{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "# Cell 2 - imports and constants\n",
        "import os\n",
        "import random\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "from sklearn.model_selection import train_test_split, StratifiedKFold, cross_val_score\n",
        "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
        "from sklearn.compose import ColumnTransformer\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.metrics import (accuracy_score, precision_score, recall_score, f1_score,\n",
        "                             roc_auc_score, confusion_matrix, classification_report)\n",
        "\n",
        "# reproducibility\n",
        "RANDOM_STATE = 42\n",
        "np.random.seed(RANDOM_STATE)\n",
        "random.seed(RANDOM_STATE)\n",
        "\n",
        "# file path - update if using Google Drive mount\n",
        "DATA_PATH = \"/content/cardio_train_extended.csv\"  # or \"/mnt/data/cardio_train_extended.csv\""
      ],
      "metadata": {
        "id": "IecJr2zksaf7"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "f4aaaf22",
        "outputId": "e12728be-716f-482c-d272-98068cf31f85"
      },
      "source": [
        "import os\n",
        "\n",
        "image_files_to_check = [\n",
        "    \"roc_overlay_weighted.png\",\n",
        "    \"confusion_matrix_weighted.png\",\n",
        "    \"shap_summary_cat.png\",\n",
        "    \"hybrid_zone_counts.png\",\n",
        "    \"hybrid_zone_positive_rate.png\",\n",
        "    \"streamlit_ui.png\" # This one is a screenshot, likely not generated\n",
        "]\n",
        "\n",
        "results_dir = \"/content/model_results\"\n",
        "all_present = True\n",
        "present_files = []\n",
        "missing_files = []\n",
        "\n",
        "for filename in image_files_to_check:\n",
        "    filepath = os.path.join(results_dir, filename)\n",
        "    if os.path.exists(filepath):\n",
        "        present_files.append(filename)\n",
        "    else:\n",
        "        missing_files.append(filename)\n",
        "        all_present = False\n",
        "\n",
        "if all_present:\n",
        "    print(\"Yes, all the listed images are present in the results directory.\")\n",
        "else:\n",
        "    print(\"Some images are present, but some are missing:\")\n",
        "    if present_files:\n",
        "        print(\"Present:\")\n",
        "        for f in present_files:\n",
        "            print(f\"- {f}\")\n",
        "    if missing_files:\n",
        "        print(\"Missing:\")\n",
        "        for f in missing_files:\n",
        "            print(f\"- {f}\")\n",
        "\n",
        "# Check for the specific CatBoost feature importance images\n",
        "catboost_importance_named_present = os.path.exists(os.path.join(results_dir, \"catboost_feature_importance_top15_named.png\"))\n",
        "catboost_importance_present = os.path.exists(os.path.join(results_dir, \"catboost_feature_importance_top15.png\"))\n",
        "\n",
        "if catboost_importance_named_present or catboost_importance_present:\n",
        "    print(\"\\nAlso found CatBoost feature importance plot(s).\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Some images are present, but some are missing:\n",
            "Missing:\n",
            "- roc_overlay_weighted.png\n",
            "- confusion_matrix_weighted.png\n",
            "- shap_summary_cat.png\n",
            "- hybrid_zone_counts.png\n",
            "- hybrid_zone_positive_rate.png\n",
            "- streamlit_ui.png\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell 3 - load dataset\n",
        "df = pd.read_csv(DATA_PATH)\n",
        "print(\"Shape:\", df.shape)\n",
        "display(df.head())\n",
        "print(\"\\nColumn types:\")\n",
        "print(df.dtypes)\n",
        "print(\"\\nMissing values per column:\")\n",
        "print(df.isna().sum())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "-xQ5Fa9mwu99",
        "outputId": "d1e51b32-480e-49cd-dfc0-f223abf7d4bc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Shape: (70000, 32)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "   id    age  gender  height  weight  ap_hi  ap_lo  cholesterol  gluc  smoke  \\\n",
              "0   0  18393       2     168    62.0    110     80            1     1      0   \n",
              "1   1  20228       1     156    85.0    140     90            3     1      0   \n",
              "2   2  18857       1     165    64.0    130     70            3     1      0   \n",
              "3   3  17623       2     169    82.0    150    100            1     1      0   \n",
              "4   4  17474       1     156    56.0    100     60            1     1      0   \n",
              "\n",
              "   ...                                     Reason  Pulse_Pressure_Ratio  \\\n",
              "0  ...                         Healthy indicators              0.272727   \n",
              "1  ...  High BMI (>30), High BP, High cholesterol              0.357143   \n",
              "2  ...                 High cholesterol, Inactive              0.461538   \n",
              "3  ...                                    High BP              0.333333   \n",
              "4  ...                                   Inactive              0.400000   \n",
              "\n",
              "          MAP  BMI_Category  Smoker_Alcoholic  BP_Category  Risk_Age  \\\n",
              "0   90.000000        Normal                 0      Stage 1        50   \n",
              "1  106.666667         Obese                 0      Stage 2        61   \n",
              "2   90.000000        Normal                 0      Stage 1        51   \n",
              "3  116.666667    Overweight                 0      Stage 2        51   \n",
              "4   73.333333        Normal                 0       Normal        47   \n",
              "\n",
              "  Risk_Level  Protein_Level  Ejection_Fraction  \n",
              "0        Low           7.23               56.8  \n",
              "1       High           6.53               45.1  \n",
              "2   Moderate           6.92               55.6  \n",
              "3   Moderate           7.36               43.9  \n",
              "4        Low           7.23               62.0  \n",
              "\n",
              "[5 rows x 32 columns]"
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              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>age</th>\n",
              "      <th>gender</th>\n",
              "      <th>height</th>\n",
              "      <th>weight</th>\n",
              "      <th>ap_hi</th>\n",
              "      <th>ap_lo</th>\n",
              "      <th>cholesterol</th>\n",
              "      <th>gluc</th>\n",
              "      <th>smoke</th>\n",
              "      <th>...</th>\n",
              "      <th>Reason</th>\n",
              "      <th>Pulse_Pressure_Ratio</th>\n",
              "      <th>MAP</th>\n",
              "      <th>BMI_Category</th>\n",
              "      <th>Smoker_Alcoholic</th>\n",
              "      <th>BP_Category</th>\n",
              "      <th>Risk_Age</th>\n",
              "      <th>Risk_Level</th>\n",
              "      <th>Protein_Level</th>\n",
              "      <th>Ejection_Fraction</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>18393</td>\n",
              "      <td>2</td>\n",
              "      <td>168</td>\n",
              "      <td>62.0</td>\n",
              "      <td>110</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>Healthy indicators</td>\n",
              "      <td>0.272727</td>\n",
              "      <td>90.000000</td>\n",
              "      <td>Normal</td>\n",
              "      <td>0</td>\n",
              "      <td>Stage 1</td>\n",
              "      <td>50</td>\n",
              "      <td>Low</td>\n",
              "      <td>7.23</td>\n",
              "      <td>56.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>20228</td>\n",
              "      <td>1</td>\n",
              "      <td>156</td>\n",
              "      <td>85.0</td>\n",
              "      <td>140</td>\n",
              "      <td>90</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>High BMI (&gt;30), High BP, High cholesterol</td>\n",
              "      <td>0.357143</td>\n",
              "      <td>106.666667</td>\n",
              "      <td>Obese</td>\n",
              "      <td>0</td>\n",
              "      <td>Stage 2</td>\n",
              "      <td>61</td>\n",
              "      <td>High</td>\n",
              "      <td>6.53</td>\n",
              "      <td>45.1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>18857</td>\n",
              "      <td>1</td>\n",
              "      <td>165</td>\n",
              "      <td>64.0</td>\n",
              "      <td>130</td>\n",
              "      <td>70</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>High cholesterol, Inactive</td>\n",
              "      <td>0.461538</td>\n",
              "      <td>90.000000</td>\n",
              "      <td>Normal</td>\n",
              "      <td>0</td>\n",
              "      <td>Stage 1</td>\n",
              "      <td>51</td>\n",
              "      <td>Moderate</td>\n",
              "      <td>6.92</td>\n",
              "      <td>55.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>17623</td>\n",
              "      <td>2</td>\n",
              "      <td>169</td>\n",
              "      <td>82.0</td>\n",
              "      <td>150</td>\n",
              "      <td>100</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>High BP</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>116.666667</td>\n",
              "      <td>Overweight</td>\n",
              "      <td>0</td>\n",
              "      <td>Stage 2</td>\n",
              "      <td>51</td>\n",
              "      <td>Moderate</td>\n",
              "      <td>7.36</td>\n",
              "      <td>43.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>17474</td>\n",
              "      <td>1</td>\n",
              "      <td>156</td>\n",
              "      <td>56.0</td>\n",
              "      <td>100</td>\n",
              "      <td>60</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>Inactive</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>73.333333</td>\n",
              "      <td>Normal</td>\n",
              "      <td>0</td>\n",
              "      <td>Normal</td>\n",
              "      <td>47</td>\n",
              "      <td>Low</td>\n",
              "      <td>7.23</td>\n",
              "      <td>62.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 32 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-cf1c67ba-b509-4ea1-9bfe-8e869d263fb9')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
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              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
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              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-cf1c67ba-b509-4ea1-9bfe-8e869d263fb9 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-cf1c67ba-b509-4ea1-9bfe-8e869d263fb9');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "  .colab-df-quickchart {\n",
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              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "  }\n",
              "</style>\n",
              "\n",
              "      <script>\n",
              "        async function quickchart(key) {\n",
              "          const quickchartButtonEl =\n",
              "            document.querySelector('#' + key + ' button');\n",
              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "          try {\n",
              "            const charts = await google.colab.kernel.invokeFunction(\n",
              "                'suggestCharts', [key], {});\n",
              "          } catch (error) {\n",
              "            console.error('Error during call to suggestCharts:', error);\n",
              "          }\n",
              "          quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "        }\n",
              "        (() => {\n",
              "          let quickchartButtonEl =\n",
              "            document.querySelector('#df-7d4fe558-ee4c-46c3-90d4-7bfd0b0a34dd button');\n",
              "          quickchartButtonEl.style.display =\n",
              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "        })();\n",
              "      </script>\n",
              "    </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Column types:\n",
            "id                        int64\n",
            "age                       int64\n",
            "gender                    int64\n",
            "height                    int64\n",
            "weight                  float64\n",
            "ap_hi                     int64\n",
            "ap_lo                     int64\n",
            "cholesterol               int64\n",
            "gluc                      int64\n",
            "smoke                     int64\n",
            "alco                      int64\n",
            "active                    int64\n",
            "cardio                    int64\n",
            "BMI                     float64\n",
            "BP_diff                   int64\n",
            "Systolic_Pressure         int64\n",
            "age_years                 int64\n",
            "Age_Group                object\n",
            "Lifestyle_Score           int64\n",
            "Obesity_Flag              int64\n",
            "Hypertension_Flag         int64\n",
            "Health_Risk_Score         int64\n",
            "Reason                   object\n",
            "Pulse_Pressure_Ratio    float64\n",
            "MAP                     float64\n",
            "BMI_Category             object\n",
            "Smoker_Alcoholic          int64\n",
            "BP_Category              object\n",
            "Risk_Age                  int64\n",
            "Risk_Level               object\n",
            "Protein_Level           float64\n",
            "Ejection_Fraction       float64\n",
            "dtype: object\n",
            "\n",
            "Missing values per column:\n",
            "id                      0\n",
            "age                     0\n",
            "gender                  0\n",
            "height                  0\n",
            "weight                  0\n",
            "ap_hi                   0\n",
            "ap_lo                   0\n",
            "cholesterol             0\n",
            "gluc                    0\n",
            "smoke                   0\n",
            "alco                    0\n",
            "active                  0\n",
            "cardio                  0\n",
            "BMI                     0\n",
            "BP_diff                 0\n",
            "Systolic_Pressure       0\n",
            "age_years               0\n",
            "Age_Group               0\n",
            "Lifestyle_Score         0\n",
            "Obesity_Flag            0\n",
            "Hypertension_Flag       0\n",
            "Health_Risk_Score       0\n",
            "Reason                  0\n",
            "Pulse_Pressure_Ratio    0\n",
            "MAP                     0\n",
            "BMI_Category            0\n",
            "Smoker_Alcoholic        0\n",
            "BP_Category             0\n",
            "Risk_Age                0\n",
            "Risk_Level              0\n",
            "Protein_Level           0\n",
            "Ejection_Fraction       0\n",
            "dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"Shape:\", df.shape)\n",
        "print(\"Duplicate rows:\", df.duplicated().sum())\n",
        "print(\"\\nTarget distribution:\\n\", df['cardio'].value_counts(normalize=True))\n",
        "df.describe(include='all').T.head(20)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 842
        },
        "id": "jWLj_1ptw3SU",
        "outputId": "c7d68f5c-606a-42ad-bf6d-94552b133297"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Shape: (70000, 32)\n",
            "Duplicate rows: 0\n",
            "\n",
            "Target distribution:\n",
            " cardio\n",
            "0    0.5003\n",
            "1    0.4997\n",
            "Name: proportion, dtype: float64\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                     count unique    top   freq          mean           std  \\\n",
              "id                 70000.0    NaN    NaN    NaN    49972.4199  28851.302323   \n",
              "age                70000.0    NaN    NaN    NaN  19468.865814   2467.251667   \n",
              "gender             70000.0    NaN    NaN    NaN      1.349571      0.476838   \n",
              "height             70000.0    NaN    NaN    NaN    164.359229      8.210126   \n",
              "weight             70000.0    NaN    NaN    NaN      74.20569     14.395757   \n",
              "ap_hi              70000.0    NaN    NaN    NaN    128.817286    154.011419   \n",
              "ap_lo              70000.0    NaN    NaN    NaN     96.630414     188.47253   \n",
              "cholesterol        70000.0    NaN    NaN    NaN      1.366871       0.68025   \n",
              "gluc               70000.0    NaN    NaN    NaN      1.226457       0.57227   \n",
              "smoke              70000.0    NaN    NaN    NaN      0.088129      0.283484   \n",
              "alco               70000.0    NaN    NaN    NaN      0.053771      0.225568   \n",
              "active             70000.0    NaN    NaN    NaN      0.803729      0.397179   \n",
              "cardio             70000.0    NaN    NaN    NaN        0.4997      0.500003   \n",
              "BMI                70000.0    NaN    NaN    NaN     27.556513      6.091511   \n",
              "BP_diff            70000.0    NaN    NaN    NaN     32.186871    241.469638   \n",
              "Systolic_Pressure  70000.0    NaN    NaN    NaN    128.817286    154.011419   \n",
              "age_years          70000.0    NaN    NaN    NaN     52.840671      6.766774   \n",
              "Age_Group            70000      5  50-59  35541           NaN           NaN   \n",
              "Lifestyle_Score    70000.0    NaN    NaN    NaN      0.338171       0.56754   \n",
              "Obesity_Flag       70000.0    NaN    NaN    NaN        0.2639      0.440749   \n",
              "\n",
              "                        min        25%        50%        75%         max  \n",
              "id                      0.0   25006.75    50001.5   74889.25     99999.0  \n",
              "age                 10798.0    17664.0    19703.0    21327.0     23713.0  \n",
              "gender                  1.0        1.0        1.0        2.0         2.0  \n",
              "height                 55.0      159.0      165.0      170.0       250.0  \n",
              "weight                 10.0       65.0       72.0       82.0       200.0  \n",
              "ap_hi                -150.0      120.0      120.0      140.0     16020.0  \n",
              "ap_lo                 -70.0       80.0       80.0       90.0     11000.0  \n",
              "cholesterol             1.0        1.0        1.0        2.0         3.0  \n",
              "gluc                    1.0        1.0        1.0        1.0         3.0  \n",
              "smoke                   0.0        0.0        0.0        0.0         1.0  \n",
              "alco                    0.0        0.0        0.0        0.0         1.0  \n",
              "active                  0.0        1.0        1.0        1.0         1.0  \n",
              "cardio                  0.0        0.0        0.0        1.0         1.0  \n",
              "BMI                3.471784  23.875115  26.374068  30.222222  298.666667  \n",
              "BP_diff            -10800.0       40.0       40.0       50.0     15940.0  \n",
              "Systolic_Pressure    -150.0      120.0      120.0      140.0     16020.0  \n",
              "age_years              29.0       48.0       53.0       58.0        64.0  \n",
              "Age_Group               NaN        NaN        NaN        NaN         NaN  \n",
              "Lifestyle_Score         0.0        0.0        0.0        1.0         3.0  \n",
              "Obesity_Flag            0.0        0.0        0.0        1.0         1.0  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-1111f913-21e7-4715-ad81-49de27a92b0e\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "      <th>unique</th>\n",
              "      <th>top</th>\n",
              "      <th>freq</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>min</th>\n",
              "      <th>25%</th>\n",
              "      <th>50%</th>\n",
              "      <th>75%</th>\n",
              "      <th>max</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>id</th>\n",
              "      <td>70000.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>49972.4199</td>\n",
              "      <td>28851.302323</td>\n",
              "      <td>0.0</td>\n",
              "      <td>25006.75</td>\n",
              "      <td>50001.5</td>\n",
              "      <td>74889.25</td>\n",
              "      <td>99999.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>age</th>\n",
              "      <td>70000.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>19468.865814</td>\n",
              "      <td>2467.251667</td>\n",
              "      <td>10798.0</td>\n",
              "      <td>17664.0</td>\n",
              "      <td>19703.0</td>\n",
              "      <td>21327.0</td>\n",
              "      <td>23713.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>gender</th>\n",
              "      <td>70000.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.349571</td>\n",
              "      <td>0.476838</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>height</th>\n",
              "      <td>70000.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>164.359229</td>\n",
              "      <td>8.210126</td>\n",
              "      <td>55.0</td>\n",
              "      <td>159.0</td>\n",
              "      <td>165.0</td>\n",
              "      <td>170.0</td>\n",
              "      <td>250.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>weight</th>\n",
              "      <td>70000.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>74.20569</td>\n",
              "      <td>14.395757</td>\n",
              "      <td>10.0</td>\n",
              "      <td>65.0</td>\n",
              "      <td>72.0</td>\n",
              "      <td>82.0</td>\n",
              "      <td>200.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ap_hi</th>\n",
              "      <td>70000.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>128.817286</td>\n",
              "      <td>154.011419</td>\n",
              "      <td>-150.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>140.0</td>\n",
              "      <td>16020.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ap_lo</th>\n",
              "      <td>70000.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>96.630414</td>\n",
              "      <td>188.47253</td>\n",
              "      <td>-70.0</td>\n",
              "      <td>80.0</td>\n",
              "      <td>80.0</td>\n",
              "      <td>90.0</td>\n",
              "      <td>11000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>cholesterol</th>\n",
              "      <td>70000.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.366871</td>\n",
              "      <td>0.68025</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>gluc</th>\n",
              "      <td>70000.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.226457</td>\n",
              "      <td>0.57227</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>smoke</th>\n",
              "      <td>70000.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.088129</td>\n",
              "      <td>0.283484</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alco</th>\n",
              "      <td>70000.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.053771</td>\n",
              "      <td>0.225568</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>active</th>\n",
              "      <td>70000.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.803729</td>\n",
              "      <td>0.397179</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>cardio</th>\n",
              "      <td>70000.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.4997</td>\n",
              "      <td>0.500003</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BMI</th>\n",
              "      <td>70000.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>27.556513</td>\n",
              "      <td>6.091511</td>\n",
              "      <td>3.471784</td>\n",
              "      <td>23.875115</td>\n",
              "      <td>26.374068</td>\n",
              "      <td>30.222222</td>\n",
              "      <td>298.666667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BP_diff</th>\n",
              "      <td>70000.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>32.186871</td>\n",
              "      <td>241.469638</td>\n",
              "      <td>-10800.0</td>\n",
              "      <td>40.0</td>\n",
              "      <td>40.0</td>\n",
              "      <td>50.0</td>\n",
              "      <td>15940.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Systolic_Pressure</th>\n",
              "      <td>70000.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>128.817286</td>\n",
              "      <td>154.011419</td>\n",
              "      <td>-150.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>140.0</td>\n",
              "      <td>16020.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>age_years</th>\n",
              "      <td>70000.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>52.840671</td>\n",
              "      <td>6.766774</td>\n",
              "      <td>29.0</td>\n",
              "      <td>48.0</td>\n",
              "      <td>53.0</td>\n",
              "      <td>58.0</td>\n",
              "      <td>64.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Age_Group</th>\n",
              "      <td>70000</td>\n",
              "      <td>5</td>\n",
              "      <td>50-59</td>\n",
              "      <td>35541</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lifestyle_Score</th>\n",
              "      <td>70000.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.338171</td>\n",
              "      <td>0.56754</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Obesity_Flag</th>\n",
              "      <td>70000.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.2639</td>\n",
              "      <td>0.440749</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-1111f913-21e7-4715-ad81-49de27a92b0e button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-1111f913-21e7-4715-ad81-49de27a92b0e');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "    <div id=\"df-7bc54eae-d605-4ee1-9333-86bf19084d2f\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7bc54eae-d605-4ee1-9333-86bf19084d2f')\"\n",
              "                title=\"Suggest charts\"\n",
              "                style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "      </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "      <script>\n",
              "        async function quickchart(key) {\n",
              "          const quickchartButtonEl =\n",
              "            document.querySelector('#' + key + ' button');\n",
              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "          try {\n",
              "            const charts = await google.colab.kernel.invokeFunction(\n",
              "                'suggestCharts', [key], {});\n",
              "          } catch (error) {\n",
              "            console.error('Error during call to suggestCharts:', error);\n",
              "          }\n",
              "          quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "        }\n",
              "        (() => {\n",
              "          let quickchartButtonEl =\n",
              "            document.querySelector('#df-7bc54eae-d605-4ee1-9333-86bf19084d2f button');\n",
              "          quickchartButtonEl.style.display =\n",
              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "        })();\n",
              "      </script>\n",
              "    </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 20,\n  \"fields\": [\n    {\n      \"column\": \"count\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 70000.0,\n        \"max\": 70000.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          70000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"unique\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 5,\n        \"max\": 5,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"top\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"50-59\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"freq\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"35541\",\n        \"max\": \"35541\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"35541\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mean\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 0.053771428571428574,\n        \"max\": 49972.4199,\n        \"num_unique_values\": 18,\n        \"samples\": [\n          49972.4199\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"std\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 0.22556770360401027,\n        \"max\": 28851.30232317303,\n        \"num_unique_values\": 18,\n        \"samples\": [\n          28851.30232317303\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"min\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -10800.0,\n        \"max\": 10798.0,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          -10800.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"25%\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 0.0,\n        \"max\": 25006.75,\n        \"num_unique_values\": 11,\n        \"samples\": [\n          120.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"50%\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 0.0,\n        \"max\": 50001.5,\n        \"num_unique_values\": 11,\n        \"samples\": [\n          120.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"75%\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 0.0,\n        \"max\": 74889.25,\n        \"num_unique_values\": 12,\n        \"samples\": [\n          50.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"max\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 1.0,\n        \"max\": 99999.0,\n        \"num_unique_values\": 12,\n        \"samples\": [\n          15940.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['ap_hi'] = df['ap_hi'].clip(lower=80, upper=250)\n",
        "df['ap_lo'] = df['ap_lo'].clip(lower=40, upper=150)\n",
        "df['BMI'] = df['BMI'].clip(lower=10, upper=60)\n",
        "\n",
        "\n",
        "df['BP_diff'] = df['ap_hi'] - df['ap_lo']\n",
        "\n",
        "\n",
        "df[['ap_hi', 'ap_lo', 'BP_diff', 'BMI']].describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "cjSQ6eqWxVEm",
        "outputId": "71cb5042-66dc-41df-cc7c-b494754cab5d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              ap_hi         ap_lo       BP_diff           BMI\n",
              "count  70000.000000  70000.000000  70000.000000  70000.000000\n",
              "mean     126.948729     82.277486     44.671243     27.508972\n",
              "std       17.481877     12.501876     13.729150      5.324786\n",
              "min       80.000000     40.000000    -70.000000     10.000000\n",
              "25%      120.000000     80.000000     40.000000     23.875115\n",
              "50%      120.000000     80.000000     40.000000     26.374068\n",
              "75%      140.000000     90.000000     50.000000     30.222222\n",
              "max      250.000000    150.000000    210.000000     60.000000"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-342faa7a-a262-49d7-81df-13339a3f3765\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ap_hi</th>\n",
              "      <th>ap_lo</th>\n",
              "      <th>BP_diff</th>\n",
              "      <th>BMI</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>70000.000000</td>\n",
              "      <td>70000.000000</td>\n",
              "      <td>70000.000000</td>\n",
              "      <td>70000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>126.948729</td>\n",
              "      <td>82.277486</td>\n",
              "      <td>44.671243</td>\n",
              "      <td>27.508972</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>17.481877</td>\n",
              "      <td>12.501876</td>\n",
              "      <td>13.729150</td>\n",
              "      <td>5.324786</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>80.000000</td>\n",
              "      <td>40.000000</td>\n",
              "      <td>-70.000000</td>\n",
              "      <td>10.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>120.000000</td>\n",
              "      <td>80.000000</td>\n",
              "      <td>40.000000</td>\n",
              "      <td>23.875115</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>120.000000</td>\n",
              "      <td>80.000000</td>\n",
              "      <td>40.000000</td>\n",
              "      <td>26.374068</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>140.000000</td>\n",
              "      <td>90.000000</td>\n",
              "      <td>50.000000</td>\n",
              "      <td>30.222222</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>250.000000</td>\n",
              "      <td>150.000000</td>\n",
              "      <td>210.000000</td>\n",
              "      <td>60.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-342faa7a-a262-49d7-81df-13339a3f3765')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-342faa7a-a262-49d7-81df-13339a3f3765 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-342faa7a-a262-49d7-81df-13339a3f3765');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "    <div id=\"df-37c73321-43f1-4ab2-af49-1cdfe58689e1\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-37c73321-43f1-4ab2-af49-1cdfe58689e1')\"\n",
              "                title=\"Suggest charts\"\n",
              "                style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "      </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "      <script>\n",
              "        async function quickchart(key) {\n",
              "          const quickchartButtonEl =\n",
              "            document.querySelector('#' + key + ' button');\n",
              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "          try {\n",
              "            const charts = await google.colab.kernel.invokeFunction(\n",
              "                'suggestCharts', [key], {});\n",
              "          } catch (error) {\n",
              "            console.error('Error during call to suggestCharts:', error);\n",
              "          }\n",
              "          quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "        }\n",
              "        (() => {\n",
              "          let quickchartButtonEl =\n",
              "            document.querySelector('#df-37c73321-43f1-4ab2-af49-1cdfe58689e1 button');\n",
              "          quickchartButtonEl.style.display =\n",
              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "        })();\n",
              "      </script>\n",
              "    </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df[['ap_hi', 'ap_lo', 'BP_diff', 'BMI']]\",\n  \"rows\": 8,\n  \"fields\": [\n    {\n      \"column\": \"ap_hi\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 24705.667162280784,\n        \"min\": 17.481877393003117,\n        \"max\": 70000.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          70000.0,\n          126.94872857142857,\n          140.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ap_lo\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 24721.75889038184,\n        \"min\": 12.501875524649735,\n        \"max\": 70000.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          70000.0,\n          82.27748571428572,\n          90.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"BP_diff\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 24732.270406658623,\n        \"min\": -70.0,\n        \"max\": 70000.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          70000.0,\n          44.67124285714286,\n          50.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"BMI\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 24739.484414439834,\n        \"min\": 5.3247857427769,\n        \"max\": 70000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          27.50897188152245,\n          26.37406812077498,\n          70000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "num_features = df.select_dtypes(include='number').columns\n",
        "corr = df[num_features].corr()\n",
        "\n",
        "plt.figure(figsize=(12,8))\n",
        "sns.heatmap(corr, cmap='coolwarm', center=0, annot=False)\n",
        "plt.title(\"Correlation Heatmap (Numeric Features)\")\n",
        "plt.show()\n",
        "\n",
        "\n",
        "corr_target = corr['cardio'].sort_values(ascending=False)\n",
        "display(corr_target)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "JV417vTAxyvK",
        "outputId": "96f6d728-0d82-4d61-a39b-a6287c474fe9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "cardio                  1.000000\n",
              "ap_hi                   0.419081\n",
              "Hypertension_Flag       0.416536\n",
              "Health_Risk_Score       0.364693\n",
              "Risk_Age                0.326179\n",
              "ap_lo                   0.307140\n",
              "BP_diff                 0.253949\n",
              "age                     0.238159\n",
              "age_years               0.237985\n",
              "cholesterol             0.221147\n",
              "BMI                     0.189252\n",
              "weight                  0.181660\n",
              "Obesity_Flag            0.156880\n",
              "gluc                    0.089307\n",
              "MAP                     0.080986\n",
              "Systolic_Pressure       0.054475\n",
              "Lifestyle_Score         0.014303\n",
              "gender                  0.008109\n",
              "id                      0.003799\n",
              "Pulse_Pressure_Ratio   -0.003572\n",
              "alco                   -0.007330\n",
              "height                 -0.010821\n",
              "smoke                  -0.015486\n",
              "Smoker_Alcoholic       -0.018228\n",
              "active                 -0.035653\n",
              "Protein_Level          -0.485889\n",
              "Ejection_Fraction      -0.493570\n",
              "Name: cardio, dtype: float64"
            ],
            "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",
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              "\n",
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              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>cardio</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>cardio</th>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ap_hi</th>\n",
              "      <td>0.419081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Hypertension_Flag</th>\n",
              "      <td>0.416536</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Health_Risk_Score</th>\n",
              "      <td>0.364693</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Risk_Age</th>\n",
              "      <td>0.326179</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ap_lo</th>\n",
              "      <td>0.307140</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BP_diff</th>\n",
              "      <td>0.253949</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>age</th>\n",
              "      <td>0.238159</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>age_years</th>\n",
              "      <td>0.237985</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>cholesterol</th>\n",
              "      <td>0.221147</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BMI</th>\n",
              "      <td>0.189252</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>weight</th>\n",
              "      <td>0.181660</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Obesity_Flag</th>\n",
              "      <td>0.156880</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>gluc</th>\n",
              "      <td>0.089307</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MAP</th>\n",
              "      <td>0.080986</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Systolic_Pressure</th>\n",
              "      <td>0.054475</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lifestyle_Score</th>\n",
              "      <td>0.014303</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>gender</th>\n",
              "      <td>0.008109</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>id</th>\n",
              "      <td>0.003799</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Pulse_Pressure_Ratio</th>\n",
              "      <td>-0.003572</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alco</th>\n",
              "      <td>-0.007330</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>height</th>\n",
              "      <td>-0.010821</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>smoke</th>\n",
              "      <td>-0.015486</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Smoker_Alcoholic</th>\n",
              "      <td>-0.018228</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>active</th>\n",
              "      <td>-0.035653</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Protein_Level</th>\n",
              "      <td>-0.485889</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ejection_Fraction</th>\n",
              "      <td>-0.493570</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "features_to_plot = ['age_years', 'BMI', 'ap_hi', 'cholesterol', 'gluc', 'Protein_Level', 'Ejection_Fraction']\n",
        "\n",
        "plt.figure(figsize=(15,10))\n",
        "for i, feat in enumerate(features_to_plot, 1):\n",
        "    plt.subplot(3,3,i)\n",
        "    sns.kdeplot(data=df, x=feat, hue='cardio', common_norm=False, fill=True, alpha=0.5)\n",
        "    plt.title(f\"{feat} vs Cardio Risk\")\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 648
        },
        "id": "JpiiyfzEx1hT",
        "outputId": "cee308b5-9554-48ad-c25a-0778a2a2f0a6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x1000 with 7 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "numeric_cols = df.select_dtypes(include=['number']).columns\n",
        "\n",
        "df[numeric_cols].hist(figsize=(20,15), bins=30, color='steelblue', edgecolor='black')\n",
        "plt.suptitle(\"Histogram Distribution of All Numeric Features\", fontsize=18)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 806
        },
        "id": "2P4r0Tbty0cC",
        "outputId": "7cc4cbbb-668c-4c93-b405-3cd19481daf0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x1500 with 30 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "plt.figure(figsize=(14,10))\n",
        "sns.heatmap(df[numeric_cols].corr(), cmap='RdBu_r', center=0, annot=False)\n",
        "plt.title(\"Full Correlation Heatmap (Numeric Features)\", fontsize=16)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 799
        },
        "id": "2eEeKX2ay5Sy",
        "outputId": "a8dc5131-e3fe-4470-c2ea-05a81b47a6f1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x1000 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "corr_target = df[numeric_cols].corr()['cardio'].sort_values(ascending=False)[1:-1]\n",
        "plt.figure(figsize=(8,5))\n",
        "sns.barplot(x=corr_target.values, y=corr_target.index, palette='coolwarm')\n",
        "plt.title(\"Correlation of Features with Heart Risk (cardio)\")\n",
        "plt.xlabel(\"Correlation Coefficient\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 592
        },
        "id": "-G-HdIiRy-Ek",
        "outputId": "2d342389-21d2-45c7-a068-db97339ad37b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipython-input-4276038296.py:4: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.barplot(x=corr_target.values, y=corr_target.index, palette='coolwarm')\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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8N/VWP/74Iw0aNLAYZunk5MTgwYM5efKkMRTtppvXmVsr0knu0lAxEckXbg4JuHTpUrbKnzp1Cisrqwwr7Hh6euLm5sapU6cs9t++mtWdjh09ehTAmMeRmcTExCyHjxw8eJAJEybw008/ZUgU7jS3ISs3r+XW4W03Va5cmfXr12eYlHzrAwb838NAQkJClsMv7tROpUqV2LZtW45jv1WDBg0ynZx/834/8cQTmZ53a7wXLlwgODiYZcuWGQsE3HQv9zY7Mvv5MJvNVKhQIdPyN1eDK1u2LCNHjuT9999n6dKlNG3alKeeeornn38+y2FiNzVt2tQYErh161a8vLyoU6cONWvWZOvWrbRp04Zt27bRo0eP/3Rtt/+cwI2flYSEhGydX6FChUznXdz+s5KT36mrV68SEhJCaGgof/31lzE872aZ293pdzsn7O3t+f777wH4888/ee+994iPj890EY/bvffee/Tt2xcfHx/q1q1L+/bt6dOnD+XKlbMod+LECZ5//nm6d+/Ohx9+mKP4br0PN8XExNCtW7e7nrtw4UJmzJjB4cOHuX79urE/s3t3+75//vmHq1evZvrzXrFixUz/cHKrU6dO8dhjj2XYX7lyZeP4rasL3rzOuyWLUjApcRGRfMHFxQVvb+8cv3wsu/+53enh4/ZjN//yO23atAzjv2/Kaj7KxYsXad68OS4uLrz11luUL18ee3t7fv/9d8aNG3fHnpr7Kau/QGf28JPbbt6TxYsX4+npmeH4rcvO9ujRgx07djBmzBhq1aqFk5MT6enptG3bNlv3Nqufl1sXTrhdZj8fJpOJtWvXZnqfb/3ZmDFjBoGBgXz33Xds2LCB4cOHExISwq+//kqpUqWybLNJkyZcv36dnTt3snXrVpo2bQrcSGi2bt3K4cOH+eeff4z99+ph/Zzk5HfqlVdeITQ0lBEjRtCwYUNcXV0xmUw8++yzmX6Ps5NYZIe1tbVFEhYQEEClSpV48cUXWb169R3P7dGjB02bNuXbb79lw4YNTJs2jXfffZeVK1fSrl07o5yXlxdeXl78+OOP7NmzJ9ur7Lm7u2c7mbzdkiVLCAwMpHPnzowZM4bixYtjbW1NSEgIMTExGcrfr/t5r25e5825SfJoUeIiIvlGx44d+fzzz9m5cycNGza8Y9kyZcqQnp7O0aNHjb/cwY2JoBcvXswwiTUnbg6dcXFxyfY7Sm4KDw/n/PnzrFy50mLS9IkTJzKUzW7SdfNaoqOjMxw7fPgwxYoVuy9L9N7azu29H9HR0f/pnt7JzftdvHjxO97vhIQENm/eTHBwsMVL6m7+Nf9WWd3bmz1Pt7+Y8PYeurvFazabKVu2LP7+/nctX716dapXr86ECRPYsWMHjRs3Zs6cOUyZMiXLcxo0aICtrS1bt25l69atxipZzZo1Y+7cuWzevNn4fCd55a/WOfmd+uabb+jbty8zZsww9v377785eonm/bhuLy8vXnvtNYKDg/n111+NIYl3Kj906FCGDh1KfHw8derU4e2337ZIXOzt7VmzZg1PPPEEbdu2ZcuWLVStWvWusVSqVIkVK1Zk2F++fPm7/rHnm2++oVy5cqxcudLivrz55pt3bRduLGrg4OCQ6e9ZZv8m3a5MmTJZ/tt18/itTpw4gZWVVbZ+t6Tg0RwXEck3xo4di6OjIwMHDuTvv//OcDwmJoYPPvgAgPbt2wNkePP8+++/D9yYl3Gv6tatS/ny5Zk+fTrJyckZjt9pZaqbf8G+9S/W165d45NPPslQ1tHRMVvDm7y8vKhVqxYLFy60eHj7448/2LBhg3Ev/qt69epRvHhx5syZY7Gk9Nq1a4mKivpP9/ROAgICcHFx4Z133rEYxnLTzfud2b2FjD8DgJHI3f6w6+LiQrFixYz5Izdl9v3JSteuXbG2tiY4ODhDLGaz2ViaOSkpKcMSt9WrV8fKyirDkt23s7e3p379+nz55ZfExsZa9LhcvXqV2bNnU758+UyXDb9VVvfhYcvJ75S1tXWG+/rhhx/esVfsdvfrul955RUKFy7M1KlTsyyTlpaW4fe4ePHieHt7Z/p9dnV1Zf369caSyZn1etyuYcOGJCQkZJh71K1bNyIjIzOsogj/93uS2e/Nrl27jLlSd2NtbU1AQACrVq0iNjbW2B8VFcX69evven779u357bffLNq7fPkyn3/+Ob6+vlSpUsWi/N69e6latepdh1NKwaQeFxHJN8qXL88XX3xBz549qVy5Mn369KFatWpcu3aNHTt28PXXXxvvB6hZsyZ9+/bl888/N4Zn/fbbbyxcuJDOnTvTsmXLe47DysqKefPm0a5dO6pWrUq/fv0oWbIkf/31Fz///DMuLi7GWPjbNWrUiCJFitC3b1+GDx+OyWRi8eLFmQ69qVu3LsuXL2fkyJHUr18fJycnOnXqlGm906ZNo127djRs2JABAwYYyyG7urpavE/ivyhUqBDvvvsu/fr1o3nz5vTq1ctYDtnX15fXXnvtvrRzOxcXFz799FNeeOEF6tSpw7PPPouHhwexsbH88MMPNG7cmI8++ggXFxeaNWvGe++9x/Xr1ylZsiQbNmzItDerbt26wI1lp5999lkKFSpEp06djMR46tSpDBw4kHr16vHLL79w5MiRbMdbvnx5pkyZQlBQECdPnqRz5844Oztz4sQJvv32WwYPHszo0aP56aefGDZsGN27d8ff35/U1FQWL16MtbV1tuYlNG3alKlTp+Lq6kr16tWBGw/EFStWJDo6OlvvzrnTfXiYcvI71bFjRxYvXoyrqytVqlRh586dbNq0KVvLM990v67b3d2dfv368cknnxAVFWXRu3vTpUuXKFWqFM888ww1a9bEycmJTZs2sXv3boteo1sVK1aMjRs30qRJE1q3bs22bdsoWbJklnF06NABGxsbNm3axODBg439Y8aM4ZtvvqF79+7079+funXrcuHCBVavXs2cOXOoWbMmHTt2ZOXKlXTp0oUOHTpw4sQJ5syZQ5UqVTJNIjMTHBzMunXraNq0KUOHDiU1NZUPP/yQqlWrsn///jueO378eL788kvatWvH8OHDKVq0KAsXLuTEiROsWLHCYnGC69evG+/lkUfUw1/ITETkvzly5Ih50KBBZl9fX7Otra3Z2dnZ3LhxY/OHH35osZzw9evXzcHBweayZcuaCxUqZPbx8TEHBQVZlDGbbyzP2aFDhwzt3FwOOavlavft22fu2rWr2d3d3WxnZ2cuU6aMuUePHubNmzcbZTJbDnn79u3mxx9/3Ozg4GD29vY2jx071rx+/XozYP7555+NcsnJyebnnnvO7ObmZgaMpZGzWrJ306ZN5saNG5sdHBzMLi4u5k6dOpkPHTpkUebmEr43l6G9U5xZWb58ubl27dpmOzs7c9GiRc29e/c2//nnn5nWl5PlkO9W9ueffzYHBASYXV1dzfb29uby5cubAwMDzXv27DHK/Pnnn+YuXbqY3dzczK6urubu3bubz5w5k2F5WrPZbJ48ebK5ZMmSZisrK4trv3LlinnAgAFmV1dXs7Ozs7lHjx7m+Pj4LJdDvv1e3rRixQpzkyZNzI6OjmZHR0dzpUqVzC+//LI5OjrabDabzcePHzf379/fXL58ebO9vb25aNGi5pYtW5o3bdp013tmNpvNP/zwgxkwt2vXzmL/wIEDzYB5/vz5Gc7JyX0AMl3C9/blbDNz82d02rRpmR7P6t5l53cqISHB3K9fP3OxYsXMTk5O5oCAAPPhw4czxHW3n6usrjszN5dDzkxMTIzZ2traou1b73NKSop5zJgx5po1a5qdnZ3Njo6O5po1a5o/+eQTi3puXQ75pmPHjpm9vLzMlStXzvLn7KannnrK3KpVqwz7z58/bx42bJi5ZMmSZltbW3OpUqXMffv2NZ87d85sNt9YFvmdd94xlylTxmxnZ2euXbu2ec2aNea+fftaLMd+t+/pli1bzHXr1jXb2tqay5UrZ54zZ47xfb5VZj8/MTEx5meeecbs5uZmtre3Nzdo0MC8Zs2aDG2sXbvWDJiPHj16x3shBZfJbM6DMzFFREREJNu2bt1KixYtOHz4cJYr2uV3nTt3xmQyZTr0TR4NSlxERERECoB27dpRqlQp5s6dm9uh3HdRUVFUr16diIgIi+WR5dGixEVERERERPI8rSomIiIiIiJ5nhIXERERERHJ85S4iIiIiIhInqfERURERERE8jy9gFIKtPT0dM6cOYOzszMmkym3wxERERGR25jNZi5duoS3t7fFS0dvp8RFCrQzZ87g4+OT22GIiIiIyF2cPn2aUqVKZXlciYsUaM7OzsCNXwQXF5dcjkZEJG8KHLElt0MQkTwkbFbzh9peUlISPj4+xnNbVpS4SIF2c3iYi4uLEhcRkSwUsnXM7RBEJA/JrWemuw3r1+R8yTPCw8MxmUxcvHgxyzKTJk2iVq1aDy0mEREREckblLhIvjJ69Gg2b96c22GIiIiIyEOmoWKSrzg5OeHk5JTbYYiIiIjIQ6YeF8mRdevW0aRJE9zc3HB3d6djx47ExMQAcPLkSUwmE8uWLaNRo0bY29tTrVo1tmzJ2aTPvXv3Uq9ePQoXLkyjRo2Ijo42jt1tqFhKSgpJSUkWm4iIiIjkf0pcJEcuX77MyJEj2bNnD5s3b8bKyoouXbqQnp5ulBkzZgyjRo1i3759NGzYkE6dOnH+/Plst/H6668zY8YM9uzZg42NDf3798/2uSEhIbi6uhqblkIWERERKRiUuEiOdOvWja5du+Ln50etWrVYsGABBw4c4NChQ0aZYcOG0a1bNypXrsynn36Kq6sr8+fPz3Ybb7/9Ns2bN6dKlSqMHz+eHTt28O+//2br3KCgIBITE43t9OnTOb5GEREREcl7lLhIjhw9epRevXpRrlw5XFxc8PX1BSA2NtYo07BhQ+NrGxsb6tWrR1RUVLbbqFGjhvG1l5cXAPHx8dk6187Ozlj6WEsgi4iIiBQcmpwvOdKpUyfKlCnD3Llz8fb2Jj09nWrVqnHt2rX71kahQoWMr2+u533rUDQRERERefSox0Wy7fz580RHRzNhwgRatWpF5cqVSUhIyFDu119/Nb5OTU1l7969VK5c+WGGKiIiIiIFjHpcJNuKFCmCu7s7n3/+OV5eXsTGxjJ+/PgM5T7++GMqVKhA5cqVmTlzJgkJCTmaYC8iIiIicjv1uEi2WVlZsWzZMvbu3Uu1atV47bXXmDZtWoZyU6dOZerUqdSsWZNt27axevVqihUrlgsRi4iIiEhBYTKbzebcDkIKhpMnT1K2bFn27dt3x3etPExJSUm4urqSmJioifoiIiIieVB2n9fU4yIiIiIiInmeEhd5aIYMGYKTk1Om25AhQ3I7PBERERHJwzRUTB6a+Ph4kpKSMj3m4uJC8eLF73ubGiomInJ3A8fvzu0QRCSPmDe1/kNvM7vPa1pVrADKi3NNTCYT3377LZ07d87tUEREREQkH8rXQ8UCAwMzfRAODw/HZDJx8eLFhx7T7UwmE6tWrXqobfr4+BAXF0e1atUeWpu+vr6YTCaLrVSpUg+tfREREREp2NTj8oBcu3YNW1vbXGnb2toaT0/Ph97uW2+9xaBBgyziEBERERG5H/J1j8vdXL58GRcXF7755huL/atWrcLR0ZFLly5x8uRJTCYTy5Yto1GjRtjb21OtWjW2bNlicc4ff/xBu3btcHJyokSJErzwwgucO3fOON6iRQuGDRvGiBEjKFasGAEBAfj6+gLQpUsXTCaT8Rngu+++o06dOtjb21OuXDmCg4NJTU01jptMJubNm0eXLl0oXLgwFSpUYPXq1cbxhIQEevfujYeHBw4ODlSoUIHQ0FAA45oiIiKM8lu2bKFBgwbY2dnh5eXF+PHjLdpr0aIFw4cPZ+zYsRQtWhRPT08mTZqUo/vt7OyMp6ensXl4eGRZdty4cfj7+1O4cGHKlSvHG2+8wfXr1y3KTJkyheLFi+Ps7MzAgQMZP358nhn6JiIiIiIPV4FOXBwdHXn22WeNB/qbQkNDeeaZZ3B2djb2jRkzhlGjRrFv3z4aNmxIp06dOH/+PAAXL17kiSeeoHbt2uzZs4d169bx999/06NHD4t6Fy5ciK2tLdu3b2fOnDns3r3baC8uLs74vHXrVvr06cOrr77KoUOH+OyzzwgLC+Ptt9+2qC84OJgePXqwf/9+2rdvT+/evblw4QIAb7zxBocOHWLt2rVERUXx6aefZvmSx7/++ov27dtTv359IiMj+fTTT5k/fz5TpkzJEL+joyO7du3ivffe46233mLjxo05ve3Z4uzsTFhYGIcOHeKDDz5g7ty5zJw50zi+dOlS3n77bd5991327t1L6dKl+fTTT+9ab0pKCklJSRabiIiIiOR/+XpVscDAQJYsWYK9vb3F/rS0NP79918SEhI4cuQIjRo14vTp03h5eREfH0/JkiXZtGkTzZs3NyayT506lXHjxgGQmppK2bJleeWVVxg7dixTpkxh69atrF+/3mjjzz//xMfHh+joaPz9/WnRogVJSUn8/vvvFrFkNim9devWtGrViqCgIGPfkiVLGDt2LGfOnDHOmzBhApMnTwZu9B45OTmxdu1a2rZty1NPPUWxYsVYsGBBhvty++T8119/nRUrVhAVFYXJZALgk08+Ydy4cSQmJmJlZUWLFi1IS0tj69atRj0NGjTgiSeeYOrUqXf9Xvj6+hIXF0ehQoWMfe+88w7Dhw/P8j7cavr06Sxbtow9e/YA8Pjjj1OvXj0++ugjo0yTJk1ITk626Em63aRJkwgODs6wX6uKiYhkTauKichNeXlVsXzf49KyZUsiIiIstnnz5hnHGzRoQNWqVVm4cCFwI0EoU6YMzZo1s6inYcOGxtc2NjbUq1ePqKgoACIjI/n5558t3jtSqVIlAGJiYozz6tatm62YIyMjeeuttyzqGzRoEHFxcVy5csUoV6NGDeNrR0dHXFxciI+PB+Cll15i2bJl1KpVi7Fjx7Jjx44s24uKiqJhw4ZG0gLQuHFjkpOT+fPPPzNtDzASvewaM2aMxfehT58+WZZdvnw5jRs3xtPTEycnJyZMmEBsbKxxPDo6mgYNGlicc/vnzAQFBZGYmGhsp0+fznb8IiIiIpJ35fvJ+Y6Ojvj5+Vnsu/VhHGDgwIF8/PHHjB8/ntDQUPr162fxEH83ycnJdOrUiXfffTfDMS8vL4tYsltfcHAwXbt2zXDs1t6jW3sv4EavRXp6OgDt2rXj1KlT/Pjjj2zcuJFWrVrx8ssvM3369GzFkJk7tZcdxYoVy/C9yMzOnTvp3bs3wcHBBAQE4OrqyrJly5gxY0aOY76dnZ0ddnZ2/7keEREREclb8n2PS3Y8//zznDp1itmzZ3Po0CH69u2bocyvv/5qfJ2amsrevXupXLkyAHXq1OHgwYP4+vri5+dnsd0tWSlUqBBpaWkW++rUqUN0dHSGuvz8/LCyyv63xMPDg759+7JkyRJmzZrF559/nmm5ypUrs3PnTm4dFbh9+3acnZ1zZcniHTt2UKZMGV5//XXq1atHhQoVOHXqlEWZihUrGnOCbrr9s4iIiIg8Oh6JxKVIkSJ07dqVMWPG8OSTT2b6sP7xxx/z7bffcvjwYV5++WUSEhLo378/AC+//DIXLlygV69e7N69m5iYGNavX0+/fv0yJCW38/X1ZfPmzZw9e5aEhAQAJk6cyKJFiwgODubgwYNERUWxbNkyJkyYkO1rmjhxIt999x3Hjh3j4MGDrFmzxki0bjd06FBOnz7NK6+8wuHDh/nuu+948803GTlyZI4SpfulQoUKxMbGsmzZMmJiYpg9ezbffvutRZlXXnmF+fPns3DhQo4ePcqUKVPYv39/jnrKRERERKTgeCQSF4ABAwZw7do1Ixm53dSpU5k6dSo1a9Zk27ZtrF692lily9vbm+3bt5OWlsaTTz5J9erVGTFiBG5ubnd98J8xYwYbN27Ex8eH2rVrAxAQEMCaNWvYsGED9evX5/HHH2fmzJmUKVMm29dja2tLUFAQNWrUoFmzZlhbW7Ns2bJMy5YsWZIff/yR3377jZo1azJkyBAGDBiQo0Tpfnrqqad47bXXGDZsGLVq1WLHjh288cYbFmV69+5NUFAQo0ePpk6dOpw4cYLAwMAMCzGIiIiIyKMhX68qlhOLFy/mtdde48yZMxYvhrx9BS7Ju9q0aYOnpyeLFy/O9jnZXaVCRERERHJHdp/X8v3k/Lu5cuUKcXFxTJ06lRdffDHX3mYvOXPlyhXmzJlDQEAA1tbWfPnll2zatOmBvVdGRERERPK2Aj9U7L333qNSpUp4enpavDdFsm/p0qUWSzffulWtWvWBtGkymfjxxx9p1qwZdevW5fvvv2fFihW0bt36gbQnIiIiInnbIzNUTO7dpUuX+PvvvzM9VqhQoRzNzXnYNFRMROTuRkyNyu0QROT/mzU+88WWCrJH5gWUD1N4eDgmk4mLFy/esZyvry+zZs16oLFMmjQp23NyclI2M87Ozpku3ezn55enkxYRERERKTgKROISGBhI586dM+zPbqJxr8LCwnBzc7vv9ZpMJmNzcXGhfv36fPfddxZlRo8ezebNm+9725mZO3cuNWvWxMnJCTc3N2rXrk1ISMhDaVtEREREBApI4lIQhYaGEhcXx549e2jcuDHPPPMMBw4cMI47OTnh7u7+wONYsGABI0aMYPjw4URERLB9+3bGjh1LcnLyA2vz2rVrD6xuEREREcmfHqnEZdu2bTRt2hQHBwd8fHwYPnw4ly9fNo4vXryYevXq4ezsjKenJ8899xzx8fGZ1hUeHk6/fv1ITEw0ekcmTZpkHL9y5Qr9+/fH2dmZ0qVLZ/lW+6y4ubnh6emJv78/kydPJjU1lZ9//tk4fvvwr/DwcBo0aICjoyNubm40btw4w9vob4qJiaFcuXIMGzaMu01xWr16NT169GDAgAH4+flRtWpVevXqxdtvv21RbsGCBVStWhU7Ozu8vLwYNmyYcSw2Npann34aJycnXFxc6NGjh8WcmZvXMm/ePMqWLWu8q+XixYsMHDgQDw8PXFxceOKJJ4iMjMz2PRQRERGRguORSVxiYmJo27Yt3bp1Y//+/Sxfvpxt27ZZPGBfv36dyZMnExkZyapVqzh58iSBgYGZ1teoUSNmzZqFi4sLcXFxxMXFMXr0aOP4jBkzqFevHvv27WPo0KG89NJLREdH5zju1NRU5s+fD5DlUs6pqal07tyZ5s2bs3//fnbu3MngwYMzfcv8/v37adKkCc899xwfffTRXd9E7+npya+//pplEgTw6aef8vLLLzN48GAOHDjA6tWr8fPzAyA9PZ2nn36aCxcusGXLFjZu3Mjx48fp2bOnRR3Hjh1jxYoVrFy5koiICAC6d+9OfHw8a9euZe/evdSpU4dWrVpx4cKFLGNJSUkhKSnJYhMRERGR/K/AvMdlzZo1ODk5WexLS0szvg4JCaF3796MGDECgAoVKjB79myaN2/Op59+ir29Pf379zfKlytXjtmzZ1O/fn2Sk5Mz1G1ra4urqysmkwlPT88M8bRv356hQ4cCMG7cOGbOnMnPP/9MxYoVs3U9vXr1wtramqtXr5Keno6vry89evTItGxSUhKJiYl07NiR8uXLA1C5csYVKXbs2EHHjh15/fXXGTVqVLbiePPNN+natSu+vr74+/vTsGFD2rdvzzPPPIOV1Y28d8qUKYwaNYpXX33VOK9+/foAbN68mQMHDnDixAl8fHwAWLRoEVWrVmX37t1GuWvXrrFo0SI8PDyAG71jv/32G/Hx8djZ2QEwffp0Vq1axTfffMPgwYMzjTckJITg4OBsXZuIiIiI5B8FpselZcuWREREWGzz5s0zjkdGRhIWFmbxDpKAgADS09M5ceIEAHv37qVTp06ULl0aZ2dnmjdvDtwY6pRTNWrUML6+mdxkNewsMzNnziQiIoK1a9dSpUoV5s2bR9GiRTMtW7RoUQIDAwkICKBTp0588MEHxMXFWZSJjY2lTZs2TJw4MdtJC4CXlxc7d+7kwIEDvPrqq6SmptK3b1/atm1Leno68fHxnDlzhlatWmV6flRUFD4+PkbSAlClShXc3NyIivq/5TfLlCljJC1w4/uVnJyMu7u7xffsxIkTxMTEZBlvUFAQiYmJxnb69OlsX6uIiIiI5F0FpsfF0dHRGJ50059//ml8nZyczIsvvsjw4cMznFu6dGkuX75MQEAAAQEBLF26FA8PD2JjYwkICLinyeKFChWy+GwymUhPT8/2+Z6ensaSw6GhobRv355Dhw5RvHjxTMuHhoYyfPhw1q1bx/Lly5kwYQIbN27k8ccfB8DDwwNvb2++/PJL+vfvn+N3mlSrVo1q1aoxdOhQhgwZQtOmTdmyZQv16tXLUT1ZcXR0tPicnJyMl5cX4eHhGcreaSU3Ozs7o4dGRERERAqOAtPjcjd16tTh0KFDmb6LxNbWlsOHD3P+/HmmTp1K06ZNqVSp0l17SGxtbS2Goz0oDRo0oG7duhkmxN+udu3aBAUFsWPHDqpVq8YXX3xhHHNwcGDNmjXY29sTEBDApUuX7jmeKlWqAHD58mWcnZ3x9fXNcmnmypUrc/r0aYuej0OHDnHx4kWjnszUqVOHs2fPYmNjk+H7VaxYsXuOXURERETyp0cmcRk3bhw7duxg2LBhREREcPToUb777jtjcn7p0qWxtbXlww8/5Pjx46xevZrJkyffsU5fX1+Sk5PZvHkz586d48qVKw8s/hEjRvDZZ5/x119/ZTh24sQJgoKC2LlzJ6dOnWLDhg0cPXo0wzwXR0dHfvjhB2xsbGjXrl22ljR+6aWXmDx5Mtu3b+fUqVP8+uuv9OnTBw8PDxo2bAjcWBVsxowZzJ49m6NHj/L777/z4YcfAtC6dWuqV69O7969+f333/ntt9/o06cPzZs3v2NvTevWrWnYsCGdO3dmw4YNnDx5kh07dvD666+zZ8+enNw6ERERESkAHpnEpUaNGmzZsoUjR47QtGlTateuzcSJE/H29gZuDKUKCwvj66+/pkqVKkydOpXp06ffsc5GjRoxZMgQevbsiYeHB++9994Di79t27aULVs2016XwoULc/jwYbp164a/vz+DBw/m5Zdf5sUXX8xQ1snJibVr12I2m+nQoYPFctCZad26Nb/++ivdu3fH39+fbt26YW9vz+bNm433yPTt25dZs2bxySefULVqVTp27MjRo0eBG0PkvvvuO4oUKUKzZs1o3bo15cqVY/ny5Xds12Qy8eOPP9KsWTP69euHv78/zz77LKdOnaJEiRLZvW0iIiIiUkCYzHd7kYdIPpaUlISrqyuJiYk5ntcjIiIiIg9edp/XHpkeFxERERERyb+UuDxk77zzjsXyvrdu7dq1e+jxtGvXLst43nnnnYcej4iIiIhIZjRU7CG7cOFClm9+d3BwoGTJkg81nr/++ourV69meqxo0aJZvjsmv9BQMRGRu3vjk1O5HYJIvjF5aJncDqHAye7zWoF5j0t+kdeSgYedKImIiIiI3AsNFXtEnDx5EpPJRERExH0tKyIiIiLyMChxKSACAwMxmUyYTCYKFSpE2bJlGTt2LP/++y8APj4+xMXFUa1atYcWU0hICNbW1kybNu2htSkiIiIiBZMSlwKkbdu2xMXFcfz4cWbOnMlnn33Gm2++CYC1tTWenp7Y2Dy80YELFixg7NixLFiw4KG1KSIiIiIFkxKXAsTOzg5PT098fHzo3LkzrVu3ZuPGjUDG4V8JCQn07t0bDw8PHBwcqFChAqGhoZnWm5aWRv/+/alUqRKxsbHZimXLli1cvXqVt956i6SkJHbs2JGhzJQpUyhevDjOzs4MHDiQ8ePHU6tWLYsy8+bNo3Llytjb21OpUiU++eST7N8QERERESkwNDm/gPrjjz/YsWMHZcpkvvLFG2+8waFDh1i7di3FihXj2LFjma4ulpKSQq9evTh58iRbt27Fw8MjW+3Pnz+fXr16UahQIXr16sX8+fNp1KiRcXzp0qW8/fbbfPLJJzRu3Jhly5YxY8YMypYta1Fm4sSJfPTRR9SuXZt9+/YxaNAgHB0d6du3b6btpqSkkJKSYnxOSkrKVrwiIiIikrcpcSlA1qxZg5OTE6mpqaSkpGBlZcVHH32UadnY2Fhq165NvXr1APD19c1QJjk5mQ4dOpCSksLPP/+Mq6trtuJISkrim2++YefOnQA8//zzNG3alA8++AAnJycAPvzwQwYMGEC/fv0AmDhxIhs2bCA5Odmo580332TGjBl07doVgLJly3Lo0CE+++yzLBOXkJAQgoODsxWniIiIiOQfGipWgLRs2ZKIiAh27dpF37596devH926dcu07EsvvcSyZcuoVasWY8eOzXQoV69evbh8+TIbNmzIdtIC8OWXX1K+fHlq1qwJQK1atShTpgzLly83ykRHR9OgQQOL8279fPnyZWJiYhgwYIDFSzGnTJlCTExMlm0HBQWRmJhobKdPn8523CIiIiKSdylxKUAcHR3x8/OjZs2aLFiwgF27djF//vxMy7Zr145Tp07x2muvcebMGVq1asXo0aMtyrRv3579+/cbPSfZNX/+fA4ePIiNjY2xHTp0KEeT9G/2vMydO5eIiAhj++OPP/j111+zPM/Ozg4XFxeLTURERETyPyUuBZSVlRX/+9//mDBhQqZzVwA8PDzo27cvS5YsYdasWXz++ecWx1966SWmTp3KU089xZYtW7LV7oEDB9izZw/h4eEWCUd4eDg7d+7k8OHDAFSsWJHdu3dbnHvr5xIlSuDt7c3x48fx8/Oz2G6dByMiIiIijwbNcSnAunfvzpgxY/j444955plnLI5NnDiRunXrUrVqVVJSUlizZg2VK1fOUMcrr7xCWloaHTt2ZO3atTRp0uSObc6fP58GDRrQrFmzDMfq16/P/PnzmTZtGq+88gqDBg2iXr16NGrUiOXLl7N//37KlStnlA8ODmb48OG4urrStm1bUlJS2LNnDwkJCYwcOfIe74qIiIiI5EfqcSnAbGxsGDZsGO+99x6XL1+2OGZra0tQUBA1atSgWbNmWFtbs2zZskzrGTFiBMHBwbRv3z7TuTA3Xbt2jSVLlmQ5r6Zbt24sWrSI69ev07t3b4KCghg9ejR16tThxIkTBAYGYm9vb5QfOHAg8+bNIzQ0lOrVq9O8eXPCwsLU4yIiIiLyCDKZzWZzbgchAtCmTRs8PT1ZvHjxfaszKSkJV1dXEhMTNd9FREREJA/K7vOahopJrrhy5Qpz5swhICAAa2trvvzySzZt2mS8MFNERERE5FYaKiY5snTpUovliW/dqlatmu16TCYTP/74I82aNaNu3bp8//33rFixgtatWz/A6EVEREQkv9JQMcmRS5cu8ffff2d6rFChQpQpU+YhR3RnGiomInJ37y7J/N91kUfBuOdL5HYIjzwNFZMHwtnZGWdn5wdSd3h4OC1btiQhIQE3N7cH0oaIiIiI5E8aKiYiIiIiInmeEhcREREREcnzlLhIjqxbt44mTZrg5uaGu7s7HTt2JCYmBoCTJ09iMplYtmwZjRo1wt7enmrVqrFly5Z7bm/FihVUrVoVOzs7fH19mTFjxv26FBERERHJR5S4SI5cvnyZkSNHsmfPHjZv3oyVlRVdunQhPT3dKDNmzBhGjRrFvn37aNiwIZ06deL8+fM5bmvv3r306NGDZ599lgMHDjBp0iTeeOMNwsLCsjwnJSWFpKQki01ERERE8j9Nzpcc6datm8XnBQsW4OHhwaFDh3BycgJg2LBhRrlPP/2UdevWMX/+fMaOHZujtt5//31atWrFG2+8AYC/vz+HDh1i2rRpBAYGZnpOSEgIwcHBObwqEREREcnr1OMiOXL06FF69epFuXLlcHFxwdfXF4DY2FijTMOGDY2vbWxsqFevHlFRUTluKyoqisaNG1vsa9y4MUePHiUtLS3Tc4KCgkhMTDS206dP57hdEREREcl71OMiOdKpUyfKlCnD3Llz8fb2Jj09nWrVqnHt2rXcDg0AOzs77OzscjsMEREREbnP1OMi2Xb+/Hmio6OZMGECrVq1onLlyiQkJGQo9+uvvxpfp6amsnfvXipXrpzj9ipXrsz27dst9m3fvh1/f3+sra1zfgEiIiIikm+px0WyrUiRIri7u/P555/j5eVFbGws48ePz1Du448/pkKFClSuXJmZM2eSkJBA//79c9zeqFGjqF+/PpMnT6Znz57s3LmTjz76iE8++eR+XI6IiIiI5CPqcZFss7KyYtmyZezdu5dq1arx2muvMW3atAzlpk6dytSpU6lZsybbtm1j9erVFCtWLMft1alTh6+++oply5ZRrVo1Jk6cyFtvvZXlxHwRERERKbhMZrPZnNtBSMFw8uRJypYty759+6hVq1ZuhwNAUlISrq6uJCYm4uLiktvhiIiIiMhtsvu8ph4XERERERHJ85S4yEMzZMgQnJycMt2GDBmS2+GJiIiISB6moWLy0MTHx2f5JnsXFxeKFy9+39vUUDERkbv7ZNWF3A5BHlFDOxfN7RAkD8ju85pWFZOHpnjx4g8kORERERGRgk9DxSRXtGjRghEjRhiffX19mTVrlvH57NmztGnTBkdHR9zc3LLcJyIiIiKPBiUuQmBgICaTydjc3d1p27Yt+/fvN8rcetzV1ZXGjRvz008/3bcYdu/ezeDBg43PM2fOJC4ujoiICI4cOZLlPhERERF5NChxEQDatm1LXFwccXFxbN68GRsbGzp27GhRJjQ0lLi4OLZv306xYsXo2LEjx48fvy/te3h4ULhwYeNzTEwMdevWpUKFCsbwssz2iYiIiMijQYmLAGBnZ4enpyeenp7UqlWL8ePHc/r0af755x+jjJubG56enlSrVo1PP/2Uq1evsnHjxrvWffnyZfr06YOTkxNeXl7MmDEjQ5lbh4r5+vqyYsUKFi1ahMlkIjAwMNN9mUlJSSEpKcliExEREZH8T5PzJYPk5GSWLFmCn58f7u7umZZxcHAA4Nq1a3etb8yYMWzZsoXvvvuO4sWL87///Y/ff/89y5dU7t69mz59+uDi4sIHH3yAg4MD165dy7AvMyEhIQQHB2fvQkVEREQk31DiIgCsWbMGJycn4EYPiZeXF2vWrMHKKmOn3JUrV5gwYQLW1tY0b978jvUmJyczf/58lixZQqtWrQBYuHAhpUqVyvIcDw8P7OzscHBwwNPT09if2b7bBQUFMXLkSONzUlISPj4+d4xRRERERPI+JS4CQMuWLfn0008BSEhI4JNPPqFdu3b89ttvlClTBoBevXphbW3N1atX8fDwYP78+dSoUeOO9cbExHDt2jUee+wxY1/RokWpWLHiA7kOOzs77OzsHkjdIiIiIpJ7lLgIAI6Ojvj5+Rmf582bh6urK3PnzmXKlCnAjVW9WrdujaurKx4eHrkVqoiIiIg8gjQ5XzJlMpmwsrLi6tWrxj5PT0/8/PxylLSUL1+eQoUKsWvXLmNfQkKCljMWERERkRxRj4sAN1bjOnv2LHAjsfjoo49ITk6mU6dO/6leJycnBgwYwJgxY3B3d6d48eK8/vrrmc6dERERERHJihIXAWDdunV4eXkB4OzsTKVKlfj6669p0aLFf6572rRpRhLk7OzMqFGjSExM/M/1ioiIiMijw2Q2m825HYTIg5KUlISrqyuJiYm4uLjkdjgiIiIicpvsPq9pvI6IiIiIiOR5SlzkP4mNjcXJySnLLTY2NrdDFBEREZECQHNc5D/x9vYmIiLijsdFRCRvW7gxKbdDkAKmbxsNz5b7T4mL/Cc2NjYW738REREREXkQNFRMRERERETyPCUuIiIiIiKS5ylxkQdm3bp1NGnSBDc3N9zd3enYsSMxMTHG8R07dlCrVi3s7e2pV68eq1atwmQyWcyZ+eOPP2jXrh1OTk6UKFGCF154gXPnzuXC1YiIiIhIblLiIg/M5cuXGTlyJHv27GHz5s1YWVnRpUsX0tPTSUpKolOnTlSvXp3ff/+dyZMnM27cOIvzL168yBNPPEHt2rXZs2cP69at4++//6ZHjx5ZtpmSkkJSUpLFJiIiIiL5nybnywPTrVs3i88LFizAw8ODQ4cOsW3bNkwmE3PnzsXe3p4qVarw119/MWjQIKP8Rx99RO3atXnnnXcs6vDx8eHIkSP4+/tnaDMkJITg4OAHd1EiIiIikivU4yIPzNGjR+nVqxflypXDxcUFX19f4Ma7X6Kjo6lRowb29vZG+QYNGlicHxkZyc8//2zxXphKlSoBWAw5u1VQUBCJiYnGdvr06QdzcSIiIiLyUKnHRR6YTp06UaZMGebOnYu3tzfp6elUq1aNa9euZev85ORkOnXqxLvvvpvhmJeXV6bn2NnZYWdn95/iFhEREZG8R4mLPBDnz58nOjqauXPn0rRpUwC2bdtmHK9YsSJLliwhJSXFSDR2795tUUedOnVYsWIFvr6+2NjoR1VERETkUaahYvJAFClSBHd3dz7//HOOHTvGTz/9xMiRI43jzz33HOnp6QwePJioqCjWr1/P9OnTATCZTAC8/PLLXLhwgV69erF7925iYmJYv349/fr1Iy0tLVeuS0RERERyhxIXeSCsrKxYtmwZe/fupVq1arz22mtMmzbNOO7i4sL3339PREQEtWrV4vXXX2fixIkAxrwXb29vtm/fTlpaGk8++STVq1dnxIgRuLm5YWWlH10RERGRR4nJbDabczsIEYClS5fSr18/EhMTcXBwuC91JiUl4erqSmJiIi4uLvelThERERG5f7L7vKaJA5JrFi1aRLly5ShZsiSRkZGMGzeOHj163LekRUREREQKDiUukmvOnj3LxIkTOXv2LF5eXnTv3p233347t8MSERERkTxIQ8WkQNNQMRGRu1uxPTm3Q5ACpltjp9wOQfKR7D6vaYaziIiIiIjkeUpcREREREQkz1PiInlWWloa6enpuR2GiIiIiOQBSlzyiXXr1tGkSRPc3Nxwd3enY8eOxMTEGMd37NhBrVq1sLe3p169eqxatQqTyURERIRR5o8//qBdu3Y4OTlRokQJXnjhBc6dO3fXthctWoS7uzspKSkW+zt37swLL7xgfP7uu++oU6cO9vb2lCtXjuDgYFJTU43j77//PtWrV8fR0REfHx+GDh1KcvL/jasOCwvDzc2N1atXU6VKFezs7IiNjSU8PJwGDRrg6OiIm5sbjRs35tSpU/dyG0VEREQkn1Likk9cvnyZkSNHsmfPHjZv3oyVlRVdunQhPT2dpKQkOnXqRPXq1fn999+ZPHky48aNszj/4sWLPPHEE9SuXZs9e/awbt06/v77b3r06HHXtrt3705aWhqrV6829sXHx/PDDz/Qv39/ALZu3UqfPn149dVXOXToEJ999hlhYWEWq4RZWVkxe/ZsDh48yMKFC/npp58YO3asRVtXrlzh3XffZd68eRw8eJCiRYvSuXNnmjdvzv79+9m5cyeDBw/GZDJlGmtKSgpJSUkWm4iIiIjkf1pVLJ86d+4cHh4eHDhwgG3btjFhwgT+/PNP463z8+bNY9CgQezbt49atWoxZcoUtm7dyvr16406/vzzT3x8fIiOjsbf3/+O7Q0dOpSTJ0/y448/Ajd6Tz7++GOOHTuGyWSidevWtGrViqCgIOOcJUuWMHbsWM6cOZNpnd988w1Dhgwxen3CwsLo168fERER1KxZE4ALFy7g7u5OeHg4zZs3v+t9mTRpEsHBwRn2a1UxEZGsaVUxud+0qpjkhFYVK2COHj1Kr169KFeuHC4uLvj6+gIQGxtLdHQ0NWrUMJIWgAYNGlicHxkZyc8//4yTk5OxVapUCcBiyFlWBg0axIYNG/jrr7+AG0lGYGCg0fMRGRnJW2+9ZVH/oEGDiIuL48qVKwBs2rSJVq1aUbJkSZydnXnhhRc4f/68cRzA1taWGjVqGJ+LFi1KYGAgAQEBdOrUiQ8++IC4uLgs4wwKCiIxMdHYTp8+fddrExEREZG8Ty+gzCc6depEmTJlmDt3Lt7e3qSnp1OtWjWuXbuWrfOTk5Pp1KkT7777boZjXl5edz2/du3a1KxZk0WLFvHkk09y8OBBfvjhB4v6g4OD6dq1a4Zz7e3tOXnyJB07duSll17i7bffpmjRomzbto0BAwZw7do1ChcuDICDg0OGYWChoaEMHz6cdevWsXz5ciZMmMDGjRt5/PHHM7RlZ2eHnZ3dXa9HRERERPIXJS75wPnz54mOjmbu3Lk0bdoUgG3bthnHK1asyJIlS0hJSTEe2nfv3m1RR506dVixYgW+vr7Y2Nzbt33gwIHMmjWLv/76i9atW+Pj42NRf3R0NH5+fpmeu3fvXtLT05kxYwZWVjc6+r766qtst127dm1q165NUFAQDRs25Isvvsg0cRERERGRgklDxfKBIkWK4O7uzueff86xY8f46aefGDlypHH8ueeeIz09ncGDBxMVFcX69euZPn06gNF78fLLL3PhwgV69erF7t27iYmJYf369fTr14+0tLRsxfHcc8/x559/MnfuXGNS/k0TJ05k0aJFBAcHc/DgQaKioli2bBkTJkwAwM/Pj+vXr/Phhx9y/PhxFi9ezJw5c+7a5okTJwgKCmLnzp2cOnWKDRs2cPToUSpXrpytmEVERESkYFDikg9YWVmxbNky9u7dS7Vq1XjttdeYNm2acdzFxYXvv/+eiIgIatWqxeuvv87EiRMBjHkv3t7ebN++nbS0NJ588kmqV6/OiBEjcHNzM3pA7sbV1ZVu3brh5ORE586dLY4FBASwZs0aNmzYQP369Xn88ceZOXMmZcqUAaBmzZq8//77vPvuu1SrVo2lS5cSEhJy1zYLFy7M4cOH6datG/7+/gwePJiXX36ZF198MVsxi4iIiEjBoFXFCqilS5fSr18/EhMTcXBwuG/1tmrViqpVqzJ79uz7VueDlN1VKkREREQkd2T3eU1zXAqIRYsWUa5cOUqWLElkZCTjxo2jR48e9y1pSUhIIDw8nPDwcD755JP7UqeIiIiISHYpcSkgzp49y8SJEzl79ixeXl50797d4uWPdxIbG0uVKlWyPH7o0CGaNWtGQkIC7777LhUrVrxfYYuIiIiIZIuGigmpqamcPHkyy+P/ZSWy3KahYiIid7d+r15AKXcXUFcvlZQHQ0PFJNtsbGyyXMZYRERERCQv0Kpi+cTJkycxmUxERET8p3p8fX2ZNWvWfYnpYQsLC8PNzS23wxARERGRXKDERe6ZEgkREREReViUuEiuS0tLIz09PbfDEBEREZE8TIlLHpOens57772Hn58fdnZ2lC5d2mJ1sOPHj9OyZUsKFy5MzZo12blzp8X5K1asoGrVqtjZ2eHr68uMGTPu2N7FixcZOHAgHh4euLi48MQTTxAZGWkcj4yMpGXLljg7O+Pi4kLdunXZs2cP4eHhxntiTCYTJpOJSZMmAZCSksLo0aMpWbIkjo6OPPbYY4SHhxt13uypWb16NVWqVMHOzo7Y2FgSEhLo06cPRYoUoXDhwrRr146jR4/+95sqIiIiIvmeEpc8JigoiKlTp/LGG29w6NAhvvjiC0qUKGEcf/311xk9ejQRERH4+/vTq1cvUlNTAdi7dy89evTg2Wef5cCBA0yaNIk33niDsLCwLNvr3r078fHxrF27lr1791KnTh1atWrFhQsXAOjduzelSpVi9+7d7N27l/Hjx1OoUCEaNWrErFmzcHFxIS4ujri4OEaPHg3AsGHD2LlzJ8uWLWP//v10796dtm3bWiQhV65c4d1332XevHkcPHiQ4sWLExgYyJ49e1i9ejU7d+7EbDbTvn17rl+/nu37l5KSQlJSksUmIiIiIvmfVhXLQy5dusQHH3zARx99RN++fQEoX748TZo0MZYrHj16NB06dAAgODiYqlWrcuzYMSpVqsT7779Pq1ateOONNwDw9/fn0KFDTJs2jcDAwAztbdu2jd9++434+Hjs7OwAmD59OqtWreKbb75h8ODBxMbGMmbMGCpVqgRAhQoVjPNdXV0xmUx4enoa+2JjYwkNDSU2NhZvb28j5nXr1hEaGso777wDwPXr1/nkk0+oWbMmAEePHmX16tVs376dRo0aAbB06VJ8fHxYtWoV3bt3z9Y9DAkJITg4OFtlRURERCT/UI9LHhIVFUVKSgqtWrXKskyNGjWMr728vACIj483zm/cuLFF+caNG3P06FHS0tIy1BUZGUlycjLu7u44OTkZ24kTJ4iJiQFg5MiRDBw4kNatWzN16lRjf1YOHDhAWloa/v7+FnVu2bLF4lxbW1uLa4mKisLGxobHHnvM2Ofu7k7FihWJioq6Y5u3CgoKIjEx0dhOnz6d7XNFREREJO9Sj0se4uDgcNcyhQoVMr42mUwA9zyxPTk5GS8vL4v5JzfdXC1s0qRJPPfcc/zwww+sXbuWN998k2XLltGlS5cs67S2tmbv3r1YW1tbHHNy+r8XVzk4OBjx3092dnZG75GIiIiIFBxKXPKQChUq4ODgwObNmxk4cGCOz69cuTLbt2+32Ld9+3b8/f0zJBEAderU4ezZs9jY2ODr65tlvf7+/vj7+/Paa6/Rq1cvQkND6dKlC7a2thl6cmrXrk1aWhrx8fE0bdo0R7Gnpqaya9cuY6jY+fPniY6OpkqVKtmuR0REREQKJg0Vy0Ps7e0ZN24cY8eOZdGiRcTExPDrr78yf/78bJ0/atQoNm/ezOTJkzly5AgLFy7ko48+MibN365169Y0bNiQzp07s2HDBk6ePMmOHTt4/fXX2bNnD1evXmXYsGGEh4dz6tQptm/fzu7du6lcuTJw42WWycnJbN68mXPnznHlyhX8/f3p3bs3ffr0YeXKlZw4cYLffvuNkJAQfvjhhyxjr1ChAk8//TSDBg1i27ZtREZG8vzzz1OyZEmefvrpnN9MERERESlQlLjkMW+88QajRo1i4sSJVK5cmZ49expzWO6mTp06fPXVVyxbtoxq1aoxceJE3nrrrUwn5sONoWY//vgjzZo1o1+/fvj7+/Pss89y6tQpSpQogbW1NefPn6dPnz74+/vTo0cP2rVrZ0x+b9SoEUOGDKFnz554eHjw3nvvARAaGkqfPn0YNWoUFStWpHPnzuzevZvSpUvfMf7Q0FDq1q1Lx44dadiwIWazmR9//NFieJyIiIiIPJpMZrPZnNtBiDwoSUlJuLq6kpiYiIuLS26HIyIiIiK3ye7zmnpcREREREQkz1PiIiIiIiIieZ5WFRMREXnEbfsjMbdDkAegSTXX3A5B5L5Sj4uIiIiIiOR5SlzkgQkMDMRkMhmbu7s7bdu2Zf/+/UaZm8d+/fVXi3NTUlJwd3fHZDJZvCDTZDKxatWqh3QFIiIiIpJXKHGRB6pt27bExcURFxfH5s2bsbGxoWPHjhZlfHx8CA0Ntdj37bff4uTk9DBDFREREZE8TImLPFB2dnZ4enri6elJrVq1GD9+PKdPn+aff/4xyvTt25dly5Zx9epVY9+CBQvo27dvboQsIiIiInmQEhd5aJKTk1myZAl+fn64u7sb++vWrYuvry8rVqwAIDY2ll9++YUXXnghx22kpKSQlJRksYmIiIhI/qfERR6oNWvW4OTkhJOTE87OzqxevZrly5djZWX5o9e/f38WLFgAQFhYGO3bt8fDwyPH7YWEhODq6mpsPj4+9+U6RERERCR3KXGRB6ply5ZEREQQERHBb7/9RkBAAO3atePUqVMW5Z5//nl27tzJ8ePHCQsLo3///vfUXlBQEImJicZ2+vTp+3EZIiIiIpLLlLjIA+Xo6Iifnx9+fn7Ur1+fefPmcfnyZebOnWtRzt3dnY4dOzJgwAD+/fdf2rVrd0/t2dnZ4eLiYrGJiIiISP6nxEUeKpPJhJWVlcVE/Jv69+9PeHg4ffr0wdraOheiExEREZG8yia3A5CCLSUlhbNnzwKQkJDARx99RHJyMp06dcpQtm3btvzzzz/qJRERERGRDJS4yAO1bt06vLy8AHB2dqZSpUp8/fXXtGjRIkNZk8lEsWLFHnKEIiIiIpIfmMxmszm3gxB5UJKSknB1dSUxMVE9OSIiIiJ5UHaf1zTHRURERERE8jwlLiIiIiIikudpjouIiMgj7vfoc7kdgtwHdSpqnqgUbOpxERERERGRPE+Ji9x3vr6+zJo1K9vlT548iclkIiIi4oHFJCIiIiL5mxIXue92797N4MGD72udYWFhuLm53dc6RURERCT/0BwXue88PDxyOwQRERERKWDU4yKsWbMGNzc30tLSAIiIiMBkMjF+/HijzMCBA3n++ecB2LZtG02bNsXBwQEfHx+GDx/O5cuXjbK3DxU7fPgwTZo0wd7enipVqrBp0yZMJhOrVq2yiOP48eO0bNmSwoULU7NmTXbu3AlAeHg4/fr1IzExEZPJhMlkYtKkSZleS0pKCklJSRabiIiIiOR/SlyEpk2bcunSJfbt2wfAli1bKFasGOHh4UaZLVu20KJFC2JiYmjbti3dunVj//79LF++nG3btjFs2LBM605LS6Nz584ULlyYXbt28fnnn/P6669nWvb1119n9OjRRERE4O/vT69evUhNTaVRo0bMmjULFxcX4uLiiIuLY/To0ZnWERISgqurq7H5+Pj8t5sjIiIiInmCEhfB1dWVWrVqGYlKeHg4r732Gvv27SM5OZm//vqLY8eO0bx5c0JCQujduzcjRoygQoUKNGrUiNmzZ7No0SL+/fffDHVv3LiRmJgYFi1aRM2aNWnSpAlvv/12pnGMHj2aDh064O/vT3BwMKdOneLYsWPY2tri6uqKyWTC09MTT09PnJycMq0jKCiIxMREYzt9+vR9u08iIiIiknuUuAgAzZs3Jzw8HLPZzNatW+natSuVK1dm27ZtbNmyBW9vbypUqEBkZCRhYWE4OTkZW0BAAOnp6Zw4cSJDvdHR0fj4+ODp6Wnsa9CgQaYx1KhRw/jay8sLgPj4+Bxdh52dHS4uLhabiIiIiOR/mpwvALRo0YIFCxYQGRlJoUKFqFSpEi1atCA8PJyEhASaN28OQHJyMi+++CLDhw/PUEfp0qX/UwyFChUyvjaZTACkp6f/pzpFREREpGBQ4iLA/81zmTlzppGktGjRgqlTp5KQkMCoUaMAqFOnDocOHcLPzy9b9VasWJHTp0/z999/U6JECeDGcsk5ZWtrayweICIiIiKPHg0VEwCKFClCjRo1WLp0KS1atACgWbNm/P777xw5csRIZsaNG8eOHTsYNmwYERERHD16lO+++y7Lyflt2rShfPny9O3bl/3797N9+3YmTJgA/F+vSnb4+vqSnJzM5s2bOXfuHFeuXPlvFywiIiIi+YoSFzE0b96ctLQ0I3EpWrQoVapUwdPTk4oVKwI35qFs2bKFI0eO0LRpU2rXrs3EiRPx9vbOtE5ra2tWrVpFcnIy9evXZ+DAgcaqYvb29tmOrVGjRgwZMoSePXvi4eHBe++9998uVkRERETyFZPZbDbndhDyaNm+fTtNmjTh2LFjlC9f/oG2lZSUhKurK4mJiZqoLyIiIpIHZfd5TXNc5IH79ttvcXJyokKFChw7doxXX32Vxo0bP/CkRUREREQKDiUu8sBdunSJcePGERsbS7FixWjdujUzZszI7bBEREREJB/RUDEp0DRUTETk7g4dO5PbIQhQxS/z+aIiBV12n9c0OT8P8PX1ZdasWQ+s/rCwMNzc3B5Y/dnRokULRowYkasxiIiIiEj+pcTlATt9+jT9+/fH29sbW1tbypQpw6uvvsr58+cfWgw9e/bkyJEjxudJkyZRq1at+9pGYGAgJpMpw3bs2LH72o6IiIiIPJqUuDxAx48fp169ehw9epQvv/ySY8eOMWfOHDZv3kzDhg25cOHCQ4nDwcGB4sWLP/B22rZtS1xcnMVWtmzZB96uiIiIiBR8SlweoJdffhlbW1s2bNhA8+bNKV26NO3atWPTpk389ddfxvtM4MYE9l69euHo6EjJkiX5+OOPLeq6ePEiAwcOxMPDAxcXF5544gkiIyON45GRkbRs2RJnZ2dcXFyoW7cue/bsASyHioWFhREcHExkZKTRKxIWFkb//v3p2LGjRZvXr1+nePHizJ8/P1vXa2dnh6enp8VmbW2dadnFixdTr149nJ2d8fT05LnnniM+Pt6izOrVq6lQoQL29va0bNmShQsXYjKZuHjxYrbiEREREZGCQ4nLA3LhwgXWr1/P0KFDcXBwsDjm6elJ7969Wb58OTfXRpg2bRo1a9Zk3759jB8/nldffZWNGzca53Tv3p34+HjWrl3L3r17qVOnDq1atTJ6bXr37k2pUqXYvXs3e/fuZfz48RQqVChDXD179mTUqFFUrVrV6BXp2bMnAwcOZN26dcTFxRll16xZw5UrV+jZs+d9vz/Xr19n8uTJREZGsmrVKk6ePElgYKBx/MSJEzzzzDN07tyZyMhIXnzxRYtELyspKSkkJSVZbCIiIiKS/2k55Afk6NGjmM1mKleunOnxypUrk5CQwD///ANA48aNGT9+PAD+/v5s376dmTNn0qZNG7Zt28Zvv/1GfHw8dnZ2AEyfPp1Vq1bxzTffMHjwYGJjYxkzZgyVKlUCoEKFCpm26+DggJOTEzY2Nnh6ehr7GzVqRMWKFVm8eDFjx44FIDQ0lO7du+Pk5JSta16zZo1F2Xbt2vH1119nWrZ///7G1+XKlWP27NnUr1+f5ORknJyc+Oyzz6hYsSLTpk0DoGLFivzxxx+8/fbbd4whJCSE4ODgbMUrIiIiIvnHPfe4pKamsmnTJj777DMuXboEwJkzZ0hOTr5vwRUE2V1tumHDhhk+R0VFATeGgSUnJ+Pu7o6Tk5OxnThxgpiYGABGjhzJwIEDad26NVOnTjX258TAgQMJDQ0F4O+//2bt2rUWCcbdtGzZkoiICGObPXt2lmX37t1Lp06dKF26NM7OzjRv3hyA2NhYAKKjo6lfv77FOQ0aNLhrDEFBQSQmJhrb6dOnsx2/iIiIiORd99TjcurUKdq2bUtsbCwpKSm0adMGZ2dn3n33XVJSUpgzZ879jjPf8fPzw2QyERUVRZcuXTIcj4qKokiRInh4eNy1ruTkZLy8vAgPD89w7ObclUmTJvHcc8/xww8/sHbtWt58802WLVuWadtZ6dOnD+PHj2fnzp3s2LGDsmXL0rRp02yf7+joiJ+f313LXb58mYCAAAICAli6dCkeHh7ExsYSEBDAtWvXst1eZuzs7IxeKREREREpOO6px+XVV1+lXr16JCQkWMzf6NKlC5s3b75vweVn7u7utGnThk8++YSrV69aHDt79ixLly6lZ8+emEwmAH799VeLMr/++qsxzKxOnTqcPXsWGxsb/Pz8LLZixYoZ5/j7+/Paa6+xYcMGunbtavSe3M7W1pa0tLRMY+7cuTOhoaGEhYXRr1+//3QPsnL48GHOnz/P1KlTadq0KZUqVcowMb9ixYrG4gI37d69+4HEIyIiIiJ53z0lLlu3bmXChAnY2tpa7Pf19eWvv/66L4EVBB999BEpKSkEBATwyy+/cPr0adatW0ebNm0oWbKkxXyN7du3895773HkyBE+/vhjvv76a1599VUAWrduTcOGDencuTMbNmzg5MmT7Nixg9dff509e/Zw9epVhg0bRnh4OKdOnWL79u3s3r07y/k1vr6+nDhxgoiICM6dO0dKSopxbODAgSxcuJCoqCj69u37QO5L6dKlsbW15cMPP+T48eOsXr2ayZMnW5R58cUXOXz4MOPGjePIkSN89dVXhIWFARjJnoiIiIg8Ou4pcUlPT8/0L/Z//vknzs7O/zmogqJChQrs2bOHcuXK0aNHD8qXL8/gwYNp2bIlO3fupGjRokbZUaNGsWfPHmrXrs2UKVN4//33CQgIAG48qP/44480a9aMfv364e/vz7PPPsupU6coUaIE1tbWnD9/nj59+uDv70+PHj1o165dlpPUu3XrRtu2bWnZsiUeHh58+eWXxrHWrVvj5eVFQEAA3t7eD+S+eHh4EBYWxtdff02VKlWYOnUq06dPtyhTtmxZvvnmG1auXEmNGjX49NNPjVXFNBRMRERE5NFjMmd39vgtevbsiaurK59//jnOzs7s378fDw8Pnn76aUqXLp3lECXJ+5KTkylZsiShoaF07do1t8Ox8PbbbzNnzpwcTbhPSkrC1dWVxMREXFxcHmB0IiIiInIvsvu8dk+T82fMmEFAQABVqlTh33//5bnnnuPo0aMUK1bM4q/3kn+kp6dz7tw5ZsyYgZubG0899VRuh8Qnn3xC/fr1cXd3Z/v27UybNo1hw4bldlgiIiIikgvuKXEpVaoUkZGRLFu2jP3795OcnMyAAQPo3bt3hpctSv4QGxtL2bJlKVWqFGFhYdjY2Fgcq1KlSpbnHjp0iNKlS9/3mI4ePcqUKVO4cOECpUuXZtSoUQQFBd33dkREREQk77unoWLyaElNTeXkyZNZHvf19bVIdPISDRUTEbm74/fw7q/8pFz58rkdgojcwQMdKgY3/hr+888/Ex8fT3p6usWxiRMn3mu1kgfdXIb5fvD19WXEiBGMGDHivtQnIiIiIo+Ge0pc5s6dy0svvUSxYsXw9PS0WJ7WZDIpcRERERERkfvqnhKXKVOm8PbbbzNu3Lj7HY+IiIiIiEgG9/Qel4SEBLp3736/Y5EC4NKlS/Tu3RtHR0e8vLyYOXMmLVq0yHRo2MmTJzGZTERERBj7Ll68iMlkIjw83Nh38OBBOnbsiIuLC87OzjRt2pSYAj4eW0REREQs3VPi0r17dzZs2HC/Y5ECYOTIkWzfvp3Vq1ezceNGtm7dyu+//37P9f311180a9YMOzs7fvrpJ/bu3Uv//v1JTU3NtHxKSgpJSUkWm4iIiIjkf/c0VMzPz4833niDX3/9lerVq1OoUCGL48OHD78vwUn+cunSJRYuXMgXX3xBq1atAAgNDcXb2/ue6/z4449xdXVl2bJlxs+Zv79/luVDQkIIDg6+5/ZEREREJG+6p8Tl888/x8nJiS1btrBlyxaLYyaTSYnLI+r48eNcv36dBg0aGPtcXV2pWLHiPdcZERFB06ZNMyTHWQkKCmLkyJHG56SkJHx8fO65fRERERHJG+4pcTlx4sT9jkMeQVZWN0Yq3voqoevXr1uUyekLTe3s7LCzs/vvwYmIiIhInnJPc1xuZTab0TssBaBcuXIUKlSI3bt3G/sSExM5cuRIpuU9PDwAiIuLM/bdOlEfoEaNGmzdujVDQiMiIiIij5Z7TlwWLVpE9erVcXBwwMHBgRo1arB48eL7GZvkM87OzvTt25cxY8bw888/c/DgQQYMGICVlZXFu35ucnBw4PHHH2fq1KlERUWxZcsWJkyYYFFm2LBhJCUl8eyzz7Jnzx6OHj3K4sWLiY6OfliXJSIiIiJ5wD0lLu+//z4vvfQS7du356uvvuKrr76ibdu2DBkyhJkzZ97vGCUfef/992nYsCEdO3akdevWNG7cmMqVK2Nvb59p+QULFpCamkrdunUZMWIEU6ZMsTju7u7OTz/9RHJyMs2bN6du3brMnTs323NeRERERKRgMJnvYZxX2bJlCQ4Opk+fPhb7Fy5cyKRJkzQHRgyXL1+mZMmSzJgxgwEDBjz09pOSknB1dSUxMREXF5eH3r6IiIiI3Fl2n9fuaXJ+XFwcjRo1yrC/UaNGFvMV5NGzb98+Dh8+TIMGDUhMTOStt94C4Omnn87lyEREREQkP7unoWJ+fn589dVXGfYvX76cChUq/OegJH+bPn06NWvWpHXr1ly+fJmtW7dSrFix3A5LRERERPKxe+pxCQ4OpmfPnvzyyy80btwYgO3bt7N58+ZMExp5dNSuXZu9e/fmdhgiIpIDf0YfyO0Q7ptSFavndggi8oDcU49Lt27d2LVrF+7u7qxatYpVq1ZRrFgxfvvtN7p06XK/YxQRERERkUfcPfW4ANStW5elS5fez1hEREREREQylaMeFysrK6ytre+42djccy4k+VhgYCAmk4khQ4ZkOPbyyy9jMpkIDAy02L9z506sra3p0KFDhnNOnjyJyWQyNnd3d5588kn27dv3oC5BRERERPKwHGUZ3377bZbHdu7cyezZs0lPT//PQUn+5OPjw7Jly5g5cyYODg4A/Pvvv3zxxReULl06Q/n58+fzyiuvMH/+fM6cOYO3t3eGMps2baJq1ar8+eefDB8+nHbt2nH48GHc3Nwe9OWIiIiISB6So8QlsyVto6OjGT9+PN9//z29e/c2lr+VR0+dOnWIiYlh5cqV9O7dG4CVK1dSunRpypYta1E2OTmZ5cuXs2fPHs6ePUtYWBj/+9//MtTp7u6Op6cnnp6eTJ8+ncaNG7Nr1y4CAgIeyjWJiIiISN5wT5PzAc6cOcOgQYOoXr06qampREREsHDhQsqUKXM/45N8pn///oSGhhqfFyxYQL9+/TKU++qrr6hUqRIVK1bk+eefZ8GCBdztXag3e3GuXbuWZZmUlBSSkpIsNhERERHJ/3KcuCQmJjJu3Dj8/Pw4ePAgmzdv5vvvv6datWoPIj7JZ55//nm2bdvGqVOnOHXqFNu3b+f555/PUG7+/PnG/rZt25KYmMiWLVuyrPfixYtMnjwZJycnGjRokGW5kJAQXF1djc3Hx+e/X5SIiIiI5LocJS7vvfce5cqVY82aNXz55Zfs2LGDpk2bPqjYJB/y8PCgQ4cOhIWFERoaSocOHTK8fDI6OprffvuNXr16AWBjY0PPnj2ZP39+hvoaNWqEk5MTRYoUITIykuXLl1OiRIks2w8KCiIxMdHYTp8+fX8vUERERERyRY7muIwfPx4HBwf8/PxYuHAhCxcuzLTcypUr70twkj/179+fYcOGAfDxxx9nOD5//nxSU1MtJuObzWbs7Oz46KOPcHV1NfYvX76cKlWq4O7unq0J+XZ2dtjZ2f33ixARERGRPCVHiUufPn0wmUwPKhYpINq2bcu1a9cwmUwZJtGnpqayaNEiZsyYwZNPPmlxrHPnznz55ZcWSyr7+PhQvnz5hxK3iIiIiORdOUpcwsLCHlAYUpBYW1sTFRVlfH2rNWvWkJCQwIABAyx6VgC6devG/PnzM30XjIiIiIg82u55VTGRO3FxccHFxSXD/vnz59O6desMSQvcSFz27NnD/v37H0aIIiIiIpKPmMx3W4NWJB9LSkrC1dWVxMTETBMpEREREcld2X1eU4+LiIiIiIjkeUpcREREREQkz8vR5HwREREpeP4+sDO3QwCgRPWGuR2CiORh6nHJJYGBgXTu3Nn43KJFC0aMGJFr8YiIiIiI5GWPROLyzz//8NJLL1G6dGns7Ozw9PQkICCA7du3/+e6b09A7tXKlSuZPHnyf67n5MmTmEwmY3N3d+fJJ59k3759/7luEREREZHc8kgkLt26dWPfvn0sXLiQI0eOsHr1alq0aMH58+dzOzRD0aJFcXZ2vm/1bdq0ibi4ONavX09ycjLt2rXj4sWLmZa9fv36fWv3fsmLMYmIiIhI7inwicvFixfZunUr7777Li1btqRMmTI0aNCAoKAgnnrqKfr370/Hjh0tzrl+/TrFixdn/vz5AHzzzTdUr14dBwcH3N3dad26NZcvX2bSpEksXLiQ7777zujhCA8PB+DAgQM88cQTxjmDBw8mOTk5yzhvHyqWkpLCuHHj8PHxwc7ODj8/PyOe7HB3d8fT05N69eoxffp0/v77b3bt2mX0yCxfvpzmzZtjb2/P0qVLAZg3bx6VK1fG3t6eSpUq8cknnxj1Xbt2jWHDhuHl5YW9vT1lypQhJCQEALPZzKRJk4weLW9vb4YPH26cazKZWLVqlUV8bm5uxgtN7zUmEREREXl0FPjJ+U5OTjg5ObFq1Soef/xx7OzsLI4PHDiQZs2aERcXh5eXF3Dj7e5XrlyhZ8+exMXF0atXL9577z26dOnCpUuX2Lp1K2azmdGjRxMVFUVSUhKhoaHAjZ6Ty5cvExAQQMOGDdm9ezfx8fEMHDiQYcOGGQ/rd9OnTx927tzJ7NmzqVmzJidOnODcuXP3dA8cHByAG8nHTePHj2fGjBnUrl3bSBQmTpzIRx99RO3atdm3bx+DBg3C0dGRvn37Mnv2bFavXs1XX31F6dKlOX36NKdPnwZgxYoVzJw5k2XLllG1alXOnj1LZGRkjuPMaUyZSUlJISUlxficlJSU4zhEREREJO8p8ImLjY0NYWFhDBo0iDlz5lCnTh2aN2/Os88+S40aNWjUqBEVK1Zk8eLFjB07FoDQ0FC6d++Ok5MTR44cITU1la5du1KmTBkAqlevbtTv4OBASkoKnp6exr6FCxfy77//smjRIhwdHQH46KOP6NSpE++++y4lSpS4Y8xHjhzhq6++YuPGjbRu3RqAcuXK3dP1X7x4kcmTJ+Pk5ESDBg24evUqACNGjKBr165GuTfffJMZM2YY+8qWLcuhQ4f47LPP6Nu3L7GxsVSoUIEmTZpgMpmMewEQGxuLp6cnrVu3plChQpQuXZoGDRrkONacxpSZkJAQgoODc9y2iIiIiORtBX6oGNyY43LmzBlWr15N27ZtCQ8Pp06dOkbvx8CBA40ek7///pu1a9fSv39/AGrWrEmrVq2oXr063bt3Z+7cuSQkJNyxvaioKGrWrGkkLQCNGzcmPT2d6Ojou8YbERGBtbU1zZs3v8crhkaNGuHk5ESRIkWIjIxk+fLlFglTvXr1jK8vX75MTEwMAwYMMHqonJycmDJlCjExMcCNRQgiIiKoWLEiw4cPZ8OGDcb53bt35+rVq5QrV45Bgwbx7bffkpqamuOYcxpTZoKCgkhMTDS2m71CIiIiIpK/PRKJC4C9vT1t2rThjTfeYMeOHQQGBvLmm28CN4ZlHT9+nJ07d7JkyRLKli1L06ZNAbC2tmbjxo2sXbuWKlWq8OGHH1KxYkVOnDjxwGK9ObTrv1i+fDmRkZEkJCQQExND+/btLY7fmlTdnHszd+5cIiIijO2PP/7g119/BaBOnTqcOHGCyZMnc/XqVXr06MEzzzwDgI+PD9HR0XzyySc4ODgwdOhQmjVrZkywN5lMmM1mi/Yzm3yf05gyY2dnh4uLi8UmIiIiIvnfI5O43K5KlSpcvnwZuDGRvXPnzoSGhhIWFka/fv0syppMJho3bkxwcDD79u3D1taWb7/9FgBbW1vS0tIsyleuXJnIyEijfoDt27djZWVFxYoV7xpb9erVSU9PZ8uWLfd8fT4+PpQvXx43N7e7li1RogTe3t4cP34cPz8/i61s2bJGORcXF3r27MncuXNZvnw5K1as4MKFC8CNZKtTp07Mnj2b8PBwdu7cyYEDBwDw8PAgLi7OqOfo0aNcuXLlvsQkIiIiIo+GAj/H5fz583Tv3p3+/ftTo0YNnJ2d2bNnD++99x5PP/20UW7gwIF07NiRtLQ0i/kTu3btYvPmzTz55JMUL16cXbt28c8//1C5cmUAfH19Wb9+PdHR0bi7u+Pq6krv3r1588036du3L5MmTeKff/7hlVde4YUXXrjr/Jabdfbt25f+/fsbk/NPnTpFfHw8PXr0uP83CQgODmb48OG4urrStm1bUlJS2LNnDwkJCYwcOZL3338fLy8vateujZWVFV9//TWenp7G6mBpaWk89thjFC5cmCVLluDg4GDMg3niiSf46KOPaNiwIWlpaYwbN45ChQr955hERERE5NFR4BMXJycnHnvsMWbOnElMTAzXr1/Hx8eHQYMG8b///c8o17p1a7y8vKhatSre3t7GfhcXF3755RdmzZpFUlISZcqUYcaMGbRr1w6AQYMGER4eTr169UhOTubnn3+mRYsWrF+/nldffZX69etTuHBhunXrxvvvv5/tuD/99FP+97//MXToUM6fP0/p0qUt4r3fBg4cSOHChZk2bRpjxozB0dGR6tWrG0s0Ozs7895773H06FGsra2pX78+P/74I1ZWVri5uTF16lRGjhxJWloa1atX5/vvv8fd3R2AGTNm0K9fP5o2bYq3tzcffPABe/fu/c8xiYiIiMijw2S+ffLBIyo5OZmSJUsSGhpqsbKV5G9JSUm4urqSmJio+S4iIiIieVB2n9cKfI/L3aSnp3Pu3DlmzJiBm5sbTz31VG6HJCIiIiIit3lkJ+ffFBsbS4kSJfjiiy9YsGABNjZ5O5cbMmSIxfLAt25DhgzJ7fBERERERB4IDRXLZ+Lj47N8G7yLiwvFixd/yBHlbRoqJiJyd+d+23DXMsUaPPkQIhGRR5GGihVQxYsXV3IiIiIiIo+cR36o2H9hMplYtWqV8fnw4cM8/vjj2NvbU6tWrVyLq0WLFlp5S0REREQKFCUudxEYGEjnzp0zPRYXF2csiwzw5ptv4ujoSHR0NJs3b/7PbU+aNClXE6Cb5s6dS82aNXFycsLNzY3atWsTEhKS22GJiIiIyCNEQ8X+A09PT4vPMTExdOjQwXjxYkGwYMECRowYwezZs2nevDkpKSns37+fP/7444G1ee3aNWxtbR9Y/SIiIiKS/6jH5T+4daiYyWRi7969vPXWW5hMJiZNmgTA6dOn6dGjB25ubhQtWpSnn36akydPGnWEh4fToEEDHB0dcXNzo3Hjxpw6dYqwsDCCg4OJjIzEZDJhMpkICwujf//+dOzY0SKO69evU7x4cebPn59pnCkpKYwePZqSJUvi6OjIY489Rnh4eLaucfXq1fTo0YMBAwbg5+dH1apV6dWrF2+//bZFuQULFlC1alXs7Ozw8vJi2LBhxrHY2FiefvppnJyccHFxoUePHvz999/G8Zs9S/PmzaNs2bLY29sDcPHiRQYOHIiHhwcuLi488cQTREZG3jHelJQUkpKSLDYRERERyf+UuNwncXFxVK1alVGjRhEXF8fo0aO5fv06AQEBODs7s3XrVrZv346TkxNt27bl2rVrpKam0rlzZ5o3b87+/fvZuXMngwcPxmQy0bNnT0aNGkXVqlWJi4sjLi6Onj17MnDgQNatW0dcXJzR9po1a7hy5Qo9e/bMNLZhw4axc+dOli1bxv79++nevTtt27bl6NGjd70uT09Pfv31V06dOpVlmU8//ZSXX36ZwYMHc+DAAVavXo2fnx9w4z05Tz/9NBcuXGDLli1s3LiR48ePZ4j12LFjrFixgpUrVxIREQFA9+7diY+PZ+3atezdu5c6derQqlUrLly4kGUsISEhuLq6GpuPj89dr1FERERE8j4NFbtPPD09sbGxwcnJyRhCtmTJEtLT05k3bx4mkwmA0NBQ3NzcCA8Pp169eiQmJtKxY0fKly8PQOXKlY06nZycsLGxsRiS1qhRIypWrMjixYsZO3asUWf37t1xcnLKEFdsbCyhoaHExsbi7e0NwOjRo1m3bh2hoaG88847d7yuN998k65du+Lr64u/vz8NGzakffv2PPPMM1hZ3ch7p0yZwqhRo3j11VeN8+rXrw/A5s2bOXDgACdOnDCSiEWLFlG1alV2795tlLt27RqLFi3Cw8MDgG3btvHbb78RHx+PnZ0dANOnT2fVqlV88803DB48ONN4g4KCGDlypPE5KSlJyYuIiIhIAaAelwcoMjKSY8eO4ezsbLwksmjRovz777/ExMRQtGhRAgMDCQgIoFOnTnzwwQcWPSlZGThwIKGhoQD8/fffrF27lv79+2da9sCBA6SlpeHv72/xssotW7YQExNz17a8vLzYuXMnBw4c4NVXXyU1NZW+ffvStm1b0tPTiY+P58yZM7Rq1SrT86OiovDx8bFIHqpUqYKbmxtRUVHGvjJlyhhJy817l5ycjLu7u0XcJ06cuGPcdnZ2uLi4WGwiIiIikv+px+UBSk5Opm7duixdujTDsZsP6aGhoQwfPpx169axfPlyJkyYwMaNG3n88cezrLdPnz6MHz+enTt3smPHDsqWLUvTpk2zjMHa2pq9e/dibW1tcSyzHpqsVKtWjWrVqjF06FCGDBlC06ZN2bJlC/Xq1ct2HXfi6OiYIW4vL69M5+K4ubndlzZFREREJP9Q4vIA1alTh+XLl1O8ePE7/uW/du3a1K5dm6CgIBo2bMgXX3zB448/jq2tLWlpaRnKu7u707lzZ0JDQ9m5cyf9+vW7Y91paWnEx8dnmdzkVJUqVQC4fPkyzs7O+Pr6snnzZlq2bJmhbOXKlTl9+jSnT582el0OHTrExYsXjXoyU6dOHc6ePYuNjQ2+vr73JW4RERERyb+UuGRDYmKiMWH8Jnd397ue17t3b6ZNm8bTTz/NW2+9RalSpTh16hQrV65k7NixXL9+nc8//5ynnnoKb29voqOjOXr0KH369AHA19eXEydOEBERQalSpXB2djbmewwcOJCOHTuSlpZG3759s4zB39+f3r1706dPH2bMmEHt2rX5559/2Lx5MzVq1KBDhw53vIaXXnoJb29vnnjiCUqVKkVcXBxTpkzBw8ODhg0bAjdWBRsyZAjFixenXbt2XLp0ie3bt/PKK6/QunVrqlevTu/evZk1axapqakMHTqU5s2b37G3pnXr1jRs2JDOnTvz3nvv4e/vz5kzZ/jhhx/o0qXLfevpEREREZH8QYlLNoSHh1O7dm2LfQMGDLjreYULF+aXX35h3LhxdO3alUuXLlGyZElatWqFi4sLV69e5fDhwyxcuJDz58/j5eXFyy+/zIsvvghAt27dWLlyJS1btuTixYuEhoYSGBgI3Hiw9/LyomrVqsak+6yEhoYaE+j/+usvihUrxuOPP55hWeXMtG7dmgULFvDpp59y/vx5ihUrRsOGDdm8ebORvPXt25d///2XmTNnMnr0aIoVK8YzzzwD3Fgm+rvvvuOVV16hWbNmWFlZ0bZtWz788MM7tmsymfjxxx95/fXX6devH//88w+enp40a9aMEiVK3DVuERERESlYTGaz2ZzbQUjOJScnU7JkSUJDQ+natWtuh5NnJSUl4erqSmJioibqi4iIiORB2X1eU49LPpOens65c+eYMWMGbm5uPPXUU7kdkoiIiIjIA6flkPOZ2NhYSpQowRdffMGCBQuwsflvuWe7du0slhu+dbvbO15ERERERB4W9bjkM76+vtzP0X3z5s3j6tWrmR4rWrTofWtHRETyrvNbVmS63715t4cciYhI1pS4POJKliz50NsMDAzk4sWLrFq16qG3LSIiIiL5k4aKiYiIiIhInqfERfIds9lMampqbochIiIiIg+REpdH2KVLl+jduzeOjo54eXkxc+ZMWrRowYgRIwBISUlh9OjRlCxZEkdHRx577DHCw8ON88PCwnBzc2P9+vVUrlwZJycn2rZtS1xcnFEmLS2NkSNH4ubmhru7O2PHjs0wRyc9PZ2QkBDKli2Lg4MDNWvW5JtvvjGOh4eHYzKZWLt2LXXr1sXOzo5t27Y90HsjIiIiInmLEpdH2MiRI9m+fTurV69m48aNbN26ld9//904PmzYMHbu3MmyZcvYv38/3bt3p23bthw9etQoc+XKFaZPn87ixYv55ZdfiI2NZfTo0cbxGTNmEBYWxoIFC9i2bRsXLlzg22+/tYgjJCSERYsWMWfOHA4ePMhrr73G888/z5YtWyzKjR8/nqlTpxIVFUWNGjUyvaaUlBSSkpIsNhERERHJ/zQ5/xF16dIlFi5cyBdffEGrVq0ACA0NxdvbG7ix7HJoaCixsbHGvtGjR7Nu3TpCQ0ONpZKvX7/OnDlzKF++PHAj2XnrrbeMdmbNmkVQUJDxksw5c+awfv1643hKSgrvvPMOmzZtomHDhgCUK1eObdu28dlnn9G8eXOj7FtvvUWbNm3ueF0hISEEBwf/p3sjIiIiInmPEpdH1PHjx7l+/ToNGjQw9rm6ulKxYkUADhw4QFpaGv7+/hbnpaSk4O7ubnwuXLiwkbQAeHl5ER8fD0BiYiJxcXE89thjxnEbGxvq1atnDBc7duwYV65cyZCQXLt2jdq1a1vsq1ev3l2vKygoiJEjRxqfk5KS8PHxuet5IiIiIpK3KXGRTCUnJ2Ntbc3evXuxtra2OObk5GR8XahQIYtjJpMpR++ZSU5OBuCHH37IsDSznZ2dxWdHR8e71mdnZ5fhPBERERHJ/5S4PKLKlStHoUKF2L17N6VLlwZu9JAcOXKEZs2aUbt2bdLS0oiPj6dp06b31IarqyteXl7s2rWLZs2aAZCamsrevXupU6cOAFWqVMHOzo7Y2FiLYWEiIiIiIrdS4vKIcnZ2pm/fvowZM4aiRYtSvHhx3nzzTaysrDCZTPj7+9O7d2/69OnDjBkzqF27Nv/88w+bN2+mRo0adOjQIVvtvPrqq0ydOpUKFSpQqVIl3n//fS5evGgRx+jRo3nttddIT0+nSZMmJCYmsn37dlxcXOjbt+8DugMiIiIikp8ocXmEvf/++wwZMoSOHTvi4uLC2LFjOX36NPb29sCNyfpTpkxh1KhR/PXXXxQrVozHH3+cjh07ZruNUaNGERcXR9++fbGysqJ///506dKFxMREo8zkyZPx8PAgJCSE48eP4+bmRp06dfjf//53369ZRERERPInkzknExKkQLt8+TIlS5ZkxowZDBgwILfDuS+SkpJwdXUlMTERFxeX3A5HRERERG6T3ec19bg8wvbt28fhw4dp0KABiYmJxjLGTz/9dC5HJiIiIiJiSYnLI2769OlER0dja2tL3bp12bp1K8WKFcvtsERERERELChxeYTVrl2bvXv35nYYIiKSy/75IdT42qNDv1yMREQka1a5HYDITS1atGDEiBFZHvf19WXWrFkPLR4RERERyTvU4yJ5xsqVKzO80FJEREREBJS4SB5StGjR3A5BRERERPIoDRWTPOPWoWLx8fF06tQJBwcHypYty9KlS3M3OBERERHJVepxkTwpMDCQM2fO8PPPP1OoUCGGDx9OfHz8Xc9LSUkhJSXF+JyUlPQgwxQRERGRh0SJi+Q5R44cYe3atfz222/Ur18fgPnz51O5cuW7nhsSEkJwcPCDDlFEREREHjINFZM8JyoqChsbG+rWrWvsq1SpEm5ubnc9NygoiMTERGM7ffr0A4xURERERB4W9bhIgWJnZ4ednV1uhyEiIiIi95l6XCTPqVSpEqmpqRYvx4yOjubixYu5F5SIiIiI5ColLpLnVKxYkbZt2/Liiy+ya9cu9u7dy8CBA3FwcMjt0EREREQklyhxkTwpNDQUb29vmjdvTteuXRk8eDDFixfP7bBEREREJJeYzGazObeDEHlQkpKScHV1JTExERcXl9wOR0RERERuk93nNfW4iIiIiIhInqfERURERERE8jwlLiIiIo+os8s+4OyyD3I7DBGRbFHiIiIiIiIieV6+Tlx8fX2ZNWtWboch90mLFi0YMWJEbochIiIiInlQriYugYGBmEwmTCYTtra2+Pn58dZbb5GampqbYWUQHh5uxGkymShRogTdunXj+PHjuR3aQ3Xy5EmL+1C0aFGaN2/O1q1bc1TPzft5+wslV65cyeTJk+9jxCIiIiJSUOR6j0vbtm2Ji4vj6NGjjBo1ikmTJjFt2rTcDitT0dHRnDlzhq+//pqDBw/SqVMn0tLSMpQzm815Lvm6nzFt2rSJuLg4fvnlF7y9venYsSN///33f663aNGiODs734cIRURERKSgyfXExc7ODk9PT8qUKcNLL71E69atWb16dabDhjp37kxgYGCm9ZjNZiZNmkTp0qWxs7PD29ub4cOHG8dTUlIYPXo0JUuWxNHRkccee4zw8PAcxVq8eHG8vLxo1qwZEydO5NChQxw7dszoQVi7di1169bFzs6Obdu2kZ6eTkhICGXLlsXBwYGaNWvyzTffGPUlJCTQu3dvPDw8cHBwoEKFCoSGhgJw7do1hg0bhpeXF/b29pQpU4aQkBDg/3o+IiIijLouXryIyWQyruleY8oOd3d3PD09qVatGv/73/9ISkpi165dxvHFixdTr149nJ2d8fT05LnnniM+Pt6IvWXLlgAUKVIEk8lkfE9v/54nJCTQp08fihQpQuHChWnXrh1Hjx7NUawiIiIiUjDY5HYAt3NwcOD8+fPY2dnl6LwVK1Ywc+ZMli1bRtWqVTl79iyRkZHG8WHDhnHo0CGWLVuGt7c33377LW3btuXAgQNUqFDhnuKEGwnGTePHj2f69OmUK1eOIkWKEBISwpIlS5gzZw4VKlTgl19+4fnnn8fDw4PmzZvzxhtvcOjQIdauXUuxYsU4duwYV69eBWD27NmsXr2ar776itKlS3P69GlOnz6d4zhzGlNOXL16lUWLFgFga2tr7L9+/TqTJ0+mYsWKxMfHM3LkSAIDA/nxxx/x8fFhxYoVdOvWjejoaFxcXIx7ebvAwECOHj3K6tWrcXFxYdy4cbRv355Dhw5RqFChTM9JSUkhJSXF+JyUlJSjaxIRERGRvCnPJC5ms5nNmzezfv16XnnlFXbv3p2j82NjY/H09KR169YUKlSI0qVL06BBA+NYaGgosbGxeHt7AzB69GjWrVtHaGgo77zzTo7aiouLY/r06ZQsWZKKFSuyY8cOAN566y3atGkD3HiAfuedd9i0aRMNGzYEoFy5cmzbto3PPvuM5s2bExsbS+3atalXrx5wY7GBW6+nQoUKNGnSBJPJRJkyZXIU4005jSk7GjVqhJWVFVeuXMFsNlO3bl1atWplHO/fv7/xdbly5Zg9ezb169cnOTkZJycnihYtCtzowXJzc8u0jZsJy/bt22nUqBEAS5cuxcfHh1WrVtG9e/dMzwsJCSE4ODhb1yEiIiIi+UeuDxVbs2YNTk5O2Nvb065dO3r27MmkSZNyXE/37t25evUq5cqVY9CgQXz77bfGnI4DBw6QlpaGv78/Tk5OxrZlyxZiYmKy3UapUqVwdHTE29uby5cvs2LFCouehpsJCMCxY8e4cuUKbdq0sWhz0aJFRpsvvfQSy5Yto1atWowdO9ZIgOBGb0NERAQVK1Zk+PDhbNiwIcf35F5iyo7ly5ezb98+VqxYgZ+fH2FhYRY9IHv37qVTp06ULl0aZ2dnIyGKjY3NdhtRUVHY2Njw2GOPGfvc3d2pWLEiUVFRWZ4XFBREYmKisd1LL5WIiIiI5D253uPSsmVLPv30U2xtbfH29sbG5kZIVlZWmM1mi7LXr1/Psh4fH5//1969x9WU9X8A/5zT5XRzuomKFEpCUW5D7jHFoNwnIca4zCDXQW6Fxz1jxvB4MBSGyTBug3HLPSbXEpomPbkMEaLEo9tZvz+87J+jMpXSKZ/367Vfr85aa6/93XuF87X2Xhvx8fE4cuQIDh8+jK+//hpLlizBiRMnkJGRAS0tLVy8eBFaWlpq+xkZGRU61lOnTkGpVKJKlSr5PkRuaGgo/ZyRkQEA2LdvH6pVq6bW7vVtcJ07d8atW7ewf/9+HD58GB4eHhg1ahRCQkLg5uaGpKQk/P777zhy5Aj69u2Ljh07Yvv27ZDLX+Wbb16fgq5NUWMqDBsbGzg4OMDBwQE5OTno0aMHrl69CoVCgefPn8PT0xOenp7YvHkzLCwscPv2bXh6eqrdVldaFApFkW8zJCIiIiLNV+YzLoaGhrC3t0eNGjWkpAUALCwskJycLH3Ozc3F1atX39mXvr4+unXrhuXLl+P48eM4e/YsYmNj4erqitzcXKSkpMDe3l5ts7S0LHSsNWvWRO3atQu18lW9evWgUChw+/btPMe0sbFRO09/f3/89NNP+O6777BmzRqpTqlUol+/fli7di22bt2KX3/9FampqbCwsAAAtevz5oP67xtTUfTu3Rva2tr497//DQD4888/8fjxYyxcuBCtW7dG3bp1pQfzX3s9S5XfimyvOTk5IScnR+2h/8ePHyM+Ph716tUrVqxEREREVH6V+YxLQTp06IAJEyZg3759qF27Nr799ts87/14U1hYGHJzc9G8eXMYGBjgp59+gr6+PmxtbWFubg4/Pz8MGjQIS5cuhaurKx4+fIiIiAi4uLjgs88+K/H4K1WqhEmTJmH8+PFQqVRo1aoV0tLSEBkZCaVSCX9/f8yaNQuNGzdG/fr1kZmZib1798LJyQkA8O2338LKygqurq6Qy+XYtm0bLC0tYWJiArlcjk8++QQLFy5EzZo1kZKSghkzZpRITEUlk8kQEBCA4OBgjBgxAjVq1ICuri5++OEHjBw5ElevXs3zbhZbW1vIZDLs3bsXXbp0gb6+fp6ZLwcHB3h7e2PYsGFYvXo1KlWqhKlTp6JatWrw9vYucpxEREREVL6V+YxLQb744gv4+/tj0KBBaNu2LWrVqiUto5sfExMTrF27Fu7u7nBxccGRI0fw22+/wdzcHAAQGhqKQYMGYeLEiXB0dISPjw/Onz+PGjVqlNo5zJ07FzNnzsSCBQvg5OQELy8v7Nu3DzVr1gTwauYhMDAQLi4uaNOmDbS0tBAeHg7gVZKxePFiNGnSBE2bNsXNmzexf/9+6Tax9evXIycnB40bN8a4cePwr3/9q0RiKg5/f39kZ2djxYoVsLCwQFhYGLZt24Z69eph4cKFCAkJUWtfrVo1zJ49G1OnTkXVqlUxevTofPsNDQ1F48aN0bVrV7Ro0QJCCOzfv7/AFcWIiIiIqOKSibcfJCGqQNLT02FsbIy0tDQolcqyDoeIiIiI3lLY72saO+NCRERERET0GhMXvFrd683lgd/civqOl/Js5MiRBV6HkSNHlnV4RERERPQR461iAO7evSu9sf5tZmZm0gsTK7qUlJQC3zT/ehno8oa3ihER5XVnrfpzkTbD/nmBFyKi0lLY72sau6rYh/T2O00+VlWqVCnV5OTmzZuoWbMmLl++jEaNGpXacYiIiIio4uGtYkREREREpPGYuBARERERkcZj4kIl6sCBA2jVqhVMTExgbm6Orl27IjExscD2165dQ9euXaFUKlGpUiW0bt1aaq9SqTBnzhxUr14dCoUCjRo1woEDBz7UqRARERGRBmHiQiXq+fPnmDBhAi5cuICIiAjI5XL06NEDKpUqT9u7d++iTZs2UCgUOHr0KC5evIgvvvgCOTk5AIDvv/8eS5cuRUhICK5cuQJPT090794dCQkJBR4/MzMT6enpahsRERERlX9cVYxK1aNHj2BhYYHY2FgYGRmpPZw/bdo0hIeHIz4+Hjo6Onn2rVatGkaNGoVp06ZJZc2aNUPTpk2xcuXKfI8XHByM2bNn5ynnqmJERP+Pq4oRkSbhCyipTCQkJMDX1xe1atWCUqmEnZ0dAOD27dt52kZHR6N169b5Ji3p6em4d+8e3N3d1crd3d0RFxdX4PEDAwORlpYmbXfu3Hm/EyIiIiIijcDlkKlEdevWDba2tli7di2sra2hUqnQoEEDZGVl5Wmrr69f4sdXKBRQKBQl3i8RERERlS3OuFCJefz4MeLj4zFjxgx4eHjAyckJT548KbC9i4sLTp06hezs7Dx1SqUS1tbWiIyMVCuPjIxEvXr1Sjx2IiIiItJsTFyoxJiamsLc3Bxr1qzBjRs3cPToUUyYMKHA9qNHj0Z6ejo+//xzXLhwAQkJCdi0aRPi4+MBAN988w0WLVqErVu3Ij4+HlOnTkV0dDTGjh37oU6JiIiIiDQEbxWjEiOXyxEeHo6AgAA0aNAAjo6OWL58Odq1a5dve3Nzcxw9ehTffPMN2rZtCy0tLTRq1Eh6riUgIABpaWmYOHEiUlJSUK9ePezZswcODg4f8KyIiIiISBNwVTGq0Aq7SgURERERlQ2uKkZERERERBUGExciIiIiItJ4fMaFiIjoI3EjZEq+5faTFn3gSIiIio4zLkREREREpPGYuJCadu3aYdy4ccXePzg4GI0aNfqgxyQiIiKiio+JC5WoSZMmISIiosT7lclk2LVrV4n3S0RERETlA59xoRJlZGQEIyOjsg6DiIiIiCoYzrhQHiqVCpMnT4aZmRksLS0RHBws1T19+hRffvklLCwsoFQq0aFDB8TExEj1b98qlpOTg4CAAJiYmMDc3BxTpkyBv78/fHx8Cn1MOzs7AECPHj0gk8mkz/nJzMxEenq62kZERERE5R8TF8pjw4YNMDQ0RFRUFBYvXow5c+bg8OHDAIA+ffogJSUFv//+Oy5evAg3Nzd4eHggNTU1374WLVqEzZs3IzQ0FJGRkUhPT8/3lq93HfP8+fMAgNDQUCQnJ0uf87NgwQIYGxtLm42NzXteDSIiIiLSBExcKA8XFxcEBQXBwcEBgwYNQpMmTRAREYHTp0/j3Llz2LZtG5o0aQIHBweEhITAxMQE27dvz7evH374AYGBgejRowfq1q2LFStWwMTEpNDHBAALCwsAgImJCSwtLaXP+QkMDERaWpq03blz5/0vCBERERGVOT7jQnm4uLiofbayskJKSgpiYmKQkZEBc3Nztfr//e9/SExMzNNPWloaHjx4gGbNmkllWlpaaNy4MVQqVaGOWVQKhQIKhaLI+xERERGRZmPiQnno6OiofZbJZFCpVMjIyICVlRWOHz+eZ5/8ZlFK4phERERERAATFyoCNzc33L9/H9ra2u98QP41Y2NjVK1aFefPn0ebNm0AALm5ubh06VKR3/Wio6OD3NzcYkRNRERERBUBn3GhQuvYsSNatGgBHx8fHDp0CDdv3sSZM2cwffp0XLhwId99xowZgwULFmD37t2Ij4/H2LFj8eTJE8hksiId287ODhEREbh//z6ePHlSEqdDREREROUIExcqNJlMhv3796NNmzYYMmQI6tSpg88//xy3bt1C1apV891nypQp8PX1xaBBg9CiRQsYGRnB09MTenp6RTr20qVLcfjwYdjY2MDV1bUkToeIiIiIyhGZEEKUdRD08VCpVHByckLfvn0xd+7cUj9eeno6jI2NkZaWBqVSWerHIyIiIqKiKez3NT7jQqXq1q1bOHToENq2bYvMzEysWLECSUlJ6N+/f1mHRkRERETlCG8Vo1Ill8sRFhaGpk2bwt3dHbGxsThy5AicnJzKOjQiIiIiKkc440KlysbGBpGRkWUdBhHRR+vq9K/+sU2Deas+QCRERO+HMy5UZgYPHgwfH5+yDoOIiIiIygEmLkREREREpPGYuBARERERkcZj4kKS7du3w9nZGfr6+jA3N0fHjh3x/Plz6Zau+fPno2rVqjAxMcGcOXOQk5ODb775BmZmZqhevTpCQ0PV+ouNjUWHDh2k/oYPH46MjIwCj3/+/HlYWFhg0aJFAICnT5/iyy+/hIWFBZRKJTp06ICYmJhSvQZEREREpJmYuBAAIDk5Gb6+vvjiiy8QFxeH48ePo2fPnnj9mp+jR4/i3r17OHnyJL799lsEBQWha9euMDU1RVRUFEaOHIkRI0bg77//BgA8f/4cnp6eMDU1xfnz57Ft2zYcOXIEo0ePzvf4R48eRadOnTBv3jxMmTIFANCnTx+kpKTg999/x8WLF+Hm5gYPDw+kpqYWeB6ZmZlIT09X24iIiIio/GPiQgBeJS45OTno2bMn7Ozs4OzsjK+//hpGRkYAADMzMyxfvhyOjo744osv4OjoiBcvXmDatGlwcHBAYGAgdHV1cfr0aQDAli1b8PLlS2zcuBENGjRAhw4dsGLFCmzatAkPHjxQO/bOnTvh7e2N1atXY/jw4QCA06dP49y5c9i2bRuaNGkCBwcHhISEwMTEBNu3by/wPBYsWABjY2Nps7GxKaUrRkREREQfEhMXAgA0bNgQHh4ecHZ2Rp8+fbB27Vo8efJEqq9fvz7k8v//dalatSqcnZ2lz1paWjA3N0dKSgoAIC4uDg0bNoShoaHUxt3dHSqVCvHx8VJZVFQU+vTpg02bNqFfv35SeUxMDDIyMmBubg4jIyNpS0pKQmJiYoHnERgYiLS0NGm7c+fO+10YIiIiItIIfI8LAXiVeBw+fBhnzpzBoUOH8MMPP2D69OmIiooCAOjo6Ki1l8lk+ZapVKoiHbd27dowNzfH+vXr8dlnn0l9ZmRkwMrKCsePH8+zj4mJSYH9KRQKKBSKIsVARERERJqPMy4kkclkcHd3x+zZs3H58mXo6upi586dxerLyckJMTExeP78uVQWGRkJuVwOR0dHqaxy5co4evQobty4gb59+yI7OxsA4Obmhvv370NbWxv29vZqW+XKld/vRImIiIio3GHiQgBe3bI1f/58XLhwAbdv38aOHTvw8OFDODk5Fas/Pz8/6Onpwd/fH1evXsWxY8cwZswYDBw4EFWrVlVrW6VKFRw9ehR//vknfH19kZOTg44dO6JFixbw8fHBoUOHcPPmTZw5cwbTp0/HhQsXSuKUiYiIiKgcYeJCAAClUomTJ0+iS5cuqFOnDmbMmIGlS5eic+fOxerPwMAABw8eRGpqKpo2bYrevXvDw8MDK1asyLe9paUljh49itjYWPj5+UGlUmH//v1o06YNhgwZgjp16uDzzz/HrVu38iQ+RERERFTxycTr9W6JKqD09HQYGxsjLS0NSqWyrMMhIiIiorcU9vsaZ1yIiIiIiEjjMXEhIiIiIiKNx+WQiYiIKqCorwYUum3zVT+VYiRERCWDMy6lQCaTYdeuXWUdRh6DBw+Gj4+PRvUXFham9l6W4OBgNGrU6L36JCIiIqKKp0InLg8fPsRXX32FGjVqQKFQwNLSEp6enoiMjCzr0ErNiBEjoKWlhW3btpV1KMUyadIkRERElHUYRERERKRhKvStYr169UJWVhY2bNiAWrVq4cGDB4iIiMDjx4/LOrQiycrKgq6u7j+2e/HiBcLDwzF58mSsX78effr0+QDRlSwjIyMYGRmVdRhEREREpGEq7IzL06dPcerUKSxatAjt27eHra0tmjVrhsDAQHTv3h3Aq1u6Vq9eja5du8LAwABOTk44e/Ysbty4gXbt2sHQ0BAtW7ZEYmKiWt+rVq1C7dq1oaurC0dHR2zatOmdsQQFBcHKygpXrlwBAJw+fRqtW7eGvr4+bGxsEBAQoPaGeTs7O8ydOxeDBg2CUqnE8OHDC3XO27ZtQ7169TB16lScPHkSd+7ceWd7lUqFxYsXw97eHgqFAjVq1MC8efOk+tjYWHTo0AH6+vowNzfH8OHDkZGRkaefkJAQWFlZwdzcHKNGjUJ2drZU9+TJEwwaNAimpqYwMDBA586dkZCQUGBM+d0qtn79etSvXx8KhQJWVlYYPXp0oa4HEREREVUcFTZxef0/97t27UJmZmaB7V4nCNHR0ahbty769++PESNGIDAwEBcuXIAQQu2L8s6dOzF27FhMnDgRV69exYgRIzBkyBAcO3YsT99CCIwZMwYbN27EqVOn4OLigsTERHh5eaFXr164cuUKtm7ditOnT+f5Mh4SEoKGDRvi8uXLmDlzZqHOed26dRgwYACMjY3RuXNnhIWFvbN9YGAgFi5ciJkzZ+L69evYsmWL9HLH58+fw9PTE6ampjh//jy2bduGI0eO5Inz2LFjSExMxLFjx7BhwwaEhYWpHXfw4MG4cOEC9uzZg7Nnz0IIgS5duqglN++yatUqjBo1CsOHD0dsbCz27NkDe3v7AttnZmYiPT1dbSMiIiKiCkBUYNu3bxempqZCT09PtGzZUgQGBoqYmBipHoCYMWOG9Pns2bMCgFi3bp1U9vPPPws9PT3pc8uWLcWwYcPUjtOnTx/RpUsXtX63bdsm+vfvL5ycnMTff/8t1Q0dOlQMHz5cbf9Tp04JuVwu/ve//wkhhLC1tRU+Pj5FOte//vpL6OjoiIcPHwohhNi5c6eoWbOmUKlUUht/f3/h7e0thBAiPT1dKBQKsXbt2nz7W7NmjTA1NRUZGRlS2b59+4RcLhf379+X+rO1tRU5OTlq16Jfv35STABEZGSkVP/o0SOhr68vfvnlFyGEEKGhocLY2FiqDwoKEg0bNpQ+W1tbi+nTpxf6OgQFBQkAeba0tLRC90FEVBH8MdKv0BsRUVlKS0sr1Pe1CjvjArx6xuXevXvYs2cPvLy8cPz4cbi5uanNCLi4uEg/v55tcHZ2Vit7+fKl9D/3cXFxcHd3VzuOu7s74uLi1MrGjx+PqKgonDx5EtWqVZPKY2JiEBYWJs0IGRkZwdPTEyqVCklJSVK7Jk2aFOlc169fD09PT1SuXBkA0KVLF6SlpeHo0aP5to+Li0NmZiY8PDwKrG/YsCEMDQ3VzlOlUiE+Pl4qq1+/PrS0tKTPVlZWSElJkfrQ1tZG8+bNpXpzc3M4OjrmuV75SUlJwb179wqMMT+BgYFIS0uTtn+6XY6IiIiIyocKnbgAgJ6eHjp16oSZM2fizJkzGDx4MIKCgqR6HR0d6WeZTFZgmUqlKtJxO3XqhLt37+LgwYNq5RkZGRgxYgSio6OlLSYmBgkJCahdu7bU7s2E4Z/k5uZiw4YN2LdvH7S1taGtrQ0DAwOkpqZi/fr1+e6jr69fpPMpyJvXCnh1vYp6rQpSnBgVCgWUSqXaRkRERETlX4VPXN5Wr149tQfhi8rJySnPcsqRkZGoV6+eWln37t2xZcsWfPnllwgPD5fK3dzccP36ddjb2+fZCrNyWH7279+PZ8+e4fLly2oJ0c8//4wdO3bg6dOnefZxcHCAvr5+gUsPOzk5ISYmRu1aRUZGQi6Xw9HRsVBxOTk5IScnB1FRUVLZ48ePER8fn+d65adSpUqws7Pj8shEREREVHETl8ePH6NDhw746aefcOXKFSQlJWHbtm1YvHgxvL29i93vN998g7CwMKxatQoJCQn49ttvsWPHDkyaNClP2x49emDTpk0YMmQItm/fDgCYMmUKzpw5g9GjRyM6OhoJCQnYvXv3e62UtW7dOnz22Wdo2LAhGjRoIG19+/aFiYkJNm/enGcfPT09TJkyBZMnT8bGjRuRmJiIP/74A+vWrQMA+Pn5QU9PD/7+/rh69SqOHTuGMWPGYODAgdItdf/EwcEB3t7eGDZsGE6fPo2YmBgMGDAA1apVK/QYBAcHY+nSpVi+fDkSEhJw6dIl/PDDD4W/OERERERUIVTY97gYGRmhefPmWLZsGRITE5GdnQ0bGxsMGzYM06ZNK3a/Pj4++P777xESEoKxY8eiZs2aCA0NRbt27fJt37t3b6hUKgwcOBByuRw9e/bEiRMnMH36dLRu3RpCCNSuXRv9+vUrVjwPHjzAvn37sGXLljx1crkcPXr0wLp16zBq1Kg89TNnzoS2tjZmzZqFe/fuwcrKCiNHjgQAGBgY4ODBgxg7diyaNm0KAwMD9OrVC99++22R4gsNDcXYsWPRtWtXZGVloU2bNti/f3+eW8wK4u/vj5cvX2LZsmWYNGkSKleujN69excpBiIiIiIq/2RCCFHWQRCVlvT0dBgbGyMtLY3PuxARERFpoMJ+X6uwt4oREREREVHFwcSlHJg/f77a8slvbp07dy7r8IiIiIiISh1vFSsHUlNTkZqamm+dvr6+2ntiSB1vFSOiiiSib/EXl3kXj192l0q/RESFUdjvaxX24fyKxMzMDGZmZmUdBhERERFRmeGtYvTByGQy7Nq1q6zDICIiIqJyiIkLlbjg4GA0atQoT3lycjKfySEiIiKiYuGtYvTBWFpalnUIRERERFROccaF8nXgwAG0atUKJiYmMDc3R9euXZGYmCjV//333/D19YWZmRkMDQ3RpEkTREVFISwsDLNnz0ZMTAxkMhlkMhnCwsIAqN8q1rJlS0yZMkXtmA8fPoSOjg5OnjwJAMjMzMSkSZNQrVo1GBoaonnz5jh+/PiHOH0iIiIi0jBMXChfz58/x4QJE3DhwgVERERALpejR48eUKlUyMjIQNu2bXH37l3s2bMHMTExmDx5MlQqFfr164eJEyeifv36SE5ORnJyMvr165enfz8/P4SHh+PNRe22bt0Ka2trtG7dGgAwevRonD17FuHh4bhy5Qr69OkDLy8vJCQkFBh3ZmYm0tPT1TYiIiIiKv94qxjlq1evXmqf169fDwsLC1y/fh1nzpzBw4cPcf78eWm1M3t7e6mtkZERtLW133lrWN++fTFu3DicPn1aSlS2bNkCX19fyGQy3L59G6Ghobh9+zasra0BAJMmTcKBAwcQGhqK+fPn59vvggULMHv27Pc6dyIiIiLSPJxxoXwlJCTA19cXtWrVglKphJ2dHQDg9u3biI6Ohqur63st0WxhYYFPP/0UmzdvBgAkJSXh7Nmz8PPzAwDExsYiNzcXderUUXvh5okTJ9RuWXtbYGAg0tLSpO3OnTvFjpGIiIiINAdnXChf3bp1g62tLdauXQtra2uoVCo0aNAAWVlZ0NfXL5Fj+Pn5ISAgAD/88AO2bNkCZ2dnODs7AwAyMjKgpaWFixcvQktLS20/IyOjAvtUKBRQKBQlEh8RERERaQ7OuFAejx8/Rnx8PGbMmAEPDw84OTnhyZMnUr2Liwuio6ORmpqa7/66urrIzc39x+N4e3vj5cuXOHDgALZs2SLNtgCAq6srcnNzkZKSAnt7e7WNq5MRERERfXyYuFAepqamMDc3x5o1a3Djxg0cPXoUEyZMkOp9fX1haWkJHx8fREZG4r///S9+/fVXnD17FgBgZ2eHpKQkREdH49GjR8jMzMz3OIaGhvDx8cHMmTMRFxcHX19fqa5OnTrw8/PDoEGDsGPHDiQlJeHcuXNYsGAB9u3bV7oXgIiIiIg0DhMXykMulyM8PBwXL15EgwYNMH78eCxZskSq19XVxaFDh1ClShV06dIFzs7OWLhwoXRLV69eveDl5YX27dvDwsICP//8c4HH8vPzQ0xMDFq3bo0aNWqo1YWGhmLQoEGYOHEiHB0d4ePjg/Pnz+dpR0REREQVn0y8uR4tUQWTnp4OY2NjpKWlQalUlnU4RERERPSWwn5f44wLERERERFpPCYuRERERESk8bgcMlEJ29XWo6xDICIqEp8TEWUdAhHRP+KMSwU2ePBg+Pj4lHUYJeb48eOQyWR4+vRpWYdCRERERB8YE5cSNnjwYMhkMshkMujq6sLe3h5z5sxBTk7Oe/VZnATk+++/R1hYWLGP+zY7Ozt89913JdYfEREREVFh8VaxUuDl5YXQ0FBkZmZi//79GDVqFHR0dBAYGKjWLisrC7q6uqUWh7Gxcan1TURERET0IXHGpRQoFApYWlrC1tYWX331FTp27Ig9e/ZIMyfz5s2DtbU1HB0dAQCxsbHo0KED9PX1YW5ujuHDhyMjIwMAEBwcjA0bNmD37t3STM7x48cBAHfu3EHfvn1hYmICMzMzeHt74+bNm1Icb8/UtGvXDgEBAZg8eTLMzMxgaWmJ4ODgEjvv3bt3w83NDXp6eqhVqxZmz54tzTT1798f/fr1U2ufnZ2NypUrY+PGjQAAlUqFBQsWoGbNmtDX10fDhg2xffv2EouPiIiIiMovJi4fgL6+PrKysgAAERERiI+Px+HDh7F37148f/4cnp6eMDU1xfnz57Ft2zYcOXIEo0ePBgBMmjQJffv2hZeXF5KTk5GcnIyWLVsiOzsbnp6eqFSpEk6dOoXIyEgYGRnBy8tLOlZ+NmzYAENDQ0RFRWHx4sWYM2cODh8+/N7neOrUKQwaNAhjx47F9evXsXr1aoSFhWHevHkAXr1o8rfffpMSMgA4ePAgXrx4gR49egAAFixYgI0bN+I///kPrl27hvHjx2PAgAE4ceJEoePIzMxEenq62kZERERE5R8Tl1IkhMCRI0dw8OBBdOjQAQBgaGiIH3/8EfXr10f9+vWxZcsWvHz5Ehs3bkSDBg3QoUMHrFixAps2bcKDBw9gZGQEfX19aRbH0tISurq62Lp1K1QqFX788Uc4OzvDyckJoaGhuH37tjQjkx8XFxcEBQXBwcEBgwYNQpMmTRAR8f6rycyePRtTp06Fv78/atWqhU6dOmHu3LlYvXo1AMDT0xOGhobYuXOntM+WLVvQvXt3VKpUCZmZmZg/fz7Wr18PT09P1KpVC4MHD8aAAQOkPgpjwYIFMDY2ljYbG5v3PjciIiIiKnt8xqUU7N27F0ZGRsjOzoZKpUL//v0RHByMUaNGwdnZWe25lri4ODRs2BCGhoZSmbu7O1QqFeLj41G1atV8jxETE4MbN26gUqVKauUvX75EYmJigbG5uLiofbayskJKSkpxTjNPPJGRkdIMCwDk5ubi5cuXePHiBQwMDNC3b19s3rwZAwcOxPPnz7F7926Eh4cDAG7cuIEXL16gU6dOav1mZWXB1dW10HEEBgZiwoQJ0uf09HQmL0REREQVABOXUtC+fXusWrUKurq6sLa2hrb2/1/mNxOU95GRkYHGjRtj8+bNeeosLCwK3E9HR0fts0wmg0qlKpF4Zs+ejZ49e+ap09PTA/DqdrG2bdsiJSUFhw8fhr6+Pry8vKT9AWDfvn2oVq2a2v4KhaLQcSgUiiK1JyIiIqLygYlLKTA0NIS9vX2h2jo5OSEsLAzPnz+XkprIyEjI5XLp4X1dXV3k5uaq7efm5oatW7eiSpUqUCqVJXsCxeDm5ob4+Ph3nnfLli1hY2ODrVu34vfff0efPn2kRKpevXpQKBS4ffs22rZt+6HCJiIiIqJygolLGfPz80NQUBD8/f0RHByMhw8fYsyYMRg4cKB0m5idnR0OHjyI+Ph4mJubw9jYGH5+fliyZAm8vb0xZ84cVK9eHbdu3cKOHTswefJkVK9evVTivXv3LqKjo9XKbG1tMWvWLHTt2hU1atRA7969IZfLERMTg6tXr+Jf//qX1LZ///74z3/+g7/++gvHjh2TyitVqoRJkyZh/PjxUKlUaNWqFdLS0hAZGQmlUgl/f/9SOR8iIiIiKh/4cH4ZMzAwwMGDB5GamoqmTZuid+/e8PDwwIoVK6Q2w4YNg6OjI5o0aQILCwtERkbCwMAAJ0+eRI0aNdCzZ084OTlh6NChePnyZanOwISEhMDV1VVt27dvHzw9PbF3714cOnQITZs2xSeffIJly5bB1tZWbX8/Pz9cv34d1apVg7u7u1rd3LlzMXPmTCxYsABOTk7w8vLCvn37ULNmzVI7HyIiIiIqH2RCCFHWQRCVlvT0dBgbGyMtLU0jbqkjIiIiInWF/b7GW8WoQnudl/N9LkRERESa6fX3tH+aT2HiQgCAzZs3Y8SIEfnW2dra4tq1ax84opLx7NkzAOCSyEREREQa7tmzZzA2Ni6wnreKEYBXvygPHjzIt05HRyfPsyrlhUqlwr1791CpUiXIZLKyDqdcev0unDt37vB2u48Ex/zjwvH++HDMPz6aPuZCCDx79gzW1taQywt+BJ8zLgTg1apeb7/MsiKQy+WltsLax0apVGrkX3ZUejjmHxeO98eHY/7x0eQxf9dMy2tcVYyIiIiIiDQeExciIiIiItJ4TFyI6J0UCgWCgoKgUCjKOhT6QDjmHxeO98eHY/7xqShjzofziYiIiIhI43HGhYiIiIiINB4TFyIiIiIi0nhMXIiIiIiISOMxcSEiIiIiIo3HxIWI8khNTYWfnx+USiVMTEwwdOhQZGRkFGpfIQQ6d+4MmUyGXbt2lW6gVGKKOuapqakYM2YMHB0doa+vjxo1aiAgIABpaWkfMGoqrJUrV8LOzg56enpo3rw5zp07987227ZtQ926daGnpwdnZ2fs37//A0VKJaUoY7527Vq0bt0apqamMDU1RceOHf/xd4Q0T1H/nL8WHh4OmUwGHx+f0g2wBDBxIaI8/Pz8cO3aNRw+fBh79+7FyZMnMXz48ELt+91330Emk5VyhFTSijrm9+7dw7179xASEoKrV68iLCwMBw4cwNChQz9g1FQYW7duxYQJExAUFIRLly6hYcOG8PT0REpKSr7tz5w5A19fXwwdOhSXL1+Gj48PfHx8cPXq1Q8cORVXUcf8+PHj8PX1xbFjx3D27FnY2Njg008/xd27dz9w5FRcRR3z127evIlJkyahdevWHyjS9ySIiN5w/fp1AUCcP39eKvv999+FTCYTd+/efee+ly9fFtWqVRPJyckCgNi5c2cpR0sl4X3G/E2//PKL0NXVFdnZ2aURJhVTs2bNxKhRo6TPubm5wtraWixYsCDf9n379hWfffaZWlnz5s3FiBEjSjVOKjlFHfO35eTkiEqVKokNGzaUVohUwooz5jk5OaJly5bixx9/FP7+/sLb2/sDRPp+OONCRGrOnj0LExMTNGnSRCrr2LEj5HI5oqKiCtzvxYsX6N+/P1auXAlLS8sPESqVkOKO+dvS0tKgVCqhra1dGmFSMWRlZeHixYvo2LGjVCaXy9GxY0ecPXs2333Onj2r1h4APD09C2xPmqU4Y/62Fy9eIDs7G2ZmZqUVJpWg4o75nDlzUKVKlXI1U85/XYhIzf3791GlShW1Mm1tbZiZmeH+/fsF7jd+/Hi0bNkS3t7epR0ilbDijvmbHj16hLlz5xb6lkL6MB49eoTc3FxUrVpVrbxq1ar4888/893n/v37+bYv7O8Cla3ijPnbpkyZAmtr6zwJLGmm4oz56dOnsW7dOkRHR3+ACEsOZ1yIPhJTp06FTCZ751bYf9TetmfPHhw9ehTfffddyQZN76U0x/xN6enp+Oyzz1CvXj0EBwe/f+BEVGYWLlyI8PBw7Ny5E3p6emUdDpWCZ8+eYeDAgVi7di0qV65c1uEUCWdciD4SEydOxODBg9/ZplatWrC0tMzzMF9OTg5SU1MLvAXs6NGjSExMhImJiVp5r1690Lp1axw/fvw9IqfiKs0xf+3Zs2fw8vJCpUqVsHPnTujo6Lxv2FSCKleuDC0tLTx48ECt/MGDBwWOraWlZZHak2Ypzpi/FhISgoULF+LIkSNwcXEpzTCpBBV1zBMTE3Hz5k1069ZNKlOpVABezbbHx8ejdu3apRt0MTFxIfpIWFhYwMLC4h/btWjRAk+fPsXFixfRuHFjAK8SE5VKhebNm+e7z9SpU/Hll1+qlTk7O2PZsmVqfzHSh1WaYw68mmnx9PSEQqHAnj17+L+zGkhXVxeNGzdGRESEtNSpSqVCREQERo8ene8+LVq0QEREBMaNGyeVHT58GC1atPgAEdP7Ks6YA8DixYsxb948HDx4UO15N9J8RR3zunXrIjY2Vq1sxowZePbsGb7//nvY2Nh8iLCLp6xXByAizePl5SVcXV1FVFSUOH36tHBwcBC+vr5S/d9//y0cHR1FVFRUgX2Aq4qVK0Ud87S0NNG8eXPh7Owsbty4IZKTk6UtJyenrE6D8hEeHi4UCoUICwsT169fF8OHDxcmJibi/v37QgghBg4cKKZOnSq1j4yMFNra2iIkJETExcWJoKAgoaOjI2JjY8vqFKiIijrmCxcuFLq6umL79u1qf5afPXtWVqdARVTUMX9beVlVjDMuRJTH5s2bMXr0aHh4eEAul6NXr15Yvny5VJ+dnY34+Hi8ePGiDKOkklTUMb906ZK04pi9vb1aX0lJSbCzs/tgsdO79evXDw8fPsSsWbNw//59NGrUCAcOHJAe5L19+zbk8v9/5LVly5bYsmULZsyYgWnTpsHBwQG7du1CgwYNyuoUqIiKOuarVq1CVlYWevfurdZPUFAQn1srJ4o65uWVTAghyjoIIiIiIiKidyn/qRcREREREVV4TFyIiIiIiEjjMXEhIiIiIiKNx8SFiIiIiIg0HhMXIiIiIiLSeExciIiIiIhI4zFxISIiIiIijcfEhYiIiIiINB4TFyIionzIZDLs2rVLY/rRFEIIDB8+HGZmZpDJZIiOjs63rF27dhg3blyh+jx+/DhkMhmePn1aqrETUfnGxIWIiMrc/fv3MWbMGNSqVQsKhQI2Njbo1q0bIiIiyjq0QgsODkajRo3ylCcnJ6Nz586lfvysrCwsXrwYDRs2hIGBASpXrgx3d3eEhoYiOzu7xI5z4MABhIWFYe/evUhOTkaDBg3yLduxYwfmzp1bqD5btmyJ5ORkGBsbl1icN2/elJIoIqoYtMs6ACIi+rjdvHkT7u7uMDExwZIlS+Ds7Izs7GwcPHgQo0aNwp9//lmsfrOysqCrq5unPDs7Gzo6Ou8bdqFZWlqW+jGysrLg6emJmJgYzJ07F+7u7lAqlfjjjz8QEhICV1fXfJOq4khMTISVlRVatmz5zjIzM7NC96mrq/tBrhMRlXOCiIioDHXu3FlUq1ZNZGRk5Kl78uSJ9POtW7dE9+7dhaGhoahUqZLo06ePuH//vlQfFBQkGjZsKNauXSvs7OyETCYTQggBQPz73/8W3bp1EwYGBiIoKEgIIcSuXbuEq6urUCgUombNmiI4OFhkZ2dL/QEQO3fulD5PnjxZODg4CH19fVGzZk0xY8YMkZWVJYQQIjQ0VABQ20JDQ/Pt58qVK6J9+/ZCT09PmJmZiWHDholnz55J9f7+/sLb21ssWbJEWFpaCjMzM/H1119Lx8rPokWLhFwuF5cuXcpTl5WVJV3bly9fijFjxggLCwuhUCiEu7u7OHfunFr72NhY4eXlJQwNDUWVKlXEgAEDxMOHD6XY3jxHW1vbfMuEEKJt27Zi7NixUr8vX74UkydPFtWrVxe6urqidu3a4scffxRCCHHs2DEBQG28T506JVq1aiX09PRE9erVxZgxY9R+R2xtbcW8efPEkCFDhJGRkbCxsRGrV69WG783t7Zt2xZ4/YiofGDiQkREZebx48dCJpOJ+fPnv7Ndbm6uaNSokWjVqpW4cOGC+OOPP0Tjxo3VvowGBQUJQ0ND4eXlJS5duiRiYmKEEK++wFapUkWsX79eJCYmilu3bomTJ08KpVIpwsLCRGJiojh06JCws7MTwcHBUn9vJxxz584VkZGRIikpSezZs0dUrVpVLFq0SAghxIsXL8TEiRNF/fr1RXJyskhOThYvXrzI009GRoawsrISPXv2FLGxsSIiIkLUrFlT+Pv7S8fx9/cXSqVSjBw5UsTFxYnffvtNGBgYiDVr1hR4fVxcXMSnn376j9c7ICBAWFtbi/3794tr164Jf39/YWpqKh4/fiyEeJUoWlhYiMDAQBEXFycuXbokOnXqJNq3by+EEOLp06dizpw5onr16iI5OVmkpKTkWyZE3sSlb9++wsbGRuzYsUMkJiaKI0eOiPDwcCFE3sTlxo0bwtDQUCxbtkz89ddfIjIyUri6uorBgwdL/dna2gozMzOxcuVKkZCQIBYsWCDkcrn4888/hRBCnDt3TgAQR44cEcnJydI5ElH5xcSFiIjKTFRUlAAgduzY8c52hw4dElpaWuL27dtS2bVr1wQAacYgKChI6OjoSF+cXwMgxo0bp1bm4eGRJ1natGmTsLKyUtvvzcTlbUuWLBGNGzeWPr+e8Xnbm/2sWbNGmJqaqs0c7Nu3T8jlcmn2yN/fX9ja2oqcnBypTZ8+fUS/fv0KjEVfX18EBAQUWC/Eq6RJR0dHbN68WSrLysoS1tbWYvHixUKIV8nZ2wnQnTt3BAARHx8vhBBi2bJl0qzKa/mVvZm4xMfHCwDi8OHD+cb2duIydOhQMXz4cLU2p06dEnK5XPzvf/8TQrxKXAYMGCDVq1QqUaVKFbFq1SohhBBJSUkCgLh8+fI7rwsRlR98xoWIiMqMEKJQ7eLi4mBjYwMbGxuprF69ejAxMUFcXByaNm0KALC1tYWFhUWe/Zs0aaL2OSYmBpGRkZg3b55Ulpubi5cvX+LFixcwMDDI08fWrVuxfPlyJCYmIiMjAzk5OVAqlYWK/83zaNiwIQwNDaUyd3d3qFQqxMfHo2rVqgCA+vXrQ0tLS2pjZWWF2NjYAvstzHVMTExEdnY23N3dpTIdHR00a9YMcXFxAF5dl2PHjsHIyCjf/evUqfPPJ5mP6OhoaGlpoW3btoVqHxMTgytXrmDz5s1SmRACKpUKSUlJcHJyAgC4uLhI9TKZDJaWlkhJSSlWjESk+Zi4EBFRmXFwcIBMJiv2A/hvezMheFd5RkYGZs+ejZ49e+Zpq6enl6fs7Nmz8PPzw+zZs+Hp6QljY2OEh4dj6dKlJRL3295ePEAmk0GlUhXYvk6dOiVyDTMyMtCtWzcsWrQoT52VlVWx+9XX1y9yHCNGjEBAQECeuho1akg/F/U6EVH5xsSFiIjKjJmZGTw9PbFy5UoEBATkSTCePn0KExMTODk54c6dO7hz544063L9+nU8ffoU9erVK/Jx3dzcEB8fD3t7+0K1P3PmDGxtbTF9+nSp7NatW2ptdHV1kZub+85+nJycEBYWhufPn0vnGhkZCblcDkdHxyKexf/r378/pk2bhsuXL8PV1VWtLjs7G1lZWahduzZ0dXURGRkJW1tbqe78+fPS+1bc3Nzw66+/ws7ODtraJfcVwdnZGSqVCidOnEDHjh3/sb2bmxuuX79e6PHJz+sV5f5pTIio/OB7XIiIqEytXLkSubm5aNasGX799VckJCQgLi4Oy5cvR4sWLQAAHTt2hLOzM/z8/HDp0iWcO3cOgwYNQtu2bfPcBlYYs2bNwsaNGzF79mxcu3YNcXFxCA8Px4wZM/Jt7+DggNu3byM8PByJiYlYvnw5du7cqdbGzs4OSUlJiI6OxqNHj5CZmZmnHz8/P+jp6cHf3x9Xr17FsWPHMGbMGAwcOFC6Taw4xo0bB3d3d3h4eGDlypWIiYnBf//7X/zyyy/45JNPkJCQAENDQ3z11Vf45ptvcODAAVy/fh3Dhg3DixcvMHToUADAqFGjkJqaCl9fX5w/fx6JiYk4ePAghgwZ8l4JgJ2dHfz9/fHFF19g165dSEpKwvHjx/HLL7/k237KlCk4c+YMRo8ejejoaCQkJGD37t0YPXp0oY9ZpUoV6Ovr48CBA3jw4AHS0tKKHT8RaQYmLkREVKZq1aqFS5cuoX379pg4cSIaNGiATp06ISIiAqtWrQLw6hag3bt3w9TUFG3atEHHjh1Rq1YtbN26tVjH9PT0xN69e3Ho0CE0bdoUn3zyCZYtWybNRLyte/fuGD9+PEaPHo1GjRrhzJkzmDlzplqbXr16wcvLC+3bt4eFhQV+/vnnPP0YGBjg4MGDSE1NRdOmTdG7d294eHhgxYoVxTqP1xQKBQ4fPozJkydj9erV+OSTT9C0aVMsX74cAQEBaNCgAQBg4cKF6NWrFwYOHAg3NzfcuHEDBw8ehKmpKQDA2toakZGRyM3NxaeffgpnZ2eMGzcOJiYmkMvf7yvDqlWr0Lt3b3z99deoW7cuhg0bhufPn+fb1sXFBSdOnMBff/2F1q1bw9XVFbNmzYK1tXWhj6etrY3ly5dj9erVsLa2hre393vFT0RlTyYK+2QkERERERFRGeGMCxERERERaTwmLkREREREpPGYuBARERERkcZj4kJERERERBqPiQsREREREWk8Ji5ERERERKTxmLgQEREREZHGY+JCREREREQaj4kLERERERFpPCYuRERERESk8Zi4EBERERGRxvs//QUQgQzXVz4AAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "features = ['age_years', 'BMI', 'ap_hi', 'ap_lo', 'Protein_Level', 'Ejection_Fraction']\n",
        "plt.figure(figsize=(15,10))\n",
        "for i, feat in enumerate(features, 1):\n",
        "    plt.subplot(3,2,i)\n",
        "    sns.boxplot(x='cardio', y=feat, data=df, palette='Set2', hue='cardio', legend=False)\n",
        "    plt.title(f'{feat} by Cardio Risk')\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 649
        },
        "id": "et1ZL8edzCMs",
        "outputId": "f8f4ab40-7120-46e6-9a9a-2fcdc054cd25"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x1000 with 6 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "violin_feats = ['BMI', 'age_years', 'Protein_Level', 'Ejection_Fraction']\n",
        "plt.figure(figsize=(12,8))\n",
        "for i, f in enumerate(violin_feats,1):\n",
        "    plt.subplot(2,2,i)\n",
        "    sns.violinplot(x='cardio', y=f, data=df, palette='muted', inner='quart', hue='cardio', legend=False)\n",
        "    plt.title(f'{f} Distribution by Risk Class')\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 649
        },
        "id": "pRDjc41RzFB0",
        "outputId": "60e9b94b-d407-45ae-9497-3cd56ad00315"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "cat_cols = ['cholesterol', 'gluc', 'Age_Group', 'BMI_Category', 'BP_Category', 'Risk_Level']\n",
        "plt.figure(figsize=(16,10))\n",
        "for i, col in enumerate(cat_cols,1):\n",
        "    plt.subplot(3,2,i)\n",
        "    sns.countplot(x=col, hue='cardio', data=df, palette='coolwarm')\n",
        "    plt.title(f'{col} vs Heart Risk')\n",
        "    plt.xticks(rotation=30)\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 609
        },
        "id": "8OlYJwUFzQW7",
        "outputId": "48a04329-e302-472c-efc8-b978b59042ea"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x1000 with 6 Axes>"
            ],
            "image/png": 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Ozk6xsbEaMWKEAgIC5OfnJ39/f/n7+1t5awCkB9euXdPbb7+tMmXKaMaMGRavsjCZTHJ2dra4ARIfH6/27dtrwoQJmjJliv773/9KkoYMGSJ7e3tly5ZNWbNmtcq2ABlRUm2qrFmzqnbt2ho1apS6du2qsLAwzZ8/X82aNVPr1q3l4eGhs2fP6ujRo3J3d5ednZ3y5cunEiVKaMGCBRo/frwmTZqkNm3ayNfXVz4+Phb185pVwLoS2rHSw/PuiBEjNH/+fPXt21fvvfeefvnlF3355ZfKnj27hg4dqjp16mj//v1asmSJ2rZtq5dffln79+9X/vz5LZKeSJ9IMyFdS3iP+7Fjx9StWzf95z//0aFDhyRJvr6+WrBggdzc3FSyZEkdOHBAgwYNkrOzs7Zs2fLMQTwTBm4G0kpaHb+GYZhvOAOpLSHpm3AxePnyZfXq1UsODg4qUqSIJkyYoMuXL5uTFK+88or8/f119uxZzZs3T/b29po7d66yZcumGTNmqGrVqpo9ezZJDVhFXFyc+Wd7e3vdvHlTUVFRKlWqlPz8/FSqVCnz/ICAAHl7e6t69eoKCAgw/4/95ZdftG7dOp05c+aFxw8gfcuTJ48CAgJ08uRJbd68WdLD86jJZFJ8fLy8vLwUERGh3377TdLD9oejo6Neeukl3bt3T/Hx8YqLi5Ojo6OGDh2q/v37W3NzgAwn4W9R+r9rXEdHR/Xp00eGYWjkyJFq2bKlOnfurE8//VSS1KZNGxUsWFBTp07V2bNnzXXduXNHjRo10s6dO7V37145ODiYkxr00gCs79F2bFRUlL799ltJkrOzs0aNGqXevXsra9asWrdunU6ePKnx48fr9OnTyp07t958803lypVLLVq0kL+/v2rXrq0rV67o/7V373E1Zf0fwD/nHEWScg9DF0mu1SCTMNMISTwZo1CN0rhkXEJuY1xCLqORa4UhQi4zyKipZ8g9twaJZzKppJB70UWnU2f9/vCzZxo8zDN0xOf9evXirL32Omt5rY6z93ev7wL4+/22410xeqtFRESgZs2aCAwMxM2bN3H58mX89NNPePz4Mdq2bQtbW1vY29tjzZo1MDY2BgBkZ2dj2bJl0gUEkaa8qfnLp4DoTRFCSDdzr169CldXV3Tq1AmNGzfGjh07sGHDBsydOxd37tzB7t27pfMGDRoEMzMz7Nq1C9euXYOtrS127NiB06dPIzg4WFPDoffY04CGQqFAaWkprl27hqKiIhgYGCAiIgKLFy9GWloatmzZIp3TrFkzeHl5ITU1Febm5vDz84OzszPc3d3h6uoKT09PTQ2HiN5iY8aMgY6ODjZu3IjS0lLI5XLpTycnJxQWFmLDhg1SfaVSiezsbLRr1w5yuVx6kIAPrBC9fnFxcXB3d8f9+/chl8ultKrm5uYICAhAUFAQcnJyMGrUKCiVSsyaNQsAsGLFCqSmpmLIkCFYsWIFfH19cerUKXh4eEAmkyE1NbXc+/D6jEjznv4/evLkSVhbW+PQoUPIz8/HiBEj4OLigh9//BHm5ua4ffs2tm3bBjMzM0ydOhUA8NFHHyEsLAz29vawsrLCnTt30KlTJwD8/X7b8dsTvbXu3LmDBQsWICAgAJGRkYiNjcWIESOwadMmnDhxAi1atMCgQYNw+PBhTJw4EVu3bkVYWBg6d+4spfch0hTOX6pMnt4ElslkSE5Ohp2dHTZu3IhPPvkE+fn5aNiwoVS3T58+sLOzw/Lly6XzGjRoACcnJ1y5ckXaa0NXV5f7aJDGPL1RuHz5cjRr1gyff/45evTogePHjwMAnJ2d0aZNGxw4cAAnT56Uzhs+fDh2796Nvn37QqlUwsTEBFevXsWkSZM0Mg4ievsZGBhg2LBhSE1NRWRkJIA/boL07NkTjo6O2LdvH7p27Ypvv/0WPXr0gEKhQNeuXTXZbaL3QpUqVZCSkoKIiAgAQNWqVQE8WY25ZMkSKJVKTJkyBR06dICPjw9Wr16NnJwcdO7cGWvXrkWHDh0QGRmJpKQkhIaGYsiQIbh06RJUKpUmh0VEz5GamgoPDw+sX78ePj4+2L59O/T19VGrVi3cu3cPYWFhGD58OKKjozFgwADUr18fUVFRiI2NhVwuR8uWLbFs2TIsXrwYenp6mh4OvSKZ4Joa0rA/57/7s59//hk+Pj6IjY2FlZWVVN6iRQu0b98eq1atQu3atREREYHQ0FAIIVBUVISxY8di+PDhFTgCep9x/tK74tGjR7h06RLCwsJQt25dzJkzB/fv38eIESOQn5+PU6dOSXV37tyJBQsWwMvLC35+fgAAlUqFX3/9Fba2thoaAb3v1Gq19KTWvXv3MGbMGFy4cAFTp07Fhx9+iPnz5yMvLw/Tp0+Hvb09Tp06hXHjxqF79+4IDAyEXC7Hf/7zH2kz8D+3R0T036hUKnh4eKCwsBDff/89DA0NoVKpoKWlBQA4ffo0Vq1ahTt37qB169ZYunSphntM9H4QQmDMmDFITU3Fjz/+iOLiYri7u+PChQuYOHEizM3NMXDgQBw5cgQmJiZwcXGBhYVFuRWdRUVF0t43a9euxdq1axEZGQlzc3NNDYvovfe8+zAFBQWwsLDAzZs3sWvXLvTv31+ql5iYiE6dOuHcuXOwsrLC7du3MXLkSFy5cgVNmzZFbGyshkZC/5gg0pCysrJyr1NTU0VeXp70OjExUcjlcnHt2jUhhBCFhYVCCCHCw8OFlpaW2Lx5c7nzc3Jyyr0uLS19E90mEkJw/lLl9tf5K4QQn332mdDX1xf29vbi/v37UnlUVJQwMDAQ27dvl8ru3bsn/Pz8RKNGjcT169crpM9Er+Lp5/CdO3eEr6+vuHjxohDiyWfwJ598IvT09ISHh4coLi4WQggxc+ZM0bp1azFs2DDRvn17YWpqKvLz8zXWfyKqvE6fPi1sbW3FggULpLKcnBwxZswYYW9vL86ePStKSko02EOi99OVK1dE165dRdu2bYWenp7w9vYWV69eFUI8+X7g6uoqLC0thRBCrF+/XshkMnHy5Enp/Nu3b4ugoCDh4uIiatSoIZYtW6aBURCREEKo1Wrp7yUlJSIuLk5kZWWJBw8eCCGE2LRpk6hRo4ZYuXJlufN+++030alTJ/Gvf/1LHDp0SHz22Wdi0KBBIiMjo0L7T68fH0MjjXn6FOSGDRtgZGQENzc3WFlZIT4+HsXFxWjXrh3atWuHGTNmAAB0dHQAPNmkTwiBqKgoXL58WWrP0NAQQPm82kRvCucvVUZqtfqFT6EHBgaievXqKC4uLpdCys7ODm5ubtKGisCTeezo6AhPT09Uq1atQvpO9DKnTp1C9+7dce7cOdSrVw/Tpk1DmzZtsHjxYjRt2hSGhoYYNWoUEhMTsWPHDgDA+PHjMX78eNy4cQM9e/ZEeno6N7onov9Jx44dYWNjg/379+P06dOIjIzEhx9+iKioKGnl2NMVHERUcczMzODs7Ix79+5h3rx50vUbAFSvXh3Tp09HRkYGVq1aBTc3NwQHB6NVq1bS+fXr18f169dRp04dpKenY/z48ZoaCtF7JzExEcAfG4M/TfW4atUqNG7cGNOmTUPPnj3h7e0NAPjiiy/Qvn17HDx4EOnp6VI7zZo1w+TJk5GVlYWhQ4eirKwMISEhMDExqeAR0Wun6cgKvT/Kysqk6KparRb5+fli1KhRwszMTKxbt06kpaWJsWPHig4dOog9e/YIIYTYvHmzkMlkYu/evdITlHPnzhVfffWVqF27tti5c6emhkPvGc5fqmz+/DTLX19fuHBB+Pr6ihkzZojjx4+LgoICIYQQ/v7+wszMTOzfv7/cucePHxdmZmZi+vTpL2yfqCI9b9XR/v37xQcffCDS09OlsgMHDghra2vp8/bWrVvCwMBAODo6SivqhBBCqVS++U4T0TsvOztb2NraCoVCIXR0dMSSJUs03SUiEk9WdPbq1UsMHTpUqFQqIcQfK+RVKpUYN26ccHR0LPf9Vq1WS6+frvQkoorz448/CplMJq5cuSKE+OP6MyYmRrRq1UpERESIsrIykZKSIuRyufD19RVCCBEfHy8aN24sQkJCpN/3p+7fvy+ys7MrdiD0RnHFBr1R4v/3DZgxYwauXbsGmUyGBw8eoLCwEFWrVkXDhg2xfv16fPnll2jUqBHu37+P8+fPIzIyEllZWfDw8MCECRPg5eWFHj16oGPHjlizZg0WLVoECwsLREdHS+9D9Lpx/lJlJpPJ8PjxY/z73/8GAJSWlkIIgdmzZ6NTp054+PAh4uLi4OPjIz15NnPmTMjlcuzbtw93796V2rKyssKAAQOwefNmFBUVSe0TaYpcLkd2djaAP57gcnBwQHFxMU6cOCHVO378OJRKJXr37g0AOHPmDAwNDXH16tVyuXS1tbUrsPdE9K764IMP4ObmhilTpuDBgwfw9/fXdJeICIC+vj6GDRuGlJQUREZGAvjju2yVKlWwcOFCxMbGSmVCCMhkMun1003HiajidO3aFZ07d37m/9LQ0FD06dMHnp6eyM7OxsyZM6Gjo4MWLVqgrKwMn376Kezt7fHDDz/g/PnzAP6451K7dm188MEHFT4WenMY2KA3SiaTQQiBhQsXYvPmzfD390fdunWxe/duKBQKeHt7o1u3bvj+++9hbGwMpVKJhQsXIiEhAVFRUQCA7777DhEREejZsyecnJyQlpaGGjVqoLi4WErfwxts9CZw/lJlplarERISgt69e+Phw4fQ0tJCWloaoqOjsXHjRmzduhWHDx/GtGnTsHXrVkRFRaFmzZoYM2YMoqOjkZCQILWlq6sLPz8/pKamSpsnElWkp2n6nl6UJCQkwMjICGFhYcjNzQUAPHz4EA4ODjh37px0XpUqVVCrVi1s2bIF58+fx5o1azB8+HBs3boVI0eOrPiBENE7b9y4cViwYAFTNRK9Zfr37w8zMzPs3LkTN2/ehFwul75XPP1+W1paCoDXZ0SapFKpADxJA/fNN98gOjoa+/fvl34vGzRogPr162POnDlo27YtFAoFkpOTy6WJCwgIwIkTJxATE4OSkhL+Tr/LNLRShN5xx48fF/Hx8eLOnTtCCCEGDRoktLW1RbNmzcShQ4fK1b106ZKwtrYWGzZskMqaNm0qPv30U3HkyJFn2i4rKxPz588Xpqam5Tb1InpdOH+psnleWh4hhEhPTxfW1tZi0KBBQgghDh8+LORyeblUPY8ePRI+Pj7CwsJCKuvWrZvo3bu3SE1NfbMdJ3qJv87tP2+8u2jRImFlZSW8vLykMjc3N+Hh4SG9zsjIEJ6enqJp06bCwMBA+Pj4SKkniIiI6P1y/Phx0bp1a7F7925Nd4WIXmLnzp1i48aNol27dsLW1lYq9/DwELq6usLS0lIkJCRI5bm5uWL69OlSutmdO3eKu3fvVni/qWJxxQa9VhcuXEC3bt3g5eWF3bt3IysrC6Wlpbh+/Tpq1KgBOzs7dOnSBcAfqSOOHTuGwsJC2NnZAQBOnjwJXV1dpKamIjExUXqKIisrC6tXr0aLFi2wfv16hISE4KOPPtLMQOmdxPlLlZVcLse1a9ewZs0apKSkSOVGRkbw9/fHjh07cP78eejp6cHCwgK///67VEdPTw99+/YFAGmp7uTJk5Gbm8v0PFThSkpKyr1+utH9tm3bYGdnB1dXVwwfPhwlJSWYOnUqAgICcPjwYbi5ueHBgwcYPHgw4uLipPNNTEwQHh6O6OhoXLp0Cd9//z0UCkWFjomIiIjeDp07d8ZPP/2E/v37a7orRPQCd+/ehZ2dHfz9/XH58mWUlpbi1KlTWLVqFQBgyJAhqFmzJgYPHozOnTtL5+3YsQMnT55EVlYWAGDgwIGoW7euRsZAFUcmBJO70z8j/j//ZEhICObMmQNXV1eMGTMGCoUCzZs3l+odPXoU9vb2iIqKgrOzs7QULCIiAosWLYK7uzt69eqFuXPnolevXrCyspJuFgNPlqMdPXoUOTk58PDwqPBx0ruJ85feBbm5ubCxsUF6ejqaNm2KlStXws7ODrVr18bdu3fh6emJwsJCHDlyBO3bt0fPnj0xZcoU1KlTBwCwceNGTJ06FUlJSWjYsKGGR0PvG7VajdLSUvTt2xf9+/fH8OHDoVAooFaroVarMXHiROzcuROTJk1CnTp1sHLlSjRs2BDLly9H8+bNkZSUhGHDhqFOnTro2bMnYmNjERgYCFtbW+kznoiIiOjP+B2BSPOe93u4e/duzJo1C3v27EHz5s2RlZWF+fPnY+fOncjOzoaenh5GjhyJY8eOoUGDBtL3/8uXLyM4OBju7u4aGg1pAgMb9FoUFBRINyTGjRv3wnrdu3dHSUkJduzYgUaNGknlI0aMwIkTJ3Djxg307NkTGzduhI6ODoAnNzyePrFJ9CZw/tK7YOHChYiKisKjR49Qr149CCGwfv16mJub4+jRo/j000/x888/4+HDh5g1axYGDBiAiRMnQq1WY9KkSVAqldi4cSNzglOF+evno6enJ06dOoW4uDg0a9YMAHDz5k24urpi3rx5sLe3B/AkR/bRo0cRFRWFzp07Q6FQ4MyZM1i/fj3WrVsHmUyG48ePw9bWViPjIiIiIiKiFysrK3vhKupZs2YhMjISaWlpUtmVK1fQvXt39OnTB6GhocjLy8Ovv/6KTZs2QalUokmTJli4cCEzDryHqmi6A/RuOHnyJC5evIhly5ZJZRkZGVAqlSgsLETDhg3RuHFjhIWFwcLCAtHR0RgxYgQA4OrVq1i7di0yMzMBAMbGxgD+iNzypjC9aZy/9C7w9fVFYmIimjdvjsmTJ2P8+PFwdnaGh4cHvL29MXXqVHh5eeHmzZu4efMm5s6di7179+LevXuoU6cOtm/fzqAGVYi/fj7OmzcPRUVFWL9+PWrVqoXNmzdj2rRpqFatGs6ePYsHDx7A3t4eS5YswYIFC9C+fXv88ssvaN++vdSmjY0NbGxsUFRUhKpVq5Y7RkREREREFU8IASFEufsiQggpqBETE4Nbt27B1NRUeojJ0NAQenp6SElJQcuWLQEApqam+Ne//oW1a9fCz88PLVq0gIODAxwcHFBSUsKAxnuMgQ16Lbp06YLi4mIEBwfDyckJP/30E27cuIE7d+7g8uXLsLGxQUhICKytrTF69GjMnj0bV65cwYEDB6BSqZCYmAgjIyPIZDJp7wLeEKaKwvlL7wIDAwO4ublhyZIluH79Og4fPozNmzfj66+/RlxcHPr374/i4mIEBQXB398fDg4OyMjIgBAC/fr103T36T3x51Uae/fuxejRo6GtrY2wsDBoa2sjICAAgYGBcHJygo2NDQwNDVFcXAxDQ0PUrl0bYWFhcHNzAwCkp6dDqVSiVatWKC0tRZUqVRAeHo4qVfj1loiIiIhI02QyGWQyGW7evAldXV3o6+tDJpPh+vXrGDx4MFJSUmBhYYETJ07A19cXM2bMQIcOHRAREYHdu3djxowZAACFQoGCggKoVCp4eHggMTFReg8GNd5vvPNGr4WOjg42bNiAzMxMfPnll3j48CEGDBiA4OBgxMbGQi6XY8qUKQCAFStWYMSIEbh48SKcnZ1x6dIl6OjoSHn15HI5bwpTheL8pXfFZ599hmbNmiE0NBQ3btyAp6cnYmJi0LFjRwQHByMvLw9TpkzB3bt30bp1a/Tt25dBDapQcrkcmZmZ6NKlC4YOHQo/Pz9cvXoVvXr1AgD4+/ujdu3aWL58OZRKJRo0aIBWrVrB0NAQZ8+elYIaQgiEhYUhMjISAKRgBoMaRERERERvB7Vajblz58Lc3Bxr1qyRylesWAFtbW2kpaXh4MGD2Lt3L44cOYJvv/0WNjY26Nq1K3744QeEhoYiPz8fFy5cQEFBAbZt2wYfHx8NjojeNtxjg16rR48eQaFQQFdXV3p6EgC++uor/Prrr9i3bx/q168PtVqNsrIyaGlpAUC5ukSawvlL74IzZ87Az88PTk5O+Oabb6Tyn3/+GYsXL4ZKpUJMTAwMDAy4YSJVuNzcXHz88cfIzc3F77//jurVq0vHiouLoVarkZiYCHt7e+zbtw99+vRBSEgIgoOD0bt3b7i5uaF69eqYN28ekpOTERQUBBcXF80NiIiIiIiInrsR+MOHD9GlSxfcunULH3/8MaZNm4YOHTrAzs4OnTp1wtKlS6W6ixYtwk8//YSgoCCYm5sjJCQEc+bMQdu2bZGSkoKRI0ciODiY916oHD5WTK9VzZo1oaurC+CPpyYLCgqQkZEBBwcH1K9fH8CTJza1tLSgVqshhOAHE70VOH/pXdCxY0fY2Njg4MGDSE5OBvDkS6aTkxP279+PEydOoFatWgxqkEbUqlULbm5uMDMzw+nTp6XylStXwtjYGBs2bMDHH3+MTz/9FIGBgXj48CG8vb2xYMEC7NmzB6NGjYKLiwvUajVOnjzJoAYRERERkYap1epnri/Lysqgr6+Prl27wsDAAGVlZdi1axcA4N69e6hXrx4AQKVSAQCGDh2K27dv4/fff0fdunUxa9Ys/Prrr/j6669x9uxZrFy5kvde6BlcsUFvRH5+PoqLi5GcnIxZs2bh8ePHCA8Ph6Wlpaa7RvRSnL9U2WVnZ2PIkCEwMTFBRESEprtDVE5eXh4GDRoEIyMjDBw4EJMmTUJRURG+/vpruLu7Q1tbGxkZGTAzM0NISAh8fHygpaWF+/fvS7l1zczMND0MIiIiIiL6f5mZmdi8eTMcHBxga2uL0tJSKBQKrFixAleuXEFpaSmSk5OxcuVKHDhwAKtXr0ZaWhq0tbWl1R7Gxsbw9vbG7NmzNT0cqiS4YoNeu7y8PHz++efw8PCAh4cHOnbsiHPnzvGmMFUKnL/0LmjSpAlcXFzQoUMH8PkFetsYGBhg2LBhOHDgAHr37o1Bgwbh9OnT8Pb2hra2NkpKSmBqaooxY8Zg7ty5uHz5MgCgTp06MDIyYlCDiIiIiOgtkpubC0dHR8yePRuDBg3C2bNnoVKpIJPJUFxcjJycHMyYMQNaWloIDQ2Fk5MTFAoFxo8fj+vXr0Mmk+Ho0aOoUaMGevfurenhUCXCFRv0Rvzyyy/IyMhAv3790KhRIwBPlqEpFAoN94zo5Th/6V3wvBynRG8LlUoFd3d33Lt3D7t27UKtWrXK7VdUUlICLS0t1K1bF5GRkdLm4kRERERE9PZZsGABDh48iJycHFhaWsLExASBgYFIT09H165dcfHiRWzbtg1btmzBpEmT0KhRIwwcOBDVqlXDhx9+iJ9//hkeHh5YuXIlqlatqunhUCXBwAa9cWVlZZDL5bzBRpUS5y8R0ZvxdKP7Pn36YMaMGQCeBOQWLVqEgIAAHDlyBFZWVrywISIiIiJ6y+Xm5sLHxwfa2tpwdXWFn58fRowYgQ4dOiAiIgKTJ09G06ZNMWzYMCgUCmzcuBF3797FL7/8grS0NHz22Wews7PT9DCokmEqKnqjhBBQKBS8KUyVEucvEdGb8+eN7lNTUxEfHw8TExOEhoZi165d6NSpE4MaRERERESVQK1ateDq6orMzExUrVoVu3btQlJSEhYtWoSYmBjk5eWhTp06GDRoEK5evYolS5agWbNm8PX1xXfffcegBv1PGNigN4o3hKky4/wlInpzZDIZJk2ahOLiYlhaWsLZ2Rm+vr7IyspCnz59NN09IiIiIiL6GwYMGAAjIyOEhISgRYsWWLFiBczMzJCfn49bt24BAAYPHgwrKys0b94cALgnJP0jTEVFRERERBqzfPly3Lp1C7Nnz0a1atU03R0iIiIiIvofnTlzBuPGjUO/fv3w9ddfQwiBjIwMNGvWTNoHsqSkBNra2pruKr0DGNggIiIiIo3hRvdERERERO8GIQQmTJiA5ORkLF26FFZWVgAAtVoNuZyJg+j14owiIiIiIo1hUIOIiIiI6N3wNN2sSqXC0qVLpXIGNehNqKLpDhARERERERERERFR5dekSRO4uLhAS0uLq7PpjWIqKiIiIiIiIiIiIiJ6LRjQoIrAdUBERERERERERERE9FowqEEVgYENIiIiIiIiIiIiIiKqNBjYICIiIiIiIiIiIiKiSoOBDSIiIiIiIiIiIiIiqjQY2CAiIiIiIiIiIiIiokqDgQ0iInouLy8vyGQy6adOnTpwdHREcnKyVOfPx/X19WFnZ4eDBw++8nvcunULY8eOhampKapWrYomTZqgb9++iI+Pf+U2Nm7cCAMDg78zNCIiIiIiIiIiqsQY2CAiohdydHRETk4OcnJyEB8fjypVqsDZ2blcnfDwcOTk5CAhIQF169aFs7MzMjIyXtp2ZmYm2rdvj4MHD2LJkiW4ePEi4uLiYG9vj6+++upNDemNU6lUmu4CEREREREREdE7jYENIiJ6oapVq8LQ0BCGhoawsrLCtGnTkJ2djbt370p1DAwMYGhoiDZt2iA0NBSPHz/G/v37X9r26NGjIZPJcObMGQwYMADm5uZo3bo1Jk6ciFOnTkn1li5dirZt20JXVxdNmjTB6NGjUVBQAAA4fPgwvL298fDhQ2nlyJw5cwAASqUS/v7+aNy4MXR1ddGpUyccPny4XB/WrVuHJk2aoHr16ujfvz+WLl36zOqP0NBQNGvWDNra2mjRogU2b95c7rhMJkNoaCj69esHXV1dzJ8/H2ZmZggKCipXLykpCTKZDGlpaS/9tyEiIiIiomdlZmZCJpMhKSnptdZ9Gx0+fBgymQx5eXma7goR0VuJgQ0iInolBQUF2LJlC8zMzFCnTp3n1tHR0QEAlJSU/Ne2Hjx4gLi4OHz11VfQ1dV95vifgwtyuRwrVqzAf/7zH2zatAkHDx7ElClTAACdO3fGsmXLULNmTWllib+/PwBgzJgxOHnyJLZv347k5GQMHDgQjo6OuHLlCgAgISEBo0aNwvjx45GUlIQePXogMDCwXD/27NmD8ePHY9KkSbh06RJGjhwJb29vHDp0qFy9OXPmoH///rh48SJ8fHwwbNgwhIeHl6sTHh6Obt26wczM7L/+2xARERERva/+nA5XS0sLJiYmmDJlCoqLiwEATZo0QU5ODtq0afPG+2JsbIxly5a98fchIqL/TRVNd4CIiN5e0dHRqFGjBgCgsLAQDRs2RHR0NOTyZ+PiRUVF+Oabb6BQKPDxxx//13bT0tIghICFhcVL++Dn5yf93djYGPPnz8eoUaMQEhICbW1t6OvrQyaTwdDQUKqXlZWF8PBwZGVloVGjRgAAf39/xMXFITw8HAsWLMDKlSvRu3dvKRBibm6OEydOIDo6WmonKCgIXl5eGD16NABIq0mCgoJgb28v1RsyZAi8vb2l115eXpg1axbOnDkDGxsbqFQqREZGPrOKg4iIiIiIynN0dER4eDhUKhXOnj2LoUOHQiaTYfHixVAoFOW+9xMR0fuLKzaIiOiF7O3tkZSUhKSkJJw5cwa9evVC7969ce3aNanO4MGDUaNGDejp6WHXrl1Yv3492rVr91/bFUK8ch8OHDiA7t27o3HjxtDT04Onpyfu37+PoqKiF55z8eJFlJWVwdzcHDVq1JB+jhw5gvT0dADA77//Dhsbm3Ln/fV1SkoK7OzsypXZ2dkhJSWlXFmHDh3KvW7UqBH69OmDDRs2AAD27dsHpVKJgQMHvvK4iYiIiIjeR0/T4TZp0gQuLi5wcHCQUt3+Nb1Ubm4u3N3dUa9ePejo6KB58+bPrJx+qqysDMOGDYOFhQWysrL+cT/37t2LDz/8ENWqVYOpqSkCAgJQWloK4MmDT25ubuXqq1Qq1K1bFxEREQAAtVqNhQsXwsTEBDo6OrC0tMSPP/74j/tFRPS+4IoNIiJ6IV1d3XKpk77//nvo6+tj3bp1mD9/PgAgODgYDg4O0NfXR7169V6p3ebNm0Mmk+Hy5cv/tV5mZiacnZ3h6+uLwMBA1K5dG8ePH4ePjw9KSkpQvXr1555XUFAAhUKBs2fPQqFQlDv2dAXK6/S8dFpffvklPD09ERwcjPDwcLi5ub2wv0RERERE9KxLly7hxIkTMDIyeu7xmTNn4rfffkNsbCzq1q2LtLQ0PH78+Jl6SqUSgwcPRmZmJo4dO/bK1y0vcuzYMXzxxRdYsWIFunbtivT0dIwYMQIAMHv2bLi7u2PgwIEoKCiQrj/+/e9/o6ioCP379wcALFy4EFu2bEFYWBiaN2+Oo0ePwsPDA/Xq1XvpCngiImJgg4iI/gaZTAa5XF7uYsHQ0PBv7xtRu3Zt9OrVC6tXr8a4ceOeCQzk5eXBwMAAZ8+ehVqtxnfffSelv9q5c2e5utra2igrKytXZm1tjbKyMty5cwddu3Z9bh9atGiBxMTEcmV/fd2yZUskJCRg6NChUllCQgJatWr10jE6OTlBV1cXoaGhiIuLw9GjR196DhERERHR++5pOtzS0lIolUrI5XKsWrXquXWzsrJgbW0traA2NjZ+pk5BQQH69OkDpVKJQ4cOQV9f/x/3MSAgANOmTZOuE0xNTTFv3jxMmTIFs2fPRq9evaCrq4s9e/bA09MTABAZGYl+/fpBT08PSqUSCxYswIEDB2Brayu1cfz4caxZs4aBDSKiV8DABhERvZBSqcStW7cAPFnmvWrVKhQUFKBv377/uO3Vq1fDzs4ONjY2mDt3Ltq1a4fS0lLs378foaGhSElJgZmZGVQqFVauXIm+ffsiISEBYWFh5doxNjZGQUEB4uPjYWlpierVq8Pc3Bzu7u744osv8N1338Ha2hp3795FfHw82rVrhz59+mDs2LHo1q0bli5dir59++LgwYOIjY2FTCaT2p48eTJcXV1hbW0NBwcH7Nu3D7t378aBAwdeOj6FQgEvLy9Mnz4dzZs3ly5YiIiIiIjoxezt7REaGorCwkIEBwejSpUqGDBgwHPr+vr6YsCAATh37hx69uwJFxcXdO7cuVydwYMH44MPPsDBgweho6PzWvp44cIFJCQkIDAwUCorKytDcXExioqKUL16dbi6umLr1q3w9PREYWEh9u7di+3btwN4sudgUVERevToUa7dkpISWFtbv5Y+EhG967jHBhERvVBcXBwaNmyIhg0bolOnTkhMTMQPP/yATz755B+3bWpqinPnzsHe3h6TJk1CmzZt0KNHD8THxyM0NBQAYGlpiaVLl2Lx4sVo06YNtm7dioULF5Zrp3Pnzhg1ahTc3NxQr149fPvttwCA8PBwfPHFF5g0aRJatGgBFxcXJCYmomnTpgCe7JURFhaGpUuXwtLSEnFxcZgwYQKqVasmte3i4oLly5cjKCgIrVu3xpo1axAeHv7K43+aMuvPG4sTEREREdGLPU2Ha2lpiQ0bNuD06dNYv379c+s+3f9vwoQJuHnzJrp37w5/f/9ydZycnJCcnIyTJ0++tj4WFBQgICBA2o8wKSkJFy9exJUrV6TrCXd3d8THx+POnTuIioqCjo4OHB0dpfMBICYmplwbv/32G/fZICJ6RTLxd3ZwJSIieocNHz4cly9fxrFjx15Le8eOHUP37t2RnZ2NBg0avJY2iYiIiIjeVV5eXsjLy0NUVJRUtm3bNkycOBEZGRm4ffs2TExMcP78eVhZWT1z/po1azB58mQ8evQImZmZUt1jx45h+vTpiImJeeU0T8bGxvDz84Ofn98zx+zs7GBhYfHCgMtTpqammDBhAmJjY2FkZCQ9wJWfn4969eph3bp1Uqqqvzp8+DDs7e2Rm5sLAwODV+ozEdH7hKmoiIjovRUUFIQePXpAV1cXsbGx2LRpE0JCQv5xu0qlEnfv3sWcOXMwcOBABjWIiIiIiP5HAwcOxOTJk7F69Wp8/vnn5Y7NmjUL7du3R+vWraFUKhEdHY2WLVs+08bYsWNRVlYGZ2dnxMbGokuXLq/03jdu3EBSUlK5MiMjI8yaNQvOzs5o2rQpPv/8c8jlcly4cAGXLl3C/PnzpbpDhgxBWFgYUlNTcejQIalcT08P/v7+mDBhAtRqNbp06YKHDx8iISEBNWvWLLfHHxERPR9TURER0WuXlZWFGjVqvPAnKytL010EAJw5cwY9evRA27ZtERYWhhUrVuDLL7/8x+1u27YNRkZGyMvLk1JjERERERHR31elShWMGTMG3377LQoLC8sd09bWxvTp09GuXTt069YNCoVC2sfir/z8/BAQEAAnJyecOHHild47KCgI1tbW5X5iYmLQq1cvREdH45dffkHHjh3x0UcfITg4GEZGRuXOd3d3x2+//YbGjRvDzs6u3LF58+Zh5syZWLhwIVq2bAlHR0fExMTAxMTkb/zrEBG9v5iKioiIXrvS0lJkZma+8LixsTGqVOGiQSIiIiIiIiIi+vsY2CAiIiIiIiIiIiIiokqDqaiIiIiIiIiIiOi9sXXr1hemzW3durWmu0dERK+AKzaIiIiIiIiIiOi9kZ+fj9u3bz/3mJaW1jN7ZRAR0duHgQ0iIiIiIiIiIiIiIqo0mIqKiIiIiIiIiIiIiIgqDQY2iIiIiIiIiIiIiIio0mBgg4iIiIiIiIiIiIiIKg0GNoiIiIiIiIiIiIiIqNJgYIOIiIiIiIiIiIiIiCoNBjaIiIiIiIiIiIiIiKjSYGCDiIiIiIiIiIiIiIgqDQY2iIiIiIiIiIiIiIio0vg/SzylN1N1V+4AAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "fig, ax = plt.subplots(1,3, figsize=(15,5))\n",
        "for i, col in enumerate(['smoke','alco','active']):\n",
        "    data = df[col].value_counts()\n",
        "    ax[i].pie(data, labels=data.index, autopct='%1.1f%%', startangle=90,\n",
        "              colors=sns.color_palette('Set2'))\n",
        "    ax[i].set_title(f'{col.capitalize()} Distribution')\n",
        "plt.suptitle(\"Lifestyle Behavior Breakdown\", fontsize=16)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 365
        },
        "id": "8PqeEi0DzSWa",
        "outputId": "cdcf8d68-74fb-4c98-fe33-84a9c9befed3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x500 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "sns.pairplot(df[['age_years','BMI','ap_hi','Protein_Level','Ejection_Fraction','cardio']],\n",
        "             hue='cardio', palette='coolwarm', corner=True, plot_kws={'alpha':0.6})\n",
        "plt.suptitle(\"Pairwise Feature Relationships (Color = Risk)\", y=1.02)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 949
        },
        "id": "XVvn_5qkzUno",
        "outputId": "b5a7b966-ecac-41e3-cd55-f094c12ab2d2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1308.88x1250 with 20 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "feat_list = ['age_years','ap_hi','BMI','Protein_Level','Ejection_Fraction']\n",
        "plt.figure(figsize=(15,10))\n",
        "for i, f in enumerate(feat_list,1):\n",
        "    plt.subplot(3,2,i)\n",
        "    sns.kdeplot(data=df, x=f, hue='cardio', common_norm=False, fill=True, alpha=0.5)\n",
        "    plt.title(f'{f} vs Cardio Risk')\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 649
        },
        "id": "ytr7hRojzkoP",
        "outputId": "cbefc5ad-a986-4688-af0b-ff3aa74e6383"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x1000 with 5 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "!pip install wordcloud > /dev/null\n",
        "from wordcloud import WordCloud\n",
        "\n",
        "text = \" \".join(df['Reason'].astype(str))\n",
        "wc = WordCloud(width=1000, height=500, background_color='white', colormap='coolwarm').generate(text)\n",
        "\n",
        "plt.figure(figsize=(14,6))\n",
        "plt.imshow(wc, interpolation='bilinear')\n",
        "plt.axis('off')\n",
        "plt.title('Word Cloud of Risk Reasons')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 521
        },
        "id": "XjRtUbfmzobL",
        "outputId": "556c1918-ca0c-4bb0-ae64-330dbe163313"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "risk_matrix = pd.crosstab(df['BP_Category'], df['BMI_Category'], values=df['cardio'], aggfunc='mean')\n",
        "sns.heatmap(risk_matrix, annot=True, fmt='.2f', cmap='YlOrRd')\n",
        "plt.title('Average Cardio Risk by BP & BMI Category')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "Idh7-Ju_zsLS",
        "outputId": "d1300bd6-e0aa-4979-81eb-f857a4e78458"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "from mpl_toolkits.mplot3d import Axes3D\n",
        "fig = plt.figure(figsize=(8,6))\n",
        "ax = fig.add_subplot(111, projection='3d')\n",
        "ax.scatter(df['age_years'], df['ap_hi'], df['BMI'],\n",
        "           c=df['cardio'], cmap='coolwarm', alpha=0.5)\n",
        "ax.set_xlabel('Age (years)')\n",
        "ax.set_ylabel('Systolic BP')\n",
        "ax.set_zlabel('BMI')\n",
        "ax.set_title('3D Relationship: Age, BP, BMI, and Risk')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 525
        },
        "id": "06JamauOzwMD",
        "outputId": "dfe5d5d9-9e0a-43e7-eff7-b6946d700d11"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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3Abnuuuu45ZZbOHXqVM4P3LFjx4CpL+Vs6HS6jJfZ5ZdfzsaNG7nlllu47777AFIz5p/+9Kep4J50Zgo06ujo4JJLLmHjxo3853/+J/X19RiNRv74xz/yzW9+c9bZeCHQ6XSzblNRUUFzczN//vOfeeihh3jooYe46667+OAHP8j//u//5rQ/Jcua5ELzs5/9DIBPfepTfOpTn5ry+9/85jd86EMfymuf8/m+54Ia0/H0009PEe8LLriAsrKygh5vMrt378blcvH0009Pu8373vc+PvKRjzA0NMQVV1yRsigLzfXXX8/zzz/P//2//5edO3dit9uRZZm3v/3tWZ+VxboX161bl3pPXH311eh0Oj73uc9x0UUXsWfPnmn/zmKx8PTTT/PEE0/w4IMP8qc//Ylf/vKXXHzxxTz88MMZ43/HO97BPffcw9e+9jV+8pOfTBF3jYVHE+8CoroSc3UvS5LEz3/+c6xW65Tc1Fyorq7mU5/6FF/60pd44YUXOPfcc1Oz9oqKigyhz4X777+faDTKfffdl2ElZHO95upZaGxsBKCtrW2KddjW1pb6fb4YjUauueYarrnmGmRZ5tZbb+V73/se//iP/5jTRCgXVKtWRVEU2tvb2b59e977UhSFn//851x00UXceuutU37/L//yL9x9990p8W5sbMywzlUmfzaf73suJBIJ4A2P0VIgSdKMx3/Xu97FLbfcwgsvvMAvf/nLBRnDxMQEjz32GF/60pf4p3/6p9Tnk++ZfGhsbESWZTo6OjIm/21tbfMa6xe+8AV+8IMf8MUvfpE//elPM24riiKXXHIJl1xyCf/5n//JV77yFb7whS/wxBNPZNxf73znO7nsssu4+eabcTgcUzJSNBYebbo0Bya7yCAZmfuTn/wEi8XC5s2bZ92HJEl84hOf4OTJk3ziE5+Ys3vz4x//OFarla997WtA0hp3Op185StfIR6PT9l+urVCeMMySLcEvF4vd91115RtbTZbTmlxe/bsoaKigv/+7/8mGo2mPn/ooYc4efLknCJpJ6fiiKKYEtT0Y8yXn/zkJxmxCPfeey+Dg4NcccUVqc9yTRV77rnn6O7u5kMf+hDXXXfdlH9/8Rd/wRNPPMHAwACQ/B4PHTpEc3Nzah9ut3vK2vh8vu+5oC7b7Nixo6D7zZUnnniCQCAw4/Htdjt33nkn//zP/8w111yzIOPI9qxAMhNjrqj31be+9a2C7ROSa9m33HILf/7znzPup8lMrpwHpNaysz1XH/zgB/nWt77Ff//3fy/bSoFvZjTLew7ccsst+Hw+LrjgAmpraxkaGuLuu++mtbWVb3zjG6kgNBWv15tymYZCoVSFtY6ODm644Qb+5V/+Zc5jKS0t5UMf+hB33HEHJ0+eZNOmTdx555184AMf4KyzzuKGG26gvLycM2fO8OCDD3LgwIFp05ouu+yylEV7yy23EAgE+MEPfkBFRQWDg4MZ2+7evZs777yTf/3Xf2Xt2rVUVFRkXXc1GAx8/etf50Mf+hAHDx7kxhtvZHh4mP/6r/+iqakpq/t4Nj784Q/jdru5+OKLqauro6enh29/+9vs3LmTTZs25b2/6SgpKeG8887jQx/6EMPDw9x+++2sXbuWj3zkI6ltXnrpJS666CJuu+22GYPW7r77bnQ63bSTlWuvvZYvfOEL3HPPPfzd3/0dn/nMZ/jZz37G2972Nj7+8Y9js9n44Q9/SENDA263O+X5cDqdOX/f3d3drFq1iptuuimn0rb9/f2p+zYWi9HS0sL3vvc9ysrKprjMc0UQBA4ePJhT7fv05yaRSNDW1sadd96JxWKZtTLYTTfdNKfxQTIG4amnnprRne10Orngggv493//d+LxOLW1tTz88MPzymnfuXMnN954I3fccQder5f9+/fz2GOPZfXA5Mvf/u3fcvvtt/O1r32Ne+65J+s2X/7yl3n66ae56qqraGxsZGRkhDvuuIO6urppPYMf+9jH8Pl8fOELX8Dlcs2aE65RQJYu0H3l8otf/EK59NJLlcrKSkWv1yvFxcXKpZdeqvzhD3+Ysu3klBe73a6sW7dO+cu//MuMKlGzka3CmkpHR4ei0+mUm266KfXZE088oVx++eWKy+VSzGazsmbNGuXmm29WXnnlldQ22VLF7rvvPmX79u2K2WxWmpqalK9//evK//zP/2SkJylKMhXpqquuUhwOhwKkUq0mp4qp/PKXv1R27dqlmEwmpaSkRHn/+9+v9PX15XSOk8d57733KpdddplSUVGhGI1GpaGhQbnllluUwcHB1DbTVVjLNr7pUsV+8YtfKJ///OeViooKxWKxKFdddZXS09OTdX8zpfHEYjGltLRUOf/886fdRlEUZdWqVcquXbtSPx8+fFg5//zzFZPJpNTV1Slf/epXlW9961sKMKWiXi7f99GjRxVA+dznPjfjOBRlaqqYKIpKRUWFcuONNyrt7e0Z205XYW0yfr9fAZQbbrhh1uNPfm4EQVBKSkqUa6+9Vnn11Vczts21ml6uqWK7d+9WqqqqZh1jX1+f8q53vUspKipSXC6X8t73vlcZGBiYcj9Md33Ucac/V+FwWPnEJz6hlJaWKjabTbnmmmuU3t7eeVVYU7n55psVnU6X+v4mP1ePPfaY8o53vEOpqalRjEajUlNTo9x4440Z1fSmq7D2mc98RgGU73znOzOOUaNwCIqyBJE7GhrLmCeffJKLLrqIX//61wsWqTxXPvnJT/K9732PQCCQU3BfOnfccQef+cxn6OjooLKycoFGOD1//OMfufrqq2lpacmosb2c8Pv9lJSUcPvtt/M3f/M3Sz0cDY1p0da8NTSWKZNzqcfHx/npT3/Keeedl7dwQ3K9+BOf+MSSCLd6/BtuuGHZCjcko+hra2szlkY0NJYjmuWtoTGJ5WJ579y5kwsvvJBNmzYxPDzMj370IwYGBnjssce44IILlmxcGhoaS48WsKahsUy58soruffee/n+97+PIAicddZZ/OhHP9KEW0NDQ7O8NTQ0NDQ0VhramreGhoaGhsYKQxNvDQ0NDQ2NFYYm3hoaGhoaGisMTbw1NDQ0NDRWGJp4a2hoaGhorDA08dbQ0NDQ0FhhaOKtoaGhoaGxwtDEW0NDQ0NDY4WhibeGhoaGhsYKQxNvDQ0NDQ2NFYYm3hoaGhoaGisMTbw1NDQ0NDRWGJp4a2hoaGhorDA08dbQ0NDQ0FhhaOKtoaGhoaGxwtDEW0NDQ0NDY4WhibeGhoaGhsYKQxNvDQ0NDQ2NFYYm3hoaGhoaGisMTbw1NDQ0NDRWGJp4a2hoaGhorDA08dbQ0NDQ0FhhaOKtoaGhoaGxwtDEW0NDQ0NDY4WhibeGhoaGhsYKQxNvDQ0NDQ2NFYYm3hoaGhoaGisMTbw1NDQ0NDRWGJp4a2hoaGhorDA08dbQ0NDQ0FhhaOKtoaGhoaGxwtDEW0NDQ0NDY4WhibeGhoaGhsYKQxNvDQ0NDQ2NFYYm3hoaGhoaGisMTbw1NDQ0NDRWGJp4a2hoaGhorDA08dbQABRFIZFIIMsyiqIs9XA0NDQ0ZkS/1APQ0FhqZFkmHo8TCoUA0Ov1qX86nQ5BEBAEYYlHqaGhofEGgqKZGRpvURRFQZKklMUdi8VSnyuKkhJtnU6HwWBAp9Oh0+kQRc1hpaGhsbRo4q3xlkRRFOLxOJIkpT6LxWIZVrYq4qorXRNzDQ2N5YLmNtd4yyFJEvF4HFmWEUURQRCyrnOrYq2KsyrmiUSCeDwOgCiKGS52Tcw1NDQWA83y1njLoApvIpEAmGJlR6PRvNa3p7PMNTHX0NBYaDTx1nhLoAalybIMMEWkFUVJrXnPNTgtXchVwuEwBoMBh8OBTqdDr9drwW8aGhrzRnOba7ypUQV1spt8IVDXw9OP3dfXh16vp6mpaYplnh7NrqGhoZEPmnhrvGlRg9JaW1vR6XSsWbNmUYVSXS8XRRGDwZAxkVCD40RRnBIAp4m5hobGbGjirfGmRBVJSZKQJCm1Jr2UZLPMs4n55DXzpR63hobG8kMTb403FZNzt1XLd6lCO6aLZFd/p4q5uo2ab64Gz2lirqGhkQ1NvDXeNEzO3VbXtwVBSAWqLVdUQdbEXENDIxc08dZ4U5Atd1tlJus3HfVvC81crP5sYq7+i0ajqch4Tcw1NN6aaOKtsaJJz91WFCVrNPls4i3LMh0dHXR0dGC1WikuLk79MxgM8xpfoYQ0PbVNp9NNEfN0y1wNftPr9QsaXa+hobF0aOKtsWKRZZlEIjHFTZ6N6cQ7EonQ0tJCLBZj165dxONxPB4PXV1dHDt2DLvdnhLyoqIi9Pr8H5mFWG+fScwjkQgAw8PDFBcX43Q6U5a5JuYaGm8ONPHWWHGkR2mnVzabjukC1kZGRjh69CgVFRWcddZZqXXxiooKIFnr3OPxMDExQXt7O6FQCIfDkSHm6dHj2cjVZT9fsol5X18fJpMJo9GY2ka1yDUx19BY2WjirbGimKnE6Wx/pyLLMm1tbfT19bFlyxZqampSwW7p2xmNRioqKlJiHo1GmZiYYGJigra2NqLRKE6nMyXmTqdzVjFfLNRrkp5jrk56VMtcjcTXxFxDY+WhibfGiiE9dzu9YchspFvewWCQlpYWAPbv34/NZsv5+CaTiaqqKqqqqoBk6VNVzAcGBkgkElPEfLEs79mYzs0uyzLRaJRIJKKJuYbGCkITb41lT7bc7XwFRVEUBgYGOHHiBLW1tWzYsGHekeUWiwWLxZKy3NPFvK+vD1mWMRgMGI1GfD4fDodj2Qhhttru6nWWJGnaALh8GrdoaGgsHJp4ayxrpsvdzncfXq8Xt9vN9u3bU27wQiIIAlarFavVSm1tLYqiEAwGOX36NOFwmObmZgCKiopS6+V2u33ZCOF07U/VSVN6L/PJddmXyzloaLyV0MRbY9miFiiZT0MRv99Pd3c3sixz4MABLBbLAox0KoIgYLfbcblcWCwWNmzYQCAQYGJiArfbTWdnJ6IopsS8uLgYq9W6bIRwtl7m6WKeXpdda3+qobE4aOKtsexQLT41gGyu1nZfXx+tra0UFxcDLJpwZxuLIAg4HA4cDgcNDQ3Isozf72diYoLR0VHa29vR6/UZkewWi0UTcw0Njaxo4q2xrFDd5K+88go1NTVUVVXlLWDxeJzjx48zMTHBWWedRSgUYmhoaIFGPDPTjV0URVwuFy6Xi6amJmRZxuv1MjExweDgIG1tbRiNxoyCMWazeZFHPz2zifnQ0BA2m43S0tKM6m+amGtoFAZNvDWWDenWthqclq9wezweWlpasNls7N+/H5PJRDgcXqAR50Yu0eaiKKZEGpLXQhXz/v5+WltbMZvNGWKu5m8vByaLudvtBsDpdM5YylUTcw2NuaGJt8aSky13O99OYIqi0N3dTXt7O2vXrqWpqSkl/EvZmGSubm+dTkdJSQklJSUAJBKJVMGYnp4ejh8/js1mS7nYC1HKtdCoYg2ZhXXi8TiQvDbpYq5Gs2toaMyOJt4aS4r6QlfFVbXE8hHcWCzGkSNHCAaD7N27l6KioozfL7UgFCLPW6/XU1ZWRllZGUCqjOvExMS0pVyXE7n0Mk8X8/Rodg0Njalo4q2xJKS/vOfTCWx8fJwjR45QVFTE/v37s1qf+UwE1OCy5Y7BYKC8vJzy8nIgOYFRc8xPnz5NJBJBEAQGBwcBcirlWkhmu465iLkoilMC4FbCd6OhsRho4q2x6OSSuz2b21ztBNbd3c2GDRuor6+f9sW+lC/8xTq20WiksrKSyspKINlw5ZVXXiEej9Pa2kosFlvUUq75ehtyFXOt/amGRhJNvDUWlfQSpzOlgM1kead3Ajv33HNxOBwzHnMpS5Qu1bHNZjN6vZ6GhgZKSkqIRCJTSrm6XK6UmDscjmUVPJYu5ur1U/P+06u/aWKu8VZFE2+NRSHfEqfTubrTO4Ht3r07pxady6W++FIhCMKUUq6hUCgl5r29vciyPEXM5yuEhexlDmhirqGRhibeGgvOXEqcTnabZ+sElitLLd7LbeIgCAI2mw2bzUZdXV2qlKsq5j09PQAZ1d9sNlteQriQ55xNzNV/0WiUQCBAX18fa9eu1cRc402LJt4aC4qau51vidN0wQ2FQqna4Pl2Apu8r8VmJYiFWsrVbrdTX1+Poiip6m/j4+OpUq7paWm5lHJdrHOf3DEtGo0yODjImjVriEaj0zZZ0TqmaaxkNPHWWBAm527n+6JU3eaDg4McP358Xp3ANMs7PwRBwOl04nQ6aWxsnLWUa3Fx8ZTSs0t9zuqaeXr7U0VRUr3M08Vca3+qsRLRxFuj4EzO3Z5L5ylFURgdHaWvr2/encByEe+Femm/GcRgcilXSZLw+XwZpVxNJlOGZQ5Ld+6T09Sm62U+Wcwnd0zTxFxjOaOJt0bBSE/vUV+gc+0ENjw8jCiK7N+/f94NRXK1vLUXdW7odLoppVzVgjH9/f2cPHkSURQZGBgAWPRSrrnkmGcTc1mWNTHXWDFo4q1RECYHpc3V2lY7gakduArRCWyp17yX2oW80Oh0OkpLSyktLQWSpVxffvllRFGcUspVtc4XspRrvoV2ZhLzaDRKJBJBFMUp0eyamGssJZp4a8wbWZYZGRnB4/Fk1BTPh8mdwMbHx1MNLebLW0FAlxOqwFVXV1NRUUE8Hk9Fsnd2dhIMBqeUcs0l5S9X5lslb/LEUxVzSZKQJGna1DRNzDUWE028NeZMeu52IBBgZGSEVatW5b2fbJ3AJiYmCia4Sy3eb9WJgypkBoOBioqKVNxCNBpNudnVUq4OhyMl5i6Xa17V3wpd4na69qfqvZ/ey3xyXXZNzDUWCk28NebEZDe56m7Mdx/d3d2cPn2atWvXsmrVqoxOYIst3gvxon2rvrxnut4mk2lKKVfVMj958iSxWAyXy5UKfnO5XHllGSx0ffrZepnHYjHGx8dpaGjQxFxjwdDEWyNvsuVui6KYV9vNWCzG0aNHCQQCnH322Vk7gRWqjWeu4r1QFvJb3fKeDbPZTHV1NdXV1SiKQjgcZmJiAo/HM6dSrovdXGaymAcCAXp7e6mpqSEej2dY5ulNVpZTOVqNlYcm3ho5k567rShKxhpfPv23c+kElm8/75lY6oA1jdwRBAGr1YrVaqW2tnZKKdczZ86gKEpG9Te73T5ljXopr7v6bKT3Mk+3zIEp6+WamGvkiybeGjkhyzKJRGLaEqe5WMqKotDe3p5zJ7A3g3jDW9PyLpSAZivlGggEUpZ5V1cXgiBkiHmhPDZzZbo888ludtXFDpqYa+SPJt4aM5Jr7vZslvJSdgLTLO83D4IgpNIIGxoakGU5Jebj4+N0dHSk7tH+/v5U9bfF/B5Uy3umc5gs5uozplrmgiBoYq4xI5p4a0zL5BKnMwXczLTmPddOYIVc84alc6e+VS3vxUAUxSmlXHt6ehgYGGB4eJjTp0/PWsq10MiynHee+XS9zKcTc71er00M3+Jo4q2RlfS+2+lWwnRkE+/5dAIr9Jo3LP1a6FuNpbjWoihisVgwm82cddZZM5ZyVf+ZTKaCjmE2y3s2ZhLzWCyWeh4nB8Bp9/ZbC028NTLIt++2ymTX9HLqBJYu3ovNW/WFutQxBukV09JLuSYSCbxeb6qP+YkTJ7BarRkFY+ZbyjVfy3s2chVzrf3pWwtNvDVSzKXvtkq65V2oTmAL4TafjlAoxJEjR0gkEpSUlFBSUjLvYiHqsd+KbnNYPo1J0tHr9RmlXOPxOB6PB4/HQ3d3N4FAYN6lXBcjzzy9lzkkJwyxWCxV/c3n8+FyubBYLJqYv0nRxFsDeOPhz7fvtoogCEiSxLFjxxgeHmbbtm2pIhxzYaHc5tkYHh7m6NGjVFVV4XA4phQLKS4upqSkZNb8Yo03WOoJS673r8FgoLy8nPLyciBZf0Ct/tbR0UEoFJpS/W22mA31GVoM0j0M8MZ1P3HiBJs3b055ATTL/M2HJt5vcVQ3uRpNPtf6zOFwGEgWqFjMTmC57gumCoq6Jt/f38/WrVspKysjkUhMKRbidrvp7e1FUZSMtVKbzZbTtVpqIVsqlqPlPRtGo3FKKVc1x7ytrY1oNDprKdeljK1QjyvLcqpXufpzNBqdMTVNE/OVhSbeb2Hm4yZP30dfXx8nT54EYM+ePQVpMrHQ4h0Oh2lubkaWZfbt24fNZktdB/VvJhcLCQQCuN3uVEpSehRzSUkJZrN52mO/1Vgua97zxWQyUVVVRVVVFZC8b1TLfLJ3pri4GKfTOe+AtUIweSKuCnR6L/PJYq4Gv+n1eq3JygpAE++3KOnW9lxrLqd3Atu+fTvNzc0Fe+AXcs1bTV2rrKxk06ZNOa1rp+cXqylJauCTGsVsNptTQp4e+KRZ3ovLQlq+FosFi8UyxTszMTFBX18fkiRhMpnQ6XR4vd4lW2qZznWf/qxPFvP0XuaqmGsd05Yvmni/xVBzt7u6uvB4PGzfvn1OD6XX66W5uRmr1cr+/ftTAijL8ryDvGBh1rxVN/mZM2fyTl3LNr7JUcyqRdbV1ZVqe2k2m1OV6QpxXVYKbxbLeyamK+Xa3t5OIBCgpaVl1lKuC4EqxrlMGjQxX7lo4v0WQk0vkWU5JeJzcZN3d3fT3t7OmjVrUp3AVJfzYjcTyYd0N7ndbp/ye/WlNRf0ej1lZWWUlZUBycAnt9vN4OAg0WiUp59+eop7dTEssqV8wb4ZLe+ZUEu52u12TCYTGzZsSFV/Uyd1giCkotjziZvIB/UZnMt+cxXzye1PNTFffDTxfguQnhequtP0en3eQqt2AvP7/ezduzejE1h6qcdCUEi3+djYGJDsXrV9+/aCrMnPhtFopKqqCoPBQDQaZfv27RnuVVmWUy/wkpKSBXmJLyVLbXkvJelLUZNLufr9fiYmJhgbG6OjoyMjD71QpVzV56YQk8PpxFwNgItEIoiiOCUAThPzhUcT7zc50wWl5dvCM70T2IEDB6bkvqoPeaEEtxBu8/RGKIIgsH79+kUR7slMF/yWbpGpbviSkpJFKeG5GLzVLO/042cTTlEUcblcuFwumpqakGU5Vf1teHiYU6dOYTQaM3LM53IfFFK8JzM5PkYVc0mSkCQplWeuifnCo4n3m5j0EqeTH55cxTvfTmDLxW0ejUZpaWkhEolw7rnn8uKLLy6ZRTb5uNkssulKeKpiPt+qX28lllq8c437EEWRoqIiioqKWLVqFZIkpYIg+/v7aW1tnVMp1/m4zfMlW5MVdXL62muvceDAgQw3e3pddk3M54cm3m9CcilxmovQpncCO+ecc3A6nTNuX+ggs7lOBFQvQXFxMWeddVbqZbFcy6NOfomrJTzdbjc9PT0cP34cu92eYZEthQchH5ZSQJdavOd6fJ1Ol6ruB3Mv5TrXQkuFQBXlya52tZe5+rvJa+aamOfP8n4DaORNrrnbswntcugElq/YKopCZ2cnnZ2dU7wES1mmNN/jTi7hGYvFUi72U6dOEY1GcTqdGYVCljqveDmx1OJdqApr05VynZzRoMZOqKVcF7PC23So3ofpLPNsYp7eZGWpx78S0MT7TYSau53LzHs6t/ly6QSm7ivXF3EsFuPIkSMEg0HOPvtsXC5Xxu+Xs+U9G0ajkcrKylS52fTc4v7+fiRJoqioKOViX4x0pNlY6oC1lWh5z0aupVytViuQtNyXykOjLtVNJlcx13qZz44m3m8CJvfdzsVllk28C9EJrNCFVXJhYmKClpYWXC4X+/fvz9pIIhfxXqgXfqGFTC0UUlNTg6IoBIPBVBnX9OC3eDxONBpd0tSppWA5iPdiiM10pVyHh4dJJBI888wzOJ3OlGVeiEY7uZKr9T+dmKsd0yB7KVdNzDXxXvGkp4DB1GjQ6Zgs3oXoBLZQhVWme+GoOeenT59m/fr1NDY2zhhMt1It79n2b7fbsdvt1NfXp9KR3G43Y2NjtLa20tnZmbLKF6J/dTaWOl1rqd3mS3F8tZSr0WgkHA6zY8eOlIfm5MmTxOPxjOWWhaw1MNdiTbOJuWaZv4Em3iuU9NztuZQ4VcVbkiROnjxZsE5ghUwVg+lFIB6Pc/ToUXw+H2effXZGznk2VtKa93xIT0caHh5mzZo1iKKYEfSktrxUy7gulGv1rWx5L4fJw2QPTbZSrpOrvxVKBKdzm+dLNjFX33vxeDy1TbqYqwGqb3Y08V6BTA5Km0ukpiiKSJLEoUOH0Ov1BekEVkjxVs8nm/B5PB6am5txOBzs378/5zSqpXCbL/VLRI1gTg96Ul/gp0+fJhKJ4HA4UpZ5oYLf3spr3ksdMJbt+NlqDajLLRMTE/T09BS0lOtCXQM1uE0lXcxVy1wUxazR7G82NPFeYcyUu50riqIwPDyMoihUVFSwdu3ags2SF8JtrqIoCj09PZw+fZq1a9fS1NSU8/kX0qW/kjEYDBnrpJFIJLVePjAwQCKRwOVypcTc4XDM+cWnWd5LQy7COXm5JVvhIEEQMnLMrVZrzudVqB4HszGbmHd1ddHQ0IDFYsmIZn8ziLkm3iuEXHK3c0HtBOZ2uwEKJtywsG7zeDzOsWPH8Hg87NmzJ9UQJB9yEe+FeKiX86TBbDZTXV2d6pIVCoVwu91MTEykKtOltz0tRPnOhWapxXOpjz8Xqzdb4SC1lOvo6Cjt7e3o9foMy3yme6FQbvN8SRdzRUm2K66trZ1imb8Zeplr4r0CyDV3ezbSO4GdffbZPPvsswV1bxUy2lxFURR8Ph/Nzc1YLBYOHDgwp2pjS2V5r6SXgiAkG2vYbLaM4Lf0F7jBYMgQ8+mC397KRVqWo9s8X7KVclULxmQr5VpcXJzRz36pr4E6BiDVDU19/mVZJhaLZZRyfeaZZ9DpdFxxxRVLOeS80MR7maPmbj/++OOcc845WbthzUZ6VPbatWtZtWpV6sYupNguRLR5f38/XV1drF69mtWrV8/rpfxWCFgrJJNf4OnlO/v6+jh58iRWqzXlYleLhCz1+S61eC+H4xdaOCe3wM1WytVsNqcs81gstuQtcNV3mzqO9KpvQIaY33fffdjtdk28NeZPeu52eieffJncCUx9+NSHu5DiXUjLW81Z7+np4ayzzkoFXM2VN2uq2GKSXr5zzZo1qYpfbrc7VSREzSuGpZ0svdnEMx8Ww2WdrZSrWjCmt7cXv9+fymJQRT9b/YWFJN1TmY10MQ8Gg/PKtFkKNPFehsiyTCKRyLj5dDpd3sLodrtpaWnJ2glMjVBfjpa33++nubkZQRDYuXPnvIUb3jqpYovJ5Ipf0WgUt9udiqd44YUXMtqezif4LR+W+novVZ63ylJMXib3sz9x4gSSJCEIAl1dXRw7dmzR6/NLkpTzenYwGMy7KNVSo4n3MmKm3O18gsFy7QRWyACzQu1Pdcc2NTXR09NTsNm6ZnkvPCaTierqaiorKxkeHmbXrl2pCOYzZ84AZJRxzSd6OR/e6pb3clhvVhQFh8NBU1MTkFmfv729PVXKNV3MC+1mz8cDodaJX0lo4r1MmFzidHLutpqXPRv5dAIrtHjPx5KXJIkTJ04wMjLCzp07KS8vp7e3d9m0GNXIH6vVSlFREXV1dSiKkjV6Ob3taXrA03xYavFeast7OYj35DFMrs+vlnKdmJigra1tSrMdp9M5bzFXLe9cCIVCmuWtkT/pudvp1YTSycVtnm8nsIWwvOcikIFAgObmZgwGAwcOHEi9xBciAG4peKtNGtTzTb/mgiDgdDpxOp00NjYiSRI+nw+3250KeLJYLBnRy3P1uiy1eC/18Rcrx3o+Y1BLuVZVVQGZzXbUegPzLeWaj3hrlrdGXuSTuz2T0MqyzKlTp+jt7c2rE9hCrHnnu7+BgQGOHz9OQ0MD69aty3hAC130pdBpbLkeV2MqOp0uI3o5kUhkFAg5duzYnN2qSy2ey8FtvtjBYZPJN2hucinXUCjExMQEHo+Hvr4+ZFnG5XKl7odc4idyFW+12pwm3ho5kW/u9nTCqHYCUxQl705gS+k2lySJ1tZWhoaG2LFjR6ri1+T9aZb3ymMu56vX66cEv6li3traSiwWS7281eC36cRhqcVbc5vPz/pPrzegLrlMLuUKZPQxz1bKNV/L2+FwzGm8S4Um3kuAWiQgn0ppOp1uypq32gmspqaGjRs35v3ALoTbPJd1+WAwSHNzM6IozlhTvZDWsmZ5Lz7zOfd0t2p6Uw23201vby+KomS42G02W0Y9/KWerC215b0cxLuQxZ8ml3JV4yfcbjednZ2IophR/c1qteY1gdCizTVmRHWTq9Hk+VRKSxfaQnUCK3TVsVwEcmhoiGPHjuXUelRb8y7Msf2vHcfz7KtEB0cw1VZRdP4e7Ns3LNg1KfT5ZmuqEQgEcLvdjI+P09HRkQp+Ky4uXlLLV63JsNT321KL90Lmmk+On5iulKvRaEQQBMLhMGazedrvRHOba8zIfEucquLt9/tpaWkpSCewxQxYk2WZtrY2+vv72bp1aypQZSYK7TZ/K6aKBQ81M3LfEyiJBDqHDf+rxwgeP031B9+Ja9+uBT32Qp17eh1u9eWtVvsaHBwkEAhw6tQp3G53qu3pXErqzgX1Hltqy3up77vFDJrLVgnQ5/PR2dlJKBTihRdemLGUayQSQZIkzW2uMZV0a3su7Tsh+cKamJigo6ODxsbGgjQUWaw171AoREtLS2pd3mq1zmt/cx3bW27tORLF9+gh9HodltX1yQ+rIdzVy/hDT+HYtRnRnL02+byOu8jXeXLpzhdffJHy8nIkSaKrqytlVaX3MF8oYVHv17f6mvdSNSaBN4IhnU4nDoeDNWvW4PF48Hg8GaVcZVmmtbWVvXv3AhTU8u7v7+ezn/0sDz30EKFQiLVr13LXXXexZ88eIPmM3HbbbfzgBz/A4/Fw4MAB7rzzTtatW5fzMTTxXkBmy93OFbUMZTQaZdeuXakqRvNlMSxvNX2tqqqKjRs35vXSLLTbfLZ9JRIJfD7fnNJSZmLJJg1jHhJuD9Y1jRkfGyvLiA6PEx0ew9JYu2CHX0oBc7lcqcp8aoEQt9udkVOs5pcX8vvOlia32CwH8V4OY5AkKdUGtLS0NHU/qKVcn332Wb773e/S0dEBwOc+9zkuueQSDh48mCr7OhcmJiY4cOAAF110EQ899BDl5eWcPn06oxPiv//7v/Otb32L//3f/2XVqlX84z/+I5dffjknTpzIud6BJt4LhJq7rYrjXG9ktROYoihUV1cXTLjVMS1Uqlh6+trWrVuprq7Oe3+L6TYPBAIcPnyYcDiMIAipSmAlJSXzqgS2pO5Lgx5Br0eOxRFNb7iNlVgc0aBHXCBX8lJ7OCavOU8uEBIOh1NtT9U0pPQyrunBb3M5Niy923wpj69WilzqXHNJkrIKoVrK9Z3vfCfvfOc7eeaZZ3jPe94DwD/+4z9y8uRJduzYwfe+972UVZ4PX//616mvr+euu+5KfbZq1arU/xVF4fbbb+eLX/wi73jHOwD4yU9+QmVlJb///e+54YYbcjqOJt4FJr3E6Xz6bqudwNrb21NNIFQLvlAslNs8EonQ3NxMIpFg3759c3ZHLZbbfGhoiKNHj1JfX09DQwORSGRKMJQq5MXFxdO2wZzuuLBEEdDlxZhW1RI9fQZxXROiISnk0f5hnGfvwFhVuIlgNpZrS1CLxUJtbW1G8Ft6jnm6G17tYZ4rmtuceRsshSLXVDGj0UhRURHf/va3EQSB4eFhnnzySerr6+d03Pvuu4/LL7+c9773vTz11FPU1tZy66238pGPfASArq4uhoaGuPTSS1N/43K5OOecczh06JAm3kuBGpTW0tLCunXrZoxwnIn0TmB79uyhuLiY9vZ2otFoQce7EJZ3NBrlueeeo7Kykk2bNs1r9r3Qlnd6EN327dspLy8nFoul0lIaGhoyWh/29vZy4sQJbDZbSswXcv10vgiiSNG73kboN48Q6egBBRAFrBtWU3Hd25c8qGmhyOeeSQ9+a2hoQJZlfD4fExMTDA0NcerUKUwmU0YZ15mC3+YT11IoNPFOkqt4h0KhjDicyspK/uIv/mLOx+3s7OTOO+/k7/7u7/iHf/gHXn75ZT7xiU9gNBq56aabGBoaSh0nncrKytTvckET7wKRXuJ0ZGSEVatWzekBnq4T2Fy6is1GIcVblmVGRkbw+/1s27aN2tr5r6Uu5Jq3WgM+Ho+zb98+bDZb1muRrQ2m6nJV109dLldqm+kqPy1V+pCxpoLyT3+YwLFTJDw+DMUubFvXo7MWpo54NpZ63Xc+qVJqvnBRURGrVq0ikUjg9Xpxu9309PRw/PjxGbtjLZdI7+Ug3ks9qc3VdR8IBOa1VJLtuHv27OErX/kKALt27eLYsWP893//NzfddFNBjgGaeM+bbCVOsxVUyWU/HR0ddHV1Ze0EVmgruZD7jEQiHDlyJBXVWwjhhoWzvN1uN83NzZSVlbFnz568XjIGgyG1fqoWD1HFXO2cpVpoJSUlee074Qvgf/UYkb4hdE47jh0bsTTV5XeiWdDZLLjO2THv/eTKcljzLhR6vT4j2Cm9O9bp06eJRCIZNbhzbUG5kCx1nrfao2Gpr0Oulnehc7yrq6vZvHlzxmebNm3iN7/5DUAqTXZ4eDgjFmh4eJidO3fmfBxNvOfBdLnb+YpiLp3AFkK8C7GmPD4+TktLC6WlpdTV1dHd3V2YwbEwFda6urpob2+fsVVqPvtUi4fU1dWl8vDdbneGyxWSUfelpaXT1pyODY/R/71fEmrvRhBFFEli4rFDVN5wFUX7z5rzGJeKpS5SslDHzxb8pop5f38/kiShKApnzpyhuLg4a9nOhWY5WN5LbXVD7ulqhRbvAwcO0NbWlvHZqVOnaGxMZn2sWrWKqqoqHnvssZRY+3w+XnzxRf76r/865+No4j1H1NztbEFp+Vjeo6OjHDlyZNZOYHOx5mdDFMU5B8Glewo2btxIXV0do6Ojy6JLWTYURWF0dBRFUdi7dy9FRUVZt5vPiza9WITqch0bG+PEiRN0d3dz8uRJHA5HyjJ3uVypl8v4n54mdKoT68bVCHo9iqIQPTPA6O8exr5lHXrXyiogsZQs5hLF5IYaw8PDtLW1ZQS/pfcwt1gsCz62pXbdL/XkQSUfyzvX2hO58KlPfYr9+/fzla98heuvv56XXnqJ73//+3z/+98Hku+YT37yk/zrv/4r69atS6WK1dTU8M53vjPn42jinSeTc7ezRZPnUuM7305gy8ltHo1GOXLkCOFwOMNTsBDlVguxP7/fz8DAAKIocuDAgVkDjtRjzxfV5QqwZ88eJEnC7XbjdrsZGBhAkqTk+qrFRvDVYxjKSxFen7wJgoCprorw6W5Cp7px7t027/EsFsuhPOhSHF8QBMxmM3q9nh07dmR4YoaHhzl16hRGozEl5PlmLuSCWp51KS3fpSzQMnkcS+E237t3L7/73e/4/Oc/z5e//GVWrVrF7bffzvvf//7UNp/5zGcIBoN89KMfxePxcN555/GnP/0pr572mnjnweTc7enWdWYLLlMrjsmynHMnsOUi3mpAXXFxMbt27crwFCxll7LpUFuOOp1OrFbropXJVEm/P0wmE9XV1VRXV6fqKbvdbsb7B/GNjCCIIhZRTllzoiAkI8TfYpXh5stSTh7Src7JnhhJkvB4PFMyF9LLdk7necvn+LD0qWpL7TZXY5FyDVgrdF3zq6++mquvvnra3wuCwJe//GW+/OUvz/kYmnjnQHrudi6pIDO5uNM7gW3YsCHnmzzXjl35kI/YKopCV1cXHR0drF+/noaGhinXoNAlSOdjyaulDwcGBtixYwc+n49wOFywsc2X9E5JDQ0N9B7tYuyxQyiiiM/nY2x0FL03iMlqIVxsx5ZHe8OlZqkD1mB55phPrvQVj8dT6+UdHR2Ew+FUD/OSkpKMZZVcWQ5pWsvB8s4n4j0UCuFyuRZ6SAVHE+9ZmByUlksUZTahnW8nsKVMFVPzzgOBAGefffa0N/pCWN5zEQK1SIzq2bBarfj9/iXv7jUT5VdeSOzMAJHuASwWE1IkQcJiQbhgDx2jQ5zo68kpJW258FZ0m6vHzlW4DAYDFRUVqV72kUgkVcb1+PHjJBKJ1HdeXFyc03e+HMR7Oax55yvehcqQWUw08Z6B9NztfCqlTRbaQnQCWyq3ucfjobm5GafTyf79+6eNll6IMc5FvNXo9/LycjZv3px6eJd7VzFzXRX1f3sz3hdbiHT3oXc5cO7einXTGoCsKWmqhZZvFbCFZqknSUvtNp/rsc1mc8aySigUSn3nPT09ABku9mxlezW3eZL0DKDZUPO8VxqaeGchW+52Pg+D6jZXFIW+vj5aW1vn3QlsscVbURR6eno4deoU69ato6mpadZrUGiBFAQh56WCdLf+pk2bqKvLzI/OZWwL+cLL5boYy0sov/qirL+bLSXNbDZnBELNNMmadayyDIqCMM/qeEtJPsdXZJnY4CiKLGOsKkc0zP21WKiJgyAI2Gw2bDYb9fX1WXtWGwyGjDKuJpNpXiWZC8VycJur6925XIeV2MsbNPGewnz7bqt/k0gkaGlpwe12F6QT2GKuecfjcY4dO4bX62Xv3r0Z3XDmsr/5jC8X0YvH46lystO59XOdWBT6pbcQL9FsKWkejwe3201XVxfHjx/H4XAQi8UIBAIUFRXl9DJN+AJMPPECvpdaUBIStu0bKbnoXEw1FTmPLeH1E3NPgFTYiWau5JstEO7uY/S3DxNq7wFZwVRbSdk1F+PYuWlOx18ol3G2ntVq2d6+vj5OnjyJ1WpNiVA8Hp/XBG4+LAe3eT4TiFAopFneK52ZcrfzIZFIMDIygsvl4sCBAwVJB9HpdAV3CWYTR7WLmc1mY//+/XlFZ6sCWUjrYzbB9fl8qfHu27dv2vEudT/vhTy22iVJnSBGo1HcbjenTp2iu7ubrq6ujFzjbKUgpXCEgR/+Cv/hE+hcDgSdiPuhpwi3dlL38Q9grCidcQzxcQ+j9z1GoKWVWDgMooy/uHLOIjhX8hHv+ISXgR/9mkjPAKa6KgRRJNzdx+Bdv0H/iQ9iWdMwp+MvhtWbrWyvx+NheHgYWZZ55plnptQUWCxXdq5R3stlDJrlvYJJz91WA07m0wlscHAQh8PBnj17Ciq0UNj1pHRLWVEUent7aWtrY/Xq1axevXpOHgd1X4US75ks+f7+fk6cOMGqVatYs2bNjMdc7mvehURNSevp6WHdunWYTKZZu6QFjrQRONKGZU0Dojk52TRWlBE62Y730GHK33HptMeTozEGfvRrAkfaMFSWItqtcLqTgR/9mrpb34/t9XX7xSAf8Q40nyTSM4B1w2oEXfLetaxtJNTaifeF5jmL91JYnQaDgfLycgwGA16vlz179qTWy0+ePEk8HsflcqVc7AsZ8LhcLO9c3pNqyqbDsfKKIL3lxVuWZRKJxLzc5JDZCayuro5EIlHQh2MhxTuRSHDs2DEmJibYvXv3nBvRq+dbqId3Ore5LMucPHmSoaEhdu7cSXl5eU5jWw4pTIvN5JS06bqkWV5pRQpHsKT1/RZ0IqLdSqita8ZjBI+fJtjagWVtUviVaBRqK0j4A3iefnnZinfc7Uluq3vjXhUEAZ3VTLR/eE7HXy7VzSbXFAiFQqm0NDXgMb2H+Xx61mcbg2Z5LzxvWfHON3d7JiZ3Auvv78ftdhd0vKoYSpJUsLUsdW3++eefx2KxsH///nm5+NMt70KQTXDD4TCHDx8GyCtyf6kt7+Uyccjmbp2YmGCwpZ1AwI+3uxuT2ZwqFKPE4ugcM7/YYqNukOSUxQ6AIKB3OQh39y3wGWWSz3XWu5ygJAPWhLTJphSKzLnX+VJXl8s2cU4Pfqurq0NRlFTw29jYWMobk972NJ9KX5ORJGnexWbmS77ira15rxBUN3lHRwc+n4/t27fP2U2erRPYQtUhL2SjDrXWdywWo6GhYVa3c65jBAo2xsmCq9aBr6qqYtOmTXlZ90tteS8X8Z6MmmvsfPtF9BztIB6LIVksRKJRfGf6IRAiWmRG6O+fNiVN57AlC8ElJAT9G6l5cjCMpXFx82fzsbwduzbjfux5wqe6MdVXIeh0RAdG0DtsuM7ZOafjL7XLOJfjC4KA0+nE6XTS2NiIJEn4fD7cbjf9/f20trZisVgy0tLyMRiW+hqoY8jHba5Z3iuA9NxtQRDm7N6eqRPYQhRUgcJFcycSCU6cOMHo6CiiKLJ27doCjC7TbV6o/cmynDFJ2rx585wKKiyleC912lQumBtqqLz+SkZ++2fiA+PYUXAVFWO+4kLkvdtmTEmzb12Pub6acHsP5qZaFFlGGfeAzYlrkTui5SPehtIiav7qOkbu/RPh7n6QZYxVZZRdfTHWDavmfPzlZnnPhk6nS32fkHw/qC72rq4ujh07lqr8pvYwn0kYl4vbPJfrEAqFUBRFW/NezmTL3dbr9XOykFULsLy8PGsnsIVI6yrUfgOBAM3NzRgMBnbt2sUrr7xSoNG9UX2uUCKpnu+rr75KKBSatl1qrmNbrtbvcqHo/D1YN64m1NqJIklYVtdjqq9OidF0KWnFxcXY3n0pwgNPET0zQDQUBkGk/N2X4Tx7+6KeQ76pYtZ1TTT+3w8T6R1CSSQw11dnuv/ncPzlbnnPhl6vp7y8PBVLEo1GU2Le2tpKLBabEvyWfszllOc9G6FQCEBzmy9Xpsvdzle80zuBzWQBLpTlPd/9qtHZasGYSCSSsmwLGRVfqHOPRCJ4vV7KysrYt2/fvNb68xHvuNtD4LUTxEbGMZS4sO/cjKl69qC4mVgpEwdjeQnG8uwBi9OlpLndbgZDXqT9m3DsWINJ1CHoFEqvOLjoVuhc7mVBr8eyqm72DXNgqQPWFmLyYDKZqKqqoqqqCkVRUj3M3W43vb29KIqSkYq4ksQ7EAig0+nmtca/VLzpxVuWZWKxWNbc7Xws2Xw6gS3EmjfMXRjT66qnR2cXOrULCmfh9vX10dHRgclkYteuXfMeX67jivT00/+DXxE9Mwg6ASQZ42OHqL753di3rp/zsd+MTNclbXh4mLjfz3PPPTclJW2hWWq39ZvB8p4JQRBS1f5qa2tRFIVAIMDExEQqFVF9zhRFSfUwX2xyDexVg9WWerIxF9604q26ydVo8mwpYLmKbL6dwBailOlc9xsMBmlubkan002Jzk4PMCvUzTvfc5ckKbUev3r1asbGxhat4IuiKIz+/lGiZwawblyDoEumqkVO9zBy758w1VTge/kovleOoSQSOHZtpuj8PRiKZ+9ItFIs77mSnpLmcDg4efIkmzZtSllnakqaKuazrZtmQ1EUor2DxMcm0LscmFfVZUSJq9u81cV7Mc9fEAQcDgcOh4OGhgZkWeaFF17AZDIxODhIW1sbZrM55WIvKipalLa8kiTlZE0vRDvQxeJNKd65ljidTbzn2glsIS3vfPY7ODjIsWPHqK+vZ/369VNeKoWODof59eAOhUI0NzcjCAL79+/H6/UyOjpasHHNJqCxkXHC7T2YaitTub+CIGBqqCbS08+Z/7yLSE8/OpsVRIGRXz1E8Php6m59P3rX9AEvb1bLezpUAVUDnNJT0txuN21tbUSj0by6pEmBEEM/vx9/8wmkYBjRbMK+eS1VH3gHhpKijG2XOmBsKYO1ljrSW33X1tTUUFJSkoqTmJiYoLu7OyWW6W1PFyKtLJ81b6vVWvDjLwZvOvHOp8TpTCI7n05gCyXeua55p/ey3r59+7STjoUQ77n24B4ZGeHo0aNUV1ezceNGxNf7Ws9nbIqikPD6QXnj5xl5ff2fyS8/QSA+4SPhC2Lftj4V0CTHEwRPdOB7qYWSt50361jeSkx+7tLbX6rrpvl0SRu97zE8z7yMqbYSU301UiCE7+WjoNNR9zfvZ3wiTteZMD5/iIlxHZKkoNMtvogvB8t7qV3A6cI5OU4iFotNmcQ5nc7U0orT6SzI+HMVb9VtvhIn2G8a8U4vcQq5VUpL7/6VXkxjvp3AVAEr9IOUi0tatV6BVC/rmfYHS2t5K4pCe3s73d3dbNmyhZqamox9zVX0In1DjNz3KIET7UnxrqtEXj2z58RYUYqlsZbAyXZ0Dlvq+NGBYQSdDtFsyohEFg16RLOR4MnOGcV7Jb4Y5kMu3dum65I2PDw8JSXNIejwvXwEQ3kJ+qJktoHeYYP6KoInTvPq0z08d0rA50+QkBL4/Qb05hGuuKQck3FxhWypA9aWg3jPNAaj0UhlZWXKoEifxPX19SHLcqryW3FxMXa7fU7XM9froLnNlxg1dzvfRvTqzEwVb7VM6Hw7gan7XWzxHh4e5ujRo9TU1KSs1/nucy5jzFVwY7EYLS0thMNhzj333Cm5lnO14uNuL2fu/DnhzjMYq8pBEAi8egzp6AmiF16AsaKU6MAwcbcXQ5Ez2ZRCEBB0OsquuZjYyBihE+2IFjNyNIbeacd5zg6Cx05NOZaSkBAtKyNSNXDsFO5Hn0MOR7FvXU/J5echLtD6Yz4v3Nm6pAW7+zD1DWCuKscWiWAymZLFkGwWxgYDPPeSH+x2murNRGMx+voVjrYGqKkyc/au2eMRCslysLyXOsc6nzFYLBZqa2tTwW9q0KOaYy6KYkbb01w9oPm4zVdimhiscPFOL3E6177bkMxfDYfDNDc3Y7Va590JTN1vocsETueOl2WZtrY2+vv72bp1K1VVVTnvc64COdP+cpkMeDwempubcblc7N+/P+t1mqvl7X3lCOGuXmyb1qR6UlssRnwvNeN+8kUS/iC+V44iBULobBacuzZT/b5r0Tls2Datoe5vb8b/YguR/mGMFSU492xDkWQinb3EhscwVJQiCAJxtxdEIafOWUvtNu//0a8Z+P4vkfwBFJLpUY7f/pkN3/xCypotFPM918mu1tD6jZx+/jjhMTcjUjIA1Ww2YwxGGDTWEJD0rC4zJp99RcFkENCbRE6cCiy6eC8Hy3upWoEC8/I4Tq7DL8syPp+PiYmJVJEgk8mUUcZ1uuC3fFLFNPFeZArRd1v9cnt6euju7mbNmjWsWrWqIGlJUFh3NGQXRnXSIcsy+/bty/tGLLTlPZvbPL172dq1a2lqapr2es81+C3Sl3RzC2kPryCKKAY9ow8+iRKLY6qtwFRTQcIXxP3kiyCK1H74egDMdVVY6qunjLvs6osYe+gpQic7ABAtZkou3Y9j18zivdRu88CJdgZ+8EvkaAzTqjoEQSQRCOJ7sYX+7/+Sxs98pODHLOQ5W4td1F19McO/eABR0aHYLITGJwi7Pbg3rGci4GdsLIbFYkkeVwC9TiAaW/ye4ksd7b7UbvN8vZ8zIYoiRUVFFBUVsWrVKiRJSnlkenp6OH78eCqDQa38phoB+ax5a27zRSS9xOl8+m7H43EgmVO8Z8+eVHnA+bKQ9c3TxUwN8qqsrGTTpk1zcpctpttckiSOHz/O2NhYTt3L5uoV0Bc5UF5v76reG4IgQDBMTB7DtnFNKkLZUOwEWcZ3+ATlw2OIpUVZ9ykIAqVXXYht6zpCp7pBlrGsbsCytmFKulI2ltLynnjkORK+AOampHAD6O02JI8f92OHCi7eC3GuJRfvQ9Dp8Tz5AnG3F1dVBUXXXUnVxl0M/mGIWCJOzOcjFo2hABM+L/v3FC16b+mldpsv9fHVd8lCXHOdTkdpaSmlpcne8rFYLCXmp0+fJhKJ4HQ6KS4uzrnstSbei0S2Eqfz7QQmCALbt28vmHCrLESJVHWfsixz+vRpzpw5MyXIay77LLR4Z9tfMBjk8OHDGAwG9u/fn1MO5lzd5q7dW3E/fohwZy/mhhoEQUgWXTHq0Tns6OyZQXw6h43YuIeEN4CuyDFthzlBELA01WFpyq8a11Jb3lI4khzH5G5Teh1yJLIgxyz0OQs6HSUXn0vRebtJ+ALo7VZEs4kSWeGsHTEOH/Wj19sQ9BHGxgLUVAqY9f08/XRnXilp82U5uM2XUrzTPaELjdFoTGUwAKnKbxMTE8iyzGuvvZbR9jRb8FswGExNBlYaK0a8C+EmV/eT3gmso6NjQW60hSiRqtPpiEajvPzyy8Tjcfbt2zfvWeNiuM3VQLra2lo2bNiQ8/Weq9vc0lhLzQfexdCvHyLc3gOArsgBF5+DZcRPYsKLLi3ILD7hRe+0MRoLcerppzEajamXfUlJSUHWEJfS8rbv2IRguJ+EP4D+9faeiiwjBcO49u9asnHNBdFowFj2xkRbFAXedrCU6goTJ08HcU8kqCxRePe1GykpMuSdkjZfloPbfKmPPx+jaj6obWyrqqoYHh5mx44dqepv3d3dKTe86vGrrq4mGAzS2NhYkOP/8z//M1/60pcyPtuwYQOtra1Astzz3//933PPPfcQjUa5/PLLueOOO3KuHzKZFSHe+eRuz0QkEuHIkSNEIpFUk4uenp5UelkhWQi3eSQSYXh4mKqqqqwNUebCQrrN0z0E27ZtyyuQDuaXKlZ0zg7sW9YR6ugBWUGqLGH4+FGKgzB870MosoK+yIHkCxCf8BE7awNDYyPs2LEDRVGYmJhIraupeaglJSVzykNdasu75JJzce7Zhu+FZiSvH0GvRwqGMVaUUPXBdxX8eIstYAa9yK5tTnZtczI6OkpX1wSlxclAptlS0kwmU0YJ1/lO1Jba8l3q4y+XuuZAyoVeX18/5bv/4Ac/SCQSSTWoGhoayvv9lI0tW7bw6KOPpn5Of0d/6lOf4sEHH+TXv/41LpeLj33sY7z73e/mueeem9OxlrV4q7nbXV1d+P1+tmzZMueXQnonsLPOOit1UZdbHfJsqLnQQ0NDuFwutm8vXKemhbK8o9EoLS0tRKPROXsI5hsJr7dbce5IBpMFAgEURaH8qosQdCLuJ18iPu4Biwnv9jXo925m39l7Ux4T1ZWW3nzj6NGjyLJMcXExpaWlC2K5LQSi0cj6b36B/h/8ionHDyUt7gNnUf3Bd+PcvWWph1dQZpo4zJaSduzYsdQLX63+lY8QyZEo0olO/Kf7MdRUY9++YUr1t4VmqcV7qY8P2V33k7/7Q4cO8eijj/L5z3+eZ599ltraWjZt2sQll1zCO9/5Ti666KI5HVuv12edBHi9Xn70ox/x85//nIsvvhiAu+66i02bNvHCCy9w7rnn5n+sOY1wEUhPAVMUhWg0Oudk/Zk6gS1kB7BCTApUEYxEIjQ2NhIOhwswujdYCMs7FArx/PPPU1xcnDFRyhfV8i6EJafuSzQYqLjmEkov3sdoTy/HuzqpbKxn06ZNiKKYCmJUmdx8IxAIMD4+PqWYiGq5TXeui+02j426kVu7CMcEpD070DvtNP79X9H493+14MdeyiWCfO6VmbqkHT9+HEmSMrplzVSJK+72MPDDX5N49iV8NhsRgwFTdQXVN70L2+a1BTu/2Vhq8VwOeea5BDI7HA7e9a538d3vfpePfexjXHXVVTzxxBM89thjPP3003MW79OnT1NTU4PZbGbfvn189atfpaGhgVdffZV4PM6ll16a2nbjxo00NDRw6NChN4d4p+duqw+iwWCYkxCmdwKbzvrT6XTL1m0+Pj7OkSNHUiI4MDBAMBgs0AiTFNpDEAqF8Pl8bNiwgcbGxnmJbnrVu0J2FVMUhb6xUU71n2HDti3U19fn5KJPb8LQ1NSUYbl1dHQQDoezBkctZi9xRZYZ/+NTuB95Dqmzm1HHS0RWP0flX1yFfduGwhxDUYiPTSBHohjLS7L2v57u+0r4AgSOnUIOhjBWlmHdtBbRULjX0Hzulem6pKndsvR6/bRd0sYefJLAkTaU6lLMVVWYTSYi7WcYvucBGj///2XEWCwkqnjHEzI9vRHcnjhWi45VDRZs1oUX1eXiNs91AqFGm5eUlPCe97yH97znPXM+7jnnnMOPf/xjNmzYwODgIF/60pc4//zzOXbsGENDQxiNRoqKijL+prKykqGhoTkdb1mJ9+SgNPXFNxchzLUT2EJZ3vMRRUVR6OzspLOzkw0bNqTEZSG6lRVqn4lEguPHj+P3+6murqapqakgY4PZLbmEL0CkfxjRbMLSWJM1dUt9oScSCU6cOMH4+Pi80wP1ej0lThemvlFKxiMkRIFoiRGf38+ZM2dSzTkSicQUi36h8L96nNHfP4Jos0J9FcaiImKDYwz+5Pc0fvajGcFecyE+7mHkN38mcLQNORbHWF5CyWXnUXT+nozJVjaCrZ0M/eR3RPqHARD1OuzbN1L9ofegdxYmXadQ6+3ZCoZ4vd6sXdJcJgu+145jqCiBaCj53hJFTE21RLr6CJ/uxr59YwHObnZkWSYcUXj02RE6e0JIrz/aFaVGrrykjLqahZ1ELLXlD7mLtzpBm1zZca5cccUVqf9v376dc845h8bGRn71q18tyPLashLveDxOIpGY4vLIR7zVTmBDQ0M5dQJbyCYic9lvLBbjyJEjBINBzj77bFyuNypELVfxDgQCNDc3YzQaqa6uLljLv0hUZsIrMj4Ro7zUPOWlrMgyYw8/y/ifnyHm9iAaDNjWN1H9vmsx12WuO6l/++KLL6LT6di3b19O6WozIQVCDNz1GwKHTyBLCVDAUFZM443XsOW88/D7/YyPjzM6OsqxY8fm3RIzF7wvNqPIMqbqcoS+PgSDHvOaekKtnQSOtFFycf7uORU5nmDgx78hcPgkxupy9EVO4mNuhn72e0STEdc5O1LbTv6upHCE4Z/fT3RoFOv6JgSdDikUwffyUYzV5VRef+Wcx5XOQgXLpZfpnNwl7XRrK/G+fox2K7LZSDwex2w2I+h1KLKMHC+8Z286FEXh1aNh2jpi1FaaMJlEJEmhbyjKw0+N85fXVWM0LJy4LnZe/XzHEAqFFizPu6ioiPXr19Pe3s7b3va2VF56uvWtBiDPhWUl3qp1Ofnh0+v1Obm2VRHR6/UcOHAgp9nOQrnN55LnPTExQUtLS6pk6OTI14WYaMynhSfA0NAQR48epaGhgXXr1tHW1jbvyYAkKbx0eIKXXpvgdIeZMyO9rF/r4JLzynE63rhlvS80M3TPA4gWM5amOuRoDF/zSaRQhFWf/WjKVanIMqPtXeAP4qqrY/PmzQWxDtxPvIDvpRbMq+rQWS3J3t/dfQz/6kEsaxtwFScDZIaHh1mzZg2QXAppbW0lHo+n1lNLSkoK1tko7vZOqbUuiCIIIAdD89p3qK2T4Il2zGvqU9dWZ6sldLoHz9Mv4zx7+7RLBKFT3UR6B5M9uF9/seqsZvSlRfhePkrZNRcXzLW8GJHu6V3S5PXr6WruxPPqUWJGfTI1ze3GGEzWYady5mJEhSQSlenojlLkNGAyJe9xnU6gpsLI4EiUvoEIqxsXrgXmcrC881l3V7uKLQSBQICOjg4+8IEPsHv3bgwGA4899ljKNd/W1saZM2fYt2/fnPa/7MR7Ln23FUWhv7+fkydP5t0JbCED1nLdr6IodHd3c/r0adavXz/tWvFysrzVQMC+vr6MtqOFKE7TctzHI0+PYTYKOKwyRpPI4SM+IhGZ66+tQadLCoT7qZcAUla2aDRgXdtIqKOHwPHTuPZsI9Dayamf/Ibx462ICtgu8RMrKptimeeLIsv4XmxB57SjsyYniYIgYG6oJXyqi+DJDor2n5X6XF0vVVtihkKhVHBUZ2cnBoOhILnlltX1hE93ZwioHI0hiCLGyrk12lGJj3tAkqaIrL7IQXRoFCUWRzAlvS5TvCTRGIosI0xa3xaNBpRYHCWegAJ4Fpciz1oURaquuQR5eIzgydOU1NcihSPEYxKxPWt49XQbpjPdBU1Jm454XEaSwGLOvAY6vYAsK8TjCxt7sRzEO1fLW5blglZY+/SnP80111xDY2MjAwMD3Hbbbeh0Om688UZcLhf/5//8H/7u7/4ulXL68Y9/nH379s0pWA2WoXhnYybreL6dwNTCJ4UmVxGLx+McPXoUn8/H2WefPSWgYfI+l4N4RyIRWlpaUoVi0meu2SK280GSFF476sGgF6goN+P3gtOmw2LS09kTom8wQmOdBWSZ6Mg4OkfmgyeajCiyQsLjI9DdR/NXvk10aJTyDWsZGRzEe+gwiVE3TX//4WRp1DTyeunLMnI0NjXYSnw9Qj6WeQ3SxVQQBGw2GzabLZWDOrlms8PhoKSkhNLS0rxyy4vO202g+QSh1k4UJU5cFpB9IezbN2Dbtj7388uCvsgJopg8b9MbSyOSL4BldT2C0TDlXFVM9dXonXbiYxMYy0tS28VH3dh3bkTnKIz1s1RFUmyb1lD3Nx+g/0d3Y1D0uKorcJ2zE8eerUhp328hUtJmwmiQqSgz0j+UwG7Tpa6Fx5vAbtNTUb4wXeRUVpLbXA3+LdSad19fHzfeeCPj4+OUl5dz3nnn8cILL1BeXg7AN7/5TURR5D3veU9GkZa5sqzEezr0en3WbjVer5eWlhYsFsucO4EtZLR5LBabcRu1s5bD4WD//v2zrhUvVMnVfMRbLStbWlqatVDMfN3wkaiE15fAbtWjvoIVwGLWEY/H8PnjgAVEEXNtJf4jrZiqkhO2hAJ9Hh1DSi0joyaiz/wB+7CbugNnJ++bgA9LQwOhUz34XjtG6SX7pxw/1xe/oNdj27SGiSdeSHYZe/2+TLi96OxWzI1vpCTOtk9RFFNWGUyfW65uM1OPdktTHbUfuYHxPz+D+9ArCKJIyRUXUHbFBfN2S9s2rsa6rongyQ5M9VWIJhPxMTfIckbAWrZzNlWXU3zwbMYefBLJF0C0Wkh4vBiKXZRedn7BBHcpK5xZVtejXHoO9eeck/Ed6UWxYClpM5GcNCmcvcvJn5/00tMXwWHXE4lIyArsP7uIYtfCdhxbLpZ3LmMIhZLLSIVym99zzz0z/t5sNvPd736X7373uwU53ooQ7/QWm2rhjp6eHk6fPj3vTmBL4TZPH/9snbVy3edcyXVCoLr229vbMyLgs+3vjQprCn2DEQaHI+j1IqvqLZQUzzxBMZt0OBx6xt2x5Pq2kDx2OCJhMAg47MlbVhAESi46l2BrJ6HOXigv56mxcrq8RmR7LZFXQrjcVeyv3EL965M/SNbIRhSIDo3me6mmUHLpfkKnugid7EDntCNHYyDJlFx2AHNTZj2BfFLFsuWWu91uRkZGOH369Ky55dYNq7Csb6JvSz3VG9ZTVlc7zZHyQzQZqb75PQz/8gFCbV3IsXhSfK+8ENfrSwQznWv5Oy/FWFmG5/nXSLi92A/sofjg2Vg3rCrI+NRjL5V4qzUJZhOOXFPS1AlbrkaJ+m5Y02TlXVeaaD7mp38oQmmJme2bHGzZuPANOJZLnneulrfBYJhX++elZFmJ90xuc0i6yBVF4ejRo/j9/oJ0AlvICmvZ9huPxzl27Bgejyfv8S+U23w2N3cikeDo0aN4vV727t07o2tftbzjcZmHnxyl5YQv2ZpRAZfTwCXnl7Fjy/T9o3U6gd3bi3jw0WFGx6NIsoA/kMDjVdi03k59zRsLo86ztlB787sZfehpXunT0xF3UFymkKgwsbqulJFjCV4arKEhESQQ13E81kDnaBmuRIizzfPvYW1uqKHuYx/A++wrBFs70TtsOM/ZgevcnTNaoTMhyQpebwK9XsBh12Xkljc2NmbNLVfLt5aWlmbklgs2C6K1sCkqpupy6j9xE9G+IaRQBFNNRdY0r6yNXfR6is7fQ9H5exZMZJdavCG/73umlLS+vj5OnjyZc5ZCejvOxjojjXWWRb8eK8ltrvbyXuryxXNlWYn3dKi53m63m1OnTlFUVJSTmzkXFjJVbLLQ+nw+mpubU27+fMe/FGvefr+f5uZmzGZzzq59RVE41urnlSNeSosNOGxJy3d4NMajT49SU2WmvHT6/ezc4iQSkXj1iBdfQMRml9ixtYhLLyhDp8sUxeLz9uDcs40//+AU+v4JZNlHSQJ0Q26qKs20j1h55nSEYXMl43En1mGQjZuYGK7kurEoFWXzm3Wb66ow33D1vPah0t4V4tAzA0Saj2Ib7qWkwsqWq3ZSe3Bnam19clUwtfGGmn+s5paXlJTkdK9IwTAJfxBDkSNrsZVsCKKIuWH6Tna5eBkW6oW51NXdYH4dtWZKSWtrayMajU7bJS3b8RdbmGRZXrBgvFyRJCmnMSxkpPlisCLEW70pjx8/zoYNG2hoaCjYTbkYed6KotDb20tbWxurV69m9erVcxq/TqfLuvY/H2YS74GBAY4fP05jYyPr1q3Laczq/lpP+dHrBBy2N9zcleVGunrDdPYEZxRvnU7gwNkl7Nzq5MGHuti7u5ymxtJpjx+Mxegfm4DBESwRL1FFIQoIRiPYqmiPGrD4ApSHR3FWVmDbUstgQMehlyd4xxXZ88ELzWyicqY/zB/v76b4yQeoHj+DpNfj705w9NgxlDNnqL/pHakUq3QsFgu1tbXU1tammi+Mj48zMDBAJBKhtbWV8vLyKVabHIky9tBTeJ8/jBQKY3A5Kbro7Nf7Zs/fclpK67dQx46Pewi2dqAkJCyr6zHVVc24b/U5KuS5p6ekKYqSanvpdrundElT19mXuqvYcrC8c6nhoIq3ZnkXgGwXUe0EJssymzdvpr6+vqDHXGi3uVp5bHx8nLPOOmtevWNVwV5o8ZZlmdbWVgYGBtixY0eqX24uqG7zSETGoBem/E5AyDldxWbVU14iUFykn/YBU9uNNiohWkMK+mIHotEAioLXGyMejGBurKOxCgYGHDg3r8dksVDijdPREyIclrBY3njZTBZZSVaIRGTMJjHD6s+HXF4OR08E0Lceo8xzhkRtLaLegEFW8Iz5GPjzC5Scsw37lnVZ/1aOxvC9dAT/4RPI0Riubetp2LeLl44fpaqqilgslsotd7lclJaWIj/6IsEnXkRf4koWW/H4GP75A6BA6WXnkUgoDI1EkWSFyjIjZvPivJATXj+hti4UScK8qj4VjJgLkd5Bgo8eIub24O6fwLF7y5wbg3ief42Re/9EYtyDoijoHDZKLjqX8ne9bdrJzWyWd2xsgvjYBHqXA2NVWd6iIQhCqkta+mRN7ZTl9XqBZP7wQqekTcdyKI+a6wRCs7wXkPROYDabbUECCxbS8o7H4xw6dAiTyTTnaPh00sW7UEwW70gkQnNzM5IksX///hkjm6fbn6IoNNVbOdMfplxWEMXkSyockdDpBSrL87kO2aPX1U5r3d3dbNu2Dftjv2PE6GJAKsYak4jLIpLJTK1/EL9UhqmyDiGUbIeZC7KscPRkgMPHfHh9CRx2PTu22FkrDxA8fIKE14dlTSOuc3ZgrJh9Qjab5T00GqV4rBtMJtAnX7g6UUAy24iFfIQ7zmQVbyWRYPCnv8f77Kug0yHoRQJHWvEfPgG716WimNNzy8fau/A99ASC0YBFL2ARFCw1FcQHRvA8+SL+Ndt46pUgQ6NRZFmh2GVg/94itm2y5yQ42azf2Mg4kj+IoawYvSt7ao7vpSMM//oh4iPjoCjoipwUX7oP24Y1xAaS5W+tm9ZgKJoar+B75RhDP/sDoTN9yILA4LEuJp58kbJrL8FYUYqppiIjvW0mIn1DDP/yQZRYHMuGVSAIxMcnGH/oKUz11RmV5CafN0ydrMmRKCO/fxTfocMkAkF0FjP2XZupfO8V8yoLO7lTltfr5fDhw4iiuOApadOxXKLNc13zXqjqaovBshTvbJ3AXnjhhWVVxnQ2JiYmCIVCrFmzhrVr1xbENbPQ4j0+Pk5LSwvl5eVs3rw5Z/dXLCZhNOoy9rdzq5PTnQG6esM47ToSCYVwVGb7JierGmYPohoZi/Jys4ennzPQ3DbCnp0Ke3YUYbEkJ0VqCdlzzz0Xh8OBjyCXWN10OwQGIhZMOom1tiCu4CmeNW9kdCwGAqAoSLKC2xNn9zZXhtWdzqtHfDz6jBudCHarjvGJGPf9opXNQ6+wjTMIBgO9r3TR89gg4a17cVW52Lzexoa1NnTiVI/DbBS5DARlEeS04iqv/1evE7PWawcInmjHd6gZY20l+tdzpeV4guCJdhSLCHt2pcag5pYX+yL02OyI9VWEo1G8Xi9jo6MYZIVET4RX7z9DCCvV5SZEHYy74zz81DgOu46megvRviEiZwYQjUasG1bNKEAJX4CRe/+U9ApEougdNqybVlN0wdlYGmtT6+zR/mGGfn4/UjiCZX0TiCKxgRH6bv9fDKVFyQp2gKmqnMr3XYNjxxu1wqVgmNHf/hkpGEK3ph4dYJAF3I8+h+fQYaxrGzDVVFJ2zcU4d2+d9bsIHjtFwu3FuvmN59ZYVkLI7cX/6rFpxXs6t/nYH59i/I9PYigvwdxUh+QP4nnyRZBkaj5yfaoqXbR/GMkfxFhRiqG0aNZxTkaNDVq/PpnPPzklLZFIpNbTC1nVL53lErCWa6pYvsbJcmJZibcgCNN2Asu1RGq+FFq8JUnixIkTDA8PYzAYWLcuu6tzLqjlYws5XnV/nZ2ddHR0sHHjxpyWJiRJ4od39/HMC+P4gxJFLgMXHyjlbecn1+XLSoxcd00Nrx310tEVxGgU2brRwc6tTvT6mR+sMXeMex8YZHgkiiSBP5Dg0afHGBiK8LaDdo4dbcFms7Fv376UW9CxcxPh3z3MuXVOhNLkyyPu9pKwi1x4oIynO2DULYIuCiSorTKzb2/2SP9IROLVFh8mg0BFWdJas4kxgkODnBZq2L7GRCCh55nRCsZH4jhPDjIS0nO6K8R+d4yD504thzmb5b11o50n6tYSfa0LMRJBMpgIhCQcUgBHpQ3r+uzpVOHOPuR4PCXcAKJBj2i1oHT2Zf0b/etV4fQJGcvrueWSJOE/088JfSlnhoKUlgXweMxYLBZKiy30DyU4fsKH9dATTDz9MpI/iCAKGKsqqLzx6gwxTe/eNvTz+/E++yrG6nIEvYjvteOMP/ocI79/FOdZWyi7+mJc5+zAf6SV6MBw0tJ9vUSyHIkSGx5DtJpx7N6KIkmEu/oYvvs+zI01KQs83HmG6OAI5tUNhP0+5HCEQGt3sqZ4NIa+2EW0b4jB//0depcD69rGGb8LORyFLNUeRZORhC8w7d9lSxNL+IN4n38NfbErVZxGLHGBIOBvOUlsYATRamb4ngeT3dbCUfROG0Xn7abs2kuTS0CTSCQUjrUFOHkqQCQq01hvYcdmOzoh0+qdLiVNreo315S0mdAs78VjWYm36maurq6e0glsId3bhQoCU2urGwwGduzYwZEjRwo0yjcodMS5WiKwt7d3SiOUmfjatzt47iUPAHodjIzF+NV9A4yMOdi3I9mD3WIW2b+nmMsO5re+13zMx9BIlFX1Fvr6BEpLDeh0JlqOjxMNtrLv7IYp3oySC88lcPwUwZMd6OwWlHgyrbD0bQfYctk6aoei/PYPfVRUWVnV4GLTejsuh4H4hA/3Uy/ie+04CGDbuZnwhm34AglKi954ccYnfNiifryuKjwxH61BJ96EkVprAME/TEnFajxBmddafGxZb6es5A0XbS7nvn61Fe8N++ic6MXQcQpBkSk1ClTWO6m88kIs67ILjqDXQZaJgSJJoMsetGOqq8K+dT3e5w+DIKCzW5G9fgyhGI6zdlJKOTWVOsLhMMFQiHG3m0DQwODjrzLQfwhrZTnWuiqQZMLdfQz97A+Y66qQY3FG738M94lTxO0WvIEEgSOtyYIuRgPe508iR6LobDbkYITowAhDP/09kj/I6G8fJtjWSWx4DENJEZb1TUT6BhEMhtT1E3Q6LKvqCbd1Ejx+mqIDu18/WQUUEF6vCSCPeVB8gWRFOElGZzahX9NAqLUD7wvNs4q3qbYSQSciR6Ipz4Aiy0iBENYNqwi2duJ5+mXCnb0Yyopw7T8L1zk7kGV5yned8PqRgiEMk7q56Z024iNjxCe8TPz2YXwvtmCqq0SsKicx4WX0/icQLRbKrrow4+9kWeHRZ8Z4tcWPTgcGg0jvQIT2zhAXHzBO+w4rZEraTCyXgLVc17w18S4QBoOBffv2ZXVlLKR4w/wDLdTIbLVBRygUWrBAuEKJt9/v59SpUyiKwr59+3JOXevpC/FysxdRVHDY3xA4rz/OoVcC1FfK/PaPQ3SfSVYwaqyzct45xVRVTBWTaCTOKw8ew9M/QWlTObvfvomevhA2qy65Vv76CzkQ8DDh8VNctop161ZP2Y+pspTGj9/ExPOvETzRjs5mwbl7K65zdiCIIvU1FrZtkNm9uzg1QUn4Apy542cEjrahe931Gzj5ANKWbvTO84nG5FRzB4CYoEePjCjIDEYsOPTxZFk3ko0/ipx6evoiDA5HM8QbZre8BUHg7HMr2bThw/Q9ewy5r5eSMhvOLWuwbpw+O8G6cTU6u43YyHhq7V0KhCCRgKZqQq+dQJEU9EVO7FvXo7NZkpH/N16NJMmMvtxKItiPqchO5SXnUrd9B81PedDrDBS5jBS5XEiyTHunn/KO0wRCIbwhP6ahGBaLBXNtBbGufkZ++zAjv/4jkf5hpEQCRVY4/ciL6EtdFJ2/l0h3PwlfAENZMXIsjhyNYqqpIHSqm95v/xSkxOsFdESiAyPE/UGUaAwUGX1a0JmgE1EEATnyRvVCc1MdxopSov3DYDejRGMICsjBMKbaCtDpiJ4ZINo3zPifnsa+dT32beunDTyzb9+AfdsG/K+dQF/sRNCJxMc9mBtr0Be56LvjbhJeP/oiB7FWN8GTHcTHJjBfdPaUd4ih2IXeYSfh9aOzvfFeS3j86Ow2pFCE4PFTmBqr0b9e6tdYUYoSi+N59hWKLz43ozLewFCUIycClBTrU5kcsqzQ3RvhyMkEtWW5vcPmk5I2E8shYC0f8dYC1gqIzWbL+qJbSLc55J4bOBlJkmhtbWVoaCgjMlvN8y50kYRCuc37+/s5ceIElZWVTExM5JVzfviol2hMxmHLfEAsJpFQWOLJF0QqK3yUFBsQgKOtPkbGo9z4rtqM8oxdRwd56LN3IZ7pRkzE6TUYOfzDNQjXvJNU3RgF3ONuZEWhpLiEivLpi9oYy0uofMel8I5Ls/5+cscr78tHCBw/jXXD6pR70lARIXTyOHX7ttLqLsZgELCYdUgOFz5TEU3RIYr1MURBIR4HORR+o8WlrIAA+mmi0mMxma7eMMGQhNOhp7HOjEEvJq3k113FjmILm67ZC+yd9jwVRSEYktDrBCxrGii96iDjDz5F8PhpEAREgx7b1vWMH29n7MUTGA0GEMC8qp6a//NezHVV+AUrz9dewpB7HQSDiMUuGivqOH+Vg9q2CGf6I5SVGNCJAuOeOKWlVlaVGjG7atFVlhIOhwmHw/i8XhgdYeJ/foXg9mJurCWhyMSjcRLD48Q9Xmxb1iFHouqXkKqNLhiNSKEIsZFxyq48CK8cIzY8hmAxkRibQFFkRJ0OU1oTmYQvgGgyYqp9o9Wv3mmn7B2XMPyLB0i0n0EJhEj4gxhrKjA31uF/9RjRwVHkYAhFlun7zk8puew8Kq57e9ZYAtFsoubD1+N+/BD+l44gxxOUvO08ii48m5Ff/hHJH8yYUMWGxph47BClW6fGtuhsFoou2MvIvQ8RRUBf7ETyB4mPTlDytv2IBn2y2E1jpojonHYkXwApEMoQ78GRKLGYkhJuAFEUcDp0dPfGqCufm3Cmp6RBcj14upS0kpKSaTs2riS3eSgUStUdX4ksO/GejoWyvOezjhwMBmlubkYURfbv359xQ6fyaQvsRppviVRZllP9znfu3Ilen2xhmA8Oux5RgISkkH5q6iUMR6Gp3pKKMnfY9XT3hjnR5ufA2W+ssf7piz9D39FGvKwK2WJFCQUxth1n2FqBtHc/3b1+hkcSGI0GHM4SSooNrG7Mb6YshSN4nnsVz4tHkE+fZvzMONYrLsJYUUrwVDeCQZ+xriiajCAKnKXvg3V1dJ0JE4/H0etFNu6oZPvpI8RbR6klTotSj72sDMvqhuT67kiMEpeRhrrMF5sgCIxPJPjz00P0D0aQFQWdKFJri3B29Di6rg50Vguu/bsoPnj2jMVSevrCvPCql8HhKDodbFhr59yD59OwYXWyGUlCwtRUi+epl6F/BOP2TVhdTuR4gvDpbkZ+9UdqP3ETjzw1xunuMDVr6zAZBYL+OM2H3ZiJcc1lVTx1aIIz/WFkGWqrzezfW4TNtA73o89hrKlIVX2TQhE8/eOEPUNIdiuBUCgpYIKAoaKERP8wwaOnMJQUoUgSkj+AEotjXteIoNeR8HjRO6yIJiOOszYT7jhDdHAUSRSxrW1CX+Ii2juIXFKEHI0hBUIUXbAH66RlhKIDuzGWlxJ84GEYmUBfVIQgQHRkjGjfEIJBj6GsBOfe7aAoTDx+CMeuzVjXNWW9znqnnYp3vo3yay4GRUHQ64m7PUR6B5O17NNE2lBRQqiti2jvIIJ+6sSt5PLzURQZz9MvExsaQ2c1U3rlQcrfcSnxMTc6uxXJ60+6+V8n4fFhKCmaEgyYnBgqyIqCmDaGRELBZASdrjDCmZ6SpigKPp8vlZJ26tQpTCZT1i5pS+02V5dAc13zXr16qhdvpbDsxHu6fsAL1f1L3Xe+4j00NMSxY8eora1lw4YNU2ab6s+Fjr6cj9s8HA7T3NyMoiipyYbX6817f+efU8Jdv+hjzB1DrxPQ6UTiCZlITMZu1WG3JFLCnRyzgMEgMDT6xvd34rkuhO5O4sXlCJbXi0tYbcTjxRS1vUbf+s2c6k0gSXr0eh12X5gNB+2UleTuHZHjcfrv+g0Tz76S7HE94cN93+PIHb00fuyD6MwmlESW712WcTj0vOfqSvoHI/j8Eg67jrrqJmJ9lQSPtHFgIkzCXUm/5CQwDhDF5dBx8fkl2KyZ37eswHOvhBge01FXZcJgEAmMeDj2XA+R6DgXlieIjYwzdPd9RHoHqfmr67JahP2DEf7wpxH8QYlip56EpPDcs0N0P3WUi/SnsJa5cJ69HX1ZEcGT7SilrlSnL9Ggx1RfReh0D30tvfT0KVSVGzGZRCI9A8Q6ziAGZF5u17G2V+La915KUFdCIqFQUmRApxMIs4fAkVZCJzswlJegxOIkJrw4168mcWYQvcOBaLMQDodIJCSi8TiKKBKuKkFKyCgCJLwBLBtWYawsI9x+Bp3djhwK4Xn2VQCMlaU49+8i0tlLxXVvx7FjE+7HDxFq68LocuB656UUXbA35fJWFIVITz/h093J8yxygD+cbFN6ZpDo4AjC6xMJ6/rVGEqSSyax4TFCp7uniLeiKMjBMIgiOqs5w7UuGo0Iel2yhWmaR02Jv+7yNxoQmfruEg16yq+5hOILzyUx4UXntKeC7cT6ahw7N+N55mXkeAKdzULC7UUORym+8Jwp6W2N9RacDj0jYzEqy4wIgkA4IhGOKGzZYFgQq1cQhIyUNLVE78TERColTe2CtxDe0XxQ68vnanlrbvNFQK/XL4jlDfmJtyzLtLW10d/fz9atW6mqyt4XOt3yLiRzFe+xsTFaWlqorKxk06ZNqfHNZX9Go45bb27k9h924fcnUJAQBYFil4EL9ztoPjo0ZbkgnlBwOd643XyjfoR4HIoy18EVkxmPLDAy7Gfbpspk/WGrEavNTu9AmJ6+ME31uaV3BI6fxvtiM+bGWvR2K0hRDFY7/uPtuJ99BcfOTbiffonYmBtDadIdHxsZRzCZ8daso7vZhyBAXY2Z6orki9LSWIulsZYyoC4m09ETZswdw2wSWdNopaR46uTC64Oh4QRVlRYMhtfT/foGcES8DBc3Ei3T49AnSPgC+F46QvEFZ2Nd3zRlPy0n/Hh9Ek31JgRBIO72EutppSMg0mgLUHeqg/E/P4NoNhFq7QCdQEzQY16/OrmWLOtIhGLgjxCPGzGbRKJ9QwSOtCGIAmabHV9Ux6GnOnm841lKz9vN2jV2XA49Op2ApamOur9+H+OPPEfoVBc6m4Xii8/Fue8sAkdbiQ6MYLKZEUUdej3o/CHEqnLKPnkTHo+H4NE2hBOdKN4QUv8gtroaRKMez/OHSXj8iDZrMrq8tRP79o04ztqCpbGW2tX1GUsLqXtFURh74HHG//QMkj9Iwh8k0NGNzuXEsnc75tX1r3+fBhx7tqFPW3NOBrhlWsnhrj7G//Q0oVNdCKKIfecmSq84iPH1YDPRZkFf7GL8gScQzEaMJUWY6qpI+ANYmuowNNYgnOmZ9n7UO2wZWQGQHEPV+65BtJrxv3KM2PA4hmInZddcTPFF50zZR0mRgYsOlPD4s266eyMIQtLa3rrRxobVcfy+uYt3fNxD8GQ7ciyBpbEG8+rszYcml+hNT0kDeOWVVxY8JW061Pe4FrC2jFgot3k++1bT2FTLdaYcwYVI64L8r4OiKHR0dNDV1cWmTZuoq6ubMs65TAb2n13CmlVW7nt4mNHxGLWVZq59eyVj435Otg0yOBxNFWMZGYtit+rZsPaNB6VxWy0tVhuC3wslZamxKp4Jxsq2UlFTwepGF/0DQex2Ay6nic4zITq6QzmLd7i7HzmeQDQbCRw/jXLiFH6dHjEhMfyrP7Llf75G+ZUXMvbws8SGx5N/ZLVyeuvbOHXUSCQ2BgpYLTrO3uXiwNlFGR4Fo1Fk0zobMPPsPZ5ILjEYXxduRVGIj09gsugJKiJxOfm53mkn2j9MpG8oJd7BkERre5C+gQgvHfZiNLxu7QGh0z2IoSCis5pIcS36QIDA0TYUSUZvNYPHQ/hEO+EwjFmriPUOkLDaifYZEQTw+uII3f2gKOhdTsajJjyikWPW9egGwgwfGaW1M0zXmRBXva0cg17EsqaB2tX1yJEogl6fqrle9cF30fvNu4h29SMZdMmocquF6huvoW7nNgDkCw7gmZhgtLUdj9vNRHcfxmMnMW5ZgzA4BpEoiMkUMfuOjVjS26pmeRmHTnYw9sCT6GwWTHVV+F4+iiLJKJEoSDKCQLKDXO8Q7oefxbq2Cev6JqRAEJ3dgiUt6jzaP0z/935BdGAYQ0UpiiTj/vOzRPuGqP/4B9HZrbgffY5wew+CQYfkCxAanyDU3oNz7zaq3nctIePcLF+d3Ur1X76DsqsvShayKSlCZ5u+FsK2TQ6qK010nQkTiytUlhtpqrMwONg3Z8vb+0JzskDO6ASgJJdxDpxF5Q1XT+1ZPwk1Ja2iooLh4WF27tyZcrMvVEradKjvxlyugybeBWamzmIL5ZLJRRBHRkY4ejRZbnLjxo05zeyWopFIOrFYjKNHjxIIBDjnnHNwOqdWpprPGCvLzXzk/ZlrjyaDhW3rY4QTenoHIkDSWji4vzSjI1jd+grsB/YSefhx5NE4CZMFIeBHr8hYN67D6kw+4EIy/yc5VkEgFp9+rMFQgpYTftrak7m41R4TxYoOpbWTUFsXoKCzW5DdfkLtPYz84VGqb7ga51lbCL3udu0z13DilQROi46qiqTL0uNLcOhVD3U1JlY15F/UocgpYLOKeHzxZBS6ICAaDHjDUGyOYtclI6cV1WqwJM/dH0jwhz+N0NUbQa+D8Yk44bCETidQXy4Sn/AgWC2AgFFIEO48k3SzyjKmhmpCkQixmMzgKTeiJYTJbiKwfS9nRpMFcyKRBIJPwWS0MRE14UsYSCQUrEIYfXgCmxLGWlrMiVNBNqy1vz5Reb3MrSgSOHyCcOcZ0Otx7trM6n/9JIM/+T2+Y6cRnDZKLt5PydUXpq6DKIqUlJZSciAZFd/3k98yYrYgVZcRtptR/EGMRiOGSJxYJDJrsGfgSCtyOIJlVR2KJCN5fAgOG8QlQm2dSP4gotGYzM/2+gkcPkGkpw/rxjWUvf0CzKvr8b10BO9LLXgPHSY6MILznB0pl7a+2EWotRP/kVbsW9fjfvg5dA4bpVdcSHzUjRQMERufwFhZhrmxhoDXM2cLMz7uIeEPzCrcKmUlxikZDdlS1XIhOjTG8C8fRApHsG5MVpRLePxMPH4Ic2MtxRdMHzyZjvoOdTgcFBUVzZqSplrnhVxWVKPdc7kOWrT5IrFUbvP0am9bt26lurq6IPudK7mKrdfrpbm5Gbvdzv79+6eNpC90vXRRFKmtTHD+BfX0D0VBUaitNmOzTr3V/uKr1/MHl53hR56HgB+5uIyqK85jx+V7+dMTYyQScrIoGslIbQWorcqeuxyOSPz+oSHaOoJYzMnz6HC7KFfWsKv1IYw2C4KsJ54AvdGAuakOz/OvUX75BVjXNGBd0wDAoYcHkSQPLucb4y12GfD4wnR0h+ck3maTwNYNRo60KfQPRrCYBEYkGwl3Pw29Rwn2+ElUlSFHY5iqK7BtXgsk3eSdZ8I01JjQ60VMJpGjrQG6zoQpslnwymZ6Y05EvZ5unwkpYqPKHEUJRzBWlSOIChNjOsKjURwN9UT27kNsXEuDAp1nwqxusDDcKxL0xSmxxogFI0SjOoLxCLqozPCgRLk9hhQMc+L+l3EVj2Guq8K6eS2jv3sU/6tJSxfA/fCz2Lasw1RVjiESQTHoifWP0Hf7j6n5q+uwb9sw5boYLBZMJhO28nIoLycWixEOhwm0dnBmcIChQ4dwyQKmzgH0Y15M5SU4d2/FumlN0mMUjaViAwRRQDDoQUqurcdGxhHNZgzFTpAlzI21yRS1UISKd15K6ZUXMvbAE4zd9xjICtHeIeITHvwvH8W5Zyv6Yhei0YCiKMQGR4mWFBF3ezA31iLoRIyv11w3VpYRH5sgNupGMUwt7DIbUiDEyO8exv/KMaRwBL3TTtHBvZS+/eCsFu9k5voMB4+fJj7uSV1XAEOxk4Tbg++llpzFO70lqcpMKWmnTp2ac0radOQaY6QWrXE4spfqXQmsGPFeCre5Wuc7kUhkVHub737nQy7irc5wc+lgVmjxVo9lMYusXz3zrNZg1rPlL9bhONtKY/Uq1mxqxGQ1EggmaOsM0dkTIhIGQyiBXh9h4zo769dk32fr6QCnO4PU15hT7uloiZGhviqCMRGfDL1yCXGdGZvDxJqiEkr8HuJuTyqICSAakxFkCSkYQjSbUu7a2az+2a7J9k0mGupdtBz3M/BqB+W+XpqkNiomThHs9BFoPoGxrBhzdTkjv3uEaN8gL480ondVIFZXASLlJUbWNlo41RnieEcEP9UIiTDVpii9cSdnnHvZOfIS6+0+jKXFEI/S49zMQIWFdeete2PtVgCjQaS8zMQV76nkzE/uJ+oReCiwFp2+CGsiiFRUhOByMdbajy7oI6h04zH1oSQkBFFECoaxblqDzpqcTEVHxhj51R8x1VSiX5u0uKylpUTaexj9/aNYN66ZIkb2LetwP/IcsTE3xrISDAYj0sAIFl+Y0qCE8thr+E+24/b6kPQ6DAqYHn6aqhuupvbKi7CsbsD92KFU6pm5oQb/4DCiDBiNiCYD8Qkvelcyx10wGgie7MBQWkxsxI370efROWxJAQ4EkWNxpECIUPsZnHu3JQNnFQWdzYJoNiIa9CixOKRlJ8ixWDJjwWRETkTzeoYURWHolw/iefJFDJWlGIvKSXh8jP7mzwh6PWVXHMzrPpvrMyxHo8DUiYdgMiZrBuRILlZvoVLSZhpDrpa8FrBWYKb74hcqzxuyi6zaFGVygFc+LITbfKYJgSRJnDx5kuHhYXbt2pUKKJltjFC4Psi5TgbUiZEsy1x4yfkZD6ndpufdV1bTfNzL08/5sFhE9u0tZ+dWF2ZT9u+hdyDyelS7SDgioQAWkw59Qz3etgbcfgmP3o5OryMi6Yg0j7CmzsTGIieKojDhiRMLRbC2H8N3LMIoXoxWI5ZV9ehqqlCAuurZ2wxOhyAk1yrXucJ0Pvkkuio9uqYKPE/1IEjJegA6u5WJJ1/C/dgL2HdsJCGXEBqL4I+4ce7egqDX0VBrJhyRSSQUim0OKsdGkNwToCiMKDpabetZUz/OkVAprwWKGYs5iJhd1OitqE5WRVGQJAWHScFst1O2rYlTjx2jKtyNp2QrIVc5Qn0DJr1CbGQIjAaaNjixWlehSBJj9z+OzmJGZ92SOj+dMemaNjfWJt3qr/8z1lQS6Rsi2jeEZVVmvIV142pKr7iAgfufpv/4EL6JMIlQBF2xi4aohPLnZ5F9AcrP34u+ugyfP0Swq5/2n/2eTiFGUVkZ4qoagm1dGFwOEEVEkxFRECEhE3d7MFWWY9++AcFoQApHEPQ6dE47ke4+Eh4f1k1rADBVVxDrH0aWJGLjE8ihCNGhUQxlxdi3bcBYXY5lbSOBI21Y1jYiGg3I0RixwVFcB3ZjKCtGGRyc2pQkniB0qouE14+xtBjL2obUhDDaP4z/teMYayowFCcnkDqLmagk43nqJYoPnpOaHOXCXMXbXFeFaNAla8O/HtSnyDKS14/tvN0Levy5pqRNRz7ira15LxKLZXnLskx7ezs9PT2ppiiF2G+hmG5CEAqFaG5uRhCEKTnns+0PChcVr768ZtrfxMQEzc3NlJaWsmXLlqwPm9Oh54JzSymy9mOz2VizZmq98HQMeoFQWOJYqx+fP46iJPPLwUzCto6a0Vdx2UQUswNTPIgQ9NAs72Gt38irzw3S0xsicLoHQ38/dpOVUbEIYyCCcvgMylCCzXtrWb96bk0MMqLuh0ZRfD6Mm9YkW1/G45gaalBiMWKj7te7kShIkTBrGwReGHcSHBhBtHaALOMNKohmJxaXk5paB6a124kNjyEFwtQpAkODYZ4JDzN4xoISC+Is0uE3Ojh8LMjWNTFsQpxRP5T5+jDcc5Qe/xhKIIQwOEpdbBB/aS1nbBuIR/SI4SAGSWCjNUidJZw8F50O0WYh7gmkLN7XT1KtT5p58urPWebkgiiiu/BCmrtcBHWdCLoB/Ho7ExWrGDVOsFPXgWg04G/rwhOx4fYrKIlKXO5BKgJ2HJtKGb9kL36LDkPnABazGfGGt1OxdSPGk91MPP5CsipasYuEx0fodA+2LWuxrl9F4Ehr0uUuSaDXY6wqw7pxNYGjp5B8AcJdvZhqKql47xWpgjCVN1yNFAwT6epNfk86EdvW9VS85/JUimu6eMWGxxj8398RbEvm34smA/atG6i+6V3oXQ4SE16kQCij4AyA7vXfJbz+vMV7LkaGddNaHGdtwftCMzqHDcFgIOH2YK6rouj83Fzm8zm+Sj4padN1Sct1DJIkEQ6HNfFeDFQhLHTFsvR9RyIRWlpaiMViqW5V82Ehos2z7VP1ElRXV7Nx48a8Zr+5iG2+44PslryiKPT29tLW1sb69etpaGiY9bvMNRq+ssLE4EiURFymyJWsKDYyFiWRgMGqs9DrFEoHT2LyjSCbbYyuPYsj5WcR/U0fsQk/Vs8QdPYwbi7GIOrZ6Awy5o4SHx+nbuhVtsVd+HTbMVx5ETqrGSWRIDo4CoKAqbp82lKbU66P1ZJ0sUaiSF4/6JO9yqVIjITH/3qdboVASxs1IZn62oN0jxsYPTaMYDZjEGRWyafoL1pNrHgNlhIr5vpkHEY4LKG3RpgIVVJrjBMKuSld3UBZUMeRw2McfzFEk/skFQMnsQXdtAsg2q2UmWKYYkGkQJzNnU8jRkL0lm8mYbJQG+lld5EeUXgjQthYVkxizIMci6fEW5Fl9A5bcl359e9LURQiZwYw1VdP2za15biftnAxlVt2IMUULHYzRl2M3pCNdZIem8WCd8jHqDCBocSFqBcIhWVeORbjigNV7LlgFYn95zIxMcH4+Dj+oSF6FQXXgS2YTHriR04RevYV4uMTiCYj+mIngz/5HaWXnYexqpxIdz/mNcn70NxQg+QL4Ni5iZK3X4B1XVOqSIoaXV/3N39JpCtptRtKi7BtWZe6BukBY4osJ5uNHG3DvLoencWMFAjhe6kFvdNO9c3vRl/kRGezIKl12F9H8gfQ2215twuVZXlOVSJFg57qm9+DeVUdvhdakCIRSt52HsUXnztlYjET+ZRGVRSFSFRGpxNSy1yTmSklbbouafk0JQG0Ne/FQP96H2ZJklL/LxQ6nY5AIMDzzz9PWVkZu3fvLsgx5lsNLRuiKKaWD9J7Wm/ZsoWampq896emtC205a12WxsdHWXPnj0UF09f5nTy/nJx6UdjElazSFwnEAwlJzdmkw5JL+OLm+jeeJD+uo3YlBiCswSfzk50NMZQxyiNng6UcBCd34Mj4GEsUot/rJdzzzyHThTR6fUYIpsY/cNjSKEIlk1r6P3P/yHU2gWCgG3zWho/+xEcWYKyVNRzsK5twLKmgeCJdgSDARIScjRGfNSdFG5RRBCFZIGQwX72Rv9M6YQRf/06nLU11FnCVAkSfzrVx+BpJ/Y9Deh0ApKsMDwew24zENaJlNZbCPUli4fY3QM0hgYRYhGazryCPhwkISTriOP1MqwzUldbiWyIcNixnUFDPcKEl1CplcGStRz3jFFREUcnJEUJQcS6YRXRMwPETEaIJZCiUYouOgclEiPc0QOCwMRrrcn1VFmh52vfo/jifckCK6+/4Dt7Qjz46Bhj7hjjOhlRLqc6FqXUphDXWwgWV6HvOUEsrsPu0CMYBfSjo0hVZbhtFbQcD9BQa0Gv11NeXk55eTnBYJCysjJ0Oh3uAyYmvBMIpzow1JRjWt2AKIh4nnwRORCi4r1vZ/gXDxA62ZG813QizrN3UPPh96bc2Iok4X7iBTxPvkR8wovOasa1/yzKrjg4pRJeumER6R0k2NqBqaE6Vd5UZ7diqCrDf/gEZddejKmuCseOTXiefQVFltHZbUmL2+On5L0Hcoo6n3z8ucat6GwWyq68kNIrDiYrys1l7TxHt3l3b5iXDnsZGoli0Its3mDj7F0uLOaZRTeXLmkmkynZXjUanTElLRRKruVrlncBmSlVDAov3oqi4PV68Xg8bN68mbq6uoJZ9gvhNtfpdMRiMWKxGC0tLYTD4Xl7CQot3pOt5XA4zOHDh1MufbM5d1egKIo5ibfXm6Cy3EhJsRGvLzm5cTn1eH1xTnWE8PkTWMxOFIsRnd6IZzyKxahg8IyjM+qICmZknYjRbMKSiBKM6dGbDCRkmZicICZImM0GIvc/Tuz//TAptgACRAeHCbV1su3eb2fkJqdfE0VRGBiKMDwWQ7fvUsyRBJFjJ0kEgsTcHpREAp3DSsIXRNQb0Re5AIVEzxmaFCg9rw5jiVrG1sBu5yiHgiP0DqiWkUJluYkNa20888IEkpS8ZnIsTqR3EExmKgZOYIgEkaw2hFg8mRKkN6GPRxn1mZCqVjGhr6bEFMMU8mOuqcFkrqHzlED9iaPUmwIo0RjWNQ1Uvf9aooOjjP/5aUJtXcnmHaMTGKvLMZ69nfiRUyAmg9qM5aXERt0M/ewPABRfeA5j7hh/fGyMSETi/2fvv6Msy67zTvB3znXvPh8vvE9faaqyvMmCLxQAEiBEiqQcye4lii11s0WJQ7K1NJpZo1mjkeGs1RpRSyKwOBIHpKhmQwsCQQMIKPgCUN6k9ya8j+fN9efMHzciKrNsVmUWUOjh/i8iXpx733v33u/svb/9fbYlyOcdms0s812BbQdoIJnei5q7iIwD3JmLiCgkKZbpPvgBMuU8K+uvr7joOA4jIyOMj44y86ffoz05jhqu0PU86kGA6Rh0n30Z89G7mfxffoXemcskPQ9nZJDcXQdu0BKvfedZ1v74L5CZTKpL3umx8SffIOl6jP7ST99w3OvBS3W9tK3wqmvdcDNEnTpJz8eqlBn+Wz8FpkHnxHniWhOjkGPwpz9K/yc++JbX/KvjdpBOt6Vt30ncTMl6fsnjz762TqeXUC6YBGHCk8/UqdYifvonhjDewBfg9c7z9VzSZmZm6HQ6PPXUU286ktbtdnEc57Yngj/M+LE5820W4+0EwyAIOHXqFJ1Oh/7+/pvysX478W6VzX3f5+mnn6ZUKvHoo4/e8gV4u4l11wNutVq9Qdnt7T5ctoFve7032lgVCyZKC4p5k1JhS2c5SVibbXPPUMj5NUmtpen5CVIEZLMmd/V7zFRDemaClgKnlD6cI8sm265iWRZmGOMe2oMcGqTX7dH99rOoRjvVlRYCROoo5s8tsfDv/hMH/td/snNOSmkSpYlixfef91heX8EPFALBwNjHecDXiGsLqHoLHYaorod0HKSbIWl10Eqj4wR7qILVX77h/fZJj58YWCT+icdotWMKOZO9u1I9+fOXOyyvBagEoo0G7VZIkMmR8+poIRGGgRYxbJV5tRCEoWZdl3BsweiARVw3KQ44OGNDNGIHL5ulmFsjMzVG8aGjqTe1EKiejz08gD06iI4T/NklIkOgE0XuyD7swX6EITGLefy5JerffobSsXu5eLVLvRGxZ5fLpas94lhTGs5TXVLM1yOGRJ0+uYiYniK+soTVrIMAqTXZl55CiAH6Htz3muvg+uw36fnEtSbZwX6svjJ9fX07vc7OuctcefkkqtekPFimUpkkW6nckE2H61WqX3kSDAMEhCvryIyDWSnSeu4klcffhzMy8Jpjh2ub+EurqCgmXN3YaWsARJt1rIG+Hea/Wcwz9nd+nnCtStLqYA327WT9bzfe6Zz37YqbKZu/fKpFuxMzPZHZOdecm3DpWo/5JZ/dU2+v2rAd2yNp9Xod13XZt2/f646kbVsgZ7PZd0357bd/+7f5J//kn/Drv/7r/M7v/A6QEnR/67d+i89//vMEQcAnPvEJPvOZzzA8fPNtiVfHjw14w+1lnNdqNU6ePElfXx+7d++m0WjclnWvj9tdNt+uElSrVe644w527dp1Wy6+dwO8kyRhdnaWy5cvc/DgwXe8MfJ8zblLAd95dg4N3LE3z/1HS2lf+7o4sDfP88ebLCwHDA/a6DBg7vlrqHqd/fFZpqXDy9Zu/KF9TO3t50OP9uNcPcEfPldj0x5kvCiR2Ty1dR+r02WyeQ2VD8nunya3fxphmojVKr22h9TsELC0SkeniBM2v/0Me+IYIQ1OnWtz6myHVidmbV3RrLap+E1kbRNhmXTiLusXnqNPgTU9TrxeRQfBDtC5+6a2NLYnMfIu0XoNezjtG6sgJGp2MD/4YSoliwO7s2SuKzl+4sMDfPWJFS49s0HdjzDaERPrL5OJPbRWaK1A67QEDimIRwFCa2QuS9xsYRRyOx7UMp+l/Mi9TDz6Cmmw2Yr53p9e5EpjF/mhEruSLnvyXbL7p2n+xbdRjTbtlU2MjENmeozM7gnMvhJhtUHcbNPupP3OwX6HXk+xsh7gxyZJvohhuTx2h8Vu4xArf/xl3G6dyMxguBlEHGFeOsuIdjnyC0df95rZvicM10ltO1c3dzY/hmHgSgOjUmH0rjsJtKa1Vmej53H16lVs26aMgfHCOeIzl2k/fxodx0jbSnvbGoxSHqtUINqo3gDeKkkInnyRmfNzxM12qp9+7grRRi11W2u0AKh87H03bBKEEOk6I289HfJm8aN29HqrzDtRmqXVgGLevOG55boGcTWkVo/eMXjvHGOr5/1GI2l//ud/zj/7Z/9sx/Hx937v9/jYxz7G3r17b+m42/HCCy/we7/3exw9euO1+Ru/8Rt85Stf4Qtf+AKlUolf+7Vf42d/9md56qmn3vGx3nPg/WZgdDvK0FprZmZmuHr16g5pamlp6V3z3r5d6yZJwtmzZ6lWqztszNsV78ZI2+XLl2m32zz44IOUy+V3tIbnJXz32ZD5pYixkRgh4Mlnqswt9PjrPz1G/jpbxIGKzac/PsQ3v7fJykKL3swiYnmRYdmhRgaDhPuXv8nI0ByP/PI/YrNe59SFKo+WljkvsjSiChqb8qDB/uQiB47tRnW6OGPDICRRs03n9MV0SBq2sjGB0HqLIQ5xp8f3v/td5tf7uDRrk806FPM2c3MRfsNHdtZwZYRQivG5Z4lbNRpZm0RmsOwSTtRAJ6nZhwoiZNal/1MfxnAdNr/83bRPLiV1leHMyIdprk2gvrhMuWjx0H0l7r0zFbjYNenycX2C8vqLZCYn6TOrOKdfpOYZNEQGul20kKnSWxKjhEHJqyO9JRaa43STDnlD4s0uEQ8M49iSqfEMwfI6zWeOs/nCOa6eWqa10qBkF6i39/Kk3ccF2+SIWsLYaOwYdCSeT+f0RVQYYpQKSNfByGWplMO0tK81u6ZcBvttmu2IuUWfkYrN6ssvEV16AfvKLLYhEUrgxw5xpoTbrTNWvcSekg/cqBp4feYtTJO+Dz/Myh9+iWB5Hau/jPJ8/IVVjHyW9f/y34gabYSUlMaH2fvzP0E4UGT+3/4hvXNXSLI2stOBXoBRyOFWygjbIlhaS8mFW0Ix7RPn8WcWaJ44Q3D6Mtl9u8ke3IO7dzLVK1/dwOwr4e6eoO8jj1B85J53dD+8VfyowfutMm8pIJ81Wd+8sd2RXgcCx7n1c38ja+ftkbRf/dVf5e/+3b/L7/zO7/CZz3yGz3/+8/zDf/gPmZiY4GMf+xj/6l/9KyqVN59seaPodDr84i/+Iv/hP/wH/vk//+c7v282m/z+7/8+f/zHf8xjjz0GwOc+9zkOHTrEs88+yyOPPPKOjveeA+83i1uVSL1eLvShhx6iVCrtrPtugPftWnfbetQwDPbt28f6+vptOLtX4naCd6/XI45jgiDg0UcfvSUd4wtXOyyvJgz3ix2d9EqfZm7R4+zFNg/fdyPpbaqU8Hj7B1y7NMPmSxexug0YGoXJaSJlsWoM4Z9cJ/v1p9h0Yu76wKNY/aPs/i9fZa2lURiU6VB+YIqxv/2zrH/jWerPn8a4NIu0LYxCDmdsiGB2CRIFhtxihyuQkvz0OKP77+aZsxuYZoBOOrRaEt3x0LGmWhhlWLTIEIMAFSuCSJLJC1QuT0+B262RhDHSMhn+G5+k8vj7EJZJdu80ndMX8bsh369NsqaLDPdlsCxBvRHzjSeruBmDQ/tzhBs14tNnmSh7DAwGSFPTtExK1U08WcGTGYwkSs/BsHEJKHkN8teOMz6RZ7FvH/W6gJcXcQo1pt0uZ778AufWVnFNheh2cDoeQ0JQzQwwa4/RzBbYNHPMRFNMDD7CPeIKmSDAKBVJBLReOou0LLJ7p1j/kyeYfvBBhgbtHd9wIQTrmxFBoCnMXiRz8RTtQFBSYOZdMkJjJx1kMYeRyyOCLbb+6NAN18ANbl9aU3r//SSdHvXvPpdadjo2malRgqV1pGOTvWM3Ok4I5pZZ/9/+nL6PHsPdaND38H1EPY/Nc7MkYUzieXQWl0EL6HlI02T+3/4BRi5L3GxDovDOXUF3e8QD/dgjA0jbpnjsXrpnLzPwUx9h4FMffkdEsJuNHzV4v9XxhRDcdTjPV7/l02zHFPMGSQLL6wGDA9YtZ92QgvdbcWpM02TPnj1MT0/z3e9+l06nw/e+9z2+/e1v3xJ36O///b/Ppz71KR5//PEbwPull14iiiIef/zxnd8dPHiQqakpnnnmmf//AO9bkUhtNBqcOHGCYrH4GrnQdxO8wzC8pTXW1tY4ffr0jvXo2trae8ap7NWx7VwmpeTAgQO3bECwvLrtmvTK70wjtRddWPZuAG+tNct/9CU6zxxnpFgk8BsoobCqS4SuxerwnVzsmyD0FS88EfDRnzpCqTRI5iPDuFNjDJ26QNL1yEyOEu7azfcvJ1xM7iG84w7GchH33+kSff5LdC/NE623kL6HEScpeAswinkqH38/XZVF6wx7d5UQAjzf56J/icAoEWhJkEhsIlT/nfTVFnESHynzgEDnXfwkj7NrlKnf+GUK9x7eeX+5w/vIHd7H+ctdNv/bGpPDNpaZPiiHB20WlgNOnWtzaH+OpN1F+T64DkmzTe/UBYRh4O6dZGxpg16rSssuIS2TQlDDCrqgNEYUcf/a04y156kVxhBC47aq2IkHXgM76BJIg8SwUX1DOJHHxfKd1DP9lLwNgkwREYXMlfaTz+R5WM6zsOqz1OtD0UfZFhzp76P29R+QuXCNT/yNv8lzMzmWVnyiWBPHiunJDLtPXsPKZVB9JfTSZWIvxCxlkb6PFQUo38eslLEGX5shaa3peZrvP1vn/OUOKog4sO8wd//mfbidOjKbYfMvvk24uokzlgK/sCWZvZOpjvlLZ1LWtm1h+EHKg7BtonoL3eqCaaKzGRLTYPPsZWStSe6Ruykf2ktrYZkkivCuzWMP9WP1l3d04EnUuwrc8N4Hb4CjhwpUaxGnzrepNSKkFAz123z8w/2vsdJ9p+dws6Ni20zzfD7PJz/5ST75yU++4+N+/vOf5+WXX+aFF154zd9WV1fTdsyrKpDDw8Osrq6+42O+58D7dpfNtdbMzc1x6dIl9u/f/7p94ncLvG+lbK6U4vLly8zPz9+gqf5ujJ+9U2ex7bi+FXH48GGuXbt2W3rxji3xA2h1NeVQ4djbHum8RmnNm1mkffoimakxYitD5GSx/S7aNFjrGpyJh4kTD5OI3MAIL5zsEcXr/MxPjpDdN012y2HK82P+7EsLXJv1KRVNrGyGSw2TU99WTPQmGKpew+ifwGlsYCcBtgpTa8wPPczAJz9MwzEwTUEYqrQPLWwi6QACBWil6QmbC5W7mCieZW/tAqxFCAFm4JEIk7jYl5brtz7bMNKYpsCQgk43Rmt2gHs7sq6kWgvRWmMN9GEWC7C4RNTsoXo+ImMTbdTRcYQd+wwkAaZdQBGhTQMdhKA0lm0yzSaT64vESjBvDRNlcthRk8TIk+nUaEmbyIvp9Y3QcAcohQ3MJCaMIhxiJD4LagBXKLqdRewwHcvpJCY/OBPzwQ9P48/NMXDxBH/953+SeiNmfsnjK9/cYHwkg3ghRBsGqlgmKfdj1jdQPQ/iOO3HuxnKjx0j8QPmnz7Pqp+BvgoTow5+oPnG99rMXWpj1tZQHY+Zpx0uTOX4hf/pbsojRaJqI/V3B+JWh2gzVajbkQLV6UickctilApowIwTEilxpsfQfojMOijDIKi3aM8t0cyYSNcGrYm7HuFa2mff1l+3Rwdv+X54q7iVUbHbETczY22agsc/WOHuIwXWN0NsWzA17pK5DSXzmz0HSCuEb+YK+XZiYWGBX//1X+cb3/jG25qkudV4z4H3m8XbLZtHUcSZM2doNps8+OCDbzhb/G5m3u8EFIMg4OTJkwRB8BpN9XeLwf5OwTuOY06fPk2z2dxpRczOzt7yBmOjGnLhSof1zYTVdcVmvcnYsEMhZ2KaggN7b5zPjBstVM/DmB5HaFCjEyQzlzGCgNm+MZJOh1LcojswwehkmhWfP1/n3l2SXYcGd7KiKzNdZhd8JsecHe9tv9Xl/JUeQWacgX37cdfm0SIh7rbJDuQY/tgxhv/mp8gd3oebaMZHMswseEyMCOr1iMjOYHk+pgRDKMw4IJQOL0w/TsEIGV67jKkiEsOk6+Yx5uaZ//d/RPLTP8eLZ3qsLHXJuAb3HRul2OciBESR2jk/gJ6XsHdXlt6Fa6x94au0T11AL67gO3Zato9itFJoQ+6ouKkwSo1FtoRhIFU9E4ZEJzGRtuiZBYoiTAluUYzSAify8Kw8nhejigZGotCIVDOdGIIYFRl0N5YwkoiuXUCaBkIlZDZXeOF4lmO783TPXUUIQaXPwvOT9H831omGRrHWFkn6BggGRpGdJsr3EHrLqvKDD2I4Ni/85r+jttIiMDM0J+7g+w98AD+W9Go1+pavYkQhMpuhEPvMXPJ55j98m5/4v3wad88kvYvX6F2Zw7s8i/JDtFIoPyB7cA/2yADe5Tkyu8Zx907RevYEiZc65IULK2ilsIcHQAgsN4NlWBTGx1mrNlGeT9DuEbY7NBaWcYoFKo/cQ/7oG2sA3K54OyIp70bcbNYrhGBowGZowH7L177duNnP4HZKo7700kusr69z33333XAe3/ve9/j3//7f88QTTxCGIY1G44bse21tjZGRkZs+zt/+23+bP/zDP9z5+T0J3m8kzPF2yubbrlq5XI5HH30U237jC+W91PPelg7t6+vjvvvue80Y2I/aZvT66Ha7HD9+HMdxbviMb1ZY5Y0ijBRf/voq65shE2MmK2shm9WQ9Y2Q6QmXn/7JYfbtunHXbFVKW0zpNla5yMAd4yyEGmtlnrZVwHJM6n27ye0axlUBnQszVFcCTl+YgTsKDH36MXIH97BZi9LsdRu4F1ZZPrGGjnL0el0WZYX8rkGK76uw3JLc/xOH2P34K0pxhiH4+If7+W/f2mB5NWBlPSCSDlnZY6S1iIwChFZsFMZpFUe4OnQP2W6DxLTolEYwZUKxN8u1v3iSa09tcnH4AUJh0SHL8yc73HNPmdHhEgsrAYP9FtLzqNUChGOzVzW4+D//vwnWNlMBlk6PqNZMM+pKGbNSAg2evwhBuGVBukWdlxKUAnT6eyFha1Zc2w6+sHDiHomQmEmIFfuITg2rP8DDIWMEuDmLjClptA36W4vYUY9epoTQgJRowyCJDMLVGqHjozo91v/kCbIH92Ivr3Po6W/hrdVxXAFRiH3uBLrewDANzEwWw81gTwwjBKw/c4aVXh4xOEZO9SgunqBayPAd8wClTp2BMMAc6EMABmBLk9krq/QuzlB6333Uv/MsredPpop32Qyq62EN9RMsrtH/yQ/RO38Vf26ZOIyxD+3H3KzSO3sZ4Wawh/oRhpHKm3Y9MhOj0O4iFtaQloUs5MDNoNZr+HmX2f3DbJ4+tSPrWS6X3xWQfS9k3m/2nP1hncPbLZvfanz0ox/l9OnTN/zul3/5lzl48CD/+B//YyYnJ7Esi29961v83M/9HAAXL15kfn6eY8eOva1j/cRP/ASf+9zngPcoeL9R3AwYXi/BuXfvXnbv3v2WJdx3s2x+s6CotWZ+fn6nvD89Pf265/1eAe/19XVOnTrF5OQk+/fvf40N4K2c4+x8j4VlnyHRYmNhhv61Hr5VoO4OUq8Joki9RkI7Mz1O8d7D1J98nnBtk2y9Ta5ep23YeCNThIPjlAoxEwOa1ktn6G60Mdw+clmD9snzBEurTP/m3yHjZLYSUY3yArrnrpCoIsI0yTgOhlOkXWuijCK9yTECO/+a72lowOYX/uooMwsex8+02Kh6ZMoVon6XaHUdDIPE7WO0tUKpsUwkTNpWmVzYZdJpI5tt8EKGNwOuyQmqfbuQtiIJfF54ucEHPpzlwITJ5aev4Fdb5KIWRwoN1J8/S7xexR4ZJGl1iCwTvFThTLoZjHwO5flI00QlCplxkJZJ1O4iTBMMifJCdBIjHBtbK4pxg54aAuliyB6ZOCQ2LPp6GwidMFG7yMzQ3WDncKVmPc4gjYBskmqhS8dGhxE6TlKCHAYiDOldniUzPc7Gn36TpPPnKM9nbGSU+YEy682Y89lDbJYqmGMJh8w1HhtYo7hrhN6lOZrPnKAzfYiunyFvSEKniKMS+pYuYI1MEHZ8ZDFzg5y6NkysJCBc20wZ3w/cSev4OZKeT9LpYQ1WKNx3mLjaIK43qfzar/Dcl88yP9fBz5XZ88KXKY+0iTDx7Dy2qbGsLkiBiiJaL55B1ZoYxTzFA7vJHtgiwi2vMTK5m2h6lGq1yrlz53ZkPbfBPJvNvu69rpWi9q2naT59HOUH5A7uofyBB3H3vP7Y5Y9Dz/vdjrdTNr9djmKFQoE777zzht/lcjn6+/t3fv8rv/Ir/OZv/iaVSoViscg/+Af/gGPHjr1tstq2ABH8GIL3m5XN4zjmzJkz1Ot17r///pum/BuGkT6sb/PFd7ObgjiOOXv2LLVa7S2lQ3+UHuGQgtrVq1eZmZl5Q3/zW+2hd7oJ3tIa7cXLdKs9jCihT21i2TU6wSjf+QuP4QGHo0deEbMQQjD2Sz+DN7fE+le+S9DpUrQt+odHCPIbXCmN4xQl1Oq0N9s0C8NMZAMmhkyMoT10z16m/tRL7Pv4xygXLZbXQspBnbjrYeb6UT5kuzWCjQ1UGNE4c4XwQA7zxfNce3IGe7Cf0rF7yB7ai3fxGnGzw3i5wOD7JnjmBwusbkKu5CKKBXxtkU18Hpr7JuPVy2itqYQ1XBGBH6C0RmnJYt8+esJl1/p5GuP7iSV0ewEnX4z5hHuWh597lqgTku/VMInxOj2McoFwbRMVRBAnW2YhqcOWTpJUo9s2MaTA6ithDVYImiF1dxDQ9K3PYpuajeH9rNFHtx1gN6vYiaLjFGlkKuSCNpnEx9Cau5eepRB1WBq/m1Bk6W/OM71xhkAbxMJG93poI33MaKWwE5+2aSPdDM7UKPbIAI1vPUvc7tB/90HGJit88doB6rEDWiEMySq7mBdtflVcxijmCNoey0sdvG4HXymE0GRFRF9WUxjtERlQDwz6t4oz7cTEQDEpGzuuWVGriw4jpG2BYaC6Hp0TFzCLOVonLvDcSpaZoISzbxeZXovuWoM1ZzcgUH6E1JpiwWV6sMvQz36cjS8+AfksRn8ZkXFQYZRqkycKXW8x9MBdDA0MgJQ7sp7VapWrV69iWRaVSoX+/v4d56y41eHa/+PfUf/2M+nmK5uh9fJZ2ifPM/73/ha5g3tec9/8qEVafpzAu9vtvu6z692Kf/Nv/g1SSn7u537uBpGWW4n3JHi/Wdk8CF5fErHVanHixAlc133bI0rXS6/ezovvZvrTnU6HEydOYNv2TZ33jzLzjqJoR5HuzSRZb1bS9I0iG7WJ1zboKhMPB0sGJJkMiTIZ6CwTzPd4+dsZjh55ICXLzXucv9ymsdElXi9QmphiYCTP0OQE0rbInTuHGxc5H+9ieVNjkWUq5/O+/iqmABXGJF5A9ZtPMXlgN48/OsiTz3dYXtH0RImsjBj3anTCGC2yKJHgtQwmXvo+pdICYV8Of2aRxjMvY7oZ4laHYHWDuJWaHzxS3sN3+j/KZlBEahMrDphee5nB1iK28iFOkLaNBnQSg0x1x9fL01giwYw8yqvXSCyHQpTgyxHE5WfIbFzDESAskyROIIpJqk0o5gENQbTzmapujxiIh8eYzU2zqPsxS3ncyTG65WHiXBGtNDnVw4wCqvWIoNZEFWLikkff5hxTzSuUvU36ohrSEKAFhk7Yv3GKvbVzqEIRo9lEoIiRnBl5iHzQIpYm2jCxIw/PyjHSWcKvrhJt1JCFHEJIkIKo2uCr1lEaOoNrRBiBhzBsQmFxrVfgmfogu70qL9mHSNqQCAMpNAW/RpJEtHxN3PI5sr/A4pWAxbaJsCwyIuJQ9zJ7ph1yh/eR9Hy8C9dAa8z+MtKyUqOMuSV6V3pQGcDtnOIeFNHkLlqP/RSxNAl6MfZgP4OltPrjdwLqlsMdD93NxlefhK5HIur0Gm38qwtkD+1BBSGtF89Q/+7zoDWFew/R99gxpqammJqaIkkSGo0GtVqNmZkZzp49Sz6fx/yT7+A/8X3MfBajWEB5PkmrQ+/CDLUnvp+Kzyynim87FqW3AJ5RrLgy47Gw5CGEYHoyw97p7E3LlcKNwKmVwp9ZJFhZx8i6ZA/ufVsOae803g54v5u65t/97ndv+DmTyfC7v/u7/O7v/u4trfvlL39557zfk+D9RvF6WafWmsXFRS5cuMDu3bvZu3fv2959Xg/e78SV583WfTNQXF1d5cyZM69ben6j2Aba2+mudjPg3el0ePnll8lms68ZtXuz9ZIknctutiJyWYNdU9k3dBHajkF/nZFog0t6kEQosKBn5iGJ2dW6wHLhTi6f2+Tr391gYdnj3KU2nW6M3+wQV0eZGBzkZyabGE660cuN9nNv+zS7PjpBPdPCeeEsu4aHMaQgarRov3wWf2EZa7DC/O98juwdu/mFX/h5rvRbzJ9+icKVWXSzyWz/QZaykxDH7PUW2de9innsbtb79+L3SfQPvk9+9SRWIQdb0qbRZo3xWoO/ZvRYOPgRFlYCnI1l7lp6mnzU2iGLaa3RYfRKC9qxESohFiZCJRh+F8/KIS1JJuyQX5tHGAIj46CiGL319WmlSNqdNONWKl1PpjKubeXwQuY+1t0xMo5BbGfY6I3SV8hz33QRwxRcvmazuOmzJ1qk2F5CJ4peL6aRH2L/5in626uvCNUIEJkMoJFegKxV09l3w8C0TQ52L3ElswclJYbQdLIVhtqLjLQWUoETQ6LqrVRq1jRBa650CwgNlgFqqw/v2IowMTizImifr1Ls1lBCIrRGSYNGpsJoY4a54mHKK9d46K4+Hn1shCvPz5B0PYbMLqN7yoz+0l/FyGfpnruCimPc3ROEa1WUZaKShKTZTiVp/QAwwTRxrl3ADWIuFe5gpHGWwHORA2UyOsDobHDRGOa5f/R1In8fQ/kM+4x1hvszxM02zWeOY/WV0FpvqeMJNv/iO/QuzTLxD/97rHIRwzDo7++nvz9VzwuCgNXjZ1g6fo5YJUSmxIhCLNeGriLu9Kh+82m6F66S9FJ/cnfXBMO/8Ol33PMOI8XXvrPJmXNtdByjheTFkyb33Jnn4x8auGkA3948JJ7P6v/257RfPI3qBWAIMpNjjPz3P7Mz1fFuxHb19GbB+8fRUewjH/kIn/3sZ4EfM/B+tTxqHMecO3eOzc1N7rvvvp0b4O3GtrPWu2Ei8nprKqW4dOkSi4uL3HXXXW9L33ZnZ/tDBO/V1VVOnz7N9PQ0+/fvv2kbz3Yn5svfWOPqbI84UUgpmBjJ8OlPDDPY/8YVBtM2edSaQccx50QB33DJK49drSuUoibPy0HslsH3nqly8WqHnp/gWBozicFymY1sfrBp8lfHlreqxgohBX0lg/JD45iLFwmuzOFMjabqWMvrGOUSxfvvwijm6Zy8iDC+RKnaYKo9Q29pDu353LGxzB1SIlwHlKZVHOG5xi5axgh+rYM072UsV+Se1efJ5Bx0kiBsG6Qgu77Io/vPE/jL9NbnsSYqJA2NdB3CaiMFDNNEK4U11E+mr8RUe56qO4RnuAit0VGIKhQYFU2s2EdHGpWotJ+89f0JSAVk2NkHEAuDhjvEzOARlguTlGWA9Lr0AgVJk66OWC/GTOwfwDAgChJaq3VsL0i11aMInDwbhQkm6tdStrpMAVeYBip6JcPHkCn5LU5wwyZ3Np4HKbCP7CNZWCXpelvMdo3upZurxLaQSULc81HW1t+SGOk4IEDHCRqT7NI1sr0a1fwIpooRSYwd+xT9JrMDR1jr2814d4av/iDDxEfK3PvLRxmnipnNkD2we0eSVG+5ZuXvPkS4ukGwtEZUayIzNipKwHWJYwfT2VKhq1dZHpuCJGa8M4+51CRBcFFMsuSMkUkCDNPkUt8R1v1RPrB+nJKZoOMEIURqG2qnm117qELv4gztF05R+dj7dz42FabKemYuS59h03AyBIUCMptNzXHCkCQKEWstxOo6YaeDaduYuSyt+jmSMIRjb987AODS1R7XvnuWAytncOtrqIxLa/owJ+Mj7N2VZe+QoHPmUmqDWimTu/PA62bR28BZ+9YzNJ58HmdiBGM6j45i/GsLrP7RnzH9f/57Nxi/3M7Y9kC4WfC+XT3vH2bkcjn27Us1/d+T4P1mzmLbYLhdbrYs6207Vb3V2rcrXm9DsO0ZHkURx44de9sX0PbNeTtL/G9U5tZa78yaHz169KY3GdvrPflMlfOXO4yPOGQcgzBSzC16fO07G/zCXx3f2dFrpQhW1lNv7JFBcnfsoW+0xIcvnqK0ATWzTEV4FNtrvDj9EQJtcHBQY2QNPD8hiTWB1gwMFRCJRy1ION/O89G6R3L+XDr2MzmC8eJZnA89wPgv/xwrn/8ynTOX8OeXsSpl8kf27XhO2yMD1L/1NGaxQGZqDP/aAkn6xtKHuTSIDIOX+h6gEWfJ1TbJry4TK8Fs+SA55XNnLxV9ERmHJNEEvYT180uY9Q0EYPWXiaoNotVNEAKtFNK20IZEWiZSwP7WObrKYL7vDkIrixSKXK/Nbn0VqTUoleqTqwSu+/pSzrhEC8FGeYKzQw/ScAep5wbBMhnszmKGPrFbRmqFCkI2Liwx3G8CNjpKiOPUIlOFIcK2EKaJltc9FHU6VqbDaEdtricytNwBlDCxdEDF38QAUJrw0hwk8Y6UbHq+Go2gZlZo9Y1RZojxeJPzjKJNG6vgghB43RgRJAz2VomzRbQwiKRAIomlSdmrUssP03b7WBaabBxRe2aJmbbLxz69m0eO3sghcXdN4IwOEq5vktkzibt3it7lWRpPvoC0LeyBIp1qRBAqMkJgSYEMfc7t+RDZiQhTdmldnmd1QVDQHnndRWhFPu6w4Q4y6+zjg0cd2i+eQWYzO8ANqWSrcGx6l+eofOz9qV/BD16i9q2nCTdqGG4GZ3oMs1wkbnXQ7R6ZSgkyGcIgJvACtG3i1xpow0CubWA4DnEYwNg7Y7HPfv8sY8/9N3IyQOWKGK0GlZe+TW90g7mJRzHPfht/bjHVI5ICd+80Y7/y13BeNbueJAkiUTSffhmzVMAspZmtsC0yeybxZxbpXZyhcM+ht32ONxPbz9of9qjYjyrek+D9RrENsEtLS5w7d47p6Wn27dt3W0Ds3bLvvD6j3TZDqVQq79gzfMdy8F0wErk+wjDk1KlTO5ajb+dCF0LQ7sRcvNKhv2ztCKrYlmR02GFhyWN1PWB8NEP3wjXWvvR1ejOLAGT3TDL8sx9n9G/+FIv/3//KvrmXqG/MEWaKtEsjdHMDTNg9+vbs5oUrbfxAIYVAa8F6PWG40oe90cKorlN78i8QvQ7CNPFml1D/9o9wzlwm97v/T/b+336Nza99j8Xf/wKFuw9iZFNpRq01mAbhZgNrqB9/bjnNtIMwZWSrBA1s2oPUM/3kujUSYWKiySQBYdxjrrCHO+JZpOgRt3uEpoPstYgbZ1FJjDQk3qU5SBRGJs3QlTIxh/uRpglhRDC/gvB97mk/x3RvjtbAFEaSMNhdpmiEhIYENESvVKIUEEmbhfJ+EtMkFhZnJo7hW1lyQQuhNSEWcZgS2ZzEoyX7sYSA0MefW8Ee3EWsFJFpEzV9RBwRGBItYgZbi2AaKQArlVYLZNqvrvVN0ElspEqrAEboE8caAUiA4LVKg7EwOT1+jIX+A8SWgzu0HzufI78OnZ6iVw9TeJeC6QEwr2h0FGGaAQqJQKMQKCFoZAawIp+h9gJmzkXUG3iXNE/+ecS+3fcSRRopYaDfRjkOzkc/jP/F1Mtb2BbRZh2ZS52uDKGplC3qjZCkExLks0zE66j+o3TL/YicQfvFGRJhk7MFRmyiPD81GNEBq/QhzRCjmHv9LDOOMQrppr359Mus/KcvgSGxKmVUz6f13ElIFGYxTxQ3Cder6Cgi8UOkZWL2lXDGhlEqIQwj4lqDzuwSoutx4cIF+vv7qVQqN8X70VpjvfwChu8R75nesQOVnTal+QvIr2zi6Tru/l1Iy0SFEb2L11j/4hNM/P1fvCHRUkohkoTE85HujccWlolOFEnPe8tzeqex/Qz7P3LmHQTBjirbjxV4yy2m5oULF7jnnnsYHLx9qkXvlviJ1pokSZifn+fKlSvccccdTE5OvuOS9/b/3W7wjq4rfbZaLY4fP06hUODYsWNve5MhpcQPFVEsyLo33ki2JYlijR8k+MtrLPx/Pk+4XsUZT7P6zplLhBs1dv+j/4F9//TXML/8LfTXnqQkLGSpRM2xCEcmmWtAo+ljSEm6nxEkiaYemBiFEvde/gtkHOJMj2P3lRCmQWdxBf87z1N97jT2kcPk3/cQ2e8+R1Rv0U0sglBh2wI2ailTOIpRfoCRy6J6fipykihIEiI7gzYtRNDFJEBHEUIrLBURC4OgE5LZUuqyw61S8RbzW8WKYG0TbVowMYUVdcmMZHH3T+NdnSd390G8SzNEjTYqThhOIoY2zyJsGxUEJEIgMk7KZL7uYZgYNovlfWhpYCUh14aPEBkOWhoEpkslrNE0BD0jS0l1yUdt6lFAgEvcbXL2XITnKvJeQC82mMnvJRN1sVXERO0yo805rIE+tNDEq9W0Jm9IIsuhrTJInZAIE0uHZOIeMkmIDIdMRqI9/5Wseyvm+w8wM3CYXNQiMW1qXQM/sTCTHqOqQYiNZSj2+PO8/9mvctrag9voEWoDLQ00Ajv26Fl5DBUx2FlGKL0zGlc0Y+Zmm/zH/3gZYdtIy8SKPbL1NRKlMcc+wl7W2F0O6Z8coXvxGhv/9WsEi6uYpQIVEZGMFBDFHEd+aoL2o5O8fLpNuxNjuxayC5YtEKaDjmIIQhIpsMIuwXKd/o+/n96FGYLlNewtDfZorYqwbQr3HkbHMfVvPwtC4O6aSD+UYh6ZsQnXa+QO78ObXSRcqyIdC3fvNM2nXkJtbdikNMhkDJJSkbDawDMMXNdlcXGR8+fPk8/nd8bRSqXS64Ka6noUvU1quSJSpXszgMDJYfcWya73cO47gLTSZ4C0LeyxYXoXrhKuvcpVTSnMfI7M1BidUxex+l+peMSNNkbO3ZGkfTdiuxr5Vs9WrfWPbc/7a1/72g5L/j0J3q/34W+DdpIkfPCDH8R1b13E/vq4Fd30N4rtm+XkyZO0Wq1bctjaDiHEba8SXN/zXl5e5uzZs++Y/Le9Xs6FStlisxbeAOD1ZkQhZzLY79D81tMEK+vkjrzSRzfyWbpnr9B84TSlB+/CyLmIQ7uZuPdu8kf2U1/P8+dPLLC00ibj2CRKE4QKgUYI6HVjCjmDXf4CzkAfznX617qvzNVmgRf+eAF5ME82azC2+/3IL3+JXmuFSNrYiU9+oMDuj76fzvefQ4cRYssOUkcx2DZmuUDFBp3PM18YgTBAJIpc2EQozWhzBqtVJzEkynaQcZiCimWhTBvt+8gkRiQB0eo6XqFMPtDos1dI2l28CzMoz8PIusgwxCjkiTaqJD0fHcUY+SzCtohXN195b0DbKoCU2ImPMm16mRJu3KWRyRGZGUTJpd+r0g1cNmUOqWIGdItcUsVTGs/XlP0F7LCLCELq2WEMFbNv7QQT9atoNH4nxDKSrae8ANOibldS4JYmoDHjKHUVkxItJCqMt77fG8F7obwPM4noWQU2cqPkpKSc02zWQkzL5APlFe5Ze57updRWcyofMpOZJhuk1ppCa2JpgVAMdlfTsn6kUJ0e0rboOQU2GibixDUmMj656iKlSycoeDUcRxIMjHL6vk9yeeoRColBtW8P5ofGGXj6q4wun8HIujjlIqVHj+I+/iEKRYdD+/NEsWJ9/wN87n99jqpv0Z+JkBmbbiRIkEwGy2hlk9k1Qe7QPja/8h1656+ln02pwOBf+Si5I/tT29CNGuar/LuNUgG9skHl4+/HGRsi6fSwh/uJak382UWCxTWiah0jl0XHCXGjhVkpIadH2Lt3L3v37iWKImq1GrVajfPnzxNFEeVyeScr354tF7ZF/3COdiNgrZtsJ96IJGY4b5J1jRvK/gDSNkmaMfp6rgOvML0rjz+Kd22B3sUZzP4SqheQdLr0PXaMzPT4236e3GzcLNMcbq886g8r/uAP/oA/+IM/2Pn5PQner46VlRXOnDnD8PAwYRjeduCGd6ds7nlpVhRF0VuqvL2deLf8ty9cuMDi4uItVzVSAqDmkfv7+Mo31lhY9snnDHpeQpxoPvxoP8WCSWN5HeHYN2wQhJQIx6L18hlq336G9vwSqtNh+dIy5tjL6GP30e3m6fQM0Mk29wnD2KroSsnB/XmKJ03wbyzVXrF3cWJgN32Rwagr6fZivjJbxi29j3vr38VpVWkXB7lq70dfa9Pf7RFW6+goQVgWQgqk66A8H7ffJuobotPUOBKkjljPT5KJuzw4902EViSmS1AZwmrXMEIfsnmiBCLbJDQzCK1wSy6xW8RrbuKOlzG0xpkawZ9fIVzbwMhm0XGMyLroVsoi10DY8djMjxMbFkWvhhu2ycQepe4GXaeEVDFO1KPlVlDSot8JiYYH6HSyHJr9Eo7XwjQlw6pGJWnyzcHHMayYrPJRUmLrEKu9QMMdoNhdJx80EGi010OhdgxZIiNLIi1EokEqkAZKpnapCJH+j9LpOBg3XrOhmUGqmFp+GFPF5Ao2JDGmjsg6EJ69SKu5hAwisB1K7TX2hj4zlUOEwsZQMeX2KvvWj3NaSq4NHcUNO5go4p7H7KZAEDGi1ih6bSZe+ipmHOK5JZQQ5FdmcF96imejYSb2VCh0q1Tnu1wr3sddXsy+9mU2PJNn1kfp/kUNYbcZ7Ld5/0N97PvInTz2wlW+8+QGK14GHVuYZsh+ucoDnzyIaLaofvk7jP+Pf4td/+RX8S7PorUmu3cKe2wo3YS7Gcx8lqjVwep7xdpUeT7StjCLeTKTr8wim8U8hbsPocOIJIpQnR5aCKy+IoVPvB9vy7McwLIshoeHGR4e3sk0X2+2vFKpUHz4KKOL36BYgFZsQ5JQaG3Q//ABRBwSrm2SmRp75Xtbq+KMDe1wRHbOe4ttnr3rDsb/x79J/ZtP480vY/WXGPj0R6g8duxdnUN/O+D945p5Xx/vafBWSnHhwgWWl5c5evQohUKBlZWVd+VYt7tsvr3hALjzzjtvq2zg7QbvJEmo1Wo4jvOOSHSvju12wV2HClim4KVTTTaqIcODDvfdVeLo4fRBZQ9VUvWtV9k4Kj+ge+EawjSxDuymenmTtTCH+u4FFmYyhMPHsCKfeMsP2kSAZeFmsoyOZPg7vzBNd+0+1r/0DdSWEEeIyVVGsUXM5P4BTB0Qrm+QzG7SDCTzpb0YJYVQiqFLL9AVAeMfvovM5Bid42dJ/BCrXEDrNHuqffinKDRdjIWzdKwSWkO2twZALK10msrQ6EShTAsj9NEaamYfF0eP0sr2g9bkCThQO81Qr0fvagvTseieu5r2wYMYIy8I5pdJPB8hDWQ+y3rkcmrs/TRyQygkTuyxq3qeydolslEHkXVTtyZvldWB/Qg3y+77xjD7iszOSEbtHiMLJ9MsS2sCaRAMGFgkSL+HKQQkCYZOgbfiV9P+spQEdh43aGFqBUKiowTDjFjNT5EIA2fL7jTxG0gVIwyNkbFS45NXxWB7iUvD9xIJE4cEFcckhokkHRfMVpdJykXMyEf4PlpKSjLkrs452rlBrOoadqcB0uCOxnnauQE28ynYKQRJGFOOGsRhg8L6ScwowHcKRFYmZZbnS8zZ4zj1TYo6g3HtMn3NGg27zOz0gwwttHnGOEzrcoth7yzFI/uYPxfxp9c2+Bt/czcf+c1PMbXr+5z64rN051fJmx5j+ZjocglnfBidJLSeP8nY0TvQu8YRloU93P+K37ht0Tv6IOe//DIGBmP9BgNxg3B+ifxdd5DdP024UaN3aQaUxt0zyeBf/0mSnoc/v4wuFhCGJHtwL8Wf+zirq0uvez8KIcjn8+Tz+Z3Z8mazSbVaZXZ2lq6rcXcPY84sMaQFlm3hHplk5L/7GYKlNVb/9y/TuzSLkc+StLtI16H/Jz6IdF55pm2Pr26DZ/7OA+SO7Ef5AdK2EDcJqrcSNwve25bFfwne70IIIej1epw4cQKARx99lGw2SxAE74oSGty+srlSiosXL7K0tMTdd9/NyZMnb0mw5PXidm40ms0ms7OzSCl55JFH3hGJ7tUhhEiZp0Jw6ECBg/vzRFvOWFK+svMuPXiU2pPP07syl+pDowkWVpFuBuUFuFNjXFzwWF0HM67j2lmW2znqdMhqn2TLVCMWBqHO0mtC5Y48YyMZ/P/pF2ifukDv0ixaaRpWGW/6PoqjObTW1L//In69Q2nTo2MXKTWXCYYnyLSr5DsbNAvDhI0OstZAlovEi2tE9Rb5O/dhDlRYOLeKaUtGoypRZxWStORYyw7TLgwjWhcxLBNLKnwzg5k08f2Es7vuo50pU/QbYFk080Ocjo/y/rVZMolPkkQkfpCag/ghupDDGh7EyTo4I4O0lqocjw7TtPvo621gkNCzilwavheEYKwxQzixG3X4TjydpxQ6mHHAypklDHuNg5kmU06byDYQGoRpYCpFsVdlzZjA0oJI2giZuqANdldwo27qWY6BEhItDCBBAUulaS4M3UfbLoPWSJ3Q31khG7QporCJkKZJEoRpj/y6W2FX7QIrxWkabj86CujNraBHx6i4CmdtDSsOMGwX4aQjXEbGAa0xUPTbAWHOgh5gSko5waNr32PZGqRplbHiEN/Kcm3oLqJYk2nXU7cwIRAqHVvsOiV6Vo68V0c2ciTdHjpJyPkN6kmGy1E/DaPIQH0e1ZK0FxdwMw4rRj/fvvAsx4abJLUmU0vX8BeWUKaEoX68Wgt/cRVrsJ/m86foXZ1PQc+2yB7cy9DPfhxrZJDvPVvnhc1xmkMGUbWBWfc5aIe8/+5DDP/iX6Hx1Mts/Ok3iKoNBAKjlKfy8fcx9b/8Cp2TF9INLpC75xCqmEeu39wz0TCMnawbUhJU9ehdbJ46T+PaPNo2KR89hJO16HvoLiaKeRpPvUS4skHu0F7K77+f3J0HblhzO5m4/rm8XV34YcXbsQMF/pJt/m5EtVrl+eefZ2xsjIMHD+5cENtfTBzHt10A/3YAou/7nDhxgiRJdjYcPwwW+zuNbWLLwMAAYRjeFuCG146eCSFSItirwp0eZ+Lv/DXWvvg1/KWUQZmZGqX44F2s/8nX6foJKwtt7GaNjE6wdEI350CSoKVASAOVqLSfLBW5Xp3Ar7Cw7DE1NcbAJz7IaqtLVK3j2gI7axEX++icvYyOEsx8Fr+Z9mVL7TUCG5S0UNLC8dqEZ9YwbDPtDaJTAYtEkd09SbFWIFyNKNoG2vPScS2Zjmdlok7aJ7cNBo/uZqMRII+vs1qcpOVWGOisIKRAJ4pKe4ma1Ydv5yh5bXSUAAnYNsKxieoNqAtyR/YRVRssNg1a/f1U2isYKu095+I2oe2yWZxgT77H4sd+nnpooZev8dGVJ8gYEOX7sIOIytVrxMvLSMtOe5ZCYrkO042LrOQnWMpPYauQJCNRwuDuhR8gdIJCEkuLSNppWRxJKBwu9R8lMDIMdpaITIdQOqwXp3CTHkf9SziGj1UuIt0M/twS8WZjZya97FU5NvsEJW+T1fJuLD9irHkO954jrHYHOeA34dICERrTdRC2TdLuEEUa8hJ7cICkVgetSOIYx4DJ+hXGlEAjCC2XrPK4NHJfCtJ+k0hLJBrTEMgkTKsD+T5cS9PeIigG2BgyIjQyCDRyayQvbrSQbgbTdVhZqbL5g29T+emPplmlAJIEFUY4E6OE65u0Xzyd+oJnXazBCpnpcerfeYbWC6foHXuMH6wPUxopMXhkgKSXp+1p5pM7iH5mGu03Wf/CV9NS+8E9IATReo3Nv/gOVqWPzulLdE5fQIURzedOwvgg4sGD7+h+dRyHsfFxxsbH0VrTbrep1Wqsra1x6dIlMpkMlY8/TKVSoa+v73WfE68H3j/seDuOYsCPJdv8+nhPgnc+n39d8ZLrldBud9wqyFarVU6ePMng4CCHDx/eOdf3moUnvNKOWFlZ4d577yUMQ+bn53/o59doRsyY4/if/u8oBQ0mhgzyuyfQWtN4+jiLL18iqFm4SYhVKOC0N7F1hEYQxyoVJNkquQutEd02F0+tce19gySnr/Hyi5tw/ycY7jPY7XhMn/M4t9TCNnxcW9Ctd1E6w3BrHjvqIZqbLAwdJo+kv7OMUhIyDknPS7Wq+4pE1SbB8jpTOck5MUDdLJHTbUDQcvpwwh4jzTmE42C4GUY++QHEwiK99gaU92GIDMookyRgeS3QAttWadNeJTsCKFEQY2QchO9BouievoR0bPzMLrQQGIItFbW06W+FHqFbYHRkgKFrX2V1xSO4fBnXb5Nk8jgSsgULrSLiRitVRksSVBCSdKFXGWOoNU/L7cezC9gqodTbpGfnUSLN0hNpYqgYkwQSxUZlnE6mTKW7hkThqBDDNFBxh47Th1OtEuUzJM02tmlQeOBO6t98FsJXSuhu2GHfxilGOoskhRLZoI1xosbE3YepFASqJTFKBaRlEvRCLu16lMTNp5UXDLyxPqZWT5GrNQFIpJG24w2BkwRM1i4RCou5/gP09TbIhy10tkzc8yh46wxO7qI59SA6r9FhSKQlLafMePMaff4G83r/zqBA+t1IEidLIW6j/IDO8XPE9Wb6/fk+caNFlHWJNupbkwou9vAAcadL+/hZMCS66zOzkaGZvxv3TJ16JoMwZDrbXZnm2oJPX+sicbNN9vC+nTK7PdxP70KT1f/8pyTtHpld4xj5LCoIaZ6/gm420Z/6RDrS+A4ibnUIVzexsxmmp6fZtWsXcRzTaDSoVqtcuXIF3/cplUo7mXuhUNiptG3f+z+qeDvSqK7r3nR//L0a70nwdhzndQVB3g2m9Xa803W11szMzHD16lUOHjzIxMTEDaSM25UlXx+3At5BEHDixAniOObYsWNks1lWV1dv6zm+2pgkSTT1ZoRlCoqFNJM9f6nN15/cpNYIU9ESS3Lkjiw/udsEEbF5YBz17BnKnTpCaKxeg8DMMBBVWVWjhNJG6HR2N9kaGcqGHVZ6CX/y+YsU/Aa+2ofhZzHmQ6Z6c+xdf4l2OM56doKa7WIZWabaVzi0+CymimkJibIsSlEDN+gQJxKabUgSQOyAeOvF09j2BQ52S5wvHaFWnkRHMTm/ycG1l6l018HIkzu0j9Kj97H0r55FlAv0T/RhdgrktCKst1CBRBiQZAtsj23HwqBjl4kNC0eHuBgI0wAvHUfLqjoyiQmlhWOqdN46SQhyZSbHJMHsBt36HHEzIN/exFAxWiv84gCtniaf+OlsuAgxK6VUTtWLme87SGjYjHSWoJmgkbQzJWYGj7B34zRlv0om7CJ0G2OLeJZgph7bKh1d0oCJwkwiYmlCGGNo0KZJa6nK2W6ZjfEPIVXCcH2OxDCZGbqTdqYPqRWVpMGB7joDl1/AvPwcKu9iDfWTtLuEzTYXSkc4V7mH0aNTxEbC5vNn2RzYRU0WOTbzNeQWOU4CQiUoIbFCjwOrL7OeGyUWBjkR4MZttOFgTg7wV/7WQV4eGGHmSoOmO4LSHoONBe5cehapEmbKB9nMjVAKawgNPbufjPKZ7M6hBfjXFnaueS0E+GG6OTKNlJBWyCG2su9waQ2jmE/nv20THQRE7Tr26BBGPku0USNoG3iHC6jISwl/ryJ4aSHoXZ4lf9dBjHzKlpaOjTU5gr42j3dtkeyBXW/rftVJQvWJH1D/9jNE9SbSsckd2svw3/gU9lA/AwMDDAykI2Ge5+2w2Ofm5pBSUqlUyOVy6Sb6R2iM8nbsQLfP98c53pPg/WYf6qslUm9XGIZBGL6WVPNmEUURp0+fptVq8dBDD1EqlV7zmnerbP5O1tz2Cu/v7+fIkSM3VAduN3t9u2x+4XKHp16osVkNMQzB3t1Z7r2zxNef3KTbi9k1kZKrur2E42daFHIxhrpC3/1HmMz38ZX/11fxvRDLMumVBjFUwnBrgc3cMLGRQStFJgkY6KzQzvVhqJCNqkESh0zZHWQS0lnbYMkLKbYkD6x8i6ZZIhqZpG8oT07PENJFRxE5L2Fq7bskwkPbVlpWNs1UYCKMU6euno+RdTFMk+m1MwxuXqE9eRCjmKPcvITZXUdbBlpCVG9y4X/+vxNsVEnWa7inF3CnP8Fypo9cGCFMBy9fIRO0ySQeiWkRapPAcNLSbuClrGoShE6QQcRAvMhIc46l/v2UCiamVDQTl8odE0yc/DPqV5bxZAYfG1en4C67bbJhgNKgpUao1LM72TJOiaVFaNhIranmRm6YSzdVzEpxGjfqkkl8zOsY46WgiqVCAtMlG7ZRmJCEeNYg0/VLGCpB1Vvois3xkfezZI0gdUI2aJH1W+SiNnvXTxOYLuvFSdYKE0Slo7yv9lUkMSoMiTfrCNMkcXPMl/dhtWokzy7Tkgay0aJsOGwWx6jnh+nvrGKiCA0HM4nYFnw3dEJ/b52V8m7OjB/lA/EZ9v29n6H8wQdxd02wp9njxOZpZuovYawtMbA5i6kikIL7lr7P2ZEHabgDaGlQkT53RXP0B5skUYyQacaseh5gIxHIrIvqpaN+27NXyvPZGowAIBe20YYmMixYr6YtGTdH1POptJdw9o2gopje1fl0g1TIY/YVUd0eRi77GhEUbZmIKCbx/Ld9vzZ+8BLr//WrGPksmakxlB/Qev4UyguY/I1f3pnxBnBdl/HxccbHx1FK0Wq1dkrsWmuee+65HYe0N5otf7fi7WTeP25jYq8X70nwfrN4r2Te7Xab48eP7xh1vFEP/r1SNl9YWODChQuv6xX+boC3Uoprcz3+/OurhKGiUraJY8Xx0y0uXunS7SXsmXJ3CGy5rIFWPt96coX/4Ren2L17N16+j0njj3m2cphu/yQKialCRlavkQ1btJ0+BBo37FAtjNJ1SkTCJtIWiSzT8W0K1U3umDtLwathhR2EF1CWm8iVDhk9iLAtknyeSPokhk2SSExhICyNjtL5ZJnLkggPeumDMdqoETXbSMsiLxWF6mVsWSGWMaGUCCmRQqYGGEGUSoz5IS4+h+af5pk9P8m14gG0EJSjJnfMfZ98a53lwnRaQYg6xKZDaDhYSYTW4EuHrOohkoSjC9/DiX0u2Q/RyfZjF22ymw1W5ppMhDHCTkCmTHyBRmgNUYBxPXFSKZSXKqTJxKPU3WStOEnBq5EIA0PHBEYGKwko9zYIrCxCK8zkFVGYcneDowtPEUsTQyf0rDwL1n7yQZM9zQsIM7Xa3Ygy5DeXuCe6QJwtUGitI5KYjl0kG3XJhy3cOCXFbRQn2cyOMNaa3TmOFgmhtAgSmbqwmYKuMuhkh0iEgW/n6eX66O+upe9ZayLDxkgiJAqFwLfztAtDVMuTzKyvsG+Lu6CThM3//c/IPnWCvAiomnlWK3sYbM7hqJD+3jrvv/plmk4/uBn6CxojDIg9j0TBWmmazsgeVL1BX22eYatL0mwjHYfcXQfwZ5eIm6nYjo4TiCKMfD8DSYPhzhzL7ii2jhFdk6CnmVALTCUCYe8h3qzROXE+nbOWEplxKH/gQYQhibaFhLYiqTURxdyOCEo6rZDOn4s3KWXrJKHxvRcQloUzllY7pWMjbIvuxWv0Ls2QP7L/De/zcrlMuVymUqlw5swZdu3a9ZrZ8u0S+7ud7b5dR7G/zLx/yPFeAO9tedabETL5UZfNlVKcO3eO9fX1N/Q4vxXwDiPF7HyPbi+hXLKYGnd3LF1PnGnS6yl2T23P5RtkXYPTF9oYxivMc03KGei024yMDLJ79+60j9btMeAmPLr2XXy1i9B2CULN8f678EOFEccgBEv9++naRcwkwk4CvMSlJbJIHXLf7DO4fpOqO4BvZBjoraQZWZyOJkVeRNMdwC9mMYUC38PBwc1YCKXQfkhSa9ygDqaDEMKIxDYxsi5Jq40fhCg/gChGC0EchKmf9nURSZtrg3eiBYw2ZxFoQiPDXOUgo615zo8/yFpunKNLz5APW9iRR8GvEQmT2HDIxB49O4ehEjJ+C3oeQnpYYYPNIGJ14kN0zSx3rb6AFD7iuu9Ua0CkkqJoDZaJMIx0g6I1ezfPUM8N0XIroCE0HRJpMd64ght3MVVEdgu4r88gJ+uX6DglOk4ZN+ww2FnCjgNKYSN9jRQYXo+iWcXREe7GCk7YY668HyUNItMh1hZu2KHk12lnKmSiDoqUAyYA4gSrWcUdaNFxywRWhjVrgFgbJMJAC8nV0kHGNq8gkwhbhfhmhti0SaRJLE08O8twa55VdYRQmFS//gPydx8ErVl/6SLPF+9nfhh6Zge0ptS/yT2L36ff20BKQYUW9FqoZoQSkjjjcmLq/Sz1H0BnXUTBQIzdzz3WCoe7l8iMDqGTBHffNP7cEslmDa3Say7u9Egaq9zXuUL/0GEW+u8gCSMmOpfZs36SpYufIr5yBXt0CGt4gHB1M9WQl4Lcwd3kDu9j5Q/+BO/yHEZfAdXxSOotzIeOECytsfi7/5nu2SsI0yB7aC/9H3sfxUfued3nlPJDoloDs3gjectwM7AlAHMzsc30vn62vNfr7cyWX7t27YbZ8kqlclsdHLfP4WZItz+u0qivjvckeP+oyuZvBd5KKc6fP8/q6upNC5n8KDNv3/c5fvw4wJuat7xT/+2NasBfPLHG4oqPVmCYgr27stx/Z/pZra4H5HM37oQtS+I4kijSdLoxritZWlql0UyIVImx0VfEKoRh4EwMY2ZNpkSM5zV5YvRDLMkJbL+DkgZhAr50UQhsHdCnWixQxjBhoFelENRpOSVCwyUreluOVzGq55H4Ab6ykb1N8irBzxTRTibNesMedhSnLlnJ9XAFws2kJfUgIlFbGa5SsH1dar3j7HV9rJam2CiMM9hZwdDpNaGBjcIE83370KZDtTzFCTuD22tgJDEHV19kvDmDFQeEpkMsbVpWlstDR0mkxBcOHZlDZFL7z5emHiMXNNm7dhrJK+5ioLeIZ6kanUoEZhRu9fNhuL3I/XPf4erAnTSz/TixR393lcnGFfJhGydJqw4xcktgRmOpAKkV+aBJMWje+Ga3b+FE4xkZGrlBLFMyvHkFR3dxYp9OpozGB7E1TZIEjDTncKMeCkknUyYybJwtPsOezbM8s+sT9ESBjNcmlia+laXoN9jMjbBQ2MV043K61pZRitAJloowdTotMDX7Mrvr52guxFy4PIss5LkcD+DEz3G0uUEQQy0/wlzlACcn389ja99C9Ho4EyMk7S5RvQVJwmJpD4vDhykFNXK2whkdYqkOF5J9HLhziOm//kE2/vTreLNLWJUycauD7PRIegFs1FBhhO37TG5cZDCoYdkC0/dQOmH2/AbCrDN2/96UfHZkfzqPv7JB79IMw7/004xZJvXvPEuwvI49OggffoD24gpX/6//Gn92CaREWCb+4iretQXGgpC+Dz/8mmtSug72QAVvbukGOdOk6yFsC6tSfoO7/8Z49ZiWEIJcLkcul2NycnJntny7V3727FkKhcJOib1YLN4y2S2O45vSc+90Oj/2Y2LwHgVvYCd7e3X8qDJvz/M4ceIEWusdotfNrnu7M++b+QxqtRonTpxgaGiIQ4cOvWk56Z1k3kmi+dp3Nphb9JgYy2BbEs9POH+pg4oFeycVlT6Lav3VEooaN2Owe9JhabXH5madZscgjm0cJ+HytS7/7VvrfPxDg7h7p3CnxtEbG+Tfdw8vVEdZqPZBoLEyNkEisIRCJSFmHFNIukitMAyZzpSHHgkmoeli6SiVFkeDBoWk14qJVIJQCqEVRtIiDEOUVujQTwFYileAeBuQtEJkHHSnB1GM2V9GZjOEN5guvPba7TglYpECjqFinNhDAHbsUcsOU6kvYJQP0ZMuiZMe74Vdj2Ne+xp9vTXq2UHamTKBkaHj9LGZH8a3C0iVpO9bRQSmy5mxY4zXrpKP2ltnsmU2oRKUlGgNKklSvYTrzm+kvcBwe4HIcDCSaIeYtvPdIVDSRKJSkprWhNJJ7TlJXvl4AG3aqWOZUoROHt8tESQJeTOHLbvkgyaenSeWFlYSoISknelnsn4JtGKhcgDP2sqOtKa/t4aMQ6brF1kp7iKwXNyoy3jjGk7s08gNMjt4hKnGZYSUWCQYOp1F75l5IgwMFTO9cRZbRMhyHiWgd3kew+rhullEHJEPPNyogxIGG/lRep4iKwSq65O0uqkwiZQsl3YhdYwdB8S1BGnb5Lod2uVddO8+TO7wXrIH/i6tF8+w9B/+CyiN0VfCskySViedoy+W8bWD6zeQsUlSKqONPqSToVGNGBEydWXbVquzLVQYQZxQvP9OCvcd2RFBufrU88T/9WuIegtrsIKRz6HjmLjeJK43qX3zaYoP3/2auWshJeUPP4T3uS/iz69gDfShPJ9wZYPCA0fI7r85/+23GtN6vdnybeLb6dOnUUrR19e385p30pO+2TnvH0dp1NeL9yx4v1G8m+D9RgC2ubnJyZMnGR4efksgfL11f5iZt9aaubk5Ll++fNMmKO8EvFfWfRaWPEaHHWwrvWndjEGlz2JmocfogObo4SJXZ3usbwZU+tKe9+p6wNhwho++3+Zr35hhaSWPZZrsmswwPuKgEbxwvMFgv8ND95YZ/uufZO7iJS6/MM9lo4+yXCdyh8lW+pDzS7QTC4yUeV7oVVGlCm7WRClNyywSSxMn6iHQOGEPEaf907o7QJCvoMKYwMyQ9+sMdlexY5/AcAi1Sc+uYKqALO103ndrNEv7IYitTYmAzPQY0WaDG1RIXoXdSkjWCpNsFMZoZAeQWpEN2wy3F4ilRSbsMtG8xmBnmXamjyiTPlxEFPHS1Ic5tPYSbtTFTkISYVLND+PZRQwVYyc+Uisi6SBQxBhEZoYk6iJEKrqiEUgdI1EIJKaKd8rf118dArCT4DXft5IStZXLayGJTRupYmJhItHE0iYTe6itzyASBsKwiTDwnQI5W+N1YyIj5YZkog6T1YskhpW6nVkZCn6Nwc4y9ewQnpVL1eK2PJoDadF2+xlrzGLGIUiBmUQU/Aah6dB2K8S2iy7ncUeH8S5eI6tS9zFH9PDsPCYJmcRH5t1UOKbWQscxnptBKRNLCsKMTSZoUWkvspEdZqUwyUZxktjM0K+XmOrOkPNbJAkYVupnLjNO6hVuSdxdE5hjI+lnueVm1z1/lbiZlp+1ZWEU8gjfJ/ZiRBQjnK3vwfegUiA+cJDg+TW6VxYwRUouNIp5knqL0qP37pDVrhdBCa8toJsdNOz8TpgmwrJQXkC0WcOfXybp9NBhhDM5ijM+jBCC0rF7UUFI/ZtPE65tIm2L8oceYujnb37s7O0KZzmOw+joKKOjo2it6XQ6VKtV1tfXuXz5cjpbvgXkbzRb/up4O3Pef5l5/wji3Sybv3pdrTXXrl3j2rVrHDp0iImJibe97g+zbJ4kCWfPnqVarfLAAw/Q19f3Ov998+u9WQSBIoo0tn3jzeLYkmYCQag4tD9P+4MDPPtSg6UVH8MQTE1kObjHY+bqJe48so/NdsTkqINpvrJOpxtz8myLB+8pkZkYhnyW5oZDhGaQJr41QLMdI00XaRvEiYVLiDFQoUEBz0uIEvBzY6znxxhrzuJbWfJBg1iYaASZ2CMTNGjrDFESkw9atO0SDbcfJU3csEsxqOObWRItKIbNVKN7+yS3q0KmgdnfR+/qPOjUorJrF6llB9FCUvSrFP0m8/0H2MiPpyxoNIaKaGf68K0s5e4GBb/Oy1MfpBA0kDoiFkVAoKOIjcI4bafMUGcJU0UkIhVQMVSciowohRagBUilyMQ9TBXTcAfIxD6ZuLdzzhpBaGZw4166Ppqboe3E2kBLiUzSzU4iJJYGJwkIjAw9O48Te2zvWrbZ3i2ngBX2cNo+VpRuFWJpYicJtgoQykchycQeZW+TQDooIdMN19ZnnNlyDjNVTGjYmCTIWCF1gm9lcaMOiRSMBGuIvZP4estZDNIqgVbYQT19nwKIE8KNWqrWpsFA4xsOZtRBCUlgZjG0plkY4UTmg2lVRsWs5cdZ9vfy0OJ3GO4sstG3iyhKsM2IYGUN39N0N89waeM8Kvoodx4pUnvi+2nfWIj0+tE6JbAphYwTTEDJDIYQyG6HpDxAtX8XhcLL9F56AZRKuQlxjDMxQukDD75+71ophGlsvTa5QY5UxTFx12Pp9z5PXG+it+xGyx94gKGfSwG68tgxSo/cS7hRTUVlBvreFqHr7eiKvzqEEBQKBQqFwg2z5bVajatXr+J5HsViccdUZXu2/J2ew1+C948oflhl8yiKOHXqFJ1Oh4cffphisfgm//3m674bhLVXj7Vty8lKKTl27Ngb9rffaD29leHc7A070G9TyJs0mhH9fa8w7evNiFLJxM2kaz18Xx9H7iiwvhkihKK2eZl2q8nDDz/MpWsK9DpeoKiuBkSRIpc1kVLQ8xKSRLP2X7+Gf3md2vAkXVnE0YL++jyJWaFhFImkRUl6DASbzOgRQmGSoDANiZEoTk2+H8/KMVW/glRxqnktUstM7SnKqkVWpMph8337kSIFHt/KInVCaNi08mPcufby638QUULj289AokiEwaXBu8jE/haQQTMzwFJpL8vl3WTiLpONJuuFCUIzg0LgWXnuaL+ElfhoJF2ngBt2mJw/h6UjVt1RPOky2prDUBF9vXWyYZdmdhDPyqXrCINEmtixn/bShcRUEQ13gLZboejXsWM/bRkgSQyLTJzOESO3xGHegvNgkhAIE0MInLiH0IDWJIZJzylQCOo3ZvFJDElMlDGxwy5ur4ur0wqEZ+foUqAU1MlF3Rt680oatDNlSl4VueU6k0iTRm4AN+phxwGZqIdn5Ui2SuGJtCjGXXavn0UW+uDa8s56Qsp0WitR+NLBc/IkwkJaGifxyQYtKt01QrdITxaRSYyjerQyFWJpUop75IJWWrkQsJEd5Ur5IIcbp1ltTLGRG8MWilibhJZgev0CY+dPcKHV4dIjD3P3/BrKC9BKofwAbUgwTXQQItwM0fAuusLCcQwoFFDNFu6FkwzYPrmDe1NtgSDALORTI5jVdbjrwKu/HozJEWS5iKFI58z7SiAEyvMxLDO15LQtMnumEKZBXG1Q/dr3sEeH6Pvgg+ka2QzuO3T9up2S1aZpvuFs+fz8PEKInRJ7f3//Tp/7L8H7PRI/ip73Nshu+1nn83keffTRW2JFGoZBELy2DHkr8eoNQbVa5cSJE4yOjt4gJ3uzsf36m+0ZAZQKFvcfLfHkM1X8wCfrGnS6CYaE++/Ko6P1ndfmcyaGjHj55ZOYpsmxY8dwHIeB/h7dXsz8Ug+ltgXDNALB4x8cIKnWmXniRWqeQ75VpVCeoCryJOTwIxMtEpJE0gsiFuM8oSMARSI0kGCgUKa9I48pdMJU2GUzP0bF20AkCqkV2rTx7Rxu3MNOgrRUKwSxYZKN2hT9+tb4VHrdvWZ7s9UTXy+Mc3H0QSqdZcpeDYGmaxeY79tHYtj0e5u4YRu3dhHPzpMg6Thl+nrrtLKD5JMOuXaL9fwYIonZs34Ko89juL1INmzhRj2yYZuN3GiqdJaEDLaXSKRJYGZoO30khsVAZxkZR3SdAm2nTGC65MI2btghkUZapo+7REYGLSVu2MGO/Z33pbbepd7a6CAllo5Q0mAjP4YWAjfqIVXCRm6ERnaQuxefIkZi7fx3GgW/wUpxina2CELi2XkGW4soYRCH7Ru6C5o0y14vTLJRmGCgvYiSFl2nxHJhkrHmHAW/jqESTBURWlncoEVkOTyw/gwF3UWpPnS398o5KIUGelaOtlPGswtEho1AkQtaiCQmH7aZilfZiF1CbZIN2zSyg7h+C1d5JKU+tB9gxB451WWjfzeZ8AIPLnybpb79rJWm0HHCUHuBSbWBScj0zHOcHxins97AVgnCTCcTVBCk5ycEdrnA+LBFda5KtwG9mkdGB+xrXaLPiskdOXTDZtqbXaT1wmkqH3v/a+/hyRHcY3djPH+WuNkhWFqDRGFWimQP7SVptFLgNtJ73RroI262aT5zfAe8byXeDb+J7Xj1bHm73aZarbK8vMyFCxfI5XJUKhXCMLyp5KPb7b7u1M2PW7xnwfuNwjTN2w6G8ErZfFvve8+ePezZs+eWZwHfzbK51prZ2VmuXLnyjsv62+vB2wNvgPc/XKGQNzl+pkmrHTM96fLA0RJD/SGnT7+yudgmz21zBraPVyiYtDoxzVZEMW9i2xI/gDBU6CRm6YtP0DtxjnKc4PQ2Mb0Wz418iAWzHxlHWGFIIWygNDSyQ2jElh2lJNGQYINhYoqYamGCzNLTWElIIk3W8+MU/RpSxWzmR8nEPm7UId7qyZpxQCFo0nFK1HMFGvEQBb9GLmxhx95WSfbGaGQHSaSBkJJmdmDrwxU4IqYtsnimixu2MVVMwW/QsfJoIWi6g8SmA3Gy1XP22cyNcFC9yFhzhrnKHWzmxhhtzgJQChpMVy+yUpomMSzs2E+zz6DOZO0S+zZO8+y+n2S1OI0SEjfqMNqYYbQ5RzU/wlB7iaXibiIrkxpexAGT9cs4SSokooSZbmpIjUbUFnleIelmyjTd1BHNTCJKfi1logvBlkjcDZsbJ+pS9qtcGjzKRjGd1bcij4nmDPmwtTMS9kpopqoXOL37Q6yVd2FHHpFhYyYhpaBGIk1MFWGGEbmkS2I5VIINco1VlFZw6tLOZur6jUErUyEyUhtWJ06Z856Vx1AJli1wWlXGwwiFQCtFL1dJBXoCTRJGCNtGmgqlJWYUoJpt3Dhi/+Zp9m2cRgUh29RALSVaC0r1BSI/Jlspw7aAipRgmIAibveIzlwg4wVYsaK0Jb8qWsu0BvvIHdqdyq5uhZAGKnr9lqEGso8/ipsv0ukmdJY38cvDiMcfZ8+oifjGN3aAeztkNkNcv7lRsLeKWymbv52QUlIqlSiVSuzZs4coiqjX61SrVcIw5PTp0zf4lr/ebPlfZt4/oni3Mm9Ie9wXL17k3nvv3SnZ3Gq8W2XzJEk4efIkjUbjDdXd3s56wNs+T8MQ3He0xD13FoljjWWl8oiNRmOnajI/P8/Fixe54447mJqa2vnfRjPiP/2XRRrNCNOUNNoxji+ZGMtQKJj4L55g7cqzJMJAmYKOssjOXWYoKFIbfRAtJYZKyHerrBUnUVt94O2xo+veHYkwaTlFlJCYKEZbs6wUd7FenAClCAwHzy4y2polUuncs5X4dO0Cq4VJnCTASGI28uMkPZtM1CETdbFVeAOAS5WwPUa9/bgQjoMWkv7uCqGZpZGpkA3bRIbNZmGc0MwQujmk0qlhh9ZE0t5iShvYsYcd+3h2Hi0lobSRScQday+xq3aepfJemu4Ale4qk7XLDHQWeXrvp2lmB+jvLKNFWpqfGThCxynRswvYcUB/bw10alNqxAGR6aRMcp1gxiGJkBhaAXpnvCySFtmghdYa38riJAGgd+RNX81OBzBQlLvrHNAn8ew8AnCjLjk/9QePMQGd6qWTbhDy+OxzW3gb8zREnoLfZKJxhaH2Ir7hUi2M4ltZQsPBSEJcP9UkN7SCRO1sIrZDAYaKiYwEcd0jzyQhMh0alOhvr6byphoSw6LY3cDSEXV3gFLYwEp8YtPCd0vsqZ7EzmWIOwodxxDFN25AlMKob2CefJk4iombAUbGRm9tKoRj0ZMZFpxdrOfHMOKI0dYs4/VrGCohjDV6ZYPNly4y+NBhAHQck7Ta5D/+vte9F5MoJvr606w/dZHVmiZxh7C7PTpPvsD3D93D3T5ktlXfSJ91cb1F4e5Dr7vezUTS9eiev5qy08MecnzoHa/1TsOyLIaGhhgaGmJ9fZ3Dhw/j+z61Wo1r165hmuYNDPZisXhbvbw/+9nP8tnPfpbZ2VkAjhw5wj/9p/+Un/zJnwTScd3f+q3f4vOf/zxBEPCJT3yCz3zmM68r//124z0L3m+U8b4esexW43r70Ycffvi27srejcw7jmNqtRqlUmmnBH0rsf1Zv9NNhpQ3uoZtv+ezZ8+ytrb2GnEYrTVPfDcdM7NtSaVsEsWabi/BcSSlrEH28mnMXIbu8C7k3FVU4KXg0Wti+j3WSxMk0qJq9hFLK31Yv8E1o6UkkRZrhXGmaxfIJAFT9Uu0nT6k0HTNHC9Pf4RIWlS8DaROqGcqOCrCjXvILfBy4y6B6aDR5IMGCpGqvm0Bz1B7CSf2aDl9qbymEJCAijWHVl9EC4OrA3emgjIk7G9fZs0epGFVKHnVVEnNziMQDHaWUYaBoXQ6561SlrmpEwwVYYc+FW+T4VbKVu/ZBZQwWCntpZEdpK+7iqUTNGAlEbFhkxg2U/VLzA4cwlnt0u9tYqmQyLDp2gU2syNoaVD06wy2FmBLoUwjUAiyYQdTx1S6awRGhtB0WCrvo+ZUsLbmwLdB8/qxMUFaPr9n8SnQCo3Et3KYQYQQGiVMfGkTWlmkijGikDVd4H2tH2Csr73qWoW5vjvIhi0GOysIndDOVNCIHYvU12bzqQFKJurtyJxCSu7TCDKRT2JnEH6wdcYJ+W6Nw/NPcW7yUeqF4ZQVrhTD65eYXniBSG+1GV4nE94+9sD6FRwdoxOf2A/QUYzMZghKA7zY9zBrziBW4KGkZKW8m2p+jLsXf4ApNQkW7QuzZCxN1GiTNNtkpsZwRl8fIKPZJcIXzrGmygSDLjk31TOorC3i1Wos5SbJXZ3F6i8hbItoo4410Effhx563fXeKnqXZln5oy8RLKyitaIThmSO3kHyf9r1Q7UB3Y5tq+h8Ps/g4CCTk5MopXaIb/Pz8/zSL/0SpVKJVqvFPffcQxRFtywUMzExwW//9m+zf/9+tNb84R/+IT/90z/N8ePHOXLkCL/xG7/BV77yFb7whS9QKpX4tV/7NX72Z3+Wp5566pbf83sWvN8obpfv9nZsbGxw6tQpRkZGaLfbt80Wcztud6VgY2NjZ0f5wAMP3JY+07ahwO2qEERRRBzHNJtNjh07huu6N/x9bSNgZr7H1LiL7yf4viabNVAKNqshhDF3yB75gQKdao5uPaLP28RKInJhk3pukFhYoDSxYaGF3EKN1wFvnSAQjDWuMdJaeOU9oykGNZRh4YRdpqsXuDJ0lFnjMCAp9dbZv3EaESYkhoVvZcmEPSwV0HD7dpy0lDAwVfr9lr0NxhpXeXnqIztuXIaKGG9cIxO0Ge6uMFm/TNcuIoVGJglD+THOjj7EXHl/6jUtNP3tFbJBC0UqU2rHPhP1q4Smg5HEWDpCkmaUeou9rVLbq63jyh0pVAGYOiYXtkGAE4ckwkACoWETOjmQMmXnO3mu9R9GCEGls8b9C98h67eIDQtDJ0iVkAl7gMaJerQyffSsPI/MfZOE1OP7etBm5/wspI7JBWmJNjIsIkw0Es/MoqSJkgZKmiTSJhv1yKwuErY9brxyYLU4xWppioHOCr6dQ2iFFXnYiZ9OFGzNtl8fElKxl8SnEDRoZ8qp1KtO6Fp5rJ6HEgJLp2YmEtBasWvjHNmgQ7VvHFMlFP06w805rCRVz3srWSPXb2FPjKCrqZWssE10nDBf2MNmYYzBxgIiSuVvQzvHQv8dTDRnGPBWUbksKtH0Ls2C1jjjIwjDYPWP/hS0pnDvYdonztO7PIuQkvDcBYJOQNd0cLwO/lobnShU6FNevszMx3+Ro5UZOHcOFYYUHzxK/8feh7t36i3exWsj6Xqs/uc/JVhcJbN3CmmZdGbmCF88Q+1bzzD4Ux9522veamwTbq8v3W+bpmwnDt/85jf5yle+wr/8l/+S3/u93+Mzn/kMjz32GJ/4xCf41Kc+xfT0zc20Xx+f/vSnb/j5X/yLf8FnP/tZnn32WSYmJvj93/99/viP/5jHHnsMgM997nMcOnSIZ599lkceeeQW3vGPIXjfLjDUWnPlyhVmZ2c5cuQIY2NjLC4uviuCKrdjzevH1iYmJmg0GreVIHK79M2bzSanTp0C0irG6/XBPF8RhoqhfpvJcZeZuS61dZ8kUUSJ5MCePsbvnKB3ZYY4KdBwB2i6Azixhy8dAtPdESYRaOIticxXGq5iiz2tkVpR9Bp86MqfU/Kqr7xftl6eREgkB1dfotJdY6U0jRZpqT2WJtmoQ9UZJjBcslGXnl3AVAmx6Wz1hyV2mDqj+WaWam6UTNjBidKMXQmJb7qslnejtjL7hfJeFvr2o4Sk1Nuk2NvEt/NYSYCVBPh2jpMT7+OO5ReZbl5JR8G02CKVpZzxbeBOwUbjxD6xtHHDDoZO8LfGwbbB1LOyjDVnKXibZMM2QmuWS3tQcoupHnmMNWZACxrZAar5EU6OvY/DK8+TizokWmPrlGsSGg5CJRT8BvcuPolNnM5rJ+mmSG6dY/pNaAIzQy5sI7fEWAwVkdnKwG0VolQqc7tthhJJk/7WcqoF/qroOsWt708TGa9UnJQw0rbJG0QuaNHNlLY+M4PEcGhkKxTDWtomkBaxYW+1PnRacdCSTNhm1/p5ilEz9ZF/g/Wvm/Df+VlqheXahEKk5XVASMGKM0Imk5b5002Xxkk8mqJMLTvIYGcJs9cBy0KbNkYxj1nMpVrpc0tsfOnrNJ8/Sef4uVR3QEM4v4D2NEm2j7DTwjRFaj/q+3i1FnHHp/LLH6f8tz6+UwF4jWPZTU6b9C5ew19YIbNnase0RORcZBDRevY4Az/xgXdsS/pO42YsSaempvjVX/1V/uN//I/863/9r5mcnOSJJ57gi1/8Iu12m3/8j//xLZ/DF77wBbrdLseOHeOll14iiiIef/zxndccPHiQqakpnnnmmf/jgve7WTYPw5BTp07R6/V45JFHdvof75agyq2uGccxp06dot1u8/DDD+/0dG5n3A7wXllZ4cyZM0xNTTEzM/OGBJZK2SKXNWi2I4bzilZtjs16iK8z5EXAkYVzjH/sPuZm57E2V7CTLK6IyUVNXp78EEYSk/frRGYq6pJVMZ7pEhqZlOCz3XTWGi0NDq6+RMmrERgZslHqpHV9eddEkQAlb5M+bwNDxfScIk/u+yuMtubI+w0MnbCWH2eucoCHZr9JK1MhNB0G2q+MJa0VJ2m4/bhRF3Or5AyCplthrTBFwavxzNDHqBbHsWIfKwlYKO/FIiHv18lFqchGLmhSzY2x2H8AoROycS8VQjFs0IrB9nI682xmUnZ8kmAToUxJJuox0F5mtThNEjYwVUTPLmInIbuq51ko78ONegSmS2Cm5U2FRJmpKEwubFLND+OGHdaLE0zXLpIPW5hJtANQSpip9aeOEVEPbZhEpoNUCqGTVLhFaIRKe8FWEu6YnRg6vXcTDHzbJRP7KGmgEQix1ZuWFoaK6FiFnXaAHXsU/EYqm+qkIGwnAfmgCYZmPT/GcOuNPeltHWF4tXRjkhvCMmDI6FJpr6FFut2IDRthaIwkRmy1HOwkxFIRKkmQ+rUz8dcT9F7zxNIaf2YxndU2zZQHYkhkEqKNVOBFaI1WpP1wrdPjCkHgFsgUMphDBSTQu7aAUcjjjA3RfvkcvStz5A7vx8iltYlG6CNPXSbfm6eRGybvgBmlTn6r5d1UanOUc3chLQvsG0vF3twSje8+R/f8VYxcltKxeyl/4IFUTe51IvH8tJJgvnJ/a62RGYek56PCGONHBN5vRZrTWtPtdimVStxzzz3cc889twzap0+f5tixY/i+Tz6f50tf+hKHDx/mxIkT2LZNuVy+4fXDw8Osrq7e0jHhPQzebxS3WjZvNpscP358p198fc/j3ein32rm3el0OH78OJlMhmPHjmHbNlEUvSecyrZDa82lS5dYWFjgnnvuoVAoMDMz84Y7+VLR4t67SnzvmSrzpy6RrG0g3TIFM2GvN0/rm+e4VLCY+qW/SvDP/ozc5ibasFgev4tWYRgzibGTgEzi70iMJNLEUiFWzyMyXbQ0MJMQN+ww2riG1AlOErwmQ9JAKKwtUBE03AGETNdbLu/h2sCd5IMGGkkj208m7OJbeQLLRQA9K0/LraA1XB44ynpxMq0IaI0btil5NcwkomflaWcqrJR3099dSbPOJCATdtksTmAlQTqaJU3QmmzQIBu20YZFJFxiabKZH8MzczhxQNGrEphuOjKmYvRW9p1Ik+nqefJBg/XCBLG0Gegsp4xoYXBx5H52bZ7FTMKtHJlUQATw7Dy13AirpV0oBAJouBUKQR1sMLQi5zcwVLQjPSq1wpcmkWFhygA7CTF0cgNpz9n6njSSWJoE0knH+ISJZ2ZfybpJs/pIWmgpWS5NY6lXyGCqJJjpP0TXLtLKVLCSADfqkffrOJk+7l78wWuvTV7JigUaKw7YXz2H5RjIUhFVLJMoiQ6ClLUvDLhOusZUUUrYe5M5+FhINDLdzFz/BykhTJX49BYhUQOj1St0zTz9qoUTtemZORayo1g6oRzUmBu7m8V9jxCGCTkdMN24zPjaHOrpl7EnRkjqTTLT4zvADSCG+jCKOSrVKoaEsGsQSYPN/n2Yk2McDS7//9j7z6DLzuu+F/w9O5+c3hw6ZzQyQBIQKVIUSVHBvrJoW7c8txxGMzWqkjhlyfPF+uaaD7Y/qTw1tKemrq4842tdX1s2JVuSRUlMYgBIEOjc6JzeHE4OOz/PfHj2Od0NNIAG0KBADVcVqhtvn3fvfXZaz1rrH7S8a6N637H7t1ZZ/de/R7SxjVWvEHd6+P/uDwhWNpj/B3/rgY5k7sIsZiFH2u1jVXUnREqJ7PTInTjyJrvSH0aM1dUeqnPwiOVRjx49yunTp+l2u/z+7/8+/+Af/AO++c1vPrLtv1X8yCXv91odK6VYWVnh8uXLHDp0iH379r3pQn+QyPD3EltbW5w7d47l5WWOHDkyOd5HbeH5frY5FrMZDod87GMfo1gsTgRk3op61usn5DyDvAy41QmxclWqbsqyscuSGxGEVVa+eQbvpz/Nymf+HpuXbzNUeXy7yNTmFWy7SmjnsRPdxk0NExAc3DrLcyvfIDFturkGbuxjyQRDJVpLXI7uO45x2zlxcqg0xk4C+m6Zur/DtdmTJIZDKWiTmrZ2mvJbDJwisWEzPdjGUJJ+rkZsOnTy09xuHNVKY7EWaIlzDU1tSiMagw0Cy2O6v6Z52EoyckoIqWfJseliqVRXoCjqwx3m+3fwrZyeeSYh+5uX6DsVQjtPEvawZUQ7P4OlYtx4hKlSOrkGkZXj8fWXeZzvkZgWXuwjULy6/ElSYdIqzDHbX8VNRpnrloMb+4RWjrXqfm2zaedRGFxY+Bgjp8yezlWUEozsAtP9NcQ9bHAjiSlEASZ3j9/Izq/I0rYaS8RISWqYGDIltDzahTlyyQg7jZDCYOCUSTGJ3ALFjFYngESYnF/8GCO3zL7m6+yUFgmtHD2vhlCSp1f+EhP5pra2ume5JlD03QrdyiK1ukPFTjT3vL5IurqO6GxgqJRYWBikmGOEfTzijaFAL6gKC5nBCnjxiJn+Cl4mL6ukvF+Rz9CLlOWti5SjLrLaIBUGudEWRQLMjzyPPPoLXOqUsaolrJ0tdnuSrdzjnGiknExuEK1uIsNIj3YGI4Rj485NoQyJWa9Qdl0qy4u00hx+oUZjpsbs4CY518B4AJCs/bWXiTa2yZ84NHm/JN0+3ZdPU/34s7SLc5y52GdzO6JStjh5tMjhAwuUP/oU7a+9pA1Xch7y1jrmzBT1z7z4V2K1+W6oao8SbQ7gOA6HDh0C4Nlnn+WVV17hX/2rf8Uv//IvE0URnU7nvup7a2uLubm5973fD23yfqsbYFx5vxs1sDHyeXd3l2eeeYZGo/HAz30QbfP3siC4dx7/+OOPv+lCf1iS97grkM/n7+tijK/Lg0R2tndDvvwnm6xvBgybuuVruTb7xDYLhgY09UqzXAnrnPmTLVqdlEiZ7CmO6Jku8+kWO36XjfJepK1XzwrIBx2eWP8u9dEWu4X5rLWsqyYnGmGr+xXpxrreiWFroxKlEIbJ1GCdUtjDtwsZgAyE0ufFkCnHt16j5u9QDrTcZjHqEpkul2afIXAKGjntFDCknkrHpsNMf5Wl9jWKUQ/Vu4OdhlgyJjYcBnaJbmGGbq6OM9Bc4VQY1IIdJIKBV6Pq72pTEISmmVkOlkoI8TCQ2XzeoZmrU4z7XKvsIRUmbjrCkhFj8lRsuThpwEZ1H+WgxXL7OiBJDYvYcLnROEHbm8IQutUdmw79XJ2RU6BZmKPstwiNHFvlPSx1b0zOpSd1stKQOZCYKJhQx/S5vvusOklIYHpslZYYelXWrDzVQOMRcvGIjco+WoVZPnrzz3FkqLseuQZ9r0ZqWBSiPoXWZXy7QGBpJbzZ/uoD71EDRYpgNz9Ls7zIldln8As1HBOmrBH1vVMETpHHrS9jXm4ySgzMNGZkFZCGRTHsYNzjADeOSFisVw7gpBFO4jN2btstLlAOWpTD7v1VuFKTboSVxjT669gvnmQw1Iu3ot9i/rjBHw2exHjtJo3RNkncxxm26bsVbpQPc7CzQcGMSYc+4co60eYOpJKBY5OW84jleYpPHydpdTlwqI5wHdLeNmG7SeUXP4uZ95BhRNLpYRbyGHmP4evXserV+96lVqVEuLbF7Vdv8Wd9Qa+fUsgbbO6EXLs54lMv1nj+f/x5nLkpet95jWTkI47spfGLn6Nw4tADr8MHHQ+bvKMoIo7jR5q83xhSSsIw5Nlnn8W2bb761a/yhS98AYDLly9z584dXnjhhfe9nw9t8n6rGF+gNE0f2rv19OnTmKb5traY421/EMn73WzzjZXsg26yD0r45d3Ygu7s7HDmzJk3dQXG24I3U8+UUnzn+y3WNgP2LOVo2ynJ+SFBVOC6N82UGhJicTFp4LsFFpIezs4Kt3cTupsJy+1v0XPrPLn9LZy5kN3CHEoY5KMeh7fO6CoZQSHs6qQtY0Q2R0yBex/tbHmBlYZsF+a5M3Vc85Vlyv7di5SCFkJJDc5Cv7hLfpv9u5cYOBVSw6YQdclFAxSC7fIyoeHiZtSyxLBJDROJyXznJvXRFoWoz1rlIH2vRiHs4iY+buJzYOccN6dP0i5Mo4Q+/upol6FTzCpjGycNkYaJmaRs5WeY663gyBBiXd0Gdj4Dhg0wlCA1TQLlkZg2qaFFV4p+W3cg4hEX55+nnZ+h4u/iWzmaxQWahRm8JKQYtLDTkGZ+FoEgsgv0cg16uQZDu4gSBtODtYzn/Yb7CI1iD22PfNRHCgslDKw0xlS6hZwKwYWlF7g4/zxuoulZnbDD8Y0fkI+HtPMztPMzrNf2Uwr03H63tMDAreCkEdpkRVKI+pgyIbRyGrAIet6uxhYq6AWQVeLi4kepD3c4sfEKOwee5nL1Me6YZXK+yUePlTn61M+x+/9qMlod0kLmKTQAAQAASURBVCTPoFBnqr+ONdJa9G8ct+yUl7mw8FGObJ2iFHYRShFaOS7PPsHUYIMn119+07m5N5mrMCL+2lfJVcqYlknqB9z6f66z89w/JDdsEXTbqDhGJSl52aVdWyKeP4lx6wJGIaeFY4TmjKswgmaEmJth4f/4t2n+0TcYXb8NSYqR86h+4nnqn/s47W98j9bXXiJudjBzHuWPPoHhWERbu8S7bZJ2FzOfw1mYRim4eCtimEvZt+xOnu+dZsT3T/U4caTI1Od/ksZnfwKVpDRfe5X8kQNv/9L4AONhBaaGwyHAI6MD/9N/+k/52Z/9Wfbs2UO/3+f3fu/3+MY3vsFXvvIVKpUKv/Irv8Jv/uZvUq/XKZfLfPGLX+SFF15432A1+GuevLe3tzl79iyLi4scPXr0HdHZH6QD2MN0Cvr9PqdOnaJQKLxpHv/G4/yrqryVUty8eZPr169PUPoP2ha8OXkPRyk3bmuq0bmLPXw/pVc9gNfeIgG6QtELYoamy3zdgls3kJ0RTgh9r05iOpgyQWHw1Mo3GTllUmGSj/oUwi6WSnFUgh33UWjRFoXAyF6+MRYIMpS6bmluVfZyZs8n8a08ptS0sPNLL3Bk81Vqo212C/MgQChFxW/iJD4IGLhlhk6RQtTDTGNi080myIJcNMBOIwIrR+AUMdMoe8FL6v4W3dwUvlNk4JSpjnaw0oDnbv45nfwMieWSD7uU/BaB6WGqRH8PIbCTkMS02CjvozHYZGq4ydAtM7JLhHYOL/bxnSIlf5eRU8EvFigGHWwZE5o57DSiGHT1qMCwWKseYKV+mOpgGycNKYc9ZnorVMI2fbdKKz+n297qbiIM7Lzm1+dnmeuvjKfmk4gNm75X1ch4hdaHt2ykZWAnClOlXJ95nEtzz6IQzHeuE5ke7eIc5xc/Rm2wyWzvNpZK2Ckt4Tt68ZoICyVMDJnck5jRhi39VQpRH4mh7Uyzz6TCIsl4+PualycV9N7L32KqeoVLT/w8XW+B3VbC6940Dd+n2l2nnEpUW3P4zQdU3QBdr05o59ms7GMnTUBAZHn0vAamlG9aLL4xBIAfIpM2UilUKkntgGRrGxnG5ON4ohSXGBZGHGKORnRTh15cYGv6EKsLj7Onf4Pj7fNgpIhynqTTZ8//7VcYXblJOhjhzDTw9i/R+ctX2Pxf/xBhW1j1CnLos/tfv47h2gzOXkaYAiOfJ2p1GF29iX3oAGvuPLWqdd97q1GzubMWsLUTUSpaCDMzQ3kDTeuHHQ9beQ8GGrD6qGbe29vb/P2///fZ2NigUqnwxBNP8JWvfIXPfvazAPz2b/82hmHwhS984T6RlkcRH9rk/VaJzjAMDMN4W+N1KSXXrl3j9u3bnDx5kvn5+Yfa5wcFWBsf09vdXGOk9r59+zh06NDbJvr3YiTyTvEwyTtNU86fP0+73X5bVbc3ts1lkuBfX6HX9mnupKysB4ggwIp8HGHSLUwjopDdrSE7pUXEwiyN6oh4PaXng6lSXBUR5ytU+5us1I+w3LqCIVOE0InYzKrPXDyYzFpBG2cgNfDIQJEaNqFhAYLQsPn2gV9gq7IXJYQGtWWKZu3CDB+5+Wd898DPMfCqALjJiGLYYeSUkUDkFOl7Ncp+EysN8Z0i2jEs1dQlwyIX9dnbuoyTBEhhUBvtUBk1aRbniAwHJQQmgt3iPPl4QC4Z0ncqyOICtaCJlc2xA9PDlAnN/CL5qIcgJTYdbeAhU3KZwcfAKTM13MS389hJQGy6+LZuAbuJz97mRa7OPE0nr8U+pvprHNk+Q9+tcrtRmBiqOPEIaeiKOR8PCC2PjfJeurlpcnGf7+3/HMe3XuXw1pn7lNWEUhTCLmkGTrNkgiVjjegWBokQXJ96AlPG7O1cxkRipSPs3h3ahVkO7F5kT/c6l2ee4tLss2yWljPKncls7zYg2CkuYKcRkelSCHsc3j6VQcwUVhoRZyh6Kw1xVUxi2PS9GpHpZpRCyXR3i8bFl+ge+STeVJ3dr75M4cYqpKlWzVPqTTP0e8FvTgYwjEwHe4xFUfq656I+I6tILhlivR0bXAFhrFHmQmAZMVO9O1zPHcKWA2xLkCiDjjfFbPcO0cYNWhRJMFmt7GfbbrBVn6ZjlXl6eIqyYSFH2nDGcB2EaeLMTqGSlPbXX0ZYFt7YeKRUBMem9/IZDM8B00TFmlEgch6m62AYgjS9//jTVGGaAtMUb/j5O9txpkOf7kunGJx+HaUUpaeOUf7Y01ilwtv+3sPEu7EDLRQKj4xm+zu/8ztv+++e5/GlL32JL33pS49kf/fGhzZ5v128XYUchiFnzpwhDENeeOGFd9Ue+SAq2ns7BQ9K3lJKrl69ysrKCk8++SQzM+8sMfhetcjfaZtv99193+fUqVOYpvlQqm7j7Q1vrXHu//EfaZ2/SRzGbNU+y8Ao0zBGGJaJSAKILALh8dLiJ4kNDzMwyW/3sQKXYZIghCAUNvgjZrornDn2t+l6NZY617HShMSwUJikGWrZlglOPMJWMUJqnrEZJdxFEQtCw+HVfT/NRnW/FiFJY6Rho0xIMbg29QRPrL7ET177Q9YrB0hMi4X2TXLJiK7XwHe1ZadQKWYmqZoIk1w8pJer61k6inw0ILSLE2tKAYSGSSHsUZIp7fx0xoXOk5raE9vM5tBKwUx/lZq/Q2DlGdkFZnt3eGLtO5hILk0/xfRgjUrQJDZdQsuj7O+yXtnPfG8l+7mjFdjsApHpcWXuWRLTYb5zg8AuEDhFVqsHeebO1zGUpFWcoycMBHrfUhg0C/O08tMM3Ap2GuFFAxCwUj3E3uYlclnCB7TmuUyQpsvILmInEVYaITKltqFdwncKVPwW99azlkp0FW/oWn7/znm8eEQ3V2folDHTmAPNi7pjUNlH4JYp+02W29eoBC0U6IWZnce38ggFrmGRiweEdp7AziOUthEVKALLxQsGiJ0tkq2zVK/9Bb7wGOX1AqwQdjUNLzu+u/Iz+s/p3gpeNKRVmKcxWMdUkp5XxZIRS+3rbJWXtWta2KdXaIBUuIlPxd+9K6mr5D1qNgqimGM3vou/ZLJdWkKathbtGW7y+NrLjNw8Ud6kWVkkdgs0ZI8RLqvOAkXTZ8YaIcOI2//y/01wew0lJc5Mg+onniPabWPV7ndGNDyXpNun9PQJ7KkqaW+IME2sRpVodYODbpdXOjkKeRPbMpBSsbETMTvlsDh///P/TsYkqR+w/jv/id4Pzmnvc2Bw7jL9s5dZ+tW/dx9y/r3Eu6m8H6R3/qMYf62Sd6fT4dSpU9RqNZ555pl3rZb2QbXNgQduN4oizpw5QxAEE6T2wx7neJs/jOTdbrc5deoUMzMznDhx4qFWrUII4sGIV//v/192z90gqM4SFz3MQRfHgn6xiGNa9AIJMiKf9AhEkUQYJLHisqxiiBLUUtwk0CCgUROSmAiHS7PPcG3qMSwpeWLtO8z17uhWdK6mzSbSmJn+CgpFbLjk4iEKoStwlbJW3U+7MKPTudKJVSlFYjkYMmHoVVmpHiC2clSCJqZM6XtV0A15qv4uVhpjyZhmYU5zk1VKKixi00EndkloeXz34M9R9neZH6wiYWKsoYTASXwGuTpOGpJYLlIIhEyxVcJOaZGRXSB0NLJ+ur/B9HA1S4SQiwe8uuenWOzcoBR0UIagmZulGHWRhkHfreIkIXYaUUsCfrD3p9gtzrPcvsbIKWIiyUV9OoUZWoU5PnrjT2mVFhi65Wx/Kwy8KhfmPsKd6iEtsWo4bFXyWGnIvu3zeqY9vubcdQhXZDQyp4CTWkSmy05hjo3yXkpBh6Fb0RztrGoPrRxWGlEMu0SGjakU873bEzOWxLBIhYkjDI5tvIYrQ6x7Kv6BU8F3ipMuhABCK69Fcuw8ThwQ2Z6unicIf5tC0KW+c4k0iOi5FQwlCa0cHa/BfO8WXuJrG1nDZqxmZ6AwlOLx9e9yee452oVZQFEM+xzYOUspaLJZ2YsBrNYOMvRqdL0aselyfOs1Dm++llX3b35ucuGAj934CrvFeUZeBU9FTPmbRKbFmYXn2Zw5SHnYwvH7EEDRctguLXFVHOGje/s0//y7RGsbOItzOI0q8XaTnT/4C1CK1BBYlbsYGhVEmmtumThTdZjSSmQy0tK+Tz1ZZXc1x511rYGvFEzVbT7zkw0c+/53wDsVEoPTr9N/7Tze/qWJfKoMI4ZnLtH7wbn3LNM6jod9Fz5qmthfZfxIJm/Lsu5rbyuluHPnDleuXOHw4cPs3bv3Pa2sPoi2uRDigYmx1+vx2muvTfjm72ah8V6NRN5pmw/a3srKCpcuXXqTscjDbG/9+5dpXbyFnFukVPRIk5TKsI9IYgwxQHozhKGPFYcIJBEFTGPsYKXVy4RpEqEwZUzF3+X61GPElkc5aE/m2bHpYsuYnuFQ9NtYKiE2HIZumUSYeMlognY2VIpQKT2vrqvmTOVKCiOjPwliy8NKQ07t+SStzH4TJL5TxkoC9jcvs795ARefO7XDrFcO4CU+viwTWw5OEuKkAV7iY8iEvldnq7SX+YFGRMfCxncKGBkX/NbUY9RHW+SjHoZMsWTCdmmJm41jE9ew2HS4Mf0Exzde4UDzPBKDem8DZyrklb0/re1UhcF89xZ7b11hvbKXyMpTCZpYaaydyooLhKZLz6tTiPooMsU0y2WzspfY0BKiO8UFSmGHfNynPtwisAukWXfCltFEgc4mZWQXyMX9STUp0OfTSSNCw2KrtIShJLl4yMCtslI/wpNr32WlfoROfopC1CcxbAK7wN7mJWqjbUZmAVOFGGmc4RZ0mzoVFmvV/RT8DqdnnmCtcQhTSeY6d5jqr1KMe8R2YSIRq1vYAyIzRzloMaCqVdSUXhy1CrPM9FdpDLdwUx9bRgilyMd9ItPTErz4GiEuNdjOztD7hpEy3V+nOvrvbFb2YcmE8qhJIe4ztIsstq8RWx610Q610Q4zpsda9QCr5X0sta5QiAZv/ewoyUx/Dfpr2UkVpG6BUWMR6VUwox5GbKKShBiD2HZJqi5Jf43Ot76P6XmEW03sapnC40eINnexqmWSdhfDdbBqFdKhT7SxTfH4IaQfIqMYw7FRUhLeXsdbmmfmqYP8nWccbtwe0e7E5HMmB/flKZfuf1eNMT1vt6gfXdUjj3t1zw3XActk9Pr1H1ry/nHl/UOItzu591bISZJw4cIFWq0Wzz33HLVa7T3v0zRN4jh+z7//dtu9t/JeW1vj4sWL79l29FFrkcObk7eUkkuXLrGxsfEmY5GH3d7OnQ5JLHELuk1mGoLlYJUL+WO4QZ+ycvAjjRbWs2pjrNWhmcKG9nSPTZdWYY7LM08xyNVACC0yYpgIYL2yl+nBGo3hFiipX6RBi3Z+lqFT5OD2eQIrT2rqKtGSqU7Y6DZ3amhE9Fhi05ERThywU1pmPDdXGJp/PdjksY3vUR9tY8qEctDBkJLr04+hDIEpJY3R5j3CINpetO5rg43d4gJnFl+km5vCkjGN/gZuMuTq9OPM9Ndx0pDAdLVQijCpDzaRhkVkeYycIldnnqTRX2PoVfGdAjP9VVLDJLJygGK+e0vzrQ0LUyW08rNIw6QYtLUjWNlku7iAl/q4cUA+7BJYBVYr+7k2/URmBaoFWl6ff57H1l6mm59GqHSiGCeUQoiU2PS0Ktm91x0m4jm3SkcZuRV9rYRgsXeLjtegNtpiarjBrcZxurkGpkw4svkqR7bPAOAozfm2VIqhkqyS1wj616efZqu2n05hRi+4lGKlephi0OaFm39GfbSlsQQYeMmIyPLYKc4zNdpksXMdhSA2HVr5GULLw0uGuEmotc6lbo6nGHjpcNLhGHcTxqWygQQZk9h5CvGQ6cEGqWEhBMSmSy4ZkRg2rcI8yhDYaYStYha7t7g8+zSp5UB8V5jmHUMp3HDAgVyP1/wygZkjX/NIhcEw9ZiOdtnDCP9738cIQ8x6GdswiZsdBqdfx11ewJmqUfnIE3RfPs3o8k0Mz6X07Ekan/8EO1/+c0aXb2ghGcCZbTDzyz+HmfMwgRNH3r4jOH5vvF3yNGwTpR7wvpIK8RZKbu8mHjZ5/3WxA4UPcfIGnaQeRF8aV8jD4ZBTp05h2zYvvvji+3bXMk2TIAje1zYeFGNql5SSy5cvs76+zlNPPcX09PT72uYHlbyjKOLUqVMkScKLL774JmORhwsBtaqWKw0D8HJgGCy7Q8LmOe5MP0bbKBJZAY3BBpZKWKsdQk56sHf1yZUQDJ0KN6ZPMte9g6FSLdIiYxTQyzV4bc+nOL7xCnublxECOrlpbkw9puU+C7NI06bt1cknQ0ypSAyHxHQ05zoNJ4nbFBIvHmKphNSwJ3KeSggKQYdPX/sD7apl5UiFSTlo8vjGS7QLUwzcCtK0iYWNNHWbVaPFDQpRj06uwat7PsXQKeMkAUpoNynfzmsBEa+OQBEZLoNclbnubTYrezGlBtIZMmWrsofvH/gcR7ZO0/UaFKOunp9nph9GphkeGzZRBtwyZUIuHmHKmNhySQybIXc1wu1Yg5wS06Pqb088z3tejVPLP5k5q6WTNrQ+IZLt4vykRf3mUETZnFkJg5FTJhcPqYRtTCmZGqwz01slNF0cGWHJhFQY+GaOXBowsEuZwE2cIcdNtouLbNQP0ss1MGSKm45ITAcF9HN1Xlv+SX7q8u9TyMxJYtNltXaI6e4dTKmreEOmJKbLRnUf04N1Gv0NvGSEkaZY2bXWJqVM6Gf33tNjIKTEJDZdvHhExd/V1rXC1AYuKmGnuERi2XgyRNg2MlEU4y5z6Q5xYxbRHKFGb/OuudfhxRAgBEfXf0CrqFhVNfwQhJCU421OBleoJyOqM1MEqdTyqkmMNEFs7hAmKd5HH2f27/0Nap9+gWi7iVUq4O1bRBgG3v91gcHZS0RbTcxinuKTx3CmH36x/jC64oWTR2h97WXiZgc7U3lLOj2EaVB8/OhD7+utQkr50NThQuH9A+Q+DPGhTt5vFZZl0W63uXTpEktLSxw5cuSRoAc/KK9w0zQJw5BXXnmFJEl44YUX3vfc5VEf6zh5j9v51WqVZ5999l3jBtJUcfZij798xSKKy2wvf55qe535KGDa6FOUKYeGNzhUjbCiGS5vtolixek9n7zPWEJrSxuMZ8dKCCLLw5QhxaBDJz+jjR+klvlsFea4UztCbDhElsfQKTPI1XDaPiOvgpOGGbBK4Dt53DRgrnOLzdo+vCTAd0oYSPJBn4X2dbr56Unr1cjENQ7sXqQ6ahIZLpHl6XavylMJWhzZPE3eb3N1/nl6uYY2BVGSkVUkFRZSCdZrhxg4FSr+LtKwEErixkPWq89THjVxREhkuVhJQGR6GVWqgJMEGq2OwcgpslHZz3L7GrfrRynEfVqFWT3XHu1gJgFr5b2Uwi7DjG9ejPr4doHV6oHJmNVUusqUQhPplGHiRX28DHxmpJJC2GOQOXDFhns3cQMIAycJJxrgEuOe2lQxcsrEpoOhpEZmK20SM3ArRKbDyC2RjwYUEo1FiAyHkVPAAHK+TyHuaaqX6RAZWpRmt7hAmo1B7DTCkjEyMRi6FaRMGXplXj7wMyy3dYW9U1pgarjJgfYlpDBp5mcZFKfJRwNOrn+P2HBoDDcn6m6Tey3rPCgEKWZGNcyYE1kCj0wnk1LNZFdVApk8qkRT5oTSC0/QcrtGmmAP+5iug1kqkoQx3PsMZycwNmx2q8vEwqbkt6gGTQRgbm/w8e5X2arto22UMSOfhd5tCkZE5BQIDp7gmj/FIFCUHcmS3cJs30baJqslm7Vvf1u7bM3UaTQaE+lTs5Cj8sLT7+o5vzfGi/636yAWHjtM/XMfp/UX3yXa2tX3mOdQ++kXKT117D3vexxpmj5U8fbj5P1XGFJKhsMhvu/zxBNPPBKZuXF8UMlbKcWFCxeYmpriscceeyS2ox9E5d3v97l9+/ab2vnaK1dLNb9Ti/8vX27yrZdbrG4a+GHEoLDAuqpxe9SmOtxlSRo0/ubP8Ut/ex9Gq8n5/7LNd3cbGc3qbozb1PeqcxkoymGXQtTHTkM6+Rl8u4CdhOTiIZGdY6e0NEEX5+IhQkp8K4+dRriJjzJMzDhFIpjprRBbDnujHlLpl3IpbFMKu7yyR1v4CcSkdVv1dwBFaOep+E18u5A5WymWOtcZOGX2Ni9xa+o4gZWfHHlltIMUgq7XwFR3zTpAaYMT02XgaclXg5TUraCEoO9VsZNAV6VZ69yLhjhpyKXZZ9ioHaAQ9iiGbWLT1VrmGFybfYJDOxdY6N7ETUOahRluTD2uW9gypRh2sxl2gpWG9Ny6Fm9Jg0mrX2Q4g1QJAqdIajr3WGfpRFb1m0hhkggLhG6nS6ET3sgpUQq0/aZEUA7bRKbLSv0oS51r5KMBKSZDW8/+bRnjpBGBXUAiMFEYKsFKEhx8lDAphF0K8YCRUdK+3zLFIMWNfSLToTJqUhtus17ZjwCWWlc4vvEDTJViqZTZwQqzg1VSDG39nrnSCUSm1S6yu0zP7lEShAET2Vo9NkiFxdCpaBqiEISGHlk4aYCZnb98MqQvI6wkQAr9vMfCouvWcHcvYRQszFqZuD0gTeXEDa9XaEzGKlJo/fvF1lVOrn8PI0mxrJhluc1SuI4wTag7xDtDtr1ZLqzN0PMKYGqb0StxhxdqCU//n/8uU3/rc/T7fZrNJqurq7z++usUi0UajQaNRoNyufyeC6AxWO3t3g3CMJj5ws9QfPwo/tVbKKXIH9pL/uh+/T3eZ/y4bf4hize2zcMw5PTp04RhyMLCwiNN3PDBJO/V1VV832dhYYHHH3/8h8rLfthQStHpdOj1ejz99NMTuppSiotXBpw616XZjmjUHJ5+vMKJI8UHfo9WJ+K1s11ynkkUCUxDkM9b7Pou3cIM/UKDdeck06nLU9YSj3/yBOf+6Ay+82acwVgZbaz3LYXBXPsGZb/FtZknWejcYLF9HSUMTJnQ9eogBAOvijQMGoN1XVVJLaCxU5hnsXcTlaakhk0+GdFzq/S8GlKYLPRu42Xz77XqQUBhJwGp6ZAaWizHtzWNSCi9ICgFnclMtOvVGXplTmy+QmOwwXrtIJHl0uhvsK91SfOqlSIyXUyZooSuxvpOadKeHbfobRkTCxs39YktF1/opGLJiLLf0jPbwiy5sK+P3zAohD0CK8/r88+TWB7nll7k8twzmDImsAsoYVAeNREywU4jzPH8UZjkkgGWTAnsPG4STGa9I6eEMEyccAio+9DRZhrjJXohoVOdgTKMrBsSs1laphI0me2vEJsOI6fElZkniSyXUtCZoLat7DhSYRIbNt49NqYyg8EZSFC69S+UJBEWI69ILurjxkGG2g81UtzWrX1DSYZeRfu9p+N2t16WmMjJvFl3DGTW49FV87jSFqQkwgTFGD/PGMmwXtuPEgZX5p/FUJnjmJIc3zlNo7+OEwcc2L04wRDElsulmWeQ+Rxev0U8FCSxBJlioJDoxH568eP0cg1qo20MlRLYBW5On6QQ9TiSrGEEIcGtNV01q4xaV6vyunOUYeQyG+9iujZJlLLt1rg89yKf+Rs/jWEYVCoVKpUKBw4cIIoiWq0WzWaTc+fOIaWkXtcVeb1ef1slyjfGw3KshWFQOHaAwrFHr8T2sMcwGAx+nLx/2NFqtThz5gz1ep1SqfSBoAUfZfKWUvL666+zublJqVTSbapHeMyPSiI1SRLOnDnDaDRiZmbmPp75a+d6/OnXtlEKCnmDWys+t1d9/GCa556svmlb27sR/UFKuWQSRloHYqelZRwN28R2LAwhGAxT/vMfbZCmkmZby0/q5JC9YIVumxtKan9lIJ8G1EdbdL06tkq4Uz+GLSPG5WBkesx1bvLM7W8ycvIIIUgMFyfxMVTC6cVPsFnZy3z3Frl4yM3GMTZKyxTiIb38FIlhZ05XglSYFMMuFX+XkVOciH7cqR7i5PrLlMMOsTDx7QL5uK9bw0nIUvsaQ7vM/tbrLHRvorLKKbRz3Kgfp+I3MVVKszhLPuySCgffKWce0lK7V2VnQwjB/u3zrNcOYiiNQHeTEQKFFCaWjMmHfQpxn+3SEp3cFGP7DQDG0q5mBgZSWnhlkNOV/qS+zPykD2+d4vWFj9B3a5M5fWw6uPGQxmCVTn4KS0ZaPcwwsdIYN/YRSmux2xkaeyyQM7Lz3Jx+jH3Ni0hh0c3VEVKy0LlJzd+l51aI7Lx2TsMgtDwsGeOEUcYHL5AYtk6kSiIxaOenaBbnJ7P3sauaFw0pJQNC28NOtTiNgWKrtMz1mSc4uf4ySIlNMml7303Hd81DBCpTZZ+cMkLL0/xwKRFCA9dSw2arvIdufop8NKAUdkgMg25uisAu8rEbf6zPIQaJqdvnZpow17tFOae18tMwzZYS2VhbJQRuYZK4x8puuXhIZHms1A6zuLVFhQjDsUmDEMM0EbZFS5TpihJzUwZi4CH9ANMQ1HOwazfYXesyu3/qvmfVcRzm5uaYm5tDKUW/36fVarGxscHly5fJ5/OTZF6tVt82Mb4Tx/thIukNGL5+HRlGeMvzeh7/Lt6X74Yq9uPk/UMKpRS3b9/m6tWrHDlyhD179nDt2jXC8M26yu83HlXyDoKA06dPI6XkxRdf5MKFCx8Kw5M3xnA45LXXXiOXy7G0tHTfOQ3ClJdfbWOZgrkZPUuqV2FzJ+TlVzs8drREzrv/YXFsA9OEJNEvRz+Q+u9K/0yq7O+24MqNIf/bH6yTpOquSwgwrvDceIQyLFLDwpQxbjRgmKtTHWxRGe4wrB0kMCxMmWTAs4jV+iHqoy3meytZZafbnK/PPoM0TdqFGe40jqKEgZ2EpMLAGG4SWy5mGmZtY4PAKbHQuoo0bbppHQ2a0wnzysyTPLH2EvlkSCJsEsOe0Mym+ut8b//PENoes/0VzRd3S9yuH6My3GZ6uE7YyrFRO0CrMI9AZVxnSEyH0MplowJdZdeHmwgh2CovMxZykUIw3VulVZwncAokpoOT+LixTzFo0Xdr9PNTk4rvXtCVqRKcNCBwitqRTUBkeuTDLsc2f0A57HB59hlGjrYdLYQdYiuHm3HFldCtYyF11yDNUo+JxiQIpTnwiWFTCLXu+7WZp/DioW6vmw6zrWsYMqU22mWjup+d0pI+tjShNtrCTXw6Xh0vDSZMgIFTYqu0zA/2fwahJLl4QGw6xIaNNCxKYYfFznVuNk4wqOzT51EpCmGHm43jLLevUvKbCMlEWlWDznQ8KO2Mb8ehUyY1TK3jrsC389oRzc6hMCaGKqZKqQ83aeZnSQ0boRJi09P7ESaGjKkHTUb9GiTpJGmPwyDDHwgxSdzjGKvGqShCJgEqSUBBCuAHyLzuQAqYzNCV0nx2mUiSUUi4tkX35dMEK+vYU3XKzz2uW9YZc6VcLlMul9m3bx9xHNNut2k2m7z++uvEcUytVptU5W/E67xfvYnB2Uts/t5/I9rcQUmlPcVffJrZX/55DOfBEtFvjHfTNp+dnX3Px/phig918k6ShLNnz9LpdHj++ecntmqWZU0E5h9lPIrk3W63OX36NI1Gg8ceewzTNP9KtcjfKt5oLHLz5k18/65SVrMV0+nGTDfup3HUKjY7zYhmO2Jp/n4U+vKCx/ysx+1VH8eGIFKkqQaOAxNXpTBSmIYiDO8F64j7Enhs2hxqXsQNhxTiPiJrOa9W9jPfX+PQ9hnWqgcIrRxlv8lS5zqvLX2C7+3/HHtbl5kabhIbDs3iHHeqh8jHQ8rDJsWgzcCpMMzVSQyToVsmNSxCM0ch6mKnEfmoT2I67N+9yI3pk/h2ESV0Cz82PTZKy9SHW2AIykEbA9iuHmKleoDALfJ6+TmuzjyJmwQkhsWe9hXq/i4gWOzdZna4xsCpAAozjbg69yx9t6IrTMPGlFEG3lPsa16gOtphp7SAQDHdX6M6atIszNEszJMY2axRKYZumcpwCysNSU0786HWiVUBfafK3tZldkuLjNwyQilqo22muyv0vCmeXPsOR7ZPM3LK2InPwKvy/X2fw5QJThIwcksTdLedhBlyX1toWqQgtHWngWK+f4fl7i1u1Y+yXd6DLUMW2zdY6N5kYBdJLRcFOLFPxW+SS4bYsa9V5lJfu7PZeUyZUIz6nK4eYOiUs6pULxAU2k/dQNH3qnQKM9msPkEJg25+hqFb4/rUCZ67/XV9m91zv+oz/ECtFAASLASKnjeFEw81NVEpcmpIKiyKUfe+zxuorDuhVf8M20LFWhRICAMhJYVRO7vDNa5j3LwHqIx2sWRMaHm4STD5nG8XmOvdxg36KKEXpJMVR5JS3L5NcanHzq5HNRhiCIEyDVq+yXy6RWHU4vbv/jH+tdsI0wAh6Hz3Neb/3t+g+vHn3vS9bduedOGUUgyHQ5rNJjs7O1y9ehXP8yaJvFarva/KO2532fxf/ytxq0Pu0D4wDZJ2j/ZXv4u3NEftpx7OwOPdJO8fA9Z+CHH+/HniOObFF1/Ece4mkQ8SFf5et3uvX/i4QzBu+3yQhifv5Thv3brFtWvX7jMWeeP2HMfAtgRRLHGduw9mHEssS9z3s3HYtsHnPz3NH//5NhubMBhl2OMxdzsTX8lGdYShxEgTpDEm59yNVNhszByl1N9hFPRwIw1I2y3O0yov8dj6y5zY+D6mSkmExWrtEAO3AobJpbnnMWWMQJEKU3tnC4OgVsCLh8SmbqfnY59cGrJVWkAJCyUUe3ZfJ7LyhFYeQyYcX/seg1xdV1+xTzlocm3mSfJBB0/F7BQXuD31GJvlPZo3HI9A6Ip3trfC9HCd+mCDfq6OoSRpNqOvBC3dyk1CZrt3oLKMbxcxZIShJBW/RWjmUfSojnaYHqwDkJg2iTDouTXti33PCZbCILSLzHVvsVNaIrZ0x0RIiZf6lKIOa7VDTPXXaPTXEYDvFLk5fYKj26cByMdDcvEw+/uA+nCTG1MnSUwLlEJl2U8o7V9tqBRTJaSZe5gtE5SAUthDCpPj26c4vHMuW5xJDCU5u++naBdms0oeyqNdTmx8n1qyBcIgFXZ27SykaWY0NVeDGJVuXWvhHF3xBnaOiOmso+JP5vlCpURWjs3y3nsq7rvxVk1ZjZ4X9HJ1UmFSCXYZ2SUUAkuFRJburGxV9k0m6fqeNUkM/Z6y0phIupPrIzJtATf2tb2rMIlNBy00pMcuhajHQucmt+tH8ZIRVhozdEq4acCe3UsEwsOSQwzTzMb3AiywwxHHNl7lTPFJtsyatnPFpRB2eCy9yebvbtJ/7aJ+6KREWBZJu8f2f/4KxSePv622uBCCYrFIsVhk7969JElCp9Oh2Wxy5coVoigil8tNqLv5fP5dtbuHF64Sbu6QP3pALywAu14h6fbovnTqA0neP26b/xDisccewzCMN90MH7bknaYpFy9eZGdn54FCMR+Ehed7Odaxr3mz2XyTscgbk/dU3WbfnjznL/VxHQPHNohiyfZuxImjJabqDxZWWJrP8ff/zhJTlW1WNnP82TcHhJmVtrwnPysFfnC3hQlMBoBGmmCpmCEeYWEe4U3hJAGFqI+RxoROgdf2fIpc1CcXDQjsAiOvoncgU7xkRGxo8RBDJUjDxpG+Rlkb2m/bTGNSp0QPnfRSw6Sbm+babI7H1l6i5u9wffpxDu2cozrSKHOFwUrtMCvVQ2yU9tLLN0gMS7dug07mBd7BypDwgV3AizUAy419pKFrPSGzBKQSBJKl9hUEKdJwMrBVgpVGpJjcrh9l/+55DDnmm5tcmX+G0CthpTG2DFFCI/NTBKGTp769ge+UGFDR3GMZs9C5jpXGtIoLrNUPY2ZAwDSz6yxGvcmVGLd0LZlwaPsMN6YeywBhejFkpyGGTCkHbaQw8O0CXhIgUFonXmbzXsNGCZG1nDWm4crs09xpHKUctHCSiNhw2Kjup5er89ztv2B6sMlK7SC5eISbBkSmS2jlyEcDlBD6nGazfy244lLt79LKT0243BJdXcqsUi76HS7NPstWZS+mTFjo3mRP6zJOetfjXSImdbD+/gZR1rlZbl+nPtoGBIHlcaNxgvpwi05ey8oWgi7SMBm4VRrDDewkRBkmVqRR8KaSWDJm5JQwIz/Trb+7AEEppDCIDJej6z+gGHZZrR0iNh3meivs3z3HyCxQti0IASmzdtZE0YilO2fJeZus1Q4wcCuU/RbL3euUvYTOTgEhwJ5uICwTFUYkvT6Ds5cJbq2+K561ZVlMTU0xNTWFUgrf97lx4watVotXXnkF27YnCPZarfaOzBrpB5qpYN5fDBieS9IbPLT50sP6PIxGox9X3j+McBzngQnqjfKojyrG7e1349Y1NuwQQrylX/iHoW0eBAGvvfYahmE8UNDmjdsTQvCZT0wx8lPurPpIpbUi9u/N85mfnHrb85PLmRzYY9GoO/zl90ykGts6CFKpW+lpCv1hqvm1k9JcNxNtGSNUgqHkRFs6tjxkPKKQ+kSqhBIWvlPGd8qMwW6GivV8ViZYMiEXDYhNG1vGWn0NCOw8I6dMYOcgq4Lz8UC7YJkOShi6EopHDO0SP9j7aaYGG1gyppNrsFVaRhpav3ws7IIQxAWHVBjk4iFuGuLFI9qFadhKcdIQL+yxU1rCUGpiTZkYFqWgTWnQw5YJW6VFIitHIeyx2L3JhblnUELw2r5Pkw8HKGDolMgH3Ww2mmCpFLLtGRjElqBZWiQfDamMdjUFyjARUjFwq5CJuESmfvQNJXETn+3SIldnnmDkah76ntZlZnp3iE0XNxpmrmklTetKQ7xoSGh6euRg5XXXA4UlU/LxgNiwcdOAkVUiNl0sGaGU4Hb9KCO7QD7q4yYBtowoBW1GTomhXaZkdUlMhx2vhpFV0PmoR2W0g5HG+E6B2HS0EYxpY6cRe1qXiQ2b/c1LzPduo4Rgs7yX9co+Bk6VYa7K68VZTRUUgt3iAs3CHM/f+osJwI4MXz7WUjMAZVoUwz67hVliM6c94tMANw1JDYuTay9xe+o4vVwdlGSpfZXjm6+glGJk5vBkSE5q8F9g5RhZRfrFJfa2L2uevZQIpUBod7KuU8NEsn/7PPu3zxEbWsq1W5hmZfoEyzdu68cEJr+XPVYgJY1wh8Zue/wAQ5wgI22q4s5PY9j6mgvPxYgiknaXNHjv2CEhBPl8nmq1SpqmnDx5kk6nQ6vV4vr16/i+T6VSmQDfisU3s1TcxTkM2yIdjDCL+ew1oEjaPUpPHn/o9/CPK+8PWbzVhfsgK294OK9wgGazyenTp5mbm+P48eNvOfcZW5g+yng3yfthjEUetL16zeHv/dIiN2+P6A8SSkWL/XvzbzIleFBoIAwYGSAmzQBr9wrmScn9s+6M6xpbLkJapKZFYBcwlMSUMa38DJZKKPtterkaaizqktF03CTQzl0yJTUdBl6NXNSn7OsKMRE2KLRspp3ThbowCU0XgdC0JyW5NfUYN2vHcFQ8mTdLYWGlESaSoV2ADFg0bhlLYdLJT7OZ+Mx3b2PJWLtIhW2ahVmU0lzwbq5BlHHAa6MmXjyazHaX29e1shsmUgh6XgNLRuzffV0nXhSz/RWGIocb+QSONggZE5gi08XIqrJC0NIVL3o+3cvVGXiVDMAms/azXvQMnTKX557BzjTQ1yv72C4tcnj7DJFh08trzrGbBBhIIivH0CmxXVqiMdrCUCmFOMyQ2Ca+VWSjtMhy5wZOGmZALF2hd3MNfKfElmkz17tDKehgZXS20M6zWVpiur9OapgoDBLTwpSSVmMONx4ihIkyNJmrFLSZ695i4JR5/vZXcWSkhWFkyonhK0wN1jm78AKR5VH1d4ksD0MqvGjARmUfQ6dMPtJqbGPU+fhW1Hx1gRKCTn4GO40QaB34Ythho7KPPa0rzN64Q2TnMhW7Aalhc2HuGRYGK4woZzgGQ1uypiGhnaeTm6YcNDGE3mdiWISWxyhXoTDqsFucn1DmdgrzXJ17moXOTSylLTsnc6exW4htMVkRS3WPOpsCYWAUc8gggFJe89ZRpH6I4To4M413fJbfKcZVr2mak6r78OHD+L4/oaPdvn0b0zTvo6PZtk3+yD5Kz5yk+9IpzHIBw3WId9s4Mw1qn/roQ+//YfzEx/P7Hyfvv8L4q07e9yLgjx07xvLy8jtu91Gj4x82eY8FGd44h3/Q9h4kRevYBkcPvfub3TAMTEsniCh6Ow1noQeomh8FSrexGT+IQmTGISbCkBjRkFLYwVSpliPNEoOThJT9Jr38tG5VypREGORRtPNT1Ic7GEILfzhJgFCp5sgqQWQXAJVZi8LAreJGAyKnyMCtMD3YwJAJrcIcfbcGhqGdyGSi56PKzNDWku3iIj2njCcjFtvX+N6+z3J5+gmWOtepj3bIR0Ny0UhXlQbcqh1CmS6+WyQyPQphl6nhBl48ou/VkKZNszBPfbQFWeVaHO1ycOcsF+efJ7QKjO02QVAbbWMnId38dIaI1iYhVmZuooSZVf96MZmSnb84oBZo5Ss39rnVOMZWaQ/5qMfQrWRe5/q4zTTEt/Os1Q8xPVjXTmC2RnibKmFkl1irHcJMI0rJACeJkIbJZnGRdm4aJQRWmhCbrkaNm1q9bbO0RC1oMjtYn8zdtVhNjaY3TTHus1XZi51oJL6dRlybfpy5/ipzd75GOz/FwK2SGiZCpswM1pjv3aZdmGOldngCtnOTACcN6OSmKEQ94K4T2lhYJxEmbhIwcsu4yQgnCXW3xbAQ6A7OmGRWCHsoBK38LBfmP8Jsf5UUm0vzz9LP1UFAdbTLQusGhbDLZnkZK8M2SGGCUsS2x8gts7x7idjWVT4IZgdrWBsJi+1r+ricnGYKjAVkTBOjXkHutMYqSneTulIYBZfiY4cJ72wQ73aymYD+t9JTJ3Dn39mC+J3irTjWuVyOxcVFFhcXkVLS7XYnifzixYsTCm31l34aZ3mW/vfOIP2Qyk88S+MzL5I78Pbv1Xv3D28vzzqO4XBIqVR6x8/9KMSPZPL+oNrm4/n62y0M0jTl/PnztFqt+xDwbxcflE/42x3nvcYizzzzDI3G26+wPwjFNstIGQ7fbpGlII3A1HQQNx7hxD6BU9RgK6X0SypLTEoI7GREJz/NXO8OlaBFZLr0vSoKg35uCiUMYtMlskwMmSCFxdAtEVk56qPtrKKD2fZt1usHs0pUv7ZT0wGlsBOfxmiLTSdP4BS51TiuQWgoikGHYqRbuz23CoYGVEkMDBSpYeF7FUKZ4k+dpBANMAyTjeoBvn3gZykkQ6qjXab76wzcEn9x7JexZUwx1EnElhFLzassta+wm59lerSFqVJ2i4sAePEAE8VHbv2F9rauH86EXxKm+2scX/8eLx36BRLDyma62md8mMnJGpmGeGLaWftVYmfV8Z3a4cwXPEds2jhpiB37GVXJpZubwkkjhNL67323ypmlj/Psyje0YpphMXJL3K4fJRUWV+efRwGVsEVg5WkV5iiGXWSsW+amjOnmGgilWGpfRSjFQucmhtTzeCOzWLWSkLnhCqHtYaYpQkCzqIGWAkl1uE1iWCy3rlIKuoycEm4yojHc5PLM03RyU3jxEDsJAIFv5xk5Jdr5Bkvd63oBqETWhdbdocDOU/A7ODLGVGmm927S9qZITIfqYEdjMNAJODH0rP/E5isUwi7fOfgLtApz5DMswXZpGd8ucHj9NdzEZ6V2hKnhBnYaMnJKtPIzHGhexCHFiQca1IaJm4wmdDRpmJgCRM7TbSulMGwLo1FBdgcQRtnzwqSL5e1bZPoXPs3uf/0L0iACKVFxjF2rMPd/+BsPTcV6u7gXbT4YJly4POTWio9tC44cKHDsUAHLMqjVahM8UBiGNJtNWq0WKysriKpD7e9+lnqlwtT83H0A5XeK8Xvwx2jzD1G8U9v83cymHzbeLimORiNOnTqFZVnvygjlgwCsvd02oyji9OnTxHH80Drqjzp5CyFY20yJ33KNpa+dMizEWIglGjDbu0NiOrRzUzSLc5M28NjVKTUdRl6NNcOi4rcwZEyKie+WQEnKYZvEMLWkqxCUghb5qEurME/PreKmAbXRDpXBNtvlRWK7cD/HHIgNi8qoyW55WbtbpSGmjDm8fVYrsUVDEksf4/nFF7W9qEyx0lDzj4TSBhiWR890tIe4YXN7+iSh5TFWjNP8cN26N9KIetgiETaX55/l5tRxCqnPau0w5dEOpagLCNreFFuFJT5x7Y/47KX/yFZlL0OnjJv4zPbu0Mk1JrAr/WcmFILEikdEloupFCLVXQMl9Kx/s7IPkSWikVsCqTsLtkoyFTXtYV0KOlpPXklSw6ZVmOXrh/8Wi91bFKIefbfCVnkvpaCFgXZhU4b+nqWgTWB5HNi9SLM4Tyc/jZv4TPU3mO/cIB+PqI22cZIQaZiZPGiMncYc3LnAauUgThpQiHok5hjVHaEMrY92p3GMyHIRClLDpOK39Lk2TJQAQykkCksmBLbDyC4RY9LzGtgywlAK3y4QmDmm+6s4KsIL4wyjoKvzfDyg5TaoDzcxM0Q8QluGFqI+vq2157v5Kab6a9py1jDwoiHt4izDfI2TGy+zUjvCWvUAseFQjLrsb16gMdjIrhzoHlByz10JpmkAKWoUZ61zQaoUhmWBZUBwLyIUsEy8PQtM/63PYlWKdL/9KslgiDMzRf3TH6P8safe28P9hhi3zfuDhC//921urfi4joGUiktXh6xulPjsJ6cwjbvvatd1WVhYYGFhASnlRLp1bXuLS9evUSqVJi32d5JuHVf+75QLftw2/xCEaeqX8w8zee/u7nLmzBkWFhY4evTou+I1flCAtQfZl/b7fV577TXK5TLPPPPMQ+uov5/krZRitxUTRin1qkM+Z2IYBiP/rexVNUDIEFpoQlN7FIZMCC1Pa5gHbSIrx8gpYKbpxNdZZHPayPTYLi3epZkpQJgM7UpGKUowMRi4VaaGG4RWB98p4SU+Q6/KVnlZ65KrFCagJUDpl3tluE1tsEmzOI80LPY1L3GgeVG/8E2XoVNiarjJybWXeHn/Z0mFpYFpiY/vFCezZZUpttnJgKFbITHdzKzirjsXQrBT3UcrmceWCZHlIoXFvt3zHNg9r1HcwmK7tMjQq1EZboNSuGnA3tbl+87sdmmRst8GFCO3jBIGhaiPG49IDZPQLeJFI5ShqxQpJb3CNJHlUvGbRJmimDYsMbCSEDfxs5a7wEoCEKAMzSNvDDZoF+e4PvO43p7Qv1NP9czfUglKCoQi02mPWOze0JrjpJhSAxNjYWOnASYKiTHxzx4v2opBh9pwi43aAQyZ4smR3h+wU1jQ/ugyxYuGjIe+rcIMqTBxoyGhlSfMRhuGkjixT2h5bFb2kZguCM0CGIPgAreIFXQwVYLCyDTOyRaILUylnc5Sw2LsNGaqBDcZ0nfKLLavc6B5ATuJiDLd+b5X0yIvSrKvdYm9rUswOdq3jsm/J8ldcCfo+XYUkaxswtB/8y8mCeHGDqbrMPWzn6T+0y8igxCzkHskeuLjSNMU27Y5e7HPrRWfPQselqWPejBMOHNhwPHDRfYuPdid8J2kW5VS94nEvBEU/LBgtSAISNP0x23zv8oYJ6QkSd5Ve+Vh4o3JWynFjRs3uHHjBidOnGBxcfFdb/OHVXlvbm5y7tw59u/fz8GDB9/Vwua9Ju92N+Yv/nKXm7eHRLGiXLL4yNNVyjlYmDEwxJgiNpbDuHtMtiMwwxA3GhA4RaRhkgoL3/YAwULnGjemTmaVk4EXDXDigIXOq4ROUYtfKMla9UAGAoPY1qpWKAtDSZqFGXw7jzQsTJXiJD59r0bXrYNhYibaTMLIji82XAylCG2PZ+98nbOLL9LNTbPcuYpCW3sut6+yXt1P360x019lb/MyO+UlrDTOtLXHM3A9jVaGwHfKxFbunjFAhhYWhv6ZEqSWS4ru5nhBl/pgk6nRNk7q40V6UbBe3osX9nClxlDIe86qQMtpeqlPLupTDbRxiJ0EDLwqxWCUmal4E6qRtGysVFdyA7c82ZKVarvVzfJeZnsrBDWP1NQuX7aM8aIBHa/Oge3z7GlfZrOyn8R0cOMR5dEukZ0ntPNaox6ABIX2X6+NdjLkvO4YlMM2DtGEiW3dI1mqK179Z2nUwpDaXcyNfSwZEdl5zMjnTu0wB3cvTJJ+YljcbDyWUfkEM/1VfLsAwsBKfKRh08nPcl2YnNh6VXO0TYdcOEAKk63SMsWwi6FAIlEZrkEpgZ2h+yVCS/RmyG+ltFf89GCdYusypkxJDZNiRnMMrDzlqDUBxqnJVbv/uXvLp/ZB/t8KVLv3Vr9BsLIx+bvh2I+kTf7GGLfNr90akfeMSeIGKBYsdlsJaxvhWybvN8aDpFubzeZ90q3jRD5Guj8sTQz4cdv8hxFvB64CPjDQ2ni7SZJw7tw5ut3um3jR73abH8TMe7xNpRTXrl3j1q1bPPHEE+9J/u+9JO8kkfy3P9vi2s0hM1MONcegkyXzp45LFmYERQ96vk5O2cFqjJpQHNxbYvOVFZwkwM3cs2LLxY39TJhkjWvTTwJazvTJlW/RGG5SDlp0vDqxlaMY9akNNzm9/KmsCodsBxMLy5FTAiHIhT22SsvEloeTRoSmRWp5IFOUSiaV/diparO4xEdv/CmRlWN2sI6VhkRWjsSw2de8hG8VkIZBPurz/X2f4U4mrpHPKGqBmSN0CiATItPJEuY9Fhjq7v0tVIohJUZmhVoKe2xX9rHaOIahUhq9NZ5a+xb5sMuF2Wc1fz17+Y/FaBSCqf4a9eEmG+V95OKBNm3JT2HJhKnBBgOvhpPuEGRSrEIqtssLFIIeXupnLWJB16vRyzWITAdl6HmwF/uAVoUTMuHFG3+CnUbM9Vd5Yu0lzVEHIsNhvbqPS/PPE1oetoyRCPq5GvXeOjemHmOldpjALuAmPsvtKxzdfA1DxliTWvv+WKkd4vXFj1IKOshcxtVXLgut65T9Jl2vTjs/jRePiCyPrldns7yHkr9LaOXZLS7iJL42NnFKFIM228UFNst7tKDOYA0rjejl6jTzs/hWnv2t1yFNsh5Jei+tGgBTxYCWNCWThk2VQT4eIIBOXmMwDJVS8tvsa13GikeMl296W3e55ff++V7jjectbvXptn2CxODOWoCUMD/rsDTvYRjvd286xsnTMsV9Wg6g300KxXuVPr9XunX//v33SbdevHiRJEkoFotIKfF9n1zurRcIg8FgQm/76xAf6uT9ViGEwDTND4zrnaYpw+GQU6dO4brumxTe3us2H2WMk+1YQnYwGPCxj33sPbeE3kvyvr3qc3tlxOKci+fqle/MlMvaRsCl6wn1qqKadBjEHtK0GFecIk3xjITKMCDtr7GndZm53h0sGdPMz1IOO0hhslI7jJeMcJMRC+0b7G9eYmSX2C4tY8qExnALBSy0b3B26RPIiSHj/TFmo4VOgXw0wEh8Qks/5Fo+VCu6mWmEUDHFoMPIKbLcu01gl7DSgNi0iQ2bXq5Bapg4aUQuGQACLxpipsmEy27KGEvGWihGScyMwqQXFWRvWKER73Cf/riuVFMsleBFAywZkxgWm7X9nBaCkxvfZ0/7KmSWqZMRhFKkQjufHdg5hyFTWsV5IjtHMeyy2L6OF/XpFGZo56bJx0OkEISGy3znDr5bnIiLCJXgpSHGcJtWcZ6+YZKLtO/2IFdHGhYvXP9jDjRfp5Ofop2bxkkDbKnnw2aaMN+9ycCrslE5QJIhtAthFy/1uTz7DLl4SDloEdg5Ls8+S2jmeHrl629K3OMK/drsU9iZ9OhicJVUWIROgaX2NYRMmB3pRR2AjPRrbVUcou7vYCcx/VwFocoatKcShnaRStBkZJU5tfenKAUtctEQ3yni2wVyUR9xJX1Dryi7RoxrZaEXUOPriUFgelhKMnDKenGUieGMnAL5eARJqBX+0nAiCgMQGi6JYWX+5g+Od0q1b/w9ha6K/92/PkvUmGXQ1ZavuaLLk4+V+MwnGqStNt2XT+NfvY1ZLlJ+9jGKTx6beH2/XcgwQiXpZOZ89FCBG3d8glDiufr3292EfM5kz0NW3e8UD5JuvX37NsPhkJdffvlN0q33VuTjefcHYWr1VxE/kskbdOv8g6q82+02Fy5cYHl5mcOHD79vx5wPqm0exzEvv/wyruvysY997H0tMN5t8lZS0nz5DLPfeYmy8GkX52gtHsecm8VxBMOhYrTbwWptUjUrhOi2uBYFGTHTW+PjvbOs3N6gGPcohn3dapZp5uUssWTE8c3XsJKAmr/L63PPslNa1OIt8ZCm38JLRplOONp/2nDe8JYTiDQhl2qd8YFb1dlcJrrKVAonDVFCIIWFHfsst66xt3WJ2f4qiWGTmA6mTDR3uz+iWZgjsPPkowFRlqARimLQJrJz9DOBESW0wYjM/K7HxzNGAqNkNou2SEx3wmdPDZt82NdddSRuGiATU9OOVMrUaIvAypFLRuOrkblvKbZLC1hSMte9zfRgXSuspRH5eEiC4Mjmq2yXl9ktLmKolMOt0xSCLt878Hm6+enJgqA+3KIQdGgX5vAyadpcNMCNhwzcGt/f/znsNKY22qZVPpApq6XYaUB1tI2dJjy2+jLznVsM3SpmGlOIupxe/iReMqQcajERJw0w05Tt8hKhU8KI+pNm8jiahTl8u4AUBu3SotYBUAqJxhN8/vy/I7FcdgvzOJnwSyHssbd1RdOgVYQX9TPzD92hkKZFbbCFLJn4TpG+V2folnXfxbAohp3J4upN9z4wsgpYKsXKZHgVgpGZ507tMEu925kHvJFdcQ32k8Kgm59mabBKiqkNXRgvvxSB5ZJPhm9K0vfJILzLSGyPixc7zNR6lDu6hR7XZ/h+Z4l5s0/uy/+B/ukLyCAG06D5J99g7u//ItP/w2feMskl3T7NP/sW/VfOI+OYMG+R/PynOfnsAndWAy5dG5JKjdrP50xeeK7C/MyjHW8CE+nWer1OGIY88cQTtNttWq3WRLq1Wq0ihEBKSRAEFAqFR5K8//k//+f8l//yX7h06RK5XI4XX3yRf/kv/yVHj95VqwuCgH/yT/4J/+E//AfCMORnfuZn+Nf/+l8/MmOUD3XyfruT/EFUs0opgiCg3W7z+OOPMz8//0i2+0G0zUejEd1ul71793LkyJFHssB4KxCgUoreIMEQgmJBG2Fs/7evkf7n/07u1oC+MnHDa1QuXuTyY58nKFQ5zjWC9Rsc2Whyo3aU0PORmd9zZLrMdW8hvQGd/DRtY5Zy0KYStFHCYKWyHy8eUQ1alMIuKSan93yCoVuiNtwhtHO0nRl8t8TBrdMUoi5WxrlODQvUXfrXuM1ryARHSdxYz44FGjkdma4WbMnaz/t3z/PC9T8msnPcbhzFSSPMNKEYtMnFQ7ZLC8R2jlAY3Kof5/r0CUypWG5fxUkDKn5Lg6eUZOCUkEaZ2NS8Yw0SE3dnpJnuuhOPSNNIc4ktl0QIQjtH1d/VUpoIDJliqJTYcPASn+3iEjODNbxkmCUPncKHVglp2TSGW8RCo6G9VAvBpMKgFHaY7q+z3L6mmXgIqkGT5dYVevkG0tALmNpwi25hWkuOZvKvpkoyHv6Qvldno7KXXDzKfLy1ktvILONFQwJbz9+nh5tMDTcBMoGWAsWgM7m3BJBLBnTyM4zsIl40mMy4J50aAYFVoFWYxU1D8qM+IBi6RWqjHdw0pBD1kYaFbxdITYfaaIvjG9/nG0d+ifpwk5FTZuSUUGIM+hIUkiHdNGKpdZVmaSGzGA0pDLep+tv4VoFSMnjTsxIbNu3iPEYak48H2pzFtAicIp38NJWoQ8VvMXRNvWCVCbl4SKswQ2hYGIP0vu8vACFjrEn35v54N6nmjZ2CyHRR3Q7O9jqxkW1tp8WwFXDn6nWmz76MME0Mz0UlCcGtVdb/l9+n8vwTuItvTjIyjFj/X36f3qvnsRtVhG2RnL1KrzNkdnGBX/jcPCeOFtnYCrAsg/3LORbn3Q+02p207S2L6elppqenJ9KtzWaTP/iDP+Cf/bN/Rj6fJ0kSvvzlL/OZz3yGcrn8nvf5zW9+k1/7tV/j+eefJ0kSfuu3fovPfe5zXLx4cTJT/43f+A3++I//mP/0n/4TlUqFX//1X+eXfumX+M53vvNIvveHOnm/XTzqyjuOY86ePUsQBCwvL7+nxJ0kkl4/wXEMioW7p/ZRLjTGAjG3bt3CdV2OHTv2SLY7Tv5v1AheWff59vdarG0ECAEH9ub56D5F5yvfIt8o0W2WGI5S8uUpKu1V9tx+hXAUMhPdItcQLHU7NNp3uLjwEVZrhwFFadgCFN9zH2N9vkouHlEKWmzHPkYa8/WjX6Ac95jr3EIh2Kjup+9VMWWMF/sUg46uor0aI7eKFw4yhLaZVbjj/zQlygTSsVuXoV+oRb/NcusKCoHvlohMrYX+5Mp3sFXKWmGB0NJSqqaS9HJ1+kGHl/b/DE4yohAPUcKgPtpht7hAMWhTtfN089PYMp54ZttJSGS62GlIgqNrZCFAaru1vN/hQPt1Wvk5bfEZW6T5qYmASCHqERmae10MOmyXFqnsNLFFxGr1AAvdW7ipdqCKTYcpf5tursGt+hEaw23cNGS3MM9K7TDTvRXcNGBqsEmYaW6PW/oz/VXm+np0EZo5pGHSy09jZTxnrSSnz680LLxY8+0j6ya1wSappb+bIRNQknZ+hkLUx05jreaWIb2lMLU8atyfGGOFVg47DYmUQWR5OEnIuEMhlKAy3MG38xq0GA8zep3AkimFqEdo56iELQqda0SmCwocGeq2sWEiFCx0bjBySsQZdS+wClhJSGK6VPwWB7fPoelwKb3cFKZM6Xs1SoM3J+/AKbJTnGe5fY3QymULLAMvGTE9WOfswk/w3J2vavGWzCp15JQ4u/ACP3X5P77FE6hw4uCBbXr9rzreMgXeM2+4dxtKgRUHKNMiyBUwBNh+H9VsYt7+LspMMDyXtD/U+seGQXhrje4rZ5lZ/OybdjO8cJXBucvkD+3F8DS4UgUjkp0OnW/9gPn/6X/g2CHN7f5hxYMAa+PZdj6f54tf/CL/6B/9I/7Fv/gX/Pt//+/5rd/6LX75l3+Zn/iJn+Dzn/88v/Ebv/HQtN9x/Omf/ul9//9v/+2/ZWZmhldffZWf/MmfpNvt8ju/8zv83u/9Hp/+9KcB+N3f/V2OHz/Oyy+/zMc+9nCGK28XH/rkLYR4oPLXo5x5DwYDXnvtNfL5PLOzsw9NrxqHUooLlwe8/GqLZjvGtgyOHSrwky80KBasSdv8/VLb7jUWOXLkCKurq+95W2+MByXv7d2QL//JJq12RKPuIKXi1Pke/e9f57Fml3RpH67bw7IEYSgZ2CVmV86iHItoYZl02WSjv0Bu8w6HNk+jUoWXDOjkGpyb+6h24ELbOXbdKoudm9jCB8Okm5uim5vKjk6/jlLToVmYIzJdZgZrJMmI7dISnalKZqF5FwY0fpG5SUAlaOJbBaJMnWq+fR1p6va6EgZ2GhLYBeqDTew05NTyJ7jdOKYTZtijPtwkH/b0AkKl5JMRseWRGiZ2GlEJ2oR2jsdXv8OtxgmGXgUvHjLdW2W1dpBzy58gNWzGQjNCSV1JoyiGHUpBFzcO6Oa1YEkp6LBdWWK1epBS0MZQenYaWjl2i4sc2LlAzd+hGPawVUxoegihgXk7xQVq/g63Gsc5teensNOAXDSiErZYqx7ESSN2CvNUR02kadJ1axzYOcdi9wax6ZIYNlW5ixCwVVykGPbxnQKJMDUwLkP+O2lAx6uzWV5mT+caRNEkf6xW9pGPhmxW9jE9WJuYsnRzDfJhl8AuMHCq5OM+oZVj4FbZs/s6iZ1jy1miEPUzpLckthyGdonqaIeRW6bv1TEzRLkXj7T1ZtbeFpBx0pn8/3LzMqf2fJJi2Jl4pw/dUsbL7uImIzqFGbxoiJtqLMTIKXFg5zyBnXtgsnSSgMjSrIaq30SgiE2LVn5OC+AYJl87+nc4vH2actChk2twZfYpFjo3KCbBpFU+WWCiYYwu0XtL3ACOjZAg06zDl6moScshtPLcKMySZtcwbwUY/Q72oENqK20OksmtSikRqSTa2HngbsKNHVSaThL3OKxyEf/a7bc7wg8sHgZtXiwWOXnyJEeOHOG73/0uN2/e5Ctf+Qrf/e53HwljqdvV91a9Xgfg1VdfJY5jPvOZz0w+c+zYMfbs2cNLL730/x/J+63iUVWzY3rV3r17OXz4MJcuXXrX2718fcgf/dkWqVTUKhZRpHj51Q7dfsLf/ZsLkxvr/STvIAg4deoUAC+88ALD4fCRi6oA923z3Ot9dlsRB/bkJv9eKlhsv5yydyTx0hTTEFTKFoNBQjIIKSZ9kvmDdE2X22sxg8igW15mtr/GyC1xbfoEXhpS8XfJR7qqUQjahRkS0yK0ahkP+t764e6fsenQyU+TGjaJYZEahq620GpsYmJyIlCGSTloUh9t4dtF4shh5JQohV0i02Pg1pCG5jNXh9sc2X6NywvPcXn2WUpBCwW089OMnCJHNl8jNBykYRJkKPPUsOm7VZQwkNUD7Ns+z4nNV4hNh9SwJ7Sl1+c/Qmy5GCrFljFj4ZDCqImZxryy7zMUoj4iU/Kab1+nGHa4Nvsk3dwUCp2UEtOh0V9nbK1ZCfUxOmiFNKkEgVNkIBMaww1W40Mkhk1q2jRzMxgypZurc3jnnHZXw6YQdunkZzD8Hd3GRxJlQjI1f4ejmz/g4sJHGboV7DTCUCn5oIudhFRGTW5MnWTolCmFbYRS9LwaO8Ulfv78/4etyh5uNE5Mrp4bD/nEtf/KtanH2apqIRM7jTi4e47jGz/gwtzzlMMOt4vzGjCnJJHp4MY+S53r+E6R0MohDStjKIzYKS3rkcQ9ifDuwAT2Ni+zWdlHqzCLnWYObAqqgw2W2tfpeg26+RlGbomhp7/jcvsq1dEOM4O7NKt7w0t8jmydZuiUCIt57CTAJCUyPSwZ85nX/zdeOvjz/GDvTxOZDrlkxPG17/Hcna/fXxXfQxZT3LXoftOzyRvJZA/4TLkIsUSFCTKVepTiuKQHDmvpVeHhyBgQbBs1alaMsEykP8SqlRGZdobwA2SSIOwHpwYz72WPmpyA2pRSqDDCqr73NvT7iffi5b1//35+9Vd/lV/91V993/uXUvKP//E/5id+4ic4efIkoPOK4zhvUuCcnZ1lc3Pzfe8TfoST9/uVSFVKcfXqVe7cuXMfvco0zQeKn7zddl490yVOFHsWtXhAIQ+eZ3D91ojbqz57FvXK7q00gN8pOp0Op06dYmpqihMnTmCa5kRw4FHFvZX3OLa2Q3Lu/cpFpinwpxcJt6uUW1uYRokbt0akfkhtMKSlygQdieUqun1IU/26ksIgtj1MlHb+SkJCK5dJdqZ48ZCd0iKbBS17yZgbfm8iV1r0RAEjt6QdwcIucc7DUEpTgTQxhdQwSRDk4xGx4WppySw5+k6Z0nCbXBowO1jFjX1qo23a+RnWqwcYuGWKYZtKoBW6+l5Nm5MoAy8eMbKLCKT2+cbU+zIdzi5/gudWvkEpq/BGdoGhW9R8ZDyk0JxjlNI4ZZkSuCX6boXE1A5jCo+r88+Cgr0753CTGEdpFHdltEMxaGOplJ5bYWQVKIcdxkppu6UFpBAIUkZuhXZ+Bq2aZuEkPn/zzP9MajqEVg4nDVDC4Pr04zy2+QO2SnvIJUOd1K0cIKiPdimMWtSH25xfeoGhU8aSMbmoz1LnOlYa0S7OslNeppNO62Rr5XAy7fCDu+dZal9l6Faw0ohS2EEAT699h2D7lJYxjUcUoy4CCOwCJpJK2KHn1VAI7DTAVjGGTFjs3mCrtEdryhsGI7tIfbgFqRZ5cVQ0SdxpZgvqJSM+fv2/cbt+jI3KPsw0Zqlzg8Xs+A9tneGVA5+nMtwllwyY7q+hhMl2cYETm6/QzE8TWxqsVw40RzsFyn6TyHQ1+8CrYaYJ08M1JILEcPnU1T/gxZt/Smjl8OIhVhrT8RoU4z5eGrwJlHfv3x+ENr9RP85m7QDz3dvsaV+9r8OAZTI6/hScuwhWApZCmjbWc8/QPPAxymeaVIIWXVcvjGeibQygs3SM2VtnUEF0d8GcSqxiAav44LZ34fGjOLMNghsrePsWwTRR7R7Ccqh89MkHv1w+4JBSPlS39IOSRv21X/s1zp8/z7e//e1Hvu23iw998n67tvl7TV5RFHH27Fl83+djH/vYfXJ548T4sBEniu3dkFLx/pVfzjNJ0pBON2bfsk7qYyWidxNjY5HDhw+zd+/eSSL9IORMx6jMcVQqFuHN+8+9UorYLZD72c/h/uBryFevUwy0zeRmeQ9Du8TB1kVarRJxqhcE+XhAZHm08rNMDdYnVpIiMxyRhlaqstJEO3/d2yjMeOGgtE+0MFGYCBmTCwckhoMb9glyVb0NmSDu+f3QdHATH5R2jlIITBmRWA6vz55EbRgst6/R9RrcbBxnp7igFbGKixMDFN8u0J55imLY5ejWq1xvnKRdnNXcXpVSDAeUgybt0jyXZ55irreiJTHjEbZMMeVdeU3tgKbV5CInR2rZeMlIA6rcKiiFKSNmeqvsa15mvXqQljfFUucGoZWnU5vmwO4FfCuHK0NMtBrauONQCHoYUrJe3pu5b2nji0PbZ5jr3ma9uo9mcR6FoD7aZqlzQ8+pDStr7Sty8QihUmLTpmeVKaVDfurS79MpzJAYFsWgg52GbBcXWW5e4sbMEwydEoZMcVOfwzsXJ6YtQimqo93JNdEVpiQfDyjEg8nPFFAKmlydfYYDu+ep+C3djjYcVioHGTlFXrjx37k1dYKt8h6kMNi3e4lD26dwZUBq2qTJ+NobGKSgNPCvFHU4sn2aI9tnxzcxBil9p8LNmZOEtkcvVyc1TK5PnaQ+2uaZW3/BK/s+y3ZpUVO7koCF7k0eX3+JkVXATUOmB+vU/B0SQ8/R7TSkmZuhWVxA+js4iU8uGpAIm5FXYre8SHnn/Fs+gyl3VQDulTSKhU2rMEe7MMt2aYmd0iLP3f4adtbZSQ2THzz9t9k7f4n6nQsAdA4+ycrCSdq+ibC7VLsb1MNdDTiUsFPbS3zyadx0k7Q/QsUxwjAwy0XsRg2z/OAk50zVmPuffpHt//2P8a/dmWil137hM5Q/8sRbfrcPMtI0fajW9wchjfrrv/7r/NEf/RF/+Zd/ydLS0uTnc3NzRFFEp9O5r/re2tpibm7ukez7Q5+83yrea/Lu9XqcOnWKUqnECy+88KYV27vdrmUKyiWL7Z2QWuVuYo5jiSEEhbw50d19N8lWSsnly5dZX19/oLHIo07eD9rmiSMlzr3eZ3MnZLruIJVic1t/z2M//zyvepLvn5vFiGNG+SpblT1aYCVoUm+vT+wZlTC4OvMk3VyDhfY1JEJTnTKglUSbiUz117GLiyjpaIGViaiJnmEXgg6+W8KQEjceIAS4qc9ib40VcZiRWyE2jIlZhAI6+WmKUQ8n8Rk5JQSKpfZ1touLoARnlj7OlRnNIR64FaRhsdS5Ri4eZZWkS8+rE9h5YqUlMpc7Vxm5ZSwZ4cU+pbAzae+u1w5RDjsghFZrkymRrSvZ8VxRoWU4E0tT0ArRABmPkMLEUprCVhttax31NGS3uMC1mSew0piDu2cx04h2dT+mTEgNm6q/i5eMKActUsNitXaIoVOiMtxm4FYQwFLnGr1cjcR0ycVDpLBIhEl1uIWf8d915ZuClBTiIVvlPSTKQMoRa9UD1PxdcjJl4JQJ7Dy7xflsBp2SGHoRcnTjB5RHTTbLe7g9dZyuN4WTBiy3rrB/9+JdW8t7YlyF7m1d5ubUCc4tvEgpbGHKlJFTJjFMFtvXcZOAp1a/PeHM26k2GgmFyShXI7I0f1ovlmyGVmHCoddz8UzUKPvv4vzz7JSWme/dxpIJibBoFueY6a2wU9nPavUQFX+XctoktPLcmjqBlUYsNS8TWS4pAgOFJWNtH2o6JKZDtzCNhe4m6Ta9pJdrIFBY6q27hQmWpklmunkSg8RwUIZBKeoSjXZIDJuNyj5tSdq+qn8xTYkjiQh8ukNFalpEo5goMegGBqPZgxSLFmZH0/OiSp1BfonkiEG+ew6Rz0GctcoNA2EaFI4dfMvjLD15jNyBZUZXbiKjmM3VW0z9wmcfqeTqu4mHbZsPBoNHlryVUnzxi1/ky1/+Mt/4xjfYv3//ff/+7LPPYts2X/3qV/nCF74AwOXLl7lz5w4vvPDCIzmGH+nk/W7b5uvr61y4cOFt5UPfbfI2DMFTJyv80Z9v0WxH1Co2YSTZ2A7Zs5hj/5589rmH53pHUcSZM2cIw/AtjUUeFQjujdu8N3nvW87xuU9O863vtbiz7mMIwVTD4VMvVLl96xzntgTXpp/ENPV50G5MDt8/8DkWm9eYGm4QmR4bVf2yQWjbxP3Ni6xXD9Bzq5OKbGqwiZlGJJbHntZl3CQkNQx2iot081OAyChLbYp+m0LUByEIrDyV0Q75qMfVuWfxrTwYGoRWCDr4TpG1ygGKUR83GTHXvopA0nErulVemCGyXCLhYqURtcE6hpRE2UtTAJWgRS7qM3DKvD77DHP9FQpxn8poh8R06OSnKPltIksDvkZ2EROFMCVCJjrZjIVYhABhTQBFCoMws5qUwkDKFClskCmX5p5jpXGURFgTR60b9RPkgz6VoEUzP6stSN0qM4N1VqsH2SovkQqTA83XUQg6+Sn6TpVi0KXnNTCUJB/2kcJk4JaxZMLrc89xeOcc5aCViZikNAvzbJWWmO7dwU1jiPq0cw0N8Iu1Gt7V2aeQQhuAVEY7BG6J67NPYkYDTMOeAPoGVpnziy8wcoqcXPsO9xL5xiGActRjefcK+cqIbn6a2NJqZWW/ydN3vokSBkOriEWMIRWhcDEEKCHwzRyd8pweByiB7xYp+B0a/hZjFbp7YWIDp8xOaYlS2MKS+j1iqYTqaJed8jIKQTnYxU5DEAZuGpCEA9ZqB9m7c4FBrk5ZtjAS7WNuCMXQrbJTmGOuc5Nb04/hJiPcJGDolBBKcWLje5OE/8ZIAWXaqMxoJzFtUsNGKc3hH2byv5bUUrbN/OwkeceGzZ6v/ScKrTtI08JQCrVxi/7qDtuPfxaRSnYjj6KySU2HrtnAKuSYPjlLxXmO3g/OoqREBSFmMU/j5z6Jt3/pTcd4b1ilAuVnT+r3hd9+qOT5QcW7kUd9ryqZb4xf+7Vf4/d+7/f4wz/8Q0ql0mSOXalUyOVyVCoVfuVXfoXf/M3fpF6vUy6X+eIXv8gLL7zwSMBq8COQvN8qMVmW9dAe2VJKrly5wurqKk899RTT09Nv+dn3UtE/9ViZ/iDh1TMdbq/52JbBgb15Pv9TMziOMdnuw1TK9xqLPP300285y3kUILg3xhuTtxCCZ56ocORggfWtENOAWkVx4fwpcrkcx48d5M++fYckBZHpIioFkV3i6tzTXOUp7keAK7Yqe9jbusTRrdfouVVS06UYtrHikHNLL/LM2nfYv3tB02+EnmtemP8I65W9zHVuUAnabJeX6eWnyEUDGqMtFltXSZwCxajPavUQieXiRX32tq9wvfEY16cfRwK1JGSztMyF2efY07pG4OSZ6a0wdMpIw2K+e4ulznXOLXyMoVcDBKZKdNUXj3h5/89gxwErtUPEVi6bIWoTjaLfIjVsikELIQzGdieY4q5S9+Sdnf1FaOGO0CgCCqFkxjVO6RZmaBfnAYUUJikmg3yV2HJYqR3myO4Z7RudGWPcbhxls7TEsa1T3Jh+nE5+Cok2JXl85Tskhk0p6hEb9qTUzccDYstju7TEVmUvC52blINmdt7LlINdJCZ9t0IlaOKkEVIYmDLmpf0/OxGjiSwPUybkoiE9t0ZoOlSDNqZKNGVOSbxoyJ36URZa15nxNydn4Z67AwUcbF5kuXeTdn6K1LAo+W2mRpskwsJSKX1PUwsVKVIYpAJ287PYmc59bLqTe8dNA7xoSCoszVG/J2nGpo00DMz4/mfdlDGxaaPQHvFifFMDttSshNDMUQxaWXcmk1I2bDYLi9RG29SHW1RCfZ9GpstS5wbT/dXMo/stnj24qyCMgcREKJlhAfJYaXTPp8V9FbxyHQq7a/S8MmZ2Uq0koL5ykcdKebobLZqe1kUw0oSl1bM4wxLTtV9k4f/0dyh/9An8W2sYlknh+CFyh/cCMDh/hf6ZS8iRT+7gXsrPncQq31+5vhsv7Q8q3k3yfi/eFA+Kf/Nv/g0An/rUp+77+e/+7u/yD//hPwTgt3/7tzEMgy984Qv3ibQ8qvjQJ++3iodNsmN7zCiKeOGFF94RsPBekrdpCj71YoOnT5bZ3o3wXIOFOQ/TvBfo9c7b3dra4uzZsw9lLHIvwOxRPThv1YovFiyOHLBoNpuceu30xFlteyfENO8Qx1lBKfQ87U1xL2ZBGPxg32c4uHmGxf5NrLBLN9fg6uITTA83WOxc10pZaYBQknzU57k7X+O7+3+GVmkR361ocI0Q2GnIXOcmoZ0nsXLU/B2WOjdIhRbG6Oanyftt3NQndgrs2DkMqUFrhbDDUu8aZxdeJB8PMRIfJwkoBZr/7btlFAInCamOtsDQphqDfIN9uxfYLO8lsnIUwi7FqEvoFJnur/PYxst03DqhrcFkt2qHsqr7Hgy04n4++tisRBiZxanBVmn5HklZQKWaK27Y3G4cY5TTdDShFH2vRis3xSev/iF7WleZ7a7Qy+s2bXWwjS1jXjrwMxR3zlOMesSGk+mQp1yeeVoDAJ0il+eeQSg54YPfbhzh2Rt/xsgoEFleRluT3GqcYLuyB0OmGXZBokyHgWsigdjK0TYsClEPNwk0ZzxXZ+SWuTF9kvqdHUSWoiSC9apuUQdWnrLfZLFzk32tKxOf9CRrR7tRn+pwl8RyGNudCKXYKi0zPdpierhBkIEg3SSglZ9h6JQxZYytErzERzvSuRhpSinsMnAqWEErA2xB3ylTyhZigVPAi0aTSxDaBXLxiEIyoJgMkYDERKGwZMSJndfGVxgrSdjzBse3FAPzbXDjIyNH6lQwMxoh6Hl212tQCVoMirO6q6MSZvp3aaJuMMSyqnTxtCqcAmm6zAw3WDjzx3SsCvXGiFTqhVS+s4nTTZnZOYHhvED52ZOUnz15z+Oq2P2jr7H7376OCiMwDTrf+gG9751m8f/yP2LXq5PPjt8XPwrJezAYPDLA2oNwWG8Mz/P40pe+xJe+9KVHss83xo9s8n4YtHm32+XUqVNUq9WHtsd8P1KmlbJNpfxgQNrbbVcpxfXr17l58yYnTz4ORpXVjYCZhovrPvihGN+sj3LuPVZZe1CsrKxw6dIljh07xvLyMgCWbTA75bKxFZK+5WG8yakAieDq3BNcXXxWW45lxg5Pr32bVJhIw2JoVbJKNK8lUL06towoh22GThmUYrukW8S14QaHd86zU1ygWZjDUIpEmLTz02xW9tEYbNH3qoR2HjNNWGpdRQiY696hNtzl5tQJRk6Jsr+rVdKCFtPDTcZWnG4asF7elyUMyWZ1PxJBfbjFbO8OseViJSFT/RVy8ZB81GertMRGZQ+X555lkqDHM3yR6ZHLRKvOIXVVpkTm8S1ILM2jFUrqGagwiK0cieGCB7HlUoj7GColMR0iJ08h7GEgKUXdzP9by26mmaLb5ZknWepcJx8PGDllNsvLbFb2UQ1aCKGPx5YpoZVn4NXwkhGWTClGPUInz1ZpEUMpNip7tXc5itDQ1wslUZal8YVZgswJjcQfS5n2vBqvLv8kT2x+DycaEQqXK7NPc332CS3kgmK3tECztMBzt79Oxd/FIsFMJBJITC1FG1geAq3gZqYJu6VFevkG870VimGHFJvdwjw3G8d4/vZXmettE9p5QkNz8yPTpRh2Obh9lrNLH6dZmMWNR0RZ4n987SV2igusNI6QGDZ2EhLYeaSw2Lt7ETurgg3QwLiHiIxz8ZZcbT02aNO25xl4JSyZkBomvq3xCEO7yFZxCVPG7N+9SHm4S4SFQ4KRptS7q+RHbWLDzoCbMcWoh+lYNBbKpEmPYWBiCEG+YDPdWYdbN4E3z1/D1U1aX/k2ZiGPc0A/6zJOGF64Svub32fmb31u8lkppb53fgSS918nL2/4EU7e71TJjlHahw4dYt++fQ/dWv4gNdMflGjHzmW9Xo99B57hz7/ls7a5QppCvWbz8Y/Uefx46U3HP/7/R00Xe+Mx3guce/bZZyciBKAL6sU5j14/YjhSkwSe5eLsQ2/ejznhOmcfzj5oyQRDattObScpSQ1L04aEIMxaok4aEBuuVgNzChh9yfnFF/jIra8igdDO4Vt51msHsNMAJw3Jx0OKYYfALpKaNhKTK7NPc2LjFZ5c/TYCyVZxiU5uWrtvuVVS09LCHkKwW5zPvpgG17lJwOHt08z1V2gW5kApQqfA5eknme+vcG36SS7OPQumpRlvSiPdJzxkYWKnATEuWrzFvKc2z6pKFObYflJkr37LBZloYxUx/rSu4FPDxJQJvlXAVrFGfCuFhWSxfY2L8x/l2uxTuNEQ3ykxdMvM9FeQiImgiD4+RdfT17k22ub03k9iyBSESdnfBcBNfJQQOJnXt7ZBNbETHycZkVi5yXeWQiCzGW5kOpyf/whPrn6HwC6wMnUMLx7hJj4Dt0Kjv8pOaZHLs0/z5Np3EDLFzfjZPaeEgcrEfaDnaq13J43YLu/Bt0s4aYAUJkOnRGx55KIBJopCPLzvdlRAtb/Bs3e+zu36Ubq5BtP9Vfa2r1DrbyCQOGnEVmVZL5SiPvubF7Xq39jpZnKt1H1J+UFvmofhaktMGqNNWrkZdgtzWCpharBOKWhzceppjm69RsXfpRh0iCwPW0ak2LiJj4nUOJA37tewsZtbLJo7xMLWoDmh9RCsiuZlqzRFxQnCdRBCMLpyi6Q3IH/8LmjNsC3Mapn+qxeY/sXP3vf++atM3ONjeNi2+V8XO1D4EUjeb5V03wqwJqXk0qVLbGxs8PTTTzM1NfWA337r+CA0099qu6PRiNdeew3HcXjiyY/wv//hFpvbIbPTLpYp2G1H/MlXtynkTQ7uu/+mG692H3Xlfe/24jjmzJkzBEFwH3AuTRUr6z6tdsRuKyIIteXfuBv84NM3nvPql7mZREjrHpUmYbBVWuLocBMZm4R2DilM8lE/c/KySYVgtzDP1HCDfNzXICSl6OanWKkfpevVObp1imLY5frME6xXDmDJiKFbJTEdDJViJRFDt8x06zqvHvwZbtePUR9tMt3fQArBbnGB/bsXqAYt3NQnsPOsVw4wdCugJKZKKYQ9bBlRjLqamKQksWFldDQ9/ySj3imlKAYdAruAkUQ0/G3yYY/ALjFy8gw8W7ewpXawSoWFEJpOJoVBYtiT7ymEQMkEK4mILDcTftGCHG40pOdWWQRcGRCaHpFh40rdFZnt3cGUKbemjuM7RZQQ7N89z6Hts2wVl6iFLf5/7P1prCVpet8H/t7YI86+3v3mza2ysrKy9uqu6k1NskmKVnOaFsa2ZjAzgoSBRoIwA1sDEDOQBGMIA7bsD5b8xR4YGIj2WDAwliVbNk2Kokh2k+ytqjIrK7fKPfPu9+xb7BHvfIi4J5fKrMqqymp203yAi6q895yIOHEi4nmf5/kvEgU1Cam5HVQZ42k23z/2KwwLbXytkJnBlBbxVRtBStXt4RlFdDVzPhNScnbre/SKy3SLy1m1i4Mg4+BXo4MMzFU/zcBqUvO7jK0qVjRju3qM9mSTiVVlapS5uvgGTjhmrX8dPQkZW1US1UJCrm6WnWeRxNTdfXrFRWZmhTTSSBQVXy/QmO1i5wnt0TVkCgwKi5TDIa/d+wOUNCVVVDzdYWQ1SITO4vgeJw7eRypqrktgcr31Msc6H2CmIYFqIYUKSNQk4+N/UjxOLe3wd2OzRi3o03T3aLoZLiAWGrfrz1MPupSnY/Q4yMF3mWCRrztU3AQzfbw6G5pG6gcoRQfLVEiTlGTsojo2hVeep/vb32X8x+8Rux72xgr1X/jKAwvqRw/+oyvxZzm2+6zxqKTzk+LPK++fknhchRwEAefOnSNJkieitD8pvggHsMdtt9frcf78/fnx+5cn7OUI9cNZ+fKCxZ1NjwtXxh9J3ofb/KKS92w2m0vGvvXWW/ORw3gS8z//q8zDe3c/4O6WlwHWyMRWVEXmc8BDudKPPq6kUEH96HjhdvMMzckOrek26iwBkVU0O/oRrGiGr9n0Cwt4RhErmhGqFsgUzaqx1r/G3cbz7NSOkWYeWySqQSR1Sv4IRfpEqoFrFEFKzh/7BRAq3eIyveIit5pnaY/uopFyefENCvEMJU1w9SKeWaY+26Vnt0BVETKb9Y7sBhWvh0gT9Jy7nWlpp/i5WElttEViOihpwpm9H7E43sx41cDErvFh82V26idIctMSISVaEhKp5vz8yXxmrqQJWhKQqDpKGqPk7XA1jXDNEnu1Y6wPruNEMwwyffBAs/AMGztyOdK/Snu8SayZ2fuBFEHT3ceOZuhJiJ4EqLmn+EH5CLcbp3lh9x1cs8x+aY1E1TAR2LldqZZGGLGPQNIe3aXiDzOEda7Iln0EQaIotCfbnNp7j355mZvNF9mpHWNi1dHSTIRlalaZWDVCLVscXFz5CgelNV67+68ZW3VqwYBQMXM+etaeV4REpDGn997hTj1bmCgyYXl0i43uFfQc9PVo2plZdXQSRnaDqVFBlQmJUEhVDZGkVN0DKocCOGlmvCISydSq0C+0cMYeWhqTimzxJEgJFAMtDXlSGnnwTnjcYsJIA3qFRbQ0xNMcAr3AbmmVI6ObxEJlbNbQ9Cg34RGEqolKytSuYeX2uI/uT1FAX2iQjqfEk6z7oJVLmGuLdP7b38K7vYlaLKDYJpN3L+Fev0vrO7+AVi4SHfQwFrLiJw0jktGU+re+8lBB9bRV7xcZT1P9H9qHflbL5J/G+JlN3o9WsoPBgPPnz9NoNDhz5sxnvqA0TSNN02eK4ob7bfNDY5Hr169z+vTpObF/Mo3z1z28T9tW6PYev6J/1m5lh8n7cGGxsrLCqVOnHjoPv//HXa5cnyKAySwmTfNZnszsDUUcU45GjKxaRokC7oO04HDWG6sfFVWYWDV+tPGLnNn5E5qzfRJFZ7d8hO3qBmW3Q1xaRiDx9AK+XsgFTxIURWdhuo0Q0CmuEqsaCQqeWSEVAl+3ci9ln9C0mFlVEkXBjH3sKCZWtflMeqV/k5vtl/DNMoqMiRWDit/DilxK/oDQLBDqDkbss1M5RmuyTdXvoaQRdjgjUTU6hRViReOle99jZpa4VzrDc3vvsjq8ydBuIoWCHYwoe32e617AM0t4RhEtiVjpX+PmwktIoRIdXgu5CxZCUPH6TK0qsarPH9axYqBISc9ZJFE0JnoFVCXj2ScxlWCAlkZ4WgEr8YnJknOYJ8G6e4DIQVL3v+msEn1t63u0J1tYkYdvOBwUV9itbkAqsaMpY6fF2KphxB6xahLoNme2f4CvOezWjuPrhXmVfnr3HSRwZueHqEnMVu04gZ4tsGtuh4PyGomiZaOROGBilnGbL1B1D7CjGZ5emLeMhZSZvrpZY2LVcI0yFbfDwvge7ckWehIwdJqoMhOLSYWaARlliipjYkWfMwWkomaKbICWxqhpRNkfEKoGUtWz8Q3Za08cXOCDhTfRgPZ4c442D1WTG62zLEy2WJhuP/7+IgOtZcn+vpSrJGuZB8Kk7u4ztSpM7DpmHHBm/x3Gdh2RJgghiFWTWM07VjJFSpEvVj8aAkDRCI+vIqIY1fMxi0WKJ44Q3t5ieuk6zon1uayp3qzhXbvN9OJ16r/8dbr/0+8zu3IToSjIJKFw9jlq3/xyfklKZBT/qbfND5+pf155/xTGx7XND3nOm5ubfPjhhx9RIfsscXghJknyqQ1KPmm7URRx8eJFut0ub7755kPKO5WSnu9XPpTAXTfh1PHHqwc96y6Boih0u106nc5DC4vDGI4irt+aUatoXL/t4nnZ+ZcIZI5ejoVKpBgoSUKqHepFifl8NjNLOKwqPxpTq8JO7QS3WmdR0wSBxNeLxIqBSFKUNM4NFoA0RpMpdjBkt7LBqf33WBncxDNKuEaRO43TjOwGvl7Mqrnc1UrmdKdAs3HCCUacUPU6BIpBrKg8t3+OvfIRAs1kyb1LfbbPlaU3saIZ1WDATvUokWrSLS5zfvUbHOteZGG8mVlC2g22K8doT3dYntzlx41vUXZ7rIzuEClG3g4XRJqDkqTUZ/sc7V1CCpWq22XgtEAqFIMBnlEiVDOdcZHGWLHLRvcyV5bewDcKuWFJpnNuRi5js8Kd+mka3gEIJUMe69AvLFCdHSAUhZFmkYpMD96IfRqzPfQ0A2DJPLEcznCb0x302GdoNVDNhKrfp+Z2uLrwGp5RYGlwi29d/G/Q05DALKLIlJLXY6KXeWX7j6nP9knUTOO9Md0lVgwGRo2ZXuSV7T/iuYPzbNZOcLt5hk5xOUv0MlNfK/ojpBDMjDIfLr7OL1z5b/lw6U2Whneo+D1AsFda41rrFRLNoF9YmHct7tVPUQwGHOlcZWqUuFc/xU7lKHoa0p5sc7RzETMY0XfaucCOmYupJDnuIkIlRSQBvqLNtd71MKQ12yE2ba4svs7QaVL0h6SKytBucrf+POVwDE9I3hKIVBNNRkh5KJMLQkg8vYgeZXP/WBi0J9skqka/sIiUoCpRZs8qMutVZJphPjSHxnTnifd0bBZo2w7qC6t4gY/neUzv3EObehiGjmmb8yQghEBrVPHvbrP8f/63cY6vM71wlcT1sY+tUXr9RdSiw/idiwz+8IeEOweElo7cWEC++eafikjL4fPv02qb/1mIn/rk/aQ4bJtfvHiRTqfzETDV59kuPPvkDRli27Is3n77bSzLeuhvJ446LC9Z3N3yaDcNVFXQG0Q4jsrLZx4v+P8s2+ZpmjKdTgnD8LHnMkkko0lEGKUUdJXBMMTzsuQqZZagU9QMFa3oGGlIhEYyp0XB/ST+hJASK5oxNStIoRAIhURoBLqNHmuEedIXuaWmJlPscIoV+QzsJu+s/xxHe1cpBUMmVi2bx8YhqaKhyDSrUPJjkQi0NGJmVVHShECzSITGqNDmROcCR3uX0NKYsVXj6uIb7JWPUPAOeHXr+yhpTKe0kgOjilxefJPd8gbtSdaStmKXfmGBod0gESpVv4uehPi5fWSqqJBIWtNtpKqRCD3rJlSK9Jw2Rpppv9dn+/iaM7ecdKIpZuyR5Mp1qaKBUElkQmTVmFoV3l/7Gkd7l2nO9ghVi25hiVC3ePXeH1IKRhSiCRJBrOiMrDr7xRWOjG5w+A3KnMSlkFIMRmxWs+o4VTWmVjWTBHU7JBLscMIfnvrLvHH796j6HaRQuFM9xYHZ5KXe+5zqXJh/3kCzmZhVnMRlp3oMLfe4PnZwkcZ0jz88+R1EcQktCRBSEqvZDD1SdXqFBapulyO9q1xrv0ySgwAzvXwTM/I43rnI0G4wM8uMnAZrg2u0p1v8q+f/HSLNys6bksmM+rrDxsEHqGnExKplKP18FDK2aiyM7mX3Fyl27GLHbn59ZveaFbmMnSaDwgKDQuaJEAsNIcDIwXRPiolRoRwOM5S6yISNIs3IAYQGdurjmZW5W5odzhg5TZZ7W3SrRzBjFy3JtMgDvZAJwSSPl3OWwLC0wJGNVfw729i2hRmEUKnCay8y/tEF9ra2EbqG4zjYto3i+hi1CqqpU3jhBIUXTjy0zeGfvMfub/4ziGPUapng3i7ppev0llZpfvvnPvazfxHxtMn7sG3+55X3T0EcmodMJhO+8pWvfCQZftY41Ph+lhXtcDik0+lg2zZf+tKXHnuhFRyN7/zyIv/6j7rc2/ZIE0mrYfC1L9fZWHv87P5ZJe8oijh//jxRFLG+vv5Q4g6jlHffH/L+pTGTacLufoBjK7heSpTIXHhCZAoTeVtcIjCSAE13mIYw1yc/PFbl8TdayR8Qabkfc+IhpGTgtAFyXXMHKUQ260VmlYxmEjotDBmRKBo/Li7ldpspWhIRamYu0SryxC1yf2klq17igFgxSFVjPrO+svQm1xdeRUsiAt2eS2zOrBYTq8ZG/yprw5uEOfr9VutFBCnd0gqhZqElEXY4pe+0M/GO8jqnDs5T8zqMaBArBnY4w0hCzHBE0R8wM8tIYHVwg77T4qB8BDXNuMiClLFVx4pcNhvPcaiPfl/0Q6CkEUoSoqYJYW4dCmAkPkvjuwR6gYHdpOF20JMAXUZMzTKdwhLro5vZIgwxb+kCKGmcfXYhUNKURFFJFJ2y3+OF7R8Q6jYflFb471//W1i5HnqoW/zS+X+MFKAkMWou7KLHPkqc8dQr4YhE1QmlRaBZ7BZX8/MWYiaZQ9rUrGa4BUWlOjtgr7DMkf5VlsZ3GdpNhEzpFpe4vPQlplaVYjiiNd2mPd1m4LQIVZMfHv1FdqrHaI83ccIJahozM8tcXnqTAIMvb/4rdqpH6ZSWiRUdI/FpTnYoBX1SVBQShEwyjIbMmtMRGuuDa5wvLrFT3sjtSQWxqrM0ukPrY6ruDNyYMLQamGmImsaEqkGiqEQoaHHIdvMUZb+PGc2ItEydcHF4h0I8Qx/doVNaxjVKaElEzetQdw8e2zI/3Gdaa7D2f/s/Mfrh+/i3N9EqJUqvv4h1dI17/+D/jXdvF9Gq4UUh/a0dkr0u9vNfR9/ZodFo4DjOfcfBMKL/L/8IkNgnNwDQLR3/7jaD3/8+la+9jv4TdhY7bNt/UrfVdV2klH8+8/5JxuO+lH6/z/nz5wF4+eWXn1niPtzfs2xHb29vc/nyZcrlMsVi8WNXiAstk7/ya8t0+yFxLGnWDXT9yfOkZ3Gcs9mMd999l0KhQLPZfOj4pJT8qz/s8KNzQ2xbxTIVVBXubXsEQYKUGeBJpPm8O3/0m4lHbbrP0LaxohRftSCvypGZScfjSvCy32ds14k1gzRVidWsalPSOG8TZwYoyDSTE1V0ImGjxCEyUSkGQywhWBhvUvW6SCQfLH8VNJG12oUkVTJkcKzquUY2QNZuLfojxk4DkHNhkAdOBgjBduUoShpj5w5mrl5gZhTxVBvlcDSAyBJR7q41tSpcWH6bV7e+hxNMcg11hUFxgZ3yRkZpiwPa402eOzhPz2nzB88vMTUrDAoLKDLOwF9JwtLkHjv5MWQLEmWeGOxwhpVkQKrDz1b0Mx/rfqFNoDlIVceKZuhxQDkYsldaJ1StvHqT86a5QBLkuAI1iVFljBH7lL0eO+Uj/PDYL9Gc7iCQ2LFLqNuYkctrd/6ApekOmpBIJQMuRopBgoITe7i6gh54HJRXSa06TjhBagZLozv4ukOo2agyRY09IDOuKXtd+pVVStGEQpg5fx22zQ/pT5u152jMdjHiAE938CpHmBkV7GiKHbukufFKIlQ8vUivvIxEsDq8xdrwFimZbKkEZloRK56Siqz6nauoCY2BWacx3aMx3WWzfopILaPkjIJj3UtzMOKjcXi1HxRXaLu7qJGHVLSMJeA0mVhVGsMtjnU+YL+8Rre4jBXN2OheQUoYOk1a7j6FR4RfHlSoO/z34d0lgJW1Ika7QetXf/4jx7T4f/g1dv/rf06wtYuVpjiWjf2rv4jyS28xGAy4desWuq7TbDazRO6FhPs9jNZ9nwUpJUq9TNQfE+4c/Kkk76eliQF/3jb/04oHwV6nTp3iypUrX8h+ngXX+1CSdXt7m1dffZXBYPBUcq5CCFoN8xNfB58fsNbtdjl//jxra2s899xzXLp06aHtHXRDPrg6oVHTKecz+VfOlDl3ccx4kslNpmn2oM+APnEGNooyL+alzjXSOCHSTPZK63hGCcQhCv0w7idyRSYUvAEIJUc8w8SSRHnFp6XRvP0dI0mFhhSCVDNJZUK/uIiWhOiRR6BZ9J0WvqLTmu0RqQZqEhLoBaZWbb5vVWbWnEJKfKOQiYcYRdQkyAVQdNL8mM1wysJkCy0NSYSKaxbZK67h6iVULaE52828vclsRJU05tj++3SOr7JVO0miaKwNblD2+wzNBlcW32CnsoEVe9RnB9xrPk+qarxy5/dIhELN65KSocnXejeoBQd8sPR2hjCXCVY4IRUZzCzUbE50PmBUaOPphTk/PFRNVBljh1MOBwZTo4IwUuwoa2F7egE1zQxDsq5EJiozsurYsctUvS/80S0usp2booycNqFqsjC6i5AZet5IQzQhUdOEQMuQ4XoaEakqSpLhFUalZVKhEmoWRhKw0bvCWucyikzYrxzJ5vwiM3Gpugec2f0hm7VTVIoD3NgjFeqcA5+qGZ3QLzjslY+gphG+XqToD6jP9gh1BwR4egFFJpixjxl72eJHUZFpOrcrObzjY0VHBaTMXO4kEGsGsVRp+R1+sPFLrA1vUHMPmJrV+Ux/YLdw3AH1sP+RpenhokgR0C0sEpeNnFqYZJa44Yzd6gZHxrdY7d+Yq8/Fmsm92kmODK8/9h5+WBtAPrQvgWT55fUn3v/Ocxts/D/+L8yu3CT1fIylFvaxNYSisE6WGIfDIb1ej2vXrhF0B1iTMZZMKJo6up5pr4swRhg6ivV0z61nGZ9GXU1V1Wda6P1px89M8k6ShEuXLtHr9XjjjTeo1Wpcv379J8bJ/jTxoLHIW2+9RaFQYDQafazC2t0tjzubLnEsWVm0OHG08LFVN3y+tvndu3e5du3aQ8C0R7fX7YW4XsJCM6viDh8UR9csev2AJJUcdGPSHLWc5ohcTUYYSUBg2KQ6GElIxe+hpRETuzGfHR5Ws4dI76lRngPLrNil6A8ySphVh7ytGyvaXNBECjEXAgnVbNYcqQYjp4k58TnSvcK5Iz9HT1miMdtFlSlaOCHQbCKjiJUneS0H/4SqTTHsUoimeEY2G6u5+zSnu2xWNjjav0bd7WbVXDiZm3SMnSaxajBwWihpmku3hpiJT9U9oDneZFRos1k7wWbtJEJmiwUtTah5B4SajRSC6uyATmmFD1a/TqA77Nh17HCKnoRcXyohkQxz21Bfc1DTTDI1UnWM2OdY5yKb8hS7laNzFbCxWeNk531WBzfwjVI+28200rfqJxBSMjUrKKRZUpNZ9XlQXOb9tW+wML6XeWYLhYHd4G7jeVSZoOYLtuboDn2njWsUMSOXUjDKePx5cjUjH6TEiF0OqWud0ipmLkfr6Q4SQcdZ4JWtP2Zztke3vEqoWtSnuxzrXiZRVFzN5k7jeRZHdymGExIUQtVCCwNSoWGHM1yjRKg7lP0er935fULN4NLKVxkrGnpuUTrKxw/rvSukEhRURJ6+0xwLkKG/QYU5d9vMx3QDs8aVpTdI9lVWh7ep5aI1E7PC+6tfIxIq9Z0/fiwtLFAsql6XsVWfX7up0CiHAyZGhalR4U7jNO3xFkbiE2g2B+U1IqFS9npPvJczs5P7MUexGyb2sSMf+xxQCzblN158/N9UlUajQaPR4OTJk3iex63rO4z/4IeMAg+t4CDiBHYOsL72Jawjyx+7ry8iPg3Hu1Ao/Klz0p9l/NQnbyEEruty/vx5FEV5COz1WZzFniY+Tzt6Mplw7tw5isXiQ/zoJ1XJUkq++4M+f/LjPp6fIgSoiuCF50r86i8tPFEe9XCbn/Y40zTlypUr7O/vzxdBh/Fo8rYsBU1V6PZDBqMY14sp2CqaJthYKzAchRx0s/OfKjoosDDcwo5ceoVFzNgHkeIaZazI5UjvQy6uvI3ljwmMIvLwRhKAlEytKnoSkSoqU7WKrzuYkYsdTphZVWLFACHnCRJASSOQkGgWvlHKKE9pgqsVuLP+TZbGm6wObuBEU4Z2g3u153CtKkg55zX7eiHTxAbMNEZLogx9DFTdDquD60zMKr3SCrvVYygypeYesNa7RtM9QEtjAtXE0wtzqpGagKcXubjyVaSi0Zhm1f/ErmNELjOrRqqouZFGpv1dDIYMzQa95TaKlLTH90gVDV+z6RaX0GOPxuyAbmGBij/Es6pEio4mY3wtA5WtDG/h5d0FO5iyNLxFKhSuLbyKa5QoBGOWx7cphJNMSlMzSZXMfCSr0hMSoXG7cYaD0iq366coBSOcaIqv2kztejYTjiMiQ6dfXMzU3pAUgglGknGUEzXGCjNecYqKRkSk6LhGmUKQIcm1NMIJxozsJoqSYR7qbofFyVZ27ZAloUAz0XNVuVvNF3LMQ6ZZVp9tUw1GGYpfUefa6HrkslM7Qc09oFdczClp2TjjaO8SFX+AiiTUDER6aMMJqaI8YaiT3xOxR6SaXF58g4PyOk44JlYNOs4iU7uRYST4aDs7BWZWiasLr3O8e4Hlwc3Mb10o3Gy9iBNO2ehd5ebSa+yvrKLKFCkETjDm1MF5HvcUmFfdipJ1EFQj37dESWIi08E7cQYpJeFel2TmYrQbHzEXeZoQQuA4Dqf++r/NrqIx+eBDwt6EmeuSLDa4e6zN+OLFebK3bftT7+OzxNNS1f6sgdXgZyB5R1HED37wAxYXF3n++ecf+qK+SCnTz7LdQ2ORjY0NTpw48dC8/knb3Nr1+f47A2xLZXkhW5R4fsLFq2M21mzeeKX6xP192sr7sCNwaNLy6A2mKMpDi6G1FRtVg3cvjAGJIiDJ8+Y33qrTH4Zkj6X7n9MJp2x0L/Ph4uv4upNLaAYsD29jh2P02EcoWYWe5DxwJYlQcv53NrvNLCsjzcKIfdQ4oBiM6BWXcsvKlEhRCfUCapoS59QZRPYwnNp1plaFY90rnNn9UfZ61aA+22dpfI8/PvYrTMwqE7uOmkZoSYiWa4hLBCO7jiCTce0Vl/GMMqFmUvKGGKpHqNl0iisoacyJg/MZwEtRQYhsVq7oBFqWLBajazjRlECzcM0yoWYR5wC4WNEIdCerhoXG2KoTayYSWBzdwYo91LxKn1gVes4i++VVzCQiMgpYsYuSJhS9Aa5R5N31b6LJzD89ERlmwDOK/HjjFxlbdVQZo8iUndox1npXccIpWuTl501lbDezz5KmBGYBPQlo+CO2mqczxTiZoKYxFTcmFQoHlXUkIm/RC7ZqxznRuYAa+5hej5lZRkszitNMLXNl4VXasz3K08G8DS+Fwtiuz2fFC6N7TK2Mnx8pBmoSZ0I4QlJy+wwKLSJVB5miJwl2MKPgDzFkxOJ4M5MMFSoHlTUmdpUz2z+gV1piZlYQUlKb7VFzD5AIIkVHkXLOYlDTrGMUqvb8ij5UIz9kUluJT9Hr0y2v0RUKFJcQUhJoNlY0Za13jYHVouIPUMgXtmiMrBp6HPBc9wIXVt7OXNLSiFCzWBhvcnrvxxhJiLPj0XMWiLUMRV93d6kE44+9rydWDRXQowyHkaKQ6gW8+hqzgzE7v/+7TC98SBqEaJUStW9+mcZf/DriM7Bp9FqFtf/r/5HZh7eJOn12RgO0Y6usHN2g1+txcHDA9evXsW17nsir1eoXVvF+Gl3zzyLa9dMcP/XJW9d13nzzzceiBH+SUqYfF1JKbt26xa1btzh79iyLi4sfec2Tqvm7Wx6el7DUvj8vsi0VXVe4emP6zJL3dDrlvffeo1gs8uUvf/mxNLhHt5emkjSWhGFKGKXzLrdlKly8MqE/jD4iFeXpBYrhiI3OJVyrjETBjD0WJltcWnqTRNGw4ymQIaEztSz50MM8k1BVkDJzchKKwemDc9jRjGGhnSUMJfMtjlWdNJcQfdBUxYp9Tnbez4QsRCbIEik6TjDmSPcql5ffJJVKBmLK2/5KEuEZxaymEwqR7hBoNrGiU58dzPm5TjjJ2s1WjUArEB/O8XMU+CGqHSTd0hpn9n5Mr7hEY7pDv7CYyZ5KSaQazMwyahKhxz4Dp02aI/WtyGVq1/LtpnniTVBlStnr4uuZ05dULTyjQGXWo1dcpjndoeHuo6Qx3eIyHy69TmO6h57Ti1IEe+UjKGnMRu9DFqf3mOkFSsFoPgpQZIoah8SKxqS4gCpj0tyvMlE0xnaDojcgFVq+8IlIEYSaxe3maWqzXWZGgYqXzX6louCpNlrocatxhhOdCxl1TncYOC16TptCkBmpmDLE9Dq5aErmZR0jKHl9DipHWBzdwY5cUgRDp4Wn2RTDMWO7wbvrfwEjDokVFS0J8fUCVb9PfbqHE0zQ0oiS32ds1SkEI7rFRZqzA4zEn5/nUDNzARyBl5uRQIbHsKIZIDnWu8TUbuCamXmOFApaEnGkd5XF6SaDwhLbtaM4uTSrq5dwwgmm71EJb1PxuhyUVolyAaDGdJexXsJKQmp+n5rff+ieepyk6uG/ExRcq8S0vk7N76GFLpFRYKI6aI5N+Hv/muG1KxgrbfRWnag35OCf/jaKbVH/hY+akjxNCE2jeOYkAPtXr6LpOsVikWKxyJEjR4jjmH6/T6/X4/LlyyRJQq1WmyfzZzl3/jTJu1AoPFPhrT/t+KlP3gDlcvmxbldP4yz2WeLTJO8HjUXeeuutJ1IRntQ2T1P50F05mcUcdAJ29gOmbsLNOzOOHXEee9E9bfJ+FJj2pAv40e3t7vvc3fawLUG1YuQ0Oph5MXe3fQqOip6GRMr9hcd+eY2+s0hzusMkDUiElllmqgZb1eOkqpb5IGvZ3BZy4Yo0zqQ/NStrjwNSyahCRhJwt36KF7e/T6g7+LqNksS8v/aNDASXO1Jlbl0g0oTF0T0WR3eREowHdJ8j1UAlwQynpKpOoBfnLfhU0bKWd86hTlKBl/890EzseIYVubkCmJ8jlwvEmol6KHQiBEqao7aFSqxZiDSi6nWZWDWs2GNmlNFkghH76GmEpxfoF7N5YXO8RSEcMzUr2OGURNGIFZ2pWaUQjNGSkOZsj5lRyfjXipoZtqgaBX/IyG7i6w527OHqRSZWjcZ0Bz0JCHULRUrUXIrUNQoEqsXy8DZb9RNoaYKWhvhagarbZbN+EtesoMcZeC9V1KxSVQwmTgM7yhYxiaojpKQQjLlbP82Rg8uc6n1ArJm557aKVFQUReAaBd458vM0J9sgMqCdZ5Y42r1MKlQCIdDT+H4bG8HtynFuN05zonOBvcrR7PtHUvKGLI+u0isusza8wdrgJjOzhJ746EnIOytf4+LSl9noX8WOZqRC5V79FHdrz/GN6/8jkVC4U3+OitfPK+5MIa7g9klz4GEWkgSFVKhMjDKpYnBq98d0ymvMzApG7LEwusuRwTW6pRWWJltErpYpo0lYGd1ClQmBYrJvr9KY7bLRu5J/PpjqZXZrx6ntv5tdv/O9PjC/JlNoe1RaVQpB5FTRZcxB6wSqCmmSUuxuMaluIO/dxdpYQbFMpJSYy238uxHDP/wh1W+8iaJ/vhSQJMlHkrGmabTbbdrtNlJKptMpvV6Pvb09rl27huM480ReqVQ+V1X+aQBrf942/ymKP+3K23Vdzp07h67rvP322xjG45XQPm6bK4sWuqYwdWPiWHL1+pSZmxBGEtuK+P/9j7v80jdbvPZS5SPv/aTZ/IPo/BdeeOETjegPLUEPf/rDgJkb49hZZRknKaoiMDUFQo9iMiYNQkZ6mUQ1s7axYvD+8tuc3vsRda+HKlMmZpUP26/imRmNZGQ3aY83KShjQs0kUG1UmSHVUw7pgdmPloRYwYTd2glmRonVwU2K0Zh7jVPMzBIyn5cjBHqeULU0JlR1rrdfZpiDyBYmWTIvB8McwZ1yrPdBZp6hmexUj5EoBr5eoBiMUZMAqWXOZUJKXKOIHc2wYxc9DvD0AoVgTIQ257oLJEIePmwz4pEaT7nVfpkv3fodjkUzZmYFT7MohBMUQJMJM6PMzdaLbNZOosmE9d6H7FaPEqv6XGVuYXQXK5pxq/kiAoGehuhhBqKaGmV83aHuHjB2mgztBn5aIlQNovynEGYCLxn1LkGVMbcaL+DqBQrhhDO7P2JkNwhVi+XgNk405Ub7bNZNEJAKDTWNccJx5lqWa6yXgkFGw5MZpNAzSjjxjE5hAT2NmRklYtXECcac6F5icbrDhZWv0C2tZqAtJI3JLkvjuySqxlblOFbs4gTjXEkMplaViVHFilx+4ep/hxApU6PCzdppLi6+yVfv/S63ayexYx8nmtIvLDDVS4R6MUvW9VOU/QGxojMoLOR2prnVqV5gv7yKHodU/R565HOtdZaX9t/JKGY5ml+VCbGicW7tG9xrnsaMXJbGd6l23s/u7zggUQ3GZo3FyRa6jGm4Bw/dX0JKZnaVYaGJE05R0xhXK6ERM7Wq9+9bHk7gsdAy9becyjbfHoCqMjj1Bmv969jjLUKhoScRYbNN8sJZ0ru/zWw2IdrrAKC36ujNOtFwQjJzUT4nteuTjEmEEJRKJUqlEhsbG0RRNK/KL168SJqm1Ov1eTI3zU+HWP9fq6MY/Iwk70N3pkfjiwKsPU3yPtT/Xlpa+sgs/nHxpES7sebwyotl3r0w4t6Wx8yNsUyVpQWDF04W6Y8i/uhHfU6dKFBwHv66VFWdi9U8GmmacvnyZQ4ODj4CTPukY0zTlDRNKRU0VEXQ6UfINPOblkiWejf5+u45SuEIP4KB3eTDhVcZOm1AoMmIcytfR1NASyKmVjVrTedJ1tcL7FY2KPmDTC1KA1+xseMZduQS5/rWahIicx9rM/bpF5foF5fu22sKgRm7BJqNkma0Lj3J2ssju8luNcKMXDyzyA37FXzN4ezO9ykGQ4rRBDPxKUQTAtXC1UuMneZ85q3m1DcljYkUDSuKGNoteoqKgsSIfdb611ga3eBc8nP4OSBKkfc7F1oS8tzuO6xONrFiFyGh7PWpIBFC4moFPKNAMRjwyub3SIVKt7DIyc4FTnYusFU9jq871NwOS6M7fNh+JWuXKzp6EhLl8/FUqNRm+4S6zXr/KnWzmjljKQoTO3PIGlt1nGiGkAmeUaDsBUSqQXO6i8jNO6qPIJpL/gA9DSkEI4RMM+lQJB4pR/pXub7wKoFmo8c+UqjMjDK12QGN2R63689TjGc4QcbN1pIQLY2puh1euvddXKuafcdpQn22m4H+NItAdxgU2igyQU9DWuNt1vs3OT74Rzi5racA9KTLorlN32mhpJLTB+fRkii3J1WYGmVutc9SdfcphuPs2hSwOriGAP7gxK+xNNthZXiLxmyfULPYKW/ghBOuL73OsLTM23d+h0IwBpnx+a+1X+HK0ptU/D5SKOxWjuCEE5xwihPOOCivUJ3sfASsdnjMkaojBTjhjEB3kELBiANmZhkzcplpRQr5SOnwPSnQtVsseHsg7/O3D1+g10oor77Kvf5RFrcuYsymRAsr7K6+zNnnTOSf7OJ5PmqpCAL8O9v4d7epfPV1hP3529ef1lVM13UWFhZYWFhASslkMqHX67Gzs8PVq1cplUrzRF4ulz+xzf20aPPpdPrnyfunKf40AGtSSu7du8e1a9d4/vnnWVtbe+ptPq7FraqCv/hzLeo1g//vf7eJY5sstk3aTQNDV2jVDTZ3fPYOAo5vPPx1PaltHobhXDHtccC0J4UQYp64AdpNA91QCHpRtuaXkuZkm9O3voujJUTVBt7AZ2GcoYO/f/QvEqomveIKJfeAidXio7jbLCLNol9cyv8keW7/PY70rhLomYRo2eujpDF7lQ2uLL4BCIp+pvedChUtDTHiIBcjUUjzGzhUNJCZj7MdjDGSkEI4wdcdOuVVuqNFmpNdDsrr7JXXqXg99CTESENKXh8nmtB3FrJ2tTDQZUBzvEVgFBnbjaztnkY4wYjmeJvt2nNkDc3sAXaokS1kyuLoFkcH14k1g05xGYRC2euw0bvGTmWDWNUIVYvQsTON8+4lYqFhRB7laEzN6xIpBgjyGfVVPlh5m4PyGjV3H1WmeEaRmntAe7zJyGnSLa5gxh5ONCUVCq3JNnebZ4gVjWkcgAArmpEIjWowYKWXJbNQGBxaXKQoCJmy2r/BoLhIfZbN0AdOi7HVQACv3fkDJladTmklB+eBnnucG7FPORjSKa8ytmooMmV5eItAzXTVq8GAip+B1g7xDbvlI6SKmrmriWwCYkQBVuxRiGdYMswXKlp2jtOUteFNHHdANRwRaUZmWIJEzznrWhwwsRuoMmVxdHdu3XqvfgotjbhSWsbXHZxwTCpUesUlPL1Iqqh8uPg6E7PC8mQTNY05KC1zr/E8RuTm2vqSWLFIhYoR+xyUVxmbFWrDzY/MqA+pZ2OrSmO6j2uUQAoSVWOv3CbQHb50+1/iqzYpIqPsCYgUnb6zkAnvWCZ4H5VBLR1b5a1lj9+5NuU95RiUQPHhqNflbLXMgRAIVUXRVISuIZOUuDdArZZIRfasUBRl/vNp4/O4igkhKJfLlMtljh49ShiG86r8/fezjsZhIq/X64/tbD6tjPWfo81/yuKLbJs/ySv801azD27zSceqaQpnThU5tl7AMMTcpAQgSTOvbEV5/Mz70W0eAtNKpRKvvfbaU+uzSykxDIPBYMCPf/xjWq0Wml4jTVKEItEUgaLAkc3rmInPqLJCWQakQmXoNKm7+6wNrtEtrjAoZJKmRjgjNA5XuxkAaY56eyDKfp8TnQ9IhJYl5iSjBbWmO9kMV3NINYOSP6A12c6QyKqNbzhEmn1/e/J+aRIrKhO7RiGYcFjDTMwqndIKK8M7rHWusF/dYOS0EKSUvR5Ff8jErpMoOqFqYSQ+K/2bjO0aaRqx3rtCpFp4us3MrPKjo7+EVFSMeIYgzWbQCBAqxWDMwngTLY0ZGtkixoxc6rMOVjxjaXyX/eIKkWoRqyaJUFgZ3KTsdtGSiBiBJhOUxMtU7JC0vH2e2/oxl498lZHTwoxcam4HJ5xwUFrlpc3vMXEa9IpLmLHL6uAWRjRjWFiAVOZ4g1lG1ULgGwVUkX0fqaIic6wBUqIlAYujO9SudQl1G4kg0GxuNs8Qo1L1O/zSlX/CzcYZ9qpHMWOfo52LrA+vs1tYxUp8nHCadUVkSqLoTM0yShJRCkaoJMhUkCgaQ7POj9e/Sdvd51j3EsbMR6QpahqzUz3KyWAISfYtZiI9mQ67kqZUwwEoKmbs42t2LpKj0Jpu05jt4ZllpmaVkd1AkSmhauXt/ylTq8pO9Wgm7YokVExGhSant77P1eUS3coaE6cBCELNRE0iKrMOiWqQojA2q9xqnmG/uEopGKLni6MQHZ3ooeXqTCviagUWp9uYsUdQNtkubrA0usvG4BpG7GLEPrFq4loV+k4blYTadD/r6sQJPLBYzwxNBKQS5/v/mlc8netimVgqtBSP03duk5grWGvLkCYE+13SIECzLIzj6+iOjaqqSCkfWrAfSo0eKk1+UjxLP2/DMFhcXGRxcREpJePxmF6vx+bm5lyl8jCZl0qluYz1x40rD+PPk/efUnycs9jTqJZ92njcdg+9wtM0/Uxa6p80ny4XNY4ecXj/0piio6GqglRK9g5C2k2TlaWP7u/RyrvT6fD++++zvr7OyZMnnxpZKaWcI0K//vWv0+v16HQ6XL1+h8m0QNFWMjqRFNTiIYrjoPkzIhlTCIMcwBWyMN5kateput0cRR1jhdPs4fMxx1Kf7WPGfl6dChJVIVE0+k4L1yyRatnNObEy+8eHD/5Bqlo+cEYQaSb75SPY4YSq28WIfYwkoBSM0JKAjcFVSuEoa3NLiZ6G1Kd7hIbDfmWDgd3EiSaEis2+uUYiNHaqx5FKhiw2Yw/fKJAKhZlVo+p2KOXVZKSaGOGUsd1Eju5kCHG3Q3uaWWsCGJFPI7e6HNtNloe3kAL02MOQIYmiE6gGiaKjpjFWNCMlJTJMRK7IZSYenl4kUC2mZoVucZlXt76XqXblZ6RbWMCOXKxwgibvX3+haqKmCVOjnFOmEsiBdoKMGqWJFN0fMhVKNhsPRnz5zr9iptogVErBiFd2/gR2/uTw7Gec8vZZ2u4BS+O7SCFw9VLmxCYEX7r7+6RCwdUKyNz7vBBNKQdDtstZIi0Eo3wc4nCj/RLP7b0HZMpnGYs5+44VmaKlCaQRrlFGT0PUNM1AcqrB6d13GBQWcM3yfEZfCMcsDm4RGpny2sTM/MMVmRApBlbo8tLODylEMy6uvJ1ZzwJ6EnC0c4nadJfN5mk6hSXsaMbK4CZaEjAoLLDRvUSkWuxWjlD1uliJj0QwM4r07TaFYIgCFKIpx3tXON67rxAZozCxatn16veo+D1CxaRbWKbiHpCm8fzahpygmUomV2/hRg6D4gqrdg8hwJ8mHMwSjNv7WLqK88IpCp5PGkSoBRvv1j2MRm2e9NI0nY/LDpM5ME/gH5fIn7Zt/WlDCEGlUqFSqXDs2DGCIJhX5ZubmwghaDQazGazp+oszmYzGo3GJ77uZyl+JpL3k0LTNGaz2TPf7qNV8mg04r333qNer/Piiy9+pov1cJX7JJ9wIQTfeKvBYBhxb9vLQE8SGjWDb32jifEYtbXHeYSfOXOG5eWnVzo6XHUfrqBN02R5eZnl5WVaCy6/80cf4vkxMo1IEpjZZarTfRQkiiay9mQaIWSCbxQRMsUOJ4zselbp5FzaNInnXOiPfvjHHJgQ6HHEyuAmy8PbJIrGQXmNnfIG8kFjE3nYlJQgcjyuTCH3q47sJq5Rwo5cFsb3sMMpCpJiOCPShmzWTqBIScXrERgFYtWgNd5keXiLWNXpOovMjDeZmmVCzZlbcCoyQSIz6VShMLSbWLGX2zTa+JqNRkaKd8IxZa+HEQe4moOeBMSKRiw0rMilGNxCSyP2yut4ukMxGFOMJkQSIqGRqgJVmniqzcSqUQpGNGf7zIxS5qRlF6l5HT5YeYuV8R0akx10GWUAujih5PcZOG3KXi+jXgmVmVlhcXSXPXuRXqFN092fu8NBSiJUAtXGFAFCppSCYS5sE2AjiBQNLcnwFodSnJC5Zi3O9rAiN1Ovy8VVrrVf4lj3ElJRGJv1zBEt/+4L/pj2dJdRoc1+aRW1tIwTjFHyWXykmphpAGmaVYUP4F98zURLE0rhiFAxiZUMWGcmAVY044XdH7FZO8HUqqElIWW3z9L4Nr3CYma3KQRR7o9tJD7P7b9Hzd3jtc0+p/be427jNKmisNq/QSkYcLPxAjOjlC04ch93J5qxvPN9Qs2mMbrH3YWzuJqT6QYokComvmrRHG0+VsAl01N3qPo9pmYVX5SQQMduszrdxE7uz/ofvGUkEHkhMy+lsqLPu3OWqeANJUPhsFKIGP3xe8gkBU1BtUy0UoHK6/dV1R5smR8+Tw6T+YPPwQdf96B18k9Ctcw0TZaWllhaWiJNU0aj0bzIuH37Nv1+f16VF4vFjzxjZ7MZR458vNrcz1r8TCfvL7Jtfrj63NnZ4dKlS5w4cYKNjY3PzBN8Gp/wVsPgf/dvLnPt1ozBMKLgqJw8VqBe/Xg/70uXLtHpdD7iEf5x8aR22YPRrFusrxZ5/9KYOM5AgzcKz1Hdv4sdjhjbDRApFb/PxKrSdxZyzmuQIXTTBF1KQt3J3JmecCzdwhK+7lAMRnPUrR77LI9vUwqHeHoBAaz3r3G7+QIfrHxl7vSlphGJauZ8W/JkfniCVEgTRG4f6WsOM6PMXmmVldFd6u4B6eg2gZ5Rpv7o+F9iY3CNoj/Keecxrl5kZmTiKgiBFJm0aII+35eahhntSTUJVQOpaGhJQCR0dsvrrA2uUw4GQCbyMbZqmYtV7FPIudXblQ06OQJ7s36Cjd6HmIlPmipIRWOzeoI/3vhlXtr5E5zeZYycDhUrOpu1E5xf+QoKkt879b/llc3vsjK6M0deLw3vECuZbKwAkFBzDyj6ffqVGpcWv8TJ7gXqbhdVxgSqRaKoWWchzqrjSDUz3fgkZGzV8OMCRpIJoqik+WIza3UbSUCvsJgLu6TU3QOOdy7lDmN6RhvLgX1SQqxqtCf3uN18ASeaYUfTjIKmZEj+/eIS9mCGRpIvMLIIFYOB2aThd3C1ImbsoqcBEoWpXqZvtygFI547uDBXLEsUNVuYKAahas31BVKhoqRp1mrXiti5wcuJ7geZK50EPY2p+AMWJpukQqHkD7Ajl1Azcc0Kpw7OM0ot1oa3uFk/neEwhELJ7XPq4Bw9p01lMp53RQ4pYAkaI7tFZTLNFkl51Pze/HWPXd8CESqRVDC9GbKQt4WTGDPy6S+cYMW/RrC1h0ySrHBQFKrf+BLOI1af81smf04dFiiPVuWH48QHDZx+0pKjiqJQq9Wo1WqMRiPa7TaKotDr9bh79+5Dsq6VSgXTNJ+pl/d3v/td/pP/5D/h3XffZXd3l3/2z/4Zv/Zrvzb/u5SSf//f//f5L//L/5LhcMhXv/pV/vP//D/n5MmTz2T/h/EzkbyflDC/SJ53FEVcvXqVra0tXnnlFVqt1ufeJvCJvOyCo/Hqix+lhT0uDudCSZI81iP8496X5Dcz8MSbzzAUqmWNKJJEUdZS3bVXOL/yNV7Y/zEFb0iCym7lCDeaLxIpJnbiEykaZuLhmmXUOJijmSUiLzcenntPrRrX2q9weu8dWpNtpBAU/SEg2C+tEuc0NDNy2ehdZbdylE4po71ZsY+r6rmRxQPbThMQKlLRqE62KXs9RoU2W7XjlP0Bd+rPMTNL+Rx8lYHdoFNaJdJtXtz5EWbsESkGoZ6BrBAPnqP8cSpAJFGmka47xGrW1hUyJRI6KilXF16n57T5yu3fwUhCBk6LiVlFAlbkEXkdEkWlW1rOqWaSkdPijlCoeH3u1J+jU1php3KMmtehNd1FlQkHpVUCzcaJZiyON3lOv8DAbnCveYZOaZWau8/a4AZqEhFoDqf3fpwpvKkmZuSiJwHn1n8OKxgTqSbnVr5Bzetgxh4jq07Z77M6us129ShaTi2zIhcjCRiZdSpuj1QoCEFGl0Mi8vM0tqqkqoaSJiAUJmaFmtelZzdJFRUtzlrYkNGnjCSk7PY42r3I3cYLTMwKahojhGBpdIduaY1iOKHiD3IhH0GomOwXl3H1IqVgiJmGBJqTieuoGqlUcvCgRJFxLsQj8pm5YKd+ksXhbTRiEtVASzK9gu3qMWqTPUwvxEiD+WJByRcoQqZEmoVIM13ySNFZ7V9neZJ5gLtOmbI/4Y17v0ekWShpgkhTusUVjDQiUQyQCTIf98SqwX5xGT18vCc3QAzoT/ibSBI67RNUxneQ3QOkqqGS0G2todVbJFfeo/ntbxKPp5BKFMsk6g2ZfvAhlTfOPnGfh/FxVbnnecRxTJqmxHH8mUFvnycOeeatVouVlRXSNJ2bqdy6dYu//bf/NsVikX6/z2uvvfbEzuenidlsxssvv8xf/+t/nb/8l//yR/7+H//H/zH/2X/2n/Gbv/mbHD16lL//9/8+v/zLv8zly5efqUDNz0TyflJ8UZX3IYXhEK39LFZsD1bezyImkwnXrl1DCMGXvvSlTwVMe7BN/nEXsucnXLs1I04e4JcKwWbtJPvlVdaGN/CFycBukKgmFa+L443ZKm+gxgHoBZLcmlJNQgpRn4rfJ0VhZNfx9SKJqkGScrNxmqHdpD3JJC5XBzfRkjBL3HmyDHSHit+nPtubJ+9YyVylZkbpftuczNVKIkkVDSMNMxS1UAhVk/3yGmOrwXb9JBOzxtBpzvdxr/E8U7PGyvAmpWDIVuVo7jH+4IJDzF9v5AjrO/XnCXSHRFFJhYoqE/Q4INBstuqnuBCOOXVwgZlewo6mhErGIe/lyPZSLrCClIg0xYpc7jRP88ONb6EgSYTK+uAaZuwxserUvC6hamaGJm6X55KQm43TxKpFt7xMp7RKp7SKHU4oBkNSVWV1eBM7cpmZZa7VTuDqBUhC6l4XMw0Y23Ui1cIJR0zNCvvlNVrTXVy9gJomaEnEVvUYRa+HVDJcgiJTUFQCNZvRI1S0NCGS+UgBiaLoiNjP9OELbVqTHeI0s3s97B4MnTZnt75PY7bPfmmNWNFZmGxypHeFy4tvcqP9Csd6lzDibI7sGiXutl5k/eAiQhFEiokRukg14zmPiy3saIpnVah4vbnYDQgmThmpKISaiRkGmOEw+0Z1Qa+wxMhuUPe7SBQUkS22E1RQVPrFBUSaccQTRWOvepRBYZHKzX+BHvrEwqBbXkFPQ6zII1WUXHAnU1iLhcaVxdcw4wxTMzOKtMdb2DLAUy2sxH+orS6Bod2m6R08tvrWZUivvYG7Be3BVTQZMFw4hnvmL/CVZBPFNtFKRbTSfbBWeNDFu731VMn7wXiwKvc8j0uXLs3BY4+ryp8W9PZ54tGZu6Io1Ot16vU6J0+e5J/8k3/Cv/gX/4J/+A//If/gH/wDfvM3f5Nf+ZVf4d/4N/4Nfv7nf/4zgdh+5Vd+hV/5lV957N+klPzDf/gP+Xt/7+/xne98B4D/6r/6r1hYWOCf//N/zl/5K3/ls33Qx8SfJ+9HYjqdcv16Zr/39ttvP3VS/KR4lj7hBwcHXLhwgVarxWg0+lSJ+3DV/DQG9lGUsL3r87hmQaja3K0/T8EbUIhmBDIlVgxuts4SaRZq7KMkEalqoEce5WBAc7KdJ3NJMRjQLa7gagWESAk0m57ToldaJjO5GNOc7vKwzpTg0E0s/0AEeoHyZJP6ZJd+cSk3B8kSgsjtPqdGGSucoiYRnlFmZpaxwhlaGuLmaHghRW6FKekXF+kXFx7a70Pt+PsnlFCzqbodvjTZ5HbzRXYrG+ixT9kfoMiE9niTfnGJnrPIxLzL0uQujj9hapYRQmaAM83OJFHDGbFmoMchY6vK9eaLaGlmvSoFGLGXLUB0k4mWUbC0JMp435HPyugOx3tXmFpVbtVPsVU7xamdHyBUlb3yUfpOCyk0lCRGKHC0f5UgAVWVtMe7aHFm0jKxymzWn+dG+2VOdD5gZXwHV7fp6wtsVU5k6mjD6zTEfuaNrmgcFFYw0gCQ82QpyeRYK16PiVnBTHx+tP4LvLjzQxYnm6gyYWTVubbwKuVZh8Z0h43eVY4eqo8JhUAxWB7c4NzRb/Hu+s/RnO2SCJVOYZEzuz9mabaFHbvEikGg23hGkbFZoe52iAHTizDjAD0NQGbyvbuVdbQ0wUjCTAUt73i4emGecCPNRKQpgZKBoTLAm8bAauXGKKCSGdR0iivslddRowgnGKL6XsYNN4qoaUJrssvUKKKFLrpIeG7/PAOnDUiO9C6TCp0YuLT0ZRYm91ge3c4uL8A3yoytGi3v4NGrD8g4HM+/+z9wsXSW3fabSKHgxC4vvPPbrHx9keBxzxvJ51JWOwTvlkolzpw5MwfOPvjzuFn5F5HIP4mqdurUKU6dOsU//af/lL//9/8+1WqV3/qt3+Lv/J2/w1/7a3+Nv/t3/+4zPZ7bt2+zt7fHt771rfnvKpUKX/7yl/n+97//v77k/ZNqmz+YFPv9/jNL3Ifxef23pZTcuXOHGzdu8OKLL2KaJsPh8Kne+ygw7WlaR1EiCcL7SUs8ksNioTNyWh/RN4fM5avg9YhVIxeymOAZxXxWLebeysCc712ZHTC260ihslfeYHF8Dy0Jc4GXzNEpVk16hez1hWBEzd3PfJnVrFLTI49brRdIVQNy8Fyk6gydFq3JNp5RpOpmVUy/sJDNsoH7o9RDwBt57j6Ur32EvSvv/+du/Xle3P0hVa/DyGpQ9XsoaUK/0EbVEwrBmGI4puJ2SdCYWmVSRWdoNwk0ay7dOSi0iVSTsVnhbuN5fKOUJcB8HhsLLTcuUbDDGeRcYD2NiFWDULeZWVWscMaLe+9QCCZUwiFrw1sEWoGpXUPKjANdmxxweufHzPRCRkmTWYu7EgzR0ojbTR0FOL/+F7iYfpWi32dpdJeZWcJI6gRTi4Hdouz1M3Gd1OOgtMpUL3BkcIPmZIdQt9CSmFA1GNptNjoXsWKfG+2XOL/6tUwa1iiiJyGLg1uUo/G82hSAKhMMGWOFLq/d/QNuts/SdxZQZMILe+9ytHcFT7EYWQ0qfg89DSlGY1qzHSIU9stHWJpsMrTqTHMdciea8vzuO+yWjzA7rMqFQqjaaGnC+uAaWhJxr3qCpfE9zDhjB/hGgb3SGkbksVs7Rpir1im58trd6kma4y3KswMUTWFmljHSiFRkGunNyRYqKWOrQSo0al4HiWBi1VGSmIrfYbN+iq36SYwb/zNONMM1iuxVjrDSv/ERWdTDUICVg2s0B5v07AUSBDX3gEI0pdP4EgYCrT/ErFczd7GDHmrRofCEmfcnRRAEvPvuuw8lbnhye/0QpPtFVeVPwzOXUs7R5t/61rf45V/+Zf7RP/pHX8jIdW9vD4CFhYWHfr+wsDD/27OKn4nk/aR4VpX3g8YiL774Io7j0O12n8ERPhyf53jTNOXSpUt0u12+9KUvUalUPtYj/DAOb57D1z1t4gYwNPHQE+NxxecTdoqahKBoVPwhtdkeM6uKEftEqokUkIjshisGI/o5uCmVMteYttisHac12WJtcJ2K12VsNwg1i+utl+g5LZQ44LV7v099usdO7TiRalDxuhhJSKe8Rl8vglDwzApaHCBSydBuMbVrFPwBI7uR6aKL+8lYRAFSNx76HPNknSZZ61154JaRKbXZPndqJ0gUlbLfRyCJFI2x086MQ4SCkmYuXHebp4kUnfXBdTzdYWS3QIBrlqnP9kgVjR8d+XkC1QRVR0tCIPPFVtOIULXoFZZoTbbxjUzRrex2CYwCQ6uJpxdzqpqB9AVNd4/t8lFe3v4+b9/6X9iuHSfUbKxwxsrwBrGis1s9Sq+0jADaky0WhrdYnNxjcXSbu43TVGYHzKwqrlHOrD+FoOp2CHJOtafbVL0+H7ZfY7+0Qn26y+WF16l5XeruARPTZmqUaLq7VKIJi1t/RL+wQK+wyK3mC1ihS2t8j8XxXeC+gliKSpID3qzUozibUrnbwdcLKGmMGfuoMiHVMrxD325h5XRAX7PZd5aw08wvHKGgkKDllDtVJry0+T3e3fhFOsUVUkXFjF2WBrex/TG+UcQJJlxtv4Ih4wxUJzTa0y0GhQUqXpdeYSkDbJIZj9THOyxPt3DiMZGwWRzdmQPTXMUmVCyKqUvd6xEJjZGdid003ANUmRCiUvE7dEpr3Gi/jEqKkClHelcxcnrhk+5aGUYYccLSbJLz/BRIU2RvgPvWS4zOXUFHYBoGdqPG4v/mWzgnN57yZr4fvu/z7rvvUqlUOHPmzMd6JMBHQW+HI7tnWZU/LWDucfKoz7o4+0nHz/TRHybDzwNCiOOYixcvMhwO+fKXv0y5XGY6nX6uCvlJ8Vnb5mEYcu7cuY8A0z7JmORRYNqh+MLThmGq6DoE4ce96pGaQEqscEopGFBzO9kDaraHbxSYmFWMJECSuYUVgyFqEs9L+mmhiR77GLFLouhZdZb4rPRvcG3hFbYqx9mtrGMmAa3JNu3JNj27hZn4mImPr5e421jNqsjcIhQg1kymmsnUyR62qUwJ9AJqGmcgOjLXKDsYMdWaSPEgnUeCVDLAVG4uEisaoJBpjt/LQEeVDXaqxzJwm1xEkwl6EqKmEb5ewA5n7JbXKQajDBRm1ufnTwrBzKxgRzOEUEFoICWxaiJISWWamZPYFa4svs7IrtOebKFIyWbtOepeB0/PqElqkqnOeUaRQjihV1jE1QsUwzGn9s9lxwcEms07R36BkdPACafEisat5otMzQpv3Pk9NvofMnTaRJrNyugOkWbgaw5Lw9ssDm/TK68iAklruoNrFPH0TPzkbv0Ub9z7A243TvP+2jeQpHz15v9C2evRKSyxlNxhcXSHuntAY7JNIZpiJAEzvQDR5IFBRYoiszSuCD1DqYuMASCkRJMxAomnFTLbWIUMmwCZwA4Rqky51XgBRWR2swKYmFUqfiaEo5Dg6TYIJWv9l1ZZGN3hoHiESjBkZXwHTy8i8jGOZxQZWjXGTouq18PXHVyjyEb/Cm/c+31cq0KkOpSjKYEw6JsVNJlSDfq5O1r2wNVlTNPdf+gu8lWbWGTAuaXxbapuh2KQ6RDslY9QGU95YiSHnaL8qo2yitIQKm/8v/7v9N+/wsH7l5nMpnSqBYZVnf6HH9JsNqnVak9FfT1M3NVqlRdeeOFTPUc+DvT2eQVipJRP7Sr2kxBpOXSU3N/fZ2lpaf77/f19XnnllWe6r5/p5K1p2nw191m4157n8d5776FpGl/5ylfmogXPYlHwuPgsbfPJZDK/ac6ePfsRcMaTtvdpgGlPioOD8OO0VdA0yDpP8n5ZLlPKQZ+SN8AzCoCCZZQ51r3MjebZTBoSSTEYsTq8xeWlL83BYFKKOSpYyASE4EbrLGv7F9mqniDQber5PLXuHqClMVLV533WqVlhZpSpeD0GTnsOlns0Qr2QCYrkVbSQEiWNsROPOBzjmRVkPgc9PAFqElIKRkhFI1YyWVMj9og1i1izUNMIIZSMMywURBpl4ie5nrcmY3yjSMXroaZxLut6vxWv5cCtWNFASPTYQ5XZ0iJRtLyKV+kVlugVF1GkxIxcSl6Pwv4EI/GJRKaEpicBTjBGKiqRbnGteZbnepfQkyCf10puNU+zX15nZXiTRNWRaYie+OxVjrBbPcrS6DZ2OOPa4qv0CwsgYXl4h5MH53D8ESqQKipb1aN82H6V/fI6QsCZ7R+yMN3m+YNzjK0aU7NKe7qFlDBwWmxXT1B1O9TdA5ruPlvlo1xdepM37/4uADGZFkCaO2gbMmSqWKSakQnk5AuuiabjhDOccMRe5SiN2X6Gc1BSXL1ILBSkZqGncYaDEEoGBtQstirH2KoeBxRWhreATKp0YlaZWVVCxeRW4zQbvatz6pZrlLjVfAEj9FgKbtMrLWHGfmYDOr7LzKriaQ6LSdZBMGVI28/MQA6/5VAYaLnM66Nc7/3yGgeVdZxgTGu6ixW5gMg6ToqZUfLkxyz8JXCowigEpCl6sYBQVRqvvUjjtYzXnSQJ/X6fbrfLlStXCMOQer1Os9mk1Wo9Fg3t+z7vvPMOtVrtUyfuR+OTqGifRiDmsBD6pGd/mqY/seR99OhRFhcX+b3f+715sh6Px/zwhz/kb/2tv/VM9/Uzkbw/TmENPpu+br/f59y5c481FnnwwnqW6kGftvI+ODjg/fff5+jRoxw/fvwj5+EweT+6yPi0wLTHxdaOz3//W/uE86r70Z65wNAFMpUkqcKhnZYVTtHSmFg1OHxE9QuLlIIhL+z8gMAoIKREjwNutF+ibz9AwRNZFaql0VwsbWI3uN16kVjRs+0qeubqpWVe24VgxNSqISWEqo6aRkSqycedZSWN0UhJhU6at2aNeEYhHFObbnO3dZZALyCFCjJFTTyEgLFdJ1QNUpFZoRbDEa5doRQMmJo19CTKrDdVG0FKc3bARFhASsnro8qEodNis3qCprtHp7hEouiYsYcdzbiy+AaxqqPFPkf61+fI41QIus4inl7M5svhhFTRmBkV9ktrtGe7rA5vMsodsPQ0xIx9PlzIzFgurH6N/doxjncuYcYZ2vzH699COdQylylCgkqCkiYM7QYLo7tZdZ9GdMpHUNOIxmyHUjBiqtlcWXyNverRvBORLZJe2P4+L+7+IDMXcVpU3S4N94AUwXb1OKSZ//rIaTK1KgjgwvLbqGmcfedkym5Syow7LgQJCjfbZ6kGA8x4hpA56TBNCRwHNcrMZQaFNmoas1U7wa36KQZ2i5f2fsj68DpaGhKqJkac+XbfXHiNSDOp+H2c6H5FqyUhu5VjLA5vst14jveOfJOiP0TmdLdCMOHo8DLd0jJ/4cN/CgikomKGMyZ2nW5hkeP9S4+95iTQs1rY3vZH5teeYrNVO45IY1aGt5iaVRIUhoUFPN2hNdniD09+h+PdS6z3P/xo+1xXIZWQJBxSGNFUzNWFR1+Jqqq0Wi1ardZ8Ftztdtnb2+PDDz+kUCjQbDZpNptUKpX5jLter3P69Oln7of9eQViDj/Tx8WhkNeT7Jo/bUynU27cuDH/9+3btzl//jz1ep319XX+3X/33+U/+A/+A06ePDmnii0vLz/EBX8W8TORvJ8Uh19iHMdPpW97GPfu3ePDDz98orHI51kUfFw87cxbSsnt27e5efMmZ8+enbdinnScDy4yPgsw7XHx4/eHjMYx6aHU20cOMsX3lbwzLedPIwWJE04ZmzWMxMseNEJwrf0KWhJgJgFSUenbLaZmJfOJFgrIbDZspGHe9pYEmk2g6Ly3/g1K0QwndimEEyLVyMRWymuc6HwwV/FqzA6Y2A0GTiufnWdVfH7A8/8vBCNioYGqoiYRMvecjqXCoHqcM7s/JFBNxnaLoj/ADqd8sPo2qdCIVQMhM5SxHUyYGRWqbpeK1ydRNFyjSGSb6EnEaucyPzz+K4wVjYPKen4cgl5hkVc3v5sD21Ii1eBu/Xlutl4CoDXbRUHmVDAVIRPUNMGJprSm28SKgRQCO5wxtmtslY/lM9ltjCQk0Cxuts9ys3kWI5oxKrbpVda50X4509VWTUK9QMXrEB/Svciw/AJQ0oSZUaRXXKJXXEIKhVBY7OrHsTqX6BeWuNF+BYWMM41MKQZDjvYukyJQpKRbWqFbXKY53absj4gVHTP1GRl1AtVkYbJNr9BmZGX681oaEwsNVR5Ku0qQAk8x2ayfYuZ3WBtcw4wzEZaxU+XKwus4wRgnnqGmEfuldXaqR0GoHOlcZK+yjh271N19rNjD0wt0Ckv4RlaB2dGMmV7KOAwSQsXCSAOccMZK/wYH1SPZnB9JMRhypHcNjZTnDi7wztFfpDHZwYkm7BdXUWXMW7d+lxCwHrjaDu+cQBh4us2WfozFyV1UmZCg0ndafPfkr3F2+09YntzDyRdx1ekObfeA5fFdtGDK1KxwfvVrCClZH1y7fx8qCoplkYZR1gYTAnQd1TIpnfl4URAhBMVikWKxOLfr7PV6dLtd3n///TleplwuP7Z4eNbxaQViDrnln3RcrusCPDORlnfeeYef+7mfm//77/ydvwPAX/2rf5V//I//Mb/+67/ObDbjb/yNv8FwOORrX/sav/3bv/1MOd7wM568hRCfylksTVOuXLnC/v4+r7/+OvV6/bGv+6yLgk+Kp2mbp2nKxYsX6fV6c2Dak+LBFeuhF/dnAaY9GnGcsrntUy5rPB7jmreTZYquCJIHQJuuUcIJxkSqkSXnNCFVVOxohhVNudF+haw6yN4vZIqSJIjceSLJjSWkcn8WnRpFytNt1vsf4ms2I7tBt3qMC6tfASlpz7ax4xl+bONpDq5RYnFwk536CaSizw/58LgDzabmdYhUi0CzSBUVNU1ouHuMSgt8uPg6VbeDE0yYWVVuts4S6gX0NKE9uYcAfK3AxKqRCoERe1ixT6walPwhWhJRdrtcWXkLlMNzeOj3HePrDnfqpzPak6KxVTtBN9d1b0y2WRhvsls5ghX5aEmQybKKDEswtFuYuQyrlgRoSczErrFZO0HV72EmPqFiEOacc9eqEKsGWuITajbhXDgkIVF0+k6Lit8HCTOzjCDFjqbsVTYoRFPUNEGRGSc5UnT6hTY32y/ntLoMcAiCxnQXM/YZOm2K4Rg1jUmExsSoYoczFiabjK0adbeDloZMrCqXl75EqFmc7FzIzGA0Cz0OcmezrIL0jAIogp6zwMwoYcUeiVAJFR3fLDJw2uhpQMXtkwqFpdFdAs0kMIvoccBm/SRjq4anF+kXWgwKi+hxQCJUyn6FSt4Wl4BnlqhN99FkxMJ0m4Z7kBmapAlV74BENYmkQsPr8EuX/xt2yxt4RpE37v0+pXBM187AbClxDrrLthsJk53aUWx/zKCyTqLq7JVWudM4zdBpszi+y+roJv3iMluV48yMEq8OrpMKBT32CRWdmtdl4LS41XyB1eGN+YJLKVgIRSAUBcW2soSbpKhFh+rPfflT3fe6rs+NQVzX5cc//jGmaRLHMd/73vcol8vz9vrjJEifdTxalT9KRfN9/6Ek/qT2+mw2Q9f1T+0V/qT45je/+ViL6sMQQvAbv/Eb/MZv/MYz2d+T4mcieX/cRfK01WwQBJw/f34O+vo4MXshxOemdT0uPqltfsiflFI+lWLag+2jBz3PPy0w7aPbFVimwmgSQ3of+PVoGLGHlCpI4yEBk+3aCU7tvYNvFJkYFZxwQikYcqN5BtJc45xMOjLzNJ5SCEbMzDKxaiKVTL9aTwJqs302eldZnG5nEpVJgNK/Rt3t8MHKV3h/7euU3S527DI1KwS6TXW2j2tWUIBEHpKPyEBsMmt19p0FjNjDCUaZfGsSs19epeL1mJoVhk6bfmEJZJppqacpM6tKoDs44YREqDihihV79IrLVLwuZuwTKTpW7KEgmVm1h/h1EoEVB3zp9r+k7nayoxKCYjDivfUSrlmm6GXJP1RtJlYdLQ0pekPK/jCjO8HcLEOSuYFZiY9GQjEY4kRurmgnCTSH7epRQGStbQGZfaoCMsEIZ/QLi8zMKmbkYscua72rDO0m/cICr2z9EbXZAYFm4RkFtDikV1xmr3KE9f6H3G6+QKA7IDN9+0g1EJDRv+KAVFfQSHCNEiJN6BYWqfh9eoUltmrHiVWDYjTJjF6i7JxljX+JiiSVCgOnTX22z07tOHoSZNtCZtrxaYJQJWOrjiZTSt4ge28SMXPqbHSvsF0/yX55HSkEUmg0ZvvYwZi79efYrD1HMNnGjGcEegE9CbBmQ5Q0wdWLGGlAa7pLqiiZ7amUaGnIZuUYq6NbLOcIeYlgbFSZGGWa3j4paibHq1jMrDLd0jJWOCNRHVaHN9mtHOFe4xSpqrM+uMbL23+MGc24WzvJQXmdlf4NnGCEIWNiFAZmNlqywhkzo0SgWthxVk3KOMU+vkI8npF6PgiB4lgYiy1kEH2m+991Xd59910WFhY4deoUQgh836fb7dLtdrlz5w6aps3b6/V6/QtHbj+ayH3f5/r167Tb7U+koh16eX/Ri42fdPxMJG/goeT0YDxN8h6NRpw7d45arfbUxiJfhADMxy0IPg6Y9qQ4vEijKHqm3ElFEZw9XeJf/mE3a7PmyWLePheATKkEPXytQKgpSKnkCVzSKyzywerXWB7cpOZ1mRllLi2/xaCwwKGRiBa5JKqOSBPKbpfF6TY75XWETHOXpxgFhZMHF1ga32G/fCSfo2eLhqrbpZgrgc3sKp4sI2RKMRjjhBNGZo3WaJORXc8STL4A0aIZgWaRKDquVWEoF1DTiII3QAB67BKrJlocoCcBUgjGTisTflGztvkhRWhldIvWZIvbjTP0C4sIJFoSsTC8Tae8xgO6dDllPKUQjAFBt7CAzE002tNtnt97l/eOfJNueYXQsCn7PcLYItQctDRmrf8hH6x+FSHlHCUf6DYVv4+rFykGI+zYIxWCOJcJNWOPktfPhG8eNHMhM3GZWVWsyGViVYlUg+JozE71OEW3y8rwNloaYyQ+TjSh5vXoOW2uLL7O1KywPLrDC7vvsF09SqRZ2MGIiVVjeXSbSDGYmeW5FvqN9ln2KhuMjCpTu07NPaAUDDAiF98o0C0uY8UeU7PMzCiipTF6EqDKhJlRpuz3mXpVRnYTRcZIoaKmEUuDG1xrv0LN6zHVixyUVjONe2B5dJvF0W18vcC1hVdIFY3WZJvTuz8mVTRc1SbRTKxwAopKY7KNEbgcFJdpd88TEqOkaYZGzxkUnlGi4I8RacK11ssUgxGqjPH0Elrk0XPabIyuIckc0CaFOnvldZqTXUrTPeLEo0pKrOq8uvVHaGlEe7JFIZyQAIFqYwUTTnTeR5UpI63CzCxSnWXI9FCzsGIXPXmA/iGg9NpZFE0hGo4RioLerBNs7xF1Bp/63j9M3K1Wa564ASzLYnV1ldXVVdI0ZTAY0O12uXbtGr7vz0FvzWYTx3E+9X4/TURRNH+ev/DCCw+Bcx83Kz9M3n/W4mcmeT8pPkmo5dBY5Pjx4xw9evSpV19fRPJ+UuW9v7/PhQsXOHbsGMeOHftUVp6KonDv3j2Wl5efGSAD4LWXKhx0Qy58XxIlIanygLpy7oc8KzRxE43DNriQMVroEZllJlaVD5de53DOrMcBJ/bPsza4jpbGHJRWuN04jWeWiDWD1mSTiVllalUxkwAQVLwDVoc3iFUzl7bMItRs9DjAjH1sf4JvFklFhkS2winDQptAs6n6A9YGN3HNEr7uZMk/iRnqhXyhkbVmE0XHM8v4Zimr/RSFlGJmxRl72MEYXy/w6FWWIljvX0ePfDyrQorAjma0xveySjHyCRUVKVSkTLFjFz0N6TtNFMiTpslBcZnGbA8j8pmZFZxwTGoUSVGwwzGRZqDFEYuje+xVjuAZJYTMPMgb013urX6NlfFdfM3JbDFljCJFxhefj/zlA/9//zO0xvdQBHRKq/SKizy/+w4rw5tIoXC3firTNI89rHBGoNuMnAYlt0untEJrssWR3lWkUBgUFrjZOkvRH1AMJxTCCbGisVPZ4Hr7FdQ0o24pMmFQXGRQyHEcAtqjTQLNRAol424LJesuyJS1wXUurnyVYwcX6ZaWc9WyiLrbQUkiFoe3aXpd6u4+iVDZq6xzq3GG5nib80d+nm5hMetEIRkU2hyU1lgZ3OB47zLPdS5kIiw50C/QTDpKiYa7y3bjJK7l4EQzUqEwLLRZHN1mZpS40X6JF7d/QCEckwqNkuhzo/kSWhoSaAWseIZIfFqTbexgghOOudV4kcXedRQ5oz3doT3deehaksDL23/EyKrj6kWmWhldhjTcAyLNZGYUCTWL5/bPo8n7V6Jeq5DMZlgnNzDaORUyihCKglr+dAnLdV3eeecdFhYWeO655z6Wx31o/HHq1Kk56K3T6XDt2jVs256316vV6jNVVgvDcM41P0S+P1i0PE4g5ty5c0wmk2d2DD8t8TOfvJ+UZKWUXLt2jc3Nzc9kLPJFVd4PbvNBcZiPA6Y9Lg4v0BdeeIH9/X3eeecdDMOYI0k/701jGgq/+kttfuu37lG/eBFPL+LrDorMEMmhXsBXHNJDNTIJUmhEus0cwJbTcxSZ8MrWd1kd3Jg7OR3vXqI13eWHG7/IoLhMt7TKSzt/wl75CDO9SDEcsjjeZGLVMnrTIw8SI3JZGdzMKFFC0C8sMrWqhKpJ1jSW9J0mDfcAI/YxY5e+3WJYXOS+BnoeQhBpNpAiZEZjSxQto1xFM0punxvtlx79AvA1m1SITD7Uyx6uWhKh51xkK/EpTsYMCq1c8S0Dg0WKgWuWQSjoScDUquLrTlapC0GvuJzbYUpEmvHF39n4OZZHd3h+9x1i1UTJZVMvrbxFrJrUp7vsVo/leuE+Uqh4egnxoDBcPvcXMqXqdmjNMpMTJ5jghFO6xWViNUO/ZyIsgkixsirSqNCc7bPav8nG9jv84dn/PVOrmnGu04iSlwnUXFp6k1TR0dMQXyvQc9pIVUUJU1JVY6V/nU5pNQeNCbQ4oObu03faJJqBFWZqc65RxArdzGnOLGEWWixMthBk15unFegX2rx57w+QqoprlNGIONa9QnXW4fzq11CEoBCMMNIIISUTs8pm/SSLozuc6lzIxgtSoiU+kowOOFs4RU8THO1dYmaUGVt11DRivX8VUnjvxFc5fvABl1beIlHUfD6vUp1sUQ2GOPGMmVbATAIEEGkO14trvNg9T0+pPB5CAkRA092n6e4TKwZCJmi5E1/fapAIjRMH73O8e/Gh96mVEtMPPiT1A4pnTpIGId7tLeyjaxQ/AbD2YMxmM959910WFxc5efLkp2oxFwoFCoUCR44cIY5j+v0+nU6HDz74gCRJaDQa86r888ydDxP3obrb447xUdDbu+++y3/4H/6HfOc73/nztvlPWzyu8o6iiAsXLjCbzXjrrbc+E7/vi0reUZTNoQ6tPPv9/lwc5mniUcW0hYUFFhcX5/zNw5tGSkmz2aTdbtNoND4Tal5RBJplcqt+goXhPdYmW/h6ga36CQLNIfNsuI+pzVqWAmTm6JX9UtCc7LI8usPQbs2FNKZmhfZkmyP9q1xc+QpXFt8EJCvD2ywmAZFqcbN1lqlZ5ZWt76HHwfy9RW9A092j5vcIVRMtjWlNd7ndfIGd6rEMNKZadKpHEEJghTMEElcvzeVZPyJ3KkCPQyLNZmpV0ZMQKRRiRadvt0jVw8o/A5+pScRG7ypm5FPx+zTYJ1QNJmaV/eIqq4PrNNx91Fxb/U7jFAelI5RmHRLdyiRJ00wX3IxcAr2ASCKEGufo8gz0lAiVmVFkZpTolNaoeT1KwYBYMegUl3O+eAbsWx1cZ7t2HNcoI6TM5vCRS7e0hEhipKJlPHy/T8XrZ7S7yCNSzZwDnjLTHNQkQFEtCkFmvpG5aCVY0ZSq3+PuwlnM2Jufp4o/ItAsIs1GSwI8o4BCRslLNQMt9plZZYw4QJMpr21+l1jVkEJFSwJcI5OLVZJkPqIx4wAUwW5lDdcskqgGneIKZi7g46smpw7OYyY+tj/LvzsTNYkwwxnvr30jn+N7uUEKFIIhU6uGa5SwRrdQ0vg+sj3vwqwPPuT7G38RO3Ipez0KYUYlC1WT2+3n6RZXON69xNmdP8G1qqRCww7GRIpGz1lAAoV4Nr+HFmZbtGdbuGg46eQhjvf8ngaGWpPFOFN11NJw/vuJWkRB8s3d36Uw7sCDJEjTwDlxBP/OFqMfvM/k/BX0WpnSy6dZ/mt/GdV5Mq7nwZjNZrzzzjssLy9z4sSJz5XkNE2j3W7PZ9GTyYRut8v29jaXL1+mVCrRarVoNpuUy+Wn3lcURbz77rsUCoWPVXd7MN5//32+853v8Hf/7t/l13/91z/zZ/ppjZ+Z5P20M+/pdMq5c+dwHIe3334bXX+Smd7HxxfZNg+CgPfeew+At95661NZeT6oSPQgMO1R/uZoNKLT6XD9+nU++OAD6vU67XabVqv11Aj6zR2Pg70ZiTDYqZ1gp3Z8LqhCXt1msNockHU4V01lDkzTQQjKfj+rOLUHVt1C4OsOrbx9GGkmF1a/zuXFN3HCCaFm4RulnF+8x9rgBkKm2fa8LiDoO220NCZRdZxgwvrgOoFqMrIaGPmlMnZajO1mhlpPMxvG+SHk81FQ5sIgAFKohNojD765CE12TZw8OM/a8GYmRGKUKUQT7MjF1QuEus3G4BqeViBWNGp+j9LOj7iymGAkPt1CKwO35Yk31Ows6SQBMU5mWyke7nEr+bEOCm0GhfbDx5Ym7JXXOb33LkujO0ysGnoS4gQjriy8ipIkpGp+q8uU1mSHqVmZa2BLoRCoFmbsUYhdtmsnabp7GImPGWRmI1Y0A6EwNmsMnBaxZuUIe52JU8+U8YIp00KDULWQIrPfNGMXJxxT9EeM7AZ6EqKkCb5ZBFS0JGRqVhgU2qwMb80V7yBlv7zOUK/gaiXApT3ZzKhzsYeqmuhJiJGbqSSqltHpwimRpmPFLp5ZpBQOUWSCREE9XLAJgZ5GPLiAE0iUNKIQTdmrbnAhfov2dCfrBCgqY7vBlYVXWO9cZmrVUYRAJpJUifAUE8+u4BolEsT9/eR7cIVNLCFEYuE/lLyzxF1GKNBz2hixjx27pCh0iivsVtZ5Zet7lBdX0Y+dJtjrEg/GCMcELyTq9JFpitAU9GoZY7FN4vm41+7gHP0oDfbRmE6nvPvuu88kcT8aQgjK5TLlcpljx44RhuEc9Hbv3r15+73ValGv15/4rD5M3I7j8OKLLz5VR/HSpUv86q/+Kv/ev/fv8eu//ut/5qpu+BlK3k+KB5Nsp9Ph/fffZ21t7WNnNp92u88qVFUlCAK+//3vfyrwHDwsvPJJwDQhBNVqlWq1ysmTJ5nNZhwcHLC9vc2VK1eoVCrzRP8kIEe3H/I//NYeynhII8jtC80yvmrdb2EflhF5ezxDc+e/y5WygFw1Tc4T/yF9TE0jRmbtof3GmsVYu7+YSRSdc2vfYK9yhMZ0ByVNONpL8VULRUCgZBaQgWbN1bASVWW7fpx5hS0EqciUy/KTmQvCKA8sRniiIlt+UvPXKmhJyNrwBjO9OHdJSzUdTy+iyoTWbJexUSXU7Ux6VGhY8YyTB+9z4CyiIDNDkQdml6FqYMU+fi4XKw87F8hsXpxmQCf56AhBSsiviSuLb+RWphly/0brRXZL65S9HqHu4JplFKHQmmwRqSahZjGTZSLVIFIt1vsfstG9xIXVr2YAuGiGlsZzgNxOaR1fd5iaFXzNwogD1CRCTUJC1SAxNWQOlEsUdc6fV6TEkCGV6T73asfZq25ghxNK/oCJVaMQjLjZPEOSe5gLJGOrxp3GaRYHNznWv8yl5bfpFRawcp/1RNE42fmAsV2nW1ohVvVsVBHNWBrepjHZ4cryl9DjTExHpJlATqhZ1Ke7h0tPZC5zO+8epQlfuv07/N7pf4eme0A5GBCpOvvFFZrjHSrBmP3qOsHUpJBkiO9IaOyXVjja+zATmQH2rTZS1REyoe3u4QqTUKpsV45RHe9hSJ8EjWGhjRNO8DWLkgw4t/YX8PVCJr072eLs7o+IrCIkCcIw0IoOqesjFJVEgag3QKgqRruJaltU3ngRf2uP3u98l8qXX0GvPhkHc5i4V1ZWfiI8bsMwWF5eZnl5mTRNGY1GdLtdbt68yQcffEC1Wp231w/R4VEU8d5772FZFmfPnn2qxH316lW+/e1v8zf/5t/k7/29v/dnMnHDn4HkrWkaURRx69Ytbt68yZkzZ1heXv7c2/0ikvdsNqPf73PixIlPDUz7PIpphUKBo0ePcvToUYIgoNPp0Ol0uHHjBo7j0Gq1aLfbD7WxLl4ecuNH11nrXiFGJxUKzdkOO+UjTKx6nqAfnhtnCZssoRxKNUrJQWkZ1yhR9boM7TqpUDKLzjTh2sKrDyXQR6Ps9WlPNtHSmG5xlX4++5QIyFvLkWZCmmArOlJRGdptEPoc/S7SOLcRFQ9qtXCfb35YKT2uqflICAUjDtCTMGu/xi6JauArOopiYMYeehKSWJkl5sws4YQzUlSK4ZjdwipWNGNi1VBDF0HmMx6rBnY0YSLr9/XeyRDqiWpQDAYMnaziFmmUJR0hEGmEksY8v/NjitEENYnwjQJ9p4WSJHzp3r+m5A9IFY1ucZmri68RqRYvb36XTmmVfnERIwnY6F3hWOcSUlEo+UPOrX8DRUIxGBIrOiO7gURQCIb4RhGpKPhGIRMbUTQkoKgy55/HGKlEIghVE9csY092MQE9l4adFTPPcTNy+Uvv/3/YbD7P9farmbCPlAS5stjy6A5SqEyNKvuV9XwxkFCbHuBqhQwRH7toiUaKQE9CuqUVloc36JTXOCit0mch69oAzckO1UOaHpCZlj44ik4xZMS/ef6/4J2NX2SrfAQrcnntzu+z0b3MZnmDE/sX2Kke5U51HRAUggEbg+uEqs7ArGMGUxb8gznXe6yUECr09EVOj24ytWpMtQZqGtJ0dzkorNCebmIj+frN/wnXKKGlEVbskQLbGy/S5ICo20eGETIMM+U/20amEq3skExmqK1Mt8JYbOLduEuwtfvE5P2TTtyPhqIo1Go1arUaJ0+exPO8eVV+8+ZNTNOkXq8zGAywbZuXXnrpqRL39evX+fa3v81f/at/ld/4jd/4M5u44WcoeT/pSxBCcHBwQJqmnyhq8mniWSbvQ2Dazs4OhUKB48ePf6r3fl6p0wfDNM055SOOY3q9HgcHB7z33nsoijKfR53//fPQ7SJ1ExlJQs1CSIkdzTLREJngmyUem+we/JUQzIwKF1fe5szOD2lNM1u8SNW53jzD1KrmM/KPXopr/Wu8uPMD7GiW10aCvfI6PafN+uAmneISxXCCmkY4ufLawGkxdpoP8c6l8si2pcyqcHn4k+RJyEDk1fBhmzpVtPs893ybvuHgGUUqboepWSNRVISUFOIgk3GVMWbkEzgOWhIxNcuoSYhnFOkW2zSCAUjJJF/IqGlCzT3AV435XFaRKUiJVA3scErBHTAxayRKhu7PTEiy2fjzuz9mY/AhE7OGl5ugnNn9EWFOiRvaTRCwOrxJMRhydeE1zuz+iKO9y0yserbgSCM8vUAiFPbL62zVTuWzV0mcV7plr0/BHyLzEYOeZC31SLNJBRlfO/aIVT2f2ctMs101gcyRLbM4VTAjN+eGm6AovLL5Xe7WT7FTPQZCYbV/g+cOzhGoJreaL/D63d+nV1pibNUwY4/6dJ8fHv0WJzoXWZrcy7+vbBRzdeFV9NDjly/+11xc/Qpb1eNIIVgc3+P03rvzRH6YtB8exgk69gKrkccvXvlvs66DUHCNEjfbZ6iM97nZOsOxziVW+9dAZLr0nlFkp7zB8uA2qWGyby5mbBAkRa/LwFpgYLT4o8UXeG7/HKVoRCR07lZPUIhmhFhYeAgkhXAMZIl/r7CCAjjPHSXqD5F+QOL5yCjGXF8infnEozGKoWOtZ0YYMowQuoZiPr6TdEhLXVtb+1TPoi8ybNtmbW2NtbU1kiSh0+nw4YcfEscxvu/z/vvvf6z+OmQypd/+9rf5t/6tf4v/6D/6j74Q//CfpviZSd6PC8/z2N3dRUrJV7/61WemoAPPLnknScLFixcZDAacOHGCg4ODp3rfITDtWUidPik0TWNhYYGFhQXSNGU4HLK7u8uFCxcQe1ukokCk22jRjEIwJhUKM6OcPVzmyftxIT7yz+3qMfrOAq3pNmqaMLIb9J1Wlhgf87mcYMyZ3R+hpAkHhWU0GaMlIavDm9xuPM/AadKa7hKrGmqeeC4sv829xunDE/jEan7+90OlOMUgzTnNmRNYlsAD3SESCiKNMWI/F0hxSBWd243TvDY7oDndzs1WBEbis1U5RnO2RzkYMjOLpEKl6A/R04gb1WM0vS57lQ1WhrdpTXeQKCgyYWzVGBWXWB3eYuQsMLRrgKA4G9Gc7nC78Txlb0D3cKQgU5AJZjRleXQbPfaRVqYLL4XAijzsyOVm8wyBUQApCQsWzdkuZuxxefF13rrzLzNgHoKJUcEzHMzQY7t2DC0NM4tTKXPgnoanF3CtCiV/SJRTu6QQKIlPkncPpMwAV5neuSAVYOXcetcooyCxco/sSDWyma/dYGGyyfP753h+/1ymuiczbfPd0hr9wiKqlCyMN2lNdohVjZ3yBt3SKrFq0CsuYsQhCHA1m0FhkaLoMjZrfPnO7/JW+ju5sUdW9R+UVlkd3+IRzgESGJlV1gfXudt4nt3KBnY0JVYMpmaR5e51tmqnuLHwKju145zZ+RFONGVk1ulbNQqxy4WlL/N870LmmJfGhKpJ31nkTuN5hDelV1nhglngaPcSRhKxMrqDlbj01Ar7doOGewBIAs1ip7zBbuUIX51dYPVv/D/p/+4fE/YGWEdXSVwfxTbxb28RuzGFs89jLDRJ4xj/7jbOc8ewjq5+5LI/TNzr6+scO3bsyffHn3Jsbm5SLBZ5+eWX8X2fTqfzEf31w/8ahsG9e/f4S3/pL/Htb3+b//Q//U//zCdu+BlO3oPBYA5Me5bSd4fxLJK37/ucO3cOIQRvv/02o9GI3d3dT3zfo8C0LyJxPxiDYcQHVybcuD1i0B9x6kSLN4522T2I2NXKWLrMrS2LWPGUVAhG/3/2/jvYkvys74A/nbtPjjfHyTszOzuzs1FahBAgCYmgQgX2S7bBBiFsbMq82CpcNrhskl8bqDKGKpexAQMGSiSBQBKIVZZ2d3K+M3Pn5ntPjn06/94/+twzMxtnVxu0ws8fM3PnntOnu093P7/neb7BzKMFLlrk4w8RyXcTie+cy8Z/DfQUq4UDw1/fVZ4/Z59KvS0sr0c9Mbbb/SZQDFw1QcGu8pnFdzPdXSc7qOGoCbayC7H71V0f+jznTERk7HqsCS3CeGQsK8N2cyqueIeVthSFGGLAeHtlyD0XDNQElcwstwoHMTybo1tfxPJtAkVjOzPHcvnIkIcryNs1duVYlwv3UU1O4is6j976OF+a/wYkGfShyYoZDJhqr3CzfJSZxhKT7ZtIArpGhlulQ6ihD5JAFSGBrCAkDSFr6IM65pDaNdFZoWMWcIZqYUboxrrvu4c+5DMnvQ5XJx7k4PYzGKFD25oYtmlttrOz+LJBwusgCxHz66W4ExFKKgm/x6HtZ0CSaVmxCEnHKuErGim3QysxRnpQj81TdscBQ568p1lkBzUUERFJsWtYxyzSTIyxmZlnqrOCFsaLD0/WqSfHODv9BOO9dSrpaRrJcVQRECHjySqpQYNKZm5ErQNQoiD25u7XqGamsSKbpBtzfDtajo3sImZg48gWuvBGLmsAARqBkFkrHODQzmlayTIdPUfC7zHdvE41MYbut9GDAY6e4vrYMca666hhgCwrWG6PvdXzPLXwjeTdGtagTT09iSRJvPX6n/K5/KMU+jt0rQJ5t8l4ZxWI/b6RJFw9SU2epKvnuFm+DwmJY5ufR1/IUvi6x8g+fgK/1kRJWCiZJM7KBt52nfonPsvg5ir9yzcAsOanmPj/fDPys1TP3gyJOwzD0TPz+PHjKIoy0l9fXFy8S3/9N37jN/id3/kdTpw4weXLl3nnO9/Jf/tv/+3vReKGN1HyvjN5ra2tceXKFQ4ePIgsy/eUEF9uKIqC572okfWLRrvd5tSpUxSLRY4cOYKiKPfkKvZsD+7X+kKs1j0+/JfbrKx2sAdtLDOJczXJW3KTvNX4PH/dLNMyssgiIuG22Vc5z+nZt2GEHrneOkbg4mgJOmaBtlmIk2IYPItaxR0gt9u66HGSvG1qcmdCl4cJUAtdPDmBGCKChSShRCEDPcX18v3Pnb3vbu9OUZI7ImdXSTmteFYta8gixNUSqL5DQ1bi6nGYvFNOm7HuOj0zj7f7KZLCfO0Ky+UjXB0/gaMnyNtVbD2Nr+goIiSQNT61972kvB5IMl2rQNfIjfZhK7eH9178LbbSc3StAsX+FuOddZbGH0ALPG6MPYAc+fE8XNaHMq49PM2i2N2IbSuH+xnJCkYwwJMNfNmIFwzUUIYuXUm3jW1kEMRsDUnEsqkdM8+FyUd5dOXj5O0KAz1NIzFOiEzabeFoCczQGZ3DQFZjKc+1z2AGNoGsU+xvMdFZ48LUYwSKxsmbf8ufH/9HdBMlusOkqAxNY/L9Cq5I4CsGSmAjD8+TIkJc1cTVkjFHX5KRRFyVb+T20dOTlBSNYm+LZmKcgRr7lmftGp6apJGRcVUTPfSIiLX1A0+jPKgw0d2I0fBD9H2oGrH0cRTE4xpJwggcJERs0BJF+HoKT9I4P/U4Y701iv1tPNVkuXyEpllitnYVNfQJFJ1GcgI19El4PQy/z2L9EmZo803Xfp+6XqBr5dlfOYuFx2pyLtbZlyQCSaFlFih21uMFo2djIpFvXMfVLHxFZ0/9CpOdFTJOEy9zgs9+9rN3CJ+kkWWZxN55EnvnSZ88Qu/CNfxqAzWbJnX/QdT03UDUTqfDqVOnmJ+fZ3Fx8R6fDq9vhGHImTNnEELw4IMPPi+Y90799Z//+Z/nscce45//83+OLMv8/u//PsvLy7z3ve/lve99L8eOHft/M++vlNg1Ftne3h4Zi2xtbb2owtorjS+n8t7e3ub8+fPPUXV7Kb30V3u+fS/x1JkWN5ZbWEaHA3tjw4Fmy+fUYIJHcyoPfe7jNI3ikKJVp5KaZryziiJCKplZbD2LHgw4sHOGanKCW2P3o0Q+kazcFkPZBbENZTmBZwHFouG/b9+sLauEJ2sk3TaeahHKKrIIMQKbtdL9SESIyIfnIMSHnxcFIO5uycthDAIygwECiUDRAA019FCISHpdEBGBYhLKCnur5zi6+QW2swtU09MgoNxdZ6y7TtfMs5nfy3puH4Gsk/B7hLJGKClcnHyUrpWnmygP90jcpqVJcK10lL6WZP9QdMPWknx+zzsBmRPrn+bKxEnaVhGQSA9q7N85w8WpR8kMmmSdOpPdtbiNrSZoW0W6Rpb5/hJbmTn0wCHjNlFDP7ZMddp0zQKeqpMbNOgZGTYzs8hCMNDTPDP7dRzZfgrLbWO6HQJF58agRt/YQ19LoYWxLKxA5vDWUySdFlv5vUPFO0HerrC3egFHMSgNtkg4bbqpXUaCRCirhLKGFdxCGjByhANQo4CE1yHfr5Dwe9woHUUfLjoCZHJOnVJ/GyEptJJjzLRuxtfWcC7fMzNMNW/QMQvYRgoZiVy/QsaJ+dmBooywC76ik/C6THZXuVo8ihF6eKpJD4EsIhzFIul36SgmC62rbGZjn/Lh8pL0oM6B7afp6TlKgx02tXkUPyBhN9CFx8HqWRpGAV/WaEsSY/0tsl4DT7a4ljtKsbUKiT2oocuui5mEQPMG1JKTTPfXkADV75FsLo2uWQHk5/axsH8/tVqN8+fPE0XRXcInummQfej+F7zHO50OzzzzDIuLiywsLNzTc+H1jjAMOXv2LFEUceLEiXti4TSbTX7hF36Bb/qmb+K3f/u32dnZ4aMf/Sh/8Rd/wf/9v/+XM2fOvPY7/gbGmyZ5u67L008/TRAEvOUtbxkZi7wcV7GXE68keQshuHHjBsvLyzzwwAOMjd3Nx32xyvtOcf3XK3H7fsjTpzcQ0YDpyQk03SSKBLmsyvJGg4/VZwjHfEqtNRCCm6UjNK0iR7eewpc19NAllDW00CXjNCjYO6wV9uMPnasiKa6yldBDjUJCWSFQDWLU9+2ZtBQJxjqrKFGIkGR6Roa2kWe1cIgDlTNMdFZHreBmYozVwgHmGtdZy+8luktvffdkRkw2V6jkF2Ka2q4+8xAkNdASaJGPGvlEkkIoyYSyQcLrxYCvoVnGeHedjNMi6V1gX/U8ux8kiYh91bNs5RbQQ4++kaFnZnFVK64eZRUpCpGk+DMl4spViiIiWaHU36KSmWWtcCAGPEUBs41rzDSuEckaX3flD2lbJQJZI2dXqGZmMQIHPXJGVbESBaTdNo6eYqAmODf1GKGik3Ya9I0M29l5enqWA5WzjHfX8IYiJ5emH2WgZ5geisisFQ8SKDpZL9bB7ukZXMUg3a/j6yaulkASEXsqF5hp3mAzMxdz0KWYZtU3smScBqqaoJqawjbzyGF8br0hGA1it7S+kSOQ1dHCTo58QCbjxpahmgiGrf2406ZGPnmnSbG/zdL4ca5OPIjh2/iqia9osQTuoEbC6zDQUqiRR8LtImQVI3RpJCZIu+2hKpuEraVi3IKaZDO3yGL9CooIAIkUbTZye6jqReY6yyzUr1IcotIlBAm3Syir1LQsUSTIDJrMtJbYW72AZbfYysziKAkOtK9gywk2Mot4mknSaVJur0IUIKfTtKwxDH9AvrdFoBj0tRQZrx1fts9zj0ZAb3rfc4RPqtUqa2trXLp0iUwmMwKaPtvta7cD+JWcuKMo4ty5cwRBwIMPPnhPJif1ep1v+ZZv4dChQ/zWb/0WqqoyPT3ND/3QD/FDP/RDcZfpq7jqhjdR8m40GhiGwcmTJ+/6cl8LStcr2W4Yhpw/f55Wq8Vjjz32vDrjz1d53wlM29Uqfz0uuiAIOHfuHL7nkUwWuLUe0u60kWUoFTT89U26voqbnaajZ4mkuIpRoxiZbSuxBCRhPFH1VAs1cOKWsyQTycPWOHGrNp5/3i3SAgIlDCj0Nyna1aG3t0LOqbOR3cPViRO4mslC/QpmMGAzu8it4kHydo3x1k3WCweQhpWakORY6jJwmOncYq6xxLGdp2hbBZZLR9hJz+KrOqbXo2MVkIKhg1UUEqgmShQQCBnL7+GpJp5qYXk9VBHEs9BdJbMowAhdZpo3OL76JEJWsI0Muj8g5ba5WbyPSnYBiCvLSFZH6GYxnLM7aoKx9gqtRAklCij2K5ihQzU1Q8/MsplbZLyzioSIkysK+ypn2MrtJZDUIXc8Fg6xvB4b+f3cKh1GSBJ64KAFsalHzq4w0JLkBlUSoUd2UGOstYIchox31yj1Nqilp6hlpun5OSQBrmZhBQMWW5eZayzRszJYbp9ybwMhKcMWdEBy6F+uBwOEJFMtHCREYl/1DPONJfTQpWPmuVk6zEZuL5II2Vs9x9XJh2KHLkCXJBZql/FUA9MZIIvw9hosAlkIlKG3+NGNL7KRW6Rn5ckOakw1l/ncnnexNHaChB+bvcgiQgkDJtvLsR2nJLGTmSXltpFFSCjF9qxpr8Nmfg9qFMTzcEkw0JJs5PZiuR266GDmKPc20UKXQFapJ8fpyya+kcI2c2TtKkm7SS05iZeZIwih6DaxMbAim7nOdUJZRYoCmmqOpBxRz0yRcLvct/00iTC+VzJuC00EbJJhgs5zAHTbqTn2l24rRN4pfLJ3715c1x3pit+8eRNd10cVuaqqnDlzhj179jA/P//qPkBepdhN3J7n3XPibrVafNu3fRsLCwv83u/93vOKu3y1J254EyXvqakpSqXSc76Ur4Tk7TjOiGr1+OOPvyB4bnebu6vC1xuYthuDwYAzZ86g6zonHpjjTz5aRVEgYan4QcTVmzYT3VibOYxkBnps0hErf6m4qoka3T2qMP0+10tHbxuYSBK7EqmB9kIyjVIs4Rl62FoCISlxRRx6Qzczk7XcfrazC5i+TcLrokYBHSvPQDkUo8KHc+tY+UziYPU8h7efjvW9kSj1NhnrrPP0wjewmVskJBZ16Zl5pDBAQZDy2ujegGsTJzC9Hnm7EvO4tcQIpSxEXBHKRLEQid/nwbVPDQU+4oWKLIHl92mkpoYuZPpwQSIPZ7nxa83QYay3yXh3g43sIj0zT1PWYvEdEeKJiM1cTOHJDOostG5R7G8TKAbtRJlgSH1TQ280TmDIF/cVIwavtW9x3/YzyCJiM7tIwuuScZsc3jnFOUWnZ+TRvYscWf8c9fQ0Az1F2ypi+X3u2/g8ZXsHKYpIe3HiE5KMbWRIe208WUeNPLRggBk61JKTVFLTzDWvsqdxBU/RiWSVse4GObtGKKlU03Psr13g+OqnYh90WSHptEm5Ta6XHyDrNNFCL6aOCYExFGMRROQGdarpKeYbV9ADh0iSGGixbkA9PU1LLaOIcLhIkmiaeaab19lTv8xWdoGOVUQIwdiQ6dDXkghZoW9kGAwZExGxa9dE6ya18n60+nW2khMIWUeEAZGiUsnOketVmbU3mGwv00qM00iWsbw+VuhgBD2SuHiyTiipQ130GLXvCnho5ZOUextYfv+uuyACNnJ76aghc80l9MjHlzXWcvvYzs7xDY8efMF72TAMpqenmZ6eJgzDkdvXpUuX8DyPZDKJoig4jnPPSo6vV0RRxPnz53Ech5MnT96TGman0+F973sfY2Nj/MEf/ME9q0V+NcabJnnD86+mXspV7JXGvSbv3bZUqVTiyJEjLwowu9P5ZreF/noB0+7c3zNnzlAulzl06BDrH6ug6UP+shvPB1MJBcU26df7w/2TY+qPiPA1nY3sHhYa10g7TRw1gREMsPw+W9mFF6dn3RnDanSmdZ1acgpXTaJGHgMtgZMoY7k9VD2FJymYYcBAT9E3siORjolehZTTpJ0oDwVYZBJum0Pbz5Czq0CMIpdERMLrcN/WF9nMznOrfDim8YgQGSj0t0l4XS5NPgJIOFqSrfw+AMa768y1biAJgRyF7Ppne7JMIojb4bFeukQoKxi+zf6d01weP0HPLOArBoGkxvN5ZIQUMdNa4S03/mLITw8o2RWaVom+maFtldD9AV2rQKm7wfhQnMbyugz0BIe2nqJvFqilJmL+sYC10kEyg/pwNp0ikhktWrTQo5qaBgl81aRvZJnorJJz6nSMPAWnRtaJBUb6RgZf1nEVk5xTQwI6ZoFIlkFAwusiiZC8XSXldmIFteFrTs2+DV81WahdppKZG8ng2lqKgr3DYv0yp6fewkZuDxOtFTKDOtIQzFbJzKH7fbYzs0x01rC8PiDwFJON3CL5zjqTnRX0YMDN0v0Yoc18c4mcU8fTkhj+gFBRiCRlhKYP9QRruX0k/R4zrRvQvB5z0yWZm8UjpJwOSS9GxmecOpIQdKwCVmAz0brFWnYfN8fupzSooEUugazTsEo4ss5M7TLz3RUQEjLbCEkiZdeRZNhIL1CwqxiRi4GH1bcJgR4WSQZkmtfuvgWIpz192SLnVtksnoid+IZYy7xdZSrlMfHAvSHDFUUZVdybm5ssLCygqipbW1tcuXKFVCo1Ar29HF3x1yKiKOLChQsMBoN7Tty9Xo/3v//9pNNp/viP//grbjHyesebJnm/0IW224p+tWcc95K8t7a2uHDhAvv27WNhYeElP38XhLG73dcTmAax9eiuPerc3BySJFGt+xxYTKKoEr1+gKrIFPIat65NoVQu4SqxYQQIIkVHFSE3yvfTN7PMN66S9Lu4isHlyYewjZcQyNlFgI+GexKpQRPdd1gv7ItdsKKIhNflvq2nOD/1GFu5RdqqGc9VkfAVncygRjU5yURvE1dL4KgWEoJ8f4eivQUCumae2KZUkHJaJLxeXAXLGl2riObbKGpI18zhqUbcJYhCLK8LSPiayUZ2gWZijJTTwgjitm4oJFxFRxd+3IYdfnfxTF8l5XWYa15nJzNHnQkGeppQiqvjcneLty39CRmnSdfM0TEmSXptsoMaq/n9NK0yAyOFGnp4mhXLvUoStfQUXT3LTOsmAkFmJCFaIBw6cAWySigpI7UzM3DwVAOZMKYyDTEH3tC8Y7yzCpJ0e/Hl9bAkiVDIRKpKIKkx9m+4uHQUk5K9TT0xTiU1hRZ5uErsIFfubVLobZMf1Khk59gdlcQ0OZOcXcOIXJ6eeweH9acp9baQhKCZKHO9fJRHb/4120aWyxMPYnl9hCQz0JLMNJbwVIPrxaN0kmPYZobQ17C1NErg0UyUMcIBltOPj13RcBUTV7XQQodPHPh2FhtXGe+sEckqq/mDbOT28L5Tv8bxtU9zafJh2lYpBqQ5LQ7uPENy0OThK3/GmUPfxMXJh/FlDTUKmGnd5JFLf0orN00kqSgiQA08LLcDskRbzyNFHlenHmGifYtifwdXtbD8HhkxoK4VKfgNlKF86u4d31OTNI0iW4UDjPU2mGksEagGSujiJPJ03/p+7EFEMnFvMsq7FNr9+/czOxtrmy8uLuJ5HvV6nWq1OuoS7rbXi8XiPbWrX60QQnDx4kX6/f49J27btvmO7/gOVFXlT//0T0eYp7/P8aZJ3i8UuxddGIav6gX4YslbCMH169e5devW8wLTXih2q+tdZ7HXK3ELIVhZWeHmzZscPXr0rv1NJRXWN+MquN70QYIwjOgGGt3CNOnGBm4Ug5OUyKdv5Ogky3SSZZZLRzB9OwZqqS+9CpZDPzbIEBHSMIvvZBZ4YPOzpNwmbStGZxf7W+iRx0CLedeRotNKTsRuW6FPL7cXJBnHyqJFPjICOYoo9TaxfJuWUWCIqIpR5bJGyyojC0E0fHT6moUPw4VErLRm+X0m28v0zTyOSOLLBraeotTbRB0qhkmRoGmVcUVIxmlg+P2YXjYEsoWSihIFjLdXKPS20EOXvpEj6bbZU72ALAQrhYP4aqwtHiEz1V4m4XUxQpeaNUkgaxiBQzU1STU9Q9Mqo3sDXC3BntolMk4TpBhc1rJKbKdncYajDTHk0HfMHFPtmzAgXkAoGgwBgWroc2DnNIFq0kyOxWIsxNvzJQkrdDH9oczrUBXNCAcoIkIVAU0zN5KbTXgdjmw9hTqcDY+3V9nKLcaqcwwXNZJgsnmDa9OPcmr2azF9G5mIgZogVDRu5fdzfPMLVDIzDPR48bJYu4QSujy55z0oSqwql3TbhLLC2ZknKHbXhyMLkESEOlwsaLjDhVyFlN8j6XVRRERPTxEqCrlBBRlBqbvJE/0/p2XFnZucXUWJQlYz84SSxNdf+n020os0kkXydoPpzk22MgvcSsxR9NuYwQBPMeiaOVZy+8gMGmT6FVQR0jeyNBJlDu2cIkChbo7hyyqyLwiHC9BaYoKWkafg1Mk6TTqJEpJhYkYeqgJC02lpGZRqjyh6Pijbc2M3cR84cICZmbsFWnRdZ3JyksnJyZEg05264vl8fgR6SyQS9/R5ryR2E3e32+Whhx66p7b3YDDgH/yDf0AQBHz0ox99RS6RX43xpk/eu9VsEASvS/IOw5Bz587R6XReEJj2YqFpGhcvXmRiYuJlOXy90oiiiCtXrlCr1XjooYeeYz26MJvg45+q47khyaQCAq5c7yPLEkEiSyuVobfTiUFqeuo21Yu4Feur5m0a2EvogifdFj2rMGxvxnSZ1cI+SvYm082bjPc2iCQVTzG4Xr4/1skOXLwhZ1xICoF6uwLxVQtfGGiRRyTLNJLjOGoinhkOHcikKESLfDpmNkam36W8Jo06AabXZbp1g0DW8RQTLXDJug0K/R0iScFX4ppJSDJJr0MtOR4Dwdx+LDgybMv2tAzF/jbnpx9nOzXNVHedqdZNQllmJztLblAnVDQM3wYEAy2FraeJhm3olNOikpmJZWBTE+i+w97qOS5PPMSKcYhbxUPkBnUAelqKtlVADDsAoawhESFHITvp2djb2mmgRAGhopJyO/SMLFrooyDwJBlHS+KqFqGiUU1NUeht0ZMV5utXSDptfEVHAvRgEHuF+wN8WcPybfTQIe000QOXG8XDJP0ec81rmH6fZmIMhYjMoIkU+azm9iGHfmznqafYndHHgLR49JC3a6Tc9gjguFI+QqhZdKwCRuDg6Eksr0fKaWGbOVJOm66ZY6Cn0AKPQNbwFQMjsJlvXcfY9UpXLbKDOrOtG7SMPJ4WswJCWSE7PJeerKNIIaFqEMgajpog0AzG7BqOYuKqCRwjSTboU+pv0bTKbGXnQZKYbd8k262wUdxHOuhxtXyCzewC6UELM+jjSRq5foVA0lBE7B431V1hsrtCR81QN4tooRuPgAaN4Y0r09YLLKxfw4jeAbz4c6bRaHDmzJnnTdzPDlmWKRQKFAoFDhw4gG3bI9DbtWvXRn4HpVKJbDb7qo30hBBcunSJTqfDyZMn7+nZ57ou3/3d30232+VjH/vYPVsn/32IN33y3nXYei0cwO4El8FtYJqiKDz++OP3nHjv9OB+6KGHqFQqrK+vc/nyZXK53Miq89VuBe36mvu+zyOPPPK8M6IoEliGhKqo+EG8ws/ndKIwotsL6fTCWF7zxeJuZ4cXkCYVOHoGNQpiUFLck8VXTZ6ZfTsb2T0U+9vIUUDXzFNJz8Tyki8Edtv9DEnBl+PXrBcOsFrYz3RrGSvox9rgkoSvaDhaAiErqIFzB4BOjCrvxdplTqw/yaWJh6mnJggkg+nWF0i5HbpmPm6tIyGJkOygQcbtxMlCDoaAOVBEgOnbhJLKTmYOX1JZLh1huXwUgP07p8ltfh55aKhi+TYICVUE1JPjVFPTKCJk3845Ul4HIUmUupu4qknHKuKrJp6eoJ6evn3SxdB4RYkpcQKFUFGoZuc5N/NWTqw9GQuRhNA2C1wbP8Fs41pcAaoGHSOHQoQ7pPdJksSFsYfI2jWyTgM9chFIDLTkkMaXxdUSsf84d+iJT50kQibltsgPaqTaHQQyjhLve9rr8PVX/pBIVtjM7mE9vw8hSRhen0gxGMgmVuBgBDaummAjt4dacgrHyKCEPoEkoyLomTkCWSMzqDFbv8xK6XAs36royFFIMuwwX72EHjixm5gIUfQMSBIpu8Vk8wbnpt5Kwa4QySrd4bWghx4hCq3EGGem38pDyx+j6DbRQxdZilgu3Mepha/j0K2/48r4SQq9LQ5unyaUFbZyi9ycOkG5fpMze96BbeRwtQTV5BTj/TXKnXV6cgJTODiyhRG5dPUsTTOPbeTYUz9PVDW4NP9WaslJtMjDUwxSvTqL3VPgvjimZzdxHzx4kOnp6Re/V58nEokEc3NzzM3NjfwOdh0ahRCj9nqpVHrFFstCCC5fvkyr1eKhhx66J0VMz/P4vu/7PiqVCp/4xCfI5XKv6LO/WuNNk7xfrL38WoDWdiv6KIpQFIVWq8Xp06cpl8scPnz4nlejz1ZM25X627Nnz0izt1KpcO3aNVKp1IjPuWuJ90rDtm3OnDmDZVk89NBDL9iV2Nh2mBiLb6RKzUeSBONjBr1+iOs5o4T+4vFsd66IOwVXdl/jqwb5/jaeZmEPk4EkYlen9fx+1gv7b29vN16oqpeIEebS3ZX4ueknSLhd9NAbiqJI1JIT7GTmY5R46BHJWsw1HiZAOfSYb1xhrLtBvl/BCFzWC/sY767HSHNJwvRj+8dIiivkpNumkp5GAnKD2m2ZWNngVvkIQpKZbd0g4fdxVYtKepat9CyLxmXSgwauasUCHIMqrmrhqAk8RSOUk8giJDsEddXSUyyVj+GrJkm3jRE4DPQEjpYk9r5+tvHK7XO1lZnHWXw3GaeOL+t0zTx5u0q5t8mF6beQG1QZ764z0JNDCpwTt4YL+zi2laVplUj4/Xjxo5hIkkRhUCVn13A1E8u3cbUES2PHCOR4IfCR+/8xj6x8jHy/SiTJdPUsCoLF+mU8xUARAePddRZrF7lZOkI7USbptEBWSLh9HC2m6B3cOUV96KJmhA6RHIPSJBFh62ksr8uxzS+AJFNNTREoBgJBub/N4e1nCBWNrp4j6XdJed3hVSkNfeJjOd2JziqWH+ush5LCRm4RR7M4uPV5PnfgfaTcFim/S9vM4comD936BGqvSkJVuVU+wjXVgAgSfpt0Z5tkd4uiXaGdGMP0B+yvnUUKAppmGT0YoAY+qvDxJY2+kSET9pmvLtNVk+xpXyNxy2GzsA9bS5Gzq8zXr5CSPeTcC7eJ6/U6Z8+e5dChQ6+Km+KdfgdCiJFt561bt7h48eLITvhO286XCiEEV65codFo3HPi9n2ff/yP/zErKyv87d/+LYVC4cs+tq+2eNMkb2BEr3p2vFbe2xC3yXeBXvv372d+fv5lWXm+mLGIaZojJx3f90dWncvLyxiGMUrk2Wz2ZSXyVqvFmTNnmJycfElfc1OX2dh28f3b5/XmrcHIcOtFBOGeG8PPkcOISHm27QOAoG2VyNsVsnaNUFaxtSSulohdpoaOXr6s4SsaAiW2Fr0zd+8KnQtQopDwzs8RgvXcXlZy+5EkgRm61BNjrBYP0TOyyIELIiI3qOJoSSJJxvJ6TLSWUUIv3p6scmTrSwhZpm2VmGrdIj1oIA/3Xwwr7EDW6BpZeokSm7nFGCEsSZT6m6iRx9cs/RlZpxFXswgaiTJfXHgnp2e+hsNbT5N1ashRSDU1xbXxE7TMPJ5i4msJzs69jSv+AFlEDLQkeuhyfO1JptorqJGHp5is5fdzefKh2PWMuPpWowBJDH2/iTXVEQJXSyKLiNnWDSZby+xk5rkw/Sj5foWJzioZt0Uoa9wo389y8TChojPduomQZFpGIZ7Hqxan5t7OXHMJ07dRooh6cpyVwkG203NknSam16WaXeBj9303BXsHLfRIeB3u3/wCjmrhagkiWUENXHKDOmmvhW1mmGksoRKyXLgPhQhJRCTdNoGij0RZTL8fjwYkBUdPkHbbGH6fkyufpJkcw9GSGMGArF2ja2RRogBHTyAjYr69FDMFXMVksnWDS1OPs52ZZbKzgkBiK7NA18xyeOOLPD37dTxy869opSZwVYv53jaTnRXWEtMUdJtE2OTA1lMoIsQMXVpGEdOuc27qLRT6Va5OGCxsX8JTTdJh3DoPZZXdW0kVPhPdFQI0OlqGjN8mkhQmu2tM9taHUsARQoBvpIncAJ6n4n21E/ezQ5IkcrkcuVyOffv2jYqNO207d9Hr+Xz+eQsaIQRXr14dje3uBSEeBAE//MM/zJUrV/jkJz9JqVR61Y/tqyHeVMn7heK1SN67F+L169fZ3Nzk+PHjlMvle37/y5U61TRtZFQfhuHIqvPMmTNIkjTy3C4UCi9a9W9tbXHp0iUOHDgwQpu+WJimTLcXkkjIpIaI1m4/pN3ycD3xnI74vUQkK7HC2qi6BYQgMWhiW3nq6WnkKEARAZGQyA3iFm2s/y1Iet24rZgcj82zpDu2M9qbWIFLiYJhSzs+J6XOKuXeBmmvg6fGBhsSsJbbR7m3zo3y/ahuxEL9MtlBA08x2M7Osx667K9dQBYRSa/DyZW/pWXkiQA18u+w4oxb5JX0NAm/R08MwXGyhBY4RMhMN2+Sdhp0zfxwRCAo9CvMNa5xefJhPr3vm8k68WyzbRWJJGVInbt9rnxFj0FhIuTIxudZbFyha+ToGRlM3+ZA5QyuanJ9/DhK6JHweviqMQTMhWQGDTpGhu3sHOPdDca6a8hRyOWpR9nILeIpBo6WZLl8FFkIxFAxDSBjV+gaGcZ6m1hel0DW2M4uIGSVamqK1cI+snYztkbVUmjCZ7J1nUpyEln4gEItNQHA4c0vIkUhchSS8LoMtBSBauKrBsXeDgEaOa+FbWRwdQuBjISgr6cwggFG4Az1z2NGgRBgBjaTreVYXCf0Sbtt0k4LCZBFODQ+kci4bSIBEhHKEPS1UVzE9Ac8uPokl6Ye5sLkYyAEWafBwzc/wUZ+D71EgdOZr2OivkS5vUZfT7KRWWR++wwVa5xTM1/P3soZFquXUKOAcW+Vp6a/lqnuKl4yz1ztCg8vfwJf1qgmp1EDh/HB9ugKdiQDX9Wx/D5ZP1ZX81WTSJVR/BhwF8o6oZDxEylk47mP6Vqtxrlz57jvvvuYnJx8mXfoK4s7i40wDGk0GlSrVS5evEgQBHdJthqGgRCCa9euUa1Weeihh+5pLBiGIT/2Yz/GqVOnePLJJxkfH3/J9/x9ja+a5P1qt813FwOVSoXHHnvsZSEcd6vtV0oFUxRlVHXvIkMrlQqXL18e3SRjY2MjTicw8gxfXV3lgQceuOfVqhBQyKl4vqDdiY9Z1yUSlkK3F5tjEEV3cJWlu0BrzxuygohiL+dQkhGSghp6+Fpi9N5IVokkjWJ3EyNwiCSZhN8bCpooKCJCDxwSbptGZjjH223ND09nNGyZq1FMhbK8Lm9Z/mvMYEDPzOGqFqZvc3Tzi8zXLnFz7ChCVmknSrQTd58fy+vQMovIxA5qlt8jVAzaVjGWJh0pyRk4qkUjMUbWaVDqb9PX0qjCx/JtGtYYWaeOq5hIxGIjQpJjbW2/ixa6uJpFM/nsh5IMUUTabZFxGgSySi0xgRXYTHZW6Bg5HD0JSNhGBllE7KlfYiO3GKPoZRXdd5CIq1Y98AiRaKkmPSNDxzrGQEsNzyGjBQKImMs9XKaVO+s8uvzXSMMWcyzL6pEZ1FEin0ZijEK/StLvUhhUaSTHMDybnplHi0KmW7fI2VVU4dOyyihRnEx91aTU2wQhCBUdw+/jSwpTzSW6Vp6hKCqqCIhNVGCst0EjOY5AGp2TUNHJ9avcKB5hoX4ZQwREkUeESiRLqAhSbjuWYR0CCcNd5sHQ2rSnpdFCl7dd//NYxhaJQFFZKt2PEgWYfh/TadNLjlFwGpT6VUqVq6xNHcMRsUjR5alHkYeLMltLEmg6mUGdzGCTYxufpa+mYnrgYAeFiDD+hpEAQ7iYvjv65iMgsFJInk2Qjs198Fwk38M8egj1WVX3G5G4nx2KolAulymXywgh6PV6VKtVNjY2uHz5Mul0GkmSsG2bhx9++J4SdxRF/It/8S+CGBYTAADIVUlEQVT43Oc+xyc/+ck37NjeLPGmSt4v1DZ/tfXNB4MBp06dQpIkjh49es+J+05gGrw6VLA7kaEHDx6k2+1SqVS4efMmFy5cGK126/U63W6Xhx9++GUtNCRJopDXGS8bdLoBkgSZtMrZC22E8JBEXDXFnOkgrkBFNNSsfpFzIasEkoIk4nMRyPrd7xmel5xdZaCnhijhAQpx2xwJUm6LnpFhNFOHu8Bxum+THkpfJt0OAgk99OhYeXpGDkWEeKpJqGhogYsr6c+78Eg5LeYaS3i6BSK2v7SNDLX0JHlbYUfPYgX9EThLjgJCRWc5f4hEaJNyO/iKzvLEYTpGjkdXPoEUBfjCIhqqpgni5CHfWWHfPlvIUcCRzS+wv3KOhN8llDVqyQnaVoFSb5OukUcCBlqSXZvRpNeh3NtkpnGdm+WjSBIYXh8JgSwEc81rHNl+iqxTB2Sq6Smujj9IxyzAcDEmCxBDBTUpCrlv6ynSTpOmVaKWniLhdCja2/hDqpmMQI88Qkmll8ijRAFzrWsMlARG6JAf1GK0+FDcpa9nQEQxylyzKAyqRMMkLSO4lT9AJTXDoeoZtMAjVBSEJJFwO7GaXRCiCYeumUcPHHTfYTMzR8ZtxddlJEiF3dFlIYAABV1W4xm3ZuGqiSHGQGKmvUxPtrg1dj/Xxh9gpnWLUFJYzy1S7G1T7qyjhy6uauHqSWQErm6xNXGUgl1jW5tBi3xsLUU1OclYdwM1cDi+8Xl2jDIzvR0A0kHvrm+4KyXJiP4d3/jt6Fglyl/zEI3PnUYdxN9fqKiE0/M8/tPfe9d2qtUq586d48iRI0xMTLzYLfi6hSRJpNNp0un0CMtz6dIlms1YL/+ZZ54ZtdcLhcLzmo5EUcRP/uRP8jd/8zf83d/93T11Df++x5sqeb9QvJqVd6vV4tSpU4yNjeH7/isGpkmS9KpzuO/UNd63bx/9fp+trS2WlpYIw5BMJkO9Xo/tAu+Rqzk/Y/Gl021AMDkeA0kGTogpRyjESSeSlFG+kRCIKATUl0zgSFJMY3oBe04AJfIp9jbZzO2JEc9D5bXx9grLxftwhkhh4A5AXBx9q4AeepS7awSqieV0CBWVgRpT2kJJQo4iBpqFHjg008+DxBWCAzunyTl1KslprMCOW/xDoFkoa3iagTtEJQskivY2O5k5dswS2aBP2yoQoFK3xvAVDU8xyXg1Mk4LTzVjG0wRoAcueuCMJDlHj3ABe6oXePTWx+P5LDISIWOdtThpEiez/KBKNTVNMzmGGcT8el/SObz1FBm3yWrxIK5iYvo2+3fOkHZb9Mw8HSOLBMw0l0g5LT6355twVRMhEcvIDoFgeXuHrFOnnppEFgJPNegZWTpWnsygweHtpwhlnbX8PhwtSbm7zkL9MplBnVBS6RsZAtXA1odgxCig0N+mnSihhj6eauGFLnrg0dVzLI0d48rEQziqScGpUeptIogtOwNF48r4g4SKyrsv/y6eliCQtViRTEshhx4pvzOs2J8FaZTjBYAcRZiBjRE6CLdNiEwzOY5t5rl/9TO00hPUU5NIIuLo5hdRQpe2VWagWaScDq6exFcMLK9HtrfFRmEfni1IhB6SLhCyQtppYqCymt8HvkPE7gDndrgotIwsqi8ww8Ed+ywxUJOsFg7wjf/f76by6YMs//UpAsentG+SAz/wXrKPHBttZzdxHz169Cu6nbyxsUG32+Wxxx7DsqyRZOvVq1dxXZdCoUCpVEJRFKampoiiiA996EN85CMf4ZOf/ORXrIHKV1p8VSTvV6vy3tzcvAuY9tnPfvaetvtGWHnuxvb2NqVSiX379o0oHktLSySTyVHr/dlOQ3fG3oUEJ+5Pc/p8h2o9Fo+RJDg+5bGzbNOWEjEhKBLsTsCTXpe+keG5j6kXiF2Q2fNk8GpmjkeW/5qk16GSivmp5d4mqUGTi1OPvmDi3o1maoJWcgwtcDG9LrPtmxihg63qQAxSMj0bVzXpGdnb25HiP8ygH3t2axkcI42rJ2K/cC2JHgzYys4z1b6FpxgIJKygT8cssJ2eZbF6jrnWMpIEvmIwaFzmZukIkYCM08Ty+/FiRJIIJA1P0rhaPvYsBH2MDDy69QWSXhdHTTAw0pheD2UoDNM1chihgxL6lLuxw5sqAi5OPoynGoSKymxziWJ3C08x0COHvF3DU01uFe8bnX9f0Sn2K0y1b7Ga20fa61DurhEqOpXUNNGwsSuQkEVAZoiKjyQFPfIp9bdRQ5/ZxjUYdhRkIWKpVCHhaBZttYA8/J6FrOBrFnIUcmn8JInQJpRV2maeZqKMkDTUyEEWEU/Pvp3JzgoFu4Iv61TS0zQSZZ649qe4eoq03UAmQkIwEfr0FSs2luG5mAw18uJOjwThLutBCHQ8iAISfo/LM48x3brBfdtPE0oyW9lFGokSM40lRBRRyc5ieX1036ZnZOjLCWwMFC0e8QgkIiRu5fbSVzOUO6tsZ+bp9ZNICMww9gnvaWm6agYlCkFWsdVsrP0uKQy0JL6s0cxOYcxOsPeffS+z3/XNRI6HXi4g67fb5ZVKhfPnz3/FJ+4bN26wvr7OyZMnSSZjimmxWKRYLI445dVqlfX1db71W7+ViYkJMpkMq6urfPrTn2bfvn1v8BG8eeKrInl/uYA1IQRLS0usrq7eBUy7l+2+UYm70Whw9uxZZmZm2LdvH5IkkUgkRsj1XdGFp556Cl3XR4C3XC531z4qisS73l5m73yCW2sDwkiwMJtgIlLZ+eJlzkWzNP14Dq1GPnroYHk9BnqKeweiv7CASzM5xuXJRzi0/TST7VUABnqKc1OPE+16db9A4h5tXZLxdAtPs9jI7WF/9RxCknFVCyOI3b7OTz0yFJSJH6K7IUUCmWjoODUUglFimdFCb5vTc2+nkRhntnUDNfK5kdvDcukwxf4Ok91N+nqagZ4i5XbIDOocXf8stp6mZ2RpWwWSXm+oviboJErUrRJaEKuRCVkBIVBCj0K/QoSMGdhIIsII3RiZHfkkvB6N5Hh87v0+RjjgwuSj3CocIuG0qKUmyQ7qWMGARBCLxoSSgqOamH6PhG8TSRK2nkFIgky/xiOtm5TsCurQla1r5jgz9VbaVpG8XcGXDQIl9jpPu208RR99h0bkxqYww29WCyUcxQJJoWdksQIbLfKAeJ5r6ynKvQ2qmVlq6WkQAi0KgIDx9ioiCtgqHGArO89Gfk/8nYiQ8eZN5lo3UEVIMz0Rz5ZlDVkIpptLPN+SUAJsxUImNpFBil8hDXdWi3xkt8N4Z4X1/D4uTz6MLCIK/W1ma9epJ8foWSVUEVDurGL5PRpqkchI4Esari/wjCyW1yXX2yZrNyAhU8tOofkOkhRbjsZq+4JIUjD9Po6Voa6kKNo7yAhaZgGZiGp6FiWfRy/mAUZ/3xm7ifv++++/ZzXHNyKWl5dZW1vjoYceet7RnSRJJJNJkskkCwsLXLx4kQ984AN88pOfxDAMvvZrv5b3vOc9fPM3fzPvete7/p8gy0vEmyp5v5i++StN3rvWmL1e7znAtJfa7pcLTHulsbGxwZUrVzh06NDzijJomjaSQtxFhVYqFc6ePQtwF3JdURQUReLgvhQH990+dhFafN3+gPDqKhf8LH4Y21mO9TZpJsZuJ9aXjJdWXlstHqSSmqJo74CARnKMgf7ylOt21dKuTD6MTMh0a5mE3cVXDG4Uj3CzeAQ5ikFlfSMzmn0P9CQNa4yp9jKBrCNLcYfB8roMjDS2mmRp7DhL48eRRNwqBTi28TkiWaFv5jC9Hq5mMlATjPfWsAKbRmKMVnJs6CYmYfh9jGDAVHcdx0jT19MwvLSkMKaeIQkiIaNHXuziNpR+BahkZghQGO9tcGHyYa5OPIgAfKvIenaRCBlHjccDqggp9TYxQpe55nX0oVVrKClEskwgKeScFh0jR8coEMkSWafBYuMqlydOcmLtU+QGtZHwSStRZKVwkONrn2assz70wI4j1soT9Iw0ATHIzDay2HoKgYzpD9jKxhanByqnMYIBHasIQHZQZ7F+iZo1RiM9g5ASiChAFgI9GPDw2qdIex0kEQ2tWmOgoKsYJLzuqOJ+9hXWSE2St6sMlFh9TxKCQI2PRRMhS8UjHNv+Itl+FUdPIROSHLTwFINbucfjbgQaqu/QMksMVAuhmKR6W7SVLCmnhen2sPwB27kFEAJPNelaSabcCulBPWbgiwgrslkr7ifX2aJeWCBUNJJuh2ZijJ3sHI5m8W0nXhijsrOzw4ULF77iE/etW7dYWVnh5MmT94S5EULwv//3/+app57ii1/8IkeOHOELX/gCH/nIR/iZn/kZXNfle77ne16HPX/zxpsqeb9QqKrKYDB42e/bBaZpmsZjjz32HMW0F0rerwUw7V5iV1N9fX2dEydO3JNwwbNRobvI9StXruD7/ghI8mz1JElROPp934jy3/4A6cmrDDAw/Fgi81bp8PMoqD3vHvNSiXs3HNVkY2iDOYIeDXW6X3Dbz/N7XzU4N/UE10vHsII+AzVBX8+wq4Nt+H0CWcVTraH8ucSN0mGK9jZjvfV4Ph35+IrBtfETJN0WnmaCpCLu+CgtjPnWeujQt/LIYTACyKlDmpwW+kMaWzzzV6KQcm+dtpggkGOP8EiSkWWZzewCBbuCo1mx8YUcYAQ2ShTSTJTjqhGfrpmjmplDEeFQPKbH5clHWSvehxEMSLodSr1NQklhoXEVIUl4ihG3cgObKJRIen10v09CUggUjUDWaRt5xrqrXJh6lM8vvovZ1o1h29xkLb+PnpFjX+UMk0SEKMPmukAg48sKeuDh6iFTzSVCWcVTTfpaio3sHiyvR9fKUxhUWKhfiTsgw+9CCgO2c4sEqoEsIJIkIGKudgVdeHTMPKbfRwZM32aqvcxATTLQkljh4HmvroGWICfJRIqKvYtVEIKE32OgJalkZ7mowGTrFlmnQSgp1NLTbGbmsfw+ZruFIYX4egpPtci6HcKoh+L2SaRLjHXXObBzmr6Wopkqk3C6JN02ptMh39/GNrJ4ioEROshRwHhjmYFqUfKb9CUT20izmd+DLMvstW8ykdmL7/vPUS/bTdzHjh17WTTV1ztWVlZYXl7m5MmT9yQXLYTgV3/1V/mVX/kVPv7xj/PAAw8A8MQTT/DEE0/w8z//888LTH658XM/93N8+MMf5sqVK1iWxVve8hZ+4Rd+gYMHb1usvv3tb+fJJ5+8630//MM/zK//+q+Pfl5dXR11CFKpFN///d/Pz/3cz72uZi7PF18VyfuVVN67Iv7j4+Pcd999zwtMe77tPtuD+7UApj1fhGHIhQsX6Ha7PPLII6N50ssJSZLI5/Pk83kOHDhAr9ejUqmM1JMKhcKoKjcMA2vPLGM/8n1sXP0Y2qBL1UyznZlDqCZqCMGLnnKBLEv3LPKiRgHBiBd+B6f7eaVWYVde9fkWCIYXO531jUwsjxn5sZiJJCGLiIzTwFdMXNUkkmT00OXy+IPk7QoZp8VAS9I2iziyweGtp/nsgW99zufspGc43NuiqRXJDOo4ajLmrUsKPSOBLGKqnCJCPFkn4zTxZQ3dd9B9m5Tbus1dRma1cIDx7ioZp4kWOYBEX89QTU5ieR2K/W1sPcWN0lHqiYnROVGjgECzaJpFzHBAK1FiLb+PY6ufYqqzjB56aFGsEtfTswhJIul1kBBYfo+E38NVTWwthQQUexvsZOa5Xn4AMXRlE7KE7g/Yyu5lT+0KgaLFSHAkPNVARAIrtOmHadZy+yn3NtCDAUroM1B3qGRmUUKHzewiU+1bJL0OEOMErowdo5aeimfSoRNbkypJcl4TW0vTTIyTs6sk3TYDNUHS7xIoGtcL93Fy/VNow/bFnY96KQzpGRkSfj+2cpXkWHdAUlgtHMAzMixb99Mxi2TtCkJSqaSnaCQmOLzxBcxBg06iiBI6qMLDiySyXhtb0nj75t9ieD3MyMHye4BgpXgfm9l53n7lj4aLNx/L6yKQqacmkAKfeqLMfd4KiQCaqUmmnU2KgyqT4Q6tXoknn3ySXC43Wkh3u10uXrz4FZ+4V1dXuXnzJg8++OA9tbmFEPz6r/86v/iLv8hf/dVfcfLkyed93avxTH3yySf54Ac/yMMPP0wQBHzoQx/ine98J5cuXbrr+flP/sk/4Wd/9mdHP98J9g3DkPe+971MTEzwuc99jq2tLb7v+74PTdP4T//pP33Z+/jlxJsqeb9abfONjY2RkMmuNea9bPfO+faupvrrEa7rcubMGWRZ5pFHHnlVzEzupHfs3bt3BCTZ3t7m6tWrZDIZxsbGsLJ5arNH6PUDLENCFmAIGLjRqO17d+wmOYliXsP3I/p2hK5BvqDS70ckTJVq3cXzb78rklX0wMGXNYR0m3ccJ2/lbvnVZ4HOnp3cPT2J6feJhEYkxVrfkojI93YIZRVZRCiRj+mHWG6Xyc4t1gsHGWhptjM+WhRg62lKvS2qmZmYGicpdy0kVgoHma9dZqqzghr6aJFHKGtcHjvOrdIRHtj4HGm3jRL56KFLz8iyNH6Ctfw+ZCFYrF/C1lOxCUrogSRxbuZr2L99Givs46oJaskJNrN7eOjWJ9jILnB97BjbmTnUKH59iISnJZhpLrGR2xt3ExBEkooZuYCMpxixHrgUq9bl7Spq4CFkmb6ewlNNAkVHDT3U0GOiuUzDGscIHXpWnkBRY46+rFJNTxEO1e9sPTPk2QtygxogEUgK9dQ4tfQkCa9HflBjO7fAxYmTHNl6ipaZoG6NkfbaIEl09BwtM4ccRchE+IpBJKlogYMkIkDgaBZb2QXSToOM00KPXJbGHmAlt4cHNj+PGoV3Ld0EMN28xpn5dzDfvI4eDIZzaJN6cjJ28rK36RkZaulptnILtM0i2UGdx259jOXCfVQmH2K2foVyfxM5gkBAN1VisnGNnFMbYgpUlkoP8KXFb2C6eYO3Lv0FwvdBhChyiK2n8RUd0+nQMAqockQQSSimTi7qkutcxsuNYUdjzM/fx563vnWEU1laWkIIwdjYGKqqjsZyX2mxtrbGjRs3ePDBB8lmsy/5eiEE//N//k9+9md/lr/4i7/g0UcffU3376/+6q/u+vl//a//xdjYGM888wxve9vbRv+fSCRekHb3sY99jEuXLvGJT3yC8fFxjh8/zn/4D/+Bn/qpn+Lf//t//5obS71YvKmS9wvFvWqb7yr+rK2tceLEiZcUMrkzeb9RwLRut8uZM2fI5/MvS1P95UYikWB+fp75+Xlc1x1JtV65cp2kkaLZUnDdIQ2Ou7DSd8Tt6lSWwXHjRU46pZBJqezfm2QwCNmuOHclboiTtxw6GGFEJMl4sno7ae/GiOv94uc+klVCWSVnx7rhrmaRHjT52mt/HJuOyDqhopJ22kihjxk6uGqCnewcnmzhigjL6zLbuMat4qHYB1zcRi0Dw9awhRr6SELgyxqumqCZGGMjvxdfVhnrbZH0OvT1NBv5RZqJSXb12K+MP8h4dxXDd/EUHW9oEbpePIAS+rcR+rJEz8rz9Pw7huIsYaxCJiKQFSQhGOtujhzDHC2Jq5goUYiv6rSsUizOAqNENhi6elmBjREMhu19naXyMdYLB3AVg0iNEzpIcUIdosK7Zpak18UMBoSyMkLEu4qBq6eYb1xjKztP30gPBU9sHrv1cRJel3JvCzUK2M7MUUtMMN+4gjN+Estp4KgWfasUH7MksZWZ57BdJUIhUhQ6VpFQ1rD1JJcmH2amsYQuAgLU4WIvHoEohCiygjHosFQ+StprIw+lXF3VQhIRAy1F3q4RJjWmmjco2jtMNW9QT03RMot0UmNctXL06tco9CtIkcNC5QKDoQGOLGLRolJvnXdf+B1SXgtPsaikp6npFp6iURjELmKV4gxKFLK/dg47nSMwE4SpLIQRaq+Hp1nUMlMcsSxmZ2dRVZVms8nCwgKu645wKsVikXK5TLFYfMXmIK9mrK+vs7S09LIS92//9m/zoQ99iD//8z/niSeeeB328u5ot2M1u2ePG//P//k//M7v/A4TExN8y7d8C//23/7bUfX9+c9/nvvvv/8uhP+73vUuPvCBD3Dx4kVOnDjx+h3As+KrInnfS+UdBAFnz56l3+/fs2Lanc5ib0TirtVqnD9/nvn5eRYXF1/Tz/WDiNV1B3sQksuqTE9NUypPcnNjhyDaQUQBMXZYGhJ04gQdjtrid7eVTUMe5liB40WILly/2UNxB9RqDqYfEckanjI0KZAkHC2FGsZIZmnoCIb03Mr6JUOScLUkoayiBy5Jt4Pld4kUlcn2CtXUNMl+ZyipGXKzdIQDlTOxfKeRQQ59pjq3YuGVwn0ooU+0u5/D5D3bXCLjNrlROow2dErTQpfZ1g1WiwfpG1mupKcIhrKqu+dI8xx8I4GnWqzlD8a/iuJK3NESdI0cKa+NEoUEUnyuO2aBgZZAC1200B0lKyUKMPw+tha3AFNeh4zTpGMW6GtJNjJ7KPc3MT2bSFZQRMB2eg4ldNFCn7HeBvqQ5z3Qk+ykZ9jJLaD7AxwtVghTQy9G82sJ6okx/vrQdzLXuokWuqSdJgW7QtsqknJbCEmilSixULscn/vQxZc1emYOPXDwVIuBZjHbXGKueZWBlqLR36CZGGeis4Kjp3BUC5BYy+9nrLdFqb8Vo96jAAEsFw/jqgal3hYgELI2VIgbfjdRiBASUuixWLuIGvoMjDRK5NNMlLG1NJ4Sm7RIEiS9DqXeFuuFA5yaeRsTret0rQKOkaKTKHNy+W8IlNhqdPdajYc1EqY/wNeM2CJ1UCdMTjDXXaFjZGkkpwhkBQWJie4q/XSZ5uQBZnsr6HYTCQg1nY3CXsZFnIw3Nze5cuUKx48fp1gsDg8pNgfZ9Ty4cOHC6+a9/UKxsbHBtWvXOHHixD05fQkh+P3f/33+1b/6V/zJn/wJb3/721/zfXx27Kq3vfWtb+Xo0aOj//+u7/ou5ufnmZqa4ty5c/zUT/0UV69e5cMf/jAQU3GfTc3b/Xl7e/v1O4DniTdV8n6h5PVSlbdt25w6dQrDMHj88cfveeUqyzKu674hiXttbY1r165x+PDh11wmsNbw+Mu/qbK2MSAMY3nU/XuSZNMq5y738XyIQdaxalY8x44Io2ES321fA7oGYSShqRJ+EBFGMVEniAJqy00CZBQRIgkJOQpIEDBQk3FOlCQC1eRVkdvZ3ZZiABGF/g6yiGglyqS9Fj0jS9cqkLWr9PQsLavEVOcW8d4KBlqSi1OP4JkpVN+BKOBOB7PxziohsX520uvCsKJTIg8zGGDrGQx/gKzohHIsEasFLmm3Qc24QypyuOaJhvP4ZrKMp1ookYejJUl4Pc5Nv4VCv4KQY8peKKlIQ8qXFdjU01NYXhclCrGtFIoIcfQkVyceZKF+lYXGFRQRUk1Mcm3sOPur5yj2d1jL7QVJIVBUEl6Pw9vPUEtN0k6Og4iIZAVPMkcKca3kBK3kBNXsPGmniTqUEtV9m33VC0x0VgDoDzsErUSJjcw8B2oXGKgJhKyiDo1TSv1tBBLpQZO2UUQWERPNm6yWDuFLCr6R4dTMWxnrb1HqbhJJMtX0DJu5PaihF9P7kJFFgBwy1IGPr0JP0ZkabKFHQTx7J8IIXHJ2nWtjx9BDB1tLxoIzhf1cmnqUjpElO2hgBi49q4AaOnSsIm0jzVTrJqvF+1guHWGxv4IZDJCJMIMBiaH2++cW38Pi5jNk3ToJv49KbHdb6q5DGLBVfpC1+ZMoyiLJbg0kiWZqgoZrUPQbo8T9wAMPjBJ3fBnfNgfZv38/g8Fg1BW703u7XC6/bAOjVxKbm5tcvXqV48ePk88/l9b2fPHhD3+YH//xH+cP/uAP+IZv+IbXdP9eKD74wQ9y4cIFPvOZz9z1///0n/7T0b/vv/9+Jicn+fqv/3pu3LjB3r17n72Zr6h4UyXvF4oXq7x3gWkTExMcOnToZSmmKYpCs9lkY2ODcrl8T1Z2X27suvBsb29z8uTJ19zDNowEf/3JGssrNlOTJoYu07dDzl7s4DghAzei0w5QwgBJlhCygixDJGTCECRJxD9HQ21qDSxNJvAFqaSKqshk0gr+doXNIY9Z1RTCUOD7sYqXrPiEvPxWoCzHRflzvvooJO220YMYHd/TY6lUkOgbWWQRkRvUkcVw5t1d48n938ZEb52008RTLbbTs3QS8UM0UHQydh0kiYGeIpRV1NBnrLd5GzcnQcptE8oa6UGTjlHACvuxOYsAJXAp9HfI9Kp0EkXy/QpKFNBOFBloaSrJKRaaVxnoGWwjhRIFWF4PRzNppCZ529Ifs5Hdw0BPxbKgSEx2VpjsrHC9fIy+mY0tT32b6eYNGslxHC3Fmfmv5czsE1i+jQQEssr9m1/Ek3XM0MUIBgSySl9PYfk2Ka9DOzUR69ITc9EjafcxIUEU4qsWjZSJHPpxsogCcoMmU51bmL6N5PXwFINKepax/jZZu0ZCNfEVnUZijJxXRRAL18w0r7NYvxzvm6Iz077JxclHaCfKDPQMN60CN0pHMYKYTRJJ8RzfVU0iWUUN3TukUSV8WcPRk5j+IB53KBoJr4ejRoSqRsZt0khNEkkqht+jo+eJJIm00+ZA5Swrub1IIsLRkqhKwHbhIDcnHiAKJcZbK8gIaokJFEmwk55mK7OAo5rMNK6zXjjAeKNHwu0w3l4hkFR6WoZaYR/qxBSzcos1cwbZnB4SJQQH/SUSsjGquF+KQWJZ1vN6b585cwZgxB4pFouvOhp6a2trtMC4V4vOP/uzP+NHfuRH+L3f+z3e8573vKr7c6/xYz/2Y3zkIx/hU5/6FDMzMy/62t05/PXr19m7dy8TExN86Utfuus1OzuxBO4bLU/7VZ2819fXuXz5MgcPHmRubu6et7fbJt/lSe/yqvP5PGNjY5TL5Xuytnu5EQQB58+fZzAY8Mgjj7wuLbGtbZe1zQET4waGHi9skgmFbEbj+s0+wvViS0zfQ5JlbD2JrSSRZBkQKEpcZe9SO0wjijXQJRVFhmxGY3ba4tzNEBUJWZEJhh7hsfy1jBQEoGovJaY2CkmCVFLCccVz0Ox6MCBj1zEDGz0YEMqxrnmETCgr6KFD1yrQM3MooUdZCC5OPoyrWuykpqgl4hvSU8145BwFTLRXSPix4lkkSdQTE7jaEPksqTHX+Y5ZuCRCPM0i6bWZr11Bj1wsr4eQJAaSztde+xOSfg9JCAZqghulw9wYO8Zy4RBjvS1ydpVAUmklylTTMyBJLFYvYXoDbo4dHaLUY9R81qlzbONz9IwskayS9DoYvk3XzKJGPnLoE8nKkDcv0AIXPbCZ7MSCOLue6lm7jqsn0AIfJfAIlNj1KhziByIhIWT5jsmINOT6C8q9baY6y2xmFkbCOEYwYKKzSssq0jNzxOYiTUw/npULJNJuCz1048+QFCQJDjpNsnadvz347bh6kmy3SjtZHtLdJIQECadNqbtFKKv4IhbZQcTUtUDRsZUEGaeBLEAOAkAiMaQIOorJVmaBqcZ1JCIcI4sSeaTtBh0zy0BPDfH/oAQeyd42RQSBopJtr6AFDsWwiquaDBSTcnedMIKxzipyYhxbj8dxgaLRTIzT0zP4isbi/mkerF9iOxFQkfMoRIx31yiaO2yq0/eUuJ8dz/bebrVaI7vO8+fPj2RIy+XyPRmDvFhsb29z+fLl53QGXiz+8i//kh/8wR/kt37rt/jWb/3WL+vzX0kIIfhn/+yf8cd//Mf83d/9HYuLiy/5nt1F0G638/HHH+c//sf/SKVSGfHsP/7xj5PJZDh8+PBrtu/3Em+q5P1iqPAgCBBCjMxLrl69ysbGBg8++OA9X2xwt0a5pmns2bOHPXv2jNpVz0Zjj42NvSpJ1nEcTp8+ja7rPPzww68bKMVxQzw/GiXu3TANCWHbhK5HQhUMhI4kBJpno2haXMWkNfI5nb4doilxm3w3mYciIAwjKtUu9UYf4bhEcnyexPAPATF9CzD0uB0vxEtR0OLXOE7cI00mYhR4txchgL2Vc5R7GywX7ovNSaKAmeYSGbvOZnaB2eYNfEUnlBUsr08tOUU9Ncl4d538IK4IJcTQrGIPlm+TdNuEioavJWKPar9Prl9BiKFJhxzznmUhEEIettEDmqkJ2okxMkP7T1fW+Nrrf4bp2zQS40SSTMprc1/ldLx4yMxRTc/gOQ1CWaWRHBvN+/tGjv3Vc2ScOr0hQjvpNuPFSeiScVtxNSciZBFS6FVI5mJPbI/bCH4hy+h+nFybVnkkOpNymph+H0mEJN02nUSRgZZEDX3kMCAaaqwz+gZ3/y1RtHdQIh9Pz8TcaiUTi8K4LYQkj7y2m1aJrNNE92MKXcwskHC0JJKIUETc4ZnsrjDXuEYlNYUsyxR72/SNbIyW7+9wcuWTlPtbtM0CRuiihR4SERESvmKwkVsk0E2Kve0hLY6RulraruNLKmuFvUy3bpEZ1PBlje3cAl09R8ssgaSghB564NBIT5Oya+ypXuRS+QEmGjb6cFQw27qB7vWpJ6d4avEbuW/rS/E++QPaRpG+lqCRGqdS3Mv3vmeRcM3C+vxp5t1Yfc7TVdoP7OHEN37dPbegXyjupIHu379/xB6pVCpcu3aNZDI5aq9nMpmX1V7f2dnh4sWLLytxf+ITn+AHfuAH+B//43/w/ve//5Ue1pcVH/zgB/nd3/1d/vRP/5R0Oj2aUWezWSzL4saNG/zu7/4u73nPeygWi5w7d45/+S//JW9729s4dizWlH/nO9/J4cOH+d7v/V5+8Rd/ke3tbX76p3+aD37wg69LJ/bF4k2VvF8odttDURQhhODs2bPYts1jjz32svjQdybuZ/O372xX7aKxK5UK169fv2cd8ReKTqfD6dOnKZfLL6u1/2pEsaCTSqq0OwH53O0FQ6cbkPWadLEIzRSS5OMHglDEeuCSnmRxLsuRAynqTZ/tqku7E5BKqpQKGt1eyE7VJZmQ6dseUuTQI4FPPNsVkkQg6TFyV1Pxwzh5y/Jtv5MX44j7AWTTChNjBvWmhyxHiCBgtnUDJfKZa14nkJUYdBUFCEXj8vhD8Wy7fQst8ljL72e5eF8szOHHgi7RUDpVCx2mmzdQRUQtNYkRDGKksplDiULGeuux0AqxdaaQFTxZI+M0Ge+ucSU4ga9rRLJCKxHzdBdrl7D8Hl0jjxE6cUU8TGx7apfI2xUmu+tYQZ8ImVaixPnpx2kkJrgycYJSf5NSP05IsohIDlqslA+THdQx/R4xMlymYxYY665S7C/SSo4hDRO3LEJK3Q1kIbD1FGm3NdJe321FJ70uvSCLFqTwVZNA1W+vtob9aWnoMieGlEA59DH8AcKSMfxBPLMXIUgyfT1Nz8iwUL+CLMn0zFjApG0V2Vs9TySpCElCHY4CQkXD9PvMNa8x3biOUGLBFz10yQ5qQ4OT2G5VFT7V1CQJr4ssIvp6GhlBPT3DdmE/euiwp3Ke/TuniRUE4sq8kltgf+U029lF2okihm8z1l3H0y0SQZ8g8hAIpjq32Nu8xlZ6jouTJ5is3SQQEpuF+7ACm6tjx6mkp8n2qxxd+ywlt4ZjZLg89Qjnph4lkjUKdoV31/+WwoO/hP4Nj5J7/ATOyga1douqKjjxDW//shP388Wd7BHf90ft9VOnTiHL8l3t9edz+dqNSqUyEoq5V5vhJ598ku/6ru/i137t1/iH//AfvlqH9LLjv//3/w7wHIDcb/7mb/IDP/AD6LrOJz7xCX75l3+Zfr/P7Ows73//+/npn/7p0WsVReEjH/kIH/jAB3j88cdJJpN8//d//1288DcqviqS9+7F1+v1OH/+PIZh8Nhjj91z9bqrmHavUqeGYTAzM8PMzMxIR3xX7MQwDMbHxxkbG7unFe7uzbFnzx7m5+dfV1MTgHxW4/iRDJ/9UhPXi7BMmW4v5s4e0qpcF+MouqCLjI+HLnwSvs3efRYVVeaLp9uEkSCVUHn4RI5qzaVU1CmX4g5Is+0jhIqcKzDe71CJ0oRKbF2hRj7lsE4rv4g7gEiApkDox3lCVeFOHOIuLk6WQZFBIFjbdBAirsCFFyITDV25dvWzb6uARYpKNT3DzfJRol0uuRDMbT1FIzVJ0m0hFBUxtLKc6Kwy01zC0SwGRoYI0AKPsc4qWhCjvl0tieX1CIa2o2rk09PS+Hrq9g5DrOcdOEgiFlaJ3dl8dlmi5f4mpf4mPTNPNTGBIkLy/SrHVz/NZ/Z9CxcmH6VnZEm7bbKDGlPtW6QGLcY7q6wUDqJFfgxU0xJk+1UUIhwtRcJpj0RKAkXDl1U8zcIeCspooU8oKwzUBKGigSShhR5pJwb1RZIUU9dkGXcoRBNTpeIxQTRcvETSkDYmIlJuEy1wUMKAtlXCclqcn34LShSiRh6N5Dgts8REewUzsO/aXtz+hoTfj4FqskJfy6BFLkbo0jFy1BIT5AZVkm4shOJqCQZaAlWEBLKG5fdIeS1sPcu1iRNk3Cal3hZq4CJELIl7afIRZlo3mW1ex1cNVoqH6Fgl5ivncBULZIlMd4u2lqFQv4kaefipHMn6BrOtJTzVYqq9TLmzynTjBluFPcz3b5GXbLSOQiHsYPl95lrXMPNpwm4fqVwgdWQ/zYzJ1vXrPHiPaO0vNzRNY2JigomJCaIootVqjfjk58+fH6HXnz0OrFarI031exWK+cxnPsN3fud38su//Mt87/d+7+v+PLszXkqlbXZ29jnqas8X8/Pz/OVf/uWrtVuvWrypkvcLXQi7lepTTz3F9PQ0Bw8efFnAtDsV014uovzZOuL1ep1KpcKpU6dQFGVUkedyubv2SQjBysoKN2/e5OjRo2+obvHbHsuTSiqcudClPwiYmTQ5eSyD7Zi0z7boiBz5qIuSTCDJGnsHTWYPHqS6Bqoqow8TquvG/W7fF6RTCvcdSNHrh7Q7Pn5g8Q/eKvHbv3qKnUaIrgiSKRl7fBrJDkHE533YUUQQA7x3Q1UgYSlomkQqqWAaMrfWHYJAkErEYiFCV2lmp5iuXCFM5fDCeCae9GIOtK/oZAcx0rdnZOPKUYg4SSgqjeTEkJ4mo8sROWVASg447i/RDDPYHuieTb6/TSdRIuG2UYgIFS0WThHQMXJ8ac833T6IUXdZwtPMoaIahHK8sJREhB44KEMqlK2lMAMHIcvUk2OU+jvk7AqVzBy3SkfQQgc9cDk993ZO3voEj976ONlBnWZynEhWyAwaJPweT89+LZKIGO+t00qU4zm5BK6awtESsRSrauFoSRACMxjQ1SxEFKGEHr10loTXi5XXZGmovQ6RkIhkFQkR66+LkHpygq6eJm9X4gpaxKIrtdQkpt8nUC2q6Rly/R2QEjEYTPhsZefZW7sYi9QgkIRAjXwCSUULXdQowJckjGhAKCl4skHGbeH3t6gkp5jurJBxmniBjaMlsPUMzeQYtpElNZynd80ca7n9WG4PQ9boGxkKvR2qmRmWi4dHqnihrJJ026TtGrJVYH79GYp+PcZk9Hs0x/bjuh4tq0jC75JyOxyonMVXDM5NPkypv0NoJLHmCsz4IVPOEpKmIs9NEHR62Fdvktgzy+rqKjdu3LhnmtWrHbIsUygUKBQKHDx4kH6/f9c4MJVKUS6X0TSNpaWll/Vs+uIXv8h3fMd38PM///P84A/+4BuauP8+xJsqeb9QbGxsAPEKaf/+/ff8vmd7cH+57eo7k3UURTSbTXZ2djh//jxCiLucvZaWlqhWqzz00ENvuHuOqso8ciLHyWNZXC/CNGRkWaLrPUjj/P/hQiNNL79AUrGZ768we7DMp1tpxkoqB/fFSSgMBbdWbSxLoVr3MHQZXZcxDBnfFxzan+Tgo5Oc/O4Uf/PJbYJIoiHi810sSCSTPpVagB/srpZv3/iaCmMlnXxOGz0QokgQhQJJAtuJiCKBiCKuFY+R6VYodNZj0JnnEwErxYPoKrjpIoXmGpbXjbm+QqAJn/vXP8fSxAl6Vp60Lph2tkinI0R+L7mNmwxCF0nWsNweioi4NPkQe6vnKfe2kERIhIKvGpya+Roi5c7b6nYGDySVenKCcm8dR00gJIWE16Vr5sjYDcygz97axTihIGPrMSfZl3Usr0fR3h7ypU1qyUk2c3tx1M+QCGzGeht3faKtJWNzEEmh0NsmkpWYry2p+IpO2ypSsHdGM35HTVBNTTHfuMr52SfwVZOWaiKJuN0c7X4fcmyVEsuNyiCp6KFHsbfNwEgTShJdq0jfyGE5XQ5UznJm9mswfJtI0RhoqbgTICJulO9npnUDPXQBCUlEBLLGZmaOol1FjgL0IZbA0RJEioIUhmTtKlfGH6SdHGN/5SyWb1NPZrk2doxmYgxXtVBEgBEMUEVAJMemOn09zUr+IPt3niFUVFpWCV+JsRwpt8l9619iIBRK9Rvk+1WahVmEBLlok55skHYr2FaGZnIcKQpIul2yboODlXNcmTzJvmgDSZLQJ29XqUGnh6JrKNn0aLF+r8Imr0fc6fK120Xc2Nig2Wyiqir1en2U8F+svf7MM8/w7d/+7fzMz/wMP/qjP/r/EvfrEG+65L0LSIM4+V65coXNzU00TXtZGsCvtfCKLMsjH9s7DUEuX76M67qoqsq+ffveEJGFFwpFkUhY8Q0qhGBDF+hP7OGbVquI+jlkXSX9yEE27nsC+0sOY2PqXe/NpDVkGaYmDFY3nHiGLcH8rMU3fE0JSZJ44EiGpZt9+oMQXZcRAjwvQld12t0ukhyhKtKwIyIIAoGqyPRtn0xKRtXUuB3fCjAMGceJ0LQ4cauqgmOW+YL0Lg7YNxh3drAVk1upRTYzi5imguRAz8hh+DZzzevMtZeoDy0g72teQLZ1sikZyTBYnX4E6chRqh/5a8zNW2SiDo6W4GLpIXZyc+ypXUISjLyjAVrJZ1Upd1TfejhgM7tAx8wz3llDFhFr+b1UUrM8evOj5O0YMCckGSFJJLwutdQEZmBTGFRQRBhXiF4X3XfoDt27EoF9l9KdAFJOm56Zp2dk6Jk5jMBGC1wMf8Bc4xoXph+jmp4mPWjEynDJEjPNG4y1V/jUgffFST0KEUNkeLzhIQhBkgllDSXyY+cst4085KlvZveMxgV9K0crKBPIGq5mESja0Fo09iKL9CSuYqEFLo6WwNUStKwSmm+TtysEsko9MU7OrpFxmsOKXuAbeUJZoW0V+eSB95MZNOiZGbZyizGzQFZoRSWygzqhpJJ2W7iaxVL5GF0jh/A7HF/5JO1EiYGWxghdcv1tHMVioruNiMD01mmKaSRJxrK3yGgWPVmnUTrMTnqO/KDGY8sfJZQUlseOoIWxB3fQ6cUVt2kSuS5+vUny8D7a5QzLX2GJ+9mhaRqGYdDpdDh8+DCmaVKr1bh69Squ6468D55Nmz179izf9m3fxr/5N/+GH//xH/9/ift1ijdd8t4N3/c5e/Ysg8GAxx57jFOnTt2TRCq8/lKnu0hQwzCo1Wrkcjmy2exIiKVQKDA+Pk6pVHpDtXJ3Y9cEpdfr8ej3fSempuFXm0iGhl7MUznXRuK5Lm4CgWUq/INvm2R13aHdDcikVBZmLfQhmn3PvMU7317ms081abV9FFlifsZCUyUuXuuTy2jYToSIBJouIxHheQGaKljb7KMoMpIko+sKh/YnuXC5ix9EJC0FWZYZ9EJcM89S6VGaBZ1kQiElBMWmTzGv07m0Rc3M4htJQlVHVmW20zMsRTDbWyWLTaSbNEsLNPRpHk6leGru7YhUAz1w6ekZPMXk0PaXUETI5YkHMUI3NulQDDKD+gue13ZijEdvfJSV4n2cnX4LSBKm1+fgzil81YzBY0AgyUN1swDL7aOHDpE0dEIDPAWUyCc/qOHLJoGkjqr1XRDZTOvGEM2t0jOy9IwsEpDtbVHo73B87dOsFA6xk53D8noc3DnNTPM6t/IHyA7qHNk5RdJt0bLKrBQPUE9N3dbCHWq8x0AzD5AZqBaWb9+hhieG+2rE6PrkBHIYYoYuERKhrKJEAbaWZKy3TsLv4ssG452VIScfIknB1tJgQcpro4UeHT3NhalH0d0+euAAYujg5pFwuzhaElmEtK0iAy1Fzq7iSxrLxSOsFg5SbK3gqhbtRJnsoEHS6aCKAFtLUUlOcqS9Sl1NszHxOPXkVHw/TCkErkMubLGhGCS9NrX0FEvl48y0b2B6fTayiyTuT6B2OthLtwja3Tjx753H/N5vYXl97Ss6cUOsiXHmzBkOHTrE1FR87MVikQMHDoza67tc71/5lV/h0KFDHD9+nH/9r/81P/ETP8FP/uRP/r/E/TrGmzJ527bNM888g2VZI2DavZqTvFEe3K1WizNnzjA5OcmBAweQJGl0U1QqFdbW1rh06dJrziV/qfA8jzNnziBJEg8//PBoMWFM3a4o52YsUkmVetOnVIh/7wcRvV7IQw9kMXSF/XueH+UvSRIn7s9wcF+S7YqLokhMTRg8+bkGsiyRSqlkM3F+kGVotgOSCY1/+j0zfPqLDW6udNDUgPmpDrLUZSOj4ngGrgdCRCiyNJJm3aW/SZKEIoNth9iRihU6eGaCjlKmlSjH83UhsVQ+hmSaRFE8BqAZ8MnPNnAHIaGeBS2Wh5UQZAeNODnKKo58+zYa623G+uXItxOZiA1W6tYY6/n93Lf9NLKINdyVKGA7O0/WaeApBpGsokQ+ApWekSDptUk7LbazC0NrzLiF3TNyLNSvEMoqrmrGPHRiulyETCM1Ppqr7+6HEIKeWaBlFSja1ZGhCMPWdCCprOX28+D6p5FFhKeazDWuMtFd5TOL30TXKo4a6JIQaKGPQMI2UvTNLGO1dUy/h6Ol2AUDapFLXzZJOk181cSTteExBiihz/XCIWY6y6ihhxbtCt5LREDbyIMUc6ZbiTJdI8f18v20rBJfd/kP2REBrp6kbRWREMw0lnD1BK5iUktPYQR90m6TZnKMvpEh7bUp9baY7K1xZeIklyYfRhPxjL3Y3eSty3/FrfQ8KadDpKUx5XgxpYcBOafGQE/jqSZm6OB7Pca6a+i+zdbYg5yffSs/9OAms+//BpqffprBzTWMmQl6CxNs+DYnT558w8djLxatVovTp09z8ODBUeLeDUmSSKVSpFIpFhcXcV2Xq1ev8kd/9Ef82q/9Gul0mvX1dT760Y/yjne84w15bv19jDdd8m40Gpw6dYqpqam7gGkvlby/XGDalxNbW1tcvnyZ/fv3Mzs7e9fvkskki4uLLC4uvuZc8peKfr/P6dOnyWQyHDly5AVnXKWCzlsezvGpLzRZXh0gS/H53beY4OSxe6ssEpbCnvnbx3T8aIZ8VqXR9CnkVBRFYuBEOE7EifszPHgsx4PHcqPv8fz581y61qVY0LEHLu2ODJKCriv0bTD1WAxGVSU8L4oR5IOAhKmQra7RNyfoKyYuKiKM8IRCpGqAiAtLOU5Q8sAm3evQNfNEQyMQgYStp1GjZ3V6hCDtdUgM2thWfvR/u8kz4bZYLh2mZ2QZ666jhR619BQ76RlmmtcJFY2unkMWYZz7kEBPM9FZpWvmGOjxw18AKbdFrrdDyd7CDAZxu514Pi0juDLxcGwcErpEijqqyAPV4Km5r+OJmx/FGtLfkGQcWeVG+SgZv0MoqzTNAkgSXSNH0d5horNG1yoiw1B/PiSUFQJZp2fksdwefTXFVOsWO+lpQiW2QQ0lmZK9jdHzKPe2CGWFRnKczcwCjeQ4PcViOzXLRHdtVHEHkoynmHStXKwtT4Tl9bCNNEm3hasmSHttEo2rXB+7n1J3k7gCV1loXmW2dplb5SNcmXyYZmIcEFi+zb7KaQy7SdfMc3DnNA+vfBJHS2AEAwZ6inpyjL6ZZ3nyJIbTY75xEQloq2l0NcHa+FFqqYkYNR+6XC0f5/r4MXpWAT3yKL/lAYzJMSa+M1YSW15eZnNl5U2TuA8cOMD09PRLvt4wDN75znfyX//rf+UnfuIn+MZv/Eb+4i/+gg984APUajV+6Zd+iR/90R99Hfb873e8qZK3EIKlpSUOHDjwnCT4YvrmrzYw7V5DCMHy8jIrKyv3xJN8LbnkLxW7nYHp6Wn27dv3ktt/9MEcU+MmS7dsXDdkctzk0L4klvnCoJYXi1JB59vfM8EffmSbejOuwCQJ9s5bvP89t2UIgyDgzJkzCCH45nc/xJXlNTZ3+qiqQEQhrZYPksDQFBrNCMNUUGQJy1JoNH0m946jBg205gY5w8CRdLblAhlDoaencP3Yhzzl91AGfRCCidYNHC1JJTVN18ojkNjM7WGuuUR2UKNj5pEEZAc1ulqWtNcmkiV81SKSFGQRoQU20+1b9Mw8LatELT0du2BFPmoU0LDKZAZNjHCAqxjICEzfZiO7yEBL8eDq37GW34+nJTB8m5nmdSThYwQOIfEMGimeU2vCp69nhosGGTXcvS9i97PLU4+hCcG+2nkSXhdf0djI7uVW8T6Ob3yGulmOpUVRhgk8O0R/e6hhQCQrhIqGJCLUyCfltTC8LjfGjrHQvMZ8c4mBmmAjt496aoxjG18g5bWQhvdf1mlg+DbtZImivcPTi1/P/eufIz+oIUURoazSMXOsZxYo9bc5N/NWBnoKNfSwvB4z7ZtEskLR3ia7WqORnCCUFLKDOgm/R9soMN9YIuM0aSXKRJJCtl+lbG+zmZxmOX+AA7ULXB+bHfYdJNJOja3MAmHg0jeyeJpFZ1Am26tQCBtcnzzOnsoFLs59LbHCUMR6fj+7QLsELsmjt8GyN2/eZHV1lZMnT5JOp1/RPfF6RLvd5vTp0+zbt+8lpUN3Y3l5mW/+5m/mO7/zO/mlX/olZFnm3e9+N7/6q7/K+fPnX5XK++d+7uf48Ic/zJUrV7Asi7e85S38wi/8AgcPHgTiIu7f/bt/x8c+9jFWV1cpl8u8733v4z/8h/9w12ji+Z5jv/d7v/eG8s9frXhTJW9Jknj00Uefl7/3QpX3y+Fvv5oRRRGXLl2i2Wzy0EMPvewb+NXkkr9U7CooPV9n4IVCkiTmZizmZr482cU74x1fU2RuxuKpMy3a3ZA98xYPH89RGIrHOI7DqVOnsCyLY8eOsbLuomoSB/Ym6XRDokiwb1Gh3fVIJ0KqDYdeT6BbKglDJ8qqzC1kUGdOsHNumcFGBV8ysTJJJhcLbNZDmm2fnDSgULlOwyjhKQYdM092UGeys4Kv6DhakqZVYqn8APOtaxT7sdZx18ixVD6GEbosNK7hqebQNtQj4fUw/D5G4FJLT5Lqt5EQeIqBEbrcKhwk59QxfRtjiL4OFBVP0blevh8jHLDYuMoub72eHKfQ30EgE8lKLBE6xJOFkjIUbYGk244TlCThKSa+rBOoBqfm387N8pGhlrsZU7nsWszXJkQQq8YhBErok/A6GIGDFrgokT8SafFUg3yvSqAnGLO36Zj5WHgmdNBDh7xdJT+ojtrlkhCoocds6wab+b0oocvF3AG6WoZSf5uE30MNPHZyC2i+TSszHduWRh6eYqIQMdFaZjMzF+vTRwGF7uYQUhc/FxrJMca6m6SdNpZnA6BHHpGk4GoJFupXOTXzNqbbN8l6LTp6nhvTT7B35zwryXkSfpdaapors4+TcprIocd9m0+BLGEENhHSCMinDLsv+5Ut1OGI6caNG6ytrX3FJ+5Op8OpU6fYu3fvPd/3q6urvOc97+FbvuVb+C//5b/cVQhJkjRSJvty48knn+SDH/wgDz/8MEEQ8KEPfYh3vvOdXLp0iWQyyebmJpubm/zn//yfOXz4MCsrK/zIj/wIm5ub/NEf/dFd2/rN3/xN3v3ud49+fiMoeq9FSOKlmOxfYREEwfMm6QsXLmAYxl1UsTfKytPzPM6ePUsURRw/fvxVldG7k0terVZflEv+UnEn1/zlCDG8EdHr9Th16hSlUmmkQveFZ1p87O9qLMzFC4hdZbxq3SNhyfzI982xut7m1kqVfr/J02cdGm2LyXGTfC5Fty/o2wH7F1MsLfepNTxW1h3Ge2to/Q6OkUb3B7SkFOlBg6xdpZkYo2vmyQwabOXmQVbI9ysgQSMxjurbzDevIwmBETqjsbcvayiBz2L9Iuv5fVTTs0SSTMJts696nqfm3kG5t8li/RKJoQ562yyyXDxIoFhsZ+ZiYJfXxdYzVDIzvOvi77CvegFbTaAMrTkiKVY5Oz/1GJ858G2ooYca+URDhHgUhXh6mlBWMcJBXA1LsaFHJCk8ceMjFHrbNIa8cSUKKPa32cjuYbl0mEiSY6MSaSjFGgWcvPVJMm6T7cwcSBJG4KBGHjk7Vn5Lum36ejZ2dxURkhAk/C43S0f44uzX4eqpoQnMrsWINLJlTbltLK8/sjdvJYpk7Rqpfp359g0mOyvxwoW4gu5pGU7Nfg2HKmex/N7QwU4QygqOmqSaGidn15GikKXy/fSsPCmnxXhnjSvlB3BRyAR9Oqkyqog4svEZkr0mgWpSM4tUJw5xs3gkHkNIEQKFrNPkXb1PsOf/949RVZVut/uKFuyvZ3S7XZ5++umRONS9xObmJu9617t4xzvewW/8xm+8rkqQ1WqVsbExnnzySd72trc972v+8A//kO/5nu+h3++PVDclSeKP//iPed/73ve67evrFW+qyvvF4tmV9xsFTNudG6fTaY4ePfqi3MhXEvfKJS8Wiy96c0VRxNWrV6lUKl8RXPMXi10U7NzcHHv27Bl9l7oWS55EQiDfIWfr+xHJgo4kSczP5pifzQFw8kSPP/vrNa7d6HF5qUcQypTyOtIeg4W5BFEEO1WPXksjhcL4YIsx0eKGNEFTzxIoGoGkgiSxnZvD01PIMuyotx9+uj9grLvOen4fkSxjhg6eHFfrk/ZNmslxDu6cYW/lAr6iYwV9WlaZQNG4OPUY68UDQ4qTQi05gSwiHr/5lwSqRjU9PUJpl3qbrOb2sVi/ghG5OIoFsowS+sgIsnaNhdol1vP7CBQdKQpJeF0mmze4OXYMW0/HHOcoGumey6HH+cnHOLH2KQr2zmi+X0lNU02MMd26QdMqx3rnxO3tWFe9QaBo5O0q6aGvd1/P4qoGKadBJCkkvQ6KCBGShC/HsrhCQHWY8JNuh1BSYp14ScJ0+7TNAoX+Do6WxFMNtMjH8noM9DTj7RW+uPAOxrqb7K1dQI0CNrPzLBUfYKqzTD01TrEvRt7woaxSS00SRDK+rIKio0YBSTem/52e/Rpy/SqKkOgmSnStIovVC2ihYL18CGvQQlZl3nX1Dzg381ZuFA7jKgYTvTUeWPsMs1MGhmFQr9eRJIkzZ86MaFX5fP51TXQvFd1ul2eeeYbFxcV7Ttzb29u8973v5YknnuDXf/3XX/fjabfbAC9q3tJut8lkMs9xU/vgBz/ID/3QD7Fnzx5+5Ed+hH/0j/7RVwUq/qsqefu+P5I63U3kr2fibjQanD17lpmZmXuaG3+58UJc8itXruD7PqVSifHx8efYA4ZhyLlz50buZV+u49BrGTs7O1y4cIGDBw8+Zya3OJ8gn9XY3nGZGDOQJOj1Q3xfcORQ6jnbGh9L8X3feYDf+sMNkHtYRkgUunz6CxvksxInj6U5eijP9b/epPj0M0j5HMmkRj7Y5tb2Bgm7wY2JB2nk9yAEmApYpky7Gw112AWhopN2W8w1r7GTnqOvZ9Aij5nOTeYblzkz/VaaiTLjnXW0yGO1eIB6chI99ECCdqJEO3EnNkKinp7moZW/ZTs9S9/IknTbTHTX+OSB9zPRXedg5TTJYZtcSBItq0QjNcGDK3/HVPsWrUQJKYpIu00K3W0czWIrt4+BFmu5xzP5ATm7Tk9P8dm938x4dxUjHGBrGXbS08zVr3Jy5W+5Nv4g9dQkoaSQtmvsq55D9wZkouaI6iYh4mQsK7iqRdptxxU7sUxrIugSKipL5dhbW498ZBHGPHah4CoWnWQJw+uzXDyMOgSyxQh3h6TXJel2mG7dopKZ5W+Lh5BFRMZtMtW7xb6dM2wV97GR3UPWaQASLatAymmTGTRwzCxpp4kV2lSyc5h+n5TbQqgaoRfQSk9guh1SgyZ9zUKIiFZmkqnWMiohD25+mgfXnoybBLIMkiDwx+l0Ojz22GNYpkmjVqfW/P+3d97hUZVpH77P9EnvjYQQQgmdhKIUkY7UBFFXbFjXBbFgY3VtK2tv6xbbqsiq6LcQQBQQQZoCImmEGggkhJDep5dzzvfHMCORFiCkwNzXxXWRM5Mz75nMnN/7Pu/zPL8a9u7di9Pp9PQSDwsLazHTodNhNBrJzMykY8eOdOrUqUm/U1lZydSpU0lJSeGTTz5p9gXJuZAkiUceeYRhw4bRu3fv0z6nqqqKBQsWNPLnBnjxxRcZPXo0Pj4+/PDDD8yZMwej0chDDz3UEkO/pFw2YfPDhw9jNBrp1auXZ0/89+YilxK3bWhSUlKTMjYvJbIsYzAYqKiooKKiAovFQmhoqGePfO/evSiVSvr169eqN5JzUVRURH5+/llD+vsPGVm/pZraOldfVa1WQZ8e/oy7Ngy16tTVwb6DRtJXlREV8ZsFqugUOXikgV5dRWIjapHrjChWbEVRXU9gfDTV1XbK8sqo9o1ke8IEbBpfggPVrn7qsoxSCQcPGxFFBUolpBzbQnxJDhKCp+44wFqLReePqNSRH9iNGr9InAoNaqeN+OoDFAV3oTikK7KgbGS7CaB2Wuld8gvR9YVonDbsSi2lgZ3Ijh0GgpKepTvoVp6NWrRT7t+RXzuOYWjhGnqW7nSZcSjUiIISxYmWpgcj+rE7dih2hcaV2Y6ArFDRsSaPMv8OlAZ1OfHyv313hh9ayeCCdYCMSRuEqFDiY69HLTowq31RySKC5OnDhiy47EbLfWOINh5zvQaCJ9xuV+lY0fdenCod/tZaVKIdWVDQoA/BrPbHoA9G4bSjEFw2rzqnBVkWMOkC0dhNdCvNRCXIHAvphkOpQS3aiag/St/ibWhFCz52E2WBHanTh6OUnUQ1HCPYVE6NPgyb2ge900JhaBJHwnrhYzfg4zCitTVQro8g1NaAU6FAIQNIBJsr6FBzmLKoHvQv2eZ6a5QneuNLErIoQs8EBq74COuvudRvy0K0WPHpmkDImCGIkSFUVlZSWVmJ0WgkKCjIsypvySZNJpOJjIwMYmNjSUxMbNLvVFdXM3nyZLp27crXX3/dKveL2bNns2bNGn7++efTJtU1NDQwbtw4QkJCWLly5VnH+Nxzz7Fw4UKOHTt2KYfcIrS7lffZbEEdDkeLh8llWSY/P5/i4mKSk5PP25P3UiAIAgEBAQQEBNClSxeMRiOVlZUUFhZiMpnQaDQkJCQgimKbFG/3e+q2dD1bgkmPrn50iNZRWGTG7pCJCtcSE6VFoTj937+y2o4kyY0sUJUqJUGBPohoGDGiD3V1dZQGBVG5ahNVBcdBocPQvTeOPkO4Ji4SZLBYJBoMTmx2J3V19eh1Svz9NKhUAqaIodSIRkIqC4g2FSPIEja1D87wGBzBYfQ+tAu53I5NpUPpdFDnE45DrUchy4gKOLk1LIBDpSM77loORfRD7zBhVfti0AZ5xHVfh6vZF3PVb01UkJEFAbVkR5aFE5aZruQzq1KPSnLQpTyXo2FJLgcwyUFYfQERDUXkh/XGZR3WeOLjZ6tHgYRdUONrr0eQZZwKFQKgcbrK0dSSw9VKVVAgSDIyMuHGEir8OuBjN6FxWkBQYNb4YVb7oJacaOwNOBUqHEotIONrdYVHrSo9IKMWXYlmJk0A8omVu9ZpYVfHEUQaS4iqLzxRax6ATeNPZUAsIaYytKLLQMfPdthTdicrFOicFsyaABSSA7Voo0NdPsigsZsoCkwgqqYAU1AkSaU5hBlLEBUqCkK7syd2KJEaK4JG4yqvU7vKCiWHE2SZ0D49qF++jtpNv6L090Wh1VD3cwbmg0eIe+A2EhMTSUxM9JSDuo1BLsaq83xwC3eHDh3o3Llzk36nrq6O1NRUOnXqxFdffdUq94q5c+fy3XffsWXLltMKt8Fg4LrrrsPf35/ly5efc4xXXXUVCxYswGaztbql58XS7sT7dMiyjJ+fHwcPHmTHjh1EREQQGRl5SUqqTsbdicxgMDB48ODzsh9tSfz8/LDb7RQWFhIbG4uPjw/l5eUcPHiwxWvJz8XJWfqDBg1q0nsa4Keib8+m7dm7W7K6k9vcOBwSvj6q34wbRg5HGjGU+rIKKqsqKd1v4tA+O86DFei0OkJC9AwZoGPLtiIqa040iTG4IkI1aDF3H0GNOphgRy3BMcFYQ6MwW2UqrWpixydSv3MPYbWFKJUyNp0vCpUCvb8ao/kMAxcEV7tT3ensIwWXkJ/0Udc5XGYeKlyd18DVlFRUqikN6ERs/WGCj/2EQRuEzmlG7zCTH9Ybgy7YFQp224CeSCJr0AYhIKORbCf2yHFNCgRXwptClnAo1J7e5zICWtGKShZxKLUcDY11+YUDVpUOH7sBpeREFNzNbFwzD4dKg0Jy9S+3q3T42evROa0IsoxSduJEQWlQArJCSUlgPA6FmlBTGUrJSXlAHIci+pCW9QECEmqn1eVXLssuVzWFGqvKBz9HA4fC+mBW+qB32mhQ+3Mksjtdq3IxK3XEVx+iIKInWfGjUCASW5uPn92ADxZ8uydgKylHNFqQJBFUSnQdY9AGBlD/6y50HaNRBbi2bDSRoZj25VOz4Rd8El17yyeXg57OqtMt5OfqJX4+uJtaxcTEkJiY2KR7YkNDA2lpaURGRrJkyZIW7/woyzIPPvggy5cvZ9OmTSQkJJx2jBMmTECr1bJy5comlajl5OR4ul22d9q9eLuT0gICAhgxYoQnE3vnzp1oNJpmLak6GZvNRk5ODgqFgsGDB7eJtqZnorS0lH379jUK6cfHx5+xljwyMhJfX98WT+pwOp3k5uZit9sZPHjwJfmCJcbrCfBXUV5pJyJMgyBAvcGJIECPro0nCgqFguCYKIJjoujWF0aXNbB7Xxl1dfWoleUIThkfn6ATftkSgsLV/tspyoSZj6PFxvFOA6n2USGIgBo62o/hq4tk/9ApHDKL2G0SKrUCvV5BqABmi80lfhe5maURbYgKNQ2aEPQOEwpZQkSBxmmh2i+SiqB4Eir3eErF8iP6URDeCxQqflvCeyzRMGkDEBFQngh7/xYfB5tKh95pRhZcyWCupDmXcYldqUXrNKNzmDGfaDITaKnGrlSjdZqp14e5JgGyyy/cKahRSQ6UkhW904LWaTnR012JQhJxaH1d2eyiHYvGn8rAOCoDO3quW5BEKv06EGEqPRF5ONFlT5awqP0oDuqMWrShdRipCoihVu2Hv7mW/qXbqdZHEmIs4lB0X7QOC4mVuTgVKgrCkoipO4qk0aONVBN4VT+qDuRjM5uJ6NkdqbIGlV6H3Wr3CDe4ImDq0CBMB44giyLC78T4TFad7l7ioaGhHjG/0PuLxWIhMzOTqKioJufhGI1Grr/+egICAli2bFmrCN0DDzzA4sWL+eabb/D396esrAyAwMBA9Ho9DQ0NjB8/HrPZzBdffEFDQwMNDQ0AhIeHo1Qq+fbbbykvL+fqq69Gp9Oxbt06Xn75ZR5//PEWv55LQbvb85Yk6bSJab/f3/59SZVKpWpUUnUxwmQ0GsnOziYoKIhevXq1qUzSk5FlmcLCQgoLC+nTp89Zm8ScXEteVVWFTqfzvF+XMpznxmazkZ2djVqtpl+/fqdkjDYnufsMbNxaTV2DAwHQ65Wk9A1k5NAQlGcIt59MWVkZe/bsITAoihVrLRiMNipq1FhtCnQ6JXqdktBDWYRZyrF37YUTFSFaO0l+BkKqjrBWkULAgN7o9QosFgmVSsBHr2DX3gYKiyzY7O6cDZeIS5Lr/xqNgK+PEpNFRHTKKBTgcHIiWa4x4/YuJrFyD3aVFptKh3DC9lMhOVjW709U+8cA0gk/bxWiQunaqHYLzO9uC32O/cQ1+d+hdlpRCK4QvCwoXA1VNEEEWWvQYgdRPMnrW0GtNoQjUX0JM5SilEUkhRKz2o/C4G6uDnOBsVhUvqhFG+KJMHywqZw6fQhdKvdQFNod+4lQv0OpRuewEG4opjSwI6UB8cgKFZLgGrMgy/hba4irzqNbRS4hloqT+rArKA7sTFFQInq7ER+nGZXsQOF0IipVWFU+6BwmGpS+9K3O4VhIN6p9o1CJDmJrDxFgq8EwehrjY6qp3JOHzVdHZFQkYmUN2shwgq4ZSPnS7/HtntBIpC2Fx9FGhdH5hYea/B2SZdnTS7yiogKDwUBgYKBHyJsa4bNYLGRkZBAREeFpyXwuTCYTM2bMQBAEVq9e3WrRxDONdeHChdx5551s2rSJUaNGnfY5BQUFdOrUie+//56nnnqK/Px8VwfILl2YPXs29913X5u9Z58P7XLl/fuOaadLTPt9SVVNTQ3l5eXs2rULQRA8K8zzrY2uqqpi9+7dp5QttTUkSeLAgQNUVVU1qeb0Qn3JmwN3eV1gYGCLTIb69vSnY6yOomILogjRkVoiwzVN+lseO3aMQ4cOuSYYmiCCdx4jOlqgs8PK0WIT1bV2rFaBEr9YLFp/gkQlToWCarsWp2xE0VBPiKKEwFW70IlWpLh4HL364/CJIihATUyUxJEiayNBFnBtsep1SmKidDhF2dWn3eJEkqCmznnKSr0ouAsRhmK0gmvvF0HAodFh1EVh9glyhQgEcCo1uL20FZITUaH4bdZw0vuhkkQMukA0Tp3LwlMGp1KFU6ml1seVFKY1lwECIq7Vu4CMn72B4sAuHAvuSrC5EoUsuRq5qHxAloioL8KoC8as8UfvMBFiKqdGH44CiK/ajyDLlAQnYlX74Getp2P1QZLKd/JDj5lISu1vjmfIyAJYNH4oBNjb4Wriag4SYq5AUigoCehElV8HVE4rocZSbFo/KvxiT5irOOlQcwiLUkdxeFd8BJFeZTvp6fgVWYBK/xi2dL+eWdfEYUtIxG41EW52INgc+PfvRcS00ajDQ6nbmoXlyDH0neMQlEocdQYkk5mgYSnndZ84XS9x9z754cOH0el0HiEPDAw87ffFarWSmZlJeHh4k4XbYrFw8803I0kSa9asadVtwHOtKUeOHHnO51x33XWNmrNcbrQ78bbZbB7hFgShSTd6hUJBWFgYYWFhntroioqKRrXRkZGRhISEnPV8bhewnj17Eh0d3ZyX1ay4w882m43Bgwefd7vC0018fv9+NaWWvCm42zPGxMTQtWvXFpsMBQWoCerZ9AQcWZY9LS/dSXSS5EqQKzxmIa6DPyEhATidIjuyamgQAwizlqKsKMPH1weTKpCdtTC6wUJ4VQZ1dhUWrRp98Q5U+flUD5+CT2gMMdECThGqqu3YHS4Fl2TQapTodK73WqUUTvxfhVoNRpPzlBV4cWg3OjQcJcJWjl2rRCGASpAoD+vmyjJHRimd1BcBAUmhQucw4lBqCTRXoZRE7Cot9fpQjLpATNog7EorkqD0bFMrZSe1vlEIyIRYKnHvkUuCAqdC5UoGc1qo84vEqA1EJTpAALtSh8Zp5VBYH3pUZBNTewSL2ocj4X2o8I8lzFiMpFQTbK7A31aLJKhQSQ587Absah8UkoR88mdFBnDVkDsFFb72eg5EDXB5jiOgc1qIbDhKhW80Vo0fWruF+Or9qJ02zBp/nAo1slJNnKGQIx0HkR83kABjBQ6llga/CLqIx9H5GalVBTB4weOoLDaQZNShQQgnvgPRt6VS+sU3mPIKEACFTkvQqKsJvvaqC/iE/sbJ3RbdE+vKykp27doF4ClDc5eEWq1WMjIyCAkJoXv37k36TtlsNm699VaMRiM//PBDm24w48VFuwubz5gxg4KCAqZNm8b06dMvqp765NroiooKnE5nI2FyJ4zIsszBgwcpLS2lf//+bbq9ntVqJScnB7VaTd++fZs1Q/T379fZasmbQmVlJbt376ZLly507Njx3L/QSsiy7Glok5KSgp/fb/uaR46aWbm2nPoGJz4+SowmkcJjZjp20NM5WknD/sOYj5Vic9ixOFX0O7YdoyqAesEX0ekKP4cZS7D36Ev4nTex/6CRjnF6nA4Jg0nE6ZTILzBjNIoE+KuwOyTUGgVGo4hOq6BHN19y9jRgtYmYzJKr7BjXxFZnrKVz1V7Ca4uQFAqOBydSFtwZg6B31XdLTk9PM1foWSDccByVfCKRDJcUKyQngmgnxlBMdP1RfBwGBFnGrtRQ5RdDcWAC/Uq2E1lXiFOldYW4FSrsal+0dhMbkm5A7bRj1gViO2F9qncYUTothBnLibKUoXJYEQUVtT7h7I9MxsfaQMeGw4QbjmPSBOJUqtA6rOhEC+V+HcjtMJQavxiQnShk1/pbEgRklAw9vApBltCJFmwqPQpJQitaqNWHY1TpiasvxKbSIirUriCDJOPrMNGgDyau/jDOAUMoDEjEbBNQSE6i9TZ6Vm4naEpfBt16w1n7IjjrDRj35SNZbejiol2r8EsUSZJlmfr6es+q3GKxEBgYiNFoJCQkhD59+jTp3mi327n99tspKSlh3bp1baJixsu5aXfiXV1dzfLly0lPT2fDhg10796dadOmkZaWRo8ePS5KyBsaGqioqKC8vBy73e5ZrZeVlWG1Wunfv3+byMg+E+69+JCQEHr06HFJw89nqyVvii+5uy6+V69eREVFnfW5rYkkSZ6KgpSUlNPeuI+XWcndZ6C03IaPj4K8fBNBASqCg1zvgex04nRIlG/cQUzGuhOdvkAUXbvDvrZ6fP3UdH31cX7KMBEfp2v0OS4pt1J83Iqfn4qyChtms4hep2Dk0FBSrwvn5X8WkJdvRKdx2aIKgoDVBoKgwEevwGlzYLa6VsMqyY7aasKm0p8Ij7tfRUbltBJlOI5DpUXltCMrhBPhcTUK5wlXMKXK03LUqVChFu0cDuvNuP1fE1+bj12pcZU/C0rMal/0diPretyM3m4kuuEogixT4xtBcVAXwg3F9CrPxBIdT4NNicpuJthUgVEXyL4Og6nSR9Ov+GciDMWoJCc2lY4joT2pCIilQR2EySfY1anNfQmCAKKTO395ldLAeIqDu6GUXbalyNC/eAuHIvpzICqF+JqDJFTuRSU7cah0VOsjKAjpzoSGn0jqEYw5sSf1Dg1qhYS6eB+SsZ7kN54iMKHtTjJra2vJzc0FXDks/v7+nvD6mSpvHA4Hd911F4cPH+bHH388p3mSl7ZDuxNvN+5V4MqVK1m2bBk//PAD8fHxpKamMn36dHr37n3B4iXLMkajkePHj3P8+HEkSSIsLIyoqKhW75B0Jqqrq8nNzSU+Pp6EhIQW34t315KXl5djNBrP6Et+stNav3792vQs3+l0smvXLhwOBykpKU3O+P3uhwoycuuJj9WjVArIskxpuQ1h/17Ct6ykISgGm5MTEWYZH0MVNq0ftltvRaH2QadTExrsei1Rkjl6zEL/Xv6UV9rJO3zCcESvxN9PzZBBQfjqFbzyjyOYzA6USsWJPgcyfr5qHE4RAQGrTcLhcHWCCzaWYlT5e1qJywIgKwgzHEM+4SfuNvpw+4eLggq7oCTCWOrxAbeqfSgI64XOYWTkwWVENRw7Uf7l7n0u06ALpjA0CX9bvae1q6hQcSisN4nV+9GLJjqO7Efd7sOUmVQIkoSfvZ6MjqM4HtiJuMoDhJgrkRRKyv1iqPbvgM5hwiGoqfcNd41TOJEiJ8soRCezfn0dnWyjTh2EReuPIIno7QaCrDVkxo0kJ+4aFLJEZP1RIozHadAGU6cPQSWLPHq9L4p9e3AaTKiDA6gpLcNuspA4cxpxt6U158erWbHb7WRkZHjaMrsTUCsrK6murkatVntC6wEBAWi1WpxOJ/fddx+7d+9m06ZNREREtPZleDkP2q14/56Ghga+++47li1bxvfff09kZCSpqamkpaWRkpJy3kLe0NBATk4OoaGhxMXFUVVVRXl5OSaTybPCvJgSjuakpKSE/fv306NHD2JiYlp7OFgsFs+K3N1v2L0iLyoqoqqqiuTk5Da9r2a328nOzkalUp139nt1rZ1vvi/nWIkVQRCQJJlAfxWBShvGDz9GZzVQ5xuBUqVE5bDiW19BXvzVOAYnExlioapWi1Kpxc9Xi4SKmHA1XeL1/JzZQGSE1mO7WlvnwGaXmDrOn1U/HCA3T4+fj46AADUms5Oqajsms4hK9VtCp90mohCdBJgqMAl6V4a3LKG1m9GKFhSyjEZwJcIhSShl1yzDrPFDVKpRizaqfCIRcO1bg8DwQyvoVZaJSrSjc5pRSCIgIyo0FIZ0A4WSSr8Yl9e4LOJnrUPrtIIAjpAorh0ajPmXTAw2gTqbCqXZSHVsEg21FkINrhpuh1JDaUA8+6MHoBbtKEQnpSGJJ8L9Lg92BAGV6OAPRxcTWn6YBnTYFdoTYXoTolLJuqSbqPWNxqFwWZr6W2tQSU5khRIlEh+kp2ErKqH6x+2UZOVi1yjpPmMyEaOHoGiDk3ZwfVYzMzPx9fU97aJFFEVqamqorKzkp59+4tlnn2XIkCGeCfdPP/3UpnN4vJyey0a8T8ZkMrFmzRrS09NZtWoVwcHBntD64MGDz9n8oKKigj179ngcd05exZrNZk9o3WAweFaYERERLV4PeXISVd++fQkNDW3R128K7kzZ8vJyampqUCgUxMbG0qFDh1apJW8KFouF7OxsfH196dOnzwVFcExmJ3n5JqpqHPjoFXTt7EtJmZUvX9tM7J5N+NnrERQCIkpKgjpT0n8MHToFMnlsKJJoImdPFdXHqwmtOEpi/RF2yd2pC+pIQr8YlH6uLGBZljmY30DHqCpGDotjV56Og0dMiCJUVtsoLbdhs4n4+qhQq12TCKtNxuEQkWQBtbkeld2GKCgx6YPxsTUQbitHpVIgO5yIoowESAo1skKJLSCE6KpDGLVBGBQur3IkmYl7vyDEVEatbwQgoBZtLsG0GzDoQqgIiMWsD0KpAFECZJlwYzGSUkN8R186dfSlIXsvmvAQRKPZVQ5qE6k+WoUoKAGFq90qAgfD+1GvD8GoDcDiG0K1bzROlMgyKCUHEabj9EyQCNv8A34NlZ5mM06FmrzoFPbED8cmqVCKTpxKNQHWWjSiDUGSEfU6PvvuBmRZZs+ePdTX1jLwAhI+WxKHw0FmZiZ6vb5Jn1VRFPn555959NFHOXz4MLIsc+211zJt2jSmTp162mYoXtom7S7bvCn4+vpyww03cMMNN2CxWPjhhx9IT0/nxhtvRK/XM23aNFJTUxk6dGijFZUkSZ5Wp7169SIyMvKUc/v4+NCpUyc6derkWWGWlZWRl5dHYGCgpynMpf7CS5LE/v37qampYdCgQY2SqNoSWq2WiIgISkpKCAgIoEOHDlRXV7Njx44WryVvCidbj15MDoWvj4qUvoGNjul1SsKv7kW2Khj/yiK0ODD7hlAfGEOnGD80GgXhYXriY0NITgzi6Ds/UV98ELuPBqPFiqGuiNK6YgKv7odfcBAWi4X6+joi+0fTvXsCnRMlCo5aqKiyYbNLLPm2jGPHrcgymC0Skiij1ytwOAFJxqYLwOqeb0pg1gWCuQS7BIIESsmJpNSgkhxY/IOwaPwxKfT4WurQKk2IChV1mmBEQYGsUJzoXS5gV+kQZFeoGnCFsxUQEiiiUmlxOMEfDQ2dehGqLcFaUo5kc+CsbUAWRTQxkZgz9qBxOGjQh3jC7TqHiS5Ve6j2CedAzEA6UEdQeSU1vhEokAkxlWHW+bPV0Y/Qnn50O7qdwIYKzGpfCkJ7UhjVBx+lE6XFiVnth1qyIwEGbQAiCjpaXFtke/fuxWAwMOiqq9p0J67zFW5wlaF98803WK1WDh48CMC3337LypUreeyxx9iwYQPXXHPNpR66l2bgslx5nwm73c769etJT0/nm2++QalUMmXKFKZPn87gwYOZPXs2dXV1fPHFFwQGBp77hCdhs9k8oeLa2tpL2nbU4XCQm5uLw+Ggf//+bXplYLFYyMrKws/Pr5FFanP6kjcX7rI1t3HDpZhM5O4zsOTbEg4dMSPJoNMq8PdTERSgon/vAK6fHIVSIVC9fislC5fhk5SAQqUiuzaArZXBBDUUI3SKxBkRjM0GsuDLnTcnktT11M/r50uLWfptGU6nu6zS1YPFZpMRBFCpXMdEUcbuACSJ4IbjdGg4iuNENrbGacGpVFMZ2hmLfyiS0UxYw3F0DiPVvtHY1HquOryaLpV7AVw2o8ioRAeyIHA0uBsB9noMAeGEaEW0os2VMKf3R7j3j0zqJVGzZiNVa7YgKwTkTomIDie2n7ZhkVRYNX44FWoEZPR2AzqnhcLgbhh0IWQP+gPquipCbVWgEKgPjMEYEEZ9g0yoYMTXaURGplb2wYwWGQV6bGiM9VjVruiFWrTjZ68nzFBMTXgCD72URHWNkaDQJKx2BYH+KjrH69FpW9ZJ61w4HA6ysrLQaDT069evSd8XSZJ46qmnWLFiBZs2bTrFnKS+vh4fH59myel55ZVXWLZsGQcOHECv1zN06FBee+01unfv7nmO1Wrlscce4+uvv8ZmszFhwgTee++9RoumoqIiZs+ezcaNG/Hz82PWrFm88sorl7SJU3vhinoHNBoNkyZNYtKkSXzwwQds3ryZpUuXcvfdd1NbW4ter+eVV165IDHUarXExcURFxeH3W73hIrz8/Px8/Nr1Hb0YrBarWRnZ6PVahk4cGCb/hAbDAaysrKIiIggKSmpkRi2ZC15U6iqqiI3N/eSl6317elPRFg8m7bVsP+QCYdDIixEQ6/ufgy/KtjT4c1SeBxBrURx4u/bzd/EMasvRdZwVCY1ljoFGq2O+GgHRQU7MdYHed5P9+c3qYtrNS9JIioVKJUKnE7J07bcLeqCICAg42OuRS05MfmEoNapEZxOzLIehSTi52gATQgWPx8qNJ1RWi2IggIVIkcjehNqqkQhi+gcZpeft9ofq9qHvTFX0bM8g4iGUlfZmULCrtZgCwhlmLKIkCGTCRrcG3NiT/K/WItYWI/SVI9OVmFV+57ouubyHJcREAUl9T6haJWgrq8g3FrpMi9RqohQmtAHR2Kos+AURZR+egSFgjAZauxgdAoIdgf1PuGEGYpJqDmASnJi0fhyNLg74bKB46UmjlXEUJ5d4+pjo4C4GB1Tx0d4kghbG6fTSXZ29nkL9wsvvEB6ejobN248ravY+S5YzsbmzZt54IEHGDRoEE6nk6effprx48ezb98+zz1w3rx5rFq1iiVLlhAYGMjcuXO5/vrr2bp1K+Ca4E+ePJmoqCi2bdtGaWkpd9xxB2q1mpdffrnZxtpeuaJW3qejoKCAKVOm4O/vT9++fVm9ejVGo5FJkyaRlpbGmDFjLsrv2uFweNocVldXo9frL9g4xWAwkJ2dTVhYGElJSW26xZ/b29y9xXA+rSGbs5a8Kbh7v7d08x2nU8JgFNFoFPj6NF7Zlf1vFZUrN+DXq6vnmNmpJHNXJcciOtNx5GD69Q6nRzdfRKed41m7qfjpV8zFpWijI4gYMZh9DTH838pqzBYRWXattN1uagajiMMpo9UACEgShNQUorZbkVUqdAoJpdLV+MUqqPFzGrEl9MCp90EUoabOhgrQKZzUGUX6HNtKXG0+StEBgF2l41BEX/IiU+hRlU20tRy1AhI0tQSH6gjwV6PRKIiaNoqqjP3s3V6EVVahjw7D6hOAsHYNPsZqZNlluKKQXOVplf7RlPrHERaqw1hjxt9cjU3tg0oWUSJSEdeL3KB+iLKCUB8ZtcK1b1/n0KCRHYyp3chPck/KfaNRSCIKWcKpUONnb2CiJgPpxrs5etxOXAc9KqWAwylx7LiV3t39mTElstW3dtzC7bb0bYp5iSzLvPzyy3z88cds3LiRnj17tsBIG1NZWUlERASbN29mxIgR1NfXEx4ezuLFi7nhhhsAOHDgAD169GD79u1cffXVrFmzhilTplBSUuJZjX/wwQfMnz+fysrKNpEs3Jq03WVbC7Bjxw6mTp3KzJkzeeutt1CpVIiiyC+//EJ6ejrz58+nqqqK6667jtTUVCZMmHDeK2e1Wk1MTAwxMTE4nU5P//DzNU5xrwwTEhLOSwxbA7cYXkj2uyAIBAcHExwcTLdu3Ty15IcPH2bPnj3nVUveFNye4f369WvxGleVSkFw0OknYP79e1KzYQfW4jK0MRGu8sVDh4hzNjDh7ilEDvzN1tG6txDH/32PX1UtfloN1sw8juwt4fug8dhsvvj6KHE6FYgS+PmqiInWkHfQjKXBDGYnKBWg1iHrdAQbS6jyjUcUnOi1MnU2FdhtBNnrsET4ERqu58hRMwpBgQSYZA2yWmJXxxEcD+pMiKkCSaGk0i+aGt9IFJJEgKUW//oylJIDp70G2xEjJXp/lIJM9cESLBpfquuU6Jz12OprKRk8EWvP0STmrkNtN7kuUqHCpPFnT/RVRIg1aNUCCnM15X4xCAolMqB1mAkuOkBiVAINTg1Vdj8EhSvZTa8QuVbez9V9/Ijbt4Mf67tQ7BOHU1ASYiiif0MWoal9Wb+7mJBgLRaTEx9fX9QqJeGhGgqLzdTUOVp19S2KoscM6XyE+8033+TDDz9kw4YNrSLc4ArJA57S0MzMTBwOB2PHjvU8JykpiY4dO3rEe/v27fTp06dRGH3ChAnMnj2bvXv3kpyc3LIX0ca4osVbpVLxwgsvMGfOHM8xpVLJsGHDGDZsGG+++SaZmZksXbqUF198kfvvv59x48aRmprKxIkTCQhomg3lya/ndhH6ff9wt3FKZGQkgYGBjcS5uLiYvLy8Nt+WFaCwsJAjR440ixieyZe8qKiIffv2nbGWvCm4M/WPHTt2Ts/w1sCnayeibpxIxcofMe0/jMFoxKZR0vXuPxAxoI/neZLdQcWKdTgNJnx7udrL+soyB/Y7UZgk/P1VaDUyomhHlsBqlairsDLckIVPcT5mq4QoyZgCIqgdcC3x0kE6OA9TqInFaFfha20gsu4I1vjuxHX0Q6tREBqswd9PxbHjVrQalwVoVTWUB3akPKAjriJv1/giLcfoWpaNxmHBqAtGYTMjOW2oHA6UopNj2lBqAkNwqCQcvkHoGiqRcnM50GU0VYkKYiry0DlNmDSBFIV0o9ovkpTQo1j2HsKu1iEIJyxeAavKhwBrLZ38bQzvp2DLhr2UK8IJ0Ir0sBcQrzMSdf0NRKRKRHz0NTVHMzFYbOh9Bbr8MRVp9AQy0kvw0TtoMBiorKpCp9WhVOuxOzQ4HK0XpHQLN0D//v2bLNz/+Mc/ePfdd1m3bh19+/a9xKM8PZIk8cgjjzBs2DB69+4NuMx9NBrNKd+7yMhIj4NYWVnZKUnD7p/dz7mSuaLFe8CAAQwYMOCMjysUCgYNGsSgQYN45ZVXyM3NZenSpbz55pvMnj2bMWPGkJqayuTJk8/bqez3e75uIc/JyfEYp0RERFBTU0NxcTEpKSkEB5/Oy7ltcHIL2QEDBjTr/pmbk80afp/pfz4JgrIsc+DAASorKxk4cGCbzNQXBIGQMUPw6dON/es24TQYGDBpHAEdOzR6nq24DGtxKboOv4V0BUGg2i+KgIYG9H5h1FoVaDQ6ZMlJQ62DiNIdxJRlUKcIJiQ2CK3kRF1bSN1xLfXXjmWyai81uw5QWe1AFaSirl9vimL6UlvvQK1S0K2zL5HhGpatKsMhAsgolSBKLmtUz2axLNGlbBcq0U61bxQCIMggCwJKqwVJqaJeE4woyigUArIMTr8gAg3lmAx2akL6UBjcDY3kwCqocSg06JxmCmpVBMhqNJIZlRKUaoXLeQ1XIl6lQabLzPFEdviFup8zEE1mtF0iCBkziYCBrpahPl3jyV21DqXFSt9xI/FLjMdqkwgL0WO2aOjQIQSn04nZbKao2IhaWcvBA1UYG1yTxZasjnALtyRJJCcnN1m433//fV5//XW+//77s97nLjUPPPAAe/bs4eeff261MVyOXNHifT4oFAr69+9P//79WbBgAfv372fp0qW89957zJ07l5EjR5KWlsaUKVMIDQ09ry+2QqHwtDF0G6eUl5d7vrARERGIoogkSW1yn9vdQrShoYHBgwe3SAtZvV5PfHz8efuSn9zudNCgQReVz3CpkSSJvNJiLAnRXDVgyunLlhQKBARkqfGqUK8QkVDTtaOWCouKymo7oqgiMsDJIGM5YT07kN+gobrGgSTJaAV//IoPc9Ud4+g2aSb2impEoxl1eAgqf19q6x1U19iprrWTu8/IL5l1mK0iSqWSoAAVCgGqauxIDlcTGCdKtE4rgdYa6n3CEIAwQwk6h8nVh1yhxK7SgdOJQyEBAlabE73Tgk0dgOBwoBQEZBTYFBpAgUoWUUgyZRYdYnAcMYZqtDhcfdoFGR9jDTatHw3BsVQ0yHScPJLQccOQrDaUfj6eHuOSJLGvuAipRwKDU1I82dV6nZIhA4L4YXMVRcUWfHyUmMxqwsJCmTAyhKgwWyOnPfd39lyGRhf7Gdi1axeiKJKSktKknA9Zlvnkk09YsGABq1ev5qqrLs4Y5WKYO3cu3333HVu2bCE2NtZzPCoqCrvdTl1dXaPVd3l5uaddclRUFL/++muj85WXl3seu9K54hPWLhZZlsnPz2fp0qUsW7aMnJwchg8fTlpaGlOnTiUy8vyTXBwOB7t27cLpdNK5c2ePmIuieFrjlNbEPVZRFElOTm71JJKz+ZL7+PiQm5uL0+lsE2M9G+7V1rnGKjmdFL72EeaDBfh0S3Dt8UoSe/c3sN03magBXQkM0iCJMuVVdnysdQzftwz/6BAEHx9q6hw0GGw4bFY0pQXIM64lMLmn5z07eXJT3+Dgi/QSauscRIVrOHjETEmZFZ1Ogd1hw2GXESUVKpWASiHjMFoZunsJgfWlaG1GREGJUhZBIaC1mTDpgzFrA6j1j8InQI9ks+JTVcq+iBSKQroRbCxFEpRIggKlLOFQajDoQwi3VRJ/TS9sq9cQXXMEFSLIMma1L8e6DsV/2EDuvjmO2JhTt1JEUSQ3Nxe73U7KScLtRpZl8g6b2L3PQGWNnYgwLf17+ZPYycfzPXZPsN0TRlEUCQ0NJTw8vFnbJ7uF2263M2DAgCYL9+eff86TTz7JypUrGTlyZLOM5XyRZZkHH3yQ5cuXs2nTJrp27drocXfC2ldffcWMGTMAyMvLIykp6ZSEtdLSUk/r1o8++ognnniCioqKNl2D3xJ4xbsZkWWZwsJC0tPTWbZsGb/++itDhgwhNTWVadOm0aFDh3MKubu7l16vp2/fvo2czRoaGigvL6eiosJjnBIZGUlYWFirCPnJZWt9+/Ztc2VrJ+cVVFRUIEkSGo2GHj16tFgJ2oXgcDjIzs72RHvO9b6aDhzm+CdLsJVUIKhUyE4n6uhICgZNJueQA0OtGUEhEBLlz9jRUfj8bxHOugZ0HX9LJnRU1yGaLcQ8cQ8NKsHTr8DPz88zYcw7LLJqfSXxcXoUCgGrVSQv38jRYhOSCE5JQKNWEBLsEq/qGjtdjvxEj6Id6BxGVJITUVCid5qxq7Rs7TqVMGMp0cZj+CqcOESo9o1kZ+y1qK1mtHbTCadPl7uXTeWLrFCg1mvolzaA2morx3/Zj5+xGlmlQozrhD42ii6dfbn9xg6oVae2CXVPipOTk5tFZN0GPW4hN5lMF5WL4UaSJHJzc7FarQwYMKBJY5Vlma+//ppHHnmEFStWMGbMmAt67eZgzpw5LF68mG+++aZRbXdgYKBnQjh79mxWr17NZ599RkBAAA8++CAA27ZtA1x/r/79+xMTE8Prr79OWVkZt99+O/fee6+3VAyveF8yZFmmuLiYZcuWsWzZMrZt28aAAQNITU0lNTX1lLar4JqN5uTkEBkZeVYf3tM5eoWFhXmysFvCOKUlHcwuFovFQmZmJlqtFh8fH6qqqlqllrwpuPtU63S6RpO3c2Err8KQtRd7RQ2aiBB8e3elas1PHN12gAq7DgUyMX5OEqYNRdBoKFu8EqVehyokENFoxlFVS+i4YUTPut7zuft9FONgoZ5dB7T4+mhQqtQEBShx2mupqhGw2HXUNzgJDFThq1e6Sv4aRGRjA70PbiCiKh9fWwMKuw2Txo/s+FEcjejNwKodxFfvRzAZsQoaimP6YAiMQlNewtGgLggnfMcdSg06h5n4mgMUJgxiyPUDmDQmnPRVpRSX2lCpBNQqgdBgDVPGRdA5vvHWzcnC3dTw84XgzsWorKykrq6uSc5ev0eSJHbv3o3FYmmycAMsXbqUOXPmsGTJEiZOnHixl3JRnOk6Fy5cyJ133gn81qTlq6++atSk5eSQ+NGjR5k9ezabNm3C19eXWbNm8eqrr7a5hUJr4BXvFkCWZcrKyjxWplu2bKFv374eIe/SpQv/93//x3/+8x8++eST0wr72TAajZ5+6y1hnFJXV0dOTs4l7UTWXLjbnYaHh3saxbRGLXlTcHejCwgIoFevXhc1oajd/CvHP/kf2thoVP6+yLKMvbwayWYj/tG7sBSWULtxO46aBpS+OgKvTiZ8yiiUPqfPAbBYHfzrk3x2ZBtRK0WXm6gM/n4CkeFBOEVXwxeDScRqdT3u56dCJYBCdCIVHEGsqMSm1FEVGIdF40tK4Ua6GPLQREZgbrBCQz0+spWioC4ElB/lUGgv6nzCcCo1+NgNRNYfJdBaw/7EEaQ9MZ4JI8Opa3CQl2+iutZOYICKpEQ/QkNOOLKJMja7hEolszt3lyfhq6X+vna73ePsVVVVhVar9UwYAwMDT/v3dedkmEwmBgwY0OTv78qVK7nnnnv46quvmDZtWnNfipc2iFe8WxhZlqmqquKbb77xeJKHhIRQVVXF/Pnzeeqppy5KDM1msye0fimMU9ymLV27diUuLu6iz3cpqaurIzs7m44dO9K5c+fTvq9n8yUPDw9vMftXk8lEVlYWoaGhF9VT3c3RdxZi3J2HT9dOnmOyLGPam0/UzZMJnzoa0WLFWduA0s8HVcDZM+73HTSy5NtSqmvsGExOJKcVGTCZITxEpEO0FodTS8dYf8xWGYUg4OujoKjYRniomh1ZdciyjO6EI5q6rpKUXctR+PiAfwAKQz0YjSglJ/UKX9TGOoxKXxxKLfKJDnCB5mpqfCM5HtuXJz64nk5xp59oiKJM9p4GcvY00GBwYLVUk9gRpk/tj0bTOs5gbmcv96oc8KzI3fkrbkMUg8HAwIEDmyzcq1evZtasWfz3v//17B97ufzxincrIooi8+bNY+HChfTp04fs7Gw6derk8SS/2NXX7605L9Y45dixYxw6dIjevXu3ee9fd1Ob851knMmX/FK6xrnbyMbExNClS5dmiWQUvPYhlsNF6BMaX7tx7yEiZ1xHxPRx53W+HzZV8UtWLaHBSvbsr8RiVaDT6RBF6NtTT+c4B+u3NKBWOVCrtciCFptdRUSolnEjQ/n4i+PYHRKyDAoFdLCV0C93JXV+Ueh91DTUmBHrDQQIFoIFM/vpQEBNMTalFlGpRucw41Rq2Bc1AP+IAF7538wzvk8/7ahh87Ya1CowmWqxWCAwKIjrRoUzsH/Qhb6lzYYsy9TX13uE3Gq1EhISgsPhwOFwMHDgwCZ/1tatW8ett97Kxx9/zM0333yJR+6lLeHdOGglrFYrs2bNIjMzk6ysLLp27erxJE9PT2f06NFER0d7PMmTk5PPW8h/X07lDq0fPHjQUxcdGRl5znIpWZY5fPhwm21o8nvcHd569ep13iUlzVVL3lTc0YFOnTo1qx2jX+/uGHPzkBwOjw+102BCoVahT4g9x2+fikIJTqdIbU0ViXFafJU6ZEmmyqomroM/E0aHIwtVrFpfTvVxG6JoRaGQcNiVFBQ6iI1RoVarEAQBtVpBiBiFY68WW3U9IkGofTTg1KGuqcJXYcCaMIRKRQARhhLUsoMavyiKgxNxKrUEJp458dNgdJKV2+ByT7NW46OHxIQoyqsc7NzVQJ+eAZ4Wsa2FIAgEBQURFBRE165dMZlMnlC5O1HNHV4/2+ds06ZN3Hrrrbz33nv84Q9/aMEr8NIW8Ip3K3HkyBFqa2vZvn074eHhAAQEBHDLLbdwyy23YDQaPZ7kkydPJiQkxONJPmjQoPPOLv+9cYp7RX4u45T2Yj3qxt3utH///hftb36hteRNpbq6ml27dl2SLYigoSkYsvdh2ncIpZ8vsigiOxwEDR+Ib68u532+6HAFhoY6gpQS6rpjmGsbsEhKzLpgYrp2QKWKJCxETWCAhuhIHXqdEj8fKKswkZVrQKmwUm7Q0DFWj4/OD6sURJE2nrjqXAKVatD7gCRiNemoSrma7n37snanBWNlCU5JQFIoCZCM2EKCCeze6YzjdJW+OVDIdahUrnpgQaEgKEBFbb2DunoHkeFtq8SoqKgIp9PJsGHDADxJgvn5+fj4+Hi2cE5uDPPzzz/zhz/8gXfffZfbb7+9TeedXCpkWb4ir9uNN2zeDjCbzR5P8u+++w5fX1+mTp1KWloaQ4YMuagEnNMZp7hD63q9nt27d2O1WklOTm7T1qPu6EBxcTHJycmXpMObm7PVkje185bbQe1Strx11DZQty0L4+48FGo1/gN6EXh1f5S68xMvk8nEzp0ZHC3wIe+nMmxmJwofLSqFTGdbMUMCy+k8bxZf7VBQVeMgOvK380uyzNFjFq5ODuDX7CqKSy2Ioh2lQsBulBju2EN4+RGcZitOjZ76zn0w9hnMkKvC+HZtJXaHE3t5NYIkoggNQalRc92YCMYMP/3E7HipmX98tBcfPXSKj/I0ZqlrcOB0ytwzM5bAgNbZ9/497k5/1dXVDBw48JTvl9PpbGSb+/jjj9O7d2969erFO++8w6uvvsrs2bOvSAE7Wbj/7//+j2PHjhEWFkZaWlqbjww2F17xbmdYrVZ+/PFHli1b5vEknzp1KtOnT2f48OEXlWB1snGKO6lGo9HQs2dPQkJC2uxNQpZl9u/fT3V1NcnJyS0aHbgQX/KSkhL2799Pnz592nzugMFgIDMzk9jYWAKOlJHz2Y/Ud+iGLCiI1FqJ0Zmx7s8ndMI1rBCTsVglwkMbJ1odPGzEz1eF3S7RYHTidMrotBJmsw0frY26UguCxY5TH4ik9yUoUMO8P8bz40+1HDlqwsdHBYKMxSISHqLlptToU14DXJ/fzMwstmUpqDMG0CFah06rxGwRKauwMbBfIFPGtY33291OuKKigoEDB55z68rpdPLdd9+xcOFCfvzxRzQaDWlpaaSmpjJp0qRLOllta5ws3Lfccgvbt28HXGVlM2bM4N133z1vQ6T2iFe82zEOh4NNmzaRnp7OihUrcDqdTJkyhdTUVEaOHHnBCVZms9lTF63X66mqqjqrcUpr4q6JNZlMpKSktGp04GRf8srKytPWkp/sYnaxYf1LTUNDA1lZWZ5s/bL/raby2w349WwcdrcUFuOTGE/eoDS2Z9bR6UQTFwCD0cHePCP+fiq6JPii1Siw2yWOHjNTZ3Bis0k4HCIatYjT6aTBKKPVKrl9RigD+kWzI9tA7r4GJAm6dfZl6OBgOkSd+jd2N7ZRqVTEd+rJ9xtrOFpswSnKqFUCiZ18mDQmHD/f1t8pPF/hdrNr1y4mT57Mn//8Z0aPHs3KlSv55ptv2L9/P8899xzPPPPMJR552+Lmm29m586drF+/Ho1Gw549e5g8eTLPPfcczz33XGsP75LjFe/LBKfTyc8//8zSpUtZsWIFRqORyZMnk5qael6e5A0NDWRnZxMVFUW3bt0QBKGRcUplZSUKheKcq8uWwOl0elqz9u/fv021Oz1dLbler8dsNjfLfvylpq6ujqysbBITOxMfHw9A9fqtlCxMx7dnF084WpZlTPvyCbtuBKqJE0n/royyCht+vkocThmTWcRgdNK1sw8B/r9FhYwmJ/vyDFTVOvDVK1GrFTgcEmoV+OhFggJsdIkzc7TUH6NFi0atJa6DDyOHhp7SgMXhcJCVlYVGo/E0thFFmaLjFowmkcAAFbHROs+EojVxt1MuLS1l4MCBTU583Lt3LxMnTmTevHk8/fTTjSbPBQUF2Gw2kpKSmmWMW7Zs4Y033iAzM5PS0lKWL19OWlqa5/EzTdxff/11nnjiCQA6derE0aNHGz3+yiuv8Oc//7lZxvj444/z9ttvc/ToUeLi4pAkCVmWmThxIsHBwSxevLhNtI++lLT+NNRLs6BSqRg5ciQjR47k3Xff5ZdffmHp0qXMnz+f6upqjyf5+PHjz+hJ7i6v6ty5M506dfIcP51xinvPVpZlj5BfSoOG32O32z037EvZMetCOdmXvGvXruzdu9fTjzknJ6dVasmbgsMp8fMvJWz6uRC9TwRmpx6V1kqHKB3+yT3Rrd+GOe8I2thoBKUC2/FyVMEBBF7dH59QDTdMjSJnTwMFRRb0OgWR4Vp+zalDq218I9WoFeh0SiLDFPj4KLFaJcLDNESFa3E6Zaw2kdIamQaTGb3ahtVaz559WkpK67jthjg6dQxyjfck4e7Xr5/n86dUCiR0vPQGOeeDOy+jpKTkvIT7wIEDTJkyhTlz5pwi3ECzVimAK8ehX79+3H333Vx//fWnPF5aWtro5zVr1nDPPfecUmP+4osvct9993l+9vf3b7Yxun3JP//8cx555BHPe1lZWUnnzp0ve+EG78r7skeSJDIyMli6dCnLly+npKSE8ePHezzJ3V+oDz74AF9fX8aOHdvkBCr36tLdFKaljFPc7U4DAgLo3bt3m2ltejpO3o9PSUnB19e3VWrJmzrWpSsL2LK9jJBgfwKD/DAYnAQHqbl+UhSxMTrMh49SvvR7LIePIcsSuphIwqeNJWBAr9Oe02IVWfh1MSaz2CjLu7zShtMp4xRlIsI06HW/fVaKii2o1QJWq0SnjnoEQUAURUxGI4cLzXTpaCK5t5rQ0FCqqqrw8fFpJNxtFXdC5cCBA884gf49hw4dYuLEidx+++288sorLX6NgiCcsvL+PWlpaRgMBn788UfPsU6dOvHII4/wyCOPXLKxffHFF9x5553Mnz+fl156iQceeIBvvvmGffv2ERAQcNlno3vF+wrC7VLkNk4pKChg9OjRiKLIli1bWLRoEZMnT76gc7eUcYq7ocm5+r+3BU62Hx0wYMBp9+N/30jnUtSSN5Xde4/z6VeFxEQFExnpSoCSZZnCYxb69fQnbaKrZl4WRazF5SCKaGOjUJyja1lGTh3rtlQjy+Dro8RkFkGAMcNDOHbcxp48A4H+KjQaBbX1DnQaBSFBakorbMR1aLzdc6zESlKinquTXfvGoiii0WjaxDbO2Thy5AhFRUXn5R9fUFDAddddxw033MBbb73VKtd1LvEuLy8nNjaWRYsWccstt3iOd+rUCavVisPhoGPHjtxyyy3MmzfvvCNkJwtwQ0OD577i5uuvv+b222+nS5cu2Gw2vvnmG/r06YPT6Wxz0bjm5vK+Oi+NUCgUJCcnk5yczIIFC9i9ezf33nsv2dnZAHz88cdUVVUxefLk8/YkFwSBwMBAAgMD6dq1q6flaH5+Pnv27PEYp4SHh1/wl8rd0CQ+Pp6EhIQ2Ldxu60mbzcagQYPOuB9/qWvJm0p5eTk7Mw+h9wkjIiLAc1wQBAID1BQdt+JwSqhVCgSlEn1807N5B/QLRK9TkrWngdo6B3EddCT3DqBXdz/69JAIDlKx76AJm00iPlbPVclBVFTZKCqxNrp5y7KMwyERFKikqOgIISEh9OrVy5Nb4N7GcX/WQkJCsFhBEFyThtb6vBQUFFBUVMSAAQOaLNxFRUVMmjSJadOmtZpwN4VFixbh7+9/Snj9oYceIiUlhZCQELZt28ZTTz1FaWkpb7/9dpPPffLf/u233+bbb7+lsrKS4cOH88EHHwCupDVfX19uu+02xo8fT+/evQEue+EG78r7isVqtXLbbbexZ88e1qxZg8Ph8HiS79q1i2uuucZjZRoREXHBNz5ZljGZTJ4Vuds4JTIy8rz2eysrK9m9e3e76KnudDrJyclBlmX69+9/QXvazVFL3lRKSko4cOAAGp+ubNhqI66DDqXyt/OXV9rw91Nx321xKC8i6UuWXWFylVI4ZfxWm4jdIePno0ShEKiqsbN4WQkNBifhYa6JT2WVHV8fBT0SyomO9KFPnz6NRO3ktqN5hyrYe1DCaPFBr9eT1DWYa64OJSKsZbcljh49SkFBAQMGDGjynq97a2vs2LF88MEHrSrc51p5JyUlMW7cOP75z3+e9Tyffvop999/P0ajsUlbQycL95///GcWLlzIE088gdVq5Z133uHFF1/kgQce8Dx/5cqV3HTTTdxzzz28+eabTU7Qbc94xfsK5cEHHyQjI4Nvv/22URhKlmUKCgo8ofWMjAyGDBnCtGnTSE1NJSYm5qKEw2QyecLEbuMUt5Cf6Uvtrovu3bs3kZGRF/zaLYHdbic7Oxu1Wk2/fv2aZbvgQmrJm0pxcTEHDx6kX79+6PSBLPq/49Q1OImJ0qJQCJgtIuUVNsaOCGXY4JCLvpbzoaDIzObtNZRX2pBlCA9VEeJXQmIn37PmOtTWOfj6mxJKSi3otHbMFgt1dSJREWpmTAmnc6eoFikpLCoq4vDhwwwYMICAgIBz/wJQVlbGddddx9ChQ/nkk09aPfHqbOL9008/MWLECHJycujXr99Zz7N371569+7NgQMHGvl7n4sFCxbwxhtvsHHjRgYMGIAkSaSlpTF9+nQGDBhA586dUavVaLVa1qxZw/XXX8+UKVNYvHhxm0oEvRRcFuL9/vvv8/7771NYWAhAr169eO655zyetm7f2K+//rqRb2xbF4JLiTvR52z7qrIsc+zYMZYtW8by5cvZtm0bAwcO9LRp7dix40UJuXu/t7y8nIaGBoKCgjyi5L65Hj16lMOHD7eLumir1UpWVha+vr6nrAqbi6bUkjcVt7j079+f4OBgAPILTKzdWEV1rR0AlUpBUhdfJo0NR6dteSERRZmKajt2u52iwt0EBvidM0lx6681rNtS3aje3Gazk3/EQN8kG5Eh9fj7+3u2cS7FlsSxY8fIz88nJSWlyQ1UKioqmDRpEv379+e///1vmwj9nk2877zzTvbs2UNGRsY5z/Pll19yxx13UFVV5fmsnYulS5dy00038fe//52HHnrIczw+Ph6tVktpaSlBQUE89dRT3H333eh0OlavXs2WLVt49dVXm3yN7ZXLQry//fZblEolXbt2RZZlFi1axBtvvEF2dja9evVi9uzZrFq1is8++4zAwEDmzp2LQqFg69atrT30doMsy56az2XLlnk8yd1dni7W19tqtXoysOvq6ggICEChUGAwGM7rBthamM1msrKyCA4OpkePHi0S6rwYX/KCggIKCwtP+94ajE4KisxYba5uaR1j9RcVLr9YbDYbmZmZ+Pv7N8lpL/27UvIOm4mNaby6Liq2kNwngHEjgjxbEtXV1c2+JVFcXMyhQ4dITk5ucqvO6upqJk+eTLdu3fjqq69addVoNBrJz88HIDk5mbfffptRo0YREhJCx44dAVfyWHR0NG+99RZ/+tOfGv3+9u3b2bFjB6NGjcLf35/t27czb948Jk6cyKJFi5o8jo0bN/L444/TtWtXHn74YYYMGcKwYcNQqVS8/PLLREdH88gjj7Bjxw527tzpGZsbb7Z5OyUkJIQ33niDG264gfDwcBYvXswNN9wAuOome/Towfbt27n66qtbeaTtD7cn+YoVKzye5ElJSR4hT0pKumghz83NxWAwIMsyfn5+nn7rTS2xaUmMRiOZmZmtmgHfVF9yWZY5cuQIx44dO6992NbCLdwBAQH06tWrSe/tus2VbMuoa1TnLcsyhUUWRg4L4dohv0VwRFGkqqqKyspKz5aEO5IRHBx83pOw48ePk5eXd17ue7W1tUydOpW4uDiWLFnS6s2GNm3axKhRo045PmvWLD777DMAPvroIx555BFKS0tPmfxlZWUxZ84cDhw4gM1mIyEhgdtvv51HH330vEshN2/ezF/+8hfCw8M5dOgQUVFRLF++3PO53bt3L/3792fFihUXXCnTXrnsxFsURZYsWcKsWbPIzs6mrKyMMWPGUFtb2+jLFB8fzyOPPMK8efNab7CXAbIsU1tby8qVK0lPT2fdunV07tzZY2V6vp7koiiye/duzGYzKSkpKJVKz4q8pqbG47IUERGBn59fq8+s6+vryc7OJi4ujs6dO7f6eNycqZbcaDRSUVFxXpnPrYXVaiUzM5PAwMAmCzdA0XEL//umFEnG0wO9vNKGRqNg5vQYoiNOLyDuBkTujH9RFD2Z6+eKZMBviX/JyclNDg03NDQwbdo0wsLCWL58eavW+bclTl41b926lT//+c8cPHiQd999t5Fv+datW7n77rv5/PPPGTx4cGsNt1W4bMR79+7dDBkyBKvVip+fH4sXL2bSpEksXryYu+66C5vN1uj5gwcPZtSoUbz22mutNOLLk/r6eo8n+dq1a4mJiWHatGlMnz6d/v37n1XIHQ4Hu3btQpIkkpOTTwkduo1TysvLG2VgR0ZG4u/v3+LCWVNTw65du+jc+bcWom0Rd27B0aNHsdls+Pv7ExUV1Sq15E3FarWSkZFBcHAwPXv2PK+/rSzL5O4zsOWXWmrrHQgChASpGTk0hF7dmxZpcPctcOcWWCwWQkJCPJGM36+OS0tL2b9/P/379yckpGmJfUajkbS0NHx9fVm5cuUVkSF9oWRmZvLYY4/h7+/PvffeS2pqKlarlaFDh9KjRw++/PLL1h5ii3PZiLfdbqeoqIj6+nqWLl3Kxx9/zObNm8nJyfGKdythNBpZvXo16enprFmzhtDQUI8D2qBBgxoJeXl5OYcPH0an0zUpS9sd7nTfXNVqdYsap7hL17p3706HDh0u6WtdLO4ubzU1NfTp08cTXq+pqWnRWvKm4hbukJAQevToccFjMpmdHC+zIQAdonX46C884e73VRLu5Mrw8HDq6+vZt2/feSVVmkwmZsyYgUKhYNWqVW1yO6itkZGRwZNPPump637zzTfx9fVl06ZNgCty0lbr4S8Fl414/56xY8eSmJjIH/7wB2/YvA1gNptZu3Yty5Yt83iSu7PWg4KCmD59Ovfffz+PPvroeX8BTzZOqaioaFRKFRwc3OyCVFZW5il9aesVC5IksW/fPurr60/p8taSteRNxd369mKF+1LiTq50T4AAoqOjiY+Pb9JWjsVi4aabbsJms7FmzZo2n3dwqTlZdO12+2n3/N1h9F27dvHEE0+wfv16rr32WjZu3Ai4JvOtXVbX0ly24j169Gg6duzIu+++S3h4OF999ZWncX5eXh5JSUnehLVWwmq1sn79epYtW0Z6ejoGg4EuXbrw1ltvMWLEiIvKtHXvW5aXl3tKqdwrywtJQPo97rrovn37NqqPb4ucbJc6YMCAs+6nXspa8qbiFu7Q0NCLTnpsCSoqKsjNzSUuLg6r1UpVVRVardbzvp0uAmSz2Zg5cyZ1dXWsXbu2zVdRXGpO3tv+8ssvqampYcaMGaf143Y/d/fu3SxdupS//vWvAFdEK9TTcVmI91NPPcXEiRPp2LEjBoOBxYsX89prr7F27VrGjRvH7NmzWb16NZ999hkBAQE8+OCDAGzbtq2VR35l89NPP3lW3yqVipUrVyKKIlOmTCEtLY2RI0deVOatO5nOvSJ3G6dERkYSEhJy3jP1wsJCCgoKGtVFt1VObs+akpJyXu9jc9aSNxWLxUJGRgbh4eFtvmc9/LZt0rt3byIiIoDfJkDuzHVBEAgPDyc/P59x48ahVCq5/fbbKSkpYf369W3+M9SSvPrqq7z++uu8+uqrjB8/vpGr4cn8PjR+pQo3XCbifc899/Djjz96yhb69u3L/PnzGTduHPBbk5avvvqqUZOWqKioVh75lcu3337LzJkzefvtt/njH/8I/OZJvmTJElasWIHZbGby5MlMmzaNsWPHXlRXrJNbZ5aXl+NwODyCdC7jFLeVY3FxMSkpKU3ultVaiKJITk4OoiieNvHvfLiYWvKmYjabyczMbDfC7bbO7dWr1xm3TSRJoq6ujoMHD3LzzTdjNBoJCAhAq9WyefPmM4rTlcLJK+61a9dyxx138MUXX3ju2V7OzWUh3l7aH1999RUajeYUD2A3oiiyfft2li5dyooVK6itrWXChAmkpaUxfvz4i8qSPrkmury8HKvVekbjFFmWycvLo6KigpSUlDZfXnVyX/Xk5ORmXZU0tZb8fHALd0REBN26dWvzwl1dXc2uXbvOKty/x263c/3115Obm0tYWBgFBQWMHTvW0xfBvXK/Eti0aRMjRoxotHp+4403WLNmDd9//70nQuQW98u90crFcOWk5l0i3n//ffr27UtAQAABAQEMGTKENWvWeB4fOXIkgiA0+vf7jkRXIjNnzjyjcAMolUqGDx/O3//+d44cOcIPP/xAfHw8zz33HJ06deLWW29lyZIlGAyG835tQRAICAigS5cuDB06lKuuugo/Pz8KCwvZvHkz2dnZlJSUYLPZ2Lt3L1VVVQwaNKjNC7fD4SArKwtBEEhJSWn2cOLp3rfAwECKiorYvHkzmZmZHDt27JTKjjNhNpvJyMhod8Ldo0ePJgu3KIrMnTuX48ePs3v3bg4cOMCePXu49tprWbhwoafpSXOwZcsWpk6d6vEfWLFiRaPH77zzzlPuRdddd12j59TU1HDrrbcSEBBAUFAQ99xzD0ajsVnG9/HHH/Pqq6+ecr7KykqsVisajQZZlpEkySPcP/zwA0eOHGmW17/c8K68L5JztWYdOXIk3bp148UXX/T8jo+PT5sPvbZVJEkiJyfHY5xSWFjI2LFjSU1NZdKkSRddJuYuCSovL8dgMKBUKuncuTMxMTGt3vnqbNjtdrKystBqtfTt27fFM2/P15fcZDKRmZlJVFQUXbt2bfPCXVNTQ05ODj169CA6OrpJvyNJEg899BBbtmxh48aNp3XDa86V5Zo1a9i6dSsDBgzg+uuvP6Un+Z133kl5eTkLFy70HNNqtY323idOnEhpaSkffvghDoeDu+66i0GDBrF48eKLHl9NTQ1ms5nY2Fjy8/OJi4tDq9XyzTffMH36dNLT05k+fbrn+QaDgfvvv5+pU6cyc+bMi379yw2veF8C3K1Z77nnHkaOHEn//v35+9//3trDuuyQZZm9e/d6rEzz8vIYNWoUqampTJkyhZCQkAu6Mbr3jO12OxEREVRXV5/ROKUtYLPZyMrKwsfnVJvM1hrPyaVUv68ld6+4Y2Ji6NKlS5sX7traWrKzs0lKSjptFvTpkCSJxx9/nLVr17Jx48YW3+M+naHInXfeSV1d3Skrcjf79++nZ8+e7Ny5k4EDBwLw/fffM2nSJIqLi5t87b9nxYoVxMXFMWDAAMBVr/3HP/6RP/zhDzz00EPo9Xr+9Kc/sWjRIt5//33Gjx+P2WzmueeeIysry/PZ9tKYKzNN7xLhbs1qMpkYMmSI5/iXX37JF198QVRUFFOnTuXZZ5/1fhibAUEQ6N27N7179+b555/n4MGDpKen88knn/DQQw8xYsQIUlNTmTp1apM9yR0OB9nZ2SgUCgYNGoRKpSIxMRGr1epZWR48eNCzsoyMjGzVzljuFqLu3t+tLdzgWs3FxsYSGxvbqJa8sLAQjUaD3W4nKirqos1sWoK6ujqys7Pp1q3beQn3U089xerVq1tFuM/Gpk2bPP0PRo8ezd/+9jdPY5nt27cTFBTkEW5w9ctQKBTs2LGj0aq4qRw4cIC//e1vREVF8fLLL9O3b1+SkpLo3r07K1euRKVSMXfuXF599VXCw8O5//77iYyM9Dgebtu2DR8fnyuyjvtceFfezcCZWrOCq4F/fHw8MTEx5ObmMn/+fAYPHsyyZctaedSXL27zjfT0dJYvX+7xJE9NTWXatGln9CR3r2B1Ot1ZQ892u90j5DU1Na1mnOKui76QFqKtQX19vSe0b7PZWqWW/Hxwj7dLly6nDXmfDkmSeP755/nqq6/YtGkT3bp1u8SjPD2nW3l//fXX+Pj4kJCQwOHDh3n66afx8/Nj+/btKJVKXn75ZRYtWkReXl6jc0VERPDXv/6V2bNnX9BYFi9ezKJFi9BqtfzlL3/hqquuwmKx8NBDD5GTk8Mf/vAH5syZg4+PD7m5uRQXF+Pr60tKSgr+/v5XdDnY2fCKdzNwptasPXv2POW5GzZsYMyYMeTn55OYmNgKo72ycHuSu4V8+/btDBw4kNTUVFJTUz2e5IcOHeLLL79kxowZ57WCdTgcHgOQ6urqFms3ajKZyMrKajflVUajkYyMDI+BiyzLLV5Lfj64hTsxMfEUq8kzIcsyL730Ep988gkbN2487fe/pTibD7ebI0eOkJiYyPr16xkzZkyzi/fJNdlLly7lww8/RKvV8vTTTzN06FDsdjsPPfQQGRkZzJgxg9mzZ5/ixHaltTw9H7zifQlwt2b98MMPT3nMZDLh5+fH999/z4QJE1phdFcusixTUlLi8ST/6aef6NevH1dffTVfffUVo0ePZuHChRd8s3A6nZ693ktpnOK2II2Ojm4XyV4Gg4HMzEzi4uJOO2FtiVry86GhoYHMzMzzMpyRZZk33niDf/3rX2zYsIG+ffte4lGenaaIN0B4eDh/+9vfuP/++/n000957LHHqK2t9TzudDrR6XQsWbLkgsLmJ6+a09PT+fDDD1GpVPz5z39mxIgRiKLIww8/TGZmJtdeey1PP/20N5m3iXinNJcASZLOWC6Tk5MD0OSMVS/NhyAIdOjQgblz5/Ljjz9y/PhxJk6cyH/+8x9qa2vJy8vjjTfe4MCBA1zInFalUhEdHU2/fv0YOXIkXbp08Zhs/Pzzzxw8eJC6uroLOrcbg8FARkYGHTp0aFfC3bFjxzNGmgRBIDg4mO7duzN8+HAGDhyIj48Phw8f9pgLlZSU4HA4WmS8WVlZJCQknJdw/+Mf/+Af//gHa9eubXXhbirFxcVUV1d77kVDhgyhrq6OzMxMz3M2bNiAJElcddVV53VuSZIAGk28ZsyYwQMPPIAoirz88sts2LABpVLJv/71L3r27El2dvZFfTeuNLwr74vkbK1ZO3fu7Nn/Dg0NJTc3l3nz5hEbG8vmzZtbe+hXPNu2bWPy5Mk8+eST3H///XzzzTekp6ezfv16EhMTPVamPXv2vKjQnSiKnhDxxRinuEO5nTp1IiEh4YLH01K4hTs+Pv6Cx3smX/KIiIhm9752h/bPZ7yyLPP+++/z0ksvsXbt2lb1lDYajeTn5wOQnJzM22+/zahRowgJCSEkJIS//vWvzJgxg6ioKA4fPsyTTz6JwWBg9+7dnvdy4sSJlJeX88EHH3hKxQYOHHhepWLu5LI9e/awcOFCrFYroaGhPPvss6jVatauXcvf//53RFHkySefZOzYsYCrjj40NNTbmKWJeMX7Ijlba9Zjx45x2223sWfPHkwmE3FxcUyfPp1nnnnGGxpqZQoLC+nTpw+vv/76KXt59fX1fPvttyxbtozvv/+eDh06kJaWRlpaGv369bsoIT/ZOKWiosLT//pcxim1tbXk5OS0ee9wN+7Qc3NONM63lvx8cG9FuPfkm4Isy3zyySc8++yzrF69mmHDhl3UGC6WTZs2MWrUqFOOz5o1i/fff5+0tDSys7Opq6sjJiaG8ePHs2DBgkYNZ2pqapg7dy7ffvstCoWCGTNm8I9//KPJDYrcwpuTk8M111zD6NGjkSSJ7OxsAgMD+eKLL0hOTmbNmjV88MEHlJaW8vLLL3sE3CvcTccr3pcRr776Kk899RQPP/ywp67c3df966+/btTXva1bWbYE2dnZJCcnn/U5BoOB1atXs2zZMlavXk1YWJhnRT5w4MCLEvLTGae4xejkpC13g5Bu3boRGxt7wa/XUriFOyEh4ZKVSZ2rlvx8BMBkMpGRkUFsbGyTk0hlWebzzz/nySef5Ntvv+Xaa6+90Eu57DCZTEycOJH+/fvzj3/8w9NWd9KkSVRWVpKVlYWvr6/HLOq1115rF5GktoZXvC8Tdu7cyU033URAQACjRo3yiPfs2bNZtWoVn332GYGBgcydOxeFQsHWrVtbd8DtELcneXp6Ot999x3+/v4eV7Srr776oupQz2ScotfrOXr0KD169LjgJhktiTu035IRgovxJXc3jImOjm5ywxhZlvnqq6+YN28eK1asYMyYMc15Oe2Sk+uwzWYzw4YN4/HHH+fWW2/1JK2ZzWb69OnDtGnTeOeddwBXxMPPz8+bVX4BeMX7MsBoNJKSksJ7773H3/72N09Ht/r6esLDw1m8eDE33HAD4Gqa0KNHD6+X+UXi9iRPT09n5cqVaDQapk6dSlpaGsOGDbtoJy+DwUBBQUGj0PrpjFPaEhdSXtXcnI8vuVu4z7dF69KlS5kzZw5Lly49pTf4lcLpwttVVVUAHj/2cePG8a9//QtwTbDUajW33347oig2S7vVKx3vVOcy4IEHHmDy5MmefSM3mZmZOByORseTkpLo2LEj27dvb+lhXlbodDqmTJnCwoULKSsrY9GiRQDcdddddOnShTlz5rBu3Trsdvt5n1sQBMxmM1VVVfTt25err776tMYpLZF93VTq6upaXbgBj1j37t2ba6+9lp49eyJJErt372bLli3s3buXyspKT2/1yMjI8xLub775hjlz5vDVV19dscINeN6vxx9/nA0bNlBbW0t8fDw//fQTgiDw8MMPs3HjRt577z0Az2RWp9OhVqtxOp3ezPKLpG1O4b00ma+//pqsrCx27tx5ymNlZWVoNJpTGh9ERkZSVlbWQiO8/FGr1YwfP57x48fz3nvv8dNPP7FkyRLmzJnj8SRPTU1lzJgxTeqJXlJSwoEDB+jXrx9hYWEA+Pn5kZiY6DFOKSoqYt++fYSEhHhWlq1lnOJuIXo+nchaAoVCQVhYGGFhYY1qyffv34/NZsPHx4fAwEBEUWxSNGPVqlXce++9fP7550ydOrUFrqBtk5uby+7du/nll1/Iy8tj1qxZnlrwyZMns2/fPj766CMOHDjAuHHjyMnJ4b///S9r165ts9Gj9oT3HWzHHDt2jIcffph169a1KaOMKxmVSsWoUaMYNWoU//znP9m2bRvp6ek8/vjj1NXVcd1115GWlsa4ceNOmyF97NgxDh06RP/+/QkJCTnlcV9fXxISEkhISMBisVBeXu4R+9YwTnGbdnTt2rVNCffvcdeS6/V6KioqPBnqR44cYe/evef0JV+3bh133XUXn376Kddff30rXEHbo2/fvjz22GNMnjyZkJAQJk6c6HksPj6eJ598ki5duvDBBx+watUqQkNDWbp0KSNHjvRmlTcD3j3vdsyKFSuYPn16o0QpURQRBAGFQsHatWsZO3YstbW1jVbf8fHxPPLII8ybN68VRn1lIkkSv/76q6dNa1lZGePHjyctLY0JEybg7+/PggULKCoq4o033jglWnIuTjZOqaurIyAgwNNv/VIZp7iFu71kwbtNXIKDg+nRo4dHPE5XS97Q0OBJutu0aRM33XQT77//PrfddtsVLzonJ6dt3ryZFStWUFJSQllZGbNnz+bmm28+5Xeqq6tRKBQEBwd7hbuZ8Ip3O8ZgMHD06NFGx+666y6SkpKYP38+cXFxhIeH89VXXzFjxgwA8vLySEpK8iastSJuT3K3lenRo0eJjY2luLiYzz//nIkTJ17Uza0ljFPc5Wvdu3enQ4cOzXLOS4nNZiMzM5PAwMCzmri4a8lffPFF/ve//xEfH8/x48f561//yvz586940Tk5c/yTTz5h1qxZBAQEkJWVxWuvvcbx48eZM2cOt9xyCwBZWVlERka2i89Ie8Mr3pcZv/cPnz17tqeeMiAggAcffBBwdRfz0vpIksScOXP4/PPPiYqKori4mNGjR5OamuoJR16MYFwK45T2Jtx2u52MjAyPbWpTr3nlypXceeedJCYmcujQIXr16sX111/P9ddf3y5c3JobdzmXzWZjyJAh+Pj48OyzzzJ+/HgEQSArK4s333yT4uJiZsyYQbdu3Zg8eTKbNm1ixIgRrT38yw5vtvllzjvvvMOUKVOYMWMGI0aMICoqymtH2kaQZZn58+ezcuVKdu7cSX5+Prt27WL48OH85z//8bRo/eSTT6ioqLig7Fy1Wk1MTAzJycmMHDmSTp06YTQa2bFjB9u2bSM/P5+GhoYmn7u6upqcnBySkpLajXBnZmbi7+9/XsKdkZHBn/70J1577TX27NlDRUUFjz/+ODk5OYwZM+aM3gUXypYtW5g6darHrnbFihWexxwOB/Pnz6dPnz74+voSExPDHXfcQUlJSaNzdOrUCUEQGv179dVXm22MCoUCWZYZOXIksbGx/Pjjj4wbNw5BELDb7aSkpPDXv/6VpKQk/vnPf3Lvvffyz3/+0yvclwjvytuLl1Zi+/btzJw5k/Xr19OlS5dGj7k9yZcuXcry5cvJzMxkyJAhpKWlMW3aNKKjoy9q5SeKoqexSWVlJRqNxpPsFhgYeNpzV1dXs2vXLpKSktpFwxiHw0FGRga+vr707t27yU1AcnJymDx5Mk8//TSPP/74Ke/FpfCXXrNmDVu3bmXAgAFcf/31jRzB6uvrueGGG7jvvvvo168ftbW1PPzww4iiSEZGhuccnTp14p577uG+++7zHPP397/orZKT96izsrI8PgAxMTH8+uuvbNy4kRUrVvCHP/yBP/3pT1gsFurr6zEYDPTp0+eUc3hpHrzi7aXZOF171pEjR55iwnL//ffzwQcftMII2x5ms/mcfbllWaaoqIhly5axbNkytm/fzuDBgz2e5HFxcRct5DU1NZSXl5/S2MRtnFJVVUVubi49evRoF454DoeDzMxM9Ho9ffr0abJw79mzh0mTJjFv3jyefvrpVhGcpth57ty5k8GDB3P06FFPXX2nTp145JFHeOSRR5ptLCeLbkNDA0ePHqVfv37897//JS8vj+zsbAwGA/Hx8aSnp/N///d/TJky5Yzn8NJ8eEvFvDQLO3fu5MMPPzytHeJ9993Hiy++6Pn5Yk0kLiea8l4IgkB8fDzz5s3jkUce8XiSp6en88wzz9C/f3+PkHfu3Pm8b5RKpZLw8HDCw8MbGafk5uYiCAL+/v7U1tbSs2fPdiPcWVlZ6HS68xLu/fv3M3XqVB544IFWE+6mUl9fjyAIp1QlvPrqqyxYsICOHTtyyy23MG/evIuKErjfg1tuuYXx48dz55138tRTT/HYY48RFhbGs88+y7Bhw4iLi6OgoIBjx46d8RxemhfvnreXi8ZoNHLrrbfyn//8h+Dg4FMe9/HxISoqyvPP66h24ZzsSb5hwwaKi4u599572bJlCwMGDGDYsGG89tpr5OXlXdAeuUKhIDQ0lJ49ezJixAji4uKoqalBoVCQl5fn6VDm9mtuazidTrKzs9FoNPTt27fJwn3o0CGmTJnCXXfdxQsvvNCmBcdqtTJ//nxmzpzZ6Lv00EMP8fXXX7Nx40buv/9+Xn75ZZ588slmeU2FQsFbb72FxWLhpZdeIiMjg127dnHzzTcTFxfHjh07KCwsbBeOd5cL3rC5l4tm1qxZhISE8M4775yS7T5y5Ej27t2LLMtERUUxdepUnn32We/qu5mRZZmamhq++eYbli1b5tlHdzug9ejR47yNHyorK8nNzaV3795ERERQX1/vsTJ1Op2EhYURERFBWFjYRZmyNBdu4VYqlfTr16/JYzpy5AgTJ07kxhtv5M0332x1g4yzhc0dDgczZsyguLiYTZs2nXUi/Omnn3L//fdjNBrPy/v85DC3e3//119/5cEHH+SZZ55h6tSpnlrvvLw8tm7dyjPPPMOsWbN45ZVXzvt6vVwY3rC5l4vibO1ZwRVui4+PJyYmhtzcXObPn09eXp43472ZEQSB0NBQ7r77bu6++27q6uo8nuR///vfiY2NJTU1lenTpzdpRVpRUcHu3bvp3bu3xz42KCiIoKAgunXrRkNDAxUVFeTn57Nnzx7CwsKIjIwkLCysVVpfiqJIdnY2CoXivIT76NGjnva1bUG4z4bD4eCmm27i6NGjbNiw4ZwRrKuuugqn00lhYSHdu3dv0mv8fn/a/bdMTk7G39+f999/n6lTp6JUKrFarezbt4/Fixczd+5cnn76aQCvQ1gL4V15e7lgjh07xsCBA1m3bp1nr/v3K+/fs2HDBsaMGUN+fn6TvZO9XBwGg4FVq1axbNky1qxZQ1hYGKmpqaSlpZ3Wk7ykpIT9+/fTp08fIiIiznpuWZYxGo0eK1OLxXLOVqPNjVu4wSUyTRXu48ePM2HCBMaNG8f777/fZgTndCtvt3AfOnSIjRs3Eh4efs7zfPnll9xxxx1UVVWddjsLGou12/kL4MUXX/TUbQcHBxMaGsru3buZOnUqb7zxBjfeeCOAp9e+24/bK9wth3fl7eWCyczMpKKigpSUFM8xURTZsmUL//rXv7DZbKfcSK+66ioAr3i3IP7+/tx8883cfPPNmM1mvv/+e9LT00lLSyMgIIBp06aRmprK1Vdfzeeff85bb73F2rVrzyncgCehzd/fv1WMU0RRJCcnB1mWSUlJabJwl5WVMXnyZK699lree++9Vhcco9FIfn6+5+eCggJycnIICQkhOjqaG264gaysLL777jtEUfQYC4WEhKDRaNi+fTs7duxg1KhR+Pv7s337dubNm8dtt93WJOFesWIFVVVVXHPNNcTHx6NWqzEYDIwaNYrBgwdz/fXXM3r0aPr168fu3bs94u3ute8+X2u/j1cS3pW3lwvmXO1Ze/fufcrvbN26leHDh7Nr167TZqZ7aTmsVivr1q3zeJJLkoTRaGTevHk8++yzFx3+dhunVFRU0NDQQFBQEJGRkYSHhzeLcYooiuzatQtRFElOTm7yeCsqKpg0aRLJycksWrSoTThcbdq0iVGjRp1yfNasWbzwwgsegfw9GzduZOTIkWRlZTFnzhwOHDiAzWYjISGB22+/nUcfffSc+91vvfUW//rXv5gxYwb33HMPPXr08Dy2ZMkSMjIy+Mc//sGtt97K9u3bOXz4MNu2bWs0affS8njF20uzcnLY/PDhwyxevJhJkyYRGhpKbm4u8+bNIzY29pTaby+ty5dffsm9997rmViBy9Zx+vTpjBgx4qJXzW7jlPLycurr6wkMDPSsyC/EOEWSJHbt2oXD4SAlJaXJAlxdXc3kyZPp3r07ixcvbpGwflvm/fff58knn2TJkiVcddVVZ1ylHzhwgCVLlvDrr7+yatUqHn/8cV555RWPCZKXlscr3l6alZPF+9ixY9x2223s2bMHk8lEXFwc06dP55lnnvGWi7UhvvrqK+677z6WLl3Kddddh9PpZMuWLSxdupQVK1ZgtVqZPHkyaWlpjBo16qJXzTabzdNvvba2Fn9/f4+QN6UbmCRJ5ObmYrPZSElJabIA19bWMnXqVOLi4liyZEmr+Z+3FfLz87npppt4+umnueGGGzzHzWYzubm5KBQKBg8e7Dnu3s/+y1/+wueff86ePXu83+NWxCvelyEnW/Z58XI27HY7V111Fa+99hrjx48/5XFRFNm6davHyrS+vp6JEyeSlpbG2LFjL7rkz263U1lZSUVFRZOMUyRJYvfu3VgsFgYMGNBk4a6vryc1NZWwsDCWL19+XqVTlysHDhwgNTWVRYsWeRwG//nPf7J+/Xq+/fZboqKiGDZsGEuWLAEaJ6MlJSXxxBNPcM8997Ta+K90vPGOy5ArSbjdDTVO/peUlOR53Gq18sADDxAaGoqfnx8zZsygvLy8FUfcttBoNGRkZJxWuMH1WRoxYgTvvvsuhYWFrF27ltjYWP7yl7/QqVMnbr/9dpYuXYrRaLzg1+/QoQPJyclce+21ZzVOkSSJPXv2YDabz0u4DQYDM2bMIDAwkGXLlnmF+wQ2m43S0lK2bt1KZmYm06dPZ9GiRcTGxrJu3Tpeeukltm7dyqeffgrgEW5ZlnE6nW22Uc+VgnflfZlgt9tZvnw599xzDy+99BIPP/xwaw+pRXjhhRdYunQp69ev9xxTqVSEhYUBLkvUVatW8dlnnxEYGMjcuXNRKBRs3bq1tYZ8WSBJEtnZ2R5P8mPHjjF27FhSU1OZNGkSAQEBzWKcUl5eTlVVFRqNBkEQkGWZQYMGNVmATSYTM2bMQKFQsGrVqmbzM79ceOedd3jssceIiYkhIiKCN998k5SUFIKCgigqKmLkyJH8+c9/5o9//KPnd1auXMldd91FcXHxBeUreGkevOLdznGXe3z66ads3ryZ/fv3ExYWxurVq68IQ4AXXniBFStWkJOTc8pj9fX1hIeHs3jxYs+e3oEDB+jRowfbt2/3hAq9XByyLLNnzx6WLFnC8uXLOXjwoMeTfMqUKR5zkwvF6XSSk5ODwWAA8BinREZGEhQUdMZzWywWbrzxRux2O2vWrMHf3/+Cx3A5c/DgQex2+ynVIcXFxVx//fXMnz+fGTNmNHrMZrN5IxitjDds3s4RBIH9+/fzyiuvMH78eKZOnXrG+ml36PFy49ChQ8TExNC5c2duvfVWioqKAFcdusPhYOzYsZ7nJiUl0bFjR7Zv395aw73sEASBPn368OKLL5Kbm0tOTg5Dhw7lo48+onPnzqSmpvLpp59ekCe5LMvk5eVhs9kYOnQo1157LT179vRkm2/ZsoX9+/dTXV3d6LNttVq55ZZbMJvNrFq1yivcZ6Fbt26nCHdZWRm33HILISEhpwg34BXuNoB35d3Oqaio4J577sHf35/FixeTnp7Op59+ytdff33WG5b7z97eV+Zr1qzBaDTSvXt3SktL+etf/8rx48fZs2cP3377LXfddRc2m63R7wwePJhRo0bx2muvtdKorwxkWebw4cOkp6ezbNkysrKyGDp0KKmpqU3yJJdlmf3791NbW8uAAQNOyXKXJIm6ujpPCdp///tfTCYTU6dOJT09naqqKtatW3fG8icvp1JeXs7ixYtZs2YNNpvNU9LpTYJte3hX3u0Ym83GX/7yF5RKpSepRJIkDhw4gL+/f6NVTkZGBq+88orny+hO7mrvuA0l+vbty4QJE1i9ejV1dXX873//a+2hXfEIgkCXLl2YP38+v/zyC/n5+aSmprJs2TJ69OjB+PHj+ec//0lRUdEpK3JJkti7dy81NTWnFW5wJVCFhISQlJTEiBEjuP322/Hz8+PBBx9k3bp1JCQksGnTJiwWS0tdcrsnLy+PNWvW0Lt3b8+9wul0eoW7DeIV73bMggULWLJkCQcPHvR80fR6Pf3796empgZBELBYLLz++uuMHTuW9PR0Zs6cyaxZs9izZ89pk7YkSUIUxZa+lGbDbZyRn59PVFQUdrudurq6Rs8pLy8nKiqqdQZ4heL2JH/00Uf56aefKCws5Oabb2bNmjX06dOHUaNG8c4773DkyBFEUeTee+/l1VdfPaNwn+78w4cPx+l0kpiYyOrVq0lMTOTJJ58kPDycm266iYaGhma9pi1btjB16lRiYmIQBIEVK1Y0elyWZZ577jmio6PR6/WMHTuWQ4cONXpOTU0Nt956KwEBAQQFBXHPPfdccOZ+czBixAgWL17M22+/DbhW3G2hA52X0yB7aZesX79e9vf3l1966SX5nnvukaOiomSdTifHx8fLPXv2lAsKCmRZluV///vfclJSkvzGG2/ITqdTrqmpke+77z45MDBQTkpKOutriKLYAlfSvBgMBjk4OFh+99135bq6OlmtVstLly71PH7gwAEZkLdv396Ko/TiRpIkubS0VH7//fflsWPHyiqVSg4NDZV9fX3lZcuWyUajUTaZTOf819DQIN96661y9+7d5dLS0kbn37Vrl/z666/LkiQ169hXr14t/+Uvf5GXLVsmA/Ly5csbPf7qq6/KgYGB8ooVK+Rdu3bJ06ZNkxMSEmSLxeJ5znXXXSf369dP/uWXX+SffvpJ7tKlizxz5sxmHeeF0tzvl5fmxSve7ZBdu3bJcXFx8p133uk5VltbK//yyy/y7bffLkdHR8uyLMsOh0NOTU2Vb7vtNtnhcHie++6778qCIMifffaZ51hubq78z3/+U541a5acnp7uOd7Wv8CPPfaYvGnTJrmgoEDeunWrPHbsWDksLEyuqKiQZVmW//SnP8kdO3aUN2zYIGdkZMhDhgyRhwwZ0sqj9nI6RFGU586dKwcHB8sjRoyQNRqN3KtXL/npp5+Wd+7ceUYhNxgM8p133il36dJFLi4ubpWx/168JUmSo6Ki5DfeeMNzrK6uTtZqtfJXX30ly7Is79u3TwbknTt3ep6zZs0aWRAE+fjx4y02di/tE2/YvB2i1+t54IEHeO655wBXqDswMJCrrrqKqVOnEhsby7Fjx8jLy6OyspK+ffuiUqmQXZM1T3nNhAkTAFi9ejXTpk1j8+bNCILA/PnzmTJlCqWlpefcFzebzXz00UdUV1df8us+HcXFxcycOZPu3btz0003ERoayi+//OKxTHznnXeYMmUKM2bMYMSIEURFRXm9xNsgsizz7LPPkp6ezo4dO9i0aRPl5eU8+eST7N27lxEjRpCSksILL7xATk6OJ7NckiQee+wxNm3axPr16+nQoUMrX4mLgoICysrKGlU6uL+j7kqH7du3ExQUxMCBAz3PGTt2LAqFgh07drT4mL20L7ybGe2Qrl27Mn/+fM/PJxsDREdHc/z4cerq6oiLi6OiooKOHTsCrn1Bs9nMpk2b6Nu3L1FRURw+fJjnn3+e6dOne/a5TCYTw4cPZ8mSJTz00EOnvL67TWJpaSkLFixgz549jBgxgtDQ0Et85afy9ddfn/VxnU7Hv//9b/7973+30Ii8XAhuE5uNGzfStWtXwJW/cMcdd3DHHXd4PMnT09MZP348ERERTJ06ldLSUn755Rc2btxIfHx8K1/Fb7gtOyMjIxsdj4yM9DxWVlZ2iu2qSqUiJCTE8xwvXs6Ed+XdDpEk6Yz1su6bhU6nIzAwEEEQGs3iN2zYwLJly7jlllsASE9P5/Dhw3z00Uf06dOHp59+mqqqKm6//XbS09NP+xru1fj8+fMpLy/nvffeIykpCUmScDqdzXmp7YJztWgdOXLkKY//6U9/asURtz26dOlCXl4e3bt3P+3jbk/yJUuWUF5ezhtvvMHhw4dZvnw533//vdcb3ssVh3fl3Q45mwVf165dOX78OJIkIQgCr7zyCvfeey+FhYX079+f999/n4aGBmbOnAlAdnY2o0aN4vnnnycjI4PFixfz0UcfUVNTw/XXXw+cWuMpCAJr167l66+/Ztu2bZ4GDwqF4oq1B+zVq9cpLVpP5r777uPFF1/0/Hyxhh6XI011+fL19WXGjBnMmDGjzXb6clczlJeXEx0d7TleXl5O//79Pc+pqKho9HtOp5OamhpvNYSXc+IV78sMURQ9IlpeXs6MGTOIj48nPT0dPz8/hg4dyvHjx4mNjUWWZVJSUvjvf/9L37596du3L3fffTdlZWWsX7/es3p0C7d8ot1qQUEBb775JjfccINnv+7o0aO8++67zJw5k0GDBjUak3sicTnUlZ8JlUp11huuj4+P94Z8CWiLwg2QkJBAVFQUP/74o0esGxoa2LFjB7NnzwZgyJAh1NXVkZmZyYABAwBXZEySJK666qrWGrqXdsKVuUy6jFEqlR6R/Pe//83q1asZOHAgr7zyCrGxsWRlZXHrrbcCrhX0oEGDMBqNfPnll55zREVFcdtttzVKpHE/H+CXX37hyJEjzJkzB3CtFiIiIli/fj3ff/+95xj8Npk4WbjdiXOXE2dq0ermyy+/JCwsjN69e/PUU09hNptbaaRemguj0UhOTo6nr35BQQE5OTkUFRUhCAKPPPIIf/vb31i5ciW7d+/mjjvuICYmhrS0NAB69OjBddddx3333cevv/7K1q1bmTt3LjfffDMxMTGtd2Fe2getl+ju5VJisVjkBQsWyKGhoXK3bt3kGTNmyEFBQfLNN98sm83mRs99/fXX5fDwcHn06NHyO++8Iz///PPyzz//fMbzzp8/Xx4wYIDnmLucrFu3bvInn3zS6Nidd94p33vvvXJlZeUp55IkqV3Wkv+e1atXy//73//kXbt2yd9//708ZMgQuWPHjnJDQ4Msy7L84Ycfyt9//72cm5srf/HFF3KHDh3k6dOnt/KovVwsGzdulIFT/s2aNUuWZdfn+9lnn5UjIyNlrVYrjxkzRs7Ly2t0jurqannmzJmyn5+fHBAQIN91112ywWBohavx0t7w9ja/zLFYLJ4ubFdffTVjxow5rY1fQUEBCxcuZMeOHSQmJvLMM8+cdvZvtVq56aabCAkJ4bPPPsPpdKJSqTAajdx222306dOHBQsWAPCf//yHRx99lM8//5zU1FQEQSA7O5t9+/YxZMgQOnfufMmvvzWoq6sjPj6et99+m3vuueeUxzds2MCYMWPIz8/3Jlp58eLlgvDueV/m6PV67rjjjkbH5JOsQt1zt4SEBE9C1ZmSgCRJQqfTkZOTw1//+lfAlaQmSRJ+fn74+Phw/PhxAL799lv+/ve/8/DDD5OWlkZDQwOvvPIKy5YtIzw8nPvvv5+BAwfy8ccf06VLl1Ney+l0ttsEuJNbtJ4O936mV7y9ePFyobS/O6OXi+bk/Wd3Ipksy4iiiCzLZ0wCUigUmEwmAgMDPU1QTt7PrqioIDExkb179/Lss88ydOhQnn76aQDefvtt1qxZw3fffcfPP//MkSNH6NChA6+++mqj16isrARcCWDtUbjBtRd6+PDhRlnGJ+PeIz3T4168ePFyLtrn3dFLsyMIQqNktzOhVqsZOHAgeXl5wG+reKfTydVXX83evXuZO3cuMTExvP76657V+IoVK8jNzeW5555jyZIlREREcNNNN7Fv3z7Ky8sB2L17NzfddBN9+vRh7ty5ntc4GbkNJrs9/vjjbN68mcLCQrZt28b06dNRKpXMnDmTw4cPs2DBAjIzMyksLGTlypXccccdjBgxgr59+7b20L148dJO8Yq3l/NCo9FgNBo92eTuFbtKpSI0NJSvv/4ai8XCW2+95fFRLikpITc3l//973+Ehoby5z//mZCQEJ544gkqKys9ta4Oh4O5c+fy/PPPU1BQwF133cXu3bsbvf7JJWeiKHraZLYmZ2vRqtFoWL9+PePHjycpKYnHHnuMGTNm8O2337b2sL148dKO8SaseTlvMjIyaGhoYPTo0cBvTVxmzZrF+vXr+eCDD5g6darn+DfffMPs2bPJzs4mMjISu91OZmYm3333HZWVlXz00UcA2O12FAqFp8FJ3759mTp1Kn/7298QBIF169Zx+PBh0tLSTqmZdq/I22uo3YsXL17OB++dzst5M3DgQIYNGwaAwWDAbrezdOlSlixZwiuvvMKkSZOA35q79OnTB39/f09/cY1Gw5AhQ3jppZf46KOPcDgcfP7556SlpdG/f38mTJjAokWLuOaaaygpKcHhcACwefNmFixYwF//+ldSU1OZNm2apwe0IAge4T55RV5ZWcnixYuxWq0t9wa1EsePH+e2224jNDQUvV5Pnz59yMjI8DwuN8Ff2osXL+0Dr3h7uSDcSW1vvfUWvr6+vPzyyzzwwAPccccdjVqpAnTu3Jk///nPLF++nDlz5rBhwwZ++OEHj7vSypUreeONNwgJCeG1117zCPvHH3+Mn58fGo2Gqqoqdu3ahdlsxs/Pj3vvvZeIiAi0Wi1btmzh+eefZ9WqVYBr0uAWckmSWLRoET/++GMLvjstT21tLcOGDUOtVrNmzRr27dvXaOsC4PXXX+cf//gHH3zwATt27MDX15cJEyZcERMbL14uO1qhttzLZUZmZqack5Pj8Qw/U+OVVatWyZMmTZLj4+PlCRMmyJ9//rksyy5/8cTERI8HtyzL8uLFi+UuXbrI//vf/zy/26dPH/m5557zPMdut8sffvihHBgYKE+fPl3u0KGDHBcXJ7/22muyKIqeRjH9+/eX//vf/551bO2d+fPny8OHDz/j403xl/bixUv7wbvy9nLRpKSk0K9fP89e9Zn2nSdNmsSqVasoLCzk3//+N1OnTgVgwIABmM1mfvzxR2pqavj+++956623UKvVHj/kHTt24O/v72kt6Q6Np6enc/PNN7Ns2TKKi4t54YUXsFgsnhI2q9VKTEwMDQ0NZx1be2flypUMHDiQG2+8kYiICJKTk/nPf/7jebwp/tJevHhpP1yedzIvbRJRFBFFEYDExEQCAwMB6NevH3/84x+57777mDhxIh988AG7d+9m+PDhBAcHU11dzd69e+nYsSPJycmAKzSu1WoJCwtj3bp1rFy5ErPZzC233NLIbtNkMuHj40NhYSFAmyszay6OHDnC+++/T9euXVm7di2zZ8/moYceYtGiRUDT/KWvRDp16nSKXasgCDzwwAOA187VS9vF22HNS4vx+71wN35+frzwwgu88MILHDhwgNraWpxOp8dpaceOHZSXl3PjjTcCrn1s9wp60aJFPPvss3zwwQccPXqUBx98EJ1O1+g1f/31V8aNG3eJr651kSSJgQMH8vLLLwOQnJzMnj17+OCDD5g1a1Yrj67tsnPnTs+EEmDPnj2MGzfO81kDr52rl7aJV7y9tDrySbXibhvS7777znNTPXToELW1tZ62ogqFgsrKSpxOJ9HR0Tz++OP873//45lnnqGqqsrTuhXg2LFjFBcXM2LECIDL1pY0Ojqanj17NjrWo0cP0tPTgab5S1+JuDsFunn11VdJTEzk2muv9Rzz2rl6aYt4w+ZeWh1BEDz75YCnzMu9Un/44YdZs2ZNI4/jAwcO8Oabb5KRkUFoaCizZ89m5MiR7N27t9G5ly5dSkJCAgkJCS1wJa3HsGHDTulId/DgQeLj44HG/tJu3P7SQ4YMadGxtlXsdjtffPEFd999d6NJntfO1UtbxLvy9tLmOF1SWVxcXKOfo6OjOXz4MBMnTmTAgAF0796d5cuX85///MfjdHbgwAG+/PJL7r777jP2a79cmDdvHkOHDuXll1/mpptu4tdff+Wjjz7yNMA52V+6a9euJCQk8Oyzzzbyl77SWbFiBXV1ddx5552eY7fccgvx8fHExMSQm5vL/PnzycvLY9myZa03UC9e8HZY89LO2bdvH59//jl1dXVMmTKFSZMmIQgCdrudF154ge+++46tW7fi7+/f2kO95Hz33Xc89dRTHDp0iISEBB599FHuu+8+z+OyLPP888/z0UcfUVdXx/Dhw3nvvffo1q1bK4667TBhwgQ0Gs1ZW9d67Vy9tBW84u2lXSJJUqM+579n4cKFvPvuuzz99NPcdNNNjZLcvHj5PUePHqVz584sW7aM1NTUMz7PZDLh5+fH999/z4QJE1pwhF68NMZ7N/PSLnHXcbuT3U7mm2++4eOPP2bOnDncdNNNnud7aRnO1ab1zjvvPKX86rrrrmvFEbsmexEREUyePPmsz/PauXppK3j3vL20a9xWpm5EUcRisfDqq69yzTXXtOLIrkzcbVpHjRrFmjVrCA8P59ChQ43atAJcd911LFy40PNza+YkSJLEwoULmTVrVqPEycOHD7N48WImTZpEaGgoubm5zJs3z2vn6qVN4BVvL5cVSqWSm2++ubWHccXy2muvERcX10iYT5fpr9Vq20z51fr16ykqKuLuu+9udNxt5/r3v/8dk8lEXFwcM2bM4JlnnmmlkXrx8hvePW8vXrw0Gz179mTChAkUFxezefNmOnTowJw5cxolzt15552sWLECjUZDcHAwo0eP5m9/+xuhoaGtOHIvXtoXXvH24sVLs+Hubvfoo49y4403snPnTh5++OFGnd6+/vprfHx8SEhI4PDhwzz99NP4+fmxffv2M3bh8+LFS2O84u3Fi5dmQ6PRMHDgQLZt2+Y59tBDD7Fz584zGqAcOXKExMRE1q9fz5gxY1pqqF68tGu8KbhevHhpNs7UprWoqOiMv9O5c2fCwsLIz8+/1MPz4uWywSveXrx4aTbO1ab1dBQXF1NdXe0tv/Li5TzwircXL16ajXnz5vHLL7/w8ssvk5+fz+LFi/noo488FptGo5EnnniCX375hcLCQn788UdSU1Pp0qWLt+mJFy/ngXfP24sXL83K2dq0WiwW0tLSyM7Opq6ujpiYGMaPH8+CBQtO8Rr34sXLmfGKtxcvXrx48dLO8IbNvXjx4sWLl3aGV7y9ePHixYuXdoZXvL148eLFi5d2hle8vXjx4sWLl3aGV7y9ePHixYuXdoZXvL148eLFi5d2hle8vXjx4sWLl3aGV7y9ePHixYuXdoZXvL148eLFi5d2hle8vXjx4sWLl3aGV7y9ePHixYuXdsb/A1WAo5500jUtAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "from pandas.plotting import parallel_coordinates\n",
