{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 210,
   "id": "7ce53ad1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.figure_factory as ff\n",
    "import seaborn as sns\n",
    "sns.set()\n",
    "import plotly.express as px\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3b9fd854",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install plotnine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "id": "6d369f6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotnine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "73edef6d",
   "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>Patient Id</th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Air Pollution</th>\n",
       "      <th>Alcohol use</th>\n",
       "      <th>Dust Allergy</th>\n",
       "      <th>OccuPational Hazards</th>\n",
       "      <th>Genetic Risk</th>\n",
       "      <th>chronic Lung Disease</th>\n",
       "      <th>Balanced Diet</th>\n",
       "      <th>...</th>\n",
       "      <th>Fatigue</th>\n",
       "      <th>Weight Loss</th>\n",
       "      <th>Shortness of Breath</th>\n",
       "      <th>Wheezing</th>\n",
       "      <th>Swallowing Difficulty</th>\n",
       "      <th>Clubbing of Finger Nails</th>\n",
       "      <th>Frequent Cold</th>\n",
       "      <th>Dry Cough</th>\n",
       "      <th>Snoring</th>\n",
       "      <th>Level</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>P1</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>Low</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>P10</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>Medium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>P100</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>P1000</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>P101</td>\n",
       "      <td>46</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Patient Id  Age  Gender  Air Pollution  Alcohol use  Dust Allergy  \\\n",
       "index                                                                     \n",
       "0             P1   33       1              2            4             5   \n",
       "1            P10   17       1              3            1             5   \n",
       "2           P100   35       1              4            5             6   \n",
       "3          P1000   37       1              7            7             7   \n",
       "4           P101   46       1              6            8             7   \n",
       "\n",
       "       OccuPational Hazards  Genetic Risk  chronic Lung Disease  \\\n",
       "index                                                             \n",
       "0                         4             3                     2   \n",
       "1                         3             4                     2   \n",
       "2                         5             5                     4   \n",
       "3                         7             6                     7   \n",
       "4                         7             7                     6   \n",
       "\n",
       "       Balanced Diet  ...  Fatigue  Weight Loss  Shortness of Breath  \\\n",
       "index                 ...                                              \n",
       "0                  2  ...        3            4                    2   \n",
       "1                  2  ...        1            3                    7   \n",
       "2                  6  ...        8            7                    9   \n",
       "3                  7  ...        4            2                    3   \n",
       "4                  7  ...        3            2                    4   \n",
       "\n",
       "       Wheezing  Swallowing Difficulty  Clubbing of Finger Nails  \\\n",
       "index                                                              \n",
       "0             2                      3                         1   \n",
       "1             8                      6                         2   \n",
       "2             2                      1                         4   \n",
       "3             1                      4                         5   \n",
       "4             1                      4                         2   \n",
       "\n",
       "       Frequent Cold  Dry Cough  Snoring   Level  \n",
       "index                                             \n",
       "0                  2          3        4     Low  \n",
       "1                  1          7        2  Medium  \n",
       "2                  6          7        2    High  \n",
       "3                  6          7        5    High  \n",
       "4                  4          2        3    High  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 213,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dane = pd.read_csv(r'C:\\Users\\HP\\Desktop\\podyplomówka\\cancer_patient_data_sets.csv', index_col = 0)\n",
    "dane.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "id": "1831fdd7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 1000 entries, 0 to 999\n",
      "Data columns (total 25 columns):\n",
      " #   Column                    Non-Null Count  Dtype \n",
      "---  ------                    --------------  ----- \n",
      " 0   Patient Id                1000 non-null   object\n",
      " 1   Age                       1000 non-null   int64 \n",
      " 2   Gender                    1000 non-null   int64 \n",
      " 3   Air Pollution             1000 non-null   int64 \n",
      " 4   Alcohol use               1000 non-null   int64 \n",
      " 5   Dust Allergy              1000 non-null   int64 \n",
      " 6   OccuPational Hazards      1000 non-null   int64 \n",
      " 7   Genetic Risk              1000 non-null   int64 \n",
      " 8   chronic Lung Disease      1000 non-null   int64 \n",
      " 9   Balanced Diet             1000 non-null   int64 \n",
      " 10  Obesity                   1000 non-null   int64 \n",
      " 11  Smoking                   1000 non-null   int64 \n",
      " 12  Passive Smoker            1000 non-null   int64 \n",
      " 13  Chest Pain                1000 non-null   int64 \n",
      " 14  Coughing of Blood         1000 non-null   int64 \n",
      " 15  Fatigue                   1000 non-null   int64 \n",
      " 16  Weight Loss               1000 non-null   int64 \n",
      " 17  Shortness of Breath       1000 non-null   int64 \n",
      " 18  Wheezing                  1000 non-null   int64 \n",
      " 19  Swallowing Difficulty     1000 non-null   int64 \n",
      " 20  Clubbing of Finger Nails  1000 non-null   int64 \n",
      " 21  Frequent Cold             1000 non-null   int64 \n",
      " 22  Dry Cough                 1000 non-null   int64 \n",
      " 23  Snoring                   1000 non-null   int64 \n",
      " 24  Level                     1000 non-null   object\n",
      "dtypes: int64(23), object(2)\n",
      "memory usage: 203.1+ KB\n"
     ]
    }
   ],
   "source": [
    "dane.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69f1b9c9",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "id": "af7da17c",
   "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>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Age</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>37.174</td>\n",
       "      <td>12.005493</td>\n",
       "      <td>14.0</td>\n",
       "      <td>27.75</td>\n",
       "      <td>36.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>73.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gender</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.402</td>\n",
       "      <td>0.490547</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Air Pollution</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>3.840</td>\n",
       "      <td>2.030400</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alcohol use</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>4.563</td>\n",
       "      <td>2.620477</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dust Allergy</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>5.165</td>\n",
       "      <td>1.980833</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Swallowing Difficulty</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>3.746</td>\n",
       "      <td>2.270383</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Clubbing of Finger Nails</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>3.923</td>\n",
       "      <td>2.388048</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Frequent Cold</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>3.536</td>\n",
       "      <td>1.832502</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dry Cough</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>3.853</td>\n",
       "      <td>2.039007</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snoring</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>2.926</td>\n",
       "      <td>1.474686</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           count    mean        std   min    25%   50%   75%  \\\n",
       "Age                       1000.0  37.174  12.005493  14.0  27.75  36.0  45.0   \n",
       "Gender                    1000.0   1.402   0.490547   1.0   1.00   1.0   2.0   \n",
       "Air Pollution             1000.0   3.840   2.030400   1.0   2.00   3.0   6.0   \n",
       "Alcohol use               1000.0   4.563   2.620477   1.0   2.00   5.0   7.0   \n",
       "Dust Allergy              1000.0   5.165   1.980833   1.0   4.00   6.0   7.0   \n",
       "...                          ...     ...        ...   ...    ...   ...   ...   \n",
       "Swallowing Difficulty     1000.0   3.746   2.270383   1.0   2.00   4.0   5.0   \n",
       "Clubbing of Finger Nails  1000.0   3.923   2.388048   1.0   2.00   4.0   5.0   \n",
       "Frequent Cold             1000.0   3.536   1.832502   1.0   2.00   3.0   5.0   \n",
       "Dry Cough                 1000.0   3.853   2.039007   1.0   2.00   4.0   6.0   \n",
       "Snoring                   1000.0   2.926   1.474686   1.0   2.00   3.0   4.0   \n",
       "\n",
       "                           max  \n",
       "Age                       73.0  \n",
       "Gender                     2.0  \n",
       "Air Pollution              8.0  \n",
       "Alcohol use                8.0  \n",
       "Dust Allergy               8.0  \n",
       "...                        ...  \n",
       "Swallowing Difficulty      8.0  \n",
       "Clubbing of Finger Nails   9.0  \n",
       "Frequent Cold              7.0  \n",
       "Dry Cough                  7.0  \n",
       "Snoring                    7.0  \n",
       "\n",
       "[23 rows x 8 columns]"
      ]
     },
     "execution_count": 215,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dane.describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "id": "a043ec73",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Patient Id', 'Age', 'Gender', 'Air Pollution', 'Alcohol use',\n",
       "       'Dust Allergy', 'OccuPational Hazards', 'Genetic Risk',\n",
       "       'chronic Lung Disease', 'Balanced Diet', 'Obesity', 'Smoking',\n",
       "       'Passive Smoker', 'Chest Pain', 'Coughing of Blood', 'Fatigue',\n",
       "       'Weight Loss', 'Shortness of Breath', 'Wheezing',\n",
       "       'Swallowing Difficulty', 'Clubbing of Finger Nails', 'Frequent Cold',\n",
       "       'Dry Cough', 'Snoring', 'Level'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 216,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dane.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "id": "9dac40a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "level_counts = dane['Level'].value_counts()\n",
    "ax = level_counts.plot(kind = 'pie',  autopct='%1.1f%%', startangle=90)\n",
    "ax = plt.title('Risk distribiution')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "id": "b45bd771",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1300x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "age_counts = dane['Age'].value_counts().sort_index(ascending=False)\n",
    "\n",
    "# histogram\n",
    "ax = age_counts.plot(kind='bar', figsize=(13, 5), width=1)\n",
    "ax.set_xlabel('Age')\n",
    "ax.set_ylabel('Count')\n",
    "ax.set_title (\"Distribution of patients' age\")\n",
    "for i, value in enumerate(age_counts):\n",
    "    ax.text(i, value + 0.1, str(value), ha='center', va='bottom')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "id": "966e57b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gender_counts = dane['Gender'].value_counts()\n",
    "ax = gender_counts.plot(kind='bar')\n",
    "\n",
    "# Dodawanie wartości do słupków\n",
    "for i, value in enumerate(gender_counts):\n",
    "    ax.text(i, value + 0.1, str(value), ha='center', va='bottom')\n",
    "\n",
    "# Zmiana etykiet osi x\n",
    "ax.set_xticks([0, 1])\n",
    "ax.set_xticklabels(['Man', 'Woman'])\n",
    "ax.set_title (\"Distribution of patients' gender\")\n",
    "\n",
    "# Dodanie legendy\n",
    "plt.legend()\n",
    "\n",
    "# Wyświetlenie wykresu\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "id": "98973a0f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Grupowanie danych\n",
    "grouped_data = dane.groupby(['Gender', 'Level']).size().unstack()\n",
    "\n",
    "# Ustawienia kategorii i szerokości słupków\n",
    "categories = grouped_data.columns\n",
    "bar_width = 0.35\n",
    "bar_positions_man = np.arange(len(categories))\n",
    "bar_positions_woman = [pos + bar_width for pos in bar_positions_man]\n",
    "\n",
    "# Wygenerowanie wykresu słupkowego\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "ax.bar(bar_positions_man, grouped_data.loc[1], width=bar_width, label='Man')\n",
    "ax.bar(bar_positions_woman, grouped_data.loc[2], width=bar_width, label='Woman')\n",
    "\n",
    "# Dodanie wartości procentowych do słupków\n",
    "for i, column in enumerate(categories):\n",
    "    for j, value in enumerate(grouped_data.index):\n",
    "        total = grouped_data[column].sum()\n",
    "        percent = grouped_data.loc[value, column] / total\n",
    "        height = grouped_data.loc[value, column]\n",
    "        ax.text(i + j * bar_width, height + 0.2, f'{percent:.0%}', ha='center', va='bottom')  \n",
    "\n",
    "# Ustawienia etykiet i tytułów\n",
    "plt.xlabel('Gender')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Distribution of level by gender')\n",
    "\n",
    "# Dodanie legendy\n",
    "plt.legend(title='Level')\n",
    "\n",
    "# Zmiana etykiet osi x\n",
    "ax.set_xticks([pos + bar_width / 2 for pos in bar_positions_man])\n",
    "ax.set_xticklabels(categories)\n",
    "\n",
    "# Wyświetlenie wykresu\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "id": "8d81604c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Smoking\n",
       " 1    181\n",
       " 2    222\n",
       " 3    172\n",
       " 4     59\n",
       " 5     10\n",
       " 6     60\n",
       " 7    207\n",
       " 8     89\n",
       " dtype: int64]"
      ]
     },
     "execution_count": 222,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dane3 = [dane.groupby('Smoking').size()]\n",
    "dane3 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "id": "d85261ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dane['Gender'] = dane['Gender'].replace({1: 'Man', 2: 'Woman'})\n",
    "smoking_counts = dane.groupby(['Smoking', 'Gender']).size()\n",
    "\n",
    "# Zamiana liczby na procent\n",
    "smoking_percentages = smoking_counts / smoking_counts.groupby('Gender').sum() * 100\n",
    "\n",
    "# Sortowanie danych według stopnia 'Smoking'\n",
    "smoking_percentages_sorted = smoking_percentages.sort_index(level='Smoking', sort_remaining=False)\n",
    "\n",
    "plt.figure(figsize=(14, 6))\n",
    "\n",
    "# Tworzenie wykresu słupkowego poziomego\n",
    "ax = smoking_percentages_sorted.plot(kind='barh')\n",
    "\n",
    "# Dodawanie wartości procentowych do słupków\n",
    "for i, value in enumerate(smoking_percentages_sorted):\n",
    "    ax.text(value + 0.1, i, f'{value:.2f}%', ha='left', va='center')\n",
    "\n",
    "# Dodanie legendy\n",
    "plt.legend()\n",
    "\n",
    "# Ustawienia etykiet i tytułów\n",
    "plt.xlabel('Percentage')\n",
    "plt.ylabel('Smoking, Gender')\n",
    "plt.title('Distribution of smoking by ender (%)')\n",
    "\n",
    "# Wyświetlenie wykresu\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "id": "f5daf17c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Passive Smoker\n",
       " 1     60\n",
       " 2    284\n",
       " 3    140\n",
       " 4    161\n",
       " 5     30\n",
       " 6     30\n",
       " 7    187\n",
       " 8    108\n",
       " dtype: int64]"
      ]
     },
     "execution_count": 224,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dane3 = [dane.groupby('Passive Smoker').size()]\n",
    "dane3 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "id": "86122d04",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "dane['Gender'] = dane['Gender'].replace({1: 'Man', 2: 'Woman'})\n",
    "smoking_counts = dane.groupby(['Passive Smoker', 'Gender']).size()\n",
    "\n",
    "# Zamiana liczby na procent\n",
    "smoking_percentages = smoking_counts / smoking_counts.groupby('Gender').sum() * 100\n",
    "\n",
    "# Sortowanie danych według stopnia 'Passive smoker'\n",
    "smoking_percentages_sorted = smoking_percentages.sort_index(level='Passive Smoker', sort_remaining=False)\n",
    "\n",
    "plt.figure(figsize=(15, 6))\n",
    "\n",
    "# Tworzenie wykresu słupkowego poziomego\n",
    "ax = smoking_percentages_sorted.plot(kind='barh')\n",
    "\n",
    "# Dodawanie wartości procentowych do słupków\n",
    "for i, value in enumerate(smoking_percentages_sorted):\n",
    "    ax.text(value + 0.1, i, f'{value:.2f}%', ha='left', va='center')\n",
    "\n",
    "# Dodanie legendy\n",
    "plt.legend()\n",
    "\n",
    "# Ustawienia etykiet i tytułów\n",
    "plt.xlabel('Percentage')\n",
    "plt.ylabel('Passive Smoker, Gender')\n",
    "plt.title('Distribution of passive smokers by gender (%)')\n",
    "\n",
