{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1 Датасет: NASA - Nearest Earth Objects\n",
    "#### https://www.kaggle.com/datasets/sameepvani/nasa-nearest-earth-objects \n",
    "\n",
    "There is an infinite number of objects in the outer space. Some of them are closer than we think. Even though we might think that a distance of 70,000 Km can not potentially harm us, but at an astronomical scale, this is a very small distance and can disrupt many natural phenomena. These objects/asteroids can thus prove to be harmful. Hence, it is wise to know what is surrounding us and what can harm us amongst those. Thus, this dataset compiles the list of NASA certified asteroids that are classified as the nearest earth object.\n",
    "\n",
    "В космосе находится бесконечное количество объектов. Некоторые из них находятся ближе, чем мы думаем. Хотя мы можем думать, что расстояние в 70 000 км не может потенциально навредить нам, но в астрономических масштабах это очень малое расстояние и может нарушить многие природные явления. Таким образом, эти объекты/астероиды могут оказаться вредными. Следовательно, разумно знать, что нас окружает и что из этого может навредить нам. Таким образом, этот набор данных составляет список сертифицированных NASA астероидов, которые классифицируются как ближайшие к Земле объекты.\n",
    "\n",
    "- Из этого описания очевидно что объектами иследования являются околоземные объекты.\n",
    "- Атрибуты объектов: id, name, est_diameter_min, est_diameter_max, relative_velocity, miss_distance, orbiting_body, sentry_object, absolute_magnitude, hazardous\n",
    "- Очевидная цель этого датасета - это научиться определять опасность объекта автоматически.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "количество колонок: 10\n",
      "колонки: id, name, est_diameter_min, est_diameter_max, relative_velocity, miss_distance, orbiting_body, sentry_object, absolute_magnitude, hazardous\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df = pd.read_csv(\"..//static//csv//neo_v2.csv\", sep=\",\")\n",
    "print('количество колонок: ' + str(df.columns.size))  \n",
    "print('колонки: ' + ', '.join(df.columns))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Получение сведений о пропущенных данных\n",
    "\n",
    "Типы пропущенных данных:\n",
    "- None - представление пустых данных в Python\n",
    "- NaN - представление пустых данных в Pandas\n",
    "- '' - пустая строка"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "id                    0\n",
      "name                  0\n",
      "est_diameter_min      0\n",
      "est_diameter_max      0\n",
      "relative_velocity     0\n",
      "miss_distance         0\n",
      "orbiting_body         0\n",
      "sentry_object         0\n",
      "absolute_magnitude    0\n",
      "hazardous             0\n",
      "dtype: int64\n",
      "\n",
      "id                    False\n",
      "name                  False\n",
      "est_diameter_min      False\n",
      "est_diameter_max      False\n",
      "relative_velocity     False\n",
      "miss_distance         False\n",
      "orbiting_body         False\n",
      "sentry_object         False\n",
      "absolute_magnitude    False\n",
      "hazardous             False\n",
      "dtype: bool\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Количество пустых значений признаков\n",
    "print(df.isnull().sum())\n",
    "\n",
    "print()\n",
    "\n",
    "# Есть ли пустые значения признаков\n",
    "print(df.isnull().any())\n",
    "\n",
    "print()\n",
    "\n",
    "# Процент пустых значений признаков\n",
    "for i in df.columns:\n",
    "    null_rate = df[i].isnull().sum() / len(df) * 100\n",
    "    if null_rate > 0:\n",
    "        print(f\"{i} процент пустых значений: %{null_rate:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Итог: пропущеных значений нет"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "инфографика на сайте и в datawrangelere показывает, что в столбцах orbiting_body и sentry_object у всех записей одно и тоже значение. Значит эти столбцы можно выкинуть из набора данных."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "количество колонок: 8\n",
      "колонки: id, name, est_diameter_min, est_diameter_max, relative_velocity, miss_distance, absolute_magnitude, hazardous\n"
     ]
    }
   ],
   "source": [
    "df = df.drop(columns=['orbiting_body'])\n",
    "df = df.drop(columns=['sentry_object'])\n",
    "print('количество колонок: ' + str(df.columns.size))  \n",
    "print('колонки: ' + ', '.join(df.columns))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "я быстро посмотрев данные зашумленности не выявил"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "поля id и name в предсказании не помогут, но я их пока выкидывать не буду"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "посмотрим выбросы:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Колонка est_diameter_min:\n",
      "  Есть выбросы: Да\n",
      "  Количество выбросов: 8306\n",
      "  Минимальное значение: 0.0006089126\n",
      "  Максимальное значение: 37.8926498379\n",
      "  1-й квартиль (Q1): 0.0192555078\n",
      "  3-й квартиль (Q3): 0.1434019235\n",
      "\n",
      "Колонка est_diameter_max:\n",
      "  Есть выбросы: Да\n",
      "  Количество выбросов: 8306\n",
      "  Минимальное значение: 0.00136157\n",
      "  Максимальное значение: 84.7305408852\n",
      "  1-й квартиль (Q1): 0.0430566244\n",
      "  3-й квартиль (Q3): 0.320656449\n",
      "\n",
      "Колонка relative_velocity:\n",
      "  Есть выбросы: Да\n",
      "  Количество выбросов: 1574\n",
      "  Минимальное значение: 203.34643253\n",
      "  Максимальное значение: 236990.1280878666\n",
      "  1-й квартиль (Q1): 28619.02064490995\n",
      "  3-й квартиль (Q3): 62923.60463276395\n",
      "\n",
      "Колонка miss_distance:\n",
      "  Есть выбросы: Нет\n",
      "  Количество выбросов: 0\n",
      "  Минимальное значение: 6745.532515957\n",
      "  Максимальное значение: 74798651.4521972\n",
      "  1-й квартиль (Q1): 17210820.23576468\n",
      "  3-й квартиль (Q3): 56548996.45139917\n",
      "\n",
      "Колонка absolute_magnitude:\n",
      "  Есть выбросы: Да\n",
      "  Количество выбросов: 101\n",
      "  Минимальное значение: 9.23\n",
      "  Максимальное значение: 33.2\n",
      "  1-й квартиль (Q1): 21.34\n",
      "  3-й квартиль (Q3): 25.7\n",
      "\n"
     ]
    }
   ],
   "source": [
    "numeric_columns = ['est_diameter_min', 'est_diameter_max', 'relative_velocity', 'miss_distance', 'absolute_magnitude']\n",
    "for column in numeric_columns:\n",
    "    if pd.api.types.is_numeric_dtype(df[column]):  # Проверяем, является ли колонка числовой\n",
    "        q1 = df[column].quantile(0.25)  # Находим 1-й квартиль (Q1)\n",
    "        q3 = df[column].quantile(0.75)  # Находим 3-й квартиль (Q3)\n",
    "        iqr = q3 - q1  # Вычисляем межквартильный размах (IQR)\n",
    "\n",
    "        # Определяем границы для выбросов\n",
    "        lower_bound = q1 - 1.5 * iqr  # Нижняя граница\n",
    "        upper_bound = q3 + 1.5 * iqr  # Верхняя граница\n",
    "\n",
    "        # Подсчитываем количество выбросов\n",
    "        outliers = df[(df[column] < lower_bound) | (df[column] > upper_bound)]\n",
    "        outlier_count = outliers.shape[0]\n",
    "\n",
    "        print(f\"Колонка {column}:\")\n",
    "        print(f\"  Есть выбросы: {'Да' if outlier_count > 0 else 'Нет'}\")\n",
    "        print(f\"  Количество выбросов: {outlier_count}\")\n",
    "        print(f\"  Минимальное значение: {df[column].min()}\")\n",
    "        print(f\"  Максимальное значение: {df[column].max()}\")\n",
    "        print(f\"  1-й квартиль (Q1): {q1}\")\n",
    "        print(f\"  3-й квартиль (Q3): {q3}\\n\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "построим графики в надежде найти какие то зависимости опасности от других колонок"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Список числовых колонок, для которых мы будем строить графики\n",
    "numeric_columns = ['est_diameter_min', 'est_diameter_max', 'relative_velocity', 'miss_distance', 'absolute_magnitude']\n",
    "\n",
    "# Создание диаграмм зависимости\n",
    "for column in numeric_columns:\n",
    "    plt.figure(figsize=(4, 8))  # Установка размера графика\n",
    "    plt.scatter(df['hazardous'], df[column], alpha=0.5)  # Создаем диаграмму рассеяния\n",
    "    plt.title(f'Зависимость {column} от hazardous')\n",
    "    plt.xlabel('hazardous (0 = нет, 1 = да)')\n",
    "    plt.ylabel(column)\n",
    "    plt.xticks([0, 1])  # Установка меток по оси X\n",
    "    plt.grid()  # Добавление сетки для удобства восприятия\n",
    "    plt.show()  # Отображение графика"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Создадим выборки данных. разбивать будем относительно параметра опасный, ведь это тот самый параметр по которому наша выборка разбивается на классы. И собственно его нам и надо будет предсказывать"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: scikit-learn in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (1.5.2)\n",
      "Requirement already satisfied: numpy>=1.19.5 in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (from scikit-learn) (2.1.1)\n",
      "Requirement already satisfied: scipy>=1.6.0 in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (from scikit-learn) (1.14.1)\n",
      "Requirement already satisfied: joblib>=1.2.0 in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (from scikit-learn) (1.4.2)\n",
      "Requirement already satisfied: threadpoolctl>=3.1.0 in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (from scikit-learn) (3.5.0)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install scikit-learn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Функция для создания выборок\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "def split_stratified_into_train_val_test(\n",
    "    df_input,\n",
    "    stratify_colname=\"y\",\n",
    "    frac_train=0.6,\n",
    "    frac_val=0.15,\n",
    "    frac_test=0.25,\n",
    "    random_state=None,\n",
    "):\n",
    "    \"\"\"\n",
    "    Splits a Pandas dataframe into three subsets (train, val, and test)\n",
    "    following fractional ratios provided by the user, where each subset is\n",
    "    stratified by the values in a specific column (that is, each subset has\n",
    "    the same relative frequency of the values in the column). It performs this\n",
    "    splitting by running train_test_split() twice.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    df_input : Pandas dataframe\n",
    "        Input dataframe to be split.\n",
    "    stratify_colname : str\n",
    "        The name of the column that will be used for stratification. Usually\n",
    "        this column would be for the label.\n",
    "    frac_train : float\n",
    "    frac_val   : float\n",
    "    frac_test  : float\n",
    "        The ratios with which the dataframe will be split into train, val, and\n",
    "        test data. The values should be expressed as float fractions and should\n",
    "        sum to 1.0.\n",
    "    random_state : int, None, or RandomStateInstance\n",
    "        Value to be passed to train_test_split().\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    df_train, df_val, df_test :\n",
    "        Dataframes containing the three splits.\n",
    "    \"\"\"\n",
    "\n",
    "    if frac_train + frac_val + frac_test != 1.0:\n",
    "        raise ValueError(\n",
    "            \"fractions %f, %f, %f do not add up to 1.0\"\n",
    "            % (frac_train, frac_val, frac_test)\n",
    "        )\n",
    "\n",
    "    if stratify_colname not in df_input.columns:\n",
    "        raise ValueError(\"%s is not a column in the dataframe\" % (stratify_colname))\n",
    "\n",
    "    X = df_input  # Contains all columns.\n",
    "    y = df_input[\n",
    "        [stratify_colname]\n",
    "    ]  # Dataframe of just the column on which to stratify.\n",
    "\n",
    "    # Split original dataframe into train and temp dataframes.\n",
    "    df_train, df_temp, y_train, y_temp = train_test_split(\n",
    "        X, y, stratify=y, test_size=(1.0 - frac_train), random_state=random_state\n",
    "    )\n",
    "\n",
    "    # Split the temp dataframe into val and test dataframes.\n",
    "    relative_frac_test = frac_test / (frac_val + frac_test)\n",
    "    df_val, df_test, y_val, y_test = train_test_split(\n",
    "        df_temp,\n",
    "        y_temp,\n",
    "        stratify=y_temp,\n",
    "        test_size=relative_frac_test,\n",
    "        random_state=random_state,\n",
    "    )\n",
    "\n",
    "    assert len(df_input) == len(df_train) + len(df_val) + len(df_test)\n",
    "\n",
    "    return df_train, df_val, df_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hazardous\n",
      "False    81996\n",
      "True      8840\n",
      "Name: count, dtype: int64\n",
      "\n",
      "Обучающая выборка:  (54501, 6)\n",
      "hazardous\n",
      "False    49197\n",
      "True      5304\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Контрольная выборка:  (18167, 6)\n",
      "hazardous\n",
      "False    16399\n",
