JupyterLab/.ipynb_checkpoints/week2_analysis-checkpoint.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2fe4f05d-bc29-4639-8cdc-50676aa3e1f5",
   "metadata": {},
   "source": [
    "3. Работа с pandas и numpy\n",
    "pandas: работа с таблицами"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "619de767-1ff0-423b-ac32-50c78327b041",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Первый взгляд на данные:\n",
      "      Имя  Возраст  Баллы\n",
      "0    Анна       21     89\n",
      "1   Борис       22     76\n",
      "2  Виктор       23     95\n",
      "3  Галина       24     82\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4 entries, 0 to 3\n",
      "Data columns (total 3 columns):\n",
      " #   Column   Non-Null Count  Dtype \n",
      "---  ------   --------------  ----- \n",
      " 0   Имя      4 non-null      object\n",
      " 1   Возраст  4 non-null      int64 \n",
      " 2   Баллы    4 non-null      int64 \n",
      "dtypes: int64(2), object(1)\n",
      "memory usage: 228.0+ bytes\n",
      "None\n",
      "         Возраст      Баллы\n",
      "count   4.000000   4.000000\n",
      "mean   22.500000  85.500000\n",
      "std     1.290994   8.266398\n",
      "min    21.000000  76.000000\n",
      "25%    21.750000  80.500000\n",
      "50%    22.500000  85.500000\n",
      "75%    23.250000  90.500000\n",
      "max    24.000000  95.000000\n",
      "Имя        0\n",
      "Возраст    0\n",
      "Баллы      0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Создадим DataFrame\n",
    "data = {\n",
    "    \"Имя\": [\"Анна\", \"Борис\", \"Виктор\", \"Галина\"],\n",
    "    \"Возраст\": [21, 22, 23, 24],\n",
    "    \"Баллы\": [89, 76, 95, 82]\n",
    "}\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "print(\"Первый взгляд на данные:\")\n",
    "print(df.head())\n",
    "print(df.info())\n",
    "print(df.describe())\n",
    "print(df.isnull().sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e42a8c2-c240-4f38-a0e8-9ced313f15d1",
   "metadata": {},
   "source": [
    "Поместить df в последнюю строчку блока."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "74ebc98c-87f2-45c4-96eb-bf404123cf4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Имя</th>\n",
       "      <th>Возраст</th>\n",
       "      <th>Баллы</th>\n",
       "      <th>Новый столбец</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Анна</td>\n",
       "      <td>21</td>\n",
       "      <td>89</td>\n",
       "      <td>97.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Борис</td>\n",
       "      <td>22</td>\n",
       "      <td>76</td>\n",
       "      <td>83.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Виктор</td>\n",
       "      <td>23</td>\n",
       "      <td>95</td>\n",
       "      <td>104.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Галина</td>\n",
       "      <td>24</td>\n",
       "      <td>82</td>\n",
       "      <td>90.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Имя  Возраст  Баллы  Новый столбец\n",
       "0    Анна       21     89           97.9\n",
       "1   Борис       22     76           83.6\n",
       "2  Виктор       23     95          104.5\n",
       "3  Галина       24     82           90.2"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59bd60df-09e5-4fe5-bb7e-b1bf8442255b",
   "metadata": {},
   "source": [
    "Добавить новый столбец с вычисляемыми значениями (df[\"Новый столбец\"] = df[\"Баллы\"] * 1.1)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "28f58f63-dd9d-4546-98bf-da954912c204",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Имя</th>\n",
       "      <th>Возраст</th>\n",
       "      <th>Баллы</th>\n",
       "      <th>Новый столбец</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Анна</td>\n",
       "      <td>21</td>\n",
       "      <td>89</td>\n",
       "      <td>97.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Борис</td>\n",
       "      <td>22</td>\n",
       "      <td>76</td>\n",
       "      <td>83.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Виктор</td>\n",
       "      <td>23</td>\n",
       "      <td>95</td>\n",
       "      <td>104.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Галина</td>\n",
       "      <td>24</td>\n",
       "      <td>82</td>\n",
       "      <td>90.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Имя  Возраст  Баллы  Новый столбец\n",
       "0    Анна       21     89           97.9\n",
       "1   Борис       22     76           83.6\n",
       "2  Виктор       23     95          104.5\n",
       "3  Галина       24     82           90.2"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Новый столбец\"] = df[\"Баллы\"] * 1.1\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b41aefdb-be65-4a52-9804-dd56f2b778f4",
   "metadata": {},
   "source": [
    "Применить .groupby() и .agg(), чтобы сгруппировать данные."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "847baaad-0963-4791-a4f1-ffcc2227664b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Баллы</th>\n",
       "      <th>Новый столбец</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Возраст</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>89</td>\n",
       "      <td>97.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>76</td>\n",
       "      <td>83.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>95</td>\n",
       "      <td>104.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>82</td>\n",
       "      <td>90.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Баллы  Новый столбец\n",
       "Возраст                      \n",
       "21          89           97.9\n",
       "22          76           83.6\n",
       "23          95          104.5\n",
       "24          82           90.2"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped = df.groupby(\"Возраст\").agg({\"Баллы\": \"sum\", \"Новый столбец\": \"sum\"})\n",
    "grouped"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed32ffc0-218f-45fb-a818-7658801bf11b",
   "metadata": {},
   "source": [
    "Фильтровать записи по условиям (df[df[\"Возраст\"] > 21])."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e658c7e3-0b3e-480f-95bc-e100d2689306",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Имя</th>\n",
       "      <th>Возраст</th>\n",
       "      <th>Баллы</th>\n",