    "# Wyświetlenie wykresu\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "id": "28c8acde",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABRMAAAImCAYAAADALx25AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd3zO1///8UcmEZlK7F0JTWJGxChCraK+VsX8WLVVVe1Rbc0SFBE7qKJUVc0WnxZt1R6hRmOrLRGJkeS6rt8f+eX69GqCLKI877dbbpVzzvu8z/udl6ReOcPKZDKZEBEREREREREREXkK66wegIiIiIiIiIiIiPw7KJkoIiIiIiIiIiIiqaJkooiIiIiIiIiIiKSKkokiIiIiIiIiIiKSKkomioiIiIiIiIiISKoomSgiIiIiIiIiIiKpomSiiIiIiIiIiIiIpIqSiSIiIiIiIiIiIpIqSiaKiIjIK89kMmX1EF6IMbys9G5FREREMo+SiSIiIvJC69ChA56enuYPLy8vypcvT/PmzVm2bBkGg8GifWBgIEOHDk11/9u3b2fIkCFPbTd06FACAwPTfZ/HiYuLY8KECXz//fePvdeLYMqUKfj7+1OuXDnWrVuX1cNJlef5bteuXYunpyeXL19+Ju3Te82/SWb9nXqSy5cvU6tWLe7cuQNAREQErVq1okKFCvTs2ZNbt25ZtN++fTsNGzZM9n3mzp071KxZk0uXLj3T8YqIiLyIlEwUERGRF16ZMmVYtWoVq1atYvny5UydOhUfHx/Gjx/Phx9+aDHzbNasWfTu3TvVfYeFhXH16tWntuvduzezZs1K1/if5MaNG4SFhZGQkPDM75Vep0+fZv78+dSrV48FCxbw5ptvZvWQUuV5vttatWqxatUq8uTJk+l9S+YwmUwMHz6cTp064e7uDsDgwYPJlSsXM2fOJDIykvHjx5vbGwwGgoODGThwIDY2NhZ9ubu785///Ifhw4dr5quIiLxybLN6ACIiIiJPkzNnTsqVK2dRFhgYSLFixZgwYQKBgYE0bdoUSEw8PguFCxd+Jv1m9b1SIyoqCoC3336bSpUqZe1gMuhZvVt3d3dzgkpeTD/++CMnT55k/vz5ANy7d4/w8HC++eYbvL29uX//PqNGjTK3/+abb8iZMydvvfVWiv21bduW0NBQtm3b9tg2IiIiLyPNTBQREZF/rQ4dOpAnTx5WrlxpLvvnUslNmzbRtGlTfH19qVKlCoMGDeLGjRvm6/fu3cvevXvx9PTk999/5/fff8fT05OVK1dSu3Ztqlatyu7du1NcHhsfH89nn32Gn58ffn5+DBkyxLx8ElJeUnv58mU8PT1Zu3Ytly9fpk6dOgAMGzbM3Paf1xkMBpYvX06TJk3w9fWlVq1aTJkyhUePHlnc6z//+Q/ffPMN9evXx9vbm6ZNm/Lzzz8/9T1u2rSJ5s2bU758eapVq8bo0aO5e/cuADNnzqRDhw4AdOrU6YlLhCMiIujevTsVKlSgatWqTJs2jWHDhpmvBzAajcybN4+33noLb29v6tevz7Jlyyz66dChAyNGjGDevHnUqlULHx8f2rRpw5EjRyzanT59mh49elChQgUqVKhAnz59zMtOU/tuTSYTy5cv5+2338bX15e33nqL+fPnP3G2maenJ7NmzaJFixZUrFiRkJCQZEuQ79y5w6BBg6hWrRo+Pj688847T1weHh0dzTvvvENgYOBTlzEfPHiQZs2a4ePjQ5MmTdi0aZO5rkWLFrRp0ybZNV27drX4OvzTjRs3+OCDD6hcuTJ+fn6MHj2aadOmJft6r169mrfffhtvb29q1arFzJkzLWZ+pjYOT548SefOnSlfvjy1a9dm/fr1ycaU2lgZNGgQ/fv3p0KFCrz33nuPfca5c+dSr149smXLBoCVlRUA2bNnB8DOzg6j0QjAgwcPmDlzJh9++OFj+8uWLRv16tVj7ty5j20jIiLyMlIyUURERP61bGxsCAgI4OjRoxYJjSQHDhxg0KBB1KtXj/nz5zNs2DD27NljThCMGTOGMmXKmJdRv/HGG+Zrp02bxpAhQxgyZEiyWZFJNm/eTHh4OBMnTmTw4MH89NNPaVpinSdPHvOS2169ej12+e3o0aMZP348gYGBzJkzh3bt2vHll1/Su3dvi6RXeHg4CxcupH///syePRtbW1v69+9vTgymJCQkhA8++ICyZcvyxRdf0KdPH7Zu3UqHDh14+PAhrVq1YvTo0eZxPG6Md+7coX379ly9epUJEyYwcuRItmzZwoYNGyzaffzxx3zxxRc0bdqU0NBQGjRowPjx45k9e7ZFu61bt7J9+3ZGjhxJcHAwt27don///ua9686dO0ebNm24ffs2EydOZNy4cVy6dImgoCBu376d6ncbHBzMuHHjqFmzJnPmzKFVq1ZMmzaNkJCQx74zgDlz5lC/fn2Cg4PNScu/++ijj/jzzz8ZO3Ys8+bNo0yZMgwZMoTff/89WdvY2Fi6d+9OdHQ0S5YsoWDBgk+896hRo2jQoAGzZ8+mZMmSfPDBB+zevRuAli1bcujQIS5cuGBuf/36dX777TdatGiRYn9xcXF06tSJgwcPMnz4cCZMmMDJkydZtGiRRbu5c+cyatQoAgICCA0NpV27dsyfP98cH0meFofXr1+nffv23L17l88//5z333+fKVOmcP36dYt+Uhsrmzdvxs7OjtmzZ9OxY8cUn/Hs2bOEh4fToEEDc1nOnDkpWbIka9euJTo6mvXr11OhQgUgcfuD0qVLU7ly5cd+HQAaNmzIsWPHOHfu3BPbiYiIvEy0zFlERET+1V577TXi4+OJioritddes6g7cOAA2bJlo3v37ubZSK6urhw7dgyTyUTJkiXJmTMnQLKEYZs2bSwSDylxdnZmwYIF5j7c3Nzo06cPu3fvpnr16k8du729PaVLlwYSl9+mtET7zz//ZM2aNQwYMIBevXoBUK1aNfLkycPgwYPZuXMnNWvWBBKXba5du9a8lDdHjhy0b9+ePXv2UL9+/WR9371715xAGzNmjLm8VKlStGvXjrVr19K2bVtKliwJQMmSJR+7jHzZsmXExsaybt06PDw8AChbtqzFfc+dO8fXX3/NwIEDzTPIqlevjpWVFXPnzqVt27a4ubkBkJCQwMKFC83vNjY2liFDhvDHH3/g7e3NrFmzyJ49O2FhYeY2AQEB1K1blwULFjBkyJCnvtvo6GgWL15Mhw4dGDx4sPnd3rlzhwMHDqT4nEl8fX0tZsEdP37con7v3r307t2bunXrAuDv74+rq2uyvfcePXpEr169uHbtGl9++SWFChV64n0B+vTpY773m2++yfnz55k1axbVq1encePGTJw4ke+++47+/fsDsH79erJnz069evVS7G/9+vWcPXvWvNwXoEqVKuaxQ2JszZkzh3fffZeRI0cCiV87V1dXRo4cSefOnXn99dfNbZ8Uh0n7WM6fP59cuXIBUKxYMVq3bm2+X1pixdramk8//ZQcOXI89p3t2bMHSPy6/d2ECRMYMGAACxcuxNvbmxkzZnDnzh0WLVrEsmXLOHr0KOPHj+fhw4d06dLFvJ1CEh8fHwB+++03ihUr9tj7i4iIvEw0M1FEREReCklLFv/Oz8+Phw8f0qRJE6ZNm8aBAweoXr06ffv2TbH933l6ej71njVr1jQnsiBxibWdnR2//vpr2h/gMfbu3QtAkyZNLMrffvttbGxsLGa6ubu7W+wJmDdvXiBxyWZKDh8+TFxcXLK+K1WqRIECBVKcRfc4e/bsoXz58uZEIkCBAgUoX768RRuTyURgYCAJCQnmj8DAQB49emSRwPt7ohcw95v0LHv27MHf35/s2bOb+8mZMyeVKlVK9fs/fPgw8fHxyfa7Gzp0aLJZef9UqlSpJ9b7+/szc+ZM3n//fdauXcudO3cYMmRIsj0nBw8ezO+//06/fv1SlUiExNlwf1e3bl0OHz5MbGwsTk5O1KtXz2LZ8Lp162jQoMFjk2179uyhUKFC5kQiJM7aq127tvnzQ4cO8eDBgxS/dgC//PKLue3T4vDAgQOUK1fOnEiExMRz/vz5LcaU2lgpWLDgExOJAJcuXcLZ2RlnZ2eLcl9fX3bs2MGhQ4f45ptvKFiwICEhIdSuXZvixYvTu3dv3n77bYYPH87o0aM5ffq0xfVOTk44Ozu/tCdsi4iIpEQzE0VERORf7fr162TPnh1XV9dkdeXLl2fevHmEhYWxcOFCQkNDyZ07N927d6dTp05P7PfviY7H+edMSGtra1xdXYmOjk7TMzxJ0tLQ3LlzW5Tb2tri5ubGvXv3zGUODg4WbZISpkn7wD2u738+R1LZ3/t+mjt37lgsE0+SO3dubt68CVge5JKSvy9z/eezWFsn/g486VmioqLYtGmTxX6BSVJ7EErSeNJzcEpK7+zvpk2bRmhoKJs3b2bLli1YW1tTtWpVPv74Y4uk4fXr1/H29mb27Nk0bNgQR0fHp977n7GQK1cuTCYTMTExODo60rJlS9avX8/+/fuxt7c3L7d+nMjIyBTj/e/PmPSuHrcnYdI+pPD0OLx7926KS7n//lxpiZWnfS0AYmJiko3r75KSkZcuXeKbb77h+++/58CBA8TGxtKuXTusra3x8/Pjhx9+SJZIdnBwICYm5qljEBEReVkomSgiIiL/WgaDgb1791KhQoVky0eT1KhRgxo1avDgwQP27NnD0qVLGT9+POXKlaNs2bIZuv8/k4YGg8EiMWNlZWXe4y/J/fv303QPFxcXAG7evGmRgImPjycyMtK81DM9kvq+desWJUqUsKi7efNmqmfKQeLss9u3bycr/3tZ0qywJUuWpJg0+/vMtKdxcnKiatWqdO7cOVmdrW3q/hc3aTx37tyhePHi5vKrV69y4cIFKlasiJ2dXarH9M/xffTRR3z00UecPXuW7du3ExISwtixY1mwYIG53axZs8iZMyfNmjVj2rRp5iXET3L37l3zoSGQ+PWzsbExfz0rV65M4cKF2bJlC3Z2dhQpUuSJp3B7eHhY7LGYJKWv3ZQpUyhatGiytqlJ6CVxc3Pj1q1bycqTEoh/v19mxErSPVOTHJ86dSotW7akYMGCHDlyBCcnJ3Mi29nZ2ZwY/7vo6OgM/T0UERH5t9EyZxEREfnXWrlyJTdu3CAoKCjF+kmTJtGyZUtMJhMODg7Url2bIUOGAIkJI/jfjLf0+PXXXy0Oftm6dSsJCQn4+/sD4OjoSGRkpMWpywcPHrTo43FJ0CRJB0B8//33FuUbN27EYDBQsWLFdI+/bNmy2NvbJ+t7//79/PXXX+bDKFLDz8+PQ4cOWSRbbt68yeHDhy3aQOJMOB8fH/NHVFQU06dPt0gmPU3lypX5888/KV26tLkfb29vwsLC+PHHH4Gnv1tfX1/s7OzYvn27RfmSJUt4//33n7oU/nGuXLlCzZo12bJlCwDFixene/fuVK1alWvXrlm0fe211yhZsiSdO3dm+fLlHDp06Kn979q1y/xno9HIli1bKFu2rDnBaGVlRfPmzdm2bRvbtm3j//7v/57YX+XKlbl06RJ//PGHuezRo0fs3LnT/HnZsmWxs7Pj+vXrFl87Ozs7pk6dmqZlvlWqVOHQoUMWswv//PNP80nckLmxAonJx/v37z/xMKJjx46xa9cu896k7u7u3L17l/j4eCAxnv85gzMqKooHDx6kObkpIiLyb6aZiSIiIvLCi4mJMSeljEYjkZGR7N69m1WrVtG0adPHHiwREBDA4sWLGTp0KE2bNiU+Pp4FCxbg6upKlSpVgMTZRocOHeK333577OEij3Pr1i369etHhw4dOH/+PMHBwVSrVo2AgAAAateuzbJlyxg+fDitWrXizJkzLFq0yCLJ5eTkBCQe4FCiRIlksyVLlizJ//3f/zFr1iwePnyIv78/f/zxB7NmzcLf358aNWqkacx/5+rqynvvvcesWbOws7OjTp06XL58mRkzZlCyZEmaN2+e6r46duzI8uXL6dq1K3369AFg9uzZxMXFmZNypUqVomnTpowaNYorV67g7e3NuXPnmDZtGgULFkxxxtvj9O7dmzZt2tCjRw+CgoLIli0bq1atYtu2bXzxxRfA09+tu7s7HTt2ZMmSJdjb21OlShWOHTvGl19+ycCBA1M9w/GfChQoQN68efnss8+IiYmhcOHChIeH8/PPP9OjR48Ur+nTpw8bN25k5MiRfPvtt9jb2z+2/+nTp2MwGMiXLx8rVqzg3LlzLF682KJN8+bNmTlzJiaTiWbNmj1xvI0bN2bevHn06dOH999/H2dnZxYtWsTt27fNSTI3Nze6devGjBkziImJwd/fn+vXrzNjxgysrKzw8vJK9fvp1KkTa9asoWvXrvTr1w+DwcD06dMtZoFmZqxA4sE6kJjM//tekH83efJkunTpYl72Xq5cORwcHAgODqZUqVIcPHjQfFBPkqS9G1Nz4JKIiMjLQslEEREReeGdOHGCd999F0icSZgrVy6KFSvGxIkTkx0e8ndvvvkmU6ZMYdGiReZDVypWrMjSpUvNeyy2a9eO8PBwunfvzoQJE8iTJ0+qx9W6dWsePnxInz59sLe3p0mTJnz00Ufm5Fm1atUYMmQIy5Yt44cffuCNN95g1qxZtGnTxtxHzpw56dy5M6tWreKnn36yOMgiybhx4yhSpAjffPMNCxcuJE+ePHTo0IE+ffpkaGYlQL9+/Xjttdf48ssvWb16Na6urjRo0IABAwY8cY+5f3J2dmbp0qWMGzeOwYMH4+joSNu2bcmRI4fF4RgTJkxg7ty5rFy5kmvXrpErVy4aNWrEgAEDnjqT8O+8vLxYvnw506ZNY/DgwZhMJkqVKsXs2bOpU6cOkLp3+9FHH/Haa6+xYsUKFi1aRMGCBRk+fDht27ZN9VhSMmvWLIKDg5kxYwaRkZHky5ePvn37PnbPwezZszN69Gh69OhBaGio+STmlIwbN47Jkydz4cIFSpUqxfz5880zWJN4eHjg5eWFm5sb+fLle+JYbW1tWbhwIePGjePjjz/G1taWpk2b4ubmxrlz58ztBgwYQO7cufnqq69YsGABLi4uBAQEMHDgQHPiNjXc3NxYsWIF48aNY+jQoTg6OtKtW7dk+19mVqwAFCpUiDfeeIOff/45xWTizz//zNmzZ5k7d665LCmROGbMGNavX8+QIUMsDqkB2LlzJ76+vhQoUCBN4xEREfk3szKZTKasHoSIiIiI/LsdOXKEqKgoatasaS5LSEigVq1avP322wwbNiwLR/fquX79OoGBgQQHB1O/fv0ntj1z5gxnz56lXr16Fku7W7RoQb58+Zg1a9azHu5zsXXrVoYPH86uXbueevpzasTGxlKjRg0mT55M3bp1M2GEIiIi/w6amSgiIiIiGfbXX3/xwQcf0KdPHypXrsyDBw9YuXIl9+7do3Xr1lk9vFfGH3/8wfbt29m6dSsFCxZMVZLr/v37vP/++7Rt25a33noLg8HAhg0bOH78OB999NFzGPXzUa9ePRYvXsxXX31Ft27dMtzfV199RalSpcwzYUVERF4VmpkoIiIiIplixYoVfPXVV1y6dAk7OzvKli3L+++/j4+PT1YP7ZVx+PBhunbtioeHB1OnTqV06dKpum7Lli0sXLiQiIgITCYTZcqUoVevXi/dXoAXL16kffv2rFu3zrw3YnrcuXOHd955hy+//JIiRYpk4ghFRERefEomioiIiIiIiIiISKpkbMduEREREREREREReWUomSgiIiIiIiIiIiKpomSiiIiIiIiIiIiIpIqSiSIiIiIiIiIiIpIqtlk9AHl+TCYTRqPO25G0s7a2UuxIuil+JL0UO5Jeih3JCMWPpJdiR9JLsSMZkZH4sba2wsrKKs3XKZn4CrGysiI6+j4JCcasHor8i9jaWuPm5qjYkXRR/Eh6KXYkvRQ7khGKH0kvxY6kl2JHMiKj8ePu7oiNTdqTiVrmLCIiIiIiIiIiIqmiZKKIiIiIiIiIiIikipKJIiIiIiIiIiIikipKJoqIiIiIiIiIiEiqKJkoIiIiIiIiIiIiqaLTnF8xNjbKH0vaJMWMYkfSQ/Ej6aXYkfRS7Pz7GY0mjEZTVg9DRETkhWY0GomLS+DhQxvi4h5hMFj+7LSxscXa+tn8/5CSia8Qk8mEs7NDVg9D/qUUO5IRih9JL8WOpJdi59/LYDASFXVfCUUREZEUmEwmoqPv8OBBDAC3blljNBpTbOvgkBNnZ3esrKwydQxKJr5CrKysmLL8AJev38vqoYiIiIiIJFPQw4lB7SpibW1lTiaaTCbWr/+WtWu/5q+/ruDq6k716m/SrVsPHB1zArBz50+EhS3g4sXzuLi40qhREzp27IKdnd0T75d03aVLF3B3z0XDhm/z/vt9LdpERPxJSMgXnDgRjr29HX5+Vejduz/u7rnMbX7++b/MmjWd2NgYGjRoRJ8+A7CxsTHXz5wZzP37DxgyZERmvSoREXlFJSUSc+Z0w94+G7a21slmJZpMJuLiHhETEwmAi0uulLpKNyUTXzGXr98j4srdrB6GiIiIiEiqfPXVUubNCyEoqAMVK/px5colFiwI5ezZCKZPn82ePb8wYsRHNGrUhF69+nHx4nlCQ2dz69atJybv9u3bw4gRHxEY+Ba9evUlIuJP5s0L4cGDGPr1+xCA27dv0b9/Dzw88jJixBgePnzInDkzGTSoP/PmLcHW1pbIyEg+/XQUrVu3xcurDJMnj6Nw4aI0a9YCgKtX/2Ljxu9ZtmzVc3lfIiLy8jIaDeZEYs6czgDY2lqTkJB8ZqK9fTYAYmIicXJyy9Qlzy9EMtFgMBAUFMTo0aOJjY2lY8eOKbYrWLAg27dvf2p/ffr04ebNm3z99dcW5UFBQRw8eJBly5ZRuXJlc/mWLVt4//33+fnnn8mbN2/GHuYZWbx4MX/99RcjRui3mSIiIiLyajAajSxbFkbTps3p2TNxxqCfnz/Ozq6MHj2UU6f+YNmyMEqXfoNhw0ab66Oioli6dBH9+w/EwSHlJe8bN36Ph0deRo/+FBsbG/z8qnD3bhQrVy6nV6/+gA27d+/k7t27zJu3hAIFCgKQM6cTgwb159ixI5QvX5Hw8CPY2NjQvXsvrKysOHhwP/v37zUnE+fNC+Gdd5qTO3eeZ//CRETkpWYwGID/JQqfJqmdwZCAtbV9po3jhUgmLly4kCJFiuDt7U1cXBy7d++2qD99+jTvvfcePXv2TFV/VatWZcKECTx8+JDs2bMDcO/ePY4ePUq+fPnYuXOnRTJx//79FC9e/IVNJAK0b9+exo0bU79+fSpVqpTVwxEREREReeZiY2OpX78hderUsygvVKgwAFeuXGbEiI8xGBIs6u3s7DAajSQkWJb/XXx8HNmzO1gsR3Z1dSU+Pp7Y2Ps4OjoRHx8HQI4cjhZtAKKjE1f7WFlZYWdnb96PKuneAKdPn2Tv3t9YuXJdOp5eREQkZandAzGz90pMkuXH3N27d4+5c+fStWtXAOzt7cmdO7f5w9XVlQkTJlCvXj1atWqVqj4DAgKIj4/n2LFj5rJff/0VZ2dnWrVqxa5duyza79u3j2rVqmXeQz0DdnZ2tGvXjqlTp2b1UEREREREngsnJyc++GAwvr7lLMp37vwvAMWKlaBAgYIULlwUgJiYGH76aTsrVnxJvXoNcHJyemzfLVq8y+XLF/nqq6Xcu3eP8PBjrFz5FTVr1sTFxQWAwMC3eO213EybNplbt27x119XmD17BrlyvUbFiomTEzw9SxMbG8OuXT9x8+YNfv11F76+ZQEICfmCdu06PXEcIiIi/zZZnkxctWoVHh4eeHl5pVi/fPlyrl69yrBhw1LdZ9Isw4MHD5rLdu3aRdWqValRowYnT57kxo0bAERHR3P69GmqV68OwMOHD5k+fTp16tTBx8eHZs2asW3bNnM/a9eu5a233mLTpk0EBgbi6+tL165duX79OuPGjcPPz4+qVasyd+5c8zVxcXFMnTqVunXr4u3tjb+/PwMHDiQyMnEjzMuXL+Pp6cnmzZtp1aoVPj4+1KlThzVr1lg8V4MGDTh8+DCHDx9O9bsQEREREXmZHDt2hOXLl1CjRi2KFy9hLr958wYNGtRi5Mgh5MzpRJcuPZ7YT/nyFWnbtiMhIV/QsGFtevbsjJubu8Uv793dc/Hhh0P45ZedNGvWgNat3+HPP88wZcoX5MyZePhL7tx5+PDDIXz66RhatmxCyZKv07x5a37//TcuXrxAixbvsnHjejp1akPfvu9x+vTJZ/NiREREnpMsTyZu27aN2rVrp1j36NEjQkND6dSpE3nypG2PkYCAAA4dOmT+fPfu3dSoUQNvb29cXV3NsxMPHDiAjY2NednzwIEDWbduHSNGjGD9+vXUrVuXvn37WuzVePXqVVasWEFISAiLFy/m2LFjNG3aFFtbW77++mvatGlDcHAwp0+fBmDy5Mls2LCBcePGsXXrViZNmsQvv/zCnDlzLMY8ceJEevbsybp16wgICGDUqFFcunTJXJ8nTx7KlCnDjh070vQuREREREReBkeOHOKjj94nf/6CDBs2yqIue3YHZsyYw7hxn+Pi4kLXrh04d+7sY/v6/PPxfPXVUjp16soXX4QybNho7t6Nolu3bjx8+ACAH37YwvDhH1G9+psEB89iwoQpFC1ajIED+3LhwnlzX40bN2PLlv/yww87GTt2AnZ2doSGzqRLl/e4ePEC06d/zgcfDObNN2szdOiHxMXFPZP3IyIi8jxk6Z6JRqOR8PBwgoKCUqz/7rvvePToER06dEhz3wEBAYwfPx6TyURERATXrl2jWrVqWFtbExAQwK5du2jRogX79u2jfPny5MiRg4iICLZv305oaKg5wdm3b19OnTpFaGgoderUASA+Pp5Ro0ZRqlQp870OHz7M4MGDsbKyokePHsyePZszZ85QqlQpfHx8qFevnjlhWaBAAapXr86pU6csxty5c2fzPYYMGcLq1as5cuQIhQoVMrfx9PTkyJEjaX4fIiIiIiL/FjY2yec8/PjjVj79dAyFCxdhxozZuLu7WdS7ubng7+8PgJ+fH82bN2b16hUMHz4qWV83btzg++/X0alTF3r27GMu9/X1JSioJRs3fk+LFq1ZvHgevr5lGTdukrlNQEAAbdq0YMGCOUyY8PnferXG3j7xn1ebN28gPj6eJk2asnDhPMqVq0ClSpWoUKEC8+eHcPLkcSpUqJiRVyQvmKSYTSl2RZ5EsSNpYTRa7oGYtCWilRWYTI+/zsbGClvbl+Q056ioKOLj43F3d0+xft26ddSrVw83N7cU658kICCAqKgozp49y+7du/Hy8iJ37twAVK9eneDgYCDx8JXAwEAAc3KvYkXLH+yVKlVKtldhsWLFzH92cHCgYMGC5o0ts2VLPC3n0aNHALzzzjv89ttvBAcHc/78eSIiIjh79myyg1RKlPjfMo2kfVXi4+Mt2ri7uyuZKCIiIiIvNWdnyxOYFyxYwJQpU/Dz8yMkJMT8/8oJCQn88MMPFC1alDJlypjbu7k5UqRIEe7cuYmbmyP/dP58FCaTiapV/S3q3dx8cHV15dKl87i5OXLt2lXq16/3jz4cKVu2LGfOnEmx77i4OBYsmMvw4cN57TVnYmOjee01d3NbJycnHj2KSfFa+ff7Z+yKpJZiR1Lj4UMbbt2yxsYGi+Tg45LRRiNYW1vj4pLDfEBxZnghTnNOOu3s7+7cucOhQ4fo0ePJe508Tp48eShZsiSHDh1i9+7d5j0RITGZOGLECMLDwzlx4gSjRiX/beU/x2dra/mq7OzsLD63tn58hvfjjz9m06ZNNGvWjFq1atGrVy8WLlzI9evXLdrZ2yc/ptv0j9SywWB44r1ERERERP7toqMfYDAk/hvh22/X8Pnnn1Onzlt8/PFnJCRYExkZa247adIkChcuyhdfhJjLrl27yp9/RtCq1bsWbZO4uOTGxsaGX375DV/f//2C/9Kli0RFRZE7tweRkbEUKVKU33/fx507MeaJA48ePeLYsXCKFCmaYt/Lly/F3T0XFSsGEBkZi6OjMxER54iMjCU+Pp6oqCjs7XOkeK38e9nYWOPs7GARuyKpodiRtDAaDRiNRu7ff4i1tT1WVokxZDAYU5yZeP/+Q4xGI7GxcTx4YEhW7+zskK5ZsVmaTHR3d8fe3t58EMnfHTx4ECsrK/PS4PRI2jfxwIEDdOvWzVyeN29eSpYsycqVK3F0dOSNN94AMC9bPnDggMU+jvv376dkyZLpGkNkZCQrVqxg2rRpNGrUyFx+9uxZcuTIka7+0rp/pIiIiIjIv4nBYCQhwcjt27eYPn0qefPmo3nzdzl+/IRFuwIFCtK583tMmPAJ48Z9QmDgW9y6dZOwsAW4uLjw7rvtSEhI/Md5ePgx3NzcKFCgIE5OLrRqFcSXXy7FaAQ/P3+uXbvK4sXzyZ8/P02a/B8JCUa6devJsGGDGDZsMI0bv0N8fByrVn3FzZs3GD36U3PfSe7du0dY2CImTpxqrqtSpRpLlizi++/Xc/ZsBDlzOuHl9Uaya+XlkBS7Imml2JHUscLBIScxMYl5NHv7bNjaWmMwWGYSTSYTcXGPiImJxMEhJ0ajVYoT+dIry2cm+vr6Eh4eTrNmzSzKT548SaFChXBwSD7V12AwcOfOHZycnJ44TTMgIIBBgwYBUKFCBYu66tWr8/XXX1OrVi3zTL+SJUtSs2ZNxo4dC0DRokXZuHEj27dvZ/r06el6PicnJ5ycnNi+fTtvvPEGDx8+5Msvv+T48eOULVs2zf0dP36ct956K11jERERERH5N/ntt1949OgR165dpU+fbsnqhw8fw9tvN8XBIQfLly/hxx+3kD17dvz9q9KzZ1/c3P63nVLPnp1p2LAxI0Z8DECfPu+TJ08e1q37hpUrvyRXrtfw96/C0KGDsbLKRkKCkerVa/L55zNYsmQBw4d/RI4cOShdugzz5i3h9ddLJRvPsmWL8PHxpWzZ8uayMmW86dGjL7Nnz8DZ2ZlPPplAtmyZt9RMREReLc7OiT/bkhKK1tbWj00UOjjkNLfPTFmeTKxbty5r165NVn7r1i1cXV1TvObq1avUqVOHCRMm0Lx588f27e/vT1xcHDVq1Ei2hLh69eqEhYVRrVo1i/Jp06YRHBzMyJEjiY6O5vXXX2fmzJnpTuDZ2toyY8YMJk6cSJMmTXBxSdwYeuDAgYSGhnL//v1U93X79m3OnDnDxIkT0zUWEREREZF/k8aN36Fx43ee2i4wsC6BgXWf2Gb37v0Wn1tZWdG6dVtat25rLrO1tcbNzdFiCXKVKlWpUqVqqsbbu/f7KZa3bduBtm3TfqikiIjIP1lZWeHikgsnJzfAiIuLA3fv3k82O9HGxvaZbZNnZfrnpnzP2d27dwkMDCQsLAwfH59UX7dgwQLy589vsXT4ZTd//nx++uknli9fnu4+BgT/RMSVu5k4KhERERGRzFGigAvTB9YiMjI2S5b7/T2ZqOWGkhaKHUkvxY5kREbjx93dMV17Jmb5SR4uLi507dqVsLCwVF8TExPDpk2bCAgIeHYDe8HExcWxcuVKBgwYkNVDERERERERERGRV1SWL3MG6N69O0FBQRw9ehRfX9+nts+ZMycrV65M8fTjl9XSpUupWbMmfn5+GeqnoIdTJo1IRERERCRz6f9VRUREXnxZvsxZnh+TyYSVlVVWD0NERERE5LEMBiNRUfcxGp//P1O03FDSS7Ej6aXYkYzIqmXOL8TMRHk+rKysiI5+gMGgb1CSejY21jg7Oyh2JF0UP5Jeih1JL8XOv5/RaMqSRKKIiIikjpKJrxiDwajfdki6KHYkIxQ/kl6KHUkvxY6IiIjIs5HlB7CIiIiIiIiIiIjIv4OSiSIiIiIiIiIiIpIqSiaKiIiIiIiIiIhIqiiZKCIiIiIiIiIiIqmiZKKIiIiIiIiIiIikipKJIiIiIiIiIiIikipKJoqIiIiIiIiIiEiqKJkoIiIiIiIiIiIiqaJkooiIiIiIiIiIiKSKkokiIiIiIiIiIiKSKkomioiIiIiIiIiISKoomSgiIiIiIiIiIiKpYpvVA5Dny8ZG+WNJm6SYUexIeih+JL0UO5Jeih3JCMWPpJdiR9JLsfPiMxpNGI2mrB7GC8XKZDLpjbwiTCYTVlZWWT0MEREREREREZF/BYPBSFTU/RcyoWhra42bmyORkbEkJBjTfL27u2O6EtmamfgKsbKyYsryA1y+fi+rhyIiIiIiIiIi8kIr6OHEoHYVsba2skgmGgwGvvpqGRs2rOPmzZsUKlSYtm07UL9+I3ObI0cOMXfubP788ww5c+bkzTdr8957vciRw/GJ97xw4TwhITM4dOggtra2lC1bnr59B1CgQEFzm8OHDzJvXgh//nkaR0dHatWqQ7duPXF0zGlu8/PP/2XWrOnExsbQoEEj+vQZgI2Njbl+5sxgjMZ4PvvsszS/FyUTXzGXr98j4srdrB6GiIiIiIiIiMi/0ty5s/n666/o1q0nXl5l+O23X/j009FYWVlTr14Dzp79kw8+6IOPTzk++WQCN2/eICTkC/766wqTJ097bL/Xr1+jV6+uFC5chDFjPuPRo0fMnx/CwIF9Wbp0JdmyZef06ZMMHNiPSpUqM2HC59y/H83nn0/h/PlzTJs2G4DIyEg+/XQUrVu3xcurDJMnj6Nw4aI0a9YCgKtX/2Ljxu/5/vvv0/X8L3Uy0WAwEBQUxOjRo4mNjaVjx44ptitYsCDbt29PVZ+BgYFcuXKFoUOH0rlz52T1o0ePZtWqVfTt25d+/fplaPxJjh07xtixY1m5ciW2ti/1l0xERERERERE5IV1//59vvlmFa1bt6V9+/8AUKlSZU6d+oNvvllFvXoN+PHHrYAVEyZMIUeOHAAYDAlMmTKRa9eukjdvvhT7XrhwLjly5GD69BCyZ88OQP78+RkyZCAnT/5B2bLlWbVqOa6urowbNxkHh2y4uTkSG/uIzz77mIsXz1O4cFHCw49gY2ND9+69sLKy4uDB/ezfv9ecTJw3L4R33mmOh4dHut7BS52ZWrhwIUWKFMHb25u4uDh2795tUX/69Gnee+89evbsmaZ+7ezs2LJlS7JkYkJCAj/88EOm70vo4+ND8eLFmT9/Pr169crUvkVEREREREREJHXs7e0JDV1Mrly5LMrt7Oy4fz8WgLi4OGxtbc0JQQAXF1cA7t69m2Iy0WQysXPnf2nTpr3FdV5eZfjuuy3mz3v06Et0dDR2dnYW9068bzyQuM2dnZ29OT9lZ2eH0Zi4p+Lp0yfZu/c3Vq5cl95XwEt7XNC9e/eYO3cuXbt2BRK/2Llz5zZ/uLq6MmHCBOrVq0erVq3S1HdAQABHjhzh6tWrFuV79uwhR44c5MuXcoY5I7p06cL8+fO5e1dLlEVEREREREREsoKtrS2vv14Kd/dcmEwmbt++xbJli9m/fy/Nmyfmlxo3fgcrK5g5cxp370Zx9mwEixfPp0SJkpQs+XqK/V69+hcxMTHkzZuPqVMn0ahRHQIDqzJ48Adcu3bN3C5PHg9zH/fv3+fXX39lzpxZlC1b3lzu6Vma2NgYdu36iZs3b/Drr7vw9S0LQEjIF7Rr1wknJ6d0v4OXNpm4atUqPDw88PLySrF++fLlXL16lWHDhqW5b19fX/Lnz8+WLVssyjdt2kTDhg2TzUz85ptvaNasGb6+vpQrV44OHTpw/Phxc31gYCDz5s2jX79+lC9fHn9/f8aPH09CQoK5jZeXFx4eHqxatSrN4xURERERERERkcz1449beOedBsydO5sqVaoSGFgPgGLFitOzZz+++WYVb79dl44d3+X+/ftMnjzd4hCUv4uKigRgzpyZ3Lp1g48/HseQISP588/T9O/fgwcPHli0N5lM1K9fm86dO/PgwQP69h1grsudOw8ffjiETz8dQ8uWTShZ8nWaN2/N77//xsWLF2jR4l02blxPs2bv0KFDB06cOJGm535pk4nbtm2jdu3aKdY9evSI0NBQOnXqRJ48edLVf8OGDS2SiXFxcWzbto23337bot2PP/7ImDFj+M9//sPmzZtZsmQJDx8+ZMSIERbtZs6ciZ+fH99++y39+vVj6dKlbNiwwaJNrVq12LFjR7rGKyIiIiIiIiIimadMGW9mzZrH4MEjOH36JL16deHRo0csW7aYqVMn0qxZC2bMmMPYseNxcHDg/fd7c+fO7RT7io9PnFDm7u7OuHGfU7lyFerXb8Qnn0zkr7+usHXrJov2BoOBKVOmM2/ePLy8vOjTpzsHD+431zdu3IwtW/7LDz/sZOzYCdjZ2REaOpMuXd7j4sULTJ/+OSNHjqRu3br06tWLuLi4VD/3S5lMNBqNhIeHU6pUqRTrv/vuOx49ekSHDh3SfY+GDRtaLHX+5ZdfcHNzo0yZMhbtXF1d+eyzz2jWrBkFChSgbNmytGrVilOnTlm0q1GjBh07dqRo0aK0b98eLy8vDh48aNHG09OTY8eOmde5i4iIiIiIiIjIs2VjY42tbfKPokWLUKlSJZo3b8HYseOIiPiTn37axpIlC6lfvyGDBw/D39+f+vUbMGvWXG7fvsnKlV+m2Jezc04Aqlathr29rbm8XLmyODk5ERFxxqJ99uz2VK1ajZo1azJt2kzy5PFg2bLFFm3s7W1xdHTA1taabds2Ex8fT5MmTdm167+UK1eBSpX86NChA9HR0Rw+fDjV7+OlPIAlKiqK+Ph43N3dU6xft24d9erVw83NLd338Pb2plChQuaDWDZt2kTjxo2TtfPz88Pd3Z2QkBAuXLjAuXPn+OOPP5IlBEuUKGHxuZOTE/Hx8RZl7u7uJCQkEBUV9dhnExERERERERGRzOPs7GD+8+3bt9m5cydvvvmmxSEsAQF+AMTG3uXhw4dUqVIZNzdHc72bmyPFixfn0qXzFuVJ3nijFNbW1lhbk6zeYDDg4pITNzdHtm/fjrOzM35+fub6XLmcKVOmNGfOnEmx77i4OBYsmMvw4cN57TVnYmOjee01d2xsEucY5syZk1u3bqX6fbyUMxOTpDSD786dOxw6dIhGjRpluP+kpc6PHj1i+/btKfa5ceNGmjZtyoULF/D19eWjjz5i6NChydrZ29snKzOZTBafJz2PtfVL/WUTEREREREREXlhREc/IDIylsjIWK5evcXQoUNZunS5uSwyMpYtW7YBUKBAEZydXfjtt98t6s+du8y5c+fJnTuvRXnSR1wclC1bni1btnL9eqS5/IcfdnD//n28vLyJjIxl3rz5jBw5ips37xIdnbiP4l9/3eDgwYMUL14yxb7nzVuIu3suKlYMIDIyFkdHZ65evY7BYCQuLi7Nk9ZeypmJ7u7u2NvbExkZmazu4MGDWFlZUbly5Qzfp2HDhsybN481a9ZQqFChZLMLAUJDQ2nZsiVjx441l23fvh1ITBb+87CWJ7lz5w729va4urpmeOwiIiIiIiIiIvJ0BoORhITECV4eHvlp0OBtFi2aD1hRuvQbnDx5giVLFlG5cgCVK1ela9f3mDbtcxwcclC7dl3u3o1i2bIwrK2teffddua+wsOP4ebmRoECBQHo0aMP/fr14IMP+tGmTXsiI+8wZ85MypTxJiCgBgkJRjp16saHH/Zj2LCPaNGiFZDAnDmhPHjwgC5depj7TnLv3j3CwhYxceJUc12VKtVYsmQR69at488/z+Ds7Ey5cuVS/T5eymQiJJ64HB4eTrNmzSzKT548SaFChXBwcEh2jcFg4M6dOzg5OZE9e/an3qN06dIUKVKE4OBgevTokWKbfPnycfDgQY4fP46TkxM7duzgyy+/BBKnmWbLli3Vz3TixAnKli2b6vYiIiIiIiIiIpK5Bg8eQaFChdm4cT2LFs0jV67XaNWqDZ06dcXKyooWLd4lZ04nVq78kk2bvsfFxZWyZcsxYcIU8uXLb+6nZ8/ONGzYmBEjPgbA29uXL74IZd68EEaOHEz27NmpUaMWffoMMJ8C7efnT3DwLBYvns/w4UOwsbGmQoVKjBr1KUWKFE021mXLFuHj40vZsuXNZWXKeNOjR1+mTPkcFxcXpk+fnqo8WJKXNplYt25d1q5dm6z81q1bj53Zd/XqVerUqcOECRNo3rx5qu7TsGFD5syZ89hl06NGjWL06NG0b98ee3t7vLy8mDx5Mh988AFHjhxJ0wzJPXv20KJFi1S3FxERERERERGRzGVvb0+nTl3p1KnrY9vUr9+I+vWfvMXe7t37k5X5+JRl5sy5T7yuUqXKVKpUGVtba9zcHImMjE02IzFJ797vp1jetm0H+vbtad43MS2sTP/cmO8lcffuXQIDAwkLC8PHxyfV1y1YsID8+fNnyp6Kmeno0aN07tyZHTt24OLiku5+BgT/RMSVu5k4MhERERERERGRl0+JAi5MH1jricm6rJSaZOKTuLs7piuZ+NKe5OHi4