1752 lines
608 KiB
Plaintext
1752 lines
608 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Начало лабораторной\n",
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"\n",
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"https://www.kaggle.com/datasets/nikhil1e9/goodreads-books?resource=download\n",
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"Данный набор данных представляет книги с Goodreads\n",
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"Примр цели — создание системы рекомендаций для книг, прогнозирование рейтингов для новых книг.\n",
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"Входные данные: Название, Автор, Средняя оценка, Общее количество оценок, Количество добавлений на полки, Год публикации, Описание, Изображение"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Столбцы в Popular-Books:\n",
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"Index(['Title', 'Author', 'Score', 'Ratings', 'Shelvings', 'Published',\n",
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" 'Description', 'Image'],\n",
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" dtype='object')\n"
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]
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}
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],
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"source": [
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt\n",
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"import seaborn as sns\n",
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"\n",
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"df_books = pd.read_csv(\".//static//csv//Popular-Books.csv\")\n",
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"\n",
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"print(\"Столбцы в Popular-Books:\")\n",
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"print(df_books.columns)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Посмотрим краткое содержание датасета."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Информация о датасете Popular-Books:\n",
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"<class 'pandas.core.frame.DataFrame'>\n",
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"RangeIndex: 27621 entries, 0 to 27620\n",
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"Data columns (total 8 columns):\n",
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" # Column Non-Null Count Dtype \n",
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"--- ------ -------------- ----- \n",
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" 0 Title 27621 non-null object \n",
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" 1 Author 27621 non-null object \n",
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" 2 Score 27621 non-null float64\n",
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" 3 Ratings 27621 non-null int64 \n",
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" 4 Shelvings 27621 non-null int64 \n",
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" 5 Published 27621 non-null int64 \n",
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" 6 Description 27549 non-null object \n",
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" 7 Image 27621 non-null object \n",
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"dtypes: float64(1), int64(3), object(4)\n",
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"memory usage: 1.7+ MB\n"
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]
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},
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Title</th>\n",
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" <th>Author</th>\n",
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" <th>Score</th>\n",
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" <th>Ratings</th>\n",
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" <th>Shelvings</th>\n",
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" <th>Published</th>\n",
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" <th>Description</th>\n",
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" <th>Image</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>The English Assassin (Gabriel Allon, #2)</td>\n",
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" <td>Daniel Silva</td>\n",
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" <td>4.16</td>\n",
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" <td>40122</td>\n",
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" <td>44602</td>\n",
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" <td>2002</td>\n",
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" <td>The Unlikely Spy, Daniel Silva's extraordinary...</td>\n",
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" <td>https://images-na.ssl-images-amazon.com/images...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>Pompeii</td>\n",
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" <td>Robert Harris</td>\n",
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" <td>3.86</td>\n",
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" <td>46097</td>\n",
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" <td>64840</td>\n",
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" <td>2003</td>\n",
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" <td>With his trademark elegance and intelligence R...</td>\n",
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" <td>https://images-na.ssl-images-amazon.com/images...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>Notorious RBG: The Life and Times of Ruth Bade...</td>\n",
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" <td>Irin Carmon</td>\n",
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" <td>4.19</td>\n",
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" <td>59670</td>\n",
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" <td>171959</td>\n",
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" <td>2015</td>\n",
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" <td>You can't spell truth without Ruth.Only Ruth B...</td>\n",
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" <td>https://images-na.ssl-images-amazon.com/images...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>The Abolition of Man</td>\n",
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" <td>C.S. Lewis</td>\n",
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" <td>4.11</td>\n",
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" <td>34390</td>\n",
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" <td>52770</td>\n",
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" <td>1943</td>\n",
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" <td>Alternative cover for ISBN: 978-0060652944The ...</td>\n",
