8iJW5qZ0aduSa8npN459ShVt3Jvx24Y9TBvVH+2/j329unjxzR8b1SMi9hw9y09rdhKdkMqMiUPxaO5I38ffYtWXr9fY15Thff8zh0+H1nzzx0Yyc/N5YtwgFq3ayrOThqNSqSgtK2fCYH9MjQ2Z/3r1KOKo+GRcHGz4dvlGihSluDnb19lrJIQQQgjRkGiprs+bIIRodE6dOkX37t154od9OLXuXGvb3Tr/ZYbP/p96+crhbWTFR+E/5aVa28fdSL1ylqVP9+fkyZN069ZNIxnq0vX3cfvMjnR0vvur95YdS6NSqcLZQp9eLSxYfSaTlIJyhnlZU16pJPRMJtbGuhjqaWOoq4OFkQ79PSx5e+s1xna0JTW/nNEdbNhwIRtfd3N2RuZgpKdDQCsLwq8VYGqgTStbIwJaWQKQUVjOhgvZ6v27WRkwpK11jUzZxRXM35/ExyNa3NNrcj6liGFLztfpe379dd8//1k6t2r4o0BmL1rP/GfHqpe3RlwmKjGD2RP/++RLY3U2Jpl+sxc12u8MIYS4V9ePfYeWzaNL25a3f0A998K8H/nuzafUy1sOnCDyWhKvPDpWc6E06ExkLL0ffVOOf0IIIYTQCJmaSQhx1/5ZhABo3StQY0UIcXudXUypUqrIKa5EUaGkSgXO5vocjMkHoFdLC2b4OVOlhFkBLlxILa5+nLMp4zvZkZRfpt7W+nNZuFoZ4mSuT2x2KZ1dTKioUpGnuPP5j1MLyvjf/kReG9C8dp+ouKV/FiEAhvt4NckihBBCiKbjn0UIgBEBPZpsEUIIIYQQQtNkaiYhxH3LS0vg0t61tVKMOPTHV2TGXWbcu79QkJHE+d2hlBbk4tKuJ20DRt1/2CYoq7gCfV1tYrMVJOYZU16pxFBPG+XfA+L0tLXQ1gI9neppDbS0qv97JrmI3yLSsDfVU29rTEdbwq/lY2mkS/fmZsRkKdDX0SYmq1S9jr2Z/n82oi4oreSR5ZGM62jL/pg8xnSwvel6ou4kpOey5uC5WilClJSV8+L36xnWsy1De7bhh03hlFdU4WBlxvThPjXunxDQqRbSCyGEEHcvPiWD1bvCa6UIsThkGyWKMkyMDXk6aBhDn36f0X296e/TieYOtvyxeR+FxQpauDgQPLT3/YcXQgghhGgkpBAhRBN3csNSlFUVmNm54N41gPM7V1KQmUyb3iOoqijn3I6/MLawQdfAEF0DIwxNLWnlPZAd371O+wETKMhMoV3/cQAkXTzGlcPb0DMypmX3fsSdOYS+kSm2rp606N4PgKKcdC7tXavev6WTO617BaqXez/yKlvnvwyAuX0zek2ZTWZcJJEHNkoh4h4Nal2zgXiP5mY3Xe+V/tUjFD4f1ZLE3FJ83Mx5zOdGD4fr/SF6ut54fAcnk7vKYm6oy+5na2+asKbml60RVFZV4WJrQZ9OrVi17zRJmfmM9GtHeUUlf+09jbW5MUb6ehjq62Fpasigbq15bckmJgR0IiW7gPG9OwJwLDKBrRGXMTHQo18XDw6ev4apkT6tm9nRr4sHAOm5haw9cE69fzdHa4b7eAGgVCpZtP4wQX07U1hShqmRAa8G9ycrv5gvVu791/1CCCHEvfhpzU4qKitp5mBL3x4dWLE1jOT0bEb186asvIIVW8KwsTTD0EAfIwN9LM1NGOzbhVe+WkrQkF4kZ2QzYZA/ABHnr7DlwHGMDQ0Y4N2JAycvYmpiRBs3Z/p7VxfM07PzWL3zsHr/7i4OjAjooV4e5NuZxau24dWy+vcmJ1srCksUaGtpYWZihG+nNvwYuoN2rWTkpxBCCCHEP8nUTEI0cU5tuqCsqkKRn01FWQkqZRXmdi5cOxUGgHvXALwnPoNSqaTXlNmkR1eflHRq3YUOg4LIT09Ub+vinjVYOrthZutEdlIMzm26oqysQFGYe8/5MuMiObttOX6TX7y/JyruSnMrw/tuTC1qX1dPF6qUKrILSlCUlVNVpaSZnQVhZ6IB6NOpJc+O7kWVUsnLQX05F5ta/TgPF4L7dSEx48ZncXXYWdwdrHCyMScmJZtuni5UVinJLVLcUZazMSkoyivYdSKK3SevAJCSnc/nf+3h7YcH3fR+IYQQ4m5182qJUqkkO68ARWkZyiolLg427DtW/Ttp3x4deP6hEVQplbz62DjORsUB0NWrJZOG9SEhLUu9rZAdh3B3dsDZzproxFS6t2tFZWUlOQVFd5zH09WZ/702nZTMHAB++/glXn10HAtXbv07bysWvfM0ZyKv1dIrIIQQQgjROMiICCGauOK8LHT0DchJiiE/LYHKinL0DAxRVVUBoK2ri5a2Njo6f39d/D1tT0rkKU6s/xlTa3v1ttoPGE/cmUMYmVnh2L4z2QlX0NHTJzsxWr2OqbUD3hOf+c88Z7YtJzP2ElGHtmDfoh3r5k6n87ApxJ0+gIfP4Dp4BZquNzbF8vmo2mlEOfHXi3wzzoPL6SVcySghJlvBu0PcsDLWq7He/ug8TicVkquoZM5AVy6klfD78TQWTPCslRyNXWZeEfp6OkSnZOGV4UBZZRVG2lpUKf+eZktHB21tLfR0dAD1x5WTV5P4actRHKxujGaZENCJg+djsTI1pnMrZ64kZaGnq0N0UqZ6HQcrM54Z0+umWbp6NqOrZzMOnY8lPbeI/OJSgj5YRlC/Luw5fZXxfTrVuF8IIYS4F5k5Bejr6RGdkEp8aiZlFRUYautTpVQCoKurg7a2Nnq6/+/YdzGGJaHbcbC2VG8raEgvDpy8iJW5KV3atiQqLhk9XV2uxqeo13GwseS5h0bcNEt2fiG/rN2FUqnEysyEtKxc/twSRm5BEf29OxKTmMb6vUcpUpTi6XrzaSqFEEIIIZoqKUQI0cR5+g6psdysvfdN1wt47E2gulF1XloCrp386TH2SfX91/tDNOvgo77N0aPjXefpEjiVLoFT1ctP/XL4FmuLW/l4Zzyz+zbjSHwBSpUKPW0torNKySwq563BbgAk5pay4UI2z/dx4Y1NsXwU6M4nu+JxszKkUqlipr8zAIryKpafzFBv29pYlwmd7dTLrWyNaGZpQDNLAwa3seKz3QkUlFb9qxCxIzKHz0a2ZH90Hgdi8xna1prVZzMRd2Zoz7Y1lr3but50vTenDASqG1QnpOfi396dGSN81fdf7w/h4+Wmvq1jS+d7ytS7441i1uEFL9zyfiGEEOJuDevdrcayT8fWN13v7RnBQHWD6viUDHp19WJm0DD1/df7Q/h2aqO+rVNr97vKYmNhxuuPj69x2//vOyHNsIUQQgghbk6mZhJC3DVLR9daaUwt6taEzrasPpvJniu5DPK0oqCsClN9bc6nFqvX0dLS4u+e1ahUKiLTS8hXVGFqoEOeovKe9vv78TTaORrjZm1IeaWSyipVbTwdcY9cHaxqpTG1EEII0VC4OdtLQUAIIYQQop6RQoQQ4pauN46uDctfHk1+WiIpkaeICF3I9m9fpzgv61/rndvxF0dWfsfO79+kokxBesxFQt+depMtilvxcjDhRGIhLawN0dbWIjK9BAM9bSr+URiwN9UjNlvBhgtZ5CoqaetgjKOZHmWVStraG6vXM9LXYYafk/rfP0dD/NOS8BT2R+eRUVhBUl4Zvx9PJz63VH3/0LbWzN+fxL6reQS0tKi7J9/IzV60vta2Nertn0nIyOXU1SQWrj/Eaz9sJCu/mD2nrvLFyr3M+WkLJWXl7DsdzfzVYSzacPNRSqv2nWHwqz+ol3/cfISJ7/8GQElZOc99u4aF6w/x+V97KCkr54UFazkemVBrz0MIIUTj9sK8H2ttW4HPfEhCaibbDp3kf7+v55m5i8jJL/rX8ic/hfDVb+tYtnHvTbez7dBJhj3zAenZeQD8uHoHX/y6ljfm/wbA29/9wYIVm3n248UALF23m6+Xra+15yGEEEII0ZDI1ExCNHF7lrxPn2mvEX82HJVSiY6uLtkJVynKyWDAU+8DkJeWwKW9a/Gf8hJb57/MkOc+Y++PH2Dl7I6yqhKfoOcAqCgt4fTmZeptG1nY0HFwsHrZurkHFo7NsXBsTkbsRYqy09DW+ffXUNzpg4x6YyEnN/xC7Il9tOk1HJN/9KIQd+6fvRfeGFg9jc/4TtVFhOv9IeaP8wBgTAdbAOYMduNuGepqk5RXxkx/Z/V0TgCjOtjgYKavXu7nYUk/D0v18vGE6kKJqOm9X7fz+uT+HL5wrXpaLR0driZlkp5XxAePDgUgIT2XNQfPMXtiX2YvWs+8GSP54LcduDtaUVml5LmxvYHqIsCy7cfV27Y2N2FS/y7qZQ8XW1ztrXC1t+LitTTScgrR1dFma8Qlvn5mDHtOXWX/6WhWHzyHr5cbKpUKlUqF1vVJuP82qX8Xjl6OUy8/NdKPywnpAOhqa1OkKCO3SEFzO0uMDfTxbedeNy+eEEKIBumdBct5c/pEDp26hFKlRE9XlytxyaTn5PHRcw8DEJ+Swepd4bzy6FhemPcjX778OO9+/yfuLvZUVSmZNWUkACWlZfy6brd62zaWZkwODFAve7o54epkh6uTHYG9u/PBohXkFxUT2Lt7jWUbS3NKS8spKS27aebA3t05dTlGvfzUxKEolUqmv78AAKVKRWGJAjMTIwAG+nRi9a7w2n3hhBBCCCEaCBkRIUQT13HwJM7vDCH66E48fYdQVlyAvrEpaVfPqtfRQgsV6vl7yLh2idKifPSNzVAU5N3TfrsMf4TOw6eSnXCFqopylFU3pgHqOf4pjq1eTMa1S+jo6t1iKwKqm07Xtq/3Jaq3e7vtT/3jMs0tDVhzNpOtl7IBWPN334d/FiFWnc7gZGJhjcf2dDXj6V7O6n1mFJbX2nNoyCb178KqfWfYeSKKoT3aUFBSiqmRAedibjTTRIt/TKsFl+LSyCtSYGZsSG6R4p72+8iQHkwd3J0rSf/u25GeU8iTw30w0NPlXGwKJWV3/l6lZBcwyq8970wdzOmrSfeUTQghROM2OTCAv7YdYHv4KYb16kZ+UQmmJkacibymXqd6Ssnqg59KBRdjEsgrLMLcxJicgqJ72u/Pa3fSwdOdFi4O/1p+OmgYLz0ymoqKSiKvJVFaVo7y7ybZN1NeUcm73//JK9PGAmBpZsJbTwZhqK9Pdn7hfz5OCCGEEKIpkBERQjRx9i3bcWTldzh6dkJLW5uM2MvYurWuURgwtXEgJzGaS/vWoijIwb5FO8xsHKksL8OuxY3muXqGxnhPfOa2+4w8sJHclDhykmPpM+11Tm5cSivvQdg0r74yX1lZgUqlxMzWiZY9BtT+k27gjicUEBadj62JHpO7VY8UKSitZPWZTFIKyhnmZU1GYTmx2aU4muvj62bOj+EptLI1YnwnW8wMq7/6t1/OITHvxhV+4zraYmt6o/DjbK7Pkbh89fL8/UlYGemSlF/G24Nd1VfEu1ga8KSfEwCvbohheDsbjiUU4utmzs6oHGKySpnx9/2bLmZz+Fo+rWyNcDDTZ2dkDkZ6OgS0siAmS8HGC9kM87LmxyMp6obZPZqbsTMqFydzfR7zdqzbF7eeaO/uyHdrD9K5lTPa2tpcik+ndTM7Kqqq1Os4WpkRk5LF2oPnyC0soZ27I47WZpSWV+Dl6qBez9hAn2fG9LrtPjeGXyAuLZfYlCxef2gAw33a8eXKveQWKXjnkcEUlJSxYN0h0nMLCerXhfd+3c5XT49WP37v6atcikvnx81HeGqkHxsOX+BSXDor955mSI82hJ2NIT23EA+Xm0/rJYQQomnr4OHKN39soEvbFmhra3MxJoG27i5UVP7j2GdrRXRCKqt3hZOTX0j7Vq442VpTWl5Ou5bN1esZGxrw3EMjbrvPBSs2c/j0Jfp0a09CaiYb9kXUWD524SrXktNISs/G3dmeeb+sZva0sViYVk9feez8FY5fuIqOtjYvPDyKJ979lhbNHAk7cQGvls3JzM1n4cqtlJSWYWVmQlHxvV0oIIQQQgjRGEghQgjBmLduzOveb/rbAHQYFATA8Nn/A2DUGwsBaNd/PAD9Z7x31/vR0zckPy2RtgGja9zu1W8sZjY3TjC7tOuJS7ue6uX0mIuYWsnUTNdtvJDN+0Pd0dW5MTWOokJJlaq6eHAwJp+xHW1IyC0ju7gCWxM9nC0MyC+tpPwuGkdP7mbPV3sTUf595WFGUTmz+zXjq72J5JRUYmNy69EqiorqKwYtjXQ5/vdIiMFtrOjVwoI3N8Wiq61FWwdjdLW1iM0upZWtEaM72JBaUF7dMNtRh7icUtytDbE01KGorIrSCiWGek1jMN+Sl4PUP78zdTAAwf26ADD/2bEALHxxAgDj+3QC4P2/p226G0b6eiRk5DLav0ON251tLBjY7cbUXpMHdK1x/6vB/WosD+jqyYCuN9Yf06sDY3rd2OaCF8arfy4pKycpMw/vtq53nVcIIUTj9fOHs9Q/v//0ZAAmDesDwHdvPgXAD+89C8DEwf4AfPjclLvej5GBPgmpmcyaMlI9nRPwr2VXp5rF86eDA9VFCADvjq1Z/+3b6uWVX75eY/2vXnmixvKRs5F4uDrddV4hhBBCiMagaZzNEULcVG02or7uwG/zOPjHl0SELiTst89QVlVxflcIAIOf+xQLxxtXq13f/z+LENflpSUQvuIbABxatSfgsTdrPWtDNbqDDd+EJbHsWBqlf5/sT8wro7xSiYrq+Ygziiow1NMmLqeUtMJyDHW1yVdUkltyY6TLMC/rGg2o/zkaAkALeNzHkV1XcgGwN9Xnt4g0SiuVNYoQyXll/HwklW/Dkhjgaam+PSqzBF1tbZQqFVXK6mLGrqhcvg1LoldLC8Z0tCW7uIKySiVeDsZ42Bmx4lQGNiZ6NRpmpxaUY6SvQ1pBOSUVVTQltdmU+rp5K/aotzt70Xo+fXIErvZWN1134ge/8cPGcL4K2cem8ItAdVNqAEdrc/V6K/acumXj6Xkr9pCee2NKCmMDfV6fPAAPF9v7fDZCCCEam9psSn3dJz+FqLf7wrwf+Xz2Y/8qMlw37qVPWbhyK1/8upYN+yIAWLntAFA9IuO65Zv3c+z8lVvu83oT6+smBwYwpr/P/TwVIYQQQogGS0ZECNGEJF44SuyJfZhY2tFl+FQASosKOL9zJQWZybTpPYKi7HRykmIws3XCtZM/EasXYtO8NR0GTcTApPrEY9ShLeSn3Tjp2H7gREysbvwx13XENEytHYg8sJHYE3tJvHCUjoODObP1D0ryczA0s6DbyMdIjz7PyY2/kpscS7/p79RogG3r3pbUK2dIPH+UzPhIyooKKMnPxn/KbMKWfoKduxduXXph69bmwb6I9UBPV3N6ut44CXy96XSP5mY11vNxu7HOYz53N6XRK/2rC0b2Zvqce716dMrsfs1uuu7yR7z+ddv1TLfT0/VG5g5OJuqf/3/D7H/e15gdvRTPvjNXsbUw5ZHB3QHILy5l1b7TJGXmM9KvHek5hUSnZOFkY45/e3cWbTiMp4sdQf06Y25c3fh7y9FLJKTnqrc7sW9n7CxN1csuthYcvnBjzu0vV+7F0syYxIw8PnxsqHrareb2ljw9uvqK0xcWrGWUf3uOXo7Dv4M72yIuE52cxbN/T/u0/vAFDpyLxbOZLY7W5myNuIyJgR79unhwNTmLdQfPM9zXi8UbwtUNtb3burLtWCTOtuY8Ody3bl9cIYQQ9dKRs5HsiTiHnZU5j46unpIzv6iEFVvDSE7PZlQ/b9KycolOSMXZzppeXb1YsGIzrd1dmDS0N+Z/j1DYFHaMhJQbPY6ChvbG3tpCvdzMwZaDpy6pl+f9shorc1MS07KY+/zDN459jrY8N3k4AM998gNj+vsQfjaSXl3bseXgCa7Gp/D839M+rd1zhLCTF/B0dcbJzpotB45jbGjAAO9OXI1PYfWucEb17cn3f21RN9T26diarQdP4Gxvw1MT734koxBCCCFEQyUjIoRoQi7tW0+fR16jx9gn0dWvPmFZUVaCSlmFuZ0L106FYd+qPdo6OpTkZ2FibYe5fTNKi/KorLi3JsLX/6hTKZVUlJZgYmlL0vnqq8tsmnvSffTjaOvokBJ5qkYDbJvmnji17kLzjr5EH92FsaUtxhY25KXG49SmK+WKIsoVxbXzwghRT6w7dJ7XJvVnxghfDPWrR50oysqpqlLSzM6CsDPRtHd3RFdHm+z8YuwtTWlma0lekYLyuxgtMnVQd0L2n6GysnpETVpuITNG+GJkoEt2QcltH68oqwDAysyIo5fjARjWsy2vBPdj/5kYVoedxd3BCicbc2JSsvF0sWVcn45k5xfXaKjdwskGS1MjCkvKKC2vuNuXSwghRCOwZnc4bz4xgZlBwzA00AdAUVqGskqJi4MN+46do4OHG7o62mTlFWBvbUFzR1vyCosoq6i8zdZvmDaqP6u2H6Dy754Tadl56n1m5d2+kXRJaXVfLStzU46ejQIgsHd3XntsPPuOnydkxyHcnR1wtrMmOjEVTzdnJg72JyuvoEZD7RbNHLE0M6WwWEFp2b39fi2EEEII0RDJiAghmpB2/cdy8I8vMbVyoHNg9Xy6+WkJVFaUo2dgiKqqiqLsdHQNjcm8dpnCzFR09Q0pzslAUZCDiWX1NCptet+6+d/pLb+jb2hMaXEBfR55najDW6koKyEvLQFHz85UVVafcMxOuMLJjb9SVVmBc9tuxETsUjfANrawJivhCnGnD9Km13DKSwrRMzLBzNaJxPNH0NLSIic5Fue23er2RRPiARrXuyNfrtqHvaUZDw+q/n87ISOPssoqjLS1qFKqSMstxMhAj8vx6aRmF2Cgr0t6XiE5hSXYWlSPHBnh2+6W+9HS0mLGCD/GvbcUqG58/dOWoyjKKtXbAEjMyOOHjeEUlZYxuPuN0UeRCeno6eqgVKpQ/j3t1vbjkURExhPQqSVONuYcPB+LlakxnVs5o6+nwx87TxDcv0uNhtqp2fkYG+pxJTGTktIKdfFFCCFE0zFhkD/zlq7BwcaSR0b2AyA+NZOyigoMtfWpUipJy8rFyNCAS7GJpGTmYKCvR3p2Hjn5hdhZVY8AHdXX+5b70dLS4umgQEbOmguAo40lS0K3U1pWrt4GQGJaFgtXbqVYUcoQ/xv9kS7HJqKno4NSqaRKWV3I33boJBHnr9C3Rwec7aw5cPIiVuamdGnbEn09PX7bsIeHAgNqNNROzczB2MiAqLhkikvL1MUXIYQQQojGTkulUt1551IhRINy6tQpunfvzhM/7MOpdWdNx6kzqVfOsvTp/pw8eZJu3RpfYeL6+7hgggeetkaajlMvXM1SMGtNdJ2+59df9/3zn6VzK5c62YfQjLMxyfSbvajRfmcIIcS9un7sO7RsHl3a3tk0i6LhOBMZS+9H35TjnxBCCCE0QkZECCFEPWdra4uxkSGz1kRrOkq9YmxkiK2tNDsWQgghhBBCCCGEqO+kECGEEPWcq6srlyOjyMrK0nSUesXW1hZXV1dNxxBCCCGEEEIIIYQQtyGFCCGagOyEK5qOUKca+/OD6mKEnHTXjKjETE1HELVM3lMhhLi1qLhkTUcQdUDeVyGEEEJokvSIEKIRS0hIoK2XF4qSEk1HqXNGxsZEXr4sJ+tFrUlISMDLqy0lJQpNRxF1wNjYiMuXI+U7Qwgh/kGOfY2fHP+EEEIIoSlSiBCikUtISLirKX3WrFnDp59+yuuvv86kSZPqMNm/FRYW8vjjj1NRUcFvv/2GlZXVHT9WpukRdeFuPz+akpuby6OPPoq+vj6//vorZmZmD3T/K1eu5Msvv+Ttt99m/PjxD3Tf90q+M4QQ4uYayrFPoVDw1FNPkZGRwe+//46Dg8MD3f/evXt57bXXmD59Os8+++wD3ff9kOOfEEIIITRFChFCCLVdu3YRGBjIs88+y3fffaeRDNeuXcPHx4c2bdqwe/duDAwMNJJDiIaitLSUQYMGcfXqVSIiInB3d9dIjlmzZrF48WK2b9/OoEGDNJJBCCFE06BUKgkODmbbtm0cPHiQbt26aSTHF198wRtvvMGyZcuYNm2aRjIIIYQQQjQUUogQQgBw6dIl/Pz86N27Nxs2bEBXV3MtZI4cOUL//v0JCgri999/R0tLS2NZhKjPVCoVU6dOZc2aNezfvx9fX1+NZamsrGT06NGEh4cTHh5Ou3btNJZFCCFE4zZnzhw+//xz1q1bx5gxYzSWQ6VSMWPGDH7//Xd2795NQECAxrIIIYQQQtR3UogQQpCRkYGPjw9mZmYcPnz4gU/rcjOrVq1i8uTJfPTRR7z77ruajiNEvfThhx/ywQcfsHLlygc+ldrNFBQU0Lt3b4qKijh69Cj29vaajiSEEKKRWbp0KdOnT+frr7/m5Zdf1nQcysvLCQwM5MyZMxw9ehRPT09NRxJCCCGEqJekECFEE6dQKBgwYABxcXFERETUqzljP/74Y959911WrFjBQw89pOk4QtQrf/75J1OnTuXjjz/m7bff1nQctYSEBLy9vWnZsiV79+7F0NBQ05GEEEI0Evv27WPIkCFMnz6dxYsX15tRs7m5ufj5+aFUKjl69CjW1taajiSEEEIIUe9IIUKIJkypVDJlyhQ2btxIWFgYPXv21HSkGlQqFY8++ighISHs3bsXf39/TUcSol44fPgwAwYMYPLkyfz222/15kTMdcePH6dv376MGTOGFStW1Lt8QgghGp6oqCh8fX3p2bMnW7ZsQU9PT9ORaoiJicHHx4cOHTqwc+dO9PX1NR1JCCGEEKJekUKEEE3Ye++9x9y5c1mzZg3jx4/XdJybKisrY/DgwURGRnL06FFatmyp6UhCaFRMTAy+vr60a9eOnTt31tuG7mvWrGHixIm89957fPjhh5qOI4QQogHLysrC19cXAwMDDh8+jKWlpaYj3dShQ4cYOHAgDz30EL/++qsU4oUQQggh/kEKEUI0Ub///juPPvoon3/+Oa+//rqm49xSdnY2vr6+6OnpER4eXm//+BSiruXm5uLv709lZSVHjx7FxsZG05Fu6fPPP+fNN9/kjz/+YOrUqZqOI4QQogEqKytj0KBBREVFERERQYsWLTQd6ZauT5346aefMmfOHE3HEUIIIYSoN6QQIUQTdODAAQYNGsS0adP46aefGsTVWlFRUfj5+dG9e3e2bt1a74bjC1HXKioqGDZsGKdPn+bo0aO0bt1a05FuS6VS8eSTT7J8+XJ2795Nnz59NB1JCCFEA6JSqZg2bRqhoaHs27cPPz8/TUe6Ix988AEffvghISEhBAUFaTqOEEIIIUS9IIUIIZqY6OhofHx86NKlC9u2bWtQ89fu37+fwYMH8/jjj7NkyZIGUUARojaoVCpmzJjB77//zq5du+jbt6+mI92x8vJyhg0bxtmzZ4mIiMDDw0PTkYQQQjQQc+fO5b333mPlypVMmjRJ03HumEql4uGHH2bdunXs378fHx8fTUcSQgghhNA4KUQI0YTk5OTg5+eHlpYWR44cwcrKStOR7tpvv/3G448/zldffcUrr7yi6ThCPBBffvklr7/+Or/++iuPPfaYpuPctdzcXPz8/FCpVBw9erRBfvcIIYR4sP766y+mTJnC3LlzeeeddzQd566VlpYycOBAoqOjiYiIwN3dXdORhBBCCCE0SgoRQjQR5eXlDB06lPPnzxMREUGrVq00HemevfXWW8ybN4+1a9cyduxYTccRok6tXbuWiRMnMmfOHD755BNNx7ln0dHR+Pr60qlTJ7Zv396gRmMJIYR4sMLDwxkwYADBwcEsW7aswY6CzczMxMfHB2NjYw4fPoyFhYWmIwkhhBBCaIwUIoRoAlQqFdOnT+fPP/9kz5499O7dW9OR7otSqWTSpEls3bqVAwcO0L17d01HEqJOnDhxgoCAAEaOHMnKlSvR1tbWdKT7cvDgQQYNGsTUqVP5+eefG+yJJSGEEHUnNjYWX19fvLy82LlzJwYGBpqOdF8uX76Mn58fvr6+bN68GV1dXU1HEkIIIYTQCClECNEEzJs3jzlz5rB8+XIefvhhTcepFQqFgn79+pGYmMixY8do1qyZpiMJUasSExPx9vbGzc2Nffv2YWRkpOlItWL58uU88sgjfPbZZ7z55puajiOEEKIeycvLw9/fn4qKCo4ePYqNjY2mI9WKPXv2MGzYMGbMmMHChQulEC+EEEKIJqlhX1ophLit0NBQ5syZw/vvv99oihAARkZGbNiwAT09PUaOHElRUZGmIwlRawoLCxk5ciQGBgZs2LCh0RQhAKZOncp7773HnDlzWL16tabjCCGEqCcqKioICgoiLS2NLVu2NJoiBMDAgQNZtGgRixcv5rvvvtN0HCGEEEIIjZAREUI0YhEREfTr149x48bx559/Nsqrry5cuIC/vz99+/Zl/fr16OjoaDqSEPelsrKSMWPGcOjQIcLDw2nfvr2mI9U6lUrFww8/zLp16wgLC8Pb21vTkYQQQmiQSqVi5syZ/Pbbb+zatYu+fftqOlKdeP311/nqq6/YsGEDo0aN0nQcIYQQQogHSgoRQjRScXFx+Pj44OHhwZ49ezA0NNR0pDqzY8cORowYwaxZs5g/f76m4whxX1588UUWLlzIli1bGDp0qKbj1JnS0lIGDBhAbGwsERERuLm5aTqSEEIIDfn666959dVX+fXXX3nsscc0HafOKJVKJkyYwK5duzh06BBdunTRdCQhhBBCiAdGChFCNEL5+fn06tWLkpISIiIisLOz03SkOrd48WKeffZZFi5cyLPPPqvpOELck++//55Zs2axaNEinnnmGU3HqXOZmZn4+PhgYmLC4cOHMTc313QkIYQQD9j69esZP348c+bM4ZNPPtF0nDpXXFxM3759SUtL49ixYzg7O2s6khBCCCHEAyGFCCEamcrKSkaOHMnRo0c5cuQIXl5emo70wMyePZsFCxawefNmhg0bpuk4QtyVrVu3MmrUKF588UX+97//aTrOA3Pp0iX8/f3x8/Nj06ZN6OrqajqSEEKIB+TkyZMEBAQwYsQIVq5cibZ202hhmJKSgo+PD/b29hw4cAATExNNRxJCCCGEqHNSiBCiEVGpVDz33HP89NNPbN++nYEDB2o60gNVVVXF2LFjCQsL4/Dhw3Ts2FHTkYS4I+fOnaNXr17079+fdevWNbleJ7t372bYsGHMnDmT77//vlH2sxFCCFFTUlIS3t7euLq6sm/fPoyMjDQd6YE6e/YsvXv3ZuDAgaxZs6bJHfuFEEII0fRIIUKIRuTbb7/lpZde4scff2TGjBmajqMRRUVF9OnTh5ycHCIiInB0dNR0JCFuKS0tDW9vb2xsbDh48CCmpqaajqQRP/30E0899RTffvstL7zwgqbjCCGEqENFRUX07t2bvLw8IiIicHBw0HQkjdiyZQujR49m9uzZfPXVV5qOI4QQQghRp5rG2FchmoBNmzYxe/ZsXnvttSZbhAAwNTVl06ZNVFRUMGbMGEpKSjQdSYj/VFJSwujRo6mqqmLTpk1NtggBMGPGDF599VVmz57N5s2bNR1HCCFEHamqquKhhx4iNjaWzZs3N9kiBMCIESOYP38+X3/9NUuWLNF0HCGEEEKIOiUjIoRoBM6cOUPv3r0ZPHgwa9asaTLz697K9TmHhw8fzqpVq+Q1EfWOUqkkODiYbdu2cfDgQbp166bpSBpXVVXFxIkT2bVrF4cPH6Zz586ajiSEEKKWXe/ptWXLFoYOHarpOBqnUqmYNWsWP/zwA9u2bWPw4MGajiSEEEIIUSekECFEA5eSkoK3tzeOjo6EhYVJs7t/WL9+PePHj+fNN9/k008/1XQcIWqYM2cOn3/+OevWrWPMmDGajlNvFBcXExAQQEZGBhERETg7O2s6khBCiFqyaNEinnvuORYtWsQzzzyj6Tj1RmVlJaNGjSI8PJwjR47Qrl07TUcSQgghhKh1UogQogGTE3a39/XXX/Pqq6+ydOlSHn/8cU3HEQKApUuXMn36dL7++mtefvllTcepd6TAKoQQjc/27dsZOXIks2bNYv78+ZqOU+8UFBTQq1cvioqKiIiIwN7eXtORhBBCCCFqlRQihGigqqqqmDBhAnv27OHQoUMyhcl/UKlUPP300yxdupSdO3fSv39/TUcSTdy+ffsYMmQI06dPZ/HixWhpaWk6Ur0kU84JIUTjceHCBfz9/enbty/r169HR0dH05Hqpfj4eHx8fGjRogV79+7FyMhI05GEEEIIIWqNFCKEaKBee+01/ve//7Fx40ZGjBih6Tj1WkVFBcOHD+fkyZMcOXKENm3aaDqSaKKioqLw9fWlZ8+ebNmyBT09PU1Hqtc2b97MmDFjeOWVV/jiiy80HUcIIcQ9SEtLw8fHB2traw4ePIipqammI9Vrx44do2/fvowZM4YVK1ZIIV4IIYQQjYYUIoRogH788UdmzpzJt99+ywsvvKDpOA1CXl4e/v7+lJeXc/ToUWxtbTUdSTQxWVlZ+Pr6YmBgwOHDh7G0tNR0pAbh22+/5aWXXuLHH39kxowZmo4jhBDiLigUCvr160diYiLHjh2jWbNmmo7UIKxevZqgoCDeffddPvroI03HEUIIIYSoFVKIEKKB2bVrF4GBgTz99NMsWLBApnW5C9euXcPHx4e2bduya9cuDAwMNB1JNAGbN2/m4MGDhIeHExUVRUREBC1atNB0rAZDpVLx/PPPs2TJErZv386gQYM0HUkIIcRtHDt2jCVLllBYWMiWLVs4cOAA3bt313SsBmXevHnMmTOHZcuWMW3aNE3HEUIIIYS4b1KIEKIBuXTpEn5+fvj7+7Np0yZ0dXU1HanBCQ8PZ8CAAQQHB7Ns2TIp5Ig6N2LECE6fPk12djZbt25l4MCBmo7U4FRWVjJq1CiOHDlCeHg47dq103QkIYQQt/D0008TGhpKTk4Oy5cv5+GHH9Z0pAZHpVIxffp0li9fzu7duwkICNB0JCGEEEKI+yKFCCEaiIyMDHx8fDA1NeXw4cOYm5trOlKD9ddffzFlyhTmzp3LO++8o+k4ohGrqqrCxMSEsrIyDAwMmDRpEsuWLdN0rAapoKCAXr16UVxczNGjR7G3t9d0JCGEEP/B2dmZ1NRUjIyM8PHxYd++fZqO1CCVl5czdOhQzp07R0REBB4eHpqOJIQQQghxz6QQIUQ9t3nzZpYuXUpqairXrl0jIiICNzc3Tcdq8ObOnct7773H3Llz2bdvHzt37kRHR0fTsUQjc+7cOTp37oypqSmvvvoqzz77LHZ2dpqO1WDFx8fj7e1Nq1atcHR05IknnmDkyJGajiWEEOIfysrKMDQ0RF9fn+eff54XX3wRV1dXTcdqsHJycvDz8wOgX79+dO/enaeeekrDqYQQQggh7p4UIoSo54KCgti3bx9FRUWEhIQwevRoTUdqFCorKxk9ejS7d++moqKCEydOyNzFok5s3LiRoUOHSk+SWrJ+/XomT56MqakpAwcOZNWqVZqOJIQQ4v/ZsWMH/v7+mJmZaTpKo3DkyBECAwPR19enVatWHDlyRNORhBBCCCHumramAwgh/ptKpWLbtm1kZ2dTUVHB0qVLNR2p0YiOjmbbtm3q5bVr12owjWjMRo8eLUWIWvTrr79SUVFBdnY2W7ZsQa6nEEKI+mfo0KFShKhFK1asID8/n8zMTCIiIigqKtJ0JCGEEEKIuyYjIoSox3JycrCxscHOzo733nuPRx99VP6oq0WnTp3iq6++YuXKlXTr1o0TJ05oOpL4W0JCAllZWZqOUW/Y2trKtBZ/KywsZNmyZXz00UdkZmaSnZ2NtbW1pmMJIcRdk2Pd3WnKx8LS0lJWrlzJhx9+SFxcHAcOHKBPnz6ajiWEEEIIcVekECFEPXft2jXc3NzQ1pYBTHUlIyMDAwMDLCwsNB1FUH1ixsurLSUlCk1HqTeMjY24fDmyyZ6AuRmlUkl8fDwtWrTQdBQhhLhr1cc6L0pKSjQdpcEwNjbm8uXLTfpYqFKpuHbtGi1atEBLS0vTcYQQQggh7oqupgMIIW5NTrLVPXt7e01HEP+QlZVFSYmCJa9Mok1zeW+iEjOY+fUqsrKymvTJl/9PW1tbvh+FEA1W9bGuhF8+epE2LZppOk69F3Utienvfdvkj4VaWlq0bNlS0zGEEEIIIe6JFCJEk9RUhsI3xSHs8t42Hm2a29PZw0XTMUQtayqf0bvRFD7PQoiba9OiGV3ayonlxk6Off8mxz4hhBCi6ZFChGhymtJQ+KY2hD0hIYE2bb0oVTT+99bQyJioyKbz3l63YvcJPJvZ07PtnT/vQ+diSM8twshQj94dW2JubHjbx6hUKpRKFTo6/z0l2sW4NHadiCQ5M5+J/bpgamRwy2UfL7ebPq6tqwML1oZhaWLEkJ5tad2IR4EkJCTg1bYNJYpSTUepV4yNDLkcGdXkPs9CiHuzfNNezl+Nx8LMBCMDfcYP8mfIjHc4GfotWbkF9Jn2Ool7lvHCZ0v4bs7Mm26jsrIKXV2dW+7nYnQC3y3fwCD/rgQN6c3vG/eQnJ5NWnYuL04dQ8tmjgDsO3aOc1HXiEvJ4POXH2PP0bN8u3wjyz6ZjYOtFQAL/9pMVFzyf+ZpzOTYd3Ny7BNCCCGaHilEiCbn+lD4j7//lRYebTUdp85ci47knecfb1JD2LOysihVlOAxYwFGTp6ajlNnFKlXif5pVpN6b/+/eX/uwtrcmKtJWTwx3JdtEZcwNTKgdXM7UrLy8Wxmj6uDFb9uPUrvjtVXmp6LTqZ76+a88O0aRvq3Z8/JK3z3wgT0/j4RU15RycFzsVyMS0WlgscCfYhNyeLopTj1fv3bt1CP0mjv7kh7d0d2Ho/kWkoWkwd2v+Xy9ULE/3/c+dgUtNBCqVJhoNe4D8tZWVmUKEpZMMEDT1sjTcepF65mKZi1JrpJf56FEPcmJ7+QHu08AAjs04NV2w+Sk1/IsN7db7p+saKUPUfPEpOYio62Ns9PGcmBkxe5eDVevc6wPt1p1dwJgPYerjw8qj/p2XkAGBrok51fiKK0HDurG321+nt34kxkLNl5BehoaxPYpwenLseo7/9j414G+3UlKi65tl+CBkGOff8mxz4hhBCiaWrcZzyEuIUWHm3x6tRV0zFEHTBy8sTUraOmY4g6NrpXRxLSczkbnUS31s24FJdGbqECLS0tVCoVKpXqpo+zNDNiYt8uJKTnkpZTSHN7SwAWbThETHIW04Z606NN8ztqAhl+4RqnriTyxpRBd7R8s8ct2XiYji2dGNKzLR/8uo15M0ffx6vSMHjaGtHR2VTTMYQQosGaMLgX3h1b8+K8Jfh18aK5oy3xyemYGBthZGhw08d8tPgvVCoV00YPoIOn+13vMy45na9enc6u8NPsjTjLmAG+6vtmTxvL0rU7ScnMobmjnfr20rJyTl2OoaCohEvR8SSnZ+PiYHPX+24M5NgnhBBCiKZOChFC3MYPX81l4rQZ2No71ul+Nq/+k6z0NHKzMnnpvc/UJ0EXfv4+1jb2FOTnMvOVd5j/0RzsHByJibrE+/9bwovTxuPdpz8duvakcw/f2+xF3Erihq9x6PcI+hZ1OzVOZvhqyvMzqCjIwi34XfV7nbLzR7S0tKgsKaD5mFfqNENjoKWlhZZW9UiC7PwS9HR1iU7KZIRfe37fcYyWzrY3fxxa6serVEr17S9N7IdSqSTicgLfrzvI1ME96OrZjK6eN28ieuxyPG//vJng/l2JuByPtpbWLZcdrc2ISszEytSoxu2je3XkuzVhRCakM9Tbq/ZfqCbg632JPNLDAXsz/Trdz+qzmWQUlpNVXMG7Q9zUn90fw1PQ0tKioLSSV/o3r9MMQggBsGbXYY6cuUxrtxu9lJ59aCQG+nq8v/DPmz7m85cfp6KykgMnLrDryHpeeHgU/Xp2pF/Pm1+8kZyezfo9RygqKaVLm5aYmRjz1a9rScvO5aWpY1i2YTdBQ/uweuchcvILiY5PJXhYH46dv8Lx81fQ0dbmhamjmf/GDACi4pObbBGiLsixTwghhBANjRQiRJN39sRRwnZsxsjYGJ+AgYTv24mllQ1xMVcIevQp4mOusHPjaoaMnsir0ycT/Hj13LaZaalkpqfyxKzX+P6z9+jc04/khGuMnDiVP39awJzPvuX7ee/xyMyXsLCyBmBz6HLy83LV+574yAwMDKvnqz9/MoI5n33H6j9+4uql87Ru3wmAtOREnnvjQ96Y+TCFBfmoVEqKiwoxMTMHwNbBsbonwn9c/S1uKIw+Qc6ZnegYGGHRLoC8C/vRNbVCkRaDY79pKNJiyD62ERvv0UQtfBLHAY8BUJ6XTkVeGi7DZ5Gwdh5mHj0pzYzHzn8iqbt+puXUT0lYOw+nITPRM62eCzkzPJTK4jz1vh36PYK2XvV7XRhzkpaPfEb6/j8oSbqESfP2AJSmX6PlI58Rv+YzKkvy0TW2QNQ0ZVAPAHWPCAcrs5v2i7jVqIL5z48DYHZQv3/dp62tjV97d/zau982i7eXG/u+mVXjttstuzva3PT2pjAK4n6cSCxkZ2QORno6BLSyYH90HlZGusRkK5jW05GYLAUbL2QzuoMNT66K4jHv6sJxekE5aYUVzOrjwrw9CfR0NSM+p5SJXez4+Ugqn45sybzdCcz0d8LKWA+A0DOZ5Ckq1ft+pIcDhnrVvUJOJhby2ciW/HE8nUvpJbR3NAHgWk4pn41syWe74slXVGJhJL9eCSHqztRRA/512yuPjVf/fL0Pw836Mejp6jLQtwsDfbvcdj8uDjb87/UZ6mVPN+ca9z86pnq037TRA2vc7t2xNesXvPuv7TXF/hD3Q459QgghhGhs5LcF0eRtX7cKD6/26OjokhB7FYCBI8eRkhjP5XOncGvVmiGjJ2Jr70irtu0YPv4hPpvzAnM++47jh/dz8shBlEolo4IfIS7mCuH7dtLNtzd7t21AW1tbXYS4VwGDRxDy2xIK8/PQ0dHB3MKSJ1+aw4JP3yEvJ5t3v1wEwIcvz6RzT7/7fj0as6yI9Rg3a4uWti6l6bEA2HQfQVlWIsXx5zBybIWN92j0LewxdmmLne94Yv+YQ8tHPiM/8jAFUUdQKZXY+QehSIsh78J+zFv7kH1qG2hpq4sQ9+v2EwIJ0bSsP5dFWwdjdLW1iM2ubvY5or0NiXllnEspppWtEaM72GBvpk9be2PGd7JjzuZYPhvZksPX8jkSX4BSpSKosx0x2Qr2X83Dx92cbZez0dZCfSLmvt3BdF5CCCHEnZBjnxBCCCEaGylEiCZv2NhgjoeHYWFpjVfHriTFX7sx5YtSSQvPtqxf8StjJj+Ktnb1lUHdfHqzbNH/1CMijuzfReiyH0mIvUrQozNxbenBI8N7M//X0Br7Ghk09T9zdOzuw7JF/yMnK5MJU5/kr58X8tCTz6FSqSgrVTBk9ESMTUzJycpkxc/fU6pQYGBoxC/ffU5ZqQKvTt3q9HVqDGx9xpAfGY6uiSVmbt0pzUyo/uNJSwuVUomRkwcZB1Zg33uyeti5eWtfkrcvVo+IyLsYRvr+31GkxeI4YBqG9i05//EI2sxaWmNfdv5B/5nDrFX36m0WZGHfdyqpu3/BadB0jBxbkrrrJ7T0DGU0xH2a9+cuHh/ui4OVWZ3uZ+XeU6TnFJKVX8RHTwxX/3/z7tKtOFqZEZmQzoIXJ/LrtgiKFWU0t7diTO+OlJSW8+KCtQzz9mJC3851mrExGNPRlvBr+Vga6dK9uRkJuaVoUV20U6pUeNgZseJUBpO72qvfA183cxYfSlZfFRoWncfvx9OJzVYwzduRltaGjPjpPEsfalNjX0Fd7P4d4G/dm5ux+FAyWcUVTO1hzy9HU5nu60RLGyN+OpKKoa6WXBEqhNC4T35cxZPjh+BgWzsXSPyXv7buJy0rj8ycfD55cZr6+/fDxSuws7Igr7CYt2YE88Q739C9nQdtWrgwyE/6s90pOfYJIYQQorGR3xhEk9e5p1+NkQRtOlSfFLS1d6RTd58a6779+fcADB0bXON2HV1dJj3+tHo5bMdmBo0Yh72TC3dq5MSHayw/9ORzAAwZPbHG7a9//L8ay9NfeOOO99HUmXn0xMyjp3rZxLUDAPoW9pi16l5j3ZbTPgeqixf/pKWto56yCSDnzE5seozAwMrpjnPY+dd8T50GTa/+7+AZN1td3MSxy/FsjbiEiYE+/bp6sudkFNbmxlxNyuKJ4b5cTc5i3YGzjAvozCOf/MGTI6o/42k5BaTlFDA7qD9zf9+Oj5c7cWk5TB7QjcUbD/HVM2OZ+/sOnh/XByszYwBW7jlJbpFCve/HA30w1K++ivB4ZAJfPzuWX7dFcOFaKh1bVk9boVIqKVKUYWZsQGFJGZvCLzDCrz1aWqBUKlm0/iBB/bpQWFL2gF+5hqmnqxk9XW8UlTo4VU8LYW+mT/fmNYtNn49qCVSfwPknHW0tHvO50etnZ2QOI9rZ4GR+86auNzOxc80TNdN9qz/3M/zu/PMvhBD3K+JcFFvCjmFsZMgAn87sOnIaawszrsYn8+SEoVyNT2b1rsNMHNyLKa9/yVNBwwBIzcohNTOXVx4bz4eL/sS3U1uuJaczZURfFv61hflvzOCDRX/ywsOjsbao/m5dsWU/uflF6n1PnzAEQwP9v3Nc4Zs3n+KXtTu5cDWejq3dAUhKy+L9Z6bwyJyvyC8qxtHWivLKSsorKhF3To59QgghhGhspBAhRC24XqC4ru/QkfQdOlJDaURdul6guM66yxDoMkRDaZqu1WFnaOfuiK62NjHJmQCM7tWRhPRczkYn4eliy7iAzjhYmdHOzZHg/l15ZdF6vn52LAfPxXD4QixKpYqHBnbjanIWe05F4d++BZvDL6CtpaUuQtwrS1MjXp08kA9/205FZSUGerpMH+7LS9+vpbm9FYrySnadiKJIUSYjIh6Q6ydprhvS1pohbTUURggh7kPIjoO0b+WKrq4O0QkpAIwb6Ed8SgZnImPxdHNh4uBeONha4dWqOZMCA3hp3o988+ZThJ04z6FTF1EqVTw8sh9X4lPYdeQMvbq2Y+O+CLS1tNVFiHsV2KcHP4ZuJ7+wBB1tbT596VEAnp27kOEBPW/zaFGb5NgnhBBCiPpEChFC1KGUxDh2rA/l8Vmv3dd2KioqCPntB5RVVUQc3Mv3f26spYTiXpVmJZJ9bAMuw5+/721d+HwCNt2GYdEuAGOXNrd/gGBC3y4cPBeDlZkxnT1ciEvLuTGlmkpF6+b2/LHjGA8P7qmersC/fQu+WxOmHhGx99QVftkaQUxyJtNH+NHK2YaBLy/kz3em1djX5IHdbxYBqG6a/d2aMDLzi3lsmDdLNh5m5uheZOYX88OGQyjKyrE0NaJjSyeWbDyMk7U5XT2b0dWzGYfOxZCeW/Sf2xa1KzG3lA0Xsnm+z52PVPsv34QlEZVRwuKg1iTnl7H2bBZ5igq6NzdjeDubWkgrhBD/LWhIbw6cvICVuSldOrbkWnJ69ZQ9f08r2sa9Gb9t2MO00QPU04r26taOb/5Yrx4RsefoGX5avYPohBRmTByGh6sTfR97k1Vf1RxpO2VEv//M4dOpNd/8sZ7MnHyeGDeYRSu38OzkEahUKkrLypkw2B9TYyO+/WMDRYpS3Jwd6vBVEbdSm8fAhQeT0dXRwsvBmIBWlvcfTgghhBBNhhQihPgPoct+pLKiAgeXZvTs1Y8toX+SlpJE/8DRVJSXsSlkOZbWthgaGmJgZIS5hRX+/Qcz7+3ZDBsbTEZKMkPGVE/Bc/bEUcJ2bMbI2BifgIGcCA/D2MSMFh6t8QkYCEBWRho7NtzoKdHMtYV6VIWenh4Pz5jF7s1rmTD1yQf/YjQyafuWoaqqRN/aGYu2vcg8sprynBSsuw5DWVlOZngouqbWaOsboqNniI6JBZYd+nPtz7ex9RlLeU4qNt6jASiMPkHOmZ3oGBhh0S6AgshwtA1NMXJqhWW7AADK8zPIPrZBvX8DO7fqkRR/07d0oKq0CLS0H+wL0YD5eLnh4+WmXr4+JZKDlRk927rWWHf+8+MA/jXyQEdbhxkjb0zLtjXiEqN7dcTZ9s77c0weULM3y8zRvQD4fOboGre/NfXfo2Z6d2p1x/tp6pYdS6NSqcLZQp9eLSxYfSaTlIJyhnlZU16pJPRMJtbGuhjqaWOoq4OFkQ79PSx5e+s1xna0JTW/nNEdqgsEJxIL2RmZg5GeDgGtLAi/VoCpgTatbI3UJ1QyCsvZcCFbvX83KwOGtLVWL7/UtxlvbKpueO9iYcCsABeuZJSw5VK2FCKEEHXOt3NbfDvfuKy9U5sWADjYWuHdsXWNdb+bMxOoLl78k46ODjODA9XLW8KOM3aAL872d/4d9tDwfjWWn508AoAJg3vVuP3FR2pOcynuTn06Bl7JKOFcajG+bmbqCz2EEEIIIe6UnPUS4j+069yNKmUVeTlZlCpKqFJW4ejcjGMH9wLQs3c/pj41iyplFU/Mep3IC2eqH9epG8PHP0RqcoJ6W9vXrcLFzR07R2cSYq/SvnN3KisryM/LvatMB3ZtkSmfaoGpe2dUyioqC3NQlitAWYW+tTP5lw8CYNG2F86DZ4CyCpcRsyhOuKB+nJ3veMqyk9TbyopYj6GdK/qWTpSmx2LSojOqqgoqi/PuOE/rmYtwGT6L1N0/1erzFLd2vUBx3XCfdswO6qeZMOKWOruYUqVUkVNciaJCSZUKnM31ORiTD0CvlhbM8HOmSgmzAly4kFpc/ThnU8Z3siMp/0YvjvXnsnC1MsTJXJ/Y7FI6u5hQUaUiT3Hvc5dfySjhr1MZPNv7/q80FUKIB+F6geK6EX178spj4zWURtxKfToGVihV2Jno8biPE5suZNX+kxVCCCFEoyYjIoT4DzlZmejrGxAfE02rNvFUlJWhbWhEVVUVAHq6emhpa6OrW9209vpVQRfPnGDVrz9gY3dj+PmwscEcDw/DwtIar45diYuOQk9Pn/iYK+p1bO0deXjGrP/Mc+ncKdp27KoeYi/uXUVBFtq6+ijSYzHOSkRZUY62viEqpRIALR090Nau/i+gRfV7W3TtDGl7f0PPwl69LVufMeRHhqNrYomZW3cUqTFo6+pTmhajXkffwv4/G1GX56WTGR5KZXEell596uopi1tISM9hzYFztVKEKCkt58UFaxnm7cWEvp35auUeLsWns/SNKSRl5hGy7zS5RQq827oyyr/D/YdvIrKKK9DX1SY2W0FinjHllUoM9bRRqlQA6Glroa0FejrVn9Xr38dnkov4LSINe1M99bbGdLQl/Fo+lka6dG9uRkyWAn0dbWKyStXr2Jvp37IJ58pTGUSml7D9cg5tHYx5JvQKwV3tOXwtnwGeVnXxEgghRK2LT8lg9c5DtVKAWLxqKyWKUkyMDXk6eDglpWU8//FiAgN6MHaALz+GbKdKqWTfsXOs++6dWkjfdNSnY2A7B2N0tLX46Ugqbezvr5+WEEIIIZoeKUQI8R/6DAqssdy5h+9N13v61XeB6obVKYlxdPPpzaTHn1bff70/ROeeN6aAadPh7pvTtuvUjXadut1+RXFbVp0H1Vg28+hx0/Waj3kFqG5QXZqViHlrHxwHPKa+/3p/CDOPG40XTVzv7uSyvqVDrfSZaKp+2XqUysoqXGwt6NPZg1V7T5KUmc9Iv/aUV1Ty195TWJubYKSvi6G+HpamRgzq3prXftjIhIDOpGTnM75PJwCOXY5na8QlTAz06dfVk4PnYjA1MqB1czv6dfEEID23kLUHzqr37+ZozXCfdgAolUoWrT9IUL8uFJZUX3346uSBzP5+HQDN7Cx5Obg/kQnpbDx8XgoRd2FQ65on93s0v3kj1Vf6Nweqm3Mm5pbi42bOYz6O6vuvz43d0/XG4zs4mdx1nsnd7Jnc7UZBcs9zXe56G0IIcT9+Wr2disoqmjnY0rdnB1ZsCSM5PYtR/Xwoq6hgxeb92FiaYWigj5GBAZbmJgz268orX/5M0JDeJGdkq6dQijgXxZawYxgbGTLApzMHTlzA1MSQNm4u9Pep/p01PSuX1TsPq/fv7uLAiL43fv8Z5NuFxau24NWyOUqlkgV/bmJSYB8KihXo6ery3JSRrNtzhCfGD36wL1QjUJ+OgVpaWnwY6H5XjxFCCCGEuE4urRaiFjk3d7/vxtSifjK0bS4Fg3qoq4cLVUol2QUlKMrKqVKqaGZnQdiZaAD6dGrFs2N6U6VU8XJwf87FpqgfF9y/K4kZeeptrQ47g7ujNU425sQkZ9KtdTMqq6rILVTcUZazMSkoyivZdSKK3SejbrpOZEI6y3ce58WJ/e7reYvba25lWCtNOYUQoj7q5uWBUqkkO68ARWk5yiolLg627Dt2DoC+PTvw/JRRVCmVvPr4eM5GXQOgq1crJgUGkJCaqd5WyI6DuLs44GxvTXRCCt3btaKysoqcgqI7zuPp5sz/Xp9BSmYOZyJjUZSVsePwKXaFn1avs+3gCUYE9LzFVkRtkWOgEEIIIeojKUQIcZc+eaP2TkY/NXEIKUnxXDxzguVLvmXeWy+Rm51503XDdmxWNwG8cuk8Lz8eVGs5RLXY39+otW1d/GIiZVlJ5F3YT+LG+Vz76z2qyv59Qjv2jzdJ3fUT2cc3AZB3IaxWczR2mfnF6OvpEp2SRUJ6LmUVlahUUPX3NFt6Ojpoa2uhp1N9uLs+zdbJK0n8tPkIDlam6m1N6NuFrPxiyiqraN/Ciez8EvR0dYlOuvGZdLAy45kxvdX/ro+GAOjq2Yx3pw1lTK8ODOreBoDlO49zKT6NLUcuci01myc+X4GTjQUHzt6Yukvcu+sNo2vDxF8vkpRXxrH4Ap74K5KTiYUArD2XyfcHk3ltQwyVVap/PW712UwWHUrmox1xqFQqwqLzajWXEELcTGZuPvp6ekQnpBCfkkFZRQUqlUp9/NPV1UVbSws93eoB8Nen6zl58SpLQrbhYGOp3lbQkN5k5RVQVl5BBw83svIL0dPV5Wp8inodB1srnpsyUv3vn6MhsvMK+WLpaub9HIqVmSnd2nnwwbMPM3agH4P9uwJw+nIMndu0kClGa1FdHAPPpxQxf38SPxxOoaS86l/ryTFPCCGEEPdDpmYS4v/5Zu5bPPXyW5w8chClUomunh5x0VFkZ6TzwtsfA5CSGMeO9aE8Pus1PnnjeV776Gu+/eRtmrm2oKqqkqkzXwRAUVLC2j9/UW/b0tqGEROmqJfdWrXGuZkbzs3cuHrpPJnpqejo/PtjefbEUVQqFS5uLQBo3a4jNvYO/1pP3Fp86Mc0GzWbgqgjqFRKtHT0KE2Lpjw/E7eJbwFQmpVI9rENuAx/ntjf38D9oY+IX/0JhnZuqKoqcR5a3dyxqkxBxoHl6m3rmlpj5zdBvWzk2AoD22Ykb1tIy0c+I+/CfvIvHcC669AamfQsHFAplSgrqufmtezQl5xTW+v6pWg0hvZsW2PZ28vtpuu9+XD1VBDznx9HQnoO/h1aMGPkjenSrveH8PnH4zu2dL6nTL07tVL/PHVIT6YOuXGyJnzh7HvaZlP18c54ZvdtxpH4ApQqFXraWkRnlZJZVM5bg6vfq8TcUjZcyOb5Pi68sSmWjwLd+WRXPG5WhlQqVcz0r34fFeVVLD+Zod62tbEuEzrbqZdb2RrRzNKAZpYGXMu5MVf2+E7V67yyPpryKiW6Ojo1Mp5MLOSzkS3543g6l9JL6OthydbLOXX2mgghBMCw3t1rLPt0anPT9d5+ahJQ3Zw6PiWDXl3bMTP4xvSj1/tD+Ha+cTzt1KbFXWWxsTTj9Scm/uv2gO43piDs6tWKrl6t/rWO+G+aOAZ+dyCJtvbGlFep0P67ePVPcswTQgghxP2QS1KE+H9GTJzCltUrOLRnG30GBVJUkI+JiSmR528MLUdLCxXVV8aqVCqiIy9QmJ+LiZkZ+Xn39sv42CmPM/ahx7gWHUVFeTmVlZXq+8L37iA5MY7oyxc4dzLivp5fU2brN4HMI6vJPbcHq06DqFIUoG1oSnH8efU6WmjB383/VKgoSY6kqiQfHUNTKovz7juDsqJU3RQboPno2TgPnUlR3LmbjpgQtc/VwbpWGlOLujehsy2rz2ay50ougzytKCirwlRfm/Opxep1tLS0rn9kUalURKaXkK+owtRAhzxF5X9s+c6pVCq+CUtiXCc7jPV1KK1QolT+e2SEEELUd27O9rXSmFo8GJo4BmYXVzC2ky1eDsbsvZorxzwhhBBC1CoZESHE/+Pp1YFli76mbceuaGtrEx15gRaebamsrFCvY2fvRHzMVXZsCCU/NwePth2wc3CivKwMjzbt1esZGRvz8IxZt93nni3rSIq/RsK1aGa+/Dahv/9Ir/5DcWtV3SD3mdffByAuOopO3X1q+Rk3HSbNvEjZtggTt45oaWtTkhSJkbMnqqob762epT2K9Fiyjm2gsigXY5e26Fk6oqwsw9jlxtWCOgZGOA2ecdt9WncdStKm+VQW59F83JskbZyPc+Bz6BqbA5AetpyKgky0tHXQMTCq/SfdhMz+fh3znx9XK9saNedHFs4O4lJcGpEJ6UQnZTJ3+gi2H7tMRm4Rqdn5vP9YIEYGemyNuMTPm4+wdu70f23nyMU4vl93gJcm9qNnW1e2H7vM92sP8MsbU3CwMuPdpVtxtDIjMiGdBS9O5LftEeQWKqRQ8jcvBxMWHUqho5MJ2tpaRKaX4GlnRMU/pkiyN9UjNlvBhgtZ5CoqaetgjKOZHmWVStraG6vXM9LXYYaf0233eSWjhAMxeVxKK6G5pQELDiZTXF6Fib4OHZxMWHw4hed6O2NuWP0rVPfmZiw+lExWcQVTe9jfZutCCHFvXvhsCd/NmVkr2wp8+j2WvP88F6MTuBybyNX4FD55cRqR15L4bvkGXn50PN4dW/Pd8o3oaGuTnJHNJy9OU0/v9NfW/aRl5ZGZk1/j9utWbg1jSeg29v06D4Cvfl1LRWUlWlpavPlkEM9/spg27i4kpWfz+cuPA6BUKnn729+xt7HEydaK0QN8ee2rX3h0zCC8O7aulefd0GjiGPiotyO/HE2lpFzJTH9n5oclyTFPCCGEELVGChFC3MTHC35V//zcGx8CMHz8QwC8/fn3AHz4zU8ADB1T3ath1lsf3/V+DAyNSEmKZ+CImidPB4+agJ3Dv/9YuL7vK5fOY2MnUzPdC88ZC9Q/u46v7sVg51t9dWDLaZ8D4PHEfABsvccA4DZhzl3vR1vfkLKsJCw79MOyQz/17Y4Dn1AXIQAc+k6t8bi8C2EYu7ZH/Nt7S7fy+kMDOXzhGkqlEj1dHa4mZZKeW8gHj1VPM5GQnsOaA+eYHdSP2d+vY97MUXzw6zbcHa2prFLy3Lg+AJSUlrNsxzH1tq3NTZjUv6t62cPFDld7K1ztrRjm7cVHy7aTX6zgwNkYFs0O4uctR9l3+gq2FqagUuHmYH3TzH7t3bmWmqVeHubtxZmrSepllVJJkaIMM2MDAAZ09WTNgXO196I1AgsmeKp/fmOgK3BjuqTPR7UEYP44DwDGdLAFYM7gm0/RdSuGutok5ZXR2t6YhRNvnPSaO7zmFCVP+DiqT8gATPzH1BYAYdF5tHc0Rggh7sY73/3Om08GcejUpb+PcbpciUsmPTuXj2Y9AkB8Sgardx7ilcfG88JnS/jylSd4d8EfuLs4UFVVxayHRwNQUlrGr2t3qbdtY2nG5OF91cuebi64Otnj6mRPYJ8efLDwT/ILi/Hv4kVsYqp6vfNX4/jpwxd4+9tlXLgaT8fW7gBEnLvCN28+xS9rd9a4/brJw/sSfjZSvfzq4+NRlJYx+/Pq353LKyopKinFxtJMvc6Fq/F4ujnzxPghvDhvCZOH98Wvc83pF5uiB30MDGhlSUArS/XtcswTQgghRG2SqZmE+IfabER93Q9fzeWn+Z+yfMm3LP7yI6qqqtiyZgUAr374Jc7NbvyxcH3/NytCpCTG8euCL4HqHhFPv/purWdtzOqiAXTihq9J2jSflB1LSFz/FSplFZlH1gDgPvlDDGyb/Wv/+pb/LiCVZiWSvLW6yGTZoS+O/abVetbGYNKAbqzad5qdxyMZ2rMtBcWlmBoZcC7mRjNNtLRQ/WNqrUtxaeQVKTAzNiC3qOSe9rt061E6tHDC3dGGmaP9WbzhEJfi0tDT1WX3ySji03O5FJ/G8cgEyisqqaz6d3PH/2JpasQbUwZhoKdHTkHx7R/QyNVFw8uv9yWqt3ur7X8Y6M6bm2L5+Ugq34YlsfVSNgBrzmbWWM/BTJ9VpzPUzaz/v74elmQWVZBRWF5Lz0AI0RRMHt6Xv7aGsf3QSYb17k5+UQmmJoacibqmXkfrxuyRqFQqLkbHk1dYjLmJETkFRfe035/X7KCDpzstmjn+676Hhvflh5CtxKdmoqf339evlZSW3XIf+UXFvLPgD96ZOZnCYgVd2rZkzoxgElJrfr9eH1mhxb97EzRmmjz2AUz94zLNLQ1YczbzX8c+BzN99Xo3O/b19bBkWk9H9T7l2CeEEEKIW5EREaJJO3MsnCNhu7G2tWfsQ48BUFiQz5bQP0lLSaJ/4GiyMtJIiLmKnZMz3Xx78+eS73D3aEPg+MmYmlVf2b5v20ZSkuLV2w0cNwlr2xvDlcc9/AS29o7s2bKOo2G7OXMsnBETprB+xa/k5WRjZmnJhKlPEnXxHKt//4nEazE89+aHNRpgt2zTjsvnT3M64jCxVy9TVFBAbnYWT8x6jYWff4BH2/Z09w+gpadcPQZQcPU4+RfD0DO3xb7PZAAqSwrIPLKa8pwUrLsOozw/g9L0WPQtHTFv7UvKzh8xcmqFre94dI2qr9LLObWdsuxE9XZtfcahZ26rXrYPeBh9C3uyT2wh72IYhVePYec3gfSDf1FZmIOuiQUOfadSnHiRtP2/U5oeh+v4N2o0wDZ2aUNR3DkKrh5DkXKFSkUhlYXZuAx/noR1X2Ds0gbzNv4YO3vSlLV3d+S7NWF0buWMtrY2l+LTaN3