Analise_Exploratoria.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1- Qual é a relação entre a duração do sono e a qualidade do sono?\n",
    "\n",
    "2- Como o nível de atividade física está associado ao sono?\n",
    "\n",
    "3- Existe uma diferença na qualidade do sono entre diferentes categorias de IMC?\n",
    "\n",
    "4- Quais são os fatores que mais influenciam o nível de estresse?\n",
    "\n",
    "5- Qual é o perfil de saúde cardiovascular das pessoas com distúrbios do sono?\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('./Sleep_health_and_lifestyle_dataset.csv')\n",
    "pd.options.display.float_format = '{:.2f}'.format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set_theme(\n",
    "    context='talk',\n",
    "    style='ticks',\n",
    "    font_scale=.8,\n",
    "    rc={\n",
    "        'figure.figsize': (12,8)\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "def display_side_by_side(dataframes:list,titles:list):\n",
    "    html_str=''\n",
    "    for df,title in zip(dataframes, titles):\n",
    "        html_str+=f'<span>{title}:</span>'\n",
    "        html_str+=df.to_html().replace('table','table style=\"display:inline\"')\n",
    "        html_str+=\"&nbsp\"*10\n",
    "    display(HTML(html_str))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.columns = ['ID', 'Gênero', 'Idade', 'Ocupação', 'Duração do sono', 'Qualidade do sono',\n",
    "                'Nível de atividade física', 'Nível de estresse', 'Categoria IMC',\n",
    "                'Pressão arterial', 'Frequência cardíaca', 'Passos diários', 'Transtorno do sono']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Gênero'] = df['Gênero'].astype('category')\n",
    "df['Ocupação'] = df['Ocupação'].astype('category')\n",
    "df['Categoria IMC'] = df['Categoria IMC'].astype('category')\n",
    "df['Transtorno do sono'] = df['Transtorno do sono'].astype('category')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "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>ID</th>\n",
       "      <th>Gênero</th>\n",
       "      <th>Idade</th>\n",
       "      <th>Ocupação</th>\n",
       "      <th>Duração do sono</th>\n",
       "      <th>Qualidade do sono</th>\n",
       "      <th>Nível de atividade física</th>\n",
       "      <th>Nível de estresse</th>\n",
       "      <th>Categoria IMC</th>\n",
       "      <th>Pressão arterial</th>\n",
       "      <th>Frequência cardíaca</th>\n",
       "      <th>Passos diários</th>\n",
       "      <th>Transtorno do sono</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Male</td>\n",
       "      <td>27</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>6.10</td>\n",
       "      <td>6</td>\n",
       "      <td>42</td>\n",
       "      <td>6</td>\n",
       "      <td>Overweight</td>\n",
       "      <td>126/83</td>\n",
       "      <td>77</td>\n",
       "      <td>4200</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Male</td>\n",
       "      <td>28</td>\n",
       "      <td>Doctor</td>\n",
       "      <td>6.20</td>\n",
       "      <td>6</td>\n",
       "      <td>60</td>\n",
       "      <td>8</td>\n",
       "      <td>Normal</td>\n",
       "      <td>125/80</td>\n",
       "      <td>75</td>\n",
       "      <td>10000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Male</td>\n",
       "      <td>28</td>\n",
       "      <td>Doctor</td>\n",
       "      <td>6.20</td>\n",
       "      <td>6</td>\n",
       "      <td>60</td>\n",
       "      <td>8</td>\n",
       "      <td>Normal</td>\n",
       "      <td>125/80</td>\n",
       "      <td>75</td>\n",
       "      <td>10000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Male</td>\n",
       "      <td>28</td>\n",
       "      <td>Sales Representative</td>\n",
       "      <td>5.90</td>\n",
       "      <td>4</td>\n",
       "      <td>30</td>\n",
       "      <td>8</td>\n",
       "      <td>Obese</td>\n",
       "      <td>140/90</td>\n",
       "      <td>85</td>\n",
       "      <td>3000</td>\n",
       "      <td>Sleep Apnea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Male</td>\n",
       "      <td>28</td>\n",
       "      <td>Sales Representative</td>\n",
       "      <td>5.90</td>\n",
       "      <td>4</td>\n",
       "      <td>30</td>\n",
       "      <td>8</td>\n",
       "      <td>Obese</td>\n",
       "      <td>140/90</td>\n",
       "      <td>85</td>\n",
       "      <td>3000</td>\n",
       "      <td>Sleep Apnea</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ID Gênero  Idade              Ocupação  Duração do sono  Qualidade do sono  \\\n",
       "0   1   Male     27     Software Engineer             6.10                  6   \n",
       "1   2   Male     28                Doctor             6.20                  6   \n",
       "2   3   Male     28                Doctor             6.20                  6   \n",
       "3   4   Male     28  Sales Representative             5.90                  4   \n",
       "4   5   Male     28  Sales Representative             5.90                  4   \n",
       "\n",
       "   Nível de atividade física  Nível de estresse Categoria IMC  \\\n",
       "0                         42                  6    Overweight   \n",
       "1                         60                  8        Normal   \n",
       "2                         60                  8        Normal   \n",
       "3                         30                  8         Obese   \n",
       "4                         30                  8         Obese   \n",
       "\n",
       "  Pressão arterial  Frequência cardíaca  Passos diários Transtorno do sono  \n",
       "0           126/83                   77            4200                NaN  \n",
       "1           125/80                   75           10000                NaN  \n",
       "2           125/80                   75           10000                NaN  \n",
       "3           140/90                   85            3000        Sleep Apnea  \n",
       "4           140/90                   85            3000        Sleep Apnea  "
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "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>ID</th>\n",
       "      <th>Idade</th>\n",
       "      <th>Duração do sono</th>\n",
       "      <th>Qualidade do sono</th>\n",
       "      <th>Nível de atividade física</th>\n",
       "      <th>Nível de estresse</th>\n",
       "      <th>Frequência cardíaca</th>\n",
       "      <th>Passos diários</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>374.00</td>\n",
       "      <td>374.00</td>\n",
       "      <td>374.00</td>\n",
       "      <td>374.00</td>\n",
       "      <td>374.00</td>\n",
       "      <td>374.00</td>\n",
       "      <td>374.00</td>\n",
       "      <td>374.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>187.50</td>\n",
       "      <td>42.18</td>\n",
       "      <td>7.13</td>\n",
       "      <td>7.31</td>\n",
       "      <td>59.17</td>\n",
       "      <td>5.39</td>\n",
       "      <td>70.17</td>\n",
       "      <td>6816.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>108.11</td>\n",
       "      <td>8.67</td>\n",
       "      <td>0.80</td>\n",
       "      <td>1.20</td>\n",
       "      <td>20.83</td>\n",
       "      <td>1.77</td>\n",
