machine_pathway.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Feature</th>\n",
       "      <th>Coefficient</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NOU</td>\n",
       "      <td>0.032424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>FJ</td>\n",
       "      <td>1.392696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>EG</td>\n",
       "      <td>0.715292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>NU</td>\n",
       "      <td>1.007443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>K</td>\n",
       "      <td>0.082008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>all</td>\n",
       "      <td>-0.222030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>T</td>\n",
       "      <td>0.217240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>P</td>\n",
       "      <td>-1.214878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>C</td>\n",
       "      <td>-2.640884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>FP</td>\n",
       "      <td>0.539064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>G</td>\n",
       "      <td>1.215222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>E</td>\n",
       "      <td>0.149192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Q</td>\n",
       "      <td>0.650723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>L</td>\n",
       "      <td>0.516274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>GM</td>\n",
       "      <td>-0.085833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>B</td>\n",
       "      <td>0.316851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>KO</td>\n",
       "      <td>0.536556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>D</td>\n",
       "      <td>-0.758539</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Feature  Coefficient\n",
       "0      NOU     0.032424\n",
       "2       FJ     1.392696\n",
       "4       EG     0.715292\n",
       "5       NU     1.007443\n",
       "6        K     0.082008\n",
       "8      all    -0.222030\n",
       "9        T     0.217240\n",
       "10       P    -1.214878\n",
       "12       C    -2.640884\n",
       "13      FP     0.539064\n",
       "17       G     1.215222\n",
       "18       E     0.149192\n",
       "20       Q     0.650723\n",
       "21       L     0.516274\n",
       "22      GM    -0.085833\n",
       "23       B     0.316851\n",
       "24      KO     0.536556\n",
       "26       D    -0.758539"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LassoCV\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.model_selection import train_test_split\n",
    "import pandas as pd\n",
    "\n",
    "# Load the CSV data\n",
    "data = pd.read_csv('excel/results_with_env.csv')\n",
    "data.head()\n",
    "\n",
    "\n",
    "# Define the predictors and the target variable\n",
    "predictors = [\"NOU\", \"N\", \"FJ\", \"M\", \"EG\", \"NU\", \"K\", \"O\", \"all\", \"T\", \"P\", \"FG\", \"C\", \"FP\", \"H\", \"MU\", \"F\", \"G\", \"E\",\n",
    "              \"S\", \"Q\", \"L\", \"GM\", \"B\", \"KO\", \"J\", \"D\"]\n",
    "target = \"GC\"\n",
    "\n",
    "# Split the data into training and test sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(data[predictors], data[target], test_size=0.2, random_state=42)\n",
    "\n",
    "# Standardize the predictors\n",
    "scaler = StandardScaler()\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.transform(X_test)\n",
    "\n",
    "# Fit the Lasso model\n",
    "lasso = LassoCV(cv=5, random_state=0).fit(X_train_scaled, y_train)\n",
    "# Get the coefficients of the model\n",
    "coefficients = pd.DataFrame({\"Feature\": predictors, \"Coefficient\": lasso.coef_})\n",
    "\n",
    "# Filter out the features with zero coefficient (not important for the model)\n",
    "important_features = coefficients[coefficients[\"Coefficient\"] != 0]\n",
    "\n",
    "# Display the important features\n",
    "important_features\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from sklearn.metrics import mean_squared_error\n",
    "import numpy as np\n",
    "\n",
    "# Use the model to make predictions\n",
    "y_train_pred = lasso.predict(X_train_scaled)\n",
    "y_test_pred = lasso.predict(X_test_scaled)\n",
    "\n",
    "# Calculate the root mean squared error for the training and testing sets\n",
    "rmse_train = np.sqrt(mean_squared_error(y_train, y_train_pred))\n",
    "rmse_test = np.sqrt(mean_squared_error(y_test, y_test_pred))\n",
    "\n",
    "# Create a scatter plot of the actual vs. predicted values\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.scatter(y_train, y_train_pred, label='Train (RMSE = {:.2f})'.format(rmse_train), alpha=0.7)\n",
    "plt.scatter(y_test, y_test_pred, label='Test (RMSE = {:.2f})'.format(rmse_test), alpha=0.7)\n",
    "plt.plot([min(y_train.min(), y_test.min()), max(y_train.max(), y_test.max())], \n",
    "         [min(y_train.min(), y_test.min()), max(y_train.max(), y_test.max())], 'k--')\n",
    "plt.xlabel('Actual GC')\n",
    "plt.ylabel('Predicted GC')\n",
    "plt.title('Actual vs. Predicted GC')\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.7788979185014238, 0.6682726201025133)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import r2_score\n",
    "\n",
    "# Calculate the R^2 score for the training and testing sets\n",
    "r2_train = r2_score(y_train, y_train_pred)\n",
    "r2_test = r2_score(y_test, y_test_pred)\n",
    "\n",
    "r2_train, r2_test\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAArMAAAIQCAYAAACSb+ZbAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/P9b71AAAACXBIWXMAAA9hAAAPYQGoP6dpAABDy0lEQVR4nO3deVxU9f7H8feALCqCO6iRC3nNXXJBtEwLxSW7mqap5Z5dK7W4Vtrilkm5FOWSqamVC7jfrqampJVpmVubSz8VlwxwQTYXCGZ+f/hwbqOAzDgwHHw9H495PDzf+Z5zPjPq8e2X7/kek8VisQgAAAAwIDdXFwAAAAA4ijALAAAAwyLMAgAAwLAIswAAADAswiwAAAAMizALAAAAwyLMAgAAwLAIswAAADAswiwAAAAMizALwGnS09M1dOhQBQQEyGQy6YUXXnB1SbflxIkTMplMWrx4sUP7m0wmTZgwwak1FTUDBw5UjRo1XF1GvtSoUUMDBw50dRkAnIwwCxjA4sWLZTKZZDKZtGPHjpvet1gsCgwMlMlk0iOPPJLjMZKTk+Xt7S2TyaRDhw7l2GfgwIHW89z48vb2vmWdU6ZM0eLFizV8+HB99tlneuqpp+z7oPk0YcKEXOv8+6tt27YFcn7k39//7Ob1clYg3rlzpyZMmKDk5GSnHM9Z0tPTNX78eDVo0EClS5dWhQoV1KRJE40aNUp//vmn3cc7ePCgJkyYoBMnTji/WMBgSri6AAD55+3trWXLlun++++3af/666/1xx9/yMvLK9d9V65cKZPJpICAAC1dulSTJ0/OsZ+Xl5cWLFhwU7u7u/st6/vqq6/UsmVLjR8//pZ9b8djjz2me+65x7qdnp6u4cOHq3v37nrssces7f7+/rd1nurVq+vKlSvy8PBwaP8rV66oRIk7+zLbpk0bffbZZzZtQ4cOVYsWLTRs2DBrm4+Pj1POt3PnTk2cOFEDBw5U2bJlbd47cuSI3NwKfwznr7/+Ups2bXT48GENGDBAI0aMUHp6un777TctW7ZM3bt3V9WqVe065sGDBzVx4kS1bdvWMCPjQEG5s6+ygMF07txZK1eu1AcffGATkpYtW6amTZvq/Pnzue67ZMkSde7cWdWrV9eyZctyDbMlSpTQk08+6VB9Z8+eVb169RzaNydZWVkym83y9PS0aW/UqJEaNWpk3T5//ryGDx+uRo0a5Vn71atX5enpme9Ak98R6dzczr7FRa1atVSrVi2btn/961+qVauWw3/OHJXXf/YK0rp167R//34tXbpUffv2tXnv6tWryszMdEldQHHBNAPAQPr06aMLFy5oy5Yt1rbMzEytWrXqpn8k/+7UqVP69ttv9cQTT+iJJ55QXFycdu7c6bS6tm/fLpPJpLi4OG3YsMH6o+PrPwI9e/ashgwZIn9/f3l7e6tx48b65JNPbI5xfX7q9OnTFRUVpaCgIHl5eengwYO3VVN0dLRef/11VatWTaVKlVJqaqqSkpI0evRoNWzYUD4+PvL19VWnTp30008/5VjT3+fMDhw4UD4+Pjpz5oy6desmHx8fVapUSaNHj1Z2drbN/jfOmb0+PeLo0aPWkUM/Pz8NGjRIly9fttn3ypUrGjlypCpWrKgyZcro0Ucf1ZkzZ/I1DzczM1Pjxo1T06ZN5efnp9KlS+uBBx7Qtm3bcvx806dP17x586zfefPmzfXjjz/edNx169apQYMG8vb2VoMGDbR27do867DHmTNnNHjwYPn7+8vLy0v169fXwoULb+o3c+ZM1a9fX6VKlVK5cuXUrFkzLVu2TNK17/ell16SJNWsWfOmP4c3zpm9PgXiu+++U0REhCpVqqTSpUure/fuOnfunM15zWazJkyYoKpVq6pUqVJq166dDh48mK95uMeOHZMktW7d+qb3vL295evra9N2+PBh9ezZU+XLl5e3t7eaNWumzz//3Kbuxx9/XJLUrl076+fcvn27JGnPnj0KDw9XxYoVVbJkSdWsWVODBw/Os0bAyBiZBQykRo0aCg0N1fLly9WpUydJ0saNG5WSkqInnnhCH3zwQY77LV++XKVLl9YjjzyikiVLKigoSEuXLlWrVq1y7J/TCK+np+dN/+heV7duXX322Wd68cUXddddd+nf//63JKlSpUq6cuWK2rZtq6NHj+r5559XzZo1tXLlSg0cOFDJyckaNWqUzbEWLVqkq1evatiwYfLy8lL58uXz/f3k5M0335Snp6dGjx6tjIwMeXp66uDBg1q3bp0ef/xx1axZU4mJifroo4/04IMP6uDBg7f8kW92drbCw8MVEhKi6dOna+vWrZoxY4aCgoI0fPjwW9bUq1cv1axZU5GRkdq3b58WLFigypUr65133rH2GThwoFasWKGnnnpKLVu21Ndff60uXbrk6zOnpqZqwYIF6tOnj55++mmlpaXp448/Vnh4uHbv3q0mTZrY9F+2bJnS0tL0zDPPyGQyaerUqXrsscd0/Phx6xSLL7/8Uj169FC9evUUGRmpCxcuaNCgQbrrrrvyVVNeEhMT1bJlS5lMJj3//POqVKmSNm7cqCFDhig1NdV6I+H8+fM1cuRI9ezZU6NGjdLVq1f1888/64cfflDfvn312GOP6ffff9fy5cv13nvvqWLFipKu/TnMy4gRI1SuXDmNHz9eJ06cUFRUlJ5//nnFxMRY+4wdO1ZTp05V165dFR4erp9++knh4eG6evXqLT9f9erVJUmffvqpXn/9dZlMplz7/vbbb2rdurWqVaumMWPGqHTp0lqxYoW6deum1atXq3v37mrTpo1GjhypDz74QK+++qrq1q0r6drfw7Nnz6pDhw6qVKmSxowZo7Jly+rEiRNas2bNLesEDMsCoMhbtGiRRZLlxx9/tMyaNctSpkwZy+XLly0Wi8Xy+OOPW9q1a2exWCyW6tWrW7p06XLT/g0bNrT069fPuv3qq69aKlasaPnrr79s+g0YMMAiKcdXeHj4LevM6fxRUVEWSZYlS5ZY2zIzMy2hoaEWHx8fS2pqqsVisVji4uIskiy+vr6Ws2fP5vObuebcuXMWSZbx48db27Zt22aRZKlVq5b1u7ru6tWrluzsbJu2uLg4i5eXl2XSpEk2bZIsixYtsrZd/47+3s9isViCg4MtTZs2tWm7sabx48dbJFkGDx5s06979+6WChUqWLf37t1rkWR54YUXbPoNHDjwpmPmJCsry5KRkWHTdvHiRYu/v7/Nua9/vgoVKliSkpKs7f/5z38skiz//e9/rW1NmjSxVKlSxZKcnGxt+/LLLy2SLNWrV8+znhuVLl3aMmDAAOv2kCFDLFWqVLGcP3/ept8TTzxh8fPzs/7+/fOf/7TUr18/z2NPmzbNIskSFxd303vVq1e3Oe/1v1dhYWEWs9lsbX/xxRct7u7u1s+akJBgKVGihKVbt242x5swYYJFks0xc3L58mVLnTp1rN/VwIEDLR9//LElMTHxpr4PP/ywpWHDhparV69a28xms6VVq1aW2rVrW9tWrlxpkWTZtm2bzf5r1661XiuAOwXTDACD6dWrl65cuaL169crLS1N69evz3OKwc8//6xffvlFffr0sbb16dNH58+f1+bNm2/q7+3trS1bttz0evvttx2q94svvlBAQIDN+T08PDRy5Eilp6fr66+/tunfo0ePW46k2WPAgAEqWbKkTZuXl5d13mx2drYuXLggHx8f1alTR/v27cvXcf/1r3/ZbD/wwAM6fvy4w/teuHBBqampkqRNmzZJkp599lmbfiNGjMjX8d3d3a3zjM1ms5KSkpSVlaVmzZrl+Pl69+6tcuXK2dQjyfp54uPjdeDAAQ0YMEB+fn7Wfu3bt7/tOdIWi0WrV69W165dZbFYdP78eesrPDxcKSkp1prLli2rP/74I8cpELdj2LBhNqOlDzzwgLKzs3Xy5ElJUmxsrLKyshz+/ShZsqR++OEH6xSIxYsXa8iQIapSpYpGjBihjIwMSVJSUpK++uor9erVS2lpadbv4cKFCwoPD9f//d//6cyZM3me6/pNb+vXr9dff/2Vr/oAo2OaAWAwlSpVUlhYmJYtW6bLly8rOztbPXv2zLX/kiVLVLp0adWqVUtHjx6VdC2w1qhRQ0uXLr3pR9fu7u4KCwtzWr0nT55U7dq1b7rp6vqPRq8Hhutq1qzptHPndjyz2az3339fc+bMUVxcnM1c1woVKtzymN7e3jcF7nLlyunixYv5qunuu+++aV9Junjxonx9fXXy5Em5ubndVPvfV3C4lU8++UQzZszQ4cOHbUJNTt9HXvVI//s9ql279k372vMfgJycO3dOycnJmjdvnubNm5djn7Nnz0qSXnnlFW3dulUtWrTQPffcow4dOqhv3745zkW1R34//43ff/ny5W3+E5AXPz8/TZ06VVOnTtXJkycVGxur6dOna9asWfLz89PkyZN19OhRWSwWvfHGG3rjjTdyPM7Zs2dVrVq1XM/z4IMPqkePHpo4caLee+89tW3bVt26dVPfvn1ddgMcUNAIs4AB9e3bV08//bQSEhLUqVOnm5Ygus5isWj58uW6dOlSjiNoZ8+eVXp6utOWRXKGG0dRC+J4U6ZM0RtvvKHBgwfrzTffVPny5eXm5qYXXnhBZrP5lsfMzzJljuxvsVhu67jXLVmyRAMHDlS3bt300ksvqXLlynJ3d1dkZKT1ZqTCrCcv17/vJ598UgMGDMixz/WVK+rWrasjR45o/fr12rRpk1avXq05c+Zo3LhxmjhxosM1FPbnr169ugYPHqzu3burVq1a1qXyrn8Xo0ePVnh4eI773uo/NCaTSatWrdL333+v//73v9q8ebMGDx6sGTNm6Pvvvy9Sf9cBZyHMAgbUvXt3PfPMM/r+++9tblK50fX1ZydNmmQdCb3u4sWLGjZsmNatW1egSyRVr15dP//8s8xms83o7OHDh63vF7ZVq1apXbt2+vjjj23ak5OTrTcNuVL16tVlNpsVFxdnMxp6fWT9VlatWqVatWppzZo1Nj8+d3T93+u/R//3f/9303tHjhxx6JjXVapUSWXKlFF2dna+fiJQunRp9e7dW71791ZmZqYee+wxvfXWWxo7dqz1oSDOdv3zHz161GZk+8KFC/kejc9JuXLlFBQUpF9//VWSrEuYeXh43PK7uNXnbNmypVq2bKm33npLy5YtU79+/RQdHa2hQ4c6XC9QVDFnFjAgHx8fffjhh5owYYK6du2aa7/rUwxeeukl9ezZ0+b19NNPq3bt2lq6dGmB1tq5c2clJCTYhO6srCzNnDlTPj4+evDBBwv0/Dlxd3e/adRt5cqVt5yPWFiuj8rNmTPHpn3mzJn52v/6SOPfP+MPP/ygXbt2OVRPlSpV1KRJE33yySdKSUmxtm/ZssXhpdP+XmuPHj20evVqa6j7u78vkXXhwgWb9zw9PVWvXj1ZLBbrVIrSpUtLklOfAPbwww+rRIkS+vDDD23aZ82ala/9f/rppxxXCDl58qQOHjyoOnXqSJIqV66stm3b6qOPPlJ8fPxN/f/+XeT2OS9evHjTn+3rq1dcn5sLFDeMzAIGlduPZK/LyMjQ6tWr1b59+1wX73/00Uf1/vvv6+zZs6pcubKka0FzyZIlOfbv3r279R/R/Bo2bJg++ugjDRw4UHv37lWNGjW0atUqfffdd4qKilKZMmXsOp4zPPLII5o0aZIGDRqkVq1a6ZdfftHSpUtvWtzfVZo2baoePXooKipKFy5csC7N9fvvv0u69ajcI488ojVr1qh79+7q0qWL4uLiNHfuXNWrV0/p6ekO1RQZGakuXbro/vvv1+DBg5WUlGRd89XRY1739ttva9u2bQoJCdHTTz+tevXqKSkpSfv27dPWrVuVlJQkSerQoYMCAgLUunVr+fv769ChQ5o1a5a6dOli/XPUtGlTSdJrr72mJ554Qh4eHuratavdf27/zt/fX6NGjdKMGTP06KOPqmPHjvrpp5+0ceNGVaxY8Za/H1u2bNH48eP16KOPqmXLlvLx8dHx48e1cOFCZWRk2KwbPHv2bN1///1q2LChnn76adWqVUuJiYnatWuX/vjjD+tayE2aNJG7u7veeecdpaSkyMvLSw899JCWLVumOXPmqHv37goKClJaWprmz58vX19fde7c2eHvACjKCLNAMbVhwwYlJyfnOXLbtWtXzZgxQ9HR0Ro5cqSkayH4qaeeyrF/XFyc3aGgZMmS2r59u8aMGaNPPvlEqampqlOnjhYtWnTLxeYLyquvvqpLly5p2bJliomJ0X333acNGzZozJgxLqknJ59++qkCAgK0fPlyrV27VmFhYYqJiVGdOnVu+WSxgQMHKiEhQR999JE2b96sevXqacmSJVq5cqV1YX17dezYUStXrtTrr7+usWPHKigoSIsWLdJ//vMfh495nb+/v3bv3q1JkyZpzZo1mjNnjipUqKD69evbrL37zDPPaOnSpXr33XeVnp6uu+66SyNHjtTrr79u7dO8eXO9+eabmjt3rjZt2mSdrnE7YVaS3nnnHZUqVUrz58/X1q1bFRoaqi+//FL333//LX8/evToobS0NH355Zf66quvlJSUpHLlyqlFixb697//rXbt2ln71qtXT3v27NHEiRO1ePFiXbhwQZUrV1ZwcLDGjRtn7RcQEKC5c+cqMjJSQ4YMUXZ2trZt26YHH3xQu3fvVnR0tBITE+Xn56cWLVpo6dKlTr+5EigqTJbCmOEPALhtBw4cUHBwsJYsWaJ+/fq5upw7XnJyssqVK6fJkyfrtddec3U5wB2LObMAUARduXLlpraoqCi5ubmpTZs2Lqjozpbb74cktW3btnCLAWCDaQYAUARNnTpVe/fuVbt27VSiRAlt3LhRGzdu1LBhwxQYGOjq8u44MTExWrx4sTp37iwfHx/t2LFDy5cvV4cOHW57nVsAt4dpBgBQBG3ZskUTJ07UwYMHlZ6errvvvltPPfWUXnvtNZUowThEYdu3b59efvllHThwQKmpqfL391ePHj00efJk1m4FXIwwCwAAAMNiziwAAAAMizALAAAAw7rjJl6ZzWb9+eefKlOmTIE89hAAAAC3x2KxKC0tTVWrVrV5FHpO7rgw++eff3InMAAAgAGcPn1ad911V5597rgwe/2Rh6dPn5avr6+LqwEAAMCNUlNTFRgYmK9Hnt9xYfb61AJfX1/CLAAAQBGWnymh3AAGAAAAwyLMAgAAwLAIswAAADAswiwAAAAMizALAAAAwyLMAgAAwLAIswAAADAswiwAAAAMizALAAAAwyLMAgAAwLAIswAAADAswiwAAAAMizALAAAAwyLMAgAAwLAIswAAADAsl4bZb775Rl27dlXVqlVlMpm0bt26PPuvWbNG7du3V6VKleTr66vQ0FBt3ry5cIoFAABAkePSMHvp0iU1btxYs2fPzlf/b775Ru3bt9cXX3yhvXv3ql27duratav2799fwJUCAACgKDJZLBaLq4uQJJPJpLVr16pbt2527Ve/fn317t1b48aNy1f/1NRU+fn5KSUlRb6+vg5UCgAAgIJkT14rUUg1FQiz2ay0tDSVL18+1z4ZGRnKyMiwbqemphZGaQAAACgEhg6z06dPV3p6unr16pVrn8jISE2cOLEQqwKAO5DJ5OoKABS0ovHD/JsYNswuW7ZMEydO1H/+8x9Vrlw5135jx45VRESEdTs1NVWBgYGFUaIV13jgzlBEr/MAUKwZMsxGR0dr6NChWrlypcLCwvLs6+XlJS8vr0KqDAAAAIXJcOvMLl++XIMGDdLy5cvVpUsXV5cDAAAAF3LpyGx6erqOHj1q3Y6Li9OBAwdUvnx53X333Ro7dqzOnDmjTz/9VNK1qQUDBgzQ+++/r5CQECUkJEiSSpYsKT8/P5d8BgAAALiOS0dm9+zZo+DgYAUHB0uSIiIiFBwcbF1mKz4+XqdOnbL2nzdvnrKysvTcc8+pSpUq1teoUaNcUj8AAABcq8isM1tYXLHOLDeAAXeGO+tqegMudEDxV4gXOXvymuHmzAIAAADXEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWC4Ns9988426du2qqlWrymQyad26dbfcZ/v27brvvvvk5eWle+65R4sXLy7wOgEAAFA0uTTMXrp0SY0bN9bs2bPz1T8uLk5dunRRu3btdODAAb3wwgsaOnSoNm/eXMCVAgAAoCgq4cqTd+rUSZ06dcp3/7lz56pmzZqaMWOGJKlu3brasWOH3nvvPYWHhxdUmQAAACiiDDVndteuXQoLC7NpCw8P165du3LdJyMjQ6mpqTYvAAAAFA+GCrMJCQny9/e3afP391dqaqquXLmS4z6RkZHy8/OzvgIDAwujVAAAABQCQ4VZR4wdO1YpKSnW1+nTp11dEgAAAJzEpXNm7RUQEKDExESbtsTERPn6+qpkyZI57uPl5SUvL6/CKA8AAACFzFAjs6GhoYqNjbVp27Jli0JDQ11UEQAAAFzJpWE2PT1dBw4c0IEDByRdW3rrwIEDOnXqlKRrUwT69+9v7f+vf/1Lx48f18svv6zDhw9rzpw5WrFihV588UVXlA8AAAAXc2mY3bNnj4KDgxUcHCxJioiIUHBwsMaNGydJio+PtwZbSapZs6Y2bNigLVu2qHHjxpoxY4YWLFjAslwAAAB3KJPFYrG4uojClJqaKj8/P6WkpMjX17dQzmkyFcppALjYnXU1vQEXOqD4K8SLnD15zVBzZgEAAIC/I8wCAADAsAizAAAAMCzCLAAAAAyLMAsAAADDIswCAADAsAizAAAAMCzCLAAAAAyLMAsAAADDIswCAADAsAizAAAAMCzCLAAAAAyLMAsAAADDIswCAADAsAizAAAAMCzCLAAAAAyLMAsAAADDIswCAADAsAizAAAAMCzCLAAAAAyLMAsAAADDIswCAADAsAizAAAAMCzCLAAAAAyLMAsAAADDIswCAADAsAizAAAAMCzCLAAAAAyLMAsAAADDIswCAADAsAizAAAAMCzCLAAAAAyLMAsAAADDIswCAADAsAizAAAAMCzCLAAAAAyLMAsAAADDIswCAADAsEo4slNcXJy+/fZbnTx5UpcvX1alSpUUHBys0NBQeXt7O7tGAAAAIEd2hdmlS5fq/fff1549e+Tv76+qVauqZMmSSkpK0rFjx+Tt7a1+/frplVdeUfXq1QuqZgAAAECSHWE2ODhYnp6eGjhwoFavXq3AwECb9zMyMrRr1y5FR0erWbNmmjNnjh5//HGnFwwAAABcZ7JYLJb8dNy8ebPCw8PzddALFy7oxIkTatq06W0VVxBSU1Pl5+enlJQU+fr6Fso5TaZCOQ0AF8vf1bSY4kIHFH+FeJGzJ6/le2Q2v0FWkipUqKAKFSrkuz8AAADgCLtWM1ixYoUyMzOt23/88YfMZrN1+/Lly5o6darzqgMAAADyYFeY7dOnj5KTk63b9erV04kTJ6zbaWlpGjt2rLNqAwAAAPJkV5i9cXptPqfbAgAAAAWChyYAAADAsAizAAAAMCy7nwC2efNm+fn5SZLMZrNiY2P166+/SpLNfFoAAACgoOV7nVlJcnPL30Du31c4KGpYZxZAQbmjbyPgQgcUf0ZfZ1Yq2iEVAAAAdx6nzpk1m81av369Mw8JAAAA5MruObM5OXr0qBYuXKjFixfr3Llz+uuvv5xxWAAAACBPDo/MXrlyRZ9++qnatGmjOnXqaOfOnRo3bpz++OMPZ9YHAAAA5Mrukdkff/xRCxYsUHR0tIKCgtSvXz/t3LlTc+bMUb169QqiRgAAACBHdoXZRo0aKTU1VX379tXOnTtVv359SdKYMWMKpDgAAAAgL3ZNMzhy5IjatGmjdu3aMQoLAAAAl7MrzB4/flx16tTR8OHDddddd2n06NHav3+/TKwvCAAAABewK8xWq1ZNr732mo4eParPPvtMCQkJat26tbKysrR48WL9/vvvBVUnAAAAcBOHVzN46KGHtGTJEsXHx2vWrFn66quvdO+996pRo0bOrA8AAADI1W0/NMHPz0/PPvus9uzZo3379qlt27ZOKAsAAAC4NZPFcmc9TdyeZ/06C1OKgTvDnXU1vQEXOqD4K8SLnD15za6luR566KFb9jGZTIqNjc33MWfPnq1p06YpISFBjRs31syZM9WiRYtc+0dFRenDDz/UqVOnVLFiRfXs2VORkZHy9vbO9zkBAABQPNgVZrdv367q1aurS5cu8vDwuO2Tx8TEKCIiQnPnzlVISIiioqIUHh6uI0eOqHLlyjf1X7ZsmcaMGaOFCxeqVatW+v333zVw4ECZTCa9++67t10PAAAAjMWuaQbTpk3TokWLdOHCBfXr10+DBw9WgwYNHD55SEiImjdvrlmzZkmSzGazAgMDNWLEiBwfxPD888/r0KFDNiO///73v/XDDz9ox44d+Ton0wwAFBSmGQAo1oroNAO7bgB76aWXdPDgQa1bt05paWlq3bq1WrRooblz5yo1NdWuIjMzM7V3716FhYX9rxg3N4WFhWnXrl057tOqVSvt3btXu3fvlnRt3dsvvvhCnTt3tuvcAAAAKB4cWs0gNDRU8+fPV3x8vJ577jktXLhQVatWtSvQnj9/XtnZ2fL397dp9/f3V0JCQo779O3bV5MmTdL9998vDw8PBQUFqW3btnr11VdzPU9GRoZSU1NtXgAAACgebmtprn379unrr7/WoUOH1KBBA6fMo83L9u3bNWXKFM2ZM0f79u3TmjVrtGHDBr355pu57hMZGSk/Pz/rKzAwsEBrBAAAQOGxO8z++eefmjJliv7xj3+oZ8+eKl++vH744Qd9//33KlmyZL6PU7FiRbm7uysxMdGmPTExUQEBATnu88Ybb+ipp57S0KFD1bBhQ3Xv3l1TpkxRZGSkzGZzjvuMHTtWKSkp1tfp06fz/2EBAABQpNkVZjt37qygoCD98MMPmjZtmv744w9Nnz5d9erVs/vEnp6eatq0qc3NXGazWbGxsQoNDc1xn8uXL8vNzbZkd3d3SVJu97F5eXnJ19fX5gUAAIDiwa7VDNzc3FSlShVVrlxZpjzuXN23b1++jhcTE6MBAwboo48+UosWLRQVFaUVK1bo8OHD8vf3V//+/VWtWjVFRkZKkiZMmKB3331X8+bNU0hIiI4eParhw4eradOmiomJydc5Wc0AQEFhNQMAxVoRXc3ArnVmx48ff1uF3ah37946d+6cxo0bp4SEBDVp0kSbNm2y3hR26tQpm5HY119/XSaTSa+//rrOnDmjSpUqqWvXrnrrrbecWhcAAACMgcfZFgIGLIA7w511Nb0BFzqg+CuiI7O3tZoBAAAA4Er5DrMdO3bU999/f8t+aWlpeueddzR79uzbKgwAAAC4lXzPmX388cfVo0cP+fn5qWvXrmrWrJmqVq0qb29vXbx4UQcPHtSOHTv0xRdfqEuXLpo2bVpB1g0AAADYN2c2IyNDK1euVExMjHbs2KGUlJRrBzGZVK9ePYWHh2vIkCGqW7dugRV8u5gzC6CgMGcWQLFWROfM3tYNYCkpKbpy5YoqVKhQ4E//chbCLICCQpgFUKwV0TBr19JcN7r+iFgAAADAFVjNAAAAAIZFmAUAAIBhEWYBAABgWHaH2ezsbH3zzTdKTk4ugHIAAACA/LM7zLq7u6tDhw66ePFiQdQDAAAA5JtD0wwaNGig48ePO7sWAAAAwC4OhdnJkydr9OjRWr9+veLj45WammrzAgAAAAqDQw9NcHP7XwY2/W2hbIvFIpPJpOzsbOdUVwB4aAKAgsJDEwAUa8XpoQnbtm1zqDAAAADAmRwKsw8++KCz6wAAAADs5vDjbJOTk/Xxxx/r0KFDkqT69etr8ODBPN4WAAAAhcahG8D27NmjoKAgvffee0pKSlJSUpLeffddBQUFad++fc6uEQAAAMiRQzeAPfDAA7rnnns0f/58lShxbXA3KytLQ4cO1fHjx/XNN984vVBn4QYwAAWFG8AAFGtF9AYwh8JsyZIltX//ft1777027QcPHlSzZs10+fJlew9ZaAizAAoKYRZAsVZEw6xD0wx8fX116tSpm9pPnz6tMmXKOHJIAAAAwG4OhdnevXtryJAhiomJ0enTp3X69GlFR0dr6NCh6tOnj7NrBAAAAHLk0GoG06dPl8lkUv/+/ZWVlSVJ8vDw0PDhw/X22287tUAAAAAgN3bPmc3OztZ3332nhg0bysvLS8eOHZMkBQUFqVSpUgVSpDMxZxZAQWHOLIBirYjOmbV7ZNbd3V0dOnTQoUOHVLNmTTVs2NDhQgEAAIDb4dCc2QYNGuj48ePOrgUAAACwi0NhdvLkyRo9erTWr1+v+Ph4paam2rwAAACAwuDQOrNubv/LwKa/zZOyWCwymUzKzs52TnUFgDmzAAoKc2YBFGvFZc6sJG3bts2hwgAAAABnsjvM/vXXX5o0aZLmzp2r2rVrF0RNAAAAQL7YPWfWw8NDP//8c0HUAgAAANjFoRvAnnzySX388cfOrgUAAACwi0NzZrOysrRw4UJt3bpVTZs2VenSpW3ef/fdd51SHAAAAJAXh8Lsr7/+qvvuu0+S9Pvvv9u8Z+KOVgAAABQSVjMAAACAYTk0ZzYvZ8+edfYhAQAAgBzZFWZLlSqlc+fOWbe7dOmi+Ph463ZiYqKqVKnivOoAAACAPNgVZq9evaq/PzDsm2++0ZUrV2z6OPBAMQAAAMAhTp9mwA1gAAAAKCxOD7MAAABAYbErzJpMJpuR1xu3AQAAgMJk19JcFotF//jHP6wBNj09XcHBwXJzc7O+DwAAABQWu8LsokWLCqoOAAAAwG52hdkBAwYUVB0AAACA3bgBDAAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGNZthdnMzEwdOXJEWVlZzqoHAAAAyDeHwuzly5c1ZMgQlSpVSvXr19epU6ckSSNGjNDbb7/t1AIBAACA3DgUZseOHauffvpJ27dvl7e3t7U9LCxMMTExTisOAAAAyItd68xet27dOsXExKhly5Y2j7OtX7++jh075rTiAAAAgLw4NDJ77tw5Va5c+ab2S5cu2YRbAAAAoCA5FGabNWumDRs2WLevB9gFCxYoNDTUOZUBAAAAt+DQNIMpU6aoU6dOOnjwoLKysvT+++/r4MGD2rlzp77++mtn1wgAAADkyKGR2fvvv18HDhxQVlaWGjZsqC+//FKVK1fWrl271LRpU2fXCAAAAOTIZLFYLK4uojClpqbKz89PKSkp8vX1LZRzMo0YuDPcWVfTG3ChA4q/QrzI2ZPXHBqZdXd319mzZ29qv3Dhgtzd3R05JAAAAGA3h8JsboO5GRkZ8vT0vK2CAAAAgPyy6wawDz74QNK11QsWLFggHx8f63vZ2dn65ptvdO+99zq3QgAAACAXdoXZ9957T9K1kdm5c+faTCnw9PRUjRo1NHfuXOdWCAAAAOTCrjAbFxcnSWrXrp3WrFmjcuXKFUhRAAAAQH44tM7stm3bnF0HAAAAYDeHwuzgwYPzfH/hwoX5Ptbs2bM1bdo0JSQkqHHjxpo5c6ZatGiRa//k5GS99tprWrNmjZKSklS9enVFRUWpc+fO+T4nAAAAigeHwuzFixdttv/66y/9+uuvSk5O1kMPPZTv48TExCgiIkJz585VSEiIoqKiFB4eriNHjqhy5co39c/MzFT79u1VuXJlrVq1StWqVdPJkydVtmxZRz4GAAAADM5pD00wm80aPny4goKC9PLLL+drn5CQEDVv3lyzZs2yHiMwMFAjRozQmDFjbuo/d+5cTZs2TYcPH5aHh4dDdfLQBAAFhYcmACjWitNDE3I8kJubIiIirCse3EpmZqb27t2rsLAwm2OEhYVp165dOe7z+eefKzQ0VM8995z8/f3VoEEDTZkyRdnZ2bmeJyMjQ6mpqTYvAAAAFA9OC7OSdOzYMWVlZeWr7/nz55WdnS1/f3+bdn9/fyUkJOS4z/Hjx7Vq1SplZ2friy++0BtvvKEZM2Zo8uTJuZ4nMjJSfn5+1ldgYGD+PxAAAACKNIfmzEZERNhsWywWxcfHa8OGDRowYIBTCsuJ2WxW5cqVNW/ePLm7u6tp06Y6c+aMpk2bpvHjx+e4z9ixY23qTU1NJdACAAAUEw6F2f3799tsu7m5qVKlSpoxY8YtVzq4rmLFinJ3d1diYqJNe2JiogICAnLcp0qVKvLw8LB5WEPdunWVkJCgzMzMHB+l6+XlJS8vr3zVBAAAAGNx2Tqznp6eatq0qWJjY9WtWzdJ10ZeY2Nj9fzzz+e4T+vWrbVs2TKZzWa5uV2bIfH777+rSpUqOQZZAAAAFG9OnTNrr4iICM2fP1+ffPKJDh06pOHDh+vSpUsaNGiQJKl///4aO3astf/w4cOVlJSkUaNG6ffff9eGDRs0ZcoUPffcc676CAAAAHChfI/MBgcHy5TPpVf27duXr369e/fWuXPnNG7cOCUkJKhJkybatGmT9aawU6dOWUdgJSkwMFCbN2/Wiy++qEaNGqlatWoaNWqUXnnllfx+DAAAABQj+V5nduLEifk+aG43YxUFrDMLoKCwziyAYq2IrjPrtIcmGAVhFkBBubOupjfgQgcUf0U0zDp0A9h1e/fu1aFDhyRJ9evXV3Bw8O0cDgAAALCLQ2H27NmzeuKJJ7R9+3aVLVtWkpScnKx27dopOjpalSpVcmaNAAAAQI4cWs1gxIgRSktL02+//aakpCQlJSXp119/VWpqqkaOHOnsGgEAAIAcOTRn1s/PT1u3blXz5s1t2nfv3q0OHTooOTnZWfU5HXNmARQU5swCKNaK6JxZh0ZmzWazPDw8bmr38PCQ2Wx25JAAAACA3RwKsw899JBGjRqlP//809p25swZvfjii3r44YedVhwAAACQF4fC7KxZs5SamqoaNWooKChIQUFBqlmzplJTUzVz5kxn1wgAAADkyKHVDAIDA7Vv3z5t3bpVhw8fliTVrVtXYWFhTi0OAAAAyIvTHpqQnJxsXaarKOMGMAAFhRvAABRrxekGsHfeeUcxMTHW7V69eqlChQqqVq2afvrpJ0cOCQAAANjNoTA7d+5cBQYGSpK2bNmiLVu2aOPGjerUqZNeeuklpxYIAAAA5MahObMJCQnWMLt+/Xr16tVLHTp0UI0aNRQSEuLUAgEAAIDcODQyW65cOZ0+fVqStGnTJuuNXxaLRdnZ2c6rDgAAAMiDQyOzjz32mPr27avatWvrwoUL6tSpkyRp//79uueee5xaIAAAAJAbh8Lse++9pxo1auj06dOaOnWqfHx8JEnx8fF69tlnnVogAAAAkBunLc1lFCzNBaCg3FlX0xtwoQOKvyK6NJdDI7OSdOTIEc2cOVOHDh2SdO2hCSNGjFCdOnUcPSQAAABgF4duAFu9erUaNGigvXv3qnHjxmrcuLH27dunBg0aaPXq1c6uEQAAAMiRQ9MMgoKC1K9fP02aNMmmffz48VqyZImOHTvmtAKdjWkGAAoK0wwAFGtFdJqBQyOz8fHx6t+//03tTz75pOLj4x05JAAAAGA3h8Js27Zt9e23397UvmPHDj3wwAO3XRQAAACQH/m+Aezzzz+3/vrRRx/VK6+8or1796ply5aSpO+//14rV67UxIkTnV8lAAAAkIN8z5l1c8vfIK7JZCrSTwFjziyAgsKcWQDFWhGdM5vvkVmz2XzbhQEAAADO5NCc2dwkJydr1qxZzjwkAAAAkCunhNnY2Fj17dtXVapU0fjx451xSAAAAOCWHA6zp0+f1qRJk1SzZk116NBBJpNJa9euVUJCgjPrAwAAAHJlV5j966+/tHLlSoWHh6tOnTo6cOCApk2bJjc3N7322mvq2LGjPDw8CqpWAAAAwEa+bwCTpGrVqunee+/Vk08+qejoaJUrV06S1KdPnwIpDgAAAMiLXSOzWVlZMplMMplMcnd3L6iaAAAAgHyxK8z++eefGjZsmJYvX66AgAD16NFDa9eulYn1BQEAAOACdoVZb29v9evXT1999ZV++eUX1a1bVyNHjlRWVpbeeustbdmypUg/MAEAAADFi8OrGQQFBWny5Mk6efKkNmzYoIyMDD3yyCPy9/d3Zn0AAABAruy6ASwnbm5u6tSpkzp16qRz587ps88+c0ZdAAAAwC2ZLJY762ni9jzr11mYUgzcGe6sq+kNuNABxV8hXuTsyWtOfZwtAAAAUJgIswAAADAswiwAAAAMizALAAAAw3JoNYPs7GwtXrxYsbGxOnv2rMxms837X331lVOKAwAAAPLiUJgdNWqUFi9erC5duqhBgwY8AQwAAAAu4VCYjY6O1ooVK9S5c2dn1wMAAADkm0NzZj09PXXPPfc4uxYAAADALg6F2X//+996//33dYc9bwEAAABFjEPTDHbs2KFt27Zp48aNql+/vjw8PGzeX7NmjVOKAwAAAPLiUJgtW7asunfv7uxaAAAAALs4FGYXLVrk7DoAAAAAu/HQBAAAABiWQyOzkrRq1SqtWLFCp06dUmZmps17+/btu+3CAAAAgFtxaGT2gw8+0KBBg+Tv76/9+/erRYsWqlChgo4fP65OnTo5u0YAAAAgRw6F2Tlz5mjevHmaOXOmPD099fLLL2vLli0aOXKkUlJSnF0jAAAAkCOHwuypU6fUqlUrSVLJkiWVlpYmSXrqqae0fPly51UHAAAA5MGhMBsQEKCkpCRJ0t13363vv/9ekhQXF8eDFAAAAFBoHAqzDz30kD7//HNJ0qBBg/Tiiy+qffv26t27N+vPAgAAoNCYLA4MpZrNZpnNZpUocW0xhOjoaO3cuVO1a9fWM888I09PT6cX6iypqany8/NTSkqKfH19C+WcJlOhnAaAi93RP5jiQgcUf4V4kbMnrzkUZo2MMAugoNxZV9MbcKEDir8iGmYdfmjCt99+qyeffFKhoaE6c+aMJOmzzz7Tjh07HD0kAAAAYBeHwuzq1asVHh6ukiVLav/+/crIyJAkpaSkaMqUKU4tEAAAAMiNQ2F28uTJmjt3rubPny8PDw9re+vWrXn6FwAAAAqNQ2H2yJEjatOmzU3tfn5+Sk5Ovt2aAAAAgHxxeJ3Zo0eP3tS+Y8cO1apV67aLAgAAAPLDoTD79NNPa9SoUfrhhx9kMpn0559/aunSpRo9erSGDx9u9/Fmz56tGjVqyNvbWyEhIdq9e3e+9ouOjpbJZFK3bt3sPicAAACMr4QjO40ZM0Zms1kPP/ywLl++rDZt2sjLy0ujR4/WiBEj7DpWTEyMIiIiNHfuXIWEhCgqKkrh4eE6cuSIKleunOt+J06c0OjRo/XAAw848hEAAABQDNzWOrOZmZk6evSo0tPTVa9ePfn4+Nh9jJCQEDVv3lyzZs2SdO2BDIGBgRoxYoTGjBmT4z7Z2dlq06aNBg8erG+//VbJyclat25dvs7HOrMACgrrzAIo1orbOrOS5OnpqXr16qlFixYOBdnMzEzt3btXYWFh/yvIzU1hYWHatWtXrvtNmjRJlStX1pAhQxyqGwAAAMWDXdMMBg8enK9+CxcuzFe/8+fPKzs7W/7+/jbt/v7+Onz4cI777NixQx9//LEOHDiQr3NkZGRY18GVriV9AAAAFA92hdnFixerevXqCg4OliuegpuWlqannnpK8+fPV8WKFfO1T2RkpCZOnFjAlQEAAMAV7Aqzw4cP1/LlyxUXF6dBgwbpySefVPny5R0+ecWKFeXu7q7ExESb9sTERAUEBNzU/9ixYzpx4oS6du1qbTObzZKkEiVK6MiRIwoKCrLZZ+zYsYqIiLBup6amKjAw0OGaAQAAUHTYNWd29uzZio+P18svv6z//ve/CgwMVK9evbR582aHRmo9PT3VtGlTxcbGWtvMZrNiY2MVGhp6U/97771Xv/zyiw4cOGB9Pfroo2rXrp0OHDiQY0j18vKSr6+vzQsAAADFg91Lc3l5ealPnz7q06ePTp48qcWLF+vZZ59VVlaWfvvtN7tvBIuIiNCAAQPUrFkztWjRQlFRUbp06ZIGDRokSerfv7+qVaumyMhIeXt7q0GDBjb7ly1bVpJuagcAAEDx59A6s9e5ubnJZDLJYrEoOzvboWP07t1b586d07hx45SQkKAmTZpo06ZN1pvCTp06JTe321p0AQAAAMWU3evMZmRkaM2aNVq4cKF27NihRx55RIMGDVLHjh0NETpZZxZAQWGdWQDFWhFdZ9aukdlnn31W0dHRCgwM1ODBg7V8+fJ8ryoAAAAAOJtdI7Nubm66++67FRwcLFMe/wtfs2aNU4orCIzMAigojMwCKNaKw8hs//798wyxAAAAQGGy+6EJAAAAQFFR9O/YAgAAAHJBmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhFYkwO3v2bNWoUUPe3t4KCQnR7t27c+07f/58PfDAAypXrpzKlSunsLCwPPsDAACg+HJ5mI2JiVFERITGjx+vffv2qXHjxgoPD9fZs2dz7L99+3b16dNH27Zt065duxQYGKgOHTrozJkzhVw5AAAAXM1ksVgsriwgJCREzZs316xZsyRJZrNZgYGBGjFihMaMGXPL/bOzs1WuXDnNmjVL/fv3v2X/1NRU+fn5KSUlRb6+vrddf36YTIVyGgAu5tqrqYtxoQOKv0K8yNmT11w6MpuZmam9e/cqLCzM2ubm5qawsDDt2rUrX8e4fPmy/vrrL5UvX76gygQAAEARVcKVJz9//ryys7Pl7+9v0+7v76/Dhw/n6xivvPKKqlatahOI/y4jI0MZGRnW7dTUVMcLBgAAQJHi8jmzt+Ptt99WdHS01q5dK29v7xz7REZGys/Pz/oKDAws5CoBAABQUFwaZitWrCh3d3clJibatCcmJiogICDPfadPn663335bX375pRo1apRrv7FjxyolJcX6On36tFNqBwAAgOu5NMx6enqqadOmio2NtbaZzWbFxsYqNDQ01/2mTp2qN998U5s2bVKzZs3yPIeXl5d8fX1tXgAAACgeXDpnVpIiIiI0YMAANWvWTC1atFBUVJQuXbqkQYMGSZL69++vatWqKTIyUpL0zjvvaNy4cVq2bJlq1KihhIQESZKPj498fHxc9jkAAABQ+FweZnv37q1z585p3LhxSkhIUJMmTbRp0ybrTWGnTp2Sm9v/BpA//PBDZWZmqmfPnjbHGT9+vCZMmFCYpQMAAMDFXL7ObGFjnVkABeXOupregAsdUPyxziwAAADgXIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZFmAUAAIBhEWYBAABgWIRZAAAAGBZhFgAAAIZVJMLs7NmzVaNGDXl7eyskJES7d+/Os//KlSt17733ytvbWw0bNtQXX3xRSJUCAACgKHF5mI2JiVFERITGjx+vffv2qXHjxgoPD9fZs2dz7L9z50716dNHQ4YM0f79+9WtWzd169ZNv/76ayFXDgAAAFczWSwWiysLCAkJUfPmzTVr1ixJktlsVmBgoEaMGKExY8bc1L937966dOmS1q9fb21r2bKlmjRporlz597yfKmpqfLz81NKSop8fX2d90HyYDIVymkAuJhrr6YuxoUOKP4K8SJnT14rUUg15SgzM1N79+7V2LFjrW1ubm4KCwvTrl27ctxn165dioiIsGkLDw/XunXrcuyfkZGhjIwM63ZKSoqka18SADgTlxUAxVohXuSu57T8jLm6NMyeP39e2dnZ8vf3t2n39/fX4cOHc9wnISEhx/4JCQk59o+MjNTEiRNvag8MDHSwagDImZ+fqysAgALkgotcWlqa/G5xXpeG2cIwduxYm5Fcs9mspKQkVahQQSZ+LIYCkpqaqsDAQJ0+fbrQprMAQGHhGoeCZrFYlJaWpqpVq96yr0vDbMWKFeXu7q7ExESb9sTERAUEBOS4T0BAgF39vby85OXlZdNWtmxZx4sG7ODr68uFHkCxxTUOBelWI7LXuXQ1A09PTzVt2lSxsbHWNrPZrNjYWIWGhua4T2hoqE1/SdqyZUuu/QEAAFB8uXyaQUREhAYMGKBmzZqpRYsWioqK0qVLlzRo0CBJUv/+/VWtWjVFRkZKkkaNGqUHH3xQM2bMUJcuXRQdHa09e/Zo3rx5rvwYAAAAcAGXh9nevXvr3LlzGjdunBISEtSkSRNt2rTJepPXqVOn5Ob2vwHkVq1aadmyZXr99df16quvqnbt2lq3bp0aNGjgqo8A3MTLy0vjx4+/aYoLABQHXONQlLh8nVkAAADAUS5/AhgAAADgKMIsAAAADIswCwAAAMMizAKFqEaNGoqKinJ1GQAAFBuEWSAHJpMpz9eECRMcOu6PP/6oYcOGObdYALgNBXW9u37sdevWOa1WICcuX5oLKIri4+Otv46JidG4ceN05MgRa5uPj4/11xaLRdnZ2SpR4tZ/nSpVquTcQgHgNtlzvQOKIkZmgRwEBARYX35+fjKZTNbtw4cPq0yZMtq4caOaNm0qLy8v7dixQ8eOHdM///lP+fv7y8fHR82bN9fWrVttjnvjNAOTyaQFCxaoe/fuKlWqlGrXrq3PP/+8kD8tgDtZXte7gIAARUdHq27duvL29ta9996rOXPmWPfNzMzU888/rypVqsjb21vVq1e3PuSoRo0akqTu3bvLZDJZtwFnI8wCDhozZozefvttHTp0SI0aNVJ6ero6d+6s2NhY7d+/Xx07dlTXrl116tSpPI8zceJE9erVSz///LM6d+6sfv36KSkpqZA+BQDkbunSpRo3bpzeeustHTp0SFOmTNEbb7yhTz75RJL0wQcf6PPPP9eKFSt05MgRLV261Bpaf/zxR0nSokWLFB8fb90GnI1pBoCDJk2apPbt21u3y5cvr8aNG1u333zzTa1du1aff/65nn/++VyPM3DgQPXp00eSNGXKFH3wwQfavXu3OnbsWHDFA0A+jB8/XjNmzNBjjz0mSapZs6YOHjyojz76SAMGDNCpU6dUu3Zt3X///TKZTKpevbp13+vTqsqWLauAgACX1I87A2EWcFCzZs1sttPT0zVhwgRt2LBB8fHxysrK0pUrV245MtuoUSPrr0uXLi1fX1+dPXu2QGoGgPy6dOmSjh07piFDhujpp5+2tmdlZcnPz0/Stf+Mt2/fXnXq1FHHjh31yCOPqEOHDq4qGXcowizgoNKlS9tsjx49Wlu2bNH06dN1zz33qGTJkurZs6cyMzPzPI6Hh4fNtslkktlsdnq9AGCP9PR0SdL8+fMVEhJi8567u7sk6b777lNcXJw2btyorVu3qlevXgoLC9OqVasKvV7cuQizgJN89913GjhwoLp37y7p2j8EJ06ccG1RAOAgf39/Va1aVcePH1e/fv1y7efr66vevXurd+/e6tmzpzp27KikpCSVL19eHh4eys7OLsSqcScizAJOUrt2ba1Zs0Zdu3aVyWTSG2+8wQgrAEObOHGiRo4cKT8/P3Xs2FEZGRnas2ePLl68qIiICL377ruqUqWKgoOD5ebmppUrVyogIEBly5aVdG1Fg9jYWLVu3VpeXl4qV66caz8QiiVWMwCc5N1331W5cuXUqlUrde3aVeHh4brvvvtcXRYAOGzo0KFasGCBFi1apIYNG+rBBx/U4sWLVbNmTUlSmTJlNHXqVDVr1kzNmzfXiRMn9MUXX8jN7Vq8mDFjhrZs2aLAwEAFBwe78qOgGDNZLBaLq4sAAAAAHMHILAAAAAyLMAsAAADDIswCAADAsAizAAAAMCzCLAAAAAyLMAsAAADDIswCAADAsAizAAAAMCzCLAAAAAyLMAsAAADDIswCAADAsAizAAAAMKz/B7s7E50gpggkAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(1.1976395444572494, 1.1996286157423168)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import mean_absolute_error\n",
    "\n",
    "# Calculate the Mean Absolute Error (MAE) for the training and testing sets\n",
    "mae_train = mean_absolute_error(y_train, y_train_pred)\n",
    "mae_test = mean_absolute_error(y_test, y_test_pred)\n",
    "\n",
    "# Create a bar plot for MAE\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.bar(['Train', 'Test'], [mae_train, mae_test], color=['blue', 'red'])\n",
    "plt.ylabel('Mean Absolute Error (MAE)')\n",
    "plt.title('MAE for Training and Testing Sets')\n",
    "plt.show()\n",
    "\n",
    "mae_train, mae_test\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import confusion_matrix, accuracy_score, classification_report\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "# Load the data\n",
    "data = pd.read_csv('excel/results_with_env.csv')\n",
    "\n",
    "# Show the first few rows\n",
    "data.head()\n",
    "# Preprocess the data\n",
    "data['group2'] = data['group2'].apply(lambda x: 1 if x == 'homo' else 0)\n",
    "\n",
    "# Show the first few rows\n",
    "data.head()\n",
    "\n",
    "\n",
    "# Split the data into features and target\n",
    "X = data.drop(columns=['sample', 'group1', 'group2'])\n",
    "y = data['group2']\n",
    "\n",