        "cols = ['age_years','BMI','ap_hi','cholesterol','Protein_Level','Ejection_Fraction','cardio']\n",
        "plt.figure(figsize=(12,6))\n",
        "parallel_coordinates(df[cols].sample(500), class_column='cardio', color=['#1f77b4','#d62728'], alpha=0.5)\n",
        "plt.title('Parallel Coordinates Plot (Multi-feature view)')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 498
        },
        "id": "eYtN9MdLzy1T",
        "outputId": "5dc3da58-1c30-444f-fd5f-5ff03dc966be"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "plt.savefig(\"feature_relationships_heatmap.png\", dpi=300, bbox_inches='tight')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "id": "PIIQn_ikz1RS",
        "outputId": "0c1cfcc0-380e-4327-af48-77f5e38c353c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 0 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.decomposition import PCA\n",
        "\n",
        "\n",
        "num_cols = [c for c in df.select_dtypes(include='number').columns if c not in ['id','cardio']]\n",
        "X_num = df[num_cols].copy()\n",
        "y = df['cardio']\n",
        "\n",
        "\n",
        "scaler = StandardScaler()\n",
        "X_scaled = scaler.fit_transform(X_num)\n",
        "\n",
        "print(\"Scaled shape:\", X_scaled.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "w9_c2hPT0ZNl",
        "outputId": "7b27eb3c-a193-462c-c0a3-812f616c2171"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Scaled shape: (70000, 25)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "pca_2d = PCA(n_components=2, random_state=42)\n",
        "X_pca_2d = pca_2d.fit_transform(X_scaled)\n",
        "\n",
        "pca_3d = PCA(n_components=3, random_state=42)\n",
        "X_pca_3d = pca_3d.fit_transform(X_scaled)\n",
        "\n",
        "print(\"Explained variance (2D):\", round(sum(pca_2d.explained_variance_ratio_)*100, 2), \"%\")\n",
        "\n",
        "plt.figure(figsize=(8,6))\n",
        "sns.scatterplot(x=X_pca_2d[:,0], y=X_pca_2d[:,1], hue=y, palette='coolwarm', alpha=0.6)\n",
        "plt.title(\"PCA (2D Projection of All Features)\")\n",
        "plt.xlabel(\"Principal Component 1\")\n",
        "plt.ylabel(\"Principal Component 2\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 581
        },
        "id": "LZZ-RO1p0axm",
        "outputId": "97373302-5135-4aa8-e812-745c16947d78"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Explained variance (2D): 31.85 %\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "pca_full = PCA().fit(X_scaled)\n",
        "plt.figure(figsize=(8,4))\n",
        "plt.plot(np.cumsum(pca_full.explained_variance_ratio_)*100, marker='o')\n",
        "plt.xlabel('Number of Components')\n",
        "plt.ylabel('Cumulative Explained Variance (%)')\n",
        "plt.title('PCA Explained Variance Curve')\n",
        "plt.grid(True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 410
        },
        "id": "K_6-6C660c2J",
        "outputId": "23534ccb-f744-45ac-d208-e99be362aa57"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 1 Axes>"
            ],
            "image/png": 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WW1i3bh2SkpJKHH/8+LHs+969e+Ps2bM4d+6c3HFl5kIDRVMZxGIx3n//fTx+/LjEnF9dXd0SI6jff//9a+0Upo5rGRAQgCdPnuCHH34ocaz4PEOHDoVEIsEXX3xRok5hYeErE/igoCAIgoDRo0fLzaEtFhUVhV9//RVA0R8jurq6JZa0q8hrHDZsGPLz8/Hrr78iNDS0xCcl/v7+sLCwwJIlS0pdSu7FnxsikseRXSKSY21tjX379qF3795o3ry53A5q0dHR2LFjB3x8fAAUTWGwtbVF+/btS23r7bffxoYNG3Do0CEMGjSo3PNGR0dj69atJcrd3d3h4+ODvLw8jB07Fh4eHli8eDGAojVRDx48iPHjx+Pq1atyC/R7eXnB399fbumx4ueUpX379rC2tsbYsWPx4YcfQiQSYcuWLUp/lP4qISEh6NixI5o0aYJJkyahbt26SElJQUREBB4+fIjLly8DAD755BNs2bIFPXv2xEcffSRbeszV1VVuLuurdOnSBbVr18b+/fthbGxcoi/69u2LLVu2wNLSEo0aNUJERAT++ecf2XJ0FaGOazlmzBhs3rwZM2fOxLlz59CpUyfk5OTgn3/+wZQpU9C/f3906dIF77//PpYuXYpLly7Bz88P+vr6uH37Nnbt2oXvvvuu3GX12rdvj5CQEEyZMgWenp5yO6idOHECBw4ckP2xZ2lpiSFDhuD777+HSCSCu7s7/vzzz3LnBZelZcuWqFevHj7//HPk5+fLTWEAiubkrlmzBqNHj0bLli0xfPhw1KxZEwkJCTh06BA6dOhQ6h8BRAQuPUb0piheGur8+fMK1U9MTBRmzJgh1K9fXzAyMhJMTEyEVq1aCYsXLxYyMjKElJQUQU9PTxg9enSZbeTm5gomJiZyy3297FVLj40dO1YQBEGYMWOGoKurK7cMlyAIwoULFwQ9PT1h8uTJsjIAQmBgoLB161bBw8NDMDQ0FFq0aFFiiajSlss6ffq00K5dO8HY2FhwcnISPvnkE+Hw4cMllpgqa+mxr776qsRrBCAEBQXJlcXFxQljxowRHBwcBH19faFWrVpC3759hd27d8vVu3LlitClSxfByMhIqFWrlvDFF18IP//8s0JLj73o448/FgAIQ4cOLXHs2bNnwvjx44UaNWoIZmZmgr+/v3Dz5k3B1dVVdv1fvF6l/Qy9zrXs0qWL0Lhx4xJtvnyNBaHoZ+rzzz8X3NzcBH19fcHBwUEYPHiwEBcXJ1dv/fr1QqtWrQRjY2PB3NxcaNKkifDJJ58IiYmJCl2vqKgoYeTIkYKTk5Ogr68vWFtbC927dxd+/fVXQSKRyOo9fvxYCAgIEExMTARra2vh/fffF2JiYkpdeszU1LTcc37++ecCAKFevXpl1jl+/Ljg7+8vWFpaCkZGRoK7u7swbtw4uWX2iEieSBBUPGRBRKRhIpEIgYGBHOkiIiLO2SUiIiIi7cVkl4iIiIi0FpNdIiIiItJaXI2BiLQOb0UgIqJiHNklIiIiIq3FZJeIiIiItBanMaBoz/HExESYm5uXudc5EREREWmOIAjIysqCk5MTdHQUH69lsgsgMTHxlXugExEREZHmPXjwALVr11a4PpNdAObm5gCKLp6FhYXazycWi3HkyBHZNpZU/bFPtRP7VfuwT7UT+1X7lNanmZmZcHZ2luVtimKyC8imLlhYWFRasmtiYgILCwu+KbUE+1Q7sV+1D/tUO7FftU95farslFPeoEZEREREWovJLhERERFpLSa7RERERKS1mOwSERERkdZisktEREREWovJLhERERFpLS49RkRE9IaTSAWci09DalYe7MyN0NbNBro6qtlRVJ1tF7cfGZ+GqCci2ManwaeeXbWKvTped3VfF1XTaLJ78uRJfPXVV4iKikJSUhL27duHAQMGyI4LgoCgoCBs2LAB6enp6NChA9asWQMPDw9ZnbS0NEybNg0HDx6Ejo4OAgIC8N1338HMzEwDr4iIiKh6CY1JQvDB60jKyJOVOVoaIahfI/T0cqyybZdsXxebb1+oprGrtv3q2ra6aHQaQ05ODpo1a4aQkJBSj69YsQKrV6/G2rVrERkZCVNTU/j7+yMv778LPGrUKFy7dg1hYWH4888/cfLkSbz33nuV9RKIiIiqrdCYJEzeGi2XuABAckYeJm+NRmhMUpVsW93tM/bKb1udNDqy26tXL/Tq1avUY4IgYNWqVZg3bx769+8PANi8eTPs7e3xxx9/YPjw4bhx4wZCQ0Nx/vx5tG7dGgDw/fffo3fv3vj666/h5ORUaa+FiIhIXdTxsbFEKiD44HUIpRwrLvt8XwysTAygIxJBEAQIAKSCABT9D0XfCv//L/6rIxEwd+/Vctueu/cqBAHQKeV1CKU98YVnS6UCPvsj5pXtS6VCqe2XR51tq7t9TbYtAhB88Dp6NHKoclMaquyc3fj4eCQnJ8PX11dWZmlpCW9vb0RERGD48OGIiIiAlZWVLNEFAF9fX+jo6CAyMhIDBw4ste38/Hzk5+fLHmdmZgIo2ppOLBar6RX9p/gclXEuqhzsU+3EftU+1bFPD19LwZd/3URy5n//bjlYGGJeb0/4N7ZXuJ2CQikS0nJx72ku7j7Jwbl7z0qM0L3saU4Bhq8/W+HYy/MsV4zJ26LV0nZx+1O2X6x2bau7fXW1LQBIyshDxJ1UeLvZvHZ7pb1XK/q+rbLJbnJyMgDA3l7+jWxvby87lpycDDs7O7njenp6sLGxkdUpzdKlSxEcHFyi/MiRIzAxMXnd0BUWFhZWaeeiysE+1U7sV+1TXfr08lMRfrlVPOPwv9Gy5Mw8TP3tEibUl6KZ7X9jbYIAZBQAqXkipD4v+u/j50DqcxGe5gMClB9xM9cXYKz7/whE8pGI/v9/ohfLREBuIZCW/+pz1TAUYKZf+jFROU/PFgOP817dfk2jstvXRNvqbr8qtH3k30g8vVHm0LzSXnyv5ubmVqiNKpvsqtPcuXMxc+ZM2ePMzEw4OzvDz88PFhYWaj+/WCxGWFgYevToAX39CrxTqMphn2on9qv2qU59KpEKWPrNSQD5pRwtSjr2PjCCkWNt3H/6HPFPc3DvaS5yCyRltmlqoAu3GqaoY2sCA10d7L2U+Mo41oxuo/RIXWR8Gt755cIr660apXzbyrT/7Uj1xV6RttXdflVo26+Tt8pGdl9+rxZ/Eq+sKpvsOjg4AABSUlLg6Pjf3X0pKSlo3ry5rE5qaqrc8woLC5GWliZ7fmkMDQ1haGhYolxfX79Sf/lV9vlI/din2on9qn3U0aeqnld7Ie6J3NSF0qQ/F+PH8Hi5Ml0dEVxsTOBWwxR1a5jCraYp6tYwQ92aprAzN4To/0OmEqmAiPg0JGfklToPUwTAwdKoQkt5+dSzg6OlkVraVnf7jL3y2y7Pi+/Vir5nq2yy6+bmBgcHBxw9elSW3GZmZiIyMhKTJ08GAPj4+CA9PR1RUVFo1aoVAODYsWOQSqXw9vbWVOhERPSGed3lmNJyCnArJQu3U7JwKyUbt1KyEPMoQ6Fz+9S1QVdPO7j9P6F1tjaBgd6rF1vS1REhqF8jTN4aDREgl8AUpypB/RpVKHFRZ9uMXfvaVjeNJrvZ2dm4c+eO7HF8fDwuXboEGxsbuLi4YPr06fjyyy/h4eEBNzc3zJ8/H05OTrK1eBs2bIiePXti0qRJWLt2LcRiMaZOnYrhw4dzJQYiIqoUxcsxvTzaVbwc05p3WsoS3oxcMW6lZv0/sc1GbHIWbqdm4Ul2QYXP/2H3+vBxt63Qc3t6OWLNOy1LJOoOKlg3VZ1tM3bta1udNJrsXrhwAV27dpU9Lp5HO3bsWGzatAmffPIJcnJy8N577yE9PR0dO3ZEaGgojIyMZM/Ztm0bpk6diu7du8s2lVi9enWlvxYiInrzKLJ816zfL2NLxH3cTs1GalbZ0xJqWxujvr05POzN0MDeHO41zfD+lgtIycwv92Pjtq85P7KnlyN6NHJQy45Y6mz7xfYj7qTiyL+R8OvkrbKP0Ssr9up23dV9XdRBo8nuW2+9BaHsxfQgEomwaNEiLFq0qMw6NjY22L59uzrCIyIiKldE3JNXLt+VUyDB6binssdOlkao72BelNjamaG+vTnq2ZnB1LDkP8kL325cKR8b6+qIKjw6rMm2i9v3drPB0xsCvFWcdFVG7NXxuqv7uqhalZ2zS0REpEoSqYDI+DREPRHBNj5N6RHArDwxbiZn4UZSJq4nZuL6//+riBFtnTGktTM87MxgbqT4TTbV9WNjoqqEyS4REWk9+RvIdLH59oUybyATBAGP0p/jRlIWridmFiW3SZlISKvYGp8A8HazWmjpYl2h51bHj42JqhImu0REpNVedQPZ3F6esDI1kI3Y3kjKRGZeYaltOVoaoZGjBRo6WqCRkwXq25vjnZ8ikZJZ/nJMrzuvtrp9bExUlTDZJSIiraXIDWRL/r5Z4piejgge9uZo6GiORo4WsgTX2tSgRN2Fb1fP5ZiI3hRMdomISCtJpAJ+O5fwyhvIAKCRowV83G2LRmwdLVDPzkyhtWoBzqslquqY7BIRkVYQBAG3UrJxJu4JzsQ9xdm7T5FVxnSEl73fpS76N69V4XNzXi1R1cVkl4iIqgxlttwVBAH3n+biTNxTnIl7grN3n5bYnMFYXwfPxdJXntfO3OiVdV6F82qJqiYmu0REVCUosuVuUsZzRMQ9xZm4p4iIe4pH6c/l2jDS10GbOjZo714D7d1t4elgjre+PoHkDPXeQEZEVReTXSIi0riyVkxIysjDB1uj0cmjBh49e467T3LkjuvritDCxRrt3W3R3r0GmjlbwlBPV65OUD/eQEb0JmOyS0REGlXeignF/r39BACgIwKa1Lb6f3Jri9auNjA20C3nmbyBjOhNx2SXiIg06tCVRIVWTJjtVx9j2teBhRI7kBUrvoEs4k4qjvwbCb9O3krvoEZE1ROTXSIiqlSFEikuPkjH0RupOHYzBbdSshV6nrONSYUS3WK6OiJ4u9ng6Q0B3lwpgeiNwWSXiIjULj23AOG3HuPYzVSciH2MjOdi2TEdESAtbw7D/6lixQQievMoleymp6dj3759+Pfff3H//n3k5uaiZs2aaNGiBfz9/dG+fXt1xUlERFWAokuDCYKAO6nZOHozFcdupCIq4RkkL2S0Vib6eKt+TXT1tEPHejXQ9/tTXDGBiNRCoWQ3MTERCxYswLZt2+Dk5IS2bduiefPmMDY2RlpaGo4fP46vv/4arq6uCAoKwrBhw9QdNxERVbJXLQ2WJ5YgMj4Nx26k4FhsKh6kyS8L1sDeHN0a2qGbpx1aOFtBT/e/Hcq4YgIRqYtCyW6LFi0wduxYREVFoVGjRqXWef78Of744w+sWrUKDx48wOzZs1UaKBERac6rlgZrVtsSt1OzkVsgkR0z0NNBe3dbdPe0Q1dPO9S2Nimzfa6YQETqolCye/36ddjalr8rjLGxMUaMGIERI0bg6dOnKgmOiIg0T5GlwS4/zAAA2FsYopunPbp52qFDPVuYGCg+W45b7hKROij0W+hVie7r1icioqrr7N2nCi0NtmSgF0a0dYFIVPHklFvuEpGqVXg1hqysLCxatAgnTpyARCJBhw4dEBQUhBo1aqgyPiIi0oCCQinOxD3B4WvJOHg5UaHnmBrqvVaiS0SkDhVOdidNmgRjY2MEBwdDLBZj/fr1GDVqFA4fPqzK+IiIqJLkFhQiPPYxQq8l49iNVGTlFyr1fC4NRkRVkcLJ7rfffovp06fL/mo/f/48bt26BV3dom0aGzRogHbt2qknSiIiUpiiy4MBRevfHr2RitBryTh56zHyC6WyY3bmhvBv7IAeDe3xyZ4rSMnk0mBEVP0onOzGxcXB29sb69atQ4sWLdCjRw/06dMHAwYMgFgsxpYtW+Dv76/OWImI6BVetTwYAKRm5uHw9RQcjknG2btPUfjC+rcuNibo6eUA/8YOaOFsBZ3/J8kL3+bSYERUPSmc7P7www84e/YsJkyYgK5du2Lp0qXYunUrwsLCIJFIMGTIEEydOlWdsRIRUTnKWh4s+f/Lgw1qWQv3nuTg4oN0CC9U8nQwh39jB/T0coCng3mp8265NBgRVVdKzdlt164dzp8/j+XLl8PHxwdfffUV9uzZo67YiIhIQeUtD1Zctjf6kayshYsVejYuGsGtU8NUoXNwaTAiqo50Xl1Fnp6eHj7//HMcPHgQq1atwuDBg5GcnKyO2AAUrfowffp0uLq6wtjYGO3bt8f58+dlxwVBwIIFC+Do6AhjY2P4+vri9u3baouHiKgqOhefptDyYOM71MHZud2xb0oHvN/FXeFEt1jx0mD9m9eCj7stE10iqvIUTnYvX76MNm3awNzcHB06dIBUKsXRo0fRp08ftG/fHmvWrFFLgO+++y7CwsKwZcsWXL16FX5+fvD19cWjR0UjFCtWrMDq1auxdu1aREZGwtTUFP7+/sjLe/UvfSIibSAIAk7feaxQ3ebOVnCw5KoJRPTmUDjZnTBhAjp16oTz589jyJAh+OCDDwAA48ePR2RkJE6fPg0fHx+VBvf8+XPs2bMHK1asQOfOnVGvXj0sXLgQ9erVw5o1ayAIAlatWoV58+ahf//+aNq0KTZv3ozExET88ccfKo2FiKiqScspwIaTd9H9m3D8cDxOoedweTAietMoPGf31q1b2LlzJ+rVqwcPDw+sWrVKdqxmzZrYunUrjhw5otLgCgsLIZFIYGQk/8vZ2NgYp06dQnx8PJKTk+Hr6ys7ZmlpCW9vb0RERGD48OGltpufn4/8/HzZ48zMTACAWCyGWCxW6WsoTfE5KuNcVDnYp9qpKvarIAi4cD8dv51/iL+vJUMsKZqRa2KgA0CE3AJJqc8rWh7MEC1qm1ep11PZqmKf0utjv2qf0vq0ov0rEgShvO3OZfr164ecnBwMHz4cx44dg66uLrZt21ahkyqjffv2MDAwwPbt22Fvb48dO3Zg7NixqFevHjZu3IgOHTogMTERjo7/3Qk8dOhQiEQi7Ny5s9Q2Fy5ciODg4BLl27dvh4mJidpeCxFRReUWAucfi3AmRQfJz/+bJ1vbVEAHeyla1RBwM12EX24Vf2D34lzaol/zE+pL0cxWoV/5RERVTm5uLkaOHImMjAxYWFgo/DyFk91nz55h8eLFuHHjBpo1a4ZPP/1UqRNVVFxcHCZMmICTJ09CV1cXLVu2RP369REVFYWff/65QsluaSO7zs7OePLkSaW8JrFYjLCwMPTo0QP6+vpqPx+pH/tUO2m6XwVBwOWHGdhx/iH+iklGnrhowwdjfR30beqIEW1qo0ktS7nnHL6Wgi//uonkzP9+xzlaGuLzXp7wb2xfqfFXRZruU1IP9qv2Ka1PMzMzUaNGDaWTXYWnMVhbW+Prr79WPtrX5O7ujvDwcOTk5CAzMxOOjo4YNmwY6tatCwcHBwBASkqKXLKbkpKC5s2bl9mmoaEhDA0NS5Tr6+tX6pukss9H6sc+1U6q7tdX7XCWnV+IPy4+wrbIBNxIypSVezqYY6S3Cwa0qAULo9Lj6du8Nno1rcXlwV6B71XtxH7VPi/2aUX7VqFkNyEhAS4uLgo3+ujRI9SqVatCAZXF1NQUpqamePbsGQ4fPowVK1bAzc0NDg4OOHr0qCy5zczMRGRkJCZPnqzS8xMRqUJ5O5zVtjbBtsgE7L/0SDb31kCvaBR3lLcLWrpYl7rhw8uKlwcjIiIFk902bdpgwIABePfdd9GmTZtS62RkZOD333/Hd999h/feew8ffvihSgI8fPgwBEFAgwYNcOfOHXz88cfw9PTE+PHjIRKJMH36dHz55Zfw8PCAm5sb5s+fDycnJwwYMEAl5yciUpWydjhL+v8OZy9yr2mKkd6uCGhZC1YmBpUXJBGRllEo2b1+/ToWL16MHj16wMjICK1atYKTkxOMjIzw7NkzXL9+HdeuXUPLli2xYsUK9O7dW2UBZmRkYO7cuXj48CFsbGwQEBCAxYsXy4ayP/nkE+Tk5OC9995Deno6OnbsiNDQ0BIrOBARaVJ5O5y9qF9TR4xq5wpvNxuFRnGJiKh8CiW7tra2WLlyJRYvXoxDhw7h1KlTuH//Pp4/f44aNWpg1KhR8Pf3h5eXl8oDHDp0KIYOHVrmcZFIhEWLFmHRokUqPzcRkaoousPZSG9XtKvLKQhERKqi8A1qQNH6toMHD8bgwYPVFQ8RkdYplEgRGpOkUN3ULO7+SESkSkolu0REpLic/ELsPP8AP5+Kx6P05wo9hzucERGpFpNdIiIVS83Mw6Yz97D17H1k5hUCAGxM9FEgEZCTX1jqvN2iHc6KlgkjIiLVYbJLRKQit1OysP7kXey/lIgCSdEGEG41TPFuJzcEtKyNE7GpmLw1GiJALuEtvg0tqF8jrodLRKRiTHaJiF6DIAg4ezcN60/G4XjsY1l5a1drvNe5Lnwb2kPn/wlsTy9HrHmnZYl1dh3+v85uTy/HEu0TEdHrYbJLRFQKiVRAZHwaop6IYBufBp96dnKjroUSKf6KScaGk3dx9VEGAEAkAno2dsC7neqilat1qe329HJEj0YO3OGMiKiSVCjZ3bJlC9auXYv4+HhERETA1dUVq1atgpubG/r376/qGImIKpX8Lme62Hz7gmyXs04eNUvcdGakr4MhrZwxsaMb6tQwfWX73OGMiKjyKJ3srlmzBgsWLMD06dOxePFiSCRFW1paWVlh1apVTHaJqFp71S5nxvo6eC4umo9ra2qAMT51MNrHFTam3OWMiKgq0lH2Cd9//z02bNiAzz//HLq6urLy1q1b4+rVqyoNjoioMimyy9lzsRR1bE2weKAXTn/aDR/5ejDRJSKqwpQe2Y2Pj0eLFi1KlBsaGiInJ0clQRERaYKiu5wtGdgE7evVqISIiIjodSk9suvm5oZLly6VKA8NDUXDhg1VERMRkUYounvZ4+x8NUdCRESqovTI7syZMxEYGIi8vDwIgoBz585hx44dWLp0KX766Sd1xEhEpHaZeWIcvZGqUF3uckZEVH0oney+++67MDY2xrx585Cbm4uRI0fCyckJ3333HYYPH66OGImI1EYskWJ7ZAK+O3obaTkF5dblLmdERNVPhZYeGzVqFEaNGoXc3FxkZ2fDzs5O1XEREamVIAg4fC0Fy0NvIv5J0f0GdWuawr+RA9aGxxXVeaE+dzkjIqqeKnSDWmFhITw8PGBiYgITExMAwO3bt6Gvr486deqoOkYiIpWKTniGJYdu4ML9ZwCAGmYG+Mi3Poa3cYa+rg6aOVtylzMiIi2hdLI7btw4TJgwAR4eHnLlkZGR+Omnn3DixAlVxUZEpFL3n+ZgRWgsDl1NAlC0GcSkTnXxfhd3mBn+9+uweJeziDupOPJvJPw6eZfYQY2IiKoHpZPdixcvokOHDiXK27Vrh6lTp6okKCIiVXqWU4Dvj93BlrP3IJYIEImAwS1rY5ZfAzhYln6zma6OCN5uNnh6Q4A3t/MlIqq2lE52RSIRsrKySpRnZGTIdlMjIqoK8sQSbI64hx+O3UFmXiEAoJNHDczt1RCNnCw0HB0REVUGpZPdzp07Y+nSpdixY4dsBzWJRIKlS5eiY8eOKg+QiKg0EqmAc/FpSM3Kg5150QoJxaOvUqmAg1cSsSI0Fo/SnwMAPB3M8Vnvhuhcv6YmwyYiokqmdLK7fPlydO7cGQ0aNECnTp0AAP/++y8yMzNx7NgxlQdIRPSy0JikEjeQOf7/BjIrEwMs+esGrjzMAADYWxhill8DBLSszakIRERvIKWT3UaNGuHKlSv44YcfcPnyZRgbG2PMmDGYOnUqbGy49iQRqVdoTBImb42WWxYMAJIy8vDB1mjZY1MDXUx+yx0TO9aFsYFu5QZJRERVRoXW2XVycsKSJUtUHQsRUbkkUgHBB6+XSHRfNtLbGTN8G6CmuWGlxEVERFVXhZLd9PR0nDt3DqmpqZBKpXLHxowZo5LAiIhedi4+TW7qQln6Na3FRJeIiABUINk9ePAgRo0ahezsbFhYWEAk+m8OnEgkYrJLRGqTmvXqRFeZekREpP10lH3CrFmzMGHCBGRnZyM9PR3Pnj2TfaWlpak0OIlEgvnz58PNzQ3GxsZwd3fHF198AUH470NMQRCwYMECODo6wtjYGL6+vrh9+7ZK4yCiqsFAV7FfWXbmpa+dS0REbx6lk91Hjx7hww8/lG0TrE7Lly/HmjVr8MMPP+DGjRtYvnw5VqxYge+//15WZ8WKFVi9ejXWrl2LyMhImJqawt/fH3l5HNkh0haFEil+ORWP2bsul1tPhKJVGdq68WZZIiIqovQ0Bn9/f1y4cAF169ZVRzxyzpw5g/79+6NPnz4AgDp16mDHjh04d+4cgKJR3VWrVmHevHno378/AGDz5s2wt7fHH3/8geHDh5fabn5+PvLz82WPMzMzAQBisRhisVidL0l2nhf/S9Uf+1R9LiakY8HBG7iZXLSZjautMe4/fQ4RIHejWvGEqs97NYBUUgipCva4Yb9qH/apdmK/ap/S+rSi/at0stunTx98/PHHuH79Opo0aQJ9fX2542+//XaFAilN+/btsX79ety6dQv169fH5cuXcerUKaxcuRIAEB8fj+TkZPj6+sqeY2lpCW9vb0RERJSZ7C5duhTBwcElyo8cOVIpI9bFwsLCKu1cVDnYp6qTIwYOJuggIrXoAygTXQH9XKVoZ5eFq7Yi7L2ng/SC/+4ZsDQQMKiOFJL7UfjrvmpjYb9qH/apdmK/ap8X+zQ3N7dCbYiEFyfAKkBHp+yZDyKRSKVbBkulUnz22WdYsWIFdHV1IZFIsHjxYsydOxdA0chvhw4dkJiYCEdHR9nzhg4dCpFIhJ07d5babmkju87Oznjy5AksLNS/hahYLEZYWBh69OhR4o8Fqp7Yp6ojlQrYHf0IX4fdxrPcor/iA1o64WO/+rA1NZDVk0gFXLj/DKlZ+bAzN0RrV2uVbxrBftU+7FPtxH7VPqX1aWZmJmrUqIGMjAyl8jWlR3ZfXmpMnX7//Xds27YN27dvR+PGjXHp0iVMnz4dTk5OGDt2bIXbNTQ0hKFhyWWJ9PX1K/VNUtnnI/Vjn76ea4kZmPdHDC4mpAMo2uL3iwFeaFOn5BxcfQAd69tXSlzsV+3DPtVO7Fft82KfVrRvK7TObmX5+OOP8emnn8qmIzRp0gT379/H0qVLMXbsWDg4OAAAUlJS5EZ2U1JS0Lx5c02ETEQVkJUnxsqwW/j1zD1IhaLdz2b0qI+x7etAX8EVGIiIiEpToWQ3JycH4eHhSEhIQEFBgdyxDz/8UCWBAUVzM16eNqGrqysbXXZzc4ODgwOOHj0qS24zMzMRGRmJyZMnqywOIlIPQRBw4HIivjx0A4+ziqYW9WnqiPl9GsHBksuHERHR61M62b148SJ69+6N3Nxc5OTkwMbGBk+ePIGJiQns7OxUmuz269cPixcvhouLCxo3boyLFy9i5cqVmDBhAoCiOcLTp0/Hl19+CQ8PD7i5uWH+/PlwcnLCgAEDVBYHEanendRsLNgfgzNxTwEAbjVMsah/Y3TyqKnhyIiISJsonezOmDED/fr1w9q1a2FpaYmzZ89CX18f77zzDj766COVBvf9999j/vz5mDJlClJTU+Hk5IT3338fCxYskNX55JNPkJOTg/feew/p6eno2LEjQkNDYWTEUSEiTZNIBZyLT0NqVh7szIvWvy0olOKH47ex/uRdiCUCDPV0MLVrPbzXpS4M9XQ1HTIREWkZpZPdS5cuYd26ddDR0YGuri7y8/NRt25drFixAmPHjsWgQYNUFpy5uTlWrVqFVatWlVlHJBJh0aJFWLRokcrOS0SvLzQmCcEHryMp478NXqxN9CGCCGm5RdOfunnaIfjtxnC2qbwl/4iI6M2idLKrr68vm0drZ2eHhIQENGzYEJaWlnjw4IHKAySi6ic0JgmTt0bj5XUNi5cSszExwLKAJujRyB4ikWqXCyMiInqR0sluixYtcP78eXh4eKBLly5YsGABnjx5gi1btsDLy0sdMRJRNSKRCgg+eL1EovsiAz0ddG/IRJeIiNRP6TV9lixZIlvma/HixbC2tsbkyZPx+PFjrF+/XuUBElH1ci4+TW7qQmmSM/NwLj6tkiIiIqI3mdIju61bt5Z9b2dnh9DQUJUGRETVW3Jm+YlusdQsxeoRERG9Dq7WTkQqk/A0F+tOxClU186cK6YQEZH6KTSy27JlSxw9ehTW1tZo0aJFufPsoqOjVRYcEVUPgiDgt/MP8MWf15FbIIEIKHPOrgiAg2XRMmRERETqplCy279/fxgaGgIAN2sgIjmpmXmYs+cKjsc+BgC0rWODt5s7Yf4fMQDkk97iP5OD+jWCrg5vTiMiIvVTKNkNCgoCAEgkEnTt2hVNmzaFlZWVOuMiomrgzyuJmPdHDNJzxTDQ08HHfg0woaMbdHVEqGFmUGKdXQdLIwT1a4SeXo4ajJqIiN4kSt2gpqurCz8/P9y4cYPJLtEbLD23APP3X8PBy4kAAK9aFlg5tDnq25vL6vT0ckSPRg4ldlDjiC4REVUmpVdj8PLywt27d+Hm5qaOeIioijsem4o5u68gNSsfujoiBHath2nd6kFft+T9rro6Ivi422ogSiIioiJKJ7tffvklZs+ejS+++AKtWrWCqamp3HELCwuVBUdEVUdOfiEW/3UD2yMTAAB1a5pi5dDmaO5spdnAiIiIyqF0stu7d28AwNtvvy23KoMgCBCJRJBIJKqLjoiqhPP30jDr98tISMsFAIzvUAdzenrCSF9Xw5ERERGVT+lk9/jx4+qIg4iqoDyxBN+G3cL6f+9CEIBaVsb4anBTtK9XQ9OhERERKUTpZLdLly7qiIOIqpiYRxmY+fsl3ErJBgAMblUbC/o1goWRvoYjIyIiUpzSyW6x3NxcJCQkoKCgQK68adOmrx0UEVUOiVQosVqCIAhYcyIO3x29jUKpgBpmBlgysAn8GjtoOlwiIiKlKZ3sPn78GOPHj8fff/9d6nHO2SWqHkJjkkqsg1vTzACmhnq497Robq5/Y3ssGdgEtmaGmgqTiIjotZRcK+gVpk+fjvT0dERGRsLY2BihoaH49ddf4eHhgQMHDqgjRiJSsdCYJEzeGi2X6ALA4+wC3HuaCyM9Hawc2gxr32nFRJeIiKo1pUd2jx07hv3796N169bQ0dGBq6srevToAQsLCyxduhR9+vRRR5xEpCISqYDgg9fltvF9mYWxPvo3ryW34goREVF1pPTIbk5ODuzs7AAA1tbWePz4MQCgSZMmiI6OVm10RKRy5+LTSozoviw1Kx/n4tMqKSIiIiL1UTrZbdCgAWJjYwEAzZo1w7p16/Do0SOsXbsWjo7c756oqkvNKj/RVbYeERFRVab0NIaPPvoISUlJAICgoCD07NkT27Ztg4GBATZt2qTq+IhIxUwU3AjCztxIzZEQERGpn8LJ7uDBg/Huu+9i1KhRsnl8rVq1wv3793Hz5k24uLigRg0uNE9UlV1+kI6gA9fKrSMC4GBZtAwZERFRdafwNIZnz56hT58+cHFxwYIFC3D37l0AgImJCVq2bMlEl6gKEwQB2yMTMGRtBBIz8lDTzABAUWL7ouLHQf0aQVeHN6cREVH1p3Cye/ToUdy9excTJ07E1q1b4eHhgW7dumH79u3Iz89XW4B16tSBSCQq8RUYGAgAyMvLQ2BgIGxtbWFmZoaAgACkpKSoLR6i6uZ5gQSzd13BZ/uuokAihW9De/wz6y2sfaclHCzlpyo4WBphzTst0dOL8++JiEg7KHWDmqurKxYuXIi7d+8iLCwMTk5OmDRpEhwdHREYGIioqCiVB3j+/HkkJSXJvsLCwgAAQ4YMAQDMmDEDBw8exK5duxAeHo7ExEQMGjRI5XEQVUf3nuRg4I+nsSf6IXREwJyenlg/uhUsjfXR08sRp+Z0w45J7fDd8ObYMakdTs3pxkSXiIi0SoW3C+7WrRu6deuGrKwsbN++HZ999hnWrVuHwsJCVcaHmjVryj1etmwZ3N3d0aVLF2RkZODnn3/G9u3b0a1bNwDAxo0b0bBhQ5w9exbt2rVTaSxE1cmRa8mYtesysvIKUcPMAKtHtEB7d/npRro6Ivi422ooQiIiIvWrcLILAPHx8di0aRM2bdqEjIwM+Pr6qiquUhUUFGDr1q2YOXMmRCIRoqKiIBaL5c7r6ekJFxcXRERElJns5ufny029yMzMBACIxWKIxWK1vobi87z4X6r+qlKfFkqkWHU0Duv+jQcAtHSxwnfDmsLBwqhKxFedVKV+JdVgn2on9qv2Ka1PK9q/Sie7eXl52L17N3755RecPHkSzs7OmDhxIsaPHw9nZ+cKBaGoP/74A+np6Rg3bhwAIDk5GQYGBrCyspKrZ29vj+Tk5DLbWbp0KYKDg0uUHzlyBCYmJqoMuVzFUzJIe2i6TzMLgM23dXA7s2iGUhdHKfo7PkH0qWMajau603S/kuqxT7UT+1X7vNinubm5FWpD4WT33Llz+OWXX7Bz507k5eVh4MCBCA0NRffu3SttS9Gff/4ZvXr1gpOT02u1M3fuXMycOVP2ODMzE87OzvDz84OFhcXrhvlKYrEYYWFh6NGjB/T19dV+PlK/qtCn0QnpWPLbZaRk5cPEQBdLBjRGnyYOGolFW1SFfiXVYp9qJ/ar9imtT4s/iVeWwsluu3bt0KxZM3zxxRcYNWoUrK2tK3TCirp//z7++ecf7N27V1bm4OCAgoICpKeny43upqSkwMGh7H/kDQ0NYWhoWKJcX1+/Ut8klX0+Uj9N9KkgCNh05h4WH7qBQqkA95qmWDe6FerZmVdqHNqM71Xtwz7VTuxX7fNin1a0bxVOdi9cuICWLVtW6CSqsHHjRtjZ2aFPnz6yslatWkFfXx9Hjx5FQEAAACA2NhYJCQnw8fHRVKhElSYnvxBz9lzBn1eKdjXs29QRywKawszwtabjExERaQ2F/0XUZKIrlUqxceNGjB07Fnp6/4VsaWmJiRMnYubMmbCxsYGFhQWmTZsGHx8frsRAWu9OahY+2BqNO6nZ0NMR4fM+DTGufZ1Km1ZERERUHVSL4Z9//vkHCQkJmDBhQolj3377LXR0dBAQEID8/Hz4+/vjxx9/1ECUROohkQo4F5+G1Kw82JkXbeP7d0wSPtl9BbkFEthbGOLHUS3RypXb+xIREb2sWiS7fn5+EASh1GNGRkYICQlBSEhIJUdFpH6hMUkIPngdSRl5sjITA13kFkgAAD51bfH9yBaoYVZyDjoRERFVk2SX6E0UGpOEyVuj8fKfecWJrn9je4SMbAk9XaU2QiQiInqj8F9JoipIIhUQfPB6iUT3RVceZnB+LhER0SsoNLLbokULhf9RjY6Ofq2AiAg4F58mN3WhNEkZeTgXn8btfomIiMqhULI7YMAA2fd5eXn48ccf0ahRI9nyXmfPnsW1a9cwZcoUtQRJ9KZJzSo/0VW2HhER0ZtKoWQ3KChI9v27776LDz/8EF988UWJOg8ePFBtdERvKGN9XYXq2ZkbqTkSIiKi6k3pObu7du3CmDFjSpS/88472LNnj0qCInqTxSZnIfjgtXLriAA4WhYtQ0ZERERlUzrZNTY2xunTp0uUnz59GkZGHGUieh1h11Mw6MfTeJSeh5pmBgCKEtsXFT8O6tcIujq8QY2IiKg8Si89Nn36dEyePBnR0dFo27YtACAyMhK//PIL5s+fr/IAid4EgiBgbfhdrDh8E4IAtHe3RcjIloiMf1pinV0HSyME9WuEnl6OGoyYiIioelA62f30009Rt25dfPfdd9i6dSsAoGHDhti4cSOGDh2q8gCJtF2eWIK5e69i38VHAIB32rkgqF9j6OvqoKeXI3o0ciixgxpHdImIiBRToU0lhg4dysSWSAVSs/Lw3uYoXHqQDl0dERb2a4TRPnXk6ujqiLi8GBERUQVVKNlNT0/H7t27cffuXcyePRs2NjaIjo6Gvb09atWqpeoYibRSzKMMTNp8AUkZebA01seaUS3Rvl4NTYdFRESkVZROdq9cuQJfX19YWlri3r17ePfdd2FjY4O9e/ciISEBmzdvVkecRFrl0JUkzNp1CXliKdxrmuLnsW1Qp4appsMiIiLSOkqvxjBz5kyMGzcOt2/fllt9oXfv3jh58qRKgyPSNlKpgFX/3ELg9mjkiaXoUr8m9gV2YKJLRESkJkqP7J4/fx7r1q0rUV6rVi0kJyerJCgibfS8QILZuy7j0NUkAMC7Hd0wt3dD3mxGRESkRkonu4aGhsjMzCxRfuvWLdSsWVMlQRFpm8T055i0+QKuJWZCX1eExQObYGhrZ02HRUREpPWUnsbw9ttvY9GiRRCLxQAAkUiEhIQEzJkzBwEBASoPkKi6i054hrd/OI1riZmwNTXA9kntmOgSERFVEqWT3W+++QbZ2dmws7PD8+fP0aVLF9SrVw/m5uZYvHixOmIkqrb2Rj/E8PVn8SQ7H54O5vgjsAPa1OEWv0RERJVF6WkMlpaWCAsLw6lTp3DlyhVkZ2ejZcuW8PX1VUd8RFWeRCogMj4NUU9EsI1Pg089OwDAV4djsTY8DgDQo5E9Vg1rDlPDCq32R0RERBVU4X95O3bsiI4dO6oyFqJqJzQm6YXtfHWx+fYF2FsYwt7cEFceFc1tn9q1Hmb2qA8d3ohGRERU6SqU7B49ehRHjx5FamoqpFKp3LFffvlFJYERVXWhMUmYvDUawkvlKZn5SMnMh56OCN8MbYb+zbnRChERkaYonewGBwdj0aJFaN26NRwdHSEScbSK3jwSqYDgg9dLJLovsjLRR9+mTpUWExEREZWkdLK7du1abNq0CaNHj1ZHPETVwrn4tP9PXSjbk+wCnItPg4+7bSVFRURERC9TejWGgoICtG/fXh2xEFUbqVnlJ7rK1iMiIiL1UDrZfffdd7F9+3Z1xEJUbdiZG726khL1iIiISD2UnsaQl5eH9evX459//kHTpk2hr68vd3zlypUqCw4AHj16hDlz5uDvv/9Gbm4u6tWrh40bN6J169YAAEEQEBQUhA0bNiA9PR0dOnTAmjVr4OHhodI4iF7UtLYlDPV0kF8oLfW4CICDpRHaunFNXSIiIk1SOtm9cuUKmjdvDgCIiYmRO6bqm9WePXuGDh06oGvXrvj7779Rs2ZN3L59G9bW1rI6K1aswOrVq/Hrr7/Czc0N8+fPh7+/P65fvw4jI46qkepl5Irx7ubz5Sa6ABDUrxF0udwYERGRRimd7B4/flwdcZRq+fLlcHZ2xsaNG2Vlbm5usu8FQcCqVaswb9489O/fHwCwefNm2Nvb448//sDw4cMrLVZ6MySmP8e4jedwKyUb5kZ6mNSpLnacS5C7Wc3B0ghB/Rqhp5ejBiMlIiIi4DU2lagMBw4cgL+/P4YMGYLw8HDUqlULU6ZMwaRJkwAA8fHxSE5Oltu9zdLSEt7e3oiIiCgz2c3Pz0d+fr7scWZm0eL/YrEYYrFYja8IsvO8+F+qHm6nZmPCr1FIzsyHvbkhfh7TEg0czPFeR1ecjXuMYxFR6ObTCu3ca0JXR8T+1QJ8r2of9ql2Yr9qn9L6tKL9KxIEobylQgEAgwYNwqZNm2BhYYFBgwaVW3fv3r0VCqQ0xdMQZs6ciSFDhuD8+fP46KOPsHbtWowdOxZnzpxBhw4dkJiYCEfH/0bRhg4dCpFIhJ07d5ba7sKFCxEcHFyifPv27TAxMVFZ/KQ97mYCG27qIlcigr2xgA8aSmBjqOmoiIiI3hy5ubkYOXIkMjIyYGFhofDzFBrZtbS0lM3HtbS0rFiEFSCVStG6dWssWbIEANCiRQvExMTIkt2Kmjt3LmbOnCl7nJmZCWdnZ/j5+Sl18SpKLBYjLCwMPXr0KHGDH1U9YddTsXbXFeRLpGjhbIl177SAtYmBXB32qXZiv2of9ql2Yr9qn9L6tPiTeGUplOy+OGf2xe/VzdHREY0aNZIra9iwIfbs2QMAcHBwAACkpKTIjeympKTIbqIrjaGhIQwNSw7L6evrV+qbpLLPR8rbFnkf8/+IgVQAfBva4fsRLWFsoFtmffapdmK/ah/2qXZiv2qfF/u0on2r9Dq7lalDhw6IjY2VK7t16xZcXV0BFN2s5uDggKNHj8qOZ2ZmIjIyEj4+PpUaK2kXQRDwbdgtfL6vKNEd1toZa99pVW6iS0RERFVPhW5Q2717N37//XckJCSgoKBA7lh0dLRKAgOAGTNmoH379liyZAmGDh2Kc+fOYf369Vi/fj2AoqXOpk+fji+//BIeHh6ypcecnJwwYMAAlcVBb5ZCiRTz98dgx7kHAIAPu9XDjB71Vb60HhEREamf0iO7q1evxvjx42Fvb4+LFy+ibdu2sLW1xd27d9GrVy+VBtemTRvs27cPO3bsgJeXF7744gusWrUKo0aNktX55JNPMG3aNLz33nto06YNsrOzERoayjV2qULyxBJ8sDUaO849gEgEfDHACzP9GjDRJSIiqqaUHtn98ccfsX79eowYMQKbNm3CJ598grp162LBggVIS0tTeYB9+/ZF3759yzwuEomwaNEiLFq0SOXnpjdLem4BJv56AVH3n8FATwerhzfnWrlERETVnNIjuwkJCWjfvj0AwNjYGFlZWQCA0aNHY8eOHaqNjqiSPEp/jsFrIxB1/xksjPSwdaI3E10iIiItoHSy6+DgIBvBdXFxwdmzZwEUbfCgwJK9RFVObHIWAn48gzup2XCwMMKuD9qjrZuNpsMiIiIiFVA62e3WrRsOHDgAABg/fjxmzJiBHj16YNiwYRg4cKDKAyRSp8i7TzF47RkkZ+ahnp0Z9k5pjwYO5poOi4iIiFRE6Tm769evh1QqBQAEBgbC1tYWZ86cwdtvv433339f5QESqYJEKuBcfBpSs/JgZ26Etm42OHItGR/tvISCQilau1rjp7GtYfXSZhFERERUvSmd7Oro6EBH578B4eHDh2P48OEqDYpIlUJjkhB88DqSMvJkZRZGesjMKwQA+Da0xw8jW8BIn2voEhERaRuFkt0rV64o3GDTpk0rHAyRqoXGJGHy1mi8PJu8ONHtWK8G1r7TEnq6VXp/FSIiIqoghZLd5s2bQyQSvfIGNJFIBIlEopLAiF6XRCog+OD1Eonui+IeZ3MNXSIiIi2mULIbHx+v7jiIVO5cfJrc1IXSJGXk4Vx8GnzcbSspKiIiIqpMCiW7rq6u6o6DSOVSs8pPdJWtR0RERNWP0jeoAUBsbCy+//573LhxAwDQsGFDTJs2DQ0aNFBpcESvw85csS2jFa1HRERE1Y/Sd+Xs2bMHXl5eiIqKQrNmzdCsWTNER0fDy8sLe/bsUUeMRBXiaGkEXZ2y5+OK/l+HG0gQERFpL6VHdj/55BPMnTsXixYtkisPCgrCJ598goCAAJUFR1RRsclZGP1zJCTS0m9PK06Bg/o1KjchJiIioupN6ZHdpKQkjBkzpkT5O++8g6SkJJUERfQ6ou4/w9B1EUjNykd9ezMsG9QEjpbyUxUcLI2w5p2W6OnlqKEoiYiIqDIoPbL71ltv4d9//0W9evXkyk+dOoVOnTqpLDCiijh56zHe3xKF52IJWrhYYeO4NrAyMcCQ1s4ldlDjiC4REZH2UzrZffvttzFnzhxERUWhXbt2AICzZ89i165dCA4OxoEDB+TqElWWP68kYsbOSxBLBHTyqIF1o1vBxKDoR1xXR8TlxYiIiN5ASie7U6ZMAQD8+OOP+PHHH0s9BnCDCapc2yLvY94fMRAEoE9TR3w7tDkM9LgrGhER0ZtO6WRXKpWqIw6iChEEAT+eiMNXh2MBACO9XfBFfy9OUSAiIiIAFVxntyy5ubkwMTFRZZNEZRIEAYsP3cBPp4p2+Avs6o7Zfg24/S8RERHJKP05b/fu3fHo0aMS5ZGRkWjevLkqYiJ6pUKJFB/vviJLdOf1aYiP/T2Z6BIREZEcpZNdIyMjNG3aFDt37gRQNK1h4cKF6NSpE3r37q3yAIlelieWYPK2aOyOeghdHRG+GtwU73aqq+mwiIiIqApSehrDoUOHEBISggkTJmD//v24d+8e7t+/jz///BN+fn7qiJFIJitPjPc2RyHi7lMY6OnghxEt4NfYQdNhERERURVVoTm7gYGBePjwIZYvXw49PT2cOHEC7du3V3VsRHKeZudj3MbzuPooA2aGetgwpjWXEyMiIqJyKT2N4dmzZwgICMCaNWuwbt06DB06FH5+fiWWISNSpUfpzzFkXQSuPsqAjakBdkxqx0SXiIiIXknpkV0vLy+4ubnh4sWLcHNzw6RJk7Bz505MmTIFhw4dwqFDh9QRJ73B7qRmY/TPkUjKyIOTpRG2vOsN95pmmg6LiIiIqgGlR3Y/+OADnDx5Em5ubrKyYcOG4fLlyygoKFBpcAsXLoRIJJL78vT0lB3Py8tDYGAgbG1tYWZmhoCAAKSkpKg0BtKsKw/TMXRdBJIy8uBe0xS7J7dnoktEREQKU3pkd/78+aWW165dG2FhYa8d0MsaN26Mf/75R/ZYT++/kGfMmIFDhw5h165dsLS0xNSpUzFo0CCcPn1a5XGQekmkAs7FpyE1Kw925kZo62aDyPinmPTrBeQUSNC0tiU2jW8LG1MDTYdKRERE1YjCye6KFSswbdo0GBsbAwBOnz6N1q1bw9DQEACQlZWFOXPmqHzurp6eHhwcSt5tn5GRgZ9//hnbt29Ht27dAAAbN25Ew4YNcfbsWbRr106lcZD6hMYkIfjgdSRl5MnKrE30kZVXiEKpgPbutlg/pjXMDFW6BwoRERG9ARTOHubOnYtx48bJkt1evXrh0qVLqFu3aH3T3NxcrFu3TuXJ7u3bt+Hk5AQjIyP4+Phg6dKlcHFxQVRUFMRiMXx9fWV1PT094eLigoiIiHKT3fz8fOTn58seZ2ZmAgDEYjHEYrFK4y9N8Tkq41xV3eFrKZj222UIL5U/yy26Nk1rWWD9qOYw1BGq9PVin2on9qv2YZ9qJ/ar9imtTyvavwonu4IglPtYHby9vbFp0yY0aNAASUlJCA4ORqdOnRATE4Pk5GQYGBjAyspK7jn29vZITk4ut92lS5ciODi4RPmRI0cqdbtjdUz7qE6kAhAcrfv/RLe0nc8EJDzOQNiRw9CpJhujvel9qq3Yr9qHfaqd2K/a58U+zc3NrVAbVfpz4V69esm+b9q0Kby9veHq6orff/9dNsJcEXPnzsXMmTNljzMzM+Hs7Aw/Pz9YWFi8VsyKEIvFCAsLQ48ePaCvr6/281VVkfFpSD97oZwaIqQXADUbtYO3m02lxVUR7FPtxH7VPuxT7cR+1T6l9WnxJ/HKqtLJ7susrKxQv3593LlzBz169EBBQQHS09PlRndTUlJKneP7IkNDQ9lc4xfp6+tX6pukss9X1TzNLVS4XnW5Tm96n2or9qv2YZ9qJ/ar9nmxTyvat0oluz/99BPMzIqWfSosLMSmTZtQo0YNAEU3qKlbdnY24uLiMHr0aLRq1Qr6+vo4evQoAgICAACxsbFISEiAj4+P2mOh12dnbqTSekREREQvUzjZdXFxwYYNG2SPHRwcsGXLlhJ1VGn27Nno168fXF1dkZiYiKCgIOjq6mLEiBGwtLTExIkTMXPmTNjY2MDCwgLTpk2Dj48PV2KoJtq62aCmmSEeZ+eXelwEwMGyaBkyIiIioopQONm9d++eGsMo3cOHDzFixAg8ffoUNWvWRMeOHXH27FnUrFkTAPDtt99CR0cHAQEByM/Ph7+/P7ctrkay8wuhU8a2JsX3owX1awTd6nJ3GhEREVU5VXrO7m+//VbucSMjI4SEhCAkJKSSIiJVEUukmLo9GimZ+bAy1oeBng5Ss/4b4XWwNEJQv0bo6eWowSiJiIiouqvSyS5pJ0EQsPDANfx7+wmM9XWx9V1vNHS0KLGDGkd0iYiI6HUx2aVKt/H0PWyLTIBIBHw3vDm8alkCAHzcbTUcGREREWmbMmZMEqnHsZsp+PLQdQDA3F6e8Gtc/jJxRERERK+DyS5VmhtJmZi2/SKkAjC8jTMmdaqr6ZCIiIhIy1Uo2Y2Li8O8efMwYsQIpKamAgD+/vtvXLt2TaXBkfZIzcrDxE3nkVMgQXt3W3wxwAsiEefkEhERkXopneyGh4ejSZMmiIyMxN69e5GdnQ0AuHz5MoKCglQeIFV/eWIJJm2OQmJGHurWMMWaUa2gr8sPFYiIiEj9lM44Pv30U3z55ZcICwuDgYGBrLxbt244e/asSoOj6k8qFTBr12VcfpAOKxN9/DyuDSxNuJUjERERVQ6lk92rV69i4MCBJcrt7Ozw5MkTlQRF2mPVP7dw6EoS9HVFWPtOK7jVMNV0SERERPQGUTrZtbKyQlJSUonyixcvolatWioJirTDvosPsfrYHQDA4oFN0K4ulxYjIiKiyqV0sjt8+HDMmTMHycnJEIlEkEqlOH36NGbPno0xY8aoI0aqhs7fS8Oc3VcBAB90ccfQ1s4ajoiIiIjeREonu0uWLIGnpyecnZ2RnZ2NRo0aoXPnzmjfvj3mzZunjhipmkl4mov3t0ShQCKFf2N7fOLfQNMhERER0RtK6R3UDAwMsGHDBsyfPx8xMTHIzs5GixYt4OHhoY74qJrJeC7GhF/PIy2nAF61LPDtsObQ4ba/REREpCFKJ7unTp1Cx44d4eLiAhcXF3XERNVUoUSKqdujcSc1Gw4WRvh5bBuYGHBHaiIiItIcpacxdOvWDW5ubvjss89w/fp1dcRE1ZAgCFh48Br+vf0Exvq6+Glsa9hbGGk6LCIiInrDKZ3sJiYmYtasWQgPD4eXlxeaN2+Or776Cg8fPlRHfFRNbDpzD1vPJkAkAr4b3hxetSw1HRIRERGR8slujRo1MHXqVJw+fRpxcXEYMmQIfv31V9SpUwfdunVTR4xUxR27mYIv/iwa5Z/byxN+jR00HBERERFRkdfas9XNzQ2ffvopli1bhiZNmiA8PFxVcVE1cTM5E9O2X4RUAIa1dsakTnU1HRIRERGRTIWT3dOnT2PKlClwdHTEyJEj4eXlhUOHDqkyNqriUrPyMHHTBeQUSOBT1xZfDPCCSMSVF4iIiKjqUPpW+blz5+K3335DYmIievToge+++w79+/eHiYmJOuKjKkQiFXAuPg2pWXmwMtHHyiO38Cj9OerWMMWad1rCQO+1PiggIiIiUjmlk92TJ0/i448/xtChQ1GjRg11xERVUGhMEoIPXkdSRp5cuYmBLn4e1wZWJgYaioyIiIiobEonu6dPn1ZHHFSFhcYkYfLWaAilHMstkCA2ORNuNUwrPS4iIiKiV1Eo2T1w4AB69eoFfX19HDhwoNy6b7/9tkoCo6pBIhUQfPB6qYkuAIgABB+8jh6NHKDLndKIiIioilEo2R0wYACSk5NhZ2eHAQMGlFlPJBJBIpGoKjaqAs7Fp5WYuvAiAUBSRh7OxafBx9228gIjIiIiUoBCya5UKi31e9J+qVllJ7oVqUdERERUmZS+fX7z5s3Iz88vUV5QUIDNmzerJKiyLFu2DCKRCNOnT5eV5eXlITAwELa2tjAzM0NAQABSUlLUGsebxM5csS1/Fa1HREREVJmUTnbHjx+PjIyMEuVZWVkYP368SoIqzfnz57Fu3To0bdpUrnzGjBk4ePAgdu3ahfDwcCQmJmLQoEFqi+NN09bNBtYm+mUeFwFwtDRCWzebyguKiIiISEFKJ7uCIJS6ccDDhw9haWmpkqBelp2djVGjRmHDhg2wtraWlWdkZODnn3/GypUr0a1bN7Rq1QobN27EmTNncPbsWbXE8qZJzy1AobT029OKfwqC+jXizWlERERUJSm89FiLFi0gEokgEonQvXt36On991SJRIL4+Hj07NlTLUEGBgaiT58+8PX1xZdffikrj4qKglgshq+vr6zM09MTLi4uiIiIQLt27UptLz8/X24qRmZmJgBALBZDLBar5TW8qPgclXGu1yEIAj7ZfRlZeYVwtDCEFEBK5n/XzcHSEJ/38kT3BjWq/GtRt+rSp6Qc9qv2YZ9qJ/ar9imtTyvavwonu8WrMFy6dAn+/v4wMzOTHTMwMECdOnUQEBBQoSDK89tvvyE6Ohrnz58vcSw5ORkGBgawsrKSK7e3t0dycnKZbS5duhTBwcElyo8cOVKpO8GFhYVV2rkq4kyKCEfv6kJXJGB0nRw4mgBxmSJkigELfcDdIgeS+1H4676mI606qnqfUsWwX7UP+1Q7sV+1z4t9mpubW6E2FE52g4KCAAB16tTBsGHDYGSk/huSHjx4gI8++ghhYWEqPd/cuXMxc+ZM2ePMzEw4OzvDz88PFhYWKjtPWcRiMcLCwtCjRw/o65c9H1aT7j3NwachEQCk+Ni/ASZ2qKPpkKq06tCnpDz2q/Zhn2on9qv2Ka1Piz+JV5bSO6iNHTu2QieqiKioKKSmpqJly5ayMolEgpMnT+KHH37A4cOHUVBQgPT0dLnR3ZSUFDg4OJTZrqGhIQwNDUuU6+vrV+qbpLLPpyixRIrZu2PwXCyFT11bvNe5HnQ4J1chVbVP6fWwX7UP+1Q7sV+1z4t9WtG+VTrZlUgk+Pbbb/H7778jISEBBQUFcsfT0tIqFEhpunfvjqtXr8qVjR8/Hp6enpgzZw6cnZ2hr6+Po0ePyqZQxMbGIiEhAT4+PiqL403z/dHbuPwwAxZGevhmaDMmukRERFRtKZ3sBgcH46effsKsWbMwb948fP7557h37x7++OMPLFiwQKXBmZubw8vLS67M1NQUtra2svKJEydi5syZsLGxgYWFBaZNmwYfH58yb06j8kXdT8MPx+8AAJYMagInK2MNR0RERERUcUonu9u2bcOGDRvQp08fLFy4ECNGjIC7uzuaNm2Ks2fP4sMPP1RHnGX69ttvoaOjg4CAAOTn58Pf3x8//vhjpcagLbLyxJi+8xKkAjCoRS30beqk6ZCIiIiIXovSyW5ycjKaNGkCADAzM5NtMNG3b1/Mnz9ftdGV4sSJE3KPjYyMEBISgpCQELWfW9sFH7yOB2nPUcvKGAv7N9Z0OERERESvTelNJWrXro2kpCQAgLu7O44cOQKgaIez0m76ourhr6tJ2B31EDoi4NthzWFhxAn+REREVP0pnewOHDgQR48eBQBMmzYN8+fPh4eHB8aMGYMJEyaoPEBSv+SMPHy2r+hGwMlvuXPrXyIiItIaSk9jWLZsmez7YcOGyXYr8/DwQL9+/VQaHKmfVCpg9q7LSM8Vo0ktS3zUvb6mQyIiIiJSGaWT3Zf5+Phwma9qbOOZezh15wmM9HXw7bDmMNBTerCfiIiIqMpSKNk9cOCAwg2+/fbbFQ6GKtfN5EwsD70JAJjXpxHq2Zm94hlERERE1YtCye6AAQMUakwkEkEikbxOPFRJ8sQSTP/tEgoKpejmaYdR3i6aDomIiIhI5RRKdqVSqbrjoEr29eFY3EzOgq2pAZYHNIVIxF3SiIiISPtwguYb6PSdJ/jpVDwAYMXgpqhpziXjiIiISDspfYPaokWLyj2u6i2DSbXScwsw6/fLAIBR3i7o3tBewxERERERqY/Sye6+ffvkHovFYsTHx0NPTw/u7u5MdqswQRDw2b6rSM7MQ90apvi8T0NNh0RERESkVkonuxcvXixRlpmZiXHjxmHgwIEqCYrUY2/0I/x1NRl6OiKsGt4cJgavvfIcERERUZWmkjm7FhYWCA4Oxvz581XRHKnBg7RcBB24BgCY0aM+mta20mxARERERJVAZTeoZWRkICMjQ1XNkQoVSqSYsfMSsvML0aaONT7o4q7pkIiIiIgqhdKfY69evVrusSAISEpKwpYtW9CrVy+VBUaqszY8DhfuP4OZoR5WDm0OXR0uM0ZERERvBqWT3W+//VbusY6ODmrWrImxY8di7ty5KguMVOPyg3Ss+uc2AGBR/8ZwtjHRcERERERElUfpZDc+Pl4dcZAa5BYUYvrOSyiUCujT1BEDW9TSdEhERERElYq342sRiVTAufg0pGblwc7cCPsvP0L8kxw4WhphyYAm3CWNiIiI3jhKJ7t5eXn4/vvvcfz4caSmppbYSjg6OlplwZHiQmOSEHzwOpIy8koc+2ZIM1ia6GsgKiIiIiLNUjrZnThxIo4cOYLBgwejbdu2HC2sAkJjkjB5azSEMo5n5okrNR4iIiKiqkLpZPfPP//EX3/9hQ4dOqgjHlKSRCog+OD1MhNdEYDgg9fRo5EDV2EgIiKiN47S6+zWqlUL5ubm6oiFKuBcfFqpUxeKCQCSMvJwLj6t8oIiIiIiqiKUTna/+eYbzJkzB/fv31dHPKSk1KyyE92K1CMiIiLSJkpPY2jdujXy8vJQt25dmJiYQF9f/santDSOIFYmO3MjldYjIiIi0iZKJ7sjRozAo0ePsGTJEtjb2/MGNQ1r62YDR0ujMqcyiAA4WBqhrZtN5QZGREREVAUoneyeOXMGERERaNasmTrikbNmzRqsWbMG9+7dAwA0btwYCxYskG1LnJeXh1mzZuG3335Dfn4+/P398eOPP8Le3l7tsVUVujoiBPVrhA+2llzyrfjPkKB+jXhzGhEREb2RlJ6z6+npiefPn6sjlhJq166NZcuWISoqChcuXEC3bt3Qv39/XLt2DQAwY8YMHDx4ELt27UJ4eDgSExMxaNCgSomtKrGzKH2KgoOlEda80xI9vRwrOSIiIiKiqkHpkd1ly5Zh1qxZWLx4MZo0aVJizq6FhYXKguvXr5/c48WLF2PNmjU4e/YsateujZ9//hnbt29Ht27dAAAbN25Ew4YNcfbsWbRr105lcVRlgiBgyaEbAIDBLWshoJWzbAe1tm42HNElIiKiN5rSyW7Pnj0BAN27d5crFwQBIpEIEolENZG9RCKRYNeuXcjJyYGPjw+ioqIgFovh6+srq+Pp6QkXFxdERESUm+zm5+cjPz9f9jgzMxMAIBaLIRarfwOG4nOo4lyHr6Xgwv1nMNLXwUfd3eFgYQSg6A8OqaQQUvV0B71ElX1KVQf7VfuwT7UT+1X7lNanFe1fpZPd48ePV+hEFXX16lX4+PggLy8PZmZm2LdvHxo1aoRLly7BwMAAVlZWcvXt7e2RnJxcbptLly5FcHBwifIjR47AxMREleGXKyws7LWeXygFll7WBSBCZ7tCRJ86pprAqMJet0+pamK/ah/2qXZiv2qfF/s0Nze3Qm0onex26dKlQieqqAYNGuDSpUvIyMjA7t27MXbsWISHh79Wm3PnzsXMmTNljzMzM+Hs7Aw/Pz+VTsMoi1gsRlhYGHr06FFiGogyNp9NwJO8m7A1NcDy8R1hZqh0d5KKqKpPqWphv2of9ql2Yr9qn9L6tPiTeGUpnR2dPHmy3OOdO3euUCBlMTAwQL169QAArVq1wvnz5/Hdd99h2LBhKCgoQHp6utzobkpKChwcHMpt09DQEIaGhiXK9fX1K/VN8jrny3guxg/H4wAAM/3qw9rMWJWhUQVV9s8QVQ72q/Zhn2on9qv2ebFPK9q3Sie7b731VomyF9faVdec3WJSqRT5+flo1aoV9PX1cfToUQQEBAAAYmNjkZCQAB8fH7XGUBWsORGHZ7li1LMzw7DWzpoOh4iIiKhKUjrZffbsmdxjsViMixcvYv78+Vi8eLHKAgOKphv06tULLi4uyMrKwvbt23HixAkcPnwYlpaWmDhxImbOnAkbGxtYWFhg2rRp8PHx0fqVGB4+y8Uvp+MBAHN7eUJPV+kV5IiIiIjeCEonu5aWliXKevToAQMDA8ycORNRUVEqCQwAUlNTMWbMGCQlJcHS0hJNmzbF4cOH0aNHDwDAt99+Cx0dHQQEBMhtKqHtvj4ci4JCKdrVtUE3TztNh0NERERUZansjiZ7e3vExsaqqjkAwM8//1zucSMjI4SEhCAkJESl563Krj7MwB+XEgEAn/duxO2aiYiIiMqhdLJ75coVuceCICApKQnLli1D8+bNVRUXlUIQBCz+6zoAYGCLWmhSu+QoOxERERH9R+lkt3nz5hCJRBAEQa68Xbt2+OWXX1QWGJV09EYqzt5Ng4GeDmb51dd0OERERERVntLJbnx8vNxjHR0d1KxZE0ZGRioLikoqlEix9O+ibYEndHBDbevK2/yCiIiIqLpSOtl1dXVVRxz0Cr+df4C4xzmwNtHHlK7umg6HiIiIqFpQeM2qY8eOoVGjRqXuXpGRkYHGjRvj33//VWlwVCQ7vxCr/rkFAPiouwcsjLhgNhEREZEiFE52V61ahUmTJpW6na6lpSXef/99rFy5UqXBUZF14XF4kl0AtxqmGOnNkXUiIiIiRSmc7F6+fBk9e/Ys87ifn59K19ilIskZedjw710AwJyenjDQ4wYSRERERIpSOHNKSUkpd09iPT09PH78WCVB0X++ORKLPLEUrV2t4d/YXtPhEBEREVUrCie7tWrVQkxMTJnHr1y5AkdHR5UERUWuJ2Zid/RDAMDnfRpyAwkiIiIiJSmc7Pbu3Rvz589HXl5eiWPPnz9HUFAQ+vbtq9Lg3nRL/74BQQD6NHVECxdrTYdDREREVO0ovPTYvHnzsHfvXtSvXx9Tp05FgwYNAAA3b95ESEgIJBIJPv/8c7UF+qYJv/UY/95+An1dEeb4e2o6HCIiIqJqSeFk197eHmfOnMHkyZMxd+5c2Q5qIpEI/v7+CAkJgb0955SqgkQqYMmhog0kxvrUgYstN5AgIiIiqgilNpVwdXXFX3/9hWfPnuHOnTsQBAEeHh6wtuZH7Kq0O+oBYlOyYGGkh6nd6mk6HCIiIqJqS+kd1ADA2toabdq0UXUsBCC3oBDfHCnaQOLD7h6wMjHQcERERERE1RcXba1iNpyMR2pWPpxtjDHahxtIEBEREb0OJrtVSGpWHtadjAMAfOLvCUM9XQ1HRERERFS9MdmtQr4Nu43cAgmaO1uhb1OuWUxERET0upjsVhG3UrKw83wCAG4gQURERKQqTHariGV/34RUAPwb26NNHRtNh0NERESkFZjsVgGn7zzBsZup0NMRYU5PbiBBREREpCpMdjVMKhWw5K+iDSRGebugbk0zDUdEREREpD2Y7GrYH5ce4VpiJswN9fBhdw9Nh0NERESkVZjsalCeWIKvD8cCAKZ0rQdbM0MNR0RERESkXZjsatCvEQlIzMiDk6URxneoo+lwiIiIiLROlU52ly5dijZt2sDc3Bx2dnYYMGAAYmNj5erk5eUhMDAQtra2MDMzQ0BAAFJSUjQU8atJpAIi49NwOlmEH04UbSDxcc8GMNLnBhJEREREqlalk93w8HAEBgbi7NmzCAsLg1gshp+fH3JycmR1ZsyYgYMHD2LXrl0IDw9HYmIiBg0apMGoyxYak4SOy4/hnV8u4Pd4XeSJpdDTEcFQl4kuERERkTroaTqA8oSGhso93rRpE+zs7BAVFYXOnTsjIyMDP//8M7Zv345u3boBADZu3IiGDRvi7NmzaNeunSbCLlVoTBImb42G8FJ5oVRA4PZorNFpiZ5e3DWNiIiISJWqdLL7soyMDACAjU3RpgtRUVEQi8Xw9fWV1fH09ISLiwsiIiLKTHbz8/ORn58ve5yZmQkAEIvFEIvFKo9bIhWw8MC1Eonui4IPXsNbHrbQ1eHOadVR8c+NOn5+SHPYr9qHfaqd2K/ap7Q+rWj/VptkVyqVYvr06ejQoQO8vLwAAMnJyTAwMICVlZVcXXt7eyQnJ5fZ1tKlSxEcHFyi/MiRIzAxMVFp3ABwO0OE5MyypyoIAJIy8vHDzlB4WJaXElNVFxYWpukQSA3Yr9qHfaqd2K/a58U+zc3NrVAb1SbZDQwMRExMDE6dOvXabc2dOxczZ86UPc7MzISzszP8/PxgYWHx2u2/7OCVJOD61VfWq9u4OXo35VSG6kgsFiMsLAw9evSAvr6+psMhFWG/ah/2qXZiv2qf0vq0+JN4ZVWLZHfq1Kn4888/cfLkSdSuXVtW7uDggIKCAqSnp8uN7qakpMDBwaHM9gwNDWFoWHJNW319fbW8SRytTBWuxzdp9aaunyHSLPar9mGfaif2q/Z5sU8r2rdVejUGQRAwdepU7Nu3D8eOHYObm5vc8VatWkFfXx9Hjx6VlcXGxiIhIQE+Pj6VHW6Z2rrZwNHSCGXNxhUBcLQ0Qls3m8oMi4iIiEjrVemR3cDAQGzfvh379++Hubm5bB6upaUljI2NYWlpiYkTJ2LmzJmwsbGBhYUFpk2bBh8fnyq1EoOujghB/Rph8tZoiAC5G9WKE+Cgfo14cxoRERGRilXpkd01a9YgIyMDb731FhwdHWVfO3fulNX59ttv0bdvXwQEBKBz585wcHDA3r17NRh16Xp6OWLNOy3hYGkkV+5gaYQ173DZMSIiIiJ1qNIju4Lw6pUJjIyMEBISgpCQkEqI6PX09HJEj0YOiLiTiiP/RsKvkzd86tlxRJeIiIhITap0squNdHVE8HazwdMbArzdbJjoEhEREalRlZ7GQERERET0OpjsEhEREZHWYrJLRERERFqLyS4RERERaS0mu0RERESktZjsEhEREZHW4tJj+G8938zMzEo5n1gsRm5uLjIzM7mHt5Zgn2on9qv2YZ9qJ/ar9imtT4vzNEX2YXgRk10AWVlZAABnZ2cNR0JERERE5cnKyoKlpaXC9UWCsumxFpJKpUhMTIS5uTlEIvVv8pCZmQlnZ2c8ePAAFhYWaj8fqR/7VDuxX7UP+1Q7sV+1T2l9KggCsrKy4OTkBB0dxWficmQXgI6ODmrXrl3p57WwsOCbUsuwT7UT+1X7sE+1E/tV+7zcp8qM6BbjDWpEREREpLWY7BIRERGR1mKyqwGGhoYICgqCoaGhpkMhFWGfaif2q/Zhn2on9qv2UWWf8gY1IiIiItJaHNklIiIiIq3FZJeIiIiItBaTXSIiIiLSWkx2iYiIiEhrMdmtZCEhIahTpw6MjIzg7e2Nc+fOaTokeg0LFy6ESCSS+/L09NR0WKSEkydPol+/fnBycoJIJMIff/whd1wQBCxYsACOjo4wNjaGr68vbt++rZlgSWGv6tdx48aVeO/27NlTM8GSQpYuXYo2bdrA3NwcdnZ2GDBgAGJjY+Xq5OXlITAwELa2tjAzM0NAQABSUlI0FDG9iiJ9+tZbb5V4r37wwQdKnYfJbiXauXMnZs6ciaCgIERHR6NZs2bw9/dHamqqpkOj19C4cWMkJSXJvk6dOqXpkEgJOTk5aNasGUJCQko9vmLFCqxevRpr165FZGQkTE1N4e/vj7y8vEqOlJTxqn4FgJ49e8q9d3fs2FGJEZKywsPDERgYiLNnzyIsLAxisRh+fn7IycmR1ZkxYwYOHjyIXbt2ITw8HImJiRg0aJAGo6byKNKnADBp0iS59+qKFSuUO5FAlaZt27ZCYGCg7LFEIhGcnJyEpUuXajAqeh1BQUFCs2bNNB0GqQgAYd++fbLHUqlUcHBwEL766itZWXp6umBoaCjs2LFDAxFSRbzcr4IgCGPHjhX69++vkXhINVJTUwUAQnh4uCAIRe9NfX19YdeuXbI6N27cEAAIERERmgqTlPBynwqCIHTp0kX46KOPXqtdjuxWkoKCAkRFRcHX11dWpqOjA19fX0RERGgwMnpdt2/fhpOTE+rWrYtRo0YhISFB0yGRisTHxyM5OVnufWtpaQlvb2++b7XAiRMnYGdnhwYNGmDy5Ml4+vSppkMiJWRkZAAAbGxsAABRUVEQi8Vy71dPT0+4uLjw/VpNvNynxbZt24YaNWrAy8sLc+fORW5urlLt6qksQirXkydPIJFIYG9vL1dub2+Pmzdvaigqel3e3t7YtGkTGjRogKSkJAQHB6NTp06IiYmBubm5psOj15ScnAwApb5vi49R9dSzZ08MGjQIbm5uiIuLw2effYZevXohIiICurq6mg6PXkEqlWL69Ono0KEDvLy8ABS9Xw0MDGBlZSVXl+/X6qG0PgWAkSNHwtXVFU5OTrhy5QrmzJmD2NhY7N27V+G2mewSvYZevXrJvm/atCm8vb3h6uqK33//HRMnTtRgZERUnuHDh8u+b9KkCZo2bQp3d3ecOHEC3bt312BkpIjAwEDExMTwHgktUlafvvfee7LvmzRpAkdHR3Tv3h1xcXFwd3dXqG1OY6gkNWrUgK6ubom7QlNSUuDg4KChqEjVrKysUL9+fdy5c0fToZAKFL83+b7VfnXr1kWNGjX43q0Gpk6dij///BPHjx9H7dq1ZeUODg4oKChAenq6XH2+X6u+svq0NN7e3gCg1HuVyW4lMTAwQKtWrXD06FFZmVQqxdGjR+Hj46PByEiVsrOzERcXB0dHR02HQirg5uYGBwcHufdtZmYmIiMj+b7VMg8fPsTTp0/53q3CBEHA1KlTsW/fPhw7dgxubm5yx1u1agV9fX2592tsbCwSEhL4fq2iXtWnpbl06RIAKPVe5TSGSjRz5kyMHTsWrVu3Rtu2bbFq1Srk5ORg/Pjxmg6NKmj27Nno168fXF1dkZiYiKCgIOjq6mLEiBGaDo0UlJ2dLTdCEB8fj0uXLsHGxgYuLi6YPn06vvzyS3h4eMDNzQ3z58+Hk5MTBgwYoLmg6ZXK61cbGxsEBwcjICAADg4OiIuLwyeffIJ69erB399fg1FTeQIDA7F9+3bs378f5ubmsnm4lpaWMDY2hqWlJSZOnIiZM2fCxsYGFhYWmDZtGnx8fNCuXTsNR0+leVWfxsXFYfv27ejduzdsbW1x5coVzJgxA507d0bTpk0VP9FrreVASvv+++8FFxcXwcDAQGjbtq1w9uxZTYdEr2HYsGGCo6OjYGBgINSqVUsYNmyYcOfOHU2HRUo4fvy4AKDE19ixYwVBKFp+bP78+YK9vb1gaGgodO/eXYiNjdVs0PRK5fVrbm6u4OfnJ9SsWVPQ19cXXF1dhUmTJgnJycmaDpvKUVp/AhA2btwoq/P8+XNhypQpgrW1tWBiYiIMHDhQSEpK0lzQVK5X9WlCQoLQuXNnwcbGRjA0NBTq1asnfPzxx0JGRoZS5xH9/2RERERERFqHc3aJiIiISGsx2SUiIiIircVkl4iIiIi0FpNdIiIiItJaTHaJiIiISGsx2SUiIiIircVkl4iIiIi0FpNdIiIiItJaTHaJiF5y7949iEQi2R7sVcHNmzfRrl07GBkZoXnz5poOh4io2mCyS0RVzrhx4yASibBs2TK58j/++AMikUhDUWlWUFAQTE1NERsbi6NHj5ZZLzk5GdOmTUPdunVhaGgIZ2dn9OvXr9znvInGjRuHAQMGaDoMIqoETHaJqEoyMjLC8uXL8ezZM02HojIFBQUVfm5cXBw6duwIV1dX2Nrallrn3r17aNWqFY4dO4avvvoKV69eRWhoKLp27YrAwMAKn5uIqDpjsktEVZKvry8cHBywdOnSMussXLiwxEf6q1atQp06dWSPi0fwlixZAnt7e1hZWWHRokUoLCzExx9/DBsbG9SuXRsbN24s0f7NmzfRvn17GBkZwcvLC+Hh4XLHY2Ji0KtXL5iZmcHe3h6jR4/GkydPZMffeustTJ06FdOnT0eNGjXg7+9f6uuQSqVYtGgRateuDUNDQzRv3hyhoaGy4yKRCFFRUVi0aBFEIhEWLlxYajtTpkyBSCTCuXPnEBAQgPr166Nx48aYOXMmzp49K6uXkJCA/v37w8zMDBYWFhg6dChSUlJKXNdffvkFLi4uMDMzw5QpUyCRSLBixQo4ODjAzs4Oixcvlju/SCTCmjVr0KtXLxgbG6Nu3brYvXu3XJ2rV6+iW7duMDY2hq2tLd577z1kZ2eX6K+vv/4ajo6OsLW1RWBgIMRisaxOfn4+Zs+ejVq1asHU1BTe3t44ceKE7PimTZtgZWWFw4cPo2HDhjAzM0PPnj2RlJQke32//vor9u/fD5FIBJFIhBMnTqCgoABTp06Fo6MjjIyM4OrqWu7PHxFVD0x2iahK0tXVxZIlS/D999/j4cOHr9XWsWPHkJiYiJMnT2LlypUICgpC3759YW1tjcjISHzwwQd4//33S5zn448/xqxZs3Dx4kX4+PigX79+ePr0KQAgPT0d3bp1Q4sWLXDhwgWEhoYiJSUFQ4cOlWvj119/hYGBAU6fPo21a9eWGt93332Hb775Bl9//TWuXLkCf39/vP3227h9+zYAICkpCY0bN8asWbOQlJSE2bNnl2gjLS0NoaGhCAwMhKmpaYnjVlZWAIoS6/79+yMtLQ3h4eEICwvD3bt3MWzYMLn6cXFx+PvvvxEaGoodO3bg559/Rp8+ffDw4UOEh4dj+fLlmDdvHiIjI+WeN3/+fAQEBODy5csYNWoUhg8fjhs3bgAAcnJy4O/vD2tra5w/fx67du3CP//8g6lTp8q1cfz4ccTFxeH48eP49ddfsWnTJmzatEl2fOrUqYiIiMBvv/2GK1euYMiQIejZs6fsegFAbm4uvv76a2zZsgUnT55EQkKC7LrNnj0bQ4cOlSXASUlJaN++PVavXo0DBw7g999/R2xsLLZt2yb3hxMRVVMCEVEVM3bsWKF///6CIAhCu3bthAkTJgiCIAj79u0TXvy1FRQUJDRr1kzuud9++63g6uoq15arq6sgkUhkZQ0aNBA6deoke1xYWCiYmpoKO3bsEARBEOLj4wUAwrJly2R1xGKxULt2bWH58uWCIAjCF198Ifj5+cmd+8GDBwIAITY2VhAEQejSpYvQokWLV75eJycnYfHixXJlbdq0EaZMmSJ73KxZMyEoKKjMNiIjIwUAwt69e8s915EjRwRdXV0hISFBVnbt2jUBgHDu3DlBEIquq4mJiZCZmSmr4+/vL9SpU6fEdVy6dKnsMQDhgw8+kDuft7e3MHnyZEEQBGH9+vWCtbW1kJ2dLTt+6NAhQUdHR0hOThYE4b/+KiwslNUZMmSIMGzYMEEQBOH+/fuCrq6u8OjRI7nzdO/eXZg7d64gCIKwceNGAYBw584d2fGQkBDB3t5e9vjFn7Fi06ZNE7p16yZIpdIyrx8RVT8c2SWiKm358uX49ddfZaODFdG4cWPo6Pz3687e3h5NmjSRPdbV1YWtrS1SU1Plnufj4yP7Xk9PD61bt5bFcfnyZRw/fhxmZmayL09PTwBFo6LFWrVqVW5smZmZSExMRIcOHeTKO3TooNRrFgRBoXo3btyAs7MznJ2dZWWNGjWClZWV3Pnq1KkDc3Nz2WN7e3s0atSoxHUs75oVPy5u98aNG2jWrJncyHOHDh0glUoRGxsrK2vcuDF0dXVljx0dHWXnuXr1KiQSCerXry937cPDw+Wuu4mJCdzd3Uttoyzjxo3DpUuX0KBBA3z44Yc4cuRIufWJqHrQ03QARETl6dy5M/z9/TF37lyMGzdO7piOjk6JJO/FuZ3F9PX15R6LRKJSy6RSqcJxZWdno1+/fli+fHmJY46OjrLvS5tSoA4eHh4QiUS4efOmStpTxzV7nXMXnyc7Oxu6urqIioqSS4gBwMzMrNw2XvUHQcuWLREfH4+///4b//zzD4YOHQpfX98S846JqHrhyC4RVXnLli3DwYMHERERIVdes2ZNJCcnyyUxqlwb98WbugoLCxEVFYWGDRsCKEqMrl27hjp16qBevXpyX8okuBYWFnBycsLp06flyk+fPo1GjRop3I6NjQ38/f0REhKCnJycEsfT09MBAA0bNsSDBw/w4MED2bHr168jPT1dqfOV5cVrVvy4+Jo1bNgQly9flovv9OnT0NHRQYMGDRRqv0WLFpBIJEhNTS1x3R0cHBSO08DAABKJpES5hYUFhg0bhg0bNmDnzp3Ys2cP0tLSFG6XiKoeJrtEVOU1adIEo0aNwurVq+XK33rrLTx+/BgrVqxAXFwcQkJC8Pfff6vsvCEhIdi3bx9u3ryJwMBAPHv2DBMmTAAABAYGIi0tDSNGjMD58+cRFxeHw4cPY/z48aUmUeX5+OOPsXz5cuzcuROxsbH49NNPcenSJXz00UdKxyuRSNC2bVvs2bMHt2/fxo0bN7B69WrZ9AJfX1/Z9YyOjsa5c+cwZswYdOnSBa1bt1bqfKXZtWsXfvnlF9y6dQtBQUE4d+6c7Aa0UaNGwcjICGPHjkVMTAyOHz+OadOmYfTo0bC3t1eo/fr162PUqFEYM2YM9u7di/j4eJw7dw5Lly7FoUOHFI6zTp06uHLlCmJjY/HkyROIxWKsXLkSO3bswM2bN3Hr1i3s2rULDg4Ospv7iKh6YrJLRNXCokWLSnxk3rBhQ/z4448ICQlBs2bNcO7cuVJXKqioZcuWYdmyZWjWrBlOnTqFAwcOoEaNGgAgG42VSCTw8/NDkyZNMH36dFhZWcnNa1XEhx9+iJkzZ2LWrFlo0qQJQkNDceDAAXh4eCjVTt26dREdHY2uXbti1qxZ8PLyQo8ePXD06FGsWbMGQNHH+fv374e1tTU6d+4MX19f1K1bFzt37lTqXGUJDg7Gb7/9hqZNm2Lz5s3YsWOHbMTYxMQEhw8fRlpaGtq0aYPBgweje/fu+OGHH5Q6x8aNGzFmzBjMmjULDRo0wIABA3D+/Hm4uLgo3MakSZPQoEEDtG7dGjVr1sTp06dhbm6OFStWoHXr1mjTpg3u3buHv/76S+n+JKKqRSQoelcDERFROUQiEfbt28edyYioSuGfq0RERESktZjsEhEREZHW4tJjRESkEpwVR0RVEUd2iYiIiEhrMdklIiIiIq3FZJeIiIiItBaTXSIiIiLSWkx2iYiIiEhrMdklIiIiIq3FZJeIiIiItBaTXSIiIiLSWv8DiPqOt/pcf90AAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "from mpl_toolkits.mplot3d import Axes3D\n",
        "\n",
        "fig = plt.figure(figsize=(8,6))\n",
        "ax = fig.add_subplot(111, projection='3d')\n",
        "ax.scatter(X_pca_3d[:,0], X_pca_3d[:,1], X_pca_3d[:,2],\n",
        "           c=y, cmap='coolwarm', alpha=0.5)\n",
        "ax.set_xlabel('PC1')\n",
        "ax.set_ylabel('PC2')\n",
        "ax.set_zlabel('PC3')\n",
        "ax.set_title('PCA 3D Projection')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 521
        },
        "id": "PGTcuEKg0f0_",
        "outputId": "65f0d1fc-215d-4917-c067-960557965925"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "!pip install umap-learn > /dev/null\n",
        "import umap.umap_ as umap\n",
        "\n",
        "umap_2d = umap.UMAP(n_neighbors=30, min_dist=0.1)\n",
        "X_umap = umap_2d.fit_transform(X_scaled)\n",
        "\n",
        "plt.figure(figsize=(8,6))\n",
        "sns.scatterplot(x=X_umap[:,0], y=X_umap[:,1], hue=y, palette='coolwarm', alpha=0.6)\n",
        "plt.title(\"UMAP 2D Projection (Non-linear Clustering)\")\n",
        "plt.xlabel(\"UMAP Dimension 1\")\n",
        "plt.ylabel(\"UMAP Dimension 2\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "bYnOxYxI0jOO",
        "outputId": "2887fb41-0939-4e4e-f6da-d369798da64f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "from sklearn.manifold import TSNE\n",
        "\n",
        "tsne = TSNE(n_components=2, perplexity=50, learning_rate=200, random_state=42)\n",
        "X_tsne = tsne.fit_transform(X_scaled[:5000])  # use subset for speed\n",
        "\n",
        "plt.figure(figsize=(8,6))\n",
        "sns.scatterplot(x=X_tsne[:,0], y=X_tsne[:,1], hue=y[:5000], palette='coolwarm', alpha=0.6)\n",
        "plt.title(\"t-SNE Projection (2D)\")\n",
        "plt.xlabel(\"Dimension 1\")\n",
        "plt.ylabel(\"Dimension 2\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "jz0KQtGI2uOz",
        "outputId": "71ba4bf3-f3be-4da2-dff5-1fe34c3ee8b7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "loadings = pd.DataFrame(pca_2d.components_.T, columns=['PC1','PC2'], index=num_cols)\n",
        "plt.figure(figsize=(8,6))\n",
        "sns.heatmap(loadings, cmap='coolwarm', center=0)\n",
        "plt.title('Feature Contributions to First Two Principal Components')\n",
        "plt.show()\n",
        "\n",
        "\n",
        "top_pc1 = loadings['PC1'].abs().sort_values(ascending=False).head(10)\n",
        "top_pc2 = loadings['PC2'].abs().sort_values(ascending=False).head(10)\n",
        "display(top_pc1, top_pc2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "JtAifjf33CjV",
        "outputId": "a2a23c6f-7983-4c01-af34-7d93edb51c62"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Health_Risk_Score    0.382901\n",
              "ap_hi                0.326046\n",
              "Risk_Age             0.323984\n",
              "Hypertension_Flag    0.312739\n",
              "BMI                  0.280869\n",
              "Obesity_Flag         0.265352\n",
              "weight               0.260549\n",
              "ap_lo                0.252332\n",
              "age                  0.236449\n",
              "age_years            0.236379\n",
              "Name: PC1, dtype: float64"
            ],
            "text/html": [
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>PC1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Health_Risk_Score</th>\n",
              "      <td>0.382901</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ap_hi</th>\n",
              "      <td>0.326046</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Risk_Age</th>\n",
              "      <td>0.323984</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Hypertension_Flag</th>\n",
              "      <td>0.312739</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BMI</th>\n",
              "      <td>0.280869</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Obesity_Flag</th>\n",
              "      <td>0.265352</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>weight</th>\n",
              "      <td>0.260549</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ap_lo</th>\n",
              "      <td>0.252332</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>age</th>\n",
              "      <td>0.236449</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>age_years</th>\n",
              "      <td>0.236379</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
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          "metadata": {}
        },
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          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Lifestyle_Score     0.457493\n",
              "Smoker_Alcoholic    0.412343\n",
              "smoke               0.401631\n",
              "alco                0.385864\n",
              "gender              0.261525\n",
              "age_years           0.223304\n",
              "age                 0.223204\n",
              "height              0.212252\n",
              "Risk_Age            0.199325\n",
              "active              0.147921\n",
              "Name: PC2, dtype: float64"
            ],
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>PC2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Lifestyle_Score</th>\n",
              "      <td>0.457493</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Smoker_Alcoholic</th>\n",
              "      <td>0.412343</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>smoke</th>\n",
              "      <td>0.401631</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alco</th>\n",
              "      <td>0.385864</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>gender</th>\n",
              "      <td>0.261525</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>age_years</th>\n",
              "      <td>0.223304</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>age</th>\n",
              "      <td>0.223204</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>height</th>\n",
              "      <td>0.212252</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Risk_Age</th>\n",
              "      <td>0.199325</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>active</th>\n",
              "      <td>0.147921</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "pca_df = pd.DataFrame(X_pca_2d, columns=['PC1','PC2'])\n",
        "pca_df['cardio'] = y.values\n",
        "pca_df.to_csv('pca_projection.csv', index=False)\n",
        "\n",
        "umap_df = pd.DataFrame(X_umap, columns=['UMAP1','UMAP2'])\n",
        "umap_df['cardio'] = y.values\n",
        "umap_df.to_csv('umap_projection.csv', index=False)\n",
        "\n",
        "print(\"Saved PCA and UMAP projections to CSV.\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wXm37KGb3GhJ",
        "outputId": "123b72c2-bf3c-4c91-950b-10304cb327dc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saved PCA and UMAP projections to CSV.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "!pip install --upgrade xgboost catboost lightgbm shap matplotlib seaborn joblib"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QjVFVfox6CxI",
        "outputId": "36cdaf14-5bb9-4c02-fe00-9f02449ba864"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: xgboost in /usr/local/lib/python3.12/dist-packages (3.1.1)\n",
            "Requirement already satisfied: catboost in /usr/local/lib/python3.12/dist-packages (1.2.8)\n",
            "Requirement already satisfied: lightgbm in /usr/local/lib/python3.12/dist-packages (4.6.0)\n",
            "Requirement already satisfied: shap in /usr/local/lib/python3.12/dist-packages (0.49.1)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.12/dist-packages (3.10.7)\n",
            "Requirement already satisfied: seaborn in /usr/local/lib/python3.12/dist-packages (0.13.2)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.12/dist-packages (1.5.2)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.12/dist-packages (from xgboost) (2.0.2)\n",
            "Requirement already satisfied: nvidia-nccl-cu12 in /usr/local/lib/python3.12/dist-packages (from xgboost) (2.27.3)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.12/dist-packages (from xgboost) (1.16.3)\n",
            "Requirement already satisfied: graphviz in /usr/local/lib/python3.12/dist-packages (from catboost) (0.21)\n",
            "Requirement already satisfied: pandas>=0.24 in /usr/local/lib/python3.12/dist-packages (from catboost) (2.2.2)\n",
            "Requirement already satisfied: plotly in /usr/local/lib/python3.12/dist-packages (from catboost) (5.24.1)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.12/dist-packages (from catboost) (1.17.0)\n",
            "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.12/dist-packages (from shap) (1.2.2)\n",
            "Requirement already satisfied: tqdm>=4.27.0 in /usr/local/lib/python3.12/dist-packages (from shap) (4.67.1)\n",
            "Requirement already satisfied: packaging>20.9 in /usr/local/lib/python3.12/dist-packages (from shap) (25.0)\n",
            "Requirement already satisfied: slicer==0.0.8 in /usr/local/lib/python3.12/dist-packages (from shap) (0.0.8)\n",
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            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (4.60.1)\n",
            "Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (1.4.9)\n",
            "Requirement already satisfied: pillow>=8 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (11.3.0)\n",
            "Requirement already satisfied: pyparsing>=3 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (3.2.5)\n",
            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (2.9.0.post0)\n",
            "Requirement already satisfied: llvmlite<0.44,>=0.43.0dev0 in /usr/local/lib/python3.12/dist-packages (from numba>=0.54->shap) (0.43.0)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas>=0.24->catboost) (2025.2)\n",
            "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas>=0.24->catboost) (2025.2)\n",
            "Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.12/dist-packages (from plotly->catboost) (8.5.0)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn->shap) (3.6.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "!pip install --upgrade xgboost catboost lightgbm shap matplotlib seaborn joblib"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vx6FTtWI93z8",
        "outputId": "5c4907fa-b7f7-4772-8dd3-3914524b2c45"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: xgboost in /usr/local/lib/python3.12/dist-packages (3.1.1)\n",
            "Requirement already satisfied: catboost in /usr/local/lib/python3.12/dist-packages (1.2.8)\n",
            "Requirement already satisfied: lightgbm in /usr/local/lib/python3.12/dist-packages (4.6.0)\n",
            "Requirement already satisfied: shap in /usr/local/lib/python3.12/dist-packages (0.49.1)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.12/dist-packages (3.10.7)\n",
            "Requirement already satisfied: seaborn in /usr/local/lib/python3.12/dist-packages (0.13.2)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.12/dist-packages (1.5.2)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.12/dist-packages (from xgboost) (2.0.2)\n",
            "Requirement already satisfied: nvidia-nccl-cu12 in /usr/local/lib/python3.12/dist-packages (from xgboost) (2.27.3)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.12/dist-packages (from xgboost) (1.16.3)\n",
            "Requirement already satisfied: graphviz in /usr/local/lib/python3.12/dist-packages (from catboost) (0.21)\n",
            "Requirement already satisfied: pandas>=0.24 in /usr/local/lib/python3.12/dist-packages (from catboost) (2.2.2)\n",
            "Requirement already satisfied: plotly in /usr/local/lib/python3.12/dist-packages (from catboost) (5.24.1)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.12/dist-packages (from catboost) (1.17.0)\n",
            "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.12/dist-packages (from shap) (1.2.2)\n",
            "Requirement already satisfied: tqdm>=4.27.0 in /usr/local/lib/python3.12/dist-packages (from shap) (4.67.1)\n",
            "Requirement already satisfied: packaging>20.9 in /usr/local/lib/python3.12/dist-packages (from shap) (25.0)\n",
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            "Requirement already satisfied: numba>=0.54 in /usr/local/lib/python3.12/dist-packages (from shap) (0.60.0)\n",
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            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.12/dist-packages (from shap) (4.15.0)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (1.3.3)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (0.12.1)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (4.60.1)\n",
            "Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (1.4.9)\n",
            "Requirement already satisfied: pillow>=8 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (11.3.0)\n",
            "Requirement already satisfied: pyparsing>=3 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (3.2.5)\n",
            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (2.9.0.post0)\n",
            "Requirement already satisfied: llvmlite<0.44,>=0.43.0dev0 in /usr/local/lib/python3.12/dist-packages (from numba>=0.54->shap) (0.43.0)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas>=0.24->catboost) (2025.2)\n",
            "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas>=0.24->catboost) (2025.2)\n",
            "Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.12/dist-packages (from plotly->catboost) (8.5.0)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn->shap) (3.6.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "!pip install --upgrade xgboost catboost lightgbm shap matplotlib seaborn joblib"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aP5azgqB-Dep",
        "outputId": "2af7fd11-feaa-48b7-d648-22adbf81a693"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: xgboost in /usr/local/lib/python3.12/dist-packages (3.1.1)\n",
            "Requirement already satisfied: catboost in /usr/local/lib/python3.12/dist-packages (1.2.8)\n",
            "Requirement already satisfied: lightgbm in /usr/local/lib/python3.12/dist-packages (4.6.0)\n",
            "Requirement already satisfied: shap in /usr/local/lib/python3.12/dist-packages (0.49.1)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.12/dist-packages (3.10.7)\n",
            "Requirement already satisfied: seaborn in /usr/local/lib/python3.12/dist-packages (0.13.2)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.12/dist-packages (1.5.2)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.12/dist-packages (from xgboost) (2.0.2)\n",
            "Requirement already satisfied: nvidia-nccl-cu12 in /usr/local/lib/python3.12/dist-packages (from xgboost) (2.27.3)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.12/dist-packages (from xgboost) (1.16.3)\n",
            "Requirement already satisfied: graphviz in /usr/local/lib/python3.12/dist-packages (from catboost) (0.21)\n",
            "Requirement already satisfied: pandas>=0.24 in /usr/local/lib/python3.12/dist-packages (from catboost) (2.2.2)\n",
            "Requirement already satisfied: plotly in /usr/local/lib/python3.12/dist-packages (from catboost) (5.24.1)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.12/dist-packages (from catboost) (1.17.0)\n",
            "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.12/dist-packages (from shap) (1.2.2)\n",
            "Requirement already satisfied: tqdm>=4.27.0 in /usr/local/lib/python3.12/dist-packages (from shap) (4.67.1)\n",
            "Requirement already satisfied: packaging>20.9 in /usr/local/lib/python3.12/dist-packages (from shap) (25.0)\n",
            "Requirement already satisfied: slicer==0.0.8 in /usr/local/lib/python3.12/dist-packages (from shap) (0.0.8)\n",
            "Requirement already satisfied: numba>=0.54 in /usr/local/lib/python3.12/dist-packages (from shap) (0.60.0)\n",
            "Requirement already satisfied: cloudpickle in /usr/local/lib/python3.12/dist-packages (from shap) (3.1.1)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.12/dist-packages (from shap) (4.15.0)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (1.3.3)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (0.12.1)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (4.60.1)\n",
            "Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (1.4.9)\n",
            "Requirement already satisfied: pillow>=8 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (11.3.0)\n",
            "Requirement already satisfied: pyparsing>=3 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (3.2.5)\n",
            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (2.9.0.post0)\n",
            "Requirement already satisfied: llvmlite<0.44,>=0.43.0dev0 in /usr/local/lib/python3.12/dist-packages (from numba>=0.54->shap) (0.43.0)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas>=0.24->catboost) (2025.2)\n",
            "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas>=0.24->catboost) (2025.2)\n",
            "Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.12/dist-packages (from plotly->catboost) (8.5.0)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn->shap) (3.6.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "!pip install -U scikit-learn\n",
        "!pip install --upgrade xgboost catboost lightgbm shap matplotlib seaborn joblib umap-learn mlxtend\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "h7z7rwTy-LkV",
        "outputId": "24027a67-c68b-4aef-8676-67cded84cf8c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.12/dist-packages (1.7.2)\n",
            "Requirement already satisfied: numpy>=1.22.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn) (2.0.2)\n",
            "Requirement already satisfied: scipy>=1.8.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn) (1.16.3)\n",
            "Requirement already satisfied: joblib>=1.2.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn) (1.5.2)\n",
            "Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn) (3.6.0)\n",
            "Requirement already satisfied: xgboost in /usr/local/lib/python3.12/dist-packages (3.1.1)\n",
            "Requirement already satisfied: catboost in /usr/local/lib/python3.12/dist-packages (1.2.8)\n",
            "Requirement already satisfied: lightgbm in /usr/local/lib/python3.12/dist-packages (4.6.0)\n",
            "Requirement already satisfied: shap in /usr/local/lib/python3.12/dist-packages (0.49.1)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.12/dist-packages (3.10.7)\n",
            "Requirement already satisfied: seaborn in /usr/local/lib/python3.12/dist-packages (0.13.2)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.12/dist-packages (1.5.2)\n",
            "Requirement already satisfied: umap-learn in /usr/local/lib/python3.12/dist-packages (0.5.9.post2)\n",
            "Requirement already satisfied: mlxtend in /usr/local/lib/python3.12/dist-packages (0.23.4)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.12/dist-packages (from xgboost) (2.0.2)\n",
            "Requirement already satisfied: nvidia-nccl-cu12 in /usr/local/lib/python3.12/dist-packages (from xgboost) (2.27.3)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.12/dist-packages (from xgboost) (1.16.3)\n",
            "Requirement already satisfied: graphviz in /usr/local/lib/python3.12/dist-packages (from catboost) (0.21)\n",
            "Requirement already satisfied: pandas>=0.24 in /usr/local/lib/python3.12/dist-packages (from catboost) (2.2.2)\n",
            "Requirement already satisfied: plotly in /usr/local/lib/python3.12/dist-packages (from catboost) (5.24.1)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.12/dist-packages (from catboost) (1.17.0)\n",
            "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.12/dist-packages (from shap) (1.7.2)\n",
            "Requirement already satisfied: tqdm>=4.27.0 in /usr/local/lib/python3.12/dist-packages (from shap) (4.67.1)\n",
            "Requirement already satisfied: packaging>20.9 in /usr/local/lib/python3.12/dist-packages (from shap) (25.0)\n",
            "Requirement already satisfied: slicer==0.0.8 in /usr/local/lib/python3.12/dist-packages (from shap) (0.0.8)\n",
            "Requirement already satisfied: numba>=0.54 in /usr/local/lib/python3.12/dist-packages (from shap) (0.60.0)\n",
            "Requirement already satisfied: cloudpickle in /usr/local/lib/python3.12/dist-packages (from shap) (3.1.1)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.12/dist-packages (from shap) (4.15.0)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (1.3.3)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (0.12.1)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (4.60.1)\n",
            "Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (1.4.9)\n",
            "Requirement already satisfied: pillow>=8 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (11.3.0)\n",
            "Requirement already satisfied: pyparsing>=3 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (3.2.5)\n",
            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (2.9.0.post0)\n",
            "Requirement already satisfied: pynndescent>=0.5 in /usr/local/lib/python3.12/dist-packages (from umap-learn) (0.5.13)\n",
            "Requirement already satisfied: llvmlite<0.44,>=0.43.0dev0 in /usr/local/lib/python3.12/dist-packages (from numba>=0.54->shap) (0.43.0)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas>=0.24->catboost) (2025.2)\n",
            "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas>=0.24->catboost) (2025.2)\n",
            "Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn->shap) (3.6.0)\n",
            "Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.12/dist-packages (from plotly->catboost) (8.5.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "import os, sys, joblib\n",
        "import numpy as np, pandas as pd\n",
        "import matplotlib.pyplot as plt, seaborn as sns\n",
        "from time import time\n",
        "\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
        "from sklearn.compose import ColumnTransformer\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.impute import SimpleImputer\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from sklearn.metrics import (\n",
        "    accuracy_score, precision_score, recall_score, f1_score, roc_auc_score,\n",
        "    confusion_matrix, classification_report, roc_curve\n",
        ")\n",
        "\n",
        "RND = 42\n",
        "DATA_PATH = \"/content/cardio_train_extended.csv\"\n",
        "RESULTS_DIR = \"/content/model_results\"\n",
        "os.makedirs(RESULTS_DIR, exist_ok=True)"
      ],
      "metadata": {
        "id": "SrLrTUEz_BIK"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "df = pd.read_csv(DATA_PATH)\n",
        "print(\"Shape:\", df.shape)\n",
        "\n",
        "drop_cols = ['id','age','Reason'] if set(['id','age','Reason']).issubset(df.columns) else ['id','age']\n",
        "X = df.drop(columns=drop_cols + ['cardio'])\n",
        "y = df['cardio']\n",
        "\n",
        "cat_cols = [c for c in X.columns if X[c].dtype == 'object' or X[c].dtype.name == 'category']\n",
        "num_cols = [c for c in X.columns if c not in cat_cols]\n",
        "print(\"Num cols:\", len(num_cols), \"Cat cols:\", len(cat_cols))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ucre7f22_JDO",
        "outputId": "9871b6b3-8282-40ed-a099-7993a39dbc8d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Shape: (70000, 32)\n",
            "Num cols: 24 Cat cols: 4\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "X_train_raw, X_test_raw, y_train, y_test = train_test_split(\n",
        "    X, y, test_size=0.2, random_state=RND, stratify=y\n",
        ")\n",
        "print(\"Train:\", X_train_raw.shape, \"Test:\", X_test_raw.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cUmJtmKZ_T0s",
        "outputId": "288d4466-6626-4143-cb0e-1329dbae7e5d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Train: (56000, 28) Test: (14000, 28)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "numeric_transformer = Pipeline(steps=[\n",
        "    ('imputer', SimpleImputer(strategy='median')),\n",
        "    ('scaler', StandardScaler())\n",
        "])\n",
        "categorical_transformer = Pipeline(steps=[\n",
        "    ('imputer', SimpleImputer(strategy='most_frequent')),\n",
        "    ('onehot', OneHotEncoder(handle_unknown='ignore'))\n",
        "])\n",
        "preprocessor = ColumnTransformer([\n",
        "    ('num', numeric_transformer, num_cols),\n",
        "    ('cat', categorical_transformer, cat_cols)\n",
        "], remainder='drop')\n",
        "\n",
        "# Fit on train and transform both\n",
        "X_train = preprocessor.fit_transform(X_train_raw)\n",
        "X_test = preprocessor.transform(X_test_raw)\n",
        "\n",
        "# Build processed feature names list\n",
        "ohe_names = []\n",
        "if cat_cols:\n",
        "    ohe = preprocessor.named_transformers_['cat'].named_steps['onehot']\n",
        "    ohe_names = list(ohe.get_feature_names_out(cat_cols))\n",
        "processed_feature_names = num_cols + ohe_names\n",
        "print(\"Processed features:\", len(processed_feature_names))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "R_IAoOPc_5yy",
        "outputId": "19a31404-7596-47e1-9cb2-743127dddfec"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Processed features: 40\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell 6 - helper functions\n",
        "from collections import OrderedDict\n",
        "models_metrics = []\n",
        "\n",
        "def evaluate_model(name, model, X_tr, y_tr, X_te, y_te, save_model=True):\n",
        "    t0 = time()\n",
        "    model.fit(X_tr, y_tr)\n",
        "    fit_time = time() - t0\n",
        "    preds = model.predict(X_te)\n",
        "    probs = model.predict_proba(X_te)[:,1] if hasattr(model, \"predict_proba\") else model.decision_function(X_te)\n",
        "    metrics = {\n",
        "        \"model\": name,\n",
        "        \"accuracy\": accuracy_score(y_te, preds),\n",
        "        \"precision\": precision_score(y_te, preds),\n",
        "        \"recall\": recall_score(y_te, preds),\n",
        "        \"f1\": f1_score(y_te, preds),\n",
        "        \"roc_auc\": roc_auc_score(y_te, probs),\n",
        "        \"fit_time_sec\": fit_time\n",
        "    }\n",
        "    models_metrics.append(metrics)\n",
        "    print(f\"\\n== {name} ==\\n\", pd.Series(metrics).to_frame(name).T)\n",
        "    print(classification_report(y_te, preds, digits=4))\n",
        "    if save_model:\n",
        "        joblib.dump(model, os.path.join(RESULTS_DIR, f\"{name}.joblib\"))\n",
        "    return model, preds, probs"
      ],
      "metadata": {
        "id": "-1Y07rF4AqUJ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell 7 - Logistic Regression\n",
        "lr = LogisticRegression(max_iter=2000, random_state=RND)\n",
        "lr_model, lr_preds, lr_probs = evaluate_model(\"LogisticRegression\", lr, X_train, y_train, X_test, y_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TISMZa7SA3K6",
        "outputId": "2ba9e829-77f4-4618-d8da-a6eae037a303"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "== LogisticRegression ==\n",
            "                                  model  accuracy precision    recall  \\\n",
            "LogisticRegression  LogisticRegression  0.838929  0.840736  0.836049   \n",
            "\n",
            "                          f1   roc_auc fit_time_sec  \n",
            "LogisticRegression  0.838386  0.914527     0.361435  \n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0     0.8371    0.8418    0.8395      7004\n",
            "           1     0.8407    0.8360    0.8384      6996\n",
            "\n",
            "    accuracy                         0.8389     14000\n",
            "   macro avg     0.8389    0.8389    0.8389     14000\n",
            "weighted avg     0.8389    0.8389    0.8389     14000\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell 8 - Random Forest (reasonable defaults, fast)\n",
        "rf = RandomForestClassifier(n_estimators=200, max_depth=12, random_state=RND, n_jobs=1)\n",
        "rf_model, rf_preds, rf_probs = evaluate_model(\"RandomForest\", rf, X_train, y_train, X_test, y_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ODALEPOwA9vb",
        "outputId": "f23f2b91-1857-4a72-ef0d-09705f75431d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "== RandomForest ==\n",
            "                      model  accuracy precision    recall       f1   roc_auc  \\\n",
            "RandomForest  RandomForest  0.846714  0.849424  0.842624  0.84601  0.918221   \n",
            "\n",
            "             fit_time_sec  \n",
            "RandomForest    16.860125  \n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0     0.8441    0.8508    0.8474      7004\n",
            "           1     0.8494    0.8426    0.8460      6996\n",
            "\n",
            "    accuracy                         0.8467     14000\n",
            "   macro avg     0.8467    0.8467    0.8467     14000\n",
            "weighted avg     0.8467    0.8467    0.8467     14000\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell 9 - XGBoost\n",
        "import xgboost as xgb\n",
        "xgb_clf = xgb.XGBClassifier(\n",
        "    n_estimators=300, learning_rate=0.08, max_depth=6,\n",
        "    eval_metric='logloss', random_state=RND, n_jobs=1\n",
        ")\n",
        "xgb_model, xgb_preds, xgb_probs = evaluate_model(\"XGBoost\", xgb_clf, X_train, y_train, X_test, y_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9POvuNT0BI48",
        "outputId": "1412591a-2ada-400c-d535-cac8d84b8528"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "== XGBoost ==\n",
            "            model  accuracy precision    recall        f1  roc_auc fit_time_sec\n",
            "XGBoost  XGBoost  0.848214  0.853843  0.840051  0.846891  0.92293     4.566297\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0     0.8428    0.8564    0.8495      7004\n",
            "           1     0.8538    0.8401    0.8469      6996\n",
            "\n",
            "    accuracy                         0.8482     14000\n",
            "   macro avg     0.8483    0.8482    0.8482     14000\n",
            "weighted avg     0.8483    0.8482    0.8482     14000\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell 10 - CatBoost (works on numpy arrays too)\n",
        "from catboost import CatBoostClassifier\n",
        "cb = CatBoostClassifier(iterations=600, depth=6, learning_rate=0.05, random_seed=RND, verbose=0)\n",
        "cb_model, cb_preds, cb_probs = evaluate_model(\"CatBoost\", cb, X_train, y_train, X_test, y_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YgrFkeodB9i6",
        "outputId": "c17df2dc-9a0b-42cc-8a2c-bbcaf7666342"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "== CatBoost ==\n",
            "              model accuracy precision    recall        f1   roc_auc  \\\n",
            "CatBoost  CatBoost   0.8495  0.855667  0.840623  0.848078  0.924751   \n",
            "\n",
            "         fit_time_sec  \n",
            "CatBoost    21.431641  \n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0     0.8436    0.8584    0.8509      7004\n",
            "           1     0.8557    0.8406    0.8481      6996\n",
            "\n",
            "    accuracy                         0.8495     14000\n",
            "   macro avg     0.8496    0.8495    0.8495     14000\n",
            "weighted avg     0.8496    0.8495    0.8495     14000\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell 11 - LightGBM\n",
        "import lightgbm as lgb\n",
        "lgb_clf = lgb.LGBMClassifier(n_estimators=400, learning_rate=0.06, max_depth=8, random_state=RND, n_jobs=1)\n",
        "lgb_model, lgb_preds, lgb_probs = evaluate_model(\"LightGBM\", lgb_clf, X_train, y_train, X_test, y_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4CP3LDQoCOBP",
        "outputId": "fe4bd9a8-94ff-495f-c780-9e932edabcf7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Info] Number of positive: 27983, number of negative: 28017\n",
            "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.011163 seconds.\n",
            "You can set `force_row_wise=true` to remove the overhead.\n",
            "And if memory is not enough, you can set `force_col_wise=true`.\n",
            "[LightGBM] [Info] Total Bins 2061\n",
            "[LightGBM] [Info] Number of data points in the train set: 56000, number of used features: 39\n",
            "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.499696 -> initscore=-0.001214\n",
            "[LightGBM] [Info] Start training from score -0.001214\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/sklearn/utils/validation.py:2749: UserWarning: X does not have valid feature names, but LGBMClassifier was fitted with feature names\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/sklearn/utils/validation.py:2749: UserWarning: X does not have valid feature names, but LGBMClassifier was fitted with feature names\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "== LightGBM ==\n",
            "              model  accuracy precision    recall        f1   roc_auc  \\\n",
            "LightGBM  LightGBM  0.848857  0.854754  0.840337  0.847485  0.923164   \n",
            "\n",
            "         fit_time_sec  \n",
            "LightGBM     3.221709  \n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0     0.8432    0.8574    0.8502      7004\n",
            "           1     0.8548    0.8403    0.8475      6996\n",
            "\n",
            "    accuracy                         0.8489     14000\n",
            "   macro avg     0.8490    0.8489    0.8488     14000\n",
            "weighted avg     0.8490    0.8489    0.8488     14000\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell 13 - aggregate & display\n",
        "metrics_df = pd.DataFrame(models_metrics)\n",
        "# Order columns\n",
        "metrics_df = metrics_df[['model','accuracy','precision','recall','f1','roc_auc','fit_time_sec']]\n",
        "# Save & display\n",
        "metrics_df.to_csv(os.path.join(RESULTS_DIR, \"model_metrics_summary.csv\"), index=False)\n",
        "# Sort by recall (our priority) then accuracy\n",
        "metrics_df_sorted = metrics_df.sort_values(by=['recall','accuracy'], ascending=False).reset_index(drop=True)\n",
        "display(metrics_df_sorted)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        },
        "id": "A5MADLqYCaP7",
        "outputId": "6ce14fc6-b2a9-4856-ee8b-1f1ca460f072"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "                model  accuracy  precision    recall        f1   roc_auc  \\\n",
              "0        RandomForest  0.846714   0.849424  0.842624  0.846010  0.918221   \n",
              "1            CatBoost  0.849500   0.855667  0.840623  0.848078  0.924751   \n",
              "2            LightGBM  0.848857   0.854754  0.840337  0.847485  0.923164   \n",
              "3             XGBoost  0.848214   0.853843  0.840051  0.846891  0.922930   \n",
              "4             XGBoost  0.848214   0.853843  0.840051  0.846891  0.922930   \n",
              "5  LogisticRegression  0.838929   0.840736  0.836049  0.838386  0.914527   \n",
              "\n",
              "   fit_time_sec  \n",
              "0     16.860125  \n",
              "1     21.431641  \n",
              "2      3.221709  \n",
              "3      5.354553  \n",
              "4      4.566297  \n",
              "5      0.361435  "
            ],
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              "      <th></th>\n",
              "      <th>model</th>\n",
              "      <th>accuracy</th>\n",
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              "      <td>0.840623</td>\n",
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              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
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              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "    60% {\n",
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              "      border-right-color: var(--fill-color);\n",
              "    }\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "      <script>\n",
              "        async function quickchart(key) {\n",
              "          const quickchartButtonEl =\n",
              "            document.querySelector('#' + key + ' button');\n",
              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "          try {\n",
              "            const charts = await google.colab.kernel.invokeFunction(\n",
              "                'suggestCharts', [key], {});\n",
              "          } catch (error) {\n",
              "            console.error('Error during call to suggestCharts:', error);\n",
              "          }\n",
              "          quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "        }\n",
              "        (() => {\n",
              "          let quickchartButtonEl =\n",
              "            document.querySelector('#df-4486910c-c7ae-4a91-8b35-2886caa290d0 button');\n",
              "          quickchartButtonEl.style.display =\n",
              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "        })();\n",
              "      </script>\n",
              "    </div>\n",
              "\n",
              "  <div id=\"id_35648746-50dd-44e9-a765-a2b2ccea0dfc\">\n",
              "    <style>\n",
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              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
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              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
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              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('metrics_df_sorted')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    </button>\n",
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              "        document.querySelector('#id_35648746-50dd-44e9-a765-a2b2ccea0dfc button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('metrics_df_sorted');\n",
              "      }\n",
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              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "metrics_df_sorted",
              "summary": "{\n  \"name\": \"metrics_df_sorted\",\n  \"rows\": 6,\n  \"fields\": [\n    {\n      \"column\": \"model\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"CatBoost\",\n          \"LogisticRegression\",\n          \"LightGBM\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"accuracy\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.003936139895749574,\n        \"min\": 0.8389285714285715,\n        \"max\": 0.8495,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.8495,\n          0.8389285714285715,\n          0.8488571428571429\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"precision\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.005639486160796953,\n        \"min\": 0.8407359494034785,\n        \"max\": 0.8556671031572821,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.8556671031572821,\n          0.8407359494034785,\n          0.8547542890375109\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"recall\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0021443999510630998,\n        \"min\": 0.8360491709548313,\n        \"max\": 0.8426243567753001,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.8406232132647227,\n          0.8360491709548313,\n          0.8403373356203545\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"f1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0036120367403234483,\n        \"min\": 0.8383860101770229,\n        \"max\": 0.84807844833802,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.84807844833802,\n          0.8383860101770229,\n          0.8474845033876316\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"roc_auc\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0038930791821079063,\n        \"min\": 0.9145270537231196,\n        \"max\": 0.9247508733880403,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.9247508733880403,\n          0.9145270537231196,\n          0.923164158584215\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"fit_time_sec\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 8.44367152225237,\n        \"min\": 0.3614346981048584,\n        \"max\": 21.431640625,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          16.860124826431274,\n          21.431640625,\n          0.3614346981048584\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell 14 - plots: accuracy & recall\n",
        "plt.figure(figsize=(10,4))\n",
        "plt.subplot(1,2,1)\n",