kLXrl0JCwtL9TUxMTFs2rSJgICAZzewdAoLC6NLly4ZSiSKiIiIiIiIiIhkxEu7zBmge/fuBAUFcfToUXx9fZ/aPmfOnKxcuTLFk5Wz0tGjRzl//jyTJk3KcF8FPZwyYUQiIiIiIiIiIi835VBS9tIuc5bk0np6tIiIiIiIiIjIq8xgMBIVdR+j8cVLn2XVMueXemaiWLKysiI6+gEGw4u3zl9eXDY21jg7Oyh2JF0UP5Jeih1JL8WOZITiR9JLsSPppdh58RmNphcykZiVlEx8xRgMxhdy01B58Sl2JCMUP5Jeih1JL8WOZITiR9JLsSPppdiRf5OX9gAWERERERERERERyVxKJoqIiIiIiIiIiEiqKJkoIiIiIiIiIiIiqaJkooiIiIiIiIiIiKSKkokiIiIiIiIiIiKSKkomioiIiIiIiIiISKoomSgiIiIiIiIiIiKpomSiiIiIiIiIiIiIpIqSiSIiIiIiIiIiIpIqSiaKiIiIiIiIiIhIqiiZKCIiIiIiIiIiIqmiZKKIiIiIiIiIiIikim1WD0CeLxsb5Y8lbZJiRrGTMqPRhNFoyuphiIiIiIiIiDwXSia+QkwmE87ODlk9DPmXUuykzGAwEhV1XwlFEREREREReSUomfgKsbKyYsryA1y+fi+rhyLyUijo4cSgdhWxtrYyJxMPHtxP//49H3tNly7v0aXLe0/sNyEhgZ49u5A9e3ZmzZpnUXfhwnlCQmZw6NBBbG1tKVu2PH37DqBAgYLmNvPnz+G779aSLVs2unbtQaNGTcx1JpOJbt068u677ahXr0F6HltEREREREReYUomvmIuX79HxJW7WT0MkZeWp6cXoaGLk5XPnz+HkyePU7du/af28eWXYZw8eYJy5SpYlF+/fo1evbpSuHARxoz5jEePHjF/fggDB/Zl6dKVZMuWnV9/3c2KFcsYOnQU0dF3mTTpM7y8ylC8eAkAtm3bisFg4K23nj4OERERERERkX96ITZBMxgMtG7dmvDwcHPZunXraNSoET4+Prz99tts3rw51f316dOH1q1bJysPCgrC09OTvXv3WpRv2bIFT09Prl27lv6HeMYWL17MuHHjsnoYIvIUjo458fb2sfiIjLzNgQN7GTp0FIULF3ni9WfOnGbZssXkypUrWd3ChXPJkSMH06eHUK1aDQID6zJmzGc8fPiQkyf/AGD//t+pVMmfevUa0rJlG4oWLc6hQwcAiI+PZ968OfTs2RcrK6vMf3gRERERERF56b0QycSFCxdSpEgRvL29Afjuu+8YPnw47777Lhs2bKBRo0YMHDiQQ4cOpaq/qlWrcuLECR4+fGguu3fvHkePHiVfvnzs3LnTov3+/fspXrw4efPmzbyHymTt27dn586d7N+/P6uHIiJp8OjRQ6ZN+5yqVatTu3bdJ7ZNSEhg3LiPadmyDYUKWSYdTSYTO3f+l8aN3yF79uzmci+vMnz33RbKli0PJG5nkC1bNnO9nZ0dRqMRgG+/XU3evHmpUqVqZj2eiIiIiIiIvGKyPJl479495s6dS9euXYHEfzDPmDGDTp060alTJ4oUKUKfPn2oWrVqshmFjxMQEEB8fDzHjh0zl/366684OzvTqlUrdu3aZdF+3759VKtWLfMe6hmws7OjXbt2TJ06NauHIiJpsGrVV9y+fYv+/T98attFi+aRkBBP1649ktVdvfoXMTEx5M2bj6lTJ9GoUR0CA6syePAHFrOq33jDl0OHDnDx4gWOHw/n7Nk/8fEpS2xsDEuXLqJXr36Z+nwiIiIiIiLyasnyZOKqVavw8PDAy8sLgLNnz3LlyhWaNGli0W7hwoX06JH8H9gpSZplePDgQXPZrl27qFq1KjVq1ODkyZPcuHEDgOjoaE6fPk316tUBePjwIdOnT6dOnTr4+PjQrFkztm3bZu5n7dq1vPXWW2zatInAwEB8fX3p2rUr169fZ9y4cfj5+VG1alXmzp1rviYuLo6pU6dSt25dvL298ff3Z+DAgURGRgJw+fJlPD092bx5M61atcLHx4c6deqwZs0ai+dq0KABhw8f5vDhw6l8uyKSleLj41mzZhV16tSjYMFCT2z7xx/HWbnyS4YPH4O9vX2y+qioxO8Xc+bM5NatG3z88TiGDBnJn3+epn//Hjx48ACA2rXrULNmbTp0aE3//j3o1q0nXl6lWbYsjHLlKuDpWZqZM6fRtm0LxowZRlRUVKY/t4iIiIiIiLy8sjyZuG3bNmrXrm3+/Pz58wDcv3+frl27EhAQQKtWrdixY0ea+g0ICLBYFr17925q1KiBt7c3rq6u5tmJBw4cwMbGhsqVKwMwcOBA1q1bx4gRI1i/fj1169alb9++bN++3dzX1atXWbFiBSEhISxevJhjx47RtGlTbG1t+frrr2nTpg3BwcGcPn0agMmTJ7NhwwbGjRvH1q1bmTRpEr/88gtz5syxGPPEiRPp2bMn69atIyAggFGjRnHp0iVzfZ48eShTpkya34WIZI3//ncbd+7cJiiowxPbPXr0iHHjPqZVqyDKlPFOsU18fAIA7u7ujBv3OZUrV6F+/UZ88slE/vrrClu3bgISlzl/9NFwfvxxFz/8sJO2bTty8+YN1q5dzXvv9Wbt2tXs27eHzz6bjLW1DVOmTMjchxYREREREZGXWpae5mw0GgkPDycoKMhcFhMTA8CQIUPo27cvgwYNYuvWrfTu3ZvFixcTEBCQqr4DAgIYP348JpOJiIgIrl27RrVq1bC2tiYgIIBdu3bRokUL9u3bR/ny5cmRIwcRERFs376d0NBQc4Kzb9++nDp1itDQUOrUqQMkzjYaNWoUpUqVMt/r8OHDDB48GCsrK3r06MHs2bM5c+YMpUqVwsfHh3r16pkTlgUKFKB69eqcOnXKYsydO3c232PIkCGsXr2aI0eOUKjQ/2Y0eXp6cuTIkfS8bhF5RmxsUv69zM8/76B48RKULu31xOtDQkIxmUx06/YekLi/4f/ORzFiY2ODs3NOAKpWrYa9/f++dZcrVxYnJyciIs5ga/u/cdja/m9fxUWL5lKvXn2KFy/O5MnjaNjwbUqVep02bdry3nudsbIyYWNjk/YHT4Wkd/O4dyTyOIodSS/FjmSE4kfSS7Ej6aXYkYzIqvjJ0mRiVFQU8fHxuLu7m8vs7OwA6Nq1K//3f/8HQOnSpTlx4kSak4lRUVGcPXuW3bt34+XlRe7cuQGoXr06wcHBQOLhK4GBgQDm5F7FihUt+qpUqVKyvQqLFStm/rODgwMFCxY0n46adPjBo0ePAHjnnXf47bffCA4O5vz580RERHD27FkqVapk0WeJEiXMf3ZycgISE5d/5+7urmSiyAvG2dkhWVl8fDx79+6hW7duuLk5PvH6n3/ewZUrV6hdO/nerdWrV2bChAnUr18fa2trrK1J1p/BYMDFJWeK9zlz5gzbt//Ili1bcHNz5O7dKPLly4ObmyMFC3pgMBiAONzcXkvbQ6dRSu9IJDUUO5Jeih3JCMWPpJdiR9JLsSMZ8bzjJ0uTiUmSThoFzCcqJ836S1KyZEl++umnVPeZJ08eSpYsyaFDh9i9e7d5T0RITCaOGDGC8PBwTpw4wahRo546Pltby1eVlPRMYm39+Czwxx9/zKZNm2jWrBm1atWiV69eLFy4kOvXr1u0S2mfNJPJZPG5wWB44r1E5PmLjn6AwWC0KDt58g8ePHhAqVJliIyMfeL1kyYFJ/vFwcSJnwEwdOhI8ufPT1wclC1bni1bttK5cw/z94t9+37n/v37eHl5p3ifCRMm0qrVu9jb5yQyMhYXF1cuXvyLyMhYzp69iI2NDSaT3VPHmF42NtY4Ozuk+I5EnkSxI+ml2JGMUPxIeil2JL0UO5IRGY0fZ2eHdM1qzNJkoru7O/b29uaDSADKlCmDo6MjR44csZi5d/r0aQoXLpym/pP2TTxw4ADdunUzl+fNm5eSJUuycuVKHB0deeONN4D/JTAPHDhgsY/j/v37KVmyZLqeMTIykhUrVjBt2jQaNWpkLj979iw5cuRIV3958uRJ11hE5NkwGIwkJFh+4z5z5gwAhQoVS1YXGxvDuXPnKFCgIG5ubhQtWoJ/cnBI/P7w+uuJS6QTEoz06NGHfv168MEH/WjTpj2RkXeYM2cmZcp4ExBQI9l9Dh06wLFjxxg58lNzXZUq1fj22zWULFmKNWtWUqVKVcA62bWZLaV3JJIaih1JL8WOZITiR9JLsSPppdiRjHje8ZPlU9x8fX0JDw83f549e3a6devG7Nmz2bBhAxcvXmTOnDn88ssvdO7cGUicnXfz5k0ePnz4xL4DAgLYtCnxUIIKFSpY1FWvXp2NGzdStWpV80y/kiVLUrNmTcaOHct///tfzp07x6xZs9i+fTtdunRJ1/M5OTnh5OTE9u3buXDhAqdOnWLUqFEcP36cuLi4NPd3/PhxypYtm66xiMjzc+fObeB/Wxb83alTJ+nZszO//bY7TX16e/vyxRehGI1GRo4czOzZ06lWrQZTp85Mcc/DkJAvaN/+PxZjaNUqiHLlKjB27AgSEhIYNGhYGp9MREREREREXmVZvsy5bt26rF271qKsd+/eODg4MG3aNK5fv06JEiWYOXMm/v7+QOJpynXq1GHChAk0b978sX37+/sTFxdHjRo1ki0hrl69OmFhYVSrZrlH2bRp0wgODmbkyJFER0fz+uuvM3PmTN566610PZ+trS0zZsxg4sSJNGnSBBcXF/z9/Rk4cCChoaHcv38/1X3dvn2bM2fOMHHixHSNRUSen3btOtGuXacU6ypUqMTu3fufeP2sWfNSLPfxKcvMmXNTNYb585ckK8uWLRujRn2SqutFRERERERE/snK9M9N+Z6zu3fvEhgYSFhYGD4+Pqm+bsGCBeTPn99i6fDLbv78+fz0008sX7483X0MCP6JiCt3M3FUIq+uEgVcmD6wFpGRsVqS8Bi2tta4uTnqHUmaKXYkvRQ7khGKH0kvxY6kl2JHMiKj8ePu7piuPROzfJmzi4sLXbt2JSwsLNXXxMTEsGnTplSf7PwyiIuLY+XKlQwYMCCrhyIiIiIiIiIiIq+oLF/mDNC9e3eCgoI4evQovr6+T22fM2dOVq5cmeLpxy+rpUuXUrNmTfz8/DLUT0GP5Pu3iUj66O+TiIiIiIiIvGpeiGSinZ0da9asSdM1r1IiEbA4jTq9TCYTg9pVzITRiEgSg8GI0Zilu0WIiIiIiIiIPDcvRDJRng8rKyuiox9gMGgfBkk9GxtrnJ0dFDuPYTSalEwUERERERGRV4aSia8Yg8GoTV0lXRQ7IiIiIiIiIpLlB7CIiIiIiIiIiIjIv4OSiSIiIiIiIiIiIpIqSiaKiIiIiIiIiIhIqiiZKCIiIiIiIiIiIqmiZKKIiIiIiIiIiIikipKJIiIiIiIiIiIikipKJoqIiIiIiIiIiEiqKJkoIiIiIiIiIiIiqaJkooiIiIiIiIiIiKSKkokiIiIiIiIiIiKSKkomioiIiIiIiIiISKoomSgiIiIiIiIiIiKpYpvVA5Dny8ZG+WNJm6SYUexIeih+ni2j0YTRaMrqYYiIiIiIyCtEycRXiMlkwtnZIauHIf9Sih3JCMXPs2EwGImKuq+EooiIiIiIPDdKJr5CrKysmLL8AJev38vqoYiISAYV9HBiULuKWFtbPTaZeP36NTp1asP48VOoUKGSuXznzp8IC1vAxYvncXFxpVGjJnTs2AU7O7sn3vPEiXBCQr7g1Kk/cHDIQb16DXnvvd7Y29un2H7Xrp8YNmwQX3wRanH/n3/+L7NmTSc2NoYGDRrRp88AbGxszPUzZwbz8OEDJk+emPoXIiIiIiIiz4WSia+Yy9fvEXHlblYPQ0REnrFr164ycGBfYmJiLMp/+203I0Z8RKNGTejVqx8XL54nNHQ2t27dYsiQEY/t78qVy3zwQR+8vcvyyScTOH/+PPPnhxAbG8OQISOTtb97N4rPP5+QrDwyMpJPPx1F69Zt8fIqw+TJ4yhcuCjNmrUA4OrVv9i48Xu++mp1Bt+AiIiIiIg8Cy/1JlYGg4HWrVsTHh5uLlu3bh2NGjXCx8eHt99+m82bN6epz8DAQDw9PVm8eHGK9aNHj8bT05OZM2dmaOx/d+zYMVq2bElCQkKm9SkiIi8no9HIxo3r6dKlPVFRUcnqly0Lo3TpNxg2bDR+fv60aPEubdq0Y9Om9Tx48OCx/S5fvoQcORyZOHEqAQHVCQpqT79+A9m4cT3Xrl1N1n7q1EnY2ib/nWV4+BFsbGzo3r0Xb75Zi7p167N//15z/bx5IbzzTnPy5MmTvhcgIiIiIiLP1EudTFy4cCFFihTB29sbgO+++47hw4fz7rvvsmHDBho1asTAgQM5dOhQmvq1s7Njy5YtycoTEhL44YcfsLKyypTxJ/Hx8aF48eLMnz8/U/sVEZGXT0TEGaZOnUjDhm8zatTYZPUjRnzMyJEfW5TZ2dlhNBqf+EurvXv3ULVqdYul0LVq1cFoNPL7779ZtN2+/Qf27fudXr36JevHysoKOzt788/KpHsDnD59kr17f6N9+/+k9nFFREREROQ5e2mTiffu3WPu3Ll07doVSDx8ZMaMGXTq1IlOnTpRpEgR+vTpQ9WqVdm7d+9TerMUEBDAkSNHuHrVcibGnj17yJEjB/ny5cu050jSpUsX5s+fz927WqIsIiKP5+GRl5Urv6Vfv4Fky5Y9WX2BAgUpXLgoADExMfz003ZWrPiSevUa4OTklGKfjx495Nq1qxQqVNii3M3NDUdHRy5dumguu3PnNsHBk3j//Q/Jleu1ZH15epYmNjaGXbt+4ubNG/z66y58fcsCEBLyBe3adXrsOEREREREJOu9tMnEVatW4eHhgZeXFwBnz57lypUrNGnSxKLdwoUL6dGjR5r69vX1JX/+/MlmJ27atImGDRsmm5n4zTff0KxZM3x9fSlXrhwdOnTg+PHj5vrAwEDmzZtHv379KF++PP7+/owfP95ihoiXlxceHh6sWrUqTWMVEZFXi7OzC3nyeDy13c2bN2jQoBYjRw4hZ04nunR5/M/Ce/cS9110dMyZrC5HDkdiY2PNn0+ePI433vClQYO3U+wrd+48fPjhED79dAwtWzahZMnXad68Nb///hsXL16gRYt32bhxPe3ataZDhw6cOnXyqc8iIiIiIiLPz0ubTNy2bRu1a9c2f37+/HkA7t+/T9euXQkICKBVq1bs2LEjXf03bNjQIpkYFxfHtm3bePtty388/fjjj4wZM4b//Oc/bN68mSVLlvDw4UNGjLDc5H7mzJn4+fnx7bff0q9fP5YuXcqGDRss2tSqVSvd4xUREfm77NkdmDFjDuPGfY6Liwtdu3bg3LmzKbY1mRKXIae0i4fJZMLaOrFi8+YNHDlymMGDhz/x3o0bN2PLlv/yww87GTt2AnZ2doSGzqRLl/e4ePEC06d/zqBBQ6hbty4fffQBcXFxGXtYERERERHJNC/lac5Go5Hw8HCCgoLMZUmnWQ4ZMoS+ffsyaNAgtm7dSu/evVm8eDEBAQFpukfDhg1ZuHAhV69eJV++fPzyyy+4ublRpkwZi3aurq589tlnNGvWDIACBQrQqlUrxowZY9GuRo0adOzYEYCiRYuyZs0aDh48aL4OwNPTk6VLl2I0GrG2fmnzwCIikgY2No//eZBUZ2Njja2tZTs3Nxf8/f0B8PPzo3nzxqxevYLhw0cl68fV1QWABw/uJ+vnwYMHODk5cefOLb74Yir9+3/Aa6/lAoxYWZkAsLIyYWVlwsbG5m9XWmNvn/i/IZs3byA+Pp4mTZqycOE8ypWrQKVKftSqVZ1p06Zx8uRxKlSomKb3Iq+uv8e9SFopfiS9FDuSXoodyYisip+XMpkYFRVFfHw87u7u5rKkDeO7du3K//3f/wFQunRpTpw4ka5kore3N4UKFWLLli107tyZTZs20bhx42Tt/Pz8cHd3JyQkhAsXLnDu3Dn++OMP82bzSUqUKGHxuZOTE/Hx8RZl7u7uJCQkEBUVZfFsIiLy6nJ2dnhsnZNTdvN/3dwczQeFFS1a1OKXX25ujhQpUoQ7d27i5uaYrB83N0c8PDy4efOaRf2dO3eIjY3B27s0x48f4t69e4wb9wnjxn1icX2/fr0oUKBAirPr4+LiWLBgLsOHD+e115yJjY3mtdfczc/l5OTEo0cxKY5L5Eme9HdD5GkUP5Jeih1JL8WOZMTzjp+XMpmY5O8Ju7x58wJQqlQpizYlS5bkp59+Slf/SUud27Zty/bt21m9enWyNhs3bmTw4ME0btwYX19fWrZsyenTp/nkE8t/aNnb2ye71mQypfg8mpUoIiJJoqMfYDAYU6y7d++h+b+RkYn7Gk6aNInChYvyxRch5nbXrl3lzz8jaNXqXXO7f/Lz82fHjh307Nnf/DNr7dr12NjYULq0L9mzZ2fx4i8trjl58gSTJo1nyJDh+PiUTbHv5cuX4u6ei4oVA4iMjMXR0ZmIiHNERz8ge3YboqKisLfP8dhxifyTjY01zs4OT/y7IfI4ih9JL8WOpJdiRzIio/Hj7OyQrlmNL2Uy0d3dHXt7eyIjI81lZcqUwdHRkSNHjlCpUiVz+enTpylcuHBK3TxVw4YNmTdvHmvWrKFQoULJZhcChIaG0rJlS8aOHWsu2759O5CYLPznYS1PcufOHezt7XF1dU3XeEVE5OVjMBhJSEj5fxyS/ofi7206d36PCRMSZw8GBr7FrVs3CQtbgIuLC+++287cLjz8GG5ubhQoUBCAoKCO/PDDVgYM6Mu777bj0qULzJsXQtOmzcmVKw8Ar7/ubHH/pINbChQoTNGiJZKN8969e4SFLWLixKnmuipVqrFkySLWr/+OK1cukDOnE15ebzz2GUUe50l/N0SeRvEj6aXYkfRS7EhGPO/4eSmTiZB44nJ4eLh5z8Hs2bPTrVs3Zs+ejYeHB76+vmzcuJFffvmFsLAwAAwGA3fu3MHJyYns2bM/9R6lS5emSJEiBAcHP/ZE6Hz58nHw4EGOHz+Ok5MTO3bs4MsvE2duxMXFkS1btlQ/04kTJyhbtmyq24uIiPzT2283xcEhB8uXL+HHH7eQPXt2/P2r0rNnX9zc/reFRs+enWnYsDEjRnwMQJEiRZk2bRazZ89g1KghuLi40rp1W7p165nusSxbtggfH1/Kli1vLitTxpsePfoya9Z0XF1dGTduItmyPf1nsoiIiIiIPB8vbTKxbt26rF271qKsd+/eODg4MG3aNK5fv06JEiWYOXOmeQP6q1evUqdOHSZMmEDz5s1TdZ+GDRsyZ84cGjVqlGL9qFGjGD16NO3bt8fe3h4vLy8mT57MBx98wJEjR6hcuXKqn2nPnj20aNEi1e1FROTVVqFCJXbv3p+sPDCwLoGBdZ94bUrXlS1bnnnzwjJ8/yS9e7+fYnnbth3o2LETbm6OREbG6rf0IiIiIiIvECvTPzfme0ncvXuXwMBAwsLC8PHxSfV1CxYsIH/+/I9NDmaVo0eP0rlzZ3bs2IGLi0u6+xkQ/BMRV+5m4shERCQrlCjgwvSBtV7aZJutrbWSiZIuih3JCMWPpJdiR9JLsSMZkdH4cXd3TNeeiS/tSR4uLi507drVvIQ5NWJiYti0aVOaT3Z+HsLCwujSpUuGEokiIiIiIiIiIiIZ8dIucwbo3r07QUFBHD16FF9f36e2z5kzJytXrkzxZOWsdPToUc6fP8+kSZMy3FdBD6dMGJGIiGQ1fT8XEREREZGs8NIuc5bk0np6tIiIvNgMBiNRUfcxGl++H+Va8iPppdiRjFD8SHopdiS9FDuSEVm1zPmlnpkolqysrIiOfoDBoG9Qkno2NtY4OzsodiRdFD/PltFoeikTiSIiIiIi8uJSMvEVYzAY9dsOSRfFjmSE4kdEREREROTl8NIewCIiIiIiIiIiIiKZS8lEERERERERERERSRUlE0VERERERERERCRVlEwUERERERERERGRVFEyUURERERERERERFJFyUQRERERERERERFJFSUTRUREREREREREJFWUTBQREREREREREZFUUTJRREREREREREREUkXJRBEREREREREREUkVJRNFREREREREREQkVZRMFBERERERERERkVSxzeoByPNlY6P8saRNUswodiQlRqMJo9GU1cMQERERERGR50TJxFeIyWTC2dkhq4ch/1KKHUmJwWAkKuq+EooiIiIiIiKvCCUTXyFWVlZMWX6Ay9fvZfVQROQlUNDDiUHtKmJtbWWRTDQajaxcuZzvvvuGmzdvUKBAAZo1a0Hz5u9iZWWVrJ9Nm75n/Pixj73PiBEf07BhYwBOnAgnJOQLTp36AweHHNSr15D33uuNvb29uf38+XP47ru1ZMuWja5de9CoURNznclkolu3jrz7bjvq1WuQGa9BRERERETklaJk4ivm8vV7RFy5m9XDEJGX2KxZ0/j66xU0a9aC2rUDiYy8yfTp07ly5Qr9+3+YrH1AQHVCQxf/o9TEpEmfERsbS5Uq1QC4cuUyH3zQB2/vsnzyyQTOnz/P/PkhxMbGMGTISAB+/XU3K1YsY+jQUURH32XSpM/w8ipD8eIlANi2bSsGg4G33qr/TN+BiIiIiIjIy+qF2ATNYDDQunVrwsPDAbhy5Qqenp7JPlavXp2q/vr06UPr1q2TlQcFBeHp6cnevXstyrds2YKnpyfXrl3L+MM8I4sXL2bcuHFZPQwRkSeKiorim2++pkmT/2PQoGH4+wcQFBTE6NGfsGbNKi5cOJ/sGjc3N7y9fSw+Tpw4zoUL5/n000m4ubkBsHz5EnLkcGTixKkEBFQnKKg9/foNZOPG9Vy7dhWA/ft/p1Ilf+rVa0jLlm0oWrQ4hw4dACA+Pp558+bQs2ffFGdIioiIiIiIyNO9EMnEhQsXUqRIEby9vQE4deoU2bJlY9euXezevdv80aRJk6f0lKhq1aqcOHGChw8fmsvu3bvH0aNHyZcvHzt37rRov3//fooXL07evHkz76EyWfv27dm5cyf79+/P6qGIiDzWpUsXMBgMVKtWw6K8fPmKGI1G9uz55al93L59i/nz59CsWQveeMPbXL537x6qVq2OnZ2duaxWrToYjUZ+//03IHE7h2zZspnr7ezsMBqNAHz77Wry5s1LlSpVM/SMIiIiIiIir7IsTybeu3ePuXPn0rVrV3PZ6dOnKVasGHny5CF37tzmj+zZs6eqz4CAAOLj4zl27Ji57Ndff8XZ2ZlWrVqxa9cui/b79u2jWrVqmfNAz4idnR3t2rVj6tSpWT0UEZHHcnVNnEV47dpfFuWXL18C4OrVv5Jd808LFszFxsaa7t17m8sePXrItWtXKVSosEVbNzc3HB0duXTpIgBvvOHLoUMHuHjxAsePh3P27J/4+JQlNjaGpUsX0atXvww9n4iIiIiIyKsuy5OJq1atwsPDAy8vL3PZqVOnKFmyZLr7TJplePDgQXPZrl27qFq1KjVq1ODkyZPcuHEDgOjoaE6fPk316tUBePjwIdOnT6dOnTr4+PjQrFkztm3bZu5n7dq1vPXWW2zatInAwEB8fX3p2rUr169fZ9y4cfj5+VG1alXmzp1rviYuLo6pU6dSt25dvL298ff3Z+DAgURGRgJw+fJlPD092bx5M61atcLHx4c6deqwZs0ai+dq0KABhw8f5vDhw+l+NyIiz1KhQoXx8SnLokXz+fnn/xITc48TJ04wfvwn2Nvb8+DBgydeHxl5h61bN9K8eWucnJzM5ffuxQDg6Jgz2TU5cjgSGxsLQO3adahZszYdOrSmf/8edOvWEy+v0ixbFka5chXw9CzNzJnTaNu2BWPGDCMqKirzHl5EREREROQVkOXJxG3btlG7dm2LstOnT3P79m3atm1L1apVCQoKSjab8GkCAgI4dOiQ+fPdu3dTo0YNvL29cXV1Nfd34MABbGxsqFy5MgADBw5k3bp1jBgxgvXr11O3bl369u3L9u3bzX1dvXqVFStWEBISwuLFizl27BhNmzbF1taWr7/+mjZt2hAcHMzp06cBmDx5Mhs2bGDcuHFs3bqVSZMm8csvvzBnzhyLMU+cOJGePXuybt06AgICGDVqFJcuXTLX58mThzJlyrBjx440vQsRkedp3LjJlC1bjhEjPqJu3Zp06tSJd95pjqurGw4ODk+8dv36bzEajbRqFWRRbjIlLlVOaatDk8mEtbXV/6+34qOPhvPjj7v44YedtG3bkZs3b7B27Wree683a9euZt++PXz22WSsrW2YMmVC5jy0iIiIiIjIKyJLT3M2Go2Eh4cTFPS/fzTGxcVx/vx5HBwcGDx4MDly5GD9+vV0796dxYsXExAQkKq+AwICGD9+PCaTiYiICK5du0a1atWwtrYmICCAXbt20aJFC/bt20f58uXJkSMHERERbN++ndDQUHOCs2/fvpw6dYrQ0FDq1KkDJG7iP2rUKEqVKmW+1+HDhxk8eDBWVlb06NGD2bNnc+bMGUqVKoWPjw/16tUzJywLFChA9erVOXXqlMWYO3fubL7HkCFDWL16NUeOHKFQoULmNp6enhw5ciSdb1xEJPPZ2Fj+XipPntx8/vk07t27x507tyhTphQxMY/4/PMJuLi4YGv7+N9j/fzzDvz9q5A7dy6LcldXFwAePLif7PoHDx7g5ORkUW5r+79tMRYtmku9evUpXrw4kyePo2HDtylV6nXatGnLe+91xsrKhI2NTbqfX56NpLj6Z3yJPI1iRzJC8SPppdiR9FLsSEZkVfxkaTIxKiqK+Ph43N3dzWX29vbs27cPW1tb7O3tAfD29iYiIoKFCxemKZkYFRXF2bNn2b17N15eXuTOnRuA6tWrExwcDCQevhIYGAhgTu5VrFjRoq9KlSol26uwWLFi5j87ODhQsGBB8+mgSZv/P3r0CIB33nmH3377jeDgYM6fP09ERARnz56lUqVKFn2WKFHC/Oek5X3x8fEWbdzd3ZVMFJEXirOz5WzDjRs3UqJECby8vChcOPFgqytXTmEwGKhYsRxubo4p9nPt2jVOnz5F165dkrVxc3PEw8ODmzevWdTduXOH2NgYvL1Lp9jvmTNn2L79R7Zs2YKbmyN370aRL18e3NwcKVjQA4PBAMTh5vZaBt+CPCv/jC+R1FLsSEYofiS9FDuSXoodyYjnHT9ZmkxMknTSZpIcOXIka1OqVCl2796d6j7z5MlDyZIlOXToELt37zbviQiJycQRI0YQHh7OiRMnGDVq1FPHZ2tr+ar+fpoogLX147PAH3/8MZs2baJZs2bUqlWLXr16sXDhQq5fv27RLil5+ncmk8nic4PB8MR7iYg8b9HRDzAY/vd9fNas2ZQoUZJPP52AjY01zs4OzJ+/ECcnJzw9vYmMjE2xn19/3QtAiRJeKbbx8/Nnx44d9OzZ3/z9cu3a9djY2FC6tG+K10yYMJFWrd7F3j4nkZGxuLi4cvHiX0RGxnL27EVsbGwwmeweOybJOkmx88/4EnkaxY5khOJH0kuxI+ml2JGMyGj8ODs7pGtWY5YmE93d3bG3tzcfRAJw8uRJgoKCmD9/vsXMvfDw8DQfypK0b+KBAwfo1q2buTxv3ryULFmSlStX4ujoyBtvvAFgXrZ84MABi30c9+/fn+4DYSIjI1mxYgXTpk2jUaNG5vKzZ8+mmDRNTX958uRJ11hERJ4Fg8FIQsL/fnC1aPEuU6ZMoEiRYpQvX56dO3ewdetmBg0aSrZsObh7N5pz585RoEBB3NzczNedOXMGe3t78uYtYNFfkqCgjvzww1YGDOjLu++249KlC8ybF0LTps3JlStPsmsOHTrAsWPHGDnyU3NdlSrV+PbbNZQsWYo1a1ZSpUpVwDrF+8mL4Z/xJZJaih3JCMWPpJdiR9JLsSMZ8bzjJ8unuPn6+hIeHm7+vFSpUrz++uuMHTuW/fv3ExERwYQJEzh8+DA9e/YEEmfn3bx5k4cPHz6x74CAADZt2gRAhQoVLOqqV6/Oxo0bqVq1qnmmX8mSJalZsyZjx47lv//9L+fOnWPWrFls376dLl26pOv5nJyccHJyYvv27Vy4cIFTp04xatQojh8/TlxcXJr7O378OGXLlk3XWEREnod33mlOv34D2bx5Ax9++D7Hjh3jk0/G06xZSwBOnTpJz56d+e03y9nmd+7cIWdOp5S6BKBIkaJMmzaLhw8fMmrUEFat+orWrdvy/vsfptg+JOQL2rf/j8Wp0K1aBVGuXAXGjh1BQkICgwYNy4QnFhEREREReXVk+TLnunXrsnbtWvPn1tbWhIaGMmXKFAYMGEB0dDRlypRh8eLFeHp6AomnKdepU4cJEybQvHnzx/bt7+9PXFwcNWrUSLaEuHr16oSFhVGtWjWL8mnTphEcHMzIkSOJjo7m9ddfZ+bMmbz11lvpej5bW1tmzJjBxIkTadKkCS4uLvj7+zNw4EBCQ0O5f/9+qvu6ffs2Z86cYeLEiekai4jI89K6dRCtWwdha2uNm5sjkZGx5t+UVahQid279ye7ZtCgoQwaNPSJ/ZYtW55588JSNYb585ckK8uWLRujRn2SqutFREREREQkOSvTPzfle87u3r1LYGAgYWFh+Pj4pPq6BQsWkD9/foulwy+7+fPn89NPP7F8+fJ09zEg+CcirtzNxFGJyKuqRAEXpg+sZZEo/KeUkokiqaHYkfRS7EhGKH4kvRQ7kl6KHcmIjMaPu7tjuvZMzPJlzi4uLnTt2pWwsLBUXxMTE8OmTZtSfbLzyyAuLo6VK1cyYMCArB6KiIiIiIiIiIi8otK8zLlnz5507NiRqlWrZtogunfvTlBQEEePHsXX1/ep7XPmzMnKlStTPP34ZbV06VJq1qyJn59fhvop6PH4/chERNJC309ERERERERePWlOJu7bt4/OnTtn6iDs7OxYs2ZNmq55lRKJgMVp1OllMpkY1K5iJoxGRCSRwWDEaMzS3TJERERERETkOUpzMrFatWqsXr2acuXKkS1btmcxJnlGrKysiI5+gMGgfRgk9WxsrHF2dlDsSIqMRpOSiSIiIiIiIq+QNCcTs2XLxubNm/nxxx8pWLAguXLlsqi3srJiyZLkJ2jKi8FgMGpTV0kXxY6IiIiIiIiIpDmZeO3aNcqXL2/+/J+HQWfx4dAiIiIiIiIiIiLyjKQ5mbhs2bJnMQ4RERERERERERF5waU5mZjk7t277N+/nxs3blC/fn2ioqIoVqwYVlZWmTk+EREREREREREReUGkK5k4Z84c5s6dy8OHD7GyssLX15dp06YRFRXFokWLcHZ2zuxxioiIiIiIiIiISBazTusFX375JTNnzqRz5858/fXX5j0SO3XqxKVLl5gxY0amD1JERERERERERESyXpqTicuWLeO9997j/fff54033jCX16hRgwEDBrBjx45MHaCIiIiIiIiIiIi8GNKcTPzrr7+oXLlyinXFixfn1q1bGR6UiIiIiIiIiIiIvHjSnEzMly8fhw4dSrEuPDycfPnyZXhQIiIiIiIiIiIi8uJJ8wEsLVu2ZObMmWTPnp1atWoBcP/+fbZu3crcuXPp3LlzZo9RREREREREREREXgBpTiZ2796dy5cvM2XKFKZMmQJAx44dAWjSpAk9evTI3BGKiIiIiIiIiIjICyHNyUQrKys++eQTOnfuzJ49e7h79y5OTk5UrlyZ119//VmMUURERERERERERF4AaU4mJilWrBjFihXLzLGIiIiIiIiIiIjICyxVycRhw4alqdMJEyakazDy7NnYpPnMHXnFJcWMYkfS43HxYzSaMBpNWTEkERERERERyYBUJRN///13i89v3LhBQkIC+fPnJ3fu3ERFRXHp0iXs7e3x8vJ6JgOVjDOZTDg7O2T1MORfSrEjGfHP+DEYjERF3VdCUURERERE5F8mVcnEHTt2mP/8/fffM2XKFGbOnImvr6+5/M8//6RPnz40bNgw80cpmcLKyoopyw9w+fq9rB6KiLzCCno4MahdRaytrR6bTLx+/RqdOrVh/PgpVKhQyVx+8eJ5Zs6cxtGjh7GxsaVGjZr07fsBTk5OT7znTz9tZ/nyJVy4cIGcOXNSsaIfvXr1w909l7nNrVu3mDkzmP37fyc+PoHKlf15//1B5M6dx9zm55//y6xZ04mNjaFBg0b06TMAGxsbc/3MmcHcv/+AIUNGpPf1iIiIiIiIvNDSvGfitGnT+PDDDy0SiQAlS5bk/fffZ8KECXTq1CnTBiiZ6/L1e0RcuZvVwxAReaxr164ycGBfYmJiLMrv3bvH++/35rXXXmPUqE+4c+cOISFfcOPGdaZNm/3Y/nbs2Mbo0UN5553mdO/emzt3brNw4Vz69+/FwoXLyJYtGwkJCQwa1J8HD+7z4YfDSEhIIDR0Jh980JewsK+wtbUlMjKSTz8dRevWbfHyKsPkyeMoXLgozZq1AODq1b/YuPF7li1b9Uzfj4iIiIiISFZK8yZokZGRj50BYmtry/379zM8qMxiMBho3bo14eHhAFy5cgVPT89kH6tXr051n4GBgXh6erJ48eIU60ePHo2npyczZ87MlGcAOHbsGC1btiQhISHT+hQRedEYjUY2blxPly7tiYqKSla/bt0a7t2LZvLkGVSvXpOmTf+PMWM+Y9++3zly5PBj+12yZAEBAdX46KPhVK5chQYN3uaTTyZw/vxZfv11FwD//e82/vzzNBMmTCUwsC716jVg6tSZXLhwju3bfwAgPPwINjY2dO/eizffrEXduvXZv3+v+T7z5oXwzjvNLWYyioiIiIiIvGzSnEwsV64cs2bNIjIy0qL8xo0bzJw5E39//0wbXEYtXLiQIkWK4O3tDcCpU6fIli0bu3btYvfu3eaPJk2apKlfOzs7tmzZkqw8ISGBH374ASsrq0wZfxIfHx+KFy/O/PnzM7VfEZEXSUTEGaZOnUjDhm8zatTYZPW///4bvr7lcXNzM5f5+weQI4cje/b8kmKfRqORSpX8adr0/yzKCxUqAsCVK5cB2Lt3D4ULF6F48RLmNsWKFadIkWL89lti31ZWVtjZ2Zu/x9vZ2WE0GgE4ffoke/f+Rvv2/0nn04uIiIiIiPw7pHmZ85AhQ+jQoQOBgYGUL5/4j7rbt29z6NAhXFxcmDNnzrMYZ5rdu3ePuXPnsnz5cnPZ6dOnKVasGHnyZGzWSEBAALt27eLq1avky5fPXL5nzx5y5MiBg0PmH1TRpUsX2rZtS9u2bXFxccn0/kVEspqHR15WrvyWPHk8OHhwf7L6CxfOU6fOWxZl1tbW5MuXn0uXLqTYp7W1Nf36fZCs/OefE/cCLl68JADnz5+jUKHCydoVLFiQS5cuAuDpWZrY2Bh27foJL68y/PrrLpo0aQZASMgXtGvX6al7N4qIiIiIiPzbpXlmopeXFxs2bKBNmzbExsYSHh7Ow4cP6dKlC+vXr6dgwYLPYpxptmrVKjw8PCxOlz516hQlS5bMcN++vr7kz58/2ezETZs20bBhw2QzE7/55huaNWuGr68v5cqVo0OHDhw/ftxcHxgYyLx58+jXrx/ly5fH39+f8ePHWyxr9vLywsPDg1WrtBeXiLycnJ1dyJPH47H1MTH3yJHDMVl5jhw5iI2NTfV9Ll26SEjIDEqV8qJKlarmvh0dc6bQt6O579y58/Dhh0P49NMxtGzZhJIlX6d589b8/vtvXLx4gRYt3mXjxvV06tSGvn3f4/Tpk6kek4iIiIiIyL9FmpOJAB4eHgwZMoRVq1axdetWVq5cyfvvv4+rq2smDy/9tm3bRu3atS3KTp8+ze3bt2nbti1Vq1YlKCiIXbt2pav/hg0bWiQT4+Li2LZtG2+//bZFux9//JExY8bwn//8h82bN7NkyRIePnzIiBGWJ33OnDkTPz8/vv32W/r168fSpUvZsGGDRZtatWpZnKwtIvIqMZlMj9lGwoSVVep+nJ0/f47+/XtiZ2fPZ59Nwtra+m99p3xPa+v/VTRu3IwtW/7LDz/sZOzYCdjZ2REaOpMuXd7j4sULTJ/+OR98MJg336zN0KEfEhcXl55HFREREREReWGleZkzJC4h3rNnD/fv38dkMiWrb9asWUbHlSFGo5Hw8HCCgoLMZXFxcZw/fx4HBwcGDx5Mjhw5WL9+Pd27d2fx4sUEBASk6R4NGzZk4cKF5qXOv/zyC25ubpQpU8ainaurK5999pn5nRQoUIBWrVoxZswYi3Y1atSgY8eOABQtWpQ1a9Zw8OBBi3fp6enJ0qVLMRqN5n8Ai4j8W9nYPP77WFKdjY01traJf86ZMycPHtw3f57kwYMH5Mnjkaz8nw4c2MfQoYPIkcORL74