       "      <th>Новый столбец</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Борис</td>\n",
       "      <td>22</td>\n",
       "      <td>76</td>\n",
       "      <td>83.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Виктор</td>\n",
       "      <td>23</td>\n",
       "      <td>95</td>\n",
       "      <td>104.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Галина</td>\n",
       "      <td>24</td>\n",
       "      <td>82</td>\n",
       "      <td>90.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Имя  Возраст  Баллы  Новый столбец\n",
       "1   Борис       22     76           83.6\n",
       "2  Виктор       23     95          104.5\n",
       "3  Галина       24     82           90.2"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtered_df =df[df[\"Возраст\"] > 21]\n",
    "filtered_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7c2c1b5-ba8f-492b-b5f3-19ea6f534bee",
   "metadata": {},
   "source": [
    "numpy: массивы и вычисления"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "1099cb4b-ac9f-406e-b891-32b4d35ea40a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Сумма элементов массива: 15\n",
      "Среднее значение: 3.0\n",
      "Медиана: 3.0\n",
      "Стандартное отклонение: 1.4142135623730951\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([ 0. ,  2.5,  5. ,  7.5, 10. ])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "arr = np.array([1, 2, 3, 4, 5])\n",
    "print(\"Сумма элементов массива:\", np.sum(arr))\n",
    "print(\"Среднее значение:\", np.mean(arr))\n",
    "print(\"Медиана:\", np.median(arr))\n",
    "print(\"Стандартное отклонение:\", np.std(arr))\n",
    "arr_2d=np.array([[1, 2], [3, 4]])\n",
    "arr_l=np.linspace(0,10,5)\n",
    "arr_l"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "1d530380-8223-4dc0-8c8e-c3d175affb15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0.47839745,  1.13223768, -0.59582346],\n",
       "       [-0.23686101, -0.56892059,  0.92912833]])"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "random_arr=np.random.randn(2,3)\n",
    "random_arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "249b1662-7714-4284-aa74-b589ef8ce59f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[18, 23],\n",
       "       [38, 49]])"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr2=np.array([[2,3],[8,10]])\n",
    "d_arr=np.dot(arr_2d,arr2)\n",
    "d_arr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7959fb17-e86f-4afe-b013-fb67e70d13ec",
   "metadata": {},
   "source": [
    "4. Визуализация данных\n",
    "matplotlib: построение графиков"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "bf48b1c6-b786-4668-a3b8-98372ded4401",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "x = np.linspace(0, 10, 100)\n",
    "y = np.sin(x)\n",
    "\n",
    "plt.plot(x, y, color='red', label='sin(x)')\n",
    "plt.plot(x, np.cos(x), label='cos(x)')\n",
    "plt.xlabel(\"X\")\n",
    "plt.ylabel(\"Y\")\n",
    "plt.title(\"График синуса\")\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "653fd24b-ca43-4b86-874e-d59ed622fb45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 4 artists>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fruits = ['Apples', 'Bananas', 'Cherries', 'Dates']\n",
    "sales = [400, 350, 300, 450]\n",
    "plt.bar(fruits, sales)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "08ad4577-14ef-43f2-b095-07bad4079a36",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1794f3d4b90>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x =[5, 7, 8, 7, 2, 17, 2, 9, 4, 11, 12, 9, 6] \n",
    "y =[99, 86, 87, 88, 100, 86, 103, 87, 94, 78, 77, 85, 86] \n",
    "plt.scatter(x, y ) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "b6426e74-c823-41d0-873c-a2ad563d2765",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([2., 0., 1., 0., 1., 1., 2., 0., 1., 2., 0., 0., 1., 1., 0., 0., 0.,\n",
       "        0., 0., 1.]),\n",
       " array([ 2.  ,  2.75,  3.5 ,  4.25,  5.  ,  5.75,  6.5 ,  7.25,  8.  ,\n",
       "         8.75,  9.5 , 10.25, 11.  , 11.75, 12.5 , 13.25, 14.  , 14.75,\n",
       "        15.5 , 16.25, 17.  ]),\n",
       " <BarContainer object of 20 artists>)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(x, bins=20, color='orange', edgecolor='black')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cce1b243-080f-4f35-b4ce-3acd388f94f5",
   "metadata": {},
   "source": [
    "seaborn: работа с графиками данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "7cf945d7-9eb6-4ddd-bad1-b259896c2903",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "df[\"Категория\"] = [\"A\", \"B\", \"A\", \"B\"] # догадайтесь откуда df и её содержимое взялось\n",
    "sns.boxplot(x=\"Категория\", y=\"Баллы\", data=df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "87779fe8-e747-4e36-a15b-b07b8b4c8518",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(data=df, x=\"Баллы\", hue=\"Категория\", multiple=\"stack\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "c98aca3e-575c-41ea-bf14-491daf07f512",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x=\"Возраст\", y=\"Баллы\", hue=\"Категория\", data=df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "85adc0cd-e278-4dc4-89b4-bc031d829684",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 838.236x750 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df, hue=\"Категория\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "e9c8db20-350f-4c02-9ffd-557aeb4019c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "numeric_df = df.select_dtypes(include=[np.number])\n",
    "sns.heatmap(numeric_df.corr(), annot=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a2814ec-bf4a-4e6d-a3e8-0ee639a9eb55",
   "metadata": {},
   "source": [
    "5. Прогресс-бар с tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "ed100955-9648-428a-82fa-4d3c8a5bcad7",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 100/100 [00:01<00:00, 90.31it/s]\n"
     ]
    }
   ],
   "source": [
    "from tqdm import tqdm\n",
    "import time\n",
    "\n",
    "for i in tqdm(range(100)):\n",
    "    time.sleep(0.01)  # Симуляция долгого процесса\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "32e9b8ef-574f-4ff8-8da7-7016c013b893",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Обработка строк: 100%|███████████████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 91.45it/s]\n"
     ]
    }
   ],
   "source": [
