diff --git "a/hyrox_assignment_(1).ipynb" "b/hyrox_assignment_(1).ipynb"
deleted file mode 100644--- "a/hyrox_assignment_(1).ipynb"
+++ /dev/null
@@ -1,3175 +0,0 @@
-{
-  "cells": [
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "aDoaPHuNveZF"
-      },
-      "source": [
-        "# Assignment 2 — Classification, Regression, Clustering\n",
-        "\n",
-        "Predicting Hyrox race finish times from ~92k athlete results (Kaggle: `jgug05/hyrox-results`).\n",
-        "\n",
-        "Hyrox is a hybrid race: 8 × 1km runs alternating with 8 strength stations (SkiErg, Sled Push, Sled Pull, Burpee Broad Jumps, Rowing, Farmer's Carry, Sandbag Lunges, Wall Balls).\n",
-        "\n",
-        "The dataset has split times for every run and every station, plus an aggregate `total_time`. Since `total_time = run_time + work_time + roxzone_time` (the splits sum to the total), feeding raw splits into a regressor would be a leak. Splits are used only for clustering — the cluster ID is then a feature for the supervised models.\n"
-      ],
-      "id": "aDoaPHuNveZF"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "got6oF9PveZH"
-      },
-      "source": [
-        "## Setup"
-      ],
-      "id": "got6oF9PveZH"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 1,
-      "metadata": {
-        "id": "sdJBHmGtveZI"
-      },
-      "outputs": [],
-      "source": [
-        "import os, random, pickle\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\n",
-        "from sklearn.linear_model import LinearRegression, LogisticRegression\n",
-        "from sklearn.ensemble import (RandomForestRegressor, GradientBoostingRegressor,\n",
-        "                              RandomForestClassifier, GradientBoostingClassifier)\n",
-        "from sklearn.cluster import KMeans\n",
-        "from sklearn.decomposition import PCA\n",
-        "from sklearn.preprocessing import StandardScaler\n",
-        "from sklearn.metrics import (mean_absolute_error, mean_squared_error, r2_score,\n",
-        "                             classification_report, confusion_matrix, ConfusionMatrixDisplay)\n",
-        "\n",
-        "%matplotlib inline\n",
-        "sns.set_style('whitegrid')\n",
-        "\n",
-        "import warnings\n",
-        "warnings.filterwarnings('ignore')\n"
-      ],
-      "id": "sdJBHmGtveZI"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 2,
-      "metadata": {
-        "id": "VsVgS38UveZI"
-      },
-      "outputs": [],
-      "source": [
-        "SEED = 42\n",
-        "random.seed(SEED)\n",
-        "np.random.seed(SEED)\n",
-        "os.environ['PYTHONHASHSEED'] = str(SEED)\n",
-        "\n",
-        "PLOTS_DIR = 'plots'\n",
-        "os.makedirs(PLOTS_DIR, exist_ok=True)\n"
-      ],
-      "id": "VsVgS38UveZI"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "FwX-VSuiveZI"
-      },
-      "source": [
-        "## Part 1 — Load dataset"
-      ],
-      "id": "FwX-VSuiveZI"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 3,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 406
-        },
-        "id": "4FXJtJHqveZI",
-        "outputId": "9b690243-2cd8-4699-c7c5-38e42d59ae8e"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Downloading to /root/.cache/kagglehub/datasets/jgug05/hyrox-results/2.archive...\n"
-          ]
-        },
-        {
-          "output_type": "stream",
-          "name": "stderr",
-          "text": [
-            "100%|██████████| 5.00M/5.00M [00:00<00:00, 104MB/s]"
-          ]
-        },
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Extracting files...\n"
-          ]
-        },
-        {
-          "output_type": "stream",
-          "name": "stderr",
-          "text": [
-            "\n"
-          ]
-        },
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "(92374, 34)\n"
-          ]
-        },
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "      event_id       event_name gender nationality age_group division  \\\n",
-              "0  JGDMS4JI5C9  S6 2023 München   male         GER     40-44     open   \n",
-              "1  JGDMS4JI5C9  S6 2023 München   male         AUT     25-29     open   \n",
-              "2  JGDMS4JI5C9  S6 2023 München   male         CZE     30-34     open   \n",
-              "3  JGDMS4JI5C9  S6 2023 München   male         GER     30-34     open   \n",
-              "4  JGDMS4JI5C9  S6 2023 München   male         GER     30-34     open   \n",
-              "\n",
-              "  total_time work_time roxzone_time run_time  ... roxzone_5    run_6   work_6  \\\n",
-              "0    0:59:07   0:25:31      0:03:26  0:30:10  ...   0:00:28  0:03:50  0:01:15   \n",
-              "1    0:59:27   0:25:06      0:02:57  0:31:24  ...   0:00:19  0:03:54  0:01:21   \n",
-              "2    1:00:22   0:26:04      0:03:13  0:31:05  ...   0:00:20  0:03:53  0:01:31   \n",
-              "3    1:03:13   0:27:29      0:03:14  0:32:30  ...   0:00:23  0:04:07  0:01:42   \n",
-              "4    1:04:00   0:29:01      0:03:22  0:31:37  ...   0:00:23  0:03:57  0:02:00   \n",
-              "\n",
-              "  roxzone_6    run_7   work_7 roxzone_7    run_8   work_8 roxzone_8  \n",
-              "0   0:00:40  0:03:47  0:03:05   0:00:35  0:04:10  0:04:07   0:00:00  \n",
-              "1   0:00:36  0:03:59  0:03:24   0:00:30  0:04:42  0:04:12   0:00:00  \n",
-              "2   0:00:39  0:03:55  0:03:16   0:00:35  0:04:20  0:04:37   0:00:00  \n",
-              "3   0:00:43  0:04:11  0:03:37   0:00:33  0:04:39  0:04:37   0:00:00  \n",
-              "4   0:00:45  0:03:57  0:03:54   0:00:32  0:04:24  0:05:35   0:00:00  \n",
-              "\n",
-              "[5 rows x 34 columns]"
-            ],
-            "text/html": [
-              "\n",
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-              "    <div>\n",
-              "<style scoped>\n",
-              "    .dataframe tbody tr th:only-of-type {\n",
-              "        vertical-align: middle;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe tbody tr th {\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>event_id</th>\n",
-              "      <th>event_name</th>\n",
-              "      <th>gender</th>\n",
-              "      <th>nationality</th>\n",
-              "      <th>age_group</th>\n",
-              "      <th>division</th>\n",
-              "      <th>total_time</th>\n",
-              "      <th>work_time</th>\n",
-              "      <th>roxzone_time</th>\n",
-              "      <th>run_time</th>\n",
-              "      <th>...</th>\n",
-              "      <th>roxzone_5</th>\n",
-              "      <th>run_6</th>\n",
-              "      <th>work_6</th>\n",
-              "      <th>roxzone_6</th>\n",
-              "      <th>run_7</th>\n",
-              "      <th>work_7</th>\n",
-              "      <th>roxzone_7</th>\n",
-              "      <th>run_8</th>\n",
-              "      <th>work_8</th>\n",
-              "      <th>roxzone_8</th>\n",
-              "    </tr>\n",
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-              "      <td>S6 2023 München</td>\n",
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-              "      <td>GER</td>\n",
-              "      <td>40-44</td>\n",
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-              "      <td>0:59:07</td>\n",
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-              "      <td>0:30:10</td>\n",
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-              "      <td>0:00:00</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1</th>\n",
-              "      <td>JGDMS4JI5C9</td>\n",
-              "      <td>S6 2023 München</td>\n",
-              "      <td>male</td>\n",
-              "      <td>AUT</td>\n",
-              "      <td>25-29</td>\n",
-              "      <td>open</td>\n",
-              "      <td>0:59:27</td>\n",
-              "      <td>0:25:06</td>\n",
-              "      <td>0:02:57</td>\n",
-              "      <td>0:31:24</td>\n",
-              "      <td>...</td>\n",
-              "      <td>0:00:19</td>\n",
-              "      <td>0:03:54</td>\n",
-              "      <td>0:01:21</td>\n",
-              "      <td>0:00:36</td>\n",
-              "      <td>0:03:59</td>\n",
-              "      <td>0:03:24</td>\n",
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-              "      <td>0:04:42</td>\n",
-              "      <td>0:04:12</td>\n",
-              "      <td>0:00:00</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2</th>\n",
-              "      <td>JGDMS4JI5C9</td>\n",
-              "      <td>S6 2023 München</td>\n",
-              "      <td>male</td>\n",
-              "      <td>CZE</td>\n",
-              "      <td>30-34</td>\n",
-              "      <td>open</td>\n",
-              "      <td>1:00:22</td>\n",
-              "      <td>0:26:04</td>\n",
-              "      <td>0:03:13</td>\n",
-              "      <td>0:31:05</td>\n",
-              "      <td>...</td>\n",
-              "      <td>0:00:20</td>\n",
-              "      <td>0:03:53</td>\n",
-              "      <td>0:01:31</td>\n",
-              "      <td>0:00:39</td>\n",
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-              "      <td>0:00:35</td>\n",
-              "      <td>0:04:20</td>\n",
-              "      <td>0:04:37</td>\n",
-              "      <td>0:00:00</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>3</th>\n",
-              "      <td>JGDMS4JI5C9</td>\n",
-              "      <td>S6 2023 München</td>\n",
-              "      <td>male</td>\n",
-              "      <td>GER</td>\n",
-              "      <td>30-34</td>\n",
-              "      <td>open</td>\n",
-              "      <td>1:03:13</td>\n",
-              "      <td>0:27:29</td>\n",
-              "      <td>0:03:14</td>\n",
-              "      <td>0:32:30</td>\n",
-              "      <td>...</td>\n",
-              "      <td>0:00:23</td>\n",
-              "      <td>0:04:07</td>\n",
-              "      <td>0:01:42</td>\n",
-              "      <td>0:00:43</td>\n",
-              "      <td>0:04:11</td>\n",
-              "      <td>0:03:37</td>\n",
-              "      <td>0:00:33</td>\n",
-              "      <td>0:04:39</td>\n",
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-              "      <td>0:00:00</td>\n",
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-              "    <tr>\n",
-              "      <th>4</th>\n",
-              "      <td>JGDMS4JI5C9</td>\n",
-              "      <td>S6 2023 München</td>\n",
-              "      <td>male</td>\n",
-              "      <td>GER</td>\n",
-              "      <td>30-34</td>\n",
-              "      <td>open</td>\n",
-              "      <td>1:04:00</td>\n",
-              "      <td>0:29:01</td>\n",
-              "      <td>0:03:22</td>\n",
-              "      <td>0:31:37</td>\n",
-              "      <td>...</td>\n",
-              "      <td>0:00:23</td>\n",
-              "      <td>0:03:57</td>\n",
-              "      <td>0:02:00</td>\n",
-              "      <td>0:00:45</td>\n",
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-              "      <td>0:00:00</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
-              "</table>\n",
-              "<p>5 rows × 34 columns</p>\n",
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-              "    .colab-df-container {\n",
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-              "      gap: 12px;\n",
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-              "\n",
-              "    .colab-df-convert {\n",
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-              "  </style>\n",
-              "\n",
-              "    <script>\n",
-              "      const buttonEl =\n",
-              "        document.querySelector('#df-979ed96b-6a04-4bd7-9d18-f6a7b86b47f1 button.colab-df-convert');\n",
-              "      buttonEl.style.display =\n",
-              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
-              "\n",
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-              "          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",
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-              "        element.appendChild(docLink);\n",
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-              "\n",
-              "\n",
-              "    </div>\n",
-              "  </div>\n"
-            ],
-            "application/vnd.google.colaboratory.intrinsic+json": {
-              "type": "dataframe",
-              "variable_name": "df"
-            }
-          },
-          "metadata": {},
-          "execution_count": 3
-        }
-      ],
-      "source": [
-        "import kagglehub\n",
-        "\n",
-        "path = kagglehub.dataset_download(\"jgug05/hyrox-results\")\n",
-        "df = pd.read_csv(os.path.join(path, \"hyrox_results.csv\"))\n",
-        "\n",
-        "print(df.shape)\n",
-        "df.head()\n"
-      ],
-      "id": "4FXJtJHqveZI"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "bXSKrFY9veZJ"
-      },
-      "source": [
-        "## Part 2 — EDA"
-      ],
-      "id": "bXSKrFY9veZJ"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "F6K13SSGveZJ"
-      },
-      "source": [
-        "### Initial inspection"
-      ],
-      "id": "F6K13SSGveZJ"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 4,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "FnCqszsDveZJ",
-        "outputId": "9f1bd96b-e95b-486b-b0e8-b1e94df6f891"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "event_id        object\n",
-            "event_name      object\n",
-            "gender          object\n",
-            "nationality     object\n",
-            "age_group       object\n",
-            "division        object\n",
-            "total_time      object\n",
-            "work_time       object\n",
-            "roxzone_time    object\n",
-            "run_time        object\n",
-            "run_1           object\n",
-            "work_1          object\n",
-            "roxzone_1       object\n",
-            "run_2           object\n",
-            "work_2          object\n",
-            "roxzone_2       object\n",
-            "run_3           object\n",
-            "work_3          object\n",
-            "roxzone_3       object\n",
-            "run_4           object\n",
-            "work_4          object\n",
-            "roxzone_4       object\n",
-            "run_5           object\n",
-            "work_5          object\n",
-            "roxzone_5       object\n",
-            "run_6           object\n",
-            "work_6          object\n",
-            "roxzone_6       object\n",
-            "run_7           object\n",
-            "work_7          object\n",
-            "roxzone_7       object\n",
-            "run_8           object\n",
-            "work_8          object\n",
-            "roxzone_8       object\n",
-            "dtype: object\n",
-            "\n",
-            "Missing values:\n",
-            "nationality     31051\n",
-            "age_group         781\n",
-            "event_name          0\n",
-            "event_id            0\n",
-            "gender              0\n",
-            "division            0\n",
-            "total_time          0\n",
-            "work_time           0\n",
-            "roxzone_time        0\n",
-            "run_time            0\n",
-            "dtype: int64\n",
-            "\n",
-            "gender: 2 unique\n",
-            "division: 7 unique\n",
-            "age_group: 29 unique\n",
-            "nationality: 123 unique\n",
-            "event_name: 89 unique\n"
-          ]
-        }
-      ],
-      "source": [
-        "print(df.dtypes, end='\\n\\n')\n",
-        "print('Missing values:')\n",
-        "print(df.isnull().sum().sort_values(ascending=False).head(10), end='\\n\\n')\n",
-        "\n",
-        "for col in ['gender', 'division', 'age_group', 'nationality', 'event_name']:\n",
-        "    print(f\"{col}: {df[col].nunique()} unique\")\n"
-      ],
-      "id": "FnCqszsDveZJ"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "he2vjRwrveZJ"
-      },
-      "source": [
-        "### Convert times to seconds\n",
-        "\n",
-        "Times are stored as strings like `0:59:07`. Converting to seconds in new `_sec` columns and keeping the originals for display."
-      ],
-      "id": "he2vjRwrveZJ"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 5,
-      "metadata": {
-        "id": "v6hVDrtdveZJ"
-      },
-      "outputs": [],
-      "source": [
-        "def time_to_seconds(t):\n",
-        "    if pd.isna(t):\n",
-        "        return np.nan\n",
-        "    try:\n",
-        "        parts = [int(p) for p in str(t).split(':')]\n",
-        "        if len(parts) == 3:\n",
-        "            return parts[0] * 3600 + parts[1] * 60 + parts[2]\n",
-        "        if len(parts) == 2:\n",
-        "            return parts[0] * 60 + parts[1]\n",
-        "    except (ValueError, TypeError):\n",
-        "        pass\n",
-        "    return np.nan\n",
-        "\n",
-        "aggregate_cols = ['total_time', 'work_time', 'roxzone_time', 'run_time']\n",
-        "split_cols = []\n",
-        "for i in range(1, 9):\n",
-        "    split_cols.extend([f'run_{i}', f'work_{i}', f'roxzone_{i}'])\n",
-        "\n",
-        "for col in aggregate_cols + split_cols:\n",
-        "    df[col + '_sec'] = df[col].apply(time_to_seconds)\n"
-      ],
-      "id": "v6hVDrtdveZJ"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "7z1E1EjXveZJ"
-      },
-      "source": [
-        "### Missing values\n",
-        "\n",
-        "`nationality` is missing in ~34% of rows so I fill those with `Unknown` (dropping that many rows would be too costly). `age_group` is missing in <1% — drop those."
-      ],
-      "id": "7z1E1EjXveZJ"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 6,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "xYVuHOm2veZJ",
-        "outputId": "c7157ce5-9aa8-4c4f-9bc9-2e9f0a01c334"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "92374 -> 91593 rows\n"
-          ]
-        }
-      ],
-      "source": [
-        "before = len(df)\n",
-        "df = df.dropna(subset=['age_group']).reset_index(drop=True)\n",
-        "df['nationality'] = df['nationality'].fillna('Unknown')\n",
-        "df = df.dropna(subset=['total_time_sec']).reset_index(drop=True)\n",
-        "print(f\"{before} -> {len(df)} rows\")\n"
-      ],
-      "id": "xYVuHOm2veZJ"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "idUbNp64veZJ"
-      },
-      "source": [
-        "### Outlier removal\n",
-        "\n",
-        "Hyrox finish times realistically fall between 50 minutes (elite) and 2.5 hours (recreational). Anything outside is almost certainly a timing error or DNF. Using a domain bound of 45–180 minutes — more interpretable than pure IQR for this race format."
-      ],
-      "id": "idUbNp64veZJ"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 7,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "fbAQB-bVveZJ",
-        "outputId": "28d2b586-d28a-4f2a-e9e6-8cfbb06ac10c"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "min=0.0, median=84.9, max=240.8 (minutes)\n",
-            "After outlier filter: 91593 -> 91508 rows\n"
-          ]
-        }
-      ],
-      "source": [
-        "print(f\"min={df['total_time_sec'].min()/60:.1f}, \"\n",
-        "      f\"median={df['total_time_sec'].median()/60:.1f}, \"\n",
-        "      f\"max={df['total_time_sec'].max()/60:.1f} (minutes)\")\n",
-        "\n",
-        "before = len(df)\n",
-        "df = df[(df['total_time_sec'] >= 45 * 60) & (df['total_time_sec'] <= 180 * 60)].reset_index(drop=True)\n",
-        "print(f\"After outlier filter: {before} -> {len(df)} rows\")\n"
-      ],
-      "id": "fbAQB-bVveZJ"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "vFLYZPxnveZK"
-      },
-      "source": [
-        "### Total time distribution"
-      ],
-      "id": "vFLYZPxnveZK"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 8,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 507
-        },
-        "id": "89wpH713veZK",
-        "outputId": "35790825-4cbf-455d-e62d-8a1f97e603c9"
-      },
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 1200x500 with 1 Axes>"
-            ],
-            "image/png": 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-          },
-          "metadata": {}
-        }
-      ],
-      "source": [
-        "plt.figure(figsize=(12, 5))\n",
-        "plt.hist(df['total_time_sec'] / 60, bins=80, color='steelblue', edgecolor='black')\n",
-        "plt.axvline(df['total_time_sec'].median() / 60, color='red', linestyle='--',\n",
-        "            label=f\"Median: {df['total_time_sec'].median()/60:.1f} min\")\n",
-        "plt.axvline(df['total_time_sec'].mean() / 60, color='orange', linestyle='--',\n",
-        "            label=f\"Mean: {df['total_time_sec'].mean()/60:.1f} min\")\n",
-        "plt.xlabel('Total time (minutes)')\n",
-        "plt.ylabel('Count')\n",
-        "plt.title('Hyrox finish time distribution')\n",
-        "plt.legend()\n",
-        "plt.tight_layout()\n",
-        "plt.savefig(f'{PLOTS_DIR}/total_time_distribution.png', dpi=120, bbox_inches='tight')\n",
-        "plt.show()\n"
-      ],
-      "id": "89wpH713veZK"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "Fm_f6hlFveZK"
-      },
-      "source": [
-        "### Gender comparison"
-      ],
-      "id": "Fm_f6hlFveZK"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 9,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 632
-        },
-        "id": "0oPSrtPfveZK",
-        "outputId": "ee8b6c4f-4767-4b9f-9907-6780d0a95743"
-      },
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 1000x500 with 1 Axes>"
-            ],
-            "image/png": 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\n"
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-              "             mean     median        std\n",
-              "gender                                 \n",
-              "female  90.561667  87.833333  15.673333\n",
-              "male    85.690000  83.041667  16.856667"
-            ],
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-              "      <td>90.561667</td>\n",
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-              "      <td>15.673333</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
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-              "      <td>85.690000</td>\n",
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-              "    [theme=dark] .colab-df-convert:hover {\n",
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-              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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-              "  </style>\n",
-              "\n",
-              "    <script>\n",
-              "      const buttonEl =\n",
-              "        document.querySelector('#df-c4f09a7a-6a78-46d6-a01f-fdd7c750ad06 button.colab-df-convert');\n",
-              "      buttonEl.style.display =\n",
-              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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-              "        const element = document.querySelector('#df-c4f09a7a-6a78-46d6-a01f-fdd7c750ad06');\n",
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-              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
-              "                                                    [key], {});\n",
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-              "\n",
-              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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-              "type": "dataframe",
-              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 2,\n  \"fields\": [\n    {\n      \"column\": \"gender\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"male\",\n          \"female\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mean\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.444788535680466,\n        \"min\": 85.69,\n        \"max\": 90.56166666666667,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          85.69,\n          90.56166666666667\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"median\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.3882199931855337,\n        \"min\": 83.04166666666667,\n        \"max\": 87.83333333333333,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          83.04166666666667,\n          87.83333333333333\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"std\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.8367430244040802,\n        \"min\": 15.673333333333334,\n        \"max\": 16.856666666666666,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          16.856666666666666,\n          15.673333333333334\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
-            }
-          },
-          "metadata": {},
-          "execution_count": 9
-        }
-      ],
-      "source": [
-        "plt.figure(figsize=(10, 5))\n",
-        "sns.boxplot(data=df, x='gender', y=df['total_time_sec'] / 60, palette='Set2')\n",
-        "plt.ylabel('Total time (minutes)')\n",
-        "plt.title('Total time by gender')\n",
-        "plt.tight_layout()\n",
-        "plt.savefig(f'{PLOTS_DIR}/gender_boxplot.png', dpi=120, bbox_inches='tight')\n",
-        "plt.show()\n",
-        "\n",
-        "df.groupby('gender')['total_time_sec'].agg(['mean', 'median', 'std']).round(1) / 60\n"
-      ],
-      "id": "0oPSrtPfveZK"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "fToa2XN0veZK"
-      },
-      "source": [
-        "### Performance by age group"
-      ],
-      "id": "fToa2XN0veZK"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 10,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 466
-        },
-        "id": "lxdRuGB4veZK",
-        "outputId": "7fa8b840-1b5a-4717-f489-25ce99bc0613"
-      },
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 1400x500 with 1 Axes>"
-            ],
-            "image/png": 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-          },
-          "metadata": {}
-        }
-      ],
-      "source": [
-        "age_order = sorted(df['age_group'].unique())\n",
-        "\n",
-        "plt.figure(figsize=(14, 5))\n",
-        "sns.boxplot(data=df, x='age_group', y=df['total_time_sec'] / 60,\n",
-        "            order=age_order, palette='viridis')\n",
-        "plt.xticks(rotation=45)\n",
-        "plt.ylabel('Total time (minutes)')\n",
-        "plt.title('Total time by age group')\n",
-        "plt.tight_layout()\n",
-        "plt.show()\n"
-      ],
-      "id": "lxdRuGB4veZK"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "WgPu82AWveZK"
-      },
-      "source": [
-        "### Variability by station"
-      ],
-      "id": "WgPu82AWveZK"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 11,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 728
-        },
-        "id": "MPy8OeNKveZK",
-        "outputId": "507ef12a-7d50-46db-a415-aa3dcf7e4c58"
-      },
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 1400x600 with 1 Axes>"
-            ],
-            "image/png": 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\n"
-          },
-          "metadata": {}
-        },
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Coefficient of variation by station:\n",
-            "Sled Push             0.439\n",
-            "Burpee Broad Jumps    0.431\n",
-            "Wall Balls            0.427\n",
-            "Sled Pull             0.391\n",
-            "Sandbag Lunges        0.356\n",
-            "Farmer's Carry        0.285\n",
-            "Rowing                0.124\n",
-            "SkiErg                0.121\n",
-            "dtype: float64\n"
-          ]
-        }
-      ],
-      "source": [
-        "station_names = {\n",
-        "    'work_1': 'SkiErg',           'work_2': 'Sled Push',\n",
-        "    'work_3': 'Sled Pull',        'work_4': 'Burpee Broad Jumps',\n",
-        "    'work_5': 'Rowing',           'work_6': \"Farmer's Carry\",\n",
-        "    'work_7': 'Sandbag Lunges',   'work_8': 'Wall Balls',\n",
-        "}\n",
-        "work_cols = [f'work_{i}_sec' for i in range(1, 9)]\n",
-        "work_data = df[work_cols].copy()\n",
-        "work_data.columns = [station_names[c.replace('_sec', '')] for c in work_cols]\n",
-        "\n",
-        "plt.figure(figsize=(14, 6))\n",
-        "sns.boxplot(data=work_data / 60, palette='coolwarm')\n",
-        "plt.xticks(rotation=30)\n",
-        "plt.ylabel('Time (minutes)')\n",
-        "plt.title('Time per station')\n",
-        "plt.tight_layout()\n",
-        "plt.show()\n",
-        "\n",
-        "cv = (work_data.std() / work_data.mean()).sort_values(ascending=False)\n",
-        "print('Coefficient of variation by station:')\n",
-        "print(cv.round(3))\n"
-      ],
-      "id": "MPy8OeNKveZK"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "gStsPvJTveZK"
-      },
-      "source": [
-        "### Fatigue across the 8 runs\n",
-        "\n",
-        "Animated to show the trend building up live."