      "True      1768\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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Li9N6WaB032VkZCAhIQGrVq2CQCCAj49PtZaVSqUYOnQo0tPTERUVpaqlVfrnn3/g5eWFnj17qqYZGRlh6tSpSEpKUjUdKeXm5mqct7UVHBys+j+Px0NwcDCKi4tx7NgxVYwCgQAzZ85UW2727NlgjOHQoUNq06t7fgJAdnY2MjIykJubW+V85be5/Pzann9lzZs3D506dcKoUaNeGa9Sdc9f5XU2MzOz2veZCAwMVPucuLq6YujQoYiKioJcLodcLseRI0cQEBCAli1bquazs7PDuHHjEB0djZycHLUyp06dqlZT/dFHH0FPT091vpUVGRmJ6dOn4/PPP1f7bACl18KsrCyMHTtW7XgIBAJ07dq12td5oIbNH+vXr4ebmxv09PTQrFkztGrVSu3CrVAosGbNGmzYsAGJiYlqbcJld2p8fDxatWqlqjLUFVdXV7X3PB4PLi4uqjY15UVo0qRJlZaRnZ0Nc3Nz1fuMjAyNcsuLi4sDY6zS+co3U2RlZQFAlfcniIuLQ3Z2tqrKurznz5+rvT9y5Ijahb86Fi5cCHt7e0ybNk2jbTcuLg53796ttMzy669ISkoK/P39kZ+fj8zMzEoTxursDwA4cOAAlixZgpiYGLX2+LLlxsfHg8/no02bNpWWo2y28/DwqHSe5ORkAECrVq00/ubu7o7o6Gi1aY8fP1bbV3Z2dti3b1+17kEhFos19rO5ublGG2l1tr+sKVOmID4+HufPn9f48gsLC8MPP/yAe/fuoaSkRDXdyclJo5zy09LT01FYWFjh571Vq1ZqF7bk5GTw+Xy4uLiozWdrawszMzPVftbG4sWL8e6778LNzQ0eHh4YNGgQ3n//fbRv375ay3fq1En1f5FIhHXr1lXY7FmRwMBA/PvvvxCLxRV+qSQnJ2tUVQNQfTklJyerfe4++OCDaq23uvh8vtoXEwBVFbvyOpicnAx7e3u1H2DlYyyruucnALUmJDMzM4wdOxbLly9X6zSZn5//ymuVtuefUnR0NP7++28cP34cjx49emW8StU9f8teZwUCAdq3b4/vv/9e1axalvK8dHd31/hb69atsW/fPmRkZIAxhoKCggq3tXXr1lAoFHj8+DHatm2rml7+3DMyMoKdnZ1G/5GYmBjs3bsXcrkcL1680Chf+Z2o/LFYnomJSYXTK1Kjb3MvLy/V6I+KfPfdd5g/fz4++OADfPPNN7CwsACfz8esWbM0agC4oIxh+fLlGu3GSmU/RMXFxUhNTX1lO61CoQCPx8OhQ4dUvwYrKxMAnj17BqD0wlpVmTY2NpXewKX8Sdm1a1csWbJEbdq6desQGRlZ4fJ3797F9u3bsWvXrgr7ZigUCrRr1w4rV66scPnmzZtXGrvSw4cP0alTJ6xatQrvv/8+wsLCKkzoqrM/zp49i6FDh6JXr17YsGED7OzsIBQKsW3bNo3OlVxo1qwZdu3aBaA0Md26dSsGDRqE6OhotGvXrsplK/rMlKft9q9ZswZ79uzBrl27ND7ru3btwuTJkxEQEIDPP/8cNjY2EAgECA0NVSVcZZWtIamp2tRAlu+w2qtXL8THxyMyMhJHjhzBL7/8glWrVmHTpk0ICgp6ZXm7du1Cs2bNIJVKceLECXz88ccQi8Uandoqcu3aNURGRiI4OBhTp07FiRMnarpZAErb/pX9iJTeeeedWpWpa8+ePYORkVG1RlMof3gWFRXh1KlTWLFiBQBgw4YNqnnEYjH+/vtvteXOnj2r6vNRG1988QV8fX3Rt29ftZthvUp1z9+y19mnT59i6dKlGDZsWIWdGnVx3tRWbGws/Pz80K9fP3z++eeYMGGCWn8K5Xfizp07K7z+avPDX7dVBP8VERGBPn36YMuWLWrTs7KyVB18gNIeuhcvXkRJSYlOOhsqla8OZYzh4cOHql8wyg6gJiYm1eqUFRsbi5KSkioTKWW5jDE4OTmpfhVU5c6dO+DxeBVmpmXLPHbsGHr06FGtD6eVlZXGNlXVmXLevHl466238N5771W6/tjYWPTr16/GXwjKpqdmzZohMjISs2fPxuDBgzUSoursj3379kEsFuPw4cNq1bDbtm3TiFuhUODOnTuVJo7Kz8GtW7c0fkErOTo6AijtwV0+i79//77q70pisVht/w8dOhQWFhZYt25dpaMitFHd7QdKL9Bz5szBrFmzMH78eI2/R0REoGXLlvjjjz/Uju3ChQurFYu1tTUMDAwqbH64f/++2ntHR0coFArExcWpVSWnpaUhKytLbT+am5urfhUrKRP78iwsLBAYGIjAwEDk5eWhV69eCAkJqVZS0aNHD1XnsyFDhuD27dsIDQ2tVlLxyy+/YOjQoRAIBBgyZAi2bNmC//znP2rbW34fAMC9e/dUfy+rXbt2GudtdZLMyigUCiQkJKhdhx48eAAAqm12dHTEsWPHkJubq1ZbUVmMd+7cqXYzXtkfnv7+/oiNjUVUVJTaPAKBQGObyx93bc8/oPR6d+HChUqbA6tS3fO3/HXWxcUFPXr0wJkzZ9SaAoH/1fBV9nmQSCSq70VDQ8NK5+Pz+Ro/4uLi4tCnTx/V+7y8PKSmpmoMamjXrh3Cw8NhYGCA8PBwTJ06FTdu3FA1KSmvhTY2Nlp1VK5IndymWyAQaAxJCg8P1xgCNGLECGRkZGDdunUaZZRfXhs7duxQa5uLiIhAamoq/Pz8AACenp5wdnbGihUrkJeXp7F8enq6RuzKi0dVhg8fDoFAgEWLFmnEzxhT9QIGSofX7du3D15eXlVWJ44ePRpyuRzffPONxt9kMpnGSaiNCxcuIDIyEt9//32lCcPo0aORkpKCn3/+WeNvhYWFyM/Pf+V63NzcVKMB1q5dC4VCgU8++URtnuruD4FAAB6Pp/arNSkpSSNxCggIAJ/Px+LFizVqx5THZuDAgTA2NkZoaKhGvxPlPJ07d4aNjQ02bdqk1tRw6NAh3L17V220SUWKi4shk8mqNfy2Oqq7/ampqRg9ejR69uxZaR8W5ZdW2c/qxYsXceHChWrH4uvri/3796tVMd+9exeHDx9Wm1d5kVu9erXadGUNWNn96OzsjDNnzqjN99NPP2nUVJQ9n4DSmkAXF5ca7+vCwsJqL6usVfD398eYMWPw+eefq91VePDgwbh06ZLavszPz8dPP/2EFi1aVNkspytlr6uMMaxbtw5CoRD9+vVTxSiXyzWuv6tWrQKPx1NdL4HSZoFz585VWj3+KgqFokZJkrbnn1wux1dffYVx48ZV+mNCG9U9f5XXmIq20draGp07d0ZYWJhaU2Z8fDz++usv+Pn5QSAQQCAQYODAgYiMjFRrvkhLS8Ovv/6Knj17ajRD/PTTT2rNlhs3boRMJlM7dkBpU59EIgGfz8cvv/yCpKQktRohX19fmJiY4LvvvlMrT6n8d2JV6qSmYsiQIVi8eDECAwPRvXt33Lx5E7t379Zo45s4cSJ27NiBzz77DJcuXYK3tzfy8/Nx7NgxTJ8+He+++26N1m9hYYGePXsiMDAQaWlpWL16NVxcXDBlyhQAUO1YPz8/tG3bFoGBgXBwcEBKSgpOnjwJExMT/P3338jPz8f69evx448/ws3NTW1MrzIZuXHjBi5cuIBu3brB2dkZS5Yswbx585CUlISAgAAYGxsjMTERf/75J6ZOnYo5c+bg2LFjmD9/Pm7cuKFR/Veej48Ppk2bhtDQUMTExGDgwIEQCoWIi4tDeHg41qxZg5EjR9ZoPx05cgQDBgyoMjN9//33sXfvXnz44Yc4efIkevToAblcjnv37mHv3r04fPjwK2twyrK1tcXy5csRFBSECRMmYPDgwVrtD39/f6xcuRKDBg3CuHHj8Pz5c6xfvx4uLi64ceOGaj4XFxd8/fXX+Oabb+Dt7Y3hw4dDJBLh8uXLsLe3R2hoKExMTLBq1SoEBQWhS5cuGDduHMzNzREbG4uCggKEhYVBKBRi6dKlCAwMhI+PD8aOHasa0taiRQt8+umnavHl5+erVZ/u3LkTUqlU6yGEtd3+mTNnIj09HXPnzsVvv/2mVkb79u3Rvn17DBkyBH/88QeGDRsGf39/JCYmYtOmTWjTpk2FyXZFFi1ahKioKHh7e2P69OmQyWRYu3Yt2rZtqxZPhw4dMGnSJPz000/IysqCj48PLl26hLCwMAQEBKj92goKCsKHH36IESNGYMCAAYiNjcXhw4fVajkBoE2bNujduzc8PT1hYWGBK1euICIiQqMTWmX2798PKysrVfPH2bNnMWvWrGotW9aaNWvQunVrzJgxA3v37gUAfPnll9izZw/8/Pwwc+ZMWFhYICwsDImJidi3b59G52FdE4vFiIqKwqRJk9C1a1ccOnQIBw8exFdffaWqIXznnXfQp08ffP3110hKSkKHDh1w5MgRREZGYtasWapfrxs3bkRoaCgMDQ01OnVW5sKFC8jIyFA1fxw/fhxz5szReju0Pf+ePHkCfX39CjsqVkd1z19lB12gNIFfunQpTE1N0adPH1WNUFnLli3DwIED0a1bNwQFBamGlIrFYrVhuUuWLMHRo0fRs2dPTJ8+HXp6eti8eTOKioqwbNkyjXKLi4vRr18/jB49Gvfv38eGDRvQs2dPDB06tNJt9PDwwBdffIHvv/8eY8aMQfv27WFiYoKNGzfi/fffR6dOnTBmzBhYW1vj0aNHOHjwIHr06FHhj/8KVXucCKv+cCGpVMpmz57N7OzsmIGBAevRowe7cOFChcOgCgoK2Ndff82cnJyYUChktra2bOTIkaohNTUZUrpnzx42b948ZmNjwwwMDJi/v7/aMCil69evs+HDhzNLS0smEomYo6MjGz16NDt+/Ljaul/1Kj/sa9++faxnz55MIpEwiUTC3N3d2ccff8zu37/PGGNsxowZrFevXiwqKkojpoqGUDJWOrTJ09OTGRgYMGNjY9auXTs2d+5c9vTpU9U82g4p5fF47OrVq2rTKzpGxcXFbOnSpaxt27ZMJBIxc3Nz5unpyRYtWsSys7M11veq8hhjrG/fvuzNN99kubm5Wu+PLVu2MFdXVyYSiZi7uzvbtm1bpftt69atrGPHjqq4fXx82NGjR9Xm+euvv1j37t2ZgYEBMzExYV5eXmzPnj1q8/z++++qciwsLNj48eNVQ6iVlEP5lC8jIyPWqVMntnPnzir3kXLZiobY1XT7fXx8Kv28KodrKhQK9t133zFHR0cmEolYx44d2YEDBzSG1lV1DjLG2OnTp5mnpyfT19dnLVu2ZJs2baow7pKSErZo0SLVud68eXM2b948JpVK1eaTy+Xsiy++YFZWVszQ0JD5+vqyhw8fagwpXbJkCfPy8mJmZmbMwMCAubu7s2+//VZtiF1FlNcx5UtfX5+5uLiwBQsWaMRS2bLlhyeGhYUxAOyvv/5STYuPj2cjR45kZmZmTCwWMy8vL3bgwAG15epqSKlEImHx8fFs4MCBzNDQkDVr1owtXLhQY3h1bm4u+/TTT5m9vT0TCoXM1dWVLV++XG2ovZeXFxs1ahS7d+/eK+Ooat+WHb5c3SGlStqcf5988ona9MqOWUX7rTrnr6Ojo9p8VlZWbODAgezff/9ljGkOKVU6fvw469Gjh+o64+/vz27evKkRx7Vr15ivry8zMjJihoaGrE+fPuz8+fMVbtPp06fZ1KlTmbm5OTMyMmLjx49nmZmZGvGW/xxJpVLm7u7OunTpohpirozd19eXmZqaMrFYzJydndnkyZPZlStXqtx3ZfEYq0U7QwNz6tQp9OnTB+Hh4TX+9V5WUlISnJyckJiYWOmNP0JCQpCUlKRVZyBCCKkrkydPRkRERLVrm0jjo7wh2OXLl7WqKa4P9OhzQgghhOhEnfSpaCqMjIwwfvz4KjsOtm/fXnXbcUIIIeR1RklFFaysrFSddiozfPjweoqGEEIIadiaVJ8KQgghhHCH+lQQQgghRCcoqSCEEEKITlBSQQghhBCdoKSCEEIIITpBSQUhhBBCdIKSCkIIIYToBCUVhBBCCNEJSioIIYQQohOUVBBCCCFEJyipIIQQQohOUFJBCOEEj8er8hUSEsJ1iIQQLdEDxQghnEhNTVX9//fff8eCBQtw//591bSyTwdmjEEul0NPjy5ZhDRkVFNBCOGEra2t6mVqagoej6d6f+/ePRgbG+PQoUPw9PSESCRCdHQ0Jk+ejICAALVyZs2ahd69e6veKxQKhIaGwsnJCQYGBujQoQMiIiLqd+MIeU1R2k8IabC+/PJLrFixAi1btoS5uXm1lgkNDcWuXbuwadMmuLq64syZM5gwYQKsra3h4+NTxxET8nqjpIIQ0mAtXrwYAwYMqPb8RUVF+O6773Ds2DF069YNANCyZUtER0dj8+bNlFQQUscoqSCENFidO3fWav6HDx+ioKBAIxEpLi5Gx44ddRkaIaQClFQQQhosiUSi9p7P54MxpjatpKRE9f+8vDwAwMGDB+Hg4KA2n0gkqqMoCSFKlFQQQhoNa2tr3Lp1S21aTEwMhEIhAKBNmzYQiUR49OgRNXUQwgFKKgghkJbI8Sxbioy8ImTkFf/33yJkF5ZAJmcw5BdjHn8nIBABevqAQB/QEwNmjoCVa+lLX/LqFdVS3759sXz5cuzYsQPdunXDrl27cOvWLVXThrGxMebMmYNPP/0UCoUCPXv2RHZ2Ns6dOwcTExNMmjSpzmMk5HVGSQUhr5nHLwpwJzUH91Jzce9ZDu49y0VyZj4UrPJl7MVFmIetVZTKA0zsAUsXwMrtf4mGlRtg+obOYvf19cX8+fMxd+5cSKVSfPDBB5g4cSJu3rypmuebb76BtbU1QkNDkZCQADMzM3Tq1AlfffWVzuIghFSMx8o3UBJCmpTswhKcf5iBM3EZiH6YjscvCrUuw15chPMIrFkAJg6AS3/AdSDQsjcgMnrlIoSQxomSCkKaoNTsQvwV8xRRt5/hxpNsyKuqhqiGWiUVZQn0AcceQNsAoPVQwNCi9mUSQhoMSioIaSKkJXL8czMVe688xsXEF9Dlma2zpKIsvhBw7gN4jATavAsIxbotnxBS7yipIKSRe54jxS/Ridhz6RFypbI6WUedJBVlGdkCPT4BOgcCQoO6Ww8hpE5RUkFII/UoswCbzsQj4uoTFMsUdbquOk8qlCQ2QPcZQJcgQN+w7tdHCNEpSioIaWQeZRZg5dH7+PtGaq37SlRXvSUVSoZWQPdgoMsU6thJSCNCSQUhjURhsRzrTsbh57OJdV4zUV69JxVKBhZAt4+BrtMAkXH9r58QohVKKghpBP6KfYrQf+4iNVvKyfo5SyqUjO2AIauBVoO4i4EQ8kqUVBDSgKVkFWLO3lhcSMjkNA7Okwql9mMAv+8Bg+o9Bp0QUr/4XAdACKnY37FP4bf6DOcJRYNy4zdg/du4FxfHdSSEkApQUkFIA5NXJMNne2MwY8915NTRENHG7JFZZwza8gAhf91GkUzOdTiEkDIoqSCkAbn9NBv+P57FH9dSuA6lQZIZO+C9JyMBANvPJ2HExvN4xlE/E0KIJkoqCGkgom6lYuTGC0jOLOA6lAaJ8fhYIvwEqVJ91bRbKTl4d300bjzJ4i4wQogKJRWENAAbT8Xjo93XUFhC1fmViX1jArY/1XziaVpOEUZvvoB/bqZyEBUhpCxKKgjhkELBMH//LSyNuqfTZ3U0NYWWbTE+YWClf5eWKPDxr9ew/uTDeoyKEFKeHtcBEPK6UigYPtsbg/0xT7kOpUFjemLMLPoI+fKqfwMxBiw/fB9FMgU+G+BWT9ERQsqimgpCOMAYw9x9NyihqIbDttNwNKP6j0j/8XgcVh97UIcREUIqQ0kFIfWMMYav/ryFiKtPuA6lwXtp2wMfxXtpvdzqY3H48Tjdy4KQ+kZJBSH1LOSv29hz6RHXYTR4CrE5JmROBmO8Gi2/8ugDbDodr+OoCCFVoT4VhNSjDaceIuxCMtdhvJKiqABZZ3ehIO4CFAXZyLR1wuVBcnRxEFQ4/+T9hQiLLdGY3saaj9vTS58yuvtGCb48LkVeMUPgW/pY6StWzZeUpcDAnQW4MlUCE1FpErHFbCZuJ0lqtR1Lo+6hhaUhBnnY1aocQkj10LM/CKknx++mYcqOK6inp5XXSnrkUpSkJ8PCdzoERhbg3z+GnH/34s50IziYaFZwZksZCmX/2zCZAuiwKR8zvIQI6S1GRoECzVflYfu7Bmhpzof/rwXY+q4YQ9yEAIDBuwsQ1EmI4a1L3ye/MRQ+D8foZFsMhAKEf9gNHg6mOimPEFI5av4gpB48fJ6LWb/FNIqEQlFShIL752DWJxDi5h4Qmtujee/34GLBx8YrxRUuYyrmwdaIr3pdeSrHy8LSGgkASHjJYCri4T0PIbo4CNDHSYC76aWPb99zswRCAVQJhcykOd57PFxn21NYIseUHVfwPJfuvElIXaOkgpA6ll1Ygik7riK3qJE8x0MhB5gCPIFQbbKBHg/Rj6p3c64t10vQv6UAjmallxhXCz4KShiup8rxopDhcooc7ZsJ8LKQYf5JKdb5lTaFMB4fi/Rm4lmRflXFay01W4qpO67Ss0IIqWOUVBBSx+aExyIxI5/rMKqNLzKEyN4d2ed/gyw3E0whR/qN07jwRI7UvFdXtTzNVeBQnAxBnf6XGJgb8BAWYICJ+wvh9XMeJnYQwtdFD3OOSBHspY/ELAU6bs6Dy098bDqRWCfbFfM4C8ui7tdJ2YSQUtRRk5A6FHH1CY7eSeM6DK1ZDpmNzENrkLJhEsDjQ2LXEmM9hLia+upf+mExJTAT8xDgrn55GdZaiGGt/1f7cTpJhhvP5Vg7WAyXH/Ow/YM2+LBoOjK3fQ5xcw8IJGa63ixsPZeIXm7W8HGz1nnZhBBKKgipM6nZhVj0922uw6gRobkdbMd9D0WxFIriArxpJUFJxHtoaf6qu1oybI0pwfvthdAXVD4UtEjGMP0fKXYOM8DDFwrIGPDbG19CkWkOoYUDilLvw9Clq643C4wBcyNiceRTH5gaCF+9ACFEK9T8QUgdmRtxA7nSRtKPohJ8fTH0jCwgK8zD4YcyvNuq6t8hp5PlePhCgf90qvoLe8mZIgxy1kMnOwHkCqCQiXAi0xwAwBQyQKHQ2TaUl5ZT1GiTPUIaOqqpIKQO/HrxEc7GZXAdRo0VJlwFAOhZOED2MhW3T29BOysBAt8qTRbmHZMiJZdhxzADteW2XC9BVwcBPGwqvp8FANxJl+P32zJcn1Z6Dwprj14oYNHQjz0CgZE5SjKfQN/OtY62rNQf11IQ8JYDelEzCCE6RUkFITqWVVCMZYfvcR1GrSiKCpB1Jgyy3AwIxMawatMVh/tmQvjfJo3UPIZH2eq1CdlShn13SrBmkLiiIgGUNo9M/VuKlb4iSPR5UBhYYEp2ICwHd8GLoxvB5CWwGPAh9Iyt6nT7AGDJwTs45NILAn7N7thJCNFEN78iRMcWRt5qFHfN1Ia9uAjnEajzcjc2W4SlyXVbK1GVJQEemPC2I2frJ6SpoT4VhOhQQnoedl+k53pUR2LzAE4TCgBYdfQBcqSatxcnhNQMJRWE6NDyw/chawy3zeRYiYkj3ns0jOswkJlfjHUnHnIdBiFNBiUVhOjIrZRsHLr1jOswGjzGE2ChYCaeFzWMIZ1h55OQkVfEdRiENAmUVBCiI5vPJHAdQqNw5Y1J+DW14Tw1tEimwI7zSVyHQUiTQEkFITrwNKsQh26mch1Gg1dg1R4T4vtyHYaGnf8mo7CYngtCSG1RUkGIDmw/n0R9KV6BCQ3xUeE0FCka3mXnZUEJ9l55zHUYhDR6De/sJqSRyS+SYc8lGvHxKn83+win/3vXzIZoS3Qi5JQYElIrlFQQUkt/XHvS6G/HXdcy7Xww86En12FU6dGLAkQ/bLx3QSWkIaCkgpBa2h/zlOsQGjSFgRXGPp/IdRjVEhmTwnUIhDRqlFQQUgspWYW49ugl12E0aBtMZuJBvsGrZ2wAjtxOg7SEOmwSUlOUVBBSCwdin4JudF+5+OYjsCLZheswqi2vSIbjd59zHQYhjRYlFYTUwt83qOmjMiWmThidPJTrMLRGTSCE1BwlFYTU0KPMAtxKyeE6jAaJ8QT4P/4MZBY3jLtmauPUg3RqAiGkhiipIKSGaKRA5S6+EYjfU225DqNGimUKXEx8wXUYhDRKlFQQUkMXEzO5DqFByrd+C5Pie3MdRq1Ex6VzHQIhjRIlFYTU0MUE+jVbHhNKMC2/Yd41Uxv/0rElpEYa95lPCEeSM/PxLEfKdRgNzp820xH9wpTrMGrtTmoO8orohmaEaIuSCkJqgGopNKXb98Vn8R25DkMn5AqG2MdZXIdBSKNDSQUhNXAjJYvrEBoUhaEVxqWN5zoMnXqQlst1CIQ0OpRUEFIDD57lcR1Cg7LWaBbiGsldM6sr7jkdY0K0RUkFITUQ95x+xSrFNR+FVY9ach2Gzj1Mo6SCEG1RUkGIlrILSvCyoITrMBqEYrOWGJ30Dtdh1AlKHAnRHiUVhGgpKTOf6xAaBMbXwzw2Ay9L9LgOpU68LChBZl4R12EQ0qhQUkGIllKyCrkOoUG44PAB9qU14zqMOpWWQ0kFIdqgpIIQLWVR0wfyrDthUrwP12HUuazCYq5DIKRRoaSCEC3lSF/vpILpSzAlbwpKFDyuQ6lzlEASoh1KKgjRUnbh6/1Fs88qGBdeNv67ZlbHywKqqSBEG5RUEKKlnNc4qUiz7485CR24DqPeUE0FIdqhpIIQLeVIX89nQsglNhj7bBzXYdSrfHr+ByFaoaSCEC0xxrgOod4x8PCjZCYSCsRch1KvBPym32+EEF2ipIIQLekLXr/TJlWqjzVN8K6Zr0JJBSHaef2ujoTUkr4enTavCz1KKgjRCl0dCdGS8DWsqXhdCfh0rAnRBp0xhGiJkorXh1BANRWEaIOujoRoyUjcNJ91QTSZGepzHQIhjQolFYRoyc709RoB8TqzMqKkghBtUFJBiJYoqXh9WBuLuA6BkEaFkgpCtGRvZsB1CKSeONCxJkQrlFQQoiVKKl4PEn0B9akgREuUVBCiJSORHkyos2aT52Qt4ToEQhodSioIqYFWtsZch0DqmIf96/EkVkJ0iZIKQmqgjZ0J1yGQOtbWgZIKQrRFSQUhNeBBXzhNnoc9JY6EaIuSCkJqoOObZlyHQOqQHp+H1lQbRYjWKKkgpAacrY2os2YT5trMGGKhgOswCGl0KKkgpAZ4PB66OVtyHQapI73crLgOgZBGiZIKQmqon3szrkMgdaRPKxuuQyCkUaKkgpAa6uNuAx49xLLJMRbrobOjOddhENIoUVJBSA1ZG4vQ/g0zrsMgOubtagU9erw9ITVCZw4htdDfnarJmxpq+iCk5iipIKQW/NrZch0C0SEDoQCDPOiYElJTlFQQUgsuNsbU/t6EDG5nB2OxkOswCGm0KKkgpJbGer3JdQhER8Z4Nec6BEIaNUoqCKkl//Z2MDWgX7eNXUtrCbq0sOA6DEIaNUoqCKklsVCAYR0duA6D1NLozlRLQUhtUVJBiA68380RfLpnRaNlJNKjZixCdICSCkJ0wNnaCO90sOc6DFJD499+k5qwCNEBSioI0ZGZ/VwhoOqKRsdAKEBQz5Zch0FIk0BJBSE64mxthHeptqLRmdjNEdbGIq7DIKRJoKSCEB2aQbUVjYqxSA/TfJy5DoOQJkOP6wAIaUqcrCQY06U5dl98VCflK4oKkHV2FwriLkBRkA19m5Yw7z8VIjs3AABjDNnRu5EXexiKonyIHFrDYuB0CC0qH52Se/0f5F7/B7LsNACA0OpNmHUfCwPnzqp5Xhz/Gfm3joMnFMPMZxKM2vZR/S3/XjTybx2HzciFdbLNdWnWADdYSPS5DoOQJoNqKgjRsc99W9XZF1Vm1FpIk2JgNWQ27D5YB7FTR6T99n+Q5WYAAHIu7kPO1b9h4fsxbN//ATyhGM/3LgCTFVdapsDYEuY+k2A3aTXsJq2G2LEDnv+xBMXpyQCAgocXkX/3NGxGfwPz3oF4EbUW8oJsAICiKB9ZZ3bAYuBHdbK9dam1nQkmd2/BdRiENCmUVBCiY2aG+vhykLvOy1WUFKHg/jmY9QmEuLkHhOb2MOs5HkJzO+RePwTGGHKvRMK023swdH0b+jZOsBryGWR5L1Dw4EKl5Rq6dIWBcxcILRwgtHCAea+J4OuLUfT0PgCgJPMxxM3bQWTnCkkbH/D0DVW1Gi9PboNxx8HQM2lcD+Hi8YAlAR7UVEWIjlFSQUgdGN2lObq1tNRtoQo5wBTgCdSHPvL0RCh6chuy7DTI81/CoMVbqr/xRRKI7Fuh6Om9aq2CKeTIv3MaihIpRA6liZG+tROKnz2EXJqHomcPwWRF0DO3h/TJbRSnxcPY8x2dbWJ9Ge3ZHJ70zBZCdI76VBBSR0KHt8OgNWcgLVHopDy+yBAie3dkn/8NQsvmEEjMkH/3DIqe3oOeuR3keS9L55OYqS0nMDSDPD+ryrKL05PwbOccMFkxePoGsBn2NfStSm8GZdDSE5K2vfEs7FPw9PRh5f8p+EIRXhzeAEv/T0v7ZFw7AIGBCSx8g6Fv7aiT7a0rNsYifOmn+5okQgjVVBBSZ1pYSRDyTludlmk5ZDYAIGXDJDxaMQy5V/+CpHUvALWrxhdaOMAu8EfYTlwJ445+yDi4CsUZ/+tsatZzPBym/Qz7/6yHoVt3ZF8Ih7jFW+DxBci+8Dtsxy+DUfuByDy4slZx1DU+D1g95i2YU+dMQuoEJRWE1KExXm/q9LkgQnM72I77Hs0/jYDD9O2wm7gKTCGH0MwWAqPS6nxFuVoJeUEWBOVqL8rjCYQQmttDZOsCc5/J0LdxQu6VvyqctyTzMfLvnISZ9wRIH92E+A0PCAxNYejujeK0eCiKCnSxqXUiuK8rujtbcR0GIU0WJRWE1LFvh3nA2Vqi0zL5+mLoGVlALs1DYeI1GLi+DT3TZhBIzCFNjlHNpygqQNHT+xDZa1fdzxgDk5dUOD3z8HqY9w0CX98AYAowhey/K/vvv0w3zT265uVkgU/6uXIdBiFNGiUVhNQxQ309bBjvCQOhoNZlFSZcRWHCVZRkPUNh4nWk7ZkHocUbMGrXHzweD8ad30X2+d9REHcRxelJyDi4EnpGFjB066YqI+23r5Bz9W/V+5ent0P6+BZk2WkoTk/Cy9PbUfToJiRtemusPy/2MAQGJjB06QoAEDm0hjT5BopS7iHnciSElm+CLzaq9XbqmoVEHz+O6UijPQipY9RRk5B60MrWGMtHtceMPdfBWM3LURQVIOtMGGS5GRCIjWHYqjvMek0ET1B6Kpt0HQFWIkXm4bVQSPMhfqMNbEYvBk/vf30ISl4+g6gwR/Venp+NjAMrIc9/Ab5IAn3rFrAZvRgGTh3V1i3Pf4nsC3thO2G5aprIvhVMvIbhecQi8A1NYeX/ac03ro6IhXz8MqkzbE3FXIdCSJPHY6w2lzhCiDa2nUvEor/vcB3Ga0PA52HTBE8MaNOM61AIeS1Q8wch9SiwhxM+pGdN1JuQd9pQQkFIPaKkgpB69qWfO0Z0eoPrMJq8j3o74/1uLbgOg5DXCiUVhHBg6Yh28G9vx3UYTdYUbyd8UQe3SieEVI36VBDCEYWC4ev9t7DnUt080fR19XEfZ3zuSwkFIVygpIIQji2NuoeNp+K5DqPR4/GAeX7umNqL+qwQwhVKKghpADafjkfooeo99Ito0hfw8d3wdhjpSX1VCOESJRWENBD/3EzFnPBYFBTLuQ6lUbE1EWPjhE7o+CY9dZQQrlFSQUgDcv9ZLqbtvIKkzIb7/IyGxMvJAuvHdYK1sYjrUAghoKSCkAYnV1qCL/fdxMGbqVyH0qAF9miBrwe3hp6ABrER0lBQUkFIA7Xn0iN8989d5EplXIfSoNiZivHdsHbo427DdSiEkHIoqSCkAUvLkWL+/ls4cieN61AahLFezfHV4NYwFgu5DoUQUgFKKghpBP65mYoFkbeRkVfEdSiceMPcAEtHtEcPFyuuQyGEVIGSCkIaieyCEqw7GYcdF5JRJFNwHU69MDUQ4qPezpjcvQXEOnh0PCGkblFSQUgj8yxbijXH4xB+5TFkiqZ5+oqFfEzu7oSPfJxhakhNHYQ0FpRUENJIJWXkY/WxBzhwI7XJJBdiIR8jOr2BGX1dYWsq5jocQoiWKKkgpJF7li3FrxeTsefyY6TnNs4+F7YmYozv+iYmvO0Ic4k+1+EQQmqIkgpCmogSuQJRt55h57/JuJT4gutwXkko4KGHixXGdHkT/Vvb0P0mCGkCKKkgpIHYvn07Zs2ahaysrFqXlZJViEM3U3Ho1jNcf/QSDaV1RKTHh7erNfw8bNG/TTOYGlB/CUKaEj2uAyCkqZk8eTLCwsI0psfFxcHFxaVeYnAwM0CQd0sEebdEZl4RTt5Px/mHGbj+OAuJGfn1EgMA8HlAK1sTdHY0R9eWFujTygYSEV12CGmq6OwmpA4MGjQI27ZtU5tmbW3NSSyWRiKM9HxD9QTPl/nFuP74Ja4lZ+FmSjYevyjAk6xCFNdymKqBUABHS0M4WhqqEomOb5rRjaoIeY1QUkFIHRCJRLC1tVWbtnLlSmzbtg0JCQmwsLDAO++8g2XLlsHIyKjCMmJjYzFr1ixcuXIFPB4Prq6u2Lx5Mzp37gwAiI6Oxrx583DlyhVYWVlh2LBhCA0NhUQiqTI2c4k++ro3Q1/3ZqppjDGk5RTh0YsCPHlZgOzCEhSWyFFY/N9XiRxyBYNIjw+xUACJSA8mYj2YGerDwdwAjpaGsDGm0RqEvO4oqSCknvD5fPz4449wcnJCQkICpk+fjrlz52LDhg0Vzj9+/Hh07NgRGzduhEAgQExMDITC0l/98fHxGDRoEJYsWYKtW7ciPT0dwcHBCA4O1qghqQ4ejwdbUzFsTcXwcrKo1XYSQl5f1FGTEB2bPHkydu3aBbH4f7/c/fz8EB4erjZfREQEPvzwQ2RkZADQ7KhpYmKCtWvXYtKkSRrrCAoKgkAgwObNm1XToqOj4ePjg/z8fLV1E0JIfaGaCkLqQJ8+fbBx40bVe4lEgmPHjiE0NBT37t1DTk4OZDIZpFIpCgoKYGhoqFHGZ599hqCgIOzcuRP9+/fHqFGj4OzsDKC0aeTGjRvYvXu3an7GGBQKBRITE9G6deu630hCCCmHBoYTUgckEglcXFxUr6KiIgwZMgTt27fHvn37cPXqVaxfvx4AUFxcXGEZISEhuH37Nvz9/XHixAm0adMGf/75JwAgLy8P06ZNQ0xMjOoVGxuLuLg4VeJBCCH1jWoqCKkHV69ehUKhwA8//AA+vzSX37t37yuXc3Nzg5ubGz799FOMHTsW27Ztw7Bhw9CpUyfcuXOn3oaoEkJIdVBNBSH1wMXFBSUlJVi7di0SEhKwc+dObNq0qdL5CwsLERwcjFOnTiE5ORnnzp3D5cuXVc0aX3zxBc6fP4/g4GDExMQgLi4OkZGRCA4Orq9NIoQQDZRUEFIPOnTogJUrV2Lp0qXw8PDA7t27ERoaWun8AoEAmZmZmDhxItzc3DB69Gj4+flh0aJFAID27dvj9OnTePDgAby9vdGxY0csWLAA9vb29bVJhBCigUZ/EEIIIUQnqKaCEEIIITpBSQUhhBBCdIKSCkIIIYToBCUVhBBCCNEJSioIIYQQohOUVBBCCCFEJyipIIQQQohOUFJBCCGEEJ2gpIIQQgghOkFJBSGEEEJ0gpIKQgghhOgEJRWEEEII0QlKKgghhBCiE5RUEEIIIUQnKKkghBBCiE5QUkEIIYQQnaCkghBCCCE68f94mVHfV7++GAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Тестовая выборка:  (18168, 6)\n",
      "hazardous\n",
      "False    16400\n",
      "True      1768\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Вывод распределения количества наблюдений по меткам (классам)\n",
    "print(df.hazardous.value_counts())\n",
    "print()\n",
    "\n",
    "\n",
    "data = df[['est_diameter_min', 'est_diameter_max', 'relative_velocity', 'miss_distance', 'absolute_magnitude', 'hazardous']].copy()\n",
    "\n",
    "df_train, df_val, df_test = split_stratified_into_train_val_test(\n",
    "   data, stratify_colname=\"hazardous\", frac_train=0.60, frac_val=0.20, frac_test=0.20\n",
    ")\n",
    "\n",
    "print(\"Обучающая выборка: \", df_train.shape)\n",
    "print(df_train.hazardous.value_counts())\n",
    "hazardous_counts = df_train['hazardous'].value_counts()\n",
    "plt.figure(figsize=(2, 2))# Установка размера графика\n",
