{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Размеры датасета: (5110, 12)\n"
     ]
    },
    {
     "data": {
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>gender</th>\n",
       "      <th>age</th>\n",
       "      <th>hypertension</th>\n",
       "      <th>heart_disease</th>\n",
       "      <th>ever_married</th>\n",
       "      <th>work_type</th>\n",
       "      <th>Residence_type</th>\n",
       "      <th>avg_glucose_level</th>\n",
       "      <th>bmi</th>\n",
       "      <th>smoking_status</th>\n",
       "      <th>stroke</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9046</td>\n",
       "      <td>Male</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Urban</td>\n",
       "      <td>228.69</td>\n",
       "      <td>36.6</td>\n",
       "      <td>formerly smoked</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>51676</td>\n",
       "      <td>Female</td>\n",
       "      <td>61.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Rural</td>\n",
       "      <td>202.21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>31112</td>\n",
       "      <td>Male</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Rural</td>\n",
       "      <td>105.92</td>\n",
       "      <td>32.5</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>60182</td>\n",
       "      <td>Female</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Urban</td>\n",
       "      <td>171.23</td>\n",
       "      <td>34.4</td>\n",
       "      <td>smokes</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1665</td>\n",
       "      <td>Female</td>\n",
       "      <td>79.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Rural</td>\n",
       "      <td>174.12</td>\n",
       "      <td>24.0</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      id  gender   age  hypertension  heart_disease ever_married  \\\n",
       "0   9046    Male  67.0             0              1          Yes   \n",
       "1  51676  Female  61.0             0              0          Yes   \n",
       "2  31112    Male  80.0             0              1          Yes   \n",
       "3  60182  Female  49.0             0              0          Yes   \n",
       "4   1665  Female  79.0             1              0          Yes   \n",
       "\n",
       "       work_type Residence_type  avg_glucose_level   bmi   smoking_status  \\\n",
       "0        Private          Urban             228.69  36.6  formerly smoked   \n",
       "1  Self-employed          Rural             202.21   NaN     never smoked   \n",
       "2        Private          Rural             105.92  32.5     never smoked   \n",
       "3        Private          Urban             171.23  34.4           smokes   \n",
       "4  Self-employed          Rural             174.12  24.0     never smoked   \n",
       "\n",
       "   stroke  \n",
       "0       1  \n",
       "1       1  \n",
       "2       1  \n",
       "3       1  \n",
       "4       1  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Импорт необходимых библиотек\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Загрузка данных\n",
    "data = pd.read_csv(\"data/healthcare-dataset-stroke-data.csv\")\n",
    "\n",
    "# Первичный обзор данных\n",
    "print(\"Размеры датасета:\", data.shape)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Конструирование признаков"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Обработка данных завершена. Размеры итогового датасета: (5110, 12)\n"
     ]
    },
    {
     "data": {
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       "      <th>id</th>\n",
       "      <th>gender</th>\n",
       "      <th>age</th>\n",
       "      <th>hypertension</th>\n",
       "      <th>heart_disease</th>\n",
       "      <th>ever_married</th>\n",
       "      <th>work_type</th>\n",
       "      <th>Residence_type</th>\n",
       "      <th>avg_glucose_level</th>\n",
       "      <th>bmi</th>\n",
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       "      <th>stroke</th>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>0</td>\n",
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       "      <th>5106</th>\n",
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       "      <td>1.0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.323516</td>\n",
       "      <td>0.340206</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
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       "      <th>5107</th>\n",
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       "      <td>1.0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0.232532</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
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       "      <th>5108</th>\n",
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       "      <td>0.0</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>5109</th>\n",
       "      <td>44679</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.536133</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.139230</td>\n",
       "      <td>0.182131</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5110 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         id  gender       age  hypertension  heart_disease  ever_married  \\\n",
       "0      9046     0.0  0.816895             0              1             1   \n",
       "1     51676     1.0  0.743652             0              0             1   \n",
       "2     31112     0.0  0.975586             0              1             1   \n",
       "3     60182     1.0  0.597168             0              0             1   \n",
       "4      1665     1.0  0.963379             1              0             1   \n",
       "...     ...     ...       ...           ...            ...           ...   \n",
       "5105  18234     1.0  0.975586             1              0             1   \n",
       "5106  44873     1.0  0.987793             0              0             1   \n",
       "5107  19723     1.0  0.426270             0              0             1   \n",
       "5108  37544     0.0  0.621582             0              0             1   \n",
       "5109  44679     1.0  0.536133             0              0             1   \n",
       "\n",
       "      work_type  Residence_type  avg_glucose_level       bmi  smoking_status  \\\n",
       "0             2               1           0.801265  0.301260               1   \n",
       "1             3               0           0.679023       NaN               2   \n",
       "2             2               0           0.234512  0.254296               2   \n",
       "3             2               1           0.536008  0.276060               3   \n",
       "4             3               0           0.549349  0.156930               2   \n",
       "...         ...             ...                ...       ...             ...   \n",
       "5105          2               1           0.132167       NaN               2   \n",
       "5106          3               1           0.323516  0.340206               2   \n",
       "5107          3               0           0.128658  0.232532               2   \n",
       "5108          2               0           0.513203  0.175258               1   \n",
       "5109          0               1           0.139230  0.182131               0   \n",
       "\n",
       "      stroke  \n",
       "0          1  \n",
       "1          1  \n",
       "2          1  \n",
       "3          1  \n",
       "4          1  \n",
       "...      ...  \n",
       "5105       0  \n",
       "5106       0  \n",
       "5107       0  \n",
       "5108       0  \n",
       "5109       0  \n",
       "\n",
       "[5110 rows x 12 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import LabelEncoder, MinMaxScaler\n",
    "\n",
    "# Преобразование целевой переменной\n",
    "data[\"stroke\"] = data[\"stroke\"].map({1: 1, 0: 0})  # Целевая переменная уже числовая\n",
    "\n",
    "# Бинарные категориальные признаки\n",
    "binary_cols = [\n",
    "    \"hypertension\",\n",
    "    \"heart_disease\",\n",
    "]\n",
    "for col in binary_cols:\n",
    "    if col in data.columns:\n",
    "        data[col] = data[col].map({1: 1, 0: 0})\n",
    "\n",
    "# Преобразование признака пола\n",
    "data[\"gender\"] = data[\"gender\"].map({\"Female\": 1, \"Male\": 0, \"Other\": None})\n",
    "\n",
    "# Нормализация числовых данных\n",
    "scaler = MinMaxScaler()\n",
    "numeric_cols = [\"age\", \"avg_glucose_level\", \"bmi\"]\n",
    "data[numeric_cols] = scaler.fit_transform(data[numeric_cols])\n",
    "\n",
    "# Преобразование категориальных переменных с помощью LabelEncoder\n",
    "label_encoder = LabelEncoder()\n",
    "\n",
    "# Преобразуем 'ever_married', 'work_type', 'Residence_type', и 'smoking_status'\n",
    "categorical_cols = [\"ever_married\", \"work_type\", \"Residence_type\", \"smoking_status\"]\n",
    "for col in categorical_cols:\n",
    "    if col in data.columns:\n",
    "        data[col] = label_encoder.fit_transform(data[col])\n",
    "\n",
    "print(\"Обработка данных завершена. Размеры итогового датасета:\", data.shape)\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Обзор пропусков в данных:\n",
      "id                     0\n",
      "gender                 1\n",
      "age                    0\n",
      "hypertension           0\n",
      "heart_disease          0\n",
      "ever_married           0\n",
      "work_type              0\n",
      "Residence_type         0\n",
      "avg_glucose_level      0\n",
      "bmi                  201\n",
      "smoking_status         0\n",
      "stroke                 0\n",
      "dtype: int64\n",
      "Статистические характеристики данных:\n",
      "                 id       gender          age  hypertension  heart_disease  \\\n",
      "count   5110.000000  5109.000000  5110.000000   5110.000000    5110.000000   \n",
      "mean   36517.829354     0.586025     0.526692      0.097456       0.054012   \n",
      "std    21161.721625     0.492592     0.276033      0.296607       0.226063   \n",
      "min       67.000000     0.000000     0.000000      0.000000       0.000000   \n",
      "25%    17741.250000     0.000000     0.304199      0.000000       0.000000   \n",
      "50%    36932.000000     1.000000     0.548340      0.000000       0.000000   \n",
      "75%    54682.000000     1.000000     0.743652      0.000000       0.000000   \n",
      "max    72940.000000     1.000000     1.000000      1.000000       1.000000   \n",
      "\n",
      "       ever_married    work_type  Residence_type  avg_glucose_level  \\\n",
      "count   5110.000000  5110.000000     5110.000000        5110.000000   \n",
      "mean       0.656164     2.167710        0.508023           0.235563   \n",
      "std        0.475034     1.090293        0.499985           0.209046   \n",
      "min        0.000000     0.000000        0.000000           0.000000   \n",
      "25%        0.000000     2.000000        0.000000           0.102137   \n",
      "50%        1.000000     2.000000        1.000000           0.169721   \n",
      "75%        1.000000     3.000000        1.000000           0.272228   \n",
      "max        1.000000     4.000000        1.000000           1.000000   \n",
      "\n",
      "               bmi  smoking_status       stroke  \n",
      "count  4909.000000     5110.000000  5110.000000  \n",
      "mean      0.212981        1.376908     0.048728  \n",
      "std       0.089966        1.071534     0.215320  \n",
      "min       0.000000        0.000000     0.000000  \n",
      "25%       0.151203        0.000000     0.000000  \n",
      "50%       0.203895        2.000000     0.000000  \n",
      "75%       0.261168        2.000000     0.000000  \n",
      "max       1.000000        3.000000     1.000000  \n",
      "Размеры данных после обработки пропусков: (4908, 12)\n"
     ]
    }
   ],
   "source": [
    "# Проверка данных на пропуски\n",
    "print(\"Обзор пропусков в данных:\")\n",
    "print(data.isnull().sum())\n",
    "\n",
    "# Вывод статистик по данным\n",
    "print(\"Статистические характеристики данных:\")\n",
    "print(data.describe())\n",
    "\n",
    "# Удаление или обработка пропущенных данных\n",
    "# Пример: удаление строк с пропусками (если применимо)\n",
    "data = data.dropna()\n",
    "print(\"Размеры данных после обработки пропусков:\", data.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Выборки"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Размер обучающей выборки: 3926 строк\n",
      "Размер тестовой выборки: 982 строк\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "# Разделение данных на признаки (X) и целевую переменную (y)\n",
    "X = data.drop(columns=[\"stroke\"])\n",
    "y = data[\"stroke\"]\n",
    "\n",
    "# Разделение на обучающую и тестовую выборки (80% на обучение, 20% на тестирование)\n",
    "X_train, X_test, y_train, y_test = train_test_split(\n",
    "    X, y, test_size=0.2, random_state=42\n",
    ")\n",
    "\n",
    "print(f\"Размер обучающей выборки: {X_train.shape[0]} строк\")\n",
    "print(f\"Размер тестовой выборки: {X_test.shape[0]} строк\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Обучение"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Модель: Logistic Regression\n",
      "Точность: 0.9460\n",
      "ROC AUC: 0.8518\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Отчет по классификации:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.95      1.00      0.97       929\n",
      "           1       0.00      0.00      0.00        53\n",
      "\n",
      "    accuracy                           0.95       982\n",
      "   macro avg       0.47      0.50      0.49       982\n",
      "weighted avg       0.89      0.95      0.92       982\n",
      "\n",
      "\n",
      "Модель: Random Forest\n",
      "Точность: 0.9460\n",
      "ROC AUC: 0.7819\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Отчет по классификации:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.95      1.00      0.97       929\n",
      "           1       0.00      0.00      0.00        53\n",
      "\n",
      "    accuracy                           0.95       982\n",
      "   macro avg       0.47      0.50      0.49       982\n",
      "weighted avg       0.89      0.95      0.92       982\n",
      "\n",
      "\n",
      "Модель: Gradient Boosting\n",
      "Точность: 0.9399\n",
      "ROC AUC: 0.8379\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Отчет по классификации:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.95      0.99      0.97       929\n",
      "           1       0.00      0.00      0.00        53\n",
      "\n",
      "    accuracy                           0.94       982\n",
      "   macro avg       0.47      0.50      0.48       982\n",
      "weighted avg       0.89      0.94      0.92       982\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import (\n",
    "    accuracy_score,\n",
    "    classification_report,\n",
    "    confusion_matrix,\n",
    "    roc_auc_score,\n",
    "    roc_curve,\n",
    ")\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier\n",
    "\n",
    "\n",
    "# Функция для визуализации матрицы ошибок\n",
    "def plot_confusion_matrix(conf_matrix, model_name):\n",
    "    plt.figure(figsize=(8, 6))\n",
    "    sns.heatmap(conf_matrix, annot=True, fmt=\"d\", cmap=\"Blues\", cbar=False)\n",
    "    plt.xlabel(\"Предсказанный класс\")\n",
    "    plt.ylabel(\"Истинный класс\")\n",
    "    plt.title(f\"Матрица ошибок для {model_name}\")\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "# Инициализация моделей\n",
    "log_reg = LogisticRegression(random_state=42, max_iter=1000)\n",
    "rf_clf = RandomForestClassifier(random_state=42)\n",
    "gb_clf = GradientBoostingClassifier(random_state=42)\n",
    "\n",
    "# Словарь моделей для перебора\n",
    "models = {\n",
    "    \"Logistic Regression\": log_reg,\n",
    "    \"Random Forest\": rf_clf,\n",
    "    \"Gradient Boosting\": gb_clf,\n",
    "}\n",
    "\n",
    "# Словарь для хранения результатов\n",
    "results = {}\n",
    "\n",
    "# Обучение и оценка моделей\n",
    "for name, model in models.items():\n",
    "    model.fit(X_train, y_train)  # Обучаем модель\n",
    "    y_pred = model.predict(X_test)  # Предсказываем на тестовой выборке\n",
    "    accuracy = accuracy_score(y_test, y_pred)  # Точность\n",
    "    auc_score = roc_auc_score(y_test, model.predict_proba(X_test)[:, 1])  # ROC AUC\n",
    "    classification_rep = classification_report(\n",
    "        y_test, y_pred, output_dict=True\n",
    "    )  # Отчет по классификации\n",
    "    conf_matrix = confusion_matrix(y_test, y_pred)  # Матрица ошибок\n",
    "\n",
    "    # Сохраняем результаты\n",
