Adaboost2.ipynb

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      "authorship_tag": "ABX9TyO+bUAu/eEXhyBBil7lbAHN",
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      "name": "python3",
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    "language_info": {
      "name": "python"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Swastik200/30DaysOfDSA/blob/main/Adaboost2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "lTdfD3RzmRjw"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import os\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fhsKhcBpmb_f",
        "outputId": "6d554af7-24e6-4754-b401-bb0d2ac70997"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!cp \"/content/drive/MyDrive/CMAPSS.zip\" \"/content\"\n",
        "!unzip CMAPSS.zip"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e2DCECq3mcBm",
        "outputId": "bb0c33ec-bc20-498b-ad49-46ddf65a6066"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  CMAPSS.zip\n",
            "  inflating: CMAPSS/readme.txt       \n",
            "  inflating: CMAPSS/RUL_FD001.txt    \n",
            "  inflating: CMAPSS/RUL_FD002.txt    \n",
            "  inflating: CMAPSS/RUL_FD003.txt    \n",
            "  inflating: CMAPSS/RUL_FD004.txt    \n",
            "  inflating: CMAPSS/test_FD001.txt   \n",
            "  inflating: CMAPSS/test_FD002.txt   \n",
            "  inflating: CMAPSS/test_FD003.txt   \n",
            "  inflating: CMAPSS/test_FD004.txt   \n",
            "  inflating: CMAPSS/train_FD001.txt  \n",
            "  inflating: CMAPSS/train_FD002.txt  \n",
            "  inflating: CMAPSS/train_FD003.txt  \n",
            "  inflating: CMAPSS/train_FD004.txt  \n",
            "  inflating: CMAPSS/x.txt            \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.ensemble import AdaBoostRegressor\n",
        "from sklearn.metrics import mean_squared_error, r2_score, mean_absolute_error\n",
        "from math import sqrt"
      ],
      "metadata": {
        "id": "LIN5DYhBmr2y"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "index_names = ['unit_number', 'time_cycles']\n",
        "setting_names = ['setting_1', 'setting_2', 'setting_3']\n",
        "sensor_names = ['sensor_{}'.format(i) for i in range(1,22)]\n",
        "col_names = index_names + setting_names + sensor_names"
      ],
      "metadata": {
        "id": "pFJMgTKamcFZ"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "path='/content/CMAPSS/'\n",
        "train_df = pd.read_csv(path+'train_FD002.txt', delimiter=' ', header=None)\n",
        "test_df = pd.read_csv(path+'test_FD002.txt', delimiter=' ', header=None)\n",
        "columns = ['unit_number', 'time_in_cycles', 'operational_setting_1', 'operational_setting_2', 'operational_setting_3'] + [f'sensor_{i}' for i in range(1, 24)]\n",
        "train_df.columns = columns\n",
        "test_df.columns=columns"
      ],
      "metadata": {
        "id": "wIVrjbfSmcHT"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "max_cycles = train_df.groupby('unit_number')['time_in_cycles'].max().reset_index()\n",
        "max_cycles.columns = ['unit_number', 'max_cycles']"
      ],
      "metadata": {
        "id": "WH0xoVGumcKH"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "max_cycles = test_df.groupby('unit_number')['time_in_cycles'].max().reset_index()\n",
        "max_cycles.columns = ['unit_number', 'max_cycles']"
      ],
      "metadata": {
        "id": "IUe3q_zOnA6W"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_df = train_df.merge(max_cycles, on='unit_number', how='left')\n",
        "train_df['RUL'] = train_df['max_cycles'] - train_df['time_in_cycles']\n",
        "train_df.drop('max_cycles', axis=1, inplace=True)"
      ],
      "metadata": {
        "id": "J1hAv9OcnA8L"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "test_df = test_df.merge(max_cycles, on='unit_number', how='left')\n",
        "test_df['RUL'] = test_df['max_cycles'] - test_df['time_in_cycles']\n",
        "test_df.drop('max_cycles', axis=1, inplace=True)"
      ],
      "metadata": {
        "id": "2lNnIxD5nA_7"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "features = ['operational_setting_1', 'operational_setting_2', 'operational_setting_3'] + [f'sensor_{i}' for i in range(1, 22)]\n",
        "target = 'RUL'"
      ],
      "metadata": {
        "id": "G2p7XvMunKDY"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "adaboost = AdaBoostRegressor(n_estimators=50, random_state=42)\n",
        "adaboost.fit(test_df[features], test_df[target])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "id": "67p8d9tXnKFJ",
        "outputId": "a292d1b8-8253-4562-cbb0-e7d98f07503e"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "AdaBoostRegressor(random_state=42)"
            ],
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              "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>AdaBoostRegressor(random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">AdaBoostRegressor</label><div class=\"sk-toggleable__content\"><pre>AdaBoostRegressor(random_state=42)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train_pred = adaboost.predict(train_df[features])\n",