-      ],
-      "id": "gStsPvJTveZK"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 12,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 754
-        },
-        "id": "mp5BSb-vveZK",
-        "outputId": "54ba4182-e529-49dd-ac7d-24da41a2ee45"
-      },
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/gif": 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\n",
-            "text/plain": [
-              "<IPython.core.display.Image object>"
-            ]
-          },
-          "metadata": {}
-        },
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Saved: plots/fatigue_animation.gif\n",
-            "Mean run times (minutes):\n",
-            "run_1_sec    4.76\n",
-            "run_2_sec    5.32\n",
-            "run_3_sec    5.78\n",
-            "run_4_sec    5.79\n",
-            "run_5_sec    5.95\n",
-            "run_6_sec    5.82\n",
-            "run_7_sec    5.80\n",
-            "run_8_sec    6.60\n",
-            "dtype: float64\n"
-          ]
-        }
-      ],
-      "source": [
-        "from matplotlib.animation import FuncAnimation, PillowWriter\n",
-        "\n",
-        "run_cols = [f'run_{i}_sec' for i in range(1, 9)]\n",
-        "run_means = df[run_cols].mean() / 60\n",
-        "run_stds = df[run_cols].std() / 60\n",
-        "\n",
-        "fig, ax = plt.subplots(figsize=(10, 5.5))\n",
-        "\n",
-        "y_lo = (run_means - run_stds).min() - 0.2\n",
-        "y_hi = (run_means + run_stds).max() + 0.2\n",
-        "ax.set_xlim(0.5, 8.5)\n",
-        "ax.set_ylim(y_lo, y_hi)\n",
-        "ax.set_xticks(range(1, 9))\n",
-        "ax.set_xlabel('Run number')\n",
-        "ax.set_ylabel('Average time (minutes)')\n",
-        "ax.set_title('Fatigue across the 8 runs')\n",
-        "ax.grid(alpha=0.3)\n",
-        "\n",
-        "line, = ax.plot([], [], marker='o', linewidth=2.5, color='darkred', markersize=9)\n",
-        "errorbars = []\n",
-        "caption = ax.text(0.02, 0.95, '', transform=ax.transAxes, fontsize=11, fontweight='bold',\n",
-        "                  verticalalignment='top',\n",
-        "                  bbox=dict(facecolor='white', edgecolor='gray', alpha=0.85, pad=6))\n",
-        "\n",
-        "def update(frame):\n",
-        "    xs = list(range(1, frame + 1))\n",
-        "    ys = run_means.values[:frame]\n",
-        "    line.set_data(xs, ys)\n",
-        "\n",
-        "    while errorbars:\n",
-        "        try:\n",
-        "            errorbars.pop().remove()\n",
-        "        except Exception:\n",
-        "            pass\n",
-        "    eb = ax.errorbar(xs, ys, yerr=run_stds.values[:frame],\n",
-        "                     fmt='none', ecolor='darkred', alpha=0.5, capsize=5)\n",
-        "    errorbars.append(eb)\n",
-        "\n",
-        "    latest = run_means.values[frame - 1]\n",
-        "    delta = latest - run_means.values[0]\n",
-        "    sign = '+' if delta >= 0 else ''\n",
-        "    caption.set_text(f'Run {frame}/8\\n{latest:.2f} min\\nvs run 1: {sign}{delta:.2f} min')\n",
-        "    return [line, caption, eb]\n",
-        "\n",
-        "anim = FuncAnimation(fig, update, frames=range(1, 9), interval=700, blit=False, repeat=True)\n",
-        "gif_path = f'{PLOTS_DIR}/fatigue_animation.gif'\n",
-        "anim.save(gif_path, writer=PillowWriter(fps=2))\n",
-        "plt.close(fig)\n",
-        "\n",
-        "from IPython.display import Image, display\n",
-        "display(Image(filename=gif_path))\n",
-        "print(f'Saved: {gif_path}')\n",
-        "print('Mean run times (minutes):')\n",
-        "print(run_means.round(2))\n"
-      ],
-      "id": "mp5BSb-vveZK"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "6gJfCkpJveZL"
-      },
-      "source": [
-        "### Correlations"
-      ],
-      "id": "6gJfCkpJveZL"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 13,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 1000
-        },
-        "id": "NLzO0AubveZL",
-        "outputId": "f043fe0b-6d19-4ef7-b340-c701c70d0c26"
-      },
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 1400x1100 with 2 Axes>"
-            ],
-            "image/png": 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\n"
-          },
-          "metadata": {}
-        }
-      ],
-      "source": [
-        "corr_cols = ['total_time_sec', 'run_time_sec', 'work_time_sec', 'roxzone_time_sec'] + run_cols + work_cols\n",
-        "plt.figure(figsize=(14, 11))\n",
-        "sns.heatmap(df[corr_cols].corr(), annot=False, cmap='coolwarm', center=0,\n",
-        "            square=True, cbar_kws={'shrink': 0.7})\n",
-        "plt.title('Correlations between time components')\n",
-        "plt.tight_layout()\n",
-        "plt.show()\n"
-      ],
-      "id": "NLzO0AubveZL"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "0aHMyHjUveZL"
-      },
-      "source": [
-        "## Part 3 — Baseline regression\n",
-        "\n",
-        "Linear Regression on demographics only (gender, age_group, division). Sets the floor."
-      ],
-      "id": "0aHMyHjUveZL"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 14,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "4JFb57ubveZL",
-        "outputId": "6d9d7d25-7df9-40b7-9e6c-085a45b865aa"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Train: 73206, Test: 18302\n"
-          ]
-        }
-      ],
-      "source": [
-        "baseline_features = ['gender', 'age_group', 'division']\n",
-        "X_base = pd.get_dummies(df[baseline_features], drop_first=True)\n",
-        "y = df['total_time_sec']\n",
-        "\n",
-        "X_train, X_test, y_train, y_test = train_test_split(X_base, y, test_size=0.2, random_state=SEED)\n",
-        "print(f\"Train: {X_train.shape[0]}, Test: {X_test.shape[0]}\")\n"
-      ],
-      "id": "4JFb57ubveZL"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 15,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "_zSXwOQ4veZL",
-        "outputId": "2f63c850-aa1a-478b-b3d9-a18d14a71a71"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "MAE:  11.58 min\n",
-            "RMSE: 15.14 min\n",
-            "R²:   0.1599\n"
-          ]
-        }
-      ],
-      "source": [
-        "baseline_model = LinearRegression()\n",
-        "baseline_model.fit(X_train, y_train)\n",
-        "y_pred_base = baseline_model.predict(X_test)\n",
-        "\n",
-        "mae = mean_absolute_error(y_test, y_pred_base)\n",
-        "rmse = np.sqrt(mean_squared_error(y_test, y_pred_base))\n",
-        "r2 = r2_score(y_test, y_pred_base)\n",
-        "\n",
-        "print(f\"MAE:  {mae/60:.2f} min\")\n",
-        "print(f\"RMSE: {rmse/60:.2f} min\")\n",
-        "print(f\"R²:   {r2:.4f}\")\n",
-        "\n",
-        "results = {'Baseline LR (demographics)': {'MAE': mae, 'RMSE': rmse, 'R2': r2}}\n"
-      ],
-      "id": "_zSXwOQ4veZL"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 16,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 466
-        },
-        "id": "hUDPFlPLveZL",
-        "outputId": "1a0cf10b-4952-4a67-d3df-e2c0294e7cd1"
-      },
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 1400x500 with 2 Axes>"
-            ],
-            "image/png": "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-          },
-          "metadata": {}
-        }
-      ],
-      "source": [
-        "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n",
-        "\n",
-        "axes[0].scatter(y_test / 60, y_pred_base / 60, alpha=0.2, s=10)\n",
-        "axes[0].plot([y_test.min()/60, y_test.max()/60],\n",
-        "             [y_test.min()/60, y_test.max()/60], 'r--', label='perfect')\n",
-        "axes[0].set_xlabel('Actual (min)')\n",
-        "axes[0].set_ylabel('Predicted (min)')\n",
-        "axes[0].set_title('Predicted vs actual')\n",
-        "axes[0].legend()\n",
-        "\n",
-        "residuals = (y_test - y_pred_base) / 60\n",
-        "axes[1].hist(residuals, bins=60, edgecolor='black', color='salmon')\n",
-        "axes[1].axvline(0, color='red', linestyle='--')\n",
-        "axes[1].set_xlabel('Residual (min)')\n",
-        "axes[1].set_ylabel('Count')\n",
-        "axes[1].set_title('Residual distribution')\n",
-        "\n",
-        "plt.tight_layout()\n",
-        "plt.show()\n"
-      ],
-      "id": "hUDPFlPLveZL"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 17,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 1000
-        },
-        "id": "lvKgSZu0veZL",
-        "outputId": "838a5d14-b1f1-480b-f06a-620950b19f1f"
-      },
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 1000x800 with 1 Axes>"
-            ],
-            "image/png": 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-              "            feature    minutes\n",
-              "18  age_group_80-84  43.262378\n",
-              "16  age_group_70-74  35.196905\n",
-              "25   age_group_W60+  26.374380\n",
-              "15  age_group_65-69  20.712700\n",
-              "29   division_elite -17.184119\n",
-              "13  age_group_60-64  14.495498\n",
-              "1   age_group_16-29 -10.826799\n",
-              "12  age_group_55-59  10.500873\n",
-              "4   age_group_30-39 -10.182378\n",
-              "14  age_group_60-69   9.493045\n",
-              "24   age_group_W40+   9.476495\n",
-              "34   division_relay  -8.914587\n",
-              "10  age_group_50-54   7.100124\n",
-              "8   age_group_40-49  -6.837716\n",
-              "0       gender_male  -6.519331"
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-              "        document.querySelector('#df-daa1bbd6-64f8-4073-a6b5-bb0020864fc2 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-daa1bbd6-64f8-4073-a6b5-bb0020864fc2');\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",
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-              "\n",
-              "\n",
-              "    </div>\n",
-              "  </div>\n"
-            ],
-            "application/vnd.google.colaboratory.intrinsic+json": {
-              "type": "dataframe",
-              "variable_name": "coef_df",
-              "summary": "{\n  \"name\": \"coef_df\",\n  \"rows\": 35,\n  \"fields\": [\n    {\n      \"column\": \"feature\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 35,\n        \"samples\": [\n          \"age_group_40-44\",\n          \"age_group_40-49\",\n          \"age_group_M60+\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"minutes\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 12.544682691158402,\n        \"min\": -17.184119280340433,\n        \"max\": 43.262378205870036,\n        \"num_unique_values\": 35,\n        \"samples\": [\n          1.6325154170511746,\n          -6.837715674355905,\n          -1.8604554947880796\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
-            }
-          },
-          "metadata": {},
-          "execution_count": 17
-        }
-      ],
-      "source": [
-        "coef_df = pd.DataFrame({\n",
-        "    'feature': X_base.columns,\n",
-        "    'minutes': baseline_model.coef_ / 60,\n",
-        "}).sort_values('minutes', key=abs, ascending=False)\n",
-        "\n",
-        "plt.figure(figsize=(10, 8))\n",
-        "sns.barplot(data=coef_df, y='feature', x='minutes', palette='coolwarm')\n",
-        "plt.title('Baseline coefficients (effect on total time, minutes)')\n",
-        "plt.xlabel('Coefficient (minutes)')\n",
-        "plt.tight_layout()\n",
-        "plt.show()\n",
-        "\n",
-        "coef_df.head(15)\n"
-      ],
-      "id": "lvKgSZu0veZL"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "eoem9eG1veZL"
-      },
-      "source": [
-        "## Part 4 — Feature engineering and clustering\n",
-        "\n",
-        "Five engineered features: numeric age (midpoint of bin), is_male, year (from event name), region (continent grouping), event_size."
-      ],
-      "id": "eoem9eG1veZL"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 18,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 204
-        },
-        "id": "cfiHKzEqveZL",
-        "outputId": "a0f72608-bff5-4146-b201-6c2510b9fdc7"
-      },
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "  gender  is_male age_group  age_numeric  region    year  event_size\n",
-              "0   male        1     40-44         42.0  Europe  2023.0        1153\n",
-              "1   male        1     25-29         27.0  Europe  2023.0        1153\n",
-              "2   male        1     30-34         32.0  Europe  2023.0        1153\n",
-              "3   male        1     30-34         32.0  Europe  2023.0        1153\n",
-              "4   male        1     30-34         32.0  Europe  2023.0        1153"
-            ],
-            "text/html": [
-              "\n",
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-              "    <div>\n",
-              "<style scoped>\n",
-              "    .dataframe tbody tr th:only-of-type {\n",
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-              "\n",
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-              "  <thead>\n",
-              "    <tr style=\"text-align: right;\">\n",
-              "      <th></th>\n",
-              "      <th>gender</th>\n",
-              "      <th>is_male</th>\n",
-              "      <th>age_group</th>\n",
-              "      <th>age_numeric</th>\n",
-              "      <th>region</th>\n",
-              "      <th>year</th>\n",
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-              "      <th>0</th>\n",
-              "      <td>male</td>\n",
-              "      <td>1</td>\n",
-              "      <td>40-44</td>\n",
-              "      <td>42.0</td>\n",
-              "      <td>Europe</td>\n",
-              "      <td>2023.0</td>\n",
-              "      <td>1153</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1</th>\n",
-              "      <td>male</td>\n",
-              "      <td>1</td>\n",
-              "      <td>25-29</td>\n",
-              "      <td>27.0</td>\n",
-              "      <td>Europe</td>\n",
-              "      <td>2023.0</td>\n",
-              "      <td>1153</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2</th>\n",
-              "      <td>male</td>\n",
-              "      <td>1</td>\n",
-              "      <td>30-34</td>\n",
-              "      <td>32.0</td>\n",
-              "      <td>Europe</td>\n",
-              "      <td>2023.0</td>\n",
-              "      <td>1153</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>3</th>\n",