IoXDhQuY6Jycn7t9P3vfDhw/ImdPpH+XW2Nsn/vjcvHkD8fHxNGnSlIUL51GuXAUqVapEhQoVmD8/hJMnj1OhQsWnvgtJ7u8xIJIWih3JCMWPpJdiR9JLsSMZkVXxk+Zk4s8//8yAAQN48OBBivVWVlZZnkyMiooiPj4ed3d3c5m9vT379u3D1tYWe3t7ALy9vYmIiGDhwoVpTiZ6e3tTqFAhtmzZQufOndm0aRONGzdO1s7Pzw93d3dCQkK4cOEC586d448//jBv2p+kRIkSFp87OTkRHx9vUebu7k5CQgJRUVEWzyYi8m/k7Pz4/WWdnLKb/+vmlri0uXjx4ly//pf5c0j85dHVq3/RsGEDi/J/+v777xk2bBhFixZlwYIF5M2b16K+ZMkS/PHHH8n6uHr1Cr6+vin2HRcXx4IFcxk+fDivveZMbGw0r73mbm7r5OTEo0cxTxyXPN2T4kTkSRQ7khGKH0kvxY6kl2JHMuJ5x0+ak4nBwcEUL16cYcOG4eHh8ULPkPtnwi5HjhzJ2pQqVYrdu3enq/+kpc5t27Zl+/btrF69OlmbjRs3MnjwYBo3boyvry8tW7bk9OnTfPLJJxbtkhKcf/fPWZ9Jz/Miv3MRkdSKjn6AwWBMse7evYfm/0ZGJu5ZWLFiZb78cglnz142n+j866+/EBsbi69vBXO7f/r1190MGTIEX99yfP55MNmyOSVrW768Hxs2bODgwWMUK1YcgHPnzhIREUHHjl1S7Hv58qW4u+eiYsUAIiNjcXR0JiLiHJGRscTHxxMVFYW9fY7HjkuezMbGGmdnhyfGiUhKFDuSEYofSS/FjqSXYkcyIqPx4+zskK5ZjWlOJp49e5aQkBAqVaqU5ps9L+7u7tjb2xMZGWkuO3nyJEFBQcyfP99i7OHh4ek+lKVhw4bMmzePNWvWUKhQoWSzCwFCQ0Np2bIlY8eONZdt374deNL+Xym7c+cO9vb2L9TelCIi6WUwGElISPkHXtIPwr+3eeedlqxevZJ+/XrRuXN3oqPvEhLyBVWqVKV0aR9zu/DwY7i5uVGgQEEePXrEuHGf4OCQg44dO/Pnn2ct7pMnTx7y5PGgVq26hIUtZMCAvvTs2ReA0NBZFC9ekjffDEw2znv37hEWtoiJE6ea66pUqcaSJYv4/vv1nD0bQc6cTnh5vfHYZ5TUeVKciDyJYkcyQvEj6aXYkfRS7EhGPO/4SXMyMX/+/MTExDyLsWQqX19fwsPDzUuuS5Uqxeuvv87YsWMZM2YMbm5ufP311xw+fJg1a9YAYDAYuHPnDk5OTmTPnv2p9yhdujRFihQhODiYHj16pNgmX758HDx4kOPHj+Pk5MSOHTv48ssvgcQlctmyZUv1M504cYKyZcumur2IyMvE1dWVL74IZcaMYD75ZCQ5cjhSu3Yd+vYdYNGuZ8/ONGzYmBEjPiY8/Ci3b98C4IMP+ibrs3Pn7nTt2gN7e3umTZvNjBlTmTx5PLa2tlSu7E+/fh9ia5v8R+WyZYvw8fGlbNny5rIyZbzp0aMvs2fPwNnZmU8+mUC2bE//WSIiIiIiIvJvkuZkYo8ePZg9ezY+Pj4ULFjwWYwpU9StW5e1a9eaP7e2tiY0NJQpU6YwYMAAoqOjKVOmDIsXL8bT0xOAq1evUqdOHSZMmEDz5s1TdZ+GDRsyZ84cGjVqlGL9qFGjGD16NO3bt8fe3h4vLy8mT57MBx98wJEjR6hcuXKqn2nPnj20aNEi1e1FRP6tKlSoxO7d+5OVFy9ekhkzQp547d+vq1jRL8V+UuLhkZfx4z9PVdvevd9Psbxt2w60bdshVX2IiIiIiIj8G1mZUjqO+Qk6d+5MeHg4MTExuLu7J5vBZ2VlxbZt2zJ1kOlx9+5dAgMDCQsLw8fHJ9XXLViwgPz58z82OZhVjh49SufOndmxYwcuLi7p7mdA8E9EXLmbiSMTEUmbEgVcmD6wFpGRsVrKIY9la2uNm5uj4kTSTLEjGaH4kfRS7Eh6KXYkIzIaP+7ujs9nz8S8efMmOwXzReTi4kLXrl0JCwtj6tSpqbomJiaGTZs2sXDhwmc8urQLCwujS5cuGUokioiIiIiIiIiIZESak4kTJkx4FuN4Jrp3705QUBBHjx7F19f3qe1z5szJypUrUzxZOSsdPXqU8+fPM2nSpAz3VdDDKRNGJCKSfvo+JCIiIiIi8u+V5mXOSSIiIvjll1+4ceMGHTp04NKlS3h5eZEzZ87MHqNkkrSeHi0i8qwYDEaiou5jNKbrR5C8ArTkR9JLsSMZofiR9FLsSHopdiQj/jXLnA0GA2PGjOGbb74xJ6caNmzI7NmzuXTpEl9++eW/Yhn0q8jKyoro6AcYDPoGJalnY2ONs7ODYkfS5XHxYzSalEgUERERERH5F0pzMnHOnDl8//33fPbZZ9SqVYtq1aoBMGTIEHr37s20adMyZTmuPBsGg1G/7ZB0UexIRih+REREREREXg5pnsv4zTff0L9/f1q0aIGrq6u53MvLi/79+/PLL79k5vhERERERERERETkBZHmZOKtW7coXbp0inUeHh5ER0dneFAiIiIiIiIiIiLy4klzMrFIkSL8/PPPKdbt3buXIkWKZHhQIiIiIiIiIiIi8uJJ856JnTp1YvTo0cTHx1O7dm2srKy4cOECv//+O4sWLWLo0KHPYpwiIiIiIiIiIiKSxdKcTGzVqhV37twhNDSUFStWYDKZGDhwIHZ2dnTr1o2goKBnMU4RERERERERERHJYmlOJgL06NGDdu3acfDgQe7evYuzszNly5a1OJBFREREREREREREXi7pSiYC5MyZkzfffDMzxyIiIiIiIiIiIiIvsFQnE+Pi4ggLC8PR0ZF27dphMBjw9va2aNO0aVMmTZqU6YMUERERERERERGRrJeqZOKDBw9o3749J0+epFOnTuZyk8lE69atyZMnDxEREaxfv57OnTvj5eX1zAYsIiIiIiIiIiIiWSNVycRly5Zx7tw5VqxYga+vr0Xdu+++yxtvvIHRaOSPP/7g66+/ZvTo0c9ksCIiIiIiIiIiIpJ1rFPTaMuWLXTo0CFZItHKyup/HVlb06JFC3777bfMHaGIiIiIiIiIiIi8EFKVTDx37hxVqlRJVm4ymSw+9/b25urVq5kzMhEREREREREREXmhpGqZs5WVFdbWlnlHGxsbjh8/jo2NjbnMaDRib2+fuSOUTGVjk6r8saSB0WjCaDQ9vaGIiIiIiIiIyL9cqpKJBQoU4NSpU/j7+1uU/z2RCBAeHk7BggUzb3SSqUwmE87ODlk9jJeOwWAkKuq+EooiIiIiIiIi8tJLVTKxZs2aLF++nHfffZds2bKl2CYmJoZVq1bRqlWrTB2gZB4rKyumLD/A5ev3snooL42CHk4MalcRa2srczLRZDKxfv23rF37NX/9dQVXV3eqV3+Tbt164OiYM8V+4uLiWLRoHj/8sJmoqCiKFClCUFAH6tVraNFu06bvWbFiGVeuXCZXrtdo0OBtOnXqiq3t//4qz58/h+++W0u2bNno2rUHjRo1MdeZTCa6devIu++2o169Bs/gjYiIiIiIiIjIyyxVycQOHTqwevVqOnbsyPjx4ylRooRF/eXLlxk6dCjx8fEEBQU9k4FK5rh8/R4RV+5m9TBeal99tZR580IICupAxYp+XLlyiQULQjl7NoLp02dbHFyUZMyY4fz66y7zNWfOnOLzz8cTFRVF69aJf6e+/noFX3wxlVq16tC79/vcvRvFwoXz+PPPM0yYMAWAX3/dzYoVyxg6dBTR0XeZNOkzvLzKULx44t/Zbdu2YjAYeOut+s/vhYiIiIiIiIjISyNVG+h5eHjwxRdfcPnyZRo3bkyzZs0YMGAAAwYMoFWrVtSrV49z584xY8YMXF1d0zwIg8FA69atCQ8PT1Z37tw5ypcvz9q1a1PdX58+fWjdunWy8qCgIDw9Pdm7d69F+ZYtW/D09OTatWtpHvvzsnjxYsaNG5fVw5CnMBqNLFsWRtOmzenZsy9+fv40a9aSgQOHcuDAXk6d+iPZNadPn2TXrp/o2rWH+Zq2bTvSq1d/5s8P4d69exgMBhYvno+fnz+ffTaJgIBqNGjwNpMnT2PXrp/Yt28PAPv3/06lSv7Uq9eQli3bULRocQ4dOgBAfHw88+bNoWfPvikmNEVEREREREREnibVp3H4+/vz/fff06dPH6ytrdm9ezc7d+7k4cOHvPfee3z33XdUqFAhXYNYuHAhRYoUwdvb26I8Pj6eQYMGcf/+/TT1V7VqVU6cOMHDhw/NZffu3ePo0aPky5ePnTt3WrTfv38/xYsXJ2/evOka//PQvn17du7cyf79+7N6KPIEsbGx1K/fMNnMv0KFCgNw5crlZNecP38egGrV3rQoL1euAg8ePODgwf1ERt7h3r1oqlWrYdGmWLHiuLq68ssvu4HEpex/34rAzs4Oo9EIwLffriZv3rxUqVI1Yw8pIiIiIiIiIq+sNB3t6+7uTt++fVm7di379+/n4MGDfP/99wwYMIDXXnstXQO4d+8ec+fOpWvXrsnqZs6ciaOjY5r7DAgIID4+nmPHjpnLfv31V5ydnWnVqhW7du2yaL9v3z6qVauW9sE/R3Z2drRr146pU6dm9VDkCZycnPjgg8H4+pazKN+5878AFCtWItk1bm6uAFy9+pdF+V9/Xf7/5VfImdMJGxsbrl69atEmOjqae/fucfXqFQDeeMOXQ4cOcPHiBY4fD+fs2T/x8SlLbGwMS5cuolevfpnxmCIiIiIiIiLyikpTMvFZWLVqFR4eHnh5eVmU79u3j1WrVjFp0qQ095k0y/DgwYPmsl27dlG1alVq1KjByZMnuXHjBpCYjDl9+jTVq1cH4OHDh0yfPp06derg4+NDs2bN2LZtm7mftWvX8tZbb7Fp0yYCAwPx9fWla9euXL9+nXHjxuHn50fVqlWZO3eu+Zq4uDimTp1K3bp18fb2xt/fn4EDBxIZGQkk7jnp6enJ5s2badWqFT4+PtSpU4c1a9ZYPFeDBg04fPgwhw8fTvM7kaxz7NgRli9fQo0atcx7F/5duXIVyZ+/ADNmTGH//r3ExsZw5Mgh5syZibW1NQ8fPiR79uzUqVOPtWu/ZsOG74iOjubixfN8/PEIbGxszbNwa9euQ82atenQoTX9+/egW7eeeHmVZtmyMMqVq4CnZ2lmzpxG27YtGDNmGFFRUc/5bYiIiIiIiIjIv1mWJxO3bdtG7dq1Lcqio6MZPHgwI0eOJF++fOnqNyAggEOHDpk/3717NzVq1MDb2xtXV1fz7MQDBw5gY2ND5cqVARg4cCDr1q1jxIgRrF+/nrp169K3b1+2b99u7uvq1ausWLGCkJAQFi9ezLFjx2jatCm2trZ8/fXXtGnThuDgYE6fPg3A5MmT2bBhA+PGjWPr1q1MmjSJX375hTlz5liMeeLEifTs2ZN169YREBDAqFGjuHTpkrk+T548lClThh07dqTrncjzd+TIIT766H3y5y/IsGGjUmxjZ2dHcPAs8uTxYMCA3tSvX4vRo4fRrVtPALJnzw7AoEHDqFevIZMmfUajRoF06dIeb28fSpcuY25jZWXFRx8N58cfd/HDDztp27YjN2/eYO3a1bz3Xm/Wrl3Nvn17+OyzyVhb2zBlyoTn8yJERERERERE5KWQqtOcnxWj0Uh4eHiyE6A//vhjypUrR5MmTdLdd0BAAOPHj8dkMhEREcG1a9eoVq0a1tbWBAQEsGvXLlq0aMG+ffsoX748OXLkICIigu3btxMaGmpOcPbt25dTp04RGhpKnTp1gMS9HEeNGkWpUqXM9zp8+DCDBw/GysqKHj16MHv2bM6cOUOpUqXw8fGhXr165oRlgQIFqF69OqdOnbIYc+fOnc33GDJkCKtXr+bIkSMUKlTI3MbT05MjR46k+73Is2Fjkzwv/+OPW/n00zEULlyEGTNm4+7u9tjrixYtwty5C7lz5w5370ZRqFBhbty4jtFoxNXVFVtba5ydczJq1Md8+OFgrl27Sr58+XFwcKBZs/UUKOCHre3/xmBrm93850WL5lKvXn2KFy/O5MnjaNjwbUqVep02bdry3nudsbIyYWNj89RnS+kZRZ5G8SPppdiR9FLsSEYofiS9FDuSXoodyYisip8sTSZGRUURHx+Pu7u7uWzdunXs37+f77//PkN9BwQEEBUVxdmzZ9m9ezdeXl7kzp0bgOrVqxMcHAwkHr4SGBgIYE7uVaxY0aKvSpUqJdursFixYuY/Ozg4ULBgQfMJuUkHYDx69AiAd955h99++43g4GDOnz9PREQEZ8+epVKlShZ9lijxvyWwTk5OQGLi8u/c3d2VTHwBOTs7WHy+YMECpkyZgp+fHyEhIeavZ0oePnzI1q1bqVChAiVKFAISk8cHDvwGgJ9fedzcHPnvf/+Ls7MzFStWpECBxFi+ffs2169fp3x5X9zcku8veubMGbZv/5EtW7bg5ubI3btR5MuXBzc3RwoW9MBgMABxuLk9fc/Tfz6jSFoofiS9FDuSXoodyQjFj6SXYkfSS7EjGfG84ydLk4lJkk6bBfjmm2+4ffs2tWrVsmgzZswYFi5cyMaNG1PVZ548eShZsiSHDh1i9+7d5j0RITGZOGLECMLDwzlx4gSjRqW8/PTv47O1tXxVdnZ2Fp9bWz8+C/zxxx+zadMmmjVrRq1atejVqxcLFy7k+vXrFu3s7e2TXWsymSw+NxgMT7yXZI3/x959x9d4//8ff5xMK4lESaxSKzESe4QoEtrGKLVni1i1PqjSUlTVqBI7iBWrti5Ua3xbtNoKilArVlurJRGiSM45vz/8nPY0wclJCPG8325uct7X+3pfr+vy6uX05Xq/r4SEvzEa7701eS0ff/wxISENeP/9D0lOdiAuLvG++xqNRj744AOaN29F7979LG1RUYspVKgwefMWJC4ukaVLl3Ht2jXmz19s2Xfu3Hk4ODhSqVL1VI8xfvwEWrVqg4tLLuLiEvHwyM25c+eJi0vk1KlzODo6YjY7PzA+R0cH3N2zW52jiK2UP2Iv5Y7YS7kj6aH8EXspd8Reyh1Jj/Tmj7t7drueaszUYqKXlxcuLi6WF5EATJo0yfIyiXteeukl+vfvT8OGDdM0/r11E/fu3Uu3bt0s7T4+PpQoUYKVK1eSM2dOypYtC2CZtrx3716rdRyjo6MpUaJEms8PIC4ujhUrVjBlyhSr+E+dOkWOHDnsGi9fvnx2xSKPjtFoIjnZxJUrfzF16mR8fPLTvHkbDh8+YtWvYMFCuLg4c/r0aQoWLISnpydg4LXXWrFq1SfkyfMcRYq8wLp1qzl48ADjx0/GZLpb0G7Roi2DBvVl8uSPCQp6kb1797BkySI6duyMt3cBkpOtbxz79+/l0KFDvPfeGMu2GjVq8emnaylRohRr166kRo2agEOKfR90jiL2UP6IvZQ7Yi/ljqSH8kfspdwReyl3JD0ed/5kaDHxwIEDtG3blueff56SJUsyefJky5Tf+wkICCAmJoZmzZoB4O3tnWq/PHnyULBgQeDuU1tXr17Fzc3N8uKJ1AQGBjJ48GAAKlWqZLUtKCiI1atXU7duXcuTfiVKlKBOnTqMHj0agKJFi7Jx40a2bdvG1KlTH3r+qXFzc8PNzY1t27ZRtmxZbt26xbJlyzh8+DDly5dP83iHDx+mQYMGdsUij97u3d9z+/ZtLl68QJ8+3VJsHzZsFD4++enfvxfDho2iYcO764KGhfXEYDCwfPkSrl9PoESJUnz88TSqVath2bdatRqMGvUhixcv5Isv1uPjk58BAwbTsmXbVGOJiJhOx46draZYt2rVjtOnTzF69HB8fUvz7rsjM/gKiIiIiIiIiEhWlqHFRC8vL5o1a8b48eNZs2YNFy5coGjRog/cp379+qxfvz5Nx7lw4QIhISGMHz+e5s2b37df9erVuXPnDrVr104xhTgoKIioqChq1apl1T5lyhTCw8N57733SEhIoGTJksyYMcPuAp6TkxPTpk1jwoQJNGnSBA8PD6pXr86gQYOYM2cON2/etHmsK1eucOLECSZMmGBXLPLoNW7clMaNmz60365d0VafnZyc6NGjNz169H7gfg0avEKDBq/YFMu8eYtTtLm6ujJixAc27S8iIiIiIiIi8l8G838X5XvMrl27RnBwMFFRUfj7+9u83/z58ylQoECapz4/zebNm8e3337L8uXL7R5jQPi3xP5xLQOjerYVL+jB1EF1iYtLzLKPpDs5OeDpmTNLn6M8OsofsZdyR+yl3JH0UP6IvZQ7Yi/ljqRHevPHyyunXWsmpnmP8+fP33dbcnIyM2fOTNN4Hh4ehIWFERUVZfM+N27cYNOmTQQGBqbpWE+zO3fusHLlSgYMGJDZoYiIiIiIiIiIyDMqzdOcO3XqxNKlSylQoIBV+4EDB3jvvfc4efIkffv2TdOY3bt3p127dhw8eJCAgICH9s+VKxcrV65M9e3HWdWSJUuoU6cOVatWTdc4hbzdHt5JbKbrKSIiIiIiIiLPkjQXE3PlykWnTp1YsmQJBQsW5O+//yY8PJxPPvkEHx8f5syZk+YgnJ2dWbt2bZr2eZYKiYDV26jtZTabGdyhcgZEI/9mNJowmTJ1tQARERERERERkccizcXEZcuW0a1bNzp27Ei/fv2YOXMmly9fJiwsjD59+jz07c2SeQwGAwkJf2M0ah2GjGQymVVMFBEREREREZFnQpqLiW5ubixatIhevXoxfPhwypUrx7x58yhevPijiE8ymNFo0qKuIiIiIiIiIiJiF5uKiam9dOX9999nyJAhXLx4kcTERKs+/11PUURERERERERERJ5+NhUTg4ODMRgMKdrN5rtTO9u0aWPV/uuvv2ZAaCIiIiIiIiIiIvIksamYOG7cuFSLiSIiIiIiIiIiIvLssKmY2Lx580cdh4iIiIiIiIiIiDzhHOzZac+ePezbtw+A33//nR49etCkSRNmzZqVocGJiIiIiIiIiIjIkyPNxcTPP/+c119/na1btwJ3X8SyZ88eihQpwpw5c4iMjMzwIEVERERERERERCTzpbmYuGjRIl577TWGDBnClStX+OGHH+jbty8zZ85k4MCBrFu37lHEKSIiIiIiIiIiIpkszcXEU6dO0bRpUwB27NiB2WwmJCQEAH9/fy5cuJCxEYqIiIiIiIiIiMgTIc3FRHd3dxITEwH47rvvKFCgAEWLFgXg3LlzeHp6ZmiAIiIiIiIiIiIi8mSw6W3O/1ajRg1mzpzJiRMn2LJlC127dgXg66+/Ztq0aQQFBWV4kCIiIiIiIiIiIpL50vxk4vDhw/H09GTWrFnUrFmTnj17AjB+/HgKFCjAW2+9leFBioiIiIiIiIiISOZL85OJnp6eLFiwIEX7J598QoECBTIkKBEREREREREREXny2FRMPH/+PHnz5sXZ2Znz588/sB+gouITzNExzQ+jShZnMpkxmcyZHYaIiIiIiIiIPAVsKiaGhISwatUqAgICCA4OxmAwPLD/r7/+miHBScYym824u2fP7DDkCWM0moiPv6mCooiIiIiIiIg8lE3FxHHjxlG4cGHg7tqI8nQyGAxMWr6X3y9dz+xQ5AlRyNuNwR0q4+BguG8xcejQtzh58jjr1n35wLF++GEXixZFEhsbi4eHB3XqBNOzZx+yZ/+ngL1jx7dERc3nt9/O4uWVh5dfbkinTl1wdna29Jk3bzaff74eV1dXwsJ60rBhE8s2s9lMt26v06ZNB1566ZV0nr2IiIiIiIiIpJVNxcTXXnvN8vOlS5cICQmhZMmSjywoeXR+v3Sd2D+uZXYY8pT4+utNfPfd/1GwYMEH9tu1awfDhg3mlVca0atXP86cOcXcuRHEx8fx/vtjAdiz50eGD3+b4OAGvPlmX2JjTxIZebfPoEFDgbsFyRUrlvLOOyNISLjGRx99iJ9fGYoVKw7A1q1fYzQaadDg5Ud74iIiIiIiIiKSqjQvoDd//nwuXLjwKGLJcEajkdatWxMTE5Ni2+nTp6lYsSLr169P05jBwcH4+vqyaNGiVLePHDkSX19fZsyYYVfMqTl06BAtW7YkOTk5w8YUeZi//vqTqVMnkS+f9wP7mc1mpk+fTJ06wQwbNorKlavSokUbunXrxZEjMdy6dQuAjRu/xNvbh5Ejx1C1ag3atu1Iq1bt+PLLzyy5HR39E1WqVOell0Jp2bItRYsWY//+vQAkJSURGTmbXr36PnSpBRERERERERF5NNJcTCxatCjHjx9/FLFkuAULFlCkSBHKlStn1Z6UlMTgwYO5efOmXeM6OzuzefPmFO3Jycl88803GV7o8Pf3p1ixYsybNy9DxxV5kAkTxlCtWnWqVKn2wH4nThzj/Pk/aNmyjVV769btWL36c7JlywZAUtIdsmXLjqOjo6WPh0dukpKSuHkzEbg7Fd/V1dWy3dnZGZPJBMCnn67Bx8eHGjVqZsj5iYiIiIiIiEja2TTN+d/q1q3L1KlT+fbbbylZsiR58uSx2m4wGOjTp0+GBWiv69evM3fuXJYvX55i24wZM8iZM6fdYwcGBrJz504uXLhA/vz5Le0//vgjOXLksFojLqN07dqV9u3b0759ezw8PDJ8fJF/+/LLzzh27ChLl64mImLaA/ueOHH3HxdcXV0ZMmQA0dF7cHFx4eWXQ+nd+3+W4mCLFm0YNKgvn3yyhCZNXuPs2TOsWbOCwMBauLvfzemyZQP4+uuPOHfuLNevX+fUqZP4+5cnMfEGS5YsZOLEqY/0vEVERERERETkwdJcTJw5cyYA0dHRREdHp9j+pBQTV61ahbe3N35+flbte/bsYdWqVXz22WfUrVvXrrEDAgKIjY1l8+bNdOnSxdK+adMmQkND+eqrr6z6r1u3jqVLl3Lq1CkcHBzw9/fnnXfeoWzZssDdqdNt27bl0KFD7Nq1CxcXF5o2bcqQIUNwcrr7R+Tn54e3tzerVq2iR48edsUtYouLFy8wY8YUhg0bSe7cuR/aPz4+DoBhw96mfv2Xadu2I7/+epgFCyKJi4vjgw/uvrSpYsXKtG//OhER04mImA5AqVK+jBo11jJWvXoh7N37M506tcbJyYlu3Xrh51eaOXNmUqFCJXx9SzNjxhR2795FyZKlGDhwqE0xioiIiIiIiEjGSPM056NHjz7w16+//voo4kyzrVu3Uq9ePau2hIQEhgwZwnvvvWf1RKE9QkNDraY637lzh61bt9KoUSOrflu2bGHUqFF07tyZr776isWLF3Pr1i2GDx9u1W/GjBlUrVqVTz/9lH79+rFkyRI2bNhg1adu3bps3749XXGLPIjZbGb8+A8IDKxJ3bohNu2TlJQEwIsv1qV37/5UqlSFDh3eoEuX7mzfvoVz584A8PHH4/jkkyW88UYY06fP4d13RxIfH89bb/WzrKtoMBh4++1hbNmyk2++2UH79q/z55+XWb9+DT169Gb9+jXs2fMjH344EQcHRyZN0tvlRURERERERB6nND+Z+DQwmUzExMTQrl07q/b333+fChUq0KRJk3QfIzQ0lAULFlimOn///fd4enpSpkwZq365c+fmww8/pFmzZgAULFiQVq1aMWrUKKt+tWvX5vXXXwfurku5du1a9u3bZ9kPwNfXlyVLlmAymXBwSHMdWOS+HB3v5tOaNSuJjT3B8uWrgbtrFRoMZgDMZhMODqTIPTe3XADUrv0iTk7/bKtVqxZz584kNvYEuXLl4ssvP+ONN7rSq9c/Ty6XK1eODh1a89VXX9CqVVtLu5NTNsvPCxfO5aWXXqZYsWJMnDiW0NBGlCpVkrZt29OjRxcMBrPVOozyZLmXW/d+F7GVckfspdyR9FD+iL2UO2Iv5Y6kR2blT5YsJsbHx5OUlISXl5el7bPPPiM6Opovv/wyQ45Rrlw5ChcubJnqvGnTJho3bpyiX9WqVfHy8iIiIoKzZ89y+vRpfv31V8tLJe4pXry41Wc3NzfLE1/3eHl5kZycTHx8vNW5iaSXu/vddT537vyW+Ph4GjV6KUWfwMAq9O3bl379+lm1ly5dCgAXFwc8Pf9ZizR79ru3lzx5PLh5Mx6z2UzNmtWt+lSpUp7cuXPzxx/nrNrvOXHiBNu2bWHz5s14eubk2rV48ufPh6dnTgoV8sZoNAJ38PR8Lp1XQB61ezkmklbKHbGXckfSQ/kj9lLuiL2UO5Iejzt/smQx8Z5/F+zWrVvHlStXUqyTOGrUKBYsWMDGjRvTPP69qc7t27dn27ZtrFmzJkWfjRs3MmTIEBo3bkxAQAAtW7bk+PHjfPDBB1b9XFxcUuxrNptTPR89lSgZLSHhb4xGE2+99U6Kt5wvWBDJsWO/MmnSVLy8niMuLtFqe4kSZciePTuffvo5FStWt7Rv2vQ1jo5OvPCCLwCOjo58//1uAgKqWPqcPXuG+Ph48uTJl2JcgPHjJ9CqVRtcXHIRF5eIh0duzp07T1xcIqdOncPR0RGz2TnVfeXJ4OjogLt7dkuOidhKuSP2Uu5Ieih/xF7KHbGXckfSI7354+6e3a6nGrNkMdHLywsXFxfi4uIsbZMmTbKsy3bPSy+9RP/+/WnYsKFdxwkNDSUyMpK1a9dSuHDhFE8XAsyZM4eWLVsyevRoS9u2bduAu8VCg8Fg8/GuXr2Ki4uLXjghGc5oNJGcbKJgwedTbHN398DFxQVf39IkJ5u4di2B06dPU7BgITw9PXFxyUZYWE9mzpxKzpxu1KlTj5iYgyxdGkWrVm1xc7v7puZWrdqxbNkSTCaoWrU6Fy9eYNGieXh7+9CoUTOSk61vfPv37+XQoUO8994Yy7YaNWrx6adrKVGiFGvXrqRGjZqAQ4p95clzL8dE0kq5I/ZS7kh6KH/EXsodsZdyR9LjcedPhhQTjUYjBoPhiXpiLiAggJiYGMuag97e3qn2y5MnDwULFgTunsfVq1dxc3MjW7Zsqfb/t9KlS1OkSBHCw8Pp2bNnqn3y58/Pvn37OHz4MG5ubmzfvp1ly5YBd1/a4urqavM5HTlyhPLly9vcX+RROHbsKP3792LYsFE0bHh3/dG2bTvi5ubOypXL2LDhM557Li9hYT3p0OENy359+vyPfPny8dln61i5chl58jxH1ao16NGjN+7u7imOExExnY4dO+Pm5mZpa9WqHadPn2L06OH4+pbm3XdHPvoTFhERERERERELu4qJs2fPJjo6mgULFgAQHR3NgAED6NmzJ507d87I+OxWv3591q9fn6Z9Lly4QEhICOPHj6d58+Y27RMaGsrs2bPv+3TjiBEjGDlyJB07dsTFxQU/Pz8mTpzIwIEDOXDgANWqVbM5vh9//JEWLVrY3F8kI4wcORpPz5yWqcSVKlVh167oFP0aNXqVRo1eve84BoOB1q3b07p1e5uOO2/e4hRtrq6ujBjxQSq9RURERERERORxSHMxcf78+cycOdPy5mGAIkWK0LRpUyZPnkz27Nlp06ZNhgZpj+bNmzNz5kwOHTqEv79/qn2OHTtm9blQoUK8/fbbD3wqcfv27VafBwwYwIABA+7bp3DhwixatCjFOP8uPv53TIClS5dafT548CAXLlywucgpIiIiIiIiIiKS0dI8L3n16tUMHDiQoUOHWtp8fHx455136NevH0uWLMnQAO3l4eFBWFgYUVFRNu9z48YNNm3aRGBg4KMLzE5RUVF07doVDw+PzA5FRERERERERESeUWl+MvHSpUuULVs21W3+/v7MmjUr3UFllO7du9OuXTsOHjxIQEDAQ/vnypWLlStXpvpm5cx08OBBzpw5w0cffZTusQp5uz28kzwzlA8iIiIiIiIikhZpLiYWLlyYH374IdWn93766Sd8fHwyJLCM4OzszNq1a9O0z5NWSIS7L5NJ6/qPqTGbzQzuUDkDIpKsxGg0YTKZMzsMEREREREREXkKpLmY2K5dO8aNG0dycjL169cnT548XL16la1bt7JkyRIGDx78KOKUDGAwGEhI+BujUa+bl3+YTGYVE0VERERERETEJmkuJnbo0IGLFy+yaNEiq/UIHR0deeONN56YtzlL6oxGE8nJKiaKiIiIiIiIiEjapbmYCPDWW2/Ro0cP9u/fz7Vr13B3dycgIABPT8+Mjk9ERERERERERESeEHYVEwHc3Nx48cUXMzIWEREREREREREReYLZVEwMCQlh1qxZ+Pn5ERwcjMFguG9fg8HA1q1bMyxAEREREREREREReTLYVEysVq0aOXPmtPz8oGKiiIiIiIiIiIiIZE02FRPHjx9v+XnChAkP7JucnJy+iEREREREREREROSJ5JDWHUJCQjh69Giq2w4ePEitWrXSHZSIiIiIiIiIiIg8eWx6MnHDhg2WJw7/+OMPvvnmm1QLirt37yYpKSljIxQREREREREREZEngk3FxJiYGKKiooC7L1iJiIi4b98uXbpkSGAiIiIiIiIiIiLyZLGpmDho0CA6deqE2Wymfv36zJw5k9KlS1v1cXR0JFeuXOTKleuRBCoiIiIiIiIiIiKZy6ZioouLCwULFgRg27Zt5M2bFxcXl0camIiIiIiIiIiIiDxZbCom/lvBggW5evUqCxYs4IcffuDPP/9k/vz5bN26FT8/P+rXr/8o4hQREREREREREZFMlua3Of/222+8+uqrrF69Gm9vb65cuYLRaOT06dP079+fb7/99hGEKSIiIiIiIiIiIpktzU8mfvTRR+TJk4elS5eSI0cOypUrB8DkyZO5ffs2c+bMoW7duhkdp2QQR8c014/lGXcvZ5Q7Yg/lj9hLufN0MJnMmEzmzA5DRERERB6jNBcTd+/ezbhx43B3d8doNFpta9OmDQMGDMio2CSDmc1m3N2zZ3YY8pRS7kh6KH/EXsqdJ5vRaCI+/qYKiiIiIiLPkDQXE+Hum5tTc+fOHQwGQ7oCkkfHYDAwaflefr90PbNDERERkadcIW83BneojIOD4b7FxEuXLvLGG20ZN24SlSpVsbQfOLCfuXNncfLkCXLlysWLL9ajR483yZEj5wOPefbsGSIiprF//z6cnJwoX74iffsOoGDBQpY+169fZ9q0j/n662/4+++bFCtWgh49elO5clVLn++++z9mzpxKYuINXnmlIX36DLD6fjtjRjg3b/7N0KHD7b08IiIiIllWmouJVapUITIykpo1a+Lq6grcLVKZTCZWrFhBpUqVMjxIyTi/X7pO7B/XMjsMERERyeIuXrzAoEF9uXHjhlX7qVMnGTiwD/7+Ffjgg/H8+edlIiKmc/78H0ycOOW+4126dJE33wzj+eeLMGrUh9y+fZt58yIYNKgvS5asxNU1G0ajkYED+3L58iX69v0fHh6erFmzgrff/h+RkYspUaIkcXFxjBkzgtat2+PnV4aJE8fy/PNFadasBQAXLpxn48YvWbp01SO9PiIiIiJPqzQvRPTWW28RGxvLSy+9xJAhQzAYDCxYsIDmzZuzd+9eBg4cmOYgjEYjrVu3JiYmBoArV67w9ttvU6NGDSpWrEiPHj04efKkzeP16dOH1q1bp2hv164dvr6+/Pzzz1btmzdvxtfXl4sXL6Y59sdl0aJFjB07NrPDEBEREXkgk8nExo1f0LVrR+Lj41Ns37Lla8DA+PGTqFGjJk2aNKNnz9788MNOLl68cN9xFyyYS44cOZg6NYJatWoTHFyfUaM+5NatWxw9+isA33zzFb/+eoR58+bRsGFjqlcPZOzYj8mXz4eff/4RgJiYAzg6OtK9+5u8+GJd6td/mejof74bRkZG0LRpc/LmzZeh10VEREQkq0hzMbFUqVKsW7eO6tWr89NPP+Ho6MgPP/zA888/z8qVKyldunSag1iwYAFFihSxvMzlzTff5LfffmPevHmsXbuWbNmy0blzZ/7++2+bxqtZsyZHjhzh1q1blrbr169z8OBB8ufPz44dO6z6R0dHU6xYMXx8fNIc++PSsWNHduzYQXR0dGaHIiIiInJfsbEnmDx5AqGhjRgxYnSK7Xfu3MHJyYls2bJZ2jw8cgNw7VrqsyfMZjM7dvwfjRs3tdrPz68Mn3++mfLlKwLw3XfbqVixEn5+fpY+rq6urFy5nvbtOwF3Z9Q4O7tYluZxdnbGZDIBcPz4UX7+eTcdO3a2/wKIiIiIZHF2vSKxaNGiTJ48mV27dhETE8Pu3buZPn06vr6+aR7r+vXrzJ07l7CwMADi4uIoVKgQY8aMwd/fn+LFi9O7d2/+/PNPTpw4YdOYgYGBJCUlcejQIUvbDz/8gLu7O61atWLnzp1W/ffs2UOtWrXSHPvj5OzsTIcOHZg8eXJmhyIiIiJyX97ePqxc+Sn9+g3C1TVbiu2NGzfFYIAZM6Zw7Vo8p07FsmjRPIoXL0GJEiVTHfPChfPcuHEDH5/8TJ78EQ0bhhAcXJMhQwZazSw5ceI4xYqVICoqitdea0ydOtXp2rUD+/fvtfTx9S1NYuINdu78lj//vMwPP+wkIKA8ABER0+nQ4Q3c3Nwy9JqIiIiIZCV2FRPNZjNHjhwhOjqaPXv2pPiVFqtWrcLb29vyL8ienp6Eh4dTsuTdL5N//fUXCxYswMfHhxIlStg05r2nDPft22dp27lzJzVr1qR27docPXqUy5cvA5CQkMDx48cJCgoC4NatW0ydOpWQkBD8/f1p1qwZW7dutYyzfv16GjRowKZNmwgODiYgIICwsDAuXbrE2LFjqVq1KjVr1mTu3LmWfe7cucPkyZOpX78+5cqVo3r16gwaNIi4uDgAfv/9d3x9ffnqq69o1aoV/v7+hISEsHbtWqvzeuWVV/jll1/45Zdf0nSNRURERB4Xd3cP8uXzvu/2F14oRq9e/Vi3bhWNGtXn9dfbcPPmTSZOnHrfl/zFx9/9zjR79gz++usy778/lqFD3+PkyeP079/TMnslPj6O7du3sGbNGvr1G8CECZPJnj0Hb73VjxMnjgGQN28+3nprKGPGjKJlyyaUKFGS5s1b89NPuzl37iwtWrRh48YveOONtvTt24Pjx49m8BUSERERebql+QUsBw8e5H//+5/lX4HN5rtv7zMYDJjNZgwGA7/++qvN423dupV69eqlum3EiBGsXr0aFxcXZs+eTY4cOWweNzAwkP3791s+79q1iwEDBlCuXDly587Nzp07adGiBXv37sXR0ZFq1aoBMGjQII4cOcLIkSN54YUX2LhxI3379mXWrFmEhIQAcOHCBVasWEFERASJiYm8+eabvPrqqzRv3pzVq1fz5ZdfEh4eTr169ShVqhQTJ05k27ZtTJgwgUKFCnHixAmGDh3K7NmzGTZsmCXGCRMmMHLkSIoWLcqiRYsYMWIE1atXp3DhwgDky5ePMmXKsH37dipUqGDztRARERF5Uixduoi5c2fRvHkr6tQJJj4+jqio+fzvf72JiJiHl1eeFPskJSUD4OXlxdixH+PgcPffwwsWLEyvXl34+utNNGvWguTkZK5fv8G6detwdXUjOdlE+fIVad26GcuWLWb06HEANG7cjIYNXyUpKQlXV1fMZjNz5syga9cenDt3lqlTP+bjj6dx/Pgx3nnnLVau/BQXF5fHd5FEREREnmBpLiaOGzcOJycnxo8fj4+Pj+XLnD1MJhMxMTG0a9cu1e1vvPEGbdq0YcWKFfTp04dPPvmEsmXL2jR2YGAg48aNw2w2Exsby8WLF6lVqxYODg4EBgZaiol79uyhYsWK5MiRg9jYWLZt28acOXMsBc6+ffty7Ngx5syZYykmJiUlMWLECEqVKmU51i+//GJ5IU3Pnj2ZNWsWJ06coFSpUvj7+/PSSy9ZCpYFCxYkKCiIY8eOWcXcpUsXyzGGDh3KmjVrOHDggKWYCODr68uBAwfScJVFREREHh1Hx/t/F7y3zdHRAScnB5KTk1m8eAEvvxzKkCHvWvpVqVKVli1fZeXKZfTvn/Jlfu7uuQCoWbMWLi7/fH2tUKE8bm5uxMaewMnJgRw5clC06Av4+PiQkPD3/9/XjYCA8pw8eRwnp3/H6mAZ66uvNpCUlESTJq+yYEEkFSpUokqVKlSqVIl58yI4evQwlSpVtvsaydPj3zkrkhbKHbGXckfSI7PyJ83FxCNHjhAeHk79+vXTffD4+HiSkpLw8vJKdfu9ac1jxozhl19+YdmyZYwfP96msQMDA4mPj+fUqVPs2rULPz8/8ubNC0BQUBDh4eHA3ZevBAcHA1iKe5UrW39ZrFKlSoq1Cl944QXLz9mzZ6dQoUKWhbxdXV0BuH37NgBNmzZl9+7dhIeHc+bMGWJjYzl16hRVqlSxGrN48eKWn++t1ZOUlGTVx8vLS8VEEREReWK4u2e/7zY3t2yW3z