        "test_pred = adaboost.predict(test_df[features])"
      ],
      "metadata": {
        "id": "XHG64Z5xnKIK"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "from sklearn.metrics import mean_squared_error\n",
        "\n",
        "# Remove NaN values from train_df[target] and train_pred\n",
        "train_df_clean = train_df.dropna(subset=[target])\n",
        "train_pred_clean = train_pred[~np.isnan(train_df[target])]\n",
        "\n",
        "# Calculate RMSE\n",
        "train_rmse = np.sqrt(mean_squared_error(train_df_clean[target], train_pred_clean))\n",
        "print(f\"Train RMSE: {train_rmse}\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Mvmb72CsnUVb",
        "outputId": "d0e28b80-d516-4d7f-90b3-df456c34b402"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Train RMSE: 114.93271332338652\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "test_rmse = sqrt(mean_squared_error(test_df[target], test_pred))\n",
        "print(f\"Test RMSE: {test_rmse}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2OKcEfjtnW2w",
        "outputId": "f5c35e2a-fb9c-4d57-a4b9-efe72ebbcf8c"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Test RMSE: 60.90519080416483\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import mean_absolute_error, r2_score\n",
        "\n",
        "# Remove NaN values from train_df[target] and train_pred\n",
        "train_df_clean = train_df.dropna(subset=[target])\n",
        "train_pred_clean = train_pred[~np.isnan(train_df[target])]\n",
        "\n",
        "# Calculate MAE and R2 score\n",
        "train_mae = mean_absolute_error(train_df_clean[target], train_pred_clean)\n",
        "train_r2 = r2_score(train_df_clean[target], train_pred_clean)\n",
        "\n",
        "print(f\"Train R2: {train_r2}, MAE: {train_mae}\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "90ufZ5z2nKKw",
        "outputId": "ab01767c-02b0-48ee-ff9d-55cd67d51879"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Train R2: -0.5329437392132068, MAE: 94.28494907293842\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "test_mae = mean_absolute_error(test_df[target], test_pred)\n",
        "test_r2 = r2_score(test_df[target], test_pred)\n",
        "print(f\"Test R2: {test_r2}, MAE: {test_mae}\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pwpbz4YVnKNf",
        "outputId": "7190f7b6-6139-401c-fb71-ceada164ed77"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Test R2: -0.06953824787486607, MAE: 51.25675991498158\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10, 6))\n",
        "plt.scatter(train_df[target], train_pred, color='blue', alpha=0.5)\n",
        "plt.plot([0, train_df[target].max()], [0, train_df[target].max()], color='red', linestyle='--')\n",
        "plt.title('Actual RUL vs Predicted RUL')\n",
        "plt.xlabel('Actual RUL')\n",
        "plt.ylabel('Predicted RUL')\n",
        "plt.grid(True)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "vTMMZSS1nBBv",
        "outputId": "5e5194a3-d6fa-47f1-deb5-7edcf6669012"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10, 6))\n",
        "plt.scatter(test_df[target], test_pred, color='blue', alpha=0.5)\n",
        "plt.plot([0, test_df[target].max()], [0, test_df[target].max()], color='red', linestyle='--')\n",
        "plt.title('Actual RUL vs Predicted RUL')\n",
        "plt.xlabel('Actual RUL')\n",
        "plt.ylabel('Predicted RUL')\n",
        "plt.grid(True)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "A81XNHe8oxPu",
        "outputId": "dc60472c-eda2-4189-e0d5-379c9cf4db16"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10, 6))\n",
        "feat_importances = pd.Series(adaboost.feature_importances_, index=features)\n",
        "feat_importances.nlargest(10).plot(kind='barh', color='skyblue')\n",
        "plt.title('Feature Importance')\n",
        "plt.xlabel('Importance Score')\n",
        "plt.ylabel('Features')\n",
        "plt.grid(axis='x')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "fMaU_yvlo0qo",
        "outputId": "6699f52b-4495-47d1-ae37-25ff59d2d439"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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AAAAmR/CrQ6dPn9a0adPUvXt3tWjRQp06ddL06dN15swZp3aHDh3S8OHD5enpqbZt2yohIUEVFRUuqhoAAACA2fED7jVQXl4uNze3q24/evSojh49qiVLlqhHjx46ePCgpkyZoqNHj2rdunWSpEuXLmn48OFq166dPv74Yx07dkyPPfaYmjdvrhdeeOFmDQUAAABAI+LyM37r1q1TaGioWrRoIV9fXw0ePFjnz5+XJK1atUp2u10eHh4KDg5Wenq6Y78DBw7IYrEoMzNTAwcOlKenp8LCwpSTk+Noc/DgQY0YMUKtW7eW1WpVSEiIsrKyHNs//PBD9e3bV+7u7vLz81NiYqLTmbeIiAjFxcUpPj5ebdq00dChQ685ljvvvFNvvfWWRowYoTvuuEMPPPCAnn/+eb377ruOft9//30VFBToj3/8o370ox8pKipKzz33nFasWKHy8vI6OaYAAAAA8H0uDX7Hjh3T2LFj9ctf/lJ79uzRli1bFB0dLcMwtHbtWiUlJen555/Xnj179MILL2jevHlas2aNUx9z5szRzJkztXPnTnXr1k1jx451hKzY2FiVlZVp69atys/P129+8xt5eXlJko4cOaJhw4bpxz/+sT799FO99NJLevXVV7VgwQKn/tesWSM3NzdlZ2fr5ZdfrvEYz5w5I5vNpmbNvju5mpOTo9DQUN1+++2ONkOHDlVpaak+++yzKvsoKytTaWmp0wIAAAAA1eXSSz2PHTumiooKRUdHKyAgQJIUGhoqSUpOTtbSpUsVHR0tSQoMDFRBQYFWrlypCRMmOPqYOXOmhg8fLklKSUlRSEiICgsLFRwcrEOHDmnUqFGOPrt06eLYLz09Xf7+/kpLS5PFYlFwcLCOHj2qWbNmKSkpSU2afJeJg4KCtHjx4lqN7+uvv9Zzzz2nJ554wrHu+PHjTqFPkuP98ePHq+xn4cKFSklJqVUNAAAAAODSM35hYWEaNGiQQkNDNXr0aGVkZKikpETnz59XUVGRJk2aJC8vL8eyYMECFRUVOfXRs2dPx2s/Pz9J0okTJyRJ06dP14IFCxQeHq7k5GTt2rXL0XbPnj3q37+/LBaLY114eLjOnTunw4cPO9b17t27VmMrLS3V8OHD1aNHD82fP79WfVw2e/ZsnTlzxrF8+eWXN9QfAAAAgMbFpcGvadOm2rhxo9avX68ePXpo+fLl6t69u3bv3i1JysjI0M6dOx3L7t27tW3bNqc+mjdv7nh9OcRVVlZKkiZPnqzi4mKNHz9e+fn56tOnj5YvX16jGq1Wa43HdfbsWUVGRsrb21t/+9vfnGps166dvvrqK6f2l9+3a9euyv7c3d1ls9mcFgAAAACoLpc/3MVisSg8PFwpKSnKy8tz3E/Xvn17FRcXq2vXrk5LYGBgjfr39/fXlClTlJmZqaeffloZGRmSJLvdrpycHBmG4WibnZ0tb29vdezYsdbjKS0t1ZAhQ+Tm5qZ33nlHHh4eTtv79++v/Px8x1lJSdq4caNsNpt69OhR688FAAAAgKtx6T1+ubm52rRpk4YMGaK2bdsqNzdXJ0+elN1uV0pKiqZPn66WLVsqMjJSZWVl2rFjh0pKSjRjxoxq9R8fH6+oqCh169ZNJSUl2rx5s+x2uyTpySefVGpqqqZNm6a4uDjt27dPycnJmjFjhuP+vpq6HPouXLigP/7xj04PYrntttvUtGlTDRkyRD169ND48eO1ePFiHT9+XHPnzlVsbKzc3d1r9bkAAAAAcC0uDX42m01bt25VamqqSktLFRAQoKVLlyoqKkqS5OnpqRdffFEJCQmyWq0KDQ1VfHx8tfu/dOmSYmNjdfjwYdlsNkVGRmrZsmWSpA4dOigrK0sJCQkKCwuTj4+PJk2apLlz59Z6PP/5z3+Um5srSeratavTtv3796tz585q2rSp3nvvPU2dOlX9+/eX1WrVhAkT9Oyzz9b6cwEAAADgWlwa/Ox2uzZs2HDV7ePGjdO4ceOq3Na5c2enyzQlqVWrVk7rrnc/34ABA7R9+/arbt+yZcs19/+hiIiIK2qqSkBAgNPvCQIAAABAfXL5PX4AAAAAgPpF8KuBtWvXOv28xPeXkJAQV5cHAAAAAFVy6aWet5qRI0eqX79+VW77/k82AAAAAEBDQvCrAW9vb3l7e7u6DAAAAACoEYLfLSz2Th/5+vq6ugwAAAAADRz3+AEAAACAyRH8AAAAAMDkCH4AAAAAYHIEPwAAAAAwOYIfAAAAAJgcwQ8AAAAATI7gBwAAAAAmR/ADAAAAAJMj+AEAAACAyRH8AAAAAMDkCH4AAAAAYHIEPwAAAAAwOYIfAAAAAJgcwQ8AAAAATI7gBwAAAAAmR/ADAAAAAJMj+AEAAACAyRH8AAAAAMDkCH4AAAAAYHIEPwAAAAAwOYIfAAAAAJgcwQ8AAAAATK6ZqwtA7a3YfVpuNsPVZdx0ib3auLoEAAAA4JbCGT8AAAAAMDmCHwAAAACYHMEPAAAAAEyO4AcAAAAAJkfwAwAAAACTI/gBAAAAgMkR/AAAAADA5Ah+N9nx48c1fvx4tWvXTlarVXfddZfeeustV5cFAAAAwMQIfnWovLz8um0ee+wx7du3T++8847y8/MVHR2tMWPGKC8v7yZUCAAAAKAxavDBb926dQoNDVWLFi3k6+urwYMH6/z585KkVatWyW63y8PDQ8HBwUpPT3fsd+DAAVksFmVmZmrgwIHy9PRUWFiYcnJyHG0OHjyoESNGqHXr1rJarQoJCVFWVpZj+4cffqi+ffvK3d1dfn5+SkxMVEVFhWN7RESE4uLiFB8frzZt2mjo0KHXHc/HH3+sadOmqW/fvurSpYvmzp2rVq1a6ZNPPqmLwwUAAAAAV2jm6gKu5dixYxo7dqwWL16shx9+WGfPntVHH30kwzC0du1aJSUlKS0tTb169VJeXp5iYmJktVo1YcIERx9z5szRkiVLFBQUpDlz5mjs2LEqLCxUs2bNFBsbq/Lycm3dulVWq1UFBQXy8vKSJB05ckTDhg3TxIkT9frrr2vv3r2KiYmRh4eH5s+f7+h/zZo1mjp1qrKzs6s1pnvuuUd/+ctfNHz4cLVq1Upvvvmmvv32W0VERFx1n7KyMpWVlTnel5aW1uxAAgAAAGjUGnzwq6ioUHR0tAICAiRJoaGhkqTk5GQtXbpU0dHRkqTAwEAVFBRo5cqVTsFv5syZGj58uCQpJSVFISEhKiwsVHBwsA4dOqRRo0Y5+uzSpYtjv/T0dPn7+ystLU0Wi0XBwcE6evSoZs2apaSkJDVp8t3J0qCgIC1evLjaY3rzzTf185//XL6+vmrWrJk8PT31t7/9TV27dr3qPgsXLlRKSkq1PwMAAAAAvq9BX+oZFhamQYMGKTQ0VKNHj1ZGRoZKSkp0/vx5FRUVadKkSfLy8nIsCxYsUFFRkVMfPXv2dLz28/OTJJ04cUKSNH36dC1YsEDh4eFKTk7Wrl27HG337Nmj/v37y2KxONaFh4fr3LlzOnz4sGNd7969azSmefPm6ZtvvtE///lP7dixQzNmzNCYMWOUn59/1X1mz56tM2fOOJYvv/yyRp8JAAAAoHFr0MGvadOm2rhxo9avX68ePXpo+fLl6t69u3bv3i1JysjI0M6dOx3L7t27tW3bNqc+mjdv7nh9OcRVVlZKkiZPnqzi4mKNHz9e+fn56tOnj5YvX16jGq1Wa7XbFhUVKS0tTb///e81aNAghYWFKTk5WX369NGKFSuuup+7u7tsNpvTAgAAAADV1aCDn/RdWAsPD1dKSory8vLk5uam7OxstW/fXsXFxeratavTEhgYWKP+/f39NWXKFGVmZurpp59WRkaGJMlutysnJ0eGYTjaZmdny9vbWx07dqzVWC5cuCBJjstEL2vatKkjjAIAAABAXWvQ9/jl5uZq06ZNGjJkiNq2bavc3FydPHlSdrtdKSkpmj59ulq2bKnIyEiVlZVpx44dKikp0YwZM6rVf3x8vKKiotStWzeVlJRo8+bNstvtkqQnn3xSqampmjZtmuLi4rRv3z4lJydrxowZVwS36goODlbXrl31q1/9SkuWLJGvr6/efvttbdy4Ue+9916t+gQAAACA62nQwc9ms2nr1q1KTU1VaWmpAgICtHTpUkVFRUmSPD099eKLLyohIUFWq1WhoaGKj4+vdv+XLl1SbGysDh8+LJvNpsjISC1btkyS1KFDB2VlZSkhIUFhYWHy8fHRpEmTNHfu3FqPp3nz5srKylJiYqJGjBihc+fOqWvXrlqzZo2GDRtW634BAAAA4FoadPCz2+3asGHDVbePGzdO48aNq3Jb586dnS7TlKRWrVo5rbve/XwDBgzQ9u3br7p9y5Yt19y/KkFBQXrrrbdqvB8AAAAA1FaDv8cPAAAAAHBjCH51aO3atU4/L/H9JSQkxNXlAQAAAGikGvSlnreakSNHql+/flVu+/7PSgAAAADAzUTwq0Pe3t7y9vZ2dRkAAAAA4IRLPQEAAADA5DjjdwuLvdNHvr6+ri4DAAAAQAPHGT8AAAAAMDmCHwAAAACYHMEPAAAAAEyO4AcAAAAAJkfwAwAAAACTI/gBAAAAgMkR/AAAAADA5Ah+AAAAAGByBD8AAAAAMDmCHwAAAACYHMEPAAAAAEyO4AcAAAAAJkfwAwAAAACTI/gBAAAAgMkR/AAAAADA5Ah+AAAAAGByBD8AAAAAMDmCHwAAAACYHMEPAAAAAEyO4AcAAAAAJkfwAwAAAACTI/gBAAAAgMk1c3UBqL0Vu0/LzWa4uoxbWmKvNq4uAQAAAKh3nPEDAAAAAJMj+AEAAACAyRH8AAAAAMDkCH4AAAAAYHIEPwAAAAAwOYIfAAAAAJgcwe8mOnDggCwWS5XLX//6V1eXBwAAAMCkCH51qLy8/Jrb/f39dezYMaclJSVFXl5eioqKuklVAgAAAGhsGnzwW7dunUJDQ9WiRQv5+vpq8ODBOn/+vCRp1apVstvt8vDwUHBwsNLT0x37XT67lpmZqYEDB8rT01NhYWHKyclxtDl48KBGjBih1q1by2q1KiQkRFlZWY7tH374ofr27St3d3f5+fkpMTFRFRUVju0RERGKi4tTfHy82rRpo6FDh15zLE2bNlW7du2clr/97W8aM2aMvLy86uqQAQAAAICTZq4u4FqOHTumsWPHavHixXr44Yd19uxZffTRRzIMQ2vXrlVSUpLS0tLUq1cv5eXlKSYmRlarVRMmTHD0MWfOHC1ZskRBQUGaM2eOxo4dq8LCQjVr1kyxsbEqLy/X1q1bZbVaVVBQ4AhgR44c0bBhwzRx4kS9/vrr2rt3r2JiYuTh4aH58+c7+l+zZo2mTp2q7OzsGo/vk08+0c6dO7VixYprtisrK1NZWZnjfWlpaY0/CwAAAEDj1eCDX0VFhaKjoxUQECBJCg0NlSQlJydr6dKlio6OliQFBgaqoKBAK1eudAp+M2fO1PDhwyVJKSkpCgkJUWFhoYKDg3Xo0CGNGjXK0WeXLl0c+6Wnp8vf319paWmyWCwKDg7W0aNHNWvWLCUlJalJk+9OlgYFBWnx4sW1Gt+rr74qu92ue+6555rtFi5cqJSUlFp9BgAAAAA06Es9w8LCNGjQIIWGhmr06NHKyMhQSUmJzp8/r6KiIk2aNEleXl6OZcGCBSoqKnLqo2fPno7Xfn5+kqQTJ05IkqZPn64FCxYoPDxcycnJ2rVrl6Ptnj171L9/f1ksFse68PBwnTt3TocPH3as6927d63G9t///ld/+tOfNGnSpOu2nT17ts