    "# Split the data into training set and test set\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# Train a Random Forest classifier\n",
    "clf = RandomForestClassifier(n_estimators=100, random_state=42)\n",
    "clf.fit(X_train, y_train)\n",
    "\n",
    "# Make predictions on the test set\n",
    "y_pred = clf.predict(X_test)\n",
    "\n",
    "# Compute accuracy\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "\n",
    "# Compute confusion matrix\n",
    "cm = confusion_matrix(y_test, y_pred)\n",
    "\n",
    "# Compute classification report\n",
    "report = classification_report(y_test, y_pred)\n",
    "\n",
    "# Plot the confusion matrix\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues', cbar=False)\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('True')\n",
    "plt.title('Confusion Matrix')\n",
    "plt.show()\n",
    "\n",
    "accuracy, report\n",
    "from sklearn.metrics import roc_curve, auc\n",
    "\n",
    "# Compute the probabilities of the positive class\n",
    "y_proba = clf.predict_proba(X_test)[:, 1]\n",
    "\n",
    "# Compute ROC curve and ROC area\n",
    "fpr, tpr, _ = roc_curve(y_test, y_proba)\n",
    "roc_auc = auc(fpr, tpr)\n",
    "\n",
    "# Plot ROC curve\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.plot(fpr, tpr, color='darkorange', lw=2, label='ROC curve (area = %0.2f)' % roc_auc)\n",
    "plt.plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1.05])\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.title('Receiver Operating Characteristic Curve')\n",
    "plt.legend(loc=\"lower right\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\DuYih\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1344: UndefinedMetricWarning: Precision and F-score are 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, msg_start, len(result))\n",
      "c:\\Users\\DuYih\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1344: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n",
      "c:\\Users\\DuYih\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1344: UndefinedMetricWarning: Precision and F-score are 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, msg_start, len(result))\n",
      "c:\\Users\\DuYih\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1344: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n",
      "c:\\Users\\DuYih\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1344: UndefinedMetricWarning: Precision and F-score are 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, msg_start, len(result))\n",
      "c:\\Users\\DuYih\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1344: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAqsAAAIjCAYAAAAk+FJEAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/P9b71AAAACXBIWXMAAA9hAAAPYQGoP6dpAABTGUlEQVR4nO3deViU9f7/8deAMpgLEuRWxxVFBHczl9JcS8tcSjPNUMvMrFzSY2jmVpJbLnlcylKPabbqadVcsrKjZu6ZuZeZK6iYsqjM/P7oJ98z4QIyw33Ph+fjuua65J7hvt8vbpAXH+4ZHG632y0AAADAhgKsHgAAAAC4GsoqAAAAbIuyCgAAANuirAIAAMC2KKsAAACwLcoqAAAAbIuyCgAAANuirAIAAMC2KKsAAACwLcoqAFzB3r171bJlS4WEhMjhcGjp0qVe3f+vv/4qh8OhefPmeXW//uzuu+/W3XffbfUYAGyGsgrAtvbv36/evXurfPnyCg4OVpEiRdSwYUNNnTpVKSkpPj12bGysduzYoVdeeUULFixQnTp1fHq83NS9e3c5HA4VKVLkih/HvXv3yuFwyOFwaOLEidne/5EjRzRy5Eht3brVC9MCyOvyWT0AAFzJ559/ro4dO8rpdOqxxx5TTEyMLly4oLVr12rw4MHauXOn3njjDZ8cOyUlRevWrdOwYcP0zDPP+OQYZcqUUUpKivLnz++T/V9Pvnz5lJycrE8//VSdOnXyuG/hwoUKDg5WamrqDe37yJEjGjVqlMqWLasaNWpk+f2++uqrGzoeALNRVgHYzsGDB9W5c2eVKVNGq1evVsmSJTPu69u3r/bt26fPP//cZ8c/efKkJKlo0aI+O4bD4VBwcLDP9n89TqdTDRs21LvvvpuprC5atEj33XefPvroo1yZJTk5WTfddJOCgoJy5XgA/AuXAQCwnfHjx+vcuXN66623PIrqZREREerXr1/G25cuXdKYMWNUoUIFOZ1OlS1bVkOHDlVaWprH+5UtW1b333+/1q5dq7p16yo4OFjly5fXv//974zHjBw5UmXKlJEkDR48WA6HQ2XLlpX016/PL//7f40cOVIOh8Nj24oVK3TnnXeqaNGiKlSokCIjIzV06NCM+692zerq1at11113qWDBgipatKjatm2rXbt2XfF4+/btU/fu3VW0aFGFhISoR48eSk5OvvoH9m+6dOmiL7/8UmfOnMnYtnHjRu3du1ddunTJ9PhTp05p0KBBqlq1qgoVKqQiRYqoVatW2rZtW8Zj1qxZo9tvv12S1KNHj4zLCS7nvPvuuxUTE6NNmzapUaNGuummmzI+Ln+/ZjU2NlbBwcGZ8t9zzz0KDQ3VkSNHspwVgP+irAKwnU8//VTly5dXgwYNsvT4J554Qi+99JJq1aqlyZMnq3HjxoqPj1fnzp0zPXbfvn166KGH1KJFC02aNEmhoaHq3r27du7cKUnq0KGDJk+eLEl65JFHtGDBAk2ZMiVb8+/cuVP333+/0tLSNHr0aE2aNEkPPPCAvv/++2u+38qVK3XPPffoxIkTGjlypAYOHKj//ve/atiwoX799ddMj+/UqZP+/PNPxcfHq1OnTpo3b55GjRqV5Tk7dOggh8Ohjz/+OGPbokWLVLlyZdWqVSvT4w8cOKClS5fq/vvv12uvvabBgwdrx44daty4cUZxjIqK0ujRoyVJTz75pBYsWKAFCxaoUaNGGftJTExUq1atVKNGDU2ZMkVNmjS54nxTp07VLbfcotjYWKWnp0uSZs+era+++kqvv/66SpUqleWsAPyYGwBsJCkpyS3J3bZt2yw9fuvWrW5J7ieeeMJj+6BBg9yS3KtXr87YVqZMGbck97fffpux7cSJE26n0+l+/vnnM7YdPHjQLck9YcIEj33Gxsa6y5Qpk2mGESNGuP/3v9PJkye7JblPnjx51bkvH2Pu3LkZ22rUqOEuVqyYOzExMWPbtm3b3AEBAe7HHnss0/F69uzpsc/27du7w8LCrnrM/81RsGBBt9vtdj/00EPuZs2aud1utzs9Pd1dokQJ96hRo674MUhNTXWnp6dnyuF0Ot2jR4/O2LZx48ZM2S5r3LixW5J71qxZV7yvcePGHtuWL1/uluR++eWX3QcOHHAXKlTI3a5du+tmBGAOVlYB2MrZs2clSYULF87S47/44gtJ0sCBAz22P//885KU6drWKlWq6K677sp4+5ZbblFkZKQOHDhwwzP/3eVrXf/zn//I5XJl6X2OHj2qrVu3qnv37rr55psztlerVk0tWrTIyPm/nnrqKY+377rrLiUmJmZ8DLOiS5cuWrNmjY4dO6bVq1fr2LFjV7wEQPrrOteAgL++baSnpysxMTHjEofNmzdn+ZhOp1M9evTI0mNbtmyp3r17a/To0erQoYOCg4M1e/bsLB8LgP+jrAKwlSJFikiS/vzzzyw9/rffflNAQIAiIiI8tpcoUUJFixbVb7/95rG9dOnSmfYRGhqq06dP3+DEmT388MNq2LChnnjiCRUvXlydO3fW+++/f83iennOyMjITPdFRUUpISFB58+f99j+9yyhoaGSlK0srVu3VuHChfXee+9p4cKFuv322zN9LC9zuVyaPHmyKlasKKfTqfDwcN1yyy3avn27kpKSsnzMW2+9NVtPppo4caJuvvlmbd26VdOmTVOxYsWy/L4A/B9lFYCtFClSRKVKldJPP/2Urff7+xOcriYwMPCK291u9w0f4/L1lJcVKFBA3377rVauXKlu3bpp+/btevjhh9WiRYtMj82JnGS5zOl0qkOHDpo/f76WLFly1VVVSRo7dqwGDhyoRo0a6Z133tHy5cu1YsUKRUdHZ3kFWfrr45MdW7Zs0YkTJyRJO3bsyNb7AvB/lFUAtnP//fdr//79Wrdu3XUfW6ZMGblcLu3du9dj+/Hjx3XmzJmMZ/Z7Q2hoqMcz5y/7++qtJAUEBKhZs2Z67bXX9PPPP+uVV17R6tWr9fXXX19x35fn3L17d6b7fvnlF4WHh6tgwYI5C3AVXbp00ZYtW/Tnn39e8Ulpl3344Ydq0qSJ3nrrLXXu3FktW7ZU8+bNM31MsvqDQ1acP39ePXr0UJUqVfTkk09q/Pjx2rhxo9f2D8D+KKsAbOef//ynChYsqCeeeELHjx/PdP/+/fs1depUSX/9GltSpmfsv/baa5Kk++67z2tzVahQQUlJSdq+fXvGtqNHj2rJkiUejzt16lSm97384vh/fzmty0qWLKkaNWpo/vz5HuXvp59+0ldffZWR0xeaNGmiMWPGaPr06SpRosRVHxcYGJhp1faDDz7QH3/84bHtcqm+UrHPriFDhujQoUOaP3++XnvtNZUtW1axsbFX/TgCMA9/FACA7VSoUEGLFi3Sww8/rKioKI+/YPXf//5XH3zwgbp37y5Jql69umJjY/XGG2/ozJkzaty4sX744QfNnz9f7dq1u+rLIt2Izp07a8iQIWrfvr2ee+45JScna+bMmapUqZLHE4xGjx6tb7/9Vvfdd5/KlCmjEydOaMaMGbrtttt05513XnX/EyZMUKtWrVS/fn09/vjjSklJ0euvv66QkBCNHDnSazn+LiAgQC+++OJ1H3f//fdr9OjR6tGjhxo0aKAdO3Zo4cKFKl++vMfjKlSooKJFi2rWrFkqXLiwChYsqDvuuEPlypXL1lyrV6/WjBkzNGLEiIyX0po7d67uvvtuDR8+XOPHj8/W/gD4J1ZWAdjSAw88oO3bt+uhhx7Sf/7zH/Xt21cvvPCCfv31V02aNEnTpk3LeOycOXM0atQobdy4Uf3799fq1asVFxenxYsXe3WmsLAwLVmyRDfddJP++c9/av78+YqPj1ebNm0yzV66dGm9/fbb6tu3r/71r3+pUaNGWr16tUJCQq66/+bNm2vZsmUKCwvTSy+9pIkTJ6pevXr6/vvvs130fGHo0KF6/vnntXz5cvXr10+bN2/W559/rn/84x8ej8ufP7/mz5+vwMBAPfXUU3rkkUf0zTffZOtYf/75p3r27KmaNWtq2LBhGdvvuusu9evXT5MmTdL69eu9kguAvTnc2bkSHwAAAMhFrKwCAADAtiirAAAAsC3KKgAAAGyLsgoAAADboqwCAADAtiirAAAAsC3KKgAAAGzLyL9glXrJ6gkAAABwLcFZbKGsrAIAAMC2KKsAAACwLcoqAAAAbIuyCgAAANuirAIAAMC2KKsAAACwLcoqAAAAbIuyCgAAANuirAIAAMC2KKsAAACwLcoqAAAAbIuyCgAAANuirAIAAMC2KKsAAACwLcpqDi1etFCtWjTV7TWrqmvnjtqxfbvVI3mV6fkk8zOSz/+ZntH0fJL5Gcnn/+yckbKaA8u+/EITx8er99N9tfiDJYqMrKw+vR9XYmKi1aN5hen5JPMzks//mZ7R9HyS+RnJ5//snpGymgML5s9Vh4c6qV37B1UhIkIvjhil4OBgLf34I6tH8wrT80nmZySf/zM9o+n5JPMzks//2T0jZfUGXbxwQbt+3ql69RtkbAsICFC9eg20fdsWCyfzDtPzSeZnJJ//Mz2j6fkk8zOSz//5Q8Z8Vh48ISFBb7/9ttatW6djx45JkkqUKKEGDRqoe/fuuuWWW6wc75pOnzmt9PR0hYWFeWwPCwvTwYMHLJrKe0zPJ5mfkXz+z/SMpueTzM9IPv/nDxktW1nduHGjKlWqpGnTpikkJESNGjVSo0aNFBISomnTpqly5cr68ccfr7uftLQ0nT171uOWlpaWCwkAAADga5atrD777LPq2LGjZs2aJYfD4XGf2+3WU089pWeffVbr1q275n7i4+M1atQoj23Dho/Qiy+N9PbIHkKLhiowMDDTxceJiYkKDw/36bFzg+n5JPMzks//mZ7R9HyS+RnJ5//8IaNlK6vbtm3TgAEDMhVVSXI4HBowYIC2bt163f3ExcUpKSnJ4zZ4SJwPJvaUPyhIUVWitWH9/5Vpl8ulDRvWqVr1mj4/vq+Znk8yPyP5/J/pGU3PJ5mfkXz+zx8yWrayWqJECf3www+qXLnyFe//4YcfVLx48evux+l0yul0emxLveSVEa+rW2wPDR86RNHRMYqpWk3vLJivlJQUtWvfIXcG8DHT80nmZySf/zM9o+n5JPMzks//2T2jZWV10KBBevLJJ7Vp0yY1a9Yso5geP35cq1at0ptvvqmJEydaNV6W3NuqtU6fOqUZ06cpIeGkIitHacbsOQqzybJ5TpmeTzI/I/n8n+kZTc8nmZ+RfP7P7hkdbrfbbdXB33vvPU2ePFmbNm1Senq6JCkwMFC1a9fWwIED1alTpxvab26trAIAAODGBGdxydTSsnrZxYsXlZCQIEkKDw9X/vz5c7Q/yioAAIC9+VVZ9TbKKgAAgL1ltazyF6wAAABgW5RVAAAA2BZlFQAAALZFWQUAAIBtUVYBAABgW5RVAAAA2BZlFQAAALZFWQUAAIBtUVYBAABgW5RVAAAA2BZlFQAAALZFWQUAAIBtUVYBAABgW5RVAAAA2FY+qwcA8qK0iy6rR/A5Z35+FgYA5BzfTQAAAGBblFUAAADYFmUVAAAAtkVZBQAAgG1RVgEAAGBblFUAAADYFmUVAAAAtkVZBQAAgG1RVgEAAGBblFUAAADYFmUVAAAAtkVZBQAAgG1RVgEAAGBblFUAAADYFmU1hxYvWqhWLZrq9ppV1bVzR+3Yvt3qkbzK9HyS2Rk3b9qogc/1UesWjVS3RpTWrF5p9UheZ/L5u8z0jKbnk8zPSD7/Z+eMlNUcWPblF5o4Pl69n+6rxR8sUWRkZfXp/bgSExOtHs0rTM8nmZ8xNSVFFStFanDccKtH8QnTz59kfkbT80nmZySf/7N7RspqDiyYP1cdHuqkdu0fVIWICL04YpSCg4O19OOPrB7NK0zPJ5mfscGdjdTnmf5q0rSF1aP4hOnnTzI/o+n5JPMzks//2T0jZfUGXbxwQbt+3ql69RtkbAsICFC9eg20fdsWCyfzDtPzSXkjo8nywvkzPaPp+STzM5LP//lDRsrqDTp95rTS09MVFhbmsT0sLEwJCQkWTeU9pueT8kZGk+WF82d6RtPzSeZnJJ//84eMti6rv//+u3r27HnNx6Slpens2bMet7S0tFyaEAAAAL5k67J66tQpzZ8//5qPiY+PV0hIiMdtwrh4n88WWjRUgYGBmS4+TkxMVHh4uM+P72um55PyRkaT5YXzZ3pG0/NJ5mckn//zh4yWltVPPvnkmrevv/76uvuIi4tTUlKSx23wkDifz54/KEhRVaK1Yf26jG0ul0sbNqxTteo1fX58XzM9n5Q3MposL5w/0zOank8yPyP5/J8/ZMxn5cHbtWsnh8Mht9t91cc4HI5r7sPpdMrpdHpsS73klfGuq1tsDw0fOkTR0TGKqVpN7yyYr5SUFLVr3yF3BvAx0/NJ5mdMTj6vw4cOZbx95I/D2vPLLhUJCVGJkqUsnMw7TD9/kvkZTc8nmZ+RfP7P7hktLaslS5bUjBkz1LZt2yvev3XrVtWuXTuXp8q6e1u11ulTpzRj+jQlJJxUZOUozZg9R2E2WTbPKdPzSeZn3LVzp/r0is14e8qkcZKk+9q004gxvr9cxtdMP3+S+RlNzyeZn5F8/s/uGR3uay1r+tgDDzygGjVqaPTo0Ve8f9u2bapZs6ZcLle29ptbK6vAjUq7mL3PaX/kzG/rS+IBABYLzuKSqaUrq4MHD9b58+even9ERESWrlsFAACAmSxdWfUVVlZhd6ysAgDyuqyurPLdBAAAALZFWQUAAIBtUVYBAABgW5RVAAAA2BZlFQAAALZFWQUAAIBtUVYBAABgW5RVAAAA2BZlFQAAALZFWQUAAIBtUVYBAABgW5RVAAAA2BZlFQAAALZFWQUAAIBt5bN6AOBKDiUkWz2CT5UOv8nqEXwu7aLL6hF8ypmfn/UBIDfwvy0AAABsi7IKAAAA26KsAgAAwLYoqwAAALAtyioAAABsi7IKAAAA26KsAgAAwLYoqwAAALAtyioAAABsi7IKAAAA26KsAgAAwLYoqwAAALAtyioAAABsi7IKAAAA26Ks5tDiRQvVqkVT3V6zqrp27qgd27dbPZJXmZ7vsg8Wvq02jWvqzdcnWD2K15l8Djdv2qiBz/VR6xaNVLdGlNasXmn1SD5h8jmUzM8nmZ+RfP7Pzhkpqzmw7MsvNHF8vHo/3VeLP1iiyMjK6tP7cSUmJlo9mleYnu+yPbt2atknH6lshYpWj+J1pp/D1JQUVawUqcFxw60exWdMP4em55PMz0g+/2f3jJTVHFgwf646PNRJ7do/qAoREXpxxCgFBwdr6ccfWT2aV5ieT5JSkpM16eWhenbwcBUqXMTqcbzO9HPY4M5G6vNMfzVp2sLqUXzG9HNoej7J/Izk8392z0hZvUEXL1zQrp93ql79BhnbAgICVK9eA23ftsXCybzD9HyXzZoSrzr171KNOvWsHsXr8so5NJnp59D0fJL5Gcnn//whI2X1Bp0+c1rp6ekKCwvz2B4WFqaEhASLpvIe0/NJ0rerlmn/nl8U2+tZq0fxibxwDk1n+jk0PZ9kfkby+T9/yGh5WU1JSdHatWv1888/Z7ovNTVV//73v6/5/mlpaTp79qzHLS0tzVfjwhAnTxzTm69P0PPDX1GQ02n1OAAA4CosLat79uxRVFSUGjVqpKpVq6px48Y6evRoxv1JSUnq0aPHNfcRHx+vkJAQj9uEcfG+Hl2hRUMVGBiY6eLjxMREhYeH+/z4vmZ6vn27d+nM6VPq36uL2jato7ZN6+inrZv06Ufvqm3TOkpPT7d6xBwz/RzmBaafQ9PzSeZnJJ//84eMlpbVIUOGKCYmRidOnNDu3btVuHBhNWzYUIcOHcryPuLi4pSUlORxGzwkzodT/yV/UJCiqkRrw/p1GdtcLpc2bFinatVr+vz4vmZ6vuq162r63A80bc7ijFtEZBU1bt5a0+YsVmBgoNUj5pjp5zAvMP0cmp5PMj8j+fyfP2TMZ+XB//vf/2rlypUKDw9XeHi4Pv30Uz399NO666679PXXX6tgwYLX3YfT6ZTzb7/GTb3kq4k9dYvtoeFDhyg6OkYxVavpnQXzlZKSonbtO+TOAD5mcr6bbiqoMuUjPLYFFyigIiEhmbb7M5PPoSQlJ5/X4f/54fbIH4e155ddKhISohIlS1k4mfeYfg5NzyeZn5F8/s/uGS0tqykpKcqX7/9GcDgcmjlzpp555hk1btxYixYtsnC667u3VWudPnVKM6ZPU0LCSUVWjtKM2XMUZpNl85wyPV9eYPo53LVzp/r0is14e8qkcZKk+9q004gxvr8cKDeYfg5NzyeZn5F8/s/uGR1ut9tt1cHr1q2rZ599Vt26dct03zPPPKOFCxfq7Nmz2b5+MLdWVuE7hxKSrR7Bp0qH32T1CD6XdtFl9Qg+5cxv+fNTAcCvBWdxydTS/23bt2+vd99994r3TZ8+XY888ogs7NIAAACwmKUrq77Cyqr/Y2XV/7GyCgC4Fr9YWQUAAACuhbIKAAAA26KsAgAAwLYoqwAAALAtyioAAABsi7IKAAAA26KsAgAAwLYoqwAAALAtyioAAABsi7IKAAAA26KsAgAAwLYoqwAAALAtyioAAABsi7IKAAAA23K43W631UN4W1KKy+oRfM6Zn58z/FnaRT5HAQB5W3C+rD2O7yYAAACwLcoqAAAAbIuyCgAAANuirAIAAMC2KKsAAACwLcoqAAAAbIuyCgAAANuirAIAAMC2KKsAAACwLcoqAAAAbIuyCgAAANuirAIAAMC2KKsAAACwLcoqAAAAbIuymgObN23UwOf6qHWLRqpbI0prVq+0eiSvW7xooVq1aKrba1ZV184dtWP7dqtH8jqTM/I5agbTM5qeTzI/I/n8n50zUlZzIDUlRRUrRWpw3HCrR/GJZV9+oYnj49X76b5a/MESRUZWVp/ejysxMdHq0bzG9Ix8jvo/0zOank8yPyP5/J/dM1JWc6DBnY3U55n+atK0hdWj+MSC+XPV4aFOatf+QVWIiNCLI0YpODhYSz/+yOrRvMb0jHyO+j/TM5qeTzI/I/n8n90zUlZxRRcvXNCun3eqXv0GGdsCAgJUr14Dbd+2xcLJvCcvZDRZXjh/pmc0PZ9kfkby+T9/yEhZxRWdPnNa6enpCgsL89geFhamhIQEi6byrryQ0WR54fyZntH0fJL5Gcnn//whYz6rB9i1a5fWr1+v+vXrq3Llyvrll180depUpaWl6dFHH1XTpk2v+f5paWlKS0vz3ObKL6fT6cuxAQAAkAssXVldtmyZatSooUGDBqlmzZpatmyZGjVqpH379um3335Ty5YttXr16mvuIz4+XiEhIR631ya8mksJzBVaNFSBgYGZLq5OTExUeHi4RVN5V17IaLK8cP5Mz2h6Psn8jOTzf/6Q0dKyOnr0aA0ePFiJiYmaO3euunTpol69emnFihVatWqVBg8erFdfvXbxjIuLU1JSksdt4OAXcimBufIHBSmqSrQ2rF+Xsc3lcmnDhnWqVr2mhZN5T17IaLK8cP5Mz2h6Psn8jOTzf/6Q0dLLAHbu3Kl///vfkqROnTqpW7dueuihhzLu79q1q+bOnXvNfTidzky/8nenuLw/7BUkJ5/X4UOHMt4+8sdh7flll4qEhKhEyVK5MoMvdYvtoeFDhyg6OkYxVavpnQXzlZKSonbtO1g9mteYnpHPUf9nekbT80nmZySf/7N7RsuvWXU4HJL+euZZcHCwQkJCMu4rXLiwkpKSrBrtunbt3Kk+vWIz3p4yaZwk6b427TRiTLxVY3nNva1a6/SpU5oxfZoSEk4qsnKUZsyeozCb/FrAG0zPyOeo/zM9o+n5JPMzks//2T2jw+12u606ePXq1TVu3Djde++9kqSffvpJlStXVr58f3Xo7777TrGxsTpw4EC29puUSyurVnLm54Uc/FnaRT5HAQB5W3AWl0wtXVnt06eP0tPTM96OiYnxuP/LL7+87qsBAAAAwFyWrqz6CiursDtWVgEAeV1WV1b5bgIAAADboqwCAADAtiirAAAAsC3KKgAAAGyLsgoAAADboqwCAADAtiirAAAAsC3KKgAAAGyLsgoAAADboqwCAADAtiirAAAAsC3KKgAAAGyLsgoAAADboqwCAADAtvJZPYAvOPPTwf1d2kWX1SP4VF74HN1z9JzVI/hUpZKFrB4BAPIE879jAgAAwG9RVgEAAGBblFUAAADYFmUVAAAAtkVZBQAAgG1RVgEAAGBblFUAAADYFmUVAAAAtkVZBQAAgG1RVgEAAGBblFUAAADYFmUVAAAAtkVZBQAAgG1RVgEAAGBblNUcWrxooVq1aKrba1ZV184dtWP7dqtH8iqT823etFEDn+uj1i0aqW6NKK1ZvdLqkXzC5HP4/vzZ6ti8tsetX48OVo/ldSafQ8n8fJL5Gcnn/+yckbKaA8u+/EITx8er99N9tfiDJYqMrKw+vR9XYmKi1aN5hen5UlNSVLFSpAbHDbd6FJ8x/RxK0j/KVtAb7y/PuI2Z8pbVI3mV6efQ9HyS+RnJ5//snpGymgML5s9Vh4c6qV37B1UhIkIvjhil4OBgLf34I6tH8wrT8zW4s5H6PNNfTZq2sHoUnzH9HEpSQGCgQm8Oz7gVCQm1eiSvMv0cmp5PMj8j+fyf3TParqy63W6rR8iSixcuaNfPO1WvfoOMbQEBAapXr4G2b9ti4WTeYXq+vCCvnMNjfxzSkw/fo76PPqCpY4fp5PGjVo/kNaafQ9PzSeZnJJ//84eMtiurTqdTu3btsnqM6zp95rTS09MVFhbmsT0sLEwJCQkWTeU9pufLC/LCOawYFaO+g0dqWPx09er3gk4cO6KXBjyhlOTzVo/mFaafQ9PzSeZnJJ//84eM+aw68MCBA6+4PT09Xa+++mrGB+2111675n7S0tKUlpbmsc0d6JTT6fTOoABsq2bdhhn/LlO+oipGVVWfLvfpv9+sULNW7awbDADgNZaV1SlTpqh69eoqWrSox3a3261du3apYMGCcjgc191PfHy8Ro0a5bFt2PARevGlkV6cNrPQoqEKDAzMdPFxYmKiwsPDfXrs3GB6vrwgL57DgoUKq9RtZXTsj9+tHsUrTD+HpueTzM9IPv/nDxktuwxg7NixSkpK0vDhw/X1119n3AIDAzVv3jx9/fXXWr169XX3ExcXp6SkJI/b4CFxPp8/f1CQoqpEa8P6dRnbXC6XNmxYp2rVa/r8+L5mer68IC+ew5SUZB07elihYfb4DzanTD+HpueTzM9IPv/nDxktW1l94YUX1KxZMz366KNq06aN4uPjlT9//mzvx+nM/Cv/1EvemvLausX20PChQxQdHaOYqtX0zoL5SklJUbv2ZrzOo+n5kpPP6/ChQxlvH/njsPb8sktFQkJUomQpCyfzHtPP4b9nT1bteo10S/GSOp14Uu/Nn62AgAA1bHKv1aN5jenn0PR8kvkZyef/7J7RsrIqSbfffrs2bdqkvn37qk6dOlq4cGGWfvVvF/e2aq3Tp05pxvRpSkg4qcjKUZoxe47CbLJsnlOm59u1c6f69IrNeHvKpHGSpPvatNOIMfFWjeVVpp/DxJMnNHXsUP15NklFQkJVOaaGxr4+TyFFzXn5KtPPoen5JPMzks//2T2jw22T14pavHix+vfvr5MnT2rHjh2qUqXKDe8rt1ZW4TtpF11Wj+BTzvy2eyEOr9tz9JzVI/hUpZKFrB4BAPxacBaXTG1TViXp8OHD2rRpk5o3b66CBQve8H4oq/6Psur/KKsAgGvJalm