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" <td>https://images-na.ssl-images-amazon.com/images...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>Portrait of a Murderer</td>\n",
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" <td>Anne Meredith (Pseudonym)</td>\n",
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" <td>3.38</td>\n",
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" <td>1129</td>\n",
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" <td>1739</td>\n",
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" <td>1933</td>\n",
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" <td>'Adrian Gray was born in May 1862 and met his ...</td>\n",
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" <td>https://images-na.ssl-images-amazon.com/images...</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" Title \\\n",
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"0 The English Assassin (Gabriel Allon, #2) \n",
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"1 Pompeii \n",
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"2 Notorious RBG: The Life and Times of Ruth Bade... \n",
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"3 The Abolition of Man \n",
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"4 Portrait of a Murderer \n",
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"\n",
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" Author Score Ratings Shelvings Published \\\n",
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"0 Daniel Silva 4.16 40122 44602 2002 \n",
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"1 Robert Harris 3.86 46097 64840 2003 \n",
|
||
"2 Irin Carmon 4.19 59670 171959 2015 \n",
|
||
"3 C.S. Lewis 4.11 34390 52770 1943 \n",
|
||
"4 Anne Meredith (Pseudonym) 3.38 1129 1739 1933 \n",
|
||
"\n",
|
||
" Description \\\n",
|
||
"0 The Unlikely Spy, Daniel Silva's extraordinary... \n",
|
||
"1 With his trademark elegance and intelligence R... \n",
|
||
"2 You can't spell truth without Ruth.Only Ruth B... \n",
|
||
"3 Alternative cover for ISBN: 978-0060652944The ... \n",
|
||
"4 'Adrian Gray was born in May 1862 and met his ... \n",
|
||
"\n",
|
||
" Image \n",
|
||
"0 https://images-na.ssl-images-amazon.com/images... \n",
|
||
"1 https://images-na.ssl-images-amazon.com/images... \n",
|
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"2 https://images-na.ssl-images-amazon.com/images... \n",
|
||
"3 https://images-na.ssl-images-amazon.com/images... \n",
|
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"4 https://images-na.ssl-images-amazon.com/images... "
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]
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},
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"execution_count": 2,
|
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
|
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"print(\"Информация о датасете Popular-Books:\")\n",
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"df_books.info()\n",
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"df_books.head()"
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]
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},
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||
{
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||
"cell_type": "markdown",
|
||
"metadata": {},
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"source": [
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"Анализируем датафрейм при помощи \"ящика с усами\". Проверяет на пустые значения."
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]
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},
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{
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||
"cell_type": "code",
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||
"execution_count": 3,
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"metadata": {},
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"outputs": [
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||
{
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"data": {
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",
|
||
"text/plain": [
|
||
"<Figure size 1200x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Проверка на пустые значения в наборе данных 'Popular Books':\n",
|
||
"Description 72\n",
|
||
"dtype: int64\n",
|
||
"\n",
|
||
"\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Настройка стиля графиков\n",
|
||
"sns.set_theme(style=\"whitegrid\")\n",
|
||
"\n",
|
||
"plt.figure(figsize=(12, 6))\n",
|
||
"sns.boxplot(x='Score', data=df_books)\n",
|
||
"plt.title('Распределение оценок книг')\n",
|
||
"plt.xlabel('Оценка')\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"# Проверка на пустые значения для каждого набора данных\n",
|
||
"def check_missing_values(dataframe, name):\n",
|
||
" missing_values = dataframe.isnull().sum()\n",
|
||
" print(f\"Проверка на пустые значения в наборе данных '{name}':\")\n",
|
||
" print(missing_values[missing_values > 0]) # Отображаем только столбцы с пропущенными значениями\n",
|
||
" print(\"\\n\")\n",
|
||
"\n",
|
||
"check_missing_values(df_books, \"Popular Books\") "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Удаляем все найденные пустые значения."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 4,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"В наборе данных 'Popular Books' было удалено 72 строк с пустыми значениями.\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Функция для удаления строк с пустыми значениями\n",
|
||
"def drop_missing_values(dataframe, name):\n",
|
||
" before_shape = dataframe.shape # Размер до удаления\n",
|
||
" cleaned_dataframe = dataframe.dropna() # Удаляем строки с пустыми значениями\n",
|
||
" after_shape = cleaned_dataframe.shape # Размер после удаления\n",
|
||
" print(f\"В наборе данных '{name}' было удалено {before_shape[0] - after_shape[0]} строк с пустыми значениями.\")\n",
|
||
" return cleaned_dataframe\n",
|
||
"\n",
|
||
"cleaned_df_books = drop_missing_values(df_books, \"Popular Books\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Очистка данных от шумов"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 5,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
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"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Выбросы в Popular Books:\n",
|
||
" Title Author Score \\\n",
|
||
"32 The Nice Old Man and the Pretty Girl Italo Svevo 3.11 \n",
|
||
"96 The Killer Stewart Edward White 3.22 \n",
|
||
"156 The Three of Us Ore Agbaje-Williams 2.98 \n",
|
||
"197 Old Bugs H.P. Lovecraft 2.82 \n",
|
||
"249 Lair of the White Worm Bram Stoker 2.78 \n",
|
||
"... ... ... ... \n",
|
||
"27183 The Mysterious Ship H.P. Lovecraft 2.15 \n",
|
||
"27267 Murder in the Snow Gladys Mitchell 3.09 \n",
