{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "63ffbb80-3dd2-4d20-8133-d8990c589ad1",
   "metadata": {},
   "source": [
    "# Assignment 1\n",
    "### areej haddaj alqarni 252001729"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "43c6a06e-5fcd-4cce-b1b9-08a74b9bfc6a",
   "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>gender</th>\n",
       "      <th>age</th>\n",
       "      <th>hypertension</th>\n",
       "      <th>heart_disease</th>\n",
       "      <th>ever_married</th>\n",
       "      <th>work_type</th>\n",
       "      <th>Residence_type</th>\n",
       "      <th>avg_glucose_level</th>\n",
       "      <th>bmi</th>\n",
       "      <th>smoking_status</th>\n",
       "      <th>stroke</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9046</td>\n",
       "      <td>Male</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Urban</td>\n",
       "      <td>228.69</td>\n",
       "      <td>36.6</td>\n",
       "      <td>formerly smoked</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>51676</td>\n",
       "      <td>Female</td>\n",
       "      <td>61.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Rural</td>\n",
       "      <td>202.21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>31112</td>\n",
       "      <td>Male</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Rural</td>\n",
       "      <td>105.92</td>\n",
       "      <td>32.5</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>60182</td>\n",
       "      <td>Female</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Urban</td>\n",
       "      <td>171.23</td>\n",
       "      <td>34.4</td>\n",
       "      <td>smokes</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1665</td>\n",
       "      <td>Female</td>\n",
       "      <td>79.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Rural</td>\n",
       "      <td>174.12</td>\n",
       "      <td>24.0</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      id  gender   age  hypertension  heart_disease ever_married  \\\n",
       "0   9046    Male  67.0             0              1          Yes   \n",
       "1  51676  Female  61.0             0              0          Yes   \n",
       "2  31112    Male  80.0             0              1          Yes   \n",
       "3  60182  Female  49.0             0              0          Yes   \n",
       "4   1665  Female  79.0             1              0          Yes   \n",
       "\n",
       "       work_type Residence_type  avg_glucose_level   bmi   smoking_status  \\\n",
       "0        Private          Urban             228.69  36.6  formerly smoked   \n",
       "1  Self-employed          Rural             202.21   NaN     never smoked   \n",
       "2        Private          Rural             105.92  32.5     never smoked   \n",
       "3        Private          Urban             171.23  34.4           smokes   \n",
       "4  Self-employed          Rural             174.12  24.0     never smoked   \n",
       "\n",
       "   stroke  \n",
       "0       1  \n",
       "1       1  \n",
       "2       1  \n",
       "3       1  \n",
       "4       1  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "df = pd.read_csv('healthcare-dataset-stroke-data.csv')\n",
    "df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "279624c3-3e76-4ac9-807f-a93ede8406c5",
   "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>age</th>\n",
       "      <th>hypertension</th>\n",
       "      <th>heart_disease</th>\n",
       "      <th>avg_glucose_level</th>\n",
       "      <th>bmi</th>\n",
       "      <th>stroke</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5110.000000</td>\n",
       "      <td>5110.000000</td>\n",
       "      <td>5110.000000</td>\n",
       "      <td>5110.000000</td>\n",
       "      <td>5110.000000</td>\n",
       "      <td>4909.000000</td>\n",
       "      <td>5110.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>36517.829354</td>\n",
       "      <td>43.226614</td>\n",
       "      <td>0.097456</td>\n",
       "      <td>0.054012</td>\n",
       "      <td>106.147677</td>\n",
       "      <td>28.893237</td>\n",
       "      <td>0.048728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>21161.721625</td>\n",
       "      <td>22.612647</td>\n",
       "      <td>0.296607</td>\n",
       "      <td>0.226063</td>\n",
       "      <td>45.283560</td>\n",
       "      <td>7.854067</td>\n",
       "      <td>0.215320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>67.000000</td>\n",
       "      <td>0.080000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>55.120000</td>\n",
       "      <td>10.300000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>17741.250000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>77.245000</td>\n",
       "      <td>23.500000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>36932.000000</td>\n",
       "      <td>45.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>91.885000</td>\n",
       "      <td>28.100000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>54682.000000</td>\n",
       "      <td>61.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>114.090000</td>\n",
       "      <td>33.100000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>72940.000000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>271.740000</td>\n",
       "      <td>97.600000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 id          age  hypertension  heart_disease  \\\n",
       "count   5110.000000  5110.000000   5110.000000    5110.000000   \n",
       "mean   36517.829354    43.226614      0.097456       0.054012   \n",
       "std    21161.721625    22.612647      0.296607       0.226063   \n",
       "min       67.000000     0.080000      0.000000       0.000000   \n",
       "25%    17741.250000    25.000000      0.000000       0.000000   \n",
       "50%    36932.000000    45.000000      0.000000       0.000000   \n",
       "75%    54682.000000    61.000000      0.000000       0.000000   \n",
       "max    72940.000000    82.000000      1.000000       1.000000   \n",
       "\n",
       "       avg_glucose_level          bmi       stroke  \n",
       "count        5110.000000  4909.000000  5110.000000  \n",
       "mean          106.147677    28.893237     0.048728  \n",
       "std            45.283560     7.854067     0.215320  \n",
       "min            55.120000    10.300000     0.000000  \n",
       "25%            77.245000    23.500000     0.000000  \n",
       "50%            91.885000    28.100000     0.000000  \n",
       "75%           114.090000    33.100000     0.000000  \n",
       "max           271.740000    97.600000     1.000000  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c32386c-ccf2-4272-b0bd-ff6016bacc9c",
   "metadata": {},
   "source": [
    "# Handling missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "c03ea672-400f-458b-a805-19d5b33b508a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                     0\n",
       "gender                 0\n",
       "age                    0\n",
       "hypertension           0\n",
       "heart_disease          0\n",
       "ever_married           0\n",
       "work_type              0\n",
       "Residence_type         0\n",
       "avg_glucose_level      0\n",
       "bmi                  201\n",
       "smoking_status         0\n",
       "stroke                 0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##Check Missing Values\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "9c58cdc1-1975-4d69-ad5f-7f6e85dd3f94",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Columns with more than 3% missing values:\n",
      "bmi    3.933464\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "missing_percentage = df.isnull().mean() * 100\n",
    "columns_with_missing_3 = missing_percentage[missing_percentage >3]\n",
    "print(\"Columns with more than 3% missing values:\")\n",
    "print(columns_with_missing_3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "0a017ac4-cf55-4b2b-8476-ccbf698493b3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Columns dropped: ['bmi']\n",
      "Remaining columns: Index(['id', 'gender', 'age', 'hypertension', 'heart_disease', 'ever_married',\n",
      "       'work_type', 'Residence_type', 'avg_glucose_level', 'smoking_status',\n",
      "       'stroke'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "missing_percentage = df.isnull().mean() * 100\n",
    "threshold = 3\n",
    "columns_to_drop = missing_percentage[missing_percentage > threshold].index\n",
    "df_cleaned = df.drop(columns=columns_to_drop)\n",
    "print(f\"Columns dropped: {list(columns_to_drop)}\")\n",
    "print(f\"Remaining columns: {df_cleaned.columns}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a5d29393-2a3b-4509-bbcc-9685797e8ad7",
   "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>gender</th>\n",
       "      <th>age</th>\n",
       "      <th>hypertension</th>\n",
       "      <th>heart_disease</th>\n",
       "      <th>ever_married</th>\n",
       "      <th>work_type</th>\n",
       "      <th>Residence_type</th>\n",
       "      <th>avg_glucose_level</th>\n",
       "      <th>bmi</th>\n",
       "      <th>smoking_status</th>\n",
       "      <th>stroke</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9046</td>\n",
       "      <td>1</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>228.69</td>\n",
       "      <td>36.6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>51676</td>\n",
       "      <td>0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>202.21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>31112</td>\n",
       "      <td>1</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>105.92</td>\n",
       "      <td>32.5</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>60182</td>\n",
       "      <td>0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>171.23</td>\n",
       "      <td>34.4</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1665</td>\n",
       "      <td>0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>174.12</td>\n",
       "      <td>24.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      id  gender   age  hypertension  heart_disease  ever_married  work_type  \\\n",
       "0   9046       1  67.0             0              1             1          2   \n",
       "1  51676       0  61.0             0              0             1          3   \n",
       "2  31112       1  80.0             0              1             1          2   \n",
       "3  60182       0  49.0             0              0             1          2   \n",
       "4   1665       0  79.0             1              0             1          3   \n",
       "\n",
       "   Residence_type  avg_glucose_level   bmi  smoking_status  stroke  \n",
       "0               1             228.69  36.6               1       1  \n",
       "1               0             202.21   NaN               2       1  \n",
       "2               0             105.92  32.5               2       1  \n",
       "3               1             171.23  34.4               3       1  \n",
       "4               0             174.12  24.0               2       1  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import LabelEncoder\n",
    "label_encoder = LabelEncoder()\n",
    "for column in df.select_dtypes(include=['object']).columns:\n",
    "       df[column] = label_encoder.fit_transform(df[column])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3a9f725-5a17-48f6-aaea-df7bcfc18d2e",
   "metadata": {},
   "source": [
    "# Data missing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "001107a2-2c14-4799-a474-469ad6f959cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "for column in df.select_dtypes(include=['float64']).columns:\n",
    " mean_value = df[column].mean() \n",
    " df[column] = df[column].fillna(mean_value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "960744fe-928b-4718-8f91-36ebfcf561ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "for column in df.select_dtypes(include=['object']).columns:\n",
    " mode_value = df[column].mode()[0] \n",
    " df[column] = df[column].fillna(mode_value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "dd5e1923-27ba-4ff0-99de-6879e5de92fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                   0\n",
       "gender               0\n",
       "age                  0\n",
       "hypertension         0\n",
       "heart_disease        0\n",
       "ever_married         0\n",
       "work_type            0\n",
       "Residence_type       0\n",
       "avg_glucose_level    0\n",
       "bmi                  0\n",
       "smoking_status       0\n",
       "stroke               0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b715852-193f-4e71-9477-9aea71ab69b0",
   "metadata": {},
   "source": [
    "# Handling outliers\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "465bdcf2-42ba-4991-ac79-4af74ab8baf7",
   "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>gender</th>\n",
       "      <th>age</th>\n",
       "      <th>hypertension</th>\n",
       "      <th>heart_disease</th>\n",
       "      <th>ever_married</th>\n",
       "      <th>work_type</th>\n",
       "      <th>Residence_type</th>\n",
       "      <th>avg_glucose_level</th>\n",
       "      <th>bmi</th>\n",
       "      <th>smoking_status</th>\n",
       "      <th>stroke</th>\n",
       "      <th>id_Outlier</th>\n",
       "      <th>age_Outlier</th>\n",
       "      <th>hypertension_Outlier</th>\n",
       "      <th>heart_disease_Outlier</th>\n",
       "      <th>avg_glucose_level_Outlier</th>\n",
       "      <th>bmi_Outlier</th>\n",
       "      <th>stroke_Outlier</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9046.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Urban</td>\n",
       "      <td>228.69</td>\n",
       "      <td>36.600000</td>\n",
       "      <td>formerly smoked</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>51676.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>61.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Rural</td>\n",
       "      <td>202.21</td>\n",
       "      <td>28.893237</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>31112.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Rural</td>\n",
       "      <td>105.92</td>\n",
       "      <td>32.500000</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>60182.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Urban</td>\n",
       "      <td>171.23</td>\n",
       "      <td>34.400000</td>\n",
       "      <td>smokes</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1665.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>79.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Rural</td>\n",
       "      <td>174.12</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5091</th>\n",
       "      <td>6369.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>59.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Rural</td>\n",
       "      <td>95.05</td>\n",
       "      <td>30.900000</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5093</th>\n",
       "      <td>32235.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Govt_job</td>\n",
       "      <td>Rural</td>\n",
       "      <td>95.02</td>\n",
       "      <td>28.893237</td>\n",
       "      <td>smokes</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5100</th>\n",
       "      <td>68398.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>82.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Rural</td>\n",
       "      <td>71.97</td>\n",
       "      <td>28.300000</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5103</th>\n",
       "      <td>22127.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>No</td>\n",
       "      <td>Private</td>\n",
       "      <td>Urban</td>\n",
       "      <td>82.85</td>\n",
       "      <td>46.900000</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5105</th>\n",
       "      <td>18234.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>80.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Urban</td>\n",
       "      <td>83.75</td>\n",
       "      <td>28.893237</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1296 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           id  gender   age  hypertension  heart_disease ever_married  \\\n",
       "0      9046.0    Male  67.0           0.0            1.0          Yes   \n",
       "1     51676.0  Female  61.0           0.0            0.0          Yes   \n",
       "2     31112.0    Male  80.0           0.0            1.0          Yes   \n",
       "3     60182.0  Female  49.0           0.0            0.0          Yes   \n",
       "4      1665.0  Female  79.0           1.0            0.0          Yes   \n",
       "...       ...     ...   ...           ...            ...          ...   \n",
       "5091   6369.0    Male  59.0           1.0            0.0          Yes   \n",
       "5093  32235.0  Female  45.0           1.0            0.0          Yes   \n",
       "5100  68398.0    Male  82.0           1.0            0.0          Yes   \n",
       "5103  22127.0  Female  18.0           0.0            0.0           No   \n",
       "5105  18234.0  Female  80.0           1.0            0.0          Yes   \n",
       "\n",
       "          work_type Residence_type  avg_glucose_level        bmi  \\\n",
       "0           Private          Urban             228.69  36.600000   \n",
       "1     Self-employed          Rural             202.21  28.893237   \n",
       "2           Private          Rural             105.92  32.500000   \n",
       "3           Private          Urban             171.23  34.400000   \n",
       "4     Self-employed          Rural             174.12  24.000000   \n",
       "...             ...            ...                ...        ...   \n",
       "5091        Private          Rural              95.05  30.900000   \n",
       "5093       Govt_job          Rural              95.02  28.893237   \n",
       "5100  Self-employed          Rural              71.97  28.300000   \n",
       "5103        Private          Urban              82.85  46.900000   \n",
       "5105        Private          Urban              83.75  28.893237   \n",
       "\n",
       "       smoking_status  stroke  id_Outlier  age_Outlier  hypertension_Outlier  \\\n",
       "0     formerly smoked     1.0       False        False                 False   \n",
       "1        never smoked     1.0       False        False                 False   \n",
       "2        never smoked     1.0       False        False                 False   \n",
       "3              smokes     1.0       False        False                 False   \n",
       "4        never smoked     1.0       False        False                  True   \n",
       "...               ...     ...         ...          ...                   ...   \n",
       "5091     never smoked     0.0       False        False                  True   \n",
       "5093           smokes     0.0       False        False                  True   \n",
       "5100     never smoked     0.0       False        False                  True   \n",
       "5103          Unknown     0.0       False        False                 False   \n",
       "5105     never smoked     0.0       False        False                  True   \n",
       "\n",
       "      heart_disease_Outlier  avg_glucose_level_Outlier  bmi_Outlier  \\\n",
       "0                      True                       True        False   \n",
       "1                     False                       True        False   \n",
       "2                      True                      False        False   \n",
       "3                     False                       True        False   \n",
       "4                     False                       True        False   \n",
       "...                     ...                        ...          ...   \n",
       "5091                  False                      False        False   \n",
       "5093                  False                      False        False   \n",
       "5100                  False                      False        False   \n",
       "5103                  False                      False         True   \n",
       "5105                  False                      False        False   \n",
       "\n",
       "      stroke_Outlier  \n",
       "0               True  \n",
       "1               True  \n",
       "2               True  \n",
       "3               True  \n",
       "4               True  \n",
       "...              ...  \n",
       "5091           False  \n",
       "5093           False  \n",
       "5100           False  \n",
       "5103           False  \n",
       "5105           False  \n",
       "\n",
       "[1296 rows x 19 columns]"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## IQR (Interquartile Range):\n",
    "data = df.copy()\n",
    "\n",
    "numeric_cols = data.select_dtypes(include=['float64', 'int64']).columns\n",
    "data[numeric_cols] = data[numeric_cols].fillna(data[numeric_cols].median())\n",
    "def detect_outliers_iqr(column):\n",
    "    Q1 = column.quantile(0.25)\n",
    "    Q3 = column.quantile(0.75)\n",
    "    IQR = Q3 - Q1\n",
    "    lower_bound = Q1 - 1.5 * IQR\n",
    "    upper_bound = Q3 + 1.5 * IQR\n",
    "    return (column < lower_bound) | (column > upper_bound)\n",
    "\n",
    "for col in numeric_cols:\n",
    "    data[f'{col}_Outlier'] = detect_outliers_iqr(data[col])\n",
    "outliers_only = data[data.filter(like='_Outlier').any(axis=1)]\n",
    "outliers_only\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "36596659-35c4-4475-b13b-433e65829c37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "plt.figure(figsize=(12, 6))\n",
    "for i, col in enumerate(df.columns[:5]):\n",
    " plt.subplot(1, 5, i+1) \n",
    " sns.boxplot(x=df[col])\n",
    " plt.title(f\"Boxplot for {col}\")\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "eb488668-e6be-465b-bc33-d3ab00854927",
   "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>gender</th>\n",
       "      <th>age</th>\n",
       "      <th>hypertension</th>\n",
       "      <th>heart_disease</th>\n",
       "      <th>ever_married</th>\n",
       "      <th>work_type</th>\n",
       "      <th>Residence_type</th>\n",
       "      <th>avg_glucose_level</th>\n",
       "      <th>bmi</th>\n",
       "      <th>...</th>\n",
       "      <th>age_Outlier</th>\n",
       "      <th>hypertension_Outlier</th>\n",
       "      <th>heart_disease_Outlier</th>\n",
       "      <th>ever_married_Outlier</th>\n",
       "      <th>work_type_Outlier</th>\n",
       "      <th>Residence_type_Outlier</th>\n",
       "      <th>avg_glucose_level_Outlier</th>\n",
       "      <th>bmi_Outlier</th>\n",
       "      <th>smoking_status_Outlier</th>\n",
       "      <th>stroke_Outlier</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9046</td>\n",
       "      <td>1</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>228.69</td>\n",
       "      <td>36.6</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>51676</td>\n",
       "      <td>0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>202.21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>31112</td>\n",
       "      <td>1</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>105.92</td>\n",
       "      <td>32.5</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>60182</td>\n",
       "      <td>0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>171.23</td>\n",
       "      <td>34.4</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1665</td>\n",
       "      <td>0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>174.12</td>\n",
       "      <td>24.0</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5088</th>\n",
       "      <td>22190</td>\n",
       "      <td>0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>76.89</td>\n",
       "      <td>30.2</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5091</th>\n",
       "      <td>6369</td>\n",
       "      <td>1</td>\n",
       "      <td>59.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>95.05</td>\n",
       "      <td>30.9</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5093</th>\n",
       "      <td>32235</td>\n",
       "      <td>0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>95.02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5100</th>\n",
       "      <td>68398</td>\n",
       "      <td>1</td>\n",
       "      <td>82.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>71.97</td>\n",
       "      <td>28.3</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5105</th>\n",
       "      <td>18234</td>\n",
       "      <td>0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>83.75</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>930 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         id  gender   age  hypertension  heart_disease  ever_married  \\\n",
       "0      9046       1  67.0             0              1             1   \n",
       "1     51676       0  61.0             0              0             1   \n",
       "2     31112       1  80.0             0              1             1   \n",
       "3     60182       0  49.0             0              0             1   \n",
       "4      1665       0  79.0             1              0             1   \n",
       "...     ...     ...   ...           ...            ...           ...   \n",
       "5088  22190       0  64.0             1              0             1   \n",
       "5091   6369       1  59.0             1              0             1   \n",
       "5093  32235       0  45.0             1              0             1   \n",
       "5100  68398       1  82.0             1              0             1   \n",
       "5105  18234       0  80.0             1              0             1   \n",
       "\n",
       "      work_type  Residence_type  avg_glucose_level   bmi  ...  age_Outlier  \\\n",
       "0             2               1             228.69  36.6  ...        False   \n",
       "1             3               0             202.21   NaN  ...        False   \n",
       "2             2               0             105.92  32.5  ...        False   \n",
       "3             2               1             171.23  34.4  ...        False   \n",
       "4             3               0             174.12  24.0  ...        False   \n",
       "...         ...             ...                ...   ...  ...          ...   \n",
       "5088          3               1              76.89  30.2  ...        False   \n",
       "5091          2               0              95.05  30.9  ...        False   \n",
       "5093          0               0              95.02   NaN  ...        False   \n",
       "5100          3               0              71.97  28.3  ...        False   \n",
       "5105          2               1              83.75   NaN  ...        False   \n",
       "\n",
       "      hypertension_Outlier  heart_disease_Outlier  ever_married_Outlier  \\\n",
       "0                    False                   True                 False   \n",
       "1                    False                  False                 False   \n",
       "2                    False                   True                 False   \n",
       "3                    False                  False                 False   \n",
       "4                     True                  False                 False   \n",