    "    results[name] = {\n",
    "        \"accuracy\": accuracy,\n",
    "        \"auc\": auc_score,\n",
    "        \"classification_report\": classification_rep,\n",
    "        \"confusion_matrix\": conf_matrix,\n",
    "    }\n",
    "\n",
    "# Вывод результатов\n",
    "for name, metrics in results.items():\n",
    "    print(f\"\\nМодель: {name}\")\n",
    "    print(f\"Точность: {metrics['accuracy']:.4f}\")\n",
    "    print(f\"ROC AUC: {metrics['auc']:.4f}\")\n",
    "    plot_confusion_matrix(metrics[\"confusion_matrix\"], name)\n",
    "    print(\"Отчет по классификации:\")\n",
    "    print(classification_report(y_test, models[name].predict(X_test)))\n",
    "\n",
    "    import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Оценка моделей. Матрица ошибок и ROC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Оценка модели: Logistic Regression\n",
      "Точность (Accuracy): 0.9460\n",
      "Точность (Precision): 0.0000\n",
      "Полнота (Recall): 0.0000\n",
      "F1-Score: 0.0000\n",
      "AUC: 0.8518\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
     ]
    },
    {
     "data": {
      "image/png": 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YAT09Pezfvx99+/ZFmzZtpF8umvj333/VHgshcOPGjVyrI8uWLUN8fHyO1ZHv4+nTpzhw4ADGjx+PwMBAfP7552jZsiUqV66cr+Pt7Ozw77//5kjqrl27Ju0vTBMmTICbmxu++OKLXPc7ODjgwYMHePbsmVr79evXkZWVJb2ednZ2yMrKyvG6x8XFISEhIUfcrq6u2LZtG0aOHImPPvoIAwcOREpKSuE9sTdkXz8yMlKtPS0tDVFRUdL+7P/fuHFDrV9GRka+74JfpUoVjB49Gn/88QcuX76MtLQ0LFiwQNqf34S2SpUqAIDLly/nq39+zJkzBykpKZg5cyaAV1VwY2NjZGZmwtPTM9fN0tISwKvX5ubNmzkSlTdfq7epUqUKnjx5ghYtWuR6rdcrXkqlEi1atMDChQulGzIfPHhQbUGDoaEhvvjiC4SEhCA6Ohre3t6YOXNmnu+l/L4PSPswWSOtZGRkhOXLlyMgIADt2rXLs5+Ojg4UCgUyMzOlttu3b0urwt7X+vXr1RKM7du3IyYmJscKrmfPnmHmzJkYOXJkodwDLvsv8Td/oQUFBeXr+LZt2yI2NhZbtmyR2jIyMrBkyRIYGRmhadOmGseY7dSpU/j5558xZ86cPBOItm3bIjMzE0uXLlVrz66MZK/Wbdu2LYCcz/PNftnq1q0LQ0NDKJVKrFmzBrdv38a0adPU+hTmrTs8PT2hq6uL4OBgta/N2rVrkZiYKMVXr149mJubY/Xq1Wr3Cty4ceM7h75evHiRI0moUqUKjI2N1W5LYWhomOvtQt5Ut25dODg4ICgoKEf/963sVKlSBZ06dUJoaChiY2Oho6ODTp06YceOHbkmhQ8fPpT+7eXlhfv37+OXX36R2lJSUrB69ep8X79r1664f/9+rse8fPkSz58/B4Bch8bd3NwAQHot37wVjq6uLlxcXCCEQHp6eq7Xz+/7gLQPh0FJa+U1rPI6b29vLFy4EK1bt0aPHj0QHx+P77//HlWrVsXFixff+9ply5bFJ598gj59+iAuLg5BQUGoWrVqjsnQ586dQ7ly5TB27Nh3njM6Ohr79u1Ta3v48CFevnyJffv2oWnTpjAxMZHmKqWnp6NChQr4448/EBUVla+4Bw4ciJUrV6J37944e/Ys7O3tsX37dpw4cQJBQUFqiyaAVxWC12NKTk6GUqlUa8trMvQff/yBli1bvrWS2bZtW3h6emLixImIioqCm5sbDh48iB07duDrr7+W5lPVrl0bfn5+WLVqFRISEtC0aVP8/fffWLduHTp06IBmzZrleY2aNWti3LhxmDNnDrp16yYNuxX01h0PHz7EjBkzcrQ7ODjA19cXEyZMQGBgIFq3bo327dsjMjISy5YtQ/369aVJ5Lq6uggICMDQoUPRvHlzdO3aFbdv30ZoaGiu87Ved/36dbRo0QJdu3aFi4sLSpUqhV27diEuLg7dunWT+rm7u2P58uWYMWMGqlatCktLS2mC/euUSiWWL1+Odu3awc3NDX369EH58uVx7do1XLlyBfv373/na5Ibf39/bN26FUFBQZgzZw7mzJmDQ4cOoUGDBhgwYABcXFzw5MkTnDt3Dn/++aeUOH311VdYunQpunfvjuHDh6N8+fLYuHEj9PT0AOSvYvjll19i69at+Prrr3Ho0CE0atQImZmZuHbtGrZu3Yr9+/ejXr16mDZtGo4ePQpvb2/Y2dkhPj4ey5YtQ8WKFaVPR2nVqhWsra3RqFEjWFlZISIiAkuXLoW3t3eO75NsFhYW+XofkBYqnkWoRB/W67fueJvcbt2xdu1a4ejoKFQqlXBychIhISFi6tSpOW6f8ea13nbrjp9++klMmDBBWFpaCn19feHt7S3u3Lmj1jd7af6iRYvU2nO7NoB3btnx3Lt3T3z++efCzMxMmJqaii5duogHDx7kuF1GXuLi4kSfPn1EuXLlhK6urnB1dc1x+4rs20YUZHvz1h0KhUKcPXs2x2vy5m0lkpOTxciRI4WNjY0oXbq0qFq1qpgzZ47arQ+EECI9PV0EBgYKBwcHUbp0aWFraysmTJggUlJS1Pq9fuuObCkpKcLJyUnUr19fZGRkCCEKfuuOvJ53ixYtpH5Lly4VTk5OonTp0sLKykoMGjQox20xhBAiODhY2NnZCZVKJT766CNx4sQJ4e7uLlq3bi31efPWHY8ePRKDBw8WTk5OwtDQUJiamooGDRqIrVu3qp07NjZWeHt7C2NjY7Xbgbx5645sx48fFy1bthTGxsbC0NBQ1KpVK9dbnbwu+1zbtm3Ldf+nn34qTExMREJCghDi1Xtu8ODBwtbWVpQuXVpYW1uLFi1aiFWrVqkdd+vWLeHt7S309fWFhYWFGD16tNixY4cAIP766y+1r0det9VIS0sTc+fOFTVq1BAqlUqUKVNGuLu7i8DAQJGYmCiEEOLAgQPCx8dH2NjYCF1dXWFjYyO6d+8url+/Lp1n5cqVokmTJsLc3FyoVCpRpUoV4e/vL51DiLx/VuTnfZDXc/Dz88txux4q+RRCcCYi0Ydy+PBhNGvWDNu2bXvrCtTCdPv2bTg4OCAqKuqdKwapZMrKyoKFhQU6duxYoGE/bRAUFISRI0fi3r17qFChQnGHQ/ReOGeNiKgESUlJyTEnbP369Xjy5Ml/YsWqJl6+fKn2OCUlBStXroSjoyMTNSrROGeN6D9OX18fXl5eBb7NBcnTX3/9hZEjR6JLly4wNzfHuXPnsHbtWtSsWRNdunQp7vCKVceOHVGpUiW4ubkhMTERP/74I65du4aNGzcWd2hEGmGyRvQfZ2VllWPhAZVc9vb2sLW1RXBwMJ48eYKyZcuiV69emDNnTo6bvGobLy8vrFmzBhs3bkRmZiZcXFywefPmPG/9QlRScM4aERERkYxxzhoRERGRjDFZIyIiIpIxzlmjYpOVlYUHDx7A2Ng43x9xQ0RE8iGEwLNnz2BjYwOlsujqPykpKUhLS9P4PLq6utKNkksSJmtUbB48eCB9MDIREZVcd+/eRcWKFYvk3CkpKdA3NgcyXmh8Lmtra0RFRZW4hI3JGhWb7I9c0XXxg0JHu1ex0X9X9OHvijsEoiLzLCkJVR1s8/wIrcKQlpYGZLyAysUP0OR3RWYaYq+uQ1paGpM1ovzKHvpU6OgyWaP/LBMTk+IOgajIfZCpLKX0NPpdIRQld5o+kzUiIiKSPwUATZLCEjw1mskaERERyZ9C+WrT5PgSquRGTkRERKQFWFkjIiIi+VMoNBwGLbnjoEzWiIiISP44DEpEREREcsTKGhEREckfh0GJiIiI5EzDYdASPJhYciMnIiIi0gKsrBEREZH8cRiUiIiISMa4GpSIiIiI5IiVNSIiIpI/DoMSERERyZgWD4MyWSMiIiL50+LKWslNM4mIiIi0ACtrREREJH8cBiUiIiKSMYVCw2SNw6BEREREVARYWSMiIiL5UypebZocX0IxWSMiIiL50+I5ayU3ciIiIiItwMoaERERyZ8W32eNyRoRERHJH4dBiYiIiEiOWFkjIiIi+eMwKBEREZGMafEwKJM1IiIikj8trqyV3DSTiIiISAuwskZERETyx2FQIiIiIhnjMCgRERERyREra0RERFQCaDgMWoLrU0zWiIiISP44DEpEREREcsTKGhEREcmfQqHhatCSW1ljskZERETyp8W37ii5kRMRERFpAVbWiIiISP60eIEBkzUiIiKSPy0eBmWyRkRERPKnxZW1kptmEhEREWkBVtaIiIhI/jgMSkRERCRjHAYlIiIiomyZmZmYPHkyHBwcoK+vjypVqmD69OkQQkh9hBCYMmUKypcvD319fXh6euLff/9VO8+TJ0/g6+sLExMTmJmZoV+/fkhOTi5QLEzWiIiISPYUCoXGW0HMnTsXy5cvx9KlSxEREYG5c+di3rx5WLJkidRn3rx5CA4OxooVKxAeHg5DQ0N4eXkhJSVF6uPr64srV64gLCwMe/bswdGjRzFw4MACxcJhUCIiIpK990m43jhBgbqfPHkSPj4+8Pb2BgDY29vjp59+wt9//w3gVVUtKCgIkyZNgo+PDwBg/fr1sLKywu7du9GtWzdERERg3759OH36NOrVqwcAWLJkCdq2bYvvvvsONjY2+YqFlTUiIiLSGklJSWpbampqrv0+/vhjHDhwANevXwcAXLhwAcePH0ebNm0AAFFRUYiNjYWnp6d0jKmpKRo0aIBTp04BAE6dOgUzMzMpUQMAT09PKJVKhIeH5ztmVtaIiIhI/hT/v2lyPABbW1u15qlTpyIgICBH9/HjxyMpKQlOTk7Q0dFBZmYmZs6cCV9fXwBAbGwsAMDKykrtOCsrK2lfbGwsLC0t1faXKlUKZcuWlfrkB5M1IiIikr3CGga9e/cuTExMpGaVSpVr961bt2Ljxo3YtGkTatSogfPnz2PEiBGwsbGBn5/f+8fxHpisERERkdYwMTFRS9by4u/vj/Hjx6Nbt24AAFdXV9y5cwezZ8+Gn58frK2tAQBxcXEoX768dFxcXBzc3NwAANbW1oiPj1c7b0ZGBp48eSIdnx+cs0ZERESy96FXg7548QJKpXqapKOjg6ysLACAg4MDrK2tceDAAWl/UlISwsPD4eHhAQDw8PBAQkICzp49K/U5ePAgsrKy0KBBg3zHwsoaERERyd6HXg3arl07zJw5E5UqVUKNGjXwzz//YOHChejbt68Uz4gRIzBjxgw4OjrCwcEBkydPho2NDTp06AAAcHZ2RuvWrTFgwACsWLEC6enpGDJkCLp165bvlaAAkzUiIiIqAT50srZkyRJMnjwZ33zzDeLj42FjY4OvvvoKU6ZMkfqMHTsWz58/x8CBA5GQkIBPPvkE+/btg56entRn48aNGDJkCFq0aAGlUolOnTohODi4YKGL12/FS/QBJSUlwdTUFCrXAVDo6BZ3OERF4unppcUdAlGRSUpKgpW5KRITE/M1D+x9r2FqagrjTiuhKK3/3ucR6S/xbMdXRRprUWFljYiIiOSvkG7dURIxWSMiIiLZ+9DDoHLC1aBEREREMsbKGhEREcmeQgENK2uFF8uHxmSNiIiIZE8BDYdBS3C2xmFQIiIiIhljZY2IiIhkT5sXGDBZIyIiIvnT4lt3cBiUiIiISMZYWSMiIiL503AYVHAYlIiIiKjoaDpnTbOVpMWLyRoRERHJnjYna5yzRkRERCRjrKwRERGR/GnxalAma0RERCR7HAYlIiIiIlliZY2IiIhkT5sra0zWiIiISPa0OVnjMCgRERGRjLGyRkRERLKnzZU1JmtEREQkf1p86w4OgxIRERHJGCtrREREJHscBiUiIiKSMSZrRERERDKmzcka56wRERERyRgra0RERCR/WrwalMkaERERyR6HQYmIiIhIllhZK2F69+6NhIQE7N69u7hDIZkwMlDh268/w2ef1ka5Mka4dP0exi/Yjn+uRqOUjhKTBrVDy0Y1YFfBHEnJKTjy9zUELv0FsY8SpXPUql4RAUM7oK5LJWRmCvxy6DwmLdqB5y/TivGZERXM6q1HsOTHA4h/nISajhUw178L3GvYF3dYVEhYWSsmvXv3hkKhwJw5c9Tad+/erfGLGhoaCjMzs1z3KRSKD5LsHD58GAqFAgkJCfnqp1AooFQqYWpqijp16mDs2LGIiYlR67t48WKEhoYWXdBU4iye1AOfNnDC11PXoVH3WTj41zXs/n4oyluYwkBPF7WcbDF/7V58+uVc9Bq7GlXtrLBpwVfS8dblTLH7+6GIuvsQnn2+Q+fh38O5sjW+n/plMT4rooLZ+cdZTArahXH92+DwhnGo6VgBnYZ+j4dPnhV3aFRIFFBIvyvfayvBk9aKfRhUT08Pc+fOxdOnT4s7lEKVnp5e4GMiIyPx4MEDnD59GuPGjcOff/6JmjVr4tKlS1IfU1PTPJNQ0j56qtJo38wNAcG7cfKfm4i69whzV/+OW3cfom+nxkh6noKOQ5Zi95//4MadeJy5fBtj529FHZdKqGhVBgDg1bgm0jMyMWbeVty4E49/rkZj1Owt8GlRBw4VyxXzMyTKn2WbDqJXh4/h294DTpXLY+GEbjDQ08WPv5wq7tCINFbsyZqnpyesra0xe/bst/bbsWMHatSoAZVKBXt7eyxYsKDQYrh79y66du0KMzMzlC1bFj4+Prh9+7a0//Tp02jZsiXKlSsHU1NTNG3aFOfOnVM7h0KhwPLly9G+fXsYGhpiwIABaNasGQCgTJkyUCgU6N2791vjsLS0hLW1NapVq4Zu3brhxIkTsLCwwKBBg6Q+vXv3RocOHaTH27dvh6urK/T19WFubg5PT088f/5c2r9mzRo4OztDT08PTk5OWLZsmdo1x40bh2rVqsHAwACVK1fG5MmT1RLNCxcuoFmzZjA2NoaJiQnc3d1x5swZaf/x48fRuHFj6Ovrw9bWFsOGDVO7PhWtUjpKlCqlg5Q09T8OUlLT0dCtSq7HmBjpIysrC4nJLwEAuqVLIT0jE0IIqc/L1FfDn3mdg0hO0tIzcP7aXXz6UXWpTalUoulH1XH6UlQxRkaFSaOqmoZDqMWt2JM1HR0dzJo1C0uWLMG9e/dy7XP27Fl07doV3bp1w6VLlxAQEIDJkycXynBgeno6vLy8YGxsjGPHjuHEiRMwMjJC69atkZb26hfWs2fP4Ofnh+PHj+Ovv/6Co6Mj2rZti2fP1MvrAQEB+Pzzz3Hp0iUEBgZix44dAF5VzGJiYrB48eICxaavr4+vv/4aJ06cQHx8fI79MTEx6N69O/r27YuIiAgcPnwYHTt2lH7pbty4EVOmTMHMmTMRERGBWbNmYfLkyVi3bp10DmNjY4SGhuLq1atYvHgxVq9ejUWLFkn7fX19UbFiRZw+fRpnz57F+PHjUbp0aQDAzZs30bp1a3Tq1AkXL17Eli1bcPz4cQwZMqRAz5PeX/KLVPx98Rb8+7WBdTlTKJUKdG1TH/VdHWBVziRHf5VuKQQM8cGOP87i2fMUAMCxM5GwNDfB0J4tULqUDkyN9TF1iA+AV0OkRHL3OCEZmZlZsChrrNZuUdYE8Y+TiikqKnSKQthKKFksMPj888/h5uaGqVOnYu3atTn2L1y4EC1atMDkyZMBANWqVcPVq1cxf/78t1arEhMTYWRk9NZrb9myBVlZWVizZo2UdYeEhMDMzAyHDx9Gq1at0Lx5c7VjVq1aBTMzMxw5cgSfffaZ1N6jRw/06dNHehwV9eovOktLy/ceunRycgIA3L59G5aWlmr7YmJikJGRgY4dO8LOzg4A4OrqKu2fOnUqFixYgI4dOwIAHBwccPXqVaxcuRJ+fn4AgEmTJkn97e3tMWbMGGzevBljx44FAERHR8Pf31+Kw9HRUeo/e/Zs+Pr6YsSIEdK+4OBgNG3aFMuXL4eenp5avKmpqUhNTZUeJyXxh2hh+GrKeiyd4ouIvTORkZGJC5F3seOPM6jtVEmtXykdJUJm94NCocDoOVuk9mu3YvFNwAbMGNkRUwa3R2ZWFlZtOYK4x0nIysr60E+HiIjeIItkDQDmzp2L5s2bY8yYMTn2RUREwMfHR62tUaNGCAoKQmZmJnR0dHI9p7GxcY7hSkA94bhw4QJu3LgBY2P1v8hSUlJw8+ZNAEBcXBwmTZqEw4cPIz4+HpmZmXjx4gWio6PVjqlXr17+nmwBZFfJcivf1q5dGy1atICrqyu8vLzQqlUrdO7cGWXKlMHz589x8+ZN9OvXDwMGDJCOycjIgKnp/6olW7ZsQXBwMG7evInk5GRkZGTAxOR/FZlRo0ahf//+2LBhAzw9PdGlSxdUqfJqaOzChQu4ePEiNm7cqBZvVlYWoqKi4OzsrBbv7NmzERgYWDgvDElu33+Ez75aDAM9XRgb6iHucRLWzuqDO/cfSX2yEzVb6zJo/80SqaqWbfv+M9i+/wwsyhrjxctUCAF806M5bt9//KGfDlGBmZsZQUdHmWMxwcMnSbA0z1lhppKJq0FloEmTJvDy8sKECRMK7ZxKpRJVq1bNsb0uOTkZ7u7uOH/+vNp2/fp19OjRAwDg5+eH8+fPY/HixTh58iTOnz8Pc3NzaZg0m6GhYaHFni0iIgLAq6rXm3R0dBAWFoa9e/fCxcUFS5YsQfXq1REVFYXk5GQAwOrVq9We1+XLl/HXX38BAE6dOgVfX1+0bdsWe/bswT///IOJEyeqPa+AgABcuXIF3t7eOHjwIFxcXLBr1y7ptfvqq6/Uzn/hwgX8+++/UkL3ugkTJiAxMVHa7t69W9gvl1Z7kZKGuMdJMDXWR4uGzvj96KuFKdmJWpVKFugweCmeJuY9p/Dhk2d4/jINn7esi5S0dBwKv/ahwid6b7qlS8HNyRZHTkdKbVlZWTh6+jrquzoUY2RUmLR5zppsKmsAMGfOHLi5uaF69epq7c7Ozjhx4oRa24kTJ1CtWrU8q2r5VbduXWzZsgWWlpZqFaU3r7Vs2TK0bdsWwKsFCY8ePcq17+t0dXUBAJmZme8V28uXL7Fq1So0adIEFhYWufZRKBRo1KgRGjVqhClTpsDOzg67du3CqFGjYGNjg1u3bsHX1zfXY0+ePAk7OztMnDhRartz506OftWqVUO1atUwcuRIdO/eHSEhIfj8889Rt25dXL16NUcCnBeVSgWVSpWvvpR/zRs6Q6EA/r0Tj8oVLTBteAdcvx2Hjb+cQikdJdbN7Y/aTrboNnIFdHQUsDR/VUV+mvgC6Rmv3psDujRB+MVbeP4yDc0aOCFwWAcELv0ZSf+/CIFI7r7p0RzfBG5AHedKqFvDHst/OoTnL1Ph265hcYdGhUSheLVpcnxJJatkzdXVFb6+vggODlZrHz16NOrXr4/p06fjiy++wKlTp7B06dIcKxvfh6+vL+bPnw8fHx9MmzYNFStWxJ07d7Bz506MHTsWFStWhKOjIzZs2IB69eohKSkJ/v7+0NfXf+e57ezsoFAosGfPHrRt2xb6+vpvnUMXHx+PlJQUPHv2DGfPnsW8efPw6NEj7Ny5M9f+4eHhOHDgAFq1agVLS0uEh4fj4cOH0vBjYGAghg0bBlNTU7Ru3Rqpqak4c+YMnj59ilGjRsHR0RHR0dHYvHkz6tevj99++02qmgGvkkV/f3907twZDg4OuHfvHk6fPo1OnToBeLWStGHDhhgyZAj69+8PQ0NDXL16FWFhYVi6dGlBvgykARMjPUwZ3B42lmZ4mvQCvx48jxnLfkVGZhZsy5dF26a1AADHNqlXrT/7ajFOnPsXAFC3hh3GD/SGoYEu/r0dh1GzfsKWvac/+HMhel8dW7njUUIyZq38DfGPn8G1WgVsDx7MYVD6T5BVsgYA06ZNw5YtW9Ta6tati61bt2LKlCmYPn06ypcvj2nTpr3zVhj5YWBggKNHj2LcuHHo2LEjnj17hgoVKqBFixZSpW3t2rUYOHAg6tatC1tbW8yaNSvXuXVvqlChAgIDAzF+/Hj06dMHvXr1eusK1urVq0OhUMDIyAiVK1dGq1atMGrUKFhbW+fa38TEBEePHkVQUBCSkpJgZ2eHBQsWoE2bNgCA/v37w8DAAPPnz4e/vz8MDQ3h6uoqLQho3749Ro4ciSFDhiA1NRXe3t6YPHkyAgICALwaZn38+DF69eqFuLg4lCtXDh07dpTmndWqVQtHjhzBxIkT0bhxYwghUKVKFXzxxRf5fPWpMOz+8x/s/vOfXPfdjXmCMvXfvTp3UMCGwg6L6IMb2LUpBnZtWtxhUBF5VVnTZM5aIQbzgSnE6zdXIvqAkpKSYGpqCpXrACh0dIs7HKIi8fQ0q8z035WUlAQrc1MkJibmOZWoMK5hamqKysO2Q0f1/nPDM1Of41Zw5yKNtajIZoEBEREREeUku2FQIiIiojdp8607mKwRERGR7GnzalAOgxIRERHJGCtrREREJHtKpQJK5fuXx4QGxxY3JmtEREQkexwGJSIiIiJZYmWNiIiIZI+rQYmIiIhkTJuHQZmsERERkexpc2WNc9aIiIiIZIyVNSIiIpI9ba6sMVkjIiIi2dPmOWscBiUiIiKSMVbWiIiISPYU0HAYFCW3tMZkjYiIiGSPw6BEREREJEusrBEREZHscTUoERERkYxxGJSIiIiIZImVNSIiIpI9DoMSERERyZg2D4MyWSMiIiLZ0+bKGuesEREREckYK2tEREQkfxoOg5bgDzBgskZERETyx2FQIiIiIpIlVtaIiIhI9rR5NSgra0RERCR72cOgmmwFdf/+ffTs2RPm5ubQ19eHq6srzpw5I+0XQmDKlCkoX7489PX14enpiX///VftHE+ePIGvry9MTExgZmaGfv36ITk5uUBxMFkjIiIiesPTp0/RqFEjlC5dGnv37sXVq1exYMEClClTRuozb948BAcHY8WKFQgPD4ehoSG8vLyQkpIi9fH19cWVK1cQFhaGPXv24OjRoxg4cGCBYuEwKBEREcnehx4GnTt3LmxtbRESEiK1OTg4SP8WQiAoKAiTJk2Cj48PAGD9+vWwsrLC7t270a1bN0RERGDfvn04ffo06tWrBwBYsmQJ2rZti++++w42Njb5ioWVNSIiIpK9whoGTUpKUttSU1Nzvd4vv/yCevXqoUuXLrC0tESdOnWwevVqaX9UVBRiY2Ph6ekptZmamqJBgwY4deoUAODUqVMwMzOTEjUA8PT0hFKpRHh4eL6fO5M1IiIi0hq2trYwNTWVttmzZ+fa79atW1i+fDkcHR2xf/9+DBo0CMOGDcO6desAALGxsQAAKysrteOsrKykfbGxsbC0tFTbX6pUKZQtW1bqkx8cBiUiIiLZK6z7rN29excmJiZSu0qlyrV/VlYW6tWrh1mzZgEA6tSpg8uXL2PFihXw8/N77zjeBytrREREJHvZc9Y02QDAxMREbcsrWStfvjxcXFzU2pydnREdHQ0AsLa2BgDExcWp9YmLi5P2WVtbIz4+Xm1/RkYGnjx5IvXJDyZrREREJHsf+tYdjRo1QmRkpFrb9evXYWdnB+DVYgNra2scOHBA2p+UlITw8HB4eHgAADw8PJCQkICzZ89KfQ4ePIisrCw0aNAg37FwGJSIiIjoDSNHjsTHH3+MWbNmoWvXrvj777+xatUqrFq1CsCr5HHEiBGYMWMGHB0d4eDggMmTJ8PGxgYdOnQA8KoS17p1awwYMAArVqxAeno6hgwZgm7duuV7JSjAZI2IiIhKgA9964769etj165dmDBhAqZNmwYHBwcEBQXB19dX6jN27Fg8f/4cAwcOREJCAj755BPs27cPenp6Up+NGzdiyJAhaNGiBZRKJTp16oTg4OCCxS6EEAULn6hwJCUlwdTUFCrXAVDo6BZ3OERF4unppcUdAlGRSUpKgpW5KRITE9Um7Rf2NUxNTdF4bhhK6Rm+93kyUp7j2LiWRRprUeGcNSIiIiIZ4zAoERERyZ4CGg6DFlokHx6TNSIiIpI9pUIBpQbZmibHFjcOgxIRERHJGCtrREREJHsfejWonDBZIyIiItkrrI+bKomYrBEREZHsKRWvNk2OL6k4Z42IiIhIxlhZIyIiIvlTaDiUWYIra0zWiIiISPa0eYEBh0GJiIiIZIyVNSIiIpI9xf//p8nxJRWTNSIiIpI9rgYlIiIiIlliZY2IiIhkjzfFfYdffvkl3yds3779ewdDRERElBttXg2ar2StQ4cO+TqZQqFAZmamJvEQERER0WvylaxlZWUVdRxEREREeVIqFFBqUB7T5NjiptGctZSUFOjp6RVWLERERES50uZh0AKvBs3MzMT06dNRoUIFGBkZ4datWwCAyZMnY+3atYUeIBEREVH2AgNNtpKqwMnazJkzERoainnz5kFXV1dqr1mzJtasWVOowRERERFpuwIna+vXr8eqVavg6+sLHR0dqb127dq4du1aoQZHREREBPxvGFSTraQq8Jy1+/fvo2rVqjnas7KykJ6eXihBEREREb1OmxcYFLiy5uLigmPHjuVo3759O+rUqVMoQRERERHRKwWurE2ZMgV+fn64f/8+srKysHPnTkRGRmL9+vXYs2dPUcRIREREWk7x/5smx5dUBa6s+fj44Ndff8Wff/4JQ0NDTJkyBREREfj111/RsmXLooiRiIiItJw2rwZ9r/usNW7cGGFhYYUdCxERERG94b1vinvmzBlEREQAeDWPzd3dvdCCIiIiInqdUvFq0+T4kqrAydq9e/fQvXt3nDhxAmZmZgCAhIQEfPzxx9i8eTMqVqxY2DESERGRltN0KLMkD4MWeM5a//79kZ6ejoiICDx58gRPnjxBREQEsrKy0L9//6KIkYiIiEhrFbiyduTIEZw8eRLVq1eX2qpXr44lS5agcePGhRocERERUbYSXBzTSIGTNVtb21xvfpuZmQkbG5tCCYqIiIjodRwGLYD58+dj6NChOHPmjNR25swZDB8+HN99912hBkdEREQE/G+BgSZbSZWvylqZMmXUMtLnz5+jQYMGKFXq1eEZGRkoVaoU+vbtiw4dOhRJoERERETaKF/JWlBQUBGHQURERJQ3bR4GzVey5ufnV9RxEBEREeVJmz9u6r1vigsAKSkpSEtLU2szMTHRKCAiIiIi+p8CJ2vPnz/HuHHjsHXrVjx+/DjH/szMzEIJjIiIiCibUqGAUoOhTE2OLW4FXg06duxYHDx4EMuXL4dKpcKaNWsQGBgIGxsbrF+/vihiJCIiIi2nUGi+lVQFrqz9+uuvWL9+PT799FP06dMHjRs3RtWqVWFnZ4eNGzfC19e3KOIkIiIi0koFrqw9efIElStXBvBqftqTJ08AAJ988gmOHj1auNERERER4X+rQTXZSqoCJ2uVK1dGVFQUAMDJyQlbt24F8Krilv3B7kRERESFSZuHQQucrPXp0wcXLlwAAIwfPx7ff/899PT0MHLkSPj7+xd6gERERETarMBz1kaOHCn929PTE9euXcPZs2dRtWpV1KpVq1CDIyIiIgK0ezWoRvdZAwA7OzvY2dkVRixEREREudJ0KLME52r5S9aCg4PzfcJhw4a9dzBEREREueHHTb3DokWL8nUyhULBZI2IiIioEOUrWcte/UlUFK7tmwNjfkwZERG9hRLvsSryjeNLKo3nrBEREREVNW0eBi3JiSYRERHRfx4ra0RERCR7CgWg5GpQIiIiInlSapisaXJsceMwKBEREZGMvVeyduzYMfTs2RMeHh64f/8+AGDDhg04fvx4oQZHREREBPCD3Atkx44d8PLygr6+Pv755x+kpqYCABITEzFr1qxCD5CIiIgoexhUk62kKnCyNmPGDKxYsQKrV69G6dKlpfZGjRrh3LlzhRocERERkbYr8AKDyMhINGnSJEe7qakpEhISCiMmIiIiIjXa/NmgBa6sWVtb48aNGznajx8/jsqVKxdKUERERESvUyoUGm8lVYGTtQEDBmD48OEIDw+HQqHAgwcPsHHjRowZMwaDBg0qihiJiIhIyykLYSupCjwMOn78eGRlZaFFixZ48eIFmjRpApVKhTFjxmDo0KFFESMRERGR1ipwsqZQKDBx4kT4+/vjxo0bSE5OhouLC4yMjIoiPiIiIiKtnrP23p9goKurCxcXl8KMhYiIiChXSmg270yJkputFThZa9as2VtvLHfw4EGNAiIiIiKi/ylwsubm5qb2OD09HefPn8fly5fh5+dXWHERERERSTgMWgCLFi3KtT0gIADJyckaB0RERET0Jn6QeyHo2bMnfvjhh8I6HRERERFBgwUGbzp16hT09PQK63REREREEoUCGi0w0Kph0I4dO6o9FkIgJiYGZ86cweTJkwstMCIiIqJsnLNWAKampmqPlUolqlevjmnTpqFVq1aFFhgRERERFXDOWmZmJvr06YOFCxciJCQEISEhWLt2LebMmcNEjYiIiIpM9gIDTbb3NWfOHCgUCowYMUJqS0lJweDBg2Fubg4jIyN06tQJcXFxasdFR0fD29sbBgYGsLS0hL+/PzIyMgr+3AvSWUdHB61atUJCQkKBL0RERET0vhSF8N/7OH36NFauXIlatWqptY8cORK//vortm3bhiNHjuDBgwdqU8UyMzPh7e2NtLQ0nDx5EuvWrUNoaCimTJlS4BgKvBq0Zs2auHXrVoEvRERERPS+iqOylpycDF9fX6xevRplypSR2hMTE7F27VosXLgQzZs3h7u7O0JCQnDy5En89ddfAIA//vgDV69exY8//gg3Nze0adMG06dPx/fff4+0tLSCPfeCBj5jxgyMGTMGe/bsQUxMDJKSktQ2IiIiIrl6M29JTU3Ns+/gwYPh7e0NT09PtfazZ88iPT1drd3JyQmVKlXCqVOnALy6S4arqyusrKykPl5eXkhKSsKVK1cKFHO+FxhMmzYNo0ePRtu2bQEA7du3V/vYKSEEFAoFMjMzCxQAERER0bsU1k1xbW1t1dqnTp2KgICAHP03b96Mc+fO4fTp0zn2xcbGQldXF2ZmZmrtVlZWiI2Nlfq8nqhl78/eVxD5TtYCAwPx9ddf49ChQwW6ABEREZGmFArFWz+bPD/HA8Ddu3dhYmIitatUqhx97969i+HDhyMsLEwW95DNd7ImhAAANG3atMiCISIiIipKJiYmaslabs6ePYv4+HjUrVtXasvMzMTRo0exdOlS7N+/H2lpaUhISFCrrsXFxcHa2hoAYG1tjb///lvtvNmrRbP75FeB5qxpktESERERva8PucCgRYsWuHTpEs6fPy9t9erVg6+vr/Tv0qVL48CBA9IxkZGRiI6OhoeHBwDAw8MDly5dQnx8vNQnLCwMJiYmcHFxKdBzL9BNcatVq/bOhO3JkycFCoCIiIjoXT7kJxgYGxujZs2aam2GhoYwNzeX2vv164dRo0ahbNmyMDExwdChQ+Hh4YGGDRsCAFq1agUXFxd8+eWXmDdvHmJjYzFp0iQMHjw416HXtylQshYYGJjjEwyIiIiItM2iRYugVCrRqVMnpKamwsvLC8uWLZP26+joYM+ePRg0aBA8PDxgaGgIPz8/TJs2rcDXUojsyWjvoFQqERsbC0tLywJfhCg3SUlJMDU1RdT9xzB+x/wBopLKUK/An+pHVGIkJSXBytwUiYmJ75wHpsk1TE1NMXvvBegZGr/3eVKeP8OENrWLNNaiku+fIpyvRkRERMWlsG7dURLle4FBPgtwRERERFSI8l1Zy8rKKso4iIiIiPKm4QKD9/xoUFngZAoiIiKSPSUUUGqQcWlybHFjskZERESy9yFv3SE3Bf4gdyIiIiL6cFhZIyIiItnT5tWgTNaIiIhI9pQKBZQajGVqcmxx4zAoERERkYyxskZERESyp80LDJisERERkewpoeEwaAm+dQeHQYmIiIhkjJU1IiIikj0OgxIRERHJmBKaDQeW5KHEkhw7ERER0X8eK2tEREQkewqFAgoNxjI1Oba4MVkjIiIi2VP8/6bJ8SUVkzUiIiKSPX6CARERERHJEitrREREVCKU3NqYZpisERERkexp833WOAxKREREJGOsrBEREZHs8dYdRERERDLGTzAgIiIiIlliZY2IiIhkj8OgRERERDKmzZ9gwGFQIiIiIhljZY2IiIhkj8OgRERERDKmzatBmawRERGR7GlzZa0kJ5pERERE/3msrBEREZHsafNqUCZrREREJHv8IHciIiIikiVW1oiIiEj2lFBAqcFgpibHFjcma0RERCR7HAYlIiIiIlliZY2IiIhkT/H//2lyfEnFZI2IiIhkj8OgRERERCRLrKwRERGR7Ck0XA3KYVAiIiKiIqTNw6BM1oiIiEj2tDlZ45w1IiIiIhljZY2IiIhkj7fuICIiIpIxpeLVpsnxJRWHQYmIiIhkjJU1IiIikj0OgxIRERHJGFeDEhEREZEssbJGREREsqeAZkOZJbiwxmSNiIiI5I+rQYmIiIhIllhZK2Hs7e0xYsQIjBgxorhDIZla8MNeLArZr9ZWpZIljmz8FgAwbv4WHD9zHbGPkmCor4t6rg749ut2qGpnVRzhEhWa1VuPYMmPBxD/OAk1HStgrn8XuNewL+6wqJBo82rQ/2xlrXfv3ujQoUOO9sOHD0OhUCAhIaHIYwgICICbm1u++ikUCigUCpQqVQrlypVDkyZNEBQUhNTUVLW+p0+fxsCBA4soYvqvqO5gjXO7p0nbru+HSftcq9tiwYQeOPzjeGxc8DWEEOgxajkyM7OKMWIizez84ywmBe3CuP5tcHjDONR0rIBOQ7/HwyfPijs0KiTZq0E12Uqq/2yyVpyEEMjIyCjQMTVq1EBMTAyio6Nx6NAhdOnSBbNnz8bHH3+MZ8/+98PGwsICBgYGhR0y/cfo6ChhaW4ibWXNjKR9Pdt/jIZuVWBb3hyu1W3h398bD+ITcDf2STFGTKSZZZsOoleHj+Hb3gNOlctj4YRuMNDTxY+/nCru0KiQKAphK6mYrAE4fvw4GjduDH19fdja2mLYsGF4/vy5tH/Dhg2oV68ejI2NYW1tjR49eiA+Pl7an12t27t3L9zd3aFSqfDjjz8iMDAQFy5ckKpmoaGhecZQqlQpWFtbw8bGBq6urhg6dCiOHDmCy5cvY+7cuVI/e3t7BAUFAXiVFAYEBKBSpUpQqVSwsbHBsGH/q6CkpqZizJgxqFChAgwNDdGgQQMcPnxY2v/48WN0794dFSpUgIGBAVxdXfHTTz+pxbV9+3a4urpCX18f5ubm8PT0VHtt1qxZA2dnZ+jp6cHJyQnLli0r6MtPRSDq3iO4d5iCj7tOx5BpG3A/7mmu/V68TMXW38NRqbw5bCzNPmyQRIUkLT0D56/dxacfVZfalEolmn5UHacvRRVjZESFQ+uTtZs3b6J169bo1KkTLl68iC1btuD48eMYMmSI1Cc9PR3Tp0/HhQsXsHv3bty+fRu9e/fOca7x48djzpw5iIiIQMuWLTF69GipYhYTE4MvvviiQLE5OTmhTZs22LlzZ677d+zYgUWLFmHlypX4999/sXv3bri6ukr7hwwZglOnTmHz5s24ePEiunTpgtatW+Pff/8FAKSkpMDd3R2//fYbLl++jIEDB+LLL7/E33//DQCIiYlB9+7d0bdvX0RERODw4cPo2LEjhBAAgI0bN2LKlCmYOXMmIiIiMGvWLEyePBnr1q3LNd7U1FQkJSWpbVT46rjYYdG3PbDhu68xa3Rn3I15jI6Dg5H8IkXqs27XcVRrNRbVWo3DofAIbFo0CLqlOYWVSqbHCcnIzMyCRVljtXaLsiaIf8yfM/8VSiigVGiwleDa2n/6p/OePXtgZGSk1paZman2ePbs2fD19ZUm7Ds6OiI4OBhNmzbF8uXLoaenh759+0r9K1eujODgYNSvXx/Jyclq5582bRpatmwpPTYyMpIqZu/LyckJf/zxR677oqOjYW1tDU9PT5QuXRqVKlXCRx99JO0LCQlBdHQ0bGxsAABjxozBvn37EBISglmzZqFChQoYM2aMdL6hQ4di//792Lp1Kz766CPExMQgIyMDHTt2hJ2dHQCoJYNTp07FggUL0LFjRwCAg4MDrl69ipUrV8LPzy9HvLNnz0ZgYOB7vxaUP80bukj/dqlqgzoudmjYZRp+PXge3T9rCAD4vKU7GterjvjHSVi5+SAGTQnFrmXDoacqXVxhExG9laZDmSU3VfuPV9aaNWuG8+fPq21r1qxR63PhwgWEhobCyMhI2ry8vJCVlYWoqFfl87Nnz6Jdu3aoVKkSjI2N0bRpUwCvEqLX1atXr9CfgxACijxmRXbp0gUvX75E5cqVMWDAAOzatUuaK3fp0iVkZmaiWrVqas/tyJEjuHnzJoBXiev06dPh6uqKsmXLwsjICPv375eeV+3atdGiRQu4urqiS5cuWL16NZ4+fTWc9vz5c9y8eRP9+vVTO/+MGTOk879pwoQJSExMlLa7d+8W9stFuTA1NkBlWwvcvvdQajMx0kdlWws0dKuCldP74EZ0PPYdu1iMURK9P3MzI+joKHMsJnj4JAmW5ibFFBVR4flPV9YMDQ1RtWpVtbZ79+6pPU5OTsZXX32lNtcrW6VKlfD8+XN4eXnBy8sLGzduhIWFBaKjo+Hl5YW0tLQc1ytsERERcHBwyHWfra0tIiMj8eeffyIsLAzffPMN5s+fjyNHjiA5ORk6Ojo4e/YsdHR01I7LrgbOnz8fixcvRlBQEFxdXWFoaIgRI0ZIz0tHRwdhYWE4efIk/vjjDyxZsgQTJ05EeHi4tMhh9erVaNCggdr537xeNpVKBZVKpdHrQQX3/EUqbt9/jI5euf/SEuLVHwVpaQVbFEMkF7qlS8HNyRZHTkfC+9PaAICsrCwcPX0d/bs0KeboqNBocWntP52s5UfdunVx9erVHEldtkuXLuHx48eYM2cObG1tAQBnzpzJ17l1dXVzDLsWxLVr17Bv3z5MmDAhzz76+vpo164d2rVrh8GDB8PJyQmXLl1CnTp1kJmZifj4eDRu3DjXY0+cOAEfHx/07NkTwKsfbtevX4eLy/+G0RQKBRo1aoRGjRphypQpsLOzw65duzBq1CjY2Njg1q1b8PX1fe/nSIVv+vc/w/PjGqhoXQZxj5Kw4Ie90FEq0KGFO+48eIRfD/yDJh85wdzMCDHxCfh+45/QU5VGcw+Xd5+cSKa+6dEc3wRuQB3nSqhbwx7LfzqE5y9T4duuYXGHRoVEm++zpvXJ2rhx49CwYUMMGTIE/fv3h6GhIa5evYqwsDAsXboUlSpVgq6uLpYsWYKvv/4aly9fxvTp0/N1bnt7e0RFReH8+fOoWLEijI2N86wsZWRkIDY2FllZWXj8+DEOHz6MGTNmwM3NDf7+/rkeExoaiszMTDRo0AAGBgb48ccfoa+vDzs7O5ibm8PX1xe9evXCggULUKdOHTx8+BAHDhxArVq14O3tDUdHR2zfvh0nT55EmTJlsHDhQsTFxUnJWnh4OA4cOIBWrVrB0tIS4eHhePjwIZydnQEAgYGBGDZsGExNTdG6dWukpqbizJkzePr0KUaNGvUeXw0qDDHxCRgSuB5Pk56jrJkRPnKtjF9WjoR5GSOkZ2Yi/OItrNl2BInPXqJcWWM0qF0FPy8fjnJljN99ciKZ6tjKHY8SkjFr5W+If/wMrtUqYHvwYA6D0n+C1idrtWrVwpEjRzBx4kQ0btwYQghUqVJFWrlpYWGB0NBQfPvttwgODkbdunXx3XffoX379u88d6dOnbBz5040a9YMCQkJCAkJyXUVKQBcuXIF5cuXh46ODkxNTeHi4oIJEyZg0KBBeSZ4ZmZmmDNnDkaNGoXMzEy4urri119/hbm5OQAgJCQEM2bMwOjRo3H//n2UK1cODRs2xGeffQYAmDRpEm7dugUvLy8YGBhg4MCB6NChAxITEwEAJiYmOHr0KIKCgpCUlAQ7OzssWLAAbdq0AQD0798fBgYGmD9/Pvz9/WFoaAhXV1d+ukIxWxaYc3FHNutyptgw/6sPGA3RhzOwa1MM7Nq0uMOgoqLpjW1LbmENCpF9HwaiDywpKQmmpqaIuv8Yxib865f+mwz1tP5vYvoPS0pKgpW5KRITE2FSRD/Hs39XHDwfDSPj979G8rMkNHerVKSxFpX/9GpQIiIiopKOf/IRERGR/GnxalBW1oiIiEj2FIXwX0HMnj0b9evXh7GxMSwtLdGhQwdERkaq9UlJScHgwYNhbm4OIyMjdOrUCXFxcWp9oqOj4e3tDQMDA1haWsLf37/Anx/OZI2IiIhkT6HQfCuII0eOYPDgwfjrr78QFhaG9PR0tGrVSu3zsUeOHIlff/0V27Ztw5EjR/DgwQPpU32AVzef9/b2RlpaGk6ePIl169YhNDQUU6ZMKdhz5wIDKi5cYEDagAsM6L/sQy4wOHzxrsYLDD6tZfvesT58+BCWlpY4cuQImjRpgsTERFhYWGDTpk3o3LkzgFf3R3V2dsapU6fQsGFD7N27F5999hkePHgAKysrAMCKFSswbtw4PHz4ELq6uvm6NitrREREJHuKQtiAV8nf61tqamq+rp99W6uyZcsCePVRlOnp6fD09JT6ODk5oVKlSjh16hQA4NSpU3B1dZUSNQDw8vJCUlISrly5ku/nzmSNiIiI5K+QsjVbW1uYmppK2+zZs9956aysLIwYMQKNGjVCzZo1AQCxsbHQ1dWFmZmZWl8rKyvExsZKfV5P1LL3Z+/LL9bniYiISGvcvXtXbRg0P59ZPXjwYFy+fBnHjx8vytDyxGSNiIiIZK+wPhvUxMSkQHPWhgwZgj179uDo0aOoWLGi1G5tbY20tDQkJCSoVdfi4uJgbW0t9fn777/Vzpe9WjS7T35wGJSIiIhk70OvBhVCYMiQIdi1axcOHjwIBwcHtf3u7u4oXbo0Dhw4ILVFRkYiOjoaHh4eAAAPDw9cunQJ8fHxUp+wsDCYmJhIn8OdH6ysEREREb1h8ODB2LRpE37++WcYGxtLc8xMTU2hr68PU1NT9OvXD6NGjULZsmVhYmKCoUOHwsPDAw0bNgQAtGrVCi4uLvjyyy8xb948xMbGYtKkSRg8eHC+hl+zMVkjIiIi2fvQH2CwfPlyAMCnn36q1h4SEoLevXsDABYtWgSlUolOnTohNTUVXl5eWLZsmdRXR0cHe/bswaBBg+Dh4QFDQ0P4+flh2rRpBYud91mj4sL7rJE24H3W6L/sQ95n7fiVexrfZ+2TGhX5Qe5EREREVLj4Jx8RERHJXmGtBi2JmKwRERGR7L3Pis43jy+pmKwRERGR7H3oBQZywjlrRERERDLGyhoRERHJnxaX1pisERERkexp8wIDDoMSERERyRgra0RERCR7XA1KREREJGNaPGWNw6BEREREcsbKGhEREcmfFpfWmKwRERGR7HE1KBERERHJEitrREREJHtcDUpEREQkY1o8ZY3JGhEREZUAWpytcc4aERERkYyxskZERESyp82rQZmsERERkfxpuMCgBOdqHAYlIiIikjNW1oiIiEj2tHh9AZM1IiIiKgG0OFvjMCgRERGRjLGyRkRERLLH1aBEREREMqbNHzfFYVAiIiIiGWNljYiIiGRPi9cXMFkjIiKiEkCLszUma0RERCR72rzAgHPWiIiIiGSMlTUiIiKSPQU0XA1aaJF8eEzWiIiISPa0eMoah0GJiIiI5IyVNSIiIpI9bb4pLpM1IiIiKgG0dyCUw6BEREREMsbKGhEREckeh0GJiIiIZEx7B0E5DEpEREQka6ysERERkexxGJSIiIhIxrT5s0GZrBEREZH8afGkNc5ZIyIiIpIxVtaIiIhI9rS4sMZkjYiIiORPmxcYcBiUiIiISMZYWSMiIiLZ42pQIiIiIjnT4klrHAYlIiIikjFW1oiIiEj2tLiwxmSNiIiI5I+rQYmIiIhIllhZIyIiohJAs9WgJXkglMkaERERyR6HQYmIiIhIlpisEREREckYh0GJiIhI9rR5GJTJGhEREcmeNn/cFIdBiYiIiGSMlTUiIiKSPQ6DEhEREcmYNn/cFIdBiYiIiGSMlTUiIiKSPy0urTFZIyIiItnjalAiIiIikiVW1oiIiEj2uBqUiIiISMa0eMoakzUiIiIqAbQ4W+OcNSIiIqI8fP/997C3t4eenh4aNGiAv//++4PHwGSNiIiIZE9RCP8V1JYtWzBq1ChMnToV586dQ+3ateHl5YX4+PgieIZ5Y7JGREREspe9wECTraAWLlyIAQMGoE+fPnBxccGKFStgYGCAH374ofCf4FtwzhoVGyEEAODZs6RijoSo6GSm8ccs/Xc9S3r18zv753lRSkrS7HdF9vFvnkelUkGlUuXon5aWhrNnz2LChAlSm1KphKenJ06dOqVRLAXFnyJUbJ49ewYAqOXkUMyREBGRJp49ewZTU9MiObeuri6sra3h6GCr8bmMjIxga6t+nqlTpyIgICBH30ePHiEzMxNWVlZq7VZWVrh27ZrGsRQEkzUqNjY2Nrh79y6MjY2hKMk3wClBkpKSYGtri7t378LExKS4wyEqVHx/f3hCCDx79gw2NjZFdg09PT1ERUUhLS1N43MJIXL8vsmtqiY3TNao2CiVSlSsWLG4w9BKJiYm/GVG/1l8f39YRVVRe52enh709PSK/DqvK1euHHR0dBAXF6fWHhcXB2tr6w8aCxcYEBEREb1BV1cX7u7uOHDggNSWlZWFAwcOwMPD44PGwsoaERERUS5GjRoFPz8/1KtXDx999BGCgoLw/Plz9OnT54PGwWSNSIuoVCpMnTq1RMzRICoovr+psH3xxRd4+PAhpkyZgtjYWLi5uWHfvn05Fh0UNYX4EOttiYiIiOi9cM4aERERkYwxWSMiIiKSMSZrRERERDLGZI2ICqx3797o0KFDcYdBVCD29vYICgoq7jCICozJGmm93r17Q6FQYM6cOWrtu3fv1viTFUJDQ2FmZpbrPoVCgd27d2t0/vw4fPgwFAoFEhIS8tVPoVBAqVTC1NQUderUwdixYxETE6PWd/HixQgNDS26oKlY5ZWM5/e9VBgCAgLg5uaWr37Z79tSpUqhXLlyaNKkCYKCgpCamqrW9/Tp0xg4cGARRUxUdJisEeHV3bHnzp2Lp0+fFncohSo9Pb3Ax0RGRuLBgwc4ffo0xo0bhz///BM1a9bEpUuXpD6mpqZ5JqFEmhBCICMjo0DH1KhRAzExMYiOjsahQ4fQpUsXzJ49Gx9//LH0GcQAYGFhAQMDg8IOmajIMVkjAuDp6Qlra2vMnj37rf127NiBGjVqQKVSwd7eHgsWLCi0GO7evYuuXbvCzMwMZcuWhY+PD27fvi3tP336NFq2bIly5crB1NQUTZs2xblz59TOoVAosHz5crRv3x6GhoYYMGAAmjVrBgAoU6YMFAoFevfu/dY4LC0tYW1tjWrVqqFbt244ceIELCwsMGjQIKnPm5WX7du3w9XVFfr6+jA3N4enpyeeP38u7V+zZg2cnZ2hp6cHJycnLFu2TO2a48aNQ7Vq1WBgYIDKlStj8uTJaonmhQsX0KxZMxgbG8PExATu7u44c+aMtP/48eNo3Lgx9PX1YWtri2HDhqldn4rOu177DRs2oF69ejA2Noa1tTV69OiB+Ph4aX92tW7v3r1wd3eHSqXCjz/+iMDAQFy4cEGqmr2tkluqVClYW1vDxsYGrq6uGDp0KI4cOYLLly9j7ty5Ur/Xh0GFEAgICEClSpWgUqlgY2ODYcOGSX1TU1MxZswYVKhQAYaGhmjQoAEOHz4s7X/8+DG6d++OChUqwMDAAK6urvjpp5/U4tL0+4JIIoi0nJ+fn/Dx8RE7d+4Uenp64u7du0IIIXbt2iVe/xY5c+aMUCqVYtq0aSIyMlKEhIQIfX19ERISkue5Q0JChKmpaa77AIhdu3YJIYRIS0sTzs7Oom/fvuLixYvi6tWrokePHqJ69eoiNTVVCCHEgQMHxIYNG0RERIS4evWq6Nevn7CyshJJSUlq57S0tBQ//PCDuHnzprh9+7bYsWOHACAiIyNFTEyMSEhIyDWeQ4cOCQDi6dOnOfYtWrRIABBxcXFqr5kQQjx48ECUKlVKLFy4UERFRYmLFy+K77//Xjx79kwIIcSPP/4oypcvL3bs2CFu3bolduzYIcqWLStCQ0Ol80+fPl2cOHFCREVFiV9++UVYWVmJuXPnSvtr1KghevbsKSIiIsT169fF1q1bxfnz54UQQty4cUMYGhqKRYsWievXr4sTJ06IOnXqiN69e+f5daG3e/3r+7o33yP5ee3Xrl0rfv/9d3Hz5k1x6tQp4eHhIdq0aZPjnLVq1RJ//PGHuHHjhrh3754YPXq0qFGjhoiJiRExMTHixYsXucY6depUUbt27Vz3+fj4CGdnZ+mxnZ2dWLRokRBCiG3btgkTExPx+++/izt37ojw8HCxatUqqW///v3Fxx9/LI4ePSpu3Lgh5s+fL1Qqlbh+/boQQoh79+6J+fPni3/++UfcvHlTBAcHCx0dHREeHi6EKJzvC6JsTNZI673+i6lhw4aib9++QoicyVqPHj1Ey5Yt1Y719/cXLi4ueZ47JCREABCGhoY5tteTtQ0bNojq1auLrKws6djU1FShr68v9u/fn+u5MzMzhbGxsfj111+lNgBixIgRav3eloTlt9/evXsFAOkX0euv2dmzZwUAcfv27VzPW6VKFbFp0ya1tunTpwsPD488Y5k/f75wd3eXHhsbG+f5S6xfv35i4MCBam3Hjh0TSqVSvHz5Ms9rUN78/PyEjo5Ojvesnp6e2nvkfV7706dPCwBS0pL9vtu9e7dav7clYfntN27cOKGvry89fj1ZW7BggahWrZpIS0vLcdydO3eEjo6OuH//vlp7ixYtxIQJE/KMxdvbW4wePVoIUTTfF6S9+HFTRK+ZO3cumjdvjjFjxuTYFxERAR8fH7W2Ro0aISgoCJmZmdDR0cn1nMbGxjmGKwHA0dFR+veFCxdw48YNGBsbq/VJSUnBzZs3AQBxcXGYNGkSDh8+jPj4eGRmZuLFixeIjo5WO6ZevXr5e7IFIP7/g05yW3BRu3ZttGjRAq6urvDy8kKrVq3QuXNnlClTBs+fP8fNmzfRr18/DBgwQDomIyMDpqam0uMtW7YgODgYN2/eRHJyMjIyMmBiYiLtHzVqFPr3748NGzbA09MTXbp0QZUqVQC8eu0uXryIjRs3qsWblZWFqKgoODs7F/rroQ2aNWuG5cuXq7WFh4ejZ8+e0uP8vPZnz55FQEAALly4gKdPnyIrKwsAEB0dDRcXF+m4onrf5rVIqEuXLggKCkLlypXRunVrtG3bFu3atUOpUqVw6dIlZGZmolq1amrHpKamwtzcHACQmZmJWbNmYevWrbh//z7S0tKQmpoqzYkrjO8LomxM1ohe06RJE3h5eWHChAnvnNuVX0qlElWrVn1rn+TkZLi7u6v90stmYWEBAPDz88Pjx4+xePFi2NnZQaVSwcPDA2lpaWr9DQ0NCyXu10VERAB4NefnTTo6OggLC8PJkyfxxx9/YMmSJZg4cSLCw8OlX1yrV69GgwYNchwHAKdOnYKvry8CAwPh5eUFU1NTbN68WW0+YEBAAHr06IHffvsNe/fuxdSpU7F582Z8/vnnSE5OxldffaU23yhbpUqVCusl0DqGhoY53rf37t1Te/yu1/758+fw8vKCl5cXNm7cCAsLC0RHR8PLy+uDvW8dHBxy3Wdra4vIyEj8+eefCAsLwzfffIP58+fjyJEjSE5Oho6ODs6ePZvjjzAjIyMAwPz587F48WIEBQXB1dUVhoaGGDFihPS8NP2+IHodkzWiN8yZMwdubm6oXr26WruzszNOnDih1nbixAlUq1ZN4x+wdevWxZYtW2BpaalWUXrzWsuWLUPbtm0BvFqQ8OjRo3eeW1dXF8CrSsD7ePnyJVatWoUmTZpIieObFAoFGjVqhEaNGmHKlCmws7PDrl27MGrUKNjY2ODWrVvw9fXN9diTJ0/Czs4OEydOlNru3LmTo1+1atVQrVo1jBw5Et27d0dISAg+//xz1K1bF1evXn1nQkyF712v/aVLl/D48WPMmTMHtra2AKC2MORtdHV13/s9CwDXrl3Dvn37MGHChDz76Ovro127dmjXrh0GDx4MJycnXLp0CXXq1EFmZibi4+PRuHHjXI89ceIEfHx8pEpjVlYWrl+/rlYt1OT7guh1TNaI3uDq6gpfX18EBwertY8ePRr169fH9OnT8cUXX+DUqVNYunRpoazg8vX1xfz58+Hj44Np06ahYsWKuHPnDnbu3ImxY8eiYsWKcHR0lFbWJSUlwd/fH/r6+u88t52dHRQKBfbs2YO2bdtCX19fqg7kJj4+HikpKXj27BnOnj2LefPm4dGjR9i5c2eu/cPDw3HgwAG0atUKlpaWCA8Px8OHD6Xhx8DAQAwbNgympqZo3bo1UlNTcebMGTx9+hSjRo2Co6MjoqOjsXnzZtSvXx+//fYbdu3aJZ3/5cuX8Pf3R+fOneHg4IB79+7h9OnT6NSpE4BXK0kbNmyIIUOGoH///jA0NMTVq1cRFhaGpUuXFuTLQAX0rte+UqVK0NXVxZIlS/D111/j8uXLmD59er7ObW9vj6ioKJw/fx4VK1aEsbExVCpVrn0zMjIQGxuLrKwsPH78GIcPH8aMGTPg5uYGf3//XI8JDQ1FZmYmGjRoAAMDA/z444/Q19eHnZ0dzM3N4evri169emHBggWoU6cOHj58iAMHDqBWrVrw9vaGo6Mjtm/fjpMnT6JMmTJYuHAh4uLipGRN0+8LIjXFO2WOqPjltvItKipK6Orqije/RbZv3y5cXFxE6dKlRaVKlcT8+fPfeu78rgYVQoiYmBjRq1cvUa5cOaFSqUTlypXFgAEDRGJiohBCiHPnzol69eoJPT094ejoKLZt26Y2YTq3c2abNm2asLa2FgqFQvj5+eUaT/ZEbwBCoVAIY2NjUbt2beHv7y9iYmLU+r7+ml29elV4eXkJCwsLoVKpRLVq1cSSJUvU+m/cuFG4ubkJXV1dUaZMGdGkSROxc+dOab+/v78wNzcXRkZG4osvvhCLFi2SXrfU1FTRrVs3YWtrK3R1dYWNjY0YMmSI2gT2v//+W7Rs2VIYGRkJQ0NDUatWLTFz5sxcnye9W35Xgwrx7td+06ZNwt7eXqhUKuHh4SF++eUXAUD8888/eZ5TCCFSUlJEp06dhJmZmQCQ56rrqVOnSu9bHR0dUbZsWfHJJ5+IRYsWiZSUFLW+r3+/7Nq1SzRo0ECYmJgIQ0ND0bBhQ/Hnn39KfdPS0sSUKVOEvb29KF26tChfvrz4/PPPxcWLF4UQQjx+/Fj4+PgIIyMjYWlpKSZNmiR69epVqN8XRNkUQvz/zGEiIiIikh3eFJeIiIhIxpisEREREckYkzUiIiIiGWOyRkRERCRjTNaIiIiIZIzJGhEREZGMMVkjIiIikjEma0Sk1Xr37o0OHTpIjz/99FOMGDHig8dx+PBhKBQKJCQk5NlHoVBg9+7d+T5nQEAA3NzcNIrr9u3bUCgUOH/+vEbnIaL3x2SNiGSnd+/eUCgUUCgU0NXVRdWqVTFt2jRkZGQU+bV37tyZ749Eyk+CRUSkKX42KBHJUuvWrRESEoLU1FT8/vvvGDx4MEqXLp3rB3OnpaVJH1ivqbJlyxbKeYiICgsra0QkSyqVCtbW1rCzs8OgQYPg6emJX375BcD/hi5nzpwJGxsbVK9eHQBw9+5ddO3aFWZmZihbtix8fHxw+/Zt6ZyZmZkYNWoUzMzMYG5ujrFjx+LNT9x7cxg0NTUV48aNg62tLVQqFapWrYq1a9fi9u3baNasGQCgTJkyUCgU6N27NwAgKysLs2fPhoODA/T19VG7dm1s375d7Tq///47qlWrBn19fTRr1kwtzvwaN24cqlWrBgMDA1SuXBmTJ09Genp6jn4rV66Era0tDAwM0LVrVyQmJqrtX7NmDZydnaGnpwcnJycsW7aswLEQUdFhskZEJYK+vj7S0tKkxwcOHEBkZCTCwsKwZ88epKenw8vLC8bGxjh27BhOnDgBIyMjtG7dWjpuwYIFCA0NxQ8//IDjx4/jyZMn2LVr11uv26tXL/z0008IDg5GREQEVq5cCSMjI9ja2mLHjh0AgMjISMTExGDx4sUAgNmzZ2P9+vVYsWIFrly5gpEjR6Jnz544cuQIgFdJZceOHdGuXTucP38e/fv3x/jx4wv8mhgbGyM0NBRXr17F4sWLsXr1aixatEitz40bN7B161b8+uuv2LdvH/755x9888030v6NGzdiypQpmDlzJiIiIjBr1ixMnjwZ69atK3A8RFREivmD5ImIcvDz8xM+Pj5CCCGysrJEWFiYUKlUYsyYMdJ+KysrkZqaKh2zYcMGUb16dZGVlSW1paamCn19fbF//34hhBDly5cX8+bNk/anp6eLihUrStcSQoimTZuK4cOHCyGEiIyMFABEWFhYrnEeOnRIABBPnz6V2lJSUoSBgYE4efKkWt9+/fqJ7t27CyGEmDBhgnBxcVHbP27cuBznehMAsWvXrjz3z58/X7i7u0uPp06dKnR0dMS9e/ektr179wqlUiliYmKEEEJUqVJFbNq0Se0806dPFx4eHkIIIaKiogQA8c8//+R5XSIqWpyzRkSytGfPHhgZGSE9PR1ZWVno0aMHAgICpP2urq5q89QuXLiAGzduwNjYWO08KSkpuHnzJhITExETE4MGDRpI+0qVKoV69erlGArNdv78eejo6KBp06b5jvvGjRt48eIFWrZsqdaelpaGOnXqAAAiIiLU4gAADw+PfF8j25YtWxAcHIybN28iOTkZGRkZMDExUetTqVIlVKhQQe06WVlZiIyMhLGxMW7evIl+/fphwIABUp+MjAyYmpoWOB4iKhpM1ohIlpo1a4bly5dDV1cXNjY2KFVK/ceVoaGh2uPk5GS4u7tj48aNOc5lYWHxXjHo6+sX+Jjk5GQAwG+//aaWJAGv5uEVllOnTsHX1xeBgYHw8vKCqakpNm/ejAULFhQ41tWrV+dIHnV0dAotViLSDJM1IpIlQ0NDVK1aNd/969atiy1btsDS0jJHdSlb+fLlER4ejiZNmgB4VUE6e/Ys6tatm2t/V1dXZGVl4ciRI/D09MyxP7uyl5mZKbW5uLhApVIhOjo6z4qcs7OztFgi219//fXuJ/makydPws7ODhMnTpTa7ty5k6NfdHQ0Hjx4ABsbG+k6SqUS1atXh5WVFWxsbHDr1i34+voW6PpE9OFwgQER/Sf4+vqiXLly8PHxwbFjxxAVFYXDhw9j2LBhuHfvHgBg+PDhmDNnDnbv3o1r167hm2++ees90uzt7eHn54e+ffti9+7d0jm3bt0KALCzs4NCocCePXvw8OFDJCcnw9jYGGPGjMHIkSOxbt063Lx5E+fOncOSJUukSftff/01/v33X/j7+yMyMhKbNm1CaGhogZ6vo6MjoqOjsXnzZty8eRPBwcG5LpbQ09ODn58fLly4gGPHjmHYsGHo2rUrrK2tAQCBgYGYPXs2goODcf36dVy6dAkhISFYuHBhgeIhoqLDZI2I/hMMDAxw9OhRVKpUCR07doSzszP69euHlJQUqdI2evRofPnll/Dz84OHhweMjY3x+eefv/W8y5cvR+fOnfHNN9/AyckJAwYMwPPnzwEAFSpUQGBgIMaPHw8rKysMGTIEADB9+nRMnjwZs2fPhrOzM1q3bo3ffvsNDg4OAF7NI9uxYwd2796N2rVrY8WKFZg1a1aBnm/79u0xcuRIDBkyBG5ubjh58iQmT56co1/VqlXRsWNHtG3bFq1atUKtWrXUbs3Rv39/rFmzBiEhIXB1dUXTpk0RGhoqxUpExU8h8ppZS0RERETFjpU1IiIiIhljskZEREQkY0zWiIiIiGSMyRoRERGRjDFZIyIiIpIxJmtEREREMsZkjYiIiEjGmKwRERERyRiTNSIiIiIZY7JGREREJGNM1oiIiIhkjMkaERERkYz9H0iEVHNmOpZnAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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YOHEi0dHRrF69Os1t/fXXX3bL+/fvx2KxpFlN9MILL1CrVi26dOlyw/giIiKIjIykZcuWjB49mj59+thVtCxYsIBevXrZbjvce++9NG7c2Hbl5N+6d+/Os88+i4+PD19++SUrV660ezbQzWzatIk6deqkOnmlZdeuXcD15DQ9pUuX5rPPPsPPz4+BAweycuVKevTokeGYbqRUqVIA7N27N9V7e/futb2f8u/+/ftT9UurLS1hYWEMGDCAr7/+mkOHDlGoUCG7wb8ZvaVUtmxZAHbu3Jmh/hnx4osvEhgYyMiRI21t5cqV4/Lly0RGRqb5SrklVqpUKU6ePJnqalpGj0vKvv755x8aNWqU5r7++/v2v//9j1deeYVNmzYxZ84c/vzzT+bOnWt739vbmzZt2vDOO+9w4MAB+vfvzyeffJJuTBn9ORDXoeRGcpS77rqLevXqMW3aNNv4Dn9/f4YOHcrevXvTLIVdsmQJ0dHRREVF8b///c+2zvPPP8/u3bt5/vnn07yV9Nlnn/Hbb7/h6+ub6j/bf1eVwPVS2gEDBtCwYUP69+9PXFxcqm3+t4Jq+vTpAKn+et+4cSPffPMNr776aoZPeini4uJISkoiKSkJsCaF//1806dPTzOp27JlC2PGjOHVV1+lU6dOREZGZmj8DFiTlV27dtG2bdsM9Z83bx5hYWE3TW6SkpLo3r07d9xxB2+88QaRkZG2E/ztqlu3LqGhocycOdPu1sayZcvYvXs3999/PwDFihWjWrVqfPLJJ1y+fNnW78cff2THjh033EdycrLd7T+A0NBQihUrZrfPgICAVP3SUrhwYZo2bcqsWbM4evSo3Xs3uiV6I/nz56d///6sWLGCbdu2AdarTRs3bmTFihWp+l+8eNH28xUVFUViYiIffPCB7X2LxZJmtWB6OnfuTHJyMi+99FKq95KSkmyJ+IULF1J9xlq1agHYjuU///xj9767u7vtyuO/j/e/ZfTnQFyHbktJjjNs2DA6depEdHS0bVDf8OHD2bp1K6+99hobN26kQ4cO+Pn5sX79ej777DOqVKmS6pL0sGHD+PPPP5kyZQpr1qyhY8eOFC1alFOnTvH111/z22+/8fPPPzsUm5ubGx9++CG1atVizJgxvP7663bvHzp0iAceeIAWLVqwceNGPvvsM7p165bqL9Pvv/+ee++913br4EZWrlzJ33//bbstNWfOHB544AHb01dbt27Np59+SnBwMFWrVmXjxo2sWrUq1SDdq1ev0q1bN+66664blsymZcWKFQwdOhSwDmD+7LPPbO8dP36cK1eu8Nlnn/Hwww+zadMmRo0axfLly5k5c+ZNk7dx48axY8cOtm7dektP6U1MTOTll19O1V6wYEEGDBjAa6+9Rp8+fWjWrBldu3a1lQCXLl3argx+woQJtG3blkaNGtGnTx8uXLjA22+/TbVq1ewSnv+6dOkSJUqUoGPHjtSsWZN8+fKxatUqfv/9d6ZMmWLrFxERwbx58xgyZAh33nkn+fLlo02bNmlu86233qJx48bUqVOHxx57jDJlynD48GGWLFliS04cNXjwYKZNm8arr77K3LlzGTZsGIsXL6Z169b07t2biIgIrly5wo4dO1iwYAGHDx8mJCSEdu3aUa9ePZ599ln2799P5cqVWbx4MefPnwcydkWqWbNm9O/fn4kTJ7Jt2zbuu+8+vLy8+Ouvv5g/fz5vvvkmHTt25OOPP+add97hwQcfpFy5cly6dIkPPviAoKAgWrVqBcCjjz7K+fPnufvuuylRogRHjhxh+vTp1KpVK91E2svLK8M/B+IinFqrJXlWek8oNsZaZlquXDlTrlw5u3LP5ORkM3v2bNOoUSMTFBRkfH19zR133GHGjRt3w6egLliwwNx3332mYMGCxtPT04SFhZkuXbqYtWvX3jTOf5eC/9u4ceOMp6en2bJli12/Xbt2mY4dO5rAwEBToEABM2jQoFRl44Bxc3Mzmzdvtmtv1qxZmqXgKS9PT09TqlQp89RTT5kLFy7Y+l24cMH06dPHhISEmHz58pmoqCizZ88eU6pUKdOrVy9bv8cee8wUKlTIHD9+3G6/GSkFb9asmV0s6b2MMea1114zd955Z6qyX2NSl4KvW7fOeHh4mPfee8+unyOl4OnFUq5cOVu/efPmmdq1axsfHx9TsGBB0717d/P333+n2t7cuXNN5cqVjY+Pj6lWrZpZvHix6dChg6lcubJdP/5VCh4fH2+GDRtmatasaQIDA01AQICpWbOmeeedd+zWuXz5sunWrZvJnz+/XXl5WqXgxhizc+dO8+CDD5r8+fMbX19fU6lSJTNq1KgbHo/0nlCconfv3sbDw8Ps37/fGGPMpUuXzAsvvGDKly9vvL29TUhIiGnYsKGZPHmySUhIsK139uxZ061bNxMYGGiCg4NN7969zYYNGwxg5s6da/f9uFFp/vvvv28iIiKMn5+fCQwMNNWrVzfPPfecOXHihDHGmC1btpiuXbuakiVLGh8fHxMaGmpat25t9+iBlN/n0NBQ4+3tbUqWLGn69+9vTp48aeuT1mMUjMnYz0F6nyG9/wskZ3Iz5havc4qIzdixYxk3bhxnz54lJCTE2eFkurvuuou77ror3ZmwDx8+TJkyZW75tklOVqtWLQoXLuxQ6XFe8PXXX/Pggw+yfv16GjVq5OxwROxozI2ICNbbWynjTFKsXbuW7du321XO5UX/HV+WnJzM9OnTCQoKSlV5J5ITaMyNiNzUvffee8OBwfny5bPNIZRbHT9+nMjISB5++GGKFSvGnj17mDlzJkWLFk31QLe85sknnyQuLo4GDRoQHx/PwoUL+fnnn5kwYYLdQyRFcgolNyJyUzebsDEkJMRukHFuVKBAASIiIvjwww85e/YsAQEB3H///bz66qtZ9gTl3OLuu+9mypQpfPfdd1y7do3y5cszffp0Bg0a5OzQRNKkMTciIiLiUjTmRkRERFyKkhsRERFxKXluzI3