MnorKGyf+Ha3MiEnJYu2Bs+QWlNDO3RFHa3NKyyvxcr1xksXYUJ9nxvS+7T4XrjtI+MVr9O7YkoSMXCoqq+dKdrYxZ0BXTwb3qG4OeiUxk55tXflhwyEG9WiDh0v1FYORCensPX2VC9dScXWwIiE9lxNRiehoa/PcuD5k5hfzw4ZDKMrKsTQ1okhx65M5jc3xhALCovOxNdFjcrfq78yC0kpWn8kkpaCcYV7WZBSWE5tdiqO5Pr5u5vwYnkIrWyPGd7LF7O+rNLdfziEx78ZrN66jLbameuplZ3N9jsTlq5fn70/CykiXpPwy3h7sqj755WJpwJN/T13x6oYYhrez4VhCIb5u5uyMyiEmq1Q9tcWmi9kcvpZPK1sjHMz02RmZg5GeDgGtLIjJUrDxQjbDvKz58UiKumloj+Zm7IzKxclcn8e8/33STwjRdHXwcOOb39fTpW1LtLW1uRgTT1v3ZlT8o2eYo60V0QkprN55mJz8Qtp7uOFka0VpeQXtWrmq1zM2NOC5KSNvu88Ff27k8OlL9OnWgYTUDIoVZeyJOMv5q/G4OdmhVCopL6/Eu0Nr2rZoxrINuwka2gefTq355o/1ZObk88S4wbz8xc/Mf+PGdJV7jp7hUnQ8P4Rs5eng4Yx69kOG9OrGriOnmTqqPxeuxrHwr83YWVsAsGjlFp4ODmTltgN888f6Rj8SQo59QgghhGiqpBAhmrSdG1fz8gdfoKt746NQqiihSlmFo3Mzjh3cy9Cxk0iOv0ZedhY2tg44ujSnID+XivJ7PGH49y/9SqUSRUkJVrZ2nAgPY8LUJ3Fv5cnEaTP49uO3uXDm+N8NsDuRGBeDeytPvDp2patPL35fPJ/+gaNRqVQkJ8TRvkt3crIyURTf29VwjVH28Y24T3ofLZ0b762yXAHKKvStncm/fBAb77GUZSZQUZiNnoUtBjbOVJbko6q816u5qt9blVKJsqwEPXNb8iMP49B3KkaOrXDsN4340E8ounZG3QC7NCMOQ8dWmLp3wtzTm5Tti7HuOgxUKkqzEjF170xFYTbKMrlaHmDJK5PUP7/zyFAAgv+eUul6f4iFL1VPlzY+oDMA7z827K73Y2SgS0JGLs+N66OezgnA1d6Knm1d/7X+9X2P7dMJR+sbU2+1dXXg59ceUi87WJmx+qMn1MufzxxdYztHLsXj4WJLU7HxQjbvD3VHV+fG1a+KCiVVquoTKAdj8hnb0YaE3DKyiyuwNdHD2cKA/NJKyqvuvHnm5G72fLU3EeXflxJnFJUzu18zvtqbSE5JJTYmerd8vKKiusG8pZEux/++GnRwGyt6tbDgzU2x6Gpr0dbBGF1tLWKzS2lla8ToDjakFpRXNw111CEupxR3a0MsDXUoKquitEKJoZ4MTBVC3PDzRy+qf37/mSkATAoMAFD3h/jh/erRsxOH9ALgw+drTvF4J4wM9ElIzWDWw6PV0zld9+vHs9U/O9haMcjvxrSFj44ZBMBDw/vVeMwb0yfWWB7o24WBvl3Uywd+/6LG/Yvefa7G8rOTRwDw6UuPqm8rKS0jMS0Ln06Nryghxz459gkhhBBNlfwWIJq0IaMn8tP8Twld9iNlpaUApCTGU1FWhkqloqqqiqyMVAyNjEmMiyEjLRl9A0MK8vLIy8lRb6d/4GgenjFL/e+foyEA1v25lOVLvuXKpfP4BgwEqgseKUnx6OrpUVlR3Sw5LvoKq3//icrKCjp06VmjAbaltS3XoiM5fng//YaNoriwEGMTU+ydnCkqLEBbW5uE2OgH9MrVfzY9R5O06RvS9i1DWVH93pZlJaKsKAeVCpVSSUV+Btr6hpRmxFGem4a2niGVxflUFuWqt2PdbRhOg2eo//1zNARAxoE/SdmxhJKky1i2rz5ZoCxXUJaViJaOLqqq6isZFakxpO3/HVVVBaYtutRogK1nao0i9Sr5kYex7jqMqtIidAyM0bd0pEpRiJaWNor0a4jqhtS1bd6fu9Tbvf7fT2eMwtXe6l/rTnx/KT9sOMRXq/ayKfwCAKv2nVbff70IsWL3CY5HJtxyn+m5/57aZ1L/rozy73DvT6aBGd3Bhm/Cklh2LI3Sv094JOaVUV6pRAUoVSoyiiow1NMmLqeUtMJyDHW1yVdUklty4yrhYV7WzPBzUv/75xWhUF0ifNzHkV1Xqj/b9qb6/BaRRmmlssaJmOS8MvXUTAM8LdW3R2WWoKutjVKlokpZfUJnV1Qu34Yl0aulBWM62pJdXEFZpRIvB2M87IxYcSoDGxO9Gk1DUwvKMdLXIa2gnJKKO5/CSwjRtL3w2ZJa3d7nLz/OH5v2qbd7u+2Pe+FjFv61mS+WrmbD3qNAdUPq6xxtq4+Xyzft5dj5K/+5nU9+XEV6Vu5/3v9PxoYGzJkRjKeb8x2t35DIsU8IIYQQTZWMiBBNWhdvf7p4+6uXrzeD7tzDt8Z63XxuTOEy6fFWd7WPm/VyuL6fVz6ovkJsxITqq95+33Kwxnr/vwH2R9/+ctN9THmy9ntbNHTmnj0x9+ypXr7eiNrMo0fN9Vr7qH92HPDYXe2j+ZhX/nXb9f24T/4AADu/CQB0fGdzjfX+fwNsj+nf3nQfToOfvKtMjUFycrL656OX4th3+iq2FqY8MqT6vcsvLmXV3pMkZeYz0q896bmFRCdn4WRjjn+HFixadxDP5vYE9euCubEhAFuOXCQh48bJj4l9u2BnaapedrGz4PD5G3Mof/nXHizNjEnMyOXDxwPV0xc0t7Pi6b+ndHrhu9WM8u/A0Ytx+LdvwbaIS0QnZ/Ls2Or71x88x4FzMXi62OJobc7WiEuYGOjTr6snV5OzWHfgLMP92rN4/SF1M21vLze2RVzC2daCJ0f41Xhdrve+aEx6uprT0/XGCJLrjTd7NDersZ6P2411HvO5u2kdXunfHAB7M33OvV79nTC7X7Obrrv8Ea9/3XY90+30dL2RuYOTifrn/9809J/3CSHEzRw5G8meo2ews7Lg0THVF7DkFxWzYksYyelZjOrnQ1pWLtEJKTjbW9OrazsW/LmJ1u4uTBoWgLlpdfPgTfsjSEi50YchaFgf7P+eDgmgmYMNB09eVC/P+zkUK3NTEtMymTvrkRvHPic7nnuoeqqn5z5exJgBvoSfjaRXt3ZsOXCcq/EpPP/3/Wt3HybsxHk83ZxxsrVmS9gxjI0MGeDTmavxyazedZhR/bz5fsVmdZNtn05t2XrgOM72NjwVdPejGBsaOfYJIYQQoqmSERFCCCE0Lj4+nq+++gpvb29Gj74xTcS6g+d4bfIAZoz0w1C/+uo9RVk5VUoVzewsCDsTTXt3R3R1tMnOL8be0pRmdpbkFSkor6j8r939y9TBPQjZd1rdaDott5AZI/0wMtAj+w6aSCvKqqfzsjIz5uil6n4xw3y8eCW4P/vPRLM67AzujtY42ZgTk5yJp4st4wI6k51fXKOZdgsnayxNjSgsKaO0vKLGPsaMGcOcOXM4ffp0oyxKCCGEqLZm12HenB7EzOBADA2qmwUrSstRVilxcbBl37FzdPB0Q1dHh6zcAuytLWnuaEdeYTFlFRW32foN00YPZNW2A1T+3YciLStXvc+svILbPv56k2orc1OOnosEILBPD157fAL7jp0jZMdB3F0ccLa3JjohBU83FyYO7kVWbkGNJtstmjlgaW5CYXEJpWXS7FgIIYQQorGSERFCCCE0IiEhgdWrVxMSEkJERAQGBgYMHz6ccePG8dZbbwEwrk8nvly5F3srMx4e1L36cem5lFVUYqSvR5VSSVpOIUYGelyOTyc1uwADfT3S84rIKSjB1qJ61MMIv/a3zKKlpcWMUf6Me+dnoLrp9U+bj6Aoq1BvAyAxM5cfNhyiqLScwT1uzFsdmZCOnq4OSqUKpbJ6moXtEZeJuBxPQOdWONlYcPBcDFZmxnT2cEFfT5c/dhwjeEC3Gs20U7MLMDbU50piBiWl5eriC4C3tzc//fQT8+bNw8PDg+DgYIKCgujcubP6qlUhhBAN34TBvZj3SygONpY8MmoAAPEpGZRVVGCorV997MvKxcjQgEsxCaRk5lQf+7JzyckvxM6qetTDqH4+t9oNWsDTkwIZ+dyHQPUUS0tCtlFaVq7eBkBiaiYL/9pMsaKUIf7d1Ldfjk1ET1cXpVJFVVX1sW/bwRNEnIuib4+OONtZc+DkBazMTenSsSX6enr8tmEPDw0PqNFkOzUjB2NDQ6LikihWlKmLL0IIIYQQonHRUslllaKJOXXqFN27d+fj73+lhUfja4B33bXoSN55/nFOnjxJt27dbv+ARuD6e+sxYwFGTp6ajlNnFKlXif5pVoN8bxMTE9XFh6NHj2JgYEBgYCDBwcGMHDkSMzMz9fu4/5tZdPZw0XRkjTsbnUy/lxZw8uRJOnbsyL59+wgJCWHt2rXk5ubi6elJcHAwwcHBdOzYsV4XJa6/twsmeOBpa6TpOPXC1SwFs9ZEN8jPsxDi3l3/Pjz0x5d0aXtn0+A0ZWciY+n9yGsN8rtSjn3/Jsc+IYQQommSERGiybG1tcXY2Jh3nn9c01HqnLGxMba2trdfsZGwtbXF0MiY6J9maTpKnTM0ajjvbXJysrr4EB4ejr6+PsOGDWP58uWMGjUKc3Pz229EAKCnp8eQIUMYMmQIixcvZs+ePYSEhLBw4UI++eQT2rRpoy5KtG/fvt4VJWxtbTE2MmTWmmhNR6lXjI0MG8znWQghxN2RY9/NybFPCCGEaHqkECGaHFdXVy5fvkxWVpamo9Q5W1tbXF1dNR3jgXF1dSUqUt7b+iAlJYU1a9YQEhLCoUOH0NPTY+jQofz++++MHj0aCwuL229E3JKenh7Dhg1j2LBh/PDDD+qixHfffcfcuXPx8vJST9/Uvv2tp6Z6UFxdXbkcGdUkPqN3o75/noUQQtw7OfbdnBz7hBBCiKZHChGiSXJ1dZVffBspeW81JzU1lTVr1hAaGsrBgwfR1dVlyJAh/Pbbb4wZMwZLS8u72l5UYkbdBG1g7uR10NfXJzAwkMDAQH744Qd2795NSEgI8+fP58MPP6Rdu3bqkRJeXl4PIPV/k8+oEELcEHUtSdMRGoSG/jrJsU8IIYQQQnpECCGEuA/p6enqkQ8HDhxAR0eHwYMHExwczJgxY7CysrrrbSYkJODl1ZaSEkUdJG6YjI2NuHw58q5PYpSVlbFz505CQ0NZv349hYWFdOjQQV2UaNOmTR0lFkIIcSvVxzovSkpKNB2lwTA2Nuby5ctyQl8IIYQQooGSQoQQQoi7kpGRwdq1awkJCSEsLAxtbW0GDhxIcHAwY8eOxdra+r73kZCQIFMY/ENtTF9QWlrKzp07CQkJYcOGDRQVFdGpUyf19E2tW7eupbRCCCHuRF0c6/7880/+97//8c477zBu3Lha3fbt5OXl8eijj6Krq8tvv/2GmZlZrW5fpvIRQgghhGjYpBAhhBDitjIzM1m7di2hoaHs27cPLS2tGsUHGxsbTUcUd0GhULBjxw5CQkLYuHEjxcXFdO7cWV2U8PT01HREIYQQd2nTpk2MGTOG1157jc8//1wjGaKiovDz86Nbt25s27YNPT09jeQQQgghhBD1jxQihBBC3FRWVhbr1q0jJCSEffv2oVKpGDBgAMHBwYwbNw5bW1tNRxS1QKFQsH37dkJCQti0aRPFxcV07dpVXZRo1aqVpiMKIYS4jdOnT9OnTx+GDh1KaGgo2traGsuyf/9+Bg8ezGOPPcaPP/6IlpaWxrIIIYQQQoj6QwoRQggh1LKzs1m/fj0hISHs2bMHlUpF//79CQoKYvz48djZ2Wk6oqhDJSUlbNu2jZCQEDZv3kxJSQndunVTFyVatmyp6YhCCCH+n+TkZHx8fHByciIsLAxjY2NNR+LXX3/liSee4Msvv+TVV1/VdBwhhBBCCFEPSCFCCCGauJycHNavX09oaCi7d+9GqVTSt29fgoODGT9+PPb29pqOKDSguLiYrVu3EhISwpYtW1AoFPTo0UNdlHB3d9d0RCGEaPKKiooICAggMzOTY8eO4eTkpOlIam+99Rbz5s1jzZo1D7xfhRBCCCGEqH+kECGEEE1Qbm4uGzZsICQkhF27dlFVVUVAQIC6+ODo6KjpiKIeKSoqqlGUKC0txdvbm+DgYCZOnIibm5umIwohRJNTVVXF+PHj2bt3L4cOHaJz586ajlSDUqlk0qRJbNmyhYMHD9K9e3dNRxJCCCGEEBokhQghhGgi8vLy2LhxIyEhIezcuZPKykr69OlDUFAQEyZMqFdXUYr6q6ioiM2bNxMSEsLWrVspKyvDx8dHPVKiefPmmo4ohBBNwquvvsr8+fPZuHEjI0aM0HScm1IoFPTr14/ExEQiIiLkGCGEEEII0YRJIUIIIRqxgoICdfFhx44dlJeX07t3b4KDg5kwYQLOzs6ajigasMLCQnVRYtu2bZSVleHn56ceKdGsWTNNRxRCiEZpyZIlPP3003z33XfMmjVL03FuKS0tDR8fHywtLTl06BBmZmaajiSEEEIIITRAChFCCNHIFBQUsGnTJkJCQti+fTvl5eX4+/urTw67uLhoOqJohG72/12vXr0ICgqS/++EEKIW7dq1i8DAQJ555hkWLFig6Th35Pz58/Tq1YuAgAA2bNiAjo6OpiMJIYQQQogHTAoRQgjRCNzqyvQJEybIVAjigcrPz68xEqeiokJG4gghRC24dOkSfn5+9OrVi40bN6Krq6vpSHds+/btjBgxglmzZvHNN99oOo4QQgghhHjApBAhhBANVFFREVu2bFHP1V9aWqqeq3/ixIm4urpqOqIQ5OXlsWHDBkJDQ2v0JrlelJDG6EIIcWcyMjLw8fHBzMyMQ4cOYW5urulId23RokU899xzfP/99zz33HOajiOEEEIIIR4gKUQIIUQDUlxcXKP4oFAo6Nmzp7r44O7urumIQvyn3NxcNmzYQEhICLt27aKqqoqAgAB1UcLBwUHTEYUQol5SKBQMGDCAa9eucezYsQZ9scFLL73EggUL2LJlC8OGDdN0HCGEEEII8YBIIUIIIeq5kpIStm7dSkhICJs3b0ahUNCjRw918aFFixaajijEXcvJyWH9+vWEhISwe/duVCoVffv2JTg4mPHjx2Nvb6/piEIIUS8olUqmTJnCxo0bCQsLo2fPnpqOdF+qqqoYO3YsYWFhHD58mI4dO2o6khBCCCGEeACkECGEEPVQSUkJ27ZtIzQ0lE2bNlFSUkK3bt0IDg4mKCiIli1bajqiELUmOztbXZTYs2cPKpWK/v37ExwczLhx47Czs9N0RCGE0Jj33nuPuXPnsnr1aiZMmKDpOLWiqKiIPn36kJOTQ0REhEzTJ4QQQgjRBEghQggh6gmFQsH27dsJCQlh06ZNFBcX06VLF3XxwcPDQ9MRhahzWVlZrFu3jpCQEPbu3YuWlhYDBgwgKCiIcePGYWtrq+mIQgjxwPz+++88+uijzJs3jzfeeEPTcWpVUlIS3t7eNG/enH379mFsbKzpSEIIIYQQog5JIUIIITSotLSUHTt2EBISwsaNGykqKqJz587q4oOnp6emIwqhMZmZmaxdu5bQ0FD27duHlpYWAwcOJDg4mLFjx2JjY6PpiEIIUWcOHDjAoEGDmDZtGj/99BNaWlqajlTrTp48SUBAAMOHD2fVqlVoa2trOpIQQgghhKgjUogQQogHrKysrEbxobCwkI4dO6qLD23atNF0RCHqnYyMDNauXUtISAhhYWFoa2szaNAgdVHCyspK0xGFEKLWREdH4+PjQ5cuXdi2bRv6+vqajlRn1q9fz/jx43nzzTf59NNPNR1HCCGEEELUESlECCHEA1BWVsauXbsICQlhw4YNFBQU0L59e3XxwcvLS9MRhWgw0tLS1EWJAwcOoKury+DBgwkKCmLMmDFSlBBCNGg5OTn4+fmhpaXFkSNHmsR32tdff82rr77K0qVLefzxxzUdRwghhBBC1AEpRAghRB0pLy9n9+7dhISEsH79evLz8/Hy8mLSpEkEBQXRrl07TUcUosFLTU1lzZo1hIaGcvDgQXR1dRkyZAjBwcGMGTMGCwsLTUcUQog7Vl5eztChQzl//jwRERG0atVK05EeCJVKxdNPP83SpUvZuXMn/fv313QkIYQQQghRy6QQIYQQtai8vJw9e/aoiw95eXm0adOGSZMmERwcTPv27TUdUYhGKyUlhTVr1hASEsKhQ4fQ19dn6NChBAcHM3r0aMzNzTUdUQgh/pNKpeKJJ55gxYoV7Nmzh969e2s60gNVUVHB8OHDOXnyJEeOHJGpKoUQQgghGhkpRAghxH2qqKhg7969hISEsG7dOnJzc2ndujXBwcEEBwfToUOHRtlgUoj6LCkpSV2UCA8Px8DAgGHDhhEcHMyoUaMwMzPTdEQhhKjhs88+46233mL58uU8/PDDmo6jEXl5efj7+1NeXs7Ro0extbXVdCQhhBBCCFFLpBAhhBD3oLKykn379hESEsLatWvJycnBw8NDPe1Sp06dpPggRD2RmJjI6tWrCQkJ4ejRoxgYGBAYGEhwcDAjR46UooQQQuNCQ0MJDg7m/fff54MPPtB0HI26du0aPj4+tG3bll27dmFgYKDpSEIIIYQQohZIIUIIIe5QZWUl+/fvVxcfsrOzadWqlXrkQ+fOnaX4IEQ9l5CQoC5KREREYGhoyPDhwwkODmbEiBGYmppqOqIQoomJiIigX79+jBs3jj///FN+lwDCw8MZMGAAwcHBLFu2TF4TIYQQQohGQAoRQghxC5WVlRw4cICQkBDWrFlDVlYWLVq0UBcfunbtKn8cC9FAxcXFqYsSx48fx8jIiBEjRhAcHMzw4cMxMTHRdEQhRCMXFxeHj48PHh4e7NmzB0NDQ01Hqjf++usvpkyZwty5c3nnnXc0HUcIIYQQQtwnKUQIIcT/U1VVxcGDB9XFh4yMDNzd3QkODiYoKIju3btL8UGIRubatWuEhoYSEhLCyZMnMTY2rlGUMDY21nREIUQjk5+fT69evSgpKSEiIgI7OztNR6p35s6dy3vvvcdff/3F5MmTNR1HCCGEEELcBylECCEE1cWHQ4cOqYsP6enpuLq6qkc+9OjRQ4oPQjQRsbGx6qLEqVOnMDY2ZtSoUQQHBxMYGIiRkZGmIwohGrjKykpGjhzJ0aNHOXLkCF5eXpqOVC+pVCqmTZtGaGgo+/btw8/PT9ORhBBCCCHEPZJChBCiyVIqlRw+fJiQkBBWr15NWloazZs3JygoiODgYLy9vaX4IEQTFx0drS5KnDlzBhMTE0aPHk1wcDDDhg2TaVSEEHdNpVLx3HPP8dNPP7F9+3YGDhyo6Uj1WllZGYMGDSIqKoqIiAhatGih6UhCCCGEEOIeSCFCCNGkKJVKjhw5oi4+pKSk4OLiop52ycfHB21tbU3HFELUQ1euXFEXJc6dO4epqam6KDF06FApSggh7si3337LSy+9xI8//siMGTM0HadByMrKwtfXF319fcLDw7G0tNR0JCGEEEIIcZekECGEaPSUSiVHjx4lNDSU0NBQkpOTcXZ2Vo988PX1leKDEOKuREVFqYsS58+fx8zMjDFjxhAcHMyQIUMwMDDQdEQhRD20adMmxowZw6uvvsoXX3yh6TgNSlRUFL6+vvTs2ZP27dszYsQIBg0apOlYQgghhBDiDkkhQgjRKKlUKiIiIggJCSE0NJSkpCScnJyYOHEiwcHB+Pv7S/FBCFErLl++rC5KXLx4EXNzc3VRYvDgwVKUEEIAcObMGXr37s3gwYNZs2aN/B5yD7Zs2cKYMWOws7OjT58+hISEaDqSEEIIIYS4Q1KIEEI0GiqViuPHj6uLDwkJCTg6OjJhwgSCg4Pp1asXOjo6mo4phGjELl68qC5KXL58GQsLC8aOHUtwcDCDBg1CX19f0xGFEBqQkpKCt7c3jo6OhIWFYWJioulIDdLEiRPZsmULpaWlmJqaUlBQIP28hBBCCCEaCClECCEaNJVKxYkTJ9Qn/uLj47G3t1ePfOjdu7cUH4QQD5xKpVIXJVatWkVUVBSWlpaMGzeO4OBgBg4ciJ6enqZjCiHqWGhoKGvXruXKlStkZGQQERGBs7OzpmM1WGlpaXz//ffMnz+fkpIS4uPjcXV11XQsIYQQQghxB6QQIYRocFQqFadOnSIkJISQkBDi4uKws7NTj3wICAiQ4oMQot5QqVRcuHCBkJAQVq1axdWrV7GyslIXJQYMGCBFCSEaqREjRnDs2DFKSkpYt24dQ4YM0XSkRkGhULB3715GjBih6ShCCCGEEOIOSSFCCNEgqFQqzpw5oy4+xMbGYmtry/jx4wkODqZv377o6upqOqYQQtySSqXi3Llz6u+y6OhorK2t1d9l/fv3l+8yIRqJqqoqjI2NKS8vR1tbm0mTJrFixQpNxxJCCCGEEEIjpBAhRB1ISEggKytL0zHqFVtb27seOq9SqTh79qx62qXo6GhsbGzUJ+z69esnJ+yEEA3W9QLr9emb6rrA2lSOTfdyvBGiLsTFxdGiRQscHR15//33mTp1KqamppqOpTFN5Tuotsh3mRBCCCEaGylECFHLEhIS8PJqS0mJQtNR6hVjYyMuX4687R9UKpWK8+fPq68Wvnr1KtbW1uopTPr37y9TmAghGh2VSsXp06fV333Xrl3Dzs6uRlHifqacqz42eVFSUlKLqesnY2NjLl++LCfwRL0QGxtLixYtmnxDZfn9+O7d6e/OQgghhBANhVxKLEQty8rKoqREwZLZE2nT3F7TceqFqMQMZs5fTVZWVo0/pg4dOsSWLVv49NNPuXjxovoEXFRUlHr+9AULFsj86UKIRk9LS4tu3brRrVs3PvvsM06ePKn+TlyyZAn29vbqPjh9+vS566JE9bGphC8W/0ZLT686ehaaF3v1Mq8/89i/jjdCaErLli01HaFeuP778S8fPE8bdxdNx6n3ouKSmf7B9/JdJoQQQohGRQoRQtSRNs3t6dzKWdMx6q2wsDACAwNxdXVlw4YNXL58GQsLC8aNG8f8+fMZOHAg+vr6mo4phBAPnJaWFj169KBHjx58/vnnHD9+XD1F3eLFi3FwcGDixIkEBwfTq1evuypKtPT0on3nrnWYXoi611Sm+GmMU/O0cXehS9sWmo4hhBBCCCE0QAoRQmjYsp3HuZaawwePDr3nbVRWVaF7mxNRP2+NIK9IQU5BCZ8+OZxFGw6jpaVFfrGCNx8aqF7vpYXr8WxmR3JmPp8+OZyvQvZxKT6Dpa9NIikzj5Cws+QWKvBu25xRfu3vKe/+/fsZMGAAKpWKuLg4AgMD+fLLLxk8eLAUH4QQ4h+0tLTw9vbG29ubL774gmPHjqlHSixcuBAnJyf1SImysjLef/99QkJCcHG58yuOQ/74hcRrMbzy3qf3nLOysvK2/Sxee3oaHbr0oFXrtvQeMIT3Xn6Glp5tSE1OYs7HX6nXU5SU8N7LT9Nv6AgGDB3F3DdeoHW7DhQXFTJz9hwWf/0JpmbmdPPpRefu3vecWTRMCQkJtPXyQtEEphkzMjYmUqYZY/nm/ZyPjsfC1AQjA33GD/RlyNMfcHLl/8jKK6DPY3NI3PkLL3z+M9+98eRNt1FZWYWu7q1/V74Yk8h3f25ikF8Xggb78+eWMDJy8knJzOGjZ6dgZFj9O2r4mUi+W7GZl6eNwbuDJ9sOneTbPzez7OMXcbCx5MfVO8krLCY7v4DPX3q01l8PIYQQQoiGSgoRQmiQSqUiM6+Idm4OxKZmY2Koz1ch+2nn5sDB89f4auYoPl+5lxZO1pgZGfDwoO7qxyak57L71FUKFWW0c3NgcPfW/LjlKFVVSgD0dHV4criPev0nh/ugVCp5av5qAGJSs/n66dF8+PtO8osUWJgaAVBWUUmxogxrc2MAXg3uz+xFGwBoZmfJyxP7EpmQwcbwC/dciDA1NcXDw4Py8nLS09MxMzNjxIgR97QtIYRoKrS0tPDx8cHHx4cvv/ySiIgIQkJCCA0N5fvvv8fBwYGSkhJ8fX0JDw+nefPmt92mSqUiOyOd1u06EB8bjbGJKT/87zNat+tAxKH9vPv5dyz68mOau7fE1Myc8VNunFRLTojj4N6dFBUW0NqrAwGDhvHnz4uorKwEQE9fnylPPK1e387BiYqKcioqygEoLyujuLgIK2sb9TpKpZLfFn/DyAkPUVRUgI6uLsVFheTl5uDc3I3D+3aRk52FmYWlTNnXRGVlZaEoKWHMW0uwcW2t6Th1JjvhChs+nSlT8/xDTn4RPdq1AiCwd3dW7ThETn4hw3p1u+n6xYpS9kScIyYxDR1tbZ5/aDgHTl3iYnSCep1hvbrRqrkjAO1bNefhEX1Jz8kHIOzkRZa8+ww/rtnJnmPnGBnQAwD/Lm2JTUpTbyOwd3dOXY5VLz81cQhKpZLpH3xfuy+AEEIIIUQDJ4UIITRox4kocgsV6OnqsnLvabzcHBjj357eHVtyPCqRg+dj0dPVwdzYkPTcQvXjEtJzefPnLQzs5snUQd2wMTe57b7KKyqZu3w3L00IqHH7P3snFpaU0aWVCzNH+fHSwvU33U5kQgbLd5/k3UcG39NzBujRowf/x959x1VV/gEc/7D33qCIAxEVwQXixL1wb83SNEvNysyyXba0NE1z50pz5d574gDFLS5QAdl7z3vv7w/0Gr+stNAL+H2/Xr3yuZzzPN97OJd77/me5/neunULKLno9KIXcBRCiKelra2Nv78//v7+zJw5k8OHDzNlyhQuXbpEVlYWDRs2fKKla44e2E1Gehp6+vps27Aa9zr16NyzL74t2nDx7BlCgo6iq6eHmbkFyYmPLrzFRN3j24/fpWW7zvQbOgIrG9t/HOv9L6cD8PHbY/Bt0YZ63o0YPuZNPnt3rHqbsMsXKMjP4/jBveRkZ9GgYVM69ehD976D+ezdsdh07IqrWw1GvPE2X7w3ni9mzPsXR09UBjautXGq7a3pMMRz0q9Dc3zru/P29F/w9/agqqMtkbGJmBgZYmRo8Nh9pi5aj0oFLwcGUN+92lOPOXZgF+at282tqDiqOz953bfComK+XLiOScN7PfWYQgghhBCVmSQihNCgfWdvMmtcyZeUL3/dT+PaVZi7JYiIuBQKixW09KrOhfAY8guLqevmqN7P1cGKNR+/RFJ6NvvO3sTS1Ihufp6M6d7sL8ca+cN6qjtac+LyHTyr2lPL2ZYF209hqKeLhakRi3ac5tWuvly9F8fCHaewtShJbqw+GEpYZAK7zoRRt5oDr85Yz7D2jTh++Q4dG//3OxG1tbX/cx9CCPEi09bWxsvLCxMTE7p164axsTHNmv31+8EfHdu/W30x/8evPqZBY1+W/fwj9+6EU1RUiG+LNly9GEpBQT7unvXV+7m4ujFv1WZSkhI5un83FlZWtOvSg2Gjx/3lWMvm/UhuTjZVXN3QNzDkxrXL/LpoLta2dgCsWvwzw8e8SX2fxoScPEZSYjym5hacOnaYpIR4qteqjX/r9pw+dpilP8+kkV/z/3DUxIvi+IppNOo5ElNrh2c6zpX968lOTSAnLYn2b0xV32RxaOFnmNo4kHTvBoGT53J2yxLCz+xjyPSSGapBq2aQdO86fT5d+kzjq+g2HTzF6Us3qO32qP7auEFdMdDX4/MF6x67z/R3XqGouJjjodc4sOoSbw0NJKBJfQKa1H/s9jGJKWw9Ekx2bj4+Hm4UFStQKlU421nR3s+b3SdCqVezKrkFhRwKucyV8EiqOdkRGZfE2Wvh6Oho89bQQF79bC7VXRw4FnoNzxpV0dGRz7pCCCGEEABaKpVKpekghKhMzp8/T+PGjTn647h/Vax69cFQMnLysbUwYVCAT9kHqAGXImIJeHc+oaGhNGr0+OnzQgghnp2H700bDwb/Y7HqTb+tICszHWtbO3oOGPacIiwb1y5doH8HP3m/qcQensuvLjyCU21v7l8L4dbJPegZGVOjcQARIYcwMrcmJTqcxj1HErR6Ji51m1C3bR82fvYyTXqX1BDISo4jOyWe5kMncmTpV1St50da3D0adBpMyKaFdHn7B44s/ZpmA8ZjZG4FwOX968jPTFPH0qjnSHT1DQHYM/s9ur4zg/M7VuBStwkONUsudh9c8An6xmYUZGfQcXxJHZbds96l28Qf1f38fxsg7tYllr3RttKcyw9/b0ErvpNi1U/g4o27tBzxYaX5/QshhBBCgMyIEKLceekPdSCEEEKI563fsBGaDkGIJ3bt0CbsaniiraNLyv0IAOq06UlGfBRxty9hU7UWddv2wdTaAbvqntTvMECdNLh34QRRl06iUipp0HkIKdG3iQg5hGsDf26c2ImWlpY6CfFvGZpa0nL4exxZMpXcjFSMLazL4mkLIYQQQghR4cg8USHKqWlrD5WqC/GsrDtygZ82n+DT5Xv44wSpT5fvZd62k0yYuxkoqeXwybI9zNp4DIDle0NYsP0UHd5b+MxjFEII8Xz9/P1UkhLi/3nD/2jbhtX8MncG33/+Qan3oNnffsaqxT8z74evHtve/vtvDOrS8pnHJ8q/eu36kpuegqKwEPsa9YCSwu5aWlqolEpsq9Xm4q5VZCXHofVgOUjXBv6cXjeH26f24OrdAi1tbUK3L+P8juXUaNIWzza9OfnbjzTqMbLUWA06Dca3/1j1fw9nQwBUqduU0+vmkBZzB/sa9Ti7eREAOenJhGxaSFFBLkZmllw/to2kO2Fc3l+ynNDFPatJuhPGzaBdz+NwVSrfLPmdhJT0Zz7O2j3HmbVqOx/NWVXq79SXC9czf/0evv1lo/qxeet389b0XwDYfjSE2at38PHc1c88RiGEEEKIikBmRAihISE3otgdfB0TQ30CfGpx6PwtrM2MuR2TzKtdfbkdk8yWoCv0aenF8O/WMLqbHwDxqVnEp2YxsX9rvlp1AD9PV+4lpDG4rQ8Ltp9mxhs9+GrVAd7s3QIrM2MA1h2+QFp2nnrskV2aYqivB8DZm9HMfKMny/eGcPVePF7VnQBQqVRk5xVgZlTyJXvBjtP0aenF8csRD/rw5WJ4DFJnWgghKp4LZ89weM92jExMaN6mA0GH92FpZcPd8FsMHjmGu+G32LP1d7r2HsBbIwcy9NU3AEiMjyMxPo4xb7/PrG8+pZFvc6Ij79Br4Ev8umgun30/h9nffMqIcROxtCq583vr+lVkpD1azmbwiDEYGJa8t1w8F8zn389l/col3Lx2mTr1S4oPx8VE885HU5k4aghZmRl/avccMIzzwaee81ET5VGV+n5Uqe+nbjvW8gLA1NoBl7pNS237cPmjeu36lXpcW0dXvWQTwK2Te/Bs3RNzuydfYtOr06BS7aZ9Xweg84RppR73bNMLzzaPihj7dH0Jn64vPfE4L5LgK7fYdfwcxkYGtPNtwIHTF7G2MON2VCyj+3bkdlQcGw+eon+H5gydMpMx/ToDEJecRlxyKpNe7s2XC9bRzNuDuzEJDO3amnnr9zBr8qt8sWAdbw0NxNrCFIA1u4+TlpmtHntUnw4YGug/iOM2s98fxdItB7kaHoXXg8LX9xOS+fyNQQz/eDYZ2blsPxpCx2Y+3LwXC0CHZt78uGo7Wbn5z/OwCSGEEEKUWzIjQggN2Xj8Mm6O1jjZmBMRkwxAz+b1GdDGm0vhsbi72NKnpRcOVmbUrebAwAAfgm9E8VbfVnT1rcPJa/dQqlQMadeQ/q0bcOj8bZrXc2Pn6TC0tbXUSYh/y9LUkA8Gt8NAX5eoxDRikzPYd/YGwTeiyHzwhWrVwVCGtpd1a4UQoqLZtWkdVd1q4ODowr2IWwB06tGXwP5DuHbpPNVr1aZr7wHYOTjiXqcePfoP5XzIaUa9OYl2XQI5e+o4KqWS3oOHE9hvMEGH99PEvyUHdm1FS1tbnYT4t9p26s6aZQvJzMxAW1vnT20hytL/12eo3aIrzYe+o5lghNqGfSdxc7HH2c6a8Kg4APq082NQ55ZcvHEXd1cn+ndojoONJZ41qjKoS0tOX77JOy/1oFurJgRduI5SpWJYt9YM/1slRAABAABJREFU7NSSA2cu0cKnDtuPhqCtraVOQvxbXVs2ZvHG/WRk5aCjrc3563c4cPoiYeFRxCSmYGxowCevDaCKvQ15+YVlcUiEEEIIISo0mREhhIb0a9WAE1fuYGVmhLeHK/cSUtHSKllOQKlSUbuKPasOnGNY+8ZoPZh20LyuG3M2n1DPiDh8/jZL94QQEZvCqK6+1HS2of17C/nt49J31g1u99eFSZt6VGXO5hMkZeQwonNTFu04zes9/ElKz2HhjlPkFRRRxdaCb0Z1IyohjU0nLmNubEh8ahYmhvqYGxv+Zd9CCCHKp+59BxEcdBQLK2t8GvhxP/LuH5azUVHDvQ4bVy+j37ARaD9YzqaJf0uW/jxTPSMi6MgB1i5fRGTEbYa8+jrVargzsFNz5q3aVGqs3oOG/2UcPk38WPrzTFKTkxj48mhWLf6Z4WPeRKVSUZCfR9deAzAxNf1T++SRA9wKu8pvv8xn2Ohxz/RYiRdXenwUYYc3/+ekRFF+Lnt/mox9jboU5GbT+pUPyibASm5Ap+YcDw3DytwEH6/q3I1JUP+dUiqVeLi5sGLbYV7uEaD+O9WioSezV+9Qz4g4dOYSSzYfIDwqjtf6daJWVUfavPoJ679/r9RYQ7u1/ss4/Lzcmb16B0lpGbzauz3z1+9h3KCuqFQq8gsK6dfBH1NjQ2ZNfhWAm5GxuNjb8PPaXRQVK4hNSsXQQO/ZHSghhBBCiApCEhFCaIifpyt+nq7qtleNkiWRHKzMaOpRtdS2s8aVTOHv17pBqcd1dLR5rXszdXt38HV6Nq+Hs435E8cxuG3pJMXrPfwBmD4m8E/bujpYMbF/GwAcrc2YOqLLE48jhBCi/Gjo609DX39129PLBwA7B0d8mviV2vaLGfMA6N6n9NIzurq6DBs1Vt0+vHcHnXv0xcHJ5Ynj6DWwdOJ8+Jg3Aejae0Cpx/+/3aJtR1q07fjE44gXT+i2ZSgVRZjZueDWsDVX9q8jMykGj5bdURQVcnnfWowtbNA1METXwAhDU0tq+rZn35z3qdeuH5lJsdRt2weA+9dCuHVyD3pGxtRoHMC9i0HoG5li6+pO9cYBAGSnJhB2eLN6fEsnN2q36AqULP1UmJdNXmY6Fg5VnvuxqKiaNfCgWQMPdbtBbTcAHGws8a3vXmrbOR+ULK01oGPzUo/r6Orwev/O6vau4+fo3c4PZ/snn7U1pGvpJMW4QSW/134d/B+3uTqWN4d0f+IxhBBCCCFeBLI0kxAV2MMExUPd/DzViQIhhBDiWXqYoHioXZcevPb2+xqKRojSnDx8UCoU5GWkUFSQi0qpwNzOhbvnjwHg1rA1vv3HolQqaTF0Ignhl0v2q+1D/Q4DyEiIVvd17dAmLJ2rYWbrRMr9CJw9GqIsLiIvK+2xY/+/zKRY6rTqScCoj4m9eaHsn6z4Sw+TAg91b92ESS/3+outhRBCCCHEsyQzIoSoBB4umVQWSYjFO0+Tk1+IiZEBw9o34ouV+3CxtaCKnQX9W3uTW1DI2z9vpUvTOn+aoSGEEOLFFRN1j91bNpRJMmLBzG+5feMaPy75jYS4GOZOn4pbTXcMDAzVsyaE+Ds56cno6BuQej+CjPgoiosK0TMwRKVQAKCtq4uWtjY6Og++Dj1YBjP2xnnObf0FU2t7dV/12vXl3sUgjMyscKznTUrULXT09EmJDldvY2rtgG//RzOE/sjAxJy754+SnRqPTdVaz+gZi78TGZvIxoOnyyQJsWDDXnLzCzAxMuCNAV1KtYcHBvDpvDVUsbehiqMtAzu1KIPohRBCCCEqB0lECKFhS/cEU1ysxMXWglYNarD+yAXuJ2cQ2KwuhUXFrD18AWtzE4z0dTE00MPSxIgOjdyZvHgn/Vp5EZuSSd+WXgCE3Ihid/B1TAz1CfCpxYkrdzA1MqC2iy0BPiVffBPSsth84op6/GoOVnTz81S32zV0Z9HO09Rxtef2/SRqOtvweqA/A778lb4tvZi/7SQD2niTlVvwfA+UEEKIZ2bt8kUUFxXh6FKFZq3asm39auJio+nQrTdFhQVsXbcKKxtbDAwNMTQ0wtzSilbtOvHVlHfo3ncg8bExdHuwfNKFs2c4vGc7RiYmNG/TgZCgo5iYmlHd3YPmbdoDkJQQz+4tG9TjV3WrTrsuPdTtsZM+4ov3xgOgo6NLdmYGyYkJNGvV9jkeFVGRuTfrVKpdpZ7vY7drPWIKUFKwOj0+CtcGzWnS+9Fd9A/rQ1Sp/2jJMsdaXk8Vi7GFNYGT5z7VPuKRJZv2U1SsoIqDDW2a1GfN7uPEJKTQI6ApBYVFrNl9HBtLMwwN9DEy0MfSzISOzbyZNHM5Azq2ICYxRb2MUvCVW+w6fg5jIwPa+TbgeOg1TI0N8ajmQlvfkt9rQko6Gw+cUo/v5mxP99ZN1O0OzRqwYMNePKtX+VP7VmQsNas6Mm5gV/pMnCaJCCGEEEKIP5ClmYTQsIa1XFAolaRk5ZBXUIRCqaKKrQXHLkUA0KpBDcb1bI5CqeLd/m24fDf2wX7ODAzwITopXd3XxuOXcXO0xsnGnIiYZBrVcqG4WEFadt4Tx1PLxZYfXu9BXEom3jWdAVi88wwWpoZciogjr6CYA6G3OHj+VtkdBCGEEBpV36cxCqWCtNQU8nJzUSgUODlX5fTxQwD4tQrglTfeQqlQMOadD7h+5eKD/RrRo/9QYu9HqfvatWkdVd1q4ODowr2IW9Rv2ISi4iIy0lL/VWyRd8IZOmocH0z9niP7dv7n5yrEX7F0dP3PhalF2WvkWROlUklKehZ5+QUolUpcHGw4crbkxpo2Terx5uBuKBRK3nulN5du3QOgYZ0aDOrSkqj4ZHVfG/adxM3FHmc7a8Kj4mjsWZPiYgWpmdlPHI+7qzM/vvcqsUlpf2r7eFQHSmZNWJqZlNEREEIIIYSoHGRGhBAalpSRg76eLuExKXi6plFQVIyRvh4KpRIAPR0dtLW10NMtyRtqUbJ0QOjtGJbsOoODpam6r36tGnDiyh2szIzw9nDl1v0k9HR1CI959AXMwcqMsT1LF/J7KDUzl2V7Q1CpVFiaGqGlpUWxQkmxQsnLHZvQ0N2Fhu4uBF25Q0Lak39hE0IIUb6lJCWir29AZMRtYupEUlhYgKGhEcoHy9jo6umhpaWNrp4eAFoPlrG5fP4cvy1dgK29g7qv7n0HERx0FAsra3wa+HEn/CZ6evrcjXiUwLZzcOSVN976y3g2/baCW2FXObh7GzU9PFm54CcunTuDT5Nmz+LpixfI7lnv0m3ij2XS1+p3e9Lj/Xkk3g0j6d4NUqJv0+GNrzAytyq1XdytS4QH70dP35BGPV8lMeIqoduX0eujRWUSR2WXlJaBvp4e4dFxRMYlUVBYhKGBPgpFyWdlXV1dtLW10dPVAR79fQoNi2DRxn042Fiq+xrQqTnHQ8OwMjfBx6s6NyNj0dPT5XZUrHobBxtLxg/u9thYUjKyWLr5IEqVEiszkz+1tbS0UBQrKVYoeKWnzOASQgghhPgjSUQIoWGdm3iUavvWcX3sdlOGlCxnMWtcL6IS0mhetxqvdX90QeZhfQg/z0f7e9VweqpYrM2NeW9gQKnH3uzd8k/btfSq8VT9CiGEKN8COpW+6Naw6eMv+L/5/mdASaHqmKh7NPVvybBRj9bFf1gfoqGvv/oxTy+fp46n37AR9Bs2Qt3+/8LYQvyVQ4s+p9XLk4m8dAqVUomOri4pUbfJTk2k3ZjPAUiPjyLs8GaaD32H3bPepdP47zi8+AusnN1QKorxG1CyLFhRfi4Xdq5U921kYYNXx4HqtnXVWlg4VsXCsSru/p058stX5Gdn/CkRcX7Hcuyr10VRVIC2jg5V6vtx+cD653A0KocuLRqVavt51X7sdh+/VrI83JwPRhMZm0iLhp683r+z+ucP60M0a/Dos3eD2m5PFYuNhRnvj+xT6rH/b781LPCp+hRCCCGEeFHI0kxCVECuDlZlUphaCCGE+LdcXN3KpDC1EGXJq+MgruzfQPiZ/bg360RBTib6xqbE376k3kYLLVSoShoqFYl3w8jPzkDf2Iy8zPR/NW7o9uU41KyHlbMbiqJClIpi9c9y01Oo174/9jXqEX7mwH95euIJVXO2L5PC1EIIIYQQouzIjAghyomJ87cxa1zZfGHq8fFS5r3dl7DIBG5EJRIek8xXI7uwK/g6sckZxKdlM6F3C+4lpHExPAYDPV3G9fpzMb31Ry/yy64zHPjhDQCmrT2EhYkRWlrwcqcmTF64g7pujmTnFTChT0umLN7F8E5NaOpRtUyehxBCCM364r3xZTYb4ZXeHfl27i+cOX6E+Lj7JCXE8+q4ibhWr1lquyP7d7F83ixmLl6NnYMjKxb+hBZaZGWm8+b7n7Hh11/ISEuVJIh4LPsadTm9bg6O7g3Q0tYm8c51bKvVLpUYMLVxIDU6nLAjm8nLTMW+el3MbBwpLizArnod9XZ6hsb49h/7uGFKCf59HlGXT1PNuwUZ8dHcPLmLmr4dsKlaC4AmvUdxdvNCivJz1bMtxF97a/ovzPlg9D9v+AS6jpvKok/Hci0iiut37nM7Ko5vJrzEjbv3mbNmJ+++3Avf+u7sPXmeiOh4thw6w9Iv36Sasz0Aa/ccJz45naS0DL6Z8JJ62aeH1u05waKN+ziy9GsAZqzcSlGxAi0tmPJqvz+1H/pmye8lNSS0YPygbnyxYC31alVjQMfHL58qhBBCCFEZSCJCiOfksxV7eX9QW05eu4dSqUJPV5vb95NJSMvii1dKpo1HJaSx6cRlJvZvw8T525j2Wne+WLkPNwdripVKxj9IFuQWFLJy3zl139bmxgwK8FG3a7nY4mpvhau9FV2a1mHqqv1k5ORjqK9LSmYueQWF2FqY8tXqgzSrWw2VUoVKpfrTl6tBAT6cCYsEICM7j8JiBWN7NufdBdvR1dYmO6+QtKxcqtpbYmygT7O61Z7xURRCCFGWfvhyCuMmfcLZU8dRqZTo6upx5/ZNkhPjmfTZtwDERN1j95YNvPb2+3zx3ng++uZHZkz9iKrVqqNQFDNi7DsA5OXmsuHXX9R9W9nY0HPAMHW7eq3auFSthqGRIekpKeTn5mJjZ/+nmNp26s61i6HqduSdcD7/fi4/fvUxmRnptAjowO4tG57RERGVQa+PFqr/HTDqYwDqdyhZtudhfYgeH5Qk2Oq27QtA29c+e+px9PQNyYiPxm/A+FIJBs+A3pjZOKrb1RsHUL1xgLp9/2ow1s7Vn3q8yuKTub8xZVQ/gi6EPfhMrMOtyFgSUtKZOn4oAJGxiWw8eJpJL/firem/8MPEV/h03hrcnO1RKJRMGNodgNz8ApZvPaTu28bCjMFdW6nb7tWccXWyw9XJjq4tG/PFgrVkZOfQ3KcOd+7Hq7fr0qIR+QWFXL9zX52EAAi+cpvZ749i6ZaDXA2Pwsu99GfdwV1bceryTXX7vVd6k5dfyMQflj62DZCelUNRcTHjB3fj7eklfzPb+TYgITXjPx9bIYQQQojyTJZmEuI5GRTgw/qjF9l/7iadm9QmM6cAUyN9Lt95VBwPLR4uFIAKFWH3EkjPzsPM2IC0rNx/Ne6yPSHUd3PCzdGae/FpTB8TSL/WDTh6KZyEtCxGd/XFQF+Xy3fiyC0o/Nu+HhbK1tKC2JRMejSvyycvdeTC7Zh/FZsQQgjN6jVgGNt//41jB/fQpmM3sjIzMDE1I+zKxUcbaWmhUpW8O6lUKm5dv0pmehqmZuakp6U+9ZjR9+7y8Xez6N53ECePHqQgPx+lUvmP+/1/slyI/7d71rtl3ufxFdM4seoHgn+fx7EV36FUKLhyoCQR1nH8t1g4PpoF+nD8PyYhHkqPj+LUmtkAVKnvR7NBE8o81opicNdWrN1znL0nL9ClRUMysnMxNTbk4s276m20/u/vzrWIKNKzcjA3MSI1M/tfjfvL5gPUr1WN6i4Oj/35ur1BDOz85xnCf5SbX/C3P8/IzuWTn3/jkzEDHtt+5OFnavm7JoQQQogXh8yIEOI5qefmyJwtJ/Cu4Yy2tjZhkfHUrmJHUfGjiy+OVmZExCSz+cQV0jLzqOvmgKO1OfmFxXi6PvrSZGygz9ie/zx1e962k5y6do+W9asTlZiGubEBP248RkJqFhP6tGR4h8bM3XqShNQsBrTx5rPl+5jxRg/1/ocv3CYsMoHFu84wpnsz9PV0WLD9FLVd7DA3NuTYpQgS0rKp5WJbtgdLCCHEc1G7rhe//DyTug0aoq2tza3rV6lZuw7FRUXqbewcnLgXcZvdWzaQnppCbc/62Ds6UVCQj7tnPfV2RsbGvPLGW/84pqmZOYtnTy9ZmunNd5k/42tGvzUZM3MLAC6eC+bSuRC0dXQYOXYibjXcWblwDvqGhphbWJKVkV7mx0FUTNFXz3Dn3BFMLO3w6fYSAPnZmVzZv47MpBg8WnYnOyWB1PsRmNk64dqgOcEb52FTtTb1O/THwMQcgJtBu8iIj1L3W699f0ys7NTtht1fxtTagRvHt3Pn3GGir57Bq+NALu5eRW5GKoZmFjQKHEFC+BVCty8nLeYOAaM+KVUA29atDnG3LhJ95QxJkTcoyM4kNyOF5kMncmzZN9i5eVLNpwW21Tyo7OrXcmX26u34eFRHW1ubaxHR1HFzoahYod7G0daK8Kg4Nh44RWpGFvVquuJka0V+YRF1az5K/hgbGjB+cLd/HHPuml2cvHidVo3qEhWXRE5+AYdCLnMlPJJqTnY42FgSdCGMEb3aAbBy+2EGdGqBn5c7s1fvICktg1d7t+fdGcuZNflVdb+Hgi8RFh7Fwt/38saALvSY8DWdmjfkwOlLjOzd/k/t+ev3MG5QV/T1dJm3bje1qzmX4ZEVQgghhCjftFQPbzURQpSJ8+fP07hxY47+OA7vmpr5cvHRL7t5o6c/rvZWT7VffGoWjtZm/2rM3IJCft4SRN9WDf6UmLgUEUvAu/MJDQ2lUaNG/6p/IYQQ/97D96aNB4Op591QIzF898l7vPz6BFyqll7aJDE+DntHpyfuZ/vvv2FoZEynwD5/+tm1Sxfo38FP3m8qsYfn8qsLj3B531o6jvsabZ2Se6t2z3qXVi+/z/UjW9DS1iE/J4N67fpxK2gXWtraNO41inNbf0FRVIhP95cxsSz5vPJ3iYjjK6bRqOdIdSJCz9CYmyd30/XtGZzbugR9I1MiLwbR88MFbJ82jp5T5nN48RfUataZi7tXUc2nJWkxd/HpPpyww5tpPvQdNnwyDI+W3clNT8atURsS71wjNz2Zaj4tca5Tct7G3brEsjfaVppz+eHvLWjFd/jUeX7LUn0weyXjB3XD1cnunzd+AvHJaTjaPt3n6ycxd80uGtetSXOfkholF2/cpeWIDyvN718IIYQQAmRpJiGeu4nzt5V5n9PWHlL3O3H+Nr4d3e0vkxD9v1zJwh2nmLHhKDtOXwNKilIDpZIQaw6d5+zN6L8dMyEtS902NtDn/cHtZHaEEEJUMF+8V/bFc3/+firzZ37DigWzmTv9SxQKBfW8G/4pCQEwf8bXf9lPTNQ9lvz0fanHeg4Y9tgkhHjx1G3bmxOrfiB02zKKC/MByIiPorioEFChUijITklA19CY1Ji7ZCXFoatvSH5WOnmZj5YV82jZHd/+Y9X//XE2BMCFXb8S/Ps8Eu5co3rjtgAUFeSSHh+Ftq4eiuKSGUQpUbcI3b4cRXERznUalSqAbWxhTXLULe5dOIFHi24U5mahZ2SCma0TBTmZaGlpkRpz5/kcuHLurem//PNGT2j6O6/g6mTHN0t+V/f7T/33eec75q3fzffLt7DtSAhQUpQaKJWEWL3zKCFXb/9lP98s+Z2ElPQninPC0O7qJIQQQgghRGUlSzMJ8YyduR7JkQvh2FqYMLxjYwAycvJZf+QC95MzCGxWl4S0LMJjknGyMad5PTfmbzuFexVbBrTxxtzYEIBdZ8KISkxX99u/dQPsLE3VbRdbC05efbS27g/rj2BpakR0UjpfvtJZvQZtVTtL3uhRsqzTW3O30MO/HmfCImlez409ITcIj0lm3INln7YGXeH45QjcXexwtDZjd/B1TAz1CfCpxe2YZLYEXaGbnycLtp9SF9T2rePKnpDrONtYMLqb3zM9tkIIIZ7e+eBTnDx6AGtbe/oPGwlAVmYG29avJi42mg7depOUEEdkxG3snZxp4t+KlQt+orq7Bz36D8HUrGQ5m4O7txETFanuN7Df4FLFpwe8NAo7B0f279jMySMHOB98ip4DhrFx9XLSUpOxsLRi4MujuX71EutWLCbqbgTvfDS1VCHsWh51uXbpPKFnThJx6zpZmRmkpiQx5u0P+Onbz3H3rIdvi9bUrO35fA+iKBeq1m9G1frN1O2Hhair1PMttZ1rA3/1v5u4jH6qMVqPmPKnxx6O03HcNwB4dRwIwMj5B0tt9/8FsHtOmf/YMXz7vfFUMVU2py/d5FDIZeyszHmlR0miJyM7lzW7jxOTkEKPgKbEJ6cTHh2Hs50VLXw8mbt2F7WrOTOoS0vMTYwB2HHsLFFxSep+B3Rqgb21hbpdxd6GE+fD1O1pyzZhZW5KdFwyX7059NFnZSc7xg8qWe5p/DeL6NXWl1OXb9KioSe7TpzjdmQcbw4p+fnmg6c5du4q7q7OONlZsev4OYyNDGjn24DbUXFsPHiKHq2b8vO63epC234NarP7xDmc7WwY07/Tsz24QgghhBDliMyIEOIZ23LiCpMHBfBa92YY6usBkFdQhEKpooqtBccuRVDPzRFdHR1SMnOxtzSlip0F6dl5FBYp/qH3R17q0JgNRy9SrCjZJz4ti9e6N8NIX4+UzH8udJ1XUHI3n5WpEWeul1xY6tK0DpMGBHD0UgQbj1/GzdEaJxtzImKScXexpU9LL1IycksV1K7uaI2liRFZufnkFxb93ZBCCCE0YM/W3xk76WOGjRqLgWFJsjsvNxeFQoGTc1VOHz+ER10vdHR1SUtJxtbOAacqVclMT6Ow4O8Ltf6Vhxf4lEolebk52NjaExp8EoDqNWszeMQYtHW0uXz+bKlC2NVr1aaedyMaN2vBsQO7sbaxw8ralvuR9/Bq2ISc7Cxyc3LK5sAIITRi08HTTBnZl9f7d8bQQB+AvPwClEolLg42HDl7hfq1XNHV0SY5LQt7awuqOtiSnpVDQWHxE4/zco8A1u8Nori4ZJ/45PSSMQ31SU7P+oe9HxWqtrIw5czlmwB0bdWYySP6cOTsFTbsO4mbiz3OdtaER8Xh7upE/w7NSU7PLFVou7qLA5ZmpmTl5pFfUPi0h0sIIYQQosKSGRFCPGN9Wnnxw/qj2FuZMqx9yRqvUYlpFBQVY6Svh0KpJD41CyMDPa5HJRCXkomBni4JadmkZuVia2ECQPdmdf92HC0teC3Qnz6fLQdKCl8v2XWGvMIidR8A0UnpLNxxiuy8Qjo2qa1+/EZUIno62ihVKpTKktIxe8/eIPhGFK0b1MDJ2pwTV+5gZWaEt4cr+nq6rDpwjoEBPqUKaselZGJsqM+t+0nk5hepky9CCCHKh669B7Bg5jfY2jvSd8grAMRER1JYWIChoRFKhYKkhHgMjYy5feMaCXEx6BsYkpyYQHpaCta2JcvWdOjW62/H+X31UoyNTcjKzGDce59waM928nJziYmOpG4DH3VB7LvhN1m3YjHFRcU0aNSU4wf3qAthW1rbEnHrBsFBR2nftRfZWZkYm5ji4ORM6JkgtLW1ibxzG6+GTZ7tQRNCPDP9OvgzbflmHKwtGB4YAEBkXBIFhUUYGuijUCiJT0nDyMCAsDvRxCalYmCgR0JqOqkZWdhZlczS6tGm6d+Oo6WlxRsDOhP4VslMFkdbSxZt3Ed+fqG6D4DouCTmrd9NTm4BnZo/qqlz/c599HR1USqVKBRKAPacCCX48i3aNKmPs50Vx0PDsDI3wcerOvp6uqzYdpghXVuVKrQdl5SKsaEBN+/FkJNfoE6+CCGEEEJUdlKsWogyVh6KVZc3UqxaCCE0qzwUq34epFh15ffwXO710SJsXGv/8w4VVErULbZ9+3qlOZc1Vay6opJi1UIIIYSojGRGhBBCCCGEEKJCsLW1xcjYmG3fvq7pUJ45I2NjbG1tNR2GEEIIIYQQZUISEUIIIYQQQogKwdXVlRvXr5OcnKzpUJ45W1tbXF1dNR2GEEIIIYQQZUISEUI8IzejEzUdQrkhx0IIIcqHO7evazqEZ6qyPz9RwtXVVS7QV1A378VoOoQKQY6TEEIIISojqREhRBmLiorC07MOubl5mg6lXDE2NuL69Rty4UAIITSg5L3Jk9zcXE2H8swZGxtz/fp1eb8RohyRz8dPTz47CyGEEKKykUSEEM9AeHg4c+fOZcmSJRgYGPDmm2/Ss2dPdHR0NB3aM1dcXMz69etZtGgROjo6jBs3jr59++Lg4CBfpIQQQoOioqKeeDmbzMxMRo4cSXFxMStXrsTS0vLZBvd/Nm/ezDfffMOkSZMYOnToU+0ry9kIUT49zd+gJ5GXl8eYMWNITEzk119/xcHBocz6fhKHDx9m8uTJjBo1inHjxpV5//K3TAghhBCVjSQihChje/bs4Z133iEiIoLx48fzxRdfYGVlpemwnruEhAQ++ugjli1bhre3N3PmzKF169aaDksIIcQ/KCoqokuXLly4cIEzZ85Qu3ZtjcTx/vvvM2PGDLZt20aPHj00EoMQonxSKpUMHDiQPXv2cOLECRo1aqSROL7//ns++OADVq5cycsvv6yRGIQQQgghKgptTQcgRGURHh5Ojx496NatGy4uLly8eJGffvrphUxCADg4OLB06VKCg4MxMDCgTZs2DB06lPv372s6NCGEEH9BpVIxduxYTpw4wZYtWzSWhACYNm0avXr1YsiQIVy8eFFjcQghyp+PP/6YzZs3s2bNGo0lIQD1jIjRo0dz/PhxjcUhhBBCCFERSCJCiP8oOzubjz76iHr16nH58mV+//13Dh06RP369TUdWrng6+vL6dOnWb58OYcOHcLDw4Nvv/2W/Px8TYcmhBDi/8yYMYOlS5eyePFi2rRpo9FYtLW1Wb16NXXq1CEwMJDY2FiNxiOEKB+WLVvGtGnTmDFjBr169dJoLFpaWsyfP59WrVrRp08fbt++rdF4hBBCCCHKM1maSYh/SaVSsW7dOiZPnkxKSgoffPAB77//PsbGxpoOrdzKyMhg6tSpzJkzh2rVqjFr1iwCAwPR0tLSdGhCCPHC27x5M/379+fDDz/km2++0XQ4arGxsfj5+WFvb8/x48cxMTHRdEhCCA05cuQInTp1YtSoUSxYsKDcfIZMS0vD398fpVLJmTNnsLa21nRIQgghhBDljiQihPgXLl68yIQJEwgKCqJv377MnDkTNzc3TYdVYVy/fp23336bAwcO0KVLF2bPno2Hh4emwxJCiBfWuXPnaN26NYGBgaxbtw5t7fI1afbSpUu0bNmS9u3bs2nTJnR0dDQdkhDiObt58ybNmjWjadOm7Nq1Cz09PU2HVEpERAR+fn7Ur1+f/fv3o6+vr+mQhBBCCCHKlfL1LVOIci4lJYWxY8fSuHFjUlJSOHDgAJs2bZIkxFPy9PRk3759bNmyhRs3blC/fn0mT55MZmampkMTQogXTnR0ND169KBBgwasXLmy3CUhALy9vVm3bh07duxgypQpmg5HCPGcJScn0717d5ydndmwYUO5S0IA1KxZk61bt3L69GnGjBmD3O8nhBBCCFFa+fumKUQ5VFxczPz583F3d2fNmjXMnDmTS5cu0aFDB02HVmFpaWnRu3dvwsLC+Pzzz5k3bx4eHh78+uuvKJVKTYcnhBAvhKysLAIDAzEwMGDbtm0YGRlpOqS/1L17d2bNmsWMGTNYvHixpsMRQjwnBQUF9OnTh8zMTHbu3ImlpaWmQ/pLLVu2ZNmyZaxcuZLvvvtO0+EIIYQQQpQrkogQ4h8cO3aMxo0bM378eHURunfeeadc3olVERkZGfHJJ59w48YNWrduzSuvvELLli05d+6cpkMTQohKrbi4mMGDB3P37l127tyJg4ODpkP6RxMmTGD8+PGMGzeOgwcPajocIcQzplKpGD16NGfPnmXbtm1Ur15d0yH9o2HDhvH555/z8ccf8/vvv2s6HCGEEEKIckMSEUL8hejoaIYMGUJAQABGRkaEhISwdOlS7O3tNR1apeTq6sr69es5cuQI2dnZ+Pr68tprr5GYmKjp0IQQolKaNGkS+/bt4/fff6d+/fqaDueJaGlpMXv2bDp27Ei/fv0ICwvTdEhCiGfo66+/ZvXq1axcuRJ/f39Nh/PEPv/8c4YMGcLLL79McHCwpsMRQgghhCgXpFi1EP8nPz+fmTNn8u2332JmZsb06dMZPnx4uVwzu7IqLi5m4cKFfPrpp6hUKqZOncrYsWNlFooQQpSRn3/+mQkTJjB//nzGjh2r6XCeWmZmJi1atCAnJ4czZ87ITQJCVEJr165l6NChTJ06lU8//VTT4Ty1/Px82rdvT3h4OMHBwVJTTgghhBAvPElECPGASqVix44dTJw4kaioKN5++20+/fRTLCwsNB3aCys5OZlPPvmExYsXU7duXebMmUO7du00HZYQQlRou3fvpkePHrz11lvMmjVL0+H8a5GRkfj5+VGjRg0OHz6MoaGhpkMSQpSRU6dO0a5dOwYOHMjKlSvR0tLSdEj/SlJSEn5+fhgbG3Py5En5XiGEEEKIF5rc4i0EcOPGDbp27UqvXr2oVasWV65cYcaMGfJlQcNsbW1ZuHAh586dw8LCgvbt29O/f38iIyM1HZoQQlRIly9fZtCgQXTv3p0ZM2ZoOpz/pFq1amzfvp0LFy4wcuRI5N4aISqHO3fu0Lt3b3x9fVmyZEmFTUIA2NnZsWvXLu7fv8+gQYMoLi7WdEhCCCGEEBojiQjxQsvMzGTy5Ml4eXlx69Yttm7dyt69e6lTp46mQxN/0KhRI4KCgli9ejWnTp2iTp06fPnll+Tl5Wk6NCGEqDDi4+MJDAykVq1arFmzBh0dHU2H9J/5+vqyatUq1q1bxxdffKHpcIQQ/1F6ejqBgYFYWFiwZcsWDAwMNB3Sf+bp6cmmTZs4dOgQb731liRNhRBCCPHCkkSEeCEplUpWrlxJ7dq1mTdvHp9//jlhYWH06tWrQt91VZlpaWkxbNgwbt68ydtvv80333yDp6cnmzdvli90QgjxD3Jzc+nZsycKhYIdO3Zgamqq6ZDKTP/+/fnuu++YOnUqq1ev1nQ4Qoh/qaioiAEDBhAfH8/OnTuxsbHRdEhlpn379ixYsIAFCxYwZ84cTYcjhBBCCKERkogQL5xz587RokULRowYQUBAADdv3uSTTz6RtaUrCDMzM6ZNm8a1a9eoV68e/fr1o2PHjly7dk3ToQkhRLmkVCp5+eWXuXbtGjt27KBKlSqaDqnMffDBB7z66quMGjWKEydOaDocIcRTUqlUjB8/nqNHj7J582Y8PDw0HVKZGz16NO+//z4TJ05kx44dmg5HCCGEEOK5k0SEeGEkJiYyevRofH19ycnJ4ejRo6xbt46qVatqOjTxL7i7u7Nr1y527txJZGQk3t7eTJw4kfT0dE2HJoQQ5crHH3/M5s2bWbNmDY0aNdJ0OM+ElpYWCxYsoEWLFvTp04fw8HBNhySEeAo//vgjS5YsYfHixQQEBGg6nGfmu+++o0+fPgwZMoSLFy9qOhwhhBBCiOdKSyVrmohKrqioiPnz5/P555+jra3NV199xeuvv46urq6mQxNlpKCggNmzZ/PVV19hbGzMd999x8iRI9HWllyrEOLFtmzZMkaNGsXMmTN59913NR3OM5eWloa/vz8qlYozZ85gZWWl6ZCEEP9g69at9O3blylTpvDtt99qOpxnLjc3lzZt2hAXF0dISAjOzs6aDkkIIYQQ4rmQRISo1A4dOsTbb79NWFgYY8aM4euvv8bW1lbTYYlnJCYmhg8++IDffvuNJk2aMHfuXJo1a6bpsIQQQiOOHDlCp06dGDVqFAsWLHhhaiCFh4fTrFkzGjRowN69e9HX19d0SEKIvxAaGkrr1q3p1q0b69evf2FuIomLi8PX1xd7e3uOHz+OiYmJpkMSQgghhHjmXoxPeuKFExkZSf/+/enQoQOWlpaEhoaycOFCSUJUci4uLqxevZoTJ05QXFyMv78/I0aMID4+XtOhCSHEc3Xz5k369u1L27ZtmTt37guThACoVasWW7Zs4eTJk7zxxhvIPTdClE/R0dH06NGD+vXr8+uvv74wSQgAJycndu7cya1btxg6dCgKhULTIQkhhBBCPHMvzqc98ULIy8vjyy+/pE6dOpw6dUp9Ubphw4aaDk08Ry1btuTcuXMsXLiQnTt3Urt2bWbOnElhYaGmQxNCiGcuOTmZ7t274+zszIYNG9DT09N0SM9dq1atWLp0KcuXL2f69OmaDkcI8X+ysrLo0aMHenp6bNu2DSMjI02H9Nx5e3uzbt06du7cyQcffKDpcIQQQgghnjlJRIhKQaVSsXnzZjw9Pfn222955513uHnzJsOGDXuh7gIVj+jo6PD6669z69YtXnnlFd5//328vb3Zv3+/pkMTQohnpqCggD59+pCZmcnOnTuxtLTUdEga89JLL/HZZ5/x4YcfsnHjRk2HI4R4QKFQMGTIEO7cucPOnTtxdHTUdEga0717d2bPns3MmTNZtGiRpsMRQgghhHimJBEhKrxr167RsWNH+vXrh5eXF1evXuW7777DzMxM06GJcsDa2pq5c+dy4cIFHBwc6Ny5M7179+bOnTuaDk0IIcqUSqVi9OjRnD17lm3btlG9enVNh6RxX3zxBUOGDGH48OGEhIRoOhwhBDBp0iT27NnDhg0b8PLy0nQ4GjdhwgTefPNNxo8fz4EDBzQdjhBCCCHEMyOJCFFhpaenM3HiRLy9vYmKimLXrl3s2LEDd3d3TYcmyqEGDRpw5MgR1q9fT2hoKHXr1uXTTz8lJydH06EJIUSZ+Prrr1m9ejUrV67E399f0+GUC1paWixbtoyGDRvSs2dPIiMjNR2SEC+0efPm8dNPPzF37ly6dOmi6XDKjVmzZtGpUyf69+9PWFiYpsMRQgghhHgmtFRSwU9UMEqlkuXLl/Phhx+Sl5fHp59+yttvv42BgYGmQxMVRE5ODtOmTeOHH37A3t6eGTNmMGDAAFnGSwhRYa1du5ahQ4fy1Vdf8cknn2g6nHInKSkJPz8/TExMOHnyJObm5poOSYgXzt69e+nevTsTJkxg9uzZmg6n3MnMzKRly5ZkZWURHByMvb29pkMSQgghhChTkogQFcqZM2eYMGEC586d46WXXmL69Ok4OztrOixRQd25c4dJkyaxdetW2rRpw5w5c2jQoIGmwxJCiKdy6tQp2rVrx8CBA1m5cqUkVf9CWFgYzZs3x9/fnx07dqCrq6vpkIR4YVy5coUWLVrQunVrtm3bho6OjqZDKpeioqLw9fWlevXqHD58+IUs4i2EEEKIykuWZhIVQnx8PCNGjMDf3x+FQkFQUBCrVq2SJIT4T2rUqMGWLVvYt28f8fHxNGzYkAkTJpCamqrp0IQQ4oncuXOH3r174+vry5IlSyQJ8Tfq1q3Lxo0bOXDgAG+//TZyL44Qz0d8fDyBgYHUqFGDtWvXShLib7i6urJjxw4uXbrEyJEjUSqVmg5JCCGEEKLMSCJClGuFhYXMnDmT2rVrs3PnThYtWsTZs2dp0aKFpkMTlUinTp24fPkyP/zwAytXrqR27dosWrQIhUKh6dCEEOIvpaenExgYiIWFBVu2bJElCp9Ahw4dWLBgAfPnz2fu3LmaDkeISi83N5devXpRVFTEjh07MDMz03RI5V7Tpk1ZtWoV69ev54svvtB0OEIIIYQQZUaWZhLl1r59+3j77be5ffs248eP58svv8TKykrTYYlKLj4+ng8//JAVK1bQsGFD5s6dK4kvIUS5cvDgQXbt2sXVq1cJDQ3l9OnTeHh4aDqsCmXy5Mn8+OOPbNu2jcDAQE2HI0SlpFQqGTRoELt37+b48eM0btxY0yFVKNOnT2fKlCnMmjWLEydO8Ouvv2JiYqLpsIQQQggh/jVJRIhyIzQ0FG9vb6Kionj33XfZtm0bAQEBzJkzBy8vL02HJ14wwcHBTJgwgbNnzzJs2DCmT5+Ora0t169fx8fHR9PhCSFeYAMGDODEiRMkJyezfft2unXrpumQKhyFQkH//v05cOAAJ0+exNvbW9MhCVHpfPTRR0ybNo3NmzfTu3dvTYdT4ahUKoYOHcrGjRspLi5mz549dOnSRdNhCSGEEEL8a7I0kygXdu7cSZMmTRgzZgx169bl/PnzbNiwgcOHD0sSQmiEn58fZ86cYenSpezfvx8PDw/Gjh1Lo0aNOHXqlKbDE0K8oFQqFXv37iUhIQFdXV2WL1+u6ZAqJB0dHVavXo2HhweBgYHExsZqOiQhKpXly5fz3Xff8f3330sS4l9KS0tjw4YN6OvrA7B161bNBiSEEEII8R/JjAihcenp6dSsWZPs7GxUKhXvv/8+H374oUw9FuVGeno6n332GfPmzUNHRwcHBwdu376NoaGhpkMTQrxgoqKiqFatGsbGxrz77ruMHz8eR0dHTYdVYcXGxuLr64ujoyPu7u7069eP/v37azosISqsQYMG4eXlxZdffsnIkSNZtGgRWlpamg6rwjp+/Dg//PADO3fuxMXFhfv372s6JCGEEEKIf01X0wEI8eqrr5Kamqpum5qaShJClCuWlpbo6+ujVCpRKpXcv3+fd999l/nz52s6NCHEC8bV1ZUdO3bQvn17jIyMNB1Ohefs7MzSpUvp06cPkZGRZGVlSSJCiH8pISGBDRs2sGvXLho1asTMmTMlCfEftW7dmtatWxMWFkZxcbGmwxFCCCGE+E9kRoTQuEuXLrFlyxYaN26MlZUVvr6+6inIQpQXubm5hIaGkpqaSmhoKC+//DK1atXSdFhCCCH+oyFDhrBhwwaUSiUGBgbk5OSgo6Oj6bCEqHCWLl3K6NGj0dHRQaFQcODAATp06KDpsIQQQgghRDkhiQgNioqKIjk5WdNhlBu2tra4urpqOgwh/pa8bv9MXrtC0+R1+Wy8KK/t7OxsVq9ezZdffkl8fDx3797Fzc1N02EJUeH06dOHrVu30rVrV6ZMmUKrVq1kRsQD8j71Zy/Ke4wQQgghHpFEhIZERUXhWceD3Lx8TYdSbhgbGXL9xk35QCrKraioKDw965Cbm6fpUMoVY2Mjrl+/Ia9doRFRUVHU8fQkLzdX06FUOkbGxty4fv2FeW2rVCru3r1LjRo1NB2KEBVSfn4+ycnJVKlSRdOhlCslnx89yZX3qVKMjY25/gK9xwghhBBCakRoTHJyMrl5+fw81Ad3BzNNh6NxtxOyeHPNRZKTk+XDqCi3kpOTyc3NY9GkQXhUsdd0OOXCzfuJvD5zvbx2hcYkJyeTl5vLoM8WYV/NQ9PhVBqJkTdZP/X1F+q1raWlJUkIIf4DQ0NDSUI8Rsnnx1yWfvU2HtXl+ADcvHufUZ/+9EK9xwghhBBCEhEa5+5gRoMqFpoOQwjxFDyq2ONdy0XTYQgh/sC+mgcuHt6aDkNogCx58mey5EnFJOdyaZXtPPaoXgWfOjU1HYYQQgghhMZIIqICWB8SzbW4TCwM9TDU06anjzO9fz7F8Q8CSMkupPOsE1z/ujPvb7zM9/0bPLaPYoUSXR3tvx3nzJ0Uzt1L425yDm+2q8Xd5BxO3k5GoYJuXo74VrcGYMPZaJKyCojLzOfj7p5sPR9DXEY+CZkFjA2owYKjd6hpb4KThSE9vJ3L/HgIUVGs3BfC3bgUvhjR9V/3UaxQoPsPRVN/2XWa9Ow8UjNz+Pa1Hn9qPzR/6wm0tLTIyMljytCOLN8TTH5hEZuOX+LgzPH8+PsRiosVaGlpMXlw+38dsxCadG73GuLCr2JkaoGegSFe7fpw+eAmAoZPfOL97V3dObtrNfZuHsTdvkLvSTPQNzJ5xpGXpiguRkf37z+mxd6+wp0LQcTcvIh707ZU92nO2Z2rMTQxx6djP8xtnQC4FXyIqLBQ8jLT6Pz6p5zZsgxtHR0yEmPpNn4qW2dOws7VHXNbJxq06/0cnl3ZkaUuH0+Wu6x45Fz+sxf1PF694zBXbt3DwswEIwN9+nZsQafXPib09zkkp2XSavhkog//ylvfLmTOR288to/iYgW6un//+fFaeCRzVm+ng39DBnRuyW87j5CYkk5sUipT33wJI0MDAC7eiGBvUChGBvqM7t+Fj2avpHY1Z5zsbejboTmLf99DemYOKemZTJ/0apkfDyGEEEJUHpKIqEDScgvxcbUEoGM9BzadjyEtp5AOdR+/RExuQTFHbyVxNykHHW0txrSuwamIFMLiMtXbdKzrQHXbkosrzWrY0KyGDStO3iM+Ix8DXW3ScotQqlQ4Wxqp9wkKT+Gnwd6sOBnJsZtJGOrpkJpTSF6RAltTAxzMDVCqIK9I+ewOhhDlnEqlIik9i7pujtyJTcbEyIAZ6w9Tt5ojJ65EMOONXkxfe4jqTtaYGRsyrEMT9b5RCakcPH+LrNwC6lZzpGMTDxbvPIVCUfKa0tPVYXR3f/X2o7v7o1QqGTNz/WPbD0XEpjBzXG++XLmXjOw8Rnb142L4fR7WkXx3QFvyCop4b8HWZ3twhHgOcjNTqerZSN2OOH+CuxdPUZSfS+NuQ4kLv0p6YgyZyfG0HT6RSwc3AxB5NRh7V3e0tbVpNWgcR1fPJjUukn2LvqJR1yHkZqSSn5NJTnoyAS+9y/4lX+NYw5MaDVty7cQuDIxNsXOtTUZSLPau7lg5uXJm63JqNGzJhf0b8AroSVz4VXT09MlOSaDTmE/Q0dUDoDAvh1shR0i5H4GWtg4tB43jzoUg4iOuqZ9Hneadsa1SsnyQs7sXzu5ebJz2Fg3a9eHAL99iauOAUlGMjp6Bep+wE7vp/d5MbgUf4vbZo8SFX2XQpwvZPe9T4sKvYmbjiEqppKig4l0AfbjU5dx+tXC3NfrnHV4At5PzmLApXJY8qWDkXC5NzmNIzciiST13ALq2asL6PcdJzciiS8vGj90+Jy+fQ2cuEhEVh46ONm8O7cHx0Gtcu31PvU2XVk2oWbUkSV2vVjWGBbYlISUdgGNnr7Doiwks/n0vh85cIjDAF4BfNu2nXk1XCouK0NHWxtHWCqVSRX5+AQBjBnRFqVQy6tOfntGREEIIIURlIYmICqKXjzONq1nxwcYr+FW3xsXSiOiUXIwNdDHSf/zdLtP23kSlgiG+VanrbP5E4+y8HIdSpcK/pg0Lj0bwbd/6RKfmsfNyHG+0KbnwMaqlG4uP3yUiKRtXG2NupGbxdZ/6HL6RyLFbSbzbqTYAn2y5SmADJ4z/Ij4hKrN9Z2+QlpWHnm4m6w6fx7OaI71a1KelV03O3ojkxJU76OlqY25sSEJatnq/qIRUpizZQftGHrzUoQk2Fv98F3ZhUTFfrdrPO/0DHtv+fw8TDwCr9p/j8xFdAMjIyeeb1fv4cFjHf/28hSgPvNv1wbV+U7bMeJdqDUqSdleP7aDH29NIj4/mytFtpMVG0vu9mUScP8GdCydJirxF7/dmqmchKJVKTqyfDyoV+oYmuNZrgldAT1ZOGUq91oGgUpEWF0kVz0bkpCVRkJdDlTqNiL8TRl5mGlpaWqhQoVKp1HHVatQKj2YdOL52Lg07DyI/O5Ps1EQs7EuWetu35BtQqWjSfRhOteo/0XNNjo7A0qEKuvoGFBcXUd27OQbGppzfs5ZWg8c/dp9GXQZxatNi0uKi0dXTp8PI9wHYPvsDvNr2RN/Q+F8fe01xtzXCy9lU02EI8Z/JuSwA+nVqga+XB29/twh/H0+qOtoRGZuIiZGheqbC/5s6fw0qVLzcsz313d2eesyxg7szb81ObkXGUN3FQf14cloGA7u05uKNCPadPM+Hrw0E4L0ffqF3h+bo6mjz5fw1TBrR5189VyGEEEK8OCQRUUFsuxhLyJ1Uatk/uig5unV1DHS1+Xb3jcfuM7VXPYoUSk6Gp3DkcDhvBNSkpbstLd1tH7v9zkuxLDt5jy71Hbkel4mLlRE/HQynoFhB74Yu7L+WgKeTGcXKkgsrjhaGBHjYcS85hzmHwknMzGdsQE1WnY4kKbsAHW0tSUKIF9a+szeYNb7kC9mXK/fS2KMqczcfJyI2hcJiBS3r1+DC7fvkFxVT181RvZ+rgzVrPnmFpPRs9p29jqWZMd386jImsPlfjjVy+hqqO1lz4nIEnq4Of2r/sus0r/dsQS0XWxZsC8JQTxcLUyPiUzMxMdLH3NgQgD6f/ELHJh4cOn+LVzr7PtsDJMQzdOnwFu5dPoOda231Y/Xb9ODwih9KzYg4tmaOekZEdloiF/ZvIPJqCM7uDdQzIgBS46LQ0ipZ3rBeq+4U5GShb2SCuZ0Tdy+dRktLm5ToCLS0tdHV1SMpOpx6rbsTsv1XbKs+Kn6spV3SR53mnSnKy8HU0gYTy0fvyT3e+hZFcRER509w67efaDX4TWo1bk2txq3/8rkGb1tB66ETAGjSbSgX9q1HW0cX7w79CAvag2PNetRt1Y1DK34gNzONzmM+4d6l0xQXFlK1XhPs3TwI3raC7LQktHV0K2QS4lmYeSSa4U0csDfTf6bjbLyURGJWIck5RXzaqRpaDzLFi0/FoqWlRWZ+MZPaVn2mMYjKS87jimvT/pOcvnid2m6PapKNG9IdA319Pv959WP3mT7pVYqKizl+7ioHTm3hrZd6EtDUi4CmXo/dPiYhma2HTpOdm4dPnRoUFRejVClxtremfTNvdh8/S71a1Xh9QFfmr9tJbl4+b73Ui2Wb95OYmo6ujg7GhgYMnjSN6lUcOHb2Cp41qqLzD0uKCiGEEOLFpaX646164rk5f/48jRs3Zt/EVlKsGrh8P4POs04QGhpKo0aN/nkHITTg4ev26KwJ/6pY9eoDZ8nIycfWwpRBbRs+gwifv0vhMQRMnCuvXaExD1+XE5YelWLVZSjm5iXmjgoo96/th7//va97PdVd5Oeis9h/IxUjPR1a17TgaHg6Vka6RKTk8XJTR346dp9GVczoWd+G0etvMsK3JGGckFlIfFYRE1q5MO1QFE1dzYhMzae/jx2/nI7j28AaTDsYxevNnbAyLlly6/eLSaTnFavHHt7EAUO9kqTUhzvv8F1gDVadTaBRVVPqOZqUevy7A5GMa+mChdGT3zt0JTabLouulPvfnSjt35zLch5XDA9/t0Grf5Bi1Q9cvBFBy5cmV4rfrxBCCCGenMyIEEKI5+Sljk01HYIQQghg6+Vk6jgYo6utxZ2UktoY3evZEJ1ewOXYHGraGtGzvg32ZvrUsTembwM79UXVk3czOB2ZiVKlYoC3HREpeRy9nY6fmzl7rqegrYX64u1/9se19IT4P3IeCyGEEEKIikQSERXYjH03edm/Gvbmhs90nN/P3ScxM5/k7EI+6+Gpnm4NsOT4HW4nZvN9/wasOHmP9LwiUnMKmdqrHtsvxhKdmou1iT5D/F7MInNCPM60NQcY2bUZDlZmz3ScdYfPk5CWRXJ6NlNf7aZ+7X66bDeO1mbciEpg7lv9Wb4nmJz8AqraW9GrhReLd5wkJ78IEyP9v10SSogXyYGl02jWeyRmNg7/vPF/cH7vOrJSEshOS6bb+Knq1+3ueZ9iZuNIwt0b9P9wLsFbl1OQl4OVY1W82vbi5MbFFOXloG9sQvN+Y55pjJVBLy9bTt3NwNJIl8ZVzYhKy0cL0AKUKhW17IxYcz6RwQ3t1b+DZtXMWRAUo76T/Fh4Or+eTeBOSh4v+zpSw9qQ7kuusGyIR6mxBvjY/WUcjauasSAohuScIl5qYs/SM3GMauZEDRsjlpyOw1BX66nuIhcvFjmPXyzfLFrH6H6dcbC1eqbjrN11lPjkNJLSMvjm7VfU586X89dgZ21BemY2H40ZxKufzKJx3Vp4VK9CB/+GzFi+iaJiBVpaMGX0wGcaoxBCCCEqJvlEWI6du5fGvqvxGBno0Ka2HUduJGJlrE9EUjavNHcjIjGHbRdj6eXjzKgVoYxoUQ2AhMwC4jPzeatdLb7bfYOm1a2JTMllQBMXlhy/y3f9vPhu9w3eCKiBlXHJmrEbzt0nPbdQPfbL/tUw1CtZ3zM0Mo1p/bz49XQkYXFZ1HtQ+HpdSDRt69hzO7Gk0O6IFm4olSreXHMBgLUh0XSu92wv2AhRHoXciGT3mTBMDPUJ8HHn0PmbWJsZczsmmVe7NuN2TDJbTlyiTytvhn+7itHdS4rpxqdmEp+SycQBbfnq17341XXjXnwqg9s1YsG2IGaM7c1Xv+7jzT6tsDIrWcd93eFQ0rLy1GOP7OqHoX7JHYxnb0Qxc1xvlu8J5uq9OLyqOwOgUinJzivAzMiArNwCdpy6Snf/ejxMMbZrVJtFO05Rx1Vev+LFEXk1hLATu9E3MsG9SQA3gw9hbGFNctRtmvV+leSo21w6tAXv9n1Y9fFw/PuOBiAzOV5dZ2Lvoq9w8/IjNfYejboMJmjDAnpPmsG+RV/RasibGJuXXDwK3bOOvKw09dh+vUaiZ1ByU0HU1bP0fm8mwVuXExd+FWf3krW9lUoVBbnZGJiYUZCbxdVjO6jXurv6TuPavu04tXERDtXrPM/DVmE1dTWjqeujZHB9p5KlZOzN9GlctXSSeHqPkjofvbxK19jS0dZihN+jGj/7b6TSva4NTuaPLyT7OP29S1/cHdXMCYDX/J2euA/x4pLzuHIJvnyTXcdCMDYyoJ2fNwdOXcDawozbkbGM7t+Z25GxbDxwkv4dWzD0/e8ZM6ALAHFJacQlpTJpZF++nPcbzbzrcDcmgaHdA5i3diezPhjDF/N+462XemJtUXJerNl5hLTMbPXYo/p1xtCg5Hth8JWbzJ7yOks37ePq7Xt41a4OwP34JD4fN5ThU2aQkZ2Do60VhUXFFBaVLNn13sh+5OUXMHH64ud52IQQQghRgWhrOgDx17acj8HVxhgnc0MiknIACPR2om+jKly6n0FNexN6+Thjb26Ih5MZ/RpX4ey9NMa1rUnneg6cvpOCUgUDm1ShTyNnjtxIolkNG3ZfiUNbS0udhPg38osUXIpO5/CNRG7EZRGbnkdhsZKvd13nzXa1AMgtVDCihRt3U3JJ+0OSQ4jKbuOxi7g5WuNkY05EbBIAPVt4MSDAh0sR93F3saVPK28crMyoW82RgQENCQ6L5K2+bejqV5eTV++gVKkY0q4R/dv4cCj0Js3rV2fn6atoa2upkxD/lqWpER8M6YCBvh5FxcUY6OsyqlszDl+4DUAtFzt+eKMXcSkZ//lYCFFRXDywEWtnN8xtnUiKjgDAK6AnPp0GcP/mJWxd3fFu3wczGwccq9elYaeBRF4Ops3Qt6jbsit3LpxEpVTSqOsQfDr252bwIar7NOfqsZ1oaWurkxD/lpGZJR1e/QA9fQOKi4rQ1TegWZ9R3A45DICday16vfsDGUlx//lYiCfz8MLuQ53qWPNmq6evHySEJsl5XH5s2HscNxcHnO1sCI+MBaBPB38GdW3NxesRuFdzpn/HFjjYWuFZ05VBXdtw+tIN3nm5N93aNCXofBhKpYphgW0Z2KU1B05doEXDumw/cgZtbS11EuLf6tq6KYt/30NGVg462tp8+84IJr7Sh51HQwDIyM7hkzm/8snrQ/7zsRBCCCFE5SQzIsqx3g2dORmRgpWxHo2rWBCVklMy3VoLVEoV7vZm/BYczRDfqmg/uJW5WQ1r5h+JUM+IOHojiZWnIolIzmZEczdq2JrQ9acgVrzapNRYA5tU+cs4GlezYv6RCJKzCxjezJVfTtxldKvqfNev5C7N8MRsnC2NGLHsLG62JgSFJ+PhaEZXL0eWHL9DsUKJpVEZrTErRAXQr7UPJy5HYGVmjHdNF+7Fp6KlpYUWWiiVKmpXtWfV/hCGdWiqnu7evH515mw+pp4Rcfj8LZbuCSYiJolR3fyp6WxD+0nz+O2Tl0uNNbhd47+Mo2kdV+ZsPkZSeg4juviyaPtJXu/ZgqT0HBZuDyKvoBBLUyO8qjuxaPtJnGzMSc3MYdmeYFQqFZamRs/0OAlRnvh06EfE+RMYm1vh4uFNauw99etWpVJi71abkB2raBo4DK0Hb7rVfZpzbM0c9YyIWyGHCd6ylKToCPz7jsKmSk3mvdael6f9Vmqsxl0H/2UcrvWbcmzNHHLSkvDtNYKTvy+ixYDXyUlPImjDQgrz8zAys8TJ3YuTvy/C3NaJnIxUgrcuQ6VSYWRm+SwPk3iM6LR8tl1NKZOLt3mFCiZvv0NHD6s/3bkuxLNSlufw7GP3uZmYy4IBtckpULDwVCyJ2UV/SniIPxvQuRXHz13FysIUnzoe3I1JQAsttLRKltryqF6FFVsP8nKv9mg/+PzYomE9Zv+6VT0j4tDpCyzZuI/wqFhe69+FWq5OtHnlA9bPnFJqrKGBbf8yDj8vD2b/upWktAxe7duJ+et2MW5wd1QqFfkFhfTr2AJTYyN+WrWV7Nx8qjnbA9Bj3Bd0atGYA6cvMLJPx2d3oIQQQghRYUkiohxrWt2aptWt1e36LhYA2Jsb0rha6Tsrv+/fAIDeDUt/gdDR0WJkSzd1e9/VeAIbOOFk8eQXGAf8X5JidKvqjx17xaulC/G+0Ua+cIgXk59nNfw8q6nbXjVKlkRysDKjaZ3S9VJmje8DQL/W3qUe19HR4bUHSzYB7A4Oo2dzL5xtLJ44jsHtGpVqv96zBQDTX+9Z6vGPXupUqv3eoHZPPIYQlUU1Lz+qefmp2w+XRDKzccC1fun3tz6TZwHg3aFfqcd1dHTw7/eauh0WtBuvgJ5Y2Dk/cRyNupROUrQY8DoAPd+ZXurxTqM/KtVu98p7TzyGeGRlSDzFShXOFvq0qG7BxotJxGYW0sXTmsJiJb9fTMLaWBdDPW0MdXWwMNKhbS1LPt59l95etsRlFNKzvg0A56Kz2H8jFSM9HVrXtODU3UxMDbSpaWtE65qWACRmFbLtaop6/GpWBnSqU/JZT6lUseh0HH0a2JJdoHjux0JUTOXpHAZ4p00VPthxBwATAx0mta2qbou/18y7Ds28Hy2v18Cj5DuXg60Vvl6la3bM+egNAAZ0blnqcR0dHV4f2FXd3nUshN7t/XG2t3niOIZ0DyjVHje4OwD9OrYo9fjbw3uXah//9YcnHkMIIYQQLyZZmqmSe5gkeKhzfUcmtK+loWiEEE/qYYLioW5+dZk4IEAzwQghnsjDBMVDdVt2I2D4RA1FI56Et4spCqWK1Jxi8oqUKFTgbK7PiYiSpela1LDgNX9nFEqY0NqFq3ElS2V6O5vSt4Ed9zMK1H1tvZyMq5UhTub63EnJx9vFhCKFivS84ieK5UpcDvlFSg7fTuPw7fQyf66icipP57DQvIcJioe6t/Fl0oi+GopGCCGEEKI0mRHxAopOzWXrhdj/nJDIKShmyYm7FBYrcTA34JXmbiw9cZfcQgUmBjq82rL6P3cihPhbUQmpbDp+uUySEIt3nCQnvwgTI31GdvHjl12nUSiVHL0YzsYvX2XG+kOERSaw7P2h/z1wIQQAqXFRXD64qUwSEodWzCDhbhhDv1wGQHZaEuu/eoOOr07506wN8WSSc4rQ19XmTkoe0enGFBYrMdTTRqlSAaCnrYW2FujplCyD8nA5vYsx2awIjsfe9NHSk728bDl1NwNLI10aVzUjIjkPfR1tIpLz1dvYm+n/ZQFfbxdTvF1MOXU3g6Tsomf1lEUlU57OYYB15xO5kZDL3uupdPG0ZsnpOG4k5BJ0J4OWNZ58Vqf4byJjE9m4P6hMkhAL1u0iN78AEyNDXurRlvlrd1FQVISjrRXDAtvy7vTF1KtZjazcPD4aM6gMohdCCCFEZSWJiApm5al7FClUOFsa0rKWLb+fu09seh5dvZwoLFaw4dx9rE30MdTTwVBPBwsjPdrVseOjzVfp3dCZuIx8evmULBFx7l4a+67GY2SgQ5vadpwMT8HUQIda9qa0rm0HQGJmPlsvxqrHr2ZtTOf6jgCYGOjyTgd3krMLmLW/pMhtQB07lp64i4fjfyuGJkRlsHT3GYqLFbjYWdCqQS3WHw7lfnIGgf71KCwqZu2h81ibm2Ckr4uhgR6WpkZ0aFSbyQu306+NN7HJGfRtVTKrKeRGJLvPhGFiqE+AjzsnrkRgamRA7Sp2BPi4A5CQlsXm45fU41dztKabX111u12j2izacYo6rg7o6eowtldLtp28wsguJcvRvDeoPRPnbXmOR0iI8u3MlqUoiouxsHehVuNWhO5dT0bifeq1DqS4sJDze9diYmGNroERegaGGJlZUtuvA9tnTca7Qz8yEmNp0L7kIlDk1RDCTuxG38gE9yYBRFw4gYGxKXautXFvGgBAVkoClw5tVo9v7VyNui27qdvtR7zHlh9KEhpFBXkEb1tJg3alZ0+Jp9OhdumlLptUffznl0ltqwIlhX2j0/Lxq2bOCD9H9c8frq3f1PXR/vWdTP5VTM2ry8Va8eTK2zk8uJE9gxvZq9uv+Tv9beJC/NmSjXspKlZQxcGGNk29WLPzKDEJKfRo60dBYRFrdh3BxtIcQwN9jAz0sTQzpWPzhkz6fgkDOrckJiGFfp1KlmwKvnyTXcdCMDYyoJ2fN8fPXcXU2AgPNxfa+pUsC5qQnMbG/UHq8d1cHOjexlfd7uDfkAXrduFZsyqmxka8P6o/SWkZTFuyAV0dbbJy8kjNzMbVye75HighhBBCVDiyNFMF413F8sH060LyihQoVCqcLY04fjsJgBa1bBnTugYKpYq32tfiakzJtGzvqhb0a1yF+2l56r62nI/B1cYYJ3NDIpJy8KlqUTL9OvfJ78KLy8jjx/23eL9rybqlNe1M+bavF3EZ+f+wpxCVX8NaLiiUSlIyc8krKEShVFHF1oJjF8MBaNWgJuN6tUShVPHugLZcjihJ+jV0d2FgQEOiE9PVfW08dhE3R2ucbMyJiE2ikXsViosVpGXlPW7ox6rlYscPb/QiLiVD/djekOt09fMsmycsRCXjUqchSqWC3IwUCvPzUCkVWNhXIfzcMQBqNmpFy0HjUCkUtB3+LrG3Lpfs59GQhp0Gkh4fre7r4oGNWDu7YW7rRFJ0BFXqNEJRXExeZtq/ii0i9DgA4eeOcjP44H98puJpVLUyLJOivkJoipzD5Vsjz5ooFUpS0rPIyy9AqVTi4mDDkZCSm03aNPHizaE9UCiUvDeyH5dultTgaOhZk0Fd2xAVn6Tua8Pe47i5OOBsZ0N4ZCyN69aiuFhBamb2E8fjXs2ZHz94jdjEVABiE1P4bvEGPh07lJiEFHq18+fzcUMJDQsvw6MghBBCiMpIZkRUMMnZBRjoanMnKYfo1LwH0691UCofTL/W+f/p1yX7XYhKZ3nQPezNDNR99W7ozMmIFKyM9WhcxYLwxGz0dbQJT3r0wdTe3JAxrR9fdDozr4hhS0Lo28iFozeSaFXbll9PR6JUqbA00nvsPkK8SJIyctDX0yU8JhnPamkUFBVjpK+HQqkEQE9XB21tLfR0S3LCD5dLCL11nyW7TuNgZaruq19rH05cjsDKzBjvmi7cup+Enp4u4TGPvmw6WJkxtlfpooUPpWbmsGxPMCqVCkvTkmL1F8Pv413TGW3tkvFXHzhLWGQ8u05fo7t/vbI/IEJUMDlpSejq6ZMcHU5avCfFhQXoGRihVJQUEtbR1UNLSxtt3ZL3vIev4fvXQzm9aQmmNg7qvnw69CPi/AmMza1w8fAmKfIWurp6JEU/unBjZuNAy4Fj/zKesztXE38njGvHd1GvdXfqNO/Mud1rsHd1fxZP/4X2wY47TO/x+M8/T6v/8mvM7lOLKpYG7L+RyvKQeNa+XPdP2x0NT+fC/SzS8or5sL0rV+Nz+fVsPHP7ye9XPL1ncQ7HZhSw8FQs41u60LiqGQduprHoVCzz+7tjb6b/p/0Wn4pFS0uLzPxiJrWtyupzCaTnFUsS5B8kpWWgr69LeFQskbGuFBQWYWhogEJR8vlRV1cXbS0t9HR1gD98frwWzqINe3CweTRLZkDnVhw/dxUrC1N86nhw814Menq63I6MUW/jYGvF+KE9HhtLSnoWSzftQ6lSYmVuQkZ2Dn3e+ppBXVpx8PQF2vp6czTkMgnJadSu5vysDokQQgghKglJRFQwHeo6lGo3cbN67HbvdS6ZofB9/wZEp+bSrIYNI1u6qX/+sD5E0+rW6sfquzzdUgDmRnocfq9Nqcfe6SBfloV4qHPTOqXavnWqPXa7KUM7AiUFqqMSUmlerzqvdfdX//xhfQg/z0f7e9V4ui971uYmvDeoXanHfGpVwadWFXX7pY5NeamjrDMvxEN1mncu1a5W3/ex23UcNQUoKVadGhdFde/m+Pd7Tf3zh/Uhqnn5qR9zdvd66niaBr5E08CXSj3WpJvUdPk3vt4fycQ2VTgdmYlSpUJPW4vw5HySsgv5qGPJ39rotHy2XU3hzVYufLDjDlO7uvHNgUiqWRlSrFTxevOSv8N5hQpWhyaq+7Y21qWf96MlSmraGlHF0oBz0VmoAFcrw8fGtO9GKt8F1uBoeDrH72TQuY41Gy8lPXZbITRxDlexNOBu6qNZzx09rLgc+9d31t9Nzee7wBp8dyCSjLxi2tS0YNvVlLI+FJVOl5ZNSrX9Gng8druPXx8MlBSojoxNpEWjurw+sKv65w/rQzTzfvR5tIHH09Xws7E04/1R/Us9FrxuVqn2/M/GP1WfQgghhHhxydJML4Cq1sb/uTC1EOL5cHWwLpPC1EIIzbB2ci2TwtTi2ernbcvGS0kcupVGB3crMgsUmOprcyUuR72NlpYWD+r9olKpuJGQS0aeAlMDHdLzip96zCO304hKK+BGQi6h0VkUFispVqjK6imJF4wmzuF/kleoePwPHk7RFs9MNWf7MilMLYQQQgjxLEkiopJ4f+PlMuur3/zTRKfmciAsgZ8PhzNx3SXScgsJvpPKiGVnCY18/HrWm0LvM/dQOJM2XKJYoeTs3VTG/3ahzOISoqIqywLQPT5aTFRiGntDrjN741He/Ol30rJyuRQeww/rDjF383Fy8gt5d/4WFmwLYmvQ4/82rD9ygY7vzVO3p605wIJtQSzcXlKscPbGo8zbeoIjF26Tm1/IW3M2cvZGVJk9DyEqsocFo8vC4gk9SIsveW2FBe1m6cTHX0i6d+k0v344jKirZwE4v3cdx377iV0/f4pKpeJWyOEyjauy83Qw4Vx0FtWtDdHW1uJGQi4GetoU/SExYG+qx52UPLZdTSYtr5g6DsY4mulRUKykjr2xejsjfR11Qd7X/J1K3Un+R5PbufKavxN1HIxpXNWMX88mEJn26O7yznWsmXX0Pkdup9O6hhSsFn9PE+fwrcRcjkeks/1qColZhYRGZ3H+fha/hSaSV6jgq/2RpbavYWPEktNxGOpqYWEkE/Gf1lvfLiyzvrq+/hlRcYnsOXGOH1dsZuyXP5OakcXB0xf4bskG3p+5lNz8Ag6fucjMFZv5+bcdj+1n3e5jtB3xgbo9Y/kmvluygWm/bHhse9nm/cxcsbnMnocQQgghKjb5RFhBfLUjjHc71eZ0RApKFejqaBGemE1SZgEfB5YUmo1OzWXrhVgmtK/F+xsv81Xveny98wbVbIwpVqp4o03JOrG5hQpWn3n0RcHaRJ/+jR8tz1LT3oSq1sZUtTamY10Hvt19g8y8IvxqWHMvOYe/0u9BH++uv0RhsZKm1a35PfT+szgcQpQrny3fzfuD23Py6l2UKiV6Ojrcvp9EQloWX4womSIflZDKpuOXmTgggInztjBtTA++WLEHNwdripVKxvduBUBufiEr94Wo+7Y2N2FQ24bqdi0XO1ztrXC1t6KLrydTf91LRk4ey/cGU7eaAwVFCnS0tXC0MkOpUpFf+Pji84PaNuRM2D0AMrLzKCxWMLZXS96dv4UbUQlcCo/Bv351tLW1MDbUp1ldt2dz8IQoh3bP/4z2I97n7sWTKJVKdHT1SIq6TVZKAl3HfgFAalwUlw9uImD4RLb8MJEeb09jz4IvsHZ2Q6koptXgkqUqCvNzCdm+Ut23iYU1DTsPUrftXGth5ehK5NUQVCqwdn78Em5u3v4kx9xVt6OunqX3ezMJ3rqcuPCr1PZtx7Vjj79wJB7vj7UXPmjvCkDfBiUXYB+urT+rT8mM0l71bQH4sOPjfz9/x1BXm/vpBVSxNCjVd4/6Njj8YV39gFqWBNSyVLfPRpVcZBbirzzvc7i2vTHz+tdWP25vps9vwx/VO3m7TZVS+73m71SqHRKVRQ0bOacf+uSnX5ny2gCCzl9DqVShp6vDrXsxJKSkM3XCcAAiYxPZuD+ISSP68ta3C/nhvVF8OvdX3FwcURQrmPBSTwBy8wtYvnm/um8bS3MGd3u0hK57NWdcnexxdbKna6smfDFvNRlZOew8FsLsKa9z8PQFDp+5xO/7TuDv44lSpUKlUqnrTzw0uFsbTl28rm6/N7IfefkFTJy++LHt9s182Lg/6NkcQCGEEEJUODIjooLo36QKG0Pvc/B6Ih087cnKK8bUQJfLMRmltnt4D5RKBdfjssjIK8LMQJf03MJ/Ne7KU5HUczKnmo3Jn36WX6RQF8kuGVPFrAO36dvIBWMDyXGJF8egto1Yf+QC+8/eoHOTOmTm5mNqZMDliNhHG2lpoXrwClWpVITdiyc9Ow8zYwPSsnL/1bjL9pyhfnUn3BxtSM7Ipn8bH+q5OXLg3E3eH9KB8b1bceF2DLn5heTm//3fAC201P8vUiiwszJlTGBztpwou9lWQlQUjToP4sK+9dw4tZ86zTuTn5OJgbEpsbcevR60tCj1mo6/E0ZeVjoGJmbkZj5+5uDfuXnmIGlxkcTfCSPq6lmKiwpRFJf90ikvmg923CnzPmceiVb3+0/9v7TqOlUtDdh0KYndYSVr4296UPfhj0mI9RcSCY3OKrVvU1cz3mjhrB4zMevffZYTFZ+mz+OI5Dz2Xk/lp2P3/3Qe/9HR8PQ/ncd/dC81nyZVzf5D1JXL4O5tWLv7GHuDQunSsjEZ2bmYGhtx8caj34eWVsl7DJT8/1p4JOmZOZibGJGa+df1Of7OLxv3Ud/djepVHP/0s/iUNMYM6IKhvh6Xbt4hN7/gb/vKyM7hkzm/8snrQx7bFkIIIYT4I7laXEF4Opkz70gEXi4WaGtrcT0+E3d701JrCzuYG3InKZttF2JJyy3E08kMB3MD8ouV1HF89KHfWF+HMa1r/OOYC4/d4UxECs1r2RCdmktuoYJjt5K4FpdJVSsjfgm6x5tta2JupAfAp1uvkVOgwMRAh/ou5lga6//DCEJUDvXcHJmz6RjeNZ3R1tYm7F48tavaU6R4tFayo5UZETHJbD5xibSsXOq6OeJobU5+UTGe1R59ETQ21Gdsr5b/OOa8rSc4dfUuLb1qEJWYxuju/izcfpLcgkLG927Nir3BJKVno6ujjbGhPu8t2MqMsb3V+x8+f4uwyHgW7zzFmMDm6OvpsGBbELWr2FHfzQldbW0WbAvC09WhTI+VEBWBY816HFszB+fa3mhraxMfEYa9W20UxY9mGJnZOJIcHcGlQ5vJzUzDsUZdzG0dKS7Mx7GGp3o7fUNjWg4c+49jdhr9EQBJkbdwrd+UoA0L8WjWATvXkruZE+7e4HbIYeLCr2Ll5Ipr/aYcWzOHnLQkfHuNKNsDUIGdjcrkWHgGtiZ6DG5kD0BmfjEbLyYRm1lIF09rErMKuZOSj6O5Ps2qmbP4VCw1bY3o28AWM8OSj8Z7r6cSnf7oAlwfL1tsTfXUbWdzfU7fe3QzyKyj97Ey0uV+RgEfd3RV30XsYmnA6Ad3hb+3LYJudW0IicqiWTVz9t9MJSI5X33X+I5rKZy8m0FNWyMczPTZfyMVIz0dWte0ICI5j+1XU+jiac3i07HqYsNNqpqx/2YaTub6jPD980VFUTHJefxiqF+rGrNXbsWnTg20tbW5Fh5FneouFBX/4fOjrRXhUbFs3B9EakYW9WpVw8nOmvyCIurWdFVvZ2xowPihPf5xzLmrt3PyQhitGtcjKi6RwDa+TPtlA2kZ2Xw+fhiZ2Tn8tGob8clpDOramo9/WsmsD8ao9z905iJh4ZEsXL+bNwZ1o8e4L+jUojEHTl9gZJ+Of2oLIYQQQvyRJCIqkJ+HPlqeZUrXOsCj5ZC+798AgNmDfQDo1bDkDrqPu3vytAz1dIhOzeWNNjXUyzk9NP+lRup/j2rppk5CAHzdp36pbc/eTaX6Y2ZSCFEZLZr0aKmVT4Z3BmBgQMlrdtb4PgDMe2cAAH1beQPw+StdnnocI31dohLTGN+7lXo5JwBXeysCfB4t0TCii1+p/d4b1K5Uu12j2rRr9Gh5hQ+GdCj1829fe/RlNje/kPtJ6fh6Pv1yDkJUVIM+XaT+d+cxnwDQsNNAAPpMngXAgI9K6qx4ty+p69Dljc+fehxdAyPS4qOwcnQt1XeDdr0xt310Qc6heh2GfPGLut2oy+BS/dwKOYyTu9dTj1/ZbL+awued3dDVebScSF6REoWq5KLriYgMenvZEJVWQEpOEbYmejhbGJCRX0zhUxSOHtzInhmHo1E+uFM5MbuQiQFVmHE4mtTcYmxM9P52/7wiJQCWRrqcfXAHeUcPK1pUt2DKjjvoamtRx8EYXW0t7qTkU9PWiJ71bYjLLCwpNuyow73UfNysDbE01CG7QEF+kRJDPZnsXBnIefzinMe/fPW2+t+fjxsKwKCuJUsqzfnoDQAWfj4BgP6dSm5U+fLNl556HCMDfaLiEpnwUk/1ck4Ark72dPB/9B1zaGDbUvt9MKp/qXb7Zj60b+ajbh//9YdSP///9umL16nl6vzU8QohhBCicnpxPuVVIGVZePqhGftuqvv9p/7DE7PZezWe2Qdvs+tyHAAbH1Pr4eiNpL8sXA1w7FYS/Rq7/IeohahYyrIo9UPT1hxQ9ztx3ha+fa0HrvZWj922/+fLWLg9iBnrD7Pj1FWgpCg1gKO1uXq7NQfP/W3h6WlrDpCQ9mhpBWNDfd4f0oFaLo8vXilEZfQsCj8fWDqNQyt+4MS6eRxY+h1KhYIqHt7qJMQfHVo+/S/7SY2L4uiqWaUeq+3bjma9Xy3zmCuanvVtmH3sPitD4sl/cJE0Or2AwmIlKkCpUpGYXYShnjb3UvOJzyrEUFebjLxi0nIfLYXVxdO6VPHeP95FDqAFjPRz5MCtks9B9qb6rAiOJ79YWeribUx6Ab+cjuOnY/dp526pfvxmUi662tooVSoUD5a5PHAzjZ+O3adFDQt6edmSklNEQbESTwdjatkZseZ8IjYmeqWKDcdlFmKkr0N8ZiG5RQpE5SDn8YulLItSP/TNonXqft/6diHTJ72Kq5P9Y7ft89ZXzFu7k++XbmTb4TNASVFqAEdba/V2q3ccJuTKzb8dMyG59HfDwd3a0Ktds//0XIQQQghReciMiHIg5G4qx24mYWtqwBC/qgBk5hXx+7n7xKbn0dXLiYTMfO4k5eBoYUizGtYsOn4Hd3tT+jZywcyw5IvCnivxRKc9Wmu+b0MXbM0M1G1nSyNORaSo2z8euIWVkT7303L5JNBTPf26ipURrz1YumnS+kt0b+BEyN1UmtWwYf+1eCIScxjTpjoA2y/GEnQ7mZr2pjiaG7LvajxGBjq0qW1HRGIO2y7G0qW+I4uP31UXzW7qZsW+awk4WxgyooXbMz22QjxLZ8LuceTCbWwtTRnesQkAGTn5rD8cyv3kDAL965GQmkV4TDJONuY0r1+d+VtP4F7FngEBPpgblxRs3HX6GlGJj7649W/jg52lqbrtYmvBySuP1gv+Yd0hLM2MiU5M48sRXdWv3ar2VrzRs+RuubfmbKRH8/qcCbtH83rV2RMSRnhMEuMeLPu0Negyxy9H4O5ii6ONObvPhGFiqE+Ajzu3Y5LZcuIS3ZrVY8G2IHVBbd861dgTEoazjQWju/s/24MrxHN27/IZbp89gqmlLU0CS4qE5mdnELp3PRmJ96nXOpCslASSo8Ixt3Oiuk9zTqybj301d3w6DcDQpCTZd+34LtLiHyX6fDr2x9TqURLPt8fLmNk4cOXodm6HHObe5TM07DyIsztXkZOegpGZJX69RhB7+ypnti4j5f5dOo/5pFQhbIfqdYi5eYl7l06TcO8m+TmZ5KQnE/DSu+xf8jWONTyp0bAl9m4ez/cglgNNXc1p6voo8fqwYO//r0vvV+3RNiP8nm4pmEltSz6r2Zvpc/n9pgBMDKjy2G1XD//zzNSHMf2Tpq6PYq7v9GiG6f8XG/7jz0TlIOdx5Xb64nUOBV/CzsqCV3q1B0pqK6zZeZSYhBR6tPUjPjmN8KhYnO2sadGoLnN/20FtNxcGdWmNuakxADuOBhMVm6jud0CXVthbW6rbVRxsORF6Td2e9ssGrMzNiI5L4qu3hj/6/Ohox/ghgQCM/2oevdo149TF67RoVJddx85yOzKGNx8s+7T5wCmOnb2CezUXnOys2XUsBGMjA9r5eXM7MpaNB07SI8CXn9fsUBfU9vP2YPfxszjb2zBmQNdnemyFEEIIUb7JjIhyYPvFWCZ2dGdkSzcM9XQAyCtSoFCpcLY04vjtJOo6m6OrrUVKTiF2ZgZUsTQiPbfkDqMnNcS3KptC76vrSiRmFqjHTMn55wKIeYUldyhZGusRcrfkommneg683cGdE7eS2XI+BlcbY5zMDYlIyqGmvQm9fJxJySksVTS7mo0xlkZ6ZOUXk/8C3vUkKo8tJy4zeXA7Xuvuj6F+SUIwr6AQhVJFFVsLjl0Mp56bI7o62qRk5mBvaUoVO0vSs/MoLHryIrQvdWzChqMXKH5QcyI+NYvXuvtjpK9HSmbOP+6fV1Dy+rYyNeZMWCQAXXw9mTSwLUcvhbPx2EXcHK1xsjEnIjYJdxdb+rTyJiUjp1RB7epO1liaGpGVW0B+YdHfDSlEhXP58BbavTIZ/36voWdQkiQszM9DpVRgYV+F8HPHcKxZD20dXXLSUzC1ssfSoQp5WekUF/7LIsIPLgIplUoK83IxtbLj3uWSu1HtXGvRrPeraGtrE309tFQhbFtXd1w8vHHz9ufG6f2YWNpiYmFDWlwkVTwbUZCbTUHeP/9tEEII8fxtOnCSKaMG8PrArhgalNTUy8svQKlU4uJgw5GQS9R3r4aujjbJaZnYW1tS1dGW9MxsCoqe/PPXy73asX7PMYof1JyIT04rGdNQn+T0zH/c/2GhaisLM85cugFA19ZNmPxqf46EXGbD3uO4uTjgbGdDeGQs7tWc6d+xBclpmaUKalev4oilmSlZOXnkF/zL90shhBBCVAoyI6Ic6OnjzKwDt7E3N2BQ05K7k6JT8ygsVmKop4NSqSIhMx8jfR1uxGcRn5GPga4OiVkFpOUUYWtaMuuhq9ff3wmlBYxqWZ2Bi0ouctibG7A86B75RQp1HwD30/JYcvwOOYUK2nk+msJ7MyELXR1tlCpQPph+vf9aAmfvpdHS3QZHc0NORqRgZaxH4yoWGOho81twNP0bu5Qqmh2fkY+xvg63E7LJLVSoky9CVDR9WjXgh3WHsbcyY1iHxgBEJaZRUFSMkb4eCqWS+LQsjAz0uB6ZQFxKJgb6eiSkZZOamYutRcmsh+7+9f52HC0tLV4LbE6fT0vWh3e0NmPJrtPkFRap+wCITkxj4fYgsvMK6dikjvrxG1EJ6OnooFSpUCpLkpd7Q64TfD2S1g1q4mRjwYnLEViZGeNd0wV9PV1W7Q9hYNtGpQpqx6VkYmygz637ieTmF6qTL0JUBg3a9eHwyh8ws7ancbdhAKTFR1FcWICegRFKhYKslHj0DI1IuHOdzOQ49PQNyE5NIDczFVMrWwDqte7+t+OE7PgVfUNj8nMyaT/ifcJO7KIoP5e0+ChcajdA+aAgdlLkbc5sXYZCUUxVz8bcPH1AXQjbxMKaxMhbRJw/Qb1W3SnIyULfyARzOyfuXjqNlpY2KdERVPVs9LexCCGEeP76dWzBtKW/42BjyfAeJTW8ImOTKCgswtDQAIVCSXxyGkaGBoRFRBGblIqBvj4JKemkZmRhZ2UBQI8Av78bBi20eGNQNwLHfQGUFL5etGEP+fmF6j4AouOTmLd2Jzm5+XRq0Vj9+PWIaPR0dVAqlSgefH7cc/wcwZdu0qapF8521hw/dxUrC1N86nigr6/Hiq0HGdK9TamC2nGJqRgbGXDz7n1y8grUyRchhBBCvHi0VCrVk1c0E2Xm/PnzNG7cmH0TW9GgisU/71DJXb6fQedZJwgNDaVRI7lwIsqnh6/bo7Mm4F1L6p8AXAqPIWDiXHntCo15+LqcsPQoLh7emg6n0oi5eYm5owLK/Wv74e9/br9auNsaaTqccuF2ch4TNoWX+9+dKE3O5dIq03n88HcbtPoHfOrU1HQ45cLFGxG0fGlypfj9CiGEEOLJyYwIIYQQQghRIdna2mJsZMiETeGaDqVcMTYyxNbWVtNhiKcg5/KfyXkshBBCCFG5SCJCCCGEEEJUSK6urly/cZPk5GRNh1Ku2Nra4urqqukwxFOQc/nP5DwWQgghhKhcJBGhYbcTsjQdQrkgx0FUJDfvJ2o6hHJDjoUoLxIjb2o6hEqlIh1PV1dXuVgpKgU5lyu3m3fvazqEckOOhRBCCPFikkSEhjycfv3mmouaDqXckOnXoryztbXF2NiI12eu13Qo5YqxsZG8doXG2NraYmRszPqpr2s6lErHyNhYXttCCPEflXx+NGbUpz9pOpRyxVjeY4QQQogXjhSr1qCoqKj/PP36t99+48cff+STTz6hT58+ZRTZk0lPT+eVV15BV1eXFStWYGZm9p/6k+nXoiIoi9dtUlISr7zyCpaWlvzyyy8YGxuXUXRPZvny5fz88898+eWXBAYG/uf+5LUrNK0sXpdPYt68eSxbtowffviBdu3aPfPx/ighIYGXX34ZBwcHFi1ahJHRsy9mK69tIYQoG2XxPnX+/HnGjh1L165d+fzzz9HS0iqj6P6ZQqHgvffe4+zZsyxbtozatWv/5z7lPUYIIYR48UgiogLbsWMHvXr1YvLkyUyfPl0jMdy6dYtmzZrRuHFjdu/ejZ6enkbiEKKiyM3NpU2bNsTGxhISEoKLi8tzj0GlUjFq1ChWr17NwYMHad269XOPQYiKZuXKlYwYMYLvv/+eyZMnaySG0NBQWrduTbdu3Vi/fj3a2toaiUMIIcTzFR4eTrNmzfDy8mLfvn3o6+s/9xiys7Np3bo1SUlJhISE4OTk9NxjEEIIIUTFJomICurChQu0atWKzp078/vvv2v0YsSxY8fo2LEjI0aMYNGiRc/17hwhKhKlUsmAAQPYu3cvQUFBNGzYUGOxFBYW0rlzZy5fvkxwcDC1atXSWCxClHcP3+deeeUVFi9erNH3ua1bt9K3b1+mTJnCt99+q7E4hBBCPB9paWk0a9YMgNOnT2Ntba2xWGJiYvD19cXJyYljx45hYmKisViEEEIIUfFIIqICiomJwc/PT/0B8Hkv6/I4K1asYOTIkcyYMYNJkyZpOhwhyqUpU6bw/fffs3XrVnr27KnpcEhNTcXf3x/Q/BdbIcqrhzP/GjZsyN69e8vFzL+ZM2fy3nvvsWzZMkaOHKnpcIQQQjwjhYWFdOnShUuXLpWbG0cuXLhAy5Yt6dy5Mxs3bpTZeUIIIYR4YvKpoYLJzs6mR48eaGlpsX379nKRhAAYMWIEH330EZMnT2br1q2aDkeIcmfp0qVMnz6dmTNnloskBIC1tTW7du0iOTmZfv36UVhYqOmQhChXUlJSCAwMxMHBgY0bN5aLJATAu+++y5gxYxgzZgxHjhzRdDhCCCGeAZVKxdixYwkKCmLr1q3lIgkB0LBhQ9auXcvWrVv58MMPNR2OEEIIISoQmRFRgSgUCvr27cvhw4cJCgrC29tb0yGVolQqGTx4MLt27eL48eM0btxY0yEJUS4cPnyYzp07M3r0aObPn1/uli87ceIE7du356WXXmLp0qXlLj4hNKGwsJCOHTsSFhbGmTNnqFmzpqZDKqWoqIhu3boRGhrK6dOn8fDw0HRIQgghytD06dOZMmUKv/76K8OHD9d0OH8ya9Ys3n33XZYsWcLo0aM1HY4QQgghKgBJRFQg7733HrNmzWL79u10795d0+E8Vl5eHm3btiUqKoqQkBCqVKmi6ZCE0KgbN27g7++Pr68vO3fuLDd3VP+/VatW8fLLL/Pdd98xZcoUTYcjhEapVCpGjhzJ2rVrOXz4MC1atNB0SI+Vnp5O8+bNKSws5MyZM9ja2mo6JCGEEGVg48aNDBgwgE8//ZSpU6dqOpzHUqlUjBs3jl9++YW9e/fSvn17TYckhBBCiHJOEhEVxKJFi3jjjTeYM2cOEyZM0HQ4fyshIQE/Pz8sLS0JCgrC1NRU0yEJoRHJycn4+flhaGjIqVOnsLCw0HRIf+uzzz7jq6++YsOGDQwYMEDT4QihMd9++y0ff/wxv/32G0OHDtV0OH/r7t27+Pn5UadOHQ4cOICBgYGmQxJCCPEfhISE0KZNG3r37s2aNWvK9UzVoqIiAgMDCQ4O5vTp03h6emo6JCGEEEKUY5KIqAAOHDhA165dGTt2LHPnztV0OE/k6tWrNG/enDZt2rB161Z0dHQ0HZIQz1VBQQHt27fn9u3bBAcH4+bmpumQ/pFKpWLo0KFs3bqVY8eO4evrq+mQhHjuNmzYwKBBg/jiiy/4/PPPNR3OEzl16hTt2rVj4MCBrFy5slxftBJCCPHXoqKi8PX1pUaNGhw+fBhDQ0NNh/SPMjIyaNGiBXl5eZw5cwY7OztNhySEEEKIckoSEeVcWFgY/v7+tGjRgu3bt6Orq6vpkJ7Yvn376N69O2+++SazZ8/WdDhCPDcqlYrhw4ezceNGjh49SrNmzTQd0hPLz8+nXbt23Llzh+DgYKpVq6bpkIR4bs6cOUPbtm3p27cvq1evrlAX9NeuXcvQoUOZOnUqn376qabDEUII8ZQyMzNp2bIlWVlZBAcHY29vr+mQnti9e/fw8/PD3d2dgwcPVogEihBCCCGeP0lElGOJiYn4+flhZmZGUFAQ5ubmmg7pqS1YsIBx48Yxb948xo0bp+lwhHgupk6dyueff866desYNGiQpsN5aomJiTRr1gwTExNOnjxZIf/2CPG0KsNFlK+++orPPvuMtWvXMnjwYE2HI4QQ4gkVFxfTs2dPTp48yenTp6lbt66mQ3pqZ86cISAggH79+lW4ZL4QQgghng9tTQcgHi8vL49evXqRl5fHzp07K+yFwLFjx/LOO+/w1ltvsXfvXk2HI8Qzt2bNGj7//HO+/vrrCpmEALC3t2fnzp1ER0czaNAgiouLNR2SEM9URkYGgYGBmJqasmXLlgqZhAD45JNPeOmllxgxYgSnT5/WdDhCCCGe0MSJE9m/fz8bN26skEkIgGbNmrFy5UrWrFlTbgtsCyGEEEKzZEZEOaRUKhk6dCjbt2/n2LFjNG3aVNMh/ScKhYLevXtz7NgxTp06Rf369TUdkhDPxMmTJ2nXrh2DBw9mxYoVFf5OsIMHD9KlSxdef/11fv755wr/fIR4nOLiYrp3705wcDBnzpyhTp06mg7pP/kfe/cdFcXVxnH8y9J77wqKKGIXFVCxKypgL0mMmpjEaEw1vfeoyZtiqklM1SQmscQC2Dsi2LuoFOm997K77x8b15BoYgEX4fmc45FZZmd+O8PO7M4z997q6mqGDx/OuXPniI2NpW3btrqOJIQQ4l98+umnPPbYY3z11Vc8+OCDuo5z09555x1efvllfvrpJ+6++25dxxFCCCFEEyKFiCbo1Vdf5a233mLVqlVMmjRJ13EaRFlZGQMGDKCgoIDY2FhcXFx0HUmIBpWYmEhAQACdOnViy5YtGBsb6zpSg1i6dCkPPvggH3/8MY899piu4wjRoNRqNfPmzeObb75h06ZNDBs2TNeRGkReXh6BgYEYGRkRHR2NjY2NriMJIYS4goiICMaOHcv8+fN5//33dR2nQajVambNmsWKFSvYsWMH/fv313UkIYQQQjQRUohoYpYtW8Y999zDokWLeO6553Qdp0GlpaXh7+9P69at2blzJ2ZmZrqOJESDKCoqom/fvtTV1RETE4O9vb2uIzWoZ555hg8//JB169YRFham6zhCNJjFixczf/58li5dygMPPKDrOA3q3LlzBAYG0qdPHyIiIjA0NNR1JCGEEH9x/PhxgoKCGDZsGKtXr0ZfX1/XkRpMTU0NwcHBnD59mpiYGNq1a6frSEIIIYRoAqQQ0YTs2bOH4cOHM3PmTJYuXdosu0E5fPgwAwcOJCQkhN9++w2FQoYpEbe32tpaRo8ezdGjR9m/fz8dOnTQdaQGp1QqmTx5Mlu3bmXfvn10795d15GEuGkbNmxg3LhxPPPMM7z77ru6jtModu7cSXBwMPfffz9Llixplp8rhBDidpSZmYm/vz9OTk7s2bMHc3NzXUdqcPn5+fTt2xd9fX2io6OxtbXVdSQhhBBC6JgUIpqI+Ph4AgIC6NGjBxs3bsTIyEjXkRrN2rVrmThxIs8//zwLFizQdRwhbpharebBBx/kxx9/ZOvWrQwaNEjXkRpNeXk5AwcOJCcnh9jYWNzc3HQdSYgbdvToUQYMGMDIkSNZuXJlsy6Kf//999x333188MEHPPnkk7qOI4QQLV55eTmDBg0iKyuLAwcONOvPVBcuXCAwMJAePXqwadMmaZ0nhBBCtHDN95v3baSgoIDQ0FAcHR1ZtWpVsy5CAIwfP57//e9/LFy4kO+//17XcYS4YR988AHffPMNS5cubdZFCABzc3M2bNiAWq1m7NixlJeX6zqSEDckPT2dMWPG4Ovry/Lly5t1EQJg1qxZPP/88zz99NOsW7dO13GEEKJFU6lUzJgxg7i4OMLDw5t1EQKgffv2rFmzhr179/LQQw8h90AKIYQQLVvz/vZ9G6ipqWHSpEnk5+cTERHRYpqsPvnkkzz44IM8+OCD7Ny5U9dxhLhuf/zxB88++ywvvfQS99xzj67j3BJubm6Eh4cTFxfH9OnTUalUuo4kxHUpKytjzJgx6OnpsX79+hYzVtE777zDxIkTmTZtGkeOHNF1HCGEaLFeeOEF1q1bx6+//kqPHj10HeeWGDRoEEuXLuXbb79tNgNyCyGEEOLGSNdMOqRWq7nvvvv45Zdf2L59O0FBQbqOdEvV1tYSEhLC4cOH2b9/Pz4+PrqOJMQ1OXToEAMHDmTMmDGsWLGi2d9R/Xfh4eGMGzeOp556ivfee0/XcYS4JkqlkokTJ7Jjxw6ioqJa3FgnFRUVDB48mPT0dGJjY2nVqpWuIwkhRIuydOlSHnzwQRYvXszjjz+u6zi33Msvv8yCBQtYtWoVEydO1HUcIYQQQuiAFCJ0aOHChbz44ov89NNP3H333bqOoxNFRUX069ePmpoaYmJicHBw0HUkIf5Vamoq/v7+eHp6snPnTkxNTXUdSSc+/vhjnnjiCb7++mtmz56t6zhC/KennnqKxYsXs379ekJDQ3UdRyeysrIICAjA1taWqKgoLCwsdB1JCCFahG3btjF69GgefPBBPvvsM/T09HQd6ZZTqVTcddddbNiwgT179tC7d29dRxJCCCHELSaFCB1ZuXIlU6dO5bXXXuP111/XdRydSkpKIiAggI4dO7J161aMjY11HUmIKyotLSUoKIji4mJiY2NxdnbWdSSdUavVPPLII3z99dds3LiR4cOH6zqSEFf15Zdf8tBDD/HJJ5/w6KOP6jqOTp08eZL+