{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a2ec8d9e",
   "metadata": {},
   "source": [
    "#### Загрузка и подготовка данных для анализа\n",
    "\n",
    "Cardiovascular Disease dataset https://www.kaggle.com/datasets/sulianova/cardiovascular-disease-dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e703ff4a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 70000 entries, 0 to 99999\n",
      "Data columns (total 12 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   age          70000 non-null  int64  \n",
      " 1   gender       70000 non-null  int64  \n",
      " 2   height       70000 non-null  int64  \n",
      " 3   weight       70000 non-null  float64\n",
      " 4   ap_hi        70000 non-null  int64  \n",
      " 5   ap_lo        70000 non-null  int64  \n",
      " 6   cholesterol  70000 non-null  int64  \n",
      " 7   gluc         70000 non-null  int64  \n",
      " 8   smoke        70000 non-null  int64  \n",
      " 9   alco         70000 non-null  int64  \n",
      " 10  active       70000 non-null  int64  \n",
      " 11  cardio       70000 non-null  int64  \n",
      "dtypes: float64(1), int64(11)\n",
      "memory usage: 6.9 MB\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "df = pd.read_csv(\"data/cardio_train.csv\", sep=\";\", index_col=\"id\")\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3d8a4fc",
   "metadata": {},
   "source": [
    "#### Описание признаков\n",
    "\n",
    "1. age -- возраст в днях;\n",
    "2. gender -- пол (1 - ж, 2 - м);\n",
    "3. height -- рост в см.;\n",
    "4. weight -- вес в кг.;\n",
    "5. ap-hi -- систолическое давление в мм рт. ст.;\n",
    "6. ap_lo -- диастолическое давление в мм рт. ст.;\n",
    "7. cholesterol -- холестерин в крови (1 - в норме, 2 - выше нормы, 3 - сильно выше нормы);\n",
    "8. gluc -- сахар в крови (1 - в норме, 2 - выше нормы, 3 - сильно выше нормы);\n",
    "9. smoke -- курит (0 - нет, 1 - да);\n",
    "10. alco -- употребляет алкоголь (0 - нет, 1 - да);\n",
    "11. active -- ведет активный образ жизни (0 - нет, 1 - да);\n",
    "12. cardio -- риск ССЗ (целевой признак) (0 - нет, 1 - да).\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e807122c",
   "metadata": {},
   "source": [
    "#### Отображение набора данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "7bcd2ac9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>gender</th>\n",
       "      <th>height</th>\n",
       "      <th>weight</th>\n",
       "      <th>ap_hi</th>\n",
       "      <th>ap_lo</th>\n",
       "      <th>cholesterol</th>\n",
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       "    <tr>\n",
       "      <th>id</th>\n",
       "      <th></th>\n",
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       "      <td>18393</td>\n",
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       "      <th>1</th>\n",
       "      <td>20228</td>\n",
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       "      <td>85.0</td>\n",
       "      <td>140</td>\n",
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       "      <td>64.0</td>\n",
       "      <td>130</td>\n",
       "      <td>70</td>\n",
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       "      <th>3</th>\n",
       "      <td>17623</td>\n",
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       "      <td>82.0</td>\n",
       "      <td>150</td>\n",
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       "      <td>156</td>\n",
       "      <td>56.0</td>\n",
       "      <td>100</td>\n",
       "      <td>60</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>99993</th>\n",
       "      <td>19240</td>\n",
       "      <td>2</td>\n",
       "      <td>168</td>\n",
       "      <td>76.0</td>\n",
       "      <td>120</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>99995</th>\n",
       "      <td>22601</td>\n",
       "      <td>1</td>\n",
       "      <td>158</td>\n",
       "      <td>126.0</td>\n",
       "      <td>140</td>\n",
       "      <td>90</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>99996</th>\n",
       "      <td>19066</td>\n",
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       "      <td>183</td>\n",
       "      <td>105.0</td>\n",
       "      <td>180</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "<p>70000 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         age  gender  height  weight  ap_hi  ap_lo  cholesterol  gluc  smoke  \\\n",
       "id                                                                             \n",
       "0      18393       2     168    62.0    110     80            1     1      0   \n",
       "1      20228       1     156    85.0    140     90            3     1      0   \n",
       "2      18857       1     165    64.0    130     70            3     1      0   \n",
       "3      17623       2     169    82.0    150    100            1     1      0   \n",
       "4      17474       1     156    56.0    100     60            1     1      0   \n",
       "...      ...     ...     ...     ...    ...    ...          ...   ...    ...   \n",
       "99993  19240       2     168    76.0    120     80            1     1      1   \n",
       "99995  22601       1     158   126.0    140     90            2     2      0   \n",
       "99996  19066       2     183   105.0    180     90            3     1      0   \n",
       "99998  22431       1     163    72.0    135     80            1     2      0   \n",
       "99999  20540       1     170    72.0    120     80            2     1      0   \n",
       "\n",
       "       alco  active  cardio  \n",
       "id                           \n",
       "0         0       1       0  \n",
       "1         0       1       1  \n",
       "2         0       0       1  \n",
       "3         0       1       1  \n",
       "4         0       0       0  \n",
       "...     ...     ...     ...  \n",
       "99993     0       1       0  \n",
       "99995     0       1       1  \n",
       "99996     1       0       1  \n",
       "99998     0       0       1  \n",
       "99999     0       1       0  \n",
       "\n",
       "[70000 rows x 12 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "4196f618",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <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>70000.0</td>\n",
       "      <td>19468.865814</td>\n",
       "      <td>2467.251667</td>\n",
       "      <td>10798.0</td>\n",
       "      <td>17664.0</td>\n",
       "      <td>19703.0</td>\n",
       "      <td>21327.0</td>\n",
       "      <td>23713.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gender</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>1.349571</td>\n",
       "      <td>0.476838</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
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       "    <tr>\n",
       "      <th>height</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>164.359229</td>\n",
       "      <td>8.210126</td>\n",
       "      <td>55.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weight</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>74.205690</td>\n",
       "      <td>14.395757</td>\n",
       "      <td>10.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ap_hi</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>128.817286</td>\n",
       "      <td>154.011419</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>16020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ap_lo</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>96.630414</td>\n",
       "      <td>188.472530</td>\n",
       "      <td>-70.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>11000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cholesterol</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>1.366871</td>\n",
       "      <td>0.680250</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gluc</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>1.226457</td>\n",
       "      <td>0.572270</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>smoke</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>0.088129</td>\n",
       "      <td>0.283484</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alco</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>0.053771</td>\n",
       "      <td>0.225568</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>active</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>0.803729</td>\n",
       "      <td>0.397179</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cardio</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>0.499700</td>\n",
       "      <td>0.500003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               count          mean          std      min      25%      50%  \\\n",
       "age          70000.0  19468.865814  2467.251667  10798.0  17664.0  19703.0   \n",
       "gender       70000.0      1.349571     0.476838      1.0      1.0      1.0   \n",
       "height       70000.0    164.359229     8.210126     55.0    159.0    165.0   \n",
       "weight       70000.0     74.205690    14.395757     10.0     65.0     72.0   \n",
       "ap_hi        70000.0    128.817286   154.011419   -150.0    120.0    120.0   \n",
       "ap_lo        70000.0     96.630414   188.472530    -70.0     80.0     80.0   \n",
       "cholesterol  70000.0      1.366871     0.680250      1.0      1.0      1.0   \n",
       "gluc         70000.0      1.226457     0.572270      1.0      1.0      1.0   \n",
       "smoke        70000.0      0.088129     0.283484      0.0      0.0      0.0   \n",
       "alco         70000.0      0.053771     0.225568      0.0      0.0      0.0   \n",
       "active       70000.0      0.803729     0.397179      0.0      1.0      1.0   \n",
       "cardio       70000.0      0.499700     0.500003      0.0      0.0      0.0   \n",
       "\n",
       "                 75%      max  \n",
       "age          21327.0  23713.0  \n",
       "gender           2.0      2.0  \n",
       "height         170.0    250.0  \n",
       "weight          82.0    200.0  \n",
       "ap_hi          140.0  16020.0  \n",
       "ap_lo           90.0  11000.0  \n",
       "cholesterol      2.0      3.0  \n",
       "gluc             1.0      3.0  \n",
       "smoke            0.0      1.0  \n",
       "alco             0.0      1.0  \n",
       "active           1.0      1.0  \n",
       "cardio           1.0      1.0  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe().T"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eaf8554b",
   "metadata": {},
   "source": [
    "Преобразование возраста из дней в годы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "79535342",
   "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>70000.0</td>\n",
       "      <td>53.304309</td>\n",
       "      <td>6.755152</td>\n",
       "      <td>29.564122</td>\n",
       "      <td>48.36272</td>\n",
       "      <td>53.945351</td>\n",
       "      <td>58.391742</td>\n",
       "      <td>64.924433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gender</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>1.349571</td>\n",
       "      <td>0.476838</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>height</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>164.359229</td>\n",
       "      <td>8.210126</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>159.00000</td>\n",
       "      <td>165.000000</td>\n",
       "      <td>170.000000</td>\n",
       "      <td>250.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weight</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>74.205690</td>\n",
       "      <td>14.395757</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>65.00000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>200.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ap_hi</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>128.817286</td>\n",
       "      <td>154.011419</td>\n",
       "      <td>-150.000000</td>\n",
       "      <td>120.00000</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>140.000000</td>\n",
       "      <td>16020.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ap_lo</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>96.630414</td>\n",
       "      <td>188.472530</td>\n",
       "      <td>-70.000000</td>\n",
       "      <td>80.00000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>11000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cholesterol</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>1.366871</td>\n",
       "      <td>0.680250</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gluc</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>1.226457</td>\n",
       "      <td>0.572270</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>smoke</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>0.088129</td>\n",
       "      <td>0.283484</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alco</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>0.053771</td>\n",
       "      <td>0.225568</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>active</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>0.803729</td>\n",
       "      <td>0.397179</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cardio</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>0.499700</td>\n",
       "      <td>0.500003</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               count        mean         std         min        25%  \\\n",
       "age          70000.0   53.304309    6.755152   29.564122   48.36272   \n",
       "gender       70000.0    1.349571    0.476838    1.000000    1.00000   \n",
       "height       70000.0  164.359229    8.210126   55.000000  159.00000   \n",
       "weight       70000.0   74.205690   14.395757   10.000000   65.00000   \n",
       "ap_hi        70000.0  128.817286  154.011419 -150.000000  120.00000   \n",
       "ap_lo        70000.0   96.630414  188.472530  -70.000000   80.00000   \n",
       "cholesterol  70000.0    1.366871    0.680250    1.000000    1.00000   \n",
       "gluc         70000.0    1.226457    0.572270    1.000000    1.00000   \n",
       "smoke        70000.0    0.088129    0.283484    0.000000    0.00000   \n",
       "alco         70000.0    0.053771    0.225568    0.000000    0.00000   \n",
       "active       70000.0    0.803729    0.397179    0.000000    1.00000   \n",
       "cardio       70000.0    0.499700    0.500003    0.000000    0.00000   \n",
       "\n",
       "                    50%         75%           max  \n",
       "age           53.945351   58.391742     64.924433  \n",
       "gender         1.000000    2.000000      2.000000  \n",
       "height       165.000000  170.000000    250.000000  \n",
       "weight        72.000000   82.000000    200.000000  \n",
       "ap_hi        120.000000  140.000000  16020.000000  \n",
       "ap_lo         80.000000   90.000000  11000.000000  \n",
       "cholesterol    1.000000    2.000000      3.000000  \n",
       "gluc           1.000000    1.000000      3.000000  \n",
       "smoke          0.000000    0.000000      1.000000  \n",
       "alco           0.000000    0.000000      1.000000  \n",
       "active         1.000000    1.000000      1.000000  \n",
       "cardio         0.000000    1.000000      1.000000  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"age\"] = df[\"age\"] / 365.24\n",
    "df.describe().T"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c15cd077",
   "metadata": {},
   "source": [
    "Минимальный возраст -- 29.5 лет, максимальный возраст -- 64.9 года.\n",
    "\n",
    "Минимальный рост -- 55 см, максимальный рост -- 250 см.\n",
    "\n",
    "Минимальный вес -- 10 кг, максимальный вес -- 200 кг.\n",
    "\n",
    "Минимальное систолическое давление -- -150 мм рт ст, максимальное систолическое давление -- 16020 мм рт ст.\n",
    "\n",
    "Минимальное диастолическое давление --  -70 мм рт ст, максимальное диастолическое давление -- 11000 мм рт ст.\n",
    "\n",
    "Необходима очистка данных от ошибочных значений."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0504bac",
   "metadata": {},
   "source": [
    "#### Визуализация признаков попарно для определения корреляции между ними"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "77ac76a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x16666c690>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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ypUmW7GL49ddfN+XLlzf16tUz/fr1M/v27Qu/59W0JFNQ852g5j1+z4P8mg/5uQwWq3h3sw9yKzcFJU/QMpdffrkpXLhwpnTq1vXbt2/37LY42XzDb+n2WtzGq9wSj23u57xC+/0///mPueWWW+ztKr28nUNSPW9yw6/rndc2Hy+IRTuJX9Ihe/bsse1UVapUMW3btvVcnTC6z8VP+8Or6xXEuBVi1zuxm8y4zU/5N9Ft3/FKRzSV9VRujT6WcqoTeSUdOR3fft0f6hu64YYbTIkSJZK2P7zcf0rsHkfsJj8dkYjdnBG7xxG7yU9HJGI3Z8TuccRu8tMRidjNGYPAE2D58uWmZMmSpkiRIqZnz55m4sSJpm7dujag1OmgDopI6lDRe36hxpolS5aYQYMGnfBeENKoTG7s2LFm6tSpZuTIkTYzvOyyy+zg2SCkT9asWWPTVrt2bTNt2jSbKd51113mlVdese+H0hLZ2efHdOaX0phV2tXZuX//frNlyxbbcOm37TNs2DB74r/++utdHe9eoc6E559/3rz77rv2oUJLixYtbD4kft0fv/zyi5kyZYq59dZbM72ezH2iCwV69+5tLr30UjsQIK8xEtrescxDgpwnu9lO+l8F2EgFCxa0FQ+vpbF169bm1VdfNTNnzjRDhgwxs2fPNldffbWNTy+nJavj3s2xlV0chN5LhuxiuFOnTnbgz6xZs+wAn9dee8107tw5/L4X05JMQc53gpj3+D0P8nM+5NcyWCzj3c0+yK1uEZQ84WS2RbKOl1jkG35Lt5fiNp7llljHnd/zikmTJpkdO3aYrl27eno7R0rlvMktr59fYtXmk2yxaifxSzrUeTZ69Gjz3nvv2TxCn2vatKlZv3698Wqfi5/2B3GbOMSuN2LXC3Gbn/JvItu+E1mO79u3r72oMXKgQW51Ii+kI7fj24/7Y+HChWbFihUn9A0len94uf+U2D2O2E1uOiIRu7kjdo8jdpObjkjEbu6I3eOI3eSmIxKxm7uCLpbBSVJwLVu2zF6h/84775guXbrYgy4I1q1bZ3r16mWmT59uihYtaoJImUPI+eefbzv7dLXM22+/bYoVK2aCQBm+Zkp68skn7d+aCVyZpxpvdbwieN544w0zYMAAe9KP7CTN6Xjv3r278UqeqkeICivff/+9GT58uO2o9itddKGBAu3atcv0ejL3ie7yoLzg008/NV6RCnlyUOgqzBDNGqj9VbNmTXsl5hVXXGG8yovHfazT0qNHj0z7Rh222ifKS7WPkBn5jj/5NQ8KWj7kN8R7avNzvhEEfiq3+D2v0IwpSoM6MLy8nZGavN7mE5Rymtt0aIbeyFl6tT/OOecc88ILL5iBAwcaL/a5ZDegFKkbt0LseiN2iVvvGDx4sJ3gS3WdyL5dP9SJvHp8n2z5XNu7UaNGmV73w/5AYhG73kLswi1i11uIXbhF7HoLsZs7ZgJPAM0AVKtWLXPhhRfa2bLr169vnn32WVOxYkU7pbtm34m0ceNG+54faDr6TZs2mYYNG9rZdfRQo80///lP+1xXJfg9jdE0SPOss84yq1evDsQ+FHXuRTe06QQQup1xKC1Kl5/TmV9KY1Zpz8jIsB28ul1ygQIFfLN9VFDR1VHqoI6+5UROx7uX6UQfWke/7Q9xHMdeiXfTTTdlui11MvfJnXfeaf73v//ZmeAqV66crxgJbe945iFBypPdbCf9r/NupCNHjpht27Z5Po01atSw8Rk6dr2YluyOezfHVnZxEHov0fISwxq4JJH7xktp8Zog5TupkPf4KQ/yez7kxzJYrOPdzT7IrW4RlDzhZLaFV46X/OQbfku3V+I23uWWeMedn/KKH3/80cyYMeOEGVO8vp3Jm3Ln9fNLrNp8kimW7SR+SUe0QoUK2clDvLA/sutz8dP+IG4Tg9j1Tux6IW7zU/5NZtt3PMrxukOsBrR8+OGHdoBEXupEXqyPRB/fftsfe/futX12bib8iff+8HL/KbFL7MYDsUvsukXsHkfsJhexmzfE7nHEbmrELoPAkzTr8sGDB21DhwJNU9KHrFq1yg68jbwiw8t01YRu4aar90MPzSh94403hp/7PY3R9uzZY2ey0MDpIOxD0e0Dtd6Rvv32WzuTlVSvXt1mLJHp1G0JFixY4Kt05pfSGJl20ez3obSr8VLHQuQyinP97bXt8+abb5pu3brZ/9u0aZOn493LlN+E1tFP+yNEF8+oEOKm0BLvfaIB6epU0O04P/roIxv/Jxsj8cxDgpQnu9lO+l8DSnQRVoj2k47x0EANr9LthbZu3Ro+dr2UltyOezfHlv5XmShy4IniQIX3RM5olJ8YVh4qkfvGC2nxqiDlO6mQ9/ghDwpKPuTHMlis493NPsit3BSUPEHLzJkzxxw+fDhTOjX7X9myZX2xLfKTb/gt3cmO20SVW+K9zf2UV4wZM8beDSy39gCvbWfyptz5db3z2uaTDPFoJ/FLOqLp1rTKC7zYThjqc/HL/vDyegUhboXY9X7sJiNu81P+TWbbdyzTIUOHDrUz/02dOtX23+a1TuTF+kj08e2n/SHjx4+3cdC5c+ek7w8v958Su8RuPBC7xG480yHErrf2hxC77hC7xG48ELsz4z/m0EFc3X///c7s2bOdH374wfnyyy/t32lpac6HH35o3+/Zs6dTtWpV56OPPnIWLVrkNGnSxD78rHnz5k6vXr3Cf/s9jffcc4/z8ccf2304d+5cp2XLlk758uWdTZs2BSJ9snDhQqdgwYLOE0884Xz33XfO66+/7hQvXtz5z3/+E15m8ODBTpkyZZz33nvPHstt27Z1qlev7uzfv9/xm927dztLly61D2WDzzzzjH3+448/2vcVpzfddFN4+TVr1tjt0adPH+frr792RowY4RQoUMCZOnVqeJlx48Y5RYoUccaOHet89dVXTo8ePez22rBhg2fSof2q/az1//XXX8OPHTt2uD7evZCO4cOHO5MmTbLH6vLly21+k56e7syYMSOp+yM/aQnp3Lmz07hx4yy/M9H75K9//atTunRp+5uRx8m+ffvCyygNSkuI1kvH1rBhw2yM9O/f3ylUqJDdP7HOQ/yeJ+d2jLjZTq1bt3YuuOACZ8GCBc6nn37q1K5d2+nYsaOn0qL37r33Xmf+/Pl2Xyk+GzZsaNf1wIEDnkuLm+M+t2PryJEjTr169Zwrr7zSWbZsmT1HnHrqqU6/fv08lZbVq1c7jz32mE2D9o2OtRo1ajiXX36559LiFX7Pd4KW9wQxDwpSPpSsMphX4t3NPnBTtwhCnqA6RoUKFWy5ccWKFfbYULpfeOGFPJUh/ZZveDHdXo7bRJVbYh13fs0rjh49aterb9++mV73ynZO1bwpkW1XyRCPNp9Ei1c7iR/SMWDAAGfatGnO999/7yxevNi54YYbnKJFizorV650vNznkqz9Qdx6J26F2PVW7HopbnMr/yaz7Tue6dA6Fi5c2HnnnXcyHUuKeXFbJ0p2Otwc337YHyHNmjVzOnTocMLrydofXu4/JXaJXS+kI4TYdY/YJXa9kI4QYtc9YpfY9UI6QohddxgEHme33HKLU61aNZtJqHPkiiuuCDdqiILn9ttvd8qWLWt3+J/+9CebgQRpELjf06iM5PTTT7f7sFKlSvZvdZAFJX0h//3vf22HnjKVOnXqOKNGjcr0/rFjx5yHH37YdpZpGR3Lq1atcvxo1qxZNiOOfnTp0sW+r/91HEd/pkGDBvY4UGfomDFjTvje5557znaoaplGjRo5n332mafSoec5Le/mePdCOoYMGeLUrFnTFlLKlSvntGjRwnauJ3t/5CctoU7oYsWKnRBzydonWa2/HpHHvNIQedzI22+/7Zx11ll2Pc8991zngw8+iEse4vc8ObdjxM122rp1qx3IULJkSScjI8Pp1q1buOLhlbSoI0oDRFT2UQVPZaHbbrvthEKqV9Li5rh3c2ytXbvWufrqq21MayCQBggdPnzYU2n56aef7IAe5Z86xmrVqmUrHDt37vRcWrzC7/lO0PKeIOZBQcuHklEG81K8u9kHbuoWQcgTvvjiC9s4p+/Q9lSjYrTcypB+zDe8lm4vx20iyy2xjDu/5hVq+Nf2jY5nr2znVM2bEt12lWjxavNJpHi1k/ghHb179w6fHxR711xzjbNkyRLH630uydofxK134laIXW/FrtfiNqfybzLbvuOZDm3/rI4lDdARt3WiZKfDzfHth/0h33zzjd0HkbEQkqz94fX+U2KX2E12OoTYzTtil9hNdjqE2M07YpfYTXY6hNh1L03/xG4CcwAAAAAAAAAAAAAAAAAAAABAPKXH9dsBAAAAAAAAAAAAAAAAAAAAADHFIHAAAAAAAAAAAAAAAAAAAAAA8BEGgQMAAAAAAAAAAAAAAAAAAACAjzAIHAAAAAAAAAAAAAAAAAAAAAB8hEHgAAAAAAAAAAAAAAAAAAAAAOAjDAIHAAAAAAAAAAAAAAAAAAAAAB9hEDgAAAAAAAAAAAAAAAAAAAAA+AiDwAEAAAAAAAAAAAAAAAAAAADARxgEDgAInK5du5p27dolezUA32vRooXp3bt3vj//6KOPmgYNGiT0NwHEzplnnmn+8Y9/uF5+7dq1Ji0tzSxbtiyu6wXg5H388cc2Xnfs2BHT8ziA5McukOpiVSbNa1nYS8aOHWvKlCmT7NUAPMfPcQ3APfqHgOSjnRgIHsX0pEmTkr0aAGIYy5yvg4VB4AAAAIiLe++918ycOTPm30tDA5AYn3/+uenRo0dMv5MBKYB/xOs8DgBAqqEMDAAAAADwg+wmBvn111/N1VdfnZR1AhAfVapUsbFdr169ZK8KYqBgLL4EAIAgcRzHHD161BQsyGkSOBklS5a0DwD+dOqppyZ7FQAkEedxAAC8RW1Vuig6PZ25fQAAAAAAiVOxYsVkrwIAlw4dOmQKFy6c63IFChQgtgOE1kIE0tSpU02zZs3sDCunnHKK+cMf/mC+//778Pvz5s2zV68VLVrUXHTRRXY20ehbHKxYscJeyaZO7woVKpibbrrJbNmyJUkpAvxp9+7d5sYbbzQlSpQwp59+uhk+fLhp0aKF6d27t33/4MGDdobBSpUq2WUaN25sb28dPVPStGnTzDnnnGPjsXXr1vZqtMgOsLvvvjsc7/fdd58dxB3p2LFjZtCgQaZ69eqmWLFipn79+uadd9454ZbaU6ZMMRdeeKEpUqSI+fTTTxOyjQCvU/worsqVK2crAboCPES3ob/11lvtQNGMjAzz+9//3nzxxRfZXi1+5MgRc9ddd4XjtW/fvqZLly4n3J4zp9/UrXvlT3/6k43b0N8AjPnf//5n40vnRlHZVnFy//33h5dRzHbu3Nk+17nusssus+dGXe2t+Ny7d2+2t8r+5ptvbBlbZei6deuaGTNmZDkz/5o1a8zvfvc7U7x4cXvOnT9/fvh8261bN7Nz5077OT0i4xuA+3pt6DZ948aNM02bNrVxqdkaZs+enaffWLx4sa0TK171PatWrcp11hcAyY/dSO+++64599xzbT1W5+6nn346hqkBvEv1xqFDh5patWrZ479q1armiSeeyLVMmt/Yya3+q+f6vVKlStn31b60aNGiHMvAbtvF3n//fVv+1rr+9NNPZvv27ebmm282ZcuWtelTG/Z3330Xw60LBLMtOlJWt71WnOu1yDhcuXKlPZcrrhXfqkNH9jUByJ36Ys477zzb/qTyccuWLW37U9euXW278JNPPmn7YXXOe+yxx2wbcp8+fWzbcOXKlc2YMWMyfd/y5cvteTj0fbqL3Z49e3K8053O30OGDHF1TgcQm/EY0XI6p6psr/hXzKvMq/YofT+A+MTn+vXrTceOHe25VmVntQ8vWLDA1kEHDBhgz4uh+qtek8i+ILVpqY830ubNm02hQoXMnDlzXNV3Abhv51K8nXXWWbYNqEaNGubhhx82hw8fPqEv56WXXrJjotTmLGoruvzyy8P9utOnT8+1Xqx26kaNGtl1UL1afcwqn8P7GASOQFLjgQaFqqFdt6/W7CgaLKZMc9euXeaPf/yjbXBYsmSJGThw4AkFFDUAqNJ/wQUX2O9QIWnjxo3m+uuvT1qaAD9SHM6dO9d2VqlA8cknn9i4C7nzzjttJ5w6wL/88kvTvn17O8g7suNq3759ZtiwYea1116zlQZ1dqnCEKJOOlU+Ro8ebQezbdu2zUycODHTemgA+Kuvvmqef/5528jw97//3Q6Ai+5oVwFm8ODB5uuvvzbnn39+XLcN4BevvPKKrZyr8q+KhxriQhUExeymTZvsBRQaRNawYUNzxRVX2DjMihraX3/9ddtwr7xB5+TowaO5/aYa7UXfoQtCQn8DMLbhXJ3eS5cutX/rPFe+fPlMDWt6TZ3gavDTOfe6666z5+C33nrLnkd1bs6KBparY04NDIrNUaNGmQcffDDLZfW6ztVqNFCjhBoT1UCghkENKldDv+JXj8hzOgD39doQdYzfc889Nu6bNGli67pbt251/RuKV5Wn9Ru6C84tt9wSp9QAqSMRsRuiMrjaqm644QY7GEYN/uoECHXQAUHWr18/24ajY/6rr74yb7zxhh1AlluZNL+xk1v9VwNPNWhFdVS9rzYmdYDnVAZ22y6murQ68tSmddppp9lBc8pj1N6mz2syhGuuuSZTByCQinJri86rn3/+2XaYq/P7o48+srGt8jId4IB7Ou/pHKzYUb+L2qj+7//+LzyRj2Lrl19+sX0/zzzzjOnfv78dqKYLndT+1LNnT/OXv/zFDlYLlbWvuuoq+77OuePHj7eTFGTXnqXvb9WqlR1AE+oLzmubNoD8133dnlOfffZZ2z6l/mCVixXn1157LRc6AnGIT1041bx5cxuXKjdrwLcm5tJ7HTp0sO1VumA6VH/Va9FU/1U9NnJiPvUxnXHGGbafym19F4C7di5dPKU2K72uc+aLL75oL3qOtHr1ajvhwYQJE2xbmGJa5W7NCK5ytcZKRY+NjKZ8Qe1LF198sc0bRo4caV5++WXz+OOPxzXtiBEHSAGbN29W6cNZvny5M3LkSOeUU05x9u/fH37/xRdftO8vXbrU/j1w4EDnyiuvzPQd69ats8usWrUq4esP+NGuXbucQoUKOePHjw+/tmPHDqd48eJOr169nB9//NEpUKCA8/PPP2f63BVXXOH069fPPh8zZoyNu9WrV4ffHzFihFOhQoXw36effrozdOjQ8N+HDx92Kleu7LRt29b+feDAAfub8+bNy/Q73bt3dzp27Gifz5o1y/7OpEmTYr4dAD9r3ry506xZs0yvXXzxxU7fvn2dTz75xMnIyLAxFqlmzZrOCy+8YJ/379/fqV+/fvg9xe5TTz0V/vvIkSNO1apVw/Ga22+GKF4nTpwYw5QCwdGwYcNwnLVr18554oknnMKFCzu7d+921q9fb+Pn22+/tefBHj16ZPqs4jo9PT1cTq5WrZozfPhw+3zKlClOwYIFnV9//TW8/PTp0zPF4w8//GD/fumll8LLrFy50r729ddfh8/tpUuXTsCWAIJdrw3F2+DBg08oBw8ZMiTX7wqVf2fMmBF+7YMPPrCvhfKA6PM4AO/E7vbt2+3fnTp1clq1apVpmT59+jh169aNQ0oAb7U5FSlSxLbpRnNTJnUTO5FlYTf131KlSjljx47Ncn2zKgPnpV1s2bJl4fdVltdrc+fODb+2ZcsWp1ixYs7bb7+d7e8Bqd4WHR3Xobwi1CckOr/qNZ1vRbFYvXp159ChQwlPDxAUixcvtnG1du3aE97r0qWLjcujR4+GXzv77LOdyy67LFP7cYkSJZw333zT/j1q1CinbNmyzp49ezLVZdWetWHDhvD3qr15woQJTsmSJZ1x48aFl3VzTgcQu7pv6Dyb2zn1jDPOsO3Y0f1Ct99+e0LWHUil+NT5TvXXrVu3Zrlsdm3CkX1BmzZtsv1Fc+bMCb/fpEmTcF+um/ouAHftXFlRP/CFF16YKW5VH1ZshkybNs3GaWQcqq83q37d0Pn6gQcesOXxY8eOZRqfpTJ1ZJkd3sRM4AgkXT2mK8t1GwTNsqJbeopmENbtrTXDb+j2B6JbGUTSFS2zZs0yJUuWDD/q1Klj3+NWf4A7uu2uZiCKjK/SpUubs88+2z7XTEuaVVSzMUXGmmYojYwzzThas2bN8N+65YhmaRDdSldXoOr2QSGawVC3LIq84k2zJmm2h8jf0czg0fEc+TkAv4meFT8UgzpX6mpx3UYsMrZ++OGHLM+VilfdVSMyTyhQoIC9Rbbb3wSQO83goFmV1CanWc90lfc555xjZ/nWOVYzMdSuXdvGsK4aj4xfzbCiK8MVx9FUhq5SpYqpWLFitmXorGJY8SvEMBDbem2IZhCOLgdrdjW3iFfAn7Ebos9ceumlmV7T31oH1beBoNKxr1tLa9bO/Jzj8ho7buq/mmXt1ltvNS1btrQzN+XWhuy2XUwzNkWmReuufCOyLUzrpfa2/OQjQKq0ReeHZk/TTIaa1R9A/tSvX9+er3V3Zs0AqlkLt2/fHn5fM41qdtIQzXaoZSPbj3WeizyH6zt1F8nIc7jas9R2FaLZDvV7usNs5AymeW3TBnBydV8351TdMVZ3BMiqfE75Foh9fCoeL7jgAlOuXLl8f/+pp55qrrzySnv3Z9F5VLN+a4bwvNR3Abhr59JM+zovqo9WsfTQQw+dcL6tVq2ajc3I71S/rvqFs2qTzm49tExaWlr4Nf2uys+hO/PAuwomewWAeNBtdJXBqTFBGZoq//Xq1TOHDh1y9XllYPoO3WozWqjTAMDJUZypAU+3/NL/kVRwCYluEFCBI/LWQm5+Rz744ANTqVKlTO/ptmORIhsOAWQfg6HbhemcqMGm0cqUKROX3wSQuxYtWpjRo0fbTi3Fki5k1GuKVXWyaZC4KIZ1O9277rrrhO+oWrVqzGI41FBADAOJr9e6QbwC/oxdINUVK1Ysoec4N/XfRx991HTq1Mm2P02ZMsX079/f3vZat9w+mXYxpTWy8w1AbIQGnUa2M2sQeV7zGgA50zlu+vTpZt68eebDDz80zz33nHnwwQftIO3s2oFj0TasiYU00FttZG3atAl/ZzzbtIFUk5e6L+dUwDvxGat41IBv9S/p3P7GG2/Yi7hCF3K5re8C+E1OcRm6wGLAgAF2Mi9d7Kz2pqeffjrTcox1AjOBI3C2bt1qr/bWlS+6SkYzH0ZeVa6ZH3Tlma6iCfn8888zfUfDhg3NypUr7RVxtWrVyvQg4wTc0ZWlaliLjC/NBPztt9/a57rCVFeAagaH6DiLnGU0JyrgqMEu1GAoR44csRWKkLp169rB3roSLvp3dOUbgPzRuXLDhg12BrLo2CpfvnyW8aqZXCLzBOUBS5YsyfNvK29hZkMga5pRZffu3Wb48OHhAd+hQeB66Hkohr/66qsT4lcPzTYYTWXodevW2Rn9sytDu6HvJn6Bk6/Xhnz22WcnlIO1LIDUiF19Zu7cuZle09+aaSm6kw0IEt3ZRh1kM2fOzNfn8xo7buu/+vzf//53O8hNd+QZM2ZMtmXg/LaLad2Vb0S2hYXyHrWBAakqt7boaKEZ0nSXyRDNihhJs/DrDlvRg8MB5I0GcWsGQQ1cWbp0qT0vTpw4MV/fpfOgJj7Yu3dvpnO4LuyInPlf5+ePPvrI3in2+uuvD8dxXtu0AZxc3dfNOVWzFGuQalblc8q3QOzjU/Gocu+2bdtOqg+nbdu25sCBA2bq1Kl2EHhoFvBYjQMBUklO7Vy6mFIXdehCSt1NUsv++OOPuX6nYl/9upF13sg26ew+o0HnkRdL63xcqlQpU7ly5TynC4nFIHAETtmyZe3V3aNGjbKVe1XydTvOEM3IoivdevToYW9lMG3aNDNs2DD7XmhWlTvuuMMWenSLFDUa6pYkWq5bt24MWgFcUkGgS5cupk+fPmbWrFn2woru3bvbxjjFmjrGVBm4+eabzYQJE+xtghYuXGgGDRpkZ01yq1evXvY2u5MmTTLffPONuf32282OHTsyrce9995rO+FeeeUVG88adKqrUvU3gPzRLa51O6B27drZDu61a9faSogqIIsWLcryM3/7299sjL/33nu2AULxq4aHvM5qpou0VAlSg31ODYtAqpaF1Yin2/CFBnxffvnl9tynzu/QwPC+ffvamL3zzjttg59uD6jY1N9ZadWqlZ1FSef2L7/80lb61YgoeYlhxa9mgVAMb9myxezbty8m6QZSrV4bMmLECNt5rnKw6rE6L95yyy1JWWcAiY/de+65x55TBw4caM/zquP+61//snVgIMiKFi1qy7P33XefefXVV21bjzqyXn755bjETm713/3799tytC66VEecyspqUw5d3JFVGTi/7WLq7FNn+2233WY+/fRTOxCuc+fO9u53eh1IVbm1RUdTB/sll1xi25XVT6Rb04fquCGK6127dpkbbrjBxrrqza+99ppt0wLgji5aevLJJ20MaaIenfM2b96c74uXde5UOUDxvmLFChvvanO+6aab7AQkkU477TRbHleZW/29uogqP23aAPJf93V7TtX5W3dof+utt+xr999/v22zVh8SgNjGp86JGoitc6HqrmvWrDHvvvuuHfgZqr+qfqoYVP01cnLNSJo8U9/x8MMP2/K0vjckVuNAgFSRUzuX2oFUjtbs33r9n//8p6sLKlXuVSyq3Ky2I12MpTJvTjTWSgPHVb5WGVr9xrrTnfKQ0N204F3sIQSOMh5lfppFSbc00cDPp556KtPVpP/9739toaVBgwY2k3vkkUfCGauErjbVgO8rr7zS3rakd+/e9lZgZGyAe88884xtUPvDH/5gCxma7UGNe6FY04xIKvyr802zNKiioE6yqlWruv4NfVYNfCq86LfU4B99q1116qkCooqFfr9169a2glG9evWYpxlIFepAmzx5sh1cqoukVIlQA546vKMb3ENUeVEjgOJe8apbfum2RaE8wS3d3ki3EdVs/rqaHEBmGuitcmxoEHi5cuXsrClq2AvNiqSB4urk1qAXzR6uWFKZWOXgrGhGRF1wpcErF198sbn11lvDjQV5ieGmTZuanj17mg4dOtiZ14YOHRqTNAOpVq8N0aAVPerXr28Hgr3//vvMXgakUOxqJsO3337b/qZ+T+fyxx57zHTt2jVGKQK8S+08ahPSca+2HpUvNctYPGInt/qvysqabU11Xb2nGUevvvpqO+NpTmXg/LaL6XMXXnihbW9T3VozNGn9NAsykMpya4uONnr0aDsoVPGk/p/HH3880/saPKNBM6oHq56t5V588UViDcgD9cnOmTPHXHPNNfYcqYst1Lar82R+FC9e3E7apYm81D715z//2c5yqou5sqK2MMWx7hCtwWiaJCyvbdoA8l/3dXtOveuuu+wAM5WLNS5DMwurnqyBbwBiG5+a6VsXQuliKZ2fFXNqowrdFeu6666zYyl+97vf2frrm2++me1v6dyqwaXqY4qux8ZiHAiQSrJr57r22mttHOuCKo1x1AWMWtZNXqDB4pq4oFGjRrZf94knnsjxM5pgQGVlXbShdmu1Zeni6ugLpuFNaU7kHO5AitJMiars6/aAmgECQHzoFn0qOKiRT4UFAKlNje6qxKiDXBdrAPAXXTTZrFkzO5uEZgkHkDiarUwXNOpW2mr4A+APxC4AAIlDWzQAAAAAAEgFBZO9AkAy6PYJNWrUsA2AujJNM5NqABoDwIHYUse2bhOiK8t0kYVmVRJuTwukJs2ooqvLNdODbh+mGVp0C7BOnTole9UAuKArxjWDv2Zg0cBv3Y5TM6sxABwAAAAAkGy0RQMAAAAAgFSUnuwVAJJhw4YNpnPnznb2Ud02oX379mbUqFHJXi0gkIYNG2ZvFaJbcGr2lU8++YRb1AMpSrcdGjt2rL1VpwaO6jacM2bMsOdjAN63e/duc8cdd5g6deqYrl272lh+7733kr1aALKg2/Tpoo2sHnoPgDcRuwAAnBzaogEAAAAAQKpJcxzHSfZKAAAAAAAAIDY2bdpkdu3aleV7GRkZ5rTTTkv4OgHIHbELAAAAAAAAAADygkHgAAAAAAAAAAAAAAAAAAAAAOAj6cleAQAAAAAAAAAAAAAAAAAAAACAewwCBwAAAAAAAAAAAAAAAAAAAAAfYRA4AAAAAAAAAAAAAAAAAAAAAPgIg8ABAAAAAAAAAAAAAAAAAAAAwEcYBA4AAAAAAAAAAAAAAAAAAAAAPsIgcAAAAAAAAAAAAAAAAAAAAADwEQaBAwAAAAAAAAAAAAAAAAAAAICPMAgcAAAAAAAAAAAAAAAAAAAAAIx//D/+QageTwB/awAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 3000x3000 with 90 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df, corner=True, kind=\"hist\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0cbcd1da",
   "metadata": {},
   "source": [
    "#### Визуализация распределения значений признаков"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f72b1c26",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x11ba43f10>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x2000 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(\n",
    "    x=\"value\",\n",
    "    data=df.melt(value_vars=df.columns), # type: ignore\n",
    "    col=\"variable\",\n",
    "    kind=\"hist\",\n",
    "    col_wrap=3,\n",
    "    facet_kws={\"sharex\": False, \"sharey\": False},\n",
    "    common_bins=False,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf5c2d55",
   "metadata": {},
   "source": [
    "#### Визуализация выбросов в данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b798a159",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x4958e87d0>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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D8fe//z0uvfTSWGuttWqcl4Lmc+fOrdpuueWWkrUZAJq6MWPGRP/+/aN9+/ax7rrrxn777RfTp0//zOfdcccdsemmm0a7du3yTfH777+/QdoLAM3FyvTRgwcPXm4g2nHHHVfjnFmzZsXee+8dq622Wn6d0047LT799NMG/jTAokWLYuzYsfH222/nfToGiq/RBdEvuuii6NmzZ9xwww0xYMCAWH/99WP33XePDTfcsMZ5bdu2ja5du1ZtywbZAYD688QTT8Txxx8fTz/9dEycODE++eST3D8vXLiw4HPSyJlDDjkkjj766HjuuefyRX3aXnzxxQZtOwA0ZSvbRx9zzDE1BqJdfPHFVXVLlizJAfSPP/4499833XRT3HjjjXH22WeX4BNB8zZu3Lh499138+O0Hz9+fKmbBM1Ci4qKiopoRDbffPPYY489Ys6cOfnHwHrrrRc/+MEPcodfPZ3LhAkTok2bNjl4vssuu8SPf/zjnP6lNosXL85bpfnz5+dA/bx586JDhw4N8rkovfSn4A5u/X+nlX9b6cZWGtFC/Ukjd32nlKt///vfeZRa6qt32mmnWs9JU1DTBfy9995bVbb99tvH1ltvHddee+1KvU/qszt27FjWfbb+pbj9CzQGfgfVP7+D6rePTiPRU/97+eWX1/qcNAt8n332iTfffDO6dOmSy1JffcYZZ+TXS9feTaHPhnKXYmFHHHFEvrFVqXXr1vmmVo8ePUraNmjqWkcj8+qrr8Y111wTo0aNih/+8IcxefLkOOmkk3Knnf5HUpnK5YADDsij1F955ZV83pAhQ+Kpp56KVq1a1Tq97bzzzivBp6GcpABH+ncCjUW6mEnrQkA5ShfISadOnQqek/rl1J9Xl26UpxvhhdR247vc6V8A6p/fQfXfR6fRrb/97W/zTO6hQ4fGWWedlVO3VPbZKe1aZQC9ss/+/ve/Hy+99FJss802TaLPhnIfRHDFFVcULE+zR9xchOJpdEH0pUuXxnbbbRc//elP83HqrNO073QXvDKIfvDBB1ednzr6vn375nQvjz/+eOy6667Lvebo0aNrXMRXjkQHAL5YX33yySfnNUy23HLLgue99dZbNS7Gk3Scygtx4xsA6r+PPvTQQ6N3797RvXv3eP755/MI85Q3/c4771xhn11ZVxt9NtSvtC5BGki6rDQqPZWn+vR3DBRHowuid+vWLad0qW6zzTaL3//+9wWfs8EGG8Taa68dM2bMqDWInqZXpo3mLU0JTSNaqN/Rl/vvv39+fNddd+XvmPrj+6Rcpbyr6Qb3n//853p/7cZ+43vB1odERctG9/Or/KRshEstZkcjkv7ujQ6ssxZLP401pt1S6mY0yT762GOPrTEQLV13p2vnNLN72fXHmkufDeWmV69eeZHgv/71rzXSuaSMC9tuu22uB4qn0V3FpTvmy64k/q9//WuFd9tSzqi02EL6IQCFpGlPpoQWN+Dr+4Wm74QTTsg5zidNmvSZeRnTdPG33367Rlk6TuWFNPYb3zmA3mqVUjejifjs/LtA09KoFvNq5H30wIED8z4NREtB9NQ3P/vsszXOqezDC/Xbjb3PhnKMWYwYMaIqC8Oy5VK5QHG1jEZm5MiReVXxlM4ldehpFeLrrrsu31FPFixYEKeddlo+57XXXotHHnkk9t133/jyl7+cc7YBAPUv5WJMF+dp1smjjz6a1yX5LIMGDcr9dHUTJ07M5QBA6froadOm5X3lQLTUN7/wwgvxzjvv1Oiz0wKhy84UB4on3QBL6ZcqA+Zpn47XW2+9UjcNmrxGF0RPU1dS53/LLbfkHG4XXHBBXkF8+PDhVdNYUg63b3zjG7HxxhvH0Ucfnae1/OlPf3IXHACKJN3MTouRpZvb7du3z/lR0/bf//636pzDDz88T+2ulEbMPPjgg3HppZfGP//5zzj33HNjypQp+UIfAGiYPjqlbEnX1VOnTs0D0e6+++7cZ++00055fbFk9913z8Hyb3/72/G3v/0tHnrooTjzzDPza7vOhoaV4l+dO3fOj1Pq4hREB4qv0aVzSfbZZ5+81Sali0gdOgDQcK655pq8Hzx4cI3yG264IY488sj8OC121LLl/92/32GHHfIFfboI/+EPfxgbbbRRTJgwYYWLkQIA9dtHt2nTJh5++OE8OG3hwoU5b/mwYcNy/1wpDVZLqWC+//3v51Hpq6++ek4pcf755zf454HmLqVKTesNXHHFFXlQirWyoGE0yiA6AFB+U8U/y+OPP75c2YEHHpg3AKA0fXQKmj/xxBOf+TppHbL777+/HlsGfFFpMEragIbT6NK5AAAAAABAQxFEBwAAAACAAgTRAQAAAACgAEF0AAAAAAAoQBAdAAAAAAAKEEQHAAAAAIACBNEBAAAAAKAAQXQAAAAAAChAEB0AAAAAAAoQRAcAAAAAgAIE0QEAAAAAoABBdAAAAAAAKEAQHQAAAAAAChBEBwAAAACAAgTRAQAAAACgAEF0AAAAAAAoQBAdAAAAAAAKEEQHAAAAAIACBNEBAAAAAKAAQXQAAAAAAChAEB0AAAAAAAoQRAcAAAAAgAIE0QEAAAAAoABBdAAAAAAAKEAQHQAAAAAAChBEBwAAAACAAgTRAQAAAACgAEF0AAAAAAAoQBAdAAAAAAAKEEQHAAAAAIACBNEBAAAAAKAAQXQAAAAAAChAEB0AAAAAAAoQRAcAAAAAgAIE0QEAAAAAoABBdAAAAAAAKEAQHQAAAAAAChBEBwAAAACAAgTRAQAAAACgAEF0AAAAAAAoQBAdAAAAAAAKEEQHAAAAAIACBNEBAACgiRozZkz0798/2rdvH+uuu27st99+MX369Kr69957L0488cTYZJNNYtVVV41evXrFSSedFPPmzavxOi1atFhuu/XWW0vwiQCg4QmiAwAAQBP1xBNPxPHHHx9PP/10TJw4MT755JPYfffdY+HChbn+zTffzNvPfvazePHFF+PGG2+MBx98MI4++ujlXuuGG26IuXPnVm0pIA8AzUHrUjcAAAAAKI4UEK8uBcnTiPSpU6fGTjvtFFtuuWX8/ve/r6rfcMMN4yc/+Ukcdthh8emnn0br1v8XNlhzzTWja9euDdp+ACgHRqIDAABAM1GZpqVTp04rPKdDhw41AuhJGtG+9tprx4ABA+LXv/51VFRUFHyNxYsXx/z582tsANBYNcog+htvvJHvinfu3DnnbOvTp09MmTKlqj515GeffXZ069Yt1++2227x8ssvl7TNAAAAUEpLly6Nk08+Ob7yla/kEei1+c9//hMXXHBBHHvssTXKzz///Lj99ttzSphhw4bFD37wg7jqqqtWmIu9Y8eOVVvPnj3r/fMAQENpdOlc3n///dzh77zzzvHAAw/EOuuskwPka621VtU5F198cVx55ZVx0003xfrrrx9nnXVW7LHHHvH3v/892rVrV9L2AwAAQCmkkeQp7/mf//znWuvTaPG99947Nt988zj33HNr1KXr6krbbLNNzql+ySWX5EVIazN69OgYNWpUjdcWSAegsWp0QfSLLrood7xpQZNKKVBefRT65ZdfHmeeeWbsu+++uezmm2+OLl26xIQJE+Lggw8uSbsBAACgVE444YS49957Y9KkSdGjR4/l6j/88MPYc889o3379nHXXXfFKqusssLXGzhwYB6xntK2tG3bdrn6VFZbOQA0Ro0uncvdd98d2223XRx44IF5MZR0B/xXv/pVVf3MmTPjrbfeyilcKqWpY6mDf+qpp0rUagAAAGh4aaBZCqCnwPijjz5aYxBa9VHiu+++e7Rp0yZfc6/MDO5p06blGeEC5QA0B41uJPqrr74a11xzTZ4W9sMf/jAmT56cp4+lzv6II47IAfQkjTyvLh1X1i0r3TlPWyULngAAANBUUriMHz8+/vCHP+RR5pXXxWmwWVpDrDKA/tFHH8Vvf/vbGouApvSprVq1invuuSfefvvt2H777XOAPeVF/+lPfxqnnnpqiT8dADSM1o1xIZQ0Ej112EkaiZ5yul177bU5iP5FpAVPzjvvvHpuKQAAAJRWGoSWDB48uEZ5SpF65JFHxl//+td45plnctmXv/zlGuekmd5f+tKXcmqXq6++OkaOHJlHtqfzxo4dG8ccc0wDfhIAKJ1GF0Tv1q1bXuSkus022yx+//vf58ddu3bN+3SXPJ1bKR1vvfXWtb6mBU8AAABoilLQe0VScP2zzkm50tMGAM1Vo8uJ/pWvfCWmT59eo+xf//pX9O7dOz9O+d1SIP2RRx6pERRPd9YHDRpU62umHG4dOnSosQEAAAAAQKMbiZ6mj+2www45ncu3vvWtePbZZ+O6667LW9KiRYs4+eST48c//nFstNFGOah+1llnRffu3WO//fYrdfMBAAAAAGhEGl0QvX///nlV8ZSC5fzzz89B8ssvvzyGDx9edc7pp58eCxcujGOPPTY++OCD2HHHHePBBx9cqRXGAQAAAACg0QbRk3322SdvhaTR6CnAnjYAAAAAAGg2OdEBAAAAAKChCKIDAAAAAEABgugAAAAAAFCAIDoAAAAAABQgiA4AAAAAAAUIogMAAAAAQAGC6AAAAAAAUIAgOgAAAAAAFCCIDgAAAAAABQiiAwAAAABAAYLoAAAAAABQQOtCFZS3ioqKWLRoUambAStU/d+of680Bu3atYsWLVqUuhkAAABAGRFEb6RSQHLIkCGlbgastP3337/UTYDP9MADD8Sqq65a6mYAAAAAZUQ6FwAAAAAAKMBI9CZgwdaHREVL/ykpQxUVEUs//X+P079RaTIoQy2WfhprTLul1M0AAAAAypTIaxOQA+itVil1M6CANqVuAKxQRakb0IRMmjQpLrnkkpg6dWrMnTs37rrrrthvv/1W+Jxx48bFxRdfHC+//HJ07NgxpypLr9G5c+cGazcAAACsiHQuAEC9WLhwYWy11VZx9dVXr9T5f/nLX+Lwww+Po48+Ol566aW444474tlnn41jjjmm6G0FAACAlWUkOgBQL9Io8s+z6PVTTz0VX/rSl+Kkk07Kx+uvv35873vfi4suuqiIrQQAAIDPx0h0AKAkBg0aFLNnz477778/Kioq4u23347f/e53sddeexV8zuLFi2P+/Pk1NgAAACgmQXQAoCS+8pWv5JzoBx10ULRp0ya6du2a86KvKB3MmDFj8jmVW8+ePRu0zQAAADQ/gugAQEn8/e9/jxEjRsTZZ5+dFyN98MEH47XXXovjjjuu4HNGjx4d8+bNq9rSSHYAAAAoJjnRAYCSSKPK02j00047LR/37ds3Vl999fjqV78aP/7xj6Nbt27LPadt27Z5AwAAgIZiJDoAUBIfffRRtGxZ86dIq1at8j7lSAcAAIByIIgOANSLBQsWxLRp0/KWzJw5Mz+eNWtWVSqWww8/vOr8oUOHxp133hnXXHNNvPrqq/GXv/wlTjrppBgwYEB07969ZJ8DAADK2ZNPPpnXFUp7oGFI5wIA1IspU6bEzjvvXHU8atSovD/iiCPixhtvjLlz51YF1JMjjzwyPvzww/j5z38ep5xySqy55pqxyy67xEUXXVSS9gMAQLlbtGhRjB07Nv7zn//kfb9+/aJdu3albhY0eYLoAEC9GDx48ArTsKRA+rJOPPHEvAEAAJ9t3Lhx8e677+bHaT9+/Pg46qijSt0saPKkcwEAAACAMjdnzpwcNK8cuJL26TiVA8UliA4AAAAAZSwFzK+44oqC5SuaEQrUnSA6AAAAAJSxtLbQ5MmTY8mSJTXK03Eqr772EFD/BNEBAAAAoIz16tUr+vfvH61atapRno4HDBiQ64HiEUQHAAAAgDLWokWLGDFiRMHytAeKRxAdAAAAAMpcjx494tBDD60KmKd9Ol5vvfVK3TRo8gTRAQAAAKARGD58eHTu3Dk/XnvttXMQHSg+QXQAAAAAaATatWsXo0aNii5dusTIkSPzMVB8rRvgPQAAAACAerDDDjvkDWg4RqIDAAAAAEABgugAAAAAAFCAIDoAAAAAABQgiA4AAABN1JgxY6J///7Rvn37WHfddWO//faL6dOn1zhn0aJFcfzxx0fnzp1jjTXWiGHDhsXbb79d45xZs2bF3nvvHauttlp+ndNOOy0+/fTTBv40QPLkk0/GQQcdlPdAwxBEBwAAgCbqiSeeyAHyp59+OiZOnBiffPJJ7L777rFw4cKqc0aOHBn33HNP3HHHHfn8N998Mw444ICq+iVLluQA+scff5yDdjfddFPceOONcfbZZ5foU0HzlW56jR07Nt/oSvt0DBRf61I3AAAAACiOBx98sMZxCn6nkeRTp06NnXbaKebNmxfXX399jB8/PnbZZZd8zg033BCbbbZZDrxvv/328cc//jH+/ve/x8MPPxxdunSJrbfeOi644II444wz4txzz402bdqU6NNB8zNu3Lh499138+O0T3+7Rx11VKmbBU2ekegAAADQTKSgedKpU6e8T8H0NDp9t912qzpn0003jV69esVTTz2Vj9O+T58+OYBeaY899oj58+fHSy+91OCfAZqrOXPm5KB5RUVFPk77dJzKgeISRAcAAIBmYOnSpXHyySfHV77yldhyyy1z2VtvvZVHkq+55po1zk0B81RXeU71AHplfWVdbRYvXpyD7NU34ItLAfMrrriiYHllYB0oDkF0AAAAaAZSbvQXX3wxbr311gZZ0LRjx45VW8+ePYv+ntCUpcV9J0+enNcoqC4dp/JUDxSPIDoAAAA0cSeccELce++98dhjj0WPHj2qyrt27ZoXDP3ggw9qnJ8WLUx1leek42XrK+tqM3r06Jw6pnKbPXt2ET4VNB8pxVL//v1rrRswYECuB4pHEB0AAACaqJTiIQXQ77rrrnj00Udj/fXXr1G/7bbbxiqrrBKPPPJIVdn06dPzqNZBgwbl47R/4YUX4p133qk6Z+LEidGhQ4fYfPPNa33ftm3b5vrqG/DFtWjRImbMmFFr3csvv5zrgeJpXcTXBgAAAEqcwiUtPPiHP/wh2rdvX5XDPKVYWXXVVfP+6KOPjlGjRuXFRlOw+8QTT8yB8+233z6fu/vuu+dg+be//e24+OKL82uceeaZ+bVTsBwovrSuwPvvv19rXSpP9W5WQfEYiQ4AAABN1DXXXJPTqQwePDi6detWtd12221V51x22WWxzz77xLBhw2KnnXbKKVruvPPOqvpWrVrlVDBpn4Lrhx12WBx++OFx/vnnl+hTQfOT/u7qUg80syD6ueeem6eoVN823XTTqvr0w2DZ+uOOO66kbQYAAIBSpXOpbTvyyCOrzmnXrl1cffXV8d5778XChQtzAH3ZXOe9e/eO+++/Pz766KP497//HT/72c+idWuT26Gh3HjjjXWqB+qmUfZ4W2yxRTz88MNVx8t23Mccc0yNO+KrrbZag7YPAAAAAOrLhAkTPrP+qKOOarD2QHPTKIPoKWheaAXwyqD5iuoBAAAAoLE4+OCD4+abb15hPVA8jS6dS+Wqw927d48NNtgghg8fnlcNr27cuHGx9tprx5ZbbhmjR4/O080AAAAAoDG65JJL6lQPNLOR6AMHDsx5njbZZJOYO3dunHfeefHVr341XnzxxbzS+KGHHppztaUg+/PPPx9nnHFGTJ8+vcaiKMtavHhx3iqlFY0BAAAAoByccsop8dhjj62wHiieRhdEHzJkSNXjvn375qB6CprffvvtcfTRR8exxx5bVd+nT5+86viuu+4ar7zySmy44Ya1vuaYMWNyMB4AAAAAys2ll176mfXnnHNOg7UHmptGmc6lujXXXDM23njjmDFjRq31KcieFKpPUsqXefPmVW2zZ88uWnsBAAAA4PNImRbqUg808yD6ggUL8ijzNOK8NtOmTcv7QvVJ27Zto0OHDjU2AAAAACgHzz33XJ3qgWaWzuXUU0+NoUOH5hQub775Zp6q0qpVqzjkkENyMH38+PGx1157RefOnXNO9JEjR8ZOO+2UU78AAAAAQGOTMi20bt06Pv300+XqUnllJgagOBpdEH3OnDk5YP7uu+/GOuusEzvuuGM8/fTT+fGiRYvi4YcfjssvvzwWLlwYPXv2jGHDhsWZZ55Z6mYDAAAAwBeSgue1BdCr17Vp06bB2wXNRaMLot96660F61LQ/IknnmjQ9gAAAABAMY0ZM+Yz6y0sCsXT6HOiAwAAAEBTduKJJ9apHqgbQXQAAAAAKGPf+9736lQP1I0gOgAAAACUsZ///Od1qgfqRhAdAAAAAMrYyJEj61QPNLOFRanFkk9K3QKAxsv/QwEAgDI3atSoOPXUU1dYDxSPIHoT0P5vt5a6CQAAAAAUyYoC6JX1jz/+eIO1B5ob6VwAAAAAoIydcsopdaoH6sZI9Cbgw60Ojmi1SqmbAdA4LfnEjB4AAKCsXXrppZ9ZP3To0AZrDzQ3guhNQQqgC6IDAAAANEknnnhiXHXVVSusB4pHOhcAAAAAKGMrCqCvTD1QN4LoAAAAAFDGBg8eXKd6oG6kcwEAAACg3lVUVMSiRYtK3Ywm4fHHH//M+v/+978N1p6mql27dtGiRYtSN4MyJIgOAAAAQL1LAfQhQ4aUuhnNhu+67h544IFYddVVS90MypB0LgAAAAAAUICR6AAAAAAUJTVGGtlLcUeb+47r998s1EYQHQAAAIB6l3JLS41RfL5jKD7pXAAAAACgEVh21PlnLTgK1A9BdAAAAABoZKRxgYYjiA4AAAAAAAUIogMAAAAAQAGC6AAAAAAAUIAgOgAAAAAAFCCIDgAAAAAABQiiAwAAAABAAYLoAAAAAABQgCA6AAAAAAAUIIgOAAAAAAAFCKIDAAAAAEABgugAAAAAAFCAIDoAAAAAABQgiA4AAAAAAAUIogMAAAAAQAGC6AAAANBETZo0KYYOHRrdu3ePFi1axIQJE2rUp7LatksuuaTqnC996UvL1V944YUl+DQAUBqC6AAAANBELVy4MLbaaqu4+uqra62fO3duje3Xv/51DpIPGzasxnnnn39+jfNOPPHEBvoEAFB6rUvdAAAAAKA4hgwZkrdCunbtWuP4D3/4Q+y8886xwQYb1Chv3779cucCQHNhJDoAAAAQb7/9dtx3331x9NFHL1eX0rd07tw5ttlmm5zq5dNPPy1JGwGgFIxEBwAAAOKmm27KI84POOCAGuUnnXRS9OvXLzp16hRPPvlkjB49Oqd0GTt2bMHXWrx4cd4qzZ8/v6htB4BiEkQHAAAAcj704cOHR7t27WqUjxo1qupx3759o02bNvG9730vxowZE23btq31tVLdeeedV/Q2A0BDkM4FAAAAmrk//elPMX369Pjud7/7mecOHDgwp3N57bXXCp6TRqvPmzevaps9e3Y9txgAGo4gOgBQLyZNmhRDhw6N7t27R4sWLWLChAmf+Zw0zftHP/pR9O7dO49k+9KXvpRHwQEADev666+PbbfdNrbaaqvPPHfatGnRsmXLWHfddQuek/r1Dh061NgAoLGSzgUAqBcLFy7MF95HHXXUcrlUC/nWt76VFzFLF+5f/