diff --git "a/EDA-NOTEBOOK.ipynb" "b/EDA-NOTEBOOK.ipynb"
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+++ "b/EDA-NOTEBOOK.ipynb"
@@ -0,0 +1,710 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "25ee82f2",
+   "metadata": {},
+   "source": [
+    " # <h1 style='background:#fff; border:5; color:black'><center>Machine Learning Classification Project <br> For The Diabeties analysis</center></h1>\n",
+    "   <a id='top'></a>\n",
+    "<div class=\"list-group\" id=\"list-tab\" role=\"tablist\">\n",
+    "<h1 style='background:; border:0; color:black'><center>INDEX</center></h1>\n",
+    "\n",
+    "[1. ENVIRONMENT SETUP](#1)   \n",
+    "    \n",
+    "[2. EXPLORATORY DATA ANALYSIS](#2)  \n",
+    "    \n",
+    "\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4bf22b7e",
+   "metadata": {},
+   "source": [
+    "# **2.Environment Setup**\n",
+    "<a id=\"2\"></a>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "67b954aa",
+   "metadata": {},
+   "source": [
+    "**1.Importing Libraries**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "6219ac96",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.metrics import accuracy_score\n",
+    "from sklearn import svm\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0fb60e98",
+   "metadata": {},
+   "source": [
+    "#### **2. Loading the Dataset**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "16859c5b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = pd.read_csv('diabetes.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "69c54515",
+   "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>Pregnancies</th>\n",
+       "      <th>Glucose</th>\n",
+       "      <th>BloodPressure</th>\n",
+       "      <th>SkinThickness</th>\n",
+       "      <th>Insulin</th>\n",
+       "      <th>BMI</th>\n",
+       "      <th>DiabetesPedigreeFunction</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Outcome</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>6</td>\n",
+       "      <td>148</td>\n",
+       "      <td>72</td>\n",
+       "      <td>35</td>\n",
+       "      <td>0</td>\n",
+       "      <td>33.6</td>\n",
+       "      <td>0.627</td>\n",
+       "      <td>50</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>85</td>\n",
+       "      <td>66</td>\n",
+       "      <td>29</td>\n",
+       "      <td>0</td>\n",
+       "      <td>26.6</td>\n",
+       "      <td>0.351</td>\n",
+       "      <td>31</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>8</td>\n",
+       "      <td>183</td>\n",
+       "      <td>64</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>23.3</td>\n",
+       "      <td>0.672</td>\n",
+       "      <td>32</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>89</td>\n",
+       "      <td>66</td>\n",
+       "      <td>23</td>\n",
+       "      <td>94</td>\n",
+       "      <td>28.1</td>\n",
+       "      <td>0.167</td>\n",
+       "      <td>21</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>137</td>\n",
+       "      <td>40</td>\n",
+       "      <td>35</td>\n",
+       "      <td>168</td>\n",
+       "      <td>43.1</td>\n",
+       "      <td>2.288</td>\n",
+       "      <td>33</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Pregnancies  Glucose  BloodPressure  SkinThickness  Insulin   BMI  \\\n",
+       "0            6      148             72             35        0  33.6   \n",
+       "1            1       85             66             29        0  26.6   \n",
+       "2            8      183             64              0        0  23.3   \n",
+       "3            1       89             66             23       94  28.1   \n",
+       "4            0      137             40             35      168  43.1   \n",
+       "\n",
+       "   DiabetesPedigreeFunction  Age  Outcome  \n",
+       "0                     0.627   50        1  \n",
+       "1                     0.351   31        0  \n",
+       "2                     0.672   32        1  \n",
+       "3                     0.167   21        0  \n",
+       "4                     2.288   33        1  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "13ee9b68",
+   "metadata": {},
+   "source": [
+    "#### **3. Inspecting the Dataset**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "371e92a1",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dataset shape: (768, 9)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Checking the shape of the dataset\n",
+    "print(\"Dataset shape:\", data.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "847cdb6e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 768 entries, 0 to 767\n",
+      "Data columns (total 9 columns):\n",
+      " #   Column                    Non-Null Count  Dtype  \n",
+      "---  ------                    --------------  -----  \n",
+      " 0   Pregnancies               768 non-null    int64  \n",
+      " 1   Glucose                   768 non-null    int64  \n",
+      " 2   BloodPressure             768 non-null    int64  \n",
+      " 3   SkinThickness             768 non-null    int64  \n",
+      " 4   Insulin                   768 non-null    int64  \n",
+      " 5   BMI                       768 non-null    float64\n",
+      " 6   DiabetesPedigreeFunction  768 non-null    float64\n",
+      " 7   Age                       768 non-null    int64  \n",
+      " 8   Outcome                   768 non-null    int64  \n",
+      "dtypes: float64(2), int64(7)\n",
+      "memory usage: 54.1 KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Displaying basic info about the dataset\n",
+    "data.info()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "bcf96247",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Pregnancies                 0.0\n",
+       "Glucose                     0.0\n",
+       "BloodPressure               0.0\n",
+       "SkinThickness               0.0\n",
+       "Insulin                     0.0\n",
+       "BMI                         0.0\n",
+       "DiabetesPedigreeFunction    0.0\n",
+       "Age                         0.0\n",
+       "Outcome                     0.0\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "# Checking for missing values\n",
+    "data.isnull().sum()/data.shape[0]*100\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "72eb2b29",
+   "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>Pregnancies</th>\n",
+       "      <th>Glucose</th>\n",
+       "      <th>BloodPressure</th>\n",
+       "      <th>SkinThickness</th>\n",
+       "      <th>Insulin</th>\n",
+       "      <th>BMI</th>\n",
+       "      <th>DiabetesPedigreeFunction</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Outcome</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>768.000000</td>\n",
+       "      <td>768.000000</td>\n",
+       "      <td>768.000000</td>\n",
+       "      <td>768.000000</td>\n",
+       "      <td>768.000000</td>\n",
+       "      <td>768.000000</td>\n",
+       "      <td>768.000000</td>\n",
+       "      <td>768.000000</td>\n",
+       "      <td>768.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>3.845052</td>\n",
+       "      <td>120.894531</td>\n",
+       "      <td>69.105469</td>\n",
+       "      <td>20.536458</td>\n",
+       "      <td>79.799479</td>\n",
+       "      <td>31.992578</td>\n",
+       "      <td>0.471876</td>\n",
+       "      <td>33.240885</td>\n",
+       "      <td>0.348958</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>3.369578</td>\n",
+       "      <td>31.972618</td>\n",
+       "      <td>19.355807</td>\n",
+       "      <td>15.952218</td>\n",
+       "      <td>115.244002</td>\n",
+       "      <td>7.884160</td>\n",
+       "      <td>0.331329</td>\n",
+       "      <td>11.760232</td>\n",
+       "      <td>0.476951</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.078000</td>\n",
+       "      <td>21.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>99.000000</td>\n",
+       "      <td>62.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>27.300000</td>\n",
+       "      <td>0.243750</td>\n",
+       "      <td>24.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>117.000000</td>\n",
+       "      <td>72.000000</td>\n",
+       "      <td>23.000000</td>\n",
+       "      <td>30.500000</td>\n",