    "from tqdm import tqdm\n",
    "import time\n",
    "for index, row in tqdm(df.iterrows(), total=df.shape[0], desc='Обработка строк'):\n",
    "    time.sleep(0.01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "db875740-0f70-423f-b0c3-f9a3495a59f7",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Загрузка: 100%|\u001b[32m###################################################\u001b[0m| 100/100 [00:01<00:00, 90.21it/s]\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "from tqdm import tqdm\n",
    "import time\n",
    "\n",
    "for i in tqdm(range(100), desc='Загрузка', ncols=100, ascii=True, colour='green'):\n",
    "    time.sleep(0.01)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6001fc5a-46b7-496d-a42b-b1c0d88c14fd",
   "metadata": {},
   "source": [
    "6. Самостоятельное задание"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a977634d-ae19-46ba-bdd8-7880bd032eb4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 500 entries, 0 to 499\n",
      "Data columns (total 7 columns):\n",
      " #   Column                 Non-Null Count  Dtype  \n",
      "---  ------                 --------------  -----  \n",
      " 0   Age                    500 non-null    int64  \n",
      " 1   Gender                 500 non-null    int64  \n",
      " 2   BloodPressure          500 non-null    int64  \n",
      " 3   Cholesterol            500 non-null    int64  \n",
      " 4   HeartRate              500 non-null    int64  \n",
      " 5   QuantumPatternFeature  500 non-null    float64\n",
      " 6   HeartDisease           500 non-null    int64  \n",
      "dtypes: float64(1), int64(6)\n",
      "memory usage: 27.5 KB\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>BloodPressure</th>\n",
       "      <th>Cholesterol</th>\n",
       "      <th>HeartRate</th>\n",
       "      <th>QuantumPatternFeature</th>\n",
       "      <th>HeartDisease</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>500.000000</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>500.00000</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>500.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>54.864000</td>\n",
       "      <td>0.468000</td>\n",
       "      <td>132.874000</td>\n",
       "      <td>221.50000</td>\n",
       "      <td>88.766000</td>\n",
       "      <td>8.317407</td>\n",
       "      <td>0.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>14.315004</td>\n",
       "      <td>0.499475</td>\n",
       "      <td>26.418516</td>\n",
       "      <td>43.86363</td>\n",
       "      <td>17.417289</td>\n",
       "      <td>0.919629</td>\n",
       "      <td>0.490389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>30.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>150.00000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>6.164692</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>43.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>183.75000</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>7.675779</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>55.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>132.000000</td>\n",
       "      <td>221.00000</td>\n",
       "      <td>89.000000</td>\n",
       "      <td>8.323064</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>66.250000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>155.000000</td>\n",
       "      <td>258.00000</td>\n",
       "      <td>104.000000</td>\n",
       "      <td>8.935999</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>79.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>179.000000</td>\n",
       "      <td>299.00000</td>\n",
       "      <td>119.000000</td>\n",
       "      <td>10.784886</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Age      Gender  BloodPressure  Cholesterol   HeartRate  \\\n",
       "count  500.000000  500.000000     500.000000    500.00000  500.000000   \n",
       "mean    54.864000    0.468000     132.874000    221.50000   88.766000   \n",
       "std     14.315004    0.499475      26.418516     43.86363   17.417289   \n",
       "min     30.000000    0.000000      90.000000    150.00000   60.000000   \n",
       "25%     43.000000    0.000000     111.000000    183.75000   73.000000   \n",
       "50%     55.000000    0.000000     132.000000    221.00000   89.000000   \n",
       "75%     66.250000    1.000000     155.000000    258.00000  104.000000   \n",
       "max     79.000000    1.000000     179.000000    299.00000  119.000000   \n",
       "\n",
       "       QuantumPatternFeature  HeartDisease  \n",
       "count             500.000000    500.000000  \n",
       "mean                8.317407      0.600000  \n",
       "std                 0.919629      0.490389  \n",
       "min                 6.164692      0.000000  \n",
       "25%                 7.675779      0.000000  \n",
       "50%                 8.323064      1.000000  \n",
       "75%                 8.935999      1.000000  \n",
       "max                10.784886      1.000000  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from tqdm import tqdm\n",
    "\n",
    "df = pd.read_csv(\"dataset.csv\")\n",
    "df.info()\n",
    "df.describe()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "31326af7-1976-41c6-af4b-cbb8249d80f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='HeartRate', ylabel='Count'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(df[\"HeartRate\"], bins = 