    "plt.pie(hazardous_counts, labels=hazardous_counts.index, autopct='%1.1f%%', startangle=90)# Построение круговой диаграммы\n",
    "plt.title('Распределение классов hazardous в обучающей выборке')# Добавление заголовка\n",
    "plt.show()# Отображение графика\n",
    "\n",
    "print(\"Контрольная выборка: \", df_val.shape)\n",
    "print(df_val.hazardous.value_counts())\n",
    "hazardous_counts = df_val['hazardous'].value_counts()\n",
    "plt.figure(figsize=(2, 2))\n",
    "plt.pie(hazardous_counts, labels=hazardous_counts.index, autopct='%1.1f%%', startangle=90)\n",
    "plt.title('Распределение классов hazardous в контрольной выборке')\n",
    "plt.show()\n",
    "\n",
    "print(\"Тестовая выборка: \", df_test.shape)\n",
    "print(df_test.hazardous.value_counts())\n",
    "hazardous_counts = df_test['hazardous'].value_counts()\n",
    "plt.figure(figsize=(2, 2))\n",
    "plt.pie(hazardous_counts, labels=hazardous_counts.index, autopct='%1.1f%%', startangle=90)\n",
    "plt.title('Распределение классов hazardous в тестовой выборке')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "распределение плохое, соотношение классов сильно смещено, это может привести к проблемам в обучении модели, так как модель будет обучаться в основном на одном классе. В таких случаях стоит рассмотреть методы аугментации данных."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "аугментация данных оверсемплингом(Этот метод увеличивает количество примеров меньшинства)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting imblearn\n",
      "  Downloading imblearn-0.0-py2.py3-none-any.whl.metadata (355 bytes)\n",
      "Collecting imbalanced-learn (from imblearn)\n",
      "  Downloading imbalanced_learn-0.12.4-py3-none-any.whl.metadata (8.3 kB)\n",
      "Requirement already satisfied: numpy>=1.17.3 in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (from imbalanced-learn->imblearn) (2.1.1)\n",
      "Requirement already satisfied: scipy>=1.5.0 in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (from imbalanced-learn->imblearn) (1.14.1)\n",
      "Requirement already satisfied: scikit-learn>=1.0.2 in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (from imbalanced-learn->imblearn) (1.5.2)\n",
      "Requirement already satisfied: joblib>=1.1.1 in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (from imbalanced-learn->imblearn) (1.4.2)\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in d:\\мии\\aim-pibd-31-kouvshinoff-t-a\\laba\\lib\\site-packages (from imbalanced-learn->imblearn) (3.5.0)\n",
      "Downloading imblearn-0.0-py2.py3-none-any.whl (1.9 kB)\n",
      "Downloading imbalanced_learn-0.12.4-py3-none-any.whl (258 kB)\n",
      "Installing collected packages: imbalanced-learn, imblearn\n",
      "Successfully installed imbalanced-learn-0.12.4 imblearn-0.0\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install imblearn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Обучающая выборка после oversampling:  (100447, 6)\n",
      "hazardous\n",
      "True     51250\n",
      "False    49197\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from imblearn.over_sampling import ADASYN\n",
    "\n",
    "# Создание экземпляра ADASYN\n",
    "ada = ADASYN()\n",
    "\n",
    "# Применение ADASYN\n",
    "X_resampled, y_resampled = ada.fit_resample(df_train.drop(columns=['hazardous']), df_train['hazardous'])\n",
    "\n",
    "# Создание нового DataFrame\n",
    "df_train_adasyn = pd.DataFrame(X_resampled)\n",
    "df_train_adasyn['hazardous'] = y_resampled  # Добавление целевой переменной\n",
    "\n",
    "# Вывод информации о новой выборке\n",
    "print(\"Обучающая выборка после oversampling: \", df_train_adasyn.shape)\n",
    "print(df_train_adasyn['hazardous'].value_counts())\n",
    "hazardous_counts = df_train_adasyn['hazardous'].value_counts()\n",
    "plt.figure(figsize=(2, 2))\n",
    "plt.pie(hazardous_counts, labels=hazardous_counts.index, autopct='%1.1f%%', startangle=90)\n",
    "plt.title('Распределение классов hazardous в тренировачной выборке после ADASYN')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "P.S. можно было использовать ещё SMOTE, SVM-SMOTE, K-means SMOTE, SMOTE-N, SMOTE-NC, RandomOverSampler."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "проведём также балансировку данных методом андерсемплинга. Этот метод помогает сбалансировать выборку, уменьшая количество экземпляров класса большинства, чтобы привести его в соответствие с классом меньшинства."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Обучающая выборка после undersampling:  (10608, 6)\n",
      "hazardous\n",
      "False    5304\n",
      "True     5304\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from imblearn.under_sampling import RandomUnderSampler\n",
    "\n",
    "rus = RandomUnderSampler()# Создание экземпляра RandomUnderSampler\n",
    "\n",
    "# Применение RandomUnderSampler\n",
    "X_resampled, y_resampled = rus.fit_resample(df_train.drop(columns=['hazardous']), df_train['hazardous'])\n",
    "\n",
    "# Создание нового DataFrame\n",
    "df_train_undersampled = pd.DataFrame(X_resampled)\n",
    "df_train_undersampled['hazardous'] = y_resampled  # Добавление целевой переменной\n",
    "\n",
    "# Вывод информации о новой выборке\n",
    "print(\"Обучающая выборка после undersampling: \", df_train_undersampled.shape)\n",
    "print(df_train_undersampled['hazardous'].value_counts())\n",
    "\n",
    "# Визуализация распределения классов\n",
    "hazardous_counts = df_train_undersampled['hazardous'].value_counts()\n",
    "plt.figure(figsize=(2, 2))\n",
    "plt.pie(hazardous_counts, labels=hazardous_counts.index, autopct='%1.1f%%', startangle=90)\n",
    "plt.title('Распределение классов hazardous в тренировочной выборке после Undersampling')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2 Датасет: Pima Indians Diabetes Database\n",
    "#### https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database\n",
    "\n",
    "This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.\n",
    "\n",
    "Этот набор данных изначально был получен из Национального института диабета, заболеваний пищеварительной системы и почек. Целью набора данных является диагностическое прогнозирование наличия или отсутствия у пациента диабета на основе определенных диагностических измерений, включенных в набор данных. На выбор этих случаев из более крупной базы данных налагалось несколько ограничений. В частности, все пациенты здесь — женщины в возрасте не менее 21 года индейского происхождения пима.\n",
    "\n",
    "- объект иследования - женьщины индейци пима\n",
    "- очевидно цель датасета это предсказание диабета.\n",
    "- атрибуты: Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, BMI, DiabetesPedigreeFunction, Age, Outcome"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "количество колонок: 9\n",
      "колонки: Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, BMI, DiabetesPedigreeFunction, Age, Outcome\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv(\"..//static//csv//diabetes.csv\", sep=\",\")\n",
    "print('количество колонок: ' + str(df.columns.size))  \n",
    "print('колонки: ' + ', '.join(df.columns))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Получение сведений о пропущенных данных\n",
    "\n",
    "Типы пропущенных данных:\n",
    "- None - представление пустых данных в Python\n",
    "- NaN - представление пустых данных в Pandas\n",
    "- '' - пустая строка"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pregnancies                 0\n",
      "Glucose                     0\n",
      "BloodPressure               0\n",
      "SkinThickness               0\n",
      "Insulin                     0\n",
      "BMI                         0\n",
      "DiabetesPedigreeFunction    0\n",
      "Age                         0\n",
      "Outcome                     0\n",
      "dtype: int64\n",
      "\n",
      "Pregnancies                 False\n",
      "Glucose                     False\n",
      "BloodPressure               False\n",
      "SkinThickness               False\n",
      "Insulin                     False\n",
      "BMI                         False\n",
      "DiabetesPedigreeFunction    False\n",
      "Age                         False\n",
      "Outcome                     False\n",
      "dtype: bool\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Количество пустых значений признаков\n",
    "print(df.isnull().sum())\n",
    "\n",
    "print()\n",
    "\n",
    "# Есть ли пустые значения признаков\n",
    "print(df.isnull().any())\n",
    "\n",
    "print()\n",
    "\n",
    "# Процент пустых значений признаков\n",
    "for i in df.columns:\n",
    "    null_rate = df[i].isnull().sum() / len(df) * 100\n",
    "    if null_rate > 0:\n",
    "        print(f\"{i} процент пустых значений: %{null_rate:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Итог: пропущеных значений нет"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "посмотрим выбросы:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Колонка Pregnancies:\n",
      "  Есть выбросы: Да\n",
      "  Количество выбросов: 4\n",
      "  Минимальное значение: 0\n",
      "  Максимальное значение: 17\n",
      "  1-й квартиль (Q1): 1.0\n",
      "  3-й квартиль (Q3): 6.0\n",
      "\n",
      "Колонка Glucose:\n",
      "  Есть выбросы: Да\n",
      "  Количество выбросов: 5\n",
      "  Минимальное значение: 0\n",
      "  Максимальное значение: 199\n",
      "  1-й квартиль (Q1): 99.0\n",
      "  3-й квартиль (Q3): 140.25\n",
      "\n",
      "Колонка BloodPressure:\n",
      "  Есть выбросы: Да\n",
      "  Количество выбросов: 45\n",
      "  Минимальное значение: 0\n",
      "  Максимальное значение: 122\n",
      "  1-й квартиль (Q1): 62.0\n",
      "  3-й квартиль (Q3): 80.0\n",
      "\n",
      "Колонка SkinThickness:\n",
      "  Есть выбросы: Да\n",
      "  Количество выбросов: 1\n",
      "  Минимальное значение: 0\n",
      "  Максимальное значение: 99\n",
      "  1-й квартиль (Q1): 0.0\n",
      "  3-й квартиль (Q3): 32.0\n",
      "\n",
      "Колонка Insulin:\n",
      "  Есть выбросы: Да\n",
      "  Количество выбросов: 34\n",
      "  Минимальное значение: 0\n",
      "  Максимальное значение: 846\n",
      "  1-й квартиль (Q1): 0.0\n",
      "  3-й квартиль (Q3): 127.25\n",
      "\n",
      "Колонка BMI:\n",
      "  Есть выбросы: Да\n",
      "  Количество выбросов: 19\n",
      "  Минимальное значение: 0.0\n",
      "  Максимальное значение: 67.1\n",
      "  1-й квартиль (Q1): 27.3\n",
      "  3-й квартиль (Q3): 36.6\n",
      "\n",
      "Колонка DiabetesPedigreeFunction:\n",
      "  Есть выбросы: Да\n",
      "  Количество выбросов: 29\n",
      "  Минимальное значение: 0.078\n",
      "  Максимальное значение: 2.42\n",
      "  1-й квартиль (Q1): 0.24375\n",
      "  3-й квартиль (Q3): 0.62625\n",
      "\n",
      "Колонка Age:\n",
      "  Есть выбросы: Да\n",
      "  Количество выбросов: 9\n",
      "  Минимальное значение: 21\n",
      "  Максимальное значение: 81\n",
      "  1-й квартиль (Q1): 24.0\n",
      "  3-й квартиль (Q3): 41.0\n",
      "\n",
      "Колонка Outcome:\n",
      "  Есть выбросы: Нет\n",
      "  Количество выбросов: 0\n",
      "  Минимальное значение: 0\n",
      "  Максимальное значение: 1\n",
      "  1-й квартиль (Q1): 0.0\n",
      "  3-й квартиль (Q3): 1.0\n",
      "\n"
     ]
    }
   ],
   "source": [
    "numeric_columns = ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age']\n",
    "for column in numeric_columns:\n",
    "    if pd.api.types.is_numeric_dtype(df[column]):  # Проверяем, является ли колонка числовой\n",
    "        q1 = df[column].quantile(0.25)  # Находим 1-й квартиль (Q1)\n",
    "        q3 = df[column].quantile(0.75)  # Находим 3-й квартиль (Q3)\n",
    "        iqr = q3 - q1  # Вычисляем межквартильный размах (IQR)\n",
    "\n",
    "        # Определяем границы для выбросов\n",
    "        lower_bound = q1 - 1.5 * iqr  # Нижняя граница\n",
    "        upper_bound = q3 + 1.5 * iqr  # Верхняя граница\n",
    "\n",
    "        # Подсчитываем количество выбросов\n",
    "        outliers = df[(df[column] < lower_bound) | (df[column] > upper_bound)]\n",
    "        outlier_count = outliers.shape[0]\n",
    "\n",
    "        print(f\"Колонка {column}:\")\n",
    "        print(f\"  Есть выбросы: {'Да' if outlier_count > 0 else 'Нет'}\")\n",
    "        print(f\"  Количество выбросов: {outlier_count}\")\n",
    "        print(f\"  Минимальное значение: {df[column].min()}\")\n",
    "        print(f\"  Максимальное значение: {df[column].max()}\")\n",
    "        print(f\"  1-й квартиль (Q1): {q1}\")\n",
    "        print(f\"  3-й квартиль (Q3): {q3}\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "построим графики в надежде найти какие то зависимости опасности от других колонок"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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wdnY2aM/Ly9MfBoiOjkZaWhoGDhxo8Hl2cnJCWFgYDh48qF/37t27qFatmtnXpZu1eXgsKIkQAlOmTMFzzz1n8hT3hz/v6enpSE1NRadOnfD3338jPT3doO+YMWMM+nfu3BmhoaH6cejevXs4cOAA+vfvrx+nU1NTcffuXURERODatWsmD4+Uhm48KItHPs0YHh6u//9Bgwahfv36mDp1KkaMGIEnn3wSQOGu6//+9z8cOHDA6ENf9A0/ceIEfHx89I8bNmyIbdu2mR04pk+fjoCAALz66qtGx0ZiY2PRuHFjgw9rSSZPnoyOHTvi6aefxtixY0328fHxQWRkJFatWoW2bdti1apViIqKMgq/GzduAAAaN25stI0mTZrg2LFjAKAfPK15nOvKlSv691EulyM4OBjTp0/HoEGDSlxXpVLhp59+AgD9MaLatWsb9atXr55R27Vr13Dx4kWD3+HDkpOTARS+NzVr1oSbm5vB8oenUovWVHSb1apVw/379w3afv75Z3z44Yc4f/68waUEpj4/Rb84FN1mSkoK1Gp1mX8vugtRzU2ZAoWf+2rVquGjjz5CVFQUAgMDERoaij59+mDIkCEGIVVUSkoKsrOzTX6umjZtCq1Wi5s3b5b7rDUPDw9kZGQU20e3vKTQK4vY2Fg899xzxfa5ceMGGjZsaPRvTjfVrvu3p1P0d60LtsDAQJPtus+A7nfZtWtXk3V4enoaPBbFnEyempoKhUJh9Jkvztq1a/HHH39g48aNWLdundHy48ePY/r06Th58iSys7MNlqWnp8PLy0v/2W/SpInR+k2bNtWPmzExMRBCYNq0aZg2bZrJepKTk1GrVq1S168jhCjzF/NHHmZFPf/885g6dSpOnTqFJ598EmlpaejUqRM8PT3xwQcfoEGDBlCpVDh37hzeffddo5MCWrVqhUWLFgGAfl63c+fOOHfuHPz9/Q36Xr58GWvWrMF3331n9oSUsti7dy/27duHkydPlth3+PDhGDJkCMaNG4cjR47gyy+/xNGjR8tdg7UEBQXpj/vdvXsXS5Yswcsvv4z69evjiSeeKHZdJycnswexH2bqGIlWq0WPHj3wzjvvmFynUaNGpajedE0lOXr0KJ599lk89dRT+Oyzz1CzZk0oFAqsXr3a5EBgbpvFDUiloftML1iwAK1btzbZRzeL0L9/f3Ts2BFbt27F3r17sWDBAsyfPx8//PADevfuXa46yqtp06b47bffkJubC6VSabLPxYsXoVAo0LBhQwDm91aLnqjzqJn7XZf0GdD9Lr/99luj8QeAwRflGjVqGH25elhcXBzq1KlT6kE9Ly8P06ZNw4gRI0z+u4mNjUW3bt3QpEkTfPzxxwgMDISLiwt27tyJ//u//9PXXtpjmbr+EydONJpx0TH3ZbMk9+/fNzu7Zo7Nw+zBgwcA/v2QHDp0CHfv3sUPP/yAp556St/v+vXrJtevVq2awUDauXNnBAQEYPXq1UYHS6dMmYLWrVtjwIABJrfVoEEDnDp1ChqNpsSwE0Jg8uTJ6NevX4mDPQD07t0bKpUKL774Ijp06IAGDRoYhVndunUBFJ4oUfSb3dWrV/XLdd/Ci561WR5VqlQxeB87duyIWrVqYe/evaV6fZZq0KABMjMzSwzDunXr4uDBg8jOzjb4phoTE2Pxc2/ZsgUqlQp79uwxGHxXr15t0fZ8fHzg6elZ5t+LburS09OzVF8KatasidGjR2P06NFITk5GmzZtMHv2bLNh5uPjAzc3N5PXMl25cgVyudxoj8MSTz/9NE6ePIlNmzbhpZdeMloeFxeHo0ePonv37voBUzfNlpaWpj+5CTDeUwLMB1+DBg1KfM/r1q2LixcvQqvVGuyd6Q5b6P5tlZfud+nr61vi77JJkyZYu3atfo/oYfn5+bhw4QJ69epV6uf+7LPPkJycbHTmts5PP/2E3NxcbN++3WDP8+GpT+DfGRRT49CVK1f0J7DoxiGFQlGqz21ZXL9+HSEhIWVa55EdM9u5c6fJ9i+++AIymUz/pulC7eFvu3l5efjss89K9Ty6cCx694mTJ0/ixx9/xLx588z+o3juueeQmpqKpUuXGi0r+u17/fr1uHjxosmzIk1xdnbGkCFDcPHiRQwfPtxkn7Zt28LX1xcrVqwwqH/Xrl24fPmy/