/fszaNAg1q5di76+vq4jCSFEs3b27Fn69u1L37592bBhAwYGBrqOpDOVlZUMGTKE5ORkDhw4QOvWrXUdSQghhBC3kBQidCA2NpbBgwczYcIEfv755xZ5R8zfRUdHM3ToUKZOncqPP/4o20Q0OXV1dYwbN46oqCiio6Pp3LmzriPpXF1dHWPGjGH//v3s378fX19fXUcS4h+2bNlCSEgIDz30EJ9++qmu4zQJGzduJCwsjMcee4yPPvpI13GEEKLZys3NJSAgAHNzc/bt24eVlZWuI+lcdnY2AQEBWFtbExUVhaWlpa4jCSGEEOIWkULELXbx4kUCAgLw9vZm+/btmJiY6DpSk7FixQqmTZvGW2+9xcsvv6zrOELU8/jjj/P5558TERHByJEjdR2nySgpKaF///6Ul5cTGxuLo6OjriMJoXX69Gn69etH//79Wb9+fYu+C/XvPv/8cx555BE+//xz5s2bp+s4QgjR7FRVVTFs2DDi4+M5cOAAnp6euo7UZFw6PwcFBbFu3To5PwshhBAtRMsaYVXHiouLCQsLw9zcnLVr10oR4m/uuusu3nzzTV555RV+/fVXXccRQuuzzz7jk08+4dNPP5UixN9YWVkRHh5ORUUF48ePp6qqSteRhAA0d1yGhobi6enJr7/+Khc5/ubhhx/mscce47HHHmPTpk26jiOEEM2KWq3mvvvu48iRI6xfv16KEH/TuXNnfv/9dzZv3sxTTz2l6zhCCCGEuEWkRcQtUldXR1hYGDExMdKFyb9Qq9XMnDmTlStXsnPnTvr27avrSKKFi4yMZMyYMTz++ON8+OGHuo7TZB04cIBBgwZJl3OiSaisrGTo0KEkJSVx4MABPDw8dB2pSVIqlYwbN449e/YQHR1Nly5ddB1JCCGahddff5033niD33//nSlTpug6TpO1ZMkS5s2bx6effsojjzyi6zhCCCGEaGRSiLgF1Go1Dz/8MEuXLmXTpk0MGzZM15GatOrqaoYPH865c+eIjY2lbdu2uo4kWqgTJ07Qv39/hgwZwh9//CGDuv6HVatWMWXKFF577TVef/11XccRLZRKpWLatGmsX7+e3bt306dPH11HatJKS0sJCgqiqKiI2NhYXFxcdB1JCCFuaz///DPTp09nwYIFvPDCC7qO0+Q9+eSTfPzxx2zYsIGQkBBdxxFCCCFEI5JCxC3w8ccf88QTT/D1118ze/ZsXce5LeTl5REYGIiRkRHR0dHY2NjoOpJoYbKysvD398fe3p69e/diYWGh60i3hUWLFvHCCy/w008/cffdd+s6jmiBXnnlFd5++21WrVrFpEmTdB3ntpCamoq/vz8eHh7s2rULU1NTXUcSQojbUlRUFMOGDWPatGl899130kL0GiiVSiZMmMDOnTvZt28f3bp103UkIYQQQjQSKUQ0sg0bNjBu3Diefvpp3nvvPV3Hua2cO3eOwMBAevfuTWRkJIaGhrqOJFqIiooKBg8eTHp6OrGxsbRq1UrXkW4barWa+++/n59//pnPPvuM2NhYvvnmG13HEi3EsmXLuOeee1i0aBHPPfecruPcVg4dOsTAgQMJCwvj119/RaGQYcSEEOJ6JCQkEBAQQJcuXdiyZQtGRka6jnTbKCsrY8CAAeTn5/PUU0+hVCp58skndR1LCCGEEA1MChGN6NixYwQFBTFixAhWr14tX+pvwM6dOwkODmbWrFl89dVXcleRaHQqlYqpU6eyceNG9u7di5+fn64j3XaqqqoYNmwYJ0+epLS0lKSkJNq0aaPrWKKZ27NnD8OHD2fGjBl88803cr64AX/88QeTJk3ihRde4J133tF1HCGEuG0UFhbSt29fVCoVMTEx2NnZ6TrSbSchIYGgoCAA9PT0SE9Pl3O5EEII0czIlfFGkpGRQVhYGB07duSnn36SIsQNGjJkCF9//TVLly6VgYLFLfHSSy+xZs0afvnlFylC3KCTJ08SHR1NdXU1oBnwW4jGdOHCBSZMmEBQUBBLliyRCxc3aMKECbz77rssWLCAH374QddxhBDitlBTU8OkSZPIzc0lIiJCihA3aMOGDeTm5pKdnU1mZiYXLlzQdSQhhBBCNDADXQdoblauXMmaNWs4f/48enp6rF+/HnNzc13Huq3NmjWL8+fP88wzz1BZWUlUVBQbN26UC02iwVRXVxMcHMzQoUNZtGgRH3zwAePGjdN1rNtW7969WbNmDe+99x4xMTGsWLGCefPm6TqWaIa+/vprDh8+zM6dO3F0dGT16tXSFcZNevrppzl//jwPPvggaWlpnDp1il9//VXXsYQQosk5d+4cM2bMoHPnzkRFRbFt2zbat2+v61i3rTlz5mBoaMiiRYtIS0vj999/5+WXX9Z1LCGEEEI0IOmaqYGFhoZy4MABKioq+OOPPwgODtZ1pGahurqakJAQ9u3bR3V1NWfOnMHX11fXsUQzsWfPHgYNGoS+vj7jxo1j5cqV0oqpgcTGxuLi4oKnp6euo4hmKDAwkMTERGpra4mMjKRv3766jtQslJaWMmzYME6fPk1FRQXZ2dk4OTnpOpYQQjQpCxcu5PXXX6empoYFCxbwwgsv6DpSs6BWq4mMjGTo0KGYmprqOo4QQgghGpBcaWtASqWSbdu2kZeXR1VVlXRr0IDOnDnDjh07UKlUAKxdu1a3gUSzsnr1agD09fVZu3YtqampOk7UfAQEBEgRQjSKsrIyDhw4QG5uLkVFRaxYsULXkZqN2NhYDh48qO1eLSIiQseJhBCi6fn999+pqanB0NCQL7/8Erm/r2Ho6ekRGhoqRQghhBCiGZIWEQ3o4sWLtG3bFhcXF1577TWmT5+OhYWFrmM1GwcOHOB///sfq1atIigoiL179+o6kmgmOnfuzNmzZ5k5cyZPPvkk3bp103Wka5KSkkJeXp6uY4hG4ODggIeHh65jNGmXWjK1bduW1157jTvuuAMTExNdx2oW1Go1e/fuZdGiRWzcuJEJEyawZs0aXccSQogm5dKF8meeeYa5c+fi5uam40RNh3xGrU8+1wkhhBAaUohoYImJibRt21bGL2hE2dnZmJmZYWlpqesoopkoLCxEpVJhb2+v6yjXLCUlBV/fjlRUVOo6imgEZmamnD0bJ19a/4VarSYpKUnOuY0sLS0NBwcHKfIIIcTfpKWl4ejoiLGxsa6jNCnyGfWf5HOdEEIIoSGDVTcwLy8vXUdo9pydnXUdQTQztra2uo5w3fLy8qioqOSr+ZPxaeWo6ziiAZ1Ly2XOR6vIy8uTL6z/Qk9PT865t0CrVq10HUEIIZokOT5e2aXPqN++8Sg+bdx1HUfnzl1M5/7XPpXPdUIIIQRNrBAhTTj/qbk342wp+7y578crkX17a/i0cqR7O+kKQFy/lvIevR66fj83tpayz5v7fhSiOZPjVPPh08adHh3lhgEhhBBCXNZkChEpKSn4dvShorJK11GaFDNTE87GnWuWH1RTUlLw6ehLVWWFrqM0OhNTM87FnW2W+/FKZN/eWr9sP8Kpi1l4OtuSkV/Cs3cMYfeJBIK6tMXKrH53KvOXrOejh8ZedVn/9fu/rq+iupb7RvWhm9eVCyHzl6znlbuHc/hCGiN6dbj+FwakZBfy7NIIBnXzIrCTJz29r/3Oul+2H6F9K0f6+LTmt13HuGNwjxvKUKdUYqCv/6/zfLE+Gj2guLyK5+8aqn1cpVLx6g+bsbc2Z/6kgXy/+SBV1bWs3nuSbf+bw9cRMWw5dI5Vr91zQ9lulKbbBF8qKpr/e/R6mJmZcfZs8zxWy3FZCNHUpaSk0NHXl8oWcG4yNTMjrpmeb67kp/BddPB0w7/rtX8e3HP4NNn5RZiZGDPArxNWFmb/+Ry1Wo1KpUZfX3HVedKz8/n45w0429vw1D3j2Xf0LLEnz5GYlsX8GeNRqlRsiT5CalYes8YPp2NbTcuX0wkpfPLzBoYH9mBKcH+OxSWyad8RTI2NeGBSMHsOn+bjnzfw49tP4Gxvc82vUwghhGhJmkwhIi8vj4rKKj6d5E17B1Ndx2kSLuRV8ujq+GbbjDMvL4+qygq8Z3+KqWt7XcdpNJWZF4hf+miz3Y9XIvv21psQ1JU+Pq05Fp/OrzuPkVtURq/2rdh+5ALpeSXUKpXMnzSQi1kFfL/5IGeSs3ln1igW/boTZ1sLCkormDywG/HpeWw7coHqmlpOJ2dTXVvHjOG9+HHrIdztrenh7aZdn54eRJ9OZsWOY7RxsaVOqWLKoO58sHI3HVo5UlxWSVllNacuZmFkoE/UqSQMDfQxNNDH2caC+Ix8hvm1Z/uRC9oMT04exOs/btEub0xgJ+1rtLcy1xZKLv0/+c1lTB3UnejTF1k8bxxvLt+Km70Vvh5OXMjIIymrAHsrM2LOpjCkhzeLV+/B2daS1k42OFlbsDrqJF6udthbmjFtmJ92XSnZhWw7eoHSimo6eTozolcHvo6IQalUAWBooM8DIQHa+RMy8vlg7hjeWL6F4rJKrC0057ElG/YzIagre04mAjBrZB+OxadrxzR4MDSQsyk5jfvHcQWabhMq+H7x23T0bnvL198UxcUnMeuJl5vE+7kxyHFZCNHU5eXlUVlRwcD5X2Dd+sZuYLgdFKeeZ89H81rkceqdpb9jZ23JheQMHpgUTOSeQ1iYm+Lj6UZ6TgEdPN3wdHPimzVbGODXGYBj5xLp3dmbee98ydjB/myLOcbnL83F0EBzKaOmto49h09x6kIKatTcN2EECamZ7D8Wp11v/56+2tYZ7s72PHxnCKu2Rmt/17+nL1+v2kxmXgFBPTtxNjGV6GNx2nUAdG7nwd2hg8nOLwLgmzVb6eztQU1NLfoKBaODenHkbMKt2IxCCCHEbavJFCIuae9gSlc3C13HELeQqWt7LDy76jqGaASyb3Xjr+P2llZWY2tpyqaDmi9jLnaWzBrZh283HuDQ+TROXczC260z6XkleDrZ4u3uwHC/9sz+cCVDurejrKqG+Ix8/LzdSckporhc02rtj6iTmJsYERLgy/HEDCxNXUjMKmDfqSTGBHYiqGtbDp1P1eYIjz3Luw+EEJ+RT0TsWQBG9vHB282ej9fs1WY4lZRFUXmldnkAAb4ePDS2X73XqFarAWjlYM3UQd3ZfyaZ/JJyDPQV2gJBcnYh7Vs54uWqGYQ8+vRFRvt3ZEBXL576cgMT+nehf+c2TB7YjflL1msLESnZhTz/bSTDerZn+nA/7K3Mr33bc3njp+UWk5FfwuZD5ziRmElJRRVWZiYs33aE12aOuOZlNqaO3m3p2cVX1zHELSTHZSFEU2fdugMO7brpOoZoJBOGBpKcmcuxuER6dWrH6YQUCkrK0NMDNZc/4/2drZUFU0cGkZKZS1ZeEa1dHAD4bEU48SmZ3DtuGH26tNfe7HE91u6IQaVWE9RTcwPMuCEBeLk7c/x8Eu1au1zxOXlFJUwdGcSxs4lsjj7KuCEBV5xPCCGEEJc1uUJEQ/tgZyozejvjZGnUqOtZdTyXnNIa8spreSXYU/sB6OvoDPT09CipquOpIa0bNUNLk7ruA5wHz8DI2qlR15MbvYqa4hxqS/LwnPqKdt9mbPkaPT096ipKaD3uqUbN0NLIvr1+f0Sd5PD5NDILNF0zffpHFABxKTn08Hantk5zJ39WQam2RcSM4X74ebtTWVNHOzd7jAwNqK6pI/LAWSb070JiZgEmRgZ4u9mz63gChvr6xKfnYWlqrG2BUV1bh4udJVW1dfh6ONGvcxu+Co8hq7CUqupabb4Q/44s+nUn+go9zE2MAVDo6WFvZV4vQ5e2LvWWdyWr9pwgLbcIoN6XTXsrc5QqFd9ExuLr6YyXmz3r95/GxkLTPVW/zm1YvHoPRy6kE9SlzZ/P/+fyPZxt+eXFu8ktKmPzwXPYWJoS4u/Lg6GBV93+3m72LFkfjYmRAdYWpnwVvp85YX15577RpGQXstr4JFZmJmQVlGJuYqTtMmtd9CnOJGfz686j3Dmk5zXs6ablrY++ZPbdk3FxcmjU9fy8JpysnDxy8wtZ+OIT2v3+2vuf42RvR2FxCS8/MYcXFnyEi5MjZ84n8NV7rzHx/scZ0s+fPj26ENire6NmbO7kuCyEaKqOrngPn1H3YGbr3Kjrid/5O5WF2VQW59Hn3te1x6ekqHWU5aRgbGVPh+HT2Pb2dFy7DcCxgx9OHfs0aqbbkZ6e5rYNlUpNXlEphgYGXEjOYMxgf35Yu512Hq5Xed7l56tUKu3jT84cj0qlIubEeT75eQMzxgzFz7cdfr7trrickrIKlm3YyYnzSRw5m0ByRi5frdrEmIF9OBWfQm5BEcfOJZGSmct944dz4OR59PUVuNjbsnZHDGUVlfTo2JY5k0fyxa+RVFRV89i0MA6cPM/BUxfQVyh47O4xmP35eVcIIYQQl932hYhDqaVsiSvA1FCfge2s2RVfhK2pAQn5lczs40JCXiXrT+Uztos9D/x2jnv9NXc0ZJfUkFVay6MD3Fm0PYU+HpYkF1QxuYcj3+zPZEGYF4u2pTCnnyu2ZoYArDyWS1FlnXbdM3o7Y2Ko6X/ycGopC8O8WH4wmzPZFXR20dxBm1RQxcIwLxZuTaa4sg5r09t+k98ypfGHKDi2BX1jU6w7DaTo1C4MLGypzErAZfBMKrMSyD+wHnv/sZz7/AFcht4LQE1RNrVFWbiHPErKmkVYevehKjcZx36Tydz6DV7TF5CyZhGuwXMwtLAFIDd6JXXlRdp1Ow+egcJQc6GwNOEwXjMWkr1rORVpZzBvrWkmXJWdhNeMhSSvXkhdRTEGZta3dPvczmTfNqy/dil0yaVxChbcHwLA1EGai7B/vHHvFee75IvHJ15xHfe62F3xcWNDA16bEVzvsVdnaO72nzxQczfj/EkDySsuJyWniKSsAkIDO9GlzeW7y/6e4e/Lmz9poPbnS+NXXFr2pelL/78yvX5Lg0Bfz3q/v7Q9/u5K42I42lhccdteyd9bbMwJ66v92cPZVvsaXOwsefPekdrfjevXhXH9ulzTOnQh5vBxwrfuxszMlGFBAWzZHY29rQ3nEy/y4PQpnE9MZlX4FiaHBXPn3KeZM3MqAJnZuWRm5/LMvPt49X+f0bdXd5JS05k+MYxPv/uZj996gVf/9xlPzJ6BnY3m/fXT6nAKi4q1655992RM/vwSH3vkJJ+8/QJLf17FybMX6NZJ02VHakYWbzz9MHc//BzFJaWoVGpKy8qxstCcg12cHKioquLK91aKv5LjshCiqcqJO0hK7CYMTMxw6zGI9CM7MLa0ozg9no6j76U4PYGkqHW0DRrHjoWz8A25D4CKgiwqCrLpNvkxDi9fgLOvP6XZybQbMpUz67+i79x3Obx8AV3GP4Sxpeb4FL/jN6rLirTr9hl1DwZGmuNT7rlD9J37HnGbfqTw4mns2mrO3xe2/UJr/8vndlNbZ+qqK696Z39LND1sMIB2jAhne5srjhfxv6dmXXUZnzz/IABP3TP+H79TKBT069GRfj06/mcWKwszXplzh3baz7cdE4b99WYTD4b4X7lFzofP3K/9ub2HW735XB3tWPvxS/+5fiGEEKIlu+2viq89kUdHZzMMFHok5mu6DAntbE9qUTUnMspp52DK2C72OFka0dHJjIndHHkhPJGFYV7sSypmf3IJKrWaKd0dScivZNeFIgLaWLHxbD4KPbRFiJt2A01EW7q82LWYteqInsKAqmxN/+r2vUKpzkulPPkEpi7tsPcfi5G1E2buHXEMnEji8hfwmrGQ4rh9lJzbj1qlwrHfFCqzEig6tQurDgHkH9kIegrtBZGbJXv2+sm+bXkcrM25J7i3rmOI6/Tb+k109vHGwECfC0kpAEwIGUZyagZHTp6lg5cnk8OCcXFyoJNPO+4aH8JjLy/kk7dfYFf0QfbGHkalUjFj8hjOJ15ky+5ogvz9WLdpBwqFQluEuFGhwwby1fLfKSopRV9fHxtrK1549AFefvdT8guL+GLhKwDMefYN+kqLiH8lx2UhRFOVuGcNtp6+6OkbUJKu6YO/Tb8xlOWkkB9/HGv3drQNGoeZrTO2nr60GzyZ/V8+S9+575F5Ioqs0/tBrcJ76B0Up8eTfmQHzp37krw/Aj2FQluEuFF11RX4htzH4eXvUF1aSP+HPwAg6tMncPb1v+nXL4QQQgjRXNz2hYhxXR2ITirGxtSAXq0tSSmsQg/NF1WVWo23oym/HMnhzp5O2uazgZ5WLIlK17aI2B1fxLKD2STmVzLT3wUvOxNCl57ku7t86q1rSg/Hq+bo1dqSJVHp5JXXMr23E9/GZHJ/oCte9qYs3Z+JiYGetIa4Tg4B4yiOi8bA3AZLz15U5aZoCjp6eqhVKkxdvcnZ8wtOQXdq961Vh0DSNy3R3p1ZdHo32buWUZmViMvQmZg4eXHy7VB8Hv2u3roc+025ag7Ldr00yyzJw2nQdDK3fYvr8PsxdfEic+tS9AxN5M7M6yT7tmVZtGIHs0b1wdnWslHX8+vOY2QXlpJXXM6b947U/u288sMmXGwtiUvJ4dNHJ6BSqXj1h83YW5szf9LAf0yLy6aOHcXu/Qexs7amp58vSSlp6KGn7Raho3dbvv9tLfdMHYdCT9NCMMjfjw+/+lHbImLrnv18/dNKLiSmMGfGFLzbehA0bgYrl35Ub13TJ4VdNUeAX1c+/OpHcvMLeGDaJD7/fgUPz7oLtVpNZVU1k8OCsTA3Ize/gM+++4XKyipMTYx59/Nvqayqxq+rjIPxX+S4LIRoqtoOmEDWyX0YW9pg79Ob0uxkzZc9PT3UajXWrTpwfuvPdBg2TXt8cu7Ul5NrPtO2iEg/spO4jd9TnJGI7+hZWLl5seHpkQx7aVm9dXkPveMKCTQcfXpzcs1nVBXn4TNyJmc2LKXTmNl4BIZwesPXqOpq0Tcy4fjKxShrqrCXcS5u2DtLf+eBicE429s06npWRO4hK7+Q3IJi3nlshvbv540vf8XR1oqi0nJefEBzzvr810jOXUzjk+cf5L5XP6GXbzt82rozPLBHo2YUQgghmpPb/sp4Hw9L+nhcvrjVxVXTHYOTpRG9Wte/6PXuGC9AU7z4K32FHvcGXO4mZEtcAaGd7HG1uvZ+HSd3r1+kuD9Q07fl7L5X7uNS/DdL7z5Yel/uV9XcQ9P82cjaCct2verN6zXzXUBzIeWv9BT62u4jAAqObcG+dyjGtte+Xxz7Ta437Tpc0yTXdcTsa16GqE/2bfNyIC6FyANxmBsbMriHN9uPXMDO0owLGXncN6oPFzLy+CPqFBOCujBj0QrtYNJZBaVkFZQwf9JA3vppGwG+HlzMKuDOIT1ZsiGa9+eM4a2ftvLIuP7YWpoB8OvOoxSWVmrXPWtUH0yMNC3XDp5L5YO5Y/h+80FOXcyia1vN34JapaasshpLM80xfcmG/UwI6sqek4lXnBaX9e3VvV5Lgu6dNQV6FycHAvzqX2D5bIGmO4KpY0fWe9xAX5+5My9f2AnfupsJo4fj7nLtYw3cPbF+keLhWXcBMDmsfjdeH77+bL3p5x6+H3Ft5LgshGiqnH3967UssPfqCoCZrTNOPvVbW/ab9z4AXgMn1Htcoa+Pb+jlc0JK7Cba9BuDuf21H5+8h0ytN91pjOa41GXcQ/Ue7z7liWteZksVe/I8EXsOYmZizFD/bmyNOYadtSUXkjN4YFIwF5IzWLU1mskj+jHtufd5cLLms0VmbiGZeQU8dc8E3liygsBuPiSlZzMtZBCf/xrBR88+wOtLVvDYtDHYWVsA8EvkbgqLy7Trvn/iCEyMNeNHxp46z+JnH+DbNVs5dSGZrh3aAJCWlcdrc+9kxosfUlxWwfqdsYzo24NzF9MAcLG3oaaujpraOoQQQghx7W77QkRDuFSguCS4ox3B/929pLgNXLpYcoldj2DoEXyVucXtRPZt07Fqzwk6eTpjoK8gISMPgLH9OpOSU8jxhAzauzkwIagLzraWdPJwZuqg7jz15QY+mDuGvScT2Xf6Iiq1mruG9OBCeh7bj1ygX+c2hMecQaGnpy1C3CgbC1OenjqYN5ZvISWniIz8EjYfOseJxMx/TJdUVGkHkhYN41KB4pKwEYMIGzFIR2lEY5LjshCiqbpUoLjEI2AUHgGjdJRG/L45is7tPDDQVxCfmgnAhKGBJGfmciwukfaebkwe0Q9next8vVpzx6gBPPHeNyx+9gF2HzpF1NEzqFQq7g4dxPnkDLbGHKN/z06s33UAhZ6etghxo0YP6MXXqzZTXFqBvkLBkbMJlJRVcCYhlfTsfBY8PhOAeW8vIWSAdD0qhBBCXCspRACphVWsO5XPIwPcb2o55dVKvonJpEapwsnCiHv8XVi8O41zORUsmfLPwbjErVOVl0r+gXW4hzxyU8tRVpWTue0bVHU1GFk74TLkngZKKG5UQ+1bVV0t2Tt/QK1SUnwmCt/5PzVQwuZv0sBu7D2ZiK2FGd293LiYVfhnjy56qFRqOrR2ZPnWw9w93A89habJe7/OnnzyR5S2RcSOo/F8u+kgCRl53D/an3au9gx75it+fvHueuu6c0jPq+bo49OaT/6IIre4jHuDe/NV+H7mhPUlt7icLzfsp7K6llYOVrxz32hSsgtZbXwSDyebetNShLh1LqZmsHLDZp6Zd/WBKa9FbW0tXy77HaVKxY6oWNb/+FkDJRQ3So7LQoimrjQ7haS9a+k2+bGbXtaJ1Z+gMDDE1tMX9x6Dbz5cCzAluD97Dp/G1sqCHh29SErPRk9PT9O9skqNT5tW/LBuOzPHDEHx52fH/j18Wbx8vbZFxPaY4yxdvYX4lExmTx6Jd2sXBs16kd/+V7915LSQq9/8ENClA4uXrye3sJj7Jgzni98imXdHCGq1mqrqGiaN6IeFmQkfPfsAAOeS03F3tufjn9ZTVlmFp9u1t+4UQgghRDMoRPx4IIs6lRo3ayP6t7Vm1bFcMkpqGOVrR02dipXHcrEzM8DEUIGJgT7WpvoM8bbhpcgkxnd1ILO4hrFd7AE4lFrKlrgCTA31GdjOmuikEiyMFbRzMGVgOxsAckprWHcqX7t+T1tjgjvaAWBurM/jg1qRX17LR7s0zTafGNSK5zZIdx83I2vnj6iVdRjZuWHdsT+5+1dRU5CBXc9RqOpqyI1eiYGFHQojE/QNTdA3t8amyxCSfn4Jh4Dx1BRkYu8/FoDS+EMUHNuCvrEp1p0GUhIXjcLEAlPXdth00vQNX1OcQ/6Bddr1Gzt6au7qBPRNzGkV9ji1pfmkrf/on2HFdWlK+1ZhYIjriNnkHwrHedD0W78xbmMBHT0I6Oihne7qpenmwNnWkj4+revN+9FDmv01aUD9bn309RXM/rPLJoDIA2cZ268zbvZW15zjziE96k3PCesLwLuzQ/8xr4ezbb3xIP4+Lf7d18tXUltXRytXZwb368PPayJIy8xibPAQqmtq+Wn1BhzsbDAxMcHU2BhbaytGDOrH/NcWMXXsKNIzc7TdKsUcPk741t2YmZkyLCiA3fsPYWlhRod2bRkW9Gc3Xjl5rNywWbv+th6ttK0qDA0NefT+u1kTuY0Hpk269RujmZHjshCiqYvb+D2qujrMHdxw7TaA+J2/U56XjmdgCMraGuJ3/IaJlR36RiYYGJtiZG6Nu99QYr5+Aa8BEyjPz6Bt0HgAcuIOkhK7CQMTM9x6DCLr5D4MTC2wcffGrYfmPFNRmE3S3rXa9Vs6e2pbUxSlnCM/4QTOnfui9+dYSeK/BXbzIbDb5fEYu/3ZJZKzvQ3+XevfwPfJ8w8CmuLFX+nrK5gz5XKrlog9hxg/NBA3J7trznFXSP3PfvPuCAFg0vB+V5z/UpbHp4+95nUIIYQQ4rLb/tNSd3cLlCo1BeV1VNaqUKrBzcqIvQnFAPT3smZ2XzeUKnh0oDunMss1z3OzYGI3R9KKq7XLWnsiDw9bE1ytjEjMr6K7uzm1SjVFldfe92NmSTUf7krlmaGt/3tmcU0s2nRHrVJSV1qAqqYSVEqM7NwoPrsXAOuO/XEbMRtUStxDH6U85ZT2eY6BE6nOT9MuKy92LSaOHhjZuFKVnYh52+6olbXUlRddc57qwkxS139I6wnPNOjrbIma2r4FKDy+FVvpSuSWu1SguCTE31cKA02YX7dOKJVK8gqLqKiqQqlU0srVhR37DgAwuF8fHr1/Okqlkmcfvo9jp+M0z+vaibvGh5CSnqld1m/rN9HGwx03F0cuJKXQq3tnamvrKCwqvq5MEdv2SJdPDUCOy0KIps7euwdqlZKq0gLqqitRq5SYO7iTcXwPAK7dgug8di5qlYpukx8nP+kkAA7e3Wk3eDLluZePU4l71mDp4omZvSsl6Qk4ePdAXVdLdVnRNWVRKWsxtXGkU+j9JO1b999PEA3mUlHgktCBvXnqnvG6CSOEEEKIa3Lbt4jIK6/FyEBBYn4lqUVm1NSpMDFUoFKrATBU6KHQA0N9TZNOPT3N/8fSy/ghNgsnC0PtssZ1dSA6qRgbUwN6tbYkIa8SI30FCXlV2nmcLI2uOgB1SVUdM36KY0JXB3YlFDGuiwO/HskhLruCTWcLGOV77XdniMtqS/JQGBhRmZ2IWV4qqtoaFEYmqFUqAPT0DUGh0PwPaBr1QlnSMbJ2/ICh9eUmsw4B4yiOi8bA3AZLz15UZiagMDCiKitBO4+RtdNVB8WsqyghbvEMHAImUHRqFw7+4644n7g2TWnfApRdPIG5R1f0FLd9jfa2lZJdyOqokw1ShPg6PIby6hrMTYx4MDSQxWv2YKivTydPZ4b08Ca3qIy5i1fz/F1D/9FyQ/y73PwCjI2NiE9KJjm1HdU1tZiaKFAqlQAYGhii0NPD0EDzMePSuffQ8dN8uew3nB3ttcuaOnYUu/cfxM7amp5+vpxLuIiRkSHnE5O187g4OfDo/fW76fqrIyfP0LNLRxTy3r1pclwWQjR1VcV5KAyNKElPoMwjBWVtNQZGpqhVmnOQQt8QFHooLp2D/jxO5V44ytmIbzG1uXycajtgAlkn92FsaYO9T2+K0+JRGBhSnB6vncfM1pnOY+dcMYttm87oKQw4vf4rbFvLIIO6kJyRw6qt0Q1ShFjy+0YqKqsxNzNheuhgvvgtkuqaWlwcbLlr9MB607MnSYFcCCGEuF63fSFieAfbetO9W1tecb6nhmguMr07xovUwioCPK24N8BF+/tL40P08bj8/C6u5teVxcrEgG3zutd77E4/J+70k74jb4Zt9+H1pi29rzwgWOtxTwGawTKr8lKx6hCAy9B7tb+/1Fe1pXcf7WPmHl2uK4uBmRXd39h2Xc8RV9eU9i2ARZtuWLTp9t8ziiv6duMB6pRK3B2sGdDVi992HiMtr5iwQF9qapWs2HkUOyszTI0MMTEywMbClOE92/PM0nAmDehGRn4xE/t3BeBAXAqRB+IwNzZkcA9v9p5MxMLUmA6tHBncvR0A2YWlrNl7Urt+TxdbQvx9tdNDe3rzVUQMHVs7EZeaw/H4DPp2boNCT4/K6lp+3HKICUHX/3ciYPTQAfWmA3t1v+J8r8yfC2gGrL6YmkGQvx9zZ96h/f2l8SH6/uX53Tv7cL38unbCr2un636e+Cc5LgshmrrWvUfUm3bq2OeK8/W8SzNWQL9571OanYJLp774ht6v/f2l8SGcff21j9l7db2uLHp6egQ88NZ1PUdctnT1Fk1Xj84ODOrdhV8id5Oenc+Ywf5U19TyS8Ru7G0sMTE2wtTYCBsrc0YE9uCp979jSnB/0nPytd0oxZ48T8Seg5iZGDPUvxt7Dp/GwtwUH083hvhrziPZ+UWs2rJPu/427s6EDrx8nhse2J0lv23E16s1FmYmPDtrIrmFJSz6dtU/poUQQghx/Vrk7WWtbU1uemBq0bSZOLS+6UEyRdMk+7bp6unthlKlJr+kgsrqWpQqFa0crNl9XHP384CuXswb2w+lSsWTkwdxIlHTPU/Pdu5MHdSd1JzLXfGs2nOCNs62uNpbkZCRh1/7VtQpVRSWVlxzHm93B/73YBiZBSXU1ilxtLHgwdBA/th3ij0nNWP37DqewLYj5xtwK4iradPa7aYHphZNkxyXhRBNnaWzR4MMTC0alp+vFyqVivyiEiqrqlEpVbg727PzwAkABvXuwiN3haJUqXj63gkcP3cRgJ6+XtwxagApWXnaZf2+OYo2bs64OdoRn5pJr07tqKuro6Ck7JrztPdw48Nn7icjtwCAjJwCFn6zklfm3HHFaSGEEEJcn2ZbiGjIAaInf3+atKJqtp4r5PO96Ty5Np7CiloOJJdw34o4DqeWXvF5q47n8kVUOm9uvoharWZ3fJEMXN2AEpc912DLOv3eZKrz0ig6tYvU9R+RtOJVlNWV/5gvN2YN6ZGfkfDDM6iVdZTGH+TC0kcbLIfQ0MW+LTy+jcytSzm1cBxVeamyb29AbnE5Rgb6xGfkkZJTSHVdHWrUKFV/dpVnoNB016OvD1zurufwhTSWRsbibGuhXdakgd3IKymnulZJZ08X8kvKMTTQJz798hdOZ1tLHhrbT/vvr60hCkoqeH/lLv73205szE3p0sYFA30FS9ZH4+vhxMjePjw9dTBDe3gz3K/+oIjixj3y4jsNtqzgOx8kOS0DgPCtuwmdMe+K8x06fpqPv/mJJ15dRG5+ISfPnmfK7CcbLIfQkOOyEKKpi/7i6QZb1saXJlCWk0r2mRi2L5hJzrlDV17nkmc4vf4rkvatByD96M4GzdHc5RaUYGRoSHxKJsmZuVTX1qJWq1H+2R2ggYE+CoUCQ4NLnx01zzt8OoGvVm7C2c5Gu6wpwf3JKyqhuraOLt6e5BWVYmhgwIXkDO08zvY2PHxXqPbfX1tD5BeX8t73a1j07SpsLc0pLqtgwvwFtHK2Z1vM8X9MCyGEEOL63bZdM729JZn5g1qxP7kElVqNoUKP+LwqcstqeHGEJwCphVWsO5XPIwPceW5DIm+ObsM7W5PxtDWhTqVmTj83ACprlPx0OEe7bDszAyZ1d9ROt3MwpZWNMa1sjBnhY8vCbSmUVCnx97QiqaCKqzmcWsrCMC+WH8zmTHYFg7xtiDxb0EhbpPlJXvk2rcbMp+TcftRqFXr6hlRlxVNTnIvn5BcBqMpLJf/AOtxDHiFx2XO0uetNkle9g4mjJ2plHW4jNf25Kqsrydnzk3bZBhZ2OPadpJ02dWmHsUMr0jd+jteMhRSd2kXxmT3Y9RxZL5Nj4EQA4r9/ClVdDZbefciNlqa516sp7lvb7sNR1VZRkX4eE4fWmDi0ln17nUb2rt+ljn9HjyvO9/xdQwHNANUp2YX069yG2SEB2t9fGh8i4C/P7+p15bF5rsbOyoynpwyu99iC+0P+Md+0YX7XtdyW7sWFi3nxsQfZG3sYlUqFoYEB5xIukp2bz9vPa+40vZiawcoNm3lm3iweefEdPnjtGV5a9DFtPVpRp1Ty+APTAaiorOTbX9Zol21vZ8O0CaHa6Q5enni2ciPm8HHUajVtW1+5JWPv7p05GXeBzOxcDAz06erbod4YFOLayHFZCNHUHfzhDXrc8RRZp/ejVqk0YzmkXaCyMIfe97wCQGl2Ckl719Jt8mNEf/E0AbPf4dCPb2Hp7IlKVUeXcQ8BUFddwbnNy7XLNrGyo93gKdppa/d2WDi1xsKpNSWZF6+ayczWGbVapS2muvccQvL+iEZ49c3TqKD6n8MCul755pCXZk8FNANUJ2fk0L+nL3OmjNL+/tL4EIHdLn8W7dahzXVlsbe25NlZE+s9Fvvz+/86LYQQQojrc9u2iJjU3YFVx3PZfr6Q4e1tKalWYmGk4GRmuXYePT09/hyzGrVaTVx2BcWVSiyM9SmqrLuh9S47mEUnFzM87Uz+8buqWhWqP+/8FTfPoe8kcvevovDEdmy7DUdZWYLCxILy5Mt9wuuhx6WdrEZNRXocyopi9E0sqCsvuukMqtoq7QCdoPk7StuwGMfACegbm9308luqprhvAXL3r8EhcMJNL1tcOw9n2wYZmFrcGtMmhPLLmgg27ohi9NABFJeWYWFhztHTcdp59PQ0x0rQ/H/qXDyFxaVYWphTUFR8tUVf1ebd0VxMTefUuXhij5ygpqaWurr65/BZd4zn3jvGcy4+6eZeYAsmx2UhRFPXbvAUEnatJO3QVlr3HkFNeQmGphbkJ57QzqNpbXn5OFV48SzVZUUYmllSXVp00xnqauofp3rc+TRdxj1EXvxx6qqvvftIceM83ZwaZGBqIYQQQtx6t22LCF9nc76IyqCrqzkKhR5x2RW0dzSlVnm5EOBkYUhifiXrTuVRWFlHR2czXCwNqa5T0dHp8kVkUyN9Zvf977ttv4rOIDa5hL5trEkrqqaiRsmehCLOZFXQ2saYb2OzeDjIDSsTzWbt1dqSJVHp5JXXMr23DFh9vcxb+ZKx8QvMPbuip1BQkRaHqVt71Mpa7TyGNk5UZieSd2AddWWFmLl3xNDGBVVdNWbuHbXz6Rub4jpi9n+u067nSNI2fERdeRGtJzxP2vqPcBv9MAZmVgBcXPEqyqpy9E3MMffogoG5TYO/7pagKe5bgJJz+3EeOK1hX2wLMH/Jej56aGyDLGvMy9/x+WMTOZOcTVxqNvHp+bx170hScorYcugcJsaG3DfKn1d+2ER7Nwdc7a0Y3//yALhfrI9GDygur9K2vLhEpVLx0neb8HCyQaHQY3ZIQL3pOWF9tfMuWrEDa3MT9PT0mDumL28u30rnNs5MGtCyB83t0rE9H3z1Iz07d0ShUHDqXDwdvdtSW3u5MODq5MiFpGRWbthMQVExXXy8cXV2pLq6hs4dvLXzmZma8uj9d//nOl97UnP36rmEiwT4deOz735h5OD+tPfStH78Y+N2klLSiL+YwkuPz2ngV9xyyHFZCNHU2bXpxKk/PsPeqxt6CgWFyWexadUe1V+K06a2zhSnJ5C4dy3VJYXYtvHFzM4FZU0Vth6Xj1MGxmZ0Hvvf54yilHNkHNtFQdJpLJxaczb8G7pOfBQjc81x6tzmZVQW5aLQ18dAblK6KY8t+ppPnn+wQZY1+qE3+OrVeZxOSOFsYioXkjN457GZHDkbz8FT8RSWlPH6vLt44eNldPBww9XJjonD+v5jOb9u3MNXKzez8ztN15NfrtzEpqjDrP34JWrr6vh65WaUKhU7D57kj8Uv8voXv9DZ25Mpwf0b5HUIIYQQzc1tW4gA+HRSe+3Pzw3TdOExsZumS6V3x3gB8NEEzUWPcV0cAHjhz26broeJgYK0omrm9HPTdud0yeeTLzcfvS/ARVuEAJj8l+6dAHbHF9HZRT6gXo/2sz/V/uwxUdM/9aXukbxmvguA930fAeDgPw4Az0kvXPd6FEYmVOelYdNlMDZdBmsfdxl2X70LIm2nvVXveaXxBzFxanvd6xNNb9/+PZPs28te/WEzz94xmH2nL6JSqTE00OdCWi7ZRWW8PjMYgJTsQlZHnWT+pIHMX7KeRQ+E8PqPW2jjYkudUsXD4zRfyCqqa/hx8+V+lu2szLhjcA/ttLe7Ax5ONng42TCqjw9vLt9KcXkV3286SCdPZ6rr6tBX6OFia4lKraaqprZe1oSMfD6YO4Y3lm+huKwSawtT7e+KyqrQ04OHxvZj4ms/MGVg93rTlwoRxWWV1NQpeWhsP578UtPn89Ae3mQXXXk8oJbm+4/e1v78xtMPA3DXeE23V58teAmApe+/AcCUMZqudt5+7vr79Tc1MSY5LQPPVm71lj0pbASuTpfPrxNGD6v3vJNnz0vXTDdIjstCiKZu4PwvtD/3mq45/rQbPBmAfvM03eYMePwTALwGjAeg98yXr3s9+kamlOWkYuPhw6CnvtQ+7hv6gLYIAeAzcma956Uf3Yld2y6If3r50594/v7JRB05g0qt6d7x/MV0sguKePNhzY0JyRk5rNoazVP3jOexRV/zvydn8cpnP9PG3QmlUsWj08IAqKiq5vs/tmmXbW9jyZ2jL7ewbe/pioerIx6ujowO6sXrX/xCcVk54XsOsfjZB9gWc4wdsSdwsbfVfJ6srrli5jtHDyT6+OVWn3OnjOJMQgoAhgYGPHxXKH9sj+G+CcMBGBrQnez8ogbdbkIIIURzctt0zdQYgzx/sDNVu9x/W/4bo9vw/IZEvtmfyce704g8kw/A6uO59eZztjTit6M5Vx28epC3DbllteSUXvmDjrisIQfFvCR13QekbfiIjM1fkbr2fdQqJbn7VwPQ5s43MHZo9Y/1G9k4/2M5VXmppEd+BoCldx/cRs1t8KzN3a3cv3/ft5fWf6V9C5f3r+zby+4Y3J3fdh1ny6HzjOzdgZKKKixMjTmRcHnwP/T06nXHcyY5m6LySixNjSks++cgtNfiu00H6NLWhTYuduSVlDN5YDc6e7qw9fB5nr1jCA+P68/R+AwqrvDlUQ/NaIZ//Z2dlRm+Hs4sjYxFoa/4x3S95+vVX05L05CDTl/y1kdfapf7X8sfe88jeLZyY8XaSNZu2g7AL39o+tz+axFi2cr1xB45Ue+5XX078Mr8udp1ZuXkIf6dnHOFEE1dYwwAfXTFexz77QNOrVvC0V/eRaVUkrBrJQABD7yFhVPrf6zfzO6fx6nS7BROrNIUP9x7DqHj6HsbPGtzcOfogazYuIdN0UcY1d+P4rIKLMxNORZ3uVtFvXqfJ+F0QgpFpWVYmZtRUFJ2Q+v9Zs0WurRvQ1v3f+67Fx6YzKPTwjhyNoGKqmoqqqqve/kbow4ROqD3f88ohBBCiKbbIuJgSgm744txMDfkTj9Nt0YlVXWsOpZLRkkNo3ztyCmtITG/ChcrIwI9rfg6OoN2DqZM7OaA5Z8tEzadLSC16PIHigldHXCwMNROu1kZsf/i5T6rP9qVhq2pAWnF1bw0wuPPfkbB3caYB/7svunpdQmEdLLnQEopgZ5WbDlXQEJelbZ7pw2n89mXVEw7B1OcLY3YEleAqaE+A9tZk5BXyfpT+YzytePr/RnagbN7t7Zky7lCXK2MuNffpXE3bhNUcuEgxad3Y2jlgNOAOwGoqyghd/8qagoysOs5ipriHKqyEzGyccGqQyAZW77G1LUdDoETMTC1BKDgyCaq81O1y3UImIChlYN22mng3RhZO5F/KIKi07spvXAAx76TyN67grrSAgzMrXEeNJ3y1NNk7VpGVfZFPCY+V28wTjN3H8ounqDkwgEqM85TV1lKXWk+7iGPkPLHe5i5+2Dl0w8zt/YIDdm/t7fObVz45I8ourdzQ6FQcCY5mw6tHKlVXu4j2cXWgoSMfNZEnaSwtIJOns642FlSVVuHr8flrunMjI14aGy//1zn5+v2EX36IkFd2pKSU8QDIQF8Gb6fiqoaHh7fnx82HyS3qAwDfQVmxkZ8Fb6fOWF98XazZ8n6aEyMDLC2MOXprzbw/pwx2uWqUVNZXcvM4b2uOH1pOUYG+ixZH02HVg5XzNfcRB86xrY9+3FysOPeqeMBKC4p5ec1EaRlZjE2eAhZuXlcSEzBzcWRIH8/PvnmZ3zateHO8aOxsrQAYP3mnSSnXS5Q3TFuNE4OdtrpVm7O7Ik5rJ1e8MlS7GysSEnP5J3nH9eecz3cXXnkPk13PHOfe5Pxo4YRffAYQf5+RGzbzfnEZG23TqsjtrJr/0E6eLXB1cmB8K27MTMzZVhQAOcTk1kVvoUxwYP59NuftQNmB/p1I3zbblq5OjNnxtRG3bZNkRyThRBNXfbZWDKO7sLE2oH2IzTH+5ryEuJ3/k55XjqegSFUFGZTkp6Imb0LLp37cmrdl9i08sZr0GSMzDTHqeSYSMpyLh+nvAZOxNTmckG7Q/B0zGyduRi9gYxju8g+E0u7wVM4v/VnqkryMbawwWfkTAqSThO38QdKspLoNf3FegNg27b2IT/hONlnYihKPU9NeQlVJfl0m/w4R35aiK1nR1y69Mem9ZUHYm4punh7sHj5Onp0bItCoeB0Qgod27hTW6fUzuPiYEt8SiartkZTUFxK53YeuDrYUVVTQyevy4UhMxNjHr4r9D/X+ekv4ew7eoYBfp1JycwlbGBvFn27isKSMl576C6++2MbOQVFGOjrY2ZizPz3vuGjZx/QPn97zHHOJKTy5cpNzJ0yij+2x3AmIZVfInczLWQQR88m0t3HC4Xitrm/UwghhNCpJluIWH8qn9dGtsFA//LdqJW1KpRqTfFgb0Ix47vak1JYTX55LQ7mhrhZG1NcVUeN8toHjL7Tz4n3d6Si+vPOi5yyGuYPbsX7O1IpqKjD3tzwX59fWau5EGdjasDBP1tCjPCxpX9ba57fkIiBQo+OzmYYKPRIzK+inYMpY7vYk1lSoxk420WfiwVVtLEzwcZEn7JqJVW1KkwMW9aHmfyD62lzx2vo6V/+k1TVVIJKiZGdG8Vn92LvP57q3BRqS/MxtHbA2N6Nuopi1HU32sJE87elVqlQVVdgaOVAcdw+nAdNx9SlHS6DZ5K88h3Kko5pB+OsyrmIiUs7LNp0w6q9PxmblmDXcxSo1VTlpWLRpju1pfmoqsv/Y90ti+zf299X8ydrf375bk3z86mDugNox4f4/DFNFy4Tg7oC8NqM4Otej6mRASk5RTw8rr+2OycADycbBndvp52+d2Sfes+71K3S34scT08ZXG965oje/zp9aTnP3Vl/fInjiRn4ta/fsqY5WRW+hfdefhIDg8vv0YqqKpRKJa1cXdix7wB3jB1JUko6eQVFODvY09rdhcKSEqr/1j3Wv7ln6jje/PBLVH8O9JmVk8eLj83mzQ+XkFdQhKO97b8+v7KyCgBbayv2HzoGQMiwgQzu14dHX1qAgYE+nX28MTDQ50JSCh28PJkcFkx6Vg6FxaV0szAnITkVL8/W2FpbUVJaTlVVNSYmxte5xW5vckwWQjR1SXvX4X//myj+cpyqq65ErVJi7uBOxvE9eA2cQGlWMlUl+ZjYOGLh6E51WTGq2mrA8vpXqnf5OFVXVYGptSOZJ6PwGTkTK/d2dBx9Lwd/fJPc80epLivCrm0XSjKTsHL3xr5dd5w7BXLyjy/wDAwB1JRmp+DQvidVxbnUVslxCuCbNy531fjaXE0h/I5RAwC040N8+eo8ACaP0Hyme+Ph6x8nyNTYiJTMXB6dFqbtzgnAw9WR4YE9tNOXulS65Ln7JtWbHhbYnWGB3bXTE4YFMmFYoHa6p68XPX29tNPHzyXRq5M3QgghhLiyJluIGNvFnsW703C0MOSOnpq7aVOLqqmp01ykV6nV5JTVYmKo4FxOBVmlNZgYKMgtq6HwLwWEUb52/7Ya9IBZAS7cuewMAE4WRvwQm0VVnapeESK9qJpv9mdSXqNkaHsb7ePnciswUGjyKFWaYsbWc4UcSimlv5c1LpZGRCcVY2NqQK/WlhgZ6PHLkRwmd3esN3B2ZkkNpkb6xOdWUlGrbHGFCPs+Y0nbsBhDa0ecgu4AoDovFVVtDQojE9QqFbXFOSiMTKhIP0dNYRYKQxNqinOpKyvE0FLTH7id36h/XU/Onp9RGJmhrCyl1dj5FB7dhKqmkuq8VMw9u6JWaga7q8xMIGvXMtTKWiza9qDw5A7tYJyGFnZUZl6gOG4fdj1HoawqQ9/YDCMbF0rPx6Knp6AyOwmLtj0adZvdTmT/Nk8NOUj1JVZmJny0eg8fPTT2P5c/+c1lDO/ZnrKqanxaOTKmb2d+23Ws3pgTLnaW/LL9CO1bOdLHp/UVl7NoxQ5mjeqDs+3VL1r8tSjSHE0OC2bBJ0txcXRg5hTNNk9OzaC6phZTEwVKpZLMnDzMTE04fS6B9OwcTIyNyM7No6DwcgFh7Mgh/7oePfSYd88dhEzXDEDt4uTAl8t+o6q6ul4RIiU9k8+++4WyigpGDbm87c9cSMTAwEBzzv2zRU7k9j3EHDnO4H59cHNxYvf+g9hZW9PTzxdjI0O+/20t0yaE1BswOyMrB3MzU+LikyivrGxxhQg5Jgshmrq2A8Zx/LcPMLV1wnvYXQCU5aSgrK3GwMgUtUpJRUEOBsamFKXEUZGfib6hMZWFOVSVFmJirWmdpSkKXN35LT9hYGJGbXkJ3e94mpSYSOqqKyjLScG+XTdUfx6nitPiidv4A+q6Whw79CTt8DbtANgmVnYUpZ0n80QUngGjqa0oxcDEHHN7F7LPxICegpKMRBzb92zcjaZjVVVV7Ny5kx9++OGq8zTkgNSXvLP0d7Lzi/jk+Qe1y393/r1XnHfCEwsYHtiD8soqfNq4M25IAL9u3KMdX8LFQfNZ5KfwXXTwdMO/65Vbsbyz9HcemBiMs71Nvcf/WvT4u23btuHt7Y2VldVV5xFCCCGaOz31pU4YdezIkSP06tWLTXO60tXNQtdxmoSTGWWM+uokhw8fxs/PT9dxGtylfd711U1YeHbVdZxGU5Z8kpNvjmq2+/FKZN82vkvbeNcHD9G9ndstWWfM2WR2HovHwdqCGcP9eOHbjbw+M5jfdh4jLa+YsEBfsgtLic/Ix9XOin6d2/DF+n20d3dkyqBuWJmZABARc4aUnCLtcicP7Iajjea4v2jFDgwMFPT19WTV3pN89NBY/vfbTmwszUjNKeKNe4K13ff8tVDx2Gdr+eSR8cxfsp4nJw9k44E44tPzmDe2H9GnL3I6ORs7SzPauzvgYmdJ5IE4zI0NGdzDmy/D99OnQ2tCAnxZsj5aO8C2f0cPNh6Iw83eigdCAm7JNgY4npDB4KeWNOrf1aW/n/3hP9Ozi2+jrON2c/TUWfqG3d1sj9VyXBZCNHWXjlNjPtyGQ7tuuo7TaPISTrDhyeHN4jiVmppKZGQk4eHhbN++ncrKSlxcXMjKyiLqx0VUVtewPfYEjrZW3DN2KM9+9ANvPTKdXyJ3k56dz5jB/mTlFRKfkombox39e/ry6S/hdGjjzh0jg7CyMANgw+4DpGRcHp9xysggnOysAU1RwNDAgL7dO7JySxSfPP8gi75dha2VBalZebz1yN3az45/LYQ8/M6XfP7SXB5b9DXP3DuRiL2HuJCcwSN3hbLv6FlOxSdjb2NJew83XB3tiNhzEDMTY4b6d+OL3yLp06UDYwb14bMVEdrBtAO6diBy7yHcnOx5cPJIAI7FJRJ0z/MAGBgYMGDAAEJDQwkLC6NDhw7abEIIIURL0LJuuxdCCHHD/og6xTNTBzM7JAATI02LscrqWpQqFa0crNl9PIHObVww0FeQX1KOk405rRxsKCqrpKZW+R9Lv2z6sF78vvs4dX/2GZxVWMbskABMjQ3IL6n4z+dXVmu6CrK1NCXmbAoAo/r48NSUQew6kcCqPSdo42yLq70VCRl5tHdzYEJQF/JLyusNsN3WxQ4bC1NKK6upuo7uh4QQQgghmiOlUsm+fft48cUX6d69Ox4eHjz88MOUlJTw+uuvc+rUKcLDw7Xzr94WzfP3TWLOlFGYGBsBUFlVjUqpwt3Znp0HTtDF2xMDfQV5RSU42VnT2sWBotIyqmvrrjnXzDFD+G3TnsufHfOLtOvMKyr9z+dfGqTa1sqCmOPnABgd1Itn7p3IzoMn+X1zFG3cnHFztCM+NZP2nm5MHtGPvKKSeoNpt23lgo2lBaXllVRV1+/KcMOGDSxevBgTExNeeuklOnbsSPv27Xn88cfZsmUL1dXXP1C2EEIIcbtpsl0zCSGEaFomBHXhf7/vwsnGkruHaboXSMkppLquDlMjQ5QqNVkFpZgaGXI2JYfM/FKMjQzILiqloLQCB2tzAEIDO/3revT0YHZoIBNe+wHQDIS9NDKWyuo67TIAUnOL+HLDfsqqqhnR6/JAtXEpORga6KNSqbVjEWw6eI7YuBQGdvXC1d6KvScTsbUwo7uXG0aGBizfepipg3vUG2A7M78EM2NDzqflUlFVqy2+CCGEEEK0FAUFBWzevJmIiAg2btxIQUEB9vb2jB49mhdffJHg4GBsbS93r3jkyBHtz5OG92PRd6txtrdhRthgAJIzc6murcVEYYRSpSIrrxBTE2POJKaSkVuAsZEh2flFFBSX4mir6cZozCD/f82op6fH3CmjCXv0LQBc7G34auUmqqprtMsASM3K4/NfIymvrCK43+Wuss4mpmKor49KpUL552fHjVGHiT15nkG9u+DmaMeew6extbKgR0cvjAwN+WHddu4aPbDeYNqZuQWYmRpz7mI65VXV2uILgJubG2FhYTz88MNUVFSwY8cOIiIiWLNmDZ988gnm5uYMHz6csLAwQkJCcHO7NS2ehRBCiFupyRUiLuRV6jpCk9FStkVl5gVdR2hUzf31/Zvm/tqb++v7u0BfTwJ9PbXTl7pF8u/oUW++fp3baH+e7Xp9XRo9f5dmkGhnW0su/Khpxv7MHVced2DVqzP/8di1jlkR8JfMXb1ctT//fYDtv/6uOYqLT9J1hCajpWyL5n7cau6vT4iWoDj1vK4jNKqm/vrUajWnTp0iIiKCiIgIoqOjUalU9OjRg4ceeojQ0FD8/f3R19f/z2X17d6Rvt07aqcvdYsU8LexF/r3vNxN5Jwp/z7+0N+9NHsqAM72Nlzc9A0Az98/+Yrz/rH4xX88dq1jVgR289H+3K1DG+3Pfx9M+6+/uxozMzPCwsIICwvjiy++4OTJk9rtPWfOHFQqFT179iQ0NJTQ0FD69OlzTdtbCCGEaOqaTCHCwcEBM1MTHl0dr+soTYqZqQkODg66jtEoHBwcMDE1I37po7qO0uhMTM2a7X68Etm3QjRtDg4OmJmZMeuJl3UdpUkxM2u+72c5LgshmjoHBwdMzczY89E8XUdpdKZN7HxTUVHBzp07CQ8PJzIykpSUFMzMzBg+fDhLliwhJCSEVq1a6Tpms6Snp0e3bt3o1q0bL7zwAvn5+WzevJnw8HA+//xz3n77bRwcHBg9ejShoaGMHDkSGxsbXccWQgghbkiTKUR4eHhwNu4ceXl5uo7SpDg4OODh4fHfM96GPDw8OBd3tkXs8+a8H69E9q0QTZuHhwdnz7aM9+j1aM7vZzkuCyGaOg8PD+JayLmpKRynkpOTtXfh79ixg6qqKry8vBg3bhyhoaEMGjQIExMTnWZsiezt7Zk2bRrTpk2jrq6OmJgY7X5avnw5+vr6BAUFaVtL+Pr6yoDXQgghbhtNphABmg+fuv5AJm4t2efNl+zbW+NcWq6uI4gGdqv2qbxHWx7Z50KIpk6OU42nrq6O/fv3Ex4eTkREBKdPn8bAwICgoCDeeustwsLC8PHxabCL2ucupjfIcm53N7MdLu2foKAgFi5cSEpKCpGRkYSHh/Paa6/x7LPP0qZNG21RYsiQIVI8EkII0aTpqdVqta5DCCGEuD4pKSn4+nakoqJljCXT0piZmXL2bJxcjBFCCCHEDcvLy2PTpk1ERESwefNmCgsLcXR0JCQkhNDQUIKDg7G2tm7Qdcpn1H9qjM91lZWV7Ny5U9taIjk5GTMzM4YNG6YtTEh3WkIIIZoaKUQIIcRtKiUl5bbovuDSXVuPPvoo99577y1dd0VFBffffz/FxcUsW7asSfXH/G+aQpcNQgghhLi9qNVqTpw4QUREBOHh4cTGxqJSqfDz86s38LFCoWjUHLfLZ9RbpbE/16nVas6cOaNt7RIdHY1SqaRbt26EhoYSFhZGQECADHgthBBC56QQIYQQotHs2bOH4cOHM2PGDL755hud9GGblpZGQEAA7u7u7Nq1CzMzs1ueQQghhBCiMZSXl7N9+3YiIiKIjIwkLS0NCwsLRowYQWhoKKNHj8bNzU3XMcUtVFhYyObNm4mIiGDjxo3k5+djb2/PqFGjtANe29nZ6TqmEEKIFkgKEUIIIRrFhQsXCAwMpHv37mzatAkjIyOdZTly5AgDBgxg9OjR/P77741+J6AQQgghRGNJTEzUdsmza9cuqqur8fb2JiwsjNDQUAYMGICxsbGuY4omQKlUcuDAAe3fy7Fjx1AoFPTr10/bSqZLly4y4LUQQohbQgoRQgghGlxBQQGBgYEoFAr279+Pra2triOxbt06JkyYwHPPPcfChQt1HUcIIYQQ4prU1tayb98+7cXks2fPYmhoyMCBA7UXkzt06KDrmOI2kJaWRmRkJBEREWzbto2Kigo8PDzqDXgtrYeFEEI0FilECCGEaFA1NTUEBwdz6tQpYmJi8Pb21nUkrQ8//JCnnnqKb7/9lvvuu0/XcYQQQgghrignJ4eNGzcSERHBli1bKC4uxtnZmZCQEMLCwhg+fDhWVla6jiluY1VVVezevVs7pkhSUhImJiYMHTpUW5jw9PTUdUwhhBDNiBQihBBCNBi1Ws2sWbNYsWIF27ZtY8CAAbqOVI9areahhx7i22+/ZcuWLQwZMkTXkYQQQgghUKvVHD16VNvq4cCBA6jVavr06aO9KOzn5yfdS4pGoVariYuL0/79RUVFUVdXR5cuXbR/f3379sXAwEDXUYUQQtzGpBAhhBCiwSxcuJAXX3yR5cuXM336dF3HuaLa2lpCQ0M5ePAgMTEx+Pj46DqSEEIIIVqgsrIytm3bRnh4OJGRkWRmZmJpaUlwcLB2oGkXFxddxxQtUHFxMVu2bCE8PJyNGzeSm5uLra0tI0eOJDQ0lFGjRuHg4KDrmEIIIW4zUogQQgjRIFauXMnUqVN59dVXeeONN3Qd518VFRXRv39/qquriYmJkS9SQgghhLgl4uPjtXed7969m5qaGnx8fLR3nQcFBWFkZKTrmEJoqVQqDh48qP27PXLkCAqFgsDAQO3fbbdu3WTAayGEEP9JChFCCCFuWmxsLIMHD2b8+PH88ssvt8UXkaSkJAICAvDx8WHbtm0YGxvrOpIQQgghmpmamhr27t2rvYh7/vx5jIyMGDRokPYiblMaT0uI/5KRkcHGjRsJDw9n69atlJeX06pVK0JCQggNDWXYsGGYm5vrOqYQQogmSAoRQgghbsrFixcJCAigXbt27NixAxMTE11Humb79+9nyJAhTJkyhWXLlt0WBRQhhBBCNG1ZWVn1BpouLS3F1dVVW3gYPnw4FhYWuo4pxE2rrq5mz5492kJbfHw8xsbGDB48mLCwMEJDQ2nbtq2uYwohhGgipBAhhBDihhUXF9O/f38qKiqIjY3F0dFR15Gu22+//cadd97Jm2++ySuvvKLrOEIIIYS4zahUKg4fPqy9GHvo0CH09PTw9/fXFh969uwpNzyIZu/8+fOEh4cTERHBnj17qKurw9fXV/s+6N+/P4aGhrqOKYQQQkekECGEEOKG1NXVERYWRkxMDPv378fX11fXkW7Y22+/zSuvvMIvv/zCXXfdpes4QgghhGjiSkpK2Lp1KxEREURGRpKdnY21tXW9wXydnJx0HVMInbnaeyQ4OJiwsDBGjx59W97EJIQQ4sZJIUIIIcR1U6vVPPzwwyxdupRNmzYxbNgwXUe6KWq1mnvuuYfff/+dHTt20K9fP11HEkIIIUQT89e7vffu3Uttba3c7S3ENVCpVBw5ckT7/pFWQ0II0TJJIUIIIcR1+/jjj3niiSf4+uuvmT17tq7jNIjq6mpGjBhBXFwcMTExeHl56TqSEEIIIXToav3fDxkyRHvxVPq/F+L6XWkcFTc3N+2A1zKOihBCNE9SiBBCCHFdNmzYwLhx43j66ad57733dB2nQeXn5xMYGIihoSHR0dHY2NjoOpIQQgghbqGMjAwiIyOJiIhg27ZtlJWV4e7uri08DBs2DHNzc13HFKLZqKmpYe/evdqC3/nz5zEyMmLQoEHa9523t7euYwohhGgAUogQQghxzY4dO0ZQUBAjRoxg9erVKBQKXUdqcOfPnycwMJBevXoRGRkpXSwIIYQQzZhKpeLgwYPai6BHjhxBoVAQGBiovQjarVs36TJGiFskPj5e+37cvXs3NTU1+Pj4aN+PQUFBGBkZ6TqmEEKIGyCFCCGEENckIyMDf39/XFxc2L17d7O+G3D37t2MGDGCe++9l6+++kouPgghhBDNSHFxMVu2bCE8PJyNGzeSm5uLjY0No0aN0g407eDgoOuYQrR4ZWVlbNu2jfDwcCIjI8nMzMTS0pLg4GBCQ0MJCQnB2dlZ1zGFEEJcIylECCGE+E/l5eUMHDiQnJwcYmNjcXNz03WkRvfDDz8wa9Ys3n//fZ566ildxxFCCCHEDVKr1cTFxWnvso6KiqKuro4uXbpo77Lu27cvBgYGuo4qhLgKtVrN0aNHte/jAwcOoFar6dOnj/Z97Ofn1yxbbAshRHMhhQghhBD/SqlUMmnSJLZv305UVBTdu3fXdaRb5qWXXmLhwoWsWbOG8ePH6zqOEEIIIa5RVVUVu3fvJjw8nIiICJKSkjAxMWHo0KHai5aenp66jimEuEE5OTls2rSJ8PBwNm/eTElJCS4uLowePZrQ0FBGjBiBlZWVrmMKIYT4CylECCGE+FfPPPMMH374IevXryc0NFTXcW4plUrFnXfeSUREBHv27KFXr166jiSEEEKIq0hLS6s30HRFRQUeHh7awsOQIUMwMzPTdUwhRAOrra1l37592tYSZ8+exdDQkIEDB2rf/x06dNB1TCGEaPGkECGEEOKqvv76a+bMmcPHH3/MY489pus4OlFZWcmQIUNISUkhNjaW1q1b6zqSEEIIIdC02oyNjdVefDx+/DgKhYJ+/fppLz526dJFxnoSooVJTEwkMjKS8PBwdu3aRXV1Nd7e3trjwsCBAzE2NtZ1TCGEaHGkECGEEOKKtm3bxqhRo5g7dy6ffvppi/4Sn52dTUBAADY2NuzduxdLS0tdRxJCCCFapMLCQjZv3kxERAQbN24kPz8fOzs7bXcsI0eOxM7OTtcxhRBNRHl5Odu3b9cWLNPT07GwsGDEiBHaAa9dXV11HVMIIVoEKUQIIYT4hzNnztCvXz/69u3Lhg0bZPBG4NSpU/Tr14+BAweybt069PX1dR1JCCGEaPbUajVnzpzRjvUQHR2NUqmkW7duhIaGEhYWRkBAgJyXhRD/Sa1Wc+LECSIiIggPDycmJga1Wo2fn5+2tUSfPn1kwGshhGgkUogQQghRT05ODoGBgVhYWBAVFSWDvP3F5s2bCQ0N5ZFHHmHx4sW6jiOEEEI0S5WVlezcuVN7B3NycjKmpqYMHz5cewezdJUohLhZeXl5bNq0iYiICDZt2kRRURFOTk7aFlbBwcFYW1vrOqYQQjQbUogQQgihVVVVxdChQ0lMTOTAgQN4eHjoOlKTs2TJEubNm8dnn33Gww8/rOs4QgghRLOQkpKiLTzs2LGDyspK2rRpo231MHjwYExMTHQdUwjRTNXV1bF//35ta4nTp09jYGBAUFCQtrVEx44dW3R3tUIIcbOkECGEEALQNFWeNm0a69atY/fu3fTp00fXkZqs+fPn88knnxAREcGoUaN0HUcIIYS47dTV1RETE6MtPpw8eRJ9ff16F/18fX3lop8QQieSk5PrFUerqqrw8vLSHp8GDRokxVEhhLhOUogQQggBwGuvvcabb77JqlWrmDRpkq7jNGlKpZLx48eze/du9u3bR9euXXUdSQghhGjyCgoK2LRpE+Hh4WzatInCwkIcHBwYPXo0YWFhBAcHY2Njo+uYQghRT0VFRb3u4lJSUjAzM9N2FxcaGoq7u7uuYwohRJMnhQghhBD89NNPzJgxg0WLFvHcc8/pOs5toaysjAEDBlBQUEBsbCwuLi66jiSEEEI0KWq1mpMnT2ov3u3fvx+VSkXPnj3rDQwrA00LIW4XarWaU6dOaY9r0dHRqFQqevTooT2u+fv7y3FNCCGuQAoRQgjRQqnVambPno2/vz+PPvoo06dP55tvvpEuEK5DWloa/v7+tG7dmp07d2JmZqbrSEIIIYROVVRUsGPHDsLDw4mMjCQ1NRVzc3NGjBihHWjazc1N1zGFEKJBFBQUsHnzZiIiIti4cSMFBQU4ODgwatQoQkNDGTlyJLa2trqOKYQQTYIUIoQQooVKSkrCy8sLS0tLunXrxrZt26Sf0xtw+PBhBg4cSEhICL/99hsKhULXkYQQQohb6uLFi9q7g3fu3ElVVRXt2rWr15e6sbGxrmMKIUSjUiqV9ca+OXHiBPr6+vTv3197POzUqZPc+CWEaLGkECGEEC3U559/ziOPPIKRkRE1NTUcOHBABqi+QWvXrmXixIk8//zzLFiwQNdxhBBCiEZVV1dHdHQ0ERERhIeHc+bMGQwMDBgwYABhYWGEhobSoUMHudgmhGjRUlNTiYyMJCIigm3btlFZWYmnpyehoaGEhYUxePBgTE1NdR1TCCFuGSlECCFECzVgwACioqIIDAzk2WefZfz48XLB4CZ88MEHPP3007z++uvs2LGDLVu2yN2fQgghmo28vDw2btxIREQEmzdvpqioCCcnJ0JCQggNDWXEiBFYW1vrOqYQQjRJlZWV7Nq1S9ta4uLFi5iamjJs2DBta4nWrVvrOqYQQjQqKUQIIUQLlZycTFZWFgEBAbqO0iwolUqmTJnC+vXrUSqV7NmzhwEDBug6lhBCCHFD1Go1x48f1140i4mJQa1W07t3b+1Fs169ekmXhEIIcZ3UajVnz57VHl+joqJQKpV07dpV26osMDBQBrwWQjQ7UogQQgghGsDFixfx8vLC0NCQmpoaHn/8cRYvXqzrWEIIIcQ1Ky8vZ9u2bURERBAZGUl6ejoWFhYEBwcTGhrK6NGjcXV11XVMIYRoVoqKiuoNeJ2Xl4ednZ12wOtRo0ZhZ2en65hCCHHTpBAhhBB/kZKSQl5enq5jNDsODg54eHjoOkajO3HiBB9++CHLli3D19eX06dP6zqSEELctuSc/E+NcT5NTEzUjvWwa9cuampq6NChg7bVw4ABAzAyMmrQdQohhLgypVLJwYMHta0ljh49ikKhoG/fvtrjcteuXRu8S1055/5TS/kOK8StJIUIIYT4U0pKCr6+HamoqNR1lGbHzMyUs2fjWswHufz8fBQKBba2trqOIoQQtyU5J19ZQ5xPa2triYqK0l7kiouLw9DQkEGDBmkvcrVv374BUwshhLhR6enp9Qa8Li8vp3Xr1trj9dChQzEzM7updWjOub5UVFQ0UOrmwczMjLNnz7aY77BC3AoGug4ghBBNRV5eHhUVlXz1xCR8WjnoOk6zcS4tjzmLV5OXl9diPsTZ29vrOoIQQtzWLp2Tl744iw4e0hUQwPmUTGYv+P6Gzqc5OTls3LiR8PBwtmzZQklJCa6uroSEhLBgwQKGDx+OpaVlIyUXQghxo9zd3Zk9ezazZ8+murqa3bt3awvJX375JSYmJgwZMkRbmGjTps11r0Nzzq3gxyWL6djeu+FfxG0o7kI89zz0RIv6DivErSCFCCGE+BufVg50b+em6xiiiWgpzZSl6bEQoinq4OFKjw5ybLpeKpWKo0ePai9WHTx4EIA+ffrw1FNPERYWRo8ePWSgaSGEuI0YGxsTHBxMcHAwixcv5vz589qu9Z544gkeeeQROnfurC1K9OvXDwODa7/s17G9N37duzTiKxBCtHRSiBBCiCv4ZcdRTl3MwtrcBBMjQyb078zqvaeYP2nANT+/vbsDP207gk9rR04mZfH+nDDMTW5tH8t1SiUG+vr/Os8vO45yNiUHN3sr5oYF8u5vuzAy1MfR2pwZw3tp5/t99wnS84q5mFXAB3PDMNDX5+ftR9lxLJ5vn5rCk19uoL27A652Vozv37mxX9otkZKSgk9HX6oqm38zZRNTM87FSdNjIUTT9/OmaDp4uNCnk9c1P2fvsXNkF5RgZmxEUI8OWJmb/udz1Go1KpUaff2rX6y/mJlH5L7jJGflYW9twdThAfWmn50RCsDpxHS2xJ4iPaeAKcP88XCxZ+3uw+QUljKkly8De/pwISWLue/+yC9vzcXZzvqaX1t4eDizZ89my5YtxMfHEx4eTmRkJFlZWVhZWTFy5EjmzZvH6NGjcXJyuublCiGEaLr09PTw8fHBx8eHJ598kuLiYrZu3UpERAQ//PAD7733HjY2NowcOVLbhVO/fv149tlnefjhhxskw48rVnLi9FlsrK0wNTFh8rhQhoyZysl928jNLyBgeBg5F44z7+kX+eL9BVdcRl1d3X8WS6L2H2D/wcPEJyXzzKNzSbyYTPSBw5SWlfH0I3NxddGc287FJ7Bx205S0zJ4YOY0zExN+P7n37G2suSOiWNxc3FukNcthLhxUogQQoh/UVBaiZ+3nXZ678kkos9cpKK6lmlDenLqYhbpecVkFZYyf+IA1kSdAiD2XCrt3R1QKBTMG9uPxWv2kpxdyFs/b+euIT0oKK2gpLyKvJIKnpw0gLd/3o6vpxNBndsSceAsFqbGdHB3ICO/hPbuDng42fD95kMEdWnD77tPMLZvJ05dzMLIQJ/sojJenjYMQwNNwaG8qoadxxJIyMxHX6HHvDF9iTp1kdPJ2drXMbJ3B7xcNd0HWZoaY25iRHVtHUqVCjsrM6qqa6msrq23LaYO6gbAo5+tpbpWydYj8bRzs+fQ+TQAXGwtUanUVNXUf97tLC8vj6rKCrxnf4qpa/PtL7sy8wLxSx+VpsdCiNvKwh82YGdlwYXULO4fO4jI/SewNDWmvYcLGbmFdPBwwcPFnu/W7yGoRwcAjl9IoZdvGx7533LGDujJtoOn+fTpGdpzaE1tHXuOneN0Qjpq1MwKG0hCeg4xJ+O16+3Xrb22lUYbVwfmTR7GS0tWcW/oAJzsrOpNX9LZy53OXu5siTlJYkYuAV3a0amtOwfORGFiZEh+cRmbYk4yvE+n69oGH330EU8//TT29vb4+flRV1dHx44dufvuuwkNDSUoKAhDQ8Ob3dRCCCGaOGtrayZPnszkyZNRqVQcPnyY8PBwIiIimDlzJnp6eri4uPDII49w9uxZPv300wYb8Dq/oIg+ft0BCB05jF9Wr6WgoIiQ4GFXnL+8vIKtu/YQn3gRfX19Hp97P7v3xXDi9FntPKHBw/D2agNAUF9/gvr6s+S75WRmZRO5dSdvvPAk+2IOsXJdOI/NuQ8AH+92nIm7QHTMIQwNDPjy++U4OzmirFNibHRrbwgUQlyZFCKEEOIqJvTvQh+f1jz55Qb6dtJccNgQc4ZF948mNbeYddGnSc4p4oM5Yew9mcS+08mcT8/jgzlhGBho7p5UqVR8sT4atRrMTYzo3aEVY/t2YtqCXwgL9EUNJGcX4tfendzicsqravDzdudMcjaFZZXooYdaDWr15VwDurZluF97Pl27jzsGd6ekopqcojLcHTR3T77zy3bUarh7WE+6tHH5z9c5pm8nxvTtxPr9Z9h5LJEHQwIA+GzdPs6l5uLT2hHQ3Bn6wao9TBnYDXMTI/acSMTDyYYzKdnEpebw7B2DAXjum0jG9uuEmXHz+bBn6toeC8+uuo4hhBDib8YN8iMlK59jF1Lw8/HkTGI6haXl6On98/z5V7ZW5kwe1ofk7Hyy8otp7ay56eDzVduJT8vm3tAgevu2vaaLNEVlFdTU1uFkZ3XF6UuiT1zgcNxFnr8nDIBBfh3p3sGDZRFRnE/JQq1Wc/BsEq2d7Zk+ut9/rjc7O5snn3wSgOrqakaNGsXHH3+Ml9e1txQRQgjR/CgUCvr06UOfPn144403yMzM5JVXXmHdunUAfP755wwZMoRJkybd9LqmjA8jsLcfDz/zEv0DeuPh7sbF5FQszM0xMzW54nNeXfg+arWae6dNpVtn32taz5oNG1GpVAzoF4CbqwvfLFtBUXEJ7m71v+9OCBuFVxsPjp08TU1NLQP6BmBpYc6y31Yz/6EHbvr1CiFujhQihBDiKv7Yd4qYsyl0cL88cPWYwE78b+Xuei0iPvkjStsiIqe4jN93n+BAXCrd2rpqW0QApOQUovjzgkZogC+lFdWYmxjham/F/jPJKPT0SMjMR6Gnh6GBPvHpeYQG+LJs62G83C4PfnxpGSN7d6C8qgZ7KzMcrM21v19w32hq65TsPZXEx39E8cjYfgzs5sXAble+MLHtyAVOJmWRnF3IS9OGsibqFElZBaTnFePpbMPybYeZNKArbyzfRnllDeYmRnTzcmXh/aMBOJ+WR8fWTvyw5RC5RWUYKBTNqghxM1LXfYDz4BkYWTduVxi50auoKc6htiQPz6mvaC+cZWz5Gj09PeoqSmg97qlGzSCEELqgp6f5p1KpyC8uw8jQgPjUbMKCevBjRBTt3K98/L1UX9ADVGqV9vH5d41EpVIRezqRT3/fyvTR/fHz8cTPx/OqGZZH7mNGSP8rTidl5HI+JQtbS3Ne+GIldwwPIPZ0AkaGhuw+EkdeUSlDe3di2J8tIcorqxkRcG3dGzo7O7N8+XIuXrzIuXPnsLW1lSKEEEKIf3B1dcXHx4chQ4bQuXNnHB0dGTduXIMse+XacKJjD+Hj3U772KMP3oeJiTEvvf3uFZ/zwduvUltby66o/by/Yzfz581myIB+DBlw5SL86vWRfPHtj4wdHczJM3EYGBigp6eHgYE+0yaPJ+bQEfT19SkpKeXoiVMkp6bzwMy76ODtxc8r/8BAX587Jo5tkNcrhLg5emr11e4TEkKIluXIkSP06tWLXe/PkcGqG9DxhAwGP/0Vhw8fxs/PT9dxrsulv4mur266YouI0vhDFBzbgr6xKdadBlJ0ahcGFrZUZiXgMngmaeEfY+nlh73/WM59/gAuQ+8FoKYom9qiLNxDHiVlzSIsvftQlZuMY7/JZG79Bq/pC0hZswjX4DkYWtgCkBu9krryIu26nQfPQGGoucsocfkLeM1YSPau5Vi088O8ded6jyevXoj76HkYmF25z/Gy5JOcfHPUbbmPhBDN06Xj7+4vX5TBqv907HwKg+YukGO1EEKIBnXpnBu7LVwGq/7TkeOnCBgeJudcIRqYtIgQQgghblBe7FrMWnVET2FAVXYiAPa9QqnOS6U8+QSmLu2w9x+LkbUTZu4dcQycqC0OFMfto+TcftQqFY79plCZlUDRqV1YdQgg/8hG0FNoixA3q2F6fxVCCCGEEEIIIYS4MVKIEEKIW2zRrzuZNbI3zraWjbqeX3cdJ7uwlLzict68J1jbXc8rP2zGxdaSuNQcPn1kPCt2HCO7qJQ6pYonJw3gpe834+Fkg0JPjzlhgY2a8XbnEDCO4rhoDMxtsPTsRVVuirafELVKhamrNzl7fsEp6E7t9rfqEEj6piXaFhFFp3eTvWsZlVmJuAydiYmTFyffDsXn0e/qrcux35Sr5rBs10uzzJI8nAZNJ3Pbt7gOvx9TFy8yty5Fz9Dkqq0hhBCiOVv4wwbuGzsQZ7vGPQb+uiWGrIJicgtLeXvuJO0x/61v1+Foa0lRaQXP3xPG5yu3oaenR3FZBc/NDOXFL1bh4WKPQqHH3IlDGzWjEEII0ZjefO8jHrznblycG7db2p9+X0NWdg45efm8+/qL2nPuqwvex9HBnqLiYl555ol/TM+Y+zi9e3TDt4M3wUMHNWpGIcSVSSFCCCEa2IG4VCIPxGFuYsjg7u3YfjQeO0tTLqTnc9+oPlxIz+OPqFNMCOrCjHd/44HR/gBkFZRox5p46+ftBHT04GJ2AXcO7sGSDft5f04Yb/20jUfG9cPW0gyAX3ceo7CsUrvuWSN7Y2JkCMDBc6l8MCeM7zcf5NTFbLq21QzkpVarKauqxtLMGIChPdvxxYb9mBgaUFRWhZ4ePDSmLxNfXyaFiP9g6d0HS+8+2mlzD01TZiNrJyzb9ao3r9dMTR+pDgH1+2PVU+hru2wCKDi2BfveoRjbul5zDsd+k+tNuw6/X/P/iNnXvAwhhLgdHTidSMS+45ibGjGkly/bDpzGzsqCC6lZ3D92EBdSs1mz8xATh/Rm+qtfMXu85sJDZl4xWflFPDltFG98u47Azu24mJnHXcEBfLF6Bx88fhdvfruWR6aMwM5KMw7Tii0xFJaUa9d939iB2nPugTOJfPjENL7bsIdTiel0bdcKgLScAl65fxz3vPE1xWWVJKTn8OET03h96R8UlVagpwfzJg9j/DMfSyFCCCFEk7b/4GE2bNyKubkZwwYFsWXHbuxsbTkfn8icWdM5H5/I72vDmTo+jCmz5vLQfTMByMzKJiMrm+cen8fL7/yPfv69SEpOZfrUiXzy1Xd8+t5bvPLO/5g/bzZ2tjYALP9tNQWFRdp1z7n3bkxMNN3Sxhw6wmfvvc3XP/7MidNn6d5FM85SSnoGb774NHfd/zDFJSX/mHZ1dqK2tpaa2tpbut2EEJcpdB1ACCGam1V7T9DGxRZXOysSMvIBGNu3M1MGduN4Qgbt3R2YENQFZ1tLOnk4MXVQN2LjUnhsQhCj+3Rk3+lkVCo1dw3pzuQB3dh+9AL9OrchPOYsCoWetghxo2wsTHnujiEYGxpQUFKBs60lb8wMRqlSY2dlhq+HE0sjY1EopEOfW+FSgeISux7BuIc8oqM0Qghxe1m5/QBt3BxwdbAhPi0HgHGD/Jg6PIBjF1Jo39qZiUN642xnjW9bN6YODyDmVAKP3xnM6H7diTp+AbVKzbSRgUwZ1odtB87Qr1t7Nuw9ikJPoS1C3KhRfbuxdN0uissq0de/fF7V09NDoa/At607S9fuQl9fvpYJIYRo2n5dvZ62bTxwc3HhQkISAJPGhHDX5HEcOX6SDt5eTB0fhouzE507+jBt8niiDxziqUfmMGbUcPZEx6JSqZh552TunDSOzTt2M6CvP2sjNqFQKLRFiBsVFjyMJd8tp6ikBH2F/j+m33vjJZ5+dC7rIrc0wNYQQtwIaREhhBANbNKAruw9mYStpSnd27XmYnbhpd56UKnVdGjlyPJtR7h7WE9tM9J+nTz55I8obYuIHcfi+XbTQRIy8rl/tD/tXO0Y9uxSfn7hrnrrunNIj6vm6OPTmk/+iCK3uJx7g3vzVXgMc8ICyS0u58sN+6msrsXGwoT3ftuFgYEClVoNgFoNldW1zBzR66rLFg2vKi+V/APrbroIoawqJ3PbN6jqajCydsJlyD0NlFAIIZqeyUP7sOfYOWwtzene2YOLGbmXz7kqFR08XVkWsY/po/tpC+z9urXn41+3aFtEbD90hm/X7yE+LZsHxg6iXSsnhsxbxIq3Hqq3rruCr95K0L+TFx//uoXcolJmhQ3gyzU7mDtxKGrUVFXXMnFIbyxMTfBu5cwXq7ZjYmSIjYUZarWaiqoaZob0b9TtJIQQQtysOyaOZXfUfmxtrenZzY+k5JQ/z7l6qFQqOrb35ruffuPeu6dqz7kD+vrzwWdfaVtEbNm5hy+//4kLCYnMvW8G7b3a0jd4HGuWL623rhl3TLpqjsDefnzw2Vfk5OUze+Y0Pv36ex59cBZqtZqqqiqmjAvDwsL8H9Mffv41ZeXltPVo3ajbSQhxdXpq9Z9XnoQQooU7cuQIvXr1Ytf7c+jezk2nWeYv2cBHD43RTkceiONcai7zJw3QYaobczwhg8FPf8Xhw4fx8/PTdZzrculvouurm7Dw7HrV+bJ2/ohaWYeRnRvWHfuTu38VNQUZ2PUchaquhtzolRhY2KEwMkHf0AR9c2tsugwh6eeXcAgYT01BJvb+Y8k/sA6rDoEUHNuCvrEp1p0GUhIXjcLEAlPXdth0GghATXEO+QfWaddv7OiJXY/geplqS/NJW/8Rbe9++z9fZ1nySU6+Oeq23EdCiObp0vF395cv0qODR6Ou64mPfmbx/Lu105H7jhOXnMmT00Y16nqv17HzKQyau0CO1UIIIRrUpXNu7LZw/Lp3adR1zXv6Rb54f4F2esOmrZw9d4FnH5/XqOu9XkeOnyJgeJicc4VoYNIGWAghmqC/FiEAQvw73pZFiJbCok131ColdaUFqGoqQaXEyM6N4rN7AbDu2B+3EbNBpcQ99FHKU05pn+cYOJHq/DTtsvJi12Li6IGRjStV2YmYt+2OWllLXXnRNeepLswkdf2HtJ7wTIO+TiGEaI7+WoQACOnfvckVIYQQQojm4K9FCIAxo0Y0uSKEEKLxSNdMQgjRhKXkFLJ676kGKUJ8HRFDeVUt5qZGPBgSwOI1ezHU16eTpzPtWznw++7jFJZW4u/TmjF9OzVA+pajtiQPhYERldmJmOWloqqtQWFkglqlAkBP3xAUCs3/gB6apsplScfI2vEDhtZO2mU5BIyjOC4aA3MbLD17UZmZgMLAiKqsBO08RtZOVx2Iuq6ihLjFM3AImEDRqV04+I+74nxCCCHqS87KY/WOQzddhCirrGLJ6h3U1NbhbGfNncEB9aanjezL0x+voJOXO2UVVTx/T1gDvQIhhBDi9nIxJZXf/9hw08WI8vIKXnhzEa3dXWndyo07J46joqKSOU8+T9jIYdwxYWwDJRZC3AwpRAghRCP5dtMB6upUuDtYM6BrW37bdYy0vBLCAnypqatjxc5j2FmaYWpkiImxATbmpgz38+aZryOZNKArGfnFTAzSNI09EJdK5IE4zE0MGdy9HXtPJWFhakwHdwcGd28HQHZhKWuiTmnX7+lsS4h/R+300B7efBURS0cPR+JScziekEnfzp4oFHq0crDmyUkDiUvNYX30GSlEXCfb7sPrTVt6977ifK3HPQVoBqiuykvFqkMALkPv1f7+0vgQlt59tI+Ze1xf82gDMyu6v7Htup4jhBC3u2/W7aZOqcTd0ZaBPTvy65YY0nILGBPUk+raWlZsjsHO2gJTY0NMjI2wsTBjuH8nnvnkNyYP7U16bhETh2jGRjpwOpGIfccxNzViSC9f9hw7j6WpMe09XBjSyxeA7IJiVu84pF1/G1cHQvp3B8DC1IRnpoeQV1TKu8si/jFtoK+gtLKKwpJyWjvb3fqNJYQQQjSAL79fTm1tHa3dXRkyoB/Lf1tDWkYm40KCqampYdmvq3Gwt8PUxARTE2NsbKwZOXQQjz//GndMHEt6RiZTxmuK8fsPHmbDxq2Ym5sxbFAQu6P2Y2FhQcf27Rg2KAiArOwcfvtjg3b9Xm08GDNqBABx8Ql4e7Xh0QdnEXbHPUwdP4bFS75h2qTxlJSV3vqNI4S4IumaSQghGknPdu4oVSryS8qprK5FqVLTysGK3Sc0d7YP6OrFvLF9UapUPDlpICeSMjXP83Zj6qBupOYWa5e1au8J2rjY4mpnRUJGPn7e7tTVKSksq7zmPN7uDvzvwVAy80uprVPhaGPOgyEB/LFPU7yIS83hp21HeHxiUANuBXE1Jg6tb3pgaiGEEBo9fTxRKlXkF5dRWV2DUqWilaMdu46cBWBgTx8enjwMpUrFU9NGcSI+VfO8Dh5MHR5Aana+dlkrtx+gjZsDrg42xKfl4OfjSW2dksLS8mvOk5FbyKIfw3npvrH/mE7PLWTcAD9euX8cR84lN+BWEEIIIW6dXj26oVQpySsopKKiCqVSSSs3V3bs2QfAkAH9eHzu/SiVSp574mGOnTz95/O6Mm3yeJLT0rXL+nX1etq28cDNxYULCUn07tmd2rpaCgqLrimLXzfNzVufLf0BWxtrjpw4RWVVFRu37WTTtl0N+rqFEDdOWkQIIUQjyS0ux8jQgPiMfHxziqiurcPUyBClSg2Aob4ChZ4ehgb6wOXueg5fSGdpZCzONhbaZU0a0JW9J5OwtTSle7vWnE/Lw9BAn/j0PO08zraWPDSm7xWzFJRU8N3mg6jVamwsTOjSxhkDfQVLNuzHt7UTSZkF3Pf+Su4e2pM9J5IY0at9Y22WFiVx2XN4zXy3QZZ1+r3JeN+3mMqseEoTj1JXXojHxBfQNzatN19uzBpqCjKoyknGa8ZCypKOkrVzGe1nf9ogOYQQoinKKyrFyMiA+LQcUrLyNedcY0OUSk0XeQYG+igUehjq/3nO1ZxyORx3kaVrd+FsZ61d1uShfdhz7By2luZ07+zB+ZQszfk8NVs7j7OdNfMmD7tiluKySia/8BlThvmz/eAZhvfpXG96iF9Hdh45S1ZBMe1bOzfSFhFCCCEaV25uPsZGxlxISOJix1RqamowMTFBqVQCYGhooPm+a6i59Kj358n34JHjfPHtMlycHLXLumPiWHZH7cfW1pqe3fw4F5+AkaER5xMStfO4ODvx+Nz7r5hFT08PpVJJXV0d902/k949utG7Rzd279tPVk5uY20CIcR10lOr1WpdhxBCiKbgyJEj9OrVi13vz6F7OzedZGjIMSGaiuMJGQx++isOHz6Mn5+fruNcl0t/E11f3YSFZ9d//D555du0GjOfknP7UatV6OkbUpUVT01xLp6TXyRx2XO4hTxC/oF1uIc8QuKy52hz15skr3oHE0dP1Mo63EbOAUBZXUnOnp+0yzawsMOx7yTt9KWiRuLyF/CasZCiU7tQ1VZj13PkFbPHf/8Ubae9hb6x2X8WRMqST3LyzVG35T4SQjRPl46/u798kR4dPBplHQ01JsStcux8CoPmLpBjtRBCiAZ16Zwbuy0cv+7X1y3s9WqoMSEa25HjpwgYHibnXCEamHTNJIQQTYiHk22zKkI0dw59J5G7fxWFJ7Zj2204ysoSFCYWlCef1M6jhx78WfNXo6YiPQ5lRTH6JhbUlRfddAZVbZV2UGwAtVpN2obFOAZOQN/Y7KaXL4QQzZWni8NtU4QQQgghmoM2Hq2bfBFCCNF4pBAhhBC3yPwlG/57pms05pXvSckpYtPBcyxes5dHPl1LYWkFxxMy+N/vu/h07T7Kq2p48ssNLNmwn7X7Tl9xOW//vJ2vwmN497edAKzae5IlG/Yz9JmvKK+qYcex+AbN3dyYt/KlNP4QJs5t0VMoqEiLQ2FojFpZq53H0MaJyuxE8g6so66sEDP3jhjauKCqq8bM/fJg4vrGpriOmK3999fWEH9l13MkaRs+oujUTqw7DSRt/Ucoq8q0v7+44lWqclOoSDvbIIUOIYS4HT3x0c8NtqywJz8kJSuf/SfjmfbKEg6e0XQTMf+jX/hi1Xb+2HVYO++S1duvuu5V2w/yxartDH5oIeWV1f+Yf/vBMw2aWwghhGgM855+scGWNXz8nSSnpvHmex/x7uLP+e6n3wCI2LKdYePuICs7p978i7/8ho+//JY33/voistTqVQ88+rbvPfxFwAs+3UV//tkCQs+qN9N7ZvvfcTHX37LJ199B8DLb7/Hb3+sb7DXJYS4MhkjQgghGsirP27h2amD2Hc6GZVajaG+ggvpeWQXlvH6zBFA/a6X5i/ZwKIHRvP6sq20cbalTqni4XH9AKioruHHLZcvbNhZmnHH4O7aaW83BzycbPBwsmFUHx/e/GkbxeVVfL/5EJ08naiuVaKv0MPF1hKVSk1VTS1XkpZXzMt3D2PW/36nuLyKyQO6klVQSmZBKeYmRgzt4c2G/Wcbcavd/v469oLHxOcAcAycCKDtDsn7Ps0HZQf/cQB4TnrhutejMDKhOi8Nmy6DsekyWPu4y7D7MDCz0k7/n737Do+qeNs4/k3vjYQ0INQk9BYghN57712Qpogg+lMs2BFEigIiRSnSpCPSO4RAChAIJR0ICaT3XnffPwILvCqgJpwEns91eekuZ8/cOTKZ3Z0z81Qf9fUTr8sIv4ihbfV/3J4QQpRln67ezexxvTkfEIZKpUZPV4fQyFjiktP5cspA4Mmtl975fgsL3hrG52v2Us3RhsIiFdOHdgEgOzefDQfOac5tbWHK8K7umse1qtjhZG+Nk701t+8/+kLE3toClfrRGLv58AW6NK9HSGTsX2Ye0rk5sUlpxCSlYmJk8KfjOzevy36vKyV7oYQQQoh/6MMv5zPnvRl4XvBFpVahp6tLcNgt4uITmPfZh8CTWyxN+9/HfP/N53z01bdUr+pEYVERs96cBEB2dg4/b9yqObeNdQVGDx2oeexSqwZVq1TGukIFcnNzyc7JAaB3t85cvnrtT9nCb0fw43dz+eTrBaSmpWFpYfHEny9dvY6hA/pw5twFALp1bMfS1WsxNDDQHJOalkZ+fgEz35jIW+9/AkDXjm2lloQQL4CsiBBCiBIyvEMjtp8N4NjlULq7OZOenYepkT7Xbsc8dpQWah5t0xN4N47UzBzMjA1Iycz5V+2uO3KR+tXsqWZfgcT0LIa0bUi9anYcvxzGB8M78Fb/Vly5FU12Xj7ZeflPvLZHM1d+OexHWlYuOtrFxcPWH73I692b/assr5LbG2eX+Dmj9i3m3v7viT66mqjfF6FWFZHgvRuAaiO+xMCm8p/a17f8c6HT3MQo7h/6EQCzWs1x7PFGiWcVQggljejakm3HfDnqc53uLeuTlpWDqbEhAWGRmmO00OJhMTy1Gm7eiSY1MxszY0NS0rP+c4bZ43ozfWgXroTcJTs3nyuhdznud5PA2/e5n5BCdm7+n16zbr8nr/dtR25+wZ+OF0IIIcqC0UMHsnnnHg6dOEWvrp1IS8/AzNSUK9cfrbLX0tLiYclZtVrN9aAQUlLTMDczJSUl9R+3+dak13hv+lQKCgoICg1/5vEPC19nZz/6DB11P5r70TEcOnaKC36XSc/IwN7OlvmffURRkeovX//w30KIF0NWRAghRAmpV9WOZXu9aFTDAW1tbQLvxuFSuSIFRUWaY+ytTLkVncQerxukZORQt6od9hXMyM0vpI6TreY4YwN93uzr8cw2V+y7wIXAu7SpX43I+FQm9WzBqgM+ZOfl81b/Vmw4domE1Ex0tbUxNtDnf6sPsGhqH83r1RTfyTmwTT1MjQzIzS8gNjmDavYVSvbivATSwy6SdvMseuY22LYdAUBhdjoJ3rvIT46mQpMe5KfFkxt3G31Le8xdWhJ9bA1GDjWxaTkIXSMzAJL9j5CXFKU5r437QPTMbTSPbduNRt/ClqRLB0m9eZaMMD8qegwm7txvFGYko2tigV37MWRF3ST2zEZy4yJwGjT7iQLYxpVcyYy4RnqYHznRoRTmZFCYkUSlXtOJ3PsdxpVcMXdthbGj84u9iEIIUULq1ajE0m3HaORcpXjMvX0f16r2FD4+5lpbcCsqjt2nL5Gcnkm96o7YW1sUj7nVHTXHGRvqM21I52e2GRwRzalLQdy4dQ8ne2sOXbhGQko6ujraGBvqs3jmSABCo2KpVNGK95b+pnkOIDe/gJjEVKo7VgT40/FCCCFEWdCgbm0W/biaJg3roa2tzY2gEGq71KKg4NEqewc7W0Jv3WHH3v0kJ6fSoI4rjvZ25OblUa+Oi+Y4Y2MjZr4x8Zlt7ti7n9sRkURFR1PdqTI+l/zxvXQFHR0dZr05mbWbt/H2lAk416jO0lVrMTQ0wNLCgrc/+JTl3xWvCK9SyZFFX3/6YLWGIaYmJsxdtBQ9XV1UD2rqLV+znrenTEBfX4+lq9biWqtmCV89IcTTaKkfTmEKIcQrzt/fHzc3N84smkqjmo7PfoGCPl53mDf6eOBka/mPXhebnIF9BbPnPv7U1XAiYlN4vUfzf5jwkYBb0XT432ouX75M06ZN//V5lPDw70SDz46QcH4H1YZ/jpZO8Rz+7Y2zqdzvXZIu/gHaOhRlp2HdYgApV46Clhb2nV4j9tQGVIX52LUbjZ6ZNfD0iYiofYux6zBWMxGhbWBMypUjVB8zn9hT69ExNCUt+DzOk5YRvnYmtSYu5e7Ob7Bq1IX4c1sxd21FbnwEtu1GkeS3j0q9phO8fAIVmvSgICMJi7ptyY4KLP7v2q0wrd4YgMy717n+VY9y+f9ICPFyevj79+yqj2ns4qRolo9W7ODNwZ1xsrf+R6+LTUrD3tri2Qc+cPJiIBExiUzs1+4v//xqaCTt35gnv6uFEEKUqIdjru+JAzRtVP+Ftv3enK+YMfV1qlap/OyD/0JMbDwO9rbPPvAZvl/5C82bNKJNy+LPvf4BN3Dv0kfGXCFKmGzNJIQQJaQ0ijp/u+205ryPn3/e6z3/NAkx5KtNrNrvzaKdZ9nvHQjA9jMBTxxjX8GMraeucDEkir/z7bbTxKVkANCpca3/NAnxMrFu3o97+38g9vSvqApyAchLjEJVkA9qNWqVioK0eLT1DcmNjyA/JRZtPUMKs9IozHy05UaFpj2eKEr9+GoIgHjPLUQfXU32vSAs6xV/GaXKzyEvMQotHV3URYUA5MTcIvbMRtRFBZhWb/xEAWw90wrkxISRFnyeCk16UJSbiY6BMfqW9hTlZKClpU1O3J0XdOWEEKLklUZR5/kb9mvO+/j557817E+TEIM/XM7K3SdZuPkQf3gW13XYftz3iWPsrS3YcuSCprj137UZl5wGFNeI+LtJCCGEEEIpJVmc+qGvvvueaf/7mMVzP2PBg8LSf6fP8NdYtnod85f8yN4DRwDYsnMvwBOTEL/+thOfS/5PbfP/F79+aNabkzSTEEKI0iNbMwkhxL/kExTJ6avh2FiYMLZL8V0SaVm5bD9zlXuJ6fRxr0NcSgbh0Uk4WJvTqm5VfvrjAs6VbRjariHmxoYAHPQNIjI+VXPeIW0bUNHSVPO4ko05529EaB4v3HEGS1MjohLS+HJcV82+llUqWvLGg+2cZqzYR1+PuvgERdKqXlUOXwwh/H4i0x78+e/nb+J5/Q7OlWywtzLjkF8wJoZ6dGhUk7D7iez1ukEv9zqs3O+tKaTdonYVDl8MwdHanEk9W5TmpS2TzJ2bY+786M3pw0LUZrWerKdh7vKowKl9p/H/qI0q/d/703MP26k24gsAKnoMBqDBnANPHPf/C2DXmrj0L9tw6DrpH2USQoiywOdGOKcuBVHR0oyxvVoDkJaZw7ZjPtxLSKZvmybEJqURfi8ORxtLWjV0ZsWuEzhXsWdYlxaYmxgBcMDrKpGxSZrzDu3cnIpW5prHlSpa4RUQqnn83aaDWJmZEBmXxFdTBj0ac+0q8Obg4u2cpi/aRL92TfC+EU6rhs4cvhBAWFScZrunvWcuc/ZKCM5V7HCwtuTg+QBMjPTp6FaHsKg49py+RO/Wjflp10lNIW33ejU4dOEajhUtmdy/Q6leWyGEEOJx530vceKMJxVtbHh99DAA0tLT2bR9D/eiY+jfqxuxcQmE3bqNo4M9bT1a8MPKX3B1rsmoIQMwNytegb/v0FEiIu9pzjtycH9sKz66CauKoyOe5300j79ZvAwrS0si791n/mcfasZcpyqVmDH1dQCmvDObgX16cN73Im09WrD/yAlCw29rtn/ate8gZ85541KrBg72tuw/fBwTE2M6t29DaPhtdvx+gP69urF01VpNYW2P5k05cOQElRwdePP1saV7cYV4xcmKCCGE+Jf2nr/B+8PaM7mXO4b6egDk5BVQpFJT2cacs9duUa+aHbo62iSlZWFraULlihakZuaSX1D0jLM/MqZzU3acDdDsex2bksnkXu4Y6euSlJ79zNfn5BXv5WllaoRPcPFKiB7NXXlvSDvOBNxi17lrVLO3wqGCObeik3CuZMPANvVJSs96opB2dfsKWJoYkpGdR25+wdOaFEIIIUrUntOX+WBsLyYP6PDYmJtPkUpF5YoVOOMfRL2alZmLaAgAAOEASURBVNDV0SYxLRPbCuZUtq1AamY2+QWFz93O2J6t2X7cl4LCB2NuUhqTB3TAyECfpLTMZ74+J6+4QLWVuQm+N24B0MOjIf8b3ZMzl4PZedKPao42ONhYEn4vHucqdgzq2IzEtMwnCmlXd6yIpakxGVm5MuYKIYR4oXb+foBP3pvBtInjMDQsvnkuOzuXoqIiKjs6cMrzPA3q1kZXV5eEpGTsKtrgVLkSqanp5D0YB5/H+FHD2LLrdwoejNMxcfFMmzgOI0MDEpOSn/n67JziQtUVrCy44HcJgD7dO/PhrLc46enFtt1/UL2aE4729oTduoNLrRoMG9CHhKTkJwpr16xWFStLCzIyMsjNzf2nl0sI8Q/IigghhPiXBrauz8IdZ7G1MmV0pyYARMankldQiJG+HkUqNbEpmRgZ6BEUGU9MUgYGerrEpWSSnJGNjYUJAL3d6zy1HS0tmNzbnYGfbwSKC17/fMiXnPxCzTkAohJSWbXfm8zcfLo2fVSEODgqAT0dbVRqtaZI15GLIfgGR9KuQQ0crM04d/0OVmZGNKpZBX09XTad8GdY+0ZPFNKOSU7H2FCf0HsJZOcWaL4IEkIIIUrboI5ufLfpELZW5ozp2QqAyNik4jHXQI+iIhVxSWkYGeoTdCea6IRUDPX1iEtOJzk9CxvL4rsz+7Rp/NR2tLRg6sCO9H+/eFWZvbUFP/9+hpy8fM05AKLiklm5+ySZOXl0a/FoP+2giGh0dXVQqdQUPRxzva/he/MW7Zq44mhjiefVEKzMTGhUzwl9PV02HjzP8K7uTxTSjk5MxdhIn9C7sWTn5MmYK4QQ4oUZOqAP3yxehp1tRcaPHApARFQU+fn5GBoaUlRURGxcPEZGRtwMDuF+TBwGBgbExieQlJJCRZvi7Qz79+r+1Ha0tOCtSa/RY8gYoLgA9k9rN5KTm6c5B0Bk1H2WrV5HVlY2Pbt01DwfGByGnp5u8Zj74Ka9A0dP4u3nT8c2rXB0sOeslzdWVhY0adgUA3191m3ezuhhA58orH0/JhZjY2OCQ8PJys7RTL4IIUqeFKsWQogHylOx6vLkZShWXWvycowcnJ/9gnIqJyaM8J/fLpf/j4QQL6eyVKy6rJBi1UIIIUqDksWqyyopVi1E6ZAVEUIIIcTfsLGxwdDImPCf31Y6SqkzNDLGxsbm2QcKIYQQQgghhBBC/EMyESGEEEL8DScnJ0KCg0hMTFQ6SqmzsbHByUnuOhZCCCGEEEIIIUTJk4kIIYT4f0LuvfxfOr9I5f16Ojk5yRf0QgihkNDIGKUjlBlyLYQQQpSm4LBwpSOUGXIthCgdUiNCCCEeiIyMpE6d2mRn5ygd5aVjbGxEUFCwfKEvhBDiuciY/NdkPBVCCFHSisfcOmRnZysdpUwxNjYmKChIxlwhSpBMRAghxGMiIyOfug2PWq3m1KlTLFmyhMTERMaMGcPEiRMxNjZ+gSmVoVar8fT0ZPHixcTGxjJy5EgmT56MqanpM18r2/4IIYT4pyIiIti4cSPLli0jMzOT119/nbFjx2JgYKB0tFKnVqs5evQo33//Penp6YwfP55x48ZRpUoVGU+FEEKUuDt37rB69Wp++uknVCoVU6dOZfjw4ejqvvwbqRQVFbFv3z5WrFhBXl4ekydPZtSoUTg4OMiYK0QJk4kIIYR4Tjdv3mTmzJmcPHmSPn36sGTJEpydnZWO9cLl5uayZMkSvvnmG8zMzFiwYAFjx45FW1tb6WhCCCFeEpcuXWLGjBl4e3szfPhwFi5cSJUqVZSO9cJlZmYyb948Fi9ejL29PUuWLGHQoEFoaWkpHU0IIcRLwtPTkxkzZnDt2jVef/115s2bh62trdKxXriUlBS++OILVqxYQc2aNVm6dCk9evRQOpYQLxX51kgIIZ4hNTWVd955h0aNGhEZGcnBgwfZv3//KzkJAWBoaMjHH39McHAwHTt2ZPz48bRq1YqLFy8qHU0IIUQ5Fx8fz+TJk2nRogWZmZmcOXOGbdu2vZKTEACmpqbMmzePmzdv0rBhQ4YMGUKXLl24efOm0tGEEEKUc/fu3WPkyJG0b98eQ0NDfH19+eWXX17JSQgAKysrli5dypUrV6hUqRI9e/akX79+hIdLvQghSopMRAghxN9QqVSsXbsWFxcX1q5dy7x587h+/Tq9evVSOlqZUKVKFX777TfOnj1LTk4O7u7uTJo0ifj4eKWjCSGEKGcKCgpYunQpLi4u7N69m+XLl+Pv70/79u2VjlYm1KpVi/3793Pw4EGioqJo1KgRM2fOJCUlReloQgghypnc3FzmzZuHq6srp0+fZsOGDVy4cIHmzZsrHa1MaNCgASdPnmTnzp0EBARQr149PvnkEzIzM5WOJkS5J1szCSHEX/Dx8eHtt9/m0qVLjBkzhgULFuDo6Kh0rDKrsLCQNWvWMGfOHFQqFV988QVvvfUWenp6SkcTQghRxp08eZKZM2cSGBjIlClTmDt3LjY2NkrHKrPy8/P54Ycf+PrrrzE0NGT+/PlMmDABHR0dpaMJIYQow9RqNfv372fWrFlERkYyc+ZMPv30UywsLJSOVmZlZ2ezYMECFixYgI2NDQsXLmTEiBGyRaIQ/5KsiBBCiMfExMQwfvx4PDw8KCoqwsvLi02bNskkxDPo6uoybdo0wsLCGDlyJO+++y6NGzfmxIkTSkcTQghRRkVERGi2GrK0tOTy5cusWrVKJiGeQV9fnw8++ICQkBB69uzJ5MmTcXd3x9vbW+loQgghyqiQkBB69epF//79qVWrFtevX2fRokUyCfEMxsbGfPnllwQFBeHu7s6oUaNo3749V69eVTqaEOWSTEQIIQTFdxcuWrQIV1dXDhw4wOrVq7l48SKtW7dWOlq5Ym1tzcqVK7l8+TIVKlSga9euDB48mIiICKWjCSGEKCNycnL48ssvqVOnDhcuXGDz5s2cO3eOJk2aKB2tXHF0dGTjxo14eXmhVqtp1aoV48aNIyYmRuloQgghyoj09HTef/996tevT0hICL///jtHjhyhdu3aSkcrV6pXr87u3bs5duwYiYmJuLm5MW3aNJKSkpSOJkS5IhMRQohX3tGjR2nYsCGzZ89m/PjxhIWFMWXKFNni4D9o0qQJnp6ebN26FR8fH+rUqcPnn39Odna20tGEEEIoRK1Ws3v3burUqcM333zDO++8Q0hICKNHj5YtDv6D1q1b4+fnx5o1azh8+DAuLi4sXLiQ/Px8paMJIYRQiEqlYuPGjbi6urJixQo+//xzAgMD6d+/v4y5/0HXrl0JCAhg8eLFbNmyBWdnZ3766SeKioqUjiZEuSATEUKIV9atW7fo378/PXr0wN7enqtXr7Js2TKsrKyUjvZS0NLSYuTIkYSEhDBr1iy+/fZb6tSpw65du5DyREII8Wq5efMmXbt2ZciQIdSrV4+bN28yf/58zMzMlI72UtDR0WHy5MmEhoYyYcIEPvroIxo0aMCRI0eUjiaEEOIFu3TpEq1bt+a1116jXbt2hISEMGfOHAwNDZWO9lLQ09PjnXfeITQ0lAEDBvDWW2/h5uaGp6en0tGEKPNkIkII8crJysrik08+oW7duly5coUdO3Zw+vRpGjRooHS0l5KpqSnz5s3j5s2bNGzYkKFDh9KlSxdu3LihdDQhhBClLDU1lXfeeYdGjRpx9+5dDhw4wMGDB3F2dlY62kvJysqKZcuWceXKFRwdHenZsyf9+vUjPDxc6WhCCCFKWXx8PJMmTaJFixZkZWVx5swZtm/fTpUqVZSO9lKys7Nj3bp1+Pr6YmBgQPv27Rk5ciT37t1TOpoQZZZMRAghXhlqtZpt27bh6urK4sWLmT17NkFBQQwdOlSWp74AtWrVYv/+/Rw8eJCoqCgaN27MzJkzSUlJUTqaEEKIEqZSqVi7di0uLi788ssvfPPNN9y4cYPevXsrHe2V0KBBA06dOsWOHTu4evUq9erV45NPPiEzM1PpaEIIIUpYQUEBS5cuxcXFhT179rB8+XL8/f1p37690tFeCS1atMDb25v169dz6tQpXF1dmTdvHrm5uUpHE6LM0VLL/hhCiFdAQEAAb7/9NufOnWPAgAEsWbKE6tWrKx3rlZWfn88PP/zA119/jaGhIfPnz2fChAlSl0MIIV4CPj4+vP3221y6dIkxY8awYMECHB0dlY71ysrOzmbBggUsWLAAGxsbFi5cyIgRI+QmDCGEeAmcPHmSmTNnEhgYyJQpU5g7dy42NjZKx3plpaWl8dVXX7Fs2TKcnJz4/vvv6du3r4y5QjwgKyKEEC+1pKQk3nrrLZo2bUpCQgJHjx5l7969MgmhMH19fT744ANCQkLo2bMnkydPxt3dHW9vb6WjCSGE+JdiY2MZP348Hh4eFBUV4eXlxaZNm2QSQmHGxsZ8+eWXBAUF0aJFC0aNGkX79u0JCAhQOpoQQoh/KSIigiFDhtClSxcsLS25fPkyq1atkkkIhVlYWLB48WKuXbtGzZo16d+/P7169SIkJETpaEKUCTIRIYR4KRUVFbFy5UpcXFzYtGkTCxcu5Nq1a3Tr1k3paOIxjo6ObNy4ES8vL9RqNa1atWLcuHHExMQoHU0IIcRzys/PZ9GiRbi4uHDgwAFWr17NxYsXad26tdLRxGOqV6/Onj17OHbsGImJiTRt2pRp06aRlJSkdDQhhBDPKScnhy+//JI6depw4cIFNm/ezLlz52jSpInS0cRj6tSpo7kJMjg4mPr16/P++++Tnp6udDQhFCVbMwkhXjrnzp3j7bffJiAggAkTJjBv3jzs7e2VjiWeoaioiHXr1vHxxx+Tm5vLZ599xsyZM9HX11c6mhBCiL9x9OhRZs6cSVhYGNOmTePLL7+kQoUKSscSz1BQUMCPP/7IF198ga6uLnPnzmXKlCmyRaIQQpRRarWaPXv28N577xEdHc17773Hxx9/jJmZmdLRxDPk5OSwePFi5s2bh4WFBQsWLGDMmDFoa8u94eLVI3/rhRAvjfv37zNq1CjatWuHvr4+Pj4+rFu3TiYhygkdHR0mT55MaGgoEyZM4KOPPqJBgwYcOXJE6WhCCCH+n9u3b9O/f3969OiBvb09V65cYfny5TIJUU7o6ekxa9YsQkND6d+/P9OmTcPNzQ1PT0+lowkhhPh/bt68SdeuXRkyZAj169fn5s2bzJ8/XyYhygkjIyPmzJlDcHAw7dq147XXXqNNmzZcunRJ6WhCvHAyESGEKPfy8vKYP38+rq6unDx5knXr1uHj44O7u7vS0cS/YGVlxbJly7hy5QqOjo707NmTfv36ER4ernQ0IYR45WVlZTFnzhzq1q2Lv78/27dv5/Tp0zRs2FDpaOJfsLOzY926dfj6+mJgYED79u0ZNWoU9+7dUzqaEEK88lJTU3nnnXdo1KgRd+/e5cCBAxw4cABnZ2elo4l/wcnJSfO+KTMzkxYtWjB58mTi4+OVjibECyMTEUKIckutVnPgwAHq1avHZ599xpQpUzR308syx/KvQYMGnDp1ih07dnD16lXq1avHJ598QmZmptLRhBDilaNWq9m2bRu1a9dm0aJFvP/++wQHBzNs2DC0tLSUjif+oxYtWuDt7c26des4efIkrq6uzJs3j9zcXKWjCSHEK0elUrF27VpcXFz45Zdf+Oabb7hx4wa9e/dWOpooAR06dMDf359ly5axa9cuXFxcWLZsGQUFBUpHE6LUyTd1QohyKTQ0lN69e9O3b1+qV69OQEAAS5YswcLCQuloogRpaWkxdOhQgoOD+fDDD1m8eDG1a9fmt99+Q0ocCSHEixEQEECHDh0YOXIkzZo1IzAwkK+//hoTExOlo4kSpK2tzYQJEwgNDeWNN97g888/p379+uzfv1/GXCGEeEEeruyfNGkS3bt3JzQ0lNmzZ2NgYKB0NFGCdHV1mT59OmFhYYwYMYJ33nmHJk2acOrUKaWjCVGqZCJCCFGuZGRkMHv2bOrXr09QUBB79uzh2LFj1K1bV+loohQZGxvz5ZdfEhQURIsWLRg1ahTt27cnICBA6WhCCPHSSk5O5q233qJp06bExcVx9OhR9u7dS40aNZSOJkqRhYUFixcv5tq1a9SoUYN+/frRq1cvQkNDlY4mhBAvrdjYWMaPH4+HhwdFRUV4eXmxadMmHB0dlY4mSpGNjQ2rVq3i0qVLWFhY0LlzZ4YOHcrdu3eVjiZEqZCJCCFEuaBWq9m8eTOurq4sX76cTz/9lMDAQAYOHChbQrxCqlevrpl8SkxMpGnTprz11lskJSUpHU0IIV4aRUVFrF69GhcXFzZt2sTChQu5du0a3bp1UzqaeIHq1KmjmXwKDg6mfv36zJ49m4yMDKWjCSHESyM/P5/Fixfj4uLCgQMHWL16NRcvXqR169ZKRxMvUNOmTfHy8mLz5s2cP3+eOnXq8NVXX5GTk6N0NCFKlJZa1tkKIco4f39/3n77bS5cuMCwYcNYuHAhTk5OSscSCisoKODHH3/kiy++QFdXl7lz5zJlyhR0dHSUjiaEEOWWl5cXb7/9NlevXmXChAnMmzcPe3t7pWMJheXk5LB48WLmzZuHhYUF3333HaNHj5aaXEII8R8cPXqUmTNnEhYWxrRp0/jyyy+pUKGC0rGEwjIyMpg3bx6LFy/G0dGRJUuWyA2Y4qUh7xyFEGVWQkICU6dOpVmzZqSnp3Pq1Cm2b98ukxACAD09PWbNmkVoaCgDBgxg2rRpuLm5ce7cOaWjCSFEuXP//n3GjBlD27Zt0dPTw8fHh3Xr1skkhADAyMiIOXPmEBwcTLt27Rg3bhxt2rTh8uXLSkcTQohy5/bt2wwYMIAePXrg4ODA1atXWb58uUxCCADMzMyYP38+N2/epH79+gwePJhu3boRGBiodDQh/jOZiBBClDmFhYUsX74cFxcXduzYwbJly7hy5QodO3ZUOpoog+zs7Fi7di2+vr4YGBjQrl07Ro0axf3795WOJoQQZV5eXh7ffvstrq6uHD9+nHXr1mkKZQrx/zk5ObF9+3ZOnz5NZmYmzZs3Z8qUKSQkJCgdTQghyrysrCzmzJlD3bp18ff3Z8eOHZw6dYoGDRooHU2UQc7Ozhw4cIADBw4QERFBw4YNmTVrFmlpaUpHE+Jfk4kIIUSZcvr0aZo0acLMmTMZNmwYoaGhTJ8+HV1dXaWjiTKuRYsWeHt7s379ek6ePImrqyvz588nLy9P6WhCCFEmHTx4kPr16/Ppp58yZcoUQkNDmTBhgmy3I56pQ4cO+Pv7s2zZMnbu3ImLiwvLly+nsLBQ6WhCCFHmqNVqtm/fTu3atVm0aBEffPABQUFBDB06VLbbEc/Uu3dvbty4wTfffMPPP/+Mi4sL69atQ6VSKR1NiH9MPmUIIcqEyMhIhg0bRqdOnTA3N+fSpUusXr2aihUrKh1NlCPa2tqMHz+e0NBQpk6dymeffUa9evU4cOAAUhJJCCGKhYaG0rt3b/r06UO1atUICAhgyZIlWFhYKB1NlCO6urpMnz6dsLAwhg8fzsyZM2nSpAmnT59WOpoQQpQZ165do2PHjowYMYJmzZoRFBTEV199hYmJidLRRDliYGDA7NmzCQ0NpVu3bkycOJGWLVvi6+urdDQh/hGZiBBCKConJ4evv/6a2rVr4+XlxaZNm/Dy8qJp06ZKRxPlmIWFBYsXL+batWvUqFGDvn370rt3b0JDQ5WOJoQQisnIyODDDz+kfv36BAYGsmfPHo4dO0bdunWVjibKMRsbG1atWsWlS5cwNzenU6dODBs2jMjISKWjCSGEYpKTk5k+fTpNmjQhLi6Oo0ePsnfvXqpXr650NFGOOTo6ar4zKSwspGXLlkyYMIHY2FilownxXGQiQgihCLVazd69e6lbty5ff/01M2bMICQkhDFjxsjyVFFi6tSpo3nTHxQURP369Zk9ezYZGRlKRxNCiBdGrVazefNmXF1dWbZsGZ9++imBgYEMHDhQxlxRYpo2bYqXlxebN2/Gy8uL2rVr89VXX5GTk6N0NCGEeGGKiopYvXo1Li4ubNy4kYULF3Lt2jW6deumdDTxEmndujUXL15k9erV7N+/HxcXFxYvXkx+fr7S0YR4KpmIEEK8cEFBQXTv3p1BgwZRp04dbty4wbfffouZmZnS0cRLSEtLiwEDBhAYGMhnn32mKYS+adMm2VdTCPHS8/f3p02bNowdO5Y2bdoQFBTEp59+ipGRkdLRxEtIS0uL0aNHExISwowZM5g7dy5169Zl7969skWiEOKl5+XlRbNmzXjjjTfo168foaGhvPvuu+jp6SkdTbyEdHR0NDW+XnvtNT744AMaNWrEsWPHlI4mxN+SiQghRKkLDQ0lNTWVtLQ03n33XRo2bMidO3c4cOAAhw4dwsXFRemI4hVgZGTEnDlzCA4Opl27dowbN442bdpw+fJl1Go1Fy9elIkJIUS5d+PGDbKyskhMTGTq1Kk0a9aM9PR0Tp06xY4dO6hatarSEcUrwMzMjG+//ZabN29St25dBg0aRLdu3QgKCkKlUnHx4kWZmBBClHtXr14lLy+P+/fvM2bMGNq2bYuenh4+Pj6sW7cOe3t7pSOKV0CFChVYvnw5V65cwc7Oju7duzNgwABu375NYWEhly9fVjqiEBoyESGEKFWRkZG4ubnx5ptv4uLiwpo1a/j666+5ceMGvXv3VjqeeAU5OTmxfft2Tp8+TWZmJs2bN2f8+PG4u7vzww8/KB1PCCH+tZs3b9K0aVPefPNNnJ2d2bFjB0uXLuXKlSt07NhR6XjiFeTs7MzBgwc5cOAAERERNGzYkEmTJtGiRQs2bdqkdDwhhPjXzp8/T9OmTXnjjTdwdXXl+PHjrFu3Dh8fH9zd3ZWOJ15BDRs25PTp02zfvp3Lly9Tt25dzU0pBw8eVDqeEABoqeVWFCFEKVGr1bRu3Ro/Pz+KiooYOnQo33//PZUqVVI6mhAAFBYWsnLlSj755BNyc3MBuH79Oq6urgonE0KIf6aoqIgGDRoQHh5OQUEBr7/+Ot9++y0VK1ZUOpoQAOTl5bFkyRK+/vprioqK0NXVJSwsDEdHR6WjCSHEP5Kbm4uzszPx8fEUFRXx1ltv8dVXX2FhYaF0NCEAyMrKYt68eSxcuBAtLS3MzMy4deuW/B0VipMVEUKIUrNx40a8vb0pKioCICcnRyYhRJmiq6tL5cqVycjIoKCggIKCAgYPHqx0LCGE+Mfmz59PUFAQBQUFAKhUKpmEEGWKgYEBFStWJCcnh/z8fLKzsxk+fLjSsYQQ4h979913uXfvHvn5+RQVFaGvry9f8IoyxcTEBDMzMwoKCsjPzycpKYkJEyYoHUsIWREhhCg9qampLFy4kKZNm2JtbU3Dhg2pUKGC0rGEeMLD+hCJiYlcv36dpk2b0rVrV6VjCSHEP3L//n1WrlxJs2bNqFChAo0bN8bc3FzpWEI8oaioCD8/P5KTk/H396dTp060bt1a6VhCCPGPhIeHs3HjRtzc3KhQoQJubm4YGxsrHUuIJ+Tn5+Pn50dKSgqXL19m4MCBNGrUSOlY4hUnExFClILIyEgSExOVjlGm2NjY4OTkpHQM8QqTflk6pG8LpUnf/jPpl6I8kL77JOm3ojyQfvtn0ndFeSB99xHps8rSVTqAEC+byMhI6tSpQ3Z2ttJRyhRjY2OCgoLkF75QRGRkJHVq1yY7J0fpKC8dYyMjgoKDpW8LRciY+9dkzBVlnYzLfybjqSjrZMz9azLmirIuMjKS2nXqkCN9FwAjY2OCpc8qRiYihChhiYmJZGdns2HZfGrXqqF0nDIhOPw242d8RGJiovyyF4pITEwkOyeH1TP641LJRuk4L43Q+4lMXbZP+rZQzMMxd+037+FavbLSccqEkDv3mPjJYumXokx7OC6vnNYTF0fZtjM0Opk3fzos/VaUaQ/H3HXzZ+NavYrSccqEkDtRvP7RAum7okxLTEwkJzub0V+swa6ai9JxFBUXEcqWL6ZIn1WQTEQIUUpq16pBkwZ1lY4hhHiMSyUbGtVwUDqGEKKEuVavTJM6tZSOIYT4h1wcK9Coup3SMYQQ/4Br9So0qeusdAwhxD9kV82Fyq6NlY4hXnEyESGEAjbu+B3XWtVxb/r8hYLOel8kLj4RIyND2ns0x9zM9JmvUavVqFQqdHR0/vaYgJvB/Lb3IFpaWowZ3Jd6tYvfVEbHxrP74DHiE5Lo3M6DqpUd2X/sNBFR97GxsuTjd94g5NYdJs2aw85flmJvK3eZi/Jj6+kAbtyNw8LEECN9XQZ41GXP+Zu8M/D5CmZuPR2AcyVrNp+6imvlityIiGXhpJ6YGOqXcvInFRap0NXRfuoxUQmpbDp5FXMTQwa3rse1O7EERyUQFp3E12O7YGVmBMDRy2FPPB98L4Grt2M4E3CHdwa24uz1Oxjo6WJjbszYzk1exI8nxH+y6Y8TuFarTIuGtZ/7NZ6XrhOXmIKxoQFtmzXA3PTZhSefZ6wFCI24x5TPfmDbkk+IS0ph+6EzaGlpMapPJ+rVqqpp/7cDp6nnXJWx/bpwLy6RpRv30LWVG0N7tGPzHyeJT04lOj6Jr2e8hpGhwXP/bEKUZfFpWaw67E9FC2NSs3IZ2rouuy8EMb5zI+wsTUq17ecZS3dfCCYhLZtdF4LY98kwjvjfeuKxiaEeAJ9vPYudpSkh9xJZOqU7G05eIze/kD3ewRz7ahSjFv1Ou3pOuNWyp7mzY6n+XEIoadO+Y1wPuY2FmSlGBvoM7t6OLuPf48q+X0hMTqP1iLe477Wbt79eyvJPZ/7lOQoLi9DVffrYev7ydXwCArkVGc17rw8jKycXT78ArgSF09mjKaP6dgHgWsitPz3vc/Um787/iQvbVwD86bEQL6uM5HjObvsJM6uKZGek4tZjOP7HdtJq4OuYW5fuzQFFhYXo6D79q2j/Y7vISI7H/9hOpq04gIGRCZ7bVxIXEcrQ2d8/cezjz187s5/Ee3fITEmg39tfc2j1XEytbMjJSKX7xA9L88cS/4BMRAihoK+X/EQFKwtCb0UwdexwDhw/g6mpMa41q3M/Jg7XWtWpWrkSP2/eQTuP5gBcvRFE88YNmPr+Zwzo0YVjZ8+z6rsv0NMr/gCUn1/AmQt+XA8ORa1WM3n0UMLvRHL+or+m3bbubprVGqe8fBk1qA+6Ojqs+203i76YDYCjvS31azuz9nIAhgb6VHeqzIxJY5n99SImjh5CYnIKh0540q3D831xK0RZlJKRQ/Vaj74IOHcjggtBkeTkFTCyQyNu3I3jfmI6sSkZzBrYmj3nbwLgF3IP50rW6GhrM62PO0t/v8Dd+FTmbj3NiA4NSc7IIT07j6T0bGYNbMU3285Qp4otretV5dDFEEwN9XGuZE10UgbOlaxxqmjJ+uOXaVOvKjs8b9CvZR1u3o1DT1eH+NRMPhnRAb0HH8SycvM5HXCb27HJaGtrM623O143I7gZGa/5Obo3daaGQ/FWF2uPXsbW0pTCIhUGejp0d3Omu5szX289RVp2rmYi4v8/71HHCY86TgTcisGjjhM3IuLIyS8kJ7/wRf3vEaJEfLNqKxUszAi7e59JQ3ty8IwfZiZGuFSrzP34RFyrVcbJ0Y61uw7TtlkDAK4G38KtvgvTvlxGv04eHL/gz0+fvY2eXvFb5/yCAs5evM6NsAjUajUTB/fgVmQ0F64Gatpt3bSeZpVGYkoahz0v0rVVUwDO+AYwoldHdHW12bD3GN/9bzIAhvp6WJqbkJWdi5aWFvVqVWVMvy7EJaYAcPbiNdZ89Q5rdhzipPcV+nRs+cKuoxClac2RK0zv3YwKD8akx7239gSLJ3bR/HvZ/osY6eviVNGCqrbm7PAKwkBPhzZ1qxByP5nCwiIqWZvhUbsyC/d4U83OEjMjfUa1r685Z2RCGicDIsjIyaduFRu6NK7OL8euUFikBkBfV5vXuzbWHD+4VW1iUzKJTcnExFDvT48fUqkgMycfU6PiScLxnRty9U4cWlrFf25naUJOfgFqdSlcRCHKoOS0dJrVdwWgV/uWbDt4iuTUdHq2c//L47OycznhfZlbd++jo6PN22MH4XnxGjdCb2uO6dnenZpOlQBo7daA1m4NWL1tPzHxybRp1oCGrjV58/PvGdy9neY1DV1rPvF8+N37BN+Owq1+8TY1//+xEC8zz+2r6Dh6BiYWf94aceeCWQyd/b3m36c2L0XPwJAKDlWxdqzKpSPb0dU3oFbTtsRFhFBUWIClbSVqNmnN0bXfYlOpOoYmZrToM0ZzzuSYuwR7nyQ3OwOHmnWp49GVczvXoCoq/lypq6dP68GTNMc37TaE9MRY0hNjMTAywe/AZmq37EJcROgTWf//87VbdubUph/Iy84EIDU2il5T5/DrJ+PJyUzDyNSixK+l+OeefuuHEKLUDerVjZEDe+N/PRC3RvUoKCgkJTUNLS0t1Go16r/5pGJlacHwAb1wrVmdmPhEzfPLftnI7gNHadOiKe+9MQELc7Ontj9mSF+OnT3P0TPn0dfXe+LPOrZ258f5n3Lh4lUAUtPSycvPx66iDQePn0GtVuPrf42jp8/9t4sghAIGtqrLt693xzc4SvPcAd9g3h/clgldm3L0chjegZHM6O9Bz2YunA+8S9j9JKb2akHrusV3LxepVPx0wBe1Wo2JgR7NXCrRr2UdjvuHY2NujLW5EXfjU2lS05HM3DyycvNpUtOBgiIVKZm5aGmBWg1qHvXzdvWr0aVJTU4H3MbSxBBDfV3i07I0f/7NtjOcD4ykc+OaTO/bEm1traf+nPmFRbSq40Sv5i78duYaAOuPXaZeVTuq2Vk9cez/f/7Mtdu0a1AdgMk9mzOjvwf5hUWE3EtEiPJkQJfWDO/ZgSuBt3Cr50xBYSEp6RlooVXcB/9urLUwZVjP9rhUq0xsYrLm+eWb97HnmBetm9Rl1muDsDB7+h3bhzwvokaN3/UQjp2/zKg+nTjh7c/x8/7o6z0ae1s0rM38dyfSrbUb2w+d+dN5po3sy49b9nEzLEIzKSLEy0JLC6IS0pm/6zzng6L+9OcPx8rIhDQmd29C96Y1OH71Dq91asj/BrZkv18YjavbUaRWk5SRg1dgFLo6OpgbGZCQ9qhAZ2RCGh9vPIMaGN2hPl0aV3+ufBtOXmN8l4Z/+xjA0sSADwZ7YKinQ3JGcSHuLWduMKpdPQC+n9SVWf3d2XLm+j+6NkKUR0O6t2fxh9PwvlJ8I08VB1vu3o9FpVZjZPTXK/q+/HEDXpeu0bVNM2a+NgRt7Wd/ZfX78XOo1CraPLiZIPzufao4VMRA/8mVyo8/f/CMN5lZ2dwMi+DEhct/eizEy0+L5JhIDq/5hnB/rz/96cP3xsnRd2k7dCr12vQg8MJxPAaMp9uED7h2eh9VajdBXVREVloy4ZfPoaOrh6GpORnJCZrzJMfcZe/3H6JGTYs+Y6jj0fW50l3Yu45WA1+nIC+XqKCrBHkfJ+ZWIKnx9wH+8nl9Q2N6TP4YS7tK5OfmULdNT87v/oWczDS0tZ++ukq8OPIJRgiFaWlpoaWlhUqlIik5FX09PUJvRdC/R2fW/rabWtX/uoCO1oNbq7S0QKVSaZ7/37SJqFQqvC9d5fvVvzJ++EDcGtXDrVG9vzxPQUEhWlpaZGZl8eb4Udy+G0Vw+B3sbKw5fd6H+MRkurYvXvWwftteJowYBMBrwwcCkJWdTfeObUvsegjxouy9EIhPcBTOjxWv7uNem4W7zz2xImLZPm/NioiE1Cx2nruOX0gUDarbaVZEAETGp6L9oF/2auFCRk4eJob6OFQwwzsoCi0tLW7HJKOlrYW+rg7h0Un0buHKxhNXqOnw6G4UrQcTC93cnMnOK8DG3AQb80fbw8wb342CwiLO3Yzg5NVbvNWnJe0aVNdMGPx/ozs2YvvZ6+jqaDO4TT1W7PfBOyiS1vWqEpWQys278dR1smW/b/ATz1epaMme84EsnNQDgD3nbxIRl8L9xHSqdrcs0f8XQpS24rEWVGoVSanp6OvpERZxn76dPFi/5yi1nP56ixQtHhtrH5useG/CEFQqFT4BQSzdtJdx/bvStJ4zTev99Z7Z4/oXbw2RlZ1Lt9ZuFBY+GHuzc3hjeG/u3Isl5E4UVuZmePnf4O79ON4a3Y/7cYn8fuI8GVk5NK5Tk4LCQlQqNY621nTxkC3SxMtjSo8m/HjgEraWJuhqa2P42ESbubE+O84FEnq/eDLQqaIFPx+9QjU7C7o1rsGvp66hr6tD3xbOJKZnY6Crw63YFGb0bcHVO3HkFhRSp8qjsd6pogWb3+tPQlo2x/xvY2lqSE+3mkzq9vd9Kje/kNiUTKrZWv7l4zVH/JnSoymJ6dmsPuJPTn4hliaGxSsmDPQwMzYgN7+QlYcvk5tfKHUxxCth19GzXLhy44nC1tNGD8DQQJ/Plq77y9d898EbFBQUcvZiAMe9djDztcF0cG9MB/fGf3n83mPnWLXtD/p29OBG6B3qu1Rn7c6DvDNhKAB+AUFo62jTrL7rE8/PfG0IACERUXRp5UaXVm5PPBbiZdZu+Buc3rIMc2tbtHV00TMw1PyZoak5lw5vIy4iBIAKjlU5t3M11pWqU7d1N7x/34Cunj4NO/YnMyUBXX0DEiLD6TT2HaKCr1CYl4dDzUe1Uis4VGXid7+RkZxA4PkjGJtbUb9tL9oOnfK3+QrycklLjMW6UjUABr+/CID4u2FY2lbCc8cq2g1740/Pn/1tBUVFhaQlxBT/TGo1BXk5NO48EAPjZ29tLl4MLfXf3QImhPhX/P39cXNzw+fQdilW/cCV64G07DWcy5cv07RpU6XjiFfQw355esFEKVZdggJux9Bx9lrp20IxD/u219bvpVj1A1eCwmkzapb0S1GmPey7J+eOli/lgYA7cXSes0X6rSjTHvbb89t+lGLVD1wJDKP1iOnSd0WZ9rDvvrvhzCtfrPpeyFWWjO8gfVZBsjWTEEIIIYQQQgghhBBCCCFKjWzNJEQZ9fWSn5g8Zhj2tjbPPvg/2LJ7PzHxCSQkJvPtnPc0Wz59/t0yKtpYk5qWzpxZb/Lh3MXY29oQFHqLld99wftfLaRqZUe0tbWZ/vroUs0oRHnx7Y6zTOjqhp1V6S793H72GnGpmSSkZfPV2M6afvvZxhPYWZkSHJXA8ml9+fnwRY5eDmPXnFEAZOcV8M6qA3Rv5sLg1n+9XZsQr6JvVm1l4pCe2NtYPfvg/2DrgVPEJqaQkJzKvFmva/rulys2UdHKgtSMLD6eOpIJHy/CrZ4zrtWr0LllY2YvXktVR1u0tbSYNqpfqWYUorxYsPsC4zs3ws7y6TVa/qsd5wKJTc0iMT2bL0e10/Tb3ReCSUjLZteFIPZ9MozjV28TmZCOtZkRozvUR6VS8/lWT2zMjZjZr0WpZhSiPJn70yYmDeuNvc2fC+WWpK37TxCbkFw85r43WdN3v1i+AdsKlqSkZ/LJm2PYffQsd+/HYW1lwWsDu/PLzoNkZefg5GDHwG6yBbEQAEd+mU+rga9jbl26qxgvHd5GelIcmckJ9H37a02//WP5p5jb2BF7O5gRn/zIjm9nYlvVmdS4+wx4Zz7H1y8k5nYQ477+623fRNkhExFCKMTn8lX2HzuNiZERndt5cOzMeSpYWRB6K4KpY4cTeiuCnfuPMLRvD4ZPeYc3XhsBQHRcAjGx8XwwfRKfLViGR7PG3Im8x+gh/Vj+yyaWfTOHzxYs450pr1HBygKAzbv+IDk1TdP2lDHDMDQ0eJAjgOXz5vDz5h1cDwqlYV1XAKKiY/nygxmMevM90tIzUKlUZGZlY2ZqQkpaOlrAjElj6TVqikxEiFeGX8g9Dl8MxdhQjw4Nq3Py6i0qmBkTfj+JCd3dCI9OYu+FQAa2qsu4RbuY1KN4j9mY5ExNnYmvt57GvXZlIuJSGdG+IasO+rJwUk/mbj3NW31bYmVmBMC2s9dIyczRtD2hqxuG+sXD9sXQ+yya3JMNxy9z82489asVvyFUqdVk5uZjZlzcvyf3bE5QVHGxMJVKzU8HfBjatgHpOXkv7JoJURb4BgRz4IwPJkaGdGrZmOMX/KlgYUbY3ftMGtqT0Ij77D52jsHd2jLqvXlMGd4bgJiEZGISkvjf60P5YvlGWjauS8S9WEb16cSKrfv4/qM3+eLHjcwYO5AKFmYAbNl/ipT0DE3bk4b0xNCguGCm37Vgfvh4Gmt3HeZ6aAQNXYtru0TFJPD5W2MZ+8G3pGVkYW9jRX5BIQUFhaSkZ6KlBdNH96fvm5/KRIR4ZVwMi+bw5VsYG+jRob4TJ69FUMHUiPCYZCZ0aUR4TAq/+4QwoKUr43/4g9e7NgYgNiWT2JQs3unXgrk7vHB3ceRufBrD2tZl9WF/vpvQmW92eDGtlxtWpsVj7vZzgaRk5mraHt+54aMxNzyGhRM6s+HkNW5GJlK/akUABreq/aCtTEwM9dh69gY9mtbUnGPVEX8Gerhw7uafC28L8TLzDQjkwGlvjI0M6dyyKcfOX8La0pzQiCgmD+tDWMQ9dh85y+Ae7Rk56yumjige12Lik4rH3Ikj+HzZejya1OXOvVhG9+3Cj5v38sMn0/l82XpmvjaYChbmAGz54zgpaY+NucP6aMZc34Agls55m192HuR66G0auhb3z3sx8Xzx9njG/G8uaRlZ/Lr3KL07eACQkZXNvhNe9O3UigfffwrxSoi47seNc4fQNzTGpUVHgn1OYGJRgfi74bQe9DoJkeFcPbGHxl0GseHDsbQeMgmAtIRY0hNj6DzuXQ6t+orqDd1Juh9Bs14j8dy2ksHvL+LQqq9pP3I6JhbFN/xcPPQb2ekpmrZbDXxdU6ci4sZFhry/mAt71xMdfoNKzsVF6NVqFXnZmRiaFL/fLszPIy87CxNLawC6TnifnQtmvbDrJf492ZpJCIVs+/0Q1Z0q42hvR9jtuwAM6tWNkQN74389EJea1Rjatwf2tjbUda3FyIF9uHDxKu+9MYE+3TpyzucSKpWKsUP7M3xAb46d8aKtezP2HT6JtraWZhLi3+rdpT2rft1GaloGOjo6WFmYM2fWm5oJjHq1nVm54Td0dOTXiHh17Pa6QVU7SxwqmHErprhoZr+WtRnStj4Bt2Oo5WjNwFZ1sbMypU6Vigxt2wDf4HvM6O9Bz2YunA+8i0qtZmT7RgxpU5+TV2/hUceJA77BaGlraSYh/i1LU0NmD22HoZ4uyRnZT/xZwJ0YcvMKOe4fzskr4f+pHSHKmx2Hz1K9sj0OttaE3Y0GYECX1gzv2YErgbdwqVaJwd3aYm9jRd1aVRnRqwM+VwOZ9dogerd3x+vyDVRqNWP6dmJYz/Ycv3CZ1k3r88cpb7S1tDWTEP9Wr/YtWLPjIKkZWejoaDP/3Ym8O34w+0/7YG1pTr2aVVm9/SA62jLmilfH7gvBVLW1wMHKlFuxqQD0beHMkNZ1CLgTTy0HKwa0dMXO0oTalW0Y2roOfqHRvN2nOT2a1uBC8D3UajUj2tZjcKvanAqIwKN2ZQ5eDENbS0szCfFfbDh5jfFdGgKQnVfI610bcyculaiEdKKTMzh65Ta+odFkZMsNAOLVsf3QaapVdsDR1oawu/cAGNC1DSN6d+JKYBjO1SozuEd77G0qULdWNUb07oT3lZvMmjCU3h1a4nX5Giq1ijH9ujK8V0eOn79EG7f67Dt5Hm1tbc0kxL/Vq0NLVm/bT9qDMTc7J5epI/pyK/I+BYWFGOjrM2V4X054+5fE5RCiXPA/thNrx2pYVHQgIbL4s2Kjjv1x6z6UqOCrVHSqReMugzC3tsO+Zh3cug/jzjVfOo2ZQb22Pbl15TxqlYpmvUbRtPtQgn1OUKNJK66d2Y+WlpZmEuLfMjazpPvED9HVNyQ5JpLKtRvTfeJsUmJlsr+8kRURQihkeP9enL3gh5WlBU0aNOJO5D20tLTQ0tJCpVJRu1YN1v+2m9eGD0T7wRcPbd3dWLxqvWZFxPGzF1i9cTthd+4yddxwnKtXpXWfkexau+yJtsYM+fu7J1u6NWLxqvUkJCYzafRQfly3hemvj0atVpOTm8fQfj0wNTEmPimZ5Ws3k52Ti5WFOWq1muzcXF4fObhUr5MQZcmgNvXwunEXK1MjGlW3JyIuBS200NIqXnHgUsmGTaeuMLpjY7S1i2+j8qjrxLJ93poVEaeu3mbdscuERycxsXszajpUoMtH69j8wdAn2hrRvuHf5mjuUoll+7xJTMvitS5NWX3Ij6m9WpCYls2qg35k5xVgaWLEPu8gAiPj2Xb2GiPaN6RJTUe8bkYQl5pVqtdJiLJmaI92eF66hpW5GY0b1STifuyDMRdUahWu1avw695jjOvfBe0Ht0C2blqf73/do1kRceKCPz/vPEzY3ftMGdaLWk6OtBvzHjt+mPNEW6P7dvrbHC0a1ub7X/eQkJzK64N78NPWP5g2qt+DMTefId3aYmpsxA8b95CVnUu1SsWrnYrH3DzGD+xWehdJiDJmkEdtvAKjsDQ1pGE1WyLiU4v7LQ/GXEdrNp++zqgO9TX91qN2JZYfuKhZEXHqWgTrTwRwKzaFCV0aUdPeiq6fbWXzu0++Nx7etu7f5mhey4HlBy6SmJ7Na50asOaIP1N6NCU3v5DYlEyq2VoC0KtZLVYf8aegqIjKNmbMHdOByIQ09uqHaFYqCvEqGNazA2f9ArCyMKNxo+JVDcV9VwuVWk3tGlXYsOcI4wZ017xfbuPWgO/X79SsiDh+/jJrdhwgPOI+U4b3oVbVSrQdNYMdS794oq3R/br+bQ73RnX4fv1OEpJTmTikFz9t+Z1powegVqvJzctjcPf2mBob0a9za1Zs3kthYRFW5mY0rF2Dn7b8jkNF69K8TEKUKU26DiHc/xzG5lZUc21EUnQEaGmBlhZqtQq7aq74/rGRFn3GoKVV/P1UzcatOLV5mWZFRIjvSS7sWUtCVDitB03CpkpNfpjYidcXbH2irea9Rv5tjmr1m3Nq8zIyUxLwGDAezx2raDfsDTJSEvDcvpKCvGzMre2IDruB5/aVmFoVr1L03b+JmFuBXD97gAbt+5TadRL/nZZarVYrHUKIl4m/vz9ubm74HNpOkwZ//6GmJLz10VesmP+Z5vH+Y6cJDrvF+29NKtV2/6kr1wNp2Ws4ly9fpmnTpkrHEa+gh/3y9IKJNKrhoGiWd9ccYsmUXprHhy+GEnIvgXcGtlYw1b8TcDuGjrPXSt8WinnYt722fk+TOrVKta0Zc1ewbM5bmscHz/gSdDuS/70+9CmvevGuBIXTZtQs6ZeiTHvYd0/OHU2j6qW33/R7a0+weGIXzePDl28Rej+pzNVsCLgTR+c5W6TfijLtYb89v+1HmtR1LtW23v56Kcs/nal5fOC0N8G3I/nfxOGl2u4/dSUwjNYjpkvfFWXaw7777oYzVHZtXGrt7Fwwi6Gzv9c8vnHuEHF3Qug8ruxsmXQv5CpLxneQPqsgWREhRDn2+CQEQN9uHenbraNCaYQQz+PxSQiAns1d6NncRaE0Qojn9fgkBEDvDu707uCuUBohxPN4fBICoKdbTXq61fybo4UQZcXjkxAAfTp60Kejh0JphBDP4/FJCID6bXtRv22vvzlavKpkIkKIl0hE1H12/nG4RFZErFi/hezsHExMjBk3dAA/rt1MXn4+9rYVmTqubN2JIkR5FBmfyp7zN0tkJcSawxfJzs3HxFCfyT2bP/F4YvdmfLbpBLaWJthbmTGsXYMSSC/Eq+tudBw7j3iWyEqIBT9vJzD8Lr8u+ACA+ORUJs1Zwpw3RlHTyZHfDp4mPTObqJgEVn4x4z+3J8SrLjIhjb3eIf95RUR2XgGzN5yiThUbMnPymdbbjRUHLxGfmv2nyQ8hxH93934sO4+c/c8rIgoKClm97Q+KVCpO+Vxh38pvyM7J5a0vf6BX+5YM7dmhZAILIUiOucuV43v+84qIvOxMPHesojA/D3MbezwGTGD/j59iVsEWcxt7mvWQ76fKE5mIEKKMWL1xOwWFhVRxsKdD6xZs3v0H96Lj6N+jE3n5BWzeuQ/rClYYGRpgZGiIpYU53Tq05p1P5zG8f0/ux8QxpG8PAHwuX2X/sdOYGBnRuZ0HZy9cxNTUGNea1enctvhOktj4RHb8cVjTfnWnyk+spujavjUr1m2hrkstTE2M+XDGFBKSkvnmh1Uv9sIIUQatO3qZgqIiKlmb065+NbZ5Xud+Yjq9W7iSX1jIb2euYW1mjKG+LkYGeliaGNK5cU0+WHuEwW3qEZ2UwcBWxVu3+YXc4/DFUIwN9ejQsDpeN+9iaqiPcyVrOjSsAUBcSiZ7LtzUtF/N1uqJVRSdGtVgzaGL1K5S8U+Pb96No5ajNeO7NuW9NYdkIkK80n7ecYiCwkIq21ekffOGbD1wintxifTr6EFeQQFb9p/E2tIcIwN9DA0MsDI3pWvrprz77SqG9mjP/bhEhnRvC4BvQDAHzvhgYmRIp5aNOXvxOmYmRrhUq0ynlo0BiE1MYddRT0371SvZP7GKYvbk4cyYuwKAnNw81u8+yuBuxee3tjRn+uj+LN24lzdGyl63Qqw7EUBhYRGVrM1oW8+J7ecCuZ+UQe/mtcgrKGL7uUAqmBkWj716eliYGNC5UTVmbzjFoFa1iUnOYEBLVwAuhkVz+PItjA306FDfCa/Ae5ga6eHsWIH29asCEJeaxV7vEE37VW0tNKspdHW0yczJJzUzl8o2Zpga6jN7cCveW3vixV8YIcq4Ndv3F/dd+4p0aNGYrftPcC82gX6dWxV/zv3jODaWFhga6mNkYICluSndWjdj1vwVDOvZkftxCQzp3h4A34BADpz2xtjIkM4tm3L2YgCmJka4Vq9Cp5bF26zEJiaz6/AZTfvVKjtoVlPo6ekyfewg9h47x8ShvVGpVCzbtIfhvTuRkZn9wq+NEGXV+T1rKSoswNK2Es7N2nHp8DZS4+7ToH0fCgvyuHjoN0wsrNEzMETPwAhjM0tqe3Rmz6IPaNJtMKnx0TTpMhCAiOt+3Dh3CH1DY1xadCT88jkMjE2xq+qCS4sOAKQnxXHl+G5N+9aVqmlWUxgYm9J1/P/ITEnk2LoFxITfwNbJGY8B49n13bsyEVHOaCsdQAhRzK1hPYqKikhMSSE7J5eiIhWVHe04dc4HgA6t3ZkxaSxFRSo+mD6JqzeDNK8bObAPd+/FaM617fdDVHeqjKO9HWG37+LWqB4FBYWkpKY9dx6XGtVYOvcTomPjALgfE8fc71fyxf+ml+BPLUT51LimA0UqNUkZ2WTnF1CkUlHJxpyz1+8A0K5+Nd7s445KpWbWwNZcuxOred3Qtg2ISnjUF3d73aCqnSUOFcy4FZNMk5oOFBSpSMnMfe48tRyt+W5SD2KS0//y8YManmg9/A8hXlFN69WiSKUiKTWd7Nw8ilQqKtvZcNr3KgDtmzfk7dH9KVKpeH/iUAJCbhW/rq4zI3p1IComXnOuHYfPUr2yPQ621oTdjcatnjMFhYWkpGf8q2xnL14D4LTvVY6dvwxAUVERN8MjaORa4z/81EK8HBpXt6NIrSYpI4fsvAKKVGoqWZtx9kYkAG3rVuGNnm6oVGre6d+C63eL+2vjGnYMbV2HqMRHfXP3hWCq2lrgYGXKrdhUmtS0+0djb3RyBn1aOPPxsNZcuR1X8j+sEC+RpvVcisfelDSyc3MpKiqisn1FTvlcAaBDi8ZMHzuIoiIV708aQUDww7HXhRG9OxEZ/Wjs3X7oNNUqO+Boa0PY3Xu41XehsLCIlLR/NvYeOutDnw4tuRIUTk5uHkfP+XHM62LJ/dBClHNVajdBXVREVloyBbk5qIqKsLSrROjFMwA4u7Wj/YhpqFUqurz2LvdCi9/HVq7TGLfuw0iJjdKcy//YTqwdq2FR0YGEyHCc6jRFVVhAdnrKc+dJjY/m6NoF9JzySfETjz7glsjPK14cWREhRBkRn5SMgb4+Ybfvctf1Pvn5+RgaGlKkUgGgp6uLtrY2enrF3fbhF4oXr15n5YbfsLe11pxreP9enL3gh5WlBU0aNCIk/A76enqE3orQHGNva8OMSWP/MktSSio/b9qBSqXC0sKCtPQM+o17k5EDe3P87AWG9utRSldBiPIhMS0LAz0dbkUnE1kljfyCIgz1tTT9VVdXB20tLXR1i+f7H/ZX//BofjlyCVtLE825BrWph9eNu1iZGtGouj2h0Uno6+oQHp2kOcbOypQ3e//1XvTJGdmsP+aPSq3GwtToT4/rVbVjx7kbLNvnjXvtyqV1SYQoFxKS0zDQ1yPs7n3q1qxKXn4BRgb6T4y1Wtra6Ok+GGsp7ruXboSyevtB7KytNOca2qMdnpeuYWVuRuNGNQm9cw99PT3CIu5rjrG3sWL66P5/m+fX349zM/wu+09707ejBz3aNmfTHydwrVbcV/845UPfji1L/DoIUR4lpmdjoKvDrdgUohLTyS8sxFBP97GxV7t47NV5MPY+6L9XbsWy9thVbC2MNeca5FEbr8AoLE0NaVjNlrCYZPR1dAiPefSliJ2lCW/0/OtCluZGBnjeuEtcaha1HIp/L6w67E9QVCKeNyNpV8+pVK6BEOVRQnIq+np6hN+9T2R0HHkFBRhpa1NU9PjnXK1HY++D7xUv3Qhh1bY/sLN5NPYO69mBs34BWFmY0bhRXULvRKGnp0toxD3NMfY2FZg+dtDf5vEPDKNxnVpoa2vjVs8Ft3oueF4MIC7x+b8UFeJll5mSgK6+AQmR4STXqENhQT562oaoVEUA6OjqoaWtjbbuk99PRQb647XrZ8wq2GrO1aTrEML9z2FsbkU110bE3w1DR0+f+MgwzTHm1na0HzHtL7PkZKbx87tDaNp9GMG+p2jUaQCXj+zg1OZlVG8o9drKGy21Wq1WOoQQLxN/f3/c3NzwObSdJg3qlmpbJVkTojRduR5Iy17DuXz5Mk2b/vUHOiFK08N+eXrBRBrVcFAkQ0nWhCgrAm7H0HH2WunbQjEP+7bX1u9pUqdWqbRRkjUhXoQrQeG0GTVL+qUo0x723ZNzR9Ooul2ptVNSNSFKW8CdODrP2SL9VpRpD/vt+W0/0qSuc6m2VVI1IUrblcAwWo+YLn1XlGkP++67G85Q2bVxqbVTUjUhStO9kKssGd9B+qyCZGsmIcqxalUqlflJCCFEMSdby5dqEkKIV0VVR7tyMwkhhHiSU0WLMj8JIYT4s6qV7Mv8JIQQ4kkVHKqW6UkIUTbIRIQQZdRbH31VYufqNux17t6L5ryfP0MmzsDXPwCABct/ZvGq9Uz932ekZ2T+6XVb9+ynbb/RmscqlYoPvlrIwhW/APDLlp2a/xbiVfDumkMldq5+X2wiKiGVo5fDWPr7Bab/tJ+UjBwADl8MZdDXWwDwDopk5UFfhs/bhndQpOb1J6/e4rudnny0/hjZeQV/Ov+SPV4s2+fN2z/tJz07jwO+wSzb581nG58spPnTAV9WHvTl2x1nAdhw3J8f9p4vsZ9TiPLgYcHoktBz8sdERsez+Y+TLNmwm/99t4ac3DwuXLnJ8Flz8bsW/Jevm/nNT/y4ZR97jnsBsPvYOZZs2M2vvx8HYN3uIyxat7PEcgpR3pVkYej+c3cQlZBOwJ04Fu314ceDl8jKLcDzRiQ/HrzEB+tPkl9Y9KfXHfW/Tb+5O4hLzQLg861n+enQZWauOQrAr6eusfQPvxLLKcTL4O2vl5bYuXpMfJ/I6OI6LQdOe9N36kcAzP1pEwt/2caGPUf+8nXbDp5i0drtTPviewoLi1j66y5+3LSHjxatQa1W43P1Jq9/tKDEcgrxsti5oOQmGla81YfkmEjuhVzl2LrvOL1lOXk5WX867qbXEVZM60160qOaTJ7bV2qyhPieKtFconTJRIQQCvnomyVkZmVz6KQnB46f4ehpL5b9solP5n+vOSYi6r7mi/63PvqKvLx83vtiAT+u28IPa37VHJedk8OyXzZp/tm6Z/8TbTnXrEbVyo60btGUft07aZ7X1dMlJTUNtVqNmakJ/9+oQX1pWM9V83jZL5sY2vdRfYgu7Vr99wshRBny+aaTZObkc+xyGEcuhXLiyi1WHvTly82nNMdExqdqvqh/d80h8goK+Wj9MVYf8mPFfh/Ncdl5Baw86Kv5Z4fn9SfaquVoTZWKlnR3c2bmgFbYWZqQlp2LX8g91KipZle8H65HHSfe7O2OlakhHnUe7Tl9+GIoHwxtR5cmNTlz7faffhZdHR1SM3NQA2ZG+nRqXJOs3Hwyc/OfOO52TDJv9nYnv6CItKxcOjWSorji5fPJD+vJzM7hyLmLHDrrx7Hzl/lxyz4+XbpBc8zd6DjNF/0z5q4gL7+A9xf+zE9b/2DZpt81x2Xn5PLjln2af347ePqJtpyrVsLJ0ZazF68x67VBOFetxEnvK7RqUo8+T6n3YG9jhUqlJudBH9247wSmxoaaP+/s0aQEroQQ5ccXWz3JzM3n2JXbHPG/xcmAO6w67M9X285pjolMSNN80f/e2hPkFRTyyabTrDniz0+HLmuOy84rYNVhf80/O7wCn2irlkMFqlQ0Z8PJa1gYGwCgo61Fu/pOqFTFBbJ1tP9cELN70xq0rvOo/pJKBZk5+ZgaFZ+jY4OqJXdBhCgnPlnyC5nZORz29OXgGR+OeV3kx017+PSHtZpj7t6PZdHa7UDxxERefj7vL1jJT1t+Z9nG3ZrjsnNy+XHTHs0/vx04+URbztUq4+Roh29AYPH758r2AFhbmaOro0NObt5fZhzRuxP/mzgclVpNXn4B10NuM33sILS0tLgeepuWjeth8tgYLMSrYv+Pn5GXnUng+aPcPHeYIO8TnN32Ewd++kJzTHLMXU5uLP7eaueCWRTm57H3+w/x3LGKM7/9qDkuPzebs9t+0vxz6cj2J9qydXKmgoMTF/aux8jMAgBtbZ0/ZarXpgc1m7bRPPY7sJnaLbtoHru6d/rTa0TZJRMRQihk9KA+bNm9n8MnPenVuR3pGZmYmZpw5XqQ5hgtLS0eVnFRq9XcCA4jNS0dc1MTUlLT/nOG/Lx85n74Ds0aN+DqjSCyc3L+9tio6Fjux8Rx6ORZLly6+pcrKIQo74a3a8AOz+sc8w+nW1Nn0rNzMTXUJ+BOjOYYLS14WFxJrVYTGBlPWlYOZkYGpGb+fR96mvXHLlOvqh3V7Kw4cSWcu/GpBEbGczG0uPDemWu3adeg+lPPkZtfiEr1qOxTfmEhn43uhFstR67dicXYQI+PhrenkrU5OX+xgkLrz9+vCPHSGNm7I78dOM2Rcxfp0bYZ6ZnZmBkbcTX4luYYLR4bc1FzMyyC1PRMzEyNSUnP+MdtThvZlx+37ONmWAR6erp/+vPcvHxUD4rsAnw0dSQzxg7gSmAY2Tm5ZOfkMmVYb25HxZCc9s/bF6K8G9amDju8gjh+9Q7dGtcgPTsfUyM9rt2J1xzz//ttYFQiqVl5D8bk3H/cZlJGNoNb1aZeFRtOBNwBYEbf5rSr70RMcuafxtr/z9LEgA8Ge2Cop0Nyxr97TyBEeTeyT2e27j/BEU8/erZrQXpmFqYmxlwNCtccU/w5t7gvqdVw47Ex99+MeUe9LnL3Xiw3wyLwCwjizZH9mTVhKPkFBQTfjvzTmKtWq/l2zVZG9OqEibEhI/t2ZuVv+7gbHYe+nt5/vwhClFNuPYZz6ch2Ai8co07r7uRmpWNgbMq9kIDHjnq8/6qJuRVITkYqhiZmZKen/uM2M1MSadptKI616hHkfYyCvNwn+uvjCvJyiQq6SpD3cWJuBZIaf/9f/JRCSX/+VCSEeCHq13Fh8ar1NK5fB21tbW4Eh1LbuQaFhYWaYxxsKxJ2O4KdfxwhOSWN+rWdcbCrSG5ePvVcHxUIMzYyYsaksc9sMyj0Fic8L3AtMISqlStRUFjI96t/5U5kFKMG9eHDuYtZ9s0czfHHz17gZnAYP23YyrTxo1j4+QdERN3H+I/DmJuZklwCkyFClCV1q9qybN8FGtZwQFtbi6DIeFwq21BY9OiNkJ2lGeHRSew5f5PkjBzqOtlib2VGXkEhtZ1sNccZG+jxZm/3Z7a5Yr8P3kGRtK5XlaiEVD4e0QGAsPtJNHcpvstyz/lAFk4qXo105FIodZ1s6dnchYW7zpGSmcOckR1ZuMuTmf1bYW5SfPdWQaGKH/f7cDcuhaFtG/DTAV8Ki4qISc7AUF+X1Yf8mNqrBTUdK7DyoC8GerpYmBiSlvXPv7gRoqyr71yN73/dTePaNdHW1uZmeASu1atQ+NhWK/YVrQiPvM+uo+dITs2gnnM1HCpWIC+vgLo1H93VbGxkyPTR/Z/ZZkFh8ReWjrbWdPFoQtCtSE56X+F66B2cHO1Y+dt+3h0/GAuz4hWJ63YfIT4pFR0dHYyNDOnb0YMVW/+goLAQK3NTMrKyS/7CCFGG1XWqyPIDl2hY3bZ4TI5KxLlSBQqKHvVbOysTbsWmsNc7hJSMXOpWscHe0oTcgkJqV7HWHGdsoMcbPZ9dlHJi18asPupPdm4h03q7seXMDZIzc7gVk8LgVrVZtNeHGX2bY/5g1cSlsGguh8ego63NtF5uJKZns/qIPzn5hViaGP5pFaIQr4L6LtX5fsNOGtepVfw5NyyC2jWcKHjsc659xQqE3b3HriNnSE5Np75zNRxsrYs/59aqpjnO2MiQ6WMHPbPNz956DYCQiChaNKrDriNnuB0Vw73YBKpVsmfeqs289/pwzZj7vwUryczOwdTIkEZ1aqJSqcnPL6BFw9rUruH0tKaEeKk51qrH6S1LqezSCG1tbWJuBWJXzYWiwkc3spnb2JMQFc6VE3vITk/GoWZdzG0cKMzLw6FGHc1x+obGtB8x7Zltthk8Gc/tK8nPzabDyOkcW/cdncbOxMi0eJVExI2L3L1xCW1tHTqMms7g9xcBEH83DEvbSiV8BURp01I/nMYSQpQIf39/3Nzc8Dm0nSYN6iodB4D/fbGAtyeNpWplx6ceFxOXgINdxec+79Y9+zE2MmJAzy5PPe7K9UBa9hrO5cuXadr02R8ChShpD/vl6QUTaVTDQek4AHy84Rhv9m5BlYqWJXK+2JQM7K3M/vN5dnhex8hAj77utZ95bMDtGDrOXit9WyjmYd/22vo9TerUUjoOAB8s+pnpo/rj5Gj71ONiEpJxqFjhuc/728HTGBsa0L/z07dFvBIUTptRs6RfijLtYd89OXc0jarbKR2HTzad4Y0eTalS0fypx8WmZGJvZfrc593hFYixgR59mjs/9biAO3F0nrNF+q0o0x722/PbfqRJ3af/nX5RPvhuFdPHDMTJ8em/R2ISknCoaP3UYx7nc/UmPlcDeWf80KcedyUwjNYjpkvfFWXaw7777oYzVHZtrHQcjd9/+Ih2w9+kgsOTk3/pibGY29g/93lCfE+RdD+CVoNef+ax90KusmR8B+mzCpKtmYR4wUqyCPVDXy/5SXPevzr/oi9mayYh+o59g+VrN/PtsjX8fri4yN/DmhKPT0Js3PG7pqj137XZqY3HMychhHgZlGSR6ofMjQ34fu+F5zr/0G9+Y9VBPxbv9mK/b3Gh2/9fc8LeyoytpwM02zn9lW93nCUu5enbqg1r1+C5JiGEKA9Ksgj1Q9+s2qo571+d/7v/TdZMQgx463NWbP2D737Zzr6Txf39YU2JxychNv1x4m+LWD9ss6N742dOQgjxMijJItQPLdh9QXPevzr/N2M7aCYhhi/Yw+oj/iz53ZcDF8MANDUlHp+E+O3sTS6FRT+1zfb1qz5zEkKIl0VJFqF+aO5PmzTn/avzf/fBG5pJiP5vfsKKzXtZsGYrv5/wAtDUlHh8EmLTvmP4BQT96VyPt1mtssMzJyGEeFmVRuHnI7/M59i67zjz248c+XkeqqIiKtdu/KdJCICja/++UPzj9SkecnXv9FyTEKJskK2ZhChlFy5e4YTnBSpaV2DCiOJlpWnpGWze/Qf3ouPo36MTsfGJhN2OwNHejjbubiz9eSOuNaszcmBvzM2KP/DsO3KSu/cefdgZMaAXtjaP3lBVcbDH0/ui5vG8H1ZhZWlB5P0Y5n08C60HG8A7VXbk7YljAHjj/c8Z0LML5y9eoY17Mw4cP03orQjNNk+79h/lzHk/XGpWw8GuIvuPncbEyIjO7TwIvRXBzv1H6Ne9E8t+2UR1p8oUFhbi0awxB46doZKDHW+8NqJ0L64QpcQnOIrTAbepaGHCmE6NAUjPymWb53XuJ6bTu4UrcamZ3IpOwqGCGa3qOrFivy8ulWwY0ra+ZsuGg34hRCakas47pE19Klo8Kgxfydqc8zfvah4v3HUOK1MjohLS+GJMJ02/rVLRgjd6twBgxsoD9HWvjU9wFK3qOHH4Uijh0Um82ad4G6jfLwRx7kYEtRytsbcy4/DFUIwN9ejQsDrh0UnsvRBI7xYu/HTAj2p2lhQWqWjhWpkjl0JxtDZnYvdmpXlphShV3lcDOel9hYoVLHltQFcA0jKy2HrgFPfiEunX0YPYxGTC7t7H0daaNk3rs2zz77hWq8zwXh0wNzUGYP9pb+5GP9qHfljP9thWsNQ8rmxvw7lLjyYDv12zDSsLMyJj4pk7c/yjMdfBlrdG9QNg2pfL6N+5Fd5XAmnTtB4Hz/oRFnGf6WOKt3nafcyLsxev4Vy1Eg4VrTlwxgcTI0M6tWxMaMR9dh87R98OLVm+ZR/VK9lRWKSiZaPaHDzrRyU7a6YM612q11aI0uIbcp/T1+9S0dyY0R3qA5Cencf2c4HcT8qgd/NaxKVmcSsmBQcrUzxqV2bl4cvUcqzA0Fa1MXsw5h66FE5kQrrmvINb1aaihbHmcSVrM84HRWkeL9rrg5WJIVGJ6Xw+sq2m31a2MWdqj+K7JGf+fIw+zZ3xDYmmVe3KHPG/RXhMimabp999QzkXGEUtByvsrUw5fPkWxgZ6dKjvRHhMCr/7hNDLrRarjlymakULClVqWjg7cMT/No4VTHm9a+NSvbZClCbvKzc5ceEyFa0tGT+weAvRtIwstu4/wb3YBPp1bkVMQjLhD8dctwYs27gHl+qVGdG7E+amxe+J/zh1gcj7sZrzDuvVCVtrS83jynYVOXfpmubx/NVbsLIwIyo6nrmzJj4acx1teWvMQADe/Px7BnRpw4UrN2jj1oADZ7wJi7jH2w+2edp9zJMzfldxqVYZB1trDpz2xtjIkM4tmxIWcY/dR87St1Mrlm/aQ/XKDhQWFdGyUV0OnPGmkl1Fpo7oW6rXVogX6U6ADyF+pzC1qoh73+LvgnIy07h0eBupcfdp0L4P6UmxJETewqKiAzUat+LsthXYVnXBrftQDE2KJ/Kvnz1Ackyk5rxNuw3FrMKjm11b9n8Nc2s7Ak7vI8TvFHcCfGjWYzg+f2wkKy0ZYzNLPAaM537YdS7sWUfivdv0euNT9q/4HOtK1VAVFWJfvQ73gq9yO8CbuDsh5GSmk5WaSOdx73J49Vzsa9ahVtM22FVzfbEXUTw3WREhRCnbuf8IH8+cypvjR2JoWPxBKTsnl6IiFZUd7Th1zof6tV3Q0dElISkZOxtrqjg6kJqWTl7+8+8r+9rwgfy29yCFBcV7b8bEJ/Lm+JEYGRqQmJzyzNc/LFRdwdIC70tXAejdtQOz357MyXM+bPv9ENWdKuNob0fY7bu41KzG0L49SExKeaKAdo2qVbC0NCcjM5Pc3Lx/eLWEKBt+vxDI+0PaMqlHMwz1i+fss/MLKFKpqGRjztnrd6jnZIuOjjaJ6dlUtDClckULUrNyyC8ofMbZHxndqRE7zl2n4ME+9XEpmZo2k9KfvR98dn7xXp2Wpkb4Bhd/udKjmTPvDmrD2Wt32O11g6p2ljhUMONWTDK1HK0Z2KouienZTxTYrm5nhYWJERnZeeTmP39+Icqa3UfP8eHkEUwd3htDA30AsnPzKFKpqGxnw2nfq9R3roaurg6JKenYWltSxb4iqRmZ5OX/uYj73xnbvyvbDp3R9N3YxGSmDu+NkYE+iSnpz3h1cSYAKwtTvK8W32ndq30L3p84jNO+Aew4fJbqle1xsLUm7G40LtUqMbhbWxJT0p4ooF29sgOW5qakZ2aTmyd70Yvy6XefEP43sCUTuzV+NObmFVCkUlPJ2oyzNyKpW8WmeMzNyKGihTGVrM1Iy8ol77E6L88yqn09dnoFUfigxkRcapamzaTnKCyd82B8tDQxxC+k+Oag7k1qMKu/O2dvRLL7QjBVbS1wsDLlVmwqtRysGNDSlcSM7CcKaFezs8TCxICMnHwZc0W5tuvoWT6aOpo3RvR7bMzNpaioiMr2FTnlc4UGLtXR1dEmMSUNW2srqjhUJDX9n4254wZ257cDJx+NuQnJmjYTU55dszA7t7j+mZW5Gd5XbgLQq707H0weySmfK2w/dJpqlR1wtLUh7O49nKtVZnCP9iQ8NuYmp2VQvYoDVuZmZGTJmCteLldO7qHrhA9oM2QyegYP6g3m5qAqKsLSrhKhF8/gULM+2jq6ZKYmYlbBFiu7yuSkp1L4D76zelLxBKJKpSI/NxszKxvuBHgDYOtUi1aDXkdLR4fIwMtPFMK2rVqLyrUbU6ORB4EXjmJqZY2JpTXJMRFUqduEvOxM8rKzSuKyiFIiKyKEKGVD+/Zg3tLV2FW04bVhAwC4e+8++fn5GBoaUqRSERufgLGRITdDwrkfG4+hgT5xCYkkpaRS0bp464b+PTo/tR0tLS2mTRhJz5FTAHCwtWHlht/Iyc3TnAMg8l40y9duJisrmx6d2mqeDwq9hZ6uLiqViqIHH9AOHj+Dz6WrdGzdAkd7O85e8MPK0oImDRphoK/P+t92M2pw3ycKaEfHxmNiZERw+G2ycnI0ky9ClCcDWtVl4a5z2FmaMqpjIwAi49PILyjCUF+LIpWKuNRMjA30CIpMICY5HUM9XeJTMknOzMHmwaqH3i2efieGFlpM6dmcgV9tAcDOypRfjlwiN79Qcw6AqIQ0Vh30Iys3n65NH+2DHxyVgJ6uNiq1miJVccmnI5fC8Au5R9sG1XCoYIbXjbtYmRrRqLo9+ro6bDp1heHtGjxRYDsmOQMTQz1C7yWSnZev+SJIiPJmcPe2fPvzNuysrRjbv3jrwMjoePLyCzAy0C8ecxNTMDY0IDD8LtHxScVjblIKyWnpVKxQXBSvb0ePp7ajpaXFGyP60OeNTwGwt6nA6u0HycnL15wDIDImnhVb/yArO4fubR6tNgq6FYmerg4qlZoilQqAQ2f98A0Ion2LhjhWtMbz0jWszM1o3KgmBvp6/Lr3GCN7d3yigHZ0QhImRgaE3L5HVk6u5osgIcqTAS1dWbTXB1tLE0a1qwdAVGI6+YWFGOrpPhhzszDW1yXoXhIxKZnFY25aFimZudiYF6966NXs6XVitLS0mNy9CYPn7wLAztKEtceuFo+55o9WTtxLTGf1EX+ycgvo2ri65vnge4no6uigfmzMPXrlNhfDYmhbzwkHK1O8AqOwNDWkYTVb9HV12Hz6OsPa1H2igHZMciYmBnqERieTnVcgY64ot4Z0b8/81Vuws7Fi3IDuAERGx5FXUICRtjZFRSpiE5IxMjQkMDyC6PhEDAz0iUt8OOZaAtCv09O3HdTS0uLNUf3pM/lDoLjQ9aptf5Cbl685R3Hb8azYvJfM7By6t22ueT4o/G7x51z142OuLz5XA+ng3hhHW2vO+gVgZWFG40Z1MdDXY8OeI4zq0/mJAtrR8UkYGxkScidSxlzxUmnSeRDH13+HmbUdLXqPBiA5JpLCgnz0tA1RqYrISIpF39CImNtBpCXEoKtvSHpSPFlpyZha2QDQoH2fp7bjs+9X9I2Myc1Mp9vrs7nheZCC3GxSYiKp5NqIoqLiyfn4u2Fc2LMOVWEBTnXdCLxwXFMI28TCmriIEMIue9KgXW9yszIwMDLBoqIjt696o6WlTULULZzqSv2HskqKVQtRwspisWqlSbFqobSyWKz6ZSDFqoXSymKxaqVJsWpRHpS1YtVKk2LVojwoi8WqlSbFqkV5UFaLVStBilUrT7ZmEkIIIYQQQgghhBBCCCFEqZGJCCGEEEIIIYQQQgghhBBClBrZkFKIUhIcflvpCGWGXAtRVoTeT1Q6wktFrqcoK0Lu3FM6Qpkh10KUJ6HRyUpHKBPkOojyJOROlNIRygy5FqI8iYsIVTqC4uQaKE9qRAhRwiIjI6lTpw7Z2dlKRylTjI2NCQoKwsnJSeko4hUUGRlJndq1yc7JUTrKS8fYyIig4GDp20IRMub+NRlzRVkn4/KfyXgqyjoZc/+ajLmirIuMjKR2nTrkSN8FwMjYmGDps4qRiQghSkFkZCSJif/tTmF/f3/efPNNevbsyeeff46WllYJpXu2oqIi3n//ffz8/Fi/fj3Ozv+9GJmNjY38oheKKol++SyFhYW8/fbbBAUFsWHDBqpVq1aq7f1/fn5+TJ8+nf79+/Pxxx+/kN8b0reF0kqib3t6ejJr1izGjRvHzJkzSyjZ8ykoKGDatGncvn2bDRs2UKVKlf98TumXojz4r303JyeHKVOmEB8fz8aNG7Gze7FFr0+dOsX777/PxIkTmTZt2n8+n/RbUR6UxJh74MABPv/8c2bMmMFrr71WQsmeT3Z2NhMnTiQtLY2NGzdiY2Pzn88pfVeUB/+172ZkZDB+/HiKiorYsGEDlpaWJRfuOezZs4dvvvmG9957j1GjRv2nc0mfVZZMRAhRBoWHh9OyZUsaNGjA0aNH0dfXf+EZsrKyaNu2LYmJifj6+uLg4PDCMwhRnqjVaqZOncr69es5fvw4HTp0UCTH2rVrmTRpEkuWLGHWrFmKZBCiPLl69Spt2rSha9eu7N69G23tF19CLSkpCQ8PD3R0dLhw4QJWVlYvPIMQ5YlKpWLYsGEcPnyYc+fO0bRpU0VyfPfdd8yePZtff/2VcePGKZJBiPLE09OTLl26MG7cOH7++ecXerPdQ/fu3cPd3Z1KlSpx5swZjI2NX3gGIcqTgoICevbsyZUrV/Dx8SmRG1X/jQ8++IBFixaxb98++vbtq0gG8d/JRIQQZUxKSgotW7YEwNvbmwoVKiiW5f79+7i7u+Pg4MDZs2flTZoQT7F48WL+97//sW7dOiZMmKBolg8//JDvvvuO33//nX79+imaRYiyLDo6mhYtWmBvb8/Zs2cxMTFRLEtYWBgtW7akcePGHDlyBD09PcWyCFHWffTRRyxYsIC9e/fSv39/xXKo1WomT57Mxo0bOXHiBO3atVMsixBlXXh4OO7u7jRu3JjDhw8rcrPdQ/7+/rRt25aePXuyY8cORW5CEKI8UKvVTJkyhV9//ZXjx4/Tvn17xbKoVCoGDx7M8ePH8fLyonHjxoplEf+eTEQIUYbk5+fTo0cPAgIC8PX1pVatWkpH4sqVK7Rt25bu3buzc+dOeZMmxF/4/fffGTRoEB9++CHz5s1TOg4qlYqhQ4dy5MgRRe8UFaIsy8rKol27dsTHx+Pr64ujo6PSkTh79ixdu3ZV9E5RIcq6devWMXHiRBYvXsy7776rdBzy8/Pp2bMnV69eVfROUSHKsuTkZDw8PNDS0sLb27tMrPzbt28fAwcOZPbs2cyfP1/pOEKUSYsWLeL9999nw4YNL3wrtb+SlZVF+/btiY2Nxc/Pr0y8fxf/jExECFFGqNVqJk2axKZNmzh58iRt27ZVOpLG/v376d+/Px988AHffvut0nGEKFMuX75Mu3bt6NWrF9u3by8zk3XZ2dm0b9+e6Oho/Pz8qFSpktKRhCgzioqKGDx4MCdPnsTLy4tGjRopHUnj119/Zfz48Xz33Xe8//77SscRokw5ffo03bp1Y+LEiaxcubLMTNalpKTg4eGBSqXCx8dH0RXNQpQ1+fn5dO/enevXr+Pr60vNmjWVjqSxZMkS3nvvPdauXcvrr7+udBwhypS9e/cyePBgPv74Y+bOnat0HI3o6Gjc3d2xtbXF09NT0RXN4p+TiQghyogFCxbw4YcfsnHjRsaOHat0nD/54YcfmDVrFr/88gsTJ05UOo4QZcK9e/do0aIFVapU4cyZMxgZGSkd6QkxMTG4u7tjY2ODp6cnpqamSkcSokx4//33WbJkCX/88Qe9e/dWOs6fzJkzh3nz5rFr1y4GDRqkdBwhyoSQkBBatmxJ8+bNOXjwYJnbvuzWrVu4u7tTv359jh07pui2M0KUFWq1mokTJ7JlyxZOnjxJmzZtlI70BLVazZtvvsnatWs5duwYHTt2VDqSEGXC5cuXadu2LX379uW3334rMzfbPRQQEECbNm3o3Lkzu3fvRkdHR+lI4jnJRIQQZcCuXbsYOnQon376KV999ZXScf6SWq3mrbfe4ueff+bo0aN06tRJ6UhCKCozM5M2bdqQkpKCr68v9vb2Skf6S9euXaN169Z06tSJPXv2yJs08cpbs2YNU6dOZenSpcyYMUPpOH9JpVIxcuRI9u/fj6enJ82aNVM6khCKSkxMpGXLlhgYGHD+/HksLS2VjvSXvLy86Ny5MyNHjmT9+vVlZsWGEEr59ttv+eijj9i8eTOjR49WOs5fKigooHfv3ly8eBEfHx9cXV2VjiSEoqKionB3d8fJyYnTp0+XuZvtHjp48CD9+vXj3XffZeHChUrHEc9JJiKEUJifnx/t27dnwIABbN26tUx/YCksLKR37974+fnh7e1N7dq1lY4khCKKiooYMGAAZ8+e5fz58zRo0EDpSE916NAh+vbtyzvvvMPixYuVjiOEYk6cOEGPHj144403WL58eZkec3NycujYsSN3797Fz8+PKlWqKB1JCEXk5eXRpUsXQkJC8PX1pXr16kpHeqotW7YwZswY5s2bx0cffaR0HCEU8/Bmu88//5wvvvhC6ThPlZqaSuvWrcnLy8PHxwcbGxulIwmhiIyMDNq2bUtqaiq+vr7Y2dkpHempli1bxsyZM1m9ejVTpkxROo54DjIRIYSCIiMjadGiBTVq1ODUqVMYGhoqHemZ0tLSaN26NTk5Ofj6+sqbNPFKmjVrFsuWLePgwYP06NFD6TjP5ccff+Ttt99m5cqVvPHGG0rHEeKFCwwMpFWrVnh4eLB//350dXWVjvRMcXFxuLu7Y2FhgZeXF2ZmZkpHEuKFUqvVjBs3jp07d3L69Gk8PDyUjvRcvvjiC7788kt27NjB0KFDlY4jxAv38Ga7gQMHsmXLljI98f/QnTt3cHd3x9XVlRMnTmBgYKB0JCFeqKKiIvr378+5c+e4cOEC9erVUzrSM6nVat5++21WrVrFkSNH6NKli9KRxDPIRIQQCklPT6dNmzZkZGTg6+uLra2t0pGeW0REBO7u7jg7O3Py5El5kyZeKStXrmTatGmsWLGCadOmKR3nH5kxYwY//fQTBw8epHv37krHEeKFiY+Pp2XLlpiYmHD+/HnMzc2VjvTcbt68SatWrWjTpg379u0rFxMoQpSUr7/+ms8++4xt27YxfPhwpeM8N7VazejRo9m7dy9nzpzB3d1d6UhCvDB3797F3d2dmjVrcvLkyXJxs91D3t7edOzYkaFDh7Jx48ZyMYEiREl55513+PHHH8vdZ8XCwkL69u3LhQsX8Pb2pm7dukpHEk8hExFCKKCwsJB+/fpx/vz5cvuL0tfXlw4dOjB48GA2bdokb9LEK+HIkSP06dOHt956i6VLlyod5x8rKiqiX79+eHl5lZu7XIT4r3Jzc+nUqRO3b9/G19eXqlWrKh3pHzt27Bi9evUqt797hPg3fvvtN0aNGsVXX33Fp59+qnScfyw3N5fOnTsTHh6Or68v1apVUzqSEKUuPT2d1q1bk5WVha+vLxUrVlQ60j+2fft2RowYUW5/9wjxb6xYsYLp06fz008/8eabbyod5x97/HePj49PubrR91UjExFCKODh9iiHDx+ma9euSsf513bs2MHw4cP58ssv+eyzz5SOI0SpunHjBq1ataJdu3bs27ev3BZ9zsjIoHXr1qSnp5eLfT+F+C/UajWjRo3i999/5+zZs7Ro0ULpSP/aw9VYy5cvZ/r06UrHEaJUXbhwgU6dOjFs2DB+/fXXcnvDS0JCAu7u7hgbG3P+/HksLCyUjiREqXl4V7K3tzfe3t7UqVNH6Uj/2ty5c/n000/ZunUrI0eOVDqOEKXqyJEj9O7dm5kzZ7JkyRKl4/xrD1djlaetz19FMhEhxAu2fPlyZsyY8dIU05k3bx6ffPIJW7ZsYdSoUUrHEaJUxMbG4u7ujpWVFefOnSv3+7RHRkbi7u5OtWrVOHXqFEZGRkpHEqJUfP7553z11Vfs3LmTIUOGKB3nP3v33XdZunQp+/fvp1evXkrHEaJU3L59m5YtW1K7dm2OHz9e7rcADQoKwsPDg5YtW3LgwAHZXk28lNRqNdOnT2fNmjUcOXKEzp07Kx3pP1Gr1bz22mvs2LGDU6dO0apVK6UjCVEqrl+/TuvWrenQoQN79+4ttzfbPfSwPs2AAQPYunVrub2R4WUmExFCvEAHDx6kX79+zJo1i0WLFikdp0So1WomTJjAb7/9xqlTp2jdurXSkYQoUTk5OXTo0IGoqCh8fX2pUqWK0pFKxMWLF2nfvj39+vVj69ataGtrKx1JiBK1efNmxo4dy/z58/nwww+VjlMiioqKGDhwIKdPn+b8+fM0bNhQ6UhClKjU1FRatWpFQUEBPj4+WFtbKx2pRJw8eZIePXowefJkVqxYIV+MiJfOsmXLmDlzJmvWrGHy5MlKxykReXl5dO3aleDgYHx8fKhRo4bSkYQoUQ9vtqtQoQLnzp3D1NRU6UglYteuXQwdOpTPPvuML7/8Uuk44v+RiQghXpCAgADatGlD586d2b17d7mfaX5cfn4+3bp14+bNm/j4+FCzZk2lIwlRIlQqFSNGjODgwYN4enri5uamdKQStWfPHgYPHsycOXP4+uuvlY4jRIk5d+4cXbp0YfTo0axdu/al+tIvMzOTtm3bkpSUhJ+fH/b29kpHEqJEFBQU0KtXLy5fvoy3tzeurq5KRypRP//8M1OmTOGHH35g5syZSscRosQcOHCA/v3789577/Hdd98pHadEJSUl0bJlS/T09Lhw4QKWlpZKRxKiRGRnZ9OhQwfu37+Pr68vlStXVjpSifr222/56KOP2LRpE2PGjFE6jniMTEQI8QLExMTQokULbG1t8fT0xMTEROlIJS4pKQkPDw90dHS4cOECVlZWSkcS4j/75JNPmD9/Pnv27GHAgAFKxykV3333HbNnz+bXX39l3LhxSscR4j8LDw+nZcuWNGjQgKNHj6Kvr690pBJ379493N3dqVSpEmfOnMHY2FjpSEL8J2q1mqlTp7J+/XqOHz9Ohw4dlI5UKj744AMWLVrEvn376Nu3r9JxhPjPrl69Sps2bejatSu7d+9+KVfYhoaG0rJlS9zc3Dh06BB6enpKRxLiP1GpVAwbNozDhw9z7tw5mjZtqnSkEqdWq5k0aRKbN2/mxIkTtG3bVulI4gGZiBCilGVlZdG+fXtiY2Px8/PD0dFR6UilJiwsjJYtW9K4cWOOHDkib9JEubZhwwYmTJjAokWLeO+995SOU2rUajWTJ09m48aNnDhxgnbt2ikdSYh/LSUlhZYtWwLg7e1NhQoVFE5Uevz9/Wnbti09e/Zkx44dL+WXP+LVsXjxYv73v/+xbt06JkyYoHScUqNSqRg8eDDHjx/Hy8uLxo0bKx1JiH8tOjqaFi1aYG9vz9mzZ1/Km+0eOnv2LF27dmX8+PGsXr36pVppKV49H330EQsWLGDv3r30799f6TilJj8/nx49enDt2jV8fHyoVauW0pEEMhEhRKlSqVQMGTKEY8eOvTIfNh6+SRs3bhw///yzvEkT5dKZM2fo1q0bEyZMYNWqVS/93+P8/Hx69uzJ1atX8fHxwdnZWelIQvxjDz9sBAQE4Ovr+0p82Ni3bx8DBw5k9uzZzJ8/X+k4Qvwrv//+O4MGDeLDDz9k3rx5Sscpda/STUri5ZWVlUW7du2Ij4/H19f3lfh7/KrcpCRebuvWrWPixIksXryYd999V+k4pS4lJQUPDw/UajU+Pj6yc0cZIBMRQpSi2bNna5Zf9+nTR+k4L8yvv/7K+PHj+e6773j//feVjiPEP/KqLr9++CZNpVLh4+PzUt9JLl4+D5dfb9q0iZMnT75Sy6+XLFnCe++9x9q1a3n99deVjiPEP3L58mXatWtHr1692L59+yuzsic6Ohp3d/eXettW8fIqKipi8ODBnDx5Ei8vLxo1aqR0pBfmVdi2Vby8Tp8+Tbdu3Zg4cSIrV6586W+2e+jhtq0NGzbkyJEjL+W2reWJTEQIUUpe9YJ0c+bMYd68eezatYtBgwYpHUeI55KYmIiHh8crW5Du1q1buLu7U79+fY4dOyZv0kS58bAg3caNGxk7dqzScV4otVrNm2++ydq1azl69CidOnVSOpIQzyUqKgp3d3eqVKnCmTNnMDIyUjrSCxUQEECbNm3o3Lkzu3fvRkdHR+lIQjyX999/nyVLlvDHH3/Qu3dvpeO8UCqVihEjRnDw4EE8PT1xc3NTOpIQzyUkJISWLVvSvHlzDh48+MrcbPfQuXPn6NKlC6NHj2bt2rWvzCRMWSQTEUKUghMnTtCzZ0+mTJnCjz/++Er+klOpVIwcOZL9+/fj6elJs2bNlI4kxFPl5eXRtWtXgoOD8fX1pXr16kpHUoSXlxedO3dm5MiRrF+//pX8/SXKl127djF06FA+/fRTvvrqK6XjKKKgoIDevXtz8eJFvL29qV27ttKRhHiqjIwM2rZtS0pKCr6+vtjb2ysdSREHDx6kX79+zJo1i0WLFikdR4hnWrNmDVOnTmXp0qXMmDFD6TiKyMnJoWPHjkRGRuLr60uVKlWUjiTEUyUmJtKyZUsMDAw4f/78K3ez3UObN29m7NixzJ8/nw8//FDpOK8smYgQooQFBQXh4eGBh4cH+/fvR1dXV+lIinn4Ju3u3bv4+fnJmzRRZqnVal577TV27NjBqVOnaNWqldKRFLVlyxbGjBnDN998w8cff6x0HCH+lp+fH+3bt2fAgAFs3br1lZ44S01NpXXr1uTm5uLr64uNjY3SkYT4S0VFRfTv3x9PT0/Onz9PgwYNlI6kqGXLljFz5kxWrVrF1KlTlY4jxN86ceIEPXr04I033mD58uWv9JgbFxeHu7s7lpaWnDt3DjMzM6UjCfGX8vLy6NKlCyEhIa/0zXYPff7553z11Vfs3LmTIUOGKB3nlSQTEUKUoISEBNzd3TExMeH8+fOYm5srHUlxD9+kWVhY4OXlJW/SRJk0d+5cPv30U7Zu3crIkSOVjlMmfPHFF3z55Zf8X3v3GR9F9TVw/Je+m957I4UOoYdO6L1XsWEDVFCx9we7f1GxoSAqFkB67z1ACAk9AdJ7Tza9bLLJ7j4vlmyIgCAmblju942fgdk7hznu3Zm5c+9Zv349M2bM0HU4gnCDtLQ0goOD8fPz48iRI0gkEl2HpHMpKSkEBwfTunVrDh8+jJmZma5DEoQbvPDCC3z77bfs3r2bUaNG6TocnVOr1SxcuJDly5ezd+9ehg8fruuQBOEGV69epW/fvuJlu+tcvnyZvn37MnDgQLZv3y6WVxNaHLVazSOPPMLGjRs5evQoffr00XVIOqdWq3nwwQfZunUroaGh9OrVS9ch3XfEQIQgNJHq6mqGDh1KYmIikZGR+Pj46DqkFuPKlSv07duX/v37s337dnHhKrQo69at44EHHuD999/nnXfe0XU4LUb9RdqWLVs4duwYvXv31nVIgqBVVlZGv379qKioICIiAmdnZ12H1GKEh4czePBgpk2bxh9//HFfv7EqtDzLli1jwYIFLFu2jGeeeUbX4bQYdXV1jB8/nlOnThEeHk779u11HZIgaOXn59O7d2/xst1N7N+/n7Fjx7JgwQK++uorXYcjCI188MEHvPvuu6xbt46ZM2fqOpwWo7q6miFDhpCcnExERIR4dvcfEwMRgtAErh9VPXbsGMHBwboOqcWpv0h79tln+frrr3UdjiAADQ/spk+fzu+//y4e2P3F9QOsERER+Pr66jokQRAP7O7A+vXrmTVrFu+99x7vvvuursMRBAD27dvH2LFjWbhwoXhgdxNigFVoicQDu9v74YcfeOaZZ/juu+949tlndR2OIADw559/Mnv2bD744APefvttXYfT4ojVTHRHDEQIQhOoX8Jkw4YNTJ8+XdfhtFj1F2nffvstCxYs0HU4wn2ufgmTNm3acOjQIbGEyS3UX6SZm5sTFhaGjY2NrkMS7mNqtZoFCxawYsUKsYTJbdQvObdmzRpmz56t63CE+1x0dDT9+vUTS5jcRv2Sc61ateLIkSNIpVJdhyTcx9RqNbNnz2bbtm1iCZPbWLRoEd98841Yck5oEU6dOsWQIUOYMWMGv/32m3jZ7hbEknO6IQYiBOFfqi/q+vHHH/PGG2/oOpwW78UXX+Trr79m586djBkzRtfhCPepkpIS+vbti0Kh4PTp06Ko623ExMTQp08fgoOD2b17t7hIE3SmvqjrihUrmDt3rq7DadHUajWPPvoo69ev58iRI/Tr10/XIQn3qdzcXIKDg7GzsxNFXe9AZGQkgwYNYuLEiaxduxZDQ0NdhyTcp0RR1zunVCqZNGkSoaGhhIWF0alTJ12HJNynkpOT6d27N23btuXgwYPiZbvbOHToEKNGjWLevHl89913YtDmPyAGIgThXzh58iRDhw5l9uzZ/PLLL6LTugNKpZLJkydz9OhRwsLC6Ny5s65DEu4ztbW1jB07ljNnznD69GnatGmj65DuCYcPH2bUqFE8+eSTfP/996K/E/5zu3btYuLEiSxatIjPP/9c1+HcE2pqahg+fDgxMTFERETg5+en65CE+0xVVRWDBw8mIyODiIgIvLy8dB3SPWHTpk1Mnz6dd955h/fff1/X4Qj3oT/++INHHnmETz75hNdff13X4dwTKioqGDBgAEVFRURERODq6qrrkIT7TElJCX369KGuro7Tp0/j4OCg65DuCStXrmTu3Ll8/fXXPPfcc7oOR++JgQhBuEtJSUkEBwfTsWNHDhw4gKmpqa5DumfUX6QVFhYSERGBm5ubrkMS7hNqtZqnn36an3/+mQMHDjB48GBdh3RPqb9IW7p0KS+88IKuwxHuI5cuXaJfv34MGzaMzZs3i2Vd/oHCwkJ69+6NsbEx4eHh2Nra6jok4T6hUqmYOXMme/bs4fjx43Tv3l3XId1TPv30U9544w1+++03HnnkEV2HI9xHjh8/zrBhw3jooYf4+eefxcsn/0BmZia9evXCy8uLo0ePYm5uruuQhPtEbW0to0eP5vz584SHh4uX7f6hV155hS+//JLt27czbtw4XYej18RAhCDcheLiYvr06YNKpeL06dPY29vrOqR7TmZmJsHBwbi7uxMaGiou0oT/xJdffslLL73EL7/8wmOPPabrcO5Jr776Kp9//jnbt29n/Pjxug5HuA9kZ2cTHByMk5MTJ06cwMLCQtch3XPi4uLo06cP3bp1Y+/evZiYmOg6JOE+8Oabb/Lpp5+yZcsWJk2apOtw7jlqtZonnniC1atXc+jQIQYOHKjrkIT7QGJiIsHBwXTu3Jn9+/eLl+3uwrlz5xg4cCBjxoxh/fr1Ynk1odmp1Wrmzp3Lr7/+ysGDBwkJCdF1SPccpVLJtGnTOHjwIGFhYQQFBek6JL0lBiIE4R9SKBSMGjWKS5cucfr0aQIDA3Ud0j3r/PnzDBgwgFGjRrFx40ZxkSY0q+3btzN58mRee+01PvnkE12Hc89SqVRMnTqVgwcPcuLECbp27arrkAQ9VllZyaBBg8jNzSUiIgIPDw9dh3TPOnbsGMOHD2fOnDn8+OOP4g1XoVmtWrWKxx9/nCVLlvDyyy/rOpx7lkKhYOTIkURFRREREUFAQICuQxL0WFFREX369AEgPDxcvGz3L2zbto0pU6bw+uuv8/HHH+s6HEHPff7557zyyiviZbt/qbKykoEDB5Kfn09ERATu7u66DkkviYEIQbhDcXFxPPzww3To0IE1a9aIN5OaSP3D4YULF3Lq1Cm2b98uOnyhSc2fPx83Nzc+++wzRo8ezYYNG8Sg1790/cPhGTNm4OLiwmuvvabrsAQ9cvbsWV588UXs7e05dOiQGPRqIvUPh9944w2OHDnCvn37xFJNQpOaOXMmnTp14r333uOxxx5jxYoVYtDrX7r+4XBISAjdu3dn7ty5Oo5K0CeHDh3iyy+/RC6Xi0GvJvTFF1/w8ssvs3jxYo4cOcKBAwdE4WChyajVakaPHk3//v159913xaBXE8nOzqZXr164uroSGBjI1KlTmTZtmq7D0itiIEIQ7tAnn3zC4sWLUSgUfPzxx7zxxhu6DklvvPzyy3zxxRcYGBjw448/8uSTT+o6JEFPyOVybG1tkUgkeHl5ceTIEZydnXUdll64fPkyw4YNQ6lUYmNjQ2Jioq5DEvTIyy+/zI8//kh5eTnLly9n3rx5ug5Jbzz++OOsWrUKgK1bt4olc4Qmk5eXh6urKxYWFnTo0IFDhw5hZWWl67D0Qnh4OKNHj8bU1BR/f3/Cw8N1HZKgR+bMmcPOnTspKytj9erVzJw5U9ch6QWlUsn06dPZsWMHSqWS48ePM2DAAF2HJeiJq1ev0qFDB0xNTRkwYAC7d+8WA11NZP/+/UyePBkLCwuCg4PZtWuXrkPSK+KVUEG4Qxs2bEChUGBiYsLy5csRY3hNQ6FQ8NNPP2FqaoparWb9+vW6DknQI0ePHkWhUFBRUcGVK1c4evSorkPSG5s3byYvL4/CwkKSkpLIzMzUdUiCHtm0aRPl5eWYmJiwYsUKXYejN4qLi1mzZo32RnXDhg06jkjQJ/U36tXV1URGRhIREaHjiPTH2rVrKS0tpaCggIiICCoqKnQdkqBHduzYQVFREWq1mp9//lnX4eiNjIwMtm3bhpGREaC5dhaEprJt2zZAMzPi8OHDXL16VbcB6ZFff/2VmpoaZDIZhw4dQqlU6jokvSIGIgThDsXGxiKRSHj99dcJDw8X08ybiKmpKRcvXmThwoWYmJhw9uxZXYck6JGdO3cC0L9/f/bv38+MGTN0HJH+ePPNN1m3bh3t2rUD4MiRIzqOSNAnGRkZWFpa8t5773HgwAFdh6M37OzsiIqK4vHHH8fQ0JATJ07oOiRBj9QPRIwYMYLQ0FCGDh2q44j0x5IlS1i1ahW+vr6o1WouXLig65AEPVFdXU1xcTH29vZ8/vnnbNy4Udch6Q1fX18uXrzIAw88gIGBAQcPHtR1SIIe2bNnDwATJ04kIiJCLGHahFauXMmyZctwdXWlpqaGjIwMXYekV8TSTIJwhzIzM3FychLT3ZpRZWUlZWVluLm56ToUQU/U1taSnZ2Nj4+PrkPRa8nJybRq1UoM0ApNJi0tDXd3d0xMTHQdit4qLS2lpqZGLFcnNJnq6mpkMhmenp66DkVvqdVqUlJSxG+u0KRSU1Px9vYWNdSaUWFhIYaGhtjZ2ek6FEFPlJeXU1VVhYuLi65D0Vv1v7l+fn66DkWviIEIQRAEQRAEQRAEQRAEQRAEQRCajbGuAxDub+np6chkMl2H0ewcHR3x9vbWdRjN5n7J453Sp3yL3N5IX/IrcnsjfcktiPz+lcit/hK51V8it/pNX/IrcnsjfcktiPz+lcit/tKn3N7M/ZLveyGPYiBC0Jn09HTatG1HtbxK16E0O4nUnLjYmBbfIdyN9PR02rVrR1WV/ufxTpmbmxMTc+/nOz09nXZt21Ill+s6lBbFXColJjb2ns6v5nvblqoqkdvrmZtLiYm5t3MLIr83o1+5Fb+519Ov39w2VMmrdR1Ki2EulRATG6cfuRV98g30oV8WffLNiX5Zf+lVvyzucxvRh3vcW0lPT6dtu3bI74O+WmpuTmwL73/FQISgMzKZjGp5FQFPfYvULVDX4TQbeU4CiSsXIpPJWnRncLdkMhlVVVX8/OGLtGnlpetwdC4uJYMn3v5SL/Itk8mokstZ9lB3Al2sdB1Oi5CQV86zq8/d8/nVfG/lrHhpBm08xfrwAHGZ+cz7YsM9n1u4Lr8vTqeNl5Ouw9G5uIwC5n25UY9yW8Xib1bhG9hW1+HoXGpCLIufe0x/ciuv5tupAQQ6SnUdjs4lyOQs3JyoP7mtkrPi+cm09nTUdTgtQnymjHlfb73n81vfJ//2w1e0bR2g63BahNj4RB59+oV7PrfQ0C9/N7szgc6Wug5H5xLyK1iwNkqPcivnh7nDaO0u6nbEZxfz9I+H9CK3NyOTyZBXVRH83DKsPVvrOpxmU5YZT8Q3z7b4PIqBCEHnpG6BWPp00nUYwr/UppUXXdv56zoMoRkEuljR2ctW12EIzaCNpzNBAR66DkNoJm28nAjyF/nVR76BbWnbqauuwxCaQaCjlE7u4oGXPmrt6UiQn5uuwxCaQdvWAXQLEvez+irQ2ZLOnja6DkNoBq3d7QjyFS/t3C+sPVtj79dZ12Hc98RAhHDPytj+BS4hD2Nq07xv8xac2oSiNJ/aMhk+M97BwMAAgOwDP2JgYEBdVRleE19q1hj03UfL1/LEtNG4Ojbv2whrdx0lV1ZEQXEpH7/wmDaX7y1bjZO9DSVlFbw57wEee+sLurcPoE0rL4b37caCD76jdStPMnNlfPbyk80aoz5bsjeGR/u1wtla0qzH2XgmnbyyGmQVNfzfhA7aPAOsDE0iIa+cz2Z04b3tl3GxlhCXW8bSB7o1a0z67tO1h3hsdDAuds07c2bdkfPkFZcjK6nk/cdHa3P7zi97cLW3IjY9n2+fm8qqvRFUVivwcrZlYj/xYOBufLr2MI+N7tX8OT16gbyicmSllbz/2KiGnK7ai6tdfU6nMOuD3xnU2Z/ubbzo1dabH3eFU1mtwEJiytxxfZo1Rn2z8osPmPLwUzg4uzbrcfZuWoMsP5fiwgIWvv2JNrfLP/s/7BycKS8t5skX3+bbD97AwcWVlLirvPXFCjau+oGwQ3v4as3OZo3vfvDF0Qwe7uGCs5Vpsx5n06UC8ssVyCpreWeEjzbXP57KxsDAgLLqOl4aLGbN/lufrj/GYyN64GLXvANV649FkVdSTkFpJe8/Mlybz3d/O4iLnSWxGQV8++wElm45SW2dEgMDA16ZPvCGbeHOvf+/pcyd8yCuLs17X7t6wxZyc/PJl8n433tvNeT24yU4OTpSUlLKO6++cMP2w/Oeo0fXINq1DmDEkEHNGqO++Xx/Ao/08cbZ2qxZj7PxXBb5ZTXIKhS8O66NNrd7onNJlVVp/nx8Wz7dG4+jpSml8lpeGhHIpnNZrApLY/dzfZs1Pn30v62RzBncERdb82Y9zoawOHJLq5CVVfHezL7a3G4+nUBBaRWbTsez/fVJrD8ZR0llNYUV1Xw0uz+/HL7caFv4Zy6vX4L/iEeR2jVvv5wauhF5cR41pTKCHvk/bX7Dv3oa+4AuWHu2xq3LYBIP/E5ddSUWTp549BxFwr5fUKtU5EUdZ9DbfzZrjE1NDEQILVZ54lmKLh7AyEyKTfuBlFw+hrGlHfLcJFxDHkGem0Rh5A4cek0gbtmTuA6ZA4CiJI/aklw8xiwkfcunWAX0pLogDae+08g5+BN+D31M+pZPcRsxDxNLzYPvglMbqass0R7bJeRhDE00D0vLk87h9/An5B37g6rMq1h4dQCgOi8Fv4c/IW3zJ9RVlWJsLt6SuJWIS7HsCo3AQmrGkOAuHDx1HntbaxJSM3ly+hji07LYfOAEU0cMYPbLnzB3xhgAcgqKyCko4uXHp7H4uz/oHdSO1KxcZo8bwrI1O1j6xnwWf/cHzz08CXsbzcOyNbuOUFxarj32k9NGIzHT3IBHRsfy1RtP8/OmfUQnpNK5dSsAMnIL+L9nH+Lh1/5HaXklro52KGrrqK2tA6CmtpbKqmocba3/y9N2zzmbUsS+yzmYmxoxqI0zR2LysLMwJSm/gkf7tSIpv4LtF7KY2NWDx3+J5LH+mvOfW1ZNXmk1C4e15pPdV+nZyp70wkqm9/Tmx9AkPp0WxCe7rzI/JAA7C00uN0SmU1Kl0B77kX6tkJgYaeJILeZ/04P4PSyFq9lldPDQfDf/jEhjcFtnEvI0/3+o1Goqauqwkpj8l6fpnhQZm8ae0zFYSEwI6RLI4fPx2FuZk5BVwOOje5OQVcDWE1FMHtCZhz9ezZNjewOQW1RObmEZi6aH8MHv+wlu70NqbhGzhnTjh+1hfP70RD74fT8LJg/AzkpzEb/uyHmKyxvW73xsdDASU02OzsSm88Uzk1i1N4LLqbl0aqV5s1StVlMhr8FKakZ5VQ07T11mbJ8OGGCAcHORsensiYjBwsyEkC4BHD6fgL21OQmZBTw+JpiELBlbT0QzeUAnHv5kLU+OCQau5bSojEXTBvHBHwcIblef0678sOMUn8+fwAd/HGDBpP7X5fTCX3Laq3FOn57Iqn2RjXOqupZTc82Nu6udFVU1tajVagCGdA1kxc5TtPV2+c/O2b0i+txpju/fhdTcnF4DhhJ+7AA2dg6kJ8Uz5ZG5pCfHc2jHJoZNmMbrT81i6qPzAJDl5SDLy+GRBa/ww6fvEtSzD1npKYye+hDrf/6WVz76mh/+9y6z576AjZ09AHs2raaspFh77MkPPYWZRHP9FH0+glc//oatq1eSGBNNYHvNG2h5WRnMf/U93pr/IBVlpajUKqoqyrGw0vzGTn/saZLjrvyXp+yedTajnAOxRUhNjBjob8OxxBLspMYkFcp5pKcrSTI5Oy4XMqGjA0+uj2NOL83gU16ZgtzyWhYO8ODTw+n09LYiraiaaV2c+Ck8h4/H+fHpoXTm9XXDzlzzXd14sYASeZ322A/3cEFiYgjAuYxyPhnnxx9n8riaV0UHVwsAUoqq+WScH58cTKNUXoeNVNx6/p3IuAz2RsZhLjElJMiPwxcSsbcyJzGrkMdGdicxq5CtYVeY3K8DjyzZwJOjegKQU1RObnE5i6b054M1Rwhu60VqXjGzBnVm+e4Iljw1hg/XHOHZCX2ws9Is+7Xu2CWKKxrWRn9sRA8kppr8nInP5PO5Y/j1wDmupOXR0Vfz/41KraaiWqHtlxdN6Y+8ppaXV+656bbQIPzMOXbuPYiFuZShIQM4cDgUe3tb4hOTmffYw8QnJrNh2y5mTBrH9DnzePrxRwDIyc0jOzef1154hrc//Iy+wT1ISUvnoRlT+WbFz3z72Ye889FnLHpmLvZ2tgD8sX4zRcUl2mPPm/Mgkmv98ukz5/huyUf8+Osaoq7EENSxPQDpmdm8/+YrPPDEM5SWld2w7ebiTK2iFoWi9j89b/eCs6nF7L+Sj9TUiEGtHTgaK8POwoSk/Eoe7etNUkEl2y/lMDHIjSd+O8+cfprlUvJKa8gtq+G5IX58sjeenr52pBVVMb27BytPpPLJlA58sjee+YN8sTO/dv9zNqvx/U8fb+39z7nUEj6d2oHfw9O5mlNOB3fNb2pIGyeWZSdTUaPpv7NK5Lw+ujVzf79AmbyWad09iEwpRrjRmcRc9p5PwdzMhJAOnhyOTsfeUkJibgmPDelIYm4J2yITmNQrkDnf7eXxIZqXn3JLKsktqeSFcd34cFMEwYGupOWXMaNfG1YciOKzRwby0abTPDOqC3aWmu/m+rBYiitqtMeeM7hDQ5+clMuSRwbx69ErXMkopKO3Zom/qb0DtceyMDPh8aEdUanUzP/xEMAN20JjsrgzZJ3Zh7GZBS5BA8m9cBRTKzvKs5MIGPko5dmJZJzahlffSYQteYyAUY8BUF2ch7wol3ZTniNq7cc4tulFZV4aviEziN/1I92f+pSotR/TZvzTmFlpnjemHNuAoqLhexYw4lGMTDW5l8WfpcdT/yPxwO+UpF3FzlfzvFFq54KqrhZVnYJaeQWZp3fhGTwGDAwwNDahzbh5ZITvxH/Ew//xmfv3DHUdgCDciixiGxInb0xt3ajOSwbAoftYnIInU5kWhdTVH4deEzC1ccbcoy1OvadQnnAGj1FPY9dlBGVx4ahVKpz6TscxeDIll49h3TqYwvN7wcBQOwjxb4nHXLe3YV8orTxccHNyICE9G4BJQ/syc3QIF2ISae3jwdQRA3B1tKO9vzezxoRw+lIMix6dwthBvTh57jIqlYqHxg9hxqhBHDx1nn7dOrDjSDiGhgbaQYi7NWZgT37csIeS8kqMjAz5ZNHjvDhnKjuPnaa8soqu7QJ4Y+4s0nPym+J06K0t5zPwcbDA1UZKUn4FAOODPJja3YuojBL8nS2Z2NUDZ2sJbd2smNrDi8iUIp4dEsiIjq6EJ8lQqdTM7OnN5G5eHInJo7efA3uisjE0QDsIcTeqa5VcyijhSEweMTllZJfIsTU35eVRbTEzNqSoUnH7Ru5jm0Iv4etqj5uDDUnZMgAm9OvI9JAuXErKItDDickDOuNiZ0V7HxdmhHQl4moaz00ZyOjgdoRdTkGlVvPAkG5MG9SFw+fi6duxFbvCr2BoaKB9YH23bC2lvPbAMMxMjamtq8PM1IQnxvTmyIWEpvjn66VNoZfwdbHDzcGapOxCACb07aDJaWI2gR6OTB7QSZNTb2dmhHQhIiaN56YMYHSvazlVqXlgSFemDQri8PkE+nbw1eTUoKlyOhQzE2OKyqr4asFkXpoRwuqD5wAI8HBkyfwJ5BSV/etzoW/2b12Ph7cvTq7upKdovgNDxk5m5JRZxEafx9uvNcMmTMPB2RW/Nu0ZNeUBos6G89DTLzJg+FgunD6BWq1izPSHGTFpFqePHaBLcH+O7d2OoaGhdhDibvUfPpZNv62gvKwEQyMjrGxsefLFtzE1M6O0uLApTsF9Y1uUDG87CW7WpiQXaoqpju3gwOTOTkRlV+LvKGVCRwecrUxp62zOlM5OnEkv5+n+Hoxoa0d4WhkqtZrpQU5M7uzIsYQSgn2t2RtTqPndNW+igXoDcbV8JzafuIyPix1u9lYN/XKfdkwb2JFLyTkEeDgwuV8HXOwsaeflzPSBnYiIzeC5SX0Z3aM1YVfSNL+1IUFMG9CRwxeT6NPeh10RsRgYGmgHIe6WraWE12YMQmJiTFF5FWWV1Sz+4xBvzAoBuGFbaLBu83Za+Xjj7uZKQlIKAFPHj+GBaZM4fyma1gF+zJg0DlcXZzq0bcPs6ZM5FXmWlxbOZ/yoYRw/FYFKreKRWdOYNXUi+48cY0CfYLbt3oehoaF2EOJujRs5jB9++Z2S0jKMDI1u2P7s/bd5+bn5bN+7vwnOhn7ZeiEHbwcpbjZmJBVoXroY19mVKd3cuZRZhr+TBROD3HC2NqONqxVTu3lwJqWEZwb7MbKDM+HJRajUamb08GByV3eOxhXQ28+ePdG51/rhfzejzdzUiFdGBuJuK0Feq2REe2d+DUujtLoWI0PRN/+dzeEJ+Dhb42ZnQVJeCQDje/ozrU9rLqXmE+Bqy6RegbjYmtPWw4HpfVsTmZjDwjFdGdW1Fadis1Gr1czq15apfQI5Ep1OnzZu7D6XrLlWtvz3qwT8evQKcwZrHlwr6pS8tyGc58d2vem20FjayS1YuvggtXelPFvzvNGrz3h8BkyhKCkKK/cAvPpOQmrnjI13W3wHTkMWd4a2E5/FvedICq6Eg0pFq5CZ+AyYQs6FIzi1701mxB4MDAy1gxB3q8uji2k3aQFZkXtRq5QYmZoRMHIOuZeOaffJPnsAjx6j/tVxdEG8liK0WI7BEymNPYWxhS1WPt2pLkjX3MgYGKBWqZC6BZB/fC3O/Wdppy9Zt+5N1r4ftDMiSq6Eknfsd+S5ybgOeQSJsx/RH46lzcJfGh3Lqe/0W8Zh5d9d02aZDOdBD5Fz6Gfchj2B1NWPnIMrMTCRiNkQtzF91ECOn4nGzsaSLu38Sc3MxcDAAAMDUKnUtGnlxW/bDvDIxGEYGmrGR/t168DS37ZoZ0QcCr/Ayo17SUjPZu700QR4uzPw4ZfZsPStRsd6cNyQW8bRq1Nblv62hYKiUh6fOpLv/9zJMw+MR60GeU0N00b0x9Jcyle/b6WySo6vhwsSU1Oi41NYtnYHTva2zXma7nmTu3kSliDD1tyUzr52pBVW1n9lUanVBLpYseZ0Gg8Ee2N47Tvbx9+BZUcStDMijsXm82tYCskFFczp1wo/J0tGLQ3ltyeCGx1rRq9bF1/q4WvHsiMJyMpreLivLz+FJvHkIH8+nRYEQGJ+Be62UmTlNawMTUJeq8RWKmZF/J2pA4M4EZWMnZWUIH9vUnOLNN9hDFCp1LT2cuaPA2d4cFgPbX/ct2MrvtlyXDsj4sj5eH7eG0FSlownxvTG392BoS99z5q3G7/FMWvIrZfJ6tnWm2+2HKegpII5o3qxYkcY8yb0o6CkguU7wpDX1GJrKaVTKzdW7AjDzUEUWb+VqQM7cyI6GTtLc4L83a/Lqeb72trLiT8OnOXBYd0xuHaj2rdDK77ZckI7I+LIhQR+3htJUraMJ0YHa3L68g+seeuhRseaNeTWN0CanJ6goLSCOSN7smLnKeaN70tBaSXLd5xCrqhFYmbMFxuOUa2oJSjAnaKyKn7ZF4FapcbWQhT1/asRk2Zw7lQo1rb2dOrUlay0lOu+ryp8A9uy/c9VjJ/5qPY3t2twf1b/8KV2RsTpYwfZ8vuPpCcnMPXReXi1CuDxcf357OeNjY41ZtpDNwsBgE7dgln9w5cUywqY9OCTrP95GTOfeBa1Wk1NtZxh46dhbmFJsayA9T99R7VcjpWNHUd2bSEx9jJ7Nq3+2/YFmNjJkVMppdhKjenuZUV6cTUGoP0eBzhJWXs+n1ldnbV9c28fa344maWdERGaWMLvZ/JILpTzSC9X/OwljF0ZzS8PtGl0rOldbr2GdncvK344mYWsspaHejjz8+kcnujthp+DlJXhOUiMDcRsiDswpX9HTl5Oxc5SSpCfG6l5xRhggIHBtd9aTyf+OHyeB4d0xfBav9ynvTffbDulnRFx5GISv+w/S2J2IU+M6oG/mwPDXv+J1a/NbHSsWSFBt4yjZ2tPvtl2CllpJY8O78aK3RHMGxuMrLSK5bsiqKqpxdZCyvDXf2ZYtwAOX0ji0eHdmPze6kbbQoOZUyYQejIcO1tbunbuSEpq+rV7IU2/3LZ1AL+sXsec2TO1/fKAPsF88e1y7YyIA0dCWb7qDxKSUpj/2MME+reiz/AJbFn9U6NjPTxz6i3j6N2zO198u5x8WSFPPTqbb39cxcK5j6FWq6mWVzN90jgsLS1u2P7yuxVUVFbRylsssfZXk7q6EZZYiJ25Cd19bEgvrLr2vdXM2A10sWRNZAYP9PSk/rl/bz87vj+arJ0RcSxOxm/h6SQVVDKnrzd+jhaM/uYUvz7WvdGxZvS4dd2v7r62fH80GVmFgod7e/HTiVSeHODLiuMp1CnV5JbWIDE2RK2G6loVE4PcsDAz5lhcAbG55fxyMo3H+/s056m650zpHcDJmCxsLSV09nElNb9Mk1tApdLUl1h9/CqzB7TT5rZPa3e+3XNBOyPiyOUMVh25TFKeZhaFv4stw9/fxOrnRzc61sx+bW8ZR09/V77dcwFZmZxHQ9rz48Eo5g7vTLWijtziSnydNc+inlh2AF9na05czaKth/0N20aG4j306/n0m0L+lZOYWtrh4NeZyrw04NrDC7UKa89Akg+vxm/IbAwMNOfOuV1vYrcv086IyLl0lMT9v1Kek0TAyMewcvPj4Ouj6P/ab42O1Spkxi3jcGzdg9jty6guleE//GHid6+k9diniN3+vWYpJmdvTC1ssPXtSPzulUjtNLMUi5IuYefXCYN7MK8G6vo57oLwHzt//jzdu3en07v7mq1YdfLvr+H3yP+020UXDyDPjsdjzIJmOd7NVKRFE/3+KM6dO0e3bvp3UV6fx5NrljZrsernPvqeb956Rru9OzSCmOQMXn5sWrMd825ciEmi/4OL9CLf9bk98FLIf1as+tUNF/lsRhft9v7LOcTnlrNwWOv/5Pi3E5VRwogvjt3z+a3P7bGlC/6zYtWLlm1l6bOTtdt7Iq4Sl57Poukh/8nxb+dSYhYhi76753ML1+f3mWYtVr3o+20sfWaSdntPRAxxGfksmtay1o++lJRFyKLv9Sq3v+4Nb9Zi1f97fQGvffqddvv4gV2kxsfwyIJXmu2YdyM2+gJzRvfRq9zum9fpPy1W/drOZP433k+7fSC2iPgCOQsG6LbQfXR2BaNWROtVbo8uearZi1W/uGI3X84bq93eeyaOuIwCXpjSstYHv5Scw+BXVt7z+a3PbcThXc1erPqZl97k+y8+1m7v3HuQmPgEXn3+mb/51H/v/KVogoeOu+dzCw353f9C32YtVv3qpst8Nq2jdnv/lTzi8ypYOKT57q3vRlRmKSO/OqVXuT28eHqzFqt+6ddjfDEnRLu990IK8VnFPD+uZZ2/S6kFDF28US9yezP1+R7+2cEmLVZ9dsUr9Ji3RLuddWYfZZnxtJv8XJMd458oSo7i4KvDW3wexaspgl67fhACwL7LCOgyQkfRCP/G9YMQAGMHBTN2UPAt9hbuVdcPQgCM7OjGyI7Ne9Mu/DeuH4QAGBPcnjHB7XUUjdAUrh+EABgT3I4xwe10E4zQpK4fhAAYOGIcA0eM01E0QnO6fhACYERbe0bc+sVMoYW7fhACYHTPNozu2eYWewv3kusHIQDGjx7O+NHDdRSN0JSuH4QAGNnBhZEdRA0sfXD9IATA6K6tGN21lW6CEZrc9YMQAB49R+HR895bKum/du/N4RCEu1AtyyBrz3e33/EO5Bz+haw935FzeFWTtCfcnbTsPD5ftelft1NRJeeznzbwwQ9rWLlxD5Xyal78dDlf/LqZDftCmyBS4W6kF1by7aH4Jmlr0rcn+PFYIrE5ZeSUyHlx3QW+O5zAT6FJTdK+cGfS84pZuvHYv26nQl7D5+uP8vHqg/y85zS1dUp+2H6S77aeYNr/rbrh74X/TnpeMUs3/ft+s7JawSvLd/DV5uNsCr10LcdhfLf1JNMW//rvAxX+seyMVH7/bsntd7wDT08dxrqfviU57ipVlRUs/b+X+enLD4k4Loop6kpGcTXfnchqkra+Cs3k6Y2a3+/KGiVfHM3gtZ3JTdK28M+l55fw1ZaT/7qd2jolP+w6zXc7wpn+4RpUKjVv/3qAb7aFsSE0qgkiFf6p1PQMPvv6+yZpa8k3P7D0+5UcOnaCiopK3v/fUp556c0maVv45zKKqvj2SNPcpyw9lMj81RcBqKiu46cTqSw9lMiW89lN0r5w99ILyvh61/kmaWv8J9tYvv8SsVlFTdKecHcq89OJ2fpNk7R1ZdOXnPpyrrbdk5/NIW7XCqpkTXO9pktiRoTQ4uUe/Q21sg5Te3ds2vajIHwTiqJs7LuOQlWnoODURowt7TE0lWBkIsHIwgbbjoNJWfMWjsGTUBTl4NBrAgDliWcpungAIzMpNu0HUhZ7CkOJJVI3f2zbDwRAUZpPYeR27fHNnHw0Mymuse0wiJzDv2Du3jKWirkXrdy4h9o6JZ4ujgzq2Zm1u4+SmVvAhMF9qKmtZc3OIzjYWiOVmCIxM8XO2pLhfbvx4qcrmD5qIFn5hUwboZliHnEpll2hEVhIzRgS3IXQs9FYmUtp3cqTIcFdAMiVFbNp/3Ht8Vt5umpnU1iaS3n1yRkUFJfy6Y/riE/JxN/bnWceGM+kBYuZMaplLTFyL/j1ZAp1ShXudlL6Bzqx4Uw62SVyxnRyp6ZOyYYzGdhbmCIxMUJqYoSNuQmD2zrz5uYoJnfzJLtEzsSumiUhzqYUse9yDuamRgxq40xYggwLiTGBzpYMbOMMQH5ZNdvOZ2qP7+No0WgWhau1hIqaOgwNDDA2MqBMXktBWTX9WzffNFx98/Oe09TVKfFwsmVAZ3/WHzlPpqyUcX3ao6hV8ufh89hbmyM1NUFiZoKtpZRh3VrzyvLtTB0URLasjCkDNNNgI2PT2HM6BguJCSFdAjkRnYyl1JTWns6EdAkAIK+4nC3HL2mP7+Nqr509YSk14+WZg5GVVvDZuiOYGBvx9MT+bA+L5rFRvW74e+HO/LwngjqlEg9HG02Oj14gs6A+x3X8eeRCQ45NTbC1lGhyvGInUwd2JruwjCn9NctSRMamsyciBgszE0K6BHAiOuVajp3+kuOGh1eaHGtmUyRkFuDv7si88X2Yvvg3pg0K4umJ/dgedpnHRvX670/OPW7z7z9SV1uLi7snPfqFsGfTGvKyMwkZPQFFTQ17Nq3G1s4RM4kEM6kUKxs7eocM54u3FzF84gzyc7IYNkGzDGL0udMc378Lqbk5vQYM5Vx4KOYWVvgEtKbXgKEAFObncnBHQy0Jd+9WjWZTOLq6UVVRjoGhIWdOHKHvkJEEDxrO/95YSPDAYf/tydEDv0XmUqdS425jSr9WNmy6WEB2mYJR7exR1KnYeLEAe3NjJCaGSIyNsJEaMTjAlrf2pDCpkyM5pQomdHQA4GxGOQdii5CaGDHQ34ZTKWVYmhni7yhloL8tAPnlCrZfbigq7mNnxoi2DQXMXxjkqR14sDAz4qXBXmIg4i79su8stdf65YEdfVkXGkWWrJSxwW01v73HLuFgZY7E1BipmQm2FhKGdg3g1Z/2MrV/R7ILy5jcT1PENDIug72RcZhLTAkJ8uPk5VQsJaYEejgSEqSZFZNXXMGWsMva4/u62GlnU5gYG/H0uN5sD7/KnOHduZKWR4C7A3NGdOelFbuZMajplrq4Hyz/5Q9q6+rw8nBj8IC+/LF+M5lZOUwcOxJFjYLf12/G0d4OqUSCVCrB1saGkUMH8fxr7zJzygSycnKZPknTr4afOcfOvQexMJcyNGQAoSfDsbS0oG1gAEMHae6XcvPyWb91p/b4fj7e2tkUV+PiOX8pmv59emFoaIClpQXvvrZIDETcpd9OpVGrVONuK6F/gAMbz2WRXVLN6I4uKOpUbDibde0+yBCJiRE2UhOGtHXkza1XmdTVjZySaiZ20dzHnE0tZv+VfKSmRgxq7UBYYhGWZsYEOFswsLUjAPllNWy72DCo4ONg3mg2xaJhAby6SfO9tpQY08PXjl/D0mjrKuqo/Ru/HLlMnVKFh70lA9p5sD4sjqyiCsZ296OmVsn6sDjsLSWa/tnUCBtzM4Z28ua11SeYEhxITnEFk3ppronPJOay93wK5mYmhHTw5GRslqZ/drNlUAdNXZa8kiq2RiRoj+/jbN1oZoWrrTkV1bWI+uN3L3H/r6jqajF39MC5Y39SQzcgL8zGo9doVLUKUkI3YGZlj5GpBCNTCaYWtrh1Hcy5n97Au/9k5IU5ePebCIAs7gxZZ/ZhbGaBS9BA8i+HYSK1xMojANfOmudL8uJ80sO2ao9v6eLTaDZFh2kvcnaFZklUAyNjzGwcqZNXYmBo9B+eleYhZkQILZ6lbxBqlZK68iJUCjmolJjau1MacwIAm7b9cB/+FKiUeIxdSGX6Ze3nnHpPoaaw4QGlLGIbEidvTG3dqM5LxqJVEGplLXWVJXccj9TVH78HP0JRnNuk/877Sbf2gSiVKgpLyqiqrkGpVOLp6sTRyIsADOrZmYUPTUCpVPHK49O5FJt87XMBzBoTQkZOvratDftCaeXhgpuTAwnp2XTvEEhtnZLi0oo7jic7v5BPVvzJO888SJdrdS5+WLcLW+v/bo1mfRLkbYtSraaoUoFcoUSlUuNuK+V4vCZv/QMdmRfij0qt5rnhrbmcWar5nJctU3t4kVks17a15XwGPg4WuNpIScqvoIu3LXVKFcVVtXccz/JHe/LcsNasDE0iuaCSxwf4sXhSRw5cFt/hO9U1wAOlSk1hWSXyGgVKlQpPRxtCLyYCMKCzH89M7I9SpeLF6SFEJWluiLoGejIjpCsZ+cXatjaFXsLX1R43BxuSsmV0C/Skrk5FcXnVHceTXVjK//48zFsPNixJsC8yhtHXHmTf7O+Fv9c1sD7HVZocK1V4Ov0lxxP6XcvxIKKSczSfC/BgRkiXG3PsYoebgzVJ2YV0C/TQfG8r5Dc99l8F+bsD8OOucGwsG4pR74uMZXQvsWbMP9WuczdUKiUlRTKq5VWoVEpc3D05c0IzUNejbwiznlqIUqXk0QWvEn/5IgBtO3dj1JQHyM1K17a1f+t6PLx9cXJ1Jz0lgXZB3amrq6WspPhmh76pD5b9wSMLXmX9T99q/uBaEeX6YsrCPxPkYYlSpaaosg55rQqlGtytTTmRpPlt7ednw1N93FGqYOFADy7nVGo+527JlM5OZJbWaNvaFiXD206Cm7UpyYXVBHlYUKtUUyKv08m/7X7XJcBN2y9XKWpRqlR4ONoQGpUCwMCOrXh6fG9UKjWLpvQnKkVzXdPF343pAzuRUVCqbWvzicv4uNjhZm9FUnYhXf3dqf0H/XK9/WfjtYMTBuK7e9e6d+mMUqlEVlhMVZVc85vr4caRUM3slcED+vL8/CdRqpS89sKzXIy+ov3c7OmTSctouL9dt3k7rXy8cXdzJSEphR5dg6itraOouOSOYqmtrcPZyZFnn5zDxm27m/zfer8J8rS5dh9Ui7xWiVKlGZQ4nqAZwO0X6MDcgb4o1fDcUH8uZ5dpPze1mweZxdXatrZeyMHbQYqbjRlJBVV08bKhVqWi5B/cB/1VFy8bvpzRiejM0tvvLNxSF18nTf9cXk2Vog6lSo2HvSWhVzTfzQHtPJg/MgiVSsUL47oTnS7Tfm5639ZkFJZr29ocnoCPszVudhYk5ZXQtZWzpn+urLnpsW9m5dMjeGFcN5YfEDPU7padv+a5Y01ZIUqFHLVKidTBnbwozXNHl479aTNuHmqVkvZTnqc4NRoAe/8u+A6cRqWsoV9OO7kFSxcfpPaulGcnYx/QBVVdLYqKkruKzdzBnZ7zPidg1Bzid6/81/9WXRMzIoQWr7ZMhqGxKfK8ZMxlGahqFRiaSlCrVAAYGJmAoaHmv4ABmovhipSL5B75FRMbZ21bjsETKY09hbGFLVY+3ZHnJGFobEp1bsPUR1MbZ9yGP3XzWCqKyDv2B6hVGFs0X8EqfVdQVIKZqQkJadm098+nprYOqaEhSqUmpyYmRhgYGGJirBntrb/BOXslgRXrd+PiYKdta/qogRw/E42djSVd2vkTn5qJqYkxCWkNPwSujnYseHDiTWMpLa9k0oLFzBwTwqFTF5g2cgB1SiV1ShVzJol6IndDVl6DqbEhSfkVtHWtoqZOhdTECKVKDYCJkaFmdoJh/Q2s5nMX0kv45UQyzlZm2rYmd/MkLEGGrbkpnX3tSMyvwMTIkKT8hos3Z2sJc0MCbhpLXmk1G86kU1ylYEAbJxwtzVhxLJFzqUV097W76WeEGxWUVmJqYkRilox2PsXU1CqRmho05NTYCENDg+u+s5rPnYvPYOXucFzsGt66mjowiBNRydhZSQny9yY+swATEyMSswq0+7jYWfH0xJsX1iytrGb64l+ZPqgLhy8kMGVAZy4mZhHk74GhoeFN/164vYKSCk2Os2W0y3ehpk6J1PC6HBtdy7HRX3KckMnK3af/kuPOnIhOxs7SnCB/d+IzZZgYG5GY+dcc97tpLAYGBtQpVdSpVDwyogfAtRy7Y2go3qH5p4oLCzAxNSMjOZGczDQUNTWYSaQolUoAjE1MMDQ0xNj42nXUteRevXiWTb8ux8Gp4c3KEZNmcO5UKNa29nTq1JW0xDhMTExJT2pYSs/B2ZVZTy68aSyyvBz2bFxNaUkxPQcMoeeAIfy45D0un4tg0KgJzXUK9JqsshZTY0OSC+VklJijqFMhMTFEpb723TU0wNAATIwaPzS+mFXBrxG5OFuaaNua2MmRUyml2EqN6e5lRZJMjqmRIUmyhgdjzlamPNXn1rWb1p3PJzavin0xRYxqZ8/K8Bxi86o4mVxKfz9x7fxPyEorMTMxIim7kPR8JxS1SiSmBiiv3QMZG1+7njLW9Iv1uT2fkM1Pe8/gbGuhbWtK/46cvJyKnaWUID834rNkmBobkZjdMLvFxc6Sp8f1vmU8F5Oy6dzKDUNDAzr4uLDheBTfbDtFcFuv5vjn67UCmQwzM1MSkpJJzWiNQqFAIpE03AsZG1+7rmrcL5+5cJHvf/4NV+eG+9uZUyYQejIcO1tbunbuSFxCEqamJsQnNtzfuro48/z8J24aS+cO7TA2Mubr5T/Tvq1mxv/Xy3/mckwsR4+HMXjgzX+rhZuTVSgwMzIkuaCSjCLLa32yESrV9X2yASb190HXPncho5RVYWk4W5lq25rU1Y2wxELszE3o7mNDYn4FpkaGJBZUavdxtjZj7sBb1xz4MzKD2Nxy9l7Oo62rJbuicqmsUeLnZHHLzwi3JyuTY2ZsRFJuCRkyexR1SiSmxg39c/39rtG1/vna5y6k5PPzoWicbcy1bU3pHcDJmCxsLSV09nElIadYk+ecEu0+LrbmzB8ZdNNYcksqWX8yjuLKaga192yWf+/9oKZUhqGJGeU5yVTmp6OqVWBkKkGt0lwvGxoZg4Ehhn957liUeIGEvb8gtW3ol336TSH/yklMLe1w8OtMeVYChsamlGc19MtSO2fajJt3y3iSD6+lJD2GzMg9WLsHkHVmP/KiHDz7jG+Of/5/ykCtvnaVKgj/sfrK9Z3e3YelT6cmbbtalkFh5HY8xixo0nbvRkVaNNHvj2rxlevvVn0eT65ZStdrswmaQ1p2Hhv3n+Dlx6Y12zGawoWYJPo/uEgv8l2f2wMvhdDZy7ZZj5VeWMn2C1ksHNaylzyLyihhxBfH7vn81uf22NIFBAV4NMsx0vOK2Xz8EoumhzRL+03tUmIWIYu+u+dzC9fn9xmC/Jsnv3AtxyeiWDStZS9hdykpi5BF3+tVbn/dG07bTl2b7TjZGakc2r6RRxa80mzHaAqx0ReYM7qPXuV237xOdHJv3hmZGcXVbL9cyIIBzdc//FvR2RWMWhGtV7k9uuQpgvxuPYjTFNLzS9hy8jIvTLn5YH5LcSk5h8GvrLzn81uf24jDu+gW1LT3s3+Vmp7Bhq07efX5Z5r1OP/W+UvRBA8dd8/nFhryu/+FvnT2bL6B1IyiKrZdzGHhkOa7l24KUZmljPzqlF7l9vDi6QT5/jfL9aYXlLE1IpHnx7W8c3cptYChizfqRW5vpj7fwz87iL1f072kVpmfTnrYNtpNfq7J2vw3ipKjOPjq8BafR/FamaCXJI5eLWIQQmg6Pu4uLX4QQrh73g4WLX4QQvhnvF3s7plBCOHueLvYtfhBCOHuuHv5tvhBCOHuedlJWvQghHD3vJ1tW/wghHB3fL29WvwghHB3vOzNW/wghPDveTtZt8hBCOHuWTh7t5hBiHuJGIgQ7lnJv7/WZG1d+WwaNbJMSi4fI2PHUlL+fBdlzY1rppZePUH2vuUkr34TVZ2C8sQzJKy8+fIDwj/z3EffN1lbo+e+RXp2PqcuXGXmix8RGRULwJKfN7D0ty08/d43lFXcuB79n7uPEvLIy9rt5et2MfHZ/9Nu/9+3v7PxuqLXwj/z6oaLTdbWlO9OklFUxZK9MXxzMJ61p1MB2Hw2g28PxfPSugvUXZvefr3QuHy+PRTPimOade+PxeY3aVz3i0XLtt5+pzs0/s2VpOcXE34llQc//IMzsZr16L/beoIftp/knZ/3oFarefH7bfyw/STbTkbftJ1NoRf5YftJhiz6jspqxQ3bR87HN2nc+m7R99uarK3xb/1Een4xp66k8sP2MGa8/xunrqRy+HwCn607whsrd1NVo7jhcxuOXWTpplCe/24rdUol+8/E8sP2MEa+uoL0vGIiYtKY+8WGJotTH/3v9aZ7KeOZ6SPIyUzj5KE9/L7scz58aS6lxUVcjAzj1Semc/lcRKP9925awx/ff8E3H7zOzSZgb/ptBau++ZSvFmsGPJZ/9n+s/3kZP335YaP9/lz5Det++paVX3wAwLbVP/H7d0ua7N+lr5qyQPS0VVfILKkhMq2Mx/+M5VyGZnnEg3HFTFt1hfzyG7+/AD+eymZleA5fHM0AYPXZPL47kdVkcd1vXlzRdOv3T3j3NzLyS/h0/TGWbjnJH4cuALDxeDRfbTnJ8z/svOl11P6z8Yx/9zfyijW12N797SDLdoSzcNkOAH49cI6vtpxssjjvF01ZGHrYxJmkZWRy5vwlln6/kudee4cCWeEN23+1e/9hlnzzA08+9zJFxSWsWrOeD5d8zbMvv0VSShqnIs/yyPznmyzO+019weimMPWHCDKK5ESkFDFn1TnOpWnqNG0+n8W3R5J4aWP0Tb+/B6/mM+X7CPLLNLUHjsUVNGlcArz067Ema2vip9vIkGl+b/deSGHakh033e90fA4Pf72Xs4maOkGRCTnMX3GwyeK439UXjG4KR/9vMpUFGWSfPUDM1m+JXPY8NeU31lkriIng5P8eRRZ/FoC8qOPEbv+ecytfR1mrQBZ7htNf37sD06JGhNBipW38EM/xiyiLC0etVmFgZEJ1biKK0gJ8pmku1q5fgin599fwfeB90jZ9hMTJB7WyDveRmjXXlDVy8o+v1rZtbGmPU5+p2m2pqz9mjp5k7V2G38OfUHL5GKVXj2PfdWSjmGzaD6AiLZq6iiIMDI2wCuhJwalN/8HZuPe99dUq3pg7i5PnLqNSqTE2NiI+NZO8whI+eO5RoPHyS8999D1LXnmKt7/+lVaertQplTz30CQAquQ1/LJln7ZtB1trHhg7WLsd6OOBt7sz3u7OJGXkaP/c2NiY4rJy1Go1VhYNBVDrPTB2MOEXY7Tb82eN42pSQ5HOoX26kld45wU57zfv77jMSyPbcipRhlqtxtjIkMS8cvLLa3h7fAeg8RJMr264yAdTOvHhjiv4OFhQp1Izf7Cm1kOVoo7Vp1K1bdtbmjGtR8MaxAHOlnjZm2NvaUZ1rZIqhWbtxqnX9ln053lq6lTadTnrrT2dRi8/B9QqNWq1mpC2zuyJym7O03JPenfVXl6dNYSwyymo1GpMjAxJyCwgr7iCxXNGAY2XXlq0bCufzh3P4l/34utiT51KxbOTBgBQVa3gt/2R2rbtrS2YObhhSZkAD0e8ne3wdrYjJafhxvhySg7LX5zBO7/s4XJqLq52VqjUaqoVNy/QN21QF3KLysgpKsdCYnrD9pBurdkZfqU5Ttc96d1V+3h11uDrcmykyXFJBYsf1fz2Xb/00qLvt/HpU+NY/Ot+fF3tqFOqeHaS5q3bqhoFv+07o21bk+Mu2u3rc9y3gy8Xk7Lp28GXl37YzhdPT+Tw+QSOXUhkTO/2jWKcEaJpY+E3W6ipVTKyZ1uqFbXEZuTj7WKHt4sd645eaN4T1cJ9++GbPLHoTS6cPoFKpcLY2IS0pDgK8/N49k3NA/3rl1n63+sLWPTeFyz7+C3cvVuhVNYxe67mwVK1vIpta37Wtm1j58DoqbO12z7+rXHz9MHN04f+w8bww6fvUFFWQpde/chMTeKvos9H8OrH37B19UoSY6IJbN94Kvy0R+ehUqlYvHAOAHlZGcx/9T3emv8gFWWlWFprlsHISEnk1Y+/4ftP3qa8tIReg4ZxaPvGJj2P96IPD6SxaJAn4Wllmu+woQGJsmoKKhS8OdwHaLwE02s7k3l/tC8fHUzDx05CnUrNvL6awvByhZLV5/K1bdubGzM1qGGpCn9HKZ62ZnjampFS1FAvYngbO6KyK24ZY0pRNZ+M8+OTg2mUyusY5G/D9ss3PgAVNP7v94O8Mn0Qp66maq+VE7Jk5BdX8H8PDwMaL7304ordfPL4SBb/cRhfF1tNvzyhDwBVNbX8dvCctm0HK3NmDGr4DgZ4OOLlbIuDlTlyRR3ya7+t0wdqlhdauGwHNbV1GBs1rFcPMLJHay4kNVw3qdRqKqoVWJlr6nsN6eLPlpPiweZfvb74Y95++XmOnzqNSqXGxMSY2IQk8vIL+Pjd14HGSy8989KbLP34/3jj/U9p5eNNXV0di57R1DCsqpKz8ve12rYd7e14cMYU7XbrAH98vDzx8fIk+moMObl5GBsb07NbUKPtvxo7cihjRw7l7Q8/o6S0DKlEgqyoiCq5HGdHB/xb+bB6/ZZmPlP3rg92xfLi8ADCk4pQ1d8H5VdQUK7grbGaAu/XL8H06qbLfDCpHR/ujsPH3lxzHzRIU+uhSqFk9emGe1B7C1OmdW+YxebvZIGXvRQveympsoaX66Z20+zz4oZoFDe5Dxre3plLGQ1FqkPaOLEnOq/pT4YeW7z+FC9P7Mmp2CxUak3tw4ScYvJLq3h3hqb/vX4Jppd+PcbHDw7g/Q3h+DhbU6dU8cyoLoCmn/792FVt2/ZWEmb0baPdDnC1xcvRijOJuajV4ONkfdOYerd2IyWvIa+9At1YHxbXDP96/XTpj/dpP+0lCq6eQq1WYWhkQllWAtUl+QQ99A7QeAmmsyteoevjH3Jp9QdYOvugVilpM34+AHU1VSQd/EPbtpm1A74DG1b1sHIPwMLJCwsnL9x7jCBqzUfUVpViZtW4dqVTu2AqclO02y6dB1KUHEVNeSEGhkY4tu1Jaui9+zKWmBEhtFiOfaZSEL6J4qjD2HUehlJehqHEksq0hrdhDTCAa2/ZqVFTlRWLsqoUI4kldZUl/zoGVW21tih2PY/Rz2DTrj+K4tx/3f795IGxg/lz91H2nTzLqAE9KKuowspCysXYhocXBhho35pUq9VcSUylpLwCKwtziktvfaN7pxS1tby/8FF6dGzNxdhkquQ1/7pNocH0Hl5sPJPBoat5DGvvSpm8FkuJMdGZJdp9DAwM6r+yqNUQk11GybX9Sqpu/kbl33ligB/PDgmkVqkiPlczyLT0QBxTu3thYWZMda1SWxwOIK+smsf6tcLMxIjozNK/afn+NnNwV9YfvcCBM7GM7NGGsqoaLKVmRCVd9yarAdSfWbUarqbmUlIhx8pcQnH5jTPK7iaGH3edIiO/GFNjI159YCjPThrAhYRMqqoVVFXf+P/Lqr0RPD46+JbbQoOZg7uw/uhFDpyNu5bj6ms5vm5gruEn9sYcV9xdjo9dTGRQ0M2XH6hW1KK67jdXrVbz+fqjTB8UhIVE8zBsw7GLTB9082J996PRU2ezd/Nawg7vpd/Q0VSUl2JuYUnc5YYBGgMDA9Q0/LYmxV6mvLQYCysrykqK7uq4W/5YSUD7znj4+N3xZ6rljWci1ioULPvoLR5+VvOmWf/hY9n02wrKy0owvFYU/Xr1xVoFjalBjmy6VMDh+GKGBdpRVqPE0tSQ6JyGIqaNf3PVxOZVUSpXYmlmRIm8rsljkl97KeAGInd3ZOagzmwIjeLAuURGdG+t+e2VmHEppeGew4Drf3vVXE3Lp7RSjpXUjJK76JefGtOL5yb1RVGnJC6zQNPvbjrO9IGdsJCYUq2oa3Qd9Ve2lhJemzEIiYkxReU3zjYWNB6cMYXVG7aw5+ARxowYQmlZOVaWFlyIahi00XxfG/rq6KtxFJeUYm1lSXFJyV0d9/GHZvHYgzOJTUi8YVuhUFBX17gfWLFqNZ07tMPP15uUtHS++uQ9Zk2ZwKHQE3f3D7+PTOvuwaZzWRyKKWBYO2fKq+uwNDMmKuv6+43r+mQgJqeC0qo6rCTGlFTd/EWbf0KtVrP0UCJTurpjfpP7IOHfm9G3DRtOxXEwKo0RQT6UyWuwlJgQlVag3afRdRdwNbOQkqoarCSmlFT+8+cPh6LSSS8oIyaziLOJuSjqlDed8SLcHZ+B00g7vpHs84dw7zac2qoyTKSWFCdfNwv/+v4ZNaVpMdRWlGJiboWi4u5eVE3c/xu2vh2wdPFFWatApfz767J2kxbg0mkA8qKcv93vXiBmRAgtloVnO7L3fo+FTycMDA2pyoxF6h6IWtnwI21i64w8LxlZ5HbqKoox92iLia0rqroazD3aavczMpPiNvyp2x7TvutIMncupa6yBK/Jr5O5Yynuo5/F2Fwz+px/Yh21lcVU5ybjGDy56f/ReqxjoC9Lf9tCl7b+GBoaciUxjTatPKmra7hpdXWyIzEtm037T1BUWk6HAF/cnOypUShoH+Ct3c9casaCByfe9pgxyekcPn2B6PgUvN1dqK1V8vUfW0nNzGPWmBDe+moVS9+Yr93/UPgFriSmsnzdLubPGsfWQ2FcSUxlza4jPDhuSNOeED3Uzt2GZUcS6ORpi6GhAbE5ZQS6WFGrbLgAdrGWkFRQwbbzmRRVKWjnbo2rtYSaOhVt3Rre8jA3NWZuSMBtj7ntfCZphZVkFcvx7m/O21uiqaypw8LUiI6eNnx/JJEFQwOxlpoAMDvYh++PJpJfVs2U7p5NfxL0RAdfV77ZHEqQvweGhoZcTc2ltZcTtddd9LraWZGUJWPLiSiKy6to7+uKq7011bV1tPNx0e5nLjHl6Ym3X686Nj2PIxcSuJySg7eLHSq1GkWtkh5tvGnj5cyv+yIpKCnH2MgQc4kpL/+wnc+fbugHqhW15BaV4+tqf9NtobEOvq58s+UEQf7umhyn5dHa04la5XV9sp0VSdl/zbEV1Ypa2nlfl2MzU56e2O+OjrvlRBRL5k8AYExwe5asO0JxhZy3Hx7OZ+uO8vzUgdhYSAB4feVuKuU1WEhM6ezvjq2llLDLqTwyomcTnol7W0C7jqz+4QvadOqKoaEhSbGX8Q1oS11tw7WSo7Mb6ckJHNyxkdLiIvzbdsTRxQ1FTQ3+bTpo95NIzZn15O2Xm1z749dcjDhJtz4DyclMo7qqisjQQyRejcbNy4eww3sZMWkmnboFs/qHLymWFTDpwSf5/O0XeOWjr7XtvPX0g3j4+HHu1DH82rRHrVZTUy1n2PhpmFtYsv7nZcx84lm8/QJZ99O3mJpJsLKxpbyspEnP4b2qnYsF35/MppObheY3N6+KQCdpo99cZ0sTkgvlbL8so1heR1sXc1ytTDS/uc7m2v2kpkY81ef2RZTj86s4nlTC1dwqvGzNyCip4XxmOYYGBszv68YHB9L4eFzD4JSfg5SV4TlIjA2wkRpTVt30gx/6pL2PC99sO0VnPzcMDQ2IudYvX3+t7GJnRWJ2IVvCrlBULqe9jzOudlbU1NbR1ttZu5+5mQlPj+t922NuCbtCam4RWbIyfJzteOOX/VRUKzT9bitXvt1+iucn9cP6Wr98Jj6Ts/FZGBka8uyEPshKq1i+K4KqmlpsLaRUyP/5SyX3g07t2/L5t8vp2rkjhoaGXI6JpW1gALXX9dVuLs7EJ6WwYetOioqL6dS+De6uLlRX19ChbcNb0ubmUp6f/8Rtj7ll5x5SUtNJSE7lnVdfuGF7+arVjBoaQusAzXd26fcrORkeycB+vUnLyMTKypL/fbWMnLx8Xlowr+lPip5p52bFsqPJdPK01nx/c8oJdLGgrtF9kBnJBZVsv5hDcaWCdm6WuNiYUV2roq2rpXY/c1Mj5g5sddtjxuWWExov40p2OV525nxzJKnhPsjDmu+PJbNgsJ/2PuhcWjHn0kswNDRg/qBWmJveOOgv/L32Xg58u+cCnX2dNHnOLCLQza7RPZKLrTlJuaVsjUiguKKa9p4OuNqaU11bR1uPhvsSczMT5o+8/cs1b0zpBUBCTjE9AlxZceASQzv7EOBqC0BcVhFHr2RwOUOGl6M1Lrbmf9Oa8Fe2Pu2J3b4Mu1aa546l6TFYeTR+7iixdaE8J5n0sG0oyoux8WmH1N4FpaIGG6+G547GZua0GXf7/jJu53IKrobj1KEvlQUZZEXuxa3rUKzcNS9rlWbEkXvpGCWpV7Bw8ibn/CEUFcWUZyfh3X/qbVpv+QzUN1u0VRD+A/WV6zu9uw9Ln046jSV13f/hNuwpzBwbP5hUlORhautyi09BeeIZyhPP4T5q/i33qUiLJvr9US2+cv3dqs/jyTVL6dquZRTZevXzn1gwewLe7s5/u19OQRFuTnf+kPKb1dvo0aE1fbu2v+U+F2KS6P/gIr3Id31uD7wUQmcvW12H08i7W6N5apA/XvZ/f6GVV1qNi43kln9/LDaftMJKHu13+4t9gKiMEkZ8ceyez299bo8tXUBQgG4Llr65chfzJ/bD29nu9jtfJ7eoDFf7m09Rvpkj5+NJzSu+5QyJS4lZhCz67p7PLVyf32cI8td9Qdo3f9rN/Al9b5vjf5rTiJg0ImPTWTh5wN/udykpi5BF3+tVbn/dG07bTl1v/4Em9NXiV5j55ALcPH3u6vOyvBwcXW7/sPt29m5ei0RqzuAxk4iNvsCc0X30Krf75nWik7vl7T/wH/q/vak81ccNT1uzv90vr1yBi5XpLf9+86UCpCaGjGnvcNtjRmdXMGpFtF7l9uiSpwjy+/ffgabw5qr9PD02GC9n27/dL7e4HFc7qztud0NoFFIzE8b3bve3+11KzmHwKyvv+fzW5zbi8C66Ben2frbeS2+9z3PzH8fH6+9fuMnJzcPN9db3uX91KvIspyPP8eJtBiXOX4omeOi4ez630JDf/S/0pbOnja7D0Xp3ewxPDfDFy/7GpYavl1dWjYv139wHxRWQVijn0b7et9znelGZpYz86pRe5fbw4ukE+Trd/gM68Nbak8wfEYSXY+M+OLekEldbi1t+LjIhh8jEXBaMvvPrxEupBQxdvFEvcnsz9fke/tlB7P063/4DzeTCqndoPW4uFk5ejf5cXpyH1O7O+2NZ7BlkcWdoO7FxnYii5CgOvjq8xedRLM0ktEhNWYi6Xsb2L8jcuZTs/SvI2PY5apWSgvDNAPjOeq/RIET98W82CFEtyyBrz3cAWAX0/NtBiPtdUxagrvfR8rXadm/V/mcvP4m3uzOTFixm2dodfPbTBrYfPgVoClLXqx+E+GPHYW1B61sdM1dWzHMPTfrbQYj7TXMUeV6yN0bb7t+1//7kTry64SIrQ5P46kAcuy9plpPZdDaj0X4uNhLWRaRxLvXmy4+EtHUmv6ya/LLqm/79/ao5ijp/uvaQtt3r2//4qXE3PKCe9n+rWL4jjM/XH2XnKc2yBev/UgvA1d6atYfOaYtb3+qYecWaIm9DurUWyzTRtEWo63269rC23Zu1//GTY7U5nrb4V5bvOMXnG46y85SmZsf6oxcBGg1CrD18/ja5PYyvq/1tByGEpitY/cLiJdpBiJVffMAvX33M2h+/ZuXn76NUKtm7ee1NP1d//JsNQmRnpP7jwtOjp85m8JhJ/yz4e1xTFp6u98XRDG27t2s/SSZnX0wRX4dmsueqpsbD5ksFN+x3LLFEW8j6ZlKLqunhdecPte8XTVmEut6n649p271Z+x8/NlI7CDH9wzUs3xXBF5tOsPO0plbahtAogEaDEGuPXORMfObfHnNQZ7/bDkLcT5qyCHW99/+3VNvuzdr/4qN3tYMQ42Y+wjcrfuGTL79l6669AKzZoKnzcP0gxG9/buT02fN/e0w/H+/bDkLcT5qjyPPn+xO07f5d++9PbMdrmy+z8kQqXx1KZHe0Zvm2TeeyGu3nYi1h/ZlMbTHrvwpp40RBeY22eLWg0ZQFp+v9b2uktt3btT/zi12sOHAJB0sJl1I19Zs2nGqo+VA/CPHniVhtgerr9Qp0Y8HorvxvayR5JWLJvDvRlAWp611ev4QrG78kbudyLq//DJVSiZ1/0A2DEABXNnx+y3Yq89OJ2fpNoz9zbNvzhkGIe4lYmkloEcoSzlB6JRQTa0ecB8wCoK6qjILwTSiKsrHvOgpFaT7VecmY2rpi3bo32Qd+ROrmj2PvKRhLNRfJRef3UVPY8CDSMXgyJtaO2m3ngQ9iauNM4dndlFwJpTwhEqc+U8k78Sd15UUYW9jgMughKjOukHvsd6rzUvGe8lqjAtjmHm2oSI2iLCESeXY8dfJy6soL8RizgPStn2Hu0QbrNn0xdw/8b09iCxB+8SqHwy/iZG/Do5OGA1BaXsna3UfJzC1gwuA+5MqKSEjPxt3Jgf7dOvDNmu208fVg5ugQrC01b7fvPHqatOyGwlkzRg/C2d5Wu+3p4siJcw0XZ5+uXIedtRXpOfl8+Pwc7TrS3m7OPDtbswTIM+9/y8ShfQm/GEP/bh3ZHRpBQlqWdomnzQfDCD0TRaCvJ26O9uwKjcBCasaQ4C7Ep2Wx+cAJxof05ts127XFs3t3bsvu0Eg8XByZO2NMs57bliAyuZBjcfk4Wpoxu7fmYVSZvJYNZ9LJLpEzppM7eWXVJBdU4Gojobe/IyuOJRLgbMXUHp5YSTTTgvdGZZNR1HBRNLm7F05WDW9ZuttKOZUo025/uT8WW3NTMoureGd8B21+vezNeWqQZhbOi+suMDbIncjkQnr7O7D/ci5J+eXMG6RZ3mnHhSxOJhTg72yJq7WUfZdzMDc1YlAbZ5LyK9h+IYtRndz48ViitnB2z1b27L+ci5uthMf63/k66Pei01dTOXohAUdbSx4e3gOA0spq1h85T6aslHF92pNXVE5ilgw3B2v6dmzF99tOEujpxPSQLliba9622h1+hfT8hpudaYO64GTb8Gavh6MtYdEND7yWrDuMrZU5GfklvDdnVENunW2ZP0Gz1M9z32xmfN+OnL6aSt8OrdgbeZXELBnPXFvuadvJKI5HJRHo4YSrgxV7TsdgITEhpEsgCVkFbD0RxZje7flh+0ltIe1ebX3YGxmDu4M1T47t07wnV8dOX03j6MUEHG0seXh4d+Babo9eILPgutxmX8ttB1++3x5GoIcT00OCGnJ7+irpedfnNugvubUh7HJDUbUl645cl9uRf8ltXwCe+3YL4/t24HRMKn07+rI3IuZabjW53xZ2meNRyQR6OuJqb82eiBgszEwI6RJAQpaMrSeiGdO7HT9sP6UtoN2rrTd7I2Nxd7TmyTG3X5ZEH106c4rI0EPYOTozftYcACrKStmzaQ152ZmEjJ6ALC+XjOQEnFzd6dK7P3/++A0+AW0YNXkWFlaaAaHQfTvIyUzTtjti0kzsHRtmGk6c/TgOzq4c2b2ViNBDRJ05xeips9nx5ypKigqxtrFl0kNPEn8lii1/rCQzNYn5r77XqFC2X+v2xEZf4GJkGKnxMVSUl1FcKOPRBa+wYsli/Np0oFufgbQKbMv95Ex6GaGJpThamDCrm+acl1XXseliAdllCka1sye/XEFyYTWu1qb09rHmx1PZ+DtKmdLZESuJ5hZvX0wRGSUND5gmd3LE0dJEu+1ubUp4asP65UuPZWInNSaztIa3hntrv7cetmY8eW3pppe3JzGmvQOR6eX09rHmQFwRSbJq7dJOO68UEpZSir+jFBcrUw7EFiE1MWKgvw1JMjk7Lhcyqp09P4Zna4tm9/Cy4kBcMW7Wpszp5dq8J7cFOB2bztGLyTjZWPDQUM0bq2WV1awLjSJLVsrY4LbkFVeQlF2Im701fdt7s2znaVp7ODJtYCesrxWG3h0RS3pBibbdaQM64WTT8Jash4M1YVdStdtLNh7HzlJKRkEJix8e1tAvO9kyf5xmoP6573cyvnc7Tsdm0Le9D3vPxJGYXahd5mlb2BVORKcQ4O6Iq70leyPjMJeYEhLkR2JWIVvDrjC2Vxu+3xWhLaDdq60X+87E4e5gzROj9HtpvbCIMxw6egInJwcef3AmAKVlZfyxfjOZWTlMHDuS3Lx8EpJScHdzZUCfXnz1w0+0CfBn9vRJWFtp7mm379lPanrDoM8DUyfi7NRwT+vl4cbxsNPa7Y8+/xo7O1vSM7L45P/eaLgX8vTkuXmPAzD3+VeZPG40YRFnGdA3mJ37DhKfmMzz858EYNO2XRw7cYrWAX64ubqwc+9BLMylDA0ZQHxiMhu27WLimBF8vfxnbQHtPr26s2vfITzcXXn68Uea9+TqWGRKMaHxMhwtTXmgl2agp0xey8ZzWWSXVDO6owt55TUkF1Rq7oNa2bPieAqBzhZM6ebecB90Oa/RfdCUru44NroPknAqqVC7/eXBROzMTcgslvP22Dba3HraSXlqgC8AL22IZmwnVyJTiuntZ8+BK/kkFVQyd6Dm73dcyuVkYhH+Tha4Wpux/0o+UlMjBrV2IKmgku2XchjVwYUfT6RoC2f39LVl/5V83G0kzOl3dzMh7xURCTkcvZyBk5WUBwdqBlLLqmpYHxZHVlEFY7v7kVdSSVJuKW52FvRp484P+y8S4GbH9D6tsZJqZgLuOZdMuqxhMH5qn0CcrBtm73vYWxIW2zBY9Pn2s9hZmJFRWM7/zejTkFsHS+aN0CzZ9PwvRxnXw5+I+Bz6tnFn34VUEnNKmD9S81b/tjNJnIjJIsDVFlc7C/aeT8HczISQDp4k5pawLTKBMd38WL7/krZYdq8AV/ZdTMXdzpLHh3Zs3pPbQhXERpJ36Rhm1o74DZ0NgKKyjNTQDcgLs/HoNZrq4nzKc5KQ2rvh1L43cTuXY+0RiM+AqZiYa/rqzMg9VOY3PH/0GTAFiU3DDBu/YQ8htXMm4/Qu8i4dQxYTge/AaSQfXkNNWRGmljb4D3