       "...                    ...                    ...                   ...   \n",
       "5088                  True                  False                 False   \n",
       "5091                  True                  False                 False   \n",
       "5093                  True                  False                 False   \n",
       "5100                  True                  False                 False   \n",
       "5105                  True                  False                 False   \n",
       "\n",
       "      work_type_Outlier  Residence_type_Outlier  avg_glucose_level_Outlier  \\\n",
       "0                 False                   False                      False   \n",
       "1                 False                   False                      False   \n",
       "2                 False                   False                      False   \n",
       "3                 False                   False                      False   \n",
       "4                 False                   False                      False   \n",
       "...                 ...                     ...                        ...   \n",
       "5088              False                   False                      False   \n",
       "5091              False                   False                      False   \n",
       "5093              False                   False                      False   \n",
       "5100              False                   False                      False   \n",
       "5105              False                   False                      False   \n",
       "\n",
       "      bmi_Outlier  smoking_status_Outlier  stroke_Outlier  \n",
       "0           False                   False            True  \n",
       "1           False                   False            True  \n",
       "2           False                   False            True  \n",
       "3           False                   False            True  \n",
       "4           False                   False            True  \n",
       "...           ...                     ...             ...  \n",
       "5088        False                   False           False  \n",
       "5091        False                   False           False  \n",
       "5093        False                   False           False  \n",
       "5100        False                   False           False  \n",
       "5105        False                   False           False  \n",
       "\n",
       "[930 rows x 24 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Z-Score\n",
    "data = df.copy()\n",
    "\n",
    "def detect_outliers_zscore(column, threshold=3):\n",
    "    mean = np.nanmean(column)\n",
    "    std_dev = np.nanstd(column)\n",
    "    z_scores = (column - mean) / std_dev\n",
    "    return np.abs(z_scores) > threshold\n",
    "\n",
    "for col in data.select_dtypes(include=[np.number]).columns:\n",
    "    data[f'{col}_Outlier'] = detect_outliers_zscore(data[col])\n",
    "\n",
    "outliers_only = data[data.filter(like='_Outlier').any(axis=1)]\n",
    "\n",
    "outliers_only"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "7588ddba-cbdc-4d13-8634-09ff1ef7fc3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "###Handling Outliers\n",
    "data = df.copy()\n",
    "\n",
    "def replace_outliers_with_nan(column):\n",
    "    Q1 = column.quantile(0.25)\n",
    "    Q3 = column.quantile(0.75)\n",
    "    IQR = Q3 - Q1\n",
    "    lower_bound = Q1 - 1.5 * IQR\n",
    "    upper_bound = Q3 + 1.5 * IQR\n",
    "    return column.where((column >= lower_bound) & (column <= upper_bound), np.nan)\n",
    "\n",
    "for col in data.select_dtypes(include=[np.number]).columns:\n",
    "    data[col] = replace_outliers_with_nan(data[col])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "2f5e6399-f7c5-4a4a-b744-4275a4b217b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sum of null values in each column:\n",
      "id                     0\n",
      "gender                 0\n",
      "age                    0\n",
      "hypertension         498\n",
      "heart_disease        276\n",
      "ever_married           0\n",
      "work_type            657\n",
      "Residence_type         0\n",
      "avg_glucose_level    627\n",
      "bmi                  126\n",
      "smoking_status         0\n",
      "stroke               249\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "null_counts = data.isnull().sum()\n",
    "print(\"Sum of null values in each column:\")\n",
    "print(null_counts)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "682efbe7-19ca-4ccd-9bed-26f2dd70d864",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "id 0\n",
      "gender 0\n",
      "age 0\n",
      "hypertension 0\n",
      "heart_disease 0\n",
      "ever_married 0\n",
      "work_type 0\n",
      "Residence_type 0\n",
      "avg_glucose_level 0\n",
      "bmi 0\n",
      "smoking_status 0\n",
      "stroke 0\n"
     ]
    }
   ],
   "source": [
    "###e K-Nearest Neighbors (KNN)\n",
    "from sklearn.impute import KNNImputer\n",
    "numeric_cols = data.select_dtypes(include=['int64', 'float64']).columns\n",
    "numeric_data = data[numeric_cols]\n",
    "\n",
    "\n",
    "imputer = KNNImputer(n_neighbors=2)\n",
    "imputed_array = imputer.fit_transform(numeric_data)\n",
    "data_imputed_knn = pd.DataFrame(imputed_array, columns=numeric_cols)\n",
    "\n",
    "\n",
    "data[numeric_cols] = data_imputed_knn\n",
    "\n",
    "\n",
    "missing_values = data[numeric_cols].isnull().sum()\n",
    "for col, count in missing_values.items():\n",
    "    print(f\"{col} {count}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7973cf2e-cfb0-48a6-82c7-04df65816b9d",
   "metadata": {},
   "source": [
    "# Data visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "607420df-3d6e-46c3-81ab-4860c2a561a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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X0bZtW9HfL+49MGLECGzatAkJCQmizgEAsLW1xdGjRzF16lT89ddfMDMzw7Jly9CvX78azadAKJTV+0dTdarPdwOtSXzKAMkCWW0l+JQB2cKnDJAs4FMGZMuH+pSB41qudZ2FKnXJDq/rLFQ7ThkgIiIiIiIikkHsECAiIiIiIiKSQbyHABEREREREdULAkVes65N3NtEREREREREMogdAkREREREREQyiFMGiIiIiIiIqF6QU5DNp2HUFY4QICIiIiIiIpJB7BAgIiIiIiIikkGcMkBERERERET1gkCRUwZqE0cIEBEREREREckgdggQERERERERySBOGSAiIiIiIqJ6gU8ZqF0cIUBEREREREQkg9ghQERERERERCSDOGWAiIiIiIiI6gU+ZaB2cYQAERERERERkQxihwARERERERGRDOKUASIiIiIiIqoX+JSB2sURAjLG398fU6ZMqfJ9Gxsb/P7777WWHyIiIiIiIqobHCEgY/bu3QtFRcW6zsZ702vlC7vpY6Dt7Q4VMyNc7zcJSQcD6zpbUoVe2IaQM+uRl50CPRMHtO49B+b2vlWmj390FecPLEZ64iOoaxnBu91YNGw5SCLNo9sncPnYMmSlxkDbwArNu02BvUdH0fvXT61GZGgAMpIfQ0FRBSY2XmjZYzp0jexEaQK2fYX71/ZLbNfYuhE+nrLzg437TvB23Anejuz0eACAvokDGneeDBvXNqI0jFusOuMGAKFQiKsnliPs8r8ozM+GsbUH/Pp9C30Tx1eu9+j2CVw5Lo6vWVfJ+ADgTvA23DyzHvkv7VczO/F+jQw9ibuXdiIlLgzP8jIxcPo+GJq7SmzjzL/fIvbhJeRlJUNRWQ2mNl5o0X0GdI3tUJ1un9+KG6fL64C+iSP8+r66DsQ9uopz+xYjLfEh1LWN4NtuLDxaDRa9n5bwEJeOLkNSXBhy0uPRps9sePuPrHJ7VwNW4+LhpfD0Gw7/vl9XZ2ivJBQKcT1gOe5deV7+Vh5o3edb6L2m/CNDT+DaiWXISouBtr4VmnSZAruG4vJ/+vgabgWtR0p8GPKzU9BlxHLYuneotJ2MpEhcOvorEh5fg1BYBl1jR3Qa9hs0dc2qPc76XM9fzuehteMRc/88uo1aDruGlffZm6qL41p85DXcPL0eKXFhyMtOQbfRy2FfIYZHoScRdnEnkp/vj0Ezqt4f1aW+HuNrmiwc10IvbMXN0y/K1hFt+rw+xvP7FyP9eYw+7caiYcvBEmke3T6BS0f/EJVti4+mVvre52YmIfjQL3gSfh4lxc+gY2iDDoN/hJGle6XPPL3zW9y9tBOte8+G1yv2F9Hb4AgBGaOnpwdNTc26zsZ7k1dXQ3ZoBML+N7+us/JKD0KO4vz+RfDtOBGDZuyDmZ0vDq0Zj5yMp1LTZ6XF4eDaCTCz88WgGfvg23ECzu37EY9unxClSYgOwfEt0+Di2xODZx6Ai29PHN88FYlPbovSxEdeg0erIRjwv53oNXEDhGUlOLBqLIoL8yU+z8qlNUZ/f1706jlu9Qcdt4a2MVp0n46B03Zj4LTdsHBshiPrJyMt4SHjrsG4X7h5eh1und0Ev75z8fHUXVDXNMSBVaNR9Cy3ynUSokNw4u9pcPbpicEzDsDZpydObJGM7+GL/dphIgZO3wcz28r7tbioAKY23mj+0fQqP8vQsgHaD1qIoV8dQc8J6yCEEAdWj0FZWWn17AAAETeP4uy+RWjS6VMMnbkfZvY+2L9qHLLTq6oDsdi/ejzM7H0wdOZ+NOk4EUF7f8TDW+I6UFxUAG0DC7TqMR1qWoav/PzEJ6G4e3EnDMycqy2mN3UraB1un9uE1r3not//dkFN0xCH1r66/BOjQxCwdRqcfHri42kH4OTTEwH/TEVSjLj8i4sKoG/mgta951a5nazUGOxbMQS6hnboOXELPp56AL4dPoW8onK1xgjU/3r+wu1zmyHA+w+7ravjWnFRAQzMXdCmX9XlXlJYAFNbb7To/vr9UR3q+zG+psjCce3BzaM4t28RfDt+isEz9sPczgcHV497RdnG4uCa8TC388HgGfvh22Eizu6tULZRITi2eSpcfHthyKwDcPHthWObpiAxWly2z/KzsOuPwZCTV0TPCWsx7KsjaN37KyipalX6zMjQU0h8chvq2kbVvwPqGYG8oN6+/ovYISBjXp4ykJycjB49ekBVVRW2trbYunVr3WbuLaScOIcH835H4v6Aus7KK90K2gS3pv3QoNkA6Bnbo02fOdDQMcGd4O1S09+9uAOaOqZo02cO9Izt0aDZALg16YuQMxvE2zy7BZZOLeDbYQL0jO3g22ECLJya4dbZzaI0vSasg2uTvtA3dYShuQs6DF6EnIynSI4Lk/g8eQUlqGsZil4q6jofdNy27u1g4+YHXSNb6BrZovlHU6GorCZxYsW4qz9uoPxq5O1zW+DbYSLsPTpB39QJHYYsRknRMzy4ebjK9W6fE8en+yI+x2a4fU4c362zkvu1tZT96uLbC006T4alU/MqP8u9+UCY2zeGlp4FjCwaoFnXKcjNTEDO86tu1eFm0EY0aNYP7s0HQM/EHv59v4aGrglCq6gDocE7oKlrCv++X0PPxB7uzQegQdO+uPFSHTCx9kDrXl/C2fsjyCsoVfnZRYV5OP73THQY9AOU1bSrLaY3IRQKEXp+C3zaT4Rdw07QN3FCu0Hl5f8wpOryD72wBRaOLeDdbgJ0jezg3W4CzB2aIfS8uPytXdqgaZcpsGvYqcrtXD3+O6xd/NC8+0wYmrtBS98S1q7+UNPQr/Y463s9B4DU+Pu4dXYT2g368b1jrqvjmo1rGzTvNgUOHlWXu0vjN9sf1aW+H+Nriiwc10KCNqJBU3GMbfp+DQ0dE4ReqKJsg5+X7UsxujXti5unXy7bzbByaoHGHSdAz9gejTtWLtsbgWuhqWuCjkMWwcTaA1r6FrB0ag4dAyuJz8vNTELQnvno/MmvkJP78Ef6Uv3CDgEZNnLkSERHR+P06dPYvXs3VqxYgeTk5LrO1n9GaUkRkuPCYOXcUmK5lXNLJESHSF0nMfpW5fQurZAcG4bS0uKq0zi3QmL0rSrzUliQAwBQqdCYxj+6inVzW+DvhZ0RuHMu8nPS3ii2V6kvcZeVleLBzSMoLsyHqY2nxHuMu/rifiE7PQ75OSkSeZVXUIK5feMq4weq3gcv4nuxXy2dJNNYOrdE4iu2+zrFhfkIv7oXWnoW0NAxeeftvKy0pAjJsWGwdm4lsdzauSUSoqquA9YV4rd2aY3kmLuiOvCmzuyaD1s3P1g5t3i7jFeDnOflb+EkWf5mdo2R+KTqckp6cktK2b76eFaRsKwMT+4HQdvABofXjsHG71pgz7KPEXX31FvH8TofQj0vLirAiX+mo03fuVB/zZXX16kvx7X6oL7si1cd42uCLBzXRGXrIhmjlUvVZZsQfQtWLlJijBXHWJ6mVaU0L2/z8d3TMLJ0x9GNX2DtN82x7ZfeuHvpX4l1hGVlOLl1JnzajYG+6aunJhG9C95DQEY9ePAAx44dw+XLl9G0aVMAwPr16+HqWrNz72RJQV4GhGWlUNOUvEKlqqmP/OxUqevk56RAVVOy8VDT1EdZWQme5WZAXdsI+TmplbappqmPvOwUqdsUCoW4cGAxTG19oG/qJFpu7doGDo26QEvPDNlpcbh8bBn2rRiJQdP3vLK3/nXqOu7UpxHY/cdglJQUQlFJDR+NXg49EwfGXUNxi2J5nh9VKfFXNeQSAPJzUqFa4SquqoY4vqr2q5qmPvJzpO/XV7kTvA0XD/2K4qJ86BrZodfEDdUSv0RetSrm1QD5OdK/n3nZqbB2MZBMryVZB95ExM0jSI67h8HTd79b5t/Ti/gqXpFX1dRH7uvKX9p3por9JU1BbhqKC/MRcmYtmnT5H5p1m4GYiPM4vuVz9JqwGWb2Td4iklf7EOr5hf2LYGrjBTv39m+1njR1fVyrT+p6X7zuGF9TZOG4VvX3z0D0na+ovNwqxPgOZZudFos7wdvh5T8Kvh0nIulJKM7u/QHy8kpwbdIbAHA9cC0Ecgpo1GZ4NUT7YZD7jw7Nr6/YISCjwsPDoaCgAF9f8c1SXFxcoKOj89p1CwsLUVhYKLGsWFgGRQEHnEglkHJQk7ZM9Jbke0Jh5XUqpqlqGQCc3bMAqU8j0P+LbRLLnby6if6vb+oEI0t3bFrQHlH3gl45RPON1VHcuka2GDRjHwoLshEZehIB275Cv8/+Fp04Me7qiTvixiEE7Zon+rv72FXS8yrEa+cxv1F9lrLdV+3Xqjh594ClUwvkZacgJGgDjm+Zgn6fb4dCtc41r5gvoZRlLyevGJtQ+vIq5GQk4OyeH9Fn0oZqjqNqD24ewtk94vL/aHR5+Ustp9eVf8X3hVUfz6QRCssAADYN2qFRm5EAAANzVyQ+CUHY5R3v1SHwodXzqLunEffoCgZO3/vG67yROm7H6pV6eoyvef/941qleITC19TJimUrLcbKaV7eplAohJGlO1p0nwYAMLJwQ3riI9wJ3g7XJr2RHHsXt89twaAZez+M7wd9kNghIKNeHLTe5eCyaNEifP/99xLLBgv0MFTeoIo1ZJOqui4EcvKVrhwU5KRV6jF+QU3TsHL63DTIySmI5nuraRogr0Ka/Jy0Sj3VQHlnQFTYafT97J/XDotW1zaCpq4ZslKevC60V6rruOUVlKBjaA0AMLZqiKSYu7h1bgvafSz9BpSM+93itm3QFsZWHqK/S0uLyvOWnQp1LfHVn4LctEpXU19WfpWp8j54EV9V+zU/N+2d5ocrq2pCWVUTOoY2MLFuhLXfNMXjOwFw8u7+1tuqqMq8VvH9BAB1rcpXoPJz0iXqwOskxYYhPzcN237tK1omLCtFfOQ13D6/FZ8vuQM5Ofm3C+Y1bNwqlH/J8/LPqZ7yV9V48/ZERV0XcnIK0DOW/GGka2SPxKgbb7wdaT60eh738DKy0mKw9mvJTpBjm76AqZ0P+k7++4239ap81WY7Vl/U9b5422N8dZGF45ooxpzK3z/VKmKUNkKiIDe9UtlW/t6nS+w3dS1D6JnYS6TRNbbDo9DymxPGR15Hfm4aNn7fVvS+sKwUFw78hFtnt2DUvNNvFyyRFLykK6NcXV1RUlKC69evi5ZFREQgMzPztevOnj0bWVlZEq+P5fRqMLcfJnkFJRhZNEDsg4sSy2MeXISpjZfUdUxsPBFTMX1EMIwsG0BeXlGUptI2I4Jh8tJcQqFQiKA98xF5JwB9Jm2Ctr7Fa/NbkJeB3MyE197t93XqMm7phKIfK9Iw7neLW0lFAzqG1qKXnrED1DQNJfJaWlKE+MhrVcYPPI8vour4qtqvsQ8uwuQV231jwlfvp7chr6AEI8sGiIkIllgeE3ERpravqAMV4n8ScQFGVu6iOvA6Vk7NMOzLQxg6c7/oZWzpDhefHhg6c3+1dwYA5eWvbWAteuk+L/+4CuX/9PE1mFhXXU7G1p6Ie1ixbN+kfovJKyjB0NIdmSlREsuzUqKh8Z6PHPzQ6rl3+3EYPOMABk3fJ3oBQKteX6HDoEVvvJ0X6t9xre7Uv31RfceuV5GF49qLspUaYxVlayolxpj7F2BkKY6xPE1wpTQvb9PU1huZyZLHrsyUaGjqmgMov3Hm0FkHMWTmftFLXdsI3u3GoPfEde8W8AdAICeot6//InYIyChnZ2d06dIF48aNw5UrV3Djxg2MHTsWqqqqr11XWVkZWlpaEq/ani4gr64GrUYu0GrkAgBQs7WAViMXqFia1mo+XsfTfyTCLu/GvSt7kJ4UifP7FiE3IwHuLcqfQXzx8BKc3PqlKL17i0HIyXiK8/sXIT0pEveu7MG9K3vg1Xa0eJttPkFMRDBuBK5FetJj3Ahci7gHl+DpN0KU5uye+Yi4fgidh/0KRWV15GWnIC87BSVFzwCU37X3woGfkBAdguz0OMQ9uoLD6z6Firpupec8f0hxXzyyFPGR15GdHofUpxG4dOQ3xD+6CmefHoy7BuMGykcbNWozHNdPrUZkaADSEh7g1PbZUFBSkbj6HrDtS1w8vET0d6PWnyDmQXl8GS/F16iNOD5Pv5G4d+Wl/bpfcr8CwLO8TKTEhyM9MRIAkJkchZT4cNFczay0WFw/tRrJsXeRk/H0+aO+pkJeURnWrn7Vsg8AwNt/FO5e3o2wy7uRnhiJs3sXIicjAR7Pnzt+4dASnPhnlii9R8tByM54irP7FiE9MRJhl3cj7PIe+LxUB8pveBWO5LhwlJUUIS8rCclx4ch8PrpDSUUDBmZOEi8FZTWoqOvAwMwJtUEgEMCj9XDcPL0aj+8EIC3xAU7vLC9/Ry9x+Qdu/xKXj4rL36PVJ4h9EIyQM2uRkfwYIWfWIv7hJXi0Fpd/cWEeUuPDkRofDqD8xn6p8eESc/Y9/cbg0e1juHflX2SlPsGd4H8QHX4G7i2GVHuc9bmeq2sZQt/USeIFAJq6ZtB6g45haerquFZUmIeU+HCkvCj3tDikVCj3ivsjo8L+qG719Rhf02ThuOblP+p5PstjPLdvIXIzEtDweYzBh5bg5EsxurcsL9tzL8d4ZQ+8271Utn7DERMRjOun1iA9KRLXT61BbIWy9fIfgcTo27gWsAqZKU8QceMQ7l76Fx6tyo9dquq6lb7TcnKKUNM0gK6xXbXvB5JNnDIgwzZu3IixY8fCz88PxsbG+OGHHzB3btXP+61PtH3c0TxQPPTR7dc5AIDYLXsROmZ2XWWrEievbniWl4mrJ/5CXnYK9E0d0WP8amjplff85mWnSNxwS1vfAj3Hrcb5/YsRemEbNLSN0KbP13Bo1FmUxtTWG10+WYJLx/7A5WPLoK1vic4jlsLEupEozYtHIO39S/IGNB0GL4Rrk76QE8gjLeEB7l8/gMKCHKhrGcLcoQm6DP8NSioaH2zcBTlpCNg6C3nZKVBW1YS+qTN6TlgruoMz466ZuF/wbjcWJcXPcHbPfBQWZMHYygO9JqyX+IycjKcSU5VMbb3R+ZMluHzsD1w5/jy+4ZLxOXp1w7P8TFw7Kd6v3ceJ9ysARIWdRuCOOaK/T/xdPh+zcafJaNrlc8grKCHh8Q3cPrcFhQXZUNPUh5mdL/p/sb3K4b7vwtm7G57lZeDyiRXIz0qGvqkTek1YI1EHsjMSROm19S3Re8IanN23CKHnt0Jd2wj+fb+Go6e4DuRmJWPbL71Ff984vQE3Tm+AuUMTDPj87YaA1yRP//LyP7+vvPyNrDzQfZxk+edmSpa/iY03Og5dgqvH/8DVE8ugpW+JjsOWwthKXP7JcXdxcNVLP44OLQYAOPv0RrtB5f+3a9gRbfp+h5Aza3Bh/4/QMbRF50+WwdTWp9rjrM/1vCbU1XEtOfYu9v0lLvcLB8rL2qVxb3QcUv7/qLDTOLX9pf2xpXx/NOlcM/ujvh7ja5osHNecvLvhWX4Grp5Ygbzs8hh7vhRjfnYKcirE2HP8GpzfvwihF7ZCQ9sIfn2llO3wpbh89HdR2XYZ8RtMbMRla2zlgY/GLMfFw0tx9cRf0NKzQJs+c+Di27P2gieZJxCK7oBB9O6OKDrXdRbqRNSB+3WdBaIaJ6uthIKM3uW4sEg2C1y++mdWfBB4nzLZIv8fHfL8OmWyeVjD5K51nYN3c9G3cV1noUotrl+r6yxUO04ZICIiIiIiIpJB7BAgIiIiIiIikkG8hwARERERERHVC3IyOmWvrnCEABEREREREZEMYocAERERERERkQzilAEiIiIiIiKqFwQy+jSMusIRAkREREREREQyiB0CRERERERERDKIUwaIiIiIiIioXuBTBmoXRwgQERERERERySB2CBARERERERHJIE4ZICIiIiIionpBwCkDtYojBIiIiIiIiIhkEDsEiIiIiIiIiGQQpwwQERERERFRvSCQ4zXr2sS9TURERERERCSD2CFAREREREREJIM4ZYCIiIiIiIjqBYEcnzJQmzhCgIiIiIiIiEgGsUOAiIiIiIiISAZxygARERERERHVC3LynDJQmzhCgIiIiIiIiEgGsUOAiIiIiIiISAZxygARERERERHVC3zKQO3iCAEiIiIiIiIiGcQOASIiIiIiIiIZxCkDREREREREVC8I5HjNujaxQ4CqRdSB+3WdhTph28ulrrNQJ8J3htd1FuqEhrpsNlB6WmV1nYU6EZMgrOss1Akjfdms5xnZslneulqyOVc3JUM2yzu/oKSus1An9HT4k4eoKrLZ6hMRERERERHJOHaXERERERERUb3ApwzULo4QICIiIiIiIpJB7BAgIiIiIiIikkGcMkBERERERET1gpw8pwzUJo4QICIiIiIiIpJB7BAgIiIiIiIikkGcMkBERERERET1Ap8yULs4QoCIiIiIiIhIBrFDgIiIiIiIiEgGccoAERERERER1QsCOV6zrk3c20REREREREQyiB0CRERERERERDKIUwaIiIiIiIioXuBTBmoXRwgQERERERERySB2CBARERERERHJIE4ZICIiIiIionqBUwZqF0cIEBEREREREckgdggQERERERERySBOGSAiIiIiIqJ6gVMGahdHCBARERERERHJIHYIEBEREREREckgdggQERERERERySDeQ4CIiIiIiIjqBYEcr1nXJu5tIiIiIiIiIhnEDoH/sJEjR6J37951nQ0iIiIiIiKqhzhlgGpN6IVtCDmzHnnZKdAzcUDr3nNgbu9bZfr4R1dx/sBipCc+grqWEbzbjUXDloMk0jy6fQKXjy1DVmoMtA2s0LzbFNh7dBS9f/3UakSGBiAj+TEUFFVgYuOFlj2mQ9fITpQmYNtXuH9tv8R2ja0b4eMpO6sn8Gqk18oXdtPHQNvbHSpmRrjebxKSDgbWdbbemFAoxM3Av3D/6r8oLMiGkaUHWvSaCz1jx1euF3X3JK4HLEN2Wgy09K3g2+l/sG0gLudbQWsQdTcAWSmPIa+oAmNrLzTpMh06hraiNMWFebh6fCme3AvEs/xMaOqao0GLYXBrNrjG4n3h9vmtuB5YXvf1TRzh128OLF5R9+MeXsXZfYuRlvgQ6tpG8G0/Fo1aifN55+K/uHd1P9ISHgIAjCwboFWPaTCx9hBv49E1XA9cj+TYu8jLTkGPsX/BwaNDzQUpxZXAbbhwbANyM1NgZO6ArkNmw8a56rij7l/F8e0/ITn+ETR1jdCq6xg0aSf5nb94YjOuntmBrLQEqGnqooFvJ3TsPw2KSsoAgNP7luPMgb8k1tHQMsCXy85Xf4BVqKl6fu/ydoRf2YGcjHgAgK6RA7zbT4KlcxuJbYRf/Rep8WEozM9E38/3Qt/MtWYCreB60FZcPrEeuVkpMDRzRMeBc2DlWHV5P4m4ilO7FiPl6UNo6hihWeex8PET1/PbF/fi8KbZldb78q9QKCgqi/7OzkjCmb2/IPLueRQXPYOesQ26j/gRptbu1Rvgc0KhENdOLse9K/+iMD8bxlYeaNP3W+iZvLp8I0NP4OrxZchKi4G2vhWadp0Cu4YdJdLcDd6GkKD1yM9JgZ6xA1r2mgMzO8l9mJ4UictHfsXTx9cgFJZBz9gRnT75DZq6ZshOj8M/C6V/zzt98jscGnV5v+BfUhflfe7gnzh/eLnE++paBpjya3A1RfV6QqEQN04tx/0rz7/fVh5o2ev15f/4zglcPyn+fjfuPAW27uLyDzmzGtF3A5CZLG7HmnabDh1DO4ntZCRF4sqxX5Hw+BogLIOusSM6DP0NGrpmNRLvy9q4y8HbXgAVJSA+DTh+vRQp2a9ex8VCAH8POehqABm5wJnQMkTECSXSaKoC7T3lYG8qgKI8kJYDHLpSisQM8ec2sBZASw0oLQMS0oU4E1qGp2nVG1/oha24efrFeaoj2vR59Xlq3KOrOL9/MdKft9U+7caiYUvJc4pHt0/g0tE/ROepLT6aKnGeWlZagivH/0TEjUPIy0mFupYhXBv3QZNOk0TD5vNzUhF88FfERFxAYUEOzOx94d9vLnQMbap3B9QjcvJ87GBtYocAVUkoFKK0tBQKCu9fTR6EHMX5/Yvg3/9bmNp64+7FnTi0ZjyGfnUYmlIasay0OBxcOwENmg1Ap2G/ICHqJoJ2z4eqhi4cGnUGACREh+D4lmlo1vUL2DXsiMd3AnB881T0+2IrTKwbAQDiI6/Bo9UQGFk2RFlZKS4f/Q0HVo3F0C8PQ1FZTfR5Vi6t0WHwQtHf8vKK7x1zTZBXV0N2aATiNu+Fz67lr1+hnrl9bh3uXNgEv/4LoW1gg5Azq3Bs/RgMmH4MSsrqUtdJehKCwO3T4NvxC9i4dUD0vVMI3DYNPSf8AyOr8nJOeHwNDZoPgYGFO4Rlpbh24ncc2zAG/acehqJSeTlfOrIYCZFX4T/wZ2jqmiPuYTCCD8yHmpYRbNza11jMETePImjvIrQbMA9mdt64E7wD+1eOw/A5R6ClJ63ux2Lf6vFo2HwAugz/BU8f38TpXd9DTUMPjp7ldT/u4RW4+HwEU1tvKCgq4fqpddi7YjSGzz4CDR1jAEBxUT4MzZ3RoFlfHF7/eY3FV5U7V47i2LbF6D58LqwcvXH9zE78vXQCPl94CDr6lePOSInD30snwtevP/pN+BkxD2/i8JYFUNfUQ4PGnQAAty8eQsCupeg95kdYOXghLSkae9eV/4DoNkT8Q8LI3AEjZ24Q/S0nJ1/D0UqqqXqurm2Cxp2nQUvfCgDw8OYBnPz7M/T5fI+os6GkqAAm1l6wa9gZ5/d+WzsBA7h37SgCdi5ClyHzYOngjZvndmDHsnGY8N0RaEsp78zUWOz8czw8Ww9ArzG/IPbRTRzf9j3UNfTg4tNZlE5ZRQMTFxyXWPflzoCCvCxs+XkwrJ2bYuAXa6GuqYeMlFioqGrVWKwhZ9bh9rlNaDdoEXQMbHAjcBUOrhmNIbOOQUlFQ+o6idEhOPnPNDTpLG6vTv49FX0mb4Xx8/bq4a2juHBwEdr0/RYmNt64d3knDq8bj8Ezxe1kVmoM9v01BK5N+qNx58+hpKKJjKRIyCuU7xMNHVOM/Fay8yvs8r8ICVoPa5fW1bYP6qq8AcDQzBFDpm4U/S2o7e/32XW4c34T/D9eBG0DG9wMXIWj60bj45nHoKQsvfyTnoQgcNs0+Hb6ArYNOiIqLACntk5Fr0+3SrRjbs2HwNCi4fN27DccXTcWA6aL27HstBgcXDUEzo37w7djeflnJkdCvsI+qgktXAVo5iLAwctlSMsRonUDOQxtK48VR0pRVCJ9HXN9oF9LOQTdKcP9WCFcLAXo11IOm06Vin7MqygCIzvIIzpZiO1BpcgrBHQ1BCgsFm8nPUeI49eFyMgVQlEeaOoih6H+8vjrcCnyC6snvgc3j+LcvkXw7z8PZrbeuHtxBw6uHodhs49UcZ4ai4NrxsO92QB0HvYLnkbdRNDu76GqoSc+T40KwbHNU9Gs6/9g79EBkaGncGzTFPT/YhtMbMrL/UbgWty5uAMdh/wEfRMHJMXexants6GsqglPvxEQCoU4vG4y5OQV0H3sCigpayAkaBP2rRiFYV8dkTiXJXpXnDJQC3JycjB06FCoq6vD1NQUv/32G/z9/TFlyhQAQFFREWbNmgVzc3Ooq6ujadOmCAoKEq2/adMm6Ojo4MSJE3B1dYWGhga6dOmChIQEUZrS0lJMmzYNOjo60NfXx6xZsyAUSvbACoVC/Pzzz7Czs4OqqioaNWqE3bt3i94PCgqCQCDAiRMn4OvrC2VlZZw/Xz1X1W4FbYJb035o0GwA9Izt0abPHGjomOBO8Hap6e9e3AFNHVO06TMHesb2aNBsANya9EXIGfFJ/q2zW2Dp1AK+HSZAz9gOvh0mwMKpGW6d3SxK02vCOrg26Qt9U0cYmrugw+BFyMl4iuS4MInPk1dQgrqWoeiloq5TLXFXt5QT5/Bg3u9I3B9Q11l5a0KhEHeDt8Cz7QTYuneCnokT/AcsRknxM0TeOlzleneDt8DcoQU8/cdDx8gOnv7jYW7fDHeDt4jSdB29Fk4+faBn7Ah9Uxf49V+I3MwEpMaLyzk55hYcvXvBzK4JNHXN4drkY+ibOCM17m6Nxn3zzEa4N+uHhi0GQN/EHv79voamrglCL0iv+6EXdkBL1xT+/b6Gvok9GrYYgAbN+uLGaXHd7zpiCRq1HgojC1foGdujw+AfICwrQ8yDS6I0tm5+aNl9KhwbdarR+Kpy8cRmeLfpC1+/ATAys0e3oXOgpWeCq6d3SE1/9cwOaOubotvQOTAys4ev3wB4t+6L4OPiuGMjb8HK0RuNmneHrqE5HNxbomHTj/A0WvL7LCenAE0dQ9FLXUuvRmN9WU3Wc2vXtrBy8YOOoS10DG3RuPMUKCqpITnmtiiNo3cveLefDHOHFjUaZ0VXAjbCs1U/eLUeAANTe3Qa+DW0dE1w86z0en7z7A5o6Zmi08CvYWBqD6/WA9CoZV9cDtggmVAggIa2ocTrZZdOrIWWrgl6jFwEc1sP6BhYwNa1OXSNrGokTqFQiNDzW+DTfiLsG3aCvqkT2g9ajJKiZ3gYUnX53j6/BZaOLeDTfgJ0jezg034CzB2b4fZ5cXt1++wmuDbpB7em5e1kq17l7eTdS+J9eOX477B28UOL7jNhaO4GbX1L2Lj5Q01TH0B555ealqHEK+ruKTh4doViFZ1R76Kuyhso7wB4+X11zdr9ft+5sAVe7SaKvt9tB5Z/vx+9ovzvXNgCC4cW8Go7ATpGdvBqOwHmDs1w54K4/LuNWQdn377QM3GEvpkL/AYsQm7mU6S+dL5y9fjvsHT2Q7NuM2Fg7gYtfUtYufpDVUO/RuMGgCbOcrgQVob7cUKkZAEHLpdBUQFwt676Sm5TZzk8ThQi+J4QaTlA8D0hopKEaOos/vnRwk0O2fnAoStleJoOZOUB0UlCZOSKt3P3Sfl6mXlASjZw8mYZVJQEMNKpvqvIIUEb0aBpP7g3HwA9E3u06fs1NHSqbqvvBj8/T+37NfRM7OHefADcmvbFzdMvn6duhpVTCzTuOAF6xvZo3LHyeWpC9C3YubeHbQN/aOlbwNGzC6ycWyEptvzcJDMlGolPbqHtgO9gbOUBXWM7+A+Yh+LCfETcPFJt8ZNsY4dALZg2bRqCg4Nx8OBBBAQE4Pz587h586bo/VGjRiE4OBg7duxAaGgoBgwYgC5duuDhw4eiNPn5+fj111/x999/49y5c4iJicGMGTNE7y9ZsgQbNmzA+vXrceHCBaSnp2Pfvn0S+fjmm2+wceNGrFy5EmFhYZg6dSqGDRuGs2fPSqSbNWsWFi1ahPDwcHh4eOB9lZYUITkuDFbOLSWWWzm3REJ0iNR1EqNvVU7v0grJsWEoLS2uOo1zKyRG36oyL4UFOQAAFTVtieXxj65i3dwW+HthZwTunIv8nGoeh0bIyYhDQU4qLBzFZSavoART28ZIeiK9HgBAUsxtWDhK/rixcGqJpJiq1yl6Vl7Oyqricja29sGT8DPIy0qCUCjE08gryEqNhoVTq3cN6bVKS4qQFBsGaxfJz7ByaYmnUdLznxB9C1YukvXaxqU1kmLuiup+RSVFBSgtK6lUr+tKSUkRnkaHwcFdMg4H95aIfSQ97thHtyqnb9gS8dFhKC0pj9vK0RtPo8MQ9zgUAJCeHIsHoefg5OEnsV5a0hP8PKUNlszogJ0rpiE9Oba6Qnut2qrnZWWliLx9BMVF+TC28qyWvL+r0pIiJMSEwdZNsp7bubVEXKT0/Mc9vgU7N8nytmvQGgnRd0XlDQBFhfn486u2WDarDXb+OQGJMfck1nl4+zRMrd2xZ9UX+G16c6xb0Bsh5/+tpsgqy06PQ35OCiydJcvXzL4xEqtozwAg6cktiXUAyfaqtKQIKfFhsHSSTGPp1BJJz7crLCvDk/Ag6Bja4NCaMdg4rwV2//ExHt89VeXnJsfdRerTcLg26fe2oVapLssbADKSn+CPma2wfHY77FszFRkptfj9To9DQU5K5e+33Wu+309uwbxC2Vo4tULSk1tVriNqx54f14VlZYi9HwQdAxscXTcGW+a3wL7lHyM6rOryry466oCmqgCPE8UXmkrLgCfJQlgYVv2j3MJAch0AeJwghIWBeB0ncwGepgvRr6UcpvWRx7gu8vCyr3qbcnKAt4MAz4qESMoQVpnubYjOU6W01VWdp0prq61dWiM5VtxWl6dpVSnNy9s0s/NB7IPLyEiOAgCkxN/H08c3YOPqJ8obAIlRIHJy8pBTUETC4xvvEu4HQSAnqLev/yJOGahhOTk52Lx5M7Zt24b27cuHJW/cuBFmZuXDjyIjI7F9+3bExcWJls2YMQPHjx/Hxo0bsXBh+TD24uJirFq1Cvb29gCAzz77DPPnzxd9zu+//47Zs2ejX7/yRn/VqlU4ceKE6P28vDwsXboUp0+fRvPmzQEAdnZ2uHDhAlavXg0/P/EJ9fz589Gxo+S8xvdRkJcBYVmp6ArGC6qa+sjPTpW6Tn5OClQ1JQ+iapr6KCsrwbPcDKhrGyE/J7XSNtU09ZGXnSJ1m0KhEBcOLIaprQ/0TZ1Ey61d28ChURdo6ZkhOy0Ol48tw74VIzFo+h7IKyi9S8gkRUFOeVmrahhILFfV0EdO5tOq18tNlbKOAfJzpNcdoVCIy0d/grGND/RMxOXcosccnN/7LbYt9odATgECgQBt+i6AiY3Pu4b0WlXVfXVNAzzJkV5P87JTYaMpGe+Lul+QmwENbaNK61w4uAQa2sawcq7dq8JVyc/JRFlZKTS0JOPQ0NJHTpb0csvNSoWGln6F9AYoKy1Bfm4GNHWM4NHsI+TnZGDdj8MghBBlpSVo0m4Q2nQfJ1rHwt4D/cYthr6JDfKyUxF0cBXW/jAEny88CDUN3eoPtoKarufpiQ9wYOVglJYUQlFJDR2H/QldY4dqyv27yc8tr+cVy09dywC5VRyP87JSod6gcv0oKxOXt4GJHXqMXAQjc2cUPsvFtcAt2PzTYIz79gD0jG0AABkpsbhxdjuadhyFlt0m4mlUKE7u+AHyCkrwaN67+mN9/r1Vq3BFVk1DHzkZVZdvfk5qpau4qhr6ou09e36sUJXSpsU+rwMFuWkoLszHzdNr0bTr/9D8oxmIiTiP45s/R6+Jm2Fu36TS54Zf2QNdI3uY2ni/fbBVxVKH5W1m64Geo36CnrEN8rLTcOHoSmz+aRDGf3e4Vr7fL8qrYjmpaugj9xXlX5CbKrXO5FfRDgiFQlw6vBgmL7VjBXlpKC7Kx62gtfDt/D806TYDcRHncfLvz9F9/GaY2VUu/+qioVr+b+4zyeV5zwDtVww80VApT1NxHQ0V8d+6GoCvowCX7wsRfK8UZnoCdPaWQ2lpGUKjxT/4Hc0E6NtCDooKQE4B8M+ZUhQUvWdgz1XVVqtpGiC/ijpdfg4qva1+m/NUn/bjUFiQg78XdYWcQB5lwlI07zYVzj7dAQC6xnbQ1DXHxcNL0O7j+VBUUkVI0CbkZ6dUeb5L9LbYIVDDHj9+jOLiYjRpIj5Qa2trw9nZGQBw8+ZNCIVCODk5SaxXWFgIfX3xQURNTU3UGQAApqamSE5OBgBkZWUhISFB9EMfABQUFODr6yuaNnDv3j08e/as0g/9oqIieHl5SSzz9a36Biov8lZYKDlpq7hYCYqvm8MmkNKrJm2Z6C3J90QzIF5aXjFNVcsA4OyeBUh9GoH+X2yTWO7k1U30f31TJxhZumPTgvaIuhcEB4+6GW79X/Ao5BDO7/9O9HeXESsBABVLRwghBJWWVlThfaGwynK+eHAB0hMi0GPiVonlYRf/QXLsbXQavgIaOmZIjLr+/B4ChjU/vLpSXRai8p6QWEEyPYTPN1N5nWun1uL+zSMY8PmWSnNt61ylYntNWVfcTxB96QEAUeFXcfbQanQfPhcWdo2QnvwER7cugob2CrTtNQkA4OTR5qUtOMHSwRO/zeyMkAsH0LLLyPeLR4rarufaBjbo+/leFD3LQdTdkzi7eza6j9tS550C5SrX87cqb6FkPTe384S5nafofUt7b6z7oQ+unfkHnQd9I1rH1NodbftMAwCYWLkhJeERbp7dXi0dAg9uHkLQ7nmivz8as0p63qUsq+hN2quK+6t8lwie/78MAGDr3g6N2owEABiYuyIxOgRhl3ZU6hAoKS6fxuDb4dNX5uvd1X55OzSUHA1kbu+JFV93xJ1L+9G046h3DaRKD0MO4fxecfl3GVVe/pXiFOK15S+tzlTVjgUfWID0xAj0nCg+X3lR/tYN2sGj9UgAgIGZKxKfhCD88o5q7RBwtxbgo8biQcTbz5aKM13B667Rv+59AYCn6eU3GwSAxAwhDLWF8HGUQ2h0qShddJIQa46XQk0Z8LKXQ7+W8thwsvruISDOzcuZr/pcQ1p60VRdiXWkfE9eev9hyFFE3DiILp8sgZ6JA1Liw3F+3yJoaBvBtUkfyMsr4qPRy3Bq+9dYM6cJBHLysHRqDmvXNiCqLuwQqGEVG7yKy8vKyiAvL48bN25AXl7yxjgaGuKb0ygqSt7kTiAQVLpHwKuUlZUfaI8cOQJzc3OJ95SVJX9EqKu/ep7hokWL8P3330ss6zrkW3Qb+p3U9KrquhDIyVcaDVCQk1ap5/QFNU3Dyulz0yAnpyCa36+maYC8Cmnyc9Iq9dgC5Z0BUWGn0fezf6ChY/Kq8KCubQRNXTNkpTx5ZTp6NSu3duhrKZ5yUlpa3pWfn5sKNS3xVe5nuemvnP+oqmGAglzJXvCCvDSp6wQf/AFPws+g+/i/oaEtLueS4me4dvJ3dBy2DFYu/gAAfVNnpCWEI/TcxhrrEKiq7ufnSq+nQPlVtrwKV40KctIl6v4L1wPX41rAavSdvBGG5i7Vmvf3oaapAzk5eeRWGA2Ql5MODW3pZa2hbVA5fXYa5OQVoKahAwAI3LcMjVr0hK/fAACAiaUTigoLcHDTPPj1mAg5ucqz4JSU1WBs6Yi0pOj3D0yK2q7n8gpK0DawBgAYWrgjJe4O7l78G637SB6Ta5OaRnk9z5VyPFbXqqKeaxsgL0sy3rzn9Vy1inu4COTkYGbTEOkvlaWGtiEMzOwl0hmY2OH+zROoDjZubTFw2kvl+3z4bn5OKtRfKt+C3LRKV4BfpqZZebRHQW6aaFSIyotjhZQ0L9pJFXVdyMkpVOr80TWyR0J05aHDkaEnUFL8DM6+vd8g0jdXl+VdkZKyGozMnZCeXHWa92Ht1hZGltLL/+Xvd1Vt0gvSRvu8XP4vCz6wAE/unUaPiZLnKypquhDIKUDXqHL5J0op//fxIF6I+DTxj3GF54dWDVXJUQLqUkYAvCy3wmiAF+u8vI2cZ0BqtuT5bGp2+Q0IX1ZcWv6UgoxcID6tDJO6l08tCL73/tMGVKv4/uXnpkG1ira6/Dtd4Zidm17pPLVyuadLtP8XDv4Mn/bj4eT9EQDAwMwZORlPcf3Uarg26QMAMLJ0x5BZB1BYkIPS0mKoaehh59IBMLKqmSep1AcCKe051Rzu7Rpmb28PRUVFXL16VbQsOztbdH8ALy8vlJaWIjk5GQ4ODhIvE5NX/3B9QVtbG6amprh8+bJoWUlJCW7cEDcQbm5uUFZWRkxMTKXPsbS0fKuYZs+ejaysLIlXx48rPyroBXkFJRhZNEDsg4sSy2MeXISpjZfUdUxsPBFTMX1EMIwsG4ieAGBi41l5mxHBMLHxFP0tFAoRtGc+Iu8EoM+kTdDWt3htfAV5GcjNTICaVuWbGdGbU1JWh7aBteila+QAVU0DxD8Ul1lpSRESoq7B2Fp6PQAAY6tGEusAQNzDizC2Eq8jFAoRfGABosMC8NHYjdDSkyznstISlJUWQyCQPOQJ5ORFV11qgryCEowtG+BJhOQjsWLuX4SZrfSYTW08EXNfMt4n9y/A2Mpd4ukX1wPX4cqJFegzcR1MrBpWf+bfg4KCEsxsGiAyTDKOyLCLsHSQHrelg2el9I/uBsPcpgHkFcrjLi4sqDR/T05O/nnnqPSTwpLiIqQ8fQxNnZr5PtdmPa/Kix8pdUVeQQmmVg0QdU+ynkeFX4SFvfT8W9h5IipcMt6oexdgauMuKu+KhEIhkmLDJW40Z+ngjfTEKIl06UnR0NYzr7j6O1FS0ZAsX2MHqGkaIu6BZPk+jbwGkyraMwAwtq7cXsW+1F7JKyjB0LxyOxn34CKMn29XXkEJhpbuyEyWjDczNVrqXdDDr+yGjVtbqGpU70336rK8KyopLkJqQuQr07wPJeXK5a+qaYi4it/vx6/5flt7Vvp+xz8IhrG1p+hvoVCIC/vnI+puALqP31SpHSs/l3JHZopk+WelRlf7IweLSsQ/vjNyy2/kl1MghK2J+PgrJwdYGwkQl1L1D/K4VMl1AMDORIC4VPE6cSlC6GtKptHTFCAr79V5FACQr6b53C/OU2MqttURVZ+nmtp4Iiaiwjno/QswshS31eVpKrb/FyS2WVL0rPJIIYG81It+yqqaUNPQQ2ZKNJJj78LOveaekESyhR0CNUxTUxMjRozAzJkzcebMGYSFhWH06NGQk5ODQCCAk5MThg4diuHDh2Pv3r2IiorCtWvX8NNPP+Ho0aNv/Dn/+9//sHjxYuzbtw/379/HpEmTkJmZKZGPGTNmYOrUqdi8eTMiIyMREhKCv/76C5s3b656w1IoKytDS0tL4vW66QKe/iMRdnk37l3Zg/SkSJzftwi5GQlwb1H+jPGLh5fg5NYvRendWwxCTsZTnN+/COlJkbh3ZQ/uXdkDr7ajxdts8wliIoJxI3At0pMe40bgWsQ9uARPvxGiNGf3zEfE9UPoPOxXKCqrI+/5nKuSovLu6aLCPFw48BMSokOQnR6HuEdXcHjdp1BR14V9w9p9ZvubkFdXg1YjF2g1Kr8arGZrAa1GLlCxNK3jnL2eQCCAe8vhuBW0BlFhAUhPfICzu+dAQVEF9p7dRenO/Pslrh5fKvrbveVwxD26iFtn1yIz+TFunV2L+EeX4N5yuChN8IH5eHTrENoN/AWKyurIz0lBfk4KSorLy1lJRQOmto1x5dgvePr4KrLT4/Dgxj48vHkANg1qtpy9247C3Uu7cffSbqQlRiJo70LkZCTAo1V53b9wcAmO/z1LlN6j1SBkZzzF2b2LkJYYWb7u5T3waSeu+9dOrcXFw7+j05CF0NI3F9XrokLxGVRRYR6S48KRHBcOAMhOi0NyXDiy06ue51qdWnQegRtn9+DGuT1IfhqJo9sWISstAU3aDgQAnNy1FLvXiL/zTdoOQmbqUxzbvhjJTyNx49we3Dy3Fy27iON29myLa6d3IPTyEWSkxOHR3WAE7l0GF6+2okcLHt/xM6LuX0VGShxiI29jx/L/obAgF14te9dK3DVZz6+d+A0JUdeRkxGP9MQHuHbidyQ8vgqHl7b7LD8TaU/DkZH0CACQmRqFtKfhVc5Vri5NO47CrQu7cevCbqQmRCJg50JkpSfA26+8np/ZuwQHN4jrubffIGSlPUXAv4uQmhD5fN09aNZRXN7nDi1HZNh5ZKTEIjE2HIc3z0FS7H14v/Ts+iYdRiD+8W0EH12F9OQnuHvlEELO/wvftkNqJE6BQACP1sNxI3A1Ht8JQFrCA5zeORsKSipw9BKXw6ntX+LS0SWivz1af4LYB8G4eXotMpIf4+bptYh7eAmNWovbq0Z+IxF+dTfCr5a3kxcOLEJOZgLcmw0SpfHyH4NHt4/h3uV/kZX6BHcu/IPoe2fg3kIy3qzUJ3gadR1uTQfUyH6oq/I+tesnPIm4iszUWMQ/vo09q79A4bNceDTvUyNxViQQCNCw1XDcOrMaUXfLv99Bu2ZDQVEFDi+V/5mdX+LqMXH5u7f8BHEPg3Er6Pn3O2gt4h5dQsNW4vIP3j8fj0IOod3gX6W2YwDg4TcGj0OPIfxKefnfvfgPnoSfQYNmNVPfX3Y1ogyt3OTgbCGAoTbQq6kcikvKnwDwQq9mcmjXSPzT4uqDMtibCNDCVQB9zfJHF9qaCHAlQtwRfzmiDOYGQEs3AXQ1yqcreDsIcP1heRpFeaCthxzM9QFtNcBEF+jeRA5aakB4TPV16Hv5j0LY5d0Iu7wb6YmROLdvIXIzEtCwZXmdDj60BCf/Eddp95bl56nn9i1CemJk+bpX9sD7pbba0284YiKCcf3UGqQnReL6qTWIrXCeatugLa4FrEJUWBCy0+IQGRqAkKCNEuegD28dQ9zDK8hKjUXknVPYt2I07Bp2qHTDYqJ3xSkDtWDp0qWYOHEiunfvDi0tLcyaNQuxsbFQUSkfR7Vx40b88MMPmD59OuLj46Gvr4/mzZujW7dur9my2PTp05GQkICRI0dCTk4Oo0ePRp8+fZCVlSVKs2DBAhgZGWHRokV4/PgxdHR04O3tjTlz5lR7zBU5eXXDs7xMXD3xF/KyU6Bv6oge41dD6/lVnLzsFIkb8mjrW6DnuNU4v38xQi9sg4a2Edr0+Vr0bFcAMLX1RpdPluDSsT9w+dgyaOtbovOIpTB5/kxnAKLHGu79S3xSDQAdBi+Ea5O+kBPIIy3hAe5fLx+Kpa5lCHOHJugy/Lcqnyddl7R93NE88G/R326/lpdd7Ja9CB1T9SiN+qJRm7EoLS5E8IH5KCrIhqGlB7qOXifxbPa8zASJK/nG1l5oN2gJrgf8gRsBf0JLzxLtBy8RPbsZAMKvlD/K7vBacSMLAH79F8LJp/xEsd3gJbh24jec2TkThflZ0NA1g2+nKXBtOgg1ydm7G57lZeDKiRXIy0qGvqkTek9cI1H3czLEjxDV1rdEnwlrcHbfItw+vxXq2kbw7/c1HD3FdT/0wnaUlhbj8IYvJD6rWZfP0Lzb5wCApJi72P2nuN6f3bcIAODWpA86D1tcY/G+0LBpN+TnZiLowArkZKXA2NwRn0xbBR2D8rhzM1OQlSaOW9fQAp9MW4Vj2xfjSuA2aOoYodvQOWjQWHwfD7+eEwGBAIF7lyE7Iwnqmnpw9vRHh35TRGmy0hOxa9UM5OdkQk1TF5b2jTB+7g7R59aGmqrn+bmpCPr3S+TnpEBJRRN6Jk7oMmqNxB3PY8LP4Oxu8TH99PbpAADv9pPh0+GzGovZrXE35Odl4MKRFcjNSoahmRMGfb4G2vrPyzsrBVnp4vLWMbDEwM/XIODfRbgRtBUa2kboNOhriWfSF+Zn4+jf3yIvOwXKqpowsXTDJzP/gbmteAi3mY0H+k9ajjN7l+L84b+gY2CBjgPnwL1pzxqL1avtWJQUP8O5vfNRWJAFYysP9Bi3XqLNyM14KnHVz9TGG52GLsGV43/g6oll0NK3RMdPlsL4pfbK0bMbCvMycT3geTtp4ojuY1ZD86XRDnYNO8Kv33e4eXoNzu//ETpGtugyfBlMbSVvjhp+dQ/UtYwrPbWgutRVeedkJGL/umnIzy3/fpvbemLkV/+KPrc2NPIrL/8L++ejqCALRpYe6DZ2PZSUXyr/TMnyN7HxRvvBS3Dt5B+4fnIZtPQs0WHoUonv973L5ecrh1dLnq/4DVgIZ9++AABb945o1ec73DqzBhcP/ggdQ1t0HLYMJhXKvyZcDBdCQV6Irr5yUFUC4tOArUGlKCoRp9FSk5zOGpcK7L1YBn8POfg3LB9tsDe4DE9fepBTQjqw63wZ2jWSQxt3IDO3/LGCLzoayoSAgRbgYSsPNWWgoBB4mi7EplOlSMmuvvicvLvhWX4Grp5Ygbzs8ra65wRxW50vpa3uOX4Nzu9fhNAL5XXar6+U89ThS3H56O+i89QuI36DiY243P36fYPLR/9A0O7vkZ+bBnUtIzRsMRBNOk8WpcnLSsH5/YufT8sxhEvjXmjSaVL1BV8P/Vfv5l9fCYRvMxGdqkVeXh7Mzc2xZMkSjBkzpq6zUy2WH5XNamTbq/7M265N4TvD6zoLdUJDXTYHVelp1dy0ivosJuH1af6LjPRls55nZMtmO6arJZsn3inV9Mi6D01+QenrE/0H6enI5jXQyV3rOgfvJnpsr7rOQpVs1h2o6yxUO9n8dtSykJAQ3L9/H02aNEFWVpbocYG9etXfyk5ERERERET/bewQqCW//vorIiIioKSkBB8fH5w/fx4GBtLvXEpERERERCSLOGWgdrFDoBZ4eXlJ3PGfiIiIiIiIqK7J5kRBIiIiIiIiIhnHEQJERERERERULwjkeM26NnFvExEREREREckgdggQERERERERySB2CBAREREREVG9IJAT1NvX21qxYgVsbW2hoqIietLcq2zduhWNGjWCmpoaTE1NMWrUKKSlpb3rrnwj7BAgIiIiIiIiqkY7d+7ElClT8PXXXyMkJAStW7dG165dERMTIzX9hQsXMHz4cIwZMwZhYWHYtWsXrl27hrFjx9ZoPtkhQERERERERFSNli5dijFjxmDs2LFwdXXF77//DktLS6xcuVJq+suXL8PGxgZffPEFbG1t0apVK0yYMAHXr1+v0XyyQ4CIiIiIiIjqBYGcXL19FRYWIjs7W+JVWFhYKYaioiLcuHEDnTp1kljeqVMnXLx4UWrcLVq0QFxcHI4ePQqhUIikpCTs3r0bH330UY3s5xfYIUBERERERET0GosWLYK2trbEa9GiRZXSpaamorS0FMbGxhLLjY2NkZiYKHXbLVq0wNatWzFw4EAoKSnBxMQEOjo6+PPPP2sklhfYIUBERERERET0GrNnz0ZWVpbEa/bs2VWmFwgkb0QoFAorLXvh3r17+OKLL/Dtt9/ixo0bOH78OKKiojBx4sRqjaEihRrdOhEREREREdGbquIHc32grKwMZWXl16YzMDCAvLx8pdEAycnJlUYNvLBo0SK0bNkSM2fOBAB4eHhAXV0drVu3xg8//ABTU9P3D0AKjhAgIiIiIiIiqiZKSkrw8fFBQECAxPKAgAC0aNFC6jr5+fmQk5P8eS4vLw+gfGRBTWGHABEREREREVE1mjZtGtatW4cNGzYgPDwcU6dORUxMjGgKwOzZszF8+HBR+h49emDv3r1YuXIlHj9+jODgYHzxxRdo0qQJzMzMaiyfnDJARERERERE9YJArv5OGXgbAwcORFpaGubPn4+EhAS4u7vj6NGjsLa2BgAkJCQgJiZGlH7kyJHIycnB8uXLMX36dOjo6KBdu3b46aefajSfAmFNjj8gmbH8qGxWI9teLnWdhToRvjO8rrNQJzTUZXNQlZ5WWV1noU7EJNR1DuqGkb5s1vOMbNlsx3S1/hsn3m8rJUM2yzu/oLSus1An9HRk8xro5K51nYN3E/+/gXWdhSqZ/7GzrrNQ7WSz1SciIiIiIiKScbLZXUZERERERET1jkCO16xrE/c2ERERERERkQxihwARERERERGRDOKUASIiIiIiIqoX/itPGfhQcIQAERERERERkQxihwARERERERGRDOKUASIiIiIiIqoX+JSB2sW9TURERERERCSDOEKA6D2E7wyv6yzUCdeBrnWdhTphEx5U11moE2Uy2nfc7eaSus5Cneiy8aO6zkKdGDrZr66zUCcamKbXdRbqhJ6FbMadK9Ss6yzUiRKhfF1noY4Y1HUG6APADgEiIiIiIiKqF/iUgdolm5d9iIiIiIiIiGQcOwSIiIiIiIiIZBCnDBAREREREVG9wCkDtYsjBIiIiIiIiIhkEDsEiIiIiIiIiGQQpwwQERERERFR/SDHa9a1iXubiIiIiIiISAaxQ4CIiIiIiIhIBnHKABEREREREdULAgGfMlCbOEKAiIiIiIiISAaxQ4CIiIiIiIhIBnHKABEREREREdULAj5loFZxbxMRERERERHJIHYIEBEREREREckgThkgIiIiIiKiekEgx6cM1CaOECAiIiIiIiKSQewQICIiIiIiIpJBnDJARERERERE9QOfMlCruLeJiIiIiIiIZBA7BIiIiIiIiIhkEKcMEBERERERUb3ApwzULo4QICIiIiIiIpJB7BAgIiIiIiIikkGcMkBERERERET1gkDAa9a1iR0CVGtCL2xDyJn1yMtOgZ6JA1r3ngNze98q08c/uorzBxYjPfER1LWM4N1uLBq2HCSR5tHtE7h8bBmyUmOgbWCF5t2mwN6jo+j9O8HbcSd4O7LT4wEA+iYOaNx5Mmxc24jSBGz7Cvev7ZfYrrF1I3w8ZWc1RC2dUCjEzcC/cP/qvygsyIaRpQda9JoLPWPHV64XdfckrgcsQ3ZaDLT0reDb6X+wbSCO91bQGkTdDUBWymPIK6rA2NoLTbpMh46hrShNcWEerh5fiif3AvEsPxOauuZo0GIY3JoNrrF435deK1/YTR8DbW93qJgZ4Xq/SUg6GFjX2Xpnxw7vx4G9O5CRngZLK1uMHv8Z3Nw9pKa9HHwOx48eQPTjRyguLoaltQ0GDhkJL58mEukO7d+FE0cPIjUlCZpa2mje0g/DRo6DkpJybYT0Ro4f3oeDe7cjIz0dllY2GDn+c7i5N5Ka9nLwWZw8egDRjx8+j9sWHw8ZBc8Kcefl5mDblrW4cvEc8nJzYWRsghFjJ8O7cfPaCOmN/Bsahb9vPkJq3jPY6WliRpuG8DLXrzJ9UUkp1l6NwNGIOKTlFcJIQwVjGjuhVwNrUZptIZHYfScKiTkF0FFVQnsHM3zWwg3KCvK1EdIbGz3YGj07m0JTQwH3HuRg6aqHiIrJrzJ9m+YGGD7ACuamqlBQECDuaQF27I/FiTPJEukM9JTw6Ug7NPPRg7KyHGLjC7B4WQQiInNrOqRKbp/fihuny9s2fRNH+PV9ddsW9+gqzu1bjLTEh1DXNoJvu7HwaCU+/qYlPMSlo8uQFBeGnPR4tOkzG97+I6vc3tWA1bh4eCk8/YbDv+/X1RnaWwk4sgeH925FZkYazK1sMXzcFLg08JSa9urFIJw6thdPHj9ESXERzK3s0G/IGDTybiY1/cVzAVj+y7fwadoG07/5qQajeHuHDh/G7j17kZ6eDmtrK0wcPx7u7u5S094NC8OGDRsRGxeHwsJCGBkZoVvXLujbp48ozYXgYOzc+S+eJiSgpKQE5uZm6NunLzq0b1dbIb2R6j6ef/vVF7h351aldb19m2HO9z/XVBhv7eSRvTi0dxsy09NgYWWL4eO+gKu7p9S0Vy8GIeDoPkQ/foSS4iJYWNmi/5AxaOTTVJQm6NQRrPp9YaV1t+w9Xa/ab/pvY4cA1YoHIUdxfv8i+Pf/Fqa23rh7cScOrRmPoV8dhqauWaX0WWlxOLh2Aho0G4BOw35BQtRNBO2eD1UNXTg06gwASIgOwfEt09Cs6xewa9gRj+8E4Pjmqej3xVaYWJc3ShraxmjRfTq0DawAAPev7ceR9ZMxaPpe6JuKf3xbubRGh8HiA7K8vGJN7g7cPrcOdy5sgl//hdA2sEHImVU4tn4MBkw/BiVldanrJD0JQeD2afDt+AVs3Dog+t4pBG6bhp4T/oGRVXm8CY+voUHzITCwcIewrBTXTvyOYxvGoP/Uw1BUUgMAXDqyGAmRV+E/8Gdo6poj7mEwgg/Mh5qWEWzc2tdo3O9KXl0N2aERiNu8Fz67ltd1dt7LhXOnsXHtcoybNAWurg1x4vhB/DBvFv5YuRmGRsaV0oeF3UYjL18MHTEO6uoaOH3qGBbNn4PFS1fCzr68Dp89E4B/Nq3B5ClfwsW1AZ7Gx+HP3xYDAEaP/6xW46tK8LlAbFr7J8ZOmgYXV3cEHD+IhfNm4beVW6TGHR52Gx5evhjyUtyL53+FhUtXwc7eCQBQXFyM+d9Mh7a2DmbMWQB9A0OkpiRDVVWttsOr0skH8Vhy7g6+8m8ETzM97Lkbjc8PXsKuYe1gqik9n18du460/EJ8294TljoaSM8vRKlQKHr/6P1Y/HnxHr7t4IVGpnp4kpGL707dBABMb9OwVuJ6E0P7WWJgbwv8+HsEYuPzMWKgNX6b74HBn15DQUGp1HVycoqx5d8neBJXgOKSMrRsrI/Z/3NBRmYxroZkAAA01RWw8mcv3LyTiRnf3UFGVhHMTVSRk1dSm+EBACJuHsXZfYvQbsA8mNl6I/TiDuxfNQ6fzD4CLT1pbVss9q8eD/fmA9Dlk1/wNOomTu/6HqoaenD0LG/biosKoG1gAUevLji7b9ErPz/xSSjuXtwJAzPnGonvTV06fwpb1v2O0RNnwsnNA4HH9+Gn76bhl7+2wcDIpFL6+2EhaOjZBAM/mQg1DU2cPXUYvy6YiQW/roONvWQsKckJ2Lbhzyo7F+rS2bPnsHrNWkyeNAkN3Fxx9NhxfPPtPKxZtRJGRkaV0quoqKBHj+6wtbWFiooKwsLCsOzP5VBRUUG3rl0BAJqamhg0aCAsLSygoKiIq1euYulvv0FHRxu+Pj61HaJUNXE8n/n1DygpLhatk5uTjemfjUbzVm1rLa7XuXjuFDav/QNjPp0OZzcPnDq2H4u/m4ElK/6RWs/D795CQ88mGDR8ItTUNRB06gh+XjALPyxZC9vncQOAqpo6flu9XWJddgZQbeJ4jA/c8ePH0apVK+jo6EBfXx/du3dHZGSk6P2LFy/C09MTKioq8PX1xf79+yEQCHDr1i1Rmnv37qFbt27Q0NCAsbExPvnkE6SmplZrPm8FbYJb035o0GwA9Izt0abPHGjomOBO8Hap6e9e3AFNHVO06TMHesb2aNBsANya9EXImQ3ibZ7dAkunFvDtMAF6xnbw7TABFk7NcOvsZlEaW/d2sHHzg66RLXSNbNH8o6lQVFZD4pPbEp8nr6AEdS1D0UtFXada43+ZUCjE3eAt8Gw7AbbunaBn4gT/AYtRUvwMkbcOV7ne3eAtMHdoAU//8dAxsoOn/3iY2zfD3eAtojRdR6+Fk08f6Bk7Qt/UBX79FyI3MwGp8WGiNMkxt+Do3Qtmdk2gqWsO1yYfQ9/EGalxd2ss5veVcuIcHsz7HYn7A+o6K+/t0L5daN+pGzp27g4LK2uMGf859A2McOLoAanpx4z/HH36D4ajkwvMzC0wbMQ4mJpZ4PqVi6I0D+6HwcWtIdr4d4CRsSk8vRujlV97RD6KqK2wXuvQvn/RrtNH6NC5OyysbDBq/BfQNzDEyaP7paYfNf4L9O4/BA5OrjA1t8TQEeNhYmaBGy/FfTrgKHJzsjFr7kK4uDWEoZEJXBt4wMbOoZaier1/Qh6hVwNr9HG3hu3z0QHGGqrYHRotNf3F6CTciE/Fsl7N0NTKCGZaanA30UUjUz1RmjuJGWhkqoeuzhYw01JDc2sjdHaywL3kzNoJ6g0N6GmOLf/G4NylVETF5OPH3+5DWVkenfwq/1B6IeRuFs5dTsOTuHw8TXyGXYfiERmdCw83bVGaof0tkZxaiEV/RCD8YQ4SkwtxIzQTTxOf1UZYEm4GbUSDZv3g3nwA9Ezs4d/3a2jomiC0irYtNHgHNHVN4d/3a+iZ2MO9+QA0aNoXN15q20ysPdC615dw9v4I8gpKVX52UWEejv89Ex0G/QBlNe0q09WGo/u3w79jD7Tt3BPmljYYPm4q9A2McOrYXqnph4+bih79hsHeyQ2mZpYYNPxTmJha4ubVCxLpykpL8dev36HfkLEwMq7cwVLX9u7bh86dOqFrl86wsrLCxAnjYWhogMNHjkpN72Bvj7b+/rCxtoaJsTHat2sHHx9v3L0rbqMbeXigZYsWsLKygpmpKXr37gVbW1uEhd2rrbBeqyaO55qaWtDV0xe9bodcg7KyMpq39q+doN7Akf070bZjd7R7Xs9HjJ8CfQMjBBzdJzX9iPFT0LP/UNg/j3vwiIkwNbOoVM8FAgF0dPUlXjJPTlB/X/9B7BD4wOXl5WHatGm4du0aAgMDIScnhz59+qCsrAw5OTno0aMHGjZsiJs3b2LBggX48ssvJdZPSEiAn58fPD09cf36dRw/fhxJSUn4+OOPqy2PpSVFSI4Lg5VzS4nlVs4tkRAdInWdxOhbldO7tEJybBhKS4urTuPcConRt6Rus6ysFA9uHkFxYT5MbTwl3ot/dBXr5rbA3ws7I3DnXOTnpL1FhG8nJyMOBTmpsHAU511eQQmmto2R9ET6/gCApJjbsHBsIbHMwqklkmKqXqfoWQ4AQFlVfLJobO2DJ+FnkJeVBKFQiKeRV5CVGg0Lp1bvGhK9oeLiYkQ+ikAjr8YSyz29G+N+eFgVa0kqKytDQUE+NDQ1Rctc3Roi8lEEHkaEAwASE57i5rXL8PGVPvy2thUXF+PxoweV4m7k3RgR4W/WEVVWVoZnFeK+fuUCnFwaYN2K3zBmaC9MnTQCe3b+jdJS6Vefa1txaRnuJ2ehmZWhxPJmVkYITUiXus7ZqES4Getg842H6LL+BPpsOYXfzt/FsxJxTJ5meghPzsTdxPIr5nFZeQiOTkIrm8pX5uqKmbEKDPSURVf1AaC4RIhbdzPh7qL1xtvx8dCBlbkaboVliZa1bKKP+49ysOBLNxz6uzk2/O6NHp0qX52raaUlRUiODYO1s+Sx09q5JRKiqm7brCu0W9YurZEcc1fUtr2pM7vmw9bND1bOLV6fuAaVFBcj6lEEPLwkp/M09GqKB+F33mgbL77f6pqSdWPvjg3Q0tZB2049qy2/1aW4uBgPHz2Ct7eXxHJvL2+Eh4e/0TYeRUYiPDwcDRtKH9kjFAoRcusW4uLi0LCKaQi1raaO5xWdPnkELdu0h4qK6nvlt7pUVc89vJrgwf03j7ugoADqGpL1/FlBAT4b1ReTRvTGT9/PRFTkg2rLN9Gb4JSBD1y/fv0k/l6/fj2MjIxw7949XLhwAQKBAGvXroWKigrc3NwQHx+PcePGidKvXLkS3t7eWLhQPFx+w4YNsLS0xIMHD+Dk5IT3VZCXAWFZKdQ0JXs8VTX1kZ8tfSRCfk4KVDUlT7LUNPVRVlaCZ7kZUNc2Qn5OaqVtqmnqIy87RWJZ6tMI7P5jMEpKCqGopIaPRi+Hnon4CqK1axs4NOoCLT0zZKfF4fKxZdi3YiQGTd/zyqsz76ogpzxmVQ0DieWqGvrIyXxa9Xq5qVLWMUB+jvR9KBQKcfnoTzC28YGeibgcW/SYg/N7v8W2xf4QyClAIBCgTd8FMLGpH0MR/8tysrNQVlYGHR1dieXaOrrIzJD+A7Gig/v+xbNnz9CitXgYZSu/9sjKysLXsz6HUChEaWkpOnfrhb4fD63W/L+r8rhLoV0pbr03jvvQvp3P4xbPo01KTMDdpBC09u+AOd/9jISncVi38jeUlZZiwJCR1RnCO8ksKB/qr6+mIrFcX00ZafnSr2bHZ+Xj1tN0KMnL49ePmiDzWREWn7mN7MJizOtQ/sOjs5MFMgqKMGb3eQgBlJYJ0b+hDUb5vv/xurro6ZYfO9MziySWZ2QWwdhIRdoqIupq8ti3qTmUFAUoLQOWrnyI67fEHQtmJqro3VUVO/fHYcuuGLg5aWLKeAcUFwtx/ExS9QdTBVHbplWxHTJAfk6K1HXyslNh7SJ5HFfTkmzb3kTEzSNIjruHwdN3v1vmq1FOdubz77eexHJtHV1kZb7Z9/vI/m0oLCxAs1biaWsR924jKOAQFv6x5RVr1p3s7GyUlZVBV0dHYrmurg7SMzKkr/TcsE+GIysrC6VlZRg6ZAi6duks8X5eXh6GfjIcxcXFkJOTw2eTJ1XqeKgrNXU8f9nDiHuIeRKFT//3pdT360L2i3quW6Ge6+oi8+abXUQ6sm87Cp8VoHlrcT03t7DGp1O/hpW1HfLz83Ds4C7MmzURPy3bDFNzy2qNgagq7BD4wEVGRmLu3Lm4fPkyUlNTUVZWBgCIiYlBREQEPDw8oKIiPvlq0kSyZ/PGjRs4c+YMNDQ0pG5bWodAYWEhCgsLJZYVFytBUfE1850EUobZSFsmekvyPdEU2peWV0wjbZmukS0GzdiHwoJsRIaeRMC2r9Dvs79FnQJOXt1EafVNnWBk6Y5NC9oj6l4QHDw6vTqmN/Ao5BDO7/9O9HeXESvL81khnRBCCCotrajC+0Kh1H0AABcPLkB6QgR6TNwqsTzs4j9Ijr2NTsNXQEPHDIlR15/fQ8AQ5g51e6VJVlQqM6HwVV8FkfNBgdi5dRO+mvuDRKfC3dAQ7Nn5N8ZNmgInZzckPI3HhjV/4t/t+vh48PBqzv27kxb3mwR+IegU/t26EV/OXShxEiosK4O2jg4mfD4T8vLysHd0RkZ6Kg7s2V4vOgRekPZdryruMqEQAgA/dPaBpnL5vUymtXbHrKPX8KW/B1QU5HE9LhUbrj3AV/6N4G6ii9isXPx69i4M1CMwrkndzCXv6GeEmZPF7cWs+c+vDAsrJBQIKi+rIL+gFKP+dx2qKvLwbaSLz8bY42liAULulo8SkBMA9x/lYM3fUQCAh49zYWOlht7dzGq1Q0CscglXXvZycinfA2nLq5CTkYCze35En0kboPC6drc2VYrrzVa7ePYk9m5bj2nf/CTqVCjIz8OKJd9j7GezoaWtU735rG6VzlWqbpdf+PWXn1FQ8Az3I+5jw8ZNMDMzRVt/f9H7qqqqWLH8TxQUFODW7dtYs3YdTExM0MhD+s1n60J1H89fdvrkEVhZ28LR2a06slqtKp2nCaWfi1YUfDYAu7dtwIy5iyXidnRxh6OLePSHs5sHZv9vFE4c3o2RE6ZWW74/NAI5DmKvTewQ+MD16NEDlpaWWLt2LczMzFBWVgZ3d3cUFRVJbZSEQskWuqysDD169MBPP1W+a6+pqanUz1y0aBG+//57iWVdh3yLbkO/k5peVV0XAjn5SqMBCnLSKl3hf0FN07By+tw0yMkpiOb3q2kaIK9CmvycNKhpSl59kVdQgo5h+d25ja0aIinmLm6d24J2H8+X+tnq2kbQ1DVDVsoTqe+/LSu3duhrKW7ES0vLr5jl56ZCTUt8NehZbjpUNaqeN6aqYYCCXMmrTgV5aVLXCT74A56En0H38X9DQ1s8lLak+BmunfwdHYctg5WLPwBA39QZaQnhCD23kR0CNUxTSxtycnLIqHAVJSsrs9LVtYounDuNv5b9jBlffYdGXpJ3MN/+zwb4teuEjp27AwCsbexQ+KwAK5cvQf+BwyBXxw1redzyla4eZWVlVBotUVHwuUCsWPYTpn81Hx4V4tbV04e8vALk5cV31je3tEZmRjqKi4uhqFizNwd9HR1VZcgLBEitMBogPb8I+qrSf8gZqKvAUENV1BkAALZ6mhACSM4tgJWOBlZeDkc3F0v0cS8/rjkaaOFZcSl+OH0bYxo7Qe4Nf1hWpwtX03DvwXXR30qK5XVOT1cJaRniUQK62oqVRg1UJBQC8Qnl++xRVB6sLdUwbIAVQu6WdzKkZRQhOlbySQVPYvPh38Kw0rZqUlVtm7R26AV1LQPkVxjFlp+TLtG2vU5SbBjyc9Ow7de+omXCslLER17D7fNb8fmSO5CTq72nTWhq6UBOTh5ZGZJXSbOyMl57XLt0/hTWLFuI/331Ixp6ii9YJCXGIyU5Ab8umClaJhSWX/AY1qsVlqzaAWNTi2qM4u1paWk9P55LjgbIzMyqNGqgIhOT8nbZ1tYGGRmZ+GfrNokOATk5OZiZld8zwd7eHjExsdj576560SFQU8fzFwqfPUPwudMYOGx0teW5Omg9r+eZFet55uvr+cVzp7B62SJM+eoHNPRs/Mq0cnJysHd0RcLTuPfOM9GbYvfLBywtLQ3h4eH45ptv0L59e7i6uko0TC4uLggNDZW4mn/9+nWJbXh7eyMsLAw2NjZwcHCQeKmrS7/b/ezZs5GVlSXx6vjx7CrzKa+gBCOLBoh9cFFiecyDizC1kT4EzsTGEzEV00cEw8iygegJACY2npW3GREMkwr3B6hMiNKSqk9IC/IykJuZADWt6jm5VFJWh7aBteila+QAVU0DxD8U5720pAgJUddgbF31kEBjq0YS6wBA3MOLMLYSryMUChF8YAGiwwLw0diN0NKTPGEqKy1BWWlxpee7CuTkRSdbVHMUFRVh7+CM2yGS38PbIdfh4tqgyvXOBwVi+W+LMXXmN/BtUvlxeoXPCiuVqZycPCAUVuoErAuKioqwc3BCaIW4Q0Ouw9m16nmxF4JO4a/fFmHKzG/hIyVuZ7eGSEyIF42MAoCE+Fjo6unXeWcAACjKy8HFSBtXYiR/AF6JSYaHqfQTSE8zPaTkPUN+kfiO+U8yciEnAIw0yufSPisurXRfIzmB4Hl5V28Mb6qgoBTxCc9Er6iYfKSmF6Kxp/gHgoKCAJ7uOrh7P/utti2AuIMBAO6EZ8HKXPIJDZbmakhMrt2bCsorKMHIsgFiIoIllsdEXISp7SvatgjJ4/iTiAswsnJ/46fbWDk1w7AvD2HozP2il7GlO1x8emDozP212hkAAAqKirB1cMadkGsSy+/eugon16qfenHx7Ems+n0BJs/4Hl6NJe+rYGZhjZ+W/4NFyzaLXt5NWsOtoTcWLdsMfYO6v1+GoqIiHB0cEBIieb+IkJAQuLq6vvF2hEIhiotfff8IIV6fprbU1PH8hYvnz6C4uBht2r7/CM3qJKrntyTr+Z1b1+DkUnXcwWcDsPL3H/H5jO/g3fj1F12EQiGiox5ClzcWpFrEDoEPmK6uLvT19bFmzRo8evQIp0+fxrRp00TvDxkyBGVlZRg/fjzCw8Nx4sQJ/PrrrwDEw5smT56M9PR0DB48GFevXsXjx49x8uRJjB49usobcykrK0NLS0vi9brpAp7+IxF2eTfuXdmD9KRInN+3CLkZCXBvMQgAcPHwEpzcKp4r5t5iEHIynuL8/kVIT4rEvSt7cO/KHni1FfcYe7b5BDERwbgRuBbpSY9xI3At4h5cgqffCFGai0eWIj7yOrLT45D6NAKXjvyG+EdX4ezTA0D5XZovHPgJCdEhyE6PQ9yjKzi87lOoqOvCvmGHtymONyYQCODecjhuBa1BVFgA0hMf4OzuOVBQVIG9Z3dRujP/fomrx5eK90nL4Yh7dBG3zq5FZvJj3Dq7FvGPLsG9pXhIePCB+Xh06xDaDfwFisrqyM9JQX5OCkqKy0+UlVQ0YGrbGFeO/YKnj68iOz0OD27sw8ObB2DToGbirQ7y6mrQauQCrUYuAAA1WwtoNXKBiqX0USz1WY8+AxB48ggCTx5FXMwTbFizHKkpSejUrfymWf9sWoM/lojv6XE+KBDLli7EiDGT4OTshoz0NGSkpyEvT/y8dd+mzXHi6AFcOBuIpMQE3Aq5ju3/rIdv05YSV8/rUo8+HyPw5GEEnjyCuJhobFzzJ1JTktGpWy8AwNZNq7FsyY+i9BeCTuHPpT9i+JjJcKwi7s7deiEnJwsbVy/D0/hY3Lh6CXv//QddPupT6fPryjAvB+wPe4IDYU8QlZ6DJefuIDG3AP0b2gAA/gy+h29P3hCl7+JkAR0VRXx3KgSP07JxMz4VfwSHoaebNVQUysuyja0JdodG48SDOMRn5eFyTDJWXr6PNnYmkK9Hd0DedTAenwywQptm+rC1UsPXU5xRWFiKk2eTRWm+meqMCcNtRX8P628JX09dmBmrwMpCFQN7WaBLO2OcCBJPBdh5IB4NnDXxyQArmJuqoKOfEXp2NsXeI1Xfg6WmePuPwt3LuxF2eTfSEyNxdu9C5GQkwKNledt24dASnPhnlii9R8tByM54irP7FiE9MRJhl3cj7PIe+LzUtpXfiDccyXHhKCspQl5WEpLjwpH5fNSakooGDMycJF4KympQUdeBgVnd3EeiW+/BOBNwEEEBhxAfG42/1/6O1JQktO9a/l3csXkFViwVjyy8ePYkVv42H8NGfwFHF3dkZqQhMyMN+c+/30pKyrC0tpd4qatrQEVVHZbW9lCoBx1+ANC3Tx8cP3ESJ06eRExMDFavWYPklBR81K18KuKGjZvwy69LROkPHjqMy1euID4+HvHx8Th5MgB79u5Fu7bie8Ls2Pkvbt4MQUJCAmJjY7Fn7z4EBp6WSFPXauJ4/kJgwBE0bt4Kmlp1++QMaT7qPRCnTx7CmZOHER8bjc1r/0BqShI6dCuv59s3rcRfSxaI0gefDcCKpQvwyZjP4ejSoFI9B4Dd2zbg9o0rSEqMR/TjB1j9xyI8efwQHbr2ru3w6hWBnKDevv6LOGXgAyYnJ4cdO3bgiy++gLu7O5ydnbFs2TL4Px92pqWlhUOHDuHTTz+Fp6cnGjZsiG+//RZDhgwR3VfAzMwMwcHB+PLLL9G5c2cUFhbC2toaXbp0qdZhxk5e3fAsLxNXT/yFvOwU6Js6osf41dDSMwcA5GWnIDdDfDKnrW+BnuNW4/z+xQi9sA0a2kZo0+drODQS33jH1NYbXT5ZgkvH/sDlY8ugrW+JziOWwsS6kShNQU4aArbOQl52CpRVNaFv6oyeE9aKnk4gJ5BHWsID3L9+AIUFOVDXMoS5QxN0Gf4blFQq31ehujRqMxalxYUIPjAfRQXZMLT0QNfR66CkLB6VkZeZIHHV19jaC+0GLcH1gD9wI+BPaOlZov3gJTCyEscbfmUHAODwWnGnCAD49V8IJ5/yBqvd4CW4duI3nNk5E4X5WdDQNYNvpylwbTqoxuJ9X9o+7mge+Lfob7df5wAAYrfsReiYqken1Eet2rRDTnY2/t2+GRnp6bCytsXX3/8Eo+fPMM5IT0NqivjHz8njB1FaWoq1K3/H2pW/i5a3bd8Zn08rj33AoE8gEAiw7e/1SE9LhZa2DnybtMDQ4WNqNbZXadmmPXKys7F7+2ZkpKfBytoWc77/CYaviXvdyt+wbuVvouX+7bvgs2nl5W9gaIy5C5Zg09rlmD55FPT0DdCtZ3/07j+kdoN7hU5O5sh8VoS1VyOQmlcIe31NLOvZDKZa5Ve4U/OfITGnQJReTUkBf/VugV/O3sGwneego6KIDo7mmNRcfMVxTBMnCATAikv3kZJbAB1VZbSxNcbkFvVrvu3WPbFQVpLDtE8doamhiHsPsjH121AUFIg7m40NVVD20qgGVRV5TP/UAUb6yigsKsOTuHzMX3Ifpy+IR1ncf5iDOQvDMGG4LUYOskZCUgGWrX2EgJc6GmqLs3c3PMvLwOUTK5CflQx9Uyf0mrBGom3LzkgQpdfWt0TvCWtwdt8ihJ7fCnVtI/j3/RqOnuK2LTcrGdt+6S36+8bpDbhxegPMHZpgwOfi42B90rx1B+RmZ2Hvjg3ITE+DhbUdZs1bAkOj8k7bzPQ0pL30/Q48vh+lpaXYuOpXbFz1q2h5m3bdMHHq3FrP/7vy82uD7JxsbN22HRnp6bC2scaC77+HsXH5dMD0jHQkp4jrrlBYho2bNiMxMRHy8vIwNTXF6FEj0a1rV1GaZ8+eYfmKFUhNTYWSkhIsLS0wa8YM+Pm1qfX4qlITx3MAeBofi/thoZj7g7gTpT5p0aYDcnOysWfHRmSmp8HS2g5ffferOO4MybhPHTuA0tJSbFi5BBtWimNq074rJk39BgCQl5eDtct/QmZGOtTU1WFj54R5i1fAoR7eP4H+uwTC+jCelGrN1q1bMWrUKGRlZUFVtfoe5bL8qGxWo2fPZDNu14FvPhzyv8QmPKius1AnymR0MJntifp5UlrTuhz/qK6zUCeGTvar6yzUiSZ2b3Zn+P8aPXnZjDtXWPWj/v7LSoT1Y7RcbfNylH4/k/ou65fP6zoLVdKe+WddZ6HacYTAf9yWLVtgZ2cHc3Nz3L59G19++SU+/vjjau0MICIiIiIiqhYC2bwQUVfYIfAfl5iYiG+//RaJiYkwNTXFgAED8OOPP75+RSIiIiIiIvpPY4fAf9ysWbMwa9as1yckIiIiIiIimcIOASIiIiIiIqoX/qt386+vOEGDiIiIiIiISAaxQ4CIiIiIiIhIBnHKABEREREREdUPcrxmXZu4t4mIiIiIiIhkEDsEiIiIiIiIiGQQpwwQERERERFRvSAQ8CkDtYkjBIiIiIiIiIhkEDsEiIiIiIiIiGQQpwwQERERERFR/cCnDNQq7m0iIiIiIiIiGcQOASIiIiIiIiIZxCkDREREREREVC8I5PiUgdrEEQJEREREREREMogdAkREREREREQyiFMGiIiIiIiIqH4Q8Jp1beLeJiIiIiIiIpJB7BAgIiIiIiIikkGcMkBERERERET1A58yUKs4QoCIiIiIiIhIBrFDgIiIiIiIiEgGccoAERERERER1QsCPmWgVnFvExEREREREckgdggQERERERERySBOGSB6DxrqstmnZhMeVNdZqBPRrv51nYU6URR8r66zUCeSWi+o6yzUiW4GsnlqUFQsrOss1InsQtW6zkKdyBBa1nUW6kTOM9n8fisqyOb326uuM/Cu+JSBWiWbv2aIiIiIiIiIZBw7BIiIiIiIiIhkkGyOGyIiIiIiIqJ6RyDHa9a1iXubiIiIiIiISAaxQ4CIiIiIiIhIBnHKABEREREREdUPAj5loDZxhAARERERERGRDGKHABEREREREZEM4pQBIiIiIiIiqh/4lIFaxb1NREREREREJIPYIUBEREREREQkgzhlgIiIiIiIiOoHPmWgVnGEABEREREREZEMYocAERERERERkQzilAEiIiIiIiKqFwR8ykCt4t4mIiIiIiIikkHsECAiIiIiIiKSQZwyQERERERERPWDgNesaxP3NhEREREREZEMYocAERERERERkQzilAEiIiIiIiKqH+QEdZ0DmcIRAkREREREREQyiB0CRERERERERDKIUwaIiIiIiIioXhDwKQO16oPd2/7+/pgyZUpdZ6Ne4T4hIiIiIiKiN8URAjVg5MiRyMzMxP79+2v1c/fu3QtFRcVa/cy3EXphG0LOrEdedgr0TBzQuvccmNv7Vpk+/tFVnD+wGOmJj6CuZQTvdmPRsOUgiTSPbp/A5WPLkJUaA20DKzTvNgX2Hh1F798J3o47wduRnR4PANA3cUDjzpNh49pGlCZg21e4f22/xHaNrRvh4yk7qyFq6W6f34rrgeX7Qt/EEX795sDiFfsi7uFVnN23GGmJD6GubQTf9mPRqNVg0ft3Lv6Le1f3Iy3hIQDAyLIBWvWYBhNrD/E2Hl3D9cD1SI69i7zsFPQY+xccPDrUWIxv4tjh/Tiwdwcy0tNgaWWL0eM/g5u7h9S0l4PP4fjRA4h+/AjFxcWwtLbBwCEj4eXTRCLdof27cOLoQaSmJEFTSxvNW/ph2MhxUFJSro2QqpVeK1/YTR8DbW93qJgZ4Xq/SUg6GFjX2Xpnl05tx7kjG5CTlQJjcwd0H/YVbJ2l1/vszBQc2fYz4qPCkJb0BC06DUOPYbMl0iTFPcTJPcsRHx2GzNSn6D70K7TqMrw2Qnkr507swKkDm5CVmQpTC3v0HzULDq4+UtNmZaRg7+ZfEfP4HlISY+DfdQj6j/qyUrr8vGwc2v4nbl0JRH5eNvSNzNF3+Ay4e7eu6XBeqXUDATztBVBRBJ6mAydulCE1+9XrOFsAfu5y0NEAMnOBoDtleBAvuc3W7pLXL3ILhFh2sAxA+b2n/BoKYG8qgI4GUFgMRCcJcea2ELnPqjtCQCgU4trJ5bh35V8U5mfD2MoDbfp+Cz0Tx1euFxl6AlePL0NWWgy09a3QtOsU2DXsKJHmbvA2hAStR35OCvSMHdCy1xyY2Ym/IytmuEjddvOPZsKr7RgAQFZqDC4e/hkJUTdQWlIEK+fWaN3nG6hpGrxn5K8WdHwnAg5uRlZGKsws7TFg5Ew4unlLTZuVkYLdm5cg5nE4khNi0LbbYHw8apZEmiXfjsHDezcqrevu3QqfzVleIzG8C1n6fr9MVo/nwSe3I+jwRmRnpsDEwgG9hn8FOxfp5Z2dkYKD//yMuKh7SE18gladh6L3CMm4Q68GIHD/WqQmxaCstAQGJlbw+2gkfFv3rI1wiACwQ6BalZaWQiCou7ti6unp1dlnv86DkKM4v38R/Pt/C1Nbb9y9uBOH1ozH0K8OQ1PXrFL6rLQ4HFw7AQ2aDUCnYb8gIeomgnbPh6qGLhwadQYAJESH4PiWaWjW9QvYNeyIx3cCcHzzVPT7YitMrBsBADS0jdGi+3RoG1gBAO5f248j6ydj0PS90DcVn7xZubRGh8ELRX/Ly9dcx0rEzaMI2rsI7QbMg5mdN+4E78D+leMwfM4RaOlJ2xex2Ld6PBo2H4Auw3/B08c3cXrX91DT0IOjZ/m+iHt4BS4+H8HU1hsKikq4fmod9q4YjeGzj0BDxxgAUFyUD0NzZzRo1heH139eY/G9qQvnTmPj2uUYN2kKXF0b4sTxg/hh3iz8sXIzDI2MK6UPC7uNRl6+GDpiHNTVNXD61DEsmj8Hi5euhJ19eVmePROAfzatweQpX8LFtQGexsfhz98WAwBGj/+sVuOrDvLqasgOjUDc5r3w2VV/ToDfxe3Lx3D4n0XoNfJb2Dh64cqZf7HxlwmYtvgQdAwq1/uS4iKoa+qiba8JuHB8s9RtFhU9g76RBTyadMbhrYtrOoR3ciP4OHZv/BkDx30Ne2cvXAjYhb9+nIS5v+2HnqFppfQlxUXQ0NJFl37jcPrwP1K3WVJcjD8XTICmlh7GTl8CHX1jZKQmQkVVvabDeaVmLgI0cRbg8JUypOcCLd0EGOwvh9VHy1BUIn0dc32gT3M5nL0rxIM4IZwsBOjTQg5/B5bhabo4XUqWENuCykR/C4Xi9xQVABNdAYLvCZGUKYSKEtDRSw4DWguwMaAM1S3kzDrcPrcJ7QYtgo6BDW4ErsLBNaMxZNYxKKloSF0nMToEJ/+Zhiadxe3Vyb+nos/krTB+3l49vHUUFw4uQpu+38LExhv3Lu/E4XXjMXimuJ0c+e15ie0+uX8OZ3Z9AzuPTgCA4sJ8HFo7BvqmLug1cRMA4OrxZTi64VP0+3wnBHI1MzD0evAJ7Nr0CwaPnQN7F0+cD9iN5QsnY95ve6XW8+Ln9bxr37EIrKKeT5y5FCUlxaK/83Iz8cP0gfBu3lFq+rogS9/vl8nq8Tzk0jEc2LIYfUfPha2zFy6d+hdrF0/ArF8PQlda3CVF0NDSQ4fe43H26Bap21TT0EaHPuNhZGYLeQVF3Lt5FjtXfQMNLT24NGpV0yHVX3zKQK36YKcMAEBZWRlmzZoFPT09mJiY4LvvvgMAjB49Gt27d5dIW1JSAhMTE2zYsAFA+fD6zz77DJ999hl0dHSgr6+Pb775BsKXzjKKioowa9YsmJubQ11dHU2bNkVQUJDo/U2bNkFHRweHDx+Gm5sblJWVMWrUKGzevBkHDhyAQCCAQCAQrRMfH4+BAwdCV1cX+vr66NWrF6Kjo0XbGzlyJHr37o1ff/0Vpqam0NfXx+TJk1FcLG4QV6xYAUdHR6ioqMDY2Bj9+/cXvVdxykBGRgaGDx8OXV1dqKmpoWvXrnj48GGl/J84cQKurq7Q0NBAly5dkJCQ8K5FUqVbQZvg1rQfGjQbAD1je7TpMwcaOia4E7xdavq7F3dAU8cUbfrMgZ6xPRo0GwC3Jn0RcmaDeJtnt8DSqQV8O0yAnrEdfDtMgIVTM9w6K25sbN3bwcbND7pGttA1skXzj6ZCUVkNiU9uS3yevIIS1LUMRS8VdZ1q3wcv3DyzEe7N+qFhiwHQN7GHf7+voalrgtAL0vdF6IUd0NI1hX+/r6FvYo+GLQagQbO+uHFavC+6jliCRq2HwsjCFXrG9ugw+AcIy8oQ8+CSKI2tmx9adp8Kx0adaiy2t3Fo3y6079QNHTt3h4WVNcaM/xz6BkY4cfSA1PRjxn+OPv0Hw9HJBWbmFhg2YhxMzSxw/cpFUZoH98Pg4tYQbfw7wMjYFJ7ejdHKrz0iH0XUVljVKuXEOTyY9zsS9wfUdVbe24Vjm+Dr1w9N/PvDyNwePYbNhra+KS4H7pCaXs/QHD0/mQOfVr2goqopNY2lXUN0GzwTjZp3g7yiUk1m/50FHt6C5u36oGX7fjCxsEP/UV9C18AE50/+KzW9vpE5Boz+Ck39ekJVTfqPy0tn9iE/NwsTZv0Oexcv6BuawcHVGxY2zjUZyms1cSr/UR4RD6RkAYeuCKEoDzSwrvrErrGTAFFJwKVwIdJyyv+NTipf/rKyMiDvmfiVXyh+r7AY2H62DOGxQqTnAE/TgJM3y2CqJ4CWWvXGKBQKEXp+C3zaT4R9w07QN3VC+0GLUVL0DA9DDle53u3zW2Dp2AI+7SdA18gOPu0nwNyxGW6fF7dXt89ugmuTfnBrWt5OtupV3k7evSRuG9S0DCVe0WGnYW7fFNr6lgCAhOibyEmPR/tBi6Bv6gx9U2e0HbgQybF38H/27js8iuJ/4Pj70nuvpIcUekIn9N6lSRFEBBHwi8pPERVQUbGAKKiodKUJCNKk907oEHqHEEJ67/1+fxxcuORCkZAE83k9zz2QvZm9md29+ezNzuyG3zhauhvjIbs2LqVZ2940b98HZ1dv+g/7CGtbJ/bv+FtrejsHFwa88TFNWr+EUQnHuam5JZbWdurX5bNHMTA0on5QxYhhULm+3w+rrO35gc2LadTmZZq07YujS1V6vT4BK1tngndqH1FqY+9Cr9cn0KBlT4xNtNfbp0Yjajdsj6NLVewc3WnZ5TWc3f24ffX086yKEBpe6A6BxYsXY2pqyrFjx5g2bRqTJ09m586dvPnmm2zbtk3jh+2WLVtIS0ujf//+Gvn19PQ4duwYM2fO5Mcff2TBggXq94cNG8bhw4f566+/OHfuHP369aNz584aP6ozMjKYMmUKCxYs4OLFi8ycOZP+/furf1hHRkbStGlTMjIyaNOmDWZmZhw4cIBDhw6pf4Dn5OSo17d3715u3rzJ3r17Wbx4MYsWLWLRokUAnDx5kjFjxjB58mSuXr3Ktm3baNmycOh7UUOHDuXkyZNs2LCBI0eOoFQq6dq1q0YHQ0ZGBj/88ANLly7lwIEDhIWFMW7cuGfaL0Xl5+UQE34Rd/9mGsvd/ZsRGXpGa56o0JDi6as1J+buRfLzc0tO49+cqNAQressKMjn2unN5GZn4OwZqPHevRvHWfBZU5Z+24ndKz8jIzX+KWr45PLzcoi+exGPapq9vu7VmhFxW/u2iAwNwb2aZj09q7UgOuyCelsUlZeTSX5BHkYmlqVT8FKWm5vLzRtXCajbUGN5YL2GXLl88YnWUVBQQGZmBmbmhUG2eo3a3LxxletXLwMQFRnB6RNHqd+gSekVXjy1vLwc7oVewre25nHsW6spd66HlE+hykBebi53b12mekBTjeXV6wRx62rIv17vuZP78PILYOWCbxn/Zmu+HtubbWvnU5Cf/4wl/vesTMHMWMHtqMJO9fwCCItVjQIoiYutglsP5QG4FaXE1U6zQ8DaHN7tocPobjr0ClJg9ZiLpYb6qh/vWTmPTve0UhLCyUiNxe2h2KOrZ0CVqg2JKiGeAUTfCdHIA5rxKj8vh9h7F3Hz00zj5teM6BLWm5Eax53L+6ne6GX1soK8HFAo0NUr/EGlp2+IQqFD5O3iw+9LQ15uLmG3LlM9IEhjefWAJty6eraEXE/v8J71NGjWCUMj41Jb57OoTN/vh1Xa9jwvh/Dbl/Cvo7m//es0JfRaSKl8hlKp5NqFo8RGhuJdreRppOLFMmvWLLy8vDAyMqJ+/focPHjwkemzs7P55JNP8PDwwNDQkKpVq6ovaD8vL/SUgTp16vD5558D4Ovry6+//sru3buZOnUq/v7+LF26lI8+Us1JW7hwIf369cPMrLBH1s3NjR9//BGFQoG/vz/nz5/nxx9/ZMSIEdy8eZMVK1YQHh5OlSqqYUDjxo1j27ZtLFy4kG+/VQ0vz83NZdasWQQEBKjXa2xsTHZ2Nk5OTuplf/75Jzo6OixYsEA9rWDhwoVYWVmxb98+OnZU9XhbW1vz66+/oqurS7Vq1ejWrRu7d+9mxIgRhIWFYWpqSvfu3TE3N8fDw4O6detq3TbXr19nw4YNHD58mKZNVY3XsmXLcHNzY/369fTr109d/jlz5lC1alUA3nnnHSZPnvyMe0ZTZnoiyoJ8TMw1zwqNzW3JSInTmicjNRZjc80fzSbmthQU5JGVloippQMZqXHF1mlibkt6SqzGsriIq6z+eSB5ednoG5jQ7Y1fsXHyUb/vUb0lPgGdsbCpQkp8OEe3zmTdrKG88sEajZOq0lDStjA1t+NOaqzWPOkpcXgWmfv5YFtkpiViZulQLM+hDdMxs3TE3b9psfcqgtSUZAoKCrCystZYbmllTVJiQgm5NG1Yt4qsrCyatmijXta8VTuSk5P55KN3USqV5Ofn06lrT/r0f7VUyy+eTkZqEgUF+ZhbaB735pa2XEvW3gb8F6SlJlJQkI+FVZF6W9mSkvTv6x0fHc61C8dp2LwboyfMIibqDqsWfEtBfj5d+731rMX+V0yNVP+mF5mzn56lxNJEASiL5QEwM9KWp3B9APfilWw8prr6b2oEzWroMKSdgvnbCsjU8oNfVwfa1NHh4h1liVMV/q2M++20iVmR2GNmS2pixCPyxWFcJI+xma16fVn3Y4Oxlph2N1X7sXL15Hr0DU3xrl14xdzRIxB9A2OObP6Bxl3eB6WSI5t/QKksUH9WaVMf55aa0xYtLJ/tOH/Y7evniQi7wWv/+7xU1lcaKtP3+2GVtT1PT1HV28xSs95mlrakPmO9MzNSmTy6DXl5uejo6NBn2GfFOh4qnf/IUwZWrlzJe++9x6xZs2jWrBlz586lS5cuXLp0CXd3d615+vfvT3R0NL///js+Pj7ExMSQl1fKwayIF75D4GHOzs7ExMQA8OabbzJv3jw++ugjYmJi2Lx5M7t3a96Mq0mTJhpz/oOCgpg+fTr5+fmcPn0apVKJn5+fRp7s7GxsbQsbAwMDg2Ll0ObUqVPcuHEDc3PNIUNZWVncvHlT/XfNmjXR1dXVqNP58+cB6NChAx4eHnh7e9O5c2c6d+5M7969MTEpPiby8uXL6Onp0bhxY/UyW1tb/P39uXz5snqZiYmJujPgwec92IYlyc7OJjs7W2NZbq4B+vqPuWmbtvsrPOKeC0Xvx6CezfHQcm33bCi6zNrBi1fGrSM7M4Wb53awc/l4Xn5nqbpTwK9uV3VaW2c/HNxqseirdty+tA+fOs9paGKxuimBR82XKpL+/sm1tvqf2DWfK6c30+/dJeg9bp+Us2LlVyofdUioHdy3m5XLFjH+s681OhUunDvDmpVLGTH6Pfz8axAZcY8/5v3CqhW29B9Y8W5OVOloOe7L874rZUfbcf7v661UKjG3sGHQqEno6OriXrUGyQmx7NqwqMx+MNT0UNClfmEdVh1UzdXX9rNfe1dAyYpumltRhf+PTYZ7cQX8r5sOtT0VHL+muXYdBfQK0kGhgG2nnvaTi7t2eiP7Vhf+CO02fI7WQiq1FbyIJ4lXiqJtvWrFWtd3+fga/Op112jnjc1s6PjaTxxY+yXnDi1FodDBN7Ab9i41UCh0ta6ntBSL2Twurj254D3rqeLug5dv7VJZX+n6732/n0glbc+LfkdRKh/73X8cQyNTPpi6huysDK5fOMaGP6dh6+iKT41Gj88sKrQZM2YwfPhw3nzzTQB++ukntm/fzuzZs5kyZUqx9Nu2bWP//v3cunVLfW84T0/P517OF7pDoOgd9RUKBQUFqpOSIUOGMH78eI4cOcKRI0fw9PSkRYsnvztrQUEBurq6nDp1SuMHOqAxysDY2PiJGsCCggLq16/PsmXLir1nb2//RHUyNzfn9OnT7Nu3jx07djBp0iS++OILTpw4gZWVlUa+h++FUHT5w+XV9nkl5X1gypQpfPnllxrLugyaRNdXv9Ca3tjUGoWObrHRAJmp8cWulD9gYm5fPH1aPDo6eur5/SbmdqQXSZORGl/sTsq6egZY2XsA4Ohem+iwC4QcWELb/tpHQphaOmBuXYXk2Dta338WJW2LjLTi5VaXx8KO9CJXdjJTEzS2xQMnd//OiZ1z6fP2QuxdtN+NuiIwt7BER0eHxCKjAZKTk7C0evTNMQ8d2MNvM6cxbvwXBNTVHFK34s8/aNW2Ix06qe4h4uHpTXZWJrN/nU7fAYPReU431BKPZmJuhY6ObrGrKGkpCZhZPGI8+QvOzNwaHR3dYlcLU5MTMLf89/W2sLJDV08PnYdik5OrFylJceTl5qJXBk+buX5PSUR8YazQvf/VKnrF39RIQXpWyTElrchoAAATw+KjBh6Wm6/qGLApMiVXRwG9m6qeVrB8b8k3MnwanjXaMGBsYad/fp5qSEJGahymFoWjszLT4ouNGniYibkdGanFY5qxmardN3oQG7Sk0RYnI26dJCn2Nh1f+7HYe+7+zRk8YSeZ6Yno6OhiaGzBwi+b42Pj+gQ1fnoPjvPkJM2pdqnJCcWunv8bOdmZnDi8nZcG/O+Z11Wa/svf70eprO25qUXJ9S46WuJp6ejoYOekOk918axOdMQtdv8zXzoEKihtF0YNDQ0xNNS8CJeTk8OpU6cYP368xvKOHTsSHByMNhs2bKBBgwZMmzaNpUuXYmpqSo8ePfjqq68wNn5+06X+s2fHtra29OrVi4ULF7Jw4UKGDRtWLM3Ro0eL/e3r64uuri5169YlPz+fmJgYfHx8NF4PTwXQxsDAgPwic73q1avH9evXcXBwKLY+S8snn+etp6dH+/btmTZtGufOnSM0NJQ9e/YUS1ejRg3y8vI4duyYell8fDzXrl2jevXqT/x52kyYMIHk5GSNV4f+E0pMr6tngINrTe5e0zz4w64F4+ypfcqDk2cgYUXTXz2Mg1tN9RMAnDwDi6/z6mGcitwfoDil+qROm8z0RNKSIjGxsC8xzb+lq2eAo1tN7lw9rLE87EowVby0bwtnz0DCrmjW886VQzi619J4GsLJ3Qs4tn0Wvd9agJN7RbyKUkhfX5+qPv6cPXNSY/nZMyepVr1mifkO7tvNrz9O5f0PP6VBo6Bi72dnZaMoMsxMR0cXlMrHdnSJ50dPzwAXzxrcuKB5HN+4EIyHb2D5FKoM6Onr4+ZdnSvnjmgsv3LuKN7+gf96vd7VAomNuqvuLAaIibiDpbV9mf1YyMmDxLTCV1yK6lGAXk6FHc46OuBuD/cecUuWe/FKvBw1O9W9nRSEx5X8fdXVAVsLSMssXPagM8DGHFbs0z6V4N8wMDLD0s5D/bJ29MHE3J7wh2JPfl4OETdP4FRCPAPVUP6i8eruQ/FKV88Ae5ficTL8WjCOWtZ7+fhq7F1rYlel5I5fY1NrDI0tCL9+lMy0eDxrtikx7bPQ09fH3bs6l4sc55fPHcPbP6CEXE/uZPAO8nJzaNyy2zOvqzT9l7/fj1Jp23M9A1y9anDtnGa9r50PxtMvsHQ/TKkkP1f7PaIqDYWiwr6mTJmCpaWlxkvb1f64uDjy8/NxdNR8cpajoyNRUVHF0gPcunWLQ4cOceHCBdatW8dPP/3E6tWrefvtt5/LZn7gP9shAKppA4sXL+by5cu8/vrrxd6/e/cuY8eO5erVq6xYsYJffvmF//u//wPAz8+PV199lSFDhrB27Vpu377NiRMn+O6779iyZcsjP9fT05Nz585x9epV4uLiyM3N5dVXX8XOzo6ePXty8OBBbt++zf79+/m///s/wsPDn6g+mzZtYubMmYSEhHDnzh2WLFlCQUEB/v7F7zzr6+tLz549GTFiBIcOHeLs2bMMHjwYFxcXevbs+USfVxJDQ0MsLCw0Xo+bLhDYeigXj67m0rE1JETf5OC6KaQlRlKr6SsABG+azo5lhc/irdX0FVITIzi4fgoJ0Te5dGwNl46toW6bNwrX2fI1wq4e5tTu+SRE3+LU7vmEXztCYKvCfR28eQb3bp4kJSGcuIirHNn8I/duHMe//ksA5GSnc+if74gMPUNKQjjhN46xacH/MDK1pmrt9s+0nUpSr80wLhxZzYUjq4mPusm+td+SmhhJneaqbXFow3S2LS18HnOd5q+QkhjB/rVTiI+6qcp7dA312xZuixO75hO86Sc6DvoWC1sX0lNiSU+JJSc7XZ0mJzudmPDLxISrpoykxIcTE36ZlISS570+Ty/17sfuHZvZvWML4WF3+GPer8TFRtOxq+rZu38umsfP0wsfBXlw325mzviW14ePxs+/BokJ8SQmxJOenqZO06BxENu3/MOh/buJjook5MxJVvz5Ow0aNys20udFoGtqgkVANSwCVCf9Jl6uWARUw8it+OOsKrrmXYZyYt9qTuxfQ8y9m2z8cypJ8ZE0bjcAgG0rZ7ByjmYvesSdy0TcuUxOdgbpKQlE3LlM9L0b6vfz8nLUafLzcklJjCbizmXiokt/dM+/1a77EIJ3ryV4zzqiwm+xetE0EuIiad5RdR+Xf5b9zOJfJmrkuXv7CndvXyE7K4PUlETu3r5C5N3CqWUtOw4gPTWJ1Qu/IzoilAunDrB93QJadhpQpnUr6vg1JU2rK/BzAXtLeKmRgtx8uHin8Mf9S40VtK5d2AFw4poSbyfVIwttzVX/ejqqlj/QNkCBuz1YmkIVG+jTVAdDfTgX+mDqFPRppoOzDfxztACFQjXqwNRI1SlRmhQKBXVaDOHU7rncOr+T+Mhr7Fk5AT0DI3zrFj7daNeKjzmyZbr67zotXuPutcOc3jOfxJhbnN4zn/DrRwhoURivAloN5fLx1Vw+roqTh/6ZQmpSJLWavKJRhpysNG6e3U71Rv20lvHy8TVE3QkhOS6Mq6c2sH3p/xHQ4nWsHbxLd2M8pP1Lr3F49zoO715PZPgtVi38nsS4SFp2VD0Jad2ymSyc+alGnsLjPJPUZNVxHvHQcf5A8O71BDZsg5m51XMr/79Vmb7fD6us7XnLbq9zbO8aju1dS/S9m/yzZCqJcZEEtVfVe/OKH1k+S/MC2b3Qy9wLvUx2VgZpqYncC71MVHhhvXevn8/Vc8HER98l+t4t9m9exMmDG6jXXPNpaaLi0HZhdMKEki+MFp8CXfL0moKCAhQKBcuWLaNRo0Z07dqVGTNmsGjRIjIzM7XmKQ0v9JSBx2nfvj3Ozs7UrFlTfWPAhw0ZMoTMzEwaNWqErq4u7777LiNHjlS/v3DhQr7++ms++OAD7t27h62tLUFBQXTt2rXYuh42YsQI9u3bR4MGDUhLS2Pv3r20bt2aAwcO8PHHH9OnTx9SU1NxcXGhXbt2WFhYPFF9rKysWLt2LV988QVZWVn4+vqyYsUKatbUfkV14cKF/N///R/du3cnJyeHli1bsmXLlmLTBMqCX92uZKUncXz7b6SnxGLr7MtLI+diYeMCQHpKLGkP3ZDJ0taVHiPmcnD9VM4dWo6ZpQMte3+CT0AndRpnr3p0fm06R7b+zNGtM7G0daPT6zNw8ii8IpGZGs/OZR+RnhKLobE5ts7+9Bg1X/10Ah2FLvGR17hy8h+yM1MxtbDHxacRnYf8WOLzpJ+Vf72uZKUncmz7LNKTY7B19qPXW/M0tkVqYuETMixt3eg9ah77103h7MFlmFo60PrlT/ANLNwW5w6tID8/l01/jNH4rCad3yGo67sARIddYPUvhfPo969T9WbWaNSbToPL/pm/zVu2JTUlhVUrFpOYkIC7hxeffPkdDg6qETiJCfHExUar0+/YtoH8/Hzmz/6J+bN/Ui9v064T745VNcT9XnkNhULB8qW/kxAfh4WlFQ0aNeXVIcPLtG6lxbJ+LYJ2L1X/XeMH1Ynl3SVrOTe85OBTEQU06UJGWhK7188mNSkWJ1dfho6bi7Wd6rhPSYojKV7zkaczPy28e/q92xcJObIZK7sqjP9xlypPYqxGmgNbFnJgy0K8qjVk1Cfan3Vd1uo360x6WhJbV88lJTEWZzcfRk/8DVt7VUxKTowlMU7zSsHUjwqfhhN26xInD23Bxr4KX83aBoC1nRPvfDqXNYun8e24vljZONC666t07PkG5enoFdVjBjvX18HIQPX4v7/2aw7dtzDRnJZ2Lx7WHymgVW0dWtVSkJgO64MLiEh4OA/0DNLBxED1uMF78bB4VwEpGfffNwY/F9XJ1ZudNDv+/tyTT1gp30uvbps3ycvN4sDayWRnJuPoXoeXRvyuETPSEiM0TvicPevR8dXpHNv2M8e3z8TC1o0Or83A8aF45RvYlez0JE7uvB8nnXzpPnwu5vdjwwPXQzYDSnzrar9inhQbytGtP5KdkYy5dRXqt3uLgJZDS3UbFNWgWSfSUpPYvHouKYlxVHH34Z2Jv2oc5wlxmt/vbz4s7OgIu3WJE4e2YmPvzLezt6qXR0fc4caVM4z5bPZzLf+/VZm+3w+rrO153aAuZKQmsXPtbFKSYnF28+XNj+dgc39/pyTFklTkOJ8xofDx4OG3L3Lm8Gas7arw6S+qxwnnZGewduFXJMVHo29giEMVbwa9PZW6QV3KrmLiqWibHqCNnZ0durq6xUYDxMTEFBs18ICzszMuLi4ao8erV6+OUqkkPDwcX1/fZyt8CRTK//A42oyMDKpUqcIff/xBnz59NN5r3bo1gYGB/PTTT+VTuP+YX7f8Zw+jR9LT/e/fQEebFlUjH5/oPyi0euvyLkK5yDl8qbyLUC7MjZ7vXX0rquOX/9PXCkpkavKfHjRZojqej7hhw39YvrJy7u/UrMr5/dbXq5znqd3rvZj7O2tN8fujVBRGL7//xGkbN25M/fr1mTVrlnpZjRo16Nmzp9ZpBvPmzeO9994jJiZGfc+6f/75hz59+pCWlvbc7iPwn2wNCwoKiIiI4LPPPsPS0pIePXqUd5GEEEIIIYQQQlQSY8eOZcGCBfzxxx9cvnyZ999/n7CwMN56S/XEkAkTJjBkSOHo3UGDBmFra8uwYcO4dOkSBw4c4MMPP+SNN954rjcVfDG7jR4jLCwMLy8vXF1dWbRoEXp6/8lqCiGEEEIIIYSogAYMGEB8fDyTJ08mMjKSWrVqsWXLFjw8VE+ViIyMJCwsTJ3ezMyMnTt38u6779KgQQNsbW3p378/X3/99XMt5396yoAoOzJloHKRKQOVi0wZqFxkykDlIlMGKheZMlC5vLBTBtb+XN5FKJFRn/8r7yKUusrZGgohhBBCCCGEEJWcdAgIIYQQQgghhBCV0Is5jkQIIYQQQgghxH+PTuWcklteZISAEEIIIYQQQghRCUmHgBBCCCGEEEIIUQnJlAEhhBBCCCGEEBWDQq5ZlyXZ2kIIIYQQQgghRCUkHQJCCCGEEEIIIUQlJFMGhBBCCCGEEEJUDAp5ykBZkhECQgghhBBCCCFEJSQdAkIIIYQQQgghRCUkUwaEEEIIIYQQQlQMOnLNuizJ1hZCCCGEEEIIISoh6RAQQgghhBBCCCEqIZkyIIQQQgghhBCiYpCnDJQpGSEghBBCCCGEEEJUQtIhIIQQQgghhBBCVEIyZUAIIYQQQgghRMWgkGvWZUm2thBCCCGEEEIIUQlJh4AQQgghhBBCCFEJyZQBIYQQQgghhBAVg45csy5LsrWFEEIIIYQQQohKSDoEhBBCCCGEEEKISkimDAghhBBCCCGEqBgUivIuQaUiHQKiVCiV5V2C8mFjUVDeRSgXBZV0cFHO4UvlXYRyYdCsRnkXoVykBVfS/a1fOU/EdHXLuwTlI19ZOdvzsDjD8i5CuaisU7MdLHLLuwhCVFiVtFkQQgghhBBCCCEqNxkhIIQQQgghhBCiYlDINeuyJFtbCCGEEEIIIYSohKRDQAghhBBCCCGEqIRkyoAQQgghhBBCiIpBnjJQpmSEgBBCCCGEEEIIUQlJh4AQQgghhBBCCFEJyZQBIYQQQgghhBAVg45csy5LsrWFEEIIIYQQQohKSDoEhBBCCCGEEEKISkimDAghhBBCCCGEqBCU8pSBMiUjBIQQQgghhBBCiEpIOgSEEEIIIYQQQohKSKYMCCGEEEIIIYSoGBRyzbosydYWQgghhBBCCCEqIekQEEIIIYQQQgghKiGZMiCEEEIIIYQQomKQKQNlSra2EEIIIYQQQghRCUmHgBBCCCGEEEIIUQnJlAEhhBBCCCGEEBWCUqEo7yJUKjJCQAghhBBCCCGEqISkQ0AIIYQQQgghhKiEZMqAEEIIIYQQQoiKQZ4yUKZkawshhBBCCCGEEJVQhe8QaN26Ne+99155F+NfGzp0KL169VL//aLXRwghhBBCCCHEf4NMGShBaGgoXl5enDlzhsDAwFJb79q1a9HX1y+19b1olEolx7f/ysWjq8jOSMHRow6tXp6ErZPvI/PdOLudY9tmkhwXhqWdO026vEfVOh000pw/vJzTe38nIyUWGycfWvSaSBXvBur3b57bwYUjK4kNv0hWehIDPliHvUt1jXXsXTWJu9ePkJ4cg76hCc6edWnafRzWjt6ltxGAY7uXc2jrH6QlxeLg4kOXQRPw9G9QYvrbV46zbcV3xNy7gbm1A827DKdR21c00gRvX8zxvX+RHB+Jibk1NRt0pEPfsegbGAKwZ92v7P3nN408ZhZ2fDzzYKnW7Wls27SODWtXkJiQgJu7J0NHvkuNWgFa0x49vJ8dW/4h9NZ1cnNzcfPwov+gYQTWb6SRLj0tleVL5nMs+ADpaWk4ODrx+ptvU69hUFlU6Ykc2bWCA5v/IDU5FkcXH7oPHo9XCfs/JSmWzcunce/2ReKj79C042BeGjxBI010+HV2rPmVe6EXSYqLoPur42neeUhZVOW5sGneAO8PhmNZrxZGVRw4+fJoojfsLu9i/WtHdq5g/5Y/SE1S7e+XBo/Hq1oJ+ztRtb/DH9rfPV7T3N9R4dfZueZX7t2+SGJcBN0Hj6dFBdjfSqWS07t/48rxVWRnpuDgVoemPT/DxvHR7fvtCzs4uXMmKfFhWNi606Dj/+FVs7B9D9k3j9sXdpIcewtdfSMcPerSqPMHWNl7qdPkZqdzfNsM7lzaTVZGEubWLtRsOpgaTQaWah3PHVrOmb2/k/5QnHGpWnLbfe/GcQ7+M5WEqBuYWjhQr+2b1G6m2XbfOLudo1sL41tQV834dv7wCs4fXkFKwj0AbJ18aNjpbTyrtyxcx7kdXAxeScz9+PbKuOLx7Xk7sP0vdv2ziOSkOJxdq9J32Ef4VK+vNW1yYixrF/9A2K1LxEaF0brLIPoO+7hYuoz0FDau+IWQY7vJSE/B1sGFPkPGUatei+ddnRKd3r+M4zt/Jy05FjtnX9r1m4ibb8nHQNi14+xZPZW4yOuYWTrQuOOb1G1ZeFxePbODo9vmkBgbRkF+HtYOHjRsP4xajXup02RnpXFww89cP7uLjNR4HNxq0L7fRJw96zzPqmo4tW8Zx3ao6m1fxZf2/R9f791/TyU24jrmVqp612ul/ft46cRm/lkwFt+AdvQdPUu9vCA/j4Mbf+Hi8Y2kp8RhZmlP7aDeNOs6GoVO+VzTPLTjL/ZuWkhKUixOrj70GvIxVauVfJxv+PN77t6+RFzUHVp0epXer4/XSHPu+E52rp9PXPRdCvLzsHNyp3W312nYokdZVKfikqcMlKkKP0KgPOTk5Dy3ddvY2GBubv7c1l/Rnd6zgJD9i2jV5zP6v/83pub2/DPnDXKy0krMExl6hu1Lx+JfvwcDx/2Df/0ebF/yPlF3zqrTXD+zhYPrp9Cg/VsM+GAdVbwasHHeSFITI9RpcnMycfasR1C3D0r8LHu3mrR75VteHb+ZHqMWoETJP3OHU1CQXzobADh/bAtbl0+l1Uuj+N/ktXj41WfpjFEkxUdoTZ8YG87SGW/h4Vef/01eS8vuI9my7FsuntihTnM2eCM7/55Bm55vM+bbzfR+42suHN/KztUzNNbl4OLDRz8dUL/e+fqfUqvX0zp8YDeL5v9CnwFD+H7mAqrXqsO3n39EbEy01vSXL56lTt0GTPxyGtN+nk/NOnWZOnk8t25eU6fJzc1l8qcfEBsdxbiJXzFz3p+8NeYjbGzty6paj3X26FY2/TmFNj1HMearNXj612fh96NIitO+//NyczA1t6ZNz1E4uftrTZOTk4Wtgytd+o/F3NLueRa/TOiampBy7ioX/29yeRflmZ09upWNf06hbY9RjPlatb//+H4UiSXt7zzV/m7bcxTOJezv3OwsbOxd6TygYu3vswcWcP7QIpr2+JReb6/C2NyOrb8PJyc7vcQ80XfOsHvFWHzr9uDlMevxrduD3cvHEhNW2L5H3jpBzaBB9Bj9F12H/05Bfh5b/xhObk6GOs2RzVMJv3aI1gOm0W/sZmo1f53gjd8Qeqn0OpKuPYgzHd7ilXHrqOJdPM48LDk+nA3zR1HFuwGvjFtHgw6jOLDuG26c3V5Yt9AzbFsylmoNejDww3+o1qAH2xZrxjczS0eadv+AAWNXM2Dsalx9m7D597eJj7yuTpOXnYmzVz2adi85vj1Ppw5vY/XCaXR6eQQTpq3Cp3o9fvtmNAmxkVrT5+XmYGZhTeeXR+Diof04z8vN5ZevRhEfE8GbH0xn0s8bGDTqc6xsHJ5nVR7p8skt7P57CkGd/8fQietx9anP37+NICVB+zGQFHeX1b+NxNWnPkMnrieo81vsWvUNV08XHgPGppYEdfkfgz9cybBPN1A7qA9blkzk1qXCzvptf35K6JVgug+dxhufbsSrejP++nkYqUna42Vpu3RiC7tWTaFp1//xxqeqeq/8ZQTJj6j3ql9U9X7j0/UEdXmLnSu/4cpD9X4gOf4ee1Z/h5tP8c6FI9vnc+bAX3QcOIkRX2yhTZ8PObbjd07uXVrqdXwSZ45sZf2SqXToNYJxU/7G278e86a+RWKc9uM8Py8HUwtrOvQaQZUS2nMTM0s69B7Je5P/5MPv1tCoVS/+mvMZV84efp5VEULDC9EhUFBQwEcffYSNjQ1OTk588cUX6veSk5MZOXIkDg4OWFhY0LZtW86eLQykN2/epGfPnjg6OmJmZkbDhg3ZtWuXxvo9PT35+uuvGTp0KJaWlowYMQIvL9WVh7p166JQKGjduvVjy5mfn8/YsWOxsrLC1taWjz76CKVSqZGm6JSBWbNm4evri5GREY6OjvTt21f9nlKpZNq0aXh7e2NsbExAQACrV6/W+Lzhw4fj5eWFsbEx/v7+/Pzzzxqft2/fPho1aoSpqSlWVlY0a9aMO3fuqN/fuHEj9evXx8jICG9vb7788kvy8vIeW9d/Q6lUcvbAEhq0f4uqdTpi6+xH+0FTycvJ4trpTSXmO3tgCW5+TWnQfhTWjt40aD8KV98mnD2wWJ0mZP8iajR+mZpN+mHjWJUWvSdiZuXE+cMr1GmqNehJo05v4+ZX8pXiWkEDcKnaEAsbVxxca9Kky3ukJUWSev/KTGkI3r6Yei370KBVPxyqVKXrqxOxsHHi+J6/tKY/vvcvLG2d6frqRByqVKVBq37Ua9GHw9v+UKe5ezMEd996BAR1x9reBZ9azajduBsRoRc11qWjo4e5lb36ZWphU2r1elob162ibcdutO/UHVd3T4aNHIOtnT07tqzXmn7YyDH06jsIH7/qOLu48errI3Gq4sqpY8HqNHt2biEtNYWPPvuWajVqY+/gRPWadfD09imjWj3eoa2LaNDqZRq17ouDS1VeGjwBS1tnju7Wvv9t7F3o8dpE6jfviZGx9s5EN+/adB34IQFBXdHVN3iexS8TsdsPcO3zn4hav7O8i/LMDm5dRMPWL9OoTV8cXarS47Un2N9DJlK/xSP2d9XadBv0IYFBXdGrIPtbqVRy4fASAtuMwqtWR2yc/Gjdbyp5uVncDCm5fb9weAkuPk0JbD0SKwdvAluPxKVqEy4cXqJO0+WN+fjV742Noy+2ztVo1fdb0pIiibtX2L7FhIXgW68nVbwbYW7tQvVG/bF18icu/EKp1TFkn2acaaklzmjULfgvzK2cadl7IjaOVanZpB81GvXhzN7Ctjtkf2F8s3kQ3/yaELK/ML551WqLZ41WWDt4Ye3gRVC399E3NNHoNKjW8PHx7XnavWkJQW1706zdyzi5etN32MdY2zlxcMcqreltHVzo98Z4GrfqgbGJmdY0R/auIyMtmVEf/UTVanWxta+CT/V6uHpq/2FVFk7sXkidpi8T0Lwfds5Vad//E8ytnThzQPsxEHLwL8xtnGnf/xPsnKsS0LwfdZr24fiuwmPA3a8xfoEdsHOuirW9Ow3avo6Diz/hN04BkJuTxdUzO2jT+0PcfBti7eBB8+7vYmXnypn9y8uk3sd3LSSg2csE3q93hwGfYGHtxJn92ut9Zv9fWNg402GAqt6BzfsR0KwPx3b8oZGuoCCfDb+Po8VL72Jl71ZsPfduheAb2A6f2q2xsnOlWv3OeNVoTuSd0vteP419m5fQuE0fmrRVtee9Xx+Pla0Th3eW3J73eX0CDVv2xKiE49ynRiPqNGyPo0tV7BzdadXlNZzd/bh19fTzrIoQGl6IDoHFixdjamrKsWPHmDZtGpMnT2bnzp0olUq6detGVFQUW7Zs4dSpU9SrV4927dqRkJAAQFpaGl27dmXXrl2cOXOGTp068dJLLxEWFqbxGd9//z21atXi1KlTfPbZZxw/fhyAXbt2ERkZydq1ax9bzunTp/PHH3/w+++/c+jQIRISEli3bl2J6U+ePMmYMWOYPHkyV69eZdu2bbRsWTgE8NNPP2XhwoXMnj2bixcv8v777zN48GD2798PqDpKXF1dWbVqFZcuXWLSpElMnDiRVatUATgvL49evXrRqlUrzp07x5EjRxg5ciSK+8Nwtm/fzuDBgxkzZgyXLl1i7ty5LFq0iG+++eYp9s6TS0kIJyM1Fnf/ZuplunoGuFRtSGTomRLzRYWGaOQBcK/WnKjQEEDVAxsTfhE3P800bv7NiHrEeh8nNzuDy8fXYmHjipmV079ez8Py8nKICL2ITy3NsvrUasbdG9rLevdGSPH0tZtxL/Qi+Xm5ALj71iMi9CLht84BkBBzl2vnDuBXp5VGvvjoO0x7ryXTx7Vn5ayxJMTcLZV6Pa3c3Fxu3bhGQN2GGssD6jXk6uUnC/QFBQVkZWZg9tCIm5PHDuFXrSYLZv3I8Fd78v7o11mzcin5+aU3wuNZ5OXlcC/0Er61Nfenb62m3LkeUj6FEs9NXl4O925fwrfI99fvP7i/UxPDyUyNw9VXs3139mpI9J2S2+HosLO4+jbVWObq14zosJLz5GSlAmBobKle5uhRnzuX95KeHI1SqSTi5jGS40Jx9Wv+b6uk4UGcKRaL/JuVGL9Kil0xdy+Sn59bchr/wvhWVEFBPtdObyY3OwNnz8B/V5lSlpeby91bl6keoLkfq9cJ4tbVkH+93nMn9+HlF8DKBd8y/s3WfD22N9vWzqegnNrz/LwcosIu4lVD85jyqt6Me7e0HwP3boXgVV1z/3rVaEHUnQvqY+BhSqWS0CtHSIi+jZuvKj4WFOShLMhHV99QI62evhHhN5//j8YS612jGeE3H1HvGo+v96FNv2FibkNA835a1+PmU587V44SH30bgOi7V7h74xRVa7XSmv55ysvLJfz2JfzraB7n/nWaEnrtbAm5no5SqeTahaPERoaWOA2h0tDRqbiv/6AX4h4CderU4fPPPwfA19eXX3/9ld27d6Orq8v58+eJiYnB0FDVUP7www+sX7+e1atXM3LkSAICAggIKJyT/PXXX7Nu3To2bNjAO++8o17etm1bxo0bp/47NDQUAFtbW5ycnuzH4E8//cSECRN4+eWXAZgzZw7btxcfHvVAWFgYpqamdO/eHXNzczw8PKhbty4A6enpzJgxgz179hAUpOrx9/b25tChQ8ydO5dWrVqhr6/Pl19+qV6fl5cXwcHBrFq1iv79+5OSkkJycjLdu3enatWqAFSvXjin8JtvvmH8+PG8/vrr6vV/9dVXfPTRR+rtXZoyUmIBMDa31VhubG5b4pBLgIzUOIzNiuQxsyX9/voy0xNRFuRjUmS9Jua2ZKTGPXU5zx9eTvDGH8jNycDawZueb/2Brl7pXIXLSE2ioCAfMwvNYb5mFrakJmsva1pyHGYWtkXS21GQn0dGWiLmVg7UadKNjNREFnwzGCVKCvLzaNT2FVp2H6HO41q1Di+PmIqtkyfpKXHs2zCH+V8P4t1vN2BiZl0q9XtSqSnJFBTkY2ml+bmWVjYkJSY80To2rltJVlYWTVu0VS+LjorkQvQZWrRuz8QvphEZEc6C2T9SkJ9Pv0FDS7MK/8qD/W9eZH+aW9pyrYT9L15c6u+7ZZHvr6UtqUn/rf2deb+tNTbTbNuMzWxJTSq5fc9Mi9OSx67EtlupVHJ0y3c4etbHxslPvbzpSxM5uHYSy6e2RqGjh0KhoGWfr3DyLJ2T6pLijLG5LRkp2suakRqLsbnmjygTc1sKCvLISkvE1NKBjNQ4rbHrQXx7IC7iKqt/HkheXjb6BiZ0e+NXbJwqxsintNRECgrysbAq0q5Z2ZLyDMd5fHQ41y4cp2HzboyeMIuYqDusWvAtBfn5dO331rMW+6llpGk/BkzN7UhPjtWaJz0lDlNzzeP7wTGQmZaImaVq+kN2Ziq/TWhJfm4OCh0dOg78XN2RYGhkRhXvugRvmYWtkzemFnZcPrGJiNCz2Nh7PIeaanpQb1MLLfVO0V7vtJQ4vIvU29RCs97hN05x7vBq3vhsfYmf3aTTCLIzU5n3eRd0FLoUKPNp1fN9ajbq/sz1elrpKarj3NyyePxOecb4nZmRyhej25KXl4uOjg59h31arONBiOfphekQeJizszMxMTGcOnWKtLQ0bG01v5yZmZncvHkTUP2w/vLLL9m0aRMRERHk5eWRmZlZbIRAgwYl3xjlSSQnJxMZGan+8Q6gp6dHgwYNik0beKBDhw54eHjg7e1N586d6dy5M71798bExIRLly6RlZVFhw6aN87LyclRdxqAqtNhwYIF3Llzh8zMTHJyctQ3QbSxsWHo0KF06tSJDh060L59e/r374+zszMAp06d4sSJExojAvLz88nKyiIjIwMTExOt5c7OziY7O1tjWW6uAfpFeq+vntrIvr8LOxa6vzkHQD1CQU0JCh5985BiebQt07Lef3NTEr96L+Hm15T0lFjO7PuDbUve4+V3V6BXpH7PpGhRlcpHb4Mi9VDy4JhSLb99+Tj7N86l+5DPcPUOICHmDluWTcHMchZteo4GwK9Oy4fW4IebTyA/ftiJM4f+oVnnoc9Wn3+p+LGgfKJ9dmjfLlYtW8jHn32r0amgLCjA0sqKUe9+iK6uLlV9/UlMiOOfNSsqRIeAWtH9qVRqPcbFf0Pxffvi7+8bZzZycP0X6r87vz4bKNa0oeQxbZu2XI/4PgRv+IqEyKu89NYyjeUXg/8k5u5ZOg6ZhZlVFaJun+TwP5MxsbDHxacUT6y1lesR+7JoPdSnAw8tf5L4Zu3gxSvj1pGdmcLNczvYuXw8L7+ztMJ0Cqg8+X58EkqlEnMLGwaNmoSOri7uVWuQnBDLrg2LyqVD4IFi+5THxC0t3//7b6iXGBiaMmzienKyM7hz9Qh7Vk/Fys4Nd7/GAHQfOo2tSycya0JLFDq6OLnVoEbD7kSHXSqFGj0pbechT1HvwoOf7Kw0NvzxIV1e+woTs5KnLl4+uYULxzbQc/h07Kr4EH33MrtWTcHMyoE6Qb3/XTWeUbH2rBTit6GRKeOmriEnK4NrF46y/s/vsXV0xadGo8dnFqIUvBAdAkXvyq9QKCgoKKCgoABnZ2f27dtXLI+VlRUAH374Idu3b+eHH37Ax8cHY2Nj+vbtW+zGgaamps+r+CUyNzfn9OnT7Nu3jx07djBp0iS++OILTpw4QUFBAQCbN2/GxcVFI9+D0RCrVq3i/fffZ/r06QQFBWFubs7333/PsWPH1GkXLlzImDFj2LZtGytXruTTTz9l586dNGnShIKCAr788kv69OlTrGxGRkYllnvKlCkaIxMAOg+cRNdXv9BY5lWzDY7uhZ05+fmqbZ6REoepReFNgTLT4ouNGniYiXnxq0WZafGY3O99Nja1RqGjW+wqTUZaPCZmJa+3JIbG5hgam2Nl74mTRwDzP23MrfM78av37D3SJuZW6OjoklakNzk9NaHYVcQHzCztiqdPiUdHVw8TMysAdq+bSUDTHjRopRp25+TmR052JhsWfU6rl95CR8sQJwNDExzdfImPDn3mej0tcwtLdHR0i40GSE5OxKrIqIGiDh/YzayZ3/HB+MnUqavZkWdtY4uurh66urrqZS5uHiQlJpCbm1vuT/h4sP+LjgZJS0koNgpEvPjU+7vIVdK05JK/7y8K9xpt6eOmpX1Pi8PkofY9Ky2h2Aivhxmb2ZGZpnmVMTM9Xmuewxu+5s7lvXQfuRQzy8KRe3m5WZzY8RMdBs/EvVprAGyd/YmPvMy5AwtLpUOgpDiTmRpf7IrxAybm9sXTp8Wjo6OHkanV/TR2pBeNXamF8e0BXT0DrO5fDXZ0r0102AVCDiyhbf/yv/Gmmbk1Ojq6xUYDpCYnFLua+jQsrOzQ1dND56H23MnVi5SkOPJyc9Er4/bcxEx1DGjbX6YW2m/uaWpR/Cp6RmoCOjp6GN+P3wAKHR2sHe7vX7fqxEfe5Mi2eeoOAWt7dwaN/ZOc7AxystIws3TgnwXvYWnnWoo11O7f1NtMS73TH6p3XMQNkuPv8fdv/1O/r1Sqznun/q8GoyZvw9renT1rphHUaSQ1GnYDwMHFn5T4CI5snVvmHQKmFveP8yLxOzUlodiov6elo6ODvZM7AC6e1YiOuMWufxZU6g4B5Qveaf6ieaEnQtSrV4+oqCj09PTw8fHReNnZqRqpgwcPMnToUHr37k3t2rVxcnJSTwd4FAMD1RDxJ517bGlpibOzM0ePHlUvy8vL49SpU4/Mp6enR/v27Zk2bRrnzp0jNDSUPXv2UKNGDQwNDQkLCytWNzc3N3XdmjZtyujRo6lbty4+Pj7qkREPq1u3LhMmTCA4OJhatWqxfPly9fa7evVqsfX7+Pho/QH5wIQJE0hOTtZ4deg/oVg6AyMzrOw91C8bRx9MzO25e63wJnD5eTncu3kCZ8+6xfI/4OQZyN2rwRrLwq4exun+/EldPQMcXGtqrBfg7rVgnB6x3iemVJKfVzpPntDTM6CKZ01uXtQs682Lwbj5aC+rm09gsfQ3LhzGxbMmunqqE6Lc7EwUOpqNp46O7v3RKdpHqOTl5hAbcQtzq7K/A7++vj7ePn6cO3NSY/m5Myfxr16rxHyH9u3itx+n8N6Hk6jfqPjNs/xr1CYq8p66Qw0g8t5drG1sy70zAFT738WzBjcuFN2fwXj4BpZPocRzo6dngItXDa4X2d/X/wP728DQFEs7D/XL2sEHY3M77l3XbN8jb5/A0aPkdtjRPUAjD0D49WAc3QvzKJVKDv/zFaEXd9LtzYVY2Gj+CCrIz6MgPxeFQjNuKXR01T8ynlVJcSbsWnCJ8cvJM5CwoumvHsbBrSa6uvrqNMXW+VB8K1npxaVnpaevj5t3da6cO6Kx/Mq5o3j7B/7r9XpXCyQ26q5Gex4TcQdLa/sy7wwA1THg5F6T0Muad38PvRyMi7f2Y8DFO5DQy5r79/alQzh51FIfA9ooS9i/BoYmmFk6kJWezO1Lh/Ct0+5f1OTpPKj37SL1vn05GNeqJdf79iPqbevkzZuTNjL80/Xql2+dtnj4NWb4p+uxsFZ1+OXmZBU7t1Goz23Klp6ePq5eNbhW5Di/dv4Inn7aH5f8rymV5OVWjO+3qBxeiBECJWnfvj1BQUH06tWL7777Dn9/fyIiItiyZQu9evWiQYMG+Pj4sHbtWl566SUUCgWfffaZRnApiYODA8bGxmzbtg1XV1eMjIywtLR8ZJ7/+7//Y+rUqfj6+lK9enVmzJhBUlJSiek3bdrErVu3aNmyJdbW1mzZsoWCggL8/f0xNzdn3LhxvP/++xQUFNC8eXNSUlIIDg7GzMyM119/HR8fH5YsWcL27dvx8vJi6dKlnDhxQv2EhNu3bzNv3jx69OhBlSpVuHr1KteuXWPIENXzqidNmkT37t1xc3OjX79+6OjocO7cOc6fP8/XX39dYrkNDQ3VoxQe0Nd/fOOsUCgIaDmEk7vmYmmn6iQ4uWsuegZGGlffdy7/GFMLB/XjkwJavMba317j1O75eNdqx60Luwm/doQ+7xYOGQ1sNZSdyz/Gwa0WTp6BXDyyirTESGo1LXzec1Z6EqlJkaQnxwCQFKO6SY2JuR2mFvYkx9/l+pktuPs3w9jMhrTkaE7vWYCuviEe1UvvBjZNO73OmnnjqeJZCzefQE7uW0VyfCSN2gwAYMffM0hJjKbvyO8AaNTmFY7tWs7WFVOp36ofd2+EcPrAWvq99YN6nf6BbQjevghn9+q4VQ0gPvoOu9fOpFrdNujoqK6ubPtrGv6BrbGyrUJaSjz7N8whOzONus16lVrdnsZLvfvzy/Rv8Pb1x79aTXZu20hcbAwdu/YEYNmiucTHxzHmg08AVWfALzO+YdjIMfj61yAxIR4AA0NDTE1Vd+/t1LUnWzeuYeHcmXTp8TKR98JZu+pPur70crnUUZvmXYayas7HuHjVxMMnkGN7/yYpPpLG7VT7f9vKGSQnxjDgranqPBF3LgOQk51BekoCEXcuo6unj6OLarhwXl4OMfdUnYH5ebmkJEYTcecyBkYm2Dk+/zmmpU3X1ARTH3f13yZerlgEVCMnIZmsu9of71RRtegylJWzP8bVuybuPoEcv7+/m9zf31tXziClhP2dnZ1Beuqj93deXi4pCff3t6EJdk7ls78VCgW1mg0hZN88LOw8sLT1IGTfPPT0jagaWNi+7131MaYWjjTqPBaAWs2GsHHea4Tsn49n9XaEXt7NvRtH6DHqT3Wew/9M5ubZzXR87Vf0DU3JSFVdeTQwMkdP3wgDIzOcvRpybOv36Oob3Z8ycILrp/+hSbfiz7b/twJbD2XnsofiTLBmnAneNJ205Bg6vqpqu2s1fYVzh5ZxcP0Uagb1Jyo0hEvH1tDptcK2O7Dla6z5VRXfvGq14/b9+PbymML4Frx5Bh7VWmJu7UROVjrXz2zh3o3j9Bg1X52maHxLLBLfnrd23Yew+JeJuFetibdfAId2rSYhLpLmHVWj1v5Z9jNJCdG8/u636jx3b18BIDsrg9SURO7evoKenj7Obqp7HrXsOID9W1eweuF3tOoykNjIMLavW0DrLoOee31K0rDdMDYt+ggnj1pU8arL2UMrSUmMJLCF6hjYv346qUnRdB86DYDAFq9wet8ydq+eQkCz/kTcPsO54DX0eGO6ep1Hts3FyaMW1nbu5OfncPPCAS4e/YeOA79Qp7l16SAoldg4epEYG8a+tdOwcfSidtPiIzyfh0bth7Fx4Uc4e9TCxbsuIQdXkpIQSd2WqnrvW6eq90vDVPWu2+oVTu1bxq5VUwhs0Z97t85w9vAaer6pqreeviH2Ln4an2FkYgGgsdy3ThuCt8zBwqYKds6qKQPHdy0koGn5xPTW3Yaw7LcJuHnXxNMvgODdq0mMi6Rpe1V7vmnFjyQnxvDq6CnqPPdCC4/ztNRE7oVeQVdPHydX1XG+a/183LxrYuvoRn5eLpdDDnLi4Eb6vfFp2VdQVFovdIeAQqFgy5YtfPLJJ7zxxhvExsbi5OREy5YtcXR0BODHH3/kjTfeoGnTptjZ2fHxxx+TkpLy2HXr6ekxc+ZMJk+ezKRJk2jRooXWqQkP++CDD4iMjGTo0KHo6Ojwxhtv0Lt3b5KTk7Wmt7KyYu3atXzxxRdkZWXh6+vLihUrqFmzJgBfffUVDg4OTJkyhVu3bmFlZUW9evWYOHEiAG+99RYhISEMGDAAhULBwIEDGT16NFu3bgXAxMSEK1eusHjxYuLj43F2duadd95h1KhRAHTq1IlNmzYxefJkpk2bhr6+PtWqVePNN998ou3/b9Rr+yZ5uVnsXzOZ7MxkHN3r0HPU7xgYFT6OJTUxQmM+lrNXPTq9Np2jW3/m2LaZWNq60WnIDJw8Cntkfet2JSsjiRM7fiM9JRZbZ1+6j5iLhU3hdIvbF/ew+6+J6r+3L1WdkDbs+DaNO7+Lrp4BkbdOcfbAErIzUzAxt6WKdwP6jllR4pDQf6N2465kpCWx759ZpCbH4ujiy2tj52BlpyprWlIsyfGFP3qs7V15bewctq6YyrHdyzG3cqDrqxOp2bCjOk2rHm+BQsHutTNJSYzG1NwG/8DWtH/5PXWa5IQo/p4zjozUJEzMrXGrGsDIz/5Sf25Za9ayHakpKaxesZjEhHjcPbyY+OV32DuorgwkJsQTF1v4jOUd2zaQn5/Pgtk/smD2j+rlrdt15p2xqv1qZ+/IZ19NZ9H8X/ng7WHY2NrRtUdfevUtvxPIogKadCEjLYnd62eTmhSLk6svQ8fNxfr+fkhJiiMpXvNH78xPC09+7t2+SMiRzVjZVWH8j6pHqKYkxmqkObBlIQe2LMSrWkNGfbKYF41l/VoE7S58znSNH1T79+6StZwbXnw0UkUW0KQLGalJ7F43m5T7+3vYh4X7OzUpjqQiz7D++ZMi+zt4M9Z2VRj/U+H+fjjNg/3tXa0hoz4tv/0d0PJN8nOzOfzPZHIyU7B3q0OXNxZgYFg4JS89KVLjSr6jR13avjKdkzt/5tTOX7CwcaPdwOk4uBe275ePqR7ptWn+6xqf16rvt/jVVw0bbjtwOie2/8jelR+SnZGMmXUVGnR8j+qNX6G0+NXtSlZ6Ese3F8aZl0YWxpn0lFjSHrpBrqWtKz1GzOXg+qmcO7QcM0sHWvb+BJ+ATuo0zl716PzadI5s/ZmjW+/Ht9c141tmajw7l31Eekoshsbm2Dr702PUfI2nE9y+uIddKx6Kb0tU8a1RJ1V8e97qN+tMeloSW1fPJSUxFmc3H0ZP/A1b+yoAJCfGkhgXpZFn6kf91f8Pu3WJk4e2YGNfha9mbQPA2s6Jdz6dy5rF0/h2XF+sbBxo3fVVOvZ847nXpyTVG3QlMz2Rw5tnkZ4Sg52zH/3enoel7f34nRxLSkLh99nKzo2+b89jz+opnNm/DDNLB9r3/wT/eoXHQG52BjtXfElqUhR6+kbYOHnTfdj3VG/QVZ0mOzOVA+tnkJoUhZGJFf51O9Ky5/uPHGVQmmo0LKx3WnIM9lX86P/Oo+vd/9157Fo1hdP3691hwCdUe6jeT6LDK59y4J+f2b78SzJS4zGzdKBuiwE07/52qdbvSdUN6kJ6ajLb184hJSkWZzdfRn48G5v7x3lKUhyJRdrzHyYUPk48/PYlTh9WteeTftkBQE52JqsXfk1yfDT6BoY4VPFi8NtTqBvUpewqVhEpXuhB7C8chbI8xt2I/5xfNlfOw8jRpnLWu7q99jsL/9fdSNA+X/K/zqBZjfIuQrnIDS7LG3ZVHDfuVs65m0ZGlbPe1Vwr59DksLhSvFHwC+Q/+tS0x3KwKP6Yx8qga73yny75b6QfWV/eRSiRaVCv8i5CqaukzYIQQgghhBBCCFG5vdBTBsqamZlZie9t3bqVFi1alGFphBBCCCGEEOK/RSlTBsqUdAg8hZCQkBLfK/poQCGEEEIIIYQQoiKTDoGn4OPjU95FEEIIIYQQQgghSoV0CAghhBBCCCGEqBgUlfMmr+VFJmgIIYQQQgghhBCVkHQICCGEEEIIIYQQlZBMGRBCCCGEEEIIUSHIUwbKlmxtIYQQQgghhBCiEpIOASGEEEIIIYQQohKSKQNCCCGEEEIIISoGecpAmZIRAkIIIYQQQgghRCUkHQJCCCGEEEIIIUQlJFMGhBBCCCGEEEJUDPKUgTIlW1sIIYQQQgghhKiEpENACCGEEEIIIYSohGTKgBBCCCGEEEKICkEpTxkoUzJCQAghhBBCCCGEqISkQ0AIIYQQQgghhKiEZMqAEEIIIYQQQoiKQZ4yUKZkawshhBBCCCGEEJWQdAgIIYQQQgghhBCVkEwZEEIIIYQQQghRISiRpwyUJRkhIIQQQgghhBBCVELSISCEEEIIIYQQQlRCMmVACCGEEEIIIUSFoJSnDJQp2dpCCCGEEEIIIUQlJCMERKnQ062cN/8Ii1SWdxHKRdfT08u7COUiusVX5V2EcpEWfKm8i1Au9JvWKO8ilIt/ui4o7yKUi1fealHeRSgXysoZxmjnfrW8i1AukpXW5V2EcnEz0ba8iyBEhSUdAkIIIYQQQgghKgaZMlCmZGsLIYQQQgghhBCVkHQICCGEEEIIIYQQlZBMGRBCCCGEEEIIUSEoFZXz3mTlRUYICCGEEEIIIYQQlZB0CAghhBBCCCGEEJWQTBkQQgghhBBCCFEhKOUpA2VKtrYQQgghhBBCCFEJSYeAEEIIIYQQQghRCcmUASGEEEIIIYQQFYM8ZaBMyQgBIYQQQgghhBCiEpIOASGEEEIIIYQQohKSKQNCCCGEEEIIISoEecpA2ZKtLYQQQgghhBBClLJZs2bh5eWFkZER9evX5+DBg0+U7/Dhw+jp6REYGPh8C4h0CAghhBBCCCGEEKVq5cqVvPfee3zyySecOXOGFi1a0KVLF8LCwh6ZLzk5mSFDhtCuXbsyKad0CAghhBBCCCGEqBCUKCrs62nMmDGD4cOH8+abb1K9enV++ukn3NzcmD179iPzjRo1ikGDBhEUFPQsm/GJSYeAEEIIIYQQQghRSnJycjh16hQdO3bUWN6xY0eCg4NLzLdw4UJu3rzJ559//ryLqCY3FRRCCCGEEEIIIR4jOzub7OxsjWWGhoYYGhpqLIuLiyM/Px9HR0eN5Y6OjkRFRWld9/Xr1xk/fjwHDx5ET6/sfqbLCAEhhBBCCCGEEBWCUqFTYV9TpkzB0tJS4zVlypQS66JQaE4zUCqVxZYB5OfnM2jQIL788kv8/PxKfZs+iowQEEIIIYQQQgghHmPChAmMHTtWY1nR0QEAdnZ26OrqFhsNEBMTU2zUAEBqaionT57kzJkzvPPOOwAUFBSgVCrR09Njx44dtG3bthRrUkg6BIQQQgghhBBCiMfQNj1AGwMDA+rXr8/OnTvp3bu3evnOnTvp2bNnsfQWFhacP39eY9msWbPYs2cPq1evxsvL69kLXwLpEBBCCCGEEEIIUTFoGVL/Iho7diyvvfYaDRo0ICgoiHnz5hEWFsZbb70FqEYb3Lt3jyVLlqCjo0OtWrU08js4OGBkZFRseWmTDgEhhBBCCCGEEKIUDRgwgPj4eCZPnkxkZCS1atViy5YteHh4ABAZGUlYWFg5l1I6BIQQQgghhBBCiFI3evRoRo8erfW9RYsWPTLvF198wRdffFH6hSpCnjLwH7Jo0SKsrKyeeT0KhYL169c/83qEEEIIIYQQ4mko0amwr/8iGSHwHzJgwAC6du1a3sV4KmcPLuPUnt9JT4nF1smXVn0m4lK1QYnpw28c58C6qcRHXcfU0oEGbd+kTvOB6vfjI69zZMtMosMvkppwj5a9J1Cv9dAS13d851yCN80gsNUQWvf5pDSr9khKpZLTu3/jyvFVZGem4OBWh6Y9P8PG0feR+W5f2MHJnTNJiQ/DwtadBh3/D6+aHdTvXzq6gsvH/iI18R4A1g4+1Gs3Gjf/lhrruHx8FXH3LpKdkUSfd9diW6X686noY6w6d5ulp28Ql56Ft40541rWpq6LbYnpc/LymX/8KluuhhOfno2DmRHDG/rRs6aHOs3yMzdZff42UamZWBkb0M6nCu80rYGhnm5ZVOmJHNj+F7v+WURyUhzOrlXpO+wjfKrX15o2OTGWtYt/IOzWJWKjwmjdZRB9h31cLF1GegobV/xCyLHdZKSnYOvgQp8h46hVr8Xzrs4TO7JzBfu3/EFqUiyOLj68NHg8XtW0f99TEmPZvHwa4bcvEh99h6YdB9PjtQkaaaLCr7Nzza/cu32RxLgIug8eT4vOQ8qiKs+FTfMGeH8wHMt6tTCq4sDJl0cTvWF3eRfrmQx7xZ0enZwwN9Xj0rVUZsy9SejdjBLTt2xiy2v93HBxMkZPT0F4RCYr/7nH9n0xGut8Y6CHRr74xBx6DT323OrxwLlDyzh9P2bZOPnSsvfjY9bB9VNJuB+z6rd9k9rNBmqkuXF2O0e2/ExyXBiWdu407fY+Vet00EiTlhTN4Y3fc+fyQfJys7Cy96T9wG9wcFPNKz269Reun9lMalIUurr6OLjVJKjr+zh5BpT+RijBge1/sXtDYbv28tDHtGtLfuDu/XatVZdB9B1acrt29vhD7dpr46hZgdq1DZu28PfatSQkJOLh7s7/Rr5J7Vo1taa9cPESCxYu4m74PbKzs3FwsKdb58683Lv4DcYA9u4/wJRpPxDUpDFfflZ25yhPYvvmdfyzdgVJCfG4unsybMQYqtfSfrwdC97P9i3rCb11nbzcXFzdveg/aBiB9RtrpEtPS2XF0vkcC95PeloaDo7ODBn+NvUaBpVFlZ7IkV0rOLD5D1KTVXGs++DxePmXEMeSVHHs3kNx7KXBmnEsOvw6O9b8yr3QiyTFRdD91fE0f4HjmHgxSYfAE8jNzUVfX7+8iwFATk4OBgYGxZbn5uZibGyMsbFxOZTq37l6egv7102hbb/PqeJVj3PBf7F+zghem7AZC5sqxdInx99l/dyR1ArqR+fXvifi9mn2/P0lxmY2+AZ2AiA3JxNLO1d863Zm/7qSnwkKEHXnHBeCV2JXxf+51O9Rzh5YwPlDi2jV91ss7Tw5s3cOW38fTr8PtmJgaKo1T/SdM+xeMZYGHcbgWaM9oZd2sXv5WHqM+hMHd1UQNrV0omGnsVjYugNw/fQ/7Fj6Dr3fXaPubMjLycTJoy7etTtxcO2ksqmwFjuu3WP6gfOMbx1AYBUb1lwI5d0NR/h7cFuczU205hm/9STxGdlMaheIm5UZCRnZ5CuV6ve3XLnLL8GXmNS+LgHONtxJTOOLXacB+KBl7TKp1+OcOryN1QunMWDEJ1T1r8uhnX/z2zej+ezH9djYOxdLn5ebg5mFNZ1fHsGeTX9qXWdebi6/fDUKcwsb3vxgOla2jiTGRWFkrP1YKg9nj25l459T6DV0Eh5+dTm2ZxV/fD+Ksd9txNqu+Pc9Ly8HU3Nr2vYcxaFti7WuMzc7Cxt7V2o36sSmP6c+7yo8d7qmJqScu0r44rXU//vX8i7OMxvUx5UBPV349udr3I3I5PX+7vw4uRaDRp8iMzNfa56UtDyW/H2XsPAMcvOUNG1gw/gxfiQm53D8TJI63a076bw/qfBuzAUFz7s2cO30Fg6sm0LrvqqYdSH4LzbMHcHgCZsxt9YeszbMG0mtJv3oNFgVs/atVsUsnwBVzIq8fYati9+nSZf/o2qd9tw8t4uti96j75jl6h/zWRnJ/P3zQFx9G9Nj1HxMzGxIjr+LgbGF+rOsHTxp9fIkLG3dyMvN4sz+Rayf8wZDPt2JiZnNc982p4K3sWbRNAa8+Qne/nU5tOtvZn07mk9/XI+NnfZ2zdzCmk59RrB3cwntWl4uv36tateGj52Ota0jifFRGBpVnHZt34GDzJm/gHdHv0XN6tXZvG0bn3z+JQtm/4aDg32x9EZGhvTs3g0vLy+MjAy5cPESP/86CyMjQ7p16ayRNjomhvm/L6RWzRplVZ0ndvjAbhbOn8mI/43Fv0Ztdm7dwDdffMiPs5Zi71D8cWqXLpwlILABg4aMxNTUjL27tjD1q/FMmT4Xr6qq563n5uby1WdjsbC04oMJX2Fr50BcbAzGxtrPB8rD2aNb2fTnFHoOnYSnb12O7V3Fwu9HMXbqRqy0xbFcVRxr84g4lpOTha2DK3UadWLTshc/jokX0ws57kGpVDJt2jS8vb0xNjYmICCA1atXU1BQgKurK3PmzNFIf/r0aRQKBbdu3QIgOTmZkSNH4uDggIWFBW3btuXs2bPq9F988QWBgYH88ccfeHt7Y2hoiPKhHx3atG7dmnfffZf33nsPa2trHB0dmTdvHunp6QwbNgxzc3OqVq3K1q1b1Xny8/MZPnw4Xl5eGBsb4+/vz88//6yx3qFDh9KrVy+mTJlClSpV8PPzIzQ0FIVCwapVq2jdujVGRkb8+eefWqcMbNy4kfr162NkZIS3tzdffvkleXl56vevX79Oy5YtMTIyokaNGuzcufOp9sWzOL1vITWbvEytoH7YOFWldZ9PMLN24tzhFVrTnzv8F+bWzrTu8wk2TlWpFdSPmo37cGrvH+o0Th51aNHzY/zrdUNXr3jHyQM52elsW/oh7V/5GkMTy1Kv26MolUouHF5CYJtReNXqiI2TH637TSUvN4ubIZtKzHfh8BJcfJoS2HokVg7eBLYeiUvVJlw4vESdxqN6G9yrtcLK3gsrey8adnoPfQMTYsIKj2/fej2p1+5tXHyaPtd6Ps6fZ27Qs6YHvWt54HV/dICjmTGrz4VqTR8cGs2pe3HM7NmExu4OVLEwoZaTNQHOhSe756MSCXC2oYu/K1UsTAjycKCTnyuXYpLKplJPYPemJQS17U2zdi/j5OpN32EfY23nxMEdq7Smt3Vwod8b42ncqgfGJmZa0xzZu46MtGRGffQTVavVxda+Cj7V6+HqWfadXSU5uHURDVu/TKM2fXF0qUqP1yZgaevM0d1/aU1vY+9CjyETqd+iJ0bG5lrTuFWtTbdBHxIY1BU9/ZK/7y+K2O0HuPb5T0StL7t2+Hnq/5ILS/6+y4Gj8dwOy+Cbn65iaKBLh5bFfyg9EHIhmYNH47kTnklEVBarN0VwKzSd2tU12+n8fCUJSbnqV1JK7vOuDmf2LaRm48KY1bLPJ5hZOXHukPaYdeHwX5hbOdPyoZhVo3EfTu8pjFkh+xfj7teUhh1GYeNYlYYdRuHq14SQ/YU/Hk7tno+5tRMdBk3ByaMOFrauuPkFYWXnrk7jX/8l3P2bYmnnhq2zLy16TSAnK434iKvPb4M8ZM/9dq3pg3Zt6OPbtb7DVO2aUUnt2h5VuzbyQ1W7ZmNfharVKla7tmbdP3Tu2J4unTri7u7G/0aOwN7Ojo1btmhN71O1Km1at8LTwx0nR0fat21Dg3p1uXDxkka6/Px8pn4/nddeHYizk1NZVOWpbFq/krYdutGu00u4unkybOQY7Owc2LFlndb0w0aOoWffV/Hxq46zixuDXh+FcxVXTh4/rE6zd+dm0lJT+OjTKVSrUQd7Byeq16yDp7dPWVXrsQ5tXUSDVi/TqHVfHFyq8tLgJ4hjr02kfvNHxDHv2nQd+CEBQV3R/Q/EsdKiVCgq7Ou/6IXsEPj0009ZuHAhs2fP5uLFi7z//vsMHjyYgwcP8sorr7Bs2TKN9MuXLycoKAhvb2+USiXdunUjKiqKLVu2cOrUKerVq0e7du1ISEhQ57lx4warVq1izZo1hISEPFG5Fi9ejJ2dHcePH+fdd9/lf//7H/369aNp06acPn2aTp068dprr5GRoRou+aADY9WqVVy6dIlJkyYxceJEVq3SDKC7d+/m8uXL7Ny5k02bCn8wfvzxx4wZM4bLly/TqVOnYuXZvn07gwcPZsyYMVy6dIm5c+eyaNEivvnmG/Xn9+nTB11dXY4ePcqcOXP4+OPiQ/aeh/y8HGLuXsTDv7nGcg//ZkTePqM1T1RoCB7+zTTTV2tBTNgF8vOf7mRw79+T8arRCnf/sv9RnJoYTmZqHK6+hXXR1TPA2ash0Xe01x0gOuwsrr6a5XX1a0Z0mPY8BQX53Dy7mdycDBzdA0ul7KUlN7+AKzHJNHHX/GHQxN2Bc5EJWvPsvx1FDUcrFp+6Tufft9N7yS5+PHiBrLzCK42BVWy4HJPEhahEAMKT0zkcGk1zz+JXLMpDXm4ud29dpnqA5n6sXieIW1dD/vV6z53ch5dfACsXfMv4N1vz9djebFs7n4J87Vdhy1peXg73bl/Ct5bm99evVlPuXA8pn0KJ58rZ0QhbGwNOnElUL8vNUxJyMZla1SwekVNT/TpWuLkYc/ZissZy1yrGrFvYiJXzGvLFuGo4OxqVWtm1yc/LISb8Iu7VNGOWe7VmRIZqb4MjQ0Nwr6YlZt0tjFmqNM2LpXl4nbcu7MHBrRZbFo5h/qdBLP++FxeOaP+h/aCsF4NXYmBkXiYj4PLySm7Xbj9Du3b+1D68fANY+fu3TBjRmm8+6M32tfMpKKgY7Vpubi7Xb9ygXt26Gsvr16vLpctXnmgdN27e5NLlK9SprflIsWUrVmJpaUmXTh1LrbylJTc3l1s3rhFQt5HG8jp1G3L1yoUnWkdBQQGZmRmYmRW2BSePHcavWk0WzJ7Bm4N7MHb0ENauWkJ+RYpjoZfwra35nfaVOCb+A164KQPp6enMmDGDPXv2EBSkmlPk7e3NoUOHmDt3Lh9++CEzZszgzp07eHh4UFBQwF9//cXEiRMB2Lt3L+fPnycmJgZDQ0MAfvjhB9avX8/q1asZOXIkoBqav3TpUuztS76SUVRAQACffvopoHqu5NSpU7Gzs2PEiBEATJo0idmzZ3Pu3DmaNGmCvr4+X375pTq/l5cXwcHBrFq1iv79+6uXm5qasmDBAvVUgdDQUADee+89+vTpU2J5vvnmG8aPH8/rr7+u3k5fffUVH330EZ9//jm7du3i8uXLhIaG4urqCsC3335Lly5dnrjO/1ZmeiLKgnxMLDTni5uY25GRGqs1T3pKHB7V7DTTW9hSUJBHVloippYOT/TZV09vJib8EgM/WP3vCv+MMlPjADA206yLsZktqUkRJedLi9OSx46M++t7ICHqGv/MHkh+Xjb6BiZ0GPwL1o4Vp4cdIClTNdTf1kTzJN7WxJD4jCytee4lZxASkYCBri4/dGtEUlYOU/eeJSU7l8/bq07IOvm5kpiZw/DVB1EC+QVK+tb2ZFgDv+ddpSeSlppIQUE+Flaax725lS0pSXEl5Hq8+Ohwrl04TsPm3Rg9YRYxUXdYteBbCvLz6drvrWct9jPLSE2ioCAfM0vNeptZ2pL6DPUWFZettWqaXUKyZmdtYlIOTg6P/vFuaqLL2j8aY6CvIL8AZsy5wcmzSer3L11L5ZufrnI3IhNrKwNe7+fG7O8CGPLuKVJS80pe8TNQxyxzLTErRXvMykiNw8S8SMwy14xZqjRF12lL+kPrTIm/y/nDK6jbehgNOrxF9J1z7F/7Nbq6BlRv1Eud7vbFvWxbPJbc3ExMLezpPfoPjMtgukBaiqpdMy/y/Ta3LIV2LVbVrv1vwixiIu+w6vdvKSjIp0vf8m/XUlJSKCgowLrIyExrK0sSE5MemXfQkGEkJyeTX1DA4EGvaPzwv3jpEtt27GT2Lz8/Yg3lJzUlmYKCfKysrTWWW1lbk3Rae4d+URvX/UV2VhZNW7RVL4uOjuDCuSiat+7AhC++J+reXRbM+ZH8/Hz6DRxWqnX4Nx7EMXOL4sf5tWSJY+LF9sJ1CFy6dImsrCw6dNC84U5OTg5169albt26VKtWjRUrVjB+/Hj2799PTEyM+gf2qVOnSEtLw9ZW8wudmZnJzZs31X97eHg8VWcAQJ06ddT/19XVxdbWltq1C+ctOzqqrlLGxBTeHGnOnDksWLCAO3fukJmZSU5ODoGBgRrrrV27ttb7BjRoUPKNjEBV1xMnTqhHBIBqGFpWVhYZGRlcvnwZd3d3dWcAoO5keZTs7Gyys7M1luXmGKJvYPjYvMUVHXqj1LLs4eRF3nswleMJh/CkJkayf8039B79B3r6/6a8T+/GmY0cXP+F+u/Or88GtNVcieJRddeWS6lEUaTulnae9Hl3LTlZqdy+sIP9qyfQfcSSCtcpANq3QUn7skCpRAF83ak+5oaqHxtjW9Tioy0n+Lh1HYz0dDkZHscfJ64xvnUAtZysuZucxg/7L2BnepURjSrOMNMn2Y9PQ6lUYm5hw6BRk9DR1cW9ag2SE2LZtWFRhegQeKB4HZ+t3qLi6NDKnnH/K7wp6sdfXVT9p8h0O4WCx07By8jM5433TmNsrEv9Ola884Y3EdFZhFxQjRI4drpw1AF3Mrh4JYW/5jakSxtHVm64VzoVKtHTfnc131NqjVnF0zy8TqVSiYNbLZp2HwuAg2sNEqJucP7wCo0OAVefxgz8cD2Z6YlcPLKKrYveo//7fxfrcHhuimwH5TN+vwvut2sDR01CR0cXd+8aJCfGsnvDogrRIfBA0ToqH3MaAzB92hSysrK4fOUqvy9agouzM21atyIjI4OpP8zgvTHvYGn55CNpykfxej/J/j60fxd/L1/IR59NwdKqsFNBWVCAhZUVo975EF1dXar6+JOQEMeGtSsqRIeAWrH9LXHseVAqXshB7C+sF65DoOD+nYM2b96Mi4uLxnsPrvi/+uqrLF++nPHjx7N8+XI6deqEnZ2dOr+zszP79u0rtu6H59+bmj79TWuK3nhQoVBoLHvQYDyow6pVq3j//feZPn06QUFBmJub8/3333PsmOadkksqy+PKWFBQwJdffql1FIGRkZHWk7InadSmTJmiMbIBoOurn9N98BePzfuAsak1Ch1dMlI0e1UzUuOLXVF5wNSi+JWYjNQEdHT0MDK1eqLPjb57kYy0eJb/ULhNlAX53Lt5grMHl/Hu9PPo6JTu3ejda7Slj1thZ1F+fo6q7GlxmFgUjmrISkvA2KzkEzdjMzsy0zTrn5keXyyPrp4BlnaqO3Dbu9YiNvw8F4KX0qK35j4rT1bGhugqFMQVGQ2QkJGDrbH2jho7UyPszYzVnQEAXjbmKIGYtEzcrcyYffQyXau50buWqv6+dhZk5ebz9Z6zDG/oh045B20zc2t0dHSLXTVLTU4odnXtaVhY2aGrp4eObuGx6+TqRUpSHHm5ueiV801RTcyt0NHRLTYaIC05odioAfFiOnQ8gUtXT6v/1tdXnczZWBkQn1g4SsDK0oCEpEdP8VIq4V6Uqm24cTsdTzcTXuvrpu4QKCoru4Bbd9JxrfL8bqqrjllFRmRlpMVjXELM0jbiLTNNM2ap0sQVS/NwHDS1sMfGqapGGmtHb26c266xTN/QBCt7D6zsPXD2DGTx1x25eHQ1DTuMeqq6Pi0zC+sSv9/P0q5ZPmjXHorJTi7327W8XPT0yrdds7CwQEdHh4TERI3lScnJxUYNFPXgvgBenp4kJiWxdPlftGndisjIKKKjY5j05VfqtA/O1Tq/1Is/5s2minPxmzSWJXMLS3R0dElK1BwNkJyUqPEDX5vDB3Yze+ZUxo6fTJ1AzYtaVja26OnqoftQHHN18yQpMaFC3NxbHceKjAZIS0nAzELimHixvXAdAjVq1MDQ0JCwsDBatWqlNc2gQYP49NNPOXXqFKtXr2b27Nnq9+rVq0dUVBR6enp4enqWUam1O3jwIE2bNmX06NHqZQ+PUnhW9erV4+rVq/j4aL8yXKNGDcLCwoiIiKBKFdXdUY8cOfLY9U6YMIGxY8dqLFu07+mutuvqGeDgVpOwq4fxCSgc7RF2NRjv2u205nHyDOT2hb0ay+5cPYSDey10dZ8sULj7NWHwxxs1lu1cPgFrR28atBtR6p0BAAaGphpPDlAqlRib23HvejB2VVR3D87PyyHy9gkadf6gxPU4ugdw73owtZsPVS8Lvx6Mo3vdEvM8kJ+X8+8r8Bzo6+pQzcGSY2GxtK1aeGfeY2ExtPLWfrITWMWGXTciyMjJw8RA1XTdSUxDRwEOZqofAlm5+egU+c2vo7ok+URXbZ43PX193Lyrc+XcEQIbFx7nV84dpU7DNv96vd7VAjl5aCsFBQXo6Kh+iMVE3MHS2r7cOwMA9PQMcPGqwfULwdRq2F69/PqFYGrUb/uInOJFkZmZz70iTw6IT8ihYaA112+nA6CnpyCwpiVzltx+6vXr65X85dXXU+DhasK5SylPvd4npatngIOrKmY9/EjAsKvBeNfSHrOcPQO5dVEzZoVdOYSDW2HMcvYMJOzqYeo+9HjcsCuHcPYsbNedveqRFKO5zZJiQzG31rwoUpyyTNp+Pb3Cdi2gkWa7VvtZ2jX/QE4eLtKuRd7Bwtq+3DsDQHURyNfHh9NnQmjetHB05ekzIQQ1afSInJqUSiW5uapOMjc3V+b+9ovG+4uW/klmZqb6hoXlTV9fH28fP86FnKBx08JHGp8LOUHDxs1LzHdo/y5m/TyF9z78nPoNi9+/qVr12hzav0tjf0fcu4u1jW25dwbA/TjmWYMbF4Kp1aAwjt24EEyNehLHxIvthesQMDc3Z9y4cbz//vsUFBTQvHlzUlJSCA4OxszMjNdffx0vLy+aNm3K8OHDycvLo2fPwue7tm/fnqCgIHr16sV3332Hv78/ERERbNmyhV69ej12GH5p8vHxYcmSJWzfvh0vLy+WLl3KiRMn8PLyKpX1T5o0ie7du+Pm5ka/fv3Q0dHh3LlznD9/nq+//pr27dvj7+/PkCFDmD59OikpKXzyyeOfc2toaKgejfHAv7kxar3Ww9j+50c4utfC2bMu54NXkpoYSZ1mrwBwaON00pOj6TR4GgB1mr3C2YPL2L9uCrWD+hMZeoaLR9fQZch09Trz83KIj1J1qhTk5ZCeHE1M+GUM7l85MTAyw66K5nxyPUMTjEytii1/XhQKBbWaDSFk3zws7DywtPUgZN889PSNqBrYXZ1u76qPMbVwpFFnVedLrWZD2DjvNUL2z8ezejtCL+/m3o0j9BhV+MimE9t/xNWvBWZWzuRmp3Pz7BYibx2n87B56jRZGUmkJ0WSnqKaupIUpzrRNDa3w8T86abJPIvBdX34bMcpajhYUcfZhrUXQolKy6RvbU8Afjl8idj0TCZ3VD3HurOfKwuOX+WLXWd4q7E/SVk5/Hz4Ij1qeGCkp+rIaenlxLIzN/G3t6SWozV3k9OZffQKLb2d0C3aU1BO2nUfwuJfJuJetSbefgEc2rWahLhImnfsB8A/y34mKSGa19/9Vp3n7m3VDaqyszJITUnk7u0r6Onp4+ymumrYsuMA9m9dweqF39Gqy0BiI8PYvm4BrbsMKvsKlqBFl6GsnP0xrt41cfcJ5Pjev0mKj6RJuwEAbF05g5TEGAa8VfjYpYg7lwHIzs4gPTWBiDuX0dXTx9FF1cmZl5dDzL2b9/+fS0pCNBF3VN93OycPXjS6piaY+hTeOd7EyxWLgGrkJCSTdTeyHEv276zaeI/Bfd24G5lJeEQmr/V1Izsnn50HCq+af/KeH3HxOcxdGgrA4JdduXIjjXtRWejrKQiqb0PnNg5Mn3NDnWf0UC+CTyQQHZuFtZUBQ/q5YWqiy9Y90c+1PnVbD2PHso9wcFPFrAtHVpKWGEnt+zHr8P2Y1fF+zKrV7BXOHlrGgXVTqPUgZh1bQ+eHYlZgqyGs/mUwJ3fNw7t2O26d383da0foO2b5Q5/7On//NJATO+fgG9iF6LBzXDiyirb9JwOQm53BiZ1z8KrVFlMLe7LSkzh3eDlpSVH4Bmo+yu55adt9CEt+mYi7d028/AI4fL9da9Hhfru2/GeSE6IZ8k5huxYeWtiupaUkEh56BV09fZxdVe1ai44D2L9tBasXfUerzgOJjQpjx7oFtKpA7drLvXsybfqP+Pn6UKNaNTZv205MbCzdu6ruxfT7osXExyfw0QfvA7Bh02bs7e1xvz9V88KlS6xeu56eL6liv4GBAV6emm2X2f3RoEWXl6fuvQbwy4yvqepTDb/qNdm1bQNxsTF07NoLgGWL5pAQH8e7H6juq3Vo/y5+nfE1w0b+H77VapKYGA+AgYEhpqaqp0x07NqLrZvWsHDez3R56WUiI8JZ9/dSurzUt1zqqE3zLkNZNedjXLxq4uETyLH7cazx/Ti2beUMkkuIYznZGaSnPDqO5eflkpJ4P44ZmWDnWHH2eVlTlvcVnErmhesQAPjqq69wcHBgypQp3Lp1CysrK+rVq6e+cSCopg28/fbbDBkyBGPjwmGECoWCLVu28Mknn/DGG28QGxuLk5MTLVu2VM/xLytvvfUWISEhDBgwAIVCwcCBAxk9erTGowmfRadOndi0aROTJ09m2rRp6OvrU61aNd58800AdHR0WLduHcOHD6dRo0Z4enoyc+ZMOncumxMI/3pdyUpP5Oj2WWQkx2Dr7EfPUfOwsFFd9UhPiSUlsfAk2NLWjV6j5rF/3RTOHVyGqaUDrft8gm9g4RMW0pJjWP59L/Xfp/b8wak9f+Di04h+7y4tk3o9iYCWb5Kfm83hfyaTk5mCvVsduryxQGMkQXpSJIqH5lA5etSl7SvTObnzZ07t/AULGzfaDZyOg3uAOk1GWhz7Vn1MRmosBkbm2Dj50XnYPI0nGoRd3sv+1YXflT0rVKMS6rV7m/rt33me1dbQ0c+FpKwc5h+/Slx6NlVtzZnZownOFqpnDsdlZBGVmqlOb2Kgx2+9mvL9/vMMXnkAKyN92vu6MDqoujrN8EZ+KBQw68gVYtMysTI2pKWXI283rTjPca7frDPpaUlsXT2XlMRYnN18GD3xN2ztVSMlkhNjSYyL0sgz9aPCm4yG3brEyUNbsLGvwleztgFgbefEO5/OZc3iaXw7ri9WNg607voqHXu+UXYVe4yAJl3ISE1i97rZpCTF4uTqy7AP52Jtp/q+pybFkRSn+aP3509eVv//3u2LhARvxtquCuN/2gVASmKsRpoDWxZyYMtCvKs1ZNSn2p/5XJFZ1q9F0O7CdqrGD6rv6d0lazk3fEJ5FetfW742HEMDHT4Y5YOZmR6Xr6Uy9vMLZD40ksDRzhBlQWEeIyNdxr7lg4OtAdk5Bdy5l8lXP15lz6HCYboOdoZ8Ps4fS3N9klJyuXg1lbc+Okt0rOa9bUqbX72uZGUkcnz7LNJTVDGrx0MxKyMlltQiMavHyHkcXD+Fc4eWYWbpQKs+n+ATUBiznL3q0XnIDI5u+YmjW2diaetG59d/xMmzsF13dK9Dt+G/ErxpBse3/4aFjSste0+kWoMeACh0dEmMucXlhevITEvE2NQKB/fa9B2zDFvnwvs6PE/1m3YmPTWJrWseatcm/IbN/XYtJTGWhEe0a3cfatcm/1bYrr396VzWLp7GlA/vt2tdXqVDr4rTrrVu2YKUlFSWrVhJQkICHh4efP3lJBwdVNMBExISiYkt7AArKFDyx+IlREVFo6urSxVnJ4YPHUK3LmVz3lVamrVsR1pqCqv/WkRiQjxuHl5M/GIa9g6qqRCJifHExRZ20O3c+g/5+fksmD2DBbNnqJe3ateZd95XXYiys3fk08kzWLzgF8a9MwwbWzu69uhLz5dfLdvKPUJAky5kpCWxe/1sUu/HsaHjCuNYSlIcSfGacWzmp0Xi2JHNWNlVYfyPhXHs4TQP4phXtYaM+uTFi2PixaRQPu7uPkI8gdnbyrsE5SM9o+Dxif6D3oocX95FKBdHW3z1+ET/QWnZL2Tf8TPTr0AdSWVpatcF5V2EcvHKWy3Kuwjlwq/K8+1Iqaj8TEPLuwjlIln56Hn+/1