ML Classifiers Comparison.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 55,
      "metadata": {
        "id": "NaGYmJEECCre"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from scipy import stats\n",
        "\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "from sklearn.impute import SimpleImputer"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 56,
      "metadata": {
        "id": "dvwp1Hb7CCrh"
      },
      "outputs": [],
      "source": [
        "data = pd.read_csv('date_tema_1_iaut_2024.csv')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 57,
      "metadata": {
        "id": "qLrO2uJ9CCrh"
      },
      "outputs": [],
      "source": [
        "preprocessed_data = data.copy()\n",
        "\n",
        "numeric_features = ['Regular_fiber_diet', 'Sedentary_hours_daily', 'Age', 'Est_avg_calorie_intake', 'Main_meals_daily', 'Height', 'Water_daily', 'Weight', 'Physical_activity_level', 'Technology_time_use']\n",
        "string_features = ['Transportation', 'Alcohol', 'Snacks', 'Gender']\n",
        "bool_feature = ['Diagnostic_in_family_history', 'High_calorie_diet', 'Smoker', 'Calorie_monitoring']\n",
        "class_feature = ['Diagnostic']\n",
        "\n",
        "for feature in numeric_features:\n",
        "    if preprocessed_data[feature].dtype == type(object):\n",
        "        preprocessed_data[feature] = preprocessed_data[feature].str.replace(',', '.').astype(float)\n",
        "\n",
        "for feature in string_features + bool_feature + class_feature:\n",
        "        le = LabelEncoder()\n",
        "        preprocessed_data[feature] = le.fit_transform(data[feature])\n",
        "\n",
        "for feature in numeric_features:\n",
        "    q1 = preprocessed_data[feature].quantile(0.25)\n",
        "    q3 = preprocessed_data[feature].quantile(0.75)\n",
        "    iqr = q3 - q1\n",
        "    lower_bound = q1 - 1.5 * iqr\n",
        "    upper_bound = q3 + 1.5 * iqr\n",
        "    preprocessed_data = preprocessed_data[(preprocessed_data[feature] > lower_bound) & (preprocessed_data[feature] < upper_bound)]\n",
        "\n",
        "imputer = SimpleImputer(strategy='mean', missing_values=-1)\n",
        "preprocessed_data['Weight'] = imputer.fit_transform(preprocessed_data[['Weight']])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "w8UGfr_iCCri"
      },
      "source": [
        "## 3.1 Explorarea datelor"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 58,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "2Kn8IwMmCCrj",
        "outputId": "51a81171-d6a6-49d2-cf3a-4273034daec8"
      },
      "outputs": [
        {
          "data": {
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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "for feature in class_feature:\n",
        "    plt.figure()\n",
        "    sns.countplot(x='Diagnostic', data=data, order=data['Diagnostic'].unique())\n",
        "    plt.title(f'Distribution of {feature}')\n",
        "    plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 59,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "QkWQUDTzCCrk",
        "outputId": "7d96c29e-eada-4b95-9d8a-4e6ab1f39e71"
      },
      "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>Regular_fiber_diet</th>\n",
              "      <th>Sedentary_hours_daily</th>\n",
              "      <th>Age</th>\n",
              "      <th>Est_avg_calorie_intake</th>\n",
              "      <th>Main_meals_daily</th>\n",
              "      <th>Height</th>\n",
              "      <th>Water_daily</th>\n",
              "      <th>Weight</th>\n",
              "      <th>Physical_activity_level</th>\n",
              "      <th>Technology_time_use</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>1260.000000</td>\n",
              "      <td>1260.000000</td>\n",
              "      <td>1260.000000</td>\n",
              "      <td>1260.000000</td>\n",
              "      <td>1260.000000</td>\n",
              "      <td>1260.000000</td>\n",
              "      <td>1260.000000</td>\n",
              "      <td>1260.000000</td>\n",
              "      <td>1260.000000</td>\n",
              "      <td>1260.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>2.457411</td>\n",
              "      <td>3.232889</td>\n",
              "      <td>23.146854</td>\n",
              "      <td>2255.551587</td>\n",
              "      <td>2.968345</td>\n",
              "      <td>1.715198</td>\n",
              "      <td>2.055486</td>\n",
              "      <td>92.245200</td>\n",
              "      <td>1.041277</td>\n",
              "      <td>0.717460</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.550190</td>\n",
              "      <td>0.562610</td>\n",
              "      <td>4.158762</td>\n",
              "      <td>434.169456</td>\n",
              "      <td>0.149404</td>\n",
              "      <td>0.086743</td>\n",
              "      <td>0.602287</td>\n",
              "      <td>25.949752</td>\n",
              "      <td>0.859349</td>\n",
              "      <td>0.655772</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.210000</td>\n",
              "      <td>15.000000</td>\n",
              "      <td>1500.000000</td>\n",
              "      <td>2.217651</td>\n",
              "      <td>1.460000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>39.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.847500</td>\n",
              "      <td>19.922719</td>\n",
              "      <td>1868.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.650000</td>\n",
              "      <td>1.706230</td>\n",
              "      <td>74.750000</td>\n",
              "      <td>0.139646</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>2.561869</td>\n",
              "      <td>3.180000</td>\n",
              "      <td>22.774751</td>\n",
              "      <td>2258.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.720000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>92.245200</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.650000</td>\n",
              "      <td>25.988985</td>\n",
              "      <td>2634.250000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.780000</td>\n",
              "      <td>2.552590</td>\n",
              "      <td>111.927926</td>\n",
              "      <td>1.665139</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>3.000000</td>\n",
              "      <td>4.660000</td>\n",
              "      <td>35.000000</td>\n",
              "      <td>2998.000000</td>\n",
              "      <td>3.471536</td>\n",
              "      <td>1.940000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>165.057269</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>2.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       Regular_fiber_diet  Sedentary_hours_daily          Age  \\\n",
              "count         1260.000000            1260.000000  1260.000000   \n",
              "mean             2.457411               3.232889    23.146854   \n",
              "std              0.550190               0.562610     4.158762   \n",
              "min              1.000000               2.210000    15.000000   \n",
              "25%              2.000000               2.847500    19.922719   \n",
              "50%              2.561869               3.180000    22.774751   \n",
              "75%              3.000000               3.650000    25.988985   \n",
              "max              3.000000               4.660000    35.000000   \n",
              "\n",
              "       Est_avg_calorie_intake  Main_meals_daily       Height  Water_daily  \\\n",
              "count             1260.000000       1260.000000  1260.000000  1260.000000   \n",
              "mean              2255.551587          2.968345     1.715198     2.055486   \n",
              "std                434.169456          0.149404     0.086743     0.602287   \n",
              "min               1500.000000          2.217651     1.460000     1.000000   \n",
              "25%               1868.000000          3.000000     1.650000     1.706230   \n",
              "50%               2258.000000          3.000000     1.720000     2.000000   \n",
              "75%               2634.250000          3.000000     1.780000     2.552590   \n",
              "max               2998.000000          3.471536     1.940000     3.000000   \n",
              "\n",
              "            Weight  Physical_activity_level  Technology_time_use  \n",
              "count  1260.000000              1260.000000          1260.000000  \n",
              "mean     92.245200                 1.041277             0.717460  \n",
              "std      25.949752                 0.859349             0.655772  \n",
              "min      39.000000                 0.000000             0.000000  \n",
              "25%      74.750000                 0.139646             0.000000  \n",
              "50%      92.245200                 1.000000             1.000000  \n",
              "75%     111.927926                 1.665139             1.000000  \n",
              "max     165.057269                 3.000000             2.000000  "
            ]
          },
          "execution_count": 59,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "preprocessed_data[numeric_features].describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 60,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "lpgl0P1XCCrl",
        "outputId": "f673c72a-6ade-4ea7-c77e-4450cb6f687b"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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bcnKyduzYocGDB2vHjh1asGCBDh48qMcee8yhX7t27bR3715FR0dr6dKl2rBhg7p162ZvT0pKUtOmTVW6dGnFxsZq9OjRGjZsmD766KNbfnwAACBvcHfmzps3b67mzZtfsc3Pz0/R0dEOyyZPnqw6dero6NGjKlWqlPbv368VK1Zo27Ztql27tiRp0qRJatGihcaMGaOgoCDNnTtX6enp+uSTT+Tp6akqVapo586dGjdunENwAgAA1pWn5hCdOXNGNptNhQsXliTFxMSocOHC9jAkSWFhYXJzc9OWLVvsferXry9PT097n/DwcB08eFCnTp264n7S0tKUlJTk8AIAALevPBOIUlNT9eqrr+rZZ5+Vr6+vJCkuLk7FihVz6Ofu7i5/f3/FxcXZ+wQEBDj0yX6f3eefRo4cKT8/P/urZMmSOX04AADAheSJQJSRkaGnn35axhh98MEHt3x/gwYN0pkzZ+yvY8eO3fJ9AgAA53HqHKLrkR2Gfv/9d61Zs8Y+OiRJgYGBSkhIcOh/4cIFJSYmKjAw0N4nPj7eoU/2++w+/+Tl5SUvL6+cPAwAAODCXHqEKDsMHTp0SKtWrdIdd9zh0B4SEqLTp08rNjbWvmzNmjXKyspS3bp17X02bNigjIwMe5/o6GhVqFBBRYoUyZ0DAQAALs2pgejcuXPauXOndu7cKUk6cuSIdu7cqaNHjyojI0NPPvmktm/frrlz5yozM1NxcXGKi4tTenq6JKlSpUpq1qyZunbtqq1bt2rjxo2KjIxU27ZtFRQUJEl67rnn5Onpqc6dO2vv3r2aP3++JkyYoH79+jnrsAEAgItx6imz7du3q1GjRvb32SGlQ4cOGjZsmJYsWSJJql69usN6a9euVcOGDSVJc+fOVWRkpJo0aSI3Nze1adNGEydOtPf18/PTypUrFRERoVq1aqlo0aIaMmQIl9wDAAA7pwaihg0byhhz1fZrtWXz9/fXvHnzrtmnWrVq+v7772+4PgAAYA0uPYcIAAAgNxCIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5Tk1EG3YsEGPPvqogoKCZLPZtGjRIod2Y4yGDBmi4sWLK3/+/AoLC9OhQ4cc+iQmJqpdu3by9fVV4cKF1blzZ507d86hz65du/TQQw/J29tbJUuW1KhRo271oQEAgDzEqYHo/Pnzuu+++zRlypQrto8aNUoTJ07U1KlTtWXLFhUoUEDh4eFKTU2192nXrp327t2r6OhoLV26VBs2bFC3bt3s7UlJSWratKlKly6t2NhYjR49WsOGDdNHH310y48PAADkDe7O3Hnz5s3VvHnzK7YZYzR+/Hi98cYbevzxxyVJs2fPVkBAgBYtWqS2bdtq//79WrFihbZt26batWtLkiZNmqQWLVpozJgxCgoK0ty5c5Wenq5PPvlEnp6eqlKlinbu3Klx48Y5BCcAAGBdLjuH6MiRI4qLi1NYWJh9mZ+fn+rWrauYmBhJUkxMjAoXLmwPQ5IUFhYmNzc3bdmyxd6nfv368vT0tPcJDw/XwYMHderUqSvuOy0tTUlJSQ4vAABw+3LZQBQXFydJCggIcFgeEBBgb4uLi1OxYsUc2t3d3eXv7+/Q50rbuHQf/zRy5Ej5+fnZXyVLlvzvBwQAAFyWywYiZxo0aJDOnDljfx07dszZJQEAgFvIZQNRYGCgJCk+Pt5heXx8vL0tMDBQCQkJDu0XLlxQYmKiQ58rbePSffyTl5eXfH19HV4AAOD25bKBqGzZsgoMDNTq1avty5KSkrRlyxaFhIRIkkJCQnT69GnFxsba+6xZs0ZZWVmqW7euvc+GDRuUkZFh7xMdHa0KFSqoSJEiuXQ0AADAlTk1EJ07d047d+7Uzp07JV2cSL1z504dPXpUNptNffr00VtvvaUlS5Zo9+7deuGFFxQUFKRWrVpJkipVqqRmzZqpa9eu2rp1qzZu3KjIyEi1bdtWQUFBkqTnnntOnp6e6ty5s/bu3av58+drwoQJ6tevn5OOGgAAuBqnXna/fft2NWrUyP4+O6R06NBBM2fO1IABA3T+/Hl169ZNp0+fVr169bRixQp5e3vb15k7d64iIyPVpEkTubm5qU2bNpo4caK93c/PTytXrlRERIRq1aqlokWLasiQIVxyDwAA7JwaiBo2bChjzFXbbTaboqKiFBUVddU+/v7+mjdv3jX3U61aNX3//fc3XScAALi9uewcIgAAgNxCIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJbn0oEoMzNTgwcPVtmyZZU/f36VK1dOb775powx9j7GGA0ZMkTFixdX/vz5FRYWpkOHDjlsJzExUe3atZOvr68KFy6szp0769y5c7l9OAAAwEW5dCB699139cEHH2jy5Mnav3+/3n33XY0aNUqTJk2y9xk1apQmTpyoqVOnasuWLSpQoIDCw8OVmppq79OuXTvt3btX0dHRWrp0qTZs2KBu3bo545AAAIALcnd2AdeyadMmPf7442rZsqUkqUyZMvrss8+0detWSRdHh8aPH6833nhDjz/+uCRp9uzZCggI0KJFi9S2bVvt379fK1as0LZt21S7dm1J0qRJk9SiRQuNGTNGQUFBzjk4AADgMlx6hOjBBx/U6tWr9fPPP0uSfvrpJ/3www9q3ry5JOnIkSOKi4tTWFiYfR0/Pz/VrVtXMTExkqSYmBgVLlzYHoYkKSwsTG5ubtqyZcsV95uWlqakpCSHFwAAuH259AjRwIEDlZSUpIoVKypfvnzKzMzUiBEj1K5dO0lSXFycJCkgIMBhvYCAAHtbXFycihUr5tDu7u4uf39/e59/GjlypIYPH57ThwMAAFyUS48QffHFF5o7d67mzZunHTt2aNasWRozZoxmzZp1S/c7aNAgnTlzxv46duzYLd0fAABwLpceIerfv78GDhyotm3bSpKqVq2q33//XSNHjlSHDh0UGBgoSYqPj1fx4sXt68XHx6t69eqSpMDAQCUkJDhs98KFC0pMTLSv/09eXl7y8vK6BUcEAABckUuPECUnJ8vNzbHEfPnyKSsrS5JUtmxZBQYGavXq1fb2pKQkbdmyRSEhIZKkkJAQnT59WrGxsfY+a9asUVZWlurWrZsLRwEAAFydS48QPfrooxoxYoRKlSqlKlWq6Mcff9S4ceP04osvSpJsNpv69Omjt956S8HBwSpbtqwGDx6soKAgtWrVSpJUqVIlNWvWTF27dtXUqVOVkZGhyMhItW3blivMAACAJBcPRJMmTdLgwYPVo0cPJSQkKCgoSC+99JKGDBli7zNgwACdP39e3bp10+nTp1WvXj2tWLFC3t7e9j5z585VZGSkmjRpIjc3N7Vp00YTJ050xiEBAAAXZDOX3vYZV5SUlCQ/Pz+dOXNGvr6+zi4HecSOHTtUq1YtPfz6DPmXquDsciwl8ehBRY/opNjYWNWsWdPZ5QBwkhv5/e3Sc4gAAAByA4EIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABY3k0Forvvvlt///33ZctPnz6tu++++z8XBQAAkJtuKhD99ttvyszMvGx5Wlqa/vzzz/9cFAAAQG5yv5HOS5Yssf/3d999Jz8/P/v7zMxMrV69WmXKlMmx4gAAAHLDDQWiVq1aSZJsNps6dOjg0Obh4aEyZcpo7NixOVYcAABAbrihQJSVlSVJKlu2rLZt26aiRYvekqIAAABy0w0FomxHjhzJ6ToAAACc5qYCkSStXr1aq1evVkJCgn3kKNsnn3zynwsDAADILTcViIYPH66oqCjVrl1bxYsXl81my+m6AAAAcs1NBaKpU6dq5syZat++fU7XAwAAkOtu6j5E6enpevDBB3O6FgAAAKe4qUDUpUsXzZs3L6drAQAAcIqbOmWWmpqqjz76SKtWrVK1atXk4eHh0D5u3LgcKQ4AACA33FQg2rVrl6pXry5J2rNnj0MbE6wBAEBec1OBaO3atTldBwAAgNPc1BwiAACA28lNjRA1atTomqfG1qxZc9MFAQAA5LabCkTZ84eyZWRkaOfOndqzZ89lD30FAABwdTcViN57770rLh82bJjOnTv3nwoCAADIbTk6h+j555/nOWYAACDPydFAFBMTI29v75zcJAAAwC13U6fMWrdu7fDeGKMTJ05o+/btGjx4cI4UBgAAkFtuKhD5+fk5vHdzc1OFChUUFRWlpk2b5khhAAAAueWmAtGMGTNyug4AAACnualAlC02Nlb79++XJFWpUkU1atTIkaIAAABy000FooSEBLVt21br1q1T4cKFJUmnT59Wo0aN9Pnnn+vOO+/MyRoBAABuqZu6yqxnz546e/as9u7dq8TERCUmJmrPnj1KSkpSr169crpGAACAW+qmRohWrFihVatWqVKlSvZllStX1pQpU5hUDQAA8pybGiHKysqSh4fHZcs9PDyUlZX1n4sCAADITTcViBo3bqzevXvr+PHj9mV//vmn+vbtqyZNmuRYcQAAALnhpgLR5MmTlZSUpDJlyqhcuXIqV66cypYtq6SkJE2aNCmnawQAALilbmoOUcmSJbVjxw6tWrVKBw4ckCRVqlRJYWFhOVocAABAbrihEaI1a9aocuXKSkpKks1m08MPP6yePXuqZ8+euv/++1WlShV9//33t6pWAACAW+KGAtH48ePVtWtX+fr6Xtbm5+enl156SePGjcux4qSLc5Oef/553XHHHcqfP7+qVq2q7du329uNMRoyZIiKFy+u/PnzKywsTIcOHXLYRmJiotq1aydfX18VLlxYnTt31rlz53K0TgAAkHfdUCD66aef1KxZs6u2N23aVLGxsf+5qGynTp1SaGioPDw89O2332rfvn0aO3asihQpYu8zatQoTZw4UVOnTtWWLVtUoEABhYeHKzU11d6nXbt22rt3r6Kjo7V06VJt2LBB3bp1y7E6AQBA3nZDc4ji4+OveLm9fWPu7vrrr7/+c1HZ3n33XZUsWdLh2Wlly5a1/7cxRuPHj9cbb7yhxx9/XJI0e/ZsBQQEaNGiRWrbtq3279+vFStWaNu2bapdu7YkadKkSWrRooXGjBmjoKCgHKsXAADkTTc0QlSiRAnt2bPnqu27du1S8eLF/3NR2ZYsWaLatWvrqaeeUrFixVSjRg1NmzbN3n7kyBHFxcU5TOb28/NT3bp1FRMTI0mKiYlR4cKF7WFIksLCwuTm5qYtW7Zccb9paWlKSkpyeAEAgNvXDQWiFi1aaPDgwQ6no7KlpKRo6NCheuSRR3KsuF9//VUffPCBgoOD9d1336l79+7q1auXZs2aJUmKi4uTJAUEBDisFxAQYG+Li4tTsWLFHNrd3d3l7+9v7/NPI0eOlJ+fn/1VsmTJHDsmAADgem7olNkbb7yhBQsW6J577lFkZKQqVKggSTpw4ICmTJmizMxMvf766zlWXFZWlmrXrq23335bklSjRg3t2bNHU6dOVYcOHXJsP/80aNAg9evXz/4+KSmJUAQAwG3shgJRQECANm3apO7du2vQoEEyxkiSbDabwsPDNWXKlMtGa/6L4sWLq3Llyg7LKlWqpK+//lqSFBgYKOni3KZLT9XFx8erevXq9j4JCQkO27hw4YISExPt6/+Tl5eXvLy8cuowAACAi7vhGzOWLl1ay5cv16lTp3T48GEZYxQcHOxw5VdOCQ0N1cGDBx2W/fzzzypdurSkixOsAwMDtXr1ansASkpK0pYtW9S9e3dJUkhIiE6fPq3Y2FjVqlVL0sX7KWVlZalu3bo5XjMAAMh7bupO1ZJUpEgR3X///TlZy2X69u2rBx98UG+//baefvppbd26VR999JE++ugjSRdHpvr06aO33npLwcHBKlu2rAYPHqygoCC1atVK0sURpWbNmqlr166aOnWqMjIyFBkZqbZt27rMFWZHjx7VyZMnnV2GJRUtWlSlSpVydhkAACe76UCUG+6//34tXLhQgwYNUlRUlMqWLavx48erXbt29j4DBgzQ+fPn1a1bN50+fVr16tXTihUr5O3tbe8zd+5cRUZGqkmTJnJzc1ObNm00ceJEZxzSZY4ePaqKFSspJSXZ2aVYUv78PjpwYD+hCAAszqUDkSQ98sgj17xyzWazKSoqSlFRUVft4+/vr3nz5t2K8v6zkydPKiUlWXVfHCrf4mWcXY6lJJ34TVs+Ga6TJ08SiADA4lw+EFmFb/Ey8i9VwdllAABgSTd0HyIAAIDbEYEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYHoEIAABYXp4KRO+8845sNpv69OljX5aamqqIiAjdcccdKliwoNq0aaP4+HiH9Y4ePaqWLVvKx8dHxYoVU//+/XXhwoVcrh4AALiqPBOItm3bpg8//FDVqlVzWN63b1998803+vLLL7V+/XodP35crVu3trdnZmaqZcuWSk9P16ZNmzRr1izNnDlTQ4YMye1DAAAALipPBKJz586pXbt2mjZtmooUKWJffubMGU2fPl3jxo1T48aNVatWLc2YMUObNm3S5s2bJUkrV67Uvn37NGfOHFWvXl3NmzfXm2++qSlTpig9Pd1ZhwQAAFxInghEERERatmypcLCwhyWx8bGKiMjw2F5xYoVVapUKcXExEiSYmJiVLVqVQUEBNj7hIeHKykpSXv37s2dAwAAAC7N3dkF/JvPP/9cO3bs0LZt2y5ri4uLk6enpwoXLuywPCAgQHFxcfY+l4ah7PbstitJS0tTWlqa/X1SUtJ/OQQAAODiXHqE6NixY+rdu7fmzp0rb2/vXNvvyJEj5efnZ3+VLFky1/YNAAByn0sHotjYWCUkJKhmzZpyd3eXu7u71q9fr4kTJ8rd3V0BAQFKT0/X6dOnHdaLj49XYGCgJCkwMPCyq86y32f3+adBgwbpzJkz9texY8dy/uAAAIDLcOlA1KRJE+3evVs7d+60v2rXrq127drZ/9vDw0OrV6+2r3Pw4EEdPXpUISEhkqSQkBDt3r1bCQkJ9j7R0dHy9fVV5cqVr7hfLy8v+fr6OrwAAMDty6XnEBUqVEj33nuvw7ICBQrojjvusC/v3Lmz+vXrJ39/f/n6+qpnz54KCQnRAw88IElq2rSpKleurPbt22vUqFGKi4vTG2+8oYiICHl5eeX6MQEAANfj0oHoerz33ntyc3NTmzZtlJaWpvDwcL3//vv29nz58mnp0qXq3r27QkJCVKBAAXXo0EFRUVFOrBoAALiSPBeI1q1b5/De29tbU6ZM0ZQpU666TunSpbV8+fJbXBkAAMirXHoOEQAAQG4gEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMtz6UA0cuRI3X///SpUqJCKFSumVq1a6eDBgw59UlNTFRERoTvuuEMFCxZUmzZtFB8f79Dn6NGjatmypXx8fFSsWDH1799fFy5cyM1DAQAALsylA9H69esVERGhzZs3Kzo6WhkZGWratKnOnz9v79O3b1998803+vLLL7V+/XodP35crVu3trdnZmaqZcuWSk9P16ZNmzRr1izNnDlTQ4YMccYhAQAAF+Tu7AKuZcWKFQ7vZ86cqWLFiik2Nlb169fXmTNnNH36dM2bN0+NGzeWJM2YMUOVKlXS5s2b9cADD2jlypXat2+fVq1apYCAAFWvXl1vvvmmXn31VQ0bNkyenp7OODQAAOBCXHqE6J/OnDkjSfL395ckxcbGKiMjQ2FhYfY+FStWVKlSpRQTEyNJiomJUdWqVRUQEGDvEx4erqSkJO3du/eK+0lLS1NSUpLDCwAA3L7yTCDKyspSnz59FBoaqnvvvVeSFBcXJ09PTxUuXNihb0BAgOLi4ux9Lg1D2e3ZbVcycuRI+fn52V8lS5bM4aMBAACuJM8EooiICO3Zs0eff/75Ld/XoEGDdObMGfvr2LFjt3yfAADAeVx6DlG2yMhILV26VBs2bNBdd91lXx4YGKj09HSdPn3aYZQoPj5egYGB9j5bt2512F72VWjZff7Jy8tLXl5eOXwUAADAVbn0CJExRpGRkVq4cKHWrFmjsmXLOrTXqlVLHh4eWr16tX3ZwYMHdfToUYWEhEiSQkJCtHv3biUkJNj7REdHy9fXV5UrV86dAwEAAC7NpUeIIiIiNG/ePC1evFiFChWyz/nx8/NT/vz55efnp86dO6tfv37y9/eXr6+vevbsqZCQED3wwAOSpKZNm6py5cpq3769Ro0apbi4OL3xxhuKiIhgFAgAAEhy8UD0wQcfSJIaNmzosHzGjBnq2LGjJOm9996Tm5ub2rRpo7S0NIWHh+v999+3982XL5+WLl2q7t27KyQkRAUKFFCHDh0UFRWVW4cBAABcnEsHImPMv/bx9vbWlClTNGXKlKv2KV26tJYvX56TpQEAgNuIS88hAgAAyA0EIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHnuzi4AAPKao0eP6uTJk84uw5KKFi2qUqVKObsM3IYIRABwA44ePaqKFSspJSXZ2aVYUv78PjpwYD+hCDmOQAQAN+DkyZNKSUlW3ReHyrd4GWeXYylJJ37Tlk+G6+TJkwQi5DgCEQDcBN/iZeRfqoKzywCQQ5hUDQAALI9ABAAALI9ABAAALI9ABAAALI9ABAAALI9ABAAALI9ABAAALI9ABAAALI9ABAAALI9ABAAALM9SgWjKlCkqU6aMvL29VbduXW3dutXZJQEAABdgmUA0f/589evXT0OHDtWOHTt03333KTw8XAkJCc4uDQAAOJllAtG4cePUtWtXderUSZUrV9bUqVPl4+OjTz75xNmlAQAAJ7NEIEpPT1dsbKzCwsLsy9zc3BQWFqaYmBgnVgYAAFyBu7MLyA0nT55UZmamAgICHJYHBATowIEDl/VPS0tTWlqa/f2ZM2ckSUlJSTle27lz5yRJib8f1IW0lBzfPq4uKe6opIvfAd/t7eVWfrd8r85zq39mJSkuLk5xcXG3ZNu4tsDAQAUGBuboNrP/PzHG/HtnYwF//vmnkWQ2bdrksLx///6mTp06l/UfOnSokcSLFy9evHjxug1ex44d+9esYIkRoqJFiypfvnyKj493WB4fH3/FNDpo0CD169fP/j4rK0uJiYm64447ZLPZbnm9eUVSUpJKliypY8eOydfX19nlIAfx3d6++G5vT3yvV2aM0dmzZxUUFPSvfS0RiDw9PVWrVi2tXr1arVq1knQx5KxevVqRkZGX9ffy8pKXl5fDssKFC+dCpXmTr68vP4C3Kb7b2xff7e2J7/Vyfn5+19XPEoFIkvr166cOHTqodu3aqlOnjsaPH6/z58+rU6dOzi4NAAA4mWUC0TPPPKO//vpLQ4YMUVxcnKpXr64VK1ZcNtEaAABYj2UCkSRFRkZe8RQZbo6Xl5eGDh162elF5H18t7cvvtvbE9/rf2cz5nquRQMAALh9WeLGjAAAANdCIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAKQ67IvbuUiVyD3/fPnjp/DiwhEAHJF9j+6MTExmjlzplJSUng24G0gKyvrmu/hWrKysuw/d7t371Zqaio/h/+HQATgljPGyGaz6euvv9Yjjzyi33//Xb/++qu9jb9Q8y43t4u/RqZPn66kpCT7e7ierKws+/czZMgQ9e3bV0uXLlVWVhY/g7LYnaqR844dOyZjjNLT01W+fHn78uxfgIAk2Ww2rV+/Xi+++KJGjx6tbt262duysrKUL18+/p/Jw44dO6Z33nlHycnJ6tmzJ9+li8oOQ4MGDdLHH3+suXPnqmbNmg4h9tLQZDXWPGrkiAULFigsLEyNGjVS7dq11bNnT/3888+SxD+GuMyyZcvUrFkzdevWTUlJSVq7dq26du2q1q1ba/fu3bLZbJxuyaOKFy+uWrVqKTo6WhI//65s8+bN+vrrr7Vs2TI1bdpU3t7eOnLkiGbOnKk//vhDbm5uyszMdHaZTsEIEW7K+vXr9fzzz2vcuHGqWLGiTp06pW7duikuLk7vvPOOypUr5+wS4QIuHSkoUqSIli5dqvnz5+urr75ScnKyUlJS5O3trcaNG+vXX39VoUKFnFwxrsUYo8zMTLm7O/7qcHd319ChQ1WvXj3NnTtX7dq1c1KF+Kd/jta5u7srLS1Nxhjt27dP06ZN0zfffKP09HT16dNHe/bs0V133eXEip2HESLclJUrV6pRo0Z6+eWX1bBhQz3xxBOKjo7WmjVr9P777zu7PDhZ9nyES//SbNq0qe6991716NFDPj4+6t27t1atWqVXX31Vd999t1JTU51VLq7Dvn37ZLPZlC9fPknS8uXL9eeff9q/65IlS+qRRx7R+vXrJTG52lVkh6F3331XmzdvVqlSpVSxYkW9+OKLqlu3rlJSUhQVFaWtW7fqjjvu0NKlS51csfMwQoQbZozRiRMndOHCBUkX/+G7cOGCqlevrgkTJuiVV15R3759LftXhtVl/0UaHR2txYsX6/fff1fdunXVuXNnffHFFzpy5IjKli1r77906VK5ubnJ09PTiVXjWiZOnKg+ffpo3bp1ql+/vg4dOqRHHnlEDz74oEqVKqV3331XJUuWVMeOHdWsWTP17NlTVatWdXbZ+D8pKSlatWqVDhw4oBkzZujtt9/WL7/8ojvuuEOhoaHy9vbWuXPn5O/vrzvvvNPZ5ToNI0S4bomJiUpOTpbNZtOjjz6q9evXa9WqVXJzc7MPoRcsWFB33HGHfHx8nFwtnMVms2nhwoVq1aqVChYsqCpVqmjVqlWqW7eu/v77b3sY2r59u3r16qWPP/5YU6dOlZ+fn5Mrx9WEhYWpffv2evLJJ7V+/XoFBwfr6NGjevHFF3X8+HGFhISoQ4cOSklJUatWrfT+++8rPT3d2WXj/+TPn1/NmzfX1q1bderUKdWqVUtPPfWUmjRpIpvNpt9//11t27aVzWZTq1atnF2u8xjgOixcuNCEhoaa4OBgM2TIEPPtt9+a3r17m4oVK5qVK1fa+w0cONDUqlXLJCYmOrFaOFNcXJy5//77zaRJk4wxxvz5558mICDARERE2Pv8+uuvJiIiwjRs2NDs2rXLWaXiX2RlZdn/e//+/ea5554z/v7+ZvXq1cYYYzIzM40xxsyePdv07t3beHh4GB8fH1O+fHn7vwHZfZA7rvZ5Z2Zmmnvuucf07t3bviwtLc188MEHplmzZiYkJMSkp6cbY4y5cOFCbpTqcmzGcPMBXNuOHTvUuHFjvfLKK/r777/1ww8/KDg4WHXq1NGxY8c0efJk1axZUx4eHtqzZ4/WrFmjGjVqOLtsOMmvv/6qsLAwxcTEKCMjQyEhIWrevLk++ugjSRevNnv44Yd14sQJ+4giXFNaWpq8vLwkSenp6Tp79qz69Omj5cuXa8GCBWrQoIFD/507d2rRokWaPn26nnnmGY0ZM8YZZUPSjBkzVKxYMYWGhqpw4cKSpAkTJmjhwoX6/PPPFRgYKEnauHGjDh06pPbt2ytfvny6cOHCZZPmrYJAhGv65Zdf9Nlnn8lms+n111+XJH3zzTeaOHGiihQpoueff15+fn769ttv5e/vryeeeELBwcFOrhrOdPz4cXXs2FE9e/ZUz549FR4erilTpsjd3V2HDx/WyJEj1alTJ9WrV8/ZpeIavv32W/3555/q0qWLunbtqr1792rTpk06cOCA3n77bS1btkwLFy5U/fr17Tf2y5cvn1JTUzV58mR99913WrBgAVcOOkFqaqoeeOABeXp66uzZs3rnnXdUs2ZNFSxYUOXKldN7772nDh06XLZeZmamfdK8JTl1fAou7cyZM6Z27dqmWLFiZuDAgQ5tS5YsMY0aNTKtW7c2P/74o3MKhNNdekrlUo0bNzY2m820b9/eYXn//v1NzZo1zfHjx3OjPPwHzz77rClTpowJDw83RYsWdTi1efDgQfPCCy8Yf39/s27dOmPMxdMs2adrtm7dau68805z6NAhp9RuNVc6TXbhwgXz448/ml69epmKFSuaGjVqmAkTJpgXX3zRPPDAAyYuLs4Jlbo2AhGuaceOHeaee+4xoaGhZs+ePQ5ty5YtM9WrVzft2rUz58+fv+ovR9yesr/vlStXmq5du5rBgweb7777zhhjzNmzZ03VqlVNjRo1zKxZs8znn39uIiMjTaFChcxPP/3kzLJxA6pXr25sNpsZNmzYZW0HDx40HTp0MMWKFbN/79kmTZpk7rzzTnPixIncKtWyLg1Du3btMvv37zd79+516LNjxw4za9YsU7p0aVOiRAnj7u5uNmzYcNn6VscpM/yrXbt2qUOHDqpTp4569eqlKlWq2NtWrlypChUqqHTp0k6sEM4SHR2tVq1aqXHjxoqPj1d8fLxef/11devWTQkJCXr++ecVHx+vjIwM3X333Xr77bdVrVo1Z5eNqzD/d8uEtLQ0paSkqEuXLkpPT9fhw4fVr18/tW3bVgULFrT3//nnn9WnTx9JF+9LlH0LjhEjRqhNmzZ817eYueSmi0OHDrXf8NTDw0MDBgxQly5dHPonJiZq06ZNGj16tIwx2rBhgzPKdl1OjWPIM3bs2GFq1qxpunTpctlfH7CuKVOmmClTphhjjPn555/NoEGDTKFChcyHH35o73PixAnz999/m/PnzzurTFyHS0cK/jna265dO3PPPfeYadOmmaSkJPvylJQUc+7cOfu62esxWpy7hg0bZu68806zatUq8+uvv5qOHTsam81mxo8fb++TkZFh/+81a9aYqlWr8m/5P3AfIlyXGjVq6OOPP9auXbv05ptv6sCBA84uCU5g/m9Aef/+/dq9e7c2bNhgvwopODhYERERioiI0P/+9z99/PHHkqTAwED5+/tzbyoXZoyxP9Bz6tSp6tixo0aMGGG/6/ScOXNUp04djRs3TrNnz9bRo0fVsGFDtWnTRgUKFJCbm5uysrLsoxU8yyz3/Pjjj1q/fr0+++wzNWnSRPv27dOiRYv0+OOPq2/fvpo0aZKki4/syL57ePXq1fXXX3/p+PHjzizd9Tg7kSFv2bp1q2nQoAGTYi3s66+/NgULFjTBwcHGz8/PvP766w7tf/75p3n99deNzWYzn376qZOqxPW6dDRn2LBhpkiRIqZNmzamYsWKpn79+g7f4YsvvmiCg4PN3XffbWrXrm3S0tKcUbKl/XP07Y8//jCjRo0yqampZs2aNaZ48eLmgw8+MMnJyaZFixbGZrOZt956y2GduXPnmvz585tff/01N0t3ecwhwg1LTU2Vt7e3s8tALsn+J8JmsykhIUFNmzZV7969VapUKa1bt04jRozQlClT1L17d/s6x44d04wZM/TMM8+oQoUKziodN2DHjh2aPn26nnvuOYWGhio2NlYTJ07U3r171bt3b7Vv316StGrVKqWnpys8PNzy961xptGjR+vhhx9W9erVdfbsWRUqVEhdu3ZVvnz5NHHiRHl6eqpnz57avn27PD09tW7dOvvI3YIFC1S5cmVVrFjRyUfhWghEAK7ojz/+cHge3Xfffae1a9fq5MmTmjx5sry9vZWcnKyJEyfqtddeuywUWf6eJnnI119/rREjRsjNzU3Lli1TQECApIunY8aPH699+/apT58+lz3Fnu/YOdLT09W6dWslJydrwYIFKly4sJKTk1W/fn3Vq1dP48ePV0pKitq1a6eOHTvqsccek3TxuZPZp0ZxOT4ZAJd5++239cwzzzg8gf7w4cMaNWqUvvvuOyUmJkqSfHx81KtXL7399tvq06ePxo0bZ+/PL8q8w8vLS3fccYd+/vlnxcbG2pfXqFFDffv2VdWqVfXaa69p1apVDuvxHeeO7Lk/2Tw9PRURESGbzaalS5fKGCMfHx8988wzmjx5sjp16qQGDRroyJEjatmypSTHeWK4MkaIAFwmNTVVR44cUaVKlZSUlKRChQrJZrNp9uzZ6tSpk4YNG6bXXnvN/gsxJSVFI0eO1JQpU/TLL7/YHxUA13O1UYIffvhBw4cPV0ZGht544w2FhYXZ27Zu3aro6GgNHDiQEOREY8eOlZ+fn/1y+pdeeknbtm3T9u3b5ebmphMnTujzzz/X6tWrddddd2nSpEny8PBgJO86EYgAOMjIyJCHh4ck6fvvv1f37t01Y8YM1a5dWzabTe+//7569uypt99+W/3797f/ck1JSVFycjLPJnNhl4ah+fPnKy4uTn/88Yd69uypUqVKaePGjRo5cqRSU1M1aNAgNWnS5LJt8Ms19xljdPDgQVWuXFmS9Nprr+mhhx5S48aNVbt2bdWpU0fTpk2z97/0Z5g5XteP8TMADkPy2f+QpqSkqE6dOjpz5ox69OihH3/8UcYY9ejRQ5MmTdJrr72msWPH2tfNnz8/YcjFZYehAQMG6H//+59++OEHxcTEqGbNmvr0008VGhqqvn37ysfHR6NGjdLy5csv2wZhKHdc+jNps9lUsWJFRUVFyd/fXydOnNDs2bPVoUMH9enTR/v27XP4rrJ/ho0xhKEbQCACIDc3Nx05ckQzZsyQJH3xxRfq2rWrvLy89PPPP+vcuXPq3LmzQyiaMmWKXn31Vft9TpA3zJ8/X3PnztXy5cv15ZdfauTIkUpMTLQ/hLVJkybq06ePzp49q5UrVzq5Wus5ePCgpP9/L6fly5dr586dkqRevXrpqaeeUtmyZdW3b18lJyerf//+2r9/v+bNm6fk5GSHbXE/qBvkhEv9AbiY9PR0M2jQIBMUFGRefvllY7PZzMyZM+3tycnJpmLFiqZ69eomNjbWfi+Ujz/+2Ozbt89ZZeMmjB8/3nTo0MEYc/F+NL6+vub99983xlx8oPPff/9tjLl4zzGec5W7JkyYYGw2m9m4caMxxpijR4+awoULm/DwcDN8+HBjjDEffPCBad++vTl79qwx5uJz4+677z7z0EMPcYfw/4hABMAYc/ERG9k3cuvUqZN9eUpKijHm/4ei2rVrm82bN/OPbx5wpUDTq1cv89RTT5lNmzaZQoUK2cOQMcZMnDjRDBo0yFy4cOGa28CtERcXZ1544QVTqFAh8/333xtjLj5Ed+TIkaZSpUqmcePGZsOGDeaee+4xvXr1sq93+PDhyx6fghvHpGoAkqTk5GR16dJFCQkJOn78uHr27Gm/r1D2zThTUlJ09913q1y5clq9erX9sR1wbRs3btTdd9+t4sWLa8eOHWrbtq0OHz6sjz76yH7FUnJysp555hmVKVNGEydO5HRLLjKXPKT15MmT6tu3rxYsWKAVK1booYceUnJysuLj49WlSxcZY1SgQAFt3LhRs2bN0qOPPmrfDvcZ+m/45AALu/TvIR8fH82bN08zZ87Uww8/rPfee08ffPCBJNnvTJ4/f379/vvvmj17NmEoDzDGaOvWrXrooYc0bdo0/f3336pQoYLatGmjChUq6M8//1RiYqI2b96sJ598Un/88Yfee+892Ww28bdy7rn0sy5atKjGjh2r1q1bq1mzZvrhhx/k4+OjsmXLavXq1WrVqpXy58+v06dPKyYmxmE7hKH/hhEiwKKy/yr94YcfFBsbq0OHDqlDhw6qUqWKkpKS9M4772jlypWKjIxUjx49NGzYMP3222+aNm2a/SoW5A2jR4/WyJEj1bdvX73yyitKSkrSpEmTNHv2bJ05c0Zly5ZVQECAli1bxn1rctnnn3+ulStXauDAgQoKClLBggUlSX/99Zf69OmjxYsXa+XKlXrwwQft65w4cUKrVq3Ss88+y1VkOYhABFjYggUL1KVLFz388MNKSkrS3r179cQTT2js2LH67bff9NFHH2natGm65557tHfvXq1bt061a9d2dtm4iktPvfzz/jNjx47V8OHD9b///U8DBgyQp6enzp49q9jYWJUqVUp333233NzcuG9NLkpKSlLNmjWVlJSkwMBA1alTR/Xq1VPHjh0lXTyN2blzZy1ZskQrV65UaGjoZdvg+8o5fIqARe3fv1+vvPKKxo4dq06dOik1NVU+Pj4qUqSI3N3dVb58efXv318NGzbU9u3bNWfOHAUHBzu7bFxDdhh69913VahQIXXq1En58+eXJL3yyiuSpFdffVVubm568cUXFRQUpMaNG9vXz8rK4pdrLipQoICefvpplS5dWvfff7/WrFmjvn37auXKlapWrZpeeeUVTZo0SUWKFFGzZs20ZMkSNWrUyGEbfF85yBkzuQE43+bNm02dOnWMMcbs37/flCpVynTp0sXefuDAAYerjeC6/nllUZcuXYzNZjMzZswwycnJDm0vvPCCufPOO81rr71mEhMTc7NMXMHy5ctNoUKFzE8//WSMuXhV5+DBg43NZjO1atUy7777romOjjZPPfWUadKkiZOrvb0xAwuwqLi4OKWmpuqvv/5S8+bNFR4erg8//FCStG7dOk2aNEnx8fFOrhLXI3tkaN++fZKkadOmqW/fvnrppZf02WefOdywr3jx4ipRooRiY2N55pwLaN68udq3b2//2fP29tbXX3+txx9/XA0bNtTatWvVtGlTPfDAA9wo8xZjrA2wAHPJ3JJszZs31+DBgxUQEKBu3bpp6tSp9rbly5dr3759XEnm4i69zPrLL7/UxIkT1bNnTz399NP2x6p0795dxhg1bdpUJUuW1K+//qqpU6eqTp069qvJuMTeuWrWrKkZM2bo1KlTatKkiYoUKaJZs2bJ19dXf/zxhzZt2qTWrVvLzc2NS+tvISZVA7e57F94mzdv1ubNmxUcHKzatWsrICBAX331lYYOHapKlSpp6tSp+uWXX7Rw4UJ98MEH+uGHH1S1alVnl4+ruPQX47Jly7Rs2TLNnTtXVapUUf/+/fXEE09Ikvr376/Zs2crICBAWVlZysrK0q5du+Tu7s4vVxdSp04dbd++XfXr19eCBQvk7+9/WR8mUN9aBCLAApYtW6Y2bdqoWrVq+vHHH/Xcc88pMjJStWrV0ty5czVixAidOHHCftnvtGnTVL16dWeXjevw6quvavbs2YqMjFRKSopmzpyp4OBg9ejRQ0899ZSki88v++OPP5SSkqKBAwfK3d2dS+tdRPYfLHPmzNG7776rmTNnqlatWozcOQGBCLiNmYuP51G3bt1Up04ddevWTd9++62GDx+uoKAgDRw4UHXq1FFWVpbWrVun0qVLy8/PT0WLFnV26bgO+/btU/PmzfXhhx+qWbNmkqRdu3YpIiJCmZmZGjBggFq1anXZeoQh1/Pnn3/q/vvvV69evTRw4EBnl2NJjJUCt6Hsv3Pi4uJ0/vx5FSpUSDVr1pR0ce7Qm2++qRMnTujdd9/VunXr5ObmpsaNG6tcuXKEoTykUKFCMsYoIyND0sXTaNWqVdOHH36o3bt3a9y4cfryyy/t/bOysiSJMOSCSpQooUGDBmnMmDH2yfHIXQQi4DZks9n01Vdf6aGHHlL58uU1a9YsHTx40N7+8MMP680339Rff/2lt99+W5s2bXJitbge2SH30kF9Y4zc3d21c+dO+/usrCxVrlxZ9913nxITEzVr1ix9/fXXki4+2oGTAq6rRYsWatmypSpWrOjsUiyJU2bAbSR73sGxY8cUGhqqvn37yt3dXfPnz1dGRoYGDx6sRx55xN7/22+/1fjx4zV9+nTdddddTqwc13Lp5Odjx47Jzc1Nfn5+KliwoD755BN17dpV06dPt9/hODU1VZ07d1azZs00Z84cubm5qX379nruueeceBS4Htk/w5zWzH0EIuA2ExMTo2+++UYpKSl67733JEmbNm3SmDFjdOrUKb3yyisOoSg5OVk+Pj7OKhf/4tLJtVFRUVq0aJFSUlKUnp6uMWPGqEmTJpo0aZIGDx6sdu3ayd/fXz/99JNOnz6tnTt36vDhw3r++ecVFBSkWbNmqVChQk4+IsA1EYiA28jZs2fVr18/ffHFFwoNDdXy5cvtbRs3btSYMWN07tw5de/eXa1bt3ZipbhRUVFRmjx5sqZPn66QkBA9+eSTOnz4sL7//nuVLVtWixcv1qeffqrz58+raNGimj59ujw9PSVJP//8s7y9vVWqVCknHwXgughEwG3g0lGEbdu26cMPP9TcuXM1a9YsPf300/Z+mzZt0uDBg1WgQAHNmzfP/mRtuJ7s79QYo9OnT6t169b2S+m/+eYbvfDCCxoxYoR69OhhP72SkpJif3aZJGVkZMjd3Z3Lt4HrQCAC8rDsX5ppaWlyd3e3zznYv3+/Ro0apS1btigqKkpPPvmkfZ0tW7aoRIkSzBlyYZfOGTpz5ozy5cuncuXKadeuXdq7d68ef/xxjR49Wi+//LLOnz+vsWPHqmfPnipSpIh9G9zHBrgxXGUG5FHZv/C+/fZbPfnkk2rcuLGeeOIJ7dy5U5UqVdLAgQMVEhKiwYMHa8GCBfb16tatSxhyYcYYexgaMGCAIiMjVbBgQYWGhurll1/WY489pgkTJujll1+WJP39999auXKlVq9e7bAdwhBwYwhEQB6UHYaWLl2qVq1aKTg4WI0aNVJcXJwef/xxzZ8/XxUqVFCfPn1Uv3599ejRQ4sXL3Z22fgXx48ftweZtWvXKjo6Wj169JAxRiEhIdq2bZuaNWumF198UZJ0/vx5de/eXd7e3vZHdQC4OZwyA/KA7FMol55KOXv2rB577DGFhobqrbfesvd97rnntHHjRq1YsUKVKlXS1q1bNWfOHPXu3VvlypVz1iHgX0ycOFFjx47VkSNHtHjxYi1ZskQFChTQ5MmTJV0MP3379tWWLVvk5+en8uXL6+DBgzp37py2b98uDw8PLtUG/gMCEeDiskPQb7/9ppUrV6pmzZqqXbu2UlNTFRISoq5du6pHjx5KS0uzP52+Vq1aqlSpkubMmSNJDm1wPR9++KF69+6tmTNnqm3btnr44Ye1ceNGPfDAA1qzZo2937lz57Rs2TKtWLFCHh4eKlOmjAYMGCB3d3ce/An8RwQiwIVlh6Hdu3frySefVJUqVdSlSxe1aNFCkhQaGqo777xTixYtkvT/g0/Pnj31xx9/aOHChU6sHtdj2rRpioyM1Pz58+3PHTt79qw6dOigAwcOKCIiQj169LjmnCBGhoD/jjlEgAtzc3PTgQMH1KBBA7Vu3VqTJ0+2hyFJev3117Vnzx717dtXkuyjQImJiSpUqJAyMzN5VIMLW7dunV566SW9/vrrDg9hHTx4sEqUKKFKlSrp888/14wZM+xtFy5cuGw7hCHgv2OECHBhqampeuGFF1SsWDH7XBLp4v1lEhMT9dtvv2nTpk2aNWuWihYtqgYNGujIkSP64osvtGXLFlWpUsWJ1ePfHDp0SJ07d1aRIkU0ePBg1a5dW23atNHu3bu1c+dOJScn6+WXX9Zff/2ljh07qlOnTs4uGbhtMUIEuDB3d3fFxcU5POzxu+++04ABA1S+fHl17txZ8+bN0+jRo+Xn56dVq1bp1KlTiomJIQzlAcHBwZo+fbrS09M1bNgwPfTQQ/a5Yj4+PipatKgmT56sgIAAjRo1SsuWLXN2ycBtixl4gAtLTk7WX3/9pV27dungwYNasGCBZs2apXvvvVdvvfWWChYsqDFjxmjDhg36+uuvZYxRRkaG/ZENcH3BwcGaOHGievTood27d2vatGkqU6aMpIsjgYGBgRo/frymTJmiZs2aObdY4DbGKTPAxa1Zs0bh4eEqUaKEEhMTNXr0aDVp0kTly5dXRkaGHnnkEd155532K8qQN/3yyy+KiIiQm5ubXnvtNdWrV0/SxVDk4eFh78cEauDWIBABecCxY8eUkJCg0qVLq2jRovblWVlZatu2rSpUqKCoqChJ3KE4Lzt06JB69eolSXrjjTcUGhrq5IoA6yAQAXlUenq63nzzTX3yySdat26dgoODnV0ScsChQ4fUt29fxcfHa/r06apWrZqzSwIsgUAE5EFz5szRtm3bNH/+fH377beqUaOGs0tCDtq/f78+/vhjjR492n5ncgC3FoEIyGMOHjyol19+WUWKFNGIESNUqVIlZ5eEW+jSx7UAuHUIREAelJCQIC8vL/n5+Tm7FAC4LRCIAACA5TEOCwAALI9ABAAALI9ABAAALI9ABAAALI9ABAAALI9ABAAALI9ABAAALI9ABCDPW7dunWw2m06fPu1S27PZbFq0aFGO1ATg1iIQAcgzYmJilC9fPrVs2dLZpQC4zRCIAOQZ06dPV8+ePbVhwwYdP37c2eUAuI0QiADkCefOndP8+fPVvXt3tWzZUjNnzrxm/40bN6phw4by8fFRkSJFFB4erlOnTkmS0tLS1KtXLxUrVkze3t6qV6+etm3bdtk2YmNjVbt2bfn4+OjBBx/UwYMHHdo/+OADlStXTp6enqpQoYI+/fTTHDteALmLQAQgT/jiiy9UsWJFVahQQc8//7w++eQTXe1RjDt37lSTJk1UuXJlxcTE6IcfftCjjz6qzMxMSdKAAQP09ddfa9asWdqxY4fKly+v8PBwJSYmOmzn9ddf19ixY7V9+3a5u7vrxRdftLctXLhQvXv31iuvvKI9e/bopZdeUqdOnbR27dpb9yEAuHUMAOQBDz74oBk/frwxxpiMjAxTtGhRs3btWmOMMWvXrjWSzKlTp4wxxjz77LMmNDT0its5d+6c8fDwMHPnzrUvS09PN0FBQWbUqFEO21u1apW9z7Jly4wkk5KSYq+na9euDtt+6qmnTIsWLezvJZmFCxf+p+MGkDsYIQLg8g4ePKitW7fq2WeflSS5u7vrmWee0fTp06/YP3uE6Ep++eUXZWRkKDQ01L7Mw8NDderU0f79+x36VqtWzf7fxYsXlyQlJCRIkvbv3++wDUkKDQ29bBsA8gZ3ZxcAAP9m+vTpunDhgoKCguzLjDHy8vLS5MmTL+ufP3/+HNmvh4eH/b9tNpskKSsrK0e2DcC1MEIEwKVduHBBs2fP1tixY7Vz507766efflJQUJA+++yzy9apVq2aVq9efcXtZU+C3rhxo31ZRkaGtm3bpsqVK193XZUqVXLYhnRxIveNbAOA62CECIBLW7p0qU6dOqXOnTvLz8/Poa1NmzaaPn26Ro8e7bB80KBBqlq1qnr06KGXX35Znp6eWrt2rZ566ikVLVpU3bt3V//+/eXv769SpUpp1KhRSk5OVufOna+7rv79++vpp59WjRo1FBYWpm+++UYLFizQqlWrcuS4AeQuRogAuLTp06crLCzssjAkXQxE27dv165duxyW33PPPVq5cqV++ukn1alTRyEhIVq8eLHc3S/+DfjOO++oTZs2at++vWrWrKnDhw/ru+++U5EiRa67rlatWmnChAkaM2aMqlSpog8//FAzZsxQw4YN/9PxAnAOmzFXuW4VAADAIhghAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlvf/AL5tjFKxtGi6AAAAAElFTkSuQmCC",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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z66PjZ8+e1dKlS7V582Z5eXmpQ4cOio6O1ksvvaTGjRtr7969WrRokc3VwIK89957Cg8PV0hIiCIiIqyP3Xt6emr06NF3VHPlypU1btw4DRs2TCdOnNDTTz+t0qVL6/jx4/rvf/+ryMhIvf7667e0rzfeeEMLFy5U27Zt9dprr1kfu8+9kngj3bp10xdffKFXXnlF69evV5MmTZSdna1Dhw7piy++0OrVq62T1evXr6+1a9dqypQp8vf3V1BQUL5zl3Afs9fjbYC95T4anbs4Ozsbfn5+xhNPPGFMnz7d5vHuXH9+vDg2NtZ46qmnDH9/f8PZ2dnw9/c3/vGPfxhHjhyx2e6bb74xatSoYTg6Oto89ty8eXOjZs2a+dZX0GP3n332mTFs2DCjfPnyhpubm9G+fXvj5MmTebZ///33jQceeMBwcXExmjRpYuzYsSPPPm9U258fuzcMw/j999+NgQMHGv7+/oaTk5NRtWpV47333rN5tNwwrj9237dv3zw1FfQ6gD9LSkoyXnrpJaNs2bKGs7OzUatWrXxfDXC7j90XNDb3Z3ujx+4NwzCysrKMESNGGH5+foabm5vRqlUr4+DBg0aZMmWMV155Jc+2f35UPvc469evv6Wac508edLo3r27Ua5cOcPFxcV46KGHjL59+xoZGRmGYVx/7H7w4MFGhQoVDDc3N6NJkybGli1b8vx95/fYvWEYxtq1a40mTZoYbm5uhoeHh9GxY0fjwIEDNmNyf/fze8XEnz8Xub766iujadOmhru7u+Hu7m5Ur17d6Nu3r3H48OHbOv89e/YYzZs3N1xdXY0HHnjAGDt2rPHxxx/f9LF7w7j+yoZ3333XqFmzpuHi4mJ4e3sb9evXN8aMGWNcvHjROu7QoUNGs2bNDDc3tzyvUYA5WAzDRDMcAaCQpaamytvbW+PGjdPbb79t73IA3CHmEAHALcrvC0ynTZsmSfl+zQqAewdziADgFi1ZskTz589Xu3btVKpUKW3evFmfffaZ2rRpoyZNmtzWvtLT05Wenn7DMeXKlbtvv2D2ypUrN/3KFB8fH76wFUWGQAQAt6h27dpydHTUpEmTlJaWZp1oPW7cuNve1+TJkzVmzJgbjjl+/Hie7xK7XyxZsuSmb2hfv349V95QZJhDBAB28Ouvv970a0yaNm16w6cc72Vnz57V/v37bzimfv36Bb4FHChsBCIAAGB6TKoGAACmxxyiW5STk6MzZ86odOnSvOIdAIB7hGEY+v333+Xv73/DL90mEN2iM2fO8EWAAADco06dOqUHH3ywwH4C0S3K/bqAU6dOycPDw87VAACAW5GWlqaAgICbfu0PgegW5d4m8/DwIBABAHCPudl0FyZVAwAA0yMQAQAA0yMQAQAA0yMQAQAA0yMQAQAA0yMQAQAA0yMQAQAA0yMQAQAA0yMQAQAA0yMQAQAA0yMQAQAA0yMQAQAA0yMQAQAA0yMQAQAA03O0dwEAYBYJCQk6d+6cvcsAiqWyZcuqYsWKdjs+gQgAikBCQoKqVw/WlSuX7V0KUCy5uZXUoUMH7RaKCEQAUATOnTunK1cuq9E/R8mjQiV7lwMUK2lnT2jrJ2N07tw5AhEAmIFHhUryqVjN3mUA+BMmVQMAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANOzayDauHGjOnbsKH9/f1ksFi1btizPmIMHD+rJJ5+Up6en3N3d9eijjyohIcHaf/XqVfXt21dlypRRqVKl1LlzZyUlJdnsIyEhQe3bt1fJkiVVvnx5DRkyRFlZWXf79AAAwD3CroHo0qVLeuSRRzRr1qx8+48dO6amTZuqevXq+uGHH7Rnzx6NGDFCrq6u1jEDBw7U8uXLtXTpUm3YsEFnzpxRp06drP3Z2dlq3769MjMz9dNPP2nBggWaP3++Ro4cedfPDwAA3Bsc7Xnw8PBwhYeHF9j/9ttvq127dpo0aZK1rXLlytY/X7x4UR9//LEWL16sVq1aSZLmzZun4OBg/fzzz3rssce0Zs0aHThwQGvXrpWvr6/q1KmjsWPHaujQoRo9erScnZ3v3gkCAIB7QrGdQ5STk6PvvvtOf/vb3xQWFqby5curUaNGNrfV4uLidO3aNYWGhlrbqlevrooVK2rLli2SpC1btqhWrVry9fW1jgkLC1NaWpr2799f4PEzMjKUlpZmswAAgPtTsQ1EycnJSk9P1zvvvKO2bdtqzZo1euaZZ9SpUydt2LBBkpSYmChnZ2d5eXnZbOvr66vExETrmD+Godz+3L6CTJw4UZ6entYlICCgEM8OAAAUJ8U2EOXk5EiSnnrqKQ0cOFB16tTRm2++qQ4dOmjOnDl3/fjDhg3TxYsXrcupU6fu+jEBAIB9FNtAVLZsWTk6OqpGjRo27cHBwdanzPz8/JSZmanU1FSbMUlJSfLz87OO+fNTZ7nruWPy4+LiIg8PD5sFAADcn4ptIHJ2dtajjz6qw4cP27QfOXJEgYGBkqT69evLyclJsbGx1v7Dhw8rISFBISEhkqSQkBDt3btXycnJ1jExMTHy8PDIE7YAAIA52fUps/T0dB09etS6fvz4ccXHx8vHx0cVK1bUkCFD9Pzzz6tZs2Zq2bKlVq1apeXLl+uHH36QJHl6eioiIkKDBg2Sj4+PPDw81K9fP4WEhOixxx6TJLVp00Y1atRQt27dNGnSJCUmJmr48OHq27evXFxc7HHaAACgmLFrINqxY4datmxpXR80aJAkqUePHpo/f76eeeYZzZkzRxMnTlT//v1VrVo1ffXVV2ratKl1m6lTp8rBwUGdO3dWRkaGwsLC9MEHH1j7S5QooRUrVqhPnz4KCQmRu7u7evTooejo6KI7UQAAUKxZDMMw7F3EvSAtLU2enp66ePEi84kA3LadO3eqfv36euLtefKpWM3e5QDFSkrCYcWMf0lxcXGqV69eoe77Vv/9LrZziAAAAIoKgQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJgegQgAAJieXQPRxo0b1bFjR/n7+8tisWjZsmUFjn3llVdksVg0bdo0m/aUlBR17dpVHh4e8vLyUkREhNLT023G7NmzR48//rhcXV0VEBCgSZMm3YWzAQAA9yq7BqJLly7pkUce0axZs2447r///a9+/vln+fv75+nr2rWr9u/fr5iYGK1YsUIbN25UZGSktT8tLU1t2rRRYGCg4uLi9N5772n06NGaO3duoZ8PAAC4Nzna8+Dh4eEKDw+/4ZjTp0+rX79+Wr16tdq3b2/Td/DgQa1atUrbt29XgwYNJEkzZ85Uu3btNHnyZPn7+2vRokXKzMzUJ598ImdnZ9WsWVPx8fGaMmWKTXACAADmVaznEOXk5Khbt24aMmSIatasmad/y5Yt8vLysoYhSQoNDZWDg4O2bt1qHdOsWTM5Oztbx4SFhenw4cO6cOFCgcfOyMhQWlqazQIAAO5PxToQvfvuu3J0dFT//v3z7U9MTFT58uVt2hwdHeXj46PExETrGF9fX5sxueu5Y/IzceJEeXp6WpeAgIC/cioAAKAYK7aBKC4uTtOnT9f8+fNlsViK/PjDhg3TxYsXrcupU6eKvAYAAFA0im0g2rRpk5KTk1WxYkU5OjrK0dFRJ0+e1ODBg1WpUiVJkp+fn5KTk222y8rKUkpKivz8/KxjkpKSbMbkrueOyY+Li4s8PDxsFgAAcH8qtoGoW7du2rNnj+Lj462Lv7+/hgwZotWrV0uSQkJClJqaqri4OOt269atU05Ojho1amQds3HjRl27ds06JiYmRtWqVZO3t3fRnhQAACiW7PqUWXp6uo4ePWpdP378uOLj4+Xj46OKFSuqTJkyNuOdnJzk5+enatWqSZKCg4PVtm1b9e7dW3PmzNG1a9cUFRWlLl26WB/Rf+GFFzRmzBhFRERo6NCh2rdvn6ZPn66pU6cW3YkCAIBiza6BaMeOHWrZsqV1fdCgQZKkHj16aP78+be0j0WLFikqKkqtW7eWg4ODOnfurBkzZlj7PT09tWbNGvXt21f169dX2bJlNXLkSB65BwAAVnYNRC1atJBhGLc8/sSJE3nafHx8tHjx4htuV7t2bW3atOl2ywMAACZRbOcQAQAAFBUCEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD27BqKNGzeqY8eO8vf3l8Vi0bJly6x9165d09ChQ1WrVi25u7vL399f3bt315kzZ2z2kZKSoq5du8rDw0NeXl6KiIhQenq6zZg9e/bo8ccfl6urqwICAjRp0qSiOD0AAHCPsGsgunTpkh555BHNmjUrT9/ly5e1c+dOjRgxQjt37tTXX3+tw4cP68knn7QZ17VrV+3fv18xMTFasWKFNm7cqMjISGt/Wlqa2rRpo8DAQMXFxem9997T6NGjNXfu3Lt+fgAA4N7gaM+Dh4eHKzw8PN8+T09PxcTE2LT961//UsOGDZWQkKCKFSvq4MGDWrVqlbZv364GDRpIkmbOnKl27dpp8uTJ8vf316JFi5SZmalPPvlEzs7OqlmzpuLj4zVlyhSb4AQAAMzrnppDdPHiRVksFnl5eUmStmzZIi8vL2sYkqTQ0FA5ODho69at1jHNmjWTs7OzdUxYWJgOHz6sCxcuFHisjIwMpaWl2SwAAOD+dM8EoqtXr2ro0KH6xz/+IQ8PD0lSYmKiypcvbzPO0dFRPj4+SkxMtI7x9fW1GZO7njsmPxMnTpSnp6d1CQgIKMzTAQAAxcg9EYiuXbum5557ToZhaPbs2UVyzGHDhunixYvW5dSpU0VyXAAAUPTsOofoVuSGoZMnT2rdunXWq0OS5Ofnp+TkZJvxWVlZSklJkZ+fn3VMUlKSzZjc9dwx+XFxcZGLi0thnQYAACjGivUVotww9Msvv2jt2rUqU6aMTX9ISIhSU1MVFxdnbVu3bp1ycnLUqFEj65iNGzfq2rVr1jExMTGqVq2avL29i+ZEAABAsWbXQJSenq74+HjFx8dLko4fP674+HglJCTo2rVrevbZZ7Vjxw4tWrRI2dnZSkxMVGJiojIzMyVJwcHBatu2rXr37q1t27bpxx9/VFRUlLp06SJ/f39J0gsvvCBnZ2dFRERo//79WrJkiaZPn65BgwbZ67QBAEAxY9dbZjt27FDLli2t67khpUePHho9erS+/fZbSVKdOnVstlu/fr1atGghSVq0aJGioqLUunVrOTg4qHPnzpoxY4Z1rKenp9asWaO+ffuqfv36Klu2rEaOHMkj9wAAwMqugahFixYyDKPA/hv15fLx8dHixYtvOKZ27dratGnTbdcHAADMoVjPIQIAACgKBCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6BCIAAGB6dg1EGzduVMeOHeXv7y+LxaJly5bZ9BuGoZEjR6pChQpyc3NTaGiofvnlF5sxKSkp6tq1qzw8POTl5aWIiAilp6fbjNmzZ48ef/xxubq6KiAgQJMmTbrbpwYAAO4hdg1Ely5d0iOPPKJZs2bl2z9p0iTNmDFDc+bM0datW+Xu7q6wsDBdvXrVOqZr167av3+/YmJitGLFCm3cuFGRkZHW/rS0NLVp00aBgYGKi4vTe++9p9GjR2vu3Ll3/fwAAMC9wdGeBw8PD1d4eHi+fYZhaNq0aRo+fLieeuopSdJ//vMf+fr6atmyZerSpYsOHjyoVatWafv27WrQoIEkaebMmWrXrp0mT54sf39/LVq0SJmZmfrkk0/k7OysmjVrKj4+XlOmTLEJTgAAwLyK7Ryi48ePKzExUaGhodY2T09PNWrUSFu2bJEkbdmyRV5eXtYwJEmhoaFycHDQ1q1brWOaNWsmZ2dn65iwsDAdPnxYFy5cKPD4GRkZSktLs1kAAMD9qdgGosTEREmSr6+vTbuvr6+1LzExUeXLl7fpd3R0lI+Pj82Y/Pbxx2PkZ+LEifL09LQuAQEBf+2EAABAsVVsA5G9DRs2TBcvXrQup06dsndJAADgLim2gcjPz0+SlJSUZNOelJRk7fPz81NycrJNf1ZWllJSUmzG5LePPx4jPy4uLvLw8LBZAADA/anYBqKgoCD5+fkpNjbW2paWlqatW7cqJCREkhQSEqLU1FTFxcVZx6xbt045OTlq1KiRdczGjRt17do165iYmBhVq1ZN3t7eRXQ2AACgOLNrIEpPT1d8fLzi4+MlXZ9IHR8fr4SEBFksFg0YMEDjxo3Tt99+q71796p79+7y9/fX008/LUkKDg5W27Zt1bt3b23btk0//vijoqKi1KVLF/n7+0uSXnjhBTk7OysiIkL79+/XkiVLNH36dA0aNMhOZw0AAIqbOwpEDz30kM6fP5+nPTU1VQ899NAt72fHjh2qW7eu6tatK0kaNGiQ6tatq5EjR0qS3njjDfXr10+RkZF69NFHlZ6erlWrVsnV1dW6j0WLFql69epq3bq12rVrp6ZNm9q8Y8jT01Nr1qzR8ePHVb9+fQ0ePFgjR47kkXsAAGB1R+8hOnHihLKzs/O0Z2Rk6PTp07e8nxYtWsgwjAL7LRaLoqOjFR0dXeAYHx8fLV68+IbHqV27tjZt2nTLdQEAAHO5rUD07bffWv+8evVqeXp6Wtezs7MVGxurSpUqFVpxAAAAReG2AlHu3B2LxaIePXrY9Dk5OalSpUp6//33C604AACAonBbgSgnJ0fS9SfAtm/frrJly96VogAAAIrSHc0hOn78eGHXAQAAYDd3/OWusbGxio2NVXJysvXKUa5PPvnkLxcGAABQVO4oEI0ZM0bR0dFq0KCBKlSoIIvFUth1AQAAFJk7CkRz5szR/Pnz1a1bt8KuBwAAoMjd0YsZMzMz1bhx48KuBQAAwC7uKBD16tXrpi9DBAAAuFfc0S2zq1evau7cuVq7dq1q164tJycnm/4pU6YUSnEAAABF4Y4C0Z49e1SnTh1J0r59+2z6mGANAADuNXcUiNavX1/YdQAAANjNHc0hAgAAuJ/c0RWili1b3vDW2Lp16+64IAAAgKJ2R4Eod/5QrmvXrik+Pl779u3L86WvAAAAxd0dBaKpU6fm2z569Gilp6f/pYIAAACKWqHOIXrxxRf5HjMAAHDPKdRAtGXLFrm6uhbmLgEAAO66O7pl1qlTJ5t1wzB09uxZ7dixQyNGjCiUwgAAAIrKHQUiT09Pm3UHBwdVq1ZN0dHRatOmTaEUBgAAUFTuKBDNmzevsOsAAACwmzsKRLni4uJ08OBBSVLNmjVVt27dQikKAACgKN1RIEpOTlaXLl30ww8/yMvLS5KUmpqqli1b6vPPP1e5cuUKs0YAAIC76o6eMuvXr59+//137d+/XykpKUpJSdG+ffuUlpam/v37F3aNAAAAd9UdXSFatWqV1q5dq+DgYGtbjRo1NGvWLCZVAwCAe84dXSHKycmRk5NTnnYnJyfl5OT85aIAAACK0h0FolatWum1117TmTNnrG2nT5/WwIED1bp160IrDgAAoCjcUSD617/+pbS0NFWqVEmVK1dW5cqVFRQUpLS0NM2cObOwawQAALir7mgOUUBAgHbu3Km1a9fq0KFDkqTg4GCFhoYWanEAAABF4bauEK1bt041atRQWlqaLBaLnnjiCfXr10/9+vXTo48+qpo1a2rTpk13q1YAAIC74rYC0bRp09S7d295eHjk6fP09NTLL7+sKVOmFFpx2dnZGjFihIKCguTm5qbKlStr7NixMgzDOsYwDI0cOVIVKlSQm5ubQkND9csvv9jsJyUlRV27dpWHh4e8vLwUERGh9PT0QqsTAADc224rEO3evVtt27YtsL9NmzaKi4v7y0XlevfddzV79mz961//0sGDB/Xuu+9q0qRJNvOUJk2apBkzZmjOnDnaunWr3N3dFRYWpqtXr1rHdO3aVfv371dMTIxWrFihjRs3KjIystDqBAAA97bbmkOUlJSU7+P21p05Ouq33377y0Xl+umnn/TUU0+pffv2kqRKlSrps88+07Zt2yRdvzo0bdo0DR8+XE899ZQk6T//+Y98fX21bNkydenSRQcPHtSqVau0fft2NWjQQJI0c+ZMtWvXTpMnT5a/v3+h1QsAAO5Nt3WF6IEHHtC+ffsK7N+zZ48qVKjwl4vK1bhxY8XGxurIkSOSrl+h2rx5s8LDwyVJx48fV2Jios1kbk9PTzVq1EhbtmyRJG3ZskVeXl7WMCRJoaGhcnBw0NatWwutVgAAcO+6rStE7dq104gRI9S2bVu5urra9F25ckWjRo1Shw4dCq24N998U2lpaapevbpKlCih7OxsjR8/Xl27dpUkJSYmSpJ8fX1ttvP19bX2JSYmqnz58jb9jo6O8vHxsY7JT0ZGhjIyMqzraWlphXJOAACg+LmtQDR8+HB9/fXX+tvf/qaoqChVq1ZNknTo0CHNmjVL2dnZevvttwutuC+++EKLFi3S4sWLVbNmTcXHx2vAgAHy9/dXjx49Cu04+Zk4caLGjBlzV48BAACKh9sKRL6+vvrpp5/Up08fDRs2zPq0l8ViUVhYmGbNmpXnas1fMWTIEL355pvq0qWLJKlWrVo6efKkJk6cqB49esjPz0/S9blNf7xVl5SUpDp16kiS/Pz8lJycbLPfrKwspaSkWLfPz7BhwzRo0CDrelpamgICAgrr1AAAQDFy2y9mDAwM1MqVK3XhwgUdPXpUhmGoatWq8vb2LvTiLl++LAcH22lOJUqUsH5fWlBQkPz8/BQbG2sNQGlpadq6dav69OkjSQoJCVFqaqri4uJUv359Sdffp5STk6NGjRoVeGwXFxe5uLgU+jkBAIDi547eVC1J3t7eevTRRwuzljw6duyo8ePHq2LFiqpZs6Z27dqlKVOm6J///Kek61emBgwYoHHjxqlq1aoKCgrSiBEj5O/vr6efflrS9Tdot23bVr1799acOXN07do1RUVFqUuXLjxhBgAAJP2FQFQUZs6cqREjRujVV19VcnKy/P399fLLL2vkyJHWMW+88YYuXbqkyMhIpaamqmnTplq1apXNpO9FixYpKipKrVu3loODgzp37qwZM2bY45QAAEAxZDH++NpnFCgtLU2enp66ePFivm/qBoAb2blzp+rXr68n3p4nn4rV7F0OUKykJBxWzPiXFBcXp3r16hXqvm/13+87+rZ7AACA+wmBCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmB6BCAAAmF6xD0SnT5/Wiy++qDJlysjNzU21atXSjh07rP2GYWjkyJGqUKGC3NzcFBoaql9++cVmHykpKeratas8PDzk5eWliIgIpaenF/WpAACAYqpYB6ILFy6oSZMmcnJy0vfff68DBw7o/fffl7e3t3XMpEmTNGPGDM2ZM0dbt26Vu7u7wsLCdPXqVeuYrl27av/+/YqJidGKFSu0ceNGRUZG2uOUAABAMeRo7wJu5N1331VAQIDmzZtnbQsKCrL+2TAMTZs2TcOHD9dTTz0lSfrPf/4jX19fLVu2TF26dNHBgwe1atUqbd++XQ0aNJAkzZw5U+3atdPkyZPl7+9ftCcFAACKnWJ9hejbb79VgwYN9Pe//13ly5dX3bp19dFHH1n7jx8/rsTERIWGhlrbPD091ahRI23ZskWStGXLFnl5eVnDkCSFhobKwcFBW7duLfDYGRkZSktLs1kAAMD9qVgHol9//VWzZ89W1apVtXr1avXp00f9+/fXggULJEmJiYmSJF9fX5vtfH19rX2JiYkqX768Tb+jo6N8fHysY/IzceJEeXp6WpeAgIDCPDUAAFCMFOtAlJOTo3r16mnChAmqW7euIiMj1bt3b82ZM+euH3vYsGG6ePGidTl16tRdPyYAALCPYh2IKlSooBo1ati0BQcHKyEhQZLk5+cnSUpKSrIZk5SUZO3z8/NTcnKyTX9WVpZSUlKsY/Lj4uIiDw8PmwUAANyfinUgatKkiQ4fPmzTduTIEQUGBkq6PsHaz89PsbGx1v60tDRt3bpVISEhkqSQkBClpqYqLi7OOmbdunXKyclRo0aNiuAsAABAcVesnzIbOHCgGjdurAkTJui5557Ttm3bNHfuXM2dO1eSZLFYNGDAAI0bN05Vq1ZVUFCQRowYIX9/fz399NOSrl9Ratu2rfVW27Vr1xQVFaUuXbrwhBkAAJBUzAPRo48+qv/+978aNmyYoqOjFRQUpGnTpqlr167WMW+88YYuXbqkyMhIpaamqmnTplq1apVcXV2tYxYtWqSoqCi1bt1aDg4O6ty5s2bMmGGPUwIAAMVQsQ5EktShQwd16NChwH6LxaLo6GhFR0cXOMbHx0eLFy++G+UBAID7QLGeQwQAAFAUCEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD0CEQAAMD07qlA9M4778hisWjAgAHWtqtXr6pv374qU6aMSpUqpc6dOyspKclmu4SEBLVv314lS5ZU+fLlNWTIEGVlZRVx9QAAoLi6ZwLR9u3b9eGHH6p27do27QMHDtTy5cu1dOlSbdiwQWfOnFGnTp2s/dnZ2Wrfvr0yMzP1008/acGCBZo/f75GjhxZ1KcAAACKqXsiEKWnp6tr16766KOP5O3tbW2/ePGiPv74Y02ZMkWtWrVS/fr1NW/ePP3000/6+eefJUlr1qzRgQMH9Omnn6pOnToKDw/X2LFjNWvWLGVmZtrrlAAAQDFyTwSivn37qn379goNDbVpj4uL07Vr12zaq1evrooVK2rLli2SpC1btqhWrVry9fW1jgkLC1NaWpr2799fNCcAAACKNUd7F3Azn3/+uXbu3Knt27fn6UtMTJSzs7O8vLxs2n19fZWYmGgd88cwlNuf21eQjIwMZWRkWNfT0tLu9BQAAEAxV6yvEJ06dUqvvfaaFi1aJFdX1yI99sSJE+Xp6WldAgICivT4AACg6BTrQBQXF6fk5GTVq1dPjo6OcnR01IYNGzRjxgw5OjrK19dXmZmZSk1NtdkuKSlJfn5+kiQ/P788T53lrueOyc+wYcN08eJF63Lq1KnCPTkAAFBsFOtA1Lp1a+3du1fx8fHWpUGDBuratav1z05OToqNjbVuc/jwYSUkJCgkJESSFBISor179yo5Odk6JiYmRh4eHqpRo0aBx3ZxcZGHh4fNAgAA7k/Feg5R6dKl9fDDD9u0ubu7q0yZMtb2iIgIDRo0SD4+PvLw8FC/fv0UEhKixx57TJLUpk0b1ahRQ926ddOkSZOUmJio4cOHq2/fvnJxcSnycwIAAMVPsQ5Et2Lq1KlycHBQ586dlZGRobCwMH3wwQfW/hIlSmjFihXq06ePQkJC5O7urh49eig6OtqOVQMAgOLkngtEP/zwg826q6urZs2apVmzZhW4TWBgoFauXHmXKwMAAPeqYj2HCAAAoCgQiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOkRiAAAgOk52rsASAkJCTp37py9ywCKpbJly6pixYr2LgPAfY5AZGcJCQmqXj1YV65ctncpQLHk5lZShw4dJBQBuKuKfSCaOHGivv76ax06dEhubm5q3Lix3n33XVWrVs065urVqxo8eLA+//xzZWRkKCwsTB988IF8fX2tYxISEtSnTx+tX79epUqVUo8ePTRx4kQ5Otr3R3Du3DlduXJZjf45Sh4VKtm1FqC4STt7Qls/GaNz584RiADcVcU+EG3YsEF9+/bVo48+qqysLL311ltq06aNDhw4IHd3d0nSwIED9d1332np0qXy9PRUVFSUOnXqpB9//FGSlJ2drfbt28vPz08//fSTzp49q+7du8vJyUkTJkyw5+lZeVSoJJ+K1W4+EAAAFLpiH4hWrVplsz5//nyVL19ecXFxatasmS5evKiPP/5YixcvVqtWrSRJ8+bNU3BwsH7++Wc99thjWrNmjQ4cOKC1a9fK19dXderU0dixYzV06FCNHj1azs7O9jg1AABQTNxzT5ldvHhRkuTj4yNJiouL07Vr1xQaGmodU716dVWsWFFbtmyRJG3ZskW1atWyuYUWFhamtLQ07d+/P9/jZGRkKC0tzWYBAAD3p3sqEOXk5GjAgAFq0qSJHn74YUlSYmKinJ2d5eXlZTPW19dXiYmJ1jF/DEO5/bl9+Zk4caI8PT2tS0BAQCGfDQAAKC7uqUDUt29f7du3T59//vldP9awYcN08eJF63Lq1Km7fkwAAGAfxX4OUa6oqCitWLFCGzdu1IMPPmht9/PzU2ZmplJTU22uEiUlJcnPz886Ztu2bTb7S0pKsvblx8XFRS4uLoV8FgAAoDgq9leIDMNQVFSU/vvf/2rdunUKCgqy6a9fv76cnJwUGxtrbTt8+LASEhIUEhIiSQoJCdHevXuVnJxsHRMTEyMPDw/VqFGjaE4EAAAUW8X+ClHfvn21ePFiffPNNypdurR1zo+np6fc3Nzk6empiIgIDRo0SD4+PvLw8FC/fv0UEhKixx57TJLUpk0b1ahRQ926ddOkSZOUmJio4cOHq2/fvlwFAgAAxT8QzZ49W5LUokULm/Z58+apZ8+ekqSpU6fKwcFBnTt3tnkxY64SJUpoxYoV6tOnj0JCQuTu7q4ePXooOjq6qE4DAAAUY8U+EBmGcdMxrq6umjVrlmbNmlXgmMDAQK1cubIwSwMAAPeJYj+HCAAA4G4jEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMzVSCaNWuWKlWqJFdXVzVq1Ejbtm2zd0kAAKAYME0gWrJkiQYNGqRRo0Zp586deuSRRxQWFqbk5GR7lwYAAOzMNIFoypQp6t27t1566SXVqFFDc+bMUcmSJfXJJ5/YuzQAAGBnpghEmZmZiouLU2hoqLXNwcFBoaGh2rJlix0rAwAAxYGjvQsoCufOnVN2drZ8fX1t2n19fXXo0KF8t8nIyFBGRoZ1/eLFi5KktLS0Qq0tPT1dkpRy8rCyMq4U6r6Be11aYoKk65+Twv7sFTU+60DB7uZnPXd/hmHccJwpAtGdmDhxosaMGZOnPSAg4K4cL+7Td+7KfoH7QfPmze1dQqHhsw4U7G5+1n///Xd5enoW2G+KQFS2bFmVKFFCSUlJNu1JSUny8/PLd5thw4Zp0KBB1vWcnBylpKSoTJkyslgsd7Ve2E9aWpoCAgJ06tQpeXh42LscAHcJn3XzMAxDv//+u/z9/W84zhSByNnZWfXr11dsbKyefvppSdcDTmxsrKKiovLdxsXFRS4uLjZtXl5ed7lSFBceHh78RxIwAT7r5nCjK0O5TBGIJGnQoEHq0aOHGjRooIYNG2ratGm6dOmSXnrpJXuXBgAA7Mw0gej555/Xb7/9ppEjRyoxMVF16tTRqlWr8ky0BgAA5mOaQCRJUVFRBd4iA6Trt0pHjRqV53YpgPsLn3X8mcW42XNoAAAA9zlTvJgRAADgRghEAADA9AhEAADA9AhEAADA9AhEAADA9AhEAADA9AhEAADTW7Rokb766it7lwE7IhABAEztjTfe0IgRI3TixIk8XwIO8zDVm6qBW3Hq1CkZhqHMzExVqVLF2m4YhiwWix0rA1DY3n//fc2bN0/fffedGjZsaO9yYEdcIQL+4Ouvv1ZoaKhatmypBg0aqF+/fjpy5IgkEYaA+8ylS5e0adMmDR8+XA0bNtSxY8f01VdfqV27durRo4f+97//2btEFCGuEAH/b8OGDXrxxRc1ZcoUVa9eXRcuXFBkZKQSExP1zjvvqHLlyvYuEUAhcnd3l6Ojoz7//HOVL19e8+bNU3Z2toKCghQbG6s+ffpo+fLl9i4TRYQrRMD/W7NmjVq2bKlXXnlFLVq00DPPPKOYmBitW7dOH3zwgb3LA1BIsrOzrX9+5ZVX5OnpqT59+qhx48aaMGGC/v3vf2vIkCFycHBQZmamHStFUeIKEaDr84POnj2rrKwsSVJOTo6ysrJUp04dTZ8+XYMHD9bAgQP14IMP2rlSAH/F7NmztXnzZmVkZKh27doaOXKkQkNDdebMGfn7+1vHff3116pUqZKcnZ3tWC2KEleIYGopKSm6fPmyLBaLOnbsqA0bNmjt2rVycHCQo+P1/18oVaqUypQpo5IlS9q5WgB/xdChQzVmzBgFBwcrJCRE48ePV6dOnSRJ/v7+unTpkmJjY9WmTRslJydrzpw5kq7/DxPufwQimNayZcv05JNPqk6dOho1apTc3Nz0yiuvqF+/foqJiZGDw/WPx9atW1WyZEkmVQP3sG3btumbb77Rl19+qeHDh6tKlSpydnbWE088YR2za9cuLVmyRKVKldLOnTvl6OiorKwsPvsmwS0zmNLOnTvVs2dPDR48WOfPn9d3332nI0eOqGHDhgoPD1f79u1Vr149OTk5ad++fVq3bp28vb3tXTaAO5Seni6LxaKmTZtq2bJl6tatmyZPnqyXX35Zv//+uzZu3Kj27dvL399flSpVkoODg7KysqxXinH/sxhcC4TJHDt2TJ999pksFovefvttSdLy5cs1Y8YMeXt768UXX5Snp6e+//57+fj46JlnnlHVqlXtXDWAO/HJJ5/o0qVLatasmd588021b99ew4YNs4YhSdq0aZM++OADjR071vrusZycHOtVYpgDgQimkpaWptatWyshIUH//Oc/NXHiRGvf8uXLNXXqVHl7e2vEiBGqU6eO/QoF8JdlZGSoU6dOcnZ21vz589W8eXPt2bNH48eP17BhwyRJV65cUefOneXp6anFixdze8zECEQwnV27dqlLly4qV66cPvzwQ9WsWdPat3LlSr399tuqWbOm5s6dKzc3N/4DCdyDct8sHxcXpxYtWmjt2rVyc3NTSEiIOnTooMcff1zly5fX3LlzlZycbJ0zxJUh8yIQwZT27NmjHj16qGHDhurfv79NKFqzZo2qVaumwMBAO1YIoDCkpaWpV69e8vX11cyZMxUbG6tp06Zp9+7deuihh/TAAw9o/vz5cnJyUnZ2tkqUKGHvkmEnBCKY1q5du9SrVy/Vq1dPAwcOVI0aNexdEoC/aOrUqcrJydHzzz9vfW/YRx99pAEDBmjXrl3629/+pkuXLikjI0MuLi5yd3eXJCZQg0AEc9u1a5deeeUVPfTQQxo1apSqV69u75IA3KErV65ozJgxmjNnjurXr69KlSrpvffeU8mSJdWrVy+VLl1a06dPz/OyRb64GRKBCND27ds1ZMgQffbZZ6pQoYK9ywHwF/3vf//T999/rzlz5ujy5ctq2LChzp8/L0n6/PPPVapUKUIQ8iAQAZKuXr0qV1dXe5cBoJB99NFH2r9/v2bMmCFJGjt2rPV1G8AfEYgAAPedP18B2r59u2bNmqXffvtNn332mTw8POxYHYojAhEAwBS2bt2q5s2ba82aNWrWrJm9y0Exw8sWAAD3PcMw1KhRI9WtW1cnTpywdzkohghEAID7nsVi0dy5c7V161Y1adLE3uWgGOKWGQDAFI4dO6aMjAzeOYZ8EYgAAIDpccsMAACYHoEIAACYHoEIAACYHoEIAACYHoEIAACYHoEIwF8yf/58eXl53dY2PXv21NNPP31X6inK448ePVp16tT5y/spyIkTJ2SxWBQfHy9J+uGHH2SxWJSamnrXjgmYFYEIQIEKCg5//If5+eef15EjR4q+uGLg9ddfV2xsbJEdr3Hjxjp79qw8PT1veZtKlSpp2rRpd68o4D7haO8CANzb3Nzc5ObmZu8yipRhGMrOzlapUqVUqlSpIjuus7Oz/Pz8iux4gJlwhQjAX5LfLbNx48apfPnyKl26tHr16qU333wz31tLkydPVoUKFVSmTBn17dtX165du6VjZmRkaOjQoQoICJCLi4uqVKmijz/+WJKUnZ2tiIgIBQUFyc3NTdWqVdP06dNvur/+/furfPnycnV1VdOmTbV9+3Zrf+4Vse+//17169eXi4uLNm/enO8ts3//+98KDg6Wq6urqlevrg8++OCWzkmStm3bprp168rV1VUNGjTQrl27bPrzu2W2efNmPf7443Jzc1NAQID69++vS5cuSZJatGihkydPauDAgbJYLDbf/g7AFoEIQKFatGiRxo8fr3fffVdxcXGqWLGiZs+enWfc+vXrdezYMa1fv14LFizQ/PnzNX/+/Fs6Rvfu3fXZZ59pxowZOnjwoD788EPrlZqcnBw9+OCDWrp0qQ4cOKCRI0fqrbfe0hdffFHg/t544w199dVXWrBggXbu3KkqVaooLCxMKSkpNuPefPNNvfPOOzp48KBq166d77mPHDlS48eP18GDBzVhwgSNGDFCCxYsuOk5paenq0OHDqpRo4bi4uI0evRovf766zfc5tixY2rbtq06d+6sPXv2aMmSJdq8ebOioqIkSV9//bUefPBBRUdH6+zZszp79uxN6wBMywCAAvTo0cMoUaKE4e7ubrO4uroakowLFy4Y8+bNMzw9Pa3bNGrUyOjbt6/Nfpo0aWI88sgjNvsNDAw0srKyrG1///vfjeeff/6mNR0+fNiQZMTExNzyefTt29fo3LmzzfGfeuopwzAMIz093XBycjIWLVpk7c/MzDT8/f2NSZMmGYZhGOvXrzckGcuWLbPZ76hRo2zOq3LlysbixYttxowdO9YICQm5aY0ffvihUaZMGePKlSvWttmzZxuSjF27dtnUceHCBcMwDCMiIsKIjIy02c+mTZsMBwcH634CAwONqVOn3vT4gNkxhwjADbVs2TLPFZ6tW7fqxRdfzHf84cOH9eqrr9q0NWzYUOvWrbNpq1mzpkqUKGFdr1Chgvbu3XvTeuLj41WiRAk1b968wDGzZs3SJ598ooSEBF25ckWZmZkFPg127NgxXbt2zeYb0J2cnNSwYUMdPHjQZmyDBg0KPOalS5d07NgxRUREqHfv3tb2rKysW5oEnXvVydXV1doWEhJyw212796tPXv2aNGiRdY2wzCUk5Oj48ePKzg4+KbHBXAdgQjADbm7u6tKlSo2bf/73//+8n6dnJxs1i0Wi3Jycm663c0mcH/++ed6/fXX9f777yskJESlS5fWe++9p61bt/6leqXrP4uCpKenS5I++ugjNWrUyKbvj8GvMKWnp+vll19W//798/RVrFjxrhwTuF8RiAAUqmrVqmn79u3q3r27te2PE5T/qlq1aiknJ0cbNmxQaGhonv4ff/xRjRs3trlKdezYsQL3V7lyZTk7O+vHH39UYGCgJOnatWvavn27BgwYcMt1+fr6yt/fX7/++qu6du166yf0/4KDg7Vw4UJdvXrVepXo559/vuE29erV04EDB/IE1j9ydnZWdnb2bdcDmA2TqgEUqn79+unjjz/WggUL9Msvv2jcuHHas2dPoT3hVKlSJfXo0UP//Oc/tWzZMh0/flw//PCDddJ01apVtWPHDq1evVpHjhzRiBEjbhjI3N3d1adPHw0ZMkSrVq3SgQMH1Lt3b12+fFkRERG3VduYMWM0ceJEzZgxQ0eOHNHevXs1b948TZky5abbvvDCC7JYLOrdu7cOHDiglStXavLkyTfcZujQofrpp58UFRWl+Ph4/fLLL/rmm2+sk6ql6z+vjRs36vTp0zp37txtnQ9gJgQiAIWqa9euGjZsmF5//XXVq1dPx48fV8+ePW3mxvxVs2fP1rPPPqtXX31V1atXV+/eva2Pmr/88svq1KmTnn/+eTVq1Ejnz5/PM6fpz9555x117txZ3bp1U7169XT06FGtXr1a3t7et1VXr1699O9//1vz5s1TrVq11Lx5c82fP19BQUE33bZUqVJavny59u7dq7p16+rtt9/Wu+++e8NtateurQ0bNujIkSN6/PHHVbduXY0cOVL+/v7WMdHR0Tpx4oQqV66scuXK3db5AGZiMQzDsHcRAO5vTzzxhPz8/LRw4UJ7lwIA+WIOEYBCdfnyZc2ZM0dhYWEqUaKEPvvsM61du1YxMTH2Lg0ACsQtMwCFymKxaOXKlWrWrJnq16+v5cuX66uvvsp3AnR+Nm3aZP1KjPyWe9WECRMKPKfw8HB7lweYHrfMABQrV65c0enTpwvsv9ETVcVZSkpKnjdf53Jzc9MDDzxQxBUB+CMCEQAAMD1umQEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANP7P9WKYKyi0pTpAAAAAElFTkSuQmCC",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "for feature in string_features + bool_feature + class_feature:\n",
        "    plt.figure()\n",
        "    sns.histplot(data[feature], kde=False, shrink=0.8)\n",
        "    plt.title(f'Distribution of {feature}')\n",
        "    plt.xticks(rotation=45)\n",
        "    plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 61,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 619
        },
        "id": "WOJa_jhGCCrl",
        "outputId": "6cfeb723-ff97-487f-c34f-71d293ad9245"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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+PJcuXaJ27dra/cOGDePdd9/NM56JiQkVKlQAoGzZstjZ2eXY9tGjR6xdu5ZKlSoB8Pnnn9OqVSvmzJmDnZ0d48ePZ86cOdrzVqlShUuXLrF06VJ69OhR4L4BLFiwgMDAQD7++GMAqlevzuHDh9mzZ0+Ox+TVj/LlywNQrly5XK8XIC0tjbQ03cnrMzSZGKuUX2xBCCGEEMqS5Fhhfn5+hIeHk5qayrx58zAyMqJ9+/ZcvHiRBw8e0KJFC5326enp1KtXD4D4+HgaNGig83zDhg1fuE9Xrlxh3LhxHDt2jL///ls7YpyUlKSTHHt5eb3wuf7L0dFRmxgDNGnSBLVaTXx8PNbW1iQkJNC7d2/69u2rbfP48WNsbGx04hSkb3FxcbRr105nX5MmTXJMjlNTU/Pdj/wICwtj4sSJOvtaWdchqJR7gWMJIYQQiiuhN9IpRZJjhVlaWuLs7Aw8GaH18PBg5cqV2iR0586dOskiPKlTzi8DAwM0Gt2lWTMyMnI9JigoiMqVK7N8+XIqVqyIWq2mdu3apKenZ+l7YUpJebKE6fLly2nUqJHOc4aGuqOs+uxbQfqRH2PGjGHEiBE6+9a69Xv+DgohhBBKKqHlEEqR5FiPDAwM+OSTTxgxYgSXL1/G1NSUpKQkfHx8sm3v6urKrl27dPadOHFC53H58uW5fv06Go0GlUoFkOv0Yrdu3SI+Pp7ly5fTrFkzAKKjo1/gqgomKSmJP//8UzujxdGjRzEwMMDV1RVbW1sqVqzIL7/8QteuXRU7p5ubG8eOHdPZd/To0Rzb56cfT+vGMzPzvvnA1NQ0yxseKakQQghRbKhL5o10SpHkWM86duzIyJEjWbp0KaGhoQwfPhy1Ws0bb7zBvXv3iImJoVSpUvTo0YN+/foxd+5cRo0aRe/evYmNjSUiIgJAmwj7+vry119/MXPmTDp06MCePXvYvXs3pUqVyvb8ZcqUoVy5cixbtgx7e3uSkpIYPXp0YV0+ZmZm9OjRg9mzZ/PPP/8wZMgQOnXqpK3bnThxIkOGDMHGxobAwEDS0tI4efIkd+7cyTL6ml9DhgzB29ub2bNn06ZNG/bu3ZtrvXF++lGhQgXMzc3Zs2cPr7/+OmZmZs9VciGEEEKI4k1mq9AzIyMjQkJCmDlzJmPGjGHs2LGEhYXh5uZGYGAgO3fu1E4TVqVKFb799lu2bNmCu7s74eHh2tkqno5Eurm5sXjxYr744gs8PDw4fvw4oaGhOZ7fwMCADRs2cOrUKWrXrs3w4cO1N/wVBmdnZ959911atmzJ//3f/+Hu7q4zRVqfPn1YsWIFq1evpk6dOvj4+BAREaF9TZ5H48aNWb58OQsWLMDDw4MffviBzz77LNdj8uqHkZERCxcuZOnSpVSsWJE2bdo8d/+EEEKIIiWzVeRKpflvAasoVqZOncqSJUv47bffiror4gUsff0DxWP2ip2kaLwFnuMUjQfwj4Hyv15ukJ53owKqrs5/3X9+nVSlKB7TQaX8IjtlNMqX/KSh/Nf9D5WyX/dKGhNF4wHUTVP+un8zVn4Mq4lG+e/NrUYWisfUx8/6ttvnFI/5U3kXxWPWTNipeMxnPTq6UbFYZo07KxaruJCyimJm8eLFNGjQgHLlyhETE8OsWbMICQkp6m4JIYQQQrwSpKyimLly5Qpt2rShZs2aTJ48mY8++ogJEyYUej/efvtt7RLL/92mTZtW6P15WfomhBBCFHtSVpErGTkuZubNm8e8efOKuhusWLGChw8fZvtc2bJlC7k3uopz34QQQohiT+Y5zpUkxyJb/52LuTgpzn0TQgghxMtNkmMhCsEvRsrPKan0DXRDTyt7gx9ATK1Risc8Yqb8zXMN0tPyblRAN82Uv3kuQw83uiWrcl9E6Hk0T1P+T4uvwgNd+82Vfy0tNcr/nG9QX1c85geNlR81vHpS8ZDUxUrxmBNsXnzV2f+q1Fz5r5HeychxriQ5FkIIIYR4hWj08EauJJEb8oQQQgghhPiXXpJjlUrFtm3b9BG60Pn6+jJs2LAXjhMVFYVKpeLu3bsvHOupCRMmYGtrq/fXe8KECdStW1f7ODg4mLZt2+oldnaU+hoIIYQQgidlFUptJVCByiqCg4NZs2bNkwONjChbtizu7u506dKF4OBgDAye5NrJycmUKVNG+d7qUVRUFH5+fty5c4fSpUtr92/ZsgVjY+MXjt+0aVOSk5MVW3I4Li6OiRMnsnXrVho3bqzX1zs0NJTBgwfrLX5eCvI18PX1pW7dusyfP1+/nRJCCCFeViV0CjalFLjmODAwkNWrV5OZmcmNGzfYs2cPQ4cO5dtvv2X79u0YGRlhZ2enj74WCaWmBjMxMVH0dUlISACgTZs2qFQqxeJm5+kcwkWlKKZnS09Px8RE+RW0hBBCiCJXQkd8lVLgsgpTU1Ps7OyoVKkSnp6efPLJJ3z33Xfs3r2biIgIIGtZxahRo6hevToWFhZUrVqVsWPHkpGhe4f0lClTqFChAtbW1vTp04fRo0dn+1H+7Nmzsbe3p1y5cgwaNEgnzp07d+jevTtlypTBwsKCt99+mytXrmif//XXXwkKCqJMmTJYWlpSq1Ytdu3aRWJiIn5+fgCUKVMGlUpFcHAwkPUj/bS0NEaNGoWDgwOmpqY4OzuzcuXKPF+3/5ZVREREULp0afbu3YubmxtWVlYEBgaSnJycZ6wJEyYQFBQEgIGBgTY5PnHiBC1atOC1117DxsYGHx8fTp8+rXOsSqVi6dKltG7dGgsLC9zc3Dhy5AhXr17F19cXS0tLmjZtqk2+n54vp9KHtWvXUq5cOdLSdO/2b9u2Ld26dcvzWp5at24dTk5O2NjY8N5773H//n3tc//9GixevBgXFxfMzMywtbWlQ4cOwJPvkYMHD7JgwQJUKhUqlYrExEQADh48SMOGDTE1NcXe3p7Ro0fz+PFjnXOEhIQwbNgwXnvtNQICAujVqxetW7fW6WdGRgYVKlTI19dcCCGEEC8fRWqO33zzTTw8PNiyZUu2z1tbWxMREcGlS5dYsGABy5cv11noYv369UydOpUZM2Zw6tQpHB0dCQ8PzxLnwIEDJCQkcODAAdasWUNERIQ2IYcnydHJkyfZvn07R44cQaPR0LJlS20CPWjQINLS0vjpp584f/48M2bMwMrKCgcHBzZv3gxAfHw8ycnJLFiwINtr6d69O19//TULFy4kLi6OpUuXPveo6oMHD5g9ezbr1q3jp59+IikpidDQ0DyPCw0NZfXq1cCTEpanCfX9+/fp0aMH0dHRHD16FBcXF1q2bKmTaAJMnjyZ7t27ExsbS40aNXj//ffp168fY8aM4eTJk2g0mnwvWd2xY0cyMzPZvn27dt/NmzfZuXMnvXr1yleMhIQEtm3bxo4dO9ixYwcHDx5k+vTp2bY9efIkQ4YMYdKkScTHx7Nnzx6aN28OwIIFC2jSpAl9+/bVvi4ODg788ccftGzZkgYNGnD27FnCw8NZuXIlU6ZM0Ym9Zs0aTExMiImJYcmSJfTp04c9e/bovGHZsWMHDx48oHPnkreWvBBCiFeErJCXK8WmcqtRowbnzp3L9rnPPvtM+38nJydCQ0PZsGEDH3/8MQCff/45vXv3pmfPngCMGzeOH374gZSUFJ04ZcqUYdGiRRgaGlKjRg1atWpFZGQkffv25cqVK2zfvp2YmBiaNm0KPEm6HRwc2LZtGx07diQpKYn27dtTp04dAKpWraqN/fSj+woVKujUHD/r8uXLbNq0iX379uHv758lRkFlZGSwZMkSqlWrBkBISAiTJuU916yVlZW2j8+Warz55ps67ZYtW0bp0qU5ePCgzghoz5496dSpE/BkVL9JkyaMHTuWgIAAAIYOHar9WuTF3Nyc999/n9WrV9OxY0cAvvzySxwdHfH19c1XDLVaTUREBNbW1gB069aNyMhIpk6dmqVtUlISlpaWtG7dGmtraypXrky9evUAsLGxwcTEBAsLC53XZfHixTg4OLBo0SJUKhU1atTgzz//ZNSoUYwbN05bK+/i4sLMmTN1zufq6sq6deu036tPrzO3N0RpaWlZRtIfazIxUhnm6/UQQggh9KoIyyq++OILZs2axfXr1/Hw8ODzzz+nYcOc55+eP38+4eHhJCUl8dprr9GhQwfCwsIwMzPTWx8Vm61Co9HkWPu6ceNGvL29sbOzw8rKis8++4ykpCTt8/Hx8VlemOxeqFq1amFo+L8Ew97enps3bwJPblAzMjKiUaNG2ufLlSuHq6srcXFxAAwZMoQpU6bg7e3N+PHjc0zmcxIbG4uhoSE+Pj4FOi4nFhYW2sQYdK/nedy4cYO+ffvi4uKCjY0NpUqVIiUlRee1BnB3d9f+39bWFkD7huHpvkePHvHPP//k67x9+/blhx9+4I8//gCelIwEBwfnuxbayclJmxhD7q9DixYtqFy5MlWrVqVbt26sX7+eBw8e5Bo/Li6OJk2a6PTH29ublJQUfv/9d+2++vXrZzm2T58+2lH6GzdusHv37jxHxMPCwrCxsdHZjt67lOsxQgghREm3ceNGRowYwfjx4zl9+jQeHh4EBATk+Df/q6++YvTo0YwfP564uDhWrlzJxo0b+eSTT/TaT8WS47i4OKpUqZJl/5EjR+jatSstW7Zkx44dnDlzhk8//ZT09PQCn+O/MxaoVCrUBXj306dPH3755Re6devG+fPn8fLy4vPPP8/38ebmyq54ld31aDTPv2pTjx49iI2NZcGCBRw+fJjY2FjKlSuX5bV+9rxPE8bs9uX3ta1Xrx4eHh6sXbuWU6dOcfHiRW3Ndn4U5OtqbW3N6dOn+frrr7G3t2fcuHF4eHgoMkWepaVlln3du3fnl19+4ciRI3z55ZdUqVKFZs2a5RpnzJgx3Lt3T2drbFPzhfsnhBBCKELBsoq0tDT++ecfne2/n54+NXfuXPr27UvPnj2pWbMmS5YswcLCglWrVmXb/vDhw3h7e/P+++/j5OTE//3f/9GlSxeOHz+uz1dHmeT4xx9/5Pz587Rv3z7Lc4cPH6Zy5cp8+umneHl54eLiwq+//qrTxtXVlRMnTujs++/jvLi5ufH48WOOHTum3Xfr1i3i4+OpWfN/iYmDgwP9+/dny5YtfPTRRyxfvhxAOzNBZmbOq8bUqVMHtVrNwYMHC9S3whITE8OQIUNo2bIltWrVwtTUlL///rtQzt2nTx8iIiJYvXo1/v7+ODg46O1cRkZG+Pv7M3PmTM6dO0diYiI//vgj8OTr+N+v4dObDp994xETE4O1tTWvv/56rucqV64cbdu2ZfXq1UREROSr3MTU1JRSpUrpbFJSIYQQothQcJ7j7D4tDQsLy3LK9PR0Tp06pS1LhSeTCvj7+3PkyJFsu9m0aVNOnTqlTYZ/+eUXdu3aRcuWLfXzuvyrwDXHaWlpXL9+XWcqt7CwMFq3bk337t2ztHdxcSEpKYkNGzbQoEEDdu7cydatW3XaDB48mL59++Ll5UXTpk3ZuHEj586dK1A9r4uLC23atKFv374sXboUa2trRo8eTaVKlWjTpg0Aw4YN4+2336Z69ercuXOHAwcO4ObmBkDlypVRqVTs2LGDli1bYm5unqWu1MnJiR49etCrVy8WLlyIh4cHv/76Kzdv3tTW8BYlFxcX1q1bh5eXF//88w8jR45UfLQ7J++//z6hoaEsX76ctWvX6u08O3bs4JdffqF58+aUKVOGXbt2oVarcXV1BZ58jY4dO0ZiYiJWVlaULVuWgQMHMn/+fAYPHkxISAjx8fGMHz+eESNGaOuNc9OnTx9at25NZmYmPXr00Nu1CSGEEC+bMWPGMGLECJ19pqamWdr9/fffZGZmass5n7K1teXnn3/ONvb777/P33//zRtvvIFGo+Hx48f079+/+JVV7NmzB3t7e5ycnAgMDOTAgQMsXLiQ7777Tqce+Kl33nmH4cOHExISQt26dTl8+DBjx47VadO1a1fGjBlDaGgonp6eXLt2jeDg4AIXW69evZr69evTunVrmjRpgkajYdeuXdqP7TMzMxk0aBBubm4EBgZSvXp1Fi9eDEClSpWYOHEio0ePxtbWNsfZGsLDw+nQoQMDBw6kRo0a9O3bl9TU1AL1U19WrlzJnTt38PT0pFu3bgwZMoQKFSoUyrltbGxo3749VlZWiq2el53SpUuzZcsW3nzzTdzc3FiyZAlff/01tWrVAp7M5GFoaEjNmjUpX748SUlJVKpUiV27dnH8+HE8PDzo378/vXv31rlRNDf+/v7Y29sTEBBAxYoV9XZtQgghRKFQcOQ4u09Ls0uOn0dUVBTTpk1j8eLFnD59mi1btrBz504mT56sSPycqDQvUuSqRy1atMDOzo5169YVdVdEPr311lvUqlWLhQsXFnVXFJWSkkKlSpVYvXo177777nPFGOXUReFeQXm1sqUaQ0/nPVNKQcXUGqV4zCNmyvzSfZZ3DvVxL2KnmWKTAWlloPyv68d6iNk8Tflrf01d8PtUcrPf/MVXPv0vn4c5l+U9rwlGfykec0dj5Wcq6H+ytOIx66L84lPWepikoZv/dcVj2qzer3jMZz3cMVexWOatR+TdiCdlFRYWFnz77bc6g2g9evTg7t27fPfdd1mOadasGY0bN2bWrFnafV9++SUffvghKSkp+fr093noJ2oBPXjwgLlz53Lx4kV+/vlnxo8fz/79++Uj7JfEnTt32Lp1K1FRUQwaNKiou6MYtVrNzZs3mTx5MqVLl+add94p6i4JIYQQLyUTExPq169PZGSkdp9arSYyMpImTZpke8yDBw+yJMBPqxT0Obar/Nv756BSqdi1axdTp07l0aNHuLq6snnzZp2i7eKuf//+fPnll9k+98EHH7BkyZICxcttHt3du3fnOWNCYapXrx537txhxowZ2trfp2rVqpXlBsynli5dSteuXQuji88lKSmJKlWq8PrrrxMREYGRUbH4cRFCCCFeTBHNczxixAh69OiBl5cXDRs2ZP78+aSmpmpvdu/evTuVKlXS3tAXFBTE3LlzqVevHo0aNeLq1auMHTuWoKCgbEt5lVIs/tqbm5uzf79+P0LQt0mTJuW4ul2pUqUKHC82NjbH5ypVqlTgePr0dInm7OzatSvLUuFP/bcov7hxcnLS6ztTIYQQokgU0cp2nTt35q+//mLcuHFcv36dunXrsmfPHm0+kJSUpDNS/Nlnn6FSqfjss8/4448/KF++PEFBQdkuEqakYpEclwQVKlRQ9OY3Z2dnxWIVpcqVKxd1F4QQQgjxrCJcIS8kJCTHSQ+ioqJ0HhsZGTF+/HjGjx9fCD175ryFejYhXlH6uJHqHwNlY+rj5jnvizMUj3m0/jjFY14xUv4mv980ys9iUwsLxWOm5W8hywK5Z6h8UAuFb0B9gPLJwX5z5W/jUWco/7vj99PWeTcqoFRN9p8Qvoh8LrJaICl6uNPq2o/K/1zWVTyiKAhJjoUQQgghXiVFVFbxspDkWAghhBDiVVKEZRUvg2IxlZsQQgghhBDFgSTHxUhERASlS5cu0DHBwcF6XZGusM4/YcIE6tat+8JxcpKYmIhKpdLOAhIVFYVKpeLu3bt6O6cQQghRLCm4Ql5JJMlxIckpiXw2SevcuTOXL18u/M4VA6GhoToTg+tb06ZNSU5OxsbGJt/HODk5MX/+fP11SgghhCgMGo1yWwkkNcfFiLm5Oebm5kXdjUKl0WjIzMzEysoq14VPlGZiYoKdnV2hnU8IIYQQLwcZOS5GsiurmDJlChUqVMDa2po+ffowevTobMsPZs+ejb29PeXKlWPQoEE5LrzxX2lpaYwaNQoHBwdMTU1xdnZm5cqVAGRmZtK7d2+qVKmCubk5rq6uLFiwIM94Q4YMoUKFCpiZmfHGG29w4sQJ7fNPR8p3795N/fr1MTU1JTo6OtuyihUrVuDm5oaZmRk1atRg8eLF+bomgOPHj1OvXj3MzMzw8vLizJkzOs9nV1YRHR1Ns2bNMDc3x8HBgSFDhpCa+mQ6Ll9fX3799VeGDx+OSqVCpY85hoQQQojCIGUVuZLkuBhbv349U6dOZcaMGZw6dQpHR0fCw8OztDtw4AAJCQkcOHCANWvWEBERQURERL7O0b17d77++msWLlxIXFwcS5cu1Y7gqtVqXn/9db755hsuXbrEuHHj+OSTT9i0aVOO8T7++GM2b97MmjVrOH36NM7OzgQEBHD79m2ddqNHj2b69OnExcXh7u6e7bWPGzeOqVOnEhcXx7Rp0xg7dixr1qzJ85pSUlJo3bo1NWvW5NSpU0yYMCHH1QufSkhIIDAwkPbt23Pu3Dk2btxIdHS0dqLyLVu28PrrrzNp0iSSk5NJTk7Osx9CCCFEsSTJca6krKIQ7dixI0vpQGZmZo7tP//8c3r37q1dc3zcuHH88MMPpKSk6LQrU6YMixYtwtDQkBo1atCqVSsiIyPp27dvrv25fPkymzZtYt++ffj7+wNQtWpV7fPGxsZMnDhR+7hKlSocOXKETZs20alTpyzxUlNTCQ8PJyIigrfffhuA5cuXs2/fPlauXMnIkSO1bSdNmkSLFi1y7Nv48eOZM2cO7777rvbcly5dYunSpfTo0SPX6/rqq69Qq9WsXLkSMzMzatWqxe+//86AAQNyPCYsLIyuXbsybNgwAFxcXFi4cCE+Pj6Eh4dTtmxZDA0Nsba2zrMcIy0tjbS0NJ19jzWZGKn0tw68EEIIIZQhI8eFyM/Pj9jYWJ1txYoVObaPj4+nYcOGOvv++xigVq1aGBr+L/Gyt7fn5s2befYnNjYWQ0NDfHx8cmzzxRdfUL9+fcqXL4+VlRXLli0jKSkp27YJCQlkZGTg7e2t3WdsbEzDhg2Ji4vTaevl5ZXjOVNTU0lISKB3797aWmQrKyumTJlCQkJCntf1dDTazMxMu69Jkya5HnP27FkiIiJ0zhcQEIBarebatWt5nvNZYWFh2NjY6Gwn7sXlfaAQQghRGDRq5bYSSEaOC5GlpSXOzs46+37//fcXjmtsbKzzWKVSoc7HRx153fy3YcMGQkNDmTNnDk2aNMHa2ppZs2Zx7NixF+ovPHktcvJ0ZHz58uU0atRI57ln3wQoKSUlhX79+jFkyJAszzk6OhYo1pgxYxgxYoTOvs/q9H6h/gkhhBCKKaHlEEqR5LgYc3V15cSJE3Tv3l2779mb215UnTp1UKvVHDx4UFtW8ayYmBiaNm3KwIEDtftyG7mtVq0aJiYmxMTEULlyZQAyMjI4ceKEtlwhP2xtbalYsSK//PILXbt2zf8F/cvNzY1169bx6NEj7ejx0aNHcz3G09OTS5cuZXnz8iwTE5Ncy2CeMjU1xdTUVGeflFQIIYQoNkroFGxKkbKKYmzw4MGsXLmSNWvWcOXKFaZMmcK5c+cUmynBycmJHj160KtXL7Zt28a1a9eIiorS3nDn4uLCyZMn2bt3L5cvX2bs2LG5JueWlpYMGDCAkSNHsmfPHi5dukTfvn158OABvXsXbOR04sSJhIWFsXDhQi5fvsz58+dZvXo1c+fOzfPY999/H5VKRd++fbl06RK7du1i9uzZuR4zatQoDh8+TEhICLGxsVy5coXvvvtOe0MePHm9fvrpJ/744w/+/vvvAl2PEEIIIV4OkhwXY127dmXMmDGEhobi6enJtWvXCA4O1qmlfVHh4eF06NCBgQMHUqNGDfr27audvqxfv368++67dO7cmUaNGnHr1i2dUeTsTJ8+nfbt29OtWzc8PT25evUqe/fupUyZMgXqV58+fVixYgWrV6+mTp06+Pj4EBERQZUqVfI81srKiu+//57z589Tr149Pv30U2bMmJHrMe7u7hw8eJDLly/TrFkz6tWrx7hx46hYsaK2zaRJk0hMTKRatWqUL1++QNcjhBBCFBsyW0WuVBqNjK2/TFq0aIGdnR3r1q0r6q6IAhjh9J7iMa1QtlTjzYfpisYD8L6Y+5uS5zGn/jjFY5bPu1qmwCINUxWPWQsLxWOm6WHK7sqPlQ9qn/FY0Xj79bDekjHKX/dPGdcVj7nMRPkFl8ZkKp8kvaEq2KBKUQnkH8Vj1v11u+Ixn/VwZe7TmxaEee/cP5l9GUnNcTH24MEDlixZQkBAAIaGhnz99dfs37+fffv2FXXXhBBCCCFKJCmrKMZUKhW7du2iefPm1K9fn++//57Nmzdne/Ncdg4dOqQzNdl/t5fVtGnTcrymp/MrCyGEECIHMpVbrmTkuBgzNzdn//79z328l5cXsbGxynWomOjfv3+2i5BA3tPTCSGEEK86jVoqanMjNcdCFILZjh8oHvOKQVrejQrASWOad6MC0kM5Kx+dmqR4zE6eQxWP6aUqpXjMDMUjwmOV8n8CMlA+ZhlN8Z8O8Y5K+eL1f1A+pj5+Lmtnmiges9c3QYrHnNlZ+VreRJWyv4sBViV+q3jMZz1YNlyxWBYfzlMsVnEhI8dCCCGEEK+SEjrLhFIkORZCCCGEeJWU0FphpcgNeUIIIYQQQvxLkuN8mDBhAnXr1i3qbuhNVFQUKpWKu3fvFnVXXlhERASlS5cu0DFOTk7Mnz9f+1ilUrFt2zZF+yWEEEIUG2qNclsJVOKS47/++osBAwbg6OiIqakpdnZ2BAQEEBMTU9Rd0/E8SZzQjxMnTvDhhx8WdTeEEEKIwiEr5OWqxNUct2/fnvT0dNasWUPVqlW5ceMGkZGR3Lp1q6i7phcajYbMzEyMjF6+L2Vx6bssBS2EEOKVUkKTWqWUqJHju3fvcujQIWbMmIGfnx+VK1emYcOGjBkzhnfeeUfbpk+fPpQvX55SpUrx5ptvcvbsWZ0406dPx9bWFmtra3r37s2jR4+ynGvFihW4ublhZmZGjRo1WLx4sfa5xMREVCoVW7Zswc/PDwsLCzw8PDhy5AjwpIyhZ8+e3Lt3D5VKhUqlYsKECQCsW7cOLy8vrK2tsbOz4/333+fmzZva2E9LIHbv3k39+vUxNTXlyy+/xMDAgJMnT+r0cf78+VSuXBl1Pn8ITp06hZeXFxYWFjRt2pT4+Hid58PDw6lWrRomJia4urrqLGH99JqfnVf57t27qFQqoqKicux7dHQ0Z8+exc/PD2tra0qVKkX9+vWzXEtOIiIicHR0xMLCgnbt2mV5E5SQkECbNm2wtbXFysqKBg0aZJk7+r9lFc968803CQkJ0dn3119/YWJiQmRkZL76KIQQQoiXR4lKjp+ukrZt2zbS0rKfd7Bjx47cvHmT3bt3c+rUKTw9PXnrrbe4ffs2AJs2bWLChAlMmzaNkydPYm9vr5P4Aqxfv55x48YxdepU4uLimDZtGmPHjmXNmjU67T799FNCQ0OJjY2levXqdOnShcePH9O0aVPmz59PqVKlSE5OJjk5mdDQJ+ucZ2RkMHnyZM6ePcu2bdtITEwkODg4y3WMHj2a6dOnExcXxzvvvIO/vz+rV6/WabN69WqCg4MxMMjfl/nTTz9lzpw5nDx5EiMjI3r16qV9buvWrQwdOpSPPvqICxcu0K9fP3r27MmBAwfyFTunvru7u9O1a1def/11Tpw4walTpxg9ejTGxsZ5xjl27Bi9e/cmJCSE2NhY/Pz8mDJlik6blJQUWrZsSWRkJGfOnCEwMJCgoCCSkpLy1dc+ffrw1Vdf6Xw/ffnll1SqVIk333yzYBcuhBBCFAcajXJbCfTyfRafCyMjIyIiIujbty9LlizB09MTHx8f3nvvPdzd3YmOjub48ePcvHkTU9MnCx7Mnj2bbdu28e233/Lhhx8yf/58evfuTe/evQGYMmUK+/fv1xk9Hj9+PHPmzOHdd98FoEqVKly6dImlS5fSo0cPbbvQ0FBatWoFwMSJE6lVqxZXr16lRo0a2NjYoFKpsLOz07mGZxPSqlWrsnDhQho0aEBKSorOks+TJk2iRYsW2sd9+vShf//+zJ07F1NTU06fPs358+f57rvv8v36TZ06FR8fH+BJAtuqVSsePXqEmZkZs2fPJjg4mIEDBwIwYsQIjh49yuzZs/Hz88v3ObLre1JSEiNHjqRGjRoAuLi45CvOggULCAwM5OOPPwagevXqHD58mD179mjbeHh44OHhoX08efJktm7dyvbt27OMCGfn3XffJSQkhO+++067Kl9ERATBwcGoVNlPpZ+WlpblzdljTSZGquK/iIEQQohXgJRV5KpEjRzDk5rjP//8k+3btxMYGEhUVBSenp5ERERw9uxZUlJSKFeunHaU2crKimvXrpGQkABAXFwcjRo10onZpEkT7f9TU1NJSEigd+/eOjGmTJmijfGUu7u79v/29vYAOiUS2Tl16hRBQUE4OjpibW2tTVb/O9Lp5eWl87ht27YYGhqydetW4EkC5+fnh5OTU14vWb76GxcXh7e3t057b29v4uLi8h0/p76PGDGCPn364O/vz/Tp07O8jjnJ62sFT0aOQ0NDcXNzo3Tp0lhZWREXF5fvkWMzMzO6devGqlWrADh9+jQXLlzIdjT/qbCwMGxsbHS2H/+5mK/zCSGEEKJolbjkGJ4kNC1atGDs2LEcPnyY4OBgxo8fT0pKCvb29sTGxups8fHxjBw5Ml+xU1JSAFi+fLlOjAsXLnD06FGdts+WBjwdZcyt/jc1NZWAgABKlSrF+vXrOXHihDbZTU9P12lraWmp89jExITu3buzevVq0tPT+eqrr3RGofOjoP191tPSjWdXI8/IyH6x2//2fcKECVy8eJFWrVrx448/UrNmTe11v6jQ0FC2bt3KtGnTOHToELGxsdSpUyfL65mbPn36sG/fPn7//XdWr17Nm2++SeXKlXNsP2bMGO7du6ezvVmqlhKXI4QQQrw4mcotVyWqrCInNWvWZNu2bXh6enL9+nWMjIxyHFF1c3Pj2LFjdO/eXbvv2aTX1taWihUr8ssvv9C1a9fn7pOJiQmZmZk6+37++Wdu3brF9OnTcXBwAMj3jWnwJImrXbs2ixcv5vHjx9qyDyW4ubkRExOjUzYSExNDzZo1gf/N+JCcnEy9evUAdG7Oy0v16tWpXr06w4cPp0uXLqxevZp27drl2adjx47p7PvvG5SYmBiCg4O1sVJSUkhMTMx3vwDq1KmDl5cXy5cv56uvvmLRokW5tjc1NdWW7TwlJRVCCCGKDVkhL1clKjm+desWHTt2pFevXri7u2Ntbc3JkyeZOXMmbdq0wd/fnyZNmtC2bVtmzpxJ9erV+fPPP9m5cyft2rXDy8uLoUOHEhwcjJeXF97e3qxfv56LFy9StWpV7XkmTpzIkCFDsLGxITAwkLS0NE6ePMmdO3cYMWJEvvrq5ORESkoKkZGReHh4YGFhgaOjIyYmJnz++ef079+fCxcuMHny5Hxfv5ubG40bN2bUqFH06tULc3PzAr+GORk5ciSdOnWiXr16+Pv78/3337NlyxbtzA/m5uY0btyY6dOnU6VKFW7evMlnn32WZ9yHDx8ycuRIOnToQJUqVfj99985ceIE7du3z/PYIUOG4O3tzezZs2nTpg179+7VqTeGJ/XLW7ZsISgoCJVKxdixY/M9Gv6sPn36EBISgqWlZZ5JuxBCCCFeXiWqrMLKyopGjRoxb948mjdvTu3atRk7dix9+/Zl0aJFqFQqdu3aRfPmzenZsyfVq1fnvffe49dff8XW1haAzp07M3bsWD7++GPq16/Pr7/+yoABA3TO06dPH1asWMHq1aupU6cOPj4+REREUKVKlXz3tWnTpvTv35/OnTtTvnx5Zs6cSfny5YmIiOCbb76hZs2aTJ8+ndmzZxfoNejduzfp6ekFLqnIS9u2bVmwYAGzZ8+mVq1aLF26lNWrV+Pr66tts2rVKh4/fkz9+vUZNmxYlpkjsmNoaMitW7fo3r071atXp1OnTrz99ttMnDgxz2MbN27M8uXLWbBgAR4eHvzwww9ZEvK5c+dSpkwZmjZtSlBQEAEBAXh6ehb4+rt06YKRkRFdunTBzMyswMcLIYQQxYaUVeRKpdGU0Hk4XlGTJ0/mm2++4dy5c0XdlRIlMTGRatWqceLEiedKrmc7fqB4n64YZD9