uw6Hx8fPPXUU1i1apXRWZvl3UvQ0X3rKs0eTnn0798fJ0+exJ49e4yW6c58BYCIiAhoNBqDs0a1Wi2WLVtm8XM7OTlBJpMZ7AXExcVh27ZtFm1PLpejb9+++Omnn4wutwDM/25CQ0PRoEEDLFy4EJmZmUbLdZd1FBQUGE2z+/r6IiAgoNi7rTg5OaFnz5748ccf9ae6A0BSUhLWrVuHDh06GE1/WeLVV1+Fr68vJk2aZHRsMicnB8OGDYMQAu+//76+XTf4P3yBbFZWltEp80DhF660tDSj9ueeew4XLlwwOkYL/Pue9+nTB4mJidiwYYN+WX5+Pj799FO4u7ujU6dOZXuxZkRERMDT0xNz5syBRqMxWv7wJTrh4eEQQuDs2bNG/fbu3Yv09HT85z//KdXzZmRkYPbs2XjrrbdM7hECpsfW9PR0oy9vjz32GPz9/Y3GoaNHj+LMmTN4+umnARR+9jp37oyVK1ciISGh2NdaFunp6YiNjS32zFlTHtme2aBBg9CkSRP069cPfn5+SElJwa5du3Dw4EFMnToVLVu2BFB4ima1atUQFRWFN954AzKZDN9++63ZgSApKQnfffcdgMI55pUrV8LZ2Vn/huvs3bsXPXr0KPYbxJAhQ/DNN99gwoQJOH36NDp27IisrCzs27cPo0ePNvhg7d27V396eWnNmjULkyZNMnvQV6FQYP78+Rg2bBg6deqEgQMH6k/NDwoKMjhNdcmSJejQoQPatGmDUaNGoV69eoiLi8OOHTtw/vz5Utekk5mZqb9m6t69e1iyZAkUCoXR6enWNmnSJGzfvh1PP/00hg4ditDQUGRlZeH333/H5s2bERcXB29vb/Tt2xft2rXD22+/jZiYGDRp0gTbt2/XX+NjyYkvkZGR+Pjjj9GrVy8MGjQIycnJWLZsGYKDg3Hx4kWLXs+cOXOwd+9edOrUCaNGjULTpk2RkJCATZs24dixYwZ7HzpyuRxffvklevfujebNm2PYsGGoVasWbt++jYMHD8LT0xM//fQTMjIyULt2bTz//PMICQmBu7s79u3bh19//VU/1W7Ohx9+iOjoaHTo0AGjR4+Gs7MzVq5cidzcXHz00UcWvdaiatSogc2bNyMyMhJt2rQxugNITEwMPvnkE4NBqmfPnqhTpw5GjBiBSZMmwcnJCatWrYKPj4/RF7XQ0FAsX74cH374IYKDg+Hr64uuXbti0qRJ2Lx5M1544QUMHz4coaGhuHfvHrZv344VK1YgJCQEo0aNwsqVKzF06FCcPXsWQUFB2Lx5M44fP47Fixdb7Riep6cnli9fjpdffhlt2rTBiy++qH8tO3bswJNPPqn/styhQwfUqFED+/btM9gD2rBhAyZOnAilUokHDx7oxzegcKAvKCjAtm3b0LdvX337uXPn4O3tbXa6Xvdeu7i44JlnnsGrr76KzMxMfPHFF/D19TUII2dnZ3z00UcYMmQIOnbsiMGDB+sP4dSuXdvgtP9ly5ahQ4cOaNmyJUaOHIn69esjKSkJJ0+exK1bt3DhwoUyv4f79u2DEKLUQa5XpnMfy2H58uWiT58+IiAgQDg7O4uqVauKiIgIsXPnTqO+x48fF0888YRwdXUVAQEB4p133hF79uwxOJ1ZiMJTPPHQaf5Vq1YVTz75pNE2AQiZTCbOnj1r0G7qFNHs7GwxdepUUa9ePaFQKIS/v794/vnn9ac0607ddXV1Nbq7RdHT33WnuJo6Tbu45Rs2bBCPPfaYUCqVonr16mLw4MHi1q1bRutfunRJ9OvXT1StWlWoVCrRuHFjMW3aNJPPVdKp+abex127dpns/zBTdwAx9/yRkZEml2VkZIgpU6aI4OBg4eLiIry9vUX79u3FwoULDe4ck5KSIgYNGiQ8PDyEl5eXGDp0qDh+/LgAINavX19iTaZOA//qq69Ew4YNhVKpFE2aNBGrV6822Q+AyVPiTb2vN27cEEOGDBE+Pj5CqVSK+vXrizFjxojc3FwhhPGp+Tq//fab+O9//ytq1KghlEqlqFu3rujfv7/Yv3+/EEKI3NxcMWnSJBESEiI8PDxElSpVREhIiPjss89Mvq9FnTt3TkRERAh3d3fh5uYmunTpIk6cOGG2f1lPzde5fv26GDlypKhTp45QKBTC29tbPPvss+Lo0aMm+589e1aEhYUJFxcXUadOHfHxxx+bPDU/MTFRREZGCg8PDwHAoLa7d++KsWPHilq1agkXFxdRu3ZtERUVZXBae1JSkhg2bJjw9vYWLi4uomXLlgaXdOhqByAWLFhg0K77nW3atMmg3dy/4YMHD4qIiAjh5eUlVCqVaNCggRg6dKg4c+aMQb833nhDBAcHG7TpLmMp7qdu3br6/rp/v//3f/9nsB1Tn+Pt27eLVq1aCZVKJYKCgsT8+fP1lyQVvQvTxo0bDcahgQMHGl0KJIQQsbGxYsiQIcLf318oFApRq1Yt8fTTT4vNmzcb9dXVW9znasCAAaJDhw5ml5vzyK8zI7KmrVu3CgDi2LFjti6FqMxiY2OFQqEQ+/bt07fVrVvXKGQfdvDgQYMwcyQJCQlCpVKJbdu2lXldx7rLKTk03fFQnYKCAnz66afw9PQs9u4XRPaqfv36GDFiBObNm2frUuzC4sWL0bJly7JPMcIOzmYkKq1x48bhwYMHCA8PR25uLn744QecOHECc+bMKdOtkYjsSdF7I/br18/srfOAwtt4mbpA3BGUJ9Qf2Z+AISqvdevWYdGiRYiJiUFOTg6Cg4Px+uuvm71YnYgqD4YZERFJHo+ZERGR5DHMiIhI8ngCiAlarRZ37tyBh4eHxXehJyKyJ0IIZGRkICAgwOxf+JAyhpkJd+7cscq96oiI7M3NmzdN/lULqWOYmaC7tc3NmzfLdM86jUaDvXv3omfPnla5Kz8RUVGWjjNqtRqBgYFW/fM79oRhZoJuatHT07PMYebm5gZPT0+GGRFViPKOM4566MTxJk6JiKjSYZgREZHkMcyIiEjyGGZERCR5DDMiIpI8m4bZkSNH8MwzzyAgIAAymczoz9XLZDKTPwsWLDC7zRkzZhj1b9KkSQW/EiIisiWbhllWVhZCQkKwbNkyk8sTEhIMflatWgWZTIbnnnuu2O02b97cYL1jx45VRPlERGQnbHqdWe/evdG7d2+zy/39/Q0e//jjj+jSpQvq169f7HadnZ2N1i1Obm4ucnNz9Y/VajWAwus5NBpNqbej61uWdYiIysLSccbRxyXJXDSdlJSEHTt24Ouvvy6x77Vr1xAQEACVSoXw8HDMnTsXderUMdt/7ty5mDlzplH73r174ebmVuZao6Ojy7wOEVFZlHWcyc7OrqBK7IPd/D0zmUyGrVu3om/fviaXf/TRR5g3bx7u3LkDlUpldju7du1CZmYmGjdujISEBMycORO3b9/GpUuXzN7GxdSeWWBgIFJTU8t8B5Do6Gj06NGDdwAhogph6TijVqvh7e2N9PT0Mo1rUiGZPbNVq1Zh8ODBxQYZAINpy1atWiEsLAx169bFxo0bMWLECJPrKJVKKJVKo3aFQmFRKFm6HhFRaZV1nHH0MUkSYXb06FFcvXoVGzZsKPO6VatWRaNGjRATE1MBlRERkT2QxHVmX331FUJDQxESElLmdTMzMxEbG4uaNWtWQGVERGQPbBpmmZmZOH/+PM6fPw8AuH79Os6fP4/4+Hh9H7VajU2bNuGVV14xuY1u3bph6dKl+scTJ07E4cOHERcXhxMnTqBfv35wcnLCwIEDK/S1EBGR7dh0mvHMmTPo0qWL/vGECRMAAFFRUVizZg0AYP369RBCmA2j2NhYpKam6h/funULAwcOxN27d+Hj44MOHTrgl19+gY+PT8W9ECIisimbhlnnzp1R0smUo0aNwqhRo8wuj4uLM3i8fv16a5RGREQSIoljZkRERMVhmBERkeQxzIiISPIYZkREJHkMMyIiidBqBW7ffwAAuH3/AbRau7gboV2QxB1AiIgqu5jkDOy5lIS4FDU6qIBlB2MQ5OOJiBZ+CPY1fd/ZyoR7ZkREdi4mOQOrj8fh0p10eLkW3mPRy1WBS3fSsfp4HGKSM2xcoe0xzIiI7JhWK7DnUhLuZeWhoa873FWFE2ruKmc09HXHvaw87P0jqdJPOTLMiIjs2O20B4hNyURNLxVkMpnBMplMhppeKsQkZ+J22gMbVWgfGGZERHYsKy8fOfkFcHMxfYqDq4sTcvMLkJWX/4grsy8MMyIiO1bFxRkqZydkmwmrB3kFUDo7oYqZsKssGGZERHasVlVXNPBxR0J6jtG9bIUQSEjPQbCvO2pVdbVRhfaBYUZEZMfkchkiWvihehUXXEvORGZO4R5aZk4+riVnonoVF/Rs7ge5XFbClhwbw4yIyM4F+3pg2JNBaBHghfQHGgBA+gMNWtbywrAng3idGXjRNBGRJAT7eqB+Z3fEp2bgwsmbGNMlGHW8PSr9HpkO98yIiCRCLpehVrXCY2O1qrkyyB7CMCMiIsljmBERkeQxzIiISPIYZkREJHkMMyIikjyGGRERSR7DjIiIJI9hRkREkscwIyIiyWOYERGR5DHMiIhI8hhmREQkeQwzIiKSPIYZERFJHsOMiIgkj2FGRESSxzAjIiLJY5gREZHkMcyIiEjyGGZERCR5DDMiIpI8hhkREUkew4yIiCSPYUZERJLHMCMiIsljmBERkeQxzIiISPIYZkREJHkMMyIikjyGGRERSR7DjIiIJI9hRkREkscwIyIiyWOYERGR5DHMiIhI8hhmREQkeQwzIiKSPIYZERFJHsOMiIgkj2FGRESSxzAjIiLJY5gREZHkMcyIiEjyGGZERCR5DDMiIpI8hhkREUkew4yIiCSPYUZERJLHMCMiIsljmBERkeQxzIiISPIYZkREJHkMMyIikjyGGRERSR7DjIhIIrRagdv3HwAAbt9/AK1W2Lgi+2HTMDty5AieeeYZBAQEQCaTYdu2bQbLhw4dCplMZvDTq1evEre7bNkyBAUFQaVSISwsDKdPn66gV0BE9GjEJGdg+aFYLDsYAwBYdjAGyw/FIiY5w8aV2QebhllWVhZCQkKwbNkys3169eqFhIQE/c/3339f7DY3bNiACRMmYPr06Th37hxCQkIQERGB5ORka5dPRPRIxCRnYPXxOFy6kw4vVwUAwMtVgUt30rH6eBwDDYCzLZ+8d+/e6N27d7F9lEol/P39S73Njz/+GCNHjsSwYcMAACtWrMCOHTuwatUqTJ48uVz1EhE9alqtwJ5LSbiXlYeGvu6QQws8ANxVzmiocsG15Ezs/SMJ9b3dIZfLbF2uzdg0zErj0KFD8PX1RbVq1dC1a1d8+OGHqFGjhsm+eXl5OHv2LKZMmaJvk8vl6N69O06ePGn2OXJzc5Gbm6t/rFarAQAajQYajabUter6lmUdIqLi3L7/AHEpatTydIEcWshEAQBAJgoglwG1PF1wPVmN+NQM1KrmanY7jj4u2XWY9erVC//9739Rr149xMbG4r333kPv3r1x8uRJODk5GfVPTU1FQUEB/Pz8DNr9/Pxw5coVs88zd+5czJw506h97969cHNzK3Pd0dHRZV6HiMicDioAAsCDf9uCcmL/faACLpy8iQvFbCM7O7uCqrMPdh1mL774ov7/W7ZsiVatWqFBgwY4dOgQunXrZrXnmTJlCiZMmKB/rFarERgYiJ49e8LT07PU29FoNIiOjkaPHj2gUCisVh8RVV637z/AsoMx8HJVwF3lDJkoQFBOLOJUDSBkTsjMyUf6Aw3GdAkuds9MN+PkqOw6zIqqX78+vL29ERMTYzLMvL294eTkhKSkJIP2pKSkYo+7KZVKKJVKo3aFQmFRKFm6HhFRUXW8nRHk44lLd9LRUOUC3WExIXOCFnLcVuehZS0v1PH2KPaYmaOPSZK6zuzWrVu4e/cuatasaXK5i4sLQkNDsX//fn2bVqvF/v37ER4e/qjKJCKyGrlchogWfqhepfBkj8ycfABAZk4+riVnonoVF/Rs7lepT/4AbBxmmZmZOH/+PM6fPw8AuH79Os6fP4/4+HhkZmZi0qRJ+OWXXxAXF4f9+/fjP//5D4KDgxEREaHfRrdu3bB06VL94wkTJuCLL77A119/jcuXL+P1119HVlaW/uxGIiKpCfb1wLAng9AiwAvpDwpP5Eh/oEHLWl4Y9mQQgn09bFyh7dl0mvHMmTPo0qWL/rHuuFVUVBSWL1+Oixcv4uuvv0ZaWhoCAgLQs2dPzJo1y2BKMDY2FqmpqfrHAwYMQEpKCt5//30kJiaidevW2L17t9FJIUREUhLs64H6nd0Rn5qBCydvYkyX4BKnFisTmRCC90MpQq1Ww8vLC+np6WU+AWTnzp3o06ePw89PE5FtWDrOWDquSYWkjpkRERGZwjAjIiLJY5gREZHkMcyIiEjyGGZERCR5DDMiIpI8hhkREUkew4yIiCSPYUZERJLHMCMiIsljmBERkeQxzIiISPIYZkREJHkMMyIikjyGGRERSR7DjIiIJI9hRkREkscwIyIiyWOYERGR5DHMiIhI8hhmREQkeQwzIiKJyM/X4uyNewCAszfuIT9fa+OK7IezrQsgIqKS7b+chDXH43DnfibeaARM3XoJAdXcMfTJIHRr6mfr8myOYUZEZOf2X07C3F1XkJGjgb+7AgDgrnTGX8kZmLvrCgBU+kDjNCMRkR3Lz9dizfE4ZORoUKeaK9xVhfsg7ipn1KnmiowcDb4+EVfppxwZZkREduzczfuIu5uFGlVcIJcbDtlyuRw1qrjgemoWzt28b6MK7QPDjIjIjt3NyoOmQAtXFyeTy11dnKAp0OJuVt4jrsy+MMyIiOxYjSouUDjJ8SCvwOTyB3kFUDgV7qFVZgwzIiI71iawGoJqVMHdrDxotYbHxbTawj2yet5V0Cawmo0qtA8MMyIiO+bsLMfQJ4PgoVIg/v4DZObkAwAyc/IRf/8BPFUKRLUPgrNz5R7OeWo+EZGd0512r7vODAAyc/PR2M8DUe15nRnAMCMikoRuTf3QqaEPzsSlIOmPXzC7Xwu0DfKp9HtkOnwXiIgkwtlZjtC61QEAoXWrM8gewneCiIgkj2FGRESSxzAjIiLJY5gREZHkMcyIiEjyGGZERCR5DDMiIpI8hhkREUkew4yIiCSPYUZERJLHMCMiIsljmBERkeQxzIiISPIYZkREJHkMMyIikjyGGRERSR7DjIiIJI9hRkREkscwIyIiyWOYERGR5DHMrCQ7W4PPDv0FAPjs0F/IztbYuCIicjQcZ8yTCSGErYuwN2q1Gl5eXkhPT4enp2eJ/adu/R2bz9wCUICP2hXgndNOAJzwfNvamN2vZYXXS0SOr7zjTFnHNanhnlk5Td36O74/HY/cAq3+zZQDyC3Q4vvT8Zi69XdblkdEDoDjTMkYZuWQna3B5jO3oBWAswxwlssAFP7XWQZoBbD57C1OBRCRxTjOlA7DrBw+PxGr/6Yk/+cDpiOXywq/OeVr8fmJWJvUR0TSx3GmdBhm5XDrXg4AQCYzvVzXrutHRFRWHGdKh2FWDrWrqwAA5k6h0bXr+hERlRXHmdJhmJXDqPYNoHSSQwtAqzX8pGm1AloASmc5RrVvYJP6iEj6OM6UDsOsHNzcFHi+bW3IZUC+APL/+aDlawXyBSCXAc+H1oabm8LGlRKRVHGcKR1nWxcgdbrrOzafuQUtCgBA/03p+VBeZ0ZE5cdxpmS8aNoESy4uzM7W4IvjfyEoOwZxbsEY+WSjSv9NiYisqzzjDC+aplJxc1NgdOdGAIDRnRlkRGR9HGfMY5gREZHkMcyIiEjyGGZERCR5DDMiIpI8hhkREUkew4yIiCTPpmF25MgRPPPMMwgICIBMJsO2bdv0yzQaDd599120bNkSVapUQUBAAIYMGYI7d+4Uu80ZM2ZAJpMZ/DRp0qSCXwkREdmSTcMsKysLISEhWLZsmdGy7OxsnDt3DtOmTcO5c+fwww8/4OrVq3j22WdL3G7z5s2RkJCg/zl27FhFlE9ERHbCprez6t27N3r37m1ymZeXF6Kjow3ali5dinbt2iE+Ph516tQxu11nZ2f4+/tbtVYiIrJfkro3Y3p6OmQyGapWrVpsv2vXriEgIAAqlQrh4eGYO3duseGXm5uL3Nxc/WO1Wg2gcKpToyn9X2/V9S3LOkREZWHpOOPo45JkwiwnJwfvvvsuBg4cWOx9xcLCwrBmzRo0btwYCQkJmDlzJjp27IhLly7Bw8PD5Dpz587FzJkzjdr37t0LNze3MtdadI+SiMjayjrOZGdnV1Al9sFubjQsk8mwdetW9O3b12iZRqPBc889h1u3buHQoUNluklmWloa6tati48//hgjRoww2cfUnllgYCBSU1PL9FwajQbR0dHo0aMHFAreM42IrM/ScUatVsPb29thbzRs93tmGo0G/fv3x40bN3DgwIEy/xKqVq2KRo0aISYmxmwfpVIJpVJp1K5QKCwKJUvXIyIqrbKOM44+Jtn1dWa6ILt27Rr27duHGjVqlHkbmZmZiI2NRc2aNSugQiIisgc2DbPMzEycP38e58+fBwBcv34d58+fR3x8PDQaDZ5//nmcOXMGa9euRUFBARITE5GYmIi8vDz9Nrp164alS5fqH0+cOBGHDx9GXFwcTpw4gX79+sHJyQkDBw581C+PiIgeEZtOM545cwZdunTRP54wYQIAICoqCjNmzMD27dsBAK1btzZY7+DBg+jcuTMAIDY2Fqmpqfplt27dwsCBA3H37l34+PigQ4cO+OWXX+Dj41OxL4aIiGzGpmHWuXNnFHf+SWnOTYmLizN4vH79+vKWRUREEmPXx8yIiIhKg2FGRESSxzAjIiLJY5gREZHkMcysJDtbg88O/QUA+OzQX8jOduz7oBHRo5eTk491p+IAAOtOxSEnJ9+2BdkRu7mdlT1Rq9Xw8vIq9W1fpm79HZvP3AJQgI/aFeCd004AnPB829qY3a9lhddLRI5v0d6r+ObEDWjy8zD38QJM+dUJCmcXDGlfF2/3bFzi+mUd16TG7m9nZe+mbv0d35+Oh1YArk6FbXIADwq0+P50PAAw0IioXBbtvYoVh2ORrxXwcJYBAJxlMqhzNVhxOBYAShVojozTjOWQna3B5jO3oBWAswxwlv/zIZPL4CwDtALYfPYWpxyJyGI5Ofn45sQN5GsF3JxlcHEuHLZdnOVwc5YhXyvw7ckblX7KkWFWDp+fiEVugRZyAPJ/gkxHLpdBDiA3X4vPT8TapD4ikr4N5+KRmauBi1wGudxwyJbL5XCRy5CRo8GGc/E2qtA+MMzK4da9HACATGZ6ua5d14+IqKxu38+BVgBOZkZrJ3nhLNDt+5V7nGGYlUPt6ioAgLlTaHTtun5ERGVVq5oKchlQoDW9vEALyGWF/Sozhlk5jGrfAEonObQAtFrDRNNqBbQAlM5yjGrfwCb1EZH0DWhTB+5KBfK0AlqtYaJptVrkaQU8VAoMaFPHRhXaB4ZZObi5KfB829qQy4B8AeT/E2j5WoF8Ufht6fnQ2nBzc+w/ikdEFUelcsaQ9nXhLJchO18gL78w0PLytcjOF1DIZXg5vC5Uqsp9cnrlfvVWoDvtfvOZW9CiAAD0e2TPh/I6MyIqP91p97rrzAAgXwh4qVzwcnjprjNzdLxo2gRLLi7Mztbgi+N/ISg7BnFuwRj5ZCPukRGRVeXk5GPDmeuoevdPpNVohgFt65V6j8zRL5rmNKOVuLkpMLpzIwDA6M4MMiKyPpXKGYPCggAAg8KCKv3U4sMYZkREJHkMMyIikjyGGRERSR7DjIiIJI9hRkREkscwIyIiyWOYERGR5DHMiIhI8hhmREQkeQwzIiKSPIYZERFJHsOMiIgkj2FGRESSxzAjIiLJY5gREZHkMcyIiEjyGGZERCR5DDMiIpI8hhkREUkew4yIiCSPYUZERJLHMLOSnJx8rDsVBwBYdyoOOTn5ti2IiByOOjMX/9t2EQDwv20Xoc7MtXFF9sPZ1gU4gkV7r+KbEzegyc/D3MeB+buv4uN91zGkfV283bOxrcsjIgcQteoUjvyVChcngfbtgG3nE7DxbCKeauSNr4eH2bo8m+OeWTkt2nsVKw7HQp2rgbNMBgBwlsmgztVgxeFYLNp71cYVEpHURa06hcN/pUIUaRcADv+ViqhVp2xRll1hmJVDTk4+vjlxA/laATdnGVycC99OF2c53JxlyNcKfHvyBqccichi6sxcHPkrtdg+R/5KrfRTjgyzcthwLh6ZuRq4yGWQyw3fSrlcDhe5DBk5Gmw4F2+jColI6j7Y9afRHllR4p9+lRnDrBxu38+BVgBOZt5FJzmgFYX9iIgscete6caP0vZzVAyzcqhVTQW5DCjQml5eoAXkssJ+RESWqF29dONHafs5KoZZOQxoUwfuSgXytAJarWGiabVa5GkFPFQKDGhTx0YVEpHUvd+7GWQl9JH9068yY5iVg0rljCHt68JZLkN2vkBefmGg5eVrkZ0voJDL8HJ4XahUvAKCiCzj6a7EU428i+3zVCNveLorH1FF9olhVk5v92yM1zo1gKdSgXxReJg2Xwh4qRR4tVMDXmdGROX29fAwdGrkbbSHJgPQideZAQBkQoiSTpSpdNRqNby8vJCeng5PT89SrZOTk48NZ66j6t0/kVajGQa0rcc9MiKyKnVmLmbvuoT2LrdwIq82pvZuUeo9MkvGNSnhnpmVqFTOGBQWBAAYFBbEICMiq/N0V+LDvq0AAB/2bVXppxYfxjAjIiLJY5gREZHkMcyIiEjyGGZERCR5DDMiIpI8hhkREUkew4yIiCSPYUZERJLHMCMiIsljmBERkeQxzIiISPIYZkREJHkMMyIikjyGGRERSR7DjIiIJI9hRkREkscwIyIiyWOYERGR5DHMiIhI8hhmREQkeQwzIiKSPIaZldy6q0bvxYcAAL0XH8Ktu2rbFkREDic1PRtDV/8CABi6+hekpmfbuCL74WzrAhxB65l7kPYgH0onAQC4mZaLDguOoqqrM85Pj7BxdUTkCLovOoiYlGwonQT6+wFnbqSj7dyDCPZxw763u9i6PJuz6Z7ZkSNH8MwzzyAgIAAymQzbtm0zWC6EwPvvv4+aNWvC1dUV3bt3x7Vr10rc7rJlyxAUFASVSoWwsDCcPn26gl7Bv0FmStqDfLSeuafCnpuIKgddkJkSk5KN7osOPuKK7I9NwywrKwshISFYtmyZyeUfffQRlixZghUrVuDUqVOoUqUKIiIikJOTY3abGzZswIQJEzB9+nScO3cOISEhiIiIQHJystXrv3VXbTbIdNIe5HPKkYgslpqebTbIdGJSsiv9lKNMCCFsXQQAyGQybN26FX379gVQuFcWEBCAt99+GxMnTgQApKenw8/PD2vWrMGLL75ocjthYWF4/PHHsXTpUgCAVqtFYGAgxo0bh8mTJ5tcJzc3F7m5ufrHarUagYGBSE1Nhaenp9maey8+hJtp/66nlAvMaqvFtDNy5Gpl+vbAqkrserNzqd4HIqKHDV39C87cSNc/NjfOtK3rhTXDnjC7HbVaDW9vb6Snpxc7rkmV3R4zu379OhITE9G9e3d9m5eXF8LCwnDy5EmTYZaXl4ezZ89iypQp+ja5XI7u3bvj5MmTZp9r7ty5mDlzplH73r174ebmZna9cY1Mt89qqy3Sko2dO3ea3Q4RkTn9/Qp/ijIeZ+4VO85kZzv2npvdhlliYiIAwM/P8Lfo5+enX1ZUamoqCgoKTK5z5coVs881ZcoUTJgwQf9Yt2fWs2dP7pkRkU1Zc8/MkdltmD1KSqUSSqXSqF2hUEChUJhdb83wMHRYcNSoPVcrQ26BzKBfcdshIjLnkwGhaDvX+ASPouPMJwNCix1nHH0MstvrzPz9/QEASUlJBu1JSUn6ZUV5e3vDycmpTOuUR+0anqjqWvz3gaquzqhdw/Hmp4no0fD2ckOwj/nDHQAQ7OMGb6/i+zg6uw2zevXqwd/fH/v379e3qdVqnDp1CuHh4SbXcXFxQWhoqME6Wq0W+/fvN7tOeZ2fHmE20HidGRFZw763u5gNNF5nVsim04yZmZmIiYnRP75+/TrOnz+P6tWro06dOnjzzTfx4YcfomHDhqhXrx6mTZuGgIAA/RmPANCtWzf069cPY8eOBQBMmDABUVFRaNu2Ldq1a4fFixcjKysLw4YNq7DXcX56BG7dVWPoqlMAshFYVYk1w8O4R0ZEVrPv7S5ITc/G+A1nAdxD27pe+GRAaKXfI9MTNnTw4EEBwOgnKipKCCGEVqsV06ZNE35+fkKpVIpu3bqJq1evGmyjbt26Yvr06QZtn376qahTp45wcXER7dq1E7/88kuZ6kpPTxcARHp6epnWy8vLE9u2bRN5eXllWo+IqLQsHWcsHdekwm6uM7MnarUaXl5eZb4eQ6PRYOfOnejTp4/DH2wlItuwdJyxdFyTCrs9ZkZERFRaDDMiIpI8hhkREUkew4yIiCTPojC7efMmbt26pX98+vRpvPnmm/j888+tVhgREVFpWRRmgwYNwsGDhbdXSUxMRI8ePXD69GlMnToVH3zwgVULJCIiKolFYXbp0iW0a9cOALBx40a0aNECJ06cwNq1a7FmzRpr1kdERFQii8JMo9Hob8y7b98+PPvsswCAJk2aICEhwXrVERERlYJFYda8eXOsWLECR48eRXR0NHr16gUAuHPnDmrUqGHVAomIiEpiUZjNnz8fK1euROfOnTFw4ECEhIQAALZv366ffiQiInpULLrRcOfOnZGamgq1Wo1q1arp20eNGlXsX2YmIiKqCBZfZyaEwNmzZ7Fy5UpkZGQAKPwTLAwzIiJ61CzaM7tx4wZ69eqF+Ph45ObmokePHvDw8MD8+fORm5uLFStWWLtOIiIisyzaMxs/fjzatm2L+/fvw9XVVd/er18/gz+MSURE9ChYtGd29OhRnDhxAi4uLgbtQUFBuH37tlUKIyIiKi2L9sy0Wi0KCgqM2m/dugUPD49yF0VERFQWFoVZz549sXjxYv1jmUyGzMxMTJ8+HX369LFWbURERKVi0TTjokWLEBERgWbNmiEnJweDBg3CtWvX4O3tje+//97aNRIRERXLojCrXbs2Lly4gPXr1+PixYvIzMzEiBEjMHjwYIMTQoiIiB4Fi8IMAJydnfHSSy9ZsxYiIiKLlDrMtm/fjt69e0OhUGD79u3F9tXdeLgySU3PxvgNZ9HfDxi6+hd8MiAU3l68gJyIrCcm6R4GrzyF90KADnP3Ye2rYQj2q27rsuyCTAghStNRLpcjMTERvr6+kMvNnzcik8lMnukoJWq1Gl5eXkhPT4enp2eJ/bsvOoiYlGwonQQ+aleAd047IbdAhmAfN+x7u8sjqJiIHF2jqTuQVwCjccbFCfhrdmSJ65d1XJOaUp/NqNVq4evrq/9/cz9SD7Ky0gWZKTEp2ei+6OAjroiIHI0uyEzJKyhcXtlZfG9GKpxaNBdkOjEp2UhNL74PEZE5MUn3zAaZTl5BYb/KzKIwe+ONN7BkyRKj9qVLl+LNN98sb02SMWb9b1btR0RU1PPLT1u1n6OyKMy2bNmCJ5980qi9ffv22Lx5c7mLkoqE9Fyr9iMiKiqzpN2yMvZzVBaF2d27d+Hl5WXU7unpidTU1HIXJRU1vZRW7UdEVJS7i5NV+zkqi8IsODgYu3fvNmrftWsX6tevX+6ipGLZi49ZtR8RUVGbX29n1X6OyqKLpidMmICxY8ciJSUFXbt2BQDs378fixYtMrhno6Pz9nJDsI9bsSeBBPu48XozIrJYsF91uDih2JNAXJxQ6a83s2jPbPjw4Vi0aBG++uordOnSBV26dMF3332H5cuXY+TIkdau0a7te7sLgn1MhxWvMyMia/hrdiTMzSKW9jozR1fqi6bNSUlJgaurK9zd3a1Vk81ZcnHhv3cAuYeNSdV5BxAisrp/7wCShzkXXMp0BxBHv2i63GHmiCz9pWs0GuzcuRN9+vSBQqGowAqJqLKydJxx9DCzaJoxKSkJL7/8MgICAuDs7AwnJyeDHyIiokfJohNAhg4divj4eEybNg01a9aETCazdl1ERESlZlGYHTt2DEePHkXr1q2tXA4REVHZWTTNGBgYCB5qIyIie2FRmC1evBiTJ09GXFyclcshIiIqO4umGQcMGIDs7Gw0aNAAbm5uRmfU3LtXue/eTEREj5ZFYVaZ7vJBRET2z6Iwi4qKsnYdREREFrMozB6Wk5ODvLw8gzZHvCCPiIjsl0UngGRlZWHs2LHw9fVFlSpVUK1aNYMfIiKiR8miMHvnnXdw4MABLF++HEqlEl9++SVmzpyJgIAAfPPNN9aukYiIqFgWTTP+9NNP+Oabb9C5c2cMGzYMHTt2RHBwMOrWrYu1a9di8ODB1q6TiIjILIv2zO7du6f/I5yenp76U/E7dOiAI0eOWK86IiKiUrAozOrXr4/r168DAJo0aYKNGzcCKNxjq1q1qtWKIyIiKg2LwmzYsGG4cOECAGDy5MlYtmwZVCoV3nrrLUyaNMmqBRIREZXEomNmb731lv7/u3fvjitXruDs2bMIDg5Gq1atrFYcERFRaZT7OjMAqFu3LurWrWuNTREREZWZxWG2f/9+7N+/H8nJydBqtQbLVq1aVe7CiIiISsuiMJs5cyY++OADtG3bln+ck4iIbM6iMFuxYgXWrFmDl19+2dr1EBERlZlFZzPm5eWhffv21q6FiIjIIhaF2SuvvIJ169ZZuxZJi0tJQ5cFBwAAXRYcQFxKmm0LIiKHc+l2MkI/2AMACP1gDy7dTrZxRfbDomnGnJwcfP7559i3bx9atWpl9Mc5P/74Y6sUJxXNpu1CtkYLpZMAAKRkadB50XG4KeT4c1ZvG1dHRI6g/uQd0AJQOhU+ztUCT3/6K+QA/p4XacvS7IJFYXbx4kW0bt0aAHDp0iWDZZXtZBBdkJmSrdGi2bRdDDQiKhddkJmi/Wd5ZQ80i8Ls4MGD1q5DkuJS0swGmU62Rou4lDQE+VR9NEURkUO5dDvZbJDpaP/p16KW76MoyS5ZdMyMCvVfedqq/YiIinrus1+t2s9RWbRn1q9fP5PTiTKZDCqVCsHBwRg0aBAaN25c7gLtWXpOvlX7EREVlVtg3X6OyqI9My8vLxw4cADnzp2DTCaDTCbDb7/9hgMHDiA/Px8bNmxASEgIjh8/bu167YqXqnTfBUrbj4ioKN0JH9bq56gsCjN/f38MGjQIf//9N7Zs2YItW7YgNjYWL730Eho0aIDLly8jKioK7777rrXrtSsbX21n1X5EREVtGf24Vfs5KovC7KuvvsKbb74Jufzf1eVyOcaNG4fPP/8cMpkMY8eONTrT0dEE+VSFm6L4t9BNIefJH0RksRa1fEscqOX/9KvMLAqz/Px8XLlyxaj9ypUrKCgonLhVqVSV4jT9P2f1NhtovM6MiKzh73mRZgdrXmdWyKKDOS+//DJGjBiB9957D48/Xrhr++uvv2LOnDkYMmQIAODw4cNo3ry59Sq1Y3/O6o24lDS89MUpAAXwqaLAdyPDuEdGRFbz97xIXLqdjEErCs+OVsoLpxYr+x6ZjkwIIcq6UkFBAebNm4elS5ciKSkJAODn54dx48bh3XffhZOTE+Lj4yGXy1G7dm2rF13R1Go1vLy8kJ6eDk9Pz1Kvp9FosHPnTvTp08forihERNZg6Thj6bgmFRbtmTk5OWHq1KmYOnUq1Go1ABi9OXXq1Cl/dURERKVg8UXT+fn52LdvH77//nv9sbE7d+4gMzPTasURERGVhkV7Zjdu3ECvXr0QHx+P3Nxc9OjRAx4eHpg/fz5yc3OxYsUKa9dJRERklkV7ZuPHj0fbtm1x//59uLq66tv79euH/fv3W604IiKi0rBoz+zo0aM4ceIEXFxcDNqDgoJw+/ZtqxRGRERUWhbtmWm1Wv31ZA+7desWPDw8yl0UERFRWVgUZj179sTixYv1j2UyGTIzMzF9+nT06dPHWrUBKNzb093/8eGfMWPGmOy/Zs0ao74qlcqqNRERkX2xaJpx4cKF6NWrF5o1a4acnBwMGjQI165dg7e3N77//nurFvjrr78a7AVeunQJPXr0wAsvvGB2HU9PT1y9elX/uDLciYSIqDKzKMwCAwNx4cIFbNiwARcuXEBmZiZGjBiBwYMHG5wQYg0+Pj4Gj+fNm4cGDRqgU6dOZteRyWTw9/e3ah1ERGS/yhxmGo0GTZo0wc8//4zBgwdj8ODBFVGXSXl5efjuu+8wYcKEYve2MjMzUbduXWi1WrRp0wZz5swp9tZaubm5yM3N1T/WXQiu0Wig0WhKXZ+ub1nWISIqC0vHGUcfl8ocZgqFAjk5ORVRS4m2bduGtLQ0DB061Gyfxo0bY9WqVWjVqhXS09OxcOFCtG/fHn/88YfZW2vNnTsXM2fONGrfu3cv3NzcylxndHR0mdchIiqLso4z2dnZFVSJfbDo3oxz5szBX3/9hS+//BLOzo/uD09GRETAxcUFP/30U6nX0Wg0aNq0KQYOHIhZs2aZ7GNqzywwMBCpqallvjdjdHQ0evTowXszElGFsHScUavV8Pb25r0ZH/brr79i//792Lt3L1q2bIkqVaoYLP/hhx+sUtzDbty4gX379pV52wqFAo899hhiYmLM9lEqlVAqlSbXtSSULF2PiKi0yjrOOPqYZFGYVa1aFc8995y1aynW6tWr4evri8jIsv3dnoKCAvz+++9Wv2SAiIjsR5nCTKvVYsGCBfjrr7+Ql5eHrl27YsaMGVY/g9HU865evRpRUVFG05pDhgxBrVq1MHfuXADABx98gCeeeALBwcFIS0vDggULcOPGDbzyyisVWiMREdlOmcJs9uzZmDFjBrp37w5XV1csWbIEKSkpWLVqVUXVBwDYt28f4uPjMXz4cKNlur+bpnP//n2MHDkSiYmJqFatGkJDQ3HixAk0a9asQmskIiLbKdMJIA0bNsTEiRPx6quvAigMmcjISDx48MAgUKSOf5yTiOwV/zinaWVKoPj4eINjT927d4dMJsOdO3esXhgREVFplSnM8vPzje5zqFAoHP5iPCIism9lOmYmhMDQoUMNTmPPycnBa6+9ZnB6fkWcmk9ERGROmcIsKirKqO2ll16yWjFERESWsOgOII7OkgOlVxJSMWjFKUxvk4+Z55yx7rUwNKnpXcGVElFlci4+AS+vPIs57Qrw3mknfPtqKNrUqVmqdR39BJBHdy8qBxY8ZQfyBaB0KvxekJUv0OuTU3CWATFzy3aRNxGRKUGTdwAAlE6Fj/MB/PezcwCAuHkcZxznfHob0QWZKfmicDkRUXnogszS5ZUBw6wcriSkmg0ynXxR2I+IyBLn4hOs2s9RMczK4bnPTlu1HxFRUf3/mUq0Vj9HxTArhwea0p07U9p+RERF5Vu5n6NimJWDq8L8X7u2pB8RUVGlPUuvsp/NxzArhy2j21m1HxFRURtHt7FqP0fFMCuHJjW94VzCTpezDLzejIgsVtrryErbz1ExzMopZm6k2UDjdWZEZA0lXUfG68w4zWoVMXMj9XcAAYAqzjL8OJZ3ACEi64mbF6m/AwhQOHh/P7pNpd8j0+HtrEzg3zMjInvFv2dmGqcZiYhI8hhmREQkeQwzIiKSPIYZERFJHsOMiIgkj2FGRESSxzAjIiLJY5gREZHkMcyIiEjyGGZERCR5DDMiIpI8hhkREUkew4yIiCSPYUZERJLHMCMiIsljmBERkeQxzIiISPIYZkREJHkMMyIikjyGGRERSR7DjIiIJI9hZiX7rv6NFjP2AABazNiDfVf/tnFFRORo4lLS0GXBAQBAlwUHEJeSZtuC7IizrQtwBEGTdwAAlE7/tr2y+jKAy4ibF2mboojIoTSbtgvZGi2UTgIAkJKlQedFx+GmkOPPWb1tXJ3tcc+snHRBZulyIqKS6ILMlGyNFs2m7XrEFdkfhlk5lHYqkVOORGSpuJQ0s0Gmk63RVvopR4ZZORROJVqvHxFRUf1XnrZqP0fFMCMismPpOflW7eeoGGZERHbMS1W68/RK289RMczK4cthTa3aj4ioqI2vtrNqP0fFMCuH7o3rW7UfEVFRQT5V4aYofqh2U8gR5FP10RRkpxhm5VTSdWS8zoyIyuvPWb3NBhqvMytUuSdZrSRuXiT2Xf0bY775U9/25bCm3CMjIqv5c1ZvxKWk4aUvTgEogE8VBb4bGVbp98h0ZEIIYesi7I1arYaXlxfS09Ph6elZ6vU0Gg127tyJPn36QKFQVGCFRFRZWTrOWDquSQWnGYmISPIYZkREJHkMMyIikjyGGRERSR7DjIiIJI9hRkREkscwIyIiyWOYERGR5DHMiIhI8hhmREQkeQwzIiKSPIYZERFJHsOMiIgkj2FGRESSxzAjIiLJY5gREZHkMcyIiEjyGGZERCR5DDMiIpI8hhkREUkew4yIiCSPYWYluy/HoMWMPQCAFjP2YPflGBtXRESO5s87KXh8VuE48/isPfjzToqNK7Ifdh1mM2bMgEwmM/hp0qRJsets2rQJTZo0gUqlQsuWLbFz584KrzNo8g689vVVg7bXvr6KoMk7Kvy5iahyaDB5B/osOY0HBYWPHxQAfZacRgOOMwDsPMwAoHnz5khISND/HDt2zGzfEydOYODAgRgxYgR+++039O3bF3379sWlS5cqrL6SAouBRkTl1WDyDhSYWVbwz/LKzu7DzNnZGf7+/vofb29vs30/+eQT9OrVC5MmTULTpk0xa9YstGnTBkuXLq2Q2ko7lcgpRyKy1J93UswGmU7BP/0qM2dbF1CSa9euISAgACqVCuHh4Zg7dy7q1Kljsu/JkycxYcIEg7aIiAhs27at2OfIzc1Fbm6u/rFarQYAaDQaaDQas+uN/+4KlE7/PlbKhcF/H+53aUbdYmsgIjJl0IpTpRpnBq04hV+nRZjdTnFjmSOw6zALCwvDmjVr0LhxYyQkJGDmzJno2LEjLl26BA8PD6P+iYmJ8PPzM2jz8/NDYmJisc8zd+5czJw506h97969cHNzM7veR+1Mt89qqzVqexTH7ojI8cwMNd1e1nEmOzvbWiXZJbsOs969e+v/v1WrVggLC0PdunWxceNGjBgxwmrPM2XKFIM9OrVajcDAQPTs2ROenp5m19OdvaijlAvMaqvFtDNy5GplBssuzTD/jYmIyJzHZ+3Rn/QBmB9nXJ1Q7J6ZbsbJUdl1mBVVtWpVNGrUCDExpo9B+fv7IykpyaAtKSkJ/v7+xW5XqVRCqVQatSsUCigUCrPrffJSE6OzGAEgVytDbsG/H7IVUY2L3Q4RkTnrXgtDnyWnjdqLjjNbx7Qrdpxx9DHI7k8AeVhmZiZiY2NRs2ZNk8vDw8Oxf/9+g7bo6GiEh4dXSD29mgZbtR8RUVHNAnzgVEIfp3/6VWZ2HWYTJ07E4cOHERcXhxMnTqBfv35wcnLCwIEDAQBDhgzBlClT9P3Hjx+P3bt3Y9GiRbhy5QpmzJiBM2fOYOzYsRVWY9y8yHItJyIqSey8SLOB5vTP8srOrqcZb926hYEDB+Lu3bvw8fFBhw4d8Msvv8DHp/AbSHx8POTyf/O4ffv2WLduHf73v//hvffeQ8OGDbFt2za0aNGiQuuMmxeJ3ZdjMP67K/q2FVGNuUdGRFYTOy8Sf95JwaAVpwAUHiPbOqZdpd8j05EJIUTJ3SoXtVoNLy8vpKenF3sCSFEajQY7d+5Enz59HH5+mohsw9JxxtJxTSrsepqRiIioNBhmREQkeQwzIiKSPIYZERFJHsOMiIgkj2FGRESSxzAjIiLJY5gREZHkMcyIiEjyGGZERCR5DDMiIpI8hhkREUkew4yIiCSPYUZERJLHMCMiIsljmBERkeQxzIiISPIYZkREJHkMMyIikjyGGRERSR7DjIiIJI9hZiXrzv2OFjP2AABazNiDded+t3FFRORoLt5KQpsPCseZNh/swcVbSTauyH4427oARxA0eQcAQOn0b9t7G+Px3sZ4xM2LtFFVRORI6k3eAYF/x5k8LfDs0jOQAbjOcYZ7ZuWlCzJLlxMRlUQXZKaIf5ZXdgyzcijtVCKnHInIUhdvJZkNMh3xT7/KjGFWDu9tjLdqPyKiop7/7IxV+zkqhhkRkR3L01q3n6NimBER2TGXUo7Spe3nqCr5yy+fOf3rWLUfEVFRm0e3tWo/R8UwK4dBbVpatR8RUVGtavtBVkIf2T/9KjOGWTmVdB0ZrzMjovK6Pi/SbKDxOrNCDDMriJsXaTSVOKd/HQYZEVnN9XmR2D62rf7YmIsc2D62LYPsHzIhREmXMFQ6arUaXl5eSE9Ph6enZ6nX02g02LlzJ/r06QOFQlGBFRJRZWXpOGPpuCYV3DMjIiLJY5gREZHkMcyIiEjyGGZERCR5DDMiIpI8hhkREUkew4yIiCSPYUZERJLHMCMiIsljmBERkeQxzIiISPIYZkREJHkMMyIikjyGGRERSR7DjIiIJI9hRkREkscwIyIiyWOYERGR5DHMiIhI8hhmREQkeQwzIiKSPIaZlaz59TxazNgDAGgxYw/W/HretgURkcM5HXcbrf4ZZ1rN2IPTcbdtXJH9cLZ1AY4gaPIOAIDS6d+2GVtuY8aW24ibF2mjqojIkRQdZ7QA+q84D+A8xxlwz6zcdB8wS5cTEZWE40zJGGblUNqpRE45EpGlSjuVWNmnHBlm5TBjS+k+PKXtR0RU1Isrzlu1n6NimBER2TGtlfs5KoYZEZEdK+0gXdkH88r++stlxnO1rNqPiKio9a+1tmo/R8UwK4ehj7e2aj8ioqLaBZXuy3Bp+zkqhlk5lXR9B6//IKLy4jhTMoaZFcTNizSaSpzxXC1+wIjIauLmRWLja631g7YcwMbXWnOc+YdMCCFsXYS9UavV8PLyQnp6Ojw9PUu9nkajwc6dO9GnTx8oFIoKrJCIKitLxxlLxzWp4J4ZERFJHsOMiIgkj2FGRESSxzAjIiLJY5gREZHkMcyIiEjy7DrM5s6di8cffxweHh7w9fVF3759cfXq1WLXWbNmDWQymcGPSqV6RBUTEZEt2HWYHT58GGPGjMEvv/yC6OhoaDQa9OzZE1lZWcWu5+npiYSEBP3PjRs3HlHFRERkC862LqA4u3fvNni8Zs0a+Pr64uzZs3jqqafMrieTyeDv71/q58nNzUVubq7+sVqtBlB4caJGoyn1dnR9y7IOEVFZWDrOOPq4ZNdhVlR6ejoAoHr16sX2y8zMRN26daHVatGmTRvMmTMHzZs3N9t/7ty5mDlzplH73r174ebmVuY6o6Ojy7wOEVFZlHWcyc7OrqBK7INkbmel1Wrx7LPPIi0tDceOHTPb7+TJk7h27RpatWqF9PR0LFy4EEeOHMEff/yB2rVrm1zH1J5ZYGAgUlNTy3w7q+joaPTo0YO3syKiCmHpOKNWq+Ht7e2wt7OSzJ7ZmDFjcOnSpWKDDADCw8MRHh6uf9y+fXs0bdoUK1euxKxZs0yuo1QqoVQqjdoVCoVFoWTpekREpVXWccbRxyRJhNnYsWPx888/48iRI2b3rsxRKBR47LHHEBMTU0HVERGRrdn12YxCCIwdOxZbt27FgQMHUK9evTJvo6CgAL///jtq1qxZARUSEZE9sOs9szFjxmDdunX48ccf4eHhgcTERACAl5cXXF1dAQBDhgxBrVq1MHfuXADABx98gCeeeALBwcFIS0vDggULcOPGDbzyyis2ex1ERFSx7DrMli9fDgDo3LmzQfvq1asxdOhQAEB8fDzk8n93MO/fv4+RI0ciMTER1apVQ2hoKE6cOIFmzZo9qrKJiOgRs+swK82JlocOHTJ4/H//93/4v//7vwqqiIiI7JFdHzMjIiIqDYYZERFJHsOMiIgkj2FGRESSxzCzkqnf70CLGXsAAC1m7MHU73fYuCIicjR/Jd5F+OzCezKGz47GX4l3bVyR/bDrsxmlImhyYXApnf5tW3sBWHthB+LmRdqoKiJyJA3f2wGNFlA6FZ7lnaHRoufiX6CQA9fmcJzhnlk56YLM0uVERCXRBZkpGm3h8sqOYVYOpZ1K5JQjEVnqr8S7ZoNMR6NFpZ9yZJiVw9oL1u1HRFTUc5+dtmo/R8UwIyKyY9kl7ZaVsZ+jYpgREdkxN0XphunS9nNUlfvVl9PgEOv2IyIqasvodlbt56gYZuUwe2DpToctbT8ioqIa+ddASTtdCnlhv8qMYVZOJV1HxuvMiKi8rs2JNBtovM6sEMPMCuLmRRpNJQ4OYZARkfVcmxOJvW8+AY9/Us1DIcfeN59gkP1DJkrzR8MqGbVaDS8vL6Snp8PT07PU62k0GuzcuRN9+vSBQqGowAqJqLKydJyxdFyTCu6ZERGR5DHMiIhI8hhmREQkeQwzIiKSPIYZERFJHsOMiIgkj2FGRESSxzAjIiLJY5gREZHkMcyIiEjyGGZERCR5DDMiIpI8hhkREUkew4yIiCSPYUZERJLHMCMiIsljmBERkeQxzIiISPIYZkREJHkMMyIikjyGGRERSR7DzEpGfrIDLWbsAQC0mLEHIz/ZYeOKiMjRnPj7psE4c+LvmzauyH4427oARxA0uTC4lE7/tkUnFLbHzYu0UVVE5EhMjTODPr8I4CLHGXDPrNx0HzBLlxMRlYTjTMkYZuVQ2qlETjkSkaVKO5VY2accGWblEJ1g3X5EREUVTiVar5+jYpgREZHkMcyIiEjyGGbl0KOmdfsRERW1blQrq/ZzVAyzcvhifOlOhy1tPyKiotrXD7RqP0fFMCunkq7v4PUfRFReHGdKxjCzgrh5kUZTiT1q8gNGRNYTNy/SaCpx3ahWHGf+IRNCCFsXYW/UajW8vLyQnp4OT0/PUq+n0Wiwc+dO9OnTBwqFogIrJKLKytJxxtJxTSq4Z0ZERJLHMCMiIsljmBERkeQxzIiISPIYZkREJHkMMyIikjyGGRERSR7DjIiIJI9hRkREkscwIyIiyWOYERGR5DHMiIhI8hhmREQkeQwzIiKSPIYZERFJHsOMiIgkj2FGRESSxzAjIiLJY5gREZHkMcyIiEjyGGZERCR5DDMrmbN9F1rM2AMAaDFjD+Zs32XjiojI0fz8x18G48zPf/xl44rshyTCbNmyZQgKCoJKpUJYWBhOnz5dbP9NmzahSZMmUKlUaNmyJXbu3Fmh9QVN3oHPT2gN2j4/oUXQ5B0V+rxEVHkETd6Bsd9eM2gb++01jjP/sPsw27BhAyZMmIDp06fj3LlzCAkJQUREBJKTk032P3HiBAYOHIgRI0bgt99+Q9++fdG3b19cunSpQuor6YPEDxoRlRfHmZLZfZh9/PHHGDlyJIYNG4ZmzZphxYoVcHNzw6pVq0z2/+STT9CrVy9MmjQJTZs2xaxZs9CmTRssXbrU6rWVdiqRU45EZKnSTiVW9ilHZ1sXUJy8vDycPXsWU6ZM0bfJ5XJ0794dJ0+eNLnOyZMnMWHCBIO2iIgIbNu2zezz5ObmIjc3V/9YrVYDADQaDTQajdn1vj5VAKXTv4+VcmHw34f7TeptfjtEROa8ve6vUo0zb6/7CxEz6pndTnFjmSOw6zBLTU1FQUEB/Pz8DNr9/Pxw5coVk+skJiaa7J+YmGj2eebOnYuZM2cate/duxdubm5m1/uonen2WW21Rm0VfdyOiByTtcaZ7Oxsa5Vkl+w6zB6VKVOmGOzNqdVqBAYGomfPnvD09DS7nu6sIh2lXGBWWy2mnZEjVyszWHZpRoR1iyaiSsFa44xuxslR2XWYeXt7w8nJCUlJSQbtSUlJ8Pf3N7mOv79/mfoDgFKphFKpNGpXKBRQKBRm14sKczI6ixEAcrUy5Bb8+yEb1V5e7HaIiMxZNKiR0VmMgPE4s/TlhsWOM44+Btn1CSAuLi4IDQ3F/v379W1arRb79+9HeHi4yXXCw8MN+gNAdHS02f7l8d6zva3aj4ioqKebN7JqP0dl12EGABMmTMAXX3yBr7/+GpcvX8brr7+OrKwsDBs2DAAwZMgQgxNExo8fj927d2PRokW4cuUKZsyYgTNnzmDs2LEVUl/cvMhyLSciKgnHmZLZfZgNGDAACxcuxPvvv4/WrVvj/Pnz2L17t/4kj/j4eCQkJOj7t2/fHuvWrcPnn3+OkJAQbN68Gdu2bUOLFi0qrMa4eZEY1d7wrRzVXs4PGBFZTdy8SCx9uaFB29KXG3Kc+YdMCCFK7la5qNVqeHl5IT09vdgTQIrSaDTYuXMn+vTp4/Dz00RkG5aOM5aOa1Jh93tmREREJWGYERGR5DHMiIhI8hhmREQkeQwzIiKSPIYZERFJHsOMiIgkj2FGRESSxzAjIiLJY5gREZHkMcyIiEjyGGZERCR5DDMiIpI8hhkREUkew4yIiCSPYUZERJLHMCMiIsljmBERkeQxzIiISPIYZkREJHnOti7AHgkhAABqtbpM62k0GmRnZ0OtVkOhUFREaURUyVk6zujGM9345mgYZiZkZGQAAAIDA21cCRGRdWVkZMDLy8vWZVidTDhqTJeDVqvFnTt34OHhAZlMVur11Go1AgMDcfPmTXh6elZghURUWVk6zgghkJGRgYCAAMjljneEiXtmJsjlctSuXdvi9T09PRlmRFShLBlnHHGPTMfx4pmIiCodhhkREUkew8yKlEolpk+fDqVSaetSiMhBcZwxjSeAEBGR5HHPjIiIJI9hRkREkscwIyIiyWOYERGR5DHMrGjZsmUICgqCSqVCWFgYTp8+beuSiMhBHDlyBM888wwCAgIgk8mwbds2W5dkVxhmVrJhwwZMmDAB06dPx7lz5xASEoKIiAgkJyfbujQicgBZWVkICQnBsmXLbF2KXeKp+VYSFhaGxx9/HEuXLgVQeH/HwMBAjBs3DpMnT7ZxdUTkSGQyGbZu3Yq+ffvauhS7wT0zK8jLy8PZs2fRvXt3fZtcLkf37t1x8uRJG1ZGRFQ5MMysIDU1FQUFBfDz8zNo9/PzQ2Jioo2qIiKqPBhmREQkeQwzK/D29oaTkxOSkpIM2pOSkuDv72+jqoiIKg+GmRW4uLggNDQU+/fv17dptVrs378f4eHhNqyMiKhy4B/ntJIJEyYgKioKbdu2Rbt27bB48WJkZWVh2LBhti6NiBxAZmYmYmJi9I+vX7+O8+fPo3r16qhTp44NK7MPPDXfipYuXYoFCxYgMTERrVu3xpIlSxAWFmbrsojIARw6dAhdunQxao+KisKaNWsefUF2hmFGRESSx2NmREQkeQwzIiKSPIYZERFJHsOMiIgkj2FGRESSxzAjIiLJY5gREZHkMcyIiEjyGGZExfjqq6/Qs2dPW5dBVjB58mSMGzfO1mVQBWGYkYGbN29i+PDhCAgIgIuLC+rWrYvx48fj7t27ZdpOXFwcZDIZzp8/XzGFPgI5OTmYNm0apk+fbtC+adMmNGnSBCqVCi1btsTOnTttVOGjN3v2bLRv3x5ubm6oWrWqrcspk4kTJ+Lrr7/G33//betSqAIwzEjv77//Rtu2bXHt2jV8//33iImJwYoVK/R3/793756tS3ykNm/eDE9PTzz55JP6thMnTmDgwIEYMWIEfvvtN/Tt2xd9+/bFpUuXbFjpo5OXl4cXXngBr7/+uq1LKTNvb29ERERg+fLlti6FKoIg+kevXr1E7dq1RXZ2tkF7QkKCcHNzE6+99pq+DYDYunWrQT8vLy+xevVq/fKHfzp16qTv99VXX4lmzZoJFxcX4e/vL8aMGaNfduPGDfHss8+KKlWqCA8PD/HCCy+IxMRE/fLp06eLkJAQ8dVXX4nAwEBRpUoV8frrr4v8/Hwxf/584efnJ3x8fMSHH35oUNv9+/fFiBEjhLe3t/Dw8BBdunQR58+fL/b9iIyMFBMnTjRo69+/v4iMjDRoCwsLE6+++mqx2yoP3Wt+2MGDBwUAcf/+fX3b0aNHRYcOHYRKpRK1a9cW48aNE5mZmUIIITp16mT0O9H9TJ8+vcw1rV69Wnh5eVn+oix4vqJ1P/ye5Ofni+HDh4ugoCChUqlEo0aNxOLFi4228/XXX4vatWs/srrp0eGeGQEA7t27hz179mD06NFwdXU1WObv74/Bgwdjw4YNEKW8L/Xp06cBAPv27UNCQgJ++OEHAMDy5csxZswYjBo1Cr///ju2b9+O4OBgAIV/A+4///kP7t27h8OHDyM6Ohp///03BgwYYLDt2NhY7Nq1C7t378b333+Pr776CpGRkbh16xYOHz6M+fPn43//+x9OnTqlX+eFF15AcnIydu3ahbNnz6JNmzbo1q1bsXubx44dQ9u2bQ3aTp48ie7duxu0RURE4OTJk2a3c/ToUbi7uxf7s3bt2lK8q+bFxsaiV69eeO6553Dx4kVs2LABx44dw9ixYwEAP/zwAxISEpCQkIDw8HC8/fbb+scTJ04s13OX5LXXXivx9ZeGp6envua3337bYJlWq0Xt2rWxadMm/Pnnn3j//ffx3nvvYePGjQb92rVrh1u3biEuLs5aL4/sBP+eGQEArl27BiEEmjZtanJ506ZNcf/+faSkpMDX17fE7fn4+AAAatSoYfDXtj/88EO8/fbbGD9+vL7t8ccfBwDs378fv//+O65fv47AwEAAwDfffIPmzZvj119/1ffTarVYtWoVPDw80KxZM3Tp0gVXr17Fzp07IZfL0bhxY8yfPx8HDx5EWFgYjh07htOnTyM5ORlKpRIAsHDhQmzbtg2bN2/GqFGjjOpPS0tDeno6AgICDNoTExPh5+dn0Obn54fExESz70Xbtm1LPHZYdJtlNXfuXAwePBhvvvkmAKBhw4ZYsmQJOnXqhOXLl6N69er6vi4uLnB3d39kfwX9gw8+KHdg5ubmwsXFRV9z0QBUKBSYOXOm/nG9evVw8uRJbNy4Ef3799e3636fN27cQFBQULlqIvvCMCMDpd3zskRycjLu3LmDbt26mVx++fJlBAYG6oMMAJo1a4aqVavi8uXL+jALCgqCh4eHvo+fnx+cnJwgl8sN2pKTkwEAFy5cQGZmJmrUqGHwfA8ePEBsbKzJWh48eAAAUKlUFrxSQ66urvq9T0v9/vvvBgN4QUGBwfILFy7g4sWLBnt4QghotVpcv37d7JeUR8HX17dUX4CKc/fuXXh6ehbbZ9myZVi1ahXi4+Px4MED5OXloXXr1gZ9dLMO2dnZ5aqH7A/DjAAAwcHBkMlkuHz5Mvr162e0/PLly6hWrZp+j0smkxkFn0ajKfY5ik5fWkqhUBg8lslkJtu0Wi2Awr/QW7NmTRw6dMhoW+bOyKtRowZkMhnu379v0O7v74+kpCSDtqSkpGL3co4ePYrevXubXQ4AK1euxODBg80ub9y4MbZv365/fOrUKbz00kv6x5mZmXj11VfxxhtvGK1r679C/Nprr+G7774rtk9mZmaxy//++2/Uq1fP7PL169dj4sSJWLRoEcLDw+Hh4YEFCxYYTDUD0E8r6z7H5DgYZgSgcPDu0aMHPvvsM7z11lsGwZOYmIi1a9diyJAhkMlkAAoHg4SEBH2fa9euGXzbdXFxAWC4B+Hh4YGgoCDs37/f5F/Mbdq0KW7evImbN2/q987+/PNPpKWloVmzZha/tjZt2iAxMRHOzs6lnlpycXFBs2bN8OeffxpcZxYeHo79+/frp/MAIDo6GuHh4Wa3ZY1pRhcXF4O9u1u3bhksb9OmDf78889y7wFWBGtMMx45cqTYsD9+/Djat2+P0aNH69tM7XVfunQJCoUCzZs3L1c9ZH8YZqS3dOlStG/fHhEREfjwww9Rr149/PHHH5g0aRJq1aqF2bNn6/t27doVS5cuRXh4OAoKCvDuu+8a7B35+vrC1dUVu3fvRu3ataFSqeDl5YUZM2bgtddeg6+vL3r37o2MjAwcP34c48aNQ/fu3dGyZUsMHjwYixcvRn5+PkaPHo1OnToZnYhRFt27d0d4eDj69u2Ljz76CI0aNcKdO3ewY8cO9OvXz+y2IyIicOzYMYPgGj9+PDp16oRFixYhMjIS69evx5kzZ/D555+bfX5rTDOW5N1338UTTzyBsWPH4pVXXkGVKlXw559/Ijo6GkuXLrXa88THx+PevXuIj49HQUGBPqSDg4PNnshRnmnGBw8e4Msvv0RsbCx69+6tPzaZmZmJ/Px83Lt3D9WrV0fDhg3xzTffYM+ePahXrx6+/fZb/Prrr0Z7c0ePHkXHjh2tNktAdsSm51KS3YmLixNRUVHCz89PKBQKERgYKMaNGydSU1MN+t2+fVv07NlTVKlSRTRs2FDs3LnT4NR8IYT44osvRGBgoJDL5Qan5q9YsUI0btxYKBQKUbNmTTFu3Dj9stKemv+wqKgo8Z///MegrVOnTmL8+PH6x2q1WowbN04EBAToX9fgwYNFfHy82ffijz/+EK6uriItLc2gfePGjaJRo0bCxcVFNG/eXOzYscPsNqyhtKfmnz59WvTo0UO4u7uLKlWqiFatWonZs2cbba9Tp04mT8efPn26qFu3brG1REVFmTy9/+DBg2V/YaVg6pR8mLjkIycnRwwdOlR4eXmJqlWritdff11MnjzZ6H1r3Lix+P777yukVrItmRAVeMSfSOJeeOEFtGnTBlOmTLF1KRUuKioKMpkMa9assXUpemvWrMGhQ4dM1nT+/Hm8+eabJo+FmrJr1y68/fbbuHjxIpydOSnlaHidGVExFixYUOrroKRMCIFDhw5h1qxZti7FgKurK7y8vEwuUygUBpcclCQrKwurV69mkDko7pkREZHkcc+MiIgkj2FGRESSxzAjIiLJY5gREZHkMcyIiEjyGGZERCR5DDMiIpI8hhkREUkew4yIiCTv/wEMFgtMmIBq9wAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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6e9+dfYaDBw/GRx99BIfDAbPZjD/+8Y+YOXMmiouLMWrUKJx11lm4+uqr0bdvXwDA9u3bAQAzZ86M+HqNjY0RK7Bdu3ZhwIAB7X7Obd2abWU9HG0/g+bm5naJuI2axBStHTt2oKioKCSxh9u1a1fwd+lQBQUFyMjIaPf+w79ApaenAwCKi4s7PF5fXw8g0C0nhMCDDz6IBx98sMOyVFdXh4xUExFG47VVuG2vocbOnTvx17/+Fc8++2yHyWr37t146KGH8O677wbL3KatPmurrwYNGtTu+W2/L+Xl5cjPz8f27duxadOmkHrvUNXV1arLfqi2zySaL64pkXTCXXLJJXjggQewdu1ajBs3Dg0NDRg/fjxsNhsWLFiAfv36wWg0YsOGDbjnnnvafbM8/vjj8ac//QlAoAXw1FNPYcKECdiwYQMKCgpCYrds2YKlS5filVdegU6nO+yyL1++HB9//DFKS0u7jL3uuutw9dVXY86cOVi9ejX+/ve/Y82aNYddhu5SUlISvC9VW1uLp556Cr/61a/Qt29fnHLKKR0+p+0/yObNm0OOa7Xa4L2DvXv3dvnakX7J/X6/6vLH4rLLLsPpp5+Od955J5gcH3vsMbz99tuYPn168Hft8ccfxwknnNDhNRI9z2Pw4MFYtmwZNm3aFOzzD7dp0yYAgZYEEP/PW20lFmlId6TjbZVk28/prrvuwrRp0zqMbUt82dnZAAIJq2fPnu3iysvLASB430+NBx54AAMGDMDMmTPb/Z/2+/2YMmUK6urqcM8992DQoEEwm83Yt28frrnmmmDZD20NdUVRFEyZMgW//e1vOzx/3HHHqb7WodoSYqReoo6kZNJxOp0ADv5iffrpp6itrcXbb78d8p9o586dHT4/MzMz5ObohAkTUFRUhCVLluC+++4Lib3vvvtwwgkn4PLLL+/wWv369cPatWvh9Xq7TEpCCNx777248MILI1bKh5o+fTqMRiOuuOIKnHbaaejXr1+7X9DevXsDALZt24Yzzjgj5Ny2bduC59u+iYdX9ofDbDaHfI6nn346evTogeXLl0d8fwMHDgy2LBctWgSz2RzTa7e1FBoaGkKOh38TbrvxuXnz5og3xA/9DMNt3boVOTk5IeUsLCzErbfeiltvvRXV1dUYOXIk/vCHP2D69OnB17PZbFHdgD+0LJs2bYKiKCGtnbYu4rayHo5zzjkHCxcuxMsvv9xh0vH7/XjttdeQmZkZ7ElQ+3kDkRNGv3798NFHH6Guri5ia6d3795QFAXbt28PGbRSVVWFhoaGbnn/wMH/DzqdrsufU9sXpZ07d2L48OHtzq9btw4FBQUdJqSOfPvtt3j99dexbNmyDpPj999/j59++gkvvfRSyGCP8IEJOTk5sFgsEX9vgYOJsF+/frDb7TH9TnZm586dyMnJidiC6khS39M5tC/9UH/7298gSVKwkm37wR3a/PV4PPjLX/6i6nXakpjb7Q45Xlpaiv/85z949NFHI/5Huvjii1FTU4Nnnnmm3bnw5vjrr7+OTZs2qZ7Fq9VqcfXVV2PTpk247rrrOowZPXo08vLy8Nxzz4WU/4MPPsCWLVtw9tlnAwh01/3iF7/Aiy++2G6UXqRug2i1fQPrakLhww8/jJqaGtxwww3wer3tzqspT1vlfmhftN/vx/PPPx8SN3LkSPTp0weLFi1qV2G2vU5hYSFOOOEEvPTSSyExmzdvxvLly3HWWWcFrx/eVZuXl4eioqLgZz9q1Cj069cPTzzxRIfLpXS1bMhZZ52FyspKvPHGG8FjPp8PTz/9NCwWC8aPH9/p89U49dRTMXnyZCxZsgTvvfdeu/MPPPAAfvrpJ/z2t78Nfpvu3bs3NBpNu77/jv6PtSXo8M/74osvhhAC8+fPb/ectp9F22e9aNGikPNPPvkkAAR/nw9XXl4eJkyYgL/+9a+oqKhod/7Qn9OoUaOg1+uD91cPVVtbi1WrVuG8885T/dr33nsvxo0bF/E5HdVnQgj83//9X0icLMs488wz8Z///CfkC3ZdXR1eeukljB49Gvn5+QACLfTS0lJ89NFH7V6vbXRwLNavXx9y+0ONpG7pzJgxA4MGDcKFF16I/Px8HDhwAB988AFWrVqFBx54IPit49RTT0VmZiZmzpyJ2267DZIk4R//+EfEyquqqiq4LlFNTQ3++te/QqvV4pxzzgmJW758OaZMmdLpt4Orr74aL7/8MubOnYuvv/4ap59+OhwOBz7++GPceuutOP/880Oud8MNN3R47yCSRx55BHfffXfEewA6nQ6PPfYYrr32WowfPx5XXnllcMh0SUlJyJDrp556CqeddhpGjhyJG2+8EX369EF5eTn+97//xXTT3m6348MPPwQQ+EV/6qmnoNPpuqwYZsyYgc2bN2PhwoX4+uuvccUVV6BPnz5wOBzYvHkz/vnPf8JqtUZ8zwAwdOhQnHLKKbjvvvuC35xff/31dv95ZFnGs88+i3PPPRcnnHACrr32WhQWFmLr1q344Ycfgv8JH3/8cUyfPh1jx47F9ddfHxwynZ6eHlzSpbm5GT179sQll1yCESNGwGKx4OOPP8Y333wT7K6VZRl///vfMX36dAwdOhTXXnstevTogX379mHVqlWw2WzBIcsdufHGG/HXv/41eCO4pKQE//rXv/DFF19g0aJF3XaP5eWXX8akSZNw/vnnY8aMGTj99NPhdrvx9ttv49NPP8Xll1+Ou+++Oxifnp6OSy+9FE8//TQkSUK/fv3w3nvvdXgvYNSoUQACQ4inTZsGjUaDK664AhMnTsSvfvUrPPXUU9i+fTvOPPNMKIqCNWvWYOLEiZg9ezZGjBiBmTNn4vnnnw92m3/99dd46aWXcMEFF2DixInd8v4BYPHixTjttNMwfPhw3HDDDejbty+qqqpQWlqKvXv34rvvvgMQGCAwdepUfPzxx1iwYEHw+aWlpbj33nvhdDqRm5sbstbZTz/9BAB45ZVXcOGFF4a0lJcvX44vvvgiYrkGDRqEfv364a677sK+fftgs9nw73//u929HQBYsGABPvzwQ5x22mm49dZbYTAY8Le//Q2NjY3B30kAuPvuu/Huu+/inHPOwTXXXINRo0bB4XDg+++/x7/+9S+Ul5dH1UUGBO4Dbdq0CbNmzYrqeUk9ZPrZZ58VZ511ligqKhJarVZkZGSIadOmiffff79d7BdffCFOOeUUYTKZRFFRkfjtb38bHD556FDE8MmhGRkZYty4ce2uCUBIktRu0l9HQ65bWlrEAw88IPr06SN0Op0oKCgQl1xyidixY4cQ4uDQRpPJJPbt2xfy3PBhyW1DgcMnf3Z1/o033hAnnniiMBgMIisrK+Lk0M2bN4sLL7xQZGRkCKPRKAYOHCgefPDBDl+rqyHTHX2OH3zwQYfxHfn000/FJZdcIgoLC4VOpxM2m02MHj1azJs3T1RUVLR7vfDPfceOHWLy5MnCYDCI/Px8cf/994sVK1Z0OLT3888/F1OmTBFWq1WYzWZx/PHHi6effjok5uOPPxbjxo0TJpNJ2Gw2ce6554ZMDnW73eLuu+8WI0aMCF5nxIgR4i9/+Uu79/btt9+Kiy66SGRnZwuDwSB69+4tLrvsMrFy5couP5eqqipx7bXXipycHKHX68Xw4cPbTSw+VLRDpts0NzeLhx9+WAwdOlSYTCZhtVrFuHHjxNKlSzscRn/gwAFx8cUXi7S0NJGZmSluuukmsXnz5nZDpn0+n5gzZ47Izc0VkiSFlM3n84nHH39cDBo0KDi5dvr06SH/z7xer5g/f37w/1NxcXGnk0PDAWg3rL3t/+Djjz8ecnzHjh3i6quvFgUFBUKn04kePXqIc845J2T4sxCBIeSSJIUMLY40ETb8T9uw/raf0/nnnx9y7Y6Go//4449i8uTJwmKxiJycHHHDDTeI7777rt1nLYQQGzZsENOmTRNms1mkpaWJCRMmiDVr1rT7XJqbm8V9990n+vfvL/R6vcjJyRGnnnqqeOKJJzpc/aWr36tnn31WpKWldTiMvzNJvfYaEVEy8Pv9GDJkCC677DI88sgjAIBrrrkGQGBydiSSJGHnzp1RDTJIFSeeeCImTJiAP//5z1E9L6nv6RARJQONRoMFCxZg8eLFSbe1QSJ8+OGH2L59e7uBV2ok9T0dIqJkcfnll4eMYj311FO7fM5VV12V8CHyR8KZZ54Zc/Jl9xoREcUNu9eIiChumHSIiChueE8HgUmN+/fvh9VqjXnxSyKiZCKEQHNzM4qKiiIuLJwITDoA9u/f326BQCKio8GePXtUL9ETD0w6OLiS7p49e2Cz2VQ/z+v1Yvny5Zg6dWq3LAZKRBQu1nqmqakJxcXF3bpSeHdg0sHBBQptNlvUSSctLQ02m41Jh4iOiMOtZ5LtlkHydPQREdFRj0mHiIjihkmHiIjihkmHiIjihkmHiIjihkmHiIjihkmHiIjihkmHiIjihkmHiIjihkmHiIjihkmHiIjihkmHiIjihkmHiIjihkmHiIjihkmHiIjihkmHiIjihkmHiIjihkmHiIjiJqFJZ+HChTjppJNgtVqRl5eHCy64ANu2bQuJcblcmDVrFrKzs2GxWHDxxRejqqoqJGb37t04++yzkZaWhry8PNx9993w+XzxfCtERKRCQpPOZ599hlmzZuGrr77CihUr4PV6MXXqVDgcjmDMHXfcgf/+979466238Nlnn2H//v246KKLguf9fj/OPvtseDwefPnll3jppZewdOlSPPTQQ4l4S0RE1BmRRKqrqwUA8dlnnwkhhGhoaBA6nU689dZbwZgtW7YIAKK0tFQIIcT7778vZFkWlZWVwZhnn31W2Gw24Xa7Vb1uY2OjACAaGxujKq/H4xHLli0THo8nqucREanh9ytiZ1WjWLZsmdhZ1Sj8fkX1c2Ot1440bWJTXqjGxkYAQFZWFgBg/fr18Hq9mDx5cjBm0KBB6NWrF0pLS3HKKaegtLQUw4cPR35+fjBm2rRpuOWWW/DDDz/gxBNPbPc6brcbbrc7+LipqQkA4PV64fV6VZe3LTaa5xARqfHzATtWbqnG7ppmjDUCz636Cb1yrJg0OA99cy1dPj9Z66WkSTqKouA3v/kNxo0bh2HDhgEAKisrodfrkZGRERKbn5+PysrKYMyhCaftfNu5jixcuBDz589vd3z58uVIS0uLuuwrVqyI+jlERF3pAaCHMfDvscZ9gB3Y+s1WbFXx3JaWliNZtJglTdKZNWsWNm/ejM8///yIv9Z9992HuXPnBh83NTWhuLgYU6dOhc1mU30dr9eLFStWYMqUKdDpdEeiqER0jFEUgRc+34kfK5rQNycNTrcPw1COzSiByaDFzzUtGFpkw3Xj+kCWpYjXaevBSTZJkXRmz56N9957D6tXr0bPnj2DxwsKCuDxeNDQ0BDS2qmqqkJBQUEw5uuvvw65XtvotraYcAaDAQaDod1xnU4XU/KI9XlEROH21LWgrMYJvU6Ldbub0ex0Y1gJ8FV5A6wmAwrSDdh+wIlqhw/FWZF7ZpK1Tkro6DUhBGbPno133nkHn3zyCfr06RNyftSoUdDpdFi5cmXw2LZt27B7926MHTsWADB27Fh8//33qK6uDsasWLECNpsNQ4YMOWJlVxSBffVOAMC+eicURRyx1yKiY4fD40ON3Y1tVc2oanLC1Tr9w+XzoarJiW1Vzaixu+HwpOa0kIS2dGbNmoXXXnsN//nPf2C1WoP3YNLT02EymZCeno7rr78ec+fORVZWFmw2G+bMmYOxY8filFNOAQBMnToVQ4YMwa9+9Sv88Y9/RGVlJX73u99h1qxZHbZmukNZdTM+2lyF8gNNOM0ILF5VhpJcG6YNy0f/POsReU0iOjak6TSosbtR0ehCi9sHCQoAYE+dEwIy0gxaQATiUlFCk86zzz4LAJgwYULI8SVLluCaa64BAPz5z3+GLMu4+OKL4Xa7MW3aNPzlL38Jxmo0Grz33nu45ZZbMHbsWJjNZsycORMLFiw4ImUuq27Gki/KUefwoIdNDwgg3aTD5v2N2N/oxLXjSph4iChmAkCdw4OGFi8EgLTWWlqWgBafgKfFC4NWRqr2rSQ06QjR9cdmNBqxePFiLF68OGJM79698f7773dn0TqkKAIfba5CncODAXkWyFAAJ2AxajHAqMf2ajuW/1CFvjmWTm/wERFF0tTiRX2LBwCgkYC2alKIwGNFAA0tHjS1eIHsBBY0Rlx7LQr7GpzYccCOwnQjJCk0qUiShMJ0I8qq7djX4ExQCYko1W3YUwefX0AC4Bdo7VwL/O0XgATA6xfYsKcucYU8DEw6UXB4fHD5/EjTd9xANOk1cPv8KXuDj4gSz+0TUA5JNuEUBFo7bl9qdrAx6UTBrNfCqNWgJUJScXr8MGg1MEdISkREXcmzGrq8XyNa41IRk04UemSY0C/XgopGV7v7UUIIVDS60D/Pgh4ZpgSVkIhSnVA5REBtXLJh0omCLEuYNiwfWebAoAG7K9Disbt82F5tR5ZZj6lD8zmIgIhiVmv3dlkxy61xqYhJJ0r986y4dlwJhhbaUNE6YKCiwYlhRTYOlyaiw5ZjVbeSgNq4ZMOkEyup9U/rv1OzoUtEySYvzQipi84SSQrEpSImnSi1TQ79YX8TCtMD924K0034YX8TlnxRjrLq5gSXkIhSWaPHB72286pZr5XRmKKjZJl0onDo5ND+ueaQSVv9c82oc3iw/IcqrsNGRDHLMOqgKAKRGjsSAEUIZBjZvXbUa5scatLJWL+rAV+XByZnfV1eh/W7GmDSyZwcSkSHRUiBL62yBGilg5W0jNbHEgBxMC7VcEJJFNpWf611uOH2Ksg0BX4djDoJ1c0uNLo8yDYbODmUiGLW6Ax0r/k8fvgFoG9t8khSYEUCWWrtXnOmZj3DpBOFttVfW9w+5NmM0MmBbxp6rQZZZi2qmlwpvforESVeZpoOsiRBp5GgiIPzcQQAnUaCLAGyJCEzLTW715h0ohD40UvorLdVQOJINiKKWYHVCL1WhsevIMukQWA9aT8yTTookNDo8sOgk1Fg5ei1o57T60eORQ+LUYtahwf21uat3elDrcMDi1GLHIseTq8/wSUlolTl8ivonZ0Gg1ZGs1tBcPy0JKHZrcColdErywyXP9LqbMmNLZ0omPVa5FgM0GslbKu0Y78jsPz4/kYnjAY9+uSkwWbUc+01IoqZWa9FrywzMtP02FbZDKc7UM94fQqyLXoMzLfCatSlbD3Dlk4UemSYkGHSYVulHTqNhMLWNdYKM0zQaQKJKDNNx7XXiChmbWs8ajUyzhtRhDMG5wEAzhich/OOL4JWI6f0Go9MOtGSDv5l0AYeGLRS8C4P7+cQ0eE4dI3HsgP2Qxc+QdmB1F/jkUknCvsanGho8eKkkkzk20xweQMpxuUVyE834aSSTDS0eDlPh4gOS/88K84YlAeH249vyusBAN+U18Ph8eOMQXkpvcZjanYKJkjbJm59cyzomZkGh9MDoAEnl2TBbNLDLwTKaxycp0NEh6WsuhmfbK2G2aDFySVZAOw4uSQL9S4Fn2ytRu/stJRNPGzpRIGbuBHRkXboclv9ctLQ7A5sYdDs9qJfTlrKL7fF2jEKbTf4vvq5Fj5Fgd3pwfElgWVwLCY9tLKMsf2yU/YGHxElXttyWw0tHrxSVgOf34spo4FV26qh1dRjSJEtuNxWcVZaoosbNbZ0oiDLEgYVWlHR5MLPNQ603ceTJeDnGgcqmlwYWGBN2Rt8RJR4Do8P26qasK68Dna3D1opUE1rJRl2tw/ryuuwrao5ZbvxmXSioCgCWyuaUZhuRN9sM9pat4oA+uaYUZhuxLbK5pRt9hJR4uklCTtrWuBXAKNOPnRuKIw6GX4FKK9xQN/VpjtJit1rUWhr9g7Is8Bi0LYbSGB3+1K62UtEibe5shFenx+SBLR4FOg1gS+xTp8Cjz+w9prH58fmykb0zU+9wQRs6UShbfRaml4LSZJgNQVyttUUeGzSa+D2+VO22UtEiVfd5IEQaF3sM5RA63ERiEtFTDpR4Og1IjrScqx6+DtIOG0EAlsc5Fj18SxWt2HSiULb6LWKRheECP2VEEKgotGV0stTEFHi5VkMXa5sIlrjUhGTThQOXZ5ie7UddlfrKtMuH7ZXp/7yFESUeNXNrm6NSzZMOlHqn2fFteNKMKwoHY3OwKStRqcXw3uk49pxJSk7S5iIksN3exu6NS7Z8OZDDPrnWdF3ggW7a5rxXekezJrYH71yOD+HiA6fLKlrC6iNSzapWeokIMsSemQG7t30yDQx4RBRt+iZqe6esNq4ZMOkQ0SURE4fkANdFzWzTg7EpSImHSKiJOJTgN7ZacFltg7dTwcILLvVOzsNvtTcrZr3dIiIkolZr8XxPTNhNmixtaIZonUAtQBg0ATWf+yXa03Z+YBs6RARJZG2+YBeRUArhc7Y0UoCXkWk9HxAJh0ioiQiyxJcPj+2V9nR4gcMrf1sBllCix/YXmWH0+tP2cFLTDoxUhSBffWBban31Tu5sjQRdQuPx493N+4HIJCmk4KrEwgAZp0EQOC/3+2Hx+NPXCEPA5NODMqqm/HspzuweFUZAGDxqjI8++kOlFU3J7hkRJTqlm+txIFmFwwaGV4f4Gv9QutTBDw+wKCRUd3kwvKtlQkuaWxS805UApVVN2PJF+Woc3jQw6YHBJBu0mHz/kbsb3RyVQIiOiyVjW54/Upwlem24dOyBLgVAb9XQJYCcamILZ0oHLp3+YA8CyzGQM62GLUYkGdJ+b3LiSjxcq16+JTAFgYyELKJm4zAcb8SiEtFTDpRaNvErTDdCCls1z5JklCYbgxu4kZEFIsciwGydHALg7b5OD4FwS0PJCkQl4qYdKJw6CZuHeEmbkR0uJpcPhhb+9QEEDKQoO3fRp2MJldq1jNMOlHgJm5EdKRlpumgkWVEGhAtAdDIMjLTdPEsVrdh0okCN3EjoiOtwGaEx+fvdOdQj8+PApsxnsXqNkw6UTh0E7efquyobAxsolTZ6MJPVdzEjYgOX73DA5ev88FILp9AvcMTpxJ1LyadKPXPs+KMQXlwuH34prwOAPBNeR0cbh/OGJTH4dJEdFje3bSvW+OSDZNOlMqqm/HJ1mqYDRqcVJIJADipJBNmgwafbK3mBFEiOiyNLeoGCKiNSzZMOlE4dJ5O/1wz2m7rCAH0zzVzng4RHbaiDHX3atTGJRsOs4pC2zwdr9+P/3xXAZfbg1NHAJ9srYbRoMfAAktwnk5xVlqii0tEKSjdpG5Umtq4ZMOkEwWHx4fddQ7sOOCAx6cg3RhoKOq0MuocHqzf1YB+uWbO0yGimB1oVjdAQG1csmH3WhQMWhm7ap1weRXYjFoYtHLwuM2ohcurYHedM3iciChaBTZ1Kw2ojUs2rB2jUN3kgtvnh1ZGh8vgaGXA7fWjusmVoBISUarLMKvrNlMbl2zYvRaFuhYv9BoZgIDT64emNfH4FAGnV2lt4Uioa/EmtJxElLrqHL7Awp6dxMitcamISScK2WY9THoN9FoJbq+Azx/4ofv8AmaDFgatBI9PINucmqu/ElHi5dkM0MiAUNDhqgSBZXACcamI3WtRGFmciZJsM+xuPwrTDejZOmSxZ4YRhTYD7G4/+uSYMbI4M8ElJaJUNazQBp1WhiQBGiC4BpuEwGNIgF4rY1ihLWFlPBxMOlHQamVcM64EVqMOu+ud8PgD30M8foHd9U7YjDrMPLUEWg4kIKIYeRSBonQjIIDwDan9ACQBFKab4EnR+YDsXovSpMH5AIClX5Rjf70dAGB3+zAw34qZp5YEzxMRxSJNp4Feq4FJr0GLxx+ytYGEwBYqBq2MNJ0mgaWMHZNODCYNzsf4AblYV34AVT98hT9cOAyjS3LZwiGiwyYANLt88PgUyBKgb61W9HJgIze3T0GTyxdxFepkx1oyRrIsocAW2MKgwGbiytJE1C2aXV40OQNJRSMH9s4BAn9r5LYYH5pdqTlKNqFJZ/Xq1Tj33HNRVFQESZKwbNmykPOSJHX45/HHHw/GlJSUtDv/6KOPHtFyl1U349lPd2DxqjIAwOJVZXj20x1c7JOIDlt5rQNevx9GrQRAgtsfGDwd+FuCUSvB4/OjvNaR0HLGKqFJx+FwYMSIEVi8eHGH5ysqKkL+vPjii5AkCRdffHFI3IIFC0Li5syZc8TKXFbdjCVflGPz/sbg2kfpJh0272/Eki/KmXiI6LBIkgSBQDeaJEkwtDZvDBoZkiTB7VOCcakoofd0pk+fjunTp0c8X1BQEPL4P//5DyZOnIi+ffuGHLdare1ij4RDV5kekGeBDAVwAhajFgOMemyvtmP5D1Xom2NhdxsRxSTbrIdGluD1A4qiQGltGihCQFEEBALd+6k6HzBlBhJUVVXhf//7H1566aV25x599FE88sgj6NWrF2bMmIE77rgDWm3kt+Z2u+F2u4OPm5qaAABerxdeb+R+0n31TpQfaEIPmx4yFEgiMKBREn7IEtDDpsfO6ibsrmlGj0xuWU1E0ctN0yLdIAOKD34FOLiHigKtJEEjAxlGGblp2k7rq87OJVLKJJ2XXnoJVqsVF110Ucjx2267DSNHjkRWVha+/PJL3HfffaioqMCTTz4Z8VoLFy7E/Pnz2x1fvnw50tI635LgNCMCw0ucB4+VuHYcfGAEvivdg+/UvCkiog78dmj7Y4+MPnRhHCc2r/0Mmzu5RktLS3cXq1tIQoikGHknSRLeeecdXHDBBR2eHzRoEKZMmYKnn3660+u8+OKLuOmmm2C322EwdLxMREctneLiYtTU1MBmizzLd1+9E4tXlSHdpIPZoEGLy4thKMdmlCDNqIPD7Uej04tZE/uzpUNEMdlV68DMF79Bs9MDvxDQSAKPjFbw4DoZfiFBI0mwpemx9NqT0DvbHPE6TU1NyMnJQWNjY6f1WrylREtnzZo12LZtG954440uY8eMGQOfz4fy8nIMHDiwwxiDwdBhQtLpdNDpIq/c2itHi5JcG77aWQufT4Hd5cGwEuCr8gZYjHpotTLG9s1Grxwr7+kQUUxqW3xo9iho8QE+IcHQOgfUrUhw+yVoJUByK6ht8aF/QeT6qrO6LJFSYp7OCy+8gFGjRmHEiBFdxm7cuBGyLCMvL6/byyHLEgYVWlHR6MLPtQ605RVZAn6udaCy0YWBBUw4RBS7uhYv3D4/fBH6oHwCcPn8KbuafUJbOna7HWVlZcHHO3fuxMaNG5GVlYVevXoBCDQR33rrLfzpT39q9/zS0lKsXbsWEydOhNVqRWlpKe644w788pe/RGZm9y+6qSgCWyuaUWgzIteih90Z2LlPEUDfHDO0soxtlc2YODCPiYeIYmLWauCOlHFauX0CZi2XwYnaunXrMHHixODjuXPnAgBmzpyJpUuXAgBef/11CCFw5ZVXtnu+wWDA66+/jocffhhutxt9+vTBHXfcEbxOd9vX4MSOA3YMyLfAYtDC4fQAaMDJJVkwm/Swu30oq7ZjX4MTxVmdD0ggIurIut01quN+Maj7e3SOtIQmnQkTJqCrcQw33ngjbrzxxg7PjRw5El999dWRKFqHHB4fXD4/0vQmSJIEq0kLOAGrSQshSTDpNahqcsHhSc3NlYgo8fY3eLo1LtmkxD2dZGHWa2HUatASIak4PX4YtBqY9SkxPoOIklCPTGO3xiUbJp0o9MgwoV+uBRWNrnYtNCEEKhpd6J9nQY8MDpcmoticPbywy4pZbo1LRUw6UZBlCdOG5SPLHFjyxu4KtHjsLh+2V9uRZdZj6tB8DiIgopgpkGAzdd5bYkvTQkFq1jNMOlHqn2fFteNKMKwoHY3OwJDFRqcXw3uk49pxJeifZ01wCYkoleklKbgrcSRen4CeC34eO/rnWdF3ggW7a5rxXekezJrYnxNCiahbbK5shMsTvlF1KKfHj82Vjeibn3pfctnSiZEsS8GlbnpkchM3IuoeFQ0uHLrKmhT2NwAorXGpiEmHiCiJOL2ho2NF2N+R4lIFkw4RURLpl2MNad109G+5NS4VMekQESWRXJsBBm2gahYIbem0/VuvlZFr63gV/WTHpENElEQKbEZYjVpEGpwmSYDNpEWBjZNDiYjoMLl8CrSyhEgrhAkBaCQJLp/ScUCSY9IhIkoiWgA19s7XVauxe1J2vguTDhFRElmzowY+pfPJoT5FYM0OdatRJxsmHSKiJFLR4Go3PDqcAOfpHHMURWBfvRMAsK/eCaWLbyZERGrkpasblaY2LtmkardgQpVVN+OjzVUoP9CE04zA4lVlKMm1YdqwfK69RkSHJTtN361xyYZJJ0pl1c1Y8kU5appc8Cs+wAjUt7jRtKce+xudXPSTiA5LrcMLCe1XIDiU1BqXiph0oqAoAh9trsK3e+qxr7YFPsWHc7OA0p9roZW16JGdhh4/mNA3x8K12IgoJnlWg6qkk2dNze413tOJwr4GJ5b/WImyKjvsHj+0rbO3tJIEu8ePsio7PvqhEvsanAkuKRGlqiyLrlvjkg2TThQaHB78VNUMvyJg1ErQtLZmNLIEo1aCXxHYXtWMBkdq7l1ORInX6PRBq+k8RqsJxKUiJp0obNhTB49PgSwBXgVw+wMzgt1+BV4FkCXA7VOwYU9dgktKRKlKCAGtLEMfIfHoNYBWliEiLVmQ5Jh0ouD2CQgAPgXwKyJk9Ve/IuBTAv2wbl9q/jIQUeKVZJuhkWR4/R2vMu31AxpZRkm2OXGFPAxMOlEoSDeGLcLXfnslSQrEERHFwmLQQm6tmQVCa5m2r7OyFIhLRUw6URhWaINBK0OSAj900forICAgt34NMWplDCu0JbagRJSyKpsCKxJoWmvntmU92/7WyIHkU9nEFQmOeh5FoE+OGVpZgiIATet3EA0Cj3WyhJIcCzxcnYCIYlTf4oVfURBpEem27v36Fs7TOeqZ9VoMzLfBZtThx32N8PoDo0d8QsBi0GJIUToK000w6/mxElFs0g1auLydb1vg8vqRzu61o1+PDBP65VqglWUMKrQGJ2flWQ0YVGCFVpbRP8+CHhmmBJeUiFJVtcMdcS+dNkIE4lIRk04UZFnCoEIrKppcKK9zIt0UWPso3aRHeZ0TFU0uDCywcjUCIopZTbMHXW3PprTGpSImnSgoisDWimYUphvRJzsNntZOV49PQd9sMwrTjdhW2cwVp4koZulpXcwMjTIu2TDpRGFfgxM7DtiRa9FDCt/AXAJyLXqUVdu5DA4RxWx3rbr6Q21csknNO1EJ4vD4UGN3o9bhhturINMU+KZhMWpwoNmNJpcX2WYDHJ7UXJ6CiBJP7eZsqbqJG5NOFNJ0GtTY3Whx+5BnM0InB7rR9FoNssxaVDW5ABGIIyKKRWGGutWj1cYlG3avRSGQYiQIRBooEDjHOzpEFKuTemV1a1yyYUsnCk6vHzkWPSQJqHV4YNEGko/d6YPdJ2AxapFt1sPp9Se4pESUqpo9fmgloLMlHLVSIC4VsaUTBbNeixyLAYXpBnh9CvY3Bm7k7W90wutTUJhuQI7FwMmhRBQzAQG9VoYuQu2slQG9Vg4uw5VqmHSi0CPDhIw0HbZV2qGVgcLWSaCFGSZoZWBbpR0ZaTpODiWimJXkmKHXaqBAghaArrU3XycFuqYEJOi1GpTkcJXpY4M4+Je3dZ6O16cEv3NwWigRHQ6rQQerQQsJgUmgbdP+FBF4LAGwGrSwGrhz6FFvX4MTDU4vemYaUefwYne9AwCwu96BOkfgeH2Ll/N0iChmEgCrSQtJElAAtN258aM16UgCNpM2Zb/g8uZDFBweH3bXObDjgAM+RcCq1wHww6rXodkrsLXSDq9fcJ4OEcWsxetHdZMLkcYjef1AVZMLLSk6YIktnSgYtDJ21Trh8iqwGjTBNdZkWYLVoIHLq2B3nRMGLT9WIoqVghpH59sWBM53tUJbcmLtGIXqJhfcPj+EUFDX4kW9M7DgXr3Tg7oWL4RQ4G79lkJEFIs3vt7TrXHJht1rUahr8UJAwN06gF7b+ukF9i1vW50gEEdEFIu99eq+tKqNSzZs6UQhw6SDx6tAkgJj5dvW/Aw+BuD2+ZFhSs1RJUSUeD2zjN0al2yYdKIgggvhBCZnGTSBNdYMGg30WjmQhARSdtIWESXenWcMhKaLoWkaKRCXiph0otDo9MGk10KnkeHxCyit2/spQsDjF9BpZJj0WjQ6OXqNiGJjMesxqNDaacygQissZn2cStS9eE8nCtlmPaxGLaxGDRpbvPApgSGLPkXApNUgPU0HQEJ2iv4yEFHieTx+2F1+tHactCMBcLj98Hj80OtTb0V7tnSiMLI4EyXZZrR4FJj1Ghi1gR+4UauBWa9Bi0dBnxwzRhZnJrikRJSqlm+txIFmFwzajvvY9FoJ1U0uLN9aGeeSdQ8mnShotTKmDs2H16+gxuGBxx/oRvP4fahxeODzK5gyJB9aztMhohhVNrrh8ilwRVhm2u0TcPsUVDa641yy7sHaMQqKItDk9EGvkeBVAHfrhGC3H/AqgE4jodnlg6JwIAERxSbbrENXVYhfBOJSEZNOFPY1OPHW+j0RZwvXOLx4c90err1GRDGrdXi6NS7ZMOlE4YDdiV21LcHHUtjfALC7tgUH7Ew6RBSbqkZ1kz7VxiUbJp0o/Pe7/SGjSUTY30BgNaT/frc/foUioqOK2ahuRJrauGTDpBOFxhZ182/UxhERhZs4IB/a1sWEtRKCE0U1UuAxAGhlCRMH5CeohIeHSScKPTNVLk+hMo6IKFyW1YB+uWZIAHwidBM3nwh05/fLNSPLakhkMWPGpBOF0SVZ3RpHRBSuR4YJ543ogWxLYJJ5eDd+tkWP80/ogR4ZpoSU73Ax6UTB4VEiTthqY9BKcHhSc58LIko8WZbg8vnR6PRCQmj3mgSg0emF0+sP7ueVaph0opCZpoNBq0GkuZ9aGTBoNchMS83x80SUeB6PH+9u3A9AIE0vQW5dzl6WJKTpA4vj/Pe7/fB4uHPoUa/AZoRBK0OSOv6GIUkSjDoZBTbe0yGi2LQtg6OTJbR4BLytN3W8ikCLR0AncxmcY4bLp8Ck0wQ3bAvn9QsYtRq4fOxeI6LYVDa64fEpcHrbb5IiADi9Ah4ug3Ns0EsSalpnAYe3ddo+yFqHB/oILSEioq5kWXTwiYMDB8InoQsERrFlWVKzGz+hSWf16tU499xzUVRUBEmSsGzZspDz11xzDSRJCvlz5plnhsTU1dXhqquugs1mQ0ZGBq6//nrY7fYjUt7NlY3w+vzQSO2XHFcQuNHn8fmxubLxiLw+ER39NGFfaTuahN5RXKpIaNJxOBwYMWIEFi9eHDHmzDPPREVFRfDPP//5z5DzV111FX744QesWLEC7733HlavXo0bb7zxiJS3uskDcci4+XCKAIQIxBERxeKA3YOuBqZppEBcKkroJm7Tp0/H9OnTO40xGAwoKCjo8NyWLVvw4Ycf4ptvvsHo0aMBAE8//TTOOussPPHEEygqKurW8uZa9fC3NnslhDZ72zZcUkQgjogoFnk2faA3RUTexE2WAnGpKOl3Dv3000+Rl5eHzMxMnHHGGfj973+P7OxsAEBpaSkyMjKCCQcAJk+eDFmWsXbtWlx44YUdXtPtdsPtPngTrqmpCQDg9Xrh9Xa8gjQAZJk0MGkF/CKwHIVRE/iVMGsFNFKgn1UjBeI6uw4RUSSDc8xI00lw+RRoJEAvBeoZkxyoZ/wCMGllDM4xd1rPJGsdlNRJ58wzz8RFF12EPn36YMeOHbj//vsxffp0lJaWQqPRoLKyEnl5eSHP0Wq1yMrKQmVl5OGECxcuxPz589sdX758OdLS0jot08KT2h97aGToaLW6rV/j/a2dXoaIKKIFI9sfmz/60HrGjx/XrcaPnVyjpaWlk7OJk9RJ54orrgj+e/jw4Tj++OPRr18/fPrpp5g0aVLM173vvvswd+7c4OOmpiYUFxdj6tSpsNlsEZ+3flcdHnhnM5weHxqcXmglgUdGK3hwnQyfkJBh0sGk1+IPFw7DqN5cCoeIotdWzzQ6PWh2+2GQD9YzbkWCVa9Bepq+y3qmrQcn2SR10gnXt29f5OTkoKysDJMmTUJBQQGqq6tDYnw+H+rq6iLeBwIC94kMhvaL5el0Ouh0kYchji7JRYbZiP1NTdBrtTDIAOCGUaeDWwHqXQqKsowYXZLLLauJKCa2NCOa3QpqWhQAUnC0l1eR4PZLcDsVyFoFtjRjp/VVZ+cSKaVqxr1796K2thaFhYUAgLFjx6KhoQHr168PxnzyySdQFAVjxozp9teXZQm9s9MgSxLcXj98/kBz1+dX4Pb6IUsSemWlpeyaSESUeEaNjGZ3YHuU8Jqk7XGzywejJqWq76CEltput2Pjxo3YuHEjAGDnzp3YuHEjdu/eDbvdjrvvvhtfffUVysvLsXLlSpx//vno378/pk2bBgAYPHgwzjzzTNxwww34+uuv8cUXX2D27Nm44oorun3kGoDWbagl5FoNcPsBR+vKAw6fArcfyLUaAEjcrpqIYra5shE+vwIZrSNiW48rrY9lBL7opup8wIR2r61btw4TJ04MPm67zzJz5kw8++yz2LRpE1566SU0NDSgqKgIU6dOxSOPPBLSNfbqq69i9uzZmDRpEmRZxsUXX4ynnnrqiJTX4fFh09567K5rCQ6bBg4Ol95d1wKtHIgjIopFdZMHinIw2YRTAEhK6s4HTGjSmTBhAoSIMNMSwEcffdTlNbKysvDaa691Z7Ei0srArtoWKK1Do9tWu5Fad/fzi8B53s4holhlWXToav1oP7gMzjFhzfYaeFu/fvjDdvRrWwPUqwTiiIhioXZ5Gy6DcwyoaHB1axwRUTi1y9uk6jI4TDpRyLeo25NcbRwRUbiMNHV3PdTGJRsmnSgokrp9ctTGERGF21WjbpV8tXHJhkknCgea1a1lpDaOiChcRaO6bjO1ccmGSScKRRldb0MtqYwjIupIgU1dt5nauGTDpBOFcQNyuhwvIrXGERHFIsNo6ta4ZMOkEwWn14+uVp6Q5UAcEVEs9jepW9FEbVyyYdKJwre76tHJXFYAgY2Xvt1VH58CEdFRp0JlMlEbl2yYdKLg9ongJNBI/CIQR0QUi0KbunvCauOSDZNOFLJVLjuhNo6IKFzPLHO3xiUbJp0oNDjULeSpNo6IKNyAfIuqAUsD8i3xKE63Y9KJQlWTuuVt1MYREYWzu/3QdzEaWq8NxKUiJp0oFKSr60NVG0dEFC7dpAWEFLG1IwGAkAJxKYhJJwo2lWsdqY0jIgp3aLqJtHMopNC4VMKkEwXe0yGiI63B6YVWI0EgsDnkodqOaWUJDc7UXG6LX8mjkGPRd2scEVG4DJMOPn/7Vg5w8JhPCcSlIrZ0oiDafe84vDgiovYOtnE6aukE/tFROyg1MOlEodbu7fIDk1vjiIhi0eD0QZIjpxQBQJYlNDhTsxufSScKuVZ13WZq44iIwtmMWni7WNXE41NgM6bm3REmnSjkmA2QuhgwIkmBOCKiWNTY3arWeKyxu+NToG7GpBOFJre65qzaOCKicAeaPR2PIjiEJLXGpSAmnSiYNLKqBT9NXe1/QEQUQZ7V0OUYASFa41IQa8cofPpTZbfGERGFy7LouhyXJlrjUhGTThR216vrQ1UbR0QUrtbhUZV0ah3sXjvqGbTqlp1QG0dEFG7nAXu3xiUbJp0oTBqc161xRETh0rTqus3UxiUbJp0oZKlc3kZtHBFRODWr1Esq45IRk04U1myt6dY4IqJwWVYdNF300MtSIC4VMelEYW+Dus3Z1MYREYVrdvkhq0g6zS5u4nbUK7Kp6zZTG0dEFM5skOFTOo/xKYG4VJSapU6QwixTt8YREYXbUeVQNWR6R5UjHsXpdkw6Uaizq1veRm0cEVG4ikZ13fNq45INk04U1I4WSdVRJUSUeEd7PcOkE4UBeZYudyWXWuOIiGIxIF9lPZOfmvUMk04U7B4/dJrOY/QaCXZPao4qIaLEs7v96GrNYI0ciEtFTDpRSDdpIXX5HSQQR0QUC6teA38Xo9f8SiAuFTHpREESEnxK5+NKfIqAJLj2GhHF5qfqZlWj136qbo5Hcbodk04UauxudJFzoKTwjn5ElHj7VE4uVxuXbJh0orCjRt03kB01qfkNhIgSTxFd9K1FGZdsmHSiYNKpu1ejNo6IKNyI4oxujUs2TDpRyLOp2x5WbRwRUbg8q1HV2mt5Vs7TOeqpGbkWTRwRUThJSNB1kXV0GillBywx6UShxu5R9Q2kxp6a28gSUeI1uLyQu6hoZElCg8sbpxJ1LyadKORa9VAzkiDXylWmiSg26XotPF0sM+3xKUjXp+a9YyadKORYDJC6aOlIUiCOiCgW1S0uiC6+3AoRiEtFTDpRaHL5IHfxiclyII6IKBY1zeq6zdTGJRsmnShYDBr4uljuyOcPxBERxSLLokNXM3CU1rhUxKQThe1VdlWTQ7dX2eNRHCI6CmlUjkpTG5dsmHSiUKly0yS1cURE4Q441I1+VRuXbJh0opCpcvVotXFEROHSTeq659XGJRsmnShs3FPXrXFEROG+39vYrXHJhkknChVN6kaLqI0jIgpX0ahulXq1ccmGSScK+TZ1kz7VxhERhctXOblcbVyyYdKJQt9sc7fGERG119UY2WjjkguTThQqmtSNSlMbR0QUrkrlpE+1ccmGSScKVc3q+lDVxhERheuZpW7LArVxyYZJJwoFKvevUBtHRBTuzjMGdrk5itQal4qYdKJQZFOXTNTGERGFMxq0yDZ3vsRNtlkHoyE15wMmNOmsXr0a5557LoqKiiBJEpYtWxY85/V6cc8992D48OEwm80oKirC1Vdfjf3794dco6SkBJIkhfx59NFHj0h5K+0t3RpHRBRuw556mPTaiJWzDMCk12LDnvp4FqvbJDTpOBwOjBgxAosXL253rqWlBRs2bMCDDz6IDRs24O2338a2bdtw3nnntYtdsGABKioqgn/mzJlzRMpb0ahu9Wi1cURE4WodHlQ1uSIu+qkAqGpyoTZFl8FJaPts+vTpmD59eofn0tPTsWLFipBjzzzzDE4++WTs3r0bvXr1Ch63Wq0oKCg4omUFgHybulVd1cYREYUzagGPv/Ph0B6/gDE1e9cSm3Si1djYCEmSkJGREXL80UcfxSOPPIJevXphxowZuOOOO6DVRn5rbrcbbvfBEWZNTU0AAl16Xm/kYYgaocCgOfjLYJBFyN+HxnV2HSKiSD74bp+qeuaD7/bhtH45Ea+TrHWQJERXe9TFhyRJeOedd3DBBRd0eN7lcmHcuHEYNGgQXn311eDxJ598EiNHjkRWVha+/PJL3Hfffbj22mvx5JNPRnythx9+GPPnz293/LXXXkNaWtphvxciokRraWnBjBkz0NjYCJvNlujiBKVE0vF6vbj44ouxd+9efPrpp51+gC+++CJuuukm2O12GAwdbxvdUUunuLgYNTU1nV773rfW470faoKPDbLAI6MVPLhOhls5OMjxnKE5ePTSUZ29XSKiDt3774147/uq4OOI9czwfDx68QkRr9PU1IScnJykSzpJ373m9Xpx2WWXYdeuXfjkk0+6/PDGjBkDn8+H8vJyDBzY8Th2g8HQYULS6XTQ6SLfjzEYjHD724+gdytSyHGDwdjpdYiIIsmzpqmqZ/KsaZ3WM8laByV10mlLONu3b8eqVauQnZ3d5XM2btwIWZaRl5fX7eU5YFfXR6o2jogo3AGHynpGZVyySWjSsdvtKCsrCz7euXMnNm7ciKysLBQWFuKSSy7Bhg0b8N5778Hv96OyshIAkJWVBb1ej9LSUqxduxYTJ06E1WpFaWkp7rjjDvzyl79EZmZmt5c3X+We5GrjiIjCFWV0fFsg1rhkk9Cks27dOkycODH4eO7cuQCAmTNn4uGHH8a7774LADjhhBNCnrdq1SpMmDABBoMBr7/+Oh5++GG43W706dMHd9xxR/A63a3Zo27+jdo4IqJwo0uyAPysMi71JDTpTJgwAZ2NY+hqjMPIkSPx1VdfdXexItpV6+jWOCKicI0t6r60qo1LNlx7LQr7G9StHq02jogo3I6a5m6NSzZMOlFI06v7uNTGERGFM+nUdUCpjUs2rB2j0DND5T4XKuOIiMLlp6sbIKA2Ltkw6UTh1H653RpHRBQuL80ITRcb6mikQFwqYtKJQoPL361xREThGj0+aLvIOlqNhMYUHSXLpBOFLJO6PlS1cURE4WxGDXxdrDLt8wvYjJo4lah7MelEYf3u2m6NIyIKV2v3oqsVMYUIxKUiJp0oVDWra86qjSMiClfd7EZXqzCL1rhUxKQThTyVm7OpjSMiCpdt0qlKOtmm1KxnmHSikKZVOU9HZRwRUbg6p7oWjNq4ZMPaMQrVdnWj0tTGERGFq2rydGtcsmHSiUJRur5b44iIwhWkq5t/ozYu2TDpRKF/gbVb44iIwg3It3RrXLJh0olCRZ261aPVxhERhWt0etHFggSQWuNSEZNOFL78ub5b44iIwtXa3ZAlREw8EgBZCsSlIiadKHQ1jDHaOCKicFlmA6TWjCPhYCUt42AikqVAXCpi0olCkU3lNrIq44iIwuVaDdBrZEgIfIFVWo8rOPiFVqeRkWtNzXqGSScKxVlp3RpHRBSuwGaE2aANJptwAoDFqEWBjaPXjno1DnXL26iNIyIK5/Ip8PojpZwAj0+By9d5TLJi0olCocpNk9TGERG1oyhocHb+xbXB6QMUJp2jXs9MlTuHqowjIgr3xro93RqXbJh0olBjV9m9pjKOiCjc3npXt8YlGyadKGSa1H1cauOIiML1yFDXPa82LtmwdoxC6Y66bo0jIgo3YVBet8YlGyadKFQ0q1vVVW0cEVE4p1egq91RtHIgLhUx6UShUOVkLLVxREThMkw6aKTOq2aNLCODm7gd/aYen9+tcURE7QkAotO11yAEUnXBLSadKLhU9pqpjSMiCtfg9EFIImJKEQAgiS7n8iQrJp0oGPXqvlmojSMiCmcxaODtIp94fIG4VMSkE4Xl3x/o1jgionBlVfYuO85Ea1wqYtKJwu46dT9ktXFEROH21Ld0a1yyYdKJwgGVQ6HVxhERhWtyqdsRVG1csmHSiYJR29UmstHFERGF65tr7ta4ZMOkE4UeGaZujSMiCtcry6xqcmivLCado97AQku3xhERhZs6qAA9MtI6nafTMzMNUwcVxLNY3YZJJwoNTnVDodXGERGF0+s1yLXqO52nk2PRQ6/nkOmjXp5V261xREThWlq8+H5vU6cx3+9rQksLBxIc9Rxuf7fGERGFe/7LHXB3sV2126fg+S93xKlE3YtJJwqVTeq+WaiNIyIKt7dO5SZuKuOSDZNOFLLN6oZCq40jIgpXmK7v1rhkE3PS8fl8+Pjjj/HXv/4Vzc3NAID9+/fDbj96Z+NXNaib9Kk2jogoXEmOutGvauOSTUx3vHft2oUzzzwTu3fvhtvtxpQpU2C1WvHYY4/B7Xbjueee6+5yJoXqFnWruqqNIyIKV6+y/lAbl2xiauncfvvtGD16NOrr62EyHZwIeeGFF2LlypXdVrhkk5umboii2jgionA5FnXdZmrjkk1MLZ01a9bgyy+/hF4f+qZLSkqwb9++bilYMrKlqdupT20cEVG4yDvpxBaXbGJq6SiKAr+//bDgvXv3wmq1HnahktXeeme3xhERhTvQ7Im4GkEbCam7sHBMSWfq1KlYtGhR8LEkSbDb7Zg3bx7OOuus7ipb0tlbr3Ioo8o4IqJwBq0EuYusI0uBuFQUU/fan/70J0ybNg1DhgyBy+XCjBkzsH37duTk5OCf//xnd5cxaai9U8M7OkQUq5HFWZAkoLPeM1kKxKWimJJOz5498d133+GNN97Ad999B7vdjuuvvx5XXXVVyMCCo02WRQd7Q9cTP7MsvKdDRLExGzWQu8g6kiTBbEzNr7cxLxKm1Wpx1VVX4aqrrurO8iS1zDQtdqtIOplpXHuNiGKzeX8TFNH5IAFFCGze34S+ual3Dz2mezovvfQS/ve//wUf//a3v0VGRgZOPfVU7Nq1q9sKl2zU3qrhLR0iilV1kxtK50uvQSiBuFQUU9L5f//v/wW70UpLS/HMM8/gj3/8I3JycnDHHXd0awGTSb7KbjO1cURE4bItOnSRc+BvjUtFMfUD7dmzB/379wcALFu2DJdccgluvPFGjBs3DhMmTOjO8iWV80/sgW92d77keFscEVEspC4HTEcXl2xiaulYLBbU1tYCAJYvX44pU6YAAIxGI5zOo3eOikvlqhNq44iIwtXYPV0OmdZIgbhUFFNLZ8qUKfj1r3+NE088ET/99FNwbs4PP/yAkpKS7ixfUrHo1eVotXFEROHybQbIEiBEx+PXJASGTOfbDPEuWreIqXZcvHgxxo4diwMHDuDf//43srOzAQDr16/HlVde2a0FTCartlZ1axwRUbghRTbotZpOt6vWazUYUmSLZ7G6TUwtnYyMDDzzzDPtjs+fP/+wC5TMKprUNWfVxhERhfP6BdJ0Mlo8kXcgNulkeP2pufZazBNKGhoa8MILL2DLli0AgKFDh+K6665Denp6txUu2eSY1TUM1cYREYXTykCjs/P5gI1OL7QpWs3EVOx169ahX79++POf/4y6ujrU1dXhySefRL9+/bBhw4buLmPScKvchVptHBFRuDXba+BtHTMdPp6g7bFXCcSlophaOnfccQfOO+88/O1vf4NWG7iEz+fDr3/9a/zmN7/B6tWru7WQyaLaoS6bqI0jIgpX0XBwdnl4B5qIEJdKYm7p3HPPPcGEAwSWxfntb3+LdevWqb7O6tWrce6556KoqAiSJGHZsmUh54UQeOihh1BYWAiTyYTJkydj+/btITF1dXW46qqrYLPZkJGRgeuvv/6IbZmda1Y3GUttHBFRuMIMo6qtDQozjPEoTreLKenYbDbs3r273fE9e/ZEtZ+Ow+HAiBEjsHjx4g7P//GPf8RTTz2F5557DmvXroXZbMa0adPgch3M8FdddRV++OEHrFixAu+99x5Wr16NG2+8Mfo3pYJJr24ylto4IqJwp/fP6da4ZBNT99rll1+O66+/Hk888QROPfVUAMAXX3yBu+++O6oh09OnT8f06dM7PCeEwKJFi/C73/0O559/PgDg5ZdfRn5+PpYtW4YrrrgCW7ZswYcffohvvvkGo0ePBgA8/fTTOOuss/DEE0+gqKgolrcX0e46dRNf1cYREYVzuCOPWoslLtnElHSeeOIJSJKEq6++Gj5fYPq9TqfDLbfcgkcffbRbCrZz505UVlZi8uTJwWPp6ekYM2YMSktLccUVV6C0tBQZGRnBhAMAkydPhizLWLt2LS688MIOr+12u+F2H1wsr6kpsLSN1+uF1xv5fsyBRicMh6wmbpBFyN+HxnV2HSKiSD7dth96zcE6JVI98+m2/RhSaIl4nWStg2JKOnq9Hv/3f/+HhQsXYseOHQCAfv36IS0trdsKVllZCQDIz88POZ6fnx88V1lZiby8vJDzWq0WWVlZwZiOLFy4sMM5RcuXL+/0Pcwf1fHxR0a3X57v/fffj3gdIqJISgD88eT2x9vVMy1leP/9sojXaWlp6dZydZeYkk5jYyP8fj+ysrIwfPjw4PG6ujpotVrYbMk9U/a+++7D3Llzg4+bmppQXFyMqVOndlr2qY8vx35H6DeQR0YreHCdDLdy8D5OkVnC8runHpnCE9FR7bW15Xj0g20AAEkCTBrgoZF+LNiggdMfWB4HAO6dPhAzxpREvE5bD06yiSnpXHHFFTj33HNx6623hhx/88038e6773bLt/yCggIAQFVVFQoLC4PHq6qqcMIJJwRjqqurQ57n8/lQV1cXfH5HDAYDDIb26xbpdDrodJFHntU4Abe//SABtyKFHK9xotPrEBFFcvnoPnjy451ocnmhkQBJCmQZlwJ4/BL8Akg36XD56D7Q6SJX4claB8U0em3t2rWYOHFiu+MTJkzA2rVrD7tQANCnTx8UFBRg5cqVwWNNTU1Yu3Ytxo4dCwAYO3YsGhoasH79+mDMJ598AkVRMGbMmG4px6FcXW1yEWUcEVE4o1GLq0/tDa0mkGDaKmkZgF8AOo2EX43tDaMxNXcojqnUbrc7OIDgUF6vN6qtDex2O8rKDvZJ7ty5Exs3bkRWVhZ69eqF3/zmN/j973+PAQMGoE+fPnjwwQdRVFSECy64AAAwePBgnHnmmbjhhhvw3HPPwev1Yvbs2bjiiiu6feQaEFg9ut7ZdUbhKtNEdDjunDoQALD0853w+gN1rVcBrAYNZo7rEzyfimKqHU8++WQ8//zz7Y4/99xzGDUqwt32Dqxbtw4nnngiTjzxRADA3LlzceKJJ+Khhx4CENgGe86cObjxxhtx0kknwW6348MPP4TReHBS1KuvvopBgwZh0qRJOOuss3Daaad1WLbuMGtC326NIyKK5ITiDAzvmYH01hZNulGLYT0ycEJxRmILdphiaun8/ve/x+TJk/Hdd99h0qRJAICVK1fim2++wfLly1VfZ8KECRAi8kqpkiRhwYIFWLBgQcSYrKwsvPbaa+oLfzhklX2kauOIiDqwcksVFn6wFc0uLwrSTQDcKEg3YUeNHQs/2AoAmDQ4v/OLJKmYWjrjxo1DaWkpiouL8eabb+K///0v+vfvj02bNuH000/v7jImjXSjuo9LbRwRUTifT8HSL8rR7PKiV6YJltaWjsWoRa9ME5pdXrz0ZTl8vtS8eRzznagTTjgBr776aneWJemV7qhVHXfpSSVHtjBEdFTasKce5bUOZJv1kGUZwMHkIssyss167KxxYMOeepzcJztxBY1RTEmno3XXDtWrV6+YCpPs9jeq25xNbRwRUbhahwdevwKTXgNFEahzeoB8oM7ugcVkgEmvQZ3Dg1pHatYzMSWdkpISSFLkRS39/tRcE6gruVZ1H5faOCKicNlmPXQaGfvqnah3eCBBAfoBO2sdEHAis/V8tlmf6KLGJKba8dtvvw157PV68e233+LJJ5/EH/7wh24pWDJyudsPEz+cOCKicCOLM6HXyNhb74QAkNZaS8sS0OITqGpyo2+uGSOLMxNazljFlHRGjBjR7tjo0aNRVFSExx9/HBdddNFhFywZ7a5Vt5aR2jgionCKItDk8kIgsAxOW5+S1PpYCKDJ6YWiRB75m8y6dZjVwIED8c0333TnJZNKlV3dqq1q44iIwi3fWgmH2wezXgO9LAWHESgA9LIEs14Dh9uH5VsjL2qczGJq6YQvJCeEQEVFBR5++GEMGDCgWwqWjMx6GQ2uru9XmbkiARHFqLLRDb8QyDRpIUEDSSgA/Mg06SAkGQJAfYsXlY3uri6VlGJKOhkZGe0GEgghUFxcjNdff71bCpaM8q167GvquhWTb03NG3xElHgF6QZoJAlun4BJJ0PTWtdqZAl+SHB5FWgkCQXp7RctTgUxJZ1Vq1aFPJZlGbm5uejfvz+02qN35FZRZho27HOoiiMiisXUQQV43PoT9je2wOuXoUXg3k2zywcfJLh9CnpkpGHqoMgr6SezmDLE+PHju7scKaHGoW4ouNo4IqJwer0G551QhOc+2wGHR0HbDAxFEXD4BHSyhHNHFEGv13R+oSSlOum8++67qi963nnnxVSYZFdoVbemmto4IqJwiiJg1GowIN+CvbUt8LWuMu0TAla9Fj2z02DSBSaOynLk+ZLJSnXSadtOoCuSJB21k0NNRnXfLNTGERGF29fgxI4DdgzKt8Jm0KKyoQWAA3lWIwoy0lCUYUJZtR37Gpwozkq9rnzVSUdRUnNxue50oFndpE+1cURE4RweH2rsbtQ63HB7FeRa9QAcyLXqUWP3oNntQ7bZAIcnNeuZqO7puFwufPzxxzjnnHMAAPfddx/c7oPD9rRaLRYsWBCy383RJNeirttMbRwRUbg0nQY1djda3D7k2YzQyYGBBHqtBllmLaqaXIAIxKWiqJLO0qVL8b///S+YdJ555hkMHToUJpMJALB161YUFBRg7ty53V/SJHCg2dWtcURE4QIpRoJApPs1gXOpuR5BlCsSvPrqq7jxxhtDjr322mtYtWoVVq1ahccffxxvvfVWtxYwmVQ1q1yRQGUcEVE4p9ePHIseFqMWtXYP6uyB1aTr7B7U2j2wGLXIsejh9KbmvfOokk5ZWRmGDx8efGw0Glv3ewg4+eST8eOPP3Zf6ZJMjkVdw1BtHBFROLNeixyLATZjoJttd31gbuDuegdq7G7YjBrkWAww61Oznomq1A0NDSH3cA4cOBByXlGUkPNHG7db3TcLtXFEROF6ZJgACGza2wQhBGwGHQA/rAYdmtwKNu1tQmG6qTUu9UTV0unZsyc2b94c8fymTZvQs2fPwy5Ustrb6OzWOCKicIoisKu2BYoQ0Gtl6LSBalqnlaHXylCEwO66lmNjlemzzjoLDz30EFyu9jfKnU4n5s+fj7PPPrvbCpdsGp3qWjBq44iIwm3YU4/qZjeKMoywGHTw+QPJxecXsBh1KMowoqrJjQ176hNc0thE1b12//33480338TAgQMxe/ZsHHfccQCAbdu24ZlnnoHP58P9999/RAqaDDJMGlWrTGeYUnMoIxElXtt21Xk2EzSSBOH3AXCiZ4YRkkYLvxDYV+88Nrarzs/Px5dffolbbrkF9957L4RoHdwnSZgyZQr+8pe/ID8//4gUNBkUZ6ahvL7rH3QxF/wkohi1bVft9PhhMbSvop0e/7G1XXWfPn3w4Ycfoq6uDmVlZQCA/v37Iysrq9sLl2x6ZJmAnxvUxRERxWBkcSZKss34saIJjVpPYDWYnsDeBhdkWYbLJzC0yHZsbVcNAFlZWTj55JO7syxJr1bl6tFq44iIwmm1MqYOzcd3extgd/uR2bqWoxACNQ4PDFoNpgzJh1abmptFpuZA7wThMjhEdKQpikCT04cB+RZUN7rg8gQmm/sVgTyrEXk2A5pdvqN/lWkCalQub6M2jogoXNsq0yN6ZsDcV4PqxhYAe3DGoDzkpafB4fGn9CrTqdk+S5BKlcvbqI0jIgrn8Pjg8vmRptdClmUUtk4CLcwwQZZlmPQauH3+lF1lmkknCrk2ld1rKuOIiMKZ9VoYtRq0REgqTo8fBq0mZZfBYdKJgkWj7uNSG0dEFK5Hhgn9ci2oaHQFp6W0EUKgotGF/nmWY2MZnGNdlcpRaWrjiIjCybKEacPykWXWY3u1HXZXoMVjd/mwvdqOLLMeU4fmp+QgAoBJJyo90tVNxlIbR0TUkf55Vlw7rgRDC22oaAis5VjR4MSwIhuuHVeC/nnWBJcwdkw6UTi5b3a3xhERdUpq/dP679Rc4jMUk04Umt1Kt8YREXWkrLoZS74ox+Z9jbAaAwMGrEYtNu9rxJIvylFW3ZzgEsaOSScK6R2sg3Q4cURE4RRF4KPNVdhd24JGpxc/7A8kmB/2N6PR6cXu2hYs/6Hq2Nja4Fi3eb+6pcTVxhERhdvX4MS3e+pR3ezCgWY3jLpANW3UyTjQ7EZ1swsbdtdjX0Nq7tvFpBOFHSqbtGrjiIjCNbu92F3XAp9fIMush751jTW9VkaWWQ+fX2BPXQua3ak5CZ1JJwo/16j7ZqE2jogonN3lC0wA1cmQpNBh0ZIkwaCT0eLxB4dSpxomnSgYVa7qqjaOiCicxaCFSaeB2+vvcHKo2+tHml7T4V47qYC1YxSKVM4AVhtHRBTOatShV3YadFoZdQ4PPL7AZHOPz486hwdajYzirDRYjam53FZqpsoE6ZVlBH5WGUdEFIMeGSacWJwJt0+Bz6fA7grsVuzyCuRaDdBqZIzslZmyy+Aw6UThgMrlbdTGERGFa1sGZ3+jE7V2D3pnGQE0YGiRDQ0uBdkWLoNzzChSubyN2jgioo60LYMzvEc6/K3zcfyKwPE901N+GRy2dKIwrEcGgL0q44iIYtc/z4q+EyzYXdOM70r3YNbE/uiVY03ZFk4btnSi0OhS122mNo6IqDOyLKFHZuDeTY9MU8onHIBJJypcBoeI4klRBPbVB+b97at3puzSN4di7RiFaJbBuRS9jnBpiOhoVlbdjI82V6H8QBNOMwKLV5WhJNeGacPyU/qeDls6Udjf6OnWOCKijgRXmd7fiHRTYD5OukmHzfu5yvQxpcCmblSa2jgionBtq0zXOTwYkGeBpXVrA4tRiwF5FtQ5PFxl+lihdgZwqs4UJqLE29fgxI4DdhSmGztce60w3YiyajtXmT4W7G90dWscEVE4h8cHl8+PNL0WQgg0OwMLezY7fRBCwKTXwO3zw+FJzQU/OZAgCm6fuqHQauOIiMKZ9VoYtRrsb2hBZaMbzU43ji8Bvi6vg9VkQEG6AQatBmZ9albfbOlEYXiRrVvjiIjC9cgwISNNh2/K61HV5IRRF+hiM+okVDU58U15PTLSdCm79hqTThQKMtO6NY6IqENtYwTC7um0PU7lKaJMOlHQqPxRq40jIgq3r8GJBqcXJ5VkIs9qhMsbyEAur0C+zYiTSjJR3+JN2YEEqdkpmCAH7B7IEtDZSEVZCsQREcWibSBB3xwLemamweH0AGjAySVZMJv08AuB8hpHyg4kYEsnCrlW/cFmbySiNY6IKAZtAwlaPD5IkgSrKdA2sJq0kCQpsJU1BxIcG3LMhnZdrOEkKRBHRBSLHhkm9Mu1oKLR1eF21RWNLvTPs3AgwbGgye2DXtt51tFrZTS5U7PZS0SJ17aJW5ZZj+3VdthdgfrE7vJhe7UdWWZu4nbMyDDpoCiRR45IABQhkGHiigREFLu2TdyGFaWj0ekFADQ6vRjeI/U3cUv6pFNSUgJJktr9mTVrFgBgwoQJ7c7dfPPNR6QsovWGTqQuNkkCIA7GERHFqn+eFbdM6IdZE/sDAGZN7I+bx/dL6YQDpMDotW+++QZ+/8EZ/ps3b8aUKVNw6aWXBo/dcMMNWLBgQfBxWtqRmSfT6PRBo5Hg9necVBQBaDUSGp3sXiOiw9e2idt3OHo2cUv6pJObmxvy+NFHH0W/fv0wfvz44LG0tDQUFBQc8bJkmHTwd7HCjU8Bu9eIiCJI+qRzKI/Hg1deeQVz584NWX311VdfxSuvvIKCggKce+65ePDBBztt7bjdbrjd7uDjpqYmAIDX64XX6434PMXvhSz5YdAEHhtkEfI3AMjwQ/F3fh0iIrXa6pJo65RkrYMkET4mL4m9+eabmDFjBnbv3o2ioiIAwPPPP4/evXujqKgImzZtwj333IOTTz4Zb7/9dsTrPPzww5g/f36746+99toR65ojIoqnlpYWzJgxA42NjbDZkmc9yJRKOtOmTYNer8d///vfiDGffPIJJk2ahLKyMvTr16/DmI5aOsXFxaipqen0h/PoBz/ilbV7go8NssAjoxU8uE6GWznY8vrlmGLcO31ING+NiKhDXq8XK1aswJQpU6DTqe+6b2pqQk5OTtIlnZTpXtu1axc+/vjjTlswADBmzBgA6DTpGAwGGAztJ3DqdLrOf6iSBm5/+xt5bkUKPS5povrlICLqSpf1UwfxySjph0y3WbJkCfLy8nD22Wd3Grdx40YAQGFhYbeXQe0M4FSdKUxEdKSlREtHURQsWbIEM2fOhFZ7sMg7duzAa6+9hrPOOgvZ2dnYtGkT7rjjDvziF7/A8ccf3+3lSDer++agNo6I6FiTEknn448/xu7du3HdddeFHNfr9fj444+xaNEiOBwOFBcX4+KLL8bvfve7I1KOeocPMgClkxi5NY6IiNpLiaQzderUdgvfAUBxcTE+++yzuJUjz2aARgaE0vFi0xIAjRyIIyKi9lLmnk4yGFZog07b+Uem18oYVpg8I0WIiJIJk04UPIpAmk4TcWU1AcCk18DT2S5vRETHMCadKGiBLtdVa2zxpUafJRFRAjDpRGHNjhr4FAEJgFYCNK1TczRS4LEEwKcIrNlRk8hiEhElLSadKFQ0uAAAsgQIKfB3R4/b4oiIKBR7gqLQI9MIuTW5SJIU3DdHANAc8rhHpjGBpSQiSl5s6UTh8pG9YDHo4BOAVgYMmsDHZ9DI0MqATwBWow6Xj+yV4JISESUnJp0oGI1aXH1qb2hlCS1eAbc3ME3U7VXQ4hXQyRJ+NbY3jEY2IImIOsKkE6U7pw7Eqf2yA4MGWo/5EBhEMLZfNu6cOjBxhSMiSnJMOlH6R2k5vt3dAL1Ggql1oqhJK0OvkfDt7gb8o7Q8sQUkIkpiTDpR8Hj8+PuanXD7/Mgy62A1Bhb2tBp1yDLr4Pb58cLnO+HxdLGnNRHRMYpJJwrLt1biQLMLRq0Mu1tBsyuwHWyzywu7W4FRK6O6yYXlWysTXFIiouTEO95RqGx0w6cIKEIAkKDTBibmyJIEl08BIKCIQBwREbXHlk4U8mwGKELArwhoNVLI5FCtRoK/NSFxlWkioo4x6URhWJENeq0MRQAibFFPoQj4BWDQyhhWxFWmiYg6wqQTBY9foE+OGRqNDJdPgcevtB5X4PIp0GpklOSY4fFzlWkioo7wnk4UzHotBubbYDNq8cO+Jvj8gZk6PkXAbNBiaJENhelpMOv5sRIRdYQtnSj0yDChX64FWlmDwYVW5FkD927yrAYMLrBCK2vQP8+CHhmmBJeUiCg5MelEQZYlDCq0oqLJhfI6J9JNegBAukmP8jonKppcGFhghdw2woCIiEIw6URBUQS2VjSjMN2IvtlmtI0lUATQN8eMwnQjtlU2Q+HOoUREHeLNhyjsa3BixwE7BuRZYDFo4XB6ADTg5JIsmE162N0+lFXbsa/BieKstEQXl4go6bClEwWHxweXz480vRaSJMFqCuRsqynw2KTXwO3zw+HpfEtrIqJjFZNOFMx6LYxaDVoiJBWnxw+DVsPRa0REETDpRKFt9FpFowtChE0OFQIVjS6OXiMi6gS/kkdBliVMG5aP/Y1O/FRlR4ZRRh89UNnoQoNLQbZFj6lD8zl6jYgoArZ0otQ/z4ozBuXB4fbhm/I6AMA35XVwuH04Y1Ae+udZE1xCIqLkxaQTpbLqZnyytRpmgwYnlWQCAE4qyYTZoMEnW6tRVt2c4BISESUvJp0oKIrAR5urUOfwYECeBWZ9YBM3s16HAXkW1Dk8WP5DFefpEBFFwKQThbZ5OiadjHW7GvB1a/fa1+V1WLerASadHJynQ0RE7XEgQRQcHh9q7G7UOjxwe/3INGkAAEadjAPNLjS5vMg26zlPh4goAiadKJh0GtTYPXC4fci3GaCTA91oeq2MLLMGVU1uCBGIIyKi9ti9FoXAQGgBCZHu2QTOccA0EVHHmHSi0OL1I8digNmoRZ3DA4/PDwDw+Pyoc3hgMWqRbTGgxetPcEmJiJITu9eiYNZrkWMxIMeiR2WjG81ONwDA5RXIsxlRYDMAkLgMDhFRBKwdo9C2DM7m/Y0Y1TsDLS4v2laZTjPqUHbAgeE90rkMDhFRBOxei0LbMjhZZj3KDjggtd68kSSg7IADWWYug0NE1BkmnSj1z7Pi2nElGFaUjkanFwDQ6PRieI90XDuuhMvgEBF1gt1rMeifZ0XfCRbsrmnGd6V7MGtif/TK4TbVRERdYUsnRooiUNkUWHmgssnJpW+IiFRgSycGK7dUYekX5dhfb8dtxwEPvLMZRZkWXDOuBJMG5ye6eERESYtJJ0ort1Rh4Qdb0ezyosASWPDTYtDip+pmLPxgKwAw8RARRcDutSj4fAqWflGOZpcXxRlG6DWBezh6jYTiDCOaXV689GU5fD4lwSUlIkpOTDpR2LCnHuW1Dlj0GlQ2ubG3wQUA2NvgQmWTGxa9BjtrHNiwpz7BJSUiSk7sXotCrcMDp8cHpyTBrwhY9YGWjk4jodnjh8unAEKg1uFJcEmJiJITWzpRyEzTwesXcHv9MOlkaFqHSGtkCSadDLfXD69fIDNNl+CSEhElJyadKBRYjdBrZfgiDI/2KQIGnYwCqzHOJSMiSg1MOlFw+RX0zk6DQSuj0emDu3XAgNunoNHpg1Ero1eWGS4/BxIQEXWE93SiYNZr0SvLjMw0PbZVNsPpDty78foUZFv0GJhvhdWo4yrTREQRsHaMwqGrTJ83oggHmlsA7MEZg/OQa03DjhoH+udZuMo0EVEE7F6LwqGrTO+occBqCAwYsBp02FHDVaaJiLrCpBMlrjJNRBQ7dq/FgKtMExHFhi2dGMmyhB6ZgXs3PTJNTDhERCow6RARUdww6RARUdww6RARUdww6RARUdww6RARUdww6RARUdwkddJ5+OGHIUlSyJ9BgwYFz7tcLsyaNQvZ2dmwWCy4+OKLUVVVlcASExFRZ5I66QDA0KFDUVFREfzz+eefB8/dcccd+O9//4u33noLn332Gfbv34+LLroogaUlIqLOJP2KBFqtFgUFBe2ONzY24oUXXsBrr72GM844AwCwZMkSDB48GF999RVOOeWUeBeViIi6kPRJZ/v27SgqKoLRaMTYsWOxcOFC9OrVC+vXr4fX68XkyZODsYMGDUKvXr1QWlraadJxu91wu93Bx01NTQAAr9cLr9erumxtsdE8h4goGrHWM8laLyV10hkzZgyWLl2KgQMHoqKiAvPnz8fpp5+OzZs3o7KyEnq9HhkZGSHPyc/PR2VlZafXXbhwIebPn9/u+PLly5GWlhZ1OVesWBH1c4iIohFtPdPS0nKESnJ4JCFEx3svJ6GGhgb07t0bTz75JEwmE6699tqQFgsAnHzyyZg4cSIee+yxiNfpqKVTXFyMmpoa2Gw21eXxer1YsWIFpkyZAp1OF/0bIiLqQqz1TFNTE3JyctDY2BhVvXakJXVLJ1xGRgaOO+44lJWVYcqUKfB4PGhoaAhp7VRVVXV4D+hQBoMBBoOh3XGdThdT8oj1eUREakVbzyRrnZT0o9cOZbfbsWPHDhQWFmLUqFHQ6XRYuXJl8Py2bduwe/dujB07NoGlJCKiSJK6pXPXXXfh3HPPRe/evbF//37MmzcPGo0GV155JdLT03H99ddj7ty5yMrKgs1mw5w5czB27FiOXCMiSlJJnXT27t2LK6+8ErW1tcjNzcVpp52Gr776Crm5uQCAP//5z5BlGRdffDHcbjemTZuGv/zlLwkuNRERRZLUSef111/v9LzRaMTixYuxePHiOJWIiIgOR0rd0yEiotTGpENERHHDpENERHHDpENERHHDpENERHHDpBMjRRHYV+8EAOyrd0JRUmY1ISKihEnqIdPJqqy6GR9trkL5gSacZgQWrypDSa4N04blo3+eNdHFIyJKWmzpRKmsuhlLvijH5v2NSDcF1jZKN+mweX8jlnxRjrLq5gSXkIgoeTHpREFRBD7aXIU6hwcD8iywGAMNRYtRiwF5FtQ5PFj+QxW72oiIImDSicK+Bid2HLCjMN0ISZJCzkmShMJ0I8qq7djX4ExQCYmIkhuTThQcHh9cPj/S9B3fCjPpNXD7/HB4fHEuGRFRamDSiYJZr4VRq0FLhKTi9Phh0GpgjpCUiIiOdUw6UeiRYUK/XAsqGl0I33BVCIGKRhf651nQI8OUoBISESU3Jp0oyLKEacPykWXWY3u1HXZXoMVjd/mwvdqOLLMeU4fmQ5alLq5ERHRsYtKJUv88K64dV4JhRelodHoBAI1OL4b3SMe140o4T4eIqBO8+RCD/nlW9J1gwe6aZnxXugezJvZHrxwrWzhERF1gSydGsiyhR2bg3k2PTBMTDhGRCkw6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0w6REQUN0mddBYuXIiTTjoJVqsVeXl5uOCCC7Bt27aQmAkTJkCSpJA/N998c4JKTEREnUnqpPPZZ59h1qxZ+Oqrr7BixQp4vV5MnToVDocjJO6GG25ARUVF8M8f//jHBJWYiIg6o010ATrz4YcfhjxeunQp8vLysH79evziF78IHk9LS0NBQUG8i0dERFFK6qQTrrGxEQCQlZUVcvzVV1/FK6+8goKCApx77rl48MEHkZaWFvE6brcbbrc7+LipqQkA4PV64fV6VZenLTaa5xARRSPWeiZZ6yVJCCESXQg1FEXBeeedh4aGBnz++efB488//zx69+6NoqIibNq0Cffccw9OPvlkvP322xGv9fDDD2P+/Pntjr/22mudJisiolTR0tKCGTNmoLGxETabLdHFCUqZpHPLLbfggw8+wOeff46ePXtGjPvkk08wadIklJWVoV+/fh3GdNTSKS4uRk1NTVQ/HK/XixUrVmDKlCnQ6XTq3wwRkUqx1jNNTU3IyclJuqSTEt1rs2fPxnvvvYfVq1d3mnAAYMyYMQDQadIxGAwwGAztjut0upiSR6zPIyJSK9p6JlnrpKROOkIIzJkzB++88w4+/fRT9OnTp8vnbNy4EQBQWFh4hEtHRETRSuqkM2vWLLz22mv4z3/+A6vVisrKSgBAeno6TCYTduzYgddeew1nnXUWsrOzsWnTJtxxxx34xS9+geOPPz7BpScionBJnXSeffZZAIEJoIdasmQJrrnmGuj1enz88cdYtGgRHA4HiouLcfHFF+N3v/tdAkpLRERdSeqk09UYh+LiYnz22WdxKg0RER2upF6RgIiIji5MOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOjHyePz48IcKAMCHP1TA4/EnuEREdLTx+RSs31UHAFi/qw4+n5LgEh2+oybpLF68GCUlJTAajRgzZgy+/vrrI/Za/ygtx5RFq/HQO5sBAA+9sxlTFq3GP0rLj9hrEtGxZeWWKly79Bs80FrPPPDOZly79Bus3FKV4JIdnqMi6bzxxhuYO3cu5s2bhw0bNmDEiBGYNm0aqquru/21/lFajsc/2obKJicMOg0AwKDToLLJicc/2sbEQ0SHbeWWKiz8YCt+qm6GxaAFAFgMWvxU3YyFH2xN6cRzVCSdJ598EjfccAOuvfZaDBkyBM899xzS0tLw4osvduvreDx+/H3NTrh9fmSl6WDSB5KOSa9BVpoObp8fL3y+k11tRBQzn0/B0i/K0ezyolemCRZja9IxatEr04RmlxcvfVmesl1t2kQX4HB5PB6sX78e9913X/CYLMuYPHkySktLO3yO2+2G2+0OPm5qagIAeL1eeL3eiK/10Y8VaHI4kWnUwKiVoJcFAAT+1krINGrQaHfiox/34cyhhd3x9ojoGLN+Vx3219tRYNFBrwG0UiC5aCUF0MgosOiwr86OdeUHMKp3VsTrdFaXJVLKJ52amhr4/X7k5+eHHM/Pz8fWrVs7fM7ChQsxf/78dseXL1+OtLS0Tl/v4ZEAEPrDvHVAS8hjZde3eH/Xt10XnoioA7cd1/7YRXl1IY+rfvgK7/8Q+RotLS2RTyZQyiedWNx3332YO3du8HFTUxOKi4sxdepU2Gy2iM/78IcKPPTOZhh0Gpj0GuhlgVsHtOAv29PgUSQ4PX64vX4suHAYWzpEFJP1u+rwwDubYTFoYTFqoZUUXJRXh7ers+ATMuwuH+xuH/5w4bBOWzptPTjJJuWTTk5ODjQaDaqqQm+sVVVVoaCgoMPnGAwGGAyGdsd1Oh10Ol3E15o2pAeeWL4DlU1OSLIMaCUAgEeR4PIJ1Lv8KEw3YdqQHtC1DjIgIorG6JJcFGVa8FN1M3rptIAmcOvdJ2R4/ECl3YuB+VaMLsmFVhv5tnxndVkipfxAAr1ej1GjRmHlypXBY4qiYOXKlRg7dmw3v5YGvz69DwxaDepavHC2Dhhwevyoa/HCqNXg+tP6QK9nwiGi2Gi1Mq4ZVwKrUYfd9U7YXT4AgN3lw+56J2xGHWaeWtJpwklmKd/SAYC5c+di5syZGD16NE4++WQsWrQIDocD1157bbe/1q/GlgAA/r5mJ5ocTgCA2xto4Vx/Wp/geSKiWE0aHLhHvfSLcuyvtwMA7G4fBuZbMfPUkuD5VCQJIUSiC9EdnnnmGTz++OOorKzECSecgKeeegpjxoxR9dympiakp6ejsbGx03s6h/J4/Pjox31Qdn0LufeJmDakB1s4RNStfD4F68oPoOqHr5A/9JQuu9QOFUu9Fg+p2T7rwOzZs7Fr1y643W6sXbtWdcKJlV6vCQ4WOHNoIRMOEXU7rVYODhYY1TsrZbvUDpX674CIiFIGkw4REcUNkw4REcUNkw4REcUNkw4REcUNkw4REcUNkw4REcUNkw4REcUNkw4REcUNkw4REcUNkw4REcUNkw4REcUNkw4REcUNkw4REcUNkw4REcUNkw4REcUNkw4REcUNkw4REcUNkw4REcUNkw4REcWNNtEFSAZCCABAU1NTVM/zer1oaWlBU1MTdDrdkSgaER3jYq1n2uqztvotWTDpAGhubgYAFBcXJ7gkRETdq7m5Genp6YkuRpAkki0NJoCiKNi/fz+sViskSVL9vKamJhQXF2PPnj2w2WxHsIREdKyKtZ4RQqC5uRlFRUWQ5eS5k8KWDgBZltGzZ8+Yn2+z2Zh0iOiIiqWeSaYWTpvkSX9ERHTUY9IhIqK4YdI5DAaDAfPmzYPBYEh0UYjoKHW01TMcSEBERHHDlg4REcUNkw4REcUNkw4REcUNkw4REcUNk06MFi9ejJKSEhiNRowZMwZff/11ootEREeR1atX49xzz0VRUREkScKyZcsSXaRuwaQTgzfeeANz587FvHnzsGHDBowYMQLTpk1DdXV1ootGREcJh8OBESNGYPHixYkuSrfikOkYjBkzBieddBKeeeYZAIG124qLizFnzhzce++9CS4dER1tJEnCO++8gwsuuCDRRTlsbOlEyePxYP369Zg8eXLwmCzLmDx5MkpLSxNYMiKi5MekE6Wamhr4/X7k5+eHHM/Pz0dlZWWCSkVElBqYdIiIKG6YdKKUk5MDjUaDqqqqkONVVVUoKChIUKmIiFIDk06U9Ho9Ro0ahZUrVwaPKYqClStXYuzYsQksGRFR8uMmbjGYO3cuZs6cidGjR+Pkk0/GokWL4HA4cO211ya6aER0lLDb7SgrKws+3rlzJzZu3IisrCz06tUrgSU7PBwyHaNnnnkGjz/+OCorK3HCCSfgqaeewpgxYxJdLCI6Snz66aeYOHFiu+MzZ87E0qVL41+gbsKkQ0REccN7OkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkREFDdMOkSHeOGFFzB16tREF4O6wb333os5c+YkuhgUhknnGLdnzx5cd911KCoqgl6vR+/evXH77bejtrY2quuUl5dDkiRs3LjxyBQ0DlwuFx588EHMmzcv5Phbb72FQYMGwWg0Yvjw4Xj//fcTVML4+8Mf/oBTTz0VaWlpyMjISHRxonLXXXfhpZdews8//5zootAhmHSOYT///DNGjx6N7du345///CfKysrw3HPPBVfMrqurS3QR4+pf//oXbDYbxo0bFzz25Zdf4sorr8T111+Pb7/9FhdccAEuuOACbN68OYEljR+Px4NLL70Ut9xyS6KLErWcnBxMmzYNzz77bKKLQocSdMw688wzRc+ePUVLS0vI8YqKCpGWliZuvvnm4DEA4p133gmJS09PF0uWLAmeP/TP+PHjg3EvvPCCGDJkiNDr9aKgoEDMmjUreG7Xrl3ivPPOE2azWVitVnHppZeKysrK4Pl58+aJESNGiBdeeEEUFxcLs9ksbrnlFuHz+cRjjz0m8vPzRW5urvj9738fUrb6+npx/fXXi5ycHGG1WsXEiRPFxo0bO/08zj77bHHXXXeFHLvsssvE2WefHXJszJgx4qabbur0Woej7T0fatWqVQKAqK+vDx5bs2aNOO2004TRaBQ9e/YUc+bMEXa7XQghxPjx49v9TNr+zJs3L+oyLVmyRKSnp8f+pmJ4vfByH/qZ+Hw+cd1114mSkhJhNBrFcccdJxYtWtTuOi+99JLo2bNn3MpNXWNL5xhVV1eHjz76CLfeeitMJlPIuYKCAlx11VV44403IFSuB/v1118DAD7++GNUVFTg7bffBgA8++yzmDVrFm688UZ8//33ePfdd9G/f38AgX2Izj//fNTV1eGzzz7DihUr8PPPP+Pyyy8PufaOHTvwwQcf4MMPP8Q///lPvPDCCzj77LOxd+9efPbZZ3jsscfwu9/9DmvXrg0+59JLL0V1dTU++OADrF+/HiNHjsSkSZM6bb19/vnnGD16dMix0tJSTJ48OeTYtGnTUFpaGvE6a9asgcVi6fTPq6++quJTjWzHjh0488wzcfHFF2PTpk1444038Pnnn2P27NkAgLfffhsVFRWoqKjA2LFjceeddwYf33XXXYf12l25+eabu3z/athstmCZ77zzzpBziqKgZ8+eeOutt/Djjz/ioYcewv33348333wzJO7kk0/G3r17UV5e3l1vjw4T99M5Rm3fvh1CCAwePLjD84MHD0Z9fT0OHDiAvLy8Lq+Xm5sLAMjOzg7ZQfX3v/897rzzTtx+++3BYyeddBIAYOXKlfj++++xc+dOFBcXAwBefvllDB06FN98800wTlEUvPjii7BarRgyZAgmTpyIbdu24f3334csyxg4cCAee+wxrFq1CmPGjMHnn3+Or7/+GtXV1TAYDACAJ554AsuWLcO//vUv3Hjjje3K39DQgMbGRhQVFYUcr6ysRH5+fsix/Px8VFZWRvwsRo8e3eW9rfBrRmvhwoW46qqr8Jvf/AYAMGDAADz11FMYP348nn32WWRlZQVj9Xo9LBZL3Ha2XbBgwWEnNrfbDb1eHyxzeKLS6XSYP39+8HGfPn1QWlqKN998E5dddlnweNvPc9euXSgpKTmsMlH3YNI5xqltycSiuroa+/fvx6RJkzo8v2XLFhQXFwcTDgAMGTIEGRkZ2LJlSzDplJSUwGq1BmPy8/Oh0Wggy3LIserqagDAd999B7vdjuzs7JDXczqd2LFjR4dlcTqdAACj0RjDOw1lMpmCrblYff/99yEVrd/vDzn/3XffYdOmTSEtJiEEFEXBzp07I36ZiIe8vDxVX1Q6U1tbC5vN1mnM4sWL8eKLL2L37t1wOp3weDw44YQTQmLaWvEtLS2HVR7qPkw6x6j+/ftDkiRs2bIFF154YbvzW7ZsQWZmZrAFI0lSuwTl9Xo7fY3wbrtY6XS6kMeSJHV4TFEUAIEdFwsLC/Hpp5+2u1akEVjZ2dmQJAn19fUhxwsKClBVVRVyrKqqqtNWw5o1azB9+vSI5wHgr3/9K6666qqI5wcOHIh33303+Hjt2rX45S9/GXxst9tx00034bbbbmv33ETvKnnzzTfjlVde6TTGbrd3ev7nn39Gnz59Ip5//fXXcdddd+FPf/oTxo4dC6vViscffzykixVAsDu17feYEo9J5xiVnZ2NKVOm4C9/+QvuuOOOkARRWVmJV199FVdffTUkSQIQ+E9bUVERjNm+fXvIt0e9Xg8g9Bu51WpFSUkJVq5c2eEOiIMHD8aePXuwZ8+eYGvnxx9/RENDA4YMGRLzexs5ciQqKyuh1WpVd6no9XoMGTIEP/74Y8g8nbFjx2LlypXBbiwAWLFiBcaOHRvxWt3RvabX60NaS3v37g05P3LkSPz444+H3aI6Erqje2316tWdJuUvvvgCp556Km699dbgsY5asZs3b4ZOp8PQoUMPqzzUfZh0jmHPPPMMTj31VEybNg2///3v0adPH/zwww+4++670aNHD/zhD38Ixp5xxhl45plnMHbsWPj9ftxzzz0hrY28vDyYTCZ8+OGH6NmzJ4xGI9LT0/Hwww/j5ptvRl5eHqZPn47m5mZ88cUXmDNnDiZPnozhw4fjqquuwqJFi+Dz+XDrrbdi/Pjx7W7oR2Py5MkYO3YsLrjgAvzxj3/Ecccdh/379+N///sfLrzwwojXnjZtGj7//POQBHP77bdj/Pjx+NOf/oSzzz4br7/+OtatW4fnn38+4ut3R/daV+655x6ccsopmD17Nn7961/DbDbjxx9/xIoVK/DMM8902+vs3r0bdXV12L17N/x+fzCZ9u/fP+KAgMPpXnM6nfj73/+OHTt2YPr06cF7Z3a7HT6fD3V1dcjKysKAAQPw8ssv46OPPkKfPn3wj3/8A99880271tGaNWtw+umnd1urm7pBQsfOUcKVl5eLmTNnivz8fKHT6URxcbGYM2eOqKmpCYnbt2+fmDp1qjCbzWLAgAHi/fffDxkyLYQQf/vb30RxcbGQZTlkyPRzzz0nBg4cKHQ6nSgsLBRz5swJnlM7ZPpQM2fOFOeff37IsfHjx4vbb789+LipqUnMmTNHFBUVBd/XVVddJXbv3h3xs/jhhx+EyWQSDQ0NIcfffPNNcdxxxwm9Xi+GDh0q/ve//0W8RndQO2T666+/FlOmTBEWi0WYzWZx/PHHiz/84Q/trjd+/PgOh0nPmzdP9O7du9OyzJw5s8Nh16tWrYr+janQ0VBpdDAU3+VyiWuuuUakp6eLjIwMccstt4h777233ec2cOBA8c9//vOIlJViIwlxBO8kE6WYSy+9FCNHjsR9992X6KIccTNnzoQkSVi6dGmiixK0dOlSfPrppx2WaePGjfjNb37T4b26jnzwwQe48847sWnTJmi17NRJFpynQ3SIxx9/XPU8klQmhMCnn36KRx55JNFFCWEymZCent7hOZ1OFzIUvCsOhwNLlixhwkkybOkQEVHcsKVDRERxw6RDRERxw6RDRERxw6RDRERxw6RDRERxw6RDRERxw6RDRERxw6RDRERxw6RDRERx8/8B7xNY2fgdqeAAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Создание диаграмм зависимости\n",
    "for column in numeric_columns:\n",
    "    plt.figure(figsize=(4, 8))  # Установка размера графика\n",
    "    plt.scatter(df['Outcome'], df[column], alpha=0.5)  # Создаем диаграмму рассеяния\n",
    "    plt.title(f'Зависимость {column} от Outcome(диабет)')\n",
    "    plt.xlabel('Outcome (0 = нет, 1 = да)')\n",
    "    plt.ylabel(column)\n",
    "    plt.xticks([0, 1])  # Установка меток по оси X\n",
    "    plt.grid()  # Добавление сетки для удобства восприятия\n",
    "    plt.show()  # Отображение графика"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Создадим выборки данных. разбивать будем относительно параметра Outcome, ведь это тот самый параметр по которому наша выборка разбивается на классы. И собственно его нам и надо будет предсказывать"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Outcome\n",
      "0    500\n",
      "1    268\n",
      "Name: count, dtype: int64\n",
      "\n",
      "Обучающая выборка:  (460, 9)\n",
      "Outcome\n",
      "0    299\n",
      "1    161\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Контрольная выборка:  (154, 9)\n",
      "Outcome\n",
      "0    101\n",
      "1     53\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Тестовая выборка:  (154, 9)\n",
      "Outcome\n",
      "0    100\n",
      "1     54\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Вывод распределения количества наблюдений по меткам (классам)\n",
    "print(df.Outcome.value_counts())\n",
    "print()\n",
    "\n",
    "data = df.copy()\n",
    "\n",
    "df_train, df_val, df_test = split_stratified_into_train_val_test(\n",
    "   data, stratify_colname=\"Outcome\", frac_train=0.60, frac_val=0.20, frac_test=0.20\n",
    ")\n",
    "\n",
    "print(\"Обучающая выборка: \", df_train.shape)\n",
    "print(df_train.Outcome.value_counts())\n",
    "counts = df_train['Outcome'].value_counts()\n",
    "plt.figure(figsize=(2, 2))# Установка размера графика\n",
    "plt.pie(counts, labels=counts.index, autopct='%1.1f%%', startangle=90)# Построение круговой диаграммы\n",
    "plt.title('Распределение классов Outcome в обучающей выборке')# Добавление заголовка\n",
    "plt.show()# Отображение графика\n",
    "\n",
    "print(\"Контрольная выборка: \", df_val.shape)\n",
    "print(df_val.Outcome.value_counts())\n",
    "counts = df_val['Outcome'].value_counts()\n",
    "plt.figure(figsize=(2, 2))\n",
    "plt.pie(counts, labels=counts.index, autopct='%1.1f%%', startangle=90)\n",
    "plt.title('Распределение классов Outcome в контрольной выборке')\n",
    "plt.show()\n",
    "\n",
    "print(\"Тестовая выборка: \", df_test.shape)\n",
    "print(df_test.Outcome.value_counts())\n",
    "counts = df_test['Outcome'].value_counts()\n",
    "plt.figure(figsize=(2, 2))\n",
    "plt.pie(counts, labels=counts.index, autopct='%1.1f%%', startangle=90)\n",
    "plt.title('Распределение классов Outcome в тестовой выборке')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "распределение неплохое но могло бы быть лучше. Поэтому применим балансировку "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "аугментация данных оверсемплингом(Этот метод увеличивает количество примеров меньшинства)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Обучающая выборка после oversampling:  (582, 9)\n",
      "Outcome\n",
      "0    299\n",
      "1    283\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Применение ADASYN\n",
    "X_resampled, y_resampled = ada.fit_resample(df_train.drop(columns=['Outcome']), df_train['Outcome'])\n",
    "\n",
    "# Создание нового DataFrame\n",
    "df_train_adasyn = pd.DataFrame(X_resampled)\n",
    "df_train_adasyn['Outcome'] = y_resampled  # Добавление целевой переменной\n",
    "\n",
    "# Вывод информации о новой выборке\n",
    "print(\"Обучающая выборка после oversampling: \", df_train_adasyn.shape)\n",
    "print(df_train_adasyn['Outcome'].value_counts())\n",
    "counts = df_train_adasyn['Outcome'].value_counts()\n",
    "plt.figure(figsize=(2, 2))\n",
    "plt.pie(counts, labels=counts.index, autopct='%1.1f%%', startangle=90)\n",
    "plt.title('Распределение классов Outcome в тренировачной выборке после ADASYN')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "проведём также балансировку данных методом андерсемплинга. Этот метод помогает сбалансировать выборку, уменьшая количество экземпляров класса большинства, чтобы привести его в соответствие с классом меньшинства."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Обучающая выборка после undersampling:  (322, 9)\n",
      "Outcome\n",
      "0    161\n",
      "1    161\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Применение RandomUnderSampler\n",
    "X_resampled, y_resampled = rus.fit_resample(df_train.drop(columns=['Outcome']), df_train['Outcome'])\n",
    "\n",
    "# Создание нового DataFrame\n",
    "df_train_undersampled = pd.DataFrame(X_resampled)\n",
    "df_train_undersampled['Outcome'] = y_resampled  # Добавление целевой переменной\n",
    "\n",
    "# Вывод информации о новой выборке\n",
    "print(\"Обучающая выборка после undersampling: \", df_train_undersampled.shape)\n",
    "print(df_train_undersampled['Outcome'].value_counts())\n",
    "\n",
    "# Визуализация распределения классов\n",
    "counts = df_train_undersampled['Outcome'].value_counts()\n",
    "plt.figure(figsize=(2, 2))\n",
    "plt.pie(counts, labels=counts.index, autopct='%1.1f%%', startangle=90)\n",
    "plt.title('Распределение классов Outcome в тренировочной выборке после Undersampling')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "laba",
   "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": "3.12.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}