U3EyvnPP/ejUp/KmxZiLwSUt5FKJFztcDyLkKpq5xneUIIIYQQQgghKhx5ykDZkq39BMLCwjAzMyvxFRYWVt5FFEIIIYQQQgghnoqMEHgCVapUISQk5JHvCyGEEEIIIYQQLxLpEHgCenp6JT66TwghhBBCCCFE6VAq5CkDZUmmDAghhBBCCCGEEJWQdAgIIYQQQgghhBCVkEwZEEIIIYQQQghRISiRKQNlSUYICCGEEEIIIYQQlZB0CAghhBBCCCGEEJWQTBkQQgghhBBCCFEhKBVyzbosydYWQgghhBBCCCEqIekQEEIIIYQQQgghKiGZMiCEEEIIIYQQokKQpwyULRkhIIQQQgghhBBCVELSISCEEEIIIYQQQlRCMmVACCGEEEIIIUSFIE8ZKFuytYUQQgghhBBCiEpIOgSEEEIIIYQQQohKSKYMCCGEEEIIIYSoEOQpA2VLRggIIYQQQgghhBCVkHQICCGEEEIIIYQQlZBMGRBCCCGEEEIIUSHIUwbKlmxtIYQQQgghhBCiEpIOASGEEEIIIYQQohKSKQNCCCGEEEIIISoEecpA2ZIRAkIIIYQQQgghRCUkHQJCCCGEEEIIIUQlJFMGRKnIzlGWdxHKhYNt5exT67ywW3kXoVx0taucTaaBfuUcuvdP1wXlXYRyMX7Lm+VdhHJx480r5V2EcnHiSuVs12ZszS7vIpSLAmVEeRehXLTrYVfeRSgfjcq7AP+OUlE5zzvKS+X8NSOEEEIIIYQQQlRy0iEghBBCCCGEEEJUQpVznJgQQgghhBBCiApHqZQpA2VJRggIIYQQQgghhBCVkHQICCGEEEIIIYQQlZBMGRBCCCGEEEIIUSEo5Zp1mZKtLYQQQgghhBBCVELSISCEEEIIIYQQQlRCMmVACCGEEEIIIUSFoESeMlCWZISAEEIIIYQQQghRCUmHgBBCCCGEEEIIUQnJlAEhhBBCCCGEEBWCTBkoWzJCQAghhBBCCCGEqISkQ0AIIYQQQgghhKiEZMqAEEIIIYQQQogKQaYMlC0ZISCEEEIIIYQQQlRC0iEghBBCCCGEEEJUQjJlQAghhBBCCCFEhSBTBsqWjBAQQgghhBBCCCEqIekQEEIIIYQQQgghKiGZMiCEEEIIIYQQokJQKmXKQFmSEQJCCCGEEEIIIUQlJB0CQgghhBBCCCFEJSRTBoQQQgghhBBCVAjylIGyJSMEykhoaCgKhYKQkJDyLooQQgghhBBCCCEjBF4UCoWCdevW0atXr/IuSqlSKpWc3Pkrl46tIjsjBUf3OrToPQkbJ99H5rt5bjsnts8kOT4MS1t3GnV+D+/aHdTvR9w6Qci+34m9d5GMlFg6v/4rXrXaF1tPYvRNjmz5gchbJ1AqC7B29KXj4B8xt65S6nV92Ml9yzi6/XfSkmOxr+JLhwETcfdtUGL6O1ePs+vvqcRGXMfcyoEmnd6kfquB6vfPBq9l06IJxfJ9/Ns59PQN1X+nJEazd+333LxwkNycLGwcPen++jc4e9Qq3Qo+hTcGetCjkzPmZnpcupbKjDnXuR2WUWL6lkF2DOnnjouzMXp6CsIjMvlr/V22743RSGdnY8D/hnrTpL4NhoY63L2XydSZV7l6M+15V0mrFjUVBFZVYKQPEQmw/VQBcSmPzuPvCq1q6WBlBklpsO98Adfuaa6zRS3Nft20TCUzNxQAoKOAVrUVVHVWYGUG2bkQGq1k71klaVmlXcPilEolp3f/xpXjq8jOTMHBrQ5Ne36GjeOjv9+3L+zg5M6ZpMSHYWHrToOO/4dXzcLvd8i+edy+sJPk2Fvo6hvh6FGXRp0/wMreS50mNzud49tmcOfSbrIykjC3dqFm08HUaDJQ20c+d8NecadHJyfMTe8f53NvEnr3Ecd5E1te6+eGi1Phcb7yn3ts3xejsc43Bnpo5ItPzKHX0GPPrR7Pg03zBnh/MBzLerUwquLAyZdHE71hd3kXq0RKpZITOzTjVss+Txa3jm8rjFuNu2jGLYALh5dzZt/vZKTGYuPoQ7OeE6niXRgbZo2rpnXdQd0+pG6b4QDsWz2J8OtHSE+OQd/QBCfPugR1G4e1g/cz1ry48mjXAPxdoG5VHZxswMRQwYLt+cQklWLFSsGrvRzp0soGM1Ndrt7K4Lcl9wiLyC4xfdP6Fgzo7kAVR0P0dBXci85m7bZY9gQnlV2hn9LgXk50bW2LmakuV25m8NvScO7cKzm4NKtvySsvOVLFwRA9PbgXlcOabTHsDk5Up6nlb0q/Lg74eppga63PFz/f5sjp5LKojlZKpZIzu3/j6glVHLN3q0PTHp9h/QRx7PTOmaQkhGFh4079jv+H50Nx7PLRFVw+/hdpiaqD38rBh7ptR+Pm3xKAgvxcTu78mfCrB0hNCMfAyIwqPkE06PQBphYOz6/ColKSDoEykJOTU95FqLBC9i3g7IFFtB0wBUt7T07vmsPG+W8w8MOtGBiZac0TFXqGncvG0qjTGLxqdeD2hZ3s/PN9er29DEf3AAByczKxrVKNag37sH3JGK3rSY4LY92sQVRv2JeGHd/F0MicxJib6D70A/p5uHRiCztXTqHzoM9x86nH6QN/8dfMEYz6YjOWtsU7IpLi7rLyl5EEtuhHz+Hfc/fGabYt/xJTMxuq1e+kTmdoZMZbX23TyPtwZ0BmejJLpg3Ew78xA8bMx9TchsTYuxgZWzy/yj7Gqy+7MaCXK9/8dJW79zJ4fYAHP06uw8D/nSAzM19rntTUXJasusOd8Exy8wpo1tCWCf9XjcSkXI6fUZ1UmJvqMXtaXU6fT2LcF+dJTM7BxcmY1PS8sqyeWpNqChr5K9h0rICENGhWQ8HA1jrM3VJATglFcrGF3kE67L+g5Fq4Ej9XBb2b6rB0dwERCYXpYpOVLN9XeKKsVBa+p68HTtYKDl9SEp2kxMgAOtTVoV8LBQt3FvC8nT2wgPOHFtGq77dY2nlyZu8ctv4+nH4fbMXA0FRrnug7Z9i9YiwNOozBs0Z7Qi/tYvfysfQY9ScO97/fkbdOUDNoEHautVAW5HNi+09s/WM4fd/fhL6BCQBHNk8l8uZxWg+Yhrm1C+HXD3P4n8mYWDjgWaPdc6/7wwb1cWVATxe+/fkadyMyeb2/Oz9OrsWg0adKPM5T0vJY8vddwsIzyM1T0rSBDePH+JGYnMPxM0nqdLfupPP+pPPqvwue/24tdbqmJqScu0r44rXU//vX8i7OY53Zez9uvTIFKztPTu2ew4Z5bzDoo0fHrR1/quKWd+0O3Dq/kx1L36f328tw9FAd19dDtnBowxRa9pmEk2c9Lh1dyaYFIxn44SZ1J/XQSQc11nvnygH2/v0p3nU6qpfZu9bEr+5LmFk7k52RzIkdv7Jx3nAGT9yFjo5uqW2H8mrXAPT1FITHKbkcDt0aVryhxf262tOnkx3TF9zlXlQ2A3s48u2H3oyYcJXMLO1f0tT0fFZujOFuZDZ5eUoaBZozdrgbSSl5nL5QPh3Zj9K/qwN9OtszfX4Y4VHZDOrhyJQPqzJ8/OVH1nHFxmjuRmSRl6+kcYAFH7zpTlJKHqcupAJgZKjDrbuZ7DiYwKQxXlrXU5bOHVjAhcOLaPnyt1jYeRKydw7b/hjOy2MfEcfCzrD3r7HUbz8GjxrtuXNpF3tWjKX7qD9xcFN9300tnWjYaSwWtu4AXD/9D7v+fIde76zB2tGXvNws4iMuEdjmf9g4VyMnM5mjm6ewa+loer69uszqX15kykDZkikDwMaNG7GysqLg/plUSEgICoWCDz/8UJ1m1KhRDByourK0Zs0aatasiaGhIZ6enkyfPl1jfZ6ennz99dcMHToUS0tLRowYUewzCwoKGDFiBH5+fty5c+eR5fP09ASgd+/eKBQKPD09CQ0NRUdHh5MnT2qk/eWXX/Dw8ECpVLJv3z4UCgWbN28mICAAIyMjGjduzPnz5zXyBAcH07JlS4yNjXFzc2PMmDGkp6c/2cZ7BkqlknMHl1C/3Vt41+6IrZMfbV+ZSl5OFtfPbCox37lDS3D1bUq9tqOwdvCmXttRuPg04dzBxeo0HtVa0rjze3jX7ljieo5v+wmPaq0I6v4h9i41sLB1w6N6a0zMbEu1nkUd27mQwOYvU7dFP+ycq9JxwCdYWDtxev8KrelP7/8LCxtnOg74BDvnqtRt0Y+AZn04uvMPzYQKBWaW9hqvhx3ZPh8LaydeGjoFF686WNm54lU9CGsH9+dV1cfq18OFJavCOHAkjtthGXzz4xUMDXXp2Krk3u8zF5I5cDSeO+EZRERl8ffGe9wMTaNODUt1mlf7uhETl82Un69y+XoqUTHZnDqXRERUGVwW16KRn+pH+dV7EJsMG48p0deFmh4lB7yGfgpuR8ORy0riU1X/hkarlj+soADSswpfGQ9dgMrOhRX7C7h8V0lCKkTEw47TBTjbKLAweV61VVEqlVw4vITANqPwqtURGyc/WvebSl5uFjdDSv5+Xzi8BBefpgS2HomVgzeBrUfiUrUJFw4vUafp8sZ8/Or3xsbRF1vnarTq+y1pSZHE3buoThMTFoJvvZ5U8W6EubUL1Rv1x9bJn7jwC8+13tr0f8mFJX/f5cDReNVx/tNVDA106dDSvsQ8IReSOXg0njvhmUREZbF6UwS3QtOpXd1SI11+vpKEpFz1Kykl93lXp9TFbj/Atc9/Imr9zvIuymM9HLeq1u6IrbMf7Z4gbp09uAQ336bUb6eKW/XbjcLFtwlnH4pbZ/cvonqjl6nRuB82jlVp3nMiZlZOXDhSGBtMLOw1XqEX9+BStTGWtm7qNDWbDKBK1YZY2Lhi71qTRp3fIy0pktSEe5Sm8mrXAC7cUXLokpLQqCI9BRVEr452/LUxhuBTKdy5l830+XcxNNShdROrEvOcv5JO8OkU7kZmExmbwz8747l9N4uaftp/dJa3Xp3s+WtDNIdPJXPnXhY/zA/D0ECHNk2sS8xz7koawaeSVXWMyWH9zjhu3c3UqOPJc6ksXhPF4VPlNyrgAaVSycXgJQS0HoXn/TjW6n4cu/WIOHbxfhwLuB/HAlqPpErVJlx8KI65V2+Dm38rLO28sLTzokHH99AzMCHm7lkADIzM6fLGH3jX6YKVvRcO7oEEvfQpcfcukpYU8dzrLioX6RAAWrZsSWpqKmfOnAFg//792NnZsX//fnWaffv20apVK06dOkX//v155ZVXOH/+PNWuSdkAAQAASURBVF988QWfffYZixYt0ljn999/T61atTh16hSfffaZxns5OTn079+fkydPcujQITw8NId8FnXixAkAFi5cSGRkJCdOnMDT05P27duzcOFCjbQLFy5k6NChKBSFwfXDDz/khx9+4MSJEzg4ONCjRw9yc1UnjefPn6dTp0706dOHc+fOsXLlSg4dOsQ777zzdBvxX0hNCCcjNRZXv2bqZbp6BlTxbkjUnTMl5ou+E4LbQ3kA3PybExUa8sSfrSwo4M6VfVjaebJp/nAWftGUNTP7c/vCrqeux9PIz8shMuwiXjWaayz3rtGM8Jva6xx+KwTvGpr19a7ZgsjQC+TnFZ7852Rn8Mv4Nsz8qCUrfxlFVNgljTzXz+7B2aMWa+aM4ccPgljwVS/OHFxVSjV7elUcjbCzMVRf1QfIzVMSciGJWtWefNRC/TpWuLuYEHKx8OShWSNbrtxI5auPa7BxaRB//FSPlzo6lWr5n5SVKZgZK7j90IlrfgGExaqulpXExVbBrSInu7eilLjaaZ44W5vDuz10GN1Nh15BCqwec+5oqK86ycl6zgOXUhPDyUyNw9VX8/vt7NWQ6Ed9v8PO4urbVGOZq18zosNKzpOTpbqyZGhc+GPZ0aM+dy7vJT05GqVSScTNYyTHheLq17yk1TwXzo5G2NoYcKLocX4x+amPczcXY85e1DxJdq1izLqFjVg5ryFfjKuGs6NRqZVdFJdyP265+ReJW1UbEhX6mLjlr9mOuz8Ut/Lzcoi9d7F4bPNrRnQJ681IjePO5f1Ub/RyiZ+bm53BlRNrsbBxxcyq9NrAitauVSRO9gbYWOlz+v4Vb1B9589fSaOGz5P3xAZWN8PV2ZALV5//BZqn5WRvgK2VvvqqPtyv49U0avg++c4KrGGGm7MhF65WvBEQUBjHXIrEMSevho+MSTFhZ3HxKRLHfEuOYwUF+dw8u5m8nAwc3AJLXG9OViooFBgYld/ITvHfJFMGAEtLSwIDA9m3bx/169dn3759vP/++3z55ZekpqaSnp7OtWvXaN26NV999RXt2rVT/8j38/Pj0qVLfP/99wwdOlS9zrZt2zJu3Dj136GhoQCkpaXRrVs3MjMz2bdvH5aWmld7tLG3V11FsrKywsmpMKC/+eabvPXWW8yYMQNDQ0POnj1LSEgIa9eu1cj/+eef06GDat7S4sWLcXV1Zd26dfTv35/vv/+eQYMG8d577wHg6+vLzJkzadWqFbNnz8bI6PmdXGakxgIUuyJvbG5LWmLJvZ8ZqXEYmxfP82B9TyIzLZ7c7AzO7J1Po87/R5Ou4wi7epBtS96l56jFVKna6Clq8uQy0hJRFuRjZqFZflMLO9JStJc/PTkO05p2GsvMLGwpKMgjIy0RcysH7Jy8eWnoFBxc/MnOSuPE7iUs/m4gIyb9g42jJwCJsXc5tX8FjTsMo1nXt4i4fY4df32Nrp4BdYJ6PY/qPpKNtQEACUmav0wTk3JwdHj0cWdqosu6RUEY6CvIL4AZs69zMqTwB1cVJ2N6dTFm5fpwlvwdRg0/c94b6UNurpJte6NLvzKPKuv9qqQXGZyQnqXE0kQBaL/CZWakLU/h+gDuxSvZeEx19d/UCJrV0GFIOwXztxWQqeUHv64OtKmjw8U7yhKH9JaWzNQ4AIzNNI9dYzNbUh9xdSMzLU5LHjsy7q+vKKVSydEt3+HoWR8bJz/18qYvTeTg2kksn9oahY4eCoWCln2+wsmz/r+t0r9ia60PQEKy5pX7xKQcnJ7gOF/7R+PC43zODU6eTVK/f+laqmq6TUQm1lYGvN7PjdnfBTDk3VOkpJbP9Jj/upLilomZLamPi1tFY51ZYdzKSlfFhqKxzcTclrslHPtXT65H39BU60i4C4eXE7z5B/JyMrBy8OalkX+gq2fw+Ao+oYrUrlU01paqU+vEFM3vYFJKHg62j94HJsY6/PljdfT1dChQKvltyT3OXKx4P5Zt1HUs0q6l5D5RHZf/VFNVxwIlvywJ53QFrCM8Oo496ip9SXEss8h3OSHqGhvnDCQ/Lxt9AxPaD/4Fa0cfrevMy83m5PYZVA3oXuLUpP8SmTJQtqRD4L7WrVuzb98+xo4dy8GDB/n6669Zs2YNhw4dIikpCUdHR6pVq8bly5fp2bOnRt5mzZrx008/kZ+fj66uan5egwbabxA3cOBAXF1d2b17NyYmzzZmt1evXrzzzjusW7eOV155hT/++IM2bdqopxg8EBQUpP6/jY0N/v7+XL58GYBTp05x48YNli1bpk6jVCopKCjg9u3bVK9evdjnZmdnk52tOX4vL9dAY766NtdOb2T/ms/Vf3d7Y47qP4oiX3ol8JiGQFH0fSUaoyIeR6lUTQ/xrNmWgJZDAbBzqU7UnTNcPPrXc+sQKKRZVqVSWbxOGsmLp1ctVi138Q7ExTtQ/b5b1Xos+Lo3J/b+SadXPlXncfaoRZveYwFwcq9BbOQNTu9fUSYdAh1aOfDh24U/2D6afH/qStHzRoWipHNJtYzMfIb930mMjXRpEGDNO8OrEhGVyZkLqqunOgq4ciOVeUtvA3D9Vhqe7ib06lrluXcI1PRQ0KV+4f5adVB1rGmr0tMOdi16iN+KKvx/bDLciyvgf910qO2p4Pg1zbXrKKBXkA4KBWw7VfrDbG+c2cjB9V+o/+78+mxVmYukU/KYY11bLqWyxO938IavSIi8yktvLdNYfjH4T2LunqXjkFmYWVUh6vbJ+/cQsC925aY0dWhlz7j/Fd5s6uOvLqrr8DCFovB7XJKMzHzeeO80xsa61K9jxTtveBMRnUXI/eP82OnCTjDuZHDxSgp/zW1IlzaOrNxQusPDK6trpzeyb/VDcWu49ril1LKsKG3HcNFlRb8bykfEw8vH1/w/e/cdHkXxBnD8m957D+kJBAglhF5D70VApAmiVMUKKqI/u4INUcRCUYrSlN57J/ROCJ0QEhJI7z33++PCJZdcIEDIRfN+nmcfyN7s3rx3uzN7szOz1ArqrbHurRnUB7darchIieXMvj/Y/ueb9H912UPr6bJU1XKtKujQ0prXXqih+vvjmeFA6XkPeHjVRmZWARM/uoqJsS6Bdc0ZO9SV6Ngczl/Sbi+BDi1teGOUm+rvD7+/ofxPiYB0yhFkZlYBr3x4GWNjPRrVNWf80BrExOZw7pL2GwWundnAoWL1WNeRZdRjCoWGtSWUKiNK12NW9l70f2012ZmphIduZ/8/U+k5dnGpRoGC/Fz2LJ+MQlFAq74fPUpIQpSLNAgUat++Pb///jtnz55FV1eXunXrEhwczL59+0hMTCQ4OBgo/OFWxo+z4szMNHeZ6tmzJ3/99RdHjhyhY8eOT5RnQ0NDRowYwYIFCxgwYABLly7lhx9+KNe292MoKChg/PjxvP566Yn3PDw0jy2fPn06n376qdq6bkM+ovvQTx74nl51O+Dk0UD1d36esqk/IzVObcbUzLT4UndJijO1KH23MDMtvlRr7IMYm9mgq6uPbYlC18bRl5ibJ8u9n0dlam6Djq4eaSnq+c9IjcfMUnP+zazsSU9W7z2QnpqArq4+JmbWGrfR0dXF1as+CXfDVevMrRywd/VVS2fv7MOlU9sePZDHcPBYPBevFM15YWigHLFka2NIfGLRbR8bK4NSvQZKUiggKlp5m+nazXQ83U15fpAHpy8oGxniE3NKzeB+63YG7VuVPWa7olyNUnAnvqhM0CscmFXyzpiZsQ7pWWVfOaWVuGsGYGpU+u5acbn5ygtoWwv19bo60L+VclbvpXvKnvDrSXjU7cgA92Lnd37h+Z0Wh2mx8zsrLaHUndLiTMztyUxTP94z0+M1bnNo/RfcCttD73F/Ym5V1HsqLzeL49t/oMvzs/Co3R4AOxd/4qPDOLd/wVNtEDh4LIGLl0+p/ja4f5xbGxKfWHQ3zdrKkISkB4/3VyggKqboOPdyN2XEs+6qBoGSsrILuHErHTdXkycNQxTyqtuBwZPKV289aP6Zh9VbxmbKukFTGlMN9eGdGydIir1J1xEzNb6fkYkFRiYWWDt44eTZkN8/bM7NCzuo2aj3QyLWrCqWa1XFkdMpXLpeVN8Y6Cuvr2yt9ElMLipsrS30SUp++DkffU95jN2IyMLdxZjBvRw5f+nmU8h5+R05nczl60WNEvfLNRsrAxKKx2ipX6pnREkKBdxRxZiJu6sxg3s7VokGAY86HXF013C+l6zH0stRj5XotZqVFo9xiW309A2xtFMOG3Zwq0dc5HlCQ/6kTf+ia+yC/Fx2L3uLtMRIeoxZUC16B4jKJ3MIFLo/j8APP/xAcHAwOjo6BAcHs3fvXtX8AQB169bl4MGDatuGhIRQq1YtVe+AB3n55Zf56quv6Nu3r9ocBQ9jYGBAfn7p2ajHjBnDzp07+eWXX8jNzWXAgAGl0hw5ckT1/8TERK5cuULt2spHFwUFBREaGoqfn1+pxdBQc7evqVOnkpycrLZ0frb0I+9KMjQ2x8reU7XYOPlhauFA5JUQVZr8vBzu3DiOs2ejMvfj5BlI5NUQtXW3rxzC2SvwoXm4T0/fEAf3eiTFqleyybHhmD/FRw7q6Rvi4hHAzYuH1NbfDAvBzVdzzG4+gdwMU4/35sWDuHjVQ0/fQOM2CoWCu7fD1CYWdPcLIiFGPd6Eu+FY2dYouflTkZmZT1R0lmq5GZFBXEI2TQOLJiDS19chsJ41Fy495LlVJehQ1MAAcD4sGY8a6j1w3GuYEnPv6U8qmJMHiWlFS1yK8pFZ3s5FDYm6uuDhAFHxZe8nKl6Bt5N646OPs3Jm7bLo6YKdJaRlFq273xhgawHL9j69LreGRmbq57ejHyYW9kRdVT+/o28ex+lB57dHQ7VtACKvhuDkUbSNQqHg0LrPCQ/dQa8xC7C0dVNLX5CfR0F+Ljo66lWcjq6eqnfQ05KZmU9UTJZqCb+dQXxCTunjPMDqkY9zKPqxUdZrnm6mag1s4smUu966fhxnrwfXW7evlKi3LhfVW3r6hjjUCCiVJvJKCE4a9ht2bCUObgHYu2p+DGFpCtWPm8dR1cq1qiQzq4DoezmqJeJONglJuTQKKGrB0NfToX5tcy5eK/tRo5ro6ICBgfa7TmdmFXDnXo5quRWVRXxSLkH1SsTob87Fq4/Wm0EHMNCvGj9HDI3MsLTzVC3WhfXYnWvq53vMzeNqdVJJjh4Nibqmfi5HXQt54DagbCwpyC86T+83BiTH3aL7S39gbFr2hI3/NQqFTpVd/ouqxhlYBdyfR+Cvv/6iffv2gLKR4NSpU6r5AwAmT57Mrl27+Pzzz7ly5QqLFi1i9uzZavMFPMxrr73GF198Qe/evUs1LpTFy8uLXbt2ERMTQ2JiUTfROnXq0KJFC6ZMmcLQoUMxMSl9Z+izzz5j165dXLhwgVGjRmFvb88zzzwDwJQpUzh8+DATJ07kzJkzXL16lfXr1/Paa6+VmRcjIyMsLS3Vlsfphqijo0ODtiM5tXsON87vID7mCrtXTEXf0FjtLsauZVM4srnoSQ4N2ozg9pVDnN4zj8R7Nzi9Zx5RVw/ToO0LqjS52enERYURF6UcGpGSEElcVJjaGM/A4NFcO7uFi0f/JjnuFucP/UV42B7qtRr2yLE8iuZdXuTMwZWcObiSuOjr7FgxjeSEaIKChwCwZ/UM1v/xrip9UPAQkuPvsOPv6cRFXy/cdhUturykSrN/w2yuhx4gMfY2MbfD2Ljofe7evkRQcNEz15t1foGoG2c5tPk3Eu7d4sLRDZw+8DdNOjzdeB/kn/VRjBjkQbsWdnh7mPLBm/5kZ+ezfV/Rs9b/95Y/40cWPXro+WfdaRJog6uTMR5uJgzu50b3jk5s21s0FGDFuigC/C0YMciDGi7GdAl2pG83F1Zv0s7MvMeuKGhVR4daNcDBCvo00yE3H0JvFV0E92muQ/v6RRXN8SsKfJyVj/ays1D+6+WkXH9fx4Y6eDiAlRm42sKAVroYGcC58PtDSmBAa11cbGHdkQJ0dJR358yMlRfvT5OOjg71Wo/kzN653AzdQULMFfatfB99A2N8A4vO7z1/T+HY1u9Vf9drPZLIayGc2TePpHs3OLNvHlHXDlOv9UhVmkPrPuPamQ10HPwtBkZmZKTGkpEaS16ussHH0NgcF++mHN3yLXduHCMlIZIrJ9dw9dQ6vAI6P93ANfh7QxTPP+tO28Lj/P3Xa5Gdk8+O/UV3kD54sxbjR3ip/n5+oBtNGlrj4mSMRw0TBvetQfcOjmrnxiujvAkMsMLF0Yi6tSz4fEodzEz12LK7cufJeFJ6ZqZYNqyNZUPlj1tTbzcsG9bG2N1Fyzkr7X69dXJXYb0Vrbne2rlsCoeL11ttlfXWqd3KeuvU7nlEXj1Mw2L1VsPgUYQdW0nYsVUk3L3OwXXTSU2Kpl6LIWp5yMlK4/rZbdRpNqhU/pLjb3Ny1xzuRV4gNfGO8nGHf76FnoERHrWDK/Sz0Fa5BmBsCI7WYF84DZOdhQ6O1qV7H2jL2u1xDO7jSKsgSzxrGDFpjBvZ2QXsPZKkSjN5rDujni3q2fRcLwcaBZjj7GCIm4sR/bvZ06mVDbtDkkq/QRWwdlssQ3o70aqxFZ41jHl7rAfZOQXsOVJ0jfrOOA9eHFR0Hg/u7UhQYYzuLkYM6OZA59a27D5c9MxJYyNdfDxM8PFQXs86Oxji42GCg63mGyBPk46ODgGtRnJ271zCC+ux/YX1mE+xemzfP1M4vq2oHgtoNZKoayGcLazHzhbWYwHF6rET22YSc/MEqYlRJMRc4cT2H4i5eQzfhsr9FuTnsWvpm8RFhdJ+8LcoFPmquu5JGveE0ESGDBTToUMHTp06pfrxb2NjQ926dblz545qLH1QUBB///03H330EZ9//jkuLi589tlnahMKlsebb75JQUEBPXv2ZOvWrbRq9eAurDNmzGDSpEnMmzePGjVqqCYpBBg9ejQhISG89NJLGrf96quveOONN7h69SoNGzZk/fr1qrv/DRo0YN++fXzwwQe0bdsWhUKBr68vgwcPfqR4Hldg+zHk5WZxYM1nZGcm4+jRgN5jf1frEpWWdEdtmIazVxBdhs/g2NYfObZtFpZ27nR5/nucCp9RDnAv8gLrfyu60ArZ8BUA/o2foeMQ5f996neh3YBPOL1nLgfXfom1gzfdRszCxfvpTjpWt2lPMtITObjpF9KS7+HgWoshr83Fyk55pz4tOZbkhGhVemt7dwa/Npcdf0/n5N4lmFs50nXIB9Ru3E2VJjsjhc1/fkR6SixGJhY4u9dlxDt/UcO7qOubq1cDnn1lNntWf8+BjT9jbe9Gl8HvU69536ca74MsWXUbI0NdJr1cEwtzAy5eSeGtj86pPZvdycGYgmI3j0yM9Zj8sh+OdkZk5xRwKzKDz2ZcYvfBoh9Xl66m8v60UMaP9GbUEE+i72Yya941dhT7MVWZjlxSPo6re2NdjA2Vj/9bvk+9676lqY7a8KOoeFh7uIDg+roE19MhMR3Whqg/q9vSFPq11MXUUPlYrqh4WLSzgJTCm1CWJlCrhvLcGdNNvQfTX7vziSj/PJyPpWG7MeTnZnNo3WfkZKbg4N6AHi/NV3t2c3pStNqdfCfPRnQcMoMTO37k5I6fsLR1p9PQGTgWO7/Dji4HYOO8onMcIPjZadRq3B+AjkNncHzbTPaseIfsjGTMbVxp0vVN6jRX/3FVGZaujsTIUJfJ4/0wN9cn7Eoqkz6+oH6c2xtRvPOCsbEekyb44WhnqDzOozL5fOZldh8s6lLuaG/Ex2/7Y2VhQFJKLqGXU5nw7lnuxpZ4RlsVZ9W4Hi13/an6u+537wNwe/Fqzo1+eO+zytaog7Le2r9aWW85eTSgT8l6K1G93nLxCqLr8BkcLV5vjfgeJ8+i47pmYE+y05M4seNn0lNisXOuSe/Rc7Ao0Yvr6plNgIKajXqVypu+viHRN09y7sBisjNTMDG3w9WnCQNeXaZx6MGT0Fa5BlDTVYc+zYvKjf6tlP8/cKGAA6Han2fgn82xGBrqMnFkDczN9Lh8PYMPvrtBZlbRSe5oZ6D22Rgb6TJxRA3sbQ3IySngdnQ2386NYP8x7T9+T5O/N9/D0FCXV0e6YWGqx6UbGUz99rpajA62hhQUL9eMdHl1pLtajN/MucW+Y0mqNLW8Tfl2atFwzgnDlMf/9gMJzJgf8dTjKqlBYT0Wsr6wHnNrQLcX1euxNA31WIfBMzi540dO7fwJC1t3Og6ZgaN70fmemRbHvn+mkJEai6GxBbbOteg2aq7qiQbpKXeJCNsNwNqf+qvlqeeYRbj4PO25rkR1oqN42KxGosr78ssvWb58OefPn1dbv3fvXjp06EBiYiLW1tZPNQ8/rK+eh5Gt1X+z69DDzP2u/MNd/kt6Pl+5j6yrKgyrQJdVbVi36NDDE/0Hvbd5jLazoBXXVl/Sdha0Ij3j6Q6jqaoObAnVdha0ouApD5uqqjr1bfDwRP9B7w78d3YGP3P1Kd+xeAKBNZ/+fFSV7d95lAhA+QjD48eP89NPP2mcFFAIIYQQQgghhCiLNAhUAUuWLMHc3FzjEhAQUOZ2r776Km3atCE4OLjM4QJCCCGEEEIIIYQmModAFdC3b1+aN2+u8TUDg7InUVm4cCELFy4s8/X27ds/9DnXQgghhBBCCFFVKKieQxW1RRoEqgALCwssLKroA3aFEEIIIYQQQvwnyZABIYQQQgghhBCiGpIeAkIIIYQQQgghqgSFQoYMVCbpISCEEEIIIYQQQlRD0iAghBBCCCGEEEJUQzJkQAghhBBCCCFElSBPGahc0kNACCGEEEIIIYSohqRBQAghhBBCCCGEqIZkyIAQQgghhBBCiCpBnjJQuaSHgBBCCCGEEEIIUQ1Jg4AQQgghhBBCCFENyZABIYQQQgghhBBVgjxloHJJDwEhhBBCCCGEEKIakgYBIYQQQgghhBCiGpIhA0IIIYQQQgghqgR5ykDlkh4CQgghhBBCCCFENSQNAkIIIYQQQgghRDUkQwaEEEIIIYQQQlQJBdrOQDUjPQSEEEIIIYQQQohqSBoEhBBCCCGEEEKIakiGDAghhBBCCCGEqBLkKQOVS3oICCGEEEIIIYQQ1ZA0CAghhBBCCCGEENWQNAgIIYQQQgghhKgSFOhU2eVR/fLLL3h7e2NsbEzjxo05cOBAmWlXr15Nly5dcHBwwNLSkpYtW7Jt27Yn+SjLRUehUCie+ruI/7yfNlXPw6igmj4XxdCgeo7tysmtnse5np62c6AdOjrV8zjPy6uex7nfgNrazoJW3Fh7SdtZEJVIV7d6lmvVNGxe7q7tHDyekLBUbWehTK3qWJQ77YoVKxgxYgS//PILrVu3Zs6cOcyfP5+LFy/i4eFRKv2bb76Jq6srHTp0wNramgULFvDdd99x9OhRGjVqVJFhqJEGAVEhpEGgepEGgepFGgSqF2kQqF6kQaB6kQaB6kUaBCreozQING/enKCgIH799VfVujp16vDMM88wffr0cu0jICCAwYMH89FHHz1yXstLhgwIIYQQQgghhKgSFAqdKruUV05ODidPnqRr165q67t27UpISEi59lFQUEBqaiq2traP9Pk9KnnsoBBCCCGEEEII8RDZ2dlkZ2errTMyMsLIyEhtXVxcHPn5+Tg5Oamtd3JyIiYmplzvNWPGDNLT03nuueeeLNMPIT0EhBBCCCGEEEKIh5g+fTpWVlZqy4O6/5ccfqhQKMo1JHHZsmV88sknrFixAkdHxyfO94NIDwEhhBBCCCGEEFXC48zmX1mmTp3KpEmT1NaV7B0AYG9vj56eXqneAPfu3SvVa6CkFStWMHr0aP755x86d+785Jl+COkhIIQQQgghhBBCPISRkRGWlpZqi6YGAUNDQxo3bsyOHTvU1u/YsYNWrVqVuf9ly5YxatQoli5dSq9evSo8/5pIDwEhhBBCCCGEEKICTZo0iREjRtCkSRNatmzJ3LlziYiIYMKECYCyt0FUVBSLFy8GlI0BI0eO5Mcff6RFixaq3gUmJiZYWVk9tXxKg4AQQgghhBBCiCqh4D/y9NvBgwcTHx/PZ599RnR0NPXq1WPz5s14enoCEB0dTUREhCr9nDlzyMvLY+LEiUycOFG1/oUXXmDhwoVPLZ86CoXiP/KRC236aVP1PIwKCrSdA+0wNKi6Y7ueppzc6nmc6+lpOwfaUZ5Jf/6L8vKq53HuN6C2trOgFTfWXtJ2FkQl0tWtnuVaNQ2bl7trOwePZ39ourazUKZ2AWbazkKFkzkEhBBCCCGEEEKIakiGDAghhBBCCCGEqBKq8lMG/oukh4AQQgghhBBCCFENSYOAEEIIIYQQQghRDcmQASGEEEIIIYQQVYJCIUMGKpP0EBBCCCGEEEIIIaohaRAQQgghhBBCCCGqIRkyIIQQQgghhBCiSlAotJ2D6kV6CAghhBBCCCGEENWQNAgIIYQQQgghhBDVkAwZEEIIIYQQQghRJRQgTxmoTNJDQAghhBBCCCGEqIakQUAIIYQQQgghhKiGpEFACCGEEEIIIYSohmQOASGEEEIIIYQQVYJCIXMIVCbpISCEEEIIIYQQQlRD/7kGAR0dHdauXVvm6+Hh4ejo6HDmzJlKy5MQQgghhBBCCFHVVPqQgVGjRrFo0SIA9PT0cHV1pVevXkybNg0bG5sn3n90dHSF7Kcq8fLy4s033+TNN9/UdlaemEKh4Ni22YQe+ZvsjBScPBsQPPAj7JxrPnC7a2e3cXTrLJLjIrCy96BFjzfxbdBFLc35Q0s5ted3MlJisXX2o+0z7+Pq00T1+vVz27lweAWxkaFkpScxePIaHGrUKTOfG+aNI+LSAXq+OBuf+p2fOO7j22dz8Whh3B4NaDfgI2wfEvf1c9s4tnUWyfERWNl50LzHm/jUV4/7wqGlnN77Oxmpsdg6+dG6n3rcAAl3r3Nk03fcuXEchaIAW6eadB0xEwsbV1ISIvlrmub4uo74Ab+G3Z8o9uLOHljCyd2/k54Si51zTYIHvE8N3yZlpo+8doz9a74iPuYqZlaONOk4hgZthqpej4++yuHNs7gbGUpqQhTt+k8lqP2oMvd3bMccQjZ+T2DwSNoP+KDC4ipJm9/3L2/X1rjvlr3eoVGH0QAkx0UQsvEbom+eJD8vBw//trTt/z9MLewfO+ZzB5dyeo/yu71//j3ou426dowD674iIeYaZpaOBHUcQ/3WQ9TSXDu7jSNbis77lj3Vz/vzh5Zx/tAyUhKiALBz9qNpt4l41WlXtI9z2wkNWcG9wvN+yNtln/ePF/cSTu2+H3dN2vV/+DF9YO1XJBQe0407jqF+66Fqaa6d3cbhzT+q4m7V661S5V1a0l0ObfiWW2EHyMvNwtrBi85Dv8TRvR4AR7b8xNXTm0hNikFPzwBH9wBa9nwLZ6+GFRZ7VT/O9678iMirh0lPvoeBkSnOXo1o2ettbBx9njDyimHbpgk+k0djFVQPY1dHTgx8hbvrd2k7W2XSZv1d3J6/PyL0yN+06TeVwOAXVOuT4yI4tP4b7hSWa56129JuwKOVa9qMsTzvfeHwCq6c2khs5EVys9MZ++UxjEwsVa+nJERyfPuvRF47QkZKHGZWjvg37kOTzhPQ0zcs9+egjXKtID+Po1t/4vLJDaSnxmFm6UCdpv1p1vUVdHR1yc/P5cimHwgP209y/G2MjM1xr9WKVn0mY27lVO7YHpU2rlsOb/mJo1tnq60ztbBn3BeHKjS2qkyh0HYOqhet9BDo3r070dHRhIeHM3/+fDZs2MArr7xSIft2dnbGyMioQvYlKt6p3fM5s28hwQM+5Lm3/sHMwoF1v71ETlZamdtEh59m25+T8G/cl6Fvr8O/cV+2LX6LmFtnVWmunt7MgbXTadJ5AoMnr8HVuwkb5o4jNfGOKk1uTiYuXkG07DX5ofk8u38ROhX4DNTTe+Zzdv9C2vb/kGff+AdTSwfWz31w3DHhp9n+1yRqNe7L4MnrqNW4L9v/fIu7xeM+s5mD66fTuPMEBr21BhefJmycrx53clwEa34ehrWjD/1eXsxzk9bRuPPL6OkrzxNzaxdGfXRAbWna9TX0DU3xrN22wj6Dy6c2s2/NdJp1fZnh76zF1bcxa38bS0rCHY3pk+Nvs3bOOFx9GzP8nbU06zKBvau/5OqZbao0uTmZWNm70abPZEwtHR74/jG3znEhZAX2rv4VFlNZtPl9l/wuOzz3Jejo4NOgKwC52RlsmDca0KHfhIUMeHUpBfm5bP7jZRQFBY8V75X751+XCQx5ew2uPqXPv+KS4yNZP288rj5NGPL2Gpp0Gc/+NV9y7WzRdxsdfpqtiydRu0lfhr6zjtpN+rJ1kfp5b27lRKvekxk8aSWDJ63ErWYLNv0+kfjoq6o0edmZuHgH0ar3w8/7R4771Gb2r5lOky4vM/TttdTwacz6OWMfEPdt1s8dRw2fxgx9ey1NOk9g3+oScd88zZZFb1G7ST+GvbuO2k36sWXhm8SEF8WdlZHMPz8ORVfPgL7j5/H8e5to+8x7GBb7YWDj6EXwwI8Y/u4Gnn19KRa2NVj720tkpCVUWPxV+TgHcHALoONz0xj67ib6jJ0PCgUb5o6moCC/wj6DJ6FnZkrKucuEvvGZtrNSLtqsv++7cX4ndyPOYWbpqLY+NzuDdXNGg44Oz7y8kIGvLSU/P5eN8x+tXNNmjOV577ycLDxrt6VJ5/Ea85J49yYKRQEdBn3KsCkbadtvKhdCVnB488xyfwbaKtdO7prH+ZDlBA/8iBHvbaZ1n3c4ted3zh74UxX7vciLNO36MkMnr6bnS7NJjA1n4/yXyx3bo9LmdYudc03Gfn5QtTz/3oYKj0+I+7TSIGBkZISzszNubm507dqVwYMHs337dtXrCxYsoE6dOhgbG1O7dm1++eUX1Ws5OTm8+uqruLi4YGxsjJeXF9OnT1e9XnLIwLFjx2jUqBHGxsY0adKE06dPl8rPxYsX6dmzJ+bm5jg5OTFixAji4uJUr7dv357XX3+dd999F1tbW5ydnfnkk0/U9pGUlMS4ceNwcnLC2NiYevXqsXHjRtXrISEhtGvXDhMTE9zd3Xn99ddJT09/6GfVvn17bt26xVtvvYWOjg46Ojqkp6djaWnJypUr1dJu2LABMzMzUlNTVUMjli9fTqtWrTA2NiYgIIC9e/c+UuwVSaFQcHb/Ypp0noBvg67YudSi87CvyMvJ4sqpjWVud3b/YtxrtaJJ5/HYOPnQpPN43Gq24Oz+Rao0Z/YtpG7zgQS0GIStky9t+7+PubUz5w8tU6Wp3aQfzbpNxL1WywfmMy7qEmf2LaTjkC+fPGiUcZ87sJjGnSbgW18Zd6chyrivnn5A3AcW416zFY07jcfG0YfGncZTo2YLzh4oivvsvoXUaTaQus2Vcbfpp4z7wuGiuI9u/QHP2sG06v0ODjXqYmXnjlfd9pha2AGgq6uHqaWD2nLzwk78AntgYGRWIZ8BwKm9CwhoMZB6LQdh6+xL+wEfYG7jzLli31Fx5w4tx8LGhfYDPsDW2Zd6LQcR0HwAJ/f8oUrj7NmAtv2m4B/U64F3P3Ky09n65zt0HvIFRqZWFRaTJtr+vkt+l+Ghu6nh2xwrO3cAosNPkZoQRach07Fz8cfOxZ8Og6dx7/Z5Iq8deayYz+xVP//aaTj/irsQshwLaxfa9X8fWydfAloMom6zAZwu9t2e2Vd03tveP+9rteDMvqLPw7teR7zqBmPj6I2Nozcte72FgZGp2oV47ablO+8fx+m9CwhoXnRMtxvwAebWzpw7WEbchwrjLnZM120+gFO7i8e9CI9arWjaZTy2Tr407VI67pO75mFh40yXYdNx9myApZ0b7rVaYm3voUrj37gPHv6tsLJ3x86lJm2fmUpOVhrxdy5XSOxV/TgHCGgxGFffpljauuHgFkCz7m+SlhRNamGPEm2L3bafKx//QMzaHdrOykNpu/4GZa+Yfas/p8vz36Krp97B9X651nnodOxd/bF39afTkEcr17QZY3nfOzD4BRp3GoeTp+aePp512tJ56HQ8/NtgZeeOd72ONGr/EjfOlf8Y01a5Fh1+Bp96nfAOaI+lnRs1A7vj4d+Gu7cvAGBkYkH/VxZQq1FPbJx8cPEKpP3A/3HvdmiZjRVPSpvXLTp6ephZOqgWU3PbCo9PiPu0PofAjRs32Lp1KwYGBgDMmzePDz74gC+//JKwsDCmTZvGhx9+qBpmMGvWLNavX8/ff//N5cuX+euvv/Dy8tK47/T0dHr37o2/vz8nT57kk08+4e2331ZLEx0dTXBwMIGBgZw4cYKtW7dy9+5dnnvuObV0ixYtwszMjKNHj/LNN9/w2WefsWOHsoAtKCigR48ehISE8Ndff3Hx4kW++uor9PT0ADh//jzdunVjwIABnDt3jhUrVnDw4EFeffXVh34+q1evxs3Njc8++4zo6Giio6MxMzNjyJAhLFiwQC3tggULePbZZ7GwsFCte+edd5g8eTKnT5+mVatW9O3bl/j4+EeKvaKkJESSkRqLh39r1To9fUNq+DYlOrx0Q819MeFn1LYB8KjdhpjwMwDk5+VwLzIU91rqadz9WxPzgP1qkpuTyba/JtNuwIeYPeSOc3ndj9u9RNyuvk0fmL+7t86obQPg4a8ed2yUhrhrteZu4X4VBQXcCtuLtYMXG+aOZsHHrVj543PcuLCzzPe9F3mBuDth1Gk28FFDLVN+Xg73bofi6d9Gbb2nf2uib2r+DGLCz+BZIn7P2m25F3GB/PzcR3r/Pf98hnfdYDz8Wz1axh+DNr/vkjJS47gVtk/tuyzIywEdHbULEX0DI3R0dIm+ebLccd53//wrdY76ty7zvC7rnL53O1T13WpMU+zzKKmgIJ8rpzaRm52Bi1fgI8fxqFRx11Y/pj1qlx13dPgZPGprOKZvFx3TyjRtSqUpvs8bF3bj6F6PzQteZ97/WrL022e4cPjvB+Y1NGQFhsYWFdZDpqof5yXlZmdw6fhqLG3dMLd2flh4ogRt19+KggJ2LH2XoA6jNXbfz9dUrukry7U7N8pXrmkzxsd97/LIyUotd0O4Nss1V5/G3L5yhMR7NwGIjbrEnRsn8aoTXGZ+szPTQEdHrXdURdH2dUtS7C3mfdiGPz7tyOaFb5Ecd/vRAviXU6BTZZf/Iq08dnDjxo2Ym5uTn59PVlYWAN9//z0An3/+OTNmzGDAgAEAeHt7c/HiRebMmcMLL7xAREQENWvWpE2bNujo6ODp6Vnm+yxZsoT8/Hz++OMPTE1NCQgIIDIykpdfLupe9OuvvxIUFMS0adNU6/744w/c3d25cuUKtWrVAqBBgwZ8/PHHANSsWZPZs2eza9cuunTpws6dOzl27BhhYWGq9D4+RWMUv/32W4YNG6aaA6BmzZrMmjWL4OBgfv31V4yNjcuMwdbWFj09PSwsLHB2LrqIGTNmDK1ateLOnTu4uroSFxfHxo0bVY0U97366qsMHDhQFevWrVv5/fffeffdd8sde0XJSIkFwKTwzvR9JhZ2D2zdzUiNw8S8xDbmdqQX7i8zPRFFQb7qjvd9phZ2ZKQ+Wm+Hg2un4+LVCJ96nR5puwfJSFXm07REDKbmjxf3/f1lFcZd8vM0tbDjdmHcmWnx5GZncGr3PJr3eIOWvd4m4vIBti56jX4TFlHDt1mp9w07ugobR19cvIIePdgyqL4jy5J5tVfFU1J6ShyetdXHfppa2lFQkEdWWiJmVo4atyvp8qlN3Iu8yNDJKx+euAJo8/su6fKJtRgYmeFTv6gbtZNnIAaGJhze9B3Ne7wFCgWHN32HQlFQ5nfxIGWdfyYWdmSkaM5XRmosJhbqF1mmFurfbUZqnMZz+v55f1/cncus/HEoeXnZGBia0uul2dg6+z1yHI+q7HLHXlXWlaSMqcQx/Rhxp8Tf5vyhZTRq/yJNukzg7q1z7Fv9BXp6htRp9owq3c3QPWxdNInc3EzMLB3o/8ofmFTQXaaqfpzfd+HQUkI2fUdeTgbWjj70GffHI42lFkrarr9P7p6Hrq4eDdqO0Pg+zoXlWsiG72jRS1muhWwsLNfKOB+rUoyP+94PkxwXwbmDf9G675Rypddmuda401iyM1P5c3oPdHX0KFDk07LnW/g37q3xffNyswnZ+B3+Qb0xMjYvV3yPQpvXLc6eDeg2/GtsHL3ISI3n6PZfWfHDEEZM3YiJ2X9rnjRRNWilQaBDhw78+uuvZGRkMH/+fK5cucJrr71GbGwst2/fZvTo0YwdO1aVPi8vDysrZevmqFGj6NKlC/7+/nTv3p3evXvTtWvpiwCAsLAwGjZsiKmpqWpdy5bq3UZPnjzJnj17MDcvXZhcv35drUGgOBcXF+7duwfAmTNncHNzK/MH9MmTJ7l27RpLlixRrVMoFBQUFHDz5k3q1Hn0Ca6aNWtGQEAAixcv5r333uPPP//Ew8ODdu3aqaUrHq++vj5NmjQhLCzskWIvKTs7m+zsbLV1ubmGGBioz91w+eQG9v7zserv3mN+A5TDOtQoeOh4/VLbaFqnYb+l1j3AzQu7ibx2lMGTV5d7G02unNrA3pVFcfca/ZvG/Ck0rCupPHGX/OyUE7HoFP5fOXbSu15HGrYbBYB9jTrEhJ8m9PDyUg0CebnK7r5NOj+tMXkl41FoWFc8ecnvVKF5fRlSE6PZt+pL+r/yB/oGT2dukar0fZcUdmwVtYJ6q8VuYm5L1xE/sH/1p5w7+Cc6OrrUDOyFQ4266OjoPTB/D8l8+dapXtIUh/o25fk8bBy9GfL2GrIzU7h+bjs7lr7HwFf/rJRGgcIcqf+pUGjMd1npFRqP6dJpiu9ToVDg6F6PVr0nAeDoVpeEmGucP7RMrUHAza85Q99ZS2Z6IqGH/2bLwjd57q1/Sl2Yl8e/7Ti/r2ZQH9xqtSIjJZYz+/5g+59v0v/VZU+tPPivqEr1973bFzh34E+em7SqzHPLxNyW7i/8wN6Vn3K2sFyr1agXDm510dHVXK5VpRjL3KYc712WtOS7rJ87Fr+G3QloMegRt678cu3q6c1cPrme7iNmYOvsR2xUGAfWTMfcypE6zfqrbZufn8vWRW+hUChoP+iTcsb0uCr3ugXAu656rwgXr0AWfN6FsGNrCerwYrn3I0R5aaVBwMzMDD8/5cXarFmz6NChA59++qmqC/28efNo3ry52jb3u98HBQVx8+ZNtmzZws6dO3nuuefo3LlzqfH0UKxAeoCCggL69OnD119/Xeo1FxcX1f/vD2m4T0dHh4LCiWpMTEwe+h7jx4/n9ddfL/Wah4eHhi3KZ8yYMcyePZv33nuPBQsW8OKLLz6kwFa6n6a8sZc0ffp0Pv30U7V13Yd+RM/hn6it8w7ogJNHUUNKfn4OgHLm22ITAmWmxZdqFS9O2RqrfmcoMy1e1SJtYmaDjq5eqbuRGWnxpe5ePUjk1SMkx0cw7wP1H8lbFr6Oi09jBkz8s1z78arbgcGTisWdVxh3aum4H5S/suI2MVfGbXw/bo2fjZ0qja6uPjZO6j+ObBx9iQ4v3Y3y+rlt5OVm4d/kmXJEWn5lfkep8aXuLNxnZln6jkRGagK6uvoYm1mX633v3g4lIy2epd8NUK1TFOQTdf04Zw8s4bUZ59Et42KxvKrS913cnRsnSIq9SdcRpSeT8vBvw/NTd5CZnoiurh5GJpYs+LQNfrZu5YhYXVnfbWaq5nwBmFo4lE6fFq/23Zpa2JNejuNFT98QawdlTzEnj/rcjbjAmf2L6fjc052ozaSM7yMjLR6TMo5pTXeWMtMSSsVd+jtOUIvbzNIBW2dftTQ2Tj5cO7dNbZ2BkSnWDp5YO3ji4hXIoi+6EnpkJU27aJ6Q7EH+jcc5KMcdG5lYYO3ghZNnQ37/sDk3L+ygZiPNdx2FUlWqv+/cOElGWjyLPu+oel1RkM+h9V9zdv8iXvhwN6As10Z+sIPMtER09ZTl2h8ft8GyjHKtKsV4f3K5R33vsqQl32XtLy/g7BVIh0HlLwu1Wa4dXP8NjTuNo1ZQLwDsXf1JTbzDiZ1z1BoE8vNz2bLwTVISIuk/cdFT6R0A2rtu0cTAyBR7l1okxoY/9j7+bQrkKQOVSutzCAB8/PHHfPfdd+Tn51OjRg1u3LiBn5+f2uLt7a1Kb2lpyeDBg5k3bx4rVqxg1apVJCSUnjm5bt26nD17lszMTNW6I0fUJ5cJCgoiNDQULy+vUu9pZla+CdUaNGhAZGQkV65c0fj6/fcouX8/Pz8MDR/eddHQ0JD8/NKzIj///PNEREQwa9YsQkNDeeGFF0qlKR5vXl4eJ0+epHbt2k8U+9SpU0lOTlZbujw3tXS+jc1VF6PWDp7YOvlhauHA7SshqjT5eTlEXT+Oi1ejMt/P2SuQ25dD1NZFXD6Ec+E4YT19QxzdAtT2C3D7SgjOD9hvSUGdxjL07XUMmbxGtQC06fcenYdMf8jWRQyNzbGy91QtNoVxR5aI+8714w/Mn5NnYOmYSsTtUKN03JFXQnAq3K+eviEO7vVIKhyTd19SXDgWNq6l3jPs6Eq86naosG7F9+npG+LoHkDEZfVH5kRcDsHFW/Nn4OwVSESJ7/3W5YM4etRDT89A4zYledRqwfNTNjD8nbWqxcm9HrUb92H4O2ufuDEAqtb3XVzYsZU4uAVg76r58WygvOAxMrEk8uoRMtPi8QroUJ6Q1ZR1/kVcCSnzvHb2CiSiZPrLh3B0D1B9t85epT+P4ud92RSqH6tP0/24NR7TZcTtouGYjrh0EEf3omNameZQqTTF9+niHVT6nI4Nx8KmxkNy/fifzb/5OFdXOcfHv11Vqr/9m/QtVTebWTrSqMNo+o6fX+o9TcyLyrWMtHi862ku16pSjJa2bo/13pqkJd1lzS8jcXCrS6ch09DRLf+lvjbLtbycrNI9hXT01G7u3W8MSIq9xTOvLHyq3ee1dd2iSV5eDgl3r1fY3FZClFQlGgTat29PQEAA06ZN45NPPmH69On8+OOPXLlyhfPnz7NgwQLVHAMzZ85k+fLlXLp0iStXrvDPP//g7OyMtbV1qf0OGzYMXV1dRo8ezcWLF9m8eTPfffedWpqJEyeSkJDA0KFDOXbsGDdu3GD79u289NJLGn+EaxIcHEy7du0YOHAgO3bsUPVg2Lp1KwBTpkzh8OHDTJw4kTNnznD16lXWr1/Pa6+9Vq79e3l5sX//fqKiotSeAGBjY8OAAQN455136Nq1K25upVvBf/75Z9asWcOlS5eYOHEiiYmJvPTSS08Uu5GREZaWlmpLyeECmujo6NCw3UhO7JzD9XM7iI++ws5lU9E3NKZWUNHdmh1LpxCycYbq74ZtRxBx5RAnd80j8e4NTu6aR+SVwzRsV9QAEhg8iotHV3Lx6CoS7l7nwNrppCVGU69V0XPNs9KTiI0KIyHmOgBJ924SGxWmGsNmZumAnUsttQXAwsYVS7tHv3NaPO4GbUdyctccbpxXxr17hTLu4nepdi6bwuHNRXE3aDuC21cOcWr3PBLv3eDU7nlEXj1Mw7ZFcTcMHkXYsZWEHVPGfXDddFKToqnXoijuRu1Hc+3sFi4e+ZvkuFucP/gX4Rf3UK/VMLV8Jsfd4s7NE9Rt/qhdC8snqP2LXDiyktAjK0mIuc6+1dNITYymQeGz5w9umMG2v94tir/1EFIS77BvzXQSYq4TemQloUdW0bjDS6o0ygmQwrgXGUZBXg7pyXe5FxlGUuwtQHnBZ+9aS23RNzLF2Mwae9eKnSPjPm1/3wA5WWlcP7uNOs00f5dhx1YRc+sMyXERXD65nm1/vkHDti889vPZA9uPIvRIsfNvjfr5F7JxBtuXFI1hrddqCKmJdziwdjoJd69z8egqLh5dRaNi321guxFEXFae9wnFzvvizx0P2fQ9UddPkJIQSdydyxzeNJOoa8fwb9xHlabkeZ9Y4rx/Eo3av1h4XCqP6f1rppGWGE39wmP60IYZbC92TNdrrYx7f/Fj+ugqgjoWizt4JBGXD3Fi51wS7l7nxM653C4Rd6P2LxATfpbjO34jKfYWl09u4MLhv2nQRnlO52ZnELLxe6LDz5CSEMW926HsXP4BaUkx1Azs/sRxQ9U/zpPjb3Ny1xzuRV4gNfGO8nGHf76FnoERHrXLnqSsMumZmWLZsDaWDZWNGabeblg2rI2xe9k99LRFm/W3iZlNqbpZV08fUwt7tTLr4rFVxIQXlmsn1rNl0RsEtit/uabNGMv73ukpscRGhZEcFwFAfPQVYqPCyEpPApQ9A9b8MhILaxda95lCZloC6Smxj1Teaatc8w7owPEdv3EzdC8p8ZFcP7eD03sX4Fu/MwAF+XlsXvA6925foNuI71AU5Ktie1qNfNq4bgHYv/ZrIq8dIzn+NtHhZ9n0x+vkZKVRt8TQCSEqilaGDGgyadIkXnzxRa5du8b8+fP59ttveffddzEzM6N+/fqqCfnMzc35+uuvuXr1Knp6ejRt2pTNmzejq6EF1NzcnA0bNjBhwgQaNWpE3bp1+frrr1WT7AG4urpy6NAhpkyZQrdu3cjOzsbT05Pu3btr3GdZVq1axdtvv83QoUNJT0/Hz8+Pr776ClD2INi3bx8ffPABbdu2RaFQ4Ovry+DBg8u1788++4zx48fj6+tLdna2Wmvp6NGjWbp0qepHfklfffUVX3/9NadPn8bX15d169Zhb29fobE/iqCOY8jLzWLfqs/IzkzGyaMB/cb/jmGxLl+piXfUWoldvIPoNmIGR7b8yNGts7Cyc6fbyO9xLvbYnZqNepKVkcTx7T+TnhKLnUtNeo+dg6Vt0R2zm6G72bX8fdXf2/5Ujr9t2nUizbuXr3HmcTXqoIx7/+qiuPuMVY87rWTcXkF0HT6Do1t/5Ni2WVjaudNlxPdqjxuqGdiT7PQkTuwojNu5Jr1Hz8GiWNw+9bsQPPATTu2ey4G1X2Lt6E33kbNw8W6slsewY6sws3QqNRNyRfEP6klWeiJHtv1CRvI97Fxq0W/8XNV3lJ4SS0pitCq9lZ07z4yfy7410zl3YAlmVo60H/ABNQO7qdKkJd9j6bfPqP4+ufsPTu7+gxp+zRj0WvmGeDwN2vy+Aa6e2QQoqNmol8b8JcWGc2TLTLIzkrGwcaVxpwmqOSYeR61GPclKT+LYtqLzr8+4OWrfbVqxibGs7NzoO3YOB9Z+xbmDSzG3cqRd/w/wa1j03bp4B9F9xAwOb/mRI1sKz/sX1M/7zNR4dix5l/SUWIxMLLBz8afv+HlqM3XfDN3NzmXFzvvFyvO+WbcnP+9rBfUkKyORY9t+IT1FeUz3LXZMZ6TEklrimO47bi4H1k7n3MElmFs5EjxAQ9wjv+fI5h9UcXd/YSbOXkVxO3k0oNfo2YRs/J5j237G0taNdv3fp3aTvgDo6OqReO8GYQvWkJmWiImZNY4e9Xn29SXYuZSeof1xVeXjXF/fkOibJzl3YDHZmSmYmNvh6tOEAa8ue6w5FJ4Gq8b1aLmrqJyq+53yOL29eDXnRpfudadt2qy/yyPpXjhHNs0kKyMZC1tXmnSeQGDwqH9NjOV57wshyzm+/WfV36tnPw9ApyHTqNNsALcvHyI57hbJcbdY+Jl6w9er318q12egrXIteOD/OLL5R/au/JSMtHjMLB2p32owzbpNBCAtKYabF5TDQ5Z9208tzwMmLsatpvpQ44qgreuWtKQYtiyaRGZ6EibmNrh4BjJ40t+PfE78mykU/83Z/KsqHUV5BtqLKmvJkiW88cYb3LlzR234QXh4ON7e3pw+fZrAwMCnno+fNlXPw6hwGolqx9CgehbUObnV8zjXe/KRFf9K5ZmT5b8oL696Hud+A8o77OC/5cba8v1QFP8NurrVs1yrpmHzcsV0Cqt0W04/2mMaK1OPRo8//KOqqjI9BMSjycjI4ObNm0yfPp3x48eXay4CIYQQQgghhBDivioxh0B1duDAAczNzctcyvLNN98QGBiIk5MTU6dWva6FQgghhBBCCPGoFIqqu/wXSQ8BLWvSpAlnzpx55O0++eQTPvnkkzJf9/LyKtdjF4UQQgghhBBCVE/SIKBlJiYm+Pn5PTyhEEIIIYQQQghRgaRBQAghhBBCCCFElVBANZ0FUktkDgEhhBBCCCGEEKIakgYBIYQQQgghhBCiGpIhA0IIIYQQQgghqgSZF71ySQ8BIYQQQgghhBCiGpIGASGEEEIIIYQQohqSIQNCCCGEEEIIIaoEhUKeMlCZpIeAEEIIIYQQQghRDUmDgBBCCCGEEEIIUQ3JkAEhhBBCCCGEEFVCgTxloFJJDwEhhBBCCCGEEKIakgYBIYQQQgghhBCiGpIhA0IIIYQQQgghqgSFDBmoVNJDQAghhBBCCCGEqIakQUAIIYQQQgghhKiGZMiAEEIIIYQQQogqQYGOtrNQrUgPASGEEEIIIYQQohqSBgEhhBBCCCGEEKIakiEDQgghhBBCCCGqhAJ5ykClkh4CQgghhBBCCCFENSQNAkIIIYQQQgghRDUkQwaEEEIIIYQQQlQJChkyUKmkh4AQQgghhBBCCFENSQ8BUSF0qunjQm0sq2fgAS4J2s6CVqRkm2g7C1qRr6iebcfV9Q7F8UvV89LgxtpL2s6CVvg8U1vbWdAK41NntZ0FrbiTaKztLGiFjXmetrOgJdWzPBePRo4SIYQQQgghhBBVQnVtkNeW6nnbRwghhBBCCCGEqOakQUAIIYQQQgghhKiGZMiAEEIIIYQQQogqoUBRPefo0hbpISCEEEIIIYQQQlRD0iAghBBCCCGEEEJUQzJkQAghhBBCCCFElSBPGahc0kNACCGEEEIIIYSohqRBQAghhBBCCCGEqIZkyIAQQgghhBBCiCpBhgxULukhIIQQQgghhBBCVEPSICCEEEIIIYQQQlRDMmRACCGEEEIIIUSVUCBDBiqV9BAQQgghhBBCCCGqIWkQEEIIIYQQQgghqiEZMiCEEEIIIYQQokpQKHS0nYVqRXoICCGEEEIIIYQQ1ZA0CAghhBBCCCGEENWQDBkQQgghhBBCCFElKOQpA5VKeggIIYQQQgghhBDVkDQICCGEEEIIIYQQ1ZAMGRBCCCGEEEIIUSUUyJCBSiU9BIQQQgghhBBCiGpIGgSEEEIIIYQQQohq6D/XIBAeHo6Ojg5nzpzRdlYqRPv27XnzzTcr9T1HjRrFM888U6nvKYQQQgghhBAKRdVd/otkDgFRac4dXMrpPb+TnhKLrbMfbZ95nxq+TcpMH3XtGAfWfUVCzDXMLB0J6jiG+q2HqKW5dnYbR7bMIjkuAit7D1r2fBPfBl2K9nH9OKd2/05sZCjpKbH0fGk2vvU7q+/j3HZCQ1ZwLzKUrPQkhry9BocadSo2+BJO7F3CkW2/k5Yci4NrTboMfh+PmmV/FrcuH2PnP18Re+cqFtaOtOg2hsbBQ1Wvnw1ZzcaFU0ttN+Xnc+gbGAGwf/1PHNg4W+11M0t73vzuUAVF9eh2bFrFxtVLSEqMp4aHNyPHvkntgECNaY+F7GXnltXcunGVvNwcanj4MHDYaBoGtdCYPmT/DmZ/+xGNm7dj8v++fopRPLq9W1ewY/0ikhPjcHX3ZdCod6hZN0hj2uTEWFYumkHEjTDuRUfQoedQnnvxXbU0Mz4azdWLJ0ttWy+oDa++P7vUem3Zv205O9ctJDkpDhc3X5598V386jTWmDY5MZbVi74j4sZFYmMiaN9jGM++OKVUuoz0FDYs+4kzR3eRkZ6CnWMNBox8m3pBbZ92OOW2f9tydq0vinvgqIfEvfg7bhfGHdxjGM+OKjvus8eKxT3ibQK0HHfbAB0CfXUwNoA7CbDtZAFxKQ/ext8NguvpYm0OSWmw93wBV6LU99m2nvr9i7RMBbPWFxTtowY08tXF2RZMjXSYvy2fe0kVGFgxCoWCY9tmE3rkb7IzUnDybEDwwI+wc675wO2und3G0a1F9VWLHur1FcD5Q0s5ted3MorVk64+muuGPX9/ROiRv2nTbyqBwS+o1ifHRXBo/TfcuXmS/LwcPGu3pd2A/2FqYf/kwVcA2zZN8Jk8Gqugehi7OnJi4CvcXb9L29l6bPu2rmDn+oUkJ8bh4u7LoFHv4veA8nzVohnKci06gvY9hzGoRHk+86PRXL14otS2AUFtmajF8vzEniUcLnbd0nXw+3jUevB1y46/i65bWnYbQ+P2Q9XSZGWksGfNTC6f3kFmejLW9m50ee49/OoHA3By71JO7l1GUryyQHBwrUnb3q+oXteGQ9uXsXfjAlKSYnF286PfyPfwqa25PE9JjGX9X98QefMicTG3aNNtOM+8oH6tdu7YDnatnUfc3QgK8vOwd/YguNcomrTtWxnhCAFIg4CoJFdOb+bA2um0f/YjXLyDuBCygg1zxzH8vY1Y2LiWSp8cH8n6eeMJaDGIrs9/S/TNU+xd+Rkm5jb4NewGQHT4abYunkSLHq/jU78LN87vYOuitxj4+hKcPRsCkJuTiX2N2tRpPoAtC17XmLe87ExcvIPwC+zO7hUfPr0PodDF45vZsWI63Yd9jLtfEKf2L2f5rLGM/2QTVnalP4ukuNus+GkcgW0H0W/0t9y+doqtSz/FzNyW2o27qdIZGZsz4fOtatvebwy4z8G1JsPeWqD6W0dXr4KjK7/DB3ayeP4PvDThHWrVbcCurWv4+pNJfPvzUuwdnUulvxR6mvqBzRg8YgKm5hbs27mR7z5/h8+/m4+Xr79a2th70Sz946cyGxe06cShbfyz8FuGjnkf39qBHNixktnTJvLxzNXYOriUSp+bm4O5pQ09Boxh18a/NO5zwjvfk5eXq/o7PS2JLyYPJqhlF43pteHkoa2sXPANg8d+gK9/Iw7u+Iefv3yFD2eu1Rh3XmHc3QeOZXcZcefl5vLT5+OxsLRlzOQZWNs5kRgXg7GJ2dMOp9xOhmxl1cJvGDzmA3z8G3Fw5z/8Mu0V/jdzLbb2muO2sLSh24Cx7NlURtx5ucz+Qhn36EkzsLFzIjE+BiNj7cbdorYOzfx12Hi0gIQ0aF1Xh6HtdZmzuYCcPM3b1LCD/i112XdBwZVIBbXcdOjfSpc/dxVwJ6EoXWyygqV7ixoASt6lMdDXITJOQVgk9Gqq8xSiK3Jq93zO7FtI56HTsXbw4sSO31j320s8/94WDI3NNW4THX6abX9Oonn31/Gt34Xr53ewbfFbDHitqL66WlhPBg9U1pOhhfXksCml68kb53dyN+IcZpaOautzszNYN2c09q61eeblhQAc3TqLjfNfZtAbK9DR1X7HUD0zU1LOXSZy0Woa/1N1Giwfx4lDW1m58BuGjPkAn9qBHNyxkp+nvcKHM9c8uFwbMJbdG//UuM9xGsrzaZOf02p5Hnp8M9tXTKfH8MLrln3LWTZrLBM+1Xzdkhh7m+WzxtGo7SCeGaO8btmy5FNMLWypU3jdkp+Xw5LvX8TM0o6BE37EwsaZlIRojIqdQxY2znQc+DY2Dh4AnDu8lr9/nsjYD9fgUOPBDXBPw+nDW1i3+CsGvPQh3v6NOLzzb+Z9NZ53v1uPjX3pzyEvLwdzS1s6PzOOfZsXa9ynqbkVnfuPw9HVGz19Ay6e2seK3/6HuaUttRu2edohCQE8xpCBrVu30qZNG6ytrbGzs6N3795cv34dgJYtW/Lee++ppY+NjcXAwIA9e/YAEB0dTa9evTAxMcHb25ulS5fi5eXFDz/8UK73v3TpEm3atMHY2Ji6deuyc+dOdHR0WLt2rcb0CxcuxNraWm3d2rVr0dFRv2BYv349TZo0wdjYGHt7ewYMGKB6LTExkZEjR2JjY4OpqSk9evTg6tWrqtdv3bpFnz59sLGxwczMjICAADZv3qx6/eLFi/Ts2RNzc3OcnJwYMWIEcXFx5Yq3pJycHN59911q1KiBmZkZzZs3Z+/evQAkJydjYmLC1q3qPwpXr16NmZkZaWlpAERFRTF48GBsbGyws7OjX79+hIeHP1Z+yuvM3oXUbT6QgBaDsHXypV3/9zG3dub8oWUa018IWY6FtQvt+r+PrZMvAS0GUbfZAE7v+aNon/sW416rFU06j8fWyYcmncfjVqsFZ/YtUqXxqtOOlj3fxK9B1zLzVrtpP5p1m4h7rZYVF/ADHN2xgMA2A2nUdhD2Lr50HfwBljbOnNqn+bM4tW85lrYudB38AfYuvjRqO4iGrQdwZMcf6gl1dDC3clBbStLR1VN73czC9mmEWC6b1y6jfZc+dOjWlxruXowc+xZ29o7s3LJaY/qRY9+iz8Dn8a1VFxdXd4aMfBlnF3dOHTuolq4gP5+fv/uEgcPG4OhUuoLWtp0b/qR1x/606TwAFzcfnnvxXWzsnNm3/R+N6e0dazD4pSm0aN8HY1PNPzbMLKywsrFXLWFnj2BoZEzjlmUf95Vt18bFtOzYn9adBuLs5sOzL07Bxt6ZA9v/1pjezrEGg156j+bBfTEpI+7De9aQkZbM+Hd/wLd2I+wcXPGrE4Sbl7/G9NqwuzDuVvfjHvXwuJ99URl3Wd/34d3KuMe9o4zb1sEV39raj7tZLR0OXVRwOQpik2HDUQUGehDgWfYP9Ka1dLh5Fw6HKYhPVf4bfle5vriCAkjPKloystX3c+GWgoMXFYTHPN3+nAqFgrP7F9Ok8wR8G3TFzqUWnYd9RV5OFldObSxzu7P7i+orm/v1Vc0WnN1fVF+d2adeT7Yto55MS7rLvtWf0+X5b9HVU7+vEx1+itSEKDoPnY69qz/2rv50GjKNe7fPE3ntSMV+GI8pdtt+rnz8AzFrd2g7K09s94Y/adWxP60Ly/NBL76LtZ0z+x9wfj9XWJ6bmFpoTFOyPL9UWJ5rs0Gg1HXLEOV1y8mHXbcMKbpuCWw9gCPbi13DHVxFZkYyg175GXe/xljb1cCjZhOc3Gur0tRq2BG/+sHYOXtj5+xNh/5vYWhkSuSNM087ZI32b1pEsw4DadHxWZxq+PLMC1OxtnMhZMcKjeltHWrwzAtTadKuX5nft1/dZtRv2hmnGr7YO3nQrscIXDxqcfPyqacZSpWn7WEB1W3IwCM3CKSnpzNp0iSOHz/Orl270NXVpX///hQUFDB8+HCWLVuGotintWLFCpycnAgOVnbvGTlyJHfu3GHv3r2sWrWKuXPncu/evXK9d0FBAc888wympqYcPXqUuXPn8sEHHzxqCKVs2rSJAQMG0KtXL06fPs2uXbto0qSoG9SoUaM4ceIE69ev5/DhwygUCnr27ElurrIFd+LEiWRnZ7N//37Onz/P119/jbm58kIuOjqa4OBgAgMDOXHiBFu3buXu3bs899xzj5XXF198kUOHDrF8+XLOnTvHoEGD6N69O1evXsXKyopevXqxZMkStW2WLl1Kv379MDc3JyMjgw4dOmBubs7+/fs5ePAg5ubmdO/enZycnMf8BB8sPy+He5GhePi3Vlvv4d+a6PDTGreJCT9TOn3tNty7HUp+fm7ZafzbEBN+puIyX8Hy83KIjgjFu656q69P3dZEXtf8WUTeOINPXfU4fQLaEh1+gfxidxFysjP46b0OzHq3HSt+Gk9MxMVS+0q8d4sf32nD7KkdWTP3LRJjb1dAVI8uLzeXm9cu06BRM7X19Rs150rY+XLto6CggKzMDMwsLNXWr17+B5ZW1nToWvW62+Xl5hJxI4w6DdUbn+o0bMGNy2cr7H0O7V5Lk9bdMDI2qbB9Pom83Fxu3wijTsNWauvrNGjJjctnHnu/507sxbtWQ1bMn8Z7Y9rzxaT+bF09j4L8/CfMccXIyys77ptPEPf5k3vxrtmQFb9PY+rY9nw5uT/bVs+joEB7cVubgbmJDjeL/SDPL4CIWGUvgLLUsNPhRokf8TdiFLjZqzcI2FjAa311eaWXLs+01MFaS50hUhIiyUiNVat79PQNqeHbtMz6DMqu0+7XV/frSfda6mnc/VsTU2y/ioICdix9l6AOozUOUcjPywEdHfT0DVXr9PWN0NHR5c6N0sOKxOMruzxvWaHlecjuNTRu3R0jY9MK2+ejyM/LIfpWKD4lr1sCHnLdEqDhuuVW0XXLlbO7cfMJZOvSz5g5qRVzPu7NwU2/lVmOFRTkE3psE7k5Gbj5NqqAyB5NXl4OkTcv4t9AvTz3b9CK8CtnKuQ9FAoFVy4cITY6HJ/aZQ/HEKKiPfKQgYEDB6r9/fvvv+Po6MjFixcZPHgwb731FgcPHqRtW+U4xqVLlzJs2DB0dXW5dOkSO3fu5Pjx46of3PPnz6dmzfJ1+9m+fTvXr19n7969ODsruxR/+eWXdOnyZK2mX375JUOGDOHTTz9VrWvYsLAL39WrrF+/nkOHDtGqlbIQWLJkCe7u7qxdu5ZBgwYRERHBwIEDqV+/PgA+Pj6q/fz6668EBQUxbdo01bo//vgDd3d3rly5Qq1atcqdz+vXr7Ns2TIiIyNxdVXe+Xz77bfZunUrCxYsYNq0aQwfPpyRI0eSkZGBqakpKSkpbNq0iVWrVgGwfPlydHV1mT9/vqqXxIIFC7C2tmbv3r107VrxdxQz0xNRFORjaqF+VWhiYUdGiuaeEhmpsZhYqFc+phZ2FBTkkZWWiJmVIxmpcaX2aWphR3pKbMUGUIEy0pSfhbmler7NLO1JKyPf6clxmAWoj/00t1R+FhlpiVhYO2Lv7EOfUdNxrOFPdlYax3ctZtHXQxn70TpsnbwAcPVuQN8Xv8bWyYv0lHgObv6VRV8PYdwnGzE1t3kq8ZYlNSWJgoJ8rKzVeyhYWduQnJRQxlbqNq1dSnZ2Ji3adFKtu3zxLHt3bGDaj5q75mlbWmoiBQX5WFqpx21pZUdK0uP1Girp5tXz3Im4xoiXP66Q/VUEVdzW6se9hfWTxR1/N5IrF47RtE0vXpn6C/dibvH3/GkU5OfTc9CEJ832E0tLUcZtYVUi7if8vuPvRnIlVhn3y1N/4V70Lf7+fRoFBfn0eFY7cZsZK/9Nz1Jfn56lwMpUB9B8W8XcWNM2RfsDiIpXsOGogoRU5frWdXUZ2UmHeVsLyHw67dhlyigsp0001GepiXfK3i41DhPzEtuYF9VXZdWTphZ2ZKQWHSsnd89DV1ePBm1HaHwfZ89ADAxNCNnwHS16vQUKBSEbv0OhKFDlXVSM++VayfO7Isvz8MLy/PmXP6mQ/T2O+9ctZiWvWyzsSUt+wHVLiTkrzCztKMgvum5JirtN+KUj1GvehyFvzCXh7i22Lv2MgoI82vV5VbXdvcjLLPhqCHm52RgamTLolZ9xcPWr+EAfIr3wusW8xPdtbmVHavKTfd+ZGal89koH8vJy0dXVZcCLH5ZqeBDiaXrkBoHr16/z4YcfcuTIEeLi4igoUI7pi4iIoF69enTp0oUlS5bQtm1bbt68yeHDh/n1118BuHz5Mvr6+gQFFU224ufnh41N+X6MXL58GXd3d1VjAECzZs0esEX5nDlzhrFjx2p8LSwsDH19fZo3b65aZ2dnh7+/P2FhYQC8/vrrvPzyy2zfvp3OnTszcOBAGjRoAMDJkyfZs2ePqsdAcdevX3+kBoFTp06hUChKbZOdnY2dnbKA6tWrF/r6+qxfv54hQ4awatUqLCwsVD/0T548ybVr17CwUO+6lJWVpRr68TDZ2dlkZ6v318zNNcSgxHj1UnQ0dBvVtE71kvprqo4nxdaXTFPWuqqnZGwKdHhAvkt9ForC1cr1NXwCqeETqHrd3TeI+V/05/iev+g25H8ApSbhqeEbyC8fdOH84bU07/Li4wbyZEp+V+XsihWybzurl/7OpP99rWpUyMxI55cZnzLm1alYWllXbD4rWKljGwUlj4nHFbJ7La4efnjXrF8h+6tYJb9vxROdrwqFAgtLW4aN/whdPT08fOuSnBDLzvULq0SDgIqG7/tJ4i4ojHvo+I/Q1dXDw6cuyYmx7Fq/sNIaBAI8dejRuCiGvw8orwU0ncKP2sOy5EdzI6bo/7HJEBVXwMu9dKnvpcOxK0+3/+blkxvY+09R41rvMb8V5rF02fXAMlzTNprWaSoTC9fdu32Bcwf+5LlJq8o8fkzMben+wg/sXfkpZw/+iY6OLrUa9cLBra5W54z5L9NUnj/sWCivkN1rcPXww6sKlOelj7kHl2Oa0hdfryhQYGZpR6+Rn6Orq4eLZz1Sk+5xZPvvag0Cds7ejP1oLVkZKVw6tZ31f0xhxDt/aaVRADSc5wrFA69ly8PI2IzJX60iOyuDqxeOsv6vb7BzcsOv7pP/xvm3KviPds2vqh65QaBPnz64u7szb948XF1dKSgooF69eqru5sOHD+eNN97gp59+YunSpQQEBKjutivKGHhR1npN6R71IkpXV7fU/u939b/PxKTsbrUPyvP9vIwZM4Zu3bqxadMmtm/fzvTp05kxYwavvfYaBQUF9OnTh6+/Lj3LuYtL6QlnHqSgoAA9PT1OnjyJnp56xX6/wcHQ0JBnn32WpUuXMmTIEJYuXcrgwYPR19dX7aNx48alhhUAODiUHnOuyfTp09V6UwD0GPYRPYd/ojG9iZkNOrp6pXoDZKbGl7obcp+phUPp9Gnx6OrqY2xmXZjGnvQSaTJS46vMTMqamJorP4s0Dfk2s9ScbzMre9JLtMKnpyagq6uPSeFnUZKOri6uXvVJuBteZl4MjUxxrFGLhHtlp3laLCyt0dXVIzkxXm19cnJiqV4DJR0+sJO5s6bxxntfUj+wqLK8GxNF7L1ovvv8HdU6hUL5I+X5fm2Y8dtynFzcKjCKR2duYaOMO0k97tTkhFJ3zx9HTnYmxw9to8/gl594XxXpftwl75qlJieUurv2KCyt7dHT10e3WHno7OZNSlIcebm56BsYPPa+K4K5pTLu1BJxpz1h3Fb34y72A8+5RmHcebno6z/9uK9GKbgTX1Q/6hUOQCx5x9/MWIf0rLLr+LQSvQEATI1K9xooLjdf2TBgq3lIboXyDuiAk0cD1d/5+cprnYyUOLUJ/TLT4kv1GijO1MJe7U7//W3u11dl1ZMZafGYFvYsuHPjJBlp8Sz6vKPqdUVBPofWf83Z/Yt44cPdgHLo3MgPdpCZloiunh5GJpb88XEbLG21W/791zywXKug8vzEoW30HvzKE+/rSaiuW0rcBU9/yHVLyV6P6SkJ6OoVXbeYWzugq6dejtm7+JCWHEt+Xo5q2IueviG2jp4AuHrV5074eY7tWkyvEZ9VVIjlYlZ43VKyN0BaSgIWlk/2fevq6mLvrIyxhlcd7t65wa5186p1g4CoXI80h0B8fDxhYWH873//o1OnTtSpU4fExES1NM888wxZWVls3bqVpUuX8vzzz6teq127Nnl5eZw+XTTm6Nq1ayQlJZXr/WvXrk1ERAR3795VrTt+/PgDt3FwcCA1NZX09HTVujNnzqiladCgAbt2aX7kTd26dcnLy+Po0aOqdfHx8Vy5coU6dYoeTefu7s6ECRNYvXo1kydPZt68eQAEBQURGhqKl5cXfn5+aouZ2aMNgmzUqBH5+fncu3ev1L6K95oYPnw4W7duJTQ0lD179jB8+HDVa0FBQVy9ehVHR8dS+7CysipXPqZOnUpycrLa0uW50o+8u09P3xBHtwBuXwlRWx9xJQQXL83jwJy9Aokomf7yIRzdA9DTM1ClKbXPy4dw9gosVxzaoKdviItHADcvqj/q72ZYSJlj4tx8ArkZph7nzYsHcfGqh14ZF/4KhYK7t8M0Tix4X15uDnHR1x+Y5mnRNzDA28+f86fVz98LZ45Rq07Zd0JC9m3ntx8+Z+Lbn9Koqfr4RFc3T76e/RfTZy1SLUHN2lK3fhDTZy3Czt7pqcTyKPQNDPDwqUPYucNq68POHcXHv+ET7/9EyHbycnNo3q7XE++rIukbGODuU4dLJeK+dO4IPv6Bj71fn9qBxMbcVvVUA7h35xZWNg5abwwA0NcvO27vJ4nbX0Pc0bewtHGolMYAgJw8SEwrWuJSlI8C9HYuarTX1QUPB4iKL3s/UfEKvJ3UG/p9nJVPDCiLni7YWUJa5hOH8VCGxuZYO3iqFlsnP0wtHNTqnvy8HKKuHy+zPoPC+upy2fVVWfXk7SshOBfu179JX4a+vY4hk9eoFjNLRxp1GE3f8fNLvaeJuQ1GJpZEXj1CRlo83vU6PO7HIDQoKs/VJ2tUlmtPXp6fLCzPm2m5PNfTN8TFM4CbYSWuWy4+5LrlovqxfOPiQVw8i65b3HyDSLwXgaJYOZZwNxxzKwe1OTBKUSjIz63ksUKAvr4hbt51uXJOPa4r50PwqhVYsW+mUJBf4ualEE/TIzUI3J+Vfu7cuVy7do3du3czadIktTRmZmb069ePDz/8kLCwMIYNG6Z6rXbt2nTu3Jlx48Zx7NgxTp8+zbhx4zAxMSnXnf8uXbrg6+vLCy+8wLlz5zh06JBqUsGytm/evDmmpqa8//77XLt2jaVLl7Jw4UK1NB9//DHLli3j448/JiwsjPPnz/PNN98AULNmTfr168fYsWM5ePAgZ8+e5fnnn6dGjRr069cPgDfffJNt27Zx8+ZNTp06xe7du1WNBRMnTiQhIYGhQ4dy7Ngxbty4wfbt23nppZfIf8SJr2rVqqWaI2D16tXcvHmT48eP8/XXX6s91SA4OBgnJyeGDx+Ol5cXLVoUPad9+PDh2Nvb069fPw4cOMDNmzfZt28fb7zxBpGRkeXKh5GREZaWlmrLw4YLBLYfReiRlVw8uoqEu9c5sGY6aYnR1Gs1BICQjTPYvqToWdv1Wg0hNfEOB9ZOJ+HudS4eXcXFo6to1OGlon22G0HE5UOc3DWPhLs3OLlrHpFXDqs9jzknO53YqDBio5TDO1LiI4mNClMb65mVnkRsVBgJMcohE4n3bhIbFfbU5iJo3uVFzhxcyZmDK4mLvs6OFdNITogmKFj5WexZPYP1fxQ9lzgoeAjJ8XfY8fd04qKvF267ihZdij6L/Rtmcz30AImxt4m5HcbGRe9z9/YlgoKLnvm785+vuXX5GElxt4m6cZZVc14nOyuNBi37P5U4H6bnM0PZs2M9e3dsIOp2OH/O+4G42Lt06qHMz/JFv/DL90U9UUL2befXmZ/x/EuvU7N2PZIS40lKjCcjXfn0DENDI9w9fdUWMzNzjE3McPf0rRI/EAE69xnBoV1rOLRrLdGRN/h7wbckxkXTruuzAKxZMosFs/6nts3tm5e4ffMS2VmZpCYncvvmJe7cLj3EJ2TXWgKbdsDcwroyQnkknXqPJGTXakJ2ryEm8gYrF35DQlw0bboOAmDdkh9Z9NP7atsUxZ1Baooy7uhicbfrOpj01CRWLviau3fCuXByP9vWzKddt8GVGtuDdCyM+3Bh3KsK427bpTDupT+yeLZ63JHhl4gMV8adlpJIZPgloiOL4m57P+6FhXGf2s/2KhD3sSsKWtXRoVYNcLCCPs10yM2H0FtFP+77NNehff2i+vr4FQU+zspHFtpZKP/1clKuv69jQx08HMDKDFxtYUArXYwM4Fx4URpjQ3C0BvvCdm07Cx0crUv3PnhSOjo6NGw3khM753D93A7io6+wc9lU9A2NqRXUW5Vux9IphGycofq7YdsRRFxR1leJxeqrhu2K6qvA4FFcPFqsnlyrXk+amNlg51JLbdHV08fUwh4bx6K5iy4eW0VM+BmS4yK4fGI9Wxa9QWC7F9TSaJOemSmWDWtj2VA5m7yptxuWDWtj7P5ovSargo59RijLtV1riI68wcrC8rxtYbm2dsmPLJylPvl18XItLbl0uXZfyK41NKwi5XnzLi9y+kDRdcv2Etctu1fPYN3vGq5bVpS4buladN3SuP1QMtMS2bb8S+JjbnL13F4ObZ5Dkw5FN7F2r/6eiCsnSIqL5F7kZfasmcmty8eo16JP5QVfTLteL3B0zyqO7lnN3ajrrFv8FYlx0bTsrCx7Ny2bydJf1G+QRYWHERUepvy+UxOJCg8jJvKa6vVda+dx+VwI8XdvczfqBvs2LeTEgfUEtelNdabtJwlUt6cMPNKQAV1dXZYvX87rr79OvXr18Pf3Z9asWbRv314t3fDhw+nVqxft2rXDw8ND7bXFixczevRo2rVrh7OzM9OnTyc0NBRj44fX2np6eqxdu5YxY8bQtGlTfHx8+Pbbb+nTp0+Z29va2vLXX3/xzjvvMHfuXDp37swnn3zCuHHjVGnat2/PP//8w+eff85XX32FpaUl7dq1U72+YMEC3njjDXr37k1OTg7t2rVj8+bNGBT+wMjPz2fixIlERkZiaWlJ9+7dmTlzJgCurq4cOnSIKVOm0K1bN7Kzs/H09KR79+7oPsbzgBcsWMAXX3zB5MmTiYqKws7OjpYtW9KzZ09VGh0dHYYOHcq3337LRx99pLa9qakp+/fvZ8qUKQwYMIDU1FRq1KhBp06dsLS0LPl2FaZWo55kpSdxbNvPpKfEYudSkz7j5mBpWwOA9JRY0or9SLeyc6Pv2DkcWPsV5w4uxdzKkXb9P8CvYTdVGhfvILqPmMHhLT9yZMssrOzc6fbC96pnOoNyzOWan4suuA6u+wqA2k2focsw5f9vhu5m57KiC/Jti5WNXM26TaR599cq/LOo27QnGemJHNz0C2nJ93BwrcWQ1+ZiZaf8LNKSY0lOiFalt7Z3Z/Brc9nx93RO7l2CuZUjXYd8QO3GRZ9FdkYKm//8iPSUWIxMLHB2r8uId/6ihndRV9fUxBjWzp9ERloSphY21PAOZNR7f6vet7K1bNuZtJRkVi//g6SEeNw8fXj34xk4OCovCpMS4omPLeoNtGvrWvLz81nw23cs+O071fp2HXsy4a0PKz3/j6tJ626kpSaxaeUcUhLjcPXw49X3Z2PnoJwoNDkxloS4aLVtvnxniOr/ETcucvzgFmwdXJj26xbV+rt3bnHt0mle//DXygnkETVu3Z30tCS2rJxDSmIsLu5+vPL+z2pxJ8bFqG3z1btFT2OJuHGREwc3Y+vgyue/KB+tamPvzKv/m8OqRd8w7e1nsbZ1pH3P4XTt9xJVReNW3UlPTWLLqmJxT/0Z28K4UxJjSXhA3LeLxf3Zz0VxT/zfHFYv+obp7xTG3WM4XZ7RbtxHLikfM9i9sS7GhnAnHpbvKyAnryiNpamO2lC8qHhYe7iA4Pq6BNfTITEd1oYUcCeh+DbQr6UupobKxw1GxcOinQWkZBSlqemqQ5/mRXVq/1bK/x+4UMCB0Iq9ggvqOIa83Cz2rfqM7MxknDwa0G/87xgWe356auIdtRsVLt5BdBsxgyNbfuTo1sL6aqR6fVWzUU+yMpI4vr2onuw9tqieLK+ke+Ec2TSTrIxkLGxdadJ5AoHBo5447opi1bgeLXf9qfq77nfK+vf24tWcG112b8OqqEnr7qSnJrN55Vzl+e2hXq6lJMaVKtemv1PUcKcsz5Xn9xdq5Xk41y+d5rUPf6ucQB4ioGlPMtMSObCx2HXL63Oxvn/dkqR+3WLj4M6Q15XXLScKr1u6DfmAOsWuW6xsXRj21h/sWDGduZ/2xcLGiaadRtKqR9GcXukpcaz7413Sku9hZGKBo5s/Q9+cX+rJS5WlUcseZKQmsWP1r6QkxeLiXpMxU34rKs+TYkkqUX9/P/VZ1f8jb4Zy+tAmbOxd+d9Pysdu5mRnsHrB5yTF38XA0AhHVx+GTfyKRi17VF5gotrTUZR3AP9TEhkZibu7Ozt37qRTp04P36CEQ4cO0aZNG65du4avr+9TyKEoj9mb/6NNZg9hafZvmMCw4gW4lO9JAP81KdlV4zF+lS1f8eiNl/8F/9U7AQ9z/NIjTy/0n2BhXj2Pc59naj880X+Q8amKezTgv8mdxAruNvMvYWOe9/BE/0G9g/6d5fm8ndrOQdnGdtZ2DipepR8lu3fvJi0tjfr16xMdHc27776Ll5eX2h35B1mzZg3m5ubUrFmTa9eu8cYbb9C6dWtpDBBCCCGEEEKIf7liU0uISlDpzeG5ubm8//77BAQE0L9/fxwcHNi7dy8GBgYsWbIEc3NzjUtAQAAAqampvPLKK9SuXZtRo0bRtGlT1q1bV9lhVIiIiIgy4zU3NyciIkLbWRRCCCGEEEII8R9V6T0EunXrRrdu3TS+1rdvX5o3b67xtfvj9UeOHMnIkSOfWv4qk6ura6knHpR8XQghhBBCCCGEeBqq1MASCwsLLCwq4cHCVYS+vj5+fn7azoYQQgghhBBCVAnVdQ4fbameM+gIIYQQQgghhBDVnDQICCGEEEIIIYQQ1VCVGjIghBBCCCGEEKL6kiEDlUt6CAghhBBCCCGEENWQNAgIIYQQQgghhBDVkAwZEEIIIYQQQghRJRTIkIFKJT0EhBBCCCGEEEKICvbLL7/g7e2NsbExjRs35sCBAw9Mv2/fPho3boyxsTE+Pj789ttvTz2P0iAghBBCCCGEEEJUoBUrVvDmm2/ywQcfcPr0adq2bUuPHj2IiIjQmP7mzZv07NmTtm3bcvr0ad5//31ef/11Vq1a9VTzKQ0CQgghhBBCCCGqBIVCUWWXR/H9998zevRoxowZQ506dfjhhx9wd3fn119/1Zj+t99+w8PDgx9++IE6deowZswYXnrpJb777ruK+FjLJA0CQgghhBBCCCFEBcnJyeHkyZN07dpVbX3Xrl0JCQnRuM3hw4dLpe/WrRsnTpwgNzf3qeVVJhUUQgghhBBCCCEeIjs7m+zsbLV1RkZGGBkZqa2Li4sjPz8fJycntfVOTk7ExMRo3HdMTIzG9Hl5ecTFxeHi4lIBEZQmPQSEEEIIIYQQQlQJCkXVXaZPn46VlZXaMn369DJj0dHRKRGbotS6h6XXtL4iSQ8BIYQQQgghhBDiIaZOncqkSZPU1pXsHQBgb2+Pnp5eqd4A9+7dK9UL4D5nZ2eN6fX19bGzs3vCnJdNeggIIYQQQgghhBAPYWRkhKWlpdqiqUHA0NCQxo0bs2PHDrX1O3bsoFWrVhr33bJly1Lpt2/fTpMmTTAwMKi4IEqQHgJCCCGEEEIIIaqEggJt56BiTJo0iREjRtCkSRNatmzJ3LlziYiIYMKECYCyt0FUVBSLFy8GYMKECcyePZtJkyYxduxYDh8+zO+//86yZcueaj6lQUAIIYQQQgghhKhAgwcPJj4+ns8++4zo6Gjq1avH5s2b8fT0BCA6OpqIiAhVem9vbzZv3sxbb73Fzz//jKurK7NmzWLgwIFPNZ/SICCEEEIIIYQQQlSwV155hVdeeUXjawsXLiy1Ljg4mFOnTj3lXKmTBgEhhBBCCCGEEFVC4cT6opLIpIJCCCGEEEIIIUQ1JA0CQgghhBBCCCFENSRDBoQQQgghhBBCVAkFMmSgUkkPASGEEEIIIYQQohqSBgEhhBBCCCGEEKIakiEDQjyB2MTq2afJ1i1B21nQikSFu7azoBURcUbazoJWdPK4rO0saMX3W7K1nQWt6DmovrazoBXGp85qOwtakRXUUNtZ0Ar/88e0nQWtuHDHSttZEI9AnjJQuaSHgBBCCCGEEEIIUQ1Jg4AQQgghhBBCCFENyZABIYQQQgghhBBVgqJKP2ZAR9sZqHDSQ0AIIYQQQgghhKiGpEFACCGEEEIIIYSohmTIgBBCCCGEEEKIKqFKjxj4D5IeAkIIIYQQQgghRDUkDQJCCCGEEEIIIUQ1JEMGhBBCCCGEEEJUCQoZMlCppIeAEEIIIYQQQghRDUmDgBBCCCGEEEIIUQ3JkAEhhBBCCCGEEFVCgTxmoFJJDwEhhBBCCCGEEKIakgYBIYQQQgghhBCiGpIhA0IIIYQQQgghqgR5ykDlkh4CQgghhBBCCCFENSQNAkIIIYQQQgghRDUkQwaEEEIIIYQQQlQJMmSgckkPASGEEEIIIYQQohqSBgEhhBBCCCGEEKIakiEDQgghhBBCCCGqhAIZM1CppIeAEEIIIYQQQghRDUmDgBBCCCGEEEIIUQ3JkAEhhBBCCCGEEFWCokDbOahepIfAv1j79u158803K3SfCxcuxNraukL3KYQQQgghhBCi6pEeAkLN4MGD6dmzZ6W937mDSzm953fSU2Kxdfaj7TPvU8O3SZnpo64d48C6r0iIuYaZpSNBHcdQv/UQtTTXzm7jyJZZJMdFYGXvQcueb+LboIvq9fOHlnH+0DJSEqIAsHP2o2m3iXjVafd0gtRAoVBwcudsLh39m+zMFBw9GtC630fYOtd84HY3zm/jxPZZpMRHYGnnQdNub+Jdryi203vmEH5hB0n3bqBnYIyTZyOa95yMtYOP2n4S717n6JbviL5xHBQF2DjVpPPwmZjbuD6VeMuyYeNGVq5aTUJCAp6eHkwYN4569eppTHshNJQ//ljA7chIsrOzcXR0pGeP7gzo31+V5uChQ6xY8Td3oqPJy8ujRg1XBvQfQOdOHSsrpHLZv205O9ctJDkpDhc3X5598V386jTWmDY5MZbVi74j4sZFYmMiaN9jGM++OKVUuoz0FDYs+4kzR3eRkZ6CnWMNBox8m3pBbZ92OGU6tW8Jx3b8TlpyLPYuNek06H3ca5Z9fkdcOcbulV8RF30VcytHmncdQ6N2Q1WvXz69nSNbfyMxNoKC/DxsHD1p2vlF6jV/RpUmOyuNA+t/5OrZnWSkxuPoXpfOg97HxavB0wz1gdZv3Mw/q1eTkJCIp4cHL48bQ/16ARrTXgi9yPwFC7kdGVV4nDvQq3t3BvbvpzH9nn37mf7Nd7Rs0ZxPP/zgaYZRYYY/40SPYFvMzfS4fCODnxdHEXEnu8z0rRpbMri3I65ORujr6RB1N5vVW2PZHZL01POqUCg4tm02oUf+JjsjBSfPBgQP/Ai7h5TV185u4+jWonqoRQ/1egjg/KGlnNrzOxnF6j9Xn6LzozzvfeHwCq6c2khs5EVys9MZ++UxjEwsVa+nJERyfPuvRF47QkZKHGZWjvg37kOTzhPQ0zesoE9Jad/WFexcv5DkxDhc3H0ZNOpd/OoGaUybnBjLqkUzlOVadATtew5j0IvvqqWZ+dForl48UWrbgKC2THx/doXmvTLYtmmCz+TRWAXVw9jVkRMDX+Hu+l3aztZj27l5JZvW/ElyYjw1PHx4fvRb+Ac00pj2+OE97NqyioibV8jNzcXNw5v+Q8bSIKilKs2e7Ws5uGcTkbduAODtW5tBI17Bt5bmsrKySD0mqgNpEBBqTExMMDExqZT3unJ6MwfWTqf9sx/h4h3EhZAVbJg7juHvbcRCww/T5PhI1s8bT0CLQXR9/luib55i78rPMDG3wa9hNwCiw0+zdfEkWvR4HZ/6XbhxfgdbF73FwNeX4OzZEABzKyda9Z6Mlb0HAJeOr2XT7xMZMnk1di4PvsirKGf3zef8gYW0f246VvZenNr1G5vnv8Rz72zB0Mhc4zZ3b51m19JJNOn6Ot4BXbgZuoOdS96i38tLcPRQxhZ94zh1Ww7Dwa0+ioJ8jm+byeb5Yxg0eSMGhqYApMRHsP63Yfg3fZYmXV7D0NiCpHvX0TMwqpTY79u3bz9z5s5j4iuvEFC3Dpu3bOV/H33M3N9+xdHRsVR6Y2Nj+vTpjbe3N8bGxoSGhjLrp9kYGxvTs0cPACwsLBgyZDDubm7oGxhw7Ogxvp85E2trK5o01vyDu7KdPLSVlQu+YfDYD/D1b8TBHf/w85ev8OHMtdg6uJRKn5ebg7mlDd0HjmX3xr807jMvN5efPh+PhaUtYybPwNrOicS4GIxNzJ52OGUKO7GZXf9Mp+uQj6nhG8SZA8v55+exjPloE5a2pc/vpLjbrPx5HA1aD6L3i98Sdf0U25d/iqm5Lf5ByvPbxMyKlj1extbJBz19A66f38Pmxe9jamGHT11lw8fWv/5H7J2r9B71DeZWjoQeW8/yH19kzMebsbB2qtTPAGDv/gP8Nm8+r70ygYA6ddi0dSsffPwp83/9GUdHh1LpjY2N6Ne7V+FxbsSF0Iv8OPsXjI2N6NWju1rau/fuMe/3BdQLqFtZ4TyxQT0dGNDNnhnzbxMVk83Qvk5Me8eHsVMvk5mluY9oano+Kzbc43Z0Nnl5CpoFWjBptDtJKXmcupD2VPN7avd8zuxbSOeh07F28OLEjt9Y99tLPP/eFgyNNZfV0eGn2fbnJJp3fx3f+l24fn4H2xa/xYDXiuqhq4X1X/BAZf0XWlj/DZtSVP+V573zcrLwrN0Wz9ptObzp+1J5Sbx7E4WigA6DPsXK3pOE6Kvs/vtDcnMyadO3dMPi4zpxaCsrF37DkDEf4FM7kIM7VvLztFf4cOaaB5drA8aye+OfGvc57p3vycvLVf2dnpbEtMnPEdSyi8b0VZ2emSkp5y4TuWg1jf/59zVoFHfkwA7++v17Ro1/l5p1GrJn2xq+/exNvpq9AnsH51LpL4eepl5gM54b8QqmZubs37WR77+czCffLsDLxx+AsPMnadm2GzXHNsDA0JBNq//km09eY/pPy7G1K31NUBmkHtMehTxloFLJkIF/uby8PF599VWsra2xs7Pjf//7n+ok8vLy4osvvmDkyJGYm5vj6enJunXriI2NpV+/fpibm1O/fn1OnChqga/MIQNn9i6kbvOBBLQYhK2TL+36v4+5tTPnDy3TmP5CyHIsrF1o1/99bJ18CWgxiLrNBnB6zx9F+9y3GPdarWjSeTy2Tj406Twet1otOLNvkSqNd72OeNUNxsbRGxtHb1r2egsDI1Nibp196jGDspA7f3AxjTpOwLteV2yda9Fh8Ffk5WZx7fTGMrc7f3Axbn6taNRhPNaOPjTqMJ4afi04f7Aotp6j5+PfZAC2zjWxc61N8KDppCXdIS4yVJXm2NYfcPcPpkXPd7CvURdLO3c86rTHxNzuqcZd0uo1a+jWtSs9unfDw8ODCePH4eBgz8ZNmzWm9/P1pUP79nh5euLs5ESnjh1p3DiICxeKYmvYoAGtW7XCw8MDVxcXnnmmH97e3oSGXqyssB5q18bFtOzYn9adBuLs5sOzL07Bxt6ZA9v/1pjezrEGg156j+bBfTEx1fwD5PCeNWSkJTP+3R/wrd0IOwdX/OoE4ebl/zRDeaDjuxbQoNVAGrYZhL2LL52f+wALG2dO79d8fp85sBwLWxc6P/cB9i6+NGwziAatBnBsZ9H57VGrObUCu2Dv4ouNgwdNOr6AYw1/Iq+dBCA3J4vLp7fTof87uNdsio2jJ216v4a1vRun9y2tlLhLWrVmHd27dqZHt654eLjz8rixONjbs2Hzg47zYLw8PXB2cqJzxw40CWrEhRLHcH5+Pl99O4MRw4fi4lz6AryqeqarPcs33CPkZAq3orKZMe82Rka6tG9hXeY25y+lE3IqhdvR2UTH5rBuRzw3b2cRUOvpNngpFArO7l9Mk84T8G3QFTuXWnQe9hV5OVlcOVV2WX12f1E9ZHO/HqrZgrP7i8rqM/vU67+2Jeq/8r53YPALNO40DqfChoaSPOu0pfPQ6Xj4t8HKzh3veh1p1P4lbpzbUUGfktLuDX/SqmN/WncegIubD4NefBdrO2f2P6Bce+6lKbRo3wcTUwuNacwsrLCysVctl84ewdDI+F/bIBC7bT9XPv6BmLUV+9lrw5Z1Swnu3Jf2XZ+hhrs3z4+ZhJ29E7u2rNKY/vkxk+g9YCQ+Nevi7OrBcyNewdnFndPHDqjSvDL5czr3fBZPn1q4unkxeuL7FBQouHj2eGWFVYrUY6K6kAaBf7lFixahr6/P0aNHmTVrFjNnzmT+/Pmq12fOnEnr1q05ffo0vXr1YsSIEYwcOZLnn3+eU6dO4efnx8iRIyu9JS4/L4d7kaF4+LdWW+/h35ro8NMat4kJP1M6fe023LsdSn5+btlp/NsQE35G4z4LCvK5cmoTudkZuHgFPl4wjyg1IZLM1FjcahblU0/fEBefpty9pTl2gLu3zlCjlnpsbrXacPfWmTK3yclKBcDI1AoARUEBty/txdrei83zR7P4s1asmf0c4aE7nyCiR5ebm8vVa9cIClLvXhjUKIiwsLBy7ePa9euEhYVRv359ja8rFApOnzlDZGQk9csYhlDZ8nJzuX0jjDoNW6mtr9OgJTcun3ns/Z47sRfvWg1ZMX8a741pzxeT+rN19TwK8vOfMMePJz8vh5iIULzrtlFb712nNVE3NB/jUTfO4F1H/fj2rtuWmFsXVOd3cQqFgvBLh0m4exP3mk0BKCjIQ1GQX6q3i76BMZHXTz1JSI9FdZw3Uj/OGwc14mLYpXLt49r161wMu0SD+urH8JJlK7CysqJHt64Vlt+nzdnBEFtrA05dSFWty81TcP5SGnX9TMu9n8A65ri5GHHhcvrTyKZKSkIkGamxanWKnr4hNXyblllPQdl11f166H79516iPHf3b01M4X4f973LIycrVVUnVIS83FwiboRRp2FLtfV1GrbkxuWKa2gP2b2Gxq27Y2Rc/mNFVLy83FzCr1+ifmBztfX1Aptz9dK5cu2joKCArMwMzC0sy0yTnZ1Ffn4eZg9I8zRJPSaqExky8C/n7u7OzJkz0dHRwd/fn/PnzzNz5kzGjh0LQM+ePRk/fjwAH330Eb/++itNmzZl0KBBAEyZMoWWLVty9+5dnCvxLlNmeiKKgnxMLdTvSptY2JGREqdxm4zUWEws1AtmUws7CgryyEpLxMzKkYzUuFL7NLWwIz0lVm1d3J3LrPxxKHl52RgYmtLrpdnYOvtVQGQPl5GqzItJydjN7UhLvFPmdplpcZiWuItvam6n2l9JCoWCwxu/wtmrMbbOtZT7SI8nNyeDM3vn0aTbGzTr+TaRlw+w/c/X6D1uEa4+zZ4ktHJLSUmhoKAAmxK9UWxsrElITHzgts+PGElycjL5BQUMHzaMHt27qb2enp7O8BEjyc3NRVdXl1cnvlKq4UFb0lITKSjIx9Ja/Xu0sLYjJUnzcV8e8XcjuXLhGE3b9OKVqb9wL+YWf8+fRkF+Pj0HTXjSbD+yjDTN57eZhT3pyZqP1/SUOMws7NXW3T+/M9MSMbdSdhnNzkzl56ntyM/NQUdXl65DP1ZdgBkZm+Pq04iQzb9g5+yDmaU9Ycc3cif8LLYOnk8h0gcr8zi3tiIxMemB2w4b+aLqOH9+2BC1H/6hFy+ydfsOfv3px6eQ66fHxkp5yZGYkqe2PiklD0e7B49nNzXR5a+ZdTDQ16VAoeDnxVGcDn26wwUyUsooqy3sSH1AWZ2RGleqx5WJeVE9VFb9Z2phR0Zq3BO998Mkx0Vw7uBftK7A4QL3yzULK/W8Wlo9WblWXPjV89yJuMbzL39SIfsTjy81JUljPWZlbUtyYny59rFl7RKyszNp1rpzmWlWLP4ZG1sHAhpWznVJSVKPaVeBPGWgUkmDwL9cixYt0NHRUf3dsmVLZsyYQX7hncEGDYomIHFyUo47Kn5H9f66e/fulbtBIDs7m+xs9QmgcnMNMXicMejF8v7AdaqX1F9TdWwotr5kGk3rbBy9GfL2GrIzU7h+bjs7lr7HwFf/fCqNAldPb+DA6o9Vf3d/8TdlniiRTwUPjF25UYn40RwvwKF1n5MQc5m+E4q6mCkKn+PiGdCRBm1HAWDvWoeYW6cJO7K80hoEVEp9n4oy47nvu2+/ITMzi0uXL/HHgoW4urrQoX171esmJib8MvsnMjMzOXP2LHPnzcfZ2ZmGDarSZDwlv/uHx/0gCoUCC0tbho3/CF09PTx865KcEMvO9Qu10iBwX6nzFcWDj/FSr6lOcNUaQyMzXnx/LTnZGdy6fJjdK7/C2t4dj1rKu1W9R33Dlj/f55ep7dDR1cPZvS51m/bmboT2ho1oLLce8nXP+GY6WVlZhF26zO8LF1PDxYUO7YPJyMjgq+++583XX8XKSjt3zsqrQ0trXnuhhurvj2eGA8XK7ft0ir7psmRmFTDxo6uYGOsSWNecsUNdiY7N4fyliuslcPnkBvb+U1RW9x5TWFaXPC4VGsrvEspTD5U63jXUAY/z3mVJS77L+rlj8WvYnYAWgx5rHw+i6Xx/3LyWFLJ7Da4efnjV1NwjTFS+UodmOeuxw/u3sXr5PN56/zusrG01ptm4ejFHDmzn/S9/xdCwcuc3KknqMVEdSIPAf5yBgYHq//cLNU3rCh6hKW769Ol8+umnaut6DPuInsM/Kfc+TMxs0NHVK9UbIDM1vlRr7H2mFg6l06fFo6urj7GZdWEae9JLpMlIjce0RIutnr4h1oUtrU4e9bkbcYEz+xfT8bnPyh1DeXnW7YCje9GP0fy8nMJ8xWFqWTRRTmZ6/APH8ZuY26vuHqm2SYvHxNy+VNpD6z7n1sXd9JnwF+bWRQ09xqY26OjqY+Oo3vBh4+hLTPjJRwvsCVhaWqKrq0tiid4ASUnJpe6mlnS/4crb24vExCT+WrJUrUFAV1cXV1flZD++vr5ERNxmxd//VIkGAXMLG3R19UrdNUtNTih1d+1RWFrbo6evj66enmqds5s3KUlx5OXmol/snK8MpubK81vTuWhmWfp4BTCztC/VkycjNQFdXX1MzK1V63R0dbFxLDx33esQH32dw1vnqi6kbBw8GDbpL3KyM8jJSsPcypF189/Eyt6tAiMsn/vHecleL0nJDz/O788L4O3lRWJSEn8uXU6H9sFER8dw9+49Pvr0c1Xa+0O+uvd5hj/m/oqrS+lJ3LThyOkULl3PUP1toK+sb2yt9ElMLuolYG2hT1Jy6e60xSkUEH1PWXbeiMjC3cWYwb0cOX/pZoXl1zugA04excrq/MKyOiUOs+JldVp8qTv3xZlaaC6r79dDZdV/GWnxql5gppYOj/XeZUlLvsvaX17A2SuQDoMqtp57YLlm/eRz0+RkZ3Li0DZ6D37lifclnpyFpTW6unqlegOkJCdiWcYP/PuOHNjB/J++4LUp06kXqPkGxKY1f7Fh5UKmfDobD6/KmehZE6nHRHUicwj8yx05cqTU3zVr1kSv2A+DijZ16lSSk5PVli7PTX2kfejpG+LoFsDtKyFq6yOuhODipbl7t7NXIBEl018+hKN7AHp6Bqo0pfZ5+RDOD50fQKH6oV7RDI3MsbL3VC02Tn6YWDgQebUon/l5OUTfOI6TZ9ld2508A4m6qh5b1JVDOHkGqv5WKBQcXPsZNy/soPe4hVjaqlceys+9Hkmx6hfRyXHhlfrIQQMDA2r6+XH6tPo4vNOnT1OnTp1y70ehUJCb+5AfEjw8TWXRNzDA3acOl84dVlt/6dwRfPwDH3u/PrUDiY25rdawd+/OLaxsHCq9MQCUx5mzRwDhYYfU1oeHhVDDR/MxXsMnkPAw9eP75sWDOHvWU53fmijKOHcNjUwxt3IkKz2ZmxcPUrNBp8eI5MncP85PnT6jtv7U6TPUrVO73Pspfpy7u7sx5+ef+PWnH1VLi+bNaNigPr/+9CMO9povVLUhM6uA6Hs5qiXiTjYJSbk0CiiaRE5fT4f6tc25eC3jAXsqTUcHDAwq5u7zfYbG5lg7eKoWWyc/TC0c1OqU/Lwcoq4fL7OegsJ66HLZ9VBZ9d/tKyE4F+7X0tbtsd5bk7Sku6z5ZSQObnXpNGQaOroVe+mnb2CAh08dws6pX48oyzXNkx0+ipMh28nLzaFZu15PvC/x5PQNDPDyrc2Fs8fU1l84c4yatctueD+8fxtzZ33Gy5M/J7BJG41pNq3+k3V//847H/+IT03tPj1F6jHtUigUVXb5L5IeAv9yt2/fZtKkSYwfP55Tp07x008/MWPGjKf6nkZGRhgZqXfhMjB49BMksP0odiyZgqN7PZy9AgkN+Zu0xGjqtRoCQMjGGaQl36Pr8K8BqNdqCOcOLuHA2ukEtHyOmPAzXDy6im4jvivaZ7sRrJo9gpO75uFdrxM3L+wi8sphBr6+RJUmZNP3eNZuh4WNMzlZ6Vw9vZmoa8foO37e43wcj0xHR4f6bUZyZs8cVSPB6T1z0Dcwxq9Rb1W6PSumYGbpSLMek5Xxtx7BhjkjOLN3Hl51OxF+cReR1w7T7+Wi2A6t/YxrZzbS9YWfMTAyU80vYGhsgb6BMQANgkeza+kkXLyb4OrbnNtXDnArbA99xi2ulPjvG9C/P9/OmEHNmjWpU7s2W7Zu5V5sLL169gTgjwULiY+P5523lfGv37ARR0cH3N2UjRyhoRdZtXo1ffv0Ue1z+Yq/qVWzJi4uzuTl5XHs+Al27drNqxMnVmpsD9Kp90gW/fQ+Hr4B+NRqyMGdK0mIi6ZNV2UX3nVLfiQp4S4vvDZNtc3tm8oJ6LKzMkhNSeT2zUvo6xvg4u4LQLuug9m3ZRkrF3xNcI+hxEZHsG3NfNr3GFb5ARZq2ulFNi58F2fPerh6N+LswRWkJEYT2FZ5fu9bO4PUpLv0HvUNAIFth3Bq7xJ2rZxOw9bPcefmac6FrKLvS0Xl2eGtc3D2rIeNvQf5+Tlcv7Cf0CPr6Dr0E1WaGxcPgEKBrZM3ibER7F39DbZO3tRvNaBS479vYP9+fDNjJrVq+lG3dm02bd3GvdhYevdUPirz94WLiI9P4N3JbwGwfuMmHBwc8Cg8zi9cvMjK1Wvp10dZNhgaGuLtpT6O1NxMOdt+yfVV0drtcQzu48idu9lE3c1mcG9HsrML2HskSZVm8lh34hNzWbgyBoDnejlwNTyT6Hs56Ovr0LSBBZ1a2TB7cdRTzauOjg4N243kxE5lWW3t4MmJnXPQNzSmVlBRWb1jqbKsbtVbWVY1bDuC1T8r6yGfep24UVgPDXitqKwODB7FjqXF6r/D6vVfed87PSWWjNQ4kuMiAIiPvoKBkRkW1i4Ym1mTlqxsDLCwcaF1nylkpiWotjWzLP3Yy8fVsc8IFv30AZ4+dfH2b8ihHatIjIumbWG5tnbJjyTF32PU61+qtilerqUlly7X7gvZtYaGTTtgbmFdYfnVBj0zU8z8PFR/m3q7YdmwNjkJyWTdjtZizh5dj37D+O2Hj/H2q4Off332bFtDfFwMnbory9kVi38mMf4eE95S9iY9vH8bc374hOfHTMbPvx5Jicq77oaGxpiaKZ+es3H1YlYtmcMrkz/H3tFFlcbY2BRjE+1MJCn1mKgupEHgX27kyJFkZmbSrFkz9PT0eO211xg3bpy2s1UutRr1JCs9iWPbfiY9JRY7l5r0GTcHS1vlmNP0lFi1Sfas7NzoO3YOB9Z+xbmDSzG3cqRd/w/wa1g0qZyLdxDdR8zg8JYfObJlFlZ27nR74XvVs59BOSxhx5J3SU+JxcjEAjsXf/qOn1dqVuinqWHwGPJyszi49jNyMpNxdG9AzzG/Y2hU9Fi5tKQ7amPXnL2C6DR0Bse3/8iJ7bOwtHWn8/DvcfQoiu3iEeWjcDbOGan2fsGDpuHfRFmReNfrQpv+n3Bmz1xC1n+JtYM3XZ6fhbN346cZcinBwe1ISU1hydJlJCYk4OnlyeeffoqTk7J7bEJiAvdii7reKRQFLFi4iJiYGPT09HBxceGlF0fRs0cPVZqsrCxm//ILcXFxGBoa4u7uxrtvv01wcLtKje1BGrfuTnpaEltWziElMRYXdz9eef9n7ByUPTSSE2NJjItR2+ard59T/T/ixkVOHNyMrYMrn/+yFQAbe2de/d8cVi36hmlvP4u1rSPtew6na7+XKi+wEuo06UlmeiKHNv1Ceso97F1qMWjiXKzslOd3WnIsKQlFF8HW9u48O3Euu1dO5/S+JZhbOdL5uQ9Uz24GyM3OYMeyT0lNikHfwBhbZx96v/gtdZr0VKXJzkxl/9rvSU2KwdjUGv9GXWnX760H3p15mtq3a0tKSipLlq0gISEBT09Pvvj0I5wcC4/zhES147ygQMEfixYTE3MXPT09XF2cGT1qJL16dNdK/ivaP5tjMTTUZeLIGpib6XH5egYffHeDzKyi3i2OdgZqd2GMjXSZOKIG9rYG5OQUcDs6m2/nRrD/WPJTz29QR2VZvW/VZ2RnJuPk0YB+43/H0LiorE5NVC+rXbyD6DZiBke2/MjRrYX10Ej1eqhmo55kZSRxfHtR/dd7bFH9V973vhCynOPbf1b9vXr28wB0GjKNOs0GcPvyIZLjbpEcd4uFnwWrxfbq9+V70kV5NGndnfTUZDavnKss1zzUy7WUxLhS5dr0dwar/h9x4yLHC8u1L37dolp/90441y+d5rUPf6uwvGqLVeN6tNz1p+rvut+9D8Dtxas5N/rRellqW4u2XUhLTWbtit9JSojDzdOXtz+aib2jcrhSUmIc8XF3Vel3b1tDfn4+i+Z8w6I536jWt+nYi/FvKOft2LVlFXl5ucz6+j219+o/ZAwDhmrnulbqMVFd6Cj+q30fRKWavbl6HkbZT2eUQZU3oP51bWdBK66nu2s7C1oREafdSZ20pZPHZW1nQSsmfJH98ET/QT0HVc8J6+p6VM/vOyvoyYcz/Bs5nD/28ET/QRfuVNyjNv9NXuqo7Rw8nv8trLoX2F+MevBTcf6NZA4BIYQQQgghhBCiGpIGASGEEEIIIYQQohqSOQSEEEIIIYQQQlQJioLqORRZW6SHgBBCCCGEEEIIUQ1Jg4AQQgghhBBCCFENyZABIYQQQgghhBBVgjwDr3JJDwEhhBBCCCGEEKIakgYBIYQQQgghhBCiGpIhA0IIIYQQQgghqoQCecpApZIeAkIIIYQQQgghRDUkDQJCCCGEEEIIIUQ1JEMGhBBCCCGEEEJUCQp5zEClkh4CQgghhBBCCCFENSQNAkIIIYQQQgghRDUkQwaEEEIIIYQQQlQJigJt56B6kR4CQgghhBBCCCFENSQNAkIIIYQQQgghRDUkQwaEEEIIIYQQQlQJBfKUgUolPQSEEEIIIYQQQohqSBoEhBBCCCGEEEKIakiGDAghhBBCCCGEqBIUMmSgUkkPASGEEEIIIYQQohqSBgEhhBBCCCGEEKIakiEDQgghhBBCCCGqhIICGTJQmaSHgBBCCCGEEEIIUQ1Jg4AQQgghhBBCCFENyZABIYQQQgghhBBVgjxkoHJJg4CoEHq6OtrOglZkZOZpOwtakaaw0HYWtCI1q3oWmbrVtC9ZssJG21nQigLFHW1nQSt0q2k9difRWNtZ0Ar/88e0nQWtiK3fTNtZ0Ir8LZe1nQUhqqxqepknhBBCCCGEEEJUb9XzdpcQQgghhBBCiCpHIU8ZqFTSQ0AIIYQQQgghhKiGpEFACCGEEEIIIYSohmTIwP/Zu++ops43DuDfALL3kilLAVnirIqiuFdRcW+t8+fGPeqqs1pnh3vWLSpuBERQcCvDgYAoqMjeU0hyf39Eg5GgtiW5mDyfcziH3LxJnjd35rnvIIQQQgghhBBSK/BpmgGpohYChBBCCCGEEEKIHKKEACGEEEIIIYQQIoeoywAhhBBCCCGEkFqBZhmQLmohQAghhBBCCCGEyCFKCBBCCCGEEEIIIXKIugwQQgghhBBCCKkVqMuAdFELAUIIIYQQQgghRA5RQoAQQgghhBBCCJFD1GWAEEIIIYQQQkitQD0GpItaCBBCCCGEEEIIIXKIEgKEEEIIIYQQQogcoi4DhBBCCCGEEEJqBZplQLqohQAhhBBCCCGEECKHKCFACCGEEEIIIYTIIeoyQAghhBBCCCGkVmAY6jIgTdRCgBBCCCGEEEIIkUOUECCEEEIIIYQQQuQQdRkghBBCCCGEEFIr8GmWAamiFgKEEEIIIYQQQogckouEwOjRo9GnT59qn1++fDnc3d2lFg8hhBBCCCGEEMI26jIAYM6cOZg2bRrbYQhZW1tj5syZmDlz5j96Xfv27eHu7o4tW7ZIJC5JiL55BA9D9qK4IBMGJg3QzmcRzO2aVVv+7Yt7uHF2HbLTEqChY4xmHcbBrc0Q4fPZqQm4fXkb0t8+RWFOCjz7LkST9qOrfb97QTtx6+ImuLcbifY+i2uyal/l6aKAJnYcqCoDKdlAwAMeMgu+/BpHCw7auylATxPILQKux/AR91a0WZWWGtDRXQF2phzUUQSyC4ELd3lIy638XGcrDrTVAR4fSM1hcD2Gj3fZEqroFwRcPIvzZ44hNycHlvWsMXrCNDi5NBJb9k5EGAIvn0PSywRUVFTA0soGA4eOgXvTFsIySxdMx7PHUVVe26RZSyxasV5S1fjHbgcfw41L+1CYn4m65vXRa/gC2DiI3+4L8jJx6eh6pLx6iuz0ZLTuMhw/Dl8oUib9bQICT/+BlKSnyMt6h17DFqBNt5HSqMoXPQw9gruBe1GUnwkjswboNHARLBtUv3+/jr+Ha6fWIfNdArR0jfFDl3Fo0m6I2LLP7l/CuT2z0KBRR/Sf/JdwOZ/Hxc0Lv+PpvQsoLsiCpo4RXFv1hUePyeAosJMDv3rpLM6dOYa8nGxY1LPGmPHT0