-              "      <td>male</td>\n",
-              "      <td>1</td>\n",
-              "      <td>30-34</td>\n",
-              "      <td>32.0</td>\n",
-              "      <td>Europe</td>\n",
-              "      <td>2023.0</td>\n",
-              "      <td>1153</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>4</th>\n",
-              "      <td>male</td>\n",
-              "      <td>1</td>\n",
-              "      <td>30-34</td>\n",
-              "      <td>32.0</td>\n",
-              "      <td>Europe</td>\n",
-              "      <td>2023.0</td>\n",
-              "      <td>1153</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
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-              "  </svg>\n",
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-              "\n",
-              "  <style>\n",
-              "    .colab-df-container {\n",
-              "      display:flex;\n",
-              "      gap: 12px;\n",
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-              "\n",
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-              "      margin-bottom: 4px;\n",
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-              "      fill: #FFFFFF;\n",
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-              "  </style>\n",
-              "\n",
-              "    <script>\n",
-              "      const buttonEl =\n",
-              "        document.querySelector('#df-90edfa16-4d20-4e56-bca6-15575ff24170 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-90edfa16-4d20-4e56-bca6-15575ff24170');\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",
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-              "\n",
-              "\n",
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-              "  </div>\n"
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-            "application/vnd.google.colaboratory.intrinsic+json": {
-              "type": "dataframe",
-              "summary": "{\n  \"name\": \"df[['gender', 'is_male', 'age_group', 'age_numeric', 'region', 'year', 'event_size']]\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"gender\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"male\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"is_male\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 1,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"age_group\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"40-44\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"age_numeric\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5.477225575051661,\n        \"min\": 27.0,\n        \"max\": 42.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          42.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"region\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Europe\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"year\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 2023.0,\n        \"max\": 2023.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          2023.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"event_size\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1153,\n        \"max\": 1153,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          1153\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
-            }
-          },
-          "metadata": {},
-          "execution_count": 18
-        }
-      ],
-      "source": [
-        "df['year'] = df['event_name'].str.extract(r'(\\d{4})').astype(float)\n",
-        "df['year'] = df['year'].fillna(df['year'].median())\n",
-        "\n",
-        "def age_midpoint(s):\n",
-        "    try:\n",
-        "        parts = str(s).replace('+', '').split('-')\n",
-        "        if len(parts) == 2:\n",
-        "            return (int(parts[0]) + int(parts[1])) / 2\n",
-        "        if len(parts) == 1:\n",
-        "            return float(parts[0])\n",
-        "    except Exception:\n",
-        "        return np.nan\n",
-        "    return np.nan\n",
-        "\n",
-        "df['age_numeric'] = df['age_group'].apply(age_midpoint)\n",
-        "df['age_numeric'] = df['age_numeric'].fillna(df['age_numeric'].median())\n",
-        "df['is_male'] = (df['gender'] == 'male').astype(int)\n",
-        "\n",
-        "EUROPE = {'GER','AUT','CZE','GBR','FRA','ITA','ESP','POL','NED','SUI','BEL','SWE','NOR','DEN','FIN','IRL','POR','GRE','HUN','ROU','UKR','RUS','SVK','SLO','CRO','BUL','EST','LAT','LTU','ISL'}\n",
-        "NORTH_AMERICA = {'USA','CAN','MEX'}\n",
-        "ASIA = {'CHN','JPN','KOR','HKG','SGP','TWN','IND','THA','PHI','MAS','IDN','VIE'}\n",
-        "OCEANIA = {'AUS','NZL'}\n",
-        "SOUTH_AMERICA = {'BRA','ARG','CHI','COL','PER','URU','VEN'}\n",
-        "AFRICA = {'RSA','EGY','MAR','TUN','NGR','KEN'}\n",
-        "\n",
-        "def to_region(n):\n",
-        "    if n in EUROPE: return 'Europe'\n",
-        "    if n in NORTH_AMERICA: return 'North America'\n",
-        "    if n in ASIA: return 'Asia'\n",
-        "    if n in OCEANIA: return 'Oceania'\n",
-        "    if n in SOUTH_AMERICA: return 'South America'\n",
-        "    if n in AFRICA: return 'Africa'\n",
-        "    return 'Other'\n",
-        "\n",
-        "df['region'] = df['nationality'].apply(to_region)\n",
-        "df['event_size'] = df['event_name'].map(df.groupby('event_name').size().to_dict())\n",
-        "\n",
-        "df[['gender', 'is_male', 'age_group', 'age_numeric', 'region', 'year', 'event_size']].head()\n"
-      ],
-      "id": "cfiHKzEqveZL"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "BeYGSWacveZM"
-      },
-      "source": [
-        "### Clustering by performance archetype\n",
-        "\n",
-        "KMeans on the 16 split times (8 runs + 8 stations). The cluster ID becomes a feature. Picking k with the elbow method on a 10k sample."
-      ],
-      "id": "BeYGSWacveZM"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 19,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 487
-        },
-        "id": "VcVMa8BGveZM",
-        "outputId": "e35e25bc-d2b2-445e-d35c-225b53c3ab03"
-      },
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 800x500 with 1 Axes>"
-            ],
-            "image/png": 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\n"
-          },
-          "metadata": {}
-        }
-      ],
-      "source": [
-        "cluster_features = [f'run_{i}_sec' for i in range(1, 9)] + [f'work_{i}_sec' for i in range(1, 9)]\n",
-        "X_cluster = df[cluster_features].copy()\n",
-        "scaler_cluster = StandardScaler()\n",
-        "X_cluster_scaled = scaler_cluster.fit_transform(X_cluster)\n",
-        "\n",
-        "sample_idx = np.random.choice(len(X_cluster_scaled), size=10000, replace=False)\n",
-        "inertias = []\n",
-        "for k in range(2, 9):\n",
-        "    km = KMeans(n_clusters=k, random_state=SEED, n_init=10)\n",
-        "    km.fit(X_cluster_scaled[sample_idx])\n",
-        "    inertias.append(km.inertia_)\n",
-        "\n",
-        "plt.figure(figsize=(8, 5))\n",
-        "plt.plot(range(2, 9), inertias, marker='o')\n",
-        "plt.xlabel('k')\n",
-        "plt.ylabel('Inertia')\n",
-        "plt.title('Elbow method')\n",
-        "plt.grid(alpha=0.3)\n",
-        "plt.show()\n"
-      ],
-      "id": "VcVMa8BGveZM"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 20,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "Ovu4uPWAveZM",
-        "outputId": "d15ad1cb-2a0a-4cf1-c6ce-3c3464bb49cb"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "cluster\n",
-            "0     9707\n",
-            "1    35217\n",
-            "2    20005\n",
-            "3    26579\n",
-            "Name: count, dtype: int64\n"
-          ]
-        }
-      ],
-      "source": [
-        "K = 4\n",
-        "kmeans = KMeans(n_clusters=K, random_state=SEED, n_init=10)\n",
-        "df['cluster'] = kmeans.fit_predict(X_cluster_scaled)\n",
-        "\n",
-        "distances = kmeans.transform(X_cluster_scaled)\n",
-        "df['cluster_distance'] = distances[np.arange(len(df)), df['cluster']]\n",
-        "\n",
-        "print(df['cluster'].value_counts().sort_index())\n"
-      ],
-      "id": "Ovu4uPWAveZM"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 21,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 641
-        },
-        "id": "rZYPVTyXveZM",
-        "outputId": "faba0e66-fc92-4ab9-b818-02be5fd26b3d"
-      },
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 1000x700 with 2 Axes>"
-            ],
-            "image/png": 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\n"
-          },
-          "metadata": {}
-        }
-      ],
-      "source": [
-        "pca = PCA(n_components=2, random_state=SEED)\n",
-        "X_pca = pca.fit_transform(X_cluster_scaled)\n",
-        "sample_idx = np.random.choice(len(X_pca), size=10000, replace=False)\n",
-        "\n",
-        "plt.figure(figsize=(10, 7))\n",
-        "sc = plt.scatter(X_pca[sample_idx, 0], X_pca[sample_idx, 1],\n",
-        "                 c=df['cluster'].iloc[sample_idx], cmap='Set1', alpha=0.5, s=8)\n",
-        "plt.xlabel(f'PC1 ({pca.explained_variance_ratio_[0]*100:.1f}%)')\n",
-        "plt.ylabel(f'PC2 ({pca.explained_variance_ratio_[1]*100:.1f}%)')\n",
-        "plt.title(f'Clusters in PCA space (k={K})')\n",
-        "plt.colorbar(sc, label='Cluster')\n",
-        "plt.show()\n"
-      ],
-      "id": "rZYPVTyXveZM"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 22,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 694
-        },
-        "id": "IjDSXgvdveZM",
-        "outputId": "66693e12-5f3c-43be-e13e-1ab13f8db275"
-      },
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 1400x500 with 2 Axes>"
-            ],
-            "image/png": 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29qhTpw4CAwPxxRdf4Pbt24iIiMC3335b4Dh8//33BeYCzPPuv09h5+G4ceNw69YtDB06FFWrVoWRkRFkMhmGDRuW/xwf4t+eM506dUKdOnVw/PhxXLhwAWvWrMGqVauwbNmyYhcrKcuKqnp93/tP1ec6ERERlR1MvhERkdq0bNkS27dvx61bt+Dv7//B2+dVbiUnJytM6h4REVFo/5o1a6JmzZoYP348Dhw4gG+//RaHDx/Gxx9/XGQiL68CR1dXF40aNfrgGItz9OhRuLi4YPny5QrPnzcZ//vkxfbkyROlxOPq6gpBEODs7AwPD49i+xZ1vAB5JV61atVw4MABODg4ICIiAlOnTi2078uXL9GgQYP8x2lpaYiJiUGzZs0AvHmN1tbWJTr+rq6uGDJkCIYMGYKQkBD06NEDa9euxYIFCwrt36RJE6xbt+69+y1MYSv05nny5AlCQkIwd+5c9OjRI7/9woULhfbv2LEjZsyYgefPn+Pw4cMwNDREy5Yt83+fdxxMTExKfR4mJSXh0qVLGDNmDEaPHp3fnldxlcfa2hr6+vp4+fJlgX282/Yh50xR7OzsMGDAAAwYMABxcXHo2bMnVq5cqZB8i46ORnp6ukIyLy/uChUqlOp5S6K481zZVH2uExERUdnBOd+IiEhthg0bBiMjI0ydOhWxsbEFfv/q1Sts2LChyO3zKs6uXbuW35aeno59+/Yp9EtKSipQ1ZNXPZSdnQ0AMDQ0BCBP5L3N2toa9erVw/bt2xEdHV0ghvj4+CLje5+8Spa3Y7tz5w5u375dou2trKxQt25d7N69u0DCsTRVTO3atYNEIsHy5csLbC8IAhISEvIfGxoaFjtcs3v37rhw4QI2bNgACwuL/GTau7Zv364w3Hbr1q3Izc3N79+0aVOYmJggICCg0Pn68o5/RkYGsrKyFH7n6uoKY2Pj/H/jwtjZ2aFRo0al+qlUqVKR+82rcnr7OAqCgI0bNxbav3379pBIJDh06BCOHDmCFi1aKCSafHx84OrqirVr1xY6VLsk52FRFVnvvsckEgkaNWqEkydPKszF9vLlS5w7d06h74ecM++SSqUFziFra2vY2dkV+DfLzc3F9u3b8x9nZ2dj+/btsLKyUlgVtSSMjIwKvM+LUtR1QRVUfa4TERFR2cHKNyIiUhtXV1csWLAA48ePR6dOndC9e3d4eXkhOzsbt27dwpEjR9CrV68it2/cuDGcnJzwww8/4Pnz55BIJNi9ezcsLS0VklF79+7F1q1b0aZNG7i6uiItLQ07duyAiYlJfpLHwMAAlSpVQmBgINzd3WFhYYHKlSvDy8sLP/30E/r374+uXbuiT58+cHFxQWxsLG7fvo3Xr19j//79pXr9LVq0wLFjxzBq1Ci0aNECYWFh2LZtGypVqoT09PQS7WPq1Kno168fevbsib59+8LZ2Rnh4eE4ffo0/v777w+Kx9XVFePGjcPChQsRHh6ONm3awNjYGGFhYThx4gT69OmDoUOHAgCqV6+Ow4cPY86cOfD19YWRkRFatWqVv68uXbpg/vz5OH78OPr166ewqMLbcnJyMGjQIHTs2BEvXrzAli1bULt2bbRu3RqAvNJr+vTp+P7779GrVy906tQJVlZWiIiIwJkzZ1CrVi1MmzYNISEhGDRoEDp06IBKlSpBIpHgxIkTiI2NRefOnT/oOCiDp6cnXF1dMXfuXERFRcHExARHjx4tMoljbW2N+vXrY926dUhLS0OnTp0Ufi8WizF79mwMHz4cXbp0Qa9evWBvb4+oqChcuXIFJiYmWLlyZbExmZiYoG7duli9ejVycnJgb2+PCxcuICwsrEDf0aNH4/z58+jXrx/69esHmUyGzZs3o3LlyggKCsrv9yHnzLvS0tLQvHlztG/fHlWqVIGRkREuXryIe/fuYdKkSQp97ezssGrVKoSHh8Pd3R2HDx9GUFAQZs2aVeS5VZTq1avj0qVLWLduHezs7ODs7Jy/6MS7XF1dYWZmhm3btsHY2BhGRkbw8/MrMCedMmjruU5EREQfjsk3IiJSq9atW2P//v1Ys2YNTp48ia1bt0JPTw/e3t6YNGkS+vTpU+S2urq6WL58OWbMmIElS5bA1tYWn3/+OczMzBTm8apXrx7u3buHw4cPIzY2FqampvDz88OCBQsUPkTPnj0bs2bNwpw5c5CTk4PRo0fDy8sLlSpVwu7du7F8+XLs3bsXiYmJsLKyQrVq1TBq1KhSv/ZevXohNjYW27dvx/nz51GpUiXMnz8fR44cwdWrV0u0jypVqmDHjh1YsmQJtm7diqysLDg5OaFjx46limnEiBFwd3fH+vXrsWLFCgCAg4MDGjdurJBc69+/P4KCgrBnzx6sX78eFSpUUPi9jY0NGjdujDNnzqB79+5FPt+0adNw4MABLF26FDk5OejcuTOmTp2qMNyva9eusLOzw59//ok1a9YgOzs7f560vOSsg4MDOnfujEuXLmH//v2QSCTw9PTE4sWL0b59+1Idi39DV1cXK1euxOzZsxEQEAB9fX20bdsWAwYMKPJ4dOrUCRcvXoSxsXGh853Vr18f27dvx++//47NmzcjPT0dtra28PPzU1gJtDgLFy7ErFmzsGXLFgiCgMaNG2PVqlUF5jP08fHBqlWrMG/ePCxZsgSOjo74+uuv8fz5czx//lyhb0nPmXcZGBigX79+uHDhAo4dOwZBEODq6pqf7H6bubk5fv31V8yePRs7duyAjY0Npk2bVuz1oSiTJk3CtGnTsHjxYmRmZqJnz55FJt90dXXx66+/YtGiRZg+fTpyc3MxZ84clSTfAO0814mIiOjDiYTSjFMhIiIieseoUaPw5MkTHD9+vMDv9uzZg8mTJ2PXrl3w9fXVQHRUGl999RWePn2KY8eOqe05P/30UyQkJODgwYNqe04iIiIiVeKcb0RERPSvRUdHv7fqjcq2zMxMhcchISE4e/Ys6tWrp6GIiIiIiMoHDjslIiKiUgsNDcXNmzexa9cu6OjolHg4JJU9bdq0Qc+ePeHi4oLw8HBs27YNurq6GDZsmKZDIyIiItJqTL4RERFRqV27dg2TJ0+Gk5MTfv31V9ja2mo6JCqlpk2b4tChQ4iJiYGenh5q1qyJCRMmwN3dXdOhEREREWk1zvlGRERERERERESkIpzzjYiIiIiIiIiISEWYfCMiIiIiIiIiIlIRJt+IiIiIiIiIiIhUpHwuuCA9rukIygzh+klNh1Am5FwM1nQIZYKQI9N0CGVGzqtkTYdQJkhsDDUdApUxe2fwegkAjZLHaDqEMmHvs/uaDqHMGBst0XQIZULWuRBNh1AmiKeP1nQIZUaDres1HUKZcMPZUdMhlAnSx681HUKZoTtym6ZDKBO2iLyVsp/+wmOl7EdTWPlGRERERERERESkIuWz8o2IiIiIiIiIiDRKzJIvAEy+ERERERERERGRCjD5JsfDQEREREREREREpCKsfCMiIiIiIiIiIqVj5Zsck29ERERERERERKR0TL7JMflGRERERERERERKJxZpOoKygTlIIiIiIiIiIiIiFWHlGxERERERERERKR2Hncox+UZERERERERERErH5JscDwMREREREREREZGKsPKNiIiIiIiIiIiUjpVvcky+ERERERERERGR0jH5JsfkGxERERERERERKR2Tb3I8DERERERERERERCrCyjciIiIiIiIiIlI6Vr7JMflGRERERERERERKx+SbHA8DERERERERERGRirDyjYiIiIiIiIiIlE4kEmk6hDKByTciIiIiIiIiIlI6DjuVY/KNiIiIiIiIiIiUjsk3OR4GIiIiIiIiIiIiFWHlGxERERERERERKR0r3+SYfCMiIiIiIiIiIqVj8k2Oh4GIiIiIiIiIiEhFWPlGRERERERERERKx8o3OSbfiIiIiIiIiIhI6Zh8k2PyjYiIiIiIiIiIlI7JNzkeBiIiIiIiIiIiIhVh5RsRERERERERESkdK9/kmHwjIiIiIiIiIiKlE4s0HUHZwBwkERERERERERGRijD5RkRERERERERESicWK+fnQ6SmpuLnn39Gy5Yt4efnh08++QR3795VzQssIQ47JSIiIiIiIiIipdPEnG9Tp05FcHAw5s2bBzs7O+zfvx+DBw/G4cOHYW9vr/6AwMo3IiIiIiIiIiJSAXVXvmVmZuLYsWP47rvvULduXbi5uWHMmDFwc3PDli1bVPdC34PJNyIiIiIiIiIi0nq5ubmQSqXQ19dXaNfX18fNmzc1FBWHnRIRERERERERkQqIlbTcaXZ2NrKzsxXa9PT0oKenp9BmYmICf39//P777/D09ISNjQ0OHjyI27dvw9XVVSmxlAYr34iIiIiIiIiISOlEEpFSfgICAlC7dm2Fn4CAgEKfc968eRAEAc2aNYOvry82bdqEzp07Q6yJCej+j5VvpbBs+SEs/z1Qoc3Dwx5HDv1YaP+cHCkCVh3Dvr+vICoqER4e9vh2Qnc0a1pNHeGqTKsJRxERm16gvX9rD0z7vGah2xy5Go4lux8iPDYdbvYm+LZvdTSv4aDiSFVLd8gfEJnbFWiX3g6E9J/VhW4j9u8MiV97wMwGyEiBLPgSpOf/AqQ5qg5XpfRGBhR+LG4GIvfEnwU3EEsgadAbkuotAVMrCPHhyD2zCcKLW2qIVoVEYuh1+gw6ddtAZGYFISkOOVeOIufI5iI3EXv6QL/7cIgdXAFdfQjxUci5cBA5/+xWY+BKJhJDp0V/SPxaQGRiCSElHtLbJ5F7dluxm4ndfaHbfihEtm4QkmOQe3Y7pLdPqiloFeBxUKBjYgy/WWPh0rMN9O2skXDrIW6M/QXx1+8VuY17/66o+v0wmFZ2Q05SCiICz+HWd/OQHZ+ovsCVaFPAFWxedVWhzdnNAmt2f1po/8N77+PEoUd4+SweAFCpqi0Gf9UQVXy0++8nADw4Fo4Hx8OREpMJALByNkbt3u5w9bcutL80V4Zb+17iydnXSIvPhoWjIeoPqAjXmoX31xatfzqPiPjMAu39mjpjWp8qBdp3XAjH/quRCI5MBQBUczHD+K4V4edurvJYVUokhk6r/pDUaPnmennrBHJPF3O9NLGEbsdhEDtVhsjKEdLL+5ETuEp9MavI78sDsfL3owpt7h522H9oSqH9h3y+DNevPSvQ3rRZNaxYOUIlMarDkOo90Mq1HtzNnJAlzcadmCdYcusvvEyOLHIbHZEEQ3x6oItnM9gZWeFlciSW3PwLFyPvqDFy5Wo95TQi4jIKtPdr7opp/asXaN9xLhT7L4cjOCIFAFDN1Rzje3jBz8NC1aGqXLvVDxCRnF2g/ZMaNpja2qVA+6AdwbgellqgvamHGf7oWVElMZIikZIq30aOHInBgwcrtL1b9ZbH1dUVmzdvRnp6OlJTU2FnZ4dx48bBxaXgOaIuTL6VUuVKjli3Zkz+Y4lO0RnUxUsPYP+Ba5g9oz88Pe1x7kIQRn+9Ctv+moBq1TT3j/9v7ZreAlKZkP84OCwZQ+ZdQPt6FQrtfzM4Dt/8fg0TPq6GFjUdcPBSGEYvvozds1rBy9lMXWErXc7WiYDozb+/yMYVur1/giz4UqH9xd5NIGkyENJjKyCLfAyRhRN02o8GBEB6dr2aolaN7I3fKcyGKbJxhV7fGZA+vlBof0nT/pBUa47co79DFhcOsUdN6PaYiJy/JkOIfqGusJVOt+0n0G3aDZmb5kIWGQKxqzcMBn4HZKQh58zewjfKzkTO2X2QhT+HkJ0JSUVf6H8yDkJ2JnIvHFLvC1ASnSa9oVO3I7L3/gYh5hVETpWh130shKw0SK8cKHQbkYU99Pr/hNzrgZDuXgCxZ03odvsaQkoCZM80N0fDv8HjoKj+6tkw96mMi59+j4yIaHgM7IZWJ9bhULVOyIiILtDfplEtNNg4FzfHz0H4gX9gVMEedVdOR/1Vs3Cu95hCnkE7uHla4dffe+Q/Lu4+4u6NcLRs74Vqfo7Q1Zdgx4abmDL6b/y5YwBs7EzUEK3qGFvro37/ijB3MAQE4PHZ1zgy/x4+mlsXVi7GBfpf2/4CT869RvORVWDpZITQO/E4uuA+es6qBRsPUw28AuXY+W09SIW37qkiUjF0xS108C/4hRYAXHuagE617eHv6Q19HTFWnwjBsN9v4cCUBrC3MFBX2Eqn0/Qj6NTthOw9v0GIfglRhcrQ6zkOQmYapJeLuF7q6AJpScg9sw06jXqoN2AVq1jJAavWfJX/uLjrxG9LhiAnR5r/ODExDR/3mo927WuoNEZVq2VfFdsfH8WDuGfQEUkw2v8T/NHqB/Q68A0ypVmFbvNVzb7o7NEUsy4H4EVyBBo51sDC5t9i0NEf8TghRL0vQEl2Tm4IqezN4+CIFAxdfA0dahf+Jcy1J3HoVNcR/hWrQV9XjNVHnmPYkms48FNT2Ftq7zUCALb198JbH0ERHJuB4bufoZ2XRaH9l3T1QM5bGyRm5KL3pkdoX0R/KrsKG2L6PkZGRjAyMkJSUhLOnz+P7777TkXRvR+Tb6UkkYhha1uyhNHf+6/iy5Ht0by5/FuJ/p80xaVLj7B2/SksmPe5KsNUKSszxQkMVx18Alc7Y9SrYlNo/01Hn6GJrx2GdvYCAIz9qBouPojGX8efYcZgf5XHqzIZyQoPxR49ISRGQgh7UGh3kVMVCBGPIHt8HgAgJMdA9vg8RA6VVR6qyr17LOr3gpAQCSG08GMhqd4CuZd2QfZcnkyQ3T4KmVsNSOp2R+6hxaqOVmUkntWRe/cipA+uAACk8VGQ1mkJsVvB6oU8srCnkIU9zX+cGx8FnRpNIKnoq7XJN7FLVUgfXYEs+DoAQEiMhsynGcQVvCAtYhtJnY4QEqOQe2wNAEAaGwaxazXoNOyObC1NOvE4vCEx0IdL73Y42/0rxJyTH497M5ajQteWqPxlf9z9cXGBbWwa1kRaSDieLNsEAEgLCcPTgO2oNnG4OkNXOomOGFY2BZNLhZk0u73C4/FTW+HCqae4dTUUbbtUVUV4auNeW/Geof4nnnh4LBxRwUmFJt+enHuNWj3d4Pb/yrjq7Sog7F4C7hwMResx2juiwMpU8cPEquMhcLUxRN1KloX2n/+5j8LjWf2r4did07j0OB496jupLE5VE7v+/3r55BqA/18vfZtD7OwNKQpPvgmJ0cg5LK+ul9Rqq7ZY1UFHIoZNCT9vmFsovl8CA2/CwEAXbdvXVEFk6jP61ByFxz9d/B2nPl6NataeuBkdVOg2XTyaYvX9vTgfcRsAsDP4OOo7+uLTal0w9cJyVYesElam73zuOvIMrrZGqOtlVWj/+UNrKjye9Zkvjt16jUuP4tCjYeGFEtrCykhX4fHqq1FwMddDXefCv4wyN1RMeQQ+ToCBrrjIZB0pn7Iq3z7EuXPnIAgCPDw88OrVK8ybNw+enp7o1auX2mPJo9HkW3x8PHbv3o3bt28jNjYWAGBjYwN/f3/06tULVlaFX0zKgpevYtCk+RTo6+uiZg0PfDO+G5ycCo83JzsXevqKFwl9fT3cvFmwNFxbZefKsP9iKAZ1qASRqPA31+2n8RjUoZJCW2Nfe5y8EaGOENVDrANx1WaQ3ij8BhEAhIhHEFdpBpF9JQhRTwFze4jda0EadEaNgaqBWAeSas0hvb6/6D4SXSD3nbLx3GyInbX7w6T0+QPoNu4MkZ0zhOgwiCt4Quzpi+w9f5R4H2LnShB7Vkf2gXUqjFS1ZKFBkNTuAJG1E4S4CIjsPSB2rYaco2uK3EbsUgWy57cV9/P0JnQ7aG+ihcfhDZGODsQ6OpBmKlYr5GZkwbZJrUK3ib10GzV+GQ+njs0QEXgWBnbWcPmoPSIOa/c1M/xVIvp1WAs9fQmq+jpgyOhGsHMoWeVWVmYucnNlMDXX7uqFd8lkAp5fikZOlhT2XoUPn5TmyCDRVaz+0dETI/JxkjpCVIvsXBkOXHuNQS1di7yneldmthS5UgHmxrrv71yGyV4FQVLnreulgwfEbtWQE1j4NB7l3ctXsWjdfBr09HVRo4Y7xo7vAkenwhOy79q7+wo6dKoFIyP993fWIia6RgCApKyCwwjz6Ep0kf3OVC6Z0mz423qrNDZ1yc6V4cCVCAxq4/Gfu0a8K0cqw8GgeHxW267Ex2LPvTh09LaEka5ExdFRHpFE/cm3lJQULFq0CK9fv4aFhQXatWuH8ePHQ1dXc+8BjSXf7t69i2HDhsHAwACNGjWCu7s7ACAuLg6bNm3CqlWrsHr1avj6+moqxCL5+bljzs8D4eFhj5iYJKz4PRADPv0NB/b/ABPjgjfCTZpUxfr1p1C3diW4utrg0uXHOH7iNqRSoZC9a6eTNyKQkp6Dnk2LXj0kNikT1uaKNwA2ZvqITSq8ZFwbiSvVA/SNIXv4T5F9ZI/PA4Zm0Ok7G4AIIokOpHeOQnZtj/oCVQNx5XqAgTGk908V2Uf24hYkdbtBCHsIIeE1RG5+EHs1UBjGq41yjm+FyMAIRlPXAYIMEImRfXAtcq+/f74uo1nbIDIxByQSZB/eiNxLh9UQsWrknt8F6BtBf/RKQCYDxGLkntwE6b3TRW4jMrGELDVRoU1IS4TIwBjQ0SuYrNUCPA5v5KamIebiTfj8+BWSg54jMyoWbv26wKZhTaQ+fVXoNrEXb+LigO/QePtiSAz0INbVRdj+U7g2aqaao1eeKj72+HZ6Gzi7WSI+Ng2bV13FN8N2I2B7fxgZv384xZplF2FtY4xa9bR36oq3xb1Kxd6pNyHNkUHXQIL23/rCyrnwqkCXGla4eygUjlUtYG5viLD7CXhxNQYyWTm6p7obg5SMXPRsUPIKtgV/P4WduT4aeZfdL65LIvfcTvn18uuA/L+fuSc3Qnr3tKZDUztfPzfM/rk/3D3sEBOThJW/H8WgT5diz/6JMC7k88bb7t19iafBkZgx6xM1RaseIojwbZ3PcSv6EZ4lhRbZ71LEHQys2hk3o4MQmhKFeg4+aOVSDxItv7/Mc/J2lPwa0ajkFWwL9jyWXyOqavf8mO86+TQJKVlS9Khestd1LzINwXGZmNlOcyteknp06tQJnTp10nQYCjSWfJs9ezY6dOiAGTNmFMhSC4KAn376CbNnz8b27ds1FGHRmjd7M6llFe8KqOHnjpZtpiHwyE183LtRgf4/TP4IU6dtRccusyASieDiYoNePRtg957L6gxbpXadeYmmfvawtzTUdCgaJa7eGkLILSAtocg+IufqkNTrBempVRAigwELB+i0GAKh/keQXdmlxmhVS+LXRj6cNLXoY5F7cg10OnwF3aHLAABC4mvI7p2C2LeVusJUCZ1aLaBTtzWyNvwin/OtQkXofzQKQlIccq8cK3bbjMXjINI3hNi9KvS7D4cQE47cG0Unc8sySfWmkPi2QM7uBZBFv4TYwRO6HYZDSImD9E7RSdnyhsdB0aVPv0f9tb+gZ8Q5yHJzkXDzIV5uPQSr2gUnjAYAs6oVUXvJD7g/cwUij56HoaMtas7/HvVWzsCVYT+oOXrlqNvYPf//PSvboIqPAz7tsh5njwejQ4/Cj0Oe7euv4/SxJ5gf0At6+uVj9hALJyN8PK8OstOleH45Gv+sCEK36f6FJuAaD6qMMwGPsX38FUAkgpm9AbxbOOLRP0VPvq5tdl8KR9Nq1rAzL1nF0qpjIQi8+Robvq4NfS2v5JD4NIWkRgvk7Jr/5nrZaQSE5PhyseDMh2ja7M0wai9vJ/j6uaFDm5k4euQ2evVuUOy2e3dfRmUvR/j6uak6TLWaXG8IKlm4YPCxn4rtN//6evzYYCT2dP0NAgSEpUZh/7PT6F6xpZoiVa3dF8LQtLoN7Eo4v+OqI88QeC0SG76pp/XXiHftuR+HJh5msDMpWTXTnvtxqGxjAF/Hkk37QMqhiWGnZZHG7toePXqEOXPmFFoeKhKJ8Pnnn6Nnz54aiOzDmZkZwd3dDq9exhT6eysrU/y+fASysnKQmJgGOztzLFj0N1ycy8c3D+Gx6bj0IBrLvq5fbD8bcwPEvVPlFpucBZsS3lyWeaa2ELn6IvfA/GK7SRp9AlnQWcju//8mMu4VpLoGkLT5ArIruwGUg2/vzWwhcvODdN+84vtlJCN376/y4aeGpkBqPCTNP4WQFKWeOFVEr8cI5Bzflp80k0W8gMjKHnpt+703+SbEvYaQt42pJfQ6fa61yTedtoORe34XpPfPAgCk0S8hsrCDTtOPi0w6CakJEJlYKLSJjC0gZKZpbbUXj4Oi1OehONniU0iMDKFrZoLM1zFovO03pD4vvIqh+uSRiL1wE0EL5MN0E+89Rm5aBtqe34I7Uxcj83Xhf3u1iYmpPpzdLBARVvzQyZ2bbmL7+hv49fce8Kxc+Pyq2kiiI4a5g3woma2nKaKfpeDe4TA0H1FwiJihmR46fOeL3GwpMlNzYWyphytbnsPMvnwMwQ2Pz8Clx/FYOsyvRP3XnnyJVSdCsHZ0LXhX0N4FJ/LotB+C3LM7Ib33/+tl1P+vl80+/s8l395lZmYEN3dbhBbxeSNPenoWjgTewldjOqopMvWYWHcwmlaohaHHpiM6Pb7YvglZKZhwZgH0xLow1zdBTEYCvvbvj/BU7b6/BIDwuAxcCorF0i8Kn6rhXWuPPceqI8+xdlw9eGvxAneFiUjOxuVXKVjc1aNE/dNzpAh8nIBRjRxVHBm9SxPDTssijdXe2tjY4N69e0X+/t69e7Cx0Y4by7S0LIS+ioWtbfHLu+vr68Le3gK5uTIcO3YbrVuV7MaqrNtz9iWszfTRvGbhq+3kqVnJCpceKt4wXLwfjZqVtHuIRB5J9ZZARjKEFzeK76ijLx9K8ba8xyWcq6Csk/i2AtKTIHt2vWQbSHOA1HhALIHEqyFkwVdVG6CKifQMIMgK+TcWf+AlVyQGdLR3bg6RbiHnukxW7LBiWegjiD0UV2YTV6wJWdgjVYSoFjwOhZOmZyDzdQx0Lczg2L4Jwv4u/IO1xKjg+0mQypeqKOn8LmVdRno2IsKSil2AYceGG9iy+hp+XtYdXtXs1Rid+gmCAGmurNg+OnoSmFjpQyYV8PxKDNzraMc94/vsvRwBK1M9NK/+/tez+kQI/jjyHH9+6Q8f1/LxoVp+vXznS0ih+Ovlf0V6WhZCX8W9dwGG40dvIzs7F1261lFTZKo3se5gtHKph5EnZiEireRfuGTLchCTkQAdkQStXevjdFgJ70vLsL0Xw2Blqo/mvrbv7bv66HP8cegZ/vy6Dnzci/+cqo323o+DlZEOmnmW7LUde5KIbKmArlXLx2dPbSIWi5Tyo+00Vvk2dOhQ/Pjjj7h//z4aNmyYn2iLjY3FpUuXsHPnTnz//feaCq9Yc+ftQcuWvnByskJ0dBKWLT8EsUSMLp1rAwC+n7QR9nbm+GZCdwDAnTshiIpORNUqzoiKSsSyFYchEwQMG9pGky9DKWQyAXvPvUSPJq7QkSjeGE0MuA47S0N800c+hObT9hXx2S/nsDYwGC1qOODQ5TA8eJGAmUO0eKXTfCKIq7eC7OHpAh+yJe3HAKnxkF74CwAgPL8Oca2uEKJfQPY6GCILB3k13PPrBT+gayURJD6tIL1/usDr0en0NYTUeEjPbpb3dKwMkYk1ZNEvIDK1gk7jTwCRCNKrezUQt/Lk3rsEvfYDICREy4edOleCXsuPkHP5SH4fvW5DITK3QdamuQAA3WbdIYuPhixKPu+VpJIf9Fp/jJwz2nsspE+uQrdZXwhJMRBiXkHkUBE6DXsg99bx/D46rT+HyMwaOXsXybe5Hgidel2g03YwpLeOQ+zhB0n1psj+a4amXsa/xuOgyLFdE0AkQvLjFzCt5Ar/+d8j+dFzPF8nn/eyxi8TYFTBHpc+nwgACD/wD+qvmoVKX/RD5NFzMHS0Q+3FUxB75Q4yIqM1+VJK7c/F59GgqQfsHE0RF5OGTQFXIBGL0KK9fDXwedOOwcbOBENGy6ey2L7+BjYFXMbE2e1h72iK+Ng0AIChkS4Mjd4/R1xZdmXLM7jUtIaJjT5yMqV4ej4KEQ8T0XmKPPl8avlDGFvpo37/igCAqOAkpMVnw8bdBGnxWbi+6wUEQUDNbto/f49MJmDP5Uj0qOdY8J5q433YWxhgQjf5wlWrjodg2eFnWPC5DypYGyAmWT6ywEhfAmMtHo4sfXQVus3/f72MfgmRY0XoNOqJ3JtvXS/b/v96uXtRfpvIwVP+Xz1DCMbm8sfSHAgxRc8LVtYtmPc3WrSsDkcnS8REJ+P35YGQSETo+P/PG1MmbYa9nTnGTuiqsN2e3VfQqrUvLCzKx7C6yXWHoqNHY4w/PR9pORmwNpAnWlJz0pH1/0UVZjUahej0eCy7vRUA4GNdCXZGVnicEAI7QyuM9PsIYoiw/kExi4BpAZlMwJ6LYejRsELBa8S6O/JrRE95xfCqI8+w7EAwFgytiQrWRohJeusaYaC914g8MkHAvgdx6F7NCjrvJGUmB4bAzkQP45sqzpu5534cWlUyh4Wh9r9+0k4aO/MGDBgAS0tLrF+/Hlu3boX0/99iSyQSVK9eHXPmzClzE+TleR2ViAnfrkNiYjqsrExQu5Yndmz9BlZW8nL/yMh4hcxsVnYOFi85iNCwWBgZ6aN5s+qYN/czmJkZaeolKM3FB9GIiMtAr2YF55SIiMtQqEqoVdkaC76si8W7HuK3nQ/hbm+M5eMawKsclECLXP0gMrOF9H7Byg2RqQ2Et77FlV7ZBQECJI37QWJiBaQnQ/b8OqQXt6gzZJURuftBZG4H2b1CjoWZreI32jp6kDTtDx0LeyA7E7LnN5BzaDGQla6+gFUga+cy6HUZDP2+YyEysYCQFIecCweRHbgpv4/IzBpiK7s3G4lE0Os2FGJrB0AmhSw2Ell/r0LuhYMaeAXKkXM4AGg1ELqdv4LI2BxCSjxybwQi98y2/D4iU0uIzN98eyskRiF7ywzoth8GnfrdICTHImf/Usie3dTES1AKHgdFuuamqDFnAoycHZAdn4jQ3cdw54ffIOTmAgAMHW1h5PpmSMiLDXuha2oMr9EDUGvhRGQnpiDq1GXcnlj8EP+yLDYqFXN+OIqUpAyYWxqieg0nLF7fBxb/nzc15nWqwn3Eod33kJMjw+yJgQr7GTi8Hj4dWfyUD2VdRnIOTv0ehPSELOgZ6cDa1QSdp9SAi5+8MiElLgt461hIc2S4tv05kqMzoWsggWtNK7QaVQ365WAFv0uP4xGZkIleDQsutBCZkAnxW/dU286HISdXwNg1iqNIRnX0wOhOFVUeq6rkHFoJtB4I3a5vXS+vBSL39Nb8PiITK4XrJQAYjFqW///iCpWhU6MlZAlRyFo0RG2xK1t0VCImfrsRiYlpsLQyQa1anti8dTysrEwAAK8jEwpUgrx4EYVbN58jYPWXmghZJfp4twMArG43XaF92sXfceC5fNVrB2NryN76wldfootRNfqigqkd0nMycSHiNn68uAKpOdp9f3npUSwi4zPRq7Fzgd9Fxr9zjTgbKr9GBNxS6DeqSyWM7lpZ5bGq2qWXKYhMyUFPn4LTOEWm5CgcCwB4EZ+Jm+Fp+LO39l4ftRnnfJMTCcK7td3ql5OTg4QE+aTslpaW/375V+nx9/f5jxBKsLrif0HOxWBNh1AmCDnlobJOOXJeJWs6hDJBYvPfXiSFCto7g9dLAGiUPEbTIZQJe5/d13QIZcbY6PI1UXlpZZ0L0XQIZYJ4+mhNh1BmNNi6XtMhlAk3nDmXGABIH7/WdAhlhu7Ibe/v9B8Q2qFkcxS+j8sR7f4SukzUXOrq6sLOzu79HYmIiIiIiIiIiLRImUi+ERERERERERFR+SL60EXnyikm34iIiIiIiIiISOlEEs75BjD5RkREREREREREKsAFF+RY/0dERERERERERKQirHwjIiIiIiIiIiKlY+WbHJNvRERERERERESkdJzzTY7DTomIiIiIiIiIiFSElW9ERERERERERKR0Yg47BcDkGxERERERERERqQDnfJNj8o2IiIiIiIiIiJSOc77Jcc43IiIiIiIiIiIiFWHlGxERERERERERKR2Hncox+UZERERERERERErHYadyHHZKRERERERERESkIqx8IyIiIiIiIiIipROJWfMFMPlGREREREREREQqwDnf5Jh8IyIiIiIiIiIipRNzzjcAnPONiIiIiIiIiIhIZVj5RkRERERERERESsdhp3JMvhERERERERERkdKJOOwUAIedEhERERERERERqQwr34iIiIiIiIiISOk47FSOyTciIiIiIiIiIlI+DjsFwOQbERERERERERGpACvf5DjnGxERERERERERkYqw8o2IiIiIiIiIiJRPwpovgMk3IiIiIiIiIiJSBQ47BcBhp0REREREREREVE5IpVIsXrwYrVq1gp+fH9q0aYMVK1ZAEASNxcTKNyIiIiIiIiIiUjqRBlY7XbVqFbZu3Yq5c+eiUqVKuH//PiZPngxTU1N89tlnao8HYPKNiIiIiIiIiIhUQQPDTm/duoXWrVujRYsWAABnZ2ccOnQId+/eVXsseTjslIiIiIiIiIiIlE8iUspPdnY2UlNTFX6ys7MLfUp/f39cvnwZL168AAA8evQIN27cQLNmzdT5yhWw8o2IiIiIiIiIiMqsgIAALF++XKFt9OjRGDNmTIG+I0aMQGpqKjp27AiJRAKpVIrx48ejW7du6gq3ACbfiIiIiIiIiIhI6URKGnY6cuRIDB48WKFNT0+v0L6BgYE4cOAAFi5ciEqVKiEoKAhz5syBnZ0devbsqZR4PhSTb0REREREREREpHwS5cx2pqenV2Sy7V3z5s3DiBEj0LlzZwCAt7c3IiIiEBAQoLHkG+d8IyIiIiIiIiKiciEzMxMikWLFnUQigSAIGoqIlW9ERERERERERKQCyhp2+iFatmyJlStXwsnJKX/Y6bp169C7d2+1x5KHyTciIiIiIiIiIlI+ifqTb1OnTsWSJUswY8YMxMXFwc7ODn379sWoUaPUHkseJt+IiIiIiIiIiEj5NJB8MzExwQ8//IAffvhB7c9dFM75RkREREREREREpCLlsvJtw5O9mg6hzHB0NNV0CGWCw2d1NB1CmSDT4ASTZY2BRFfTIZQJ2bJcTYdQJvC98UabiX00HUKZEBhyWdMhlAm//BOm6RDKDEkrF02HUCa8auek6RDKhFahpzQdQplx+8JLTYdQJswZYqHpEMqE5t28NB1CmdFE0wGUEZqY860sKpfJNyIiIiIiIiIi0jANDDstizjslIiIiIiIiIiISEVY+UZERERERERERMonZs0XwOQbERERERERERGpgIjDTgEw+UZERERERERERKrABRcAcM43IiIiIiIiIiIilWHlGxERERERERERKR+HnQJg8o2IiIiIiIiIiFRAxGGnADjslIiIiIiIiIiISGVY+UZERERERERERMonYc0XwOQbERERERERERGpAud8A8DkGxERERERERERqQDnfJNj/R8REREREREREZGKsPKNiIiIiIiIiIiUj8NOATD5RkREREREREREqsBhpwA47JSIiIiIiIiIiEhlWPlGRERERERERERKJ+KwUwBMvhERERERERERkSqIOeASYPKNiIiIiIiIiIhUgXO+AeCcb0RERERERERERCrDyjciIiIiIiIiIlI+DjsFwOQbERERERERERGpApNvADjslIiIiIiIiIiISGVY+UZERERERERERMrHBRcAMPlGRERERERERESqwGGnAJh8IyIiIiIiIiIiVWDyDQDnfCMiIiIiIiIiIlIZVr4REREREREREZHycc43AEy+ERERERERERGRKnDYKQAOOyUiIiIiIiIiIlIZVr4REREREREREZHysfINAJNvRERERERERESkCpzzDQCTb0REREREREREpAoaqHxr1aoVwsPDC7T3798fP/30k9rjAZh8IyIiIiIiIiKicmLXrl2QSqX5j4ODgzF48GB06NBBYzEx+UZERERERERERMqngco3Kysrhcd//vknXF1dUa9ePbXHkofJNyIiIiIiIiIiUjqRSDlzvmVnZyM7O1uhTU9PD3p6eu/dbv/+/Rg8eLDSYikNLjtBRERERERERERlVkBAAGrXrq3wExAQ8N7tTpw4gZSUFPTs2VMNURaNlW9ERERERERERKR8Shp2OnLkSAwePFih7X1VbwCwe/duNGvWDPb29kqJo7SYfPuXLu4OwelNz1C3iwvaDvMqtM+tY+G4908kYl+lAQAcKpqixcCKcPIyV2eoKnds2xMcWPMQLXp6ovdXfoX2uXz0Jf5acEuhTUdXjN8Od1NHiGqxd+NdbFl5E536VMXgcfUL7ZObK8PejXdx5vAzxMemwcnVHAO+qg3/Bs5qjlZ19m26h60rb6Ljx1UxaFzhY+tzc2XYt/EezgY+RXxsOhxdzTHgy9qo2aCCmqNVrq2rbmDbGsXzvIKbOX7f/nGR21w4+Rx//XkD0ZGpcHIxw2ej6qFOIxdVh6pWfG/I/ZffG2v/OIt1AecU2lzdrfHXvi/eu+2JIw8wY9I+NGnhhTmLi34vaaP/8r3E2Lofo3Olhqhs5YyM3GxciwjCzPPr8Syh4ApleT6p1hrL2o9XaMvMzYbLsl6qDldtbuwLweUtz+HXyRlNBxV+TgDA00vRuLL9OVJiMmHuYIiGAyrCvZaNGiNVrpB/IhByOhIZcZkAAFMnI1Tu6gZ7X6sit8lJz8WjvS8QeTMOOWk5MLQ2QPW+FWHvV/Q22ubE9mAcWhuEZj080fNLn0L7XD32ClsX3lZo09EVY/7BLmqIUHWaVqqJ79oORG1XbzhZ2KLHyu/x952zxW7Tv257fN9uICrbuSApIxWBDy7huz3LEJ+WrKaole/xiXA8PhmBtBj5e8Pc2Rg1erqhQg3rIrd5eCQUT05EIC0uC/qmunCrZ4tafTwg0ZOoK2yVO/xXEHavuos2vSuj35hahfaZN/YUHt+JKdDu28AR435tpuoQCVBa8q0kQ0zfFR4ejosXL2LZsmVKieHfYPLtX4gITsato+Gwczcptt+r+wmo3tQBzlXMIdET4/Kel9g6/TZGLKsPU2sDNUWrWi8fJ+DCoRA4eZq9t6+BkQ5+XNfmTYPmhl0r3dOHsTj+9xO4VbIstt+2gJs4e/Q5vpjUCBXczHH7SjjmT/oHPwd0god30X9EtcXToFic+PsJXN9zHLb/eQvnjj7DyImN4ORmjjtXw7Fg8j+YFdARHl7afRxcPS0xc1nH/McSSdF/dILuRmHBtH/w6Zd1UbexC84ee4Y53x/Hog094FaxfHx44HtDju8NwKOiLX4L6J//uLj3Rp7I8ET8vugkatQqXwlpgPcSjZx9sPbOIdyKCoaOSIIfGn+Gnb1mocmGL5Gem1XkdslZaWi4fmT+Y0EdwapJ1NNkPDgeAWu34s+JyMdJOLbkARr094R7LRsEn49C4Px76DO3Lqxdi9+2rDKw1EfV3h4wtjcEBAGhF6NwbfkDNJ9WC6YVjAv0l+XKcGnRXeib6qHOF1VhYKmP9LhM6BqVn484rx4n4NKhl3DyKNk99uQ1rfIfa3BqI6Ux1jfEnfBgrL14AHu/mPve/o08/bBx0DSM37UEB+6eQwULO6zs/z1WDZiC3n9OUkPEqmFkpY9afT1h5mAICMCzc6/xz6L76PJzHVg4F3xvPL8YhZvbn6PR8Cqwq2yG5NcZuBDwCABQd2AldYevEi8exeHMgWdwrlj8l1BfzWoMaY4s/3FqcjamDz2KOs3L3z1FmSXW3MVoz549sLa2RosWLTQWQx7O+VZK2Rm52P/bfXQaVRUGxsX/ge8+wQe1OznD3tMUNs7G6DSqKgRBQMjdBDVFq1pZGbnYMOc6+o2vCSMT3ff2F4kAMyuDNz+W2vuh4W0Z6TlYOuMsvpjUCMamxWfkzx59hl6f+6JWI2fYVzBF+15VUKuRMw5sfaCmaFUnMz0Hy2ecw4iJDWHynuNw7sgz9PzMD/7/Pw7telaBf8MKOLj1oZqiVR2JRARLa6P8HzOLos/zA9vvo1YDZ/Qa6AcXD0sMGFkHnt7WOLRL+48DwPdGHr435CQSEaxtTPJ/LCyNiu0vlcowc8rfGPJlMzhWKD5pqW14LwH03fsTtj08icdxr/Ag9gXGHPsNLmZ2qGFf/IdDQRAQnZ6Y/xOTnqiegFUsOzMXx5c9QMuRVaD/nnPi7uFQuNa0Qq1ubrByNkb9Tzxh62mKe0fC1BSt8jnUtIa9nxVM7A1h4mCEqr08oKMvQcLzwiuWXp1/jZy0XNQdVQ1Wlc1hZGMAG28LmLtoZ/LxXVkZudg89yb6jKsBQ9P332PjnXts03Jwj33kwSX8uD8A++6cKVH/hp4+CImLxLJ/diAkLhIXnt1BwLl9qOdeTcWRqpZLLRs417SGmYMRzByN4N/HEzoGEsQ8Lfy9EROcBLvK5vBsZA8TW0M4+VrBo6EdYot4L2mbzPQcrJp9GZ9/WwfGJsXfU5mY6cPc2jD/5+H119AzkKBuCybfyjuZTIY9e/agR48e0NHR/JcyTL6V0tE/H6NibRt41PjwqpScbClkUgEGJUhUaYMdy+6gen0HVKllV6L+WRlSTBtwFD/2P4o/p11GZEj5+COwZuFl1GrkDL+6Tu/tm5Mtg+47Jd96ehI8uhulqvDUZs3CK/BvWKFkxyGnkOOgr4PH5eA4RIQmY1CXLRjRazsWTvsHMa9Ti+z7+H40atRVHE7o38AZj+9FqzpMteB7Q47vDbmwVwno0XYJ+nRegZmT9yEqMqnY/usDzsHSyghdetZUT4BqxHuJgsz05BUcCZlFXzMBwFjPEDeHrsXtYeuwsdtUeFu7qiM8lTu7+gnc/W3gUoIhk6+fJMHlneGYLjWs8Dq4fNxXCTIB4VejIc2WwrJi4VVfUbfjYOlphntbnuLo+Es4Pe06gg+9giArH7WQu5bfRdV69vCuZVui/tkZUsz89DhmDDiGNT9dLTf32B/i0vP7cLG0R8fqDQEAdqZW+Mi/JQ7fv6jhyJRHJhPw4lIUcrOksK1c+HvDtrI54kJSEPtMfg6kRGcg/E48nIsZpqpN/lpyE34NnFCtjsMHb3vu8AvUa+UKfUPNJ2P+M8Ri5fx8oIsXLyIiIgK9e/dWwYv6cGX6jIuMjMTSpUsxZ84cTYei4MG513j9LAWDF9Qt1fb/bHgKE0t9eNTQ/m/wb/wThtDgJHy3onmJ+tu7mKL/t/6o4GGGjLRcnNoVjEVjz2LK6tawtDVUcbSqc+H4czx/HIdf15RsXo0a9Z1wcNtDVKvpAPsKprh3PRJXzryETMtvFi+ceIEXT+Lwy+qSH4dD2x6gak172Fcwxf3rkbhaDo6DV3U7jP2xGSq4miM+LgPb1tzE5C8OYulfvWBkXPDbucS4DFhYKZ7/FpaGSIhLV1fIKsP3hhzfG3LVfJ0wZWZXuLhbIS42FetXnsOoIRuxcdcIGBnrF+h/91YoDu27g7Xbh2kgWtXivURBIogwu8VwXAl/gEdxL4vs9zQhHGOPLcHD2Bcw0zPGV3V64XDf+Wiy8StEpsapMWLlCr4QhZgXKfh4Tp0S9U9PzIahuWLy1chcD+mJRQ/X1QbJYWk4P+cWZDkySPQlqPNVdZg6FRxWBwBpsZnIeJSICg3sUH+sD9KiM3Dvr6eQSQV4d3NTc+TKdfN0OMKfJmH8spLNSWXnbIJPJtSEk6cZMtJy8M+uZ1g6/jwm/tkSFlp8j/2hLj6/iwHrfsL2YbNhoKsPXYkO9t89h1Hb5ms6tH8tITQVgdNvQpojg46BBC3G+cCikOHYAODZyB5ZKTk4MvMWBACCVIBXayf4dtfu9wUAXDn5Ci+fJODHlW0/eNvnQXEIf5GEQd+X7m8vlZKGhp02adIEjx8/1shzF6ZMV74lJSVh3759mg5DQXJMJo6vfoLuE6pDpxSTVV7cHYKH56Pw0WTfUm1fliREp2P37/fw+eTaBSo0iuJRzQr127rCuZIFKtewwbCf6sPEQh8XDr1QcbSqExuVhnWLr2Ls9GbQ0y9ZPnvwuPpwdDbF2H570a/5RqxZdBktO1eGSIsn54iNSsOGxVcx5qem0NMv2fkwaGw9OLiYYXz/fRjQYhPWLrqCFp0rafVxAIDajVzQuLUn3Ctbo1YDZ0xb1B5pKVm4cFJ7z/PS4HtDju+NNxo0qYSW7aqikpc96jeqiHnLP0FqShZOHQsq0Dc9LQuzf/gb30/r9N6hqdqG9xKFm9vqS1SxdsPww/OK7Xc98hF2BJ3C/ZgXuBh+H4MO/Iy4jCR87tux2O3KspTYTJxb/wRtvy7dOVGemDgYovm02mgyxR/uLZxwe+1jpESkFd5ZAPTM9FDjMy9YuJuiQj07VO7sipdnItUbtJIlRGdg7x/3MHBirRLfY7tXs0Ldti6oUNEclfxsMGRaXZiY6+Hi4aIT2eVRVQd3LPl4PGYeXovacwah/dKxcLdyxMr+EzUd2r9m5miELj/XQacZteHdugIuBDxCYnjh743XDxNwb/9L1B9UGV1m10aLsdURdjsOd/eGqDdoJYuPTse25TcxfGoD6Jbwnupt5w8/h7OnOTyrlo8KQNIuGq18O3nyZLG/Dw0NVVMkJRf5LAXpSTlYM+FafpsgE/DqYSKuHw7DxJ0tIZYU/uHo8r6XuLT7JfrP9Iedu6m6QlaZV8GJSEnMwrwvT+e3yWQCnt2Lw9m/X+C3w92KPBZ5JDpiOFc0R0wRfzi0wfNHsUhKyMT3gw/kt8mkAoJuR+HI7kfYcvrTAhOKm1sa4Pu5rZGdlYuU5CxY2Rjhr99vwL6C9p4XLx7HISkhE5OGHMxvyzsOR/c8wl//DIT4neNgZmmA735thewsKVKTM2FpY4Qtf9yEvVP5mKslj4mpPpxczREZVvjwDwtrQyTGZyi0JSZkwNJauxMOfG/I8b1RNFMzA7i4WiEstOC8ZeGhCYiMSMKksTvy2/Iq/1rU/gV/7fsSFVy0s+qL9xIF/dryC7TzrItuOyZ9cPVarkyKe9HP4WHhqKLoVC/meQoyknKwY6LiORERlIh7R8LxxZYWEL9TOWBkoYeMpByFtvSkbBhZFKwi1SZiHbF8wQUAFu6mSAxJwfMT4ajxWcFVX/XN9SCWiCB669iYOBohKykbslwZxDplus6gSGFPE5GamI2Fo96s6imTCXh+Lw7n97/A/INdSnSPXaGSOWKLSlyWU5M7fI4Lz+5iwfG/AAD3wp8ibVsmzn8bgKn7A/A6WXurYyU6Ypg5yO8NrT1MEfs8GUFHwtBwqHeBvrd3hcCzsQMqt5RPdWHpYoLcLCkurX0C3+5uCu8ZbRLyOB7JCVmYOfxYfptMJuDJ3Ric2vsUAcc/KnBPlScrIxdXT4Wi++DCVwwmFVLSaqfaTqPJt1GjRkEkEkEQih5GU9a+5XevYYlhS+ortB1a9hDWFYzRoJdbkX8IL+15iYu7XuCTn/zhWOn9qxVpA29/W0z+s5VC218LbsLexQRt+nq996YAkH8AjQhJRvV69qoKU+V86zhh4abuCm2//3weTm7m6DHQt9iV/PT0dWBtq4PcXBkun36JRq3dVRyt6vjUdsT8Td0U2v74+QIquJmj20CfIv8QAoCevgRWtsbIzZXhyumXaNjKXcXRqldGeg5eh6egRYfCh314+9jh7rVwdPvkzc3A7avh8PYt2TyKZRXfG3J8bxQtPT0b4WEJaG/jW+B3rh422LBruELbquVnkJ6ejbHft4Wdg/b+LeW9hKJfW36BTpUaosfOyXiV/OHzGopFYlS1ccOJFzdUEJ16OPta4pMF9RTaTv0RBAsnI9Tq7lYg8QYADl7mCLsXjxqd30waHnY3Hg5FzAGlrQRBgCy38M8KVpXMEH4lGoJMyE8mpEVlyJNyWpp4A4DKNW3xfUALhbatC2/DzsUErftUKvE9duSLFFStp933Eh/KSM8AuVKpQptUJn9c1j5X/muCfMXfwuRmSyF65y2Q9x4RAGjrkaha2x4z1rZXaFs39yocXM3QsV+VYu+prp0ORU62FA3bav/QW63D5BsADSffbG1t8dNPP6FNmzaF/j4oKAi9evVSc1TF0zfUgd07S7/r6ktgaKqb375/8QOYWuuj5afylbou7QnB2S3P0X2CD8ztDJCaIJ+LQ89AAj0tnujRwEgXTh6Kc43oGUhgbKaXvxz6xrk3YGFjgG5DqwMAAjc9gntVK9hWMEZGag5O7AhGQlQ6GnbU3ougobEuXCsqVl/oG+rA1Fw/v33ZzHOwsjXCgC9rAwCCH8QgPiYd7pWtEB+Tjh1rbkMQBHQfoL3fxBga68LVU/E4GBjqwMRMP799+axzsLIxQv8ijsOutfLj0E2LjwMArFt6BXWbuMLWwQTxsenYuuoGxGIRmrWrCAD4bcZpWNsa47Ov5PNNdO3rgx++PIh9f91FncauOHf8GZ4FxWLUpCaafBn/Gt8bcnxvvLFi0Qk0alYZDo7miI1Jxdo/zkIsEaN1B/kqdLOn7oeNnSm++Lol9PV14FlJ8UOjial85b5327UN7yXemNvqS/T2bo7P9s9GanY67IwsAADJWenIlGYDAJa3n4DXqXGYfWEDAOCb+p/gRuRjvEiKgLm+CUbV7gVnMztsvn9UUy/jX9Mz1IG1q+I5oaMvgYGpbn77ieUPYWylj4b95X9L/Dq5YN/0m7h14BXca1kj+EIUop+loMWIKmqPX1mCdr+Ana8lDK0MkJspRfiVaMQ9TkKDcfIFNW6teQQDC31U7e0BAHBv4YiQUxG4v+0ZPFo5IS06A8GHXsGjdYXinqbMMzDSgaO7YhJVz0ACY1O9/Pa/5t2EuY0BugyRXz+Pbn4Mt6qWsHGS32P/s+sZEqLT0aCD9t5jA4CxviEq2TrnP/awdkIN58qIT0tGaEIUfun+JSpY2OLzDTMBAAfunseqgZPxRbNeOPrwMhzNbLD443G48uIBIpNiNfUy/rWb25+jQg0rGFvrIydTihcXo/E6KBFtvvcDAJxfGQQjS33U6usJAHD2t0ZQYBis3ExgU9EMKVEZuL3rBZz9rQtN5msLQyNdOHtaKLTpG+jAxEwvv331L5dhaWOE3iP8FPqdP/wc/k0qwMRcu6uDtZIWn3PKpNG7terVq+PBgwdFJt/eVxVXViXHZCp8s3IzMBzSXAF75t1T6Nekrwea9fNUd3hqlRCdjre/ZEpPzcHW324hJSELhia6cKlsgfFLmsHRrXx9S/uu2KhUhW+fsrOl2PrnTURHpMDAUBf+DZ0xZlpTGJuW7z8GcVFpEL91QuRkS7F91a3841CzYQWM+rEpjE2LXzK8rIuNTsOCaf8gJSkT5hYGqFrDAfNWd4O5pbzyLfZ1qsJxqOpnj29mtsTmgBvYtPI6nFzMMXleW7hV/PAVELUN3xty/5X3RnRUCmZM3ofkxAxYWBrB198FARsHwdJKPmF0VGRS+atMKKX/yr3EkBqdAQB/9/lVoX3M0d+w7aF8ehJnU1sIwpvqDgsDEyxqOwZ2RpZIykrFnain6LztOzyJL3vTlShTSmymwj2Vo7c52n5dHVe2Pcflrc9g4WiEjt/5FkjiaZOslGzcWvMYWUnZ0DHUgZmzMRqM84VtdfkXFRlxWXj7IBhaGaD+eF882P4MZ6bfgIGlPjzbVEClji5FPUW5kRCToTB0MD01BzsW30FyQhaMTHThXNkcX//WFA5u2j08vY5rVZye8Hv+498+HgcAWH/pEAZvnAVHcxu4Wr1Z8XLD5UMwNTDC6OYfYWHvr5GYnoJTj29g4t4V6g5dqTKTs3F+ZRAyErOhZ6QDCxdjtPneD07/X/E47Z3rg18PN4hEItze+QLpCdnQN9OFi781/D/20NArUJ/4qPQC9xKvXyUj+F4sJiwo2SKBRKogEjSY3bp+/TrS09PRrFnhq/ikp6fj/v37qFevXqG/L8qGoK+UEV654Gis3X9wlcXB2ELTIZQJMi1MZquKgUT3/Z3+A7JluZoOoUzge+MNJ2Pn93f6DwgMuazpEMqEb4+80nQIZcaPrcp/QqckXiXz7wYAtHKx0HQIZUbnuec0HUKZMHtIDU2HUCY0d9be6YSUrYnjTE2HUCYIwXOUsh9R5clK2Y+maLTyrU6d4pdSNzIy+uDEGxERERERERERlQGc8w0AwKNARERERERERESkIto7Qy8REREREREREZVdXHABAJNvRERERERERESkChx2CoDJNyIiIiIiIiIiUgURk28A53wjIiIiIiIiIiJSGVa+ERERERERERGR8rHyDQCTb0REREREREREpAqc8w0Ah50SERERERERERGpDCvfiIiIiIiIiIhI+TjsFACTb0REREREREREpApMvgFg8o2IiIiIiIiIiFSByTcAnPONiIiIiIiIiIhIZVj5RkREREREREREysfVTgGw8o2IiIiIiIiIiFRBJFbOjwalpqbixIkTePbsWan3weQbERERERERERERgLFjx2Lz5s0AgMzMTPTu3Rvjxo1Dt27dcPTo0VLtk8k3IiIiIiIiIiJSPi2sfLt+/Trq1KkDADh+/DgEQcC1a9fwww8/4I8//ijVPj/4FQiCgIiICGRlZZXqCYmIiIiIiIiI6D9AC5NvKSkpMDc3BwCcO3cO7dq1g6GhIVq0aIGXL1+Wap+lSr61a9cOkZGRpXpCIiIiIiIiIiL6D9DC5JujoyNu3bqF9PR0nDt3Do0bNwYAJCcnQ09Pr1T7/ODVTsViMdzc3JCYmFiqJyQiIiIiIiIiIiqLPvvsM3z33XcwMjKCo6Mj6tevDwC4du0avLy8SrXPD06+AcA333yDefPmYfr06aV+YiIiIiIiIiIiKsfE2rfUwIABA+Dn54fXr1+jUaNGEP//Nbi4uGDcuHGl2mepkm8TJ05ERkYGunfvDl1dXRgYGCj8/urVq6UKhoiIiIiIiIiIygeRSKLpEErF19cX3t7eCAsLg6urK3R0dNCiRYtS769UybcpU6aU+gmJiIiIiIiIiIjKooyMDMyaNQv79u0DABw9ehQuLi6YNWsW7O3tMWLEiA/eZ6mSbz179izNZkRERERERERE9F+h5sUSlGHhwoV49OgRNm7ciOHDh+e3N2zYEMuXLy9V8q3UR+HVq1f47bffMGHCBMTFxQEAzpw5g+Dg4NLukoiIiIiIiIiIygstXO305MmTmDZtGurUqaPQXrlyZbx69apU+yzVK7h69Sq6du2Ku3fv4tixY0hPTwcAPH78GMuWLStVIEREREREREREVI5oYfItPj4e1tbWBdozMjIgEolKtc9SvYKFCxdi3LhxWLduHXR1dfPbGzRogNu3b5cqECIiIiIiIiIiIk3y8fHB6dOnC7Tv3LkTNWvWLNU+SzXn25MnT7BgwYIC7VZWVkhISChVIEREREREREREVI6INTPnW1RUFObPn49z584hIyMDbm5u+OWXX+Dr6/vebcePH4/hw4fj6dOnkEql2LhxI549e4Zbt25h06ZNpYqnVEfB1NQUMTExBdqDgoJgb29fqkCIiIiIiIiIiKgc0cCw06SkJPTr1w+6urpYtWoVDh06hIkTJ8Lc3LxE29epUwd///03pFIpvLy8cOHCBVhZWWHbtm3w8fEpzVEoXeVb586dsWDBAixZsgQikQgymQw3btzA3Llz0aNHj1IFQkRERERERERE9G+sWrUKDg4OmDNnTn6bi4vLB+3D1dUVs2fPVlpMpap8Gz9+PDw9PdGiRQukp6ejc+fOGDhwIPz9/fHll18qLTgiIiIiIiIiItJSGqh8O3XqFHx8fPD111+jYcOG6NGjB3bs2FHi7atWrYq4uLgC7QkJCahateoHxZKnVJVvenp6mD17NkaNGoUnT54gLS0N1apVg7u7e6mCICIiIiIiIiKickZJK5VmZ2cjOztboU1PTw96enoF+oaGhmLr1q0YPHgwvvjiC9y7dw+zZ8+Grq4uevbs+d7nEgShyBjeXnT0Q5Qq+bZ8+XIMHToUjo6OcHR0zG/PzMzE6tWrMXr06FIFQ0RERERERERE5YSSFlwIWBmA5cuXK7SNHj0aY8aMKdBXEAT4+PhgwoQJAIBq1aohODgY27ZtKzb5tnHjRgCASCTCzp07YWRklP87mUyGa9euwdPTs1Txlyr5tmLFCvTr1w+GhoYK7RkZGVixYgWTb0REREREREREpBQjR47E4MGDFdoKq3oDAFtbW1SsWFGhzdPTE0ePHi32OdavXw9Anrzbtm0bxG8lDnV1deHs7IwZM2aUIvpSJt8EQYBIJCrQ/ujRoxKvHkFEREREREREROWYkoad6ukWPsS0MLVq1cKLFy8U2kJCQlChQoVitzt16hQA4NNPP8Xy5cuVmt/6oORb3bp1IRKJIBKJ0L59e4UEnFQqRXp6Oj755BOlBUdERERERERERFpKScm3D/H555+jX79+WLlyJTp27Ii7d+9ix44dmDlzZom237Rpk9Jj+qDk25QpUyAIAqZMmYIxY8bA1NQ0/3e6urqoUKEC/P39lR4kERERERERERHR+/j5+WH58uVYtGgRVqxYAWdnZ0yZMgXdunUr0faTJ08u9vdz5sz54Jg+KPmWNzGds7MzatWqBR2dUo1aJSIiIiIiIiKi8k4DlW8A0LJlS7Rs2bJU2yYnJys8zs3NRXBwMJKTk9GgQYNS7bNU2TNjY2M8e/YM3t7eAIATJ05gz549qFSpEkaPHl3icbhERERERERERFROaSj59m+sWLGiQJtMJsP06dPh4uJSqn2WKvk2bdo0jBgxAt7e3ggNDcX48ePRrl07HDlyBBkZGfjhhx9KFYyydHCrp9HnL0vsde01HUKZIMS91HQIZYMg03QEZUd6pqYjKBt0jTUdQdkgYSV3HuHWPU2HUCZUcOECUgCQHpeu6RDKDDtDiaZDKBMcjHi9BAB3MxtNh1Bm6BrqajqEMsHKQPsSDKpwLzZG0yGUGU0cNR1B2SAUXKuzVJS0m1ITi8UYNGgQPvvsMwwfPvzDty/Nk4aEhKBq1aoAgMDAQNSrVw8LFy7EnDlzcOzYsdLskoiIiIiIiIiIqEwKDQ1Fbm5uqbYt1VdXgiBAJpNX0Fy6dAktWrQAADg6OiIhIaFUgRARERERERERUfkhKGn0lUiNpW/vLqggCAJiYmJw+vTp/LUQPlSpkm8+Pj74448/0LBhQ1y7dg3Tp08HAISFhcHGhiXYRERERERERET/dTIlJd/Eaky+PXz4UPG5xWJYWVlh0qRJ6N27d6n2Wark25QpU/Ddd9/hxIkT+OKLL+Dm5gYAOHr0KPz9/UsVCBERERERERERkSZt2rRJ6fssVfKtSpUqOHDgQIH277//HmIxJ5okIiIiIiIiIvqvE8BF/4BSJt+Koq+vr8zdERERERERERGRllLWsFN1io2Nxdy5c3Hp0iXEx8dDEASF3wcFBX3wPktd+SYqZra70gRCRERERERERETlhzZWvk2aNAmRkZH46quvYGdnp5R9lir5tnz5coXHubm5CAoKwt69ezFmzBilBEZERERERERERKRON27cwJYtW1C1alWl7bNUybc2bdoUaOvQoQMqVaqEw4cP4+OPP/7XgRERERERERERkfbSxmGnjo6OBYaa/ltKXR2hZs2auHz5sjJ3SUREREREREREWkgQZEr5UacpU6Zg4cKFCAsLU9o+lbbgQmZmJjZu3Ki08bBERERERERERETqNH78eGRkZKBt27YwMDCArq6uwu+vXr36wfssVfKtbt26CgsuCIKAtLQ0GBgYYP78+aXZJRERERERERERlSMyLVxwYcqUKUrfZ6mSb5MnT1ZIvolEIlhZWaFGjRowNzdXWnBERERERERERKSd1D1kVBl69uyp9H2WKvnWq1cvZcdBRERERERERETliLYsuJCamgoTE5P8/y9OXr8PUeLk26NHj0q80ypVqnxwIEREREREREREROpWt25dnD9/HtbW1qhTp47CaM88giBAJBIhKCjog/df4uRbjx49IBKJ3rvcamkDISIiIiIiIiKi8kPQkjnfNmzYkD+N2saNG5W+/xIn306ePKn0JyciIiIiIiIiovJJW4ad1qtXT+H/s7Ky8PjxY8TFxUEm+/evocTJtwoVKuT/f0BAAKytrfHRRx8p9Nm1axfi4+MxYsSIfx0YERERERERERGROp09exYTJ05EQkJCgd+VdrSnuDSBbN++HZ6engXaK1eujG3btpVml0REREREREREVI4IkCrlR51mz56NDh064Pz583j06JHCT2mnWSvVaqcxMTGwtbUt0G5lZYWYmJhSBUJEREREREREROWHtgw7fVtsbCwGDx4MGxsbpe2zVJVvjo6OuHnzZoH2GzduwM7O7l8HRURERERERERE2k0QZEr5Uaf27dvjypUrSt1nqSrfPv74Y/zyyy/Izc1FgwYNAACXLl3C/PnzMWTIEKUGSEREREREREREpA7Tpk3D2LFjcePGDXh5eUFHRzF19tlnn33wPkuVfBs2bBgSExMxY8YM5OTkAAD09fUxbNgwjBw5sjS7JCIiIiIiIiKickQG7Rt2evDgQVy4cAF6enq4evWqwu9EIpH6km8ikQjfffcdvvrqKzx79gwGBgZwd3eHnp5eaXZHRERERERERETljLqHjCrD4sWLMWbMGIwYMQJicalmayugVMm3PMbGxvDz81NKIERERERERERERJqUk5ODTp06KS3xBpRywQUiIiIiIiIiIqLiyASZUn7UqUePHjh8+LBS9/mvKt+IiIiIiIiIiIgKI2jhnG8ymQyrV6/G+fPn4e3tXWDBhcmTJ3/wPpl8IyIiIiIiIiIipVN31ZoyPH78GFWrVgUAPHnyROF3IpGoVPtk8o2IiIiIiIiIiAjApk2blL5PJt+IiIiIiIiIiEjptHHYqSow+UZEREREREREREqnjcNOVYGrnRIREREREREREakIK9+IiIiIiIiIiEjpBA1Uvi1btgzLly9XaPPw8MCRI0fUHkseJt+IiIiIiIiIiEjpZBqa861y5cpYt25d/mOJRKKROPIw+UZEREREREREREqnico3QJ5ss7W11chzF4bJNyIiIiIiIiIiKrOys7ORnZ2t0Kanpwc9Pb1C+798+RJNmjSBvr4+atasiW+++QZOTk7qCLVQTL4REREREREREZHSyQRBKfsJCAgoMI/b6NGjMWbMmAJ9/fz8MGfOHHh4eCAmJgYrVqzAgAEDcODAAZiYmCglng/F5BsRERERERERESmdTEnDTkeOHInBgwcrtBVV9da8efP8/69SpQpq1KiBli1bIjAwEB9//LFS4vlQTL6VwtqV57A+4LxCm6u7FTbvHVlo/zMnH2PzmosID01Abq4Mzq6W6PtpPbTv4quOcFUqKioR8xcdwLnzQcjIzIGbqw1+mdUPvj6uRW5z5Wowfp3/N4KfRsLRwRJfjmyLXj3qqzFq5YuKScWCgHM4eyUEmZk5cK1ggV8mtYNvFYf3bnvzXjg+HbsTlT1ssG/NQDVEqzry43AeZ6++fHMcJraFbxX7QvtfuRWGz8fvLtB+bvcw2FobqzpclYqKTcOC1Zdx9mooMrNy4epkjl++bQFf76LnHcjOlmLF5hs4cDIYMQnpsLUywqiBtdG7QxU1Rq5cPCfkomJSsOCPczh75QUyM3Ph6myBXya3L9k14m44Pv16u/wase4zNUSrOq2/PY6IuIwC7f1auWPap34F2oPDk7Fs72M8CElERFwGJvWrjs/bVVRHqGp1bOtj/L3mAVr2qoiPvqpRZL/01GwcWPsQt8+HIz0lB1Z2Ruj9lR986r//PCqrvm3WD92qNYWXrSsyc7Jw+dUD/HhsFYJjQ4vcZlCdzuhfsy2q2XsAAG5HPMFPx9bgRvgjdYWtcud2vsCJjU/RoJsrOg73LrTP9aNhuHMqEtEvUwEATpXM0PqzSnD2MldnqCp1ducLHN8QjIbdXNFpROF/Cx9cjMLZHS8QH5kOaa4M1k7GaNzTDTVbaW5okTJsW30T29fcVmir4GqO5dt7F7nNhZMvsPXPm4h+nQpHZzN8NqoOajdyUXGkqvV964Ho4dsM3nZuyMjJwuWQ+5hy8A88iSn6GgEAvWu0wPQOw+Bm5YCnsWGYcnAljgRdVlPUqndtbwgu/PUcNTs7o8VgryL7PbkYjUvbniM5JhMWjoZoMrAiPGrZqDFS1eJx+G8pbojp+5iZmcHd3R2vXr1SclQlx+RbKXlUtMGilf3yH0sk4iL7mpkb4NNhjeDqbg1dXQkunnuKX6cfgqWVMeo18lRHuCqRlJSOfp8uQf16lbFq5UhYWprg5csYmJsZFblNaFgcRo5ahU/6NMKCXwfi0pVgTP1pO2xtzdC0cVU1Rq88SSmZ6Dd6O+rXdMaqeT1hZWGIkLBEmJsavHfb5JRMTPzlKBrUckVcQroaolUd+XHYgfr+zlg1t/tbx0H/vdsGbvoMJkZvLqTWlkWfQ9ogKSUL/cbtQ/0aTlj1SydYmRsgJDwJ5qbF/7EYN/s44hIyMPub5nB1MkdMfBo0ND+pUvCckEtKyUS/r7ahvr8LVs3vBSsLI4SEJZT8GvFzYLm4RgDAzmnNIH1r6EFwWAqGLriEDnUL/5CcmSWFi60R2td1wq9b76srTLV6+Sge5w+9QAXP4hMmuTkyLPv+PEwt9DFsWgNY2BggPiodhia6aopUNZq418CfV/7GjfDH0BGLMb3tMOwfNA+1lwxGek5mods086iBnXdP4cqrB8jMzcaEZv2wf9A81Fk6BJEpsWp+BcoX/iQJ14+Ewd69+GExIfcS4NvMAS5VLaCjK8b53SHYNO0mRq1oCDPr919fyrqwJ0m4diT0vcfByEQXzft4wMbFGDo6Yjy+GoO9ix/A2FwPlWtr94drF08LzFjaIf9xcZ83Ht2NwqKfTmPgF3VQp4kLzh19hl8nnsSC9d3hVtFSHeGqRNOKNfHHhb248SoIOhIJZnYaiUMjF6HGvE+Rnl34NaKBuw82DfwJUw//icMPLuKTWm2wa/AvqL9oKB68fqHmV6B8r58m497xCNi4Ff/eiHiUhMDFD9B4gCc8a9vg0bkoHJh3D/3n1YWNq2aG3SkTj4P2UNaw038jLS0NoaGhGl2Agcm3UpJIxLC2Kdmb1b+Om8Ljj/vXxZED93D3VqhWJ99WrT0JBwdLzJndP7/Nxdm62G227bgA5wpWmPRdDwBAxYoOuHHzOdZvPKO1ybfVW67B0dYEcya3z29zdizZt87TF51ElzZVIBaLcPL8M1WFqBart1yHo50p5kxql99W0uNgbWEEsxIkZLTF6u235efEdy3z25wdzYrd5ty1V7h2NxLHN/aDhZn8Q5Ozg6lK41Q1nhNyq/+6Kj8OU958gHJ2KuE1YsEJdGlbVX6NOPdUVSGqjZWZ4r/pqkNP4WpnhLrehf/t8PW0hK+n/EPjop0PVR6fumVm5GL9nOvoP74WjvxVfNXWpSMhSE/JwbdLW0CiI/8Abu2gvdWgeXpsnKTweOTuuXg5ZS/8K3jhQsjdQrcZsvMXhcdf7V2A7tWaomVFf2y5fVxlsapDVkYudi+8j25jquHs9uKTBB99qziCovuYagi6GIXnd+K1vuorKyMXuxbcQ48x1XF62/Ni+3r4WSk8btjdDbdOReDlw0StT75JJGJYWpfsy6eDOx7Cv74zeg6Unxf9R9bGnWsROLzrIb6c2FiVYapU1z+/VXg8bOsviJh1ALWcvXH++Z1CtxnT9CMcfXQVi/7ZCgCYfmQNWnvXxZdNemH0roUqj1mVsjNycWTJA7T5ogqu7Aoptu+tw6Fwr2mFOt3ln0Ub9fPEq7vxuBMYhtYjtXdUBcDjoG1kUH/ybe7cuWjZsiWcnJwQHR2NZcuWQSwWo0uXLmqPJU/RX59QscJeJaBn22Xo2+UPzJzyN6Iik0q0nSAIuHElBKEh8ahRu+ihmdrg1D/34VPdBV9PWIeGzaaix0fzsWPXpWK3uX0nBA0bKJYEN2lcBbfvhKgwUtU6deE5fKrYY+y0g2jUfSV6Dt2MHQfuvXe73YcfIDQiCaM+b6CGKFXv1MUX8PG2w9ifDqFRjz/Rc9gW7DhYskqVHsP+QtNeqzDkmz24eS9CxZGq3qlLIfDxssXYmcfR6OMN6PnFLuw4HPSebV7Cx8sWa3bcQbNPNqH9oG2YG3AJmVm5aopa+XhOyJ06/ww+3vYY++MBNOr6O3oO2Ygd+wtPKrxt96H7CI1MwqhBDdUQpfpl58pw4FIYejV1hUgk0nQ4GrFj6W1Ur++AKrXt3tv37qVIeFSzwvaltzHpo0OYPewEjmx5BJlU898mK5OZgTyhmJCeXOJtjHT1oSvRQXxGiqrCUptDKx+hch0bVKxZ/JeZhcnJkkIqFbS+GhIADv4RBK+6H34cBEHAs9txiA1Lg7uP9lZ75YkMTcaQrlvxRe8d+O2n04h5nVpk38f3o1HjnSrimvUr4Mn9aFWHqVbmhu+/RtR398Gp4OsKbccfXUUDdx+VxqYO/6x+Ao9aNnB9J+lcmNdPkuDyTj+3mlaIfFLy62tZxeOgXWSCoJSfD/H69WtMmDABHTp0wLhx42BhYYEdO3bAyur954yqsPKtFKr5OGHyzM5wdbNGXGwq1gWcx+ghm7Fh1zAYGRdeqZGakone7ZcjO0cKiViE8ZPbo24DDzVHrlyhYXHYuv0CBn/WAl8Mb4t7919h9pw90NWVoGf3eoVuExubAhtrxWoeG2tTpKZmIjMzGwYGpRvDrUmhkUnY+vddDPq4FkYOrId7j17j56X/QFdXjJ4dqhe6TUhYAhb9eR6bl/WBjk75yIGHRiRh69/3MKiPP0YOrIt7j6Lw89LT0NURo2eHaoVuY2ttjOkTWsHH2w7ZOVLsOvQAn43bje1/9EV1r/d/GC2rQiNTsPXAQwzq7YuR/f1x73E0fl5xQX4s2hU+d09oZDJu3H8NPT0Jlk9vj4SkTMxYdg6JyZkKFXTahOeEnPwacQeD+tTGyE/ryY/Dkn/k18qORVwjQhOwKOAcNi/vW26uEe86eTMSKek56NlYu7+IKq3r/4QiNDgR3/9esvd3XGQantyKQd3WLvjql0aICU/D9qW3Ic0V0Pkz7awcf5dIJMK8TqNw8eU9PIwOKfF2s9qPQGRKHP55dkN1wanBvbOvEfksBSMWFX4P9T7H1wfD1EofnjU198FCGe6eiUTEsxR88VvJ5wPOTMvB/M/PIjdHBrFYhC5fVkUl/w9PYJYllavbYszUpqjgZo6E2HRsX3MbP3x5CEs294KhccEEa2JcBiysFIcbW1gZIqGQeTa1lUgkwoLuX+PC87vFDh91MLVCdEq8QltUSjzsTbX7vfH4fBSiX6Sg3691StQ/LTEbRhaK54qRuR7SE7NUEZ7a8DhQSfz222+aDqEAjSffMjMzcf/+fVhYWKBSpUoKv8vKykJgYCB69OihmeCK0KDJm8meK3rZoaqvE/p0+h2njj1Cl56FT5RsZKyPNduGICMjBzeuhGDFwpNwcrYoMCRVmwgyAT7VXTBhnLx0s1pVZwQHR2LbjgtFJt/KI0EmoLq3PSaMaAIAqOZlh+AXcdj2971Ck29SqQzfzgzEmMEN4OGi/d/K5hGE/x+H4fKhDdUq//847L9XZKLF09USnq5vjkEtHye8ikjChp23MO+H9oVuow0EQUB1L1tMGCr/4FCtkg2CQxKw7eDDIpNvMhkgEgELJreC6f+T+JOyG2LsrOP46eumMNDX+OX6g/GckBNkAqpXsceEkU0BANW87BH8PBbb/r5TaPJNfo04hDFDGsHDVbs/KBRn99lXaOprBztL7Z+b6kMlRKdj14q7GDOvCXT1JCXaRpABphb66D++FsQSEVy9LJEYl4ETO56Um+Tbb13Gopq9B9qs+rrE23zTrB8+8m2JjmsmICs3R4XRqVZSTCYCVz3GZzNrlficeNu5nS9w/9xrDPqlTqm2LyuSYjJxeNVjDJpV+4Neh56hDr5a2hDZmbl4fjseR9Y8hpWDYYEhqdqkdsM3CyW4V7KCV3VbjOi5AxdOvkCbbkVPLF+eLe01AdUdPdBy2ShNh6J2KbGZOLPuCXr+6A8dLX6P/1s8DtpJWaudajuNfpp78eIFhg4dioiICIhEItSuXRuLFi2CnZ28uiElJQWTJ08uc8m3d5maGsDF1RLhoQlF9hGLRXD+/4eoyt72ePkiDpvXXtLq5JutrRkqVlRcYc3T0x5HTxQ9nMrGxhSxcYrDQmLjUmBiYqCVVW+AvFKnkrvit6sV3axw7Gxwof3T0rNx/3EUgp5GY9aSfwAAMpkAQQCqt1qMNQt6oUEt7asEsbU2RiU3xZtc+XH4sHmq/KrY44aWDzO0tTJCJVfFxGpFVwscO1f0vDW21kawtzHOT7zJt7GEIACvY9Lg7qx9q9fxnJCTH4dCrhFnirlGPIpCUHA0Zi0+CeCta0SLRViz8CM00PJpC8Jj03HpYQyWjq6r6VA04lVwIlISs/DrF6fy22QyAU/vxeLMvudYEtgDYoniUFwzawNIJCKFdgdXUyTHZyE3RwYdXe2ukFzY5Wt0rNIA7VaPQ0RyyRZNGNu4DyY07Ycu677F/aji5wUr6yKeJiMtMRsB467kt8lkAl4+SMDVg6H4cU/rAudEngt7QnB+dwg+m1ULDh7aPVdo+P+Pwx9j36xKmXccrhwMxU972xR6HMRiEayd5HOjOXqaISYsDWd3vtDq5Nu7jE314eRqjsiwwofKWVgbIjFecQGCxPgMWFobqiM8lVvcaxw6VWuI1ivGIDwppti+r1PiYfdOlZu9qRWi3qmG0yZRz1OQnpSDLd9fy28TZALCgxJxJzAcY7a2KPDeMLbQQ3qi4pcS6UnZMLLQ3jl1eRy0U1lYcKEs0GjybcGCBahcuTJ27dqFlJQU/PLLL+jXrx82bdoEJyftmSg2PT0b4WGJaNe55BMfC4KAnGypCqNSvVr+HngRojiPRMjLGFRwLLqaq2YNd5w9pzj31cVLj1GzhrsqQlQLfx8nvHil+Mc8JCwBTvaFT7BvYqyP/es+VWjbuu8OLt8KxZIZXUo8IX1Z4+/jiBfvJKBDQos+DkV59DQGdtbaPYm4f3UHvAhLVGgLCUuCk33RH4pqVbfH0bPPkZaRA2NDeWl8SHgSxGIRHGy183jwnJDz961Q+HEoYkENE2N97N/wuULb1r23cfnmKyyZ1U1rrxFv23v+FazM9NG8hr2mQ9EIb39b/LCqtULbpvk3YO9qinZ9vQpNLnhWt8L1U2GQyQSIxfLfR4elwtzaoFwk3rpVa4IOa8bjZcLrEm0zvklffNdiALqvn4hbEU9UHKHqedawwlfLFed33Lf4AWycjdHkI/ciE2/nd4fg7I4X+HSGPypU1v5rQ8UaVhj9znHYu0R+HJr2Lvo4vEuQCcjNKV+VFhnpOXgdlozmHSoW+ntvHzvcvR6Brp+8qai+czUCXj7aOWXD2xb3Gofuvs3QdsXXCImPfG//KyH30apybSw7uzO/rbVXHVwO0d5Vs119LTHwnSHpx1cEwbKCEer0cCv0veHgZY7Qe/Go1eVNFeWrO/Fw9Pqw+7CyhMeBtJlG79Zu3bqFCRMmwMrKCm5ubli5ciWaNGmCAQMGIDQ0VJOhFWvFopO4ff0VIiMSce92GKZO2A2xWIQ2/x9i+PPUAwhYejq//+Y1F3Ht8gtEhCUg5Hkstm28gqOH7qNdp8Ln+tEWn3/aAnfuhmDln8fx8lUMDhy6gR27LqF/vyb5fRb+dgDfT96c//iTPo0RGhaHeQv349nzKPy17TwCj97GoM+aa+IlKMWgj2vhzsPXWLnpKl6GJeLA8UfYceAeBrw1BHnhn+cx8ecjAOTfznp52ij8WFkaQV9PB16eNjAy1M6Jkgd97C8/Dpv/fxxOPMKOg/cxoIdffp+Ff17AxF+O5j/esPMWTp5/hpdhiXjyPBa/LDuDy7fC0P+tbbTRoN6+uBMUjZVbbuJleBIOnArGjsNBGNDtzXt+4ZormDj3TdVLl1aVYWGmjynzT+PpywRcuxuBeX9eRu/23lo55BTgOZFnUJ/auPMgEis3XsHLsAQcOB6EHQfuYkBP//w+C1eew8TZgQDK7zUij0wmYM/5UPRo7AIdieJtyMRVNxVWNc3OlSHoVRKCXiUhRypDdEImgl4l4WVU0ZOOawMDI104eZgr/Ogb6MDETA9OHvIEyoZfr+Pv1W8+KDbr6on0lGzsWnEHUWEpuH85Eke3PEazbtq7ajoA/NZ1LD6p0QaDd8xGalY67E0sYW9iCQOdN9Xwq3pPwoy2w/IfT2j6CX5sMxhf7pmPV4mv87cx1tPeIcz6RjqwdzNR+NEzkMDITBf2biYAgD2L7uP4hjcVs+d2vcCpzU/R4+tqsLA3REpCFlISspCVob0L9egb6cDe3VThR1dfAiNTXdi7y7+w2LXwHo6tf3Mczux4jqe34hD/Oh3Roam4sCcEt/+JRI2Wjpp6GUqxfulV3L8ZiejIFDy6G4W5k05CLBGjaVv5e37JjDPY9PubRQW69KmGW5fD8PeWewgLScS21Tfx7FEsOn1U+DQP2mJp7wnoX7sdPts8EylZ6bA3tYK9qRUMdN9cI9b2+wGzO4/Mf7zs3C60q1If45r3hbedK35sPxi1Xargj/N7NPESlELPUAc2riYKPzr6EhiY6sLGVX6NOLr0Ic7/9Sx/G/9OLnh5Ox439r9CfHgaLm1/jqjnKajR0VlTL+Nf43HQTppYcKEs0ugnuszMTOjovAlBJBJhxowZmDlzJgYOHIiFC8vmUtAxUSmYMflvJCdlwMLSCL41nbFy4+ewsJKXu0e9ToZI/CbrnpGZg0W/HEVMdAr09XXg6m6NqbO7onV77f5j6OfriuWLh2LRkoNYsfIonCtYYcrEnujW5c3klzGxyYiMfFPx4eJsjYAVwzFn3j5s3HwGDvYWmD2jL5o21t75anyrOmDZ7K5Y9Od5/L7xMpwdzDF5dAt0bfvmNcXEpSEiWvtXYSuObxUHLJvVGYtWXcTvG67C2dEMk0c3R9e2b5bwjolLQ0TUm+OQkyvF3N/PISo2FQYGuvD2tMHahT3RwN+lsKfQGr7edlg2vR0WrbmK3zffhLODKSZ/2QhdW1fO7xMTl46I6DcJBGNDXaz9tTNmr7iAj0btgYWZPjo0q4hxg7V3WB7PCTnfqg5Y9nM3+TViwyU4O5pj8piW6NrunWtE1H9j1a1LD2MQGZeBXk0LDp2NjMuA+K2VT2MSM9HrpzP5j9ceeYa1R56hrrc1Nk5qrJZ4NSUhOh2it3KTlnZGGPVrY+z+/S5+GX4SFjaGaNGrItr1LXweSW0xon53AMDRYYsV2kfunovNt+SJeWcLO4X5YobV6wZ9HT1s6T9DYZufT23AL6c2qDZgDUqKycTbCwNfDwyDNFfA9l8Vp/to0c8TLfsXXh1VHiTFZOZXfwLyVV4P/B6E5LhM6OqJYeNsjI++8YVvM4di9lL2xcWkYdFPp5GSlAVzCwNUrWGPX1d1gbmlfBhpTFSawueNKn72GD+jBbb8eQObV96Ao4sZJs1tDbeK2j2/8BeNewIATo5aptA+dOsv2HRN/qWVi6W9wgfzyyH38dnmGZjRcThmdR6BpzFh+GjdlGIXaSgPkmMzFUprnKqYo8PY6ri07TkubnkGC0cjdP3eNz9JVV7xOJQ9nPNNTiQImkshfvTRRxg4cGChc7rNnDkTBw4cQGpqKoKCggpuXIyo9PXKCbAcsNf9bw7peZcQ91LTIZQNvPC9kZP5/j7/BbraWymiVBLtrC5UBeFp4XPR/deccuE5AQDdA668v9N/xJrPtPtLU2V5O0H+X+ZjzaqZPDVnH9R0CGXCksE+mg6Bypgvff/QdAhlwsXIn5Syn0aOM97fqQzT6LDTtm3b4tChQ4X+btq0aejcuTM0mBskIiIiIiIiIiL6VzSafBs5ciRWrVpV5O+nT5+OR48eqTEiIiIiIiIiIiJSBhkEpfxoO46pICIiIiIiIiIipeOcb3LavTY9ERERERERERFRGcbKNyIiIiIiIiIiUjoZ5/EHwOQbERERERERERGpAJNvcky+ERERERERERGR0jH5Jsc534iIiIiIiIiIiFSElW9ERERERERERKR0XO1Ujsk3IiIiIiIiIiJSOg47leOwUyIiIiIiIiIiIhVh5RsRERERERERESkdK9/kmHwjIiIiIiIiIiKlk4FzvgFMvhERERERERERkQqw8k2Oc74RERERERERERGpCCvfiIiIiIiIiIhI6Vj5JsfkGxERERERERERKR2Tb3IcdkpERERERERERKQirHwjIiIiIiIiIiKlkwlc7RRg8o2IiIiIiIiIiFSAw07lmHwjIiIiIiIiIiKlY/JNjnO+ERERERERERERqQgr34iIiIiIiIiISOlY+SbH5BsRERERERERESmdlLk3AEy+ERERERERERGRCrDyTY5zvhEREREREREREakIK9+IiIiIiIiIiEjpOOxUjsk3IiIiIiIiIiJSOhmTbwA47JSIiIiIiIiIiMqhP//8E97e3vj55581Ggcr34iIiIiIiIiISOmkGlxw4e7du9i2bRu8vb01FkMeVr4REREREREREZHSyQTl/HyotLQ0fPfdd5g9ezbMzc2V/8I+EJNvRERERERERESkdFJBOT/Z2dlITU1V+MnOzi7yeWfOnInmzZujUaNGany1ReOwUyIiIiIiIiIiKrMCAgKwfPlyhbbRo0djzJgxBfoeOnQIDx8+xK5du9QV3nsx+UZEREREREREREqnrNVOvxg5EoMHD1Zo09PTK9AvMjISP//8M9auXQt9fX3lPLkSMPlGRERERERERERKp6wFF/T09ApNtr3rwYMHiIuLQ69evd7EIJXi2rVr+Ouvv3Dv3j1IJBKlxPQhmHwjIiIiIiIiIiKt16BBAxw4cEChbfLkyfD09MTw4cM1kngDmHwjIiIiIiIiIiIVkMnU+3wmJibw8vJSaDMyMoKFhUWBdnVi8o2IiIiIiIiIiJROqqQ537Qdk29ERERERERERKR0ylpw4d/YtGmTpkOAWNMBEBERERERERERlVflsvItOOm5pkMoM3JMszUdQplgb+eh6RCojNEtn5e/D5YLNU/CQGWeJCVB0yGUCSa6GZoOoUz4rmtlTYdQZvS1qafpEMoEkZm9pkMoE56nP9Z0CGWGpbulpkMoEwZX66LpEMoE/ZsXNB0ClTHKWu1U2/HTJxERERERERERKV1ZGHZaFnDYKRERERERERERkYqw8o2IiIiIiIiIiJSOq53KMflGRERERERERERKJ+OcbwCYfCMiIiIiIiIiIhVg5Zsc53wjIiIiIiIiIiJSEVa+ERERERERERGR0nG1Uzkm34iIiIiIiIiISOk47FSOw06JiIiIiIiIiIhUhJVvRERERERERESkdDKOOwXA5BsREREREREREakAh53KMflGRERERERERERKx8I3Oc75RkREREREREREpCKsfCMiIiIiIiIiIqXjsFM5Jt+IiIiIiIiIiEjpZAKzbwCHnRIREREREREREakMK9+IiIiIiIiIiEjpOOxUjsk3IiIiIiIiIiJSOimHnQJg8o2IiIiIiIiIiFRAKtN0BGUD53wjIiIiIqL/tXffUVFc7xvAH7pIFQREUEBQQFFERWNU7L3EWGISY2KssWCvSX5qbFGjxgLGEoPR2BJRo6ixRBO7iD0qNkCwUURUitL298eNjAuImu/uDAvP5xzOcWd39fU5L3dn7s7cISIiIi3hmW9ERERERERERKRxvOxU4OQbERERERERERFpXE4uJ98AXnZKRERERERERESkNTzzjYiIiIiIiIiINI6XnQqcfCMiIiIiIiIiIo3j3U4FTr4REREREREREZHG8cw3gWu+ERERERERERERaQnPfCMiIiIiIiIiIo3j3U4FTr4REREREREREZHG8bJTgZedEhERERERERERaQnPfCMiIiIiIiIiIo3j3U4FTr4REREREREREZHGKXHZ6YYNG7Bx40bcvXsXAFC1alUMHToUTZs2lb2WFzj5RkREREREREREGqfE5FuFChUwbtw4uLi4QKVSYfv27Rg2bBi2bduGqlWryl4PwMk3IiIiIiIiIiIqIVq0aKH2ePTo0di4cSPOnz/PyTciIiIiIiIiIio5cnKVvdtpTk4O/vjjD6Snp8PPz0+xOjj5RkREREREREREGpejobm3zMxMZGZmqm0zNjaGsbFxoa+/du0aPvzwQzx//hxly5ZFcHAwPDw8NFPMf6Cv2L9MRERERERERET0GitWrEDdunXVflasWPHK17u5uWH79u349ddf8dFHH2HixIm4efOmjBWr45lvRERERERERESkcZq67HTw4MH4/PPP1ba96qy3F8+5uLgAAHx8fHDp0iWsXbsW06dP10g9b4uTb/+j3euvInTVRbTqXhUfBdYp9DXzRh7EtQuJBbbXfMcRo+YEaLtErfl5xXGsXXlCbVsll3JYs7Vfoa/ftfUi9u26gphbSQCAat4O6D+sMbx8HLVeqzYFB+3GD8F/qG1zc7PHzt1fF/r6vp8uQcTpgjPuTQKq44cVX2ilRrkwC2FpUBiCgnerbXNzc8Afu6cW+vqsrBysWLkX238/ifj4FLi5OWDc2K4IaFJDjnK1JjhoF5YF71Hb5ubmgLDd//fK96z9+RA2bzqC+/cfoVw5M7Ru44fRY7rAxMRI2+Vq1dtm0ffTRThdyO9GQEAN/LBiiFZqlEt8Uhrmh0TgcMQdPHuejcqOlpg9uglqVitf6OsnLTyM7QcKZuFR2Rphy7tpu1xZhK2/gt9WXkCbHtXQO7Buoa/5duSfiDyfUGC77zsVMWZuU22XqDU3/ryLGwfvIS3xGQDAyskMPl1dUNHX9pXvifwjDjcP3kP6w+cwsTBCJX87+PZ0g4GxgVxla0V8whPMX3YIh0/cwrNnWajsXA6zv+6Emt4VC339mQtxmB98EFG3H+LZsyxUrGCFXl390PejBjJXrjlLg3cjaFnB/Yg/wgrfj8jKysGKVfuwfUc44uMfw83VHuPGdEFAk+pylKtVv6wMx/pVp9W2ObtYY9WW3oW+/vath1i3Ihw3IhORcP8pBo1ujPc/9pWjVK0aUa8HOrg3RNVyTniWnYnT9yMx49jPuJVy95Xv6eXdAktaj1Lb9iw7Ey7Lemi5Wu35IegPLF+2T22bq5s9ft81qdDX9/8sGBGnbxXY3iTAG0HLB2qlRrm0GLUH95LSC2z/uFUVTOlb+Hpef5y6g8VbLuNuUjpcHMwx7kMfNK2t28egukRTdzst6hLTN5Gbm1vgslU5cfLtfxAd+RB/77wFZ3erIl83dEYj5GTl5j1OfZKJaf33ol7TStouUetc3W3x3bKeeY8NDPRe+doLZ+LQoq0XavhWhLGxATb9fBoThoVi9W+fwc7eQo5ytcbDwxE//jQs77GB4auv6F68pD+ysnLyHqekpKH7+3PRtp1yiz9qErMQqno4IuSnEXmPDQxffVC4aPEO7NgZjpnTe6NKlQo4cvQKhgeuxKYN41C9um6PE6IfAvMeGxbRD2Fhp/H9wt8xY1Zv+PlVQUxMAr6avA56esDESd3lKFer3iaLRUsGqv1uPE5JQ7f3v0UbHf/dePz0OT4atwsNajli1fQ2sLEqg5h7T2Bl8eodqa8Gv4OxfevlPc7JVeG9YdvRtrGrDBVrX9TVhzi04yYquVsX+brAGY2RnW9f4v/674F/M90eI8ramKD2B1Vg4WAKlQqIPvoARxb9g3Yz6sHK2azA62OOx+PCb1Fo0N8L5ata4umDDJxaFQkAqNNbuXVc/lePn2Tgo8Fr0aCuC1Yt7AWbcmaIiUuGlYXpK99jWsYIvXvUg6eHPUxNjXD2Qhymzt0DU1Mj9Opa+BfCuqCqhyNCfnyz/YhFS8KwIywCM7/5EFXcHHDk2FUMH7kam9aPQnVv3f7dAACXKjaYHdwl73FRWTx7lo0KTpZo3MoDKxcelaM8WTR08kHIxV04H38DBvoG+LJhH2zu+g0CfhmG9Oznr3zfk+dpeHfdS19WKbveu0a4e1TAytXSl9NF9cPCxX3z7WOn44Nu89G6re5PyG6Z3kLtTKobdx6j35yjaFvfudDXn73+EGODwzHmgxpo5ueIsONxGP79CYTObIlqlYo+jifNUOKGCwsWLEBAQAAcHR2RlpaGsLAwhIeHY/Xq1bLX8gIn3/6jZ+lZWDXzJD4bVw9h664U+VpzSxO1x+EHY2FcxkDnd5gBwMBAHzblC+4cF+bLWR3VHo/9vzY4cvAGzoXHok0n3T7Dx8BQH+XtLN/otVbW6nnt2X0GZcoYoU3b2lqoTH7MQjAwNICd3Zt9oP++IxxDBrdD06Y+AICPPwrAiROR+GnNAcyf9/lr3l28GRjqw+4N++H8uWj41amCTp38AQBOTrbo0LEeLl6M0WKF8nmbLKwL/d0wRtu2uj359uOWi3C0M8O3Y5rkbXOuUPSXLxZmxrAwkybnDhy/jSepz9GtdTWt1SmXZ+lZWD7zBPqNr48d6y4X+dr8+xKnDt6GsYkB6jerrM0Stc7JT/2MR9+eVXDz4D0k3XpS6ORb0s3HsKtqBdd3HQAA5namqPyOPR7eeiJLvdry4y8n4OhgiW+/7py3zbmidZHvqe5ZAdU9K0ivd7TG/r+u4cyFOJ2efDMwePOx8vedpzFkUBs0DRD7kR9/2AQnTlzHT2sOYf7cT7VZpiwMDPTeeD/bs4YDPGuI34uQoBOvebXu+Oj3aWqPRx5YjCsDf0Etew+cvPfqcVMFFRLTU7RbnMwMDf77PvYfe86hTBmjEjH5ZpPv83DVzmuobG+G+t6Fn0G/bu9NNK7lgP6dPAEAI3vWwPF/ErB+/y180093x0oq2sOHDzFx4kQkJCTAwsICnp6eWL16NRo1aqRYTZx8+4/WLz6LWu9URPV6FV47+Zbfkd3RqN+iMkxMdT/+u7GP8EHb5TA2MUT1mo7oP7wJHBzf7EPh+bNsZGfnwsKyjJar1L7Y24loHvA1TEyM4FvbFaNGd4ZjRZs3eu/W0JNo36EuypY1ef2LdQCzEG7fTkDjgMkwMTFE7dpVMHb0e6j4ihyyMrNhbKI+HpiUMcLZMwUvF9A1sbcT0Szgy3/7wQ2jRnd5ZQ61/dwQtvM0Ll6MQa1aroiLS8KRw5fRuUt9mavWjrfJIr+tocfRvkMdnf/dOHgyDo3rOmHk7IM4fekBHGzL4qNO3vignecb/x1b9l1Hw9oV4eRgrsVK5bF2UQR8G1ZEjXoVXjv5lt/hXVFo0MKlROxLvJCbq0JceAKyn+egvEfh+xLlPawQczweD289ga27JVITMnD/QjJcGznIXK1mHTxyA40bVMHIL0Nx+nwsHMpb4KPudfHBe28+4X7l2gOcu3QHIwfr7mXIAHA7NhGNm4n9iNq+rhg7qvNrPj/VlyUwKWOEs2ej5ChV6+7GPUbv9iEwNjaEV00HfD68Iexf84VFSWdhLCaVUp49LfJ1ZkamiOj7I/T19HApMQqzj6/FteQ4OUrUmtuxSWjVdBqMTQzh6+uKEaM7wrFiuTd677bQU2jXwU/n9yPyy8zOxY5jsejbvir09Aq/Auv8zYfo276q2rZGtRzw55l7cpRI0NzdTt/G7Nmz5f9HX0PxPbZbt27h/PnzqF27Ntzd3XHr1i2sXbsWmZmZ6NKlCxo2bKh0iQWc+jMWt68/wv8tb/3W7426+hB3ox+j7wR/LVQmLy8fR0yY1g7OrjZITkzD2lXHMWrAJqz+tS/Kmr3+WuxVSw7DtrwZ6jZwkaFa7alVyxUzZ/eGq5s9khKfYFnwHnz6yWJs3zkZZmZFTyxeungbN27cx/SZH8tUrXYxC6FWLTd8O/tTuLnZIzHxCYKDd6H3Jwuxc+fXMC8kh8aNvbFmzUH416uKypXL48SJa9i//zxylPik0qBatVwxa/YncHVzQGLiY/wQvAeffvI9ft/5VaH90KmTP1IepaHPJ98DKhWys3PRq1djDBrcVoHqNetts3jZxYsx//5uFL7Ojy6Je/AUG3dFou/7NTC4ly8uXU/ErOUnYWSoj/dbVX3t++MfpuNIxB3Mn6DbkwsAcPLP27h9/RGmrnj7/r519SHuRD9Gv4m6u7bXy1LiUrF/+lnkZOXCsIwBmoz0gZVT4Wf7uL7rgOepWTgw8xxUAFQ5Kni0qIgaXXR7XyLu3iNs3HYGfT9sgMGfNcKlq/cwa+E+GBka4P2OtYp8b9MuS5Ccko6cnFwM798EPbvo7hmytWq54ttZveHm+u/n5w970PvTxdj5++TCPz8beWPNz4fgX88dlSuVx4mT17H/wAXk5OQW8rfrFs8aDhg7tSWcXayRnJSO9atOY/zArfhh00dvtJ9dEulBDzMDBuDUvSuITI595etuPbqLUQeW4EpSDCxNymJonfcR1nMeAtYPx/3UhzJWrDk1a7lgxqwP4frvvuWKZfvweZ8ghO4Y/0b72DdvPMC0Gb1kqlY+f0bcw9P0LLwf8OrPgKSUZ7DNd7JHeUsTJKU803Z59C8lLjstjhSdfDt8+DCGDh0KMzMzZGRkICgoCBMnToSXlxdyc3PRv39/rF69ulhNwCUnpGNT0FmMmd8MRiZvv7Dv0d1RcK5ihSrer15IWFc0aOSW92f3qnbwrlkBH3dchb/2X0OHrjWLfO/GkFM4tO8aFqz8oMAZP7qmSYC0qK+npxNq1nJBm5bT8Meec+jeo+je3Rp6AlWrVUTNWrp90PACsxBeXP4CAF6egG8tVzRv+TX27DmDnj0Knur81Zc98fWU9Wjf8Rvo6emhUqXy6PZ+Q4Ru1e3LRpq8lIOnpxNq1XJF65ZT8Mees+je490Crw8Pv46VK/fi//6vF2r5uiD2dhK+/XYLfli2B0OGtpezdI172yxetjX0BKpVq4hatVy1XKX2qVQq1KhaHmP+XcOturstbtxOwabdkW80+bb9wA1YmBujZUPdHiceJqRh/dIzGL+gOYz/w77E4V234FzFCu4lYF8CACwcy6LdzHrISs9B7OlEnFwZiZZf1i50Ai7+6iNc2Xkb9T6rClt3SzyNz8DZX27in+0x8OnqKn/xGqLKVaGGlyPGDGkOQFxSeiMqEZu2n33t5Nv65Z8iLT0TFy7fxYJlh1DZ2Qad2ujmch5NX7pRgpenE3xruaB562nY88c59OxecD/iq8nd8PXUTWjfaZb0+dm1AUK3nZKzbK3wbySNc25VAU8fB3zWeS2OHLiJtu/p/g0l/os5zb6Ap21ldNlS+E0GXoh4cA0RD67lPT59PxJHP1mGT33aYe7J9douUysaB3jn/bmap9hfbt9qBvb+cR7dur9T5Hu3hZ5C1WqOJWIfO78tf0ejia8DHMq9en1MouJC0VmPZcuWoX///hg9ejR27dqFcePG4aOPPsLo0aMBiEXyVq1aVawm32KuJePJo+eYPlC620xurgrXLybi4LabWLG/B/QNCl/88nlGNsIPxuG9z33kKldW5hZl4OxSDvfiUop83a9rT2PjmtP47ocecK9qJ09xMrK0LAsXV3vExha8w+3L0tOfY8/usxgW2EGmyuTHLARLy7JwLSIHGxsLLAv6As+fZyElJQ329laYv2A7KjkXvnaFrnpdPyxdsgtdutRHj55iMqpaNSdkZDzHtKkbMfiLttDXf/XCwrrm7X43zmB4YMciX6cr7MqZwqOStdo290pW2Hcs5rXvValU2Lr/Bt5r4QFjI92+q2XMtUd48ug5pg7cm7ctN0eFaxcScGDbDaze/0GR+xKnDsaiW7+iv+TSJQaG+rBwKAsAsHGzQHLUE1zbdwf1Py94OfKl0Bi4vlsB7s3EHUCtK5kj+3kOTodcR40uLtDTf/WNn4ozu/Lm8HBTH/PdXctj36HI1773xdpwnh72eJichqDVh3V28i0/S8uycHV5zefn0oHqn58Ld6CSc8mYmH6ZuYUJnCpb417cY6VLUcTspoPR2q0euoZ++dZnr2Xn5uBSYhTcrErO3S0tLU3h4mqHuNtJRb4uPf059u45j6GB7WSqTD53k9Jw4p8ELB1V9FxBeesyePhE/Sy3pCfPUd5a95c+0hWautuprlP0SObGjRvo1q0bAKB9+/ZIS0tD27bS5RedO3fGtWvXXvV2RXjXdcA3P7XF1B/b5P24epZDg1YumPpjm1fuLAPA6b/ikJWZg4atS963DgCQkZ6Je3ceF7kw7Kafw/HLjycxJ6gbPKtXeOXrdFl62nPExSW9drH9fXvPIzMzG5076/4lyK/CLIS0tGdvlIOJiREcHKyRnZ2LffvPo2XLos920DVpr+mHZxmZBdbreDGmlrTP7Ndl8cLevedK1O+GX3UHRN9VP3CMufsEFe1fv35b+KUHuH3vCbq30f0bLVSv64BZIe0x48d2eT9unjZo2MoVM35sV+S+RPhfscjOysG7rV3lK1hmKhWQm1X4ZYPZmTnQyxfPiwk3XR4m/GpWQnRsstq2mNhkVKzwdnfiy81VITMz5/Uv1BFvOlaqf35eQMsWJWdy+oWM9Ezcv/sYNuXLKl2K7GY3HYwO7u+g+9avEfsk/q3fr6+nD29bF8SnJ7/+xToiPe054mKTXnsDhv17LyAzMxsdO9eVqTL5bP37Nmwty6Bp7aKPKWt72OLE5QS1bcf/iUdtjzdbd5f+dzkqlUZ+dJ3i1/u9ONDS19eHsbExLCykRUTNzMzw9GnRi2nKzbSsEZyrWKttMyljCHNL47ztP84+iXLly6L7IPUD56O7o+DX2AnmViVjocvl3/+FhgHucHC0xMPEVKxZcRz6+npo0c4LADBnyh6UtzPHgEBxV7uNa8Lx8/Lj+HJWB1RwtEJyUhoAkalpWd1du+K7edvRrFkNVHSyQULCYwQv3QMDfT106CjunjN54jrYO1hh9Jguau/bGnoCLVrWgnW5N7uLlS5gFsLceaFo3qwmKjrZIiEhBUuX7oK+vj46dRSX2k2YuAYODtYYO6YrAODChWjEx6fA27sS4uNTsDR4F3JzczGg/9uvK1mcfDdvK5o1q/lSP+yCgb4+OnQUO4CTJ679tx/eAwA0a+6Dn9ccgre3M2r5uiL2diKWLglDs2Y1YVDEZIQueNssXtgaegItW9aCdTndv7kAAPR9vwY+GhuG5ZsvoH0TN1y8lohf91zD9BHS5dgLQiKQ8DANc8epr+sWuvc6fD3tUM31zRaXLs4K3ZcwNYS5lbQvsWLWCZSzM8UHg2qrve7wrijUaexcYvYlzv8ahYq1bFDW1gTZz3IQcyIBCZEpaDZe7EOdWHEVpuVMUPuDKgAAp9q2iPzjDsq5mOdddnopNBpOtW2hr6NnvQFA3w/r46NBP2P5mmNo39IbF6/cw6+/n8P0SdIZ4QuWHUJC4lPMnSo+Q9dviYCjgyWquIoz5iLOxeKnDSfR5wPdnayf+912NG9WAxUrirFyafAe6BvooVMHsR8xYfI6ONhbYexokcGFizGIj38Mby8nxP/7+lyVCgP6tVTyv6ERqxYdQ4MmrnBwtMDDxDT8sjIc+vp6aNpWfAExf+oB2NqZ4fPh4qyfrKwcxEaJyaXsrBw8TEzFrWuJMC1rhIr5zjjWJXOafYFungH4LGwWUrMyYFfWGgDw9Hk6nuVkAgCWth6FB2nJmHV8LQBgTP1eOPPgGmJS7sPSxAzD6nSDs6Ud1l/er9R/43+2YN4ONG1eHY4VbZCY8Bg/BO2FgYE+2v+7j/3VpA2wt7fEyDGd1N63LfQUmrf0KXAXdV2Xm6vCtsO30bVJZRjm20ecuPw07MuZYmwvcbVZn7Ye+HTW3/hp93U0q10Bu07cweWoR5jOO53KpgQsw6kRik6+OTk5ISYmBpUrVwYAbN68GY6O0unA9+/fh52d7l2WmByfXuDsjQexT3DjUhLGzNf9RaJfSExIxawvd+HJ42ewKmcKn9pOCFrzMazLiW/kEh48Ucth55YLyMrKwTcTdqr9PZ8OaojPBhe95lFxFv8gBRPG/YyUlDTY2JjDr4471m8aAxsbMZF8//6jAgcE0dHxOHsmCit/HKpEyVrDLIQHD1IwZlxIXg5167jj103j8+Ug7Sg8f56FRUt2Ii4uCWXLmqBpQA3Mm/sZLC11+9vt+AcpGD8uBCkp6bCxMUedOlWwYdPYl3JIVrtEbPAX7aCnp4clS8KQEP8Y5WzM0ayZD0aO6qzUf0Fj3jYL4MXvxi2s+nGYEiVrRc1qdlj6dUssXHMGyzach3MFc0we3ACdm7vnvSbxUTruJaapve9pWib2HY/Bl4OLXtemJElOSC8wXt6PfYLrlxIxfn4zZYrSgudPMnFy5VVkpGTCyNQQ1pXM0Gx8LTj6iDMS0h8+w8u7VDXecwH09HBxSzQyHmXCxMIITn62qNXD7RX/gm6oWb0ils7pgYU/HMKykCNwdrTG5FGt0bmttFRJ4sNU3IuXzhzNVanw/fK/cOdeCgwM9FHZyRrjhrVAr666e0D5ID4FY8b/rP75uSHffsRLDSE+P8MQd+fhv5+f1TFvTh+d//wEgKSEVMz9el/efnYNX0d8H9ID1v+ubZXw4KnafnZyYhqGf/Jr3uPQX84j9JfzqFmnIuateF/2+jXl81piAnp792/Vto/Yvwibrx4EADhZ2CH3pbNirE3MsaDFcNiblcPjZ6m4kHATnX6biOs6fLfT+PgUTBr3C1JS0lDOxhx+ddywbuNI2NiIL+ceFLKPHROdgHNno7H8x8FKlKxVxy8n4N7DdHRr6lrguXtJ6sfidarZYv7Q+lj022V8/+tluFYwR9DohqhW6e3OLCb6X+mpVMqdv7dx40Y4OjqiWbNmhT6/cOFCPHz4ELNmzXqrv/fo/SkaqK5kcLVwVrqEYsGhbMm81Jf+OyPlT/wtFrLBr6JInUH0WaVLKBZOmWUoXUKx8Mft+0qXUGxMrVrwhjmlkZ6lg9IlFAtR6cVraRwlNVxzQOkSioXbw0reJNd/YXL2mNIlFBt6/rOVLqFYqLK6u0b+nqj+oRr5e5Si6NHnRx99VOTzY8aMkakSIiIiIiIiIiLSpJxc3V+vTRN0exEdIiIiIiIiIiKiYozXXRERERERERERkcaVhDuVagIn34iIiIiIiIiISONyucQ0AE6+ERERERERERGRFqi45hsArvlGRERERERERESkNTzzjYiIiIiIiIiINI5nvgmcfCMiIiIiIiIiIo3j5JvAy06JiIiIiIiIiIi0hGe+ERERERERERGRxqlUPPMN4OQbERERERERERFpAS87FTj5RkREREREREREGsfJN4FrvhEREREREREREWkJz3wjIiIiIiIiIiKN45lvAiffiIiIiIiIiIhI4zj5JvCyUyIiIiIiIiIiIi3hmW9ERERERERERKRxPPNN4OQbERERERERERFpHCffBE6+ERERERERERGRxnHyTeCab0RERERERERERFrCM9+IiIiIiIiIiEjjeOabwMk3IiIiIiIiIiLSOJWKk28ALzslIiIiIiIiIiLSGp75RkREREREREREGsfLTgVOvhERERERERERkcZx8k3g5BsREREREREREWkcJ98ErvlGRERERERERESkJTzzjYiIiIiIiIiINE6JM99WrFiBffv2ISoqCmXKlIGfnx/GjRuHKlWqyF7LCzzzjYiIiIiIiIiINE6Vq9LIz9sIDw9H79698euvvyIkJATZ2dno378/0tPTtfS/fD2e+UZERERERERERCXC6tWr1R7PmTMHDRs2xOXLl+Hv769ITZx8IyIiIiIiIiIijdPUZaeZmZnIzMxU22ZsbAxjY+PXvvfp06cAACsrK43U8l9w8o2IiIiIiIiIiDROU5NvK1asQFBQkNq24cOHIzAwsMj35ebmYvbs2ahTpw6qVaumkVr+C06+ERERERERERGRxqlUmpl8Gzx4MD7//HO1bW9y1ts333yDGzduYMOGDRqp47/i5BsRERERERERERVbb3qJ6cumT5+Ov/76C7/88gsqVKigpcreDCffiIiIiIiIiIhI4zR12elb/ZsqFWbMmIH9+/dj3bp1qFSpkuw15MfJNyIiIiIiIiIi0jglJt+++eYbhIWFYdmyZTAzM0NiYiIAwMLCAmXKlJG9HoCTb0REREREREREVEJs3LgRANCnTx+17d9++y26deumREmcfCMiIiIiIiIiIs1T4sy3a9euyf5vvg4n34iIiIiIiIiISOOUmHwrjvRUmrrvKxEREREREREREanRV7oAIiIiIiIiIiKikoqTb0RERERERERERFrCyTciIiIiIiIiIiIt4eQbERERERERERGRlnDyjYiIiIiIiIiISEs4+UZERERERERERKQlnHwjIiIiIiIiIiLSEk6+ERERERERERERaQkn34iIiIiIiIiIiLSEk29ERERERERERERawsk3IiIiIiIiIiIiLeHkGxERERERERERkZZw8o007uLFi7hw4UKB7RcuXMClS5cUqEgZzEHCLATmQPmxJ+hlgYGBWLlyZYHtq1atwogRIxSoSBkzZ87E2rVrC2z/5ZdfMGvWLAUqUgZzkDALgTkIHCsl7AmBPUG6gJNvGvT333/jyJEjBbYfOXIEf//9twIVKWP69Om4f/9+ge3x8fGYPn26AhUpgzlImIXAHASOlRL2hMCeEE6fPo2mTZsW2B4QEICIiAgFKlLG3r17UadOnQLb/fz8sHfvXgUqUgZzkDALgTkIHCsl7AmBPUG6gJNvGjR//nzk5uYW2K5SqbBgwQIFKlLGrVu3UKNGjQLbvb29cfPmTQUqUgZzkDALgTkIHCsl7AmBPSGkp6fDyMiowHZDQ0OkpqYqUJEyUlJSYGFhUWC7ubk5Hj16pEBFymAOEmYhMAeBY6WEPSGwJ0gXcPJNg27fvg13d/cC26tUqYLY2FgFKlKGsbExkpKSCmxPTEyEoaGhAhUpgzlImIXAHASOlRL2hMCeEKpVq4bdu3cX2L579254eHgoUJEyXFxcCj0T8vDhw6hUqZICFSmDOUiYhcAcBI6VEvaEwJ4gXVB69uxlYGFhgbi4ODg7O6ttj42NhampqUJVya9Ro0ZYuHAhli1blvdNzJMnT/D999/j3XffVbg6+TAHCbMQmIPAsVLCnhDYE8LQoUMRGBiIuLg4vPPOOwCAEydOYNeuXVi8eLHC1cmnb9++mDFjBpKTk9VyCAkJwZdffqlwdfJhDhJmITAHgWOlhD0hsCdIF+ipVCqV0kWUFFOmTMG5c+cQHByMypUrAxDf5gcGBqJmzZqlZtHL+Ph49O7dGykpKfD29gYAREZGwtbWFiEhIXB0dFS4QnkwBwmzEJiDwLFSwp4Q2BOSv/76C8uXL0dkZCRMTEzg6emJ4cOHo379+kqXJqsNGzZg+fLlSEhIAAA4OTkhMDAQXbt2VbYwmTEHCbMQmIPAsVLCnhDYE1TccfJNg54+fYoBAwbgn3/+gYODAwBxYFW3bl0EBQXB0tJS4Qrlk56ejp07dyIyMhJlypSBp6cnOnbsWOi1+CUZc5AwC4E5cKzMjz3BnqBXS05OhomJCczMzJQuRVHMQcIsBOZA+bEniIo3Tr5pmEqlwrFjx9QOovz9/ZUui4ioWOFYSfmxJ4QnT55g7969iIuLQ79+/WBtbY3Lly+jfPnyeROTpUF2djbCw8MRGxuLTp06wdzcHPHx8TA3Ny9VB5bMQcIsBOYgcKyUsCcE9gQVd1zzTcP09PTQuHFj+Pv7w9jYGHp6ekqXpIjt27dj8+bNiIuLw+bNm+Hk5IQ1a9bA2dkZrVq1Uro82TAHCbMQmIPAsVLCnhDYE+KS488//xwWFha4e/cuevbsCWtra+zbtw/379/HvHnzlC5RFnfv3sWAAQNw//59ZGZmolGjRjA3N8eqVauQmZmJ6dOnK12iLJiDhFkIzEHgWClhTwjsCdIFvNupBuXm5iI4OBhNmjSBn58f7ty5AwBYtGgRfvvtN4Wrk8+GDRswZ84cBAQE4MmTJ8jNzQUAWFpa4ueff1a4OvkwBwmzEJiDwLFSwp4Q2BPCnDlz8P7772Pfvn0wNjbO2960aVNEREQoWJm8Zs2aBR8fH4SHh8PExCRve+vWrXHy5EkFK5MXc5AwC4E5CBwrJewJgT1BuoCTbxq0bNkybNu2DePHj1dbq6datWrYsmWLgpXJ65dffsHMmTMxZMgQGBgY5G338fHB9evXFaxMXsxBwiwE5iBwrJSwJwT2hHDp0iV8+OGHBbY7ODggMTFRgYqUcebMGQwZMkTtAAoQi4jHx8crVJX8mIOEWQjMQeBYKWFPCOwJ0gWcfNOg33//HTNmzECXLl2gry9F6+npiaioKAUrk9edO3fy7tr3MmNjY2RkZChQkTKYg4RZCMxB4FgpYU8I7AnB2NgYqampBbbHxMTAxsZGgYqUkZubm3cW6MsePHhQqtYvYg4SZiEwB4FjpYQ9IbAnSBdw8k2D4uPjUbly5QLbVSoVsrOzFahIGc7Ozrh69WqB7UeOHIG7u7sCFSmDOUiYhcAcBI6VEvaEwJ4QWrRogeDgYGRlZeVtu3fvHubPn482bdooWJm8GjVqVOCy67S0NCxduhRNmzZVqCr5MQcJsxCYg8CxUsKeENgTpAt4wwUN8vDwQEREBJycnNS2//HHH4We2VBSff7555g+fToyMzMBABcvXkRYWBhWrlyJmTNnKlydfJiDhFkIzEHgWClhTwjsCWHSpEkYMWIE3n33XTx//hx9+vRBUlISateujdGjRytdnmwmTZqE/v37o0OHDsjMzMS4ceMQExODcuXKYeHChUqXJxvmIGEWAnMQOFZK2BMCe4J0gZ5KpVIpXURJceDAAUyaNAmDBg3CsmXLEBgYiOjoaGzfvh0rVqxAo0aNlC5RNjt27EBQUBBiY2MBAPb29ggMDETPnj0VrkxezEHCLATmwLEyP/YEeyK/M2fOIDIyEunp6ahRowbeffddpUuSXXZ2Nnbv3q2WQ+fOnVGmTBmlS5MVc5AwC4E5SDhWCuwJCXuCijNOvmlYREQEgoOD837pq1evjmHDhqFx48ZKl6aIjIwMpKenw9bWVulSFMUcJMxCKO05cKwsiD3BnijMkydPYGlpqXQZRETFGsdKyo89QcUNJ99I4549ewaVSgVTU1MAwN27d7F//354eHiUqoMo5iBhFgJzoPzYE/SylStXwtnZGR06dAAAjBw5Evv27UP58uWxatUqeHl5KVyhPLZt24Zy5cqhWbNmAIB58+bh119/hYeHBxYsWFDg8uSSijlImIXAHASOlRL2hMCeIF3AGy5o0P379/HgwYO8xxcvXsSsWbOwefNmBauS39ChQ7F9+3YA4huHnj17IiQkBEOHDsWGDRuULU5GzEHCLATmIHCslLAnBPaEsGnTJlSoUAEAcOzYMRw/fhyrVq1CQEAA5s2bp3B18lm+fDlMTEwAAOfOncP69esxfvx4WFtb49tvv1W4OvkwBwmzEJiDwLFSwp4Q2BOkCzj5pkFjx47FyZMnAQCJiYno27cvLl26hO+//x5BQUEKVyefy5cvo169egCAvXv3onz58jh06BDmzp2LdevWKVydfJiDhFkIzEHgWClhTwjsCSEpKQmOjo4AgEOHDqF9+/Zo3LgxBgwYgEuXLilcnXwePHgAFxcXAGI9wLZt26JXr14YO3YsIiIiFK5OPsxBwiwE5iBwrJSwJwT2BOkCTr5p0I0bN1CrVi0AwJ49e1CtWjVs2rQJ8+fPx7Zt2xSuTj7Pnj2DmZkZAODo0aNo06YN9PX1Ubt2bdy7d0/h6uTDHCTMQmAOAsdKCXtCYE8IlpaWuH//PgDgyJEjaNiwIQBApVIhJydHydJkVbZsWaSkpAAQZzC8WDDbxMQEz58/V7AyeTEHCbMQmIPAsVLCnhDYE6QLDJUuoCTJzs6GsbExAOD48eNo0aIFAKBKlSpITExUsjRZVa5cGQcOHEDr1q1x9OhR9O3bFwDw8OFDmJubK1ucjJiDhFkIzEHgWClhTwjsCaFNmzYYN24cXFxckJKSgoCAAADA1atX885sKA3effddfP311/D29kZMTAyaNm0KQEzSlpb1iwDm8DJmITAHgWOlhD0hsCdIF/DMNw3y8PDApk2bEBERgePHj+f90ickJMDa2lrZ4mQ0bNgwzJs3Dy1atICvry/8/PwAiG9jvL29Fa5OPsxBwiwE5iBwrJSwJwT2hDB58mT07t0b7u7uCAkJyTsrMjExER9//LHC1cln6tSpqF27NpKTk7FkyRKUK1cOgLhMu2PHjgpXJx/mIGEWAnMQOFZK2BMCe4J0Ae92qkGnTp3C8OHDkZqaiq5du+Ytcrlw4UJERUWVqnVrEhMTkZiYCC8vL+jrizneixcvwszMDO7u7gDEGgX29vZ5z5dEzEHCLATmwLEyP/YEe+JtDRo0CDNnzoS9vb3SpShq2rRpGDFiBGxsbJQuRVHMQcIsBOYgcKyUsCcE9gQpiZNvGpaTk4PU1FRYWVnlbbtz5w5MTU1ha2sLADhz5gxq1qyZd4lNaVWnTh38/vvvqFSpktKlKIo5SJiFUBpy4Fj5dtgT7ImX+fn5YceOHSW6H95Eafi9eBPMQcIsBOYgcKyUsCcE9gQpqWR+ha4gAwMDtQMHAHB2ds47cACAgQMHIj4+Xu7Sih3O+wrMQcIshNKQA8fKt8OeENgT9LLS8HvxJpiDhFkIzIHyY08QKY+Tbwrg4EdE9HocKyk/9gQRERER6SJOvhEREREREREREWkJJ9+IiIiIiIiIiIi0hJNvpBg9PT2lSygWmIOEWQjMgfJjTxARERER6S5OvimAB1EC1+4RmIOEWQjMQeBYKWFPCOwJ4Ysvvihwc4rSqEuXLjAzM1O6DMUxBwmzEJiDwLFSwp4Q2BOkJD0V9+hlx1scC/fv34e9vT0MDAyULkVRpTGHU6dOwdfXF2XKlFHbXhqzKAxzEDhWStgTQmnticePH+PQoUPo2rWr0qXIIjc3F/r6Bb8fzs3NxYMHD1CxYkUFqpKXSqXCnTt34OjoCENDQ2RmZuLAgQPIzMxEQEAAbGxslC5RUZ9++im+/fZbODk5KV2KYuLi4hAbGws7OztUq1ZN6XJkkZmZCT09PRgZGQEAYmNjERoainv37qFixYro0aNHqfl82Lt3LwICAmBqaqp0KYqLjIzEP//8gwYNGqBSpUq4ceMG1q9fj9zcXLRu3RpNmjRRukQiAJx8Iw2LjIzEwYMHYWVlhfbt26vtHKampmLWrFn49ttvFaxQHr/99hsiIiJQv359dO/eHbt378bSpUuRmZmJ9957DyNGjFC6REX5+Pjg999/h7u7u9KlyOLhw4ewtbXNe3z16lWsWbMGt2/fhr29PXr37o0GDRooWKFyMjMz8eDBA1SoUAHGxsZKlyObzp07o127dujWrRscHR2VLqfYSUpKgkqlgp2dndKlFAuRkZF4//33cfXqVaVL0arU1FR89dVXOHToEMzNzdGrVy8MHz48b9I5KSkJTZo0KfE5REVFYcCAAbh//z4qVaqE1atXY+TIkYiOjoZKpUKZMmWwadMmuLq6Kl2q1v3555+Fbg8MDMRXX32FChUqAABatmwpZ1mymzZtGsaPHw8zMzM8e/YMEyZMwP79+6FSqaCnpwd/f3/88MMPJf7Mpj59+qB3795o164dzpw5g759+8LNzQ3u7u6IiYlBdHQ0QkJC4Ofnp3SpWufl5QUzMzN06NABPXr0gK+vr9IlKWLfvn0YNWoULCwskJmZieDgYIwcORI+Pj7Q19fHiRMnMHfuXHTu3FnpUok4+SaHW7duYdCgQa/cgSgpjh49ii+++AKurq5IS0tDeno6Fi9ejHfeeQdA6dlpXrNmDRYvXozGjRvj3Llz6N27N9asWYO+ffsiJycHISEhmDBhAnr16qV0qVr3/vvvF7r96tWrqFKlCkxMTAAA27Ztk7Ms2Xl7e+Po0aOwtbXF2bNn8emnn8LPzw81a9ZEZGQkTp06hTVr1sDf31/pUrVq69atcHNzg5+fH54/f45vvvkG27dvh0qlgr6+Prp3746vv/66VEzCeXl5wcrKCk+fPkXDhg3xwQcfoGXLljA0NFS6NFmlpKRgypQpuHjxIpo2bYopU6ZgypQpCA0NhZ6eHnx9fbFkyRLY29srXapWpaamFvl8ZGQk+vTpU+I/P2fOnIkjR45g9OjRePr0KX744QdUrVoVS5cuhbGxMZKSktC4cWNERkYqXapWDR06FCqVCqNGjUJoaCiOHj0KV1dXLF68GCqVCiNGjICFhQW+++47pUvVOi8vL+jp6RV56b2enl6J/914eT9i4cKF+P333zF37lz4+vriypUrmDRpEtq1a4exY8cqXapW1a1bF6GhoXB1dUWfPn1QvXp1TJ48Oe/5RYsW4dSpU9i4caOCVcrDy8sLgYGBOHDgAK5evQoPDw/06NED7733HsqVK6d0ebLp1q0bWrdujSFDhmDXrl2YNm0a+vbti2HDhgEAfvrpJ+zYsQPbt29XtlAicM03WWRlZeHevXtKl6F1QUFB6N+/P8LCwnDw4EEMGDAAQ4YMweHDh5UuTVabN2/G9OnTsXTpUqxcuRJBQUEYN24chgwZguHDh2PSpEnYvHmz0mXK4vr167C1tUXLli3zflq0aAE9PT00aNAgb1tJ9/JBQ1BQELp06YJ169ZhwoQJ+Omnn/Dxxx8jKChIwQrlERwcnHcp2aJFi3Dy5EksXrwYYWFhWLx4MU6dOoVFixYpW6SMduzYgSVLlsDIyAhjxoxBkyZNMHfuXNy6dUvp0mQzb948REdHY8CAAYiKikJgYCAuXbqE9evXY8OGDcjOzsaCBQuULlPr6tWrB39//1f+fPLJJ0qXKIs///wT06dPR7t27dCzZ09s2bIFycnJGDJkCDIzMwGUjnX/zp07hxEjRsDT0xOjRo1CVFQU+vXrByMjIxgbG2PQoEGIiIhQukxZNG7cGAEBATh27BgiIyPzfgwMDBAWFobIyMgSP/EGqO9HHDp0COPHj8c777wDU1NT1K1bF5MmTcK+ffsUrFAeubm5yMnJASDOEM3/JW+3bt1K/OT8yz788ENs27YNW7ZsQb169RAcHIyAgACMHDkSx44dU7o8WURHR+ed1dahQwdkZGSgVatWec+3bt0at2/fVqo8IjWl6yt2LXndZZTJyckyVaKsGzduYN68eQDEzvHAgQNRoUIFjBw5EgsXLkTNmjUVrlAe9+7dQ926dQEA1atXh76+PmrXrp33fP369fNyKunWrl2LSZMmoVatWhg+fHjexMvy5cvRu3dveHh4KFyh/K5fv17gsuMPPvgAffr0Uagi+SQkJORdRnjw4EFMmzYNAQEBAAB3d3dYWVlhwoQJmDBhgpJlysbQ0BCtWrVCq1atkJCQgG3btmHr1q1Ys2YNfH190aNHD/To0UPpMrXq8OHDWLJkCerUqYN27dqhcePGWL16dd4YOnnyZIwePVrhKrXPzMwMX3zxxSsvG7p9+zamTJkic1XyS05OVlvPzcbGBiEhIRgwYAAGDhyImTNnKlidfNLT0/MWBC9btixMTU3Vzv50dHREUlKSUuXJ6scff8SaNWvQvXt3TJ06Fc2bN1e6JMW8mHhOTEyEp6en2nNeXl548OCBEmXJqlatWjh06BDc3d1RqVIlREZGwsvLK+/5q1evwtraWrkCFeLj4wMfHx9MnjwZe/bsQWhoKAYMGABHR0ccPHhQ6fK0yszMDCkpKXB2dsaTJ0+QnZ2NlJSUvOcfPXpU4i/HJt3ByTcNWLt2Lby9vV/5i52eni5zRcowNjbGkydP1LZ17twZ+vr6GD16NCZOnKhQZfIqU6YMMjIy8h7b2NigbNmyaq/Jzs6WuyxF1K1bF1u3bsXUqVPx4YcfYv78+ahcubLSZSkiLS0NJiYmMDExKXBZpYmJCZ49e6ZQZfKxs7NDbGwsKlasiIyMjAKXRdjY2KjtMJVk+c/esbe3x+DBgzF48GCcOnUKW7ZswaxZs0r85FtqaiocHBwAAOXLl4ehoaHaOm/29vZ4+vSpUuXJpnr16gDElzOFsbS0LBV3vHV0dERUVJTagunm5uZYvXo1+vfvj+HDhytYnXzs7e3zFpAHgPHjx6utoZucnFyq7tbXt29fNGjQAOPGjcOhQ4fULjMsTRYtWgRTU1Po6+sjISEBVatWzXsuJSWlVCy8P2rUKAwcOBAZGRno1KkT5syZg5iYGLi7uyM6Ohrr1q3DoEGDlC5TFoWdBWxiYoKuXbuia9euuH37NrZu3apAZfJq2LAhpk+fjk8++QS7d+9Go0aNsHDhQsyePRt6enr47rvvUKdOHaXLJALAyTeNqFy5Mj777DO89957hT5/9epVdOvWTeaq5Oft7Y1Tp07Bx8dHbXvHjh2hUqkwadIkhSqTV5UqVXDt2rW8mwn8/fffas9HRUXB2dlZidIUYWFhgYULFyI0NBQff/wxAgMDS8VlQ/m1bdsWgLh05J9//sk72AbEWaMlfU0rQEzGL1q0CCtXrsR7772H4OBgLFiwAGZmZsjIyMDSpUtLzQ5SURMpDRo0QIMGDV67DlhJ4OLigr/++gu9e/fG33//DWNjYxw7dizvzn1Hjx4tFeNl586di5yAL1++fKmYeGrcuDFCQ0PRtGlTte1mZmb48ccf0a9fP4Uqk1fDhg0RHR2NevXqAQA+/vhjteePHTum9hlSGnh7eyM0NBSzZ89G165dS8Vk9Mv8/f0RHR0NQJwpnn85m7///lttMq6k8vPzw6pVqzBnzhxcuHABgLiaAhCT1sOHD8dnn32mZImyed3vgIuLS6k4c3zixImYMGECpk6dijp16mDRokVYtGgROnbsCD09PVSuXBmzZs1SukwiALzhgkaMHTsWtra2+PLLLwt9PjIyEl27di3xaxDs378fp0+ffmUOO3fuxK+//op169bJXJm8zpw5g7Jly8Lb27vQ59evXw+VSlVq1vB5WUxMDMaNG4d//vkHYWFhpeay0/DwcLXHdnZ2cHNzy3v8888/IysrCwMGDJC7NFllZmZi5MiROHPmDHx8fBAREQF9fX04ODggISEB1tbW+Omnn9SyKakmT56Mr776Cubm5kqXoqgdO3Zg0qRJcHZ2xv379/Hdd99h1qxZqFu3LvT19bFv3z5MnjwZvXv3VrpUksHjx48LnNHzstTUVFy5cuWVZwiWFnFxcTAxMSkVX9oU5s8//8SpU6cwePBgtTuJl2ZxcXEwMjLKu/traZCcnIy4uDjk5ubCzs6uVHxR87K7d++iYsWKpfIL7TcRFxeHjIwMVKlSpdTdzIqKL06+aUBiYiIyMzPh5OSkdCk6JSwsDC1atChwSWZpU9pyyM3NRVpaGszNzQvsMJS2LF6lpOdw+PBhHDp0CHFxcVCpVLCzs0OdOnXQqVOnEvt//l+V5J44c+YMLly4gNq1a6NOnTq4efMmVq5ciWfPnqF58+avvGtyada5c2esXLkSjo6OSpeiKOYgMAcJsxCYg8AcJMxCYA6kJE4Da8DL69O8iZJ8EPU2pkyZAl9fX+ZQynLQ19eHhYVFoc+VtixepaTnEBAQkHejhaJwrJSU5J6oW7du3g0WAMDDw+OVN6VhTwh37twpNWuHFoU5CMxBwiwE5iAwBwmzEJgDKUlf6QJKoylTpuDhw4dKl6E4nnQpMAcJsxCYg8CxUsKeENgTRERERKSLOPmmAB5EERG9HsdKyo89QURERES6iJNvREREREREREREWsLJNyIiIiIiIiIiIi3h5BsREREREREREZGWcPKNFOPk5ARDQ95wlzlImIXAHCg/9kTp8ODBg1c+d/78+bw/T58+Hba2tjJUpAzmIDAHCbMQmIPAHCTMQmAOpAv0VFy9WHadOnXCqlWr4OjoqHQpWpWZmYnk5GTk5uaqba9YsaJCFSm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-              "         total_time_sec  run_time_sec  work_time_sec\n",
-              "cluster                                             \n",
-              "0                 120.3          62.7           47.8\n",
-              "1                  73.0          38.6           28.9\n",
-              "2                  88.4          50.8           30.3\n",
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-              "\n",
-              "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-2f18eeff-eb4c-43b5-b26e-d06126565f89');\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>\n",
-              "  </div>\n"
-            ],
-            "application/vnd.google.colaboratory.intrinsic+json": {
-              "type": "dataframe",
-              "summary": "{\n  \"name\": \"cluster_profile[['total_time_sec', 'run_time_sec', 'work_time_sec']]\",\n  \"rows\": 4,\n  \"fields\": [\n    {\n      \"column\": \"cluster\",\n      \"properties\": {\n        \"dtype\": \"int32\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          1,\n          3,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total_time_sec\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 19.697948285714087,\n        \"min\": 73.0,\n        \"max\": 120.3,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          73.0,\n          93.8,\n          120.3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"run_time_sec\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 10.1896597915076,\n        \"min\": 38.6,\n        \"max\": 62.7,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          38.6,\n          45.4,\n          62.7\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"work_time_sec\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9.002592219281436,\n        \"min\": 28.9,\n        \"max\": 47.8,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          28.9,\n          41.0,\n          47.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
-            }
-          },
-          "metadata": {},
-          "execution_count": 22
-        }
-      ],
-      "source": [
-        "cluster_profile = df.groupby('cluster')[cluster_features + ['total_time_sec', 'run_time_sec', 'work_time_sec']].mean() / 60\n",
-        "\n",
-        "plt.figure(figsize=(14, 5))\n",
-        "sns.heatmap(cluster_profile[cluster_features].round(2), annot=True, cmap='RdYlGn_r',\n",
-        "            fmt='.1f', cbar_kws={'label': 'minutes'})\n",
-        "plt.title('Cluster archetypes — average split times')\n",
-        "plt.tight_layout()\n",
-        "plt.savefig(f'{PLOTS_DIR}/cluster_archetypes.png', dpi=120, bbox_inches='tight')\n",
-        "plt.show()\n",
-        "\n",
-        "cluster_profile[['total_time_sec', 'run_time_sec', 'work_time_sec']].round(1)\n"
-      ],
-      "id": "IjDSXgvdveZM"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "_i_QpdBbveZN"
-      },
-      "source": [
-        "## Part 5 — Three improved regression models\n",
-        "\n",
-        "Engineered features + cluster ID and cluster_distance. Comparing Linear Regression, Random Forest, Gradient Boosting against the baseline."