FYuHEiRMEBgY6/GRYERERcQ5jDJcuXaJYsWI3nQImzyU3J06cIDw83NlhiIiIyC04duxYqpnn/yvPJTeBgYGA9eAEBQU5ORoRERHJiNjYWMLDw23n8RvJc8lNyq2ooKAgJTciIiK5TEaGlGhAsYiIiLgUJTciIiLiUpTciIiIiEtRciMiIiIuRcmNiIiIuBQlNyIiIuJSlNyIiIiIS1FyIyIiIi5FyY2IiIi4FCU3IiIi4lKcmtz89NNPtGnThmLFiuHm5sbXX39903XWrl1LnTp18PHxoXz58kRHR2d5nCIiIpJ7ODW5uXLlCjVr1mTGjBkZ6n/o0CHuv/9+mjdvzrZt23j66ad59NFHWbFiRRZHKiIiIrmFUyfObNmyJS1btsxw/5kzZ1KmTBmmTJkCQJUqVVi/fj1vvPEGUVFRWRWmiEiuY4whLjHZ2WFIHubn5ZGhSS6zQq6aFXzjxo1ERkbatUVFRfH000+nu058fDzx8fG25djY2KwKT0QkRzDG0HHmRjYfueDsUCQP2zU+Cn9v56QZuWpA8alTpyhSpIhdW5EiRYiNjSUuLi7NdSZOnEhwcLDtFR4enh2hiog4TVxishIbyVYFiKUQMc4OwyZXXbm5FS+88AJDhgyxLcfGxirBEZE8Y9PISPy9PZwdhrgw96M/4/31EExIReIfWgDu1p83Py/n/dzlquSmaNGinD592q7t9OnTBAUF4efnl+Y6Pj4++Pj4ZEd4IiI5jr+3h9NuDYiLs1hg/RRYMwGMBXyD8E+8AIFFnR1Z7kpuGjRowNKlS+3aVq5cSYMGDZwUkYiISB50+QwsfAwOrrEu1+wKrSaDTz7nxvX/nJrcXL58mf3799uWDx06xLZt2yhYsCAlS5bkhRde4Pjx43zyyScAPP7447z99ts899xzPPLII/zwww98+eWXLFmyxFkfQUTEKW5UDXU1QVVSkoUO/ggL+8Hl0+DlD/dPgVrdnB2VHacmN5s2baJ58+a25ZSxMb169SI6OpqTJ09y9OhR2/tlypRhyZIlPPPMM7z55puUKFGCDz/8UGXgIpKnqBpKnCY5CZYOsyY2hatAp2gIrezsqFJxM8YYZweRnWJjYwkODiYmJoagoCBnhyMi4rCrCUlUHX3zh5fWLVWA+Y83cNqzRsRFndoBm2bBfa+At3+27daR83euGnMjIiL2blQN5cyHqIkL2b8aYo5BRG/rctHq0PoNp4Z0M0puRERyMVVDSZZJToK1E2DdVHD3hLBaUKyWs6PKEP1GiIiIiL2Y4/BVXzi60bpcpwcUznlja9Kj5EZERESu2/c9LOoPcefBOxAeeAuqtXd2VA5RciMiLs/VJpFUqbdkmdXjYZ11cmrCalqroQqWdWpIt0LJjYi4NJVNizjAr4D133r94b6XwDN3PuFfyY2IuDRXnkSybqkCTp2/R1xEwhXwDrB+3WAQFK8LpXL3k/+V3IhInuFqk0iq1FtuS1ICrBwNB1ZDvzXWqRPc3HJ9YgNKbkQkD1HZtMj/O38IFvSBE1uty/uWQ/WOzo0pE+m3XEREJC/Z9Q18MwjiY8E3Pzw4Eyq1dHZUmUrJjYhkmZxQpaTKIpH/l3gNvh8Jv39gXQ6vDx0+gvzhzo0rCyi5EZEsoSolkRxm5ajriU2jp+HukeDh5dSQsoqSGxHJEjmtSkmVRZLnNRkKh9fDvS9BhUhnR5OllNyISJbLCVVKqiySPCcxDnZ/BzU6WZcDi8DjG8Dd3blxZQMlNyKS5VSlJJLNzu6D+b3hzJ/g7nF9+oQ8kNiAkhsRERHXsu0LWDIEEq9CQOHrTx3OQ5TciLgwZ1YrqUpJJJslXIGlz8G2z6zLZZpC+w8gsKhz43ICJTciLkrVSiJ5yJnd1ttQZ/eAmzs0Gw5Nh1pvSeVBSm5EXFROqVZSlZJINjh/yJrY5CsKHT6EMk2cHZFTKbkRyQOcWa2kKiWRLGKMdS4ogMqt4IHpULEl5Cvs3LhyACU3InmAqpVEXMypHbDkWeg4C4JLWNvq9HRuTDlI3qgJExERcQXGwKZZ8ME9cOxXWPGisyPKkfSnnIiISG5wLRa+HQx/LrQuV4iC+6c6N6YcSsmNSDbLrvJslWKLuJAT22BBHzh/ENw94Z4x0GBQnnkon6OU3IhkI5Vni4jDDv0En3WA5AQIDoeOsyH8TmdHlaMpuRHJRs4oz1YptkguV+JOKFQBCpSGtm+Df0FnR5TjKbkRcZLsKs9WKbZILnRmN4RUtD6Ez8sPen9nnUZBv8sZouRGxElUni0iqRgDv7wDK8dAs+eh2TBru67WOET/s4qIiOQEV8/D1wNg3zLr8pld9g/qkwxTciMiIuJsR3+FBY9A7N/g4Q1RE+DOR5XY3CIlNyIiIs5iscDPb8Hq8WCSoWBZ6BQNYTWdHVmupuRGRETEWS4cgjUTrIlNtY7QZhr4BDo7qlxPyY2IiIizFCoHrSYBBur00m2oTKLkRkREJLtYLLB+KpRtDiUirG0RvZwbkwvSc5tFRESyw+Uz8Fl7+OElWNAbEq44OyKXpSs3IrfB0XmiNN+TSB518EdY2A8unwZPP2g2HLwDnB2Vy1JyI3KLNE+UiNyUJRl+fB1+fA0wULiKtRoqtLKzI3NpSm5EbtHtzBOl+Z5E8oBrsTC3GxxeZ12u/TC0nATe/s6NKw9QciOSCRydJ0rzPYnkAd75wMsfvAKg9RtQs4uzI8ozlNyIZALNEyUiACQngSXROtmluzs8OBOu/gMhFZwdWZ6iaikREZHMEHMcPm4D3z1zvc2/oBIbJ1ByIyIicrv2fQ8zG8PRn2H3d3DhiLMjytN0HV0kDRkp8VZZt4iQnGidF+rnt6zLYTWh42woUMq5ceVxSm5E/kMl3iKSIRePWWfy/vs363K9/nDfS+Dp49y4RMmNyH85WuKtsm6RPMhigc86wLm94BMMbd+Gqg84Oyr5f0puRG4gIyXeKusWyYPc3aHlq9YZvTt8CAVKOzsi+RclNyI3oBJvEbE5fwguHIJyd1uXy90NZe6yJjqSo+g7IiIicjO7voH3msKXveD8wevtSmxyJP1JKi7N0YktQVVQIvIvidfg+5Hw+wfW5RL1wN3LuTHJTSm5EZelqicRuS3/HID5veHUH9blRoPh7lHgoeQmp1NyIy7rdia2BFVBieRpOxbAt09DwiXwKwgPvgcV73N2VJJBSm4kT3B0YktQFZRInnZ8szWxKdnQWg0VXNzZEYkDlNxInqCqJxG5KWMg5Q+ayHFQsCxE9AEP/d+R22iYt4iIyPZ5MKeTdVZvAE9vqNdPiU0upe+auJR/V0ep6klEbirhCix9DrZ9Zl3e9hlE9HZqSHL7lNyIy1B1lIg45MxuazXU2T2AG9w1HGr3cHZUkgmcfltqxowZlC5dGl9fX+rXr89vv/12w/7Tpk2jUqVK+Pn5ER4ezjPPPMO1a9eyKVrJydKrjlLVk4jYMQa2fgbvN7cmNvmKQK/F1uTGXf9XuAKnXrmZN28eQ4YMYebMmdSvX59p06YRFRXF3r17CQ0NTdX/888/Z/jw4cyaNYuGDRuyb98+evfujZubG1OnTnXCJ5Cc6t/VUap6EhE7a1+FH1+1fl22ObT/APIVdm5MkqmceuVm6tSp9OvXjz59+lC1alVmzpyJv78/s2bNSrP/zz//TKNGjejWrRulS5fmvvvuo2vXrje92iN5T0p1lL+3pxIbEbFXrT34BFkfyPfwQiU2LshpyU1CQgKbN28mMjLyejDu7kRGRrJx48Y012nYsCGbN2+2JTMHDx5k6dKltGrVKt39xMfHExsba/cSEZE8xBg4+cf15cKVYPB2aDpUc0O5KKd9V8+dO0dycjJFihSxay9SpAinTp1Kc51u3boxfvx4GjdujJeXF+XKleOuu+5ixIgR6e5n4sSJBAcH217h4eGZ+jlERCQHuxYLX/WF95vBkZ+vt/sXdF5MkuVyVcq6du1aJkyYwDvvvMOWLVtYuHAhS5Ys4aWXXkp3nRdeeIGYmBjb69ixY9kYsWQXY4xKv0XE3snt1qRm51eAG5zd6+yIJJs4bUBxSEgIHh4enD592q799OnTFC1aNM11Ro0aRY8ePXj00UcBqF69OleuXOGxxx7jxRdfxD2Ny4s+Pj74+Phk/geQHEMl4CJixxj4/UNYMQKSEyA4HDrOgvB6zo5MsonTrtx4e3sTERHB6tWrbW0Wi4XVq1fToEGDNNe5evVqqgTGw8NaEWOMybpgJUf7bwm4Sr9F8rC4i/BlT1g61JrYVGoF/X9SYpPHOLUUfMiQIfTq1Yu6detSr149pk2bxpUrV+jTpw8APXv2pHjx4kycOBGANm3aMHXqVGrXrk39+vXZv38/o0aNok2bNrYkR/K2TSMjKRTgrQopkbxqzxLYvRjcveDe8fC/J67PFyV5hlOTmy5dunD27FlGjx7NqVOnqFWrFsuXL7cNMj569KjdlZqRI0fi5ubGyJEjOX78OIULF6ZNmza88sorzvoIksP4e+uZNiJ5Wq1ucPpPqN4Bikc4OxpxEjeTx+7nxMbGEhwcTExMDEFBQc4ORzLB1YQkqo5eAcCu8VGa/VskL7l6Hn54GSLHgG+ws6ORLOTI+VtnAcnR/j0RZnpUJSWSRx37DRY8AjHHID4WOnzo7Igkh1ByIzmWqqBEJE0WC2ycDqvHgyUJCpSBBoOcHZXkIEpuJMdKbyLM9KhKSiQPuPIPfP04/PW9dfmO9tDmTfDVMAO5TsmN5Ar/nggzPZogU8TFnfwDPu8Cl06Ahw+0fA0ieqsaSlJRciO5QspEmCKShwUVt/5bqAJ0ioai1ZwajuRcOluIiEjOdS32+i2ngELQY6H1icM++Zwbl+RouWpuKXFt1vmhkv71UhWUSJ526Cd4uy5s+/x6W2gVJTZyU7pyIzmCKqNExMaSDD9Ngh9fA2OB3z6AGg9BGvMHiqRFyY3kCDeqjFIVlEgecukULOxnvWoDUOthaPW6EhtxiJIbyXH+WxmlKiiRPOLAD7DwMbhyFrwCoPVUqPmQs6OSXEjJjeQ4qowSyYPOH4LPOoJJhtA7rNVQhSs6OyrJpXQGERER5ytYBho/bZ0rqsVE8PJzdkSSiym5ERER5/hrJRQqb01sAO4epQfySaZQciPZ5kaTYKrsWyQPSU60zgv181tQrA48sgI8vZXYSKZRciPZQqXeIgLAxWPWmbz//s26XDwCME4NSVyPkhvJFhmdBFNl3yIubM9S+PoJuHYRfIKh7XSo2tbZUYkLUnIj2e5Gk2Cq7FvEBSUlwKqx8MsM63KxOtBx1vWxNiKZTMmNZDuVeovkNQaObLB++b8BEDnOOsZGJIvoDCMiIlnDGOsgYU8f63NrzuyCyvc7OyrJA5TcSJZKqZBSNZRIHpIUD9+PBN9guHukta1gGd2Gkmyj5EayjCqkRPKgfw7Agj5wcju4uUPNrlConLOjkjxGyY1kmbQqpFQNJeLCdi6ExU9BwiXwKwgPzlRiI06h5EayRUqFlKqhRFxQYhwsfwE2z7Yul2wAHT6C4OLOjUvyLCU3ki1UISXiooyBT9rCsV8BN2gyBO4aAR76fRfn0U+fiIjcOjc3qNPLOtam/ftQ/h5nRySi5EayjtET1UVcU8JViDkGhStZl2t3h8qtwK+Ac+MS+X/uzg5AXJMxhk4zNzo7DBHJbGf2wAd3w6cPwtXz19uV2EgOouRGskRcYjK7TsYCUDUsSBVSIq5g6xx4/y44uxssSXDxiLMjEkmTbktJlpv/eANVSInkZvGXYelQ2P6FdbnsXdD+A8gX6tSwRNKj5EaynPIakVzs9J8wvzec22d9KF/zEdD4WXDXhX/JuZTciIhI+tZPsyY2gWHWZ9eUbuTsiERuSsmNiIik7/7J4OUL94yBgBBnRyOSIbquKCIi153cbp30MuVZDr7B8MB0JTaSq9zWlZtr167h6+ubWbGIiIizGAO/fwgrRkByAhSuDLUfdnZUIrfE4Ss3FouFl156ieLFi5MvXz4OHjwIwKhRo/joo48yPUAREcli12Jgfi9rRVRyAlRsCZVaOTsqkVvmcHLz8ssvEx0dzeuvv463t7etvVq1anz44YeZGpyIiGSx45thZhPY9Q24e0HUBOj6BfgXdHZkIrfM4eTmk08+4f3336d79+54eFx/MFvNmjXZs2dPpgYnIiJZaMun8FGU9WF8+UvCIyugwUA9v0FyPYfH3Bw/fpzy5cunardYLCQmJmZKUCIikg0KlgWTDFXawANvg19+Z0ckkikcTm6qVq3KunXrKFWqlF37ggULqF27dqYFJrmPMYa4xGQAriYkOzkaEUlT3MXrSUzpRvDoaihWW1drxKU4nNyMHj2aXr16cfz4cSwWCwsXLmTv3r188sknfPfdd1kRo+QCxhg6ztzI5iMXnB2KiKTFYoGNb8O6ydB3FRSuaG0vXse5cYlkAYfH3LRt25Zvv/2WVatWERAQwOjRo9m9ezfffvst9957b1bEKLlAXGJymolN3VIFNGmmiLNd+Qe+eAhWjrJWRv0x19kRiWSpW3rOTZMmTVi5cmVmxyIuYtPISPy9rQmNn5eHJs0UcaYjG+GrvhB7HDx8oOWrENHH2VGJZCmHr9yULVuWf/75J1X7xYsXKVu2bKYEJbmbv7cH/t6e+Ht7KrERcRaLBdZNgej7rYlNofLQbzXUfUTja8TlOXzl5vDhwyQnpx4sGh8fz/HjxzMlKBERuU3b5sDq8dava3SB+6eCTz7nxiSSTTKc3CxevNj29YoVKwgODrYtJycns3r1akqXLp2pwYmIyC2q2RV2fgXVOlinUdDVGslDMpzctGvXDgA3Nzd69epl956XlxelS5dmypQpmRqciIhkkCUZtnwCtbqDpzd4eEKPRUpqJE/KcHJjsVgAKFOmDL///jshIZohVkQkR7h0GhY+Cod+gnN/QYsJ1nYlNpJHOTzm5tChQ1kRh4iI3IoDa2DhY3DlDHj5Q1gNZ0ck4nS3VAp+5coVfvzxR44ePUpCQoLde0899VSmBCYiIjeQnAQ/vgo/TQYMhN4BnaKvP5xPJA9zOLnZunUrrVq14urVq1y5coWCBQty7tw5/P39CQ0NVXIjIpLVYk/AV4/CkQ3W5Tq9oOVr4OXn3LhEcgiHn3PzzDPP0KZNGy5cuICfnx+//PILR44cISIigsmTJ2dFjCIi8m+JcXDyD/DOBx0+ggfeUmIj8i8OX7nZtm0b7733Hu7u7nh4eBAfH0/ZsmV5/fXX6dWrF+3bt8+KOCWHSpksUxNlimQxY64PEC5UznoLqmAZ69ciYsfh5MbLywt3d+sFn9DQUI4ePUqVKlUIDg7m2LFjmR6g5FyaLFMkm8T8DV/1g2bPQbnm1rYKkc6NSSQHczi5qV27Nr///jsVKlSgWbNmjB49mnPnzvHpp59SrVq1rIhRcqi0JsvURJkimWzvMvj6CYi7AEuHwsDfwF2/YyI34nByM2HCBC5dugTAK6+8Qs+ePXniiSeoUKECH330UaYHKLlDymSZmihTJJMkJcDqcbDxbetysdrQcbYSG5EMcDi5qVu3ru3r0NBQli9fnqkBSe6UMlmmiGSCC0dgQR84vtm6XP8JuHccePo4Ny6RXMLhaqn0bNmyhdatWzu83owZMyhdujS+vr7Ur1+f33777Yb9L168yMCBAwkLC8PHx4eKFSuydOnSWw1bRCRnifkb3mtiTWx8g6HLHGj5qhIbEQc4lNysWLGCoUOHMmLECA4ePAjAnj17aNeuHXfeeadtioaMmjdvHkOGDGHMmDFs2bKFmjVrEhUVxZkzZ9Lsn5CQwL333svhw4dZsGABe/fu5YMPPqB48eIO7VccZ4zhakLSf16qkBLJdEHFoWJLKHEnPL4eqjj+R6NIXudmjDEZ6fjRRx/Rr18/ChYsyIULFyhUqBBTp07lySefpEuXLgwePJgqVao4tPP69etz55138vbb1nvKFouF8PBwnnzySYYPH56q/8yZM5k0aRJ79uzBy8vLoX2liI2NJTg4mJiYGIKCgm5pG3lNRqqido2P0m0pkVt1/iD45gf/gtblhKvg4WV9iQjg2Pk7w1du3nzzTV577TXOnTvHl19+yblz53jnnXfYsWMHM2fOdDixSUhIYPPmzURGXi9ndHd3JzIyko0bN6a5zuLFi2nQoAEDBw6kSJEiVKtWjQkTJpCcnP4VhPj4eGJjY+1e4pi0qqL+TRVSIrdh50KY2RS+HmB9lg2At78SG5HbkOE/tQ8cOECnTp0AaN++PZ6enkyaNIkSJUrc0o7PnTtHcnIyRYoUsWsvUqQIe/bsSXOdgwcP8sMPP9C9e3eWLl3K/v37GTBgAImJiYwZMybNdSZOnMi4ceNuKUZJLaUq6t9UISVyCxKvwYoXYNMs63LcBYiPtY6zEZHbkuHkJi4uDn9/fwDc3Nzw8fEhLCwsywJLi8ViITQ0lPfffx8PDw8iIiI4fvw4kyZNSje5eeGFFxgyZIhtOTY2lvDw8OwK2eWoKkokE5zbD/N7w+kd1uXGQ6D5i+Ch3y2RzODQb9KHH35Ivnz5AEhKSiI6OpqQkBC7PhmdODMkJAQPDw9Onz5t13769GmKFi2a5jphYWF4eXnh4XH9ykGVKlU4deoUCQkJeHt7p1rHx8cHHx9VGYhIDvHHl/Dt05B4BfxDoP17UF5PGxbJTBlObkqWLMkHH3xgWy5atCiffvqpXR83N7cMJzfe3t5ERESwevVq2rVrB1ivzKxevZpBgwaluU6jRo34/PPPsVgstikg9u3bR1hYWJqJjdy6lDmjAFVFiWSWhKvww0vWxKZ0E2j/AQRl7xVwkbwgw8nN4cOHM33nQ4YMoVevXtStW5d69eoxbdo0rly5Qp8+fQDo2bMnxYsXZ+LEiQA88cQTvP322wwePJgnn3ySv/76iwkTJmQ4oZKM0ZxRIlnE2x86RsNf31vnidLThkWyhFNv8Hbp0oWzZ88yevRoTp06Ra1atVi+fLltkPHRo0dtV2gAwsPDWbFiBc888ww1atSgePHiDB48mOeff95ZH8ElpVcdpaookVuw7XOwJEOdHtblEhHWl4hkmQw/58ZV6Dk3N3c1IYmqo1cA9tVRqooScUD8ZetEl9u/AA8feOJnCCnv7KhEci1Hzt8ami83pOookVtw+k9rNdS5feDmDk2HQcEyzo5KJM/QWUtEJLMYA1s+gWXPQdI1CAyDDh9C6cbOjkwkT1FyIyKSGYyBRY/DH3Oty+Uj4cH3ICDkxuuJSKa7pVnBDxw4wMiRI+natattkstly5bx559/Zmpw4hx5axSWSCZxc4NC5cDNAyLHQrf5SmxEnMTh5ObHH3+kevXq/PrrryxcuJDLly8DsH379nSfEiy5hzGGTjPTnttLRP7DGOu0CSmaPAv9f4TGz4D7Lf3tKCKZwOHfvuHDh/Pyyy+zcuVKuwfn3X333fzyyy+ZGpxkv7jEZHadtE4uWjUsSKXfIum5FmMdNBzdGhLjrG3uHlC0ulPDEpFbSG527NjBgw8+mKo9NDSUc+fOZUpQkjPMf7yBSr9F0nJ8C7zXFHZ9DWf3wFH9YSeSkzic3OTPn5+TJ0+mat+6dSvFixfPlKAkZ1BeI/IfxsAvM+Gj++DCYQguCY+sgHLNnR2ZiPyLw8nNQw89xPPPP8+pU6dwc3PDYrGwYcMGhg4dSs+ePbMiRhER54u7APMehuXPgyURKreGx3+CEnWdHZmI/IfDyc2ECROoXLky4eHhXL58mapVq9K0aVMaNmzIyJEjsyJGyQbGGK4mJGmSTJH0LHkW9nwHHt7Q8nXo8hn4FXB2VCKShluefuHo0aPs3LmTy5cvU7t2bSpUqJDZsWUJTb+QWnoTZe4aH6WnE4ukuHgMvuwJradCsdrOjkYkz8nS6RfWr19P48aNKVmyJCVLlrzlICXnSGuiTE2SKXne1fOwdxnU7m5dzh8O/X7QYDSRXMDh5Obuu++mePHidO3alYcffpiqVatmRVziJCkTZWqSTMnTjv4CCx6B2OPgXxAqtbS263dCJFdweMzNiRMnePbZZ/nxxx+pVq0atWrVYtKkSfz9999ZEZ9ks5SJMpXYSJ5kscC6qTC7lTWxKVgOglQFKpLbOJzchISEMGjQIDZs2MCBAwfo1KkTH3/8MaVLl+buu+/OihhFRLLe5bMwpyOsHgcmGap3sj5tOKyGsyMTEQfd1mjRMmXKMHz4cGrWrMmoUaP48ccfMysuyUaaS0ryvMPrYUFfuHwKPH2h1SSo3UO3oURyqVue/GTDhg0MGDCAsLAwunXrRrVq1ViyZElmxibZQHNJiQCXTlkTm5BK0G8N1OmpxEYkF3P4ys0LL7zA3LlzOXHiBPfeey9vvvkmbdu2xd/fPyvikyymuaQkzzLmegJTvSMkJ0LVB8A7wLlxichtczi5+emnnxg2bBidO3cmJCQkK2ISJ9FcUpJnHFwL34+E7l9BYBFrW62uTg1JRDKPw8nNhg0bsiIOyQGU14jLsyTD2lfhp0mAgR9fhdZvODsqEclkGUpuFi9eTMuWLfHy8mLx4sU37PvAAw9kSmAiIpkq9iR89SgcWW9drtMT7nvFuTGJSJbIUHLTrl07Tp06RWhoKO3atUu3n5ubG8nJmptIRHKY/atg4WNw9R/wzgetp0GNTs6OSkSySIaSG4vFkubXkvupDFxc3p+LYH5v69dFqkOnaAgp78yIRCSLOVwK/sknnxAfH5+qPSEhgU8++SRTgpLsoTJwyRPKR0Kh8nDno/DoKiU2InmAw8lNnz59iImJSdV+6dIl+vTpkylBSfZQGbi4rGO/X78s6RNofXbN/VPAy9e5cYlItnA4uTHGpFku/PfffxMcHJwpQUn2Uxm4uISkBFjxInwUCb+8c73dN8h5MYlItstwKXjt2rVxc3PDzc2Ne+65B0/P66smJydz6NAhWrRokSVBStZTXiO53oUj1pm8j2+yLseecG48IuI0GU5uUqqktm3bRlRUFPny5bO95+3tTenSpenQoUOmBygiclO7v4NvBsC1GPANhrbvQJXWzo5KRJwkw8nNmDFjAChdujRdunTB11f3rkXEyZLiYeVo+HWmdbl4Xeg4CwqUcm5cIuJUDj+huFevXlkRh4iI487ugd8/tH7dYBDcMwY8vZ0bk4g4XYaSm4IFC7Jv3z5CQkIoUKDADQeenj9/PtOCExG5obCa0PJ1CCoOlTTmT0SsMpTcvPHGGwQGBtq+VlWNiDhF4jVYNQZq94Ci1axtd/Z1bkwikuNkKLn5962o3r17Z1UsIiLpO7ff+qTh0zvgwA/wxEbwcPjOuojkAQ4/52bLli3s2LHDtvzNN9/Qrl07RowYQUJCQqYGJyICwB/z4f1m1sTGPwRaTFRiIyLpcji56d+/P/v27QPg4MGDdOnSBX9/f+bPn89zzz2X6QFK1tG8UpLjJVyFxU/Cwkch4TKUagyPr7dOqSAikg6Hk5t9+/ZRq1YtAObPn0+zZs34/PPPiY6O5quvvsrs+CSLaF4pyfEunYYP74EtnwBu0Ox56PkNBIU5OzIRyeEcvq5rjLHNDL5q1Spat7Y+KCs8PJxz585lbnSSZTSvlOR4ASH//wqFDh9A2bucHZGI5BIOJzd169bl5ZdfJjIykh9//JF3330XgEOHDlGkSJFMD1CynuaVkhwj4Qq4eVgnuHT3gPb//wybQP3fIiIZ5/BtqWnTprFlyxYGDRrEiy++SPny5QFYsGABDRs2zPQAJespr5Ec4fQueL85rHjheltgESU2IuIwh6/c1KhRw65aKsWkSZPw8NCtDRFxkDGw9VNYOgySrkF8LNw9CvwLOjsyEcmlbrmWcvPmzezevRuAqlWrUqdOnUwLSkTyiPhL8N0Q2PGldbncPdD+fSU2InJbHE5uzpw5Q5cuXfjxxx/Jnz8/ABcvXqR58+bMnTuXwoULZ3aMIuKKTu2wPpTvn/3WcTZ3j4RGT4O7w3fLRUTsOPy/yJNPPsnly5f5888/OX/+POfPn2fnzp3Exsby1FNPZUWMIuJqkuJhTidrYhNUHPoshSZDlNiISKZw+MrN8uXLWbVqFVWqVLG1Va1alRkzZnDfffdlanAi4qI8feD+qbDlY2j3rm5DiUimcji5sVgseHl5pWr38vKyPf9GRCSVE1sh7iKUa25drtwKKrVUuZ6IZDqHrwHffffdDB48mBMnTtjajh8/zjPPPMM999yTqcGJiAswBn59Dz66Dxb0gZi/r7+nxEZEsoDDyc3bb79NbGwspUuXply5cpQrV44yZcoQGxvL9OnTsyJGEcmt4i7AvIdh2XOQnAClGoF3gLOjEhEX5/BtqfDwcLZs2cLq1attpeBVqlQhMlIT2eUWxhiuJiQ7OwxxdX9vsl6puXgUPLzhvpeh3mO6WiMiWc6h5GbevHksXryYhIQE7rnnHp588smsikuyiDGGjjM3svnIBWeHIq7KGNg4A1aNAUsSFCgNnaKhWG1nRyYieUSGk5t3332XgQMHUqFCBfz8/Fi4cCEHDhxg0qRJWRmfZLK4xGS7xKZuqQKaNFMyl5sbnNtnTWyqtoMH3gLfYGdHJSJ5iJsxxmSk4x133EHnzp0ZM2YMAJ999hn9+/fnypUrWRpgZouNjSU4OJiYmBiCgoKcHU62u5qQRNXRKwDYNDKSQgHemjRTMofFcv05NYlxsPtbqN5Jt6FEJFM4cv7O8IDigwcP0qtXL9tyt27dSEpK4uTJk7ceqTiVv7eHEhu5fRYLrH8DPu9s/RrAyw9qdFZiIyJOkeHbUvHx8QQEXK9ycHd3x9vbm7i4uCwJTERygSvnYFF/2L/Kurx3CVRp49yYRCTPc2hA8ahRo/D397ctJyQk8MorrxAcfP1++tSpUzMvOhHJuQ5vgK/6wqWT4OkLrSZB5dbOjkpEJOPJTdOmTdm7d69dW8OGDTl48KBtWbc4RPIASzKsmwprJ4CxQEglazVUkarOjkxEBHAguVm7dm0WhiEiucaSIbA52vp1re7WKzZ6MJ+I5CA5YgreGTNmULp0aXx9falfvz6//fZbhtabO3cubm5utGvXLmsDFJHr6vYFvwLQbia0e0eJjYjkOE5PbubNm8eQIUMYM2YMW7ZsoWbNmkRFRXHmzJkbrnf48GGGDh1KkyZNsilSkTzKkgzH/vUHR1gNeHon1OrqvJhERG7A6cnN1KlT6devH3369KFq1arMnDkTf39/Zs2ale46ycnJdO/enXHjxlG2bNlsjFYkj4k9CR8/ALNbwfHN19t98jkvJhGRm3BqcpOQkMDmzZvt5qVyd3cnMjKSjRs3prve+PHjCQ0NpW/fvtkRpkjetH8VzGwMR9aDpw9cOuXsiEREMsThiTMz07lz50hOTqZIkSJ27UWKFGHPnj1prrN+/Xo++ugjtm3blqF9xMfHEx8fb1uOjY295XhzM2MMcYnJmjBTbi45Cda8bH0wH0CR6tZqqJDyTg1LRCSjbim5WbduHe+99x4HDhxgwYIFFC9enE8//ZQyZcrQuHHjzI7R5tKlS/To0YMPPviAkJCQDK0zceJExo0bl2Ux5QaaLFMyLOZvWNAXjv1iXb7zUbjvFfDydW5cIiIOcPi21FdffUVUVBR+fn5s3brVdlUkJiaGCRMmOLStkJAQPDw8OH36tF376dOnKVq0aKr+Bw4c4PDhw7Rp0wZPT088PT355JNPWLx4MZ6enhw4cCDVOi+88AIxMTG217FjxxyK0RX8d7JM0ISZko7d31oTG58g69Wa+6cosRGRXMfhKzcvv/wyM2fOpGfPnsydO9fW3qhRI15++WWHtuXt7U1ERASrV6+2lXNbLBZWr17NoEGDUvWvXLkyO3bssGsbOXIkly5d4s033yQ8PDzVOj4+Pvj4+DgUlyvbNDISf28P/Lw0r5SkoV5/6xOHI3pDQQ3WF5HcyeHkZu/evTRt2jRVe3BwMBcvXnQ4gCFDhtCrVy/q1q1LvXr1mDZtGleuXKFPnz4A9OzZk+LFizNx4kR8fX2pVq2a3fr58+cHSNUuafP39sDf26lDrSQnuXgUfnjFeoXGJ591Vu97xzs7KhGR2+LwWa5o0aLs37+f0qVL27WvX7/+lsqyu3TpwtmzZxk9ejSnTp2iVq1aLF++3DbI+OjRo7i7O71iXcT17FkCXz8B12KsD+JrrXnhRMQ1OJzc9OvXj8GDBzNr1izc3Nw4ceIEGzduZOjQoYwaNeqWghg0aFCat6Hg5tM+REdH39I+RfKspARYORp+fde6XDwCGg12bkwiIpnI4eRm+PDhWCwW7rnnHq5evUrTpk3x8fFh6NChPPnkk1kRo4hklvOHYEEfOLHVutxgENwzBjy9nRuXiEgmcji5cXNz48UXX2TYsGHs37+fy5cvU7VqVfLl0xNLRXK0Q+tgbjeIj70+N1SlFs6OSkQk093yyFJvb2+qVq2ambGISFYKqWB90nDo/6DjRxBcwtkRiYhkCYeTm+bNm9+whPiHH364rYBEJBNd+QcCClm/DiwKvZdCwTLg4eXcuEREspDDyU2tWrXslhMTE9m2bRs7d+6kV69emRWXiNyuHQvg26eh7dtwRztrW+GKzoxIRCRbOJzcvPHGG2m2jx07lsuXL992QJJ5NJ9UHpUYB8uehy0fW5e3z72e3IiI5AGZ9jS3hx9+mHr16jF58uTM2qTcBs0nlUed3Qfze8OZPwE3aDoMmj3v7KhERLJVpiU3GzduxNdXc9DkFJpPKg/a9gUsGQKJVyEgFNq/D+WaOzsqEZFs53By0759e7tlYwwnT55k06ZNt/wQP8lamk8qDzixDb5+3Pp1mabQ/kMILOLUkEREnMXh5CY4ONhu2d3dnUqVKjF+/Hjuu+++TAtMMo/mk8oDitWyPpDPNxiaPAvuukInInmXQ2e85ORk+vTpQ/Xq1SlQoEBWxSQiN2MMbP8CyjSD4OLWtqhXnBuTiEgO4dCMlB4eHtx33323NPu3iGSS+Euw8DHrpJdf9YXkJGdHJCKSozg83Xa1atU4ePBgVsQimcgYZ0cgWeLUDnj/LtjxJbh5QIX7wM3hX2MREZfm8P+KL7/8MkOHDuW7777j5MmTxMbG2r3E+YwxdJq50dlhSGYyBjbNgg/ugX/2Q1Bx6LMUmgwBdyU3IiL/luExN+PHj+fZZ5+lVatWADzwwAN2lTfGGNzc3EhO1gPjnC0uMZldJ62JZtWwIJV/53bxl2Dxk/DnIutyxRbQ7l3wL+jcuEREcqgMJzfjxo3j8ccfZ82aNVkZj2Sy+Y83UPl3bufmAWf3grsnRI61VkXpeyoikq4MJzfm/wdxNGvWLMuCkcync2AuZYz15e4O3v7QKRquxUL4nc6OTEQkx3PoZr2uAIhkg7iL8GUP2PCvedwKV1JiIyKSQQ4956ZixYo3TXDOnz9/WwHJ7VOlVC7292ZY0BsuHoW/VkHtHpAv1NlRiYjkKg4lN+PGjUv1hGLJWVQplUsZA7+8AyvHgCURCpSGjrOV2IiI3AKHkpuHHnqI0FD9Z5uTqVIqF7p6Hr4eAPuWWZertoUHplunUhAREYdlOLnReJvcR5VSuUBSAnwYCecPgIcPtJgAdftqJLiIyG3I8IBio4EcuY7Oj7mApzf87wkoWA4eXQV3PqpvnIjIbcrwlRuLxZKVcYjkHVf+gStnIbSydfnOR6FWd2vJt4iI3DaHxtxIzmOMIS7x+lOhryboCdE52pGfYcEj4OkD/X+yjqtxc1NiIyKSiZTc5GLGGDrO3MjmIxecHYrcjMUC66fAmglgLBBSEa6c06BhEZEsoOQmF4tLTE43salbqoAqpXKKy2dg4WNw8P+nLqnZDe6fDN4Bzo1LRMRFKblxEZtGRuLvfT2Z8fPyUKVUTnDwR1jYDy6fBi9/uH8K1Orm7KhERFyakhsX4e/tgb+3vp05zi/vWBObwlWs80OlDCIWEZEso7OhSFZq+451jqi7RmjQsIhINnFo4kwRuYn9q2HFi9eXAwrBfS8rsRERyUa6ciOSGZKTYO0EWDcVMBBeH6o+4OyoRETyJCU3Ircr5jh89Sgc/dm6XPcRqHCvc2MSEcnDlNyI3I5938Oi/hB3HrwD4YG3oFp7Z0clIpKnKbkRuVU/TYYfXrJ+HVYLOs2GgmWdGpKIiCi5Ebl1xWoBblDvMbjvJeuUCiIi4nRKbkQccfks5Cts/bp8JAz8FQpXcm5MIiJiR6XguZAxhqsJSZokMzslJcDyF+DtCDh/6Hq7EhsRkRxHV25yGU2W6QQXDsP8PnBii3V5/yqo18+pIYmISPqU3OQyaU2WqUkys9Cub+CbJyE+BvwKQLt3oVJLZ0clIiI3oOQmF0uZLFOTZGaBxGvw/Uj4/QPrcnh96PAR5A93blwiInJTSm5yMU2WmYV+nXk9sWn0NNw9Ejy8nBqSiIhkjM6MImn53xNweB3Uf1xPGxYRyWVULSUCkBgHG96yzhEF1mfWPPyVEhsRkVxIV25yMGMMcYn25d4q/84CZ/fB/N5w5k+4FgP3jHJ2RCIichuU3ORQKvnOJtvnwndDIPEKBIRC6cbOjkhERG6TkpscKq2S739T+fdtSrgCS5+DbZ9Zl8s0hfYfQmAR58YlIiK3TclNLpBS8v1vKv++DWf3wpc94ewecHOHZsOh6VBwV7IoIuIKlNzkAir5zmTGAheOQL6i0OFDKNPE2RGJiEgm0hlT8gZL8vUrM6FV4KHPoGjN65NgioiIy1ApeA5knRhTVVGZ5tQOeLchHNl4va18pBIbEREXpSs3OYyqpDKRMbB5NiwbDsnxsHIU9F0JGqskIuLSlNzkMP+tklJV1C26FgvfDoY/F1qXK9wH7WYqsRERyQOU3ORgm0ZGUijAW1VRjjqxDRb0gfMHwd0T7hkDDQaBu+7CiojkBUpucjB/b5V7O+z0