        "sns.barplot(x='accuracy', y='model', data=metrics_df_sorted, palette='viridis', hue='model', legend=False)\n",
        "plt.title(\"Model Accuracy\")\n",
        "plt.xlim(0,1)\n",
        "plt.subplot(1,2,2)\n",
        "sns.barplot(x='recall', y='model', data=metrics_df_sorted, palette='magma', hue='model', legend=False)\n",
        "plt.title(\"Model Recall (Priority)\")\n",
        "plt.xlim(0,1)\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "# ROC curves for top 4 models by recall\n",
        "top4 = metrics_df_sorted['model'].head(4).tolist()\n",
        "plt.figure(figsize=(8,6))\n",
        "for m in top4:\n",
        "    mod = joblib.load(os.path.join(RESULTS_DIR, f\"{m}.joblib\"))\n",
        "    probs = None\n",
        "    # load probs from memory variables if present\n",
        "    if m == \"LogisticRegression\":\n",
        "        probs = lr_probs\n",
        "    elif m == \"RandomForest\":\n",
        "        probs = rf_probs\n",
        "    elif m == \"XGBoost\":\n",
        "        probs = xgb_probs\n",
        "    elif m == \"CatBoost\":\n",
        "        probs = cb_probs\n",
        "    elif m == \"LightGBM\":\n",
        "        probs = lgb_probs\n",
        "    else:\n",
        "        # try model.predict_proba\n",
        "        try:\n",
        "            probs = mod.predict_proba(X_test)[:,1]\n",
        "        except:\n",
        "            continue\n",
        "    fpr, tpr, _ = roc_curve(y_test, probs)\n",
        "    plt.plot(fpr, tpr, label=f\"{m} (AUC={roc_auc_score(y_test, probs):.3f})\")\n",
        "plt.plot([0,1],[0,1],'k--', alpha=0.4)\n",
        "plt.xlabel(\"False Positive Rate\")\n",
        "plt.ylabel(\"True Positive Rate\")\n",
        "plt.title(\"ROC Curves (Top models by recall)\")\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 939
        },
        "id": "71W_dfTcCfOv",
        "outputId": "0a91edcc-cb49-407d-d1fe-fe3bc2bb8b47"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x400 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell 15 - save summary and note next steps\n",
        "print(\"Saved model artifacts to:\", RESULTS_DIR)\n",
        "print(\"Metrics saved to:\", os.path.join(RESULTS_DIR, \"model_metrics_summary.csv\"))\n",
        "# Next steps recommendation:\n",
        "print(\"\"\"\n",
        "Next steps (recommended):\n",
        "1) Inspect metrics_df_sorted above and pick 2-3 top models (e.g., best recall, best AUC).\n",
        "2) Run calibration (Isotonic or Platt) on those models if you want reliable probabilities.\n",
        "3) Generate SHAP for the best model(s) for feature importance and sample explainability (I will provide cells).\n",
        "4) If you want, we can run Optuna tuning on XGB/CAT to push recall/accuracy further.\n",
        "\"\"\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "i8NO7OJICnM8",
        "outputId": "719b6ed9-fc92-49f5-c419-591ab7d6441e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saved model artifacts to: /content/model_results\n",
            "Metrics saved to: /content/model_results/model_metrics_summary.csv\n",
            "\n",
            "Next steps (recommended):\n",
            "1) Inspect metrics_df_sorted above and pick 2-3 top models (e.g., best recall, best AUC).\n",
            "2) Run calibration (Isotonic or Platt) on those models if you want reliable probabilities.\n",
            "3) Generate SHAP for the best model(s) for feature importance and sample explainability (I will provide cells).\n",
            "4) If you want, we can run Optuna tuning on XGB/CAT to push recall/accuracy further.\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell 1 - load / prepare holdout probabilities\n",
        "import os, joblib, numpy as np, pandas as pd\n",
        "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_auc_score\n",
        "\n",
        "RESULTS_DIR = \"/content/model_results\"  # adjust if different\n",
        "HOLDOUT_BASE_PROBS = os.path.join(RESULTS_DIR, \"holdout_base_probs.csv\")\n",
        "\n",
        "# Try to use in-memory variables if they exist (from prior cells)\n",
        "try:\n",
        "    p_xgb = xgb_probs  # variable name used earlier in your session\n",
        "    p_cat = cb_probs\n",
        "    print(\"Using in-memory probability arrays (xgb_probs, cb_probs).\")\n",
        "except Exception:\n",
        "    p_xgb = None\n",
        "    p_cat = None\n",
        "\n",
        "# If not in-memory, try loading CSV\n",
        "if (p_xgb is None) or (p_cat is None):\n",
        "    if os.path.exists(HOLDOUT_BASE_PROBS):\n",
        "        print(\"Loading holdout base probs from:\", HOLDOUT_BASE_PROBS)\n",
        "        df_hold = pd.read_csv(HOLDOUT_BASE_PROBS)\n",
        "        # expected columns: test_index, y_test, p_xgb_holdout_full, p_cat_holdout_full\n",
        "        # adapt to your column names if different\n",
        "        col_candidates = [c for c in df_hold.columns if 'xgb' in c.lower() or 'cat' in c.lower()]\n",
        "        # heuristics\n",
        "        if 'p_xgb_holdout_full' in df_hold.columns:\n",
        "            p_xgb = df_hold['p_xgb_holdout_full'].values\n",
        "        elif any('xgb' in c.lower() for c in df_hold.columns):\n",
        "            p_xgb = df_hold[[c for c in df_hold.columns if 'xgb' in c.lower()][0]].values\n",
        "        if 'p_cat_holdout_full' in df_hold.columns:\n",
        "            p_cat = df_hold['p_cat_holdout_full'].values\n",
        "        elif any('cat' in c.lower() for c in df_hold.columns):\n",
        "            p_cat = df_hold[[c for c in df_hold.columns if 'cat' in c.lower()][0]].values\n",
        "        # get y_test\n",
        "        if 'y_test' in df_hold.columns:\n",
        "            y_test = df_hold['y_test'].values\n",
        "        elif 'target' in df_hold.columns:\n",
        "            y_test = df_hold['target'].values\n",
        "        else:\n",
        "            # fallback to in-memory y_test if available\n",
        "            try:\n",
        "                y_test = y_test\n",
        "            except:\n",
        "                raise RuntimeError(\"Couldn't find y_test in CSV and no in-memory y_test. Please provide y_test.\")\n",
        "    else:\n",
        "        # fallback: try to compute probs from saved full models if X_test exists\n",
        "        print(\"holdout_base_probs.csv not found. Attempting to compute from saved full models and X_test.\")\n",
        "        try:\n",
        "            # load preprocessor and X_test_raw -> transform\n",
        "            xgb_full = joblib.load(os.path.join(RESULTS_DIR, \"XGBoost.joblib\"))\n",
        "            cat_full = joblib.load(os.path.join(RESULTS_DIR, \"CatBoost.joblib\"))\n",
        "            # Expect X_test to be available in the notebook (X_test)\n",
        "            X_input = X_test  # processed features matrix (numpy)\n",
        "            p_xgb = xgb_full.predict_proba(X_input)[:,1]\n",
        "            p_cat = cat_full.predict_proba(X_input)[:,1]\n",
        "            print(\"Computed holdout probs from saved models.\")\n",
        "        except Exception as e:\n",
        "            raise RuntimeError(\"Cannot locate probabilities or compute them. Provide holdout_base_probs.csv or have XGBoost/CatBoost models and X_test in memory.\") from e\n",
        "\n",
        "# Sanity\n",
        "print(\"Lengths -> p_xgb:\", len(p_xgb), \"p_cat:\", len(p_cat), \"y_test:\", len(y_test))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mfqJ_PytK-LU",
        "outputId": "dc60f3a0-fdfe-473f-98ae-2f3df464e75d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Using in-memory probability arrays (xgb_probs, cb_probs).\n",
            "Lengths -> p_xgb: 14000 p_cat: 14000 y_test: 14000\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell 2 - weighted ensemble creation & metrics\n",
        "import numpy as np\n",
        "from sklearn.metrics import classification_report, confusion_matrix, roc_curve, auc\n",
        "\n",
        "# choose weights (change if you want to tune)\n",
        "w_xgb = 0.5\n",
        "w_cat = 0.5\n",
        "\n",
        "p_weighted = w_xgb * np.array(p_xgb) + w_cat * np.array(p_cat)\n",
        "\n",
        "# Threshold for binary prediction (standard 0.5)\n",
        "thr = 0.5\n",
        "pred_xgb = (np.array(p_xgb) >= thr).astype(int)\n",
        "pred_cat = (np.array(p_cat) >= thr).astype(int)\n",
        "pred_weighted = (p_weighted >= thr).astype(int)\n",
        "\n",
        "def metrics(y_true, preds, probs):\n",
        "    return {\n",
        "        \"accuracy\": accuracy_score(y_true, preds),\n",
        "        \"precision\": precision_score(y_true, preds),\n",
        "        \"recall\": recall_score(y_true, preds),\n",
        "        \"f1\": f1_score(y_true, preds),\n",
        "        \"roc_auc\": roc_auc_score(y_true, probs)\n",
        "    }\n",
        "\n",
        "metrics_xgb = metrics(y_test, pred_xgb, p_xgb)\n",
        "metrics_cat = metrics(y_test, pred_cat, p_cat)\n",
        "metrics_weighted = metrics(y_test, pred_weighted, p_weighted)\n",
        "\n",
        "print(\"=== XGBoost metrics ===\"); print(pd.Series(metrics_xgb))\n",
        "print(\"\\n=== CatBoost metrics ===\"); print(pd.Series(metrics_cat))\n",
        "print(\"\\n=== Weighted Ensemble ({}*XGB + {}*CAT) metrics ===\".format(w_xgb, w_cat)); print(pd.Series(metrics_weighted))\n",
        "\n",
        "# Save CSV of ensemble predictions as proof\n",
        "out_df = pd.DataFrame({\n",
        "    \"y_test\": y_test,\n",
        "    \"p_xgb\": p_xgb,\n",
        "    \"p_cat\": p_cat,\n",
        "    \"p_weighted\": p_weighted,\n",
        "    \"pred_weighted\": pred_weighted\n",
        "})\n",
        "out_csv = os.path.join(RESULTS_DIR, \"ensemble_predictions_weighted.csv\")\n",
        "out_df.to_csv(out_csv, index=False)\n",
        "print(\"\\nSaved ensemble predictions to:\", out_csv)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "w1NuBgl2LMiB",
        "outputId": "565d9214-3c89-49fe-c88d-9313156bed95"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "=== XGBoost metrics ===\n",
            "accuracy     0.848214\n",
            "precision    0.853843\n",
            "recall       0.840051\n",
            "f1           0.846891\n",
            "roc_auc      0.922930\n",
            "dtype: float64\n",
            "\n",
            "=== CatBoost metrics ===\n",
            "accuracy     0.849500\n",
            "precision    0.855667\n",
            "recall       0.840623\n",
            "f1           0.848078\n",
            "roc_auc      0.924751\n",
            "dtype: float64\n",
            "\n",
            "=== Weighted Ensemble (0.5*XGB + 0.5*CAT) metrics ===\n",
            "accuracy     0.849071\n",
            "precision    0.855231\n",
            "recall       0.840194\n",
            "f1           0.847646\n",
            "roc_auc      0.924355\n",
            "dtype: float64\n",
            "\n",
            "Saved ensemble predictions to: /content/model_results/ensemble_predictions_weighted.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell 3 - plotting & saving weights\n",
        "import matplotlib.pyplot as plt, seaborn as sns, pickle\n",
        "\n",
        "# ROC overlay\n",
        "fpr_x, tpr_x, _ = roc_curve(y_test, p_xgb)\n",
        "fpr_c, tpr_c, _ = roc_curve(y_test, p_cat)\n",
        "fpr_w, tpr_w, _ = roc_curve(y_test, p_weighted)\n",
        "\n",
        "plt.figure(figsize=(7,6))\n",
        "plt.plot(fpr_x, tpr_x, label=f\"XGB (AUC={metrics_xgb['roc_auc']:.3f})\")\n",
        "plt.plot(fpr_c, tpr_c, label=f\"CAT (AUC={metrics_cat['roc_auc']:.3f})\")\n",
        "plt.plot(fpr_w, tpr_w, label=f\"Weighted (AUC={metrics_weighted['roc_auc']:.3f})\", linestyle='--')\n",
        "plt.plot([0,1],[0,1],'k--', alpha=0.4)\n",
        "plt.xlabel(\"False Positive Rate\"); plt.ylabel(\"True Positive Rate\")\n",
        "plt.title(\"ROC Curves - XGB vs CAT vs Weighted\")\n",
        "plt.legend()\n",
        "roc_png = os.path.join(RESULTS_DIR, \"roc_overlay_weighted.png\")\n",
        "plt.savefig(roc_png, dpi=200, bbox_inches='tight')\n",
        "plt.show()\n",
        "print(\"Saved ROC overlay to:\", roc_png)\n",
        "\n",
        "# Bar chart: accuracy & recall\n",
        "import pandas as pd\n",
        "comp = pd.DataFrame([\n",
        "    {\"model\":\"XGBoost\",\"accuracy\":metrics_xgb['accuracy'],\"recall\":metrics_xgb['recall']},\n",
        "    {\"model\":\"CatBoost\",\"accuracy\":metrics_cat['accuracy'],\"recall\":metrics_cat['recall']},\n",
        "    {\"model\":\"Weighted\",\"accuracy\":metrics_weighted['accuracy'],\"recall\":metrics_weighted['recall']}\n",
        "])\n",
        "plt.figure(figsize=(8,4))\n",
        "plt.subplot(1,2,1)\n",
        "sns.barplot(x='accuracy', y='model', data=comp, palette='Blues_r', hue='model', legend=False)\n",
        "plt.xlim(0,1); plt.title(\"Accuracy\")\n",
        "plt.subplot(1,2,2)\n",
        "sns.barplot(x='recall', y='model', data=comp, palette='Reds_r', hue='model', legend=False)\n",
        "plt.xlim(0,1); plt.title(\"Recall\")\n",
        "plt.tight_layout()\n",
        "bar_png = os.path.join(RESULTS_DIR, \"acc_recall_comparison.png\")\n",
        "plt.savefig(bar_png, dpi=200, bbox_inches='tight')\n",
        "plt.show()\n",
        "print(\"Saved comparison bars to:\", bar_png)\n",
        "\n",
        "# Save weights for reproducibility\n",
        "weights_path = os.path.join(RESULTS_DIR, \"ensemble_weights.pkl\")\n",
        "with open(weights_path, \"wb\") as f:\n",
        "    pickle.dump({\"w_xgb\": w_xgb, \"w_cat\": w_cat}, f)\n",
        "print(\"Saved ensemble weights to:\", weights_path)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "5oGKqzF3Lg8l",
        "outputId": "b72a74f3-77db-4263-f9b8-d6d663ef331c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 700x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saved ROC overlay to: /content/model_results/roc_overlay_weighted.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 2 Axes>"
            ],
            "image/png": 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UFRWljz76SO7u7vrxxx81depURUREKCIiQi1atFCFChXUoEEDvfLKK/r666/T7c9ms6lMmTIqU6aMqlSpotdff12FChXSzz//bB9z7tw59e3bV8WKFZOXl5c6dOigAwcOpNvP0qVLdc8998jDw0OVKlXStGnT0q2fNWuWqlSpIk9PT5UuXVrdu3eXJIWHh2vjxo1699137Z+KHTly5M68eQCQz9EjACB3cnV2ATfzwgsv6IsvvlCfPn20a9cujRs3TnXq1JEkLV68WEWKFNGgQYMy3dZms910v6mpqfroo48kSfXr17cvDw8P14EDB7R8+XL5+vpq5MiR6tixo/bs2SM3Nzf99NNP6tmzpyZMmKBevXpp06ZNGjRokEqUKKHw8HBt375d//znP/Xvf/9bTZs21dmzZ/X9999Lkt59913t379ftWrV0muvvSZJ8vf3z7S+5ORkJScn258nJiZm410DgIKBHnEdPQJAbpJrg4XNZtPs2bNVo0YNhYaGatSoUfZ1+/fvV1BQkFxd/1d+RESExo0bZ39+4sQJ+fn5Sbr+3dsiRYpIkq5cuSI3Nze9//77Cg4OliR7s4iOjlbTpk0lSZGRkQoMDNSXX36pHj16KCIiQm3bttXYsWMlXf/EbM+ePXrrrbcUHh6uo0ePytvbW506dZKPj48qVqyoevXqSZL8/Pzk7u4uLy8vlSlT5pbznjx5sl599VWrbx8A5Gv0CADIfXLlV6Fu+PDDD+Xl5aXDhw/r+PHjtxzbv39/xcbGau7cubp06ZKMMfZ1Pj4+io2NVWxsrGJiYjRp0iQ999xz+s9//iNJ2rt3r1xdXdW4cWP7NiVKlFC1atW0d+9e+5hmzZqle81mzZrpwIEDSk1N1f3336+KFSsqKChIffr0UWRkpC5fvpztOY8ePVoXLlywP44dO5btfQBAQUCPoEcAyF1ybbDYtGmT/vWvf2nFihVq1KiRnnrqKXsjqFKlig4dOqRr167ZxxctWlQhISEqV65chn0VKlRIISEhCgkJUe3atTVs2DC1bt1ab775Zo7V6+Pjox07dmjx4sUKCAiwn5Y/f/58tvbj4eEhX1/fdA8AQHr0CHoEgNwnVwaLy5cvKzw8XAMHDlRYWJjmz5+vrVu3as6cOZKk3r17KykpSbNmzXL4NVxcXHTlyhVJUo0aNZSSkqItW7bY1585c0b79u1TzZo17WOio6PT7SM6OlpVq1aVi4uLJMnV1VXt2rXT1KlT9fPPP+vIkSP67rvvJEnu7u5KTU11uF4AwHX0CADInXLlNRajR4+WMUZTpkyRJFWqVElvv/22hg8frg4dOqhJkyZ66aWX9NJLL+m3335Tt27dFBgYqPj4eM2fP182m02FCv0vMxljdPLkSUnXvz+7du1arVmzxv592ypVqqhLly4aMGCA5s6dKx8fH40aNUrlypVTly5dJEkvvfSS7r33Xk2cOFG9evXS5s2bNWPGDHvjWrFihQ4dOqSWLVuqWLFiWrVqldLS0lStWjX7HLZs2aIjR46oSJEiKl68eLoaAQBZQ48AgNwp1x21Nm7cqJkzZ2rBggXy8vKyL3/22WfVtGlT++nut99+W5988oliYmLUqVMnValSRT169FBaWpo2b96c7vRwYmKiAgICFBAQoBo1amjatGl67bXX0v0hpQULFqhBgwbq1KmTmjRpImOMVq1aJTc3N0nX7w7y2WefKSoqSrVq1dK4ceP02muvKTw8XNL10+zLli1TmzZtVKNGDc2ZM0eLFy/WPffcI0kaPny4XFxcVLNmTfn7++vo0aN34d0EgPyFHgEAuZfN/PUKNuQ6iYmJ8vPzU72B78vFo7CzywHwf7b96wlnl3BbN44fFy5c4Lv4+dSN3/HnterI6/++cgXAeTrG/uTsErLkTvWHXHfGAgAAAEDeQ7AAAAAAYBnBAgAAAIBlBAsAAAAAlhEsAAAAAFhGsAAAAABgGcECAAAAgGUECwAAAACWESwAAAAAWEawAAAAAGAZwQIAAACAZQQLAAAAAJYRLAAAAABYRrAAAAAAYBnBAgAAAIBlBAsAAAAAlhEsAAAAAFhGsAAAAABgGcECAAAAgGUECwAAAACWESwAAAAAWEawAAAAAGAZwQIAAACAZQQLAAAAAJYRLAAAAABYRrAAAAAAYBnBAgAAAIBlBAsAAAAAlhEsAAAAAFhGsAAAAABgGcECAAAAgGUECwAAAACWESwAAAAAWEawAAAAAGCZq7MLQNZsmNJLvr6+zi4DAJALPRD9X3oEAKfjjAUAAAAAywgWAAAAACwjWAAAAACwjGABAAAAwDKCBQAAAADLCBYAAAAALCNYAAAAALCMYAEAAADAMoIFAAAAAMsIFgAAAAAsI1gAAAAAsIxgAQAAAMAyggUAAAAAywgWAAAAACwjWAAAAACwjGABAAAAwDKCBQAAAADLCBYAAAAALCNYAAAAALDM1dkFIGte/XK7PLyKOLsMAH8xqXsjZ5cASJLiXx2kJA93Z5cBFHhlJ33o7BKcijMWAAAAACwjWAAAAACwjGABAAAAwDKCBQAAAADLCBYAAAAALCNYAAAAALCMYAEAAADAMoIFAAAAAMsIFgAAAAAsI1gAAAAAsIxgAQAAAMAyggUAAAAAywgWAAAAACwjWAAAAACwjGABAAAAwDKCBQAAAADLCBYAAAAALCNYAAAAALCMYAEAAADAMoIFAAAAAMsIFgAAAAAsI1gAAAAAsMw1qwOLFSsmm82WpbFnz551uCAAQN5DjwAAZDlYvPPOO3ewDABAXkaPAABkOVj069fvTtYBAMjD6BEAAIevsYiLi9Mrr7yi3r17648//pAkff311/rll19yrDgAQN5EjwCAgsehYLFx40aFhoZqy5YtWrZsmZKSkiRJO3fu1Pjx43O0QABA3kKPAICCyaFgMWrUKL3++utau3at3N3d7cvbtGmjH3/8MceKAwDkPfQIACiYHAoWu3btUteuXTMsL1WqlBISEiwXBQDIu+gRAFAwORQsihYtqvj4+AzLY2JiVK5cOctFAQDyLnoEABRMDgWLRx99VCNHjtTJkydls9mUlpam6OhoDR8+XH379s3pGgEAeQg9AgAKJoeCxaRJk1S9enUFBgYqKSlJNWvWVMuWLdW0aVO98sorOV0jACAPoUcAQMGU5b9j8Vfu7u6aN2+exo4dq927dyspKUn16tVTlSpVcro+AEAeQ48AgILJoWBxQ4UKFVShQoWcqgUAkI/QIwCgYMlysBg2bFiWdxoREeFQMQCAvIkeAQDIcrCIiYlJ93zHjh1KSUlRtWrVJEn79++Xi4uLGjRo4HAxJ0+e1BtvvKGVK1fqxIkTKlWqlOrWrashQ4aobdu2t91+4cKFGjJkiM6fP59ueevWrbVx40b781KlSqlly5Z6++23VbFiRYfrzY4jR46ocuXKiomJUd26de/KawLA3UKPsIYeASA/yHKwWL9+vf3niIgI+fj4aNGiRSpWrJgk6dy5c3ryySfVokULhwo5cuSImjVrpqJFi+qtt95SaGiorl27pjVr1mjw4MH69ddfHdrvDQMGDNBrr70mY4x+++03DRkyRE888YS+//57S/sFANAjAAAO3hVq2rRpmjx5sr1hSFKxYsX0+uuva9q0aQ4VMmjQINlsNm3dulWPPPKIqlatqnvuuUfDhg2z/6XWiIgIhYaGytvbW4GBgRo0aJCSkpIkSRs2bNCTTz6pCxcuyGazyWazacKECfb9e3l5qUyZMgoICNB9992n559/Xjt27EhXw8aNG9WoUSN5eHgoICBAo0aNUkpKin19cnKy/vnPf6pUqVLy9PRU8+bNtW3bNvv6c+fO6fHHH5e/v78KFy6sKlWqaMGCBZKkypUrS5Lq1asnm82m1q1bO/Q+AUBuR4+gRwAomBwKFomJiTp9+nSG5adPn9bFixezvb+zZ89q9erVGjx4sLy9vTOsL1q0qCSpUKFCeu+99/TLL79o0aJF+u677/Tyyy9Lkpo2bap33nlHvr6+io+PV3x8vIYPH37T1/vss8/UuHFj+7ITJ06oY8eOuvfee7Vz507Nnj1b8+fP1+uvv24f8/LLL2vp0qVatGiRduzYoZCQELVv315nz56VJI0dO1Z79uzR119/rb1792r27NkqWbKkJGnr1q2SpG+//Vbx8fFatmxZtt8nAMgL6BH0CAAFk0N3heratauefPJJTZs2TY0aNZIkbdmyRSNGjFC3bt2yvb+DBw/KGKPq1avfctyQIUPsP1eqVEmvv/66nnvuOc2aNUvu7u7y8/OTzWZTmTJlMmw7a9YsffDBBzLG6PLly6patarWrFmTbn1gYKBmzJghm82m6tWr6/fff9fIkSM1btw4XblyRbNnz9bChQvVoUMHSdK8efO0du1azZ8/XyNGjNDRo0dVr149NWzY0F7jDf7+/pKkEiVKZFrfDcnJyUpOTrY/T0xMvOV7AgC5DT2CHgGgYHLojMWcOXPUoUMHPfbYY6pYsaIqVqyoxx57TP/4xz80a9asbO/PGJOlcd9++63atm2rcuXKycfHR3369NGZM2d0+fLl2277+OOPKzY2Vjt37tQPP/ygkJAQPfDAA/ZPz/bu3asmTZrIZrPZt2nWrJmSkpJ0/PhxxcXF6dq1a2rWrJl9vZubmxo1aqS9e/dKkgYOHKioqCjVrVtXL7/8sjZt2pSdt0GSNHnyZPn5+dkfgYGB2d4HADgTPeI6egSAgsahYOHl5aVZs2bpzJkziomJUUxMjM6ePatZs2Zlepr6dqpUqSKbzXbLi++OHDmiTp06qXbt2lq6dKl++uknzZw5U5J09erV276Gn5+fQkJCFBISombNmmn+/Pk6cOCAPv3002zXezMdOnTQb7/9pqFDh+r3339X27Ztb3qq/WZGjx6tCxcu2B/Hjh3LsfoA4G6gR2SOHgEgv3MoWNzg7e2t4sWLq3jx4g41ixuKFy+u9u3ba+bMmbp06VKG9efPn9dPP/2ktLQ0TZs2Tffdd5+qVq2q33//Pd04d3d3paamZuk1XVxcJElXrlyRJNWoUUObN29O98lYdHS0fHx8VL58eQUHB8vd3V3R0dH29deuXdO2bdtUs2ZN+zJ/f3/169dPH3/8sd555x29//779tok3bY+Dw8P+fr6pnsAQF5Ej6BHAChYHAoWaWlpeu211+Tn52c/zV20aFFNnDhRaWlpDhUyc+ZMpaamqlGjRlq6dKkOHDigvXv36r333lOTJk0UEhKia9euafr06Tp06JD+/e9/a86cOen2UalSJSUlJWndunVKSEhId/r78uXLOnnypE6ePKmdO3dq4MCB8vT01AMPPCDp+h1Hjh07phdeeEG//vqrvvrqK40fP17Dhg1ToUKF5O3trYEDB2rEiBFavXq19uzZowEDBujy5ct66qmnJEnjxo3TV199pYMHD+qXX37RihUrVKNGDUnX74teuHBhrV69WqdOndKFCxccep8AILejR9AjABRMDgWLMWPGaMaMGZoyZYr9NPekSZM0ffp0jR071qFCgoKCtGPHDoWFhemll15SrVq1dP/992vdunWaPXu26tSpo4iICL355puqVauWIiMjNXny5HT7aNq0qZ577jn16tVL/v7+mjp1qn3dvHnzFBAQoICAAIWFhSkhIUGrVq2y//GmcuXKadWqVdq6davq1Kmj5557Tk899ZReeeUV+z6mTJmiRx55RH369FH9+vV18OBBrVmzxn5LRXd3d40ePVq1a9dWy5Yt5eLioqioKEmSq6ur3nvvPc2dO1dly5ZVly5dHHqfACC3o0fQIwAUTDaT1avi/qJs2bKaM2eOHnrooXTLv/rqKw0aNEgnTpzIsQILusTERPn5+WnYonXy8Cri7HIA/MWk7o2cXcIt3Th+XLhw4a5+ZYYecffc+B3/Ouxx+Xi4O7scoMArO+lDZ5eQJXeqPzh0xuLs2bOZ3vavevXq9vt1AwAKJnoEABRMDgWLOnXqaMaMGRmWz5gxQ3Xq1LFcFAAg76JHAEDB5NAfyJs6daoefPBBffvtt2rSpIkkafPmzTp69Ki+/vrrHC0QAJC30CMAoGBy6IxFq1attG/fPnXr1k3nz5/X+fPn1a1bN+3fv18tWrTI6RoBAHkIPQIACiaHzlhIUokSJfTQQw/pvvvus98+cPv27ZKU4YI9AEDBQo8AgILHoWCxevVq9e3bV2fOnNHfbypls9my/AeIAAD5Dz0CAAomh74K9cILL6hHjx76/ffflZaWlu5BwwCAgo0eAQAFk0PB4tSpUxo2bJhKly6d0/UAAPI4egQAFEwOBYvu3btrw4YNOVwKACA/oEcAQMHk0DUWM2bMUI8ePfT9998rNDRUbm5u6db/85//zJHiAAB5Dz0CAAomh4LF4sWL9c0338jT01MbNmyQzWazr7PZbDQNACjA6BEAUDA5FCzGjBmjV199VaNGjVKhQg59mwoAkE/RIwCgYHLoiH/16lX16tWLhgEAyIAeAQAFk0NH/X79+unTTz/N6VoAAPkAPQIACiaHvgqVmpqqqVOnas2aNapdu3aGC/MiIiJypDgAQN5DjwCAgsmhYLFr1y7Vq1dPkrR79+506/56kR4AoOChRwBAweRQsFi/fn1O1wEAyCfoEQBQMHFlHQAAAADLCBYAAAAALCNYAAAAALCMYAEAAADAMoIFAAAAAMsIFgAAAAAsI1gAAAAAsIxgAQAAAMAyggUAAAAAywgWAAAAACwjWAAAAACwjGABAAAAwDKCBQAAAADLCBYAAAAALCNYAAAAALCMYAEAAADAMoIFAAAAAMtcnV0Asmb8ww3l6+vr7DIAALlQwPhZ9AgATscZCwAAAACWESwAAAAAWEawAAAAAGAZwQIAAACAZQQLAAAAAJYRLAAAAABYRrAAAAAAYBnBAgAAAIBlBAsAAAAAlhEsAAAAAFhGsAAAAABgGcECAAAAgGUECwAAAACWESwAAAAAWEawAAAAAGAZwQIAAACAZQQLAAAAAJYRLAAAAABYRrAAAAAAYJmrswtA1sTEJaiIT7KzywDwFw1C/J1dAiBJSoxeLnl7ObsMoMDzbdnN2SU4FWcsAAAAAFhGsAAAAABgGcECAAAAgGUECwAAAACWESwAAAAAWEawAAAAAGAZwQIAAACAZQQLAAAAAJYRLAAAAABYRrAAAAAAYBnBAgAAAIBlBAsAAAAAlhEsAAAAAFhGsAAAAABgGcECAAAAgGUECwAAAACWESwAAAAAWEawAAAAAGAZwQIAAACAZQQLAAAAAJYRLAAAAABYRrAAAAAAYBnBAgAAAIBlBAsAAAAAlhEsAAAAAFhGsAAAAABgGcECAAAAgGUECwAAAACWESwAAAAAWEawAAAAAGAZwQIAAACAZQQLAAAAAJYRLAAAAABYRrAAAAAAYFm+ChYbNmyQzWbT+fPns7zNhAkTVLdu3TtW09+1bt1aQ4YMuWuvBwC4jh4BAHeW04LFnDlz5OPjo5SUFPuypKQkubm5qXXr1unG3mgGcXFxt9xn06ZNFR8fLz8/vxytlQM9ANxd9AgAyHucFizCwsKUlJSk7du325d9//33KlOmjLZs2aI///zTvnz9+vWqUKGCgoODb7lPd3d3lSlTRjab7Y7VDQC48+gRAJD3OC1YVKtWTQEBAdqwYYN92YYNG9SlSxdVrlxZP/74Y7rlYWFhSktL0+TJk1W5cmUVLlxYderU0ZIlS9KN+/tp7nnz5ikwMFBeXl7q2rWrIiIiVLRo0Qz1/Pvf/1alSpXk5+enRx99VBcvXpQkhYeHa+PGjXr33Xdls9lks9l05MgRSdLu3bvVoUMHFSlSRKVLl1afPn2UkJBg3+elS5fUt29fFSlSRAEBAZo2bVrOvHkAkM/RIwAg73HqNRZhYWFav369/fn69evVunVrtWrVyr78ypUr2rJli8LCwjR58mR99NFHmjNnjn755RcNHTpUTzzxhDZu3Jjp/qOjo/Xcc8/pxRdfVGxsrO6//3698cYbGcbFxcXpyy+/1IoVK7RixQpt3LhRU6ZMkSS9++67atKkiQYMGKD4+HjFx8crMDBQ58+fV5s2bVSvXj1t375dq1ev1qlTp9SzZ0/7fkeMGKGNGzfqq6++0jfffKMNGzZox44dOfkWAkC+RY8AgLzF1ZkvHhYWpiFDhiglJUVXrlxRTEyMWrVqpWvXrmnOnDmSpM2bNys5OVmtW7dWzZo19e2336pJkyaSpKCgIP3www+aO3euWrVqlWH/06dPV4cOHTR8+HBJUtWqVbVp0yatWLEi3bi0tDQtXLhQPj4+kqQ+ffpo3bp1euONN+Tn5yd3d3d5eXmpTJky9m1mzJihevXqadKkSfZlH374oQIDA7V//36VLVtW8+fP18cff6y2bdtKkhYtWqTy5cvf8j1JTk5WcnKy/XliYmKW308AyE/oERnRIwDkZk4NFq1bt9alS5e0bds2nTt3TlWrVpW/v79atWqlJ598Un/++ac2bNigoKAgJSUl6fLly7r//vvT7ePq1auqV69epvvft2+funbtmm5Zo0aNMjSNSpUq2RuGJAUEBOiPP/64Ze07d+7U+vXrVaRIkQzr4uLidOXKFV29elWNGze2Ly9evLiqVat2y/1OnjxZr7766i3HAEBBQI/IiB4BIDdzarAICQlR+fLltX79ep07d87+iVLZsmUVGBioTZs2af369WrTpo2SkpIkSStXrlS5cuXS7cfDw8NSHW5ubume22w2paWl3XKbpKQkde7cWW+++WaGdQEBATp48KBDtYwePVrDhg2zP09MTFRgYKBD+wKAvIwekRE9AkBu5tRgIV0/1b1hwwadO3dOI0aMsC9v2bKlvv76a23dulUDBw5UzZo15eHhoaNHj2Z6Sjsz1apV07Zt29It+/vzrHB3d1dqamq6ZfXr19fSpUtVqVIlubpmfBuDg4Pl5uamLVu2qEKFCpKkc+fOaf/+/bes38PDw3ITBID8gh6RHj0CQG7m9D+QFxYWph9++EGxsbHpDqatWrXS3LlzdfXqVYWFhcnHx0fDhw/X0KFDtWjRIsXFxWnHjh2aPn26Fi1alOm+X3jhBa1atUoRERE6cOCA5s6dq6+//jrbtxqsVKmStmzZoiNHjighIUFpaWkaPHiwzp49q969e2vbtm2Ki4vTmjVr9OSTTyo1NVVFihTRU089pREjRui7777T7t27FR4erkKFnP6WA0CeQY8AgLzD6UewsLAwXblyRSEhISpdurR9eatWrXTx4kX7LQclaeLEiRo7dqwmT56sGjVq6B//+IdWrlypypUrZ7rvZs2aac6cOYqIiFCdOnW0evVqDR06VJ6entmqcfjw4XJxcVHNmjXl7++vo0ePqmzZsoqOjlZqaqoeeOABhYaGasiQISpatKi9Mbz11ltq0aKFOnfurHbt2ql58+Zq0KCBg+8UABQ89AgAyDtsxhjj7CLupgEDBujXX3/V999/7+xSsiQxMVF+fn7asCNORf5y8SAA52sQ4u/sEm7pxvHjwoUL8vX1dXY5eUJe7RHHVv1bvt5ezi4HKPB8W3ZzdglZcqf6g9OvsbjT3n77bd1///3y9vbW119/rUWLFmnWrFnOLgsAkAvQIwAg5+T7YLF161ZNnTpVFy9eVFBQkN577z09/fTTzi4LAJAL0CMAIOfk+2Dx2WefObsEAEAuRY8AgJzj9Iu3AQAAAOR9BAsAAAAAlhEsAAAAAFhGsAAAAABgGcECAAAAgGUECwAAAACWESwAAAAAWEawAAAAAGAZwQIAAACAZQQLAAAAAJYRLAAAAABYRrAAAAAAYBnBAgAAAIBlBAsAAAAAlhEsAAAAAFhGsAAAAABgGcECAAAAgGUECwAAAACWESwAAAAAWEawAAAAAGAZwQIAAACAZQQLAAAAAJYRLAAAAABYRrAAAAAAYBnBAgAAAIBlBAsAAAAAlhEsAAAAAFhGsAAAAABgGcECAAAAgGUECwAAAACWESwAAAAAWEawAAAAAGCZq7MLQNbUCy4pX19fZ5cBAMiFfJs9RI8A4HScsQAAAABgGcECAAAAgGUECwAAAACWESwAAAAAWEawAAAAAGAZwQIAAACAZQQLAAAAAJYRLAAAAABYxh/Iy+WMMZKkxMREJ1cCIK+5cdy4cRxB/kOPAOCIO9UfCBa53JkzZyRJgYGBTq4EQF515swZ+fn5ObsM3AH0CABW5HR/IFjkcsWLF5ckHT16NF/9wyAxMVGBgYE6duyYfH19nV1Ojsqvc2Neec+FCxdUoUIF+3EE+Q89Im9hXnlPfp3bneoPBItcrlCh65fB+Pn55av/oG/w9fXNl/OS8u/cmFfec+M4gvyHHpE3Ma+8J7/OLaf7A90GAAAAgGUECwAAAACWESxyOQ8PD40fP14eHh7OLiVH5dd5Sfl3bswr78nPc8N1+fV3zLzylvw6Lyn/zu1OzctmuA8hAAAAAIs4YwEAAADAMoIFAAAAAMsIFgAAAAAsI1jkAjNnzlSlSpXk6empxo0ba+vWrbcc//nnn6t69ery9PRUaGioVq1adZcqzZ7szGvevHlq0aKFihUrpmLFiqldu3a3fR+cKbu/sxuioqJks9n08MMP39kCHZTdeZ0/f16DBw9WQECAPDw8VLVq1Vz532N25/XOO++oWrVqKly4sAIDAzV06FD9+eefd6narPnvf/+rzp07q2zZsrLZbPryyy9vu82GDRtUv359eXh4KCQkRAsXLrzjdcI6ekTe6hH0h+vySn+Q6BE35EiPMHCqqKgo4+7ubj788EPzyy+/mAEDBpiiRYuaU6dOZTo+OjrauLi4mKlTp5o9e/aYV155xbi5uZldu3bd5cpvLbvzeuyxx8zMmTNNTEyM2bt3rwkPDzd+fn7m+PHjd7ny28vu3G44fPiwKVeunGnRooXp0qXL3Sk2G7I7r+TkZNOwYUPTsWNH88MPP5jDhw+bDRs2mNjY2Ltc+a1ld16RkZHGw8PDREZGmsOHD5s1a9aYgIAAM3To0Ltc+a2tWrXKjBkzxixbtsxIMl988cUtxx86dMh4eXmZYcOGmT179pjp06cbFxcXs3r16rtTMBxCj7gur/QI+sN1eaU/GEOPuCGnegTBwskaNWpkBg8ebH+emppqypYtayZPnpzp+J49e5oHH3ww3bLGjRubZ5999o7WmV3ZndffpaSkGB8fH7No0aI7VaLDHJlbSkqKadq0qfnggw9Mv379cmXjyO68Zs+ebYKCgszVq1fvVokOye68Bg8ebNq0aZNu2bBhw0yzZs3uaJ1WZKVpvPzyy+aee+5Jt6xXr16mffv2d7AyWEWPyFxu7RH0h+vySn8whh5xQ071CL4K5URXr17VTz/9pHbt2tmXFSpUSO3atdPmzZsz3Wbz5s3pxktS+/btbzreGRyZ199dvnxZ165dU/Hixe9UmQ5xdG6vvfaaSpUqpaeeeupulJltjsxr+fLlatKkiQYPHqzSpUurVq1amjRpklJTU+9W2bflyLyaNm2qn376yX4q/NChQ1q1apU6dux4V2q+U/LCsQPp0SNuLjf2CPrD/+SF/iDRI/4qp44drjlZFLInISFBqampKl26dLrlpUuX1q+//prpNidPnsx0/MmTJ+9YndnlyLz+buTIkSpbtmyG/8idzZG5/fDDD5o/f75iY2PvQoWOcWRehw4d0nfffafHH39cq1at0sGDBzVo0CBdu3ZN48ePvxtl35Yj83rssceUkJCg5s2byxijlJQUPffcc/p//+//3Y2S75ibHTsSExN15coVFS5c2EmV4WboETeXG3sE/eF/8kJ/kOgRf5VTPYIzFsh1pkyZoqioKH3xxRfy9PR0djmWXLx4UX369NG8efNUsmRJZ5eTo9LS0lSqVCm9//77atCggXr16qUxY8Zozpw5zi7Nkg0bNmjSpEmaNWuWduzYoWXLlmnlypWaOHGis0sDoPzTI+gPeRM94tY4Y+FEJUuWlIuLi06dOpVu+alTp1SmTJlMtylTpky2xjuDI/O64e2339aUKVP07bffqnbt2neyTIdkd25xcXE6cuSIOnfubF+WlpYmSXJ1ddW+ffsUHBx8Z4vOAkd+ZwEBAXJzc5OLi4t9WY0aNXTy5EldvXpV7u7ud7TmrHBkXmPHjlWfPn309NNPS5JCQ0N16dIlPfPMMxozZowKFcqbn8fc7Njh6+vL2Ypcih6RUW7uEfSH/8kL/UGiR/xVTvWIvDn7fMLd3V0NGjTQunXr7MvS0tK0bt06NWnSJNNtmjRpkm68JK1du/am453BkXlJ0tSpUzVx4kStXr1aDRs2vBulZlt251a9enXt2rVLsbGx9sdDDz2ksLAwxcbGKjAw8G6Wf1OO/M6aNWumgwcP2huhJO3fv18BAQG5pmk4Mq/Lly9naAw3muP1a+Dyprxw7EB69Ij0cnuPoD/8T17oDxI94q9y7NiRrUu9keOioqKMh4eHWbhwodmzZ4955plnTNGiRc3JkyeNMcb06dPHjBo1yj4+OjrauLq6mrffftvs3bvXjB8/PtfeSjA785oyZYpxd3c3S5YsMfHx8fbHxYsXnTWFm8ru3P4ut971I7vzOnr0qPHx8THPP/+82bdvn1mxYoUpVaqUef311501hUxld17jx483Pj4+ZvHixebQoUPmm2++McHBwaZnz57OmkKmLl68aGJiYkxMTIyRZCIiIkxMTIz57bffjDHGjBo1yvTp08c+/satBEeMGGH27t1rZs6cye1m8wB6xHV5pUfQH67LK/3BGHrEDTnVIwgWucD06dNNhQoVjLu7u2nUqJH58ccf7etatWpl+vXrl278Z599ZqpWrWrc3d3NPffcY1auXHmXK86a7MyrYsWKRlKGx/jx4+9+4VmQ3d/ZX+XWxmFM9ue1adMm07hxY+Ph4WGCgoLMG2+8YVJSUu5y1beXnXldu3bNTJgwwQQHBxtPT08TGBhoBg0aZM6dO3f3C7+F9evXZ/r/zI259OvXz7Rq1SrDNnXr1jXu7u4mKCjILFiw4K7XjeyjR+StHkF/uC6v9Adj6BF/3cZqj7AZk4fP2wAAAADIFbjGAgAAAIBlBAsAAAAAlhEsAAAAAFhGsAAAAABgGcECAAAAgGUECwAAAACWESwAAAAAWEawAAAAAGAZwQIAAACaMGGC6tata38eHh6uhx9+2Gn1IO8hWAAAAACwjGAB5FPXrl1zdgkAgBxy9epVZ5cA3BbBAsghq1evVvPmzVW0aFGVKFFCnTp1UlxcnH398ePH1bt3bxUvXlze3t5q2LChtmzZYl//n//8R/fee688PT1VsmRJde3a1b7OZrPpyy+/TPd6RYsW1cKFCyVJR44ckc1m06effqpWrVrJ09NTkZGROnPmjHr37q1y5crJy8tLoaGhWrx4cbr9pKWlaerUqQoJCZGHh4cqVKigN954Q5LUpk0bPf/88+nGnz59Wu7u7lq3bl1OvG0AgEy0bt1azz//vIYMGaKSJUuqffv22r17tzp06KAiRYqodOnS6tOnjxISEuzb3Op4LkkjR45U1apV5eXlpaCgII0dO5YPoZCjCBZADrl06ZKGDRum7du3a926dSpUqJC6du2qtLQ0JSUlqVWrVjpx4oSWL1+unTt36uWXX1ZaWpokaeXKleratas6duyomJgYrVu3To0aNcp2DaNGjdKLL76ovXv3qn379vrzzz/VoEEDrVy5Urt379YzzzyjPn36aOvWrfZtRo8erSlTpmjs2LHas2ePPvnkE5UuXVqS9PTTT+uTTz5RcnKyffzHH3+scuXKqU2bNhbfMQDArSxatEju7u6Kjo7WlClT1KZNG9WrV0/bt2/X6tWrderUKfXs2dM+/lbHc0ny8fHRwoULtWfPHr377ruaN2+e/vWvfzljasivDIA74vTp00aS2bVrl5k7d67x8fExZ86cyXRskyZNzOOPP37TfUkyX3zxRbplfn5+ZsGCBcYYYw4fPmwkmXfeeee2dT344IPmpZdeMsYYk5iYaDw8PMy8efMyHXvlyhVTrFgx8+mnn9qX1a5d20yYMOG2rwMAcFyrVq1MvXr17M8nTpxoHnjggXRjjh07ZiSZffv23fZ4npm33nrLNGjQwP58/Pjxpk6dOvbn/fr1M126dHF4Dih4XJ0ba4D848CBAxo3bpy2bNmihIQE+9mIo0ePKjY2VvXq1VPx4sUz3TY2NlYDBgywXEPDhg3TPU9NTdWkSZP02Wef6cSJE7p69aqSk5Pl5eUlSdq7d6+Sk5PVtm3bTPfn6empPn366MMPP1TPnj21Y8cO7d69W8uXL7dcKwDg1ho0aGD/eefOnVq/fr2KFCmSYVxcXJzOnz9/y+O5JH366ad67733FBcXp6SkJKWkpMjX1/eO1I6CiWAB5JDOnTurYsWKmjdvnsqWLau0tDTVqlVLV69eVeHChW+57e3W22w2GWPSLcvse7He3t7pnr/11lt699139c477yg0NFTe3t4aMmSI/SLA272udP3rUHXr1tXx48e1YMECtWnTRhUrVrztdgAAa/56TE9KSlLnzp315ptvZhgXEBCgQ4cO3XJfmzdv1uOPP65XX31V7du3l5+fn6KiojRt2rQcrxsFF9dYADngzJkz2rdvn1555RW1bdtWNWrU0Llz5+zra9eurdjYWJ09ezbT7WvXrn3Li6H9/f0VHx9vf37gwAFdvnz5tnVFR0erS5cueuKJJ1SnTh0FBQVp//799vVVqlRR4cKFb/naoaGhatiwoebNm6dPPvlE/fv3v+3rAgByVv369fXLL7+oUqVKCgkJSffw9va+7fF806ZNqlixosaMGaOGDRuqSpUq+u233+7yLJDfESyAHFCsWDGVKFFC77//vg4ePKjvvvtOw4YNs6/v3bu3ypQpo4cffljR0dE6dOiQli5dqs2bN0uSxo8fr8WLF2v8+PHau3evdu3ale5TqTZt2mjGjBmKiYnR9u3b9dxzz8nNze22dVWpUkVr167Vpk2btHfvXj377LM6deqUfb2np6dGjhypl19+WR999JHi4uL0448/av78+en28/TTT2vKlCkyxqS7WxUA4O4YPHiwzp49q969e2vbtm2Ki4vTmjVr9OSTTyo1NfW2x/MqVaro6NGjioqKUlxcnN577z198cUXTp4V8huCBZADChUqpKioKP3000+qVauWhg4dqrfeesu+3t3dXd98841KlSqljh07KjQ0VFOmTJGLi4uk67cV/Pzzz7V8+XLVrVtXbdq0SXfnpmnTpikwMFAtWrTQY489puHDh9uvk7iVV155RfXr11f79u3VunVre7j5q7Fjx+qll17SuHHjVKNGDfXq1Ut//PFHujG9e/eWq6urevfuLU9PTwvvFADAEWXLllV0dLRSU1P1wAMPKDQ0VEOGDFHRokVVqND1f87d6nj+0EMPaejQoXr++edVt25dbdq0SWPHjnXmlJAP2czfv7gNAH9z5MgRBQcHa9u2bapfv76zywEAALkQwQLATV27dk1nzpzR8OHDdfjwYUVHRzu7JAAAkEvxVSgANxUdHa2AgABt27ZNc+bMcXY5AAAgF+OMBQAAAADLOGMBAAAAwDKCBQAAAADLCBYAAAAALCNYAAAAALCMYAEAAADAMoIFAAAAAMsIFgAAAAAsI1gAAAAAsIxgAQAAAMCy/w+YJEuaKztayAAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saved comparison bars to: /content/model_results/acc_recall_comparison.png\n",
            "Saved ensemble weights to: /content/model_results/ensemble_weights.pkl\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell 1 — Accuracy and detailed metrics for Weighted Ensemble\n",
        "from sklearn.metrics import confusion_matrix, classification_report\n",
        "\n",
        "# assuming you already have y_test and pred_weighted from before\n",
        "accuracy = accuracy_score(y_test, pred_weighted)\n",
        "precision = precision_score(y_test, pred_weighted)\n",
        "recall = recall_score(y_test, pred_weighted)\n",
        "f1 = f1_score(y_test, pred_weighted)\n",
        "roc_auc = roc_auc_score(y_test, p_weighted)\n",
        "specificity = confusion_matrix(y_test, pred_weighted)[0,0] / (confusion_matrix(y_test, pred_weighted)[0,0] + confusion_matrix(y_test, pred_weighted)[0,1])\n",
        "\n",
        "print(\"=== Weighted Ensemble Model Metrics ===\")\n",
        "print(f\"Accuracy      : {accuracy:.4f}\")\n",
        "print(f\"Precision     : {precision:.4f}\")\n",
        "print(f\"Recall (Sens) : {recall:.4f}\")\n",
        "print(f\"Specificity   : {specificity:.4f}\")\n",
        "print(f\"F1-Score      : {f1:.4f}\")\n",
        "print(f\"ROC-AUC       : {roc_auc:.4f}\")\n",
        "\n",
        "# Detailed class-wise report (for report appendix)\n",
        "print(\"\\nClassification Report:\")\n",
        "print(classification_report(y_test, pred_weighted, digits=4))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2BnGqJ29Mk38",
        "outputId": "e3e291a6-b1df-46f2-c8a1-c22d104c7025"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "=== Weighted Ensemble Model Metrics ===\n",
            "Accuracy      : 0.8491\n",
            "Precision     : 0.8552\n",
            "Recall (Sens) : 0.8402\n",
            "Specificity   : 0.8579\n",
            "F1-Score      : 0.8476\n",
            "ROC-AUC       : 0.9244\n",
            "\n",
            "Classification Report:\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0     0.8431    0.8579    0.8505      7004\n",
            "           1     0.8552    0.8402    0.8476      6996\n",
            "\n",
            "    accuracy                         0.8491     14000\n",
            "   macro avg     0.8492    0.8491    0.8491     14000\n",
            "weighted avg     0.8492    0.8491    0.8491     14000\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell 2 — Confusion Matrix for Weighted Ensemble\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import numpy as np\n",
        "from sklearn.metrics import confusion_matrix\n",
        "\n",
        "cm = confusion_matrix(y_test, pred_weighted)\n",
        "plt.figure(figsize=(5,4))\n",
        "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues', cbar=False,\n",
        "            xticklabels=['Pred 0 (Healthy)', 'Pred 1 (Risk)'],\n",
        "            yticklabels=['True 0 (Healthy)', 'True 1 (Risk)'])\n",
        "plt.xlabel('Predicted Label')\n",
        "plt.ylabel('True Label')\n",
        "plt.title(f\"Confusion Matrix — Weighted Ensemble\\nAccuracy = {accuracy:.3f}, Recall = {recall:.3f}\")\n",
        "plt.tight_layout()\n",
        "cm_path = os.path.join(RESULTS_DIR, \"confusion_matrix_weighted.png\")\n",
        "plt.savefig(cm_path, dpi=200, bbox_inches='tight')\n",
        "plt.show()\n",
        "print(\"Saved confusion matrix to:\", cm_path)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "CtGLdo_vMqcv",
        "outputId": "41e9529d-4ee5-4103-e1dd-490173d5d335"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saved confusion matrix to: /content/model_results/confusion_matrix_weighted.png\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell 1 - load metric table and holdout probs robustly\n",
        "import os, pandas as pd, numpy as np, joblib\n",
        "\n",
        "RESULTS_DIR = \"/content/model_results\"  # change if needed\n",
        "# Try alternate path\n",
        "if not os.path.exists(RESULTS_DIR):\n",
        "    RESULTS_DIR = \"/mnt/data/model_results\" if os.path.exists(\"/mnt/data/model_results\") else \".\"\n",
        "\n",
        "# load model metrics if present\n",
        "metrics_csv = os.path.join(RESULTS_DIR, \"model_metrics_summary.csv\")\n",
        "if os.path.exists(metrics_csv):\n",
        "    metrics_df = pd.read_csv(metrics_csv)\n",
        "else:\n",
        "    # try other names\n",
        "    candidates = [f for f in os.listdir(RESULTS_DIR) if \"metrics\" in f.lower() or \"model\" in f.lower()]\n",
        "    metrics_df = pd.read_csv(os.path.join(RESULTS_DIR, candidates[0])) if candidates else pd.DataFrame()\n",
        "print(\"Loaded metrics_df shape:\", metrics_df.shape)\n",
        "\n",
        "# Load holdout probabilities (ensemble_predictions_weighted.csv or holdout_base_probs.csv)\n",
        "holdout_paths = [\n",
        "    os.path.join(RESULTS_DIR, \"ensemble_predictions_weighted.csv\"),\n",
        "    os.path.join(RESULTS_DIR, \"holdout_base_probs.csv\"),\n",
        "    os.path.join(RESULTS_DIR, \"holdout_meta_preds.csv\")\n",
        "]\n",
        "hold = None\n",
        "for p in holdout_paths:\n",
        "    if os.path.exists(p):\n",
        "        hold = pd.read_csv(p)\n",
        "        print(\"Loaded holdout probs from:\", p)\n",
        "        break\n",
        "\n",
        "if hold is None:\n",
        "    raise FileNotFoundError(f\"No holdout predictions CSV found in {RESULTS_DIR}. Expected one of: {holdout_paths}\")\n",
        "\n",
        "# normalize column names to expected forms\n",
        "cols = [c.lower() for c in hold.columns]\n",
        "# try to detect y_test and probs\n",
        "y_col = next((c for c in hold.columns if 'y' in c.lower() and 'test' in c.lower()) , None)\n",
        "if y_col is None:\n",
        "    # fallback heuristics\n",
        "    y_col = next((c for c in hold.columns if c.lower() in ['y_test','ytrue','target','label','true']), None)\n",
        "p_xgb_col = next((c for c in hold.columns if 'xgb' in c.lower() and 'p' in c.lower()), None)\n",
        "p_cat_col = next((c for c in hold.columns if 'cat' in c.lower() and 'p' in c.lower()), None)\n",
        "p_weight_col = next((c for c in hold.columns if 'weighted' in c.lower() or 'ensemble' in c.lower()), None)\n",
        "\n",
        "# If p_weight missing but p_xgb and p_cat present, compute it\n",
        "if p_weight_col is None and p_xgb_col and p_cat_col:\n",
        "    hold['p_weighted'] = 0.5 * hold[p_xgb_col] + 0.5 * hold[p_cat_col]\n",
        "    p_weight_col = 'p_weighted'\n",
        "\n",
        "print(\"Detected columns -> y:\", y_col, \"p_xgb:\", p_xgb_col, \"p_cat:\", p_cat_col, \"p_weighted:\", p_weight_col)\n",
        "y_test = hold[y_col].values if y_col else None\n",
        "p_xgb = hold[p_xgb_col].values if p_xgb_col else None\n",
        "p_cat = hold[p_cat_col].values if p_cat_col else None\n",
        "p_weight = hold[p_weight_col].values if p_weight_col else None"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-y-GlsqhOiaR",
        "outputId": "3bebb8cf-60f2-460a-b34a-55410a5fcadd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Loaded metrics_df shape: (6, 7)\n",
            "Loaded holdout probs from: /content/model_results/ensemble_predictions_weighted.csv\n",
            "Detected columns -> y: y_test p_xgb: p_xgb p_cat: p_cat p_weighted: p_weighted\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell 2 - ROC overlay and save png\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.metrics import roc_curve, roc_auc_score\n",
        "\n",
        "plt.figure(figsize=(7,6))\n",
        "if p_xgb is not None:\n",
        "    fpr, tpr, _ = roc_curve(y_test, p_xgb); auc_x = roc_auc_score(y_test, p_xgb)\n",
        "    plt.plot(fpr, tpr, label=f\"XGBoost (AUC={auc_x:.3f})\")\n",
        "if p_cat is not None:\n",
        "    fpr, tpr, _ = roc_curve(y_test, p_cat); auc_c = roc_auc_score(y_test, p_cat)\n",
        "    plt.plot(fpr, tpr, label=f\"CatBoost (AUC={auc_c:.3f})\")\n",
        "if p_weight is not None:\n",
        "    fpr, tpr, _ = roc_curve(y_test, p_weight); auc_w = roc_auc_score(y_test, p_weight)\n",
        "    plt.plot(fpr, tpr, '--', label=f\"Weighted (AUC={auc_w:.3f})\")\n",
        "\n",
        "plt.plot([0,1],[0,1],'k--', alpha=0.4)\n",
        "plt.xlabel(\"False Positive Rate\")\n",
        "plt.ylabel(\"True Positive Rate\")\n",
        "plt.title(\"ROC Curve - Model Comparison\")\n",
        "plt.legend(loc='lower right')\n",
        "out = os.path.join(RESULTS_DIR, \"roc_overlay_all_models.png\")\n",
        "plt.savefig(out, dpi=200, bbox_inches='tight')\n",
        "plt.show()\n",
        "print(\"Saved ROC overlay to:\", out)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 581
        },
        "id": "Imp5eDqyOk7G",
        "outputId": "8af389d5-5851-4217-e4f9-747db3635225"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 700x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saved ROC overlay to: /content/model_results/roc_overlay_all_models.png\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell 3 - performance bar chart & save png\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_auc_score\n",
        "\n",
        "rows = []\n",
        "# helper to safely compute metrics if prob available\n",
        "def safe_metrics(name, probs):\n",
        "    if probs is None:\n",
        "        return None\n",
        "    preds = (np.array(probs) >= 0.5).astype(int)\n",
        "    return {\n",
        "        \"model\": name,\n",
        "        \"accuracy\": accuracy_score(y_test, preds),\n",
        "        \"precision\": precision_score(y_test, preds),\n",
        "        \"recall\": recall_score(y_test, preds),\n",
        "        \"f1\": f1_score(y_test, preds),\n",
        "        \"roc_auc\": roc_auc_score(y_test, probs)\n",
        "    }\n",
        "\n",
        "for name, probs in [(\"XGBoost\", p_xgb), (\"CatBoost\", p_cat), (\"Weighted\", p_weight)]:\n",
        "    m = safe_metrics(name, probs)\n",
        "    if m:\n",
        "        rows.append(m)\n",
        "\n",
        "perf_df = pd.DataFrame(rows)\n",
        "perf_df = perf_df.melt(id_vars='model', var_name='metric', value_name='score')\n",
        "plt.figure(figsize=(10,5))\n",
        "sns.barplot(data=perf_df, x='score', y='metric', hue='model', orient='h')\n",
        "plt.title(\"Model Performance Comparison (higher is better)\")\n",
        "plt.xlim(0,1)\n",
        "plt.legend(bbox_to_anchor=(1.02,1), loc='upper left')\n",
        "out2 = os.path.join(RESULTS_DIR, \"model_performance_comparison.png\")\n",
        "plt.savefig(out2, dpi=200, bbox_inches='tight')\n",
        "plt.show()\n",
        "print(\"Saved performance comparison to:\", out2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 470
        },
        "id": "mEu73_EdOquw",
        "outputId": "2236d33b-4877-45c0-d83c-32d8e77b4c7b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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yclLVqlVtnqawZMkS5c+fX7169UpVZ8qQ7R9++EHe3t567rnnbPZr5cqV5eHhkeZ+TZEy/DqtywDSktFjMUWDBg1sRnek7MuWLVvarDOl/c4nSTg6Ouqdd96xvnZyctI777yjc+fOaceOHZIkBwcH6zfIycnJunTpkm7duqUqVaqkeRy3bNky3W+7U7i6usrJyUnh4eHpXlKR2WMuI+93Wi5duiTDMJQ3b950+3Tt2tXmde3ate+63KSkJK1bt04tWrSwuWFniRIl0h2V0LBhQ5vLEcqVKycvLy/rerLyudKuXTubv5nMyJMnj7Zu3apTp05laf6U0SkpUv7GUj5Hly5dquTkZIWGhtpsi6+vr4KDg+/6d3UvkZGROnTokN544w1dvHjRuuyrV6+qQYMG+u9//5tqdMqd7/Ht8ubNm6PvJQMADxOXAwCwGx8fHzVs2FALFy7UtWvXlJSUZL2h3p3++ecfFSpUKNWJWqlSpazTU/6bK1euVNcNP/nkkzavz58/rytXrmjOnDnpPl4v5eZ7mTV8+HDVrl1bDg4Oyp8/v0qVKmU9cT506JCk/79PwJ28vLxsXjs6OqpIkSIZWm/KPrhzW52cnFS8eHHr9BSFCxdOd+jxncPiUwIBf3//NNtvP0n866+/9MEHH2jDhg2prm+OiYmxeV2kSJFU117nzZtX//vf/6yvo6Ki9OSTT971ruiHDh1STEyMChQokOb0u72XKfs8Li4u3T63y+ixmOJ+9qUkFSpUyHoDtBQlS5aU9O81/s8++6wkaf78+Zo0aZIOHDigmzdvWvsWK1Ys1Tak1XYnZ2dnffzxx+rfv78KFiyoZ599Vi+++KLatm0rX19fm23N6DGXkff7bow77rmQwsXFJVWokTdv3rveD+LcuXO6fv16mk/XSO+JG2ldLnL7erLyuZKR9yI948ePV7t27eTv76/KlSuradOmatu2bYZvjhccHGzzOigoSLly5bLe8+HQoUMyDCNVvxT38ySJlM/Cdu3apdsnJibGJvi5274yDCPd+zgAAGwRAgCwqzfeeENdunTRmTNn1KRJk2y92/3dpHzD9NZbb6X7j9CU6+wzq2zZstYbVaW33q+//tp6InW7O090nZ2d071T+P2627eP6T2CLb32lJOzK1euqG7duvLy8tKHH36ooKAgubi4aOfOnRo0aFCqb/butbyMSk5OVoECBfTtt9+mOf1u33qXKFFCjo6O1pv1Zbes7svM+Oabb9S+fXu1aNFC7733ngoUKCAHBweNHTvW5uaJKTL6zXOfPn3UrFkzLVu2TGvWrNGwYcM0duxYbdiwQRUrVsx0nVnd5nz58slisaR7Up/VRwZm1r3qz8rnSlZHAUj/jqaqXbu2fvrpJ/3666+aMGGCPv74Yy1duvSe91hIy50n0cnJybJYLPrll1/S3HYPD48s156yryZMmJDuowPvXP7d9tXly5eVP3/+LNcDAGZCCADArl5++WW98847+uOPP/Tdd9+l2y8gIEDr1q1TXFyczTewKcPLAwICrP9NTk62fnuc4uDBgzbLS3lyQFJSUron7A9CygiFAgUKZPt6U/bBwYMHbb4JTExMVHR09EPZzvDwcF28eFFLly5VnTp1rO23Pxkhs4KCgrR161bdvHkz3W8eg4KCtG7dOtWsWTPTJ1Vubm6qX7++NmzYoOPHj6f6hv5OGT0Ws8upU6dsHocmSX///bckWS8z+PHHH1W8eHEtXbrU5kQu5SkS9yMoKEj9+/dX//79dejQIVWoUEGTJk3SN99889COOUdHRwUFBd3XcXSnAgUKyMXFRYcPH041La22jLDH54qfn5+6d++u7t2769y5c6pUqZJGjx6doRDg0KFDNt+uHz58WMnJydbjKigoSIZhqFixYtbRJ+lJ71v49NpTPgu9vLyyZV9FR0erfPny970cADAD7gkAwK48PDw0a9YsjRgxQs2aNUu3X9OmTZWUlKTp06fbtH/66aeyWCzWf/Cm/PfOpwtMnjzZ5rWDg4NatmypJUuWpPn89/Pnz2dlc+6pcePG8vLy0pgxY2yGbGfHehs2bCgnJydNnTrV5pvVuXPnKiYmJs0nJGS3lG8Lb19/YmKiZs6cmeVltmzZUhcuXEj13t++ntDQUCUlJWnUqFGp+ty6dSvV4+ruFBYWJsMw1KZNG8XHx6eavmPHDs2fP19Sxo/F7HLr1i3Nnj3b+joxMVGzZ8+Wj4+PKleuLCnt/b5161Zt2bIly+u9du1aqsfFBQUFydPTUwkJCZIe7jFXvXp1bd++PduW5+DgoIYNG2rZsmU219QfPnw41X0dMrPMh/W5kpSUlOrymgIFCqhQoULW9+deZsyYYfN62rRpkv7/c/SVV16Rg4ODRo4cmWq0hmEYunjxovW1u7t7qnpS2iWl+husXLmygoKCNHHixDT/5jKzr2JiYhQVFWV96gAA4O4YCQDA7u52TWiKZs2aqV69eho6dKiOHj2q8uXL69dff9Xy5cvVp08f67dKFSpUUOvWrTVz5kzFxMSoRo0aWr9+fZrf7I0bN04bN25UtWrV1KVLF5UuXVqXLl3Szp07tW7dOl26dCnbt9XLy0uzZs1SmzZtVKlSJbVq1Uo+Pj46duyYVq5cqZo1a6Z5spsRPj4+GjJkiEaOHKnnn39eL730kg4ePKiZM2fqmWeesbkh24NSo0YN5c2bV+3atVPv3r1lsVj09ddfZ2mIe4q2bdtqwYIF6tevn/7880/Vrl1bV69e1bp169S9e3c1b95cdevW1TvvvKOxY8cqMjJSjRo1Uu7cuXXo0CH98MMPmjJlSrr3m0ipe8aMGerevbueeuoptWnTRsHBwYqLi1N4eLh+/vlnffTRR5Iyfixml0KFCunjjz/W0aNHVbJkSX333XeKjIzUnDlzrCMjXnzxRS1dulQvv/yyXnjhBUVHR+uzzz5T6dKl0zzByoi///5bDRo0UGhoqEqXLi1HR0f99NNPOnv2rFq1aiXp4R5zzZs319dff62///77nt9KZ9SIESP066+/qmbNmurWrZs13Hn66acVGRmZpWU+rM+VuLg4FSlSRK+++qrKly8vDw8PrVu3Ttu2bdOkSZMytIzo6Gi99NJLev7557Vlyxbro1VTvlEPCgrSRx99pCFDhujo0aNq0aKFPD09FR0drZ9++klvv/22BgwYIOnfk/rvvvtO/fr10zPPPCMPDw81a9ZMQUFBypMnjz777DN5enrK3d1d1apVU7FixfTFF1+oSZMmKlOmjDp06KDChQvr5MmT2rhxo7y8vPSf//wnQ9uxbt06GYah5s2bZ21nAoDZPKzHEACAYdg+IvBu7nxEoGEYRlxcnNG3b1+jUKFCRu7cuY3g4GBjwoQJNo+XMgzDuH79utG7d2/jiSeeMNzd3Y1mzZoZx48fT/V4LcMwjLNnzxo9evQw/P39jdy5cxu+vr5GgwYNjDlz5lj7ZPYRgT/88MM998PGjRuNxo0bG97e3oaLi4sRFBRktG/f3ti+fbu1T7t27Qx3d/c050/rEYEppk+fbjz11FNG7ty5jYIFCxrdunUzLl++bNOnbt26RpkyZVLNm7Ktdz4WLr1tS+v9jIiIMJ599lnD1dXVKFSokDFw4EBjzZo1hiRj48aN96yhXbt2qR41du3aNWPo0KFGsWLFrO/Tq6++akRFRdn0mzNnjlG5cmXD1dXV8PT0NMqWLWsMHDjQOHXqVKr1pGXHjh3GG2+8YT3G8ubNazRo0MCYP3++zSPwMnosSkr1CLfM7OOUfbR9+3ajevXqhouLixEQEGBMnz7dZt7k5GRjzJgxRkBAgOHs7GxUrFjRWLFiRap9md66b5+WcpxfuHDB6NGjh/HUU08Z7u7uhre3t1GtWjXj+++/TzXv/Rxzab3faUlISDDy589vjBo1KtX8af2dpPyN3C6tz4D169cbFStWNJycnIygoCDjiy++MPr372+4uLikmjetx/EFBAQY7dq1s2nLyOdKZj4v0qo/ISHBeO+994zy5csbnp6ehru7u1G+fHlj5syZ91xOyr7Zt2+f8eqrrxqenp5G3rx5jZ49exrXr19P1X/JkiVGrVq1DHd3d8Pd3d146qmnjB49ehgHDx609omPjzfeeOMNI0+ePIYkm/d0+fLlRunSpa2PXrz9s3TXrl3GK6+8YjzxxBOGs7OzERAQYISGhhrr169PVW9an3eGYRivv/66UatWrXtuNwDgXxbDuI+vZwAAwAMTEhKiCxcupDm03IxGjRqlr776SocOHXqgNwNs0aKF/vrrL+sd7PHoOnPmjIoVK6bFixczEgAAMoh7AgAAgByhb9++io+P1+LFi7NtmdevX7d5fejQIa1atUohISHZtg48OJMnT1bZsmUJAAAgExgJAADAI4qRAA+en5+f2rdvr+LFi+uff/7RrFmzlJCQoF27dik4ONje5QEAkO24MSAAADCt559/XosWLdKZM2fk7Oys6tWra8yYMQQAAIDHFiMBAAAAAAAwCe4JAAAAAACASRACAAAAAABgEtwT4BGUnJysU6dOydPTUxaLxd7lAAAAALATwzAUFxenQoUKKVcuvsPF/SMEeASdOnVK/v7+9i4DAAAAwCPi+PHjKlKkiL3LwGOAEOAR5OnpKenfP3QvLy87VwMAAADAXmJjY+Xv7289RwDuFyHAIyjlEgAvLy9CAAAAAABcJoxsw0UlAAAAAACYBCEAAAAAAAAmQQgAAAAAAIBJcE8AAAAAADCxpKQk3bx5095l4D7kzp1bDg4OGepLCPAIq/PBIjk4u9q7DAAAAOQgOya0tXcJyEHi4+N14sQJGYZh71JwHywWi4oUKSIPD4979iUEAAAAAAATSkpK0okTJ+Tm5iYfHx+eQJBDGYah8+fP68SJEwoODr7niABCAAAAAAAwoZs3b8owDPn4+MjVlRHIOZmPj4+OHj2qmzdv3jME4MaAAAAAAGBijADI+TLzHhICAAAAAABgEoQ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          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saved performance comparison to: /content/model_results/model_performance_comparison.png\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Option A: write processed_feature_names list to disk\n",
        "import os\n",
        "RESULTS_DIR = \"/content/model_results\"  # change if your path differs\n",
        "\n",
        "# processed_feature_names should be a Python list already in your session\n",
        "# Example: processed_feature_names = ['age_years','BMI','ap_hi', ...]\n",
        "try:\n",
        "    with open(os.path.join(RESULTS_DIR, \"processed_feature_names.txt\"), \"w\") as f:\n",
        "        for name in processed_feature_names:\n",
        "            f.write(f\"{name}\\n\")\n",
        "    print(\"Wrote processed_feature_names.txt to\", RESULTS_DIR)\n",
        "except NameError:\n",
        "    print(\"processed_feature_names not found in session. Use Option B below.\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Yoj9zUaWPgxR",
        "outputId": "3965d1af-24a3-4e5d-abce-7115481945b6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Wrote processed_feature_names.txt to /content/model_results\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell 4 - CatBoost feature importance\n",
        "import os, numpy as np, pandas as pd, matplotlib.pyplot as plt\n",
        "\n",
        "# Try to load CatBoost model file from results dir (common names)\n",
        "possible_names = [\"catboost.joblib\",\"CatBoost.joblib\",\"cat_full.joblib\",\"cat_model.joblib\",\"CatBoost_model.joblib\"]\n",
        "cat_model = None\n",
        "for fname in possible_names:\n",
        "    path = os.path.join(RESULTS_DIR, fname)\n",
        "    if os.path.exists(path):\n",
        "        try:\n",
        "            cat_model = joblib.load(path)\n",
        "            print(\"Loaded CatBoost model from:\", path)\n",
        "            break\n",
        "        except Exception:\n",
        "            # Added a basic except block to catch potential loading errors\n",
        "            pass\n",
        "\n",
        "# If model not found, look for feature importance CSV\n",
        "fi_csv_candidates = [f for f in os.listdir(RESULTS_DIR) if 'feature' in f.lower() and (f.endswith('.csv') or f.endswith('.png'))]\n",
        "fi = None\n",
        "if cat_model is not None:\n",
        "    try:\n",
        "        # CatBoost provides get_feature_importance; for sklearn wrapper use feature_importances_\n",
        "        if hasattr(cat_model, \"get_feature_importance\"):\n",
        "            importances = cat_model.get_feature_importance()\n",
        "        elif hasattr(cat_model, \"feature_importances_\"):\n",
        "            importances = cat_model.feature_importances_\n",
        "        else:\n",
        "            raise RuntimeError(\"Model has no feature importances attribute usable.\")\n",
        "        # map to processed feature names if available\n",
        "        feat_names_path = os.path.join(RESULTS_DIR, \"processed_feature_names.txt\")\n",
        "        if os.path.exists(feat_names_path):\n",
        "            with open(feat_names_path) as f:\n",
        "                feat_names = [l.strip() for l in f.readlines()]\n",
        "        else:\n",
        "            # Use default names if file not found\n",
        "            feat_names = [f\"f{i}\" for i in range(len(importances))]\n",
        "            print(\"processed_feature_names.txt not found. Using default feature names.\")\n",
        "\n",
        "        fi = pd.DataFrame({\"feature\": feat_names, \"importance\": importances})\n",
        "\n",
        "    except Exception as e:\n",
        "        print(f\"Error extracting feature importance from model: {e}\")\n",
        "        # If error extracting from model, fallback to CSV candidates\n",
        "        if fi_csv_candidates:\n",
        "            fi = pd.read_csv(os.path.join(RESULTS_DIR, fi_csv_candidates[0]))\n",
        "            print(\"Loaded feature importance CSV as fallback:\", fi_csv_candidates[0])\n",
        "        else:\n",
        "            raise FileNotFoundError(\"Could not find CatBoost model feature importance or feature importance CSV in RESULTS_DIR.\") from e\n",
        "\n",
        "elif fi_csv_candidates:\n",
        "    fi = pd.read_csv(os.path.join(RESULTS_DIR, fi_csv_candidates[0]))\n",
        "    print(\"Loaded feature importance CSV:\", fi_csv_candidates[0])\n",
        "else:\n",
        "    raise FileNotFoundError(\"Could not find CatBoost model or feature importance CSV in RESULTS_DIR.\")\n",
        "\n",
        "# Plot top 15\n",
        "fi = fi.sort_values(\"importance\", ascending=False).head(15)\n",
        "plt.figure(figsize=(8,5))\n",
        "sns.barplot(x='importance', y='feature', data=fi, palette='viridis', hue='feature', legend=False)\n",
        "plt.title(\"CatBoost Feature Importance (Top 15)\")\n",
        "out3 = os.path.join(RESULTS_DIR, \"catboost_feature_importance_top15.png\")\n",
        "plt.savefig(out3, dpi=200, bbox_inches='tight')\n",
        "plt.show()\n",
        "print(\"Saved CatBoost feature importance to:\", out3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 521
        },
        "id": "qpDlDaemO0tN",
        "outputId": "baea6297-c1f1-4b05-8f12-6e357d9292be"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Loaded CatBoost model from: /content/model_results/CatBoost.joblib\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saved CatBoost feature importance to: /content/model_results/catboost_feature_importance_top15.png\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell A - CatBoost feature importance with real processed names\n",
        "import os, joblib, pandas as pd, matplotlib.pyplot as plt, seaborn as sns, numpy as np\n",
        "\n",
        "RESULTS_DIR = \"/content/model_results\"\n",
        "if not os.path.exists(RESULTS_DIR):\n",
        "    RESULTS_DIR = \"/mnt/data/model_results\" if os.path.exists(\"/mnt/data/model_results\") else \".\"\n",
        "\n",
        "# load processed feature names\n",
        "pf_path = os.path.join(RESULTS_DIR, \"processed_feature_names.txt\")\n",
        "if os.path.exists(pf_path):\n",
        "    with open(pf_path) as f:\n",
        "        feat_names = [l.strip() for l in f.readlines()]\n",
        "else:\n",
        "    feat_names = None\n",
        "\n",
        "# locate cat model\n",
        "possible = [\"catboost.joblib\",\"CatBoost.joblib\",\"cat_full.joblib\",\"cat_model.joblib\",\"CatBoost_model.joblib\",\"CatBoost_model.joblib\"]\n",
        "cat_model = None\n",
        "for p in possible:\n",
        "    fp = os.path.join(RESULTS_DIR, p)\n",
        "    if os.path.exists(fp):\n",
        "        try:\n",
        "            cat_model = joblib.load(fp)\n",
        "            print(\"Loaded CatBoost model from:\", fp)\n",
        "            break\n",
        "        except Exception as e:\n",
        "            print(\"Found but couldn't load\", fp, \"->\", e)\n",
        "\n",
        "if cat_model is None:\n",
        "    raise FileNotFoundError(\"No CatBoost model found in RESULTS_DIR. Save your CatBoost model to one of the filenames above.\")\n",
        "\n",
        "# get importances\n",
        "if hasattr(cat_model, \"get_feature_importance\"):\n",
        "    importances = np.array(cat_model.get_feature_importance())\n",
        "elif hasattr(cat_model, \"feature_importances_\"):\n",
        "    importances = np.array(cat_model.feature_importances_)\n",
        "else:\n",
        "    raise RuntimeError(\"Cannot extract feature importances from loaded CatBoost object.\")\n",
        "\n",
        "# build dataframe with names if available\n",
        "if feat_names is not None and len(feat_names) == len(importances):\n",
        "    fi = pd.DataFrame({\"feature\": feat_names, \"importance\": importances})\n",
        "else:\n",
        "    fi = pd.DataFrame({\"feature\": [f\"f{i}\" for i in range(len(importances))], \"importance\": importances})\n",
        "fi = fi.sort_values(\"importance\", ascending=False).head(15)\n",
        "\n",
        "# plot\n",
        "plt.figure(figsize=(8,6))\n",
        "sns.barplot(x='importance', y='feature', data=fi, palette='viridis')\n",
        "plt.title(\"CatBoost Feature Importance (Top 15)\")\n",
        "outp = os.path.join(RESULTS_DIR, \"catboost_feature_importance_top15_named.png\")\n",
        "plt.tight_layout()\n",
        "plt.savefig(outp, dpi=200, bbox_inches='tight')\n",
        "plt.show()\n",
        "print(\"Saved CatBoost feature importance to:\", outp)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 746
        },
        "id": "i6R2c_pUQhji",
        "outputId": "caa798fc-ebce-4170-e0cc-91e693780f05"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Loaded CatBoost model from: /content/model_results/CatBoost.joblib\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipython-input-2154906082.py:49: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.barplot(x='importance', y='feature', data=fi, palette='viridis')\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saved CatBoost feature importance to: /content/model_results/catboost_feature_importance_top15_named.png\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell B - SHAP summary + force plot for CatBoost\n",
        "import os, joblib, numpy as np, matplotlib.pyplot as plt, shap, pandas as pd\n",
        "\n",
        "RESULTS_DIR = \"/content/model_results\"\n",
        "if not os.path.exists(RESULTS_DIR):\n",
        "    RESULTS_DIR = \"/mnt/data/model_results\" if os.path.exists(\"/mnt/data/model_results\") else \".\"\n",
        "\n",
        "# load cat model if not in session\n",
        "try:\n",
        "    cat_model\n",
        "except NameError:\n",
        "    # try common filenames\n",
        "    for fname in [\"cat_full.joblib\",\"cat_model.joblib\",\"CatBoost.joblib\",\"catboost.joblib\"]:\n",
        "        fp = os.path.join(RESULTS_DIR, fname)\n",
        "        if os.path.exists(fp):\n",
        "            cat_model = joblib.load(fp)\n",
        "            print(\"Loaded CatBoost model from:\", fp)\n",
        "            break\n",
        "\n",
        "# find processed feature names\n",
        "pf = os.path.join(RESULTS_DIR, \"processed_feature_names.txt\")\n",
        "if os.path.exists(pf):\n",
        "    with open(pf) as f:\n",
        "        feat_names = [l.strip() for l in f.readlines()]\n",
        "else:\n",
        "    feat_names = None\n",
        "\n",
        "# get X_test (processed) and y_test from session if available\n",
        "X_test_proc = None\n",
        "try:\n",
        "    X_test_proc = X_test  # from earlier pipeline (numpy)\n",
        "    print(\"Using in-memory X_test.\")\n",
        "except Exception:\n",
        "    # try to reconstruct from preprocessor and X_test_raw\n",
        "    try:\n",
        "        preproc = joblib.load(os.path.join(RESULTS_DIR, \"preprocessor.joblib\"))\n",
        "        X_test_raw = pd.read_csv(os.path.join(RESULTS_DIR, \"holdout_base_probs.csv\"))  # fallback guess (may not contain raw)\n",
        "        print(\"preprocessor loaded; but raw X_test not found automatically. If this fails, please provide X_test or preprocessor and X_test_raw.\")\n",
        "    except Exception:\n",
        "        pass\n",
        "\n",
        "if X_test_proc is None:\n",
        "    raise RuntimeError(\"X_test (processed features) not found in session. SHAP needs feature matrix. Provide X_test (processed numpy array) or run the preprocessing transform and set variable X_test.\")\n",
        "\n",
        "# Create a lightweight sample to speed SHAP\n",
        "sample_idx = np.random.choice(X_test_proc.shape[0], size=min(2000, X_test_proc.shape[0]), replace=False)\n",
        "X_shap = X_test_proc[sample_idx]\n",
        "\n",
        "# SHAP\n",
        "explainer = shap.TreeExplainer(cat_model)\n",
        "shap_vals = explainer.shap_values(X_shap)\n",
        "\n",
        "# summary plot (class 1)\n",
        "plt.figure(figsize=(10,6))\n",
        "shap.summary_plot(shap_vals, X_shap, feature_names=feat_names if feat_names else None, show=False)\n",
        "sum_png = os.path.join(RESULTS_DIR, \"shap_summary_cat.png\")\n",
        "plt.savefig(sum_png, dpi=200, bbox_inches='tight')\n",
        "plt.close()\n",
        "print(\"Saved SHAP summary to:\", sum_png)\n",
        "\n",
        "# force plot for one representative positive sample (highest predicted prob)\n",
        "probs = cat_model.predict_proba(X_test_proc)[:,1]\n",
        "idx = int(np.argmax(probs))  # pick highest risk sample\n",
        "sv = explainer.shap_values(X_test_proc[idx:idx+1])\n",
        "# SHAP force plot (HTML) and static save via matplotlib\n",
        "shap.initjs()\n",
        "force_html = os.path.join(RESULTS_DIR, \"shap_force_sample.html\")\n",
        "shap.force_plot(explainer.expected_value, sv, X_test_proc[idx:idx+1], feature_names=feat_names if feat_names else None, matplotlib=True, show=False)\n",
        "# save matplotlib-rendered force as PNG\n",
        "fp_png = os.path.join(RESULTS_DIR, \"shap_force_highest_risk.png\")\n",
        "plt.savefig(fp_png, dpi=200, bbox_inches='tight')\n",
        "plt.close()\n",
        "print(\"Saved SHAP force plot (PNG) to:\", fp_png)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 94
        },
        "id": "Umbn1YqAQlGt",
        "outputId": "ab9b8bf3-cb1e-4f49-b616-f40e2efcefd8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Using in-memory X_test.\n",
            "Saved SHAP summary to: /content/model_results/shap_summary_cat.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
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if(ou(t),mf(s)){if(r=s.nextSibling&&s.nextSibling.dataset)var c=r.dgst;r=c,(a=Error(o(419))).stack=\"\",a.digest=r,ga({value:a,source:null,stack:null}),t=Vu(e,t,n)}else if(Tu||xa(e,t,n,!1),r=!!(n&e.childLanes),Tu||r){if(null!==(r=rs)&&0!==(a=(a=42&(a=n&-n)?1:Pe(a))&(r.suspendedLanes|n)?0:a)&&a!==l.retryLane)throw l.retryLane=a,Nr(e,a),Ds(r,0,a),Cu;\"$?\"===s.data||Qs(),t=Vu(e,t,n)}else\"$?\"===s.data?(t.flags|=192,t.child=e.child,t=null):(e=l.treeContext,aa=yf(s.nextSibling),ra=t,ia=!0,oa=null,ua=!1,null!==e&&(Yr[Gr++]=Xr,Yr[Gr++]=Zr,Yr[Gr++]=Kr,Xr=e.id,Zr=e.overflow,Kr=t),(t=Hu(t,a.children)).flags|=4096);return t}return i?(lu(),i=a.fallback,s=t.mode,c=(l=e.child).sibling,(a=jr(l,{mode:\"hidden\",children:a.children})).subtreeFlags=65011712&l.subtreeFlags,null!==c?i=jr(c,i):(i=$r(i,s,n,null)).flags|=2,i.return=t,a.return=t,a.sibling=i,t.child=a,a=i,i=t.child,null===(s=e.child.memoizedState)?s=Iu(n):(null!==(l=s.cachePool)?(c=Aa._currentValue,l=l.parent!==c?{parent:c,pool:c}:l):l=Wa(),s={baseLanes:s.baseLanes|n,cachePool:l}),i.memoizedState=s,i.childLanes=$u(e,r,n),t.memoizedState=Uu,a):(ou(t),e=(n=e.child).sibling,(n=jr(n,{mode:\"visible\",children:a.children})).return=t,n.sibling=null,null!==e&&(null===(r=t.deletions)?(t.deletions=[e],t.flags|=16):r.push(e)),t.child=n,t.memoizedState=null,n)}function Hu(e,t){return(t=Wu({mode:\"visible\",children:t},e.mode)).return=e,e.child=t}function Wu(e,t){return(e=Dr(22,e,null,t)).lanes=0,e.stateNode={_visibility:1,_pendingMarkers:null,_retryCache:null,_transitions:null},e}function Vu(e,t,n){return nu(t,e.child,null,n),(e=Hu(t,t.pendingProps.children)).flags|=2,t.memoizedState=null,e}function qu(e,t,n){e.lanes|=t;var r=e.alternate;null!==r&&(r.lanes|=t),_a(e.return,t,n)}function Qu(e,t,n,r,a){var i=e.memoizedState;null===i?e.memoizedState={isBackwards:t,rendering:null,renderingStartTime:0,last:r,tail:n,tailMode:a}:(i.isBackwards=t,i.rendering=null,i.renderingStartTime=0,i.last=r,i.tail=n,i.tailMode=a)}function Yu(e,t,n){var r=t.pendingProps,a=r.revealOrder,i=r.tail;if(Pu(e,t,r.children,n),2&(r=cu.current))r=1&r|2,t.flags|=128;else{if(null!==e&&128&e.flags)e:for(e=t.child;null!==e;){if(13===e.tag)null!==e.memoizedState&&qu(e,n,t);else if(19===e.tag)qu(e,n,t);else if(null!==e.child){e.child.return=e,e=e.child;continue}if(e===t)break e;for(;null===e.sibling;){if(null===e.return||e.return===t)break 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Ku(e,t){return!!(e.lanes&t)||!(null===(e=e.dependencies)||!Sa(e))}function Xu(e,t,n){if(null!==e)if(e.memoizedProps!==t.pendingProps)Tu=!0;else{if(!(Ku(e,n)||128&t.flags))return Tu=!1,function(e,t,n){switch(t.tag){case 3:q(t,t.stateNode.containerInfo),ba(0,Aa,e.memoizedState.cache),pa();break;case 27:case 5:Y(t);break;case 4:q(t,t.stateNode.containerInfo);break;case 10:ba(0,t.type,t.memoizedProps.value);break;case 13:var r=t.memoizedState;if(null!==r)return null!==r.dehydrated?(ou(t),t.flags|=128,null):n&t.child.childLanes?Bu(e,t,n):(ou(t),null!==(e=Gu(e,t,n))?e.sibling:null);ou(t);break;case 19:var a=!!(128&e.flags);if((r=!!(n&t.childLanes))||(xa(e,t,n,!1),r=!!(n&t.childLanes)),a){if(r)return Yu(e,t,n);t.flags|=128}if(null!==(a=t.memoizedState)&&(a.rendering=null,a.tail=null,a.lastEffect=null),$(cu,cu.current),r)break;return null;case 22:case 23:return t.lanes=0,Au(e,t,n);case 24:ba(0,Aa,e.memoizedState.cache)}return Gu(e,t,n)}(e,t,n);Tu=!!(131072&e.flags)}else 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null}(r,t.type,t.pendingProps,ua))?(t.stateNode=r,ra=t,aa=yf(r.firstChild),ua=!1,a=!0):a=!1),a||sa(t)),Y(t),a=t.type,i=t.pendingProps,u=null!==e?e.memoizedProps:null,r=i.children,uf(a,i)?r=null:null!==u&&uf(a,u)&&(t.flags|=32),null!==t.memoizedState&&(a=Ni(e,t,Li,null,null,n),Gf._currentValue=a),Lu(e,t),Pu(e,t,r,n),t.child;case 6:return null===e&&ia&&((e=n=aa)&&(null!==(n=function(e,t,n){if(\"\"===t)return null;for(;3!==e.nodeType;){if((1!==e.nodeType||\"INPUT\"!==e.nodeName||\"hidden\"!==e.type)&&!n)return null;if(null===(e=yf(e.nextSibling)))return null}return e}(n,t.pendingProps,ua))?(t.stateNode=n,ra=t,aa=null,e=!0):e=!1),e||sa(t)),null;case 13:return Bu(e,t,n);case 4:return q(t,t.stateNode.containerInfo),r=t.pendingProps,null===e?t.child=nu(t,null,r,n):Pu(e,t,r,n),t.child;case 11:return zu(e,t,t.type,t.pendingProps,n);case 7:return Pu(e,t,t.pendingProps,n),t.child;case 8:case 12:return Pu(e,t,t.pendingProps.children,n),t.child;case 10:return r=t.pendingProps,ba(0,t.type,r.value),Pu(e,t,r.children,n),t.child;case 9:return a=t.type._context,r=t.pendingProps.children,Ea(t),r=r(a=Ca(a)),t.flags|=1,Pu(e,t,r,n),t.child;case 14:return Mu(e,t,t.type,t.pendingProps,n);case 15:return Nu(e,t,t.type,t.pendingProps,n);case 19:return Yu(e,t,n);case 31:return r=t.pendingProps,n=t.mode,r={mode:r.mode,children:r.children},null===e?((n=Wu(r,n)).ref=t.ref,t.child=n,n.return=t,t=n):((n=jr(e.child,r)).ref=t.ref,t.child=n,n.return=t,t=n),t;case 22:return Au(e,t,n);case 24:return Ea(t),r=Ca(Aa),null===e?(null===(a=Ba())&&(a=rs,i=Oa(),a.pooledCache=i,i.refCount++,null!==i&&(a.pooledCacheLanes|=n),a=i),t.memoizedState={parent:r,cache:a},ni(t),ba(0,Aa,a)):(!!(e.lanes&n)&&(ri(e,t),ci(t,null,null,n),si()),a=e.memoizedState,i=t.memoizedState,a.parent!==r?(a={parent:r,cache:r},t.memoizedState=a,0===t.lanes&&(t.memoizedState=t.updateQueue.baseState=a),ba(0,Aa,r)):(r=i.cache,ba(0,Aa,r),r!==a.cache&&ka(t,[Aa],n,!0))),Pu(e,t,t.pendingProps.children,n),t.child;case 29:throw t.pendingProps}throw Error(o(156,t.tag))}function Zu(e){e.flags|=4}function Ju(e,t){if(\"stylesheet\"!==t.type||4&t.state.loading)e.flags&=-16777217;else if(e.flags|=16777216,!Bf(t)){if(null!==(t=au.current)&&((4194048&is)===is?null!==iu:(62914560&is)!==is&&!(536870912&is)||t!==iu))throw Za=Ya,qa;e.flags|=8192}}function el(e,t){null!==t&&(e.flags|=4),16384&e.flags&&(t=22!==e.tag?xe():536870912,e.lanes|=t,ms|=t)}function tl(e,t){if(!ia)switch(e.tailMode){case\"hidden\":t=e.tail;for(var n=null;null!==t;)null!==t.alternate&&(n=t),t=t.sibling;null===n?e.tail=null:n.sibling=null;break;case\"collapsed\":n=e.tail;for(var r=null;null!==n;)null!==n.alternate&&(r=n),n=n.sibling;null===r?t||null===e.tail?e.tail=null:e.tail.sibling=null:r.sibling=null}}function nl(e){var t=null!==e.alternate&&e.alternate.child===e.child,n=0,r=0;if(t)for(var a=e.child;null!==a;)n|=a.lanes|a.childLanes,r|=65011712&a.subtreeFlags,r|=65011712&a.flags,a.return=e,a=a.sibling;else for(a=e.child;null!==a;)n|=a.lanes|a.childLanes,r|=a.subtreeFlags,r|=a.flags,a.return=e,a=a.sibling;return e.subtreeFlags|=r,e.childLanes=n,t}function rl(e,t,n){var r=t.pendingProps;switch(na(t),t.tag){case 31:case 16:case 15:case 0:case 11:case 7:case 8:case 12:case 9:case 14:case 1:return nl(t),null;case 3:return n=t.stateNode,r=null,null!==e&&(r=e.memoizedState.cache),t.memoizedState.cache!==r&&(t.flags|=2048),wa(Aa),Q(),n.pendingContext&&(n.context=n.pendingContext,n.pendingContext=null),null!==e&&null!==e.child||(da(t)?Zu(t):null===e||e.memoizedState.isDehydrated&&!(256&t.flags)||(t.flags|=1024,ha())),nl(t),null;case 26:return n=t.memoizedState,null===e?(Zu(t),null!==n?(nl(t),Ju(t,n)):(nl(t),t.flags&=-16777217)):n?n!==e.memoizedState?(Zu(t),nl(t),Ju(t,n)):(nl(t),t.flags&=-16777217):(e.memoizedProps!==r&&Zu(t),nl(t),t.flags&=-16777217),null;case 27:G(t),n=W.current;var a=t.type;if(null!==e&&null!=t.stateNode)e.memoizedProps!==r&&Zu(t);else{if(!r){if(null===t.stateNode)throw Error(o(166));return nl(t),null}e=B.current,da(t)?ca(t):(e=_f(a,r,n),t.stateNode=e,Zu(t))}return nl(t),null;case 5:if(G(t),n=t.type,null!==e&&null!=t.stateNode)e.memoizedProps!==r&&Zu(t);else{if(!r){if(null===t.stateNode)throw Error(o(166));return nl(t),null}if(e=B.current,da(t))ca(t);else{switch(a=rf(W.current),e){case 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              "</script>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saved SHAP force plot (PNG) to: /content/model_results/shap_force_highest_risk.png\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell B - SHAP summary + force plot for CatBoost\n",
        "import os, joblib, numpy as np, matplotlib.pyplot as plt, shap, pandas as pd\n",
        "\n",
        "RESULTS_DIR = \"/content/model_results\"\n",
        "if not os.path.exists(RESULTS_DIR):\n",
        "    RESULTS_DIR = \"/mnt/data/model_results\" if os.path.exists(\"/mnt/data/model_results\") else \".\"\n",
        "\n",
        "# load cat model if not in session\n",
        "try:\n",
        "    cat_model\n",
        "except NameError:\n",
        "    # try common filenames\n",
        "    for fname in [\"cat_full.joblib\",\"cat_model.joblib\",\"CatBoost.joblib\",\"catboost.joblib\"]:\n",
        "        fp = os.path.join(RESULTS_DIR, fname)\n",
        "        if os.path.exists(fp):\n",
        "            cat_model = joblib.load(fp)\n",
        "            print(\"Loaded CatBoost model from:\", fp)\n",
        "            break\n",
        "\n",
        "# find processed feature names\n",
        "pf = os.path.join(RESULTS_DIR, \"processed_feature_names.txt\")\n",
        "if os.path.exists(pf):\n",
        "    with open(pf) as f:\n",
        "        feat_names = [l.strip() for l in f.readlines()]\n",
        "else:\n",
        "    feat_names = None\n",
        "\n",
        "# get X_test (processed) and y_test from session if available\n",
        "X_test_proc = None\n",
        "try:\n",
        "    X_test_proc = X_test  # from earlier pipeline (numpy)\n",
        "    print(\"Using in-memory X_test.\")\n",
        "except Exception:\n",
        "    # try to reconstruct from preprocessor and X_test_raw\n",
        "    try:\n",
        "        preproc = joblib.load(os.path.join(RESULTS_DIR, \"preprocessor.joblib\"))\n",
        "        X_test_raw = pd.read_csv(os.path.join(RESULTS_DIR, \"holdout_base_probs.csv\"))  # fallback guess (may not contain raw)\n",
        "        print(\"preprocessor loaded; but raw X_test not found automatically. If this fails, please provide X_test or preprocessor and X_test_raw.\")\n",
        "    except Exception:\n",
        "        pass\n",
        "\n",
        "if X_test_proc is None:\n",
        "    raise RuntimeError(\"X_test (processed features) not found in session. SHAP needs feature matrix. Provide X_test (processed numpy array) or run the preprocessing transform and set variable X_test.\")\n",
        "\n",
        "# Create a lightweight sample to speed SHAP\n",
        "sample_idx = np.random.choice(X_test_proc.shape[0], size=min(2000, X_test_proc.shape[0]), replace=False)\n",
        "X_shap = X_test_proc[sample_idx]\n",
        "\n",
        "# SHAP\n",
        "explainer = shap.TreeExplainer(cat_model)\n",
        "shap_vals = explainer.shap_values(X_shap)\n",
        "\n",
        "# summary plot (class 1)\n",
        "plt.figure(figsize=(10,6))\n",
        "shap.summary_plot(shap_vals, X_shap, feature_names=feat_names if feat_names else None, show=False)\n",
        "sum_png = os.path.join(RESULTS_DIR, \"shap_summary_cat.png\")\n",
        "plt.savefig(sum_png, dpi=200, bbox_inches='tight')\n",
        "plt.close()\n",
        "print(\"Saved SHAP summary to:\", sum_png)\n",
        "\n",
        "# force plot for one representative positive sample (highest predicted prob)\n",
        "probs = cat_model.predict_proba(X_test_proc)[:,1]\n",
        "idx = int(np.argmax(probs))  # pick highest risk sample\n",
        "sv = explainer.shap_values(X_test_proc[idx:idx+1])\n",
        "# SHAP force plot (HTML) and static save via matplotlib\n",
        "shap.initjs()\n",
        "force_html = os.path.join(RESULTS_DIR, \"shap_force_sample.html\")\n",
        "shap.force_plot(explainer.expected_value, sv, X_test_proc[idx:idx+1], feature_names=feat_names if feat_names else None, matplotlib=True, show=False)\n",
        "# save matplotlib-rendered force as PNG\n",
        "fp_png = os.path.join(RESULTS_DIR, \"shap_force_highest_risk.png\")\n",
        "plt.savefig(fp_png, dpi=200, bbox_inches='tight')\n",
        "plt.close()\n",
        "print(\"Saved SHAP force plot (PNG) to:\", fp_png)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 94
        },
        "id": "uHGtdASTQ1tP",
        "outputId": "398f36d6-b8e3-4d1b-fb13-968d16e0dbe1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Using in-memory X_test.\n",
            "Saved SHAP summary to: /content/model_results/shap_summary_cat.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
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              "<IPython.core.display.HTML object>"
            ],
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if(ou(t),mf(s)){if(r=s.nextSibling&&s.nextSibling.dataset)var c=r.dgst;r=c,(a=Error(o(419))).stack=\"\",a.digest=r,ga({value:a,source:null,stack:null}),t=Vu(e,t,n)}else if(Tu||xa(e,t,n,!1),r=!!(n&e.childLanes),Tu||r){if(null!==(r=rs)&&0!==(a=(a=42&(a=n&-n)?1:Pe(a))&(r.suspendedLanes|n)?0:a)&&a!==l.retryLane)throw l.retryLane=a,Nr(e,a),Ds(r,0,a),Cu;\"$?\"===s.data||Qs(),t=Vu(e,t,n)}else\"$?\"===s.data?(t.flags|=192,t.child=e.child,t=null):(e=l.treeContext,aa=yf(s.nextSibling),ra=t,ia=!0,oa=null,ua=!1,null!==e&&(Yr[Gr++]=Xr,Yr[Gr++]=Zr,Yr[Gr++]=Kr,Xr=e.id,Zr=e.overflow,Kr=t),(t=Hu(t,a.children)).flags|=4096);return t}return 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nu(t,e.child,null,n),(e=Hu(t,t.pendingProps.children)).flags|=2,t.memoizedState=null,e}function qu(e,t,n){e.lanes|=t;var r=e.alternate;null!==r&&(r.lanes|=t),_a(e.return,t,n)}function Qu(e,t,n,r,a){var i=e.memoizedState;null===i?e.memoizedState={isBackwards:t,rendering:null,renderingStartTime:0,last:r,tail:n,tailMode:a}:(i.isBackwards=t,i.rendering=null,i.renderingStartTime=0,i.last=r,i.tail=n,i.tailMode=a)}function Yu(e,t,n){var r=t.pendingProps,a=r.revealOrder,i=r.tail;if(Pu(e,t,r.children,n),2&(r=cu.current))r=1&r|2,t.flags|=128;else{if(null!==e&&128&e.flags)e:for(e=t.child;null!==e;){if(13===e.tag)null!==e.memoizedState&&qu(e,n,t);else if(19===e.tag)qu(e,n,t);else if(null!==e.child){e.child.return=e,e=e.child;continue}if(e===t)break e;for(;null===e.sibling;){if(null===e.return||e.return===t)break 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Ku(e,t){return!!(e.lanes&t)||!(null===(e=e.dependencies)||!Sa(e))}function Xu(e,t,n){if(null!==e)if(e.memoizedProps!==t.pendingProps)Tu=!0;else{if(!(Ku(e,n)||128&t.flags))return Tu=!1,function(e,t,n){switch(t.tag){case 3:q(t,t.stateNode.containerInfo),ba(0,Aa,e.memoizedState.cache),pa();break;case 27:case 5:Y(t);break;case 4:q(t,t.stateNode.containerInfo);break;case 10:ba(0,t.type,t.memoizedProps.value);break;case 13:var r=t.memoizedState;if(null!==r)return null!==r.dehydrated?(ou(t),t.flags|=128,null):n&t.child.childLanes?Bu(e,t,n):(ou(t),null!==(e=Gu(e,t,n))?e.sibling:null);ou(t);break;case 19:var a=!!(128&e.flags);if((r=!!(n&t.childLanes))||(xa(e,t,n,!1),r=!!(n&t.childLanes)),a){if(r)return Yu(e,t,n);t.flags|=128}if(null!==(a=t.memoizedState)&&(a.rendering=null,a.tail=null,a.lastEffect=null),$(cu,cu.current),r)break;return null;case 22:case 23:return t.lanes=0,Au(e,t,n);case 24:ba(0,Aa,e.memoizedState.cache)}return Gu(e,t,n)}(e,t,n);Tu=!!(131072&e.flags)}else Tu=!1,ia&&1048576&t.flags&&ea(t,Qr,t.index);switch(t.lanes=0,t.tag){case 16:e:{e=t.pendingProps;var r=t.elementType,a=r._init;if(r=a(r._payload),t.type=r,\"function\"!=typeof r){if(null!=r){if((a=r.$$typeof)===k){t.tag=11,t=zu(null,t,r,e,n);break e}if(a===E){t.tag=14,t=Mu(null,t,r,e,n);break e}}throw t=A(r)||r,Error(o(306,t,\"\"))}Rr(r)?(e=vu(r,e),t.tag=1,t=Ru(null,t,r,e,n)):(t.tag=0,t=Fu(null,t,r,e,n))}return t;case 0:return Fu(e,t,t.type,t.pendingProps,n);case 1:return Ru(e,t,r=t.type,a=vu(r,t.pendingProps),n);case 3:e:{if(q(t,t.stateNode.containerInfo),null===e)throw Error(o(387));r=t.pendingProps;var i=t.memoizedState;a=i.element,ri(e,t),ci(t,r,null,n);var u=t.memoizedState;if(r=u.cache,ba(0,Aa,r),r!==i.cache&&ka(t,[Aa],n,!0),si(),r=u.element,i.isDehydrated){if(i={element:r,isDehydrated:!1,cache:u.cache},t.updateQueue.baseState=i,t.memoizedState=i,256&t.flags){t=ju(e,t,r,n);break e}if(r!==a){ga(a=Sr(Error(o(424)),t)),t=ju(e,t,r,n);break 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null}(r,t.type,t.pendingProps,ua))?(t.stateNode=r,ra=t,aa=yf(r.firstChild),ua=!1,a=!0):a=!1),a||sa(t)),Y(t),a=t.type,i=t.pendingProps,u=null!==e?e.memoizedProps:null,r=i.children,uf(a,i)?r=null:null!==u&&uf(a,u)&&(t.flags|=32),null!==t.memoizedState&&(a=Ni(e,t,Li,null,null,n),Gf._currentValue=a),Lu(e,t),Pu(e,t,r,n),t.child;case 6:return null===e&&ia&&((e=n=aa)&&(null!==(n=function(e,t,n){if(\"\"===t)return null;for(;3!==e.nodeType;){if((1!==e.nodeType||\"INPUT\"!==e.nodeName||\"hidden\"!==e.type)&&!n)return null;if(null===(e=yf(e.nextSibling)))return null}return e}(n,t.pendingProps,ua))?(t.stateNode=n,ra=t,aa=null,e=!0):e=!1),e||sa(t)),null;case 13:return Bu(e,t,n);case 4:return q(t,t.stateNode.containerInfo),r=t.pendingProps,null===e?t.child=nu(t,null,r,n):Pu(e,t,r,n),t.child;case 11:return zu(e,t,t.type,t.pendingProps,n);case 7:return Pu(e,t,t.pendingProps,n),t.child;case 8:case 12:return Pu(e,t,t.pendingProps.children,n),t.child;case 10:return r=t.pendingProps,ba(0,t.type,r.value),Pu(e,t,r.children,n),t.child;case 9:return a=t.type._context,r=t.pendingProps.children,Ea(t),r=r(a=Ca(a)),t.flags|=1,Pu(e,t,r,n),t.child;case 14:return Mu(e,t,t.type,t.pendingProps,n);case 15:return Nu(e,t,t.type,t.pendingProps,n);case 19:return Yu(e,t,n);case 31:return r=t.pendingProps,n=t.mode,r={mode:r.mode,children:r.children},null===e?((n=Wu(r,n)).ref=t.ref,t.child=n,n.return=t,t=n):((n=jr(e.child,r)).ref=t.ref,t.child=n,n.return=t,t=n),t;case 22:return Au(e,t,n);case 24:return Ea(t),r=Ca(Aa),null===e?(null===(a=Ba())&&(a=rs,i=Oa(),a.pooledCache=i,i.refCount++,null!==i&&(a.pooledCacheLanes|=n),a=i),t.memoizedState={parent:r,cache:a},ni(t),ba(0,Aa,a)):(!!(e.lanes&n)&&(ri(e,t),ci(t,null,null,n),si()),a=e.memoizedState,i=t.memoizedState,a.parent!==r?(a={parent:r,cache:r},t.memoizedState=a,0===t.lanes&&(t.memoizedState=t.updateQueue.baseState=a),ba(0,Aa,r)):(r=i.cache,ba(0,Aa,r),r!==a.cache&&ka(t,[Aa],n,!0))),Pu(e,t,t.pendingProps.children,n),t.child;case 29:throw t.pendingProps}throw Error(o(156,t.tag))}function Zu(e){e.flags|=4}function Ju(e,t){if(\"stylesheet\"!==t.type||4&t.state.loading)e.flags&=-16777217;else if(e.flags|=16777216,!Bf(t)){if(null!==(t=au.current)&&((4194048&is)===is?null!==iu:(62914560&is)!==is&&!(536870912&is)||t!==iu))throw Za=Ya,qa;e.flags|=8192}}function el(e,t){null!==t&&(e.flags|=4),16384&e.flags&&(t=22!==e.tag?xe():536870912,e.lanes|=t,ms|=t)}function tl(e,t){if(!ia)switch(e.tailMode){case\"hidden\":t=e.tail;for(var n=null;null!==t;)null!==t.alternate&&(n=t),t=t.sibling;null===n?e.tail=null:n.sibling=null;break;case\"collapsed\":n=e.tail;for(var r=null;null!==n;)null!==n.alternate&&(r=n),n=n.sibling;null===r?t||null===e.tail?e.tail=null:e.tail.sibling=null:r.sibling=null}}function nl(e){var t=null!==e.alternate&&e.alternate.child===e.child,n=0,r=0;if(t)for(var a=e.child;null!==a;)n|=a.lanes|a.childLanes,r|=65011712&a.subtreeFlags,r|=65011712&a.flags,a.return=e,a=a.sibling;else for(a=e.child;null!==a;)n|=a.lanes|a.childLanes,r|=a.subtreeFlags,r|=a.flags,a.return=e,a=a.sibling;return e.subtreeFlags|=r,e.childLanes=n,t}function rl(e,t,n){var r=t.pendingProps;switch(na(t),t.tag){case 31:case 16:case 15:case 0:case 11:case 7:case 8:case 12:case 9:case 14:case 1:return nl(t),null;case 3:return n=t.stateNode,r=null,null!==e&&(r=e.memoizedState.cache),t.memoizedState.cache!==r&&(t.flags|=2048),wa(Aa),Q(),n.pendingContext&&(n.context=n.pendingContext,n.pendingContext=null),null!==e&&null!==e.child||(da(t)?Zu(t):null===e||e.memoizedState.isDehydrated&&!(256&t.flags)||(t.flags|=1024,ha())),nl(t),null;case 26:return n=t.memoizedState,null===e?(Zu(t),null!==n?(nl(t),Ju(t,n)):(nl(t),t.flags&=-16777217)):n?n!==e.memoizedState?(Zu(t),nl(t),Ju(t,n)):(nl(t),t.flags&=-16777217):(e.memoizedProps!==r&&Zu(t),nl(t),t.flags&=-16777217),null;case 27:G(t),n=W.current;var a=t.type;if(null!==e&&null!=t.stateNode)e.memoizedProps!==r&&Zu(t);else{if(!r){if(null===t.stateNode)throw Error(o(166));return nl(t),null}e=B.current,da(t)?ca(t):(e=_f(a,r,n),t.stateNode=e,Zu(t))}return nl(t),null;case 5:if(G(t),n=t.type,null!==e&&null!=t.stateNode)e.memoizedProps!==r&&Zu(t);else{if(!r){if(null===t.stateNode)throw Error(o(166));return nl(t),null}if(e=B.current,da(t))ca(t);else{switch(a=rf(W.current),e){case 1:e=a.createElementNS(\"http://www.w3.org/2000/svg\",n);break;case 2:e=a.createElementNS(\"http://www.w3.org/1998/Math/MathML\",n);break;default:switch(n){case\"svg\":e=a.createElementNS(\"http://www.w3.org/2000/svg\",n);break;case\"math\":e=a.createElementNS(\"http://www.w3.org/1998/Math/MathML\",n);break;case\"script\":(e=a.createElement(\"div\")).innerHTML=\"<script><\\/script>\",e=e.removeChild(e.firstChild);break;case\"select\":e=\"string\"==typeof r.is?a.createElement(\"select\",{is:r.is}):a.createElement(\"select\"),r.multiple?e.multiple=!0:r.size&&(e.size=r.size);break;default:e=\"string\"==typeof r.is?a.createElement(n,{is:r.is}):a.createElement(n)}}e[Ae]=t,e[Oe]=r;e:for(a=t.child;null!==a;){if(5===a.tag||6===a.tag)e.appendChild(a.stateNode);else if(4!==a.tag&&27!==a.tag&&null!==a.child){a.child.return=a,a=a.child;continue}if(a===t)break e;for(;null===a.sibling;){if(null===a.return||a.return===t)break 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              "</script>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saved SHAP force plot (PNG) to: /content/model_results/shap_force_highest_risk.png\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell C - export models and preprocessor for submission\n",
        "import os, joblib, pickle\n",
        "\n",
        "RESULTS_DIR = \"/content/model_results\"\n",
        "if not os.path.exists(RESULTS_DIR):\n",
        "    RESULTS_DIR = \"/mnt/data/model_results\" if os.path.exists(\"/mnt/data/model_results\") else \".\"\n",
        "\n",
        "os.makedirs(os.path.join(RESULTS_DIR,\"final_models\"), exist_ok=True)\n",
        "outdir = os.path.join(RESULTS_DIR,\"final_models\")\n",
        "\n",
        "# list candidates and copy/save them to final_models\n",
        "candidates = {\n",
        "    \"xgb_full\": [\"xgb_full.joblib\",\"XGBoost.joblib\",\"xgboost.joblib\",\"XGBoost_model.joblib\"],\n",
        "    \"cat_full\": [\"cat_full.joblib\",\"CatBoost.joblib\",\"catboost.joblib\",\"cat_model.joblib\"],\n",
        "    \"meta\": [\"MetaLR.joblib\",\"meta_lr.joblib\",\"meta.joblib\"]\n",
        "}\n",
        "found = {}\n",
        "for key, names in candidates.items():\n",
        "    for n in names:\n",
        "        p = os.path.join(RESULTS_DIR, n)\n",
        "        if os.path.exists(p):\n",
        "            joblib.dump(joblib.load(p), os.path.join(outdir, n))\n",
        "            found[key] = os.path.join(outdir, n)\n",
        "            break\n",
        "\n",
        "# save preprocessor if exists in session or in resultsdir\n",
        "try:\n",
        "    joblib.dump(preprocessor, os.path.join(outdir, \"preprocessor.joblib\"))\n",
        "    print(\"Saved preprocessor from memory to:\", os.path.join(outdir, \"preprocessor.joblib\"))\n",
        "except Exception:\n",
        "    # try to find preprocessor.joblib in RESULTS_DIR\n",
        "    if os.path.exists(os.path.join(RESULTS_DIR, \"preprocessor.joblib\")):\n",
        "        joblib.dump(joblib.load(os.path.join(RESULTS_DIR, \"preprocessor.joblib\")), os.path.join(outdir, \"preprocessor.joblib\"))\n",
        "        print(\"Copied preprocessor.joblib to final_models\")\n",
        "    else:\n",
        "        print(\"No preprocessor found in session or RESULTS_DIR; you should save it before deployment.\")\n",
        "\n",
        "# save ensemble weights file if exists\n",
        "weights_src = os.path.join(RESULTS_DIR, \"ensemble_weights.pkl\")\n",
        "if os.path.exists(weights_src):\n",
        "    joblib.dump(joblib.load(weights_src), os.path.join(outdir,\"ensemble_weights.pkl\"))\n",
        "    print(\"Saved ensemble_weights.pkl to final_models\")\n",
        "else:\n",
        "    print(\"ensemble_weights.pkl not found; create and save it if needed.\")\n",
        "\n",
        "print(\"Final models saved to:\", outdir)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SYM2ivpCRO_k",
        "outputId": "a4a60eef-6a55-431c-e43d-f2f9f184afa4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saved preprocessor from memory to: /content/model_results/final_models/preprocessor.joblib\n",
            "Saved ensemble_weights.pkl to final_models\n",
            "Final models saved to: /content/model_results/final_models\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cell D - write Streamlit app skeleton (simple)\n",
        "app_py = \"\"\"\n",
        "import streamlit as st\n",
        "import joblib\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "\n",
        "st.title('Heart Attack Risk Predictor (Ensemble Demo)')\n",
        "\n",
        "# load models and preprocessor\n",
        "model_dir = \"model_results/final_models\"\n",
        "preproc = joblib.load(model_dir + \"/preprocessor.joblib\")\n",
        "xgb = joblib.load(model_dir + \"/xgb_full.joblib\")\n",
        "cat = joblib.load(model_dir + \"/cat_full.joblib\")\n",
        "weights = joblib.load(model_dir + \"/ensemble_weights.pkl\") if (model_dir + \"/ensemble_weights.pkl\") else {'w_xgb':0.5,'w_cat':0.5}\n",
        "\n",
        "# example inputs - replace/add all your features as needed\n",
        "age = st.number_input(\"Age (years)\", min_value=20, max_value=120, value=50)\n",
        "height = st.number_input(\"Height (cm)\", min_value=100, max_value=220, value=170)\n",
        "weight = st.number_input(\"Weight (kg)\", min_value=30, max_value=200, value=70)\n",
        "# ... add other feature UI elements here ...\n",
        "\n",
        "if st.button(\"Predict (example)\"):\n",
        "    # build input_df matching your raw features order\n",
        "    input_df = pd.DataFrame([{\n",
        "        'age_years': age,\n",
        "        'height': height,\n",
        "        'weight': weight,\n",
        "        # ... fill out other required features with defaults or UI values ...\n",
        "    }])\n",
        "    Xp = preproc.transform(input_df)\n",
        "    p_xgb = xgb.predict_proba(Xp)[:,1]\n",
        "    p_cat = cat.predict_proba(Xp)[:,1]\n",
        "    p_ens = weights.get('w_xgb',0.5) * p_xgb + weights.get('w_cat',0.5) * p_cat\n",
        "    st.write(f\"Ensemble risk probability: {p_ens[0]:.3f}\")\n",
        "\"\"\"\n",
        "with open(\"/content/streamlit_app.py\",\"w\") as f:\n",
        "    f.write(app_py)\n",
        "print(\"Streamlit app skeleton saved to /content/streamlit_app.py\")\n",
        "print(\"To run locally: streamlit run streamlit_app.py\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CLWm9qdnSHXa",
        "outputId": "1ea16334-3ee1-46e6-fc71-6e5ca3d7a75b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Streamlit app skeleton saved to /content/streamlit_app.py\n",
            "To run locally: streamlit run streamlit_app.py\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!zip -r /content/submission_package.zip /content/model_results"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IRmQ4-mBUCOA",
        "outputId": "0f49c089-d27a-4f70-f778-60044a28f84e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  adding: content/model_results/ (stored 0%)\n",
            "  adding: content/model_results/catboost_feature_importance_top15_named.png (deflated 23%)\n",
            "  adding: content/model_results/shap_force_highest_risk.png (deflated 13%)\n",
            "  adding: content/model_results/LightGBM.joblib (deflated 58%)\n",
            "  adding: content/model_results/ensemble_predictions_weighted.csv (deflated 56%)\n",
            "  adding: content/model_results/CatBoost.joblib (deflated 56%)\n",
            "  adding: content/model_results/ensemble_weights.pkl (deflated 34%)\n",
            "  adding: content/model_results/XGBoost.joblib (deflated 67%)\n",
            "  adding: content/model_results/model_performance_comparison.png (deflated 24%)\n",
            "  adding: content/model_results/RandomForest.joblib (deflated 76%)\n",
            "  adding: content/model_results/shap_summary_cat.png (deflated 8%)\n",