       "      <td>4.14</td>\n",
       "      <td>1617.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.00</td>\n",
       "      <td>27.00</td>\n",
       "      <td>5.80</td>\n",
       "      <td>4.00</td>\n",
       "      <td>30.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>65.00</td>\n",
       "      <td>3000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>94.25</td>\n",
       "      <td>35.25</td>\n",
       "      <td>6.40</td>\n",
       "      <td>6.00</td>\n",
       "      <td>45.00</td>\n",
       "      <td>4.00</td>\n",
       "      <td>68.00</td>\n",
       "      <td>5600.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>187.50</td>\n",
       "      <td>43.00</td>\n",
       "      <td>7.20</td>\n",
       "      <td>7.00</td>\n",
       "      <td>60.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>70.00</td>\n",
       "      <td>7000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>280.75</td>\n",
       "      <td>50.00</td>\n",
       "      <td>7.80</td>\n",
       "      <td>8.00</td>\n",
       "      <td>75.00</td>\n",
       "      <td>7.00</td>\n",
       "      <td>72.00</td>\n",
       "      <td>8000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>374.00</td>\n",
       "      <td>59.00</td>\n",
       "      <td>8.50</td>\n",
       "      <td>9.00</td>\n",
       "      <td>90.00</td>\n",
       "      <td>8.00</td>\n",
       "      <td>86.00</td>\n",
       "      <td>10000.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ID  Idade  Duração do sono  Qualidade do sono  \\\n",
       "count 374.00 374.00           374.00             374.00   \n",
       "mean  187.50  42.18             7.13               7.31   \n",
       "std   108.11   8.67             0.80               1.20   \n",
       "min     1.00  27.00             5.80               4.00   \n",
       "25%    94.25  35.25             6.40               6.00   \n",
       "50%   187.50  43.00             7.20               7.00   \n",
       "75%   280.75  50.00             7.80               8.00   \n",
       "max   374.00  59.00             8.50               9.00   \n",
       "\n",
       "       Nível de atividade física  Nível de estresse  Frequência cardíaca  \\\n",
       "count                     374.00             374.00               374.00   \n",
       "mean                       59.17               5.39                70.17   \n",
       "std                        20.83               1.77                 4.14   \n",
       "min                        30.00               3.00                65.00   \n",
       "25%                        45.00               4.00                68.00   \n",
       "50%                        60.00               5.00                70.00   \n",
       "75%                        75.00               7.00                72.00   \n",
       "max                        90.00               8.00                86.00   \n",
       "\n",
       "       Passos diários  \n",
       "count          374.00  \n",
       "mean          6816.84  \n",
       "std           1617.92  \n",
       "min           3000.00  \n",
       "25%           5600.00  \n",
       "50%           7000.00  \n",
       "75%           8000.00  \n",
       "max          10000.00  "
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 374 entries, 0 to 373\n",
      "Data columns (total 13 columns):\n",
      " #   Column                     Non-Null Count  Dtype   \n",
      "---  ------                     --------------  -----   \n",
      " 0   ID                         374 non-null    int64   \n",
      " 1   Gênero                     374 non-null    category\n",
      " 2   Idade                      374 non-null    int64   \n",
      " 3   Ocupação                   374 non-null    category\n",
      " 4   Duração do sono            374 non-null    float64 \n",
      " 5   Qualidade do sono          374 non-null    int64   \n",
      " 6   Nível de atividade física  374 non-null    int64   \n",
      " 7   Nível de estresse          374 non-null    int64   \n",
      " 8   Categoria IMC              374 non-null    category\n",
      " 9   Pressão arterial           374 non-null    object  \n",
      " 10  Frequência cardíaca        374 non-null    int64   \n",
      " 11  Passos diários             374 non-null    int64   \n",
      " 12  Transtorno do sono         155 non-null    category\n",
      "dtypes: category(4), float64(1), int64(7), object(1)\n",
      "memory usage: 28.7+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calcular a correlação entre duração do sono e qualidade do sono\n",
    "correlation = df['Duração do sono'].corr(df['Qualidade do sono'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotar um gráfico de dispersão\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.scatterplot(x='Duração do sono', y='Qualidade do sono', data=df)\n",
    "plt.title(f'Relação entre Duração do sono e Qualidade do sono\\nCorrelação: {correlation:.2f}')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calcular estatísticas descritivas para nível de atividade física\n",
    "activity_stats = df.groupby('Nível de atividade física')['Qualidade do sono'].mean()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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72u8YY9Jvy44cOWKqVKliAgMDzeHDh9Mc49SpU3Z/Z7bdg/uhCx9cwjq7XqlSpW66benSpSVd7dKQFSVLlkz3qmTjxo1VsWLFLHUZsM6s9MorryhPnjy25YULF9bAgQPT3adYsWJp7ixIUqVKlVSvXj1t3bpVSUlJacoYMGCAChcubFueJ0+eDK9MT5kyRblz59bo0aOVN29eu3UDBw5U4cKFtXDhwpvW7/Tp09q4caPKlSunHj162K1r1qyZ3QBdq1WrVunChQtq3bq13dVYSXr22WdVtmxZbdy4USdPnrxp+ZKUO3fudAfCXztuICtlDho0yG58W+7cuRUSEiLpareMW1GvqVOnSrraJ//6K9EhISGqXLlyhu/PG2+8Yfd5rlu3rsqVK6eYmBgNHTrU7njly5dXrVq1dOTIEaWkpNw0rmsNGzbMdkfHat68ebp48aJefPFFVaxY0W6dv7+/nnjiCYWHh2fYFfVa99xzT5pl3t7e6t69u5KTk7V582bb8v3792v37t2qXLmynnvuuTT7FS1a1O78K1u2bLp3FDp37iwfH5805/zs2bPl4eGhYcOG2e1XrFgxPf/885KUbhet9JQtWzbdz+vtKPtaBQoU0ODBg3X58mWNHTs20/tLsnUju747VmRkpDZs2KAqVarY3SHJrnYnI65sC62WLl2qmJgYtW7d2na8Jk2ayM/PT8uXL8+wm2ZmWO/+LVy4MM15O2/ePHl5ealNmzY3PIYzbbd0tc3w8PBIs/yZZ56RdLXbsVVSUpIWLlxo+6xdq1q1amrXrl2a4xw8eFDbtm1TixYt0tShYMGCGjx4sBISErR8+fIb1u96U6ZM0bhx4+z+y8wjC65tP6wcGZs2Y8YMJScna+DAgekOSbj+t05m2j24J7rwIcfIqN+1o4wxWrBggebOnauDBw/q4sWLdl9KWZnKNDw8XLly5VKdOnXSrMvoC0qS1q5dq5kzZ2r//v2Kjo5OM4YgOjraNlg1PDw8w+PVqVMnzY+1K1eu6ODBgypSpIgmT56cbvne3t6KiIi4ceWuKTu9cqwxbdu2Ld196tevn2b73LlzKzAwUCdOnFB4ePhNJ+Zo166dpk6dqtatW6tVq1YKDAxUrVq10sw2lZUyr51swMqavF/7Yyg76/Xnn3/Ky8tLy5Yt07Jly9KsT0pK0vnz59PM7FWwYMF0v4BLlCih48ePp1uXkiVLKjk5WVFRUQ53Vc2TJ0+6XWz//PNPSVd/BKX3bJd///1X0tUxUtcnWNc7efKkfvjhB23evFmnTp1SfHy83fprL5xYH3jZuHFj5cp18+t/SUlJ+vXXX7V48WJFREQoNjZWqamp6R47Li5OR48eVcmSJdMdiG99vw8cOHDTcl1d9vWeeOIJTZ06VXPnzlWvXr0yPZFG7dq1de+992rNmjWKiYlRoUKFJMn2w75Tp062bbOz3cmIK9tCK2v3PetFFunq+d+uXTv9/PPPmj9/vp5++mmHj5eevHnzqlWrVgoNDdWGDRv08MMPS7p6IeHIkSNq3rz5TX/cO9N2S9Lly5c1ZcoUrVixQv/++68uXbokY4xt/bVjPf/++2/bdO7pzQAYFBSUJvnevXu3pKuf/fTakPPnz9uOnRmrVq266SQS6WnXrp1+//13denSRa1atVL9+vVVu3Zthy7ySv/XJmbUJfJ6mWn34J5IoOASxYsXV0REhEOTN5w6dUqSY1eBbuTDDz/U5MmT5efnp8aNG6tkyZK2K4dz587ViRMnnD52bGysChUqlG4S5ufnl+4+kydP1ujRo1WoUCE1bNhQpUuXVr58+eTh4aGVK1fq4MGDdgObrYOjixUrluZYuXPnTjN17sWLF2WM0fnz59MMgs2sG5UtKd2HbVr3yaj+1uU3G/QtXR27UK5cOc2ZM0fff/+9vv/+e+XOnVsPPfSQhg0bpgoVKmS5zPS++K0/OK794Zud9bpw4YKSk5Nv+v5cvnzZ7v3NaJpi652L9NZb1117V/NmihUrlu5VaOsEDNYfkRm52cQFx44dU+fOnXXx4kXVrVtXjRs3lo+Pjzw9PXXixAnNnTvX7hywTqrhaAL4yiuvaMWKFSpfvrweffRRFS9e3HbXbvLkyXavRVxcnKSM31frhYz0JvZwt7Kv5+npqf/973/q37+/Pv74Y/3444+ZPkanTp30xRdfaPHixerWrZukq+2ml5eX2rZta9suO9udjLiyLZSuXhjYuXOn7r///jTjcjt16qSff/5Zs2bNynICZT1eaGio5s6da0ug5s2bJ0k3nGDCypm2OykpSb169dLevXvl7++v1q1bq2jRorY2ZNy4cQ5/N2VUhrUN2bhxozZu3Jhh/I5OfpJVLVq00Hfffaeff/5Zc+bM0a+//ipJCggI0KuvvprhOC4r62vgSNuU2XYP7okECi5Rp04dbd26VZs2bbrhINGUlBTb1bFrB6Rbf9Sl1x0pvR+u586d09SpU+Xv768ZM2ak6Tq3aNEip+ph5evrq5iYGCUlJaVJotJ7GLD1R7Ofn5/mzJmTZkpU69Ws68uw1uX6LlXJycmKjo62u1pmrWOVKlVuOhPSzVxbdnqioqIy3CejhyFblzvyzBJPT08988wzeuaZZ3Tu3Dnt3LlTixcv1rJly/TXX39p8eLF8vb2ztYyM5KdZfj4+MgYk+4VYHeQXvIk/V/d5s+fn2aik8yYOHGiLly4oA8//NDuSr509Zy8/nNr7ZboyNXZffv2acWKFWrYsKF++OEHu25xqampaZII6/mS3mdZ+r8r7o68r64sOyOPPPKI6tWrpz/++EObNm3K9P4dOnTQ2LFjNW/ePHXr1k3h4eE6fPiwHn30UbuLW9nZ7mTElW2hJNuP67///jvDSZAOHz6sXbt2qXbt2lkqy3r3b/Xq1bp48aLy5cunRYsWqUiRIraE6kacabtXrVqlvXv3KiQkRB9++KHdurNnz6ZJQrPy/fDmm29mS6KZHR555BE98sgjunz5svbs2aO1a9dqxowZ6t+/v+bNm3fDu+nW+pw5cybdrvnXymy7B/fEGCi4REhIiHLnzq2VK1fqyJEjGW43e/ZsnT17VoULF7a7NW7tQmK9O3Wt/fv3p1l27Ngxpaam2mYSu9bp06fTnY40M6pUqaLU1FTt3Lkzzbr0fhxHR0fr4sWLqlWrVprk6dKlSwoLC0u3jIyOt3PnzjTJZIECBfTggw/qyJEjGU7Z7Chr2emVk1FM1pmm0luXnJysHTt22B3bUcWKFVOLFi00duxY1a9fX//9959tpsNbVea1srOMmjVrKiYm5obngDuyPpMtvc97Zhw9elTS1au/10vv9bWWu2HDBru7gun577//JF2djv36cVB79+5N02XGx8fHNpOgtQvitaxTHjvyvrqy7BsZNmyYPDw89NFHH9309bte6dKlVb9+fe3Zs0d///237Ufetd33pOxtdzLiyrYwMTFR8+fPV65cufT444+rc+fOaf5r3LixJPsxa9Yup5kdgyhdvdOUkJCgJUuWaN26dYqOjlbbtm0d6nbuTNtt/fw2b948zbrt27enWXb//fcrX758OnDgQLoXMG90LlvbS3eSP39+NWjQQMOHD1f//v2VlJSk9evX33Af653Ia8eGZSSz7R7cEwkUXKJ8+fJ6/vnnlZSUpOeffz7dweYrV67UqFGjJElDhw5Vvnz5bOuqV68u6f+mQ7c6deqUvvnmmzTHKlu2rKS0XyKXLl3SW2+9lWbsUWZZryJ9+eWXdmO1Lly4oAkTJqTZvlixYsqXL5/CwsJ06dIl2/KkpCSNGjVK0dHRafax/lD59ttv7X4EJCQk6PPPP083rmeeeUZJSUl644030u3+ExMTk26ydr1SpUqpUaNGOn78eJrnCa1cuTLdRr9Zs2YqXLiwFi9enOaO2uTJk3X8+HE1bNjwpuOEEhMT0/2hnpSUZBubZP1sZFeZN5KdZVgHZL/99tvp3lW5fPlyuncjXS0kJEQFCxbUuHHj7CbYsEpNTU33GW3Xs56X139+/vjjD/32229ptq9atapq1aqlAwcO6IcffkizPjo62nb+ZXTsc+fO6b333ks3nscff1zGGH388cd27cT58+c1fvx42zbO1ut2lH0jVapUUfv27XXw4EEtXrw40/tb26DffvtNixcvVpEiRfTII4+k2S672p2bxeGKtnD58uW6cOGCGjdurNGjR2vUqFFp/hs7dqzy58+vpUuX2hIKa7fC9C763UzHjh2VK1cuzZs3z9Z97/o7Fxlxpu3O6PN77Ngxffrpp2m29/LyUrt27XTp0qU045n27duX7uQc1apVU926dbVixYp0z3VJOnToUIZ3tbLb9u3b0/0dYC3/+olHrvfUU08pd+7cGj9+fLq/Z64drpDZdg/uiS58cJlBgwbp8uXL+umnn9ShQwfbbHjJycnavXu3bcB437599cQTT9jtW6NGDQUGBmr79u164oknVL9+fUVFRWnNmjVq3Lhxmi8pPz8/tWnTRosXL1bHjh3VqFEjxcbGatOmTfL29lblypWdHqAtSW3bttWSJUu0evVqtW3bVo8++qiSk5O1bNkyVatWzXZFzypXrlzq2bOn7aGZ1mf5bN26VTExMbZZ+K5Vp04d9ezZU1OnTlXbtm312GOP2Z59UrBgwXTHT3Tu3FlhYWGaPn26mjdvrsaNG6t06dKKiYnR8ePHtX37doWEhGT4o+5aI0aM0JNPPqnRo0dr48aNqlSpko4ePaqVK1cqODhYa9assdu+QIECGjVqlF5++WX16NFDjz32mO15SRs2bJCfn59D5cbHx6tbt26qUKGCAgICVKZMGSUkJGjTpk2KiIhQ06ZNbQPvs6vMG8nOMho0aKBXX31Vn3/+uVq2bKmHHnpI5cqV0+XLl3Xy5Elt375dtWvX1k8//ZSlmLNbkSJF9NVXX2nQoEHq0qWLGjRooIoVK8rDw0OnT5/W7t27deHCBe3bt++Gx+nWrZvmzJmjl156SS1btlSJEiV05MgR/fHHH2rVqlW6D5D95JNP9PTTT+vzzz/X8uXLVa9ePRlj9O+//2rjxo1aunSpypUrp2rVqql27dr6/fff1bVrV9WuXVvnzp3T+vXrdd9996W58ytdnUVx/fr1WrVqlTp06KCHHnpI8fHxWrZsmc6dO6e+ffummXkxPa4s+2ZeeeUVLVu2zHYVPDOaN28uHx8fTZkyRUlJSerZs2e6d0Gys91JjyvbQuu4v+u/k67l4+Ojxx57THPmzNGCBQvUvXt31axZU/ny5dPkyZN14cIF27ignj173rRrZunSpVWvXj1t3rxZuXPnlr+/f6buRma27Q4ODlaFChU0ceJEHT58WJUrV9apU6e0Zs0aPfLII+nOMPrKK69o8+bNmjx5svbv3297DtSSJUv00EMPafXq1Wn2+eyzz9SrVy+9+eabmjp1qmrUqCFfX1+dPn1ahw8f1uHDh/Xrr79mOLYqO33wwQc6c+aMateurbJly8rLy0thYWHasmWLypYte9PZDitWrKh33nlH77zzjjp27KhHH31U9957r6Kjo7V//34VKFDANuuqM+0e3A8JFFzGw8NDr732mh577DFNnz5d27Zt06ZNm2yDJ/38/PTxxx+rYcOG6e4/fvx4ffzxx1q1apWmTp2qe++9V//73//UqFEjLV26NM32o0aNUvny5bVkyRL98ssvKlq0qJo2baoXX3zRqQdMXl+XsWPH6vvvv9fcuXM1bdo0lShRQo8//rgGDRqkatWqpdnnpZdeUtGiRTVr1iz9+uuv8vX1VcOGDfXyyy+nOyuRdLW/+L333qtffvlFM2fOVOHChdW8eXMNGTJEHTp0SHefd955Rw899JBmzpypTZs22Sa8KF26tPr06aP27ds7VMd7771XoaGh+uyzz7Rp0yZt27ZNFotF33zzjc6fP5/mS1i6erdm+vTp+u6777RhwwbFxcWpePHi6tq1qwYOHOjQgNt8+fJp6NCh2rp1q3bv3q2VK1eqQIECuueeezRy5Mg0V+Wzo8ybyc4y+vXrp9q1a2vq1KnauXOnVq9eLR8fH5UsWVJdunSxG6DvTho0aKAFCxbo559/1oYNG7Rjxw55eXmpRIkSql+/vlq2bHnTY1SqVElTpkzRl19+qXXr1ik5OVmVKlXSuHHj5Ovrm+4PifLly2vOnDn68ccftXLlSv3888+2Yz377LO2H1uenp6aMGGCvvzyS61fv15Tp05VyZIl9cQTT+j5559P9weRt7e3Jk6cqIkTJ2rRokWaNm2aPD09ValSJb3xxhsOvxeuLPtmSpcurV69eun777/P9L758uXTY489ZrtKfqNJDLKr3cmIK9rCf/75R9u2bVPx4sUVHBx8w22feOIJzZkzR6GhoerevbsKFSqkr776St98843mzp1rmxyhffv2Do1t69SpkzZv3qzk5OQ03SZvJrNtd/78+TV58mR9+umn2rZtm3bs2KHy5ctr4MCB6t27d7rnZdGiRTVjxgx9/vnnWrNmjfbv36/77rtPI0eOVNmyZdNNoEqVKqXZs2dr2rRp+v33322zOhYvXlwVK1ZUjx49Mj1jpLP69++vlStXav/+/dq8ebM8PDxUpkwZDRgwQL169bING7iRLl266MEHH9TPP/+sbdu2adWqVSpcuLAsFotdwu1Muwf342GunZcScANxcXHq1q2bIiIiNHbsWDVr1szVIQFwU//88486d+6sefPmqXz58q4OBwBwF2AMFNyOj4+PvvvuOxUpUkQvv/zyTQdvArh73XfffSpfvrxTD5kFAMAZdOGDWypdurR+/PFHrVixQocOHVL9+vVtz1ABgLVr12rTpk1KSkrS4cOH1aBBA1eHBAC4S5BAwW1VqlQpS8+YAXBnW7x4sS5evKjq1aurZ8+erg4HAHCXYAwUAAAAADiIMVAAAAAA4CASKAAAAABwEAkUAAAAADjorp5EIjg4WOfPn1eePHlUrlw5V4cDAAAAwEWOHz+uhIQEFS1aNM1Dpq91VydQ58+fV3x8vOLj4xUTE+PqcAAAAAC42Pnz52+4/q5OoPLkyaP4+HjlzZtXDzzwgKvDAQAAAOAiERERio+PV548eW643V2dQJUrV04xMTF64IEHNGfOHFeHAwAAAMBFQkJCFBYWdtOhPUwiAQAAAAAOIoECAAAAAAeRQAEAAACAg0igAAAAAMBBJFAAAAAA4CASKAAAAABwEAkUAAAAADiIBAoAAAAAHEQCBQAAAAAOIoECAAAAAAeRQAEAAACAg0igAAAAAMBBJFAAAAAA4CASKAAAAABwEAkUAAAAADiIBAoAAAAAHEQCBQAAAAAOIoECAAAAAAeRQAEAAACAg0igAAAAAMBBuV0dAAAAAOAKPd5ZqvjElGw/bl5vT017t1W2Hzc9t6IOtzP+nIgECgAAAHel+MQUJdyCBOp2uhPqkNPQhQ8AAAAAHEQCBQAAAAAOIoECAAAAAAeRQAEAAACAg0igAAAAAMBBJFAAAAAA4CASKAAAAABwEAkUAAAAADiIBAoAAAAAHEQCBQAAAAAOIoECAAAAAAeRQAEAAACAg0igAAAAAMBBJFAAAAAA4CASKAAAAABwEAkUAAAAADiIBAoAAAAAHEQCBQAAAAAOIoECAAAAAAeRQAEAAACAg0igAAAAAMBBJFAAAAAA4CASKAAAAABwEAkUAAAAADiIBAoAAAAAHEQCBQAAAAAOIoECAAAAAAeRQAEAAACAg0igAAAAAMBBJFAAAAAA4CASKAAAAABwEAkUAAAAADiIBAoAAAAAHEQCBQAAAAAOIoECAAAAAAeRQAEAAACAg0igAAAAAMBBJFAAAAAA4CASKAAAAABwEAkUAAAAADgot6sDSE9cXJwmT56sZcuW6fjx4/L29la5cuUUEhKiLl26yMvLy9UhAgAAALgLuV0ClZycrF69eik8PFwdO3ZU9+7dlZiYqN9//13vvfeedu/erU8//dTVYQIAAAC4C7ldArVt2zbt379fzz77rF5//XXb8u7du+vxxx/X4sWLNXLkSPn4+LgwSgAAAAB3I7cbAxUbGytJKlGihN1yT09PFS9eXJ6envL29nZFaAAAAADucm53B6p27drKnz+/vv/+e5UsWVI1a9ZUQkKCli5dqg0bNujFF18kgQIAAADgEm6XQPn5+Wn8+PEaOXKkXnnlFdvyPHnyaNSoUXr88cdvuP/MmTMVGhrqUFkRERFZihUAAADA3cXtEihJ8vHx0X333aegoCA1atRI8fHxmjt3rt5++215eHgoJCQkw30jIyMVFhZ2G6MFAAC4O/V4Z6niE1Oy9Zh5vT017d1W2XpMIDu5XQJ18OBBdevWTb169dLQoUNty9u3b6+nnnpK7733nh555BEVLVo03f39/PwUEBDgUFkRERGKj4/PlrgBAAAyK6cnIPGJKUrI5vgBd+d2CdTkyZOVmJioxx57zG55rly51LJlS/3555/au3evHnnkkXT379q1q7p27epQWSEhIdytAgAALkMCAuQ8bjcL39mzZyVJqampadYlJyfb/R8AAAAAbie3S6AqVqwoSZozZ47d8qSkJC1atEienp6qVq2aK0IDAAAAcJdzuy58vXr10vz58zVjxgydPn1aTZo00ZUrV7RgwQIdOnRIvXv3VsmSJV0dJgAAOV5OH38DAK7gdglUmTJl9Ntvv2n8+PHatGmT/vjjD3l5eenBBx/UBx98oM6dO7s6RAAA7giMvwGAzHO7BEqSypUrp9GjR7s6DAAAAACw43ZjoAAAAADAXZFAAQAAAICDSKAAAAAAwEEkUAAAAADgIBIoAAAAAHAQCRQAAAAAOIgECgAAAAAcRAIFAAAAAA4igQIAAAAAB5FAAQAAAICDSKAAAAAAwEEkUAAAAADgIBIoAAAAAHAQCRQAAAAAOIgECgAAAAAcRAIFAAAAAA4igQIAAAAAB5FAAQAAAICDSKAAAAAAwEEkUAAAAADgIBIoAAAAAHAQCRQAAAAAOIgECgAAAAAcRAIFAAAAAA7K7eoAcqIe7yxVfGJKth4zr7enpr3bKluPCQAAACB7kUA5IT4xRQnZnEABAHIWLqYBwN0pywnU3r17tWHDBp05c0aJiYlp1nt4eGj06NFZLQYAALfCxTQAuDs5nUAZYzRs2DAtWLBAxhh5eHjIGGNbb/2bBAoAAADAncLpSSSmTZum+fPnq0OHDpo9e7aMMerVq5dmzpypIUOGqECBAmrTpo1WrlyZnfECAAAAgMs4fQdq7ty5uu+++zRmzBjbMl9fX9WsWVM1a9ZU48aN1aVLFzVs2FCPP/54tgQLAAAAAK7k9B2of/75R/Xr17dblpLyf33Bq1SpouDgYE2fPt356AAAAADAjWTpOVC+vr62f+fLl08xMTF26ytUqKC///47K0UAAAAAgNtwOoEqUaKEzpw5Y/u7fPnyCgsLs9vm6NGjyp8/v/PRAQAAAIAbcTqBql69ul3C9NBDD2nv3r365ptvdOTIEf3yyy9atWqVatSokS2BAgAAAICrOZ1AtWzZUikpKTp27JgkqW/fvipTpoy+/vprtW/fXu+//758fX316quvZluwAAAAAOBKTs/C16xZMzVr1sz2d+HChTVv3jyFhobqv//+U9myZdWxY0eVKFEiWwIFAAAAAFdzOoFKj6+vr/r06ZOdhwQAAAAAt5GlWfgAAAAA4G7i8B2o7du3S7o6eUSePHlsfzsiMDAw85EBAAAAuKP1eGep4hNTbr5hJuX19tS0d1tl+3GlTCRQPXv2lIeHh5YsWaL77rvP9rcjDhw44HSAAAAAAO5M8YkpSrgFCdSt5HACNWjQIHl4eKhIkSJ2fwMAAADA3cLhBGrw4ME3/BsAAAAA7nTZOgsfAADA7XIrxk7cynETAO4MJFAAACBHyoljJwDkfA4nUE8//bRTBXh4eGjy5MlO7QsAAAAA7sThBGrbtm3pLvfw8JAxJsPlTDQBAAAA4E7hcAJ18OBBu78TExP18ssv68iRIxo4cKCCgoLk5+enyMhIbd26Vd9++60efPBBffnll9kdMwAAAAC4RC5ndxw/frz279+v2bNnq1OnTipbtqy8vb1VtmxZhYSEKDQ0VHv37tX48eOzM14AAAAAcBmnE6iFCxeqRYsWKliwYLrrCxcurJYtW2rBggVOBwcAAAAA7sTpBOrs2bPy8vK64TZeXl6KjIx0tggAAAAAcCtOJ1ClSpXS6tWrlZiYmO76xMRErVq1SiVLlnQ6OAAAAABwJ04nUB07dtTRo0fVq1cvbd++XSkpV5/DkJKSom3btqlXr146duyYOnXqlG3BAgAAAIArOf0g3X79+iksLEyrV6/W008/rVy5cqlQoUKKiYlRamqqjDFq2rSp+vXrl53xAgAAAIDLOJ1AeXl5afz48Vq4cKHmzJmj8PBwxcTEyMfHRwEBAQoJCVHbtm2zM1YAAAAAcCmnEyirdu3aqV27dtkRCwDgLtLjnaWKT0zJ1mPm9fbUtHdbZesxAQC4VpYTKAAAnBGfmKKEbE6gAAC41bKcQB08eFCLFi1SRESErly5okmTJkmSjh8/rr1796pRo0YqVKhQVosBAAAAAJdzKIFKTk5W7txpNx07dqy+++47paamSpI8PDxs64wxevXVV/XGG2+oZ8+e2RQuAAAAALiOQ9OY9+/fX/Hx8XbLFi9erAkTJqhhw4aaN2+e+vfvb7e+fPnyqlq1qlavXp190QIAAACACzmUQO3atUu9evXShQsXbMumTp2qChUqaPz48apUqZK8vLzS7PfAAw/o6NGj2RYsAAAAALiSQwnUzJkzdf78eXXv3l1nzpyRJB06dEiNGzeWt7d3hvuVKFFCUVFR2RMpAAAAALiYQwmUxWLR7NmzVaZMGc2aNcu2/NoxT+mJiopSnjx5shYhAAAAALgJh2fhK1iwoL7//nv9888/kqQKFSpo9+7dGW6fmpqqnTt3qmLFilmPEgAAAADcgEN3oKw8PDx0//33S5JatWql8PBw/fzzz+lu++233+q///5T27Ztsx4lAAAAALgBp58D1atXLy1btkyffPKJli5dauvO99FHH2nHjh3av3+/atSooSeffDLbggUAAAAAV3I6gcqbN6+mTJmiUaNGaeHChUpJufo0+YkTJypXrlxq37693n777XSfHwUArtbjnaWKT0zJ1mPm9fbUtHdbZesxAQCAe8lSduPr66sxY8Zo2LBh2rdvny5cuCBfX19Vr15dRYsWza4YASDbxSemKCGbEygAAHDny5bbQ4ULF1aTJk2y41AAAAAA4LYyNYkEAAAAANzNsnQH6sqVK/rtt9904MABnTlzRklJSWm28fDw0OTJk7NSDAAAAAC4BacTqIMHD6pPnz46f/68jDEZbnezh+0CAAAAQE7hdAI1evRonT9/XoMHD1bHjh1VsmRJeXp6ZmdsAAAAAOBWnE6g9uzZoxYtWmjgwIHZGQ8AAAAAuC2nJ5HInz+/ypQpk52xAAAAAIBbczqBql+/vvbu3ZudsQAAAACAW3M6gRoyZIgiIiL0/fff33ASCQAAAAC4Uzg9Bqp8+fKaPn26nnrqKYWGhqpy5cry8fFJs52Hh4dGjx6dpSABAAAAwB04nUCdPn1agwYNUkxMjGJiYnT8+PF0tyOBAgAAAHCnyNI05v/8848ef/xxderUSSVKlGAacwAAAAB3NKcTqC1btqhx48YaNWpUdsYDAAAAAG7L6UkkUlNT5e/vn52xAAAAAIBbczqBqlGjho4cOZKdsQAAAACAW3M6gXrllVe0bds2LV68ODvjAQAAAAC35fQYqLVr16p+/foaOnSoZs6cqYCAgAynMR80aFCmjx8XF6cffvhBv//+u06cOKG8efOqQoUK6tGjhzp06OBs2AAAAADgNKcTqHHjxtn+vX37dm3fvj3d7ZxJoM6cOaOnn35a0dHR6tSpkypWrKgrV67o33//1cmTJ50NGQAAAACyxOkEasqUKdkZh53XXntNly5d0vz581W6dOlbVg4AAAAAZIbTCVRQUFB2xmGzc+dObdmyRcOHD1fp0qWVkpKi+Ph4FShQ4JaUBwAAAACOcnoSiVtl3bp1kqR77rlHgwcPVo0aNVS7dm01btxY48ePV0pKiosjBAAAAHC3cvoO1K0SEREhSXrzzTdVrlw5ffDBB5KkGTNmaOzYsTp16pTef//9DPefOXOmQkNDM1UWAAAAADjC7RKoS5cuSZLy5cunX375Rd7e3pKk1q1bq02bNpo1a5Z69+6t+++/P939IyMjFRYWdtviBQAAAHD3cLsEKm/evJKkdu3a2ZInSfL29la7du30zTffaOvWrRkmUH5+fgoICHCorIiICMXHx2c9aOAu1OOdpYpPzN4utXm9PTXt3VbZesw71a14/SXeAwAAbsbtEqhSpUpJupoIXc+6LCYmJsP9u3btqq5duzpUVkhICHerACfFJ6Yo4Rb8gIdjeP0BAHANt5tEombNmpKkU6dOpVl3+vRpSVKxYsVuZ0gAAAAAIMkNE6hHH31UBQsW1Pz58xUXF2dbfunSJc2dO1deXl5q3LixCyMEAAAAcLfKli58p0+fVnh4uC5evChfX18FBATYuuJllq+vr9588029/vrr6ty5szp37iwPDw/Nnj1bZ86c0SuvvMLDdQEAAAC4RJYSqBMnTmjEiBHatGlTmnUNGzbUu+++q3LlymX6uB07dlSRIkX0ww8/6JtvvlFqaqr8/f31+eefq02bNlkJGQAAAACc5nQCFRkZqW7duunMmTMqW7asAgMD5efnp8jISO3YsUMbN25Ut27dNHv27HQnhLiZhx9+WA8//LCz4QEAAABAtnM6gRo/frzOnDmjoUOHqnfv3vL09LStS0lJ0aRJk/TJJ59owoQJGjFiRLYECwAAAACu5PQkEuvWrVOjRo3Ut29fu+RJkjw9PdWnTx81atRIa9euzWqMAAAAAOAWstSFr127djfcpmrVqtq2bZuzRQB3LB5CCwAAkDM5nUD5+vrqxIkTN9zm5MmT8vX1dbYI4I7FQ1ABAAByJqe78NWpU0fLly/Xrl270l2/Z88eLVu2THXq1HE6OAAAAABwJ07fgRowYIDWrl2rnj17qnXr1qpXr578/PwUFRWlbdu2afHixfLw8FD//v2zM14AAAAAcBmnE6iAgAB99dVXGjZsmBYuXKhFixbZ1hljVKhQIY0ePVpVq1bNlkABAAAAwNWy9CDd4OBgrVmzRqtWrVJ4eLhiY2Pl6+urypUrq1mzZsqfP392xQkAAAAALpelBEqS8ufPr3bt2t10Rj4AAAAAyOmcnkQCAAAAAO42Wb4DtW/fPu3du1cXL15USkraaZk9PDw0aNCgrBYDAAAAAC7ndAIVFxenF154QVu3bpUxJsPtSKAAAAAA3CmcTqA+/vhjbdmyRXXr1lVISIhKly4tT0/P7IwNAAAAANyK0wnUqlWrVKVKFU2ZMkW5cjGUCgAAAMCdz+nMJzY2VvXq1SN5AgAAAHDXcDr7qVChgs6dO5edsQAAAACAW3M6gerevbvWrFmjM2fOZGc8AAAAAOC2nB4D9dBDD2nLli166qmnNGjQIAUEBKhgwYLpblumTBmnAwQAAAAAd+F0AtW0aVN5eHjIGKO33norw+08PDwUHh7ubDEAAAAA4DacTqA6duwoDw+P7IwFAAAAANya0wnUmDFjsjMOAAAAAHB7zEEOAAAAAA5y+g7UtU6fPq3w8HBdvHhRvr6+CggIUKlSpbLj0AAAAADgNrKUQJ04cUIjRozQpk2b0qxr2LCh3n33XZUrVy4rRQAAAACA23A6gYqMjFS3bt105swZlS1bVoGBgfLz81NkZKR27NihjRs3qlu3bpo9e7b8/PyyM2YAAAAAcAmnE6jx48frzJkzGjp0qHr37i1PT0/bupSUFE2aNEmffPKJJkyYoBEjRmRLsAAAAADgSk5PIrFu3To1atRIffv2tUueJMnT01N9+vRRo0aNtHbt2qzGCAAAAABuwekEKjIyUlWrVr3hNlWrVlVkZKSzRQAAAACAW3E6gfL19dWJEyduuM3Jkyfl6+vrbBEAAAAA4FacTqDq1Kmj5cuXa9euXemu37Nnj5YtW6Y6deo4HRwAAAAAuBOnJ5EYMGCA1q5dq549e6p169aqV6+e/Pz8FBUVpW3btmnx4sXy8PBQ//79szNeAAAAAHAZpxOogIAAffXVVxo2bJgWLlyoRYsW2dYZY1SoUCGNHj36puOkAAAAACCnyNKDdIODg7VmzRqtWrVK4eHhio2Nla+vrypXrqxmzZopf/782RUnAAAAALhclhIoScqfP7/atWundu3aZUc8AAAAAOC2nJ5EIiNJSUkKDw/X33//nd2HBgAAAACXcjqBWrJkiV566SVduHDBtuy///5T27Zt9fjjj6tNmzZ64YUXlJycnB1xAgAAAIDLOZ1AzZ49W3///bcKFy5sWzZmzBgdPXpU9erVk8Vi0apVqzRnzpzsiBMAAAAAXM7pBCoiIkLVqlWz/R0XF6f169erVatWmjRpkmbNmqX777+fBAoAAADAHcPpBOr8+fPy8/Oz/b17924lJyerTZs2kiQvLy81bNhQ//33X9ajBAAAAAA34HQCVaBAAcXFxdn+3r59uzw8PFS7dm3bsjx58ujSpUtZixAAAAAA3ITT05hXqFBB69evV2JioiRp6dKlslgsKlq0qG2bkydPqlixYlmPEgAAAADcgNN3oJ588kkdO3ZMLVq0UOvWrXX8+HGFhITYbRMWFqaKFStmOUgAAAAAcAdO34Hq1KmT/vnnH/3666+SpO7du6tnz5629bt27dLRo0fVpUuXrEcJXKfHO0sVn5iSrcfM6+2pae+2ytZjAgAA4M7idAIlSUOGDNGQIUPSXVe1alVt375d+fLly0oRQLriE1OUkM0JFAAAAHAzWUqgbsTb21ve3t636vAAAAAAcNs5PQYKAAAAAO42JFAAAAAA4CASKAAAAABwEAkUAAAAADiIBAoAAAAAHEQCBQAAAAAOypZpzE+fPq3w8HBdvHhRvr6+CggIUKlSpbLj0AAAAADgNrKUQJ04cUIjRozQpk2b0qxr2LCh3n33XZUrVy4rRQAAAACA23A6gYqMjFS3bt105swZlS1bVoGBgfLz81NkZKR27NihjRs3qlu3bpo9e7b8/PyyM2YAAAAAcAmnE6jx48frzJkzGjp0qHr37i1PT0/bupSUFE2aNEmffPKJJkyYoBEjRmRLsAAAAADgSk5PIrFu3To1atRIffv2tUueJMnT01N9+vRRo0aNtHbt2qzGCAAAAABuwekEKjIyUlWrVr3hNlWrVlVkZKSzRQAAAACAW3E6gfL19dWJEyduuM3Jkyfl6+vrbBEAAAAA4FacTqDq1Kmj5cuXa9euXemu37Nnj5YtW6Y6deo4HRwAAAAAuBOnJ5EYMGCA1q5dq549e6p169aqV6+e/Pz8FBUVpW3btmnx4sXy8PBQ//79szNeAAAAAHAZpxOogIAAffXVVxo2bJgWLlyoRYsW2dYZY1SoUCGNHj36puOkAAAAACCnyNKDdIODg7VmzRqtWrVK4eHhio2Nla+vrypXrqxmzZopf/782RUnAAAAALhclhIoScqfP7/atWundu3aZUc8AAAAAOC2nJ5EAgAAAADuNg7fgZo3b57ThXTs2NHpfQEAAADAXTicQA0bNkweHh62v40xdn+nx7oNCRQAAACAO4HDCdSHH36YZtnvv/+uNWvWKDAwUPXq1VPx4sUVFRWlrVu3avv27WratKmaN2+erQEDAAAAgKs4nEB16tTJ7u9169bpjz/+0Pjx49W0aVO7dS+88IJWrlypl19+WV27ds2eSAEAAADAxZyeRGLChAlq3rx5muTJqlmzZmrWrJnGjx/vdHAAAAAA4E6cTqAOHTqke+6554bbVKhQQYcOHXK2CAAAAABwK04nUF5eXjdNjg4ePCgvLy9niwAAAAAAt+J0AlW/fn2tW7dO06ZNkzHGbp0xRlOnTtX69evVoEGDLAcJAAAAAO7A4Ukkrjd06FBt3bpVo0aN0uTJk1WnTh0VK1ZM586d086dO3X8+HEVKlRIQ4cOzc54AQAAAMBlnE6g7rnnHoWGhurdd9/Vpk2bdOzYMbv1jRo10ogRI1S+fPksBwkAAAAA7sDpBEq6OknEzz//rDNnzig8PFyxsbHy9fVVlSpVVLJkyeyKEQAAAADcQpYSKKuSJUuSMAEAAAC44zk9iQQAAAAA3G1IoAAAAADAQSRQAAAAAOAgEigAAAAAcBAJFAAAAAA4iAQKAAAAABxEAgUAAAAADspSApWamqqpU6eqS5cuqlOnjqpUqWJbFx4erpEjR+qff/7JcpAAAAAA4A6cTqASExPVu3dvjR49Wv/9958KFCggY4xtfbly5TR79mwtXLgwy0GmpqaqS5cuslgseuaZZ7J8PAAAAABwhtMJ1E8//aStW7dq0KBB2rRpk5544gm79QULFlRgYKA2bNiQ5SAnT56sI0eOZPk4AAAAAJAVTidQCxcuVO3atfXCCy8oV65c8vDwSLNNuXLldPLkySwFeOzYMY0dO1Yvv/xylo4DAAAAAFnldAJ1/Phx1ahR44bbFCpUSDExMc4WIUl66623VLFiRfXs2TNLxwEAAACArMrt7I558uRRbGzsDbc5efKkChYs6GwRCg0N1Y4dOzR79mzlysWEgQAAAABcy+kEqlKlStq4caMSExPl7e2dZn1sbKw2bNigWrVqOXX8M2fO6OOPP1bv3r1VqVIlh/ebOXOmQkNDHdo2IiLCqdgAAAAA3J2cTqCefPJJDR06VEOHDtXo0aPt1l28eFHDhw/XxYsX9dRTTzl1/JEjR6pIkSJ64YUXMrVfZGSkwsLCnCoTAAAAAG7E6QSqbdu22rhxo+bOnavVq1erUKFCkqSQkBD99ddfSkxMVPfu3fXwww9n+tiLFy/W6tWrNXHiROXNmzdT+/r5+SkgIMChbSMiIhQfH5/p+HK6Hu8sVXxiSrYeM6+3p6a92ypbjwkAAAC4G6cTKEn68MMPFRgYqClTpujQoUMyxig8PFwPPvignnnmGT3++OOZPmZiYqI++OADNW7cWGXLltXRo0ft1sfHx+vo0aMqUKCAihcvnmb/rl27qmvXrg6VFRISclferYpPTFFCNidQAAAAwN0gSwmUdDUJCQkJUXx8vGJiYuTr66v8+fM7fbz4+HidP39eGzZsUIsWLdKs3717t1q0aKHWrVvriy++yEroAAAAAJApWU6grPLmzZvp7nbpyZcvn8aOHZvuupdeekn+/v4aNGiQSpcuneWyAAAAACAzsi2Byi5eXl567LHHMlxfrFixG64HAAAAgFvF4QTq0UcfdaoADw8PrVy50ql9AQAAAMCdOJxAGWPSLEtKSlJkZKQkydPTU0WKFFF0dLRSUq5OUODn5ycvL69sClU6dOhQth0LAAAAADLL4QRq9erVdn/HxcXpmWeeUdmyZTVkyBDVqVNHnp6eSklJ0Y4dO/T5558rNTVVEydOzPagAQAAAMAVcjm74xdffKHY2FhNmTJFQUFB8vT0lHT1TlS9evU0ZcoUxcTE6Msvv8yuWAEAAADApZxOoFasWKGmTZvK29s73fV58uTRo48+qt9//93p4AAAAADAnTidQF24cEHJyck33CYpKUkXLlxwtggAAAAAcCtOJ1D33HOPli9frtjY2HTXx8TEaPny5SpfvrzTwQEAAACAO3E6geratavOnj2rzp07a968eTp+/Lji4+N1/PhxzZ07V126dFFUVJS6deuWnfECAAAAgMs4/SDdHj166N9//9W0adM0fPjwNOuNMerRo4e6d++epQABAAAAwF04nUBJ0ltvvaU2bdpo9uzZCg8PV1xcnHx8fBQQEKBOnTqpdu3a2RUnAAAAALhclhIoSapVq5Zq1aqVHbEAAAAAgFtzegwUAAAAANxtsnwHSpJSUlIUHR2txMTEdNeXKVMmO4oBAAAAAJfKUgJ16NAhffbZZ9q6dWuGyZOHh4fCw8OzUgwAAAAAuAWnE6iIiAh17dpVktSwYUOtWbNGlSpVUrFixRQeHq7o6GjVq1ePu08AAAAA7hhOj4EaP368kpOTNXPmTE2YMEGS1KxZM/30009atWqVQkJCFBERoRdffDHbggUAAAAAV3I6gdq2bZuCg4NlsVjSrMufP7/ee+89FSxYUGPHjs1SgAAAAADgLpxOoKKjo1WhQgXb37lz59aVK1fs/q5Xr542bNiQtQgBAAAAwE04nUAVLlxYly9ftvv71KlTdtt4eXkpLi7O+egAAAAAwI04nUCVL19eJ06csP1dtWpVbdy4UefOnZMkXb58WatWrVK5cuWyHiUAAAAAuAGnE6hGjRpp69attrtQXbt2VUxMjDp27KgXX3xR7dq108mTJ9W5c+dsCxYAAAAAXMnpBKpLly4aNWqU4uPjJUmPPPKIhg8froSEBP3+++86f/68nnvuOT399NPZFiwAAAAAuJLTz4EqUaKEWrdubbesV69e6tGjh6Kjo1WsWDF5eHhkOUAAAAAAcBdOJ1AZ8fT0VPHixbP7sAAAAADgck534QMAAACAu43Dd6CcHcvk4eGhyZMnO7UvAAAAALgThxOobdu2pbvcw8NDxpgMlzMOCgAAAMCdwuEE6uDBg3Z/JyYm6uWXX9aRI0c0cOBABQUFyc/PT5GRkdq6dau+/fZbPfjgg/ryyy+zO2YAAAAAcAmnx0CNHz9e+/fv1+zZs9WpUyeVLVtW3t7eKlu2rEJCQhQaGqq9e/dq/Pjx2RkvAAAAALiM0wnUwoUL1aJFCxUsWDDd9YULF1bLli21YMECp4MDAAAAAHfidAJ19uxZeXl53XAbLy8vRUZGOlsEAAAAALgVpxOoUqVKafXq1UpMTEx3fWJiolatWqWSJUs6HRwAAAAAuBOnE6iOHTvq6NGj6tWrl7Zv366UlBRJUkpKirZt26ZevXrp2LFj6tSpU7YFCwAAAACu5PAsfNfr16+fwsLCtHr1aj399NPKlSuXChUqpJiYGKWmpsoYo6ZNm6pfv37ZGS8AAAAAuIzTCZSXl5fGjx+vhQsXas6cOQoPD1dMTIx8fHwUEBCgkJAQtW3bNjtjBQAAAACXcjqBsmrXrp3atWuXHbEAAAAAgFtzegwUAAAAANxtSKAAAAAAwEEOd+GrVKmScuXKpcWLF+u+++5TpUqV5OHhcdP9PDw8FB4enqUgAQAAAMAdOJxABQYGSpLy5ctn9zcAAAAA3C0cTqCmTp16w78BAAAA4E7HGCgAAAAAcBAJFAAAAAA4yOEufOPGjXOqAA8PDw0aNMipfQEAAADAnZBAAQAAAICDHE6gpkyZcivjAAAAAAC353ACFRQUdCvjAAAAAAC3xyQSAAAAAOAgEigAAAAAcJDDXfjSc/bsWU2YMEEbNmzQmTNnlJSUlGYbDw8PhYeHZ6UYAAAAAHALTidQZ86cUefOnXXu3DlVrFhRiYmJKlOmjLy9vXX8+HElJyercuXK8vHxyc54AQAAAMBlnO7C98033ygqKko//vijFixYIEkKCQnRsmXLtHLlSjVu3Fjx8fFOT38OAAAAAO7G6QRqw4YNatKkiRo2bJhmXalSpTR27FglJCTo66+/zlKAAAAAAOAunE6gIiMjVbFiRdvfnp6eSkhIsP1doEABNWzYUKtWrcpahAAAAADgJpxOoHx8fOwmjShYsKDOnDljt42vr6/Onz/vfHQAAAAA4EacTqDKlCmj06dP2/6uVKmStmzZoitXrkiSUlNTtWHDBpUqVSrrUQIAAACAG3A6gWrQoIG2bt1quwvVsWNHnT17Vl27dtVHH32kp556Sn/99ZdatWqVbcECAAAAgCs5PY15586dVbBgQUVHR6tEiRLq0KGDwsLCNG3aNB06dEiS1KZNGz3//PPZFiwAAAAAuJLTCdS9996rfv362S174403NGDAAB07dkxly5ZV8eLFsxwgAAAAALgLpxOojBQtWlRFixbN7sMCAAAAgMs5PQYKAAAAAO42Tt+BGj58uEPbeXh4aPTo0c4WAwAAAABuw+kEau7cuTdc7+HhIWMMCRQAAACAO4bTCdSqVavSXR4bG6t9+/Zp/PjxqlWrll599VWngwMAAAAAd+J0AlW2bNkM11WqVEmNGzdW+/bt1aBBAz3xxBPOFgMAAAAAbuOWTSJRunRpBQcHa8qUKbeqCAAAAAC4rW7pLHzFihXT0aNHb2URAAAAAHDb3LIEKiUlRVu3bpWvr++tKgIAAAAAbiunx0Bt37493eXJyck6ffq05syZowMHDjD+CQAAAMAdw+kEqmfPnvLw8MhwvTFGgYGBeu2115wtAgAAAADcitMJ1KBBg9JNoDw8PFSoUCFVr15d1atXz1JwAAAAAOBOnE6gBg8enJ1xAAAAAIDbu6Wz8AEAAADAncTpO1CStHfvXm3fvl2nT59WQkKCihYtqqpVq6pJkybKkydPdsUIAAAAAG7BqQRq7969GjlypA4cOCDp6oQRkmxjogoVKqT//e9/evzxx+32S05OVu7cWcrZAAAAAMBlMp3NrF27VoMHD1ZSUpL8/PxUr149lS5dWpJ06tQpbdu2TWfPntVbb72lo0ePasiQIZKkDRs26NChQ+rTp0/21gAAAAAAbpNMJVBRUVEaMmSIcuXKpZEjR+qJJ56Qp6en3Tapqan67bffNHr0aP3www9q2LChLl26pFdeeUX9+vXL1uABAAAA4HbKVAI1adIkXb58WV9//bWaN2+e7ja5cuVSly5dVLRoUb3wwgt67bXXdP78eRUpUiTDfQAAAAAgJ8jULHx//PGHatSo4VAi1KxZM9WoUUNnz57VAw88oFmzZslisTgdKAAAAAC4WqYSqOPHj6tWrVoOb1+rVi15eHhoxowZKlWqVKaDAwAAAAB3kqkEKjk5WV5eXg5vnzt3bnl7eyt//vyZDgwAAAAA3E2mEig/Pz8dPnzY4e3/+usv+fn5ZTooAAAAAHBHmUqgAgMDtXHjRkVERNx024iICG3YsEGBgYFOBwcAAAAA7iRTCVT37t2VnJysAQMG6K+//spwu4iICA0YMEApKSnq3r17loMEAAAAAHeQqWnMq1atqj59+uinn35Sp06d1KJFC9WvX9/uQbqbN2/WihUrlJSUpL59+6pq1aq3JHAAAAAAuN0ylUBJ0v/+9z/ly5dP3377rRYvXqwlS5bYrTfGKHfu3HrhhRf0wgsvZFugAAAAAOBqmU6gJOmFF15Qp06dNHv2bO3atUuRkZGSpOLFi6tOnToKCQlRuXLlnAro33//1cKFC7Vx40YdO3ZMly5dUpkyZdSwYUP169dPJUqUcOq4AAAAAJBVTiVQklS2bFm9+OKL2RmLJOm3337TL7/8ouDgYLVq1Up58+bVn3/+qenTp2vBggWaMWOGHnjggWwvFwAAAABuxukE6lZp2bKl+vXrp4IFC9qWPfnkk6pZs6ZGjBihr776SmPHjnVhhAAAAADuVpmahe92qFatml3yZNWmTRtJ0qFDh253SAAAAAAgyQ0TqIycOXNG0tVxVgAAAADgCm7XhS8j1m57ISEhN9xu5syZCg0NdeiYjjwQGAAAAACsckQC9e2332r58uVq1qyZOnXqdMNtIyMjFRYWdpsiAwAAAHA3cfsEavLkyfriiy8UFBSkTz/9VB4eHjfc3s/PTwEBAQ4dOyIiQvHx8dkRJgAAAIC7gFsnUBMnTtSYMWPUoEEDTZgwQfny5bvpPl27dlXXrl0dOn5ISAh3qwAAAAA4zG0TqO+//16fffaZmjRpom+++UZ58uRxdUgAAAAA7nJuOQvft99+q88++0zBwcEaP348yRMAAAAAt+B2d6B++eUXffHFFypevLiaN2+upUuX2q0vUKCAmjVr5qLoAAAAANzN3C6B2rdvnyQpKipKb7zxRpr1ZcuWJYECAAAA4BJul0CNGTNGY8aMcXUYAAAAAJCGW46BAgAAAAB3RAIFAAAAAA4igQIAAAAAB5FAAQAAAICDSKAAAAAAwEEkUAAAAADgIBIoAAAAAHAQCRQAAAAAOIgECgAAAAAcRAIFAAAAAA4igQIAAAAAB5FAAQAAAICDSKAAAAAAwEEkUAAAAADgIBIoAAAAAHAQCRQAAAAAOIgECgAAAAAcRAIFAAAAAA4igQIAAAAAB5FAAQAAAICDSKAAAAAAwEEkUAAAAADgIBIoAAAAAHAQCRQAAAAAOIgECgAAAAAcRAIFAAAAAA4igQIAAAAAB5FAAQAAAICDSKAAAAAAwEEkUAAAAADgIBIoAAAAAHAQCRQAAAAAOIgECgAAAAAcRAIFAAAAAA4igQIAAAAAB5FAAQAAAICDSKAAAAAAwEEkUAAAAADgIBIoAAAAAHAQCRQAAAAAOIgECgAAAAAcRAIFAAAAAA4igQIAAAAAB5FAAQAAAICDSKAAAAAAwEEkUAAAAADgIBIoAAAAAHAQCRQAAAAAOIgECgAAAAAcRAIFAAAAAA4igQIAAAAAB5FAAQAAAICDSKAAAAAAwEEkUAAAAADgIBIoAAAAAHAQCRQAAAAAOIgECgAAAAAcRAIFAAAAAA4igQIAAAAAB5FAAQAAAICDSKAAAAAAwEEkUAAAAADgIBIoAAAAAHAQCRQAAAAAOIgECgAAAAAcRAIFAAAAAA4igQIAAAAAB5FAAQAAAICDSKAAAAAAwEEkUAAAAADgIBIoAAAAAHAQCRQAAAAAOIgECgAAAAAcRAIFAAAAAA4igQIAAAAAB5FAAQAAAICDSKAAAAAAwEEkUAAAAADgIBIoAAAAAHAQCRQAAAAAOIgECgAAAAAcRAIFAAAAAA4igQIAAAAAB5FAAQAAAICD3DaB+v3339WlSxfVrFlTgYGBGjBggA4fPuzqsAAAAADcxdwygZo1a5YGDx6sK1euaOjQoRowYIAOHTqkrl276tChQ64ODwAAAMBdKrerA7heTEyMxowZo1KlSmnGjBny8fGRJLVq1Upt2rTRqFGjNGXKFBdHCQAAAOBu5HZ3oFatWqW4uDg98cQTtuRJksqUKaOWLVtq69atOnXqlAsjBAAAAHC3crs7UHv27JEk1apVK826WrVqae7cudq3b59Kly59u0OzyevtmSOOeTvLup3x36ryeA9cXx7vgevLyul1IH7Xl8d74PryeA9cX1ZOr0NOj/9WHleSPIwx5pYd3QkDBgzQmjVrtGTJEj3wwAN269atW6d+/frpzTff1NNPP53u/jNnzlRoaKhDZR04cECpqanKmzdvmrIAAAAA3D0iIiIUHx+vQoUKadu2bRlu53Z3oK5cuSJJ8vb2TrPOuiw+Pj7D/SMjIxUWFpapMuPj4zO9DwAAAIA7T0JCwg3Xu10ClS9fPklSYmJimnXWZXnz5s1wfz8/PwUEBDhU1uHDh2WMUYECBVSuXDknor0xaxabU+9w5fT4pZxfh5wev5Tz65DT45dyfh2I3/Vyeh1yevxSzq9DTo9fyvl1IP6bO378uBISElS0aNEbbud2CVTJkiUlSadPn07z4pw+fVqSVKpUqQz379q1q7p27XrrAsyEkJAQhYWF6YEHHtCcOXNcHU6m5fT4pZxfh5wev5Tz65DT45dyfh2I3/Vyeh1yevxSzq9DTo9fyvl1IP7s43az8FWvXl2StHv37jTr/vzzT0lStWrVbmdIAAAAACDJDROoZs2aqUCBApo1a5bi4uJsy0+ePKlly5YpKCjIpTPwAQAAALh7uV0CVahQIb322ms6ffq0nnrqKU2bNk0///yzevToIUl68803XRwhAAAAgLuV242Bkq6OYypcuLB++uknffLJJ/Ly8lLdunX18ssvq1KlSq4ODwAAAMBdyi0TKEl67LHH9Nhjj7k6DAAAAACwcbsufAAAAADgrkigAAAAAMBBJFAAAAAA4CASKAAAAABwEAkUAAAAADjIbWfhuxN06dJFkZGR8vPzc3UoTsnp8Us5vw45PX4p59chp8cv5fw6EL/r5fQ65PT4pZxfh5wev5Tz60D82cfDGGNcHQQAAAAA5AR04QMAAAAAB5FAAQAAAICDSKAAAAAAwEEkUAAAAADgIBIoAAAAAHAQCRTuaNZJJnPqZJPXxp2amurCSJx3bR1y