19DKAv7vtttt02223WT0GAAAAbML85R0AAAD4LcoqAAAAbIuyCgAAANuirAIAAMC2KKsAAACwLcoqAAAAbIuyCgAAANuirAIAAMC2KKsAAACwLcoqAAAAbIuyCgAAANuirAIAAMC2KKsAAACwLcoqAAAAbCuf1QMAV+LMz89R/q54iNPqEXwq9PZnrB7Bp05vnG71CAAgiZVVAAAA2BhlFQAAALZFWQUAAIBtUVYBAABgW5RVAAAA2BZlFQAAALZFWQUAAIBt3VBZ/e677/Too4+qfv36+uOPPyRJCxYs0Nq1a706HAAAAPK2bJfVjz76SPfcc48KFCigLVu2KC0tTZKUlJSksWPHen1AAAAA5F3ZLqsvv/yyZs2apTfffFP58+fP2N6wYUNt3rzZq8MBAAAgb8t2Wd29e7caNWqUaXtISIjOnDnjjZkAAAAASTdQVkuUKKF9+/Zl2r527VqVL1/eK0MBAAAA0g2U1V69eqlfv37asGGDHA6Hjhw5ooULF2rQoEHq06ePL2YEAABAHpUvu+/wwgsvyOVyqVmzZkpOTlajRo3kdDo1aNAgPfvss76YEQAAAHlUtldWHQ6Hhg0bplOnTumnn37S+vXrdfLkSY0ZM8YX89ne4kUL1apFU91es6q6du6oHdu3Wz2SV5meTzI/o8n53pn7pp587GHd07iuHmjZSEMHPadDvx60eqwbMqhnS619Z7BOrJ2o31bF6/3XeqlimWKZHndHtXL6cvazSvjvJB3/boJWvNVfwc78V9ij/zD5c/Qy0zOSz//ZOeMN/1GAoKAgValSRXXr1lWhQoW8OZPfWPblF5o4Pl69n+6rxR8sUWRkZfXp/bgSExOtHs0rTM8nmZ/R9HxbN/+o9h0f0ay3F+m16W/o0qWLev7ZJ5WSkmz1aNl2V60IzXrvWzV+bKLu7zNd+fIF6rOZz+im4KCMx9xRrZz+M/1prVr/i+56dILufHSCZi3+Ri6X28LJc8b0z1HJ/Izk8392z+hwu93Z+l+uSZMmcjgcV71/9erVOR4qp1Iv5c5xunbuqOiYqhr64kuSJJfLpZbNGuuRLt30eK8nc2cIHzI9n2R+RivzJSVf9On+r+TM6VN6oGUjTZs9TzVq1fHpsco2HuDT/YeHFtLvq19V88cn6/vN+yVJ38x/Xqs2/KLRMz736bEl6fTG6T4/hmT+16Bkfkby+T+rMgZn8WLUbK+s1qhRQ9WrV8+4ValSRRcuXNDmzZtVtWrV7O7Ob128cEG7ft6pevUbZGwLCAhQvXoNtH3bFgsn8w7T80nmZzQ935WcO3dOklSkSIjFk+RckULBkqTTSX+tEt8SWkh1q5XTyVPn9PW8gfp15Vh9NaefGtTw31dhyQufo6ZnJJ//84eM2X6C1eTJk6+4feTIkRnfKPKC02dOKz09XWFhYR7bw8LCdPDgAYum8h7T80nmZzQ939+5XC69/tqrqlq9pspHVLR6nBxxOByaMOgh/XfLfv28/6gkqdxt4ZKkYb1bK27yEm3ffVhd76+rL2Y/q9odx2r/oZNWjnxD8sLnqOkZyef//CFjtsvq1Tz66KOqW7euJk6ceMP7OH/+vN5//33t27dPJUuW1COPPJLpg/d3aWlpGX/y9TJ3oFNOp/OG5wDgfyaPf1kH9+/T9Df/bfUoOTYlrpOiI0qqWY//WxwICPjr8qu3PlqrBZ+slyRt231Yd9eNVGzb+nrp9U8smRUAfO2Gn2D1d+vWrVNwcHC23qdKlSo6deqUJOn3339XTEyMBgwYoBUrVmjEiBGqUqWKDh689jN74+PjFRIS4nGbMC7+hnNkVWjRUAUGBma6+DgxMVHh4eE+P76vmZ5PMj+j6fn+1+Txr+i/332jKTPfVrHiJaweJ0cmD+mo1nfF6J5e0/THiTMZ24+ePCtJ2nXgmMfjdx88pn+UCM3NEb0mL3yOmp6RfP7PHzJmu6x26NDB49a+fXvVq1dPPXr0UO/evbO1r19++UWXLv31bKi4uDiVKlVKv/32m3744Qf99ttvqlatmoYNG3bNfcTFxSkpKcnjNnhIXHZjZVv+oCBFVYnWhvXrMra5XC5t2LBO1arX9Pnxfc30fJL5GU3PJ0lut1uTx7+i79as0pSZb6vUrbdZPVKOTB7SUQ80ra57e0/Tb0c8v3H8diRRR06cUaWyni9nFVGmmA4dPZWbY3pNXvgcNT0j+fyfP2TM9mUAISGeT1wICAhQZGSkRo8erZYtW97wIOvWrdOsWbMy9l+oUCGNGjVKnTt3vub7OZ2Zf+WfW68G0C22h4YPHaLo6BjFVK2mdxbMV0pKitq175A7A/iY6fkk8zOanm/yuJe1cvkXGjtxmm66qaASExIk/fX/hzObv+mx2pS4Tnq4VR11HPCGzp1PVfGwwpKkpHOpSk3765UVJs9fqRefuk879vyhbbsP69E2dyiybHF1GfyWlaPniOmfo5L5Gcnn/+yeMVtlNT09XT169FDVqlUVGuqdXztdfhms1NRUlSxZ0uO+W2+9VSdP2vdJA/e2aq3Tp05pxvRpSkg4qcjKUZoxe47CbLJsnlOm55PMz2h6vqUfvSdJeu6pHh7b4156Wa3atLNgohvXu1MjSdKKOf09tvd6aYHe+XSDJGn6ojUKdubX+OcfVGjITdqx5w/d32e6Dh5OyO1xvcb0z1HJ/Izk8392z5jt11kNDg7Wrl27VK5cuRwfPCAgQDExMcqXL5/27t2refPm6cEHH8y4/9tvv1WXLl10+PDhbO03t1ZWAVydFa+zmpt8/TqrVsut11kFkHdl9XVWs30ZQExMjA4cOOCVsjpixAiPt//+l7A+/fRT3XXXXTk+DgAAAPxTtldWly1bpri4OI0ZM0a1a9dWwYIFPe4vUqSIVwe8EaysAtZjZdW/sbIKwNe8vrI6evRoPf/882rdurUk6YEHHvD4s6tut1sOh0Pp6enZmxQAAAC4iiyvrAYGBuro0aPatWvXNR/XuHFjrwyWE6ysAtZjZdW/sbIKwNe8vrJ6udPaoYwCAAAgb8jWHwX431/7AwAAAL6WrVcDqFSp0nUL6+U/nwoAAADkVLbK6qhRozL9BSsAAADAV7JVVjt37qxixYpd/4EAAACAF2T5mlWuVwUAAEBuy3JZzebfDgAAAAByLMuXAbhcLl/OAQAAAGSSrZeuAgAAAHITZRUAAAC2RVkFAACAbVFWAQAAYFsOt4FP80+9ZPUEAAAAuJbgLD7Nn5VVAAAA2BZlFQAAALZFWQUAAIBtUVYBAABgW5RVAAAA2BZlFQAAALZFWQUAAIBtUVYBAABgW5RVAAAA2BZlFQAAALZFWQUAAIBtUVYBAABgW5RVAAAA2BZlFQAAALZFWc2hxYsWqlWLprq9ZlV17dxRO7Zvt3okrzI9n2R+RvL5P9Mzmp5PMj8j+fyfnTNSVnNg2ZdfaOL4ePV+uq8Wf7BEkZGV1af340pMTLR6NK8wPZ9kfkby+T/TM5qeTzI/I/n8n90zUlZzYMH8uerwUCe1a/+gKkRE6MURoxQcHKylH39k9WheYXo+yfyM5PN/pmc0PZ9kfkby+T+7Z6Ss3qCLFy5o1887Va9+g4xtAQEBqlevgbZv22LhZN5hej7J/Izk83+mZzQ9n2R+RvL5P3/ISFm9QafPnFZ6errCwsI8toeFhSkhIcGiqbzH9HyS+RnJ5/9Mz2h6Psn8jOTzf/6Q0dKyunnzZh08eDDj7QULFqhhw4b6xz/+oTvvvFOLFy++7j7S0tJ09uxZj1taWpovxwYAAEAusbSs9ujRQ/v375ckzZkzR71791adOnU0bNgw3X777erVq5fefvvta+4jPj5eISEhHrcJ4+J9Pnto0VAFBgZmuvg4MTFR4eHhPj++r5meTzI/I/n8n+kZTc8nmZ+RfP7PHzJaWlb37t2rihUrSpJmzJihqVOnaurUqXrqqac0efJkzZ49W5MmTbrmPuLi4pSUlORxGzwkzuez5w8KUlSVaG1Yvy5jm8vl0oYN61Stek2fH9/XTM8nmZ+RfP7P9Iym55PMz0g+/+cPGfNZefCbbrpJCQkJKlOmjP744w/VrVvX4/477rjD4zKBK3E6nXI6nR7bUi95fdQr6hbbQ8OHDlF0dIxiqlbTOwvmKyUlRe3ad8idAXzM9HyS+RnJ5/9Mz2h6Psn8jOTzf3bPaGlZbdWqlWbOnKk5c+aocePG+vDDD1W9evWM+99//31FRERYOOG13duqtU6fOqUZ06cpIeGkIitHacbsOQqzybJ5TpmeTzI/I/n8n+kZTc8nmZ+RfP7P7hkdbrfbbdXBjxw5ooYNG6p06dKqU6eOZs6cqdq1aysqKkq7d+/W+vXrtWTJErVu3Tpb+82tlVUAAADcmOAsLplaes1qqVKltGXLFtWvX1/Lli2T2+3WDz/8oK+++kq33Xabvv/++2wXVQAAAJjD0pVVX2FlFQAAwN78YmUVAAAAuBbKKgAAAGyLsgoAAADboqwCAADAtiirAAAAsC3KKgAAAGyLsgoAAADboqwCAADAtiirAAAAsC3KKgAAAGyLsgoAAADboqwCAADAtiirAAAAsC3KKgAAAGwrn9UD+ELaRZfVI/icM7/ZP2fkhXMI/2b612BecDwpzeoRfKp4iNPqEQCv4H9bAAAA2BZlFQAAALZFWQUAAIBtUVYBAABgW5RVAAAA2BZlFQAAALZFWQUAAIBtUVYBAABgW5RVAAAA2BZlFQAAALZFWQUAAIBtUVYBAABgW5RVAAAA2BZlFQAAALZFWc2BzZs2auBzfdS6RSPVrRGlNatXWj2S1y1etFCtWjTV7TWrqmvnjtqxfbvVI3lNXjh/pmc0Pd9lJn8dSmbn+/Tj99S724Nq17y+2jWvr369HtUP676zeiyvM/kcSubnk+ydkbKaA6kpKapYKVKD44ZbPYpPLPvyC00cH6/eT/fV4g+WKDKysvr0flyJiYlWj+YVpp8/yfyMpueTzP86ND1feLHierxPf/1r7mJNf/td1ahdVyOH9NOvB/ZZPZrXmH4OTc8n2T+jw+12u60ewtuSUly5fsy6NaI0/rXXdXfT5rlyPGd+3/+c0bVzR0XHVNXQF1+SJLlcLrVs1liPdOmmx3s96dNjp13M3XOY2+fPCqZnNPFrULL26zA3WJnveFKaT/d/NQ/ec6eeeGagWrXp4NPjFA9x+nT/l/E56v+syhicL2uPY2UVV3TxwgXt+nmn6tVvkLEtICBA9eo10PZtWyycDMg7TP86ND3f36Wnp+vrFV8qNTVFVWKqWz2OV5h+Dk3PJ/lHxix2WuQ1p8+cVnp6usLCwjy2h4WF6eDBAxZNBeQtpn8dmp7vsoP796jfk9104cIFFShwk0bET1GZchWsHssrTD+HpueT/COjpSurzz77rL77LmcXmqelpens2bMet7Q0a361AwDA391Wupxmzv9A095cqPvbd9KEl1/Ubwf3Wz0W4DcsLav/+te/dPfdd6tSpUoaN26cjh07lu19xMfHKyQkxOP22oRXfTBt3hJaNFSBgYGZLq5OTExUeHi4RVMBeYvpX4em57ssf/78uvW20qpUuYoe79NP5SMqacn7C60eyytMP4em55P8I6Pl16x+9dVXat26tSZOnKjSpUurbdu2+uyzz+RyZe0JNnFxcUpKSvK4DRz8go+nNl/+oCBFVYnWhvXrMra5XC5t2LBO1arXtHAyIO8w/evQ9HxX43K5dPHiBavH8ArTz6Hp+ST/yGj5NatVq1ZVs2bNNGHCBC1ZskRvv/222rVrp+LFi6t79+7q0aOHIiIirvr+TqdTTqfnMx7dufRqAMnJ53X40KGMt4/8cVh7ftmlIiEhKlGyVK7M4EvdYnto+NAhio6OUUzVanpnwXylpKSoXXvfPoM1t5h+/iTzM5qeTzL/69D0fG/NnKrb6zVUsRIllZJ8Xqu/+lLbt/yosZNnWT2a15h+Dk3PJ9k/o6UvXRUQEKBjx46pWLFiHtsPHTqkt99+W/PmzdPvv/+u9PT0bO03t166atPGH9SnV2ym7fe1aacRY+J9euzcetmcdxe+o/lz31JCwklFVo7SkKEvqlo13z+LNTdeusrK85dbTM+YF74GJeu+DnOLVfly46WrJo0doa0/btCpxJO6qWAhlY+opE6P9lTtuvV9fuzceukqic9RE1iRMasvXWXLsnqZ2+3WypUr1aJFi2zt14rXWc1tufmN0gq5/TqrQHaZ/jWYF1j1Oqu5JTfLKnAj/OJ1VsuUKaPAwMCr3u9wOLJdVAEAAGAOS69ZPXjwoJWHBwAAgM3xeywAAADYFmUVAAAAtkVZBQAAgG1RVgEAAGBblFUAAADYFmUVAAAAtkVZBQAAgG1RVgEAAGBblFUAAADYFmUVAAAAtkVZBQAAgG1RVgEAAGBblFUAAADYFmUVAAAAtuVwu91uq4fwttRLVk8AIO2iy+oRfMqZn5/1ASAngvNl7XH8bwsAAADboqwCAADAtiirAAAAsC3KKgAAAGyLsgoAAADboqwCAADAtiirAAAAsC3KKgAAAGyLsgoAAADboqwCAADAtiirAAAAsC3KKgAAAGyLsgoAAADboqwCAADAtiirObR40UK1atFUt9esqq6dO2rH9u1Wj+RVpueTzM9ocr7NmzZq4HN91LpFI9WtEaU1q1daPZJPmHwOJfPzSeZnJJ//s3NGymoOLPvyC00cH6/eT/fV4g+WKDKysvr0flyJiYlWj+YVpueTzM9oer7UlBRVrBSpwXHDrR7FZ0w/h6bnk8zPSD7/Z/eMlNUcWDB/rjo81Ent2j+oChERenHEKAUHB2vpxx9ZPZpXmJ5PMj+j6fka3NlIfZ7pryZNW1g9is+Yfg5NzyeZn5F8/s/uGSmrN+jihQva9fNO1avfIGNbQECA6tVroO3btlg4mXeYnk8yP6Pp+fIC08+h6fkk8zOSz//5Q0bK6g06fea00tPTFRYW5rE9LCxMCQkJFk3lPabnk8zPaHq+vMD0c2h6Psn8jOTzf/6Q0fKyOn36dD322GNavHixJGnBggWqUqWKKleurKFDh+rSpUvXfP+0tDSdPXvW45aWlpYbowMAAMDHLC2rL7/8soYOHark5GQNGDBA48aN04ABA9S1a1fFxsZqzpw5GjNmzDX3ER8fr5CQEI/bhHHxPp89tGioAgMDM118nJiYqPDwcJ8f39dMzyeZn9H0fHmB6efQ9HyS+RnJ5//8IaOlZXXevHmaN2+ePvzwQy1btkzDhg3T1KlTNWzYMMXFxWn27NlatGjRNfcRFxenpKQkj9vgIXE+nz1/UJCiqkRrw/p1GdtcLpc2bFinatVr+vz4vmZ6Psn8jKbnywtMP4em55PMz0g+/+cPGfNZefAjR46oTp06kqTq1asrICBANWrUyLi/Vq1aOnLkyDX34XQ65XQ6PbalXvvKAa/pFttDw4cOUXR0jGKqVtM7C+YrJSVF7dp3yJ0BfMz0fJL5GU3Pl5x8XocPHcp4+8gfh7Xnl10qEhKiEiVLWTiZ95h+Dk3PJ5mfkXz+z+4ZLS2rJUqU0M8//6zSpUtr7969Sk9P188//6zo6GhJ0s6dO1WsWDErR7yme1u11ulTpzRj+jQlJJxUZOUozZg9R2E2WTbPKdPzSeZnND3frp071adXbMbbUyaNkyTd16adRozx/eVAucH0c2h6Psn8jOTzf3bP6HC73W6rDj58+HDNnj1bbdu21apVq/Twww9r0aJFiouLk8Ph0CuvvKKHHnpIr732Wrb2m1srqwCuLu2iy+oRfMqZ3/LnpwKAXwvO4pKppWXV5XLp1Vdf1bp169SgQQO98MILeu+99/TPf/5TycnJatOmjaZPn66CBQtma7+UVcB6lFUAwLX4RVn1FcoqYD3KKgDgWrJaVvnfFgAAALZFWQUAAIBtUVYBAABgW5RVAAAA2BZlFQAAALZFWQUAAIBtUVYBAABgW5RVAAAA2BZlFQAAALZFWQUAAIBtUVYBAABgW5RVAAAA2BZlFQAAALZFWQUAAIBt5bN6AABmcubnZ2HYW9pFl9Uj+BRfgzAFn8kAAACwLcoqAAAAbIuyCgAAANuirAIAAMC2KKsAAACwLcoqAAAAbIuyCgAAANuirAIAAMC2KKsAAACwLcoqAAAAbIuyCgAAANuirAIAAMC2KKsAAACwLcoqAAAAbIuymkOLFy1UqxZNdXvNqurauaN2bN9u9UheZXo+yfyM5PN/pmc0Od/mTRs18Lk+at2ikerWiNKa1SutHsknTD6Hkvn5JHtnpKzmwLIvv9DE8fHq/XRfLf5giSIjK6tP78eVmJho9WheYXo+yfyM5PN/pmc0PV9qSooqVorU4LjhVo/iM6afQ9PzSfbPSFnNgQXz56rDQ53Urv2DqhARoRdHjFJwcLCWfvyR1aN5hen5JPMzks//mZ7R9HwN7mykPs/0V5OmLawexWdMP4em55Psn5GyeoMuXrigXT/vVL36DTK2BQQEqF69Btq+bYuFk3mH6fkk8zOSz/+ZntH0fHmB6efQ9HySf2S0tKwePXpUL730kpo2baqoqChFR0erTZs2euutt5Senm7laNd1+sxppaenKywszGN7WFiYEhISLJrKe0zPJ5mfkXz+z/SMpufLC0w/h6bnk/wjo2Vl9ccff1RUVJS++OILXbx4UXv37lXt2rVVsGBBDRo0SI0aNdKff/553f2kpaXp7NmzHre0tLRcSAAAAABfs6ys9u/fXwMGDNCPP/6o7777TvPmzdOePXu0ePFiHThwQMnJyXrxxRevu5/4+HiFhIR43CaMi/f5/KFFQxUYGJjp4uPExESFh4f7/Pi+Zno+yfyM5PN/pmc0PV9eYPo5ND2f5B8ZLSurmzdvVrdu3TLe7tKlizZv3qzjx48rNDRU48eP14cffnjd/cTFxSkpKcnjNnhInC9HlyTlDwpSVJVobVi/LmOby+XShg3rVK16TZ8f39dMzyeZn5F8/s/0jKbnywtMP4em55P8I2M+qw5crFgxHT16VOXLl5ckHT9+XJcuXVKRIkUkSRUrVtSpU6euux+n0ymn0+mxLfWS9+e9km6xPTR86BBFR8copmo1vbNgvlJSUtSufYfcGcDHTM8nmZ+RfP7P9Iym50tOPq/Dhw5lvH3kj8Pa88suFQkJUYmSpSyczHtMP4em55Psn9GystquXTs99dRTmjBhgpxOp8aMGaPGjRurQIECkqTdu3fr1ltvtWq8LLm3VWudPnVKM6ZPU0LCSUVWjtKM2XMUZpNl85wyPZ9kfkby+T/TM5qeb9fOnerTKzbj7SmTxkmS7mvTTiPG+P6Stdxg+jk0PZ9k/4wOt9vttuLA586d0+OPP66PP/5Y6enpql+/vt555x2VK1dOkvTVV18pKSlJHTt2zPa+c2tlFQDgv9Iuuqwewaec+Xl1SthbcBaXTC0rq5elpqbq0qVLKlSokPf2SVkFAFwHZRWwVlbLqmWXAVwWHBxs9QgAAACwKX7sAgAAgG1RVgEAAGBblFUAAADYFmUVAAAAtkVZBQAAgG1RVgEAAGBblFUAAADYFmUVAAAAtkVZBQAAgG1RVgEAAGBblFUAAADYFmUVAAAAtkVZBQAAgG1RVgEAAGBb+aweAABgP2kXXVaP4HPO/KzXAP6Ar1QAAADYFmUVAAAAtkVZBQAAgG1RVgEAAGBblFUAAADYFmUVAAAAtkVZBQAAgG1RVgEAAGBblFUAAADYFmUVAAAAtkVZBQAAgG1RVgEAAGBblFUAAADYFmUVAAAAtkVZzaHFixaqVYumur1mVXXt3FE7tm+3eiSvMj2fZH5G8vk/kzNu3rRRA5/ro9YtGqlujSitWb3S6pF8wuRzKJHPBHbOaHlZvXDhgt5//30NGDBAjzzyiB555BENGDBAH3zwgS5cuGD1eNe07MsvNHF8vHo/3VeLP1iiyMjK6tP7cSUmJlo9mleYnk8yPyP5/J/pGVNTUlSxUqQGxw23ehSfMf0cks//2T2jpWV13759ioqKUmxsrLZs2SKXyyWXy6UtW7boscceU3R0tPbt22fliNe0YP5cdXiok9q1f1AVIiL04ohRCg4O1tKPP7J6NK8wPZ9kfkby+T/TMza4s5H6PNNfTZq2sHoUnzH9HJLP/9k9o6VltU+fPqpataqOHz+uNWvW6L333tN7772nNWvW6Pjx44qOjlbfvn2tHPGqLl64oF0/71S9+g0ytgUEBKhevQbavm2LhZN5h+n5JPMzks//5YWMpjP9HJLP//lDRkvL6vfff6+XX35ZRYoUyXRfkSJFNGbMGH333XcWTHZ9p8+cVnp6usLCwjy2h4WFKSEhwaKpvMf0fJL5Gcnn//JCRtOZfg7J5//8IWM+Kw9etGhR/frrr4qJibni/b/++quKFi16zX2kpaUpLS3NY5s70Cmn0+mtMQEAAGARS1dWn3jiCT322GOaPHmytm/fruPHj+v48ePavn27Jk+erO7du+vJJ5+85j7i4+MVEhLicZswLt7ns4cWDVVgYGCmi48TExMVHh7u8+P7mun5JPMzks//5YWMpjP9HJLP//lDRkvL6ujRozVkyBBNmDBBNWrUUKlSpVSqVCnVqFFDEyZM0JAhQzRy5Mhr7iMuLk5JSUket8FD4nw+e/6gIEVVidaG9esytrlcLm3YsE7Vqtf0+fF9zfR8kvkZyef/8kJG05l+Dsnn//who6WXAUjSkCFDNGTIEB08eFDHjh2TJJUoUULlypXL0vs7nZl/5Z96yetjXlG32B4aPnSIoqNjFFO1mt5ZMF8pKSlq175D7gzgY6bnk8zPSD7/Z3rG5OTzOnzoUMbbR/44rD2/7FKRkBCVKFnKwsm8x/RzSD7/Z/eMlpfVy8qVK5epoP7+++8aMWKE3n77bYumurZ7W7XW6VOnNGP6NCUknFRk5SjNmD1HYTZZNs8p0/NJ5mckn/8zPeOunTvVp1dsxttTJo2TJN3Xpp1GjPH9JV25wfRzSD7/Z/eMDrfb7bZ6iKvZtm2batWqpfT09Gy9X26trAKAqdIuuqweweec+S3/uzhAnhacxSVTS1dWP/nkk2vef+DAgVyaBAAAAHZk6cpqQECAHA6HrjWCw+FgZRUAchkrqwB8Lasrq5Z+pZYsWVIff/xxxp9Z/ftt8+bNVo4HAAAAi1laVmvXrq1NmzZd9f7rrboCAADAbJZeszp48GCdP3/+qvdHRETo66+/zsWJAAAAYCe2fjWAG8U1qwCQM1yzCsDX/OKaVQAAAOBaKKsAAACwLcoqAAAAbIuyCgAAANuirAIAAMC2KKsAAACwLcoqAAAAbIuyCgAAANuirAIAAMC2KKsAAACwLzdyJDU11T1ixAh3amqq1aP4jOkZTc/ndpufkXz+z/SM5PN/pme0cz6H2+12W12Y/dnZs2cVEhKipKQkFSlSxOpxfML0jKbnk8zPSD7/Z3pG8vk/0zPaOR+XAQAAAMC2KKsAAACwLcoqAAAAbIuymkNOp1MjRoyQ0+m0ehSfMT2j6fkk8zOSz/+ZnpF8/s/0jHbOxxOsAAAAYFusrAIAAMC2KKsAAACwLcoqAAAAbIuyCgAAANuirObQv/71L5UtW1bBwcG644479MMPP1g9ktd8++23atOmjUqVKiWHw6GlS5daPZJXxcfH6/bbb1fhwoVVrFgxtWvXTrt377Z6LK+ZOXOmqlWrpiJFiqhIkSKqX7++vvzyS6vH8plXX31VDodD/fv3t3oUrxk5cqQcDofHrXLlylaP5VV//PGHHn30UYWFhalAgQKqWrWqfvzxR6vH8pqyZctmOocOh0N9+/a1ejSvSE9P1/Dhw1WuXDkVKFBAFSpU0JgxY2TSc7f//PNP9e/fX2XKlFGBAgXUoEEDbdy40eqxbtj1vre73W699NJLKlmypAoUKKDmzZtr79691gz7/1FWc+C9997TwIEDNWLECG3evFnVq1fXPffcoxMnTlg9mlecP39e1atX17/+9S+rR/GJb775Rn379tX69eu1YsUKXbx4US1bttT58+etHs0rbrvtNr366qvatGmTfvzxRzVt2lRt27bVzp07rR7N6zZu3KjZs2erWrVqVo/iddHR0Tp69GjGbe3atVaP5DWnT59Ww4YNlT9/fn355Zf6+eefNWnSJIWGhlo9mtds3LjR4/ytWLFCktSxY0eLJ/OOcePGaebMmZo+fbp27dqlcePGafz48Xr99detHs1rnnjiCa1YsUILFizQjh071LJlSzVv3lx//PGH1aPdkOt9bx8/frymTZumWbNmacOGDSpYsKDuuecepaam5vKk/8ONG1a3bl133759M95OT093lypVyh0fH2/hVL4hyb1kyRKrx/CpEydOuCW5v/nmG6tH8ZnQ0FD3nDlzrB7Dq/788093xYoV3StWrHA3btzY3a9fP6tH8poRI0a4q1evbvUYPjNkyBD3nXfeafUYuapfv37uChUquF0ul9WjeMV9993n7tmzp8e2Dh06uLt27WrRRN6VnJzsDgwMdH/22Wce22vVquUeNmyYRVN5z9+/t7tcLneJEiXcEyZMyNh25swZt9PpdL/77rsWTPgXVlZv0IULF7Rp0yY1b948Y1tAQICaN2+udevWWTgZblRSUpIk6eabb7Z4Eu9LT0/X4sWLdf78edWvX9/qcbyqb9++uu+++zy+Fk2yd+9elSpVSuXLl1fXrl116NAhq0fymk8++UR16tRRx44dVaxYMdWsWVNvvvmm1WP5zIULF/TOO++oZ8+ecjgcVo/jFQ0aNNCqVau0Z88eSdK2bdu0du1atWrVyuLJvOPSpUtKT09XcHCwx/YCBQoY9VuOyw4ePKhjx455/H8aEhKiO+64w9Juk8+yI/u5hIQEpaenq3jx4h7bixcvrl9++cWiqXCjXC6X+vfvr4YNGyomJsbqcbxmx44dql+/vlJTU1WoUCEtWbJEVapUsXosr1m8eLE2b97s19ePXcsdd9yhefPmKTIyUkePHtWoUaN011136aefflLhwoWtHi/HDhw4oJkzZ2rgwIEaOnSoNm7cqOeee05BQUGKjY21ejyvW7p0qc6cOaPu3btbPYrXvPDCCzp79qwqV66swMBApaen65VXXlHXrl2tHs0rChcurPr162vMmDGKiopS8eLF9e6772rdunWKiIiwejyvO3bsmCRdsdtcvs8KlFVAf63O/fTTT8b9pBwZGamtW7cqKSlJH374oWJjY/XNN98YUVh///139evXTytWrMi06mGK/12dqlatmu644w6VKVNG77//vh5//HELJ/MOl8ulOnXqaOzYsZKkmjVr6qefftKsWbOMLKtvvfWWWrVqpVKlSlk9ite8//77WrhwoRYtWqTo6Ght3bpV/fv3V6lSpYw5hwsWLFDPnj116623KjAwULVq1dIjjzyiTZs2WT1ansFlADcoPDxcgYGBOn78uMf248ePq0SJEhZNhRvxzDPP6LPPPtPXX3+t2267zepxvCooKEgRERGqXbu24uPjVb16dU2dOtXqsbxi06ZNOnHihGrVqqV8+fIpX758+uabbzRt2jTly5dP6enpVo/odUWLFlWlSpW0b98+q0fxipIlS2b6wSkqKsqoSx0u++2337Ry5Uo98cQTVo/iVYMHD9YLL7ygzp07q2rVqurWrZsGDBig+Ph4q0fzmgoVKuibb77RuXPn9Pvvv+uHH37QxYsXVb58eatH87rL/cVu3YayeoOCgoJUu3ZtrVq1KmOby+XSqlWrjLsm0FRut1vPPPOMlixZotWrV6tcuXJWj+RzLpdLaWlpVo/hFc2aNdOOHTu0devWjFudOnXUtWtXbd26VYGBgVaP6HXnzp3T/v37VbJkSatH8YqGDRtmerm4PXv2qEyZMhZN5Dtz585VsWLFdN9991k9ilclJycrIMCzSgQGBsrlclk0ke8ULFhQJUuW1OnTp7V8+XK1bdvW6pG8rly5cipRooRHtzl79qw2bNhgabfhMoAcGDhwoGJjY1WnTh3VrVtXU6ZM0fnz59WjRw+rR/OKc+fOeazgHDx4UFu3btXNN9+s0qVLWziZd/Tt21eLFi3Sf/7zHxUuXDjjepyQkBAVKFDA4ulyLi4uTq1atVLp0qX1559/atGiRVqzZo2WL19u9WheUbhw4UzXFxcsWFBhYWHGXHc8aNAgtWnTRmXKlNGRI0c0YsQIBQYG6pFHHrF6NK8YMGCAGjRooLFjx6pTp0764Ycf9MYbb+iNN96wejSvcrlcmjt3rmJjY5Uvn1nfdtu0aaNXXnlFpUuXVnR0tLZs2aLXXntNPXv2tHo0r1m+fLncbrciIyO1b98+DR48WJUrV/bb7/XX+97ev39/vfzyy6pYsaLKlSun4cOHq1SpUmrXrp11Q1v2OgSGeP31192lS5d2BwUFuevWretev3691SN5zddff