30, kde=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ec4ad280-73d1-40f1-b816-ff43267ba1a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Age', ylabel='QuantumPatternFeature'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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mX3M1Wk3CwhGEFUS3n0TZ6gZAmIGYCRisAJNTtn0nTZpVTBOGF9GEYUUqz0x2ZjoVf1mqjj9/4eFawkE6f4jXROZqvhLdrR/JLVKJZ0Cnn0Td6hYHIgyEEYiZiOHaQMaWAnbyrZ9UrT68ktcRDpLRYzoTmavRarpbP7Ztker0k6hb3VwXYQCkRMy899579Mgjj9Dq1avpxRdfpD322IP+9Kc/UVFREQ0fPrylfxakEBcHMh1LwZpvKz2Fg5SDqE4Kfp7I8rKTP1q5HueDRGfrx7YtUpMO9a5a3VwWYQCkJGne3/72Nzr55JMpJyeHiouLqbq6Wh3nypa33XZbS/4kSDFSScVsTBqnI1R0k6/ppuDnRHE/f2YxXfzcxzTh6UXq/bmH9VbnmayMdOWvkQg+zudthq/r3l3z6ODeHdTPRJOczu+EMbmgq1Y3JOoEYaZFy8Nbb72VHn74YfrZz35Gf/7zn+uODxs2TJ0D9uHqalLHCqCzKpeKnNFJwc+Ubq9R9YXqn6tfd6hsO08cuS26HiAxktaiZNuxruaICkqEuba1DSIkZlasWEFHH310k+MFBQVUWloq0S4gjKurSR0nUV2hIjHZ6aTgZ/Ky29CYxz5s1iH1tYnYik0FEs7EXtuxruaICkKEubi1DSIkZrp3706rVq2ivn37Njg+f/582muvvaTaBgRxdTWpi65Qae1kp5OCn+HPHtKnQ0KHVJsnvKivuHX9SmxzgNbBtAiDjw6wXsz84he/oMsuu4yefPJJSktLo/Xr19OCBQvoqquuohtuuEG+laDVuLqatC3MXTcFv6sTXtRX3LrbsbY5QOtguk+6vLUNIiJmrr32WqqtraXjjz+eqqqq1JZTdna2EjOXXnqpfCtBqwn75GqjKHRxwov6itvPdqzpHFESljCTfdL1rW0QcjGze/duev/99+mSSy6hq6++Wm03VVRU0AEHHEB5eXmpaSUQIayTq82iMIxJEW1ecetM+C4690pawkz1SVuvJQgnvsVMRkYGnXTSSfTZZ59RYWGhEjHAHcI4uZom6qLQ1hW3zoTvonOvq5YwG68lCC8tSnYxYMAAWrNmjXxrgDPwALt6U4XKr7L6mwpr89SkCptyrJjGxhW3Th4lnd8xma9GFxbNH63bShOP60dPjB1CD553CD057lD1fvG6rdbmh7HxWoLw0uI8M+wfc8stt9APfvADys1tmC8jPz9fqn3AwqiRsDp/AndX3LoJ4Vx07q2o3kn3jhms8hvVj47jnEV8vLLaXt8T264lCC8tEjOnnnqq+vmjH/1IRTPFicVi6j371YBwCgebTd62iT5b2xRGZ3Kdra/vMgAl/x0bt2MLc7Lojn+saDZR422jBpLN2HQtQXhpkZh555135FsCnBAOtjp/2ib6bG1TWFfcEltfqdgekxCzNbtrkyZq5PMARJ0WiZljjjlGviXACeFgo/OnjaLPxjaFecWtu/Wluz0mIUI2lG6nf3/+DXVtn60yQG+t2kkL126hY/fpQj18iNmK6uSJGis9zgMQBVokZt59992k5xOVOgDhEA5+VsCmtlhsFH02tinM6G596fyOhEWN+/66LVX0+tL1TWpzFXXOpXZZGdr33+UK7ACYokVPwbHHHtvkWH3fGfjM6ONazgtevZ64f1fat0c+De5VqFacbdtk0MclW2nFhvK61a3JLRYbRZ+NbQo7OltfXr8jZVErrdpJ981dmdTPRVfMxCuwJ9pqcqECOwDWipmtW7c2eL9z504qLi5WpQymT58u1bbQ42LOCx6AbzjtAJry8rIGkRXD+3Wi2878boA2vcVi48rVRiEaBfxsfSmH4P9bg4la1CprdiX1c+HzuqACOwDetGiU5+rYjTnxxBMpKyuLJk+eTB999FFL/mykkC5oZ2pLhz/nutnLmwzU81dtputnL69b9ZrcYrFx5WqjEA0C26K5vBYQUha1yu8LjnoVJNUBFdgB8EZ0ydqtWzdasWKF5J8MLZIF7Uxu6ei02/QWi40rVxvDl02LC9uiuXQWEFIWtcLvC456FSTVIQoV2AEIRMwsXbq0wXvOL7NhwwaaOXMmHXzwwa1uVBSQKmhnektHp92mt1iCWLnqiALbwpdNigsbo7l0hLiURY0jmI7q3znh5/FxPu+6MAbAeTHDgoUdflnE1OeII46gJ598UqptoUZqwje9paPTbtNbLKZXrn5EgS3hy6bFhY3RXDpCnEtTSAgH/r3bBQWIbcIYgFCImbVr1zZ4n56eTl26dKG2bdtKtSv0SE34prd0dNpteiVp8vNstDjYKC5sjObSXUDoCgcv65y0ALFFGAMQGjEzb948Ovfccyk7u6GptKamhv785z/Tz372M6n2hRapCdj0lo5uu02vJE19XipEgQk/FtPiQrpfSlwjPwsIL+Gga52DAAHAYjEzfvx4+uEPf0hdu3ZtcHzbtm3qHMSMuQk4iKgZ3XabHshNfJ60KDDlx2Ja9Er2S6lrJLWAcNU6B0CYaZGYiReUbMz//ve/hGHbIHUTcFDOgVFdcUqKApOTomnRy+2+ddQA+u3Ly1TYfv18RHw8KOEgsYCw0R8IgKjjS8wMHjxYiRh+HX/88ZSZmdkg6y/70rDFBpgFzoHmyGubqSbk+hN0HD7O522cFE2LXhYhN7/+KR3cu4MKj68fYXbL65/S784e1CDrbnNbSKm4Rq0V4jb6AwEQdXyJmVGjRqmfS5YsoZNPPpny8vLqznHCvL59+9JZZ50l30rgSVQtJabhon7jhhWp7LGNc9rwcT9F/0xPiiZFL3/Gvz7bpF7NnefPNZXEThJkd7Y3KSKILr7EzLRp09RPFi3sAIzoJRA1yrbvVLlrmstp8/yFh1s9KZoSvToixGQSO8kJGNmd/fkyQfAAa31mxo4dK98SAFqJiUGTJ1dORZ8op43fyVV6UrRp0tARISaT2DWYgF9cSu+tarkzcRSS2Hn1JV1fJtuyQIPw0iIxw/4xv//97+mFF16gkpISFZJdny1btki1DwSAzqRo08TJmBo0JSfXeGK1f3/+jcoIG69A/nX5DhqxTxdftbdsmzT4OiTLgMvn13xbaSyJXd0E3EjIMPx3+drd78OZOMx+ajp9SUeIMoj6AlaLmZtuuokef/xxuvLKK+n666+n6667jr744guaPXs2TZ06Vb6VwKqBzDbzssmoIOlVOfvevLF0QxNLwTH7dKl7v6F0ewPBs7VqJy1cu4WO3acL9SjMsTZU+JIR/ag2FmviW8THU5HEzotN26rpo5KtNPG4fjS4V2GdePy4ZCs9OX+tOu/nb4bRT023L+n6MiHqC1gtZp577jl67LHHaOTIkXTjjTfSmDFjaO+996aDDjqI/vOf/9CkSZPkW+ogtlkvJAYyxjbzsulQWanJte56r0p+vddtqaLXl65vIgqKOudSu6wMK0OF+TMnPL0ooW8RH+d6WZJJ7HTg5/DeMYPpqffXNtgm5GvJxxGFpP8s6QhRG523QXhpkZjZuHEjDRw4UP0/RzSVlZWp/z/ttNPohhtukG2ho9hm9tdB13Rsm3k5iEFTYnLVud6Z6Wl039yVDYQME39/26iBVk4a3KZkvkXSW0g6dMjJorvf/rzZa3nLjwZQ1NHtSxLbrVGK+gKWipk999xTVcnu3bu3ssj885//pEMOOYQWLVrUpMRBFLHV7C8xkDUsLZr4dxjbil/aiM71zspMbzL5xuHjlTW7rPz+preQdKiprU16Lfl81NG9b7rbrYj6AlaLmTPPPJPmzJlDhx9+OF166aV0/vnn0xNPPKGcga+44gqKOjaa/XWQmBSDMC/zoHji/l1p3x75TXwhVmwoD3TQZGferZW81biL8nMyqUO7LOqW31b7em+pauhc3xi2fuxRmCM+aZgMX9axckls2VZ55ACqqt5NUcfPffMSolGI+gKOi5mZM2fW/T/nm2ELzYIFC6h///50+umnU9SRnsxN+d7oDmS2mZf5Wtxw2gE05eVlDbY1OCPvbWcODGzQLNlcqdpU3xoQb1PvTrla15sdaJNRkNNGfNKQ2CKVbJNYbaacLM9rGXX83jcvIRrmqC9gF2kxLrQUYsrLy1W9KPbryc/PN/KZqzdV0PF3z2v2/JzJxyh/ARt9b/jzmhvIOHJG53dYfF06q7jZSVp6m40/b+Ks4oTWsFR8nq5FZvILSxJua7Cgueucg5WFRudaNvfdOMS5fjhxXPS21ilZ8lq2tk2S7THdL11Goi8BYHL+bpFlhvnTn/5EDz/8sKrHxFaZPn360B/+8AcqKiqiM844g6KMVC6SIHxvdFZSOuZliSKDLm/r8dZSc/4ZfE34PIsZnWt5u+ZK2ZRTsk5NJak2Sd5bbHtQpMPOw4BrEbImaZGYeeihh1Q+mcsvv5ymT5+ukugxhYWFStBIiplt27apCKmXX36ZNm3apIpd3nPPPXTooYeSrZ1KatAMapLWGciS/Y6fIoMS2BnNs0v7vE2met1racpiKH1vse0BXMXFCFnrxcx9992n8sxw4cn6/jNDhgyhq666SrJ9dOGFF9Ly5cuVJahnz5707LPP0gknnECffvop7bHHHmRrp5IYNG2cpCWLDEphZzRPZqvOB7VS1rmWJi2Gqbi3sDoA13A1QtYk6S35R7y1xBaSxnBYdmVl8hTlfti+fTv97W9/ozvuuIOOPvpo6tevn0rSxz/ZOmRjp+LzcbhzsW8MWyj4p9/OZuMkrUMQ0UwsJhMRVAhoh9wsta2WCD7O521E51rq5iPyszj4bEM5fbhmM/13Q7l676c9QcHPOvvHFZdspdXfVDR49tEmIHlPpJ+5MNIiywz7xSxZskT5ydTnrbfeov3331+qbbRr1y61hdW4OndOTg7Nnz+fgsDk1o+r1XlNi7AgfCG89q7ZH4ajlq57eRm9V8935qh+nWj6mQPrwrNtQ+da6tRU0mXd5krlW9U44ouvUZ9Oudb6udhW0sNPm4A5pO6Jq1Z668XM5MmT6ZJLLqEdO3YQB0MtXLiQZs2aRTNmzFA1m6Ro3749HXnkkXTLLbcokdStWzf1OexwzNaZRFRXV6tXfW9oV8OubR3IbRRhaUR0ysAeNHZo3zofHa61E+QA1SYjnU4d2JPG1fMb4jbxcZvh73Dn2YNalR9H9zo2FjJxB2kWgXf8ZJBqi58tWxPiwcaK0diGsA/Je+Kqld56McN+LGwd4SKTVVVV9NOf/lT5s7Bj7ujRo0UbyL4yEyZMUP4xGRkZKtMw14L66KOPEv4+CyouhJkqJDuVKd8b00hWg9aB/8Y1CQaNVITc6g5QJtskjVe/FIvW274zacQXn48/Bzp+LqbEg40Vo22M6It6JI/kPZFeIJY5di3FxUxtbS2lp3+3qjzvvPPUi8VMRUUFde3aNSUN5HIJ8+bNU744bGXp0aOHStS31157Jfz9KVOmKMtRHP43vXr1cjrs2kWHRZ1q0FKTj8mBXPezgphcpIShTr+UsBiWb5ezcpq0TNhYMTrs2xDSQtXEZC55T2xMQum0mGnTpo2qyRQXLldffbUSD6kSMvXJzc1Vr61bt9I//vEP5RScCHZCTmV9KNfDrk2gWw1aavIxOZDrfpbpycW0MJSwGPIkImXlNPk85WUnHzZzszON3/8wb0NIC1VTk7n0PZF45spCvB3pS8w0Thb8yCOP0EUXXUQdO3akVMHChT933333pVWrVikBtd9++9H48eMpKHQ7VTL1z8faZWXQhOFFTeoJPTl/rdMrKanq2zbuJ+t+lsk2SQ5Qfibh1loMOTydnX3rJ1aMw8f9hK+b9GXLykinYf06Jdwi4+N8nu9/sudbWly4GixgWqianMxTcU9sSkJpGy3OAMyYqITAaYzZ+vO///1PiaazzjpLJepjK1GQeHUqL/XPdWDuHTOYnnp/bYN6QjwY8nGvVavNSFbftm0/WfezTE4ukll7/YiwZEU0deAJnp2juS/UFwb8DMSdpm30ZSvdXqOSQVKCdvPxsu01KhLryXGH0n1zVzZ5vvm4tLhwNVjAtFA1OZnbeE/KQ7wd2SoxY4JzzjlHvVxCR/2zKZqFTOPVHb/nyByu3eMqUtW3bdxP1v0skwOZZNZeXRHmVURTB3bwnTSrWFkvJjTKFM3Hn7/wcM0r8F27uVZVczWs/PiyTX1lOQ3qVUjjvo+Mi1tUpr2yXGWvzstuQ2Me+7DZdr82cbj6Ww/MXZXw+U5PS1M1taRxMVjAtFA1PZnbdk/yQ7wd6VvMcBmDdu3aqf+vqalRVhIuBFWfu+++m6KM7jZLskiOih27qJuZupjOVt8Oaj9Z97NMDWSSWXt1RBhbZBoLmXi/5VDreBFNnXZX1exuYLlo3G4/DpuXjOinqow3tpbwcV02V9bQ6MN6J7SYstWFz/M9HNKnQ8J2N0gs2MhnLM57AZcicQ1JK2cQk7lN96RziLcjfYkZzsK7YsWKuvdDhw6lNWvWNPidtDS2K0Qb09sstqFrlZC2XASxn6zuY1qwA5nOAOXnu3mJMN0imlJbdjoWJf6MCU8vSmgt4eNsLdG5D7tqY81aTJkbTz/QeGLBqCNp5QzzZO7q1lcgYubf//536loSIkxvs9iYN0Ci+rZp2Nch+XmzRRZ1ScXkmkyE6RbRlNiy07Uocb9PZuXRFQ+1tQ0tO/Xh47trY1p9N8zm/CCQGivCPJnrzgW2jbuR8ZlxEdPbLLZNrn6sEqZNsMke9HZZyR8Hjk6xNbTR5OSqU0RTastO16Ik9f2qapILNRZMjUlknYu6BSCVeFlDvQjrZO5nLrBp6ytQMcP1kp5++mmaM2cObdq0SSXTq8/cuXMpypjcZvE7udpmwbHpQU9PT0sacpuRnmZ1aGOyAUpyco0X0WwupJrP+7lOya1AO1Xb+Jnomp9NFTt2U/u2mcpvh+9l3OIi9f0KcjzE9/dRhlKO4rZi2zghvWAL42ReZulCy2oxc9lllykxM3LkSBowYAD8ZALcZvEzadhqwTExAOs86JnpaUlDblnMxLeaXPOFkJxc40U02dl3foJoJj6/vnSrSB6lwpw29NyFR9DNr/+/JpFTfDwr47uxx08JjWToiCI/VqdkNa5sFRi2jRNRmKQl7u23Fi+0rBUzf/7zn+mFF16gU089Vb5FIcLENotuqKFOyKnLHd1rANZ50HmimvHGZzS4d4cmTqR/WViirpFXaiWbfSEkJ1cOv+aopbq/1TZTWWTif0sqj1J2mwy6/pVPEkZO3fL6/1PFKP2U0JAQfas3VWhNGpKiwJTAsFE4hH2SRmXtAMVMVlZWs1WrgVl0fQV0Qk5tHhBaa3XRedD37ppHN50xQP2b+teosfXCVV8I6QmRhUtzQoiFcrI8SvVFiFf9pmSRU3ye265TQkO3f3uJPp2+JCkKTAoMfsY+WreVJh7XL6FFLQjhEOZJGpW1AxYzV155paqQff/992OLKWB0fQV0Qk6lkTKLS1hddB90r62/oHwhWnstTa+4uZ1JRciOndSTvAWUbuSU5Opd9bcXGwqj+v1Npy9JtsekZaKiemdSi1pltXnh4GeSts3Xx+XK2pEQM/Pnz6d33nmH3nzzTTrwwAOblBZ46aWXpNoHPNCdXHVDTm2zAkhZXYo652o/6F5bf9LREF4DsMS1NG2qL9++q1Xn/UROSa7eVX9rJGTi14jvAWfu1Zk0JPPMmLRM8PbgHf9Y0eyiZ/qoAZQKTOUjsg1bK2tHRswUFhbSmWeeKd8a0CJ0JteWhJy2FEkrgJTVRfpB1/V1aq1QkbqW5qs464kQicgpSRP7pm3VSTP38vn+3dp79qX8tjWCofDmtg927KpNuujh89KYzEdkGzZW1o6MmNm1axeNGDGCTjrpJOrevXtqWgV84zW56oacWlflViOR3d5d9Kwuph90r+0KHadsqWtpej9dV4RIRE5JmthLPaLV4tFsXn1J0uRvcvtAyqKmi+l8RLZhY2XtyIiZzMxM+vWvf02fffZZaloEUoLRAVHQCqCTyM6P1cXUg66zXaHjlC11LU3vp+uKEInIKUbK8pableHZ3+p/ZnN/1297klnwTG4fSFnUdJHKR6Sbvds2or41JEmLeuZhhx1GxcXF1KdPH9HGgNRhdkCUswLoJLJjpHN6tBad7Qr2UvJyyuZrmSxfi+61DGLQ1BEhEpFTcSQsb7lZmUn7G5+XThuv4+uh+7da6wArZVHThdspkY9IZ9FjK1HeGgpczFx88cUqoul///sf/eAHP6Dc3NwG5w866CCp9gEHHxpJK4BOIjsbnf90tivysjM9nbK7FmTTk+MOpfvmrmxiveHjfq5lEIOmjgiRpLWWt8J2bejS4/on7G98nM9Lpo334+vh9be8tjV1BI+kRU0HqXxEuoseW4nq1pAkabGYVxqwpqSnpzf9Q2lpxH+Kf3K5A1soLy+ngoICKisro/z8/KCbExl4YG3OCtDDZzTTVX/9hPbtkV+3cosnsluxoVz5lTATZxUnNFfzZwbh/Pfp+jI69d75zZ5/Y9Jw2rFzN/34oQXN/s5LFw1V/kATny9OaOU5qn9ntV0V/26c7dYWy5TLbCjd3iCTMPc3tqRxJuHu3/s6SfU3TsB3/N3zmj0/Z/IxKv+RF6pNGv1EV4Q16EutsKh5wZ8z+YUlCUUICyi27Ol87ppvKlQEWWNLZ3zRs1fnXNqri/d1BHbhZ/5ukWVm7dq1LW0bcACJXA2SVW69EtnpZmQ1Sa7GdkV2ZobnqlX5FCTZrop/t5LNlTTl5WVNUv7zapq3e4A+LLZPHdC9Qd8d0qdDSpxNpXyidLY1GV0rkCmLWsWOXUnzEfH5bhpr0E653tm7ATmbj0eHFokZ+Mq4i4mcJtKmUy9hZGOGUN3tCol8Jby6bSxk4pMBbxform6DGuxsHFiT9V0pPw9J/zIvB1c+n56WFojoT3Z/pZ5dnUUPICu35KVosWv6n/70J3r44YeVlWbBggVK4PzhD3+goqIiOuOMM2RbCUSQzGliegJKNrnYmMab29qnYzs67aCeDVaKvELu27Fd3XeRyFfC2wHJVrd83o+YMTnYNd7S2Vq1kxau3ULH7tPF13akSaT8PCT9y3KzMz3PByH6vfqS5LMLR1pvXM3HkzIx89BDD9HUqVPp8ssvp+nTp9f5yHAyPRY0URAzNq4mW9uJdeuy2Kbs89pmJo3A4PM2bldI5StZ8XVFq0oCBDXY8Wet21JFry9d38R6xRmb42H3tsHCIFndKbaE6SIVZcZVZZJta7L/q2nRr9OXpFMGSCWzDCvfOpqPR4cWjfL33XcfPfbYYzRq1CiaOXNm3fEhQ4bQVVddRWFHdzK36YHR6cQ6dVlsVPaV1bto3LAiFerceFLk43w+KHQG19bmK5HMDSI92CV7BkqrdqooreZC028bNdDKgVWn+KUfS5iERYGj/i4cvheNHNhDfXZ8IbKxbDv1KMhR0Tymcw3p9CV2br511ICE0VN8PBX337bFmEnKLdySl6LFDsCDBw9ucjw7O5sqK5Pv8buO7mRu2wOj04k5+iVZXRaeXGxU9uwPMGlWsfJhaOz8x8efv/BwchmvyU4yN4jkYOf1DFTWNO/8ycf5vI3oZgk26V/WJS+bNlfU0BvLNjToB0f160QTj+uvzpvONaRbXfzm1z+lg3t3UFFH9Z/dW17/VDnuSrbLxsWYSfIt3JIPVMywX8ySJUuaOAK/9dZbtP/++1OY0ZnMGdseGJ1OXLM7eV0WPl/hYeUIQtnzd+PaUvWtSWF5QHUmO8ncIGIOqRqTRqVHPTDJemGS+MkSbJL7565sImjf4/dpaSo027RfiW518X99tkm9EiG9OLJxMWaSziGurN0iMTN58mS65JJLaMeOHSq3zMKFC2nWrFk0Y8YMevzxxynM6K5cbXtgJCr98nZNUMpeoqquxGfZilS2XalrqTNpFHo4ykrWC5Mk10eWYFN8F5q9OWlotm7yPSlMVxeP+jZL1MsntOipu/DCCyknJ4euv/56qqqqop/+9KfUs2dPuueee2j06NEUZnQmcxsfGD3fC+/ImSCUvURVXV+fpZFF1UYkcoNIXUudZ4CdfDmhWyLRw8c5wslGdMPuTQrjVGx92TLmSBLmbZaoR321eAlx3nnnqReLmYqKCuratStFAYnJvP4DIzXY6fwdicgZ08peqqquVHFI1x94nSzBEtdSZ9Lgv3e7cF8yIR50w+5N+s352foyaXk0WV1cBz+f56KFNsrlE1pUzuC4446jl156SYViN049zBFOc+fOpTCXM/BK1c8PwaWzipt9YKSdhCUHTd0yBPEHPdXKXirduw4rv95GJ/7+3WbPv33F0dS/W3tyFZNZgnWfAcm+ZNrpPlm7JUse6LDu20r67eymiRPjFiN23u/TOdfKSEyp0ieSn2dbAEdUKfcxf7e4NtPGjRubWGM2bdpEe+yxB+3cuTP0tZm8BmAdwSMx2EkPms3VpQkqiVlxyVY688EPmj0/++KhKhJCgkVfbKGzH26+VtKLvz6ShvTtSC4iVQPH1knKtHiwSYTHv/9nG7c1CXWPb33t3/07Ea5zjYKYyE0tjnQ+z7a+FGXKU1WbaenSpXX//+mnnypBE4cT53E0E4uZKOBlpvMyr0p51esmutOBH+JrEmzpBPkQm9zjtjVKRQLpLMG27c2bzI+jg2m/OZ2tL50aZkFFYpre9kj2eVGPeHIVX2Lm4IMPVlWx+cVbTY1hp2BOqAf06rtIDHY6ie50sfEhNrmnnmthlIoUXlmA/WQJtnGSMpkfx1ZHU6+M065GYprGxgAO4E2m32R5vCu11157qXDsLl261J3LyspS204ZGe6uXk0iNdgV5ngnutOlbHuNkxERQUSpuIZklmAbMZkfR6c+WdD5PJTvANdWCEEkZipIdu/4OiUrJBqFiCcX8TWCxZPkvfPOO8pKk5nZ8J/zVtO7775LRx99tGwrQ4hUPSGdRHe6tPOwPAS1zWJqu0I3SsVFJLME24jJ/Dg6fiVB5PPwapN0JKar6FynJ8cdqvyPGlu7+bjLieXCTIuWY7zFtGHDhiYOwKWlpTRixIi6wpMg9fWEvDLy+qlLlJ6elnSbheu7BIWp7Qqd4pAuwv4w088cSNclyBLMx6X9ZUxjMj+OyXQBuui2Secanbh/V9q3R34Tq8SKDeXOT+Q614l5YO6qhNbu9HrZlEEIxAxvNbHfTGM2b95MubmyIZ5hRaqekOTePBer+/nwIkqPp0GvV99l/PCiQMWMScKYg4EH8Tve+q+qf/ObU/ajih27Ka9tBm0qr6Y73/qvEjSuf2funacM7EFjh/ZtYFVLRQp+v34libZ9JNFtk5fA4p83nHaACuGvb5WIh/C73kd0y9E0zjUV572I+A2FXsz8+Mc/Vj9ZyIwbN04VlozD1hiOdho6dKh8K0OIVD0hyb35TrlZ9G1FtZoQ2DoUnxA4rDcvO1OdB27CA/Dfl21Ur0RcceK+Tg/QUpF4uin4k/lUxP1KTIY4+/F1SSbW+TpeN3t5E6sEW/Oun73c+bBknevklaskLH5DkRYzHO8dt8y0b99eRS/VdwA+4ogj6Be/+IV8K0OIVCZK/nnrqAEJiwzycb8Dz31zViVclXB6+frm1TBnxwwjNjt2SvQlqUg8na2YgpyapBGE/B1MV2eWstDaGNEoicR1CoPfEEVdzDz11FPqZ9++femqq67CllIr0N2/9lrd8aB58+ufqsRx4xttV93y+qf0u7MHaQ8+aiDTMK+GPTtmGIWarTVppPqSpFjz2orJzc5UQiaRTwXvJHECwlSIAhPRU6UeEY1e521/LnWvU1grS4eZFvnMTJs2Tb4lEcRr0NRZ3fG//ddnm9QrEX4GTUnnR1exMd27BEGHCidCsi9Ji7VkWzEVO3YlTUDI56UtYaaip7wjGjOdFr2618l0JJpr44mNtLhnvvjii/TCCy9QSUkJ1dQ0VOsff/yxRNsiQWszUUoOmuwXkwxekYbZDK07ubpomQoiVNgLyb5kUqzpPHOS4spk9BRblpJFNAYRAiC9gNK5TiYj0aTHk7KICqMWiZl7772XrrvuOuUE/Morr9D48eNp9erVtGjRIrrkkkvkWxlRuDN6ORpKDppZGelJBzI+v6WqJrTOcbqRDq5apqQHaJ0K3MmQFOImxZrOMycprlpSsqSl0VNp6aS2qylBygg+zudNk4oFlE7EoomoRmmhtj6gYqs2CKcWiZkHH3yQHn30URozZgw9/fTTdM0116iswFOnTqUtW7bIt9JRdG50UufenDaejoYcYSQ1aPJ+eLKBjDME2+p7oUuy6x2FdO9SA7REBW4/fUnnWTK1mtYRKpLiSrdkSeMisVurdtLCtVt8FYnNzkin5z9cR4N7d2iSMoKPTz3tADKNzc7rNgm1MsMuALZZqFskZnhrKR6CzRFN27ZtU/9/wQUXqIim+++/n8KO1+Cqc6O9fkfH0VBy0MzLbkNjHvuw2dw3r00cLhaFFQRe1xvp3vUtMo2FTNxfhKPqdCtw52RlJM1KzOf9DpomVtO6zxy37c6zB7XKeqVbsoSftXVbquj1peubLESKOucqC6/OdeH8Vz89vE9C4cQLmvIASpq4voBKhuR48q0PYdTasZn//dRXltOgXoU07vu8TnFr4bRXlvsKPAlUzHTv3l1ZYLi8Qe/evek///kPDRo0qK52U9jRiTDSyTLp9Ts6jobd8uVWpPxvONttotw3flectql2nXuCdO9mK3BzX02WBfs7h/MM6wZNRueZk3oGdEqWlFbtVOn3kwkeneuks6AxjY3O6zYKtXJNYSTRLzdX1tDow3o3K3r5vBNihssZvPrqqzR48GDlL3PFFVcoh+DFixfXJdYLK7oRRlpZJgWdeyVWpH5WnK2NwjLd0XXuyd5d8yKf7t1kBe6y7buSZsF+evxh1CbDvkFTN/mc1DPgtTrftmMXtW2TnlTwVNbsElvQmMZG53Up+HpKjSf5GsJIql/uqo01u2vA3Hj6gWSaFokZ9peprf2ugCE7/Hbq1Ik++OAD+tGPfkS/+tWvKMxIRRjpZJkMwryqa+VpbRSW6QFIVxhGPd27yQrc/HvJsmDzeRsHTR0knwGdArDbPGqw8XV2WTjojku2bW17ITmedNawYEn1y9raWFLxvLs2Zr+Y4S2l1157TYVjH3/88fTDH/6QRo8erV5RwFRYpnREhB9aa+Wx0a/Ezz2Jcrp3kxW4df5Osi2toAZNqUhEyQKwhTnJ+zcHE+hiMixZclyybWtbB8nxpEBDiHIpjmTo9suqGhnxHJiY4a2kc889Vzn9tmnThu6++266/fbbVTbgqKAzKea1zUw6SPP5tpnpohERNq1IbHTYkxKGNlqdTMP+MLxqTFRCg4/rOrjq/J2vtlYFMmi29nnSiUSULADLUY1cciRR3+TjHOHkBxOO1JLYuLUdxHjS00OISkUQFuR4hLX76N+BiJkZM2ao2ksPPPAAZWRkqPe33XZbpMSMzqTI+/jJHBsrq9lxV88/Q9vR8MWlDUoRBLkisdFhT8p8HpTVySaxynD4NUct1UXqtM1UlhS/kTpefyeIQVNiha8TiShZAJb7Avfjxu1mIXOH434lYV5kpGI8KUgiRHXHZq9nwMYxPi3mI/woLy+PlixZQv369VPveauJ6zN99dVX1LVrV7KR8vJyVSCzrKyM8vPzRf4m3+jmJkXO51BcspXOe/zDBibmuGMjm5ifv/BwVUup/iTVUnMu//uJzxcnLQ4ZxEPsdY2CorXXe/WmCjr+7nnNnp8z+RjlSCyJi+Zzyft16aziZgfNxituiZDTibOKW119W7Kf6D7jjfPM8JizaVu1rzwzrsJj7pkPftDs+dkXD60bc20iiPGkZHNls9ZQXlzoPgMmxng/87cvy0xVVVWDP8iVstu2bUsVFRXWiplUoGPKS+bYqOufoQMPVsmKQ/J5W0NXg6C119v0isRV83kQFjUJ0Se1whfPH+JRAJa5JkE/8SvCXMXGrW1bx5ObPQoT6z4Dto3xvh2AH3/8cWWhibNr1y6VBbhz5851xyZNmkRhR8KUJ0GpRxIrToIV1JaGa/vuNkZ72Gw+b205A110Bk0p0SclQoLIH2JrPzGBjdseto4n//IoTGw6JUggYoYT5D322GNNEuj96U9/qnuflpYWCTFjsoMmExe532dJbQ6OqPCDREr0sGNyRWJjZJhUOQM/eA2aUqJPSoRITq7ITO1uSLmL40m+o1YuX2Lmiy++SF1LQoZUB/UseZCVmTRsk8/rIpUSPQqYWpHYOLBIlTOQRGoylxIhkpMrMlPrYdu2h6vjSWdHrVwtSpoH/JGsgm0yq4uO6bywXRu69Lj+6nhjAcLH+bzu50mlRAdy2DiwSJUzkB6kk+V10Z3MJUWI1OSq2ybb+kkQkXg2bXvYGInY2XCRVGujmeqzaNEieuedd2jTpk112YDjcP6ZMEcz6SBRaFLX0725KIYR+3Sh7vW2hhr/Hg/2vMqObyF9ur6MTr13frOf98ak4XRAzwInH2KXsS0yjLcdz3lkQbPnX/jVkXRYUUejbeK+9tnGbU3EeFzU79+9ve+oJttW+F5tsq2fRD0Sz8/3NzlWrtfsJzY8AymLZorDuWWuv/562nfffalbt27KTyZO/f+PKjoVRRkvq4uu6Zw74KkDujfoeFxfpbGDpNcWUqVHAjI/CcqiPoiF2XwuVc5AmgfmrkpoVUxPS1Phy66v8L3aJNlPJCbXqEfi6VaWNj1W9hQoWWMjLRp17rnnHnryySdp3Lhx8i0KAToVRdke5uWwKJWCX3cLSSoletQHsVRg08Dip5yBqRWnTviyLdfP9n4iNbnaHIlnyzzABDFWFlg0ngQqZtLT02nYsGHyrQkJOsXxKqp3edZuYYuJ1D44V831qqq7R2GOSEr0qA9iYUe3nIHJFWfUo3mk8LsQSSZWo35PdOaBVIyVZRHd3m+RmLniiitUSYM//OEPFFWSdRidiqI6tVskHbF0tpDiKdFdTfkPzOFVhsC0dU466ivME0Ky7+ZncvUSq1G/JzrzQMXOXaJj5foIb++3SMxwLaaRI0fS3nvvTQcccIAqOlmfl156icKMV4fRqSjKA79O7RapfXDdLSSJz7MxnNh1bBzIWbg0F7Vk2jonGfUV5gnB67vpLkR0xKr4PbGo/pwOOvOA19a9n7GyLOLb+y0SM5wUjyOZRowYQZ06dYqU069Wh9Eojlexo/ltHzbd8/lu+XL7m7xFpLuF5FrK/7Dj4uRq2jonZcUM84Sg8910FyI6YpUjLfnaJ4qg5EhLX/ekkZCJfw5/n6Dqz3mhMw9IjpXfRnx7v0Vi5plnnqG//e1vyjoTNXQ6jE4HXfNtpfHBXmILSfezXMxTYCOuTq5BWOd4ScWVpcd+HzkST1HghzBPCFJjlx+xynk/3li6oYlF5Zh9ujhff862nC5l22s8zod7e79FYqZjx45qiynV7N69m2688UZ69tlnaePGjdSzZ08VQcVh4UFZg3QeYl6ReHXQ/LY1xgd7kyG+toUTu4qrk2sQBfQkCi2G2d9LauzSFat1QnxV64R4KurPmUBXqEiNle08sr37LW0TCTHDAmPatGn01FNPUbt27ShV3H777fTQQw8pS9CBBx5IixcvpvHjx6skOkHVf9JdcXp10Ly2mUnDW/l8KjAZkhfG8D/TuDq5BlFAz6baTDb6RPkZu+48e1DSIqI6YlXqnkjXnzOJyZwu6elpSUvbZKSH2x2kRTPmvffeS6tXr1YJ8/r27dvEAfjjjz8WadwHH3xAZ5xxRt12Fn/WrFmzaOHCheTCijNZB62s3kXjhhUpM2zjJHZ8nM8D4LIztW0F9HTg9iXzLUuFv5cpnyjdsUunPXwPbx01IGF4Ph/n81Jb6bmC9eeCwNSiLjM9jX4+vIjSefut3rU6ivPaDC+CmEnEqFGjyARDhw6lRx99lD7//HPaZ5996JNPPqH58+cnLZdQXV2tXvXTIQe14kxad2n7Tpo0q1jlmZkwrKhuj7/4y1J1/PkLDxdtN3AT152pbSqgp8vEEf2Is1o2nhDUcWFM+kTpjF267eHfu/n1T+ng3h1UArj649ctr3+qsttK3RO/9eeiSqdctoZVK7+xcfXuCTtc52VnqvNhpkVihreYTHDttdcqMbLffvtRRkaG8qGZPn06nXfeec3+mxkzZtBNN90U+IpTJwcDh+bVzzHjyoobmAPO1GZFH2dl5ecy0YTAx/m85DU37RPlNXbptod//uuzTerV3PeSrEDep2M7Ou2gng0Wfuz427djO+0FZFBw30m2ZSfJfXNWJXSWZqui35IermG1fe6FF16g5557jp5//nnlM7NkyRK6/PLLlSPw2LFjE/6bKVOm0OTJk+vesxjq1auX0RWn6RwMwDwmB004U5sTfZy19fH5a5rd0uCsra77RCUbu3TbI+lMrINO/TkbUxiUbK6kKS8va9Cf4pmyOfGkJN9GvKRHi8sZJIsmYguKBFdffbWyzowePVq9HzhwIK1bt05ZX5oTM9nZ2eoVJLo5GLDidpMgBk2d7RobV6VS6Hw3CdGnk7U1zD5Ruu3x40zMzwVvq8fvCedXaUkV79YuIE0/C2yRaSxkGPYxYl8jTowqaaEpdzRYIFAx8/LLLzd4v3PnTiouLlZRR5JbPFVVVUo41Ye3m2pra8lmdDsVVtzuYeOgGZTAMiWe/Hy31vro6GRtlcSPhVbqeif7O7rt0f09U5YJG1MY8NZSssSofF5SzORbJoydEDMcYdSYn/zkJ2or6C9/+Qv9/Oc/l2gbnX766cpHpnfv3upvs2Bi598JEyaQzUhWuw77its1bBw0UyGwvPqcKfFkWjzqZG0NYntM6np7/R3d9uj8nknLhI1WCfaRac15v3SOuOuCqM/MEUccQb/85S/F/t59991HN9xwA1188cW0adMm5Svzq1/9iqZOnUo2gzox4cXGQVNaYHn1OZMCw+UaT7p4WWj9XO+kEZSaf0fXYuz1eyYtE36tEmby+mS26rxfCiIeLCB2Nbdv367yz+yxxx5Sf5Lat2+vKnO7Vp0bdWLCi42mXEmBpdPnTAqMIGo8eeVPSQXJLLS619tLhPq5b7rbdcmdic1ZJvyIUFMLRC4mnCwxKp+XpqdGwsOw0iIx06FDhwYOwLFYjLZt26ayAXPpASDjD2PjlkZQ2LLVZqMpV1Jg6fQ5aYGR7N6aFo86+VNM9zud660jQk0LQ7Y8cHZezqU1uFdhXaHJj0u20pPz14paJnQXkCYXiCwg2DcokTDm46kQGOsjbMlvUW/6/e9/30DMsJNuly5d6PDDD1dCB8g4I/oZfGyZ7FOBTQ+ojaZcSYGl0+ckBYbXvTVd9kMnf0oq7nFrBZ2OCDUtDDvmZtETY4fQ/e+sapBPi0Pc+TifN11o1PQCkZ2c2TeozlLSNlNZZFIhZMqqamjqK8tpUK9CGvf9NYiLx2mvLPctxF2bU1o0Ehx33HEqd0ui8OySkhLlsAtaj+7gE+ZIFhu32myLQpMUWDp9Tko86dxb02U/gvCJ8np+da63TumAos65dOL+XWnfHvlNLCUrNpSLWxVZTDz4zqomfjP8Pj0tzXcSNy9/IJ1Co0HcXxYuJrZ5NlfW0OjDetNT769tIh7Zyugn4aNNC8iUipmioiLasGEDde3atcHxzZs3q3NSeWaijs4gFsRkb7KjS6+kpESYqTT90gLL6/vr9Dkp8aS7pWWy7EcQ21o6z6/X9c5vW+PZbv69G047QEUY1Z/s4tse0v35uyRum0WSuEn5AwXh82Zq4berNqaETCLxyOgmfLRxAZkyMcM+MomoqKigtm3D72hkCp1BbPWmCqNmU9MdXXIl5eJqQ1Jg6RYQ1BEqEtYp3S0tk2U/TPtE6U7CXtdbd+Fz3ezlCUOlr5+93NpnV9IfyPT9NTnm1AolfHTVV9OXmImXCeDtJQ6PZoffOGyN+fDDD+nggw+Wb2WE8RrETJtNTXd0qZWUq6sNKfx8f12h0tocSSa3tGz1ifLz/Ca73jYufKSeXUl/IJP31/SYUyWU8NHG9BPiYoaT1sUtM8uWLaOsrP+7Efz/gwYNoquuukq+lUChdHUjNyXTZlPTHZ0nK4l9fldXG1L4/f4S22gSviBBOFyb9ImSfH4lFz4SWyNSQlSn3ewPpPtZpu6v6TGnQCjhI/fJZFFotmYS9iVm3nnnHfVz/PjxdM8991B+fj5FFVtSuZteuZru6FL7/K6uNqQw/f2lfEGCcrg25ROVque3NQsfqa0RKSGq026/n2Xi/gax8DtaoC/x7z057lC6b+7KJo7EfNzWTMIt8pl56qmnKMrYlsrdz0PcWhFmuqNL7fPbmOzOJKa/v5QviK0O11JIWp4kFj7SWyMSQlR3kpYWva0dK00/cwWCfemBuXJRaFaLmcrKSpo5cybNmTNHlRloXPhxzZo1FFZsTOWu+xBLiTCTHV3KVGtjsjuT+P3+rR3IpXxBooDEJCy18EmFX01r76+fSVqqL0mMlTaWxtB5vr+LQvtWJArNejFz4YUX0rx58+iCCy6gHj16JMw3E1ZMhgpLTghSIsx0R5cy1Qbhe2ETfr6/xEAedUuYX1o7CUstfPw+b6a2201uNUolnwtqzCnQiWp8cWmDcbz+8+3qlnyLxMybb75Jf//732nYsGEUNSSd6LwmDdNp6nUeLvMp0c05SIYdne8vJXpttoS5ltlUB6mFj5/nTVf0upbbSTL5nG1jThk/342EDMPPKd9Ltqy7uhBpcW2mjh07UhSRcqLTmTRMp6nXIS87eZfJ9TjvF+lJMepbGl7fX0r02moJcznXkIkaVrrPm67otfV6J7uWUsnnbBxzNm2rTmpZ5/Nd22dbuxBJRotmnltuuUXlmXnmmWca5JqJArpOdF5mSp1JY++ueWrg//fn36gOFv87X5fvoBH7dAnEGS0rI12tUBIlZ+LjfF4SWyfFsCJpebNyVeporiFTUY26z5vO+MWYvt46ViCvaymVfM5GSrcnf37Ltu+k/t3aOznmtkjM3HXXXbR69Wrq1q0b9e3bl9q0aTgRfvzxxxRWdB72Nd9U0HmH96ENZdsb/NueBW3pB707KDOl7qTBj80bSzc02d88Zp8uvtotNdiVbq9RplZKUCuHj5dt50EslySxbVIMM9ImZptWpa7mGkpFVGNrnzfd8cvk9daxAulcS6nkc37Q3Ypr7ZZdblZG0vOcdsPVMbdFYmbUqFEUZbxu9O5YjNq2Sae/L9vQZMKfOKIf1cZiWpNG3YO3qvUrG6nBLi+7DY157MNma+W8NnE4pQKbJsUwY7OvS2tx1bFROqpR4nnTGb9MXm9dwad1LYWSz+miuxUnsWWXm5WZ1LLO5/2MuTb5n7VIzEybNk2+JY6SKDlVJocoN1Mtlrn1jAHUMdd70pBeSUrlfPhBnw4Ja+Uc5fhkB8K9reeqY2NLREGicck20St5vXXHSt1swjyWJfp70mOcrgiT2iItbNeGLj2uv/r/xgttPs7ndbHNH0rWWzMieN3E7Tt3J91z5fNa21XfVoqvbCQsHJd8b11q/DDwceA+LpqYw2x1Mp25V1L0mrreuoJP91peelw/OmVAd+qW37bOV3Fj2Xbq1zWPJNEVYZKO+X06tqPTDurZwLLOjr99O7bTfsZt9D9rkZjhopK///3v6YUXXqCSkhKqqWlYfn7Lli0UVnSceytrdidN+R/fc/WaNGxcSXJbJzy9KOE2Ex/nbSbXJz0dbDKvpoIwbuu5anUKInOvTv/2Gr9MXm/dsVLnWrJPI4/Rby5jX8X/W7Ad1a8z/fwof6HZUiJMcsuuR2EOnTqge4P7NqRPB1/fyUb/sxaJmZtuuokef/