vKXc37VpUuXFr2tANBcLFiwIGbMmFF1PHPmzBwET/nNe/XqVZWv/I477ohLL710uec/9dRT8cwzz8TOO++c86Wn45EjR8Zhhx0Wa621VoN+FgAoFUF0AKBeDBkyJG8r68EHH4wnnngiXn311Xwhn6SR6ABA/ZkyZUoOgC+b3/yII46IG2+8MT++9dZbo6KiIg455JBaR5Sn+nPPPTfPIFt//fVzEL16nnQAaOoE0QGAkrj77rtju+22i4svvjh+85vfxOqrrx7f+MY34oILLohVV1211ueki/e0VUoj5wCAwgYPHpwD5Cty7LHH5q02/fr1i6effrpIrQOAxkEQHQAoiTQC/c9//nO0a9cu7rrrrvjPf/4TP/jBD+Ldd9+NG264odbnjBkzJs4777wGbysAAADNl4VFAYCSSLnP0wKk48aNiwEDBsRee+0VY8eOjZtuuin++9//1vqc0aNHx7x586q22bNnN3i7AQAAaF6MRAcASqJbt26x3nrrRceOHavKNttsszzlfM6cObHRRhvVmpc1bQAAANBQBNEBgJL4yle+EnfccUcsWLAg1lhjjVz2r3/9K1q2bBk9evQodfMAgGYm3chftGhRqZsBK1T936h/rzQG7dq1yzOQGztBdACgXqRg+IwZM6qOZ86cGdOmTYtOnTpFr169ciqWN954I26++eZcf+ihh+ZFRL/zne/kPOcpJ/ppp50WRx11VMGFRQEAiiUFJIcMGVLqZsBK23///UvdBPhMDzzwQJO4vmt0OdHPPffcfPei+rbpppvW6PSOP/746Ny5cx7VNmzYsHj77bdL2mYAaA6mTJkS22yzTd6SUaNG5cdnn312Pp47d27MmjWr6vzUT0+cODE++OCD2G677WL48OExdOjQuPLKK0v2GQAAAKBJjETfYost4uGHH646bt36/z7GyJEj47777svTw1OO1RNOOCEOOOCA+Mtf/lKi1gJA8zB48OA8DbqQG2+8cbmydCM8BdIBAMrJgq0PiYqWjTJkQlOXfm8v/fT/PU7/RptAmgyanhZLP401pt0STUmj7BFS0Lxr167Llc+bNy+uv/76GD9+fOyyyy657IYbbsiLlD399NOx/fbbl6C1AAAAQGOSA+itVil1M6CANqVuAKxQ4aFVjVejS+eSvPzyy9G9e/fYYIMN8tTvyqnhU6dOjU8++SR22223GiPcUh7Wp556quDrLV68OObPn19jAwAAAACARhdEHzhwYJ4O/uCDD8Y111yTFy376le/Gh9++GG89dZb0aZNm1hzzTVrPKdLly65rpAxY8bk1C+VW8+ePRvgkwAAAAAAUO4aXTqX6itl9+3bNwfVe/fuHbfffvsXXul19OjRefGzSmkkukA6AAAAAACNbiT6stKo84033jhmzJiR86R//PHH8cEHH9Q45+233641h3qltm3bRocOHWpsAAAAAADQ6IPoCxYsiFdeeSW6desW2267bayyyirxyCOPVNVPnz4950wfNGhQSdsJAAAAAEDj0+jSuZx66qkxdOjQnMLlzTffjHPOOSdatWoVhxxySM5nfvTRR+fULJ06dcojyk888cQcQN9+++1L3XQAAACgMVjySalbANB4LWl6/w9tdEH0OXPm5ID5u+++G+uss07suOOO8fTTT+fHyWWXXRYtW7aMYcOGxeLFi2OPPfaIX/ziF6VuNgAAANBItP/braVuAgBlpNEF0W+9dcUdWbt27eLqq6/OGwAAAAAANKsgOgAAAEAxfbjVwRGtVil1MwAapyWfNLkZPYLoAAAAANWlALogOgD/v5aVDwAAAAAAgJoE0QEAAAAAoABBdAAAAAAAKEAQHQAAAAAAChBEBwAAAACAAgTRAQAAAACgAEF0AAAAAAAolyD6jBkz4qGHHor//ve/+biioqKhmwAAAAAAACuldUO90bvvvhsHHXRQPProo9GiRYt4+eWXY4MNNoijjz461lprrbj00ksbqikAAAAABbVY+mkY8kdZSoNRl376/x63bB3RokWpWwS1/j+0qWmwIPrIkSOjdevWMWvWrNhss82qylNgfdSoUYLodaBzp2zp3GkEmmLnDgBA3awx7ZZSNwGA5hhE/+Mf/5jTuPTo0aNG+UYbbRSvv/56QzWjSdK5AwAAAAA08iD6woULY7XVVluu/L333ou2bds2VDMAAAAAltOuXbt44IEHSt0MWKFFixbF/vvvnx/fdddd+d8tlLN2TeTfaIMF0b/61a/GzTffHBdccEE+TnnRly5dGhdffHHsvPPODdWMJkPnTmOgc6ex8W8UAKD5SnGKVVddtdTNgM91/eLfLDSxIHoKlu+6664xZcqU+Pjjj+P000+Pl156KY9E/8tf/tJQzWgydO40Njp3AAAAABqjlg31RltuuWX861//ih133DH23XffnN7lgAMOiOeeey423HDDhmoGAAAAAACU30j0pGPHjvGjH/2oId8SAAAAAADKP4g+adKkFdbvtNNODdUUAAAAAAAoryD64MGDa83rXWnJkiUN1RQAAAAAACivnOjvv/9+je2dd96JBx98MPr37x9//OMfG6oZAAAAAABQfiPRUz70ZX3961+PNm3axKhRo2Lq1KkN1RQAAAAAACivkeiFdOnSJaZPn17qZgAAAAAAQOlGoj///PM1jisqKmLu3Llx4YUXxtZbb91QzQAAAAAAgPILoqdAeVpINAXPq9t+++3j17/+dUM1AwAAAAAAyi+IPnPmzBrHLVu2jHXWWSfatWvXUE0AAAAAAIDyDKL37t27od4KAAAAAADKP4h+5ZVXrvS5J510UjGbAgAAAM3OpEmT4pJLLompU6fmdcnuuuuu2G+//arqjzzyyLjppptqPGePPfaIBx98sOr4vffeixNPPDHuueeePKt82LBhccUVV8Qaa6zRoJ8FAJpkEP2yyy5bqfNSrnRBdAAAAKhfCxcujK222iqOOuqoOOCAA2o9Z88994wbbrih6rht27Y16ocPH54D8BMnToxPPvkkvvOd78Sxxx4b48ePL3r7AaDJB9GXzYMOAAAANJwhQ4bkbUVS0Lxr16611v3jH//Io9InT54c2223XS676qqrYq+99oqf/exn0b1796K0GwDKSctSNwAAAAAonccffzzWXXfd2GSTTeL73/9+vPvuu1V1Tz31VKy55ppVAfRkt912y2ldnnnmmYKvuXjx4pg/f36NDQAaqwZbWDSZM2dO3H333TFr1qz4+OOPa9SNHTu2IZsCAAAAzV5K5ZLSvKy//vrxyiuvxA9/+MM8cj0Fz1u1ahVvvfVWDrBX17p16+jUqVOuK2TMmDFx3nnnNcAnAIDia7Ag+iOPPBLf+MY3YoMNNoh//vOfseWWW8Zrr70WFRUV0a9fv4ZqBgAAAPD/O/jgg6se9+nTJ/r27RsbbrhhHp2+6667fuHXHT16dIwaNarqOI1E79mzZ53bCwBNOp1L6kBPPfXUeOGFF6Jdu3bx+9//PmbPnh1f+9rX4sADD2yoZgAAAAAFpIFva6+9dsyYMSMfp1zp77zzTo1zPv3003jvvfcK5lGvzLPeoUOHGhsANFYNFkRPi5EcfvjhVVO//vvf/8Yaa6wR559/flx00UUN1QwAAABgBWlYU070bt265eNBgwbFBx98EFOnTq0659FHH42lS5fGwIEDS9hSAGiCQfTVV1+9Kg966oxTrrVK//nPfxqqGQAAANBsLFiwIKZNm5a3ZObMmflxWqss1Z122mnx9NNP53SrKQ3rvvvuG1/+8pdjjz32yOdvttlmOW/6McccE88++2z85S9/iRNOOCGngenevXuJPx0ANLGc6Ntvv338+c9/zh3wXnvtFaecckpO7XLnnXfmOgAAAKB+TZkyJXbeeeeq48o85UcccURcc8018fzzz8dNN92UR5unoPjuu+8eF1xwQU7HUmncuHE5cJ5ypLds2TKGDRsWV155ZUk+DwA06SD62LFj813uJK3QnR7fdtttsdFGG+U6AAAAoH4NHjw4KioqCtY/9NBDn/kanTp1ivHjx9dzywCg8WiwIPpPf/rTOOyww6pSu1x77bUN9dYAAAAAAFDeOdH//e9/5zxqPXv2zDnX/va3vzXUWwMAAAAAQHkH0f/whz/E3Llz46yzzorJkydHv379Yosttsgj1NMCJgAAAAAA0GyD6Mlaa60Vxx57bDz++OPx+uuvx5FHHhm/+c1v8srfAAAAAADQrIPolT755JO8QvgzzzyTR6F36dKlFM0AAAAAAIDyCaI/9thjccwxx+SgeRqF3qFDh7j33ntjzpw5DdkMAAAAAGjUhgwZUuomQLPRuqHeaL311ov33nsvLy563XXXxdChQ6Nt27YN9fYAAAAANKCKiopYtGhRqZvRpJxxxhk1jk8++eQYM2ZMydrT1LRr1y5atGhR6mbQnIPo5557bhx44IGx5pprNtRbAgAAAFAiKYButHRxTZs2zXdcjx544IFYddVVS90MmnMQPaVxAQAAAACAxqTBgugAAAAANK/UGGlkL3U3e/bsOPbYYwvWp9TJPXv2bNA2NdV/s9DkgugXXnhhjB49OkaMGBGXX355Lhs8eHA88cQTNc773ve+F9dee22JWgkAAADQ/KTc0lJj1I8VBdAr6x9//PEGaw80Ny2jkZo8eXL88pe/jL59+9aaOmbu3LlV28UXX1ySNgIAAABAXY0dO7ZO9UAzDKIvWLAghg8fHr/61a9irbXWWq5+tdVWi65du1ZtHTp0KEk7AQAAAKCuTj311DrVA80wiH788cfH3nvvHbvttlut9ePGjYu11147ttxyy5zu5aOPPlrh6y1evDjmz59fYwMAAACAcpDiW3WpB5pZTvRbb701/vrXv+Z0LrU59NBDo3fv3tG9e/d4/vnn44wzzojp06fHnXfeWfA1x4wZE+edd14RWw0AAAAAX8xPfvKTz6z/+te/3mDtgeamdWNbiTgtIjpx4sSCq+VWX2ihT58+0a1bt9h1113jlVdeiQ033LDg3bpRo0ZVHaeR6FY0BgAAAKAcXH755XHyySevsB4onkYVRJ86dWq888470a9fv6qyJUuWxKRJk+LnP/95TsvSqlWrGs8ZOHBg3s+YMaNgEL1t27Z5AwAAAIBys/nmm9epHmhGOdHTiPIXXnghpk2bVrVtt912eZHR9HjZAHqSypM0Ih0AAAAAGpuUirgu9UAzGonevn37vFhodauvvnp07tw5l6eULePHj4+99torl6Wc6CNHjoyddtop+vbtW7J2AwAAAMAXlVK5PPbYYyusB4qnUY1E/yxt2rSJhx9+OHbffffYdNNN45RTTolhw4bFPffcU+qmAQAAAMAXcuqpp9apHmhGI9Fr8/jjj1c9TouBPvHEEyVtDwAAAADUp5Su5Zvf/OYK64HiaVIj0QEAAACgqTnppJPqVA/UjSA6AAAAAJSxX/ziF3WqB+pGEB0AAAAAytivf/3rOtUDdSOIDgAAAABl7LjjjqtTPVA3gugAQL2YNGlSDB06NLp37x4tWrSICRMmrPRz//KXv0Tr1q1j6623LmobAQCgMbr22mvrVA/UjSA6AFAvFi5cGFtttVVcffXVn+t5H3zwQRx++OGx6667Fq1tAADQmB1//PF1qgfqpnUdnw8AkA0ZMiRvn1eaenrooYdGq1atPtfodQAAaC7++te/fmb9oEGDGqw90NwYiQ4AlMwNN9wQr776apxzzjkrdf7ixYtj/vz5NTYAAGjqttlmmzrVA3UjiA4AlMTLL78c//M//xO//e1vcz70lTFmzJjo2LFj1dazZ8+itxMAAErtoosuqlM9UDeC6ABAg1uyZElO4XLeeefFxhtvvNLPGz16dMybN69qmz17dlHbCQAA5SD9Dq5LPVA3cqIDAA3uww8/jClTpsRzzz0XJ5xwQi5bunRpVFRU5FHpf/zjH2OXXXZZ7nlt27bNGwAANCdp/aC61AN1I4gOADS4Dh06xAsvvFCj7Be/+EU8+uij8bvf/S7WX3/9krUNAADKzb333vuZ9fvuu2+DtQeaG0F0AKBeLFiwIGbMmFF1PHPmzJg2bVp06tQpevXqlaeYvvHGG3HzzTdHy5YtY8stt6zx/HXXXTfatWu3XDkAADR3e++9d1x22WUrrAeKR050AKBepPQs22yzTd6SUaNG5cdnn312Pp47d27MmjWrxK0EAIDGJw1GqUs9UDdGogMA9WLw4ME5p3khN9544wqff+655+YNAACoKc3urEs9UDdGogMAAABAGTvqqKPqVA/UjSA6AAAAAJSxG264oU71QN0IogMAAABAGVtjjTWia9eutdZ169Yt1wPFI4gOAAAAAGUsrT3Us2fPWut69OixwrWJgLoTRAcAAACAMjZr1qyYPHlyrXWpPNUDxSOIDgAAAABlrFevXtG/f/9o1apVjfJ0PGDAgFwPFI8gOgAAADRRkyZNiqFDh0b37t2jRYsWMWHChKq6Tz75JM4444zo06dPrL766vmcww8/PN58880ar/GlL30pP7f6duGFF5bg00Dzlf7uRowYEUuXLq1Rno5TeaoHikcQHQAAAJqohQsXxlZbbRVXX331cnUfffRR/PWvf42zzjor7++8886YPn16fOMb31ju3PPPPz/mzp1btZ144okN9AmA6rnPaxuJvt5665WsTdBctC51AwAAAIDiGDJkSN5q07Fjx5g4cWKNsp///Oc5NUTKr1w9PUT79u2ja9euRW8vUNgtt9wSn376aY2ydJzKDznkkJK1C5oDI9EBAACAbN68eTktxJprrlmjPKVv6dy5c2yzzTZxySWXLBfIW9bixYtj/vz5NTbgi0t/c7/85S9rrUvln/U3CdSNIDoAAAAQixYtyjnS04jWDh06VJWfdNJJceutt8Zjjz0W3/ve9+KnP/1pnH766St8rTFjxuSR7pVbz549G+ATQNN1880316keqBtBdAAAAGjm0iKj3/rWt6KioiKuueaaGnWjRo2KwYMHR9++feO4446LSy+9NK666qo82ryQ0aNH51Htldvs2bMb4FNA05UW/a1LPVA3gugAAADQjFUG0F9//fWcI736KPTaDBw4MKeOeO211wqe07Zt2/w61Tfgi2vdunWeCVKb73//+7keKB5BdAAAAGjmAfSXX345Hn744Zz3/LNMmzYtWrZsGeuuu26DtBH4f1KqpVVXXbVG2WqrrRYHHXRQydoEzYXbVAAAANBELViwIGbMmFF1PHPmzBwE79SpU3Tr1i2++c1vxl//+te49957Y8mSJfHWW2/l81J9mzZt4qmnnopnnnkmdt5552jfvn0+HjlyZBx22GGx1lprlfCTQfO02267xT333FPjGCg+QXQAAABooqZMmZID4NXzmydHHHFEnHvuuXH33Xfn46233rrG89IioikPekrLkhYVTeemHOjrr79+DqJXvg7QcObMmRP3339/jbJ0nGaT9OjRo2TtguZAEB0AAACaqBQIT4uFFrKiuqRfv37x9NNPF6FlwOeR/lavuOKKguUXX3xxtGjRoiRtg+ZATnQAAAAAKGOzZs2KyZMn57RL1aXjVJ7qgeIRRAcAAACAMtarV6/o379/rXUDBgzI9UDxCKIDAAAAQBlLqVrSiPPaPPvss1K5QJEJogMAAABAGXv11VfrVA/UjSA6AAAAAJSxo446qk71QN0IogMAAABAGbv++uvrVA/UjSA6AAAAAJSx1q1b16keqBtBdAAAAAAoY7169Yr+/fvXWjdgwIBcDxSPIDoAAAAAlLEWLVrEiBEjaq1L5akeKB5BdAAAAAAoc2+99Vat5XPnzm3wtkBzI4gOAAAAAGVs6dKlcf7559dal8pTPVA8gugAAAAAUMaeeeaZmD9/fq11qTzVA8UjiA4AAAAAZWzgwIHRoUOHWus6duyY64HiEUQHAAAAgDLWsmXLOPvss2utO+ecc3I9UDz+wgAAAACgzG233XbRp0+fGmV9+/aNfv36laxN0Fw06iD6hRdeGC1atIiTTz65qmzRokVx/PHHR+fOnWONNdaIYcOGxdtvv13SdgIAAABAXZ155pk1jn/0ox+VrC3QnDTaIPrkyZPjl7/8Zb7jVt3IkSPjnnvuiTvuuCOeeOKJePPNN+OAAw4oWTsBAAAAoD7ce++9NY7vu+++krUFmpNGGURfsGBBDB8+PH71q1/FWmutVVU+b968uP7662Ps2LGxyy67xLbbbhs33HBDPPnkk/H000+XtM0AAAAA8EXNmTMnxo8fX6MsHadyoLgaZRA9pWvZe++9Y7fddqtRPnXq1Pjkk09qlG+66abRq1eveOqpp0rQUgAAAACom4qKirjiiiti6dKlNcqXLFmSy1M9UDyto5G59dZb469//WtO57Kst956K9q0aRNrrrlmjfIuXbrkukIWL16ct0rz58+v51YDAAAAwBcza9asWmNhKXieylN97969S9I2aA4a1Uj02bNnx4gRI2LcuHHRrl27envdMWPGRMeOHau2nj171ttrAwAAAEBdpFhVhw4daq1L5WJZUFyNKoie0rW888470a9fv2jdunXe0uKhV155ZX6cRpx//PHH8cEHH9R43ttvvx1du3Yt+LqjR4/O+dQrtxSsBwAAAIBykGJVhTInpHKxLCiuRpXOZdddd40XXnihRtl3vvOdnPf8jDPOyHfdVllllXjkkUdi2LBhuX769Ol5SsugQYMKvm7btm3zBgAAAADlOhK9tkC6kehQfI0qiN6+ffvYcssta5Stvvrq0blz56ryo48+OkaNGhWdOnXK/xM58cQTcwB9++23L1GrAQAAAKC4I9HlRIfiaVRB9JVx2WWXRcuWLfNI9LRY6B577BG/+MUvSt0sAAAAAPhCUgrjutQDzTyI/vjjj9c4TguOXn311XkDAAAAgMbu7LPP/sz6iy++uMHaA81No1pYFAAAAACamwsuuKBO9UDdCKIDAAAAQBlbZZVVolWrVrXWpfJUDxSPIDoAAAAAlLFnnnkmlixZUmtdKk/1QPE0+pzoUF8qKipi0aJFpW5Gk1L9+/Td1r+0BkSLFi1K3QwAAACKbMCAAXnEeW2B9FSe6oHiEUSHakHeIUOGlLoZTdb+++9f6iY0OQ888ECsuuqqpW4GAAAARTZnzpwVjkRP9b17927wdkFzIZ0LAAAAAJSxXr16Rf/+/WutS6PQUz1QPEaiQ7XUGGlkL/WbImfx4sX5cdu2baUeKcK/WQAAAJq+dD09YsSI+Pa3v52vtZctd70NxSWIDv+/1OFIjVH/VltttVI3AQAAABq9Hj16xNprrx3//ve/q8rWWWedWG+99UraLmgOpHMBAAAAgDI3ZcqUGgH05J133snlQHEJogMAAABAGVu6dGmcf/75tdal8lQPFI8gOgAAAACUsWeeeSbmz59fa10qT/VA8QiiAwAAAEAZ69+/f53qgboRRAcAAACAMjZ58uQ61QN1I4gOAAAAAGVs4MCB0aFDh1rrOnbsmOuB4hFEBwAAAIAy1rJlyzj77LNrrTvnnHNyPVA8/sIAAAAAoMxtt9120adPnxplffv2jX79+pWsTdBcCKIDAABAEzVp0qQYOnRodO/ePVq0aBETJkyoUV9RUZFHt3br1i1WXXXV2G233eLll1+ucc57770Xw4cPz6kk1lxzzTj66KNjwYIFDfxJgOSCCy6ocXz++eeXrC3QnAiiAwAAQBO1cOHC2GqrreLqq6+utf7iiy+OK6+8Mq699tp45plnYvXVV4899tgjFi1aVHVOCqC/9NJLMXHixLj33ntzYP7YY49twE8BVFq8ePEKj4HiaF2k1wUAAABKbMiQIXmrTRqFfvnll8eZZ54Z++67by67+eabo0uXLnnE+sEHHxz/+Mc/4sEHH4zJkyfnVBLJVVddFXvttVf87Gc/yyPcgYZzwgkn1Dg+8cQT4/bbby9Ze6C5MBIdAAAAmqGZM2fGW2+9lVO4VOrYsWMMHDgwnnrqqXyc9imFS2UAPUnnp0UM08h1oOGkG1r//ve/a5S98847uRwoLkF0AAAAaIZSAD1JI8+rS8eVdWm/7rrr1qhv3bp1dOrUqeqc2qQUE/Pnz6+xAV/ckiVL4pJLLqm1LpWneqB4BNEBAACAejVmzJg8qr1y69mzZ6mbBI1aWo+gUKA8lad6oHgE0QEAAKAZ6tq1a96//fbbNcrTcWVd2qd0EdV9+umn8d5771WdU5vRo0fHvHnzqrbZs2cX5TNAc7H33nvXqR6oG0F0AAAAaIbWX3/9HAh/5JFHqspS2pWU63zQoEH5OO0/+OCDmDp1atU5jz76aCxdujTnTi+kbdu20aFDhxob8MW98cYbdaoH6qZ1HZ8PAAAAlKkFCxbEjBkzaiwmOm3atJzTvFevXnHyySfHj3/849hoo41yUP2ss86K7t27x3777ZfP32yzzWLPPfeMY445Jq699tr45JNP4oQTToiDDz44nwc0jJQSKd2Mqm19gVQuZRIUlyA6AAAANFFTpkyJnXfeuep41KhReX/EEUfEjTfeGKeffnosXLgwjj322DzifMcdd4wHH3ww2rVrV/WccePG5cD5rrvuGi1btoxhw4bFlVdeWZLPA81VSolUaIHeVJ7qe/fu3eDtguZCEB0AAACaqMGDB0dFRUXB+hYtWsT555+ft0LSqPXx48cXqYXAyjASHUpLTnQAAAAAaOQj0YHiEUQHAAAAgEYwEr02RqJD8QmiAwD1YtKkSTF06NC8yFiaGj5hwoQVnn/nnXfG17/+9VhnnXXyD/9BgwbFQw891GDtBQCAxsJIdCgtQXQAoF6kRcm22mqruPrqq1c66J6C6Pfff39MnTo1L3qWgvDPPfdc0dsKAACNSa9evaJ///55sEp16XjAgAG5HigeC4sCAPViyJAheVtZl19+eY3jn/70p/GHP/wh7rnnnthmm22K0EIAAGicUrB8xIgRccQRR8SSJUuqylu1apXLlw2uA/XLSHQAoCwsXbo0Pvzww+jUqVOpmwIAAGWnR48eceihh1YFzNM+Ha+33nqlbho0eYLoAEBZ+NnPfhYLFiyIb33rWwXPWbx4cc75WH0DAIDmYvjw4dG5c+f8eO21185BdKD4BNEBgJIbP358nHfeeXH77bfHuuuuW/C8MWPGRMeOHau2nj17Nmg7AQCglNq1axejRo2KLl26xMiRI/MxUHyC6ABASd16663x3e9+NwfQd9tttxWeO3r06Jg3b17VNnv27AZrJwAAAM2ThUUBgJK55ZZb4qijjsqB9L333vszz2/btm3eAACgOVq0aFGMHTs2/vOf/+R9v379jEaHBmAkOgBQL1I+82nTpuUtmTlzZn48a9asqlHkhx9+eI0ULun40ksvjYEDB8Zbb72VtzTCHAAAWN64cePi3XffzY/TPv2mBopPEB0AqBdTpkyJbbbZJm9JytWYHp999tn5eO7cuVUB9eS6666LTz/9NI4//vjo1q1b1TZixIiSfQYAAChXc+bMyUHzioqKfJz26TiVA8UlnQsAUC8GDx5c9YO+NjfeeGON48cff7wBWgUAAI1f+p19xRVXFCy/+OKLo0WLFiVpGzQHRqIDAAAAQBlLMzonT54cS5YsqVGejlN59RmfQP0TRAcAAACAMtarV6/o379/tGrVqkZ5Oh4wYECuB4pHEB0AAAAAylhK1VLb2kGV5VK5QHEJogMAAABAmevRo0cceuihVQHztE/H6623XqmbBk2eIDoAAAAANALDhw+Pzp0758drr712DqIDxSeIDgAAAACNQLt27WLUqFHRpUuXGDlyZD4Giq91A7wHAAAAAFAPdthhh7wBDcdIdAAAAAAAaCpB9GuuuSb69u0bHTp0yNugQYPigQceqKofPHhwXlih+nbccceVtM0AAAAAADROrRvjSsQXXnhhbLTRRlFRURE33XRT7LvvvvHcc8/FFltskc855phj4vzzz696zmqrrVbCFgMAAAAA0Fg1uiD60KFDaxz/5Cc/yaPTn3766aogegqad+3atUQtBAAAAACgqWh06VyqW7JkSdx6662xcOHCnNal0rhx42LttdeOLbfcMkaPHh0fffRRSdsJAAAAAEDj1OhGoicvvPBCDpovWrQo1lhjjbjrrrti8803z3WHHnpo9O7dO7p37x7PP/98nHHGGTF9+vS48847C77e4sWL81Zp/vz5DfI5AAAAAAAob40yiL7JJpvEtGnTYt68efG73/0ujjjiiHjiiSdyIP3YY4+tOq9Pnz7RrVu32HXXXeOVV16JDTfcsNbXGzNmTJx33nkN+AkAAAAAAGgMGmU6lzZt2sSXv/zl2HbbbXMAfKuttoorrrii1nMHDhyY9zNmzCj4einlSwrIV26zZ88uWtsBAAAAAGg8GuVI9GUtXbq0RjqW6tKI9SSNSC+kbdu2eQMAAAAAgEY9Ej2NGp80aVK89tprOTd6On788cdj+PDhOWXLBRdcEFOnTs31d999dxx++OGx0047Rd++fUvddAAAAACokyeffDIOOuigvAcaRqMbif7OO+/kwPjcuXOjY8eOOTj+0EMPxde//vWchuXhhx+Oyy+/PBYuXBg9e/aMYcOGxZlnnlnqZgMAAABAnSxatCjGjh0b//nPf/K+X79+0a5du1I3C5q8RhdEv/766wvWpaB5WmAUAAAAAJqacePG5QB6kvbjx4+Po446qtTNgiav0aVzAQAAAIDmZs6cOTmIXl06TuVAcQmiAwAAAEAZq6ioiCuuuCLvq1u6dGmt5UD9EkQHAAAAgDI2a9asmDx58nLB8nScylM9UDyC6AAAAABQxtI6gB06dKi1LpWneqB4BNEBAAAAoIzNnj075s+fX2tdKk/1QPEIogMAAABAGevVq1f0798/WrRoUaM8HQ8YMCDXA8UjiA4AAAAAZSwFy0eMGBEtW9YM5bVq1SqXLxtcB+qXIDoAAAAAlLkePXrEoYceWhUwT/t0vN5665W6adDkCaIDAAAAQCMwfPjwaN++fX6c9imIDhSfIDoAAAAANBIVFRU19kDxCaIDAABAM/alL30pp4VYdjv++ONz/eDBg5erO+6440rdbGiWxo0bFx9++GF+nPbjx48vdZOgWWhd6gYAAAAApTN58uRYsmRJ1fGLL74YX//61+PAAw+sKjvmmGPi/PPPrzpebbXVGryd0NzNmTMnfvvb39YoS8e77757zpcOFI+R6AAAANCMrbPOOtG1a9eq7d57740NN9wwvva1r9UImlc/p0OHDiVtMzQ3KXXLFVdcsVwKl6VLl9ZaDtQvQXQAAAAg+/jjj/PI1qOOOiqnbameQmLttdeOLbfcMkaPHh0fffRRSdsJzc2sWbPyrJHapPJUDxSPdC4AAABANmHChPjggw/iyCOPrCo79NBDo3fv3tG9e/d4/vnn44wzzojp06fHnXfeWfB1Fi9enLdK8+fPL3rboSlL6VpatWpVI/VSpVQunQsUlyA6AAAAkF1//fUxZMiQHDCvdOyxx1Y97tOnT3Tr1i123XXXeOWVV3Lal9qMGTMmzjvvvAZpMzQHzz77bK0B9CSVp/pBgwY1eLuguZDOBQAAAIjXX389Hn744fjud7+7wvMGDhyY9zNmzCh4Tkr5Mm/evKpt9uzZ9d5eaE4GDBiQR5zXJpWneqB4jEQHAAAA4oYbboh111039t577xWeN23atLxPI9ILadu2bd6A+jFnzpwVjkRP9SntElAcRqIDAABAM7d06dIcRD/iiCOidev/G2+XUrZccMEFMXXq1Hjttdfi7rvvjsMPPzx22mmn6Nu3b0nbDM1Jr169on///rXWpVHoqR4oHkF0AAAAaOZSGpdZs2bFUUcdVaO8TZs2uW733XePTTfdNE455ZQYNmxY3HPPPSVrKzRHLVq0iIMOOqjWulSe6oHikc4FAAAAmrkUJK+oqFiuvGfPnvHEE0+UpE3A/0l/n7fddlsOllf/W03Ht956a/Tr108gHYrISHQAAAAAKGNppsjkyZOXu9mVjlN5qgeKRxAdAAAAAMpYynnep0+fWuvS+gRyokNxCaIDAAAAQCNVWyomoH4JogMAAABAGUvpWl544YVa61K5dC5QXILoAAAAAFDG1ltvvTrVA3UjiA4AAAAAZey+++6rUz1QN4LoAAAAAFDG9tlnn2jVqlWtda1bt871QPEIogMAAABAGUsB9AMPPLDWum9+85sFA+xA/RBEBwAAAIAytnTp0rj//vtrrUvlqR4oHkF0AAAAAChjzzzzTMyfP7/WulSe6oHiEUQHAAAAgDK23Xbb1akeqBtBdAAAAAAoY4VSuaxsPVA3gugAAAAAUMb23nvvOtUDdSOIDgAAAABl7I033qhTPVA3gugAAAAAUMZ69OgRrVq1qrUulad6oHgE0QEAAACgjD377LOxZMmSWutSeaoHikcQHQAAAADK2IABA1Y4Ej3VA8UjiA4AAAAAZWzOnDkrHIme6oHiEUQHAAAAgDLWq1ev6N+/f611aRR6qgeKRxAdAAAAAMpYixYtYsSIEXlfXcuWLWstB+qXIDoAAAAAlLkePXrEYYcdVqMsHa+33nolaxM0F4LoAAAAANAIDB8+PNq3b58fd+jQIQ499NBSNwmaBUF0AAAAAGgkpG6BhieIDgAAAACNwLhx42L+/Pn5cdqPHz++1E2CZkEQHQAAAADK3Jw5c3IQvbp0nMqB4hJEBwAAAIAyVlFREVdccUXeV7d06dJay4H6JYgOFNWTTz4ZBx10UN4DAAAAn9+sWbNi8uTJywXL03EqT/VA8TS6IPo111wTffv2zSsQp23QoEHxwAMPVNUvWrQojj/++OjcuXOsscYaMWzYsHj77bdL2mZortLf49ixY/PfYNqnYwAAAODz6dmzZ46D1SaVp3qgeBpdEL1Hjx5x4YUXxtSpU2PKlCmxyy67xL777hsvvfRSrh85cmTcc889cccdd8QTTzwRb775ZhxwwAGlbjY0Syk327vvvpsfp70FTwAAAODzmz17dtWCostK5akeKJ5GF0QfOnRo7LXXXrHRRhvFxhtvHD/5yU/yiPOnn3465s2bF9dff30e8ZqC69tuu23ccMMNOY1EqgcaTlrYJAXNK6eapX06tuAJAAAAfD69evWK/v3711o3YMCAXA8UT6MLole3ZMmSuPXWW2PhwoU5rUsanf7JJ5/EbrvtVnXOpptumv9H8tRTTxV8ncWLF+e7dtU3oO4LnhQqt+AJAAAArLwWLVrk9cZqk8pTPVA8jTKI/sILL+TR523bto3jjjsu7rrrrth8883jrbfeijZt2sSaa65Z4/wuXbrkukLGjBkTHTt2rNrkkYL6WfAk3eiqLh1b8AQAAAA+nzQY7bbbblsuWJ6O0wBTg9WguBplEH2TTTaJadOmxTPPPBPf//7344gjjoi///3vX/j1Ro8enVPBVG7ySEHdpNkfffr0qbUuLQxsmhk0TZMmTcpp17p3755/zE+YMOEzn/P4449Hv3798o3xL3/5y3HjjTc2SFsBAKAxDlZbNliejg1Wg+JrlEH0NNo8XWinnOdpFPlWW22VU0R07do1Pv744/jggw9qnP/222/nukLShXtaybj6BtRNSpNUm0WLFjV4W4CGkdKrpT756quvXqnzZ86cGXvvvXfsvPPO+eb4ySefHN/97nfjoYceKnpbAQCgMeZEb9myZiivVatWcqJDA2iUQfRlLV26NAfsUlB9lVVWiUceeaSqbvr06fluXMqZDjSM119/Pf71r3/VWpfKUz3Q9AwZMiR+/OMfx/77779S51977bWx/vrrx6WXXhqbbbZZnHDCCfHNb34zLrvssqK3FQAAGpM003PEiBG1jkRP5XKiQ3G1jkYmpV5JF+npDtuHH34Y48ePz1PB06i1lM/86KOPjlGjRkWnTp3yiPITTzwxB9C33377UjcdAKgmLfpdfTHwZI899sgj0puqFp8siooln5S6GY1funZc+mmpWwErr2XrCLGNOmuxtOZ6OwD8vyC6fOhQfI0uiP7OO+/E4YcfHnPnzs1B85RfOQXQv/71r+f6NHotTW0ZNmxYHp2eLsZ/8YtflLrZ0Kykm1xp8d8FCxYsV5fKTTMDkrTod1r8u7p0PH/+/Pjvf/8bq6666nLPSX179XRR6dzGZI0X7ih1EwAAaIRSoDylMk4jzqsHzdNxKr/44ouNRocianRB9Ouvv36F9e3atcu5WFc2HytQ/9LivLUF0JNUnup79+7d4O0CGr+0Fsp5551X6mYAAEBJFhatLcVx5cKirrOheBpdEB1oPAueLNvBp7viqdxIdCBJi36nxb+rS8cpHVtto9Ar07qltG3VR6L37Nkzylm6wf/AAw9YWLkepdFXhRawhnLUtm1bowPr+f+raQNojtfZf/3rX2PJkiU1FhZNawS6zobiEkQHirbgSUq9lO6KV0qplix4AlRKa5bcf//9NcomTpy4wsXAUyAqbY1J+n9euilQ6MYAAACs7HX2EUccUWu562worpZFfn2gmerRo0cMHz68Rlk6Xm+99UrWJqC4UrqmadOm5S2ZOXNmfpymllaOIk831yodd9xx8eqrr8bpp58e//znP/MaJrfffnuMHDmyZJ8BAADK+Tr70EMPrQqYp306dp0NxSeIDhRNCpqvvfba+fE666yTO3eg6ZoyZUpss802eUtS2pX0+Oyzz87HaVHwyoB6sv7668d9992XR59vtdVWcemll8b//u//5kXBAQCA2q+zO3funB+n623X2dAwWlRUX9KXqvyqHTt2jHnz5uW8rMAX9+STT+aVwtP0sh122KHUzQGaGH02ADQO+myoP66zoeEZiQ4UVerQb7vtNh07AACUqXPPPTenhai+bbrpplX1aXHs448/Po9+XWONNWLYsGHLLQ4ONBzX2dDwBNEBAACgmdtiiy1y6rXK7c9//nNVXVqv5J577ok77rgjnnjiiXjzzTfjgAMOKGl7AaAhtW7QdwMAAADKTuvWraNr167Llaf0K9dff32MHz8+dtlll1x2ww03xGabbRZPP/10bL/99iVoLQA0LCPRAQAAoJl7+eWXo3v37rHBBhvkhQsrFwOfOnVqfPLJJ7HbbrtVnZtSvfTq1Sueeuqpgq+3ePHinAe9+gYAjZUgOgAAADRjAwcOjBtvvDEefPDBuOaaa2LmzJnx1a9+NT788MN46623ok2bNrHmmmvWeE6XLl1yXSFjxozJC4lWbj179myATwIAxSGdCwAAADRjQ4YMqXrct2/fHFTv3bt33H777bHqqqt+odccPXp0jBo1quo4jUQXSAegsTISHQAAAKiSRp1vvPHGMWPGjJwn/eOPP44PPvigxjlvv/12rTnUK7Vt2zY6dOhQYwOAxkoQHQAAAKiyYMGCeOWVV6Jbt26x7bbbxiqrrBKPPPJIVf306dNzzvRBgwaVtJ0A0FCkcwEAAIBm7NRTT42hQ4fmFC5vvvlmnHPOOdGqVas45JBDcj7zo48+Oqdm6dSpUx5RfuKJJ+YA+vbbb1/qpgNAgxBEBwAAgGZszpw5OWD+7rvvxjrrrBM77rhjPP300/lxctlll0XLli1j2LBhsXjx4thjjz3iF7/4RambDQANpkVFRUVFw71d45AWPEl32+fNmydvGwCUMX02ADQO+mwAGjM50QEAAAAAoABBdAAAAAAAKEBO9FpUZrhJ080AoNy0b98+WrRoUepmlAV9NgDlTJ/9f/TZADTmPlsQvRYffvhh3vfs2bPUTQGA5cgl+n/02QCUM332/9FnA9CY+2wLi9Zi6dKl8eabbxo1APUgjTRJP5Rnz57tAgLqif7p/+izof7os6H+6Z/+jz4b6o8+G+qfkehfQMuWLaNHjx6lbgY0Kalj17kD9U2fDfVPnw0Ugz4b6p8+GxqOhUUBAAAAAKAAQXQAAAAAAChAEB0oqrZt28Y555yT9wBA+dJnA0DjoM+GhmdhUQAAAAAAKMBIdAAAAAAAKEAQHQAAAAAAChBEBwAAAACAAgTRAQAAAACgAEF0AAAAAAAoQBAdAAAAAAAKEEQHAAAAAIACBNEBAAAAAKAAQXQAAAAAAChAEB0AAAAAAAoQRAcAAAAAgAIE0QEAAAAAoABBdAAAAAAAKEAQHZqI1157LVq0aBHTpk1b6ecceeSRsd9++63wnMGDB8fJJ58czfl7uvHGG2PNNdcsarsAaN7041/cueeeG1tvvXU09+8BgIahzy5unw3lqnWpGwDUj549e8bcuXNj7bXXLnVTmuX3lH4UffDBBzFhwoR6fV0Amgf9eHHdeeedscoqq5S6GQA0AfpsaJ4E0aEJ+Pjjj6NNmzbRtWvXUjel7LVq1cr3BEBZ0Y8XX6dOnUrdBACaAH02NF/SuUADuu6666J79+6xdOnSGuX77rtvHHXUUfnxK6+8ko+7dOkSa6yxRvTv3z8efvjhGud/6UtfigsuuCAOP/zw6NChQxx77LHLTSlbsmRJHH300bH++uvHqquuGptssklcccUVtbbrvPPOi3XWWSe/1nHHHZd/GBSyePHiOPXUU2O99daL1VdfPQYOHBiPP/54FEt6r3322afq+PLLL8+f88EHH6wq+/KXvxz/+7//W3WcHm+22WbRrl272HTTTeMXv/jFCqfe3X333bHRRhvl83feeee46aab8jlpZHl1Dz30UH7d9N9lzz33zKMPKqekpef84Q9/yM9LWzG/EwBKQz/+xYwdOzb69OmT3y+N3vvBD34QCxYsWC5tWprNVdkf77HHHjF79uzP9T6/+c1v8nfbsWPHOPjgg+PDDz9sVlPkAfg/+uzy7rMrpf8+559/fvTo0SPatm2bU71Uv9aHciKIDg3owAMPjHfffTcee+yxqrL33nsvdxLDhw/Px6mD2muvveKRRx6J5557Lgdrhw4dGrNmzarxWj/72c9iq622yuecddZZtXZGqSO644474u9//3ucffbZ8cMf/jBuv/32Guel9/nHP/6RO+NbbrklT3dOHXshJ5xwQjz11FNx6623xvPPP58/U2rjyy+/XPA5Q4YMyT9KCm1bbLFFwed+7Wtfiz//+c/5h0nyxBNP5GlzlT8e3njjjfzjJ10cJ+PGjcuf9Sc/+Un+XD/96U/z95OC3LWZOXNmfPOb38z56f72t7/F9773vfjRj3603HkfffRR/s7TBfqkSZPyf4/0gyZJ+29961tVgfW07bDDDgU/EwCNk3788/fjScuWLePKK6+Ml156KffHjz76aJx++unL9bOp77755pvjL3/5S76RnQLhKyv9FkgX9Pfee2/e0u+FCy+8cKWfD0DTos8u3z67unSz4dJLL83fcfqMKSD/jW98Y4WfEUqmAmhQ++67b8VRRx1VdfzLX/6yonv37hVLliwp+Jwtttii4qqrrqo67t27d8V+++1X45yZM2dWpD/p5557ruDrHH/88RXDhg2rOj7iiCMqOnXqVLFw4cKqsmuuuaZijTXWqGrP1772tYoRI0bkx6+//npFq1atKt54440ar7vrrrtWjB49uuD7zpkzp+Lll18uuL322msFn/v+++9XtGzZsmLy5MkVS5cuze0dM2ZMxcCBA3P9b3/724r11luv6vwNN9ywYvz48TVe44ILLqgYNGhQrd/TGWecUbHlllvWOP9HP/pRPie9d3LDDTfk4xkzZlSdc/XVV1d06dKlxneZ/tsC0LTpxz9fP16bO+64o6Jz585Vx5X97NNPP11V9o9//COXPfPMM5/5euecc07FaqutVjF//vyqstNOO63qt8Ky3wMAzYM+uzz77K222qrqOP33+MlPflLjnP79+1f84Ac/+FzthIYgJzo0sHTX+5hjjskpRtJ0pTRyOt21TXd8K++Gp/Qg9913Xx7R/Omnn8Z///vf5e6Gb7fddp/5XldffXX8+te/zs9Nr5Gmii27Ena6o77aaqtVHQ8aNCi3IU3H6t27d41zX3jhhTwifOONN15umlnnzp0LtiNNP/ui0lSx1MZ0tz7lnktbmkJ3zjnn5HamkWZptHqycOHCPBItTaVL33Gl9B2mqd21mT59ep62V92AAQOWOy99RxtuuGHVcbdu3eKdd975wp8LgMZJP/75panxY8aMiX/+858xf/78/J0sWrQoj2SrbHvr1q1r9McpHVv6DZBG7NXWLy8rTbdv37591bF+GgB9dnn22ZXS67/55pvxla98pUZ5Ok6zxKHcCKJDA0vTwyoqKnJHnTqeP/3pT3HZZZdV1afUIBMnTszTmVKu75RTLaUbWTZXWspRtiJpyld6rTQ1KnXO6cLykksuiWeeeeYLtz118GlhzqlTp+Z9dWlq2IqmlKXPWUj6wZCmixWSUrWkIHr64ZMC5mlxsJSbPKV5SUH0U045pap9ya9+9aucL666Zdv7ea2yyio1jlMOvPTfEYDmRT/++frxlDc2rW3y/e9/P0/9Tn146r/TDe/0nVQPJtR3P71sHlwAmhd9dnn22dBYCaJDA0sLbxxwwAH5LviMGTPyoiP9+vWrqk85xY488sjYf//9qzrP1Jl9Xul1Ul7utBBIpTRKe1npDm+6U55+MCRPP/107pTTIiLL2mabbfLd8DSy66tf/epKtyUt9JneY2UvfJeVAufprn66451ywFUG1lMeuX/9619V+dDTgjBp8ZhXX321Ks/dZ0nf//3331+jbPLkyfF5pRHylXnbAWi69OOfrx9PF/8pmJ0CC5Uj/5bNEZukkW5TpkypGsGWZoqlHKvppjkAfBH67PLus9Piqun6PX1/lbPLk3T8eUa0Q0MRRIcSSAHedIc33QE+7LDDatSlFa7TAiPprnkaRZUWLvkiI6nS66SFPh566KG8SnhaEDMFh9Pj6tId5XRn+cwzz8w/GFKalLSASWWnWV2aSpbanlYmTx1r6tj//e9/5wVS+vbtG3vvvXdRppTttNNO8eGHH+aFwioXCUuB8zRKIE3Xrj7FLS3MctJJJ+X0LSngnqa7pQ7+/fffj1GjRi332mkh0bQC+RlnnJG/h7TCelpxPEnf/8pK08jTd51+QKTpden9P+vmAACNk3585aWRfZ988klcddVV+TtJF8bXXnvtcuelPvPEE0/Mi5mlm+bpM2y//fYuogGoE312effZp512Wv4eUurUlP7mhhtuyNfk6cYHlJvl/1KBottll13y1KgUcD300ENr1KWA7lprrZXvZKeOK61OXf1u+cpKweF01/2ggw7KqU3SyuTV74xX2nXXXXOnnwLV6dy0EnbKC1dI6tRSR55SqKQ7+fvtt1/+gdCrV68olvR99OnTJ9ZZZ52cby1J7U0/cKrfsU6++93v5rvvqZ3pOak+BcWX/QFTKZX/7ne/yz+e0o+Ra665Jn70ox/lupQ+ZmWlXHvp+0j58lI70w8OAJom/fjKS/lf03dy0UUXxZZbbpkvilOu1WWlKeLphnb6PlMu1DQy77bbbitKmwBoPvTZ5d1npwFwabBb+ozp+v3BBx+Mu+++O39PUG5apNVFS90IgHKS8r+lO+5pgRcAoLjSze6TTz45TwUHAMqXPpvmTDoXoNlLq7WnhWZSGpY0gjwtApOmpAEAAACAdC5As/fyyy/HvvvuG5tvvnlccMEFeSrZiqbVAQANZ4sttshTxWvb5EwFgPKhz6Ypk84FAAAoW6+//npe6Kw2Xbp0ifbt2zd4mwCA5emzacoE0QEAAAAAoADpXAAAAAAAoABBdAAAAAAAKEAQHQAAAAAAChBEr0VKEz9//vy8BwDKlz4bABoHfTYAjZkgei0+/PDD6NixY94DAOVLnw0AjYM+G4DGTBAdAAAAAAAKEEQHAAAAAIACBNEBAAAAAKAAQXQAAAAAAChAEB0AAAAAAAoQRAcAAAAAgAIE0QEAAAAAoABBdAAAAAAAKEAQHQAAAAAAChBEBwAAAACAAgTRAQAAAACgAEF0AAAAAAAoQBAdAAAAAAAKEEQHAAAAAIACBNGBorr++utjl112yXsAoHw9+eSTcdBBB+U9AFC+9NnQzIPoY8aMif79+0f79u1j3XXXjf322y+mT59e45xFixbF8ccfH507d4411lgjhg0bFm+//XaNc2bNmhV77713rLbaavl1TjvttPj0008b+NMAH3zwQYwbNy6WLl2a9+kYKL1JkybF0KFDo3v37tGiRYuYMGHCcuf84x//iG984xvRsWPHWH311XP/nPrX+u6PH3/88ejXr1+0bds2vvzlL8eNN95YxE8OFJL+pseOHZv/jtM+HQMA5UefDaVRVkH0J554Il+QP/300zFx4sT45JNPYvfdd4+FCxdWnTNy5Mi455574o477sjnv/nmm3HAAQdU1S9ZsiRfsH/88cf5jtxNN92UL8jPPvvsEn0qaL7OOuusHEBP0t7fIZSH1K9utdVWcfXVV9da/8orr8SOO+4Ym266aQ5yP//88/nvuV27dvXaH8+cOTOfs/POO8e0adPi5JNPju9+97vx0EMPFfkbAJaVbna/++67+XHajx8/vtRNAgBqoc+G0mhRUVFREWXq3//+dx65li7Od9ppp5g3b16ss846+X8Q3/zmN/M5//znP2OzzTaLp556Krbffvt44IEHYp999skX8126dMnnXHvttXHGGWfk12vTps1nvu/8+fPzyLv0fh06dCj654SmaMqUKXHqqacuV/6zn/0stttuu5K0CVheGol+11135dlflQ4++OBYZZVV4je/+U2tz6mv/jg9vu++++LFF1+s8d5p1sqDDz64Uu3XZ0PdzZkzJ4444oh886tS69at842vHj16lLRtQNOhz4a602dD6ZTVSPRlpc416dSpU95PnTo1j07fbbfdqs5Jo+R69eqVL9qTtO/Tp0/VBXuyxx575A77pZdeqvV9Fi9enOurb8AXl0adn3/++bXWpfLK0elA+Ul/nymwvfHGG+f+M93MHjhwYI2UL/XVH6dzqr9G5TmVrwEUXxpPc8UVVxQsL+PxNgDQrOizobRalvNFfJrW/ZWvfCW23HLLXPbWW2/lkWtrrrlmjXPTBXqqqzyn+gV7ZX1lXaFc7OmOeOXWs2fPIn0qaB6eeeaZgjejUnmqB8rTO++8EwsWLIgLL7ww9txzz/jjH/8Y+++/f07VkmaG1Wd/XOic9P+J//73v7W2z41vqF9p7YLJkyfXGNGWpONUXn0tBACgdPTZUFplG0RPudHT9O5bb7216O81evToPOq9cps9e3bR3xOasjRqtdAUzXSjKtUD5alypsi+++6b855vvfXW8T//8z85NUtKx1JqbnxD/UozSNLCwa1atapRno4HDBiQ6wGA0tNnQ2mVZRD9hBNOiHvvvTcee+yxGjmdunbtmhcoS7lSq0srEqe6ynPS8bL1lXW1adu2bQ74Vd+AL65ly5YFFxE955xzcj1QntZee+2cV3HzzTevUZ7ynVeObqmv/rjQOakfXnXVVWttnxvfUP/rIowYMaJgedoDAKWnz4bSKqtIVsrflALoaYGzRx99NNZff/0a9dtuu21e6OyRRx6pKps+fXq+qB80aFA+TvsXXnghT0evNHHixHxBvmxAACietHhoyodcXd++faNfv34laxPw2VKaljTCJfWv1f3rX/+K3r1712t/nM6p/hqV51S+Rm3c+Ib6lwatHHrooVUX32mfjtdbb71SNw0AqEafDaXTstxSuPz2t7+N8ePHR/v27XOu1LRV5kVN07aPPvroGDVqVB6lnhY2+853vpMvtrfffvt8zu67754vzr/97W/H3/72t3jooYfizDPPzK+dLryBhnPBBRdUjTpP+0KLjQINK+U8nzZtWt6SmTNn5seVI81PO+20uO222+JXv/pVzJgxI37+85/HPffcEz/4wQ/qtT8+7rjj4tVXX43TTz89/vnPf8YvfvGLuP3223MaGaBhDR8+PDp37lw1IyVdkAMA5UefDaXRoqKMlu8tNPXkhhtuiCOPPDI/XrRoUZxyyilxyy235MXF9thjj3zRXT1Vy+uvvx7f//734/HHH4/VV189jjjiiLxAWpqevjLSImUpQJCmiRvhBnVz/fXXx7hx43JHn4JuQOml/nHnnXderjz1lzfeeGN+/Otf/zrnH58zZ05ssskmcd555+U86ZXqqz9OdSlo/ve//z2PrDnrrLOq+vyVoc+G+vPkk0/GFVdckaeE77DDDqVuDtDE6LOh/uizoZkH0cuFzh0AGgd9NgA0DvpsABqzskrnAgAAAAAA5UQQHQAAAAAAChBEBwAAAACAAgTRAQAAAACgAEF0AAAAAAAoQBAdAAAAAAAKEEQHAAAAAIACBNEBAAAAAKAAQXQAAAAAAChAEB0AAAAAAAoQRAcAAAAAgAIE0QEAAAAAoABBdAAAAAAAKEAQHQAAAAAAChBEBwAAAACAAgTRAQAAAACgAEF0AAAAAAAoQBAdAAAAAAAKEEQHAAAAAIACBNEBAAAAAKAAQXQAAAAAAChAEB0AAAAAAAoQRAcAAAAAgAIE0QEAAAAAoABBdAAAAAAAKEAQHQAAAAAAChBEB4rqySefjIMOOijvAQCAlTdp0qQYOnRodO/ePVq0aBETJkyoUV9RURFnn312dOvWLVZdddXYbbfd4uWXX65xznvvvRfDhw+PDh06xJprrhlHH310LFiwoMY5zz//fHz1q1+Ndu3aRc+ePePiiy9eri133HFHbLrppvmcPn36xP3331+kTw18lnPPPTcGDx6c90DDEEQHimbRokUxduzYePvtt/M+HQMAACtn4cKFsdVWW8XVV19da30Kdl955ZVx7bXXxjPPPBOrr7567LHHHjV+d6cA+ksvvRQTJ06Me++9Nwfmjz322Kr6+fPnx+677x69e/eOqVOnxiWXXJIDc9ddd13VOWlAzCGHHJID8M8991zst99+eXvxxReL/A0Ay0rX148//nh+nPbpGCi+FhXp1jU1pB8RHTt2jHnz5uW79cAXc/3118dvf/vbPEImjZz59re/HUcddVSpmwU0IfpsAJqL9Hv6rrvuysHrJP3GTiPUTznllDj11FNzWeoPu3TpEjfeeGMcfPDB8Y9//CM233zzmDx5cmy33Xb5nAcffDD22muvmDNnTn7+NddcEz/60Y/irbfeijZt2uRz/ud//iePev/nP/+Zj9PM0hTQT0H4Sttvv31svfXWOYC/MvTZUD8OPPDA+Pe//111vO6668btt99e0jZBc2AkOlAU6Uf5+PHj84/7JO3TcSoHAADqZubMmTnwnVK4VEpB6oEDB8ZTTz2Vj9M+pXCpDKAn6fyWLVvmkeuV5+y0005VAfQkjWafPn16vP/++1XnVH+fynMq3wdoGOkmWPUAevLOO+/kcqC4BNGBepcC5ldccUXBchNgAACgblIAPUkjz6tLx5V1aZ9GqVbXunXr6NSpU41zanuN6u9R6JzK+tosXrw4jz6vvgFf3JIlS3K6pdqk8lQPFI8gOlDvZs2alaeMLtuJp+NUnuoBAICma8yYMXlkfOWWFiwFvriUTqlQoDyVV0+3BNQ/QXSg3vXq1Sv69++f8zZWl44HDBiQ6wEAgC+ua9eueb/sooLpuLIu7VOqh+o+/fTTeO+992qcU9trVH+PQudU1tdm9OjROf955TZ79uw6fFpgn332iVatWtVal2aYpHqgeATRgXqXguVp8aFl07ak41S+bHAdAAD4fNZff/0cxH7kkUeqylLKlJTrfNCgQfk47T/44IOYOnVq1TmPPvpoLF26NOdOrzxn0qRJ8cknn1SdM3HixNhkk01irbXWqjqn+vtUnlP5PrVp27ZtXkC0+gZ8cSmAftppp9Vad/rppxcMsAP1QxAdqHcpWH7bbbfVWnfrrbfKiQ4AACthwYIFMW3atLxVLiaaHqf0iGlgysknnxw//vGP4+67744XXnghDj/88OjevXvst99++fzNNtss9txzzzjmmGPi2Wefjb/85S9xwgknxMEHH5zPSw499NC8qOjRRx8dL730Uv4dn9YxGjVqVFU7RowYkRcuvPTSS+Of//xnnHvuuTFlypT8WkDDSX/Pa6+9do2yddZZJ3bfffeStQmaC0F0oGg50WsjJzoAAKycFKjeZptt8pakwHZ6fPbZZ1eNPj3xxBPj2GOPzekUU9A9BbvbtWtX9Rrjxo2LTTfdNHbdddfYa6+9Yscdd4zrrruuqj7lK//jH/+YA/TbbrttnHLKKfn102tW2mGHHWL8+PH5eVtttVX87ne/iwkTJsSWW27ZoN8HEPHVr351hcdAcbSoMCR0OWkKXPohkfK2mXIGn1+aCvr1r3+9YH2a+rnKKqs0aJuApkmfDQCNgz4b6m7OnDlxxBFH1FhgNOVDv/HGG6NHjx4lbRs0dUaiA/XuN7/5TZ3qAQAAgP+TxsCmVEuFyo2RheISRAfqXcrFWJd6AAAAYPm0qdVHoSfpWNpUKD5BdKDepelkgwcPrrVu5513zvUAAADAyunVq1de+6BVq1Y1ytPxgAEDcj1QPILoQL1Ld8L/9Kc/1Vo3adKk5e6cAwCld8IJJ+Sb4GkPAJSXFi1axIgRIwqWpz1QPILoQL279957CwbKU3mqB0on3cwaOnRodO/ePf/YnjBhQsFzjzvuuHzO5ZdfXqP8vffei+HDh+eFwdZcc804+uijY8GCBTXOef755+OrX/1qtGvXLnr27BkXX3zxcq9/xx13xKabbprP6dOnT9x///31+EmBlZWmgL/44ov5cdqbEg4A5SctHnrooYdWBczTPh2vt956pW4aNHmC6EC922effZabYlYplad6oHQWLlwYW221VVx99dUrPO+uu+6Kp59+Ogfbl5UC6C+99FJMnDgx3xhLgfljjz22qn7+/Pmx++67R+/evWPq1KlxySWXxLnnnhvXXXdd1TlPPvlkHHLIITkA/9xzz8V+++2Xt8pAHtBw0g2zFR0DAOUh/Q7v3Llzfrz22mvnIDpQfILoQL1r2bJlHnVam1Se6oHSGTJkSPz4xz+O/fffv+A5b7zxRpx44okxbty4WGWVVWrU/eMf/4gHH3ww/vd//zcGDhwYO+64Y1x11VVx6623xptvvpnPSc/7+OOP49e//nVsscUWcfDBB8dJJ50UY8eOrXqdK664Ivbcc8847bTTYrPNNosLLrgg+vXrFz//+c+L+OmBZd1yyy3x0Ucf1ShLx6kcACgvaQbnqFGjokuXLjFy5Mh8DBRfy8Y0vTyV1bal0W2VvvSlLy1Xf+GFF5bg00DzlaaAv/baa7XWpXJTxKG8LV26NL797W/n4HYKgC/rqaeeyilctttuu6qy3XbbLd8ge+aZZ6rO2WmnnaJNmzZV5+yxxx4xffr0eP/996vOSc+rLp2TygtZvHhxHuVefQO+uE8//TR++ctf1lqXylM9AFBedthhh7jtttvyHmiGQfTPml4+d+7cGlsa3ZaC5MOGDatx3vnnn1/jvDSSDmj4VcNrY9VwKH8XXXRRtG7dOo8cr81bb70V6667bo2ydH6nTp1yXeU5aXRMdZXHn3VOZX1txowZEx07dqzaCs16AVbOzTffXKd6AABoDlpHmU0vT1shXbt2rXH8hz/8IXbeeefYYIMNapS3b99+uXOBhpNubh100EExefLk5epSuVXDoXyl/OUpzcpf//rXsvxbHT16dJ6+WimNRBdIhy/u8MMPX2GgPNUDAEBzV1Yj0T+Pt99+O+677768GNmyUvqWtMjCNttsk1O9fNY0VFPDoX5VVFTkqWXLBuDSccqZnOqB8vSnP/0p3nnnnTxjJI0uT9vrr78ep5xySk6ZlqQb1emc6lJf+95771XdxE771FdXV3n8Wees6EZ427Zto0OHDjU24ItLf+Pf+973aq37/ve/n+sBAKC5a7RB9JtuuimPOD/ggANqlKep5ylI99hjj+ULgp/+9Kdx+umnr/C1TA2H+pVynqdR6MsGy9NxKpcTHcpXyoX+/PPPx7Rp06q2tFZJyo/+0EMP5XMGDRoUH3zwQR61XunRRx/NudTTQqOV56S1Tj755JOqcyZOnBibbLJJrLXWWlXnPPLIIzXeP52TyoGGc8ghh8Rqq61Woywdp9ljAABAmaVz+TxSPvThw4cvtwpx9Sneffv2zQuapWB6CpSn0Wu1MTUcipMTPaWDWLJkSVV5q1atYtttt5UTHUpswYIFMWPGjKrjmTNn5mB5ymme/j7TbK7qVllllTw6PAXAk8022yz23HPPOOaYY+Laa6/NgfITTjghDj744BxwTw499NA477zz8oyxM844I1588cWcJuayyy6ret0RI0bE1772tbj00ktj7733zjfBp0yZEtddd12DfRfA/5P+lqunbknHAABAIx6JnqaaT58+Pb773e9+5rlpRFyaYv7aa68VPMfUcKhfKW1LCo4VKi/HPMvQnKRAdUp5lrYk3UhOj88+++yVfo1x48bFpptuGrvuumvstddeseOOO9YIfqeZXX/84x9zgD7dPEvpYNLrH3vssVXn7LDDDjF+/Pj8vLSw+O9+97uYMGFCbLnllvX8iYHPkm6gVf7tpb0b3gAA8H9aVJRpcuIUZLvrrrtiv/32W67uyCOPzCPaUhBgZS7y06ia//znP1XTxz9LGomeLv7nzZsnoA518Mtf/jJuueWWquM0MrV6AA2grvTZANA46LMBaMxaN6bp5ZUd7x133JGnfi/rqaeeimeeeSZ23nnnnC89HY8cOTIOO+ywlQ6gAwAAAABAWaZzWZnp5Slfaho8nxZAqi0tS6pP+VW32GKL+MlPfpKD6HKrQsObM2dO3H777TXK0nEqBwAAAIDGomzTuZSSaWZQN+l/K6effnq+MVb9fzEpTdN2220XF198sbzoQL3QZwNA46DPBqAxK6uR6EDTMGvWrJg8eXKNAHqSjlN5qgcAAACAxkAQHah3PXv2LDi6JJWnegAAAABoDATRgXo3e/bsPF2zNqk81QMAAABAYyCIDtS79dZbr071AAAAAFAuBNGBenfffffVqR4AAAAAyoUgOlDv9t577zrVAwAAALV78skn46CDDsp7oGEIogP17o033qhTPQAAALC8RYsWxdixY+Ptt9/O+3QMFJ8gOlDv5EQHAACA+jdu3Lh499138+O0Hz9+fKmbBM2CIDpQ7+REBwAAgPo1Z86cHDSvqKjIx2mfjlM5UFyC6EC922effaJly9r/95LKUz0AAACwclLA/IorroilS5fWKF+yZEkurwysA8UhiA7UuxYtWkSbNm1qrUvlqR4AAABYObNmzYrJkycvFyxPx6k81QPFI4gO1Ltnnnmm4OImqTzVAwDl5frrr49ddtkl7wGA8tKrV6/YeOONa63bZJNNcj1QPILoQL3r379/neoBgIb1wQcf5IXK0hTxtE/HAED5SCPO33zzzVrr3njjDelcoMgE0YF6l6aS1aUeAGhYZ511VlWO1bQ/++yzS90kAKCaNKN7wYIFtdalcjO+obgE0YF6t80229SpHgBoOFOmTIkXXnihRtnzzz+fywGA8jBw4MDo0KFDrXUdO3bM9UDxCKID9e6iiy6qUz0A0DDSqPPzzz+/1rpUXjk6HQAorZYtWxacKXbOOefkeqB4/IUB9e7000+vUz0A0DDS1O/58+fXWpfKTQ0HgPKx3XbbRZ8+fWqU9e3bN/r161eyNkFzIYgO1Ls//vGPdaoHABqGqeEA0Lhc8P+xdyfgVlVl48BfBgVUBsFAEDTKOUFTEXEgSgLRTBz6UFEcSNPQFJwiFecozAHNJMsxJc1SP1NBCadKRETNmbRUIAVzAAKZhPt/1vr+53Yv3IPonbm/3/Ps55y91zr7rHMY1tnvXutdF19cOuo8PRabUQZULUF0oMrtv//+lSoHAGqGqeEAUL+0adMmBg8enPvo9Jj2gernVzFQ5f71r39VqhwAqDmmhgNA/TJ06NB45JFH8iNQMwTRgSrXuXPnaNKkSYVl6XgqBwDqDlPDAQCgOEF0oMo9/fTTsWLFigrL0vFUDgDUHaaGAwBAcU3XUAbwuaRFyDbYYIP4+OOPVytLxy1SBgB1T5oSblo4AACszkh0AAAAAAAoQhAdqHJTp06tcBR6ko6ncgAAAACoDwTRgSrXo0ePSpUDAAAAQF0hiA5UuWnTplWqHAAAAADqCkF0oMoZiQ4AAADV48knn4xBgwblR6BmCKIDVc5IdAAAAKh6S5YsiSuuuCLmzp2bH9M+UP0E0YEqZyQ6AAAAVL3bb789Pvjgg/w8PY4fP762mwQNgiA6UOWMRAcAAICqNXv27Bw0LykpyfvpMe2n40D1EkQHqlzPnj2jVatWFZa1bt06lwMAAABrJwXMx44dW/R4IbAOVA9BdKDKNW7cOEaNGlVh2fnnn5/LAQAAgLUzc+bMPKt7xYoV5Y6n/XQ8lQPVRyQLqBbvv/9+hcffe++9Gm8LAAAA1Gebb755Xl+sSZMm5Y6n/d122y2XA9VHEB2oculO+GWXXVZhWTq+6p1zAAAAoLhGjRrFqaeeWvR4egSqjyA6UOXuv//+ooHydDyVAwAAAGuvc+fOccQRR5QGzNNj2t9ss81qu2mwzhNEB6rcvvvuW6lyAAAAYHWDBw+Odu3a5eebbLJJDqID1U8QHahyt99+e6XKger1xBNPxAEHHBCdOnXKo1fuvffe0rLly5fH2WefHd26dYsNN9ww1xkyZEi888475c7x4Ycf5h/wrVq1ijZt2sTQoUNj4cKF5eq88MILsffee0fz5s2jS5cuMWbMmNXactddd8W2226b66T3fPDBB6vxkwMAQP2WfjePGDEiOnToEMOHD8/7QPUTRAeq3JFHHlmpcqB6LVq0KHbccce49tprVyv7+OOP49lnn43zzjsvP959990xY8aM+Pa3v12uXgqgv/zyyzFp0qScoikF5k844YTS8gULFkS/fv1iiy22iOnTp+f1EC644IK4/vrrS+s8+eSTcfjhh+cA/HPPPRcDBw7M20svvVTN3wAAAACsvUYlJSUln6F+g5Au/Fu3bh3z58/PI+yAz2bKlCkxcuTIouWjR4+OXr161WibgIqlkej33HNPDl4XM23atNhtt93i7bffjs033zxeffXV2H777fPxXXfdNdeZOHFi7LfffjF79uw8ev26666Lc845J+bMmRPrr79+rvPDH/4wj3p/7bXX8v6gQYNyQL/sOgm777577LTTTjFu3Li1ar8+GwDqB302VI0lS5bkgWnvv/9+Tudy2223GY0ONcBIdKDKpWBbkyZNKixLx1M5UH+ki90UbE9pWwo3ytLzQgA96du3bzRu3DimTp1aWqd3796lAfSkf//+eVT7Rx99VFonva6sVCcdBwAAKk6P+sEHH+Tn6XH8+PG13SRoEATRgSqXRqKuWLGiwrJ0PJUD9WekS8qRntKuFEaNpdHl7du3L1evadOm0bZt21xWqJPyNJZV2P+0OoXyiixdujSPZCu7AQBAQ5CupVPQvJBUIj2mfdfYUP0E0YEqt9lmm1WqHKgb0iKj//M//5N/nKf0LHVBSgeVpoIXtrRgKQAArOvSb/KxY8cWPS5bMzSgIHpalOyAAw7IuVTTtPGUN7WsY445Jh8vu+27777l6nz44Yd5sbM0Wi5NNU+LlS1cuLCGPwk0bA888EClyoG6E0BPedDT4qFlc5duuumm8d5775Wr/8knn+Q+OJUV6sydO7dcncL+p9UplFckrbeQ0ssUtlmzZlXBpwUAgLpt5syZeU2iVWd9p/10PJUDDSSInhYX23HHHePaa68tWicFzd99993S7be//W258hRAf/nll/MFf1qoLAXmTzjhhBpoPVDwrW99q2hO9JTyIZUDdT+A/vrrr8ef/vSnaNeuXbnytDDwvHnzYvr06aXHHnnkkVi5cmX07NmztE7qg9O5ClLfvM0228TGG29cWmfy5Mnlzp3qrGnh4WbNmuWAftkNAADWdZtvvnn06NGjwrK07lgqBxpIEH3AgAFxySWXxEEHHbTGi+c0Qq2wFS7Ek1dffTUmTpwYv/71r/NF/F577RXXXHNN3HHHHfHOO+/U0KcAUgD9zDPPrLDsrLPOKhpgB2pGmqH1/PPP5y1588038/M0eiUFvQ899NB45pln8qJFaWRLylGetmXLluX62223Xb6pffzxx8fTTz8df/3rX+Pkk0+Oww47LM8mS4444oi8qGiaEZZubt955515mumIESNK23Hqqafmfvvyyy+P1157LS644IL8vulcAADAf6VsDF/+8pcrLPvSl76Uy4EGEkRfG4899lhezCyNZDvppJNKVyROpkyZklO47LrrrqXH+vbtG40bN46pU6fWUouhYUo3sypy/fXX13hbgPJSoPqrX/1q3pIU2E7PR40aFf/617/ivvvuy4sT7bTTTtGxY8fS7cknnyw9Rwqwb7vttrHPPvvEfvvtl29cl/33nfKVP/zwwzlAv8suu8Tpp5+ez192dtgee+yRF0JKr0sz0X7/+9/nVG477LBDDX8jAFA/pZvd5513XnTt2jVatGiRA2wXX3xxudzI6Xnqg1Nfnuqka+Q02+yzpkV94YUXYu+9947mzZvnNUnGjBlTY58T+L/0iWmQaEXS8VQOVJ+mUY+kUW8HH3xw/oHwj3/8I370ox/l0espeJ5GtqZRcinAvmrqiLZt2+ayYpYuXZq3ggULFlTr54B1Xfo39P7771dYlo6ncikYoPb06dNnjQsPrc2iRKlvTQHwNenevXv8+c9/XmOd73znO3kDAD67n/70p3nx71tuuSW+8pWv5Bvlxx57bL6Z/YMf/CDXScHuq6++OtdJ19Ip6N6/f/945ZVXckA8SQH0lC41pVVLs9LSOdKN70Jfn36/9+vXLwfgx40bFy+++GIcd9xxOeAufSrUjPRv+NPK0w0woHrUqyB6miZe0K1bt3xxnu60p9HpaSTc5zV69Oi48MILq6iVwJFHHvmp5WmkKwAA8PmlWWIHHnhg7L///nn/i1/8Yl43LKVbK9wYv+qqq+Lcc8/N9ZJbb701OnTokGd/pWvsQlrUtDBhYVZ3SouaZpr97Gc/y6na0gy0lNbtxhtvzOnaUsA+pYK74oorBNGhhmy11VaVKgcaWDqXVXM+bbLJJvHGG2/k/ZQj/b333itXJ01nSVPTUlkxI0eOjPnz55dus2bNqva2w7os/TCvTDkAAPDpUmq0tEj33//+97z/t7/9Lf7yl7/kGdtJSquWZmWnEeQFaZR6WkMszehe27SoqU7v3r1zAL0gjWafMWNGfPTRRzX2eaEhS2mUKlMONOAgesrXmnKip9xuSa9evWLevHkxffr00jqPPPJIrFy5Mv9IWNNipSm1RNkN+PzSaJbKlAMAtTOiddCgQeXWPwDqth/+8Id5NHlap2S99dbLa5ycdtppOT1LUkhrmkael5X2C2VrkxY1PVZ0jrLvsaqUMjWlgSm7AZ/f5ptvnm9uVSQdT+VAAwmip4VL0pSwtBXumqfnM2fOzGVnnnlmPPXUU/HWW2/lu+1pOtqWW26Z74An2223Xc6bfvzxx+fpa3/961/j5JNPzj8q0hQ0oGb06NGjUuUAQM1asmRJTsswd+7c/Jj2gbrvd7/7XU61knKXP/vsszknckrB8mm5k2tCSpuaRr0XNqNkoXJSnCsNEq1IOl5I4wQ0gCB6WgQl3TlPWzJixIj8PK0knhYOTauBf/vb346tt946L5awyy675AXL0kjygvQDIt2FTznSUw63vfbaK66//vpa/FTQ8KR8ipUpBwBqVvoNnWZ4Junx0xYOBuqGNNCsMBo9rRt21FFHxfDhw3MAOymkNU03yMpK+4WytUmLmh4rOkfZ91iVtKlQtVKGhWKZEwppmoAGsrBonz598sInxTz00EOfeo405cyPfqhdu+22W77xtWLFitXK0tTQVA4A1J0Uien3c+F3eHpM+/369YvOnTvXdvOANfj4449XS++QfocXRqt27do1B7nTTO6ddtopH0tpVVKu85NOOmm1tKhpoFpFaVFTnXPOOSeWL1+e08YkkyZNim222SY23njjCtuWBruVHfAGVE76t54GmZ5xxhmrlZ1//vlFU70AVcO/MKBaLsYrCqAXRrWkcgCg9qWA+dixY4seX9MAF6D2HXDAAXHppZfGAw88kNOe3nPPPTkl00EHHZTLGzVqlHOkX3LJJXHffffFiy++GEOGDMnpTgcOHLjWaVGPOOKIvKhomhH+8ssvx5133pn/j0izx4GakxYATrNOyurevXvsvPPOtdYmaCjq1Eh0YN2QRq0VG4mejhvVBgB1Q1p7qKI0a6kPT8dT+RZbbFErbQM+3TXXXBPnnXdefP/7388pWVLQ+3vf+14erVpw1llnxaJFi+KEE07II85TytOJEydG8+bNy6V0SoHzlBY1jWY95JBD4uqrry6XKuLhhx+OYcOG5dHqm2yySX6PdE6gZl188cVx8MEH59ki6d/rRRddVNtNggahUYnhJatJ09vSj4SUt61YvimguClTpuQciMWkHI1pSihAZemzoXLSpUAKsKUFCcve/E43vVOg7Kc//WkeyQpQWfpsqDo33HBDvvk1ePDgPEMEqH6C6BXQuUPlpDviaUrosmXLVitL00DTyBf52oCqoM+Gyktp1o4++uhyQfS0hsktt9wSm222Wa22DVh36LMBqM9EsYAqly7CKwqgJ+l4sXzpAEDNS2nWUr7jwojz9Jj2BdABAOD/CKID1ZKbsTLlAEDNStPB27Vrl5+nXMcpiA4AAPwfQXSgyqWFjSpTDgDUrLTA4IgRI6JDhw4xfPjwcgsOAgBAQ9e0thsArHseeuihTy0/8MADa6w9AMCn22OPPfIGAACUZyQ6UOX222+/SpUDADXvySefjEGDBuVHAADgvwTRgSr3zDPPVKocAKhZS5YsiSuuuCLmzp2bH9M+AADwfwTRgSq3yy67VKocAKhZt99+e3zwwQf5eXocP358bTcJAADqDEF0oMrddtttlSoHAGrO7Nmzc9C8pKQk76fHtJ+OAwAAguhANTjiiCMqVQ4A1IwUMB87dmzR44XAOgAANGSC6ECV+7Qp4KaIA0DdMHPmzJg2bVqsWLGi3PG0n46ncgAAaOgE0YEqN2TIkEqVAwA1Y/PNN48ePXpEkyZNyh1P+7vttlsuBwCAhk4QHahyCxYsqFQ5AFAzGjVqFKeeemrR4+kRAAAaOkF0oMoNGjSoUuUAQM3p3LlzXq+kEDBPj2l/s802q+2mAQBAnSCIDlS52267rVLlAEDNGjx4cLRr1y4/32STTSwCDgAAZQiiA1Xu9ttvr1Q5AFCzmjdvHiNGjIgOHTrE8OHD8z4AAPB/GpWUlJT8/+eUydfcunXrmD9/frRq1aq2mwP1zscffxz77bdf0fIHH3wwNthggxptE7Bu0mcDQP2gzwagPjMSHahy48aNq1Q5AAAAANQVguhAlRs2bFilygEAAACgrhBEB6rcs88+W6lyAAAAAKgrBNGBKte9e/dKlQMAAABAXSGIDlS50047rVLlAAAAAFBXCKIDVe7qq6+uVDkAAAAA1BWC6ECVW7hwYaXKAQAAgIrdcMMN8Y1vfCM/AjVDEB2ocoMGDapUOQAAALC6efPmxe233x4rV67Mj2kfqH6C6ECVu/HGGytVDgAAAKzuvPPOywH0JD2OGjWqtpsEDYIgOlDlfvSjH1WqHAAAACjvmWeeiRdffLHcsRdeeCEfB6qXIDpQ5a666qpKlQMAAAD/lUadX3TRRRWWpeOF0elA9RBEB6rcaaedVqlyAAAA4L+mTp0aCxYsqLAsHU/lQPURRAeq3NVXX12pcgAAAOC/evbsGa1ataqwrHXr1rkcqD6C6ECVGzlyZKXKAQAAgP9q3Lhx0UVEzz///FwOVB//woAqd+mll1aqHAAAAChv1113jW7dupU71r1799h5551rrU3QUAiiA1Xue9/7XqXKger1xBNPxAEHHBCdOnWKRo0axb333luuvKSkJI9y6dixY7Ro0SL69u0br7/+erk6H374YQwePDhPKW3Tpk0MHTo0Fi5cWK7OCy+8EHvvvXc0b948unTpEmPGjFmtLXfddVdsu+22uU66IHjwwQer6VMDAED9d/HFF5eOOk+PxRYbBaqWIDpQ5U4++eRKlQPVa9GiRbHjjjvGtddeW2F5CnantQvGjRuXFyjacMMNo3///rFkyZLSOimA/vLLL8ekSZPi/vvvz4H5E044odziRv369Ystttgipk+fHpdddllccMEFcf3115fWefLJJ+Pwww/PAfjnnnsuBg4cmLeXXnqpmr8BAACon9IAlvRbPAXQ02PaB6pfo5I03Ixy0oV/WpRh/vz5RRdtAIrr06fPp9Z57LHHaqQtwJqlkej33HNPDl4n6WdBGqF++umnxxlnnJGPpf6wQ4cOcfPNN8dhhx0Wr776amy//fYxbdq0PKU0mThxYuy3334xe/bs/PrrrrsuzjnnnJgzZ06sv/76uc4Pf/jDPOr9tddey/uDBg3KAf0UhC/YfffdY6eddsoB/LWhzwaA+kGfDVUnDUYZO3ZsnHrqqbHHHnvUdnOgQTASHahyFaVs+CzlQO158803c+A7pXApSBe8PXv2jClTpuT99JhGvBQC6Emqn0bDpJHrhTq9e/cuDaAnaTT7jBkz4qOPPiqtU/Z9CnUK71ORpUuX5ovwshsAADQUaXboFVdcEXPnzs2PZWeLAtVHEB2ocltvvXWlyoHakwLoSRp5XlbaL5Slx/bt25crb9q0abRt27ZcnYrOUfY9itUplFdk9OjROahf2FKudQAAaChuv/32+OCDD/Lz9Dh+/PjabhI0CILoQJVLOY4rUw5QzMiRI/M08MI2a9as2m4SAADUiJQ6MQXNC5mZ02PaT8eB6iWIDlS5lJutMuVA7dl0003zY5oeWlbaL5Slx/fee69c+SeffBIffvhhuToVnaPsexSrUyivSLNmzXIe1bIbAACs61LAvKJr6cJxSx5C9RJEB6rc9773vUqVA7Wna9euOYg9efLk0mMp73jKdd6rV6+8nx7nzZsX06dPL63zyCOPxMqVK3Pu9EKdJ554IpYvX15aZ9KkSbHNNtvExhtvXFqn7PsU6hTeBwAA+D8zZ86MadOmxYoVK8odT/vpeCoHqo8gOlDlrrrqqkqVA9Vr4cKF8fzzz+etsJhoep5+eDdq1ChOO+20uOSSS+K+++6LF198MYYMGRKdOnWKgQMH5vrbbbdd7LvvvnH88cfH008/HX/961/j5JNPjsMOOyzXS4444oi8qOjQoUPj5ZdfjjvvvDOPkBkxYkRpO0499dSYOHFiXH755fHaa6/FBRdcEM8880w+FwAA8F+bb7559OjRI5o0aVLueNrfbbfdcjnQQILoacTaAQcckC/A00X8vffeW1qWRrKdffbZ0a1bt9hwww1znXRR/84775Q7xxe/+MX82rLbT37yk1r4NNBwpcBYZcqB6pUC1V/96lfzlqTAdno+atSovH/WWWfFKaecEieccEL+oZ6C7inY3bx583ILGm277baxzz77xH777Rd77bVXXH/99aXladHPhx9+OAfod9lllzj99NPz+dM5C/bYY4+cwzG9bscdd4zf//73ue/fYYcdavT7AACAui7Ftyq6li4cT49A9WlUUoeSJk2YMCGPZksX2wcffHDcc889paPe0uJhhx56aB71li60P/roo/yfRJq2koIBZYPoadRbqlfQsmXLHHhfW2naerr4T+8p1yp8ds8991wMHz68aPmVV15ZGrwDqAx9NgDUD/psqBo33HBD3HbbbTkHegqcH3XUUXHcccfVdrNgndc06pABAwbkrSKps015Usv6+c9/nqespOnnZaetpKD5mhYlA6rXmgLohfLHHnusxtoDAAAA64LBgwfnQajvv/9+bLLJJjmNItDA0rl8VukOdrrr1qZNm3LHU/qWdu3a5ZGul112WXzyySdrPM/SpUvzXfGyG/D5nX/++ZUqBwAAAFaXUiymdIwdOnTIA9TKplwEGshI9M9iyZIlOUf64YcfXm4q2A9+8IPYeeedo23btvHkk0/GyJEj4913340rrrii6LlGjx4dF154YQ21HNZ9n/bvKZV//etfr7H2AAAAwLoirS2UNqCB5kQvK40wL5sTvay0yOghhxwSs2fPzikh1pRP7cYbb4zvfe97eVG0Zs2aFR2JnraCNBK9S5cucrXB5/Tqq6/GSSedVLT8uuuui+22265G2wSsm+RXBYD6QZ8NQH1W70aipwD6//zP/8Tbb78djzzyyKd2vj179szpXN56663YZpttKqyTguvFAuzAZ5dmglSmHAAAAADqisb1MYD++uuvx5/+9Kec9/zTPP/889G4ceNo3759jbQRiBg0aFClygEAAACgrqhTI9FTypU33nijdP/NN9/MQfA0arVjx45x6KGHxrPPPhv3339/rFixIubMmZPrpfL1118/pkyZElOnTs25llu2bJn30yILRx55ZGy88ca1+MmgYbn44ovjvPPOW2M5AAAAANQHdSonespvXtFig0cffXRccMEF0bVr1wpf9+ijj0afPn1ygP373/9+vPbaaznHeap/1FFH5VWLP0u6FrnaoHLSv8e1+fcOUFn6bACoH/TZANRndSqIXlfo3KFy/vKXv8S5555btPySSy6Jvfbaq0bbBKyb9NkAUD/oswGoz+pVTnSgflhTKpe1KQcAAACAukIQHahyZ555ZqXKAQAAAKCuEEQHqtyYMWMqVQ4AAAAAdYUgOlDlevToUalyAAAAAKgrBNGBKjdt2rRKlQMAAABAXSGIDlS5HXbYoVLlAAAAAFBXCKIDVe6ll16qVDkAAAAA1BWC6ECVu/nmmytVDgAAAAB1hSA6UOXef//9SpUDAAAAQF0hiA5UuTPOOKNS5QAAAABQVwiiA1Xu4IMPrlQ5AAAAANQVguhAlbv77rsrVQ4AAAAAdYUgOlDlDj300EqVAwAAAEBdIYgOVLnf//73lSoHAADWzr/+9a848sgjo127dtGiRYvo1q1bPPPMM6XlJSUlMWrUqOjYsWMu79u3b7z++uvlzvHhhx/G4MGDo1WrVtGmTZsYOnRoLFy4sFydF154Ifbee+9o3rx5dOnSJcaMGVNjnxEAapsgOlDl0g/4ypQDAACf7qOPPoo999wz1ltvvZgwYUK88sorcfnll8fGG29cWicFu6+++uoYN25cTJ06NTbccMPo379/LFmypLROCqC//PLLMWnSpLj//vvjiSeeiBNOOKG0fMGCBdGvX7/YYostYvr06XHZZZfFBRdcENdff32Nf2YAqA2NStJtacpJPxBat24d8+fPz3figc+mT58+n1rnscceq5G2AOs2fTYADdkPf/jD+Otf/xp//vOfKyxPl/udOnWK008/Pc4444x8LPWZHTp0iJtvvjkOO+ywePXVV2P77bePadOmxa677prrTJw4Mfbbb7+YPXt2fv11110X55xzTsyZMyfWX3/90ve+995747XXXlurtuqzAajPjEQHAACAeui+++7Lge/vfOc70b59+/jqV78av/rVr0rL33zzzRz4TilcClIgu2fPnjFlypS8nx5TCpdCAD1J9Rs3bpxHrhfq9O7duzSAnqTR7DNmzMij4SuydOnSHDgvuwFAfSWIDgAAAPXQP//5zzxKfKuttoqHHnooTjrppPjBD34Qt9xySy5PAfQkjTwvK+0XytJjCsCX1bRp02jbtm25OhWdo+x7rGr06NE5YF/YUh51AKivBNGBKnf++edXqhwAAPh0K1eujJ133jl+/OMf51HoKY/58ccfn/Of17aRI0fm1C2FbdasWbXdJAD43ATRgSq3cOHCSpUDAACfrmPHjjmfeVnbbbddzJw5Mz/fdNNN8+PcuXPL1Un7hbL0+N5775Ur/+STT+LDDz8sV6eic5R9j1U1a9Ys5z4vuwFAfVWlQfQ33ngjTyFbvHhx3rdmKTRMl19+eaXKAQCAT7fnnnvmvORl/f3vf48tttgiP+/atWsOck+ePLm0POUmT7nOe/XqlffT47x582L69OmldR555JE8yj3lTi/UeeKJJ2L58uWldSZNmhTbbLNNbLzxxtX+OQFgnQiif/DBB3nhka233jqv4P3uu+/m40OHDs2rgAMAAABVa/jw4fHUU0/ldC5pUNv48ePj+uuvj2HDhuXyRo0axWmnnRaXXHJJXoT0xRdfjCFDhkSnTp1i4MCBpSPX991335wG5umnn46//vWvcfLJJ8dhhx2W6yVHHHFEXlQ0XeO//PLLceedd8bYsWNjxIgRtfr5AaBeBdFTx50WHklTxjbYYIPS44MGDYqJEydWxVsAAAAAZfTo0SPuueee+O1vfxs77LBDXHzxxXHVVVfF4MGDS+ucddZZccopp+R86al+Sq2YrtObN29eWuf222+PbbfdNvbZZ588MG6vvfbKwfiCtDDoww8/HG+++WbssssuebDcqFGj8jkBoCFoVFIFOVfS9LCUxmXHHXeMli1bxt/+9rf40pe+lFcK7969e73Lf5ymt6UfCWnxE3nb4LNLP7w//vjjouXpZtuDDz5Yo20C1k36bACoH/TZUHVuuOGGfPMr3TBLM0SAejISfdGiReVGoBekhUjSYiJAw7KmAPralAMAAACrS2sYpAB6WrcgPaZ9oJ4E0ffee++49dZbS/dT3rX0j3nMmDHx9a9/vSreAgAAAAAatPPOOy/H3JL0mFIrAdWvaVWcJAXLU+60Z555JpYtW5ZzrqXFRtJI9LQoCQAAAADw+aW4W1oguKwXXnghH991111rrV3QEFTJSPS0gMnf//73vPjIgQcemNO7HHzwwfHcc8/Fl7/85ap4CwAAAABokNKo84suuqjCsnS8MDodqMMj0ZO0QMg555xTVacDAAAAACJi6tSpeYHeiqTjqbxXr1413i5oKKokiP7EE0+ssbx3795V8TZAPTFw4MC4995711gOAAAArJ2ePXtGq1atKgykp4GtqRyo40H0Pn36rHYsLS5asGLFiqp4G6CeeOWVVypVDgAAAPxX48aN8yKiZ5xxxmpl559/fi4H6ngQ/aOPPiq3v3z58pwPPa0YfOmll1bFW0C1KykpiSVLltR2M9YJaY2ETytfvHhxjbVnXdW8efNyNyyhqqSb3xdccEHcdtttMWfOnOjUqVMcc8wxce6555b+nUv/Z6Yf67/61a9i3rx5seeee8Z1110XW221Vel50gLjp5xySvzxj3/MP+oPOeSQGDt2bGy00UblFkIaNmxYTJs2Lb7whS/k+mmBcgAAoLy0eGi3bt3KLS7avXv32HnnnWu1XdAQVEkQPU0bWdU3v/nNWH/99WPEiBExffr0qngbqFYpgD5gwIDabkaD4buuvAkTJkSLFi1quxmsg37605/mgPgtt9wSX/nKV+KZZ56JY489Nvf3P/jBD3KdMWPGxNVXX53rdO3aNd8479+/f55pkm7wJIMHD4533303Jk2alG+wp3OccMIJMX78+FyepqL269cv+vbtG+PGjcsXA8cdd1y0adMm1wMAAMq7+OKL4+CDD84LiaaBKsUWGwWqVrXO9ejQoUPMmDGjOt8CAKhiTz75ZBx44IGx//77xxe/+MU49NBDc7D76aefLh2FftVVV+WR6aleGv1y6623xjvvvFO6HsKrr74aEydOjF//+tc5P+Nee+0V11xzTdxxxx25XnL77bfHsmXL4sYbb8zB+sMOOywH6a+44opa/fwAAFBXpQEnabBKCqCnx7QP1JOR6Gkqdlnp4jqNPPvJT34SO+20U1W8BVS7NHIyjeylekeb+46rTmG0L1S1PfbYI66//vqcemnrrbeOv/3tb/GXv/ylNLj95ptv5jQvaQT5qosZTZkyJQfD02P6QZ+mnBak+unH/tSpU+Oggw7KddLi42nmWkEazZ5GwqdUcRtvvPFqbVu6dGneCipaWAkAANZlQ4cOzRtQz4LoKVCecqSm4HlZu+++ex5dBvVB+jssNUb18x1D3ffDH/4wB6e33XbbaNKkSc6RntY4SSNdkhRAL8w4KyvtF8rSY/v27cuVN23aNNq2bVuuTkoFs+o5CmUVBdFHjx4dF154YZV+XgAAAKj2IHoakVZWGmWWFgczShIatjTqvOxo9Mcee6xW2wOsnd/97nc51UrKXZ7SrDz//PNx2mmn5QVGjz766Fpt28iRI/N6KwUp2N+lS5dabRMAAADrtioJom+xxRZVcRpgHSaNC9QfZ555Zh6NntKyJN26dYu33347jwJPQfRNN900H587d2507Nix9HVpv5DGLdV57733yp33k08+iQ8//LD09ekxvaaswn6hzqqaNWuWNwAAAKjzQfSrr756reumRcIAgPrh448/zrPKykppXVauXJmfpxQsKcg9efLk0qB5GhGecp2fdNJJeb9Xr14xb968mD59euyyyy752COPPJLPkXKnF+qcc845sXz58lhvvfXysUmTJsU222xTYSoXAAAAqFdB9CuvvHKt80wLogNA/XHAAQfkHOibb755Tufy3HPP5UVFjzvuuNK+PaV3ueSSS2KrrbbKQfXzzjsvp3sZOHBgrrPddtvFvvvuG8cff3yMGzcuB8pPPvnkPLo91UuOOOKInN88LYp09tlnx0svvRRjx45d698YAAAAUKeD6KvmQQcA1g3XXHNNDop///vfzylZUtD7e9/7XowaNaq0zllnnRWLFi2KE044IY8432uvvWLixInl1kNJedVT4HyfffbJI9sPOeSQcjPZWrduHQ8//HAMGzYsj1bfZJNN8nukcwIAAEBd0aikpKSkthtR16Qp6enCfv78+dGqVavabg7UW4sXLy5dWDTlRG/RokVtNwlYx+izAaB+0GcDEA19YdFk9uzZcd9998XMmTNj2bJl5crSFHAAAAAAAGiQQfS0sNi3v/3t+NKXvhSvvfZa7LDDDvHWW29FGuS+8847V8VbAAAAAABAjWtcFScZOXJknHHGGfHiiy/mXKh/+MMfYtasWfG1r30tvvOd76z1eZ544om8mFnKvZoWLbv33nvLlaegfMqV2rFjx5wWom/fvvH666+Xq/Phhx/G4MGD8/SwNm3a5MXKFi5cWBUfEwAAAACABqZKguivvvpqDBkyJD9v2rRpzoO80UYbxUUXXRQ//elP1/o8aYGyHXfcMa699toKy8eMGZMXJBs3blxMnTo1Ntxww+jfv38sWbKktE4KoL/88ssxadKkuP/++3Ng3gJlAAAAAADUWjqXFMwu5EFPo8T/8Y9/xFe+8pW8//7776/1edIChIVFCFeVRqFfddVVce6558aBBx6Yj916663RoUOHPGL9sMMOy8H8iRMnxrRp02LXXXfNda655prYb7/94mc/+1ke4Q4AAAAAADU6En333XePv/zlL/l5Cliffvrpcemll8Zxxx2Xy6rCm2++GXPmzMkpXArSyt49e/aMKVOm5P30mFK4FALoSarfuHHjPHK9mKVLl+aVwstuAAAAAABQJSPRr7jiitK84xdeeGF+fuedd8ZWW22Vy6pCCqAnaeR5WWm/UJYe27dvX648pZdp27ZtaZ2KjB49OrcbAAAAAACqPIj+4x//OI488sjS1C4pZ3l9khZGHTFiROl+GonepUuXWm0TAAAAAADrSDqXf//737HvvvvmwPOZZ54Zf/vb36Kqbbrppvlx7ty55Y6n/UJZenzvvffKlX/yySfx4YcfltapSLNmzaJVq1blNgAAAAAAqJIg+v/+7//Gu+++G+edd15e1HPnnXfOC4umEepvvfVWVbxFdO3aNQfCJ0+eXG7EeMp13qtXr7yfHufNmxfTp08vrfPII4/EypUrc+50AAAAAACo8SB6svHGG8cJJ5wQjz32WLz99ttxzDHHxG9+85vYcsst1/ocKZf6888/n7fCYqLp+cyZM6NRo0Zx2mmnxSWXXBL33XdfvPjiizFkyJDo1KlTDBw4MNffbrvt8oj4448/Pp5++un461//GieffHIcdthhuR4AAAAAANR4TvSyli9fHs8880weIZ5Goa+6EOiapNd9/etfL90v5Ck/+uij4+abb46zzjorFi1alIP1acT5XnvtFRMnTozmzZuXvub222/PgfN99tknGjduHIccckhcffXVVfwpAQAAAABoCBqVlJSUVMWJHn300Rg/fnz84Q9/yOlTDj744Bg8eHB84xvfyKPI65OUJqZ169Yxf/58+dGhEhYvXhwDBgzIzydMmBAtWrSo7SYB6xh9NgDUD/psAKKhj0TfbLPN8uKdKZXK9ddfHwcccEBerBMAAAAAAKKhB9EvuOCC+M53vhNt2rSpitMBAAAAAMC6E0RPC3kCAAAAAMC6pnFtNwAAAAAAAOoqQXQAAAAAAChCEB0AAAAAAIoQRAcAAAAAgCIE0QEAAAAAoAhBdAAAAAAAKEIQHQAAAAAAihBEBwAAAACAIgTRAQAAAACgCEF0AAAAAAAoQhAdAAAAAACKEEQHAAAAAIAiBNEBAAAAAKAIQXQAAAAAAChCEB0AAAAAAIoQRAcAAAAAgCIE0QEAAAAAoAhBdAAAAAAAKEIQHQAAAAAAihBEBwAAAACAIgTRAQAAAACgCEF0AAAAAAAoQhAdAAAAAACKEEQHAAAAAIAiBNEBgNX861//iiOPPDLatWsXLVq0iG7dusUzzzxTWl5SUhKjRo2Kjh075vK+ffvG66+/Xu4cH374YQwePDhatWoVbdq0iaFDh8bChQvL1XnhhRdi7733jubNm0eXLl1izJgxNfYZAQAAYG0IogMA5Xz00Uex5557xnrrrRcTJkyIV155JS6//PLYeOONS+ukYPfVV18d48aNi6lTp8aGG24Y/fv3jyVLlpTWSQH0l19+OSZNmhT3339/PPHEE3HCCSeUli9YsCD69esXW2yxRUyfPj0uu+yyuOCCC+L666+v8c8MAAAAxTQtWgIANEg//elP86jwm266qfRY165dy41Cv+qqq+Lcc8+NAw88MB+79dZbo0OHDnHvvffGYYcdFq+++mpMnDgxpk2bFrvuumuuc80118R+++0XP/vZz6JTp05x++23x7Jly+LGG2+M9ddfP77yla/E888/H1dccUW5YDsAAADUJkH0eioFMMqO9oO6qOzfUX9fqQ9SSpFGjRpFQ3ffffflUeXf+c534vHHH4/NNtssvv/978fxxx+fy998882YM2dOTuFS0Lp16+jZs2dMmTIlB9HTY0rhUgigJ6l+48aN88j1gw46KNfp3bt3DqAXpPdNQfw0Gr7syHcAAACoLYLo9VQKSA4YMKC2mwFrLQXMoK5LqUtSfu+G7p///Gdcd911MWLEiPjRj36UR5P/4Ac/yMHuo48+OgfQkzTyvKy0XyhLj+3bty9X3rRp02jbtm25OmVHuJc9ZyqrKIi+dOnSvJVNCQMAAADVSRAdAChn5cqVeQT5j3/847z/1a9+NV566aWc/zwF0WvT6NGj48ILL6zVNgAAANCwCKKvAxbudHiUNPZHSR1UUhKx8pP/e57+jkqTQR3UaOUnsdHzv63tZtQpHTt2jO23377cse222y7+8Ic/5Oebbrppfpw7d26uW5D2d9ppp9I67733XrlzfPLJJ/Hhhx+Wvj49pteUVdgv1FnVyJEj8wj5siPRU/52ACDiJz/5Se4rTz311Lx+SWEW8+mnnx533HFHns2VUqf94he/KDejbObMmXHSSSfFo48+GhtttFG+aZ5uXKdZZAWPPfZY7oPTouGp701roxxzzDG18jkBoKaJvK4DcgC9yXq13Qwo4r+5jqEuKqntBtRBe+65Z8yYMaPcsb///e+xxRZb5OcpBUsKck+ePLk0aJ6C2SnXeboAT3r16hXz5s2L6dOnxy677JKPPfLII3mUe8qdXqhzzjnnxPLly2O99f6vH5s0aVJss802RfOhN2vWLG8AQHkp/dovf/nL6N69e7njw4cPjwceeCDuuuuuvIbJySefHAcffHD89a9/zeUrVqyI/fffP/ftTz75ZLz77rsxZMiQ3DcXZqWl9VBSnRNPPDEvDJ5+A3z3u9/NN9NTUB4A1nWNa7sBAEDdki62n3rqqXzh/MYbb8T48ePj+uuvj2HDhuXytPjqaaedFpdccklehPTFF1/MF9udOnWKgQMHlo5c33ffffNipE8//XS+UE8X7WnR0VQvOeKII3Ke9aFDh+ZRbXfeeWeMHTu23EhzAODTLVy4MAYPHhy/+tWvyt2Inj9/ftxwww1xxRVXxDe+8Y18Y/umm27KwfLU1ycPP/xwvPLKK3Hbbbflm+Np7a2LL744rr322li2bFmuk1K6pZvol19+ee7jU59+6KGHxpVXXllrnxkAapIgOgBQTo8ePeKee+6J3/72t7HDDjvkC+k0JTxdnBecddZZccopp8QJJ5yQ66eL94kTJ0bz5s1L66SRattuu23ss88+sd9++8Vee+2Vg/EFaTRcunBPo9vSRX2aaj5q1Kh8TgBg7aUb3WmkeN++fcsdTzPC0oyvssdT37z55pvHlClT8n567NatW7n0Lml0eZpllm5yF+qseu5Up3COiqTUMekcZTcAqK+kcwEAVvOtb30rb8Wk0egXXXRR3opp27ZtHsW+JmnK+Z///OdKtRUAGrKU6/zZZ5/N6VxWNWfOnDzrq02bNuWOp4B5KivUKRtAL5QXytZUJwXGFy9eHC1atFjtvS0GDsC6xEh0AAAAqIdmzZqVFxFNs7/KzgarC9ICpymdTGFLbQWA+koQHQAAAOqhlK7lvffei5133jmaNm2at8cffzyuvvrq/DyNFk95zdNi32XNnTs3LySapMe0v2p5oWxNdVq1alXhKPQkLQSeystuAFBfCaIDAABAPZTWHUkLfD///POl26677prXMSk8X2+99WLy5Mmlr5kxY0bMnDkzevXqlffTYzpHCsYXTJo0KQe9t99++9I6Zc9RqFM4BwCs6+REBwAAgHqoZcuWeRHwsjbccMNo165d6fGhQ4fGiBEj8lolKTCeFgZPwe/dd989l/fr1y8Hy4866qgYM2ZMzn9+7rnn5sVK02jy5MQTT4yf//zneWHx4447Lh555JH43e9+Fw888EAtfGoAqHmC6AAAALCOuvLKK6Nx48ZxyCGHxNKlS6N///7xi1/8orS8SZMmcf/998dJJ52Ug+spCH/00UeXWzy8a9euOWA+fPjwGDt2bHTu3Dl+/etf53MBQEPQqKSkpCTqkS9+8Yvx9ttvr3b8+9//flx77bXRp0+fnAOurO9973sxbty4tX6PtMJ469at8+IndTVvW1oBfcCAAfn5f3Y+KqLJerXdJID6acXyaPnsb/LTCRMmFM3rSd1UH/psAECfDUD9Vu9Gok+bNi1WrFhRuv/SSy/FN7/5zfjOd75Teuz4448vd9d8gw02qPF2AgAAAABQ/9W7IPoXvvCFcvs/+clP4stf/nJ87WtfKxc0L6wiDgAAAAAAn1fjqMeWLVsWt912W17YpFGjRqXHb7/99thkk03yQiojR46Mjz/+uFbbCQAAAABA/VTvRqKXde+998a8efPimGOOKT12xBFHxBZbbBGdOnWKF154Ic4+++yYMWNG3H333UXPkxZXSVvZXG0AAAAAAFCvg+g33HBDXlwzBcwLTjjhhNLn3bp1i44dO8Y+++wT//jHP3Lal4qMHj06LrzwwhppMwAAAAAA9Ue9Tefy9ttvx5/+9Kf47ne/u8Z6PXv2zI9vvPFG0Top5UtaIbywzZo1q8rbCwAAAABA/VNvR6LfdNNN0b59+9h///3XWO/555/Pj2lEejHNmjXLGwAAAAAA1Psg+sqVK3MQ/eijj46mTf/7EVLKlvHjx8d+++0X7dq1yznRhw8fHr17947u3bvXapsBAAAAAKh/6mUQPaVxmTlzZhx33HHljq+//vq57KqrropFixZFly5d4pBDDolzzz031mkrltd2CwDqL/+HAgAAAOtaEL1fv35RUlKy2vEUNH/88cejoWn5tztquwkAAAAAAOukeruwKAAAAAAAVLd6ORKd8v6z42ERTdar7WYA1E8rlpvRAwAAABQliL4uSAF0QXQAAAAAgConnQsAAAAAABQhiA4AAAAAAEUIogMAAAAAQBGC6AAAAAAAUIQgOgAAAAAAFCGIDgAAAAAARQiiAwAAAABAEYLoAAAAAABQhCA6AAAAAAAUIYgOAAAAAABFCKIDAAAAAEARTYsVUH80WvlJlNR2I6AiJSURKz/5v+eNm0Y0alTbLYIK/w8FAAAAKEYQfR2w0fO/re0mAAAAAACsk6RzAQAAAACAIoxEr6eaN28eEyZMqO1mwBotWbIkDjrooPz8nnvuyX9voS7zdxQAAABYlSB6PdWoUaNo0aJFbTcDPlNw0t9ZAAAAAOob6VwAAAAAAKAIQXQAAAAAAChCEB0AAAAAAIoQRAcAAAAAgCIE0QEAAAAAoAhBdAAAAAAAKEIQHQBYo5/85CfRqFGjOO2000qPLVmyJIYNGxbt2rWLjTbaKA455JCYO3duudfNnDkz9t9//9hggw2iffv2ceaZZ8Ynn3xSrs5jjz0WO++8czRr1iy23HLLuPnmm2vscwEAAMDaEEQHAIqaNm1a/PKXv4zu3buXOz58+PD44x//GHfddVc8/vjj8c4778TBBx9cWr5ixYocQF+2bFk8+eSTccstt+QA+ahRo0rrvPnmm7nO17/+9Xj++edzkP673/1uPPTQQzX6GQEAAGBNBNEBgAotXLgwBg8eHL/61a9i4403Lj0+f/78uOGGG+KKK66Ib3zjG7HLLrvETTfdlIPlTz31VK7z8MMPxyuvvBK33XZb7LTTTjFgwIC4+OKL49prr82B9WTcuHHRtWvXuPzyy2O77baLk08+OQ499NC48sora+0zAwAAwKoE0QGACqV0LWmkeN++fcsdnz59eixfvrzc8W233TY233zzmDJlSt5Pj926dYsOHTqU1unfv38sWLAgXn755dI6q5471SmcoyJLly7N5yi7AQAAQHVqWq1nBwDqpTvuuCOeffbZnM5lVXPmzIn1118/2rRpU+54CpinskKdsgH0QnmhbE11UmB88eLF0aJFi9Xee/To0XHhhRdWwScEAACAtWMkOgBQzqxZs+LUU0+N22+/PZo3bx51yciRI3M6mcKW2goAAADVSRAdAFgtXct7770XO++8czRt2jRvafHQq6++Oj9Po8VTXvN58+aVe93cuXNj0003zc/TY9pftbxQtqY6rVq1qnAUetKsWbNcXnYDAACA6iSIDgCUs88++8SLL74Yzz//fOm266675kVGC8/XW2+9mDx5culrZsyYETNnzoxevXrl/fSYzpGC8QWTJk3KQe/tt9++tE7ZcxTqFM4BAAAAdYGc6ABAOS1btowddtih3LENN9ww2rVrV3p86NChMWLEiGjbtm0OjJ9yyik5+L377rvn8n79+uVg+VFHHRVjxozJ+c/PPffcvFhpGk2enHjiifHzn/88zjrrrDjuuOPikUceid/97nfxwAMP1MKnBgAAgIoJogMAn9mVV14ZjRs3jkMOOSSWLl0a/fv3j1/84hel5U2aNIn7778/TjrppBxcT0H4o48+Oi666KLSOl27ds0B8+HDh8fYsWOjc+fO8etf/zqfCwAAAOqKRiUlJSW13Yi6ZsGCBdG6deu8YJlcq/D5LV68OAYMGJCfT5gwoWiOY4DPS58NAPWDPhuA+kxOdAAAAAAAKEIQHQAAAAAAihBEBwAAAACAIgTRAQAAAACgCEF0AAAAAAAoQhAdAAAAAACKEEQHAAAAAIAiBNEBAAAAAGBdCaJfcMEF0ahRo3LbtttuW1q+ZMmSGDZsWLRr1y422mijOOSQQ2Lu3Lm12mYAAAAAAOqnehdET77yla/Eu+++W7r95S9/KS0bPnx4/PGPf4y77rorHn/88XjnnXfi4IMPrtX2AgAAAABQPzWNeqhp06ax6aabrnZ8/vz5ccMNN8T48ePjG9/4Rj520003xXbbbRdPPfVU7L777rXQWgAAAAAA6qt6ORL99ddfj06dOsWXvvSlGDx4cMycOTMfnz59eixfvjz69u1bWjeletl8881jypQpRc+3dOnSWLBgQbkNAAAAAADqXRC9Z8+ecfPNN8fEiRPjuuuuizfffDP23nvv+M9//hNz5syJ9ddfP9q0aVPuNR06dMhlxYwePTpat25dunXp0qUGPgkAAAAAAHVdvUvnMmDAgNLn3bt3z0H1LbbYIn73u99FixYtPtc5R44cGSNGjCjdTyPRBdIBAAAAAKh3I9FXlUadb7311vHGG2/kPOnLli2LefPmlaszd+7cCnOoFzRr1ixatWpVbgMAAACAuubJJ5+MQYMG5UegZtT7IPrChQvjH//4R3Ts2DF22WWXWG+99WLy5Mml5TNmzMg503v16lWr7QQAAACAyliyZElcccUVecBoekz7QPWrd0H0M844Ix5//PF466238h23gw46KJo0aRKHH354zmc+dOjQnJrl0UcfzQuNHnvssTmAvvvuu9d20wEAAADgc7v99tvjgw8+yM/T4/jx42u7SdAg1Luc6LNnz84B8/QfxRe+8IXYa6+94qmnnsrPkyuvvDIaN24chxxySCxdujT69+8fv/jFL2q72QAAAABQqZhYCpqXlJTk/fSY9vv16xedO3eu7ebBOq3ejUS/44474p133skB8vSfR9r/8pe/XFrevHnzuPbaa+PDDz+MRYsWxd13373GfOgAAABQH40ePTp69OgRLVu2jPbt28fAgQNzStOyUqqHYcOGRbt27WKjjTbKA85SGoiyUgrU/fffPzbYYIN8njPPPDM++eSTcnUee+yx2HnnnfOaYltuuWXcfPPNNfIZgSgNmI8dO7bo8UJgHage9S6IDgAAAEROdZoC5Gl29qRJk2L58uV5RGoaUFYwfPjw+OMf/xh33XVXrp8GpR188MGl5StWrMgB9GXLluWUqbfccksOkI8aNaq0zptvvpnrfP3rX4/nn38+TjvttPjud78bDz30UI1/Zmio0s2uadOm5X+zZaX9dDyVA9WnUYlbVatZsGBBzq8+f/78aNWqVW03B+qtxYsXx4ABA/LzCRMmRIsWLWq7ScA6Rp8NAP/173//O48kT8Hy3r175/4xpT5N6R4OPfTQXOe1116L7bbbLqZMmZLXDku/07/1rW/l4HqHDh1ynXHjxsXZZ5+dz7f++uvn5w888EC89NJLpe912GGHxbx582LixIlr1TZ9NlROCt+dddZZ8eyzz5YLpKd1AnfZZZf46U9/Go0aNarVNsK6zEh0AAAAWAekAHXStm3b/Dh9+vQ8Or1v376ldbbddtvYfPPNcxA9SY/dunUrDaAnaW2xFPR++eWXS+uUPUehTuEcFUkpWNM5ym7A55cC5KeeemrR4wLoUL0E0QEAAKCeW7lyZU6zsueee8YOO+yQj82ZMyePJG/Tpk25uilgnsoKdcoG0AvlhbI11UmB8TT7tFi+9jTyvLB16dKlCj8tNExp8dCy6ZiStL/ZZpvVWpugoRBEBwAAgHou5UZP6VbuuOOOqAtGjhyZR8YXtlmzZtV2k2Cd8Morr6xxH6gegugAAABQj5188slx//33x6OPPppHqhZsuummecHQlLu8rLlz5+ayQp20v2p5oWxNdVJu82LrHjVr1iyXl92AynnmmWdK0ywVpJtn6ThQvQTRAQAAoJ4uNJgC6Pfcc0888sgj0bVr13LlabHB9dZbLyZPnlx6bMaMGTFz5szo1atX3k+PL774Yrz33nuldSZNmpSD3ttvv31pnbLnKNQpnAOomZRNF110UYVl6XgqB6qPIDoAAADU0xQut912W4wfPz5atmyZc5enrZCnPOUiHzp0aIwYMSKPUk8LjR577LE5+L377rvnOv369cvB8qOOOir+9re/xUMPPRTnnntuPncaTZ6ceOKJ8c9//jPOOuuseO211+IXv/hF/O53v4vhw4fX6ueHhmTq1KlFF+hNx1M5UH0E0QEAAKAeuu6663K+8T59+kTHjh1LtzvvvLO0zpVXXhnf+ta34pBDDonevXvn1Cx33313aXmTJk1yKpj0mILrRx55ZAwZMqTciNc0wv2BBx7Io8933HHHuPzyy+PXv/519O/fv8Y/MzRUPXv2LJoWKd0wS+VA9WlUkuZ/sdodvPQfUPoxIm8bfH5pBMyAAQPy8wkTJhTNlwjweemzAaB+0GdD5aXc52ecccZqx6+44orYeeeda6VN0FAYiQ4AAAAAddyuu+4a3bp1K3ese/fuAuhQAwTRAQAAAKAeuPjii6Nx4/8L56XHYouNAlVLEB2oEQceeGBtNwEAAADqtTZt2sTgwYNzAD09pn2g+jWtgfeAeiEtD7BkyZLabsY65dFHHy19vmzZsrwQ0V577VWrbVqXNG/ePBo1alTbzQAAAKAGDR06NG9AzRFEh/8vBdALi2BSPS699NLabsI6xWKtAAAAANVPOhcAAAAAACjCSHQokxojjeyl8hYvXhwHH3xw0fK7777bCOoq+jsLAAAAQPUSRIf/L+WWFtitGj/4wQ/WWH722WfHr371qxprDwAAAAB8XtK5AFXu6quvrlQ5AAAAANQVguhAtYzqr0w5AAAAANQVguhAlTvzzDMrVQ4AAAAAdYUgOlDlLrnkkkqVA7Vr9OjR0aNHj2jZsmW0b98+Bg4cGDNmzChXZ8mSJTFs2LBo165dbLTRRnHIIYfE3Llzy9WZOXNm7L///rHBBhvk86QbaJ988km5Oo899ljsvPPO0axZs9hyyy3j5ptvrpHPCKzuySefjEGDBuVHAKDuuuGGG+Ib3/hGfgRqhiA6UOUuvfTSSpUDtevxxx/PAfKnnnoqJk2aFMuXL49+/frFokWLSusMHz48/vjHP8Zdd92V67/zzjtx8MEHl5avWLEiB9CXLVuWA3K33HJLDpCPGjWqtM6bb76Z63z961+P559/Pk477bT47ne/Gw899FCNf2Zo6NKNsSuuuCLfDEuPaR8AqHvmzZsXt99+e6xcuTI/pn2g+jUqKSkpqYH3qVcWLFgQrVu3jvnz50erVq1quzlQ7yxcuDC+9a1vFS2///7788hVoH7497//nUeSp2B57969c//4hS98IcaPHx+HHnporvPaa6/FdtttF1OmTIndd989JkyYkP8fSMH1Dh065Drjxo2Ls88+O59v/fXXz88feOCBeOmll0rf67DDDssXAhMnTlyrtumzoWqkkWy33XZbpEuDtHbJUUcdFccdd1xtNwtYh+izoWqccsop8eKLL5bud+/ePa6++upabRM0BEaiA1Xu+uuvr1Q5ULeki92kbdu2+XH69Ol5dHrfvn1L62y77bax+eab5yB6kh67detWGkBP+vfvny+gX3755dI6Zc9RqFM4B1AzZs+enW+KFcbWpMe0n44DAHXHM888Uy6Anrzwwgv5OFC9BNGBKremUehrUw7UHWmaaEqzsueee8YOO+yQj82ZMyePJG/Tpk25uilgnsoKdcoG0AvlhbI11UmB9sWLF1fYnqVLl+byshvw+aWA+dixY4seN2kVAOrO7/KLLrqowrJ0PJUD1UcQHahy77//fqXKgboj5UZP6VbuuOOOqCuLnqap4IWtS5cutd0kqNfSAsDTpk3L6xiUlfbT8VQOANS+qVOnFh1Ako6ncqD6CKIDVW7XXXetVDlQN5x88sl5DYNHH300OnfuXHp80003zQuGrrqIUVqQMJUV6qT9VcsLZWuqk/KktmjRosI2jRw5MqeXKWyzZs2qok8LDVNKw9SjR49o0qRJueNpf7fddsvlAEDt69mzZ9H1BNLgklQOVB9BdKDKpYXJKlMO1K6UviEF0O+555545JFHomvXruXKd9lll1hvvfVi8uTJpcdmzJiRR6z26tUr76fHlK/xvffeK60zadKk/MN/++23L61T9hyFOoVzVKRZs2b5HGU34PNLi4ieeuqpRY+nRwCg9jVu3DhGjRpVYdn555+fy4Hq418YUOWGDBlSqXKg9lO4pJtdaWHBli1b5tzlaSvkKU8jXYYOHRojRozIo9TTQqPHHntsDn7vvvvuuU6/fv1ysPyoo46Kv/3tb/HQQw/Fueeem8+dAuHJiSeeGP/85z/jrLPOitdeey1+8YtfxO9+97sYPnx4rX5+aGjSTJMjjjiiNGCeHtP+ZpttVttNAwBWmdW96rpEaX/nnXeutTZBQyGIDlS5dAe8ECRbVTruDjnUbdddd11OldKnT5/o2LFj6XbnnXeW1rnyyivzIsGHHHJI9O7dO6dmufvuu8ulgkipYNJjCq4feeSR+QZa2cWQ0gj3Bx54II8+33HHHePyyy+PX//619G/f/8a/8zQ0A0ePDjfNEvSYwqiAwB1z6opFVfdB6pH02o6L9CApQVNli5dWmFZOp7K15SuAaj9dC6fpnnz5nHttdfmrZgtttgiHnzwwTWeJwXqn3vuuc/VTqB6/u2vzf8BAEDN69u3b9Hjf/rTn2q8PdCQGA4KVDkLiwJA/XL77bfHwoUL8/P0mNI5AQB1R1pr6JNPPqmwLB0vuxYRUPUE0YEq92kjTz+tHACoObNnz85B87Ij0dN+Og4A1A2DBg2qVDlQOYLoQJXbf//9K1UOANSMFDAfO3Zs0eNSuwBA3fCDH/ygUuVA5QiiA1XuX//6V6XKAYCaMXPmzJg2bVqsWLGi3PG0n46ncgCg9rVt27ZS5UDlCKIDVW6zzTarVDkAUDM233zz6NatW4Vl3bt3z+UAQO07//zzK1UOVI4gOlDlHnjggUqVAwC1TyoXAAD4P4LoQJWTEx0A6oeUruXFF1+ssCwdl84FAAAE0YFqICc6ANQPKV1Lu3btKizbZJNNpHMBgDrixBNPrFQ5UDmC6ECVk18VAOqH5cuXxwcffFBh2fvvv5/LAYDaN27cuEqVA5UjiA7UKPlVAaDuGD16dKXKAQCgIRBEB6qc/KoAUD+MHDmyUuUAANAQCKIDVS6la+nRo0c0blz+v5i0v9tuu0nnAgB1RNOmTWO99darsCwdT+UAQO17+OGHK1UONLAgeppSmoJzLVu2jPbt28fAgQNjxowZ5er06dMnGjVqVG6zwALUnPRv7tRTT82PqwbRKzoOANSOqVOnFs17no6ncgCg9v34xz+uVDnQwILojz/+eAwbNiyeeuqpmDRpUv5x369fv1i0aFG5escff3y8++67pduYMWNqrc3QEHXu3DmOOOKI0oB5ekz7m222WW03DQD4/9LglMqUAwA14/DDD69UOVA59W5+5sSJE8vt33zzzXlE+vTp06N3796lxzfYYIPYdNNNa6GFQMHgwYNjwoQJ8f7778cmm2ySg+gAQN0xbdq0Ty3v1atXjbUHAKjYK6+88qnl22yzTY21BxqaejcSfVXz58/Pj23bti13/Pbbb89Bux122CEviPTxxx8XPcfSpUtjwYIF5Tag8po3bx4DBgzIaVz23XffvA8A1B1GogNA/bDVVltVqhxowEH0lStXxmmnnRZ77rlnDpYXpNGut912Wzz66KM5gP6b3/wmjjzyyDXmWW/dunXp1qVLlxr6BLBuW7JkSR6Jnv6tpse0DwDUr5HoAEDtu+CCCypVDlROo5KSkpKop0466aQcmPvLX/6S8y8X88gjj8Q+++wTb7zxRnz5y1+ucCR62grSSPQUSE+j3Fu1alVt7Yd13Q033JBvaKX/ZlJO9KOOOiqOO+642m4WsA5JfXa6Aa7Phs8n3egeOHBghTMx07+te+65J88oA6gsfTZUzsKFC+Nb3/pW0fL7778/NtpooxptEzQk9fYX8cknn5z/g0ijzdcUQE969uyZH1MQvSLNmjXLnXjZDaic2bNnx/jx43MAPUmPaT8dBwDqhhQg//73v19hWTougA4AdUMKkBdLkZqOC6BD9ap3v4pTIC4F0NOomDTCvGvXrp/6mueffz4/duzYsQZaCKR/p2PHji0NoJcd7VbRcQCgdqQ+efLkyRWW/elPf9JnA0AdkTIoFEuRmo6XzbAAVL16F0QfNmxYTg+RRrS2bNky5syZk7fFixfn8n/84x9x8cUXx/Tp0+Ott96K++67L4YMGRK9e/eO7t2713bzoUGYOXNmzqGaguZlpf10PJUDAHWnz66IPhsA6o7zzjuvUuVAAwuiX3fddTmHWp8+ffLI8sJ255135vL1118/j5rp169fbLvttnH66afHIYccEn/84x9ru+nQYGy++ebRrVu3CsvSzaxUDgDUvnbt2lWqHACoGWnAaGXKgcppGvXMp00pTQuCPv744zXWHuCzMS0cAOqOE0444VPL0wxQAKB2pfX80qC0F154YbWynXbaKZcD1afejUQH6r409fvFF1+ssCwdNzUcAOqG66+/vlLlAEDNSOlRU9riivzzn/9cLZ0qULUE0YEql2aEtGrVqsKydDyVAwC174MPPqhUOQBQM6ZOnRoLFiyosCwdT+VA9RFEB6rcrFmz1ti5p3IAoPZZxwQA6oeePXsWHazWunXrXA5UH0F0oMqlC+4ePXpEo0aNyh1P+7vttpsLcgCoB6xjAgB1R+PGjWPUqFEVlp1//vm5HKg+/oUBVS4Fy0899dTVOvEmTZrk46sG1wGA2mEdEwCoP3bdddfVZpClmWM777xzrbUJGgpBdKBadO7cOY444ojSgHl6TPubbbZZbTcNAFhl9tiqN77TvtljAFD3XHzxxaX9dnq86KKLartJ0CAIogPVZvDgwdGuXbv8fJNNNslBdACg7s0eW3WWWLooN3sMAOqeNm3a5Gvt1Fenx7QPVD9BdKDaNG/ePEaMGBEdOnSI4cOH530AoG7OHivL7DEAqLuGDh0ajzzySH4EaoYgOlCt9thjj7jzzjvzIwBQNx1yyCHlpoYffPDBtd0kAACoMwTRAQCggfvDH/4QK1euzM/T4913313bTQIAgDpDEB0AABqw2bNnx/jx48sdS/vpOAAAIIgOAAANVklJSYwdO7Z0FHrBihUr8vFUDgDULQcccED06dMnPwI1QxAdAAAaqJkzZ8a0adNWC5an/XQ8lQMAdcezzz4b//nPf/Lz9Jj2geoniA4AAA1Uly5dolWrVhWWpeOpHACoO0aMGLHGfaB6CKIDAEADNWvWrFiwYEGFZel4KgcA6oYLLrjgMx0Hqo4gOgAANFCffPJJpcoBgJqxdOnSeOyxxyosS8dTOVB9mlbjuQEAGryUW3rJkiW13Yx17jt1oVg1hg4d+qnl99xzT421Z13VrFmzaNSoUW03Y53SvHlz3ynQoJxxxhmfWn7NNdfUWHugoRFEBwCoRimAPmDAgNpuBnxuBx10UG03AVYzYcKEaNGiRW03A/gUBhNUnRdffPFTyxcvXlxj7VlXuUlLMYLoAECtuvbaa+Oyyy6LOXPmxI477phH0Oy222613SwAoIH66KOParsJ64wUQD/88MNruxkNhoEblffb3/42B9KpGhtvvHGsKwTRgWr15JNPxtixY+PUU0+NPfbYo7abA9Qxd955Z4wYMSLGjRsXPXv2jKuuuir69+8fM2bMiPbt29d28wCABnjj2wwcaLjc9KlajxXJ418fNSpJc2soZ8GCBdG6deuYP39+tGrVqrabA/V61MGRRx4Z77//fmyyySZx2223uaMLlJMC5z169Iif//zneX/lypXRpUuXOOWUU+KHP/zhOtFnF6Yxm8pcdYxqo74xqq1qpe/SdPvaufE9ZMiQcje+77rrrrW+8V0f+uyCPn361HYTANYJjwmir9vqU+cOddkNN9wQv/nNb0r304/u4447rlbbBNQdy5Ytiw022CB+//vfx8CBA0uPH3300TFv3rz43//939VekxaTLLugZOqzU9Bdn92wyK9as9O+U+5pKkfAl3VBQ7jxXSCdS9Vx45v6xo3vqrWxdC4AazZ79uy4/fbbyx1L+/369YvOnTvXWruAuiPNUlmxYkV06NCh3PG0/9prr1X4mtGjR8eFF15YQy2krkrBSAsK1hzfNZBufE+fPj1GjhxZeqxx48bRt2/fmDJlSoWvqejGd32xLgV96sKNbzdjq4Yb3zXDjW+KEUQHquWHUsqDvupElzRaJR0fM2aMTgn4XNLFe8qhvupIdODzadOmTZ75saZyADe++bzc+K5ZvmuoPo2r8dxAAzVz5syYNm3aakH0tJ+Op3KAtFZCkyZNYu7cueWOp/1NN920wtc0a9YsTwEvuwGfX8pnXJlygDXd+E6pWwrbrFmzartJUK/96le/qlQ5UDmC6ECVS6NCiwW20nGjRoFk/fXXj1122SUmT55cbsZK2u/Vq1ettg0aimuuuaZS5UDD4MY31L4tt9yyUuVA5QiiA1UujTIplvMwHTcKBShIqVnSqJlbbrklXn311TjppJNi0aJFceyxx9Z206BB2HXXXStVDjQMbnxD7fu0Gd1mfEP1khMdqHKbb7559OjRI5555plyKV1SPrx0PJUDJIMGDYp///vfMWrUqJgzZ07stNNOMXHixNVyrgLVY6+99srBsbRo4KrS8VQOULjxffTRR+eba7vttltcddVVbnxDLVxnpxSpq0r/Jl1nQ/VqVLJq0mLySNnWrVvnvG2mnMHnM3v27PwjOy1AVNC0adM82nSzzTar1bYB6w59NlReuul9xhlnrHb8iiuuiJ133rlW2gTUTT//+c/jsssuK73xffXVV0fPnj3X6rX6bKg819lQe6RzAapF586d44gjjsijz5P0mPZ17ABQt6RRpavmUU37AujAqk4++eR4++23Y+nSpTF16tS1DqADVcN1NtQeQXSg2gwePDjatWtXuhhR6twBgLrnZz/72Rr3AYC6wXU21A5BdKDaNG/ePOdOTLmNhw8fnvcBgLqnTZs2cdRRR0Xjxo3zY9oHAOoe19lQO+REr4BcbQBQP+izAaB+0GcDUJ8ZiQ4AAAAAAEUIogMAAAAAQBGC6AAAAAAAUIQgOgAAAAAAFCGIDgAAAAAARQiiAwAAAABAEYLoAAAAAABQhCA6AAAAAAAUIYgOAAAAAABFCKIDAAAAAEARgugAAAAAAFCEIDoAAAAAABQhiA4AAAAAAEU0LVbQkJWUlOTHBQsW1HZTAGA1LVu2jEaNGtV2M+oEfTYAdZk++7/02QDU5z5bEL0C//nPf/Jjly5darspALCa+fPnR6tWrWq7GXWCPhuAukyf/V/6bADqc5/dqKRwO5hSK1eujHfeeceoAagCaaRJ+qE8a9YsFxBQRfRP/6XPhqqjz4aqp3/6L302VB19NlQ9I9E/h8aNG0fnzp1ruxmwTkkdu84dqGr6bKh6+mygOuizoerps6HmWFgUAAAAAACKEEQHAAAAAIAiBNGBatWsWbM4//zz8yMAUHfpswGgftBnQ82zsCgAAAAAABRhJDoAAAAAABQhiA4AAAAAAEUIogMAAAAAQBGC6AAAAAAAUIQgOgAAAAAAFCGIDgAAAAAARQiiAwAAAABAEYLoAAAAAABQhCA6AAAAAAAUIYgOAAAAAABFCKIDAAAAAEARgugAAAAAAFCEIDoAAAAAABQhiA51zFtvvRWNGjWK559/fq1fc8wxx8TAgQPXWKdPnz5x2mmnRV118803R5s2bWr8u6tL1ubPEYCGoaH+HlgX+nMA1i0NuU+uDl/84hfjqquuqu1mwGfW9LO/BKhOXbp0iXfffTc22WST2m5Kg5d++MybNy/uvffe2m4KAA2M3wMAUDfok4HESHSoQ5YtWxZNmjSJTTfdNJo2dY9rXfpzBYC15fcAANQN+mSgQBAdPofrr78+OnXqFCtXrix3/MADD4zjjjsuP//HP/6R9zt06BAbbbRR9OjRI/70pz+tNo3p4osvjiFDhkSrVq3ihBNOWG2q2IoVK2Lo0KHRtWvXaNGiRWyzzTYxduzYCtt14YUXxhe+8IV8rhNPPHGNwdulS5fGGWecEZtttllsuOGG0bNnz3jssceiOqVR3d/73vfyd9K8efPYYYcd4v777y9X56GHHortttsuf2f77rtvvuNfkL7viy66KDp37hzNmjWLnXbaKSZOnLjG93zppZdiwIAB+XzpfY866qh4//33S8t///vfR7du3fJ3265du+jbt28sWrQoLrjggrjlllvif//3f/OfR9oK38+sWbPif/7nf3L6mbZt2+Y/5/TnturUvUsvvTT/PUl/ZsmLL74Y3/jGN0rfK/15L1y4sMq+XwBqlt8Dn89rr70We+21V/4tsP322+fvI33WYjO/Kkr5luqm15T1xz/+MX+/6bxptOBBBx1UrZ8DgLpDn/zZlZSU5OvezTffPF9fp+/vBz/4Qbnv4pJLLsnfRfq+tthii7jvvvvi3//+d/4e07Hu3bvHM888U+68f/jDH+IrX/lKPmc6x+WXX77Gdvz617/O/fzkyZPX6hoeaosgOnwO3/nOd+KDDz6IRx99tPTYhx9+mAO6gwcPzvspOLrffvvljuC5557LAeEDDjggZs6cWe5cP/vZz2LHHXfMdc4777zV3iv9CEhB47vuuiteeeWVGDVqVPzoRz+K3/3ud+Xqpfd59dVXcyf729/+Nu6+++7cYRdz8sknx5QpU+KOO+6IF154IX+m1MbXX3+96GsKHVmxLXWUxaTPkV7/17/+NW677bb8WX7yk5/ku/oFH3/8cf4+fvOb38QTTzyRv6v0I6Ig/TBJHXCqk9rcv3//+Pa3v120zSlon4LWX/3qV3PHnv585s6dmwPgSQrQH3744flHVeG7O/jgg/OPifS+qV4hkJ+2PfbYI5YvX57ft2XLlvHnP/85f55CwL/sD6L05zFjxoyYNGlSvlGQAvPpdRtvvHFMmzYt/3mmH2zpzwGA+snvgc/+eyAFHtKN5g022CCmTp2agx7nnHNOVNYDDzyQg+bpu07fYfoedtttt0qfF4D6QZ/82fvkFOy+8sor45e//GV+j3SDOg0wKyuV77nnnvm72H///XNAOwXVjzzyyHj22Wfjy1/+ct5P19DJ9OnT83X0YYcdlgeRpSB9+g7TDfGKjBkzJn74wx/Gww8/HPvss8+nXsNDrSoBPpcDDzyw5Ljjjivd/+Uvf1nSqVOnkhUrVhR9zVe+8pWSa665pnR/iy22KBk4cGC5Om+++WbqfUqee+65oucZNmxYySGHHFK6f/TRR5e0bdu2ZNGiRaXHrrvuupKNNtqotD1f+9rXSk499dT8/O233y5p0qRJyb/+9a9y591nn31KRo4cWfR9Z8+eXfL6668X3d56662ir33ooYdKGjduXDJjxowKy2+66ab8ud94443SY9dee21Jhw4dSvfT93vppZeWe12PHj1Kvv/971f43V188cUl/fr1K1d/1qxZuU5qx/Tp0/PzYu1O32v6cy7rN7/5Tck222xTsnLlytJjS5cuLWnRokX+jIXXpXan4wXXX399ycYbb1yycOHC0mMPPPBA/k7mzJlT9P0AqNv8HvhsvwcmTJhQ0rRp05J333239NikSZPyZ73nnnsq/OzpN0Lr1q3LnSfVLXsp06tXr5LBgwcXfV8A1n365M/WJ19++eUlW2+9dcmyZcsqLE/fxZFHHlm6n/ru9D2cd955pcemTJmSjxX69SOOOKLkm9/8ZrnznHnmmSXbb799ufNeeeWVJWeddVZJx44dS1566aXSsk+7hofaJKETfE7pbvbxxx8fv/jFL/I0pdtvvz3fbW3cuHHpXe501zWNjEqjmD/55JNYvHjxane5d9111099r2uvvTZuvPHG/Np0jjTiOaUyKSvdKU+jugp69eqV25BSj6RpV2WlO8JpJNjWW2+92vSxlGakmDSt7PNKU9/S3fpV37Os1P50J7ugY8eO8d577+XnCxYsiHfeeSffBS8r7f/tb3+r8HzpeBqJkO7ArypN5evXr1++253utqdR4mn/0EMPzaPFi0nnfOONN/JI9LKWLFmSz1mQzrn++uuX7qcRCOnPKE3LK9v2NIohjVhP09QAqH/8HvhsUp+XFmhLuWULqmLEePqdkf4cAGi49MmfTRrpftVVV8WXvvSlPOI9jdJPI/PL5n5P6VoKCtesZUerF46l6/bUt6fr3pTqpax03ZveJ32+wkz0NMM8zdZOo83T+6/tNfya4glQ3QTR4XNKnUuaspQ64JRLLaX2SFOdClI6kJTKI00F23LLLXOutBSgXTUHWtmgakXSVK50rtTJpE43BW8vu+yyPAX680odd+q80lSrsulUkoo6q7JTxdLnLCb9EHj55ZcrLEuf/9Ost9565fZT3rnCtLDP+znTn9NPf/rT1cpSgD599vRn9OSTT+bpY9dcc02eUp6+25Tfrtg5d9lll/yDbFUp193a/rkCsG7we+Cz/R74PFLwY9XfAym92mf9nQHAuk2f/Nn65HRTO93cTmlG0/fy/e9/P3+Oxx9/vPTavOw1emEtkoqOrZqL/tPsvffe+c8ppcBJ6VzW9hoeapMgOnxOadGqlD87BVPTyOS0mMjOO+9cWp5yZacFJguLWqXOoOzik2srnSfl4k4dWkHZEc9l79imO+CFi8innnoqd7apY1xVyi+W7gKnu8Wp81pbacGP9B5rGwQvK93Bnj17dvz973//XHeP00IsaaGT9H187WtfKz2e9ouNYEt/HinPW1rMpNhK6qnTT3fG05Zy2aUfGffcc0+MGDEijyRP39Oq57zzzjujffv2uU1rKy2WmvLApbvthR9lqe0pMFBYeBSA+sfvgc/2eyB9P2kEXspvWhi9ltYKWZN0k/o///lPuT60sLhb2d8ZKffsscceu9afA4B1iz75s/XJSWpbClqnbdiwYbHtttvmUfFlv7fPIl33pu+nrLSfYgBlbw6ka/iUAz6NgE/X6oW10NbmGh5qi7+RUMnpYt/61rfynd20sEZZW221VV44JHVGKVCbFtP4rHdnC+e59dZb46GHHsqjo9Oim+lic9WR0unueVoh/Nxzz80/BM4///zcKRWmrpWVOrDU9rQASLp7njrstMJ2uvhMF6FpwZCqniqWAt+9e/eOQw45JK644op85/+1117L303qONfGmWeemT9XSvmSpsrddNNN+SK6olHhSfoR8Ktf/SovHnrWWWdF27Zt84+pNHIg/dhIU8fSZ05pXFJQPI0cSN9D6viT1HGn7z3dnU9T6Fq3bp2/t3R3Pk1Ru+iii3KKmrfffjv/Waf3SPsVSa9LbT/66KPzFML0PqecckpemEUqF4D6ze+BtffNb34z9+OpP0yLiaXgeGpr2dFsq+rZs2eeDp8WbfvBD36Q++tVFyhLnzOlaEvnTlP30xT9Bx98MM4+++zP3VYA6h998tpLfWkK3Bf62dtuuy0H1VdNNfNZnH766XkWwMUXXxyDBg3KC6X+/Oc/zyl2VpVuRKS+Oo2mTwHz00477VOv4VcdpQ81afV/ucBaS6tGp//UU5D1iCOOKFeWAsUpt3bqGFInnXJuf567ud/73vfy3fTUAaXOLa04XvaOd0G6cEydeQpUp7rf/va3c7C2mBSATh106uTSHfqBAwfmjn/zzTeP6pLuKKcONXWI22+/fe4UVx3pvSbpwjmNEE9tTnnY0krd9913X/7cFSmMXE/vkQLl6TWpY27Tpk3+4ZJGkj/xxBM591v60ZJ+3KQfLKkTT1I+vfTdpJx4aRRcOlf6cZFek76n9OeSAu7ph1HKib6mkenpdelHVlohPn0Hadpg+jNLPygAqN/8Hlh76eL33nvvzaP/Un/43e9+N6dSK4wgrEj6btOFfbrQTn35b3/729U+U58+feKuu+7KvwvSjfb0Z/L0009Xy2cAoO7SJ6+9dF2cAtZpVnYK1Ke0Ln/84x/XmIP906TvM6VoSUHvHXbYIc/2ToPP0gyAiuy11145rUu6Fk/pVT/tGh5qU6O0umittgAAAGiw0sVyuohOI83KLjAOAAB1hSA6AABQY9LaIyknbBqdlwLnp556ah4Z+Je//KW2mwYAABWSEx0AAKgxKQ96ylU+c+bM2GSTTaJv3745nRoAANRVRqIDAAAAAEARsvIDAAAAAEARgugAAAAAAFCEIDoAAAAAABQhiF6BlCZ+wYIF+REAqLv02QBQP+izAajPBNEr8J///Cdat26dHwGAukufDQD1gz4bgPpMEB0AAAAAAIoQRAcAAAAAgCIE0QEAAAAAoAhBdAAAAAAAKEIQHQAAAAAAihBEBwAAAACAIgTRAQAAAACgCEF0AAAAAAAoQhAdAAAAAACKEEQHAAAAAIAiBNEBAAAAAKAIQXQAAAAAAChCEB0AAAAAAIoQRAcAAAAAgCIE0QEAAAAAoC4G0a+77rro3r17tGrVKm+9evWKCRMmrPE1d911V2y77bbRvHnz6NatWzz44IPlyktKSmLUqFHRsWPHaNGiRfTt2zdef/31av4kALBu02fDuq9Pnz6lG7Bue+KJJ+KAAw6ITp06RaNGjeLee+/91Nc89thjsfPOO0ezZs1iyy23jJtvvrlG2gqsTp8NDSyI3rlz5/jJT34S06dPj2eeeSa+8Y1vxIEHHhgvv/xyhfWffPLJOPzww2Po0KHx3HPPxcCBA/P20ksvldYZM2ZMXH311TFu3LiYOnVqbLjhhtG/f/9YsmRJDX4yAFi36LNh3bbqRbiLcli3LVq0KHbccce49tpr16r+m2++Gfvvv398/etfj+effz5OO+20+O53vxsPPfRQtbcVKE+fDbWjUUkaBlaHtG3bNi677LJ80b2qQYMG5c7+/vvvLz22++67x0477ZQvwNNHSXfSTz/99DjjjDNy+fz586NDhw75Lvlhhx22Vm1YsGBBtG7dOr82jbYDAFanz4Z1R0UX4GnUKbDuSyPR77nnnnyzu5izzz47HnjggXI3w1NfPW/evJg4ceJavY8+G6qGPhtqR9OoI1asWJGnfacL7jRFvCJTpkyJESNGlDuWRqwVpp6lu+Nz5szJ08ELUifds2fP/Nq1vSCnYUoBHaMfq/47Xbp0aX6epn2mH+hUnZQiw3dKbdBnw7ql2Ai2dNxFOZCkvrlsn13o19OIdKDm6LOhAQfRX3zxxXwBnoKXG220Ub4Dvv3221dYN11spxFqZaX9dLxQXjhWrE5FUpCvEOgr3CGn4Ul/BwcMGFDbzYC1lvJRpzzSUFP02bDu+bQp4C7KgTX166kfXrx4cYW/SfXZULX02dCAc6In22yzTc6plnKhnnTSSXH00UfHK6+8UqNtGD16dB79Vti6dOlSo+8PAPWBPhsAWFv6bADWJbU+En399dfPK3snu+yyS0ybNi3Gjh0bv/zlL1eru+mmm8bcuXPLHUv76XihvHCsY8eO5eqkHKzFjBw5styU83SHXAffMFNjpJG9VJ00WvWggw7Kz9OI1fQdU3V8n9Q0fTYANEzF+vWU27zYzEh9NgDrkloPoq9q5cqV5aZ8lZWmkE+ePLlc3rVJkyaV5mPt2rVr7txTncIFeOqoCyPmikm5mtNGw5ZyS0uNUb0BX98vrFv02VD/pWnfa5oeblo4kKT++8EHHyx3rGy/XhF9NlQtfTY04CB6ujOdclBvvvnm8Z///CfGjx+f/9E/9NBDuXzIkCGx2Wab5Wlgyamnnhpf+9rX4vLLL4/9998/7rjjjnjmmWfi+uuvLw2Cpov1Sy65JLbaaqt8gX7eeedFp06d1rjSOACwZvpsaHgX5S7GYd21cOHCeOONN0r304LfKWVb27Ztc1+f+v1//etfceutt+byE088MX7+85/HWWedFccdd1w88sgj8bvf/S4eeOCBWvwU0PDos6GBBtHfe++9fNH97rvv5hxp3bt3zxfj3/zmN3P5zJkzo3Hj/6Zt32OPPfJF+7nnnhs/+tGP8kX3vffeGzvssENpndSpL1q0KE444YSYN29e7LXXXjFx4kRpDwCgEvTZALDuSDe2v/71r5fuF9KupPVObr755tzfp769IN3sTgHz4cOH51RunTt3jl//+tfRv3//Wmk/ANS0RiUlJSU1/q51XJpOngIE8+fPzznegM9n8eLFeeRqkvLNS+cCVDV9NlSdsiPbjGgDqpo+G6qOPhtqXp3LiQ4AANQ8F+EAUD/os6Hm/XfeNQAAAAAAUI4gOgAAAAAAFCGIDgAAAAAARQiiAwAAAABAEYLoAAAAAABQhCA6AAAAAAAUIYgOAAAAAABFCKIDAAAAAEARgugAAAAAAFCEIDoAAAAAABQhiA4AAAAAAEUIogMAAAAAQBGC6AAAAAAAUIQgOgAAAAAAFCGIDgAAAAAARQiiAwAAAABAEYLoAAAAAABQhCA6AAAAAAAUIYgOAAAAAABFCKIDAAAAAEARgugAAAAAAFCEIDoAAAAAABQhiA4AAAAAAEUIogMAAAAAQBGC6AAAAAAAUIQgOgAAAAAAFCGIDgAAAAAARQiiAwAAAABAEYLoAAAAAABQhCA6AAAAAAAUIYgOAAAAAABFCKIDAAAAAEARgugAAAAAAFCEIDoAAAAAABQhiA4AAAAAAEUIogMAAAAAQBGC6AAAAAAAUIQgOgAAAAAAFCGIDgAAAAAARQiiAwAAAABAXQyijx49Onr06BEtW7aM9u3bx8CBA2PGjBlrfE2fPn2iUaNGq237779/aZ1jjjlmtfJ99923Bj4RAKyb9NkAAAA0VE1r880ff/zxGDZsWL4o/+STT+JHP/pR9OvXL1555ZXYcMMNK3zN3XffHcuWLSvd/+CDD2LHHXeM73znO+XqpQvwm266qXS/WbNm1fhJAGDdps8GAACgoarVIPrEiRPL7d988815dNv06dOjd+/eFb6mbdu25fbvuOOO2GCDDVa7IE8X4Jtuumk1tBoAGh59NgAAAA1VncqJPn/+/AovutfkhhtuiMMOO2y1UXCPPfZYvrjfZptt4qSTTsqj3wCAqqHPBgAAoKGo1ZHoZa1cuTJOO+202HPPPWOHHXZYq9c8/fTT8dJLL+WL8lWnhR988MHRtWvX+Mc//pGnnA8YMCCmTJkSTZo0We08S5cuzVvBggULquATAcC6SZ8NAABAQ1Jngugpz2q6uP7LX/6y1q9JF+LdunWL3XbbrdzxNMqtIJV37949vvzlL+eRbvvss0+Fi6VdeOGFlfwEANAw6LMBAABoSOpEOpeTTz457r///nj00Uejc+fOa/WaRYsW5dyqQ4cO/dS6X/rSl2KTTTaJN954o8LykSNH5mnphW3WrFmf+TMAQEOgzwYAAKChqdWR6CUlJXHKKafEPffck0ecpanca+uuu+7K07mPPPLIT607e/bsnF+1Y8eOFZanBc3SBgBUTJ8NAABAQ9W4tqeD33bbbTF+/Pho2bJlzJkzJ2+LFy8urTNkyJA86qyiaeEDBw6Mdu3alTu+cOHCOPPMM+Opp56Kt956KyZPnhwHHnhgbLnlltG/f/8a+VwAsK7RZwMAANBQ1epI9Ouuuy4/9unTp9zxm266KY455pj8fObMmdG4cflY/4wZM3Ie1ocffni1c6ZFyF544YW45ZZbYt68edGpU6fo169fXHzxxUauAcDnpM8GAACgoWpUkuZnU86CBQuidevWOddqq1atars5UG+lEaoDBgzIzydMmBAtWrSo7SYB6xh9NgDUD/psAOqzOrGwKAAAAAAA1EWC6AAAAAAAUIQgOgAAAAAAFCGIDgAAAAAARQiiAwAAAABAEYLoAAAAAABQhCA6AAAAAAAUIYgOAAAAAABFCKIDAAAAAEARgugAAAAAAFCEIDoAAAAAABQhiA4AAAAAAEUIogMAAAAAQBGC6AAAAAAAUIQgOgAAAAAAFCGIDgAAAAAARQiiAwAAAABAEYLoAAAAAABQhCA6AAAAAAAUIYgOAAAAAABFCKIDAABAA3PttdfGF7/4xWjevHn07Nkznn766TXWv+qqq2KbbbaJFi1aRJcuXWL48OGxZMmSGmsvANQmQXQAAABoQO68884YMWJEnH/++fHss8/GjjvuGP3794/33nuvwvrjx4+PH/7wh7n+q6++GjfccEM+x49+9KMabzsA1AZBdAAAAGhArrjiijj++OPj2GOPje233z7GjRsXG2ywQdx4440V1n/yySdjzz33jCOOOCKPXu/Xr18cfvjhnzp6HQDWFYLoAAAA0EAsW7Yspk+fHn379i091rhx47w/ZcqUCl+zxx575NcUgub//Oc/48EHH4z99tuvxtoNALWpaa2+OwAAAFBj3n///VixYkV06NCh3PG0/9prr1X4mjQCPb1ur732ipKSkvjkk0/ixBNPXGM6l6VLl+atYMGCBVX4KQCgZhmJDgAAABT12GOPxY9//OP4xS9+kXOo33333fHAAw/ExRdfXPQ1o0ePjtatW5duaTFSAKivjEQHAACABmKTTTaJJk2axNy5c8sdT/ubbrppha8577zz4qijjorvfve7eb9bt26xaNGiOOGEE+Kcc87J6WBWNXLkyLx4admR6ALpANRXRqIDAABAA7H++uvHLrvsEpMnTy49tnLlyrzfq1evCl/z8ccfrxYoT4H4JKV3qUizZs2iVatW5TYAqK+MRAcAAIAGJI0QP/roo2PXXXeN3XbbLa666qo8svzYY4/N5UOGDInNNtssp2RJDjjggLjiiiviq1/9avTs2TPeeOONPDo9HS8E0wFgXSaIDgAAAA3IoEGD4t///neMGjUq5syZEzvttFNMnDixdLHRmTNnlht5fu6550ajRo3y47/+9a/4whe+kAPol156aS1+CgCoOY1Kis29asBSrra08Mn8+fNNOYNKWLx4cQwYMCA/nzBhQrRo0aK2mwSsY/TZAFA/6LMBqM/kRAcAAAAAgCIE0QEAAAAAoAhBdAAAAAAAKEIQHQAAAAAAihBEBwAAAACAIgTRAQAAAACgCEF0AAAAAAAoQhAdAAAAAACKEEQHAAAAAIAiBNEBAAAAAKAuBtFHjx4dPXr0iJYtW0b79u1j4MCBMWPGjDW+5uabb45GjRqV25o3b16uTklJSYwaNSo6duwYLVq0iL59+8brr79ezZ8GANZd+mwAAAAaqloNoj/++OMxbNiweOqpp2LSpEmxfPny6NevXyxatGiNr2vVqlW8++67pdvbb79drnzMmDFx9dVXx7hx42Lq1Kmx4YYbRv/+/WPJkiXV/IkAYN2kzwYAAKChalqbbz5x4sTVRqyl0W3Tp0+P3r17F31dGsm26aabVliWRrRdddVVce6558aBBx6Yj916663RoUOHuPfee+Owww6r4k8BAOs+fTYAAAANVZ3KiT5//vz82LZt2zXWW7hwYWyxxRbRpUuXfNH98ssvl5a9+eabMWfOnDwdvKB169bRs2fPmDJlSoXnW7p0aSxYsKDcBgAUp88GAACgoagzQfSVK1fGaaedFnvuuWfssMMORetts802ceONN8b//u//xm233ZZft8cee8Ts2bNzeboYT9IotrLSfqGsojyv6aK9sKULfQCgYvpsAAAAGpI6E0RPeVZfeumluOOOO9ZYr1evXjFkyJDYaaed4mtf+1rcfffd8YUvfCF++ctffu73HjlyZB5RV9hmzZr1uc8FAOs6fTYAAAANSa3mRC84+eST4/77748nnngiOnfu/Jleu95668VXv/rVeOONN/J+Ie/q3Llzo2PHjqX10n66iK9Is2bN8gYArJk+GwAAgIamVkeipwXF0sX4PffcE4888kh07dr1M59jxYoV8eKLL5ZefKdzpIvyyZMnl9ZJ+VKnTp2aR8QBAJ+dPhsAAICGqmltTwcfP358zpXasmXL0vynKcdpixYt8vM0DXyzzTbLOVCTiy66KHbffffYcsstY968eXHZZZfF22+/Hd/97ndzeaNGjXKe1ksuuSS22mqrfIF+3nnnRadOnWLgwIG1+GkBoP7SZwMAANBQ1WoQ/brrrsuPffr0KXf8pptuimOOOSY/nzlzZjRu/N8B8x999FEcf/zx+eJ94403jl122SWefPLJ2H777UvrnHXWWbFo0aI44YQT8kX7XnvtFRMnTozmzZvX2GcDgHWJPhsAAICGqlFJmp9NOWkqeRpZlxYsa9WqVW03B+qtxYsXx4ABA/LzCRMmlI5WBagq+mwAqB/02QDUZ7WaEx0AAAAAAOoyQXQAAAAAAChCEB0AAAAAAIoQRAcAAAAAgCIE0QEAAAAAoAhBdAAAAAAAKEIQHQAAAAAAihBEBwAAAACAIgTRAQAAAACgCEF0AAAAAAAoQhAdAAAAAACKEEQHAAAAAIAiBNEBAAAAAKAIQXQAAAAAAChCEB0AAAAAAIoQRAcAAAAAgCIE0QEAAAAAoAhBdAAAAAAAKEIQHQAAAAAAihBEBwAAAACAIgTRAQAAAACgCEF0AAAAAAAoQhAdAAAAAACKEEQHAAAAAIAiBNEBAAAAAKAIQXQAAAAAAChCEB0AAAAAAIoQRAcAAAAAgCIE0QEAAAAAoAhBdAAAAAAAKEIQHQAAAAAAihBEBwAAAACAIgTRAQAAAACgCEF0AAAAAAAoQhAdAAAAAACKEEQHAAAAAIAiBNEBAAAAAKAIQXQAAAAAAChCEB0AAAAAAIoQRAcAAAAAgCIE0QEAAAAAoC4G0UePHh09evSIli1bRvv27WPgwIExY8aMNb7mV7/6Vey9996x8cYb561v377x9NNPl6tzzDHHRKNGjcpt++67bzV/GgBYd+mzAQAAaKhqNYj++OOPx7Bhw+Kpp56KSZMmxfLly6Nfv36xaNGioq957LHH4vDDD49HH300pkyZEl26dMmv+de//lWuXroAf/fdd0u33/72tzXwiQBg3aTPBgAAoKFqVFJSUhJ1xL///e88ui1dqPfu3XutXrNixYo8uu3nP/95DBkypHRU27x58+Lee+/9XO1YsGBBtG7dOubPnx+tWrX6XOcAIhYvXhwDBgzIzydMmBAtWrSo7SYBVUSfDQB8FvpsAOqzOpUTPXWmSdu2bdf6NR9//HEeDbfqa9Lot3Rxv80228RJJ50UH3zwQdFzLF26NHfoZTcAoDh9NgAAAA1FnQmir1y5Mk477bTYc889Y4cddljr15199tnRqVOnnGe17LTwW2+9NSZPnhw//elP8yi5NBo2jYArluc13REvbGm6OQBQMX02AAAADUmdSeeSRp6ldA9/+ctfonPnzmv1mp/85CcxZsyYPIKte/fuRev985//jC9/+cvxpz/9KfbZZ58KR7WlrSCNaksX5aaZQeVI5wLrJn02APBZSecCQH1WJ0ain3zyyXH//ffnhcfW9mL8Zz/7Wb4gf/jhh9d4MZ586Utfik022STeeOONCsubNWuWO/GyGwCwOn02AAAADU3T2nzzNAj+lFNOiXvuuSePTOvatetavS6NZLv00kvjoYceil133fVT68+ePTvnV+3YsWMVtBoAGh59NgAAAA1VrY5EHzZsWNx2220xfvz4aNmyZcyZMydvKQVEwZAhQ2LkyJGl+ylf6nnnnRc33nhjfPGLXyx9zcKFC3N5ejzzzDPjqaeeirfeeivnWD3wwANjyy23jP79+9fK5wSA+k6fDQAAQENVq0H06667LudD69OnTx5xVtjuvPPO0jozZ86Md999t9xrli1bFoceemi516Sp4kmTJk3ihRdeiG9/+9ux9dZbx9ChQ2OXXXaJP//5z3kKOADw2emzAQAAaKjqzMKidYkFT6BqWFgUqG76bAD4fK699tq47LLL8iyxHXfcMa655prYbbfditafN29enHPOOXH33XfHhx9+GFtssUVcddVVsd9++63V++mzAajPajUnOgAAAFCz0kyyESNGxLhx46Jnz545GJ5Sqc2YMSPat2+/Wv00s+yb3/xmLvv9738fm222Wbz99tvRpk2bWmk/ANQ0QXQAAABoQK644oo4/vjj49hjj837KZj+wAMP5HVMfvjDH65WPx1Po8+ffPLJWG+99fKxtN4JADQUtZoTHQAAAKg5aVT59OnTo2/fvqXHGjdunPenTJlS4Wvuu+++6NWrV15ovEOHDrHDDjvEj3/841ixYkUNthwAao+R6AAAANBAvP/++zn4nYLhZaX91157rcLX/POf/4xHHnkkBg8eHA8++GC88cYb8f3vfz+WL18e559/foWvWbp0ad7K5kQHgPrKSHQAAACgqJUrV+Z86Ndff33ssssuMWjQoLzIaEoDU8zo0aPzQqKFrUuXLjXaZgCoSoLoAAAA0EBssskm0aRJk5g7d26542l/0003rfA1HTt2jK233jq/rmC77baLOXPm5PQwFRk5cmTMnz+/dJs1a1YVfxIAqDmC6AAAANBArL/++nk0+eTJk8uNNE/7Ke95Rfbcc8+cwiXVK/j73/+eg+vpfBVp1qxZtGrVqtwGAPWVIDoAAAA0ICNGjIhf/epXccstt8Srr74aJ510UixatCiOPfbYXD5kyJA8krwglX/44Ydx6qmn5uD5Aw88kBcWTQuNAkBDYGFRAAAAaEBSTvN///vfMWrUqJySZaeddoqJEyeWLjY6c+bMaNz4v2PuUj7zhx56KIYPHx7du3ePzTbbLAfUzz777Fr8FABQcxqVlJSU1OD71Qtp1fC08EnK22bKGXx+ixcvjgEDBuTnEyZMiBYtWtR2k4B1jD4bAOoHfTYA9Zl0LgAAAAAAUIQgOgAAAAAAFCGIDgAAAAAARQiiAwAAAABAEYLoAAAAAABQhCA6AAAAAAAUIYgOAAAAAABFCKIDAAAAAEARgugAAAAAAFCEIDoAAAAAABQhiA4AAAAAAEUIogMAAAAAQBGC6AAAAAAAUIQgOgAAAAAAFCGIDgAAAAAARQiiAwAAAABAEYLoAAAAAABQhCA6AAAAAABUdRD9jTfeiIceeigWL16c90tKSj7vqQAAAAAAYN0Ion/wwQfRt2/f2HrrrWO//faLd999Nx8fOnRonH766dXRRgAAAAAAqB9B9OHDh0fTpk1j5syZscEGG5QeHzRoUEycOLGq2wcAAAAAALWm6Wd9wcMPP5zTuHTu3Lnc8a222irefvvtqmwbAAAAAADUr5HoixYtKjcCvZ4niAsAAE8uSURBVODDDz+MZs2aVVW7AAAAAACg/gXR995777j11ltL9xs1ahQrV66MMWPGxNe//vWqbh8AAAAAANSfdC4pWL7PPvvEM888E8uWLYuzzjorXn755TwS/a9//Wv1tBIAAAAAAOrDSPQddtgh/v73v8dee+0VBx54YE7vcvDBB8dzzz0XX/7yl6unlQAAAAAAUB9GoietW7eOc845p+pbAwAAAAAA9TmI/sQTT6yxvHfv3pVpDwAAAAAA1N8gep8+fVY7lhYXLVixYkXlWwUAAAAAAPUxJ/pHH31Ubnvvvfdi4sSJ0aNHj3j44Yerp5UAAAAAAFAfRqKnfOir+uY3vxnrr79+jBgxIqZPn15VbQMAAGpI2Rmnjz32WK22BQAA6vVI9GI6dOgQM2bM+EyvGT16dB7B3rJly2jfvn0MHDhwrc5x1113xbbbbhvNmzePbt26xYMPPliuvKSkJEaNGhUdO3aMFi1aRN++feP111//zJ8JAPg/+mxYt62asrGiFI4AANBQfeYg+gsvvFBu+9vf/pbTuZx44omx0047faZzPf744zFs2LB46qmnYtKkSbF8+fLo169fLFq0qOhrnnzyyTj88MNj6NCh8dxzz+WL+LS99NJLpXXGjBkTV199dYwbNy6mTp0aG264YfTv3z+WLFnyWT8uAKDPBgAAoAFrVJKGgH0GjRs3zguJrvqy3XffPW688cY82uzz+ve//51Ht6UL9d69e1dYZ9CgQfmC/f777y/33imAny7AU7s6deoUp59+epxxxhm5fP78+Xmk/M033xyHHXbYp7ZjwYIFOW1Nel2rVq2iLkqfU4CBui79HT3ooIPy83vuuSePRIW6LP0dLbtYNsXps2HdsaZR59K6AFVFnw1Ag8qJ/uabb/6/9u4F3qqyzhv4/wByMQUvKCiSaN5SEgQF0Rx1wgh9KZzJiDFB8vI6U42JpmIKao1kk4QzkYyamb5joqNiqWBGMr4mRYA0Nq+XNBE0rqkcJATlnPfzrPmcE0d48IDnsM/e5/v9fNbn7LX2Wns/e3P5n/Vbz3qeeG+ovtdeezVJOJaKabLHHntk95kzZ04x9vqmUo+16dOn17dv2bJlxe3gdVKhHjhwYHHslk7I169fXyybFvdyCCeHDh1a6mZAo9WF6dCSzZgxoxhShPenZkNleL9hW9LzgnQAAFq7bQ7R999//2ZpSE1NTXz1q1+N448/Pnr37p3dL51spx5qm0rraXvd83XbcvtsaZzXa665pgk+BQBUPjUbAACA1qRRIXoaq7Sx/vEf/3G7GpLGWU1jpD755JOxo40bN65BT7nUq61nz55RLt7qOzJq22zz9RBofmnYp5p3/+dx+jtqmAxaoKqad2OXhT8udTPKipoNAABAa9Ko5PW73/1uo14sjSO7PSH6l7/85WK81CeeeCL222+/re7bvXv3WL58eYNtaT1tr3u+bts+++zTYJ/cxKcdOnQolnJVBOhtdyp1MyCjfakbAFu1TRODoGZDhUlDtRgTHQAAtq5NNEIas7Qxyx/+8IfYFmlCsXQyniYc/MUvfhEHHHDA+x4zaNCgmDVrVoNtjz32WLE9Sa+RTso33Sf1Uvv1r39dvw8AsG3UbKhcuaBcgA4AAP+jXalvB7/rrrviwQcfjF133bV+/NM0qVjdxG6jRo2KHj16FGOgJhdeeGGceOKJccMNN8Rpp50Wd999d8ybNy9uvvnm+t7waZzWb37zm3HwwQcXJ+hXXXVV7LvvvjF8+PASfloAKF9qNgAAAK3VdoXor776avzkJz+JxYsXx4YNGxo8N2nSpEa/zk033VT8fO8tpD/84Q/j7LPPLh6n92jT5i8d5o877rjiJP7KK6+MK664ojjpnj59eoOJzS699NJYu3ZtnH/++fHmm2/Gxz/+8Zg5c2Z07Nhxez4uALR6aja0rmFd9EIHAIC/qKpN92dvg3TL9ac//ek48MAD47nnnitOhBctWlTc5t2vX7/iFu9yl24lTz3rVq9eHZ07d46WaN26dTF06NDi8Zp+ZxkTHWB7bXwndl1wZ/FwxowZ9b2qKQ/lULMBADUbgFYwJvqmxo0bF5dcckk888wzRS+x++67L5YsWVLcrn3GGWc0TysBAAAAAKAcQvRnn322GPM0adeuXdEjepdddolrr702rr/++uZoIwAAAAAAlEeI/qEPfah+HPR99tknXnrppfrnVq1a1bStAwAAAACAcppY9Nhjj40nn3wyPvrRj8app54aF198cTG0y/333188BwAAAAAArTZEnzRpUrz11lvF42uuuaZ4PG3atDj44IOL5wAAAAAAoNWG6Nddd1184QtfqB/aZerUqc3RLgAAAAAAKL8x0VeuXBmf+tSnomfPnvG1r30tfvvb3zZPywAAAAAAoNxC9AcffDCWLl0aV111VfzmN7+Jfv36xRFHHFH0UF+0aFHztBIAAAAAAMohRE923333OP/882P27NnxyiuvxNlnnx133nlnHHTQQU3fQgAAAAAAKKcQvc4777wT8+bNi1//+tdFL/Ru3bo1XcsAAAAAAKAcQ/THH388zjvvvCI0T73QO3fuHA899FC8+uqrTd9CAAAAAAAokXbbekCPHj3i9ddfLyYXvfnmm2PYsGHRoUOH5mkdAAAAAACUU4h+9dVXxxlnnBG77bZb87QIAAAAAADKNURPw7gAAAAAAEBr8IEmFgUAAAAAgEomRAcAAAAAgAwhOgAAAAAAZAjRAQAAAAAgQ4gOAAAAAAAZQnQAAAAAAMgQogMAAAAAQIYQHQAAAAAAMoToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAANDKTJkyJXr16hUdO3aMgQMHxty5cxt13N133x1VVVUxfPjwZm8jALQUQnQAAABoRaZNmxZjx46NCRMmxIIFC6JPnz4xZMiQWLFixVaPW7RoUVxyySVxwgkn7LC2AkBLIEQHAACAVmTSpElx3nnnxZgxY+Lwww+PqVOnxs477xy33XZb9piNGzfGmWeeGddcc00ceOCBO7S9AFBqQnQAAABoJTZs2BDz58+PwYMH129r06ZNsT5nzpzscddee23svffecc455+yglgJAy9Gu1A0AAAAAdoxVq1YVvcq7devWYHtaf+6557Z4zJNPPhk/+MEPYuHChY1+n/Xr1xdLnerq6g/QagAoLT3RAQAAgC1as2ZNnHXWWXHLLbdE165dG33cxIkTo0uXLvVLz549m7WdANCc9EQHAACAViIF4W3bto3ly5c32J7Wu3fvvtn+L730UjGh6LBhw+q31dTUFD/btWsXzz//fHzkIx/Z7Lhx48YVk5du2hNdkA5AuRKiAwAAQCvRvn376N+/f8yaNSuGDx9eH4qn9S9/+cub7X/YYYfFM88802DblVdeWfRQv/HGG7PBeIcOHYoFACqBEB0AAABakdRDfPTo0XH00UfHgAEDYvLkybF27doYM2ZM8fyoUaOiR48exZAsHTt2jN69ezc4frfddit+vnc7AFQqIToAAAC0IiNGjIiVK1fG+PHjY9myZdG3b9+YOXNm/WSjixcvjjZtTKEGAHWE6AAAANDKpKFbtjR8SzJ79uytHnv77bc3U6sAoGUq6aXlJ554opicZN99942qqqqYPn36Vvc/++yzi/3euxxxxBH1+1x99dWbPZ/GcAMAtp+aDQAAQGtV0hA9jbnWp0+fmDJlSqP2T5OWLF26tH5ZsmRJ7LHHHnHGGWc02C+doG+635NPPtlMnwAAWgc1GwAAgNaqpMO5DB06tFgaq0uXLsVSJ/WCe+ONN+onP6nTrl276N69e5O2FQBaMzUbAACA1qqsZwr5wQ9+EIMHD47999+/wfbf//73xe3mBx54YJx55pnFpChbs379+qiurm6wAABNR80GAACgXJVtiP7HP/4xZsyYEeeee26D7QMHDiwmOUkzi990003x8ssvxwknnBBr1qzJvtbEiRPre8ylpWfPnjvgEwBA66BmAwAAUM7KNkT/0Y9+FLvttlsMHz68wfZ0q3kab/XII4+MIUOGxCOPPBJvvvlm3HPPPdnXGjduXKxevbp+SeO2AgBNQ80GAACgnJV0TPTtVVtbG7fddlucddZZ0b59+63um07aDznkkHjxxRez+3To0KFYAICmpWYDAABQ7sqyJ/p//ud/FifY55xzzvvu+9Zbb8VLL70U++yzzw5pGwDwF2o2AAAA5a6kIXo6WV64cGGxJGks1PS4blKxdMv2qFGjtjg5WRpHtXfv3ps9d8kllxQn7IsWLYqnnnoqTj/99Gjbtm2MHDlyB3wiAKhMajYAAACtVUmHc5k3b16cfPLJ9etjx44tfo4ePbqYaGzp0qX1J+d10vin9913X9x4441bfM1XX321OPn+05/+FHvttVd8/OMfj1/96lfFYwBg+6jZAAAAtFZVtWmwUhqorq6OLl26FCf/nTt3jpZo3bp1xYRsyZp+Z0W03anUTQIoTxvfiV0X3Fk8nDFjRnTq1KnULaLCajYAoGYDUN7Kckx0AAAAAADYEYToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAkCFEBwAAAACADCE6AAAAAABkCNEBAAAAACBDiA4AAAAAABlCdAAAAAAAyBCiAwAAAABAhhAdAAAAAAAyhOgAAAAAAJAhRAcAAAAAgAwhOgAAAAAAZAjRAQAAAAAgQ4gOAAAAAAAZQnQAAAAAAMgQogMAAAAAQIYQHQAAAAAAMoToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAkCFEBwAAAACADCE6AAAAAABkCNEBAAAAACBDiA4AAAAAABlCdAAAAAAAyBCiAwAAAABAhhAdAAAAAABaYoj+xBNPxLBhw2LfffeNqqqqmD59+lb3nz17drHfe5dly5Y12G/KlCnRq1ev6NixYwwcODDmzp3bzJ8EACqbmg0AAEBrVdIQfe3atdGnT5/iBHpbPP/887F06dL6Ze+9965/btq0aTF27NiYMGFCLFiwoHj9IUOGxIoVK5rhEwBA66BmAwAA0Fq1K+WbDx06tFi2VToB32233bb43KRJk+K8886LMWPGFOtTp06Nhx9+OG677ba4/PLLP3CbAaA1UrMBAABorcpyTPS+ffvGPvvsE6ecckr88pe/rN++YcOGmD9/fgwePLh+W5s2bYr1OXPmZF9v/fr1UV1d3WABAD44NRsAAIByV1YhejoJT73U7rvvvmLp2bNnnHTSScUt4MmqVati48aN0a1btwbHpfX3jsG6qYkTJ0aXLl3ql/S6AMD2U7MBAACoFCUdzmVbHXroocVS57jjjouXXnopvvvd78add9653a87bty4YkzWOqlXm5NyANh+ajYAAACVoqxC9C0ZMGBAPPnkk8Xjrl27Rtu2bWP58uUN9knr3bt3z75Ghw4digUAaD5qNgAAAOWorIZz2ZKFCxcWt4wn7du3j/79+8esWbPqn6+pqSnWBw0aVMJWAgBqNgAAAOWopD3R33rrrXjxxRfr119++eXiBHuPPfaID3/4w8Ut26+99lrccccdxfOTJ0+OAw44II444oh4++2349Zbb41f/OIX8bOf/az+NdIt3qNHj46jjz666PGWjlm7dm2MGTOmJJ8RACqBmg0AAEBrVdIQfd68eXHyySfXr9eNcZpOqG+//fZYunRpLF68uP75DRs2xMUXX1ycpO+8885x5JFHxs9//vMGrzFixIhYuXJljB8/vpiYrG/fvjFz5szNJi4DABpPzQYAAKC1qqqtra0tdSNamjRJWZcuXWL16tXRuXPnaInWrVsXQ4cOLR6v6XdWRNudSt0kgPK08Z3YdcH/THQ5Y8aM6NSpU6lbRIXVbABAzQagvJX9mOgAAAAAANBchOgAAAAAAJAhRAcAAAAAgAwhOgAAAAAAZAjRAQAAAAAgQ4gOAAAAAAAZQnQAAAAAAMgQogMAAAAAQIYQHQAAAAAAMoToAAAAAACQIUQHAACAVmbKlCnRq1ev6NixYwwcODDmzp2b3feWW26JE044IXbfffdiGTx48Fb3B4BKI0QHAACAVmTatGkxduzYmDBhQixYsCD69OkTQ4YMiRUrVmxx/9mzZ8fIkSPj8ccfjzlz5kTPnj3jk5/8ZLz22ms7vO0AUApCdAAAAGhFJk2aFOedd16MGTMmDj/88Jg6dWrsvPPOcdttt21x/3//93+Pf/iHf4i+ffvGYYcdFrfeemvU1NTErFmzdnjbAaAUhOgAAADQSmzYsCHmz59fDMlSp02bNsV66mXeGH/+85/jnXfeiT322CO7z/r166O6urrBAgDlSogOAAAArcSqVati48aN0a1btwbb0/qyZcsa9RqXXXZZ7Lvvvg2C+PeaOHFidOnSpX5JQ8AAQLkSogMAAACN8q1vfSvuvvvueOCBB4pJSXPGjRsXq1evrl+WLFmyQ9sJAE2pXZO+GgAAANBide3aNdq2bRvLly9vsD2td+/efavHfuc73ylC9J///Odx5JFHbnXfDh06FAsAVAI90QEAAKCVaN++ffTv37/BpKB1k4QOGjQoe9y3v/3t+MY3vhEzZ86Mo48+ege1FgBaBj3RAQAAoBUZO3ZsjB49ugjDBwwYEJMnT461a9fGmDFjiudHjRoVPXr0KMY1T66//voYP3583HXXXdGrV6/6sdN32WWXYgGASidEBwAAgFZkxIgRsXLlyiIYT4F43759ix7mdZONLl68ONq0+cuN6zfddFNs2LAhPvvZzzZ4nQkTJsTVV1+9w9sPADuaEB0AAABamS9/+cvFsiWzZ89usL5o0aId1CoAaJmMiQ4AAAAAABlCdAAAAAAAyBCiAwAAAABAhhAdAAAAAAAyhOgAAAAAAJAhRAcAAAAAgAwhOgAAAAAAZAjRAQAAAAAgQ4gOAAAAAAAZQnQAAAAAAMgQogMAAAAAQIYQHQAAAAAAMoToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAAFpiiP7EE0/EsGHDYt99942qqqqYPn36Vve///7745RTTom99torOnfuHIMGDYpHH320wT5XX3118VqbLocddlgzfxIAqGxqNgAAAK1VSUP0tWvXRp8+fWLKlCmNPoFPJ+SPPPJIzJ8/P04++eTihP7pp59usN8RRxwRS5curV+efPLJZvoEANA6qNkAAAC0Vu1K+eZDhw4tlsaaPHlyg/XrrrsuHnzwwfjpT38aRx11VP32du3aRffu3Zu0rQDQmqnZAAAAtFZlPSZ6TU1NrFmzJvbYY48G23//+98Xt5sfeOCBceaZZ8bixYu3+jrr16+P6urqBgsA0HTUbAAAAMpVWYfo3/nOd+Ktt96Kz33uc/XbBg4cGLfffnvMnDkzbrrppnj55ZfjhBNOKE7ccyZOnBhdunSpX3r27LmDPgEAtA5qNgAAAOWqbEP0u+66K6655pq45557Yu+9967fnm41P+OMM+LII4+MIUOGFGOxvvnmm8V+OePGjYvVq1fXL0uWLNlBnwIAKp+aDQAAQDkr6Zjo2+vuu++Oc889N+69994YPHjwVvfdbbfd4pBDDokXX3wxu0+HDh2KBQBoWmo2AAAA5a7seqL/+Mc/jjFjxhQ/TzvttPfdP906/tJLL8U+++yzQ9oHAPwPNRsAAIBKUNKe6OlkedPeZmks1IULFxaTjn34wx8ubtl+7bXX4o477qi/HXz06NFx4403FuOoLlu2rNjeqVOnYlzU5JJLLolhw4bF/vvvH3/84x9jwoQJ0bZt2xg5cmSJPiUAlD81GwAAgNaqpD3R582bF0cddVSxJGPHji0ejx8/vlhfunRpLF68uH7/m2++Od5999340pe+VPRSq1suvPDC+n1effXV4uT70EMPLSYv23PPPeNXv/pV7LXXXiX4hABQGdRsAAAAWquq2tra2lI3oqWprq4uesmlCcs6d+4cLdG6deuKCdmSNf3Oimi7U6mbBFCeNr4Tuy64s3g4Y8aMoqc05aMcajYAoGYDUN7Kbkx0AAAAAADYUYToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAkCFEBwAAAACADCE6AAAAAABkCNEBAAAAACBDiA4AAAAAABlCdAAAAAAAyBCiAwAAAABAhhAdAAAAAAAyhOgAAAAAAJAhRAcAAAAAgAwhOgAAAAAAZAjRAQAAAAAgQ4gOAAAAAAAZQnQAAAAAAMgQogMAAAAAQIYQHQAAAAAAMoToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAkCFEBwAAAACADCE6AAAAAABkCNEBAAAAACBDiA4AAAAAABlCdAAAAAAAyBCiAwAAAABAhhAdAAAAAABaYoj+xBNPxLBhw2LfffeNqqqqmD59+vseM3v27OjXr1906NAhDjrooLj99ts322fKlCnRq1ev6NixYwwcODDmzp3bTJ8AAFoHNRsAKsu21uB77703DjvssGL/j33sY/HII4/ssLYCQKsO0deuXRt9+vQpindjvPzyy3HaaafFySefHAsXLoyvfvWrce6558ajjz5av8+0adNi7NixMWHChFiwYEHx+kOGDIkVK1Y04ycBgMqmZgNA5djWGvzUU0/FyJEj45xzzomnn346hg8fXiy/+93vdnjbAaAUqmpra2ujBUi92h544IGiEOdcdtll8fDDDzco1J///OfjzTffjJkzZxbr6Qr6McccE9/73veK9ZqamujZs2d85Stficsvv7xRbamuro4uXbrE6tWro3PnztESrVu3LoYOHVo8futjZ0Rtm7alblL5S/8Sat4tdSug8dq0i6gqdSPKX1XNxtjlmXuLxzNmzIhOnTqVukktnpq9fd54441SN6FipL8r6c8eykX6/6lNGyNpNpXdd9+91E0oe9tag0eMGFFcUH/ooYfqtx177LHRt2/fmDp1aqPeU81undRsyo2a3bR2r6Ca3S7KyJw5c2Lw4MENtqWr5al3W7Jhw4aYP39+jBs3rv759Bc/HZOOzVm/fn2x1Cm3/+Drwh8AaCnU7M2dfvrppW4CQEVIw4Wx/banBqftqef6e+v61oZ3U7MBmF1BNbusLq0sW7YsunXr1mBbWk/FOPXMXrVqVWzcuHGL+6RjcyZOnFhcEa9b0hV4AGD7qdkA0DJtTw3O1XU1G4DWoqx6ojeXdAV+06vq6QS/pRf4NJlLGnbg7bffLnVTKkYa2WjTnhLQ0qXJGtOwGjTd/6tpoWUrx5pdJw2BQ9Nwazjlxq3htEZqNomaTblRs6mIEL179+6xfPnyBtvSevoLnsawbdu2bbFsaZ907NaCqLSUkxScpc9s7F4AWiI1u7LHA2wJ9txzz1I3AaAsde3adZtrcK6uq9k0hpoNVIKyurQyaNCgmDVrVoNtjz32WLE9ad++ffTv37/BPumqZ1qv2wcAaH5qNgC0TNtTg9+vrgNApStpT/S33norXnzxxfr1l19+ORYuXBh77LFHfPjDHy5u/3rttdfijjvuKJ6/4IILitnDL7300vjiF78Yv/jFL+Kee+6Jhx9+uP410u1io0ePjqOPPjoGDBgQkydPLmYRHzNmTEk+IwBUAjUbACrH+9XgUaNGRY8ePYpxzZMLL7wwTjzxxLjhhhvitNNOi7vvvjvmzZsXN998c4k/CQC0ghA9Fd2TTz65fr1uvLRUzG+//fZYunRpLF68uP75Aw44oDj5vuiii+LGG2+M/fbbL2699dZiVvA6I0aMiJUrV8b48eOLSU769u0bM2fO3GwSFACg8dRsAKgc71eDU03fdEzg4447Lu6666648sor44orroiDDz44pk+fHr179y7hpwCAHaeqNs2mSANp0os0e/jq1auLsVsBgJZJzQaA8qBmA1DOympMdAAAAAAA2JGE6AAAAAAAkCFEBwAAAACADCE6AAAAAABkCNEBAAAAACBDiA4AAAAAABlCdAAAAAAAyBCiAwAAAABAhhAdAAAAAAAyhOgAAAAAAJAhRAcAAAAAgAwhOgAAAAAAZAjRAQAAAAAgo13uidastra2+FldXV3qpgDAZnbdddeoqqoqdTNaBDUbgJZMzf4LNRuAcq7ZQvQtWLNmTfGzZ8+epW4KAGxm9erV0blz51I3o0VQswFoydTsv1CzASjnml1VW3c5mHo1NTXxxz/+Ua8BaAKpp0n6RXnJkiVOIKCJqE9/oWZD01GzoempT3+hZkPTUbOh6emJvh3atGkT++23X6mbARUlFXbFHWhqajY0PTUbaA5qNjQ9NRt2HBOLAgAAAABAhhAdAAAAAAAyhOhAs+rQoUNMmDCh+AkAtFxqNgCUBzUbdjwTiwIAAAAAQIae6AAAAAAAkCFEBwAAAACADCE6AAAAAABkCNEBAAAAACBDiA4AAAAAABlCdAAAAAAAyBCiAwAAAABAhhAdAAAAAAAyhOgAAAAAAJAhRAcAAAAAgAwhOgAAAAAAZAjRAQAAAAAgQ4gOAAAAAAAZQnRoRRYtWhRVVVWxcOHCRh9z9tlnx/Dhw7e6z0knnRRf/epXoyW7/fbbY7fddit1MwCgXmuuy9tj9uzZxff15ptvlropALQyanbT13Hn6JQbITq0Ij179oylS5dG7969S90UAGj11OVtCxWOO+644vvq0qVLydoFQOukZje9ESNGxAsvvFDqZkCjtWv8rkA527BhQ7Rv3z66d+9e6qYAQKunLm873xcApaBmb9/39X46depULFAu9ESHFubmm2+OfffdN2pqahps/8xnPhNf/OIXi8cvvfRSsd6tW7fYZZdd4phjjomf//znDfbv1atXfOMb34hRo0ZF586d4/zzz9/sFrSNGzfGOeecEwcccEBRvA499NC48cYbt9iua665Jvbaa6/itS644IKiMOasX78+LrnkkujRo0d86EMfioEDBxa3bjWnSZMmxcc+9rHi/VIvgX/4h3+It956a6vH/PSnPy2+u44dO0bXrl3j9NNPr3/ujTfeKL673XffPXbeeecYOnRo/P73v2/WzwBAy6MuN19d/uUvf1n0OE91NtXbIUOGFPU33f7+n//5n8VnT99PWtJ3telt4NXV1cV3NGPGjAav+cADD8Suu+4af/7zn4v1JUuWxOc+97nidvE99tij+HNKrwVA5VGzt0+qq//7f//v4jtJ58apt/1DDz1UPPenP/0pRo4cWbQn1etU23/84x83OD7V8i9/+cvFHWTpvDrV8+SRRx6JQw45pPh+Tj755M3q75aGc7npppviIx/5SBHCp+/0zjvvbNbPDttCiA4tzBlnnFEUqscff7x+2+uvvx4zZ86MM888s1hPJ6GnnnpqzJo1K55++un41Kc+FcOGDYvFixc3eK3vfOc70adPn2Kfq666arP3Sr9c7LfffnHvvffG//t//y/Gjx8fV1xxRdxzzz0N9kvv8+yzzxbFOxXM+++/v/hFICcV0Dlz5sTdd98d//Vf/1V8ptTGrYXQKaROv8TkliOOOGKr31ubNm3iX/7lX+K///u/40c/+lH84he/iEsvvTS7/8MPP1yE5ul7TN9P+owDBgyofz6dwM+bNy9+8pOfFJ+ltra22Pedd97ZajsAqCzqcvPU5RRCfOITn4jDDz+8aNuTTz5ZfGcplEghxKBBg+K8884rbp1PSwriN5WCiP/1v/5X3HXXXQ22//u//3sx/mw60U81O53Ip1D9//7f/1uE9qnt6bNvLcAAoDyp2dtes9PnSMenGvl//s//KT7Lt771rWjbtm3x/Ntvvx39+/cvzp9/97vfFRcUzjrrrJg7d26D10m1PgXf6XWmTp1aXMT+m7/5m+K7TTX/3HPPjcsvvzy2Jl0Iv/DCC+Piiy8u3isF+2PGjGnw5wklVQu0OJ/5zGdqv/jFL9av/9u//VvtvvvuW7tx48bsMUcccUTtv/7rv9av77///rXDhw9vsM/LL79cm/7ZP/3009nX+dKXvlT7t3/7t/Xro0ePrt1jjz1q165dW7/tpptuqt1ll13q23PiiSfWXnjhhcXjV155pbZt27a1r732WoPX/cQnPlE7bty47Pu++uqrtb///e+zy6JFi2q3xb333lu755571q//8Ic/rO3SpUv9+qBBg2rPPPPMLR77wgsvFN/TL3/5y/ptq1atqu3UqVPtPffcs03tAKD8qctNX5dHjhxZe/zxx2f33/Qz1Hn88ceL7+uNN94o1h944IHic9d9F6tXr67t2LFj7YwZM4r1O++8s/bQQw+trampqX+N9evXF/X80Ucf3ab2A1Ae1Oxtq9mpHrZp06b2+eefr22s0047rfbiiy+uX0+f4aijjmqwT2rv4Ycf3mDbZZdd1qCOv/cc/bjjjqs977zzGhxzxhln1J566qmNbhs0J2OiQwuUrpKn3lff//73o0OHDkWvqs9//vNFr666q+dXX311cTU49c569913Y926dZtdPT/66KPf972mTJkSt912W3Fseo3UM6tv374N9klX4FOPrjqpd1hqQ7q6vP/++zfY95lnnil6kaXbtt57W9qee+6ZbUe6PeyDSLfgTZw4MZ577rniFu/0naSr5ul27k3bXiddDU/f8ZakngLt2rUrbp2rk9qebidLzwHQuqjLTV+XUx1Oves+iNSTcKeddiruGkt/Hvfdd1/RQ33w4MHF87/97W/jxRdfLHqibyq1I93OD0DlUbO3TarHqUf9e9+zTmrPddddV/Swf+2114rPmNrz3nPs1Ft9U+m8edPz6brPvjXpmNTTfVPHH398dpgc2NGE6NACpVue0vAhqbCnMdrSLcjf/e53659PY6Q99thjxS1mBx10UDHG2Gc/+9nNbk1OY6htTbpFLL3WDTfcUBS0dJL5z//8z/HrX/96u9uefiFIt37Nnz+//hawOulWspx0C1n6nDnpF4x0S/iWpLHV0i3df//3fx//9E//VIx5mm4LT2PUpe9kSyG6CUwAaCx1uenrclPU4XTbePqe05AuKSBJP0eMGFFcCK/77OmkPgUo75XGpgWg8qjZ21az368ep8+UQuzJkyfXz3WSxj7f1u8LKoEQHVqgNJlHGj8snfSlHlSpB3S/fv3qn0/jjKUxu+smwkzFdnsmyUqvc9xxxxWTfdXZUs+s1JMrXVmvK7C/+tWviiL+3vFJk6OOOqq4Wr1ixYo44YQTGt2WW2+9tXiPnNTTLCf9kpHGcku/wNT1MHjvWHTvdeSRRxbj06Ux1t7rox/9aNEjIf0ClL6fJI2t9/zzzxdjtwLQuqjLTV+X6+pwblzYFJCndjemx+Epp5xShANp3PVvfvOb9c+lP6Np06bF3nvvXfRQB6DyqdnbVrNTPX711VfjhRde2GJv9PQ500SsX/jCF4r1VN/Tvu93XpzOqdOdYptKn/39jknvN3r06Abv7xyclkKIDi1UOilMvbjSSWFdwapz8MEHFxOSpKvsaYbwNNHJe2cgb4z0OnfccUc8+uijxaziaebr3/zmN8XjTaWrzKn32JVXXln8gjFhwoRiwpO6E+NNpcKb2p5mMk8nz+kXgZUrVxYnyqlAn3baaU1+C1rqQZAmD/vXf/3X4jupm8xka9JnSBOapZm/U++1FJqn2cMvu+yy4ntJvyik2wD/7d/+rehVkCZBSW1M2wFofdTlpq3L48aNK3q0pfDhggsuKELzNHFYGuKla9eu0atXr+Jidvp8KWxIvdm35K/+6q+ie/fuxWdM39Omt46nbakHXard1157bXG7+iuvvFL8WaVJTtM6AJVHzW68E088sailf/u3fxuTJk0qangaii19N2lC0/Q5/+M//iOeeuqp2H333Yt9li9f/r7Bdqrt6TN87WtfKyYVTRfYb7/99q0ek/b93Oc+V3zuNDTbT3/60+LPKg0RBy3B5v9qgRbhr//6r4sTxtT7+e/+7u8aPJcKVypg6cp3Kv5DhgxpcHW9sdJs1+kqfbr1OZ10pt7Wm15Jr5PC5lQ8U3FN+376058uxpHL+eEPf1gU/jSrdrryP3z48OIXig9/+MPRHNI4c+k7uf7666N3795Fr4M0DuvWnHTSScVM6unqeBq3Ln3fm84wnj5DugU8/fKVbs9LtwSmkH1rV/EBqFzqctPW5RQU/OxnPyt66A0YMKCotQ8++GD9UCzpFvl0K3s6SU9Dr7x3rNo66SR/5MiRxeuk4GFTadiYJ554ovic6XtNPdxSkJHGRNczHaByqdnbJs0pkoa+SfU01d10obnubrAU/qfvJ31P6Rw6XbhObXo/qb3pdadPn178XpAupqex1bcmvW4aOiYNtXPEEUcUHdrS95HeF1qCqjS7aKkbAQAAAAAALZGe6AAAAAAAkCFEBwAAAACADCE6AAAAAABkCNEBAAAAACBDiA4AAAAAABlCdAAAAAAAyBCib0FtbW1UV1cXPwGAlkvNBoDyoGYDUM6E6FuwZs2a6NKlS/ETAGi51GwAKA9qNgDlTIgOAAAAAAAZQnQAAAAAAMgQogMAAAAAQIYQHQAAAAAAMoToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAkCFEBwAAAACADCE6AAAAAACUa4j+xBNPxLBhw2LfffeNqqqqmD59+vseM3v27OjXr1906NAhDjrooLj99tt3SFuBzZ100kn1C1DZ1GwAKA9qNgBUWIi+du3a6NOnT0yZMqVR+7/88stx2mmnxcknnxwLFy6Mr371q3HuuefGo48+2uxtBRp6b3AuSIfKpmYDQHlQswFg21TV1tbWRplIV8gfeOCBGD58eHafyy67LB5++OH43e9+V7/t85//fLz55psxc+bMRr1PdXV1dOnSJVavXh2dO3dukrZDa7Sl0Dz1YAEqn5oNAOVBzQaA99cuKsycOXNi8ODBDbYNGTKkuFIO7Di5XudpuyAdaI01+4033ih1EypGTU1NEcZAuUiBYZs2Lf4m4LKx++67l7oJrU5rqdmpj+Hbb79d6mZU3He6fv36UjcDGi0NWZUuLtJ0OnbsWBHfacWF6MuWLYtu3bo12JbW04nWunXrolOnTpsdk/5D3/Q/dSdl8MG837AtgnSgNdbs008/vdRNAKgIfo/c8VpLzU4B+tChQ0vdDICKMmPGjC3WiXKjO0RETJw4sbitrG7p2bNnqZsEAGyBmg0A5UHNBqCSVFxP9O7du8fy5csbbEvr6RbK3FWPcePGxdixYxtcIVfgAaB5tbaancabpWkYzoVyYzgXyl1rq9nJW31HRm2biotMdrw0DV/Nu6VuBTRe+ndfAUOPlFpVzbuxy8IfRyWpuIowaNCgeOSRRxpse+yxx4rtWxvvKC1A091iu7UhXdyCC7TGmm0M36a15557lroJAK1Ga6vZSRGgt92p1M2oEO1L3QBgB6uNytPiu0O89dZbsXDhwmJJXn755eLx4sWL669ujxo1qn7/Cy64IP7whz/EpZdeGs8991x8//vfj3vuuScuuuiikn0GaI1yQbkAHSqXmg0A5UHNBoAKC9HnzZsXRx11VLEk6Xaw9Hj8+PHF+tKlS+sLfXLAAQfEww8/XFwV79OnT9xwww1x6623FjOHAwDNR80GgPKgZgPAtqmqrU0DVLGpNFZbmvhk9erVxRhvwPbbdFgXvdCBpqZmA0B5KIeavW7duhg6dGjxeE2/swznArC9Nr4Tuy64s3g4Y8aM7PwZ5aTixkQHWhbBOQAAAADlrMUP5wIAAAAAAKUiRAcAAAAAgAwhOgAAAAAAZAjRAQAAAAAgQ4gOAAAAAAAZQnQAAAAAAMgQogMAAAAAQIYQHQAAAAAAMoToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAkCFEBwAAAACADCE6AAAAAABkCNEBAAAAACBDiA4AAAAAABlCdAAAAAAAyBCiAwAAAABAhhAdAAAAAAAyhOgAAAAAAJAhRAcAAAAAgAwhOgAAAAAAZAjRAQAAAAAgQ4gOAAAAAAAZQnQAAAAAAMgQogMAAAAAQIYQHQAAAAAAMoToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAkCFEBwAAAACADCE6AAAAAABkCNEBAAAAACBDiA4AAAAAABlCdAAAAAAAyBCiAwAAAABAhhAdAAAAAAAyhOgAAAAAAJAhRAcAAAAAgAwhOgAAAAAAZAjRAQAAAAAgQ4gOAAAAAAAZQnQAAAAAAMgQogMAAAAAQIYQHQAAAAAAMoToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAkCFEBwAAAACADCE6AAAAAABkCNEBAAAAACBDiA4AAAAAABlCdAAAAAAAyBCiAwAAAABAOYfoU6ZMiV69ekXHjh1j4MCBMXfu3K3uP3ny5Dj00EOjU6dO0bNnz7jooovi7bff3mHtBYDWSs0GgPKgZgNABYXo06ZNi7Fjx8aECRNiwYIF0adPnxgyZEisWLFii/vfddddcfnllxf7P/vss/GDH/ygeI0rrrhih7cdAFoTNRsAyoOaDQAVFqJPmjQpzjvvvBgzZkwcfvjhMXXq1Nh5553jtttu2+L+Tz31VBx//PHxd3/3d8VV9U9+8pMxcuTI972qDgB8MGo2AJQHNRsAKihE37BhQ8yfPz8GDx5cv61NmzbF+pw5c7Z4zHHHHVccU1fM//CHP8QjjzwSp5566g5rNwC0Nmo2AJQHNRsAtl27aMFWrVoVGzdujG7dujXYntafe+65LR6Troyn4z7+8Y9HbW1tvPvuu3HBBRds9Taz9evXF0ud6urqJvwUAFD51GwAKA9qNgBUWE/07TF79uy47rrr4vvf/34xttv9998fDz/8cHzjG9/IHjNx4sTo0qVL/ZImSQEAmpeaDQDlQc0GoLVr0T3Ru3btGm3bto3ly5c32J7Wu3fvvsVjrrrqqjjrrLPi3HPPLdY/9rGPxdq1a+P888+Pr3/968Vtau81bty4YlKVTa+QK/AA0HhqNgCUBzUbACqsJ3r79u2jf//+MWvWrPptNTU1xfqgQYO2eMyf//znzQp4+gUhSbedbUmHDh2ic+fODRYAoPHUbAAoD2o2AFRYT/QkXbkePXp0HH300TFgwICYPHlyccU7zSKejBo1Knr06FHcKpYMGzasmGn8qKOOioEDB8aLL75YXDVP2+uKPADQ9NRsACgPajYAVFiIPmLEiFi5cmWMHz8+li1bFn379o2ZM2fWT4KyePHiBlfEr7zyyqiqqip+vvbaa7HXXnsVhf2f/umfSvgpAKDyqdkAUB7UbADYNlW1uXuvWrE0Vlua+GT16tVuOQOAFkzNBoDyUA41e926dTF06NDi8Zp+Z0W03anUTQIoTxvfiV0X3Fk8nDFjRnTq1CnKXYseEx0AAAAAAEpJiA4AAAAAABlCdAAAAAAAyBCiAwAAAABAhhAdAAAAAAAyhOgAAAAAAJAhRAcAAAAAgAwhOgAAAAAAZAjRAQAAAAAgQ4gOAAAAAAAZQnQAAAAAAMgQogMAAAAAQIYQHQAAAAAAMoToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAkCFEBwAAAACADCE6AAAAAABkCNEBAAAAACBDiA4AAAAAABlCdAAAAAAAyBCiAwAAAABAhhAdAAAAAAAyhOgAAAAAAJAhRAcAAAAAgAwhOgAAAAAAZAjRAQAAAAAgQ4gOAAAAAAAZQnQAAAAAAMgQogMAAAAAQIYQHQAAAAAAMoToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAkCFEBwAAAACADCE6AAAAAABkCNEBAAAAACBDiA4AAAAAABlCdAAAAAAAyBCiAwAAAABAhhAdAAAAAAAyhOgAAAAAAJAhRAcAAAAAgAwhOgAAAAAAZAjRAQAAAAAgQ4gOAAAAAAAZQnQAAAAAAMgQogMAAAAAQIYQHQAAAAAAMoToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAkCFEBwAAAACADCE6AAAAAABkCNEBAAAAAKCcQ/QpU6ZEr169omPHjjFw4MCYO3fuVvd/880340tf+lLss88+0aFDhzjkkEPikUce2WHtBYDWSs0GgPKgZgNA47WLFm7atGkxduzYmDp1alHYJ0+eHEOGDInnn38+9t57783237BhQ5xyyinFc//xH/8RPXr0iFdeeSV22223krQfAFoLNRsAyoOaDQDbpqq2trY2WrBU0I855pj43ve+V6zX1NREz5494ytf+Upcfvnlm+2ffgn453/+53juuedip5122q73rK6uji5dusTq1aujc+fOH/gzAEBroGYDQHlQs7ds3bp1MXTo0OLxmn5nRbTdvs8K0OptfCd2XXBn8XDGjBnRqVOnKHctejiXdLV7/vz5MXjw4Pptbdq0KdbnzJmzxWN+8pOfxKBBg4rbzLp16xa9e/eO6667LjZu3Jh9n/Xr1xcFfdMFAGg8NRsAyoOaDQAVFqKvWrWqKMqpSG8qrS9btmyLx/zhD38obi9Lx6Xx2a666qq44YYb4pvf/Gb2fSZOnFhcEa9b0hV4AKDx1GwAKA9qNgBUWIi+PdJtaGmctptvvjn69+8fI0aMiK9//evF7Wc548aNK24pq1uWLFmyQ9sMAK2Rmg0A5UHNBqC1a9ETi3bt2jXatm0by5cvb7A9rXfv3n2Lx6SZwtMYbem4Oh/96EeLK+rptrX27dtvdkyaWTwtAMD2UbMBoDyo2QBQYT3RUyFOV7lnzZrV4Ap4Wk/jsW3J8ccfHy+++GKxX50XXnihKPpbKuwAwAenZgNAeVCzAaDCQvRk7Nixccstt8SPfvSjePbZZ+Pv//7vY+3atTFmzJji+VGjRhW3idVJz7/++utx4YUXFkX94YcfLiY8SROgAADNR80GgPKgZgNABQ3nkqSx1lauXBnjx48vbhXr27dvzJw5s34SlMWLFxcziddJk5U8+uijcdFFF8WRRx4ZPXr0KAr9ZZddVsJPAQCVT80GgPKgZgPAtqmqra2t3cZjKl51dXUxe3ia/KRz586lbg4AkKFmA0B5KIeavW7duhg6dGjxeE2/syLa7lTqJgGUp43vxK4L7iwezpgxIzp16hTlrsUP5wIAAAAAAKUiRAcAAAAAgAwhOgAAAAAAZAjRAQAAAAAgQ4gOAAAAAAAZQnQAAAAAAMgQogMAAAAAQIYQHQAAAAAAMoToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAkCFEBwAAAACAUoToL774Yjz66KOxbt26Yr22trY53w4AAAAAAFp+iP6nP/0pBg8eHIccckiceuqpsXTp0mL7OeecExdffHFzvCUAAAAAAJRHiH7RRRdFu3btYvHixbHzzjvXbx8xYkTMnDmzOd4SAAAAAACaXLumf8mIn/3sZ8UwLvvtt1+D7QcffHC88sorzfGWAAAAAABQHj3R165d26AHep3XX389OnTo0BxvCQAAAAAA5RGin3DCCXHHHXfUr1dVVUVNTU18+9vfjpNPPrk53hIAAAAAAMpjOJcUln/iE5+IefPmxYYNG+LSSy+N//7v/y56ov/yl79sjrcEAAAAAIDy6Ineu3fveOGFF+LjH/94fOYznymGd/mbv/mbePrpp+MjH/lIc7wlAAAAAACUR0/0pEuXLvH1r3+9uV4eAAAAAADKM0R/4okntvr8X/3VXzXH2wIAAAAAQMsP0U866aTNtqXJRets3LixOd4WAAAAAABa/pjob7zxRoNlxYoVMXPmzDjmmGPiZz/7WXO8JQAAAAAAlEdP9DQe+nudcsop0b59+xg7dmzMnz+/Od4WAAAAAABafk/0nG7dusXzzz+/I98SAAAAAABaVk/0//qv/2qwXltbG0uXLo1vfetb0bdv3+Z4SwAAAAAAKI8QPQXlaSLRFJ5v6thjj43bbrutOd4SAAAAAADKI0R/+eWXG6y3adMm9tprr+jYsWNzvB0AAAAAAJRPiL7//vs3x8sCAAAAAEB5huj/8i//0uh9//Ef/7Gp3hYAAAAAAFp+iP7d7363UfulsdKF6AAAAAAAtKoQ/b3joAMAAAAAQLlrU+oGAAAAAABAq5pYNHn11VfjJz/5SSxevDg2bNjQ4LlJkyY119sCAAAAAEDLDtFnzZoVn/70p+PAAw+M5557Lnr37h2LFi2K2tra6NevX3O8JQAAAAAAlMdwLuPGjYtLLrkknnnmmejYsWPcd999sWTJkjjxxBPjjDPOaI63BAAAAACA8gjRn3322Rg1alTxuF27drFu3brYZZdd4tprr43rr7++Od4SAAAAAADKI0T/0Ic+VD8O+j777BMvvfRS/XOrVq1qjrcEAAAAAIDyGBP92GOPjSeffDI++tGPxqmnnhoXX3xxMbTL/fffXzwHAAAAAACtNkSfNGlSvPXWW8Xja665png8bdq0OPjgg4vnAAAAAACg1Ybo1113XXzhC1+oH9pl6tSpzfE2AAAAAABQfmOir1y5Mj71qU9Fz54942tf+1r89re/bY63AQAAAACA8gvRH3zwwVi6dGlcddVV8Zvf/Cb69esXRxxxRNFDfdGiRc3xlgAAAAAAUB4herL77rvH+eefH7Nnz45XXnklzj777LjzzjvjoIMOaq63BAAAAACA8gjR67zzzjsxb968+PWvf130Qu/WrVtzvyUAAAAAALTsEP3xxx+P8847rwjNUy/0zp07x0MPPRSvvvpqc70lAAAAAAA0qXbRDHr06BGvv/56MbnozTffHMOGDYsOHTo0x1sBAAAAAEB5hehXX311nHHGGbHbbrs1x8sDAAAAAED5huhpGBcAAAAAACh3zT6xKAAAAAAAlCshOgAAAAAAZAjRAQAAAAAgQ4gOAAAAAAAZQnQAAAAAAMgQogMAAAAAQIYQHQAAAAAAMoToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAUM4h+pQpU6JXr17RsWPHGDhwYMydO7dRx919991RVVUVw4cPb/Y2AgBqNgCUCzUbACooRJ82bVqMHTs2JkyYEAsWLIg+ffrEkCFDYsWKFVs9btGiRXHJJZfECSecsMPaCgCtmZoNAOVBzQaACgvRJ02aFOedd16MGTMmDj/88Jg6dWrsvPPOcdttt2WP2bhxY5x55plxzTXXxIEHHrhD2wsArZWaDQDlQc0GgAoK0Tds2BDz58+PwYMH129r06ZNsT5nzpzscddee23svffecc455zTqfdavXx/V1dUNFgCg8dRsACgPajYAVFiIvmrVquJqd7du3RpsT+vLli3b4jFPPvlk/OAHP4hbbrml0e8zceLE6NKlS/3Ss2fPD9x2AGhN1GwAKA9qNgBUWIi+rdasWRNnnXVWUdi7du3a6OPGjRsXq1evrl+WLFnSrO0EgNZOzQaA8qBmA0BEu2jBUoFu27ZtLF++vMH2tN69e/fN9n/ppZeKiU6GDRtWv62mpqb42a5du3j++efjIx/5yGbHdejQoVgAgO2jZgNAeVCzAaDCeqK3b98++vfvH7NmzWpQrNP6oEGDNtv/sMMOi2eeeSYWLlxYv3z605+Ok08+uXjs9jEAaB5qNgCUBzUbACqsJ3oyduzYGD16dBx99NExYMCAmDx5cqxdu7aYRTwZNWpU9OjRoxhvrWPHjtG7d+8Gx++2227Fz/duBwCalpoNAOVBzQaACgvRR4wYEStXrozx48cXk5z07ds3Zs6cWT8JyuLFi4uZxAGA0lKzAaA8qNkAsG2qamtra7fxmIpXXV1dzB6eJj/p3LlzqZsDAGSo2QBQHsqhZq9bty6GDh1aPF7T76yItjuVukkA5WnjO7HrgjuLhzNmzIhOnTpFuXNpGQAAAAAAMoToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAkCFEBwAAAACADCE6AAAAAABkCNEBAAAAACBDiA4AAAAAABlCdAAAAAAAyBCiAwAAAABAhhAdAAAAAAAyhOgAAAAAAJAhRAcAAAAAgAwhOgAAAAAAZAjRAQAAAAAgQ4gOAAAAAAAZQnQAAAAAAMgQogMAAAAAQIYQHQAAAAAAMoToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAkCFEBwAAAACADCE6AAAAAABkCNEBAAAAACBDiA4AAAAAABlCdAAAAAAAyBCiAwAAAABAhhAdAAAAAAAyhOgAAAAAAJAhRAcAAAAAgAwhOgAAAAAAZAjRAQAAAAAgQ4gOAAAAAAAZQnQAAAAAAMgQogMAAAAAQIYQHQAAAAAAMoToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAkCFEBwAAAACADCE6AAAAAABkCNEBAAAAACBDiA4AAAAAABlCdAAAAAAAyBCiAwAAAABAhhAdAAAAAAAyhOgAAAAAAJAhRAcAAAAAgAwhOgAAAAAAZAjRAQAAAAAgQ4gOAAAAAAAZQnQAAAAAAMgQogMAAAAAQDmH6FOmTIlevXpFx44dY+DAgTF37tzsvrfcckuccMIJsfvuuxfL4MGDt7o/ANB01GwAKA9qNgBUUIg+bdq0GDt2bEyYMCEWLFgQffr0iSFDhsSKFSu2uP/s2bNj5MiR8fjjj8ecOXOiZ8+e8clPfjJee+21Hd52AGhN1GwAKA9qNgBsm6ra2traaMHSFfFjjjkmvve97xXrNTU1RcH+yle+Epdffvn7Hr9x48biSnk6ftSoUY16z+rq6ujSpUusXr06Onfu/IE/AwC0Bmo2AJQHNXvL1q1bF0OHDi0er+l3VkTbnUrdJIDytPGd2HXBncXDGTNmRKdOnaLcteie6Bs2bIj58+cXt4rVadOmTbGern43xp///Od45513Yo899sjus379+qKgb7oAAI2nZgNAeVCzAaDCQvRVq1YVV7i7devWYHtaX7ZsWaNe47LLLot99923wS8I7zVx4sTiinjdkq7AAwCNp2YDQHlQswGgwkL0D+pb3/pW3H333fHAAw8Uk6XkjBs3rrilrG5ZsmTJDm0nALR2ajYAlAc1G4DWqF20YF27do22bdvG8uXLG2xP6927d9/qsd/5zneK4v7zn/88jjzyyK3u26FDh2IBALaPmg0A5UHNBoAK64nevn376N+/f8yaNat+W5rwJK0PGjQoe9y3v/3t+MY3vhEzZ86Mo48+ege1FgBaLzUbAMqDmg0AFdYTPRk7dmyMHj26KNIDBgyIyZMnx9q1a2PMmDHF82km8B49ehTjrSXXX399jB8/Pu66667o1atX/Zhuu+yyS7EAAM1DzQaA8qBmA0CFhegjRoyIlStXFgU7Feq+ffsWV77rJkFZvHhxMZN4nZtuuqmYbfyzn/1sg9eZMGFCXH311Tu8/QDQWqjZAFAe1GwA2DZVtbW1tdt4TMWrrq4uZg9Pk5907ty51M0BADLUbAAoD+VQs9etWxdDhw4tHq/pd1ZE251K3SSA8rTxndh1wZ3FwxkzZkSnTp2i3LXoMdEBAAAAAKCUhOgAAAAAAJAhRAcAAAAAgAwhOgAAAAAAZAjRAQAAAAAgQ4gOAAAAAAAZQnQAAAAAAMgQogMAAAAAQIYQHQAAAAAAMoToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAkCFEBwAAAACADCE6AAAAAABkCNEBAAAAACBDiA4AAAAAABlCdAAAAAAAyBCiAwAAAABAhhAdAAAAAAAyhOgAAAAAAJAhRAcAAAAAgAwhOgAAAAAAZAjRAQAAAAAgQ4gOAAAAAAAZQnQAAAAAAMgQogMAAAAAQIYQHQAAAAAAMoToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAkCFEBwAAAACADCE6AAAAAABkCNEBAAAAACBDiA4AAAAAABlCdAAAAAAAyBCiAwAAAABAhhAdAAAAAAAyhOgAAAAAAJAhRAcAAAAAgAwhOgAAAAAAZAjRAQAAAAAgQ4gOAAAAAAAZQnQAAAAAAMgQogMAAAAAQIYQHQAAAAAAMoToAAAAAACQIUQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAkCFEBwAAAACADCE6AAAAAABkCNEBAAAAACBDiA4AAAAAABlCdAAAAAAAyGiXewIAAGg9TjrppPrHs2fPLmlbAACgJSmLnuhTpkyJXr16RceOHWPgwIExd+7cre5/7733xmGHHVbs/7GPfSweeeSRHdZWAGjN1Gwo/wB9S+tA5VGzAaCCQvRp06bF2LFjY8KECbFgwYLo06dPDBkyJFasWLHF/Z966qkYOXJknHPOOfH000/H8OHDi+V3v/vdDm87ALQmajYAlAc1GwC2TVVtbW1ttGDpivgxxxwT3/ve94r1mpqa6NmzZ3zlK1+Jyy+/fLP9R4wYEWvXro2HHnqoftuxxx4bffv2jalTpzbqPaurq6NLly6xevXq6Ny5c7Rkb7zxRqmbUDHS3630Zw/lIv3/1KZNi78WWjZ23333Ujeh7KnZUJ621uvcsC5QmdTsLVu3bl0MHTq0ePzWx86I2jZtS92k8pcSp5p3S90KaLw27SKqSt2I8ldVszF2eebe4vGMGTOiU6dOUe5a9JjoGzZsiPnz58e4cePqt6XAaPDgwTFnzpwtHpO2pyvqm0pX1KdPn559n/Xr1xdLnXIKUk8//fRSNwGgIgiKPhg1G8rT+w3bkp73/yNUFjW7cerCHwBIWnQXxlWrVsXGjRujW7duDban9WXLlm3xmLR9W/ZPJk6cWFwRr1vSFXgAoPHUbAAoD2o2AFRYT/QdJV2B3/SqerpCXi4F/oEHHih1EyqG4VwoN4ZzoTUq55oNAK1JOdbsNGlqGnbg7bffLnVTKkYaQXjTOxKgpevQoUNUVRnPpSn/X+3YsWNUghYdonft2jXatm0by5cvb7A9rXfv3n2Lx6Tt27J/3T+QtJQjY/g2rT333LPUTQAoS2o2lKc0VIsx0aF1UbPzUnCWxu2thLF7AWhaLboLY/v27aN///4xa9asBr2F0/qgQYO2eEzavun+yWOPPZbdHwD44NRsKF+5oFyADpVJzQaACuuJnqTbv0aPHh1HH310DBgwICZPnlzMCj5mzJji+VGjRkWPHj2K8daSCy+8ME488cS44YYb4rTTTou777475s2bFzfffHOJPwkAVDY1GwDKg5oNABUWoo8YMSJWrlwZ48ePLyYt6du3b8ycObN+UpPFixc3GBP4uOOOi7vuuiuuvPLKuOKKK+Lggw8uZgzv3bt3CT8FAFQ+NRsqZ1gXvdChsqnZALBtqmrTLA80kCY8SbOHr169upi4DwBomdRsACgPajYA5axFj4kOAAAAAAClJEQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAkCFEBwAAAACADCE6AAAAAABkCNEBAAAAACBDiA4AAAAAABntck+0ZrW1tcXP6urqUjcFADaz6667RlVVVamb0SKo2QC0ZGr2X6jZAJRzzRaib8GaNWuKnz179ix1UwBgM6tXr47OnTuXuhktgpoNQEumZv+Fmg1AOdfsqtq6y8HUq6mpiT/+8Y96DUATSD1N0i/KS5YscQIBTUR9+gs1G5qOmg1NT336CzUbmo6aDU1PT/Tt0KZNm9hvv/1K3QyoKKmwK+5AU1Ozoemp2UBzULOh6anZsOOYWBQAAAAAADKE6AAAAAAAkCFEB5pVhw4dYsKECcVPAKDlUrMBoDyo2bDjmVgUAAAAAAAy9EQHAAAAAIAMIToAAAAAAGQI0QEAAAAAIEOIDgAAAAAAGUJ0AAAAAADIEKIDAAAAAECGEB0AAAAAADKE6AAAAAAAEFv2/wGbKi55iow5wgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1500x2000 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(\n",