d4fNy0pjm3aiAsp/P48V8dGqS4jE7eQ5VPKaXqpTiMbOv4n8xj1XK/wnIQPmYZTTFvzTpjioz70YF9A/Kx9THz2XtTBPFY/b6JkjxmDM7b1c8ZqJK2d/FAKsSv1U85rNSw3rk3SifLMesybvRS6ZElVW8yp7W0i5atChfI7YifzIyMrh16xafffYZjRs3fq7EWAghhBAvjxJVVvEqCwkJoX79+vj6+mYpqejfv7/OtHPPbv379y+iHuft7bffzrHf06ZNK5Q+xMTEYG9vz4kTJ1iyZEmhnFMIIYTQKymryJWMHJcQERERREREZPvcpEmTtCvw/VepUsp/9KuUFStW8PDhw2yfK1u2bKH0wdfXF6k8EkIIUaLIbBW5kuT4FVChQgUqVKhQ1N0osEqVKhV1F4QQQoiSp4SO+CpFkmMhCsHo6wcUjznDrmDLduelQbryN5VcMVL+Jj993Dy36fQCxWP28crfwkIFYYfyNz3d5bHiMRtnKP91N1b4b/lDPRQVGhgqf9PgTVX+FyzKr8GZyn/NR2ruKh5zS8dVisccmFFO8ZjvlUlRPGZJ9sUXXzBr1iyuX7+Oh4cHn3/+OQ0bNsyx/d27d/n000/ZsmULt2/fpnLlysyfP5+WLVvqrY+SHAshhBBCvEqeY75/JWzcuJERI0awZMkSGjVqxPz58wkICCA+Pj7bT7jT09Np0aIFFSpU4Ntvv6VSpUr8+uuvlC5dWq/9lORYCCGEEOJVUkRlFXPnzqVv37707NkTgCVLlrBz505WrVrF6NGjs7RftWoVt2/f5vDhwxgbGwPkuMKxkmS2CiGEEEII8VzS0tL4559/dLa0tKxleunp6Zw6dQp/f3/tPgMDA/z9/Tly5Ei2sbdv306TJk0YNGgQtra21K5dm2nTppGZqfz838+S5FiUaEeOHMHQ0JBWrVoVdVeEEEKI4kGjVmwLCwvDxsZGZwsLC8tyyr///pvMzEztisRP2dracv369Wy7+csvv/Dtt9+SmZnJrl27GDt2LHPmzNH7eg5SViFKtJUrVzJ48GBWrlzJn3/+ScWKFYu6S0IIIUTRUrCsYsxnYxgxYoTOPlNTZW7KVavVVKhQgWXLlmFoaEj9+vX5448/mDVrFuPHj1fkHNmRkWNRYqWkpLBx40YGDBhAq1atsswDvX37dlxcXDAzM8PPz481a9agUqm4e/eutk10dDTNmjXD3NwcBwcHhgwZQmpqauFeiBBCCFFMmZqaUqpUKZ0tu+T4tddew9DQkBs3bujsv3HjBnZ2dtnGtre3p3r16hg+MxOMm5sb169fJz1d+ZlcnpLkWJRYmzZtokaNGri6uvLBBx+watUq7YIe165do0OHDrRt25azZ8/Sr18/Pv30U53jExISCAwMpH379pw7d46NGzcSHR1NSEhIUVyOEEIIoQiNWq3Yll8mJibUr1+fyMhI7T61Wk1kZCRNmjTJ9hhvb2+uXr2K+pnzXL58GXt7e0xMlJ/a8ilJjkWJtXLlSj744AMAAgMDuXfvHgcPHgRg6dKluLq6MmvWLFxdXXnvvfcIDg7WOT4sLIyuXbsybNgwXFxcaNq0KQsXLmTt2rU8evSosC9HCCGEUEYRLR89YsQIli9fzpo1a4iLi2PAgAGkpqZqZ6/o3r07Y8aM0bYfMGAAt2/fZujQoVy+fJmdO3cybdo0Bg0apOjL8V9ScyxKpPj4eI4fP87WrVsBMDIyonPnzqxcuRJfX1/i4+Np0KCBzjH/nYT87NmznDt3jvXr12v3aTQa1Go1165dw83NLdtzp6WlZblTV6PRoFKplLg0IYQQ4qXUuXNn/vrrL8aNG8f169epW7cue/bs0d6kl5SUhIHB/8ZtHRwc2Lt3L8OHD8fd3Z1KlSoxdOhQRo0apdd+SnIsSqSVK1fy+PFjnRvwNBoNpqamLFq0KF8xUlJS6NevH0OGDMnynKOjY47HhYWFMXHiRJ19KgMrVIal8tl7IYQQQo+KcPnokJCQHMsTo6Kisuxr0qQJR48e1XOvdElyLEqcx48fs3btWubMmcP//d//6TzXtm1bvv76a1xdXdm1a5fOcydOnNB57OnpyaVLl3B2di7Q+ceMyXrnbplyNQoUQwghhNAbTdGskPeykORYlDg7duzgzp079O7dGxsbG53n2rdvz8qVK9m0aRNz585l1KhR9O7dm9jYWO1sFk/LH0aNGkXjxo0JCQmhT58+WFpacunSJfbt25fr6LOpqWmWO3WlpEIIIUSxUYQjxy8DuSFPlDgrV67E398/S2IMT5LjkydPcv/+fb799lu2bNmCu7s74eHh2tkqnia27u7uHDx4kMuXL9OsWTPq1avHuHHjZK5kIYQQogSTkWNR4nz//fc5PtewYUPtdG7u7u6888472uemTp3K66+/jpmZmXZfgwYN+OGHH/TXWSGEEKKQaWTkOFeSHItX1uLFi2nQoAHlypUjJiaGWbNmyRzGQgghSj5JjnMlybF4ZV25coUpU6Zw+/ZtHB0d+eijj3TmVxRCCCHEq0eSY/HKmjdvHvPmzSvqbgghhBCFqwAr272KJDkWQgghhHiVSFlFriQ5FqIQjKzoo3jMk5oURePdNDNXNB7Ab5pUxWN6ofxiKn28Rioec8XJWYrHnFp/rOIx7+thmsFDxsovr35fk6FoPDMMFY0HYKVS/k+qA2Z5NyqgwepkxWOOf1xB8ZhHzZT/Gv1qovz3+xJlfxUDILeBFy1JjoUQQgghXiUycpwrSY6FEEIIIV4hT6c0FdmTRUCEEEIIIYT4lyTHoliKiopCpVJx9+7dYhVPpVKxbds2RfokhBBCFAm1RrmtBJLkWBSpI0eOYGhoSKtWrYq6K0IIIcSrQZLjXElyLIrUypUrGTx4MD/99BN//vlnUXdHCCGEKPE0ao1iW0kkybEoMikpKWzcuJEBAwbQqlUrIiIicm0fExODr68vFhYWlClThoCAAO7cuQNAWloaQ4YMoUKFCpiZmfHGG29w4sSJLDFOnTqFl5cXFhYWNG3alPj4eJ3nw8PDqVatGiYmJri6urJu3TrFrlcIIYQQxZ8kx6LIbNq0iRo1auDq6soHH3zAqlWrcryDNjY2lrfeeouaNWty5MgRoqOjCQoKIjMzE4CPP/6YzZs3s2bNGk6fPo2zszMBAQHcvn1bJ86nn37KnDlzOHnyJEZGRvTq1Uv73NatWxk6dCgfffQRFy5coF+/fvTs2ZMDBw7o70UQQgghCpuUVeRKpnITRWblypV88MEHAAQGBnLv3j0OHjyIr69vlrYzZ87Ey8uLxYsXa/fVqlULgNTUVMLDw4mIiODtt98GYPny5ezbt4+VK1cycuT/FniYOnUqPj5PFuQYPXo0rVq14tGjR5iZmTF79myCg4MZOHAgACNGjODo0aPMnj0bPz+/fF9XWloaaWlpOvseazIxUik/ob0QQghRYLJ6dK5k5FgUifj4eI4fP06XLl0AMDIyonPnzqxcuTLb9k9HjrOTkJBARkYG3t7e2n3GxsY0bNiQuLg4nbbu7u7a/9vb2wNw8+ZNAOLi4nRiAHh7e2eJkZewsDBsbGx0tiP3LhUohhBCCCGKhowciyKxcuVKHj9+TMWKFbX7NBoNpqamLFq0KEt7c3NlljY2NjbW/l/177K5arWyb6HHjBnDiBEjdPZNrtNX0XMIIYQQz6uk3kinFBk5FoXu8ePHrF27ljlz5hAbG6vdzp49S8WKFfn666+zHOPu7k5kZGS28Z7eQBcTE6Pdl5GRwYkTJ6hZs2a+++Xm5qYTA57cBFiQGACmpqaUKlVKZ5OSCiGEEMWG1BznSkaORaHbsWMHd+7coXfv3tjY2Og81759e1auXMmsWbN09o8ZM4Y6deowcOBA+vfvj4mJCQcOHKBjx4689tprDBgwgJEjR1K2bFkcHR2ZOXMmDx48oHfv3vnu18iRI+nUqRP16tXD39+f77//ni1btrB//35FrlsIIYQQxZ+MHItCt3LlSvz9/bMkxvAkOT558iTnzp3T2V+9enV++OEHzp49S8OGDWnSpAnfffcdRkZP3t9Nnz6d9u3b061bNzw9Pbl69Sp79+6lTJky+e5X27ZtWbBgAbNnz6ZWrVosXbqU1atXZ3uDoBBCCPHSUiu4lUAqTU5zZwkhFDPG6X3FYyZqHigaz1GlTF33s37TPFI8Zi0sFI95WaV8P1ecnJV3owKaWn+s4jFvqjIUj/lID38x72uU7acZypc6WamU/zC2PMZ5NyqgyIxkxWOOf1xB8ZhHzZT/GllrVIrH3K35W/GYP/y2R/GYz7rT0VexWGW+iVIsVnEhI8dCCCGEEEL8S2qOhRBCCCFeJSW0HEIpkhwLIYQQQrxCZCq33ElyLIQQQgjxKpGR41xJcixEITBG+ZtAHBS+gS4D5UcS9HHznPK3j4EdJorH1MfNc5+emqx4TH3086FK+b+8Ziplb5Gx0sMNeY/18DP0QA9ZTH3j8orHPGis/C1MKj28njdV+vg9V1rxmKJoSXIshBBCCPEK0cjIca4kORZCCCGEeJVIcpwrmcrtFRcREUHp0qVfOE5UVBQqlYq7d+++cCwAJycn5s+fr0is3CQmJqJSqYiNjdX7uYQQQghR/JW45Dg4OBiVSpVlCwwMzPPYwkrISqKmTZuSnJyc7ap3z+PEiRN8+OGH+W6vdHIuhBBClFQatXJbSVQiyyoCAwNZvXq1zj5TU9Mi6k3Jl5GRgYmJCXZ2dorFLF9e+RtGhBBCCIGUVeShxI0cw5NE2M7OTmcrU6YMGo2GCRMm4OjoiKmpKRUrVmTIkCEA+Pr68uuvvzJ8+HDtaHNebt26RZcuXahUqRIWFhbUqVOHr7/+Wvv8smXLqFixImq17ndhmzZt6NWrl/bxlClTqFChAtbW1vTp04fRo0dTt27dfF/vqlWrqFWrFqamptjb2xMSEqJ9bu7cudSpUwdLS0scHBwYOHAgKSkpucYLDw+nWrVqmJiY4Orqyrp163SeV6lUhIeH884772BpacnUqVOzHbmNjo6mWbNmmJub4+DgwJAhQ0hNTc3XNf13FF+lUrFixQratWuHhYUFLi4ubN++HXhSGuHn5wdAmTJlUKlUBAcHA7Bnzx7eeOMNSpcuTbly5WjdujUJCQk5njczM5NevXpRo0YNkpKSAPjuu+/w9PTEzMyMqlWrMnHiRB4/fpyv6xBCCCHEy6VEJsc52bx5M/PmzWPp0qVcuXKFbdu2UadOHQC2bNnC66+/zqRJk0hOTiY5Oe+15x89ekT9+vXZuXMnFy5c4MMPP6Rbt24cP34cgI4dO3Lr1i0OHDigPeb27dvs2bOHrl27ArB+/XqmTp3KjBkzOHXqFI6OjoSHh+f7msLDwxk0aBAffvgh58+fZ/v27Tg7O2ufNzAwYOHChVy8eJE1a9bw448/8vHHH+cYb+vWrQwdOpSPPvqICxcu0K9fP3r27KlzDQATJkygXbt2nD9/XifRfyohIYHAwEDat2/PuXPn2LhxI9HR0TqJe0FNnDiRTp06ce7cOVq2bEnXrl25ffs2Dg4ObN68GYD4+HiSk5NZsGABAKmpqYwYMYKTJ08SGRmJgYEB7dq1y/KGBSAtLY2OHTsSGxvLoUOHcHR05NChQ3Tv3p2hQ4dy6dIlli5dSkREBFOnTn3u6xBCCCGKkpRV5E6l0WhK1DIpwcHBfPnll5iZmens/+STTzAzM2Pp0qVcuHABY2PjLMc6OTkxbNgwhg0b9tznb926NTVq1GD27NkAtG3blnLlyrFy5UrgyWjyxIkT+e233zAwMKBx48Z4eXmxaNEibYw33niDlJSUfN0kVqlSJXr27MmUKVPy1b9vv/2W/v378/fffwNPbsgbNmyYdsTX29ubWrVqsWzZMu0xnTp1IjU1lZ07dwJPRnGHDRvGvHnztG2ioqLw8/Pjzp07lC5dmj59+mBoaMjSpUu1baKjo/Hx8SE1NTXL1+e//vu1UKlUfPbZZ0ye/GSe19TUVKysrNi9ezeBgYFZzp+Tv//+m/Lly3P+/Hlq165NYmIiVapU4dChQ0yYMIG0tDR27NihrZ329/fnrbfeYsyYMdoYX375JR9//DF//vlnHq/2/4xz6prvtvn1SOHPxfQxR2s5jfJzyepjnmN9zMtrrlF+7OFVnuf4PpmKxntZ5jk20MMc6el6+EzdWg+vp/JXjsLfRU8o/bsYYF7iBsVjPuvmWz6KxaoQeVCxWMVFiRw59vPzIzY2Vmfr378/HTt25OHDh1StWpW+ffuydevWF/p4PDMzk8mTJ1OnTh3Kli2LlZUVe/fu1X4cD9C1a1c2b95MWloa8GSk+L333sPA4MlLHx8fT8OGDXXi/vdxTm7evMmff/7JW2+9lWOb/fv389Zbb1GpUiWsra3p1q0bt27d4sGDB9m2j4uLw9vbW2eft7c3cXFxOvu8vLxy7dvZs2eJiIjAyspKuwUEBKBWq7l27Vq+ru+/3N3dtf+3tLSkVKlS3Lx5M9djrly5QpcuXahatSqlSpXCyckJQOdrBNClSxdSU1P54YcfdG4qPHv2LJMmTdK5jr59+5KcnJzja5iWlsY///yjsz3W6ONXshBCCFFwMnKcuxKZHFtaWuLs7KyzlS1bFgcHB+Lj41m8eDHm5uYMHDiQ5s2bk5HxfGNRs2bNYsGCBYwaNYoDBw4QGxtLQEAA6enp2jZBQUFoNBp27tzJb7/9xqFDh7QlFS/K3Dz3FdISExNp3bo17u7ubN68mVOnTvHFF18A6PTxeVhaWub6fEpKCv369dN5g3L27FmuXLlCtWrVnuuc/x3tV6lU2ZZHPCsoKIjbt2+zfPlyjh07xrFjx4Cs19+yZUvOnTvHkSNHslzHxIkTda7j/PnzXLlyJcfR77CwMGxsbHS2mHsXC3q5QgghhCgCJXK2ityYm5sTFBREUFAQgwYNokaNGpw/fx5PT09MTEzIzMz/CF9MTAxt2rThgw8+AECtVnP58mVq1qypbWNmZsa7777L+vXruXr1Kq6urnh6emqfd3V15cSJE3Tv3l2778SJE/k6v7W1NU5OTkRGRmpvSHvWqVOnUKvVzJkzRztSvWnTplxjurm5ERMTQ48ePXSu89lryg9PT08uXbqkU/+sTyYmT5b/ffbrd+vWLeLj41m+fDnNmjUDnpR2ZGfAgAHUrl2bd955h507d+Lj8+QjJ09PT+Lj4wt0HWPGjGHEiBE6+6bXyf+0dEIIIYReafRRtFJylMjkOC0tjevXr+vsMzIyYseOHWRmZtKoUSMsLCz48ssvMTc3p3LlysCTOteffvqJ9957D1NTU1577bVcz+Pi4sK3337L4cOHKVOmDHPnzuXGjRtZEsmuXbvSunVrLl68qE2knxo8eDB9+/bFy8uLpk2bsnHjRs6dO0fVqlXzda0TJkygf//+VKhQgbfffpv79+8TExPD4MGDcXZ2JiMjg88//5ygoCBiYmJYsmRJrvFGjhxJp06dqFevHv7+/nz//fds2bKF/fv356s/T40aNYrGjRsTEhJCnz59sLS05NKlS+zbt0+nvloplStXRqVSsWPHDlq2bIm5uTllypShXLlyLFu2DHt7e5KSkhg9enSOMQYPHkxmZiatW7dm9+7dvPHGG4wbN47WrVvj6OhIhw4dMDAw4OzZs1y4cCHHOm9TU9MsUwcaqZSvxxNCCCGeR1GWQ3zxxRfMmjWL69ev4+Hhweeff56vctINGzbQpUsX2rRpw7Zt2/TaxxJZVrFnzx7s7e11tqfTeS1fvhxvb2/c3d3Zv38/33//PeXKlQNg0qRJJCYmUq1atXzNs/vZZ5/h6elJQEAAvr6+2NnZ0bZt2yzt3nzzTcqWLUt8fDzvv/++znNdu3ZlzJgxhIaG4unpybVr1wgODs7zhrWnevTowfz581m8eDG1atWidevWXLlyBQAPDw/mzp3LjBkzqF27NuvXrycsLCzXeG3btmXBggXMnj2bWrVqsXTpUlavXo2vr2+++vOUu7s7Bw8e5PLlyzRr1ox69eoxbtw4KlasWKA4+VWpUiUmTpzI6NGjsbW1JSQkBAMDAzZs2MCpU6eoXbs2w4cPZ9asWbnGGTZsGBMnTqRly5YcPnyYgIAAduzYwQ8//ECDBg1o3Lgx8+bN076hEkIIIUT+bNy4kREjRjB+/HhOnz6Nh4cHAQEBed4/lJiYSGhoqPZTYH0rcbNVlAQtWrTAzs4uy/zC4uUls1UoR2arUJbMVqEcma1CWTJbhf4kv5G1FPN5lY3co5104KnsPkEFaNSoEQ0aNNB+gqxWq3FwcGDw4ME5frKbmZlJ8+bN6dWrF4cOHeLu3bsyclzSPXjwgLlz53Lx4kV+/vlnxo8fz/79+3VqfoUQQgghlKLkbBXZ3YSe3afU6enpnDp1Cn9/f+0+AwMD/P39s9wM/6xJkyZRoUIFevfurZfXIjslsuZYKW+//TaHDh3K9rlPPvmETz755IXPoVKp2LVrF1OnTuXRo0e4urqyefNm7TePlZVVjsfu3r270D5iUNKhQ4d4++23c3w+rxX8hBBCCFE8ZHcTenajxn///TeZmZnY2trq7Le1teXnn3/ONnZ0dDQrV67M17oPSpLkOBcrVqzg4cOH2T5XtmxZRc5hbm6e681uuX1DVKpUSZE+FDYvL69C/0YXQgghxBMaBWeryKmE4kXdv3+fbt26sXz58jwnSFCaJMe5KA7JZ2FNhVaYzM3NS+R1CSGEEC+Dopit4rXXXsPQ0JAbN27o7L9x4wZ2dnZZ2ickJJCYmEhQUJB239O1DYyMjIiPj3/udRPyIsmxEC+pMgrf7JasUv5WtzQ93FGj1sNNT3d5/pUyc3JfpfzF6+PmOX3c5Dfca0zejQrIQuEbvpT++dGXP/Twc2mph9uNLPQwb64+fn8karL/NPhFlFUZ591IYGJiQv369YmMjNTO7KVWq4mMjCQkJCRL+6frUDzrs88+4/79+yxYsAAHBwe99VWSYyGEEEKIV4hGXTSLgIwYMYIePXrg5eVFw4YNmT9/PqmpqfTs2ROA7t27U6lSJcLCwjAzM6N27do6x5cuXRogy36lSXIshBBCCPEKKapJfDt37sxff/3FuHHjuH79OnXr1mXPnj3am/SSkpK0K/oWJUmOhRBCCCFeIUU1cgwQEhKSbRkFQFRUVK7HRkREKN+hbBR9ei7yJTExEZVKVSJmeXBycmL+/PnFInZERIT2Yxp4shx33bp1Fe+XEEIIIV4OkhzrUXBwMCqViv79+2d5btCgQahUKoKDg/MVy8HBgeTkZL3X2bxqOnfuzOXLl4u6G0IIIUSh0ahVim0lkSTHeubg4MCGDRt05kt+9OgRX331FY6OjvmOY2hoiJ2dHUZGUgmjJHNzcypUqFDU3RBCCCEKjUaj3FYSSXKsZ56enjg4OLBlyxbtvi1btuDo6Ei9evW0+/bs2cMbb7xB6dKlKVeuHK1btyYhIUH7/H/LKqKiolCpVERGRuLl5YWFhQVNmzYlPj4+X/16Wj6watUqHB0dsbKyYuDAgWRmZjJz5kzs7OyoUKECU6dO1Tnu7t279OnTh/Lly1OqVCnefPNNzp49q30+ISGBNm3aYGtri5WVFQ0aNMh1kRONRsOECRNwdHTE1NSUihUrMmTIkHxdw82bNwkKCsLc3JwqVaqwfv36LG3mzp1LnTp1sLS0xMHBgYEDB+qswPffsopn/fTTTxgbG3P9+nWd/cOGDXspVyYUQgghRN4kOS4EvXr1YvXq1drHq1at0k5b8lRqaiojRozg5MmTREZGYmBgQLt27bQTXufk008/Zc6cOZw8eRIjIyN69eqV734lJCSwe/du9uzZw9dff83KlStp1aoVv//+OwcPHmTGjBl89tlnHDt2THtMx44duXnzJrt37+bUqVN4enry1ltvcfv2beDJ0s8tW7YkMjKSM2fOEBgYSFBQEElJSdn2YfPmzcybN4+lS5dy5coVtm3bRp06dfLV/+DgYH777TcOHDjAt99+y+LFi7l586ZOGwMDAxYuXMjFixdZs2YNP/74Ix9//HG+4jdv3pyqVauybt067b6MjAzWr19foNdZCCGEKE6krCJ38hl9Ifjggw8YM2YMv/76KwAxMTFs2LBB567M9u3b6xyzatUqypcvz6VLl3KtM546dSo+Pj4AjB49mlatWvHo0SPMzMzy7JdarWbVqlVYW1tTs2ZN/Pz8iI+PZ9euXRgYGODq6sqMGTM4cOAAjRo1Ijo6muPHj3Pz5k3tUpGzZ89m27ZtfPvtt3z44Yd4eHjg4eGhPcfkyZPZunUr27dvz/bu1KSkJOzs7PD398fY2BhHR0caNmyYZ98vX77M7t27OX78OA0aNABg5cqVuLm56bQbNmyY9v9OTk5MmTKF/v37s3jx4jzPAdC7d29Wr17NyJEjAfj+++959OgRnTp1yvGYtLQ00tLSdPY91mRipHo5Fh0QQghRsim5fHRJJCPHhaB8+fK0atWKiIgIVq9eTatWrbKsE37lyhW6dOlC1apVKVWqFE5OTgA5jrg+5e7urv2/vb09QJbR05w4OTlhbW2tfWxra0vNmjV15hi0tbXVxjt79iwpKSmUK1cOKysr7Xbt2jVtCUhKSgqhoaG4ublRunRprKysiIuLy/E6OnbsyMOHD6latSp9+/Zl69atPH6c92plcXFxGBkZUb9+fe2+GjVqZCmR2L9/P2+99RaVKlXC2tqabt26cevWLR48eJCv1yg4OJirV69y9OhR4EkZRqdOnbC0tMzxmLCwMGxsbHS2mHsX83U+IYQQQhQtGTkuJL169dKOnH7xxRdZng8KCqJy5cosX76cihUrolarqV27Nunp6bnGNTb+37KVqn+Xq82rFCO7Y58en92+p/FSUlKwt7fPdh7Cp0lpaGgo+/btY/bs2Tg7O2Nubk6HDh1yvA4HBwfi4+PZv38/+/btY+DAgcyaNYuDBw9m6UtBJSYm0rp1awYMGMDUqVMpW7Ys0dHR9O7dm/T0dCwsLPKMUaFCBYKCgli9ejVVqlRh9+7dec7DOGbMGEaMGKGzb3qdD1/kUoQQQgjFaPKXJryyJDkuJIGBgaSnp6NSqQgICNB57tatW8THx7N8+XLtjV7R0dFF0c1ceXp6cv36dYyMjLQj2/8VExNDcHAw7dq1A54k1ImJibnGNTc3JygoiKCgIAYNGqRdT93T0zPHY2rUqMHjx485deqUtqwiPj6eu3fvatucOnUKtVrNnDlztKPhmzZtyv8F/6tPnz506dKF119/nWrVquHt7Z1re1NTU23ZyVNSUiGEEKK4UEtZRa4kOS4khoaGxMXFaf//rDJlylCuXDmWLVuGvb09SUlJjB49uii6mSt/f3+aNGlC27ZtmTlzJtWrV+fPP/9k586dtGvXDi8vL1xcXNiyZQtBQUGoVCrGjh2b60h2REQEmZmZNGrUCAsLC7788kvMzc2pXLlyrn1xdXUlMDCQfv36ER4ejpGREcOGDcPc3FzbxtnZmYyMDD7//HOCgoKIiYlhyZIlBb7ugIAASpUqxZQpU5g0aVKBjxdCCCHEy0NqjgtRqVKlKFWqVJb9BgYGbNiwgVOnTlG7dm2GDx/OrFmziqCHuVOpVOzatYvmzZvTs2dPqlevznvvvcevv/6qXRd97ty5lClThqZNmxIUFERAQECuI8ClS5dm+fLleHt74+7uzv79+/n+++8pV65cnv1ZvXo1FStWxMfHh3fffZcPP/xQZ85iDw8P5s6dy4wZM6hduzbr168nLCyswNdtYGBAcHAwmZmZdO/evcDHCyGEEMWJRqNSbCuJVBpNSZ3CWQjl9O7dm7/++ovt27c/1/HjnLoq3CMwV/iXUrIqQ9F4AKX18OGUGuV/Zf2F8tduiPJ/NCpoXqwOPzufnpqseMzhXmMUj2mm8FhOOc3LUer0hx5+Li31MC5WSqN8zDQ95F2/aB7m3aiAyqqU/7lcmLhR8ZjP+rl6S8Vi1bi8S7FYxYWUVQiRi3v37nH+/Hm++uqr506MhRBCiOJEhkVzJ2UVJVStWrV0plt7dstuJbni5tChQzn238rKqtD60aZNG/7v//6P/v3706JFi0I7rxBCCCGKhowcl1C7du0iIyP7j+Oe1gcXZ15eXtqlsotSXtO2CSGEEC+bkrqynVIkOS6h8prtobgzNzfH2dm5qLshhBBClDgylVvuJDkW4iWVpvCNac3TlP91cM9Q+V/Al42Un72+cYZp3o0K6JDxI8VjPlQpf+36uHlu3smCzwqTl4We4xSN94dB3itxFpRnuvI/Q+eNc18I6nn0IVPxmCtU5nk3KiATPdzU6k7eiz8VVHurvxSPKYqWJMdCCCGEEK+QkjoFm1IkORZCCCGEeIXIbBW5k9kqhODJAifbtm0r6m4IIYQQoohJciyK3F9//cWAAQNwdHTE1NQUOzs7AgICiImJKequCSGEECWOWqNSbCuJpKxCFLn27duTnp7OmjVrqFq1Kjdu3CAyMpJbt24VddeEEEKIEkdqjnMnI8eiSN29e5dDhw4xY8YM/Pz8qFy5Mg0bNmTMmDG88847wJOShxUrVtCuXTssLCxwcXHRWa0uMzOT3r17U6VKFczNzXF1dWXBggVZzrVq1Spq1aqFqakp9vb2hISE5Niv8ePHY29vz7lz5wBYvHgxLi4umJmZYWtrS4cOHRR+JYQQQghRHEhyLIrU0xXvtm3bRlpaWo7tJk6cSKdOnTh37hwtW7aka9eu3L59GwC1Ws3rr7/ON998w6VLlxg3bhyffPIJmzZt0h4fHh7OoEGD+PDDDzl//jzbt2/Pdh5ljUbD4MGDWbt2LYcOHcLd3Z2TJ08yZMgQJk2aRHx8PHv27KF58+bKvxhCCCFEIdBolNtKIimrEEXKyMiIiIgI+vbty5IlS/D09MTHx4f33nsPd3d3bbvg4GC6dOkCwLRp01i4cCHHjx8nMDAQY2NjJk6cqG1bpUoVjhw5wqZNm+jUqRMAU6ZM4aOPPmLo0KHadg0aNNDpy+PHj/nggw84c+YM0dHRVKpUCYCkpCQsLS1p3bo11tbWVK5cmXr16uV4TWlpaVkS/ceaTIxUhs/5KgkhhBDKKam1wkqRkWNR5Nq3b8+ff/7J9u3bCQwMJCoqCk9PTyIiIrRtnk2ULS0tKVWqFDdv3tTu++KLL6hfvz7ly5fHysqKZcuWkZSUBMDNmzf5888/eeutt3Ltx/Dhwzl27Bg//fSTNjEGaNGiBZUrV6Zq1ap069aN9evX8+DBgxzjhIWFYWNjo7PF3LtY0JdFCCGE0AuNRqXYVhJJciyKBTMzM1q0aMHYsWM5fPgwwcHBjB8/Xvu8sbGxTnuVSoVa/WS1sA0bNhAaGkrv3r354YcfiI2NpWfPnqSnP1lZytw8fys3tWjRgj/++IO9e/fq7Le2tub06dN8/fXX2NvbM27cODw8PLh79262ccaMGcO9e/d0Nm+bWvl9KYQQQghRhCQ5FsVSzZo1SU1NzVfbmJgYmjZtysCBA6lXrx7Ozs4kJCRon7e2tsbJyYnIyMhc47zzzjt89dVX9OnThw0bNug8Z2RkhL+/PzNnzuTcuXMkJiby448/ZhvH1NSUUqVK6WxSUiGEEKK4kKnccic1x6JI3bp1i44dO9KrVy/c3d2xtrbm5MmTzJw5kzZt2uQrhouLC2vXrmXv3r1UqVKFdevWceLECapUqaJtM2HCBPr370+FChV4++23uX//PjExMQwePFgnVrt27Vi3bh3dunXDyMiIDh06sGPHDn755ReaN29OmTJl2LVrF2q1GldXV0VfCyGEEKIwlND76BQjybEoUlZWVjRq1Ih58+aRkJBARkYGDg4O9O3bl08++SRfMfr168eZM2fo3LkzKpWKLl26MHDgQHbv3q1t06NHDx49esS8efMIDQ3ltddey3E6tg4dOqBWq+nWrRsGBgZUqFCBLVu2MGHCBB49eoSLiwtff/01tWpJqYQQQghR0qg0mpI6EYcQxcc4p66KxzRQ+Ce3drqy8QDuGSr/kdtlo0zFY9bIUL7s5ZDxI8Vjlsc470YFlIpa8ZjzToYpHnOh5zhF4/1h8FjReACe6cqPN+0yzl95WUF8jPI/QytU+bu3oyBMUP73h51G+a9Re+u/FI9Z7cLevBu9gMP27RWL1TR5s2KxigsZORZCCCGEeIWU1FkmlCI35AkhhBBCCPEvGTkWQgghhHiFKF9MVbJIciyEEEII8QrR6KGeuySR5FiIQnBVk/OKes/LUqXsj6+vHoYSLNTK3+j2l6Hyv7aM9XBb8n1NhuIxzVTKV8JZoPzXSOmb5wCGnJ6kaLzFeuhj2Uzlb/J7aKR8TFvHFMVjdrpqqnjMGFPlYw7qqfzNiNuWlVc8ZjXFI4qCkORYCCGEEOIVopZ5ynIlybEQQgghxCtELWUVuZLkWAghhBDiFSI1x7mTqdxEieTk5MT8+fPz3T4xMRGVSkVsbKze+iSEEEK86r744gucnJwwMzOjUaNGHD9+PMe2y5cvp1mzZpQpU4YyZcrg7++fa3ulSHIsipXg4GDatm2bZX9UVBQqlYq7d+/mK86JEyf48MMPFe1bREQEpUuXVjSmEEIIUdjUCm4FsXHjRkaMGMH48eM5ffo0Hh4eBAQEcPPmzWzbR0VF0aVLFw4cOMCRI0dwcHDg//7v//jjjz8KeskFIsmxKJHKly+PhYVFUXdDCCGEKHY0qBTbCmLu3Ln07duXnj17UrNmTZYsWYKFhQWrVq3Ktv369esZOHAgdevWpUaNGqxYsQK1Wk1kZKQSL0OOJDkWL6Xo6GiaNWuGubk5Dg4ODBkyhNTUVO3z/y2r+Pnnn3njjTcwMzOjZs2a7N+/H5VKxbZt23Ti/vLLL/j5+WFhYYGHhwdHjhwBnrx77dmzJ/fu3UOlUqFSqZgwYUIhXKkQQghRfKWlpfHPP//obGlpaVnapaenc+rUKfz9/bX7DAwM8Pf31/6tzcuDBw/IyMigbNmyivU/O5Ici5dOQkICgYGBtG/fnnPnzrFx40aio6MJCQnJtn1mZiZt27bFwsKCY8eOsWzZMj799NNs23766aeEhoYSGxtL9erV6dKlC48fP6Zp06bMnz+fUqVKkZycTHJyMqGhofq8TCGEEEIvlCyrCAsLw8bGRmcLCwvLcs6///6bzMxMbG1tdfbb2tpy/fr1fPV71KhRVKxYUSfB1geZrUIUOzt27MDKykpnX2bm/yZuDwsLo2vXrgwbNgwAFxcXFi5ciI+PD+Hh4ZiZmekcu2/fPhISEoiKisLOzg6AqVOn0qJFiyznDg0NpVWrVgBMnDiRWrVqcfXqVWrUqIGNjQ0qlUobIydpaWlZ3jVnajIxVCm/2IIQQghRUEqu+TRmzBhGjBihs89UDwu4TJ8+nQ0bNhAVFZXl77zSZORYFDt+fn7ExsbqbCtWrNA+f/bsWSIiIrCystJuAQEBqNVqrl27liVefHw8Dg4OOkltw4YNsz23u7u79v/29vYAOd4okJPs3kVfune5QDGEEEKIl4GpqSmlSpXS2bJLjl977TUMDQ25ceOGzv4bN27kOeg0e/Zspk+fzg8//KDzd1pfZORYFDuWlpY4Ozvr7Pv999+1/09JSaFfv34MGTIky7GOjo4vdG5jY2Pt/1WqJzcaqNUFe4+d3bvovrU/eKF+CSGEEEopinmOTUxMqF+/PpGRkdpZqZ7eXJdTWSTAzJkzmTp1Knv37sXLy6tQ+irJsXjpeHp6cunSpSwJdE5cXV357bffuHHjhrbW6cSJEwU+r4mJiU55R05MTU2zvGuWkgohhBDFhbqI1gAZMWIEPXr0wMvLi4YNGzJ//nxSU1Pp2bMnAN27d6dSpUramuUZM2Ywbtw4vvrqK5ycnLS1yU8/NdYXKasQL51Ro0Zx+PBhQkJCiI2N5cqVK3z33Xc5vvNs0aIF1apVo0ePHpw7d46YmBg+++wz4H+jw/nh5ORESkoKkZGR/P333zx48ECR6xFCCCFeBZ07d2b27NmMGzeOunXrEhsby549e7QDV0lJSSQnJ2vbh4eHk56eTocOHbC3t9dus2fP1ms/ZeRYvHTc3d05ePAgn376Kc2aNUOj0VCtWjU6d+6cbXtDQ0O2bdtGnz59aNCgAVWrVmXWrFkEBQUVqKi/adOm9O/fn86dO3Pr1i3Gjx8v07kJIYR46aiLcPnokJCQHAezoqKidB4nJibqv0PZkORYFCsRERHZ7vf19UWj0WgfN2jQgB9++CHHOP/9gapRowbR0dHaxzExMQDa0gwnJyed+AClS5fOsi88PJzw8PA8r0MIIYQorjR5N3mlSXIsXglbt27FysoKFxcXrl69ytChQ/H29qZatWpF3TUhhBCiUCk5lVtJJMmxeCXcv3+fUaNGkZSUxGuvvYa/vz9z5swp6m4JIYQQopiR5Fi8Erp370737t2LuhtCCCFEkVMX4Gb0V5Ekx0IIIYQQrxCpOc6dJMdCFIKKKuWXurTSKDsT435z5X9dPtBDZVsFPfxWf6iHSS3NUH5uays9xCyjUT7mHwaPFY+52HOcovEGnp6kaDyAEK9Risf0VtsoHnPVb6UUj6lWfrVgjPNuUmBLVin//X7bRCp4SxpJjoUQQgghXiGSzudOkmMhhBBCiFdIUa2Q97KQFfLEK0OlUrFt27ai7oYQQgghijFJjkWh++uvvxgwYACOjo6YmppiZ2dHQECAdmEOIYQQQuiPGpViW0kkZRWi0LVv35709HTWrFlD1apVuXHjBpGRkdy6dauou1Yg6enpmJiYFHU3hBBCiAKR2SpyJyPHolDdvXuXQ4cOMWPGDPz8/KhcuTINGzZkzJgxvPPOO8CT8oelS5fSunVrLCwscHNz48iRI1y9ehVfX18sLS1p2rQpCQkJOrHDw8OpVq0aJiYmuLq6sm7dulz7Mn78eOzt7Tl37hwA0dHRNGvWDHNzcxwcHBgyZAipqana9k5OTkyePJnu3btTqlQpPvzwQ4VfHSGEEEIUNUmORaGysrLCysqKbdu2kZaWlmO7p0lobGwsNWrU4P3336dfv36MGTOGkydPotFoCAkJ0bbfunUrQ4cO5aOPPuLChQv069ePnj17cuDAgSyxNRoNgwcPZu3atRw6dAh3d3cSEhIIDAykffv2nDt3jo0bNxIdHa1zDoDZs2fj4eHBmTNnGDt2rHIvjBBCCFFI1CrltpJIpdFoZHRdFKrNmzfTt29fHj58iKenJz4+Prz33nu4u7sDT0aOP/vsMyZPngzA0aNHadKkCStXrqRXr14AbNiwgZ49e/Lw4UMAvL29qVWrFsuWLdOep1OnTqSmprJz505t3G+++YatW7dy5swZ9u3bR6VKlQDo06cPhoaGLF26VHt8dHQ0Pj4+pKamYmZmhpOTE/Xq1WPr1q25Xl9aWlqWxH9cnT4YqZSdX1PpeY4fq16WeY6VrwYrl6l4SH4yfKB4THuV8pPJ6mOe479Uys9zXFmt7Nf9ZZnn2EUPEwin6eFnXR9TgxnroZ7VWA8Zz20D5a9+auJXisd8VkSlDxSLFfzHl4rFKi5k5FgUuvbt2/Pnn3+yfft2AgMDiYqKwtPTk4iICG2bp4kygK2tLQB16tTR2ffo0SP++ecfAOLi4vD29tY5j7e3N3FxcTr7hg8fzrFjx/jpp5+0iTHA2bNniYiI0I5sW1lZERAQgFqt5tq1a9p2Xl5eeV5fWFgYNjY2Otvxe5fy8coIIYQQ+qdRcCuJJDkWRcLMzIwWLVowduxYDh8+THBwMOPHj9c+b2z8v7WRVP+uAZ/dPrW6YO/YW7RowR9//MHevXt19qekpNCvXz9iY2O129mzZ7ly5QrVqlXTtrO0tMzzHGPGjOHevXs6W0ObmgXqpxBCCCGKhsxWIYqFmjVrvtAcxG5ubsTExNCjRw/tvpiYGGrW1E1K33nnHYKCgnj//fcxNDTkvffeA8DT05NLly7h7Oz83H14ytTUFFNT3Y9ClS6pEEIIIZ5XSa0VVookx6JQ3bp1i44dO9KrVy/c3d2xtrbm5MmTzJw5kzZt2jx33JEjR9KpUyfq1auHv78/33//PVu2bGH//v1Z2rZr145169bRrVs3jIyM6NChA6NGjaJx48aEhITQp08fLC0tuXTpEvv27WPRokUvcslCCCFEsSLLR+dOkmNRqKysrGjUqBHz5s0jISGBjIwMHBwc6Nu3L5988slzx23bti0LFixg9uzZDB06lCpVqrB69Wp8fX2zbd+hQwfUajXdunXDwMCAd999l4MHD/Lpp5/SrFkzNBoN1apVo3Pnzs/dJyGEEEK8fGS2CiEKQahTF8VjymwVypHZKpQls1UoR2arUDimzFYBwNLXlZutot/vJW+2Chk5FkIIIYR4hWik5jhXMluFEEIIIYQQ/5KRYyGEEEKIV4jckJc7SY6FEEIIIV4hkhznTpJjIQqBnVr5m56c05X99WapUf6utP3myldu3VEp308DQ+W/PlYq5X+9Pn5J1qPyTFf+2stmKnuTnz5unlt0cobiMSd7jVU8ZsCjtLwbFdAVQzPFY541Vv7GzqoK39gJ4PNQUs2SRpJjIYQQQohXyMvxNrvoSHIshBBCCPEKkRXycifJsRBCCCHEK0QKQXInU7mJEmXChAnUrVu3QMeoVCq2bdsGQGJiIiqVitjYWMX7JoQQQojiT5LjV9iSJUuwtrbm8eP/3fSQkpKCsbFxlmWXo6KiUKlUJCQk5Brzabu7d+/qocf6kZyczNtvv13U3RBCCCEKhVrBrSSS5PgV5ufnR0pKCidPntTuO3ToEHZ2dhw7doxHjx5p9x84cABHR0eqVatWKH3TaDQ6Sbs+2dnZYWqq/BKtQgghRHGkUXAriSQ5foW5urpib29PVFSUdl9UVBRt2rShSpUqHD16VGe/n58f69atw8vLC2tra+zs7Hj//fe5efMm8KQkwc/PD4AyZcqgUqkIDg4GQK1WExYWRpUqVTA3N8fDw4Nvv/1WJ75KpWL37t3Ur18fU1NToqOj87yG6dOnY2tri7W1Nb1799ZJ6AFOnDhBixYteO2117CxscHHx4fTp0/rtHm2rOJZGo0GZ2dnZs+erbM/NjYWlUrF1atX8+yfEEIIIV4ukhy/4vz8/Dhw4ID28YEDB/D19cXHx0e7/+HDhxw7dgw/Pz8yMjKYPHkyZ8+eZdu2bSQmJmoTYAcHBzZv3gxAfHw8ycnJLFiwAICwsDDWrl3LkiVLuHjxIsOHD+eDDz7g4MGDOv0ZPXo006dPJy4uDnd391z7vmnTJiZMmMC0adM4efIk9vb2LF68WKfN/fv36dGjB9HR0Rw9ehQXFxdatmzJ/fv383xtVCoVvXr1YvXq1Tr7V69eTfPmzXF2ds4zhhBCCFHcqFXKbSWRzFbxivPz82PYsGE8fvyYhw8fcubMGXx8fMjIyGDJkiUAHDlyhLS0NPz8/HB0dNQeW7VqVRYuXEiDBg1ISUnBysqKsmXLAlChQgVKly4NQFpaGtOmTWP//v00adJEe2x0dDRLly7Fx8dHG3PSpEm0aNEiX32fP38+vXv3pnfv3gBMmTKF/fv364wev/nmmzrHLFu2jNKlS3Pw4EFat26d5zmCg4MZN24cx48fp2HDhmRkZPDVV19lGU1+VlpaGmlpupPsP9ZkYqRSfqEJIYQQoqBKaq2wUmTk+BXn6+tLamoqJ06c4NChQ1SvXp3y5cvj4+OjrTuOioqiatWqODo6curUKYKCgnB0dMTa2lqb2CYlJeV4jqtXr/LgwQNatGiBlZWVdlu7dm2WG/y8vLzy3fe4uDgaNWqks+9p8v3UjRs36Nu3Ly4uLtjY2FCqVClSUlJy7e+zKlasSKtWrVi1ahUA33//PWlpaXTs2DHHY8LCwrCxsdHZfvznYr6vSwghhBBFR0aOX3HOzs68/vrrHDhwgDt37miT3YoVK+Lg4MDhw4c5cOAAb775JqmpqQQEBBAQEMD69espX748SUlJBAQEkJ6enuM5UlJSANi5cyeVKlXSee6/N8JZWloqen09evTg1q1bLFiwgMqVK2NqakqTJk1y7e9/9enTh27dujFv3jxWr15N586dsbCwyLH9mDFjGDFihM6+xbX6Pfc1CCGEEEoqqTfSKUWSY4Gfnx9RUVHcuXOHkSNHavc3b96c3bt3c/z4cQYMGMDPP//MrVu3mD59Og4ODgA6M10AmJiYAJCZmandV7NmTUxNTUlKStIpoXhRbm5uHDt2jO7du2v3PXsTIUBMTAyLFy+mZcuWAPz222/8/fffBTpPy5YtsbS0JDw8nD179vDTTz/l2t7U1DRL0i8lFUIIIYoLtaTHuZLkWODn58egQYPIyMjQSV59fHwICQkhPT0dPz8/jIyMMDEx4fPPP6d///5cuHCByZMn68SqXLkyKpWKHTt20LJlS8zNzbG2tiY0NJThw4ejVqt54403uHfvHjExMZQqVYoePXo8V7+HDh1KcHAwXl5eeHt7s379ei5evEjVqlW1bVxcXLQzbPzzzz+MHDkSc3PzAp3H0NCQ4OBgxowZg4uLS5bSDSGEEEKUHFJzLPDz8+Phw4c4Oztja2ur3e/j48P9+/e1U76VL1+eiIgIvvnmG2rWrMn06dOz3JhWqVIlJk6cyOjRo7G1tSUkJASAyZMnM3bsWMLCwnBzcyMwMJCdO3dSpUqV5+53586dGTt2LB9//DH169fn119/ZcCAATptVq5cyZ07d/D09KRbt24MGTKEChUqFPhcvXv3Jj09nZ49ez53f4UQQojiQBYByZ1Ko9HI2LoQeTh06BBvvfUWv/32m84biPya7fiB4n1yTlf215KlJjPvRgW03/zleP9dTqN82cs1Vf7r2vPLXA/jGeU1yn+A6JCheEjKZiq7KNB35sp/vy86OUPxmJO9xioeM+BRWt6NCuiKoZniMc8aK78QVNVM5b/fXdOV7+f/3digeMxnTarcVbFY435dr1is4uLl+MslRBFJS0vj999/Z8KECXTs2PG5EmMhhBCiOCnKkeMvvvgCJycnzMzMaNSoEcePH8+1/TfffEONGjUwMzOjTp067Nq16znOWjCSHItiq1atWjpTvz27rV9fOO9Uv/76aypXrszdu3eZOXNmoZxTCCGEKIk2btzIiBEjGD9+PKdPn8bDw4OAgADtSrv/dfjwYbp06ULv3r05c+YMbdu2pW3btly4cEGv/ZSyClFs/frrr2RkZP/57NMlo18WUlZRvElZhbKkrEI5UlahLCmreGKck3JlFZ/Gr8qy8FV2szYBNGrUiAYNGrBo0SIA1Go1Dg4ODB48mNGjR2dp37lzZ1JTU9mxY4d2X+PGjalbt652oTJ9eDn+colXUuXKlXF2ds52e5kSYyGEEKI4UaNRbMtu4auwsLAs50xPT+fUqVP4+/tr9xkYGODv78+RI0ey7eeRI0d02gMEBATk2F4pMpWbEIXgroHy9/T+Zqzse9sN6uuKxgNQZyj/wVRd4/KKx7yph1FeB5QfSXugh3vD/1ApP8x73lj51/OhkbKjc95qG0XjgX5GeceenJx3owJqUfdDxWN2xU7xmGl6+H4/afhQ8ZjfGN1VPOb/KR5Rf7Jb+Cq7UeO///6bzMzMLPfu2Nra8vPPP2cb+/r169m2v35d+b9Xz5LkWAghhBDiFaLksEVOJRQvM0mOhRBCCCFeIUUxP/Frr72GoaEhN27c0Nl/48YN7Oyy/+TBzs6uQO2VIjXHRSgiIoLSpUu/cJyoqChUKhV379594VhFKTExEZVKRWxsrF7iT5gwgbp16+olthBCCCFyZmJiQv369YmMjNTuU6vVREZG5rjybJMmTXTaA+zbt0/vK9VKcvwCrl+/zuDBg6latSqmpqY4ODgQFBSU5Qupb02bNiU5ORkbG+Vr6AqTg4MDycnJ1K5dG1A+6Q8NDS30r40QQghR3Ch5Q15BjBgxguXLl7NmzRri4uIYMGAAqamp2tVnu3fvzpgxY7Tthw4dyp49e5gzZw4///wzEyZM4OTJk9rVd/VFyiqeU2JiIt7e3pQuXZpZs2ZRp04dMjIy2Lt3L4MGDcqxuFxpGRkZmJiY6P0jhsJgaGiol+vQaDRkZmZq50gWQgghXmVFNYdv586d+euvvxg3bhzXr1+nbt267NmzR3vTXVJSEgYG/xu3bdq0KV999RWfffYZn3zyCS4uLmzbtk07iKYvMnL8nAYOHIhKpeL48eO0b9+e6tWrU6tWLUaMGMHRo0cBmDt3LnXq1MHS0hIHBwcGDhxISkpKrnHDw8OpVq0aJiYmuLq6sm7dOp3nVSoV4eHhvPPOO1haWjJ16tRsR1ijo6Np1qwZ5ubmODg4MGTIEFJTU/N1bU5OTkyZMoXu3btjZWVF5cqV2b59O3/99Rdt2rTBysoKd3d3Tp48qXPc5s2bqVWrFqampjg5OTFnzpwscadNm0avXr2wtrbG0dGRZcuWaZ9/tqwiMTERPz8/AMqUKYNKpSI4OBh4smrdkCFDqFChAmZmZrzxxhucOHFCG+fp67F7927q16+Pqakp0dHRWcoqgoODadu2LbNnz8be3p5y5coxaNAgnbmVk5OTadWqFebm5lSpUoWvvvoKJycn5s+fn6/XUgghhBD/ExISwq+//kpaWhrHjh2jUaNG2ueioqKIiIjQad+xY0fi4+NJS0vjwoULtGzZUu99lOT4Ody+fZs9e/YwaNAgLC0tszz/tI7YwMCAhQsXcvHiRdasWcOPP/7Ixx9/nGPcrVu3MnToUD766CMuXLhAv3796NmzJwcOHNBpN2HCBNq1a8f58+fp1atXljgJCQkEBgbSvn17zp07x8aNG4mOji7QxxDz5s3D29ubM2fO0KpVK7p160b37t354IMPOH36NNWqVaN79+48XUPm1KlTdOrUiffee4/z588zYcIExo4dm+WbfM6cOXh5eXHmzBkGDhzIgAEDiI+Pz3J+BwcHNm/eDEB8fDzJycksWLAAgI8//pjNmzezZs0aTp8+jbOzMwEBAdy+fVsnxujRo5k+fTpxcXG4u7tne50HDhwgISGBAwcOsGbNGiIiInT63L17d/7880+ioqLYvHkzy5Yty3ElHyGEEOJlUJTLR78MpKziOVy9ehWNRkONGjVybTds2DDt/5+Oxvbv35/Fixdn23727NkEBwczcOBAAO0o9OzZs7WjqADvv/++tj4H4JdfftGJExYWRteuXbXnd3FxYeHChfj4+BAeHo6ZWd7zr7Zs2ZJ+/foBMG7cOMLDw2nQoAEdO3YEYNSoUTRp0kR71+jcuXN56623GDv2yTyf1atX59KlS8yaNUs74vs07tPrGzVqFPPmzePAgQO4urrqnN/Q0JCyZcsCUKFCBe0bjtTUVMLDw4mIiODtt98GYPny5ezbt4+VK1cycuRIbYxJkybRokWLXK+zTJkyLFq0CENDQ2rUqEGrVq2IjIykb9++/Pzzz+zfv58TJ07g5eUFwIoVK3Bxcck1ZlpaWpbVgh5rMjFSKb8KmxBCCFFQBa0VftXIyPFzyO+K2/v37+ett96iUqVKWFtb061bN27dusWDBw+ybR8XF4e3t7fOPm9vb+Li4nT2PU3UcnL27FkiIiK0NbZWVlYEBASgVqu5du1avvr+7Ejr01qgOnXqZNn3dBQ1p75fuXKFzMz/LdP6bFyVSoWdnV2BRmITEhLIyMjQOZexsTENGzYs8OsEUKtWLQwN/5e02tvba/sTHx+PkZERnp6e2uednZ0pU6ZMrjGzWy3o8L1L+bo+IYQQQt80Cm4lkSTHz8HFxQWVSpXrTXeJiYm0bt0ad3d3Nm/ezKlTp/jiiy+AJ0sovojsSjmelZKSQr9+/YiNjdVuZ8+e5cqVK1SrVi1f5zA2Ntb+X6VS5bhPrS7YhyrPxngap6Ax8iuv10lf/RkzZgz37t3T2Zra1HyhmEIIIYQoHJIcP4eyZcsSEBDAF198ke1Nbnfv3uXUqVOo1WrmzJlD48aNqV69On/++Weucd3c3IiJidHZFxMTQ82aBUusPD09uXTpEs7Ozlk2ExOTAsXKr5z6Xr16dZ2R2YJ42tdnR56f3qz47LkyMjI4ceJEgV+nvLi6uvL48WPOnDmj3Xf16lXu3LmT63GmpqaUKlVKZ5OSCiGEEMWF1BznTpLj5/TFF1+QmZlJw4YN2bx5M1euXCEuLo6FCxfSpEkTnJ2dycjI4PPPP+eXX35h3bp1LFmyJNeYI0eOJCIigvDwcK5cucLcuXPZsmULoaGhBerbqFGjOHz4MCEhIcTGxnLlyhW+++47vc4L+NFHHxEZGcnkyZO5fPkya9asYdGiRQXu+7MqV66MSqVix44d/PXXX6SkpGBpacmAAQMYOXIke/bs4dKlS/Tt25cHDx7Qu3dvBa8IatSogb+/Px9++CHHjx/nzJkzfPjhh5ibm2tHzoUQQoiXjUbBfyWRJMfPqWrVqpw+fRo/Pz8++ugjateuTYsWLYiMjCQ8PBwPDw/mzp3LjBkzqF27NuvXrycsLCzXmG3btmXBggXMnj2bWrVqsXTpUlavXo2vr2+B+ubu7s7Bgwe5fPkyzZo1o169eowbN46KFSu+wBXnztPTk02bNrFhwwZq167NuHHjmDRpks7NeAVVqVIlJk6cyOjRo7G1tdUm99OnT6d9+/Z069YNT09Prl69yt69e/OsBX4ea9euxdbWlubNm9OuXTv69u2LtbV1vm5qFEIIIcTLR6XJ791lQgh+//13HBwctDdb5tdnTu8r3hfbTGXf225Q51728zz0cUd0XePyisd8RGbejQrIAeXfQD3Qw4eYj/QQ87bmxe6ryM5DzWNF43mj/Iqi/xgo//0+9uRkxWO2qPuh4jG7ovwCTmeMlP8+StXDz/q1jLuKx/zpD/2u5hri1FmxWIsSNyoWq7iQqdyEyMWPP/5ISkoKderUITk5mY8//hgnJyeaN29e1F0TQgghnotM5ZY7SY5fMYcOHdLOD5ydvFbwe9VkZGTwySef8Msvv2BtbU3Tpk1Zv359llkuhBBCCFEySHL8ivHy8iI2Nraou/HSCAgIICAgoKi7IYQQQihGxo1zJ8nxK8bc3BxnZ+ei7oYQQgghioiUVeROkmMhCoGpRvmp35polC2B+aCx8jdm/X7aWvGY4Xr4nT44U9mbvQAGq5MVj1lfDzcjWuph0qI+erjpydZR2e/3Vb+VUjQeQMCjtLwbFZA+bp7bF7tM8ZgDvUYpHlMf02lV0yh/o+zSbQMVjymKliTHQgghhBCvkJK6eIdSJDkWQgghhHiFlNTFO5QiybEQQgghxCtERo5zJyvkiRInKioKlUrF3bt3833MhAkTqFu3rt76JIQQQoiXgyTHokgtWbIEa2trHj/+3w1RKSkpGBsbZ1k2+2nSm5CQkGvMpk2bkpycjI2Nsitg+fr6MmzYMEVjCiGEEIVNo+C/kkiSY1Gk/Pz8SElJ4eTJk9p9hw4dws7OjmPHjvHo0SPt/gMHDuDo6Ei1atVyjWliYoKdnR0qlfIzRAghhBAvO7WCW0kkybEoUq6urtjb2xMVFaXdFxUVRZs2bahSpQpHjx7V2e/n54darSYsLIwqVapgbm6Oh4cH3377rU67/5ZVLF++HAcHBywsLGjXrh1z586ldOnSWfqzbt06nJycsLGx4b333uP+/fsABAcHc/DgQRYsWIBKpUKlUpGYmKj0yyGEEEKIIibJsShyfn5+HDhwQPv4wIED+Pr64uPjo93/8OFDjh07hp+fH2FhYaxdu5YlS5Zw8eJFhg8fzgcffMDBgwezjR8TE0P//v0ZOnQosbGxtGjRgqlTp2Zpl5CQwLZt29ixYwc7duzg4MGDTJ8+HYAFCxbQpEkT+vbtS3JyMsnJyTg4OOjh1RBCCCH0S63RKLaVRDJbhShyfn5+DBs2jMePH/Pw4UPOnDmDj48PGRkZLFmyBIAjR46QlpaGr68vNWvWZP/+/TRp0gSAqlWrEh0dzdKlS/Hx8ckS//PPP+ftt98mNDQUgOrVq3P48GF27Nih006tVhMREYG19ZOFK7p160ZkZCRTp07FxsYGExMTLCwssLOzy/V60tLSSEvTXQzgsSYTI5Xh871AQgghhIJKZkqrHBk5FkXO19eX1NRUTpw4waFDh6hevTrly5fHx8dHW3ccFRVF1apVSUlJ4cGDB7Ro0QIrKyvttnbt2hxv1IuPj6dhw4Y6+/77GMDJyUmbGAPY29tz8+bNAl9PWFgYNjY2OttP9y4WOI4QQgghCp+MHIsi5+zszOuvv86BAwe4c+eOdvS3YsWKODg4cPjwYQ4cOMCbb75JSsqTJWR37txJpUqVdOKYmpq+UD+MjY11HqtUKtTqgt9uMGbMGEaMGKGzb05t5ZeAFUIIIZ6HWsaOcyXJsSgW/Pz8iIqK4s6dO4wcOVK7v3nz5uzevZvjx48zYMAAatasiampKUlJSdmWUGTH1dWVEydO6Oz77+P8MDExITMzM892pqamWRJ1KakQQghRXJTUKdiUIsmxKBb8/PwYNGgQGRkZOkmvj48PISEhpKen4+fnh7W1NaGhoQwfPhy1Ws0bb7zBvXv3iImJoVSpUvTo0SNL7MGDB9O8eXPmzp1LUFAQP/74I7t37y7wVG9OTk4cO3aMxMRErKysKFu2LAYGUpkkhBBClCTyl10UC35+fjx8+BBnZ2dsbW21+318fLh//752yjeAyZMnM3bsWMLCwnBzcyMwMJCdO3dSpUqVbGN7e3uzZMkS5s6di4eHB3v27GH48OGYmZkVqI+hoaEYGhpSs2ZNypcvT1JS0vNfsBBCCFFEZJ7j3Kk0mhI6D4cQuejbty8///wzhw4dKpTzTa7cVfGYb2emKhqvWqO7isYD+P20dd6NCihcY654zD6ZaXk3KqDB6vuKx6xvXF7xmOZ6GCPpolH2exPA1kHZ13PVbxUVjQfgm6b899GnRncVj7kvdpniMQd6jVI8pj5G7yppTBSP+fG37yoe06xBe8VjPqtj5TaKxfrm1+8Ui1VcSFmFeCXMnj2bFi1aYGlpye7du1mzZg2LFy8u6m4JIYQQhU5qjnMnybF4JRw/fpyZM2dy//59qlatysKFC+nTp09Rd0sIIYQQxYwkx+KVsGnTpqLughBCCFEslNRaYaVIzbEQhWCSHmqO01TK/uhe1TxQNB5AqiZD8ZgtNWUUj7lZU/DFXvIyKqOs4jEPmitfhWmhKdisLfmRrHqseMxOj5T9c37QVPnaU4fHyr+WGcqH5LiR8rXRi0/OUDzmqrrjFI9ZNlP5lOcLwxuKx4z6fb/iMZ/VzjFIsVhbk75XLFZxIbNVCCGEEEII8S8pqxBCCCGEeIXICnm5k+RYCCGEEOIVIjXHuXslyyoiIiIoXbq03uJHRUWhUqm4e/euIvESExNRqVTExsYqEu95TJgwgbp16+a7vb5fYwBfX1+GDRum13P8V3BwMG3bti3UcwohhBCi8JTY5Dg4OBiVSoVKpcLExARnZ2cmTZrE48fK3yjyX02bNiU5ORkbGxu9n0sfVCoV27Zt09kXGhpKZGRkvmN07tyZy5cvax8XNLkWQgghhH5oFPxXEpXosorAwEBWr15NWloau3btYtCgQRgbG2uXIdYXExMT7Ozs9HqOwmZlZYWVlVW+25ubm2NurvxKZkIIIYR4MVJznLsSO3IMYGpqip2dHZUrV2bAgAH4+/uzfft27fN79+7Fzc0NKysrAgMDSU5OBuCnn37C2NiY69ev68QbNmwYzZo1A+DXX38lKCiIMmXKYGlpSa1atdi1axeQfVlFTEwMvr6+WFhYUKZMGQICArhz5w4Ae/bs4Y033qB06dKUK1eO1q1bk5CQ8FzXnJmZSe/evalSpQrm5ua4uv4/e3cdF8X2/gH8s3SXCijSGIAYmNdExRYwrolB2YiiYlwDURT1ih2YgK3XTgwEFExEQlGkFAsbFVDy/P7gy/xYl9gdZl3U8/a1rxfMzj5zdtl1z5x5znMaYf369QL77d69G5aWlpCXl0fdunXh7u4OADAyMgIADBw4EDwej/m97MjvpUuXoKCgIJA2Mm3aNHTr1g0Af1pFUFAQfHx8EBcXx4zmBwUFwcXFBf379+eLUVBQAG1tbezatUvk556Xl4dZs2ZBT08PysrKaNu2LcLDwwEAX758gaKiIi5cuMD3mBMnTkBVVRW5uSVlzJ4/f46hQ4dCQ0MDWlpacHBwwNOnT0VuC0VRFEVRv6bfunP8I0VFReTn5wMAcnNzsXr1auzduxfXrl1DRkYGZs2aBQDo3LkzTExMsHfvXuaxBQUF2L9/P1xcXAAAU6ZMQV5eHq5du4aEhASsXLmywpHV2NhYdO/eHRYWFrh58yYiIyNhZ2eHoqIiAEBOTg5mzJiB6OhohIaGQkpKCgMHDkRxsegp88XFxahfvz7+++8/JCYmYtGiRfjnn3/4FsHYunUrpkyZgvHjxyMhIQGnT5+GmZkZAODu3bsAgMDAQLx+/Zr5vazu3btDQ0MDx44dY7YVFRXh8OHDcHQUrOc7bNgwzJw5E5aWlnj9+jVev36NYcOGwc3NDSEhIcxJCQCcPXsWubm5GDZsmMjP3d3dHTdv3sShQ4cQHx+PIUOGoHfv3khOToaamhr69++PAwcO8D1m//79GDBgAJSUlFBQUIBevXpBVVUV169fR1RUFHPiVPq+oSiKoqhfHSGEs5u4fPz4EY6OjlBTU4OGhgZcXV2RnZ1d6f5Tp05Fo0aNoKioCAMDA3h4eODz588iH/u3TqsoRQhBaGgoLl68iKlTpwIo6ewGBATA1NQUQEnHasmSJcxjXF1dERgYCC8vLwDAmTNn8P37dwwdOhQAkJGRgcGDB8PKygoAYGJiUuHxV61ahVatWmHLli3MNktLS+bnwYMH8+2/e/du1KlTB4mJiWjSpIlIz1VWVhY+Pj7M78bGxrh58yaOHDnCtN3X1xczZ87EtGnTmP1at24NAKhTpw4AQENDo8LUEGlpaQwfPhwHDhyAq6srACA0NBRZWVkCzwUoOSlRUVGBjIwMX8z27dujUaNG2Lt3L2bPng2gpFM+ZMgQkVI4gJK/R2BgIDIyMlCvXj0AJXnSISEhCAwMxPLly+Ho6IjRo0cjNzcXSkpK+PLlC86dO4cTJ04AAA4fPozi4mLs3LkTPB6PaY+GhgbCw8PRs2dPodqSl5eHvDz+IvuFpAgyPGmRnhNFURRFicOvUK3C0dERr1+/xuXLl1FQUABnZ2eMHz9eYJCr1KtXr/Dq1SusXr0aFhYWePbsGSZOnIhXr17h6NGjIh37tx45Pnv2LFRUVKCgoIA+ffpg2LBhWLx4MQBASUmJ6RgDQN26dfH27f+vkuXk5ISUlBTcunULQElqwNChQ6GsrAwA8PDwgK+vLzp06ABvb2/Ex8dX2I7SkeOKJCcnY8SIETAxMYGamhqTypCRkcHqeW/evBktW7ZEnTp1oKKigu3btzOx3r59i1evXlXaHmE4OjoiPDwcr169AlAyAtuvXz+RK1S4ubkhMDAQAPDmzRtcuHCBGZ0XRUJCAoqKitCwYUMmP1pFRQURERFMikrfvn0hKyvLpNYcO3YMampqsLW1BQDExcUhJSUFqqqqzOO1tLTw/ft3kdJc/Pz8oK6uzne7/vmhyM+JoiiKosShpk/Ie/ToEUJCQrBz5060bdsWHTt2xMaNG3Ho0CGm3/GjJk2a4NixY7Czs4OpqSm6deuGZcuW4cyZMyIXY/itO8ddu3ZFbGwskpOT8e3bNwQHBzOdW1lZWb59eTwe3+UBbW1t2NnZITAwsNxOm5ubG9LS0jB69GgkJCSgVatW2LhxY7ntqGpimp2dHT5+/IgdO3bg9u3buH37NgCwupR/6NAhzJo1C66urrh06RJiY2Ph7OzMxOJqklzr1q1hamqKQ4cO4du3bzhx4kS5KRVVGTNmDNLS0nDz5k3s27cPxsbGTF63KLKzsyEtLY179+4hNjaWuT169IjJuZaTk8Pff//NnHUeOHAAw4YNg4yMDBOjZcuWfI+PjY3FkydPMHLkSKHbMm/ePHz+/Jnv1kndsuoHUhRFUdQvJi8vD1++fOG7/Xj1VFQ3b96EhoYGWrVqxWyztbWFlJQU00cSxufPn6GmpsZ8zwvrt06rUFZWZnJp2XBzc8OIESNQv359mJqaokOHDnz36+vrY+LEiZg4cSLmzZuHHTt2MGkbZTVt2hShoaF86Q6lPnz4gKSkJOzYsYPpFEZGRrJuc1RUFNq3b4/Jkycz28qOeqqqqsLIyAihoaHo2rVruTFkZWWZfOjKODo6Yv/+/ahfvz6kpKTQr1+/CveVk5MrN2atWrUwYMAABAYG4ubNm3B2dq7yuOVp0aIFioqK8Pbt20o7146OjujRowcePnyIq1evwtfXl7nP2toahw8fhra2NtTU1Fi1AyiZCCovL8+3jaZUUBRFUTUFl9Uq/Pz8BPo33t7ezJV6NjIzM6Gtrc23TUZGBlpaWgLFEiry/v17LF26FOPHjxf5+L/1yHF19erVC2pqavD19RXotE2fPh0XL15Eeno6YmJiEBYWBnNz83LjzJs3D3fv3sXkyZMRHx+Px48fY+vWrXj//j00NTVRq1YtbN++HSkpKbh69SpmzJjBus0NGjRAdHQ0Ll68iCdPnmDhwoUCk+oWL14Mf39/bNiwAcnJyYiJieEb9S7tPGdmZjIVNcrj6OiImJgYLFu2DH///bdAh7AsIyMjpKenIzY2Fu/fv+c7q3Rzc0NwcDAePXqEsWPHsnreDRs2hKOjI8aMGYPjx48jPT0dd+7cgZ+fH86dO8fs17lzZ+jq6sLR0RHGxsZo27Yt3/OpXbs2HBwccP36daSnpyM8PBweHh548eIFq3ZRFEVRVE3D5YS88q6Wzps3r9zjzp07l6laVdHt8ePH1X5+X758Qb9+/WBhYcGqk047x5WQkpKCk5MTioqKMGbMGL77ioqKMGXKFJibm6N3795o2LAh34S7sho2bIhLly4hLi4Obdq0wV9//YVTp05BRkYGUlJSOHToEO7du4cmTZrA09MT//77L+s2T5gwAYMGDcKwYcPQtm1bfPjwgW8UGQDGjh2LdevWYcuWLbC0tET//v2RnJzM3O/v74/Lly9DX18fLVq0qPBYZmZmaNOmDeLj46tMqRg8eDB69+6Nrl27ok6dOjh48CBzn62tLerWrYtevXoxk+nYCAwMxJgxYzBz5kw0atQIAwYMwN27d2FgYMDsw+PxMGLECMTFxQm0WUlJCdeuXYOBgQEGDRoEc3NzuLq64vv379UaSaYoiqKo35W8vDzU1NT4bhUNls2cOROPHj2q9GZiYgJdXV2+eWAAUFhYiI8fP1a5jsTXr1/Ru3dvqKqq4sSJEwJptMLgEXHW4fgNuLq64t27d3z1kSluZWdnQ09PD4GBgRg0aJCkmyMWSwxFz8euSh6P249uCsnlNB4A5JACzmP2JZqcxzxG3la9k4jmFGhxHjNCkfvxDCXC4zzmax73K5EO/c7t/PoIeTlO4wGAfiH3r2UB9yFxR6Z6+aDl2RK9kvOYu5sv4jymVhH3XZ7N0m84jxn+4grnMcvqWr8HZ7HCXlzmLFapR48ewcLCAtHR0WjZsiWAkjUWevfujRcvXlQ4kPblyxf06tUL8vLyOH/+PJSUlFgdn44cV+Dz58+IjIzEgQMHys0jpqqvuLgYb9++xdKlS6GhoQF7e3tJN4miKIqifns1vVpF6VX5cePG4c6dO4iKioK7uzuGDx/OdIxfvnyJxo0b486dOwBKOsY9e/ZETk4Odu3ahS9fviAzMxOZmZlCzaMq67eekFcdDg4OuHPnDiZOnIgePbg7w6quiRMnYt++feXeN2rUKAQEBPzkFrGXkZEBY2Nj1K9fH0FBQXyzSTMyMmBhYVHhYxMTE/nSJSiKoiiK+n3s378f7u7u6N69O6SkpDB48GBs2LCBub+goABJSUnMCrcxMTFMJYsfizGkp6czZXKFQTvHFShddrimWbJkCbOS349+tbxYIyOjClfXqVevHmJjYyt8bHVykymKoijqT1b8C2TUamlpVbjgByDYh7CxseFsxT7aOf7FaGtrC5Q3+R3JyMhUqwwfRVEURVHlq/ldY8minWOK+gmUxTDpKYPH7aSa5hBtyW5h8MQwmcjliB3nMY8P2c15zFsK3Ne25onhKy1PDH8jOXAfNKqSUpFsiD5/vWpxstxPRMwTw0K/4phsJI7Jcy6xSziPubjVAs5j1ie/1lVbqmq0c0xRFEVRFPUH4XIRkN8R7RxTFEVRFEX9QWjnuHK0c0xRFEVRFPUHoUtcVI7WOebQ4sWL0bx589/mONX1q7SToiiKoiiq1B/XOa5qTW82a3BTJa/ryZMn+bbNmjULoaGhkmkQRVEURVHlKgbh7PY7+uPSKl6/fs38fPjwYSxatAhJSUnMNhUV7mfs/6lUVFTo60lRFEVRNYy4Vrb7XfxxI8e6urrMTV1dHTwej2/boUOHYG5uDgUFBTRu3Bhbtmzhe/yLFy8wYsQIaGlpQVlZGa1atWJWZCm1d+9eGBkZQV1dHcOHD8fXr1+Z+2xsbODh4YHZs2dDS0sLurq6AqPVGRkZcHBwgIqKCtTU1DB06FC8eVPx2u3FxcVYsmQJ6tevD3l5eTRv3hwhISF8+9y4cQPNmzeHgoICWrVqhZMnT4LH4yE2NhaEEJiZmWH16tV8j4mNjQWPx0NKSkqlr2npqjMDBw4Ej8djfv8xrcLJyQkDBgzA8uXLoaOjAw0NDSxZsgSFhYXw8vKClpYW6tevj8DAQL74z58/x9ChQ6GhoQEtLS04ODjg6dOnlbaplI2NDaZPn863bcCAAXBycmJ+37JlCxo0aAAFBQXo6Ojg77//Zu4rLi6Gn58fjI2NoaioiGbNmuHo0aNCHZuiKIqiqF/PH9c5rsz+/fuxaNEiLFu2DI8ePcLy5cuxcOFCBAcHAwCys7PRpUsXvHz5EqdPn0ZcXBxmz56N4uL/r0OZmpqKkydP4uzZszh79iwiIiKwYsUKvuMEBwdDWVkZt2/fxqpVq7BkyRJcvnwZQElnzMHBAR8/fkRERAQuX76MtLQ0DBs2rMJ2r1+/Hv7+/li9ejXi4+PRq1cv2NvbIzk5GUDJeuN2dnawsrJCTEwMli5dijlz5jCP5/F4cHFxEeiUBgYGonPnzlUuxnH37l1m/9evXzO/l+fq1at49eoVrl27hjVr1sDb2xv9+/eHpqYmbt++jYkTJ2LChAl48eIFgJLlIXv16gVVVVVcv34dUVFRUFFRQe/evZGfn19pu4QRHR0NDw8PLFmyBElJSQgJCUHnzp2Z+/38/LBnzx4EBATg4cOH8PT0xKhRoxAREVHtY1MURVGUJBBCOLv9jv64tIrKeHt7w9/fH4MGDQIAGBsbIzExEdu2bcPYsWNx4MABvHv3Dnfv3oWWlhYAwfW7i4uLERQUBFVVVQDA6NGjERoaimXLljH7NG3aFN7e3gCABg0aYNOmTQgNDUWPHj0QGhqKhIQEpKenQ19fHwCwZ88eWFpa4u7du2jdurVAu1evXo05c+Zg+PDhAICVK1ciLCwM69atw+bNm3HgwAHweDzs2LEDCgoKsLCwwMuXLzFu3DgmhpOTExYtWoQ7d+6gTZs2KCgowIEDBwRGk8tTp04dAICGhgZ0dXUr3VdLSwsbNmyAlJQUGjVqhFWrViE3Nxf//PMPAGDevHlYsWIFIiMjMXz4cBw+fBjFxcXYuXMneP9bUSIwMBAaGhoIDw9Hz549q2xfZTIyMqCsrIz+/ftDVVUVhoaGaNGiBQAgLy8Py5cvx5UrV/DXX38BAExMTBAZGYlt27ahS5cu5cbMy8tDXh7/Ah2FpAgyPO4XhaAoiqIoUf2uucJcoSPH/5OTk4PU1FS4uroyubIqKirw9fVFamoqgJI0gxYtWjAd4/IYGRkxHWMAqFu3Lt6+fcu3T9OmTfl+L7vPo0ePoK+vz3SMAcDCwgIaGhp49OiRwPG+fPmCV69eoUOHDnzbO3TowOyflJSEpk2bQkFBgbm/TZs2fPvXq1cP/fr1w+7dJSuFnTlzBnl5eRgyZEiFz5UNS0tLSEn9/9tOR0cHVlZWzO/S0tKoVasW83rExcUhJSUFqqqqzN9ES0sL379/Z/4u1dGjRw8YGhrCxMQEo0ePxv79+5GbmwsASElJQW5uLnr06MH3ntizZ0+lx/bz84O6ujrfLfTLw2q3laIoiqIo8aMjx/+TnZ0NANixYwfatm3Ld5+0dMmIn6KiYpVxZGX5FyXl8Xh8aRfC7iMJbm5uGD16NNauXYvAwEAMGzYMSkpKnB6jvOde2euRnZ2Nli1bYv/+/QKxSkesKyMlJSVw2aegoID5WVVVFTExMQgPD8elS5ewaNEiLF68GHfv3mXeE+fOnYOenh5fDPlKlrKdN28eZsyYwbdtq+WEKttKURRFUT/D75oOwRXaOf4fHR0d1KtXD2lpaXB0dCx3n6ZNm2Lnzp34+PFjpaPH1WFubo7nz5/j+fPnzOhxYmIisrKyYGFhIbC/mpoa6tWrh6ioKL7L/FFRUczocKNGjbBv3z7k5eUxnbry8oL79u0LZWVlbN26FSEhIbh27ZrQ7ZaVlUVRUZFIz1UY1tbWOHz4MLS1taGmJvr69XXq1OGrUFJUVIQHDx6ga9euzDYZGRnY2trC1tYW3t7e0NDQwNWrV9GjRw/Iy8sjIyOjwhSK8sjLywt0nmlKBUVRFFVT0LSKytG0ijJ8fHzg5+eHDRs24MmTJ0hISEBgYCDWrFkDABgxYgR0dXUxYMAAREVFIS0tDceOHcPNmzc5a4OtrS2srKzg6OiImJgY3LlzB2PGjEGXLl3QqlWrch/j5eWFlStX4vDhw0hKSsLcuXMRGxuLadOmAQBGjhyJ4uJijB8/Ho8ePcLFixeZXOLSPF6gZITcyckJ8+bNQ4MGDZg8W2EYGRkhNDQUmZmZ+PTpUzVeAX6Ojo6oXbs2HBwccP36daSnpyM8PBweHh7MpL3KdOvWDefOncO5c+fw+PFjTJo0CVlZWcz9Z8+exYYNGxAbG4tnz55hz549KC4uRqNGjaCqqopZs2bB09MTwcHBSE1NRUxMDDZu3MhM0qQoiqIo6vdCO8dluLm5YefOnQgMDISVlRW6dOmCoKAgGBsbAwDk5ORw6dIlaGtro2/fvrCyssKKFSuYtAsu8Hg8nDp1CpqamujcuTNsbW1hYmKCw4cPV/gYDw8PzJgxAzNnzoSVlRVCQkJw+vRpNGjQAEDJ6PKZM2cQGxuL5s2bY/78+Vi0aBEA8OUhA4Crqyvy8/Ph7OwsUrv9/f1x+fJl6OvrMxPauKCkpIRr167BwMAAgwYNgrm5OVxdXfH9+3ehRpJdXFwwduxY5gTDxMSEb9RYQ0MDx48fR7du3WBubo6AgAAcPHgQlpaWAIClS5di4cKF8PPzg7m5OXr37o1z584x7wmKoiiK+tUQDv/9jniEJp78kfbv3w9nZ2d8/vyZL5f6+vXr6N69O54/fw4dHR0JtvD34m8wivOYj6S+cxrPlChUvZOIeFXvIrLph+04j9l/yG7OY3aWqs15zHwe9/9dS4nhr5QN7lOs6hBuswDF8d58wyvkPGYeuJ+PUiSGDo11YcXzMNhyiV3CeczFrRZwHvMZ4fb/YgDY9+w45zHLaqLTjrNYD97c4ixWTUFzjv8Qe/bsgYmJCfT09BAXF4c5c+Zg6NChTMc4Ly8P7969w+LFizFkyBDaMaYoiqKo39TvOuLLFZpW8YfIzMzEqFGjYG5uDk9PTwwZMgTbt29n7j948CAMDQ2RlZWFVatW8T12//79fKXMyt5K0w8kpaJ2qaio4Pr16xJtG0VRFEVRvx46cvyHmD17NmbPnl3h/U5OTnxLKpdlb28vUN6u1I9l2H622NjYCu/7sfwaRVEURVFAMc2orRTNOaaon6B7/eqt5FeeuC9POY23WL1N1TuJKFsM16byxXA5sEke9zGfyXH/5N9KcZ9/+lwM+ZJNwW19dACY4sxtHnPAbu7LK8qJ4ds0Wvob5zHFMb/APJ/zkIiV5/4FXRzty3nMkS09OY/537NTnMcsq7G24Gq7bD1+K1ga9ldH0yooiqIoiqIo6n9oWgVFURRFUdQfhKZVVI52jimKoiiKov4gtFpF5WhaBfXHsrGxwfTp0yXdDIqiKIqiahDaOaYkKjMzE9OmTYOZmRkUFBSgo6ODDh06YOvWrcjNzZV08yiKoijqt1NMCGe33xFNq6AkJi0tDR06dICGhgaWL18OKysryMvLIyEhAdu3b4eenh7s7e0l3cwKFRUVgcfjQUqKnmNSFEVRvw6aVlE5+q1OSczkyZMhIyOD6OhoDB06FObm5jAxMYGDgwPOnTsHO7uSZYKzsrLg5uaGOnXqQE1NDd26dUNcXBwTZ/HixWjevDn27t0LIyMjqKurY/jw4fj69SuzT05ODsaMGQMVFRXUrVsX/v7+Au3Jy8vDrFmzoKenB2VlZbRt2xbh4eHM/UFBQdDQ0MDp06dhYWEBeXl5ZGRkiO8FoiiKoijqp6OdY0oiPnz4gEuXLmHKlClQVlYudx8ejwcAGDJkCN6+fYsLFy7g3r17sLa2Rvfu3fHx40dm39TUVJw8eRJnz57F2bNnERERgRUrVjD3e3l5ISIiAqdOncKlS5cQHh6OmJgYvuO5u7vj5s2bOHToEOLj4zFkyBD07t0bycnJzD65ublYuXIldu7ciYcPH0JbW5vLl4WiKIqixI6QYs5uvyOaVkFJREpKCgghaNSoEd/22rVr4/v3kkUJpkyZAjs7O9y5cwdv376FvLw8AGD16tU4efIkjh49ivHjxwMAiouLERQUBFVVVQDA6NGjERoaimXLliE7Oxu7du3Cvn370L17dwBAcHAw6tevzxw3IyMDgYGByMjIQL169QAAs2bNQkhICAIDA7F8+XIAQEFBAbZs2YJmzZpV+Nzy8vKQl5fHt62YFEOKR89FKYqiKMkrpmkVlaKdY6pGuXPnDoqLi+Ho6Ii8vDzExcUhOzsbtWrV4tvv27dvSE1NZX43MjJiOsYAULduXbx9+xZAyahyfn4+3xLYWlpafB3zhIQEFBUVoWHDhnzHycvL4zu2nJwcmjZtWulz8PPzg4+PD982I1UTmKiZVvX0KYqiKErs6OLIlaOdY0oizMzMwOPxkJSUxLfdxMQEAKCoqAgAyM7ORt26dflyf0tpaGgwP8vKyvLdx+PxUFws/OWe7OxsSEtL4969e5CW5l9WVkVFhflZUVGRSfeoyLx58zBjxgy+bQ7mg4RuC0VRFEVRkkM7x5RE1KpVCz169MCmTZswderUCvOOra2tkZmZCRkZGRgZGbE6lqmpKWRlZXH79m0YGBgAAD59+oQnT56gS5cuAIAWLVqgqKgIb9++RadOnVgdp5S8vDyTAlKKplRQFEVRNQVNq6gc/camJGbLli0oLCxEq1atcPjwYTx69AhJSUnYt28fHj9+DGlpadja2uKvv/7CgAEDcOnSJTx9+hQ3btzA/PnzER0dLdRxVFRU4OrqCi8vL1y9ehUPHjyAk5MTXwm2hg0bwtHREWPGjMHx48eRnp6OO3fuwM/PD+fOnRPXS0BRFEVRPx0hhLPb74iOHFMSY2pqivv372P58uWYN28eXrx4AXl5eVhYWGDWrFmYPHkyeDwezp8/j/nz58PZ2Rnv3r2Drq4uOnfuDB0dHaGP9e+//yI7Oxt2dnZQVVXFzJkz8fnzZ759AgMD4evri5kzZ+Lly5eoXbs22rVrh/79+3P91CmKoiiKqqF45Hft9lNUDdK9fk/OY8Z9ecppvMXqbTiNBwDZYrg2lS+Gy4FN8riP+UyO+yf/Vor7sknPyXfOYzaFEucxpzgXcRovYLd01TuJSE4M36bR0t84j2lKFDiPaZ7PeUjEynP/gi6O9uU85siWnpzH/O/ZKc5jllVXw4KzWK+zEjmLVVPQkWOKoiiKoqg/CF0hr3I055iiKIqiKIqi/oeOHFMURVEURf1BaEZt5WjnmKIoiqIo6g9CS7lVjnaOKeonsJfS5jzmxjqyVe8kAr3OmZzGA4D0q9xPzNrAk+M85nDNbM5jBnAfEpbQ4DymFo/b9xEADFZ5x3nMk9vrcBrvoxz3kxu7fOM+5n8yWZzH3HZyMucxew/cynnM+kSN85jimDx34N5azmNSwMePHzF16lScOXMGUlJSGDx4MNavX8+3MFdFCCHo27cvQkJCcOLECQwYMECkY9OcY4qiKIqiqD/Ir1Dn2NHREQ8fPsTly5dx9uxZXLt2DePHjxfqsevWratyNdvK0JFjiqIoiqKoP0hxDc85fvToEUJCQnD37l20atUKALBx40b07dsXq1evRr169Sp8bGxsLPz9/REdHY26deuyOj4dOaY4wePxcPLkSUk3gxM2NjaYPn26pJtBURRFUWLB5chxXl4evnz5wnfLy8urVvtu3rwJDQ0NpmMMALa2tpCSksLt27crfFxubi5GjhyJzZs3Q1dXl/XxaeeYqpSTkxN4PB54PB5kZWWho6ODHj16YPfu3Sgu/v/8utevX6NPnz4SbKnowsPDwePxkJWVxbf9+PHjWLp0qWQaRVEURVG/ED8/P6irq/Pd/Pz8qhUzMzMT2tr8c3VkZGSgpaWFzMyK58d4enqiffv2cHBwqNbxaeeYqlLv3r3x+vVrPH36FBcuXEDXrl0xbdo09O/fH4WFhQAAXV1dyMvLS7il3NDS0oKqqqqkm0FRFEVRYlEMwtlt3rx5+Pz5M99t3rx55R537ty5zIBbRbfHjx+zek6nT5/G1atXsW7dumq8MiVo55iqkry8PHR1daGnpwdra2v8888/OHXqFC5cuICgoCAAgmkVc+bMQcOGDaGkpAQTExMsXLgQBQUFfHF9fX2hra0NVVVVuLm5Ye7cuWjevDlzv5OTEwYMGIDVq1ejbt26qFWrFqZMmcIX59OnTxgzZgw0NTWhpKSEPn36IDk5mbn/2bNnsLOzg6amJpSVlWFpaYnz58/j6dOn6Nq1KwBAU1MTPB4PTk5OAATTKvLy8jBnzhzo6+tDXl4eZmZm2LVrFzcvLkVRFEX9ZFymVcjLy0NNTY3vVtFg2cyZM/Ho0aNKbyYmJtDV1cXbt2/5HltYWIiPHz9WmC5x9epVpKamQkNDAzIyMpCRKZlWN3jwYNjY2Ij0+tAJeRQr3bp1Q7NmzXD8+HG4ubkJ3K+qqoqgoCDUq1cPCQkJGDduHFRVVTF79mwAwP79+7Fs2TJs2bIFHTp0wKFDh+Dv7w9jY2O+OGFhYahbty7CwsKQkpKCYcOGoXnz5hg3bhyAkg50cnIyTp8+DTU1NcyZMwd9+/ZFYmIiZGVlMWXKFOTn5+PatWtQVlZGYmIiVFRUoK+vj2PHjmHw4MFISkqCmpoaFBUVy32uY8aMwc2bN7FhwwY0a9YM6enpeP/+PcevKEVRFEX93urUqYM6daouy/jXX38hKysL9+7dQ8uWLQGUdH6Li4vRtm3bch8zd+5cgf6IlZUV1q5dCzs7O5HaSTvHFGuNGzdGfHx8ufctWLCA+dnIyAizZs3CoUOHmM7xxo0b4erqCmdnZwDAokWLcOnSJWRn8xeH1dTUxKZNmyAtLY3GjRujX79+CA0Nxbhx45hOcVRUFNq3bw+gpNOtr6+PkydPYsiQIcjIyMDgwYNhZWUFADAxMWFia2lpAQC0tbWhoaFR7vN48uQJjhw5gsuXL8PW1lYgBkVRFEX9amp6tQpzc3P07t0b48aNQ0BAAAoKCuDu7o7hw4czlSpevnyJ7t27Y8+ePWjTpg10dXXLHVU2MDAQGHirCk2roFgjhFRYR/Dw4cPo0KEDdHV1oaKiggULFiAjI4O5PykpCW3atOF7zI+/A4ClpSWkpaWZ3+vWrctcann06BFkZGT4ziJr1aqFRo0a4dGjRwAADw8P+Pr6okOHDvD29q6wM1+R2NhYSEtLo0uXLkI/pryZu4WkSKTjUhRFUZS4EA7/icv+/fvRuHFjdO/eHX379kXHjh2xfft25v6CggIkJSUhNzeX82PTzjHF2qNHj8o9G7t58yYcHR3Rt29fnD17Fvfv38f8+fORn58v8jFkZflX7+LxeHxVMqri5uaGtLQ0jB49GgkJCWjVqhU2btwo9OMrSrWoTHkzdy9/eShyHIqiKIr6U2lpaeHAgQP4+vUrPn/+jN27d/OtjmdkZARCSKX5xIQQkVfHA2jnmGLp6tWrSEhIwODBgwXuu3HjBgwNDTF//ny0atUKDRo0wLNnz/j2adSoEe7evcu37cffq2Jubo7CwkK+mocfPnxAUlISLCwsmG36+vqYOHEijh8/jpkzZ2LHjh0AADm5kmWIi4oqHtW1srJCcXExIiIihG5XeTN3e6hZivTcKIqiKEpcignh7PY7ojnHVJXy8vKQmZmJoqIivHnzBiEhIfDz80P//v0xZswYgf0bNGiAjIwMHDp0CK1bt8a5c+dw4sQJvn2mTp2KcePGoVWrVmjfvj0OHz6M+Ph4kfJ5GzRoAAcHB4wbNw7btm2Dqqoq5s6dCz09PabG4fTp09GnTx80bNgQnz59QlhYGMzNzQEAhoaG4PF4OHv2LPr27QtFRUWBNduNjIwwduxYuLi4MBPynj17hrdv32Lo0KHltkteXl5gpq4MT7rcfSmKoijqZxPnss+/AzpyTFUpJCQEdevWhZGREXr37o2wsDBs2LABp06d4ssHLmVvbw9PT0+4u7ujefPmuHHjBhYuXMi3j6OjI+bNm4dZs2bB2toa6enpcHJygoKCgkhtCwwMRMuWLdG/f3/89ddfIITg/PnzTDpGUVERpkyZwiT3N2zYEFu2bAEA6OnpwcfHB3PnzoWOjg7c3d3LPcbWrVvx999/Y/LkyWjcuDHGjRuHnJwckdpJURRFUdSvgUfo6QNVQ/To0QO6urrYu3evpJvCufUGoziP2UP2E6fx9DpXb7nP8qRfVeI85gaeHOcx5ypmV72TiNy5DwlLaQ3OYxaJYULNNJUszmPe+lh1+SdRJMoJP3dBWF2+cR/TV+Yd5zEvnZzMeczeA7dyHrO+tBrnMfPA/eToA/fWch5TtrZ4qyLJK+hzFivv+3POYtUUNK2Ckojc3FwEBASgV69ekJaWxsGDB3HlyhVcvnxZ0k2jKIqiqN8aHRetHO0cUxLB4/Fw/vx5LFu2DN+/f0ejRo1w7NgxppYwRVEURVHiQTvHlaOdY0oiFBUVceXKFUk3g6IoiqIoig/tHFMURVEURf1B6LhxFQhFUTXC9+/fibe3N/n+/TuN+YfE/BXaSGPSmPT9XjNjUuJDq1VQVA3x5csXqKur4/Pnz1BT42aWNo1Zs2P+Cm2kMWlM+n6vmTEp8aF1jimKoiiKoijqf2jnmKIoiqIoiqL+h3aOKYqiKIqiKOp/aOeYomoIeXl5eHt7Q15ensb8Q2L+Cm2kMWlM+n6vmTEp8aET8iiKoiiKoijqf+jIMUVRFEVRFEX9D+0cUxRFURRFUdT/0M4xRVEURVEURf0P7RxTFEVRFEVR1P/QzjFFURRFURRF/Y+MpBtAUX+y5ORkhIWF4e3btyguLua7b9GiRRJqFUX9uQoKCjBhwgQsXLgQxsbGkm7OT5WRkQF9fX3weDy+7YQQPH/+HAYGBhJqGb/r169j27ZtSE1NxdGjR6Gnp4e9e/fC2NgYHTt2FDle6fPT1taGgoKCGFpM/WpoKTeKkpAdO3Zg0qRJqF27NnR1dfm+kHg8HmJiYiTYul9TWFgYunbtynnc/Px8pKenw9TUFDIyoo8pnD59Wuh97e3tRY7/q/ry5QuuXr2KRo0awdzcXNLNYairqyM2NpazznFaWhpMTEw4iSVO0tLSeP36NbS1tfm2f/jwAdra2igqKpJQy/7fsWPHMHr0aDg6OmLv3r1ITEyEiYkJNm3ahPPnz+P8+fMixywuLoaCggIePnyIBg0aiKHV1C+HUBQlEQYGBmTFihWcx+3atSv59OmTwPbPnz+Trl27soq5e/dukpOTU82W8ZOSkiJv3rwR2P7+/XsiJSXFKqacnBwxMTEhS5cuJRkZGdVtIsnJySEuLi5EWlqaSEtLk9TUVEIIIe7u7sTPz0/oODweT6gb2+f9o2/fvnESp3PnziQ4OJjk5uZyEm/IkCFk48aNhBBCcnNzSYMGDYisrCyRkZEhR48eZRXTx8en3Pdmbm4u8fHxYRVzzJgxZM2aNaweWx4ej0dsbGzI3r17OfvbrF+/vtzbhg0byPbt28nVq1dJYWGhyO18+/atwPanT58SJSUlTtpdXc2bNyfBwcGEEEJUVFSYz2RMTAzR0dFhHdfCwoLcvHmTkzaW2r17Nzly5IjA9iNHjpCgoCBOj0Vxi44cU5SEqKmpITY2lvMRJSkpKWRmZgqM/rx9+xZ6enooKCgQOaaOjg6+ffuGIUOGwNXVFe3btxdbO1+9egVTU1N8+/ZN5Jjv37/H3r17ERwcjIcPH6Jbt25wdXXFgAEDICcnJ3K8adOmISoqCuvWrUPv3r0RHx8PExMTnDp1CosXL8b9+/dFjikuxcXFWLZsGQICAvDmzRs8efIEJiYmWLhwIYyMjODq6ipyzOnTp+PAgQPIy8vD0KFD4erqinbt2rFuo66uLi5evIhmzZrhwIED8Pb2RlxcHIKDg7F9+3ZWr6c4Rjt9fX3h7++P7t27o2XLllBWVua738PDQ6R4sbGxCAwMxMGDB5Gfn49hw4bB1dUVbdq0EbltpYyNjfHu3Tvk5uZCU1MTAPDp0ycoKSlBRUUFb9++hYmJCcLCwqCvr19prBkzZgAA1q9fj3HjxkFJSYm5r6ioCLdv34a0tDSioqKEbt+gQYOE3vf48eNC76ukpITExEQYGRlBVVUVcXFxMDExQVpaGiwsLPD9+3ehY5V15swZrFq1Clu3bkWTJk1YxfhRw4YNsW3bNoGrWRERERg/fjySkpI4OQ7FPZpzTFESMmTIEFy6dAkTJ07kJF58fDzzc2JiIjIzM5nfi4qKEBISAj09PVaxX758iTNnziAoKAg2NjYwMTGBs7Mzxo4dC11dXZFibdiwAUBJ6sjOnTuhoqLC185r166hcePGrNpZu3ZteHp6wtPTEzExMQgMDMTkyZMxefJkjBw5Eq6urmjWrJnQ8U6ePInDhw+jXbt2fGkvlpaWSE1NZdVGcfH19UVwcDBWrVqFcePGMdubNGmCdevWseocr1u3DqtXr8bp06cRHByMzp07w8zMDC4uLhg9ejR0dHREivf582doaWkBAEJCQjB48GAoKSmhX79+8PLyErl9QEm+6I85sgAQFxfHHEtUu3btgoaGBu7du4d79+7x3cfj8UTuHDdv3hzr16+Hv78/Tp8+jaCgIHTs2BENGzZkXss6deqIFHP58uXYvn07du7cCVNTUwBASkoKJkyYgPHjx6NDhw4YPnw4PD09cfTo0UpjlZ6UEEKQkJDAdyIpJyeHZs2aYdasWSK1T11dXaT9haWrq4uUlBQYGRnxbY+MjKzWQMOYMWOQm5uLZs2aQU5ODoqKinz3f/z4UeSYGRkZ5abmGBoaIiMjg3VbqZ9AsgPXFPXnWr58OalduzYZO3YsWb16tcDlUVGVXpaXkpIq95K9kpIS2bVrV7XbnZmZSVavXk2srKyIrKwssbOzIydPniRFRUVCPd7IyIgYGRkRHo9H9PX1md+NjIxIw4YNSc+ePcmtW7eq3U5CCHn58iXx9vYm8vLyRFlZmUhLS5OOHTuSBw8eCPV4RUVF5rJt2Uu4sbGxRE1NjXW7wsPDSf/+/YmpqSkxNTUldnZ25Nq1a6zjEUKIqakpuXLlikBbHz16RDQ0NKoVu9SbN2/I0qVLiYKCApGVlSUODg4kNDRU6Mc3aNCAHD58mGRnZ5M6deowj42NjSW1atUSqS0aGhpEU1OTSElJMT+X3tTU1IiUlBSZPHmySDF/lu/fv5M1a9YQeXl5wuPxiLy8PBk9ejR59eqV0DFMTEzI/fv3BbbHxMQQY2NjQgghUVFRRFdXV+iYTk5O5PPnz0LvLwnLly8nFhYW5NatW0RVVZVcv36d7Nu3j9SpU4ds2LCBddygoKBKb2zo6+uTU6dOCWw/efIk0dPTY91WSvxo55iiJKRsp/DHW+mXmyiePn1K0tPTCY/HI3fv3iVPnz5lbq9evRI5/7Ayt27dIuPHjyfy8vLEyMiIqKurEyMjIxIWFiZ0DBsbG/Lx40fO2lQqPz+f/Pfff6RPnz5ERkaGtGvXjuzYsYNkZ2eT9PR04ujoSMzNzYWK1alTJ+YLV0VFhaSlpRFCSnKOe/Xqxap9e/fuJTIyMmTo0KHMidDQoUOJrKws2b9/P6uYhBCioKBAnj59yrS1tHP88OFDoqyszDpuqdu3b5OJEycSDQ0NYmBgQBYtWkRcXV2JoqIimTlzplAxNm/eTGRkZIiGhgZp1qwZc0K1YcMGYmNjI1J7goKCSGBgIOHxeGT9+vV8HZkDBw6QGzduiPwcf5SXl0ceP35MCgoKqh2LEELu3r1LJk2aRDQ1NUn9+vXJ/PnzSVpaGrl27Rrp3r07ad26tdCxFBUVyd27dwW237lzhygqKhJCCElPT+fkb8+FgoICcvnyZRIQEEC+fPlCCCk5ef369atIcYqLi4mvry9RVlZmTvwVFBTIggULxNHsapk9ezYxNDRk8r8LCwtJaGgoMTQ0FPozQ0kG7RxTFCWUzMxM8u+//xILCwuioKBAhg8fTi5fvkwIISQ7O5vMnj2bGBgYiByXyw6Iu7s7qVWrFtHS0iLTpk0jCQkJAvu8fv2a8Hg8oeJdv36dqKiokIkTJxIFBQUybdo00qNHD6KsrEyio6NZtbFx48blTvby9/cnjRs3ZhWTEEKsra3J3r17CSH8nWMfHx/SsWNHVjHfvHlDVq9eTSwtLYmcnBwZPHgwuXDhAikuLmb2uX79ukgdsOjoaHL8+HG+TtHZs2dJZGQkqzaGh4eT/Px8Vo+tCFcTMUv5+/uTJk2aMKPtZ86cEbjS8vz5cyItLS10zL59+xJra2sSExPDbIuJiSEtW7Yk/fr1I4QQcvr0adKkSROhY2ZnZ5MFCxaQv/76i5iamhJjY2O+G1tPnz4ljRs3JkpKSnyvp4eHB5kwYQKrmHl5eeThw4fk9u3bInewK5KSkkLmz59Phg8fzkwWPn/+vNBXmspr49ChQwmPxyOysrJEVlaWSEtLE2dnZ5KXl8dJmynxoJ1jiqoBiouL+Toc1bVnzx7Svn17UrduXWY0cc2aNeTkyZOs4vXv35/IysoSS0tLsnbtWvLhwweBfd68eSN0p5OQkmoCXHZACCGkW7du5MCBA+T79+8V7lNQUEDCw8OFjpmSkkLc3NxI69atibm5OXF0dCTx8fGs2kdISUWN5ORkge3JyclEXl6eddyTJ08SdXV1smLFCqKkpET+/fdf4ubmRuTk5MilS5dYxZSVlSWNGzcmq1atKreKASElVVCEHfUt72Sl1IkTJ9g0kRBCSFFREUlKSiLXr18nERERfDc2PDw8SMuWLZmOf+l78+TJk6R58+YixzMzMyPLly+vNG0iLy9PpMv3r1+/Jra2toTH4xE5OTkiJydHpKSkSI8ePUhmZiYhhJCrV6+SixcvCh1z+PDhpG7dumT27Nlk7dq1ZN26dXw3thwcHMioUaNIXl4e34lbWFgYMTMzYx2XkJL334kTJ0hiYmK14oSHhxNFRUVia2tL5OTkmDb6+fmRwYMHVyt2UlISOXLkCDlz5gzz/zFVs9HOMUVJUHBwMGnSpAmRl5cn8vLyxMrKiuzZs6daMbds2UJq165NfH19+XJmAwMDRb50XcrFxaXKy9TFxcUi/cfPdQfkV2FqakoCAgIEtm/durXaHYVr164RW1tbUqdOHaKoqEg6dOggUueovHhcqlevHpOaUtbRo0dZlwq7efMmMTY2LjfXnm1pPAMDA6asV9nOXHJyMlFVVWUVU1wePXpETp06RU6dOkUeP35crVjq6uqsR/Aro6WlxbSt7OuZnp7OpIAI68dygA0bNqx2OUBCCGnXrh3x9/cXaOPt27dpfvAfiFaroCgJWbNmDRYuXAh3d3d06NABQMmM64kTJ+L9+/fw9PRkFXfjxo3YsWMHBgwYgBUrVjDbW7VqJfKMc6BkxbCnT5+idu3ale7H4/FgaGgodFyuKkGIc4GNL1++lLudx+NBXl6eVXm4mTNnwsPDA7GxsUxJvKioKAQFBWH9+vUixyv14sULdOrUCZcvXxa479atW6xKsHXq1Il1e8rj5uYGW1tbREVFMVVODh8+DBcXFwQFBbGKOXHiRLRq1Qrnzp1D3bp1y61cIap3794JlIYDgJycHKHjl60eU5WmTZsKve+PGjduzLq6y480NTVZV/ioTHFxcbkl9V68eAFVVVWRYl27dg3z588HAJw4cQLFxcXIyspCcHAwfH19MXjwYFZtTEhIwIEDBwS2a2tr4/3790LHmTFjBpYuXQplZWWmRF5F1qxZI3I7qZ+Ddo4pSkI2btyIrVu3YsyYMcw2e3t7WFpaYvHixaw7x+np6WjRooXAdnl5eeTk5IgcT1ZWVqQvemFx0QEBgAEDBgi1H4/HE7nmrYaGRqVtqV+/PpycnODt7Q0pKSmhYk6aNAm6urrw9/fHkSNHAADm5uY4fPgwHBwcRGpfWT179kRkZKRA5yYqKgr9+vVDVlaWUHFatGgh9Osv6iqOPj4++PjxI2xtbXHt2jWEhITAzc0Ne/fuZd2pSU5OxtGjR2FmZsbq8eUp7WxPnToVAJjXY+fOnfjrr7+EitG8eXPweDyQCpYSKL2PzfsSKCl7GBQUhNDQ0HKXn7969arIMZcuXYpFixYhODiYr9ZxdfXs2RPr1q3D9u3bAZQ89+zsbHh7e6Nv374ixRJHOUCg5LP++vVrgdJr9+/fF6kE5v3795la8jWpDjolGto5pigJef36dbmLabRv3x6vX79mHdfY2BixsbECo7ghISGsl+gdNWoUdu3axTcSXV1cdEAACHQKuBQUFIT58+fDycmJWbDhzp07CA4OxoIFC/Du3TusXr0a8vLy+Oeff4SOO3DgQAwcOJDTtrZr1w49e/ZEWFgYMxp37do12NnZYfHixULHEfZkg62NGzfC0dER7dq1w8uXL3Hw4MFqnRS0bdsWKSkpnHaOly9fjj59+iAxMRGFhYVYv349EhMTcePGDURERAgVIz09nbP2lGfatGkICgpCv3790KRJE9Yj5j+eDKWkpEBHRwdGRkaQlZXl25ftkvb+/v7o1asXs0jHyJEjkZycjNq1a+PgwYMixdLX18fNmzehpaWFkJAQHDp0CEDJAigKCgqs2gcAw4cPx5w5c/Dff/+Bx+OhuLgYUVFRmDVrFt8ARlXCwsLK/Zn6tdDOMUVJiJmZGY4cOSLQqTp8+DAaNGjAOu6MGTMwZcoUfP/+HYQQ3LlzBwcPHoSfnx927tzJKmZhYSF2796NK1eulLtiGJvLg1x0QMQtODgY/v7+GDp0KLPNzs4OVlZW2LZtG0JDQ2FgYIBly5aJ1DkGgPz8/HJH/AwMDFi1defOnfj7779hZ2eHixcv4saNG7C3t4evry+mTZsmdBxvb29Wx69IeWkvgwYNwvXr1zFixAjweDxmH2HTXspeyZg6dSpmzpyJzMxMWFlZCXTo2KQsdOzYEbGxsVixYgWsrKxw6dIlWFtb4+bNm7CyshIqhigpRmwcOnQIR44cEXnk9UfiPhkCSq6wxMXF4dChQ4iPj0d2djZcXV3h6OgosNhGVaZPnw5HR0eoqKjA0NAQNjY2AEpOBIX925Rn+fLlmDJlCvT19VFUVAQLCwsUFRVh5MiRWLBgAauYLi4uWL9+vUDqSE5ODqZOnYrdu3ezbi8lXnT5aIqSkGPHjmHYsGGwtbVlco6joqIQGhqKI0eOVGtkcf/+/Vi8eDGTu1uvXj34+PiwWiUNgMDyp2XxeDxWl3ABIDU1FStWrEBcXByys7NhbW2NOXPmiPQlt2HDBowfPx4KCgrM6nsVEXVlM0VFRcTHxwucrCQnJ6NZs2bIzc1Feno6LC0tkZubK1TM5ORkuLi44MaNG3zbq3OJvVR+fj769euH3NxcxMfHw8/PD+7u7qzjcUHYdBNRnruUlJRYUxYePHhQ4RLCJ0+eFKpDefr0afTp0weysrJV5sWLmgsPlHymw8PD0bBhQ5Ef+7N9//69WqO6P4qOjsbz58/Ro0cPZoXNc+fOQUNDg/m/lK2MjAw8ePAA2dnZaNGiRbUGKipa2vz9+/fQ1dVFYWFhtdpKiQ/tHFOUBN27dw9r167Fo0ePAJTkns6cObPcnGE2cnNzkZ2dXW5u7+/C2NgY0dHRqFWrVrlLtZbi8XhIS0sTKXbDhg0xaNAggXSSuXPn4sSJE0hKSkJ0dDQcHBzw8uVLoWJ26NABMjIymDt3brkTyERZ3rq8XPCvX79ixIgR6NevHyZNmsRsF3YEVUtLC0+ePEHt2rWhqalZ6eV6NkvqcuHZs2dC78tmBFdPTw+RkZEC76djx45hzJgxQuXuS0lJITMzE9ra2pWeILDtwPv7+yMtLQ2bNm3iZBKiOKmpqWHgwIEYNWoUunfvLvQJ06/qy5cvIIRAU1MTycnJfEuDFxUV4cyZM5g7dy5evXolwVZSlaGdY4qiRPLixQsAJZdKRfXlyxeoqakxP1emdD9JOn36NIYMGYLGjRujdevWAEpGrR49eoRjx46hf//+2Lp1K5KTk4VOLVFWVsa9e/c4qTBQ3ghq2d/ZjKAGBwdj+PDhkJeXR3BwcKX7jh07ln3jazBvb2/s27evwqoaQ4YMkXALS/LWw8LCoKWlBUtLS4F0kuPHj4scs6KTIR6PBwUFBZiZmcHJyQnOzs4ixT1x4gQOHDiAc+fOQV1dHcOGDcOoUaPQqlUrkdvo4uJS6f2ipCpUVU2iLFFSx0o/lxXh8Xjw8fFhqm5QNQ/NOaaon0hcnUNra2uEhoZCU1OzymoDbCbVFBcXw9fXF/7+/sjOzgYAqKqqYubMmZg/f77QI0GamprMZcaKKkFwkV7AFXt7eyQlJSEgIABPnjwBAPTp0wcnT55kXoeyo7PCsLCwEKk0VGXEMemrbIeX686vh4cHzMzMBNJbNm3ahJSUFKxbt07kmBWlLJTt0FV2RaE84qiqwTUNDQ3OJ3UuWrQIy5YtQ58+ffgmoIaEhGDKlClIT0/HpEmTUFhYiHHjxgkdt3QC6tevX3H06FEcPHgQ7dq1g4mJCUaNGoVFixYJHevTp098vxcUFODBgwfIyspCt27dhI4DCFaTiImJQWFhIRo1agQAePLkCaSlpdGyZUuR4oaFhYEQgm7duuHYsWN8FWTk5ORgaGiIevXqiRST+rnoyDFF/URlc9AqGl1g0zn08fGBl5cXlJSU4OPjU+m+bCZczZs3D7t27YKPjw9fTebFixdj3LhxWLZsmVBxIiIimLSCqibddenSReR2AiUj26dPn0ZGRgby8/P57qtuXdEvX77g4MGD2L17N6Kjo4X+G5U9EYqOjsaCBQuwfPnycieQ1YQR8/J8//5d4PUUta16eno4ffq0QGcjJiYG9vb2zFUJUVSUf1x21Lxjx444efIkNDU1RYrt6OiIu3fv4uXLlzhw4EC1qmrk5OQgIiKi3PelqLnw4jJ48GD06NEDEydO5Nu+bds2XLp0CceOHcPGjRuxfft2JCQkVOtYiYmJcHR0RHx8fLVPhIuLizFp0iSYmppi9uzZrGKsWbMG4eHhCA4OZt4nnz59grOzMzp16oSZM2eKHPPZs2cwMDCo8WkvlCDaOaaon+hndA7FoV69eggICBCYOHTq1ClMnjxZ6HxbcQsNDYW9vT1MTEzw+PFjNGnSBE+fPgUhBNbW1qwnDl67dg27du3CsWPHUK9ePQwaNAiDBw9mUi2q8uOJUGmnrSyuRswTExPL7YCxmfSVk5ODOXPm4MiRI/jw4YPA/aK2VUFBAQ8ePBAou5aSkoImTZrg+/fvIrcxNDQU8+fPx7Jly/hGOxcuXIgFCxZAXV0dEyZMQNu2bbFr164K45Q3Al1QUABPT0/07NmT7/UT9bW8f/8++vbti9zcXOTk5EBLSwvv37+HkpIStLW1Rc6FFxcVFRXExsaW+/dp3rw5srOzkZqaiqZNm7Kqmf79+3ecPn0aBw4cQEhICHR0dDBixAhOSkQmJSXBxsaGdRlMPT09XLp0CZaWlnzbHzx4gJ49e7LKDw4JCYGKigo6duwIANi8eTN27NgBCwsLbN68WeSTNernoWkVFPUTle3wGhsbQ19fv9xO0vPnz3920yr18ePHcnNkGzduLNKkLHGvGjZv3jzMmjULPj4+UFVVxbFjx6CtrQ1HR0f07t1bpFiZmZkICgrCrl278OXLFwwdOhR5eXk4efIkLCwsRIr1M+qdpqWlYeDAgUhISBDIOwZE78gCwOzZsxEWFoatW7di9OjR2Lx5M16+fIlt27ax6tCYmZkhJCREoILGhQsXYGJiInI8oKTe7/bt2/lqhnfv3h0KCgoYP348Hj58iHXr1lWZq1pZBYrdu3czuaxsTmA8PT1hZ2eHgIAAqKur49atW5CVlcWoUaNEKrMn7vQpLS0tnDlzRmABojNnzjCpATk5OSKvanfx4kUcOHAAJ0+ehIyMDP7++29cunQJnTt3FrmNFUlNTa1W9YcvX77g3bt3AtvfvXuHr1+/sorp5eWFlStXAihZgW/GjBmYOXMmwsLCMGPGDAQGBrJuLyVetHNMURJibGxcbpmfjx8/wtjYWKQv4KqqCvwYX1TNmjXDpk2bBEqlbdq0SaTqCmVXDauqvWw6c48ePWIWFZCRkcG3b9+goqKCJUuWwMHBQej8YDs7O1y7dg39+vXDunXr0Lt3b0hLSyMgIEDkNgE/5yrAtGnTYGxsjNDQUBgbG+POnTv48OEDZs6cidWrV7OKeebMGezZswc2NjbM5WUzMzMYGhpi//79cHR0FCnejBkz4O7ujnfv3jH5oaGhofD392eVbwyUdIrKS+9QU1NjRmQbNGhQZZ63OBeTiY2NxbZt2yAlJQVpaWnk5eXBxMQEq1atwtixYzFo0CCh4jg4OEBeXh6AeOoTL1y4EJMmTUJYWBgzCn/37l2cP3+eee9fvnxZ5PfzwIED0b9/f+zZswd9+/YVSCUSxY+T6AgheP36Nc6dO1etHPmBAwfC2dkZ/v7+zHO/ffs2vLy8hP77/Cg9PZ05kT527Bjs7OywfPlyxMTEVLs+NSVetHNMURJSUQcxOztb5JqgZTsWHz58gK+vL3r16sWsNHfz5k1cvHgRCxcuZNXWVatWoV+/frhy5QpfzOfPn+P8+fNCxyk7gez+/fuYNWsWvLy8+GL6+/tj1apVrNqprKzMpBPUrVsXqampzGVSUSbBXbhwAR4eHpg0aVK16pxWJCsrC7t27WJK+FlaWsLFxQXq6uqsY968eRNXr15F7dq1ISUlBSkpKXTs2BF+fn7w8PBgtZTtx48fmRFdNTU15sSqY8eOIk9EBEoqDeTl5WHZsmVYunQpAMDIyEhgGXVRtGzZEl5eXtizZw9TMuvdu3eYPXs2k/aSnJwMfX19VvG5ICsry0xa1dbWRkZGBszNzaGuri7SVaLS+QJFRUXo2rUrmjZtCg0NDc7aOW7cOFhYWGDTpk1MtYtGjRohIiKCGZlnk3v75s0bkUebK/Lj+1hKSgp16tSBv79/lVcHKhMQEIBZs2Zh5MiRzPLPMjIycHV1xb///ssqppycHFP//MqVK8x7XEtLq8oJ2ZSEEYqifipPT0/i6elJpKSkyIQJE5jfPT09iYeHB2nbti1p37496/iDBg0iGzduFNi+ceNG4uDgwDruy5cvyT///EMGDRpEBg0aRObPn09evnzJOl7r1q3JuXPnBLafO3eOWFtbs4rp4OBAtm/fTgghZObMmcTMzIz4+voSa2tr0r17d6Hj3Lx5k7i5uRFVVVXSpk0bsnHjRvLu3TsiIyNDHj58yKptpe7evUu0tLSInp4eGThwIBk4cCCpX78+qVWrFrl37x7ruBoaGiQtLY0QQoiJiQm5evUqIYSQlJQUoqioyCqmlZUVCQ8PJ4QQ0r17dzJz5kxCCCHr168nenp6rNtKCCFv374lX79+rVYMQgh5/PgxadSoEZGTkyOmpqbE1NSUyMnJkcaNG5OkpCRCCCEnTpwge/bsESlueHg46d+/PxPTzs6OXLt2jVUbe/ToQfbv308IIcTNzY20adOG7Nu3j/Tq1Yu0adOGVUx5eXnm7/0rSElJIfPnzyfDhw8nb968IYQQcv78efLgwQOxHC8yMpJ8//5d5MdlZ2eTuLg4EhcXR7Kzs6vVBjs7O9KrVy+yZMkSIisrS168eEEIIeTixYukQYMG1YpNiRftHFPUT2ZjY0NsbGwIj8cj7du3Z363sbEhPXv2JOPHjydPnjxhHV9ZWZkkJycLbE9OTibKysqsYj579owUFxdXeB8bCgoKJDExUWB7YmIiUVBQYBUzNTWVxMXFEUJKvuQmTJhArKysyKBBg8jTp09FjpednU127dpFOnToQGRlZYmUlBRZt24d+fLlC6v2EUJIx44diZOTEykoKGC2FRQUkLFjx5JOnTpVK+6JEycIIYSMGDGC9O7dm0RGRpIxY8YQS0tLVjHXrFlD1q9fTwgh5PLly0RBQYHIy8szr0NNUVRURC5cuEDWr19P1q9fT0JCQkhRURHreHv37iUyMjJk6NChTMyhQ4cSWVlZppMrirt37zInK2/evCG9evUiqqqqxNramsTGxrJqY8uWLcmVK1dYPbasz58/8/1c2Y2t8PBwoqioSGxtbYmcnBxJTU0lhBDi5+dHBg8eXO3nUB5VVVXmOJLy7Nkz0q9fP9K0aVOyc+dOZvv06dPJ1KlTJdgyqiq0c0xREuLk5FStL5yKGBgYkNWrVwtsX716NTEwMGAVU0pKihntKev9+/dESkqKVcwWLVqQ0aNHk7y8PGZbXl4eGT16NGnRogWrmOL0+PFj4uXlRXR1dYmCggKxs7NjFUdBQYE8evRIYPvDhw9Zj/ASQkhISAg5duwYIaTkRKhRo0aEx+OR2rVrc9KJIoSQp0+fkmPHjjEnIGz8999/ZMiQIaRt27akRYsWfLeaonHjxmTNmjUC2/39/Unjxo0l0CJBFy5cIM2bNydnzpwhr169Yt2RLfvZ5vF4REpKSuBWup2tdu3aEX9/f0IIISoqKkyn9fbt29W+AlGRsscRRnZ2NlmwYAH566+/iKmpKTE2Nua7UX8WmnNMURIirpnKPj4+cHNzQ3h4ONq2bQugZGJJSEgIduzYwSom4TA/ulRAQADs7OxQv359pjJFfHw8eDwezpw5wyqmODVq1AirVq2Cn58fzpw5I9JKXGWpqakhIyNDoPrH8+fPq5WX2atXL+ZnMzMzPH78GB8/fhRpsmZVDA0NWS3HXGrDhg2YP38+nJyccOrUKTg7OyM1NRV3797FlClTRIozfvx4KCgoCEwS/RGbGsJpaWmws7MT2G5vb49//vlH5HjiUDqhy97evtwygcJOaL169SpTiUJcVVUSEhJw4MABge3a2tqcLYhTXW5uboiIiMDo0aPLXdadraKiIpw8eZJvfoG9vT2kpaU5iU+JB+0cU5QERUdH48iRI+XWpWWz/CsAODk5wdzcHBs2bGBimJubIzIykuksC6t0ZjiPx8PChQuhpKTE3FdUVITbt2+jefPmrNrZpk0bpKWlYf/+/Xj8+DEAYNiwYRg5ciSUlZWFjiPuSh0/kpaWxoABA1hXCxg2bBhcXV2xevVqZpJTVFQUvLy8MGLECNbtcnFxwfr16/k62FpaWsjJycHUqVOF7sxX1dksS9SO55YtW7B9+3aMGDECQUFBmD17NkxMTLBo0SKR/jZr166Fo6MjFBQUsHbt2gr34/F4rDrH+vr6CA0NFaj3e+XKFaEn9lVVaq0sNmXXuOrIlq08Ia6qKhoaGnj9+rXASoX379+Hnp6eWI4pqgsXLuDcuXPMIkdcSElJQd++ffHy5Utm1T0/Pz/o6+vj3LlzMDU15exYFLfoIiAUJSGHDh3CmDFj0KtXL1y6dAk9e/bEkydP8ObNGwwcOFDsNTBXrFiBiRMnVjrbvWvXrgBKFi/566+/ICcnx9wnJycHIyMjzJo1SywVHUr169cPO3fuRN26dcu9Pzg4mPm5qkodP9ZvlYT8/Hx4eXkhICCAqcsqKyuLSZMmYcWKFUypLlGVXX2xrPfv30NXV1foGrA/dmDevXuH3Nxc5n2SlZXFevEKJSUlPHr0CIaGhtDW1sbly5fRrFkzJCcno127duUuNCIJW7duxfTp0+Hi4sJ3AhMUFIT169djwoQJVcYou1Ll9+/fsWXLFlhYWDDvy1u3buHhw4eYPHky/Pz8xPNEWLh+/Tq2bduGtLQ0/Pfff9DT08PevXthbGzMLGYhqlmzZuH27dv477//0LBhQ8TExODNmzcYM2YMxowZw2rVzqqoqqoiLi5O6PrZxsbGOH/+PMzNzTlrQ9++fUEIwf79+5nR+Q8fPmDUqFGQkpLCuXPnODsWxTGJJnVQ1B/MysqKbNq0iRDy//lxxcXFZNy4cWTRokViP74oE1bElR8tDFFyB8VVqUMccnJySHx8PImPjyc5OTms43z+/JlkZWURHo9HUlJS+PJOP378SIKDg0ndunVZxd6/fz/p0KEDefz4MbPt8ePHpFOnTmTfvn0ixzM2NiYxMTGEkJIJZQEBAYSQktn7mpqarNpYKi8vjzx+/JhvomN1HD9+nHTo0IFoaWkRLS0t0qFDB3Ly5ElWsVxdXcmCBQsEti9atIg4OzuzbuOnT5/I6tWriaurK3F1dSVr1qwhWVlZrOMdPXqUKCoqEjc3NyIvL8987jZu3Ej69OnDOm5eXh5xc3MjMjIyhMfjMZNbR40aRQoLC1nHrYyoE/L27t1L/v7772p9Fn+kpKRE4uPjBbbHxsaynhxN/Ry0c0xREqKkpETS09MJIYRoaWkx/4kmJiYSXV1dsR9f1AkrZX3+/JmcOHGi3IllXBOlneKo1MG1rKws8uHDB4HtHz58YHUCUtEkqtKbtLQ08fX1ZdVWExMTpjNbVnR0NDEyMhI5nqurK1m8eDEhhJBNmzYxFQw0NDSIi4sLqzbm5OQQFxcXIi0tTaSlpZn3iru7O/Hz82MVk2tqamrlVqB58uQJUVNTYxVTHCUBmzdvToKDgwkh/J+7mJgYoqOjwypmWc+ePSPnzp0jhw8frlZFHmGI+v9b8+bNiaqqKlFRUSFNmjThZLKopqYmiYqKEtgeGRlZ7ZNBSrxozjFFSYimpiazLKmenh4ePHgAKysrZGVlMYXja4qhQ4eic+fOcHd3x7dv39CqVSs8ffoUhBAcOnQIgwcPlnQTAQC1atXCqVOnBBYqOHXqFGrVqiWhVvEbPnw47OzsMHnyZL7tR44cwenTp0VaVAUoyT0lhKBbt244duwYc/kWKEl9MTQ0RL169Vi19fXr1+WmYxQVFeHNmzcix9u+fTuzEt2UKVNQq1Yt3LhxA/b29kKlKpRn3rx5iIuLQ3h4ON8S4ba2tli8eDHmzp3LKm6p7OxsgdXzyluRrzKKioqIiooSSD+KiopiPaHV09MT9vb22LFjB2RkSr7KCwsL4ebmhunTp+PatWsix0xKSip3SWd1dXVkZWWxamdZBgYGMDAwqHacwsJChIeHIzU1FSNHjoSqqipevXoFNTU1qKioAIDISz6LY8XB/v37Y/z48di1axffqnsTJ06Evb0958ejuEM7xxQlIZ07d8bly5dhZWWFIUOGYNq0abh69SouX76M7t27S7p5fK5du4b58+cDAE6cOAFCCLKyshAcHAxfX98a0zkWR6UOrt2+fRtr1qwR2G5jY8O8xqIonUSVnp4OfX19ZiU2LnTv3h0TJkzAzp07YW1tDQC4d+8eJk2aBFtbW5Hjla7cV2r48OEYPnx4tdp48uRJHD58GO3ateObAGdpaYnU1FRWMdPT0+Hu7o7w8HB8//6d2U5ErARRavr06Zg0aRJiYmL4Okm7d+9mvWpldHQ0X8cYKFnRbfbs2WjVqhWrmLq6ukhJSYGRkRHf9sjISKFzd0v9uMxzZcr7PFTk2bNn6N27NzIyMpCXl4cePXpAVVUVK1euRF5eHusl3sWR97xhwwaMHTsWf/31F7NkdmFhIezt7bF+/XrOj0dxh3aOKUpCNm3axHzxzp8/H7Kysrhx4wYGDx6MBQsWSLh1/D5//syMSIaEhGDw4MFQUlJCv3794OXlJeHW/T8uK3WIS15eXrmjsQUFBfj27RvruIaGhsjKysKdO3fw9u1bgdFONssz7969G2PHjkWrVq34vtx79eqFnTt3smon12189+6dwCREAMjJyWFdjmvUqFEghGD37t3Q0dGpdlmvuXPnwsTEBOvXr8e+ffsAlLwvAwMDMXToUFYxxVEScNy4cZg2bRp2794NHo+HV69e4ebNm5g1a5bInXhhlysX9bWdNm0aWrVqhbi4OL6rQQMHDsS4ceNEivWjrKwsHD16FKmpqfDy8oKWlhZiYmKgo6PDqqqGhoYGTp06heTkZKYij7m5uUAVFKoGkmhSB0VREiNKTl6DBg3I4cOHSXZ2NqlTpw4JDQ0lhJRMLKlVq5Y4m1mt3OiK+Pn5kU+fPnEaU1g2NjbE3d1dYPvkyZNJx44dWcc9ffo0UVVVJTwej6irqxMNDQ3mVt38xidPnpBTp06RU6dOMUsy15Q2durUiWzYsIEQUvJeKV1S2d3dnfTq1YtVTGVlZb5JiD/LgQMHhF6yeOrUqaR+/frk0KFDJCMjg2RkZJCDBw+S+vXrk2nTpol03NLXrLi4mPj6+hJlZWXC4/EIj8cjCgoK5U4mFIfnz59XubKhlpYW87cp+39Denp6tRbRiYuLI3Xq1CFmZmZERkaGiTt//nwyevRo1nGpXxPtHFOUhIhj1bmCggISHBxMMjMzq9y3T58+5NWrV0LF3bx5M5GRkSEaGhqkWbNmzBfYhg0biI2NDau2Cmv58uWcd2QlubRsZGQkUVBQIJ06dSKLFy8mixcvJp06dSIKCgrk2rVrrOM2aNCATJs2jdPZ9sIS9vUURxuvX79OVFRUyMSJE4mCggKZNm0a6dGjB1FWVibR0dGsYtrY2JDLly9z1kZhifK+zMvLIx4eHkROTo6ZfCkvL0+mT59Ovn//LtJxeTweMTIyIs7OzmTPnj0kIyODPHz4kNy+fZt8/fqVzVNhRZjnr6GhQR4+fEgI4e8cX79+nWhra7M+dvfu3YmXl5dA3KioKGJoaMgqZmFhIdm5cycZMWIE6d69O+natSvfjaq5aJ1jipIQKSkpZGZmClwSfvXqFUxNTVlfYi9bS5ZL0dHReP78OXr06MFMejl37hw0NDRYF87fu3cvAgICkJ6ejps3b8LQ0BDr1q2DsbExHBwcuGw+H1FroHItNjYW//77L2JjY6GoqIimTZti3rx51aoXraysjISEBIk8J2FfT3G1MTU1FStWrEBcXByys7NhbW2NOXPmwMrKinW8iRMnYtSoUWjSpAmTUlKqdEVHrrF5X+bm5jK51aampnwL9QgrPDycud2+fRv5+fkwMTFBt27d0K1bN9jY2EBHR0fkuKIS5vkPGzYM6urq2L59O1RVVREfH486derAwcEBBgYGrOvDq6urIyYmBqampnztePbsGRo1asSXey4sd3d3BAUFoV+/fuWuulfZAjaUZNGcY4r6yUpXIOPxeNi5cyfT0QRKqgBcu3ZNII9QFG3atEFsbCznneNWrVoJTPTp168f63hbt27FokWLMH36dCxbtoyZ5KShoYF169aJtXMsac2bN8f+/fs5jdmrVy9ER0dLrMMvDC7b+OXLF+bnOnXqwN/fv9x9RK0sAZTkMaempsLZ2ZnZxuPxWE/IE4eyKyKWPQkQdUVEoGQyqI2NDYCSBUtu3LjBdJaDg4NRUFCAxo0b4+HDh1w/DZH5+/ujV69esLCwwPfv3zFy5EgkJyejdu3aOHjwIOu48vLyfO+pUk+ePEGdOnVYxTx06BCOHDnCLPVN/TroyDFF/WSlK5A9e/YM9evXh7S0NHNf6apzS5YsYT2B7MiRI5g3bx48PT3RsmVLgaWYhR31mjFjBpYuXQplZeUqZ56LMtu8lIWFBZYvX44BAwbwjdQ8ePAANjY2eP/+vcgxhfWzR47L+9KtCJvOHADs2rULS5YsgbOzM6ysrARGO8VZOkrY15PLNkpJSVU6mas6HVkLCwuYm5tj9uzZ5U7I4/rEs5Qo70uuVkSsSH5+PqKionDhwgVs27YN2dnZYj8pEPb5FxYW4tChQ4iPj2euFDg6OkJRUZH1sd3c3PDhwwccOXIEWlpaiI+PZ5aK79y5M9atWydyzHr16iE8PBwNGzZk3S5KMmjnmKIkpGvXrjhx4kSlyzezUV4pLzajXmXbV7qMdHl4PB6uXr0qcjsVFRXx+PFjGBoa8n0pJicno2nTptWq3FCVn905rqojB1SvM1d6jIqIe7RT2NeTyzZGREQwPxNC0LdvX+zcuVOgqkBpqTtRKCsrIy4u7qdXFRDmdfzy5QsIIdDU1ERycjLfqGZRURHOnDmDuXPn4tWrVyIdOz8/H7du3UJYWBiTXqGvr4/OnTujc+fO6NKlCyc1iisjyXSnz58/4++//0Z0dDS+fv2KevXqITMzE+3atcOFCxcEBhmE4e/vj7S0NGzatKnaFU+on4umVVCUBBQUFCAjIwOvX7/mvHOcnp7OSZywsLByf+aKsbFxuekfISEhMDc35/x4kiTs65eQkMD6GD+WRfuZhP3i57KNP3Z6paWl0a5dO046Vt26dZNI51gYGhoa4PF44PF45Y5I8ng8+Pj4iBSzW7duuH37NoyNjdGlSxdMmDABBw4cQN26dblqtlCEfR+9evUKkZGR5ZYD9PDwYHVsdXV1XL58GVFRUXy562zqeZeKjIxEWFgYLly4AEtLS4ErJaXlJqmah3aOKUoCZGVlWU3wEIa4LvlybcaMGZgyZQq+f/8OQgju3LmDgwcPws/Pj3UNXWF16tSpWpdgRVXZ6OXXr19x8OBB7Ny5E/fu3YO7u/tPaxdXqroAefPmTXz48AH9+/dntu3Zswfe3t7IycnBgAEDsHHjRsjLy4u7qUKxs7ODp6cnEhISqp3+UVRUhKioKDRt2rTKE2FDQ0OBY/1IHCsiXr9+HXXr1mUm33Xp0kUiK0oKcyE7KCgIEyZMgJycHGrVqsXXoebxeCJ3jr99+4bQ0FDmvXn27Fnk5eUBAM6fP49Lly5hyZIlrFYy1NDQwMCBA0V+HCV5NK2CoiRk+fLlePLkCXbu3Mm3yhUXuK4CkZOTgxUrViA0NLTc0Zq0tDRW7dy/fz8WL17MzLavV68efHx84OrqyipeTEwMZGVlmQlKp06dQmBgICwsLLB48WLIycmxiisO165dw65du3Ds2DHUq1cPgwYNwuDBg9G6dWuhY2zYsAHjx4+HgoICM9GzImxH1MoqKipCQkICDA0NoampyWyPjIxE69atK+zc9unTBzY2NpgzZw6AkhFya2trZtGWf//9FxMmTMDixYtZt43LS/Jcp6goKCjg0aNHzHwDLjx79gwGBgacXK7PycnB9evXER4ejrCwMMTGxqJhw4bo0qUL01lmOykNAAIDAzFs2LAqK2k8f/4c9erV45uH8SN9fX1MnDgR8+bN42Q1yICAAJw7dw5nzpwBUPI+srS0ZE6eHz9+jNmzZ8PT07Pax6J+HbRzTFESMnDgQISGhkJFRQVWVlYCOW1sL7n9WAXiwYMHMDExQVBQEIKDg1mlSIwYMQIREREYPXp0uSWJpk2bxqqtpXJzc5GdnV3uSmeiaN26NebOnYvBgwcjLS0NlpaWGDhwIO7evYt+/fqxmlTDpczMTAQFBWHXrl348uULhg4dioCAAMTFxcHCwkLkeMbGxoiOjkatWrUq7XjxeDxWJzDTp0+HlZUVXF1dUVRUhC5duuDGjRtQUlLC2bNnmQoHValbty7OnDnDVDuZP38+IiIiEBkZCQD477//4O3tjcTERJHbWKq0rBeXHVCutGrVCitXrqz2svDx8fFo0qQJpKSkEB8fX+m+1Sk39/XrVyYlIDw8HHFxcWjQoAEePHjAKp6Ojg6+ffuGIUOGwNXVFe3bt2fdtlq1auHOnTswNTVlHaOsTp06Yfbs2bCzswMgeJK1b98+bN68GTdv3uTkeNSvgaZVUJSEaGhoYPDgwZzH3bhxI3bs2IEBAwZgxYoVzPZWrVph1qxZrGJeuHAB586dY13PuCpKSkqs6rP+6MmTJ2jevDmAkg5X586dceDAAURFRWH48OES7Rzb2dnh2rVrTCe9d+/ekJaWRkBAAOuYZfPLuco1L+vo0aMYNWoUAODMmTNIT0/H48ePsXfvXsyfPx9RUVFCxfn06RNfndyIiAj06dOH+b1169Z4/vy5SG0bNGgQ3+/fv3/HxIkTq3WSKa70D19fX8yaNQtLly4tt4KMsBVKmjdvztRGb968OTPR9kfVnYCprKwMLS0taGlpQVNTEzIyMnj06BHreC9fvsSZM2cQFBQEGxsbmJiYwNnZGWPHjoWurq5IsVxdXfHff/9h7ty5rNtTVkpKCl8pPAUFBb4R6TZt2mDKlCmsYrdo0aLckX0ejwcFBQWYmZnBycmp0gnPlGTQzjFFSQjbYvVVSU9PR4sWLQS2y8vLIycnh1VMTU1NvtxGtqytrREaGgpNTc0KvzhKxcTEiByfEMKkfFy5coXp5Ojr64u1NJwwLly4AA8PD0yaNKlai31Ul5qaGmJjY4VKPygtCwaU5F8OGTIEDRs2ZGrsCktHRwfp6enQ19dHfn4+YmJi+CaNff36tcpc2x+pq6vz/V7aia+OJUuWwMbGhnnfJCQkwNXVlS/9o169eiKnf5TWubW3t+d7z4taoSQ9PZ1Jb+DyZKi4uBjR0dFMWkVUVBRycnKgp6eHrl27YvPmzdXqwMnIyGDgwIEYOHAg3rx5g3379iE4OBgLFy5E79694erqCjs7O6HSJPz8/NC/f3+EhISUmw8ualnJrKwsJscYKKlxXVZxcTHf/aLo3bs3tm7dCisrK7Rp0wYAcPfuXcTHx8PJyQmJiYmwtbXF8ePHf+u67r8i2jmmKAl79+4dkpKSAACNGjWqVm4fIJ4qEEuXLsWiRYsQHBxcrRFeBwcHZtRtwIABrONUpFWrVvD19YWtrS0iIiKwdetWACUdiZ+xwldlIiMjsWvXLrRs2RLm5uYYPXo0hg8f/tPbIUomnY6ODhITE1G3bl2EhIQwr2dubm6leaE/6tu3L+bOnYuVK1fi5MmTUFJSQqdOnZj74+PjRb5MLo6Ty9jYWCxdupT5/dChQ2jbti127NgBoOQky9vbW+TOMVfVXsp+prmceKuhoYGcnBzo6uqia9euWLt2LWxsbDhLXShLR0cHHTt2xJMnT/DkyRMkJCRg7Nix0NTURGBgYJWpOn5+frh48SIaNWoEAAIT8kRVv359PHjwgIn3o/j4eNSvX1/kuEDJyeXMmTOxcOFCvu2+vr549uwZLl26BG9vbyxdupR2jmuan7dSNUVRZWVnZxNnZ2ciLS1NeDwe4fF4REZGhri4uJCcnBzWcXfs2EH09PTIoUOHiLKyMjl48CDx9fVlfhZW8+bNSYsWLZibqqoqUVFRIU2aNOHb3qJFC5HbWFhYSCIiIsinT59Efmxl4uLiSJMmTYiamhpZvHgxs93d3Z2MGDGC02OxlZ2dTXbt2kU6dOhAZGVliZSUFFm3bh358uXLTzm+iooKSU1NFWpfb29voq6uTho3bkwMDAzI9+/fCSGE7Nq1i7Rr107oY75794506tSJ8Hg8oqqqSo4fP853f7du3cg///wj/JMQE3l5eZKRkcH83qFDB+Lr68v8np6eTlRUVCTRtHI9efKEbNu2jSxdupT4+Pjw3UQREBBAkpKSxNTKEpmZmeTff/8lFhYWREFBgQwfPpxcvnyZEFLymZg9ezYxMDCoMo6GhgYJDAzkrF0eHh7EwsKCfPv2TeC+3NxcYmFhQTw8PFjFVlNTI8nJyQLbk5OTiZqaGiGEkEePHtWo9xRVgk7IoygJmTBhAq5cuYJNmzYxubyRkZHw8PBAjx49mFE6NrioAiFKrVRvb2+R28j1DP7SkllWVlZ8lRSAknxUaWlpkS/di1tSUhJ27dqFvXv3IisrCz169MDp06fFekxRqzocPXoUz58/x5AhQ5gRtODgYGhoaIg82vX582eoqKgIjDp//PgRKioqEq8mYmhoiL1796Jz587Iz8+HhoYGzpw5w0ykS0hIQJcuXfDx40eRY1+/fh3btm1DWloa/vvvP+jp6WHv3r0wNjZGx44dRY63Y8cOTJo0CbVr14aurq7ACCqbtCRxsbOzw8WLF9GwYUO4ublhzJgxAmlab9++ha6ubpW1sHV1dXH9+nXOUpPevHmD5s2bQ05ODu7u7kzt6KSkJGzatAmFhYW4f/8+qytPOjo6+PfffzFmzBi+7Xv27IGXlxfevHmDxMREdOnSRSCdg5IwSffOKepPVatWLRIWFiaw/erVq6R27dqcHCMnJ4e8efOGk1jCOHDgAMnOzhZq35YtW5IrV65wenx5eXmSlpbGacyfobCwkJw4cYLY2dmJ/ViijBz/aSZOnEj++usvcu3aNTJjxgxSq1YtkpeXx9y/b98+0qpVK5HjHj16lCgqKhI3NzciLy/PvP4bN24kffr0YdVWAwMDsmLFClaP/dlcXFzIjRs3Kt2nuLiYPH36tMpYy5cvJ1OnTuWqaYQQQtLS0kivXr2IlJQUcxVPSkqK9OrVq1qflaVLlxJFRUXi4eFB9u7dS/bu3Us8PDyIkpISc0VizZo1xNbWlqunQnGEjhxTlIQoKSnh3r17AnnADx8+RJs2bVhPniv19u1bJpe5cePG1c5lFoYok71CQkIwb968as/gL4urklm/s6r+RlXVSy6Li9rJNcn79+8xaNAgREZGQkVFBcHBwXyLOHTv3h3t2rXDsmXLRIrbokULeHp6YsyYMXwj9/fv30efPn2QmZkpcltF+axJ2p49ezBs2DCBKh/5+fk4dOiQwMhqZQYOHIirV6+iVq1anK869/HjR6SkpAAAzMzMOJmEvH//fmzatIlvXsnUqVMxcuRIACWLkJRWr6BqDto5pigJ6d69O2rVqoU9e/Yw/zF++/YNY8eOxcePH3HlyhVWcb9+/YrJkyfj4MGDzCVKaWlpDBs2DJs3bxaY5c8lUS7Zl52ZXp0Z/GWJo8P9u6nqbyRsmgvb2sm/Aq7TP5SUlJCYmAgjIyO+1z8tLQ0WFhasVst0dXVF69atMXHiRJEf+7NJS0vj9evXAnXMP3z4AG1tbZE+687OzpXeL64qQNSfhVaroCgJWb9+PXr16oX69eujWbNmAIC4uDgoKCjg4sWLrOO6ubnh/v37OHfuHP766y8AJfVbp02bhgkTJuDQoUOctL+6uJrBXxZXJbN+Zfn5+UhPT4epqWm5Ky9euHABenp6FT5eHPWSfzUVnUCyHUnU1dVFSkoKjIyM+LZHRkayHvk1MzPDwoULcevWrXJLmtWkUf3Sz9+PXrx4IfLJOu38Uj8DHTmmKAnKzc3F/v378fjxYwCAubk5HB0dmaVL2VBWVsbFixcFJvlcv34dvXv3rna6RmW4XMKXjYiIiErv79Kly09qyc+Xm5uLqVOnIjg4GEDJgigmJiaYOnUq9PT0OFs0gRKdn58f9u3bh927d6NHjx44f/48nj17Bk9PTyxcuBBTp04VOaY4VkTkWmkt87i4OFhaWvKdrBUVFSE9PR29e/fGkSNHJNhK8SkqKsLatWtx5MgRZGRkID8/n+9+NhM7qZ+DjhxTlAQpKSlh3LhxnMasVatWuaMx6urqAlUcJC0rKwu7du1iVt+ytLSEi4sL69SP37nzW5V58+YhLi4O4eHh6N27N7Pd1tYWixcvZt05fvHiBU6fPl3ul7uoCy78qebOnYvi4mJ0794dubm56Ny5M+Tl5TFr1ixWHWPg1xjhL61lHhsbi169ekFFRYW5T05ODkZGRkKtEiruxYPExcfHBzt37sTMmTOxYMECzJ8/H0+fPsXJkyexaNEiSTePqgQdOaYoCUpKSsLGjRuZzqG5uTnc3d3RuHFj1jG3b9+O//77D3v37mVWN8vMzMTYsWMxaNAgTJgwgZO2l0eUkePo6Gj06tULioqKfKtHffv2DZcuXYK1tbXIx7927Vql93fu3FnkmL8KQ0NDHD58GO3ateP7O6SkpMDa2hpfvnwROWZoaCjs7e1hYmKCx48fo0mTJnj69CkIIbC2tsbVq1fF8Ex+X/n5+UhJSUF2djYsLCz4OovVUfo1zmYRjJ8hODgYw4YNYz3pzMfHB15eXlBSUsLixYsrfZ5sykqKi6mpKTZs2IB+/fpBVVUVsbGxzLZbt27hwIEDkm4iVRGJ1MigKIocPXqUyMjIkHbt2hFPT0/i6elJ/vrrLyIjI0OOHj0qUqwfF+xQUVEhsrKyxNTUlJiamhJZWVmioqLCasEOUVhaWvItolCZjh07EicnJ1JQUMBsKygoIGPHjiWdOnVidfzSMkxlb1JSUsztd6aoqMiUnSpbri02NpZZcEBUrVu3JosWLeKL+fXrV2Jvb0+2bNnCTcP/AM7OzuUu8lK6EBBbwcHBpEmTJkReXp7Iy8sTKysrsmfPnuo0leKQkpISefbsGSGEEF1dXXLv3j1CCCGpqamsP5PUz0HTKihKQmbPno158+ZhyZIlfNu9vb0xe/ZsoS43lhLHUsxljR07Fq6urlWOvD548EDomNHR0dixYwdfHqKMjAxmz56NVq1asWrnp0+f+H4vKCjA/fv3sXDhQpHLb/1qWrVqhXPnzjGX6UtH13bu3MlMzBTVo0ePcPDgQQAlf5tv375BRUUFS5YsgYODAyZNmsRN439zwcHBWLFiBVRVVfm2f/v2DXv27MHu3btFjrlmzRosXLgQ7u7ufIsITZw4Ee/fv4enpycnbWdLS0sLT548Qe3ataGpqVnpaK8oubcmJia4e/cuatWqxbc9KysL1tbWNSLXulT9+vXx+vVrGBgYwNTUlLkidvfuXYGydlTNQjvHFCUhr1+/Lre+56hRo/Dvv/+KFEvclxI/f/4MW1tbGBoawtnZGWPHjq204oEw1NTUkJGRIZBC8vz5c4FOhLDKy1Xu0aMH5OTkMGPGDNy7d49V3F/B8uXL0adPHyQmJqKwsBDr169HYmIibty4UeVExYooKyszecZ169ZFamoqLC0tAZTUBKYq9+XLFxBCQAjB169f+dIKioqKcP78eYHyZsLauHEjtm7dyvd/iL29PSwtLbF48WKJd47Xrl3LfI7Xrl3LWcrH06dPy606k5eXhxcvXnByDK4MHDgQoaGhaNu2LaZOnYpRo0Zh165dyMjIkPjfh6oc7RxTlITY2Njg+vXrMDMz49seGRmJTp06SahV5Tt58iTevXuHvXv3Ijg4GN7e3rC1tYWrqyscHBxYLcs8bNgwuLq6YvXq1Wjfvj0AICoqCl5eXhgxYgSn7dfR0WGK8P+uOnbsiNjYWKxYsQJWVlbMKNXNmzdhZWXFKma7du0QGRkJc3Nz9O3bFzNnzkRCQgKOHz+Odu3acfwMfj8aGhrg8Xjg8XjMssRl8Xg8kZZpL+v169fM56as9u3b4/Xr16xicmns2LHMz05OTtWOV3ZZ9YsXL/KdCBcVFSE0NJSzpei5smLFCubnYcOGwcDAADdv3kSDBg1gZ2cnwZZRVaET8ihKQgICArBo0SIMHTqU6WjcunUL//33H3x8fFCvXj1mX3t7+0pjiesSZkViYmIQGBiInTt3QkVFBaNGjcLkyZPRoEEDoWPk5+fDy8sLAQEBKCwsBADIyspi0qRJWLFiBavLjvHx8Xy/E0Lw+vVrrFixAoWFhYiMjBQ55p8sLS0N2dnZaNq0KXJycjBz5kzcuHEDDRo0wJo1a2BoaCjpJtZoERERIISgW7duOHbsGF+dZDk5ORgaGvJ9zkXRpEkTjBw5Ev/88w/fdl9fXxw+fBgJCQnVajuXbG1tMWrUKAwaNIj1QjyliwbxeDz82G2RlZWFkZER/P390b9//2q3l6Jo55iiJKTsCnGVEWbxiuDgYAwfPhzy8vJMnduKlB3RYeP169fYs2cPAgMD8eLFCwwePBgvX75EREQEVq1aJfLlwtzcXKSmpgIomd2tpKTEum1SUlLlfnm2a9cOu3fvrlYVkJroy5cvTGejqmoUdHVAyXn27Bn09fWF/swL49ixYxg2bBhsbW2ZnOOoqCiEhobiyJEjfMteS9q0adNw5MgRfP78Gf369cOoUaPQt29fVlecjI2NcffuXdSuXVsMLa2+06dPo0+fPpCVleUb7S5PVYMelOTQzjFF/QZmzJiBpUuXQllZGdeuXUP79u3LXR2NrYKCApw+fRqBgYG4dOkSmjZtCjc3N4wcOZLpdJ04cQIuLi4Ck+J+pmfPnvH9LiUlhTp16rAuIVXTlV2Wt/TE4EekmqsDZmVl4ejRo0hNTYWXlxe0tLQQExMDHR2daued/2lyc3PLrRfdtGlTVvHu3buHtWvX8pWCnDlzJlq0aFHttnKtuLgYV65cwYEDB3DixAlIS0vj77//hqOjo1jqk1tZWeH8+fPQ19fnPHZlpKSkkJmZyXwmK/KnrNj5q6KdY4qqQbKysqChoSHy42RlZfHixQvo6OjwdZi4Urt2bRQXF2PEiBEYN24cmjdvLrBPVlYWWrRoUeniBIMGDRL6mMePH2fT1D9KREQEOnToABkZGbGsDhgfHw9bW1uoq6vj6dOnSEpKgomJCRYsWICMjAzs2bOHbdP/KO/evYOzszMuXLhQ7v1/Wifp+/fvOHPmDJYtW4aEhASxPH9Jr9ZJ/drohDyKkpCVK1fCyMgIw4YNAwAMGTIEx44dQ926dXH+/Hk0a9ZM6FhGRkbYsGEDevbsCUIIbt68WeFqeGwWwli7di2GDBlS6QishoZGlat2sV35ThQRERFYvXo1M5pmYWEBLy+vGjfJkQulHd7CwkJERETAxcUF9evX5yz+jBkz4OTkhFWrVvFVEOnbty9GjhzJ2XF+d9OnT0dWVhZu374NGxsbnDhxAm/evIGvry/8/f2rFfvt27d4+/YtiouL+bazHY0Wt8zMTBw6dAj79u1DfHw8swDQ76a4uBhBQUE4fvw4nj59Ch6PBxMTEwwePBijR4+usQu2UP/z80srUxRFCCFGRkYkKiqKEELIpUuXiIaGBrl48SJxdXUlPXr0ECnWiRMniI6ODrPoRXmLYZTe9zvbu3cvkZGRIUOHDiXr168n69evJ0OHDiWysrJk//79km6eWKmoqJD09HROY6qpqZGUlBQmfunCIk+fPiXy8vKcHut3pqurS27fvk0IIURVVZUkJSURQgg5deoU6dChA6uY0dHRxNLSstzPe037nH/+/Jns3r2b2NraEhkZGdKwYUPi4+PDvLfEoez79WcrLi4m/fr1IzwejzRv3pwMHz6cDBs2jDRt2pTweDzi4OAgkXZRwqMjxxQlIZmZmUw+3NmzZzF06FD07NkTRkZGaNu2rUixBgwYgAEDBiA7OxtqampISkqqdlrFr5gCsWzZMoFJgR4eHlizZg2WLl36W492duvWDRERETAyMuIspry8fLkT/Z48eYI6depwdpzfXU5ODvN51NTUxLt379CwYUNYWVkhJiaGVUwXFxc0bNgQu3btgo6OTo0eidTR0YGmpiaGDRsGPz8/1ov8/CqCgoJw7do1hIaGomvXrnz3Xb16FQMGDMCePXvKrXNP1Qy0c0xREqKpqYnnz59DX18fISEh8PX1BVAygYptDp6KigrCwsJgbGxc5YS8FStWYOLEiRXmOP+MFIijR4/iyJEj5U5SYtNpSEtLK7d+qL29vUDJq99Nnz59MHfuXCQkJKBly5ZQVlbmu5/NzHh7e3ssWbIER44cAVAyiSgjIwNz5swRaQXHP12jRo2QlJQEIyMjNGvWDNu2bYORkRECAgJQt25dVjHT0tJw7NgxgTrpNdHp06fRvXt3Tqt11GQHDx7EP//8I9AxBkpOYufOnYv9+/fTznFNJumha4r6U02ZMoUYGhoSW1tbUqtWLfL161dCCCEHDx4kLVq0EPvxVVVVJXbZkRBC1q9fT1RUVIi7uzuRk5MjEyZMILa2tkRdXZ38888/rGKampqSgIAAge1bt24lZmZm1W1yjVZRKk11LrNnZWURW1tboqGhQaSlpYm+vj6RlZUlnTt3JtnZ2Rw/g99PWloaIaQk3ScwMJAQUpIOUbt2RzcZMAAAOGpJREFUbSIlJUUUFBTIoUOHWMV2cHAgR48e5aqpvx1JplXo6OiQ+/fvV3h/TEwM0dHR+XkNokRGR44pSkLWrl0LIyMjPH/+HKtWrYKKigqAkjrCkydPFvvxiYQL1WzZsgXbt2/HiBEjEBQUhNmzZ8PExASLFi1ivVDJzJkz4eHhgdjYWL5V94KCgrB+/Xoum1/j/Dghiwvq6uq4fPkyIiMjER8fj+zsbFhbW8PW1pbzY/2OTE1NYWhoiK5du6Jr16548eIFWrZsiWfPnuHx48cwMDBgXa93586dGDt2LB48eIAmTZoI1AyWdA1da2trhIaGQlNTEy1atKg07UOUq0RpaWlCVaDYtm0bdHR0hI7LpY8fP1Z6bB0dHYmWvKSqRku5UdQfqqpSR+L6ciulpKSER48ewdDQENra2rh8+TKaNWuG5ORktGvXDh8+fBA5JlBSb9nf35+v9quXlxccHBxYxaMotsLDw5nb7du3kZ+fDxMTE3Tr1o3pMLPtwJ05cwajR48uNye8JtTQ9fHxgZeXF5SUlLB48eJK///w9vYWOq6UlBS6dOkCV1dX/P333zWyhrm0tDQyMzMrzMt/8+YN6tWrJ/G/EVUxOnJMURKUnJyMsLCwcksxLVq0SEKtKuHg4MAs4TxgwADO4+vq6uLjx48wNDSEgYEBbt26hWbNmiE9Pb1ao9oDBw6sUauD/UziKGN39+7dCt+ja9asqVZ7f3c2NjawsbEBUFLb98aNG0xnOTg4GAUFBWjcuDEePnwocuypU6di1KhRWLhwocRGSCtTtsO7ePFizuKWLl0/Y8YMuLu7Y9iwYXB1da1RJeEIIXBycmL+//xRXl7eT24RJSo6ckxRErJjxw5MmjQJtWvXhq6uLt/ICo/HYz2LXViSLpLv5uYGfX19eHt7Y/PmzfDy8kKHDh0QHR2NQYMGYdeuXaxj5+fnl9uZMzAwqG6za6x9+/bB2dkZgwYN4ltO+MSJEwgKCmJVqWP58uVYsGABGjVqJFARgcfj4erVq5y1/0+Rn5+PqKgoXLhwAdu2bUN2djarEURVVVXExsbC1NRUDK3klomJCe7evYtatWrxbc/KyoK1tTXS0tJEjllYWIjTp08jKCgIISEhaNiwIVxcXDB69GiJV1JxdnYWar/AwEAxt4Rii3aOKUpCDA0NMXnyZMyZM0cix2fbOc7OzhbodJYuIS2K4uJiFBcXM1U1Dh06hBs3bqBBgwaYMGEC5OTkRI6ZnJwMFxcX3Lhxg287qeYSyr8Cc3NzjB8/nq+MHVAyurtjxw5mNFkUOjo6WLlyJZycnDhq5Z8nPz8ft27dQlhYGJNeoa+vj86dO6Nz587o0qULq5O2sWPHolOnTnBzcxNDq7lVdknlst68eQN9fX2BSjWiyMvLw5YtWzBv3jzk5+dDTk4OQ4cOxcqVK1lXAqEomlZBURLy6dMnDBkyhNOYhYWFOHDgAHr16lXlpdZOnTpBUVFRqLjp6elwd3dHeHg4vn//zmyvTqdTSkqKr7TT8OHDMXz4cJHjlOXk5AQZGRmcPXsWdevWrdG1X7kmjjJ2UlJSzCg0Jbpu3brh9u3bMDY2RpcuXTBhwgQcOHCAk05bw4YNMW/ePERGRsLKykpgQp6Hh0e1j1Fdp0+fZn6+ePEiX3nIoqIihIaGwtjYmFXs6Oho7N69G4cOHYKysjJmzZoFV1dXvHjxAj4+PnBwcMCdO3eq/RyoPxMdOaYoCXF1dUXr1q0xceJETuOWnejGlQ4dOoAQgmnTppW74EDpMsaiCAwMhIqKisAJwn///Yfc3FyMHTtW5JjKysq4d+8eGjduLPJjf3VmZmbw8vLChAkT+LYHBATA398fycnJIsdctWoVXr16hXXr1nHUyj+LrKws6tatiwEDBsDGxgZdunQRSC1gq7JOJY/HY5WqwLXSk18ejycwj0BWVhZGRkbw9/dH//79hY65Zs0aBAYGIikpCX379oWbmxv69u3Ld6L94sULGBkZobCwkJsnQv1x6MgxRUmImZkZFi5ciFu3bnE68tOmTRvExsZy2jmOi4vDvXv30KhRI85i+vn5Ydu2bQLbtbW1MX78eFadYwsLC7x//56L5v1yxFHGbtasWejXrx9MTU1hYWEh8B6tKSsj1lRZWVm4fv06wsPDsXLlSowYMQINGzZEly5dmM4y2/zY9PR0jlvLvdL0K2NjY9y9e5d12bqytm7dChcXFzg5OVU4Aq+trV2tOQsURUeOKUpCxDXyc+TIEcybNw+enp7lrpTWtGlTkWN27doV8+fP57S+rYKCAh4/fiyw3PHTp09hbm6Ob9++CRWnbCmr6OhoLFiwAMuXLy/3hINNbvSvhOsydu7u7ti5cydTcuzHKwZ0QpFovn79isjISCb/OC4uDg0aNMCDBw/Edkw1NTXExsZKbOItRf2KaOeYon4z5S3RWnpZk21+cGpqKiZOnIhRo0aVu+AAmw63gYEBNm3aJLBYwalTpzBlyhS8ePFCqDhSUlJ8nbbS51nWnzAhTxxUVVVx6NAh9OvXT9JN+S0UFxczpfHCwsIQGRmJ79+/i/V9KemqNEDJVTAzMzOBq2GbNm1CSkqKSGk78fHx5W7n8XhQUFCAgYFBhSXUKEpYNK2Con4z4rjc+u7dO6SmpvKVKKpuh3vEiBHw8PCAqqoqOnfuDKCkTu+0adNEmpgXFhYm8rEp4Whpaf0SpcJqquLiYkRHRyM8PBxhYWGIiopCTk4O9PT00LVrV2zevBldu3aVdDPF7tixY3yT80q1b98eK1asEKlz3Lx580on2srKymLYsGHYtm1bjVwghPo10JFjipKgFy9e4PTp08jIyBAoZ1STFliwsLCAubk5Zs+eXe7ldTb5zfn5+Rg9ejT+++8/ppxbcXExxowZg4CAAFal3IQ1efJkLFmyhJMcSEnS1NQUuiIHmyW5AwMDERISgsDAQCgpKYn8+D+dmpoacnJyoKury6yIZ2Nj81NPOGrCyLGCggIePHgAMzMzvu0pKSlo0qQJXwWcqpw6dQpz5syBl5cXs/DHnTt34O/vD29vbxQWFmLu3LkYNmwYVq9ezenzoP4ctHNMURISGhoKe3t7mJiY4PHjx2jSpAmePn0KQgisra2rvcBCYmJiuZ3uH9MYhKGsrIy4uDiBLzcuJCcnIzY2FoqKirCysuJ0ImFFfpc8zODgYKH3ZTPBsUWLFkhNTQUhBEZGRgLpNOJeqOZXt23bNnTt2hUNGzaUWBtqQue4SZMmmDhxItzd3fm2b9y4EVu3bkViYqLQsdq0aYOlS5eiV69efNsvXryIhQsX4s6dOzh58iRmzpyJ1NRUTtpP/XloWgVFSci8efMwa9Ys+Pj4QFVVFceOHYO2tjYcHR3Ru3dv1nHT0tIwcOBAJCQk8JVQKh1hZJMC0a1bN7F1jhs0aIAGDRpUeL84OrK/y5gAmw6vKMSxbPif5MeyepJQE2p9ly71/O7dO3Tr1g1AyeCAv7+/yGUCExISyj2BNjQ0REJCAoCS1IvXr19Xu93Un4t2jilKQh49eoSDBw8CAGRkZPDt2zeoqKhgyZIlcHBwwKRJk1jFnTZtGoyNjZkC+3fu3MGHDx8wc+ZM1pcZ7ezs4OnpiYSEhHKrQLAZjRbW79KR/Zm+f/8ucMWATaUOb29vofY7ePAg7O3tBSqjUJJXEz4/Li4uyMvLw7Jly7B06VIAgJGREbZu3YoxY8aIFKtx48ZYsWIFtm/fzqReFRQUYMWKFUx985cvX1a5CBJFVYZ2jilKQpSVlZkOTN26dZGamgpLS0sAqFat3ps3b+Lq1auoXbs2swpdx44d4efnBw8PD9y/f1/kmKULlSxZskTgPloFombIycnBnDlzcOTIEXz48EHgfnH+jSZMmIC2bdv+8mkqv6L8/Hykp6fD1NSUyd0v68KFC9DT05NAy/hNmjQJkyZNwrt376CoqAgVFRVWcTZv3gx7e3vUr1+fqZKTkJCAoqIinD17FkDJ1bPJkydz1nbqz0M7xxQlIe3atUNkZCTMzc3Rt29fzJw5EwkJCTh+/DjatWvHOm5RURFUVVUBALVr18arV6/QqFEjGBoaIikpiVXM0mL+VM01e/ZshIWFYevWrRg9ejQ2b96Mly9fYtu2bVixYoVYj10TRif/NLm5uZg6dSqTd/7kyROYmJhg6tSp0NPTw9y5cwEAHTt2lGQzBbBd9KRU+/btkZ6ejv379+PJkycAgCFDhmDkyJHM/3ujR4+udjupPxvtHFOUhKxZswbZ2dkAAB8fH2RnZ+Pw4cNo0KBBtSpVNGnSBHFxcTA2Nkbbtm2xatUqyMnJYfv27XRk7zd25swZ7NmzBzY2NnB2dkanTp1gZmYGQ0ND7N+/H46OjpJuIsWhefPmIS4uDuHh4XxzFGxtbbF48WKmc1xTHD16FEeOHCl3krCoEztVVVWZq1kUJQ60c0xRElBUVIQXL14wlwWVlZUREBDASewFCxYgJycHQEkaRP/+/dGpUyfUqlULhw8fZh03JycHERER5X65sV3qWhjimFA0atSo3261vI8fPzInP2pqakzpto4dO7LOX6dqrpMnT+Lw4cNo164d32fE0tKyxlVp2LBhA+bPnw8nJyecOnUKzs7OSE1Nxd27dzFlyhSR46WmpmLdunXMSpCWlpbw8PCgNbkpztDOMUVJgLS0NHr27IlHjx5BQ0OD09hlSxyZmZnh8ePH+Pjxo0g1cX90//599O3bF7m5ucjJyYGWlhbev38PJSUlaGtri7VzLMoleyMjI7i4uMDJyQkGBgYV7rd161YumlajmJiYID09HQYGBmjcuDGOHDmCNm3a4MyZM5y/xyjJe/fuHbS1tQW25+Tk1IgKFWVt2bIF27dvx4gRIxAUFITZs2fDxMQEixYtErn+9sWLF2Fvb4/mzZujQ4cOAICoqChs27YNZ86cQY8ePcTxFKg/jOA6sxRF/RRNmjRBWlraTzmWlpZWtb4wPT09YWdnh0+fPkFRURG3bt3Cs2fP0LJlS7EX2hdlQtH06dNx/PhxmJiYoEePHjh06BDy8vLE2r6awtnZGXFxcQCAuXPnYvPmzVBQUICnpye8vLwk3DqKa61atcK5c+eY30s/3zt37sRff/0lqWaVKyMjA+3btwcAKCoq4uvXrwBKcoNLK/YIa+7cufD09MTt27exZs0arFmzBrdv38b06dMxZ84czttO/ZnoIiAUJSEhISGYN28eli5dipYtWwqUwRLlsv+gQYOE3vf48eNC71tKQ0MDt2/fRqNGjaChoYGbN2/C3Nwct2/fxtixY/H48WORYxYVFSEoKAihoaF4+/atwKS/6iyCEhMTg6CgIBw8eBBFRUUYOXIkXFxcYG1tzTrmr+bZs2e4d+8ezMzMmPQdcWnSpAkuXLgAfX19sR6H+n+RkZHo06cPRo0ahaCgIEyYMAGJiYm4ceMGIiIi0LJlS0k3kWFiYoJjx46hRYsWaNWqFcaNG4cJEybg0qVLGD58uEijxwoKCkhISBCojf7kyRM0bdpUpNX2KKoiNK2Con6yJUuWYObMmejbty+AkhrBZUd1CSEil0dTV1fnvJ1lycrKQkqq5EKTtrY2MjIyYG5uDnV1dTx//pxVzGnTpiEoKAj9+vVDkyZNOL0UbG1tDWtra/j7+2PLli2YM2cOtm7dCisrK3h4eMDZ2bnGXXrmmqGhIWerDebn55d7AlOauvLgwQNOjkMJr2PHjoiNjcWKFStgZWWFS5cuwdraGjdv3oSVlZWkm8enW7duOH36NFq0aAFnZ2d4enri6NGjiI6OFunEHiipdhEbGyvQOY6NjS03zYSi2KAjxxT1k0lLS+P169fMZJKKdOnS5Se1qGo9e/aEk5MTRo4ciXHjxiE+Ph4eHh7Yu3cvPn36hNu3b4scs3bt2tizZw9zksClgoICnDhxAoGBgbh8+TLatWsHV1dXvHjxAps3b0a3bt1w4MABzo8rSR4eHjAzMxPI/960aRNSUlJEXokMKFna28XFBTdu3ODbzuYEjvpzFRcXo7i4mKnDfOjQIdy4cQMNGjTAhAkTmMU8hLFkyRKsXbsWc+fOZVI1oqKisHLlSsyYMQMLFy4Uy3Og/iy0c0xRP5mUlBQyMzN/qVGO6OhofP36FV27dsXbt28xZswY5stt9+7daNasmcgx69Wrh/DwcDRs2JCzdsbExCAwMBAHDx6ElJQUxowZAzc3N2blLKBklLN169b49u0bZ8etCfT09HD69GmBy+kxMTGwt7fHixcvRI7ZoUMHyMjIYO7cuahbt67AaDubvzvF3pcvX5h0qy9fvlS6769YjWXy5MlYsmQJateuXeE+hBCsW7cO/v7+ePXqFYCS/0u8vLzg4eHx218Ron4O2jmmqJ9MSkoKb968qXYx/IoYGxtX+gUh7CTA06dPo0+fPgJLRXPF398faWlp2LRpE2dfaNLS0ujRowdcXV0xYMCActuek5MDd3d3BAYGcnLMmkJBQQEPHjyAmZkZ3/aUlBQ0adKEVS6msrIy7t27x3dyQUlO6VUnbW1tSElJlfu5+ZVH9dXU1BAbGyt0PfbSiX2li39QFFdozjFFSUDDhg2r7BCKWuKo1PTp0/l+LygowP379xESEiJS1YKBAwciMzMTderU4ftSro4f8wuvXr2KCxcuwNLSUqAjK+rEwaKiIuzevRv29vbQ1NSscD9lZeXfrmMMlJTtCwkJgbu7O9/2CxcusF78xcLColpLmVPcunr1KrS0tAAAYWFhEm4N90Qdq6OdYkpcaOeYoiTAx8dHbJPopk2bVu72zZs3Izo6Wug4derUwa1bt2BnZ8eMRlXXj8954MCB1Y5ZSlpaGhMmTEDnzp0r7Rz/rmbMmAF3d3e8e/cO3bp1AwCEhobC39+fVb4xAKxcuRKzZ8/G8uXLYWVlJXAC8yteuv+Vlc5DKCwsREREBFxcXFC/fn0Jt0r8WrRoIfT/P6KutkdR5aFpFRT1k0kq5zgtLQ3NmzevMlex1OLFi7FkyRKhvpRqyiXcVq1aYeXKlejevbukmyIRW7duxbJly5hcTCMjIyxevBhjxoxhFa+0QsmP74Ff+dL970JVVRUJCQkwMjKSdFM4o6qqiri4OIErHT4+PkLH8Pb25rpZ1B+Ido4p6ifjKkVBVKtWrcKWLVvw9OlToR/z+PFjpKSkwN7eHoGBgRWutObg4MBNI6uJy9rRv7J3795BUVERKioqAvdFRUWhVatWkJeXrzJOREREpffXpIoqfxoHBwcMGjQIY8eOlXRTOFNR55iifjbaOaaon0zcI8c/XoIkhCAzMxPv3r3Dli1bMH78eJFj+vj4wMvLC0pKSpXuJ0rHq6JLpTweDwoKCjAzM4OTkxO6du0qdDtLRzpL45SiI53/T9RJT1TNFBAQAB8fHzg6OpZ7Imhvby+hlrEnSuf43r17TDlMS0tLtGjRQtzNo/4gtHNMUb+ZHy9BSklJoU6dOrCxsRF71QFROl7z5s1jFuZo06YNAODu3buIj4+Hk5MTEhMTERoaiuPHjws9Mk1HOqtWVQckPj4eTZo0gZSUFOLj4yuNJe6V96iKlT0R/NGveiI4adIkLF26tNJSbm/fvsXw4cMRHh7OXMnKyspC165dcejQIbFVAaL+LLRzTFEUZ0QZ+Rk3bhwMDAwEivb7+vri2bNn2LFjB7y9vXHu3DmRJhJSlavqb1T2ykZpubDyviZ+1Q4Y9XNUdWJVlignWcOGDUNaWhr27NkDc3NzAEBiYiLGjh0LMzMzHDx4UOS2UtSPaOeYon4zFU244/F4kJeXF2k1KlGJ0jlWV1fHvXv3yq3L27JlS3z+/BmPHz9G69atmXqmwsrNzUVGRgby8/P5ttORzqr/Rs+ePYOBgQF4PB6ePXtWaSyulqemfj+VnVgBYO4T9SRLXV0dV65cQevWrfm237lzBz179kRWVlZ1mk1RAGgpN4r67WhoaFRaYaJ+/fpwcnKCt7d3pZdmxU1BQQE3btwQ6BzfuHEDCgoKAEqWnS39WRjv3r2Ds7MzLly4UO79dKSzamU7vLTzW7NFRERg9erVTO6thYUFvLy80KlTJwm3DEhPTxdL3OLi4nIX95GVlUVxcbFYjkn9eWjnmKJ+M0FBQZg/fz6cnJyYXN47d+4gODgYCxYswLt377B69WrIy8vjn3/+kVg7p06diokTJ+LevXvMKNDdu3exc+dOpl0XL15E8+bNhY45ffp0ZGVl4fbt27CxscGJEyfw5s0b+Pr6wt/fXxxP45fDpl51YmJiuSPxv+Kkr9/Fvn374OzsjEGDBsHDwwNAyYTY7t27IygoCCNHjpRo+8R1YtWtWzdMmzYNBw8eRL169QAAL1++hKen5x9bwpESA0JR1G+lW7du5PDhwwLbDx8+TLp160YIIWTPnv9r7+7jar77P4C/zolSSmpWipTITaNpbrbJ/UJFXW7WNhaq6fpho63alrlpYXFtbmIaQrpZjMhwYTfK1dzfRblLScqoNUWjG63T9/cHzhynnNI5fVOv5+Ph8Tjn+z0+53VUzrvP+Xzfn2iha9euan9uAwMDITMzs8aP//7774U33nhDMDIyEoyMjIQ33nhDiI2NlZ8vKSkRSktLazxe27ZthRMnTsizXLlyRRAEQdi1a5fg4OBQ43EaM319/Rp/jTIzMwU7OztBIpEIUqlUkEgk8ttSqVTDSelZunXrJixfvlzp+LJly4Ru3bqJkEi1ixcvCvv37xd27dql8Kc2cnJyhF69egnNmzcXrK2tBWtra6F58+aCvb29cOPGDQ0lp6aGa46JGhldXV2kpqbCxsZG4XhGRgZeffVVlJSUICsrC6+88gpKSkrU+txi9ylt1aoVUlNTYWVlBUtLS2zevBkODg4ae72NnaurK7S0tLBhwwZ07NgRJ0+eREFBAfz9/bF06dIG8fF9U6Wjo4OLFy9WuWa/R48eKCsrEymZsmvXrmHs2LE4f/68wjrkx59i1Ha5kyAIOHDgANLS0gAA3bt3h6Ojo3pDU5PGZRVEjYyFhQU2btyIJUuWKBzfuHEjLCwsAAAFBQUa2WK5thfOqVvXrl1x5coVWFlZ4dVXX8W6detgZWWFtWvXwszMTNRsmqaJvtHHjh1DYmIi2rRpA6lUCqlUigEDBmDx4sWYNWsWzp49q86XQLVgYWGBhIQEpeL4wIED8p/zhsLX1xcdO3ZEQkJClb9k1ZZEIsHw4cMxfPhwDaQlYnFM1OgsXboU7u7u2L9/v3wt7+nTp5GWlobt27cDeLi29913363xmH/88QcCAgKQkJCA/Px8pSvQazrzY2xsjPT0dLRp0wZGRkbPXP9aWFhY43yP+fr6Ijc3F8DDbWSdnJwQGxsLbW1tREZG1nq8F4mTk5PKvtGOjo616hstk8lgYGAAAGjTpg1u3bqFrl27wtLSEleuXNHYayHV/P39MWvWLJw7dw79+/cH8HDNcWRkJFauXClyOkXq/iUrISFB/n/R0xfhRUREqDM6NVEsjokaGTc3N6SlpWHdunVIT08HADg7O+PHH3+ElZUVgIfN9mvD09MTOTk5mDdvHszMzJ7roi4AWLFihbzYWrFixXOPUx0PDw/57d69eyM7OxtpaWno0KHDMzcWaAxu374Nf3//avtG//LLLwgKCsLChQtrXBz36NEDKSkp6NixI15//XV8/fXX0NbWRnh4OHfYE9n06dPRtm1bLFu2DNu2bQPwcHnB1q1bG8x27o+p85es4OBgLFiwAH369KnT/0VEz8I1x0SkkoGBAQ4dOlSrzhHVqa4P89NatWpV67EXLFiAgIAApW2uS0tL8c0332D+/Pm1HvNFoYm+0T///DOKi4sxbtw4ZGRkwNXVFenp6XjppZfwww8/sDsA1cjAgQPh7++PMWPGYOLEibhz5w7mzp2L8PBwnDlzBhcuXKjxWGZmZvj6668xadIkDSampk68JqdEpDGHDh2Ch4cH+vfvj5s3bwIAYmJicPjw4ecaz8LCotpm/rXVunVrGBkZqfzzPIKDg3H//n2l4yUlJUrbajc2j/tGP60ufaNHjhyJcePGAQBsbGyQlpaG27dvIz8/n4Ux1djcuXPlyx8WLFiArKwsDBw4EPv27cOqVatqNVZ5ebl8GQmRpnBZBVEjs2PHDkyaNAnvv/8+kpOT8eDBAwBAUVERQkJCsG/fvlqPGRoaisDAQPkFbnVx8OBB+W1BEODi4oINGzagXbt2dRr38XhVfcyakpICY2PjOo/fkKmzb7S3t3eNnpPrO+uXqnX6T3qeNfuaMnLkSPntzp07Iy0tDYWFhbV6PY9NnToVmzdvVlo+RKROXFZB1MjY29vjk08+weTJkxVaq509exbOzs7Iy8ur9ZhGRkYoKSlBRUUF9PT0lHaoqssbsTravz1+ky0qKkKrVq0U3nBlMhnu37+PadOmISws7Lmf40UQGxuL1atXy9dxdu3aFTNnzpRvCFFaWirvXvEsUqkUlpaWsLe3f+YnBjt37lRfeFIpKiqqxo+dMmWKBpPUTlFREWQymdIvqIWFhWjWrFmtllD5+voiOjoadnZ2sLOzU/q/aPny5WrJTE0bi2OiRkZPTw+XLl2ClZWVQuF57do12NraPlf/U1VvynV5I1ZHcRwVFQVBEODt7Y3Q0FAYGhrKz2lra8PKygpvvvnmc4/f1Hz44YfYsmULLC0t4eXlBQ8Pj0Y/806a4+zsDFdXV8yYMUPh+Nq1a7F79+5afZr1rFaEEokEiYmJz52T6DEWx0SNjLW1NcLDw+Ho6KhQeEZHR2PJkiW4dOmS2BEVqHPjkKSkJPTv319pNqkpmDp1Kjw8PDBkyBC1jPfgwQPEx8cjIiICR48exahRo/DBBx9gxIgR7BDQwJSVlSlt7f08F7RqirGxMY4cOYLu3bsrHE9LS4ODgwMKCgpESkZUNa45JmpkfHx84Ovri4iICEgkEty6dQvHjh2Dv79/rbo1/PXXX/I3WFUdJur6RqyuYmvw4MGorKxEenp6lT1QBw0apJbnaYj+/PNPODk54eWXX8Z7772H999/v07dRXR0dDBhwgRMmDAB2dnZiIyMxIwZM1BRUYGLFy9CX19ffeGp1oqLi/H5559j27ZtVRaXtd11TpMePHiAiooKpeN///03SktLRUhE9GwsjokamcDAQFRWVuKtt95CSUkJBg0aBB0dHXz66aeYOnVqjccxMjJCbm4uTExM0Lp16yoL2McXwNXmjfhx94PHysrKMG3aNLRs2VLheHx8fI3HfOz48eOYOHEisrOzldbK1jbni2bXrl24c+cO4uLisHnzZixfvhzdunXD+++/j4kTJ9bpQkqpVCrf9rcx/xu+SD777DMcPHgQa9aswaRJkxAWFoabN29i3bp1Srtjiq1fv34IDw/Ht99+q3B87dq16N27d63GKi4uxpIlS6rdBOTatWt1zkvEZRVEjVR5eTmuXr2K+/fvw9bWFuvWrcM333xT4wvykpKS4ODggGbNmiEpKemZjx08eHCNc3l5edXocZs2barxmI/16tULXbp0QXBwcJUbBDy5Frmx+/3337FlyxZEREQgIyOjypm7Z3lyWcXhw4cxevRoeHl5wcnJCVIpu4CKrUOHDoiOjsaQIUPQqlUrJCcno3PnzoiJicGWLVueqyuNphw5cgSOjo7o27evvAVgQkICTp06hV9++QUDBw6s8VgTJkxAUlISJk2aVOXPuK+vr1qzUxMlEFGjUFZWJgQGBgq9e/cW+vfvL+zcuVMQBEGIiIgQzM3NBQsLC2HJkiUazTB9+nThzz//1OhzPIuenp6QkZEh2vM3FOXl5cLOnTuF8ePHCy1atBDMzc1r9fenT58uGBkZCXZ2dkJoaKioX1OqWsuWLYXs7GxBEAShXbt2wokTJwRBEIRr164JLVu2FDNalc6ePStMnDhRsLW1FXr37i14eXkJ6enptR7H0NBQOHz4sAYSEv2DyyqIGon58+dj3bp1cHR0xNGjR+Hu7g4vLy8cP34cy5Ytg7u7O7S0tDSa4fvvv0dAQIBoWzW//vrruHr1qtIucU3FwYMHsXnzZuzYsQOVlZUYN24c/vvf/2LYsGG1Gmft2rXo0KEDrK2tkZSUVO0nB8+z9IXUw9raGllZWejQoQO6deuGbdu2oV+/ftizZw9at24tdjwlvXr1QmxsbJ3HMTIyYucU0jgWx0SNRFxcHKKjo+Hm5oYLFy7Azs4OFRUVSElJqbfuAoLIq7RmzpwJf39/5OXloWfPnkpdK+zs7ERKpnnt2rVDYWEhnJycEB4eDldXV+jo6DzXWJMnT2ZHigbOy8sLKSkpGDx4MAIDA+Hq6orVq1ejvLwcK1asEDuexi7oXbhwIebPn4+oqCilbeKJ1IVrjokaCW1tbWRlZcl3mtPV1cXJkyfRs2fPesugzrZsz6OqtbCPLyRr7BfkrV+/Hu7u7g1y1pA0Lzs7G2fOnIGNjU29/sxXR0tLS35B7+MLOp9W059Le3t7hb9/9epVCIIAKysrpV+Ak5OT1fMCqEnjzDFRIyGTyaCtrS2/36xZsybXbisrK0vsCKLx8fEROwLVg8TERHz00Uc4fvy4woyrpaUlWrdujf79+2Pt2rW1ushNExITE+XLH57cMv55jBkzRg2JiGqOM8dEjYRUKoWzs7P8o/Q9e/Zg2LBhammRVlNizxw3dadPn8a2bduQk5OjtCkE1wc3Dm5ubhg6dCg++eSTKs+vWrUKBw8e5NbeRHXAfjxEjcSUKVNgYmICQ0NDGBoawsPDA+bm5vL7j/80djExMXBwcIC5uTmys7MBAKGhodi1a5fIyTTrhx9+QP/+/XH58mXs3LkTf//9Ny5evIjExMQm8XVvKlJSUuDk5FTt+REjRuDMmTP1mEi1n376CYcPH5bfDwsLQ69evTBx4kTcuXOnVmOdOnUKJ06cUDp+4sQJnD59us5ZiQCwlRsRqc+0adNEbfv13XffCW3atBEWLVok6OrqCpmZmYIgCMKmTZuEIUOGiJarPvTs2VNYvXq1IAiCoK+vL2RmZgqVlZWCj4+PMH/+fJHTkbro6Og8s11hRkaG0KJFi3pMpFqPHj2EvXv3CoIgCKmpqYK2trYwe/Zs4Y033hA8PT1rNVbfvn2FuLg4peM7duwQ+vXrp5a8RJw5JiKVNm3ahLi4OKXjcXFxiIqKkt9fs2aNaG3cAODbb7/F+vXrMWfOHIW2dX369MH58+dFy1UfMjMzMWrUKAAPL84sLi6GRCLBJ598gvDwcJHTkbq0a9cOFy5cqPZ8amoqzMzM6jGRallZWbC1tQUA7NixA66urggJCUFYWBj2799fq7EuXbqE1157Tem4vb09Ll26pJa8RCyOiUilxYsXV1n0mpiYICQkRIREVcvKyoK9vb3ScR0dHRQXF4uQqP4YGRnh3r17ABQLqLt376KkpETMaKRGLi4umDdvHsrKypTOlZaWIigoCKNHjxYhWfW0tbXl34MHDhzAiBEjAADGxsYq27w9TUdHB3/88YfS8dzcXDRrxh4DpB78TiIilXJyctCxY0el45aWlsjJyREhUdU6duyIc+fOwdLSUuH4Tz/9hO7du4uUqn4MGjQIv/76K3r27Al3d3f4+voiMTERv/76q3zLXnrxzZ07F/Hx8ejSpQs++ugjdO3aFQCQlpaGsLAwyGQyzJkzR+SUigYMGAA/Pz84ODjg5MmT2Lp1KwAgPT0d7du3r9VYI0aMwOzZs7Fr1y75Wvq7d+/iiy++wPDhw9WenZomFsdEpJKJiQlSU1NhZWWlcDwlJQUvvfSSOKGq4Ofnhw8//BBlZWUQBAEnT57Eli1bsHjxYmzYsEHseBq1evVq+WzinDlz0Lx5cxw9ehTjx4/H3LlzRU5H6mJqaoqjR49i+vTpmD17tnzjHYlEgpEjRyIsLAympqYip1S0evVqzJgxA9u3b8eaNWvkvdj379//zIsLq7J06VIMGjQIlpaW8k+Jzp07B1NTU8TExKg9OzVNbOVGRCp9/vnn2Lp1KzZt2oRBgwYBAJKSkuDt7Y23334bS5cuFTnhP2JjY/Hll18iMzMTAGBubo7g4GB88MEHIidrGJYsWYJp06Zxs5BG4M6dO/INMWxsbGBkZCR2pHpRXFyM2NhYpKSkQFdXF3Z2dpgwYYLShiBEz4vFMRGpVF5ejkmTJiEuLk6+rq+yshKTJ0/G2rVrFTYfaShKSkpw//59mJiYiB2lQWnVqhXOnTvHXtRUbwYPHowPPvgA7u7u0NXVFTsOkUq8II+IVNLW1sbWrVuRlpaG2NhYxMfHIzMzExEREQ2yMAYAPT09FsZV4HwI1Td7e3sEBASgbdu28PHxwfHjx+s0XkxMDAYMGKDQy3zFihWNvpc51R/OHBPRC83e3h4SiaRGj01OTtZwmoaPuxiSGCoqKrB7925ERUVh//796Ny5M7y9vTFp0qRarZFes2YN5s+fj48//hiLFi3CxYsXYW1tjcjISERFRdV5q2oigMUxEVXDz88PCxcuRMuWLeHn5/fMxy5fvryeUikLDg6W3y4rK8N3330HW1tbvPnmmwCA48eP4+LFi5gxYwYWL14sVswGg8UxiS0/Px/h4eH46quvIJPJ4OLiglmzZmHYsGEq/66trS1CQkIwZswYhe/lCxcuYMiQIbh9+3Y9vAJq7NitgoiqdPbsWfz999/y2w1VUFCQ/PbUqVMxa9YsLFy4UOkxN27cqO9oRPSUkydPYtOmTfjhhx9gYmICT09P3Lx5E6NHj8aMGTNUXtzblHuZU/1hcUxEVXry48kX5aPKuLg4nD59Wum4h4cH+vTpg4iICBFSETVt+fn5iImJwaZNm5CRkQFXV1ds2bIFI0eOlC+J8vT0hJOTk8riuCn3Mqf6wwvyiEglb29v+e5rTyouLoa3t7cIiaqmq6uLI0eOKB0/cuQIWrRoIUKihmfgwIHsGED1qn379tiwYQOmTJmC33//Hdu3b4eTk5PCtQJ2dnbo27dvtWMsWLAAJSUl8l7mW7dulfcy/+qrrzB79mx89tln9fFyqAngmmMiUklLSwu5ublK3R9u376Ntm3boqKiQqRkipYsWYLg4GD4+PigX79+AIATJ04gIiIC8+bNQ2BgoMgJNae6r1FBQQFMTEwgk8lESkZN3aFDhzBw4MA6jfHk9zd7mZOmsTgmomr99ddfEAQBRkZGyMjIwMsvvyw/J5PJsGfPHgQGBuLWrVsiplS0bds2rFy5EpcvXwYAdO/eHb6+vnjnnXdETqZZUqkUeXl5SsXxrVu30KlTJ5SWloqUjKjuqvr+Zi9z0hSuOSaiarVu3RoSiQQSiQRdunRROi+RSBS6RTQE77zzTqMvhJ+0atUqAA+/Fhs2bIC+vr78nEwmw2+//YZu3bqJFY8If/zxBwICApCQkID8/HylXts1/VTj6ZaNenp60NPTU1tOosc4c0xE1UpKSoIgCBg2bBh27NgBY2Nj+TltbW1YWlrC3NxcxITK7t69i+3bt+PatWsICAiAsbExkpOTYWpqinbt2okdT+06duwIAMjOzkb79u2hpaUlP6etrQ0rKyssWLAAr7/+ulgRqYlzdnZGTk4OPvroI5iZmSkVuf/6179UjiGVSmFoaKiyp3lhYWGdshIBLI6JqAays7PRoUOHGm+2IZbU1FQ4OjrC0NAQ169fx5UrV2BtbY25c+ciJycH0dHRYkfUmKFDhyI+Ph5GRkZiRyFSYGBggEOHDqFXr17PPYZUKkVoaCgMDQ2f+bgpU6Y893MQPcZlFUSk0uXLl3Hjxg0MGDAAABAWFob169fD1tYWYWFhDaYg8/Pzg6enJ77++msYGBjIj7u4uGDixIkiJtO8p9vtyWQynD9/HpaWlg3m60NNk4WFhVq2LX/vvfe4vpjqBVu5EZFKn376Kf766y8AwPnz5+Hn5wcXFxdkZWWp3D2vPp06dQr/93//p3S8Xbt2yMvLEyFR/fn444+xceNGAA8L40GDBuG1116DhYUF/ve//4kbjpq00NBQBAYG4vr16889RkP/1IoaF84cE5FKWVlZsLW1BQDs2LEDrq6uCAkJQXJyMlxcXERO9w8dHR15Ef+k9PR0hU4bjVFcXBw8PDwAAHv27MH169eRlpaGmJgYzJkzp8r+z0SaYmRkpFDQFhcXo1OnTtDT00Pz5s0VHluTdcJcAUr1icUxEamkra2NkpISAMCBAwcwefJkAICxsXGVxahY3NzcsGDBAmzbtg3Aw9mmnJwcfP755xg/frzI6TSroKAAbdu2BQDs27cP7u7u6NKlC7y9vbFy5UqR01FTExoaqtbxKisr1Toe0bOwOCYilQYMGAA/Pz84ODjg5MmT2Lp1K4CHM7Lt27cXOd0/li1bhrfffhsmJiYoLS3F4MGDkZubizfffBNfffWV2PE0ytTUFJcuXYKZmRl++uknrFmzBsDDXrBPdrAgqg9TpkyBTCbD0qVLsXv3bpSXl+Ott95CUFAQd2ikBo/FMRGptHr1asyYMQPbt2/HmjVr5C3R9u/fDycnJ5HT/cPQ0BC//vorDh8+jNTUVNy/fx+9e/fGW2+9JXY0jfPy8sI777wjb5Xl6OgI4OEOgexzTGIICQnBl19+CUdHR+jq6mLlypXIz89HRESE2NGInomt3IjohXfs2DEUFBRg9OjR8mNRUVEICgpCSUkJxowZg2+//RY6OjoiptS87du348aNG3B3d5fP6EdFRcHIyAhubm4ip6OmxsbGBgEBAfKLZA8cOIBRo0ahtLQUUin7AVDDxe9OIqoRmUyGHTt2YNGiRVi0aBF27txZ452tNG3BggW4ePGi/P758+fh4+OD4cOHIzAwEHv27MHixYtFTKg5Li4uKCoqAgC8/fbbePDggcIueaNHj0ZgYKBY8agJy8nJUbhg19HRERKJpEFtN09UFc4cE5FKV69ehYuLC27evImuXbsCAK5cuQILCwvs3bsXnTp1EjWfmZkZ9uzZgz59+gAA5syZg6SkJBw+fBjAw04OQUFBuHTpkpgxNUJLSwu5ubny/q+tWrXCuXPnYG1tDeDh1r3m5uYN5hcZajq0tLSQl5en0CnGwMAAqamp8p0diRoirjkmIpVmzZqFTp064fjx4/ItpAsKCuDh4YFZs2Zh7969oua7c+cOTE1N5feTkpLg7Owsv9+3b1/cuHFDjGga9/T8Buc7qKEQBAGenp4Ky5nKysowbdo0tGzZUn4sPj5ejHhE1WJxTEQqJSUlKRTGAPDSSy9hyZIlcHBwEDHZQ6ampsjKyoKFhQXKy8uRnJyM4OBg+fl79+4p9VYlIs2qaivnx724iRoyFsdEpJKOjg7u3bundPz+/fvQ1tYWIZEiFxcXBAYG4j//+Q9+/PFH6OnpYeDAgfLzqampoi/90BSJRKK0exh3E6OGYNOmTWJHIHouLI6JSKXRo0fj3//+NzZu3Ih+/foBeNgibNq0aQ2iC8LChQsxbtw4DB48GPr6+oiKilIo2iMiIjBixAgRE2rO0x9dP/2x9YMHD8SMR0T0wuEFeUSk0t27dzFlyhTs2bNHvjyhoqICbm5uiIyMhKGhocgJHyoqKoK+vr7SpheFhYXQ19dvELPc6ubl5VWjx3EWj4ioZlgcE1GNZWRkIC0tDQDQvXt3dO7cWeRERERE6sXimIiIiIjoEa45JiKVZDIZIiMjkZCQgPz8fFRWViqcT0xMFCkZERGRerE4JiKVfH19ERkZiVGjRqFHjx7shkBERI0Wl1UQkUpt2rRBdHS0wlawREREjZFU7ABE1PBpa2vz4jsiImoSWBwTkUr+/v5YuXIltyYmIqJGj8sqiEilsWPH4uDBgzA2NsYrr7yitBVzfHy8SMmIiIjUixfkEZFKrVu3xtixY8WOQUREpHGcOSYiIiIieoRrjomIiIiIHuGyCiJSyd7evsrexhKJBC1atEDnzp3h6emJoUOHipCOiIhIfThzTEQqOTk54dq1a2jZsiWGDh2KoUOHQl9fH5mZmejbty9yc3Ph6OiIXbt2iR2ViIioTrjmmIhU8vHxQYcOHTBv3jyF44sWLUJ2djbWr1+PoKAg7N27F6dPnxYpJRERUd2xOCYilQwNDXHmzBmljUCuXr2K3r17o6ioCGlpaejbty/u3bsnUkoiIqK647IKIlKpRYsWOHr0qNLxo0ePokWLFgCAyspK+W0iIqIXFS/IIyKVZs6ciWnTpuHMmTPo27cvAODUqVPYsGEDvvjiCwDAzz//jF69eomYkoiIqO64rIKIaiQ2NharV6/GlStXAABdu3bFzJkzMXHiRABAaWmpvHsFERHRi4rFMRERERHRI1xzTERERET0CNccE5FKMpkMK1aswLZt25CTk4Py8nKF84WFhSIlIyIiUi/OHBORSsHBwVi+fDneffddFBUVwc/PD+PGjYNUKsWXX34pdjwiIiK14ZpjIlKpU6dOWLVqFUaNGgUDAwOcO3dOfuz48ePYvHmz2BGJiIjUgjPHRKRSXl4eevbsCQDQ19dHUVERAGD06NHYu3evmNGIiIjUisUxEanUvn175ObmAng4i/zLL78AeNjrWEdHR8xoREREasXimIhUGjt2LBISEgA83BBk3rx5sLGxweTJk+Ht7S1yOiIiIvXhmmMiqrVjx47h2LFjsLGxgaurq9hxiIiI1IbFMRERERHRI+xzTERV2r17N5ydndG8eXPs3r37mY91c3Orp1RERESaxZljIqqSVCpFXl4eTExMIJVWf3mCRCKBTCarx2RERESaw+KYiIiIiOgRLqsgomeqrKxEZGQk4uPjcf36dUgkElhbW2P8+PGYNGkSJBKJ2BGJiIjUhjPHRFQtQRDg6uqKffv24dVXX0W3bt0gCAIuX76M8+fPw83NDT/++KPYMYmIiNSGM8dEVK3IyEj89ttvSEhIwNChQxXOJSYmYsyYMYiOjsbkyZNFSkhERKRenDkmomqNGDECw4YNQ2BgYJXnQ0JCkJSUhJ9//rmekxEREWkGd8gjomqlpqbCycmp2vPOzs5ISUmpx0RERESaxeKYiKpVWFgIU1PTas+bmprizp079ZiIiIhIs1gcE1G1ZDIZmjWr/tIELS0tVFRU1GMiIiIizeIFeURULUEQ4OnpCR0dnSrPP3jwoJ4TERERaRaLYyKq1pQpU1Q+hp0qiIioMWG3CiIiIiKiR7jmmIiIiIjoERbHRERERESPsDgmIiIiInqExTERERER0SMsjomIiIiIHmFxTERERET0CItjIiIiIqJH/h+KBpH60iuvpAAAAABJRU5ErkJggg==",