            "  adding: content/model_results/model_metrics_summary.csv (deflated 50%)\n",
            "  adding: content/model_results/processed_feature_names.txt (deflated 47%)\n",
            "  adding: content/model_results/acc_recall_comparison.png (deflated 25%)\n",
            "  adding: content/model_results/final_models/ (stored 0%)\n",
            "  adding: content/model_results/final_models/preprocessor.joblib (deflated 58%)\n",
            "  adding: content/model_results/final_models/CatBoost.joblib (deflated 56%)\n",
            "  adding: content/model_results/final_models/ensemble_weights.pkl (deflated 34%)\n",
            "  adding: content/model_results/final_models/XGBoost.joblib (deflated 67%)\n",
            "  adding: content/model_results/confusion_matrix_weighted.png (deflated 12%)\n",
            "  adding: content/model_results/roc_overlay_weighted.png (deflated 10%)\n",
            "  adding: content/model_results/catboost_feature_importance_top15.png (deflated 21%)\n",
            "  adding: content/model_results/roc_overlay_all_models.png (deflated 10%)\n",
            "  adding: content/model_results/LogisticRegression.joblib (deflated 23%)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "id": "gdCIDp9wUIH3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import files\n",
        "uploaded = files.upload()  # choose models.zip and cardio_train_extended.csv"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 137
        },
        "id": "i4XiMCFhxslw",
        "outputId": "a4265dad-4919-4cfe-9dbc-0d69acf8cfba"
      },
      "execution_count": null,
      "outputs": [
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              "     <input type=\"file\" id=\"files-3cb812d4-6d07-4775-add4-11361902fa59\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-3cb812d4-6d07-4775-add4-11361902fa59\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script>// Copyright 2017 Google LLC\n",
              "//\n",
              "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
              "// you may not use this file except in compliance with the License.\n",
              "// You may obtain a copy of the License at\n",
              "//\n",
              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
              "//\n",
              "// Unless required by applicable law or agreed to in writing, software\n",
              "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
              "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
              "// See the License for the specific language governing permissions and\n",
              "// limitations under the License.\n",
              "\n",
              "/**\n",
              " * @fileoverview Helpers for google.colab Python module.\n",
              " */\n",
              "(function(scope) {\n",
              "function span(text, styleAttributes = {}) {\n",
              "  const element = document.createElement('span');\n",
              "  element.textContent = text;\n",
              "  for (const key of Object.keys(styleAttributes)) {\n",
              "    element.style[key] = styleAttributes[key];\n",
              "  }\n",
              "  return element;\n",
              "}\n",
              "\n",
              "// Max number of bytes which will be uploaded at a time.\n",
              "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
              "\n",
              "function _uploadFiles(inputId, outputId) {\n",
              "  const steps = uploadFilesStep(inputId, outputId);\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  // Cache steps on the outputElement to make it available for the next call\n",
              "  // to uploadFilesContinue from Python.\n",
              "  outputElement.steps = steps;\n",
              "\n",
              "  return _uploadFilesContinue(outputId);\n",
              "}\n",
              "\n",
              "// This is roughly an async generator (not supported in the browser yet),\n",
              "// where there are multiple asynchronous steps and the Python side is going\n",
              "// to poll for completion of each step.\n",
              "// This uses a Promise to block the python side on completion of each step,\n",
              "// then passes the result of the previous step as the input to the next step.\n",
              "function _uploadFilesContinue(outputId) {\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  const steps = outputElement.steps;\n",
              "\n",
              "  const next = steps.next(outputElement.lastPromiseValue);\n",
              "  return Promise.resolve(next.value.promise).then((value) => {\n",
              "    // Cache the last promise value to make it available to the next\n",
              "    // step of the generator.\n",
              "    outputElement.lastPromiseValue = value;\n",
              "    return next.value.response;\n",
              "  });\n",
              "}\n",
              "\n",
              "/**\n",
              " * Generator function which is called between each async step of the upload\n",
              " * process.\n",
              " * @param {string} inputId Element ID of the input file picker element.\n",
              " * @param {string} outputId Element ID of the output display.\n",
              " * @return {!Iterable<!Object>} Iterable of next steps.\n",
              " */\n",
              "function* uploadFilesStep(inputId, outputId) {\n",
              "  const inputElement = document.getElementById(inputId);\n",
              "  inputElement.disabled = false;\n",
              "\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  outputElement.innerHTML = '';\n",
              "\n",
              "  const pickedPromise = new Promise((resolve) => {\n",
              "    inputElement.addEventListener('change', (e) => {\n",
              "      resolve(e.target.files);\n",
              "    });\n",
              "  });\n",
              "\n",
              "  const cancel = document.createElement('button');\n",
              "  inputElement.parentElement.appendChild(cancel);\n",
              "  cancel.textContent = 'Cancel upload';\n",
              "  const cancelPromise = new Promise((resolve) => {\n",
              "    cancel.onclick = () => {\n",
              "      resolve(null);\n",
              "    };\n",
              "  });\n",
              "\n",
              "  // Wait for the user to pick the files.\n",
              "  const files = yield {\n",
              "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
              "    response: {\n",
              "      action: 'starting',\n",
              "    }\n",
              "  };\n",
              "\n",
              "  cancel.remove();\n",
              "\n",
              "  // Disable the input element since further picks are not allowed.\n",
              "  inputElement.disabled = true;\n",
              "\n",
              "  if (!files) {\n",
              "    return {\n",
              "      response: {\n",
              "        action: 'complete',\n",
              "      }\n",
              "    };\n",
              "  }\n",
              "\n",
              "  for (const file of files) {\n",
              "    const li = document.createElement('li');\n",
              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
              "    li.append(span(\n",
              "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
              "        `last modified: ${\n",
              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
              "                                    'n/a'} - `));\n",
              "    const percent = span('0% done');\n",
              "    li.appendChild(percent);\n",
              "\n",
              "    outputElement.appendChild(li);\n",
              "\n",
              "    const fileDataPromise = new Promise((resolve) => {\n",
              "      const reader = new FileReader();\n",
              "      reader.onload = (e) => {\n",
              "        resolve(e.target.result);\n",
              "      };\n",
              "      reader.readAsArrayBuffer(file);\n",
              "    });\n",
              "    // Wait for the data to be ready.\n",
              "    let fileData = yield {\n",
              "      promise: fileDataPromise,\n",
              "      response: {\n",
              "        action: 'continue',\n",
              "      }\n",
              "    };\n",
              "\n",
              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
              "    let position = 0;\n",
              "    do {\n",
              "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
              "      const chunk = new Uint8Array(fileData, position, length);\n",
              "      position += length;\n",
              "\n",
              "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
              "      yield {\n",
              "        response: {\n",
              "          action: 'append',\n",
              "          file: file.name,\n",
              "          data: base64,\n",
              "        },\n",
              "      };\n",
              "\n",
              "      let percentDone = fileData.byteLength === 0 ?\n",
              "          100 :\n",
              "          Math.round((position / fileData.byteLength) * 100);\n",
              "      percent.textContent = `${percentDone}% done`;\n",
              "\n",
              "    } while (position < fileData.byteLength);\n",
              "  }\n",
              "\n",
              "  // All done.\n",
              "  yield {\n",
              "    response: {\n",
              "      action: 'complete',\n",
              "    }\n",
              "  };\n",
              "}\n",
              "\n",
              "scope.google = scope.google || {};\n",
              "scope.google.colab = scope.google.colab || {};\n",
              "scope.google.colab._files = {\n",
              "  _uploadFiles,\n",
              "  _uploadFilesContinue,\n",
              "};\n",
              "})(self);\n",
              "</script> "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving ensemble_weights.json to ensemble_weights.json\n",
            "Saving feature_info.json to feature_info.json\n",
            "Saving cat_model.joblib to cat_model.joblib\n",
            "Saving xgb_model.joblib to xgb_model.joblib\n",
            "Saving preprocessor.joblib to preprocessor.joblib\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import files\n",
        "uploaded = files.upload()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 69
        },
        "id": "AzpY_iacyyjY",
        "outputId": "d225f8fe-e632-4e13-b0e5-16abebb45631"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-45d7cad7-f730-417b-b07c-fdfaef95cd04\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-45d7cad7-f730-417b-b07c-fdfaef95cd04\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script>// Copyright 2017 Google LLC\n",
              "//\n",
              "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
              "// you may not use this file except in compliance with the License.\n",
              "// You may obtain a copy of the License at\n",
              "//\n",
              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
              "//\n",
              "// Unless required by applicable law or agreed to in writing, software\n",
              "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
              "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
              "// See the License for the specific language governing permissions and\n",
              "// limitations under the License.\n",
              "\n",
              "/**\n",
              " * @fileoverview Helpers for google.colab Python module.\n",
              " */\n",
              "(function(scope) {\n",
              "function span(text, styleAttributes = {}) {\n",
              "  const element = document.createElement('span');\n",
              "  element.textContent = text;\n",
              "  for (const key of Object.keys(styleAttributes)) {\n",
              "    element.style[key] = styleAttributes[key];\n",
              "  }\n",
              "  return element;\n",
              "}\n",
              "\n",
              "// Max number of bytes which will be uploaded at a time.\n",
              "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
              "\n",
              "function _uploadFiles(inputId, outputId) {\n",
              "  const steps = uploadFilesStep(inputId, outputId);\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  // Cache steps on the outputElement to make it available for the next call\n",
              "  // to uploadFilesContinue from Python.\n",
              "  outputElement.steps = steps;\n",
              "\n",
              "  return _uploadFilesContinue(outputId);\n",
              "}\n",
              "\n",
              "// This is roughly an async generator (not supported in the browser yet),\n",
              "// where there are multiple asynchronous steps and the Python side is going\n",
              "// to poll for completion of each step.\n",
              "// This uses a Promise to block the python side on completion of each step,\n",
              "// then passes the result of the previous step as the input to the next step.\n",
              "function _uploadFilesContinue(outputId) {\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  const steps = outputElement.steps;\n",
              "\n",
              "  const next = steps.next(outputElement.lastPromiseValue);\n",
              "  return Promise.resolve(next.value.promise).then((value) => {\n",
              "    // Cache the last promise value to make it available to the next\n",
              "    // step of the generator.\n",
              "    outputElement.lastPromiseValue = value;\n",
              "    return next.value.response;\n",
              "  });\n",
              "}\n",
              "\n",
              "/**\n",
              " * Generator function which is called between each async step of the upload\n",
              " * process.\n",
              " * @param {string} inputId Element ID of the input file picker element.\n",
              " * @param {string} outputId Element ID of the output display.\n",
              " * @return {!Iterable<!Object>} Iterable of next steps.\n",
              " */\n",
              "function* uploadFilesStep(inputId, outputId) {\n",
              "  const inputElement = document.getElementById(inputId);\n",
              "  inputElement.disabled = false;\n",
              "\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  outputElement.innerHTML = '';\n",
              "\n",
              "  const pickedPromise = new Promise((resolve) => {\n",
              "    inputElement.addEventListener('change', (e) => {\n",
              "      resolve(e.target.files);\n",
              "    });\n",
              "  });\n",
              "\n",
              "  const cancel = document.createElement('button');\n",
              "  inputElement.parentElement.appendChild(cancel);\n",
              "  cancel.textContent = 'Cancel upload';\n",
              "  const cancelPromise = new Promise((resolve) => {\n",
              "    cancel.onclick = () => {\n",
              "      resolve(null);\n",
              "    };\n",
              "  });\n",
              "\n",
              "  // Wait for the user to pick the files.\n",
              "  const files = yield {\n",
              "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
              "    response: {\n",
              "      action: 'starting',\n",
              "    }\n",
              "  };\n",
              "\n",
              "  cancel.remove();\n",
              "\n",
              "  // Disable the input element since further picks are not allowed.\n",
              "  inputElement.disabled = true;\n",
              "\n",
              "  if (!files) {\n",
              "    return {\n",
              "      response: {\n",
              "        action: 'complete',\n",
              "      }\n",
              "    };\n",
              "  }\n",
              "\n",
              "  for (const file of files) {\n",
              "    const li = document.createElement('li');\n",
              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
              "    li.append(span(\n",
              "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
              "        `last modified: ${\n",
              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
              "                                    'n/a'} - `));\n",
              "    const percent = span('0% done');\n",
              "    li.appendChild(percent);\n",
              "\n",
              "    outputElement.appendChild(li);\n",
              "\n",
              "    const fileDataPromise = new Promise((resolve) => {\n",
              "      const reader = new FileReader();\n",
              "      reader.onload = (e) => {\n",
              "        resolve(e.target.result);\n",
              "      };\n",
              "      reader.readAsArrayBuffer(file);\n",
              "    });\n",
              "    // Wait for the data to be ready.\n",
              "    let fileData = yield {\n",
              "      promise: fileDataPromise,\n",
              "      response: {\n",
              "        action: 'continue',\n",
              "      }\n",
              "    };\n",
              "\n",
              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
              "    let position = 0;\n",
              "    do {\n",
              "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
              "      const chunk = new Uint8Array(fileData, position, length);\n",
              "      position += length;\n",
              "\n",
              "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
              "      yield {\n",
              "        response: {\n",
              "          action: 'append',\n",
              "          file: file.name,\n",
              "          data: base64,\n",
              "        },\n",
              "      };\n",
              "\n",
              "      let percentDone = fileData.byteLength === 0 ?\n",
              "          100 :\n",
              "          Math.round((position / fileData.byteLength) * 100);\n",
              "      percent.textContent = `${percentDone}% done`;\n",
              "\n",
              "    } while (position < fileData.byteLength);\n",
              "  }\n",
              "\n",
              "  // All done.\n",
              "  yield {\n",
              "    response: {\n",
              "      action: 'complete',\n",
              "    }\n",
              "  };\n",
              "}\n",
              "\n",
              "scope.google = scope.google || {};\n",
              "scope.google.colab = scope.google.colab || {};\n",
              "scope.google.colab._files = {\n",
              "  _uploadFiles,\n",
              "  _uploadFilesContinue,\n",
              "};\n",
              "})(self);\n",
              "</script> "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving cardio_train_extended.csv to cardio_train_extended (1).csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os, glob, pprint\n",
        "print(\"Root files:\")\n",
        "pprint.pprint(os.listdir(\"/content\"))\n",
        "print(\"\\nmodels/ folder:\")\n",
        "print(os.listdir(\"/content/models\") if os.path.exists(\"/content/models\") else \"no /content/models yet\")\n",
        "\n",
        "print(\"\\nAny joblibs anywhere under /content:\")\n",
        "for p in glob.glob(\"/content/**/*.joblib\", recursive=True):\n",
        "    print(\" -\", p)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3y_Kc2v_tSSs",
        "outputId": "6d60d6c7-3f08-4829-d5ff-f83cad3b6b65"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Root files:\n",
            "['.config',\n",
            " 'cardio_train_extended (1).csv',\n",
            " 'feature_info.json',\n",
            " 'ensemble_weights.json',\n",
            " 'preprocessor.joblib',\n",
            " 'xgb_model.joblib',\n",
            " 'cat_model.joblib',\n",
            " 'model_results',\n",
            " 'cardio_train_extended.csv',\n",
            " 'drive',\n",
            " 'sample_data']\n",
            "\n",
            "models/ folder:\n",
            "no /content/models yet\n",
            "\n",
            "Any joblibs anywhere under /content:\n",
            " - /content/preprocessor.joblib\n",
            " - /content/xgb_model.joblib\n",
            " - /content/cat_model.joblib\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# SHAP summary bar plot for CatBoost on X_test; saves /content/shap_summary_cat.png\n",
        "\n",
        "!pip -q install shap catboost scikit-learn joblib matplotlib seaborn\n",
        "\n",
        "import os, json, joblib, numpy as np, pandas as pd, matplotlib.pyplot as plt, shap\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "# Use files that are already in /content\n",
        "preprocessor_path = \"/content/preprocessor.joblib\"\n",
        "cat_model_path    = \"/content/cat_model.joblib\"\n",
        "feature_info_json = \"/content/feature_info.json\"  # present in your root\n",
        "data_path         = \"/content/cardio_train_extended.csv\"  # you also have a duplicate \"(1)\" file; either is fine\n",
        "\n",
        "for p in [preprocessor_path, cat_model_path, feature_info_json, data_path]:\n",
        "    if not os.path.exists(p):\n",
        "        raise FileNotFoundError(f\"Missing: {p}\")\n",
        "\n",
        "preprocessor = joblib.load(preprocessor_path)\n",
        "cat_model    = joblib.load(cat_model_path)\n",
        "\n",
        "with open(feature_info_json, \"r\") as f:\n",
        "    info = json.load(f)\n",
        "\n",
        "# Use training-consistent config\n",
        "drop_cols = info.get(\"drop_cols\", ['id','age','Reason'])\n",
        "processed_feature_names = info.get(\"processed_feature_names\")\n",
        "\n",
        "df = pd.read_csv(data_path)\n",
        "drop_cols = [c for c in drop_cols if c in df.columns]\n",
        "X = df.drop(columns=drop_cols + ['cardio'])\n",
        "y = df['cardio']\n",
        "\n",
        "Xtr_raw, Xte_raw, ytr, yte = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)\n",
        "Xte = preprocessor.transform(Xte_raw)\n",
        "\n",
        "# Feature names\n",
        "if not processed_feature_names or len(processed_feature_names) != Xte.shape[1]:\n",
        "    try:\n",
        "        processed_feature_names = list(preprocessor.get_feature_names_out())\n",
        "    except Exception:\n",
        "        processed_feature_names = [f\"f{i}\" for i in range(Xte.shape[1])]\n",
        "\n",
        "# Sample for speed\n",
        "n = Xte.shape[0]\n",
        "idx = np.random.choice(n, size=min(5000, n), replace=False)\n",
        "X_shap = Xte[idx]\n",
        "\n",
        "def shap_summary_bar(model, X, feature_names, out_path):\n",
        "    try:\n",
        "        explainer = shap.TreeExplainer(model)\n",
        "        sv = explainer.shap_values(X)\n",
        "        if isinstance(sv, list) and len(sv) > 1:\n",
        "            sv = sv[1]\n",
        "        plt.figure(figsize=(10, 6))\n",
        "        shap.summary_plot(sv, X, feature_names=feature_names, plot_type=\"bar\", show=False)\n",
        "        plt.tight_layout(); plt.savefig(out_path, dpi=200, bbox_inches=\"tight\"); plt.close()\n",
        "    except Exception as e:\n",
        "        print(\"TreeExplainer failed, fallback:\", e)\n",
        "        shap_vals = model.get_feature_importance(type=\"ShapValues\", data=X)\n",
        "        shap_vals = np.array(shap_vals)\n",
        "        if shap_vals.ndim == 2 and shap_vals.shape[1] == X.shape[1] + 1:\n",
        "            shap_vals = shap_vals[:, :-1]\n",
        "        mean_abs = np.mean(np.abs(shap_vals), axis=0)\n",
        "        order = np.argsort(mean_abs)[::-1]; topk = min(30, len(order))\n",
        "        plt.figure(figsize=(10, 6))\n",
        "        plt.barh(np.array(feature_names)[order][:topk][::-1], mean_abs[order][:topk][::-1], color=\"#4e79a7\")\n",
        "        plt.xlabel(\"Mean |SHAP value|\"); plt.title(\"SHAP summary (bar) – CatBoost\")\n",
        "        plt.tight_layout(); plt.savefig(out_path, dpi=200, bbox_inches=\"tight\"); plt.close()\n",
        "\n",
        "out_path = \"/content/shap_summary_cat.png\"\n",
        "shap_summary_bar(cat_model, X_shap, processed_feature_names, out_path)\n",
        "print(\"Saved:\", out_path)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mJNkhi5L0bzH",
        "outputId": "ef050d54-1ea0-4612-ef54-8c1f2b2788fd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/sklearn/base.py:380: InconsistentVersionWarning: Trying to unpickle estimator SimpleImputer from version 1.7.2 when using version 1.6.1. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:\n",
            "https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/sklearn/base.py:380: InconsistentVersionWarning: Trying to unpickle estimator StandardScaler from version 1.7.2 when using version 1.6.1. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:\n",
            "https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/sklearn/base.py:380: InconsistentVersionWarning: Trying to unpickle estimator Pipeline from version 1.7.2 when using version 1.6.1. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:\n",
            "https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/sklearn/base.py:380: InconsistentVersionWarning: Trying to unpickle estimator OneHotEncoder from version 1.7.2 when using version 1.6.1. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:\n",
            "https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/sklearn/base.py:380: InconsistentVersionWarning: Trying to unpickle estimator ColumnTransformer from version 1.7.2 when using version 1.6.1. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:\n",
            "https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations\n",
            "  warnings.warn(\n",
            "/tmp/ipython-input-2374800121.py:55: FutureWarning: The NumPy global RNG was seeded by calling `np.random.seed`. In a future version this function will no longer use the global RNG. Pass `rng` explicitly to opt-in to the new behaviour and silence this warning.\n",
            "  shap.summary_plot(sv, X, feature_names=feature_names, plot_type=\"bar\", show=False)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saved: /content/shap_summary_cat.png\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Generate hybrid_zone_counts.png (Mapping A, recall-focused) and\n",
        "# hybrid_zone_positive_rate.png (Mapping B, precision-focused)\n",
        "\n",
        "!pip -q install seaborn matplotlib scikit-learn joblib\n",
        "\n",
        "import os, json, joblib, numpy as np, pandas as pd, matplotlib.pyplot as plt, seaborn as sns\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "# Use files already in /content\n",
        "preprocessor_path = \"/content/preprocessor.joblib\"\n",
        "cat_model_path    = \"/content/cat_model.joblib\"\n",
        "feature_info_json = \"/content/feature_info.json\"\n",
        "data_path         = \"/content/cardio_train_extended.csv\"\n",
        "\n",
        "for p in [preprocessor_path, cat_model_path, feature_info_json, data_path]:\n",
        "    if not os.path.exists(p):\n",
        "        raise FileNotFoundError(f\"Missing: {p}\")\n",
        "\n",
        "preprocessor = joblib.load(preprocessor_path)\n",
        "cat_model    = joblib.load(cat_model_path)\n",
        "with open(feature_info_json, \"r\") as f:\n",
        "    info = json.load(f)\n",
        "\n",
        "drop_cols = info.get(\"drop_cols\", ['id','age','Reason'])\n",
        "drop_cols = [c for c in drop_cols if c in pd.read_csv(data_path, nrows=1).columns]\n",
        "\n",
        "# Data and split\n",
        "df = pd.read_csv(data_path)\n",
        "X = df.drop(columns=drop_cols + ['cardio'])\n",
        "y = df['cardio']\n",
        "Xtr_raw, Xte_raw, ytr, yte = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)\n",
        "\n",
        "# Transform and predict probabilities\n",
        "Xte = preprocessor.transform(Xte_raw)\n",
        "probs = cat_model.predict_proba(Xte)[:, 1]\n",
        "\n",
        "# Define risk zones\n",
        "def zone(p):\n",
        "    if p < 0.30: return \"Low\"\n",
        "    if p < 0.70: return \"Moderate\"\n",
        "    return \"High\"\n",
        "zones = np.array([zone(p) for p in probs])\n",
        "\n",
        "# Mapping A: treat Moderate as positive (recall-focused)\n",
        "pred_A = np.where((zones == \"Moderate\") | (zones == \"High\"), 1, 0)\n",
        "df_A = pd.DataFrame({\"zone\": zones, \"y_true\": yte.values, \"pred\": pred_A})\n",
        "summary_A = df_A.groupby(\"zone\").agg(\n",
        "    actual_positive_rate=(\"y_true\", \"mean\"),\n",
        "    predicted_positive_rate=(\"pred\", \"mean\"),\n",
        "    count=(\"y_true\", \"size\")\n",
        ").reset_index()\n",
        "zone_order = [\"Low\", \"Moderate\", \"High\"]\n",
        "summary_A[\"zone\"] = pd.Categorical(summary_A[\"zone\"], categories=zone_order, ordered=True)\n",
        "summary_A = summary_A.sort_values(\"zone\")\n",
        "plot_A = summary_A.melt(id_vars=[\"zone\"], value_vars=[\"predicted_positive_rate\",\"actual_positive_rate\"],\n",
        "                        var_name=\"metric\", value_name=\"rate\")\n",
        "\n",
        "plt.figure(figsize=(9,6))\n",
        "sns.barplot(data=plot_A, x=\"zone\", y=\"rate\", hue=\"metric\", palette=[\"#1f77b4\",\"#ff7f0e\"])\n",
        "plt.ylim(0,1)\n",
        "plt.ylabel(\"Positive Rate\")\n",
        "plt.xlabel(\"Risk Category\")\n",
        "plt.title(\"Hybrid Mapping A – Recall-Focused Thresholding\")\n",
        "plt.legend(title=None, labels=[\"Predicted Positive Rate\",\"Actual Positive Rate\"])\n",
        "for i, r in summary_A.reset_index().iterrows():\n",
        "    plt.text(i-0.25, 0.02, f\"n={int(r['count'])}\", rotation=90, va=\"bottom\", fontsize=9)\n",
        "plt.tight_layout()\n",
        "path_A = \"/content/hybrid_zone_counts.png\"\n",
        "plt.savefig(path_A, dpi=200)\n",
        "plt.close()\n",
        "print(\"Saved:\", path_A)\n",
        "\n",
        "# Mapping B: treat Moderate as safe (precision-focused)\n",
        "pred_B = np.where(zones == \"High\", 1, 0)\n",
        "df_B = pd.DataFrame({\"zone\": zones, \"y_true\": yte.values, \"pred\": pred_B})\n",
        "summary_B = df_B.groupby(\"zone\").agg(\n",
        "    actual_positive_rate=(\"y_true\", \"mean\"),\n",
        "    predicted_positive_rate=(\"pred\", \"mean\"),\n",
        "    count=(\"y_true\", \"size\")\n",
        ").reset_index()\n",
        "summary_B[\"zone\"] = pd.Categorical(summary_B[\"zone\"], categories=zone_order, ordered=True)\n",
        "summary_B = summary_B.sort_values(\"zone\")\n",
        "plot_B = summary_B.melt(id_vars=[\"zone\"], value_vars=[\"predicted_positive_rate\",\"actual_positive_rate\"],\n",
        "                        var_name=\"metric\", value_name=\"rate\")\n",
        "\n",
        "plt.figure(figsize=(9,6))\n",
        "sns.barplot(data=plot_B, x=\"zone\", y=\"rate\", hue=\"metric\", palette=[\"#2ca02c\",\"#ff7f0e\"])\n",
        "plt.ylim(0,1)\n",
        "plt.ylabel(\"Positive Rate\")\n",
        "plt.xlabel(\"Risk Category\")\n",
        "plt.title(\"Hybrid Mapping B – Precision-Focused Thresholding\")\n",
        "plt.legend(title=None, labels=[\"Predicted Positive Rate\",\"Actual Positive Rate\"])\n",
        "for i, r in summary_B.reset_index().iterrows():\n",
        "    plt.text(i-0.25, 0.02, f\"n={int(r['count'])}\", rotation=90, va=\"bottom\", fontsize=9)\n",
        "plt.tight_layout()\n",
        "path_B = \"/content/hybrid_zone_positive_rate.png\"\n",
        "plt.savefig(path_B, dpi=200)\n",
        "plt.close()\n",
        "print(\"Saved:\", path_B)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7n6-YFbd1Y7D",
        "outputId": "31229b20-3719-468f-c96a-3bfdffb0dde4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/sklearn/base.py:380: InconsistentVersionWarning: Trying to unpickle estimator SimpleImputer from version 1.7.2 when using version 1.6.1. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:\n",
            "https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/sklearn/base.py:380: InconsistentVersionWarning: Trying to unpickle estimator StandardScaler from version 1.7.2 when using version 1.6.1. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:\n",
            "https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/sklearn/base.py:380: InconsistentVersionWarning: Trying to unpickle estimator Pipeline from version 1.7.2 when using version 1.6.1. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:\n",
            "https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/sklearn/base.py:380: InconsistentVersionWarning: Trying to unpickle estimator OneHotEncoder from version 1.7.2 when using version 1.6.1. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:\n",
            "https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/sklearn/base.py:380: InconsistentVersionWarning: Trying to unpickle estimator ColumnTransformer from version 1.7.2 when using version 1.6.1. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:\n",
            "https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saved: /content/hybrid_zone_counts.png\n",
            "Saved: /content/hybrid_zone_positive_rate.png\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip -q install scikit-learn xgboost catboost lightgbm imbalanced-learn joblib pandas matplotlib seaborn"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5dpz7LmeAROO",
        "outputId": "a1af771f-ffe0-4b1d-afe4-09037936b2cd"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m99.2/99.2 MB\u001b[0m \u001b[31m6.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os, json, joblib, numpy as np, pandas as pd\n",
        "from pathlib import Path\n",
        "from sklearn.model_selection import train_test_split, RandomizedSearchCV, StratifiedKFold\n",
        "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
        "from sklearn.compose import ColumnTransformer\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.impute import SimpleImputer\n",
        "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_auc_score\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from xgboost import XGBClassifier\n",
        "from catboost import CatBoostClassifier\n",
        "from lightgbm import LGBMClassifier\n",
        "\n",
        "# Paths\n",
        "BASE = Path(\"/content\").resolve()\n",
        "DATA_PATH = BASE / \"cardio_train_extended.csv\"\n",
        "MODELS_DIR = BASE / \"models\"\n",
        "MODELS_DIR.mkdir(parents=True, exist_ok=True)\n",
        "\n",
        "# Load data\n",
        "df = pd.read_csv(DATA_PATH)\n",
        "\n",
        "# Optional: ensure engineered features if missing (safe no-ops if already exist)\n",
        "if \"BMI\" not in df.columns:\n",
        "    df[\"BMI\"] = df[\"weight\"] / ((df[\"height\"]/100.0)**2)\n",
        "if \"BP_diff\" not in df.columns:\n",
        "    df[\"BP_diff\"] = df[\"ap_hi\"] - df[\"ap_lo\"]\n",
        "if \"MAP\" not in df.columns and {\"ap_hi\",\"ap_lo\"}.issubset(df.columns):\n",
        "    df[\"MAP\"] = (df[\"ap_hi\"] + 2*df[\"ap_lo\"]) / 3.0\n",
        "\n",
        "# Clean bounds (like your repo script)\n",
        "if \"ap_hi\" in df and \"ap_lo\" in df:\n",
        "    df[\"ap_hi\"] = df[\"ap_hi\"].clip(80, 250)\n",
        "    df[\"ap_lo\"] = df[\"ap_lo\"].clip(40, 150)\n",
        "if \"BMI\" in df:\n",
        "    df[\"BMI\"] = df[\"BMI\"].clip(10, 60)\n",
        "if \"BP_diff\" in df:\n",
        "    df[\"BP_diff\"] = df[\"ap_hi\"] - df[\"ap_lo\"]\n",
        "\n",
        "# Drop columns not for training\n",
        "drop_cols = [c for c in [\"id\",\"age\",\"Reason\"] if c in df.columns]\n",
        "X = df.drop(columns=drop_cols + [\"cardio\"])\n",
        "y = df[\"cardio\"].astype(int)\n",
        "\n",
        "# Identify columns\n",
        "cat_cols = [c for c in X.columns if X[c].dtype==\"object\" or str(X[c].dtype).startswith(\"category\")]\n",
        "num_cols = [c for c in X.columns if c not in cat_cols]\n",
        "\n",
        "# Preprocessor\n",
        "numeric_transformer = Pipeline(steps=[\n",
        "    (\"imputer\", SimpleImputer(strategy=\"median\")),\n",
        "    (\"scaler\", StandardScaler())\n",
        "])\n",
        "categorical_transformer = Pipeline(steps=[\n",
        "    (\"imputer\", SimpleImputer(strategy=\"most_frequent\")),\n",
        "    (\"onehot\", OneHotEncoder(handle_unknown=\"ignore\", sparse_output=False))\n",
        "])\n",
        "preprocessor = ColumnTransformer([\n",
        "    (\"num\", numeric_transformer, num_cols),\n",
        "    (\"cat\", categorical_transformer, cat_cols)\n",
        "], remainder=\"drop\")\n",
        "\n",
        "# Split\n",
        "X_train_raw, X_test_raw, y_train, y_test = train_test_split(\n",
        "    X, y, test_size=0.2, random_state=42, stratify=y\n",
        ")\n",
        "\n",
        "# Fit preprocessor\n",
        "X_train = preprocessor.fit_transform(X_train_raw)\n",
        "X_test  = preprocessor.transform(X_test_raw)\n",
        "\n",
        "# Feature names after preprocessing\n",
        "ohe_names = []\n",
        "if len(cat_cols) > 0:\n",
        "    ohe = preprocessor.named_transformers_[\"cat\"].named_steps[\"onehot\"]\n",
        "    ohe_names = list(ohe.get_feature_names_out(cat_cols))\n",
        "processed_feature_names = num_cols + ohe_names\n",
        "\n",
        "# Compute scale_pos_weight for boosting models\n",
        "pos = int((y_train==1).sum())\n",
        "neg = int((y_train==0).sum())\n",
        "scale_pos_weight = (neg/pos) if pos > 0 else 1.0\n",
        "\n",
        "# Models (baseline configs for speed)\n",
        "models = {\n",
        "    \"LogisticRegression\": LogisticRegression(max_iter=500, class_weight=\"balanced\", n_jobs=None),\n",
        "    \"RandomForest\": RandomForestClassifier(n_estimators=200, class_weight=\"balanced\", n_jobs=-1, random_state=42),\n",
        "    \"XGBoost\": XGBClassifier(\n",
        "        n_estimators=300, learning_rate=0.08, max_depth=6, subsample=0.8, colsample_bytree=0.8,\n",
        "        reg_lambda=1.0, reg_alpha=0.0, random_state=42, eval_metric=\"logloss\",\n",
        "        n_jobs=-1, tree_method=\"hist\", scale_pos_weight=scale_pos_weight\n",
        "    ),\n",
        "    \"CatBoost\": CatBoostClassifier(\n",
        "        iterations=600, depth=6, learning_rate=0.05, random_seed=42, verbose=0, loss_function=\"Logloss\"\n",
        "    ),\n",
        "    \"LightGBM\": LGBMClassifier(\n",
        "        n_estimators=400, learning_rate=0.05, max_depth=-1, subsample=0.8, colsample_bytree=0.8,\n",
        "        reg_lambda=1.0, random_state=42, n_jobs=-1, class_weight=\"balanced\"\n",
        "    )\n",
        "}\n",
        "\n",
        "# Train\n",
        "fitted = {}\n",
        "for name, model in models.items():\n",
        "    print(f\"Training {name} ...\")\n",
        "    model.fit(X_train, y_train)\n",
        "    fitted[name] = model\n",
        "    joblib.dump(model, MODELS_DIR / f\"{name}.joblib\")\n",
        "\n",
        "# Evaluate helper\n",
        "def eval_model(name, model, Xte, yte):\n",
        "    prob = model.predict_proba(Xte)[:,1]\n",
        "    pred = (prob >= 0.5).astype(int)\n",
        "    return {\n",
        "        \"model\": name,\n",
        "        \"accuracy\": accuracy_score(yte, pred),\n",
        "        \"precision\": precision_score(yte, pred, zero_division=0),\n",
        "        \"recall\": recall_score(yte, pred, zero_division=0),\n",
        "        \"f1\": f1_score(yte, pred, zero_division=0),\n",
        "        \"roc_auc\": roc_auc_score(yte, prob)\n",
        "    }\n",
        "\n",
        "# Metrics table\n",
        "rows = []\n",
        "for name, model in fitted.items():\n",
        "    rows.append(eval_model(name, model, X_test, y_test))\n",
        "metrics_df = pd.DataFrame(rows).set_index(\"model\").sort_index()\n",
        "metrics_csv = MODELS_DIR / \"model_metrics.csv\"\n",
        "metrics_df.to_csv(metrics_csv)\n",
        "print(\"\\nModel metrics saved to:\", metrics_csv)\n",
        "display(metrics_df)\n",
        "\n",
        "# Save preprocessor + feature info + default ensemble weights\n",
        "joblib.dump(preprocessor, MODELS_DIR / \"preprocessor.joblib\")\n",
        "feature_info = {\n",
        "    \"num_cols\": num_cols,\n",
        "    \"cat_cols\": cat_cols,\n",
        "    \"processed_feature_names\": processed_feature_names,\n",
        "    \"drop_cols\": drop_cols\n",
        "}\n",
        "with open(MODELS_DIR / \"feature_info.json\",\"w\") as f:\n",
        "    json.dump(feature_info, f, indent=2)\n",
        "\n",
        "# Ensemble (XGB + CatBoost 50/50)\n",
        "w_xgb = 0.5\n",
        "w_cat = 0.5\n",
        "ensemble_weights = {\"w_xgb\": w_xgb, \"w_cat\": w_cat}\n",
        "with open(MODELS_DIR / \"ensemble_weights.json\",\"w\") as f:\n",
        "    json.dump(ensemble_weights, f)\n",
        "\n",
        "xgb_prob = fitted[\"XGBoost\"].predict_proba(X_test)[:,1]\n",
        "cat_prob = fitted[\"CatBoost\"].predict_proba(X_test)[:,1]\n",
        "ensemble_prob = w_xgb * xgb_prob + w_cat * cat_prob\n",
        "\n",
        "# Hybrid thresholds\n",
        "th_low, th_high = 0.30, 0.70\n",
        "\n",
        "# Hybrid A: treat Moderate as positive (recall-focused)\n",
        "predA = np.where((ensemble_prob < th_low), 0,\n",
        "         np.where((ensemble_prob < th_high), 1, 1)).astype(int)\n",
        "\n",
        "# Hybrid B: treat Moderate as negative (precision-focused)\n",
        "predB = np.where((ensemble_prob < th_low), 0,\n",
        "         np.where((ensemble_prob < th_high), 0, 1)).astype(int)\n",
        "\n",
        "def metrics_for_preds(name, pred, prob, y_true):\n",
        "    return {\n",
        "        \"version\": name,\n",
        "        \"accuracy\": accuracy_score(y_true, pred),\n",
        "        \"precision\": precision_score(y_true, pred, zero_division=0),\n",
        "        \"recall\": recall_score(y_true, pred, zero_division=0),\n",
        "        \"f1\": f1_score(y_true, pred, zero_division=0),\n",
        "        \"roc_auc\": roc_auc_score(y_true, prob)\n",
        "    }\n",
        "\n",
        "hybrid_rows = []\n",
        "# Baseline single threshold 0.5 (for reference)\n",
        "pred05 = (ensemble_prob >= 0.5).astype(int)\n",
        "hybrid_rows.append(metrics_for_preds(\"Ensemble@0.5\", pred05, ensemble_prob, y_test))\n",
        "# Hybrid A / B\n",
        "hybrid_rows.append(metrics_for_preds(\"HybridA (moderate=positive)\", predA, ensemble_prob, y_test))\n",
        "hybrid_rows.append(metrics_for_preds(\"HybridB (moderate=negative)\", predB, ensemble_prob, y_test))\n",
        "hybrid_df = pd.DataFrame(hybrid_rows).set_index(\"version\")\n",
        "hybrid_csv = MODELS_DIR / \"hybrid_metrics.csv\"\n",
        "hybrid_df.to_csv(hybrid_csv)\n",
        "print(\"\\nHybrid metrics saved to:\", hybrid_csv)\n",
        "display(hybrid_df)\n",
        "\n",
        "print(\"\\nArtifacts saved under:\", MODELS_DIR)\n",
        "print(\"Saved files:\")\n",
        "for p in sorted(MODELS_DIR.iterdir()):\n",
        "    print(\" -\", p)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 955
        },
        "id": "x6Dn8fDIAlLy",
        "outputId": "b92b0743-0aac-459a-fe98-7d81e1660775"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training LogisticRegression ...\n",
            "Training RandomForest ...\n",
            "Training XGBoost ...\n",
            "Training CatBoost ...\n",
            "Training LightGBM ...\n",
            "[LightGBM] [Info] Number of positive: 27983, number of negative: 28017\n",
            "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.063798 seconds.\n",
            "You can set `force_row_wise=true` to remove the overhead.\n",
            "And if memory is not enough, you can set `force_col_wise=true`.\n",
            "[LightGBM] [Info] Total Bins 2000\n",
            "[LightGBM] [Info] Number of data points in the train set: 56000, number of used features: 39\n",
            "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n",
            "[LightGBM] [Info] Start training from score -0.000000\n"
          ]
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        {
          "output_type": "stream",
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          "text": [
            "/usr/local/lib/python3.12/dist-packages/sklearn/utils/validation.py:2739: UserWarning: X does not have valid feature names, but LGBMClassifier was fitted with feature names\n",
            "  warnings.warn(\n"
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          "text": [
            "\n",
            "Model metrics saved to: /content/models/model_metrics.csv\n"
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            "text/plain": [
              "                    accuracy  precision    recall        f1   roc_auc\n",
              "model                                                                \n",
              "CatBoost            0.850143   0.856270  0.841338  0.848738  0.924501\n",
              "LightGBM            0.849429   0.854923  0.841481  0.848149  0.924342\n",
              "LogisticRegression  0.844143   0.846431  0.840623  0.843517  0.917265\n",
              "RandomForest        0.844071   0.841590  0.847484  0.844527  0.915641\n",
              "XGBoost             0.848357   0.854194  0.839909  0.846991  0.922514"
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              "      <th></th>\n",
              "      <th>accuracy</th>\n",
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              "      <th>CatBoost</th>\n",
              "      <td>0.850143</td>\n",
              "      <td>0.856270</td>\n",
              "      <td>0.841338</td>\n",
              "      <td>0.848738</td>\n",
              "      <td>0.924501</td>\n",
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              "      <th>LightGBM</th>\n",
              "      <td>0.849429</td>\n",
              "      <td>0.854923</td>\n",
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              "      <td>0.848149</td>\n",
              "      <td>0.924342</td>\n",
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              "      <th>LogisticRegression</th>\n",
              "      <td>0.844143</td>\n",
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              "      <td>0.854194</td>\n",
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              "      <td>0.846991</td>\n",
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            "Hybrid metrics saved to: /content/models/hybrid_metrics.csv\n"
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            "text/plain": [
              "                             accuracy  precision    recall        f1   roc_auc\n",
              "version                                                                       \n",
              "Ensemble@0.5                 0.849286   0.855294  0.840623  0.847895  0.924022\n",
              "HybridA (moderate=positive)  0.824714   0.777493  0.909520  0.838340  0.924022\n",
              "HybridB (moderate=negative)  0.835286   0.915191  0.738851  0.817621  0.924022"
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              "      <th>Ensemble@0.5</th>\n",
              "      <td>0.849286</td>\n",
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              "      <td>0.909520</td>\n",
              "      <td>0.838340</td>\n",
              "      <td>0.924022</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>HybridB (moderate=negative)</th>\n",
              "      <td>0.835286</td>\n",
              "      <td>0.915191</td>\n",
              "      <td>0.738851</td>\n",
              "      <td>0.817621</td>\n",
              "      <td>0.924022</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
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              "\n",
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              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
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              "    [theme=dark] .colab-df-convert {\n",
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              "        document.querySelector('#df-160ddea4-cb15-4475-91b4-fed592127759 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-160ddea4-cb15-4475-91b4-fed592127759');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "\n",
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              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "  .colab-df-quickchart-complete:disabled,\n",
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              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    }\n",
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              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "      <script>\n",
              "        async function quickchart(key) {\n",
              "          const quickchartButtonEl =\n",
              "            document.querySelector('#' + key + ' button');\n",
              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "          try {\n",
              "            const charts = await google.colab.kernel.invokeFunction(\n",
              "                'suggestCharts', [key], {});\n",
              "          } catch (error) {\n",
              "            console.error('Error during call to suggestCharts:', error);\n",
              "          }\n",
              "          quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "        }\n",
              "        (() => {\n",
              "          let quickchartButtonEl =\n",
              "            document.querySelector('#df-3f90f2cd-e477-4880-ba80-9d5e74ac1454 button');\n",
              "          quickchartButtonEl.style.display =\n",
              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "        })();\n",
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              "    </div>\n",
              "\n",
              "  <div id=\"id_f782eddc-5276-4cac-a8c3-63f39cc1d272\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
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              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
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              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('hybrid_df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "  </svg>\n",
              "    </button>\n",
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              "      (() => {\n",
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              "        document.querySelector('#id_f782eddc-5276-4cac-a8c3-63f39cc1d272 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('hybrid_df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "hybrid_df",
              "summary": "{\n  \"name\": \"hybrid_df\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"version\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Ensemble@0.5\",\n          \"HybridA (moderate=positive)\",\n          \"HybridB (moderate=negative)\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"accuracy\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.012325516920070284,\n        \"min\": 0.8247142857142857,\n        \"max\": 0.8492857142857143,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.8492857142857143,\n          0.8247142857142857,\n          0.8352857142857143\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"precision\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.06904298950672587,\n        \"min\": 0.7774926686217009,\n        \"max\": 0.9151912181303116,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.8552937754508435,\n          0.7774926686217009,\n          0.9151912181303116\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"recall\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.08586059533386556,\n        \"min\": 0.7388507718696398,\n        \"max\": 0.9095197255574614,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.8406232132647227,\n          0.9095197255574614,\n          0.7388507718696398\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"f1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.015476277005314185,\n        \"min\": 0.817621006010756,\n        \"max\": 0.8478950403690888,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.8478950403690888,\n          0.8383399209486166,\n          0.817621006010756\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"roc_auc\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.3597399555105182e-16,\n        \"min\": 0.9240222609052282,\n        \"max\": 0.9240222609052282,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0.9240222609052282\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Artifacts saved under: /content/models\n",
            "Saved files:\n",
            " - /content/models/CatBoost.joblib\n",
            " - /content/models/LightGBM.joblib\n",
            " - /content/models/LogisticRegression.joblib\n",
            " - /content/models/RandomForest.joblib\n",
            " - /content/models/XGBoost.joblib\n",
            " - /content/models/ensemble_weights.json\n",
            " - /content/models/feature_info.json\n",
            " - /content/models/hybrid_metrics.csv\n",
            " - /content/models/model_metrics.csv\n",
            " - /content/models/preprocessor.joblib\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import files\n",
        "uploaded = files.upload()  # choose models.zip and cardio_train_extended.csv"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 69
        },
        "id": "qyEUDCJZAuqD",
        "outputId": "96941492-bfd6-4a36-a820-18fba75b2130"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-aa3eb80f-5d95-4083-9021-dd78b0723f30\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-aa3eb80f-5d95-4083-9021-dd78b0723f30\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script>// Copyright 2017 Google LLC\n",
              "//\n",
              "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
              "// you may not use this file except in compliance with the License.\n",
              "// You may obtain a copy of the License at\n",
              "//\n",
              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
              "//\n",
              "// Unless required by applicable law or agreed to in writing, software\n",
              "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
              "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
              "// See the License for the specific language governing permissions and\n",
              "// limitations under the License.\n",
              "\n",
              "/**\n",
              " * @fileoverview Helpers for google.colab Python module.\n",
              " */\n",
              "(function(scope) {\n",
              "function span(text, styleAttributes = {}) {\n",
              "  const element = document.createElement('span');\n",
              "  element.textContent = text;\n",
              "  for (const key of Object.keys(styleAttributes)) {\n",
              "    element.style[key] = styleAttributes[key];\n",
              "  }\n",
              "  return element;\n",
              "}\n",
              "\n",
              "// Max number of bytes which will be uploaded at a time.\n",
              "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
              "\n",
              "function _uploadFiles(inputId, outputId) {\n",
              "  const steps = uploadFilesStep(inputId, outputId);\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  // Cache steps on the outputElement to make it available for the next call\n",
              "  // to uploadFilesContinue from Python.\n",
              "  outputElement.steps = steps;\n",
              "\n",
              "  return _uploadFilesContinue(outputId);\n",
              "}\n",
              "\n",
              "// This is roughly an async generator (not supported in the browser yet),\n",
              "// where there are multiple asynchronous steps and the Python side is going\n",
              "// to poll for completion of each step.\n",
              "// This uses a Promise to block the python side on completion of each step,\n",
              "// then passes the result of the previous step as the input to the next step.\n",
              "function _uploadFilesContinue(outputId) {\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  const steps = outputElement.steps;\n",
              "\n",
              "  const next = steps.next(outputElement.lastPromiseValue);\n",
              "  return Promise.resolve(next.value.promise).then((value) => {\n",
              "    // Cache the last promise value to make it available to the next\n",
              "    // step of the generator.\n",
              "    outputElement.lastPromiseValue = value;\n",
              "    return next.value.response;\n",
              "  });\n",
              "}\n",
              "\n",
              "/**\n",
              " * Generator function which is called between each async step of the upload\n",
              " * process.\n",
              " * @param {string} inputId Element ID of the input file picker element.\n",
              " * @param {string} outputId Element ID of the output display.\n",
              " * @return {!Iterable<!Object>} Iterable of next steps.\n",
              " */\n",
              "function* uploadFilesStep(inputId, outputId) {\n",
              "  const inputElement = document.getElementById(inputId);\n",
              "  inputElement.disabled = false;\n",
              "\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  outputElement.innerHTML = '';\n",
              "\n",
              "  const pickedPromise = new Promise((resolve) => {\n",
              "    inputElement.addEventListener('change', (e) => {\n",
              "      resolve(e.target.files);\n",
              "    });\n",
              "  });\n",
              "\n",
              "  const cancel = document.createElement('button');\n",
              "  inputElement.parentElement.appendChild(cancel);\n",
              "  cancel.textContent = 'Cancel upload';\n",
              "  const cancelPromise = new Promise((resolve) => {\n",
              "    cancel.onclick = () => {\n",
              "      resolve(null);\n",
              "    };\n",
              "  });\n",
              "\n",
              "  // Wait for the user to pick the files.\n",
              "  const files = yield {\n",
              "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
              "    response: {\n",
              "      action: 'starting',\n",
              "    }\n",
              "  };\n",
              "\n",
              "  cancel.remove();\n",
              "\n",
              "  // Disable the input element since further picks are not allowed.\n",
              "  inputElement.disabled = true;\n",
              "\n",
              "  if (!files) {\n",
              "    return {\n",
              "      response: {\n",
              "        action: 'complete',\n",
              "      }\n",
              "    };\n",
              "  }\n",
              "\n",
              "  for (const file of files) {\n",
              "    const li = document.createElement('li');\n",
              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
              "    li.append(span(\n",
              "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
              "        `last modified: ${\n",
              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
              "                                    'n/a'} - `));\n",
              "    const percent = span('0% done');\n",
              "    li.appendChild(percent);\n",
              "\n",
              "    outputElement.appendChild(li);\n",
              "\n",
              "    const fileDataPromise = new Promise((resolve) => {\n",
              "      const reader = new FileReader();\n",
              "      reader.onload = (e) => {\n",
              "        resolve(e.target.result);\n",
              "      };\n",
              "      reader.readAsArrayBuffer(file);\n",
              "    });\n",
              "    // Wait for the data to be ready.\n",
              "    let fileData = yield {\n",
              "      promise: fileDataPromise,\n",
              "      response: {\n",
              "        action: 'continue',\n",
              "      }\n",
              "    };\n",
              "\n",
              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
              "    let position = 0;\n",
              "    do {\n",
              "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
              "      const chunk = new Uint8Array(fileData, position, length);\n",
              "      position += length;\n",
              "\n",
              "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
              "      yield {\n",
              "        response: {\n",
              "          action: 'append',\n",
              "          file: file.name,\n",
              "          data: base64,\n",
              "        },\n",
              "      };\n",
              "\n",
              "      let percentDone = fileData.byteLength === 0 ?\n",
              "          100 :\n",
              "          Math.round((position / fileData.byteLength) * 100);\n",
              "      percent.textContent = `${percentDone}% done`;\n",
              "\n",
              "    } while (position < fileData.byteLength);\n",
              "  }\n",
              "\n",
              "  // All done.\n",
              "  yield {\n",
              "    response: {\n",
              "      action: 'complete',\n",
              "    }\n",
              "  };\n",
              "}\n",
              "\n",
              "scope.google = scope.google || {};\n",
              "scope.google.colab = scope.google.colab || {};\n",
              "scope.google.colab._files = {\n",
              "  _uploadFiles,\n",
              "  _uploadFilesContinue,\n",
              "};\n",
              "})(self);\n",
              "</script> "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving cardio_train_extended.csv to cardio_train_extended.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Hyperparameter tuning with RandomizedSearchCV for XGB, CatBoost, LightGBM\n",
        "# Saves best models and updates metrics and hybrid A/B results.\n",
        "\n",
        "!pip -q install scikit-learn xgboost catboost lightgbm joblib pandas\n",
        "\n",
        "import os, json, joblib, numpy as np, pandas as pd\n",
        "from pathlib import Path\n",
        "from sklearn.model_selection import RandomizedSearchCV, StratifiedKFold, train_test_split\n",
        "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_auc_score\n",
        "\n",
        "from xgboost import XGBClassifier\n",
        "from catboost import CatBoostClassifier\n",
        "from lightgbm import LGBMClassifier\n",
        "\n",
        "BASE = Path(\"/content\").resolve()\n",
        "DATA_PATH = BASE / \"cardio_train_extended.csv\"\n",
        "MODELS_DIR = BASE / \"models\"\n",
        "MODELS_DIR.mkdir(parents=True, exist_ok=True)\n",
        "\n",
        "# Try to reuse from previous cell; else reconstruct\n",
        "reuse_ok = False\n",
        "try:\n",
        "    X_train, X_test, y_train, y_test  # noqa: F821\n",
        "    preprocessor  # noqa: F821\n",
        "    reuse_ok = True\n",
        "except NameError:\n",
        "    reuse_ok = False\n",
        "\n",
        "if not reuse_ok:\n",
        "    # Minimal rebuild like the earlier training cell\n",
        "    df = pd.read_csv(DATA_PATH)\n",
        "\n",
        "    # Safety: ensure engineered columns if missing\n",
        "    if \"BMI\" not in df.columns:\n",
        "        df[\"BMI\"] = df[\"weight\"] / ((df[\"height\"]/100.0)**2)\n",
        "    if \"BP_diff\" not in df.columns and {\"ap_hi\",\"ap_lo\"}.issubset(df.columns):\n",
        "        df[\"BP_diff\"] = df[\"ap_hi\"] - df[\"ap_lo\"]\n",
        "    if \"MAP\" not in df.columns and {\"ap_hi\",\"ap_lo\"}.issubset(df.columns):\n",
        "        df[\"MAP\"] = (df[\"ap_hi\"] + 2*df[\"ap_lo\"]) / 3.0\n",
        "\n",
        "    # Simple cleaning\n",
        "    if \"ap_hi\" in df and \"ap_lo\" in df:\n",
        "        df[\"ap_hi\"] = df[\"ap_hi\"].clip(80, 250)\n",
        "        df[\"ap_lo\"] = df[\"ap_lo\"].clip(40, 150)\n",
        "    if \"BMI\" in df:\n",
        "        df[\"BMI\"] = df[\"BMI\"].clip(10, 60)\n",
        "\n",
        "    drop_cols = [c for c in [\"id\",\"age\",\"Reason\"] if c in df.columns]\n",
        "    X = df.drop(columns=drop_cols + [\"cardio\"])\n",
        "    y = df[\"cardio\"].astype(int)\n",
        "\n",
        "    # Preprocess same as before (recreate)\n",
        "    from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
        "    from sklearn.compose import ColumnTransformer\n",
        "    from sklearn.pipeline import Pipeline\n",
        "    from sklearn.impute import SimpleImputer\n",
        "\n",
        "    cat_cols = [c for c in X.columns if X[c].dtype==\"object\" or str(X[c].dtype).startswith(\"category\")]\n",
        "    num_cols = [c for c in X.columns if c not in cat_cols]\n",
        "\n",
        "    numeric_transformer = Pipeline(steps=[\n",
        "        (\"imputer\", SimpleImputer(strategy=\"median\")),\n",
        "        (\"scaler\", StandardScaler())\n",
        "    ])\n",
        "    categorical_transformer = Pipeline(steps=[\n",
        "        (\"imputer\", SimpleImputer(strategy=\"most_frequent\")),\n",
        "        (\"onehot\", OneHotEncoder(handle_unknown=\"ignore\", sparse_output=False))\n",
        "    ])\n",
        "    preprocessor = ColumnTransformer([\n",
        "        (\"num\", numeric_transformer, num_cols),\n",
        "        (\"cat\", categorical_transformer, cat_cols)\n",
        "    ], remainder=\"drop\")\n",
        "\n",
        "    X_train_raw, X_test_raw, y_train, y_test = train_test_split(\n",
        "        X, y, test_size=0.2, random_state=42, stratify=y\n",
        "    )\n",
        "    X_train = preprocessor.fit_transform(X_train_raw)\n",
        "    X_test  = preprocessor.transform(X_test_raw)\n",
        "\n",
        "# Compute scale_pos_weight for imbalance-aware boosting\n",
        "pos = int((y_train==1).sum())\n",
        "neg = int((y_train==0).sum())\n",
        "scale_pos_weight = (neg/pos) if pos > 0 else 1.0\n",
        "\n",
        "cv = StratifiedKFold(n_splits=3, shuffle=True, random_state=42)\n",
        "\n",
        "# ---------------- XGBoost Tuning ----------------\n",
        "param_dist_xgb = {\n",
        "    \"n_estimators\": [100, 200, 400, 600],\n",
        "    \"max_depth\": [3, 4, 6, 9],\n",
        "    \"learning_rate\": [0.01, 0.03, 0.05, 0.1],\n",
        "    \"subsample\": [0.6, 0.8, 1.0],\n",
        "    \"colsample_bytree\": [0.6, 0.8, 1.0],\n",
        "    \"reg_lambda\": [0.0, 0.5, 1.0, 2.0],\n",
        "    \"min_child_weight\": [1, 3, 5]\n",
        "}\n",
        "xgb_base = XGBClassifier(\n",
        "    eval_metric=\"logloss\", random_state=42, n_jobs=-1, tree_method=\"hist\",\n",
        "    scale_pos_weight=scale_pos_weight\n",
        ")\n",
        "xgb_search = RandomizedSearchCV(\n",
        "    xgb_base, param_distributions=param_dist_xgb, n_iter=25,\n",
        "    scoring=\"roc_auc\", cv=cv, verbose=1, n_jobs=-1, random_state=42\n",
        ")\n",
        "xgb_search.fit(X_train, y_train)\n",
        "best_xgb = xgb_search.best_estimator_\n",
        "joblib.dump(best_xgb, MODELS_DIR / \"XGBoost_best.joblib\")\n",
        "print(\"Best XGB params:\", xgb_search.best_params_)\n",
        "\n",
        "# ---------------- CatBoost Tuning ----------------\n",
        "# Note: CatBoost can be slower; keep search compact\n",
        "param_dist_cat = {\n",
        "    \"depth\": [4, 6, 8],\n",
        "    \"learning_rate\": [0.01, 0.03, 0.05, 0.1],\n",
        "    \"iterations\": [300, 500, 800],\n",
        "    \"l2_leaf_reg\": [1, 3, 5, 7]\n",
        "}\n",
        "cat_base = CatBoostClassifier(\n",
        "    loss_function=\"Logloss\", random_seed=42, verbose=0,\n",
        "    class_weights=[1.0, scale_pos_weight]  # approximate weighting\n",
        ")\n",
        "cat_search = RandomizedSearchCV(\n",
        "    cat_base, param_distributions=param_dist_cat, n_iter=20,\n",
        "    scoring=\"roc_auc\", cv=cv, verbose=1, n_jobs=-1, random_state=42\n",
        ")\n",
        "cat_search.fit(X_train, y_train)\n",
        "best_cat = cat_search.best_estimator_\n",
        "joblib.dump(best_cat, MODELS_DIR / \"CatBoost_best.joblib\")\n",
        "print(\"Best CatBoost params:\", cat_search.best_params_)\n",
        "\n",
        "# ---------------- LightGBM Tuning ----------------\n",
        "param_dist_lgb = {\n",
        "    \"n_estimators\": [300, 500, 800],\n",
        "    \"num_leaves\": [31, 63, 127],\n",
        "    \"learning_rate\": [0.01, 0.03, 0.05, 0.1],\n",
        "    \"subsample\": [0.7, 0.9, 1.0],\n",
        "    \"colsample_bytree\": [0.7, 0.9, 1.0],\n",
        "    \"min_child_samples\": [10, 20, 40],\n",
        "    \"reg_lambda\": [0.0, 0.5, 1.0, 2.0]\n",
        "}\n",
        "lgb_base = LGBMClassifier(\n",
        "    random_state=42, n_jobs=-1, class_weight=\"balanced\"\n",
        ")\n",
        "lgb_search = RandomizedSearchCV(\n",
        "    lgb_base, param_distributions=param_dist_lgb, n_iter=25,\n",
        "    scoring=\"roc_auc\", cv=cv, verbose=1, n_jobs=-1, random_state=42\n",
        ")\n",
        "lgb_search.fit(X_train, y_train)\n",
        "best_lgb = lgb_search.best_estimator_\n",
        "joblib.dump(best_lgb, MODELS_DIR / \"LightGBM_best.joblib\")\n",
        "print(\"Best LightGBM params:\", lgb_search.best_params_)\n",
        "\n",
        "# ------------- Evaluate best models and save metrics -------------\n",
        "def eval_model(name, model, Xte, yte):\n",
        "    prob = model.predict_proba(Xte)[:,1]\n",
        "    pred = (prob >= 0.5).astype(int)\n",
        "    return {\n",
        "        \"model\": name,\n",
        "        \"accuracy\": accuracy_score(yte, pred),\n",
        "        \"precision\": precision_score(yte, pred, zero_division=0),\n",
        "        \"recall\": recall_score(yte, pred, zero_division=0),\n",
        "        \"f1\": f1_score(yte, pred, zero_division=0),\n",
        "        \"roc_auc\": roc_auc_score(yte, prob)\n",
        "    }\n",
        "\n",
        "rows = []\n",
        "rows.append(eval_model(\"XGBoost_best\", best_xgb, X_test, y_test))\n",
        "rows.append(eval_model(\"CatBoost_best\", best_cat, X_test, y_test))\n",
        "rows.append(eval_model(\"LightGBM_best\", best_lgb, X_test, y_test))\n",
        "best_metrics_df = pd.DataFrame(rows).set_index(\"model\")\n",
        "best_metrics_csv = MODELS_DIR / \"model_metrics_best.csv\"\n",
        "best_metrics_df.to_csv(best_metrics_csv)\n",
        "print(\"\\nBest-model metrics saved to:\", best_metrics_csv)\n",
        "display(best_metrics_df)\n",
        "\n",
        "# ------------- Ensemble with tuned models (XGB+CAT 50/50) -------------\n",
        "w_xgb, w_cat = 0.5, 0.5\n",
        "xgb_prob = best_xgb.predict_proba(X_test)[:,1]\n",
        "cat_prob = best_cat.predict_proba(X_test)[:,1]\n",
        "ensemble_prob = w_xgb * xgb_prob + w_cat * cat_prob\n",
        "\n",
        "# Hybrid thresholds\n",
        "th_low, th_high = 0.30, 0.70\n",
        "\n",
        "# Hybrid A: moderate -> positive\n",
        "predA = np.where((ensemble_prob < th_low), 0,\n",
        "         np.where((ensemble_prob < th_high), 1, 1)).astype(int)\n",
        "\n",
        "# Hybrid B: moderate -> negative\n",
        "predB = np.where((ensemble_prob < th_low), 0,\n",
        "         np.where((ensemble_prob < th_high), 0, 1)).astype(int)\n",
        "\n",
        "def metrics_for_preds(name, pred, prob, y_true):\n",
        "    return {\n",
        "        \"version\": name,\n",
        "        \"accuracy\": accuracy_score(y_true, pred),\n",
        "        \"precision\": precision_score(y_true, pred, zero_division=0),\n",
        "        \"recall\": recall_score(y_true, pred, zero_division=0),\n",
        "        \"f1\": f1_score(y_true, pred, zero_division=0),\n",
        "        \"roc_auc\": roc_auc_score(y_true, prob)\n",
        "    }\n",
        "\n",
        "hybrid_rows = []\n",
        "pred05 = (ensemble_prob >= 0.5).astype(int)\n",
        "hybrid_rows.append(metrics_for_preds(\"Ensemble_best@0.5\", pred05, ensemble_prob, y_test))\n",
        "hybrid_rows.append(metrics_for_preds(\"HybridA_best (moderate=positive)\", predA, ensemble_prob, y_test))\n",
        "hybrid_rows.append(metrics_for_preds(\"HybridB_best (moderate=negative)\", predB, ensemble_prob, y_test))\n",
        "hybrid_df = pd.DataFrame(hybrid_rows).set_index(\"version\")\n",
        "hybrid_csv = MODELS_DIR / \"hybrid_metrics_best.csv\"\n",
        "hybrid_df.to_csv(hybrid_csv)\n",
        "print(\"\\nHybrid metrics (best ensemble) saved to:\", hybrid_csv)\n",
        "display(hybrid_df)\n",
        "\n",
        "print(\"\\nSaved best models and metrics in:\", MODELS_DIR)\n",
        "for p in sorted(MODELS_DIR.iterdir()):\n",
        "    print(\" -\", p)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 791
        },
        "id": "vex_3VPHCJVp",
        "outputId": "2e377728-ad43-4063-cb8b-90a4858c8de8"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Fitting 3 folds for each of 25 candidates, totalling 75 fits\n",
            "Best XGB params: {'subsample': 0.6, 'reg_lambda': 0.5, 'n_estimators': 600, 'min_child_weight': 1, 'max_depth': 3, 'learning_rate': 0.03, 'colsample_bytree': 0.8}\n",
            "Fitting 3 folds for each of 20 candidates, totalling 60 fits\n",
            "Best CatBoost params: {'learning_rate': 0.03, 'l2_leaf_reg': 3, 'iterations': 500, 'depth': 6}\n",
            "Fitting 3 folds for each of 25 candidates, totalling 75 fits\n",
            "[LightGBM] [Info] Number of positive: 27983, number of negative: 28017\n",
            "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.013823 seconds.\n",
            "You can set `force_col_wise=true` to remove the overhead.\n",
            "[LightGBM] [Info] Total Bins 2004\n",
            "[LightGBM] [Info] Number of data points in the train set: 56000, number of used features: 39\n",
            "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n",
            "[LightGBM] [Info] Start training from score -0.000000\n",
            "Best LightGBM params: {'subsample': 0.7, 'reg_lambda': 1.0, 'num_leaves': 31, 'n_estimators': 300, 'min_child_samples': 10, 'learning_rate': 0.03, 'colsample_bytree': 0.7}\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/sklearn/utils/validation.py:2739: UserWarning: X does not have valid feature names, but LGBMClassifier was fitted with feature names\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Best-model metrics saved to: /content/models/model_metrics_best.csv\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "               accuracy  precision    recall        f1   roc_auc\n",
              "model                                                           \n",
              "XGBoost_best   0.848714   0.852865  0.842624  0.847714  0.925027\n",
              "CatBoost_best  0.850857   0.856894  0.842196  0.849481  0.925264\n",
              "LightGBM_best  0.851357   0.857039  0.843196  0.850061  0.924813"
            ],
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              "      <th></th>\n",
              "      <th>accuracy</th>\n",
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              "      <th>XGBoost_best</th>\n",
              "      <td>0.848714</td>\n",
              "      <td>0.852865</td>\n",
              "      <td>0.842624</td>\n",
              "      <td>0.847714</td>\n",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "\n",
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              "                title=\"Suggest charts\"\n",
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              "    </g>\n",
              "</svg>\n",
              "      </button>\n",
              "\n",
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              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
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              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "      border-top-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
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              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "      <script>\n",
              "        async function quickchart(key) {\n",
              "          const quickchartButtonEl =\n",
              "            document.querySelector('#' + key + ' button');\n",
              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "          try {\n",
              "            const charts = await google.colab.kernel.invokeFunction(\n",
              "                'suggestCharts', [key], {});\n",
              "          } catch (error) {\n",
              "            console.error('Error during call to suggestCharts:', error);\n",
              "          }\n",
              "          quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "        }\n",
              "        (() => {\n",
              "          let quickchartButtonEl =\n",
              "            document.querySelector('#df-d6a49fdc-8d0a-41cd-839b-b53bee113095 button');\n",
              "          quickchartButtonEl.style.display =\n",
              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "        })();\n",
              "      </script>\n",
              "    </div>\n",
              "\n",
              "  <div id=\"id_ea795b18-d59c-4c17-93b8-eb80ee81561f\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
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              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
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              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
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              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('best_metrics_df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "        google.colab.notebook.generateWithVariable('best_metrics_df');\n",
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              "\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "best_metrics_df",
              "summary": "{\n  \"name\": \"best_metrics_df\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"model\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"XGBoost_best\",\n          \"CatBoost_best\",\n          \"LightGBM_best\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"accuracy\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0014039545702671595,\n        \"min\": 0.8487142857142858,\n        \"max\": 0.8513571428571428,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.8487142857142858,\n          0.8508571428571429,\n          0.8513571428571428\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"precision\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.002369252099472406,\n        \"min\": 0.8528645833333334,\n        \"max\": 0.8570390817957286,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.8528645833333334,\n          0.8568935427574171,\n          0.8570390817957286\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"recall\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0005019846461240754,\n        \"min\": 0.8421955403087479,\n        \"max\": 0.8431961120640366,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.8426243567753001,\n          0.8421955403087479,\n          0.8431961120640366\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"f1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0012228508404287955,\n        \"min\": 0.8477135461604832,\n        \"max\": 0.8500612436054471,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.8477135461604832,\n          0.8494809688581315,\n          0.8500612436054471\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"roc_auc\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.00022574408984982536,\n        \"min\": 0.9248125876939063,\n        \"max\": 0.9252638735555506,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.925026526539274,\n          0.9252638735555506,\n          0.9248125876939063\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Hybrid metrics (best ensemble) saved to: /content/models/hybrid_metrics_best.csv\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "                                  accuracy  precision    recall        f1  \\\n",
              "version                                                                     \n",
              "Ensemble_best@0.5                 0.849929   0.854967  0.842624  0.848751   \n",
              "HybridA_best (moderate=positive)  0.825500   0.776174  0.914523  0.839688   \n",
              "HybridB_best (moderate=negative)  0.835786   0.917363  0.737850  0.817872   \n",
              "\n",
              "                                  roc_auc  \n",
              "version                                    \n",
              "Ensemble_best@0.5                 0.92531  \n",
              "HybridA_best (moderate=positive)  0.92531  \n",
              "HybridB_best (moderate=negative)  0.92531  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-9625b4d2-7d44-4638-9534-921260963f22\" class=\"colab-df-container\">\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>accuracy</th>\n",
              "      <th>precision</th>\n",
              "      <th>recall</th>\n",
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              "      <th>roc_auc</th>\n",
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              "    <tr>\n",
              "      <th>Ensemble_best@0.5</th>\n",
              "      <td>0.849929</td>\n",
              "      <td>0.854967</td>\n",
              "      <td>0.842624</td>\n",
              "      <td>0.848751</td>\n",
              "      <td>0.92531</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>HybridA_best (moderate=positive)</th>\n",
              "      <td>0.825500</td>\n",
              "      <td>0.776174</td>\n",
              "      <td>0.914523</td>\n",
              "      <td>0.839688</td>\n",
              "      <td>0.92531</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>HybridB_best (moderate=negative)</th>\n",
              "      <td>0.835786</td>\n",
              "      <td>0.917363</td>\n",
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              "        document.querySelector('#df-9625b4d2-7d44-4638-9534-921260963f22 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
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              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "\n",
              "  .colab-df-spinner {\n",
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              "    20% {\n",
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        {
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          "name": "stdout",
          "text": [
            "\n",
            "Saved best models and metrics in: /content/models\n",
            " - /content/models/CatBoost_best.joblib\n",
            " - /content/models/LightGBM_best.joblib\n",
            " - /content/models/XGBoost_best.joblib\n",
            " - /content/models/hybrid_metrics_best.csv\n",
            " - /content/models/model_metrics_best.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Class imbalance via class weights / scale_pos_weight (no resampling)\n",
        "!pip -q install scikit-learn xgboost catboost lightgbm joblib pandas\n",
        "\n",
        "import os, json, joblib, numpy as np, pandas as pd\n",
        "from pathlib import Path\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_auc_score\n",
        "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
        "from sklearn.compose import ColumnTransformer\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.impute import SimpleImputer\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from xgboost import XGBClassifier\n",
        "from catboost import CatBoostClassifier\n",
        "from lightgbm import LGBMClassifier\n",
        "\n",
        "BASE = Path(\"/content\").resolve()\n",
        "DATA_PATH = BASE / \"cardio_train_extended.csv\"\n",
        "MODELS_DIR = BASE / \"models\"\n",
        "MODELS_DIR.mkdir(parents=True, exist_ok=True)\n",
        "\n",
        "# Load and minimal engineer\n",
        "df = pd.read_csv(DATA_PATH)\n",
        "if \"BMI\" not in df.columns:\n",
        "    df[\"BMI\"] = df[\"weight\"] / ((df[\"height\"]/100.0)**2)\n",
        "if \"BP_diff\" not in df.columns and {\"ap_hi\",\"ap_lo\"}.issubset(df.columns):\n",
        "    df[\"BP_diff\"] = df[\"ap_hi\"] - df[\"ap_lo\"]\n",
        "if \"MAP\" not in df.columns and {\"ap_hi\",\"ap_lo\"}.issubset(df.columns):\n",
        "    df[\"MAP\"] = (df[\"ap_hi\"] + 2*df[\"ap_lo\"]) / 3.0\n",
        "if \"ap_hi\" in df and \"ap_lo\" in df:\n",
        "    df[\"ap_hi\"] = df[\"ap_hi\"].clip(80, 250)\n",
        "    df[\"ap_lo\"] = df[\"ap_lo\"].clip(40, 150)\n",
        "if \"BMI\" in df:\n",
        "    df[\"BMI\"] = df[\"BMI\"].clip(10, 60)\n",
        "\n",
        "drop_cols = [c for c in [\"id\",\"age\",\"Reason\"] if c in df.columns]\n",
        "X = df.drop(columns=drop_cols + [\"cardio\"])\n",
        "y = df[\"cardio\"].astype(int)\n",
        "\n",
        "# Preprocess\n",
        "cat_cols = [c for c in X.columns if X[c].dtype==\"object\" or str(X[c].dtype).startswith(\"category\")]\n",
        "num_cols = [c for c in X.columns if c not in cat_cols]\n",
        "numeric_transformer = Pipeline(steps=[(\"imputer\", SimpleImputer(strategy=\"median\")), (\"scaler\", StandardScaler())])\n",
        "categorical_transformer = Pipeline(steps=[(\"imputer\", SimpleImputer(strategy=\"most_frequent\")), (\"onehot\", OneHotEncoder(handle_unknown=\"ignore\", sparse_output=False))])\n",
        "preprocessor = ColumnTransformer([(\"num\", numeric_transformer, num_cols), (\"cat\", categorical_transformer, cat_cols)], remainder=\"drop\")\n",
        "\n",
        "X_train_raw, X_test_raw, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)\n",
        "X_train = preprocessor.fit_transform(X_train_raw)\n",
        "X_test  = preprocessor.transform(X_test_raw)\n",
        "\n",
        "# class weights / scale_pos_weight\n",
        "pos = int((y_train==1).sum()); neg = int((y_train==0).sum())\n",
        "scale_pos_weight = (neg/pos) if pos > 0 else 1.0\n",
        "\n",
        "models = {\n",
        "    \"LogReg_cw\": LogisticRegression(max_iter=500, class_weight=\"balanced\"),\n",
        "    \"RF_cw\": RandomForestClassifier(n_estimators=300, class_weight=\"balanced\", n_jobs=-1, random_state=42),\n",
        "    \"XGB_spw\": XGBClassifier(\n",