6cOeNYvvzyy1p9JgAAAIDGqUEHv6ZNm2rjxo1av369evTooeXLl6t79+7avXu3JCkjI0M7d+50LLt379a2bduc+mjevLnj9eUQV1lZKUmaPHmyiouLNX78eOXn56tPnz5avnx5jWq0Wq21Gtu6det04cIFPfbYY9dt6+7uLpvN5rQAAAAAQHU16OAnfRfWwsPDlZKSory8PLm5uSk7O1vt27dXcXGxunbt6rQEBgbWqH9/f39NmTJFmZmZevrpp5WRkSFJstvtysnJkWEYjrbZ2dny9vZWx44db3hcr776qkaOHKnbbrvthvsCAAAAgGtp0Pf45ebmatOmTRoyZIjatm2r3NxcnTx5Una7XSkpKZo+fbpatmypyMhIlZWVaceOHSopKdGMGTOq1X98fLyioqLUrVs3lZSUaPPmzbLb7ZKkJ598UqmpqZo2bZri4uK0b98+JScna8aMGY77+2qrsLBQW7dudXqCKAAAAADUlwYd/Gw2m7Zu3arU1FSVlpYqICBAS5cudfzmnaenp1588UUlJCTIarUqNDRU8fHx1e7/0qVLio2N1eHDh2Wz2RQZGally5ZJkjp06KCsrCwlJCQoLCxMPj4+mjRpkubOnXvD4/r973+vjh07asiQITfcFwAAAABcT4MOfna7XRs2bLjq9nHjxmncuHFVbuvcubPTZZqS1KpVK6d117ufb8CAAdq+fftVt2/ZsuWa+1/NCy+8oBdeeKFW+wIAAABATTX4e/wAAAAAADeG4FeH1q5d6/TzEt9fQkJCXF0eAAAAgEaqQV/qeasZOXKk+vXrV+W27/+sBAAAAADcTAS/OuTt7S1vb29XlwEAAAAATrjUEwAAAABMjjN+t7DYO33k6+vr6jIAAAAANHCc8QMAAAAAkyP4AQAAAIDJEfwAAAAAwOQIfgAAAABgcgQ/AAAAADA5gh8AAAAAmBzBDwAAAABMjuAHAAAAACZH8AMAAAAAkyP4AQAAAIDJEfwAAAAAwOQIfgAAAABgcgQ/AAAAADA5gh8AAAAAmBzBDwAAAABMjuAHAAAAACZH8AMAAAAAkyP4AQAAAIDJEfwAAAAAwOQIfgAAAABgcgQ/AAAAADA5gh8AAAAAmFwzVxeA2lux+7TcbIary0A1JfZq4+oSAAAA0Ehxxg8AAAAATI7gBwAAAAAmR/ADAAAAAJMj+AEAAACAyRH8AAAAAMDkCH4AAAAAYHIEPwAAAAAwOYJfHXrllVcUEREhm80mi8Wib775xmn7gQMHNGnSJAUGBqpFixa64447lJycrPLyctcUDAAAAKBRIPhVU3XC2YULFxQZGalnnnmmyu179+5VZWWlVq5cqc8++0zLli3Tyy+/fNX2AAAAAFAXXBr81q1bp9DQULVo0UK+vr4aPHiwzp8/L0latWqV7Ha7PDw8FBwcrPT0dMd+Bw4ckMViUWZmpgYOHChPT0+FhYUpJyfH0ebgwYMaMWKEWrduLavVqpCQEGVlZTm2f/jhh+rbt6/c3d3l5+enxMREVVRUOLZHREQoLi5O8fHxatOmjYYOHXrd8cTHxysxMVF33313ldsjIyO1evVqDRkyRF26dNHIkSM1c+ZMZWZmXrPfsrIylZaWOi0AAAAAUF3NXPXBx44d09ixY7V48WI9/PDDOnv2rD766CMZhqG1a9cqKSlJaWlp6tWrl/Ly8hQTEyOr1aoJEyY4+pgzZ46WLFmioKAgzZkzR2PHjlVhYaGaNWum2NhYlZeXa+vWrbJarSooKJCXl5ck6ciRIxo2bJgmTpyo119/XXv37lVMTIw8PDw0f/58R/9r1qzR1KlTlZ2dXW/H4cyZM/Lx8blmm4ULFyolJaXeagAAAABgbi4NfhUVFYqOjlZAQIAkKTQ0VJKUnJyspUuXKjo6WpIUGBiogoICrVy50in4zZw5U8OHD5ckpaSkKCQkRIWFhQoODtahQ4c0atQoR59dunRx7Jeeni5/f3+lpaXJYrEoODhYR48e1axZs5SUlKQmTb47ERoUFKTFixfX2zEoLCzU8uXLtWTJkmu2mz17tmbMmOF4X1paKn9//3qrCwAAAIC5uCz4hYWFadCgQQoNDdXQoUM1ZMgQ/exnP5Obm5uKioo0adIkxcTEONpXVFSoZcuWTn307NnT8drPz0+SdOLECQUHB2v69OmaOnWq3n//fQ0ePFijRo1ytN+zZ4/69+8vi8Xi2D88PFznzp3T4cOH1alTJ0lS79696238R44cUWRkpEaPHu00zqq4u7vL3d293moBAAAAYG4uu8evadOm2rhxo9avX68ePXpo+fLl6t69u3bv3i1JysjI0M6dOx3L7t27tW3bNqc+mjdv7nh9OcRVVlZKkiZPnqzi4mKNHz9e+fn56tOnj5YvX16jGq1W640M8aqOHj2qgQMH6p577tErr7xSL58BAAAAAJe59OEuFotF4eHhSklJUV5entzc3JSdna327duruLhYXbt2dVoCAwNr1L+/v7+mTJmizMxMPf3008rIyJAk2e125eTkyDAMR9vs7Gx5e3urY8eOdTrGHzpy5IgiIiLUu3dvrV692nFZKQAAAADUF5dd6pmbm6tNmzZpyJAhatu2rXJzc3Xy5EnZ7XalpKRo+vTpatmypSIjI1VWVqYdO3aopKTE6V63a4mPj1dUVJS6deumkpISbd68WXa7XZL05JNPKjU1VdOmTVNcXJz27dun5ORkzZgx44aC2PHjx3X8+HEVFhZKkvLz8+Xt7a1OnTrJx8fHEfoCAgK0ZMkSnTx50rFvu3btav25AAAAAHAtLgt+NptNW7duVWpqqkpLSxUQEKClS5cqKipKkuTp6akXX3xRCQkJslqtCg0NVXx8fLX7v3TpkmJjY3X48GHZbDZFRkZq2bJlkqQOHTooKytLCQkJCgsLk4+PjyZNmqS5c+fe0Jhefvllp6dv3n///ZKk1atXa+LEidq4caMKCwtVWFh4xZnF7599BAAAAIC65LLgZ7fbtWHDhqtuHzdunMaNG1flts6dO18RlFq1auW07nr38w0YMEDbt2+/6vYtW7Zcc/+qzJ8/3+nnIH5o4sSJmjhxYo37BQAAAIAbwQ1mAAAAAGByBL9qWrt2rby8vKpcQkJCXF0eAAAAAFyVyy71vNWMHDlS/fr1q3Lb939WAgAAAAAaGoJfNXl7e8vb29vVZQAAAABAjRH8bmGxd/rI19fX1WUAAAAAaOC4xw8AAAAATI7gBwAAAAAmR/ADAAAAAJMj+AEAAACAyRH8AAAAAMDkCH4AAAAAYHIEPwAAAAAwOYIfAAAAAJgcwQ8AAAAATI7gBwAAAAAmR/ADAAAAAJMj+AEAAACAyRH8AAAAAMDkCH4AAAAAYHIEPwAAAAAwOYIfAAAAAJgcwQ8AAAAATI7gBwAAAAAmR/ADAAAAAJMj+AEAAACAyRH8AAAAAMDkCH4AAAAAYHLNXF0Aam/F7tNysxmuLgP1rEllhbpLWrbrlCqb3Bp/som92ri6BAAAAHwPZ/wAAAAAwOQIfgAAAABgcgQ/AAAAADA5gh8AAAAAmBzBDwAAAABMjuAHAAAAACZH8AMAAAAAk6uz4PfNN9/UVVe3rFdeeUURERGy2WyyWCzXPCZlZWX60Y9+JIvFop07d960GgEAAAA0PrUKfr/5zW/0l7/8xfF+zJgx8vX1VYcOHfTpp5/WWXENSXl5+XXbXLhwQZGRkXrmmWeu2/b//b//p/bt29dFaQAAAABwTbUKfi+//LL8/f0lSRs3btTGjRu1fv16RUVFKSEhodr9rFu3TqGhoWrRooV8fX01ePBgnT9/XpK0atUq2e12eXh4KDg4WOnp6Y79Dhw4IIvFoszMTA0cOFCenp4KCwtTTk6Oo83Bgwc1YsQItW7dWlarVSEhIcrKynJs//DDD9W3b1+5u7vLz89PiYmJqqiocGyPiIhQXFyc4uPj1aZNGw0dOvS644mPj1diYqLuvvvua7Zbv3693n//fS1ZsqTaxwoAAAAAaqtZbXY6fvy4I/i99957GjNmjIYMGaLOnTurX79+1erj2LFjGjt2rBYvXqyHH35YZ8+e1UcffSTDMLR27VolJSUpLS1NvXr1Ul5enmJiYmS1WjVhwgRHH3PmzNGSJUsUFBSkOXPmaOzYsSosLFSzZs0UGxur8vJybd26VVarVQUFBfLy8pIkHTlyRMOGDdPEiRP1+uuva+/evYqJiZGHh4fmz5/v6H/NmjWaOnWqsrOza3OYqvTVV18pJiZGb7/9tjw9Pau1T1lZmcrKyhzvS0tL66weAAAAAOZXq+DXunVrffnll/L399eGDRu0YMECSZJhGLp06VK1+jh27JgqKioUHR2tgIAASVJoaKgkKTk5WUuXLlV0dLQkKTAwUAUFBVq5cqVT8Js5c6aGDx8uSUpJSVFISIgKCwsVHBysQ4cOadSoUY4+u3Tp4tgvPT1d/v7+SktLk8ViUXBwsI4ePapZs2YpKSlJTZp8dyI0KChIixcvrs0hqpJhGJo4caKmTJmiPn366MCBA9Xab+HChUpJSamzOgAAAAA0LrW61DM6Olrjxo3Tgw8+qFOnTikqKkqSlJeXp65du1arj7CwMA0aNEihoaEaPXq0MjIyVFJSovPnz6uoqEiTJk2Sl5eXY1mwYIGKioqc+ujZs6fjtZ+fnyTpxIkTkqTp06drwYIFCg8PV3Jysnbt2uVou2fPHvXv318Wi8WxLjw8XOfOndPhw4cd63r37l3DI3Nty5cv19mzZzV79uwa7Td79mydOXPGsXz55Zd1WhcAAAAAc6tV8Fu2bJni4uLUo0cPbdy40XEJ5bFjx/Tkk09Wq4+mTZs67g3s0aOHli9fru7du2v37t2SpIyMDO3cudOx7N69W9u2bXPqo3nz5o7Xl0NcZWWlJGny5MkqLi7W+PHjlZ+frz59+mj58uU1GqfVaq1R++v54IMPlJOTI3d3dzVr1swRkvv06eN0JvOH3N3dZbPZnBYAAAAAqK5aXerZvHlzzZw584r1Tz31VI36sVgsCg8PV3h4uJKSkhQQEKDs7Gy1b99excXFevTRR2tTnoO/v7+mTJmiKVOmaPbs2crIyNC0adNkt9v11ltvyTAMR2DMzs6Wt7e3OnbseEOfeS2/+93vHJfFStLRo0c1dOhQ/eUvf6n2vZEAAAAAUFO1Cn6S9Ic//EErV65UcXGxcnJyFBAQoNTUVAUGBuqhhx667v65ubnatGmThgwZorZt2yo3N1cnT56U3W5XSkqKpk+frpYtWyoyMlJlZWXasWOHSkpKNGPGjGrVFx8fr6ioKHXr1k0lJSXavHmz7Ha7JOnJJ59Uamqqpk2bpri4OO3bt0/JycmaMWOG4/6+2jh+/LiOHz+uwsJCSVJ+fr68vb3VqVMn+fj4qFOnTk7tL58pveOOO+o1cAIAAABo3GqVcl566SXNmDFDUVFR+uabbxwPdGnVqpVSU1Or1YfNZtPWrVs1bNgwdevWTXPnztXSpUsVFRWlyZMna9WqVVq9erVCQ0M1YMAAvfbaawoMDKx2jZcuXVJsbKzsdrsiIyPVrVs3x09CdOjQQVlZWdq+fbvCwsI0ZcoUTZo0SXPnzq3xsfi+l19+Wb169VJMTIwk6f7771evXr30zjvv3FC/AAAAAHAjanXGb/ny5crIyNBPf/pTLVq0yLG+T58+VV4CWhW73a4NGzZcdfu4ceM0bty4Krd17txZhmE4rWvVqpXTuuvdzzdgwABt3779qtu3bNlyzf2rMn/+fKefg7ieqsYBAAAAAHWtVmf89u/fr169el2x3t3d3fED7AAAAACAhqFWwS8wMFA7d+68Yv2GDRsc99GZzdq1a51+XuL7S0hIiKvLAwAAAICrqtWlnjNmzFBsbKy+/fZbGYah7du3689//rMWLlyoVatW1XWNDcLIkSOv+uTN7/+sBAAAAAA0NLUKfpMnT1aLFi00d+5cXbhwQePGjVP79u3129/+Vo888khd19ggeHt7y9vb29VlAAAAAECN1Tj4VVRU6E9/+pOGDh2qRx99VBcuXNC5c+fUtm3b+qgP1xB7p498fX1dXQbq2cWLF5V1WHqqpy9nlwEAAFArNb7Hr1mzZpoyZYq+/fZbSZKnpyehDwAAAAAasFo93KVv377Ky8ur61oAAAAAAPWgVvf4Pfnkk3r66ad1+PBh9e7dW1ar1Wl7z54966Q4AAAAAMCNq1Xwu/wAl+nTpzvWWSwWGYYhi8WiS5cu1U11AAAAAIAbVqvgt3///rquAwAAAABQT2oV/AICAuq6DgAAAABAPalV8Hv99devuf2xxx6rVTEAAAAAgLpXq+D361//2un9xYsXdeHCBbm5ucnT05PgBwAAAAANSK1+zqGkpMRpOXfunPbt26d7771Xf/7zn+u6RgAAAADADahV8KtKUFCQFi1adMXZQAAAAACAa9VZ8JOkZs2a6ejRo3XZJQAAAADgBtXqHr933nnH6b1hGDp27JjS0tIUHh5eJ4UBAAAAAOpGrYLfT3/6U6f3FotFt912mx544AEtXbq0LuoCAAAAANSRWgW/ysrKuq4DAAAAAFBPanWP37PPPqsLFy5csf6///2vnn322RsuCgAAAABQd2oV/FJSUnTu3Lkr1l+4cEEpKSk3XBQAAAAAoO7UKvgZhiGLxXLF+k8//VQ+Pj43XBQAAAAAoO7U6B6/1q1by2KxyGKxqFu3bk7h79KlSzp37pymTJlS50UCAAAAAGqvRsEvNTVVhmHol7/8pVJSUtSyZUvHNjc3N3Xu3Fn9+/ev8yIBAAAAALVXo+A3YcIESVJgYKDuueceNW/evF6KAgAAAADUnVr9nMOAAQMcr7/99luVl5c7bbfZbDdWFQAAAACgztTq4S4XLlxQXFyc2rZtK6vVqtatWzstAAAAAICGo1Zn/BISErR582a99NJLGj9+vFasWKEjR45o5cqVWrRoUV3XiKtYsfu03GyGq8tAPWtSWaHukpbtOqXKJrX6kzWFxF5tXF0CAADALatW/xb57rvv6vXXX1dERIQef/xx3XffferatasCAgK0du1aPfroo3VdJwAAAACglmp1qefp06fVpUsXSd/dz3f69GlJ0r333qutW7fWXXUAAAAAgBtWq+DXpUsX7d+/X5IUHBysN998U9J3ZwJbtWpVZ8UBAAAAAG5crYLf448/rk8//VSSlJiYqBUrVsjDw0NPPfWUEhIS6rRAAAAAAMCNqdU9fk899ZTj9eDBg7V371598skn6tq1q3r27FlnxQEAAAAAbtwNPyLw22+/VUBAgAICAuqiHgAAAABAHavVpZ6XLl3Sc889pw4dOsjLy0vFxcWSpHnz5unVV1+t0wIBAAAAADemVsHv+eef12uvvabFixfLzc3Nsf7OO+/UqlWr6qy4W80rr7yiiIgI2Ww2WSwWffPNN1e06dy5sywWi9PCbx8CAAAAqE+1Cn6vv/66XnnlFT366KNq2rSpY31YWJj27t1bZ8U1JOXl5ddtc+HCBUVGRuqZZ565Zrtnn31Wx44dcyzTpk2rqzIBAAAA4Aq1Cn5HjhxR165dr1hfWVmpixcvVrufdevWKTQ0VC1atJCvr68GDx6s8+fPS5JWrVolu90uDw8PBQcHKz093bHfgQMHZLFYlJmZqYEDB8rT01NhYWHKyclxtDl48KBGjBih1q1by2q1KiQkRFlZWY7tH374ofr27St3d3f5+fkpMTFRFRUVju0RERGKi4tTfHy82rRpo6FDh153PPHx8UpMTNTdd999zXbe3t5q166dY7FardU+ZgAAAABQU7UKfj169NBHH310xfp169apV69e1erj2LFjGjt2rH75y19qz5492rJli6Kjo2UYhtauXaukpCQ9//zz2rNnj1544QXNmzdPa9ascepjzpw5mjlzpnbu3Klu3bpp7NixjvAWGxursrIybd26Vfn5+frNb34jLy8vSd8F12HDhunHP/6xPv30U7300kt69dVXtWDBAqf+16xZIzc3N2VnZ+vll1+uzaGq0qJFi+Tr66tevXrpxRdfdAqcVSkrK1NpaanTAgAAAADVVauneiYlJWnChAk6cuSIKisrlZmZqX379un111/Xe++9V60+jh07poqKCkVHRzueCBoaGipJSk5O1tKlSxUdHS1JCgwMVEFBgVauXKkJEyY4+pg5c6aGDx8uSUpJSVFISIgKCwsVHBysQ4cOadSoUY4+u3Tp4tgvPT1d/v7+SktLk8ViUXBwsI4ePapZs2YpKSlJTZp8l4eDgoK0ePHi2hyiq5o+fbruuusu+fj46OOPP9bs2bN17Ngx/c///M9V91m4cKFSUlLqtA4AAAAAjUeNzvgVFxfLMAw99NBDevfdd/XPf/5TVqtVSUlJ2rNnj9599109+OCD1eorLCxMgwYNUmhoqEaPHq2MjAyVlJTo/PnzKioq0qRJk+Tl5eVYFixYoKKiIqc+vv+bgX5+fpKkEydOSPouYC1YsEDh4eFKTk7Wrl27HG337Nmj/v37y2KxONaFh4fr3LlzOnz4sGNd7969a3J4qmXGjBmKiIhQz549NWXKFC1dulTLly9XWVnZVfeZPXu2zpw541i+/PLLOq8LAAAAgHnVKPgFBQXp5MmTkqT77rtPPj4+ys/P14ULF/Svf/1LQ4YMqXZfTZs21caNG7V+/Xr16NFDy5cvV/fu3bV7925JUkZGhnbu3OlYdu/erW3btjn10bx5c8fryyGusrJSkjR58mQVFxdr/Pjxys/PV58+fbR8+fKaDPem3HvXr18/VVRU6MCBA1dt4+7uLpvN5rQAAAAAQHXVKPgZhuH0fv369Y6HsdSGxWJReHi4UlJSlJeX57ifrn379iouLlbXrl2dlsDAwBr17+/vrylTpigzM1NPP/20MjIyJEl2u105OTlO48nOzpa3t7c6duxY6/HUxs6dO9WkSRO1bdv2pn4uAAAAgMajVvf4XfbDIFgTubm52rRpk4YMGaK2bdsqNzdXJ0+elN1uV0pKiqZPn66WLVsqMjJSZWVl2rFjh0pKSjRjxoxq9R8fH6+oqCh169ZNJSUl2rx5s+x2uyTpySefVGpqqqZNm6a4uDjt27dPycnJmjFjhuP+vto4fvy4jh8/rsLCQklSfn6+vL291alTJ/n4+CgnJ0e5ubkaOHCgvL29lZOTo6eeekq/+MUv1Lp161p/LgAAAABcS42C3+UfHP/hutqw2WzaunWrUlNTVVpaqoCAAC1dulRRUVGSJE9PT7344otKSEiQ1WpVaGio4uPjq93/pUuXFBsbq8OHD8tmsykyMlLLli2TJHXo0EFZWVlKSEhQWFiYfHx8NGnSJM2dO7dWY7ns5ZdfdnoIy/333y9JWr16tSZOnCh3d3e98cYbmj9/vsrKyhQYGKinnnqq2mEWAAAAAGqjRsHPMAxHgJGkb7/9VlOmTLniXrjMzMzr9mW327Vhw4arbh83bpzGjRtX5bbOnTtfcbaxVatWTuuudz/fgAEDtH379qtu37JlyzX3r8r8+fM1f/78q26/6667rrhPEQAAAADqW42C3/d/SkGSfvGLX9RpMQAAAACAulej4Ld69er6qqPBW7t2rX71q19VuS0gIECfffbZTa4IAAAAAKrnhh7u0piMHDlS/fr1q3Lb939WAgAAAAAaGoJfNXl7e8vb29vVZQAAAABAjRH8bmGxd/rI19fX1WWgnl28eFFZh6WnevpydhkAAAC1UvsfrQMAAAAA3BIIfgAAAABgcgQ/AAAAADA5gh8AAAAAmBzBDwAAAABMjuAHAAAAACZH8AMAAAAAkyP4AQAAAIDJEfwAAAAAwOQIfgAAAABgcgQ/AAAAADA5gh8AAAAAmBzBDwAAAABMjuAHAAAAACZH8AMAAAAAkyP4AQAAAIDJEfwAAAAAwOQIfgAAAABgcgQ/AAAAADA5gh8AAAAAmBzBDwAAAABMjuAHAAAAACbXzNUFoPZW7D4tN5vh6jJQz5pUVqi7pGW7TqmyCX+yNZXYq42rSwAAAHA5zvgBAAAAgMkR/AAAAADA5Ah+AAAAAGByBD8AAAAAMDmCHwAAAACYHMEPAAAAAEyO4AcAAAAAJkfwu8mKior08MMP67bbbpPNZtOYMWP01VdfubosAAAAACZG8KtD5eXl19x+/vx5DRkyRBaLRR988IGys7NVXl6uESNGqLKy8iZVCQAAAKCxafDBb926dQoNDVWLFi3k6+urwYMH6/z585KkVatWyW63y8PDQ8HBwUpPT3fsd+DAAVksFmVmZmrgwIHy9PRUWFiYcnJyHG0OHjyoESNGqHXr1rJarQoJCVFWVpZj+4cffqi+ffvK3d1dfn5+SkxMVEVFhWN7RESE4uLiFB8frzZt2mjo0KHXHEt2drYOHDig1157TaGhoQoNDdWaNWu0Y8cOffDBB3V1yAAAAADASTNXF3Atx44d09ixY7V48WI9/PDDOnv2rD766CMZhqG1a9cqKSlJaWlp6tWrl/Ly8hQTEyOr1aoJEyY4+pgzZ46WLFmioKAgzZkzR2PHjlVhYaGaNWum2NhYlZeXa+vWrbJarSooKJCXl5ck6ciRIxo2bJgmTpyo119/XXv37lVMTIw8PDw0f/58R/9r1qzR1KlTlZ2dfd3xlJWVyWKxyN3d3bHOw8NDTZo00b/+9S8NHjz4qvuVlZU53peWltb0UAIAAABoxBp88KuoqFB0dLQCAgIkSaGhoZKk5ORkLV26VNHR0ZKkwMBAFRQUaOXKlU7Bb+bMmRo+fLgkKSUlRSEhISosLFRwcLAOHTqkUaNGOfrs0qWLY7/09HT5+/srLS1NFotFwcHBOnr0qGbNmqWkpCQ1afLdydKgoCAtXry4WuO5++67ZbVaNWvWLL3wwgsyDEOJiYm6dOmSjh07dtX9Fi5cqJSUlOoeNgAAAABw0qAv9QwLC9OgQYMUGhqq0aNHKyMjQyUlJTp//ryKioo0adIkeXl5OZYFCxaoqKjIqY+ePXs6Xvv5+UmSTpw4IUmaPn26FixYoPDwcCUnJ2vXrl2Otnv27FH//v1lsVgc68LDw3Xu3DkdPnzYsa53797VHs9tt92mv/71r3r33Xfl5eWlli1b6ptvvtFdd93lCJJVmT17ts6cOeNYvvzyy2p/JgAAAAA06ODXtGlTbdy4UevXr1ePHj20fPlyde/eXbt375YkZWRkaOfOnY5l9+7d2rZtm1MfzZs3d7y+HOIuP0hl8uTJKi4u1vjx45Wfn68+ffpo+fLlNarRarXWqP2QIUNUVFSkEydO6Ouvv9Yf/vAHHTlyxOls4w+5u7vLZrM5LQAAAABQXQ06+EnfhbXw8HClpKQoLy9Pbm5uys7OVvv27VVcXKyuXbs6LYGBgTXq39/fX1OmTFFmZqaefvppZWRkSJLsdrtycnJkGIajbXZ2try9vdWxY8cbHlebNm3UqlUrffDBBzpx4oRGjhx5w30CAAAAQFUa9D1+ubm52rRpk4YMGaK2bdsqNzdXJ0+elN1uV0pKiqZPn66WLVsqMjJSZWVl2rFjh0pKSjRjxoxq9R8fH6+oqCh169ZNJSUl2rx5s+x2uyTpySefVGpqqqZNm6a4uDjt27dPycnJmjFjxjUvy7ye1atXy26367bbblNOTo5+/etf66mnnlL37t1r3ScAAAAAXEuDDn42m01bt25VamqqSktLFRAQoKVLlyoqKkqS5OnpqRdffFEJCQmyWq0KDQ1VfHx8tfu/dOmSYmNjdfjwYdlsNkVGRmrZsmWSpA4dOigrK0sJCQkKCwuTj4+PJk2apLlz597QmPbt26fZs2fr9OnT6ty5s+bMmaOnnnrqhvoEAAAAgGtp0MHPbrdrw4YNV90+btw4jRs3rsptnTt3drpMU5JatWrltO569/MNGDBA27dvv+r2LVu2XHP/qixatEiLFi2q8X4AAAAAUFsN/h4/AAAAAMCNIfjVobVr1zr9vMT3l5CQEFeXBwAAAKCRatCXet5qRo4cqX79+lW57fs/KwEAAAAANxPBrw55e3vL29vb1WUAAAAAgBMu9QQAAAAAk+OM3y0s9k4f+fr6uroM1LOLFy8q67D0VE9fLhkGAABArXDGDwAAAABMjuAHAAAAACZH8AMAAAAAkyP4AQAAAIDJEfwAAAAAwOQIfgAAAABgcgQ/AAAAADA5gh8AAAAAmBzBDwAAAABMjuAHAAAAACZH8AMAAAAAkyP4AQAAAIDJEfwAAAAAwOQIfgAAAABgcgQ/AAAAADA5gh8AAAAAmBzBDwAAAABMjuAHAAAAACZH8AMAAAAAkyP4AQAAAIDJEfwAAAAAwOQIfgAAAABgcs1cXQBqb8Xu03KzGa4uA/WsSWWFuktatuuUKpvwJ3ujEnu1cXUJAAAANx1n/AAAAADA5Ah+AAAAAGByBD8AAAAAMDmCHwAAAACYHMEPAAAAAEyO4AcAAAAAJkfwcxHDMBQVFSWLxaK3337b1eUAAAAAMDGCXx0qLy+vdtvU1FRZLJZ6rAYAAAAAvtPgg9+6desUGhqqFi1ayNfXV4MHD9b58+clSatWrZLdbpeHh4eCg4OVnp7u2O/AgQOyWCzKzMzUwIED5enpqbCwMOXk5DjaHDx4UCNGjFDr1q1ltVoVEhKirKwsx/YPP/xQffv2lbu7u/z8/JSYmKiKigrH9oiICMXFxSk+Pl5t2rTR0KFDqzWmnTt3aunSpfr9739/o4cHAAAAAK6rmasLuJZjx45p7NixWrx4sR5++GGdPXtWH330kQzD0Nq1a5WUlKS0tDT16tVLeXl5iomJkdVq1YQJExx9zJkzR0uWLFFQUJDmzJmjsWPHqrCwUM2aNVNsbKzKy8u1detWWa1WFRQUyMvLS5J05MgRDRs2TBMnTtTrr7+uvXv3KiYmRh4eHpo/f76j/zVr1mjq1KnKzs6u1pguXLigcePGacWKFWrXrl219ikrK1NZWZnjfWlpabX2AwAAAADpFgh+FRUVio6OVkBAgCQpNDRUkpScnKylS5cqOjpakhQYGKiCggKtXLnSKfjNnDlTw4cPlySlpKQoJCREhYWFCg4O1qFDhzRq1ChHn126dHHsl56eLn9/f6WlpclisSg4OFhHjx7VrFmzlJSUpCZNvjtZGhQUpMWLF1d7TE899ZTuuecePfTQQ9XeZ+HChUpJSal2ewAAAAD4vgZ9qWdYWJgGDRqk0NBQjR49WhkZGSopKdH58+dVVFSkSZMmycvLy7EsWLBARUVFTn307NnT8drPz0+SdOLECUnS9OnTtWDBAoWHhys5OVm7du1ytN2zZ4/69+/vdB9eeHi4zp07p8OHDzvW9e7du9rjeeedd/TBBx8oNTW1Rsdh9uzZOnPmjGP58ssva7Q/AAAAgMatQQe/pk2bauPGjVq/fr169Oih5cuXq3v37tq9e7ckKSMjQzt37nQsu3fv1rZt25z6aN68ueP15RBXWVkpSZo8ebKKi4s1fvx45efnq0+fPlq+fHmNarRardVu+8EHH6ioqEitWrVSs2bN1KzZdydcR40apYiIiKvu5+7uLpvN5rQAAAAAQHU16OAnfRfWwsPDlZKSory8PLm5uSk7O1vt27dXcXGxunbt6rQEBgbWqH9/f39NmTJFmZmZevrpp5WRkSFJstvtysnJkWEYjrbZ2dny9vZWx44dazWWxMRE7dq1yymsStKyZcu0evXqWvUJAAAAANfToO/xy83N1aZNmzRkyBC1bdtWubm5OnnypOx2u1JSUjR9+nS1bNlSkZGRKisr044dO1RSUqIZM2ZUq//4+HhFRUWpW7duKikp0ebNm2W32yVJTz75pFJTUzVt2jTFxcVp3759Sk5O1owZMxz399VUu3btqnygS6dOnWocWAEAAACguhp08LPZbNq6datSU1NVWlqqgIAALV26VFFRUZIkT09Pvfjii0pISJDValVoaKji4+Or3f+lS5cUGxurw4cPy2azKTIyUsuWLZMkdejQQVlZWUpISFBYWJh8fHw0adIkzZ07tz6GCgAAAAD1pkEHP7vdrg0bNlx1+7hx4zRu3Lgqt3Xu3NnpMk1JatWqldO6693PN2DAAG3fvv2q27ds2XLN/avjhzUCAAAAQF1r8Pf4AQAAAABuDMGvDq1du9bp5yW+v4SEhLi6PAAAAACNVIO+1PNWM3LkSPXr16/Kbd//WQkAAAAAuJkIfnXI29tb3t7eri4DAAAAAJxwqScAAAAAmBxn/G5hsXf6yNfX19VloJ5dvHhRWYelp3r6cskwAAAAaoUzfgAAAABgcgQ/AAAAADA5gh8AAAAAmBzBDwAAAABMjuAHAAAAACZH8AMAAAAAkyP4AQAAAIDJEfwAAAAAwOQIfgAAAABgcgQ/AAAAADA5gh8AAAAAmBzBDwAAAABMjuAHAAAAACZH8AMAAAAAkyP4AQAAAIDJEfwAAAAAwOQIfgAAAABgcgQ/AAAAADA5gh8AAAAAmBzBDwAAAABMjuAHAAAAACZH8AMAAAAAk2vm6gJQeyt2n5abzXB1GahnTSor1F3Ssl2nVNmEP9nGgDlvXJjvxoX5blwSe7VxdQmAA2f8AAAAAMDkCH4AAAAAYHIEPwAAAAAwOYIfAAAAAJgcwQ8AAAAATI7gBwAAAAAmR/ADAAAAAJMj+NWhV155RREREbLZbLJYLPrmm2+uaDNy5Eh16tRJHh4e8vPz0/jx43X06NGbXywAAACARoPgV03l5eXXbXPhwgVFRkbqmWeeuWqbgQMH6s0339S+ffv01ltvqaioSD/72c/qslQAAAAAcOLS4Ldu3TqFhoaqRYsW8vX11eDBg3X+/HlJ0qpVq2S32+Xh4aHg4GClp6c79jtw4IAsFosyMzM1cOBAeXp6KiwsTDk5OY42Bw8e1IgRI9S6dWtZrVaFhIQoKyvLsf3DDz9U37595e7uLj8/PyUmJqqiosKxPSIiQnFxcYqPj1ebNm00dOjQ644nPj5eiYmJuvvuu6/a5qmnntLdd9+tgIAA3XPPPUpMTNS2bdt08eLFq+5TVlam0tJSpwUAAAAAqquZqz742LFjGjt2rBYvXqyHH35YZ8+e1UcffSTDMLR27VolJSUpLS1NvXr1Ul5enmJiYmS1WjVhwgRHH3PmzNGSJUsUFBSkOXPmaOzYsSosLFSzZs0UGxur8vJybd26VVarVQUFBfLy8pIkHTlyRMOGDdPEiRP1+uuva+/evYqJiZGHh4fmz5/v6H/NmjWaOnWqsrOz6+UYnD59WmvXrtU999yj5s2bX7XdwoULlZKSUi81AAAAADA/lwa/iooKRUdHKyAgQJIUGhoqSUpOTtbSpUsVHR0tSQoMDFRBQYFWrlzpFPxmzpyp4cOHS5JSUlIUEhKiwsJCBQcH69ChQxo1apSjzy5dujj2S09Pl7+/v9LS0mSxWBQcHKyjR49q1qxZSkpKUpMm350IDQoK0uLFi+t87LNmzVJaWpouXLigu+++W++9994128+ePVszZsxwvC8tLZW/v3+d1wUAAADAnFx2qWdYWJgGDRqk0NBQjR49WhkZGSopKdH58+dVVFSkSZMmycvLy7EsWLBARUVFTn307NnT8drPz0+SdOLECUnS9OnTtWDBAoWHhys5OVm7du1ytN2zZ4/69+8vi8XiWBceHq5z587p8OHDjnW9e/eul7EnJCQoLy9P77//vpo2barHHntMhmFctb27u7tsNpvTAgAAAADV5bLg17RpU23cuFHr169Xjx49tHz5cnXv3l27d++WJGVkZGjnzp2OZffu3dq2bZtTH9+/PPJyiKusrJQkTZ48WcXFxRo/frzy8/PVp08fLV++vEY1Wq3WGxniVbVp00bdunXTgw8+qDfeeENZWVlXjA0AAAAA6opLH+5isVgUHh6ulJQU5eXlyc3NTdnZ2Wrfvr2Ki4vVtWtXpyUwMLBG/fv7+2vKlCnKzMzU008/rYyMDEmS3W5XTk6O01m27OxseXt7q2PHjnU6xuu5HFTLyspu6ucCAAAAaDxcdo9fbm6uNm3apCFDhqht27bKzc3VyZMnZbfblZKSounTp6tly5aKjIxUWVmZduzYoZKSEqd73a4lPj5eUVFR6tatm0pKSrR582bZ7XZJ0pNPPqnU1FRNmzZNcXFx2rdvn5KTkzVjxgzH/X21cfz4cR0/flyFhYWSpPz8fHl7e6tTp07y8fFRbm6u/v3vf+vee+9V69atVVRUpHnz5umOO+5Q//79a/25AAAAAHAtLgt+NptNW7duVWpqqkpLSxUQEKClS5cqKipKkuTp6akXX3xRCQkJslqtCg0NVXx8fLX7v3TpkmJjY3X48GHZbDZFRkZq2bJlkqQOHTooKytLCQkJCgsLk4+PjyZNmqS5c+fe0Jhefvllp6dv3n///ZKk1atXa+LEifL09FRmZqaSk5N1/vx5+fn5KTIyUnPnzpW7u/sNfTYAAAAAXI3FuNZTRdAglZaWqmXLlkrZ8rncbK1dXQ7qWZPKCnU/nKt9HfupsonL/lsNbiLmvHFhvhsX5rtxSezVRhcvXlRWVpaGDRt2zZ/vgjm4Yr4vZ4MzZ85c8yGQLr3HDwAAAABQ/wh+1bR27Vqnn5f4/hISEuLq8gAAAADgqrjGoJpGjhypfv36VbmN0/YAAAAAGjKCXzV5e3vL29vb1WUAAAAAQI0R/G5hsXf6yNfX19VloJ5dvHhRWYelp3r6cna5kWDOGxfmu3FhvgG4Cvf4AQAAAIDJEfwAAAAAwOQIfgAAAABgcgQ/AAAAADA5gh8AAAAAmBzBDwAAAABMjuAHAAAAACZH8AMAAAAAkyP4AQAAAIDJEfwAAAAAwOQIfgAAAABgcgQ/AAAAADA5gh8AAAAAmBzBDwAAAABMjuAHAAAAACZH8AMAAAAAkyP4AQAAAIDJEfwAAAAAwOQIfgAAAABgcgQ/AAAAADA5gh8AAAAAmBzBDwAAAABMrpmrC0Dtrdh9Wm42w9VloJ41qaxQd0nLdp1SZRP+ZBsD5rxxYb4bF+a78WHOzSexVxtXl1ArnPEDAAAAAJMj+AEAAACAyRH8AAAAAMDkCH4AAAAAYHIEPwAAAAAwOYIfAAAAAJgcwQ8AAAAATI7gV4deeeUVRUREyGazyWKx6JtvvrmizfPPP6977rlHnp6eatWq1U2vEQAAAEDjQ/CrpvLy8uu2uXDhgiIjI/XMM89cs5/Ro0dr6tSpdVkeAAAAAFyVS4PfunXrFBoaqhYtWsjX11eDBw/W+fPnJUmrVq2S3W6Xh4eHgoODlZ6e7tjvwIEDslgsyszM1MCBA+Xp6amwsDDl5OQ42hw8eFAjRoxQ69atZbVaFRISoqysLMf2Dz/8UH379pW7u7v8/PyUmJioiooKx/aIiAjFxcUpPj5ebdq00dChQ687nvj4eCUmJuruu+++apuUlBQ99dRTCg0NrdGxAgAAAIDaauaqDz527JjGjh2rxYsX6+GHH9bZs2f10UcfyTAMrV27VklJSUpLS1OvXr2Ul5enmJgYWa1WTZgwwdHHnDlztGTJEgUFBWnOnDkaO3asCgsL1axZM8XGxqq8vFxbt26V1WpVQUGBvLy8JElHjhzRsGHDNHHiRL3++uvau3evYmJi5OHhofnz5zv6X7NmjaZOnars7OybfXiclJWVqayszPG+tLTUhdUAAAAAuNW4NPhVVFQoOjpaAQEBkuQ4C5acnKylS5cqOjpakhQYGKiCggKtXLnSKfjNnDlTw4cPl/TdmbSQkBAVFhYqODhYhw4d0qhRoxx9dunSxbFfenq6/P39lZaWJovFouDgYB09elSzZs1SUlKSmjT57kRoUFCQFi9eXP8H4zoWLlyolJQUV5cBAAAA4Bblsks9w8LCNGjQIIWGhmr06NHKyMhQSUmJzp8/r6KiIk2aNEleXl6OZcGCBSoqKnLqo2fPno7Xfn5+kqQTJ05IkqZPn64FCxYoPDxcycnJ2rVrl6Ptnj171L9/f1ksFse68PBwnTt3TocPH3as6927d72MvaZmz56tM2fOOJYvv/zS1SUBAAAAuIW4LPg1bdpUGzdu1Pr169WjRw8tX75c3bt31+7duyVJGRkZ2rlzp2PZvXu3tm3b5tRH8+bNHa8vh7jKykpJ0uTJk1VcXKzx48crPz9fffr00fLly2tUo9VqvZEh1hl3d3fZbDanBQAAAACqy6UPd7FYLAoPD1dKSory8vLk5uam7OxstW/fXsXFxeratavTEhgYWKP+/f39NWXKFGVmZurpp59WRkaGJMlutysnJ0eGYTjaZmdny9vbWx07dqzTMQIAAACAq7nsHr/c3Fxt2rRJQ4YMUdu2bZWbm6uTJ0/KbrcrJSVF06dPV8uWLRUZGamysjLt2LFDJSUlmjFjRrX6j4+PV1RUlLp166aSkhJt3rxZdrtdkvTkk08qNTVV06ZNU1xcnPbt26fk5GTNmDHDcX9fbRw/flzHjx9XYWGhJCk/P1/e3t7q1KmTfHx8JEmHDh3S6dOndejQIV26dEk7d+6UJHXt2tXx8BkAAAAAqEsuC342m01bt25VamqqSktLFRAQoKVLlyoqKkqS5OnpqRdffFEJCQmyWq0KDQ1VfHx8tfu/dOmSYmNjdfjwYdlsNkVGRmrZsmWSpA4dOigrK0sJCQkKCwuTj4+PJk2apLlz597QmF5++WWnh7Dcf//9kqTVq1dr4sSJkqSkpCStWbPG0aZXr16SpM2bNysiIuKGPh8AAAAAqmIxvn+9I24JpaWlatmypVK2fC43W2tXl4N61qSyQt0P52pfx36qbOKy/1aDm4g5b1yY78aF+W58mHPzSezV5qrbLl68qKysLA0bNszpeST16XI2OHPmzDWfBeLSe/wAAAAAAPWP4FdNa9eudfp5ie8vISEhri4PAAAAAK6K883VNHLkSPXr16/KbTfrNC4AAAAA1AbBr5q8vb3l7e3t6jIAAAAAoMYIfrew2Dt95Ovr6+oyUM8uXryorMPSUz19ObvcSDDnjQvz3bgw340Pc46Ggnv8AAAAAMDkCH4AAAAAYHIEPwAAAAAwOYIfAAAAAJgcwQ8AAAAATI7gBwAAAAAmR/ADAAAAAJMj+AEAAACAyRH8AAAAAMDkCH4AAAAAYHLNXF0Aas4wDEnS2bNn1bx5cxdXg/p28eJFXbhwQaWlpcx3I8GcNy7Md+PCfDc+zHnj4or5Li0tlfR/GeFqCH63oFOnTkmSAgMDXVwJAAAAgIbg7Nmzatmy5VW3E/xuQT4+PpKkQ4cOXXNyYQ6lpaXy9/fXl19+KZvN5upycBMw540L8924MN+ND3PeuLhivg3D0NmzZ9W+fftrtiP43YKaNPnu1syWLVvyD5BGxGazMd+NDHPeuDDfjQvz3fgw543LzZ7v6pwM4uEuAAAAAGByBD8AAAAAMDmC3y3I3d1dycnJcnd3d3UpuAmY78aHOW9cmO/GhflufJjzxqUhz7fFuN5zPwEAAAAAtzTO+AEAAACAyRH8AAAAAMDkCH4AAAAAYHIEPwAAAAAwOYJfA7BixQp17txZHh4e6tevn7Zv337N9n/9618VHBwsDw8PhYaGKisry2m7YRhKSkqSn5+fWrRoocGDB+uLL76ozyGghup6zidOnCiLxeK0REZG1ucQUAM1me/PPvtMo0aNUufOnWWxWJSamnrDfeLmquv5nj9//hV/38HBwfU4AtRUTeY8IyND9913n1q3bq3WrVtr8ODBV7Tne7xhq+v55ju84avJnGdmZqpPnz5q1aqVrFarfvSjH+kPf/iDUxuX/Y0bcKk33njDcHNzM37/+98bn332mRETE2O0atXK+Oqrr6psn52dbTRt2tRYvHixUVBQYMydO9do3ry5kZ+f72izaNEio2XLlsbbb79tfPrpp8bIkSONwMBA47///e/NGhauoT7mfMKECUZkZKRx7Ngxx3L69OmbNSRcQ03ne/v27cbMmTONP//5z0a7du2MZcuW3XCfuHnqY76Tk5ONkJAQp7/vkydP1vNIUF01nfNx48YZK1asMPLy8ow9e/YYEydONFq2bGkcPnzY0Ybv8YarPuab7/CGraZzvnnzZiMzM9MoKCgwCgsLjdTUVKNp06bGhg0bHG1c9TdO8HOxvn37GrGxsY73ly5dMtq3b28sXLiwyvZjxowxhg8f7rSuX79+xq9+9SvDMAyjsrLSaNeunfHiiy86tn/zzTeGu7u78ec//7keRoCaqus5N4zvvjQeeuiheqkXN6am