+E4tTLJO7/jYrcFDrNfqNRIWxrrzYUJUVREBNBWWYctVXl1JQV0m7yc0T/+Sk23m1x7tAXa8/W/+1J/BfEjAihRSg8swPP8S/gOmQOhiaahx4qhRxUSkzt3SmNOYG5ZzsMDI2pLS/ExMYRMwd36qpKUdfd7Vqkmo5erVKhqqnCxNqRsoRIAKSu/riGPIKBoREVKRcbFcCWuPpj6dsZ68BeFEcdxsTSHmNLe6plGVj6BqGsrkRVU/l3B9Zbmw+c5PWnZjJv5lgkZpof5KrqGpRKJZ6uThyNvEjHQF+MjYyQlZTi7GCLl6sjJWUV1NTeeYGuhycOY92eY9ReK7CWKytm3syxSM3MkJWU3fbzVdWam3I7ayvCL2re/BozsCevPDGDoxEX2bAvlFYeLrg5OZCQnk1rHw+mjhiArKS0UfHsVl5u2FpbUlZZRXWN/q+Ju/1CFi+OaMPjA/yQmGjWFJUrNEXQ3G2lHI/Pp727NUaGBhRWKHCyMsPDTkqpXEFN3Z0X1Hog2IfNZzO0a23mldVoj1lYefvzXF8s09bclMgUzYX88I6uPD+8DcfjCthyPgMfBwtcbaQk5Vfg72zJxK4eFFbUNCqc7eNogY25CRXVdVTX3qIAp57YeiKKV2YN4amxfZCYam6U5DUKlCoVno42hF5MpIOvK8ZGhhSWVeJsa4mnky0lFXIUtXe+5vdDw7uz4dhFbYG13KJynhrbB6mpMYVlt+835de+Z3aWUk5fTQVgVK92vDRjMMcuJbIp9BK+rva4OdiQlC0j0MOJyQM6U1ha2aiQdis3e2wtpZRX1VCt+PfFAVuyrSejeWXmYJ4a27txbpUqPJ3+ktvSa7l1rM/tnf9//9Cwa7m99l3PLS7nqbG9kZoZU1h2+7ex5DWaPNhZSTkdo3n4PapnW16aEcKxi0ma3LrY4eZgTVJ2IYEejkwe0KlxbivktHJzuG9yeyuHdmzisRfeZNqc+ZhJNNdU1fIqVColLu6enDlxhIB2nTAyNqa4SIa9owsuHl6UlxajUNzdW5H1N88qlQp5VRX2jk5cOqOZiejjH8iUh5/C0NCIqxfPNCqU7e0fSNtOXenSqx9hR/Zh6+CIrb0D2RmptAvqTlVFOfLKiqY5MfeQHZcLeWGQJ3OCXZGYaG7X5LUqlGrN4MGJpFLauZhjbGhAYWUtjhYmuNuYUVpdh0J556vuzurmzJZLMm2fnF+h0BzT2JCiqtv37fJazedspcacuTYTYngbO54b6MmJpFK2RcnwtpPgZm1KcmE1/o5SJnR0oLCytlHRbF97CbYSIypqlFTX6n8Bzm1hV3ll+kCeHN0Tialm0KhKUYtSpcLD0YbQqBQ6+LhgZGSIrKwSJ1tLPJ1sKKn8Z7+5Dw7twobj0dReqzGRV1xx7Zgmd9QvV13rl20tpUTEah60jOrRmhenDiA0KpnNJy7j42KHm70VSdmFBHg4MLlfB2RlVY0KaLdyscPGor5f1u86IRu37eKtl5/jmSceRXKt/62qkmt+cz3cOBJ6kk7t22FsZESBrBAXJ0e8PdwpKS2l5h/cS8yZPYM1G7dSW6fJUU5ePs888ShSiQRZ4c1nAV+vSq4pbG5va8upyLMAjBs5jNcXLeBwaBjrNm+nlY837m6uJCSl0DrAjxmTxlEgK2pUQNvf1wc7G2vKyyuortbv2cU7LuWwaJg/j/XzabgPqlWiVKlxt5VwPKGQ9m5Wmn65QoGTlSmetlJK5HX/7D6olyebz2dTd63IdH5ZjfaYd3QfVFt/H2RCZKrmBZIR7Z15fqg/JxJkbL2Qg7eDFDcbM5IKqvB3smBikBuFlYpGhbN9HMyxlZpQXqP/90HbIhJ5eUIPnhjW6bo+uQ6lSo2HvSWhVzJp7+WIkZEBsnI5TtZSPOytKK2soeYfnJvZA9ux8VS89jc3r7RSe8zC8tt/f+Q1mv7T1tKMyATNTIiRXXxZNL47oVcz2RyegI+zNW52FiTllRDgasukXoHIyuWNimX7OttgY25GuVyh933yrWSEbaP9tBcJHP04RqaavlqpkKNWKZE6uJMXdQIbn/YYGBpTU1aIxMYJc0dPFBUlKGvvcgaRQcPzx7rqKsxsHCmI0Tx/tHYPIGDkoxgYGlGUcKFRIWxrd3/s/Tvj1C6Y7HOHMLN2wNTKnor8dOwDulArr6C2+t56/ihmRAgtgkPPCWTu/AoTGyec+2veHqmRZaCqVWBoKkGtUlFbmo+hqYSqrDgUxbkYmkhQlBZQV1GMiZVmrVn7bqP+9jj5x9dgaGqOUl6O54RFFF/Yh0ohp0aWgYVPJ9TXKtXLc5LIPfY7amUtlq26UBx9RFsA28TSHnlOAqWxYdh3HYWyugIjM3NMbV0pj4/AwMAQeV4Klq26NOs5a4mmjujPpyvX4+Joy8MThgGQnp1PTW0dUkNDlEoVubJizCVmXE1KIzu/EImpKXmyEopKynGy06y9OX7w37/FamBgwPyZYxn39LsAuDrasWL9buQ1Ndo2ANJz8lm2dgeVVdWM7Ndd++cxyemYGBujUqtQqjQXAnuOnyHiUiyDenbG3dmB42eisbOxpEs7f8xMTPht2wEeGDO4UfHs7PxCLKQS4lIyqJRXawdf9NXErh58eSAOZysJs4I1a4lmFFVRU6dCamKEUqUmr6waqakRsTnl5JZWY2ZsRH5ZDcWVChwtNW/7jO7s/rfHMTCAJwb6Mf37MEBT2O2XE8lU1yq1bdQfe2Wopijb0HYN08vjcsswMTRArVajvHYRf/ByLmdTiujf2gk3GwlhCTJszU3p7GuHqbEha06nMa2HV6PC2bklcsxNjUjIK6dKodTedOijyQM6s2TdEZztrHhwmOa7kp5fTE2tEqmpAUqVmtzicqRmJsSk5ZFTWIaZqTF5xeUUlVXhaKN5M35snw5/dxgMDAx4alwfJr/zMwCu9las3B2OXFGnbQMgI7+E5TvCqJArGN6joUBjbHo+JkZGqNRqVNdyuy8yhoiYdAZ29sfNwZoTUcnYWUkJ8vfG1MSYPw6cYcbgro0KaecUlmFuZkJ8ZgFV1QrtA3p9NLl/J5asP4qzrRUPDtOsFZqeX0JNnRKp4d/ktqScovIqHK+9XTu2998vS2dgYMBTY/sw+d1fAM1yHit3n0ZeU6dtA+pze4qK6hqGd78+t3mYGBuhUl2X2zOxRMSmMbCznya30cnYWZoT5O+OqYkRfxw4y4zBXRoV0M4pLMVcYkJ8RgFV1bV6ndtbGTZhGqu++hh7Z1fGzdC8oZqTmYaipgYziRSlUklhfg5mUnOS465QkJuFmZmEovw8SouLsHPQvMk1aNSEvz3O9rW/IDG3oLKslMcXvcXx/TuolleRk5lGm45dqLv2gCw1MZ4tf6ykrq6W9l16curIPm2hbFt7R1ITYzkXdoxBI8dTWV6O1MISJ1d3LkWEYWhoSEZKIu279Gjek9bCTOjowFehmThZmjCzq2ZGREZJDYo6FRITQ1RqNfkVtUhMDInLryK3XIHE2JCCCgXFVXU4WGj+vx/V7u/rYBkAjwW7Muv3qwA4W5rya0Qu1XUqbRsAWSU1/BSeQ6VCyZBAW+2fxxVUYWyoiUf7extXzNn0cvr52eBqZcqplFJspcZ097LC1NiAtefzmRbk1Khodk6ZAqmpEYkFcqpqldrBF301qV97lmw8joutJbOHdAE0/bKiVonE1AClSkVecTnmZibEpBeQU1SGxMSY/OIKisrlDf1y8N/PFDLAgLmjezH5vT8AcLGz5Ke9Z6hW1DbulwtKWL4rgspqBcO7BWj/PDajQNMvq9Xa6+V9Z+OJjMtkQKdWuNlbcfJyKnaWUoL83DS/uYfPM3Ng50YFtHOKyrGQmBCfKaOqRqF90KePpk8ax0eff4OLsxNzZk8HIDUjE4VCgUQi0dwL5eUjNZdyJSaOrJw8zCRm5OYXUFhcjJOj5p524piRf3scAwMDnn1qDqOmPghoCl1///NvyKurtW0ApGdm8s2KX6isrGT08MHaP78aG4+JsYnmXkipeZC6a/8hws+cY/CAvri7uRB6Mhw7W1u6du6Imakpv6xex4MzpjQqoJ2Vk4u5hTmx8YlUVsm1gy/6aEKQG0sPJeFsZcrMnpoZERlF8mv9sub6Ja+sBqmJEbG5FZr7IBND8strKK6qbbgP6vj368AbYMAT/XyYseIMAM7WZqwKS7vhPiizWM7KE6lU1tQxpF3DG9hxuRUYGxk0ulY+cDWfM6nF9A9wwNVGQlhiIXbmJnT3scHM2JA1kRlM6+bRqHB2bmmN5j4ov1Lv74MmBQfw+Y6zONuYM7u/pl/NkJWjqFMiMTXW9MkllZibmhCTVUhOSSUSEyPyS6sorqjG0VpTq2NM97+fQW+AAU8N78TUz3YC4GJjwc+HoqlW1GnbAMgsrGDFgUtUVtcyvHND/Y7YrCKMjQxRqxp+c/dfTOVMQg4D2nngZmfByZgsbC0ldPZxxdTYiNXHrzKjb5tGxbJziiuxMDMhPruYKkWdXvfJt+LVbxJXN32JxNaZVoM1K7JU5qejqlVgZCpBrVJSXZyHkZmU0oxY5EW5GJmYUV2Sj6KiGImNZoaaZ6+/XxUj+dBqjCXm1FaV0X7aS2RF7qWuRk5lQQZ2fp21BbHLshJI3P8bKmUt9oFdyblwSFsI29TKgbLMBPIun8Sj12hqq8oxllhgbu+KLOY0BgaGVOQk4xDw39aO+zdEsWpBZ1pSsermJIpV319EsWr9JopV6y9RrFp/iWLV+ksUq9Zfoli1fhPFqvWXKFatv0Sxav0lilXrB1GsWhAEQRAEQRAEQRAEQRAEQRCE+54YiBAEQRAEQRAEQRAEQRAEQRAEodncf4uBCS2OPCdB1yE0K33/99WLS8nQdQgtgj6eh4S8cl2H0GLo27mIy8zXdQgthj6ei7iMAl2H0CLo43lITYjVdQgtgj6ehwSZXNchtAj6eB7iM2W6DqHF0LdzERufqOsQWgx9PBcJ+RW6DqFF0MfzEJ9drOsQWoT75TyUZcbrOoRmda/8+8RAhKAzjo6OSKTmJK5cqOtQmp1Eao6jo6Ouw2gWjo6OmJub88TbX+o6lBbD3Fw/8u3o6Ii5VMqzq8/pOpQWxVwqvefzq/neSpn3xQZdh9KimJvf+7mF6/L75UZdh9Ji6FduzVn83GO6DqXF0K/fXAkLN+vfQ7y7ZS6V6E9uzaXM+3qrrkNpUfShX67vkx99+gVdh9Ki6Fu/vGBtlK5DaTH0ql+WSnn6x0O6DqXF0Id73FtxdHREam5OxDfP6jqUZie9B/pfUaxa0Kn09HRkMv16I+ZmHB0d8fb21nUYzeZ+yeOd0qd8i9zeSF/yK3J7I33JLYj8/pXIrf4SudVfIrf6TV/yK3J7I33JLYj8/pXIrf7Sp9zezP2S73shj2IgQhAEQRAEQRAEQRAEQRAEQRCEZiOKVQuCIAiCIAiCIAiCIAiCIAiC0GzEQIQgCIIgCIIgCIIgCIIgCIIgCM1GDEQIgiAIgiAIgiAIgiAIgiAIgtBsxECEIAiCIAiCIAiCIAiCIAiCIAjNRgxECIIgCIIgCIIgCIIgCIIgCILQbMRAhCAIgiAIgiAIgiAIgiAIgiAIzUYMRAiCIAiCIAiCIAiCIAiCIAiC0GzEQIQgCIIgCIIgCIIgCIIgCIIgCM1GDEQIgiAIgiAIgiAIgiAIgiAIgtBsxECEIAiCIAiCIAiCIAiCIAiCIAjNRgxECIIgCIIgCIIgCIIgCIIgCILQbMRAhCAIgiAIgiAIgiAIgiAIgiAIzUYMRAiCIAiCIAiCIAiCIAiCIAiC0GzEQIQgCIIgCIIgCIIgCIIgCIIgCM1GDEQIgiAIgiAIgiAIgiAIgiAIgtBsxECEIAiCIAiCIAiCIAiCIAiCIAjNRgxECIIgCIIgCIIgCIIgCIIgCILQbMRAhCAIgiAIgiAIgiAIgiAIgiAIzUYMRAiCIAiCIAiCIAiCIAiCIAiC0GzEQIQgCIIgCIIgCIIgCIIgCIIgCM1GDEQIgiAIgiAIgiAIgiAIgiAIgtBsxECEIAiCIAiCIAiCIAiCIAiCIAjNRgxECIIgCIIgCIIgCIIgCIIgCILQbMRAhCAIgiAIgiAIgiAIgiAIgiAIzUYMRAiCIAiCIAiCIAiCIAiCIAiC0GzEQIQgCIIgCIIgCIIgCIIgCIIgCM1GDEQIgiAIgiAIgiAIgiAIgiAIgtBsxECEIAiCIAiCIAiCIAiCIAiCIAjN5v8BzDLIPRC89KAAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split, GridSearchCV\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
    "from sklearn.tree import plot_tree\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Load data from CSV file\n",
    "file_path = './data/Diabetes_prediction.csv'\n",
    "df = pd.read_csv(file_path)\n",
    "\n",
    "# Split dataset into features and target variable\n",
    "X = df.drop('Diagnosis', axis=1)\n",
    "y = df['Diagnosis']\n",
    "\n",
    "# Split data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=87)\n",
    "\n",
    "# Initialize decision tree classifier\n",
    "clf = DecisionTreeClassifier(random_state=42)\n",
    "\n",
    "# Define hyperparameters to tune\n",
    "param_grid = {\n",
    "    'criterion': ['gini', 'entropy'],\n",
    "    'max_depth': [None, 10, 20, 30, 40, 50],\n",
    "    'min_samples_split': [2, 5, 10],\n",
    "    'min_samples_leaf': [1, 2, 4]\n",
    "}\n",
    "\n",
    "# Initialize GridSearchCV\n",
    "grid_search = GridSearchCV(estimator=clf, param_grid=param_grid, cv=5)\n",
    "\n",
    "# Fit the model\n",
    "grid_search.fit(X_train, y_train)\n",
    "\n",
    "# Best parameters\n",
    "print(\"Best Parameters:\", grid_search.best_params_)\n",
    "\n",
    "# Predictions\n",
    "y_pred_train = grid_search.predict(X_train)\n",
    "y_pred_test = grid_search.predict(X_test)\n",
    "\n",
    "# Accuracy for training data\n",
    "accuracy_train = accuracy_score(y_train, y_pred_train)\n",
    "print(f'Accuracy for training data: {accuracy_train * 100:.2f}%')\n",
    "\n",
    "# Accuracy for testing data\n",
    "accuracy_test = accuracy_score(y_test, y_pred_test)\n",
    "print(f'Accuracy for testing data: {accuracy_test * 100:.2f}%')\n",
    "\n",
    "# Classification Report\n",
    "print(\"Classification Report of Decision Tree Classifier for testing data:\")\n",
    "print(classification_report(y_test, y_pred_test))\n",
    "\n",
    "# Confusion Matrix\n",
    "print(\"Confusion Matrix for testing data:\")\n",
    "print(confusion_matrix(y_test, y_pred_test))\n",
    "\n",
    "# Visualize the decision tree\n",
    "best_clf = grid_search.best_estimator_\n",
    "plt.figure(figsize=(20,10))\n",
    "plot_tree(best_clf, filled=True, feature_names=X.columns, class_names=['No Diabetes', 'Diabetes'])\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confusion Matrix for testing data:\n",
      "                    Predicted No Diabetes  Predicted Diabetes\n",
      "Actual No Diabetes                    127                  22\n",
      "Actual Diabetes                        44                   7\n"
     ]
    }
   ],
   "source": [
    "conf_matrix = confusion_matrix(y_test, y_pred_test)\n",
    "conf_matrix_df = pd.DataFrame(conf_matrix, index=['Actual No Diabetes', 'Actual Diabetes'], columns=['Predicted No Diabetes', 'Predicted Diabetes'])\n",
    "\n",
    "print(\"Confusion Matrix for testing data:\")\n",
    "print(conf_matrix_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Parameters: {'max_features': 1, 'n_estimators': 200}\n",
      "Accuracy for training data: 98.75%\n",
      "Accuracy for testing data: 73.50%\n",
      "Classification Report for testing data:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.74      0.99      0.85       149\n",
      "           1       0.00      0.00      0.00        51\n",
      "\n",
      "    accuracy                           0.73       200\n",
      "   macro avg       0.37      0.49      0.42       200\n",
      "weighted avg       0.55      0.73      0.63       200\n",
      "\n",
      "Confusion Matrix for testing data:\n",
      "                    Predicted No Diabetes  Predicted Diabetes\n",
      "Actual No Diabetes                    147                   2\n",
      "Actual Diabetes                        51                   0\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split, GridSearchCV\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
    "\n",
    "# Load data from CSV file\n",
    "file_path = './data/Diabetes_prediction.csv'\n",
    "df = pd.read_csv(file_path)\n",
    "\n",
    "# Split dataset into features and target variable\n",
    "X = df.drop('Diagnosis', axis=1)\n",
    "y = df['Diagnosis']\n",
    "\n",
    "# Split data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=87)\n",
    "\n",
    "# Initialize Random Forest classifier with regularization\n",
    "clf = RandomForestClassifier(random_state=87, min_samples_split=5, min_samples_leaf=2, max_depth=20)\n",
    "\n",
    "# Define hyperparameters to tune\n",
    "param_grid = {\n",
    "    'n_estimators': [50, 100, 200],\n",
    "    'max_features': [None, 'sqrt', 'log2', 1, 2, 3, 4]\n",
    "}\n",
    "\n",
    "# Initialize GridSearchCV\n",
    "grid_search = GridSearchCV(estimator=clf, param_grid=param_grid, cv=5)\n",
    "\n",
    "# Fit the model\n",
    "grid_search.fit(X_train, y_train)\n",
    "\n",
    "# Best parameters\n",
    "print(\"Best Parameters:\", grid_search.best_params_)\n",
    "\n",
    "# Predictions\n",
    "y_pred_train = grid_search.predict(X_train)\n",
    "y_pred_test = grid_search.predict(X_test)\n",
    "\n",
    "# Accuracy for training data\n",
    "accuracy_train = accuracy_score(y_train, y_pred_train)\n",
    "print(f'Accuracy for training data: {accuracy_train * 100:.2f}%')\n",
    "\n",
    "# Accuracy for testing data\n",
    "accuracy_test = accuracy_score(y_test, y_pred_test)\n",
    "print(f'Accuracy for testing data: {accuracy_test * 100:.2f}%')\n",
    "\n",
    "# Classification Report for testing data\n",
    "print(\"Classification Report of Random Forest Classifier for testing data:\")\n",
    "print(classification_report(y_test, y_pred_test))\n",
    "\n",
    "# Confusion Matrix for testing data\n",
    "conf_matrix = confusion_matrix(y_test, y_pred_test)\n",
    "conf_matrix_df = pd.DataFrame(conf_matrix, index=['Actual No Diabetes', 'Actual Diabetes'], columns=['Predicted No Diabetes', 'Predicted Diabetes'])\n",
    "\n",
    "print(\"Confusion Matrix for testing data:\")\n",
    "print(conf_matrix_df)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Parameters: {'colsample_bytree': 0.7, 'learning_rate': 0.01, 'max_depth': 3, 'min_child_weight': 1, 'n_estimators': 50, 'subsample': 0.7}\n",
      "Accuracy: 74.50%\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.74      1.00      0.85       149\n",
      "           1       0.00      0.00      0.00        51\n",
      "\n",
      "    accuracy                           0.74       200\n",
      "   macro avg       0.37      0.50      0.43       200\n",
      "weighted avg       0.56      0.74      0.64       200\n",
      "\n",
      "[[149   0]\n",
      " [ 51   0]]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split, GridSearchCV\n",
    "from xgboost import XGBClassifier\n",
    "from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
    "\n",
    "# Load data from CSV file\n",
    "file_path = './data/Diabetes_prediction.csv'\n",
    "df = pd.read_csv(file_path)\n",
    "\n",
    "# Split dataset into features and target variable\n",
    "X = df.drop('Diagnosis', axis=1)\n",
    "y = df['Diagnosis']\n",
    "\n",
    "# Split data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=87)\n",
    "\n",
    "# Initialize XGBoost classifier\n",
    "clf = XGBClassifier(random_state=42)\n",
    "\n",
    "# Define hyperparameters grid\n",
    "param_grid = {\n",
    "    'learning_rate': [0.01, 0.1, 0.2],\n",
    "    'n_estimators': [50, 100, 200],\n",
    "    'max_depth': [3, 4, 5],\n",
    "    'min_child_weight': [1, 2, 3],\n",
    "    'subsample': [0.7, 0.8, 0.9],\n",
    "    'colsample_bytree': [0.7, 0.8, 0.9]\n",
    "}\n",
    "\n",
    "# Initialize GridSearchCV\n",
    "grid_search = GridSearchCV(estimator=clf, param_grid=param_grid, cv=5, scoring='accuracy')\n",
    "\n",
    "# Fit the model\n",
    "grid_search.fit(X_train, y_train)\n",
    "\n",
    "# Best parameters\n",
    "print(\"Best Parameters:\", grid_search.best_params_)\n",
    "\n",
    "# Predictions\n",
    "y_pred = grid_search.predict(X_test)\n",
    "\n",
    "# Accuracy\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "print(f'Accuracy: {accuracy * 100:.2f}%')\n",
    "\n",
    "# Classification Report\n",
    "print(\"Classification Report of XGB Classifier for testing data:\")\n",
    "print(classification_report(y_test, y_pred))\n",
    "\n",
    "# Confusion Matrix\n",
    "print(confusion_matrix(y_test, y_pred))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confusion Matrix:\n",
      "                    Predicted No Diabetes  Predicted Diabetes\n",
      "Actual No Diabetes                    149                   0\n",
      "Actual Diabetes                        51                   0\n"
     ]
    }
   ],
   "source": [
    "conf_matrix = confusion_matrix(y_test, y_pred)\n",
    "conf_matrix_df = pd.DataFrame(conf_matrix, index=['Actual No Diabetes', 'Actual Diabetes'], columns=['Predicted No Diabetes', 'Predicted Diabetes'])\n",
    "\n",
    "print(\"Confusion Matrix:\")\n",
    "print(conf_matrix_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Parameters: {'colsample_bytree': 0.7, 'learning_rate': 0.01, 'max_depth': 3, 'min_child_weight': 1, 'n_estimators': 50, 'subsample': 0.7}\n",
      "Accuracy for training data: 68.12%\n",
      "Accuracy for testing data: 74.50%\n",
      "Classification Report for testing data:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.74      1.00      0.85       149\n",
      "           1       0.00      0.00      0.00        51\n",
      "\n",
      "    accuracy                           0.74       200\n",
      "   macro avg       0.37      0.50      0.43       200\n",
      "weighted avg       0.56      0.74      0.64       200\n",
      "\n",
      "Confusion Matrix for testing data:\n",
      "[[149   0]\n",
      " [ 51   0]]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split, GridSearchCV\n",
    "from xgboost import XGBClassifier\n",
    "from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
    "\n",
    "# Load data from CSV file\n",
    "file_path = './data/Diabetes_prediction.csv'\n",
    "df = pd.read_csv(file_path)\n",
    "\n",
    "# Split dataset into features and target variable\n",
    "X = df.drop('Diagnosis', axis=1)\n",
    "y = df['Diagnosis']\n",
    "\n",
    "# Split data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=87)\n",
    "\n",
    "# Calculate class weights\n",
    "class_weights = len(y_train) / (2 * pd.value_counts(y_train))\n",
    "\n",
    "# Initialize XGBoost classifier with class weights\n",
    "clf = XGBClassifier(random_state=42, scale_pos_weight=class_weights[0])\n",
    "\n",
    "# Define hyperparameters grid\n",
    "param_grid = {\n",
    "    'learning_rate': [0.01, 0.1, 0.2],\n",
    "    'n_estimators': [50, 100, 200],\n",
    "    'max_depth': [3, 4, 5],\n",
    "    'min_child_weight': [1, 2, 3],\n",
    "    'subsample': [0.7, 0.8, 0.9],\n",
    "    'colsample_bytree': [0.7, 0.8, 0.9]\n",
    "}\n",
    "\n",
    "# Initialize GridSearchCV\n",
    "grid_search = GridSearchCV(estimator=clf, param_grid=param_grid, cv=5, scoring='accuracy')\n",
    "\n",
    "# Fit the model\n",
    "grid_search.fit(X_train, y_train)\n",
    "\n",
    "# Best parameters\n",
    "print(\"Best Parameters:\", grid_search.best_params_)\n",
    "\n",
    "# Predictions\n",
    "y_pred_train = grid_search.predict(X_train)\n",
    "y_pred_test = grid_search.predict(X_test)\n",
    "\n",
    "# Accuracy for training data\n",
    "accuracy_train = accuracy_score(y_train, y_pred_train)\n",
    "print(f'Accuracy for training data: {accuracy_train * 100:.2f}%')\n",
    "\n",
    "# Accuracy for testing data\n",
    "accuracy_test = accuracy_score(y_test, y_pred_test)\n",
    "print(f'Accuracy for testing data: {accuracy_test * 100:.2f}%')\n",
    "\n",
    "# Classification Report for testing data\n",
    "print(\"Classification Report of XGB Classifier for testing data:\")\n",
    "print(classification_report(y_test, y_pred_test))\n",
    "\n",
    "# Confusion Matrix for testing data\n",
    "print(\"Confusion Matrix for testing data:\")\n",
    "print(confusion_matrix(y_test, y_pred_test))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logistic Regression Accuracy on Training Data: 68.12%\n",
      "Logistic Regression Accuracy on Testing Data: 74.50%\n",
      "Logistic Regression Classification Report:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.74      1.00      0.85       149\n",
      "           1       0.00      0.00      0.00        51\n",
      "\n",
      "    accuracy                           0.74       200\n",
      "   macro avg       0.37      0.50      0.43       200\n",
      "weighted avg       0.56      0.74      0.64       200\n",
      "\n",
      "Logistic Regression Confusion Matrix:\n",
      "[[149   0]\n",
      " [ 51   0]]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "/opt/homebrew/lib/python3.11/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
    "\n",
    "# Load data from CSV file\n",
    "file_path = './data/Diabetes_prediction.csv'\n",
    "df = pd.read_csv(file_path)\n",
    "\n",
    "# Split dataset into features and target variable\n",
    "X = df.drop('Diagnosis', axis=1)\n",
    "y = df['Diagnosis']\n",
    "\n",
    "# Split data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=87)\n",
    "\n",
    "# Initialize standard Logistic Regression classifier\n",
    "log_reg = LogisticRegression(random_state=42, max_iter=10000)  # Increased max_iter for convergence\n",
    "\n",
    "# Fit the Logistic Regression model\n",
    "log_reg.fit(X_train, y_train)\n",
    "\n",
    "# Predictions for Logistic Regression\n",
    "y_pred_train = log_reg.predict(X_train)\n",
    "y_pred_test = log_reg.predict(X_test)\n",
    "\n",
    "# Accuracy for Logistic Regression on training data\n",
    "accuracy_train = accuracy_score(y_train, y_pred_train)\n",
    "print(f'Logistic Regression Accuracy on Training Data: {accuracy_train * 100:.2f}%')\n",
    "\n",
    "# Accuracy for Logistic Regression on testing data\n",
    "accuracy_test = accuracy_score(y_test, y_pred_test)\n",
    "print(f'Logistic Regression Accuracy on Testing Data: {accuracy_test * 100:.2f}%')\n",
    "\n",
    "# Classification Report for Logistic Regression\n",
    "print(\"Logistic Regression Classification Report:\")\n",
    "print(classification_report(y_test, y_pred_test))\n",
    "\n",
    "# Confusion Matrix for Logistic Regression\n",
    "print(\"Logistic Regression Confusion Matrix:\")\n",
    "print(confusion_matrix(y_test, y_pred_test))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# Training and Testing Accuracies for each model\n",
    "train_accuracies = {\n",
    "    'Logistic Regression': 68.12,\n",
    "    'Decision Tree': 74.88,\n",
    "    'Random Forest': 97.75,\n",
    "    'XGBoost': 68.12\n",
    "}\n",
    "\n",
    "test_accuracies = {\n",
    "    'Logistic Regression': 74.50,\n",
    "    'Decision Tree': 67.00,\n",
    "    'Random Forest': 73.50,\n",
    "    'XGBoost': 74.50\n",
    "}\n",
    "\n",
    "# Convert dictionaries to DataFrames\n",
    "df_train = pd.DataFrame(list(train_accuracies.items()), columns=['Model', 'Accuracy'])\n",
    "df_test = pd.DataFrame(list(test_accuracies.items()), columns=['Model', 'Accuracy'])\n",
    "\n",
    "# Merge DataFrames on 'Model'\n",
    "df_accuracies = pd.merge(df_train, df_test, on='Model', suffixes=('_train', '_test'))\n",
    "\n",
    "# Sort DataFrame by Test Accuracy\n",
    "df_accuracies = df_accuracies.sort_values(by='Accuracy_test', ascending=False)\n",
    "\n",
    "# Plotting\n",
    "plt.figure(figsize=(10, 8), dpi=100)  # Reduced figure size and increased DPI\n",
    "bar_width = 0.35\n",
    "index = np.arange(len(df_accuracies['Model']))\n",
    "\n",
    "train_bars = plt.bar(index - bar_width/2, df_accuracies['Accuracy_train'], bar_width, color='lightblue', label='Training Accuracy')\n",
    "test_bars = plt.bar(index + bar_width/2, df_accuracies['Accuracy_test'], bar_width, color='skyblue', label='Testing Accuracy')\n",
    "\n",
    "# Adding text labels on each bar\n",
    "for bar in train_bars + test_bars:\n",
    "    yval = bar.get_height()\n",
    "    plt.text(bar.get_x() + bar.get_width() / 2, yval , f\"{round(yval, 2)}%\", ha='center', va='bottom', fontsize=8)\n",
    "\n",
    "plt.xlabel('Model', fontsize=10)\n",
    "plt.ylabel('Accuracy (%)', fontsize=10)\n",
    "plt.title('Training and Testing Accuracies of Different Models', fontsize=12)\n",
    "plt.xticks(index, df_accuracies['Model'], rotation=0, fontsize=10)\n",
    "plt.yticks(np.arange(0, 101, 10))  # Setting y-axis scale from 0 to 100 with intervals of 10\n",
    "plt.ylim(0, 100)  # Setting y-axis limits\n",
    "plt.legend(fontsize=8)\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
    "\n",
    "# Display the plot\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Combined Classification Report:\n",
      "\n",
      "Decision Tree Classification Report:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.74      0.85      0.79       149\n",
      "           1       0.24      0.14      0.17        51\n",
      "--------------------------------------------------\n",
      "Random Forest Classification Report:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.74      0.99      0.85       149\n",
      "           1       0.00      0.00      0.00        51\n",
      "--------------------------------------------------\n",
      "XGBoost Classifier Classification Report:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.74      1.00      0.85       149\n",
      "           1       0.00      0.00      0.00        51\n",
      "--------------------------------------------------\n",
      "Logistic Regression Classification Report:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.74      1.00      0.85       149\n",
      "           1       0.00      0.00      0.00        51\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Classification Reports for testing data\n",
    "decision_tree_report = \"\"\"\n",
    "Decision Tree Classification Report:\n",
    "              precision    recall  f1-score   support\n",
    "\n",
    "           0       0.74      0.85      0.79       149\n",
    "           1       0.24      0.14      0.17        51\n",
    "\"\"\"\n",
    "\n",
    "random_forest_report = \"\"\"\n",
    "Random Forest Classification Report:\n",
    "              precision    recall  f1-score   support\n",
    "\n",
    "           0       0.74      0.99      0.85       149\n",
    "           1       0.00      0.00      0.00        51\n",
    "\"\"\"\n",
    "\n",
    "xgboost_report = \"\"\"\n",
    "XGBoost Classifier Classification Report:\n",
    "              precision    recall  f1-score   support\n",
    "\n",
    "           0       0.74      1.00      0.85       149\n",
    "           1       0.00      0.00      0.00        51\n",
    "\"\"\"\n",
    "\n",
    "logistic_regression_report = \"\"\"\n",
    "Logistic Regression Classification Report:\n",
    "              precision    recall  f1-score   support\n",
    "\n",
    "           0       0.74      1.00      0.85       149\n",
    "           1       0.00      0.00      0.00        51\n",
    "\"\"\"\n",
    "\n",
    "# Combine classification reports\n",
    "combined_report = f\"\"\"\n",
    "Combined Classification Report:\n",
    "\n",
    "{decision_tree_report.strip()}\n",
    "{'-'*50}\n",
    "{random_forest_report.strip()}\n",
    "{'-'*50}\n",
    "{xgboost_report.strip()}\n",
    "{'-'*50}\n",
    "{logistic_regression_report.strip()}\n",
    "\"\"\"\n",
    "\n",
    "print(combined_report)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Combined Classification Report:\n",
      "\n",
      "Decision Tree Classification Report:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.74      0.85      0.79       149\n",
      "           1       0.24      0.14      0.17        51\n",
      "--------------------------------------------------\n",
      "Random Forest Classification Report:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.74      0.99      0.85       149\n",
      "           1       0.00      0.00      0.00        51\n",
      "--------------------------------------------------\n",
      "XGBoost Classifier Classification Report:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.74      1.00      0.85       149\n",
      "           1       0.00      0.00      0.00        51\n",
      "--------------------------------------------------\n",
      "Logistic Regression Classification Report:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.74      1.00      0.85       149\n",
      "           1       0.00      0.00      0.00        51\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Classification Reports for testing data\n",
    "decision_tree_report = \"\"\"\n",
    "Decision Tree Classification Report:\n",
    "              precision    recall  f1-score   support\n",
    "\n",
    "           0       0.74      0.85      0.79       149\n",
    "           1       0.24      0.14      0.17        51\n",
    "\"\"\"\n",
    "\n",
    "random_forest_report = \"\"\"\n",
    "Random Forest Classification Report:\n",
    "              precision    recall  f1-score   support\n",
    "\n",
    "           0       0.74      0.99      0.85       149\n",
    "           1       0.00      0.00      0.00        51\n",
    "\"\"\"\n",
    "\n",
    "xgboost_report = \"\"\"\n",
    "XGBoost Classifier Classification Report:\n",
    "              precision    recall  f1-score   support\n",
    "\n",
    "           0       0.74      1.00      0.85       149\n",
    "           1       0.00      0.00      0.00        51\n",
    "\"\"\"\n",
    "\n",
    "logistic_regression_report = \"\"\"\n",
    "Logistic Regression Classification Report:\n",
    "              precision    recall  f1-score   support\n",
    "\n",
    "           0       0.74      1.00      0.85       149\n",
    "           1       0.00      0.00      0.00        51\n",
    "\"\"\"\n",
    "\n",
    "# Combine classification reports\n",
    "combined_report = f\"\"\"\n",
    "Combined Classification Report:\n",
    "\n",
    "{decision_tree_report.strip()}\n",
    "{'-'*50}\n",
    "{random_forest_report.strip()}\n",
    "{'-'*50}\n",
    "{xgboost_report.strip()}\n",
    "{'-'*50}\n",
    "{logistic_regression_report.strip()}\n",
    "\"\"\"\n",
    "\n",
    "print(combined_report)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}