|
||
"27282 The End Samuel Beckett 3.18 \n",
|
||
"27527 Snuff Chuck Palahniuk 3.22 \n",
|
||
"27618 Mosquitoes William Faulkner 3.11 \n",
|
||
"\n",
|
||
" Ratings Shelvings Published \\\n",
|
||
"32 728 747 1926 \n",
|
||
"96 59 158 1919 \n",
|
||
"156 5197 24819 2023 \n",
|
||
"197 972 1142 1919 \n",
|
||
"249 4194 6625 1911 \n",
|
||
"... ... ... ... \n",
|
||
"27183 328 293 1902 \n",
|
||
"27267 784 1035 1950 \n",
|
||
"27282 1369 3025 1946 \n",
|
||
"27527 62483 95559 2008 \n",
|
||
"27618 1193 2331 1927 \n",
|
||
"\n",
|
||
" Description \\\n",
|
||
"32 ...the sin of an old man is equal to about two... \n",
|
||
"96 This book was converted from its physical edit... \n",
|
||
"156 Long-standing tensions between a husband, his ... \n",
|
||
"197 With the onset of Prohibition, the Sheehan Bil... \n",
|
||
"249 In a tale of ancient evil, Bram Stoker creates... \n",
|
||
"... ... \n",
|
||
"27183 \"The Mysterious Ship\" is a story story by Amer... \n",
|
||
"27267 ‘A delight… An amateur sleuth to rival Miss Ma... \n",
|
||
"27282 'They didn't seem to take much interest in my ... \n",
|
||
"27527 From the master of literary mayhem and provoca... \n",
|
||
"27618 A delightful surprise, Faulkner wrote his seco... \n",
|
||
"\n",
|
||
" Image \n",
|
||
"32 https://images-na.ssl-images-amazon.com/images... \n",
|
||
"96 https://images-na.ssl-images-amazon.com/images... \n",
|
||
"156 https://images-na.ssl-images-amazon.com/images... \n",
|
||
"197 https://dryofg8nmyqjw.cloudfront.net/images/no... \n",
|
||
"249 https://images-na.ssl-images-amazon.com/images... \n",
|
||
"... ... \n",
|
||
"27183 https://images-na.ssl-images-amazon.com/images... \n",
|
||
"27267 https://images-na.ssl-images-amazon.com/images... \n",
|
||
"27282 https://images-na.ssl-images-amazon.com/images... \n",
|
||
"27527 https://images-na.ssl-images-amazon.com/images... \n",
|
||
"27618 https://images-na.ssl-images-amazon.com/images... \n",
|
||
"\n",
|
||
"[437 rows x 8 columns]\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Визуализация перед очисткой\n",
|
||
"plt.figure(figsize=(10, 6))\n",
|
||
"plt.scatter(cleaned_df_books['Ratings'], cleaned_df_books['Score'])\n",
|
||
"plt.xlabel('Ratings')\n",
|
||
"plt.ylabel('Score')\n",
|
||
"plt.title('Scatter Plot of Ratings vs Score (Before Cleaning)')\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"# Рассчитываем квартиль 1 (Q1) и квартиль 3 (Q3) для Score\n",
|
||
"Q1 = cleaned_df_books[\"Score\"].quantile(0.25)\n",
|
||
"Q3 = cleaned_df_books[\"Score\"].quantile(0.75)\n",
|
||
"\n",
|
||
"# Рассчитываем межквартильный размах (IQR)\n",
|
||
"IQR = Q3 - Q1\n",
|
||
"\n",
|
||
"# Определяем порог для выбросов\n",
|
||
"threshold = 1.5 * IQR\n",
|
||
"lower_bound = Q1 - threshold\n",
|
||
"upper_bound = Q3 + threshold\n",
|
||
"\n",
|
||
"# Фильтруем выбросы\n",
|
||
"outliers = (cleaned_df_books[\"Score\"] < lower_bound) | (cleaned_df_books[\"Score\"] > upper_bound)\n",
|
||
"\n",
|
||
"# Вывод выбросов\n",
|
||
"print(\"Выбросы в Popular Books:\")\n",
|
||
"print(cleaned_df_books[outliers])\n",
|
||
"\n",
|
||
"# Заменяем выбросы на медианные значения\n",
|
||
"median_score = cleaned_df_books[\"Score\"].median()\n",
|
||
"cleaned_df_books.loc[outliers, \"Score\"] = median_score\n",
|
||
"\n",
|
||
"# Визуализация данных после обработки\n",
|
||
"plt.figure(figsize=(10, 6))\n",
|
||
"plt.scatter(cleaned_df_books['Ratings'], cleaned_df_books['Score'])\n",
|
||
"plt.xlabel('Ratings')\n",
|
||
"plt.ylabel('Score')\n",
|
||
"plt.title('Scatter Plot of Ratings vs Score (After Cleaning)')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Разбиение набора данных на обучающую, контрольную и тестовую выборки"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 6,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Размер обучающей выборки: 16529\n",
|
||
"Размер контрольной выборки: 5510\n",
|
||
"Размер тестовой выборки: 5510\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"from sklearn.model_selection import train_test_split\n",
|
||
"\n",
|
||
"# Разделение на обучающую и тестовую выборки\n",
|
||
"train_df, test_df = train_test_split(cleaned_df_books, test_size=0.2, random_state=42)\n",
|
||
"\n",
|
||
"# Разделение обучающей выборки на обучающую и контрольную\n",
|
||
"train_df, val_df = train_test_split(train_df, test_size=0.25, random_state=42)\n",
|
||
"\n",
|
||
"print(\"Размер обучающей выборки:\", len(train_df))\n",
|
||
"print(\"Размер контрольной выборки:\", len(val_df))\n",
|
||
"print(\"Размер тестовой выборки:\", len(test_df))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Видим недостаток баланса:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 7,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Распределение Ratings в обучающей выборке:\n",
|
||
"Ratings\n",
|
||
"70 18\n",
|
||
"55 18\n",
|
||
"16100 18\n",
|
||
"61 18\n",
|
||
"162 17\n",
|
||
" ..\n",
|
||
"15370 1\n",
|
||
"4510 1\n",
|
||
"50015 1\n",
|
||
"24791 1\n",
|
||
"16244 1\n",
|
||
"Name: count, Length: 10844, dtype: int64\n",
|
||
"\n",
|
||
"Распределение Ratings в контрольной выборке:\n",
|
||
"Ratings\n",
|
||
"86 9\n",
|
||
"246 8\n",
|
||
"66 8\n",
|
||
"83 8\n",
|
||
"237 8\n",
|
||
" ..\n",
|
||
"15184 1\n",
|
||
"65771 1\n",
|
||
"6498 1\n",
|
||
"457617 1\n",
|
||
"316921 1\n",
|
||
"Name: count, Length: 4435, dtype: int64\n",
|
||
"\n",
|
||
"Распределение Ratings в тестовой выборке:\n",
|
||
"Ratings\n",
|
||
"136 11\n",
|
||
"100 11\n",
|
||
"159 8\n",
|
||
"55 8\n",
|
||
"71 8\n",
|
||
" ..\n",
|
||
"45669 1\n",
|
||
"2055 1\n",
|
||
"179534 1\n",
|
||
"16031 1\n",
|
||
"1108 1\n",
|
||
"Name: count, Length: 4428, dtype: int64\n",
|
||
"\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"def check_balance(df, name):\n",
|
||
" counts = df['Ratings'].value_counts()\n",
|
||
" print(f\"Распределение Ratings в {name}:\")\n",
|
||
" print(counts)\n",
|
||
" print()\n",
|
||
"\n",
|
||
"check_balance(train_df, \"обучающей выборке\")\n",
|
||
"check_balance(val_df, \"контрольной выборке\")\n",
|
||
"check_balance(test_df, \"тестовой выборке\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Используем oversample и undersample"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 8,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Оверсэмплинг:\n",
|
||
"Распределение Ratings в обучающей выборке:\n",
|
||
"Ratings\n",
|
||
"2906 18\n",
|
||
"647 18\n",
|
||
"84803 18\n",
|
||
"52669 18\n",
|
||
"4880 18\n",
|
||
" ..\n",
|
||
"6093 18\n",
|
||
"2341 18\n",
|
||
"29423 18\n",
|
||
"93667 18\n",
|
||
"224935 18\n",
|
||
"Name: count, Length: 10844, dtype: int64\n",
|
||
"\n",
|
||
"Распределение Ratings в контрольной выборке:\n",
|
||
"Ratings\n",
|
||
"19873 9\n",
|
||
"224 9\n",
|
||
"1896 9\n",
|
||
"39208 9\n",
|
||
"9145 9\n",
|
||
" ..\n",
|
||
"10122 9\n",
|
||
"132 9\n",
|
||
"53626 9\n",
|
||
"17870 9\n",