09c3L58mVu3bpFjRrV8PTMaenn6ZmTYsWK8dtvZ6za7ylbthQODg44OJBiu9FoxMMjF56eOSlatCgmkzFFXAaDmZw5c6Q69p07d5g/fy7Dhg3juefcSUxM4LnnvCx93dzcuH37Rqr7Stb1oLwWeRDljthLuSPp8bjzJ83FxDx58qTracTU3HuDHsCVK1fYvXs3oaGhlnVzHBwcKF68uGWdQ1vky5ePEiVKsH//fnbt2mVZExHuFhOHDx9OTEwMR44cYcSIEQ+Nz8nJ+lI5OztbfX7QNXn//ffZtGkTzZo1o27durz55pssWLCAS5cuWfVLbfrMvWnk9xiNxgy//iIiIiL2Skj4G6PRlOq269dvWX6Pi0vEwSEb7u4e7N79E6GhTS394uPjOH36DL6+ZYiLS0x1rPLlK7J589d06dLT8p1pz56fuHnzJn5+5YiLS6RatUAWLZpPbGwsefMWwGg0ce1aPHv37qVhwyapjr18+RK8vPJQuXIgcXGJ5MzpTmzsaeLiEklKSiI+Ph4Xlxz3jUuyFkdHB9zdsz8wr0VSo9wReyl3JD3Smz/u7tnteqoxzcXE9u3bExkZSY0aNdK0hmFqvLy8cHFxsbyIBODy5cu89dZb5MmTh8DAQODu03lHjhyxPEFoq3vrJu7du5du3bpZ2u+9zGXlypXkzJnTMnX63rTlvXv3Wq3jGB0dbfPLX/4rLi6OFStWMGXKFBo2bGhpP3XqlF3XLy4ujnz58tkVi4iIiEhGMxpNJCen/uX13pfaf/oYCAvrwZQpH5M9ew7q1avPtWvxLF0ahYODA23adLCMFRNzCE9PTwoWLARAz5596NevJwMH9qNt247ExV1l9uwZlClTjsDA2iQnm2jRoi0bN35Bjx496NGjNy4u2Vi8eD5goG3bjinivH79OlFRC5kwYbJlW40atVi8eCFffvkFp07FkiuXG35+Ze97jpI1PSivRR5EuSP2Uu5Iejzu/ElzMfHs2bPExsZSq1YtSpYsSbZs2ay2GwwGFi9ebPN4AQEBxMTE0KxZMwD8/PwICgpi9OjRfPjhh7i7uzNnzhwSEhLo3LkzcPfpvKtXr+Lm5pbi+P8WGBjI4MGDAahUqZLVtqCgIFavXk3dunUtT/qVKFGCOnXqMHr0aACKFi3Kxo0b2bZtG1OnTrX5nP7Nzc0NNzc3tm3bRtmyZbl16xbLli3j8OHDlC9fPs3jHT58mAYNGtgVi4iIiEhma9GiDblyubFy5TI2bfoSD4/clC9fgfHjJ5E/fwFLv169uhAa2pjhw98HoFy5AKZPn0NkZATvvTeEbNmyUbt2Xfr0GWCZzeLu7k5k5CIiI2cxadIEkpKS8PevQETEqFTfML106UL8/QMoX76ipa1MmXL07NmXWbOm4e7uzgcfjMfV9f7fN0VERESeNXYVE/38/Cyf/zsN97+fH6Z+/fqsX7/e8tlgMDB16lQmT57MgAEDuH79OlWqVGH58uUUKHD3C+aFCxcICQlh/PjxNG/e/L5jV69enTt37lC7du0UU4iDgoKIioqiVq1aVu1TpkwhPDyc9957j4SEBEqWLMmMGTPsLuA5OTkxbdo0JkyYQJMmTfDw8KB69eoMGjSIOXPmcPPmTZvHunLlCidOnGDChAl2xSIiIiLyOFWqVIVdu6JTtL/8ckNefrlhKnv8I7X9/P3LM2PG3Afuly+fN5MnTyYuLvGh/0Lfu/f/Um1v374T7dt3euC+IiIiIs8qgzmt1b8Mdu3aNYKDg4mKisLf39/m/ebPn0+BAgWspg5ndfPmzePbb79l+fLldo8xIPxbYv+4loFRiYiIyLOoeEEPpg6qa1PR7nFycnLA0zPnExeXPB2UP2Iv5Y7YS7kj6ZHe/PHyymnXmol2v8nj2rVrbNu2jRUrVnD16lVOnTqV5qcSATw8PAgLCyMqKsrmfW7cuMGmTZssayo+C+7cucPKlSsZMGBAZociIiIiIiIiIiLPqDRPcwaYPXs2c+fO5datWxgMBgICApgyZQrx8fEsXLgQd3f3NI3XvXt32rVrx8GDBwkICHho/1y5crFy5cpU336cVS1ZsoQ6depQtWrVdI1TyNstgyISERGRZ5m+U4iIiIg8m9I8zXnZsmWMGzeOnj17Uq9ePVq3bs26deu4evUqgwcPpnHjxowYMeJRxSvpYDabMRgMmR2GiIiIZBFGo4n4+JuYTJm6ao4VTReT9FD+iL2UO2Iv5Y6kR2ZNc07zk4lLly6lR48e/O9//8NoNFraa9euzYABA4iMjFQx8QllMBhISPgbo1E3KLGdo6MD7u7ZlTtiF+WP2Eu583QwmcxPVCFRRERERB69NBcTz58/T7Vq1VLdVqxYMf766690ByWPjtFo0r92iF2UO5Ieyh+xl3JHREREROTJkuZnGfPnz8/+/ftT3RYTE0P+/PnTHZSIiIiIiIiIiIg8edL8ZGLLli2ZMWMG2bJlo27dugDcvHmTr7/+mrlz59KlS5eMjlFERERERERERESeAGkuJnbv3p3ff/+dSZMmMWnSJABef/11AJo0aULPnj0zNkIRERERERERERF5IqS5mGgwGPjggw/o2rUru3fv5tq1a7i5uVGtWjVKliz5KGIUERERERERERGRJ0Cai4n3FC1alKJFi2ZgKCIiIiIiIiIiIvIkS1MxcdOmTRgMBkJDQzGZTDRo0MBqe5MmTRgwYEBGxiciIiIiIiIiIiJPCJve5pycnEyvXr1466232LFjBwBms5k//viDkiVLUq1aNXx8fJg/fz7nzp17pAGLiIiIiIiIiIhI5rDpycRVq1bx/fffM23aNF566SWrbf369aNs2bLcunWLl19+mZUrVzJkyJBHEqyIiIiIiIiIiIhkHpueTPzyyy9p06ZNikLiv2XLlo0WLVrw/fffZ1hwIiIiIiIiIiIi8uSwqZh48uRJXnzxxYf2q1SpkqY5i4iIiIiIiIiIZFE2TXNOTk4me/bsVm2Ojo588803+Pj4WLU5ONhUnxQREREREREREZGnjE2VP29vb06fPp2i/fnnn8fFxcXy+fjx4xQoUCDjohMREREREREREZEnhk1PJgYFBbFy5Upatmx53ycPk5KSWL16NSEhIRkaoGQsR0c9OSppcy9nlDtiD+WP2OtpyB2TyYzJZM7sMEREREREHiubiokdOnRg3bp19O/fnzFjxuDp6Wm1/ebNmwwbNozLly/Trl27RxKopJ/ZbMbdPfvDO4qkQrkj6aH8EXs9ybljNJqIj7+pgqKIiIiIPFNsKiYWK1aMcePGMWzYMEJCQggMDKRo0aIA/PHHH+zatQuj0cjHH39M/vz5H2W8kg4Gg4FJy/fy+6XrmR2KiIjIU62QtxuDO1TGwcFw32LipUsXeeONtowbN4lKlapY2v/88zIREdP56afdJCcnU7p0Wfr06U+pUn4PPOYXX3zK6tUrOH/+D7y9vXnttVa0atUWg8Fg6RMTc5C5c2dx5EgM2bPnIDCwFj179uW5556z9Pnuu/9j5sypJCbe4JVXGtKnzwAcHR0t22fMCOfmzb8ZOnS4vZdHRERERLIwm4qJAA0bNsTPz4958+axfft2tm3bBkCOHDkICQmhZ8+elChR4pEFKhnj90vXif3jWmaHISIikqVdvHiBQYP6cuPGDav2mzcT6dOnO87Ozrz99ru4uLgSFTWfgQP7sHjxKqui3799+ulaJk+eQIcOb1C1anWOHIlh1qyp3Lr1N6+/3hWAI0di6NevJ0WKvMDw4aNxdXVl1arlvPlmVxYt+oRcuXIRFxfHmDEjaN26PX5+ZZg4cSzPP1+UZs1aAHDhwnk2bvySpUtXPdoLJCIiIiJPrTQtRFSsWDHGjx/PTz/9xM8//8yPP/7Ivn37+Pjjj5/IQqLRaKR169bExMQAcOXKFd5++21q1KhBxYoV6dGjBydPnkzTmMHBwfj6+rJo0aJUt48cORJfX19mzJiR7vjvOXToEC1btiQ5OTnDxhQREZGMZzKZ2LjxC7p27Uh8fHyK7atWfcK1a/FMmzaHevXqU6tWbSZMmIyzswv790enOqbZbGbZsiiCgxvw5pv9qFKlGq+/3pWXXgpl3bp/in5LliwkVy43pk+fQ3Dw3bE//ngaJpOJ5csXAxATcwBHR0e6d3+TF1+sS/36LxMd/bNljMjICJo2bU7evPky9sKIiIiISJZh96rm7u7u5M6dOwNDyXgLFiygSJEilCtXDoA333yT3377jXnz5rF27VqyZctG586d+fvvv9M0rrOzM5s3b07RnpyczDfffGM13Sgj+Pv7U6xYMebNm5eh44qIiEjGio09weTJEwgNbcSIEaNTbP/22+3UrRti9QRinjzP8dlnX9GgwSv3HXfy5Bn07t3fqs3JyZk7d5Isn8+cOUNAQHnc3d0tba6urpQuXZYfftgF3F3yxNnZxfJdxdnZGZPJBMDx40f5+efddOzYOe0nLiIiIiLPjCf3FYnpdP36debOnUtYWBgAcXFxFCpUiDFjxuDv70/x4sXp3bs3f/75JydOnEjT2IGBgRw4cIALFy5Ytf/444/kyJHjkawb2bVrV+bNm8e1a5qiLCIi8qTy9vZh5cpP6ddvEK6u2ay2JScnc+bMKYoUKcq8ebNp2vRl6tSpTt++PYiNvf9MCYPBQNGiL+Djkx+z2UxCwjW+/PIzvv56I82bt7L08/TMneK7CcD5879z4cJ5AHx9S5OYeIOdO7/lzz8v88MPOwkIKA9ARMR0OnR4Azc3t/RfCBERERHJsrJsMXHVqlV4e3vj53d3MXNPT0/Cw8MpWbIkAH/99RcLFizAx8cnzVO0AwICKFCgQIqnEzdt2kRoaGiKJxPXrVtHs2bNCAgIoEKFCnTq1InDhw9btgcHBxMZGUm/fv2oWLEi1atXZ9y4cVbTmv38/PD29mbVKq1hJCIi8qRyd/cgXz7vVLddv56A0Whk1apP2LcvmqFDR/DBB+O5di2efv168ueflx86/qFDB2jYMISPPvqQF14oTsuWbSzbGjZ8lePHjzJt2mT++utPrlz5i4iI6Zw5c4Zbt+7OwsibNx9vvTWUMWNG0bJlE0qUKEnz5q356afdnDt3lhYt2rBx4xe88UZb+vbtwfHjRzPmwoiIiIhIlpFli4lbt26lXr16qW4bMWIEtWrVYvPmzYwdO5YcOXKkefzQ0FCrYuKdO3fYunUrjRo1suq3ZcsWRo0aRefOnfnqq69YvHgxt27dYvhw6zckzpgxg6pVq/Lpp5/Sr18/lixZwoYNG6z61K1bl+3bt6c5VhEREcl8SUn/TEmePHkGNWsGUadOMB9/PJ2//77JunWrHzpGgQIFmTFjLiNHfkhi4g3Cwjpx9eoVAJo0aUbfvgPYsOEzmjULpVmzUC5cOE+zZs3Jli27ZYzGjZuxefP/8c03Oxg9ejzOzs7MmTODrl17cO7cWaZO/ZiBA4fw4ov1eOedt7hz507GXwwREREReWrZ/Dbnp4nJZCImJoZ27dqluv2NN96gTZs2rFixgj59+vDJJ59QtmzZNB0jNDSUBQsWcOHCBfLnz8/333+Pp6cnZcqUseqXO3duPvzwQ5o1awZAwYIFadWqFaNGjbLqV7t2bV5//XUAihYtytq1a9m3b59lPwBfX1+WLFmCyWTCwSHL1oFFRESeGo6O9//7+N42R0cHnJwccHfPBUDlylUsPwMUKlSAokVf4OTJ4zg5Pfjvdx8fb3x87j75GBDgT6tWzdi48XO6dOkGQMeOr9O2bTt+//13PDxy4+npyQcfjMTd3f0/Yzvg4nL3a+BXX20gKSmJJk1eZcGCSCpUqESVKlWoVKkS8+ZFcPToYSpVqpzma5NZ/n3dRdJK+SP2Uu6IvZQ7kh6ZlT9ZspgYHx9PUlISXl5eqW6/N615zJgx/PLLLyxbtozx48en6RjlypWjcOHCbN68mS5durBp0yYaN26col/VqlXx8vIiIiKCs2fPcvr0aX799VfLYuf3FC9e3Oqzm5ub1RMMAF5eXiQnJxMfH3/fcxMREZHHx909+323ublls/zu6ZkTT8+c5MmTBzDh6ZnTqq/ZbMLNLWeKdoAbN26wfft2ypcvT5EiRSztnp5+eHh4EB9/BU/PnBw6dIgLFy7w0ksvkTdvbku/EyeO4e9fLtWx79y5w/z5cxk2bBjPPedOYmICzz3nZenr5ubG7ds3Ut33SfegPxuRh1H+iL2UO2Iv5Y6kx+POnyxZTLzn3wW7K1eusHv3bkJDQ3F0dATAwcGB4sWLc/nyw9coSs29qc7t27dn27ZtrFmzJkWfjRs3MmTIEBo3bkxAQAAtW7bk+PHjfPDBB1b9XFxcUuxrNptTPR89lSgiIvJkSEj4G6PRlOq269dvWX6Pi0sEoHr1mnz33f9x+vTv5M7tCcDZs2c4ffo0jRq9aun3b/eWRwkNbcS7746wtB85cpj4+Hief74YcXGJfPfdLiIjZ7NhwzeWl6j89NOPnDhxgvbtO6U69vLlS/DyykPlyoHExSWSM6c7sbGniYtLJCkpifj4eFxccqS675PK0dEBd/fsD/yzEbkf5Y/YS7kj9lLuSHqkN3/c3bPb9VRjliwmenl54eLiQlxcnKXt8uXLvPXWW+TJk4fAwEDg7tpFR44cITg42K7jhIaGEhkZydq1aylcuHCKpwsB5syZQ8uWLRk9erSlbdu2bcDdYuF/X9byIFevXsXFxYXcuXPbFa+IiIhkLKPRRHJy6l/c7n2h+3efN94IY8eO/6N//9507tyd5ORkIiNnkS+fN40aNbX0i4k5hKenJwULFsLJyZUOHd4gKmo+bm4eVKlSjd9+O8fChZGUKFGKV15pTHKyifr1X2Hx4kW8++7btG//OpcvX2TGjCn4+5cnOPjlFHFev36dqKiFTJgw2bKtRo1aLF68kC+//IJTp2LJlcsNP7+y9z3HJ9mD/mxEHkb5I/ZS7oi9lDuSHo87f7JkMRHuvnE5JibGsuagn58fQUFBjB49mg8//BB3d3fmzJlDQkICnTt3BsBoNHL16lXc3NzIli3bQ49RunRpihQpQnh4OD179ky1T/78+dm3bx+HDx/Gzc2N7du3s2zZMuDu1CJXV1ebz+nIkSOUL1/e5v4iIiLyZClYsBCzZy9k9uwZjBkzEkdHB6pUqU7//oPIkeOfqcS9enUhNLQxw4e/D0CXLt3x8srDp5+uYfXqFbi7uxMcXJ/u3XtbvkvkyfMc4eEzmTlzCsOHD8HNzY2GDV+le/dellkZ/7Z06UL8/QMoX76ipa1MmXL07NmXWbOm4e7uzgcfjMfV9eHfiURERETk2ZFli4n169dn/fr1ls8Gg4GpU6cyefJkBgwYwPXr16lSpQrLly+nQIECAFy4cIGQkBDGjx9P8+bNbTpOaGgos2fPpmHDhqluHzFiBCNHjqRjx464uLjg5+fHxIkTGThwIAcOHKBatWo2n9OPP/5IixYtbO4vIiIimadSpSrs2hWdov2FF4oxceKUB+773/0cHBx47bWWvPZaywfu5+dXmpkzI22Kr3fv/6Xa3r59J9q372TTGCIiIiLy7DGY/7swXxZx7do1goODiYqKwt/f3+b95s+fT4ECBe5bHMwsBw8epEuXLmzfvh0PDw+7xxkQ/i2xf1zLwMhERESePcULejB1UF3i4hI1JekJ4+TkgKdnTv3ZiF2UP2Iv5Y7YS7kj6ZHe/PHyymnXmolZ9k0eHh4ehIWFERUVZfM+N27cYNOmTZY1FZ8kUVFRdO3aNV2FRBERERERERERkfTIstOcAbp37067du04ePAgAQEBD+2fK1cuVq5cmeqblTPTwYMHOXPmDB999FG6xyrk7ZYBEYmIiDzb9PepiIiIiDyrsuw0Z0kprW+PFhERkfszGk3Ex9/EZNJXqSeJpotJeih/xF7KHbGXckfSI7OmOWfpJxPFmsFgICHhb4xG3aDEdo6ODri7Z1fuiF2UP2KvpyF3TCazCokiIiIi8sxRMfEZYzSa9K8dYhfljqSH8kfspdwREREREXmyZNkXsIiIiIiIiIiIiEjGUjFRREREREREREREbKJiooiIiIiIiIiIiNhExUQRERERERERERGxiYqJIiIiIiIiIiIiYhMVE0VERERERERERMQmKiaKiIiIiIiIiIiITVRMFBEREREREREREZuomCgiIiIiIiIiIiI2UTFRREREREREREREbKJiooiIiIiIiIiIiNhExUQRERERERERERGxiVNmByCPl6Oj6seSNvdyRrkj9lD+iL2UO2Iv5Y6kh/JH7KXckX8zmcyYTObMDkPkkVEx8RliNptxd8+e2WHIU0q5I+mh/BF7KXfEXsodSQ/lj9hLuSMARqOJ+PibKihKlqVi4jPEYDAwaflefr90PbNDEREREREREclyCnm7MbhDZRwcDFbFRKPRyCefLGXDhs/4888/KVz4edq370SjRo1THWf16hVMnz6ZNWu+IH/+Ag885quvvszVq1dStH/++Wby5HkOgNjYk0RETOfIkRhcXJypWrUGvXv3x8srj6X/d9/9HzNnTiUx8QavvNKQPn0G4OjoaNk+Y0Y4N2/+zdChw9N0TSTrUTHxGfP7pevE/nEts8MQEREREREReWbMnTuL1as/oVu3Xvj5lWH37u8ZM2YkTk6OtG3b0qrvb7+dY+7cmTaNe/XqFa5evUK/fgMpWzbAapuHR24Arlz5i/79e+Lt7cPw4aO4desWs2fPYPDg/kRGLsbJyYm4uDjGjBlB69bt8fMrw8SJY3n++aI0a9YCgAsXzrNx45csXboq/RdDnnpPxIIORqOR1q1bExMTA0B8fDwjR47kxRdfpFKlSrRr147o6Gibx+vTpw+tW7dO0d6uXTt8fX35+eefrdo3b96Mr68vFy9eTN+JPEKLFi1i7NixmR2GiIiIiIiIiKTBzZs3WbduFa1bt6djx85UqVKNfv0GUqFCJdasWWnV12g0Mnbs+5ZC4MMcP34MgDp1gilXzt/ql5PT3efHdu3awbVr1xgz5iOCgupQv/7LvP32MI4fP8ahQwcAiIk5gKOjI927v8mLL9alfv2XiY7+p3YSGRlB06bNyZs3XwZcEXnaPRHFxAULFlCkSBHKlSsHwKBBgzhw4ADh4eGsXbuWsmXLEhYWRmxsrE3j1axZkyNHjnDr1i1L2/Xr1zl48CD58+dnx44dVv2jo6MpVqwYPj4+GXdSGaxjx47s2LEjTUVVEREREREREclcLi4uzJmziLZtO1i1Ozs7c+dOklXbihVLuXr1Ch06vGHT2CdOHCdXLjd8fPLft09S0h0AcuTIaWnLnTs3AAkJd2cuGgwGnJ1dMBgMlthMJhMAx48f5eefd9OxY2ebYpKsL9OLidevX2fu3LmEhYUBcPbsWb7//ntGjRpFlSpVKFasGMOHD8fb25sNGzbYNGZgYCBJSUkcOnTI0vbDDz/g7u5Oq1at2Llzp1X/PXv2UKtWrYw7qUfA2dmZDh06MHny5MwORURERERERERs5OTkRMmSpfDyyoPZbObKlb9YunQR0dE/07LlP7MqT52KZeHCebz77kiyZ7ftZT4nTx7Dzc2dYcPe5uWX69CgQW1GjXqXv/76y9InOLgBzz2XlylTJvLXX39x/vwfzJo1jTx5nqNy5WoA+PqWJjHxBjt3fsuff17mhx92EhBQHoCIiOl06PAGbm5uGXZN5OmW6cXEVatW4e3tjZ+fHwCenp5ERkZanlKEuxVys9nMtWu2rfV37ynDffv2Wdp27txJzZo1qV27NkePHuXy5csAJCQkcPz4cYKCggC4desWU6dOJSQkBH9/f5o1a8bWrVst46xfv54GDRqwadMmgoODCQgIICwsjEuXLjF27FiqVq1KzZo1mTt3rmWfO3fuMHnyZOrXr0+5cuWoXr06gwYNIi4uDoDff/8dX19fvvrqK1q1aoW/vz8hISGsXbvW6rxeeeUVfvnlF3755Zc0XGEREREREREReRJs2bKZpk1fYe7cWdSoUZP69V8CIDk5mbFj36dJk6ZUrFjZ5vFOnDjOn39eonTpMkycOJW+fQeyf/8++vbtwd9//w2Al1ce3nprKN9/v4NmzV6hdeumnDx5gkmTppMrVy4A8ubNx1tvDWXMmFG0bNmEEiVK0rx5a376aTfnzp2lRYs2bNz4BW+80Za+fXtw/PjRjL848tTI9GLi1q1bqVevnuWzu7s7derUwcXFxdL21Vdfce7cOUvBzxaBgYHs37/f8nnXrl3Url2bcuXKkTt3bsvTiXv37sXR0ZFq1e5W4wcNGsRnn33G8OHD+eKLL6hfvz59+/Zl27ZtlrEuXLjAihUriIiIYNGiRRw6dIhXX30VJycnVq9eTdu2bQkPD+f48eMATJw4kQ0bNjB27Fi+/vprPvroI77//ntmz55tFfOECRPo1asXn332GYGBgYwYMYLffvvNsj1fvnyUKVOG7du323wdREREREREROTJUKZMOWbOjGTIkOEcP36U7t07c/v2baKiFnD9egK9evVL03jDho0iMjKKTp26UL58RZo2bc6HH37E77+fY/PmjQB8881mhg17m6CgFwkPn8n48ZMoWvQFBg3qy9mzZyxjNW7cjM2b/49vvtnB6NHjcXZ2Zs6cGXTt2oNz584yderHDBw4hBdfrMc777zFnTt3MvLSyFMkU9/mbDKZiImJoV27dvfts3fvXoYNG0ZISAjBwcE2jx0YGMi4ceMwm83ExsZy8eJFatWqhYODA4GBgezcuZMWLVqwZ88eKlasSI4cOYiNjWXbtm3MmTPHUuDs27cvx44dY86cOYSEhACQlJTEiBEjKFWqlOVYv/zyC0OGDMFgMNCzZ09mzZrFiRMnKFWqFP7+/rz00kuWgmXBggUJCgri2LFjVjF36dLFcoyhQ4eyZs0aDhw4QOHChS19fH19OXDggM3XQUREREREREQeL0fH1J/dKlq0CEWLFqFKlSo8/3xh+vbtxcKFC1m8eCHh4dPJnt0VMGEwmAEwGMwYDGYcHR1THa9ChQop2ipVqkSuXLk4deoETk4OLFoUSUBAecaO/cjSJzAwkLZtWzB//mzGj//4X3s74OJyt1T01VcbSEpKokmTV1mwIJIKFSpRpUoVKlWqxLx5ERw9ephKlWx/ilIy3r08u1++PSqZWkyMj48nKSkJLy+vVLdv3bqVwYMHU758ecLDw9M0dmBgIPHx8Zw6dYpdu3bh5+dH3rx5AQgKCrKMFx0dbSlS3ivuVa5s/R9DlSpVUqxV+MILL1h+zp49O4UKFbIsVOrq6grA7du3AWjatCm7d+8mPDycM2fOEBsby6lTp6hSpYrVmMWLF7f8fG8tgqQk68VYvby8VEwUEREREREReYK5u/+z5uGVK1fYsWMHL774Inny5LG0BwZWBSAiIoKkpCT69XszxTgtWzalWrVqLF26NMW2hIQEvvnmGypUqECJEiUs7WazmeTkZLy98+LpmZOLFy/w8ssv4emZ819756R8+fKcOHHiP+133blzh/nz5zJs2DCee86dxMQEnnvOy9LXzc2N27dvpLqvPH7/zrfHIVOLiffce0PQvy1btoyxY8fSoEEDJk2aZDXt2Rb58uWjRIkS7N+/n127dllNkQ4KCmL48OHExMRw5MgRRowY8dD47r1S/R5nZ2erzw4O968Cv//++2zatIlmzZpRt25d3nzzTRYsWMClS5es+qV2jmaz2eqz0Wh84LFEREREREREJHMlJPyN0Xi31nHhwl+888479OrVh86dwyx9tm27+36GsWPHki9fAUymf/7/f9euHSxYEMnHH0/h+eeLEBeXmOIYt27dYfTo0YSENGDUqDGW9u+++z9u3bpFmTLliYtLpEiRovz00x6uXr1heQjq9u3bHDoUQ5EiRVMde/nyJXh55aFy5UDi4hLJmdOd2NjTxMUlkpSURHx8PC4uOVLdVx4fR0cH3N2zW+VbWri7Z7frqcZMLSZ6eXnh4uJieRHJPZ988gljxoyhU6dODBs2zO7i2b11E/fu3Uu3bt0s7T4+PpQoUYKVK1eSM2dOypYtC2CZtrx3716rdRyjo6OtqvxpERcXx4oVK5gyZQoNGza0tJ86dYocOXLYNV6+fPnsikVEREREREREHj2j0URy8t3ijrd3AV55pRELF84DDJQuXZajR4+wePFCatQIpEmTJsTH37T0Bzhx4gQARYsWJ3/+ApZtMTGH8PT0pGDBQjg5udK+/etERc0nd24vqlcPJDb2BAsXRlKzZhCVKlUlOdlEt269ePfdwbz77hAaN25KUtIdVq36hD//vMzIkWOsjgtw/fp1oqIWMmHCZMu2GjVqsXjxQr788gtOnYolVy43/PzKpthXMse/8+1xyPQnEwMCAoiJiaFZs2YAnD59mnHjxtGgQQN69uzJlStXLH2zZcuGm5sbRqORq1ev4ubmRrZs2e47dmBgIIMHDwburhnwb0FBQaxevZq6detaipUlSpSgTp06jB49GoCiRYuyceNGtm3bxtSpU+06Pzc3N9zc3Ni2bRtly5bl1q1bLFu2jMOHD1O+fPk0j3f48GEaNGhgVywiIiIiIiIi8vgNGTKcwoWfZ+PGL1i4MJI8eZ6jVau2hIV1tzwtaItevboQGtqY4cPfB6Br1x54enrx2WdrWbduNR4eHjRt2pywsJ6WfYKC6vDxx9NYvHg+w4a9TY4cOShdugyRkYspWbJUimMsXboQf/8AypevaGkrU6YcPXv2Zdasabi7u/PBB+Nxdb1/PUaytkwvJtavX5/169dbPn/99dckJSWxZcsWtmzZYtX3tddeY8KECVy4cIGQkBDGjx9P8+bN7zt29erVuXPnDrVr104xhTgoKIioqChq1apl1T5lyhTCw8N57733SEhIoGTJksyYMcPuAp6TkxPTpk1jwoQJNGnSBA8PD6pXr86gQYOYM2cON2/etHmsK1eucOLECSZMmGBXLCIiIiIiIiLy+Lm4uPDGG2G88UaYVbuTU+ozMRs2bELDhk1StO/aFW312cHBgRYtWtOiResHHr9GjZrUqFHTplh79/5fqu3t23eifftONo0hWZvB/N9F+R6za9euERwcTFRUFP7+/jbvN3/+fAoUKGA1dTirmzdvHt9++y3Lly+3e4wB4d8S+8e1DIxKRERERERERACKF/Rg6qC6xMUl2jTt1MnJAU/PnDb3F/m39OaPl1dOu9ZMzPQ3eXh4eBAWFkZUVJTN+9y4cYNNmzYRGBj46AJ7wty5c4eVK1cyYMCAzA5FRERERERERESeUZk+zRmge/futGvXjoMHDxIQEPDQ/rly5WLlypVpfsPz02zJkiXUqVOHqlWrpmucQt5uGRSRiIiIiIiIiPyb/p9bngWZPs1ZHh+z2ZymhV1FREREREREJG2MRhPx8TcxmR5ebtE0Z0mPzJrm/EQ8mSiPh8FgICHhb4xG3aDEdo6ODri7Z1fuiF2UP2Iv5Y7YS7kj6aH8EXspd+TfTCazTYVEkaeVionPGKPRpH/tELsodyQ9lD9iL+WO2Eu5I+mh/BF7KXdE5FmQ6S9gERERERERERERkaeDiokiIiIiIiIiIiJiExUTRURERERERERExCYqJoqIiIiIiIiIiIhNVEwUERERERERERERm6iYKCIiIiIiIiIiIjZRMVFERERERERERERsomKiiIiIiIiIiIiI2ETFRBEREREREREREbGJiokiIiIiIiIiIiJiExUTRURERERERERExCYqJoqIiIiIiIiIiIhNnDI7AHm8HB1VP5a0uZczyh2xx7OePyaTGZPJnNlhiIiIiIiIZBgVE58hZrMZd/fsmR2GPKWUO5Iez2r+GI0m4uNvqqAoIiIiIiJZhoqJzxCDwcCk5Xv5/dL1zA5FRCTLK+TtxuAOlXFwMNy3mHjp0kXeeKMt48ZNolKlKpb2ffuiWbgwkpMnT+Di4kK5cgH07t2fQoUKP/CY3367jeXLF3P27Fly5cpF5cpVefPNfnh55Um1/7Bhb5MzZ06GD3/fqv277/6PmTOnkph4g1deaUifPgNwdHS0bJ8xI5ybN/9m6NDhNl4NERERERHJKlRMfMb8fuk6sX9cy+wwRESeeRcvXmDQoL7cuHHDqj0m5iADB/YhKOhFRo0aw61bt1i8eCG9e3djyZJV5M6dO9Xxtm/fysiR79C0aXO6d+/N1atXWLBgLv37v8mCBUtxdXW19DUajUyfPpkdO/6P0NDGVuPExcUxZswIWrduj59fGSZOHMvzzxelWbMWAFy4cJ6NG79k6dJVGXtBRERERETkqZClF7EyGo20bt2amJgYAOLj4xk5ciQvvvgilSpVol27dkRHR6dpzODgYHx9fVm0aFGq20eOHImvry8zZsxId/z3HDp0iJYtW5KcnJxhY4qISOYwmUxs3PgFXbt2JD4+PsX2pUsXUbToC4wZ8xGBgUHUq1efSZOmc+1aPJs2fXnfcRcvnk9gYC3efnsY1arV4JVXGvHBB+M5c+YUP/yw09Lv5MkT9O/fiw0bPrcqMN4TE3MAR0dHund/kxdfrEv9+i8THf2zZXtkZARNmzYnb9586bsQIiIiIiLyVMrSxcQFCxZQpEgRypUrB8CgQYM4cOAA4eHhrF27lrJlyxIWFkZsbGyaxnV2dmbz5s0p2pOTk/nmm28wGAwZEv89/v7+FCtWjHnz5mXouCIi8vjFxp5g8uQJhIY2YsSI0Sm2ly5dllat2uHg8M9f0c899xw5cuTk/PnfUx3TZDJRpUp1Xn31Nav2woWLAPDHH//s9+GHozCZTMydG4Wnp1eKsQwGA87OLpa/y5ydnTGZTAAcP36Un3/eTceOndN20iIiIiIikmVk2WnO169fZ+7cuSxfvhyAs2fP8v3337NixQoqVaoEwPDhw9mxYwcbNmzgf//7n81jBwYGsnPnTi5cuED+/Pkt7T/++CM5cuQge/aMf9FA165dad++Pe3bt8fDwyPDxxcRkcfD29uHlSs/JV8+b/btS/l0fOfO3VK07dsXzfXrCbzwQvFUx3RwcKBfv4Ep2r/7bjsAxYqVsLS9995oSpQoed/4fH1Lk5h4g507v8XPrww//LCTJk2aARARMZ0OHd7Azc3tAWcoIiIiIiJZWZZ9MnHVqlV4e3vj5+cHgKenJ5GRkZanFOHu0xdms5lr19K2hmBAQAAFChRI8XTipk2bCA0NTfFk4rp162jWrBkBAQFUqFCBTp06cfjwYcv24OBgIiMj6devHxUrVqR69eqMGzfOalqzn58f3t7erFqlNapERJ5m7u4e5MvnbXP/uLg4PvroQ/Ll806xvuGD/PbbOSIiplGqlB81atS0tD+okAiQN28+3nprKGPGjKJlyyaUKFGS5s1b89NPuzl37iwtWrRh48YveOONtvTt24Pjx4/aHJOIiIiIiDz9smwxcevWrdSrV8/y2d3dnTp16uDi4mJp++qrrzh37hxBQUFpHj80NNSqmHjnzh22bt1Ko0aNrPpt2bKFUaNG0blzZ7766isWL17MrVu3GD7c+g2YM2bMoGrVqnz66af069ePJUuWsGHDBqs+devWZfv27WmOVUREnk5//fUn//tfL+Li4hg7diI5cuSwab8zZ07Tv38vnJ1d+PDDj6ymTNuiceNmbN78f3zzzQ5Gjx6Ps7Mzc+bMoGvXHpw7d5apUz9m4MAhvPhiPd555y3u3Lljz+mJiIiIiMhTKEtOczaZTMTExNCuXbv79tm7dy/Dhg0jJCSE4ODgNB8jNDSUBQsWWKY6f//993h6elKmTBmrfrlz5+bDDz+kWbNmABQsWJBWrVoxatQoq361a9fm9ddfB6Bo0aKsXbuWffv2WfYD8PX1ZcmSJZhMpjT/j6GIiGQOR8f736/vbXN0dMDJybrfyZMneOut//H33zeZOnUm/v7+Nh1v7949vPPOYHLkyMn06RE8/3zhB/Y3GAwpjn2XAy4ud78mfPXVBpKSkmjS5FUWLIikQoVKVKlShUqVKjFvXgRHjx6mUqXKNsVnq39fG5G0UO5Ieih/xF7KHbGXckfSI7PyJ0sWE+Pj40lKSsLLK+XC8nD3qcXBgwdTvnx5wsPD7TpGuXLlKFy4MJs3b6ZLly5s2rSJxo1TTj+rWrUqXl5eREREcPbsWU6fPs2vv/5qWcz+nuLFrdfBcnNzIykpyarNy8uL5ORk4uPj73tuIiLyZHF3v/86um5u2Sy/e3rmtLTv3r2bPn364ObmxvLlyylVqpRNx/ryyy959913KVq0KPPnz8fHx+eB/R0dHXB1dbI69n/duXOH+fPnMmzYMJ57zp3ExASee87Lso+bmxu3b9944Bjp8aDrJ/Igyh1JD+WP2Eu5I/ZS7kh6PO78yZLFxHv+W7ADWLZsGWPHjqVBgwZMmjTJatpzWt2b6ty+fXu2bdvGmjVrUvTZuHEjQ4YMoXHjxgQEBNCyZUuOHz/OBx98YNUvtTjMZnOq56OnEkVEnh4JCX9jNKb8+wjg+vVblt/j4hIBOHbsKL169aJAgYJMnTqLvHnzWbY9yA8/7GLo0KEEBFTg44/DcXV1e+h+RqOJ27eTH9hv+fIleHnloXLlQOLiEsmZ053Y2NPExSWSlJREfHw8Li45bIoxLRwdHXB3z/7A6yeSGuWOpIfyR+yl3BF7KXckPdKbP+7u2e16qjFLFhO9vLxwcXEhLi7Oqv2TTz5hzJgxdOrUiWHDhqW7KBcaGkpkZCRr166lcOHCKZ4uBJgzZw4tW7Zk9OjRlrZt27YBd4uF/31Zy4NcvXoVFxcXcufOna64RUTk8TEaTSQnp/4X+72/8P/dZ+zY0SQnJ9OlS3fOn7/A+fMXLP09PT0pWLAQADExhyyfb9++zdixH5A9ew5ef70LJ0+esjpOvnz57vvSF7PZfN/4rl+/TlTUQiZMmGzpU6NGLRYvXsiXX37BqVOx5Mrlhp9f2fuOkV4Pun4iD6LckfRQ/oi9lDtiL+WOpMfjzp8sWUyEu29cjomJsaw5ePr0acaNG0eDBg3o2bMnV65csfTNli0bbm5uGI1Grl69ipubG9myZXvoMUqXLk2RIkUIDw+nZ8+eqfbJnz8/+/bt4/Dhw7i5ubF9+3aWLVsG3J065urqavM5HTlyhPLly9vcX0REni5//PE7x48fA2DEiHdSbA8Nbczw4e8D0KtXF8vnmJiDXLnyFwADB/ZNsV+XLt0JC0v976kHWbp0If7+AZQvX9HSVqZMOXr27MusWdNwd3fngw/G4+r68L8zRUREREQka8iyxcT69euzfv16y+evv/6apKQktmzZwpYtW6z6vvbaa0yYMIELFy4QEhLC+PHjad68uU3HCQ0NZfbs2TRs2DDV7SNGjGDkyJF07NgRFxcX/Pz8mDhxIgMHDuTAgQNUq1bN5nP68ccfadGihc39RUTkyVapUhV27Yq2fC5YsJDV5wf5d7/KlavavN+/rV375QO39+79v1Tb27fvRPv2ndJ8PBERERERefoZzP9dmC+LuHbtGsHBwURFRdn8BkyA+fPnU6BAgfsWBzPLwYMH6dKlC9u3b8fDw8PucQaEf0vsH9cyMDIREUlN8YIeTB1Ul7i4RE1ZsYOTkwOenjl1/STNlDuSHsofsZdyR+yl3JH0SG/+eHnltGvNxCz7Jg8PDw/CwsKIioqyeZ8bN26wadMmAgMDH11gdoqKiqJr167pKiSKiIiIiIiIiIikR5ad5gzQvXt32rVrx8GDBwkICHho/1y5crFy5cp0veH5UTh48CBnzpzho48+SvdYhbzdMiAiERF5GN1vRUREREQkK8qy05wlpbS+PVpERNLHaDQRH38Tk0l/1aaVpvyIvZQ7kh7KH7GXckfspdyR9Misac5Z+slEsWYwGEhI+BujUTcosZ2jowPu7tmVO2KXZz1/TCazCokiIiIiIpKlqJj4jDEaTfrXDrGLckfSQ/kjIiIiIiKSNWTZF7CIiIiIiIiIiIhIxlIxUURERERERERERGyiYqKIiIiIiIiIiIjYRMVEERERERERERERsYmKiSIiIiIiIiIiImITFRNFRERERERERETEJiomioiIiIiIiIiIiE1UTBQRERERERERERGbqJgoIiIiIiIiIiIiNlExUURERERERERERGyiYqKIiIiIiIiIiIjYRMVEERERERERERERsYlTZgcgj5ejo+rH9jCZzJhM5swOQ0REREREREQkU6mY+Awxm824u2fP7DCeSkajifj4myooioiIiIiIiMgzTcXEZ4jBYGDS8r38ful6ZofyVCnk7cbgDpVxcDBYiolms5kvvviU9etXc/78H+TO7UVQ0It069aTnDlzpRhj06YvGTdu9H2PMXz