+2WlOkWGxtr9WhecaVsktxz5861ejSv6Nmzp7tMmTLuoKAg9y233OJu1qyZ+6uvvrJ6LJ8y7aWrHn74YXfJkiXdQUFB7ltvvdX98MMPu/ft22f1WF716aefumNiYtxOp9NduXJl9xtvvGH1SF63fPlytyT37t27rR7F686ePevu16+fu3Tp0u7g4GB3+fLl3cOGDXOnpaVZPZrXvPfee+7y5cu7g4KC3CVKlHD37dvXfebMGavHumHX+97ucrncw4cPdxcvXtztdDrdzZo1s/xz1+F2G/RnJgAAAGAUrlkFAACAbVFWAQAAYFuUVQAAANgWZRUAAAC2RVkFAACAbVFWAQAAYFuUVQAAANgWZRUAAAC2RVkFAJvp3r27x582vPvuu9W/f/9cn2PNmjVyOBw6c+ZMrh8bAC6jrAJAFnXv3l0Oh0MOh0NBQUGKiIjQ6NGjdenSJZ8e9+OPP9aYMWOy9FgKJgDT5LN6AADwJ/fee6/mzp2rtLQ0ffHFF+rbt6/y58+vuLg4j8dduHBBQUFBXjnmzTff7JX9AIA/YmUVALLB6XSqRIkSKlOmjPr06aPmzZvrk08+yfjV/SuvvKJSpUopMjJSkvT777+rU6dOKlq0qG6++Wa1bdtWv/76a8b+0tPTNXDgQBUtWlRhYWH65z//Kbfb7XHMv18GkJaWpiFDhugf//iHnE6nIiIi9NZbb+nXX39VkyZNJEmhoaFyOBzq3r27JMnlcik+Pl7lypVTgQIFVL16dX344Ycex/niiy9UqVIlFShQQE2aNPGYEwCsQlkFgBwoUKCALly4IElatWqVdu/erRUrVuizzz7TxYsXdc8996hw4cL67rvv9P3336tQoUK69957M95n0qRJmjdvnt5++22tXbtWp06d0pIlS655zMcee0zvvvuupk2bpl27dmn27NkqVKiQ/vGPf+ijjz6SJO3evVtHjx7V1KlTJUnx8fH697//rVmzZmnnzp0aMGCAHn30UX3zzTeS/irVHTp0UJs2bbR161Y98cQTeuGFF3z1YQOALOMyAAC4AW63W6tWrdLy5cv17LPP6uTJkypYsKDmzJmT8ev/d955Ry6XS3PmzJHD4ZAkzZ07V0WLFtWaNWvUsmVLTZkyRXFxcerQoYMkadasWVq+fPlVj7tnzx69//77WrFihZo3by5JKl++fMb9ly8ZKFasmIoWLSrpr5XYsWPHauXKlapfv37G+6xdu1azZ89W48aNNXPmTFWoUEGTJk2SJEVGRmrHjh0aN26cFz9qAJB9lFUAyIbPPvtMhQoV0sWLF+VyudSlSxeNHDlSffv2VdWqVT2uU922bZv27dunwoULe+wjNTVV+/fvV1JSko4ePao77rgj4758+fKpTp06mS4FuGzr1q0KDAxU48aNszzzvn37lJycrBYtWnhsv3DhgmrWrClJ2rVrl8cckjKKLQBYibIKANnQpEkTzZw5U0FBQSpVqpTy5fu//0YLFizo8dhz586pdu3aWrhwYab93HLLLTd0/AIFCmT7fc6dOydJ+vzzz3Xrrbd63Od0Om9oDgDILZRVAMiGggULKiIiIkuPrVWrlt577z0VK1ZMRYoUueJjSpYsqQ0bNqhRo0aSpEuXLmnTpk2qVavWFR9ftWpVuVwuffPNNxmXAfyvyyu76enpGduqVKkip9OpQ4cOXXVFNioqSp988onHtvXr118/JAD4GE+wAgAf6dq1q8LDw9W2bVt99913OnjwoNasWaPnnntOhw8fliT169dPr776qpYuXapffvlFTz/99DVfI7Vs2bKKjY1Vz549tXTp0ox9vv/++5KkMmXKyOFw6LPPPtPJkyd17tw5FS5cWIMGDdKAAQM0f/587d+/X5s3b9brr7+u+fPnS5Keeuop7d27V4MHD9bu3bu1aNEizZs3z9cfIgC4LsoqAPjITTfdpG+//ValS5dWhw4dFBUVpccff1ypqakZK63PP/+8unXrptjYWNWvX1+FCxdW+/btr7nfmTNn6qGHHtLTTz+typUrq1evXjp//rwk6dZbb9WoUaP0wgsvqHjx4nrmmWckSWPGjNHw4cMVHx+vqKgo3Xvvvfr8889Vrlw5SVLp0qX10UcfaenSpapevbpmzZqlsWPH+vCjAwBZ43Bf7Sp+AAAAwGKsrAIAAMC2KKsAAACwLcoqAAAAbIuyCgAAANuirAIAAMC2KKsAAACwLcoqAAAAbIuyCgAAANuirAIAAMC2KKsAAACwLcoqAAAAbOv/ASFopJut9g6mAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(0.75,\n",
       " '              precision    recall  f1-score   support\\n\\n   Chlorella       0.00      0.00      0.00         0\\n  Rhizoplane       0.00      0.00      0.00         1\\n       feces       0.67      0.80      0.73         5\\n  freshwater       0.33      0.50      0.40         2\\n         gut       0.50      0.83      0.62         6\\n        host       1.00      0.93      0.96        28\\n  hot spring       0.00      0.00      0.00         0\\n         non       0.75      0.43      0.55         7\\n    seawater       0.00      0.00      0.00         1\\n    sediment       0.00      0.00      0.00         1\\n     volcano       0.00      0.00      0.00         1\\n\\n    accuracy                           0.75        52\\n   macro avg       0.30      0.32      0.30        52\\nweighted avg       0.77      0.75      0.75        52\\n')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Split the data into features and target\n",
    "X = data.drop(columns=['sample', 'group2', 'group1'])\n",
    "y = data['group1']\n",
    "\n",
    "# Split the data into training set and test set\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# Train a Random Forest classifier\n",
    "clf = RandomForestClassifier(n_estimators=100, random_state=42)\n",
    "clf.fit(X_train, y_train)\n",
    "\n",
    "# Make predictions on the test set\n",
    "y_pred = clf.predict(X_test)\n",
    "\n",
    "# Compute accuracy\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "\n",
    "# Compute confusion matrix\n",
    "cm = confusion_matrix(y_test, y_pred)\n",
    "\n",
    "# Compute classification report\n",
    "report = classification_report(y_test, y_pred)\n",
    "\n",
    "# Plot the confusion matrix\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues', cbar=False)\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('True')\n",
    "plt.title('Confusion Matrix')\n",
    "plt.show()\n",
    "\n",
    "accuracy, report\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\DuYih\\AppData\\Local\\Temp\\ipykernel_9864\\2988958085.py:9: UserWarning: \n",
      "The palette list has fewer values (2) than needed (19) and will cycle, which may produce an uninterpretable plot.\n",
      "  sns.scatterplot(x=X_pca[:, 0], y=X_pca[:, 1], hue=y, palette=['red', 'blue'])\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\DuYih\\AppData\\Local\\Temp\\ipykernel_9864\\2988958085.py:22: UserWarning: \n",
      "The palette list has fewer values (2) than needed (19) and will cycle, which may produce an uninterpretable plot.\n",
      "  sns.scatterplot(x=X_tsne[:, 0], y=X_tsne[:, 1], hue=y, palette=['red', 'blue'])\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "\n",
    "# Perform PCA\n",
    "pca = PCA(n_components=2)\n",
    "X_pca = pca.fit_transform(X)\n",
    "\n",
    "# Plot the first two principal components\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.scatterplot(x=X_pca[:, 0], y=X_pca[:, 1], hue=y, palette=['red', 'blue'])\n",
    "plt.xlabel('PC1')\n",
    "plt.ylabel('PC2')\n",
    "plt.title('PCA Plot')\n",
    "plt.show()\n",
    "from sklearn.manifold import TSNE\n",
    "\n",
    "# Perform t-SNE\n",
    "tsne = TSNE(n_components=2, random_state=42)\n",
    "X_tsne = tsne.fit_transform(X)\n",
    "\n",
    "# Plot the first two components\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.scatterplot(x=X_tsne[:, 0], y=X_tsne[:, 1], hue=y, palette=['red', 'blue'])\n",
    "plt.xlabel('Component 1')\n",
    "plt.ylabel('Component 2')\n",
    "plt.title('t-SNE Plot')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAscAAAIjCAYAAADvI7a6AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/P9b71AAAACXBIWXMAAA9hAAAPYQGoP6dpAAB1SElEQVR4nO3deZzN5fvH8feZfQYzYxmzMAzZlSUyabVMWVJEkVRIKqUSbfoVWimSFqWdivbS+pWltCAJUxGiyDKrZWYwZv/8/rjHjDHnjMHMWWZez8fjPDif+3M+5zpmxlznPtd93TbLsiwBAAAAkJerAwAAAADcBckxAAAAUIjkGAAAAChEcgwAAAAUIjkGAAAACpEcAwAAAIVIjgEAAIBCJMcAAABAIZJjAAAAoBDJMQCgwtlsNk2ZMsXVYQDASSM5BgA3M3fuXNlstqJbQECAWrRoobFjxyo5ObnU+cnJybrnnnvUqlUrBQUFqUaNGurUqZMef/xxpaWl2X2OLl26yGaz6eWXXy53XDt27CgRl7e3txo1aqQrr7xS8fHxp/hqS/rrr780ZcoU7dixo0KuBwAny8fVAQAA7Hv00UfVpEkTZWVl6eeff9bLL7+sb775Rhs2bFBQUJAkac2aNerbt68OHTqk6667Tp06dZIk/fbbb5o2bZp+/PFHLV68uMR1t27dqjVr1igmJkbz58/XmDFjTiquoUOHqm/fvsrPz9emTZv08ssv63//+59++eUXdejQ4bRe819//aVHHnlE3bp1U0xMzGldCwBOBckxALipPn36qHPnzpKkm266SXXr1tXMmTP1+eefa+jQoUpLS9OVV14pb29vrV+/Xq1atSrx+CeeeEKvvfZaqeu+++67ql+/vp555hldddVV2rFjx0klomeffbauu+66ovvnn3++rrjiCr388st65ZVXTu3FAoCboKwCADxEjx49JEnbt2+XJL3yyivas2ePZs6cWSoxlqTw8HA99NBDpY4vWLBAV111lfr166eQkBAtWLCgQuNyZP369erTp4+Cg4NVs2ZN9ezZU7/88kvR+Ny5c3X11VdLkrp3715UvrF8+fLTig8ATgbJMQB4iH/++UeSVLduXUnSF198ocDAQF111VXlvsbq1au1bds2DR06VH5+fho4cKDmz59foXHZs3HjRl144YX6/fffdd999+nhhx/W9u3b1a1bN61evVqSdNFFF+nOO++UJD344IN655139M4776h169anFR8AnAzKKgDATaWnp2vv3r3KysrSihUr9OijjyowMFD9+vWTJG3atEktWrSQn59fua/57rvvKjo6Wueff74k6ZprrtGbb76p+Pj4ctcLZ2Zmau/evcrPz9fmzZt19913S1LRrK89Dz30kHJzc/Xzzz+radOmkqQbbrhBLVu21H333acffvhBTZs21YUXXqjnn39el1xyibp161bu1wUAFYXkGADcVFxcXIn7jRs31vz589WgQQNJUkZGhmrVqlXu6+Xl5emDDz7Q8OHDZbPZJJmSiPr162v+/PnlTo4nT56syZMnF90PDg7WU089pYEDB9o9Pz8/X4sXL9aAAQOKEmNJioyM1LXXXqvXXntNGRkZCg4OLvdrAYDKQnIMAG5q9uzZatGihXx8fBQeHq6WLVvKy6u4Gi44OFgHDx4s9/UWL16s1NRUdenSRdu2bSs63r17d7333nt66qmnSlzfkZtvvllXX321vLy8FBoaqrZt28rf39/h+ampqcrMzFTLli1LjbVu3VoFBQXatWuX2rZtW+7XAgCVheQYANxUly5dirpV2NOqVSvFx8crJyenXKUVR2uLBw8ebHf8hx9+UPfu3U94nebNm5ea1QaAqoLkGAA81OWXX65Vq1bpk08+0dChQ8s89/Dhw/r88881ZMgQuwv47rzzTs2fP79cyfHJCgsLU1BQkLZs2VJqbPPmzfLy8lJ0dLQkFZV7AICr0K0CADzUrbfeqsjISE2YMEF///13qfGUlBQ9/vjjkqTPPvtMhw8f1u23366rrrqq1K1fv3765JNPlJ2dXeFxent769JLL9Xnn39eYue75ORkLViwQBdccEFRvXGNGjUkyeHOfgBQ2Zg5BgAPVbt2bX322Wfq27evOnToUGKHvHXr1um9995T165dJZmSirp16+q8886ze60rrrhCr732mr7++muHC+tOx+OPP64lS5boggsu0G233SYfHx+98sorys7O1tNPP110XocOHeTt7a2nnnpK6enp8vf3L1o0CADOwMwxAHiw2NhYbdiwQbfeeqt++OEHjRs3TuPHj9fatWv1wAMP6KOPPlJKSoqWLl2qvn37ytvb2+51evbsqaCgIL377ruVEmfbtm31008/6cwzz9TUqVP1yCOPqHHjxvr+++8VGxtbdF5ERITmzJmjlJQUjRo1SkOHDtVff/1VKTEBgD02y7IsVwcBAAAAuANmjgEAAIBCJMcAAABAIZJjAAAAoBDJMQAAAFCI5BgAAAAoRHIMAAAAFGITkApQUFCghIQE1apVi61PAQAA3JBlWTp48KCioqLk5eV4fpjkuAIkJCQoOjra1WEAAADgBHbt2qWGDRs6HCc5rgC1atWSZP6xg4ODXRwNAAAAjpeRkaHo6OiivM0RkuMKcLSUIjg4mOQYAADAjZ2oBJYFeQAAAEAhkmMAAACgEMkxAAAAUIiaYwAAgCrMsizl5eUpPz/f1aFUKm9vb/n4+Jx2W12SYwAAgCoqJydHiYmJyszMdHUoThEUFKTIyEj5+fmd8jVIjgEAAKqggoICbd++Xd7e3oqKipKfn1+V3azMsizl5OQoNTVV27dvV/Pmzcvc6KMsJMcAAABVUE5OjgoKChQdHa2goCBXh1PpAgMD5evrq//++085OTkKCAg4peuwIA8AAKAKO9UZVE9UEa+1+vxrAQAAACdAcgwAAAAUIjkGAAAACpEcAwAAwC3deeed6tSpk/z9/dWhQwenPKfHJcezZ89WTEyMAgICFBsbq19//dXhuRs3btSgQYMUExMjm82mWbNmlTpnypQpstlsJW6tWrWqxFcAAADgmXJycpz+nDfeeKOGDBnitOfzqOT4gw8+0Pjx4zV58mStW7dO7du3V69evZSSkmL3/MzMTDVt2lTTpk1TRESEw+u2bdtWiYmJRbeff/65sl4CAFQPqanStm3S9u3SoUOujgaAAwcPHtSwYcNUo0YNRUZG6tlnn1W3bt00btw4SVJMTIwee+wx3XDDDQoODtbNN98sSfrkk0/Utm1b+fv7KyYmRs8880yJ69psNi1cuLDEsdDQUM2dO1eStGPHDtlsNr3//vs677zzFBAQoDPPPFM//PBDicc8//zzuv3229W0adNKef32eFRyPHPmTI0ePVojR45UmzZtNGfOHAUFBenNN9+0e/4555yj6dOn65prrpG/v7/D6/r4+CgiIqLoVq9evcp6CQBQtR05Iq1cKV1yidS8ubmNGiX9+6+rIwNgx/jx47VixQp98cUXWrJkiX766SetW7euxDkzZsxQ+/bttX79ej388MNau3atBg8erGuuuUZ//vmnpkyZoocffrgo8T0Z9957ryZMmKD169era9euuvzyy7Vv374KenWnxmOS45ycHK1du1ZxcXFFx7y8vBQXF6dVq1ad1rW3bt2qqKgoNW3aVMOGDdPOnTvLPD87O1sZGRklbgAASZs2SRddJP3+u7mfny99+KHUrZu0a5dLQwNQ0sGDBzVv3jzNmDFDPXv21Jlnnqm33npL+fn5Jc7r0aOHJkyYoDPOOENnnHGGZs6cqZ49e+rhhx9WixYtNGLECI0dO1bTp08/6RjGjh2rQYMGqXXr1nr55ZcVEhKiN954o6Je4inxmOR47969ys/PV3h4eInj4eHhSkpKOuXrxsbGau7cuVq0aJFefvllbd++XRdeeKEOHjzo8DFTp05VSEhI0S06OvqUnx8Aqoy0NOmBB0xCfLxdu8yMMgC38e+//yo3N1ddunQpOhYSEqKWLVuWOK9z584l7m/atEnnn39+iWPnn3++tm7dWiqxPpGuXbsW/d3Hx0edO3fWpk2bTuoaFc1jkuPK0qdPH1199dVq166devXqpW+++UZpaWn68MMPHT5m4sSJSk9PL7rtYjYEAExt8U8/OR7//HPnxQKgwtSoUeOkH2Oz2WRZVoljubm5FRVSpfKY5LhevXry9vZWcnJyiePJycllLrY7WaGhoWrRooW2bdvm8Bx/f38FBweXuAFAteftLZW1ZqNRI+fFAuCEmjZtKl9fX61Zs6boWHp6uv7+++8yH9e6dWutWLGixLEVK1aoRYsW8vb2liSFhYUpMTGxaHzr1q3KzMwsda1ffvml6O95eXlau3atWrdufUqvp6J4THLs5+enTp06admyZUXHCgoKtGzZshJT8qfr0KFD+ueffxQZGVlh1wSAaiEiQrrnHsfj11/vvFgAnFCtWrU0fPhw3Xvvvfr++++1ceNGjRo1Sl5eXrLZbA4fN2HCBC1btkyPPfaY/v77b82bN08vvvii7jnm579Hjx568cUXtX79ev3222+69dZb5evrW+pas2fP1meffabNmzfr9ttv14EDB3TjjTcWjW/btk3x8fFKSkrSkSNHFB8fr/j4+EptKedTaVeuBOPHj9fw4cPVuXNndenSRbNmzdLhw4c1cuRISdINN9ygBg0aaOrUqZLMIr6//vqr6O979uxRfHy8atasqWbNmkmS7rnnHl1++eVq3LixEhISNHnyZHl7e2vo0KGueZEA4KlsNmnIEGnpUumrr0oef+01Zo4BNzRz5kzdeuut6tevn4KDg3Xfffdp165dCggIcPiYs88+Wx9++KEmTZqkxx57TJGRkXr00Uc1YsSIonOeeeYZjRw5UhdeeKGioqL03HPPae3ataWuNW3aNE2bNk3x8fFq1qyZvvjiixJdw2666aYS7d06duwoSdq+fbtiYmJO/x/ADpt1fEGIm3vxxRc1ffp0JSUlqUOHDnr++ecVGxsrSerWrZtiYmJK9NBr0qRJqWtcfPHFWr58uSTpmmuu0Y8//qh9+/YpLCxMF1xwgZ544gmdccYZ5Y4pIyNDISEhSk9Pp8QCAFJTzQK8ZcukkBCpe3cpMlKqWdPVkQHVSlZWlrZv364mTZqUmewe6/Dhw2rQoIGeeeYZjRo1qtJiO5qjrV+/vkJ3vivrNZc3X/OomWPJtPwYO3as3bGjCe9RMTExpYrBj/f+++9XVGgAAEkKCzO3s892dSQATmD9+vXavHmzunTpovT0dD366KOSpP79+7s4MtfxuOQYAAAAFWfGjBnasmVL0fqun376qVpviEZyDAAAUE117NjRbi1wZSvPp/uu4jHdKgAAAIDKRnIMAAAAFCI5BgAAAAqRHANVQU6OZGfnIQAAcHJYkAd4sn37pC1bpBdekPbvl66+Wrr00vJttpCRIRUUmD60ZeyEBABAdUJyDLgby5J27pTWrTOJb4cO0plnSg0bljxv/37pySelmTOLjy1ebBLjH36QHO0clJgo/fKL9NxzUlaW2dL3iiuk6OjKekUAAHgMkmPAnViW9PvvUo8e0oEDxccbNjS7jbVoUXxs586SifGxx6dONcnv8TsiJSVJo0dLX39dfGz1aumZZ6Tly9neFwBQ7VFzDLiThASpX7+SibEk7d4tDRsm7d1bfOyDDxxf5+23S5571J9/lkyMj9q+XXr1VSkv79TiBgCgEsyePVsxMTEKCAhQbGysfv3110p/TpJjwJ0kJEh79tgf++03KTW1+P6RI46vk5trZqGPlZcnvfKK48fMnSulpJQ7VABANZKfbz5hfO8982d+fqU/5QcffKDx48dr8uTJWrdundq3b69evXoppZJ/V5EcA+4kI6Ps8WMT4quucnze5ZdLoaGljxcUOH5MWWMAgOrr00/NOpbu3aVrrzV/xsSY45Vo5syZGj16tEaOHKk2bdpozpw5CgoK0ptvvlmpz0tyDLiTRo0cd44ICpLq1Cm+37y51KdP6fNq1jQL9WrVKnncx8fUGztyww1SWNjJxwwAqLo+/dRMxuzeXfL4nj3meCUlyDk5OVq7dq3i4uKKjnl5eSkuLk6rVq2qlOcsep5KvTqAk1O/vjRypP2x//s/KTJSSk83i+5ycqQ33zS3Nm2kBg1M8rtuXcmFe8fq0MG84z9ew4bSrbdKvr4V9lIAAB4uP1+6667SZXpS8bFx4yqlxGLv3r3Kz89XeHh4iePh4eFKSkqq8Oc7Ft0qAHcSEiI98YT5uGrmTCktTQoPlyZPlgYNkrZule69V/r2W5PIXn+99NBDpowiN1eqXbt0h4pjRUZK774rffed9PzzppXbtdeaG50qAADH+umn0jPGx7Isadcuc163bk4Lq7KRHAPuJiJCmjhRGjFCys42yW5UlPT331KXLsV1xzk50htvSEuXSj/+WP7kNipKuu46qW9f826/Th3J27vSXg4AwEMlJlbseSehXr168vb2VnJyconjycnJioiIqPDnOxZlFYA78vExm3I0a2ZKHrKyzIyyvQ4V//0nff/9yT9HnTqmxpjEGABgT2RkxZ53Evz8/NSpUyctW7as6FhBQYGWLVumrl27VvjzHYvkGPAEBw6Y3e8c+fBDM8sMAEBFufBCM0HjaKG4zWYmci68sFKefvz48Xrttdc0b948bdq0SWPGjNHhw4c10tHanApCWQXgCXx8TD2yo96O9eubcwAAqCje3ma31auuMonwsQvzjibMs2ZV2ieQQ4YMUWpqqiZNmqSkpCR16NBBixYtKrVIr6Ixcwx4gvBwafx4x+NjxlAeAQCoeAMHSh9/bDoiHathQ3N84MBKffqxY8fqv//+U3Z2tlavXq3Y2NhKfT6JmWPAc/TvL33+ubRoUcnjDz1kapMBAKgMAwea30E//WQW30VGmlKKKjopQ3IMeIrISLPF8z//SJ99JtWoYdq7NWxoWrgBAFBZvL2rVLu2spAcA54kPNzczjvP1ZEAAFAlUXMMAAAAFGLmGHAHlmU6UeTnS3XrSv7+ro4IAIBqiZljwNUSEqQXX5QuusjsgDdhgqkrtreXPQAAqFTMHAOulJgoDR4srVhRfGz2bGnBAunXX+lCAQCAkzFzDLjS77+XTIyPOnBAmjrV/nbRAACg0pAcA65iWdLbbzse/+QTad8+58UDAABIjgGXsdmkwEDH435+jvezBwAAlYLkGHClm24qe6x+fefFAgCAA/n50vLl0nvvmT/z8yv/OX/88UddfvnlioqKks1m08KFCyv/SUVyDLhW8+bSqFGlj7doIY0ZI/n6Oj8mAACO8emnUkyM1L27dO215s+YGHO8Mh0+fFjt27fX7NmzK/eJjkO3CsCV6tUzC+9uuMG0czt4ULruOunii8220AAAuNCnn0pXXVW6u+iePeb4xx9LAwdWznP36dNHffr0qZyLl4HkGHC1sDBzO/dc8zlVWXXIAAA4SX6+dNdd9tvuW5ZZFjNunNS/v+Tt7fTwKg1lFYC78PMjMQYAuI2ffpJ273Y8blnSrl3mvKqE5BgAAAClJCZW7HmegrIKoKrLzzdbVO/fb2anw8JMrTMAAGWIjKzY8zwFM8dAVXbggPTOO1KHDubWpo3Uu7e0aZOrIwMAuLkLLzRrwx213LfZpOhoc15VQnIMVGWrVkkjR5pZ46PWrjXdMHbudF1cAAC35+0tPfec+fvxCfLR+7NmVd5ivEOHDik+Pl7x8fGSpO3btys+Pl47K/n3F8kxUFWlpEj33Wd/LDVV+vln58YDAPA4Aweadm0NGpQ83rBh5bZxk6TffvtNHTt2VMeOHSVJ48ePV8eOHTVp0qTKe1JRcwxUXdnZ0saNjsd//NF0cwcAoAwDB5p2bT/9ZBbfRUaaUorKbt/WrVs3Wfb6yFUykmOgqvLxMW/tHfXhadvWufG4Sn6++Tf480/Tc6hjR7O1U0SEqyMDAI/h7S116+bqKJyD5BioqiIipP/7P7MN9fH8/aW+fZ0fk7Pl50u//SZdeqmUkVF8vGNHaeFCqVEjl4UGAHBP1BwDVZXNZj4Lu+22kispQkKkRYvMEuOqbs8eqVevkomxJK1fL91/v3TokGviAgC4LWaOgaqsfn3pySfN/p5//y3VqmVKCqKiTNlFVbdpk5Sebn/szz9NclyzpnNjAgC4tWrw2xGo5kJCzK15c1dH4nz2tm1q0kSaMUPascPMHjdvLg0ebGbS2b4bQBXkikVtrlIRr5XkGEDV1a5dyft160ovvywNHy4lJxcfnzJF+vRTU4Lh7+/UEAGgsvj6+kqSMjMzFVhN3vxnZmZKKn7tp4LkGEDV1bChdNFFpm2dJI0eLU2dWjIxlszCvcGDTRlGkybOjxMAKoG3t7dCQ0OVkpIiSQoKCpLN0XZ3Hs6yLGVmZiolJUWhoaHyPo0+cyTHAKqu+vWl+fOlRx+V5s2TYmOladPsn5udLW3YQHIMoEqJKGxbeTRBrupCQ0OLXvOpIjkGULU1bGj2P5040fHivKNONA4AHsZmsykyMlL169dXbm6uq8OpVL6+vqc1Y3wUyTGAqi8w0MwIJySY3sY7d9o/r1Mn58YFAE7i7e1dIYljdUCfYwDVR1SU9OKL9seuv55d8wAAJMcAqplu3cwCvXPPNb2eGzWSZs+Wpk+Xatd2dXQAABejrAJA9VKrlnThhdJXX0mZmSZBjogouYsgAKDaIjkGUD3VrWtuAAAcg7IKAAAAoBDJMQAAAFCI5BgAAAAoRHIMAAAAFCI5BgAAAAp5XHI8e/ZsxcTEKCAgQLGxsfr1118dnrtx40YNGjRIMTExstlsmjVr1mlfEwAAAFWXRyXHH3zwgcaPH6/Jkydr3bp1at++vXr16qWUlBS752dmZqpp06aaNm2aIhzsfHWy1wQAAEDVZbMsy3J1EOUVGxurc845Ry8Wbv9aUFCg6Oho3XHHHXrggQfKfGxMTIzGjRuncePGVdg1j8rIyFBISIjS09MVHBx88i8MAAAAlaq8+ZrHzBzn5ORo7dq1iouLKzrm5eWluLg4rVq1yqnXzM7OVkZGRokbAAAAPJ/HJMd79+5Vfn6+wsPDSxwPDw9XUlKSU685depUhYSEFN2io6NP6fkBAADgXjwmOXYnEydOVHp6etFt165drg4JAAAAFcDH1QGUV7169eTt7a3k5OQSx5OTkx0utqusa/r7+8vf3/+UnhMAAADuy2Nmjv38/NSpUyctW7as6FhBQYGWLVumrl27us014YEsS9q9W/rzT2nTJik11dURAQAAF/GYmWNJGj9+vIYPH67OnTurS5cumjVrlg4fPqyRI0dKkm644QY1aNBAU6dOlWQW3P31119Ff9+zZ4/i4+NVs2ZNNWvWrFzXRBV38KC0dKl0223S0Trzs86S3nnH/OnlMe8fAQBABfCo5HjIkCFKTU3VpEmTlJSUpA4dOmjRokVFC+p27twpr2OSmYSEBHXs2LHo/owZMzRjxgxdfPHFWr58ebmuiSruzz+lgQNLH7voIik+XmrSxCVhAQAA1/CoPsfuij7HHurAAenKK6UffrA//uyz0nF9sQEAgGeqcn2OgQp3+LCZHXZk+XIpL89Z0QAAADdAcozqy89PatTI8XibNpKPR1UeAQCA00RyjOqrfn1p0iT7Y97e0g03ODceAADgciTHqN66dZMeeKBkV4oaNaTPPpMaN3ZZWAAAwDVYkFcBWJDn4Q4elJKTpc2bpaAgqWlTKSrKlF0AAIAqobz5GgWVQK1a5lbY+xoAAFRflFUAAAAjK0vau9d08wGqKZJjAACqu6wsacMGacwYqUcP6frrpV9/lTIyXB0Z4HSUVQAAUJ1ZlrRihdSrl5Sfb479+adZmPz669KwYVJAgGtjBJyImWMAAKqzhARp+PDixPhYY8dKSUnOjwlwIZJjAACqs337pD177I9lZUk7djg1HMDVSI4BAIBjNpurIwCciuQYAIDqrG5dqWFD+2MBAWyIhGqH5BgAgOqsQQNp3jzJx84a/ZdfliIinB8T4EJ0qwAAoLo77zzp99+lZ5+VfvtNat5cuu8+qUULOlWg2iE5BgCgugsIkNq0kV58UTp4UAoKMjegGiI5BgAAhr+/uQHVGDXHAAAAQCGSYwAAAKAQyTEAAABQiOQYAAAAKERyDAAAABQiOQYAAAAKkRwDAAAAhUiOAQAAgEIkxwAAAEAhkmMAAACgEMkxAAAAUMjH1QEAAMqwe7f022/SkiVSkyZS//5Sw4ZSYGDFPUdmppSVJdWqJfn6Vtx1AcADkRwDgLv691+pe3dp587iYw88IH3yidSrlxQQcHrXP3BA2rRJmj5d2rVL6tZNuvVWKSZG8uHXA4DqibIKAHBHGRnS3XeXTIwlKT9fGjxYSkw8vesfPCi98YZ0/vnSwoXS2rXSM89I7dtLf/xxetcGAA9GcgwA7ig1VfrqK/tjOTkmmT0dycnS/feXPp6ZKY0eLe3de3rXBwAPRXIMAO4oN1cqKHA8vn//6V1/zRrH11+3Ttq37/SuDwAeiuQYANxRSIhZgOfIueee3vXLSrwBoBojOQYAdxQZKb34ov2x/v2lqKjTu36XLpLNZn+sXTupdu3Tu/6pyM83M+IHDzr/uQGgEMkxALirCy+Uvv9eOvtsc79ePWnaNGnOHPP30xEeLk2ZUvq4v7/0+utS/fqnd/2TYVmmM8cjj0iXXCINGiQtXmzqrk9Hbq60Y4f02WfSSy+ZUpKUlAoJGUDVZbMsy3J1EJ4uIyNDISEhSk9PV3BwsKvDAVDV7N1rFsp5e0sREebPirB/v/T77ybh3r1buugiadw4qWlT5/Y73rJF6trVtJY71pgx0mOPSXXrnvw1c3Kkn3+W+vWTjhwpPn7hhdJ770kNGpxezAA8TnnzNZLjCkByDMCjHTxoNgEJDjYzx86UkSHdcIP0+ef2x3//3ZR5nKzt26XWraXs7NJjd9xhejs7+7UCcKny5muUVQBAdVerlhQW5ppk8cAB6csvHY9/8UXJ+3v3mg1LTlSXvHKl/cRYMmUjycknFyeAaoMtkAAArlXWB5hHu2okJEhbt0rPPWdKQM45x5RdNGki1ahR+nG7djm+5pEjpuwCAOxg5hgA4Dq1a0uXXeZ4/IorzGzxggVme+vPPjML6156ySTI69fbf1zXro6v6SihBgCRHAMAXCk42NT/hoSUHhs9WoqONsnxxImlx7OyzOzxf/+VHmveXDrzTPvPOWOGaZUHAHaQHANAVZKaasoOTncHPWdq2dLsyjdxoll8162b2Tr78cdNp4r166W8PPuP3bChdJeLPXukTz+VZs2SrrpK8imsIIyOlj74QOrRozJfDQAPR80xAFQFe/dKP/5oehdv3y6ddZb05JNSx472Z2Xdic1m2sc98og0frzk52dmlI8dP9Hjj0pIkK680pReBAZKw4ZJ778veXmZmeTmzSvnNQCoMpg5BgBPd+iQNHu22Tzjzz/N/VWrpO7dzQyso1lXd+PrazY3Ob7FUvv2Jrm1p1Ur023jqHXrTGIsmYV3r79uZo8HDjTlFFlZlRM7gCqD5BgAPF1KiilBsOeuu6TEROfGU9H27ZPuu6/0cV9fs0lIbq65X1AgzZvn+Doff2yuBQBlIDkGAE+3Y4fj2eF9+0zJhSfbscP8OX++FBdnNve49lrTA/mVV8xM+VFBQY6vExBw4hINANUeNccA4M4OHTIbVuzdaxK/8HCpfv2S5wQElH0NZ24FXRnatDG76IWFSUOGmC2g//5bGjBAatiwuC2bl5d0883S22/bv87NN5t/PwAoAzPHAOCukpNNOUHLltK555pODj16SFu2lDyvYUPHi+5atTJJpScLDDRbPqekSC+8IE2ebGaR8/KkqVNL7uzXooU0cmTpa7RtK40aJXl7Oy9uAB6J5BgA3FFurtno4uWXpfz84uMbN5rSgj17io9FRUkffVR6hrhWLZNEevpsqWVJl1xiFtd17WpasvXvL33+uVnA5+dXfG5YmDRtmvTDD9LgwWaDkffflxYtMm8iAOAEKKsAAHeUkCA9+6z9sd27TVlBgwbmvo+PdNFFJnGeP1/64w9TetC/v9S4sfNirix160pLl5qk+IYbzOvNyzNJ8X//SeefX/L8+vXN7bzzzBuLY2eWAeAESI4BwB0dOSIdPOh4fPNm06rtKH9/08N3yhTTtcFR6zNPFB5u6osffNDMFNerZ3o5JyWZHfKOnTk+lo9P8QYgAFBO/K8BAO4oMNCURThKkFu1cvzYqpQYH9WokenlnJIiHT5saqyjopgVBlDhquD/oABQBURFSXffbX+sYcPqudNbSIh53R06SE2akBgDqBTMHMMzZWWZj1QPHTJtnCIizEwbUFX4+kq33WZauL3ySvGivLZtpU8+YXEZAFQSm2VZlquD8HQZGRkKCQlRenq6go/f9hQVLynJbAM7e7ZJkv39Tf/SiROlyEjXxLR/v1kYtGCBqRW9+mrzsbendwmA6x06ZL7n9+83bwDr1+f7CgBOQXnzNZLjCkBy7EQHD0oTJkivvVZ67LrrpBdfdNzvtbLs22e27p01q+TxuDizGYGrEnYAAFCkvPkaNcfwLMnJ0htv2B/budN8BH3sVrLOsHlz6cRYMq2nvvjCubEAAIDTQnIMz7J/v2lTdayYGOmrr0yv02HDpCuvlP73P7OqvbLl5prZakdmzXJOHAAAoEKwIA+epWbNkvf9/c1ipeHDTV3mUUuXStdfLz3zTOVunZuXJx044Hg8I6Pk7mYAAMCtMXMMz1K/vnTOOcX3Bw+W5s0rmRgf9c47ZqOAyhQYKA0Z4ni8Xz+pdu3KjQEAAFQYj0uOZ8+erZiYGAUEBCg2Nla//vprmed/9NFHatWqlQICAnTWWWfpm2++KTE+YsQI2Wy2ErfevXtX5kvA6ahXT3r/fallS3O/Vy/p008dnz9/fuXHFBdnSjuOV7OmdM89UkBA5ccAAAAqhEclxx988IHGjx+vyZMna926dWrfvr169eqlFAc1nStXrtTQoUM1atQorV+/XgMGDNCAAQO0YcOGEuf17t1biYmJRbf33nvPGS8Hp6ppU+n776VffpFat5bKarjijJKG6Ghp+XLp9tuloCCzXe2gQdKaNSZWAADgMTyqlVtsbKzOOeccvVi4AKqgoEDR0dG644479MADD5Q6f8iQITp8+LC++uqromPnnnuuOnTooDlz5kgyM8dpaWlauHDhKcdFKzcXysyUbrlFevdd++MrV0pduzonluxsKTXVJOuhoWbrXwAA4BaqXCu3nJwcrV27VnFxcUXHvLy8FBcXp1WrVtl9zKpVq0qcL0m9evUqdf7y5ctVv359tWzZUmPGjNG+ffvKjCU7O1sZGRklbnCRoCBp8mSpbt3SY1deKZ1xhvNi8fc3u5ZFR5MYAwDgoTwmOd67d6/y8/MVftzOUOHh4UqytxhLUlJS0gnP7927t95++20tW7ZMTz31lH744Qf16dNH+WV8HD916lSFhIQU3aKjo0/jleG0NWtmShj+7//M1rpdu0offSS99JJZwAcAAFBO1b6V2zXXXFP097POOkvt2rXTGWecoeXLl6tnz552HzNx4kSNHz++6H5GRgYJsqs1aSJNmSLddZep+aVDBKq6jAwpMVFatMjsHHnppWZhKG8IAeC0eExyXK9ePXl7eys5ObnE8eTkZEVERNh9TERExEmdL0lNmzZVvXr1tG3bNofJsb+/v/z9/U/yFaDS+fhUbk9jwF2kp5sWhnfdVXzs4Yelvn2l119ny3IAOA0eU1bh5+enTp06admyZUXHCgoKtGzZMnV1sOCqa9euJc6XpCVLljg8X5J2796tffv2KZJfLgBcYc8e04nl88+lP/80W6Ifb8eOkonxUd98I33ySdkdXAAAZfKY5FiSxo8fr9dee03z5s3Tpk2bNGbMGB0+fFgjR46UJN1www2aOHFi0fl33XWXFi1apGeeeUabN2/WlClT9Ntvv2ns2LGSpEOHDunee+/VL7/8oh07dmjZsmXq37+/mjVrpl69ernkNQKoxv76y9TMd+0qDRggtWsnXX21tHt3yfPeeMPxNZ55xv6mOACAcvGYsgrJtGZLTU3VpEmTlJSUpA4dOmjRokVFi+527twpL6/ifP+8887TggUL9NBDD+nBBx9U8+bNtXDhQp155pmSJG9vb/3xxx+aN2+e0tLSFBUVpUsvvVSPPfYYZRMAnGv3blM3vGdPyePLl0sPPGC2Sa9RQyooKH3OsfbtY8tyADgNHtXn2F3R5xjAaVuxQrrgAvtj3t7S338Xbyozf7503XX2z73iCrN1Ov8XAUAJVa7PMQBUaWXNBufnmw1vjrroIqlRo9Ln+fpKjz1GYgwAp4HkGADcQbNmjsdq1JBq1iy+f3TL8mHDTEIsmTrllSulli0rNUwAqOpIjgHAHTRoIHXpYn9swgQpKqrksSZNTB3y1q3Sv/9KX34pde5sdmoEAJwykmMAcAfh4dLHH0v9+0s2mzkWGCg99JB0++2Sn1/px9SoITVubBJle1uoAwBOmkd1qwCAKi06Wnr7bSklxdQYBwebDT2YDQYApyE5BgB3EhzMgjoAcCGSY8CNJCVJqalm0rBePfNJ+7HrsAAAQOWi5hhwE5s3Sz16mE3Rzj3XNB148EEpOdnVkQEAUH2QHANuYNcukxhv2lR8LD9feuEF6fXXpbw818UGAEB1QnIMuIFNm6TERPtjM2ZICQnOjQcAgOqK5BhwAxs3Oh5LS5Oyssp5oYwMU4dx5EhFhAUAQLVDcgy4gbZtHY+FhkoBASe4wP790rJl0pVXmq2Fb7vNTEdnZ1dkmAAAVHkkx4AbaNPGtLO15957S2+OVsLBg9Ls2VJcnPTdd9Lff0tz50rt20u//VYZ4QIAUGXRyg1wAw0bSt9/Lw0caPZ7CA2Vtm0zE8GjRkk+Zf2kJidLkyeXPp6bK910k7R8uekJBwAATojkGHATLRtn6fdPdkuL/ifbrp2yJvSU7ayz5B3eoOwHrl8vWZb9sc2bTckFyTEAAOVCcgy4g6wsafFi+QwcaHq4SdLMGVLz5tKSJVLjxo4f63WC6iibreLiBACgiqPmGHAHCQnSVVcVJ8ZHbd0qPfCAdPiw48d26CB5e9sfa99eqlu3wsIEAKCqIzkG3MHq1aZG2J6PP5ZSUhw/NiJCmjWr9PGgIOmNN6SwsAoJEQCA6oCyCsAdpKY6HsvLc5w4S1KNGtL110tdukgzZ0r//SddfLFZjBcTU+Ghwon27zc9qwMC+AQAAJyE5BhwB+ed53isWTMpOLjsx4eEmOR47lxTv1yz5glaXMCtpadL69ZJDz0k/fWXdMYZ0mOPSbGxUp06ro4OAKo0yioAd9CokdSzZ8ljYWHSWWdJL79sSifKIyDA9IEjMfZcubnSp59KPXpIK1eaLRLXrpX69jVvftj9EAAqlc2yHPWAQnllZGQoJCRE6enpCj7RDB/gSEKC9NJL0qJF0j33mCQpNdUsuGvZUmpwgpZu8BypqdL27SYJDgw0Da2jo6XatU1ZTLt2Zivw4/n7m50PmzRxfswA4OHKm6+RHFcAkmNUmLw8aeNG6dJLSy7Ca9xYWrrUlFjAsyUlSWPGSAsXljx+333mtn27dM45jh+/YkXZZTgAALvKm6/x2SvgTlJSpAEDihPjvn2l664zZRJbt5raYrpPeLZvvy2dGEvS009L/fubBZZl8fOrlLAAAAY1x4A7SU6Wduwwf581y5RUjBkjDR5sEqf775f27HFhgDgtqanSM884Hn/hBdOVolEj++P16rHbIQBUMmaOAXeSnm7+HDDA1CA//bS5Hxcn3Xij5OtruhdI1CB7orw8s8DOkdRU043igw/MgrxjF9/5+prjUVGVHiYAVGckx4A7adDAbPd87bXSyJHm2IMPmtZst91WnFidf7701ltme2l4jtq1pV69pNdftz8+aJDZvKVzZ+nPP00y/MsvUseO0rBhpm+1o90QAQAVguQYcCf165saY5vNbBndoYOZKRw7tuR5K1aYmcVVq6SGDV0SKk5BQIB0773Se++V3hI8Kkq67DLzdx8f09v4wQdN1xJfX+fHCgDVFDXHgDsJCTGlFJGRJkG+6SZpxgz75+7eLcXHOzU8VICmTaVffzWLLW02k/jecIP000/2a41JjAHAqZg5BtxNRITpSNCvn5lJPrpAz55ffjHnwXP4+Eht2kgLFpgyGZvNLLQLCnJ1ZK6VmGh6OC9ebBYdXnaZKTM6UfcOAKhgJMeAO6pTR3rxRWnNGvP3/fvtn9eqlXPjQsUJCTE3mE9BrrhCWr+++NiECdLbb5sNUkiQATgRZRWAu2rUSLroImncOPvjQUFmYR7gybKzpenTSybGkmRZptwkIcE1cQGotkiOAXcWFiaNHm0W6R2rTh2zY150tGviAipKSorj7h2WJX3zjXPjAVDtUVYBuLuICOn556WHHpK2bJFCQ01LrwYNaOsFz5efL2VmOh5PSnJeLAAgkmM4kpkpZWSY1lOhoa6OBrVrm1vLlq6OBKhYNWtKnTpJa9faH+/d2/yZlSXt2iV99pl5k9ijh3ThhY53EwSAU0RyjJKys6Vt26SpU00P3ago6f/+TzrnHLOtLQD3kZkp7d1rZl9DQky5jaepV898MnLhhVJBQcmxTp2kFi2knBzp++/Nor28PDP25pumq8UPP/CmEUCFouYYJa1ZYzaemD9f+vdf6eefpT59pFmzzEwyAPewY4fZNbFZM9M7+YorzOxrTo6rIzt57dubPs+dO5v7NWpId98tLVxoen4nJEhXXVWcGB+VnGx6gTvq5gIAp8BmWZbl6iA8XUZGhkJCQpSenq7g4GBXh3PqkpOliy82H1kez2Yzx9muGHC9XbtMJ5Pje2D7+poE+ayzXBLWadu7Vzp0yNTSh4ebft+S9O23xeUV9mzZYmaYAaAM5c3XmDlGsf377SfGklk17qgmEIBzrVhhf3OY3Fxp0iTP/ZSnXj2z2DQ6ujgxlqT09LIf54mz5QDcFskxinmd4NvBhxJ1wOUKCqSPP3Y8vmyZ5ybHjrRr53gsKsosVgWACkJyjGJ160pnn21/zMfH8RgA5/HyMgmhI3XrVr0Wf+Hh0o032h97/vmy/z0A4CSRHKNYvXrSG2/Y36r1+efNLygArjdqlOOxceNMb+yqpHZt6cknpZdeMiUXXl6mk8WyZdIll5g1EQBQQViQVwGqzII8ybSE2rFDevtt0zqpcWPzy7ZZM9MqCoDrpaWZVmYTJpQ83quX9NZbpsNDVWRZZlOQvDwpMNC8oQeAcipvvkZyXAGqVHJ8VH6+WTUeECD5+7s6GgDHy8gwLc6+/tosWOvXzyxmq1/f1ZEBgFsqb77GCivY5+3NTDHgzoKDza1VK1dHAgBVCskxAKB88vNNP3TLMgv/AgJcHREAVDgW5AGAK6SkmL7i27Z5xg5vu3dLTzwhdelidrS7804TO5V5AKoYkmOgmsrPN3tGwMmys6WVK6UePUxJRPPmZuvnjRvdN9Hcs8dsIz95svn7vn3Sa69J55xjtpkHgCqE5BioZvbuNRusDR8uXX219OmnJt+Bk2zdarZp37ix+NiKFdL559vf9c4drFwpbdhQ+nhamjRzppSV5fSQAKCykBwD1UhqqjRxonTBBdL8+dLnn0uDBkl9+5pPzVHJDh82pQl5eaXH0tOlDz4wO+C5k5wc6Z13HI9/8olnlIUAQDmRHAPVyNat0uuvlz7+xx/SvHmm1AKVKCND+vlnx+NLlkhHjjgvnvLw8rK/MdBRQUEn3noeADwI/6MB1URBgTRnjuPxOXPMGjFUIj+/sjfoaNTInONOfHykMWMcj48ZQ29lAFUKyTFQTRQUSAcPOh4/csT9PtGvcurWlR580PH4HXdIvr7Oi6e8WreWbryx9PFOnaRrr2XmGMCJ5eSYBbzz5kmPPWZ24U1IcHVUdp10n+PExEQtW7ZMderUUVxcnPyOmeU4fPiwnnnmGU2aNKlCgwRw+nx8zCK8hQvtjw8aZHI3VLLzz5fuukt67rniY15e0gsvSGec4bq4ylK7tjR+vNS7t/kGysoy3SvOPluqVcvV0QFwdzk50o8/SpddZv5+VOvW0v/+JzVu7LrY7Dip7aPXrFmjSy+9VAUFBcrNzVWDBg20cOFCtW3bVpKUnJysqKgo5VezwsUquX00qqQ9e6TLL5fWry95PDRUWrNGatbMJWFVP2lpUlKStGqV2UijSxcpPFyqWdPVkdm3bZvUrp3ZSj4uzpR+rFgh/fef9NNPZoUnADiyfbvUpo39zjbXXGMWw5S1tqGClDdfO6nk+JJLLlF0dLRef/11HT58WPfff78+/PBDLVmyRB07diQ5Jjmueo4cMTuCZWebH9wGDSSbzdVRnZbdu6V335Veftm8vCuvlO6910xaevhLc67Dh833Rlqamfn98UdTl9Kjh0ki/fxMwhsUdGrXT0iQ/vnHbBRyxhmmH3LDhhX6EsrFssxHoJMn2x/v1s30A6xd26lhAfAgn35qPp60x9vbrBZv0qTSwyhvvnZSZRVr167V7Nmz5eXlpVq1aumll15So0aN1LNnT3377bdq1KjRaQcOuMqhQ6b0oGhH3N27pccfl+bONclxZKQ0bZrUr59Up44rQz0tDRuaZHj4cJPLsQvwKdi3T3rpJfOfelqaNH16cd1tQYHZPW7IEGnBAunWW0++XuWff6RLLy25wUaDBqabRevWFfYyyiUnR/rlF8fjGzZImZkkxwAcS052PJafb37HupGTrjnOOm5K/IEHHpCPj48uvfRSvfnmmxUWGOAsu3dLy5aZVq5BQWZN1AUtUxR4/TAzG3hUYqLJKN980/zpwYuQvL3LbpqAE/jpJ9OT+O23zTaD111nvpEOHzbvsF55xfT+vegi6eeftff8/vr3X5NHRkebjfEaNnQwU793rzR0aOmd5/bskQYMkJYvd+4Xz9fXlFT873/2x884QwoMdF48ADxPly6Ox6KjJTf71P2kkuMzzzxTK1euVLt27Uocv+eee1RQUKChQ4dWaHCAJJNwJCSYWbOUFFPz2KyZFBFx2pfetctc7u+/i48tXSr999luBR6bGB/rgQekSy5xzUfccL3UVOnrr6X33jMzpps3S/ffL3XoYN4wrVtnvkc2bDCfMvj7a/WXyep3Y3jRJerWNd9n7dvbSZBTUkwBuD1//23GnZkce3lJI0dKzzxjf/OSKVM8+pMUAE4QHW1KsJYvLz02c6YUFeXsiMp0UlNfN9xwg3520MD+vvvu0yOPPEJpRVWQm2sW2vz5p/l4t6z+X5Xt8GGzjVurVtLtt0uPPCJdeKEplD3NPY/z8qTXXiuZGEvm0+v8tevtP0gyyYkr/03gWjk5pnPDI4+YjwoLCqSPP5bOPFNq2dLMKIeFmfu7d0sHDqh5i5JLO/btM1UTdnclzMws+/ld8b3XuLF5Q3Bs6YS/v0mYy5oRAgDJ9EKfP1+aMMGs3/Hykm64Qfr1V9MFx82c1II82FelFuSlpkpvvWVqbQ8eNN/AV14pPfuseefnbFu3moTD3rfp/febhUKn2Bc2MVE655zSOXZYmLT+yf+pwei+9h/o7W0y6qZNT+l54eH27zelNQcPSoMHmwTxrbdKnnPVVdLdd5s3mg8/rIOz5ym4XenFJsuXSxdffNzBf/81bwZzc0s/t81m3rDWqiUdOGCO1anjnB58eXnmE5zERPMGoWFD8+kNJRUAyisnx0wwpaebT9/++EOKjTVrNGJiTFlaJSpvvnZSM8dZWVn64osvdNDOzEVGRoa++OILZVdyUfXs2bMVExOjgIAAxcbG6tdffy3z/I8++kitWrVSQECAzjrrLH3zzTclxi3L0qRJkxQZGanAwEDFxcVp69atlfkS3FdenmnOff/9xbNTBQXSJ59IAweWXVBfWb780n5iLJkFUacRU0GB/fwjNVVKqN3GcQ3U4MGmCwGqp/37zfdd+/bSb7+VTowlM5O8c6c5d9Uqh7urJCXZORgRYT4lsWfKFHPNPn2kFi3M7bLLpPh4+yUPFcnHx+zgFxtrPr1p0oTEGMDJOTq51LGj9MQT5nf8Qw9JZ53luJzMBU4qOX7llVf03HPPqZadpu/BwcF6/vnn9dprr1VYcMf74IMPNH78eE2ePFnr1q1T+/bt1atXL6U42PN25cqVGjp0qEaNGqX169drwIABGjBggDZs2FB0ztNPP63nn39ec+bM0erVq1WjRg316tWr1MLDaiEhwcwY2/Pbb6ZA19nK2j3n4EGzyvUU1asnXX21/bE7pjVQ1sJFpfvOduhgOlY4oR8j3JTNZgrVv/vOfEzoyIsvmk896tdX0n77n260amXnYFCQqVmeMqV4g42jx66+2iSmv/1WfP7q1abP8I4dp/qKAMA5EhLMBNPxM1NZWabfsbvsmGedhHPOOcf64osvHI5/+eWX1jnnnHMylzwpXbp0sW6//fai+/n5+VZUVJQ1depUu+cPHjzYuuyyy0oci42NtW655RbLsiyroKDAioiIsKZPn140npaWZvn7+1vvvfdeueNKT0+3JFnp6ekn83Lcz8aNlmXmae3f5s1zfkyLFzuOp3Nny0pNPa3L//OPZYWFlb50166WlZKYa1k7dljWwoWW9fzzlrVypWUlJlbQC4OnKti507IuuMCy7r3Xss45x/H3Z9u2lrV1q2VNmmQtWpBaarhbN8tKSSnjiXJyzPffX3+ZPw8dsqyxYx0/3733mscAgLv69dey84z4+Ep9+vLmaydV3LF161a1b9/e4Xi7du0qrSQhJydHa9eu1cSJE4uOeXl5KS4uTqtWrbL7mFWrVmn8+PEljvXq1UsLC/fP3b59u5KSkhQXF1c0HhISotjYWK1atUrXXHON3etmZ2eXKB/JyMg41ZflXgICzEenjj6edUXNcdu2ZmHTMbP9kszs3axZZvr3NDRtaibeXnlF+vBDM0F3++3SFVdIYRE+khq73baWcLGsLOn3302te7dujj8KvOQS8w3VqpXObHpEtWubMmFfX+n666VHHzX17Q75+pb83ktNtb/S+6jvvjOfphzbOSI11RTVr1ljSoHatTMrTk+xTh8ATou9WsaTGXeSkyqryMvLU2pqqsPx1NRU5VVS3dvevXuVn5+v8ONqPcPDw5Vkt3BPSkpKKvP8o3+ezDUlaerUqQoJCSm6RbsiaawMERHSsGH2x8LCXLO3cFSU9M03ZiOFoztVdOgg/fCD+bMCNGli1vWtWGHyizFjTP4A2OXlZZLW7783ybG9DLd2bemmm0zZz9Spimzsp/h4aeNGs+HdCy+cwveYv3/Z7Qujosw5RyUkmJ/njh2lm2+W+vc3bzZ//NEsigGA0/Hff2ai4KefzARWYuKJHxMZWfL/qWMFB5uuFm7gpJLjtm3baunSpQ7HFy9erLZt2552UO5u4sSJSk9PL7rtckUtbmUICjI1x8cvnw8PNz2GXdXXNzradMvYssWs1F+82NRdVmDdr6+v+Zl1k59LuLOAAOnoJ1h33mn24r76avNN5O1t/r5smfn+3LdPevhheUWEq1EjqU0b82bM4Y7Se/eaXzD21jwEB5s2SI7cfXfxz0RurvT88+bn9liZmWYBn90ecgBQTtu2mXf7K1eaCay1a81t586yHxcRIU2dan/suefcZneqkyqruPHGGzV+/Hi1bdtW/fr1KzH25Zdf6oknntDMmTMrNMCj6tWrJ29vbyUf150gOTlZEQ5mUyIiIso8/+ifycnJijzmC5KcnKwOZcxK+vv7y9/ROx9P17Ch9NFHZtZpyxbzjdy0qZnmsrudl5MEBJiV8oArWZZshw+bcp477zSL7q680iwkWbDAfLqSlyeNHWt6eLZsKfXoceLrJiWZhPqZZ0w3il69TCLctGlxa6OsLNP3+847TeJ7lM1mzt2/3yTFvr7merNn23+u7Gwze0wrQgBlOXCguKVr/fqSn585vnOnabN67bWmJdtRTZqYrWZr1HDcXjIw0Oww27q1NGmSSbLbtDETcx06uE3J10klxzfffLN+/PFHXXHFFWrVqpVatmwpSdq8ebP+/vtvDR48WDfffHOlBOrn56dOnTpp2bJlGjBggCSpoKBAy5Yt09ixY+0+pmvXrlq2bJnGjRtXdGzJkiXq2rWrJKlJkyaKiIjQsmXLipLhjIwMrV69WmPGjKmU1+ERwsLMrYz6cqBa2rxZ6trV/EIYPdq0IdqzxyTLdetKd91VvOV4drb01Vcn7kGcmmqS6U8+KT726qumE8bq1aYUQjK/pKZMMZ+afP216Q9qs5k64k8/NbMx3bubmuOcHOnQIcfPeaLZHQDVV1aW9Ndf5k338uWma9Ott5r/3xo2NP8XjRxZMjGWpO3bpQcflF5/vez/9+rUMRt/nHOOdOSI+SjN3XbZPJXVfh9++KHVv39/q02bNlbr1q2t/v37Wx988MEprRw8Ge+//77l7+9vzZ071/rrr7+sm2++2QoNDbWSkpIsy7Ks66+/3nrggQeKzl+xYoXl4+NjzZgxw9q0aZM1efJky9fX1/rzzz+Lzpk2bZoVGhpqff7559Yff/xh9e/f32rSpIl15MiRcsdVZbpVAHDswAHLuuSS0qura9e2rJo1Levrry3L27v4ePv2VubfO60dO07QRKKs1du9e1tWWpo5LyPD3Jcsy8vLspo3t6xmzSzLZjPHBgywrMOHzbkJCWbM0XWXLKnsfy0AnmrtWsvy8Sn9/0a7dpa1Z49lLV1adseJ9etd/QocqpRuFfn5+ZoxY4a++OIL5eTkqF+/fpoyZYoCndQIfsiQIUpNTdWkSZOUlJSkDh06aNGiRUUL6nbu3Ckvr+Iy6vPOO08LFizQQw89pAcffFDNmzfXwoULdeaZZxadc9999+nw4cO6+eablZaWpgsuuECLFi1SwNHFXwAgmbKF42t4peKd6tasMR8P/vmn+fjx6ae143CYJv+f2WF5xAgHzVW+/NLxc377rZSWJoWEmJ7HDzwgLVpkNhU5vjPQvfcWFzNHRkozZkiFn7KV0Ly5iRMAjpeWJt1zj/2uVX/8YeqMT9RRogos+D2p7aMfe+wxTZkyRXFxcQoMDNS3336roUOH6s0336zMGN1eldo+GoB9//4rnXGG4/GHH5a+/FKHh92snd2Ha/4H3vp3l696dctWl3O9tOkff118sdk59a+/TEOLNm2k8DeekO2hh+xf08fHLEI9Wm9/4IDpO/h//1e86563t/T009KNN0qhocWPTUszi1fHjzelH0e3gp8xw2zTCgDH27XLdONxlBredptJnh2tWahVS1q3zjXdrcqhvPnaSSXHzZs31z333KNbbrlFkrR06VJddtllOnLkSIkZ2+qG5BioBvbvN+3Qfv7Z/viiRTqybbc+rzFM194YUOJ3S2Sk9P2SHL38mp+ee674eL160s6v/1RgbDv71xw6VHrttZKdWQ4eNNtXr19vao47djQdZY7fzVEyv+ASEsxj/PzMWgI7O5wCgCTTyaZtW8nR/g2TJ0vjxpn2kB99VHr8qadM5xw3WVh3vEpJjv39/bVt27YSfX0DAgK0bds2NXRVmy83QHIMVJy0NPP/ss1mFki7VWOY33+XzjvPtEQ71m23SXfeqX/zG6tl+wC7n0j2vjRft92UqysGlyzZevK+A7qvYJq8Zzxd8gERESYRL2u2GgAqUm6u+RTsqafsj2/caD7y2rPHdOuZPdu8+Y6IMAuGBw48we5GrlXefO2kNwE5vhbX19dXuW6yo0m1kZdX/JEqUEXk5Jjcc/Bg86l/q1bm07stW8z/w5W0v9DJadvWzNiOGWPatF1wgVmZ3bSpNGqU1qwucBjnt0u81fSM0u0QH3y6tjb0vc/sQjN4sOk48cIL0i+/kBgDcC5fX+mOO6ROnUqPvfBC8X4HDRqYbT43bDD/Sa9ZY2aT3TgxPhkntSDPsiyNGDGiRI/frKws3XrrrapxzMd+n376acVFiGK7d5tfmPPnm4LFW281vzxP1CoK8ABbtpiFa0fXcmRmmomJJUukRx4xra579SreKNElfHykFi3MpjQ7d5oNO+bONe2InntOGSscP9SyHCf4c7+oq2efPc/8QsrNNWUUR/uKHz5syij27jXHw8LYrQZA5cjPN/9ZLVgg7dhh2lGGhUlXXWUS4mNnW319q+z+AyeVHA8fPrzUseuuu67CgkEZdu2SLr3U9Fk96q23zNTaxInu1yMQOAkZGWaNmb1FzvXrSx1bHFZk3i75TvtQ+m+72eUtNtbsnugK/v6m60NMjGlm7+Mj1a6tc+V4lXaLFlJOtv1PfApbr5vrHltHkpwsPfmk9NJLxZl1u3am1q9Fi4p5LQAgmTfgH39syir27jWzxHfdZTY0qmZvyE+q5hj2VXrNcW6uyRymT7c/vnatdPbZFf+8gJPs3m1yzWN3Ta5Z00zK5mYc0aVZn6vO7deWXEHdqJFpUN+kibPDdSh15yEl/3VAGRnS0l+D9dxbIdq/30wCL/4yW8/N8ddXX5V8TIMG0hdf2PkRzs2Vpk0zu0gdLzpaWrXKPBgATld+vtl86LbbSo+dd5702WdVIkGulJpjuEhKiqlrdOTtt50XC1AJvLxKdiGTpFmzTG7YITxBde64rnRroZ07TW/fgwedFWbZdu9Wnecf1ZlDztR5Q2P04O9D9Pu7f2j82Cyt/CFH7Vsc1tU995XodTz1/w7qn/9t0VkbF8ia97apLUlLM4OJiabtmj27dplzj3XkiHlsfn5lvDoAVVlCgpkxtmflSvN/TjVCcuwJLKv06vhjHb+FI+BhwsPNDspHHZ0QTUuTQjeucJzwffaZ+fjP1VJTpY8/lnegv1m0V1Agn6XfquGAc/TUyL+VujtLdW4ZomGfDNS6md/rj482K3nF37ov6l35z3levgG+stUIkubNM58Q7dxpfuYdtVOSpE2bzJ/795tfXtdfL/XtKz3xhOnJzIeCAMrr4EFp3z7H43/84bxY3ADJsScIDZUuv9zx+LXXOi0UoCIdOFC80PmKK0xL3+Bg6dxzpaVLpcBAyftgmuMLFBSceLcmSdnZJt/cts10vqhQu3dL771nPsH58kuzNuCzz8xC2Zwc2f5vojrGpMn7+6Xy/vlHRd/QQ2cN76T6h/+T1xlNTUB33mluK1eajzB/+828trJ6ErdsaZLnF1+Uzj9f+uQTU2oxebJZ2Hc0eQaAEwkIMGsnHKlm7XpJjj1BzZrSY4+V3AjgqK5dpWO2wwY8xe7dZp1Hq1bm27hdO+mdd0xDln79zLf71q3S4bMvdHyR1q3N1splSEgwa1ZbtzZ1zeeeaxq+7N9fQS+iXz+zaGX9etOL7pFHzDbPr70mSfJeuli1/HPMJhxH9e1rMv/586WbbjL9QSdOlO6/X/rf/0w3mrVrTUsle6KizD9cYqJJho+XlmZiOlqiAQBlCQ83rSTtCQ01b8arEZJjT9Gsmfllef315hdno0bm49ePPzbbbwEeJD3d5G5ffWWaTgwZIl14ofTTT9KoUdIll0gjRpgFeks3N1R2LzufnNhspgF9eLjD50lNNbsqP/tscWXS7t3SdddJCxdWQLvwpUtNQny8LVvM8XPPlYKDtSvZT0euOqazz4gRphPF2WdLgwaZtox33mm6cHh5mcDDwszud7fcYo4d1aqVtGyZmcn57ruyY6uQdwAAqrwaNcwij3POKXk8NNRsQ1/NZo7pVlEBnLpDXmam+Szay8skBdV42254rq1bTTXQI4+YmeK//jL7aHTvbhLZGTNMe9833zRluIvmJqnjX/NV+81npJQUWV27quCp6fJuf5b9T1QK/fGH1L69/bGwMLPvRtOmkrf3KbyI9HSTzK5w0Ny4fXvp8suVn29p6OYpeuTm3Wo9pruZJY6NLW7PKJnZbx+f4pq/11835RVnnmnqh3NzS/Y5jogw5734ouPZZcnUkbCRCIDySk6W/vvP/OfZsKHZDa9hwyqTa5Q3XzupPsdwA0FB5naq0tLMR7FLlphfuJdeaj6iZSORyrdzp0mkvvrK9McdNsx8AlCzpqsjc7qsLLMwevBgkwQf9dxz5p9oyhQzsztliim1eG1hhGIa363bPx+qQL98ffK/GuoXU0dRjvNiSabSwZHUVJN3pqdLnTuf4guxld7xroiXlxQTI1ubtgr4N189Rsbom7dWqIP/Ftny8qT33ze7mowZY97w5uSYX0IffmhaKnXrZr43vL2lxo3Np0fH69HD8fOfd575lAkAyis83Ny6dHF1JC5VNd4KoHz27ZOeeca8E7zrLrOBSLt2ptYxJcXV0VVt//xjFk1de63ZeejJJ82s4MKFJbPDaiIgQLr77tIvvWFDUz302Wem2cLkyabioKBA2pPgpdU7o/TSF9F6YX6dMteOHFXWez4vL6lePWngwFNcpBcSYoJzZMQIqU4dee1N1UsPJ6pWLalxjLfpJlGzpjR8uPTgg+bcgwdNmdQVV5igr7rK/APccUeZZSOKjCzZ5uOowEBTcsLmQABw0kiOq5NNm6THHy99/LXXzCp5VI6MDPNGZPfuksctyyRQSUkuCcuVMjPNrO3xBgwwa9SOlZZmJlPfeUd64QXTKe3RR8vXjz4qyvF6vT59TBeLXbtO471h9+6mrvh47dqZJx84ULriCtW4fYTiv9mjYGXI1qyZqUceOlS6+GLzol94QXr6aVNuMXOm6WVXs6ZpyO/r6/j5a9c2GwR9/rl589W8uTR6tHmHwUJdADglJMfVxZEjppjTkaeeMh/touLt3Wu2QLMnP99xzWoVdnQn5OMFBpa9p8fBg6bk9qKLyv88b7xRuiy5ZUszKXu0RbK9bavLJSrKLIp9803pggtMKcOMGWZG+Kabik6z/fCD/KY+Iq9aQdKVV5pbQkLxdbZuNWU2Dz9sprRfeEFWbq65fllyc82W8vffb557xAjzjzRmTLV80wUAFYGa4+oiJ8cU2juyd+9pZAgoU35+2W0RquEmLmFhpp/x8XtcrF4t9ewpxcfbf9yVV5oWvuUtu4+KMov+3n3XzBAnJJiZ59xcU9GSlWU6rJ3WrqgNGpj64Lw8Uxc8bpzdhvk+786Tdf89ptzB3jroI0dMG7e4OGnDhrI3/jlq927TFu7IEZMkH+uJJ8wb4oCAU3pZAFBdMXNcXdSsaVbWOxIXd8J+sThFwcGmztuR8k6DViGRkfY/yFi2TLrmGvvJani4acF2MutRGzY01Qp33mnK7RcvNuX28+ebtXALFpjJ2qPNH07Zzz9LzZvLOnTYzBp/9JFZTXjszG9OjkliHWX+kvTnn6a7RIcO5Utq16wx17Rn7tyy3xADAOwiOa4uvL1N1mFvgU5QkFkdxQxT5QgPl156yX4rnIEDi/dKrkZ8fc1LX7zYdIoICpLOOsts8nbGGaYE/sYbTZlFUJCpUFi50jT5OFlt25qN4957z1QfLFhgJnr/7/9M/njrreZ5Tsuvv5oXtfAzs9Du6qulb74xs8S9e5tzwsLMi2nc2PF1GjUyCe3998sWGnri5z2+jv1YWVl8GgQAp4A+xxXAqX2OT4dlmc0JJkwwH99allkQ9PzzZmazPMv/cWoyM6WNG012tnKlmRq95x7Ty+y0py092759ptw9KckksH5+JhmOjCyuLKhbtwIS2ELJySZn9PWtwH/6tWtNJ5K//y553NvbtN648UYdmPCYgq4fKP+fvzdvVI9ns0lff21qPtq3Ny/4RPUeP/9sdk+xp1Ej867gRHXLgKdKTTWrar292QwL5VLefI3kuAJ4THJ8VHq62TnLssxqd3qhOs+BA6Z/mbe3yczK6pNbTWzdavK74ysAXn/d5JBl7PHhNqxPP5Vt0CD7g927y3rwQf2S1UEtm2SrTk6KKbuYPr14ZWJgoOltXK+eqfN46aXSO1XZk5ho2m7Y26Xvgw8cbwcLeLL0dPNpzX33me/96GjzUVD//mW3PkS1R3LsRB6XHANuIj3dJMCLFpUe8/IyE7HuvMFbQYGUkXxEIQ/eJtvcufZP8vaWtWSJMiOb6UimpXpvPm1mmb28zNaAvr5mTcDLL5vNeSSzn7a9Nhv27NplEoP33zezzg0amI4ZvXrxxhdVT0GBeeN37bWlx269VZo61Wx5DNjBDnkA3N6+fdK335Y+7uUlDbg8T4FpqVKiTL2uG5b9HNh+QEE/fCNbWZtt1K0r27ZtCnzjDWX/3wxTChEZKS1fbma/8vNL74by88/mnUN5kuPoaGnOHNOWIyfHJNpRUXwqgaopIcGsqrXnlVfM+hmSY5wmFuQBcJm8PFNP3L598aehUVHSnlU79X6rKYq6MlY691zlT35Eef/udG2wx8nLk3y2/KXA228yG3o4csst0saN8vrgA/nkHFHBuLvNR8EREaaXnb0dEiMiJH//8gcTFCQ1aWIaODdoQGKMquvAAVNrbI9lmc2ugNPkflMxAKqk/Hwz6bNzp9n1rlUrMxn83HOmuiAmxnS969l8p+oOvFjasaPosd5PPi4teFe5y36Qb9NGrnoJJWTuzVTNV2ZIXbqYF/Dkk8XbQR91/vmmdnjPHikvT/9tzdbBkF461/tbeQ0aZBow2zNxYtl7XwPVlZ9f2eO1ajknDlRpJMcAKl1envTbb1K/fqaUon596e23pZtvNsnyUf0uK9CVF31cIjEusmOHrE8/kybc6RYzoz75WfJO3GNKJBYvNrUgX39tOkRkZJgd61JTTW3ka69JkZFKyKipfrdE6OXHntOQqBTVnD5dtvvvL7lJzO23V8ve10C51K1r3nCuWVN6rFYt916kAI/BgrwKwII8oGzbt0tnnlncmu3JJ01P47VrS543feI+3fPtpdK6dfYv1KmTsr9cLP/IMmp8ncTKzVXegw/Ld+EnZpeRO+80CXLHjqb7xIYNZor8/POlbt10pHFL9XjzOv3yi0nsa9aUHh5/SNf2SFLEjl/kk5tlzo2IqLyFdPv2Sf/9J334oVm8d/XVJpkIC6uc5wMqw6ZNpg3pseUVvr7mzWm3bubvgB0syAPgNn76qeRuyG3blq5AkKSsXO+ya20DApTvJkslbL6+0qibpJdfNAlto0ZmGvzYjN9mk+67T/v35mljvW665BKb/vzTlBkfOiS9/UlNXTa4mRpe3KzyA05NNbv2vfRS8bGZM82e3C+9VO37bcODtG5tZo5//NEsbG3d2rRxa9SIxBgVwj1+ywCo0rZsKXnf0cZt878KVdLgOxxe5+DIO+QXFlpxgZ2mPw820YGvV8p65x1TOnH55cU7IbZqJX31lVSrlgoaNdF7H/sqPl6aN8/sA7Nhg/Tdd+aNglNs2FAyMT7qs89MggF4ksaNpeuvNy0P77lHat785BaxAmUgOQZQ6WJjS9738bH/e2zzZun30ItV0L1HqbHci3rIu9tFbtPR7fBh6ZHHvdV2aDvN7vyWtlln6MjUZ2Wt/tUknLfcIo0fL/XooXqXnK3JPX/W9u3SDTeYMuW2bU+8AV6FOXJEmjXL8fiMGabkAgBAWQWAytexo2nRlpBg7n/4ockdn3++9LmfrorSBa+9q6xV8ar90SuSzaYDV98svy4dVLOp+2wRm51tNqhLTJTumFxXfn51tfmjP9Skf2e754c/OlaP3vOzdmRFOn+n29xcsyumI+np5hwAADPHACpfdLT0/fdS167m/nvvmTLBqVOLO5YFB5udkx95RKpxRqT8+vfR/jkfav/LH8r38j6q1TzSHZpUFAkOlnr3Lr4fEyMF/bna8QP+/Vfdz07X8OEu+PS3Vi3J0fbWkmkjUtZGJgBQjTBzDMApWrSQvvzSrAvLyjK5WESENGyY+dQ/IMCUGxxdT1OrllSr1gl6mrqQj480YoTp05yRYV5DfnAZXSZsNgXW8pW/K3JQm80svHv6aTPVfayQEGns2BP3jwWAaoKZYwBOU7euWafWoYNZWO7nZ2aVW7TwzIXmMTGmrXGPHtKuXdL+Jp0cJpm5vS7TkZoubJnWuLHZlnrECBOjt7eZTV692uyuBwCQRJ/jCkGfY6B627XLbJJXyy9L7RIWqeYNg0pu7BEdrb0ff6/gDme4foL2yBFp717z99q1TcNlAKgG6HMMAE4SHW0mYj/4IEDv/9VL477ZpPorFyow8V8d6HyJ0lp0UXBMtOsTY8lsUBId7eooAMBtMXNcAZg5BiBJliUlJ5sNT3x8TLu3wEAzQRsS4uroAKB6Y+YYAJzMZmOjOQDwdCzIAwAAAAqRHAMAAACFSI4BAACAQiTHAAAAQCGSYwAAAKAQyTEAAABQiOQYAAAAKERyDAAAABQiOQYAAAAKkRwDAAAAhUiOAQAAgEIkxwAAAEAhkmMAAACgEMkxAAAAUIjkGAAAAChEcgwAAAAU8nF1AHCilBQpLU3y9pbq1pVCQ10dEQAAgFth5rg6yMqSVqyQevaUWraUmjWTrr5a2rzZ1ZEBAAC4FZLj6uDvv6WLL5Y2bCg+tnSpdOGF0n//uS4uAAAAN0NyXNUdPChNmSLl55ce27tX+vJLp4cEAADgrkiOq7qMDOmnnxyP/+9/Una28+IBAABwYyTHVZ2fnxQR4Xi8cWPJh3WZAAAAEslx1RcWJk2c6Hj8lltM9woAAAB4TnK8f/9+DRs2TMHBwQoNDdWoUaN06NChMh+TlZWl22+/XXXr1lXNmjU1aNAgJScnlzjHZrOVur3//vuV+VKcLy5OGjWq5DEvL+mVV6QmTVwTEwAAgBuyWZZluTqI8ujTp48SExP1yiuvKDc3VyNHjtQ555yjBQsWOHzMmDFj9PXXX2vu3LkKCQnR2LFj5eXlpRUrVhSdY7PZ9NZbb6l3795Fx0JDQxUQEFDu2DIyMhQSEqL09HQFBwef2gusbPv3S4mJpqVbYKB03nlSeLhUs6arIwMAAKh05c3XPCI53rRpk9q0aaM1a9aoc+fOkqRFixapb9++2r17t6Kioko9Jj09XWFhYVqwYIGuuuoqSdLmzZvVunVrrVq1Sueee64kkxx/9tlnGjBgwCnH5xHJMQAAQDVW3nzNI8oqVq1apdDQ0KLEWJLi4uLk5eWl1atX233M2rVrlZubq7i4uKJjrVq1UqNGjbRq1aoS595+++2qV6+eunTpojfffFMner+QnZ2tjIyMEjcAAAB4Po9oU5CUlKT69euXOObj46M6deooKSnJ4WP8/PwUetwWyeHh4SUe8+ijj6pHjx4KCgrS4sWLddttt+nQoUO68847HcYzdepUPfLII6f+ggAAAOCWXDpz/MADD9hdEHfsbXMlb3H88MMP6/zzz1fHjh11//3367777tP06dPLfMzEiROVnp5edNu1a1elxggAAADncOnM8YQJEzRixIgyz2natKkiIiKUkpJS4nheXp7279+vCAc9fCMiIpSTk6O0tLQSs8fJyckOHyNJsbGxeuyxx5SdnS1/f3+75/j7+zscAwAAgOdyaXIcFhamsLCwE57XtWtXpaWlae3aterUqZMk6bvvvlNBQYFiY2PtPqZTp07y9fXVsmXLNGjQIEnSli1btHPnTnXt2tXhc8XHx6t27dokvwAAANWQR9Qct27dWr1799bo0aM1Z84c5ebmauzYsbrmmmuKOlXs2bNHPXv21Ntvv60uXbooJCREo0aN0vjx41WnTh0FBwfrjjvuUNeuXYs6VXz55ZdKTk7Wueeeq4CAAC1ZskRPPvmk7rnnHle+XAAAALiIRyTHkjR//nyNHTtWPXv2lJeXlwYNGqTnn3++aDw3N1dbtmxRZmZm0bFnn3226Nzs7Gz16tVLL730UtG4r6+vZs+erbvvvluWZalZs2aaOXOmRo8e7dTXBgAAAPfgEX2O3R19jgEAANxblepzDAAAADgDyTEAAABQiOQYAAAAKERyDAAAABQiOQYAAAAKkRwDAAAAhTymzzFQpezbJ2VkSN7eUr16UlCQqyMCAABi5hhwrpwc6bffpCuukJo2lZo1k267Tdqxw9WRAQAAkRwDzrV5s3TeedLKleZ+bq40b57Uvbu0a5drYwMAACTHgNNkZEj/938mIT7ejh3FCTMAAHAZkmPAWTIypO+/dzz+ySdSQYHz4gEAAKWQHAPO4u0t1anjeLxBA8mLH0kAAFyJ38SAs4SHS3ff7Xh85EjnxQIAAOwiOYbnS02V/vtP2rNHys93dTSOeXlJ11wjXXpp6bFnn5UaN3Z+TAAAoAT6HMNzZWRIa9dK48dL8fGmZGH8eOnGG6XISFdHZ19kpPTOO9L27dI330ghIdJll5njwcGujg4AgGrPZlmW5eogPF1GRoZCQkKUnp6uYBIc5/n6a6lfv9LH+/WT3nrLbK4BAACg8udrlFXAMyUmSnfcYX/sq6+k3budGw8AAKgSSI7hmdLTTWmCI6tXOy8WAABQZZAcwzP5+ZXd9qyslmkAAAAOkBzDM9WrJ/Xvb3/Mz0/q1Mm58QAAgCqB5BieKThYeuYZqUmTkse9vaWPP5aiolwTFwAA8Gi0coPnatJE+vFHaf16adkyc/+yy8xOcwEBro4OAAB4IJJjeLaGDc3t8stdHQkAAKgCSI5RPR08KB06ZGaYa9d2dTQAAMBNUHOM6uXwYbOr3rBh0jnnmA1Dvv1W2r/f1ZEBAAA3QHKM6sOypB9+MEnxl19Ke/ZIK1dKvXtLr7xiEmcAAFCtkRyj+khIkEaPNkny8SZNkpKTnR/Tydi7V9qxQ9q1S8rOdnU0AABUSSTHqD727zcJsj15edLffzs3nvI6fFj6+WepVy/TkaNVK+n++9kiGwCASkByjOqjrB31JLN5iDtav1666CJp3TpzPzNTeu456YorpMRE18YGAEAVQ3KM6qNuXallS/tjgYFS06bOjac8UlOlu+6yXwqyfr20ZYvzYwIAoAojOUb1EREhvfOOSYSPZbNJ8+ZJkZGuiasshw8Xzxjb8+23zosFAIBqgD7HqF46dpT++MMkyT//bGaSx4wxs8b+/q6OrjRvbykoyJRS2BMR4dx4AACo4kiOUb34+EjNmkmTJ0tHjpiE2MeNfwzq15duvlmaNav0mM0m9e3r9JAAAKjKKKtA9eTlJdWo4d6JsWSS9wkTpLPPLnncZjOz31FRrokLAIAqys0zAwBq2FD66iuz+G7xYik83MwYR0WZBB8AAFQYkmPAE0RGmlu3bq6OBACAKo2yCgAAAKAQyTEAAABQiOQYAAAAKERyDAAAABQiOQYAAAAKkRwDAAAAhUiOAQAAgEIkxwAAAEAhkmMAAACgEMkxAAAAUIjtowFXyM2V9u+XvL2levVcHQ0AACjEzDHgbNu3S5MmSRdeKMXFSW+9JSUmujoqAAAgZo4B5/r3X+ncc6XU1OJjN94o9eghzZ8vRUS4LjYAAMDMMeA0WVnS00+XTIyP+u47aeNG58cEAABKIDkGnGXfPumDDxyPv/GGZFnOiwcAAJRCcgw4k08ZlUx+fs6LAwAA2EVyDDhL/frSiBGOx2+6SbLZnBYOAAAojeQYVZZlScnJUkKClJ3t6mgk+fpKY8dKMTGlx665RmrZ0ukhAQCAkuhWgSppzx7p44+lF1+UMjOlAQOk8eOlpk1dPDnbuLH0ww/SokWmO0XNmtJdd0nt20thYS4MDAAASJLNslgBdLoyMjIUEhKi9PR0BQcHuzqcai8hQbrqKmnVqpLHQ0OlNWukZs1cElZpGRmmBjkoyNWRAABQ5ZU3X6OsAlXO77+XTowlKS1NmjpVOnLE6SHZFxxMYgwAgJshOUaVUlAgvf224/FPPzUd1QAAAOwhOUaVYrOVPRnr7y958V0PAAAcIE1AlWKzmY5ojtx0k+moBgAAYI/HJMf79+/XsGHDFBwcrNDQUI0aNUqHDh0q8zGvvvqqunXrpuDgYNlsNqWlpVXIdeHemjeXRo0qfbxlS+nmm8vehwMAAFRvHpMcDxs2TBs3btSSJUv01Vdf6ccff9TNN99c5mMyMzPVu3dvPfjggxV6Xbi3evXMwrsffpAGD5b69JEWLJCWLpUaNXJ1dAAAwJ15RCu3TZs2qU2bNlqzZo06d+4sSVq0aJH69u2r3bt3KyoqqszHL1++XN27d9eBAwcUGhpaYdc9ilZu7is3V8rPlwICXB0JAABwpSrVym3VqlUKDQ0tSmAlKS4uTl5eXlq9erXTr5udna2MjIwSN7gnX18SYwAAUH4ekRwnJSWp/nGrqHx8fFSnTh0lJSU5/bpTp05VSEhI0S06OvqUYwAAAID7cGly/MADD8hms5V527x5sytDtGvixIlKT08vuu3atcvVIQEAAKACuHTd/oQJEzRixIgyz2natKkiIiKUkpJS4nheXp7279+viIiIU37+U72uv7+//P39T/l5AQAA4J5cmhyHhYUpLCzshOd17dpVaWlpWrt2rTp16iRJ+u6771RQUKDY2NhTfv7Kui5QWVJSpH//NTv9BQZKgwZJDRtKdeq4OjIAAKoGj6g5bt26tXr37q3Ro0fr119/1YoVKzR27Fhdc801RR0l9uzZo1atWunXX38telxSUpLi4+O1bds2SdKff/6p+Ph47d+/v9zXBdxFUpLp39y1qzR9uvToo1L79tK0aWyJDQBARfGI5FiS5s+fr1atWqlnz57q27evLrjgAr366qtF47m5udqyZYsyMzOLjs2ZM0cdO3bU6NGjJUkXXXSROnbsqC+++KLc1wXcxf/+J331Venj06dLW7Y4Px4AAKoij+hz7O7oc4zKlpIi9ewpbdhgf3zoUGnuXMnPz6lhAQDgMapUn2OgusvLk+zsfl4kNdWcAwAATg/JMeABateWevd2PH711VJQkPPiAQCgqiI5BjxAYKB0771SjRqlxxo0KDtxBgAA5UdyDHiIM86QVq+W+vWTbDZTXzxihPTjj1KjRq6ODgCAqsGlfY4BlJ+3t9S2rTR/vqk/ttmkevXMrDIAAKgYJMeAhwkONjcAAFDxKKsAAAAACpEcAwAAAIVIjgEAAIBCJMcAAABAIZJjAAAAoBDJMQAAAFCI5BgAAAAoRHIMAAAAFCI5BgAAAAqRHAMAAACFSI4BAACAQiTHAAAAQCGSYwAAAKAQyTEAAABQiOQYAAAAKERyDAAAABQiOQYAAAAKkRwDAAAAhUiOAQAAgEIkxwAAAEAhkmMAAACgEMkxAAAAUIjkGAAAAChEcgwAAAAUIjkGAAAACpEcAwAAAIVIjgEAAIBCJMcAAABAIZJjAAAAoBDJMQAAAFCI5BgAAAAoRHIMAAAAFCI5BgAAAAqRHAMAAACFSI4BAACAQiTHAAAAQCGSYwAAAKAQyTEAAABQiOQYAAAAKERyDAAAABQiOQYAAAAKkRwDAAAAhUiOAQAAgEIkxwAAAEAhkmMAAACgEMkxAAAAUMjH1QEAAAAXyMqSkpOl3FypZk0pIsLVEQFugZljAACqm927pbvvllq1kpo3ly64QPrySyk93dWRAS5HcgwAQHWSlCQNGiTNmWNmjyXpn3+kK66QfvjBtbEBboDkGACA6mT7dunXX+2P3X23lJjo3HgAN0NyDABAdbJypeOxf/+VDh92XiyAGyI5BgCgOomMdDzm7y/5+jovFsANkRwDAFCddO0q+fnZH7vhBql+fefGA7gZkmMAAKqTBg2kL74onSCffbb08MNSYKBr4gLcBH2OAQCoTvz8pO7dpc2bTf3xnj3S+edLZ5xBr2NAHjRzvH//fg0bNkzBwcEKDQ3VqFGjdOjQoTIf8+qrr6pbt24KDg6WzWZTWlpaqXNiYmJks9lK3KZNm1ZJrwIAADfg5yc1aSINGybdd59JjkmMAUkelBwPGzZMGzdu1JIlS/TVV1/pxx9/1M0331zmYzIzM9W7d289+OCDZZ736KOPKjExseh2xx13VGToAAAA8BAeUVaxadMmLVq0SGvWrFHnzp0lSS+88IL69u2rGTNmKCoqyu7jxo0bJ0lavnx5mdevVauWInjHDAAAUO15xMzxqlWrFBoaWpQYS1JcXJy8vLy0evXq077+tGnTVLduXXXs2FHTp09XXl5emednZ2crIyOjxA0AAACezyNmjpOSklT/uNYyPj4+qlOnjpKSkk7r2nfeeafOPvts1alTRytXrtTEiROVmJiomTNnOnzM1KlT9cgjj5zW8wIAAMD9uHTm+IEHHii1GO742+bNmys1hvHjx6tbt25q166dbr31Vj3zzDN64YUXlJ2d7fAxEydOVHp6etFt165dlRojAAAAnMOlM8cTJkzQiBEjyjynadOmioiIUEpKSonjeXl52r9/f4XXCsfGxiovL087duxQy5Yt7Z7j7+8vf3//Cn1eAAAAuJ5Lk+OwsDCFhYWd8LyuXbsqLS1Na9euVadOnSRJ3333nQoKChQbG1uhMcXHx8vLy6tUGQcAAACqPo+oOW7durV69+6t0aNHa86cOcrNzdXYsWN1zTXXFHWq2LNnj3r27Km3335bXbp0kWRqlZOSkrRt2zZJ0p9//qlatWqpUaNGqlOnjlatWqXVq1ere/fuqlWrllatWqW7775b1113nWrXru2y1wsAAADX8IhuFZI0f/58tWrVSj179lTfvn11wQUX6NVXXy0az83N1ZYtW5SZmVl0bM6cOerYsaNGjx4tSbrooovUsWNHffHFF5JMecT777+viy++WG3bttUTTzyhu+++u8R1AQAAUH3YLMuyXB2Ep8vIyFBISIjS09MVHBzs6nAAAABwnPLmax4zcwwAAABUNpJjAAAAoBDJMQAAAFCI5BgAAAAoRHIMAAAAFPKIPsfu7mjDj4yMDBdHAgAAAHuO5mknatRGclwBDh48KEmKjo52cSQAAAAoy8GDBxUSEuJwnD7HFaCgoEAJCQmqVauWbDabq8Mpl4yMDEVHR2vXrl30ZvYAfL08B18rz8LXy3PwtfIs7vj1sixLBw8eVFRUlLy8HFcWM3NcAby8vNSwYUNXh3FKgoOD3eabFifG18tz8LXyLHy9PAdfK8/ibl+vsmaMj2JBHgAAAFCI5BgAAAAoRHJcTfn7+2vy5Mny9/d3dSgoB75enoOvlWfh6+U5+Fp5Fk/+erEgDwAAACjEzDEAAABQiOQYAAAAKERyDAAAABQiOQYAAAAKkRxXQ0888YTOO+88BQUFKTQ01O45O3fu1GWXXaagoCDVr19f9957r/Ly8pwbKOyKiYmRzWYrcZs2bZqrw0Kh2bNnKyYmRgEBAYqNjdWvv/7q6pBwnClTppT6GWrVqpWrw0KhH3/8UZdffrmioqJks9m0cOHCEuOWZWnSpEmKjIxUYGCg4uLitHXrVtcEixN+vUaMGFHq5613796uCbacSI6roZycHF199dUaM2aM3fH8/HxddtllysnJ0cqVKzVv3jzNnTtXkyZNcnKkcOTRRx9VYmJi0e2OO