LvjoXkhOgOBw6DgLwus5OyoREclGSm7EtYRWgYpR1uqotjPAv6CzIxIRkWyWI67Tz5gxg9KlS+Pr60v9+vX57bff0u37wQcf0KRJEwoUKECBAgWIjIy8Yf/cxhhnR5ALHd9inRMKrGNq2n8AD32uxEZEJI9yenIzb948hgwZwpgxY9iyZQs1a9YkKiqKM2fOpNl/7dq1dO3alTVr1rBx40bCw8O57777OH78eDZHnvmMMXSaufHmHcXKGNg4Az66zzp4OCUz9PLTwGERkTzM6cnN1KlT6devH3369KFq1arMnDkTf39/Zs2alWb/OXPmMGDAAGrVqkXlypX58MMPsVgsrF69Opsjz3xxicnsOhkLQNWwIFVJ3cjV8zC3G6wYAZZE61OHkxOcHZWIiOQATk1uEhIS2Lx5M5GRkbY2d3d3IiMj2bgxY1cwrl69SmJiIgULutYtiPmPN9Bg4vQc+w1mNoG9S8HDG1pNhk4fg6ePsyMTEZEcwKkDis+dO0dycjJFitjPxFykSBH27NmToW08//zzFCtWzC5B+rf4+Hji4+Nty7GxsbcecDZSXpMGiwV+fgtWjweTDAXLQqdoCKvp7MhERCQHcfptqdvx6quvMnfuXBYtWoSvr2+afSZOnEhwcLDtFR4ens1RSqa5dhF+nWlNbKp1hP4/KbEREZFUnJrchISE4OHhwenTp+3aT58+TdGiRW+47uTJk3n11Vf5/vvvqVGjRrr9XnjhBWJiYmyvY8eOZUrs4gT+BaHDR9DmTets3j6Bzo5IRERyIKcmN97e3kRERNgNBk4ZHNygQYN013v99dd56aWXWL58OXXr1r3hPnx8fAgKCrJ7SS5hscBPk2D7vOttpRtBRG/dtxMRkXQ5/SF+Q4YMoVevXtStW5d69eoxbdo0rly5Qp8+fQDo2bMnxYsXZ+LEiQC89tprjB49ms8//5zSpUtz6tQpAPLly0e+fPmc9jkkk10+Awsfg4NrwMsfyjSBoGLOjkpERHIBpyc3Xbp04ezZs4wePZpTp05Rq1Ytli9fbhtkfPToUdz/NSfQu+++S0JCAh07drTbzpgxYxg7dmx2hi5Z5dBP8NWjcPk0ePpBq0kQGObsqEREJJdwMyZvPRM3NjaW4OBgYmJictwtqqsJSVQdvQKAXeOj8Pd2eu6ZvSzJ1ttQP75mfW5N4SrWaqjQys6OTEREnMyR83ceO3tKjpWcBJ+1h0M/Wpdr94CWr4O3v3PjEhGRXEfJjeQMHp5QvA78vQnaTIManZ0dkYiI5FJKbnKQvHWDEOvVmmsXISDEutz8RajT0/pwPhERkVuUqx/i50ry3KSZMcfh49YwpxMk/f+cUB5eSmxEROS26cpNDpGnJs3c9z0s6g9x58E7EM7sgmK1nB2ViIi4CCU3OZDLTpqZnGidF+rnt6zLYTWh42woVM65cYmIiEtRcpMDuWJew8WjsOAR+Pt363K9/nDfS5rJW0REMp2SG8kei5+0JjY+wdD2baj6gLMjEhERF6UBxTmEy1dK3T8Vyt4Fj/+kxEZERLKUkpscwCUrpS4chs0fX18uVA56fgMFSjsrIhERySN0WyoHcLlKqV3fwDdPQnws5C8J5Zo7OyIREclDlNzkMLm6UirxGnw/En7/wLpcop4qoUREJNspuclhcmtewz8HYH5vOPWHdbnRYLh7lPXBfCIiItlIyY3cvj8XWW9DJVwCv4Lw4HtQ8T5nRyUiInmUkhu5fQlXrIlNyYbQ4UMILu7siEREJA9TcuMkxhjiEpMBuJqQ7ORobkFyknUmb4Ba3cE7ACq3ud4mIiLiJDoTOYExho4zN7L5yAVnh3Jrts+FdVPhkeXgX9A6UOiOB50dlYiICKDn3DhFXGJymolN3VIFcnYZeMIV+HqgddLLc3vh15nOjkhERCQVXblxsk0jI/H3tiY0fl4eObcM/MxuazXU2T2AG9w1HJoOc3ZUIiIiqSi5cTJ/bw/8vXPwt8EY2DYHlgyFpDjIV8Q6aLhMU2dHJiIikqYcfFaVHOH3D2HpUOvXZZtD+/chX6hzYxIREbkBjbmRG6veCQqWtT6Q7+GFSmxERCTH05UbsWcMHFxjvUrj5gZ++eGJjeDl6+zIREREMkRXbuS6a7HwVV/49EHYHH29XYmNiIjkIrpyI1Ynt1uroc4fBHdPSLrm7IhERERuiZKbvM4Y66DhFSMgOQGCw6HjLAiv5+zIREREbomSm7ws7iIsfhJ2L7YuV2oFbWdYnzosIiKSSym5yWbGmJwzl9SZXbDnO3D3gnvHw/+esA4iFhERycWU3GSjHDenVKmG0GoSFKsNxSOcHY2IiEimULVUNvrvnFLZPpfU1fOwoC+c++t6252PKrERERGXois3TrJpZCSFAryzby6pY7/Bgkcg5pi1IqrfD7oFJSIiLknJjZP4e2fTJJkWC2ycDqvHgyUJCpSB1m8osREREZel5MaVXfkHvn4c/vreunxHe2jzJvgGOTcuERGRLKTkxlX9cwCiW8OlE+DpCy1ehYjeumIjIiIuT8lNNjDGEJeYnL0l4PlLQv5w8A6ATtFQtFr27VtERMSJlNxksWwt/75yDnyCwNMbPLyg8yfgnQ988mX9vkVERHIIlYJnsf+Wf0MWlYAf+gnebQirx11vCyyqxEZERPIcXbnJRptGRuLv7YGfVyZWSlmS4adJ8ONrYCywfzU0fxG8/TNn+yIiIrmMkpts5O/tgb93Jh7yS6dgYT/rVRuA2g9Dy0lKbEREJE9TcpNbHfgBFj4GV86CVwC0ngo1H3J2VCIiIk6n5CaLZGmFVNxF+LI3xMdA6B3WaqjCFTN/PyIiIrmQkpsskOUVUn75rVdqDq+zPr/Gyy9r9iMiIpILKbnJAllSIfXXSvD0gTJNrcvVO1pfIiIiYkfJTRa77Qqp5ET44SXY8CYEhMITGyBfaOYHKiIi4iKU3GSx26qQunjMOpP3379Zl6u2tT6kT0RERNKl5Can2rMUvn4Crl0En2BoO92a3IiI0xhjSEpKIjk5G6dSEclDvLy88PC4/YfcKrnJAsbcxsqWZPh+FPwyw7pcrA50nAUFy2RKbCJyaxISEjh58iRXr151digiLsvNzY0SJUqQL9/tPV1fyU0mM8bQaebGW9+Am7v12TUA/xsAkeOsc0WJiNNYLBYOHTqEh4cHxYoVw9vbO/OeMi4igPX8efbsWf7++28qVKhwW1dwlNxksrjEZHadjAWgalhQxiukkpPAwxPc3Kxl3jU6Q4V7szBSEcmohIQELBYL4eHh+PvrCeAiWaVw4cIcPnyYxMTE20puNHFmFpr/eIOb/3WXFA9Lh8GXPa7fz/IJVGIjkgO5u+u/TJGslFlXRHXlJgvd9Hv0zwFY0AdObrcuH90IpRpmeVwiIiKuTMmNs+z8ChYPhoRL4FcQHpypxEZERCQT6BprdkuMg2+ftj6/JuESlGwAj6+HilHOjkxERP5l7969FC1alEuXLjk7FJfxv//9j6+++irL96PkJpPdtAx8wSOweTbgBk2ehV7fQXDx7AhNRPKg3r174+bmhpubG15eXpQpU4bnnnuOa9euper73Xff0axZMwIDA/H39+fOO+8kOjo6ze1+9dVX3HXXXQQHB5MvXz5q1KjB+PHjOX/+fBZ/ouzzwgsv8OSTTxIYGJjqvcqVK+Pj48OpU6dSvVe6dGmmTZuWqn3s2LHUqlXLru3UqVM8+eSTlC1bFh8fH8LDw2nTpg2rV6/OrI+Rpvnz51O5cmV8fX2pXr06S5cuvek6c+bMoWbNmvj7+xMWFsYjjzzCP//8Y3s/Ojra9rOW8vL19bXbxsiRIxk+fDgWiyXTP9O/KbnJRBkqA2/yLAQWg4e/gntGWyukRESyUIsWLTh58iQHDx7kjTfe4L333mPMmDF2faZPn07btm1p1KgRv/76K3/88QcPPfQQjz/+OEOHDrXr++KLL9KlSxfuvPNOli1bxs6dO5kyZQrbt2/n008/zbbPlZCQkGXbPnr0KN999x29e/dO9d769euJi4ujY8eOfPzxx7e8j8OHDxMREcEPP/zApEmT2LFjB8uXL6d58+YMHDjwNqK/sZ9//pmuXbvSt29ftm7dSrt27WjXrh07d+5Md50NGzbQs2dP+vbty59//sn8+fP57bff6Nevn12/oKAgTp48aXsdOXLE7v2WLVty6dIlli1bliWfzcbkMTExMQYwMTExmb7tK/GJptTz35lSz39nWk77yVgsFmPirxhzaJ19x8Rrmb5vEck6cXFxZteuXSYuLs7WZrFYzJX4xGx/WSwWh2Lv1auXadu2rV1b+/btTe3atW3LR48eNV5eXmbIkCGp1n/rrbcMYH755RdjjDG//vqrAcy0adPS3N+FCxfSjeXYsWPmoYceMgUKFDD+/v4mIiLCtt204hw8eLBp1qyZbblZs2Zm4MCBZvDgwaZQoULmrrvuMl27djWdO3e2Wy8hIcEUKlTIfPzxx8YYY5KTk82ECRNM6dKlja+vr6lRo4aZP39+unEaY8ykSZNM3bp103yvd+/eZvjw4WbZsmWmYsWKqd4vVaqUeeONN1K1jxkzxtSsWdO23LJlS1O8eHFz+fLlVH1vdBxvV+fOnc39999v11a/fn3Tv3//dNeZNGmSKVu2rF3bW2+9ZYoXL25bnj17tgkODr7p/vv06WMefvjhNN9L63cthSPnb102yCLzH2+A29m9ML83XDgEj66GotWsb3r6ODU2Ebl9cYnJVB29Itv3u2t81K3PVwfs3LmTn3/+mVKlStnaFixYQGJiYqorNAD9+/dnxIgRfPHFF9SvX585c+aQL18+BgwYkOb28+fPn2b75cuXadasGcWLF2fx4sUULVqULVu2OHx74uOPP+aJJ55gw4YNAOzfv59OnTpx+fJl21NtV6xYwdWrV3nwwQcBmDhxIp999hkzZ86kQoUK/PTTTzz88MMULlyYZs2apbmfdevWUbdu3VTtly5dYv78+fz6669UrlyZmJgY1q1bR5MmTRz6HOfPn2f58uW88sorBAQEpHo/veMI1ttD/fv3v+H2ly1blm5MGzduZMiQIXZtUVFRfP311+lur0GDBowYMYKlS5fSsmVLzpw5w4IFC2jVqpVdv8uXL1OqVCksFgt16tRhwoQJ3HHHHXZ96tWrx6uvvnrD+G9XjkhuZsyYwaRJkzh16hQ1a9Zk+vTp1KtXL93+8+fPZ9SoURw+fJgKFSrw2muvpTrAzmXw/GMOrHgekuIgXxGI14A0EXGO7777jnz58pGUlER8fDzu7u68/fbbtvf37dtHcHAwYWFhqdb19vambNmy7Nu3D4C//vqLsmXL4uXl5VAMn3/+OWfPnuX333+nYMGCAJQvX97hz1KhQgVef/1123K5cuUICAhg0aJF9OjRw7avBx54gMDAQOLj45kwYQKrVq2iQYMGAJQtW5b169fz3nvvpZvcHDlyJM3kZu7cuVSoUMF2wn7ooYf46KOPHE5u9u/fjzGGypUrO7QewAMPPED9+vVv2Kd48fTHcp46dYoiRYrYtRUpUiTN8UMpGjVqxJw5c+jSpQvXrl0jKSmJNm3aMGPGDFufSpUqMWvWLGrUqEFMTAyTJ0+mYcOG/Pnnn5QoUcLWr1ixYhw7dgyLxZJlz45yenIzb948hgwZwsyZM6lfvz7Tpk0jKiqKvXv3Ehoamqp/yr3CiRMn0rp1az7//HPatWvHli1bqFatmhM+gT1/rvGS1yx8lqy3NpRtDu3fh3ypP4uI5F5+Xh7sGp/9VY4Zfur5vzRv3px3332XK1eu8MYbb+Dp6UmHDh1uaf/mFifP27ZtG7Vr17YlNrcqIiLCbtnT05POnTszZ84cevTowZUrV/jmm2+YO3cuYE0irl69yr332j8YNSEhgdq1a6e7n7i4uFSDYQFmzZrFww8/bFt++OGHadasGdOnT09z4HF6bvU4AgQGBjq0r8ywa9cuBg8ezOjRo4mKiuLkyZMMGzaMxx9/nI8++giwXt1JSSABGjZsSJUqVXjvvfd46aWXbO1+fn5YLBbi4+Px8/PLknidntxMnTqVfv360adPHwBmzpzJkiVLmDVrFsOHD0/V/80336RFixYMGzYMgJdeeomVK1fy9ttvM3PmzGyN/d+MMcQf/4PF3iMp734C4+aOW/MR0PhZ0FNNRVyOm5vbbd0eyk4BAQG2qySzZs2iZs2afPTRR/Tt2xeAihUrEhMTw4kTJyhWrJjdugkJCRw4cIDmzZvb+q5fv57ExESHrt7c7CTm7u6e6oSfmJiY5mf5r+7du9OsWTPOnDnDypUr8fPzo0WLFoD1NgnAkiVLUl3N8PFJf4hASEgIFy5csGvbtWsXv/zyC7/99hvPP/+8rT05OZm5c+faBtcGBQURExOTapsXL14kODgYsF6BcnNzY8+ePenGkJ7bvS1VtGhRTp8+bdd2+vRpihYtmu72Jk6cSKNGjWzn3ho1ahAQEECTJk14+eWX07zq5+XlRe3atdm/f79d+/nz5wkICMiyxAacXC2VkJDA5s2biYyMtLW5u7sTGRnJxo1pVx1t3LjRrj9Y7xWm1z8+Pp7Y2Fi7V1aIS0xm1oczKO9+glOmAPHdv4Gmw5TYiEiO4u7uzogRIxg5ciRxcXEAdOjQAS8vL6ZMmZKq/8yZM7ly5Qpdu3YFoFu3bly+fJl33nknze1fvHgxzfYaNWqwbdu2dEvFCxcuzMmTJ+3atm3blqHP1LBhQ8LDw5k3bx5z5syhU6dOtsSratWq+Pj4cPToUcqXL2/3Cg8PT3ebtWvXZteuXXZtH330EU2bNmX79u1s27bN9hoyZIjt6gVYb89s3rw51Ta3bNlCxYoVAShYsCBRUVHMmDGDK1eupOqb3nEE622pf+8/rVdat9RSNGjQIFWp+cqVK+2uuvzX1atXU91CSpn7Kb2rUMnJyezYsSNV4rNz584bXjXLFDcdcpyFjh8/bgDz888/27UPGzbM1KtXL811vLy8zOeff27XNmPGDBMaGppm/zFjxhgg1Suzq6WuxCeaMs8vNm++2NP0eXuJwxUNIpJz3aiCI6dLqwopMTHRFC9e3EyaNMnW9sYbbxh3d3czYsQIs3v3brN//34zZcoU4+PjY5599lm79Z977jnj4eFhhg0bZn7++Wdz+PBhs2rVKtOxY8d0q6ji4+NNxYoVTZMmTcz69evNgQMHzIIFC2z//y9fvty4ubmZjz/+2Ozbt8+MHj3aBAUFpaqWGjx4cJrbf/HFF03VqlWNp6enWbduXar3ChUqZKKjo83+/fvN5s2bzVtvvWWio6PTPW6LFy82oaGhJikpyRhjrcAqXLiweffdd1P13bVrlwHMzp07jTHGbNiwwbi7u5uXX37Z7Nq1y+zYscOMGDHCeHp6mh07dtjWO3DggClatKipWrWqWbBggdm3b5/ZtWuXefPNN03lypXTje12bdiwwXh6eprJkyeb3bt3mzFjxhgvLy+72IYPH2569OhhW549e7bx9PQ077zzjjlw4IBZv369qVu3rt25ety4cWbFihXmwIEDZvPmzeahhx4yvr6+5s8//7Tbf7Nmzcz48ePTjC2zqqVcPrm5du2aiYmJsb2OHTuWJcnNv8tCldiIuBZXS26MMWbixImmcOHCdmXI33zzjWnSpIkJCAgwvr6+JiIiwsyaNSvN7c6bN880bdrUBAYGmoCAAFOjRg0zfvz4G5YwHz582HTo0MEEBQUZf39/U7duXfPrr7/a3h89erQpUqSICQ4ONs8884wZNGhQhpOblASjVKlSqf4PtlgsZtq0aaZSpUrGy8vLFC5c2ERFRZkff/wx3VgTExNNsWLFzPLly40xxixYsMC4u7ubU6dOpdm/SpUq5plnnrEtr1ixwjRq1MgUKFDAVrae1v5OnDhhBg4caEqVKmW8vb1N8eLFzQMPPGDWrFmTbmyZ4csvvzQVK1Y03t7e5o477jBLliyxe79Xr152x94Ya+l31apVjZ+fnwkLCzPdu3c3f//9t+39p59+2pQsWdJ4e3ubIkWKmFatWpktW7bYbePvv/82Xl5e5tixY2nGlVnJjZsxtzGq6TYlJCTg7+/PggULaNeuna29V69eXLx4kW+++SbVOiVLlmTIkCE8/fTTtrYxY8bw9ddfs3379pvuMzY2luDgYGJiYggKCsqMjyEiLu7atWscOnSIMmXKpDnIVFzTjBkzWLx4MStWZH/Jv6t6/vnnuXDhAu+//36a79/od82R87dTB4R4e3sTERFhd+/PYrGwevXqdO/93cq9QhEREUf179+fpk2bam6pTBQaGmpXOZVVnD7Uf8iQIfTq1Yu6detSr149pk2bxpUrV2zVUz179qR48eJMnDgRgMGDB9OsWTOmTJnC/fffz9y5c9m0aVO6WaCIiMit8PT05MUXX3R2GC7l2WefzZb9OD256dKlC2fPnmX06NGcOnWKWrVqsXz5ctsDho4ePWo3Qrthw4Z8/vnnjBw5khEjRlChQgW+/vrrHPGMGxEREXE+p465cQaNuRERR2nMjUj2cIkxNyIiuUke+1tQJNtl1u+YkhsRkZtIeSDc1atXnRyJiGtLSEgArj8g8FY5fcyNiEhO5+HhQf78+Tlz5gwA/v7+uLm5OTkqEddisVg4e/Ys/v7+eHreXnqi5EZEJANS5t1JSXBEJPO5u7tTsmTJ2/7jQcmNiEgGuLm5ERYWRmhoaJoTOorI7fP29k41h9WtUHIjIuIADw+P2x4PICJZSwOKRURExKUouRERERGXouRGREREXEqeG3OT8oCg2NhYJ0ciIiIiGZVy3s7Ig/7yXHKTMrtreHi4kyMRERERR126dIng4OAb9slzc0tZLBZOnDhBYGBgpj+EKzY2lvDwcI4dO6Z5q7KQjnP20HHOHjrO2UfHOntk1XE2xnDp0iWKFSt203LxPHflxt3dnRIlSmTpPoKCgvSLkw10nLOHjnP20HHOPjrW2SMrjvPNrtik0IBiERERcSlKbkRERMSlKLnJRD4+PowZMwYfHx9nh+LSdJyzh45z9tBxzj461tkjJxznPDegWERERFybrtyIiIiIS1FyIyIiIi5FyY2IiIi4FCU3IiIi4lKU3DhoxowZlC5dGl9fX+rXr89vv/12w/7z58+ncuXK+Pr6Ur16dZYuXZpNkeZujhznDz74gCZNmlCgQAEKFChAZGTkTb8vYuXoz3OKuXPn4ubmRrt27bI2QBfh6HG+ePEiAwcOJCwsDB8fHypWrKj/OzLA0eM8bdo0KlWqhJ+fH+Hh4TzzzDNcu3Ytm6LNnX766SfatGlDsWLFcHNz4+uvv77pOmvXrqVOnTr4+PhQvnx5oqOjszxOjGTY3Llzjbe3t5k1a5b5888/Tb9+/Uz+/PnN6dOn0+y/YcMG4+HhYV5//XWza9cuM3LkSOPl5WV27NiRzZHnLo4e527dupkZM2aYrVu3mt27d5vevXub4OBg8/fff2dz5LmLo8c5xaFDh0zx4sVNkyZNTNu2bbMn2FzM0eMcHx9v6tata1q1amXWr19vDh06ZNauXWu2bduWzZHnLo4e5zlz5hgfHx8zZ84cc+jQIbNixQoTFhZmnnnmmWyOPHdZunSpefHFF83ChQsNYBYtWnTD/gcPHjT+/v5myJAhZteuXWb69OnGw8PDLF++PEvjVHLjgHr16pmBAwfalpOTk02xYsXMxIkT0+zfuXNnc//999u11a9f3/Tv3z9L48ztHD3O/5WUlGQCAwPNxx9/nFUhuoRbOc5JSUmmYcOG5sMPPzS9evVScpMBjh7nd99915QtW9YkJCRkV4guwdHjPHDgQHP33XfbtQ0ZMsQ0atQoS+N0JRlJbp577jlzxx132LV16dLFREVFZWFkxui2VAYlJCSwefNmIiMjbW3u7u5ERkaycePGNNfZuHGjXX+AqKiodPvLrR3n/7p69SqJiYkULFgwq8LM9W71OI8fP57Q0FD69u2bHWHmerdynBcvXkyDBg0YOHAgRYoUoVq1akyYMIHk5OTsCjvXuZXj3LBhQzZv3my7dXXw4EGWLl1Kq1atsiXmvMJZ58E8N3HmrTp37hzJyckUKVLErr1IkSLs2bMnzXVOnTqVZv9Tp05lWZy53a0c5/96/vnnKVasWKpfKLnuVo7z+vXr+eijj9i2bVs2ROgabuU4Hzx4kB9++IHu3buzdOlS9u/fz4ABA0hMTGTMmDHZEXaucyvHuVu3bpw7d47GjRtjjCEpKYnHH3+cESNGZEfIeUZ658HY2Fji4uLw8/PLkv3qyo24lFdffZW5c+eyaNEifH19nR2Oy7h06RI9evTggw8+ICQkxNnhuDSLxUJoaCjvv/8+ERERdOnShRdffJGZM2c6OzSXsnbtWiZMmMA777zDli1bWLhwIUuWLOGll15ydmiSCXTlJoNCQkLw8PDg9OnTdu2nT5+maNGiaa5TtGhRh/rLrR3nFJMnT+bVV19l1apV1KhRIyvDzPUcPc4HDhzg8OHDtGnTxtZmsVgA8PT0ZO/evZQrVy5rg86FbuXnOSwsDC8vLzw8PGxtVapU4dSpUyQkJODt7Z2lMedGt3KcR40aRY8ePXj00UcBqF69OleuXOGxxx7jxRdfxN1df/tnhvTOg0FBQVl21QZ05SbDvL29iYiIYPXq1bY2i8XC6tWradCgQZrrNGjQwK4/wMqVK9PtL7d2nAFef/11XnrpJZYvX07dunWzI9RczdHjXLlyZXbs2MG2bdtsrwceeIDmzZuzbds2wsPDszP8XONWfp4bNWrE/v37bckjwL59+wgLC1Nik45bOc5Xr15NlcCkJJRGUy5mGqedB7N0uLKLmTt3rvHx8THR0dFm165d5rHHHjP58+c3p06dMsYY06NHDzN8+HBb/w0bNhhPT08zefJks3v3bjNmzBiVgmeAo8f51VdfNd7e3mbBggXm5MmTttelS5ec9RFyBUeP83+pWipjHD3OR48eNYGBgWbQoEFm79695rvvvjOhoaHm5ZdfdtZHyBUcPc5jxowxgYGB5osvvjAHDx4033//vSlXrpzp3Lmzsz5CrnDp0iWzdetWs3XrVgOYqVOnmq1bt5ojR44YY4wZPny46dGjh61/Sin4sGHDzO7du82MGTNUCp4TTZ8+3ZQsWdJ4e3ubevXqmV9++cX2XrNmzUyvXr3s+n/55ZemYsWKxtvb29xxxx1myZIl2Rxx7uTIcS5VqpQBUr3GjBmT/YHnMo7+PP+bkpuMc/Q4//zzz6Z+/frGx8fHlC1b1rzyyismKSkpm6POfRw5zomJiWbs2LGmXLlyxtfX14SHh5sBAwaYCxcuZH/guciaNWvS/P825dj26tXLNGvWLNU6tWrVMt7e3qZs2bJm9uzZWR6nmzG6/iYiIiKuQ2NuRERExKUouRERERGXouRGREREXIqSGxEREXEpSm5ERETEpSi5EREREZei5EZERERcipIbEbETHR1N/vz5nR3GLXNzc+Prr7++YZ/evXvTrl27bIlHRLKfkhsRF9S7d2/c3NxSvfbv3+/s0IiOjrbF4+7uTokSJejTpw9nzpzJlO2fPHmSli1bAnD48GHc3NzYtm2bXZ8333yT6OjoTNlfesaOHWv7nB4eHoSHh/PYY49x/vx5h7ajREzEcZoVXMRFtWjRgtmzZ9u1FS5c2EnR2AsKCmLv3r1YLBa2b99Onz59OHHiBCtWrLjtbd9s9niA4ODg295PRtxxxx2sWrWK5ORkdu/ezSOPPEJMTAzz5s3Llv2L5FW6ciPionx8fChatKjdy8PDg6lTp1K9enUCAgIIDw9nwIABXL58Od3tbN++nebNmxMYGEhQUBARERFs2rTJ9v769etp0qQJfn5+hIeH89RTT3HlypUbxubm5kbRokUpVqwYLVu25KmnnmLVqlXExcVhsVgYP348JUqUwMfHh1q1arF8+XLbugkJCQwaNIiwsDB8fX0pVaoUEydOtNt2ym2pMmXKAFC7dm3c3Ny46667APurIe+//z7FihWzm4UboG3btjzyyCO25W+++YY6derg6+tL2bJlGTduHElJSTf8nJ6enhQtWpTixYsTGRlJp06dWLlype395ORk+vbtS5kyZfDz86NSpUq8+eabtvfHjh3Lxx9/zDfffGO7CrR27VoAjh07RufOncmfPz8FCxakbdu2HD58+IbxiOQVSm5E8hh3d3feeust/vzzTz7++GN++OEHnnvuuXT7d+/enRIlSvD777+zefNmhg8fjpeXFwAHDhygRYsWdOjQgT/++IN58+axfv16Bg0a5FBMfn5+WCwWkpKSePPNN5kyZQqTJ0/mjz/+ICoqigceeIC//voLgLfeeovFixfz5ZdfsnfvXubMmUPp0qXT3O5vv/0GwKpVqzh58iQLFy5M1adTp078888/rFmzxtZ2/vx5li9fTvfu3QFYt24dPXv2ZPDgwezatYv33nuP6OhoXnnllQx/xsOHD7NixQq8vb1tbRaLhRIlSjB//nx27drF6NGjGTFiBF9++SUAQ4cOpXPnzrRo0YKTJ09y8uRJGjZsSGJiIlFRUQQGBrJu3To2bNhAvnz5aNGiBQkJCRmOScRlZfnUnCKS7Xr16mU8PDxMQECA7dWxY8c0+86fP98UKlTItjx79mwTHBxsWw4MDDTR0dFprtu3b1/z2GOP2bWtW7fOuLu7m7i4uDTX+e/29+3bZypWrGjq1q1rjDGmWLFi5pVXXrFb58477zQDBgwwxhjz5JNPmrvvvttYLJY0tw+YRYsWGWOMOXTokAHM1q1b7fr8d0bztm3bmkceecS2/N5775lixYqZ5ORkY4wx99xzj5kwYYLdNj799FMTFhaWZgzGGDNmzBjj7u5uAgICjK+vr2325KlTp6a7jjHGDBw40HTo0CHdWFP2XalSJbtjEB8fb/z8/MyKFStuuH2RvEBjbkRcVPPmzXn33XdtywEBAYD1KsbEiRPZs2cPsbGxJCUlce3aNa5evYq/v3+q7QwZMoRHH32UTz/91HZrpVy5coD1ltUff/zBnDlzbP2NMVgsFg4dOkSVKlXSjC0mJoZ8+fJhsVi4du0ajRs35sMPPyQ2NpYTJ07QqFEju/6NGjVi+/btgPWW0r333kulSpVo0aIFrVu35r777rutY9W9e3f69evHO++8g4+PD3PmzOGhhx7C3d3d9jk3bNhgd6UmOTn5hscNoFKlSixevJhr167x2WefsW3bNp588km7PjNmzGDWrFkcPXqUuLg4EhISqFWr1g3j3b59O/v37ycwMNCu/dq1axw4cOAWjoCIa1FyI+KiAgICKF++vF3b4cOHad26NU888QSvvPIKBQsWZP369fTt25eEhIQ0T9Jjx46lW7duLFmyhGXLljFmzBjmzp3Lgw8+yOXLl+nfvz9PPfVUqvVKliyZbmyBgYFs2bIFd3d3wsLC8PPzAyA2Nvamn6tOnTocOnSIZcuWsWrVKjp37kxkZCQLFiy46brpadOmDcYYlixZwp133sm6det44403bO9fvnyZcePG0b59+1Tr+vr6prtdb29v2/fg1Vdf5f7772fcuHG89NJLAMydO5ehQ4cyZcoUGjRoQGBgIJMmTeLXX3+9YbyXL18mIiLCLqlMkVMGjYs4k5IbkTxk8+bNWCwWpkyZYrsqkTK+40YqVqxIxYoVeeaZZ+jatSuzZ8/mwQcfpE6dOuzatStVEnUz7u7uaa4TFBREsWLF2LBhA82aNbO1b9iwgXr16tn169KlC126dKFjx460aNGC8+fPU7BgQbvtpYxvSU5OvmE8vr6+tG/fnjlz5rB//34qVapEnTp1bO/XqVOHvXv3Ovw5/2vkyJHcfffdPPHEE7bP2bBhQwYMGGDr898rL97e3qnir1OnDvPmzSM0NJSgoKDbiknEFWlAsUgeUr58eRITE5k+fToHDx7k008/ZebMmen2j4uLY9CgQaxdu5YjR46wYcMGfv/9d9vtpueff56ff/6ZQYMGsW3bNv766y+++eYbhwcU/9uwYcN47bXXmDdvHnv37mX48OFs27aNwYMHAzB16lS++OIL9uzZw759+5g/fz5FixZN88GDoaGh+Pn5sXz5ck6fPk1MTEy6++3evTtLlixh1qxZtoHEKUaPHs0nn3zCuHHj+PPPP9m9ezdz585l5MiRDn22Bg0aUKNGDSZMmABAhQoV2LRpEytWrGDfvn2MGjWK33//3W6d0qVL88cff7B3717OnTtHYmIi3bt3JyQkhLZt27Ju3ToOHTrE2rVreeqpp/j7778diknEJTl70I+IZL60BqGmmDp1qgkLCzN+fn4mKirKfPLJJwYwFy5cMMbYD/iNj483Dz30kAkPDzfe3t6mWLFiZtCgQXaDhX/77Tdz7733mnz58pmAgABTo0aNVAOC/+2/A4r/Kzk52YwdO9YUL17ceHl5mZo1a5ply5bZ3n///fdNrVq1TEBAgAkKCjL33HOP2bJli+19/jWg2BhjPvjgAxMeHm7c3d1Ns2bN0j0+ycnJJiwszADmwIEDqeJavny5adiwofHz8zNBQUGmXr165v3330/3c4wZM8bUrFkzVfsXX3xhfHx8zNGjR821a9dM7969TXBwsMmfP7954oknzPDhw+3WO3PmjO34AmbNmjXGGGNOnjxpevbsaUJCQoyPj48pW7as6devn4mJiUk3JpG8ws0YY5ybXomIiIhkHt2WEhEREZei5EZERERcipIbERERcSlKbkRERMSlKLkRERERl6LkRkRERFyKkhsRERFxKUpuRERExKUouRERERGXouRGREREXIqSGxEREXEpSm5ERETEpfwfg49bfAsX/uMAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Оценка модели: Random Forest\n",
      "Точность (Accuracy): 0.9460\n",
      "Точность (Precision): 0.0000\n",
      "Полнота (Recall): 0.0000\n",
      "F1-Score: 0.0000\n",
      "AUC: 0.7819\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Оценка модели: Gradient Boosting\n",
      "Точность (Accuracy): 0.9399\n",
      "Точность (Precision): 0.0000\n",
      "Полнота (Recall): 0.0000\n",
      "F1-Score: 0.0000\n",