|
||
"88623 9\n",
|
||
"Name: count, Length: 4435, dtype: int64\n",
|
||
"\n",
|
||
"Распределение Ratings в тестовой выборке:\n",
|
||
"Ratings\n",
|
||
"141477 11\n",
|
||
"1441 11\n",
|
||
"2471 11\n",
|
||
"17264 11\n",
|
||
"637349 11\n",
|
||
" ..\n",
|
||
"556 11\n",
|
||
"20224 11\n",
|
||
"24353 11\n",
|
||
"719 11\n",
|
||
"7381 11\n",
|
||
"Name: count, Length: 4428, dtype: int64\n",
|
||
"\n",
|
||
"Андерсэмплинг:\n",
|
||
"Распределение Ratings в обучающей выборке:\n",
|
||
"Ratings\n",
|
||
"9282201 1\n",
|
||
"1 1\n",
|
||
"2 1\n",
|
||
"3 1\n",
|
||
"4 1\n",
|
||
" ..\n",
|
||
"19 1\n",
|
||
"18 1\n",
|
||
"17 1\n",
|
||
"16 1\n",
|
||
"15 1\n",
|
||
"Name: count, Length: 10844, dtype: int64\n",
|
||
"\n",
|
||
"Распределение Ratings в контрольной выборке:\n",
|
||
"Ratings\n",
|
||
"5202524 1\n",
|
||
"8 1\n",
|
||
"9 1\n",
|
||
"2058282 1\n",
|
||
"1900499 1\n",
|
||
" ..\n",
|
||
"15 1\n",
|
||
"14 1\n",
|
||
"13 1\n",
|
||
"12 1\n",
|
||
"11 1\n",
|
||
"Name: count, Length: 4435, dtype: int64\n",
|
||
"\n",
|
||
"Распределение Ratings в тестовой выборке:\n",
|
||
"Ratings\n",
|
||
"9596885 1\n",
|
||
"5 1\n",
|
||
"9 1\n",
|
||
"10 1\n",
|
||
"11 1\n",
|
||
" ..\n",
|
||
"28 1\n",
|
||
"27 1\n",
|
||
"25 1\n",
|
||
"23 1\n",
|
||
"22 1\n",
|
||
"Name: count, Length: 4428, dtype: int64\n",
|
||
"\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"from imblearn.over_sampling import RandomOverSampler\n",
|
||
"from imblearn.under_sampling import RandomUnderSampler\n",
|
||
"\n",
|
||
"def oversample(df, target_column):\n",
|
||
" X = df.drop(target_column, axis=1)\n",
|
||
" y = df[target_column]\n",
|
||
" \n",
|
||
" oversampler = RandomOverSampler(random_state=42)\n",
|
||
" x_resampled, y_resampled = oversampler.fit_resample(X, y) # type: ignore\n",
|
||
" \n",
|
||
" resampled_df = pd.concat([x_resampled, y_resampled], axis=1)\n",
|
||
" return resampled_df\n",
|
||
"\n",
|
||
"def undersample(df, target_column):\n",
|
||
" X = df.drop(target_column, axis=1)\n",
|
||
" y = df[target_column]\n",
|
||
" \n",
|
||
" undersampler = RandomUnderSampler(random_state=42)\n",
|
||
" x_resampled, y_resampled = undersampler.fit_resample(X, y) # type: ignore\n",
|
||
" \n",
|
||
" resampled_df = pd.concat([x_resampled, y_resampled], axis=1)\n",
|
||
" return resampled_df\n",
|
||
"\n",
|
||
"train_df_oversampled = oversample(train_df, 'Ratings')\n",
|
||
"val_df_oversampled = oversample(val_df, 'Ratings')\n",
|
||
"test_df_oversampled = oversample(test_df, 'Ratings')\n",
|
||
"\n",
|
||
"train_df_undersampled = undersample(train_df, 'Ratings')\n",
|
||
"val_df_undersampled = undersample(val_df, 'Ratings')\n",
|
||
"test_df_undersampled = undersample(test_df, 'Ratings')\n",
|
||
"\n",
|
||
"# Проверка сбалансированности после oversampling\n",
|
||
"print(\"Оверсэмплинг:\")\n",
|
||
"check_balance(train_df_oversampled, \"обучающей выборке\")\n",
|
||
"check_balance(val_df_oversampled, \"контрольной выборке\")\n",
|
||
"check_balance(test_df_oversampled, \"тестовой выборке\")\n",
|
||
"\n",
|
||
"# Проверка сбалансированности после undersampling\n",
|
||
"print(\"Андерсэмплинг:\")\n",
|
||
"check_balance(train_df_undersampled, \"обучающей выборке\")\n",
|
||
"check_balance(val_df_undersampled, \"контрольной выборке\")\n",
|
||
"check_balance(test_df_undersampled, \"тестовой выборке\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"https://www.kaggle.com/datasets/gallo33henrique/bitcoin-btc-usd-stock-dataset\n",
|
||
"Данный набор данных относится к анализу и прогнозированию финансовых временных рядов, связанных с криптовалютами.\n",
|
||
"Примр цели — разработка модели машинного обучения для прогнозирования цен на основе временных рядов.\n",
|
||
"Входные данные: Дата, Цена открытия на начало торговли, Самая высокая цена, Самая низкая цена, Цена закрытия в конце торговли, Скорректированная цена закрытия, Количество проданных."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 9,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Столбцы в Popular-Books:\n",
|
||
"Index(['Date', 'Open', 'High', 'Low', 'Close', 'Adj Close', 'Volume'], dtype='object')\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"df_btc = pd.read_csv(\".//static//csv//BTC-USD_stock_data.csv\")\n",
|
||
"\n",
|
||
"print(\"Столбцы в Popular-Books:\")\n",
|
||
"print(df_btc.columns)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Посмотрим краткое содержание датасета"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" Date Close Price_Change\n",
|
||
"0 2017-01-01 998.325012 up\n",
|
||
"1 2017-01-02 1021.750000 up\n",
|
||
"2 2017-01-03 1043.839966 up\n",
|
||
"3 2017-01-04 1154.729980 down\n",
|
||
"4 2017-01-05 1013.380005 down\n",
|
||
"\n",
|
||
"Информация о датасете BTC-USD:\n",
|
||
"<class 'pandas.core.frame.DataFrame'>\n",
|
||
"RangeIndex: 2836 entries, 0 to 2835\n",
|
||
"Data columns (total 8 columns):\n",
|
||
" # Column Non-Null Count Dtype \n",
|
||
"--- ------ -------------- ----- \n",
|
||
" 0 Date 2836 non-null object \n",
|
||
" 1 Open 2836 non-null float64\n",
|
||
" 2 High 2836 non-null float64\n",
|
||
" 3 Low 2836 non-null float64\n",
|
||
" 4 Close 2836 non-null float64\n",
|
||
" 5 Adj Close 2836 non-null float64\n",
|
||
" 6 Volume 2836 non-null int64 \n",
|
||
" 7 Price_Change 2836 non-null object \n",
|
||
"dtypes: float64(5), int64(1), object(2)\n",
|
||
"memory usage: 177.4+ KB\n",
|
||
"None\n"
|
||
]
|
||
},
|
||
{
|
||
"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>Date</th>\n",
|
||
" <th>Open</th>\n",
|
||
" <th>High</th>\n",
|
||
" <th>Low</th>\n",
|
||
" <th>Close</th>\n",
|
||
" <th>Adj Close</th>\n",
|
||
" <th>Volume</th>\n",
|
||
" <th>Price_Change</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>2017-01-01</td>\n",
|
||
" <td>963.658020</td>\n",
|
||
" <td>1003.080017</td>\n",
|
||
" <td>958.698975</td>\n",
|
||
" <td>998.325012</td>\n",
|
||
" <td>998.325012</td>\n",
|
||
" <td>147775008</td>\n",
|
||
" <td>up</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>2017-01-02</td>\n",
|
||
" <td>998.617004</td>\n",
|
||
" <td>1031.390015</td>\n",
|
||
" <td>996.702026</td>\n",
|
||
" <td>1021.750000</td>\n",
|
||
" <td>1021.750000</td>\n",
|
||
" <td>222184992</td>\n",
|
||
" <td>up</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>2017-01-03</td>\n",
|
||
" <td>1021.599976</td>\n",
|
||
" <td>1044.079956</td>\n",
|
||
" <td>1021.599976</td>\n",
|
||
" <td>1043.839966</td>\n",
|
||
" <td>1043.839966</td>\n",
|
||
" <td>185168000</td>\n",
|
||
" <td>up</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>2017-01-04</td>\n",
|
||
" <td>1044.400024</td>\n",
|
||
" <td>1159.420044</td>\n",
|
||
" <td>1044.400024</td>\n",
|
||
" <td>1154.729980</td>\n",
|
||
" <td>1154.729980</td>\n",
|
||
" <td>344945984</td>\n",
|
||
" <td>down</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>2017-01-05</td>\n",