8/19AQEBVQaBG+kT9as+5js5OdkICwurwypRl27077GiosLw9vY21qxZYxgG3+MNXV3Pt2HwHd7Q1cV3bq9evYy5c+cahuHav3Eu9XSh8vJyffLJJxo8eLBjXZMmTTR48GDl5ORUuU9OTo5Te0kaOnSoo/3+/ft1/PhxpzYtW7ZUv379rtonbp76mPPLtmzZorZt26p79+6aOnWqTp06VfcDQI3UZr5d0SfqRn3OzRdffKH27durS5cuevTRR3Xo0KEbLRd1oC7m/MKFC7p48aJ8fHwk8T3ekNXHfF/Gd3jDdKNzbhiGNm3apH379un++++X5Nq/cYKfC3399de6dOmSbr/9dqf1t99+u44fP17lPsePH79m+8v/W5M+cfPUx5xLUmRkpF5//XVt2rRJv/nNb/Thhx8qKipKly5dqvtBoNpqM9+u6BN1o77mpl+/fnrttde0YcMGvfTSS9q/f7/uu+8+nT179kZLxg2qizmfNWuW2rdv7/iXQL7HG676mG+J7/CGrLZzfubMGXl5ecnNzU3Dhw/X8uXL9eCDD0py7d94s3rtHcBN8cgjjzheh4aGqmfPnrrjjju0ZcsWDRo0yIWVAbhRUVFRjtc9e/ZUv379FBAQoDfffFOTJk1yYWW4UYsWLdIbb7yhLVu2yMPDw9XloJ5dbb75Djcfb29v7dy5U+fOndOmTZs0Y8YMdenSRRERES6tizN+LtSmTRs1bdpUX331ldP6r776Su3atatyn3bt2l2z/eX/rUmfuHnqY86r0qVLF7Vp00aFhYU3XjRqrTbz7Yo+UTdu1ty0atVK3bp14++7AbiROV+yZIkWLVqk999/Xz179nSs53u84aqP+a4K3+ENR23nvEmTJuratat+9KMf6emnn9bPfvYzLVy4UJJr/8YJfi7k5uam3r17a9OmTY51lZWV2rRpk/r371/lPv3793dqL0kbN250tA8MDFS7du2c2pSWlio3N/eqfeLmqY85r8rhw4d16tQp+fn51U3hqJXazLcr+kTduFlzc+7cORUVFfH33QDUds4XL16s5557Ths2bFCfPn2ctvE93nDVx3xXhe/whqOu/rleWVmpsrIySS7+G6/XR8fgut544w3D3d3deO2114yCggLjiSeeMFq1amUcP37cMAzDGD9+vJGYmOhon52dbTRr1sxYsmSJsWfPHiM5ObnKn3No1aqV8fe//93YtWuX8dBDD/EY6Aakruf87NmzxsyZM42cnBxj//79xj//+U/jrrvuMoKCgoxvv/3WJWPE/6npfJeVlRl5eXlGXl6e4efnZ8ycOdPIy8szvvjii2r3Cdepj/l++umnjS1bthj79+83srOzjcGDBxtt2rQxTpw4cdPHhyvVdM4XLVpkuLm5GevWrXN6fP/Zs2ed2vA93jDV9XzzHd7w1XTOX3jhBeP99983ioqKjIKCAmPJkiVGs2bNjIyMDEcbV/2NE/wagOXLlxudOnUy3NzcjL59+xrbtm1zbBswYIAxYcIEp/Zvvvmm0a1bN8PNzc0ICQkx/vGPfzhtr6ysNObNm2fcfvvthru7uzFo0CBj3759N2MoqKa6nPMLFy4YQ4YMMW677TajefPmRkBAgBETE0MIaEBqMt/79+83JF2xDBgwoNp9wrXqer5//vOfG35+foabm5vRoUMH4+c//7lRWFh4E0eE66nJnAcEBFQ558nJyY42fI83bHU533yH3xpqMudz5swxunbtanh4eBitW7c2+vfvb7zxxhtO/bnqb9xiGIZRv+cUAQAAAACuxD1+AAAAAGByBD8AAAAAMDmCHwAAAACYHMEPAAAAAEyO4AcAAAAAJkfwAwAAAACTI/gBAAAAgMkR/AAAAADA5Ah+AAAAAGByBD8AgGlMnDhRP/3pT11dxlUdOHBAFotFO3fudHUp1XLy5ElNnTpVnTp1kru7u9q1a6ehQ4cqOzvb1aUBAGqomasLAACgMSgvL3d1CTU2atQolZeXa82aNerSpYu++uorbdq0SadOnaq3zywvL5ebm1u99Q8AjRVn/AAAphUREaFp06YpPj5erVu31u23366MjAydP39ejz/+uLy9vdW1a1etX7/esc+WLVtksVj0j3/8Qz179pSHh4fuvvtu7d6926nvt956SyEhIXJ3d1fnzp21dOlSp+2dO3fWc889p8cee0w2m01PPPGEAgMDJUm9evWSxWJRRESEJOnf//63HnzwQbVp00YtW7bUgAED9J///MepP4vFolWrVunhhx+Wp6engoKC9M477zi1+eyzz/STn/xENptN3t7euu+++1RUVOTYvmrVKtntdnl4eCg4OFjp6elXPXbffPONPvroI/3mN7/RwIEDFRAQoL59+2r27NkaOXKkU7tf/epXuv322+Xh4aE777xT77333g0dJ0n617/+pfvuu08tWrSQv7+/pk+frvPnz1+1XgDAtRH8AACmtmbNGrVp00bbt2/XtGnTNHXqVI0ePVr33HOP/vOf/2jIkCEaP368Lly44LRfQkKCli5dqn//+9+67bbbNGLECF28eFGS9Mknn2jMmDF65JFHlJ+fr/nz52vevHl67bXXnPpYsmSJwsLClJeXp3nz5mn79u2SpH/+8586duyYMjMzJUlnz57VhAkT9K9//Uvbtm1TUFCQhg0bprNnzzr1l5KSojFjxmjXrl0aNmyYHn30UZ0+fVqSdOTIEd1///1yd3fXBx98oE8++US//OUvVVFRIUlau3atkpKS9Pzzz2vPnj164YUXNG/ePK1Zs6bK4+bl5SUvLy+9/fbbKisrq7JNZWWloqKilJ2drT/+8Y8qKCjQokWL1LRp0xs6TkVFRYqMjNSoUaO0a9cu/eUvf9G//vUvxcXFXWuqAQDXYgAAYBITJkwwHnroIcf7AQMGGPfee6/jfUVFhWG1Wo3x48c71h07dsyQZOTk5BiGYRibN282JBlvvPGGo82pU6eMFi1aGH/5y18MwzCMcePGGQ8++KDTZyckJBg9evRwvA8ICDB++tOfOrXZv3+/IcnIy8u75jguXbpkeHt7G++++65jnSRj7ty5jvfnzp0zJBnr1683DMMwZs+ebQQGBhrl5eVV9nnHHXcYf/rTn5zWPffcc0b//v2vWse6deuM1q1bGx4eHsY999xjzJ492/j0008d2//3f//XaNKkibFv374q96/tcZo0aZLxxBNPOK376KOPjCZNmhj//e9/r1ovAODqOOMHADC1nj17Ol43bdpUvr6+Cg0Nday7/fbbJUknTpxw2q9///6O1z4+Purevbv27NkjSdqzZ4/Cw8Od2oeHh+uLL77QpUuXHOv69OlTrRq/+uorxcTEKCgoSC1btpTNZtO5c+d06NChq47FarXKZrM56t65c6fuu+8+NW/e/Ir+z58/r6KiIk2aNMlxJs/Ly0sLFixwuhT0h0aNGqWjR4/qnXfeUWRkpLZs2aK77rrLccZu586d6tixo7p161bl/rU9Tp9++qlee+01p1qHDh2qyspK7d+//6r1AgCujoe7AABM7YdByGKxOK2zWCySvrtssa5ZrdZqtZswYYJOnTql3/72twoICJC7u7v69+9/xQNhqhrL5bpbtGhx1f7PnTsnScrIyFC/fv2ctl2+LPNqPDw89OCDD+rBBx/UvHnzNHnyZCUnJ2vixInX/Mya+OFxOnfunH71q19p+vTpV7Tt1KlTnXwmADQ2BD8AAKqwbds2R8goKSnR559/LrvdLkmy2+1X/KRBdna2unXrds0gdflpld8/23V53/T0dA0bNkyS9OWXX+rrr7+uUb09e/bUmjVrdPHixSsC4u2336727duruLhYjz76aI36/aEePXro7bffdnzm4cOH9fnnn1d51q+2x+muu+5SQUGBunbtekO1AgD+D5d6AgBQhWeffVabNm3S7t27NXHiRLVp08bxG4FPP/20Nm3apOeee06ff/651qxZo7S0NM2cOfOafbZt21YtWrTQhg0b9NVXX+nMmTOSpKCgIP3hD3/Qnj17lJubq0cffbTGZ9Pi4uJUWlqqRx55RDt27NAXX3yhP/zhD9q3b5+k7x4Ms3DhQv3ud7/T559/rvz8fK1evVr/8z//U2V/p06d0gMPPKA//vGP2rVrl/bv36+//vWvWrx4sR566CFJ0oABA3T//fdr1KhR2rhxo/bv36/169drw4YNN3ScZs2apY8//lhxcXHauXOnvvjiC/3973/n4S4AcAMIfgAAVGHRokX69a9/rd69e+v48eN69913HWfs7rrrLr355pt64403dOeddyopKUnPPvusJk6ceM0+mzVrpt/97ndauXKl2rdv7whQr776qkpKSnTXXXdp/Pjxmj59utq2bVujen19ffXBBx/o3LlzGjBggHr37q2MjAzH2b/Jkydr1apVWr16tUJDQzVgwAC99tprjp+Y+CEvLy/169dPy5Yt0/33368777xT8+bNU0xMjNLS0hzt3nrrLf34xz/W2LFj1aNHD/2///f/HGc0a3ucevbsqQ8//FCff/657rvvPvXq1UtJSUlq3759jY4JAOD/WAzDMFxdBAAADcWWLVs0cOBAlZSUqFWrVq4uBwCAOsEZPwAAAAAwOYIfAAAAAJgcl3oCAAAAgMlxxg8AAAAATI7gBwAAAAAmR/ADAAAAAJMj+AEAAACAyRH8AAAAAMDkCH4AAAAAYHIEPwAAAAAwOYIfAAAAAJjc/wfbTDT0qZGRkwAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "-r2u8l2yo3uD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "1aZVDApnnBFP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "_RBNIHX5mcMP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "iAnzDDBFmcPl"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}