      "AUC: 0.8379\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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w93B16dKFxYsXs2LFCsaNG8fkyZP54YcfaNiw4TXtMz+PkRRMOi0lBZaLiwuTJ0/m6NGjvP322472W265hZIlS/LZZ59lOcFY2oDdzp07O7YpVaoUn3/++VUnJStfvryjez7tUb9+/XTrLFmyhPbt2zN58mTmzp3L6tWrM91X2l/mafbu3YvNZiMsLCzDus888wwNGjSgT58+V8zXuHFjwsPD6dChA+PHj2fgwIG88sorjg/KhQsX0r9/f6ZOnUrPnj25/fbbueWWWxw9J//Wt29fnnjiCTw8PPjiiy9YuXLlVQdr/tsff/xBo0aNsjXHyI4dO4DLxWlWwsLC+PTTT/Hy8mLYsGGsXLmS+++//6r7r1mzJtWrV2fx4sVXnMQxu/73v/+RmJjIkiVLGDJkCB07diQ8PDxDIVSpUiUg4/f65MmTVz3VkjbQ18/Pj/Dw8EwfVyp0s3KlIjonUlJSgMu9YWnvdffu3enWS0pK4sCBA47ns1ovrS3t+TRVq1bliSee4Pvvv2f79u0kJSUxderUXH8//1apUiX27duXoeDZu3dvrr+W5D8VN1KgtW3blqZNmzJ9+nTH+A5vb29Gjx7N7t27HVdP/NvSpUuZO3cuERER3HzzzY5tnn76aXbu3MnTTz+d6V9wn376Kb/99huenp4ZPmD+e3qhVatWAAwdOpQWLVowZMgQLl26lGGf/72C6q233gJwXLGRZuPGjXzzzTe8/PLLOf5FfunSJVJSUhwfRC4uLhne31tvvZVpUbd582YiIyN5+eWX6dWrF+Hh4dkaPwP2YmXHjh1069YtW+svWLCAoKCgqxY3KSkp9O3bl7p16/L6668THh5OlSpVsvUazz//PKdOnWLw4MEkJydneD4nf7mn/fX/39N6/+2lSytA3nrrrXTrTp8+/aqv0bhxY6pWrcprr72W4XQakOH0aHb5+PhkWszm1P/+9z8AR3EfHh6Ou7s7b775Zrr3+uGHHxIbG0unTp0A+ynPwMBAZs6cSWJiomO97777jp07dzrWu3jxouP/dZqqVavi6+ubbrvcej//FhERwZEjR1iyZImjLSEhgVmzZuXq64g1dFpKCrwnn3ySXr16MXfuXMdgyjFjxrBlyxZeeeUVNm7cyF133YWXlxfr16/n008/pXbt2nz00UcZ9vPXX38xdepU1qxZ45ihOCYmhsWLF/Pbb7/x888/5yibk5MTH3zwAQ0aNCAyMpJXX3013fMHDhyga9eutG/fno0bN/Lpp59y7733ZugJ+v7777n99tvTjXnIysqVKzl8+LDjtNS8efPo2rWrY0xQ586d+eSTT/D396dOnTps3LiRVatWZRike/HiRe69917atm3LyJEjc/S+V6xYwejRowH7KZ1PP/3U8dyRI0eIj4/n008/5b777uOPP/5g3LhxLF++nJkzZ161eJswYQLbtm1jy5YtOe61uPfee9m+fTuTJ0/mt99+4+6776Zy5crEx8ezfft2Pv/8c3x9fa86FgbgjjvuwN3dnS5dujBkyBAuXLjArFmzCAwM5NixY471ypYty+jRo5k8eTKdO3emY8eObNmyhe+++46AgIArvoazszMffPABHTp0oG7dugwcOJCQkBCOHDnCmjVr8PPzcxQYOdG4cWNWrVrFtGnTCA4OpnLlyjRr1uyK22zevNnxfTx//jyrV6/mq6++okWLFtxxxx2O9/rMM88wYcIE2rdvT9euXdm9ezfvvPMON910k2MQr5ubG6+88goDBw6kTZs23HPPPY5LwcPCwhzTDezZs4fbbruN3r17U6dOHVxdXVm0aBHHjx/n7rvvTvd+3n33XV588UWqVatGYGBgukH012LIkCG8/fbb3HPPPYwcOZKgoCDmzZvnKO7zordI8pFFV2mJpJPVJH7GGJOammqqVq1qqlatmm4CvtTUVDNnzhzTsmVL4+fnZzw9PU3dunXNhAkTzIULF7J8rYULF5o77rjDlC5d2ri6upqgoCDTp08fs3bt2qvmzGwSP2OMmTBhgnF1dTWbN29Ot96OHTtMz549ja+vrylVqpQZPnx4ppP4OTk5mU2bNqVrb9OmzRUn8XN1dTWVKlUyjz76aLoJ1M6ePWsGDhxoAgICTIkSJUxERITZtWtXhgnlHnroIVOmTBlz5MiRdK+bnUvB0y63vdrDGGNeeeUVc9NNN5l58+Zl2M9/LwVft26dcXFxMe+991669bJzKfi/rV271vTs2dMEBQUZNzc34+fnZ5o0aWIiIyPNsWPHsv1+lyxZYurVq2c8PT1NWFiYeeWVV8zs2bMzXL6emppqJkyYYIKCgq5pEr8tW7aYHj16mDJlyhgPDw9TqVIl07t3b7N69eqrHoPMLqfftWuXad26tfHy8sr2JH7//dmqUqWKefLJJzOdEPHtt982tWrVMm5ubqZcuXLmkUceyXQSvwULFpiGDRsaDw8PU7p06QyT+J06dcoMGzbM1KpVy/j4+Bh/f3/TrFkz88UXX6TbT0xMjOnUqZPx9fXN9iR+/9W/f/8MUxTs37/fdOrUyXh5eZmyZcuaJ554wnz11VcGML/88kuWx0wKPt1bSiQPpE10dvLkyav+9V4YtW3blrZt2/L8889n+nza/Yr060UKm+nTp/P4449z+PBhQkJCrI4j10hjbkREpFj67zi5hIQE3nvvPapXr67CppDTmBsRybHbb7/9igODS5QoQd++ffMxkUjO9ejRg4oVK9KgQQNiY2P59NNP2bVrF/PmzbM6mlwnFTcikmOZXaX2bwEBAekGGYsURBEREXzwwQfMmzeP1NRU6tSpw/z58686HYMUfBpzIyIiIkWKxtyIiIhIkaLiRkRERIqUYjfmxmazcfToUXx9fTVJk4iISCFhjOH8+fMEBwdf9ZYvxa64OXr0qOPuxyIiIlK4HDp0iAoVKlxxnWJX3Pj6+gL2g+Pn52dxGhEREcmOuLg4QkNDHZ/jV1Lsipu0U1F+fn4qbkRERAqZ7Awp0YBiERERKVJU3IiIiEiRouJGREREihQVNyIiIlKkqLgRERGRIkXFjYiIiBQpKm5ERESkSFFxIyIiIkWKihsREREpUlTciIiISJFiaXHz008/0aVLF4KDg3FycmLx4sVX3Wbt2rU0atQIDw8PqlWrxty5c/M8p4iIiBQelhY38fHx1K9fnxkzZmRr/QMHDtCpUyfatWtHVFQUjz32GA8++CArVqzI46QiIiJSWFh648wOHTrQoUOHbK8/c+ZMKleuzNSpUwGoXbs269ev5/XXXyciIiKvYoqISDF07mISFxJTrI5RKLm7OhPo62nZ6xequ4Jv3LiR8PDwdG0RERE89thjWW6TmJhIYmKiYzkuLi6v4omISBGxYe8p+s3+jVSbsTpKodSoYkm+HtrSstcvVMVNTEwM5cqVS9dWrlw54uLiuHTpEl5eXhm2mTx5MhMmTMiviCIiUgT8dTSWVJvB2QncXHTtzdWUIg4nDGfwB6w/ZoWquLkWzzzzDKNGjXIsx8XFERoaamEiEREpLLo3DGFa7wZWxyjYojfAV49DQA24fxE4u1idqHAVN+XLl+f48ePp2o4fP46fn1+mvTYAHh4eeHh45Ec8ERGR4sNmg/VTYc0kMDbw8IX4k+Bb3upkhau4ad68OcuWLUvXtnLlSpo3b25RIhERkWLowgn4+iHYv8a+XP8e6PgaeJSwNtf/s/Sk2IULF4iKiiIqKgqwX+odFRXFwYMHAfsppX79+jnWf/jhh9m/fz9PPfUUu3bt4p133uGLL77g8ccftyK+iIhI8bP/R5h5i72wcfOG7u/CnTMLTGEDFvfc/PHHH7Rr186xnDY2pn///sydO5djx445Ch2AypUrs3TpUh5//HHeeOMNKlSowAcffKDLwEWkUIlPTGH0l1s5FptgdRTJwok4fW8ylZoCy56EC8ehbG3oNRcCa1mdKgMnY0yxus4tLi4Of39/YmNj8fPzszqOiBRD3/8Vw0OfbLI6hmTDsHZVeTKi4H14WypmG/wxG+54Cdy98+1lc/L5XajG3IiIFAWn45MAaBBakmHtqlmcRrLi6eZMs8plrI5hvb2rIfYQNB5gXy5/I3R+3dJIV6PiRkQkn529aC9uqgeW4PY65a6ytohFUlNg7SRYNw2cXSGoAQQ3sDpVtqi4ERHJZ2f/v+emlI+7xUlEshB7BL4aBAc32pcb3Q9lC8/pORU3IiL57Ex8MgClvFXcSAG053tYNAQunQF3X+j6JtzQw+pUOaLiRkQKrb0nLvDjnpMUtusith+JBaCUt5vFSUT+Y/VEWGe/OTVB9e1XQ5WuYmmka6HiRkQKreGfbWZXzHmrY1yzsr6aPV0KGK9S9n+bDoE7XgDXwvkzquJGRAqtcxftp3fa1ChLyULWC1Lez5NW1ctaHUMEkuLB3cf+dfPhENIEKhXumf9V3IhIofdkRE1uCPG3OoZI4ZKSBCvHw77VMHiNfYZhJ6dCX9iAihsREZHi58wBWDgQjm6xL+9ZDjf2tDZTLlJxIyIiUpzs+Aa+GQ6JceBZ0n5fqJodrE6Vq1TciEi+upiUwvmElFzZV2ohu0pKxFLJCfD9c/D7LPtyaDO460MoGWptrjyg4kZE8s3B0xdp/8ZPXExKtTqKSPGzctzlwqblY3Drc+BSuAbiZ5eKGxHJN7uPn3cUNi7OTrmyz2plS1AtsESu7EukSGs1GqLXw+0vQPVwq9PkKRU3IpLvGlYsyaKhLa2OIVK0JV+Cnd9CvV72Zd9y8PAGcHa2Nlc+UHEjIiJS1JzcA18OgBN/gbPL5dsnFIPCBlTciIiIFC1Rn8PSUZB8EXzKXp51uBhRcSMiIlIUJMXDsqcg6lP7cuXW0GMW+Ja3NpcFVNyIyFUlpqQy5qttHD578br2c/b/b5cgIrnsxE77aaiTu8DJGdqMgdaj7aekiiEVNyJyVVsOnmPRliO5tr/yfp65ti8RwT7j8MldUKI83PUBVG5ldSJLqbgRkatKtdknywsp6cVznWpf176cnZ1oUbVMbsQSKd6Msd8LCqBWR+j6FtToACV0Q1YVNyKSbb6ernS4McjqGCISsw2WPgE9Z4N/BXtbo37WZipAisc1YSIiIkWBMfDHbJh1Gxz6FVY8a3WiAkk9NyIiIoVBQhz8byT89bV9uXoEdJpmbaYCSsWNSBERn5jCsm3H8uS+TftPXsj1fYpIDhyNgoUD4cx+cHaF2yKh+fBiMylfTqm4ESkiZq8/wNSVe/L0Ndxd9YtUJN8d+Ak+vQtSk8A/FHrOgdCbrE5VoKm4ESkizlxMAqBqWR9qBfnl+v6dnZzo0yQ01/crIldR4SYoUx1KhUG3t8G7tNWJCjwVNyJFTETd8jzVvpbVMUTkepzYCQE17JPwuXnBgG/tt1FIu/Rbrkh9zCIiIgWFMbBxBsxsBev+NVjYu7QKmxxQz42IiEhBcPEMLB4Ke76zL5/YkX6iPsk2FTciFrPZDGf/f7zM9UhIzv2rpEQknxz8FRY+AHGHwcUdIibBTQ+qsLlGKm5ELGSMofd7G/njn7NWRxERK9hs8PObsHoimFQoXQV6zYWg+lYnK9RU3IhYLDcLmxIerrSsFpBr+xORPHb2AKyZZC9sbugJXaaDh6/VqQo9FTciBcTmcbdT2sfd6hgikp/KVIWOUwADjfrrNFQuUXEjIiKSX2w2WD8NqrSDCo3tbY37W5upCNKl4CIiIvnhwgn4tAf88AIsHABJ8VYnKrLUcyMiIpLX9v8IXw+GC8fB1QvajAF3H6tTFVkqbkQscuTcJSb+7y+rY4hIXrKlwo+vwo+vAAbK1rZfDRWoWcTzkoobEYt8t+0YK/46DtivcvJ2d7E4kYjkqoQ4mH8vRK+zLze8DzpMAXdva3MVAypuRCySYjMAeLo5883wlni6qbgRKVLcS4CbN7j5QOfXoX4fqxMVGypuRCzWuV4wVcuWsDqGiOSG1BSwJdtvdunsDHfOhIunIaC61cmKFV0tJSIikhtij8BHXeDbxy+3eZdWYWMBFTciIiLXa8/3MPMWOPgz7PwWzv5jdaJiTaelRCyQnGrju23HrI4hItcrNdl+X6if37QvB9WHnnOgVCVrcxVzKm5ELLBs2zG2Ho4FwN1VHagihdK5Q/Y7eR/+zb7cdAjc8QK4elibS1TciFjh9IUkx9cDWoRZF0REro3NBp/eBad2g4c/dHsb6nS1OpX8P/3JKGKhLvWDqVFOdwAWKXScnaHDy1DhJnj4JxU2BYx6bkRERLLjzAE4ewCq3mpfrnorVG5rL3SkQNF3RERE5Gp2fAPvtYYv+sOZ/ZfbVdgUSOq5EclD8YkpjpmI/+1ScqoFaUQkx5IT4Pvn4PdZ9uUKTcHZzdpMclUqbkTyyLtr9/HK8l1WxxCRa3V6H3w5AGL+tC+3HAm3jgMXFTcFnYobkTzy64HTV3zezcWJVtUD8imNiOTItoXwv8cg6Tx4lYY734Mad1idSrJJxY1IHnvlrhvp0ahChnYnwNVF5+tFCqQjm+yFTcUWcNcH4B9idSLJARU3InnMxdkZNxUxIgWfMeDkZP86fAKUrgKNB4KLPioLG/3GFRER2boA5vWy39UbwNUdmg5WYVNIqbgREZHiKykeFg+DRQ/B3pUQ9anViSQXqCQVuYpLSalELtnOsdiEHG23/UhsHiUSkVxxYqf9aqiTuwAnaDsGGt5vdSrJBZYXNzNmzGDKlCnExMRQv3593nrrLZo2bZrl+tOnT+fdd9/l4MGDBAQE0LNnTyZPnoynp2c+ppbi5NcDp/nij8PXvH1ZX91ET6RAMQai5sHS0ZByCUqUsw8artza6mSSSywtbhYsWMCoUaOYOXMmzZo1Y/r06URERLB7924CAwMzrP/ZZ58xZswYZs+eTYsWLdizZw8DBgzAycmJadOmWfAOpDhISbVPwlextDeP3149R9sGlPCgZVVd7i1SoKx9GX582f51lXbQYxaUKGttJslVlhY306ZNY/DgwQwcOBCAmTNnsnTpUmbPns2YMWMyrP/zzz/TsmVL7r33XgDCwsK45557+PXXX/M1txRPpX3cubNhxku6RaSQuaEH/PKOfVK+W0bpFgpFkGXf0aSkJDZt2kR4ePjlMM7OhIeHs3Hjxky3adGiBZs2beK3334DYP/+/SxbtoyOHTtm+TqJiYnExcWle4iISDFiDBz78/Jy2Zowciu0Hq3Cpoiy7Lt66tQpUlNTKVeuXLr2cuXKERMTk+k29957LxMnTuSWW27Bzc2NqlWr0rZtW8aOHZvl60yePBl/f3/HIzQ0NFffh4iIFGAJcfDVIHi/Dfzz8+V279LWZZI8Z/mA4pxYu3YtkyZN4p133qFZs2bs3buXkSNH8sILLzBu3LhMt3nmmWcYNWqUYzkuLk4FjgCQmJLKDztPcD4h5Yrr7Tim3j6RQunYVvvVUGf2g5MLnNwNlVpYnUrygWXFTUBAAC4uLhw/fjxd+/Hjxylfvnym24wbN47777+fBx98EIAbb7yR+Ph4HnroIZ599lmcM+le9PDwwMNDV6tIRl/8cZhxi7dne313zTIsUjgYA79/ACvGQmoS+IdCz9kQmvWVuFK0WFbcuLu707hxY1avXk337t0BsNlsrF69muHDh2e6zcWLFzMUMC4uLgAYY/I0rxQ9py8kAhBS0ota5X2vuK6zsxP9mlfKj1gicj0unYMlI2DnEvtyzY7QbYZOQxUzlp6WGjVqFP3796dJkyY0bdqU6dOnEx8f77h6ql+/foSEhDB58mQAunTpwrRp02jYsKHjtNS4cePo0qWLo8gRyal2tcryYvcbrY4hIrlh11J7YePsBrdPhJsfuXy/KCk2LC1u+vTpw8mTJxk/fjwxMTE0aNCA5cuXOwYZHzx4MF1PzXPPPYeTkxPPPfccR44coWzZsnTp0oWXXnrJqrcgIiIFSYN74fhfcONdENLY6jRiESdTzM7nxMXF4e/vT2xsLH5+flbHEQtNX7WH6av+5r6bK6rnRqSwungGfngRwiPB09/qNJKHcvL5XaiulhLJTcWrrBcpgg79BgsfgNhDkBhnv4WCCCpupBh7Y/XfVkcQkWths8HGt2D1RLClQKnK0DzzC1GkeFJxI8WWq7MTKTZDlYASVkcRkeyKPw2LH4a/v7cv1+0BXd4ATw0zkMtU3Eix16lekNURRCQ7jv0Jn/WB80fBxQM6vAKNB+hqKMlAxY2IiBQOfiH2f8tUh15zofwNlsaRgkvFjYiIFFwJcZdPOfmUgfu/ts847KHTyZI1zScvIiIF04Gf4O0mEPXZ5bbA2ips5KrUcyNFUqrN8OLSHfxz+mKW66TYdC24SIFkS4WfpsCPr4CxwW+zoN7dkMn9A0Uyo+JGiqRtR2KZsyH6qut5uDpTwkP/DUQKjPMx8PVge68NQIP7oOOrKmwkR/RbXYqklFQbAAEl3Hmqfa0s16sT5IePihuRgmHfD/D1QxB/Etx8oPM0qH+31amkENJvdSnSfD3d6N0k1OoYInI1Zw7Apz3BpEJgXfvVUGVrWJ1KCikVNyIiYr3SleGWx+z3imo/Gdy8rE4khZiKGxERscbfK6FMNXthA3DrOE3IJ7lCxY0UKRcSU1i7+wS7Y85bHUVEspKabL8v1M9vQnAjeGAFuLqrsJFco+JGipTXVuxm7s/RjmVXZ/2yFClQzh2y38n78G/25ZDGgKZlkNyl4kaKlJMXEgGoWtaH0NLe9NFgYpGCY9cyWPwIJJwDD3/o9hbU6WZ1KimCVNxIkXT/zZUY0LKy1TFEBCAlCVY9D7/MsC8HN4Kesy+PtRHJZSpuREQkjxn4Z4P9y5uHQvgE+xgbkTyi4kZERPKGMfZBwq4e9nlrTuyAWp2sTiXFgIobKVo0LlHEeimJ8P1z4OkPtz5nbytdWaehJN+ouJEiIzEllaXbjlkdQ6R4O70PFg6EY1vByRnq3wNlqlqdSooZFTdSZBw9l+D4un5oSeuCiBRX27+GJY9C0nnwKg13zlRhI5ZQcSNFjoerMw0rlrI6hkjxkXwJlj8Dm+bYlys2h7s+BP8Qa3NJsaXiRoocd1dnqyOIFB/GwMfd4NCvgBO0GgVtx4KLPl7EOvrpExGRa+fkBI3628fa9Hgfqt1mdSIRFTciIpJDSRch9hCUrWlfbtgXanUEL50OloJBxY0UerPXH+CX/ae5mJRqdRSRou/ELvhyACTGwcPrwbu0vV2FjRQgKm6kULuUlMoLS3dg/jW/TUAJD+sCiRRlW+bB0icg5RKUKAfn/rlc3IgUICpupFBLsdkchc3EbnVxdXamedUy1oYSKWoSL8Cy0bD1c/tylbbQYxaUCLQ0lkhWVNxIkdHnplA8XF2sjiFStBz/y34a6tQe+6R87cbCLU+As65KlIJLxY2IiGRt/XR7YeMbZJ+7Jqyl1YlErkrFjYiIZK3Ta+DmCbdFgk+A1WlEskXFjRQ4FxJTWLfnJEmptquum5CsK6REctWxrbDtS7j9BfscNp7+0PUtq1OJ5Mh1FTcJCQl4enrmVhYRAF743w4W/HEoR9s4O4ETTnmUSKQYMAZ+/wBWjIXUJChbCxreZ3UqkWuS4+LGZrPx0ksvMXPmTI4fP86ePXuoUqUK48aNIywsjEGDBuVFTilGTpy33wCzalkfyvllr3huXaOsbrsgcq0SYmHJCNjxjX25Rgeo2dHaTCLXIcfFzYsvvshHH33Eq6++yuDBgx3tN9xwA9OnT1dxI7lmSJuq9G4SanUMkaLtyCb4cqB9zhpnN7h9Atw81H5KSqSQyvGfuh9//DHvv/8+ffv2xcXl8mW39evXZ9euXbkaTkRE8tDmT+DDCHthU7IiPLACmg9TYSOFXo57bo4cOUK1atUytNtsNpKTk3MllIiI5IPSVcCkQu0u0PVt8CppdSKRXJHj4qZOnTqsW7eOSpUqpWtfuHAhDRs2zLVgUnwYY9LdPsFkvaqIXK9L5y4XMWEt4cHVENxQvTVSpOS4uBk/fjz9+/fnyJEj2Gw2vv76a3bv3s3HH3/Mt99+mxcZpQiz2Qx93t/I79FnrY4iUrTZbLDxbVj3GgxaBWVr2NtDGlmbSyQP5HjMTbdu3fjf//7HqlWr8PHxYfz48ezcuZP//e9/3H777XmRUYqw2EvJmRY23u4u3BDsb0EikSIo/jR8fjesHGe/MurP+VYnEslT1zTPTatWrVi5cmVuZ5Fi7o/nwnH+/65xb3cXPN10nyiR6/bPRvhqEMQdARcP6PAyNB5odSqRPJXjnpsqVapw+vTpDO3nzp2jSpUquRJKiqfS3u6U9rE/VNiIXCebDdZNhbmd7IVNmWoweDU0eUDja6TIy3HPTXR0NKmpGae8T0xM5MiRI7kSSkRErlPUPFg90f51vT7QaRp4lLA2k0g+yXZxs2TJEsfXK1aswN//8niI1NRUVq9eTVhYWK6GExGRa1T/Htj+Fdxwl/02CuqtkWIk28VN9+7dAXBycqJ///7pnnNzcyMsLIypU6fmajgpuo7FXmL6yr85HZ9odRSRosGWCps/hgZ9wdUdXFzh/kUqaqRYynZxY7PZ79BcuXJlfv/9dwICAvIslBR9X28+ku7mmCW93fQ7WORanT8OXz8IB36CU39D+0n2dv2nkmIqx2NuDhw4kBc5pJhJSrEXy03DStO5fhCNK5XCSb+IRXJu3xr4+iGIPwFu3hBUz+pEIpa7pkvB4+Pj+fHHHzl48CBJSUnpnnv00UdzJZgUDzXL+9KveZjVMUQKn9QU+PFl+Ok1wEBgXeg19/LkfCLFWI6Lmy1bttCxY0cuXrxIfHw8pUuX5tSpU3h7exMYGKjiRkQkr8Udha8ehH822Jcb9YcOr4Cbl7W5RAqIHM9z8/jjj9OlSxfOnj2Ll5cXv/zyC//88w+NGzfmtddey4uMIiLyb8mX4Nif4F4C7voQur6pwkbkX3LccxMVFcV7772Hs7MzLi4uJCYmUqVKFV599VX69+9Pjx498iKnFCExsQl8t/2Y1TFEChdjLg8QLlPVfgqqdGX71yKSTo57btzc3HB2tm8WGBjIwYMHAfD39+fQoUNX2lQEgLvf38ie4xcAcHHWIGKRq4o9DHM62gcPp6kersJGJAs57rlp2LAhv//+O9WrV6dNmzaMHz+eU6dO8cknn3DDDTfkRUYpYo7H2ee2qVrWh95NQi1OI1LA7f4OFj8Cl87CstEw7Ddw1u1JRK4kxz03kyZNIigoCICXXnqJUqVK8cgjj3Dy5Enee++9XA8oRdfcgU2pE+xndQyRgiklCVY8a7+b96WzENwQ+i5UYSOSDTnuuWnSpInj68DAQJYvX56rgUREir2z/8DCgXBkk3252SNw+wRw9bA2l0ghkeOem6xs3ryZzp0753i7GTNmEBYWhqenJ82aNeO333674vrnzp1j2LBhBAUF4eHhQY0aNVi2bNm1xhYRKVhiD8N7reyFjac/9JkHHV5WYSOSAzkqblasWMHo0aMZO3Ys+/fvB2DXrl10796dm266yXGLhuxasGABo0aNIjIyks2bN1O/fn0iIiI4ceJEpusnJSVx++23Ex0dzcKFC9m9ezezZs0iJCQkR68rIlJg+YVAjQ5Q4SZ4eD3UzvkfjSLFnZMxxmRnxQ8//JDBgwdTunRpzp49S5kyZZg2bRojRoygT58+jBw5ktq1a+foxZs1a8ZNN93E22+/DdjvXxUaGsqIESMYM2ZMhvVnzpzJlClT2LVrF25ubjl6rTRxcXH4+/sTGxuLn5/Ge+SXF7/dwZyfozHGYPv/n7h1T7UjtLS3tcFECoIz+8GzJHiXti8nXQQXN/tDRICcfX5nu+fmjTfe4JVXXuHUqVN88cUXnDp1infeeYdt27Yxc+bMHBc2SUlJbNq0ifDw8MthnJ0JDw9n48aNmW6zZMkSmjdvzrBhwyhXrhw33HADkyZNIjU1NcvXSUxMJC4uLt1D8t+KHTGk2i4XNhVKeRHop252EbZ/DTNbw+Kh9rlsANy9VdiIXIdsDyjet28fvXr1AqBHjx64uroyZcoUKlSocE0vfOrUKVJTUylXrly69nLlyrFr165Mt9m/fz8//PADffv2ZdmyZezdu5ehQ4eSnJxMZGRkpttMnjyZCRMmXFNGyX2zBzThhmB/Snq74+6aa0O+RAqf5ARY8Qz8Mdu+fOksJMbZx9mIyHXJ9qfLpUuX8Pa2n0JwcnLCw8PDcUl4frHZbAQGBvL+++/TuHFj+vTpw7PPPsvMmTOz3OaZZ54hNjbW8dBEg9Yq5e1OoJ+nChsp3k7thQ/CLxc2t4yCAUtV2IjkkhxdCv7BBx9QokQJAFJSUpg7dy4BAQHp1snujTMDAgJwcXHh+PHj6dqPHz9O+fLlM90mKCgINzc3XFwuz/NQu3ZtYmJiSEpKwt3dPcM2Hh4eeHjo9IeIFBB/fgH/ewyS48E7AHq8B9XCr7qZiGRftoubihUrMmvWLMdy+fLl+eSTT9Kt4+TklO3ixt3dncaNG7N69Wq6d+8O2HtmVq9ezfDhwzPdpmXLlnz22WfYbDbHLSD27NlDUFBQpoWNiEiBknQRfnjBXtiEtYIes8Avf3vARYqDbBc30dHRuf7io0aNon///jRp0oSmTZsyffp04uPjGThwIAD9+vUjJCSEyZMnA/DII4/w9ttvM3LkSEaMGMHff//NpEmTsl1QSd7Yf/IC7/24n0vJWQ/sPnU+KR8TiRRQ7t7Qcy78/T20eUqzDYvkkRzPUJyb+vTpw8mTJxk/fjwxMTE0aNCA5cuXOwYZHzx40NFDAxAaGsqKFSt4/PHHqVevHiEhIYwcOZKnn37aqrcgwEc/R7Pgj+yNZSrlrR42KWaiPgNbKjS6375cobH9ISJ5Jtvz3BQVmucm94356k/m/36IdjXLckv1slmuVyXAh3a1AvMxmYiFEi/Yb3S59XNw8YBHfoaAalanEim0cvL5bWnPjRQtTcJKM+iWylbHELHe8b/gywFwag84OUPrJ6G0/m+I5BcVNyIiucUY2PwxfPcUpCSAbxDc9QGE3WJ1MpFiRcWNiEhuMAYWPQx/zrcvVwuHO98Dn4Arbyciue6aipt9+/YxZ84c9u3bxxtvvEFgYCDfffcdFStWpG7durmdUQqYE3EJRB0651g+fPaSdWFECgonJyhTFZxc4LZx0GIkOGuyShEr5Li4+fHHH+nQoQMtW7bkp59+4qWXXiIwMJCtW7fy4YcfsnDhwrzIKQVIz5kbOXjmYoZ2ZycnC9KIWMgYSDgHXqXsy62egJodoPyNlsYSKe5y/GfFmDFjePHFF1m5cmW6ifNuvfVWfvnll1wNJwVTTGwCADeE+NGoYkkaVSxJ25pl6XSjJiOTYiQh1j5oeG5nSP7/3ktnFxU2IgVAjntutm3bxmeffZahPTAwkFOnTuVKKCkcZvVrQpC/l9UxRPLfkc2wcCCcjQZnVzj4C1RtZ3UqEfl/Oe65KVmyJMeOHcvQvmXLFkJCQnIllIhIgWQM/DITPrzDXtj4V4QHVqiwESlgclzc3H333Tz99NPExMTg5OSEzWZjw4YNjB49mn79+uVFRhER6106Cwvug+VPgy0ZanWGh3+CCk2sTiYi/5Hj4mbSpEnUqlWL0NBQLly4QJ06dWjdujUtWrTgueeey4uMIiLWW/oE7PoWXNyhw6vQ59PLA4lFpEDJ8Zgbd3d3Zs2axbhx49i+fTsXLlygYcOGVK9ePS/ySQEQfSqevh/8yskLiQAkpdosTiRigfAJcOYAdJ4GwQ2tTiMiV5Dj4mb9+vXccsstVKxYkYoVK+ZFJilg/vjnLEfOpZ/LJqSkF2V8PCxKJJIPLp6B3d9Bw7725ZKhMPgH+3w2IlKg5bi4ufXWWwkJCeGee+7hvvvuo06dOnmRSwqgm6uUZlrvBgAElPDA3VUTlEkRdfAXWPgAxB0B79L2uWtAhY1IIZHjT6ejR4/yxBNP8OOPP3LDDTfQoEEDpkyZwuHDh/MinxQgnm4uBJf0IriklwobKZpsNlg3DeZ0tBc2pauCn64CFSlscvwJFRAQwPDhw9mwYQP79u2jV69efPTRR4SFhXHrrbfmRUYRkbx34STM6wmrJ4BJhRt7wZAfIaie1clEJIeu68aZlStXZsyYMdSvX59x48bx448/5lYuEZH8E70eFg6CCzHg6gkdp0DD+3UaSqSQuubiZsOGDcybN4+FCxeSkJBAt27dmDx5cm5mE4v8efgcn/7yDyk2A8A/pzPeR0qkSDkfYy9sAmpCr7lQTmMJRQqzHBc3zzzzDPPnz+fo0aPcfvvtvPHGG3Tr1g1vb++8yCcWeH3lHtbsPpmhvaSXmwVpRPKIMZd7Zm7sCanJUKcruPtYm0tErluOi5uffvqJJ598kt69exMQEJAXmcRiiSn2eWy6NQimbrAfAK7OznSqpxtjShGxfy18/xz0/Qp8y9nbGtxjaSQRyT05Lm42bNiQFzmkALqtdjm61g+2OoZI7rGlwtqX4acpgIEfX4bOr1udSkRyWbaKmyVLltChQwfc3NxYsmTJFdft2rVrrgQTEclVccfgqwfhn/X25Ub94I6XrM0kInkiW8VN9+7diYmJITAwkO7du2e5npOTE6mpqbmVTUQkd+xdBV8/BBdPg3sJ6Dwd6vWyOpWI5JFsFTc2my3Tr6VoiT4Vz4FT8ZyJT7I6ikju+WsRfDnA/nW5G+1XQwVUszKRiOSxHE/i9/HHH5OYmJihPSkpiY8//jhXQkn+OxOfxO2v/8jAub+zK+Y8AC6a40OKgmrhUKYa3PQgPLhKhY1IMZDj4mbgwIHExsZmaD9//jwDBw7MlVCS/05dSCQ51eDi7ES9Cv6E1w6kZbUyVscSuTaHfrdf6g3g4QuD10CnqeDmaW0uEckXOb5ayhiDUyZ/0R8+fBh/f/9cCSXW8fdyY8nwW6yOIXJtUpLst0/Y+DZETILmw+ztnn7W5hKRfJXt4qZhw4Y4OTnh5OTEbbfdhqvr5U1TU1M5cOAA7du3z5OQIiJXdfYf+528j/xhX447am0eEbFMtoubtKukoqKiiIiIoESJEo7n3N3dCQsL46677sr1gCIiV7XzW/hmKCTEgqc/dHsHane2OpWIWCTbxU1kZCQAYWFh9OnTB09PnbsWEYulJMLK8fDrTPtySBPoORtKVbI2l4hYKsdjbvr3758XOSQPvbp8Fx9v/AeTNsAyE6lXeE6kwDq5C37/wP518+FwWyS4ulubSUQsl63ipnTp0uzZs4eAgABKlSqV6YDiNGfOnMm1cJI7vok6yoXElGyte0OIBoVLIRJUHzq8Cn4hUFNj/kTELlvFzeuvv46vr6/j6ysVN1JwzbyvMXWCrnzVSIVSXvmURuQaJCfAqkhoeD+Uv8HedtMgazOJSIGTreLm36eiBgwYkFdZJI+V9/ekYhlvq2OIXJtTe+0zDR/fBvt+gEc2gkuOz6yLSDGQ40n8Nm/ezLZt2xzL33zzDd27d2fs2LEkJWnafhHJA39+Ce+3sRc23gHQfrIKGxHJUo6LmyFDhrBnzx4A9u/fT58+ffD29ubLL7/kqaeeyvWAIlKMJV2EJSPg6wch6QJUugUeXm+/pYKISBZyXNzs2bOHBg0aAPDll1/Spk0bPvvsM+bOnctXX32V2/lEpLg6fxw+uA02fww4QZunod834BdkdTIRKeCu6fYLaXcGX7VqFZ072yfKCg0N5dSpU7mbTkSKL5+A/38Ewl2zoEpbqxOJSCGR4+KmSZMmvPjii4SHh/Pjjz/y7rvvAnDgwAHKlSuX6wFFpBhJigcnF/sNLp1doMf/z2Hjq98tIpJ9OT4tNX36dDZv3szw4cN59tlnqVatGgALFy6kRYsWuR5QRIqJ4zvg/Xaw4pnLbb7lVNiISI7luOemXr166a6WSjNlyhRcXFxyJZSIFCPGwJZPYNmTkJIAiXFw6zjwLm11MhEppK75WspNmzaxc+dOAOrUqUOjRo1yLZSIFBOJ5+HbUbDtC/ty1dugx/sqbETkuuS4uDlx4gR9+vThxx9/pGTJkgCcO3eOdu3aMX/+fMqWLZvbGSWHEpJT2XzwLKk2+/2iElNSLU4kkomYbfZJ+U7vtY+zufU5aPkYOOf4bLmISDo5Lm5GjBjBhQsX+Ouvv6hduzYAO3bsoH///jz66KN8/vnnuR5ScuaZr7exaMuRDO3OumuGFBQpiTCvF5w/Zr8vVM/ZUPFmq1OJSBGR4+Jm+fLlrFq1ylHYgP201IwZM7jjjjtyNZxcmyNnLwEQUtILPy83AKqU9bnqfaVE8o2rB3SaBps/gu7v6jSUiOSqHBc3NpsNNze3DO1ubm6O+W+kYHi2U2063qgJz6SAOLoFLp2Dqu3sy7U6Qs0OoBvxikguy/HJ7VtvvZWRI0dy9OhRR9uRI0d4/PHHue2223I1nIgUAcbAr+/Bh3fAwoEQe/jycypsRCQP5Li4efvtt4mLiyMsLIyqVatStWpVKleuTFxcHG+99VZeZBSRwurSWVhwH3z3FKQmQaWW4O5jdSoRKeJyfFoqNDSUzZs3s3r1asel4LVr1yY8XDeyE5F/OfyHvafm3EFwcYc7XoSmD6m3RkTyXI6KmwULFrBkyRKSkpK47bbbGDFiRF7lkmvw9ebDTFq2i7MXk6yOIsWZMbBxBqyKBFsKlAqDXnMhuKHVyUSkmMh2cfPuu+8ybNgwqlevjpeXF19//TX79u1jypQpeZlPcmDpn8c4dSERADcXJ6oFlrA4kRRLTk5wao+9sKnTHbq+CZ7+VqcSkWIk22Nu3n77bSIjI9m9ezdRUVF89NFHvPPOO3mZTa7R6Dtq8NvYcGqU87U6ihQn/75assMr0GOWvcdGhY2I5LNsFzf79++nf//+juV7772XlJQUjh07lifB5NoF+npSysfd6hhSXNhssP51+Kz35QLHzQvq9db4GhGxRLZPSyUmJuLjc/kqB2dnZ9zd3bl06VKeBBORQiD+FCwaAntX2Zd3L4XaXazNJCLFXo4GFI8bNw5vb2/HclJSEi+99BL+/pe7nadNm5Z76USk4IreAF8Nst9CwdUTOk6BWp2tTiUikv3ipnXr1uzevTtdW4sWLdi/f79j2Uld0CJFny0V1k2DtZPA2CCgpn1sTbk6VicTEQFyUNysXbs2D2OISKGxdBRsmmv/ukFfe4+NJuYTkQIkxzMU54UZM2YQFhaGp6cnzZo147fffsvWdvPnz8fJyYnu3bvnbUARuazJIPAqBd1nQvd3VNiISIFjeXGzYMECRo0aRWRkJJs3b6Z+/fpERERw4sSJK24XHR3N6NGjadWqVT4lFSmmbKlw6F9/cATVg8e2Q4N7rMskInIFlhc306ZNY/DgwQwcOJA6deowc+ZMvL29mT17dpbbpKam0rdvXyZMmECVKlXyMa1IMRN3DD7qCnM6wpFNl9s9NEGkiBRclhY3SUlJbNq0Kd19qZydnQkPD2fjxo1Zbjdx4kQCAwMZNGhQfsQUKZ72roKZt8A/68HVA87HWJ1IRCRbcnzjzNx06tQpUlNTKVeuXLr2cuXKsWvXrky3Wb9+PR9++CFRUVHZeo3ExEQSExMdy3FxcdectyBLtRk2HzxrdQwpClJTYM2L9on5AMrdaL8aKqCapbFERLLrmnpu1q1bx3333Ufz5s05cuQIAJ988gnr16/P1XD/df78ee6//35mzZpFQEBAtraZPHky/v7+jkdoaGieZrTKq8t3cfZiMqBJYeU6xB6GuZ0uFzY3PQgPrlJhIyKFSo6Lm6+++oqIiAi8vLzYsmWLo1ckNjaWSZMm5WhfAQEBuLi4cPz48XTtx48fp3z58hnW37dvH9HR0XTp0gVXV1dcXV35+OOPWbJkCa6uruzbty/DNs888wyxsbGOx6FDh3KUsbA4dPai4+vWNcpamEQKtZ3/g0O/gIefvbem01Rw87Q6lYhIjuS4uHnxxReZOXMms2bNws3NzdHesmVLNm/enKN9ubu707hxY1avXu1os9lsrF69mubNm2dYv1atWmzbto2oqCjHo2vXrrRr146oqKhMe2U8PDzw8/NL9yjKXuhWl3J++jCSa9R0CLQcCUN+hLp3Wp1GROSa5HjMze7du2ndunWGdn9/f86dO5fjAKNGjaJ///40adKEpk2bMn36dOLj4xk4cCAA/fr1IyQkhMmTJ+Pp6ckNN9yQbvuSJUsCZGgXkWw4dxB+eMneQ+NRApyd4faJVqcSEbkuOS5uypcvz969ewkLC0vXvn79+mu6LLtPnz6cPHmS8ePHExMTQ4MGDVi+fLljkPHBgwdxdrb8inWRomfXUlj8CCTE2ifi66z7wolI0ZDj4mbw4MGMHDmS2bNn4+TkxNGjR9m4cSOjR49m3Lhx1xRi+PDhDB8+PNPnrnbbh7lz517