|
||
" <td>1156.729980</td>\n",
|
||
" <td>1191.099976</td>\n",
|
||
" <td>910.416992</td>\n",
|
||
" <td>1013.380005</td>\n",
|
||
" <td>1013.380005</td>\n",
|
||
" <td>510199008</td>\n",
|
||
" <td>down</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Date Open High Low Close \\\n",
|
||
"0 2017-01-01 963.658020 1003.080017 958.698975 998.325012 \n",
|
||
"1 2017-01-02 998.617004 1031.390015 996.702026 1021.750000 \n",
|
||
"2 2017-01-03 1021.599976 1044.079956 1021.599976 1043.839966 \n",
|
||
"3 2017-01-04 1044.400024 1159.420044 1044.400024 1154.729980 \n",
|
||
"4 2017-01-05 1156.729980 1191.099976 910.416992 1013.380005 \n",
|
||
"\n",
|
||
" Adj Close Volume Price_Change \n",
|
||
"0 998.325012 147775008 up \n",
|
||
"1 1021.750000 222184992 up \n",
|
||
"2 1043.839966 185168000 up \n",
|
||
"3 1154.729980 344945984 down \n",
|
||
"4 1013.380005 510199008 down "
|
||
]
|
||
},
|
||
"execution_count": 10,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Добавляем бинарную переменную 'Price_Change': 'up' - цена выросла, 'down' - цена упала\n",
|
||
"df_btc['Price_Change'] = df_btc['Close'].diff(-1).apply(lambda x: 'up' if x < 0 else 'down')\n",
|
||
"\n",
|
||
"# Удаляем строки с NaN значениями, возникшими из-за сдвига\n",
|
||
"df_btc.dropna()\n",
|
||
"\n",
|
||
"# Вывод первых строк для проверки\n",
|
||
"print(df_btc[['Date', 'Close', 'Price_Change']].head())\n",
|
||
"\n",
|
||
"print(\"\\nИнформация о датасете BTC-USD:\")\n",
|
||
"print(df_btc.info())\n",
|
||
"df_btc.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Анализируем датафрейм при помощи \"ящика с усами\". Проверяет на пустые значения."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
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"text/plain": [
|
||
"<Figure size 1200x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Проверка на пустые значения в наборе данных 'BTC-USD':\n",
|
||
"Series([], dtype: int64)\n",
|
||
"\n",
|
||
"\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"plt.figure(figsize=(12, 6))\n",
|
||
"sns.boxplot(x='Close', data=df_btc)\n",
|
||
"plt.title('Распределение цен закрытия BTC-USD')\n",
|
||
"plt.xlabel('Цена закрытия (USD)')\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"check_missing_values(df_btc, \"BTC-USD\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Видно, что выборка относительно сбалансированна, пустых значений нет."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 12,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"plt.figure(figsize=(10, 6))\n",
|
||
"plt.scatter(df_btc['Date'], df_btc['Close'])\n",
|
||
"plt.xlabel('Date')\n",
|
||
"plt.ylabel('Close Price')\n",
|
||
"plt.title('Scatter Plot of Date vs Close Price (Before Cleaning)')\n",
|
||
"plt.xticks(rotation=45)\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Убираем шумы"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 13,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Выбросы в BTC-USD Stock Data:\n",
|
||
"Empty DataFrame\n",
|
||
"Columns: [Date, Open, High, Low, Close, Adj Close, Volume, Price_Change]\n",
|
||
"Index: []\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Рассчитываем квартиль 1 (Q1) и квартиль 3 (Q3) для Close\n",
|
||
"Q1 = df_btc[\"Close\"].quantile(0.25)\n",
|
||
"Q3 = df_btc[\"Close\"].quantile(0.75)\n",
|
||
"\n",
|
||
"# Рассчитываем межквартильный размах (IQR)\n",
|
||
"IQR = Q3 - Q1\n",
|
||
"\n",
|
||
"# Определяем порог для выбросов\n",
|
||
"threshold = 1.5 * IQR\n",
|
||
"lower_bound = Q1 - threshold\n",
|
||
"upper_bound = Q3 + threshold\n",
|
||
"\n",
|
||
"# Фильтруем выбросы\n",
|
||
"outliers = (df_btc[\"Close\"] < lower_bound) | (df_btc[\"Close\"] > upper_bound)\n",
|
||
"\n",
|
||
"# Вывод выбросов\n",
|
||
"print(\"Выбросы в BTC-USD Stock Data:\")\n",
|
||
"print(df_btc[outliers])\n",
|
||
"\n",
|
||
"# Заменяем выбросы на медианные значения\n",
|
||
"median_close = df_btc[\"Close\"].median()\n",
|
||
"df_btc.loc[outliers, \"Close\"] = median_close\n",
|
||
"\n",
|
||
"# Визуализация данных после обработки\n",
|
||
"plt.figure(figsize=(10, 6))\n",
|
||
"plt.scatter(df_btc['Date'], df_btc['Close'])\n",
|
||
"plt.xlabel('Date')\n",
|
||
"plt.ylabel('Close Price')\n",
|
||
"plt.title('Scatter Plot of Date vs Close Price (After Cleaning)')\n",
|
||
"plt.xticks(rotation=45)\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Разбиение набора данных на обучающую, контрольную и тестовую выборки"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 14,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Размер обучающей выборки: 1701\n",
|
||
"Размер контрольной выборки: 567\n",
|
||
"Размер тестовой выборки: 568\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Разделение на обучающую и тестовую выборки\n",
|
||
"train_df, test_df = train_test_split(df_btc, test_size=0.2, random_state=42)\n",
|
||
"\n",
|
||
"# Разделение обучающей выборки на обучающую и контрольную\n",
|
||
"train_df, val_df = train_test_split(train_df, test_size=0.25, random_state=42)\n",
|
||
"\n",
|
||
"print(\"Размер обучающей выборки:\", len(train_df))\n",
|
||
"print(\"Размер контрольной выборки:\", len(val_df))\n",
|
||
"print(\"Размер тестовой выборки:\", len(test_df))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Видим недостаток баланса:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 15,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Распределение Price_Change в обучающей выборке:\n",
|
||
"Price_Change\n",
|
||
"up 882\n",
|
||
"down 819\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n",
|
||
"Распределение Price_Change в контрольной выборке:\n",
|
||
"Price_Change\n",
|
||
"up 301\n",
|
||
"down 266\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n",
|
||
"Распределение Price_Change в тестовой выборке:\n",
|
||
"Price_Change\n",
|
||
"up 308\n",
|
||
"down 260\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"def check_balance(df, name):\n",
|
||
" counts = df['Price_Change'].value_counts()\n",
|
||
" print(f\"Распределение Price_Change в {name}:\")\n",
|
||
" print(counts)\n",
|
||
" print()\n",
|
||
"\n",
|
||
"check_balance(train_df, \"обучающей выборке\")\n",
|
||
"check_balance(val_df, \"контрольной выборке\")\n",
|
||
"check_balance(test_df, \"тестовой выборке\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Используем oversample и undersample"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 16,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Оверсэмплинг:\n",
|
||
"Распределение Price_Change в обучающей выборке:\n",
|
||
"Price_Change\n",
|
||
"up 882\n",
|
||
"down 882\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n",
|
||
"Распределение Price_Change в контрольной выборке:\n",
|
||
"Price_Change\n",
|
||
"down 301\n",
|
||
"up 301\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n",
|
||
"Распределение Price_Change в тестовой выборке:\n",
|
||