    "    y=\"value\",\n",
    "    data=df.melt(value_vars=df.columns), # type: ignore\n",
    "    col=\"variable\",\n",
    "    kind=\"box\",\n",
    "    col_wrap=3,\n",
    "    sharey=False,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "398ea8d1",
   "metadata": {},
   "source": [
    "Большое количество выбросов в значениях давления, значения роста и веса также требуют некоторой корректировки"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa31c55b",
   "metadata": {},
   "source": [
    "#### Визуализация зависимости значения целевого признака от значения каждого из входных признаков"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "619f34c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x3177702d0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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77Xc7Qx7LF198oeeee07f/OY39eSTT2rBggU6//zzVVdXp6uuuirmc6677jr9+te/7pJlAHq0lSv9gUEfflh66SX/ADEWOwg76CDphBP8GudDh8Z7TgG0E200ALTCeovHGtyz5b6QTWf7Sy2DcvtpNcw7woLtSK/ylvXKCwq2HZS3HMjTftKhIaHQRgMA0D0SqlidXaZmddz+9re/uTPm48eP1/Lly92laUGN/6WXXurqxbU8gw6gAxYs8INz6+HyxhtbX4IckZsrHXaYZL1j7Gb1NgEkNdpoAEnH9nOiQ/LIv23Qz5al7FqG5HazQdQ72qvc6lrHGtSztV7lBOUIQBsNAEACh+h9+vRxDfjqFr0w7PcBAwbEfM7AgQNdDbfoS8522203NyK5XdaWaTuILWRlZbkbgA764APp3nv9OufvvRc8nQ1MdOSR0skn++VaWusNBSDUaKMB9Cg2iGesnuXRYblNs2JF7F7la9d27O9mZzfvVR5dqzw/v31Bud0ovdIj0EYDANDDQnRrqO0M+OzZs5tqudkZcvv9Rz/6UcznHHDAAbr77rvddKlf7iR++umnbqcgVsMPoAOsZudrr/k9zh9/3Fay1ntJHXOMX6Zl8mTb247nnALoIrTRAJI6LG/Zu9zujygv37pHud2sVrlN3xEWbMYqvzJwYOzg24LyWCE5PcpBGw0AQM8s52KXh9kAKHvvvbf23Xdf3XLLLaqoqNBZZ53lHj/jjDM0ePBgV4/N/OAHP3AjkP/kJz9xI49/9tlnuvbaa/XjH/+4OxcDSHx28PjCC9J990lPPCEtWxY87fDhfk/zU0/1a53bgR6ApEMbDSBhWQ/ylmG53SJhuf1cvnzroNx+X7euY38zJ6d5j/LoXuVW5q4tQXnkJ0E5toE2GgCA+OvW9Gvq1Klau3atrrzySncp2Z577qmZM2c2DZKyZMmSpjPlxmqwzZo1Sz/72c80ZswYt2NgOwI2qjiAdrIDy1mz/B7nTz3V+kHjbrtJxx/vB+d7783lwkAPQBsNIPRsIM9YZVgiY7aUljYPySNBudUqDxoQfVusJnmsXuW2bWy5f0SNcnQR2mgAAOIvxfOsdkPPYQOiFBUVqbS0VIWFhd09O0B82cBXjz4qPfSQ9PTTtkIET7vXXtIJJ0hf/aq0++7xnEsAPRRtNICYonuTRwfmdhhjvc7tCrpYA3uuX9+xv2c9x1v2KLefdjVey17lVmO6ZUAe+TedDpBEaKMBAD0ddRiAZLdhg/Tgg35w/txzUnV17OnsIHDiRMlqK552mn+gCAAAEA8WiLcMyyM3e2zTpq3Lr9htyZKO9Sq3nuDRvcojYbndbMyX6J7iFoYHBeVRAzUCAAAgeRGiA8loxQq/vrkF56++GnxwaQOBHnqoH5xbqZa+feM9pwAAoCeG5S3rlUdKsyxdunX5Ffu5cWPH/l5eXuzyK1arPDt7y3QWmgeVXmH8FwAAgB6PPUIgWXz+uTRjhvTII9Kbb/oHqbHk50tHHimdfLIfnhcUxHtOAQBAsrO65C2D8khYblfJxSq/YgG6lWdpLwvABw+OPbBndK/ySFAeKyy3GwAAABCAEB1IZO+9J917r1/n/MMPg6crKZGOPtov03LMMc17XgEAAHSUhd6xSrBUVfmlVloG5Xaz0iwdYR0BonuTR4JyK0FnV9dFtBaUM6AnAAAAOoAQHUgk1rv8tde2BOd2UBpk4EDp+OP94Pzww6nZCQAAOi5SbiV6cE+72eCdkZC8Za/yhob2/x2rPz5kSOyBPfv02RKCW4mVWDXKCcoBAADQBQjRgbCzA1AbEPT++6XHH/frnQexg0wLzr/2NX+QUA4iAQBAR8Ly6FIsmzdLixbFrlVeWtqxv2Pl5IJ6lVsgHisoj/7JPg4AAADiiBAdCCM7cJ050w/On3rK7+UVZPRo6YQT/OB87Nh4ziUAAEhULcuv2L7HypX+GCstg/Jlyzreq3zo0NgDe/bu7QfhFpQHDehJUA4AAICQIEQHwsJ6eVmJlgcekJ5+2v89Fjug3Gcff1DQr35V2nHHeM8pAABIlDJwLXuWl5dLCxY0L8ES+bc91hFFRVuH5HYbNswPw62kXFCPcgvaAQAAgJAjRAe6k/Uwt9D8wQelF17wD3BjsV5aBxwgnXyyH5wPGhTvOQUAAGHV2Lh1r3Ir/zZv3tYlWJYv96dvLwvCY/Uqt5+9ejUvvdIyLCcoBwAAQIIjRAfizQ5ebWDQhx+WXnkl+PLonBzpsMOkU07xb3aACgAAeq76+uZheVmZ9Nln/i16UE+7BV3Rti3FxbHLr1iAnpvbPCCnRzkAAAB6CEJ0IB7ssukZM6SHHpLmzg2errBQmjxZOvVU6bjjpLy8eM4lAAAIAyvBEim/Yj+tJvn8+f7+RHSvcuttbiVb2st6jVuplejSK5HQvE+f5r3IqVEOAAAAEKIDXcIOaN9/3w/OH3lE+vjj4Gn79pWmTPGD86OO8g9SAQBAz6hXHgnLS0ulTz/1w/KWvcorKjr2N0pKYvcqHz7c71Ueq045PcoBAACArRCiA53F6ovOmeOXarEBQhctCp7WLok+4QS/vvmBB/p1RgEAQHKG5ZEe5XZbvNgPyluWYOlor3ILv6N7lUfCcht4vF+/2OVXCMoBAACA+Iboy+zyUklDhgzZ3pcCErM26fPPS/fd5wfnq1cHT7vLLtKJJ0pTp0rjxnFJNAAAyTi4pwXlmzb5QbkN7BldgsVulZUde/3evbfuUW5Buf0eqVVOUA4AAACEJ0RvbGzUb3/7W/3hD3/Q5i8HLSooKNCFF16oyy67TKnstCOZVVdLM2f6wfmTT/oHykEsLD/pJD84txAdAAAkNhsQ3MLyqir/qjMLyq0My+efb+lZvnJlx17bAvARI5r3KregfOed/fJvLUuvcEIeAAAACG+IbkH5nXfeqeuvv14HHHCAu+/ll1/Wr371K1VXV+uaa67p7PkEuldZmd/T/IEHpGeeCa5NaieQ9ttPOuUUv1SLXV4NAAAS82ozC8s3bJA++cTvWR5dr9wCdAvSO8IC8eigfNQoPyi3f+fkNA/L6ZwCAAAAJGaI/q9//Ut///vfdYLVdP7SmDFjNHjwYJ1//vmE6EgO69ZJDz7oB+cvvOAfSMdiB7kHH+wH56ed5h8YAwCAxGCDe9pVZhaOR8LySL1yu7VWqq01tn8Q3avcgnK7Ks3C8j59mgfljI0CAAAAJF+IvmHDBu26665b3W/32WNAwrIa/1amxYJzGyTU6pvGYrVHjzzSD83tZFJhYbznFAAAtJUN2Glh+fr1flBuNyvBYmF5pFe5BekdYYN3Rvcq32kn2yn2f4/uVU5QDgAAAPSsEH3s2LG67bbb9Kc//anZ/XafPQYkFDuIvvde6aGHpLffDp6uuFg69li/TMvkyf6BMQAACFdYbmG41Sf/6KMtvcptcE/rVb5mTcdeNytrS6/ySJ1yC8qtZ7kN+BnpUZ7eoV1rAAAAACHXoT39G264QVOmTNGzzz6riRMnuvvmzJmjpUuX6kkbaBEI+wH2u+9uCc7tADvIgAHS8cf7wflhh3FwDABAWAb3tLJrH3+8pVd5ZHDPxYulmpqOva61+5Fe5ZEBPSO9yi1Ij4TlAAAAAHqUDiWChxxyiD799FNNnz5d8+bNc/edcsoprh76oEGDOnsege1nZVlefdUPzh9+WFq6NHha62l24ol+cG4niRjQCwCA7mFhuPUijw7LI73K167t2GtmZ/ttfaT0it2sR7mF5b16+SG53VJSOntpAAAAACSoDnertbCcAUQRalb79Pnn/eD8scdav4R799394HzqVBsllwNnAADiydpoK78SPbCnheXWqzxoYO9tGThwS4/ySFC+225+gG69yulRDgAAAKCzQ/T3339fo0ePVmpqqvt3a8ZYCAl0h8pKaeZM6f77JSstVFoaPO348dKpp0pf+5o0alQ85xIAgJ7HwnALx61XuV3JGAnLrVe5lWbpCBvo20Jxa8et9Eqk/IqF5darnDJsAAAAADpBm48s9txzT61atUr9+vVz/05JSZFntaVbsPsbrE4lEC8WlD/6qB+cP/OMVFUVe7q0NOmAA6TTTvPDc0oPAQDQ+SwQt17ldrOwPLpXuV0l1hGDB28Z0DMSlNtVZBagW51yAAAAAAhDiL5w4UL17du36d9At1q9WnrwQemBB6QXXww+KLfLtW1AUAvOTzpJ6t073nMKAEDysXbXepK37FVuA3tu2NDxXuXRQXmk/IrdioootQYAAAAg/CH68OHDY/4biBvrwXbffX5w/vrrUowrIZz8fGnyZD84P+44/3cAANB+Nnjnhx/6tcotLI8M7LlkScd6lVsQbr3KrfyK1Sm3HuWRXuW2f8lg3gAAAAASOUR/1MpltNEJJ5zQ0fkBmrODdhsY9KGHpPfeC56upESaMsWvb37kkX4PdAAA0LFe5RaWW6/yjRs79pp5eX6P8signpGg3G72GAAAAAAkY4h+kpXCiNKyJrr9HkFNdHSYfafefluaMUN6+GH/0vAgVtP8xBP94PzAAxk8DACAbfUqj9QqjwTl1s5ar/L6+va/nvUaHzKkea9yK71iQfnQoZRfAQAAAJA02pw6NjY2Nv372Wef1SWXXKJrr71WEydOdPfNmTNHl19+ubsPaBc76fLyy36P80cekZYvD57WDtTthM5Xvyrtuy8H6AAARKut9cPxyKCe0b3KN23q2GsWFGzpUW61yiNBuYXm2dmdvQQAAAAAEDod6rr705/+VH/96191oPX+/dLkyZOVm5urc889V59YCQ6gNTU1djbGr3H++OPS+vXB037lK9LJJ0tTp/oH7gTnAICeftVWpFZ5pARLdK3yjlwRaL3Khw3bMqhnpFf56NFS//60vQAAAAB6tA6F6J9//rmKi4u3ur+oqEiLFi3qjPlCMqqokJ54wg/OZ82SystjT2cH6tbL/NRT/cFBR46M95wCABCOE84WjltQHhnY08q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",
      "text/plain": [
       "<Figure size 1500x2000 with 11 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lmplot(\n",
    "    x=\"value\",\n",
    "    y=\"cardio\",\n",
    "    data=df.melt(id_vars=\"cardio\", value_vars=df.columns), # type: ignore\n",
    "    col=\"variable\",\n",
    "    col_wrap=3,\n",
    "    facet_kws={\"sharex\": False, \"sharey\": False},\n",
    "    line_kws={\"color\": \"red\"},\n",
    "    scatter_kws={\"alpha\": 0.2},\n",
    ")\n",
    "ax.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b239e98c",
   "metadata": {},
   "source": [
    "Из графиков видно, что риск ССЗ возрастает с увеличением возраста, веса, давления и холестерина."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bbfe93b6",
   "metadata": {},
   "source": [
    "#### Определение корреляции между признаками"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "faa82c28",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(\n",
    "    df.corr(),\n",
    "    annot=True,\n",
    "    cmap=\"Blues\",\n",
    "    fmt=\".2f\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3b2cc96",
   "metadata": {},
   "source": [
    "Существует небольшая прямая корреляция между целевым признаком, возрастом, весом и холестерином."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf47804c",
   "metadata": {},
   "source": [
    "#### Определение выбросов через расчет межквартильного размаха"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e6176eea",
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_iqr_boundaries(series):\n",
    "    q25 = series.quantile(0.25)\n",
    "    q75 = series.quantile(0.75)\n",
    "    iqr = q75 - q25\n",
    "    boundaries = (q25 - 1.5 * iqr, q75 + 1.5 * iqr)\n",
    "    return boundaries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2ccc3d40",
   "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>ap_hi</th>\n",
       "      <th>ap_lo</th>\n",
       "      <th>height</th>\n",
       "      <th>weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>90.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>142.5</td>\n",
       "      <td>39.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>170.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>186.5</td>\n",
       "      <td>107.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ap_hi  ap_lo  height  weight\n",
       "0   90.0   65.0   142.5    39.5\n",
       "1  170.0  105.0   186.5   107.5"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boundaries_columns = [\"ap_hi\", \"ap_lo\", \"height\", \"weight\"]\n",
    "boundaries = pd.DataFrame(calculate_iqr_boundaries(df[boundaries_columns]))\n",
    "boundaries"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad4f3d21",
   "metadata": {},
   "source": [
    "#### Удаление выбросов из данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b4c65c35",
   "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>age</th>\n",
       "      <th>gender</th>\n",
       "      <th>height</th>\n",
       "      <th>weight</th>\n",
       "      <th>ap_hi</th>\n",
       "      <th>ap_lo</th>\n",
       "      <th>cholesterol</th>\n",
       "      <th>gluc</th>\n",
       "      <th>smoke</th>\n",
       "      <th>alco</th>\n",
       "      <th>active</th>\n",
       "      <th>cardio</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id</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>50.358668</td>\n",
       "      <td>2</td>\n",
       "      <td>168.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>110</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>55.382762</td>\n",
       "      <td>1</td>\n",
       "      <td>156.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>140</td>\n",
       "      <td>90</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>51.629066</td>\n",
       "      <td>1</td>\n",
       "      <td>165.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>130</td>\n",
       "      <td>70</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>48.250465</td>\n",
       "      <td>2</td>\n",
       "      <td>169.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>150</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>47.842515</td>\n",
       "      <td>1</td>\n",
       "      <td>156.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>100</td>\n",
       "      <td>65</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99993</th>\n",
       "      <td>52.677691</td>\n",
       "      <td>2</td>\n",
       "      <td>168.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>120</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99995</th>\n",
       "      <td>61.879860</td>\n",
       "      <td>1</td>\n",
       "      <td>158.0</td>\n",
       "      <td>107.5</td>\n",
       "      <td>140</td>\n",
       "      <td>90</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99996</th>\n",
       "      <td>52.201292</td>\n",
       "      <td>2</td>\n",
       "      <td>183.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>170</td>\n",
       "      <td>90</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99998</th>\n",
       "      <td>61.414412</td>\n",
       "      <td>1</td>\n",
       "      <td>163.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>135</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99999</th>\n",
       "      <td>56.236995</td>\n",
       "      <td>1</td>\n",
       "      <td>170.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>120</td>\n",
       "      <td>80</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>70000 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             age  gender  height  weight  ap_hi  ap_lo  cholesterol  gluc  \\\n",
       "id                                                                          \n",
       "0      50.358668       2   168.0    62.0    110     80            1     1   \n",
       "1      55.382762       1   156.0    85.0    140     90            3     1   \n",
       "2      51.629066       1   165.0    64.0    130     70            3     1   \n",
       "3      48.250465       2   169.0    82.0    150    100            1     1   \n",
       "4      47.842515       1   156.0    56.0    100     65            1     1   \n",
       "...          ...     ...     ...     ...    ...    ...          ...   ...   \n",
       "99993  52.677691       2   168.0    76.0    120     80            1     1   \n",
       "99995  61.879860       1   158.0   107.5    140     90            2     2   \n",
       "99996  52.201292       2   183.0   105.0    170     90            3     1   \n",
       "99998  61.414412       1   163.0    72.0    135     80            1     2   \n",
       "99999  56.236995       1   170.0    72.0    120     80            2     1   \n",
       "\n",
       "       smoke  alco  active  cardio  \n",
       "id                                  \n",
       "0          0     0       1       0  \n",
       "1          0     0       1       1  \n",
       "2          0     0       0       1  \n",
       "3          0     0       1       1  \n",
       "4          0     0       0       0  \n",
       "...      ...   ...     ...     ...  \n",
       "99993      1     0       1       0  \n",
       "99995      0     0       1       1  \n",
       "99996      0     1       0       1  \n",
       "99998      0     0       0       1  \n",
       "99999      0     0       1       0  \n",
       "\n",
       "[70000 rows x 12 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for column in boundaries_columns:\n",
    "    df.loc[df[column] > boundaries[column][1], column] = boundaries[column][1]\n",
    "    df.loc[df[column] < boundaries[column][0], column] = boundaries[column][0]\n",
    "df    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "86b8832e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x331fc8610>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x2000 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(\n",
    "    y=\"value\",\n",
    "    data=df.melt(value_vars=df.columns), # type: ignore\n",
    "    col=\"variable\",\n",
    "    kind=\"box\",\n",
    "    col_wrap=3,\n",
    "    sharey=False,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4dd8b2a3",
   "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>70000.0</td>\n",
       "      <td>53.304309</td>\n",
       "      <td>6.755152</td>\n",
       "      <td>29.564122</td>\n",
       "      <td>48.36272</td>\n",
       "      <td>53.945351</td>\n",
       "      <td>58.391742</td>\n",
       "      <td>64.924433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gender</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>1.349571</td>\n",
       "      <td>0.476838</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>height</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>164.407179</td>\n",
       "      <td>7.825729</td>\n",
       "      <td>142.500000</td>\n",
       "      <td>159.00000</td>\n",
       "      <td>165.000000</td>\n",
       "      <td>170.000000</td>\n",
       "      <td>186.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weight</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>73.925678</td>\n",
       "      <td>13.442403</td>\n",
       "      <td>39.500000</td>\n",
       "      <td>65.00000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>107.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ap_hi</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>126.712329</td>\n",
       "      <td>16.385978</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>120.00000</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>140.000000</td>\n",
       "      <td>170.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ap_lo</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>81.779500</td>\n",
       "      <td>9.062702</td>\n",
       "      <td>65.000000</td>\n",
       "      <td>80.00000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>105.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cholesterol</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>1.366871</td>\n",
       "      <td>0.680250</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gluc</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>1.226457</td>\n",
       "      <td>0.572270</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>smoke</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>0.088129</td>\n",
       "      <td>0.283484</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alco</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>0.053771</td>\n",
       "      <td>0.225568</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>active</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>0.803729</td>\n",
       "      <td>0.397179</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cardio</th>\n",
       "      <td>70000.0</td>\n",
       "      <td>0.499700</td>\n",
       "      <td>0.500003</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               count        mean        std         min        25%  \\\n",
       "age          70000.0   53.304309   6.755152   29.564122   48.36272   \n",
       "gender       70000.0    1.349571   0.476838    1.000000    1.00000   \n",
       "height       70000.0  164.407179   7.825729  142.500000  159.00000   \n",
       "weight       70000.0   73.925678  13.442403   39.500000   65.00000   \n",
       "ap_hi        70000.0  126.712329  16.385978   90.000000  120.00000   \n",
       "ap_lo        70000.0   81.779500   9.062702   65.000000   80.00000   \n",
       "cholesterol  70000.0    1.366871   0.680250    1.000000    1.00000   \n",
       "gluc         70000.0    1.226457   0.572270    1.000000    1.00000   \n",
       "smoke        70000.0    0.088129   0.283484    0.000000    0.00000   \n",
       "alco         70000.0    0.053771   0.225568    0.000000    0.00000   \n",
       "active       70000.0    0.803729   0.397179    0.000000    1.00000   \n",
       "cardio       70000.0    0.499700   0.500003    0.000000    0.00000   \n",
       "\n",
       "                    50%         75%         max  \n",
       "age           53.945351   58.391742   64.924433  \n",
       "gender         1.000000    2.000000    2.000000  \n",
       "height       165.000000  170.000000  186.500000  \n",
       "weight        72.000000   82.000000  107.500000  \n",
       "ap_hi        120.000000  140.000000  170.000000  \n",
       "ap_lo         80.000000   90.000000  105.000000  \n",
       "cholesterol    1.000000    2.000000    3.000000  \n",
       "gluc           1.000000    1.000000    3.000000  \n",
       "smoke          0.000000    0.000000    1.000000  \n",
       "alco           0.000000    0.000000    1.000000  \n",
       "active         1.000000    1.000000    1.000000  \n",
       "cardio         0.000000    1.000000    1.000000  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e65e4b71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x336a206d0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1500x2000 with 11 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lmplot(\n",
    "    x=\"value\",\n",
    "    y=\"cardio\",\n",
    "    data=df.melt(id_vars=\"cardio\", value_vars=df.columns),  # type: ignore\n",
    "    col=\"variable\",\n",
    "    col_wrap=3,\n",
    "    facet_kws={\"sharex\": False, \"sharey\": False},\n",
    "    line_kws={\"color\": \"red\"},\n",
    "    scatter_kws={\"alpha\": 0.2},\n",
    ")\n",
    "ax.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "348274c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(\"data/cardio_cleared.csv\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv (3.11.12)",
   "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": "3.11.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}