Ta4oUWylJsHI8/PqufTmksf1UlIhIEZHj4mbMmDHYbDZuu+02Ll68SOvWrfHw8GD06NGMGDEiLzLKVazccZxl2zQHiWTDmQOwcCAc3WJfbj4cbosEV3drc4mI5KIcFzdOTk48++yzPPnkk+zdu5cLFy5Qp04dSpTQjKVWWfrnUcfX1QJ9LUwiBdqBdTD/XkiMu3xvqJrtrU4lIpLrrnkSP3d3d+rUqZObWeQ6PdS6Cs2rlrE6hhRUAdXtMw0H3gw9PwT/ClYnEhHJEzkubtq1a4fTFWaJ++GHH64rkFy7QF8PqyNIQRN/Gnz+v+D1LQ8DlkHpyuDiduXtREQKsRwXNw0aNEi3nJycTFRUFNu3b6d///65lUtErte2hfC/x6Db21C3u72tbA0rE4mI5IscFzevv/56pu3PP/88Fy5cuO5AInKdki/Bd0/D5o/sy1vnXy5uRESKgVybQOa+++5j9uzZubU7yaZFWw6zOOro1VeU4uHkHph12/8XNk7Q+ino86nVqURE8lWu3RV848aNeHpq2v/8FHsxmVFfbHUs+3lqHEWxFvU5LB0FyRfBJxB6vA9V21mdSkQk3+W4uOnRo0e6ZWMMx44d448//rjmSfzk2iSmpGKM/etxnevQuX6QtYHEOkejYPHD9q8rt4YeH4BvOUsjiYhYJcfFjb+/f7plZ2dnatasycSJE7njjjtyLZhkn7MTDLqlstUxxErBDewT8nn6Q6snwNnF6kQiIpbJUXGTmprKwIEDufHGGylVqlReZRKRqzEGtn4OlduAf4i9LeIlazOJiBQQORpQ7OLiwh133HFNd/8WkVySeB6+fsh+08uvBkFqitWJREQKlBxfLXXDDTewf//+vMgiIlcTsw3ebwvbvgAnF6h+Bzjl2kWPIiJFQo5/K7744ouMHj2ab7/9lmPHjhEXF5fuISJ5wBj4Y7b9Mu/Te8EvBAYug1ajwFnFjYjIv2V7zM3EiRN54okn6NixIwBdu3ZNdxsGYwxOTk6kpqbmfkqR4izxPCwZAX8tsi/XaA/d3wXv0tbmEhEpoLJd3EyYMIGHH36YNWvW5GUeEfkvJxc4uRucXSH8eftVUVe4v5uISHGX7eLG/P+EKm3atMmzMCLy/4yxP5ydwd0bes2FhDgIvcnqZCIiBV6OTtZf6W7gIpJLLp2DL+6HDf+6j1vZmipsRESyKUfz3NSoUeOqBc6ZM2euK5BIsXZ4EywcAOcOwt+roOH9UCLQ6lQiIoVKjoqbCRMmZJihWKzxe/QZBs753eoYkluMgV/egZWRYEuGUmHQc44KGxGRa5Cj4ubuu+8mMFC/bAuC7/+K4UKiffK2aoElLE4j1+XiGVg8FPZ8Z1+u0w26vmW/lYKIiORYtosbjbcpWNJumNmqegCz+jWxNoxcu5Qk+CAczuwDFw9oPwmaDNLVUCIi1yHbA4rTrpaSgqVusD+ebrpJYqHl6g43PwKlq8KDq+CmB1XYiIhcp2z33NhstrzMIVJ8xJ+G+JMQWMu+fNOD0KCv/ZJvERG5bpq3XSQ//fMzzGwJn/eBhFh7m5OTChsRkVyUowHFYr0f95zkpz0n+fXAaaujSE7YbLB+KqyZBMYGATUg/pQGDYuI5AEVN4XMiM82E5eQ4lj29dS3sMC7cAK+fgj2//+tS+rfC51eA3cfa3OJiBRR+mQsZC4m2W9Mev/NlSjv78m9TStanEiuaP+P8PVguHAc3Lyh01RocK/VqUREijQVN4XUsHbVKO/vaXUMuZpf3rEXNmVr2+8PlTaIWERE8oyKG5G81O0d+z2i2o7VoGERkXyiq6VEctPe1bDi2cvLPmXgjhdV2IiI5CP13BRgR85d4kRcQro2myZTLJhSU2DtJFg3DTAQ2gzqdLU6lYhIsaTipoDaFRNHhzfWkVUto0lsC5DYI/DVg3DwZ/tykweg+u3WZhIRKcZU3BRQ0acuYgy4uzgT6OeR7rlGFUsR6OuRxZaSr/Z8D4uGwKUz4O4LXd+EG3pYnUpEpFhTcVPA1avgz8JHWlgdQzLz02vwwwv2r4MaQK85ULqKpZFERETFjci1C24AOEHTh+COF8BVvWkiIgWBihuRnLhwEkqUtX9dLRyG/Qpla1qbSURE0tGl4CLZkZIEy5+BtxvDmQOX21XYiIgUOOq5KUD+t/UoU7/fTXKq4VJyqtVxJM3ZaPhyIBzdbF/euwqaDrY0koiIZE3FTQHy1ebDRJ++mK6tSlndXNFSO76Bb0ZAYix4lYLu70LNDlanEhGRK1BxU4CkzWnz6G3VubVWIK7OTtQO8rM2VHGVnADfPwe/z7IvhzaDuz6EkqHW5hIRkatScVMAVSrtTYPQklbHKN5+nXm5sGn5GNz6HLi4WRpJRESyR8WNSGZufgSi10GzhzXbsIhIIaOrpUQAki/Bhjft94gC+5w1932lwkZEpBBSz00B8uOek1ZHKJ5O7oEvB8CJvyAhFm4bZ3UiERG5DipuCoh9Jy84vvbx0Lcl32ydD9+OguR48AmEsFusTiQiItdJn6IFRHxiiuPrtjXLWpikmEiKh2VPQdSn9uXKraHHB+BbztpcIiJy3VTcFDDB/p54urlYHaNoO7kbvugHJ3eBkzO0GQOtR4OzjruISFGg4kaKH2ODs/9AifJw1wdQuZXViUREJBepuJHiwZZ6uWcmsDbc/SmUr3/5JpgiIlJk6FLwAiJtdmLJAzHb4N0W8M/Gy23VwlXYiIgUUSpuCoh31u4FwKYiJ/cYA3/Mhlm32cfXrBynKlJEpBjQaakCIq2o8XbXoNZckRAH/xsJf31tX65+B3SfCU5O1uYSEZE8p+KmgHmwVRWrIxR+R6Ng4UA4sx+cXeG2SGg+HJzVUSkiUhyouJGi5fgO+PB2SE0C/1DoORtCm1qdSkRE8pGKGylaAmtDjQj71VHdZoB3aasTiYhIPisQ/fQzZswgLCwMT09PmjVrxm+//ZblurNmzaJVq1aUKlWKUqVKER4efsX1pRg4stl+Tyiwj6npMQvu/kyFjYhIMWV5cbNgwQJGjRpFZGQkmzdvpn79+kRERHDixIlM11+7di333HMPa9asYePGjYSGhnLHHXdw5MiRfE6ee1JthpU7jlsdo/AxBjbOgA/vsA8eTrsSys1LA4dFRIoxy4ubadOmMXjwYAYOHEidOnWYOXMm3t7ezJ49O9P1582bx9ChQ2nQoAG1atXigw8+wGazsXr16nxOnnv+fdPMsDLeFiYpRC6egfn3woqxYEu2zzqcmmR1KhERKQAsLW6SkpLYtGkT4eHhjjZnZ2fCw8PZuHHjFba87OLFiyQnJ1O6dOE9BfHvqVdaVAuwLkhhceg3mNkKdi8DF3fo+Br0+ghcPaxOJiIiBYClA4pPnTpFamoq5cqlvxNzuXLl2LVrV7b28fTTTxMcHJyuQPq3xMREEhMTHctxcXHXHjiPBZRwtzpCwWazwc9vwuqJYFKhdBXoNReC6ludTEREChDLT0tdj5dffpn58+ezaNEiPD09M11n8uTJ+Pv7Ox6hoaH5nFJyTcI5+HWmvbC5oScM+UmFjYiIZGBpcRMQEICLiwvHj6cfTHv8+HHKly9/xW1fe+01Xn75Zb7//nvq1auX5XrPPPMMsbGxjsehQ4dyJbtYwLs03PUhdHnDfjdvD1+rE4mISAFkaXHj7u5O48aN0w0GThsc3Lx58yy3e/XVV3nhhRdYvnw5TZo0ueJreHh44Ofnl+4hhYTNBj9Nga0LLreFtYTGA3Q1lIiIZMnySfxGjRpF//79adKkCU2bNmX69OnEx8czcOBAAPr160dISAiTJ08G4JVXXmH8+PF89tlnhIWFERMTA0CJEiUoUaKEZe9DctmFE/D1Q7B/Dbh5Q+VW4BdsdSoRESkELC9u+vTpw8mTJxk/fjwxMTE0aNCA5cuXOwYZHzx4EOd/3RPo3XffJSkpiZ49e6bbT2RkJM8//3x+Rpe8cuAn+OpBuHAcXL2g4xTwDbI6lYiIFBKWFzcAw4cPZ/jw4Zk+t3bt2nTL0dHReR9IrGFLtZ+G+vEV+7w1ZWvbr4YKrGV1MhERKUQKRHEjQmoKfNoDDvxoX254P3R4Fdw1qaGIiOSMihspGFxcIaQRHP4DukyHer2tTiQiIoWUipsCwGCuvlJRlJpin7vG5/9nZW73LDTqZ5+cT0RE5BoV6kn8iooP1h0AwFacapzYI/BRZ5jXC1L+/55QLm4qbERE5Lqp56YASEhOBcDVuZjM3bLne1g0BC6dAXdfOLEDghtYnUpERIoIFTcFyNC2Va2OkLdSk+33hfr5TftyUH3oOQfKFPH3LSIi+UrFjeSPcwdh4QNw+Hf7ctMhcMcLupO3iIjkOhU3kj+WjLAXNh7+0O1tqNPV6kQiIlJEaUCx5I9O06BKW3j4JxU2IiKSp9RzY4HtR2J5dvF24hNTAIiJTbA4UR44Gw37f4TG/e3LZapCv28sjSQiIsWDihsLfPvnMbYeOpehvWKZIjIb745v4JsRkBgHJStC1XZWJxIRkWJExY0FjLFPaNO5XhD33VwJgNI+7tQo52tlrOuXnADfPwe/z7IvV2iqK6FERCTfqbixUHBJL26uUsbqGLnj9D74cgDE/GlfbjkSbh1nn5hPREQkH6m4kev31yL7aaik8+BVGu58D2rcYXUqEREpplTcyPVLircXNhVbwF0fgH+I1YlERKQYU3FjgY37T1sd4fqlptjv5A3QoC+4+0CtLpfbRERELKJ5bvJZSqqNPw/HAuBSWO8ltXU+vNsCLp6xLzs5Qd07VdiIiEiBoOImn6Way7f+vqtRBQuTXIOkeFg8zH7Ty1O74deZVicSERHJQH9qWyjQrxDdV+nETvvVUCd3AU7Qdgy0ftLqVCIiIhmouJErMwai5sHS0ZByCUqUsw8artza6mQiIiKZUnEjV/b7B7BstP3rKu2gx/tQItDaTCIiIlegMTf57ERcotURcubGXlC6in1Cvvu+VmEjIiIFnnpu8tHKHccZ/PEfVse4MmNg/xp7L42TE3iVhEc2gpun1clERESyRT03+Wh3TJzj6043BuHrUcBqy4Q4+GoQfHInbJp7uV2FjYiIFCIF7NO1eLinaSiTe9SzOkZ6x7bar4Y6sx+cXSElwepEIiIi10TFTXFnjH3Q8IqxkJoE/qHQczaENrU6mYiIyDVRcVOcXToHS0bAziX25ZododsM8C5taSwREZHroeKmODuxA3Z9C85ucPtEuPkR+yBiERGRQkzFTT56/6f9VkdIr1IL6DgFghtCSGOr04iIiOQKXS2Vj+KTUgHwdHOxJsDFM7BwEJz6+3LbTQ+qsBERkSJFPTf5yMXZiVSb4YGWlfP/xQ/9BgsfgNhD9iuiBv+gU1AiIlIkqbixgLNzPhYVNhtsfAtWTwRbCpSqDJ1fV2EjIiJFloqboiz+NCx+GP7+3r5ctwd0eQM8/azNJSIikodU3BRVp/fB3M5w/ii4ekL7l6HxAPXYiIhIkafipqgqWRFKhoK7D/SaC+VvsDqRiIhIvlBxU5TEnwIPP3B1Bxc36P0xuJcAjxJWJxMREck3uhS8qDjwE7zbAlZPuNzmW16FjYiIFDsqbgo7WyqsfRk+7gYXjsPe1ZB00epUIiIiltFpqcLsfAx8PdjeawPQ8D7oMAXcva3NJSIiYiEVN4XVvh/g64cg/iS4+UDnaVD/bqtTiYiIWE7FTWF06Rx8MQASYyGwrv1qqLI1LA4lIiJSMKi4KYy8Stp7aqLX2eevcfOyOpGIiEiBoeKmsPh7Jbh6QOXW9uUbe9ofIiIiko6uliroUpNh5XiY19N+R+8LJ6xOJCIiUqCp56YgO3fIfifvw7/Zl+t0s0/SJyIiIllScVNQ7VoGix+BhHPg4Q/d3rIXNyJiGWMMKSkppKamWh1FpEhyc3PDxcXluvej4qagsaXC9+Pglxn25eBG0HM2lK5sbS6RYi4pKYljx45x8aImyRTJK05OTlSoUIESJa5vdn0VN/ng6LlLjPl6G0kptquv7ORsn7sG4OahED7Bfq8oEbGMzWbjwIEDuLi4EBwcjLu7O05OTlbHEilSjDGcPHmSw4cPU7169evqwVFxkw9W7zrBT3vsBYu3uwslvdwyrpSaAi6u4ORkv8y7Xm+ofns+JxWRzCQlJWGz2QgNDcXbWzOAi+SVsmXLEh0dTXJy8nUVN7paKh/YbAaAEh6ufP94a3w8/lVTpiTCsifhi/vB2NfDw1eFjUgB5OysX5kieSm3ekTVc5OP2tQsS4VS//qr7/Q+WDgQjm21Lx/cCJVaWBNORESkiFBxY5XtX8GSkZB0HrxKw50zVdiIiIjkAvWx5rfkS/C/x+zz1ySdh4rN4eH1UCPC6mQiIvIvu3fvpnz58pw/f97qKEXGzTffzFdffZXnr6PiJo8lpdhYuOnw5YaFD8CmOYATtHoC+n8L/iGW5RORom3AgAE4OTnh5OSEm5sblStX5qmnniIhISHDut9++y1t2rTB19cXb29vbrrpJubOnZvpfr/66ivatm2Lv78/JUqUoF69ekycOJEzZ87k8TvKP8888wwjRozA19c3w3O1atXCw8ODmJiYDM+FhYUxffr0DO3PP/88DRo0SNcWExPDiBEjqFKlCh4eHoSGhtKlSxdWr16dW28jU19++SW1atXC09OTG2+8kWXLll11m3nz5lG/fn28vb0JCgrigQce4PTp05muO3/+fJycnOjevXu69ueee44xY8Zgs2Xj6uHroOImj63aeZxtR2IB8HR1sRc0vsFw31dw23j7FVIiInmoffv2HDt2jP379/P666/z3nvvERkZmW6dt956i27dutGyZUt+/fVX/vzzT+6++24efvhhRo8enW7dZ599lj59+nDTTTfx3XffsX37dqZOncrWrVv55JNP8u19JSUl5dm+Dx48yLfffsuAAQMyPLd+/XouXbpEz549+eijj675NaKjo2ncuDE//PADU6ZMYdu2bSxfvpx27doxbNiw60h/ZT///DP33HMPgwYNYsuWLXTv3p3u3buzffv2LLfZsGED/fr1Y9CgQfz11198+eWX/PbbbwwePDjT9zV69GhatWqV4bkOHTpw/vx5vvvuu1x9TxmYYiY2NtYAJjY2Nl9eb8HPu0zvMVNMpae/NXti4uyNyQn58toikjsuXbpkduzYYS5duuRos9lsJj4xOd8fNpstR9n79+9vunXrlq6tR48epmHDho7lgwcPGjc3NzNq1KgM27/55psGML/88osxxphff/3VAGb69OmZvt7Zs2ezzHLo0CFz9913m1KlShlvb2/TuHFjx34zyzly5EjTpk0bx3KbNm3MsGHDzMiRI02ZMmVM27ZtzT333GN69+6dbrukpCRTpkwZ89FHHxljjElNTTWTJk0yYWFhxtPT09SrV898+eWXWeY0xpgpU6aYJk2aZPrcgAEDzJgxY8x3331natSokeH5SpUqmddffz1De2RkpKlfv75juUOHDiYkJMRcuHAhw7pXOo7Xq3fv3qZTp07p2po1a2aGDBmS5TZTpkwxVapUSdf25ptvmpCQkHRtKSkppkWLFuaDDz7I9HtqjDEDBw409913X6avk9n/tTQ5+fxWt0FeOrGLOzb0pav7P7xcYQbVy/1/16arh7W5ROS6XUpOpc74Ffn+ujsmRuDtfu2/urdv387PP/9MpUqVHG0LFy4kOTk5Qw8NwJAhQxg7diyff/45zZo1Y968eZQoUYKhQ4dmuv+SJUtm2n7hwgXatGlDSEgIS5YsoXz58mzevDnHpyc++ugjHnnkETZs2ADA3r176dWrFxcuXHDMartixQouXrzInXfeCcDkyZP59NNPmTlzJtWrV+enn37ivvvuo2zZsrRp0ybT11m3bh1NmjTJ0H7+/Hm+/PJLfv31V2rVqkVsbCzr1q3LtJfiSs6cOcPy5ct56aWX8PHxyfB8VscR7KeHhgwZcsX9f/fdd1lm2rhxI6NGjUrXFhERweLFi7PcX/PmzRk7dizLli2jQ4cOnDhxgoULF9KxY8d0602cOJHAwEAGDRrEunXrMt1X06ZNefnll6+Y/3oViOJmxowZTJkyhZiYGOrXr89bb71F06ZNs1z/yy+/ZNy4cURHR1O9enVeeeWVDAfYUsZA1DxYOpqSKZc4QUm8jKZsFxFrfPvtt5QoUYKUlBQSExNxdnbm7bffdjy/Z88e/P39CQoKyrCtu7s7VapUYc+ePQD8/fffVKlSBTe3TCYjvYLPPvuMkydP8vvvv1O6dGkAqlWrluP3Ur16dV599VXHctWqVfHx8WHRokXcf//9jtfq2rUrvr6+JCYmMmnSJFatWkXz5s0BqFKlCuvXr+e9997Lsrj5559/Mi1u5s+fT/Xq1albty4Ad999Nx9++GGOi5u9e/dijKFWrVo52g6ga9euNGvW7IrrhIRkPZYzJiaGcuXKpWsrV65cpuOH0rRs2ZJ58+bRp08fEhISSElJoUuXLsyYMcOxzvr16/nwww+Jioq6Yrbg4GAOHTqEzWbLs7mjLC9uFixYwKhRo5g5cybNmjVj+vTpREREsHv3bgIDAzOsn3aucPLkyXTu3JnPPvuM7t27s3nzZm644QYL3sF/JF6ApU/An/MBOBbQnC6H+9HQs4bFwUQkN3m5ubBjYv5f5ejllvNZW9u1a8e7775LfHw8r7/+Oq6urtx1113X9PombbLRHIqKiqJhw4aOwuZaNW7cON2yq6srvXv3Zt68edx///3Ex8fzzTffMH++/Xfw3r17uXjxIrffnn5i1KSkJBo2bJjl61y6dAlPT88M7bNnz+a+++5zLN933320adOGt956K9OBx1m51uMI4Ovrm6PXyg07duxg5MiRjB8/noiICI4dO8aTTz7Jww8/zIcffsj58+e5//77mTVrFgEBAVfcl5eXFzabjcTERLy8vPIkr+XFzbRp0xg8eDADBw4EYObMmSxdupTZs2czZsyYDOu/8cYbtG/fnieffBKAF154gZUrV/L2228zc+bMfM3+b4kpqZzbv4XS3w3B7exejJMzcTc/ySL3npw6/LdluUQkbzg5OV3X6aH85OPj4+glmT17NvXr1+fDDz9k0KBBANSoUYPY2FiOHj1KcHBwum2TkpLYt28f7dq1c6y7fv16kpOTc9R7c7UPMWdn5wwf+MnJyZm+l//q27cvbdq04cSJE6xcuRIvLy/at28P2E+HASxdujRDb4aHR9ZDBAICAjh79my6th07dvDLL7/w22+/8fTTTzvaU1NTmT9/vmNwrZ+fH7GxsRn2ee7cOfz9/QF7D5STkxO7du3KMkNWrve0VPny5Tl+/Hi6tuPHj1O+fPks9zd58mRatmzp+OytV68ePj4+tGrVihdffJHjx48THR1Nly5dHNuknXJ0dXVl9+7dVK1aFbCfkvPx8cmzwgYsvloqKSmJTZs2ER4e7mhzdnYmPDycjRs3ZrrNxo0b060P9nOFWa2fmJhIXFxcukde+OtoHJ9+9C5uZ/cSY0rRJ+FZ6q+pz6srVNiISMHh7OzM2LFjee6557h06RIAd911F25ubkydOjXD+jNnziQ+Pp577rkHgHvvvZcLFy7wzjvvZLr/c+fOZdper149oqKisrxUvGzZshw7dixd29VOb6Rp0aIFoaGhLFiwgHnz5tGrVy9H4VWnTh08PDw4ePAg1apVS/cIDQ3Ncp8NGzZkx44d6do+/PBDWrduzdatW4mKinI8Ro0axYcffuhYr2bNmmzatCnDPjdv3kyNGvZe/NKlSxMREcGMGTOIj4/PsG5WxxHsp6X+/fqZPTI7pZamefPmGS41X7lypeO0XWYuXryY4RRS2r2f0k6vbdu2LV2Grl270q5dO6KiotId6+3bt1+x1yxXXHXIcR46cuSIAczPP/+crv3JJ580TZs2zXQbNzc389lnn6VrmzFjhgkMDMx0/cjISANkeOT21VKb/zljaj37rZkxrr9p9ux8U+PZZY7HDeOXmy9+P5irryci+edKV3AUdJldsZKcnGxCQkLMlClTHG2vv/66cXZ2NmPHjjU7d+40e/fuNVOnTjUeHh7miSeeSLf9U089ZVxcXMyTTz5pfv75ZxMdHW1WrVplevbsmeVVVImJiaZGjRqmVatWZv369Wbfvn1m4cKFjt//y5cvN05OTuajjz4ye/bsMePHjzd+fn4ZrpYaOXJkpvt/9tlnTZ06dYyrq6tZt25dhufKlClj5s6da/bu3Ws2bdpk3nzzTTN37twsj9uSJUtMYGCgSUlJMcbYr8AqW7aseffddzOsu2PHDgOY7du3G2OM2bBhg3F2djYvvvii2bFjh9m2bZsZO3ascXV1Ndu2bXNst2/fPlO+fHlTp04ds3DhQrNnzx6zY8cO88Ybb5hatWplme16bdiwwbi6uprXXnvN7Ny500RGRho3N7d02caMGWPuv/9+x/KcOXOMq6ureeedd8y+ffvM+vXrTZMmTbL8rDYm8589Y+zfx4kTJ2a6TW5dLVXki5uEhAQTGxvreBw6dChfLwUXkcKvqBU3xhgzefJkU7Zs2XSXIX/zzTemVatWxsfHx3h6eprGjRub2bNnZ7rfBQsWmNatWxtfX1/j4+Nj6tWrZyZOnHjFS5ijo6PNXXfdZfz8/Iy3t7dp0qSJ+fXXXx3Pjx8/3pQrV874+/ubxx9/3AwfPjzbxU1agVGpUqUMl8vbbDYzffp0U7NmTePm5mbKli1rIiIizI8//phl1uTkZBMcHGyWL19ujDFm4cKFxtnZ2cTExGS6fu3atc3jjz/uWF6xYoVp2bKlKVWqlOOy9cxe7+jRo2bYsGGmUqVKxt3d3YSEhJiuXbuaNWvWZJktN3zxxRemRo0axt3d3dStW9csXbo03fP9+/dPd+yNsV/6XadOHePl5WWCgoJM3759zeHDh7N8jcx+9g4fPmzc3NzMoUOHMt0mt4obJ2OuY1TTdUpKSsLb25uFCxemm8Wwf//+nDt3jm+++SbDNhUrVmTUqFE89thjjrbIyEgWL17M1q1br/qacXFx+Pv7Exsbi5+fX268DREp4hISEjhw4ACVK1fOdJCpFE0zZsxgyZIlrFiR/5f8F1VPP/00Z8+e5f3338/0+Sv9X8vJ57elY27c3d1p3LhxunN/NpuN1atXZ3nu71rOFYqIiOTUkCFDaN26te4tlYsCAwN54YUX8vx1LB/qP2rUKPr370+TJk1o2rQp06dPJz4+3nH1VL9+/QgJCWHy5MkAjBw5kjZt2jB16lQ6derE/Pnz+eOPP7KsAkVERK6Fq6srzz77rNUxipQnnngiX17H8uKmT58+nDx5kvHjxxMTE0ODBg1Yvny5Y4KhgwcPphuh3aJFCz777DOee+45xo4dS/Xq1Vm8eHHBmONGRERELGfpmBsraMyNiOSUxtyI5I8iMeZGRKQwKWZ/C4rku9z6P6biRkTkKtImhLt4UfeIE8lLSUlJwOUJAq+V5WNuREQKOhcXF0qWLMmJEycA8Pb2xsnJyeJUIkWLzWbj5MmTeHt74+p6feWJihsRkWxIu+9OWoEjIrnP2dmZihUrXvcfDypuRESywcnJiaCgIAIDAzO9oaOIXD93d/cM97C6FipuRERywMXF5brHA4hI3tKAYhERESlSVNyIiIhIkaLiRkRERIqUYjfmJm2CoLi4OIuTiIiISHalfW5nZ6K/YlfcpN3dNTQ01OIkIiIiklPnz5/H39//iusUu3tL2Ww2jh49iq+vb65PwhUXF0doaCiHDh3SfavykI5z/tBxzh86zvlHxzp/5NVxNsZw/vx5goODr3q5eLHruXF2dqZChQp5+hp+fn76j5MPdJzzh45z/tBxzj861vkjL47z1Xps0mhAsYiIiBQpKm5ERESkSFFxk4s8PDyIjIzEw8PD6ihFmo5z/tBxzh86zvlHxzp/FITjXOwGFIuIiEjRpp4bERERKVJU3IiIiEiRouJGREREihQVNyIiIlKkqLjJoRkzZhAWFoanpyfNmjXjt99+u+L6X375JbVq1cLT05Mbb7yRZcuW5VPSwi0nx3nWrFm0atWKUqVKUapUKcLDw6/6fRG7nP48p5k/fz5OTk507949bwMWETk9zufOnWPYsGEEBQXh4eFBjRo19LsjG3J6nKdPn07NmjXx8vIiNDSUxx9/nISEhHxKWzj99NNPdOnSheDgYJycnFi8ePFVt1m7di2NGjXCw8ODatWqMXfu3DzPiZFsmz9/vnF3dzezZ882f/31lxk8eLApWbKkOX78eKbrb9iwwbi4uJhXX33V7Nixwzz33HPGzc3NbNu2LZ+TFy45Pc733nuvmTFjhtmyZYvZuXOnGTBggPH39zeHDx/O5+SFS06Pc5oDBw6YkJAQ06pVK9OtW7f8CVuI5fQ4JyYmmiZNmpiOHTua9evXmwMHDpi1a9eaqKiofE5euOT0OM+bN894eHiYefPmmQMHDpgVK1aYoKAg8/jjj+dz8sJl2bJl5tlnnzVff/21AcyiRYuuuP7+/fuNt7e3GTVqlNmxY4d56623jIuLi1m+fHme5lRxkwNNmzY1w4YNcyynpqaa4OBgM3ny5EzX7927t+nUqVO6tmbNmpkhQ4bkac7CLqfH+b9SUlKMr6+v+eijj/IqYpFwLcc5JSXFtGjRwnzwwQemf//+Km6yIafH+d133zVVqlQxSUlJ+RWxSMjpcR42bJi59dZb07WNGjXKtGzZMk9zFiXZKW6eeuopU7du3XRtffr0MREREXmYzBidlsqmpKQkNm3aRHh4uKPN2dmZ8PBwNm7cmOk2GzduTLc+QERERJbry7Ud5/+6ePEiycnJlC5dOq9iFnrXepwnTpxIYGAggwYNyo+Yhd61HOclS5bQvHlzhg0bRrly5bjhhhuYNGkSqamp+RW70LmW49yiRQs2bdrkOHW1f/9+li1bRseOHfMlc3Fh1edgsbtx5rU6deoUqamplCtXLl17uXLl2LVrV6bbxMTEZLp+TExMnuUs7K7lOP/X008/TXBwcIb/UHLZtRzn9evX8+GHHxIVFZUPCYuGaznO+/fv54cffqBv374sW7aMvXv3MnToUJKTk4mMjMyP2IXOtRzne++9l1OnTnHLLbdgjCElJYWHH36YsWPH5kfkYiOrz8G4uDguXbqEl5dXnryuem6kSHn55ZeZP38+ixYtwtPT0+o4Rcb58+e5//77mTVrFgEBAVbHKdJsNhuBgYG8//77NG7cmD59+vDss88yc+ZMq6MVKWvXrmXSpEm88847bN68ma+//pqlS5fywgsvWB1NcoF6brIpICAAFxcXjh8/nq79+PHjlC9fPtNtypcvn6P15dqOc5rXXnuNl19+mVWrVlGvXr28jFno5fQ479u3j+joaLp06eJos9lsALi6urJ7926qVq2at6ELoWv5eQ4KCsLNzQ0XFxdHW+3atYmJiSEpKQl3d/c8zVwYXctxHjduHPfffz8PPvggADfeeCPx8fE89NBDPPvsszg762//3JDV56Cfn1+e9dqAem6yzd3dncaNG7N69WpHm81mY/Xq1TRv3jzTbZo3b55ufYCVK1dmub5c23EGePXVV3nhhRdYvnw5TZo0yY+ohVpOj3OtWrXYtm0bUVFRjkfXrl1p164dUVFRhIaG5mf8QuNafp5btmzJ3r17HcUjwJ49ewgKClJhk4VrOc4XL17MUMCkFZRGt1zMNZZ9DubpcOUiZv78+cbDw8PMnTvX7Nixwzz00EOmZMmSJiYmxhhjzP3332/GjBnjWH/Dhg3G1dXVvPbaa2bnzp0mMjJSl4JnQ06P88svv2zc3d3NwoULzbFjxxyP8+fPW/UWCoWcHuf/0tVS2ZPT43zw4EHj6+trhg8fbnbv3m2+/fZbExgYaF588UWr3kKhkNPjHBkZaXx9fc3nn39u9u/fb77//ntTtWpV07t3b6veQqFw/vx5s2XLFrNlyxYDmGnTppktW7aYf/75xxhjzJgxY8z999/vWD/tUvAnn3zS7Ny508yYMUOXghdEb731lqlYsaJxd3c3TZs2Nb/88ovjuTZt2pj+/funW/+LL74wNWrUMO7u7qZu3bpm6dKl+Zy4cMrJca5UqZIBMjwiIyPzP3ghk9Of539TcZN9OT3OP//8s2nWrJnx8PAwVapUMS+99JJJSUnJ59SFT06Oc3Jysnn++edN1apVjaenpwkNDTVDhw41Z8+ezf/ghciaNWsy/X2bdmz79+9v2rRpk2GbBg0aGHd3d1OlShUzZ86cPM/pZIz630RERKTo0JgbERERKVJU3IiIiEiRouJGREREihQVNyIiIlKkqLgRERGRIkXFjYiIiBQpKm5ERESkSFFxIyLpzJ07l5IlS1od45o5OTmxePHiK64zYMAAunfvni95RCT/qbgRKYIGDBiAk5NThsfevXutjsbcuXMdeZydnalQoQIDBw7kxIkTubL/Y8eO0aFDBwCio6NxcnIiKioq3TpvvPEGc+fOzZXXy8rzzz/veJ8uLi6Ehoby0EMPcebMmRztR4WYSM7pruAiRVT79u2ZM2dOurayZctalCY9Pz8/du/ejc1mY+vWrQwcOJCjR4+yYsWK69731e4eD+Dv73/dr5MddevWZdWqVaSmprJz504eeOABYmNjWbBgQb68vkhxpZ4bkSLKw8OD8uXLp3u4uLgwbdo0brzxRnx8fAgNDWXo0KFcuHAhy/1s3bqVdu3a4evri5+fH40bN+aPP/5wPL9+/XpatWqFl5cXoaGhPProo8THx18xm5OTE+XLlyc4OJgOHTrw6KOPsmrVKi5duoTNZmPixIlUqFABDw8PGjRowPLlyx3bJiUlMXz4cIKCgvD09KRSpUpMnjw53b7TTktVrlwZgIYNG+Lk5ETbtm2B9L0h77//PsHBwenuwg3QrVs3HnjgAcfyN998Q6NGjfD09KRKlSpMmDCBlJSUK75PV1dXypcvT0hICOHh4fTq1YuVK1c6nk9NTWXQoEFUrlwZLy8vatasyRtvvOF4/vnnn+ejjz7im2++cfQCrV27FoBDhw7Ru3dvSpYsSenSpenWrRvR0dFXzCNSXKi4ESlmnJ2defPNN/nrr7/46KOP+OGHH3jqqaeyXL9v375UqFCB33//nU2bNjFmzBjc3NwA2LdvH+3bt+euu+7izz//ZMGCBaxfv57hw4fnKJOXlxc2m42UlBTeeOMNpk6dymuvvcaff/5JREQEXbt25e+//wbgzTffZMmSJXzxxRfs3r2befPmERYWlul+f/vtNwBWrVrFsWPH+PrrrzOs06tXL06fPs2aNWscbWfOnGH58uX07dsXgHXr1tGvXz9GjhzJjh07eO+995g7dy4vvfRStt9jdHQ0K1aswN3d3dFms9moUKECX375JTt27GD8+PGMHTuWL774AoDRo0fTu3dv2rdvz7Fjxzh27BgtWrQgOTmZiIgIfH19WbduHRs2bKBEiRK0b9+epKSkbGcSKbLy/NacIpLv+vfvb1xcXIyPj4/j0bNnz0zX/fLLL02ZMmUcy3PmzDH+/v6OZV9fXzN37txMtx00aJB56KGH0rWtW7fOODs7m0uXLmW6zX/3v2fPHlOjRg3TpEkTY4wxwcHB5qWXXkq3zU033WSGDh1qjDFmxIgR5tZbbzU2my3T/QNm0aJFxhhjDhw4YACzZcuWdOv8947m3bp1Mw888IBj+b333jPBwcEmNTXVGGPMbbfdZiZNmpRuH5988okJCgrKNIMxxkRGRhpnZ2fj4+NjPD09HXdPnjZtWpbbGGPMsGHDzF133ZVl1rTXrlmzZrpjkJiYaLy8vMyKFSuuuH+R4kBjbkSKqHbt2vHuu+86ln18fAB7L8bkyZPZtWsXcXFxpKSkkJCQwMWLF/H29s6wn1GjRvHggw/yySefOE6tVK1aFbCfsvrzzz+ZN2+eY31jDDabjQMHDlC7du1Ms8XGxlKiRAlsNhsJCQnccsstfPDBB8TFxXH06FFatmyZbv2WLVuydetWwH5K6fbbb6dmzZq0b9+ezp07c8cdd1zXserbty+DBw/mnXfewcPDg3nz5nH33Xfj7OzseJ8bNmxI11OTmpp6xeMGULNmTZYsWUJCQgKffvopUVFRjBgxIt06M2bMYPbs2Rw8eJBLly6RlJREgwYNrph369at7N27F19f33TtCQkJ7Nu37xqOgEjRouJGpIjy8fGhWrVq6dqio6Pp3LkzjzzyCC+99BKlS5dm/fr1DBo0iKSkpEw/pJ9//nnuvfdeli5dynfffUdkZCTz58/nzjvv5MKFCwwZMoRHH300w3YVK1bMMpuvry+bN2/G2dmZoKAgvLy8AIiLi7vq+2rUqBEHDhzgu+++Y9WqVfTu3Zvw8HAWLlx41W2z0qVLF4wxLF26lJtuuol169bx+uuvO56/cOECEyZMoEePHhm29fT0zHK/7u7uju/Byy+/TKdOnZgwYQIvvPACAPPnz2f06NFMnTqV5s2b4+vry5QpU/j111+vmPfChQs0btw4XVGZpqAMGhexkoobkWJk06ZN2Gw2pk6d6uiVSBvfcSU1atSgRo0aPP7449xzzz3MmTOHO++8k0aNGrFjx44MRdTVODs7Z7qNn58fwcHBbNiwgTZt2jjaN2zYQNOmTdOt16dPH/r06UPPnj1p3749Z86coXTp0un2lza+JTU19Yp5PD096dGjB/PmzWPv3r3UrFmTRo0aOZ5v1KgRu3fvzvH7/K/nnnuOW2+9lUceecTxPlu0aMHQoUMd6/y358Xd3T1D/kaNGrFgwQICAwPx8/O7rkwiRZEGFIsUI9WqVSM5OZm33nqL/fv388knnzBz5sws17906RLDhw9n7dq1/PPPP2zYsIHff//dcbrp6aef5ueff2b48OFERUXx999/88033+R4QPG/Pfnkk7zyyissWLCA3bt3M2bMGKKiohg5ciQA06ZN4/PPP2fXrl3s2bOHL7/8kvLly2c68WBgYCBeXl4sX76c48ePExsbm+Xr9u3bl6VLlzJ79mzHQOI048eP5+OPP2bChAn89ddf7Ny5k/nz5/Pcc8/l6L01b96cevXqMWnSJACqV6/OH3/8wYoVK9izZw/jxo3j999/T7dNWFgYf/75J7t37+bUqVMkJyfTt29fAgIC6NatG+vWrePAgQOsXbuWRx99lMOHD+cok0iRZPWgHxHJfZkNQk0zbdo0ExQUZLy8vExERIT5+OOPDWDOnj1rjEk/4DcxMdHcfffdJjQ01Li7u5vg4GAzfPjwdIOFf/vtN3P77bebEiVKGB8fH1OvXr0MA4L/7b8Div8rNTXVPP/88yYkJMS4ubmZ+vXrm++++87x/Pvvv28aNGhgfHx8jJ+fn7ntttvM5s2bHc/zrwHFxhgza9YsExoaapydnU2bNm2yPD6pqakmKCjIAGbfvn0Zci1fvty0aNHCeHl5GT8/P9O0aVPz/vvvZ/k+IiMjTf369TO0f/7558bDw8McPHjQJCQkmAEDBhh/f39TsmRJ88gjj5gxY8ak2+7EiROO4wuYNWvWGGOMOXbsmOnXr58JCAgwHh4epkqVKmbw4MEmNjY2y0wixYWTMcZYW16JiIiI5B6dlhIREZEiRcWNiIiIFCkqbkRERKRIUXEjIiIiRYqKGxERESlSVNyIiIhIkaLiRkRERIoUFTciIiJSpKi4ERERkSJFxY2IiIgUKSpuREREpEhRcSMiIiJFyv8BOzVRA5GUH6gAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import (\n",