"Price_Change\n",
|
||
"down 308\n",
|
||
"up 308\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n",
|
||
"Андерсэмплинг:\n",
|
||
"Распределение Price_Change в обучающей выборке:\n",
|
||
"Price_Change\n",
|
||
"down 819\n",
|
||
"up 819\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n",
|
||
"Распределение Price_Change в контрольной выборке:\n",
|
||
"Price_Change\n",
|
||
"down 266\n",
|
||
"up 266\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n",
|
||
"Распределение Price_Change в тестовой выборке:\n",
|
||
"Price_Change\n",
|
||
"down 260\n",
|
||
"up 260\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"train_df_oversampled = oversample(train_df, 'Price_Change')\n",
|
||
"val_df_oversampled = oversample(val_df, 'Price_Change')\n",
|
||
"test_df_oversampled = oversample(test_df, 'Price_Change')\n",
|
||
"\n",
|
||
"train_df_undersampled = undersample(train_df, 'Price_Change')\n",
|
||
"val_df_undersampled = undersample(val_df, 'Price_Change')\n",
|
||
"test_df_undersampled = undersample(test_df, 'Price_Change')\n",
|
||
"\n",
|
||
"# Проверка сбалансированности после oversampling\n",
|
||
"print(\"Оверсэмплинг:\")\n",
|
||
"check_balance(train_df_oversampled, \"обучающей выборке\")\n",
|
||
"check_balance(val_df_oversampled, \"контрольной выборке\")\n",
|
||
"check_balance(test_df_oversampled, \"тестовой выборке\")\n",
|
||
"\n",
|
||
"# Проверка сбалансированности после undersampling\n",
|
||
"print(\"Андерсэмплинг:\")\n",
|
||
"check_balance(train_df_undersampled, \"обучающей выборке\")\n",
|
||
"check_balance(val_df_undersampled, \"контрольной выборке\")\n",
|
||
"check_balance(test_df_undersampled, \"тестовой выборке\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"https://www.kaggle.com/datasets/junaid512/random-student-data-set-for-education-purpose\n",
|
||
"Набор данных включает случайные данные о студентах, которые используются для целей моделирования в сфере образования.\n",
|
||
"Примр цели — образовательная аналитика.\n",
|
||
"Входные данные: Полные имена студентов, Класс/программа обучения, Возраст, IQ, Совокупный средний балл успеваемости, Навыки"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 17,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Index(['Name', 'Class_or_Program', 'Age', 'Country', 'IQ', 'CGPA', 'Skill'], dtype='object')\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"df_students = pd.read_csv(\".//static//csv//student_data_01.csv\")\n",
|
||
"\n",
|
||
"print(df_students.columns)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Посмотрим краткое содержание датасета"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 18,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"Информация о датасете BTC-USD:\n",
|
||
"<class 'pandas.core.frame.DataFrame'>\n",
|
||
"RangeIndex: 50000 entries, 0 to 49999\n",
|
||
"Data columns (total 7 columns):\n",
|
||
" # Column Non-Null Count Dtype \n",
|
||
"--- ------ -------------- ----- \n",
|
||
" 0 Name 50000 non-null object \n",
|
||
" 1 Class_or_Program 50000 non-null object \n",
|
||
" 2 Age 50000 non-null int64 \n",
|
||
" 3 Country 50000 non-null object \n",
|
||
" 4 IQ 50000 non-null int64 \n",
|
||
" 5 CGPA 50000 non-null float64\n",
|
||
" 6 Skill 50000 non-null object \n",
|
||
"dtypes: float64(1), int64(2), object(4)\n",
|
||
"memory usage: 2.7+ MB\n",
|
||
"None\n"
|
||
]
|
||
},
|
||
{
|
||
"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>Name</th>\n",
|
||
" <th>Class_or_Program</th>\n",
|
||
" <th>Age</th>\n",
|
||
" <th>Country</th>\n",
|
||
" <th>IQ</th>\n",
|
||
" <th>CGPA</th>\n",
|
||
" <th>Skill</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Catherine Owen</td>\n",
|
||
" <td>Arts</td>\n",
|
||
" <td>21</td>\n",
|
||
" <td>Tonga</td>\n",
|
||
" <td>105</td>\n",
|
||
" <td>3.18</td>\n",
|
||
" <td>Communication</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>Melissa Wright</td>\n",
|
||
" <td>10th</td>\n",
|
||
" <td>24</td>\n",
|
||
" <td>United Arab Emirates</td>\n",
|
||
" <td>102</td>\n",
|
||
" <td>2.72</td>\n",
|
||
" <td>Leadership</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>Laura Shaw</td>\n",
|
||
" <td>12th</td>\n",
|
||
" <td>18</td>\n",
|
||
" <td>Slovakia (Slovak Republic)</td>\n",
|
||
" <td>136</td>\n",
|
||
" <td>3.40</td>\n",
|
||
" <td>Communication</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>Rodney Cummings</td>\n",
|
||
" <td>10th</td>\n",
|
||
" <td>17</td>\n",
|
||
" <td>Barbados</td>\n",
|
||
" <td>83</td>\n",
|
||
" <td>2.49</td>\n",
|
||
" <td>Problem-solving</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>Barbara Hicks</td>\n",
|
||
" <td>12th</td>\n",
|
||
" <td>25</td>\n",
|
||
" <td>Canada</td>\n",
|
||
" <td>129</td>\n",
|
||
" <td>2.39</td>\n",
|
||
" <td>Communication</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Name Class_or_Program Age Country IQ \\\n",
|
||
"0 Catherine Owen Arts 21 Tonga 105 \n",
|
||
"1 Melissa Wright 10th 24 United Arab Emirates 102 \n",
|
||
"2 Laura Shaw 12th 18 Slovakia (Slovak Republic) 136 \n",
|
||
"3 Rodney Cummings 10th 17 Barbados 83 \n",
|
||
"4 Barbara Hicks 12th 25 Canada 129 \n",
|
||
"\n",
|
||
" CGPA Skill \n",
|
||
"0 3.18 Communication \n",
|
||
"1 2.72 Leadership \n",
|
||
"2 3.40 Communication \n",
|
||
"3 2.49 Problem-solving \n",
|
||
"4 2.39 Communication "
|
||
]
|
||
},
|
||
"execution_count": 18,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"print(\"\\nИнформация о датасете BTC-USD:\")\n",
|
||
"print(df_students.info())\n",
|
||
"df_students.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Анализируем датафрейм при помощи \"ящика с усами\". Проверяет на пустые значения."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 19,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1200x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Проверка на пустые значения в наборе данных 'Student':\n",
|
||
"Series([], dtype: int64)\n",
|
||
"\n",
|
||
"\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"plt.figure(figsize=(12, 6))\n",
|
||
"sns.boxplot(x='Class_or_Program', data=df_students)\n",
|
||
"plt.title('Распределение Class_or_Program студентов')\n",
|
||
"plt.xlabel('Class_or_Program')\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"check_missing_values(df_students, \"Student\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Видно, что выборка относительно сбалансированна, пустых значений нет."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 25,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"from sklearn.preprocessing import LabelEncoder\n",
|
||
"\n",
|
||
"# Преобразование категориального столбца в числовой для hexbin\n",
|
||
"label_encoder = LabelEncoder()\n",
|
||
"df_students['Class_or_Program_encoded'] = label_encoder.fit_transform(df_students['Class_or_Program'])\n",
|
||
"\n",
|
||
"# Визуализация плотности точек с использованием hexbin\n",