4+4SGNk7RPn36ZFavXsGuXdFW7fPmzebzz9fj6upKWFhPGjZsYtlmNpvp1u112rTpwEsvvWLvaYuIiIiIiIiIpKBi4jPm90vXif3jWmaH8dT75JMlREZG0K5dJypXrsoff/zG/PlzOHUqlqlTZ2EwGKz6BwYGMWfOov+MYuajjz4kMTGRGjVqpTjGL7/sY+3aVSnaf/hhFytWLOWdd0aQkHCNjz76ED+/MhQrVhyArVu/xmg00qDByxl2viIiIiIiIiIi8IS8gMVoNNK6dWtiYmJSbIuIiKBTp05pGq9Pnz60bt06RXu7du3w9fXl559/tmrfvHkzvr6+XLx4MW2BP0aLFi1i7NixmR2GACaTiaVLo3j11eb06tWXqlWr06xZSwYNeoe9e3/m2LFfU+zj6elJuXL+Vr+OHDnM2bNnGDPmIzw9Pa36//3334wbN5rnnsubYqzo6J+oUqU6L70USsuWbSlatBj79+8FICkpicjI2fTq1TdFQVNEREREREREJL2eiGLiggULKFKkCOXKlbNqj4qKYvr06Wker2bNmhw5coRbt25Z2q5fv87BgwfJnz8/O3bssOofHR1NsWLF8PHxse8EHoOOHTuyY8cOoqOjH95ZHqnExERefjk0xZN/hQs/D8Aff/z+0DGuXPmLefNm06xZC8qWLZdi+6xZU8mTJ4/V9OV7DAYDrq6uls/Ozs6YTCYAPv10DT4+PtSoUTNN5yQiIiIiIiIiYotMLyZev36duXPnEhYWZmm7dOkS3bp1Y9q0abzwwgtpHjMwMJCkpCQOHTpkafvhhx9wd3enVatW7Ny506r/nj17qFUr5TTTJ4mzszMdOnRg8uTJmR3KM8/NzY2BA4cQEFDBqn3Hjv8D4IUXij90jPnz5+Lo6ED37r1TbNuz50c2b97Iu++OSvXpwrJlA9i/fy/nzp3l8OEYTp06ib9/eRITb7BkyULefLOffScmIiIiIiIiIvIQmV5MXLVqFd7e3vj5+VnaDh8+jIeHB1988QXly5dP85j3njLct2+fpW3nzp3UrFmT2rVrc/ToUS5fvgxAQkICx48fJygoCIBbt24xdepUQkJC8Pf3p1mzZmzdutUyzvr162nQoAGbNm0iODiYgIAAwsLCuHTpEmPHjqVq1arUrFmTuXPnWva5c+cOkydPpn79+pQrV47q1aszaNAg4uLiAPj999/x9fXlq6++olWrVvj7+xMSEsLatWutzuuVV17hl19+4ZdffknzNZFH69ChAyxfvpjateta1i68n7i4q3z99UaaN2+Nm5ub1bYbN24wfvwYwsJ68fzzRVLdv169EOrUqUenTq3p378n3br1ws+vNEuXRlGhQiV8fUszY8YU2rdvwahR7xIfH59RpykiIiIiIiIiz7hMLyZu3bqVevXqWbUFBwczefJkChcubPe4gYGB7N+/3/J5165d1K5dm3LlypE7d27L04l79+7F0dGRatWqATBo0CA+++wzhg8fzhdffEH9+vXp27cv27Zts4x14cIFVqxYQUREBIsWLeLQoUO8+uqrODk5sXr1atq2bUt4eDjHjx8HYOLEiWzYsIGxY8fy9ddf89FHH/H9998ze/Zsq5gnTJhAr169+OyzzwgMDGTEiBH89ttvlu358uWjTJkybN++3e7rIhnvwIH9vP32/yhQoBDvvjviof2/+OJTTCYTrVq1S7Ft+vTJ5MvnTZs27e+7v8Fg4O23h7Fly06++WYH7du/zp9/Xmb9+jX06NGb9evXsGfPj3z44UQcHByZNGl8us5PREREREREROSeTH2bs8lkIiYmhnbtUhZV0iswMJBx48ZhNpuJjY3l4sWL1KpVCwcHBwIDA9m5cyctWrRgz549VKxYkRw5chAbG8u2bduYM2eOpcDZt29fjh07xpw5cwgJCQHuvuRixIgRlCpVynKsX375hSFDhmAwGOjZsyezZs3ixIkTlCpVCn9/f1566SVLwbJgwYIEBQVx7Ngxq5i7dOliOcbQoUNZs2YNBw4csCqq+vr6cuDAgQy/XvJwjo4pa+9btnzNmDGjeP75IkybNgsvL89U9rT23XfbqV69Bnnz5rFq37VrB9u2fcOiRctwcAAw8c8sZxMODg44OPwTg5NTNsvPCxfO5aWXXqZYsWJMnDiW0NBGlCpVkrZt29OjRxcMBjOOjo52nPU/553a+Ys8jPJH7KXcEXspdyQ9lD9iL+WO2Eu5I+mRWfmTqcXE+Ph4kpKS8PLyyvCxAwMDiY+P59SpU+zatQs/Pz/y5r37ZtygoCDCw8OBuy9fCQ4OBrAU9ypXrmw1VpUqVVKsVfjvtRyzZ89OoUKFLOvb3Xs5xu3btwFo2rQpu3fvJjw8nDNnzhAbG8upU6eoUqWK1ZjFi/8zPfbe9NekpCSrPl5eXiomZhJ39+xWn+fPn8+kSZOoWrUqERERKaYsp+bixYscP36MsLCueHrmtNr2/fffcfv2bdq3b5Viv6Cgarz22mtMmDAhxbYTJ06wbdsWNm/ejKdnTq5diyd//nx4euakUCFvjEYjcAdPz+fSdsL/8d/zF0kL5Y/YS7kj9lLuSHoof8Reyh2xl3JH0uNx50+mFhPvufcm2oyUL18+SpQowf79+9m1a5dlTUS4W0wcPnw4MTExHDlyhBEjHjw11WQy4eRkfamcnZ2tPv/7ibH/ev/999m0aRPNmjWjbt26vPnmmyxYsIBLly5Z9XNxcUmxr9lstvpsNBofeCx5dBIS/sZovPfW5LV8/PHHhIQ04P33PyQ52YG4uMSHjvHDDz8DULy4X4r+nTqF8eqrLazaPvtsHZ9//imLFi3DwyN3qscYP34CrVq1wcUlF3FxiXh45ObcufPExSVy6tQ5HB0dMZudbYovNY6ODri7Z7c6fxFbKX/EXsodsZdyR9JD+SP2Uu6IvZQ7kh7pzR939+x2PdWYqcVELy8vXFxcLC8iyWj31k3cu3cv3bp1s7T7+PhQokQJVq5cSc6cOSlbtiyAZdry3r17rdZxjI6OpkSJEnbFEBcXx4oVK5gyZQoNGza0tJ86dYocOXLYNV6+fPnsikXSx2g0kZxs4sqVv5g6dTI+Pvlp3rwNhw8fsepXsGAhXFycOX36NAULFsLT85+pzydOnMDFxQUfn4IkJ1v/h54vnw/58vlYtXl53X2asGTJuy8o+u8++/fv5dChQ7z33hjLtho1avHpp2spUaIUa9eupEaNmoBDin3tPX8Reyh/xF7KHbGXckfSQ/kj9lLuiL2UO5Iejzt/Mv3JxICAAGJiYmjWrJnN+xiNRq5evYqbmxvZsmW7b7/AwEAGDx4MQKVKlay2BQUFsXr1aurWrWt50q9EiRLUqVOH0aNHA1C0aFE2btzItm3bmDp1atpO7P9zc3PDzc2Nbdu2UbZsWW7dusWyZcs4fPiwXW+qPnz4MA0aNLArFskYu3d/z+3bt7l48QJ9+nRLsX3YsFH4+OSnf/9eDBs2ioYNm1i2Xb16lVy5Hj4d2lYREdPp2LGz1RTrVq3acfr0KUaPHo6vb2nefXdkhh1PRERERERERJ5tmV5MrF+/PuvXr0/TPhcuXCAkJITx48fTvHnz+/arXr06d+7coXbt2immEAcFBREVFUWtWrWs2qdMmUJ4eDjvvfceCQkJlCxZkhkzZthdwHNycmLatGlMmDCBJk2a4OHhQfXq1Rk0aBBz5szh5s2bNo915coVTpw4keq6efL4NG7clMaNmz60365d0SnaBg9+h8GD37H5WGFhPQkL63nf7fPmLU7R5urqyogRH9h8DBERERERERERWxnM/12U7zG7du0awcHBREVF4e/vb/N+8+fPp0CBAlZTh7O6efPm8e2337J8+XK7xxgQ/i2xf1zLwKiyvuIFPZg6qC5xcYnP5GPnTk4OeHrmfGbPX9JH+SP2Uu6IvZQ7kh7KH7GXckfspdyR9Ehv/nh55bRrzcRMf5OHh4cHYWFhREVF2bzPjRs32LRpE4GBgY8usCfMnTt3WLlyJQMGDMjsUERERERERERE5BmV6dOcAbp37067du04ePAgAQEBD+2fK1cuVq5cmerbj7OqJUuWUKdOHapWrZqucQp5Z9x6fc8KXTMRERERERERkbueiGKis7Mza9euTdM+z1IhEbB6G7W9zGYzgztUzoBonj1GowmTKVNXBBARERERERERyXRPRDFRHg+DwUBCwt8YjVqHIa1MJrOKiSIiIiIiIiLyzFMx8RljNJq0qKuIiIiIiIiIiNgl01/AIiIiIiIiIiIiIk8HFRNFRERERERERETEJiomioiIiIiIiIiIiE1UTBQRERERERERERGbqJgoIiIiIiIiIiIiNlExUURERERERERERGyiYqKIiIiIiIiIiIjYRMVEERERERERERERsYmKiSIiIiIiIiIiImITFRNFRERERERERETEJiomioiIiIiIiIiIiE1UTBQRERERERERERGbOGV2APJ4OTqqfiwPZzKZMZnMmR2GiIiIiIiIiDxhVEx8hpjNZtzds2d2GPIUMBpNxMffVEFRRERERERERKyomPgMMRgMTFq+l98vXc/sUOQJVsjbjcEdKuPgYLhvMXHYsLc5fvwoa9d+ed9xkpOTWbFiGRs3fs5ff/1JoULP06lTZ0JCXrLq9+qrL3P16pUU+3/++Wby5HkOgHnzZvP55+txdXUlLKwnDRs2sfQzm8106/Y6bdp04KWXXrHnlEVERERERETERiomPmN+v3Sd2D+uZXYY8hT7+utN7Njxf/j45H9gv4ULI1m2LIrOnbvh71+e777bzqhRw3BwcKBevfoAXL16hatXr9Cv30DKlg2w2t/DIzcAP/ywixUrlvLOOyNISLjGRx99iJ9fGYoVKw7A1q1fYzQaadDg5Yw/WRERERERERGxkqUX0DMajbRu3ZqYmJgU2yIiIujUqVOaxwwODsbX15dFixalun3kyJH4+voyY8aMNI99P4cOHaJly5YkJydn2Jgi9vjrrz+ZOnUS+fJ5P7Tvxo1f0KDBy3Tt2oOqVaszePC7lClTjvXr11j6HD9+DIA6dYIpV87f6peT091/64iO/okqVarz0kuhtGzZlqJFi7F//14AkpKSiIycTa9efTEYDI/gjEVERERERETk37J0MXHBggUUKVKEcuXKWbVHRUUxffp0u8d1dnZm8+bNKdqTk5P55ptvMryo4e/vT7FixZg3b16GjiuSVhMmjKFatepUrlz1oX2TkpLIkSOXVVvu3LlJSPjnydgTJ46TK5fbA59yNBgMuLq6Wj47OztjMpkA+PTTNfj4+FCjRs20noqIiIiIiIiI2CHLFhOvX7/O3LlzCQsLs7RdunSJbt26MW3aNF544QW7xw4MDOTAgQNcuHDBqv3HH38kR44c5M//4Omf9ujatSvz5s3j2jVNUZbM8fnnn3Ls2FEGDhxqU/82bdqzefNGfvzxBxITb/DNN1/x00+7efnlhpY+J08ew83NnWHD3ubll+vQoEFtRo16l7/++svSp2zZAPbv38u5c2c5fDiGU6dO4u9fnsTEGyxZspA33+yX4ecqIiIiIiIiIqnLssXEVatW4e3tjZ+fn6Xt8OHDeHh48MUXX1C+fHm7xw4ICKBAgQIpnk7ctGkToaGhKZ5MXLduHc2aNSMgIIAKFSrQqVMnDh8+bNkeHBxMZGQk/fr1o2LFilSvXp1x48ZZTWv28/PD29ubVatW2R23iL3++OMPpk0L5623hpI7d26b9mnZsg3+/uUZPLg/L79clw8+GMErrzSiffvXLX1OnDjOn39eonTpMkycOJW+fQeyf/8++vbtwd9//w1AvXoh1KlTj06dWtO/f0+6deuFn19pli6NokKFSvj6lmbGjCm0b9+CUaPeJT4+/hFcARERERERERGBLFxM3Lp1K/Xq1bNqCw4OZvLkyRQuXDjd44eGhloVE+/cucPWrVtp1KiRVb8tW7YwatQoOnfuzFdffcXixYu5desWw4cPt+o3Y8YMqlatyqeffkq/fv1YsmQJGzZssOpTt25dtm/fnu7YRdLCbDYzbNgwatasRd26ITbtc+fOHXr37s6JE8cYPPhdZsyYS/fub7J169dMnTrJ0m/YsFFERkbRqVMXypevSNOmzfnww4/4/fdzbN68Ebg7zfntt4exZctOvvlmB+3bv86ff15m/fo19OjRm/Xr17Bnz498+OFEHBwcmTRp/CO5DiIiIiIiIiKSRd/mbDKZiImJoV27do/sGKGhoSxYsIALFy6QP39+vv/+ezw9PSlTpoxVv9y5c/Phhx/SrFkzAAoWLEirVq0YNWqUVb/atWvz+ut3n9gqWrQoa9euZd++fZb9AHx9fVmyZAkmkwkHhyxbB5YnhKPj3Rxbt241x44d45NP1gB31yr85+Hbu7n433zctu3/iI09wfTps6lWrToAVatWxcPDnUmTPqJZs9coUaIkFSpUSHHcSpUqkStXLk6dOoGT0z/jOjlls/y8cOFcXnrpZYoVK8bEiWMJDW1EqVIladu2PT16dMFgMOPo6Jhh10Lsdy+P7v0uYivljthLuSPpofwReyl3xF7KHUmPzMqfLFlMjI+PJykpCS8vr0d2jHLlylG4cGE2b95Mly5d2LRpE40bN07Rr2rVqnh5eREREcHZs2c5ffo0v/76q+UFEvcUL17c6rObmxtJSUlWbV5eXiQnJxMfH/9Iz00EwN09OwDffbeduLg4QkPrp+gTFFSNvn370q+f9bqF165dAaBOnZpky/ZPEbBOnSAmTfqIP/88j69vMb755hsqVKhAiRIlLH3MZjPJycl4e+fF0zNnimOeOHGCbdu2sHnzZjw9c3LtWjz58+fD0zMnhQp5YzQagTt4ej6XEZdBMsi9fBJJK+WO2Eu5I+mh/BF7KXfEXsodSY/HnT9Zsph4z38Ldhnt3lTn9u3bs23bNtasWZOiz8aNGxkyZAiNGzcmICCAli1bcvz4cT744AOrfi4uLin2NZvNVp/vnY+eSpTHISHhb4xGE2+/PQyDIZnExNuYTHdzcv78uRw79isffzyV557LS1xcotW++fIVAODbb3dRvXqgpX3Xrt0AuLvnITHxDqNHjyYkpAGjRo2x9Pnuu//j1q1blClTPsW4AOPHT6BVqza4uOQiLi4RD4/cnDt3nri4RE6dOoejoyNms3Oq+8rj5+jogLt7dks+idhKuSP2Uu5Ieih/xF7KHbGXckfSI7354+6e3a6nGrNkMdHLywsXFxfi4uIe6XFCQ0OJjIxk7dq1FC5cOMXThQBz5syhZcuWjB492tK2bds24G6x8L8va3mQq1ev4uLiYvMLMETSw2g0kZxsonDh5/H0zElcXCLJyXdvTu7uHjg5OVOy5N0XHF27lsDp06cpWLAQnp6eBAbWpkyZcowa9R5hYT0pUqQohw/HsGTJAmrVqo2v793lANq3f52oqPnkzu1F9eqBxMaeYOHCSGrWDKJSpaqW492zf/9eDh06xHvvjbFsq1GjFp9+upYSJUqxdu1KatSoCTik2Fcy1718Ekkr5Y7YS7kj6aH8EXspd8Reyh1Jj8edP1mymAh337gcExNjtebgwxiNRq5evYqbm5vV1Mz7KV26NEWKFCE8PJyePXum2id//vzs27ePw4cP4+bmxvbt21m2bBlw9yUVrq6uNsd35MiRdL2FWuRROXbsKP3792LYsFE0bNgER0dHpkyZSWRkBFFR87l+PYECBQry+uthtG3bwbJf16498PT04rPP1rJu3Wo8PDxo2rQ5YWGp//cUETGdjh074+bmZmlr1aodp0+fYvTo4fj6lubdd0c+8vMVEREREREReVZl2WJi/fr1Wb9+fZr2uXDhAiEhIYwfP57mzZvbtE9oaCizZ8+mYcOGqW4fMWIEI0eOpGPHjri4uODn58fEiRMZOHAgBw4coFq1ajbH9+OPP9KiRQub+4s8KsOHv2/1uVKlKuzaFW3VljNnLgYOHMLAgUPuO46DgwMtWrSmRYvWNh133rzFKdpcXV0ZMeKDVHqLiIiIiIiISEYzmP+7MF8Wce3aNYKDg4mKisLf39/m/ebPn0+BAgXuWxzMLAcPHqRLly5s374dDw8Pu8cZEP4tsX9cy8DIJKspXtCDqYPqWqY1Ozk5pJjmLGIr5Y/YS7kj9lLuSHoof8Reyh2xl3JH0iO9+ePlldOuNROz7Js8PDw8CAsLIyoqyuZ9bty4waZNmwgMDHx458csKiqKrl27pquQKCIiIiIiIiIikh5ZdpozQPfu3WnXrh0HDx4kICDgof1z5crFypUrU32zcmY6ePAgZ86c4aOPPkr3WIW83R7eSZ5pyhERERERERERuZ8sXUx0dnZm7dq1adrnSSskwt2XyaR1/cfUmM1mBneonAERSVZnNJowmbLkCggiIiIiIiIikg5Zupgo1gwGAwkJf2M0ah0GeTCTyaxiooiIiIiIiIikoGLiM8ZoNGlRVxERERERERERsUuWfQGLiIiIiIiIiIiIZCwVE0VERERERERERMQmKiaKiIiIiIiIiIiITVRMFBEREREREREREZsYzGazXtn6DNGbnMUejo4Oyh2xm/JH7KXcEXspdyQ9lD9iL+WO2Eu5I+mRnvxxcDBgMBjSvJ+KiSIiIiIiIiIiImITTXMWERERERERERERm6iYKCIiIiIiIiIiIjZRMVFERERERERERERsomKiiIiIiIiIiIiI2ETFRBEREREREREREbGJiokiIiIiIiIiIiJiExUTRURERERERERExCYqJoqIiIiIiIiIiIhNVEwUERERERERERERm6iYKCIiIiIiIiIiIjZRMVFERERERERERERsomKiiIiIiIiIiIiI2ETFRBEREREREREREbGJionPAJPJxPTp06lduzbly5ena9eunD17NrPDkqfAH3/8ga+vb4pfa9asyezQ5AkWERFBp06drNp+/fVXOnbsSIUKFahbty4LFizIpOjkSZZa7rz77rsp7kEvvvhiJkUoT5L4+HhGjhzJiy++SKVKlWjXrh3R0dGW7brvyIM8LH9075H7uXLlCm+//TY1atSgYsWK9OjRg5MnT1q2694j9/Ow3NF9R2xx+vRpKlasyPr16y1tmXHfcXrkR5BMFxERwcqVKxk/fjze3t58/PHHdO/enQ0bNuDi4pLZ4ckT7NixY7i6urJ161YMBoOl3c3NLROjkidZVFQU06dPp2rVqpa2uLg4unTpQv369Rk9ejS//PILo0ePJnfu3LRo0SITo5UnSWq5A3fvQ7169aJjx46WNkdHx8cdnjyBBg0axJUrVwgPD8fLy4tPPvmEsLAw1q9fj5eXl+478kAPyp/ixYvr3iP39eabb+Lg4MC8efPIkSMH06ZNo3PnzmzZsoVbt27p3iP39aDcyZ49u+478lBJSUkMHjyYmzdvWtoy6/+1VEzM4u7cucPChQt5++23qVOnDgBTpkyhdu3abNmyhUaNGmVyhPIkO378OC+88AL58uXL7FDkCXfp0iWGDx/O3r17eeGFF6y2rV69GhcXF95//32cnJwoXrw4Z8+eZd68efpiLQ/MHaPRyMmTJ+nduzd58+bNpAjlSXT27Fm+//57VqxYQaVKlQAYPnw4O3bsYMOGDWTLlk33Hbmvh+VP3759de+RVMXFxVGoUCHefPNNSpYsCUDv3r1p2rQpJ06cYPfu3br3SKoeljtly5bVfUceasaMGeTMmdOqLbP+X0vTnLO4o0ePkpiYSI0aNSxt7u7ulClThj179mRiZPI0OHbsGCVKlMjsMOQpcPjwYTw8PPjiiy8oX7681bbo6GiqVq2Kk9M//35Vo0YNTp8+zZUrVx53qPKEeVDunDlzhtu3b1O8ePFMik6eVJ6enkRGRlKuXDlLm8FgwGw2c+3aNd135IEelj+698j9eHp6Eh4ebikG/fXXXyxYsAAfHx9KlCihe4/c18NyR/cdeZg9e/awatUqPvroI6v2zLrv6MnELO7ixYsA5M+f36o9X758XLhwITNCkqfI8ePHyZs3L+3bt+fMmTMUKVKE3r17U7t27cwOTZ4wwcHBBAcHp7rt4sWLlCpVyqrt3tOu58+fJ0+ePI88PnlyPSh3jh8/jsFgYPHixezYsQMHBwfq1KnDgAEDtNzCM87d3d0y4+Ker776inPnzhEUFMSUKVN035H7elj+6N4jthgxYoTliaDZs2eTI0cOfecRm6SWO7rvyIMkJCQwZMgQ3nvvvRS1ncy67+jJxCzu77//BkixNqKrqyu3b9/OjJDkKXHnzh3OnDnDjRs3GDBgAJGRkfj7+9O9e3d2796d2eHJU+TWrVup3oMA3YfkgU6cOIGDgwMFCxZkzpw5DB06lO+++47evXtjMpkyOzx5guzdu5dhw4YREhJCcHCw7juSJv/NH917xBZvvPEG69at49VXX6VPnz4cPnxY9x6xSWq5o/uOPMj7779PhQoVaNKkSYptmXXf0ZOJWVy2bNmAu4Whez/D3aTKnj17ZoUlTwEXFxf27NmDk5OT5eZUrlw5YmNjWbBgAYGBgZkcoTwtsmXLxp07d6za7v3FliNHjswISZ4S/fr1o3Pnzri7uwNQqlQp8ubNS5s2bTh06FCKadHybNq6dSuDBw+mfPnyhIeHA7rviO1Syx/de8QW95YCGjNmDL/88gvLli3TvUdsklrujBs3TvcdSdVnn31GdHQ0X375ZarbM+u+oycTs7h7j8BevnzZqv3y5cv4+PhkRkjyFMmRI0eKf+UoVaoUly5dyqSI5Gnk4+OT6j0IwNvbOzNCkqeEwWCwfKm+5940jnvLeMizbdmyZfTr148XX3yRefPmWf7hVPcdscX98kf3HrmfK1eusGHDBoxGo6XNwcGB4sWLW/7/SvceSc3Dckf3HbmfdevWceXKFerWrUvFihWpWLEiAKNGjaJRo0aZdt9RMTGL8/PzI1euXPz000+WtoSEBI4cOUKVKlUyMTJ50h09epSKFSsSHR1t1R4TE6OXskiaVK1alb1791p9edq9ezcvvPCC1g6SB3rrrbcICwuzajt06BCA7kPCJ598wpgxY+jQoQNTp061+scv3XfkYR6UP7r3yP1cvnyZt956i59//tnSlpSUxJEjRyhevLjuPXJfD8sd3XfkfiZNmsSmTZv47LPPLL8A+vfvT2RkZKbdd1RMzOJcXFzo2LEjkyZNYtu2bRw9epSBAwfi4+NDgwYNMjs8eYKVKlWKkiVLMnr0aKKjo4mNjWX8+PH88ssv9OrVK7PDk6dIixYtuHHjBsOHD+fkyZOsX7+exYsX07Nnz8wOTZ5wjRs35vvvv2f27NmcO3eO7777jmHDhtG4cWO97fAZd/r0acaNG0eDBg3o2bMnV65c4c8//+TPP//k+vXruu/IAz0sf3Tvkfvx8/MjKCjI8v34+PHjDB06lISEBDp37qx7j9zXw3JH9x25H29vb4oUKWL1CyBPnjwULFgw0+47BrPZbH6kR5BMZzQaCQ8PZ/369dy6dYuqVasycuRIChUqlNmhyRPu6tWrTJo0iR07dpCQkECZMmUYPHiwnmqVB3rnnXf4448/WLp0qaXt4MGDjB07liNHjpA3b166du1Kx44dMzFKeRKlljtff/01c+bM4dSpU7i5udGkSRMGDBhgWVhank1z5sxhypQpqW577bXXmDBhgu47cl+25I/uPXI/169fZ/LkyWzdupXr169TpUoV3nnnHUqWLAnoO4/c38NyR/cdsZWvry/jx4+nefPmQObcd1RMFBEREREREREREZtomrOIiIiIiIiIiIjYRMVEERERERERERERsYmKiSIiIiIiIiIiImITFRNFRERERERERETEJiomioiIiIiIiIiIiE1UTBQRERERERERERGbqJgoIiIiIvIAZrM5s0MQEREReWI4ZXYAIiIiIpJ1dOrUiZ9//tmqzdnZmeeee4569eoxYMAAPDw8Mim6tJs9ezbOzs5069Yts0MREREReSKomCgiIiIiGapMmTKMGjXK8jkpKYnDhw8THh7Or7/+yooVKzAYDJkYoe2mTp1K3759MzsMERERkSeGiokiIiIikqFy5cpFhQoVrNqqVq1KYmIi06dP58CBAym2i4iIiMjTQWsmioiIiMhjUa5cOQDOnz8PwNatW2nevDn+/v7UqlWLDz/8kJs3b1r6z5gxgwYNGjBz5kyqV69O/fr1iYuLw2w2s3z5cho1akRAQAANGjRg3rx5VmsbRkdH07FjR8qXL0+1atUYOnQoV69etWxfv349ZcqU4cCBA7Rp0wZ/f3/q1q3LvHnzLH18fX0BmDlzpuXne3G3b9+eihUrUq5cOV555RWWLVtmda6xsbF0796dSpUqUbNmTaZMmcK7775Lp06dLH1MJhORkZE0aNCAcuXK8fLLL7N06dKMuNQiIiIij4yKiSIiIiLyWJw+fRqAwoUL8+WXX9KnTx+KFSvGrFmz6Nu3L1988QW9e/e2KgqeP3+eLVu2EB4ezoABA/D09CQ8PJyxY8dSp04dZs+eTatWrZgyZQoREREA7Nmzh86dO5MtWzamTp3KsGHD+Pnnn3n99de5deuWZWyTycSAAQNo2LAhkZGRVK5cmUmTJrFz504AVq1aBUDLli0tP3/77bf06dOHsmXLEhERwYwZMyhYsCBjxoxh3759AFy9epWOHTty4cIFxo8fz3vvvcfmzZvZsGGD1fV4//33mT59Oq+++ipz5szhlVdeYdy4ccyaNesR/QmIiIiIpJ+mOYuIiIhIhjKbzSQnJ1s+X7t2jZ9//pnZs2dToUIFypUrR9++falduzaTJk2y9CtatCidO3fmu+++o27dugAkJyczdOhQatasCUBCQgKLFi2iU6dODBkyBIBatWpx9epV9u7dC8DkyZN54YUXmDt3Lo6OjgCUL1+eRo0asW7dOjp06GCJs3fv3rRq1QqAypUrs2XLFr799ltq165tmYrt4+Nj+fnkyZM0a9aM4cOHW+KuWLEi1atXZ8+ePVSqVImlS5eSmJjIZ599hre3t+X4L7/8smWf06dPs3r1agYNGkSPHj0ACAoKwmAwMHfuXNq3b4+np2f6/zBEREREMpiKiSIiIiKSofbs2UPZsmWt2hwcHAgMDGTMmDGcOnWKixcv0rNnT6uiY9WqVcmVKxff/7/27iYkqj2M4/h3NEdzwkANrJTCqEWjRlbirpIiSHBXCxcSSFAImb1IBRUiUYuiFmZIpRiVRruCVrUJBKNERWhX0nsmTWLQQK93IR7u3Kw73bp5L3w/MHDe/uc856yGH/9znp6eIEwEWLJkSbA8MDDAhw8fWL9+fcL59+3bB0A8HmdwcJDa2tqEULOgoIBFixbR09MThIkwEQROCofDZGdnJ7xq/VeTXZ3fvXvH48ePGR4eZmhoCJhoNAPQ29vL8uXLgyARYP78+QnX6u3t5cuXL1RUVCQ8g4qKCs6cOUNfXx/r1q37Zh2SJEnTxTBRkiRJv1Q0GqWpqQmAUChEeno6c+fOZdasWQDBDMKmpqbguD979epVwnpubm6wPDY2BkB2dvaU1x4fH+fz58+cPXs24fuHk9LT0xPWMzIyEtZTUlISXrP+q1gsxuHDh7l58yahUIgFCxawYsUKgGBcLBb7KkwFmDNnDqOjown3UVlZOeV1RkZGvlmDJEnSdDJMlCRJ0i8ViUQoLi7+5v6srCwAGhsbKSsr+2r/7Nmz/3ZsLBajsLAw2P7ixQsePXpEUVERoVCILVu2TBnUzZw5M+n7mMqePXt48OABHR0dlJaWEg6HicfjXL16NTgmLy+P169ffzX2z9sm76Ozs5NIJPLVsfPmzfupOiVJkv4tNmCRJEnSb1VYWEhOTg5Pnz6luLg4+OXl5XHixAnu37//zbElJSWkpaVx69athO2dnZ3U19eTkZHB0qVLefjwYcK5Fy9eTEtLC3fu3PmhWlNSEv8u9/X1sWHDBsrLywmHwwDcvn0bx6XvHwAAAptJREFUmGjoAhOva/f39wezEAFGR0cZGBgI1letWgXAmzdvEuocGxvj1KlTwcxFSZKk/xpnJkqSJOm3Sk1NpaGhgUOHDpGamsratWsZHx+ntbWVkZGRKV8RnpSdnU1NTQ2dnZ2Ew2HKy8sZGhri4sWL7Nq1ixkzZgRNTXbv3k1VVRWfPn2ivb2dwcFBtm/f/kO1ZmVl0d/fz927d1m5ciUlJSVcv36daDRKXl4e/f39tLW1EQqFiMfjANTU1HDp0iVqa2upq6sD4PTp07x//55QKARMfAeyqqqKgwcP8uzZM4qKihgeHubkyZPk5+ezcOHCf/ZwJUmS/mWGiZIkSfrtNm3aRCQS4dy5c1y5coXMzExKS0s5fvw4BQUF3x27d+9ecnNz6erqor29nfz8fA4cOEB1dTUw0RX5/PnztLS0sGPHDtLS0ohGo3R0dARdmZO1bds2Wltb2bp1Kzdu3ODYsWM0NzfT3NwMTHSgbmpq4tq1a9y7dw+YCCAvXLjAkSNHaGxsJBKJUF1dTWZmJpmZmcG5jx49SltbG93d3bx8+ZKcnBw2btzIzp07gy7UkiRJ/zWhL9/7wrQkSZKkHzI4OMjY2BirV68Otn38+JE1a9ZQWVnJ/v37p7E6SZKkn+PMREmSJOkXev78OQ0NDdTV1VFWVkY8Hqe7u5u3b9+yefPm6S5PkiTppzgzUZIkSfrFurq6uHz5Mk+ePCEtLY1ly5ZRX1//3S7XkiRJ/weGiZIkSZIkSZKSkjLdBUiSJEmSJEn6fzBMlCRJkiRJkpQUw0RJkiRJkiRJSTFMlCRJkiRJkpQUw0RJkiRJkiRJSTFMlCRJkiRJkpQUw0RJkiRJkiRJSTFMlCRJkiRJkpQUw0RJkiRJkiRJSfkDvN7ih7KveeYAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dane['Gender'] = dane['Gender'].replace({1: 'Man', 2: 'Woman'})\n",
    "Genetic_risk_counts = dane.groupby(['Genetic Risk', 'Gender']).size()\n",
    "Genetic_risk_percentages= Genetic_risk_counts / Genetic_risk_counts.groupby('Gender').sum() * 100\n",
    "\n",
    "Genetic_risk_percentages_sorted = Genetic_risk_percentages.sort_index(level='Genetic Risk', sort_remaining=False)\n",
    "\n",
    "plt.figure(figsize=(15, 6))\n",
    "\n",
    "# Tworzenie wykresu słupkowego poziomego\n",
    "ax = Genetic_risk_percentages_sorted.plot(kind='barh')\n",
    "\n",
    "# Dodawanie wartości procentowych do słupków\n",
    "for i, value in enumerate(Genetic_risk_percentages_sorted):\n",
    "    ax.text(value + 0.1, i, f'{value:.2f}%', ha='left', va='center')\n",
    "\n",
    "# Dodanie legendy\n",
    "plt.legend()\n",
    "\n",
    "# Ustawienia etykiet i tytułów\n",
    "plt.xlabel('Percentage')\n",
    "plt.ylabel('Genetic risk, Gender')\n",
    "plt.title('Distribution of genetic risk by gender (%)')\n",
    "\n",
    "# Wyświetlenie wykresu\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "id": "818e4ee5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "Genetic_risk_counts = dane.groupby(['Genetic Risk', 'Level']).size()\n",
    "\n",
    "# Sortowanie danych według ryzyka genetycznego i liczby w odwrotnej kolejności\n",
    "Genetic_risk_counts_sorted = Genetic_risk_counts.sort_index(level=['Genetic Risk', 'Level'], key=lambda x: x.map({'High': 1, 'Medium': 2, 'Low': 3}))\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "# Tworzenie wykresu słupkowego horyzontalnego\n",
    "ax = Genetic_risk_counts_sorted.plot(kind='barh')\n",
    "\n",
    "# Dodawanie wartości do słupków\n",
    "for i, value in enumerate(Genetic_risk_counts_sorted):\n",
    "    ax.text(value + 0.1, i, str(value), ha='left', va='center')\n",
    "\n",
    "# Ustawienia etykiet i tytułów\n",
    "plt.xlabel('Count')\n",
    "plt.ylabel('Genetic Risk, Level')\n",
    "plt.title('Distribution of level by genetic risk')\n",
    "\n",
    "# Wyświetlenie wykresu\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "id": "18002f3f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Smoking    3.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 228,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dane[['Smoking']].median()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "id": "f21f91ec",
   "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>Smoking</th>\n",
       "      <th>Alcohol use</th>\n",
       "      <th>Level</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>993</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>256 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Smoking  Alcohol use Level\n",
       "index                            \n",
       "4            8            8  High\n",
       "20           8            8  High\n",
       "22           8            8  High\n",
       "46           8            8  High\n",
       "68           8            8  High\n",
       "...        ...          ...   ...\n",
       "989          7            7  High\n",
       "992          7            7  High\n",
       "993          7            7  High\n",
       "994          7            7  High\n",
       "995          7            7  High\n",
       "\n",
       "[256 rows x 3 columns]"
      ]
     },