    "    accuracy_score,\n",
    "    precision_score,\n",
    "    recall_score,\n",
    "    f1_score,\n",
    "    roc_auc_score,\n",
    "    confusion_matrix,\n",
    "    ConfusionMatrixDisplay,\n",
    ")\n",
    "\n",
    "# Перебор всех моделей и вывод результатов\n",
    "for name, model in models.items():\n",
    "    print(f\"\\nОценка модели: {name}\")\n",
    "\n",
    "    # Обучаем модель\n",
    "    model.fit(X_train, y_train)\n",
    "\n",
    "    # Предсказания\n",
    "    y_pred = model.predict(X_test)\n",
    "\n",
    "    # Метрики\n",
    "    accuracy = accuracy_score(y_test, y_pred)\n",
    "    precision = precision_score(y_test, y_pred)\n",
    "    recall = recall_score(y_test, y_pred)\n",
    "    f1 = f1_score(y_test, y_pred)\n",
    "    roc_auc = roc_auc_score(y_test, model.predict_proba(X_test)[:, 1])\n",
    "\n",
    "    print(f\"Точность (Accuracy): {accuracy:.4f}\")\n",
    "    print(f\"Точность (Precision): {precision:.4f}\")\n",
    "    print(f\"Полнота (Recall): {recall:.4f}\")\n",
    "    print(f\"F1-Score: {f1:.4f}\")\n",
    "    print(f\"AUC: {roc_auc:.4f}\")\n",
    "\n",
    "    # Матрица ошибок\n",
    "    conf_matrix = confusion_matrix(y_test, y_pred)\n",
    "    disp = ConfusionMatrixDisplay(\n",
    "        confusion_matrix=conf_matrix,\n",
    "        display_labels=[\"No Heart Disease\", \"Heart Disease\"],\n",
    "    )\n",
    "    disp.plot(cmap=\"Blues\")\n",
    "    plt.title(f\"Матрица ошибок: {name}\")\n",
    "    plt.show()\n",
    "\n",
    "    # ROC-кривая\n",
    "    fpr, tpr, thresholds = roc_curve(y_test, model.predict_proba(X_test)[:, 1])\n",
    "    plt.figure()\n",
    "    plt.plot(fpr, tpr, label=f\"ROC curve (AUC = {roc_auc:.2f})\")\n",
    "    plt.plot([0, 1], [0, 1], linestyle=\"--\")\n",
    "    plt.xlabel(\"False Positive Rate\")\n",
    "    plt.ylabel(\"True Positive Rate\")\n",
    "    plt.title(f\"ROC-кривая для {name}\")\n",
    "    plt.legend(loc=\"lower right\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Настройки гипермараметров"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 960 candidates, totalling 4800 fits\n",
      "Лучшие параметры для RandomForest: {'max_depth': 10, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 15, 'n_estimators': 300}\n",
      "Точность RandomForest: 0.9460\n",
      "AUC RandomForest: 0.8348\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import accuracy_score, roc_auc_score\n",
    "\n",
    "# Параметры для настройки RandomForest\n",
    "param_grid_rf = {\n",
    "    \"n_estimators\": [100, 200, 300, 500],  # Увеличено количество деревьев\n",
    "    \"max_depth\": [10, 20, 30, 50, None],  # Больше вариантов глубины\n",
    "    \"min_samples_split\": [2, 5, 10, 15],  # Более широкий диапазон\n",
    "    \"min_samples_leaf\": [1, 2, 4, 6],  # Увеличено минимальное число в листе\n",
    "    \"max_features\": [\"sqrt\", \"log2\", None],  # Добавлена настройка признаков для деления\n",
    "}\n",
    "\n",
    "grid_search_rf = GridSearchCV(\n",
    "    estimator=RandomForestClassifier(random_state=42),\n",
    "    param_grid=param_grid_rf,\n",
    "    cv=5,  # Кросс-валидация с 5 фолдами\n",
    "    scoring=\"roc_auc\",  # Оценка по метрике AUC\n",
    "    n_jobs=-1,\n",
    "    verbose=2,  # Вывод прогресса\n",
    ")\n",
    "\n",
    "grid_search_rf.fit(X_train, y_train)\n",
    "\n",
    "# Лучшие параметры и результаты\n",
    "print(\"Лучшие параметры для RandomForest:\", grid_search_rf.best_params_)\n",
    "best_rf_model = grid_search_rf.best_estimator_\n",
    "\n",
    "y_pred_rf = best_rf_model.predict(X_test)\n",
    "accuracy_rf = accuracy_score(y_test, y_pred_rf)\n",
    "roc_auc_rf = roc_auc_score(y_test, best_rf_model.predict_proba(X_test)[:, 1])\n",
    "\n",
    "print(f\"Точность RandomForest: {accuracy_rf:.4f}\")\n",
    "print(f\"AUC RandomForest: {roc_auc_rf:.4f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Логическая регрессия"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 60 candidates, totalling 300 fits\n",
      "Лучшие параметры для LogisticRegression: {'C': 5, 'max_iter': 100, 'penalty': 'l2', 'solver': 'liblinear'}\n",
      "Точность LogisticRegression: 0.9460\n",
      "AUC LogisticRegression: 0.5230\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py:540: FitFailedWarning: \n",
      "150 fits failed out of a total of 300.\n",
      "The score on these train-test partitions for these parameters will be set to nan.\n",
      "If these failures are not expected, you can try to debug them by setting error_score='raise'.\n",
      "\n",
      "Below are more details about the failures:\n",
      "--------------------------------------------------------------------------------\n",
      "75 fits failed with the following error:\n",
      "Traceback (most recent call last):\n",
      "  File \"c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 888, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\base.py\", line 1473, in wrapper\n",
      "    return fit_method(estimator, *args, **kwargs)\n",
      "           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
      "  File \"c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1194, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
      "  File \"c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 75, in _check_solver\n",
      "    raise ValueError(\n",
      "ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "75 fits failed with the following error:\n",
      "Traceback (most recent call last):\n",
      "  File \"c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 888, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\base.py\", line 1473, in wrapper\n",
      "    return fit_method(estimator, *args, **kwargs)\n",
      "           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
      "  File \"c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1204, in fit\n",
      "    raise ValueError(\"l1_ratio must be specified when penalty is elasticnet.\")\n",
      "ValueError: l1_ratio must be specified when penalty is elasticnet.\n",
      "\n",
      "  warnings.warn(some_fits_failed_message, FitFailedWarning)\n",
      "c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\model_selection\\_search.py:1103: UserWarning: One or more of the test scores are non-finite: [0.5074054  0.48088501        nan        nan 0.5074054  0.48088501\n",
      "        nan        nan 0.5074054  0.48088501        nan        nan\n",
      " 0.50938703 0.48088501        nan        nan 0.50938703 0.48088501\n",
      "        nan        nan 0.50938703 0.48088501        nan        nan\n",
      " 0.50984721 0.48088501        nan        nan 0.50984721 0.48088501\n",
      "        nan        nan 0.50984721 0.48088501        nan        nan\n",
      " 0.5098801  0.48088501        nan        nan 0.5098801  0.48088501\n",
      "        nan        nan 0.5098801  0.48088501        nan        nan\n",
      " 0.50983732 0.48088501        nan        nan 0.50983732 0.48088501\n",
      "        nan        nan 0.50983732 0.48088501        nan        nan]\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "# Параметры для настройки LogisticRegression\n",
    "param_grid_lr = {\n",
    "    \"C\": [\n",
    "        0.01,\n",
    "        0.1,\n",
    "        1,\n",
    "        5,\n",
    "        10,\n",
    "    ],  # Регуляризационный параметр, добавлено больше вариантов\n",
    "    \"solver\": [\"liblinear\", \"saga\"],  # Алгоритм оптимизации\n",
    "    \"max_iter\": [100, 200, 300],  # Максимальное количество итераций\n",
    "    \"penalty\": [\"l2\", \"elasticnet\"],  # Добавлена настройка для типа регуляризации\n",
    "}\n",
    "\n",
    "# GridSearchCV для LogisticRegression\n",
    "grid_search_lr = GridSearchCV(\n",
    "    estimator=LogisticRegression(random_state=42),\n",
    "    param_grid=param_grid_lr,\n",
    "    cv=5,  # Увеличена кросс-валидация до 5 фолдов\n",
    "    scoring=\"roc_auc\",  # Используется AUC вместо accuracy для более точной оценки\n",
    "    n_jobs=-1,\n",
    "    verbose=2,  # Вывод прогресса выполнения\n",
    ")\n",
    "\n",
    "grid_search_lr.fit(X_train, y_train)\n",
    "\n",
    "# Лучшие параметры для LogisticRegression\n",
    "print(\"Лучшие параметры для LogisticRegression:\", grid_search_lr.best_params_)\n",
    "\n",
    "# Обучение модели с лучшими параметрами\n",
    "best_lr_model = grid_search_lr.best_estimator_\n",
    "\n",
    "# Оценка лучшей модели\n",
    "y_pred_lr = best_lr_model.predict(X_test)\n",
    "accuracy_lr = accuracy_score(y_test, y_pred_lr)\n",
    "roc_auc_lr = roc_auc_score(y_test, best_lr_model.predict_proba(X_test)[:, 1])\n",
    "\n",
    "print(f\"Точность LogisticRegression: {accuracy_lr:.4f}\")\n",
    "print(f\"AUC LogisticRegression: {roc_auc_lr:.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 162 candidates, totalling 810 fits\n",
      "Лучшие параметры для GradientBoosting: {'learning_rate': 0.01, 'max_depth': 3, 'min_samples_split': 5, 'n_estimators': 100, 'subsample': 0.8}\n",
      "Точность GradientBoosting: 0.9460\n",
      "AUC GradientBoosting: 0.8416\n"
     ]
    }
   ],
   "source": [
    "# Параметры для настройки GradientBoosting\n",
    "param_grid_gb = {\n",
    "    \"n_estimators\": [100, 200, 300],  # Количество деревьев\n",
    "    \"learning_rate\": [0.01, 0.05, 0.1],  # Скорость обучения\n",
    "    \"max_depth\": [3, 5, 7],  # Глубина деревьев\n",
    "    \"subsample\": [0.8, 0.9, 1.0],  # Доля выборки для обучения\n",
    "    \"min_samples_split\": [2, 5],  # Минимальное количество образцов для разделения узла\n",
    "}\n",
    "\n",
    "# GridSearchCV для GradientBoosting\n",
    "grid_search_gb = GridSearchCV(\n",
    "    estimator=GradientBoostingClassifier(random_state=42),\n",
    "    param_grid=param_grid_gb,\n",
    "    cv=5,  # Увеличена кросс-валидация до 5 фолдов\n",
    "    scoring=\"roc_auc\",  # Используется AUC вместо accuracy для более точной оценки\n",
    "    n_jobs=-1,\n",
    "    verbose=2,  # Вывод прогресса выполнения\n",
    ")\n",
    "\n",
    "grid_search_gb.fit(X_train, y_train)\n",
    "\n",
    "# Лучшие параметры для GradientBoosting\n",
    "print(\"Лучшие параметры для GradientBoosting:\", grid_search_gb.best_params_)\n",
    "\n",
    "# Обучение модели с лучшими параметрами\n",
    "best_gb_model = grid_search_gb.best_estimator_\n",
    "\n",
    "# Оценка лучшей модели\n",
    "y_pred_gb = best_gb_model.predict(X_test)\n",
    "accuracy_gb = accuracy_score(y_test, y_pred_gb)\n",
    "roc_auc_gb = roc_auc_score(y_test, best_gb_model.predict_proba(X_test)[:, 1])\n",
    "\n",
    "print(f\"Точность GradientBoosting: {accuracy_gb:.4f}\")\n",
    "print(f\"AUC GradientBoosting: {roc_auc_gb:.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "feature_importances = pd.Series(\n",
    "    best_rf_model.feature_importances_, index=X_train.columns\n",
    ")\n",
    "feature_importances.sort_values(ascending=False).plot(kind=\"bar\")\n",
    "plt.title(\"Важность признаков (RandomForest)\")\n",
    "plt.show()\n",
    "\n",
    "feature_importances = pd.Series(\n",
    "    best_gb_model.feature_importances_, index=X_train.columns\n",
    ")\n",
    "feature_importances.sort_values(ascending=False).plot(kind=\"bar\")\n",
    "plt.title(\"Важность признаков (Gradient Boosting)\")\n",
    "plt.show()\n",
    "\n",
    "\n",
    "# Извлечение коэффициентов модели\n",
    "coefficients = best_lr_model.coef_[0]\n",
    "\n",
    "# Получение имен признаков\n",
    "feature_names = X_train.columns  # если X_train это DataFrame\n",
    "\n",
    "# Сортировка признаков по важности (по абсолютным значениям коэффициентов)\n",
    "importance = np.abs(coefficients)\n",
    "sorted_idx = np.argsort(importance)[::-1]  # Индексы сортировки по убыванию\n",
    "\n",
    "# Построение графика\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.barh(range(len(importance)), importance[sorted_idx], align=\"center\")\n",
    "plt.yticks(range(len(importance)), np.array(feature_names)[sorted_idx])\n",
    "plt.xlabel(\"Важность признака\")\n",
    "plt.title(\"Важность признаков для Logistic Regression\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.model_selection import learning_curve\n",
    "\n",
    "train_sizes, train_scores, test_scores = learning_curve(\n",
    "    best_rf_model, X_train, y_train, cv=3, scoring=\"accuracy\", n_jobs=-1\n",
    ")\n",
    "\n",
    "train_scores_mean = train_scores.mean(axis=1)\n",
    "test_scores_mean = test_scores.mean(axis=1)\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(train_sizes, train_scores_mean, label=\"Точность на обучении\", color=\"blue\")\n",
    "plt.plot(train_sizes, test_scores_mean, label=\"Точность на валидации\", color=\"orange\")\n",
    "plt.xlabel(\"Размер обучающей выборки\")\n",
    "plt.ylabel(\"Точность\")\n",
    "plt.title(\"Кривая обучения (RandomForest)\")\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.show()\n",
    "\n",
    "\n",
    "train_sizes, train_scores, test_scores = learning_curve(\n",
    "    best_gb_model, X_train, y_train, cv=3, scoring=\"accuracy\", n_jobs=-1\n",
    ")\n",
    "\n",
    "train_scores_mean = train_scores.mean(axis=1)\n",
    "test_scores_mean = test_scores.mean(axis=1)\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(train_sizes, train_scores_mean, label=\"Точность на обучении\", color=\"blue\")\n",
    "plt.plot(train_sizes, test_scores_mean, label=\"Точность на валидации\", color=\"orange\")\n",
    "plt.xlabel(\"Размер обучающей выборки\")\n",
    "plt.ylabel(\"Точность\")\n",
    "plt.title(\"Кривая обучения (Gradient Boosting)\")\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.show()\n",
    "\n",
    "\n",
    "train_sizes, train_scores, test_scores = learning_curve(\n",
    "    best_lr_model, X_train, y_train, cv=3, scoring=\"accuracy\", n_jobs=-1\n",
    ")\n",
    "\n",
    "train_scores_mean = train_scores.mean(axis=1)\n",
    "test_scores_mean = test_scores.mean(axis=1)\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(train_sizes, train_scores_mean, label=\"Точность на обучении\", color=\"blue\")\n",
    "plt.plot(train_sizes, test_scores_mean, label=\"Точность на валидации\", color=\"orange\")\n",
    "plt.xlabel(\"Размер обучающей выборки\")\n",
    "plt.ylabel(\"Точность\")\n",
    "plt.title(\"Кривая обучения (Logistic Regression)\")\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\TEMP_UNIVERSITY\\mai\\.venv\\Lib\\site-packages\\sklearn\\base.py:493: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "# Применяем PCA для снижения размерности до 2D\n",
    "scaler = StandardScaler()\n",
    "X_scaled = scaler.fit_transform(X_test)  # Масштабируем данные\n",
    "pca = PCA(n_components=2)\n",
    "X_pca = pca.fit_transform(X_scaled)\n",
    "\n",
    "# Устанавливаем диапазон для сетки\n",
    "x_min, x_max = X_pca[:, 0].min() - 1, X_pca[:, 0].max() + 1\n",
    "y_min, y_max = X_pca[:, 1].min() - 1, X_pca[:, 1].max() + 1\n",
    "\n",
    "xx, yy = np.meshgrid(np.arange(x_min, x_max, 0.1), np.arange(y_min, y_max, 0.1))\n",
    "\n",
    "# Создаем новые данные на основе сетки для предсказаний\n",
    "grid_points = pca.inverse_transform(\n",
    "    np.c_[xx.ravel(), yy.ravel()]\n",
    ")  # Возвращаем в исходное пространство\n",
    "Z = best_rf_model.predict(grid_points)\n",
    "Z = Z.reshape(xx.shape)\n",
    "\n",
    "# Визуализация\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.contourf(xx, yy, Z, alpha=0.8, cmap=ListedColormap((\"orange\", \"blue\")))\n",
    "plt.scatter(\n",
    "    X_pca[:, 0],\n",
    "    X_pca[:, 1],\n",
    "    c=y_test,\n",
    "    edgecolor=\"k\",\n",
    "    cmap=ListedColormap((\"red\", \"green\")),\n",
    ")\n",
    "plt.title(\"Разделение классов (RandomForest, PCA)\")\n",
    "plt.xlabel(\"PCA Component 1\")\n",
    "plt.ylabel(\"PCA Component 2\")\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}