        "        n_estimators=400, learning_rate=0.08, max_depth=6, subsample=0.8, colsample_bytree=0.8,\n",
        "        eval_metric=\"logloss\", random_state=42, n_jobs=-1, tree_method=\"hist\",\n",
        "        scale_pos_weight=scale_pos_weight\n",
        "    ),\n",
        "    \"CAT_cw\": CatBoostClassifier(iterations=600, depth=6, learning_rate=0.05, random_seed=42, verbose=0,\n",
        "                                 loss_function=\"Logloss\", class_weights=[1.0, scale_pos_weight]),\n",
        "    \"LGBM_cw\": LGBMClassifier(n_estimators=600, learning_rate=0.05, subsample=0.8, colsample_bytree=0.8,\n",
        "                              random_state=42, n_jobs=-1, class_weight=\"balanced\")\n",
        "}\n",
        "\n",
        "def eval_model(name, model, Xte, yte):\n",
        "    prob = model.predict_proba(Xte)[:,1]\n",
        "    pred = (prob >= 0.5).astype(int)\n",
        "    return {\"model\": name,\n",
        "            \"accuracy\": accuracy_score(yte, pred),\n",
        "            \"precision\": precision_score(yte, pred, zero_division=0),\n",
        "            \"recall\": recall_score(yte, pred, zero_division=0),\n",
        "            \"f1\": f1_score(yte, pred, zero_division=0),\n",
        "            \"roc_auc\": roc_auc_score(yte, prob)}\n",
        "\n",
        "rows = []\n",
        "for name, model in models.items():\n",
        "    print(f\"Training {name} ...\")\n",
        "    model.fit(X_train, y_train)\n",
        "    joblib.dump(model, MODELS_DIR / f\"{name}.joblib\")\n",
        "    rows.append(eval_model(name, model, X_test, y_test))\n",
        "\n",
        "metrics_df = pd.DataFrame(rows).set_index(\"model\")\n",
        "metrics_df.to_csv(MODELS_DIR / \"metrics_class_weights.csv\")\n",
        "print(\"\\nSaved:\", MODELS_DIR / \"metrics_class_weights.csv\")\n",
        "display(metrics_df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 544
        },
        "id": "nYw59pe3U5zr",
        "outputId": "30622be1-39ee-4544-c727-7b6f599a7cdb"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training LogReg_cw ...\n",
            "Training RF_cw ...\n",
            "Training XGB_spw ...\n",
            "Training CAT_cw ...\n",
            "Training LGBM_cw ...\n",
            "[LightGBM] [Info] Number of positive: 27983, number of negative: 28017\n",
            "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.007657 seconds.\n",
            "You can set `force_row_wise=true` to remove the overhead.\n",
            "And if memory is not enough, you can set `force_col_wise=true`.\n",
            "[LightGBM] [Info] Total Bins 2004\n",
            "[LightGBM] [Info] Number of data points in the train set: 56000, number of used features: 39\n",
            "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n",
            "[LightGBM] [Info] Start training from score -0.000000\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/sklearn/utils/validation.py:2739: UserWarning: X does not have valid feature names, but LGBMClassifier was fitted with feature names\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Saved: /content/models/metrics_class_weights.csv\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "           accuracy  precision    recall        f1   roc_auc\n",
              "model                                                       \n",
              "LogReg_cw  0.844143   0.846830  0.840051  0.843427  0.917274\n",
              "RF_cw      0.844857   0.844375  0.845340  0.844857  0.916012\n",
              "XGB_spw    0.846929   0.852740  0.838479  0.845550  0.921615\n",
              "CAT_cw     0.848714   0.855022  0.839623  0.847252  0.924576\n",
              "LGBM_cw    0.848714   0.854815  0.839909  0.847296  0.923070"
            ],
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>accuracy</th>\n",
              "      <th>precision</th>\n",
              "      <th>recall</th>\n",
              "      <th>f1</th>\n",
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              "      <th>LogReg_cw</th>\n",
              "      <td>0.844143</td>\n",
              "      <td>0.846830</td>\n",
              "      <td>0.840051</td>\n",
              "      <td>0.843427</td>\n",
              "      <td>0.917274</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>RF_cw</th>\n",
              "      <td>0.844857</td>\n",
              "      <td>0.844375</td>\n",
              "      <td>0.845340</td>\n",
              "      <td>0.844857</td>\n",
              "      <td>0.916012</td>\n",
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              "      <th>XGB_spw</th>\n",
              "      <td>0.846929</td>\n",
              "      <td>0.852740</td>\n",
              "      <td>0.838479</td>\n",
              "      <td>0.845550</td>\n",
              "      <td>0.921615</td>\n",
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              "      <th>CAT_cw</th>\n",
              "      <td>0.848714</td>\n",
              "      <td>0.855022</td>\n",
              "      <td>0.839623</td>\n",
              "      <td>0.847252</td>\n",
              "      <td>0.924576</td>\n",
              "    </tr>\n",
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              "      <th>LGBM_cw</th>\n",
              "      <td>0.848714</td>\n",
              "      <td>0.854815</td>\n",
              "      <td>0.839909</td>\n",
              "      <td>0.847296</td>\n",
              "      <td>0.923070</td>\n",
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    },
    {
      "cell_type": "code",
      "source": [
        "import os, joblib, numpy as np, pandas as pd, json\n",
        "from pathlib import Path\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_auc_score\n",
        "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
        "from sklearn.compose import ColumnTransformer\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.impute import SimpleImputer\n",
        "\n",
        "BASE = Path(\"/content\")\n",
        "MODELS_DIR = BASE / \"models\"\n",
        "DATA_PATH = BASE / \"cardio_train_extended.csv\"\n",
        "\n",
        "# Load data and rebuild split/preprocessor same as before\n",
        "df = pd.read_csv(DATA_PATH)\n",
        "drop_cols = [c for c in [\"id\",\"age\",\"Reason\"] if c in df.columns]\n",
        "X = df.drop(columns=drop_cols + [\"cardio\"])\n",
        "y = df[\"cardio\"].astype(int)\n",
        "\n",
        "cat_cols = [c for c in X.columns if X[c].dtype==\"object\" or str(X[c].dtype).startswith(\"category\")]\n",
        "num_cols = [c for c in X.columns if c not in cat_cols]\n",
        "preprocessor = ColumnTransformer([\n",
        "    (\"num\", Pipeline([(\"imputer\", SimpleImputer(strategy=\"median\")), (\"scaler\", StandardScaler())]), num_cols),\n",
        "    (\"cat\", Pipeline([(\"imputer\", SimpleImputer(strategy=\"most_frequent\")), (\"onehot\", OneHotEncoder(handle_unknown=\"ignore\", sparse_output=False))]), cat_cols),\n",
        "], remainder=\"drop\")\n",
        "\n",
        "Xtr_raw, Xte_raw, ytr, yte = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)\n",
        "Xtr = preprocessor.fit_transform(Xtr_raw)\n",
        "Xte = preprocessor.transform(Xte_raw)\n",
        "\n",
        "# Load your trained models from Option A\n",
        "xgb = joblib.load(MODELS_DIR / \"XGB_spw.joblib\")\n",
        "cat = joblib.load(MODELS_DIR / \"CAT_cw.joblib\")\n",
        "\n",
        "# Ensemble (50/50) and Hybrid A/B\n",
        "w_xgb, w_cat = 0.5, 0.5\n",
        "xgb_prob = xgb.predict_proba(Xte)[:,1]\n",
        "cat_prob = cat.predict_proba(Xte)[:,1]\n",
        "ens_prob = w_xgb * xgb_prob + w_cat * cat_prob\n",
        "\n",
        "def summarize(name, pred, prob, y_true):\n",
        "    return {\n",
        "        \"version\": name,\n",
        "        \"accuracy\": accuracy_score(y_true, pred),\n",
        "        \"precision\": precision_score(y_true, pred, zero_division=0),\n",
        "        \"recall\": recall_score(y_true, pred, zero_division=0),\n",
        "        \"f1\": f1_score(y_true, pred, zero_division=0),\n",
        "        \"roc_auc\": roc_auc_score(y_true, prob),\n",
        "    }\n",
        "\n",
        "# Baseline 0.5\n",
        "pred05 = (ens_prob >= 0.5).astype(int)\n",
        "\n",
        "# Hybrid thresholds\n",
        "th_low, th_high = 0.30, 0.70\n",
        "# A: moderate -> positive\n",
        "predA = np.where(ens_prob < th_low, 0, 1).astype(int)\n",
        "# B: moderate -> negative\n",
        "predB = np.where(ens_prob >= th_high, 1, 0).astype(int)\n",
        "\n",
        "rows = [\n",
        "    summarize(\"Ensemble@0.5\", pred05, ens_prob, yte),\n",
        "    summarize(\"HybridA (moderate=positive)\", predA, ens_prob, yte),\n",
        "    summarize(\"HybridB (moderate=negative)\", predB, ens_prob, yte),\n",
        "]\n",
        "hybrid_df = pd.DataFrame(rows).set_index(\"version\")\n",
        "csv_path = MODELS_DIR / \"hybrid_metrics_optionA.csv\"\n",
        "hybrid_df.to_csv(csv_path)\n",
        "print(\"Saved:\", csv_path)\n",
        "display(hybrid_df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 190
        },
        "id": "e5DP84ogVg9B",
        "outputId": "74ce8ed2-596b-4a08-b784-a290056ea374"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saved: /content/models/hybrid_metrics_optionA.csv\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "                             accuracy  precision    recall        f1   roc_auc\n",
              "version                                                                       \n",
              "Ensemble@0.5                 0.840714   0.873511  0.796598  0.833283  0.919223\n",
              "HybridA (moderate=positive)  0.826143   0.787352  0.893368  0.837016  0.919223\n",
              "HybridB (moderate=negative)  0.814214   0.928279  0.680818  0.785520  0.919223"
            ],
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              "      <th></th>\n",
              "      <th>accuracy</th>\n",
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              "      <th>Ensemble@0.5</th>\n",
              "      <td>0.840714</td>\n",
              "      <td>0.873511</td>\n",
              "      <td>0.796598</td>\n",
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    {
      "cell_type": "code",
      "source": [
        "# Compute and save model metrics + Hybrid A/B metrics\n",
        "!pip -q install scikit-learn joblib pandas\n",
        "\n",
        "import os, json, joblib, numpy as np, pandas as pd\n",
        "from pathlib import Path\n",
        "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_auc_score\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "BASE = Path(\"/content\")\n",
        "MODELS_DIR = BASE / \"models\"\n",
        "DATA_PATH = BASE / \"cardio_train_extended.csv\"\n",
        "\n",
        "# Try reuse; else rebuild X_test/y_test and load models\n",
        "reuse_ok = True\n",
        "try:\n",
        "    models  # dict of fitted models with keys including \"XGB_spw\" and \"CAT_cw\"\n",
        "    X_test; y_test\n",
        "except NameError:\n",
        "    reuse_ok = False\n",
        "\n",
        "if not reuse_ok:\n",
        "    # Minimal rebuild for X_test / y_test consistent with earlier preprocessing\n",
        "    from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
        "    from sklearn.compose import ColumnTransformer\n",
        "    from sklearn.pipeline import Pipeline\n",
        "    from sklearn.impute import SimpleImputer\n",
        "\n",
        "    df = pd.read_csv(DATA_PATH)\n",
        "    drop_cols = [c for c in [\"id\",\"age\",\"Reason\"] if c in df.columns]\n",
        "    X = df.drop(columns=drop_cols + [\"cardio\"])\n",
        "    y = df[\"cardio\"].astype(int)\n",
        "\n",
        "    cat_cols = [c for c in X.columns if X[c].dtype==\"object\" or str(X[c].dtype).startswith(\"category\")]\n",
        "    num_cols = [c for c in X.columns if c not in cat_cols]\n",
        "    preprocessor = ColumnTransformer([\n",
        "        (\"num\", Pipeline([(\"imputer\", SimpleImputer(strategy=\"median\")), (\"scaler\", StandardScaler())]), num_cols),\n",
        "        (\"cat\", Pipeline([(\"imputer\", SimpleImputer(strategy=\"most_frequent\")),\n",
        "                          (\"onehot\", OneHotEncoder(handle_unknown=\"ignore\", sparse_output=False))]), cat_cols),\n",
        "    ], remainder=\"drop\")\n",
        "\n",
        "    X_train_raw, X_test_raw, y_train, y_test = train_test_split(\n",
        "        X, y, test_size=0.2, random_state=42, stratify=y\n",
        "    )\n",
        "    X_test = preprocessor.fit_transform(X_train_raw) and preprocessor.transform(X_test_raw)  # fit then transform\n",
        "    X_test = preprocessor.transform(X_test_raw)  # ensure X_test is set after fitting\n",
        "\n",
        "    # Load models trained earlier (Option A names)\n",
        "    models = {}\n",
        "    for name in [\"LogReg_cw\",\"RF_cw\",\"XGB_spw\",\"CAT_cw\",\"LGBM_cw\"]:\n",
        "        p = MODELS_DIR / f\"{name}.joblib\"\n",
        "        if p.exists():\n",
        "            models[name] = joblib.load(p)\n",
        "\n",
        "def eval_model(name, model, X_te, y_te):\n",
        "    prob = model.predict_proba(X_te)[:, 1]\n",
        "    pred = (prob >= 0.5).astype(int)\n",
        "    return {\n",
        "      \"model\": name,\n",
        "      \"accuracy\": accuracy_score(y_te, pred),\n",
        "      \"precision\": precision_score(y_te, pred, zero_division=0),\n",
        "      \"recall\": recall_score(y_te, pred, zero_division=0),\n",
        "      \"f1\": f1_score(y_te, pred, zero_division=0),\n",
        "      \"roc_auc\": roc_auc_score(y_te, prob),\n",
        "    }\n",
        "\n",
        "# Per-model metrics\n",
        "rows = []\n",
        "for name, model in models.items():\n",
        "    rows.append(eval_model(name, model, X_test, y_test))\n",
        "metrics_df = pd.DataFrame(rows).set_index(\"model\").sort_index()\n",
        "metrics_path = MODELS_DIR / \"model_metrics.csv\"\n",
        "metrics_df.to_csv(metrics_path)\n",
        "print(\"Saved:\", metrics_path)\n",
        "display(metrics_df)\n",
        "\n",
        "# Ensemble proba from XGB + CAT\n",
        "if \"XGB_spw\" not in models or \"CAT_cw\" not in models:\n",
        "    raise RuntimeError(\"Required models not found: XGB_spw and CAT_cw.\")\n",
        "\n",
        "xgb_prob = models[\"XGB_spw\"].predict_proba(X_test)[:, 1]\n",
        "cat_prob = models[\"CAT_cw\"].predict_proba(X_test)[:, 1]\n",
        "w_xgb, w_cat = 0.5, 0.5\n",
        "ensemble_proba = w_xgb * xgb_prob + w_cat * cat_prob\n",
        "\n",
        "# Hybrid A/B metrics\n",
        "th_low, th_high = 0.30, 0.70\n",
        "# A: moderate -> positive\n",
        "predA = ((ensemble_proba >= th_low)).astype(int)\n",
        "# B: moderate -> negative\n",
        "predB = (ensemble_proba >= th_high).astype(int)\n",
        "# Baseline @0.5\n",
        "pred05 = (ensemble_proba >= 0.5).astype(int)\n",
        "\n",
        "def summarize(name, pred, prob, y_true):\n",
        "    return {\n",
        "        \"version\": name,\n",
        "        \"accuracy\": accuracy_score(y_true, pred),\n",
        "        \"precision\": precision_score(y_true, pred, zero_division=0),\n",
        "        \"recall\": recall_score(y_true, pred, zero_division=0),\n",
        "        \"f1\": f1_score(y_true, pred, zero_division=0),\n",
        "        \"roc_auc\": roc_auc_score(y_true, prob),\n",
        "    }\n",
        "\n",
        "hy_rows = [\n",
        "    summarize(\"Ensemble@0.5\", pred05, ensemble_proba, y_test),\n",
        "    summarize(\"HybridA (moderate=positive)\", predA, ensemble_proba, y_test),\n",
        "    summarize(\"HybridB (moderate=negative)\", predB, ensemble_proba, y_test),\n",
        "]\n",
        "hybrid_df = pd.DataFrame(hy_rows).set_index(\"version\")\n",
        "hybrid_path = MODELS_DIR / \"hybrid_metrics.csv\"\n",
        "hybrid_df.to_csv(hybrid_path)\n",
        "print(\"Saved:\", hybrid_path)\n",
        "display(hybrid_df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 479
        },
        "id": "q_FdQT9nWXFJ",
        "outputId": "0ec0eae0-0249-4512-a981-73f31199c317"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/sklearn/utils/validation.py:2739: UserWarning: X does not have valid feature names, but LGBMClassifier was fitted with feature names\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saved: /content/models/model_metrics.csv\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "           accuracy  precision    recall        f1   roc_auc\n",
              "model                                                       \n",
              "CAT_cw     0.848714   0.855022  0.839623  0.847252  0.924576\n",
              "LGBM_cw    0.848714   0.854815  0.839909  0.847296  0.923070\n",
              "LogReg_cw  0.844143   0.846830  0.840051  0.843427  0.917274\n",
              "RF_cw      0.844857   0.844375  0.845340  0.844857  0.916012\n",
              "XGB_spw    0.846929   0.852740  0.838479  0.845550  0.921615"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-4027050a-53f9-42ff-b9f9-496672424a07\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
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              "        vertical-align: middle;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>accuracy</th>\n",
              "      <th>precision</th>\n",
              "      <th>recall</th>\n",
              "      <th>f1</th>\n",
              "      <th>roc_auc</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>model</th>\n",
              "      <th></th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>CAT_cw</th>\n",
              "      <td>0.848714</td>\n",
              "      <td>0.855022</td>\n",
              "      <td>0.839623</td>\n",
              "      <td>0.847252</td>\n",
              "      <td>0.924576</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LGBM_cw</th>\n",
              "      <td>0.848714</td>\n",
              "      <td>0.854815</td>\n",
              "      <td>0.839909</td>\n",
              "      <td>0.847296</td>\n",
              "      <td>0.923070</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LogReg_cw</th>\n",
              "      <td>0.844143</td>\n",
              "      <td>0.846830</td>\n",
              "      <td>0.840051</td>\n",
              "      <td>0.843427</td>\n",
              "      <td>0.917274</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>RF_cw</th>\n",
              "      <td>0.844857</td>\n",
              "      <td>0.844375</td>\n",
              "      <td>0.845340</td>\n",
              "      <td>0.844857</td>\n",
              "      <td>0.916012</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>XGB_spw</th>\n",
              "      <td>0.846929</td>\n",
              "      <td>0.852740</td>\n",
              "      <td>0.838479</td>\n",
              "      <td>0.845550</td>\n",
              "      <td>0.921615</td>\n",
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              "\n",
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              "summary": "{\n  \"name\": \"metrics_df\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"model\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"LGBM_cw\",\n          \"XGB_spw\",\n          \"LogReg_cw\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"accuracy\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0021270848116420713,\n        \"min\": 0.8441428571428572,\n        \"max\": 0.8487142857142858,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          0.8441428571428572,\n          0.8469285714285715,\n          0.8487142857142858\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"precision\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.004866913278305913,\n        \"min\": 0.844374643061108,\n        \"max\": 0.8550218340611354,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.8548152458539424,\n          0.8527402238697485,\n          0.8468299711815562\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"recall\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0026771949155959263,\n        \"min\": 0.8384791309319611,\n        \"max\": 0.8453401943967982,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.8399085191538022,\n          0.8384791309319611,\n          0.8400514579759862\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"f1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0016472831584337228,\n        \"min\": 0.8434270952927669,\n        \"max\": 0.847296322999279,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.847296322999279,\n          0.8455495495495495,\n          0.8434270952927669\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"roc_auc\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0037082727533011384,\n        \"min\": 0.9160123807387366,\n        \"max\": 0.9245760161880869,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.9230701177371813,\n          0.9216147703231903,\n          0.9172743607426483\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saved: /content/models/hybrid_metrics.csv\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "                             accuracy  precision    recall        f1   roc_auc\n",
              "version                                                                       \n",
              "Ensemble@0.5                 0.848786   0.855250  0.839480  0.847291  0.923818\n",
              "HybridA (moderate=positive)  0.825214   0.777412  0.911092  0.838960  0.923818\n",
              "HybridB (moderate=negative)  0.833429   0.913622  0.736278  0.815419  0.923818"
            ],
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              "      <th></th>\n",
              "      <th>accuracy</th>\n",
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              "      <th>Ensemble@0.5</th>\n",
              "      <td>0.848786</td>\n",
              "      <td>0.855250</td>\n",
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              "      <th>HybridA (moderate=positive)</th>\n",
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              "        document.querySelector('#df-f6d32249-0ff8-441d-be37-a9b6ed377331 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
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              "        const element = document.querySelector('#df-f6d32249-0ff8-441d-be37-a9b6ed377331');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "</style>\n",
              "\n",
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              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "          try {\n",
              "            const charts = await google.colab.kernel.invokeFunction(\n",
              "                'suggestCharts', [key], {});\n",
              "          } catch (error) {\n",
              "            console.error('Error during call to suggestCharts:', error);\n",
              "          }\n",
              "          quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "\n",
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              "type": "dataframe",
              "variable_name": "hybrid_df",
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    },
    {
      "cell_type": "code",
      "source": [
        "!pip -q install scikit-learn xgboost catboost lightgbm joblib pandas\n",
        "\n",
        "import os, json, joblib, numpy as np, pandas as pd\n",
        "from pathlib import Path\n",
        "from sklearn.model_selection import StratifiedKFold, RandomizedSearchCV, train_test_split\n",
        "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
        "from sklearn.compose import ColumnTransformer\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.impute import SimpleImputer\n",
        "\n",
        "from xgboost import XGBClassifier\n",
        "from catboost import CatBoostClassifier\n",
        "from lightgbm import LGBMClassifier\n",
        "\n",
        "BASE = Path(\"/content\").resolve()\n",
        "DATA_PATH = BASE / \"cardio_train_extended.csv\"\n",
        "MODELS_DIR = BASE / \"models\"; MODELS_DIR.mkdir(parents=True, exist_ok=True)\n",
        "\n",
        "# Data + minimal features\n",
        "df = pd.read_csv(DATA_PATH)\n",
        "if \"BMI\" not in df.columns:\n",
        "    df[\"BMI\"] = df[\"weight\"] / ((df[\"height\"]/100.0)**2)\n",
        "if \"BP_diff\" not in df.columns and {\"ap_hi\",\"ap_lo\"}.issubset(df.columns):\n",
        "    df[\"BP_diff\"] = df[\"ap_hi\"] - df[\"ap_lo\"]\n",
        "if \"MAP\" not in df.columns and {\"ap_hi\",\"ap_lo\"}.issubset(df.columns):\n",
        "    df[\"MAP\"] = (df[\"ap_hi\"] + 2*df[\"ap_lo\"]) / 3.0\n",
        "if \"ap_hi\" in df and \"ap_lo\" in df:\n",
        "    df[\"ap_hi\"] = df[\"ap_hi\"].clip(80, 250); df[\"ap_lo\"] = df[\"ap_lo\"].clip(40, 150)\n",
        "if \"BMI\" in df:\n",
        "    df[\"BMI\"] = df[\"BMI\"].clip(10, 60)\n",
        "\n",
        "drop_cols = [c for c in [\"id\",\"age\",\"Reason\"] if c in df.columns]\n",
        "X = df.drop(columns=drop_cols + [\"cardio\"]); y = df[\"cardio\"].astype(int)\n",
        "\n",
        "cat_cols = [c for c in X.columns if X[c].dtype==\"object\" or str(X[c].dtype).startswith(\"category\")]\n",
        "num_cols = [c for c in X.columns if c not in cat_cols]\n",
        "preprocessor = ColumnTransformer([\n",
        "    (\"num\", Pipeline([(\"imputer\", SimpleImputer(strategy=\"median\")), (\"scaler\", StandardScaler())]), num_cols),\n",
        "    (\"cat\", Pipeline([(\"imputer\", SimpleImputer(strategy=\"most_frequent\")),\n",
        "                      (\"onehot\", OneHotEncoder(handle_unknown=\"ignore\", sparse_output=False))]), cat_cols),\n",
        "], remainder=\"drop\")\n",
        "\n",
        "X_tr_raw, X_te_raw, y_tr, y_te = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)\n",
        "X_tr = preprocessor.fit_transform(X_tr_raw); X_te = preprocessor.transform(X_te_raw)\n",
        "\n",
        "pos = int((y_tr==1).sum()); neg = int((y_tr==0).sum()); spw = (neg/pos) if pos>0 else 1.0\n",
        "cv = StratifiedKFold(n_splits=5, shuffle=True, random_state=42)\n",
        "\n",
        "# XGBoost\n",
        "param_xgb = {\"n_estimators\":[200,400,800], \"max_depth\":[3,6,9], \"learning_rate\":[0.01,0.03,0.05,0.1],\n",
        "             \"subsample\":[0.7,0.9,1.0], \"colsample_bytree\":[0.7,0.9,1.0], \"reg_lambda\":[0.0,1.0,2.0],\n",
        "             \"min_child_weight\":[1,3,5]}\n",
        "xgb_base = XGBClassifier(eval_metric=\"logloss\", random_state=42, n_jobs=-1, tree_method=\"hist\",\n",
        "                         scale_pos_weight=spw)\n",
        "xgb_cv = RandomizedSearchCV(xgb_base, param_xgb, n_iter=25, scoring=\"roc_auc\", cv=cv, n_jobs=-1, random_state=42, verbose=1)\n",
        "xgb_cv.fit(X_tr, y_tr); best_xgb = xgb_cv.best_estimator_\n",
        "joblib.dump(best_xgb, MODELS_DIR / \"XGBoost_best_5cv.joblib\")\n",
        "\n",
        "# CatBoost\n",
        "param_cat = {\"depth\":[4,6,8], \"learning_rate\":[0.01,0.03,0.05,0.1], \"iterations\":[400,700,1000], \"l2_leaf_reg\":[1,3,5,7]}\n",
        "cat_base = CatBoostClassifier(loss_function=\"Logloss\", random_seed=42, verbose=0, class_weights=[1.0, spw])\n",
        "cat_cv = RandomizedSearchCV(cat_base, param_cat, n_iter=20, scoring=\"roc_auc\", cv=cv, n_jobs=-1, random_state=42, verbose=1)\n",
        "cat_cv.fit(X_tr, y_tr); best_cat = cat_cv.best_estimator_\n",
        "joblib.dump(best_cat, MODELS_DIR / \"CatBoost_best_5cv.joblib\")\n",
        "\n",
        "# LightGBM\n",
        "param_lgb = {\"n_estimators\":[400,700,1000], \"num_leaves\":[31,63,127], \"learning_rate\":[0.01,0.03,0.05,0.1],\n",
        "             \"subsample\":[0.7,0.9,1.0], \"colsample_bytree\":[0.7,0.9,1.0], \"min_child_samples\":[10,20,40],\n",
        "             \"reg_lambda\":[0.0,0.5,1.0,2.0]}\n",
        "lgb_base = LGBMClassifier(random_state=42, n_jobs=-1, class_weight=\"balanced\")\n",
        "lgb_cv = RandomizedSearchCV(lgb_base, param_lgb, n_iter=25, scoring=\"roc_auc\", cv=cv, n_jobs=-1, random_state=42, verbose=1)\n",
        "lgb_cv.fit(X_tr, y_tr); best_lgb = lgb_cv.best_estimator_\n",
        "joblib.dump(best_lgb, MODELS_DIR / \"LightGBM_best_5cv.joblib\")\n",
        "\n",
        "# Save CV summaries\n",
        "pd.DataFrame(xgb_cv.cv_results_).to_csv(MODELS_DIR / \"xgb_5cv_results.csv\", index=False)\n",
        "pd.DataFrame(cat_cv.cv_results_).to_csv(MODELS_DIR / \"cat_5cv_results.csv\", index=False)\n",
        "pd.DataFrame(lgb_cv.cv_results_).to_csv(MODELS_DIR / \"lgb_5cv_results.csv\", index=False)\n",
        "\n",
        "print(\"Saved tuned models and CV results to\", MODELS_DIR)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "35YX8FkRYW9i",
        "outputId": "6e9d7bf3-663d-4d10-a3d9-6f719d1573d8"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Fitting 5 folds for each of 25 candidates, totalling 125 fits\n",
            "Fitting 5 folds for each of 20 candidates, totalling 100 fits\n",
            "Fitting 5 folds for each of 25 candidates, totalling 125 fits\n",
            "[LightGBM] [Info] Number of positive: 27983, number of negative: 28017\n",
            "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.014041 seconds.\n",
            "You can set `force_col_wise=true` to remove the overhead.\n",
            "[LightGBM] [Info] Total Bins 2004\n",
            "[LightGBM] [Info] Number of data points in the train set: 56000, number of used features: 39\n",
            "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=-0.000000\n",
            "[LightGBM] [Info] Start training from score -0.000000\n",
            "Saved tuned models and CV results to /content/models\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Compute and save model metrics + Hybrid A/B metrics\n",
        "!pip -q install scikit-learn joblib pandas\n",
        "\n",
        "import os, joblib, numpy as np, pandas as pd, matplotlib.pyplot as plt, seaborn as sns\n",
        "from pathlib import Path\n",
        "from sklearn.metrics import precision_recall_curve, average_precision_score\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
        "from sklearn.compose import ColumnTransformer\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.impute import SimpleImputer\n",
        "\n",
        "BASE = Path(\"/content\")\n",
        "MODELS_DIR = BASE / \"models\"\n",
        "REPORTS = BASE / \"reports\"; REPORTS.mkdir(exist_ok=True)\n",
        "PR_PNG = REPORTS / \"pr_curves.png\"\n",
        "DATA_PATH = BASE / \"cardio_train_extended.csv\"\n",
        "\n",
        "# Rebuild test set\n",
        "df = pd.read_csv(DATA_PATH)\n",
        "drop_cols = [c for c in [\"id\",\"age\",\"Reason\"] if c in df.columns]\n",
        "X = df.drop(columns=drop_cols + [\"cardio\"]); y = df[\"cardio\"].astype(int)\n",
        "\n",
        "cat_cols = [c for c in X.columns if X[c].dtype==\"object\" or str(X[c].dtype).startswith(\"category\")]\n",
        "num_cols = [c for c in X.columns if c not in cat_cols]\n",
        "preprocessor = ColumnTransformer([\n",
        "    (\"num\", Pipeline([(\"imputer\", SimpleImputer(strategy=\"median\")), (\"scaler\", StandardScaler())]), num_cols),\n",
        "    (\"cat\", Pipeline([(\"imputer\", SimpleImputer(strategy=\"most_frequent\")),\n",
        "                      (\"onehot\", OneHotEncoder(handle_unknown=\"ignore\", sparse_output=False))]), cat_cols),\n",
        "], remainder=\"drop\")\n",
        "Xtr_raw, Xte_raw, ytr, yte = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)\n",
        "Xtr = preprocessor.fit_transform(Xtr_raw)\n",
        "Xte = preprocessor.transform(Xte_raw)\n",
        "\n",
        "# Load models and store probabilities in a dictionary\n",
        "model_probs = {}\n",
        "\n",
        "def try_load_and_predict(name_list, X_test_data):\n",
        "    for nm in name_list:\n",
        "        p = MODELS_DIR / nm\n",
        "        if p.exists():\n",
        "            try:\n",
        "                model = joblib.load(p)\n",
        "                # Check if predict_proba is available, otherwise skip\n",
        "                if hasattr(model, 'predict_proba'):\n",
        "                    probs = model.predict_proba(X_test_data)[:, 1]\n",
        "                    return probs, nm.replace(\".joblib\", \"\")\n",
        "                else:\n",
        "                    print(f\"Model {nm} does not have predict_proba. Skipping.\")\n",
        "                    return None, None\n",
        "            except Exception as e:\n",
        "                print(f\"Error loading or predicting with {nm}: {e}\")\n",
        "                return None, None\n",
        "    return None, None\n",
        "\n",
        "xgb_probs, xgb_name = try_load_and_predict([\"XGBoost_best_5cv.joblib\",\"XGB_spw.joblib\"], Xte)\n",
        "if xgb_probs is not None:\n",
        "    model_probs[xgb_name] = xgb_probs\n",
        "\n",
        "cat_probs, cat_name = try_load_and_predict([\"CatBoost_best_5cv.joblib\",\"CAT_cw.joblib\"], Xte)\n",
        "if cat_probs is not None:\n",
        "    model_probs[cat_name] = cat_probs\n",
        "\n",
        "lgb_probs, lgb_name = try_load_and_predict([\"LightGBM_best_5cv.joblib\",\"LGBM_cw.joblib\"], Xte)\n",
        "if lgb_probs is not None:\n",
        "    model_probs[lgb_name] = lgb_probs\n",
        "\n",
        "# Calculate ensemble probability if both XGB and CAT probabilities are available\n",
        "ensemble_probs = None\n",
        "ensemble_name = None\n",
        "if xgb_probs is not None and cat_probs is not None:\n",
        "    ensemble_probs = 0.5 * xgb_probs + 0.5 * cat_probs\n",
        "    ensemble_name = \"Ensemble(XGB+CAT)\"\n",
        "    model_probs[ensemble_name] = ensemble_probs\n",
        "\n",
        "\n",
        "# Convert yte to numpy array with explicit integer type\n",
        "yte_np = yte.values.astype(np.int64).flatten()\n",
        "\n",
        "# Add debug prints for yte_np\n",
        "print(f\"yte_np unique values: {np.unique(yte_np)}\")\n",
        "print(f\"yte_np dtype: {yte_np.dtype}\")\n",
        "print(f\"yte_np shape: {yte_np.shape}\")\n",
        "\n",
        "\n",
        "# Plot PR curves\n",
        "plt.figure(figsize=(8,6))\n",
        "for name, probs_arr in model_probs.items():\n",
        "    if probs_arr is not None:\n",
        "        # Ensure probs_arr is also a numpy array and same length as yte_np\n",
        "        probs_arr = np.asarray(probs_arr).flatten()\n",
        "        if len(probs_arr) != len(yte_np):\n",
        "            print(f\"Skipping {name} due to length mismatch: probs_arr length {len(probs_arr)}, yte_np length {len(yte_np)}\")\n",
        "            continue\n",
        "\n",
        "        prec, rec, _ = precision_recall_curve(yte_np, probs_arr)\n",
        "        ap = average_precision_score(yte_np, probs_arr)\n",
        "        plt.plot(rec, prec, label=f\"{name} (AP={ap:.3f})\")\n",
        "\n",
        "plt.xlabel(\"Recall\"); plt.ylabel(\"Precision\"); plt.title(\"Precision-Recall Curves\")\n",
        "plt.legend()\n",
        "plt.tight_layout(); plt.savefig(PR_PNG, dpi=200); plt.close()\n",
        "print(\"Saved:\", PR_PNG)\n",
        "\n",
        "# Save AP table\n",
        "ap_rows = []\n",
        "for name, probs_arr in model_probs.items():\n",
        "     # Ensure probs_arr is also a numpy array and same length as yte_np\n",
        "    probs_arr = np.asarray(probs_arr).flatten()\n",
        "    if len(probs_arr) != len(yte_np):\n",
        "        continue # Skip if lengths don't match\n",
        "\n",
        "    ap_rows.append({\"model\": name, \"average_precision\": average_precision_score(yte_np, probs_arr)})\n",
        "\n",
        "pd.DataFrame(ap_rows).to_csv(MODELS_DIR / \"pr_auc_table.csv\", index=False)\n",
        "print(\"Saved:\", MODELS_DIR / \"pr_auc_table.csv\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "n3Fu7hdPniWv",
        "outputId": "97bce4b2-95d0-41c7-a2c7-15546fc16dfd"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/sklearn/utils/validation.py:2739: UserWarning: X does not have valid feature names, but LGBMClassifier was fitted with feature names\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "yte_np unique values: [0 1]\n",
            "yte_np dtype: int64\n",
            "yte_np shape: (14000,)\n",
            "Saved: /content/reports/pr_curves.png\n",
            "Saved: /content/models/pr_auc_table.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip -q install scikit-learn matplotlib joblib pandas\n",
        "\n",
        "import os, joblib, numpy as np, pandas as pd, matplotlib.pyplot as plt\n",
        "from pathlib import Path\n",
        "from sklearn.calibration import calibration_curve\n",
        "from sklearn.metrics import brier_score_loss\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
        "from sklearn.compose import ColumnTransformer\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.impute import SimpleImputer\n",
        "\n",
        "BASE = Path(\"/content\")\n",
        "MODELS_DIR = BASE / \"models\"\n",
        "REPORTS = BASE / \"reports\"; REPORTS.mkdir(exist_ok=True)\n",
        "CAL_PNG = REPORTS / \"calibration_curve.png\"\n",
        "DATA_PATH = BASE / \"cardio_train_extended.csv\"\n",
        "\n",
        "# Rebuild test set\n",
        "df = pd.read_csv(DATA_PATH)\n",
        "drop_cols = [c for c in [\"id\",\"age\",\"Reason\"] if c in df.columns]\n",
        "X = df.drop(columns=drop_cols + [\"cardio\"]); y = df[\"cardio\"].astype(int)\n",
        "\n",
        "cat_cols = [c for c in X.columns if X[c].dtype==\"object\" or str(X[c].dtype).startswith(\"category\")]\n",
        "num_cols = [c for c in X.columns if c not in cat_cols]\n",
        "preprocessor = ColumnTransformer([\n",
        "    (\"num\", Pipeline([(\"imputer\", SimpleImputer(strategy=\"median\")), (\"scaler\", StandardScaler())]), num_cols),\n",
        "    (\"cat\", Pipeline([(\"imputer\", SimpleImputer(strategy=\"most_frequent\")),\n",
        "                      (\"onehot\", OneHotEncoder(handle_unknown=\"ignore\", sparse_output=False))]), cat_cols),\n",
        "], remainder=\"drop\")\n",
        "Xtr_raw, Xte_raw, ytr, yte = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)\n",
        "Xtr = preprocessor.fit_transform(Xtr_raw)\n",
        "Xte = preprocessor.transform(Xte_raw)\n",
        "\n",
        "# Load tuned or fallback models and ensemble\n",
        "def load_m(n):\n",
        "    p = MODELS_DIR / n\n",
        "    return joblib.load(p) if p.exists() else None\n",
        "\n",
        "xgb = load_m(\"XGBoost_best_5cv.joblib\") or load_m(\"XGB_spw.joblib\")\n",
        "cat = load_m(\"CatBoost_best_5cv.joblib\") or load_m(\"CAT_cw.joblib\")\n",
        "if xgb is None or cat is None:\n",
        "    raise RuntimeError(\"Need XGB and CAT models for ensemble calibration.\")\n",
        "ens_prob = 0.5*xgb.predict_proba(Xte)[:,1] + 0.5*cat.predict_proba(Xte)[:,1]\n",
        "\n",
        "prob_true, prob_pred = calibration_curve(yte, ens_prob, n_bins=10, strategy=\"quantile\")\n",
        "brier = brier_score_loss(yte, ens_prob)\n",
        "print(\"Brier score (ensemble):\", brier)\n",
        "\n",
        "plt.figure(figsize=(6,6))\n",
        "plt.plot(prob_pred, prob_true, 'o-', label='Ensemble')\n",
        "plt.plot([0,1],[0,1],'k--', label='Perfectly calibrated')\n",
        "plt.xlabel(\"Mean predicted probability\"); plt.ylabel(\"Fraction of positives\")\n",
        "plt.title(f\"Calibration Curve (Brier={brier:.4f})\")\n",
        "plt.legend(); plt.tight_layout(); plt.savefig(CAL_PNG, dpi=200); plt.close()\n",
        "print(\"Saved:\", CAL_PNG)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MK_0Jr-gpdee",
        "outputId": "b1bc5020-e455-4415-b9a9-9a3c2b118ec6"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Brier score (ensemble): 0.1129542061222123\n",
            "Saved: /content/reports/calibration_curve.png\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from IPython.display import Image, display\n",
        "display(Image(\"/content/reports/calibration_curve.png\"))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 774
        },
        "id": "eFxMmb3HqNf7",
        "outputId": "7199c196-ecc4-42ae-94e6-bab19a84b875"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip -q install scikit-learn matplotlib seaborn joblib pandas\n",
        "\n",
        "import os, joblib, numpy as np, pandas as pd, matplotlib.pyplot as plt, seaborn as sns\n",
        "from pathlib import Path\n",
        "from sklearn.metrics import confusion_matrix\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
        "from sklearn.compose import ColumnTransformer\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.impute import SimpleImputer\n",
        "\n",
        "BASE = Path(\"/content\")\n",
        "MODELS_DIR = BASE / \"models\"\n",
        "REPORTS = BASE / \"reports\"; REPORTS.mkdir(exist_ok=True)\n",
        "DATA_PATH = BASE / \"cardio_train_extended.csv\"\n",
        "\n",
        "# Rebuild test set\n",
        "df = pd.read_csv(DATA_PATH)\n",
        "drop_cols = [c for c in [\"id\",\"age\",\"Reason\"] if c in df.columns]\n",
        "X = df.drop(columns=drop_cols + [\"cardio\"]); y = df[\"cardio\"].astype(int)\n",
        "\n",
        "cat_cols = [c for c in X.columns if X[c].dtype==\"object\" or str(X[c].dtype).startswith(\"category\")]\n",
        "num_cols = [c for c in X.columns if c not in cat_cols]\n",
        "preprocessor = ColumnTransformer([\n",
        "    (\"num\", Pipeline([(\"imputer\", SimpleImputer(strategy=\"median\")), (\"scaler\", StandardScaler())]), num_cols),\n",
        "    (\"cat\", Pipeline([(\"imputer\", SimpleImputer(strategy=\"most_frequent\")),\n",
        "                      (\"onehot\", OneHotEncoder(handle_unknown=\"ignore\", sparse_output=False))]), cat_cols),\n",
        "], remainder=\"drop\")\n",
        "Xtr_raw, Xte_raw, ytr, yte = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)\n",
        "Xtr = preprocessor.fit_transform(Xtr_raw)\n",
        "Xte = preprocessor.transform(Xte_raw)\n",
        "\n",
        "# Ensemble probs\n",
        "def load_m(n):\n",
        "    p = MODELS_DIR / n\n",
        "    return joblib.load(p) if p.exists() else None\n",
        "xgb = load_m(\"XGBoost_best_5cv.joblib\") or load_m(\"XGB_spw.joblib\")\n",
        "cat = load_m(\"CatBoost_best_5cv.joblib\") or load_m(\"CAT_cw.joblib\")\n",
        "if xgb is None or cat is None:\n",
        "    raise RuntimeError(\"Need XGB and CAT models for ensemble confusion matrix.\")\n",
        "ens_prob = 0.5*xgb.predict_proba(Xte)[:,1] + 0.5*cat.predict_proba(Xte)[:,1]\n",
        "\n",
        "def plot_cm(name, pred, y_true, out_png):\n",
        "    cm = confusion_matrix(y_true, pred)\n",
        "    plt.figure(figsize=(4,3))\n",
        "    sns.heatmap(cm, annot=True, fmt=\"d\", cmap=\"Blues\", cbar=False)\n",
        "    plt.xlabel(\"Predicted\"); plt.ylabel(\"Actual\"); plt.title(name)\n",
        "    plt.tight_layout(); plt.savefig(out_png, dpi=200); plt.close()\n",
        "    print(\"Saved:\", out_png)\n",
        "\n",
        "# Baseline @0.5\n",
        "pred05 = (ens_prob >= 0.5).astype(int)\n",
        "plot_cm(\"Ensemble @0.5\", pred05, yte, REPORTS / \"cm_ensemble_05.png\")\n",
        "\n",
        "# Hybrid A (moderate=positive), Hybrid B (moderate=negative)\n",
        "th_low, th_high = 0.30, 0.70\n",
        "predA = (ens_prob >= th_low).astype(int)   # moderate positive\n",
        "predB = (ens_prob >= th_high).astype(int)  # moderate negative\n",
        "plot_cm(\"Hybrid A\", predA, yte, REPORTS / \"cm_hybrid_A.png\")\n",
        "plot_cm(\"Hybrid B\", predB, yte, REPORTS / \"cm_hybrid_B.png\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BmBr23eSqQCs",
        "outputId": "5350d429-c689-47f1-cbc5-77629adebe07"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saved: /content/reports/cm_ensemble_05.png\n",
            "Saved: /content/reports/cm_hybrid_A.png\n",
            "Saved: /content/reports/cm_hybrid_B.png\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from IPython.display import Image, display\n",
        "\n",
        "paths = [\n",
        "    \"/content/reports/cm_ensemble_05.png\",\n",
        "    \"/content/reports/cm_hybrid_A.png\",\n",
        "    \"/content/reports/cm_hybrid_B.png\",\n",
        "]\n",
        "\n",
        "for p in paths:\n",
        "    display(Image(filename=p))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "PlYp4X8ergXn",
        "outputId": "36e108a8-d54f-446a-c88c-9d357f53e8a1"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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H2zw+WVbvZqRsl/L4e83d3V1vvPGGhgwZIklas2aN7ty5k+U7NwDuPR7BAoA8kt1v1m1xdHTU3LlzNXXqVNWsWTPVvnPnzum3337TkCFDVKpUKQ0ZMkTXrl1L00d633Jnh60PoSll91rz4r1Jyd3dPUvtPDw8Uv2ePL1xduT2/czJAot3n7tQoUI238PkuxW+vr6ZfsivVKlSuvsSExOtf5ZsBduUdx9CQ0MzL1xJ00AnS3mHywzt2rWzbt++fTvLC4ACMAcBBADyGYvFoueee06HDh1ScHCwfvzxRw0cODDVB8i4uDhNmzZN/v7+aR6ZSfmhu3v37jKSJhzJ1k9mK13bm61V1m25e3VvLy+vbJ8r5fs5d+7cHL2fOZV8bFbuCuXG0aNHrY9MVa5cOc3+atWqWbez+mH+3Llz1m1ba4vcSyVLlkz1e1hYmKnnB5AxAggA5GN+fn4aOnSofvnlF508eVLBwcF69dVX5ejoKClp3Ma7776b6piUC9+l/Bb6QZLVcRUp2xUoUCBHAcSe72fy42Lh4eE270ol360ICwtLE7bultHg/tmzZ0tKGquRctxMsho1ali39+zZk3nhknbv3m3zeDPc/V7cfScMgH0RQADgPuLn56fPPvssVehYuHBhqjZNmjSxbu/duzfTD6b3o6tXr6YaNJ+elAPI69Wrl6NHwVK+n5s2bcr28blRvnx5SUl3QkJCQtLsT16VPCEhQYsXL063n9u3b2vVqlU29129elVfffWVJOnpp59ONXtVsjZt2li3g4ODdenSpQzrvnjxonUQuJR6VjAz3B2SSpUqZer5AWSMAAIA96Hu3btbt+9+Jr9SpUrWb5zv3LmjadOmmVqbWWbMmJGtNik/RGdHysHdc+fOzfIYiLxQrVo1ayD466+/0uzv0aOHdfrct956K90B72+++abNfZGRkerZs6ciIiLk6uqqsWPH2jy+atWqqcYkTZ8+PcO6U+5/5JFHMhx/ci/89NNP1u1atWqlO2EDAPsggABAPpLVZ9VTPlpUrFixNPvfeOMN6/bYsWNtru2Qnvvlsa3PP/88w8eKfvnlF+3YsUPS3+NqcsLf31+tW7eWlDSz0zPPPJPlqWjv3LmTq1mwChQooICAAEmyeYejUqVKeuqppyQlPY7XtGlTzZ07V5GRkYqNjdXevXvVv39/ffPNN6nu/oSGhmrKlCmqV6+eNm/eLEmaNm1ahkHhxRdftG5/+umn6Qaxy5cv69NPP7X+PmLEiGxcsW3JUxFnxZw5czRz5kzr7/3798/1+QHkMRMWOwSAfCHlSujjxo3Lkz4zW0X7bgMHDrS2//nnn9Psd3NzM4YNG2asXbvW5mrkhmEYO3bsMCpVqmTtZ+jQoWnaxMfHG23btrW2KViwoPH9998bsbGxNvu8fv268euvvxqtWrUyevfunSfXqhQrUmfm9OnT1rbly5e32SblSuguLi6GJKNy5crGrl270rT96aefrG0kGUOGDEn33Fm5rgMHDhienp7Wdk2aNDG2bt2abp/BwcHGe++9Z5QsWdJYtGhRhteemUmTJhmSDCcnJyM4ODjN/qtXr6b682Drp0CBAsZ7771nc5+bm5sRGBiYaR137twxKleunGpV+DNnzqRqc+bMGaN+/frWNn5+fkZcXFy6fd69un1QUJDNduPHjzfatWtnzJkzx7h9+7bNNpGRkcY777xjODo6WvurWLFiuu0B2A/rgAB4KC1dujRbM+O4u7vrk08+uYcVJYmOjtaPP/6oH3/8UV5eXqpXr57Kly8vDw8PhYWF6ejRozp06JC1fdGiRW0uqOjo6KhZs2apffv22rNnj27cuKEXXnhBr7/+upo2barSpUvL0dFRERERCg4O1pEjR6yDnHv16nXPrzO3mjZtqsKFC2vevHlq1KiRAgICVKNGDcXGxmrLli06deqUtW2NGjVSfSOfE7Vr19bvv/+up556Srdv39a2bdsUEBCgypUrq0GDBipcuLBiYmJ05coV7d+/XxcuXMjtJVoNGDBA48ePV1hYmP7zn/+kWcvD19dX69ev14ABA6yLWKZUqVIlBQYGpplJy9nZWf/85z/11ltvqWrVqpnW4ezsrD///FMtWrRQVFSU9uzZo6pVq+qxxx5T6dKlFRISojVr1ljPU7BgQf35559p1oTJCcMwtGrVKq1atUoFChRQrVq1VKVKFfn4+OjOnTs6c+aMtm3blmrtEV9fXy1dujRPFkEEkLcIIAAeSjt27LA+npMV3t7epgQQT09P6+MmN2/e1IYNG7RhwwabbevWras//vgj3QG2RYoU0aZNm/Tqq69q6tSpio+P140bN7RixYp0z+/m5qaGDRvm/kJM8MsvvyguLk6LFy/Wli1bUg04T9akSRPNnz8/S4tEZqZr167avHmznnvuOesCgCdPnsxwMHyFChWyvIJ9ery8vPTmm29q9OjR+vPPPzVz5kz985//TNWmdOnSWr16tbZv3641a9bo6tWrKly4sBo1aqR27drJ0dFRJ06c0L///W8VKVJEtWvXVosWLbI9O1TdunW1cuVK9evXT6dPn1ZcXJyWL1+epl2lSpX022+/qXbt2rm6dltiY2O1e/fuVLNs3e3xxx/X1KlTVbp06Tw/P4DcI4AAQD4SHh6u9evXa926ddqxY4eOHz+u0NBQxcTEyN3dXWXKlFHDhg3Vq1cvde/e3ToAOT1ubm767rvv9MYbb+jXX3/VmjVrdOzYMYWHhysxMVHe3t6qVKmS6tatq8cee0yPP/54tlcKt5eCBQtq4cKFmjNnjqZPn679+/crNDRUPj4+qlOnjvr166cBAwZk+h5lR926dbVz506tXLlS8+fP16ZNm3Tx4kVFRkaqQIECKlq0qKpVq6YmTZqoY8eOatq0aZ4swjhixAj98MMPOn78uJ577jlVrFjR5nS5/v7+8vf3t9lHlSpVNGHChFzX0rRpU+3fv1+BgYGaNWuW9c9TkSJF5Ofnpz59+mjAgAF5uvr5mDFj1KpVK23evFlbt27V2bNnFR4ervDwcFksFvn4+Khq1apq1qyZ+vbtq7p16+bZuQHkPYth5GKFJAAAYIojR44oICBAN27ckJeXl3799ddUs6FlR/LK58wOBcAemAULAID7QI0aNTRz5kw5Ozvr5s2b6tmzp15//XVFRkZmq58DBw6oWbNmat26tW7evHlvigWADBBAAAC4T3Tp0kV//fWXihQpIsMwNHHiRFWqVEnjx4/Xvn370j0uOjpay5YtU7du3VS3bl1t27ZNhw4dynQ9DwC4F3gECwCA+8zp06fVv39/6xoeyUqWLKkaNWqoWLFiKliwoK5du6aQkBDt3r071dolPj4++u677/T000+bXToAEEAAALhfLViwQGPHjtXBgwez1N7Hx0cjRozQyy+/zPgPAHZDAAEA4D63bds2LVmyRFu2bNGxY8d09epVxcfHy9fXVyVKlJC/v786duyo9u3b5+nsVACQEwQQAAAAAKZhEDoAAAAA0xBAAAAAAJiGAAIAAADANAQQAAAAAKYhgAAAAAAwDQEEAAAAgGkIIAAAAABMQwABAAAAYBoCCAAAAADTEEAAAAAAmMbJ3gUg77nVf8neJQBAvhKxY5K9SwCAfMfVTkmAOyAAAAAATEMAAQAAAGAaAggAAAAA0xBAAAAAAJiGAAIAAADANAQQAAAAAKYhgAAAAAAwDQEEAAAAgGkIIAAAAABMQwABAAAAYBoCCAAAAADTEEAAAAAAmIYAAgAAAMA0BBAAAAAApiGAAAAAADANAQQAAACAaQggAAAAAExDAAEAAABgGgIIAAAAANMQQAAAAACYhgACAAAAwDQEEAAAAACmIYAAAAAAMA0BBAAAAIBpCCAAAAAATEMAAQAAAGAaAggAAAAA0xBAAAAAAJiGAAIAAADANAQQAAAAAKYhgAAAAAAwDQEEAAAAgGkIIAAAAABMQwABAAAAYBoCCAAAAADTEEAAAAAAmIYAAgAAAMA0BBAAAAAApiGAAAAAADANAQQAAACAaQggAAAAAExDAAEAAABgGgIIAAAAANMQQAAAAACYhgACAAAAwDQEEAAAAACmIYAAAAAAMA0BBAAAAIBpCCAAAAAATEMAAQAAAGAaAggAAAAA0xBAAAAAAJiGAAIAAADANAQQAAAAAKYhgAAAAAAwDQEEAAAAgGkIIAAAAABMQwABAAAAYBoCCAAAAADTEEAAAAAAmIYAAgAAAMA0BBAAAAAApiGAAAAAADANAQQAAACAaQggAAAAAExDAAEAAABgGgIIAAAAANMQQAAAAACYhgACAAAAwDQEEAAAAACmIYAAAAAAMA0BBAAAAIBpCCAAAAAATEMAAQAAAGAaAggAAAAA0xBAAAAAAJiGAAIAAADANAQQAAAAAKYhgAAAAAAwDQEEAAAAgGkIIAAAAABMQwABAAAAYBoCCAAAAADTEEAAAAAAmIYAAgAAAMA0BBAAAAAApiGAAAAAADANAQQAAACAaZzsXQAA85QtUUgDezbV4y1rq1zJQvJyd1VYRJTOXgzXup3H9efK3Tp88lKqY9xcndWhWU21DaiuhjXLqVLZovJ0K6Abt2J04twV/bX5iKbO2aDQ8JsZntvDzUX1apRV41oV1Kh2eTWsVU4VSvtKks5eDFf1LuMyrd9isahZ/Urq0KymAupWkl+F4irs7a6Y2DidvxyhjbtPaOqcjTp4/GLO3yQAD7XnBj2jnTu2Z+uYqT8HqrF/kzSvh4Sc1++/ztCWLZt16eIFJRqGihUtpoCmzfTUP/upSpWqGfYbHhamdWuDtH3bVgUfPaJLly4pLi5OPj4+8qtWTY+166Cu3XvI1dU1W/UC9mYxDMOwdxHIW271X7J3CciHhj/dSu+N7C5P9wLptpn0W5DGfPqn9ffaVUtpzc+vyssj43/crt+M1kv//V1zVu5Ot83yH/+lVo39bO7LagA5tvQ9lS1ZOMM2CQmJ+jJwtcZ+vSDT/vDwiNgxyd4l4D6R3QDi4OCg5avWqnjx4qlenzPrf/powvuKi4uzeZyzs7NeG/Om+vbrb3P/n7Nn6YP3xyshISHD85crX0GfffGV/KpVz3LNQDJXO92K4A4I8BB4Y0hHjR/RTZJ07Eyofp67WTsPn9WNm9Eq7OOhetXKqnvbOkq86/uIgh6u1vCxec9JLdtwULsOn9O1yFvyLeSpHo/V0+Anmsnby00/fzBQN27FaOWmwzZrsFgs1u3wyFvafficAupWzDTcpFSyqLck6cS5K5q/eq+27D2lS1evy62Asx5t7KeR/dqosLeHXnu2vRISEzVu0qJsvU8A8O5/Jyg6OjrDNqdOntDrr70iSfIPaJomfCxbukTvv/uOJMnLy0vPDHxW/k0C5OLioqNHjuiXn6bq3Lmz+vjD/6pwkcLq+HjnNOcIDw9TQkKCnJ2d9WirNmravLkqVaosdw8PhZw7pz/nzNaWzRt17uwZDRvyrP43e56KlyiRR+8CcG9xB+QBxB0QpNTa30/LfviXJOnXRds0/L3fFB+faLOts5Oj4uL//rYtoG5FjejbWh/8uExHT122eUzX1o/of58NlYODg06eu6raPd612W7wk80VdTtGOw+d1anzYZKko0veVflSRbJ8ByTol1f1wQ/LtGrLEZv7K5bx1drpr6lYYS/FxSWozhPv6cyF8Ez7xYOPOyDIS198NlG//DRVkvTBR5+oa7ce1n3R0dHq3PExXQsPl7u7uwJn/k9Vq6a++xsVFaVBz/TV8WPHVKSIrxYvWyl3D49UbWZM/0Xh4WEaMGiwChe2fef3008+0ozpP0uSejzxpN7774d5eZl4CNjrDgiD0IEHmMVi0df/eVqStC84RC+8m374kJQqfEjS1n2n9cybP6cbPiRp8doDWrBmnySpcrmiqle9jM12P83dpFnLd1nDR060GfR5uuFDkk6HhOnDH5dJkpydHdW9Td0cnwsAbElMTNTSJUl3V93d3fVYuw6p9m9cv07XwpO++OjXf0Ca8CFJnp6eGv36vyUl3elYMH9emjbPDBykl18dnW74kKRRL7+qokWLSpLWrPpLiYnp//0O5CcEEOAB1q5pdVUtX0yS9Pkvfykh4d7847Rux3HrdqUyRe/JObJq3Y5j1u2KZXztWAmAB9G2rVt0JTRUktSuw+Nyc3NLtf/QoYPW7eYtH023n0aN/VWgQNKYvFV/rchRLc4uLqpXv4Ek6ebNm4qMjMxRP4DZCCDAA+zJ9vUl/f83duv//kexUEF3VS5XVIUKuufJeQq4/H0PN8HO38ClrIVvAwHktUUL51u3u3XvkWb/9RQhoEiR9L8EcXJyUkHvpHFt+/buUXx8fI7quXPnjnXb0YGPdbg/MAgdeID5P1JRknT24jVF3Y7VU4830ujBHVS7ailrm+RB6d/+sU534nL2D2CLhlWs20dPp/+4lhlaNvx7Wkt71wLgwXL71i2tWbVKklSqVGmbU++6u//9xU5UVPrTkxuGoVtRUZKkuLg4nT93VhUrVc5WPXFxcdq/b6+kpLDj7eOTreMBeyGAZENCQoKCgoK0adMmHTlyROfPn1dUVJSio6Pl5uYmT09PlS1bVjVq1FDz5s3Vpk0bOTo62rtsPKQsFouqVUiamSU8MkqfjumlEf9sk6adX4Xi+vDVJ9S9bR09MfJ7XY/KePaXuz3iV1qdWtSSJB04dkHBp0NzX3wOubk666V+SdcYExunxWsP2K0WAA+eVX+tVHT0bUlSl67dUs3ulyxliNi5Y4dq1qpts6+jRw7r9u3b1t8vXbqU7QDy5+xZioiIkCS17/h4to4F7IkAkgW3bt3SZ599pq+++srm85WGYVj/Etq6dav1dR8fH7388st69dVX5XHX7BbAvebt6SpHx6Tb8bWqlFKj2hV06ep1/eeLeVq+8ZBi7sSrYa1y+mBUTzWpU1FN61XWD+P76enRU7N8DhdnJ333zj/l5JQUtMdPtu+0tx+M6qly/79OyA+z1uvS1et2rQfAgyXl41dde/S02aZFy0fl5OSk+Ph4zQj8Wd169FChQqkHkicmJuqbr75I9drtW7eyVUvI+fOa9HVSH+7u7npu6LBsHQ/YEw8LZuLkyZNq1KiR3n33XUVERMgwDOuPu7u7ihYtqrJly6po0aJyd3dPtT8iIkLjx49X48aNdfr0aXtfCh4yHm5/Lzjo5uqiW9Gx6jj0K/2xbKcib0YrJjZOm3af1OPDvta+4BBJUo/H6qlx7fJZPscXb/5DDWsltZ+xcGuqcSZme7pTIw1/upUk6cipSxo/ebHdagHw4Am9fNm6QGGduvVUoUJFm+1KlCyp3n2SZh+8Ehqqgf37KmjNKkVFRSk2Nlb79+3ViBeGatPGDXJ2drYeFxMbk+VaoqOj9eqol3TzZtIjXm/+520VK1Y8k6OA/IM7IBmIjo5Wly5ddPz4cRmGoRo1amjAgAFq1aqVqlevLh8bz1pGRkbq6NGjWrdunQIDA3XkyBEdPXpUXbp00e7du+XqmvVF1+4WEhKSi6vBwybmTurVd3+Zt1nHz15J2y42TuMnLdK8b4ZLknp3bKgdB89m2v/owR00+MnmkqSdB8/o5Q9n5UHVOdOyYVV9N66fpKRFDvuOnqqYWNurDwNATixetNA6sUW3dO5+JHttzBu6EHJeG9av09kzZ/TyyBFp2tSqVVu1aj+iWf/7XZKy/KREfHy8xrw6SsHBRyVJfZ7qqx5PPJmNKwHsjzsgGZg8ebKOHUua0nPixIk6ePCg3njjDQUEBNgMH1LSY1cBAQF64403dPDgQX388ceSpODgYE2ePDlX9ZQtWzZLP4Ak3bwVm+r3VVuOpts2aHuw4uKS1gBpWLNcpn0/16u53h/ZXZJ09NRl9Rz5nW7H3MnkqHujQc1ymvPlMLkWcNbNWzF6YuS3dh2HAuDBtHjRAkmSi4uLHrexcnlKLi4u+nry9xr37n9VrXqNVGNFChcpoqHDXtDPM2bK0N9rQRcs6J1pDYZh6O233tSG9eskSR0e76R/j30nJ5cD2BV3QDIwa9YsWSwWDR06VK+99lq2j7dYLBozZoxOnDihKVOmaNasWTnqB8iJO3HxunLtpooV9pIkhYRGpNs29k68wiKjVLKot3wLeWbYb5/HG+qrfz8lSTp7MVxdh09SeGT2nl3OKzUqldCCSS+qoKebYmLj1OfVH7N09wYAsuPQwQM6dfKEJOnRVm2s0+dmxMHBQU/2/oee7P0P3boVpfCwcLm6ucrXt6gc/n+63HNn//77qlLlzAegT3j/XS1dnDTWrkXLRzXho4nWvoD7CQEkAydPnpQkPf3007nqp2/fvpoyZYpOnDiRq37Onz+fpXZVu32Uq/PgwXHk5CVrAMlsfvjkAevxGSxW2KXVI5r63gA5Ojro0tXr6vT8N7pwJTLP6s2OimV8teT7kfIt5Km4uAQ98+ZPWrv9WOYHAkA2LVq4wLqd2eNXtnh4eMrDI/WXOwkJCQo+ekSSVKZs2TQD1e/2xWcTrY9rNWzUWJ99+U2qMSTA/YQAkoHY2KRHWO5e5TS7ko9PuVhQTpQpUyZXx+Phs3H3CbVq7Ccp6QN78mDzu3l5uMrXJ+n544tXbM8c1drfT79+PFjOzo4Ki4hSlxe+0emQsHtTeCZKF/PR0u9fUsmi3kpISNTQd2Yw5S6AeyIuLk7Lly2RJBUqXFgtMljdPDt2bN9mnVmzYyaPdP34/bf65aekGQpr1X5E33z7fa7GlAL2xn27DCSPp1i7dm2u+gkKCpJEgID55q/ea93u3qZOuu26t61rvY2/aU/aO3UBdStq9hfPy7WAsyJv3lb3EZN15JR9FvkrWshTS75/SRVKJ60wPPKDP/S/5TvtUguAB9+mDesVce2aJKlz565ycsr9d7eGYei7yd9IkpycnPVk73+k2/a3GdM1+ZuvJElV/fz03Q9T09xNAe43BJAMdO7cWYZhaMKECdq+fXuO+ti2bZsmTJggi8WiLl265HGFQMYOHr+o5RsPSZL6PN5Irf390rQpXsRL41/sKkmKvROnGQu2ptpfx6+05n49XJ7uBRR1O1ZPjvxee45k7XHAvObt6aaF345QtYolJEljJs7Rz/M226UWAA+HnDx+FRkZke5TDwkJCfrwv+9p757dkqTnhg5TmTK2J5CZP+9PTfz4Q0lS+QoV9MOUn1ntHA8EHsHKwKhRozRt2jTdvHlTLVu21JAhQzRo0CA1bNgww0FfiYmJ2rVrl37++WdNmzZNcXFx8vb21qhRo0ysHkgyZuKfalKnogoVdNfcr17QpJlrtWLjIUXHxqlRrfIaM7iDypQoJEl679sluphi8b6KZXy18NsRKlTQXZL07uRFuh4VrZqVS6Z7vqvXbupqRFSa1yuV9VWzeqkHWSavVeLhVkD9uzVJte+vzYcVGn7T+ruLs5PmffOC6lVP+of69yXbtWZbcIa13Iq+o7MXw9PdDwAZuXH9utavS3qKoUpVP9WoWStLx+3Ytk0ffvC+Hu/UWQ0b+6tkyZKKjY3V8WPBmjN7lnXsR4uWj2rosBds9rFm9Sq9N+5tGYYhT09PvfHmW7oWcU3XIq6le97SpcvI3d09m1cJmM9iGIaRebOH16JFi/T0008rOjraOo2eh4eHqlSpojJlysjT01MuLi66c+eOoqKiFBISohMnTujW/69oahiG3NzcNGvWLNPugLjVf8mU8+D+0axeJf02cYhK+Ba0uT8xMVEfT1uh975dkur1/t2aaMp7z2TrXP/9fqk++GFpmtez21eHIV9pw67j1t/LlSys4KXvZauW9TuPq+PQr7J1DB5METsm2bsE3Idm/e93ffDeeEnSK6+N0aDBQ7J03F8rlmv0q+l/6WixWNTjiSf11tvj5eLiYrPN2/95UwsXzMtWvVN/DlRj/yaZNwT+n6udbkVwByQT3bp108aNGzVq1Cht3LhRkhQVFaV9+/Zp3759No9Jmelatmypr776SvXq1TOjXMCmzXtPqWHvDzT86Vbq1qaOKpQqIhdnR10Ou6H1O4/ruz/WpTtAHQAeVkv+//ErR0dHde7aLcvHNWjYSK+Ofl3bt23V6dOnFB4eLgeLRUWLFVNj/ybq8UQv1alT916VDeR73AHJhh07dmj+/PnauHGjjhw5orCwtDMAFSlSRDVr1lSLFi3Us2dPNW7c2PQ6uQMCAKlxBwQA0uIOyH2gcePGqQJFbGysbt68qZiYGLm6usrLy0sFChSwY4UAAABA/kYAyYUCBQoQOAAAAIBsYBpeAAAAAKYhgAAAAAAwDQEEAAAAgGkIIAAAAABMQwABAAAAYBoCCAAAAADTEEAAAAAAmIYAAgAAAMA0BBAAAAAApiGAAAAAADANAQQAAACAaQggAAAAAExDAAEAAABgGgIIAAAAANMQQAAAAACYhgACAAAAwDQEEAAAAACmIYAAAAAAMA0BBAAAAIBpCCAAAAAATEMAAQAAAGAaAggAAAAA0xBAAAAAAJiGAAIAAADANAQQAAAAAKYhgAAAAAAwDQEEAAAAgGkIIAAAAABMQwABAAAAYBoCCAAAAADTEEAAAAAAmIYAAgAAAMA0BBAAAAAApiGAAAAAADANAQQAAACAaQggAAAAAExDAAEAAABgGgIIAAAAANMQQAAAAACYhgACAAAAwDQEEAAAAACmIYAAAAAAMA0BBAAAAIBpCCAAAAAATEMAAQAAAGAaAggAAAAA0xBAAAAAAJiGAAIAAADANAQQAAAAAKYhgAAAAAAwDQEEAAAAgGkIIAAAAABM42SPkwYGBt6TfgcMGHBP+gUAAACQNyyGYRhmn9TBwUEWiyVP+7RYLIqPj8/TPu9XbvVfsncJAJCvROyYZO8SACDfcbXLrQg73QGRJDvkHgAAAAB2ZpcAcvr0aXucFgAAAICd2SWAlC9f3h6nBQAAAGBnzIIFAAAAwDQEEAAAAACmIYAAAAAAMI3dZsHKzMmTJ7Vw4ULt27dPYWFhio6OznDmLIvFotWrV5tYIQAAAIDsyncB5Pbt2xoxYoRmzJiRJnAYhpFm/ZDkNnm9rggAAACAvJevAohhGHriiSe0atUqGYYhX19flSlTRnv37pXFYlHLli117do1BQcHKz4+XhaLRdWqVVOJEiXsXToAAACALMhXY0Bmz56tv/76S5I0btw4Xb58WYGBgdb969at04EDBxQREaHPP/9cHh4eunbtmt5//30FBQXZq2wAAAAAWZSvAsjMmTMlSU2bNtW4cePk4OBg89EqDw8Pvfzyy1q9erVu3rypJ598UhcvXjS7XAAAAADZlK8CyM6dO2WxWDR06NAstW/cuLGGDx+usLAwff311/e4OgAAAAC5la8CSFhYmCSpUqVK1tecnZ2t29HR0WmO6dKliyRp8eLF97g6AAAAALmVrwKIk1PSmHgvLy/raym3L1++nOYYb29vSdL58+fvcXUAAAAAcitfBZBSpUpJkq5evWp9rUSJEnJzc5Mk7d69O80xx48flyTFx8ebUCEAAACA3MhXAaRu3bqSpAMHDlhfs1gsatKkiSTp22+/TdU+Li5On3/+uSSpatWqJlUJAAAAIKfyVQBp27atDMPQ8uXLU70+ePBgGYahtWvXqnXr1po8ebI++eQT+fv7Wweu9+nTx05VAwAAAMgqi3H3cuN2dPnyZZUuXVoODg4KDg5ONRi9c+fOWr58uc2V0OvXr69NmzbJ1dXV7JLzJbf6L9m7BADIVyJ2TLJ3CQCQ77jaaUnyfHUHpESJEoqLi1NMTEyq8CFJ8+bN01tvvaXixYvLMAwZhiFvb2+NGDFCQUFBhA8AAADgPpCv7oBk1bVr1xQfH6+iRYvaXKjwYccdEABIjTsgAJCWve6A2Om0uVO4cGF7lwAAAAAgB/LVI1gAAAAAHmwEEAAAAACmyVePYLVt2zbHx1osFq1evToPqwEAAACQ1/JVAFm7dq0sFosyGhdvaxpeW68DAAAAyH/yVQB59NFHMw0St27d0okTJxQZGSmLxSI/Pz+VLFnSpAoBAAAA5Ea+CiBr167NctulS5fqX//6l65du6Zp06apefPm964wAAAAAHnivh2E3rlzZ23cuFFOTk564okndOHCBXuXBAAAACAT920AkZJWTn/llVcUFhamTz75xN7lAAAAAMjEfR1AJKlFixaSpCVLlti5EgAAAACZue8DiIuLiyTp4sWLdq4EAAAAQGbu+wCyceNGSZK7u7udKwEAAACQmfs6gGzZskXvvfeeLBaL/P397V0OAAAAgEzkq2l433vvvUzbJCYmKiIiQjt37tS2bduUmJgoi8WiV155xYQKAQAAAORGvgog48ePz9aK5oZhyMnJSZ988onat29/DysDAAAAkBfyVQCRkkJFRiwWi7y8vFSxYkW1atVKw4YNU82aNU2qDgAAAEBu5KsAkpiYaO8SAAAAANxDFiOzWw6475wJj7F3CQCQr9QY8qu9SwCAfCd63hC7nPe+ngULAAAAwP0lXwUQBwcHOTk56fDhw1k+5uTJk9bjAAAAAORv+SqASJkPQs/r4wAAAACYJ98FkJzKzvS9AAAAAOzjvg8gYWFhkiQPDw87VwIAAAAgM/kygGT1bsatW7f0zTffSJIqV658L0sCAAAAkAfsOnK7UqVKNl/v0KGDnJ2dMzw2NjZWV65cUWJioiwWi7p163YvSgQAAACQh+waQM6cOZPmNcMwdOHChWz1ExAQoNdffz2PqgIAAABwr9g1gAwcODDV79OnT5fFYlH37t3l4+OT7nEWi0Wurq4qWbKkmjVrprZt2zIIHQAAALgP5KuV0B0cHGSxWHTgwAHVrFnT3uXct1gJHQBSYyV0AEjLXiuh56vV+8aNGydJKlasmJ0rAQAAAHAv5MsAAgAAAODBlC+n4QUAAADwYMpXAWTz5s1ydHSUm5tblmbCunDhglxdXeXk5KRdu3aZUCEAAACA3MhXAeSPP/6QYRjq2rWrSpcunWn70qVLq1u3bkpMTNTMmTNNqBAAAABAbuSrALJx40ZZLBZ16tQpy8d06dJFkrR+/fp7VRYAAACAPJKvAsjJkyclKVtT8FavXl2SdOLEiXtSEwAAAIC8k68CSExM0voVrq6uWT6mQIECkqRbt27dk5oAAAAA5J18FUAKFy4sSTp37lyWjwkJCZGkDFdOBwAAAJA/5KsAkvzo1cKFC7N8zPz58yVJ1apVuxclAQAAAMhD+SqAdO7cWYZhKDAwUBs2bMi0/fr16zVjxgxZLBZ17drVhAoBAAAA5Ea+CiDPP/+8fH19lZCQoM6dO2vSpEnWcSEpxcTE6Ouvv1aXLl0UHx+vQoUKafjw4XaoGAAAAEB2WAzDMOxdREqrVq1S586dlZCQIEny8PBQw4YNVbJkSUnSpUuXtHPnTt2+fVuGYcjJyUlLlixR+/bt7Vl2vnImPG1oA4CHWY0hv9q7BADId6LnDbHLeZ3sctYMtGvXTitWrNAzzzyjixcvKioqKs0aH8mZqXTp0poxY4Zat25th0oBAAAAZFe+CyCS1KZNG508eVKBgYFavHix9uzZo7CwMEmSr6+vGjRooG7duql///7WaXgBAAAA5H/57hGsnNizZ48CAwP1xRdf2LuUfIFHsAAgNR7BAoC07PUIVr4ahJ4dly5d0sSJE1WnTh01atRIX3/9tb1LAgAAAJCJfPkIVnqio6M1d+5cBQYGas2aNUpMTJSUNCbEYrHYuToAAAAAmbkvAkhQUJACAwM1d+5cRUVFSfp7IHrJkiX1xBNPqFevXvYsEQAAAEAW5NsAcvToUQUGBuq3335TSEiIpL9DR5kyZdSrVy/17t1bzZo14+4HAAAAcJ/IVwEkPDxcv//+uwIDA7Vr1y5Jf4cOHx8fRUZGymKx6NNPP1WfPn3sWSoAAACAHLB7AImLi9OiRYsUGBio5cuXKy4uzho6XFxc1LlzZ/Xv319dunSRm5ubnasFAAAAkBt2CyBbt25VYGCgZs2apYiICEl/DyZv3ry5+vfvrz59+qhQoUL2KhEAAABAHrNbAEkeu5F8t6NatWrq37+/+vXrpwoVKtirLAAAAAD3kN0fwfLy8tLXX3+tgQMH2rsUAAAAAPeYXRciNAxDUVFRGjx4sBo0aKDPP/9cly5dsmdJAAAAAO4huwWQtWvXatCgQfL09JRhGNq7d6/GjBmjcuXKqX379goMDLSu+QEAAADgwWC3APLoo4/qp59+UmhoqH777Td17NhRDg4OSkhI0Jo1a/Tss8+qRIkS6tu3r5YuXaqEhAR7lQoAAAAgj9j1ESxJcnV1Vd++fbVs2TKdP39en3zyiR555BEZhqHbt29r1qxZ6tatm0qWLGnvUgEAAADkksVInoYqn9m3b5+mT5+u33//XaGhoZJkXfG8ZMmS1pXQW7Zsac8y86Uz4TH2LgEA8pUaQ361dwkAkO9Ezxtil/Pm2wCSLCEhQStWrFBgYKAWLlyomJikD9fJYaRYsWJ64okn1KtXLz322GP2LDXfIIAAQGoEEABIiwCSBTdu3ND//vc/zZgxQ5s2bbKuIWKxWGSxWBQfH2/nCvMHAggApEYAAYC07BVA7D4GJDsKFiyooUOHav369Tp58qTGjRunypUryzAM3Uc5CgAAAHho3VcBJKUKFSpo3LhxOn78uDZs2KChQ4fauyQAAAAAmbD7Suh5oXnz5mrevLm9ywAAAACQifv2DggAAACA+w8BBAAAAIBpCCAAAAAATEMAAQAAAGAaAggAAAAA0xBAAAAAAJiGAAIAAADANAQQAAAAAKYhgAAAAAAwDQEEAAAAgGkIIAAAAABMQwABAAAAYBoCCAAAAADTEEAAAAAAmIYAAgAAAMA0BBAAAAAApiGAAAAAADANAQQAAACAaQggAAAAAExDAAEAAABgGgIIAAAAANMQQAAAAACYhgACAAAAwDQEEAAAAACmIYAAAAAAMA0BBAAAAIBpCCAAAAAATEMAAQAAAGAaAggAAAAA0xBAAAAAAJiGAAIAAADANAQQAAAAAKYhgAAAAAAwDQEEAAAAgGkIIAAAAABMQwABAAAAYBoCCAAAAADTEEAAAAAAmIYAAgAAAMA0BBAAAAAApiGAAAAAADANAQQAAACAaQggAAAAAEzjZO8CANw7kdfCdfTIQQUfPqhjRw7p2JFDunE9UpLUvnN3jR77fo77jomJ1vP9e+nyxQuSpOIlSilw7rJs97Njy0aNfW2E9ff+g1/QM0OG22ybmJioQ/v2aMe2TTpyYJ/Onz2tmzeuy8WlgIoWL6FH6jVUlyf+oUpV/HJ2UQAeCtHzhmSp3fqDl9Tx7SVpXu/fpqqm/KtVlvoY+vU6/Rp03Oa+Fe930aO1S2apH7cnpmapXUozXmur3i0qWX+vNuwPnbsale1+gLxGAAEeYE91bXvP+g6c8q01fORUTPRtfTPxgyy3H9Crk66GXk7zenx8vM6ePqmzp09q6YI56tV3gJ578WVZLJZc1QcA96tOjcqmCh9AfkIAAR4SxYqXVNnyFbRr+5Zc93Ui+IjmzfpNLi4F5OTkpNu3b+Won+k/Tlbo5YvyKVRYkRHXMm0fHnZVklSqTDm1aP2YatWppyK+xRQbG6N9u3do7h+/KurmDc3+7Rc5ODpq8Av/ylFdAB4OPyw7rB+XH0l3/62YuEz76Dp+mS5F3E53/4WwzP9+3HX8qoZNWp9pu6zycHXSl0ObSZJCI6NV3Mctz/oG8gIBBHiA9Rv8vPxq1FK1GrVVqHARXb50QQN7dc5VnwkJCfry4/eUmJCgpwc/rxWL5ucogBw/eljz5/wuZxcXDXp+pL786N1Mj6lWo7b6D35eDZs0S3N3o3bdBmrTvrNeHvaMrkdGaM5v09Wp25MqWbpMtmsD8HC4ej1Gh89F5KqP4xev5/qxplux8bmuI6Xx/2ykcsW8tGbfBV0Iv6Vn2vJYKvIXBqEDD7ABQ15UQPNWKlS4SJ71OX/Wbzp+9LDKlKugPv0H56iPhIQEffnRu0khZsBzKlWmbJaO+/LHQDUKaJ7uo1WlypRVv8HP//854rV5/Zoc1QcA96sGlX01vHNNxdyJ16gfN9m7HMAmAgiALAu9dFGBU7+VJP3r9bFydnbOUT9z//erThw7qjLlyuc4xKSnboPG1u1LF0LytG8AyM8cHSya/GILOTo66NO5+3Xi4g17lwTYRAABkGWTPp2gmOhoPfZ411Qf9LPj8qULmvH/IWbk6Lfk4uKSlyUqLu7vZ7YdHPgrDsDDY1T3R1Svkq+OX7yuiX/utXc5QLoYAwIgS9b+tUzbt2yQp1dBDRv5Wo77+WbiB4qNiVHbDp1Vr1GTPKwwyYE9O63bZSswAwyA9D3ZrKJ6Na+o8sW8lJCYqNCIaG0NDtWMNce1/uClLPXx48hH5VfaW0W8XHUjOk6nLt3Qmv0XNGX5EV28lv7g9JT8Sntr/cfdVbW0t1ydHRV+I1a7T4Vp/pbTmrXhpOITjEz7KF/MU/95qr4kadQPm3QnPjFL5wbsgQACIFM3b9zQ919NlCQ9N3yUfAoVzlE/a1Yu1c6tm+Tp5aXn/zU6L0uUlLQ2ybz//SZJcnZxUbOWrfP8HAAeHDXLFUr1u5ebi6qU8lb/Nn5auPWMhn6zTjduZzwTVqtHSlm3fZ0d5VvQVf7VimlU90c05qetmrbyaKZ1lCjkrhKF3K2/l/Z1UmlfD3XzL6/Xnqirf05creCQyAz7+OaFFvJwddb/1p9Q0P6LmZ4TsCcCCIBMTZ38uSKuhatG7brq1KNXjvq4ceO6fvj/EPPsC/+STx4OjE827dsvdSU06VvLbk8+pSJFi+X5OQDc/27FxGnJjnMK2n9Rxy5EKio6Tr7ebmpZq4SGdKwh34Ku6h5QQT6eBdRl/FKbdyBOXb6hBVvPaFvwFYWEJc2CVbF4QfVsWkFPNK0otwJOmjS8hQzD0E9/BdusI9EwtGbfBa3YfV77T1/TtZsx8nJzVr3KvnquQ3XVKFtINcsV0vL3OuvR1xfofDpT+j7dqora1y+jyFuxev2nbXn3RgH3CAEEQIYO7NmlFYvny9HRSf96fWyOF/eb8s1nioy4puq1HlHnHr3zuEppzYolWjjnD0lSuQqVNOj5l/L8HAAeDJWf+13Xb99J8/qafRf03ZLDmv92R9Wv7KtHa5fUsMdr6tslh1K1W7jtjM3VzXedCNOcTafUqVFZ/fF6O7k4O+qTwQFasuOcQiOj07R/+qNVNuvYdCRUPyw7rG9fbKln2vqpRCF3TXyuqZ7+eFWatoW9CujjZ5MeZx33605duZ72PEB+wwhNk0yfPl2Ojo5ycsp55gsJCcnSD5BX7ty5oy8/fk+GYahnn3+qUpWczSW/b/cOrVyyQA6OjvrXmLF5Pjh83+4d+vzD8ZIkr4LeenvCZypQwDVPzwHgwWHrQ3+yK9ej9c+Jq3UnLkGSNLxzzTRtMnssa9nO85owa48kycPVWQPbVct2HfEJhoZP3mB99KpHQAWVKuyept1Hg5qomLebdhy7oikr0l9UEchPCCAmMgxDhpH5QLL0lC1bNks/QF75ffoUhZw7o6LFS2jAkOE56uPOnTv6+pP3JUk9e/dVZb/qeVmijh05pPGvj1LcnTtyc3fXfz+bpHIMPgeQC2dCb2r1vguSpCqlvFWyUNoP/pn56a+jSkxM+je/Za0SOaojIdHQ9NV/P77VslbJVPtbPVJSz7T1U3xCokZ+v0m5+IgBmIpHsACka/avP0uS6jdqoq0b19lsExMTbf3v2r+WSZJ8ChW2znC1ae1qhZw7KycnJ5WrWNnaJqWzZ05Zt8+cOmFtU73WIypRKv2VzM+cOqG3Xn1Rt2/fkrOLi8Z99KWq16qTgysFgNSOhkSqU6NykqRSRdx1KSJrM1olu3o9RuE3Y1TU202lCnvkuI4j5yOt26WKpA5Crz1RV5K0+0SY/Ep7y6+0d5rjKxT3sm53aVxOYTdiJEmzN55K0xYwCwHkPnL+/PkstYu/x3Xg4ZG8psbKJQu0csmCDNtej4zQh+PelCTVqd/IGkDi4pIeMYiPj9eXH72b6Tk3rl2ljWuTnnN+7a330g0gF0PO698vv6Ab1yPl6Oik/7z3ierfg2l9ATyc8uJuQl7ckMjoyYkCzo6SJP9qxRRYrW2mfX0+tJl1mwACeyKAZGLw4LxZpfnEiRO57qNMmfS/CU7pTHhMrs8F5GdXr4TqzVHDdC3sqhwcHDT67ffV7NE29i4LwAOkelkf6/alLK7nkZJvQVf5ernm+PhkNcr+PVVwbvoB8hMCSCZ++eWXHM/6A9zvVmzel2mbAU92UujliypeopQC56Z9vKpDlx7q0KVHhn3s271Dr780RJLUf/ALeiaD8SaR18L15r+GKfRS0jz3I8eMVdsOnTOtEwCyqnwxTz1Wt7Qk6eSl61leUDClwR2qy8Eh6fPDhkNZW9Twbo4OFg147O/JPzYeupxqf8e3l2Tax48jH9UzbZP6qDbsD527GpWjWoC8xCD0LEoeQJ6bHwC5E3Xzhv7zynCFnDsjSXp+1Bh1zuG6JAAeTp0blZOjQ/pfLBbzdtPvr7ezPt704/LUM0uVK+qpuhUzXseoU6Oy+k+fpFXJb8fGa8aaY2naPFq7pLzdXdLtw8nRou9GtLTeAVm8/axCwm2vAwLcb7gDkokiRYro2rVr6tixo77//vsc9zNnzhyNGTMmDysDMndw325dDPl77ND165HW7Ysh59KM68jsToU93blzR2+PHqmTx5NmhGnbobMaNGqiMyfTzsWfzNXNLcNB7AAePp8PbSpnx+aav+WMtgWH6uzVKEXHxqtIQVc9WruknutQXUW93SRJmw5f1vdLD6c6vnwxL638bxdtPRqqJTvO6cCZcF29nvToc8XiXnqiWUU90bSi9e7Hv3/ZZvMOSv82VTXnP+21ZPs5rT90SccuXNfN23fk6eas+pV9Nbh9detK7aGR0Ro9bcu9fFsAUxFAMtG4cWMtX75cR48eVfny5XPcj6+vbx5WBWTN8kXz9NfShTb3Hdq/V4f27031Wn4OINfCr+rwgb3W39esXKo1K5dmeEyd+o00cfK0e1wZgPtNqSIeerFrLb3YtVa6beZtPq3hkzfoTnyizf0B1YsroHrxdI+/FROn13/amu4q6JLk5eaip1tV0dOtqqTb5sCZaxrw2RqdvcKjU3hwEEAykRxAzp07p6tXr6po0aL2LgkAAOTQkK/XqWWtkmpSrZgqFvdSkYKuKujmoqiYOIWE3dLW4FD9FnRc24Kv2Dx+z8kwPftFkJpUK6YGlYuqRCE3FSnoKidHB0VExerI+QgF7b+oX1YFW++M2PLZvP3afzpcTaoVV/WyPvIt6KrCngUUG5+gK5HR2n0iTPO2nNaCbWet64kADwqLweCEDC1ZskTdunWTxWLRokWL1Llzzga7Tp8+Xc8++6wsFosSEhLyuMrUmAULAFKrMeRXe5cAAPlO9Lwhdjkvd0Ay4e/vLylpEPqOHTtyHECqVKmigQMH5mVpAAAAwH2HAJKJokWLKjHR9vOf2dG8eXM1b948DyoCAAAA7l9MwwsAAADANAQQAAAAAKYhgAAAAAAwDQEEAAAAgGkIIAAAAABMQwABAAAAYBoCCAAAAADTEEAAAAAAmIYAAgAAAMA0BBAAAAAApiGAAAAAADANAQQAAACAaQggAAAAAExDAAEAAABgGgIIAAAAANMQQAAAAACYhgACAAAAwDQEEAAAAACmIYAAAAAAMA0BBAAAAIBpCCAAAAAATEMAAQAAAGAaAggAAAAA0xBAAAAAAJiGAAIAAADANAQQAAAAAKYhgAAAAAAwDQEEAAAAgGkIIAAAAABMQwABAAAAYBoCCAAAAADTEEAAAAAAmIYAAgAAAMA0BBAAAAAApiGAAAAAADANAQQAAACAaQggAAAAAExDAAEAAABgGgIIAAAAANMQQAAAAACYhgACAAAAwDQEEAAAAACmIYAAAAAAMA0BBAAAAIBpCCAAAAAATEMAAQAAAGAaAggAAAAA0xBAAAAAAJiGAAIAAADANAQQAAAAAKYhgAAAAAAwDQEEAAAAgGkIIAAAAABMQwABAAAAYBoCCAAAAADTEEAAAAAAmIYAAgAAAMA0BBAAAAAApiGAAAAAADANAQQAAACAaQggAAAAAExDAAEAAABgGgIIAAAAANMQQAAAAACYhgACAAAAwDQEEAAAAACmIYAAAAAAMA0BBAAAAIBpCCAAAAAATEMAAQAAAGAaAggAAAAA0xBAAAAAAJiGAAIAAADANAQQAAAAAKYhgAAAAAAwDQEEAAAAgGkIIAAAAABMQwABAAAAYBoCCAAAAADTEEAAAAAAmIYAAgAAAMA0BBAAAAAApiGAAAAAADANAQQAAACAaQggAAAAAExDAAEAAABgGgIIAAAAANMQQAAAAACYhgACAAAAwDQEEAAAAACmIYAAAAAAMI3FMAzD3kUAeLCEhISobNmykqTz58+rTJkydq4IAOyPvxuBJNwBAQAAAGAaAggAAAAA0xBAAAAAAJiGAAIAAADANAQQAAAAAKYhgAAAAAAwDQEEAAAAgGkIIAAAAABMQwABAAAAYBpWQgcAAABgGu6AAAAAADANAQQAAACAaQggAAAAAExDAAEAAABgGgIIAAAAANMQQAAAAACYhgACAAAAwDQEEAAAAACmIYAAAAAAMA0BBAAAAIBpCCAA8tTZs2f12muvqXr16vLw8FDhwoXVuHFjTZw4Ubdv37Z3eQBgmitXrmjx4sV655131KlTJ/n6+spischisWjQoEH2Lg+wG4thGIa9iwDwYFi0aJH69++vGzdu2Nzv5+enJUuWqEqVKiZXBgDms1gs6e4bOHCgfvnlF/OKAfIR7oAAyBN79uzRU089pRs3bsjT01MffPCBNm/erNWrV2vo0KGSpGPHjqlLly66efOmnasFAHOVK1dOHTp0sHcZQL7gZO8CADwYRo0apejoaDk5OWnlypVq2rSpdV/btm1VtWpVvf766zp27Jg+++wzjR8/3n7FAoAJ3nnnHTVu3FiNGzdW8eLFdebMGVWsWNHeZQF2xyNYAHJt+/btatKkiSTp+eef1/fff5+mTWJiomrXrq0jR47Ix8dHV65ckbOzs9mlAoDdpAwgPIKFhxmPYAHItfnz51u3n332WZttHBwcNGDAAElSZGSkgoKCzCgNAADkMwQQALm2ceNGSZKHh4caNmyYbrtWrVpZtzdt2nTP6wIAAPkPAQRArh05ckSSVKVKFTk5pT+0rHr16mmOAQAADxcCCIBciYmJUVhYmCSpTJkyGbYtVKiQPDw8JEnnz5+/57UBAID8hwACIFdSTqnr6emZafvkABIVFXXPagIAAPkXAQRArsTExFi3XVxcMm1foEABSVJ0dPQ9qwkAAORfBBAAueLq6mrdvnPnTqbtY2NjJUlubm73rCYAAJB/EUAA5IqXl5d1OyuPVd26dUtS1h7XAgAADx4CCIBccXV1VZEiRSRJISEhGbaNiIiwBpCyZcve89oAAED+QwABkGs1a9aUJJ04cULx8fHptjt69Kh1u0aNGve8LgAAkP8QQADkWosWLSQlPV61a9eudNutW7fOut28efN7XhcAAMh/CCAAcq1nz57W7Z9//tlmm8TERAUGBkqSfHx81KZNGzNKAwAA+QwBBECu+fv7q2XLlpKkadOmacuWLWnafPbZZ9bVz0eNGiVnZ2dTawQAAPmDxTAMw95FALj/7dmzR82bN1d0dLQ8PT31n//8R23atFF0dLT++OMP/fjjj5IkPz8/7dy5M9XsWQDwINq4caNOnDhh/T0sLExjxoyRlPQY6pAhQ1K1HzRokJnlAXZDAAGQZxYtWqT+/fvrxo0bNvf7+flpyZIlqlKlismVAYD5Bg0apOnTp2e5PR/J8LDgESwAeaZbt27av3+/XnnlFfn5+cnd3V0+Pj5q1KiRPv74Y+3Zs4fwAQDAQ447IAAAAABMwx0QAAAAAKYhgAAAAAAwDQEEAAAAgGkIIAAAAABMQwABAAAAYBoCCAAAAADTEEAAAAAAmIYAAgAAAMA0BBAAAAAApiGAAAAAADANAQQAAACAaQggAAAAAExDAAEAAABgGgIIAAAAANMQQAAAAACYhgACAAAAwDQEEADAfW3t2rWyWCyyWCxau3Ztmv2DBg2SxWJRhQoVTK/NXlq3bi2LxaLWrVvbuxQASIMAAgAPkZQf1u/+cXd3V/ny5dWzZ0/NnDlT8fHx9i4XAPAAIoAAACRJ0dHROnfunBYsWKB+/fqpWbNmunz5sr3LytcexrsrAJBbBBAAeEgNHz5cBw4csP5s2bJF33zzjfXD9I4dO9SjRw8ZhmHfQnPpl19+kWEYOnPmjL1LAQBIcrJ3AQAA+yhWrJhq166d6rWAgAD169dP/v7+OnHihLZv367FixerW7dudqoSAPCg4Q4IACCVQoUK6d///rf19+XLl9uxGgDAg4YAAgBIw9/f37p99uxZSWlnm0pMTNRPP/2kNm3aqHjx4nJwcNCgQYPS9LV792698MILqlatmjw9PeXh4aFq1app+PDhOnbsWKa1REdHa8KECapbt648PDxUpEgRNW/eXFOmTFFiYmKmx2d1nMbNmzf12WefqW3btipRooRcXFxUsGBB1a9fXyNHjtSmTZusbcePHy+LxaLp06db3yNbA/ttiYmJ0aRJk/TYY49Zz1OsWDG1a9dO06ZNy9Lg/61bt+of//iHSpQoIVdXV1WsWFHDhg1TcHBwpscCgL3xCBYAIA1nZ2frdkJCQpr9MTEx6tixo1atWpVuH4mJiRo9erS+/PLLNONIjh07pmPHjmnq1KmaPHmyhg0bZrOPy5cvq23btjpy5Ij1tdu3b2vz5s3avHmz/vzzT7366qvZvbw0Vq1apb59+yosLCzV63Fxcdq7d6/27t2rSZMm5Xo8zL59+9SjRw9rqEt29epVrV69WqtXr9YPP/ygRYsWqXjx4jb7+OKLLzR69OhU4evMmTOaMmWKZs6cqVmzZuWqRgC41wggAIA0Dhw4YN0uVapUmv1vvPGG9u/fr+7du2vQoEEqX768QkNDdePGDWubkSNH6ttvv5UkPfrooxo0aJAqVaokd3d37du3T19++aUOHTqk559/XiVKlFD37t1TnSM+Pl5du3a1ho8OHTpo+PDhKlu2rM6dO6dvv/1WK1as0LVr13J1rUFBQerUqZPi4+Pl6OioZ555Rj169FC5cuUUExOjw4cPa9myZVq0aJH1mBdffFG9e/fW2LFjtWDBApUqVUorVqzI8DwnTpxQq1atdP36dRUsWFAjRoyQv7+/ypYtq/DwcC1cuFA//PCDdfD/hg0bUgVBSZo3b541cHl7e+uNN96wrvWxZs0affLJJ+rXr5+KFi2aq/cEAO4pAwDw0AgKCjIkGZKMcePG2WwTFxdnBAQEWNsFBgamOVaSMXbs2HTPs3LlSmu7qVOn2mwTHR1ttG3b1pBklC9f3oiLi0u1f9KkSdY+hg0bZrOPwYMHp6opKCgoTZuBAwdaz2GrhlKlShmSDHd3d5vHJzt37ly2+r5bs2bNDElG/fr1jatXr9pss2zZMsPBwcGQZPz444+p9sXGxlpr9fb2Ng4fPpzm+AMHDhgFCxa0vh+tWrXKtC4AMBtjQAAAkqRbt25p3bp1at++vbZu3SpJKl++vPr06ZOmrZ+fn8aPH59uXx999JEkqVevXnruuedstnF1ddWkSZMkJY2hCAoKSrU/+e5J8eLF9cUXX9js46uvvsrVt/2BgYG6ePGiJGnChAkZrhxetmzZHJ9nw4YN2rx5syRp+vTp8vX1tdnu8ccfV+/evSUlTR+c0oIFC6y1vv3226pRo0aa42vXrq233norx3UCgBkIIADwkHr33XdTDZj29PRU69attXbtWklJ0/TOnz9fBQoUSHPsU089JUdHR5v93rhxw9pH8ofp9NSoUcP6YXzLli3W1y9duqTDhw9Lkvr06SN3d3ebx3t6etoMSFm1ePFiSZKHh4eGDh2a434ys3DhQklStWrV9Mgjj2TY9tFHH5WUtA5LygHpyeNtLBaLBg4cmO7xzz77bLoD4AEgPyCAAABSqVixosaMGaMDBw6oXr16NtvUqVMn3eP37NljHSDdt29fm7NDpfxJHvidctX1lGNQGjdunGG9KWfsyq49e/ZIkho2bJhuyMkLO3fulCQFBwdn+n689NJLkpIGwKcc35L8nlSsWDHdOyiSVLRoUVZmB5CvMQgdAB5Sw4cP14svvigp6Vt1V1dX+fr6ytvbO9NjCxUqlO6+K1eu5Kie27dvW7dTfvAuVqxYhselN1tUViSHn5IlS+a4j6zIy/cks/dDSnpPTp8+naNzAsC9RgABgIeUrZXQsyq9x6+k1NP2/vDDD2rWrFmW+kwv1DwIjxMlvyd169bVr7/+muXjSpcunea1B+H9APBwI4AAAPJUkSJFrNvu7u45Cjkpw0hoaGiGbTPbnxFfX1+FhITo0qVLOe4jK5Lfk6ioqByHvuT3JCvXm5v3BADuNcaAAADyVL169azf0qdcPTw7Ug7U3rFjR4ZtM9ufkQYNGkhKGqOR8nGnrMrq3Yj69etLkk6dOpVqrEt2JL8np0+fVnh4eLrtrl69qjNnzuToHABgBgIIACBPFS1aVAEBAZKkmTNn6urVq9nuo1SpUtZpZmfPnq3o6Gib7W7dupWrlb+7desmKWmsxY8//pjt411dXSVJsbGxGbZLXmTRMAx99dVX2T6PJLVr187aR2BgYLrtfvnll1yv2A4A9xIBBACQ58aOHSspaUre3r17KzIyMt22sbGxmjx5smJiYlK9Pnz4cElJs2O99tprNo995ZVXcjzAW5L69+9vHWfx1ltvad26dem2DQkJSfNa8uD1K1eu6ObNm+ke26FDB+tsXRMnTsw0NB04cCDVyuuS1LNnT+v53n//fQUHB6c57vDhw/rggw8y7BsA7I0AAgDIc507d9aoUaMkSevXr1eNGjX07rvvavXq1dq7d682bdqk6dOna8iQISpZsqReeumlVGteSEkBJPnRpe+++06dOnXSggULtHv3bi1YsEAdO3bUlClT1KhRoxzX6erqqhkzZsjJyUm3b99Wu3btNHjwYC1cuFC7d+/Wli1b9PPPP+sf//iHKleunOb45AH2iYmJeuGFF7R161adOHHC+pPSzJkzVbhwYSUkJOipp55S9+7d9dtvv2n79u3atWuXli1bpgkTJqhp06aqU6dOmjDk4uKib775RpIUERGhgIAAffTRR9q6dau2bNmiDz/80FpPlSpVcvyeAMA9Z+eV2AEAJgoKCjIkGZKMcePG5fjYoKCgTNsnJiYa7777ruHk5GQ9Lr0fDw8P4/bt22n6uHDhglGtWrV0j+vQoYOxYsWKDOsaOHCgIckoX758urUuX77cKFSoUKZ13i0hIcEICAjIcvvg4GCjdu3amZ5HkvHuu+/arHXixImGxWKxeYy7u7uxePFio1WrVoYko1WrVuleMwDYC3dAAAD3hMVi0TvvvKNjx47p9ddfV6NGjVS4cGE5OjrKy8tLNWvWVL9+/TR9+nRdunRJbm5uafooVaqU9uzZo//+97+qXbu23Nzc5OPjo4CAAH377bdatmyZXFxccl1rx44dderUKU2YMEHNmjVTkSJF5OjoqIIFC6pBgwZ6+eWXtX379jTHOTg4aOXKlRo7dqzq1q0rT0/PDAem+/n5ae/evZo5c6Z69eqlcuXKyc3NTS4uLipZsqRat26tsWPHateuXXrnnXds9jF69Ght3LhRTz75pIoVK6YCBQqofPnyGjx4sHbu3KkuXbrk+v0AgHvJYhiMVAMAAABgDu6AAAAAADANAQQAAACAaQggAAAAAExDAAEAAABgGgIIAAAAANMQQAAAAACYhgACAAAAwDQEEAAAAACmIYAAAAAAMA0BBAAAAIBpCCAAAAAATEMAAQAAAGAaAggAAAAA0xBAAAAAAJiGAAIAAADANAQQAAAAAKYhgAAAAAAwDQEEAAAAgGkIIAAAAABMQwABAAAAYBoCCAAAAADTEEAAAAAAmIYAAgAAAMA0BBAAAAAApiGAAAAAADANAQQAAACAaQggAAAAAExDAAEAAABgGgIIAAAAANMQQAAAAACYhgACAAAAwDQEEAAAAACmIYAAAAAAMA0BBAAAAIBpCCAAAAAATPN/OgOp0iesIB4AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Subgroup fairness metrics (gender, age_group, hypertension) for Ensemble @0.5\n",
        "# Saves: /content/models/fairness_subgroups.csv and displays head\n",
        "\n",
        "!pip -q install scikit-learn joblib pandas numpy\n",
        "\n",
        "import os, joblib, numpy as np, pandas as pd\n",
        "from pathlib import Path\n",
        "from sklearn.metrics import precision_score, recall_score, f1_score, roc_auc_score\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
        "from sklearn.compose import ColumnTransformer\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.impute import SimpleImputer\n",
        "\n",
        "BASE = Path(\"/content\")\n",
        "MODELS_DIR = BASE / \"models\"\n",
        "DATA_PATH = BASE / \"cardio_train_extended.csv\"\n",
        "OUT_CSV = MODELS_DIR / \"fairness_subgroups.csv\"\n",
        "\n",
        "# Load and derive subgroup columns\n",
        "df = pd.read_csv(DATA_PATH)\n",
        "\n",
        "if \"age\" in df.columns and \"age_years\" not in df.columns:\n",
        "    df[\"age_years\"] = (df[\"age\"] / 365).astype(int)\n",
        "if \"Hypertension_Flag\" not in df.columns and {\"ap_hi\",\"ap_lo\"}.issubset(df.columns):\n",
        "    df[\"Hypertension_Flag\"] = ((df[\"ap_hi\"] >= 140) | (df[\"ap_lo\"] >= 90)).astype(int)\n",
        "if \"Age_Group\" not in df.columns and \"age_years\" in df.columns:\n",
        "    bins = [0,29,39,49,59,200]; labels = ['<30','30-39','40-49','50-59','60+']\n",
        "    df[\"Age_Group\"] = pd.cut(df[\"age_years\"], bins=bins, labels=labels, right=True, include_lowest=True)\n",
        "\n",
        "drop_cols = [c for c in [\"id\",\"age\",\"Reason\"] if c in df.columns]\n",
        "X = df.drop(columns=drop_cols + [\"cardio\"])\n",
        "y = df[\"cardio\"].astype(int)\n",
        "\n",
        "# Preprocess and split\n",
        "num_cols = [c for c in X.columns if X[c].dtype!=\"object\" and not str(X[c].dtype).startswith(\"category\")]\n",
        "cat_cols = [c for c in X.columns if c not in num_cols]\n",
        "\n",
        "preprocessor = ColumnTransformer([\n",
        "    (\"num\", Pipeline([(\"imputer\", SimpleImputer(strategy=\"median\")), (\"scaler\", StandardScaler())]), num_cols),\n",
        "    (\"cat\", Pipeline([(\"imputer\", SimpleImputer(strategy=\"most_frequent\")),\n",
        "                      (\"onehot\", OneHotEncoder(handle_unknown=\"ignore\", sparse_output=False))]), cat_cols),\n",
        "], remainder=\"drop\")\n",
        "\n",
        "Xtr_raw, Xte_raw, ytr, yte = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)\n",
        "_ = preprocessor.fit_transform(Xtr_raw)\n",
        "Xte = preprocessor.transform(Xte_raw)\n",
        "\n",
        "# Load tuned or fallback models and get ensemble proba\n",
        "def load_m(n):\n",
        "    p = MODELS_DIR / n\n",
        "    return joblib.load(p) if p.exists() else None\n",
        "\n",
        "xgb = load_m(\"XGBoost_best_5cv.joblib\") or load_m(\"XGB_spw.joblib\")\n",
        "cat = load_m(\"CatBoost_best_5cv.joblib\") or load_m(\"CAT_cw.joblib\")\n",
        "if xgb is None or cat is None:\n",
        "    raise RuntimeError(\"Need XGBoost and CatBoost models saved in /content/models/\")\n",
        "\n",
        "ens_prob = 0.5 * xgb.predict_proba(Xte)[:, 1] + 0.5 * cat.predict_proba(Xte)[:, 1]\n",
        "pred05 = (ens_prob >= 0.5).astype(int)\n",
        "\n",
        "# Align predictions with yte index as Series for easy subgroup slicing\n",
        "pred05_s = pd.Series(pred05, index=yte.index)\n",
        "ens_prob_s = pd.Series(ens_prob, index=yte.index)\n",
        "\n",
        "# Build subgroup frame for test indices\n",
        "sub_df = df.loc[Xte_raw.index, [\"gender\",\"Age_Group\",\"Hypertension_Flag\"]].copy()\n",
        "if \"gender\" in sub_df.columns:\n",
        "    sub_df[\"gender_label\"] = sub_df[\"gender\"].map({1:\"Male\", 2:\"Female\"}).fillna(sub_df[\"gender\"].astype(str))\n",
        "else:\n",
        "    sub_df[\"gender_label\"] = \"NA\"\n",
        "if \"Age_Group\" not in sub_df.columns:\n",
        "    sub_df[\"Age_Group\"] = \"NA\"\n",
        "if \"Hypertension_Flag\" not in sub_df.columns:\n",
        "    sub_df[\"Hypertension_Flag\"] = -1\n",
        "\n",
        "rows = []\n",
        "def add_group(metric_name, series):\n",
        "    aligned = series.loc[yte.index]\n",
        "    for g, idx in aligned.groupby(aligned).groups.items():\n",
        "        idx = list(idx)\n",
        "        if len(idx) == 0:\n",
        "            rows.append({\"group\": metric_name, \"value\": str(g), \"count\": 0,\n",
        "                         \"precision\": np.nan, \"recall\": np.nan, \"f1\": np.nan, \"roc_auc\": np.nan})\n",
        "            continue\n",
        "        y_g = yte.loc[idx]\n",
        "        p_g = pred05_s.loc[idx].values\n",
        "        pr_g = ens_prob_s.loc[idx].values\n",
        "        rows.append({\n",
        "            \"group\": metric_name,\n",
        "            \"value\": str(g),\n",
        "            \"count\": int(len(idx)),\n",
        "            \"precision\": precision_score(y_g, p_g, zero_division=0),\n",
        "            \"recall\": recall_score(y_g, p_g, zero_division=0),\n",
        "            \"f1\": f1_score(y_g, p_g, zero_division=0),\n",
        "            \"roc_auc\": roc_auc_score(y_g, pr_g) if len(np.unique(y_g)) > 1 else np.nan\n",
        "        })\n",
        "\n",
        "add_group(\"gender\", sub_df[\"gender_label\"])\n",
        "add_group(\"age_group\", sub_df[\"Age_Group\"].astype(str))\n",
        "add_group(\"hypertension\", sub_df[\"Hypertension_Flag\"].astype(int))\n",
        "\n",
        "fair_df = pd.DataFrame(rows).sort_values([\"group\",\"value\"])\n",
        "fair_df.to_csv(OUT_CSV, index=False)\n",
        "print(\"Saved subgroup metrics to:\", OUT_CSV)\n",
        "display(fair_df.head(20))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 345
        },
        "id": "3qhY5m9htSLb",
        "outputId": "b8fa0fec-1f27-4986-a0ea-a508326b90eb"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saved subgroup metrics to: /content/models/fairness_subgroups.csv\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "          group   value  count  precision    recall        f1   roc_auc\n",
              "2     age_group   20-29      2   0.000000  0.000000  0.000000       NaN\n",
              "3     age_group   30-39    376   0.878378  0.670103  0.760234  0.933895\n",
              "4     age_group   40-49   3956   0.880092  0.742542  0.805487  0.922660\n",
              "5     age_group   50-59   7021   0.867075  0.787921  0.825605  0.912806\n",
              "6     age_group     60+   2645   0.886870  0.857710  0.872046  0.906777\n",
              "0        gender  Female   4920   0.877802  0.790265  0.831737  0.920810\n",
              "1        gender    Male   9080   0.873741  0.795928  0.833021  0.919656\n",
              "7  hypertension       0   9064   0.820707  0.721764  0.768062  0.902256\n",
              "8  hypertension       1   4936   0.917459  0.853018  0.884066  0.886982"
            ],
            "text/html": [
              "\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>group</th>\n",
              "      <th>value</th>\n",
              "      <th>count</th>\n",
              "      <th>precision</th>\n",
              "      <th>recall</th>\n",
              "      <th>f1</th>\n",
              "      <th>roc_auc</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>age_group</td>\n",
              "      <td>20-29</td>\n",
              "      <td>2</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>age_group</td>\n",
              "      <td>30-39</td>\n",
              "      <td>376</td>\n",
              "      <td>0.878378</td>\n",
              "      <td>0.670103</td>\n",
              "      <td>0.760234</td>\n",
              "      <td>0.933895</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>age_group</td>\n",
              "      <td>40-49</td>\n",
              "      <td>3956</td>\n",
              "      <td>0.880092</td>\n",
              "      <td>0.742542</td>\n",
              "      <td>0.805487</td>\n",
              "      <td>0.922660</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>age_group</td>\n",
              "      <td>50-59</td>\n",
              "      <td>7021</td>\n",
              "      <td>0.867075</td>\n",
              "      <td>0.787921</td>\n",
              "      <td>0.825605</td>\n",
              "      <td>0.912806</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>age_group</td>\n",
              "      <td>60+</td>\n",
              "      <td>2645</td>\n",
              "      <td>0.886870</td>\n",
              "      <td>0.857710</td>\n",
              "      <td>0.872046</td>\n",
              "      <td>0.906777</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>gender</td>\n",
              "      <td>Female</td>\n",
              "      <td>4920</td>\n",
              "      <td>0.877802</td>\n",
              "      <td>0.790265</td>\n",
              "      <td>0.831737</td>\n",
              "      <td>0.920810</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>gender</td>\n",
              "      <td>Male</td>\n",
              "      <td>9080</td>\n",
              "      <td>0.873741</td>\n",
              "      <td>0.795928</td>\n",
              "      <td>0.833021</td>\n",
              "      <td>0.919656</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>hypertension</td>\n",
              "      <td>0</td>\n",
              "      <td>9064</td>\n",
              "      <td>0.820707</td>\n",
              "      <td>0.721764</td>\n",
              "      <td>0.768062</td>\n",
              "      <td>0.902256</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>hypertension</td>\n",
              "      <td>1</td>\n",
              "      <td>4936</td>\n",
              "      <td>0.917459</td>\n",
              "      <td>0.853018</td>\n",
              "      <td>0.884066</td>\n",
              "      <td>0.886982</td>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"display(fair_df\",\n  \"rows\": 9,\n  \"fields\": [\n    {\n      \"column\": \"group\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"age_group\",\n          \"gender\",\n          \"hypertension\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"value\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 9,\n        \"samples\": [\n          \"0\",\n          \"30-39\",\n          \"Female\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3340,\n        \"min\": 2,\n        \"max\": 9080,\n        \"num_unique_values\": 9,\n        \"samples\": [\n          9064,\n          376,\n          4920\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"precision\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.29282446011185337,\n        \"min\": 0.0,\n        \"max\": 0.9174594292109681,\n        \"num_unique_values\": 9,\n        \"samples\": [\n          0.8207070707070707,\n          0.8783783783783784,\n          0.8778021978021978\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"recall\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.2659463247015393,\n        \"min\": 0.0,\n        \"max\": 0.8577097505668935,\n        \"num_unique_values\": 9,\n        \"samples\": [\n          0.7217639593908629,\n          0.6701030927835051,\n          0.7902651365255243\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"f1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.2772559407294991,\n        \"min\": 0.0,\n        \"max\": 0.8840657859261256,\n        \"num_unique_values\": 9,\n        \"samples\": [\n          0.7680621201890614,\n          0.7602339181286549,\n          0.8317367763431903\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"roc_auc\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.014471394516055737,\n        \"min\": 0.8869817097574642,\n        \"max\": 0.9338949857739348,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.9226603997218991,\n          0.9196556300350777,\n          0.9338949857739348\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e8c50d2d",
        "outputId": "9023d039-b611-460b-dbf7-ae05386bb8a3"
      },
      "source": [
        "import os\n",
        "\n",
        "image_files_to_check = [\n",
        "    \"roc_overlay_weighted.png\",\n",
        "    \"confusion_matrix_weighted.png\",\n",
        "    \"shap_summary_cat.png\",\n",
        "    \"hybrid_zone_counts.png\",\n",
        "    \"hybrid_zone_positive_rate.png\",\n",
        "    \"calibration_curve_ensemble.png\"\n",
        "]\n",
        "\n",
        "artifact_files_to_check = [\n",
        "    \"LogisticRegression.joblib\",\n",
        "    \"RandomForest.joblib\",\n",
        "    \"XGBoost.joblib\",\n",
        "    \"CatBoost.joblib\",\n",
        "    \"LightGBM.joblib\",\n",
        "    \"preprocessor.joblib\",\n",
        "    \"model_metrics_summary.csv\",\n",
        "    \"ensemble_predictions_weighted.csv\",\n",
        "    \"ensemble_weights.pkl\",\n",
        "    \"processed_feature_names.txt\",\n",
        "    \"pr_auc_table.csv\", # Added based on recent cells\n",
        "    \"model_metrics_best.csv\", # Added based on recent cells\n",
        "    \"hybrid_metrics_best.csv\", # Added based on recent cells\n",
        "    \"metrics_class_weights.csv\", # Added based on recent cells\n",
        "    \"hybrid_metrics_optionA.csv\", # Added based on recent cells\n",
        "    \"hybrid_metrics.csv\", # Added based on recent cells\n",
        "    \"fairness_subgroups.csv\" # Added based on recent cells\n",
        "]\n",
        "\n",
        "\n",
        "results_dir = \"/content/model_results\"\n",
        "reports_dir = \"/content/reports\"\n",
        "models_dir = \"/content/models\"\n",
        "\n",
        "all_present = True\n",
        "present_files = []\n",
        "missing_files = []\n",
        "\n",
        "# Check image files (can be in results or reports)\n",
        "for filename in image_files_to_check:\n",
        "    filepath_results = os.path.join(results_dir, filename)\n",
        "    filepath_reports = os.path.join(reports_dir, filename)\n",
        "    if os.path.exists(filepath_results) or os.path.exists(filepath_reports):\n",
        "        present_files.append(filename)\n",
        "    else:\n",
        "        missing_files.append(filename)\n",
        "        all_present = False\n",
        "\n",
        "# Check artifact files (can be in results or models)\n",
        "for filename in artifact_files_to_check:\n",
        "    filepath_results = os.path.join(results_dir, filename)\n",
        "    filepath_models = os.path.join(models_dir, filename)\n",
        "    if os.path.exists(filepath_results) or os.path.exists(filepath_models):\n",
        "        present_files.append(filename)\n",
        "    else:\n",
        "        missing_files.append(filename)\n",
        "        all_present = False\n",
        "\n",
        "\n",
        "if all_present:\n",
        "    print(\"Yes, all the listed images and artifacts are present in the results or models/reports directories.\")\n",
        "else:\n",
        "    print(\"Some images/artifacts are present, but some are missing:\")\n",
        "    if present_files:\n",
        "        print(\"Present:\")\n",
        "        for f in present_files:\n",
        "            print(f\"- {f}\")\n",
        "    if missing_files:\n",
        "        print(\"Missing:\")\n",
        "        for f in missing_files:\n",
        "            print(f\"- {f}\")"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Some images/artifacts are present, but some are missing:\n",
            "Present:\n",
            "- pr_auc_table.csv\n",
            "- model_metrics_best.csv\n",
            "- hybrid_metrics_best.csv\n",
            "- metrics_class_weights.csv\n",
            "- hybrid_metrics_optionA.csv\n",
            "- hybrid_metrics.csv\n",
            "- fairness_subgroups.csv\n",
            "Missing:\n",
            "- roc_overlay_weighted.png\n",
            "- confusion_matrix_weighted.png\n",
            "- shap_summary_cat.png\n",
            "- hybrid_zone_counts.png\n",
            "- hybrid_zone_positive_rate.png\n",
            "- calibration_curve_ensemble.png\n",
            "- LogisticRegression.joblib\n",
            "- RandomForest.joblib\n",
            "- XGBoost.joblib\n",
            "- CatBoost.joblib\n",
            "- LightGBM.joblib\n",
            "- preprocessor.joblib\n",
            "- model_metrics_summary.csv\n",
            "- ensemble_predictions_weighted.csv\n",
            "- ensemble_weights.pkl\n",
            "- processed_feature_names.txt\n"
          ]
        }
      ]
    }
  ]
}