     "execution_count": 229,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "\n",
    "x = dane[(dane['Level'] == 'High') & (dane['Smoking'] >=7) & (dane['Alcohol use'] >= 7)]\n",
    "x_sorted = x[['Smoking', 'Alcohol use', 'Level']].sort_values(by=['Smoking', 'Alcohol use'], ascending=False)\n",
    "x_sorted\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "id": "f10041ca",
   "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>Smoking</th>\n",
       "      <th>Alcohol use</th>\n",
       "      <th>Level</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>993</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>256 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Smoking  Alcohol use Level\n",
       "index                            \n",
       "4            8            8  High\n",
       "20           8            8  High\n",
       "22           8            8  High\n",
       "46           8            8  High\n",
       "68           8            8  High\n",
       "...        ...          ...   ...\n",
       "989          7            7  High\n",
       "992          7            7  High\n",
       "993          7            7  High\n",
       "994          7            7  High\n",
       "995          7            7  High\n",
       "\n",
       "[256 rows x 3 columns]"
      ]
     },
     "execution_count": 230,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = dane[(dane['Smoking'] >= 7) & (dane['Alcohol use'] >= 7)]\n",
    "x_sorted = x[['Smoking', 'Alcohol use', 'Level']].sort_values(by=['Smoking', 'Alcohol use'], ascending=False)\n",
    "x_sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "id": "15eebd5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Air Pollution\n",
       "8     19\n",
       "5     20\n",
       "7     30\n",
       "4     90\n",
       "1    141\n",
       "3    173\n",
       "2    201\n",
       "6    326\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 231,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dane7 = dane['Air Pollution'].value_counts()\n",
    "dane7.sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "id": "9bd91fc9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "air_pollution = dane.groupby(['Air Pollution', 'Level']).size()\n",
    "\n",
    "# Sortowanie danych według ryzyka genetycznego i liczby w odwrotnej kolejności\n",
    "air_pollution_sorted = air_pollution.sort_index(level=['Air Pollution', 'Level'], key=lambda x: x.map({'High': 1, 'Medium': 2, 'Low': 3}))\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "# Tworzenie wykresu słupkowego horyzontalnego\n",
    "ax = air_pollution_sorted.plot(kind='barh')\n",
    "\n",
    "# Dodawanie wartości do słupków\n",
    "for i, value in enumerate(air_pollution_sorted):\n",
    "    ax.text(value + 0.1, i, str(value), ha='left', va='center')\n",
    "\n",
    "# Ustawienia etykiet i tytułów\n",
    "plt.xlabel('Count')\n",
    "plt.ylabel('Air Pollution, Level')\n",
    "plt.title('Distribution of level by air pollution')\n",
    "\n",
    "# Wyświetlenie wykresu\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "id": "402f9c5a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = dane.drop(['Patient Id', 'Level'], axis=1)\n",
    "\n",
    "# Stworzenie macierzy korelacji\n",
    "corr_matrix = data.corr()\n",
    "\n",
    "# Stworzenie wykresu heatmapy\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.heatmap(corr_matrix, annot=False, cmap='coolwarm', fmt='.2f')\n",
    "\n",
    "# Dodanie tytułu\n",
    "plt.title('Heatmap of Correlation Matrix')\n",
    "\n",
    "# Wyświetlenie wykresu\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "00915ec0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import sklearn "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8388706b",
   "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>Patient Id</th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Air Pollution</th>\n",
       "      <th>Alcohol use</th>\n",
       "      <th>Dust Allergy</th>\n",
       "      <th>OccuPational Hazards</th>\n",
       "      <th>Genetic Risk</th>\n",
       "      <th>chronic Lung Disease</th>\n",
       "      <th>Balanced Diet</th>\n",
       "      <th>...</th>\n",
       "      <th>Fatigue</th>\n",
       "      <th>Weight Loss</th>\n",
       "      <th>Shortness of Breath</th>\n",
       "      <th>Wheezing</th>\n",
       "      <th>Swallowing Difficulty</th>\n",
       "      <th>Clubbing of Finger Nails</th>\n",
       "      <th>Frequent Cold</th>\n",
       "      <th>Dry Cough</th>\n",
       "      <th>Snoring</th>\n",
       "      <th>Level</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>P1</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>Low</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>P10</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>Medium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>P100</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>P1000</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>P101</td>\n",
       "      <td>46</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>P995</td>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>P996</td>\n",
       "      <td>37</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>P997</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>P998</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>P999</td>\n",
       "      <td>47</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Patient Id  Age  Gender  Air Pollution  Alcohol use  Dust Allergy  \\\n",
       "index                                                                     \n",
       "0             P1   33       1              2            4             5   \n",
       "1            P10   17       1              3            1             5   \n",
       "2           P100   35       1              4            5             6   \n",
       "3          P1000   37       1              7            7             7   \n",
       "4           P101   46       1              6            8             7   \n",
       "...          ...  ...     ...            ...          ...           ...   \n",
       "995         P995   44       1              6            7             7   \n",
       "996         P996   37       2              6            8             7   \n",
       "997         P997   25       2              4            5             6   \n",
       "998         P998   18       2              6            8             7   \n",
       "999         P999   47       1              6            5             6   \n",
       "\n",
       "       OccuPational Hazards  Genetic Risk  chronic Lung Disease  \\\n",
       "index                                                             \n",
       "0                         4             3                     2   \n",
       "1                         3             4                     2   \n",
       "2                         5             5                     4   \n",
       "3                         7             6                     7   \n",
       "4                         7             7                     6   \n",
       "...                     ...           ...                   ...   \n",
       "995                       7             7                     6   \n",
       "996                       7             7                     6   \n",
       "997                       5             5                     4   \n",
       "998                       7             7                     6   \n",
       "999                       5             5                     4   \n",
       "\n",
       "       Balanced Diet  ...  Fatigue  Weight Loss  Shortness of Breath  \\\n",
       "index                 ...                                              \n",
       "0                  2  ...        3            4                    2   \n",
       "1                  2  ...        1            3                    7   \n",
       "2                  6  ...        8            7                    9   \n",
       "3                  7  ...        4            2                    3   \n",
       "4                  7  ...        3            2                    4   \n",
       "...              ...  ...      ...          ...                  ...   \n",
       "995                7  ...        5            3                    2   \n",
       "996                7  ...        9            6                    5   \n",
       "997                6  ...        8            7                    9   \n",
       "998                7  ...        3            2                    4   \n",
       "999                6  ...        8            7                    9   \n",
       "\n",
       "       Wheezing  Swallowing Difficulty  Clubbing of Finger Nails  \\\n",
       "index                                                              \n",
       "0             2                      3                         1   \n",
       "1             8                      6                         2   \n",
       "2             2                      1                         4   \n",
       "3             1                      4                         5   \n",
       "4             1                      4                         2   \n",
       "...         ...                    ...                       ...   \n",
       "995           7                      8                         2   \n",
       "996           7                      2                         4   \n",
       "997           2                      1                         4   \n",
       "998           1                      4                         2   \n",
       "999           2                      1                         4   \n",
       "\n",
       "       Frequent Cold  Dry Cough  Snoring   Level  \n",
       "index                                             \n",
       "0                  2          3        4     Low  \n",
       "1                  1          7        2  Medium  \n",
       "2                  6          7        2    High  \n",
       "3                  6          7        5    High  \n",
       "4                  4          2        3    High  \n",
       "...              ...        ...      ...     ...  \n",
       "995                4          5        3    High  \n",
       "996                3          1        4    High  \n",
       "997                6          7        2    High  \n",
       "998                4          2        3    High  \n",
       "999                6          7        2    High  \n",
       "\n",
       "[1000 rows x 25 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f02e1f34",
   "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>Patient Id</th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Air Pollution</th>\n",
       "      <th>Alcohol use</th>\n",
       "      <th>Dust Allergy</th>\n",
       "      <th>OccuPational Hazards</th>\n",
       "      <th>Genetic Risk</th>\n",
       "      <th>chronic Lung Disease</th>\n",
       "      <th>Balanced Diet</th>\n",
       "      <th>...</th>\n",
       "      <th>Fatigue</th>\n",
       "      <th>Weight Loss</th>\n",
       "      <th>Shortness of Breath</th>\n",
       "      <th>Wheezing</th>\n",
       "      <th>Swallowing Difficulty</th>\n",
       "      <th>Clubbing of Finger Nails</th>\n",
       "      <th>Frequent Cold</th>\n",
       "      <th>Dry Cough</th>\n",
       "      <th>Snoring</th>\n",
       "      <th>Level</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>P1</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>P10</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>P100</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>P1000</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>P101</td>\n",
       "      <td>46</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Patient Id  Age  Gender  Air Pollution  Alcohol use  Dust Allergy  \\\n",
       "index                                                                     \n",
       "0             P1   33       1              2            4             5   \n",
       "1            P10   17       1              3            1             5   \n",
       "2           P100   35       1              4            5             6   \n",
       "3          P1000   37       1              7            7             7   \n",
       "4           P101   46       1              6            8             7   \n",
       "\n",
       "       OccuPational Hazards  Genetic Risk  chronic Lung Disease  \\\n",
       "index                                                             \n",
       "0                         4             3                     2   \n",
       "1                         3             4                     2   \n",
       "2                         5             5                     4   \n",
       "3                         7             6                     7   \n",
       "4                         7             7                     6   \n",
       "\n",
       "       Balanced Diet  ...  Fatigue  Weight Loss  Shortness of Breath  \\\n",
       "index                 ...                                              \n",
       "0                  2  ...        3            4                    2   \n",
       "1                  2  ...        1            3                    7   \n",
       "2                  6  ...        8            7                    9   \n",
       "3                  7  ...        4            2                    3   \n",
       "4                  7  ...        3            2                    4   \n",
       "\n",
       "       Wheezing  Swallowing Difficulty  Clubbing of Finger Nails  \\\n",
       "index                                                              \n",
       "0             2                      3                         1   \n",
       "1             8                      6                         2   \n",
       "2             2                      1                         4   \n",
       "3             1                      4                         5   \n",
       "4             1                      4                         2   \n",
       "\n",
       "       Frequent Cold  Dry Cough  Snoring  Level  \n",
       "index                                            \n",
       "0                  2          3        4      1  \n",
       "1                  1          7        2      2  \n",
       "2                  6          7        2      3  \n",
       "3                  6          7        5      3  \n",
       "4                  4          2        3      3  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = dane.replace({'Level':{'High' : 3, 'Medium' : 2, 'Low' : 1}})\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "52632684",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sklearn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a47f580a",
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.seed(10)\n",
    "np.set_printoptions(precision=6, suppress=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7caae544",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Y shape: (1000,)\n",
      "X shape: (1000, 23)\n"
     ]
    }
   ],
   "source": [
    "X = data.drop(['Level', 'Patient Id'], axis=1)\n",
    "y = data['Level']\n",
    "\n",
    "\n",
    "print(\"Y shape:\", y.shape)\n",
    "print(\"X shape:\", X.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9139408a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split (X, y)\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2f45152a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_train shape: (750, 23)\n",
      "y_train shape: (750,)\n",
      "X_test shape: (250, 23)\n",
      "y_test shape: (250,)\n"
     ]
    }
   ],
   "source": [
    "print(\"X_train shape:\", X_train.shape)\n",
    "print(\"y_train shape:\", y_train.shape)\n",
    "print(\"X_test shape:\", X_test.shape)\n",
    "print(\"y_test shape:\", y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8ba2674d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\HP\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "LogisticRegression()"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "classifier = LogisticRegression()\n",
    "classifier.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ba0a5bda",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.019763, 0.980237, 0.      ],\n",
       "       [0.      , 0.      , 1.      ],\n",
       "       [0.      , 0.000002, 0.999998],\n",
       "       [0.999979, 0.000021, 0.      ],\n",
       "       [0.      , 0.000038, 0.999962],\n",
       "       [0.000022, 0.983401, 0.016577],\n",
       "       [0.      , 0.023981, 0.976019],\n",
       "       [0.025065, 0.943631, 0.031305],\n",
       "       [0.      , 0.011278, 0.988722],\n",
       "       [0.077079, 0.922921, 0.      ],\n",
       "       [0.000003, 0.000326, 0.999672],\n",
       "       [0.000473, 0.999527, 0.      ],\n",
       "       [0.16753 , 0.83247 , 0.      ],\n",
       "       [0.995731, 0.004269, 0.      ],\n",
       "       [0.949387, 0.050613, 0.      ],\n",
       "       [0.21037 , 0.78963 , 0.      ],\n",
       "       [0.      , 0.      , 1.      ],\n",
       "       [0.91181 , 0.045917, 0.042272],\n",
       "       [0.      , 0.002178, 0.997822],\n",
       "       [0.984437, 0.015558, 0.000005],\n",
       "       [0.      , 0.002066, 0.997934],\n",
       "       [0.99922 , 0.00078 , 0.      ],\n",
       "       [0.      , 0.000298, 0.999702],\n",
       "       [0.      , 0.004236, 0.995764],\n",
       "       [0.      , 0.000004, 0.999996],\n",
       "       [0.238042, 0.760375, 0.001583],\n",
       "       [0.025065, 0.943631, 0.031305],\n",
       "       [0.99808 , 0.001917, 0.000003],\n",
       "       [0.997777, 0.002223, 0.      ],\n",
       "       [0.238042, 0.760375, 0.001583],\n",
       "       [0.913746, 0.086254, 0.      ],\n",
       "       [0.002141, 0.997859, 0.      ],\n",
       "       [0.      , 0.004236, 0.995764],\n",
       "       [0.99922 , 0.00078 , 0.      ],\n",
       "       [0.00192 , 0.99808 , 0.      ],\n",
       "       [0.      , 0.012453, 0.987547],\n",
       "       [0.00145 , 0.99855 , 0.      ],\n",