-      ],
-      "id": "_i_QpdBbveZN"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 23,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "FNzqJrRyveZN",
-        "outputId": "3754f6e4-9438-4525-9b2b-f048dcf6c761"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "X_eng shape: (91508, 47)\n"
-          ]
-        }
-      ],
-      "source": [
-        "eng_numeric = ['age_numeric', 'is_male', 'year', 'event_size', 'cluster', 'cluster_distance']\n",
-        "eng_categorical = ['gender', 'age_group', 'division', 'region']\n",
-        "\n",
-        "X_eng = pd.concat([\n",
-        "    df[eng_numeric],\n",
-        "    pd.get_dummies(df[eng_categorical], drop_first=True),\n",
-        "], axis=1)\n",
-        "print('X_eng shape:', X_eng.shape)\n"
-      ],
-      "id": "FNzqJrRyveZN"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 24,
-      "metadata": {
-        "id": "q-KQD7odveZN"
-      },
-      "outputs": [],
-      "source": [
-        "X_train_eng, X_test_eng, y_train, y_test = train_test_split(\n",
-        "    X_eng, y, test_size=0.2, random_state=SEED)\n"
-      ],
-      "id": "q-KQD7odveZN"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 25,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "Q63Tx6bNveZN",
-        "outputId": "f560a36d-620f-48cc-d38b-5310fdc62689"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "LR (engineered) — MAE: 9.10 min, RMSE: 11.82 min, R²: 0.4877\n"
-          ]
-        }
-      ],
-      "source": [
-        "lr_eng = LinearRegression()\n",
-        "lr_eng.fit(X_train_eng, y_train)\n",
-        "y_pred_lr = lr_eng.predict(X_test_eng)\n",
-        "mae_lr = mean_absolute_error(y_test, y_pred_lr)\n",
-        "rmse_lr = np.sqrt(mean_squared_error(y_test, y_pred_lr))\n",
-        "r2_lr = r2_score(y_test, y_pred_lr)\n",
-        "print(f\"LR (engineered) — MAE: {mae_lr/60:.2f} min, RMSE: {rmse_lr/60:.2f} min, R²: {r2_lr:.4f}\")\n",
-        "results['LR (engineered)'] = {'MAE': mae_lr, 'RMSE': rmse_lr, 'R2': r2_lr}\n"
-      ],
-      "id": "Q63Tx6bNveZN"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 26,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "1T-IgN2hveZN",
-        "outputId": "b319ca66-3ce7-4331-da99-9b0a6808c32c"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Random Forest — MAE: 5.30 min, RMSE: 6.77 min, R²: 0.8320\n"
-          ]
-        }
-      ],
-      "source": [
-        "rf = RandomForestRegressor(n_estimators=100, max_depth=15, random_state=SEED, n_jobs=-1)\n",
-        "rf.fit(X_train_eng, y_train)\n",
-        "y_pred_rf = rf.predict(X_test_eng)\n",
-        "mae_rf = mean_absolute_error(y_test, y_pred_rf)\n",
-        "rmse_rf = np.sqrt(mean_squared_error(y_test, y_pred_rf))\n",
-        "r2_rf = r2_score(y_test, y_pred_rf)\n",
-        "print(f\"Random Forest — MAE: {mae_rf/60:.2f} min, RMSE: {rmse_rf/60:.2f} min, R²: {r2_rf:.4f}\")\n",
-        "results['Random Forest'] = {'MAE': mae_rf, 'RMSE': rmse_rf, 'R2': r2_rf}\n"
-      ],
-      "id": "1T-IgN2hveZN"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 27,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "toHizDMLveZN",
-        "outputId": "e4c3dd38-36ae-44fa-fe2b-dcb5b9ab9133"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Gradient Boosting — MAE: 5.35 min, RMSE: 6.74 min, R²: 0.8336\n"
-          ]
-        }
-      ],
-      "source": [
-        "gb = GradientBoostingRegressor(n_estimators=200, max_depth=5, learning_rate=0.05, random_state=SEED)\n",
-        "gb.fit(X_train_eng, y_train)\n",
-        "y_pred_gb = gb.predict(X_test_eng)\n",
-        "mae_gb = mean_absolute_error(y_test, y_pred_gb)\n",
-        "rmse_gb = np.sqrt(mean_squared_error(y_test, y_pred_gb))\n",
-        "r2_gb = r2_score(y_test, y_pred_gb)\n",
-        "print(f\"Gradient Boosting — MAE: {mae_gb/60:.2f} min, RMSE: {rmse_gb/60:.2f} min, R²: {r2_gb:.4f}\")\n",
-        "results['Gradient Boosting'] = {'MAE': mae_gb, 'RMSE': rmse_gb, 'R2': r2_gb}\n"
-      ],
-      "id": "toHizDMLveZN"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "Z3TVWicQveZN"
-      },
-      "source": [
-        "### Comparison"
-      ],
-      "id": "Z3TVWicQveZN"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 28,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 568
-        },
-        "id": "7EpsUtl7veZN",
-        "outputId": "bae23ab1-950e-45a7-df58-8d29a43e3645"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "                            MAE_min  RMSE_min     R2\n",
-            "Baseline LR (demographics)   11.582    15.138  0.160\n",
-            "LR (engineered)               9.097    11.821  0.488\n",
-            "Random Forest                 5.301     6.770  0.832\n",
-            "Gradient Boosting             5.352     6.738  0.834\n"
-          ]
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 1400x500 with 2 Axes>"
-            ],
-            "image/png": 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-          },
-          "metadata": {}
-        },
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Winner: Gradient Boosting\n"
-          ]
-        }
-      ],
-      "source": [
-        "results_df = pd.DataFrame(results).T\n",
-        "results_df['MAE_min'] = results_df['MAE'] / 60\n",
-        "results_df['RMSE_min'] = results_df['RMSE'] / 60\n",
-        "results_df = results_df[['MAE_min', 'RMSE_min', 'R2']].round(3)\n",
-        "print(results_df)\n",
-        "\n",
-        "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n",
-        "axes[0].barh(results_df.index, results_df['R2'], color='teal')\n",
-        "axes[0].set_xlabel('R²')\n",
-        "axes[0].set_title('R² by model')\n",
-        "axes[0].grid(axis='x', alpha=0.3)\n",
-        "\n",
-        "axes[1].barh(results_df.index, results_df['MAE_min'], color='salmon')\n",
-        "axes[1].set_xlabel('MAE (minutes)')\n",
-        "axes[1].set_title('MAE by model')\n",
-        "axes[1].grid(axis='x', alpha=0.3)\n",
-        "\n",
-        "plt.tight_layout()\n",
-        "plt.savefig(f'{PLOTS_DIR}/model_comparison.png', dpi=120, bbox_inches='tight')\n",
-        "plt.show()\n",
-        "\n",
-        "winner_name = results_df['R2'].idxmax()\n",
-        "print(f\"Winner: {winner_name}\")\n"
-      ],
-      "id": "7EpsUtl7veZN"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 29,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 807
-        },
-        "id": "XB33OBlpveZN",
-        "outputId": "188f5c84-e5a3-4f86-b0b9-e22c76b6c88f"
-      },
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 1000x800 with 1 Axes>"
-            ],
-            "image/png": 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\n"
-          },
-          "metadata": {}
-        }
-      ],
-      "source": [
-        "if winner_name == 'Random Forest':\n",
-        "    importances, winning_model = rf.feature_importances_, rf\n",
-        "elif winner_name == 'Gradient Boosting':\n",
-        "    importances, winning_model = gb.feature_importances_, gb\n",
-        "else:\n",
-        "    importances, winning_model = np.abs(lr_eng.coef_), lr_eng\n",
-        "\n",
-        "imp_df = pd.DataFrame({'feature': X_eng.columns, 'importance': importances})\\\n",
-        "    .sort_values('importance', ascending=False)\n",
-        "\n",
-        "plt.figure(figsize=(10, 8))\n",
-        "sns.barplot(data=imp_df.head(15), y='feature', x='importance', palette='viridis')\n",
-        "plt.title(f'Top 15 features — {winner_name}')\n",
-        "plt.tight_layout()\n",
-        "plt.show()\n"
-      ],
-      "id": "XB33OBlpveZN"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "Xe7fDULoveZN"
-      },
-      "source": [
-        "## Part 6 — Save winning regressor"
-      ],
-      "id": "Xe7fDULoveZN"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 30,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "59kLwzqOveZN",
-        "outputId": "74985e4c-2712-4d94-bb84-e0bc61567287"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Saved hyrox_regressor.pkl, hyrox_regressor_features.pkl\n"
-          ]
-        }
-      ],
-      "source": [
-        "with open('hyrox_regressor.pkl', 'wb') as f:\n",
-        "    pickle.dump(winning_model, f)\n",
-        "with open('hyrox_regressor_features.pkl', 'wb') as f:\n",
-        "    pickle.dump(list(X_eng.columns), f)\n",
-        "print('Saved hyrox_regressor.pkl, hyrox_regressor_features.pkl')\n"
-      ],
-      "id": "59kLwzqOveZN"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "kbRVOP1mveZN"
-      },
-      "source": [
-        "## Part 6.5 — Demo models for the live predictor\n",
-        "\n",
-        "The production regressor uses `cluster` and `cluster_distance`, which only exist for athletes who have already raced. The Gradio Space needs to work for first-timers, so I train a second pair of models on the same engineered features minus the cluster ones:\n",
-        "\n",
-        "- a Gradient Boosting regressor for the predicted time\n",
-        "- a Logistic Regression directly targeting `total_time < 90 min` for a calibrated probability"
-      ],
-      "id": "kbRVOP1mveZN"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 31,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "20-NW8XLveZN",
-        "outputId": "7e24938b-0b5a-459f-aa84-958619f64411"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "X_demo: (91508, 45) (production X_eng was (91508, 47))\n"
-          ]
-        }
-      ],
-      "source": [
-        "demo_numeric = ['age_numeric', 'is_male', 'year', 'event_size']\n",
-        "demo_categorical = ['gender', 'age_group', 'division', 'region']\n",
-        "\n",
-        "X_demo = pd.concat([\n",
-        "    df[demo_numeric],\n",
-        "    pd.get_dummies(df[demo_categorical], drop_first=True),\n",
-        "], axis=1)\n",
-        "print(f\"X_demo: {X_demo.shape} (production X_eng was {X_eng.shape})\")\n"
-      ],
-      "id": "20-NW8XLveZN"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 32,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "1cu7WFYIveZN",
-        "outputId": "2f51d5b7-303b-44f9-d991-6b29ff9a9f92"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Demo regressor — MAE: 11.09 min, R²: 0.2283\n",
-            "(Production was MAE: 5.35 min)\n"
-          ]
-        }
-      ],
-      "source": [
-        "X_train_d, X_test_d, y_train_d, y_test_d = train_test_split(\n",
-        "    X_demo, y, test_size=0.2, random_state=SEED)\n",
-        "\n",
-        "demo_regressor = GradientBoostingRegressor(\n",
-        "    n_estimators=200, max_depth=5, learning_rate=0.05, random_state=SEED)\n",
-        "demo_regressor.fit(X_train_d, y_train_d)\n",
-        "\n",
-        "mae_demo = mean_absolute_error(y_test_d, demo_regressor.predict(X_test_d)) / 60\n",
-        "r2_demo = r2_score(y_test_d, demo_regressor.predict(X_test_d))\n",
-        "print(f\"Demo regressor — MAE: {mae_demo:.2f} min, R²: {r2_demo:.4f}\")\n",
-        "print(f\"(Production was MAE: {results_df.loc[winner_name, 'MAE_min']:.2f} min)\")\n"
-      ],
-      "id": "1cu7WFYIveZN"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 33,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "2AmYwoS3veZN",
-        "outputId": "2d978982-ea35-46cb-c5a6-089f85804ebb"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "under_90\n",
-            "1    0.63\n",
-            "0    0.37\n",
-            "Name: proportion, dtype: float64\n",
-            "              precision    recall  f1-score   support\n",
-            "\n",
-            "     Over 90       0.58      0.37      0.45      6770\n",
-            "    Under 90       0.70      0.84      0.76     11532\n",
-            "\n",
-            "    accuracy                           0.67     18302\n",
-            "   macro avg       0.64      0.61      0.61     18302\n",
-            "weighted avg       0.65      0.67      0.65     18302\n",
-            "\n"
-          ]
-        }
-      ],
-      "source": [
-        "df['under_90'] = (df['total_time_sec'] < 90 * 60).astype(int)\n",
-        "print(df['under_90'].value_counts(normalize=True).round(3))\n",
-        "\n",
-        "X_train_c, X_test_c, y_train_c, y_test_c = train_test_split(\n",
-        "    X_demo, df['under_90'], test_size=0.2, random_state=SEED, stratify=df['under_90'])\n",
-        "\n",
-        "scaler_demo = StandardScaler()\n",
-        "X_train_c_s = scaler_demo.fit_transform(X_train_c)\n",
-        "X_test_c_s = scaler_demo.transform(X_test_c)\n",
-        "\n",
-        "demo_classifier = LogisticRegression(max_iter=1000, random_state=SEED)\n",
-        "demo_classifier.fit(X_train_c_s, y_train_c)\n",
-        "print(classification_report(y_test_c, demo_classifier.predict(X_test_c_s),\n",
-        "      target_names=['Over 90', 'Under 90']))\n"
-      ],
-      "id": "2AmYwoS3veZN"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 34,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "BE0aEWsuveZN",
-        "outputId": "68fa01c2-067e-4741-f1e6-78bd5f7fddb8"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Saved hyrox_demo_regressor.pkl\n",
-            "Saved hyrox_demo_classifier.pkl\n",
-            "Saved hyrox_demo_scaler.pkl\n",
-            "Saved hyrox_demo_features.pkl\n",
-            "Saved hyrox_demo_options.pkl\n"
-          ]
-        }
-      ],
-      "source": [
-        "artifacts = {\n",
-        "    'hyrox_demo_regressor.pkl':  demo_regressor,\n",
-        "    'hyrox_demo_classifier.pkl': demo_classifier,\n",
-        "    'hyrox_demo_scaler.pkl':     scaler_demo,\n",
-        "    'hyrox_demo_features.pkl':   list(X_demo.columns),\n",
-        "    'hyrox_demo_options.pkl':    {\n",
-        "        'gender':            sorted(df['gender'].dropna().unique().tolist()),\n",
-        "        'age_group':         sorted(df['age_group'].dropna().unique().tolist()),\n",
-        "        'division':          sorted(df['division'].dropna().unique().tolist()),\n",
-        "        'region':            sorted(df['region'].dropna().unique().tolist()),\n",
-        "        'year_min':          int(df['year'].min()),\n",
-        "        'year_max':          int(df['year'].max()),\n",
-        "        'event_size_median': int(df['event_size'].median()),\n",
-        "    },\n",
-        "}\n",
-        "for name, obj in artifacts.items():\n",
-        "    with open(name, 'wb') as f:\n",
-        "        pickle.dump(obj, f)\n",
-        "    print('Saved', name)\n"
-      ],
-      "id": "BE0aEWsuveZN"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "yDYEo50wveZO"
-      },
-      "source": [
-        "## Part 7 — Reframe as classification\n",
-        "\n",
-        "Splitting `total_time` at the median gives a 50/50 binary target — fast vs slow finisher. Balanced classes mean accuracy is meaningful and no resampling is needed."
-      ],
-      "id": "yDYEo50wveZO"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 35,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "m93wv1KtveZO",
-        "outputId": "bd21654c-79ad-49e5-9525-614cfcb6dbec"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Median: 84.9 min\n",
-            "{1: 0.5, 0: 0.5}\n"
-          ]
-        }
-      ],
-      "source": [
-        "median_time = df['total_time_sec'].median()\n",
-        "df['is_slow'] = (df['total_time_sec'] >= median_time).astype(int)\n",
-        "print(f\"Median: {median_time/60:.1f} min\")\n",
-        "print(df['is_slow'].value_counts(normalize=True).round(3).to_dict())\n"
-      ],
-      "id": "m93wv1KtveZO"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 36,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 487
-        },
-        "id": "y43vl7TGveZO",
-        "outputId": "cdfa737c-b092-4163-d651-d5537944b40c"
-      },
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 1000x500 with 1 Axes>"
-            ],
-            "image/png": 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\n"
-          },
-          "metadata": {}
-        }
-      ],
-      "source": [
-        "plt.figure(figsize=(10, 5))\n",
-        "plt.hist(df[df['is_slow']==0]['total_time_sec']/60, bins=50, alpha=0.6, label='Fast', color='green')\n",
-        "plt.hist(df[df['is_slow']==1]['total_time_sec']/60, bins=50, alpha=0.6, label='Slow', color='red')\n",
-        "plt.axvline(median_time/60, color='black', linestyle='--', label='median')\n",
-        "plt.xlabel('Total time (minutes)')\n",
-        "plt.ylabel('Count')\n",
-        "plt.title('Class split')\n",
-        "plt.legend()\n",
-        "plt.show()\n"
-      ],
-      "id": "y43vl7TGveZO"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "sSQhey4tveZO"
-      },
-      "source": [
-        "## Part 8 — Classification models"
-      ],
-      "id": "sSQhey4tveZO"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "MEX2JrYLveZO"
-      },
-      "source": [
-        "### Precision vs recall, FP vs FN\n",
-        "\n",
-        "Costs are roughly symmetric here, so F1 on the slow class is the primary metric. If a coach were using this to flag athletes who'll struggle (class 1), recall on class 1 would matter more — missing a struggler (false negative) defeats the purpose, while a false positive just means giving extra attention to someone who doesn't strictly need it. False negatives are the more critical error."
-      ],
-      "id": "MEX2JrYLveZO"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 37,
-      "metadata": {
-        "id": "gpt7rp8bveZO"
-      },
-      "outputs": [],
-      "source": [
-        "y_class = df['is_slow']\n",
-        "X_train_c, X_test_c, y_train_c, y_test_c = train_test_split(\n",
-        "    X_eng, y_class, test_size=0.2, random_state=SEED, stratify=y_class)\n",
-        "\n",
-        "scaler_c = StandardScaler()\n",
-        "X_train_c_scaled = scaler_c.fit_transform(X_train_c)\n",
-        "X_test_c_scaled = scaler_c.transform(X_test_c)\n",
-        "\n",
-        "class_results = {}\n"
-      ],
-      "id": "gpt7rp8bveZO"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 38,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 625
-        },
-        "id": "AAQyHhoDveZO",
-        "outputId": "dc9c5cfc-37f3-4ec2-f983-f110d2e28158"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "              precision    recall  f1-score   support\n",
-            "\n",
-            "        Fast       0.79      0.82      0.81      9150\n",
-            "        Slow       0.82      0.79      0.80      9152\n",
-            "\n",
-            "    accuracy                           0.81     18302\n",
-            "   macro avg       0.81      0.81      0.81     18302\n",
-            "weighted avg       0.81      0.81      0.81     18302\n",
-            "\n"
-          ]
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 640x480 with 2 Axes>"
-            ],
-            "image/png": 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\n"
-          },
-          "metadata": {}
-        }
-      ],
-      "source": [
-        "logreg = LogisticRegression(max_iter=1000, random_state=SEED)\n",
-        "logreg.fit(X_train_c_scaled, y_train_c)\n",
-        "y_pred = logreg.predict(X_test_c_scaled)\n",
-        "print(classification_report(y_test_c, y_pred, target_names=['Fast', 'Slow']))\n",
-        "cm = confusion_matrix(y_test_c, y_pred)\n",
-        "ConfusionMatrixDisplay(cm, display_labels=['Fast', 'Slow']).plot(cmap='Blues')\n",
-        "plt.title('Logistic Regression')\n",
-        "plt.show()\n",
-        "class_results['LogisticRegression'] = {\n",
-        "    'precision_1': cm[1,1] / (cm[1,1] + cm[0,1] + 1e-9),\n",
-        "    'recall_1':    cm[1,1] / (cm[1,1] + cm[1,0] + 1e-9),\n",
-        "    'accuracy':    (cm[0,0] + cm[1,1]) / cm.sum(),\n",
-        "    'model':       logreg,\n",
-        "}\n"
-      ],
-      "id": "AAQyHhoDveZO"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 39,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 625
-        },
-        "id": "rfnxvAj0veZO",
-        "outputId": "7ece404a-f675-4cc4-deb0-b5940b9226e4"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "              precision    recall  f1-score   support\n",
-            "\n",
-            "        Fast       0.92      0.84      0.88      9150\n",
-            "        Slow       0.86      0.93      0.89      9152\n",
-            "\n",
-            "    accuracy                           0.89     18302\n",
-            "   macro avg       0.89      0.89      0.89     18302\n",
-            "weighted avg       0.89      0.89      0.89     18302\n",
-            "\n"
-          ]
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 640x480 with 2 Axes>"
-            ],
-            "image/png": 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\n"
-          },
-          "metadata": {}
-        }
-      ],
-      "source": [
-        "rfc = RandomForestClassifier(n_estimators=200, max_depth=15, random_state=SEED, n_jobs=-1)\n",
-        "rfc.fit(X_train_c, y_train_c)\n",
-        "y_pred = rfc.predict(X_test_c)\n",
-        "print(classification_report(y_test_c, y_pred, target_names=['Fast', 'Slow']))\n",
-        "cm = confusion_matrix(y_test_c, y_pred)\n",
-        "ConfusionMatrixDisplay(cm, display_labels=['Fast', 'Slow']).plot(cmap='Blues')\n",
-        "plt.title('Random Forest')\n",
-        "plt.show()\n",
-        "class_results['RandomForest'] = {\n",
-        "    'precision_1': cm[1,1] / (cm[1,1] + cm[0,1] + 1e-9),\n",
-        "    'recall_1':    cm[1,1] / (cm[1,1] + cm[1,0] + 1e-9),\n",
-        "    'accuracy':    (cm[0,0] + cm[1,1]) / cm.sum(),\n",
-        "    'model':       rfc,\n",
-        "}\n"
-      ],
-      "id": "rfnxvAj0veZO"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 40,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 625
-        },
-        "id": "NKzNOOwDveZO",
-        "outputId": "8264069f-032b-402d-8bed-a693e263c43f"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "              precision    recall  f1-score   support\n",
-            "\n",
-            "        Fast       0.93      0.84      0.88      9150\n",
-            "        Slow       0.85      0.93      0.89      9152\n",
-            "\n",
-            "    accuracy                           0.89     18302\n",
-            "   macro avg       0.89      0.89      0.89     18302\n",
-            "weighted avg       0.89      0.89      0.89     18302\n",
-            "\n"
-          ]
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 640x480 with 2 Axes>"
-            ],
-            "image/png": 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\n"
-          },
-          "metadata": {}
-        }
-      ],
-      "source": [
-        "gbc = GradientBoostingClassifier(n_estimators=200, max_depth=5, learning_rate=0.05, random_state=SEED)\n",
-        "gbc.fit(X_train_c, y_train_c)\n",
-        "y_pred = gbc.predict(X_test_c)\n",
-        "print(classification_report(y_test_c, y_pred, target_names=['Fast', 'Slow']))\n",
-        "cm = confusion_matrix(y_test_c, y_pred)\n",
-        "ConfusionMatrixDisplay(cm, display_labels=['Fast', 'Slow']).plot(cmap='Blues')\n",
-        "plt.title('Gradient Boosting')\n",
-        "plt.show()\n",
-        "class_results['GradientBoosting'] = {\n",
-        "    'precision_1': cm[1,1] / (cm[1,1] + cm[0,1] + 1e-9),\n",
-        "    'recall_1':    cm[1,1] / (cm[1,1] + cm[1,0] + 1e-9),\n",
-        "    'accuracy':    (cm[0,0] + cm[1,1]) / cm.sum(),\n",
-        "    'model':       gbc,\n",
-        "}\n"
-      ],
-      "id": "NKzNOOwDveZO"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "oD9mPOwHveZO"
-      },
-      "source": [
-        "### Pick winner by F1 on the slow class"
-      ],
-      "id": "oD9mPOwHveZO"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 41,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "KhO5rjbdveZO",
-        "outputId": "9e16643c-584a-4c79-c7b2-b178c02ab7c3"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "                    precision_1  recall_1  accuracy  f1_class1\n",
-            "LogisticRegression        0.817     0.787     0.805      0.802\n",
-            "RandomForest              0.857     0.930     0.887      0.892\n",
-            "GradientBoosting          0.853     0.934     0.887      0.892\n",
-            "Winner: GradientBoosting\n"
-          ]
-        }
-      ],
-      "source": [
-        "class_summary = pd.DataFrame({\n",
-        "    name: {k: v for k, v in r.items() if k != 'model'}\n",
-        "    for name, r in class_results.items()\n",
-        "}).T\n",
-        "class_summary['f1_class1'] = (2 * class_summary['precision_1'] * class_summary['recall_1'] /\n",
-        "                              (class_summary['precision_1'] + class_summary['recall_1'] + 1e-9))\n",
-        "print(class_summary.round(3))\n",
-        "\n",
-        "cls_winner = class_summary['f1_class1'].idxmax()\n",
-        "print(f\"Winner: {cls_winner}\")\n",
-        "winning_classifier = class_results[cls_winner]['model']\n"
-      ],
-      "id": "KhO5rjbdveZO"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 42,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 507
-        },
-        "id": "ZttXECZtveZO",
-        "outputId": "065b6f11-3c1a-488a-8f74-8558db8dbbb7"
-      },
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 600x500 with 1 Axes>"
-            ],
-            "image/png": 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\n"
-          },
-          "metadata": {}
-        }
-      ],
-      "source": [
-        "# Re-render and save the winning classifier's confusion matrix for the README\n",
-        "if cls_winner == 'LogisticRegression':\n",
-        "    y_pred_w = winning_classifier.predict(X_test_c_scaled)\n",
-        "else:\n",
-        "    y_pred_w = winning_classifier.predict(X_test_c)\n",
-        "\n",
-        "cm_w = confusion_matrix(y_test_c, y_pred_w)\n",
-        "fig, ax = plt.subplots(figsize=(6, 5))\n",
-        "ConfusionMatrixDisplay(cm_w, display_labels=['Fast', 'Slow']).plot(cmap='Blues', ax=ax, colorbar=False)\n",
-        "ax.set_title(f'{cls_winner} — confusion matrix')\n",
-        "plt.tight_layout()\n",
-        "plt.savefig(f'{PLOTS_DIR}/confusion_matrix_winner.png', dpi=120, bbox_inches='tight')\n",
-        "plt.show()\n"
-      ],
-      "id": "ZttXECZtveZO"
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 43,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "auUSptkvveZO",
-        "outputId": "5b0758d8-8b8b-44e6-eda5-c844c88fff1e"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Saved hyrox_classifier.pkl, hyrox_classifier_features.pkl\n"
-          ]
-        }
-      ],
-      "source": [
-        "with open('hyrox_classifier.pkl', 'wb') as f:\n",
-        "    pickle.dump(winning_classifier, f)\n",
-        "with open('hyrox_classifier_features.pkl', 'wb') as f:\n",
-        "    pickle.dump(list(X_eng.columns), f)\n",
-        "print('Saved hyrox_classifier.pkl, hyrox_classifier_features.pkl')\n"
-      ],
-      "id": "auUSptkvveZO"
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "I6O10BlwveZO"
-      },
-      "source": [
-        "## Part 9 — Submission\n",
-        "\n",
-        "1. Create a Hugging Face model repo, upload the four pickles + this notebook + the `plots/` folder + the README.\n",
-        "2. Create a Hugging Face Space (Gradio SDK), upload `app.py`, `requirements.txt`, and the five `hyrox_demo_*.pkl` files.\n",
-        "3. Record a 4–6 minute walkthrough video, upload to YouTube, and pin it to the top of the README.\n",
-        "\n",
-        "Step-by-step in `huggingface_roadmap.md`."
-      ],
-      "id": "I6O10BlwveZO"
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "!zip -r artifacts.zip *.pkl plots/ hyrox_assignment.ipynb\n",
-        "from google.colab import files\n",
-        "files.download('artifacts.zip')"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 306
-        },
-        "id": "9RiiDVLu2wm7",
-        "outputId": "a73e094d-e76d-475d-a1a9-4de35980963a"
-      },
-      "id": "9RiiDVLu2wm7",
-      "execution_count": 44,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "\tzip warning: name not matched: hyrox_assignment.ipynb\n",
-            "  adding: hyrox_classifier_features.pkl (deflated 60%)\n",
-            "  adding: hyrox_classifier.pkl (deflated 69%)\n",
-            "  adding: hyrox_demo_classifier.pkl (deflated 19%)\n",
-            "  adding: hyrox_demo_features.pkl (deflated 61%)\n",
-            "  adding: hyrox_demo_options.pkl (deflated 36%)\n",
-            "  adding: hyrox_demo_regressor.pkl (deflated 70%)\n",
-            "  adding: hyrox_demo_scaler.pkl (deflated 30%)\n",
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-            "  adding: plots/ (stored 0%)\n",
-            "  adding: plots/fatigue_animation.gif (deflated 10%)\n",
-            "  adding: plots/gender_boxplot.png (deflated 22%)\n",
-            "  adding: plots/model_comparison.png (deflated 23%)\n",
-            "  adding: plots/cluster_archetypes.png (deflated 11%)\n",
-            "  adding: plots/confusion_matrix_winner.png (deflated 17%)\n",
-            "  adding: plots/total_time_distribution.png (deflated 22%)\n"
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\ No newline at end of file