6vtglZPj37x5s/766y9Xh3HXyult0Z2A98D1eA9cj/cge5BA3WY56QObXqw5KX5JOn78uCTJw8PDxZFkXa5cV0/XnPYeXPva58T3Yd68eRo9erSknBm/JC1evFi9e/fW3LlzJeXcZPxaOe08uJPaIinnvf6SdPbsWUm8B67EeeB6nAfZgwTqFjp16pT+/vtv7dq1S+fPn5d09QObU368xMbG6uzZs9qzZ49iY2MlXY0/pzQYs2bNUsuWLRUeHu7qUJyyfv16DR8+XB07dtSzzz6ryZMn699//81R78Gff/6pb7/9Vj179tTAgQO1dOlSXbhwwdVhOWz27NkaNmyY8uTJo7i4OFeH45Q5c+bo1VdflSRt2bJFycnJypUrV475DEk5vy3N6W1RVFSUzpw5o8OHDyspKUlSznr9pavnQffu3RUREeHqUJyS088BifPAHeT088Cd3oPct73Eu8TixYv17bff6ujRo0pMTNQ999yjxo0ba9iwYfL29nZ1eDe1bt06zZgxQ3/++acuXLigwMBAPf744+rYsWOOuGoxZ84cvf322+rZs6dbPLE6s+bPn6+3335blStXVuHChRUZGakPP/xQkydP1qhRo9SgQQNXh3hTixYt0pgxY5SUlCQPDw9duHBBO3fu1PPPP68ePXrI09PTrT9Lc+bM0ZtvvqlnnnlGPXr0kI+Pj916Y4xbxy9drcMbb7yhbt26KSYmRosXL9a0adP0zDPPuH3sVjm9Lc3pbdHSpUs1ceJERUREKDExUdWrV9cjjzyi5557zpaIu/tnyXoePPPMMypSpIirw8m0nH4OSJwH7iCnnwdu9x4YZLtly5aZKlWqmOHDh5tp06aZBQsWmI4dOxqLxWIef/xxc+jQIVeHeEPz5883tWrVMp07dzZvvPGGGTRokKlRo4Zp0aKF+fPPP10d3k399ttvxmKxmNGjR5tTp05luF1qauptjMpxe/fuNQ0aNDBvv/22OX78uG35+PHjTVBQkKlUqZJZvHixMcZ967B8+XJTo0YN8+6775pdu3aZhIQEM3fuXNOyZUvTokULExsb6+oQb2ju3LnGYrGYDz/80Jw4ccK2PCEhwURFRZnU1FSTkpLiwghvbvbs2bbzID4+3vz777+mbt26pn///m77ubleTm9Lc3pbtHjxYlOlShXzyiuvmK+//tp8++23plGjRsZisZg+ffqYuLg4Y4z7xm/M/70HH374YY58D3L6OWAM54E7yOnngTu+ByRQ2ezs2bOmS5cu5tlnn7X74RUdHW2++OILU6dOHdO6dWuzd+9eY4z7fVj/+OMPU69ePTNq1Cjz999/G2OMiYmJMVOmTDEWi8V89913Lo7wxubNm2csFov56KOPzMmTJ23L9+3bZ9auXWt+//13uy8cd/wR/Ntvv5k6deqYzZs3p1m3aNEi06JFC1OpUiWzevVqY4z7fYb++usv8/jjj5thw4bZJYBxcXHmgw8+MBaLxaxdu9aFEd7YsmXLjMViMSNHjjSnT5+2LR8/frx59tlnTcOGDc0TTzxhvvnmG/Pff/+5MNKMXftleebMGWPM1eRvyJAhbv/6W+X0tjSnt0UnTpww7dq1M4MHD7Z7/c+cOWP+97//GYvFYp588klz/vx5Y4z7xW/M/10IGTNmjN178Ndff5kdO3aYLVu2mMjISNtyd/sM5fRzwBjOA3eQ088Dd30PSKCy2YkTJ0y9evXMRx99ZFuWmJhojDEmNjbWTJkyxQQFBZn27du73QkXFRVlBg0aZHr37m3++usvu3UHDx40VapUMYMGDTLJycluE/O1du/ebSwWi3nqqafM4cOHbcvffPNN25UKi8ViGjdubD755BPbendpLKxxfPjhh8ZisZjdu3cbY65+Pq59vZcuXWoefvhhU6tWLRMWFuaKUDOUkpJiJk+ebAIDA20JnnW5McZs377dWCwWM3/+fFeFeEOXL182Y8aMMRaLxbz55pu2c7dfv34mICDAtGvXzvTq1cs0a9bMduXrn3/+cW3Q1zl8+LCpXLmyGT16tC15slqyZImxWCxmyJAhJj4+3i3PY6uc3Jbm9LbImKs/rmrWrGkmTJhgW2Z9/aOjo23nSffu3W3r3Sn+bdu2GYvFYvr372+OHTtmWz5y5EjTtGlT23vQuXNnM3nyZNt6d6pDTj4HjOE8cAd3wnngru8Bk0hks+joaMXFxSkyMlJJSUlKTk6Wl5eXjDHy8fFRSEiI+vbtq0OHDmn48OGS/m92NVc7fvy4tm3bpkceeUQPPPCApP+b3cRisahChQq6ePGiPD093SbmaxUsWFCNGjXSwYMHtWfPHiUmJqpfv35asmSJHn30UY0ePVojRoxQrly59OOPP+qDDz6Q5D4z0VjjqF27tiRpx44dkq5+PnLlymUbJPnYY4+pX79+unz5sn7++WddunTJNQGnwxpn7dq1FRwcbLdckq2/fnx8vCQpJSXl9gd5A/ny5VO3bt3Uu3dv/fbbb/r666/1wgsvaN++ffr00081Y8YMTZo0SfPnz1fHjh21YcMGTZ8+3VYfd/Dggw9q8uTJ6tu3r0qUKCHp/2bda9WqlR566CFt2rRJUVFRbj2ZRE5uS3N6WyRdnanrypUrSkxMlCQlJibKy8tLqampKly4sAYMGKCnnnpKO3bs0DvvvCPJveKPj49XlSpVtG/fPp04cUKS1LdvX82bN081atTQ66+/rt69e+u///7TmDFj9OOPP0pyrzrk5HNAknx9fTkPXCwhISHHnwdu+x7c8hTtLpOUlGR69OhhGjdubLvVmJycbIz5v4w4OjraDB482FgsFrNy5UqXxXq92NhY88UXX2TYl7RTp07mySefTHddRstut3///dc8++yzpnbt2iYkJMQ88sgjZt26deby5cu2bU6cOGFatGhhatSoYTZu3OjCaK+yjgeyvn6HDh0ywcHBJiAgwGzZssVu22uvLg4ePNg0atTIREVF3b5gM3D9mCZr17frr4YeOnTIWCwWM2vWLLvl58+fNzExMbc2yBu4Pv6TJ0+aUaNGGYvFYurWrWtWrlxpkpKSjDH2dercubNp0aKFuXDhwm2NNz2OjCtLTU0133//vbFYLOb999+31ckdJScn59i21Bhjjh49muPaIuvra4wxFy5cMK1btzYtWrSwfSdc//pHRkaaxx9/3AQFBZl9+/bd/oDTYf1MJyUlmS1btpiOHTuaxo0bmx49epiHH37YrFu3zlYfY67esa1fv75p0aJFmp4XrnBtt+Cc+nvCWoeUlJQc9518/e+Y6Oho06pVqxx1Hlxbh6SkJLN582bToUOHHHUeXCs6Otot2yL3uVSRg5mrXSElXc16H3roIUVGRurVV19VQkKCPD09lZKSYpt+unDhwnrppZeUN29eHTx40MXRX40/KSlJPj4+GjRokPLlyyfp/zJ461SR1jtPycnJtnXHjh3TunXr7La/3Ywxtivs99xzj0aMGKGgoCCFhYWpb9++atCgga1OycnJKlOmjIYNG6b4+HiXP1h02bJleu6553TgwAHb6+fv76+ePXsqOTlZH3zwgfbs2WPb3sPDw3YVpmXLloqKilJYWJhLYre6tg5WJUuWlJT2aqj1DtS1d56OHDmiMWPGaObMmS65I5Ve/KVLl1avXr303HPP6eGHH1bNmjWVO/fVSUtz5cplOycqV66so0eP6u+//77tcV/r+jqYDO4qeXh4qFu3brr33nu1detW29TsGW1/O61evVqHDh2y/Z0rVy498sgjOaYtvT7+e+65R++8806OaYt27dqlOXPm2K5S58+fXw0aNNDRo0f19ttvKzEx0e71T01NVfHixTVs2DDFxsZq//79Lo1fulqHuXPn6tixY8qdO7cCAwM1bNgwlS1bVn/++acGDhyoBg0aqECBApKuvgcPPvigBg4cqKNHj9q1Aa6waNEiNW/eXFu3bpWU884B6f/qsHnzZuXKlUsVKlTIUedBfHy8Ll++bHtWUk48D6x1OHPmjHLnzq26devq9ddfzzHnwfXy58+v+vXru917QAKVBXv37tXkyZP10ksv6csvv1RYWJg8PT311FNPqWHDhtq9e3eaRs+qZMmS8vHx0cmTJ90i/nHjxik8PFxeXl5pfvR6enra/u3h4WH7IRkREaF3331XY8eOVXR09G2NXbKPf+zYsQoLC5OHh4fuueceDR06VP3791fjxo3l5eVl28dat2LFikmSzp07d9vjttq3b59efvll7d69W59++qkOHz5sW9e7d2/16NFDR44c0bvvvqtdu3ZJutoVy5qEREVFqVChQipbtqxL4pcyrkNGP8itiYf1y/PIkSP67LPPNH/+fDVt2tTus3Y73Og9KFu2rLp06aLXX3/d9nmRrtbN+pmKiYlRhQoVdN99993WuK+VXh0yelZYSkqKChQooLZt2+rIkSNasGCBJNd315g7d64GDhyozZs329pJDw8PPfnkk2rUqJHbt6XpxS8px7RFixYt0ksvvaTVq1fbHnTq5eWll156SQ888ICWLFmijz/+OM0PF+nqxYY8efLY9nOVa+tg/SzkypVLgYGBGjRokLp3766GDRum+x5Yz19Xvgdz5szR0KFDJUkLFy7UlStXlCtXrhxzDkj2dVi8eLGuXLkiKeecBxs2bNBbb72lxx9/XN26ddPSpUvl7e2tF198McecB9fWoXv37lq6dKntYkJOOA/Cw8O1ZMkSjR07VitXrtRff/0lb29vvfTSS3rwwQfd6z24Lfe57kALFy40wcHBpkGDBqZ+/frGYrGYtm3bmiNHjhhjrt5ybNu2rW2g+fXda3bu3GkeeughM2nSJFeEn2H81pn30tOpUyfTq1cvY8zVQX39+/c31atXN+Hh4bcp6v+TUfwRERG2beLj440x/3eL99rb2hMnTjR169a1zUbmiu6HJ0+eNPXq1TPBwcHGYrGYp59+2vb5MebqIMl33nnHWCwWU79+fbN06VJbnfbv32969+5tnnjiCdvgYVe4UR2uf01TU1PN3r17jcViMYsXLzb//fef6dOnj6lZs6Y5cOCAK8K/6XtwvWu7723fvt00bdrU/O9//7PrjnK7ZeY9sNqzZ4+pVKmSefLJJ010dPRtjDYt63Tr188QZe2iER0dbdq0aeO2bWlG8V/b7ly5ciXNMitXt0WLFy82AQEB5p133jE7d+5Ms/6vv/6yfbbefvttk5CQYLd+06ZNplGjRmb27Nm3K+Q0blaHxMREc/HiRWNM+u/BN998Y+rUqWO2b99+ewK+jvUz9M4775guXbqY4OBgu3bd3X9PGHPzOhjj3t/J8+fPN4GBgaZt27bm6aefNjVr1jQWi8U2UdPff//t9udBRnWwfr8mJyenGTLgTufBvHnzTJMmTUzNmjVN9erVbV3oZ86caYy5OkTDOoGTO7wHJFBOWLRokQkICDAjR460fdA++eQTY7FYzKJFi2zbnTt3znTu3NlYLBbTpk0bM2vWLHPo0CGzYsUK07dvX9OkSRO7WVHcKf5r+8Jb+5R36tTJPPvss+bIkSMu/eGbmfitjcO1P3zDwsLMk08+aZ544gmXjR9KSUkx0dHRpkuXLmb+/Pnm008/tf34vXa2ImOMGTt2rG2mnJCQENOtWzfz2GOPmaCgIHPw4EGXxG/MjeuQ0Q/4AwcOGIvFYj755BPzwgsvuDR5ymz8144X2rFjh3n22WdNgwYNXDoLX2brcO15YJ25yFVflsb833Tro0aNsks+jLGffdJd29KbxW+Vmprqlm3Rf//9Zzp27GjefPNNu7E3//zzj4mIiLBdUDt06JBp2bKlbUa1rVu3mmPHjplNmzaZvn37muDg4DT1d5c6/Pvvv3bbXz+r6f79+03nzp1N9+7dXXIx6trntZ04ccJ8++23tmm/jfm/77Lz58+bLl26uN054Egd0uNO58HatWtNrVq1zIcffmhrN60zlq5bt862XXh4uO0HvLudB47Wwer6Zxm6+jxYsWKF7SLIpk2bTFxcnJkwYYKpWrWqsVgs5uOPPzanTp0yhw8fNi1atHCL94AEKpM2b95sgoOD0zzkdOXKlaZ+/fpmwYIFxhhju9oVExNjRowYYTdlZ2BgoGnatKlLfjg6Gv+1V9StPxzbtWtn2rZta/r06WNq1KiRY+K/1po1a0zv3r1N3bp10yQqrvDyyy+b/v37G2OMeeutt2w/fq3PxbB+eW7dutW8//77pnnz5qZTp07m9ddft7vb5koZ1cH6+sbHx9uueh06dMjUrFnTBAUFmZo1a7rk7uX1MhN/XFyc+eGHH0yXLl1Mo0aNXJb8XS8zdbD+kJ81a5apXr36De8630rXPpvk2h9Nv/76q3n33XfN008/bd5//33bRCoxMTHm7bffNo0bN3aLttTR+K+9I3JtMusObdGuXbtMnTp1zIoVK2zLRowYYZo2bWpq1qxp6tataz7//HPz33//mZiYGNO/f39jsVhMlSpVTM2aNU2DBg3MQw895NLzwJE6fPnll+m2NevWrbO9Bze683yrhIaG2p7XZp14JzIy0jRq1Mh07tzZNjmN9Ur7xYsX3eocyEwdMrqj5MrzIDU11Vy+fNm8+OKLplevXubff/+1xXngwAHTrl07s2vXLrNnzx5bbOfPnzf9+vVzm/PAkTrs3r3b7NmzJ8PJIVx5HqSmppro6GjTvXt307179zTPVvzxxx9tn/V3333XJCQkmHPnzpk+ffqYypUru/Q9yH17OgreGa5cuaIFCxaocOHC6tq1q93Yk7179+ry5csKDQ3V77//rpMnT+qpp55S586d9eabb6p79+7asmWLoqOjVa5cOTVq1EilSpVy6/h79uypdu3a2cY8FSlSRFu3btWpU6c0c+ZMVapUye3jb9u2rXLnzq24uDiNGTNGu3btUkpKiqZNm6YHH3zwtsZ/rdTUVOXKlUsVK1a0jUN5//335eHhodDQUI0ePVpDhgzRtGnT5Ofnp6FDhyooKEiXL19W/vz5lZiYaBsL5a51GDVqlIYMGaIZM2bYBjrHxcXpypUryp07t0JDQ936Pbg+/ldeeUXLly/X2LFjFRgYqClTpuj+++93WfzO1sH6uencubMeeeQRFS9e/LbHHRcXp7fffluSVKpUKdv4h4EDB2rDhg3Kly+f8ufPr61bt2ratGn64IMP1LlzZ73xxhvq0aOHy9vSzMY/ZswYdezY0bavu7RFYWFhSk1NVbNmzSRJffr00e7duxUUFKRChQpp8+bN+uGHHxQWFqZ33nlHY8eO1ZYtW7R7925FRUWpYsWKat68uUvHYTpSh++++04HDhzQoEGDVK1aNcXFxen999/X4cOHFRsbq2nTpqlixYq3Ne4dO3Zo5MiR6