       "       [0.      , 0.      , 1.      ],\n",
       "       [0.00248 , 0.99752 , 0.      ],\n",
       "       [0.998712, 0.000937, 0.000351],\n",
       "       [0.238042, 0.760375, 0.001583],\n",
       "       [0.001213, 0.97811 , 0.020677],\n",
       "       [0.      , 0.      , 1.      ],\n",
       "       [0.015839, 0.984161, 0.      ],\n",
       "       [0.      , 0.023981, 0.976019],\n",
       "       [0.000003, 0.000326, 0.999672],\n",
       "       [0.930462, 0.069418, 0.000121],\n",
       "       [0.      , 0.002178, 0.997822],\n",
       "       [0.      , 0.000003, 0.999997],\n",
       "       [0.001321, 0.998655, 0.000024],\n",
       "       [0.001178, 0.998807, 0.000014],\n",
       "       [0.00035 , 0.99965 , 0.      ],\n",
       "       [0.05124 , 0.948155, 0.000606],\n",
       "       [0.      , 0.      , 1.      ],\n",
       "       [0.001321, 0.998655, 0.000024],\n",
       "       [0.      , 0.      , 1.      ],\n",
       "       [0.      , 0.004285, 0.995715],\n",
       "       [0.000004, 0.02071 , 0.979285],\n",
       "       [0.969283, 0.030717, 0.      ],\n",
       "       [0.000063, 0.040843, 0.959093],\n",
       "       [0.      , 0.002066, 0.997934],\n",
       "       [0.942577, 0.018654, 0.038768],\n",
       "       [0.      , 0.000002, 0.999998],\n",
       "       [0.870813, 0.129142, 0.000044],\n",
       "       [0.      , 0.      , 1.      ],\n",
       "       [0.913746, 0.086254, 0.      ],\n",
       "       [0.000637, 0.999363, 0.      ],\n",
       "       [0.      , 0.000003, 0.999997],\n",
       "       [0.      , 0.000298, 0.999702],\n",
       "       [0.029989, 0.970011, 0.      ],\n",
       "       [0.994782, 0.000846, 0.004371],\n",
       "       [0.999889, 0.000075, 0.000035],\n",
       "       [0.947557, 0.052443, 0.      ],\n",
       "       [0.029989, 0.970011, 0.      ],\n",
       "       [0.129826, 0.870174, 0.      ],\n",
       "       [0.055579, 0.94417 , 0.000251],\n",
       "       [0.002141, 0.997859, 0.      ],\n",
       "       [0.001398, 0.9986  , 0.000002],\n",
       "       [0.      , 0.000062, 0.999938],\n",
       "       [0.99808 , 0.001917, 0.000003],\n",
       "       [0.      , 0.000004, 0.999996],\n",
       "       [0.969283, 0.030717, 0.      ],\n",
       "       [0.      , 0.004236, 0.995764],\n",
       "       [0.001178, 0.998807, 0.000014],\n",
       "       [0.      , 0.      , 1.      ],\n",
       "       [0.      , 0.014023, 0.985977],\n",
       "       [0.      , 0.      , 1.      ],\n",
       "       [0.033577, 0.966423, 0.      ],\n",
       "       [0.99808 , 0.001917, 0.000003],\n",
       "       [0.      , 0.000062, 0.999938],\n",
       "       [0.099592, 0.900408, 0.      ],\n",
       "       [0.000177, 0.999787, 0.000036],\n",
       "       [0.997699, 0.002301, 0.      ],\n",
       "       [0.930462, 0.069418, 0.000121],\n",
       "       [0.00248 , 0.99752 , 0.      ],\n",
       "       [0.00248 , 0.99752 , 0.      ],\n",
       "       [0.238042, 0.760375, 0.001583],\n",
       "       [0.101768, 0.898232, 0.      ],\n",
       "       [0.029989, 0.970011, 0.      ],\n",
       "       [0.98255 , 0.01745 , 0.      ],\n",
       "       [0.      , 0.004285, 0.995715],\n",
       "       [0.000332, 0.999668, 0.      ],\n",
       "       [0.999328, 0.000672, 0.      ],\n",
       "       [0.      , 0.023981, 0.976019],\n",
       "       [0.997777, 0.002223, 0.      ],\n",
       "       [0.949387, 0.050613, 0.      ],\n",
       "       [0.930462, 0.069418, 0.000121],\n",
       "       [0.00028 , 0.99972 , 0.      ],\n",
       "       [0.      , 0.004236, 0.995764],\n",
       "       [0.      , 0.      , 1.      ],\n",
       "       [0.998712, 0.000937, 0.000351],\n",
       "       [0.      , 0.000038, 0.999962],\n",
       "       [0.000898, 0.99788 , 0.001222],\n",
       "       [0.91181 , 0.045917, 0.042272],\n",
       "       [0.984437, 0.015558, 0.000005],\n",
       "       [0.000003, 0.000326, 0.999672],\n",
       "       [0.099592, 0.900408, 0.      ],\n",
       "       [0.033577, 0.966423, 0.      ],\n",
       "       [0.969283, 0.030717, 0.      ],\n",
       "       [0.999328, 0.000672, 0.      ],\n",
       "       [0.      , 0.      , 1.      ],\n",
       "       [0.      , 0.008068, 0.991932],\n",
       "       [0.      , 0.000298, 0.999702],\n",
       "       [0.003572, 0.996428, 0.      ],\n",
       "       [0.997777, 0.002223, 0.      ],\n",
       "       [0.      , 0.000002, 0.999998],\n",
       "       [0.000063, 0.040843, 0.959093],\n",
       "       [0.947557, 0.052443, 0.      ],\n",
       "       [0.907855, 0.092061, 0.000084],\n",
       "       [0.00145 , 0.99855 , 0.      ],\n",
       "       [0.101768, 0.898232, 0.      ],\n",
       "       [0.      , 0.009143, 0.990857],\n",
       "       [0.861344, 0.134685, 0.00397 ],\n",
       "       [0.      , 0.004236, 0.995764],\n",
       "       [0.990975, 0.009025, 0.      ],\n",
       "       [0.870813, 0.129142, 0.000044],\n",
       "       [0.995587, 0.000049, 0.004364],\n",
       "       [0.      , 0.000298, 0.999702],\n",
       "       [0.942577, 0.018654, 0.038768],\n",
       "       [0.      , 0.000005, 0.999995],\n",
       "       [0.000898, 0.99788 , 0.001222],\n",
       "       [0.99808 , 0.001917, 0.000003],\n",
       "       [0.099592, 0.900408, 0.      ],\n",
       "       [0.099592, 0.900408, 0.      ],\n",
       "       [0.999979, 0.000021, 0.      ],\n",
       "       [0.995587, 0.000049, 0.004364],\n",
       "       [0.001398, 0.9986  , 0.000002],\n",
       "       [0.000003, 0.000326, 0.999672],\n",
       "       [0.999889, 0.000075, 0.000035],\n",
       "       [0.861344, 0.134685, 0.00397 ],\n",
       "       [0.000003, 0.000326, 0.999672],\n",
       "       [0.969283, 0.030717, 0.      ],\n",
       "       [0.238042, 0.760375, 0.001583],\n",
       "       [0.000977, 0.999023, 0.      ],\n",
       "       [0.002141, 0.997859, 0.      ],\n",
       "       [0.000005, 0.000077, 0.999918],\n",
       "       [0.997699, 0.002301, 0.      ],\n",
       "       [0.      , 0.004236, 0.995764],\n",
       "       [0.      , 0.      , 1.      ],\n",
       "       [0.999425, 0.000575, 0.      ],\n",
       "       [0.974593, 0.025407, 0.      ],\n",
       "       [0.002453, 0.997528, 0.000019],\n",
       "       [0.84426 , 0.15574 , 0.      ],\n",
       "       [0.000898, 0.99788 , 0.001222],\n",
       "       [0.949387, 0.050613, 0.      ],\n",
       "       [0.      , 0.000032, 0.999968],\n",
       "       [0.000332, 0.999668, 0.      ],\n",
       "       [0.99808 , 0.001917, 0.000003],\n",
       "       [0.05124 , 0.948155, 0.000606],\n",
       "       [0.999889, 0.000075, 0.000035],\n",
       "       [0.      , 0.      , 1.      ],\n",
       "       [0.099592, 0.900408, 0.      ],\n",
       "       [0.      , 0.000298, 0.999702],\n",
       "       [0.99808 , 0.001917, 0.000003],\n",
       "       [0.      , 0.000298, 0.999702],\n",
       "       [0.598003, 0.391491, 0.010506],\n",
       "       [0.002141, 0.997859, 0.      ],\n",
       "       [0.001321, 0.998655, 0.000024],\n",
       "       [0.129826, 0.870174, 0.      ],\n",
       "       [0.033577, 0.966423, 0.      ],\n",
       "       [0.101768, 0.898232, 0.      ],\n",
       "       [0.999979, 0.000021, 0.      ],\n",
       "       [0.870813, 0.129142, 0.000044],\n",
       "       [0.002453, 0.997528, 0.000019],\n",
       "       [0.129826, 0.870174, 0.      ],\n",
       "       [0.      , 0.000032, 0.999968],\n",
       "       [0.      , 0.004285, 0.995715],\n",
       "       [0.      , 0.000004, 0.999996],\n",
       "       [0.      , 0.000345, 0.999655],\n",
       "       [0.033577, 0.966423, 0.      ],\n",
       "       [0.055579, 0.94417 , 0.000251],\n",
       "       [0.99922 , 0.00078 , 0.      ],\n",
       "       [0.997699, 0.002301, 0.      ],\n",
       "       [0.      , 0.014023, 0.985977],\n",
       "       [0.      , 0.008068, 0.991932],\n",
       "       [0.998712, 0.000937, 0.000351],\n",
       "       [0.000637, 0.999363, 0.      ],\n",
       "       [0.001321, 0.998655, 0.000024],\n",
       "       [0.930462, 0.069418, 0.000121],\n",
       "       [0.001398, 0.9986  , 0.000002],\n",
       "       [0.002453, 0.997528, 0.000019],\n",
       "       [0.05124 , 0.948155, 0.000606],\n",
       "       [0.      , 0.      , 1.      ],\n",
       "       [0.001111, 0.998889, 0.      ],\n",
       "       [0.      , 0.000203, 0.999797],\n",
       "       [0.000063, 0.040843, 0.959093],\n",
       "       [0.930462, 0.069418, 0.000121],\n",
       "       [0.019763, 0.980237, 0.      ],\n",
       "       [0.033577, 0.966423, 0.      ],\n",
       "       [0.659404, 0.319765, 0.020831],\n",
       "       [0.      , 0.      , 1.      ],\n",
       "       [0.999979, 0.000021, 0.      ],\n",
       "       [0.      , 0.002178, 0.997822],\n",
       "       [0.      , 0.000085, 0.999915],\n",
       "       [0.974593, 0.025407, 0.      ],\n",
       "       [0.98255 , 0.01745 , 0.      ],\n",
       "       [0.000308, 0.999692, 0.      ],\n",
       "       [0.      , 0.      , 1.      ],\n",
       "       [0.974593, 0.025407, 0.      ],\n",
       "       [0.947557, 0.052443, 0.      ],\n",
       "       [0.913746, 0.086254, 0.      ],\n",
       "       [0.015839, 0.984161, 0.      ],\n",
       "       [0.974593, 0.025407, 0.      ],\n",
       "       [0.      , 0.      , 1.      ],\n",
       "       [0.129826, 0.870174, 0.      ],\n",
       "       [0.000177, 0.999787, 0.000036],\n",
       "       [0.238042, 0.760375, 0.001583],\n",
       "       [0.99808 , 0.001917, 0.000003],\n",
       "       [0.      , 0.      , 1.      ],\n",
       "       [0.001213, 0.97811 , 0.020677],\n",
       "       [0.      , 0.008068, 0.991932],\n",
       "       [0.999979, 0.000021, 0.      ],\n",
       "       [0.001398, 0.9986  , 0.000002],\n",
       "       [0.015839, 0.984161, 0.      ],\n",
       "       [0.      , 0.021595, 0.978405],\n",
       "       [0.002453, 0.997528, 0.000019],\n",
       "       [0.      , 0.000005, 0.999995],\n",
       "       [0.907855, 0.092061, 0.000084],\n",
       "       [0.974593, 0.025407, 0.      ],\n",
       "       [0.      , 0.000032, 0.999968],\n",
       "       [0.91181 , 0.045917, 0.042272],\n",
       "       [0.000898, 0.99788 , 0.001222],\n",
       "       [0.      , 0.002066, 0.997934],\n",
       "       [0.055579, 0.94417 , 0.000251],\n",
       "       [0.      , 0.014023, 0.985977],\n",
       "       [0.000029, 0.006112, 0.993859],\n",
       "       [0.      , 0.002178, 0.997822],\n",
       "       [0.      , 0.023981, 0.976019],\n",
       "       [0.999889, 0.000075, 0.000035],\n",
       "       [0.000308, 0.999692, 0.      ]])"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_prob = classifier.predict_proba(X_test)\n",
    "y_prob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "08f121e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2, 3, 3, 1, 3, 2, 3, 2, 3, 2, 3, 2, 2, 1, 1, 2, 3, 1, 3, 1, 3, 1,\n",
       "       3, 3, 3, 2, 2, 1, 1, 2, 1, 2, 3, 1, 2, 3, 2, 3, 2, 1, 2, 2, 3, 2,\n",
       "       3, 3, 1, 3, 3, 2, 2, 2, 2, 3, 2, 3, 3, 3, 1, 3, 3, 1, 3, 1, 3, 1,\n",
       "       2, 3, 3, 2, 1, 1, 1, 2, 2, 2, 2, 2, 3, 1, 3, 1, 3, 2, 3, 3, 3, 2,\n",
       "       1, 3, 2, 2, 1, 1, 2, 2, 2, 2, 2, 1, 3, 2, 1, 3, 1, 1, 1, 2, 3, 3,\n",
       "       1, 3, 2, 1, 1, 3, 2, 2, 1, 1, 3, 3, 3, 2, 1, 3, 3, 1, 1, 2, 2, 3,\n",
       "       1, 3, 1, 1, 1, 3, 1, 3, 2, 1, 2, 2, 1, 1, 2, 3, 1, 1, 3, 1, 2, 2,\n",
       "       2, 3, 1, 3, 3, 1, 1, 2, 1, 2, 1, 3, 2, 1, 2, 1, 3, 2, 3, 1, 3, 1,\n",
       "       2, 2, 2, 2, 2, 1, 1, 2, 2, 3, 3, 3, 3, 2, 2, 1, 1, 3, 3, 1, 2, 2,\n",
       "       1, 2, 2, 2, 3, 2, 3, 3, 1, 2, 2, 1, 3, 1, 3, 3, 1, 1, 2, 3, 1, 1,\n",
       "       1, 2, 1, 3, 2, 2, 2, 1, 3, 2, 3, 1, 2, 2, 3, 2, 3, 1, 1, 3, 1, 2,\n",
       "       3, 2, 3, 3, 3, 3, 1, 2], dtype=int64)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred = classifier.predict(X_test)\n",
    "y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c876fff8",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.metrics import accuracy_score\n",
    "from mlxtend.plotting import plot_confusion_matrix\n",
    "import seaborn as sns\n",
    "sns.set()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cbb6c719",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy : 0.992\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm = confusion_matrix(y_test, y_pred)\n",
    "plot_confusion_matrix(cm)\n",
    "\n",
    "acc = accuracy_score(y_test, y_pred)\n",
    "print('Accuracy',':', acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e3c2afe8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "colorscale": [
          [
           0,
           "rgb(3, 5, 18)"
          ],
          [
           0.09090909090909091,
           "rgb(25, 25, 51)"
          ],
          [
           0.18181818181818182,
           "rgb(44, 42, 87)"
          ],
          [
           0.2727272727272727,
           "rgb(58, 60, 125)"
          ],
          [
           0.36363636363636365,
           "rgb(62, 83, 160)"
          ],
          [
           0.45454545454545453,
           "rgb(62, 109, 178)"
          ],
          [
           0.5454545454545454,
           "rgb(72, 134, 187)"
          ],
          [
           0.6363636363636364,
           "rgb(89, 159, 196)"
          ],
          [
           0.7272727272727273,
           "rgb(114, 184, 205)"
          ],
          [
           0.8181818181818182,
           "rgb(149, 207, 216)"
          ],
          [
           0.9090909090909091,
           "rgb(192, 229, 232)"
          ],
          [
           1,
           "rgb(234, 252, 253)"
          ]
         ],
         "reversescale": true,
         "showscale": true,
         "type": "heatmap",
         "x": [
          "pred_1",
          "pred_2",
          "pred_3"
         ],
         "y": [
          "true_1",
          "true_2",
          "true_3"
         ],
         "z": [
          [
           0,
           0,
           85
          ],
          [
           2,
           87,
           0
          ],
          [
           76,
           0,
           0
          ]
         ]
        }
       ],
       "layout": {
        "annotations": [
         {
          "font": {
           "color": "#000000"
          },
          "showarrow": false,
          "text": "0",
          "x": "pred_1",
          "xref": "x",
          "y": "true_1",
          "yref": "y"
         },
         {
          "font": {
           "color": "#000000"
          },
          "showarrow": false,
          "text": "0",
          "x": "pred_2",
          "xref": "x",
          "y": "true_1",
          "yref": "y"
         },
         {
          "font": {
           "color": "#FFFFFF"
          },
          "showarrow": false,
          "text": "85",
          "x": "pred_3",
          "xref": "x",
          "y": "true_1",
          "yref": "y"
         },
         {
          "font": {
           "color": "#000000"
          },
          "showarrow": false,
          "text": "2",
          "x": "pred_1",
          "xref": "x",
          "y": "true_2",
          "yref": "y"
         },
         {
          "font": {
           "color": "#FFFFFF"
          },
          "showarrow": false,
          "text": "87",
          "x": "pred_2",
          "xref": "x",
          "y": "true_2",
          "yref": "y"
         },
         {
          "font": {
           "color": "#000000"
          },
          "showarrow": false,
          "text": "0",
          "x": "pred_3",
          "xref": "x",
          "y": "true_2",
          "yref": "y"
         },
         {
          "font": {
           "color": "#FFFFFF"
          },
          "showarrow": false,
          "text": "76",
          "x": "pred_1",
          "xref": "x",
          "y": "true_3",
          "yref": "y"
         },
         {
          "font": {
           "color": "#000000"
          },
          "showarrow": false,
          "text": "0",
          "x": "pred_2",
          "xref": "x",
          "y": "true_3",
          "yref": "y"
         },
         {
          "font": {
           "color": "#000000"
          },
          "showarrow": false,
          "text": "0",
          "x": "pred_3",
          "xref": "x",
          "y": "true_3",
          "yref": "y"
         }
        ],
        "font": {
         "size": 14
        },
        "height": 400,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Confusion Matrix - Accuracy: 0.9920"
        },
        "width": 400,
        "xaxis": {
         "dtick": 1,
         "gridcolor": "rgb(0, 0, 0)",
         "side": "top",
         "ticks": ""
        },
        "yaxis": {
         "dtick": 1,
         "ticks": "",
         "ticksuffix": "  "
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_confusion_matrix(cm):\n",
    "    cm = cm[::-1]\n",
    "    cm = pd.DataFrame(cm, columns=['pred_1', 'pred_2', 'pred_3'], index=['true_1', 'true_2', 'true_3'])\n",
    "    fig = ff.create_annotated_heatmap(z = cm.values, x = list(cm.columns), y = list(cm.index), colorscale = 'ice', showscale = True, reversescale = True)\n",
    "    fig.update_layout(width=400, height=400, title='Confusion Matrix - Accuracy: {:.4f}'.format(acc), font_size=14)\n",
    "    fig.show()\n",
    "plot_confusion_matrix(cm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a1ffeb65",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "      pred_1       0.97      1.00      0.99        76\n",
      "      pred_2       1.00      0.98      0.99        89\n",
      "      pred_3       1.00      1.00      1.00        85\n",
      "\n",
      "    accuracy                           0.99       250\n",
      "   macro avg       0.99      0.99      0.99       250\n",
      "weighted avg       0.99      0.99      0.99       250\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report\n",
    "print(classification_report(y_test, y_pred, target_names=['pred_1', 'pred_2', 'pred_3']))"
   ]
  }
 ],
 "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": "3.10.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}