+5wdUiQ9MEHH2j8+PGaPHmy1q1bp/bt26tXr15KSUlxdWg4Ttu2bUv8DP3888+uDgmFDh8+rPbt22v27Nl2x59++mk9//zzmjNnjlavXq0aNWqoV69eysrKcnKkkE789ZKk3r17l/h5e++995wY4SmwUG299dZbVkhISKnj33zzjeXl5WUlJSUVHXv55Zet4OBgKzs724kRwp7GjRtbzz77rKvDgB1dunSxbr/99qL7+fn5VlRUlDV16lQXRoXjTZ482Wrfvr2rw0A5SLI+++yzovsFBQVWRESENX369KJjaWlplr+/v/Xee++5IEIc6/ivl2VZ1vDhw63+/fu7JJ5TxcwxSlm1apXOOusshYeHFx3r1auXMjIytHHjRhdGhqOmTZumunXrqmPHjpo+fTolL24gJydHa9euVVxcXNExLy8vxcXFadWqVS6MDPZs3bpVUVFRatq0qYYNG6adO3e6OiSUw/bt25WUlFTi5ywkJESxsbH8nLmx5cuXq379+mrZsqXGjBmjffv2uTqkMvm4OgC4n6SkpBKJsaSi+0lJSa4ICce48847dfbZZ6tOnTpauXKlJk6cqMTERM2cOdPVoVVre/fuVX5+vt2fnc2bN7soKtgTGxuruXPnqmXLlkpMTNQjjzyiCy+8UBs2bFCtWrVcHR7KcPR3kL2fM34/uafevXtr4MCBatKkif755x89+OCD6tOnj1atWiVvb29Xh2cXyXEV8cADD+ipp54q85xNmzax6MRNnczXb/z48UXH2rVrJz8/P91yyy2aOnWqR27TCThbnz59iv7erl07xcbGqnHjxvrwww81atQoF0YGVD3XXHNN0d/POusstWvXTmeccYaWL1+unj17ujAyx0iOq4gJEyZoxIgRZZ7TtGnTcl0rIiKi1Ar75OTkojFUvNP5+sXGxiovL087duxQy5YtKyE6lEe9evXk7e1d9LNyVHJyMj83bi40NFQtWrTQtm3bXB0KTuDoz1JycrIiIyOLjicnJ6tDhw4uigono2nTpqpXr562bdtGcozKFRYWprCwsAq5VteuXfXEE08oJSVF9evXlyQtWbJEwcHBatOmTYU8B0o6na9ffHy8vLy8ir5WcA0/Pz916tRJy5Yt04ABAyRJBQUFWrZsmcaOHeva4FCmQ4cO6Z9//tH111/v6lBwAk2aNFFERISWLVtWlAxnZGRo9erVDjswwb3s3r1b+/btK/Hmxt2QHFdDO3fu1P79+7Vz507l5+crPj5ektSsWTPVrFlTl156qdq0aaPrr79eTz/9tJKSkvTQQw/p9ttv52N7F1u1apVWr16t7t27q1atWlq1apXuvvtuXXfddapdu7arw6v2xo8fr+HDh6tz587q0qWLZs2apcOHD2vkyJGuDg3HuOeee3T55ZercePGSkhI0OTJk+Xt7a2hQ4e6OjTIvFk5dhZ/+/btio+PV506ddSoUSONGzdOjz/+uJo3b64mTZro4YcfVlRUVNGbUjhXWV+vOnXq6JFHHtGgQYMUERGhf/75R/fdd5+aNWumXr16uTDqE3B1uww43/Dhwy1JpW7ff/990Tk7duyw+vTpYwUGBlr16tWzJkyYYOXm5rouaFiWZVlr1661YmNjrZCQECsgIMBq3bq19eSTT1pZWVmuDg2FXnjhBatRo0aWn5+f1aVLF+uXX35xdUg4zpAhQ6zIyEjLz8/PatCggTVkyBBr27Ztrg4Lhb7//nu7v6OGDx9uWZZp5/bwww9b4eHhlr+/v9WzZ09ry5Ytrg26Givr65WZmWldeumlVlhYmOXr62s1btzYGj16dIlWse7IZlmW5YKcHAAAAHA79DkGAAAACpEcAwAAAIVIjgEAAIBCJMcAAABAIZJjAAAAoBDJMQAAAFCI5BgAAAAoRHIMAAAAFCI5BgAAAAqRHANANTFixAjZbDbZbDb5+fmpWbNmevTRR5WXlydJsixLr776qmJjY1WzZk2Fhoaqc+fOmjVrljIzMyVJGzdu1KBBgxQTEyObzaZZs2a58BUBQMUjOQaAaqR3795KTEzU1q1bNWHCBE2ZMkXTp0+XJF1//fUaN26c+vfvr++//17x8fF6+OGH9fnnn2vx4sWSpMzMTDVt2lTTpk1TRESEK18KAFQKm2VZlquDAABUvhEjRigtLU0LFy4sOnbppZfq4MGDuvvuuzVkyBAtXLhQ/fv3L/E4y7KUkZGhkJCQEsdjYmI0btw4jRs3zgnRA4BzMHMMANVYYGCgcnJyNH/+fLVs2bJUYixJNputVGIMAFUVyTEAVEOWZWnp0qX69ttv1aNHD23dulUtW7Z0dVgA4HIkxwBQjXz11VeqWbOmAgIC1KdPHw0ZMkRTpkwRFXYAYPi4OgAAgPN0795dL7/8svz8/BQVFSUfH/NroEWLFtq8ebOLowMA12PmGACqkRo1aqhZs2Zq1KhRUWIsSddee63+/vtvff7556UeY1mW0tPTnRkmALgMyTEAQIMHD9aQIUM0dOhQPfnkk/rtt9/033//6auvvlJcXJy+//57SVJOTo7i4+MVHx+vnJwc7dmzR/Hx8dq2bZuLXwEAVAxauQFANWGvlduxCgoK9Oqrr+rNN9/Uxo0b5ePjo+bNm+uGG27Q6NGjFRgYqB07dqhJkyalHnvxxRdr+fLllfsCAMAJSI4BAACAQpRVAAAAAIVIjgEAAIBCJMcAAABAIZJjAAAAoBDJMQAAAFCI5BgAAAAoRHIMAAAAFCI5BgAAAAqRHAMAAACFSI4BAACAQiTHAAAAQKH/B8Ok3WW2WPkRAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Reload the data\n",
    "data = pd.read_csv('excel/results_with_env.csv')\n",
    "\n",
    "# Preprocess the 'group1' column\n",
    "data['group1'] = data['group1'].apply(lambda x: 1 if x in ['gut', 'feces'] else 0)\n",
    "\n",
    "# Show the first few rows\n",
    "data.head()\n",
    "# Split the data into features and target\n",
    "X = data.drop(columns=['sample', 'group2', 'group1'])\n",
    "y = data['group1']\n",
    "\n",
    "# Split the data into training set and test set\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# Train a Random Forest classifier\n",
    "clf = RandomForestClassifier(n_estimators=100, random_state=42)\n",
    "clf.fit(X_train, y_train)\n",
    "\n",
    "# Make predictions on the test set\n",
    "y_pred = clf.predict(X_test)\n",
    "\n",
    "# Compute accuracy\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "\n",
    "# Compute confusion matrix\n",
    "cm = confusion_matrix(y_test, y_pred)\n",
    "\n",
    "# Compute classification report\n",
    "report = classification_report(y_test, y_pred)\n",
    "\n",
    "# Plot the confusion matrix\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues', cbar=False)\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('True')\n",
    "plt.title('Confusion Matrix')\n",
    "plt.show()\n",
    "\n",
    "accuracy, report\n",
    "# Perform PCA\n",
    "pca = PCA(n_components=2)\n",
    "X_pca = pca.fit_transform(X)\n",
    "\n",
    "# Plot the first two principal components\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.scatterplot(x=X_pca[:, 0], y=X_pca[:, 1], hue=y, palette=['red', 'blue'])\n",
    "plt.xlabel('PC1')\n",
    "plt.ylabel('PC2')\n",
    "plt.title('PCA Plot')\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The machine to divide the environment and host Ver.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'feces': {'precision': 1.0,\n",
       "  'recall': 0.8,\n",
       "  'f1-score': 0.888888888888889,\n",
       "  'support': 5},\n",
       " 'gut': {'precision': 0.7142857142857143,\n",
       "  'recall': 0.5555555555555556,\n",
       "  'f1-score': 0.6250000000000001,\n",
       "  'support': 9},\n",
       " 'host': {'precision': 0.8,\n",
       "  'recall': 0.96,\n",
       "  'f1-score': 0.8727272727272728,\n",
       "  'support': 25},\n",
       " 'non': {'precision': 1.0,\n",
       "  'recall': 0.4,\n",
       "  'f1-score': 0.5714285714285715,\n",
       "  'support': 5},\n",
       " 'other': {'precision': 0.8888888888888888,\n",
       "  'recall': 1.0,\n",
       "  'f1-score': 0.9411764705882353,\n",
       "  'support': 8},\n",
       " 'accuracy': 0.8269230769230769,\n",
       " 'macro avg': {'precision': 0.8806349206349207,\n",
       "  'recall': 0.7431111111111111,\n",
       "  'f1-score': 0.7798442407265938,\n",
       "  'support': 52},\n",
       " 'weighted avg': {'precision': 0.8373015873015874,\n",
       "  'recall': 0.8269230769230769,\n",
       "  'f1-score': 0.8129650170091348,\n",
       "  'support': 52}}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Load the data\n",
    "data = pd.read_csv('excel/results_with_env.csv')\n",
    "\n",
    "# Display the first few rows of the data\n",
    "data.head()\n",
    "# Check the unique categories and their counts in the 'group1' column\n",
    "data['group1'].value_counts()\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.utils import resample\n",
    "\n",
    "# Combine the categories of interest into one category and the rest into another\n",
    "data['group1'] = data['group1'].apply(lambda x: x if x in ['host', 'gut', 'feces', 'non'] else 'other')\n",
    "\n",
    "# Separate the features (X) and the target variable (y)\n",
    "X = data.drop(columns=['sample', 'group1', 'group2'])\n",
    "y = data['group1']\n",
    "\n",
    "# Split the data into train and test sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)\n",
    "\n",
    "# Instantiate the classifier\n",
    "clf = RandomForestClassifier(random_state=42)\n",
    "\n",
    "# Fit the classifier to the training data\n",
    "clf.fit(X_train, y_train)\n",
    "\n",
    "# Make predictions on the test data\n",
    "y_pred = clf.predict(X_test)\n",
    "\n",
    "# Print the classification report\n",
    "classification_report(y_test, y_pred, output_dict=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8424094432699084"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import roc_auc_score\n",
    "from sklearn.preprocessing import LabelBinarizer\n",
    "\n",
    "# Binarize the labels\n",
    "lb = LabelBinarizer()\n",
    "lb.fit(y_test)\n",
    "y_test_bin = lb.transform(y_test)\n",
    "y_pred_bin = lb.transform(y_pred)\n",
    "\n",
    "# Compute the ROC AUC score for each class\n",
    "roc_auc_score(y_test_bin, y_pred_bin, average='macro')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from itertools import cycle\n",
    "from sklearn.metrics import roc_curve, auc\n",
    "from sklearn.preprocessing import label_binarize\n",
    "from sklearn.multiclass import OneVsRestClassifier\n",
    "\n",
    "# Binarize the output\n",
    "y = label_binarize(data['group1'], classes=['feces', 'gut', 'host', 'non', 'other'])\n",
    "n_classes = y.shape[1]\n",
    "\n",
    "# Split the data into train and test sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)\n",
    "\n",
    "# Learn to predict each class against the other\n",
    "classifier = OneVsRestClassifier(RandomForestClassifier(random_state=42))\n",
    "y_score = classifier.fit(X_train, y_train).predict_proba(X_test)\n",
    "\n",
    "# Compute ROC curve and ROC area for each class\n",
    "fpr = dict()\n",
    "tpr = dict()\n",
    "roc_auc = dict()\n",
    "for i in range(n_classes):\n",
    "    fpr[i], tpr[i], _ = roc_curve(y_test[:, i], y_score[:, i])\n",
    "    roc_auc[i] = auc(fpr[i], tpr[i])\n",
    "\n",
    "# Plot all ROC curves\n",
    "plt.figure(figsize=(10, 8))\n",
    "\n",
    "colors = cycle(['aqua', 'darkorange', 'cornflowerblue', 'green', 'red'])\n",
    "for i, color in zip(range(n_classes), colors):\n",
    "    plt.plot(fpr[i], tpr[i], color=color, lw=2,\n",
    "             label='ROC curve of class {0} (area = {1:0.2f})'\n",
    "             ''.format(['feces', 'gut', 'host', 'non', 'other'][i], roc_auc[i]))\n",
    "\n",
    "plt.plot([0, 1], [0, 1], 'k--', lw=2)\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1.05])\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.title('Receiver Operating Characteristic to Multi-Class')\n",
    "plt.legend(loc=\"lower right\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import classification_report\n",
    "\n",
    "# Filter the data to keep only 'gut' and 'feces' samples\n",
    "data_filtered = data[data['group1'].isin(['gut', 'feces'])]\n",
    "\n",
    "# Separate the features (X) and the target variable (y)\n",
    "X = data_filtered.drop(columns=['sample', 'group1', 'group2'])\n",
    "y = data_filtered['group1']\n",
    "\n",
    "# Remove the 'GC' column from the features\n",
    "X = X.drop(columns=['GC'])\n",
    "\n",
    "# Split the data into train and test sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# Fit the classifier to the training data\n",
    "clf.fit(X_train, y_train)\n",
    "\n",
    "# Make predictions on the test data\n",
    "y_pred = clf.predict(X_test)\n",
    "\n",
    "# Print the classification report\n",
    "classification_report(y_test, y_pred, output_dict=True)\n",
    "\n",
    "# Calculate the mean for each metabolic pathway for 'gut' and 'feces' samples\n",
    "means_gut = data_filtered[data_filtered['group1'] == 'gut'].drop(columns=['sample', 'group1', 'group2', 'GC']).mean()\n",
    "means_feces = data_filtered[data_filtered['group1'] == 'feces'].drop(columns=['sample', 'group1', 'group2', 'GC']).mean()\n",
    "\n",
    "# Combine the means into a DataFrame for easier manipulation\n",
    "df_means = pd.DataFrame({'gut': means_gut, 'feces': means_feces})\n",
    "\n",
    "# Sort the DataFrame by the sum of the means\n",
    "df_means = df_means.assign(mean_sum = df_means.sum(axis=1))\n",
    "df_means = df_means.sort_values(by='mean_sum', ascending=False)\n",
    "\n",
    "# Keep only the top 20 metabolic pathways\n",
    "df_means = df_means.head(20)\n",
    "\n",
    "# Plot the means\n",
    "plt.figure(figsize=(10, 10))\n",
    "plt.barh(df_means.index, df_means['gut'], alpha=0.6, color='blue', label='gut')\n",
    "plt.barh(df_means.index, -df_means['feces'], alpha=0.6, color='red', label='feces')\n",
    "plt.legend()\n",
    "plt.xlabel('Mean value')\n",
    "plt.title('Mean values of each metabolic pathway for \"gut\" and \"feces\" samples')\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.manifold import TSNE\n",
    "\n",
    "import pandas as pd\n",
    "from sklearn.decomposition import PCA\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.metrics import roc_curve, auc\n",
    "\n",
    "# Compute the ROC curve and ROC area\n",
    "y_test_bin = LabelBinarizer().fit_transform(y_test)  # Binarize the labels\n",
    "y_score = clf.predict_proba(X_test)\n",
    "fpr, tpr, _ = roc_curve(y_test_bin, y_score[:, 1])\n",
    "roc_auc = auc(fpr, tpr)\n",
    "\n",
    "# Plot the ROC curve\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.plot(fpr, tpr, color='darkorange',\n",
    "         label='ROC curve (area = %0.2f)' % roc_auc)\n",
    "plt.plot([0, 1], [0, 1], color='navy', linestyle='--')\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1.05])\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.title('Receiver Operating Characteristic')\n",
    "plt.legend(loc=\"lower right\")\n",
    "plt.show()\n",
    "\n",
    "# Re-load the data\n",
    "data = pd.read_csv('excel/results_with_env.csv')  # replace 'YOUR_FILE_PATH' with the actual path to your file\n",
    "\n",
    "# Filter the data to keep only 'gut' and 'feces' samples\n",
    "data_filtered = data[data['group1'].isin(['gut', 'feces'])]\n",
    "\n",
    "# Separate the features (X) and the target variable (y)\n",
    "X = data_filtered.drop(columns=['sample', 'group1', 'group2', 'GC'])\n",
    "y = data_filtered['group1']\n",
    "\n",
    "# Convert all non-numeric values in X to NaN and fill them with 0\n",
    "X = X.apply(pd.to_numeric, errors='coerce').fillna(0)\n",
    "\n",
    "# Perform PCA\n",
    "pca = PCA(n_components=2)\n",
    "X_pca = pca.fit_transform(X)\n",
    "\n",
    "# Plot the PCA results\n",
    "plt.figure(figsize=(10, 8))\n",
    "for color, i, target_name in zip(['navy', 'turquoise'], ['feces', 'gut'], ['feces', 'gut']):\n",
    "    plt.scatter(X_pca[y == i, 0], X_pca[y == i, 1], color=color, alpha=0.6, lw=2, label=target_name)\n",
    "plt.legend(loc='best', shadow=False, scatterpoints=1)\n",
    "plt.title('PCA of Metabolic Pathway dataset')\n",
    "plt.show()\n",
    "\n",
    "# Perform t-SNE\n",
    "tsne = TSNE(n_components=2, random_state=42)\n",
    "X_tsne = tsne.fit_transform(X)\n",
    "\n",
    "# Plot the t-SNE results\n",
    "plt.figure(figsize=(10, 8))\n",
    "for color, i, target_name in zip(['navy', 'turquoise'], ['feces', 'gut'], ['feces', 'gut']):\n",
    "    plt.scatter(X_tsne[y == i, 0], X_tsne[y == i, 1], color=color, alpha=0.6, lw=2, label=target_name)\n",
    "plt.legend(loc='best', shadow=False, scatterpoints=1)\n",
    "plt.title('t-SNE of Metabolic Pathway dataset')\n",
    "plt.show()\n"
   ]
  }
 ],
 "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": "3.11.0"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}