tGjh/r06SM/Pz/bYPiOHTvqxx9/1Jo1a9SxY0d5e3srJSVFvr6+euutt9SzZ09t3rzZpedAZutw/ThLdzgPPDw8lJSUpB07dqh+/fqqUKGCbd0ff/yhw4cPa8CAAYqJiZF09bM1cOBAffXVV25zHjhSh/79+9vq0L9/f3Xp0kVly5Z1i/PAw8NDycnJCgsL02OPPaby5ctLujpe2svLS927d9eUKVPk6emp6dOnq3z58urdu7fGjh2rHTt2uPY9uG2p2h1i3bp1JjQ01G7Z9OnTTUBAgHnuuefM1KlTzdixY239ladMmeKiSNOX2finTZtmjLl6Bax3796mZs2aLp3i0tn4Y2Njzcsvv2xGjBiR5gqHK+3Zs8fUrVvXrhvVteOeqlWrZtatW2cSEhJMSkpKuv2WXc2ROvzxxx+2O5njxo1zmzs3xjgev7W7w86dO825c+dcFW66HK2D9Uq2Ozxs88CBAyYoKMg8/PDDZsmSJWbgwIGmXr16ZubMmebo0aMmOTnZzJo1y9ZdY8OGDa4O2U5m49+0aZMxxr3aIuvYoS1btpjp06eboKAgs2HDBttYlT179pg33njDVKlSxbz//vsujTUjmanD6NGjjTFX72Z27drVDBkyxBw9etQlcZ8+fdosXLjQnD17Ns26TZs2GYvFYrp162bOnTvnlu2+Mc7VwSouLs4tzoNz586ZBg0amO7du5u9e/ea48ePmylTppgqVaqYoUOHmuXLl5sFCxaY/v37m4CAAPPpp5+6LNaMZLYOn3/+uTHGPc4DY652w61ataoZMmSIMeb/ej2lpqaaiIgI06JFC/Pdd9+Zdu3auaz3U3pIoLIoLCzM1o3jzJkztuVbt241wcHBpmbNmubUqVN2+7hTI+hI/NbnT1y8eNGu25w7cCR+a8wJCQkuHeyfnv/++8/UrFnTLF682G65dbBqmzZtzP79+40x7vW5uVZm6uCOcnr8xuTcz9GBAwdM7dq1jcViMS1atDCrV69OMzB44cKFtsHzCQkJduMzXV2XzMZvbX/cpS3666+/TI0aNcxHH31kxo4da7p3726uXLlil2AfOHDAdOrUyVSuXDlN9x5Xv/7GZL4O1nGjCQkJDj077Va60YWMYcOGmVq1atkmMbj2tc7o367gTB2s+7jLefDdd9+ZgIAAU61aNdsFj+HDh9tdKDt8+LDp0aOHsVgsabqDuvo9MCbzdbA+K8kdzoMrV66YJ5980lgsFjN37ly7de+9955p3LixiY2NNb/++quxWCy2i+jXjkt2xXvANOZZVKpUKU2cOFGDBg1SiRIlbMuDgoL06KOP6sqVK4qNjbXbx9VTBl/LkfgvXbokY4x8fX1d2lUjPY7Ef/nyZUlXn0FknT7bHRhjVL58eVWuXFnbt2+XJJ0/f16DBg1SbGys6tevr7/++ksjRoxQRESEW31urDJbB3eT0+OXcvbnqFKlSpo+fbp8fX1VtWpVBQUF2boYWp/t1rZtW9WpU0dHjx6VlPaxCq6U2fg9PT1ljHGbtuj+++9Xx44d9fPPP+unn35Snjx5lDdvXuXKlcs2TXalSpXUtGlTpaamppne2NWvv5T5Oly4cEHS1e8DHx8fF0ae9jl50v89AqJ+/fq6fPmyJkyYoISEBLvXOqN/u4IzdciVK5dbnQc9evTQqFGjVL9+fdWoUUMVK1ZU69atVbRoUdtzPh988EE1b95ckmzPSrNy9XsgZb4Op0+fluQe50HevHk1cuRISdKwYcP01ltv6aOPPlL//v01a9YsDR8+XD4+PmrdurWKFStme96edXiJ5Jr3gAQqi4oWLaoGDRrYPoDWL03p6nN6SpYs6ZIxBo5yNH53aCDSk5Nff+trWqZMGe3fv1+XLl3SiBEjtHXrVn3wwQeaNGmS2rdvr7CwMOXNm9fF0aYvp9chp8cv5fw6WCwWzZo1SwMGDLA92FGy/0K8cuWKChYs6PJxf+nJbPzu1JZ6eHjoueeeU5UqVZScnKxDhw5pw4YNkmRL9qSr4xEKFSqkokWLujLcdN0JdbiW9fPRvn171ahRQ3/++aftB/u132/uzJE6uNN5kD9/fnXo0EETJkzQW2+9pfvvv9/2nKRrnzMUExOjggUL2h4U705yeh0qVaqkuXPnqnLlyvrtt980ceJEHT58WF988YVtfKOXl5eSk5PtEidXIoHKRtYB3ZK0fft2HTx4UA0bNrT7UnVnxH97Wb/YGzdurFOnTtkGBo8cOVKNGjWSJH388cdav3692935s8rpdcjp8Ut3Rh3uvfdePfjgg7a6GGNsX/jr1q1TVFSU6tWrZ7uS6m5ycvxly5bVRx99pHvuuUdRUVGaMWOG7U6mh4eHwsPDtXHjRj3wwANu96PL6k6ow7WsP3g7d+6syMhIzZ8/X1L6d3vcVU6sg6enp+Li4vT7779r5cqVSklJsf1YP3DggNavX68HH3zQNtGBO8rJdahcubKmTp2quXPnavbs2VqwYIEeffRR24Wz9evXy8vLS7Vq1ZIkl7el7pHG3QFSUlJsXUv27t2rCRMmKC4uTgMGDHDLq6bXI/7bz/oDq1q1aoqKilJCQoLef/99NW3aVHnz5rVdabm2a6K7yel1yOnxS3dGHaw8PDzSnMsTJ06Up6ennnrqKbe6ap2enBr/gw8+qG+++UbvvPOO1q5dqwMHDqhRo0by8vLS7t27deLECf3yyy8qWLCgq0PN0J1QByvr56d27doqXry4fvvtN3Xo0MHls35mRk6tQ4kSJdS4cWNNnTpVxhjVqVNHkZGRWrJkif755x/bjKbuLCfXwcfHR5UrV06zPCwsTKGhoSpUqJAtgXJ1e+phXJ3C3WGmTJmiFStWKCIiQj///PNtn+o7q4jfNcLCwnT8+HE1btzYbe+Y3UxOr0NOj1+6M+pgNWPGDC1ZskRHjhzRpEmTcsy5bJUT44+KitKiRYs0adIknT9/XkWKFFGlSpX02muv6YEHHnB1eA65E+pwrY8++khz5szRkiVLbNPl5zQ5rQ4REREaNGiQ/vvvP6Wmpipv3rwqV66cPv/8c/n7+7s6PIfcCXWwmjBhgrZv366wsDBNmTJFFovF1SFJIoHKNomJiRo3bpzmzJmjChUq6L333stRjTXxu9613X5yqpxeh5wev5Tz65CUlKRvv/1Ws2bNUokSJTRmzJjb/mySrMjp8UtXx0nExMQoX7588vHxcYuB/pl1J9RBunoXs1ixYm7b/dYRObEOJ0+e1B9//KFDhw6pRo0aql+/fo7o/nmtO6EOp06d0jPPPCM/Pz+9++67bvW7jgQqG50+fVrh4eGqUaNGjrjKcj3iB+AOTp48qV27dikoKChHdD28Xk6PHwDcxfnz5+Xh4aEiRYq4OhQ7JFDZLKdf/SV+AO4gp5/LOT1+AEDGSKAAAAAAwEHuO58kAAAAALgZEigAAAAAcBAJFAAAAAA4iAQKAAAAABxEAgUAAAAADiKBApBtYmNjNW7cOP3666+uDgW4ZaZMmaIJEybo8uXLrg4FAOACJFAAss2wYcM0adIk1ahR47aUN2fOHFksFs2ZMyfLx9q6dassFou+/vrrbIjs9mnatKmaNm2apWN8/fXXslgs2rp1q8P79OzZUxaLJUvl3sywYcNksVh0/PjxW1pOZkyaNEmjRo1SyZIllT9//kzta7FY1LNnz1sUmXO2bNkii8WiJUuW3LIycuq55SrpnVvZ9RpOnDhRAQEBioiIyNJxgLsdCRQAG4vFIovFouDgYCUkJKS7TdOmTWWxWJScnGy3/Mcff9T69es1fvx4VapU6XaEm6MtWLDA9npv2LAhw+1uR6Jyt7L+KL3Rf9cmb7t27dKnn36qV199VSEhIS6MPHukpqbqww8/VKVKldSqVStXh3NLuEvy1q9fPwUFBaVpN2+3p556SkWKFNHHH3/s0jiAnC63qwMA4H5OnjypyZMnq1+/fg5tv2PHDn355Zf67LPPFBQUdIujuzOEhobKw8NDxhiFhoaqcePGTh1n0qRJWY6le/fuat26tcqUKZPlY+VEZcuWVadOndJdV7BgQUnS+fPn9fLLL+upp55y+Ly43pIlS5QvXz6n48xuixcv1sGDB/Xpp5/Kw8PjlpVTvXp1LVmyREWKFLllZbizuLg4bd68Wa1bt1bu3M797Mqu1zBv3rzq1auXPv30U+3atUu1a9fO0vGAuxUJFAA7hQoVkoeHh77//nt17txZRYsWvek+devW1f79+29DdHeGv//+W9u3b1fDhg0VExOj1atXKyoqSsWLF8/0se65554sx1O0aFGH3uc7VdmyZTV48OAbblO0aFGtX78+S+U88MADWdo/u/3yyy/y8fFR8+bNb2k5+fLlc7u6307r169XYmJill7n7HwN27dvr88//1zTp08ngQKcRBc+AHby5s2r559/XrGxsfrmm28c2uf48eOyWCwaNmyYbVmfPn1ksVh08ODBdPdZsmSJLBaLPvroI7vlFy5c0GeffaZWrVqpevXqqlOnjnr16nXDbm6ZERUVpTfeeEMNGzZU9erV1aFDB82dO/eG+2R3TLNmzZIkhYSEKCQkRElJSWnGcVlf023btkmSXbeya8fRXD8G6vvvv5fFYtHkyZPTLfvMmTOqUqWKXRe0G42BWrx4sUJCQlS9enU1aNBA//vf/3TmzJl0j52YmKhp06bpueeeU3BwsKpWraqgoCA988wzWrduXYavx6ZNm9StWzfVrFlTQUFBGjhw4E3HaOzZs0cvvviiGjVqpKpVq+rhhx/WiBEjMowtO6Q33iwxMVFTpkxRp06dFBgYqBo1aqhp06Z6/vnntWnTJrttMxoDlZKSohkzZqhr166qU6eOqlevrubNm+vNN9/Uv//+a9vuzJkzGjdunLp27Wqrd+PGjfXqq6/qr7/+ylRdIiIitHv3bjVt2lR58+bNsK6XLl3S6NGj9fDDD9vOl5UrV0qSkpOTNWHCBLVo0ULVqlVTs2bNNG3atDTHyqgbnbV7anJysr799lu1aNHC9l5+8sknSkxMtNs+vXYmveNZDRs2TE8//bQkady4cXbn0LWf9cTERH3//fdq166datSoodq1a6tbt24ZjgtbtWqVevXqpcaNG9vegx49euiXX35Jd/sVK1YoX758ae4yZ+bcyug13L9/vz744AO1b99eQUFBqlatmlq0aKExY8YoJiYm3WOVLFlSdevW1fLlyxUXF5fuNgBujDtQANLo3r27fvnlF/3666/q2bOn7r333kwfo1OnTtqwYYPmzZuX7g8ea9JybdepEydOqGfPnjpx4oTq1q2rJk2a6MqVK1qzZo369u2r9957T126dHG6XufPn1fXrl117Ngx1alTR3Xq1FFkZKTeeecdNWrUKN19sjumxMREzZ07V76+vmrevLni4+M1ZswY/fbbb3ruuedsXakKFiyoF154QXPnztWJEyf0wgsv2I5RtmzZDI/foUMHffHFF5o/f7569eqVZv2CBQuUkpLi0BieSZMm6cMPP1TBggXVsWNH+fr6asOGDXrqqafk4+OTZvuYmBiNGjVKtWrVUsOGDVW0aFFFRkZqzZo16tevnz744AM98cQTdvssW7ZMr7zyiry8vNS6dWv5+flp586d6tq1a4Zjv3777TeNGDFC3t7eatq0qUqVKqWjR49q1qxZWr16tUJDQ29bd8Thw4dr0aJF8vf3V4cOHZQ3b16dPXtWO3fu1B9//KGGDRvecP/ExEQNGDBAGzduVOnSpdW2bVv5+PjoxIkTWrlyperUqWM7/3bs2KEffvhB9erVU4sWLZQ/f34dPXpUy5cv1+rVqzVjxgyHxx9u3rxZklSnTp0Mt0lKStKzzz6rCxcu6NFHH1VSUpIWLVqkwYMH6+eff9b06dO1Z88ePfTQQ/L29tayZcv0/vvvq2jRomrdurVjL6CkV199VTt37lSTJk308MMPa/369frxxx91/vx5ffjhhw4f53rNmjWTdLWtCQoKsutebD2HEhMT1adPH23btk3333+/unXrpvj4eC1fvlyvvPKKDh48qCFDhtj2+/XXXzVixAj5+fkpODhYRYoU0blz53To0CHNmTNH3bt3t4shMTFR69atU+PGje0S1cyeWxkJDQ3VypUrFRgYqIYNGyo1NVVhYWGaOHGi1q9fr9DQ0HSPV7t2bW3btk3bt29XcHCww+UB+P8MAPx//v7+pkmTJsYYY5YuXWr8/f3NoEGD7LYJDg42/v7+Jikpybbs2LFjxt/f37z++uu2ZfHx8aZOnTqmYcOGdtsaY8zZs2dN5cqVTadOneyW9+jRw1gsFrNo0SK75TExMaZ9+/amWrVqJjIy0rZ89uzZxt/f38yePduh+r311lvG39/fjBo1ym753r17TZUqVYy/v7/56quvshTTzSxatMj4+/ubt99+27Zs8ODBxt/f32zatCnN9j169DD+/v4ZHi84ONgEBwfbLXv22WeNv7+/OXToUJrtW7dubQICAsz58+dty7766ivj7+9vtmzZYlt27NgxExAQYAIDA82xY8dsy1NSUswLL7xg/P3908SVkJBgTp06labMixcvmjZt2pjAwEBz5coV2/K4uDgTFBRkqlSpYvbu3Wu3z6hRo2xlXFv+33//bQICAkyzZs3M6dOn7fbZtGmTqVSpkhk4cGC6r9X1tmzZYvz9/U1wcLD56quv0vx37ethTNrX+uLFi8ZisZhOnTqZ5OTkNMe/9jU25ur51aNHD7tln332mfH39zf9+/c3CQkJdusSEhLMuXPnbH9HRUWZ2NjYNOUcOHDA1KxZ0/Tp08ehehtjzMsvv2z8/f3Nvn370l1vPc+vj2v79u3G39/fBAYGmpCQEBMTE2Nb999//5mAgADToUMHu2NZX+f0zi1/f3/TqVMnEx0dbVt+6dIl06xZM1OpUiVz9uxZ2/L02pn0judI2Vbffvut8ff3N3379rVrp6Kiomyvwc6dO23LO3XqZAICAkxUVFSaY137XlmtWbPG+Pv7m3nz5tnVI7PnVkb1OH78eLqfvdDQUOPv72++++67dOu9YsUK4+/vbz766KN01wO4MbrwAUjXY489plq1amnFihXasWNHpvfPkyePWrVqpaioqDRd3ax3QTp27GhbdvDgQW3btk0tWrRQmzZt7LYvWLCgBg8erISEBC1fvtyp+iQlJWnhwoUqUKBAmvEu1apVU7t27dLscytiCg0NlWR/58367+x6fpb1db2+a+K+ffv0119/6ZFHHrnpYPSFCxcqKSlJPXr0ULly5WzLc+XKpddee025cqX9+vD29lapUqXSLPf19dXjjz+umJgY7du3z7Z81apVunDhgtq2batq1arZ7TN48GD5+vqmOdaMGTOUlJSkN998UyVLlrRb16BBAzVt2lRr1qzJVNekEydOaNy4cWn+s3afzIh1EhBvb+90X4+bvcYpKSmaPn268ubNq3fffVfe3t526729ve3GphUrVizduwmVKlVSvXr1tHXrViUlJd2wTKtTp05Jkvz8/G643RtvvGEXV926dVWuXDnFxMRo6NChtkk2JKl8+fKqVauWjhw5opSUFIfikKShQ4eqcOHCtr/z58+vdu3aKTU19ZaPrZw9e7Y8PDw0bNgwuwkeihUrpueff17S/3W5tcqdO3e6k0GkN45wxYoV8vLysrvL48y5lZGyZcvK09MzzfLOnTvLx8cnw27G1vfd+jkAkDl04QOQoddff11du3bVxx9/bPvhnxmdOnVSaGio5s6dq0ceecS2fN68efLy8lLbtm1ty3bv3i3p6oxV6U05fP78eUlXJ2Bwxt9//60rV66obt266f4wDwoKSpNwZHdMR48e1datW3XfffepVq1atuVNmjSRn5+fVq5cqfPnz2d5QofmzZvL19dXCxcu1NChQ20/sObNmydJGc44d63w8HBJUmBgYJp15cuXV+nSpXXixIk0644cOaKffvpJ27dvV2RkZJrp8K8d43GjMnx9fVW5cuU0Scyff/4pSdq2bZtdMmZ17tw5paSk6N9//1XVqlVvUsurgoKCNHXqVIe2vZaPj4+Cg4O1Zs0adejQQS1atFDdunVVo0YNh2bb+/vvvxUbG6saNWqkSQYzsnbtWs2cOVP79+9XdHR0mmmxo6OjVaJEiZseJzo6WtLVSWMyUrBgwXQnKSlRooSOHz+e7utbsmRJJScnKyoqyuE6pXec0qVLS1KG43iyQ1xcnI4ePaqSJUumO0FD/fr1JUkHDhywLWvXrp3GjBmjNm3aqHXr1goKClLt2rXTPWdTU1O1evVqBQUF2SWazp5b6UlKStKvv/6qxYsXKyIiQrGxsUpNTbWtz2hMlfV9t34OAGQOCRSADNWqVUstW7bU8uXLtWTJkkyNa5Cu9rO/9957tXr1asXExKhQoUIKCwvT4cOH1axZM7sfHRcuXJAkbdy4URs3bszwmJcvX3aqLrGxsZKuXllOT3oz4GV3TKGhoTLGpBl/lDt3brVr104///yz5s6dqz59+jh0vIzkzZtXrVq1UmhoqDZs2KCHH/5/7d19TFX1H8DxNyAgQTyoPfAUQQkVMdF0olvQcgU2iIvpBjkxy8YfhI1R1kbNxkSb7S4NlzZhxsNAEYQpAuNyLVlRpqQGSNjKEh9JiHhwyEX4/dHOjes9Fw6o+Vt9Xhv/3HPPOd/zpPdzPt/v5xvF0NAQVVVVzJgxg8jIyAm3oZwvW5UBZ82aZfUj7+TJk6xevZobN24QERHBs88+i5ubG/b29rS1tWE0Gi0KA2jZx82Ua5KXlzdu+6d6n0zW1q1b2bVrF1VVVeYg29nZmejoaN55551xKyv29vYCaA408vPz2bRpEx4eHixevBhvb29cXFyws7Ojvr6eH3/80arwgi3KeJzr16+rFpEAVF80AObsi9pyZZnWTBhgEVwolKB/bDBwuylZSltZOCUQVa4TwJo1a/Dy8qK4uJjCwkLy8/Oxs7NjwYIFrF+/3iKTevz4cbq7u81jsRRTebZsSU9Px2Aw4O/vz5IlS5g1a5Y5Y5ifn2/zOgwODgLYvPZCiPFJACWEGFdGRgaHDx9Gr9db/RDQQqfTsXXrVqqrq0lKSlItHgF//xjLzMw0V866nZTtd3V1qS6/evWqzXVuR5tMJpP52PV6PXq9XvV7paWltxxAwV/nvbS0lMrKSqKiojhy5Ag9PT0kJyfj6Og44frKsV+9epXZs2dbLVc7Xzt27GBwcJCCggIWLlxoseyzzz7DaDTa3Icatc+VLmxNTU2TGmx/p0yfPp20tDTS0tK4dOkSx44do6KiggMHDnDhwgWKi4ttrqsEDloqBw4PD7N9+3buu+8+9u/fb5VlUjJzWikvEnp6esbNQv0/Ubq22ZqMdmygo4Vy/9i6/zo7OwHrQFGn06HT6ejt7eXEiRMYDAbKy8tZu3YtNTU15hdDBoMBOzs7q383p/JsqWlubsZgMLB48WJ27dpl0a1wZGSE3Nxcm+sqLyL+y9MXCHErZAyUEGJcAQEBJCUlcf78edUSxRPR6XTY29tTWVmJyWTi0KFDeHl5ERUVZfG9OXPmAExpvJUWQUFBuLi40NbWZn4DPJbaeJfb2Saj0UhXVxeBgYEsX75c9c/f359ff/3Voi3Kj8bJjCkBzNXbjEYjfX19NgNXW5544gkAjh07ZrWso6NDdezEb7/9hqenp1XwBOrnd7x99PX1WXSdUoSHhwN37j65Fd7e3rz44ovk5eUREBBAU1PTuF2kgoKCcHd3p729fcIg6o8//qC3t5e5c+daBU8DAwO0trZOqq1KhcOpdom9G5SA8/Lly1bL+vv7LUq+K5RMltrz4+bmxkMPPcSVK1dU11VKnSv3qVp7oqKi2LhxIwkJCfT09Fjcy0ajkfDwcKvrNZVnS825c+eAv0rO3zwm64cffjBnmdQo1/3xxx/XtC8hhCUJoIQQE0pNTcXd3Z2dO3cyMDAwqXW9vb2JiIjg5MmTFBQU0N3dTWxsrFUWJCwsjPnz52MwGCgrK1PdVnt7u80M0kQcHR2Ji4tjYGDAajxTc3MzBw8etFrndrZJGUO2bt06srOzVf9SUlIAy2ISyuD6ixcvajrOsXQ6HdevX6e4uJiGhgZCQkJs/hi8WVxcHI6OjhQVFXH+/Hnz5yMjI2zZskW1a5Wvry89PT1Wc3/t27dPdTD7kiVL8PDwoKqqymo8U05Ojmqgu3LlShwdHdm8eTNnz561Wj40NPSPBVfd3d20t7dbfX7t2jWuXbvGtGnTxs32OTg4mMtmb9iwwar73dDQkHmc3cyZM3FxcaG1tdXiGTSZTGRnZ096LItS0nuymau7yc3NjaCgIL7//nuLea9u3LjB5s2bVQMG5fmxFZS89NJLjI6OsmXLFosgq7u7m08//dT8HcW3337L6Oio1XaU66R0iWttbeXChQuqWfupPFtqlFLsN7+c6OrqIisra9x1T506BaD6skMIMTHpwieEmJCnpycpKSl89NFHU1pfp9PR2NjIxx9/DNjOguj1elavXk1mZiaFhYXMmTOHe++9l8uXL3PmzBnOnDnD3r17bY5jmkh6ejrffPMN+fn5tLS0mOeBqq6uJjIyksOHD9+RNnV0dNDY2IiXl9e43SBfeOEFNm3aRF1dHT09PXh6erJo0SJqa2tJS0sjKioKZ2dnfHx8LCoY2hIfH88nn3xCTk4OJpNJc/YJwM/Pj4yMDD788EMSEhJYunSpea6avr4+QkJCrIIHZXLhl19+2fz9lpYWmpqazGPpxnJ1dSUrK4v09HRWrlxpMQ/UTz/9xIIFC6ze0j/yyCNkZ2eTmZlJbGwsTz/9NA8//DDDw8NcvHiRpqYmvLy8qK2t1XysU3XlyhV0Oh3BwcGEhITg7e1Nf38/X375Jb///jurVq2asJthamoqp06d4osvviA6OppnnnkGV1dXLl26xNdff8369etZtmwZ9vb2rFq1yjzhqzIv09GjR/nzzz/NVfi0ioiIwN3dna+++or09PRbPRX/mNdee43MzEySkpKIiYnB2dnZXH3wscceswreAwMDeeCBBzh06BDTpk3Dx8cHOzs74uPj8fX15dVXX6WhoQGj0Uh8fDyRkZEMDg5SW1tLV1cXa9euZf78+ebtvfHGG9xzzz2Eh4fj6+vL6Ogox48fp7m5mdDQUPO8X3V1dcBfBV1uNpVnS01YWBjz5s2jrq6OxMRE5s2bR1dXFw0NDQQGBtosJjIyMkJjYyOBgYEEBwdrPvdCiL9JBkoIoUlycvK4E7iO5/nnn8fNzQ2TyURwcDChoaGq33vwwQcpLy8nPT0dBwcHDh48SGFhISdOnMDb25usrKxb+g9/xowZlJSUsGzZMn755Rfy8/Npa2vjgw8+4JVXXrljbSorK2N0dJT4+HirUtVjubq6Ehsby9DQkLli3ooVK0hJSaGvr4/c3Fy2bdtGeXm5puP18fFh4cKFmEwmc6GKyVizZg16vR4/Pz8qKiooLy9n9uzZlJSUqI6biYyMZOfOnTz66KNUV1dTVlaGk5MTBQUFFlUYx4qJiSE3N5fQ0FBqamrYs2cPHh4e7Nmzx6LE81jx8fGUl5cTFxdHe3s7RUVFHDhwgHPnzhEdHc2GDRsmdZxT5evrS1paGl5eXhw9epTdu3djMBjw8/NDr9eTmZk54TacnJzIzc3l/fffZ+bMmVRWVlJUVERzczPPPfecxUS3b775Ju+++y7Tp09n7969GAwGnnzySfbt2zfpiYNdXFxISEigpaWFn3/+edLHfrcsX76cjRs3cv/991NRUUFNTQ1z586lpKTEZjGK7du389RTT1FbW0tOTg7btm0zZ36cnJzYvXu3OYgsKiqioqKCgIAA9Ho9b7/9tsX2MjIyCAsLo7W1leLiYvbv38/w8DBvvfUWBQUF5oxjfX09wcHBBAQEqB7HZJ8tNQ4ODuzYsYOkpCQ6OzspLCykqamJFStWkJeXZzP72djYSGdnJ4mJiZr2I4SwZjeqlosWQgghxL9aR0cHS5cuJTExkffee+9uN+df4+zZs8TExJCamsq6devudnOspKWl8d1331FfX2+z0qIQYnySgRJCCCH+g/z9/UlOTqa0tFRTJUChjcFgANS7791tp0+fxmAw2JyoWgihjWSghBBCiP+o/v5+Pv/8cxYtWmTRXVD8Ox05coTTp0/z+uuvW1XuE0JoJwGUEEIIIYQQQmgkXfiEEEIIIYQQQiMJoIQQQgghhBBCIwmghBBCCCGEEEIjCaCEEEIIIYQQQiMJoIQQQgghhBBCIwmghBBCCCGEEEIjCaCEEEIIIYQQQiMJoIQQQgghhBBCIwmghBBCCCGEEEIjCaCEEEIIIYQQQqP/AfW1/JOTWMgkAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotar um gráfico de barras\n",
    "plt.figure(figsize=(10, 6))\n",
    "activity_stats.plot(kind='bar')\n",
    "plt.xlabel('Nível de Atividade Física (minutos/dia)')\n",
    "plt.ylabel('Qualidade do sono média')\n",
    "plt.title('Qualidade do sono em relação ao Nível de Atividade Física')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Comparar a qualidade do sono entre categorias de IMC\n",
    "sns.boxplot(x='Categoria IMC', y='Qualidade do sono', data=df)\n",
    "plt.title('Qualidade do sono por Categoria de IMC')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Teste estatístico ANOVA para verificar diferenças significativas\n",
    "from scipy.stats import f_oneway"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Filtrar dados por categoria IMC\n",
    "baixo_peso = df[df['Categoria IMC'] == 'Baixo peso']['Qualidade do sono']\n",
    "normal = df[df['Categoria IMC'] == 'Normal']['Qualidade do sono']\n",
    "sobrepeso = df[df['Categoria IMC'] == 'Sobrepeso']['Qualidade do sono']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ANOVA: F-statistic = nan, p-value = nan\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/nickson/myenv/lib/python3.12/site-packages/scipy/stats/_stats_py.py:4102: DegenerateDataWarning: at least one input has length 0\n",
      "  if _f_oneway_is_too_small(samples):\n"
     ]
    }
   ],
   "source": [
    "# Executar o teste ANOVA\n",
    "f_stat, p_value = f_oneway(baixo_peso, normal, sobrepeso)\n",
    "print(f'ANOVA: F-statistic = {f_stat:.2f}, p-value = {p_value:.4f}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[['Pressão sistólica', 'Pressão diastólica']] = df['Pressão arterial'].str.split('/', expand=True).astype(float)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Comparar medidas cardiovasculares entre pessoas com e sem distúrbios do sono\n",
    "sns.boxplot(x='Transtorno do sono', y='Pressão arterial', data=df)\n",
    "plt.title('Medidas de Pressão Arterial por Transtorno do Sono')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='Transtorno do sono', y='Frequência cardíaca', data=df)\n",
    "plt.title('Frequência Cardíaca por Transtorno do Sono')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (myenv)",
   "language": "python",
   "name": "myenv"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}