bCa7fzurTBcveyPpJcJ4FZUwKLex+38B5FyxUWFOPb3bty9FYbioiIY1zXFyLFT0KR5K2lU6ZsN72OCHu0NoKmhiOeJJfjz77dITimrtrxHUx0M/rEuzIxVoKQEpKSV43RABq7dyhWWcXHQwIDuxmhgrQ4DvTpYvvUVbj/Kl0Z1EBN+BI8+nLP0TRrAs+/Xz1k3/dch58M5q2mHcXD1EN2mX0Rfxe3LW5Gf9Ro6hvXQuqcv7Nw6C5/n87i4G/A74h5eQHFhFjS0jdCweV+06CLYpnm8Cty5tAVJsTeQn/0GKqqasLRvjdY/zoamTl2JfRcPrh/B7auV+3eXQYtQz7767yI57h6CTlbu3626jkPT9qLfRVlJAa6f3Yy4yCCUFudD19ACnQcuQH3XdgCAh6FH8TD0GPKyUwAARmYN0LbXZOHzbAi+7IdLZ/9Gfm42zOvZYvhYXzg4NxZb9v7t67h25TRev4pHxYf9u+/g8XBrUrnfXg/0R/j1S3ib/BIAYGPniAEjJsPO3lkq9alp+m2awXb2WOg0cYGqmTEe9JuM9PPX2A7rm0XeOIL7wXtRnJ8JQ9MG8Oq/CBb1q9/O3yTcQ+jpdchKTYCmjjGadx4H97aV23lMxEk8veuPrHcJAIC69ZzR1nsWTK3dhGX4PC5uXf4dz+5fQEmBYJ93btkXrbqxdx6TNpplQLrkY6v6Ck1NTRgYGLAdhtyJe3QZYWfXokWX/2HYXH+Y2TWF/47xKMh5J7Z8fvYb+O+cADO7phg21x8tOk9C6JnVSIi6KixTUV4KHUMLtPlxNtS1jb74+WnJMXhy6wQMzRxqtF7fonVDDlo6chDwkI+9gTwUlzEY5qUI5S+k6MwNgH4eCnicxMeuKzw8TuKjn4cCzD7ZdFXrAKM7KYLHB46F8rD9Mg9BkXy8r6gsk1PIIOABHzsv83AwiIf8YmBYe0Woq0iuvuJE3LiGA7t/h8+gkdiwbQ8aurhhzbJ5yMxIF1s+9mk03Bo3w6IV67F+6244uzXGul8W4GVivLDM3MWrsPvvs8K/zX8dhIKCIlq18ZJWtb4q+s4VXDy8Fl69J2L6ytOwdmiK/RsmIi9L/HbPrSiHhpYevHpPhEk98dtqeXkZDIwt0H3gLGjpGEoy/G/27P5lBJ9ci9Y9/oeffvaHRf2mOPH7eORXs3/nZb3Byd8nwKJ+U/z0sz9adZ+EoBOr8fzR1Spl87NTEOL3KyzFXJTdvrobkTeOo8uQpRi//DK8fObibuBePLj+d43X8VtE3LiG/bu3od/AEVi/bS8aOjfC6uVzq93Onz2JRiP3Zli0fAN+3bIHLm6NsW7lArz6ZDuvqKjAyiWzkJGeitkLV2LrziOYOG0e9A2+fMyTtoE9jOHTzQh//v0W05bHIze/Amvn2kFNtfpLj8JiHo5dSMfMlfGY9HMcAm9mY/a4emjqoiUso6qigJdvSvHn32+lUQ2h+EeXcePsWjTr/D8MmeMPc9umOL9zPApzqz9nnd81Aea2TTFkjj+adZqEsDOr8SK6cptOfRWJKwd94disN4bOOwfHZr1x5cBMpCVFC8s8vLYbj28dR7t+SzFiwWV4/DgXj67vRfRNwTbNLS9DxttnaN7lfxgy+wx6/PQHcjOTcHHP/yT2XTy9fxmBJ9aiTc//YfxSf9Rr0BTHto1Hfrb47yI38w2Ob5uAeg2aYvxSf3j0mISrx1cj9mHld8HjluPIpjHIz05Bv0lb8b9VAeg5ciW0dCuTGlp6JujQbw7GLj6NsYtPw9qxJU7+OQWZKQkSq+uX3LkZhMN7N6H3gDFYuflvODi5Y8MvM5GVmSa2fNzTSLi4t8CcpVuwctNBNHRthk2rZyPpZZywTOzjh2jVtisWrdqOZev3wsDIBOuXT0NOdoa0qlWjFDXUURATh6czfmE7lH/s+cPLuO63Fi27/g8jF/rDvH5TnP6z+uvUvKw3OP3XBJjXb4qRC/3xQ9dJCDm1GvGRldv5m/i7cGzWE4NmHMLQOcehrWcKvz9+QmFe5TnhXtBuRN88jo4Dl2LMksvw7DMX94P34lEYO+cxIvtYSQj4+fnB1dUVampqMDAwQKdOnVBcXCxs2r9mzRrUrVsXurq6WLFiBbhcLubOnQt9fX1YWFhg3759Iu/3+PFjdOjQQfh+EyZMQFFRUbWf//DhQxgbG2P16tUAqnYZ+BjHb7/9BlNTUxgYGGDKlCmoqKj8VZWamoqePXtCTU0NNjY2OHr0KKytrb/57vzy5ctRr149qKiowMzMDNOnTwcguMufnJwMX19fcDgccDgcAEB2djaGDBkCCwsLqKurw9XVFceOHROJOSwsDFu3bhW+LikpCQcOHICurq7IZ/v7+wvfFwCio6Ph5eUFLS0taGtro2nTpnjw4ME31eO/eBS6H84t+8Gl1QDom9ihvc9iaOqZICbimNjyMRHHoaVnivY+i6FvYgeXVgPg/IMPHl6v3B5MrNzQtvd8ODTpCUUl5Wo/u/x9MQL+notOg1dBRV2nxuv2NS0cFBD+lI/nbxlk5gPn7vBRRwlwseJU+5ofHBTwMo1BxDMG2YVAxDMGr9IZ/OBQuRu3dlJAQQlw4S4f73KA/GIgKZ1B7ie7w5NkwevyioHMAiDwER+qyhwY61b/2ZJw4exJdOjSE5269hLcNZ0wHQaGRgi87C+2/JgJ09Gn/1DUt28IU3NLDBs1ASZmFnh495awjJaWNvT0DYR/0ZH3oaKiglZt20unUt8g/MoBNGvXDy3a94exuR1+HL4QOgamuHPtuNjy+kbm8B6xCE3b9IaqmpbYMpa2rugxZC4ateoBxTrVb/fSdC94Pxp59IN7mwEwNLVD50GLoa1ngsgw8ft3ZNhxaOubovOgxTA0tYN7mwFo5OGDu4Gix3s+n4fze+eg7Y/ToGtkWeV9Ul5GoYF7R9R3bQ9dQws4Nu0GG6c2SE1+IpF6fs1F/xPo0LknOnb9ERaWgu3c0NAYgZfPii0/ZsJ09O4/TLidDx01EaZmFnhwL0JY5nrQJRQVFmDez2vh6OQGI2MTNHR2g7VtfWlV65v06WqE4+fTEfEwH8kpZfht92uoKCvAq6Veta+JeV6EWw/z8Sb1PVIzyuEflIWXb0rhbK8hLPMgphAHT6ch4qF0WgV8FBm6H84/VJ6zPH0WQ1PXBDHh4rfpJxHHoaVrCs9PzllOP/jgUUjlNh0VdhD17FujeeeJ0K9rh+adJ8LCviWiwg4Ky6QmRcHWpSNsnNtD28ACDdy7oZ5DG6S/EWzTKmpa6Dt5P+wb94BeXVuYWrujfb+fkfHmabXJiv/qbtB+uLfph8ZtBft3l8GC/fthNfv3ow/7d5fBgv27cdsBcPfwwZ1P9u+o8NMoLcnHgMl/wrJ+U+gamKNeg2aoa+koLGPfqAPqu7aDgYkNDExs4NXXF8oq6nj7Mkoi9fyaK+eOol0nb7Tv0gfmljYYPm4WDAzr4tqV02LLDx83C718RsK2gRNMzOph4IjJMDG1ROS9m8Iyk2evRKce/WFlaw8zC2uMnbIIfD6DZ9H3pVWtGpV59Qbil21Bmn8Q26H8Yw+u7Ydrq35w8xgAAxM7dOi/GFp6Joi6KX47jw4X/MDv0H8xDEzs4OYxAK6tfHD/WuV23nPMRjT2HAZjy4YwMLFDl2GrwDB8vI67LSzz7lUU7Nw6ws6lPXQMLODQpBusG7ZBOkvnMSL7pJ4QSE1NxZAhQ/DTTz8hNjYWoaGh8PHxETYNCQkJwbt373Djxg1s2rQJy5cvR69evaCnp4e7d+9i0qRJmDRpEt68eQMAKCkpQbdu3aCnp4f79+/j1KlTCA4OxtSpU8V+fmhoKDp27IgVK1Zg8eLqm4hfv34diYmJuH79Og4ePIgDBw7gwIEDwudHjhyJd+/eITQ0FKdPn8auXbuQkfFt2Vs/Pz9s3rwZO3fuREJCAvz9/eHq6goAOHPmDCwsLPDLL78gNTUVqampAICysjI0bdoUFy9exJMnTzBhwgSMGDECd+/eBQBs3boVrVq1wvjx44Wvs7SserEszrBhw2BhYYH79+/j4cOHWLBgAerUqfNNr/23eNxyZLx5CiuHNiLLrRw8kPoqUuxr0pKiYOXgIVresS0yXj8Bj1ch9jXVuX7qF9g4tUM9h9b/LPAaoKsBaKlx8DKtsjkUjw8kZzCwMKr+R7mFoehrAOBlKgMLw8rX2Jtz8C6HQT8PBczqq4jx3RTR2K7691RQAJrU56CsnEF6rvSaZ1VUVODli3g0atxcZHmjJs0RF/ttJzw+n4+y0hJoaon/kQwAIYGX4OHZEaqqav8p3prC5ZYjJekZGriKbscNXFojOSGKnaAkgMctR9rrp7BxEt2/bZw88DZR/P6d8jIKNk4en5Vvi7Rk0f07/OKfUNfSR6M2A8S+j2X9pkh+fgfZ6a8AAOlvnuPNi4ewc5F+k+LK7byFyHK3xs0R9/zbt/PS0hJoamoLlz24GwF7R2fs2b4J44Z7Y9bkkThz8hB4PF6Nxv9fmBgpw0C3Dh4+KRQuq+AyeBxXBKcGGl94pSh3J01YmqrgSVz1SX5p4HHLkfH2Keo5im7T9Rw9kJokfptOTYpCPUcx56w3ldu0oEybKmU+fU8z26Z4E38HuRmCbToz5TnevXwI64bVb9PvS4sADgfKatrVlvm3eNxypCY/he1n+7etc/X799uXUbB19visfFukJj8Bjyv4LuKjQ2Bh646Ao79g86zW2LmsF8Iv7QCfL3675vN5eHrvEirKS2BhJ76JviRxKyqQlPgcru6i3Xlc3H9AwvOYb3qPyvNY9evp/fsy8HhcaHyhDKl5PG450t88hXVD0e3cuqEH3r2sZp9/GQXrhh6flW+L9OTqr1O55aXg87hQ/eTmlLldU7yOu4OcD+exjLfPkZL4EDYsnMfYwvCZWvsni6Q+hkBqaiq4XC58fHxgZWUFAMIfwwCgr6+Pbdu2QUFBAQ4ODli/fj1KSkqwaNEiAMDChQuxbt06REREYPDgwThy5AhKS0tx6NAhaGgILjL++OMP/Pjjj/j1119Rt25lU7Nz585hxIgR2LlzJ4YMEd8v9SM9PT388ccfUFRUhKOjI3r27Ilr165h/PjxeP78OYKDg3H//n00ayZosrpnzx40aNDgm76D169fw8TEBJ06dUKdOnVQr149tGjRQlh/RUVFaGlpwcTERPgac3NzzJkzR/h42rRpCAgIwKlTp/DDDz9AR0cHysrKUFdXF3ndt8Yzd+5cODoKsvDfWo//orQ4FwyfB3Vt0a4a6lqGKCnMFPua4oIsWDmKNodW1zYAn89FWVEuNHSMv+mz4x5dQsbbZxgy2+/fBf8faX74bVr0WTfa4jJA5wvXyZqqgjKfv0ZTtfKxnibQrAEHd54ziHjGg5k+B12bKIDH4yMmqfIg1sCMA5/WCqijBBSWAoev81Ba/h8r9g8UFuSDz+dBR1f0TqGOrj7ycnO+6T0unD2BsrIytG7bQezzCXHP8Dr5Ff43Y/5/jremlBTmgc/nQeuz7V5LxwDx+VksRVXzSooE+7fGZ/XU0DJEcYH4/buoIAu2WqL7t8aH/bu0KBeaOsZ4++IhYiL88NMS/2o/u2XX8XhfWohdy7pDgaMIPsNDu96+cG7R6z/X65/6uJ3r6olu57p6esh79K3b+XG8/2w7T09/hycxaWjTvjMWLt+AtJQ32LNjM3g8HgYMGVOjdfi39HUElxe5BaIXwbkFFTA2+HIrFnU1BRzd4ow6Sgrg8xn8fugtHj1lNyEgPGdpiTlnVbNNlxRmQf2zbVpdS/ScJSjz+XsaiOwnTTsKtum/11Zu0616+MKhqfhtmlvxHrcu/gaHJr2goqr5b6r7RV/av4vyqzl/52dBQ9z+zeOipCgXWrrGyMt6g6Tnd+Dyw48YPGMXctKTEXD0F/D5XHj+WHmTJ+NtHPavGwxuxXsoq6hjwOQ/YWQm/dYxhQWC47m2ruj3oKOrj/zcbxuU54r/Ebx/X4oWHp2qLXPi0J/Q0zeCc6MW1ZYhNa+0qPrr1OrOY8Xi9vnPzmOfu3FuIzR16sLKsfIGVYvOgn1+38rKfb7tj75o2Ez65zEiH6SeEGjUqBE6duwIV1dXdO3aFV26dEH//v2h9+GCydnZGQqfDJhRt25duLi4CB8rKirCwMBAeDc+NjYWjRo1EiYDAMDDwwN8Ph9xcXHChMDdu3dx8eJFnDp1Cn379v1qnM7OzlBUVBQ+NjU1xePHjwEAcXFxUFJSQpMmTYTP169fX1iHrxkwYAC2bNkCW1tbdOvWDT169MCPP/4IJaXqVwePx8O6detw4sQJpKSk4P3793j//r1Ivf+tWbNmYdy4cfj777/RqVMnDBgwAHZ2dtWW//jZn6ooV0Ed5X/TCf3zu9eMmGWfFv/suY+Djny+vBqFuakIO70afSfvg1Id6XSad7HioGfzym36WNiHux1ikoxfyzt+7XkOgHc5gsEGASAtl4GRDoOmDRQQk1R5lyUpncGuAB7UVYDGdgro56GIfYE8lLyv5o0lhCNufX7DugwPDcbJI/sxf8maKkmFj0ICL6GelQ0aODjVRKg167M6MgxT9buQCZ/V89/u3+DgfVkRzu+bi+4jVkJdU7/at4h9cBlP7p5H77EbYWhWH+lvYhF8ci00dY3h1urrx37J+Hx9i9n2xQgPC8apo/sxb8lake2c4fOhrauLiVPnQlFREXb1HZCTk4XzZ46xlhDwaqWHGaMthI+XbHr5IVjRchxwvnogKy3jY/KSOKiqKqKxkyYmDjFHWmY5Yp6zmxQQqLqNfnldVt3XBYs5Xyzz6XsmRF5G3MPz6DZiI/RN6iMzJRY3z66Fpo4xGrYQ3aZ5vAoEHPQFwzBoP2D5N9bp36la7y9/F+LKf7qc4TPQ0DZAz5EroaCgCFMrFxTmZeBO4F6RhICBiQ3GL/VHWUkBnj8KxPl98zFi7mFWkgKC+EUff+vx/PaNqzhzfDd8F/0GHV3xx7SLZw7hzs1ALFq9Hcr/6hqL/FccMdep/2g7/7DPV30fwVgBzx9cwqCZh0SuSeMeXkbsvfPoNXojDEzrI+NtLK6fXgsNHWO4tGTrPEZkmdS7DCgqKiIoKAhXrlyBk5MTfv/9dzg4OODVK0GzmM+bqnM4HLHL+HzBD54vHXg/XW5nZwdHR0fs27cP5eVfvxX6tc8U51tHxLS0tERcXBz+/PNPqKmpYfLkyfD09BQZo+BzGzduxObNmzFv3jyEhIQgKioKXbt2/WpdFBQUqsT1+ecsX74cT58+Rc+ePRESEgInJyecPSu+fysArF27Fjo6OiJ/V0+u/YaaV1LT0ANHQRElBaJ3RUsKs6tkVz/S0K56J6akMAcKCkpQ1dD9ps9Nf/MUJUXZOPqbD7b6OmGrrxNSXtxD1I2/sdXXqdqmif9FfIrgx/fHv9IPP7o1P2vFriGmBcCnij5rDfDxNZ+2NCgsA7IKRNd3VgEDbXXR11XwBLMUpGQDF+/xwWfwxa4FNU1LWwcKCopVWgPk5+dCt5of+B9F3LiGv7b9ilkLVsCtsfiRft+XlSHiRgg6dq1d2XR1LV0oKCii8LPWAEUFOdDUlp2BTdU1Bft3sZj9W0Nb/P6tqV31rkvxh/1bTVMXeZlvkJ+dglN//g/r/ueEdf9zwuM7/kiICcG6/zkhN/M1ACDk9Hq06joBTs17wtjcAa4t+6BFx1G4fWWnZCr7BdVu53m51SayPoq4cQ3bt62D74IVcHMX3c519Q1gZmYpkrS2sLRGXm7OF88jknQnMh+Tl8QJ/wqKBMdSPR3Rc6muthJyC7hffC+GAd5llOPl61KcDsjEzQd5GNTr21qASYrwnFX42TZdlA21as5Z4lq8lRaJnrMEZbKqlPn0PBh+fj2adpwA+yY9YWjmgIbN+8C9/Sg8CBbdpnm8Clw5MBMFOW/R53/7JNI6AKjcv4s+O44Vf2H/1tAxRNHn+3dBDhQUlaD24bvQ1DWCfl1rKChUbteGprYoys8Ej1t5raOopAx9YyuYWbuig89sGFs64t61QzVUu2+npS04nn/eGqAgPxfa1fzA/+jOzSDs+X0Vps1bAxd38Xf+L509jAt+BzBv+TbUs5Z8y00iSu0L57Fqr1PFtB4QXqdq6oosvx+8F3ev7kT/qXthZO4o8lzY2fVo0WUCHJv1hJG5A5x/6IOmXqNwL1D65zG2sN0tgI0uA7m5uRgxYoTwt9WIESOQl5dXbfmKigrMnz8frq6u0NDQgJmZmbBL+z/FyqCCHA4HHh4eWLFiBSIjI6GsrPzFH6Bf4uTkhKioKBQXFwuXRUREQEFBAfb29sJlhoaGCAkJQWJiIgYNGvSfLpocHR3B5XIRGVnZh+jFixdfXGmfU1NTg7e3N7Zt24bQ0FDcvn1b2AJBWVm5Sl/Qmzdvonfv3hg+fDgaNWoEW1tbJCSIjqor7nVGRkYoLCwU+X6ioqKqxGNvbw9fX18EBgbCx8cH+/fvrzb2hQsXIj8/X+Sv68CF1ZYXR1FJGcaWzngdFyGy/HXcLZjaiO8LaGLtjtdxt0SWJceFw7ieCxQVv23Mg3r2LTF8/gUMm+sv/Ktr6QLHpj9i2Fx/kQuRmlLOFfz4/viXWQAUljKwMan8Aa6gAFgZc/A2s/oDzdss0dcAgK0JB2+zKl/zNpOBgZZoGX0tDvKL8UUcAIoK0ksI1KlTB7b17RETKTp4ZUzkAzg0dKnmVYKWAX9uXouZc5eiaYvqp1e7dfM6Kioq4OnVpcZirglKSsowt3bCiyei2/GLJ7dg1cCdnaAkQFFJGSb1nPEqVnT/fhV7q9q+vua27ngVK/q9vHoWDhMrwf5tYGKLcUsvYOzP/sK/Bm4dYGX/A8b+7A9tPUFXqYryMnA+25Y5CoqsTGEk3M6jRAcDi4m6DwfHL2znYcH4c8sazJizFE2bVx3nxLGhK9JSU4RJagB4l/IGevoGEh//pTqlZXy8yygX/iWnlCE7rwJNPpkdQEmRA1cHTTxL+MoB6TMcAHWU2J0USVFJGcYW1ZyzrMVv06Zizlmvn4fD2LLynCUoE1GlzKfvyS0vq3Ljg8MR3aY/JgPyMpPRZ/IBqGl8W4vFf0NRSRmmVmL272fV798Wtu549Uz0u3j5LBymVi5QVBJ8FxZ2TZCb8RrMJ9t1TnoSNHWMvjhIMBgGvAop9nn7QKlOHVjbOeJJ9D2R5U+i7qGBo1s1rxK0DNi17Rf8b/ZKuDdrI7bMpTN/49zJvZi7bCtsG9TCVm5yQFFJGXUtnZH0XHQ7T3p+C2a21ezztu5Iei66nSfFhqOuleh16r2gPbh95S/0m7IHJlaun78NKiqq7vMKLJ3HiPQMHToUUVFRCAgIQEBAAKKiojBixIhqy5eUlODRo0dYsmQJHj16hDNnziA+Ph7e3t7/+LOlfoa9e/cu1qxZgwcPHuD169c4c+YMMjMz0bBhw3/1fsOGDYOqqipGjRqFJ0+e4Pr165g2bRpGjBghMn4AABgbGyMkJATPnz/HkCFDwOV++S5FdRwdHdGpUydMmDAB9+7dQ2RkJCZMmAA1NbVvaiZ24MAB7N27F0+ePMHLly/x999/Q01NTTimgrW1NW7cuIGUlBRkZQkyk/Xr10dQUBBu3bqF2NhYTJw4EWlpotPaWFtb4+7du0hKSkJWVhb4fD5++OEHqKurY9GiRXjx4gWOHj0qMjhiaWkppk6ditDQUCQnJyMiIgL379//4vpQUVGBtra2yN+/6S7QpP0YPLnjh6d3/JCTloiwM2tQmJsKN4/BAIDwCxtx9fA8YXk3j8EoyH2HsLNrkZOWiKd3/PD0zmk09fpJWEYw8FMsMt7Ggs8tR3F+OjLexiIvMxkAoKyqCUMze5E/JRV1qGrowtDMHtJyL46PNk4KcLDgwEgH6P2DAiq4ghkAPurdUgEdGlXuovfi+bAz4aB1Qw4MtARTF9qYcHA3rvLi6U4cH+aGgIcTB3qagu4KTepz8CBBUKaOIuDlpgBzA0BHHTDRA3q1UIC2OhD7uvJ9pOHHvgNxLfAirgVewtvXSdi/63dkZWagS4/eAIAjB3Zi28bVwvLhocH4fdNqjBw7BQ0cnJCbk43cnGwUF1dtRnwt6BKat2oDLW3pzyDxNW26j8b9UD/cDzuNjJREXDi8DnnZqfih4yAAQMCJTTixY4HIa94lx+JdcizK35eguCAH75JjkZ7yQvg8l1suLMPjVqAgNx3vkmORlZ4s1bp9qkWnMYgO90N0hB+yUhMRfHINCnJS0dhTsH+Hnt2IC/sr9+/G7QajIPsdgk+uRVZqIqIj/BAdcRo/dBHs30p1VGBkbi/yp6quDWVVDRiZ2wt/MDRw88Ktyzvw4nEo8rLeIi4yCPeC98PBvfo+upLUq88gXAu8iJDAS3j7JgkHdm/7sJ33AQAcObADv29cJSwfHhaMPzatwqixU9HA0Rm5udnIzRXdzrv06IPCwnzs37UV71Je4+H9Wzh76m907ekj7ep9kf/VTAzuVRetm+rAylwVc8bXw/tyPq7fyRWWmTuhHsYMMBU+HtTLGE2cNWFipAxLUxX4dDVCJw99hNyubGWhqqIA23pqsK0naGZlYqQM23pqMNKXbDKkcfsxH847gnPWjbNrUJSbCtcP56yICxsR+Mk5y8VjMApz3+HGp+esu6fRpEPlOcu93Ui8jovAg+BdyElPxIPgXXgTfxvu7UYJy9g4e+F+0A68ehqKguy3SIwJQmTofti5CrZpPo+Ly/unI+PNE3Qd8RsYPg/FBZkoLhC9s16Tfug8BpE3/RAVLti/A0+sQX5OKpq0E3wXIWc24tzeyu+iSbvByM9+h6ATgv07KtwPUeGn0bJL5XfRtP0QlBbl4urx1chOe4WEmFBEXN6JZl7DhGVCzmzC6/gHyMt6i4y3cbh+djOS4+7BpeWPEqnn13TvPRShQecQFnweKW9e4fCeTcjOSkPHboJ98cShP7Fj8zJh+ds3rmLnluUYOmYG6ju4IC83C3m5WSj5ZP++eOYQ/I7swPhpS2BobCosU1ZaIvX61QRFDXVoN3KEdiPBXXB1GwtoN3KEqqXpV17JvmYdx+DxLT88vuWH7LREXPdbg8KcVDRqI9jOb5zbiMsHK7fzRm0GoyDnHa6fXovstETBa2+fRvOOldv5vaDdiLi4Bd2Gr4GOvjmK8zNRnJ+J8rLKRKmdixfuXN2BxCehyM9+i4SoIDwI2Y/6jdg5jxHJi42NRUBAAPbs2YNWrVqhVatW2L17Ny5evIi4uDixr9HR0UFQUBAGDhwIBwcHtGzZEr///jsePnyI169f/6PPl/oYAtra2rhx4wa2bNmCgoICWFlZYePGjejevTtOnDjxj99PXV0dV69exYwZM9C8eXOoq6ujX79+2LRpk9jyJiYmCAkJQfv27TFs2DAcPXr0X9Xj0KFDGDt2LDw9PWFiYoK1a9fi6dOnUFVV/eprdXV1sW7dOsyaNQs8Hg+urq64cOECDAwETYZ/+eUXTJw4EXZ2dnj//j0YhsGSJUvw6tUrdO3aFerq6pgwYQL69OmD/PzKaZfmzJmDUaNGwcnJCaWlpXj16hWsra1x+PBhzJ07F7t27UKnTp2wfPlyTJgwAYCgC0d2djZGjhyJ9PR0GBoawsfHBytWrPhX38s/4dCkB8qKc3Hn6l8oyc+Agak9ek/cBW19cwBAcUEmCnJTheV1DCzRZ+IuhJ1di5ibR6ChY4z2PovRwL2rsExRfgaObugjfPwwZB8ehuyDef0WGDCt9szfeiuWgZIig+7NFKCmLGi6fySUh/JPclTa6hyRbPDbLODMLT7auymgvaugtcGZCD7efdJaMTUHOHWTjw6NFODpAuQVCaYV/Jho4DOAoTbgZqMIdRWg9D3wLofBgWAeMgukVXsBD8+OKCwogN+xg8jNyUY9KxssWvErjIwFd3pzc7KRlVk5L29gwHnweDzs2b4Ze7ZvFi5v37Ebps5aJHz8LuUNnj+NwZJVG6VXmX+gUcvuKCnKwzX/7SjMy4SJRQOMnrMTeoaC7b4gLwt52akir9n2cz/h/ymvniLq9iXoGpphweZgwWtyM0XK3Li8Hzcu74eNY3NMXHwQbHBq3gOlxbmIuPQXivIzYGRmj4FTd0HHQFDPovxMFORU1lPX0BIDp+1C8Mm1eBR2BJo6xug8aDEcm3St7iPE6jz4Z9w4txVXj65ASWE2NHWM0bjtILTpNaVG6/etPDw7oqiwAH7HDyA3JxuWVjZYtHx95XaeK7qdB10592E734Q92yvPY+06dsNUX8HMOIZGdfHzL5twcM/vmDN1DPQNDNHDuz969xuG2uTk5QwoKytg6kgLaKkr4vnLEizckIjSssrko5G+Mj65IQxVFQVMHWkJQ/06KC/n403qe6zfmYywe3nCMvY26tiwsLK/+KShgm0q8GYONu75ZxdB/4R9kx4oK8nFvat/obhAcM7y/uScVVKQicLPzlneE3bhpv9axIQLtul2PotRv1HlNm1q0wTdRm7CnctbcOfKNugYWKLbqM0wsW4kLNOu38+4c3krQv1WoKQoGxraxnBtPQgtugq26aK8NLx6EgIAOLaht0jMPlMOwaKB6Cj4NcG5eQ+UFuXi5sXK/Xvw9F3Q/bh/52Ui/5P9W8/IEoOn70LQybV4ECr4LroOXoyGTSu/Cx19Uwz13YegE2uxa4U3tPTqonnHkWjdfbywTHFBFs7tm4ei/AyoqGnB2MIBQ2buge1nM5RIS8u2nVFUmA//E3uRl5MFCys7zFm6GYbGgh+7eblZyM6q3L9Drp4Fj8fDwZ3rcXDneuHyNh16YuIMQeLg2pXT4HIrsO1X0cRw38Hj4DNkghRqVbN0mrqg1bXK6y+n3wTn6zeHziBm7D9rXSptjk0F57HbVwT7vKGpPXwmV57HivNFr1N1DS3Rb/IuXD+9FlE3BNepHQYshn3jyu086sYx8LgVOL9nushnteoxFR49pwEAOg78GeEXtyL4+AqUFmVDQ8cYjdoMQqvu7JzH2MCXs9YQt2/fho6ODn74ofJ43bJlS+jo6ODWrVtwcHD4pvfJz88Hh8OpMuX813AYan9SI96+fQtLS0sEBwejY8eObIcjddsD2I6AHVm5/66VyfeuT/NvG0FZ1rzIEd9vUNbll9R8V5rvQRPzb5tKVtbMXSWZuetrO+/B7myHwArt/z428XfJwTj/64VkUKarfM5W8O6K+Lussm78d9qoYPTy9K8XYsnOhbpVBldXUVGBisq/H/hzzZo1OHDgAOLj40WW29vbY8yYMVi48OvJs7KyMrRp0waOjo44fPjwP/p8djvlfcdCQkJw/vx5vHr1Crdu3cLgwYNhbW0NT09PtkMjhBBCCCGEEFLDxA2uvnat+MHVly9fDg6H88W/Bw8E42mJ63b+rbOWVFRUYPDgweDz+fjrr7/+cZ2k3mVAVlRUVGDRokV4+fIltLS00Lp1axw5cgR16tTBkSNHMHHiRLGvs7KywtOnT6UcLSGEEEIIIYTUfpIczf+/Wrh4IWbNmiWyrLrWAVOnTsXgwYO/+H7W1taIiYlBenrVVhGZmZlVxsT7XEVFBQYOHIhXr14hJCQE2traX6lBVZQQ+Je6du2Krl3F92319vYW6QPyKbZGgCaEEEIIIYQQ8u/9k+4BhoaGMDT8enfTVq1aIT8/H/fu3UOLFoJuPXfv3kV+fj5at64629BHH5MBCQkJuH79unA8un+KEgISoKWlBS0tra8XJIQQQgghhBAitxo2bIhu3bph/Pjx2LlzJwBgwoQJ6NWrl8iAgo6Ojli7di369u0LLpeL/v3749GjR7h48SJ4PJ5wBjp9fX0oK39hutbPUEKAEEIIIYQQQkitII9j3h85cgTTp09Hly5dAAhanP/xxx8iZeLi4oQzzL19+xbnz58HALi7u4uUu379Otq3b//Nn00JAUIIIYQQQgghhCX6+vpfnR3g00SJtbV1jSVOaJYBQgghhBBCCCFEDlELAUIIIYQQQgghtQK/Fs8yIIuohQAhhBBCCCGEECKHKCFACCGEEEIIIYTIIeoyQAghhBBCCCGkVmCoy4BUUQsBQgghhBBCCCFEDlFCgBBCCCGEEEIIkUPUZYAQQgghhBBCSK3AMNRlQJqohQAhhBBCCCGEECKHKCFACCGEEEIIIYTIIeoyQAghhBBCCCGkVmD4fLZDkCvUQoAQQgghhBBCCJFDlBAghBBCCCGEEELkEHUZIIQQQgghhBBSK/D5NMuANFELAUIIIYQQQgghRA5RQoAQQgghhBBCCJFD1GWAEEIIIYQQQkitwDDUZUCaqIUAIYQQQgghhBAihyghQAghhBBCCCGEyCHqMkAIIYQQQgghpFZgaJYBqaIWAoQQQgghhBBCiByiFgKkRshrIk9fVz53IS6jyHYIrKijJJ8burF2BdshsCIx14DtEFjR0duQ7RBYocBhOwJ26Gly2Q6BFU/e6bAdAit4V+LYDoEVZt0d2A6BHRXyub7JPyOfv2YIIYQQQgghhNQ61GVAuqjLACGEEEIIIYQQIocoIUAIIYQQQgghhMgh6jJACCGEEEIIIaRW4DN8tkOQK9RCgBBCCCGEEEIIkUOUECCEEEIIIYQQQuQQdRkghBBCCCGEEFIr0CwD0kUtBAghhBBCCCGEEDlECQFCCCGEEEIIIUQOUZcBQgghhBBCCCG1AnUZkC5qIUAIIYQQQgghhMghSggQQgghhBBCCCFyiLoMEEIIIYQQQgipFRiGugxIE7UQIIQQQgghhBBC5BAlBAghhBBCCCGEEDlEXQYIIYQQQgghhNQKfD6f7RDkCrUQIIQQQgghhBBC5BAlBAghhBBCCCGEEDlEXQYIIYQQQgghhNQKDJ9mGZAmaiFACCGEEEIIIYTIIUoIEEIIIYQQQgghcoi6DBBCCCGEEEIIqRUYhmYZkCZqIUAIIYQQQgghhMghSggQQgghhBBCCCFyiBICMi4pKQkcDgdRUVFsh0IIIYQQQgghX8TwmVr7J4toDIFaaPTo0cjLy4O/vz/bodSomPAjeBSyF8UFmdA3aQDPvotgbtes2vJvX9zDTf91yElLgIaOMZp2GAdXjyEiZV5EX8Xty1uRn/UaOob10LqnL+zcOouUKcpLR8SFDUiOvQluRRl0jazRachqGFu6VPnMkBNL8eT2CbTtsxCN24/+buvN53FxN+B3xD28gOLCLGhoG6Fh875o0WUyOAqCPGBJYRYizv+G13HheF9aCDO7Zmjfbwl0jaxrpN7fIvDSGVw4cxR5OdmwqGeDkeOno6GLu9iy926FIujyWSS9fAFuRTks6tmg/9CxaNT0B2GZ0OBL2LFlTZXXHjoTAmVlFUlV4x+LCDyG0Iv7UZCXCROL+ug9cgFsHZuKLVuQm4nzh9fj7atnyEpLRpuuw9Bn1EKRMjH3gnDNfzey0l+Dz+PC0KQe2vUcjWZtvaVRnW8WHngc1z+pd5+R82FXTb3zczNx/vAGvPlQ77Zdh6HvqAUiZWLuBSHIfzey0t8I692+5yg0r2X1vh18DDcu7UNhfibqmtdHr+ELYOMg/hhQkJeJS0fXI+XVU2SnJ6N1l+H4cbjo+k5/m4DA038gJekp8rLeodewBWjTbaQ0qvJFDMMg8tqfiLt/Eu9LC2Bk6YbW3kugV7fBF1/36kkgHgVtQ0HOa2jr10PTLjNg7Vx5PIu9cwyx946jKDcFAKBrXB+NO0yGpYMnAIDPq8CDoK14G3cDhTlvoayqCbP6rdCs62xoaBtLrsIfRN88gocfjvEGJg3Qzufrx/gbZ9ch+8MxvlmHcXBrU3mMz05NwO3L25D+9ikKc1Lg2Xchmnx2Prp95XfcDfhDZJm6liEmrIqo0br9E/JyXHsUdgT3gvaiKD8ThqYN0HHAIlg2qH59v46/hxC/dchKTYCmjjF+6DIOjT0r13dcZCDuBOxAbqagnnrGVmjeaQxcfugjLPO+rAg3z29FQnQwSgqzYWzphE4DFsHU2k2SVRUReeMI7gfvRfGHenv1XwSL+tXX+03CPYSerqx3887j4N62st4xESfx9K4/st4lAADq1nNGW+9ZInXi87i4dfl3PLt/ASUFgmsZ55Z90apb5bVMbaXfphlsZ4+FThMXqJoZ40G/yUg/f43tsAgRixIC37GKigrUqVOH7TC+Sfyjy7hxdi3a918GM5smeHLrOM7vHI/hCy9BS8+sSvn87Dc4v2sCXFoOQNfhG/Du1SOE+q2AmqY+6jfqCgBIfRWJKwd90bL7DNi5dUJiTDCuHJiJ/tOPwsS6EQCgrCQfp7YOgUWDH+A9cTfUNfWRn/0GymraVT4zMSYYacnR0NCpuQtItur98NpuPL51HJ2H/goDk/pIf/MEwccWQkVNC+7tRoFhGFzcMwUKikroNe4vKKtoIjL0AM7+NQbDF1xCHRX1GvsOqnPrRjAO7t6Ksf+bDQcnNwRf8ce65XOw8a/DMDQ2qVI+9kkUXN1bYPDISVDX0ERo8CWsXzkPqzbuho2dvbCcmroGNu88JvLa2pQMiLx9BecOrYPPT0tg49AYt4NPYve6iZj323noGVbdJrjccmhq66NTnwkIu3xI7Huqa+qgU98JMDazgaJSHTx7FIYTO36GprY+HBu1kXSVvknk7SvwP7QO/X/6GTYOjXEr+BR2rZuEBb+dh56haZXyPG45NLT10LnPeIRd/lvse6pr6qBz3wmo+6HeTx+F4fiOJdDSNoBjIw9JV+mbRN+5gouH16L36KWwbtAYd6+fxP4NEzFr3QXoilvfFeXQ0NKDV++JCA84KPY9y8vLYGBsAbcWXXHxyDpJV+GbxdzYgycRB+DZbw20Da0RdX0HAvaNRb9ZV6CsoiH2NemvI3H9+Cw07TQdVk6dkPwsGCHHZqHXxMMwthQczzR0TNC86yxoG9QDACQ8Oofgw1PRZ+pp6NVtAG5FGbLfPYO71/+gb+qI8tJ83Lm0FsF/T0bvKX4SrXPco8sIO7sWHQYIjvExt47Df8d4jFh4Cdr64o/x/jsnwKXVAHQbITjGh5wSHOMbuAuO8RXlpdAxtECDxt0QdnZttZ9tYNIAPlP2Cx9zFBRrvoLfSF6Oa7EPLuPaqbXoMngZzO2aIOrmcZz6czzGLRW/vvOy3sDvzwlw8xiAXmM2ICXxEQKPr4C6pj4cmgjWt5qGDlp1/x/069pCUakOEh9fx+VDi6CuZQBbp7YAgIDDPyPzXQJ6jV4PTR1jPL13Hse3jsG4ZZehpVtX4vV+/vAyrvutRadBgnpHhx/H6T/HY8yS6ut9+i9BvXuMFtQ7+ISg3vaNBfV+E38Xjs16wtymCRTrKON+0B74/fETRv98SVine0G7EX3zOLqN/BWGpvWRlvwEAYcF1zJNvUZJvN7/haKGOgpi4vD24Bk0PfXH119ACItqd3pNxvn5+cHV1RVqamowMDBAp06dMHfuXBw8eBDnzp0Dh8MBh8NBaGiosOn/yZMn0b59e6iqquLw4cPg8/n45ZdfYGFhARUVFbi7uyMgIKDaz+Tz+Rg/fjzs7e2RnJwMALhw4QKaNm0KVVVV2NraYsWKFeByuTVa18jQ/XD+oR9cWg2AvokdPH0WQ1PXBDHhx8SWfxJxHFq6pvD0WQx9Ezu4tBoApx988Chkn7BMVNhB1LNvjeadJ0K/rh2ad54IC/uWiAqrvIh+eG03tPRM0HnoWphYuUHbwAKW9q2ga1hP5POK8tIRevoXdB3xGxQUai7Jwla9U5OiYOvSETbO7aFtYIEG7t1Qz6EN0t88AQDkZSYhLTkKXgOWo249N+jVtUX7ActQ8b4EcY8u1Vj9v+SS/wl4de6FDl29YW5pjVETZsLA0BhBl8+KLT9qwkx49x8GO/uGMDW3xJBRk2BqZoFH98JFynE4HOjqGYj81SY3Lh1EC69+aNmhP+qa26HPqIXQNTDFraATYsvrG5mjz6iFaObZG2rqWmLL1HdqAdfmnVDX3A6GdevBs/sImNazx6u4R5Ksyj8SeukQfvDyEda776gF0DUwQUTQcbHl9Y3M4TNqIZp79oaquqbYMvWdWsDtk3q3+1Dvl7Wo3uFXDqBZu35o0b4/jM3t8OPwhdAxMMWda9XX23vEIjRt0xuqauLXt6WtK3oMmYtGrXpAsY6yJMP/ZgzD4OmtQ2jUfiKsXbpA38Qe7QasA7eiDC+jLlb7uqcRh2BevzUatZ8AXWNbNGo/AWZ2LfE0ovJHYr2GXrB0aAcdQxvoGNqgWZeZUFJWR8abaACAsqoWuv+0D7Zu3aFrZAPjeu5o9ePPyEp5iqK8dxKt96PQ/XBuWXmMb++zGJp6JoiJEH+Mj4k4Di09U7T/5Bjv/IMPHl6vPMabWLmhbe/5cGjSE4pK1a9fjqIiNLSNhH/qmvo1Xr9vJS/HtfvX9sOtdT80ajMAhqZ26DRwMbT0TBB5Q/z6jrp5HFr6pug0cDEMTe3QqM0AuLX2wb3gyvVdz/4H2Lt3hqGpHfSM6qFZh1EwNnfA2xcPAQAV5WWIiwyEV9+5sGzQHHrGVmjTaxp0DS0QGXZUKvV+cG0/XFv1g5vHABiY2KFDf0G9o26Kr3d0+HFo65miQ//FMDCxg5vHALi28sH9a5X17jlmIxp7DoOxZUMYmNihy7BVYBg+XsfdFpZ59yoKdm4dYefSHjoGFnBo0g3WDdsgPfmJxOv8X2VevYH4ZVuQ5h/EdijfJba7BchblwFKCLAkNTUVQ4YMwU8//YTY2FiEhobCx8cHy5Ytw8CBA9GtWzekpqYiNTUVrVu3Fr5u/vz5mD59OmJjY9G1a1ds3boVGzduxG+//YaYmBh07doV3t7eSEhIqPKZ5eXlGDhwIB48eIDw8HBYWVnh6tWrGD58OKZPn45nz55h586dOHDgAFavXl1jdeVxy5Hx9inqOYpm9Os5eiA1KVL895MUhXqOonf4rBzbIuPNE/B4FZ+UaVOlzKfv+fJJCIwtXXB5/3Ts/rkVjm7ogye3T4q8huHzEXhkLpp2GAsD0y83bf0n2Ky3mW1TvIm/g9yMVwCAzJTnePfyIawbthPGBgCKdSrvnCsoKEJBqQ5SXz78N9X9R7gVFXj1Ig5ujVuILHdr3ALxz7/tRM/n81FaWgoNTdHWHmWlpZg6xgeTR/XBryvm4lVifI3F/V9xueV4++oZHNxaiyx3cGuNpPioGvkMhmEQ/+QOMlOTYOtYfXNOaeJyK75Q7+ga+YxP611dNwRp43LLkZL0DA1cRffpBi6tkZwQxU5QElKY+xalhVkwb1BZV0UlZZjYNEf6a/HHOwDIeB0N8/qi24VFA49qX8Pn85AYfQnc8hIYW7pX+77lZYUAhwNl1aqtwWoKj1uOjDdPYeXw2fHYwQOpr8THn5YUBSsHMcf415XH+G+Vl5mM3UvaYN+KDrh8wBf5WW/+WQVqiLwc13jccqS9fgobJ9H1bdPQAykvxa/vlJdRsGkour5tnNoiLVn8+mYYBknPbyMn/RUsGzQHAPD5XDB8nsj5GgCU6qjibaLkkyM8bjnS3zyFdUPRels39MC7auqd+jIK1p/V27phW6RXU28A4JaXgs/jQlVdR7jM3K4pXsfdQU664Fom4+1zpCQ+hI1Lu/9SJULIZ6jLAEtSU1PB5XLh4+MDKysrAICrqysAQE1NDe/fv4eJSdVm0zNnzoSPj4/w8W+//Yb58+dj8ODBAIBff/0V169fx5YtW/Dnn38KyxUVFaFnz54oLS1FaGgodHQEB9zVq1djwYIFGDVK0PTK1tYWK1euxLx587Bs2bIaqWtpcS4YPg/qWqJ3atW1DFFSkCn2NSWFWVDXMvysvAH4fC7KinKhoWP8oczn72mA4k/esyD7DR5HHEPj9mPQrPMkpCfHIOzMKigqKqNhiz4AgAfXdoOjoIRGnjXbB5fNejftOB7vSwvx99ruUOAogs/w0KqHLxya9gIA6NW1hZaeOW5d3IgOA39BHWU1RIYeQElBpsj7SEpBQR74fB509ETvaOno6SHvUfY3vcels8fwvqwUrdp2FC4zt7DC/3wXo56VLUpKinHl/CksmzcJv247CFNzyxqtw79R/KHemjqi609TxwCF+Vn/6b1LSwrxy2QvcLkVUFBQgM+YJVUu0NlSXJALPp8Hrc/qraVjgIIaqPfyyR2E9e4/5udaU++SQsH61tKuWu/4/1jv2qa0UFAfNU3R45eapsEX79KXFmWJeY2h8P0+ykmLx4UdQ8DjvkcdZXV0Gv479OrWF/ue3Ir3eHB1E+wa9YKyqvjWJTVBeIzXFnOMLxR/HC0uyIKV42fHeG3RY/y3MLFyQ9dhv0LP2Bolhdm4G7gdJ7YMxoiFF6GmoffvKvQvyctxraRI/DldQ8sQxfnVr2+Nas7ppUW50Pywvt+XFuLPhZ7gVZSDo6CALkOWCRMJKqqaMLNtjFuX/4KBiS00tA0Re/8i3iVFQ9/ISgI1FVVaVP12Xt31QrG4axntqvX+1I1zG6GpUxdWjpXrt0VnwbXMvpWV1zJtf/RFw2a9aqBmhJCPKCHAkkaNGqFjx45wdXVF165d0aVLF/Tv3x96el8+kTdrVpkZLygowLt37+DhIZqF9fDwQHS06F23IUOGwMLCAteuXYO6emX/8IcPH+L+/fsiLQJ4PB7KyspQUlIiUvaj9+/f4/379yLLKipUUKfO1/ppc0QfMgw4HI74omLKM8yHZjoir6la5tP3ZBgGxpYuaN1rFgDA2MIJOWkv8DjiGBq26IOMN08QfeMQBs8585VY/gvp1zsh8jLiHp5HtxEboW9SH5kpsbh5di00dYzRsEVfKCrWQc+ftiH42GLsWtQCHAVFWNq3glVDz39Rv3+PU+W7wTeth4iwIPgd3Yc5S9ZBR7dyn2ng6IIGjpWDRTo4uWHhjDG4etEPoyf61ljc/1XVejOfrd9/TkVVA7PXncb7shIkPLmL84fXw6CuBeo7tfj6i6VEXL3/636noqqBOetOo7ysBPFP7sD/8IZaV+/P1+3n++v36EXUBUT4Lxc+7jJyO4AqR7sPx6+v1PXz7wdVvx8dQ2v0nXYG70sLkfQ0EDdOLUSP8YeqJAX4vApcPz4bDMNHa++l/6RK/0GVWotZ9mlxMfu/uOVfYOMkeofU1Nod+1d2Ruw9fzTxGvPN71OT5OW49vm2yeAr9azy3Mcmx5XLlVU0MGaRP8rflyA57jZC/NZB19AS9ewFg+b2Gr0eV/5ehL8WeoKjoAgTSyc4Ne+F9NfPaqBG36bK+hWzn4qUr2Y7r/o+grECnj+4hEEzD0Hpk2vJuIeXEXvvPHqN3ggD0/rIeBuL66fXQkPHGC4t+/7rupDaj8/w2Q5BrlBCgCWKiooICgrCrVu3EBgYiN9//x2LFy/G3bt3v/g6DY2qAzNVOTmJudjs0aMHDh8+jDt37qBDhw7C5Xw+HytWrBBpdfCRqqqq2BjWrl2LFStWiCzrPnQZeg5fLra8moYeOAqKKPnsjk9JUTbUPssgfyTuDktpUQ4UFJSgqqH7SZmsKmU+zUpraBtB38ROpIxeXVu8iLkKAEhJfICSomzsX+ElfJ7h8xB+7ldEhR3CmGUhYuP7FmzWO/z8ejTtOAH2TXoCAAzNHFCY+w4PgneiYQvBSdTY0gVD553D+9JC8HgVUNfUx4lNA2Bcr+rsCzVNW1sXCgqKyMsVbQ2Qn5cLHd0v94O9dSMYO7etxcwFq+Dq3vyLZRUUFGDXoCFS3739zzHXBI0P9f78rllRQU6Vu8j/lIKCAgxNBHeLzK0bIv3dS1w7t7tW/DDW0NaDgoJildYAhTVUbyMTwZgg5taOSH/3EsHn9tSKeqtrVb++Nf9jvdlWr2EHGFtWjgb+sRtSSVEW1D8Z2b+sOAdqmtXXVdAaQPSYV1aUDdXPXqOopAxtA8H2bWThgqy3j/H01t9o07fyXMTnVSDkmC+Kct+i+7j9Em0dAHxyjC/47BhfmF3l7uhHGtpVW4iVFIoe4/+NOirqMDS1R25m0r9+j39LXo5r6pqC9V0sZn1raFe/vj+/i/5xfatp6gqXcRQUoGcsqGddy4bITk3E7YBdwoSAnlE9DJ11GOXvS1BeVgRNHWOc2zMTOoYWNVhD8dS+UO9qt3MxrQeE2/kn9QaA+8F7cffqTgyYth9G5o4iz4WdXY8WXSbAsZngWsbI3AEFOe9wL3AnJQQIqUE0hgCLOBwOPDw8sGLFCkRGRkJZWRlnz56FsrIyeDzeV1+vra0NMzMzhIeLDqp269YtNGzYUGTZ//73P6xbtw7e3t4ICwsTLm/SpAni4uJQv379Kn8K1UzpsnDhQuTn54v8dRm0UGxZQHAhZ2zhjNdxotMhvY67BVPrxmJfY2rtjtdxt0TLPw+HsaULFBXrfFImokqZT9/T1KYJ8j70o/8oLzMJWnrmAADH5r0xbN55DJ3rL/zT0DFGkw5j0WfSnmrr9C3YrDe3vKxKUojDUaxsbfAJFTUtqGvqIy8zCRlvnsDWpWOVMjVNqU4d2NR3wOOo+yLLH0fdh71j9QmJiLAgbN+yGtPmLEeT5l9vNsowDJJeJUCvlgwsqKSkDAsbJ8THiK7j+Me3YG3vXrMfxjDgVfyzPsmSoqRU50O9b4ssj398G9b2jWr2wxgG3Irymn3Pf0lJSRnm1k548UR0fb94cgtWDdzZCaqGKKtoQNvASvina1wfalqGePeisq48bjnSXt1H3Xrij3cAYFyvEVJeiH4/KS9uffE1gOBmI59XuZ4/JgPys5LR7ad9UFWXfLN5RSVlGFtWc4y3ER+/iZhjfHJcOIzrVR7j/w0utxw56YnQ0Db61+/xb8nLcU1RSRkm9ZyRFCu6vpNib8HcVvz6Nrd1R1Ks6Pfy6lk4TKy+vL4ZMMIk26eUVdShqWOMsuJ8vHoWjgZukj9fKyopo66lM5Kef1bv57dgVk29TW3dkfRctN5JseGo+1m97wXtwe0rf6HflD0wsXKt8j4VFVWvZRQUxF/LEEL+PWohwJK7d+/i2rVr6NKlC4yNjXH37l1kZmaiYcOGKCsrw9WrVxEXFwcDAwNhf39x5s6di2XLlsHOzg7u7u7Yv38/oqKicOTIkSplp02bBh6Ph169euHKlSto06YNli5dil69esHS0hIDBgyAgoICYmJi8PjxY6xatUrsZ6qoqEBFRbR7wNdmP2zcfgwCj8yDsaULTK0b48ntEyjKTYWrh2Dsg4gLG1Gcn44uw9cDAFw8BiM6/AhunF0Ll1YDkZoUiad3T6PbyI3C93RvNxJ+vw/Hg+BdsHXtiJePr+FN/G30n370k88dhVNbhuB+0A40cO+O9NcxeHL7JDoM/AWA4A7P5/0tFRTqQF3LEHp1bb9cqW/AVr1tnL1wP2gHtPTMYPChy8DHGQ8+Soi6AjUNfWjpmSErNQ43zqyBrWsnWH02YKGk9OwzCH9uWgnb+o6wb+iC4IBzyMpMR6cegqz/sQPbkZOdhSmzlwAQJAP+2rQSoybMRANHZ2HrAmVlFahrCO4E+h3dhwYOzjAxt0BpSTECzvsh+WUCfpo0Wyp1+haePUfh2J8LYGHrAmv7Rrhz7RRys1LRqtMgAMClY5uRn5uBoZMrpxtLSYoFALwvK0FRYS5SkmKhqFQHJhaC5tLX/HfDwtYZhnUtweVW4HnUDTy4eR79floi/QpWo33PkTjy50JY2jrD2r4Rbl3zQ25WKlp/qPfFD/UeJlLv5wA+rffzD/UWtPoJ9t8NS1tnGNS1BI9bgdiom7h/8wIG/PSz9CtYjTbdR+Pkjvkwt3GGVX133L1+CnnZqfiho6DeASc2IT83A4MmVU4f+C5ZsL7L35eguCAH75IF67uuuWB9c7nlyEhJBADwuBUoyE3Hu+RYKKuqw7Cu5PsUi8PhcODceiSiQ3cJkwTRobugVEcVtu6V/X3DTs2HunZdNO8q6Mbl3HokLu0egeiw3bBq2BHJsdeQ8uI2ek08LHzNg6ubYWHfFhq6pqh4X4yXMZeR9uoeuo7eBUAwV/m1ozOR/e4ZOo/cDobhCVtaqajpfHGk/v+qSfsxuHp4HurWExzjH986gcLcVLh9OMaHfzjGd/1wjHfzGIzom0cQdnYtXD8e4++cRvdPjvE8bjmy0wTrl88tR3F+OjLexkJZRR26H/qM3/D/FbYuXtDSM0VJYQ7uBW5HeVkRnFqwc9dUXo5rzTuOwcUD82Bi5QIzm8aIDj+BgtxUuLcVrO8w/40ozEtHr9GC9e3edjAehR7BNb+1aOQxEO9eRSLm1ml4/1S5vm8H7ISJlQv0DOuBxytH4pMbeHrnHLoMWS4s8/LZTYBhoF/XBrmZrxF6Zj3069rAtXXV1p2S0KzjGFw+OA8m9VxgZtsYMeEnUJiTikZtBPW+cW4jivLS0WOUoN6N2gxGZNgRXD+9Fm4eA/HuZSQe3z6NXmMq630vaDciLm5Fz9EboaNvLhyHoY6KOpRVBa1h7Vy8cOfqDmjpm8HQtD4y3sTiQch+uLTqh9pOUUMdGvUrZ7RSt7GAdiNHlOfko+xNKouRfR9kdTT/2ooSAizR1tbGjRs3sGXLFhQUFMDKygobN25E9+7d0axZM4SGhqJZs2YoKirC9evXYW1tLfZ9pk+fjoKCAsyePRsZGRlwcnLC+fPn0aCB+NHyZ86cCT6fjx49eiAgIABdu3bFxYsX8csvv2D9+vWoU6cOHB0dMW7cuBqtr32THigrycW9q3+huCADBqb28J64C9r6gjv1JQWZKMytPEDqGFjCe8Iu3PRfi5jwI9DUMUY7n8Wo36irsIypTRN0G7kJdy5vwZ0r26BjYIluozbDxLryjmPdem7oOfYP3Lq4Cfeu/gltfQt49l0Ex2beNVq/2lbvdv1+xp3LWxHqtwIlRdnQ0DaGa+tBaNF1irBMcX4mbvqv+9Dc0QiOzXujRZfJUvhWBFp7dkJRYQFOH9+PvJxsWFrZYsHy32BkLBhMMzc3G1mZ6cLywVfOgcfjYd/2jdi3vfKiwrNjd0z2FfwALC4uxO4/fkVebg7UNTRgbWuPZev+Qn0HJ6nV62sat+qOksI8BJ3ZjoK8TJhaNsC4+TugbySYy7kgLxN5WaIXC5sW9hf+//bVU0RGXIKeoRl+/l0wnVH5+xKc2b8SednpqKOsAmMzWwydsg6NW3WXXsW+onGr7iguzMfVMzuE9Z4wf/sn9c5C7mf1/k2k3s/w6EO9l/4eCAAof18Kv/2rkC+stw2GT1lbq+rdqGV3lBTl4Zr/dhTmZcLEogFGz9kJPUPBMaAgLwt52aL13vZz5cVuyquniLp9CbqGZliwOVjwmtxMkTI3Lu/Hjcv7YePYHBMXHwRb3DzHgVfxHrfO/4Ly0gIYWbih65g9UFap7OpWlJcKDqey9Vldq8bwGrQRD4O24lHw79DSt0SHwRthbFl5PCstykLYqfkoKcyEsqoW9E3s0XX0LuGMBsUF6XgdK+je5f+76A/iHuMOwtRWcs3LHZr0QFlxLu5c/Qsl+YJjfO9PjvHFBZko+OwY32fiLoSdXYuYm0egoWOM9j6L0cC98hhflJ+Boxv6CB8/DNmHhyH7YF6/BQZM+1tQJi8NVw7OQmlxHtQ09WBq5Y5Bs04KP1fa5OW41rBZD5QW5yLikuCcbmhqjwFTdkHHQPC9F+VnoiCnsp66hpboP2UXQvzWIjJMcE7vNHAxHJpUru+K9yUIOrYChXlpUKqjCn0TW/QaswENm/UQlnlfWogb/ptQmJcGVXVdODTuAs/evv+pVck/4dhUUO/bVyrr7TO5st7F+aLbua6hJfpN3oXrp9ci6oZgO+8wYDHsG1fWO+rGMfC4FTi/Z7rIZ7XqMRUePacBADoO/BnhF7ci+PgKlBZlQ0PHGI3aDEKr7lNQ2+k0dUGra38LHzv9tggA8ObQGcSMrb5VLSFs4DDU7obUgD+vsB0BkabW9WVrhPRvlVKoy3YIrFCAfJ4m3nPls1ddwpvve8DDf0tLQz7Xt6Uxl+0QWJGRJ5/3xHhyOlabWXcHtkNgRc+KOLZD+Fe6jKh+ulq2Bf795S5t3yP5PBoSQgghhBBCCKl1GL6cZq5YIp/pcEIIIYQQQgghRM5RQoAQQgghhBBCCJFD1GWAEEIIIYQQQkitQLMMSBe1ECCEEEIIIYQQQuQQJQQIIYQQQgghhBA5RF0GCCGEEEIIIYTUCgxDswxIE7UQIIQQQgghhBBC5BAlBAghhBBCCCGEEDlEXQYIIYQQQgghhNQKfJplQKqohQAhhBBCCCGEECKHKCFACCGEEEIIIYTIIeoyQAghhBBCCCGkVmD4NMuANFELAUIIIYQQQgghRA5RQoAQQgghhBBCCJFD1GWAEEIIIYQQQkitwNAsA1JFLQQIIYQQQgghhBA5RAkBQgghhBBCCCFEDlGXAUIIIYQQQgghtQLD0CwD0kQtBAghhBBCCCGEEDlECQFCCCGEEEIIIUQOUZcBQgghhBBCCCG1As0yIF3UQoAQQgghhBBCCJFDlBAghBBCCCGEEELkEHUZIIQQQgghhBBSKzB8mmVAmqiFACGEEEIIIYQQIocoIUAIIYQQQgghhMgjhpDvWFlZGbNs2TKmrKyM7VCkiupN9ZYHVG+qtzygelO95QHVW77qTb4vHIZhaF4H8t0qKCiAjo4O8vPzoa2tzXY4UkP1pnrLA6o31VseUL2p3vKA6i1f9SbfF+oyQAghhBBCCCGEyCFKCBBCCCGEEEIIIXKIEgKEEEIIIYQQQogcooQA+a6pqKhg2bJlUFFRYTsUqaJ6U73lAdWb6i0PqN5Ub3lA9ZavepPvCw0qSAghhBBCCCGEyCFqIUAIIYQQQgghhMghSggQQgghhBBCCCFyiBIChBBCCCGEEEKIHKKEACGEEEIIIYQQIocoIUBILcfj8RAWFobc3Fy2QyGEEEIIIYTIEEoIEFLLKSoqomvXrsjLy2M7FFa9ePECV69eRWlpKQCAJkghRDaUl5cjLi4OXC6X7VAIITXk0aNHePz4sfDxuXPn0KdPHyxatAjl5eUsRiY9ZWVlbIdAyDdRYjsAQsjXubq64uXLl7CxsWE7FKnLzs7GoEGDEBISAg6Hg4SEBNja2mLcuHHQ1dXFxo0b2Q6RSEhZWRlUVVXZDkNizp8//81lvb29JRgJO0pKSjBt2jQcPHgQABAfHw9bW1tMnz4dZmZmWLBgAcsRSt6LFy+QmJgIT09PqKmpgWEYcDgctsOqUT4+Pt9c9syZMxKMhEjTxIkTsWDBAuH1y+DBg9G3b1+cOnUKJSUl2LJlC9shSgSfz8fq1auxY8cOpKenC49rS5YsgbW1NcaOHct2iIRUQQkB8l3Ytm3bN5edPn26BCNhx+rVqzFnzhysXLkSTZs2hYaGhsjz2traLEUmeb6+vlBSUsLr16/RsGFD4fJBgwbB19dXZhMC6enpmDNnDq5du4aMjIwqLSJ4PB5LkUmWPF1M9enTR+Qxh8MRWc+f/jCUxfW9cOFCREdHIzQ0FN26dRMu79SpE5YtWybTCQF5SnTq6OiwHQIr9PX1ER8fD0NDQ+jp6X0x0ZOTkyPFyKQjPj4e7u7uAIBTp07B09MTR48eRUREBAYPHiyzCYFVq1bh4MGDWL9+PcaPHy9c7urqis2bN8vUOYzIDkoIkO/C5s2bRR5nZmaipKQEurq6AIC8vDyoq6vD2NhYJhMCHy+Wvb29RS4qPt5NksUfCx8FBgbi6tWrsLCwEFneoEEDJCcnsxSV5I0ePRqvX7/GkiVLYGpqKnN3DasjTxdTfD5f+H9wcDDmz5+PNWvWoFWrVuBwOLh16xZ+/vlnrFmzhsUoJcff3x8nTpxAy5YtRbZvJycnJCYmshiZ5MlTonP//v1sh8CKzZs3Q0tLCwBk9sfvlzAMIzzGBQcHo1evXgAAS0tLZGVlsRmaRB06dAi7du1Cx44dMWnSJOFyNzc3PH/+nMXICKkeJQTId+HVq1fC/48ePYq//voLe/fuhYODAwAgLi4O48ePx8SJE9kKUaKuX7/OdgisKS4uhrq6epXlWVlZUFFRYSEi6QgPD8fNmzeFd1jkhbxeTM2cORM7duxAmzZthMu6du0KdXV1TJgwAbGxsSxGJxmZmZkwNjausry4uFjmE2DymugEAC6Xi9DQUCQmJmLo0KHQ0tLCu3fvoK2tDU1NTbbDqzGjRo0S+7+8aNasGVatWoVOnTohLCwM27dvByC4nqtbty7L0UlOSkoK6tevX2U5n89HRUUFCxER8nWUECDfnSVLlsDPz0+YDAAABwcHbN68Gf3798ewYcNYjE4y2rVrx3YIrPH09MShQ4ewcuVKAIJm1Hw+Hxs2bICXlxfL0UmOpaWlXA6cKK8XU4mJiWKbVuvo6CApKUn6AUlB8+bNcenSJUybNg1AZReJ3bt3o1WrVmyGJnHymuhMTk5Gt27d8Pr1a7x//x6dO3eGlpYW1q9fj7KyMuzYsYPtECUqIyMDGRkZIq2DAEHCU9Zs2bIFw4YNg7+/PxYvXiw8rvv5+aF169YsRyc5zs7OuHnzJqysrESWnzp1Co0bN2YpKkK+jBIC5LuTmpoq9ocBj8dDeno6CxFJx82bN7Fz5068fPkSp06dgrm5Of7++2/Y2NiI3FWUNRs2bED79u3x4MEDlJeXY968eXj69ClycnIQERHBdngSs2XLFixYsAA7d+6EtbU12+FIjbxeTDVv3hwzZ87E4cOHYWpqCgBIS0vD7Nmz0aJFC5ajk4y1a9eiW7duePbsGbhcLrZu3YqnT5/i9u3bCAsLYzs8iZLXROeMGTPQrFkzREdHw8DAQLi8b9++GDduHIuRSdbDhw8xatQoxMbGVkn0ymq3Pzc3N5FZBj7asGEDFBUVWYhIOpYtW4YRI0YgJSUFfD4fZ86cQVxcHA4dOoSLFy+yHR4hYlFCgHx3OnbsiPHjx2Pv3r1o2rQpOBwOHjx4gIkTJ6JTp05shycRp0+fxogRIzBs2DA8evQI79+/BwAUFhZizZo1uHz5MssRSo6TkxNiYmKwfft2KCoqori4GD4+PpgyZYrwh5MsGjRoEEpKSmBnZwd1dXXUqVNH5HlZHIQKkN+LqX379qFv376wsrJCvXr1AACvX7+Gvb09/P392Q1OQlq3bo2IiAj89ttvsLOzQ2BgIJo0aYLbt2/D1dWV7fAkSl4TneHh4YiIiICysrLIcisrK6SkpLAUleSNGTMG9vb22Lt3L+rWrSvzXWK+RJZnjgGAH3/8ESdOnMCaNWvA4XCwdOlSNGnSBBcuXEDnzp3ZDo8QsTiMPLZJJd+1zMxMjBo1CgEBAcIfSRUVFejWrRv2798vk33TGjduDF9fX4wcORJaWlqIjo6Gra0toqKi0K1bN6SlpbEdIqlhH6diq44s90m9evUq1qxZg4cPH4LP56NJkyZYunQpunTpwnZoEsUwDIKCgvD8+XMwDAMnJyd06tRJrn88yLK0tDRs375dZDuX9USnvr4+wsPD4eTkJHIuCw8PR79+/WS2lZ+WlhYiIyPFdoeSVQoKCl88dsliqwgAePPmDSwtLcU+d+fOHbRs2VLKERHydZQQIN+thIQEYfO7hg0bwt7enu2QJEZdXR3Pnj2DtbW1yEXUy5cv4eTkhLKyMrZDlJiYmBixyzkcDlRVVVGvXj2Z7nNL5E9ZWRlUVFTkIhHA4/Fw9uxZxMbGgsPhoGHDhujduzeUlKgBoywaNGgQdHR0sGvXLmhpaSEmJgZGRkbo3bs36tWrJ7MzEvTp0wcjRoxAv3792A5Fas6dOyfyuKKiApGRkTh48CBWrFghUzPGfMrR0REREREiXWIAICIiAj179kReXh47gRHyBXTGJd+FWbNmYeXKldDQ0MCsWbOqPP9pf9NNmzZJMzSpMDU1xYsXL6r0JQ8PD4etrS07QUmJu7u78IfRx/zlpz+U6tSpg0GDBmHnzp0y1xSRx+PB399f+GPJyckJ3t7eMt3/8s2bN+BwOMLR1+/du4ejR4/CyckJEyZMYDk6yeHz+Vi9ejV27NiB9PR0xMfHw9bWFkuWLIG1tbVMXjw/efIEvXv3RlpamnCQ2Pj4eBgZGeH8+fMy320gNzcXe/fuFUmGjBkzBvr6+myHJjGbN2+Gl5eXMJE9dOhQJCQkwNDQEMeOHWM7PInZs2cPRo0ahSdPnsDFxaVKFzBvb2+WIpOc3r17V1nWv39/ODs748SJEzJ5TAOAtm3bokuXLggNDRVOO3njxg38+OOPWL58ObvBEVINaiFAvgteXl44e/YsdHV1vzjgEofDQUhIiBQjk47169fj4MGD2LdvHzp37ozLly8jOTkZvr6+WLp0KaZOncp2iBJz7tw5zJ8/H3PnzkWLFi3AMAzu37+PjRs3YtmyZeByuViwYAEGDRqE3377je1wa8yLFy/Qo0cPpKSkwMHBAQzDID4+HpaWlrh06RLs7OzYDlEi2rZtiwkTJmDEiBFIS0uDvb09XFxcEB8fj+nTp2Pp0qVshygRv/zyCw4ePIhffvkF48ePx5MnT2Bra4uTJ09i8+bNuH37Ntsh1riWLVvC2NgYBw8ehJ6eHgDBj+TRo0cjIyNDJuv8UVhYGHr37g1tbW00a9YMgGDguby8PJw/f16mZ5YpLS3FsWPH8OjRI2FXiWHDhkFNTY3t0CTm/PnzGDFiBAoLC6s8J6uDClYnMTERbm5uKC4uZjsUiWAYBgMGDEBGRgYCAwNx+/ZteHt7Y9WqVZgxYwbb4REiHkMI+S4sWrSIUVNTYzgcDsPhcBhVVVXm559/ZjssiWvevDkTEBBQZXlAQADTvHlzhmEY5uzZs4ytra20Q5Oo7t27M926dWOys7OFy7Kysphu3boxPXr0YDEyydLV1WWeP3/OMAzDbN26lWndujXDMAxz9epVxsbGhs3QJMrOzo4JDg5mGIZhNDU1mcTERIZhGCY2NpbR1dVlMzSJUVVVZZ48eVJl+ePHjxlVVVUWIpIeZ2dnZvz48QyXyxUu43K5zIQJExhnZ2cWI5Os4uJitkNghZWVFTNlyhQmLS2N7VBYVVJSwsyYMYOxt7dnOxSJKi8vZzp37sy0bt2a0dTUZH7//Xe2QyLki6jLACHfidWrV2Px4sV49uwZ+Hw+nJycoKmpyXZYEvf48eMqU9ABglGpP05p5O7ujtTUVGmHJlFhYWG4c+eOSPNhAwMDrFu3Dh4eHixGJlkVFRXCMSGCg4OFTWkdHR1lbh1/KiUlReyAY3w+X+w0q7LAwcEB6enpcHZ2FlmekZEh84OvJSYm4vTp0yLdfxQVFTFr1iwcOnSIxcgky9jYWNifvnPnzlBQUGA7JKnIzs6Gr6+vTA56XB09PT2R7n0Mw6CwsBDq6uo4fPgwi5HVPHFjHS1btgxDhgzB8OHD4enpKSzj5uYm7fAI+SpKCBDyHVFXVxc2L5UXjo6OWLduHXbt2iWcqqqiogLr1q2Do6MjAMGPKVm70FJRURHbvLSoqKjKlF2yxNnZGTt27EDPnj0RFBQknKf93bt3VQZpkiXOzs64efNmleTXqVOn0LhxY5aikqw1a9Zg+vTpWL58uXDk7Tt37uCXX37Br7/+ioKCAmFZbW1ttsKUiCZNmiA2NlY4dsJHsbGxcHd3ZycoKTh06BCOHTuGvn37QltbG4MGDcLw4cPRvHlztkOTKB8fH1y/fl1mu3qJs3nzZpGEgIKCAoyMjPDDDz8IuwjJio9jHTGf9ML++Hjnzp3YtWsXGIaRu+4h5PtBCQFCaikfH59vLnvmzBkJRsKuP//8E97e3rCwsICbmxs4HA5iYmLA4/GE89K/fPkSkydPZjnSmtWrVy9MmDABe/fuRYsWLQAAd+/exaRJk2RyAKqPfv31V/Tt2xcbNmzAqFGj0KhRIwCCPrgfvwdZtGzZMowYMQIpKSng8/k4c+YM4uLicOjQIeF2Lmt69eoFABg4cGCVgUN//PFH4WNZvIiePn06ZsyYgRcvXogkQ/7880+sW7dO5I6jLN1R9PHxgY+PDwoLC+Hn54djx46hdevWsLGxwfDhw2V2jBB7e3ssXLgQ4eHhcHV1rTKo4PTp01mKTHI6dOgAS0tLsbOlvH79GvXq1WMhKsl49eoV2yEQ8p/QoIKE1FJjxowR/s8wDM6ePQsdHZ0qA1D5+PjI7FRNHxUVFeHw4cOIj48HwzBwdHTE0KFDhSP4yqK8vDyMGjUKFy5cEF48crlceHt748CBA9DR0WE5Qsnh8XgoKCgQuYuUlJQEdXV1GBsbsxiZZF29ehVr1qwRmZd+6dKl6NKlC9uhSURoaOg3T60oa4Psfa2p/Me7i7KYDPncs2fPMGzYMGGiVxbZ2NhU+xyHw8HLly+lGI10KCoqIjU1tcoxOzs7G8bGxjK7rgn5HlFCgJDvwPz585GTk4MdO3YI+5zyeDxMnjwZ2tra2LBhA8sRSt6zZ8/w+vVrlJeXiyyX5bvlAJCQkIDnz5+DYRg4OTnJfN9qQuRBcnLyN5cVN4bK966srAznz5/H0aNHERAQAGNjYwwZMgS//vor26FJHCNm+lxZpKCggLS0tCoJgeTkZDg5OcnsLAOAYIyQLVu2iEwpOmPGDLnqMkK+L5QQIOQ7YGRkhPDw8Cr9TePi4tC6dWtkZ2ezFJnkvXz5En379sXjx49F7pp9RHcZZI+fnx9OnjwpNgH06NEjlqIiNc3GxgZjxozB6NGjZar58LcoLi6GhoYG22FIXWBgII4cOQJ/f38oKiqif//+GDZsmMy1ABFn79692Lx5MxISEgAADRo0wMyZMzFu3DiWI6tZs2bNAgBs3boV48ePh7q6uvA5Ho+Hu3fvQlFREREREWyFKFFXr16Ft7c33N3d4eHhAYZhcOvWLURHR+PChQvo3Lkz2yESUgWNIUDId4DL5VY7ABWfz2cpKumYMWMGbGxsEBwcDFtbW9y9exc5OTmYPXs2fvvtN7bDq1GzZs3CypUroaGhIbyoqs6mTZukFJV0bdu2DYsXL8aoUaNw7tw5jBkzBomJibh//z6mTJnCdng1Sl9fH/Hx8TA0NKwyIvfncnJypBiZdMyaNQsHDhzAL7/8Ai8vL4wdOxZ9+/YVzjIhy+rWrYuBAwfip59+Qps2bdgOR2r69OmDnj174uDBg+jZs2eVvvSyasmSJdi8eTOmTZuGVq1aAQBu374NX19fJCUlYdWqVSxHWHMiIyMBCFpCPH78WGQQXGVlZTRq1Ahz5sxhKzyJW7BgAXx9fbFu3boqy+fPn08JAVIrUQsBQr4DHy+cFy1aJDIA1bp16zBy5EiZ/XEIAIaGhggJCYGbmxt0dHRw7949ODg4ICQkBLNnzxZefMgCLy8vnD17Frq6uvDy8qq2HIfDQUhIiBQjkx5HR0fhdE1aWlqIjo6Gra0tli5dipycHPzxxx9sh1hjDh48iMGDB0NFRQUHDx78YtlRo0ZJKSrpi46Oxr59+3Ds2DFwuVwMHToUP/30E5o0acJ2aBJz4cIFHDhwABcvXoSVlRV++uknjBw5EmZmZmyHJlEFBQUyN2PEtzA0NMTvv/+OIUOGiCw/duwYpk2bhqysLJYik5wxY8Zg69atcre+VVVV8fjxYzRo0EBkeXx8PNzc3FBWVsZSZIR8AUMIqfV4PB7z66+/MmZmZgyHw2E4HA5jZmbG/PrrrwyXy2U7PInS1dVlEhMTGYZhGFtbWyYkJIRhGIZ58eIFo6amxmZoRALU1NSYpKQkhmEYxsjIiImKimIYhmHi4+MZfX19NkOTmIqKCubAgQNMamoq26Gwqry8nNmyZQujoqLCKCgoMG5ubszevXsZPp/PdmgSk5WVxWzatIlxc3NjlJSUmJ49ezKnT59mKioq2A5NYl68eMEsXryYGTx4MJOens4wDMNcuXKFefLkCcuRSY6uri4THx9fZXlcXByjo6Mj/YCIxFhYWDAnT56ssvzEiROMpaUlCxER8nVfHuaWEFIrKCgoYN68eUhJSUFeXh7y8vKQkpKCefPmCQcZlFUuLi7CKbh++OEHrF+/HhEREfjll19ga2vLcnTSU1BQAH9/fzx//pztUCTKxMREOCaGlZUV7ty5A0AwrRMjow3alJSU8L///Q/v379nOxRWVFRU4OTJk/D29sbs2bPRrFkz7NmzBwMHDsTixYsxbNgwtkOUGAMDA/j6+iI6OhqbNm1CcHAw+vfvDzMzMyxduhQlJSVsh1ijwsLC4Orqirt37+LMmTMoKioCAMTExGDZsmUsRyc5w4cPx/bt26ss37Vrl0xv3/fv38e8efMwePBg4ZSTH/9k1fjx4zFhwgT8+uuvuHnzJsLDw7Fu3TpMnDgREyZMYDs8QsSiMQQI+c7IW/O7n3/+WTga8apVq9CrVy+0bdsWBgYGOHHiBMvRSc7AgQPh6emJqVOnorS0FM2aNUNSUhIYhsHx48fRr18/tkOUiA4dOuDChQto0qQJxo4dC19fX/j5+eHBgwcyfRH5ww8/IDIyUiZHlK/Oo0ePsH//fhw7dgyKiooYMWIENm/eDEdHR2GZLl26wNPTk8UoJSstLQ2HDh3C/v378fr1a/Tv3x9jx47Fu3fvsG7dOty5cweBgYFsh1ljFixYgFWrVmHWrFki08Z6eXlh69atLEZW8z4dB4bD4WDPnj0IDAwU6fb35s0bjBw5kq0QJer48eMYOXIkunTpgqCgIHTp0gUJCQlIS0tD37592Q5PYpYsWQItLS1s3LgRCxcuBACYmZlh+fLlmD59OsvRESIejSFAyHcgPT0dc+bMwbVr15CRkVHlTqm8jbSfk5Pz1UHYvncmJia4evUqGjVqhKNHj2LZsmWIjo7GwYMHsWvXLpkaO+FTfD4ffD4fSkqCfPXJkycRHh6O+vXrY9KkSSIDVMmSU6dOCQejatq0aZUR6N3c3FiKTHIUFRXRuXNnjB07Fn369BE7wFxxcTGmTp2K/fv3sxCh5Jw5cwb79+/H1atX4eTkhHHjxmH48OHQ1dUVlnn69CkaN25cZaaN75mmpiYeP34MGxsbkTFCkpKS4OjoKFP9q780DsynZHVMGDc3N0ycOBFTpkwRrmsbGxtMnDgRpqamWLFiBdsh1jgul4sjR46ga9euMDExQWFhIQCIJL8IqY0oIUDId6B79+54/fo1pk6dClNT0yo/hHv37s1SZERS1NTUEB8fD0tLS+FgY+vWrcPr16/h5OQkbGpLZIOCQtUefJ9OsymLSb/k5GS5ahHxKR0dHQwePBjjxo1D8+bNxZYpLS3F+vXrZaopvYWFBU6ePInWrVuLJATOnj2LOXPmIDExke0QSQ3R0NDA06dPYW1tDUNDQ1y/fh2urq6IjY1Fhw4dkJqaynaIEqGuro7Y2Fi5PbaR7xN1GSDkOxAeHo6bN2/C3d2d7VCIlFhaWuL27dvQ19dHQEAAjh8/DgDIzc2Fqqoqy9FJ1s2bN7Fz504kJibCz88P5ubm+Pvvv2FjYyOzU7S9evWK7RCkzsvLC/fv34eBgYHI8ry8PDRp0gQvX75kKTLJS01NFZmfXRw1NTWZSgYAwNChQzF//nycOnUKHA4HfD4fERERmDNnjsw2nZdX+vr6wjvk5ubmePLkCVxdXZGXlydzY2N8Sh67f5HvHyUECPkOWFpayuyAakS8mTNnYtiwYdDU1ISVlRXat28PALhx4wZcXV3ZDU6CTp8+jREjRmDYsGGIjIwUDrRXWFiINWvW4PLlyyxHWPMqKirg5eWFixcvwsnJie1wpCYpKUlsy4f3798jJSWFhYikR0tLC6mpqTA2NhZZnp2dDWNjY5lsEQIAq1evxujRo2Fubg6GYeDk5AQej4ehQ4fi559/Zjs8UoPatm2LoKAguLq6YuDAgZgxYwZCQkIQFBSEjh07sh2exEyePBmzZ8/G27dv5ab7F/n+UZcBQr4DgYGB2LhxI3bu3Alra2u2wyFS8uDBA7x58wadO3eGpqYmAODSpUvQ1dWFh4cHy9FJRuPGjeHr64uRI0eKNCmOiopCt27dkJaWxnaIEmFubo7g4GA0bNiQ7VAk7vz58wCAPn364ODBg9DR0RE+x+PxcO3aNQQFBSEuLo6tECVOQUEBaWlpVRIC7969g52dHUpLS1mKTDoSExMRGRkJPp+Pxo0bV5mznXz/cnJyUFZWBjMzM/D5fPz222/C8WCWLFkCPT09tkOUCHns/kW+f5QQIOQ7oKenh5KSEnC5XKirq1cZfCsnJ4elyAipWerq6nj27Bmsra1FEgIvX76Ek5OTTA069ql169bh+fPn2LNnj3BARVn18YL540Xyp+rUqQNra2ts3LgRvXr1YiM8idq2bRsAwNfXFytXrhQm+gBBMuTGjRtISkqS2UFDCZF1ycnJX3yeuhKQ2ki2rzoIkRFbtmxhOwQiZTweDwcOHBDOLMHn80Wel8VRqQHA1NQUL168qNISJjw8HLa2tuwEJQV3797FtWvXEBgYCFdX1yrNTM+cOcNSZDXv47ZsY2OD+/fvw9DQkOWIpGfz5s0AAIZhsGPHDigqKgqfU1ZWhrW1NXbs2MFWeBLx6fR7X7Np0yYJRkKkSVFRUS67xSQnJ6N169ZVErtcLhe3bt2ihACplSghQMh3YNSoUWyHQKRsxowZOHDgAHr27AkXFxeZnmLxUxMnTsSMGTOwb98+cDgcvHv3Drdv38acOXOwdOlStsOTGF1dXfTr14/tMKTqWwdSdHV1xeXLl2FpaSnhiCTvY529vLxw5swZmW02/alvbe0gL8c4eVFdA+T379/L7PSxgGDfFpcIyc/Ph5eXl8wmQsj3jRIChHwnEhMTsX//fiQmJmLr1q0wNjZGQEAALC0t4ezszHZ4pIYdP34cJ0+eRI8ePdgORarmzZsnvHAqKyuDp6cnVFRUMGfOHEydOpXt8CRm//79bIdQayUlJaGiooLtMGrU9evXv6mctrY2oqKivuvWMd9a10+9ffsWZmZmYvtjk9rtY7cYDoeDPXv2iO0W4+joyFZ4EvdxrIDPZWdnV2n5RUhtQQkBQr4DYWFh6N69Ozw8PHDjxg2sXr0axsbGiImJwZ49e+Dn58d2iKSGKSsro35Z5rGxAAAre0lEQVT9+myHwYrVq1dj8eLFePbsGfh8PpycnEQuKgmRF/I6zJOTk9N3nwiRV/LYLQYAfHx8AAgSIaNHj4aKiorwOR6Ph5iYGLRu3Zqt8Aj5IkoIEPIdWLBgAVatWoVZs2ZBS0tLuNzLywtbt25lMTIiKbNnz8bWrVvxxx9/yGVTWnV1dTRr1gwFBQUIDg6Gg4ODzI/A7+fnh5MnT+L169coLy8Xee7Ro0csRUWI9MlrIkQWyGO3GADC2VIYhoGWlhbU1NSEzykrK6Nly5YYP348W+ER8kWUECDkO/D48WMcPXq0ynIjIyNkZ2ezEBGRtPDwcFy/fh1XrlyBs7NzlZklZGmQuU8NHDgQnp6emDp1KkpLS9G8eXO8evUKDMPg+PHjMtvPftu2bVi8eDFGjRqFc+fOYcyYMUhMTMT9+/cxZcoUtsMjhJB/5POuIjweD48fP4aVlZVMJgk+dvsyMjLC8uXLoa6uDkDQ5cnf3x8NGzaUqwFUyfeFOmcR8h3Q1dVFampqleWRkZEwNzdnISIiabq6uujbty/atWsHQ0ND6OjoiPzJqhs3bqBt27YAgLNnz4LP5yMvLw/btm3DqlWrWI5Ocv766y/s2rULf/zxB5SVlTFv3jwEBQVh+vTpyM/PZzs8Qgj5R2bOnIm9e/cCECQDPD090aRJE1haWiI0NJTd4CQoMjIShw4dAgDk5eWhZcuW2LhxI/r06YPt27ezHB0h4lELAUK+A0OHDsX8+fNx6tQpcDgc8Pl8REREYM6cORg5ciTb4REJkNdB5vLz86Gvrw8ACAgIQL9+/aCuro6ePXti7ty5LEcnOa9fvxb2L1VTU0NhYSEAYMSIEWjZsiX++OMPNsMjLJHH7kJENpw6dQrDhw8HAFy4cAFJSUl4/vw5Dh06hMWLFyMiIoLlCCUjMjJSOFW0n58f6tati8jISJw+fRpLly7F//73P3YDJEQMaiFAyHdg9erVqFevHszNzVFUVAQnJye0bdsWrVu3xs8//8x2eERCuFwugoODsXPnTuEPxHfv3qGoqIjlyCTH0tISt2/fRnFxMQICAtClSxcAQG5uLlRVVVmOTnJMTEyE3X+srKxw584dABB2l5BFb968qfa5j/UHgJ07d6Ju3brSCKnWkdV1/zWUCPn+ZWdnw8TEBABw+fJlDBgwAPb29hg7diweP37McnSSU1JSIhzrKTAwED4+PlBQUEDLli2RnJzMcnSEiEcJAUK+A3Xq1MGRI0eQkJCAkydP4vDhw4iLi8Pff/8tMoIvkR3JyclwdXVF7969MWXKFGRmZgIA1q9fjzlz5rAcneTMnDkTw4YNg4WFBczMzNC+fXsAgq4Erq6u7AYnQR06dMCFCxcAAGPHjoWvry86d+6MQYMGoW/fvixHJxmdO3cWOwZKREQEunXrJnw8dOhQmZ2uq7y8HHFxceByuWKfv3Llilx2C5PXRIgsqVu3Lp49ewYej4eAgAB06tQJgOAHsyxft9SvXx/+/v548+YNrl69KkxqZ2RkQFtbm+XoCBGPugwQ8h2YNWtWlWV37twBh8OBqqoq6tevj969ewubWpPv34wZM9CsWTNER0fDwMBAuLxv374YN24ci5FJ1uTJk9GiRQu8efMGnTt3Fs5DbmtrK9NjCOzatQt8Ph8AMGnSJOjr6yM8PBw//vgjJk2axHJ0ktG2bVt06dIFoaGhwjtqN27cwI8//ojly5ezG5yElZSUYNq0aTh48CAAID4+Hra2tpg+fTrMzMywYMECAECbNm3YDFNiXrx4gcTERHh6ekJNTa3K3O3Pnj2DmZkZixGS/2rMmDEYOHAgTE1NweFw0LlzZwDA3bt34ejoyHJ0krN06VIMHToUvr6+6NixI1q1agVA0FqgcePGLEdHiHgchtKwhNR6Xl5eePToEXg8HhwcHMAwDBISEqCoqAhHR0fExcWBw+EgPDwcTk5ObIdLaoChoSEiIiLg4OAALS0tREdHw9bWFklJSXByckJJSQnbIRLynzAMgwEDBiAjIwOBgYG4ffs2vL29sWrVKsyYMYPt8CRqxowZiIiIwJYtW9CtWzfExMTA1tYW58+fx7JlyxAZGcl2iBKRnZ2NQYMGISQkBBwOBwkJCbC1tcXYsWOhq6uLjRs3sh0iqUF+fn548+YNBgwYAAsLCwDAwYMHoauri969e7McneSkpaUhNTUVjRo1Eia17927B21tbZlOhpDvF7UQIOQ78PHu//79+4VNzgoKCjB27Fi0adMG48ePF2akr169ynK0pCbw+XzweLwqy9++fSu8myorZs2ahZUrV0JDQ0Nsa5hPbdq0SUpRSV9ZWRliYmKQkZEhbC3wkbe3N0tRSQ6Hw8GxY8fQs2dPdOzYETExMVi7di2mTp3KdmgS5+/vjxMnTqBly5Yid8adnJyQmJjIYmSS5evrCyUlJbx+/RoNGzYULh80aBB8fX0pISBj+vfvX2XZqFGjRB67urri8uXLsLS0lFZYEmdiYiIcP+GjFi1asBQNIV9HCQFCvgMbNmxAUFCQSP8zbW1tLF++HF26dMGMGTOwdOlSYV818v3r3LkztmzZgl27dgEQ/HgqKirCsmXL0KNHD5ajq1mRkZGoqKgQ/l8dWR5oLCAgACNHjkRWVlaV5zgcjtjk0PcoJiamyrJly5ZhyJAhGD58ODw9PYVl3NzcpB2e1GRmZsLY2LjK8uLiYpnezgMDA3H16lXh3eKPGjRoQAOuyamkpCTh8Z8Qwg5KCBDyHcjPz0dGRkaV7gCZmZkoKCgAIJi3vry8nI3wiARs3rwZXl5ecHJyQllZGYYOHYqEhAQYGhri2LFjbIdXo65fvy72f3kydepUDBgwAEuXLpXpEfXd3d3B4XBEBo37+Hjnzp3YtWuXsD+5rCRBxGnevDkuXbqEadOmAahMdu3evVvY51gWFRcXQ11dvcryrKwsqKiosBARIYQQSggQ8h3o3bs3fvrpJ2zcuBHNmzcHh8PBvXv3MGfOHPTp0weAoH+avb09u4GSGmNmZoaoqCgcP34cDx8+BJ/Px9ixYzFs2DCoqamxHR6pYRkZGZg1a5ZMJwMAwTSKBFi7di26deuGZ8+egcvlYuvWrXj69Clu376NsLAwtsOTGE9PTxw6dAgrV64EIEiE8Pl8bNiwAV5eXixHRwgh8okGFSTkO1BUVARfX18cOnRIOD2VkpISRo0ahc2bN0NDQwNRUVEABHfgyPfvxo0baN26NZSURPO2XC4Xt27dgqenJ0uR1TwfH59vLnvmzBkJRsKen376CR4eHhg7dizboUhFRUUFJkyYgCVLlsDW1pbtcFjx+PFj/Pbbb8KEX5MmTTB//nyZnl7z2bNnaN++PZo2bYqQkBB4e3vj6dOnyMnJQUREBOzs7NgOkUjZp4PmEkLYQQkBQr4jRUVFePnyJRiGgZ2dHTQ1NdkOiUiIoqIiUlNTq/Qzzs7OhrGxsUw1px4zZozwf4ZhcPbsWejo6KBZs2YAgIcPHyIvLw8+Pj7Yv38/W2FKVElJCQYMGAAjIyO4urqiTp06Is9Pnz6dpcgkR1dXF48ePaIfAnImLS0N27dvF0mETJkyBaampmyHRlhACQFC2EcJAUIIqYUUFBSQnp4OIyMjkeXx8fFo1qyZcOwIWTN//nzk5ORgx44dUFRUBADweDxMnjwZ2tra2LBhA8sRSsaePXswadIkqKmpwcDAQGRgOQ6Hg5cvX7IYnWSMGTMGrq6uX51ZQhZdvnwZioqK6Nq1q8jyq1evgs/no3v37ixFRoh0UUKAEPZRQoAQQmqRj83nz507h27duokMtMXj8RATEwMHBwcEBASwFaJEGRkZITw8HA4ODiLL4+Li0Lp1a2RnZ7MUmWSZmJhg+vTpWLBggXDealm3evVq/Pbbb+jYsSOaNm0KDQ0NkedlsVXER25ubli3bl2VGUMCAgIwf/58REdHsxSZZAUEBEBTUxNt2rQBAPz555/YvXs3nJyc8Oeff0JPT4/lCIm0HT16FL17966y/xNCpIcGFSSEkFpER0cHgKDpvJaWlsgAgsrKymjZsiXGjx/PVngSx+VyERsbWyUhEBsbCz6fz1JUkldeXo5BgwbJTTIAELSK0NXVxcOHD/Hw4UOR5zgcjkwnBBISEqrMGgMAjo6OePHiBQsRScfcuXPx66+/AhCMoTBr1izMnj0bISEhmDVrlsx2CZJH27ZtE7ucw+FAVVUV9evXh6enJ4YOHSrlyAghn6OEACGE1CL79+8HwzBgGAa///47tLS02A5JqsaMGYOffvoJL168QMuWLQEAd+7cwbp160TGGpA1o0aNwokTJ7Bo0SK2Q5EaeZ5xQEdHBy9fvoS1tbXI8hcvXsj0ndJXr14JEyGnT5/Gjz/+iDVr1uDRo0dVWkuQ79vmzZuRmZmJkpIS6OnpgWEY5OXlQV1dHZqamsjIyICtrS2uX78OS0tLtsMlRK5RQoAQQmoZhmFw9OhRLF68WO4SAr/99htMTEywefNmpKamAgBMTU0xb948zJ49m+XoJIfH42H9+vW4evUq3NzcqgwquGnTJpYik46PvRc/HTtBlnl7e2PmzJk4e/ascGT9Fy9eYPbs2fD29mY5OslRVlZGSUkJACA4OBgjR44EAOjr68vsuCjyas2aNdi1axf27Nkjso1PnDgREyZMgIeHBwYPHgxfX1/4+fmxHC0h8o3GECCEkFrI2dkZe/fuFd4ll0cffyBoa2tXeS4iIgLNmjUTGWPhe/alOdg5HA5CQkKkGI30HDp0CBs2bEBCQgIAwN7eHnPnzsWIESNYjkyy8vPz0a1bNzx48AAWFhYAgLdv36Jt27Y4c+YMdHV12Q1QQry9vVFeXg4PDw+sXLkSr169grm5OQIDAzF16lTEx8ezHSKpIXZ2djh9+nSVqZAjIyPRr18/vHz5Erdu3UK/fv2EyV9CCDuohQAhhNRC69evx9y5c7F9+3a4uLiwHQ4rxCUCPurevTuioqJkZmTq69evf1O5t2/fwszMTCbGGti0aROWLFmCqVOnwsPDAwzDICIiApMmTUJWVhZ8fX3ZDlFidHR0cOvWLQQFBSE6Ohpqampwc3ODp6cn26FJ1B9//IHJkyfDz88P27dvh7m5OQDgypUr6NatG8vRkZqUmpoKLpdbZTmXy0VaWhoAwMzMDIWFhdIOjRDyGWohQAghtZCenh5KSkrA5XKhrKwsMrggAOTk5LAUWe0gr1NVaWtry0wixMbGBitWrBA2G//o4MGDWL58uVyPMUDI965nz55IS0vDnj170LhxYwCC1gHjx4+HiYkJLl68iAsXLmDRokV4/Pgxy9ESIt+ohQAhhNRCW7ZsYTsEUgvJUg4/NTUVrVu3rrK8devWctGE+Nq1a7h27RoyMjKqzKCxb98+lqKSPB6PB39/f8TGxoLD4aBhw4bo3bs3FBUV2Q6N1KC9e/dixIgRaNq0qXBMFC6Xi44dO2Lv3r0AAE1NTWzcuJHNMAkhoIQAIYTUSqNGjWI7BEIkqn79+jh58mSVmRVOnDiBBg0asBSVdKxYsQK//PILmjVrBlNTU7kZTPHFixfo0aMHUlJS4ODgAIZhEB8fD0tLS1y6dEk4+Bz5/pmYmCAoKAjPnz9HfHw8GIaBo6OjyJSyXxo7hRAiPdRlgBBCaqnExETs378fiYmJ2Lp1K4yNjREQEABLS0s4OzuzHR6r5LXLgCzV+/Tp0xg0aBA6deoEDw8PcDgchIeH49q1azh58iT69u3LdogSY2pqivXr18v84Imf69GjBxiGwZEjR6Cvrw8AyM7OxvDhw6GgoIBLly6xHCEhhMgfaiFACCG1UFhYGLp37w4PDw/cuHEDq1evhrGxMWJiYrBnzx65n6ZJXu6oyrJ+/frh3r172LRpE/z9/cEwDJycnHDv3j1hn2NZVV5eLra7hKwLCwvDnTt3hMkAADAwMMC6devg4eHBYmSkpvF4PBw4cKDabjGyOnMKId8jSggQQkgttGDBAqxatQqzZs2ClpaWcLmXlxe2bt3KYmS1g7w2bpOlRMiwYcPQvn17LF26FPb29myHI1Xjxo3D0aNHsWTJErZDkSoVFRWxo8oXFRVBWVmZhYiIpMyYMQMHDhxAz5494eLiIlPHLkJkDSUECCGkFnr8+DGOHj1aZbmRkRGys7NZiEg6OnToIHYe9oKCAvTp00d4V0lep6qSpUTIxwHFJk2ahLp166Jdu3Zo164d2rdvD0dHR7bDk6iysjLs2rULwcHBcHNzEw669tGmTZtYikyyevXqhQkTJmDv3r1o0aIFAODu3buYNGkSvL29WY6O1KTjx4/j5MmT6NGjB9uhEEK+ghIChBBSC+nq6iI1NRU2NjYiyyMjI4Vzd8ui0NBQlJeXV1leVlaGmzdvshCR5HG5XKiqqiIqKgouLi5fLPvs2TOYmZlJKTLJ2rlzJwAgLS0NoaGhCA0NxdatWzFlyhQYGxvL9EwDMTExcHd3BwA8efJE5DlZvpO6bds2jBo1Cq1atRIZed7b25taPskYZWVl1K9fn+0wCCHfgBIChBBSCw0dOhTz58/HqVOnwOFwwOfzERERgTlz5lSZt10WxMTECP9/9uwZ0tLShI95PB4CAgJkNhGipKQEKysr8Hi8r5a1tLSUQkTSpaWlBT09Pejp6UFXVxdKSkowMTFhOyyJun79OtshsEJXVxfnzp3DixcvEBsbKxw3gn44yp7Zs2dj69at+OOPP2Q6yUWILKBZBgghpBaqqKjA6NGjcfz4cTAMAyUlJfB4PAwdOhQHDhyQuTm7FRQUhBeN4k5Lampq+P333/HTTz9JOzSp2L9/P06dOoXDhw+LDLgmy+bPn4+wsDBER0fDxcUFnp6eaNeuHTw9Pat0GZFVL168QGJiIjw9PaGmpgaGYejHE5EJffv2xfXr16Gvrw9nZ+cq3WLOnDnDUmSEkM9RQoAQQmqxxMREREZGgs/no3HjxjI7P3tycjIYhoGtrS3u3bsHIyMj4XPKysowNjaWuSTIpxo3bowXL16goqICVlZW0NDQEHn+0aNHLEUmOQoKCjAyMoKvry969+6Nhg0bsh2S1GRnZ2PgwIG4fv06OBwOEhISYGtri7Fjx0JXVxcbN25kO0SJ6N+/P5o1a4YFCxaILN+wYQPu3buHU6dOsRQZqWljxoz54vP79++XUiSEkK+hhAAhhNRyHw/Tsn7nsKKiAuPHj8fSpUtha2vLdjhStWLFii8+v2zZMilFIj3R0dEICwtDaGgobt68CUVFReGggu3bt5fpBMHIkSORkZGBPXv2oGHDhoiOjoatrS0CAwPh6+uLp0+fsh2iRBgZGSEkJASurq4iyx8/foxOnTohPT2dpcgIIUR+UUKAEEJqqb1792Lz5s1ISEgAADRo0AAzZ87EuHHjWI5McvT09PDw4UO5SwgQQYJgy5YtOHz4MPh8/jeNqfC9MjExwdWrV9GoUSNoaWkJEwKvXr2Cq6srioqK2A5RItTU1BAVFQUHBweR5c+fP0fjxo1RWlrKUmSEECK/aFBBQgiphZYsWYLNmzdj2rRpaNWqFQDg9u3b8PX1RVJSElatWsVyhJLRp08f+Pv7Y9asWWyHInV5eXnw8/NDYmIi5s6dC319fTx69Ah169aV2QEVIyMjhTMM3Lx5EwUFBXB3d4eXlxfboUlUcXEx1NXVqyzPysqCiooKCxFJh4uLC06cOIGlS5eKLD9+/DicnJxYiorUlCZNmuDatWvQ09ND48aNv9iqTRa7QRHyvaKEACGE1ELbt2/H7t27MWTIEOEyb29vuLm5Ydq0aTKbEKhfvz5WrlyJW7duoWnTplX60k+fPp2lyCQrJiYGnTp1go6ODpKSkjB+/Hjo6+vj7NmzSE5OxqFDh9gOscbp6emhqKgIjRo1Qvv27TF+/Hh4enpCW1ub7dAkztPTE4cOHcLKlSsBQDiTyIYNG2Q6GbJkyRL069cPiYmJ6NChAwDg2rVrOHbsGI0fIAN69+4tTGj17t1b5ru5ESIrqMsAIYTUQnp6erh3716VQQTj4+PRokUL5OXlsROYhNnY2FT7HIfDwcuXL6UYjfR06tQJTZo0wfr160WakN+6dQtDhw5FUlIS2yHWuIsXL8pNAuBzz549Q/v27dG0aVOEhITA29sbT58+RU5ODiIiImBnZ8d2iBJz6dIlrPl/e3cfVHP6/3H8dfJNSUrKTWjUKSo3By3lbnMXcltqyBYW5f5u2WoxK19mtaNxk213DIOIrWXdpo3cnLC52Wa6kbtiS+UuwkZbJ9I5vz+sxpHd9f3pnOs45/WYMZPL+eM5zOScd9fnuiIjkZ2djUaNGkEmk2HFihXo37+/6DTSEt6mQaRbOBAgItJB8+fPh7GxMdavX6+2HhoaCoVCgR9++EFQGWmCpaUlMjMz4ejoqDYQKCoqgrOzM6qqqkQnUj0rKSnBpk2bkJGRAaVSCTc3N8ydOxe2trai04g+2LfffoulS5fWWa+pqcHEiRORkJAgoIqI3oWPDBAR6aht27bh+PHj6NWrFwDg4sWLuH37NiZPnqz2jP3bQwP6+JiamuLZs2d11vPy8tSuYCT90apVq3+9XYLoYxUdHQ1ra2vMmDGjdq2mpgYTJkzAlStXBJYR0ds4ECAi0kFXrlyBm5sbACA/Px/Aqyu7mjdvrvZmSh+3Xd65cweJiYkoLi7Gixcv1P5MX4cfPj4+WLVqFfbu3Qvg1b9rcXExlixZAn9/f8F1VB9ycnLe+7UymUyDJeIYGRn94/csfb5ZwtAkJyfDy8sLTZs2xfjx41FdXY2AgADk5uYiNTVVdB4RvYGPDBARkc44deoUxowZAwcHB+Tl5aFz584oLCyESqWCm5sb5HK56ESNePbsGUaMGIGrV6+ivLwcrVu3RklJCXr37o3k5OQ6hyvSx+f1h+G3n59+/TbszTV9/WB8+PBhtd9XV1cjKysLO3fuxMqVKxEcHCyojDTh9OnT8PHxQVxcHLZt24b8/HzI5XK0bNlSdBoRvYEDASIiHbRjxw4EBASgUaNGolO0yt3dHd7e3li1alXts/QtWrRAUFAQvL29MXv2bNGJGiWXy5GZmVn7TLmXl5foJKonRUVFtV9nZWUhNDQUYWFhateKrlu3DlFRUfD19RVUKUZ8fDz27NlTZ2BAH7/ExET4+/vD1dUVcrkcNjY2opOI6C0cCBAR6SBbW1tUVFRg3LhxCA4ORp8+fUQnaUWTJk2QnZ0NR0dHWFlZIS0tDZ06dcKlS5fg4+Ojl6ftA0BhYSHs7e1FZ5CWuLu747///S9GjBihtp6cnIzly5cjIyNDUJkY+fn5kMlkqKioEJ1CH8DPz++d6xcvXoSTk5PaMODAgQPayiKif2EkOoCIiOq6c+cOdu/ejT/++AMDBw6Ei4sL1qxZg5KSEtFpGtW4cWM8f/4cANC6deva8xMA4NGjR6KyNE4qlaJfv37YvHkznjx5IjqHNOzy5cvvvGLTwcEB165dE1AkjkKhQExMDNq2bSs6hT6QpaXlO38NGzYMjo6OamtEpDu4Q4CISMc9fPgQu3fvxo4dO5Cbmwtvb28EBwdj9OjRMDLSr7mur68vRo4cienTpyM8PBwHDx7ElClTcODAAVhZWeHkyZOiEzUiMzMTCQkJ+Omnn1BaWophw4Zh4sSJGDNmDExMTETnUT1zc3ODq6srtm3bBlNTUwDA8+fPMW3aNFy/fh2ZmZmCCzXDysqqzvkJ5eXlMDMzw+7duzFmzBiBdUREhokDASKij8Bvv/2G7du3Y+fOnbC1tUVZWRmaNm2K2NhYDBgwQHRevSkoKMCff/4JmUyGyspKhIaGIi0tDU5OTtiwYQPatWsnOlGjVCoVTp8+jfj4eOzfvx81NTXw9/fH9u3bRadRPUpPT8fo0aOhVCrRtWtXAMClS5cgkUiQlJQEd3d3wYWasWPHDrWBgJGREZo3bw4PDw9YWVkJLCNNKS0tRV5eHiQSCTp06MBrVIl0EAcCREQ66sGDB9i1axdiY2NRUFAAX19fBAcHw8vLCwqFAl9//TX27dundlgZ6Y/MzEwEBwcjJydHb0+dN2SVlZXYvXs3cnNzoVKp0LFjRwQGBvJGCdILFRUVmD9/PuLi4qBUKgEADRo0wOTJkxETEwMzMzPBhUT0GgcCREQ6aPTo0UhJSUGHDh0QEhKCyZMno1mzZmqvuXfvHtq2bVv7ZktflJWVYd++fcjPz0dYWBiaNWuGzMxMtGzZEm3atBGdp1G3b99GQkIC4uPjcfnyZfTu3RtBQUF6f7sC6a+cnJz3fq1MJtNgCWnTzJkzcfLkSXz//ffo27cvACAtLQ0LFizAkCFDsGnTJsGFRPQaBwJERDooODgYISEhtVeSvYtKpUJxcbFebaPPycmBl5cXLC0tUVhYiLy8PEilUixfvhxFRUWIi4sTnagRW7ZswY8//oi0tDS4uLggKCgIgYGBvHlAjyQmJmL48OEwNjZGYmLiP75Wn56lNzIygkQiwb+93ZRIJNwJo0dsbGywb9++Oo+0paamYvz48SgtLRUTRkR1cCBARKSjTp06hVOnTuHhw4d1dgHo6zPlXl5ecHNzQ1RUFJo0aYJLly5BKpXi/PnzCAwM1NtrB+3s7DBhwgQEBQWhW7duonNIA4yMjFBSUoIWLVr842Gg+vbB+H95pEmfhpuGzszMDBkZGXB1dVVbv3r1Ktzd3XnFJJEO4UCAiEgHrVq1CitXrkSPHj1ga2urdhAXABw8eFBQmWZZWloiMzMTjo6OagOBoqIiODs7o6qqSnSiRqhUKqSlpWHz5s0oKCjAzz//jDZt2mDXrl1wcHBAv379RCcSEb23wYMHw9raGnFxcbU3aSgUCnz++ed48uSJ3t4YQ/Qx+o/oACIiqmvTpk3YsWMHJk2aJDpFq0xNTfHs2bM663l5eXp9OvWBAwcwadIkBAUFITMzE8+fPwcAlJeXIzIyEsnJyYILSdNe3xyiz/7uUQmJRAJTU1M4OTnBwcFBy1WkCRs3boS3tzfatm2Lrl27QiKRIDs7G6ampkhJSRGdR0Rv4A4BIiIdZG1tjfT0dDg6OopO0aoZM2agtLQUe/fuRbNmzZCTk4MGDRrA19cXnp6eiI6OFp2oEd27d8eiRYswefJktZ0R2dnZ8Pb2RklJiehEqkdr1qyBvb09AgICAADjxo3D/v37YWtri+Tk5NqrCPXN350n8HpNIpGgX79+OHToEK8h1AMKhaLOTRpBQUFo1KiR6DQiesPfP8RGRETChISEID4+XnSG1q1duxalpaVo0aIFFAoF+vfvDycnJ5ibm2P16tWi8zQmLy8Pnp6eddYtLCxQVlam/SDSqM2bN8POzg4AcOLECZw8eRLHjh3D8OHDERYWJrhOc06cOIGePXvixIkTePr0KZ4+fYoTJ07A3d0dSUlJOHv2LB4/fozQ0FDRqVQPGjVqhOnTp2PdunVYv349QkJCOAwg0kF8ZICISEcsXry49mulUoktW7bg5MmTkMlkMDY2Vnvt+vXrtZ2nFRYWFkhLS0NqaioyMjKgVCrh5uYGLy8v0WkaZWtri99//73OrQJpaWmQSqViokhj7t+/XzsQSEpKwvjx4zF06FDY29vDw8NDcJ3mLFy4EFu2bEGfPn1q1wYPHgxTU1PMmDEDV69eRXR0NKZNmyawkurL3bt3ce7cuXcejLtgwQJBVUT0Ng4EiIh0RFZWltrvX582f+XKFbX1tw8Y1Ddv366Qm5tbu1tCX29XmDlzJhYuXIjt27dDIpHg3r17uHDhAkJDQxERESE6j+qZlZUVbt++DTs7Oxw7dgzffPMNgFeHS+rTDQNvy8/Ph4WFRZ11CwsLFBQUAADat2+PR48eaTuN6llsbCxmzZqFhg0bwtraWu3/LYlEwoEAkQ7hQICISEekpqaKThBu5cqVWLVq1d/erqCvwsPD8fTpUwwcOBBVVVXw9PSEiYkJQkNDMW/ePNF5VM/8/PwQGBiI9u3b4/Hjxxg+fDgAIDs7G05OToLrNOeTTz5BWFgY4uLiag8JLS0tRXh4OHr27AkAuHnzJtq2bSsyk+pBREQEIiIisHTp0n+8ZpOIxOOhgkREpDNsbW0RFRVlcLcrvFZZWYlr165BqVSiY8eOMDc3F51EGlBdXY2NGzfi9u3bmDJlCrp37w4AiI6Ohrm5OUJCQgQXakZeXh58fHxw69Yt2NnZQSKRoLi4GFKpFIcPH0aHDh1w6NAhlJeXG+z3AH1hqAfjEn2MOBAgIiKdwTeRRPpNpVIhJSUFN27cgEqlgouLC4YMGcKfIuuZ8PBwNGvWDEuWLBGdQkT/ggMBIiLSGV999RXMzc2xfPly0SlEGrVr1y5s3rwZBQUFuHDhAtq1a4fo6Gg4ODjAx8dHdJ5QXbp0QXJycu3Bi/TxqampwahRo6BQKNClSxeDORiX6GPEMwSIiEgo3q5AhmbTpk2IiIjAF198gdWrV9ceJNi0aVNER0cb/ECgsLAQ1dXVojPoA0RGRiIlJQXOzs4AUOdQQSLSHdwhQEREQg0cOPC9XieRSCCXyzVcQ6R5HTt2RGRkJHx9fdGkSRNcunQJUqkUV65cwYABAwz+lP03/07o42RlZYUNGzZgypQpolOI6F9whwAREQnF2xXI0Ny6dav2IME3mZiYoKKiQkARUf0yMTFB3759RWcQ0XvgCS5EREREWuTg4IDs7Ow660ePHoWrq6v2g4jq2cKFCxETEyM6g4jeA3cIEBEREWlRWFgY5s6di6qqKqhUKqSnpyMhIQGRkZHYtm2b6DyiD5aeng65XI6kpCR06tSpznkwBw4cEFRGRG/jQICIiIhIi6ZOnYqXL18iPDwclZWVCAwMRJs2bRATE4NPP/1UdB7RB2vatCn8/PxEZxDRe+ChgkRERESCPHr0CEqlEjU1NYiMjMTWrVuhUChEZwkVHx8PHx8fNG7cWHQK/T8pFAoolcraf8PCwkIcOnQIrq6uGDZsmOA6InoTBwJEREREWlBWVoa5c+fi+PHjMDY2xpIlSzBv3jysXLkSa9euRceOHbF48WJ89tlnolM14rvvvnvnukQigampKZycnODp6YkGDRpouYzq29ChQ+Hn54dZs2ahrKwMLi4uMDY2xqNHj7B+/XrMnj1bdCIR/YUDASIiIiItmDNnDo4cOYKAgAAcO3YM169fx7Bhw1BVVYUVK1agf//+ohM1ysHBAaWlpaisrISVlRVUKhXKyspgZmYGc3NzPHz4EFKpFKmpqbCzsxOdSx/AxsYGZ86cQadOnbB161bExMQgKysL+/fvR0REBK5fvy46kYj+wlsGiIiIiLTgl19+QWxsLNauXYvExESoVCp06NABcrlc74cBABAZGYmePXvi5s2bePz4MZ48eYIbN27Aw8MDGzduRHFxMVq1aoVFixaJTqUPVFlZiSZNmgAAjh8/Dj8/PxgZGaFXr14oKioSXEdEb+IOASIiIiItMDY2RlFREVq3bg0AMDMzQ3p6Ojp37iy4TDscHR2xf/9+dOvWTW09KysL/v7+KCgowPnz5+Hv74/79++LiaR6IZPJEBISgrFjx6Jz5844duwYevfujYyMDIwcORIlJSWiE4noL9whQERERKQFSqVS7fq1Bg0aGNTBeffv38fLly/rrL98+bL2A2Lr1q1RXl6u7TSqZxEREQgNDYW9vT08PDzQu3dvAK92C3Tv3l1wHRG9iTsEiIiIiLTAyMgIw4cPh4mJCQDgyJEjGDRoUJ2hgL7e0f76J8Nbt26t/VCYlZWF6dOno1WrVkhKSsKRI0ewbNkyXL58WXAtfaiSkhLcv38fXbt2hZHRq59Bpqenw8LCAi4uLoLriOg1DgSIiIiItGDq1Knv9brY2FgNl4hRUlKCSZMm4dSpU7U7JV6+fInBgwdj165daNmyJVJTU1FdXY2hQ4cKriUiMgwcCBARERGR1uTm5uLGjRtQqVRwcXGBs7Oz6CQiIoPFgQARERERadyZM2cM4jYFIqKPCQcCRERERKRxDRs2RKtWrRAYGIiJEycazO0KRES6jLcMEBEREZHG3bt3D+Hh4fj1118hk8kgk8kQFRWFO3fuiE4jIjJY3CFARERERFp169YtxMfHIyEhAbm5ufD09IRcLhedRURkcDgQICIiIiKtq6mpwdGjR7F8+XLk5OSgpqZGdBIRkcHhIwNEREREpDXnzp3DnDlzYGtri8DAQHTq1AlJSUmis4iIDBJ3CBARERGRxi1btgwJCQm4e/cuhgwZgqCgIPj6+sLMzEx0GhGRweJAgIiIiIg0rk+fPggKCkJAQABsbGxE5xARETgQICIiIiItunbtGoqLi/HixQu19TFjxggqIiIyXP8RHUBERERE+u/WrVsYO3YscnJyIJFI8PpnUhKJBAB4qCARkQA8VJCIiIiING7BggWwt7fHgwcPYGZmhqtXr+Ls2bPo0aMHTp8+LTqPiMgg8ZEBIiIiItI4GxsbyOVyyGQyWFpaIj09Hc7OzpDL5fjyyy+RlZUlOpGIyOBwhwARERERaVxNTQ3Mzc0BvBoO3Lt3DwDQrl075OXliUwjIjJYPEOAiIiIiDSuc+fOyMnJgVQqhYeHB6KiotCwYUNs2bIFUqlUdB4RkUHiIwNEREREpHEpKSmoqKiAn58fCgoKMGrUKOTm5sLa2hp79uzBoEGDRCcSERkcDgSIiIiISIgnT57Aysqq9qYBIiLSLg4EiIiIiIiIiAwQDxUkIiIiIiIiMkAcCBAREREREREZIA4EiIiIiIiIiAwQBwJEREREREREBogDASIiIiIiIiIDxIEAERERERERkQHiQICIiIiIiIjIAHEgQERERERERGSA/g/JIdGx3p5xIwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##Correlation heatmap\n",
    "numeric_df = df.select_dtypes(include=['float64', 'int64'])\n",
    "plt.figure(figsize=(12, 10))\n",
    "sns.heatmap(numeric_df.corr(), annot=True, cmap='coolwarm')\n",
    "plt.title('Correlation Heatmap')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "1cc7cb16-43e4-4f7f-a567-880fdfad3835",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of males: 0\n",
      "Number of females: 0\n"
     ]
    }
   ],
   "source": [
    "##Bar Chart\n",
    "gender_counts = df['gender'].value_counts()\n",
    "print(\"Number of males:\", gender_counts.get('Male', 0))\n",
    "print(\"Number of females:\", gender_counts.get('Female', 0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "18bdd066-032f-4e1f-98f7-72a452ac8d62",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 5))\n",
    "gender_counts.plot(kind='bar', color=['blue', 'pink'])\n",
    "plt.xticks([0, 1], ['Female (0)', 'Male (1)'], rotation=0)\n",
    "plt.title('Number of Males and Females in Heart Disease Dataset')\n",
    "plt.xlabel('Gender')\n",
    "plt.ylabel('Count')\n",
    "plt.grid(axis='y')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "06654cb5-1061-4e1d-a787-5f66ea852374",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##Pie chart\n",
    "import matplotlib.pyplot as plt      \n",
    "smoking_counts = df['smoking_status'].value_counts()\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.pie(smoking_counts, labels=smoking_counts.index, autopct='%1.1f%%', startangle=90)\n",
    "plt.title('Distribution of Smoking Status')\n",
    "plt.axis('equal') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "93b348ab-bf0c-4397-a61c-74b27f8b9bf3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x500 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##Box Plot\n",
    "plt.figure(figsize=(8, 5))\n",
    "df.boxplot(column='avg_glucose_level', by='heart_disease', grid=False)\n",
    "\n",
    "plt.title('Average Glucose Level by Heart Disease')\n",
    "plt.suptitle('')\n",
    "plt.xlabel('Heart Disease')\n",
    "plt.ylabel('Average Glucose Level')\n",
    "plt.xticks([1, 2], ['No Disease (0)', 'Disease (1)'])\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "b2b341ca-d74a-427f-82aa-412c0991c9ea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##Scatter Plot\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.scatter(df['age'], df['bmi'], alpha=0.8, color='teal')\n",
    "plt.title('Age vs. bmi')\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Average bmi')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "e6a7f60e-27d0-41eb-9fb2-1c354720a709",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##Histogram\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.hist(df['age'], bins=20, color='skyblue', edgecolor='black')\n",
    "plt.title('Age Distribution by Heart Disease')\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Frequency')\n",
    "plt.grid(axis='y')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "44722c69-a609-4c6d-a75a-f9dfa4073ab0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##Line graph\n",
    "age_grouped = df.groupby('age')['avg_glucose_level'].mean().reset_index()\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(age_grouped['age'], age_grouped['avg_glucose_level'], marker='o', linestyle='-', color='teal')\n",
    "plt.title('Average Glucose Level by Age')\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Average Glucose Level')\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0293ea48-1d2c-4283-9a88-3aa9a42054cb",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}