xxuvLKK+n666+n6667jr744guaPXu2inIKMzo5CDq0a0P3jhmc8Hf4eH1TXrJJw8aVJD9U/KAn2may2e9AEtvMqyDcVifTmXv99G8v0WvqeuuOlTrXkq0UT7y3poGQYeK+i1NPP8C4CLPNMb/cQv+zFomZ5557jh577DEaOXIk3XjjjTRmzBjae++96aCDDqL//Oc/NGnSJAorOjkIeCXT3O/wNvZd5xys9Vl+VjamLAU2WotMYqN5NQpI9m8XrU4sCu48exBtVZGQuyg/J5M6tMtS2yCSk0sq+reJ6+1nrNQJ4GgsZOoLGj5vWoTZtrDNt3AeaJGY2bhxIw0cOFD9f15eHpWVlan/P+200+iGG26gMKOTg6Bix65mf4cLJPL5bpoFx3VWNiYtBbY9VKax0bwadmAJM5ct3Ob+7SVo/ViBkgmsbTuSh2Z7nU+FCLNti7SzhfNAi8TMnnvuSRs2bKDevXsri8w///lPOuSQQ2jRokWUnZ1NYabSIwcBn+eCi5ImuGQPnmlLgW0PlWlsNK+GGVjC9K6B1ORia//WFbQSViCvXCxe5/2iK8Js2iItsHAeaJGYOfPMM1XF7MMPP5wuvfRSOv/88+mJJ55QzsBXXHEFhRmvdP18vk16unUhiSZN3mHGRvNqmLHZUmAK3WzhEpOL3/5tYnvbtKDN9ZGLRQpdEWbTFmlPi8QV06K7MnPmzLr/P/fcc5WFZsGCBdS/f386/fTTKcyw1SVZR89ISzNqggtiJRVls7+N5tUwY6ulwKSfmu41kMojpdu/N5Rub1BqZWvVTlq4dgsdu08XFTHjqqCVzMXiMmUa/dsmcSUiMY888kj1igKZ6WlJ0/lnpKdZGZIoRdTN/jaaV8OMrZYwk4LezzVo7eSi2795HFi3pYpeX7q+yTjISec4NYVk+HKyVBfSglYqF4vLrHdwwZoWi/l3zf7jH/+Y9PzPfvYzsoXy8nIqKChQTsr5+Zpet0ngh/iqv35C+/bIr3uw4nlWVmwoV3lm6j/wqTbB8WdcOqu42ZVUY3HR2tUkh4Aef/e8Zs/PmXyMMnmHHRP3Fvjv36baNHFWcUJrQSraFMQ18Orf676tpN/OXtashfq2UQOpT2eZGm1c644TiDaOEI0vIPfqnEt7dZEfc6L6jJcZ7t9S83eLLDOXXXZZg/c7d+6kqqoqysrKUlW0bRIz0vBNvOmMAWrlUj/XSqKVuW0hiRJq22azv0l0723Yk+u5aAlr7T0xve0RhDXQq39zoEOyqE6vQAk/sB+iRKoLv9i0hWKSbx31U2uRmNm6dWuTYytXrqSLLrqIrr76ago7tjk+6bRHanvIVrO/jbhoqg378+aqoNe9BqbEM2c5N1VZWjLVRRC4tqApd3TBKuaWzc6/7BjMkU3//e9/KezYptq92iOltuEAq4cf8ejaYOfq8xYWQd9cEUmT4rnQo3K0ZGVpVyfXVNwTE2NFvqMLVtEYs8zMTFq/fr3knwSWDQhwgNVDVzzCemMOlwW96icvLq1Lqd+4n+jUjJN8NjmCKVllaT4f9clVOljC1FjR2dEFa4vEzKuvvtrgPfsQcxK9+++/n4YNGybVNiCI5IBg2zabq+Ix6pFhpnFV0Kt+0kjIMPzZ3H/uHzNYq2actB/P7YaugauTq6TvicmxouD7e1s/7J6F8dflO2jEPl2sHZNaJGZGjRrV4H1aWhp16dKFjjvuOLrrrruk2gYESdWA0JzJO+roiEdXHe1cxVVBzyHBjYVMHO4/fJ6fQ6+acdKYugauWoMlt8dMjxUxInpjKVcNb3i9j9mnC9lKi8RMbW2t+vnNN9+oCCYOnYoarvk5SA4I2BqREY8cbmoyf0bUkRb0pvzmSrcn7wdl23dSXnamZ824VGDqGrhoDZYUzyb9hsriVqBVblmMfYuZ0tJSuu666+gvf/lLXVQTW2XGjx+vikxyaHbY0Z3MbRM8EgMCtkbkxGNBTg3dO2Zwwq0BPs59Bsjh6grfqxYQC+Iqj1Boyeii+pgc42wLujApnk36DX3rqMXYl5jZsmWLyvT71Vdf0XnnnUf777+/Ov7pp5/SfffdR2+//TbNnz+fli5dSv/5z39o0qRJFDZ0J3NbrRetHRBc7eg2iseg8mdEGRdX+LkatYKyMzOMRRfFsXWMC6N4DnuJHONi5uabb1bbSqtXr6Zu3bo1OXfSSSfRBRdcoKpo33vvvRRGeBD8aN1Wmnhcv4RbA3yeCav1wtWObqN4dD1/hqu4tsLXrRVk0kkWFlqz4lnaqliWxKLmavSYLzEze/ZseuSRR5oIGaZ79+50xx130KmnnkrTpk2jsWPHUhipqN6ZdGugsvq7yTys1gtXO3pQJBs0IAyBZK0gk1tosNCaF89Swmi9R5i/q9FjvsQMh18feGDzXvEDBgyg9PR0JWbCSmFOFt3xjxXNRg1wTZItVd9ZZ8I4Sbna0YPAywwPYSiPbX5qUnAV6lMHdG8wkQ3p06HBdzO5hWarEA/r/ZcSRmUaYf6u+pb5EjOdO3emL774gvbcc8+E59euXUtdu3alMFOzuzZp1ACfD/Mk5WpHN42OGR7CUJaw+3DoTGSmttCkxzgJERL2+28qzL+gXZaTvmW+xMzJJ5+sIpnY0Zd9Z+pTXV2topl++MMfUpipqE4eNVBZvYuKOueGepJysaObRscMz9XFIQxlgA+HWSSFuIQIwf2XC/N31bfMtwPwkCFDVB2mSy65hPbbbz+V/fezzz6jBx98UAmaP/7xjxRmdFYkUbBeuNbRTaNrhocwlAE+HGaRGuOkRIhOYAbuP2mF+buKLzHD20sLFiygiy++mKZMmaKETDwD8IknnqjKGfTu3ZvCjO6KBJNUtPFjhocwDK8PR5iRqOQtJUJ1AzOiTq5GmL+r+G55UVERvfnmmyph3sqVK9Wxfv36UceOHSkK+FmRYJKKLvCHMUuY/dRsxmuM89pCkhKhOoEZUaEsiXjUDfN3kRbLsA4dOtBhhx1GUQRWF+BFFLYabQLi0T50tpCkRKhOYEYUWO8hHnXD/F3EXZuSJaDQImgOiF5zQDzah84WkpQI1QnMiIJ4nPrKchrUq5DGDe3bwG9o2ivL6XdnD1LPgU6Yv4tAzLQAhAACXbDVGG3xGPa8J8nQ2ULyE9EXxqy1kmyurKHRh/VO6Dc0fliROh+/XmEclyBmfIIQQADsxaZBOuqLHl2BoSNCva6l69uMEqJ3V22s2VpvzI2nH2i8TSZJD7oBYTSdAgCijdeih8+HnbjASERjgcGTJFtpDu7dQf1sbJHxupbxbcbGn+fCNiMLtYmziun4u+fRmQ9+QMffNY8unVWsjvuhtjaW1G9od+130cc6bCjdTm8s30hfbK6kDWU7aN3mKvWej9sKLDM+QQgoAMAL5L2R82PSvZbS24wmLBOSlv6qmuR+QVU1u7XbtG5LFb2+dH2TiCdOCMu5aGzsuxAzPsHeLADACyx6vkNCYPi5lrrbjF5ChS0Q//78G+raPls50m6t2kkL126hY/fpohxobRS9BTkepS5y9Oam0qqddN/clUnD3CFmQoDre7MAgNTj+qJH0irRWj8m6Wvp5X9j0jIhKXo7C81NlTW7km5X8Xkbgc+MT1zemwXfDdKrN1VQcclWWv1NRSR8F4Dd/iK29W/b/CXy2mbS8H6dEp7j43xeFx3/m2SWCT7O56WQFGoFQnNTpcd2lO52lWlgmQkojTcwT9SjS0C4895IFWy0zV+Cx9hxw4pUTq/GbeLjfL5bfluxbZ3qXbuNWSakLf09Bbb1Cj22o3S3q0wDMRNQGm9gFoTUgzDnvZHq3zb6S7C/yqRZxTRheFGDrLXFX5aq43+ccJjots5Oj6gfSctEKkRvQSu39dhP6Kj+nROKPj7O520EYiYFYOK0D0SXgDDnvZHq3zb6S3ClZxYQ9RPBtbTSs862Tu33BZRNWSZsTPY4cUQ/oliM3qvXF47q1+m745YCMZMCMHHaB6JLQJiR6t82+kvkClZ61t3W0bVMSLkS2JTs8duKGhr/9CJlCRvXyBLGx1+bONyattYHYiYFYOK0D9ejSwAw0b/ZX4ItHTyRDe5V2KC+z5Pz1wbiLyFZ6Vl3W+d2jd8JqytB+Y6dSS1hts5fEDMpABOnfSCk3m3gTK8X8TM/gfXCT8QPWx2eHHeo8ptpXN+Hj6fKXyLZ/ZWu9KyzreP1O7pFHV2dv9olEbT15y+bnkuImRSAidM+UFXZXcK6ApaEq0Ini/jxUzX6gbmrEjoAp6el0f1jBjc4LjGZ6dxf6UrPfrZ1lAdNWsuLOrpG57yspII2Pn/Z9lymxWIe3k6OU15eTgUFBVRWVkb5+fnGPpdvdHMTp2QGSeCP+OBri6Md8L5fXLcmkf8CP09wpv8Ozitz3uMfNlhNx/0ceDX9/IWHq7pHXnCOGq4R1BxzJh+jaidJhoLbeH+9vtvnX2+jm177f8368XBRx/7d2pOLlPE9eb6Y3luV2GcoLmhN3Dc/8zcsMynCRg91YJejHfAGzvT6WwPJ/Bx0t7Z1/f2kIjaDur/JLEo6W0iSRR2l2i2FuicJhAzzXr1iyrY9l9aLmb59+9K6deuaHL/44ovpgQceIJvBxAlA64AzvdmtbV1/PykREsT99bK66GwhSRV1lGy3FDr3xEuqBfFcWl/OYNGiRbRhw4a619tvv62On3322UE3DQCQYuBMbzaVvW4ZBikRYvr+6pQz2FUbU0Imkd8QH2eri1RRR8l2++Hr8h303w3lqnjmfzeWq/d+7omNz6X1lpkuXbo0eD9z5kzae++96ZhjjgmsTQDoYpO3v4vAmV6/L0lsbes6yktNZqbvr45FiZPmJd1CisVUVJdt7S7QvM8lmytpysvLGnxHjni77cyB1LtTrvY9se25tF7M1KempoaeffZZmjx5MqWlNXIv/57q6mr1qu9ABEAQ2Obt7yKIQvPXlyS2tnVEkZQIMX1/dSxKLFaSwZFhftotsaCRsoR9Xb6jiZBhOKT/ty8vo7vOOVjVudL5brY9l06JmdmzZ1NpaSmNGzeu2d+ZMWMG3XTTTUbbBUBjUNJCjqg70wfRl7xEkaQIMXl/dSxKO3fXJv2d3O8zDuu0W2pBI2UJ21pZ06zViQUNn2cxI5GLxzROiZknnniCTjnlFOrZs2ezvzNlyhRlualvmenVq5ehFgLwHYjCkSXKzvS29iXJyczU/dWxKH29rTpp+YSM9DStdkuKUClLWPmOXb7PJ8qzY+Nz6YyY4Yimf/3rX/TSSy8l/b3s7Gz1AiBIEIUDotCXdCYzk35jXp+lY1HiaCWOWqIECQj5eH0xIyVCJdqtQ75HJuj4eRe3yJ0RM0899RR17dqVRo4cGXRTABxbPbHR2x+4ict9yeSkqPtZXhalTrlZNOONz2hw7w4NyidwAsK/LCxReWYkRahUu3XokJuVtOwFn3d1i9wJMVNbW6vEzNixYykz04kmhxoXVbtpEIUDguhLNi0yTE6Kfj8rmUWJj990xgD17+rnmfFvBfEWoZLt1oH9YaafOZCue3lZA0HDQoaP83nOAm3jtqYXTigD3l4qKSmhCRMmBN2UyOOqajcNonCA6b5k2yLDpK+P9GdJWEF0RKhpf6iyqhq6463/qu2y35yyH1Xs2E15bTNoU3k13fnWf5WgsXlb03kxc9JJJ1HIS0g5g63OiDZim7c/cBedKs62LTKkJ8VkVqdUTMCttYLoiNA131YaFQ7fVtTQ35dtVK9EXHHivs5uazohZoA9uKrag8Imb38Q3r5k4yJDclL0sjrZOgF7iVDT7S7XGL+LOuc6uUVufTkDYBe2DhoARBkbFxm6pREkUvlLfVYqYOHClca5ajn/TJR80FS78zXGb6nSGKaBmAG+sHnQACCq2LjIkJoUda1OLk7AptvdWXP85uDzUwb2oCfGDqEHzztE/eT3NoNtJuALOLYCYB+2Rs9J+I3pWp1c9VEz2e4CjfGbLV3XJLCExX/P1iAPiBngG1cHDQDCis2LjNb6jbXE6pQsa61pdMLlTfrW9fQYv230v9IBYga0CDi2AmAXYV1k6FqdbAtNt7VNXuO3jf5XOsBnBgAAQkIyZ1NX0fEr0XESNo2fNvH/c7K64pKttPqbimbbq/t7YfO/0gGWGQAAAFbj4taIbpt0rTemrDyd87LoqP6dE7b9KIuDPGCZAQAA4LTVycatEZ026VpvTFueLhnRTxXWrA+/5+O2AssMAAAAp7Fxa0SnTbrWG9OlISY8vYgmDC9qUmiTj782cbiV25cQMwAAAKwnWVSQjaHpOm3SLWdg0vJUvmMnVdXsblBkM1WfJQnETAuxqTotAACEGS9/ERtD03XalN+2RsuiZNLylO/js2yaByFmQhRuBwAAYUO3iKaNoelebdK1KJm