+       "      <td>32.000000</td>\n",
+       "      <td>0.372500</td>\n",
+       "      <td>29.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>6.000000</td>\n",
+       "      <td>140.250000</td>\n",
+       "      <td>80.000000</td>\n",
+       "      <td>32.000000</td>\n",
+       "      <td>127.250000</td>\n",
+       "      <td>36.600000</td>\n",
+       "      <td>0.626250</td>\n",
+       "      <td>41.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>17.000000</td>\n",
+       "      <td>199.000000</td>\n",
+       "      <td>122.000000</td>\n",
+       "      <td>99.000000</td>\n",
+       "      <td>846.000000</td>\n",
+       "      <td>67.100000</td>\n",
+       "      <td>2.420000</td>\n",
+       "      <td>81.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Pregnancies     Glucose  BloodPressure  SkinThickness     Insulin  \\\n",
+       "count   768.000000  768.000000     768.000000     768.000000  768.000000   \n",
+       "mean      3.845052  120.894531      69.105469      20.536458   79.799479   \n",
+       "std       3.369578   31.972618      19.355807      15.952218  115.244002   \n",
+       "min       0.000000    0.000000       0.000000       0.000000    0.000000   \n",
+       "25%       1.000000   99.000000      62.000000       0.000000    0.000000   \n",
+       "50%       3.000000  117.000000      72.000000      23.000000   30.500000   \n",
+       "75%       6.000000  140.250000      80.000000      32.000000  127.250000   \n",
+       "max      17.000000  199.000000     122.000000      99.000000  846.000000   \n",
+       "\n",
+       "              BMI  DiabetesPedigreeFunction         Age     Outcome  \n",
+       "count  768.000000                768.000000  768.000000  768.000000  \n",
+       "mean    31.992578                  0.471876   33.240885    0.348958  \n",
+       "std      7.884160                  0.331329   11.760232    0.476951  \n",
+       "min      0.000000                  0.078000   21.000000    0.000000  \n",
+       "25%     27.300000                  0.243750   24.000000    0.000000  \n",
+       "50%     32.000000                  0.372500   29.000000    0.000000  \n",
+       "75%     36.600000                  0.626250   41.000000    1.000000  \n",
+       "max     67.100000                  2.420000   81.000000    1.000000  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Getting summary statistics of numerical columns\n",
+    "data.describe()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "577c6104",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Numerical columns:  ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age']\n",
+      "Categorical columns:  ['Outcome']\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Separating numerical and categorical columns\n",
+    "\n",
+    "numerical_cols = []\n",
+    "cat_col = []\n",
+    "\n",
+    "for col in data.columns:\n",
+    "    if (data[col].nunique()<5) or col=='zodiac_sign':\n",
+    "        cat_col.append(col)\n",
+    "    else:\n",
+    "        numerical_cols.append(col)\n",
+    "        \n",
+    "print('Numerical columns: ', numerical_cols)\n",
+    "print('Categorical columns: ', cat_col)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e17b857c",
+   "metadata": {},
+   "source": [
+    "# **2.Exploratory Data Analysis (EDA)**\n",
+    "<a id=\"2\"></a>\n",
+    "\n",
+    "1.  Univariate Analysis: Histograms, boxplots for numerical features.\n",
+    "2.  Bivariate Analysis: correlation heatmap\n",
+    "3.  Categorical Feature Analysis:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "247b8408",
+   "metadata": {},
+   "source": [
+    "**1-Univariate Analysis: Histograms, boxplots for numerical features.**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "978ba00f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x720 with 9 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Histogram for numerical columns\n",
+    "data[numerical_cols].hist(bins=20, figsize=(15, 10))\n",
+    "plt.show()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "4a0d37e4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x864 with 8 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axes = plt.subplots(2, 4, figsize=(20,12))\n",
+    "fig.subplots_adjust(hspace=0.5, wspace=0.5)\n",
+    "\n",
+    "for i, col in enumerate(numerical_cols):\n",
+    "    row, col_num = divmod(i, 4)\n",
+    "    sns.histplot(data=data, x=col, kde=True, ax=axes[row, col_num])\n",
+    "    axes[row, col_num].set_title(col)\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6dd75fd4",
+   "metadata": {},
+   "source": [
+    "#### **Boxplot for outliers detection**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "cd897609",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Boxplot for detecting outliers\n",
+    "plt.figure(figsize=(15, 6))\n",
+    "sns.boxplot(data=data[numerical_cols])\n",
+    "plt.xticks(rotation=90)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c09e76c8",
+   "metadata": {},
+   "source": [
+    "**2-Categorical Feature Analysis:Count plot**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "8571e963",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Countplot for the target column\n",
+    "sns.countplot(x='Outcome', data=data)\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff464d25",
+   "metadata": {},
+   "source": [
+    " **3-Bivariate Analysis: correlation heatmap**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "80c23c04",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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h/eIY0ieOyEgjNtrDzb9uyT9f2XlwN66BaJGazM7Myt/qzsxs0lOqN0+Pj62sXI8c1IeHX3iTnLwCFq5cxzc/LOa7BUspKSujsHgPd//7Zf56wyX1Fv+hypSJlJ/pM+BaM/vKOVdmZj2ArcAM4BIzexloDhwLvHaAdSUFlwW4tA7fPRN40sw6723OWks28nPgBuBRADMb6JxbYGZdnXOLCfTrPALoRaA5bQXn3HhgPMDkyJ5N4862CdiaCakJRnIc5BVDn44e3v+2bn1yYpsFBtcpKYMIL3Rp5eHbZY0/s7M/27IgJQGS4gKVx94djA9n1m1/TF3smLo48LPq0BxG9PI0mQokwMQvdjPxi90AjBiUxJljW/D1d1kc1i2OwiJftaasey1Yms8xI1KYOjObscek8d33OQDsyihlcN9ElqwsIDkpgvato9m+K/Dc7darO7Jx2x7e/bhx30xO+jKDSV9mADB8QCJnjmnO1FnZ9OoaG9iftdyEL1yezzHDk5k6K4cxR6Ux84fKJgWxMR769YqvVkF84a3tvPDWdgD694pn3CktGm0FEmD9tjJapnlJT/aQne9nRN9onnm3erOLBStLOH54LLOX7KFru0iKS9yPNmUFyMn306tTJCs2lHFY5yh2ZjbuPpGfTM/lk+mB/TakTyynHJPMjO8L6NEpmqJif7WmrHstWVXEkYPimfF9AceNSGTOosADkVbpkezICJwburRrRkSEkV/oZ8LETCZMDPSt6NM9hl8cn9JkKpAAvbt2ZNOO3WzdlUGL1GS+mPkDf73h0mplMnLySEtKwMxYumYDfudISojjhgvP5IYLzwQCI7hO+GiKKpBSQZXIg+t5An0ff7BAmnI38AvgXeB4YAmwCpgNHKjR3yMEmrP+DvjqQF/snNsdzBa+Z2YeYBcwZp9iNxGoaC4icCxMJzDK7M1mdhyBrOYy4JMDbmkDNfDVv5M2ajhR6SmMXj+N1fc9weYX3wl3WA2Wc/DJPD8Xj/ZiBgvW+tmdC0O6B56ofb/aERcNV53spVkkOGeM6AVPTfIRHwNnHuHFY4Emc8s2+lm9telUfPblHHz+g58LRgVel7JwXWBk1kFdA/ty/trAvrxsjCe4L2FYD2P8J35Km86I/gc0e34uwwcm8co/+1JS4ufRZzdUzHvgtu48/twGMrPLeP71Ldx5Y1cuO68tazYU8cnXgUrThPe384drOvHcw73BjOde30Jefjl9e8Yz5ph01m0q4pm/9QbghTe3MmdB425/PWdhHsMHJvLSY70pKfXz2HOVFb37b+3C489vIiunnOff2MYd13fiknFtWLuxqNpgOSOHJvPDknz2lDTdh0R+P0z4ONB/0WPwzfw9bNvt47ihgYzO1/OKWbi6lP7dm/HITWmUlDn+82Hl0MzXnJNEr06RxMd6ePx36XzwdQHT5+/hxUl5XBx8bUhZObw4KW9/ITQ63y8tYkifOJ6+tyMlZY4nJlRW9O66tg1PvraT7Fwfr3yYwe8va81Fp6WxfnMJX84M7KMjBsZz7IgEfD4oLfPz9xe2h2tTGpQIr5fbLj2Pm/72JD6/44xjD6dr+9a8+8U3AJwz5mi+mj2fd774hgivl2ZRkTxw02W1Nh2WurMmMLqg1dZWWg4+M4t3zhWYWRowBxjpnNsR7rj+F8pEhs73Ly0NdwiNSkSELoKh9NUH88MdQqPiiWj8A9DUlzZd24Q7hEYlN6PpVF7rw8uXbwh3CI1G4uAxh8SF/fvjRtbbvfGQr78Nyz5RJjJ8PjKzZCAK+OuhWoEUEREREZFKTeE9kapEholz7thwxyAiIiIiIvJTNf4GuyIiIiIiIhIyykSKiIiIiIiEiKcJvOJDmUgRERERERGpM2UiRUREREREQqQpDKyjTKSIiIiIiIjUmTKRIiIiIiIiIWKexp+na/xbKCIiIiIiIiGjTKSIiIiIiEiIqE+kiIiIiIiISBXKRIqIiIiIiISI3hMpIiIiIiIiUoUykSIiIiIiIiGiPpEiIiIiIiIiVSgTKSIiIiIiEiJ6T6SIiIiIiIhIFcpEioiIiIiIhIj6RIqIiIiIiIhUoUqkiIiIiIiI1Jmas4qIiIiIiISImrOKiIiIiIiIVKFMpIiIiIiISIgoEykiIiIiIiJShTKRIiIiIiIiIWKexp+na/xbKCIiIiIiIiGjTKSIiIiIiEiIeLzqEykiIiIiIiJSQZlIERERERGRENHorCIiIiIiIiJVKBMpP9v3Ly0NdwiNxpBL+4Q7hEZl6RvLwx1Co9JrWPdwh9ConHtiZLhDaDTW7YoNdwiNyrad6eEOoVH5vKxruENoNMaFO4A60uisIiIiIiIiIlUoEykiIiIiIhIi6hMpIiIiIiIiUoUykSIiIiIiIiGiTKSIiIiIiIhIFapEioiIiIiISJ2pOauIiIiIiEiI6BUfIiIiIiIiIlUoEykiIiIiIhIiGlhHREREREREpAplIkVEREREREJEfSJFREREREREqlAmUkREREREJFRMfSJFREREREREKigTKSIiIiIiEiIanVVERERERESkCmUiRUREREREQkSjs4qIiIiIiIhUoUykiIiIiIhIiKhPpIiIiIiIiEgVykSKiIiIiIiEiPpEioiIiIiIiFShSqSIiIiIiIjUmZqzioiIiIiIhIgG1hERERERERGpQpVIERERERGREDGP1du/OsVjdpKZrTSzNWb2x1rmJ5nZJDNbaGZLzeyyA61TlUgREREREZFGyMy8wJPAyUBv4EIz671PseuBZc65AcCxwN/NLOrH1qs+kSIiIiIiIqHSsF7xMRxY45xbB2BmbwBnAsuqlHFAgpkZEA9kAeU/tlJVIhsQM2sJ/AM4HMgGSoFHgn/f6pw7LYzhNVhdWxsnDvXgMZi/xs+3y1y1+WmJcObhXlqlwtcL/cxcHpjv9cClY7x4veAxWL7JMW2xPxybcMjo/9yDtDjlWEp3ZTJ90OnhDqfB27LqG2Z99CB+v5+ew8YxYNRV1ebn7FrH9HfvIHPbMoaOvZl+R19eMe/NR44nslkc5vHi8Xg58/p36jv8BuGwThGMOzYajwe+W1zGF3NLapQZd1w0fTpHUFoGr35WxJZdgd/xX65IoKTM4feD3+945LVCAC47NYaWKV4AYpoZxSWOhyYU1N9GNRBLfviWN194FL/fz1En/IKTz7682vwFc77mw9efxszwer2cd/kf6H7YIMpKS3j0risoLyvF5/cx5IgTOOOCa8O0FQ3DuqXT+fKtB/D7/QwYeS5HnHR1tflLZ09k1ufPARDVLI6xF/2Zlu16kZe1nY9euo3CvAzMPAw46jyGHX9JODahQenSCsYO9mAGC9a5iuv2XmkJcNoID61SYOoix+yV1eebweVjPeQXwVvf6Lq+atE3TJ4QuBYNHTWOUadXvxYt+G4S0yc/D0CzZrGccem9tO7QC4Diwjzef+Fudm5ZjWGcfeX9dOg+qN63QX6WtsDmKp+3ACP2KfNvYCKwDUgAznfO/eiPR5XIBiJY8/8AeNk5d1FwWkfgDAKVSKmFGZw8zMOEr3zkFcGVJ3lZucVHRl5lmeIS+HSej57tqz8V8vnhlSk+ysoDlcjLxnpZsw22ZtbzRhxCtrz8HhuemsDAFx4OdygNnt/v47uJf+Wky/9DXGJLJj51Hh16HUdKy24VZZrFJnHE6XeycdmUWtdxypUvEx2XUl8hNzhmcN7oaP79biE5+Y4/XBzP4rVl7MiqvK717hxB82QPf3mhgE6tvVxwfAyPvV5YMf//3iqkcE/1G8wXJxdX/H3WMdEUl1af3xT4fT5ee+4hbrn3aVLSWvLgbRczYNgo2rTvWlGmV78RDBh2LGbGlg2rePbvt/PXJ94nIjKK3/1lPNExsZSXl/HInZfTd9BIuvTsH8YtCh+/38fnr9/HBb99kYSUlrz0t3F07z+a9DaVv/Wk9HZc/LsJRMclsXbJND6dcDeX/PFtPF4vo8f9kVYd+lCyp4CXHjyHzoeNrLZsU2MGJw318NrXfvKK4fIxHlZvddWv66Xw+Q9+eratvT/YsB5GRp6jWUTjHyHzQPx+H5Ne+SuX3fYfElNb8vS953HY4ONo0bbyGEtp3o6r7niFmLgkVi6czgcv3Mu1f34TgMkTHqR7v6O46Mb/o7y8lLKSPeHalENK4La+3r7raqDqk6vxzrnxVYvUsti+F74TgQXAaKAr8IWZfeOcy9t3wb0aVK61iRsNlDrnntk7wTm30Tn3RNVCZvZnM7u1yuclZtYp+PevzWxRsFPsq8FpHc1sSnD6FDPrEJx+bnDZhWY2PTjNa2aPmtncYPnfHPzN/nnapkF2viOnAPx+WLrRT8/21X8rRSWwLSswf19lwUS9x9PQWh40TFkz5lGWlRvuMA4Ju7csIjGtA4mp7fFGRNGl/ylsWv5VtTIx8Wk0b9cPj0fP82rTqZWXjBw/mbkOnx9+WFFG/66R1cr07xrBnGVlAGzY7iOmmZEYV/eL9+CekXy/oiykcR8K1q9ZQovW7Wneqh0RkZEMO+pEFs6ZWq1MdExsxY1QSUkxFrwPMTOiY2IB8PnK8ZWXB+78m6jtGxaR0qIjyc0Dv/Xew05l9aLqD4badR1MdFwSAG07DyQ/ewcA8UktaNWhDwDNouNJa9WF/Jyd9bsBDUybVMjKh5zCwHV72SZHj7Y1r+vbs8BXy/OfhBjo1sZYsLbpPRyqzZa1i0ht0YHUFu2JiIii/+GnsPyH6teijt0HERM8Pjt0G0Bu8PjcU1zAhpXzGDpqHAAREVHExCXW7wbIATnnxjvnhlb5N36fIluA9lU+tyOQcazqMuA9F7AGWA/0+rHv1Z1Lw9EH+OF/XdjM+gB3AiOdcxlmlhqc9W/gFefcy2Z2OfAv4BfAPcCJzrmtZpYcLHsFkOucG2ZmzYBvzexz59z6/zWugy0hxsgtqvycVwRt04yaD1hqZwZXneQlNQHmrnLKQkrIFOXuIi6pVcXn2KSW7N68qO4rMOPTF68AjF7Dz6fX8PNCH2QDlxRvZOdX/pazC/x0au2tViY53kN2fmUlMKfAkRzvIa/QhwNuOCcOB3y7qIRvF1evLHZt6yW/0M/unKbX3C0ncxepaS0rPientWT96iU1ys2f9RXv/fcJ8nOzuPHOf1VM9/t83P+Hi9i9YzPHnnQ+XXr0q5e4G6L87J0kpFT+1hOSW7Jt/f5/6wu/fYcufY+pMT0nYwu7Ni+nTecBByXOQ0VCDOQXVf7u84qhbeqPLLCPMYM9fLXAT1Tkgcs2BXnZu0hKqzw+E1Nbsnnt/o/PedPepUf/owHI2rWZ2MRU3n3uDnZsWkmbzr057Zd3ENUs9qDHfaizhpWZmAt0N7POwFbgAuCifcpsAo4Hvgl2r+sJrPuxlTaoLZRKZvZkMEs4t46LjAbecc5lADjnsoLTjwBeC/79KnBU8O9vgZfM7Cpg713ZWODXZrYAmA2kAd1/1oYcbD/z4bdzMP4TH/9430fbNGieFJqwRGp7kGE/4YA97Tev8Ysb3uPES8ezfNZrbF9f11NB41Hr3qrD8yHnAoX+8UYBD/+3gKfeK+Togc3o2rZ6BXRor0jmrWx6WUiofTfWtr8HHT6avz7xPtfd/jgfvv5UxXSP18s9j7/Jw899xvo1S9i6cc1Bi7Xhq2Vv7iczu3HlLBZ99w7HnXVrtemlewp5f/xNHH/eHTSLiT8YQR46atl1dc0pdmsDRXscO9QJqIL7Cdeidctm8/20dznpvN8DgYdF2zcsY8TxF3DD/e8R1SyWaZOeO6jxSug558qBG4DPgOXAW865pWZ2jZldEyz2V+BIM1sMTAFu31un2B9VIhuOpcDgvR+cc9cTeCLQfJ9y5VT//xYd/G9d028uuP5rgLsIpLcXmFlacB03OucGBv91ds59XttKzOxqM5tnZvPmfRW+E0p+kSOpygOxxFjIL/7pTVhKymDDLke3Nk23SZaEVmxSSwpzd1R8LsrdSWxiizovHxcsGxOfRsfeJ5CxZXHIY2zocgocKQmVv8mUeA+5BW6fMn5SEipPicnxRm5hoMze/xYUOxatKaNTq8pKpMdgQLdIfmiilciUtBZkZVY2m8zJ3Ely6r6Xm0o9+gxh944t5OdVvzuPjUugZ5+hLJ3/3UGLtaFLSGlV0TwVID9nJwnJNX/ru7as4JNX7+Kca58iJr6yr7PPV8b742+iz/DT6TlobL3E3JDlF0FCbOXvPjEGCop/ZIEq2qUb3dsa15/u4awjPHRqCWcc3rSv60kpLcnNrDw+87J2kphS8/jcsWkl779wN7+8+d/EJgSOz6TUliSmtqR910B2vO+wsWzbuKzGslJTQ3tPpHPuY+dcD+dcV+fcA8Fpz+ztRuec2+acG+uc6+ec6+ucm3CgdaoS2XB8BUSbWdUh7mprL7CBYGXTzAYDnYPTpwDnBSuDVGnO+h2BtDXAxcCM4PyuzrnZzrl7gAwClcnPgGvNLDJYpoeZxdUWbNX210NHX1VbkXqxNRNSE4zkuECfxj4dPazaUrdKZGwzaBZs7hLhhS6tPNU67ov8HM3b9iMvYyP5WVvwlZeybtHHdDjsuDotW1ZaRGlJYcXfW9d8S0rLht0o4GDYuMNH82QvaYmG1wODe0WyaF31St/iteUM7x34IXdq7aW41JFX6IiKqPx9R0VAr44RbMusbLbas2MEO7P95BQ0zX5Tnbr1Ydf2TWTs3Ep5WRlzZ3zGgGHHViuza/umiqzuxrXL8ZWXEZ+QTH5uFkWF+QCUluxh+aLZtGrXqZ63oOFo3bEfWbs2kJOxGV95KcvmTqZb/9HVyuRmbeO9Z2/ktMseIbVl54rpzjk+fuVO0lp1YfgJB3y3d5OwLQtSEyApeF3v3cFYtbVuv9OpixxPTPTz5CQ/78/0s2EnTJzVNH/je7Xt0o/MnRvJ2r2F8vJSFs36mF6Dql+LcjK28d9/3cS43zxMeuvK4zMhuTlJqa3ZvT3Qq2nt0lm0aMKDPkl16hPZQDjnnJn9AviHmd0G7AYKgdv3KfoulU1O5wKrgssvNbMHgGlm5gPmA5cCNwEvmNkfguvce5V61My6E8g+TgEWAouATsAPwdFidxPoP9lgOQefzPNz8WhvYCjwtX5258KQ7oEnM9+vdsRFw1Une2kWCc4ZI3rBU5N8xMfAmUd48Vig5dGyjX5W1/FC1VQNfPXvpI0aTlR6CqPXT2P1fU+w+cWm+eqJA/F4IzjijLv49MUrcc5PjyFnk9KyO8tnvwHAYSMuoCh/Nx8+eS5lJQWYeVjy7Succ/NH7CnKZsqEGwHw+8vpOuA02vU4OpybExZ+B299Xcz158RhBrOWlLEj089R/QPvP56xqJSl68vp0zmCey+Pp6wcJnwWSFkkxBlXnRF4BuY1mLeijOUbKl95NaSJDqizl9cbwYVX3s4/77sOv9/PyOPPpE2Hrkz77G0ARp14Lj/MnMLMaR/h9UYQFdWMq37/MGZGbnYGLz5xD36/H+f3M3TkGPoPrdnHr6nweCMYe/49vPmvK3F+H/2PPIfmbbozf/rrAAw65kK+nfwkxYU5fP76XwLLeLxcesd7bFn7PUtnf0jztj144f4zARh15u/o2m9U2LYn3JyDz773c+EoDx4PLFwXGJl1cNfAdf2HtYHr+uVjPcHrOgzvaTz7sZ/SH32rXdPk9UZw+q/v4qVHAteiwcecTct23Zn9VeBaNGL0BXz14VMUFeQw8eX7gMDxef19gWv7ab+6k7ee/gM+XxmpzdtzzlUPhG1bDikNq0/kQWF7nzKK/K/u+2+5DqIQGXJpn3CH0KgsfWN5uENoVDZtzA93CI3KuSdq5I9QWbdLA32E0radvnCH0Kj07Ny0m9SG0rgRdWy/GWaZ911db/fGafeMD8s+USZSREREREQkROraV/FQ1vhzrSIiIiIiIhIyykSKiIiIiIiEiFnjz9M1/i0UERERERGRkFElUkREREREROpMzVlFRERERERCRQPriIiIiIiIiFRSJlJERERERCREzNP483SNfwtFREREREQkZJSJFBERERERCRFTn0gRERERERGRSspEioiIiIiIhIo1/jxd499CERERERERCRllIkVEREREREJEfSJFREREREREqlAmUkREREREJFT0nkgRERERERGRSspEioiIiIiIhIiZ+kSKiIiIiIiIVFAmUkREREREJFTUJ1JERERERESkkiqRIiIiIiIiUmdqzioiIiIiIhIi5tHAOiIiIiIiIiIVlIkUEREREREJFWv8ebrGv4UiIiIiIiISMspEioiIiIiIhIr6RIqIiIiIiIhUUiZSREREREQkREx9IkVEREREREQqKRMpP1tERONv911flr6xPNwhNCp9Ljgs3CE0KimfrAx3CI3K5G+Kwx1Co3HUUF+4Q2hUZs3ODXcIjUrndinhDkHqm/pEioiIiIiIiFRSJlJERERERCREzNP483SNfwtFREREREQkZJSJFBERERERCRVTn0gRERERERGRCspEioiIiIiIhIr6RIqIiIiIiIhUUiVSRERERERE6kzNWUVEREREREJFA+uIiIiIiIiIVFImUkREREREJERMA+uIiIiIiIiIVFImUkREREREJFSs8efpGv8WioiIiIiISMgoEykiIiIiIhIqHo3OKiIiIiIiIlJBmUgREREREZEQMfWJFBEREREREamkTKSIiIiIiEioqE+kiIiIiIiISCVlIkVEREREREJFfSJFREREREREKikTKSIiIiIiEiqmPpEiIiIiIiIiFVSJFBERERERkTpTc1YREREREZFQ8TT+PF3j30IREREREREJGWUiRUREREREQqUJvOJDlch9mJkPWAwY4ANucM59Z2adgI+cc31D8B1TgVudc/PMbAOQD/iBncCvnXM7fu53NCVdWsGYQR7MYOE6x8wVrtr8tAQ4dbiHVikwbbFj9srq883gsjEe8ovh7W/89Rl6g7Rl1TfM+uhB/H4/PYeNY8Coq6rNz9m1junv3kHmtmUMHXsz/Y6+vGLem48cT2SzOMzjxePxcub179R3+IeU/s89SItTjqV0VybTB50e7nAavPVLp/PVOw/g/H76jTyXEWOvrjZ/2ZyJzPniOQCimsVxwgV/pkW7XgB8+uqfWLtkKrEJaVx210f1HntD0aO9hzNHRmIGc5b7mLqgvEaZM0ZG0quDh7JyeOvrUrZmBM6ZR/f3MqxX4LZhR6aft6aWUe6D1mnG2UdHERUJ2fmO16eUUlJWr5sVdisWfsPEV/+G3+9j+LHjGH1G9fPmD99O4utJ/wGgWXQsZ192D206Bo7N6Z+8zJyv3wEzWrfvwXlXP0BkVLN634Zw69M5kvNOiMXjgRkLS/hs1p4aZc4/IZa+XSMpLXO8NLmQzTt9FfPM4I5LE8nJ9/PkOwUADO4ZyelHxdAq3ctDL+excYevxjqbgjWLv+HT1x/A7/wMPnocR51S/dy5aNYkvv1k77kzllN/9Wdate9VMd/v9/HcfeNISGnBRb99tl5jl4ar8VeTf7pi59xA59wA4E/A3+rhO48Lft884I6qMyygXv4/mZm3Pr4nlMzgxCEe3pzuZ/ynfnp3NNITq5cpLoUv5vtrVB73GtbdyMyrfV5T4/f7+G7iXxl76XjOuXkS6xZOJnvnmmplmsUmccTpd1arPFZ1ypUvc9aN76sCWQdbXn6POaddGe4wDgl+v48v37qPc65/nsvunsyKeR+Rsb36sZmU3o4LbpnApXdO4vCTr+Xz1+6umNfn8LMZd/3z9R12g2IGZx0VyX8ml/L3N0sY2M1Li5Tqw9D36uAhPcl45PUS3p1WyllHRwGQGAcj+0bwr3dLePytEswDA7oFLhnjRkXxyewy/vF2CUvW+xg1sGk9n/b7fbz/0v1ccduz3PrIJBbM/JidW6ofm6nN23Ht3S/z+4c+4IRfXMM7/7kXgNysncz4bAK/vf9tbn14In6/jwUzPw7HZoSVGVw4NpYn3srnz8/lMqx3FK3Tqt/69O0SSYsUD3c/m8uETwu5+MS4avOPHxrNjozqlcRtGT6eeb+A1ZtrPixpKvx+Hx//9z4uvuU5rv/rRyyZPZnd26ofnynpbbn0tle59i8TOeb06/jo5XuqzZ/9xSukt+lSn2Ef+jxWf//CtYlh++ZDQyKQve9EM4s2sxfNbLGZzTez4w4wPcbM3jCzRWb2JhCzn++bDnQzs05mttzMngJ+ANqb2R/MbG5wHX8JrjfOzCab2UIzW2Jm5wenP2Rmy4JlHwtOe8nMxlXZhoLgf481s6/N7DVgsZl5zezRKt/1mxDty4OiTSpk50NOIfj9sGyTo3vb6j+oohLYnhWYv6+EGOjWxliwTpVIgN1bFpGY1oHE1PZ4I6Lo0v8UNi3/qlqZmPg0mrfrh8fTtG4UD4asGfMoy8oNdxiHhB0bFpHSvCPJ6YFjs9eQU1m7aEq1Mm27DCY6NgmANp0HUpBT2aijffdhRMcl1WvMDU37Fh4y8hxZ+Q6fHxau9dGnU/Vnh707eflhVeBGfNMuR0wzSIgNzPN4IDIicM8SFWHkFQbOm82TjXXbAyfY1Vv89Ot8yD2P/Fk2rV1MessOpLVoT0REFAMPP5ml31c/b3bqMYjY4PHXofsAcrN2Vszz+3yUle7B5yunrGQPiSkt6jX+hqBz6wh2ZfvJyPXj88O8ZaUM6B5VrcyA7pHMWlIKwPptPmKaGYlxget9coLRr2skMxaVVFtmR6afnVlNu4XR1nWLSG3RgZTmgXNnn+GnsGJ+9XNn+26DiQken+26DCAvu/LcmZe1g9WLpjH46HPrNW5p+HQXWFOMmS0AooHWwOhaylwP4JzrZ2a9gM/NrMePTL8WKHLO9Tez/gQqhrU5jUBTWoCewGXOuevMbCzQHRhOoJntRDM7BmgObHPOnQpgZklmlgqcBfRyzjkzS67DNg8H+jrn1pvZ1UCuc26YmTUDvjWzz51z6+uwnnqXEAN5xZUVwPwiaJNW9+XHDPLw1UI/UfolAFCUu4u4pFYVn2OTWrJ786K6r8CMT1+8AjB6DT+fXsPPC32Q0iTl5+wkIaXy2IxPbsn2Dfs/Nhd/9w6d+xxTH6EdMpLiILeg8nyZW+Bo39KzTxkjp0qZnAJHUpyxZbdj2sJy7vhlNGXlsHqLj9VbAjfnO7L89O7kYdkGP/27ekmOb/wv2a4qL2snyWmVx2ZSais2rd3/sTln6rv0GnB0sGxLRp16GQ/cdDyRUdH06HckPfuPPOgxNzTJCUZ2fmUWMTvfT+c2EfuU8ZCVX1khzMn3k5LgIa/Qx3nHx/Hu10VEN2tax15d5OfsJDG1dcXnxJRWbF2/cL/l53/zDt36VZ47P33jQU4491ZK9xQe1DgbnSbQJ7Lxb+FPt7c5ay/gJOAVM9v3rHQU8CqAc24FsBHo8SPTjwEmBKcvAva9unwdrLgmUtl8dqNzblbw77HBf/MJVEB7EahULgZOMLOHzexo51wukAfsAZ43s7OBojps85wqlcSxwK+D8cwG0oLf1eh0aw2FJY4dNXLNTVnNjKxR94vyab95jV/c8B4nXjqe5bNeY/v6uaEMTpq0Wo7NGqfmgE2rZrH4u3c45sxbD3ZQh746NMJwDmKioE8nLw/9dw/3v7qHyAhjUPdAxvHtqWUc2SeCm85pRrNIKG9iiR9X67FZe9k1S2czd+p7nHLB7wEoKsxl6fdf8ad/fsHd/55KaUkx38+YeDDDPWTVtkudg35dI8kv8rNpZ9Ps73ggrtbfeO0H6PoVs5g/411OGBc4Plct/Jq4hDTadPrZw4FII6T8y49wzs00s3QCGb+q9ndX/WN32z92qT7OOZdRsZJA9rDqIx8D/uacq9Gb2cyGAKcAfwtmDO8zs+HA8cAFwA0EsqnlBB8aBCvFVduJ7PtdNzrnPvuReAlmLK8GOPPKpxl+wlU/VvygyS+GxBhj7+5NiA1Mq4t26Ub3NkbX1kaEB5pFwhkjjImzm27T1tiklhTmVjZjKcrdSWxi3ZtWxQXLxsSn0bH3CWRsWUzrzsNCHqc0PQnJrciv0sSqIGcn8Uk1j83dW1fw2X/v4pzrniMmPqU+Q2zwcgshqUqWMCneyCty+5Rx1TKJycEy3dp5yMpzFAbHOlmy3kfHVh7mr/axO8fx/ORAM8P0JKNXx6bVnDUptRU5mZXHZm7WDhKTax6b2zat5O3n7+HK254lLiEZgNVLZpLavC3xiakA9B02ho2rFzDkqDPqJfaGIiffkZJQedykJHjIya/+NCI7309qgoe1wc/JCR5yCvwM7hXFgG5R9O0aSaTXiGlmXH5aHC98pMwZQGJKS/Kytld8zsveQUItx+fOzSuZ9NLdXHzzeGKD585Na35g5cKvWL14GuVlpZTsKeC95/7A2Vc9Wm/xH7L29ySpEVEm8kcEm6R6gcx9Zk0HLg6W6QF0AFbWcXpfoP9PDOUz4HIziw+uo62ZtTCzNgSayU4AHgMGB8skOec+Bm4GBgbXsQEYEvz7TCDyR77rWjOL3LsdZha3byHn3Hjn3FDn3NBwVSABtmVBSkKgmZbHA707GKu31q0SOHWx49+T/Dz1kZ8PZvrZsIsmXYEEaN62H3kZG8nP2oKvvJR1iz6mw2HH1WnZstIiSksKK/7euuZbUlo2yiS2hEGrjv3I3rWBnIzN+MpLWfH9ZLr2q97bIC9rGx+Ov5FTLnmE1JadwxRpw7Vll5/0JCMlwfB6YEBXL8s2VM/eLNvgY3CPwM18hxZGcWmgm0BOgaNDSw+RwUfP3dp62JUduMmPiw5MM+D4wRHMWtq0BjFp36UvGTs2krVrC+XlpSyY9Qm9h1Q/b2ZnbOOVf97Ehdc+RPPWnSqmp6S1ZtOahZSWFOOcY83SWbRoggOYbNheTotUD2lJHrweGNo7ioVrqg/xu3BNGYf3DTz/7tzGS3GJI6/Q8cG0Yv74VA53Pp3L8xMLWLGxTBXIKtp27kfmzo1k7w5c15fO+ZieA6ufO3Mzt/HmUzdy1pUPk9aq8tx5wjm/53ePTePmR75i3G/+TudeI1SBlArKRNa0t08kBK6JlzjnfPs0m3oKeMbMFhPI8F3qnCsJDoRT2/SngRfNbBGwAJjzUwJyzn1uZocBM4NxFAC/BLoBj5qZHygj0PcyAfjQzKKD8d8SXM1zwelzgClUzz5W9TzQCfghmLHcDfzip8Rbn5yDz3/wc8EoD57gKz4y8mBQ18D/r/lrHXHRgVd4NIsMlB/Wwxj/iZ/SpnWfUycebwRHnHEXn754Jc756THkbFJadmf57DcAOGzEBRTl7+bDJ8+lrKQAMw9Lvn2Fc27+iD1F2UyZcCMAfn85XQecRrseR4dzcxq8ga/+nbRRw4lKT2H0+mmsvu8JNr+oUW1r4/FGcPx59/Duk1fi9/vod8Q5pLfpzoJvXgdg4NEXMvOTJykuzOHLN/4SXMbLr25/D4CPXvgdm1fPobggm2fuPIaRp95IvyOb1kARfgcfzijjylOj8BjMXeljZ7bj8N6BSuOsZT5WbPLTq4Pj9gubUVoOb08NZBg373IsXufjt+c0w+9ga4af2csCFdCB3b0c2SdwO7FkvY95K5tWs0KvN4JfXHonzz18FX6/n+GjzqJVu+7M/DJw3jzihAv48v2nKcrP5b0X76tY5rf3v02HbgPoN3ws/7xzHB6vl7YdD+Pw0U2vL7nfwRufF/Hb8xPwGHy7qITtGT6OGRh41cn0BSUsWVtGvy6R3P+bJErLHC9/fOCK4sAekVxwQhzxscYN5yaweaePf72Vf7A3p0HxeCM45eK7mfCPK3B+PwOPOocWbbszb2rg+Bx67AVMm/QUxQU5TJ4QOD49Hi9X3/NuOMM+9Hkaf57OXO2NpUXq7ME3fTqIQiQiovE3f6hPfS44LNwhNCrbPlkZ7hAaldVr6tj2Xg7oqKFRBy4kdTb5S40aHUqjjlLT+lC56KhDo53ono+errd74+jTrg3LPlEmUkREREREJFQOjbruz9L4c60iIiIiIiISMspEioiIiIiIhIreEykiIiIiIiJSSZVIERERERERqTM1ZxUREREREQmVJvCKj8a/hSIiIiIiIhIyykSKiIiIiIiEil7xISIiIiIiIlJJmUgREREREZFQ0Ss+RERERERERCopEykiIiIiIhIq6hMpIiIiIiIiUkmZSBERERERkVDReyJFREREREREKikTKSIiIiIiEiJOfSJFREREREREKqkSKSIiIiIiEirmqb9/dQnH7CQzW2lma8zsj/spc6yZLTCzpWY27UDrVHNWERERERGRRsjMvMCTwBhgCzDXzCY655ZVKZMMPAWc5JzbZGYtDrReVSJFRERERERCpY4ZwnoyHFjjnFsHYGZvAGcCy6qUuQh4zzm3CcA5t+tAK21QWygiIiIiIiIh0xbYXOXzluC0qnoAKWY21cy+N7NfH2ilykSKiIiIiIgcgszsauDqKpPGO+fGVy1Sy2Jun88RwBDgeCAGmGlms5xzq/b3vapEioiIiIiIhEh9vuIjWGEc/yNFtgDtq3xuB2yrpUyGc64QKDSz6cAAYL+VSDVnFRERERERaZzmAt3NrLOZRQEXABP3KfMhcLSZRZhZLDACWP5jK1UmUkREREREJFQa0MA6zrlyM7sB+AzwAi8455aa2TXB+c8455ab2afAIsAPPO+cW/Jj61UlUkREREREpJFyzn0MfLzPtGf2+fwo8Ghd16lKpIiIiIiISKjUY5/IcGk4uVYRERERERFp8JSJFBERERERCRVP48/TNf4tFBERERERkZBRJlJ+tq8+mB/uEBqNXsO6hzuERiXlk5XhDqFRaXNyz3CH0Kgct+LTcIfQaBT548IdQqPSr3/zcIfQqDz18PRwh9BoXHTUqHCHUCf1+Z7IcFEmUkREREREROpMmUgREREREZFQaUDviTxYGv8WioiIiIiISMgoEykiIiIiIhIiTplIERERERERkUrKRIqIiIiIiISKRmcVERERERERqaRKpIiIiIiIiNSZmrOKiIiIiIiEiAbWEREREREREalCmUgREREREZFQ0cA6IiIiIiIiIpWUiRQREREREQkV9YkUERERERERqaRMpIiIiIiISIg49YkUERERERERqaRMpIiIiIiISKioT6SIiIiIiIhIJWUiRUREREREQsShPpEiIiIiIiIiFZSJFBERERERCRGnPpEiIiIiIiIilZSJFBERERERCRVlIkVEREREREQqqRIpIiIiIiIidabmrCIiIiIiIiHiTK/4EBEREREREamgTKSIiIiIiEiINIVXfKgSWQszuxO4CPABfuA3wJvAUOdcxj5lv3POHfkj63of6AzEA82B9cFZ1wGv7WedZwC9nXMP7WednYCPnHN9f/rWNR7XX9Ke4QOTKCn188jTG1izoahGmVbNo7jzpi4kxEWwZkMRDz25nnKfIy7Gyx+v70yL9Ci8XuPtj3bw2bRMmqdGcvt1nUlJjsQ5mDxlN+9/uisMW1d/DusUwbhjo/F44LvFZXwxt6RGmXHHRdOncwSlZfDqZ0Vs2eUH4C9XJFBS5vD7we93PPJaIQCXnRpDyxQvADHNjOISx0MTCupvoxqI9Uun89U7D+D8fvqNPJcRY6+uNn/ZnInM+eI5AKKaxXHCBX+mRbteAHz66p9Yu2QqsQlpXHbXR/Ue+6Go/3MP0uKUYyndlcn0QaeHO5wGb968eYx/9mn8fj9jTzyJ8847v9Zyq1at5Pe/u4Xb//gnjjrq6IrpPp+Pm397E2lpafz5L/fVV9gN0vzvZ/Pi+P/D7/dz/NjTOOvcX1abP3fWN7wx4XnMPHi9Xi696iYO69MfgMkfvs2UzybhcJxw4umceuZ54diEBmXj8m+Y/v4DOOen94hxDD2h+rkza+c6prz+J3ZtWcYRp97M4OOuqJg3f+pLLJv1DpiR1ro7J1z4NyIim9X3JjQ4v726K0cMSWNPiY8H/28lq9bWvCaffWobzjujHe3axHDqxd+Sm1cOQId2Mdzx21706BrPc6+u5/X3t9R3+NIAqRK5DzM7AjgNGOycKzGzdCBqf+V/rAIZnH9WcL3HArc6506r8l37W2YiMPGnxt6UDB+YRNtW0VxyyxIO6xbHb6/owI13r6hR7qqL2vHuxzuZOjOb317RgZOPS2fSl7s5Y2xzNm4t5u7H1pCUEMGLj/dlyowsfH54ZsIW1mwoIibaw9MP9ub7xXls2ronDFt58JnBeaOj+fe7heTkO/5wcTyL15axI8tfUaZ35wiaJ3v4ywsFdGrt5YLjY3js9cKK+f/3ViGFe1y19b44ubji77OOiaa4tPr8psDv9/HlW/dx7o0vkpDckgmPjKNrv9Gkt+5WUSYpvR0X3DKB6Ngk1i2dxuev3c0vb3sbgD6Hn82gUb/k41duD9cmHHK2vPweG56awMAXHg53KA2ez+fj6aee5P4HHiQ9PZ1bbr6Jww8/nA4dOtYo9+ILLzB48JAa65j44Qe0b9+eoqKaD/CaEp/Px3+efpy77/8HqWnN+dMtVzF0xEjad+hcUabvgCE8NuIozIyN69fw+MP38n/P/JdNG9Yx5bNJ/O3x8URERvDAPbcyeOgRtG7bPoxbFF5+v4+p797HL655gfjklrz5j3Pp0nc0qa0qz53RsUkcc/ZdrFv8ZbVlC3J2suibV7n49slEREXzyUs3s3r+ZA4bfnZ9b0aDcviQVNq3ieWC38yhT88Ebr22O1ffOr9GucXL8/hu7kKeeHBgtel5+eX8c/wajjk8rZ4ibgTUJ7JJag1kOOdKAJxzGc65bXtnmlmMmX1qZlcFPxcE/3usmU01s3fMbIWZ/df2V0us7kYz+8HMFptZr+C6LjWzfwf/bmlm75vZwuC/apVWM+tiZvPNbFhwufeC8a02s0eqlBtrZjOD3/W2mcUHpz9kZsvMbJGZPRacdq6ZLQl+3/SfszMPliOHJPPFN5kALF9TSHxsBKnJkTXKDeyTwPTZ2QB8Pj2TkUOTK+bFxgQzZdEe8gvK8fkdWTllFRnN4j1+Nm0tJj11v88QDnmdWnnJyPGTmevw+eGHFWX071p9P/bvGsGcZWUAbNjuI6aZkRhX95Pj4J6RfL+iLKRxHwp2bFhESvOOJKe3xxsRRa8hp7J20ZRqZdp2GUx0bBIAbToPpCBnR8W89t2HER2XVK8xH+qyZsyjLCs33GEcElatWkmbNq1p3bo1kZGRHHPMKGbNnFmj3KRJExk5ciRJydWPxYyM3cydO5cTTzypvkJusNasWk6r1m1p2aoNkZGRjDzmeObNmlGtTExMbMWD4z179mAE/t66ZSPde/WmWXQ0Xm8EvfsOZM7MBnnZrTc7Ny0iOb0DScFzZ49Bp7BuSfVzZ2xCGi079MPjrZkL8ft9lJftwe8rp7ysmLjEFvUVeoN19OFpfPpV4PqydGU+8XERpKXUvLdZva6AHbtqtkbKyS1jxep8ysub3gNh2T9VImv6HGhvZqvM7CkzG1VlXjwwCXjNOfdcLcsOAm4GegNdgJF1+L4M59xg4Gng1lrm/wuY5pwbAAwGlu6dYWY9gXeBy5xzc4OTBwLnA/2A882sfTCbehdwQvC75gG/M7NU4Cygj3OuP3B/cB33ACcGv/OMOmxDvUtPjWR3ZmnF591ZpaSnVq/8JCZEUFDowx9MqmVklpIWrBB+8NkuOrSJ5s2n+vPcI3146pXNuH3OjS3To+jWKZYVaxpvM8ykeCM7v3LDswv8JCVUryAmx3vIzq/MTOYUOJLjA6cOB9xwThy3XRzPyH41K/Fd23rJL/SzO8dfY15jl5+zk4SUVhWf45Nbkp+zc7/lF3/3Dp37HFMfoYmQmZlJenrzis/p6elkZmZWK5ORkcHM777j5FNOrbH8+Gef5bLLr8A8jf9p+4FkZe4mrXllRSU1vTmZmRk1ys3+bjq/veZi/vaX27j2t38EoH3HzixfspD8vFxK9uzhh3mzyMho3F0oDqQwZyfxya0rPscntaIgd//nzqrik1sy6NjLeem+0fzn3qOJik6gQ6+jDlaoh4z0tGbsyqisHO7KLCE9rfE+IG8InHnq7V+4qDnrPpxzBWY2BDgaOA5408z+GJz9IfCIc+6/+1l8jnNuC4CZLQA6ATP2U3av94L//R6orb3FaODXwdh8QK6ZpRDoX/khcI5zbmmV8lOcc7nBGJYBHYFkAhXbb4NPQqOAmUAesAd43swmA3s7Xn0LvGRmb1WJr0GpLce7byWw1lubYKGh/ZNYu7GYW+9fRZuWzXj4jh4sXrGUouJAZSe6mYd7b+nKU69srpjWGNW+jw68nAvux3+8UUBuoSM+xrhhXBw7svys3eqrKDe0VyTzVja9LGRAzR25v8YJm1bNYvF373Dh71472EGJAJW/4Wr2OT7Hj3+Gyy6/HK/XW236nNmzSUpOpnv37ixatPBghnnIqu2nPuLIYxhx5DEsW7KANyc8zz0P/JN27Ttx5riL+evdtxAdHUunzt1q7O+mprZLkNV+taphT1Eu65dM4ZK7vyQqJoFPXrqZFfMm0mtog3weXm/+12u9yI9RJbIWwcraVGCqmS0GLgnO+hY42cxec7VeganaBsBH3fbv3mXqWn6vXGAzgWxn1UpkbTEY8IVz7sJ9V2Jmw4HjgQuAG4DRzrlrzGwEcCqwwMwGOucy91nuauBqgF5D/0Tbbge/v8EZY5pzyujAk/NV6wppXuUpWvPUKDKzq1dWcvPLiY/z4vGA3w/paZVlTjo2jdc/DDTt2LazhB27S2jfJoaVawvxeo0/39KVKd9mMWNuzkHfrnDKKXCkVMk8psR7yC1w+5Txk5LgIXA4QXK8kVsYKLP3vwXFjkVryujUyltRifQYDOgWySP/bbyZ3B+TkNyK/OzK5qkFOTuJT6rZrGr31hV89t+7OOe654iJT6nPEKUJS09PJyNjd8XnjIwM0lJTq5VZs3o1Dz/0NwDy8vKYN3cuXo+XlStXMHvWLObNnUNpWRnFRUU8+ujD/OEPTbP/bmpaczJ3V2YPszJ2k5qavt/yvfsOZMeObeTl5pCYlMzxY0/j+LGB4RJee/lZ0tKbdvPL+OSWFORsr/hckLuDuFrOnbXZvGomiWntiIkPHMtd+49hx4b5TbISefYpbTj9xEBGd/nqfFqkVw4u1CKtGRlZpftbVELA1fHBx6FMzVn3YWY9zax7lUkDgY3Bv+8BMoGn6jGkKcC1wdi8ZpYYnF4K/AL4tZlddIB1zAJGmlm34HpizaxHsF9kknPuYwLNcAcG53d1zs12zt0DZAA1evg758Y754Y654bWRwUSYOIXu7nmT8u45k/L+HZeDmOODnTwPqxbHIVFPrJyama8FizN55gRgRvzscek8d33OQDsyihlcN/ArkxOiqB962i2B/sB3Hp1RzZu28O7H9et+cyhbOMOH82TvaQlGl4PDO4VyaJ11ffj4rXlDO8daKraqbWX4lJHXqEjKgKaBVuwRkVAr44RbMuszNr27BjBzmw/OQVN83Fnq479yN61gZyMzfjKS1nx/WS69htdrUxe1jY+HH8jp1zyCKktO+9nTSKh16NHT7Zu28aOHTsoKytj+vRpjDj88GplXnjxZV586RVefOkVRh51FNddfwNHHHkkl152Oa+8OoEXX3qF22//I/37D2iyFUiAbj16sX3bFnbu2EZZWRnfTp/C0BHVm1Bu37alIvu7bs1KysvKSEgM9DPNzQn029+9ayezZ05n5KgT6ncDGpiW7fuRs3sjuZlb8JWXsmr+x3TuM/rACwIJKa3ZsWEhZaXFOOfYsmomKS26HOSIG6b3Pt7GZb/9nst++z3fzMrgpNGB7hV9eiZQUFROZrYqkfLzKBNZUzzwhJklA+XAGgIZt72jqt4MvGBmjzjnbquHeH4LjDezKwikgq4FtgM45wrN7DTgCzMr3N8KnHO7zexS4HUz2/so6i4gH/jQzKIJZCtvCc57NFiRNgKV2AbXXmn2/FyGD0zilX/2paTEz6PPbqiY98Bt3Xn8uQ1kZpfx/OtbuPPGrlx2XlvWbCjik68D/VQmvL+dP1zTiece7g1mPPf6FvLyy+nbM54xx6SzblMRz/ytNwAvvLmVOQsa52AdfgdvfV3M9efEYQazlpSxI9PPUf0DWd4Zi0pZur6cPp0juPfyeMrKYcJngZFXE+KMq86IA8BrMG9FGcs3lFese0gTHVBnL483guPPu4d3n7wSv99HvyPOIb1NdxZ88zoAA4++kJmfPElxYQ5fvvGX4DJefnV7oAX5Ry/8js2r51BckM0zdx7DyFNvpN+R54Ztew4FA1/9O2mjhhOVnsLo9dNYfd8TbH7xnXCH1SB5vV6uvfY67r7rTvx+P2PGjqVjx058PHkyAKecWrMfpNTO643gimtu4YF7fo/f7+e4MafSvmNnPv/4AwDGnvILZn83jWlffYrXG0FUVDNuuf0vFc3bH3vwLvLzc4nwRnDlNbcQH58Qxq0JP483glHn3M3EZ6/A7/fTe8Q5pLXuzuJv3wCg38gLKMzbzZuPj6N0TwFmHhZMe4Vf/nEyrToOoOuAsbzx97PxeCJo3vYw+h5Z+6trmpKZ87I4Ymgqb44fXvGKj70evbcvDz2xisysUsad3paLzm5PakoUL/9rKDO/z+LhJ1aRmhzJ8/8YQlysF78fzj2jHb+8bi5Fxb4f+damrSm8J9Jqb5UpUncnXDhPB1GI9BrW/cCFpM4G9NfopqHU5uSe4Q6hUem54tNwh9BoFPnjwh1CozJ9dfMDF5I6e+Pppj3ibijNmDTqkGgnunvp7Hq7N27eZ0RY9okykSIiIiIiIqGi90SKiIiIiIiIVFImUkREREREJERcE8jTNf4tFBERERERkZBRJVJERERERETqTM1ZRUREREREQsRpYB0RERERERGRSspEioiIiIiIhIizxp+na/xbKCIiIiIiIiGjTKSIiIiIiEiIONQnUkRERERERKSCMpEiIiIiIiIhoj6RIiIiIiIiIlUoEykiIiIiIhIiek+kiIiIiIiISBXKRIqIiIiIiISIRmcVERERERERqUKZSBERERERkRDR6KwiIiIiIiIiVSgTKSIiIiIiEiLqEykiIiIiIiJShSqRIiIiIiIiUmdqzioiIiIiIhIiGlhHREREREREpAplIkVEREREREJEA+uIiIiIiIiIVKFMpIiIiIiISIioT6SIiIiIiIhIFcpEioiIiIiIhIj6RIqIiIiIiIhUoUyk/GyeCG+4Q2g0zj0xMtwhNCqTvykOdwiNynErPg13CI3Kyl4nhTuERmPzRyvDHUIj48IdQKOS1q5VuEOQeuZMmUgRERERERGRCspEioiIiIiIhIhzykSKiIiIiIiIVFAmUkREREREJERcE8jTNf4tFBERERERkZBRJlJERERERCRE9J5IERERERERkSqUiRQREREREQkRZSJFREREREREqlAlUkREREREROpMzVlFRERERERCRM1ZRURERERERKpQJlJERERERCRElIkUERERERERqUKZSBERERERkRBxTplIERERERERkQqqRIqIiIiIiISIw+rtX12Y2UlmttLM1pjZH3+k3DAz85nZuAOtU5VIERERERGRRsjMvMCTwMlAb+BCM+u9n3IPA5/VZb2qRIqIiIiIiIRIA8tEDgfWOOfWOedKgTeAM2spdyPwLrCrLitVJVJERERERKRxagtsrvJ5S3BaBTNrC5wFPFPXlWp0VhERERERkRCpz/dEmtnVwNVVJo13zo2vWqSWxdw+n/8J3O6c85nVLXZVIkVERERERA5BwQrj+B8psgVoX+VzO2DbPmWGAm8EK5DpwClmVu6c+2B/K1UlUkREREREJEQa2Hsi5wLdzawzsBW4ALioagHnXOe9f5vZS8BHP1aBBFUiRUREREREGiXnXLmZ3UBg1FUv8IJzbqmZXROcX+d+kFWpEikiIiIiIhIi/nrsE1kXzrmPgY/3mVZr5dE5d2ld1qnRWUVERERERKTOVIkUERERERGROlNzVhERERERkRCpz1d8hIsqkYcIMytwzsWHcH2dCIy81NfMhgK/ds7dFKr114frftWWYQOSKCnx89j4jazZWFyjTKvmUdxxfScS4rys3lDMI89spNznOPeUFow+MgUAr9do3yaa865bTH6hDwCPwb/v60lGdhn3PL6uXrcr3Jb88C1vvvAofr+fo074BSeffXm1+QvmfM2Hrz+NmeH1ejnv8j/Q/bBBlJWW8OhdV1BeVorP72PIESdwxgXXhmkrwqdHew9njozEDOYs9zF1QXmNMmeMjKRXBw9l5fDW16VszQi8runo/l6G9Qqclndk+nlrahnlPmidZpx9dBRRkZCd73h9SiklZfW6WQ3CvHnzGP/s0/j9fsaeeBLnnXd+reVWrVrJ7393C7f/8U8cddTRFdN9Ph83//Ym0tLS+PNf7quvsA9J/Z97kBanHEvprkymDzo93OEccjYsm87U9x7A7/fT94hzGT7m6mrzl8+dyLwpzwEQGRXH8ef/meZte4Uj1AZp4/JvmP7+Azjnp/eIcQw9ofr+y9q5jimv/4ldW5ZxxKk3M/i4KyrmLZj2CktnvQ3O0eeIcxk46pL6Dr/BuOq8FgzpE0dJqeP/XtnOus0lNcq0SIvkD1e0Jj7Oy7pNe/jHS9sp91XO79Yxmkdu68Bjz2/ju/kFpKdEcPMlrUlO9OIcfDYjh4++zqm/jZIGQ5VIwTk3D5gX7jh+imEDEmnbMprLbl1Gr66x3HRZe27686oa5a44vw3vfbqLqbNyuOnS9px0bBofTcng7Y938fbHuwA4fFAiZ5/UoqICCXDWic3ZtG0PsTHeetumhsDv8/Hacw9xy71Pk5LWkgdvu5gBw0bRpn3XijK9+o1gwLBjMTO2bFjFs3+/nb8+8T4RkVH87i/jiY6Jpby8jEfuvJy+g0bSpWf/MG5R/TKDs46K5LmPSsktdNx4djOWbfSxK7vynb69OnhITzIeeb2EDi2Ms46O4t/vl5AYByP7RvDYmyWU++DiMZEM6Obl+5U+xo2KYvLMMtZt9zO0p5dRAyP4fG7Nymlj5vP5ePqpJ7n/gQdJT0/nlptv4vDDD6dDh441yr34wgsMHjykxjomfvgB7du3p6ioqL7CPmRtefk9Njw1gYEvPBzuUA45fr+Pr96+j7Ovf5GE5Ja89tg4uvYdTVrrbhVlktLace5NE4iOTWL9sml8+cbdXPj7t8MYdcPh9/uY+u59/OKaF4hPbsmb/ziXLn1Hk9qqcv9FxyZxzNl3sW7xl9WWzdy+iqWz3ua8W97C643kw2evolPvUSQ371TPWxF+Q/rE0bpFJNfcu54enaO59sKW/OGRTTXKXXJWOhO/yuabeflce2FLThiZzKfTc4DAA/VLzkpn/rLCivI+n+OFd3exbnMJMc2Mv/+pEwuXF7F5R2l9bdohoYG94uOgUJ/IQ4yZHWtmU83sHTNbYWb/teCbQc3sITNbZmaLzOyx4LSXzGxcleUL9rPOj4J//9nMXgh+xzoza5DZySMHJ/HFjCwAVqwtIi7WS2pSzWciA3snMH1ODgBfzMjkyMFJNcoce3gKX8/MrvicnhLJ8IFJfDot8+AE34CtX7OEFq3b07xVOyIiIxl21IksnDO1WpnomFiChxwlJcVYsMmGmREdEwuAz1eOr7w8UKtqQtq38JCR58jKd/j8sHCtjz6dqj+I6N3Jyw+rAg8sNu1yxDSDhMBuw+OByIjAhTsqwsgrDFQ+mycb67b7AVi9xU+/zk3r4QYEsott2rSmdevWREZGcswxo5g1c2aNcpMmTWTkyJEkJVf/rWdk7Gbu3LmceOJJ9RXyIS1rxjzKsnLDHcYhacfGRSQ370hyenu8EVH0HHwqaxdPqVamTZfBRMcGjtHWnQaSn7MjHKE2SDs3LSI5vQNJwf3XY9AprFtSff/FJqTRskM/PN7q1/2sneto1XEAkVExeLwRtO02jLWLqlc0m4rhA+L5elYeAKvW7yEu1ktKYs1rR/+esXz7Qz4AX83K5fABlY3eTj0uhZnzC8jNr3zInp3nq8hoFpc4tuwoITVZOammSJXIQ9Mg4GagN9AFGGlmqcBZQB/nXH/g/p+x/l7AicBw4F4zi/x54YZeWkoku7Mqn3plZJWRllo9zMR4LwVFPvz+yjLp+5RpFmUM7Z/IjLk5FdOu/WVbnn9ja8VyTUlO5i5S01pWfE5Oa0l21u4a5ebP+oq7bzyLJx64iUtuuLdiut/n477fnc+tlx1P7wGH06VHv3qJu6FIioPcgsqsY26BIzHO9ilj5FQpk1PgSIoz8gph2sJy7vhlNHf9Opo9pY7VWwIH4Y4sP707BU7X/bt6SY5vWpVzgMzMTNLTm1d8Tk9PJzOz+oOejIwMZn73HSefcmqN5cc/+yyXXX4F5ml6+07qV0HOThKSW1V8jk9uSUHuzv2WXzLzHTofdkx9hHZIKMzZSXxy64rP8UmtfnT/VZXWujvb1s2luDCbstJiNi6bRkHO9oMVaoOWlhxBRnZli5WM7DLS9qnsJcR5KSzyV9zvZOaUV1QIU5MiOHxAfEVWsjYtUiPo0j6aVRv2hDz+Q53D6u1fuKgSeWia45zb4pzzAwuATkAesAd43szOBn5Oe63JzrkS51wGsAtoeaAF6lutCS63b5mahdw+ZQ4flMSy1YUVTVlHDEwkJ6+c1Rtq9q9sClwt02rb1YMOH81fn3if625/nA9ff6piusfr5Z7H3+Th5z5j/ZolbN245qDFesiobafuW8RBTBT06eTlof/u4f5X9xAZYQzqHnhq/PbUMo7sE8FN5zSjWSSUN8EHHG7fHy/UOBGMH/8Ml11+OV5v9aftc2bPJik5me7dux/MEEWCah6rtV2PADavmsXSWe9w1Jm3HuygDhm1X4fqdqOc2rIrg0dfxYdPX8HEZ68ivU0vPJ6mmSWrw21SrfdSe0+1V57bgpc/2I1/P9ew6GbG7b9py/Nv76J4TxO8KIn6RB6iqvaM9gERzrlyMxsOHA9cANwAjAbKCT4sCDZ7jfpf1r9vATO7Grga4LARd9Ku+zn/w2b8NKefkM4px6YBsHJdEc1To4BAO/301Egys6uPNJKbX058rBePB/z+2svs25S1T484Dh+cxLABiURFeoiN8XL7NR15+JmNB3fjGoiUtBZkZVY+8c3J3ElyavP9lu/RZwi7n9hCfl42CYkpFdNj4xLo2WcoS+d/R9uO3fa7fGOTWwhJVbKESfFGXpHbp4yrlklMDpbp1s5DVp6jMPhAd8l6Hx1beZi/2sfuHMfzkwOZ9/Qko1fHptecNT09nYyMyqx4RkYGaamp1cqsWb2ahx/6GwB5eXnMmzsXr8fLypUrmD1rFvPmzqG0rIzioiIeffRh/vCH2+t1G6RpiE9uVa15akHOTuISW9Qot3vrCr54/S7OuvY5YuJSasxvquKTW1bLHhbk7iAuqeb+258+h4+jz+GBXjzfTX6c+KRWB1ii8ThlVDJjRgaaSa/ZuIf0lMrbt/SUSLJyqvelzyvwERfrqbhPSkuOIDs3UKZbx2bcekUbABLjvAzpG4fPD7MXFuD1wB+vbsu0OXnMWlCjl5TQNPpEqhLZSJhZPBDrnPvYzGYBe1NAG4AhwFvAmUBImqY658YD4wHG/mp+HXItP9+kLzOY9GUGAMMHJHLmmOZMnZVNr66xFBb5yMqtOdDIwuX5HDM8mamzchhzVBozf6js4xMb46Ffr/hqFcQX3trOC28FLl79e8Uz7pQWTaYCCdCpWx92bd9Exs6tJKe2YO6Mz7jylr9VK7Nr+yaat2qPmbFx7XJ85WXEJySTn5uFNyKS2LgESkv2sHzRbE4669LwbEiYbNnlJz3JSEkI9Gcc0NXL61OqDzawbIOPI/tGsGCNjw4tjOJSyC8KNGvt0NJDZASUlUO3th627A483Y2LhsI9gSfLxw+OYNbSpjWoDkCPHj3Zum0bO3bsIC0tjenTp/GH26pXAl948eWKvx9//DGGDx/BEUceyRFHHsmllwVGGV60aCHvvfuuKpBy0LTq0I/s3RvIzdxMfFJLVv4wmZMv+Xu1MnlZ25j0nxs56VePkNKic5gibZhatu9Hzu6N5GZuIT6pBavmf8yJv3yszssX5WcSm5BGfvY21i76gnN/+8ZBjLZh+XhaDh9PywFgSN84Tj02mW/m5dOjczSFxT6y83w1llm8spiRgxP4Zl4+ow9PYvbCQKXw6rvXV5S56detmLe4oGLejb9qxeYdJUyckl1jfdJ0qBLZeCQAH5pZNIF7zVuC058LTp8DTGFv6u4QN2dhHsMHJvLSY70pKfXz2HOVFb37b+3C489vIiunnOff2MYd13fiknFtWLuxqNpgOSOHJvPDknz2lKgZxl5ebwQXXnk7/7zvOvx+PyOPP5M2Hboy7bPAqIGjTjyXH2ZOYea0j/B6I4iKasZVv38YMyM3O4MXn7gHv9+P8/sZOnIM/Yc2rX4+fgcfzijjylOj8BjMXeljZ7bj8N6BzOGsZT5WbPLTq4Pj9gubUVoOb08NVDI373IsXufjt+c0w+9ga4af2csCF/yB3b0c2Sdwul6y3se8lTVvBBo7r9fLtddex9133Ynf72fM2LF07NiJjydPBuCUU2v2g5T/3cBX/07aqOFEpacwev00Vt/3BJtffCfcYR0SPN4IRo+7h/eeuhLn99Hn8HNIb92dhTNeB2DAURcy+9Mn2VOYw1dv/wUA83i5+A/vhTPsBsPjjWDUOXcz8dkr8Pv99B5xDmmtu7P420BlsN/ICyjM282bj4+jdE8BZh4WTHuFX/5xMlHR8Xz84k3sKcrB443g2HPuqRjAqKn5fkkhQ/vG8cx9nSkpdTzxSmV29+7r2/LkhB1k5fp4+YPd3HpFay4+PZ11m0v44rsfH1DrsK4xHHd4Ehu2lPCPOwKjwk34MIPvlzaK28uQaQrvibRa+5mI/AT1lYlsCu78Y89wh9CoTP6m8Z/E69PVYzSCZCit7KWRYkNl80crwx1Co1Lu02U9lL6YVPMVZPK/+fDpnofEhX3uypx6+xEN65kcln2iTKSIiIiIiEiINIU+kRqdVUREREREROpMmUgREREREZEQaQqjbSgTKSIiIiIiInWmTKSIiIiIiEiIqE+kiIiIiIiISBWqRIqIiIiIiEidqTmriIiIiIhIiDjUnFVERERERESkgjKRIiIiIiIiIaKBdURERERERESqUCZSREREREQkRNQnUkRERERERKQKZSJFRERERERCxO/CHcHBp0ykiIiIiIiI1JkykSIiIiIiIiGiPpEiIiIiIiIiVSgTKSIiIiIiEiJ6T6SIiIiIiIhIFcpEioiIiIiIhIjT6KwiIiIiIiIilZSJFBERERERCRG/RmcVERERERERqaRKpIiIiIiIiNSZmrOKiIiIiIiEiF7xISIiIiIiIlKFMpEiIiIiIiIhold8iIiIiIiIiFShTKSIiIiIiEiIOL3iQ0RERERERKSSMpHys7Xp2ibcITQa63bFhjuERuWoob5wh9CoFPnjwh1Co7L5o5XhDqHRaH9az3CH0KgsnLAs3CE0Ki3ap4c7BKlnfvWJFBEREREREamkTKSIiIiIiEiI6D2RIiIiIiIiIlUoEykiIiIiIhIiek+kiIiIiIiISBXKRIqIiIiIiISIX++JFBEREREREamkTKSIiIiIiEiIqE+kiIiIiIiISBWqRIqIiIiIiEidqTmriIiIiIhIiDingXVEREREREREKigTKSIiIiIiEiJ+DawjIiIiIiIiUkmZSBERERERkRDRKz5EREREREREqlAmUkREREREJEQcGp1VREREREREpIIykSIiIiIiIiGi0VlFREREREREqlAmUkREREREJEQ0OquIiIiIiIhIFcpEioiIiIiIhIgykSIiIiIiIiJVKBMpIiIiIiISIn6n90SKiIiIiIiIVFAlUkREREREROpMzVlFRERERERCpCkMrKNKZCNnZj5gMWCAD7jBOfedmXUC1gP3O+fuDpZNB7YDzzrnbjCzPwMFzrnHwhL8j+jXLYqLTkrA44HpPxQzeUZRjTIXn5xA/+5RlJY5nv8gj43bywG4/MxEBvZoRl6hn7ueyqwo36FVBJeclkBkhOHzwyuT81i/tbzetqmhWLd0Ol++9QB+v58BI8/liJOurjZ/6eyJzPr8OQCimsUx9qI/07JdL/KytvPRS7dRmJeBmYcBR53HsOMvCccmNBgrFn7DxFf/ht/vY/ix4xh9xlXV5v/w7SS+nvQfAJpFx3L2ZffQpmMvAKZ/8jJzvn4HzGjdvgfnXf0AkVHN6n0bGpL538/mxfH/h9/v5/ixp3HWub+sNn/urG94Y8LzmHnwer1cetVNHNanPwCTP3ybKZ9NwuE44cTTOfXM88KxCQ3WhmXTmfpe4Hff94hzGT6m+u9++dyJzJsS+N1HRsVx/Pl/pnnbXuEI9ZDU/7kHaXHKsZTuymT6oNPDHU6D16UVjBnkwQwWrnPMXFH9jjwtAU4d7qFVCkxb7Ji9svp8M7hsjIf8Ynj7G399ht5g9OkSyQVj4vAYfLNwD5/O3FOjzAVjYunXNYrScseLkwrYtNNHhBdu+1USEV7weuD7FaVM/Ka4YpnRQ6M5bkg0fr9j0Zoy3v265v2XNA2qRDZ+xc65gQBmdiLwN2BUcN464DTg7uDnc4Gl9R3gT2UGvzolgUdfzSErz8e9V6Uyf2UJ23b7Ksr07x5Fy1Qvt/8rk67tIvn1qYn89fksAGYsKGbKnCKuOiup2nrPGxPPB1MLWbymlP7dozh/TAIPvZRdr9sWbn6/j89fv48LfvsiCSkteelv4+jefzTpbbpVlElKb8fFv5tAdFwSa5dM49MJd3PJH9/G4/UyetwfadWhDyV7CnjpwXPofNjIass2JX6/j/dfup+r//Q8Sakt+dfd59Nn8HG0bFe5P1Kbt+Pau18mNi6JFQum885/7uWm+94kN2snMz6bwB8emURkVDSv/usWFsz8mGGjzgrjFoWXz+fjP08/zt33/4PUtOb86ZarGDpiJO07dK4o03fAEB4bcRRmxsb1a3j84Xv5v2f+y6YN65jy2ST+9vh4IiIjeOCeWxk89Ahat20fxi1qOPx+H1+9fR9nX/8iCcktee2xcXTtO5q01lV+92ntOPemCUTHJrF+2TS+fONuLvz922GM+tCy5eX32PDUBAa+8HC4Q2nwzODEIR5en+onrzhQGVy9zZGRV1mmuBS+mO+nR9vaBy8Z1t3IzHNERTb+wU1qYwYXnRjHP17PIzvPz52XJbFwdRnbMyrvk/p2jaRFqpc7n8mhS5sILj4pjr+9nEe5D/7+31xKygKVyNt+lciStWWs21ZOz44RDOgeyV+ez6HcBwmxTXP/1kVTyESqT2TTkghUrRUVA8vNbGjw8/nAW/Ue1U/UpW0kO7N87M724fPB7CV7GNSzeoZmUM9mfLsw8NRt7ZYyYqONpPjA4b5qYxmFxTWfTDoHMc0CJ8SYZh6y8301yjR22zcsIqVFR5Kbt8cbEUXvYaeyetGUamXadR1MdFygAt6280Dys3cAEJ/UglYd+gDQLDqetFZdyM/ZWb8b0IBsWruY9JYdSGvRnoiIKAYefjJLv/+qWplOPQYRG9yXHboPIDercn/5fT7KSvfg85VTVrKHxJQW9Rp/Q7Nm1XJatW5Ly1ZtiIyMZOQxxzNv1oxqZWJiYjEL/Ib37NmDEfh765aNdO/Vm2bR0Xi9EfTuO5A5M6fX+zY0VDs2LiK5eUeS0wO/+56DT2Xt4uq/+zZdBhMdGzhWW3caSH7OjnCEesjKmjGPsqzccIdxSGiTCtn5kFMIfj8s2+Tovk9lsagEtmcF5u8rIQa6tTEWrGsCd/H70blNBLuzfWTk+PH5Ye6yEgZ2j6xWZmCPKGYtLgFg3bZyYqM9JMUF9nNJWaCM1wNer7F3Tx47OJpPZ+6hPHh7lF/UdPexKBPZFMSY2QIgGmgNjN5n/hvABWa2g0Bz121Am3qN8CdKSfSQlVd55cjO89OlXeQ+Zbxk5e2pUsZHSqKH3IL9N2t57dN8bv1VCuePTcBjcP9/skIffAOXn72ThJRWFZ8Tkluybf2i/ZZf+O07dOl7TI3pORlb2LV5OW06DzgocR4K8rJ2kpxWuS+TUluxae3+9+Wcqe/Sa8DRwbItGXXqZTxw0/FERkXTo9+R9Ow/8qDH3JBlZe4mrXllRTo1vTmrVy6vUW72d9N57ZVnyc3J5k/3PgJA+46def2V8eTn5RIV1Ywf5s2ia/ee9RZ7Q1eQs5OE5MpjNT65JTs27v9YXTLzHTofVvN3LxIKCTGQV1xZOckvgjZpdV9+zCAPXy30E9WE73CTE/a5T8r307nNPvdJ8TXLJCd4yC30YQZ3X55E8xQvU7/fw/ptga49LVO9dG8fwS9GxVDmg3emFLJhe9N74F4X/iZQv1YmsvErds4NdM71Ak4CXrG9j+oDPgXGABcCb4YjwJ+q1sYT7sBlDtS0YPSwWF7/NJ/f/yOD1z7L5/IzE//HCA9ltewkq725ysaVs1j03Tscd9at1aaX7ink/fE3cfx5d9AsJv5gBHlIcLXsy/3sStYsnc3cqe9xygW/B6CoMJel33/Fn/75BXf/eyqlJcV8P2PiwQz3kFTb/hxx5DH83zP/5ba7HuTNCc8D0K59J84cdzF/vfsWHrj3Vjp17obX663naBuy2o7V2g/WzatmsXTWOxx15q21zhcJp26tobDEsaNp9USpofZf74FvlPaWcA7u+08utz2RTac2EbRpHjhfejwQG2387eU83plSxG/OSghh1HKoUSWyCXHOzQTSgeZVppUC3wO/B96t67rM7Gozm2dm81Z9/2rIY/0xWXl+UhMrD92UxJpNT7PyfKQmequU8ZKT/+Od60cOiGbe8kDTjrlLS+jSNvJHyzdGCSmtKpqnAuTn7CQhuWYzyl1bVvDJq3dxzrVPEROfUjHd5yvj/fE30Wf46fQcNLZeYm6oklJbkZNZuS9zs3aQWMu+3LZpJW8/fw+X/u7fxCUkA7B6yUxSm7clPjEVb0QkfYeNYePqBfUUecOUmtaczN27Kj5nZewmNTV9v+V79x3Ijh3byMvNAeD4safxyP+9wH0P/5v4hARat1F/yL3ik1tVa55akLOTuMSax+rurSv44vW7OOOqp4iJS6kxXyQU8oshMaayhpMQG5hWF+3Sje5tjOtO8/CLIzx0agFnjGh6/fay8/e5T0rw1LgHqq1M7j5likscqzaW0bdL4H4oO8/PDytLAdiwvRy/g3j1i6yVc1Zv/8JFlcgmxMx6AV4gc59Zfwdud87tO32/nHPjnXNDnXNDewz5VSjDPKD128pomeYlPdmD1wsj+kYzf2VJtTILVpYwckA0AF3bRVJc4n60KStATr6fXp0CJ8rDOkexM7PpNdFo3bEfWbs2kJOxGV95KcvmTqZb/+otoHOztvHeszdy2mWPkNqyclAT5xwfv3Inaa26MPyEy+o79AanfZe+ZOzYSNauLZSXl7Jg1if0HnJctTLZGdt45Z83ceG1D9G8daeK6Slprdm0ZiGlJcU451izdBYt2nSp5y1oWLr16MX2bVvYuWMbZWVlfDt9CkNHHFWtzPZtW3DBJgfr1qykvKyMhMRAP77cnEBqYveuncyeOZ2Ro06o3w1owFp16Ef27g3kZgZ+9yt/mEyXftV/93lZ25j0nxs56VePkNKi837WJPLzbcuClARIigtkvnp3MFZvrVvbwKmLHf+e5Oepj/x8MNPPhl0wcXYTaFe4jw3bymmR4iU9yYPXA8N6N2Ph6rJqZRauKuXwfoHxJLq0iQjcJxU64mOtYnyIyAg4rHMkO4L3QwtWlVbcJ7VM9RDhhQL1i2yymnCL8SZjb59ICDReuMQ556vaVMk5t5RDYFTWvfx+mPBxoP+ix+Cb+XvYttvHcUNjAPh6XjELV5fSv3szHrkpjZIyx38+rBzW7ZpzkujVKZL4WA+P/y6dD74uYPr8Pbw4KY+Lg68NKSuHFyfl7S+ERsvjjWDs+ffw5r+uxPl99D/yHJq36c786a8DMOiYC/l28pMUF+bw+et/CSzj8XLpHe+xZe33LJ39Ic3b9uCF+88EYNSZv6Nrv1H7/b7GzOuN4BeX3slzD1+F3+9n+KizaNWuOzO/fAOAI064gC/ff5qi/Fzee/G+imV+e//bdOg2gH7Dx/LPO8fh8Xpp2/EwDh/dtF9J4fVGcMU1t/DAPb/H7/dz3JhTad+xM59//AEAY0/5BbO/m8a0rz7F640gKqoZt9z+l4pmmY89eBf5+blEeCO48ppbiI9XM6y9PN4IRo+7h/eeCvzu+xx+Dumtu7NwRuB3P+CoC5n96ZPsKczhq7cDv3vzeLn4D++FM+xDysBX/07aqOFEpacwev00Vt/3BJtffCfcYTVIzsHnP/i5YJQHT/AVHxl5MKhr4Lc8f60jLjowamuzyED5YT2M8Z/4KW16b+Wqld/Ba58XcvMFiZgHvl1YwrYMH6MGBSqN0+aXsHhtGf26RfHAtcmUljle+qgAgKQ4D5efHo/HE+gyMG95KYvWBCqgMxaWcOlp8fz5qiTKffDipIKwbWND1xRGZzXXFLZSDqpL/7xTB1GIjBrVMtwhNCppCU0vm3wwdUqqc2MFqYPv1jXtEXdDqf1pGigplBZOWBbuEBqV9Wtzwh1Co/HcHWmHRPvZV6bVNsjEwfHrUfvpBnuQKRMpIiIiIiISIhqdVURERERERKQKZSJFRERERERCpCn0FlQmUkREREREROpMmUgREREREZEQUSZSREREREREpApVIkVERERERKTO1JxVREREREQkRPSKDxEREREREZEqVIkUEREREREJEefq719dmNlJZrbSzNaY2R9rmX+xmS0K/vvOzAYcaJ2qRIqIiIiIiDRCZuYFngROBnoDF5pZ732KrQdGOef6A38Fxh9oveoTKSIiIiIiEiJ+f7gjqGY4sMY5tw7AzN4AzgSW7S3gnPuuSvlZQLsDrVSZSBERERERkcapLbC5yuctwWn7cwXwyYFWqkykiIiIiIhIiNS1r2IomNnVwNVVJo13zlVtjmq1LFZrhGZ2HIFK5FEH+l5VIkVERERERA5BwQrjj/Vh3AK0r/K5HbBt30Jm1h94HjjZOZd5oO9VJVJERERERCRE6jMTWQdzge5m1hnYClwAXFS1gJl1AN4DfuWcW1WXlaoSKSIiIiIi0gg558rN7AbgM8ALvOCcW2pm1wTnPwPcA6QBT5kZQLlzbuiPrVeVSBERERERkRDxN6xMJM65j4GP95n2TJW/rwSu/Cnr1OisIiIiIiIiUmfKRIqIiIiIiISIq9dOkbUNvnrwKRMpIiIiIiIidaZMpIiIiIiISIg0sNFZDwplIkVERERERKTOVIkUERERERGROlNzVhERERERkRDx+8MdwcGnTKSIiIiIiIjUmTKRIiIiIiIiIaKBdURERERERESqUCZSREREREQkRPzKRIqIiIiIiIhUUiZSfrbcjLxwh9BobNuZHu4QGpVZs3PDHUKj0q9/83CH0Mg0gUfV9WThhGXhDqFRGfDL3uEOoVFZ9+dvwx2C1DP1iRQRERERERGpQplIERERERGREHH12inS6vG7KikTKSIiIiIiInWmTKSIiIiIiEiIaHRWERERERERkSqUiRQREREREQkRjc4qIiIiIiIiUoUykSIiIiIiIiHibwKdIpWJFBERERERkTpTJVJERERERETqTM1ZRUREREREQkQD64iIiIiIiIhUoUykiIiIiIhIiCgTKSIiIiIiIlKFMpEiIiIiIiIh4m8CqUhlIkVERERERKTOlIkUEREREREJEecPdwQHnzKRIiIiIiIiUmfKRIqIiIiIiISIU59IERERERERkUrKRIqIiIiIiISIX30iRURERERERCopEykiIiIiIhIi6hMpIiIiIiIiUoUykSIiIiIiIiHib/yJSGUiRUREREREpO5UiRQREREREZE6U3NWERERERGREHFNoD3rASuRZuYDFgORQDnwMvBP55zfzIYCv3bO3fQjy18KDHXO3VDXoMzsDufcg3Utv8+yLwGjgFzAD1zvnJtZx2UvJRirmV0DFDnnXvlf4qjj93UClgMrq0we7pwrDdH6LwU+d85tC35+HnjcObcsFOsPtyvGNWdIn1hKSh1PvLqTdVtKapRpkRbB7y9rTXysh3WbS/i/V3ZQ7oPh/eK48LQ0nAOf3/HCO7tZvm5PxXIeg0dva09Wro8HntlWn5sVdl1awdjBHsxgwTrHzOXVT4RpCXDaCA+tUmDqIsfsldXnm8HlYz3kF8Fb3zSBFyXto0/nSM47IRaPB2YsLOGzWXtqlDn/hFj6do2ktMzx0uRCNu/0VcwzgzsuTSQn38+T7xQAMLhnJKcfFUOrdC8PvZzHxh2+GutsCjYu/4bp7z+Ac356jxjH0BOurjY/a+c6prz+J3ZtWcYRp97M4OOuqJg3f+pLLJv1DpiR1ro7J1z4NyIim9X3JjQoP2d/Lpj2CktnvQ3O0eeIcxk46pL6Dr9B6dIKxgwKnDcXrnPMXFHzvHnq8MB5c9ri2s+bl43xkF8MbzfB8+ZP1f+5B2lxyrGU7spk+qDTwx1Og9SnSyQXjo3DY8Y3C/bwycziGmUuHBtHv65RlJY5Xvgon007fER44fZfJxHhNTwe+H5FKROnF1VbbuyIGM47IY6bH8+koLjxV5akdnVpzlrsnBvonOsDjAFOAe4FcM7N+7EK5M9wx89c/g/OuYHAH4Fn/5cVOOee+SkVSDP7X7O6a4P7d++/kFQggy4F2uz94Jy7srFUIAf3jqVN80iu+8tGnn59F7+5oEWt5X59ZjqTvs7m+vs2Uljs5/gjkgBYtLKIW/62id89tIl/T9jJdRe1rLbcaccls2Vn2UHfjobGDE4a6uGNaX6e/cRPnw5GemL1MsWl8PkPfmavqP3CMayHkZHXNC8qZnDh2FieeCufPz+Xy7DeUbROq36a7dslkhYpHu5+NpcJnxZy8Ylx1eYfPzSaHRnVK4nbMnw8834BqzeXH/RtaKj8fh9T372PM65+jotv/4hV8yeTtWNNtTLRsUkcc/ZdDD7u8mrTC3J2suibVzn/d+9w8e2TcH4/q+dPrs/wG5yfsz8zt69i6ay3Oe+Wt7jwDx+wfulUcnZvqMfoGxYzOHGIhzen+xn/qZ/eHWs/b34x31+j8rjXsO5GZhM9b/4vtrz8HnNOuzLcYTRYZnDxSfH884087n42m+F9mtE63VutTL+ukbRI9XLH09m88nEBvzwpHoByHzw2IZe/PJ/Dfc/n0LdLJF3aVN7ipiR46N05kszcpvkws66cq79/4fKT+kQ653YBVwM3WMCxZvYRgJkNN7PvzGx+8L89qyza3sw+NbOVZnbv3olm9kszm2NmC8zsWTPzmtlDQExw2n9/pJzXzF4ysyVmttjMbqkl5OlAt/2tIzj9MjNbZWbTgJFVYvuzmd0a/HuYmS0ys5lm9qiZLQlOv9TM3jazScDnZhZnZi+Y2dzgfjgzWM4bXG5ucD2/+bH9bGYFVf4eF8yuEtzefwX37zozG1el3G3B/bDQzB4KzhsK/De4zTFmNjWYPcbMLgyWX2JmD1f9bjN7ILieWWZWvXbVQAzvH8/Xc/IAWLVhD3ExHlISvTXK9esRy3fzA7vz69l5jBgQuGHfU1r5q4tuVv1nkJYcwZA+cXz5Xe7BCr/BapMKWfmQUwh+Pyzb5OjR1qqVKSqB7Vngq+XElRAD3doYC9Y2zZuhzq0j2JXtJyPXj88P85aVMqB7VLUyA7pHMmtJ4FnR+m0+YpoZiXGBfZycYPTrGsmMRdWz6jsy/ezMatrZiZ2bFpGc3oGk9PZ4I6LoMegU1i2ZUq1MbEIaLTv0w+Ot+UzP7/dRXrYHv6+c8rJi4hJrf/DUVPyc/Zm1cx2tOg4gMioGjzeCtt2GsXbRl/UZfoPSJhWy9zlvdt/PedNfy8+44ry5rmmeN/8XWTPmUZbV9K7RddW5TQS7snxk5ASuRXOWlTCwR/Vr0cAeUcxcFGgps25bObHRRlJ84LgtCT5D93rA6zWqHpnnj4njna8Kw1p5kYbhJ2fPnHPrzMwD7HsFXgEc45wrN7MTgAeBc4LzhgN9gSJgrplNBgqB84GRzrkyM3sKuNg590czuyGYScTMDqutHLAUaOuc6xssl1xLuKcDi/e3DjP7AvgLMIRA89evgfm1rOdF4Grn3HfBSm5VR/x/e3ceX0V1/3/89blJgJCErIBsyiK4gIqAK9atalv3Ba3UVnGjtVrrr1Vr6/rVal3q8nWvWhWrVvtVq4jUpS6ACCiyCgoioCiyZ4WQ7X5+f8wkuQk3IcCFhOT9fDzyyL0z586cOXfmzJz5nDMX2Nfd15nZbcB77n5BmJ+Pzey/YX4L3f0AM2sPTDaztwEH+pnZrHBZk9390jjrj9UNOAzYExgLvGRmPwFOBQ5y9w1mlhPm5zLgSnefHpYR4f/uwB3hducTNIBPdfdXgTRgqrtfa2Z3AhcDf95Mnna43Kxk1ubXRmXWFlSSk5VMflHtnbGMtAjrS6tqTtpr8ivJzazd5Q/aN42fn5xHZkZSnS6rF5yRx5hX15Daoe09dyojFYo31J4ZikqhR07TP3/skAjvzYrSLmU7ZG4nkJVh5BfX7oP5xVH6dE+ulybCuuLaK8mC4ijZGRGK1ldx1g/TePn9DXRoX/cCVGB9wUrSs7rVvE/P3IUV38xu0mfTs7qy/5EX8PTNR5OU0p5d9xjOrnsetr2yulPYlvLM7dafqePvpXR9PskpHfh6/gS69Bq0vbLa4mWkQlFMl77iDdA9t+mfP3b/CO/NjtJOT6mQBMnOiJAfc57JL4rSt0f9c1ES64rK6qTJykiisKQSM7j+wiy6ZCfx/vRSliwPrrf269+OguIo365SFHJzohoT2aB4VziZwBgz60/QOIq9jHzH3dcCmNkrBI2gSoJGzCdh4yYVWBVnuT9sIN3rQF8zewB4A3g75jN3mdl1wGrgwkaWcRDwgbuvDvP2IjCgzoYGjcEMd/8onPQ8cGK9bVsXvj4OOLk6ggl0AHYNp+8bEznMBPoDCwm7s8bZ7oa86u5RYH5MlPAY4Cl33wAQk5+GHEDd7X4OOBx4FSgHxoXpPiXowrxTqH9XrLrRXCdNzOtpc9Yzbc569u7XgZEn5HLTg98xbFAahcVVLF5WxsD+qds3wy1RnCO7qdXg7t1hw0ZnRT7s2raDPI2KV3m6B12LijdE+WZlFQN21dVkffH2Q4tbmpvauKGQJZ+9y3nX/5d2qRn85+kr+GL6WPYcdnJiM7kT2ZbyzOnajyFHX8xrj1xISvuO5HXfk0hE++zW2L0brC8L683OzZ0bac02vUZqOJE73PxEAantjUtHZNC9cxJr8qs4YXgq9/6zaPtnVnYKW1zrm1lfoIqgEbZXzKxbgPfd/TQLHhjzQcy8+ucrJ7iWGuPuf9zcKhtKZ2b7AT8CLgXOAqoHblzl7i/FpDsq3jLM7NQ4eYu3/sasr5f2DHePfVAOFrRmfuPub9Wb3ruBZcbmqUO9ebH93Czm/5bc8mhsmyrca6qaKhrYR8xsNEHXZgYfeTO9B569BavfOj85PJNjDw3GNC76eiO52bVZy81KJr+w7nixopIq0lKTiESCLkR52cmsK9x0TNn8rzayS14KGWkR9uzbgQP2SWPowDRSUoyOHSJccW5X7ntm5fbduBaieANkdKzdnTqlQsmmY/Hj6pln9O9h9OtuJEegfQqcfLAxdmrrvxtXraDYyc6o7VadnRGhoLhu/7X84ig5GRG+Ct9nZUQoKIkyZM927Ld7Owb1SyElyUhtb1xwYhpPjluPBNHEkoLva96XFK4gLbNpdyuWLZxCp9yepKYHYfV++x7LiqUz23QjclvKE2DgwSMYeHBwX/SjN+4hPXOXhOdxZ1FcCp1Sa+vNjI7BtKbomWf072706xZTbx5kjJ3WdupNSbz8sIdLtexOwXmmTpqiKnI6NZ6mtMxZ8E0Fg/q2Y97icvKykrjxoqya9NdfmMWtTxVQtF77a33eBvr7blF/PTPrDDwKPOiblk4m8F34elS9eceaWY6ZpRJ0u5wMvAuMMLMu4bJzzGy3MH2FmVVHMuOmM7M8IOLuLwPXA0MayXpD65oGHGlmueH6zqz/QXfPB4rN7OBwUmOtpbeA34SNRsxs/5jpl1Rvk5kNMLO0BpYBsNLM9gq7DZ/WSLpqbwMXmFnH6u0LpxcDGXHSTwOOMLM8C8aGjgQmNGE9Ndz9MXcf5u7DdkQDEuA/Ewv53e3Bw3CmzSnhqAODJxcM6N2BDaXROl1Zq322cAOH7h8MFj/qoE58PCe4IN8lrzZQ3rdne5KTjeL1UZ4du5aLr1/KL29cyt1PrWDuwtI204AEWL4OcjIgMw0iEdh7V2Phd02rCD+Y4zwwNspDr0f595QoS1fSphqQAEu/r6RLToTczAhJERi2dztmL6r7gKbZiyo4eFAwNqVP9yRKy5yi9c6rE0q55uECrn2kkCfGlvDF1xVqQMbo2msfClZ/TeHab6mqLGfhzPH0GXh0kz6bkd2NFUtnU1Feirvz7cIpZHfpu51z3LJtS3kCbCheC0Bx/nK+mvMOA4acsL2y2uItXwfZ9erNL5tab851Hnw9ysPjorw6JcrSVagBKdts6fJKuuYkkReeiw7cuz2zF9Z9buOsL8s5ZN8gTtG3ezKlZU5hiZPeMbiJCZCSDHv1bseKtZV8t7qK3923jmseyueah/LJL4pyy9/VgGzLmhKJTA3H7FX/xMc/gHvipLuToDvr74D36s37MPzc7sDzMWP0riMYjxcBKggiil8DjwFzzGyGu5/TQLpS4KlwGkCDEU13nx9vGe4+1cxuAqYA3wMzgE2fzhJ0iX3czNYTRFgbGs19C3BfmHcDlhJ0fX0C6A3MCKevJmhMN+Qagi6ly4DPgPRG0uLub5rZYGC6mZUD4wmecPs08KiZlRKM3axO/72Z/ZFgDKgB4939tcbW0dJ8Om8DQwem8ciNu1FW4TzwbG1D77pLuvPQ8yvJL6zimdfW8Pvzu/GzE3NZsqyM/04JumEcMjidIw/KoKoKyiui3P3k9w2tqk1xh7c+jTLyiAiRSPCo+jVFMKRfcEKZ8ZWT1iH4CY/2KUH6A/cw/jY+SnnbfXBojajDC29v4Lc/zSBiMHlOGd+vqeLwwcFPSUycVcZnX1WwT98U/vzLTMornDHjN99QHDwghbOPSSO9o3HZmRksW1nF/f8q3t6b06JEkpI54ozrGfu3C4lGo+x90BnkduvP3MkvALDP8LNZX7SaF+8ZQfnGEswizJrwDD+/5g122W0/+u13HC/cfTqRSDKde+zFoEN/2sxb1Ly2pTzbdUhn/FOXs3FDAZGkZI484wY6dMxs5i1qPu7BE6vPPiJCxGrrzf3DenNmWG+ef2xtvXnAAOOx/6je3FqD/3E3uUccSLu8bI5eMoEvb36AZU+9tPkPthFRh+ffKuGKkZlEIjB59kaWr6niiCFBo3HCjI3MXVTBPv3acduvsymvcJ4aFzyEMCs9wgUnBecwM/jk8zLmLGp7T6vfVt4GnoVnbSHcuq3MLN3dS8LX1wDd3P23zZytFuO0y77UTpQgww5r29GRRPtmqZ7el0j77Jvd3FkQiauouA1cse1A+/187+bOQqvy75smN3cWWo0nrs3bKZ48d/WjO+4HNO/8VWqzlIlGwjfNCWHkLpkgUjqqebMjIiIiIiItUbQNBOnUiGwCd38ReLG58yEiIiIiItLc1IgUERERERFJkLYwXLDt/Zq6iIiIiIiIbDVFIkVERERERBIkGlUkUkRERERERKSGIpEiIiIiIiIJ0gaGRCoSKSIiIiIiIk2nRqSIiIiIiIg0mbqzioiIiIiIJIjrwToiIiIiIiIitRSJFBERERERSZBoG3iyjiKRIiIiIiIi0mSKRIqIiIiIiCSIxkSKiIiIiIiIxFAkUkREREREJEEUiRQRERERERGJoUikiIiIiIhIgrSBQKQikSIiIiIiItJ0ikSKiIiIiIgkiMZEioiIiIiIiMRQJFJERERERCRB3BWJFBEREREREamhSKSIiIiIiEiCRDUmUkRERERERKSWGpEiIiIiIiLSZOrOKiIiIiIikiB6sI6IiIiIiIhIDEUiRUREREREEsT1YB0RERERERGRWopEyjYbc8HS5s5Cq/F2Rb/mzkKr0qdndnNnoVV5+I6JzZ2FViW35y7NnYVWo0uvvObOQquy+KbJzZ2FVuW0m4Y3dxZaj2sXNHcOmkSRSBEREREREZEYikSKiIiIiIgkSFRPZxURERERERGppUikiIiIiIhIgmhMpIiIiIiIiEgMRSJFREREREQSxDUmUkRERERERKSWGpEiIiIiIiIJEo36DvtrCjP7sZktMLNFZnZNnPlmZveH8+eY2ZDNLVONSBERERERkVbIzJKAh4CfAHsDI81s73rJfgL0D/9GA49sbrkaEykiIiIiIpIgLezprAcCi9x9MYCZvQCcAsyPSXMK8IwHgzmnmlmWmXVz9+8bWqgikSIiIiIiIq1TD2BZzPtvw2lbmqYONSJFRERERER2QmY22symx/yNrp8kzsfqh0qbkqYOdWcVERERERFJkB35Ex/u/hjwWCNJvgV6xbzvCSzfijR1KBIpIiIiIiLSOn0C9DezPmbWDjgbGFsvzVjg3PAprQcDhY2NhwRFIkVERERERBLGo9HmzkINd680s8uAt4Ak4El3n2dmvwrnPwqMB44HFgEbgPM3t1w1IkVERERERFopdx9P0FCMnfZozGsHLt2SZaoRKSIiIiIikiDRlvUTH9uFxkSKiIiIiIhIkykSKSIiIiIikiA78umszUWRSBEREREREWkyRSJFREREREQSxDUmUkRERERERKSWIpEiIiIiIiIJokikiIiIiIiISAxFIkVERERERBIk6tHmzsJ2p0ikiIiIiIiINJkikSIiIiIiIgmiMZEiIiIiIiIiMRSJbOXM7DTgFWAvd/+iufOzPXw0az53P/MS0WiUU446lFGnHFdn/qfzF/L7vz5G9y65ABx1wGAuPuMnNfOrolHO/dOddMnJ5N6rL9mheW+JFs6ZxBvP3kY0GmXYESM44qSL68yf9dHrTHzjCQDat+/IyaNupNuuewJQur6Ifz95PSu//RLDOP2iP7Nr//13+Da0FIvmTuLNf95K1KMM+cEIDjt+dJ35c6a+zuT/PA5Au/YdOeEXN7FLrz1r5kejVTx+8wgysrvws9/+bYfmvaX67eh+HDI0l41lVdz2vwtY+FXJJmlOP6E7Z53ck57dUznhnMkUFlUCsGvPVP702z0Z0C+dx/+xhH/++9sdnf0W4eKzujB0YBpl5c7/PvM9i5eVbZKmS24KV13YjfS0JBZ/s5F7n/6eyqra+bvv1oE7r96Vvz6xnI9mlpCXncwV53Ujq1MS7vDWhwWMe79gx21UMxjYN4Wzj00jYjBp9kbenLJxkzRnH9uRffq1o7zSeer1Er5ZWUVyElz9i0ySkyApAp9+Uc7YSaU1nzl6WAeOGtqBaNSZs6iCl9/fsCM3q9kM7JvCyOPSiJgxadZG/jOldJM0I49LC8qzwnlyXDHfrAjK8w/nZpKcZESqy3Ni3TI77qBUzjomjSvuWUtJaeuPEG2JfR+/jS7HH0n5qrVM3P+k5s6O7ETUiGz9RgIfAmcDNzVvVhKvKhrlzqf+xYN/uoyuuVmcd+1dHD50H/r27FYn3f579muwgfjCf96nT4+urC/d9AKgrYlGq3j9mVs4/+q/0ymnK4/ceBZ7DTmKLj12r0mT3bknF//pGVLTMlkweyKvPnkjl9z0IgBvPHsb/fc5jJ/95n+prCynoqztlmk0WsX4527mF79/kk7ZXXn8ljPZY/DRdO4eU5Z5PRh19T9ITcvky7kTGTfmBi667l8186e98wx53ftSVrppQ6ktOnhoDr26d+TsX37MwD0yuPKS/oy+cuYm6eZ+XsRHn8zmgdsG15leVFzJfY8t4vCDc3dQjlueoQPT6NYlhV/duIQBfTpwyciuXHXnN5ukO++0PMa+l8+k6cVcMrIrxwzP4s2JBQBELJg/c/76mvRVVc6TL69i8bIyUtsbd/+xN7M/38CyFeU7atN2KDP42Y/SuPefReQXRbn2/Exmf1nB92tqW9qD+qXQJSeJax8toG/3ZM75cRp/GVNEZRXc/VwhZRVBI/LqX3Tis68qWLy8kj12S2a//in8zxMFVFZBRkdrxq3ccczgnB+nc8/zheQXRbnugixmfVlepzz3CcvzT4/k07d7Mj//cTq3PV1IZRX89dna8vzDuZl8tiiZxcuDm0fZGRH27pPC2sKqhlbfpn075hWWPvwsg5+8o7mz0qqoO6vs1MwsHRgOXEjQiMTMImb2sJnNM7NxZjbezEaE84aa2QQz+9TM3jKzbo0svkWYt2gpvXbJo2fXPFKSkzn2kCFMmD6nyZ9fuTafD2fO45SjDt2Oudx5fPvVHHK67EpOl14kJ7dj34OP5/MZ79VJs1v//UlNywRg1933ozB/BQAbS0tYumA6w44YAUBycjtS0zrt2A1oQb5bHJRldudeJCW3Y+CBx/PFzHfrpOm1+5CasuzZdz+KwrIEKFq3gi/nTGDID87cofluyX5wcC5vvheU0bwFxaSnJZOb3W6TdF8uLmHFqk2jawWFFXzxZTGVla3/5N6QA/dL5/2pRQAsXLKRtI5JZHdK2iTdvnt0ZPKMYgDem1rIwful18w74ahspswsobC49qI8v6iqJqJZWuZ8u6KMnKzWe5+6T/dkVudXsaYgSlUUPplfxuD+KXXSDB7QjqlzgzJZvLySjh0iZKYFjcKyiiBNUgSSkozqPfLIIR14c8rGmqhv8Ya2sa/26Z7MqnW15fnx/DIGD6h7bA8e0I4pc4Ibk0F5GpnpjZcnwE+PTeOl99bjbaMot9i6D6dTsa6wubMhOyE1Ilu3U4E33X0hsM7MhgCnA72BfYCLgEMAzCwFeAAY4e5DgSeBW5shz1tkdX4hXXOza953zc1mdf6mleHcL5fwsz/8hctvf5ivln1fM/2eZ17m8p+dSiTSNu72bk5R/ioyc3eped8ppyuF+SsbTD99wssM2PcHAKxbtYyOnXJ4+fE/8eB1p/PK36+jvKxtdMOKp7hgJZ1yau/DdMreheKChsty5qSX2H2fw2vev/nCbRxz5pWYad+slpfbnlVrahuHq9aWkZe7aSNSGpablcya/Mqa92vyK8it19jLSEti/YYo0fAJ9WsLKmsahDmZyRy8X3pNVDKeLjnJ9O3VgYVLW29PhKyMCOuKah/hn18cJSujbmM8Oz1emuCyywxuuDCTu6/I4fMlFSwJo2Zdc5Lo3yuZP57XiSt/3one3TZt4LdG2RkR8otjyqooSnZG3UvUrIykuuVZVFvmZnDDRVnc8/9ymb+4vKY89+vfjoLiKN+uUhRSdix332F/zUWNyNZtJPBC+PqF8P1hwP+5e9TdVwDvh/P3AAYB75jZLOA6oOeOze6Wi3fw1L/k3qN3L8Y+cAvP3/FHfvqjI7jqnscAmDRjLtmdMtir7647IKc7BydeecZvxCyeP41PJ7zMj8/6PQDRqiq+Xzqfg354Npf9+RXate/IhNcf3675bcni1+vxy3LJF1OZ+eHLHDMiKMuFs98nLSOX7r0Hbb8M7oTilp6iC1skXhnWL8J49y2q9+eLzuzCmFdX01BPrQ7tjT/8sgdP/N8qSje23t9Ji38k+2YTVadwh5v/XsjVD+TTu3sy3TsHjaFIBDp2MP4ypoiX3t3AL0/LSGCudy7169C499PCRO5w8xMFXHX/OvqE5dkuGU4YnsprE9vuzUyR7an19jVp48wsFzgaGGRmDiQRnL/+3dBHgHnufkgTlz8aGA1w37W/5fzTT9j2TG+FLjlZrFybX/N+5dp88rIz66RJ75ha83r4/gO548kXKSgqYfaCxUyaMZePZs2jrKKC9aUbuf7BMdxy2Xk7LP8tTWZ2VwrXxnapXEmn7C6bpFvxzQL+/eT1nPf7v9ExI4gEZ+Z0pVNOV3r12w+AQQccx4RxbbcR2Sm7K0XraqPeRfkryMjatCxXLlvA609fzzlXPEbH9KAsv1k0gwWz3+PLuROorCinbGMJrzx+FadffNcOy39Lcfrx3TnpR0FE9/Mvi+mS175mXpfc9qxZ1zrH3CXS8UdkcezwoF5c9PVG8rJrT/152SmsK6isk76opIq0jhEiEYhGg+hlfmGQZvfd2nPlhd0B6JSWxNBBaVRFYdrsEpIicM3oHkz4uIips1r3ON784ig5nWrvw2dnRCgojm42TWG9NKVlzsKvKxjUN4Xlq6vIL4oyY0GwTy/9vpKoQ3pHo6SVd2vNL64beczuFKGgpF55FlXVLc84aUrLnAXfVDCobzvmLS4nLyuJGy/Kqkl//YVZ3PpUAUXrW3d5SvOLRlvvTbRqakS2XiOAZ9z9l9UTzGwCsAY4w8zGAJ2BI4HngQVAZzM7xN2nhN1bB7j7vHgLd/fHgMcAima802y18d79duObFav5btUauuRk8c6UGdxy2ag6adYUFJGbmYGZMW/RUqLuZGakcdnIU7hs5ClA8ATXZ8e926YbkAA9+u7D2pVfs271t3TK7sKcqeM565K6DZeCNct57v7LGfHLO8jr1qdmekZWZzJzurH6+yV07taHr+ZNpUvMQ2Tamh59grLMD8ty3sfjOX30X+ukKVy7nBcf/g2nXXQHubvUluUxZ/yeY84IopJLv5jGR2892SYbkACvjF/OK+OXA3DIsBzOOLEH/524moF7ZFCyoZK1+WpEbs74CQWMn1AAwNBBaZxwZBaTphczoE8H1pdWkV+0aVe/uQtKGT4kg0nTizn64EymzQ4ahaOvX1KT5vJzd2H63JKaeb/5xS4sW1HG2HfzN1lea7N0eSVdspPIywy6YR6wd3ueeK1uw3n2wnKOGtaBj+eX07d7MqVlTuF6J72jUVUVNHhSkmGvPim8GT6JdNbCcvbsncLCbyrpmhMhOYlW34CEoDy75tSW54F7t+fxV4vrpJn1ZTlHD0utW54lccqzdzvenLKB71ZX8bv71tV8/vZLs/nzkwV6OqtIgqgR2XqNBG6vN+1lYC/gW+AzYCEwDSh09/LwATv3m1kmwb5xHxC3EdlSJCclcfWos7j8Lw9RFXVOPvJg+vXqxsvvTALgjGN/wHvTZvLSO5NITkqifbsUbr38fI0za0BSUjInnXsdT995Ee5Rhhx+Ol179mfae0Gv6IOOPpv3XnuYDSUFjB1zMwCRSBKX3vwSACf+4lr+9chVVFVVkNO5F2dc3OKH1W43kaRkjj/nep6990I8GmXwYWfQpUd/pn8QlOWwI89mwusPU1pSwBvP1pbl6Btebs5st2hTpq/jkGE5vPjYgTU/8VHtrhsHcfsDC1m7rpwRJ/XgZ6f3Iie7HWPuH8aUT9dxxwMLyclK4Yl7h5LWMYloFM48uSc///UnbChtO+OlPv1sPcMGpfHozX0oK3ceeKY2Wn79pT146NkVrCusYsyrq7nywm6cc1Iei5eV8c5HjT94Y69+qRx1cCZLvy3j3j91BODZ19bw6bz1jX5uZxV1eP7t9VxxdicsApNnl7F8TRVH7B9EyifMLGPuVxXss3s7br0ki/IK5+lxQSMzMy3CBSelE4kEXTSnf17OnEXBk2E+nF3GqBPTueniTCqr4KnXW3dEt1rU4fm3SrhiZCaRCEyevTEozyEdAJgwYyNzF1WwT7923PbrbMornKfC8sxKj3DBSRlELCjPTz4vqylP2bzB/7ib3CMOpF1eNkcvmcCXNz/Asqdeau5s7fTawtNZrTkHZErzMLN0dy8Ju7x+DAwPx0duleaMRLY2b1f8sLmz0KqUV+hmQSI9fMfE5s5Cq5Lbc5fNJ5Im6dIrr7mz0Kro2jCxTrtpeHNnodU4oWLBTnFiP/Hi+TvsIBr3+N7NUiaKRLZN48wsC2gH3LItDUgREREREanlrjGR0gq5+5HNnQcREREREdk5qREpIiIiIiKSIG1hTKR+J1JERERERESaTJFIERERERGRBFEkUkRERERERCSGIpEiIiIiIiIJEm0DT2dVJFJERERERESaTI1IERERERERaTJ1ZxUREREREUkQPVhHREREREREJIYikSIiIiIiIgniUT1YR0RERERERKSGIpEiIiIiIiIJojGRIiIiIiIiIjEUiRQREREREUkQd42JFBEREREREamhSKSIiIiIiEiCRDUmUkRERERERKSWIpEiIiIiIiIJot+JFBEREREREYmhSKSIiIiIiEiC6HciRURERERERGIoEikiIiIiIpIg+p1IERERERERkRhqRIqIiIiIiEiTqTuriIiIiIhIgujBOiIiIiIiIiIxFIkUERERERFJEI/qwToiIiIiIiIiNcy99ffZFQEws9Hu/lhz56M1UFkmlsozsVSeiaOyTCyVZ2KpPBNHZSlbSpFIaUtGN3cGWhGVZWKpPBNL5Zk4KsvEUnkmlsozcVSWskXUiBQREREREZEmUyNSREREREREmkyNSGlL1Nc/cVSWiaXyTCyVZ+KoLBNL5ZlYKs/EUVnKFtGDdURERERERKTJFIkUERERERGRJlMjUnY4M6sys1lm9pmZ/Z+ZdWzuPDWFmZ1sZtc0dz62hZl1NbPnzWyxmX1qZlPM7DQzO9LMxjV3/na0mH1xtpnNMLNDw+m9zeyzBK3jAzMbFr5eamZzw/W9bWa7JGIdLYWZXWtm88xsTliuB4XbnBcn7UebWda/w2UsMrPC8PUsMzu0kWU2eowm8nvdmZhZSYKXV1OOZjbMzO5P5PJ3ZpupU9zMbolJm2dmFWb2YPj+JjO7civWNS9c3+/MLBLO2+z3Ymajqte9Bev805akr/fZp81sSZjnGWZ2yBZ8dlRMOf3KzM7d2nw0cX29zaw0pt6ZZWbtErj8UWbWPeb9E2a2d6KW38h6Twv3wz2397qk9VMjUppDqbsPdvdBQDnwq9iZZpbUPNlqnLuPdffbmzsfW8vMDHgVmOjufd19KHA20LNZM9a8qvfF/YA/An/ZAes8KlzfdKDOBZkFdki9nOjjLLwgPBEY4u77AscAyxpK7+6HNrY8dz/N3QcDFwGTwu9psLs32Pjc2Y/RnZG7T3f3y5s7Hy1IY3XKYoJjpNqZwLwErGsgcCxwPHAjbNfvZasbkaGrwuP6GuBvW7MAd3/U3Z9panozS96a9QBfxdQ7g929fCuXE88ooKYR6e4Xufv8BC6/ISOBDwnO/SLbRI1IaW6TgN3DSNj7ZvY8MNfMkszsLjP7JIxq/BLAzCJm9nB453WcmY03sxHhvKVm9j/hHc651XfazOxAM/vIzGaG//cIp48ys1fM7E0z+9LM7qzOlJn9OFzObDN7NyZ99Z3Qzmb2cpi/T8xseDj9iJi7ljPNLGNHFuZmHA2Uu/uj1RPc/Wt3fyA2Uf274RZEjHuHr88Nv4/ZZvaPcNpuZvZuOP1dM9s1nH5m+NnZZjYxnBb3e20hOgH59SeaWQczeyrcp2aa2VGbmZ5qZi+E2/cikNrA+iYS7Pu9zexzM3sYmAH0MrOrYsrof8LlppnZG2F5fmZmPw2n325m88O0fw2nPV19XITvS8L/TTrOtlI3YI27lwG4+xp3Xx6Th9TwWLs4Tp4+MLOXzOwLM3vOzKwJ6/tNnGM99hjtakE0c3b4V6fRamZ9w+/tgM3UBcdZELGfYUHPifRwerxy32Sfb0kaK+st2Y/iLHNc+PomM3syXMdiM2vrjcv6dUop8LmFPROAnwL/SsSK3H0Vwe/8XWaB2O8l7jkw1Cvc7xeY2Y3VE83s52b2sQXnsr+FdcXtQGo47blG0iWF+85n4fH5/+JkeSKwe0PLCKefb2YLzWwCMDwmbzXnqPD4nRMeo3dZbYR8VHi8vg68bUH9+WRY1800s1PCdFtUB8YeA2Y2wsyeDl8/bWb3h+W7uN5xc7XV9kC5PZw3DHgu3OZUq9tjZWSY/jMzuyN23WZ2a7icqWbWtbG8xsl7eliOFxI2Iq3xa6qhZjbBgl5Lb5lZty1Zn7R+W3t3RmSbWXB38CfAm+GkA4FB7r7EzEYDhe5+gJm1Byab2dvAUKA3sA/QBfgceDJmsWvcfYiZ/Rq4kiCK8QVwuLtXmtkxwG3AGWH6wcD+QBmwwMweADYCj4efWWJmOXGy/7/Ave7+oQWNpreAvcJ1Xuruk8MKe+M2FlMiDSRopGwVMxsIXAsMd/c1MeXyIPCMu48xswuA+4FTgRuAH7n7d2aWFaa9kDjfq7sv2dp8baNUM5sFdCBoBB0dJ82lAO6+jwWNlbfNbEAj0y8BNrj7vma2Lw2X+YnA3PD1HsD57v5rMzsO6E9wPBgw1swOBzoDy939BAAzywy/g9OAPd3dY8q5MZs9zrby+3gbuMHMFgL/BV509wnhvHTgBYL9JF4EYX+C/XM5MJngQufDzawv3rEe635ggrufFl6UpgPZAOFF9AsEZT4r3LcHs2ldUApcBxzj7uvN7A/A7yxoqMYr93j7fEuzSVmb2Xy2fD9qyJ7AUUAGQTk+4u4V25jnncnm6pQXgLPNbAVQRfA9dCcB3H2xBT0ZutSb1dg58EBgELAB+MTM3gDWEzRwh7t7hQU3uM5x92vM7LIwkoiZ7RUvHUF0tUfY24gG9qeTCG5kxV2Gmb0D/A/BOb8QeB+YGWc5TwGj3f0jCxq5sQ4B9nX3dWZ2G/Ceu18Q5udjM/tvmN941xoO9Au/S4DJ7n5pnPXH6gYcRnAMjAVeMrOfEJwPD3L3DWaWE+bnMuBKd58elhHh/+7AHeF25xOcV05191eBNGCqu19rwY2ui4E/byZPsU4F3nT3hWa2zsyGAH2Jc01lZinAA8Ap7r7agpuWtwIXbMH6pJVTI1KaQ2pMxTwJ+DtwKPBxzMXrccC+MXfzMgkurA8D/s/do8AKM3u/3rJfCf9/Cpwe89kxZtaf4MSQEpP+XXcvBAgvpHYjuNCcWJ0Xd18XZxuOAfa22oBJJwuijpOBeyy4S/uKu3/blAJpDmb2EEF5lgNXNeEjRwMvufsaqFMuh1Bb1v8AqqM4k4Gnzexf1H4vDX2vzdWILI25IDoEeMbMBtVLcxjByRR3/8LMvgYGNDL9cIIGDO4+x8zm1Fve+2ZWBcwhaKBkAV+7+9Rw/nHhX/UFUzpBGU0C/hremR7n7pPCGzEbgSfCi7+mjGttynG2xd+Hu5eY2VDgBwSNiBetdnzia8Cd7v5cI3n6FiCsG3qz+UZkvGM91tHAuWHeqoBCM8smaIy/Bpzh7rFdCePVBVnA3gQXlgDtgClAEfHLPd4+39LEK+upbPl+1JA3wmh0mZmtAroCLbYe3A42V6e8CdwCrARe3A7rjxfFb+wc+I67rw3z+wpBvVZJ0Ij5JNzvU4FVcZb7wwbSvQ70DW/EvEFwg6naXWZ2HbCa4KZiQ8s4CPjA3VeHeXuRoH6t3dCgMZgR08X9eep2F34n5jx1HHCy1fay6QDsSsN14ELC7qxxtrshr4bXJvOtNkp4DPCUu2+ABq8nYh1A3e1+juCc8irBubr62PyUoAvzlhgJ3Be+fiF8n0L8a6o9CG4uvBN+L0nA91u4Pmnl1IiU5lBav2IOK6n1sZOA37j7W/XSnbCZZZeF/6uo3b9vAd4PIxK9gQ/ipI/9jBGcaBsTAQ5x99J6028PL8KOB6aa2THu/sVmlrWjzKP27jPufqkFDyeZXi9dJXW7uncI/zelXKhO4+6/MrODgBOAWWY2mAa+15bA3aeE5dG53qyGulY21uWysXI6qrohDjUXQvX3/b+4+ybjhcJG2vHAX8KI4c1mdiDBhdjZwGUEjaea79CCgyv2gRCbPc62VthY+wD4wMzmAueFsyYDPzGz593j/q5UvONwc+Id601RSDBWczh1x6M1VBe84+4j6y8kXrnH2+erL9BbkE22M4xQbel+1OTlJyLTO6N4dYq7l5vZp8DvCSLCJyVqfWbWl6DMVxH0jKnW2Dmw/vHoBPv9GHf/4+ZW2VA6M9sP+BFBj42zqI1gXeXuL8WkOyreMszs1Dh5i7f+xtSv685w9wX11tPQtUbvBpYZm6cO9ebF7vsW839LfkuvsW2qiKk/t+jYMrNcgmN6kJk5QaPQgX83ko957t7khx9J26MxkdJSvQVcEnapwMwGmFkaQXTiDAv68XcFjmzCsjKB78LXo5qQfgpwhJn1Cdcdrzvr2wQXWoRpBof/+7n7XHe/g6Bx1pKegPYe0MHMLomZFu/JuEuBIQBhd5c+4fR3gbPCk1FsuXxE7SD9cwgjSGFZTHP3G4A1QC8a/l6bnQVdUpOA+hf9Ewm2Cwu6q+4KLGji9EHAvluYlbeAC6x27F0PM+sSdnPa4O7PAn8FhoRpMt19PHAFQZdMCL7DoeHrU6gbeai/roR8H2a2RxjpqDYY+Dp8fQNBuT68NcveSu8SdC2uHvfUKZxeTtCt61wz+9lmljGVoLtn9ditjmEZxS33Bvb5Fi8B+5HE0Uidcjfwh0TeYDCzzsCjwINxbtQ0dg481sxyzCyV4LiYTHDsjDCzLuGyc8xstzB9RXV90VC6sOEccfeXgesJzycNaGhd04AjzSw3XN+Z9T/o7vlAsZkdHE5q7GExbxGMo64eA7x/zPQtqQNXmtleFnQbPq2RdNXeJqjPO1ZvXzi9mKDLd33TCK4/8izohj8SmBAn3ZYaQTCcYDd37+3uvQh6nKwh/jXVAqBzGE3HzFIs6PYvUqPN3iGUFu8Jgm5WM8JKfzXBCe5lgrvlnxF0N5lGEFlozJ0EXXl+R9CQalTY/3808Ep4oljFpt1GLgcesqCrYjJBw+FXwBXhndUqYD7wn81u6Q4SjnU6FbjXzK4mKNP1wB/qJX2Z4AJ7FvAJQTnj7vPM7FZgggXdMWcSXJBcTjCG4qpwmeeHy7krbFQYwYXCbIIunL3Z9HttLrFdqw04z92rrO5zXR4GHg0ja5XAKHcvs2DsTrzpjwBPhfvGLODjLcmQu79twTihKWE+SoCfEzyE4i4ziwIVBA2kDOA1M+sQ5r/6ARaPh9M/Jij79cTX0HG2NdKBByyIrFYCiwge9FHdvewKgv3kTne/eivXsSV+CzxmZhcSHI+XEHbH8mB844kEXbUaKpvqumAU8E8LxktB0AW5mPjlHm+f3xls634ktTZbp4TdqLflqaz115VCcMz9A7gnTrrGzoEfhp/bHXg+ZozedQTj8SIE9c2lBDeFHgPmmNkMdz+ngXSlBHVgdaCiwYimu8+Ptwx3n2pmNxHc1P2eYGx5vCdKXwg8Hh7HH9Dw9cAtBF0554R13VKCumlL68BrCLqULiO4DklvJC3u/qYFN5mnm1k5MJ7gCbdPE5w/SgmGhFSn/97M/kgwBtSA8e7+WmPraKKRQP0xoy8TRKy/pd41VRgxHwHcb2aZBNc595GY/VZaCYvfs0ik5TKz9HD8VS7BBfpwd1/R3PkSERGRHaf6eiB8fQ3Qzd1/28zZ2qnomkq2liKRsjMaF0Y72gG3qLITERFpk04II3fJBJHSUc2bnZ2SrqlkqygSKSIiIiIiIk2mB+uIiIiIiIhIk6kRKSIiIiIiIk2mRqSIiIiIiIg0mRqRIiIiIiIi0mRqRIqIiIiIiEiTqREpIiIiIiIiTfb/AY1QKxYJwZghAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 1080x720 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Calculating the correlation matrix for numerical columns\n",
+    "correlation_matrix = data[numerical_cols].corr()\n",
+    "\n",
+    "\n",
+    "\n",
+    "plt.figure(figsize=(15,10))\n",
+    "sns.heatmap(data=data[numerical_cols].corr(), annot=True, cmap='coolwarm')\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6f2f62f5",
+   "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": "3.9.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}