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "axes = sns.heatmap(preprocessed_data.corr())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 62,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 596
        },
        "id": "BvHo2-n4CCrm",
        "outputId": "9bfc7b54-889e-4b04-b501-38b42a3f10ae"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "p_values = [stats.pointbiserialr(preprocessed_data['Diagnostic'], preprocessed_data[feature]) for feature in numeric_features]\n",
        "aux = zip(numeric_features, p_values)\n",
        "aux = list(filter(lambda x: x[1][1] < 0.05, aux))\n",
        "\n",
        "plt.figure()\n",
        "plt.bar(list(map(lambda x: x[0], aux)), list(map(lambda x: x[1][0], aux)))\n",
        "plt.xticks(rotation=90)\n",
        "plt.title('Correlation between features and Diagnostic that have significant p-values (p < 0.05)')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 63,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 636
        },
        "id": "rFmu0PY9CCrm",
        "outputId": "5ce7bb6f-9f8b-433b-b66d-20d657f7252b"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "chi_values = [stats.chi2_contingency(pd.crosstab(data['Diagnostic'], data[feature])) for feature in string_features + bool_feature]\n",
        "aux = zip(string_features + bool_feature, chi_values)\n",
        "aux = list(filter(lambda x: x[1][1] < 0.05, aux))\n",
        "\n",
        "plt.figure()\n",
        "plt.bar(list(map(lambda x: x[0], aux)), list(map(lambda x: x[1][0], aux)))\n",
        "plt.xticks(rotation=90)\n",
        "plt.title('Chi2 test results for categorical features that have significant p-values (p < 0.05)')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sLDQNfZeCCrn"
      },
      "source": [
        "## 3.2 Utilizarea algoritmilor clasici de Învățare Automată cu intreg setul de features"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 64,
      "metadata": {
        "id": "rt14XAURCCrn"
      },
      "outputs": [],
      "source": [
        "from sklearn.preprocessing import MinMaxScaler\n",
        "\n",
        "#Normalizing the data ni order to be able to use it in the models as some columns have means of 3 orders of magnitude higher than others\n",
        "scaler = MinMaxScaler()\n",
        "normalized_data = pd.DataFrame(scaler.fit_transform(preprocessed_data), columns=preprocessed_data.columns)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 65,
      "metadata": {
        "id": "wDLnCartCCro"
      },
      "outputs": [],
      "source": [
        "from sklearn.model_selection import train_test_split, GridSearchCV\n",
        "from sklearn.metrics import accuracy_score, confusion_matrix, classification_report\n",
        "\n",
        "from sklearn.ensemble import RandomForestClassifier, ExtraTreesClassifier\n",
        "from sklearn.svm import SVC\n",
        "import xgboost as xgb"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 66,
      "metadata": {
        "id": "9e5u9pZQCCro"
      },
      "outputs": [],
      "source": [
        "X = normalized_data.drop(columns=['Diagnostic'])\n",
        "y = preprocessed_data['Diagnostic']\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bp3OnIfpCCro"
      },
      "source": [
        "### Random Forest Classifers"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 67,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bwVKEPO9CCro",
        "outputId": "08d1728c-cee4-4a62-dd56-9d82a3b891f5"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "RandomForestClassifier Best Parameters: {'max_depth': 10, 'max_samples': 1.0, 'n_estimators': 500}\n",
            "Best score: 0.9107186838086795\n"
          ]
        }
      ],
      "source": [
        "random_forest_model = RandomForestClassifier(random_state=42)\n",
        "params = {\n",
        "    'n_estimators': [10, 50, 100, 500],\n",
        "    'max_depth': [3, 5, 10, 15, 18],\n",
        "    'max_samples': [0.1, 0.25, 0.5, 0.75, 1.0],\n",
        "}\n",
        "\n",
        "search = GridSearchCV(estimator=random_forest_model, param_grid=params, cv=5)\n",
        "search.fit(X_train, y_train)\n",
        "\n",
        "print(\"RandomForestClassifier Best Parameters:\", search.best_params_)\n",
        "print(\"Best score:\", search.best_score_)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BvfqeXsxCCrp"
      },
      "source": [
        "### Extra Tree Classifiers"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 68,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5dTQTotdCCrp",
        "outputId": "ad36a8e2-8232-4b39-cf5e-250f64313862"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "ExtraTreesClassifier Best Parameters: {'max_depth': 18, 'max_samples': 1.0, 'n_estimators': 500}\n",
            "Best score: 0.8987980887641003\n"
          ]
        }
      ],
      "source": [
        "extra_trees_model = ExtraTreesClassifier(bootstrap=True, random_state=42)\n",
        "params = {\n",
        "    'n_estimators': [10, 50, 100, 500],\n",
        "    'max_depth': [3, 5, 10, 15, 18],\n",
        "    'max_samples': [0.1, 0.25, 0.5, 0.75, 1.0],\n",
        "}\n",
        "\n",
        "search = GridSearchCV(estimator=extra_trees_model, param_grid=params, cv=5)\n",
        "search.fit(X_train, y_train)\n",
        "\n",
        "print(\"ExtraTreesClassifier Best Parameters:\", search.best_params_)\n",
        "print(\"Best score:\", search.best_score_)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BLrQgg3sCCrp"
      },
      "source": [
        "### SVM"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 69,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xxLhqWbACCrp",
        "outputId": "5968e12e-0c28-4de9-85ce-90199e58cfb1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "SVC Best Parameters: {'C': 1000, 'kernel': 'linear'}\n",
            "Best score: 0.8283828382838283\n",
            "SVC Best Parameters For Poly SVC: {'C': 10, 'degree': 2}\n",
            "Best score for Poly SVC: 0.8264124919954682\n"
          ]
        }
      ],
      "source": [
        "svc = SVC(random_state=42)\n",
        "params = {\n",
        "    'C': [0.1, 1, 10, 100, 1000, 10000],\n",
        "    'kernel': ['linear', 'rbf', 'sigmoid'],\n",
        "}\n",
        "\n",
        "search = GridSearchCV(estimator=svc, param_grid=params, cv=5)\n",
        "search.fit(X_train, y_train)\n",
        "\n",
        "print(\"SVC Best Parameters:\", search.best_params_)\n",
        "print(\"Best score:\", search.best_score_)\n",
        "\n",
        "\n",
        "poly_svc = SVC(kernel='poly', random_state=42)\n",
        "params = {\n",
        "    'C': [0.1, 1, 10, 100, 1000, 10000],\n",
        "    'degree': [2, 3, 4, 5]\n",
        "}\n",
        "\n",
        "search = GridSearchCV(estimator=poly_svc, param_grid=params, cv=5)\n",
        "search.fit(X_train, y_train)\n",
        "\n",
        "print(\"SVC Best Parameters For Poly SVC:\", search.best_params_)\n",
        "print(\"Best score for Poly SVC:\", search.best_score_)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### XGB"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 70,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "XGB Best Parameters: {'learning_rate': 0.1, 'max_depth': 3, 'n_estimators': 500}\n",
            "Best score: 0.9196246490320675\n"
          ]
        }
      ],
      "source": [
        "xgbb = xgb.XGBClassifier(use_label_encoder=False, eval_metric='mlogloss', random_state=42)\n",
        "params = {\n",
        "    'n_estimators': [10, 50, 100, 500],\n",
        "    'max_depth': [3, 5, 10, 15, 18],\n",
        "    'learning_rate': [0.1, 0.01, 0.001],\n",
        "}\n",
        "\n",
        "search = GridSearchCV(estimator=xgbb, param_grid=params, cv=5)\n",
        "search.fit(X_train, y_train)\n",
        "\n",
        "print(\"XGB Best Parameters:\", search.best_params_)\n",
        "print(\"Best score:\", search.best_score_)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7xI_AlFKCCrq"
      },
      "source": [
        "## 3.3 Utilizarea algoritmilor clasici de Învățare Automată doar cu feature-urile cele mai importante conform statisticilor din p-test si chi-squared-test"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 71,
      "metadata": {
        "id": "fMxP9WveCCrq"
      },
      "outputs": [],
      "source": [
        "feature_selection = normalized_data[['Snacks', 'Gender', 'Diagnostic_in_family_history', 'Weight', 'Age', 'Physical_activity_level']]\n",
        "X = feature_selection\n",
        "y = preprocessed_data['Diagnostic']\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NYLQ_ZnXCCrq"
      },
      "source": [
        "### Random Forest Classifers"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 72,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2hJSUfjBCCrq",
        "outputId": "46d86f73-88d0-4835-9d77-9f560c3cb524"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "RandomForestClassifier Best Parameters: {'max_depth': 15, 'max_samples': 0.75, 'n_estimators': 500}\n",
            "Best score: 0.8442687552337323\n"
          ]
        }
      ],
      "source": [
        "random_forest_model = RandomForestClassifier(random_state=42)\n",
        "params = {\n",
        "    'n_estimators': [10, 50, 100, 500],\n",
        "    'max_depth': [3, 5, 10, 15, 18],\n",
        "    'max_samples': [0.1, 0.25, 0.5, 0.75, 1.0],\n",
        "}\n",
        "\n",
        "search = GridSearchCV(estimator=random_forest_model, param_grid=params, cv=5)\n",
        "search.fit(X_train, y_train)\n",
        "\n",
        "print(\"RandomForestClassifier Best Parameters:\", search.best_params_)\n",
        "print(\"Best score:\", search.best_score_)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PJBPVO-0CCrr"
      },
      "source": [
        "### Extra Tree Classifiers"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 73,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "l9ZztglQCCrr",
        "outputId": "6db77a8b-65e2-450b-815a-af7e7179ccb5"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "ExtraTreesClassifier Best Parameters: {'max_depth': 15, 'max_samples': 0.75, 'n_estimators': 100}\n",
            "Best score: 0.8333185557361705\n"
          ]
        }
      ],
      "source": [
        "extra_trees_model = ExtraTreesClassifier(bootstrap=True, random_state=42)\n",
        "params = {\n",
        "    'n_estimators': [10, 50, 100, 500],\n",
        "    'max_depth': [3, 5, 10, 15, 18],\n",
        "    'max_samples': [0.1, 0.25, 0.5, 0.75, 1.0],\n",
        "}\n",
        "\n",
        "search = GridSearchCV(estimator=extra_trees_model, param_grid=params, cv=5)\n",
        "search.fit(X_train, y_train)\n",
        "\n",
        "print(\"ExtraTreesClassifier Best Parameters:\", search.best_params_)\n",
        "print(\"Best score:\", search.best_score_)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TZhmwhsfCCrr"
      },
      "source": [
        "### SVM"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 74,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HI3w3lcSCCrr",
        "outputId": "0a18e6d1-f29f-4850-915a-b20aa9dbef92"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "SVC Best Parameters: {'C': 10000, 'kernel': 'rbf'}\n",
            "Best score: 0.7638934042657998\n",
            "SVC Best Parameters For Poly SVC: {'C': 1000, 'degree': 4}\n",
            "Best score for Poly SVC: 0.7728092212206296\n"
          ]
        }
      ],
      "source": [
        "svc = SVC(random_state=42)\n",
        "params = {\n",
        "    'C': [0.1, 1, 10, 100, 1000, 10000],\n",
        "    'kernel': ['linear', 'rbf', 'sigmoid'],\n",
        "}\n",
        "\n",
        "search = GridSearchCV(estimator=svc, param_grid=params, cv=5)\n",
        "search.fit(X_train, y_train)\n",
        "\n",
        "print(\"SVC Best Parameters:\", search.best_params_)\n",
        "print(\"Best score:\", search.best_score_)\n",
        "\n",
        "\n",
        "poly_svc = SVC(kernel='poly', random_state=42)\n",
        "params = {\n",
        "    'C': [0.1, 1, 10, 100, 1000, 10000],\n",
        "    'degree': [2, 3, 4, 5]\n",
        "}\n",
        "\n",
        "search = GridSearchCV(estimator=poly_svc, param_grid=params, cv=5)\n",
        "search.fit(X_train, y_train)\n",
        "\n",
        "print(\"SVC Best Parameters For Poly SVC:\", search.best_params_)\n",
        "print(\"Best score for Poly SVC:\", search.best_score_)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### XGB"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 75,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "XGB Best Parameters: {'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 500}\n",
            "Best score: 0.8482094478104527\n"
          ]
        }
      ],
      "source": [
        "xgbb = xgb.XGBClassifier(use_label_encoder=False, eval_metric='mlogloss', random_state=42)\n",
        "params = {\n",
        "    'n_estimators': [10, 50, 100, 500],\n",
        "    'max_depth': [3, 5, 10, 15, 18],\n",
        "    'learning_rate': [0.1, 0.01, 0.001],\n",
        "}\n",
        "\n",
        "search = GridSearchCV(estimator=xgbb, param_grid=params, cv=5)\n",
        "search.fit(X_train, y_train)\n",
        "\n",
        "print(\"XGB Best Parameters:\", search.best_params_)\n",
        "print(\"Best score:\", search.best_score_)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ez8AP9l5CCrs"
      },
      "source": [
        "## 3.4 Utilizarea algoritmilor clasici de Învățare Automată doar cu feature-urile cele mai importante conform statisticilor din p-test si chi-squared-test la care adaugam cateva feature-uri mai putin importante"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 76,
      "metadata": {
        "id": "c-76wvFlCCrs"
      },
      "outputs": [],
      "source": [
        "feature_selection = normalized_data[['Snacks', 'Gender', 'Diagnostic_in_family_history', 'Weight', 'Age', 'Physical_activity_level', 'Water_daily', 'Transportation', 'Alcohol']]\n",
        "X = feature_selection\n",
        "y = preprocessed_data['Diagnostic']\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MXvwS02MCCrs"
      },
      "source": [
        "### Random Forest Classifers"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 77,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-pkvHUmpCCrs",
        "outputId": "610c3838-31d2-4072-be88-3dc681aad963"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "RandomForestClassifier Best Parameters: {'max_depth': 18, 'max_samples': 1.0, 'n_estimators': 500}\n",
            "Best score: 0.877976454361854\n"
          ]
        }
      ],
      "source": [
        "random_forest_model = RandomForestClassifier(random_state=42)\n",
        "params = {\n",
        "    'n_estimators': [10, 50, 100, 500],\n",
        "    'max_depth': [3, 5, 10, 15, 18],\n",
        "    'max_samples': [0.1, 0.25, 0.5, 0.75, 1.0],\n",
        "}\n",
        "\n",
        "search = GridSearchCV(estimator=random_forest_model, param_grid=params, cv=5)\n",
        "search.fit(X_train, y_train)\n",
        "\n",
        "print(\"RandomForestClassifier Best Parameters:\", search.best_params_)\n",
        "print(\"Best score:\", search.best_score_)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jeq1l-P2CCrt"
      },
      "source": [
        "### Extra Tree Classifiers"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 78,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-cVC8iYGCCrt",
        "outputId": "f3974997-b3f3-4e00-ced5-7d6d6e3d10ba"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "ExtraTreesClassifier Best Parameters: {'max_depth': 18, 'max_samples': 1.0, 'n_estimators': 100}\n",
            "Best score: 0.8640904388946357\n"
          ]
        }
      ],
      "source": [
        "extra_trees_model = ExtraTreesClassifier(bootstrap=True, random_state=42)\n",
        "params = {\n",
        "    'n_estimators': [10, 50, 100, 500],\n",
        "    'max_depth': [3, 5, 10, 15, 18],\n",
        "    'max_samples': [0.1, 0.25, 0.5, 0.75, 1.0],\n",
        "}\n",
        "\n",
        "search = GridSearchCV(estimator=extra_trees_model, param_grid=params, cv=5)\n",
        "search.fit(X_train, y_train)\n",
        "\n",
        "print(\"ExtraTreesClassifier Best Parameters:\", search.best_params_)\n",
        "print(\"Best score:\", search.best_score_)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OOGWB4KfCCrt"
      },
      "source": [
        "### SVM"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 79,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "i5iY9Uq1CCrt",
        "outputId": "f58dfc56-997d-4795-87f1-37aed07eedf5"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "SVC Best Parameters: {'C': 1000, 'kernel': 'rbf'}\n",
            "Best score: 0.7926949411359046\n",
            "SVC Best Parameters For Poly SVC: {'C': 10, 'degree': 2}\n",
            "Best score for Poly SVC: 0.7778139007930644\n"
          ]
        }
      ],
      "source": [
        "svc = SVC(random_state=42)\n",
        "params = {\n",
        "    'C': [0.1, 1, 10, 100, 1000, 10000],\n",
        "    'kernel': ['linear', 'poly', 'rbf', 'sigmoid'],\n",
        "}\n",
        "\n",
        "search = GridSearchCV(estimator=svc, param_grid=params, cv=5)\n",
        "search.fit(X_train, y_train)\n",
        "\n",
        "print(\"SVC Best Parameters:\", search.best_params_)\n",
        "print(\"Best score:\", search.best_score_)\n",
        "\n",
        "\n",
        "poly_svc = SVC(kernel='poly', random_state=42)\n",
        "params = {\n",
        "    'C': [0.1, 1, 10, 100, 1000, 10000],\n",
        "    'degree': [2, 3, 4, 5]\n",
        "}\n",
        "\n",
        "search = GridSearchCV(estimator=poly_svc, param_grid=params, cv=5)\n",
        "search.fit(X_train, y_train)\n",
        "\n",
        "print(\"SVC Best Parameters For Poly SVC:\", search.best_params_)\n",
        "print(\"Best score for Poly SVC:\", search.best_score_)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### XGB"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 80,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "XGB Best Parameters: {'learning_rate': 0.1, 'max_depth': 15, 'n_estimators': 500}\n",
            "Best score: 0.8729865523865818\n"
          ]
        }
      ],
      "source": [
        "xgbb = xgb.XGBClassifier(use_label_encoder=False, eval_metric='mlogloss', random_state=42)\n",
        "params = {\n",
        "    'n_estimators': [10, 50, 100, 500],\n",
        "    'max_depth': [3, 5, 10, 15, 18],\n",
        "    'learning_rate': [0.1, 0.01, 0.001],\n",
        "}\n",
        "\n",
        "search = GridSearchCV(estimator=xgbb, param_grid=params, cv=5)\n",
        "search.fit(X_train, y_train)\n",
        "\n",
        "print(\"XGB Best Parameters:\", search.best_params_)\n",
        "print(\"Best score:\", search.best_score_)"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
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    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
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    "language_info": {
      "codemirror_mode": {
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      "file_extension": ".py",
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      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.12.3"
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