0PHV2NBQeDsA+sTEEEAAAwoqOv4jNoenJ2qRbzsBk2YMCR0PhYZnxiY0hgAAAEFZsjFTyg9dWjK5FiX/vzrMH0dZK/lu7KD8nkzq0y6Ju+W3F2+xiKDzETMQeLAAAcAkbI5V00d2K0cmoHtS2TixBaQgb50FsM0XowQIAANfQrfRsG5JbMaa3ddaXbqeJs4rp+Lvn0ZkPfkDH3zWPLp1VrI7bOg9CzETkwQIAABcx6S8SlK+Pyb8lIZziWYITEVSWYGwz+UQ6BNCm0DYAALARGyOVvJDcijG5rfOthnDia8/ZgGtjMXp/1WYrsgRDzAT4YNkW2gYAALai41diE3nZyafXXI/z9TG5rVOuKZxsyxIMMRPQg6WbOwEAAIB7ZGWkK0tFfctFHD7O53UxmWcmX0M42ZglGD4zAWFyDxQAAIBZSrfX0PhhRQkLNvLxsu01VvoNddbwC7XRARiWmYCwMbQNAABcxiYfxLzsNjTmsQ8TbsVMmlWstmJs9Bsq0PQLta0WFsRMQNiobAEAwFWBYZsPIk/oQ/p0SLgV09IJ35TfUE8P4WRjLay0WCymcuKElfLyciooKKCysjLKz88nmx5wjttvTtnCZwYA4DqmBAaPp5wX5T3D46mXUOPv39yE3yMEQR5l33//VFmK/MzfEDMBEvaODgCILtICI5lwWL2pQiV4a445k49RdZGCEGpfl+8wUoIg6vM3tpkCxMXcCQAAoINk/R4v4WDaB1E3GtW2ra8wg2imgLGxyisAALQWKYGhk5HWtA+ijlCzsbJ0mIGYAQAAII6UwNDNSGuyzIxXWHXZ9p1Iv2EYiBkAAADiSAkMHQuP3zwsbBVhP5vikq20+psK31aSdlnJPTTaZWUg/YZh4DMDAABAHKnwXV0Lj64PooQfS3p6WtLsvhnpaaLlDIA3uJoAAACsDXLwk8rfKw+LVBmZzPQ0lcWXaVxokY+zmMlISxMrZwC8gZgBAACQMlqb6E0yQZtUhFWn3Cya8cZnNLh3hybZff+ysIR+d/Yg+mJzZVLB853fTS5FPVOyFBAzAAAAIpHGQsqPhT/3pjMGKIFVP8NvfYHVbls1TZrVfDmDVy4ZRkGwPqTh4hAzAAAArEcilb9kCLeXwOJtpMG9CxOWM2i8zWTKUlImtM1mIxAzAAAAIoEf/5vWCqx41WyvbSaTlpJvBRMZ2gY8kAAAAEQCvyHcra2azdtJ7FfzxNgh9OB5h6if/J6P52a3MZ5YrzzE4eKwzAAAAIgMpsrI6FTNNm0pyTecKdkksMwAAACIFCbKyOhYgUxbSjobzpRsElhmAAAAgACsQKYtJQWCYe62ATEDAAAApIhkTsLSDsk2bbOZBttMAAAAQMgdkk1vs5kGlhkAAAAgIMJqKTENxAwAAADgeELAqAMxAwAAADhAGGsqSQExAwAAAFhOWGsqSQEHYAAAAMBiTGcKdhGIGQAAAMBidDIFRx2IGQAAAMBiwlxTSQqIGQAAAMBiwlxTSQqIGQAAAMBi/NRUKquqodWbKqi4ZCut/qYiMv40iGYCAAAALEa3ptL6CEc8pcVisRiFmPLyciooKKCysjLKz88PujkAAABAq/LMJMoUXFZVQxNnFSd0FGZBw1mGXctJ42f+hmUGAAAAcDxT8LcaEU+uiRk/wGcGAAAAcJzyiEc8QcwAAAAAjpMf8YgniBkAAAAgQhFPYQRiBgAAAAhJxNPRjQRN44insAIHYAAAACAE9CzMUVFLzUU8hRmIGQAAACACEU9hBttMAAAAAHAaiBkAAAAAOI31Yuarr76i888/nzp16kQ5OTk0cOBAWrx4cdDNAgAAAIAlWO0zs3XrVho2bBiNGDGC3nzzTerSpQutXLmSOnToEHTTAAAAAGAJVouZ22+/nXr16kVPPfVU3bGioqJA2wQAAAAAu7B6m+nVV1+lIUOG0Nlnn01du3alwYMH02OPPZb031RXV6viVPVfAAAAAAgvVouZNWvW0EMPPUT9+/enf/zjH3TRRRfRpEmT6Jlnnmn238yYMUNV2Yy/2LIDAAAAgPCSFovFYmQpWVlZyjLzwQcf1B1jMbNo0SJasGBBs5YZfsVhywwLGp0S4gAAAACwA56/2SihM39bbZnp0aMHHXDAAQ2O7b///lRSUtLsv8nOzlZfuv4LAAAAAOHFajHDkUwrVqxocOzzzz+nPn36BNYmAAAAANiF1dFMV1xxBQ0dOpRuu+02Ouecc2jhwoX06KOPqpcu8V00OAIDAAAA7hCft7W8YWKW89prr8UGDBgQy87Oju23336xRx991Ne///LLL/kq4IUXXnjhhRde5N6L53EvrHYAlqC2tpbWr19P7du3p7S0NNG/HXcu/vLLL+GbYwBcb7PgepsF19ssuN72X2+WJ9u2baOePXtSenq6u9tMEvAF2HPPPVP6GXA0Nguut1lwvc2C620WXG+7rzdHMznvAAwAAAAA4AXEDAAAAACcBmKmFXBOm2nTpqmfIPXgepsF19ssuN5mwfUO1/UOvQMwAAAAAMINLDMAAAAAcBqIGQAAAAA4DcQMAAAAAJwGYgYAAAAATgMx48FDDz1EBx10UF2inyOPPJLefPPNuvM7duygSy65hDp16kR5eXl01lln0ddffx1om8PEzJkzVebmyy+/vO4YrrkcN954o7q+9V/77bdf3Xlca3m++uorOv/889U1zcnJoYEDB9LixYvrznNMxtSpU6lHjx7q/AknnEArV64MtM2u0rdv3yb9m1/cpxn0b1l2795NN9xwAxUVFam+u/fee9Mtt9zSoLZSyvp3i4smRYRXX3019ve//z32+eefx1asWBH77W9/G2vTpk1s+fLl6vyvf/3rWK9evWJz5syJLV68OHbEEUfEhg4dGnSzQ8HChQtjffv2jR100EGxyy67rO44rrkc06ZNix144IGxDRs21L2++eabuvO41rJs2bIl1qdPn9i4ceNiH374YWzNmjWxf/zjH7FVq1bV/c7MmTNjBQUFsdmzZ8c++eST2I9+9KNYUVFRbPv27YG23UU2bdrUoG+//fbbqtbPO++8o86jf8syffr0WKdOnWKvv/56bO3atbG//vWvsby8vNg999yT8v4NMdMCOnToEHv88cdjpaWlStjwDYvz2WefqYdlwYIFgbbRdbZt2xbr37+/GnyOOeaYOjGDay4vZgYNGpTwHK61PL/5zW9iw4cPb/Z8bW1trHv37rE777yzwX3gQruzZs0y1MrwwuPI3nvvra4z+rc8I0eOjE2YMKHBsR//+Mex8847L+X9G9tMPk1of/7zn6myslJtN3300Ue0c+dOZSaLwyb63r1704IFCwJtq+uw6XfkyJENri2Day4Pm3i5kNtee+1F5513HpWUlKjjuNbyvPrqqzRkyBA6++yzqWvXrjR48GB67LHH6s6vXbuWNm7c2OCac22aww8/HNe8ldTU1NCzzz5LEyZMUFtN6N/yDB06lObMmUOff/65ev/JJ5/Q/Pnz6ZRTTkl5/w59oUkJli1bpsQL76/yvurLL79MBxxwAC1ZsoSysrKosLCwwe9369ZN3TDQMlgwfvzxx7Ro0aIm5/i64prLwYPI008/Tfvuuy9t2LCBbrrpJjrqqKNo+fLluNYpYM2aNcoPb/LkyfTb3/5W9fFJkyap6zx27Ni668rXuD645q1n9uzZVFpaSuPGjVPv0b/lufbaa1V1bBaFGRkZygAwffp0tUhiUtm/IWY04IGehUtZWRm9+OKLatCZN29e0M0KJVwe/rLLLqO3336b2rZtG3RzQk98xcSwozuLmz59+tALL7ygnPOALLW1tcoyc9ttt6n3bJlh4fjwww+rcQWkjieeeEL1d7ZCgtTA48Zzzz1Hzz//PB144IFq3uTgDb7mqe7f2GbSgNV7v3796Ac/+AHNmDGDBg0aRPfccw91795dmS5Z7deHveH5HPAPm343bdpEhxxyCGVmZqoXC8d7771X/T8reFzz1MGr1H322YdWrVqF/p0COIKDrbr12X///eu29uLXtXFEDa5561i3bh3961//ogsvvLDuGPq3PFdffbWyzowePVpF6V1wwQV0xRVXqHkz1f0bYqaFq6vq6molbtq0aaP2COOsWLFCDUy8LQX8c/zxx6ttPVb08RevZNlMGf9/XPPUUVFRQatXr1aTLvq3PMOGDVPXsD7sX8DWMIZDWnlQr3/N2Wz/4Ycf4pq3gqeeekr5KLEfXhz0b3mqqqooPb2hrODtJp4zU96/W+U+HAGuvfba2Lx581SY2dKlS9X7tLS02D//+c+60L7evXvH5s6dq0L7jjzySPUCctSPZmJwzeW48sorY//+979V/37//fdjJ5xwQqxz584qpJXBtZZPN5CZmalCWFeuXBl77rnnYu3atYs9++yzDUJXCwsLY6+88ooac8444wyEZreC3bt3qz7MkWSNQf+WZezYsbE99tijLjT7pZdeUuPJNddck/L+DTHjAYeZcV6IrKysWJcuXWLHH398nZBh+AZcfPHFKlybB6UzzzxT5TMAqRMzuOZynHvuubEePXqo/s2DEL+vn/ME11qe1157LTZgwAAVjrrffvvFHn300QbnOXz1hhtuiHXr1k39Do85nOMKtAzO48Pr9kTXEP1blvLycjVWs0Bs27ZtbK+99opdd911serq6pT37zT+T+tsOwAAAAAAwQGfGQAAAAA4DcQMAAAAAJwGYgYAAAAATgMxAwAAAACngZgBAAAAgNNAzAAAAADAaSBmAAAAAOA0EDMAAAAAcBqIGQCAlSxYsEDVdalfTwcAABKBDMAAACvhCsd5eXn0xBNPqAKAPXv2DLpJAABLgWUGAGBl9e6//OUvdNFFFynLzNNPP93g/Kuvvkr9+/entm3b0ogRI+iZZ56htLQ0Ki0trfud+fPn01FHHUU5OTnUq1cvmjRpElVWVgbwbQAAqQZiBgBgHS+88ALtt99+tO+++9L5559PTz75JBfFVefWrl1LP/nJT2jUqFH0ySef0K9+9Su67rrrGvz71atX0w9/+EM666yzaOnSpUoYsbiZOHFiQN8IAJBKsM0EALCOYcOG0TnnnEOXXXYZ7dq1i3r06EF//etf6dhjj6Vrr72W/v73v9OyZcvqfv/666+n6dOn09atW6mwsFBtUbG/zSOPPFL3OyxmjjnmGGWdYYsOACA8wDIDALAK9o9ZuHAhjRkzRr3PzMykc889V/nOxM8feuihDf7NYYcd1uA9W2x4a4p9buKvk08+mWpra5VlBwAQLjKDbgAAANSHRQtbY+o7/LIBOTs7m+6//35tnxvefmI/mcb07t1btL0AgOCBmAEAWAOLmD/+8Y9011130UknndTgHPvIzJo1S/nRvPHGGw3OLVq0qMH7Qw45hD799FPq16+fkXYDAIIFPjMAAGuYPXu22lLatGkTFRQUNDj3m9/8hubOnaucg1nQXHHFFfTzn/+clixZQldeeSX973//U9FM/O/Y6feII46gCRMmKP+Z3NxcJW7efvttbesOAMAd4DMDALBqi+mEE05oImQYjkxavHgxbdu2jV588UV66aWX6KCDDqKHHnqoLpqJt6IYPj5v3jz6/PPPVXj24MGDaerUqchVA0BIgWUGAOA8HMn08MMP05dffhl0UwAAAQCfGQCAczz44IMqoqlTp070/vvv05133okcMgBEGIgZAIBzrFy5km699VbasmWLik5in5kpU6YE3SwAQEBgmwkAAAAATgMHYAAAAAA4DcQMAAAAAJwGYgYAAAAATgMxAwAAAACngZgBAAAAgNNAzAAAAADAaSBmAAAAAOA0EDMAAAAAcBqIGQAAAACQy/x/7wj6HFElneYAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='Age', y='QuantumPatternFeature', data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f7b283af-23ee-481c-b867-f5669679b0fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='HeartDisease', ylabel='Age'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='HeartDisease', y='Age', data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c3269b7e-4502-40b1-9b87-c169378a623d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.13.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}