|
||
"plt.figure(figsize=(10, 6))\n",
|
||
"plt.hexbin(df_students['Class_or_Program_encoded'], df_students['IQ'], gridsize=30, cmap='coolwarm')\n",
|
||
"plt.colorbar(label='IQ')\n",
|
||
"# Настройка оси X, чтобы отображать текстовые метки вместо чисел\n",
|
||
"plt.xticks(ticks=range(len(label_encoder.classes_)), labels=label_encoder.classes_)\n",
|
||
"plt.xlabel('Class_or_Program')\n",
|
||
"plt.ylabel('IQ')\n",
|
||
"plt.title('Scatter Plot of Class_or_Program vs IQ (Before Cleaning)')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Убираем шумы"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 26,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Выбросы в Student Data:\n",
|
||
"Empty DataFrame\n",
|
||
"Columns: [Name, Class_or_Program, Age, Country, IQ, CGPA, Skill, Class_or_Program_encoded]\n",
|
||
"Index: []\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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QoUObdU4kSXI+GdBIF7X777+f22+/nQ0bNrBp0ya2bNnC8uXLWbFiBf/3f//HrbfeysmTJ8nLy+OKK66o8d2//OUv/OUvfwFwjJCUlZVx8uRJzpw5Q3JyMkCTpg5s3rwZIQSjRo2q0RAdNWoUb775Jjt27HA0pDt16tToRnTtvANERUUxd+7celc22717NyaTqc50l/79+xMVFcXWrVu56aabGvW3t27dSmJiYp0Gy6RJk3j88cc5ceJEox+w1el0WK3WRn22tu7du/Ppp5+iaRqnTp3i9OnTHDt2jBMnTjjOdefOnQkMDOTuu+9m/PjxDBs2jCFDhjBr1ixHOgMHDuT111/nwIEDDBs2jBEjRjTYUGvI1q1biYqKqtOLP2nSJL766iv27NnjeKahuQEc2Kby1J76otfrueKKK3jyySdrvF777zSm3DZv3ozBYHD8JsE2Reiqq65yTKG0q/17bUx52PXq1avGc27BwcF4enrWCDL8/f05cuRIg+diwIABREZGsnLlSvr3709VVRU//PCDoxHcmLJ3FlW1TV443285JSWlwVGep59+2rEogMlkIiUlhXfeeYdrrrmGxYsXExkZyaZNmwgJCaFHjx41zufll1/Oiy++SFFRUb1T4rZu3crll19e4zkcvV7P1VdfzRtvvFFjmlzt38zmzZsZMGAA7u7ujr/p7e1N//79+e233xo81pZc142tM+2jhvn5+Zw4cYLTp0/z008/AXXr6HM7VeydTuXl5efNx/m+s3nzZhITE2uMLNd3/dtFRkaSmpp63r8nSZJryYBGuuj5+fkxYcIER+P9wIEDzJo1i7lz5zJx4kQKCwsBCAoKajCN/Px8nnzySX744QcURaF9+/aOXuCm7NFi/1tXX311ve9nZWU5/tvLy6vR6b755puOaVgGg4GAgIAGp20BjmdQ6nsANzg4uElTcIqKimpMbTo3HYDi4uJGpxUZGXneZ37MZjNFRUUNPjj8wQcf8NZbb1FYWEhwcDA9e/bEw8PDcTxeXl4sWrSIN998k9WrV7N48WLc3d2ZPHkys2fPxmg0Mn/+fN566y1Wr17NmjVrUFWVyy67jGeeeabRvcxFRUX1Tour75x4eno2Ks36XH755cycORMARVHw8PAgKiqq3hWUav+dxpRbQUEB/v7+jga6XX3XSn2/1wuVh119D7k39bwoisLEiRP58ssvmT17Nj/99BPl5eVMnDjRkb8LlX1jREVFsXfv3vN+xv5MSWRkZIOfKS0trfM8iV3Hjh1JSEhw/O9+/foxYMAAxowZw/vvv8/s2bMpLCwkJyfHEfjUlpOTU29A09D1ExwcjBCixnMstcugsLCQVatW1bs09flWUIuMjLzgOcvIyCAiIqLO642tM5OTk3n66adJTk7Gw8ODuLg4x/mvXUefe97tv+0L1ePn+05+fn695RAcHExubm69aTX0vJAkSW1DBjTSRSkrK4vp06dz//33O55dsYuPj+fBBx90PMxqf9g2Pz+/xucKCgo4cOAAiYmJPPzww5w4cYIPP/yQxMREjEYjFRUVfPHFF03Kl/1v/e9//6u3AXi+BtD5dOnSpcEpYfWxN3Ryc3Pp1KlTjfdycnLqbeieL62cnJw6r9tfs0+ha4yhQ4fyv//9j5ycnHoDgl9++YWZM2eyYMGCOqNSy5cvZ86cOcyaNYtp06Y5Glj333+/YzQNbCMJc+fOxWq1snfvXpYuXcpnn31Gu3btuOOOO/Dx8WHWrFnMmjWLEydOsG7dOhYuXMjTTz/d6FXx/Pz8OH36tFPOyfn4+/vXaPg2RWPKLSwsjIKCAjRNqxHUnO95CbvGloczTZ48mbfffpstW7awatUqkpKSagShFyr7xhg1ahQ//fQT27dvd3RqgK2jpFu3bqiqytq1azEYDAwaNKjBdPz9/ZvUcRAZGUlgYCCnTp0CwMfHhw4dOvDSSy/V+/mG6gM/P796G9nnlnt2dna93/Xx8eGyyy6rd5GSc0fYahs2bBg//fQTycnJ9f5eDx48yJQpU3j88cfrTLdrTJ1pfz6qa9eujmmGqqryyy+/sGbNmgbz5Szh4eH1ntOGrpPi4uJm1/WSJLUOuSiAdFEKDg5Gr9fz6aef1rvB4IkTJ3Bzc6N9+/Z06tSJgIAAx/QEu6VLl3LXXXdhNpvZsWMHY8eOZeDAgY6e3PXr1wM4VlGrvSoXUKdn294AKigoICEhwfEvPz+fV1991dEb2dp69+6N0Wis89Dq9u3bSU9PdzxjUDv/9UlKSmLXrl11nhdYtmwZISEhtG/fvtH5uummmzAYDDz33HN1pqiUl5fz2muvERAQwPDhw+t8d8eOHfj6+nLHHXc4Gs9lZWXs2LHDUUbfffcdgwYNIicnB51OR2JiIk899RS+vr6kp6eTlpbGiBEj+O677wBbA/jOO+/ksssuO+/IUX3nJC0trc4eRMuWLcNgMDT4cLQrNabcBgwYgMVi4ccff3S8L4Tghx9+uGD6jSkPZ4uNjaVHjx6sXLmSX375hUmTJjneu1DZN9bEiRPp0KEDTz/9tON6tT+gP2HCBN5//32WLl3KzTfffN5Ri6ioKMcqdI2RmppKfn6+48H5AQMGkJGRQVBQUI265Ndff+Xdd9+ttz4CW7n/9NNPNUYIrFYrK1euJCEh4bwjVQMGDODYsWN0797d8fd69uzJhx9+yPfff9/g9yZNmkRISAgvvPAClZWVNd6zWq2OPXtqrzwJjaszT5w4QWFhIbfeeitxcXGOeqt2Hd1akpKS2L17d40Oguzs7HpX0BNCkJWV1exniiRJah1yhEa6KOl0Op566ilmzpzJ9OnTuemmm4iNjXWsPLRo0SLuv/9+x0jFvffeyzPPPENQUBCjRo3i5MmTvPbaa9x00034+fnRq1cvli9fTo8ePQgPD2fnzp288847KIriWEHHPt9/06ZNxMbG0rt3b0fv4ooVK+jduzddu3Zl0qRJ/Otf/yItLY2ePXty8uRJ5s+fT3R0dIOr/Dibv78/d911F2+88QYGg4HLL7+c1NRUXn31VeLi4hwrwNnz//333zN8+PB6H5r905/+xLJly7j99tv5+9//jr+/P0uWLGHz5s08//zzjQqK7KKjo3nqqaf45z//yU033cSMGTOIiIjgzJkzfPDBB6SkpPDee+/h5uZW57u9evXis88+Y86cOVx++eVkZ2fz3nvvkZub6yjnvn37omkaM2fO5K677sLLy4vVq1dTUlLC2LFjiYqKIjw8nGeffZbS0lLatWvHvn37+OWXX/jrX//a6OOYNm0an376KTNnzuS+++4jOjqaH3/8ka+//pq///3v9S7B62qNKbekpCSGDBnCP//5T3Jzc4mMjOSrr77i8OHD9T7Mfq7GlEdrmDx5Mv/5z3/Q6/WMHz/e8fqFyr6xPDw8eO211/jrX//KlClTuP3224mPj+fJJ5/k3//+N//5z38ICAjg7rvvPm86Q4YM4dNPP0UIUedcHjt2zPEbF0I4NsZ0c3Pj5ptvBmy/sU8++YQ//elP3H333URERPDbb7/x3//+l5tvvrnBTT3//ve/s379em699VbuuusuDAYDn3zyCSkpKbz77rvnzfM999zDjBkz+Otf/8oNN9yAm5sbixcv5ocffmhwBTqw1Y1z5szh73//O9deey0333wzHTp0IDMzk0WLFrF3717mzZtX7zTZxtSZ5eXleHt789Zbb6HX69Hr9axZs8axwMG5q5y1hltvvZVFixbxl7/8xTEFdOHChZjN5jple+TIEUpKShg2bFir5kmSpKaRAY100Ro5ciRffPEF7733Hm+99Rb5+fkYjUbi4+OZP39+jUbMTTfdhKenJ++99x6LFy8mPDycO++8kzvvvBOAOXPm8O9//5t///vfAI4e2mXLlrF9+3bA9hzAn/70JxYvXswvv/zCr7/+ytixY1m6dCmPPfYY11xzDU899RQvvPACb7/9Np9//jmZmZkEBQVx1VVX8cADDzTYq9oa7r33XoKDg/nkk09YvHgx/v7+jB8/ngceeMAxd37gwIFcdtllzJs3j02bNtU75SokJITPPvuMefPm8eyzz2I2m+nWrRsLFy507M3TFFOnTqV9+/b873//45VXXiEvL4+QkBD69u3L66+/3uBKRFOnTiU1NZWvv/6aTz/9lLCwMEaMGMGNN97Iv/71L44fP05sbCzvvvsur776Kv/85z+pqKigc+fOvP76647pQQsWLODll1/m1VdfpaCggIiICP7+9787Hi5vDA8PDz7++GPmzZvHq6++SmlpKZ06deK5555z2tLMLdXYcps/fz5z5sxh3rx5WCwWRo8ezQ033HDBvXkaWx7OZl+t6/LLL6+xqEBoaOgFy76x7Hu6fPTRR3z55ZekpaXh5uZGly5dGDVqFN988w0TJ07ksccea/DZj7Fjx/LGG2+wd+9exyplduduhKuqKv7+/vTp04e5c+c6Oj08PT1ZtGgR8+bNY+7cuZSUlBAVFcU//vEP/vznPzeY986dO/Ppp5/y8ssv8/jjj6MoCr169eKjjz6qMYWuPt26dWPRokXMnz+fRx55BCEEXbp04Y033rjgtT506FC+/PJL3n//fd5++21yc3Px9/enZ8+eLF68uM45ONeF6kwfHx8WLlzIiy++yP3334+Xlxfdu3fnk08+4c4772T79u2MGjXqvPlrCV9fXz766COee+45HnnkEby8vLjxxhvx8PCo8xzS+vXrHfWZJEkXD0U05YloSZIk6ZKRlpbG7t27GT16dI2FBu677z5SUlL49ttv2zB3Fy+TycSSJUsIDQ1tcM8lgLvvvpuAgABeeOEF12VOcro9e/ZQWFjoWLkQbJu6jhw5kquvvtqxQbEQgnHjxnHjjTfWuzS3JEltR47QSJL0h2G1Wi+4GpKiKM0eadM0rVHz/c/3ALYzqarKY489xujRo7nmmmvQ6XRs2LCBtWvXykb4eRiNRq677roLfu7BBx/kxhtv5N5775UPiV/C0tPTHQvNDBgwgIqKChYvXkxJSUmN38HatWuxWq3MmDGjDXMrSVJ95AiNJEl/GLfccssFd/iOioqq8RB9Uzz22GONGvU4fPhws9Jvjs2bN/PGG29w8OBBLBYLsbGx/OlPf6qzh5HUPO+88w6HDh3i5ZdfbuusSC3w2Wef8emnn5KSkoLBYKB3797cf//9jlXdTCYTEydO5Pnnn6dfv35tnFtJkmqTAY0kSX8YJ06cqLHxYH2MRmO9m5k2RmpqKgUFBRf8XHOXapYkSZIkqS4Z0EiSJEmSJEmSdMmS+9BIkiRJkiRJknTJkgGNJEmSJEmSJEmXLLnKWS27du1CCNHgpmaSJEmSJElS27JvfJqYmNjWWanj8OHDmEymVku/Jc96nuvkyZNMmzaNf/3rX0ybNg2AgwcP8txzz7Fv3z4CAwO5/fbbufXWWx3f0TSNBQsW8OWXX1JSUkJSUhJPPPEEMTExLc5PS8iAphYhxAWXdXX23zObzRgMhgvu3C1dnGQZXvpkGV76ZBle2mT5XfpcXYYX8yPgJpOJqvIKrFl5Tk9bFxbklHTMZjMPP/ww5eXljtcKCgr405/+xKhRo3j66afZvXs3Tz/9NF5eXkyfPh2AhQsX8umnnzJnzhzCw8OZO3cud9xxB8uXL8doNDolb80hA5pa7CMzrlqFqLy8nIMHDxIXF1dnR2Lp0iDL8NIny/DSJ8vw0ibL79Ln6jJMTk5u9b/REtasPHKnP+D0dIO/fgU6Rrc4nddffx1vb+8ar33xxRcYDAaeeeYZ9Ho9sbGxnD59mnfeeYfp06djMpl4//33efjhhx2bDs+fP59hw4axdu3aNt0OQD5DI0mSJEmSJEnOpIBiUJz+DycMfm3bto3FixczZ86cGq9v376dAQMG1Nj8edCgQZw6dYrc3FwOHTpEWVkZgwcPdrzv6+tLfHw827Zta3nGWkAGNJIkSZIkSZL0B1BcXMwjjzzC7NmziYiIqPFeZmYm4eHhNV4LDQ0FICMjg8zMTIA63wsNDXW811bklDNJkiRJkiRJciIFUPXOf5ZIwRZcPPDAAw1+Zt26dQ2+99RTT5GYmMjEiRPrvFdZWVnnORg3NzcAqqqqqKioAKj3M0VFRY08gtYhAxpJkiRJkiRJciYFFEMrTIRqQYy0ZMkStm/fzvLly+t9393dvc7qbFVVVQB4enri7u4O2BY9sP+3/TMeHh7Nz5gTyIBGkiRJkiRJki4RERER5x2FacjXX39NXl6e44F+uyeffJJVq1YRHh5OdnZ2jffs/zssLAyLxeJ4rV27djU+44xlpFtCBjSSJEmSJEmS5GStMeWsJV566SUqKytrvDZ27Fjuu+8+Jk2axNKlS/n888+xWq3odDoANm/eTMeOHQkKCsLHxwdvb2+2bNniCGiKi4s5cOAAN998s8uP51wyoJEkSZIkSZKk37mwsLB6Xw8KCiIsLIzp06fz7rvv8s9//pM77riDvXv38uGHH/L0008Dtmdnbr75Zl566SUCAwOJiopi7ty5hIeHM3bsWFceSh0yoJEkSZIkSZIkZ6petrk10m0tQUFBvPvuuzz33HNMnTqVkJAQHnnkEaZOner4zH333YfFYmH27NlUVlaSlJTEe++959jHsa3IgEaSJEmSJEmS/oAOHz5c43/36tWLxYsXN/h5nU7HrFmzmDVrVmtnrUlkQCNJkiRJkiRJTqQorbRs88X1WM5FQwY0bUirKkfLOEp7cxYiyx0RHYdicGtWWoePlfDF0lTOpFcweVwEV4wIxc1N1/Q8aYItO/P5clkaQsC1k6IY1C8QVW36FVRl0vj+lyyWfpdBdIQH10+OpltnnyanA1BUbGbZmgx+WJ9NUp8Apk+IIiLM/cJfrEdqegVfrUhj975Cxo4MY+LYCHy8m34pCCHQSgvQ0o7SzlKAKPBHuHdEUZu+TKPVKti4NY+vlqfh7qZy3aQo+vcJQGlGzVVRaWXNT1ksX5NBXEcvrpscTWwH7yanA5BXYGLJ6nTW/5bLZQOCmHZ1JCFBzfuNnkop48tlaRw8UsJVY8K5anQYnp7NO++79hXx5dJUikstTLs6khGXhaDXNf1cCU3DUpiFNeMkEaISUVaI8PBo1nkvK7ew8odMVv+QSY9uflw7MYr2MZ5NTgcgO7eKb1amsWlbPiOGBDP1ykgC/I0X/mI9jp4s5culqZw4XcbEcRGMGxmGu3vT6wYhBFt3FfDFsjTMZo1rJ0ZxWVIQumacd5NZY92GbJasSics1J3rJ0fTo6tvk9MB0KwWKgtyKC/Ixt+goZlNQPPOe3pmBV+vSGP7nkLGDA9l8vgIfH2aN43iwJFiFi9JJSO7kinjIxkzIhRjM5Zw1TTBb9vz+GpZGjqdwrWTohmQGNC8OrnKypqfs1m+JoP2MZ5cPzmazp2aVzcUFJpY+l0GP23MYWD/QKZfHUlYSPPqZLOpivKCHII89VSWFOLu5oaqa95vdO+BYr5Ymkp+oYlpV0dx+ZBg9Pqmn3eLVbBhcy5fr0jD21PPdZOjSEzwb1bdUF5hZfW6TFb+kEnXOB+umxRFx3ZeTU4HIDevim9Xp7Nxcx7DBgUx9eooggKaVzecOF3GF8tSOXK8lAlXhHPl6HA8mlk3WEvysWScIIpitOJchEdMs86VJDWXIoQQbZ2Ji0lycjIACQkJrZK+vRFsyjiONT/D9hrVUyIVBX1wDIaITug8L3xzt1oFG7fk8tm3qew7VIxOBU2AEODtpWf6hEimXhVJcOCFG6AVlVa++zGLz79NIS2zEnubXNMgIsydGVOjuXJUOJ4eF67s8gpMLFmVzlcr0igptdh6KVQFq1XQo5svN0yJZuig4EY1QE+esTWCV63LxGoVCAGqajvGYYOCmTElmoTuvhesOIUQ7Eou5PMlqfy2LR+dClbN1tNhMKhMHBvONROjiIm8cENIaBqW/AzMGcfRyosABYGwlaHeiDG8I4bQ9o0KTsvKLaz8PpPPl6SSnVuFqtp+C1YN2kV5cMPUGMaObFxwmpVTyTcr0/l2VTrlFVbbeVdsaSUm+DFjSgyD+zcuOD16opTFS1P5/pdshCbQqs87wKihIcyYEtOo4FQIwZadBSxeksq23QWO8w7g7qYy+cpIrmlkcGoya6xbn81n36Zw4nQ5OtV23jUNggKMXD8lmgljw/H1vnADVFhMmHJSMWedQlhsa+7br0PVwwdjeAf0ARGNCk7TMiv4enkay9ZkUGXSEAJ0qoJVEwxIDOCGqdGNDk73Hy5m8dJUft6YA4rt+rNfP+NGhnLt5Gg6d7xwA9RqFWzansfn36aye38ROlVBE7brx8tTx7SrI5l2dVSjgtPKSitrfs7is29TSU2vQKfazpWmQXioG9dPjubqMeGNCk4LCm0B8lfL0ygqsdcNYLVCt84+3DA1utHBqaWqgor8LCoLc2wVArb/pyhg9PbHIygcg6dPo+qGPfuLWLwklY1b81DOOe96vcLVY8K5dmJ0o4JTi1WwflMun3+bwoEjJTXOu6+PnmsmRjFlfCSBjWiAlpdbWLUui8+XpJCZXbNuiI5wZ8bUGMZf3rjgNDeviq9XpvPtqjRKy6w16uRe8b7MmBLDkAGNC06Pnyrli6WprPkpG+3cukHAyCEhXDc5mp7dLnz/EkJQVV5GaUEOVeWljtcURUFRFDz9AvH2D0JvvPBv1GzW+HFjDp99m8Kxk2W236iw3Q8D/Q1cOymaSeMi8PO9cN1QUmph+doMvliaSm6+qcZ57xDjyQ3TYhgzPBQ344XrhszsSr5ansbS79KprNQQnK0b+vf25/op0Qzs27g6+VB1p+W69TmOes+WN4UxI0K4fnI0XWIvXCdrmmDzjnw+/zaVncmFjvwAeHromHJVJNOuiiQ89MJ1stCsmPMzMGWdQqsss72G7XwpBjeMYR0wBkeh6Frn2YrWbq+1RHJyMpUpaZTe/6jT0/Z+9T+4x0RdlMfdlmRAU0trXSC2RnA65vSzjWDbpV+b7XXVNxhjRCw6/9A6N+TSMnsjOIWcPFuFq2l1U3JUdsNtN5mucXUru6ycSr5emc6S6kZwfZTqrHp46JhyZQTTro6qt7I7cryExUtT+eGXsxVufXnSNAgJMnLd5Ggmjo3A26tmQ0jTbD3Bn3+bwvY9NSvcc+l0thty505e3DA1hsuHhGCo1QNaZTrbCD55przhtKob2oP6BzJjSjT9etXtiRNmE+ac05gzTyLMVfWeq3NPmj44GkN4/cFpWoZtlGh5dSMYUffXoCj24FTHtKujmHZVJMH1NED3H7b1BP/869lGcG328x4R5s6MKdFcObpucGq1Cn7dmsfnS1LYe6DYcX7rnKvq13t09WHG1BiG1ROcVlZa+e6nLD5fcrYRbG0gX7bgNIjrJ8fQK75ucJpfYGLJd7ZGcHF1I7i+WktRwKBXuPqKCK6dGEW76LoNUGtFKebs05hz00DUk6Fz6Q0YQ9tjCGmHaqjZALU3gj9fksrGLXkNXoP2446pDk7H1ROcWqyCX37L4fNvUzl4tASdztbAr5NW9Xnv08OPGdOiuax/UJ2GUHn1KNHipamORnBDvwewBafXT46me5e6v9GcPNso0Tcr0ykrt9Z73pXq/+NmVJk8PoLpE6KIDK+7udqxk7ZG8Nqfs9HE+euGoAAj102OYuK4iDrBqRACc1kx5XmZmMsuvCu1zs0Dz6AI3HwD6wSnZrPGug22RvDxU2UN/kbtdUZSYgA3TIkmKbFucFpcambF2kwWL0klr+ACdbKiMHZkKNc1EJxmZFXy9YqzjWBouG7w9DgbnIYG160bDh211cnrNtj2kTjfeQ8LceP6Kbbg1Muzbp28aXs+ny9JYVdyUcPnqvo32jXOmxunxTBicN3REaFplJcUUpqfg8VsqptILe5ePngHBGP08Kpz3guLzCz9Lp0vl6dRWGQ+b92g1ytcNTqcaydF0SGm7uhISno5Xy1PY/naTMxmrcF07MHp9AlRTL2ybnAqhCD5oK1jYv2mXEeAXOdcqTWD03GXh9UZHbFWjxJ9tiSV/YeKz3MvtNUZCd19uWFq/cFpeYWV1T9m8vm3qWRkVZ6/bhAw4rIQrp8SRc9ufnU+o5mrMOWcwZR9BqyWuonUOGkqxpBojCHtUN2bNyrVkIs+oElNo/yhx5yetufLc3CPlgFNbTKgqcXZF4gwm2wNqIzjjp7gxrFFEYqbJ8aIWPQhMaRnm/lyua0RbGqgwq2PveLs2c2XG6ZGM3RgMAeP2np7ztcIro+9ATpicDDXT4mme2cfftuWz2ffppB8sOFGcL1HqIDRoDJxbATXTIwiKNDImp9so0SpGZUN3jTr5Emx9cQF+Bm4dlIUk8ZFommCb1en8/WK8zeCa7P/zfYxntwwNZorRoRhsJZhyjyJJSflwo3gmkcICFSfIIwRsah+IezZX8znS1L5dWvDjeB6j7E6OB1dHZzGdfDil0220blDR0safd7twam7u8qUKyOZPiEKH2+9rRG8JJWsnIYbwfXl6dzgdMIVEVRUWvlmZRrfrmq4EVwf+w05rqMtOB01NIRTqeV8uTSVNT9n20Y2G3muHMFpv0CunxJNv15+aCX5mLJOYi3Oo+HOhAYoCvrASIxhHbAavFi3IZvPv0nl+OmGG8H1JOEITqdeFcX0qyMxuqksX5PBF0vTztsIrs3+ufBQN2ZMieGq0WEUFpv5emU6S1enNxgg18feQIrvYgtOhw8O5mh1x8SPG3OAxv9G7SPEwwYGcf0UWy/9puqe4N37ippcNxj0CleNieC6SVHERLpTWZRLRV4mVlPlhROonZ5Oj0dgGB4BoRSVCZauzuDL5WkUFTfcCK7v+KwaxER6MGNqNONGhpGdV8VXy9NY8X3DjeD607Kd9z49/JgxNZpB/QLZf7iExUtT2LA5r8FGcH0coyNDQ5gxxdZLv3FzLp99m8L+w02oG6r/j5tRZdI4W53s72dk9TrbCPL5GsH15UnTIDDAwHXVoyNeHlBWmEdpYR6isQd3Dr3RDe+AEDx9/DiZUsEXy1L57scsx8h9Y9jLMCkxgBlToknq48/OZFvHxObt+Y2+nsF231FUhStGhHL95Gg6xHjy06+2APnoibIm1cn24HTqVZFMuzoSL089K77PYPGS1PN2WtbJU/XnQoPdmDElmquvCKek1MI3K9NYsjrDMXLfuN+77TfaNc6bG6bGMPKyYBRTKVVZp7DkZ9KkOrS6ztX7hWAMa4/OO9Ap09FkQHPxHXdbuqgCmrfffpuNGzfy8ccfO16bPXs2X375ZY3PRUVF8eOPPwKgaRoLFizgyy+/pKSkhKSkJJ544gliYmKalQdnXiDm7NNUnUxuYiO4fm+s8WT5dkOTKtza7JWdXq9gsYgmNTBqs3/XnlZTGud10qo+Jr1OwWIVja5w66Mo5zwwVz3loLnpCAH/N72S4d1NNLkRXDM1Kk2Cf3zkw/FM5aI5747fg66616+RjeD62M+7fcpPc/NkT8PxG22gR7IxdCp4uglevctMhH/9o49NyBmH0+DJz9wpKjsbRDeHvVPAnkZLfusIUHWgWUFxxm/BSefdek5aLa0bunVQ+def3XBzwqyV1ZssvL/cjKa1vG6wB+FOrZNbkJY9Pwa9gtmZdYNVQAvr5Cmj3bl+vKdTHmae/1Epm/eYnPIbtZ+rlp33WnVyS+sGDVSdgqY1PlCrzR6c2vPSkjrZ9lsQzLndQq8OVlp6LwSB6uGNV9eBKLqWPcZ9KQQ0FbMed3raHnNfkAFNPS6aRQEWLVrEK6+8Qv/+/Wu8fvjwYe6+++4aO5DqznlYcOHChXz66afMmTOH8PBw5s6dyx133MHy5csxGpv3oJyzWItynBLMAPx22HbMza104WyFZrHYKqPmNqrP/a49reZWlnD2mCzWs/Pgm0u0oIFYOx2A/p3so2otSVSQX6pwPNN2N79YzrtW67y3xLnnvaXlB+f8RpvbMsD2uwr3F04IZgAER9N1FJXZZoi3IFuO897S024/V/bpaS2paurUDS087+em1dK6oVt7FYPO8aRhi+w+YsXSwp9D7fPu1Dq5JeeqOj/m1qgbWnhN9+5qcNrKTNv32+pkZ/xGzU4577XqZGfUDS2sHET1/7E6oU7WNFsAaAtmHKm3JGdoFaVo5kp0uuYtSCFJ9Wn60h9OlpWVxd13381LL71Ehw4darwnhODYsWP07NmTkJAQx7/AwEAATCYT77//Pvfddx8jR46kW7duzJ8/n8zMTNauXdsGRyNJ0u+ZXLOnbbSkkShJktQmFNtom7P/yRtR/do8oNm/fz8Gg4Fly5bRu3fvGu+dOXOG8vJyOnXqVO93Dx06RFlZGYMHD3a85uvrS3x8PNu2bWvVfEuSJEmSJEmS1PbafMrZqFGjGDVqVL3vHTlyBICPP/6Y9evXo6oqw4cP58EHH8THx4fMzEwAIiIianwvNDTU8V5zCCEoLy9v9vfttJbObZAkSZIkSfqdqayoRNFa1qduX+b7YqY0Y78oqXnaPKA5nyNHjqCqKqGhobz11lucOXOGF198kaNHj/K///2PiooKgDrPyri5uVFUdOElPRtiNps5ePBgi/IOEGEpxgc5OihJkiRJTiGnH/4uHD9xHLMTmqBt/ay0dPG4qAOav/3tb9x4440EBAQA0KVLF0JCQrjuuutITk7G3d22F4rJZHL8N0BVVRUeHnX3Qmgsg8FAXFxcyzIPaKeToaiixelIkiRJkoTsIfydiO0Ui+J24c1qz+fYsWNOyk3rUABF5/wnO+QlUL+LOqBRVdURzNh17twZgMzMTMdUs+zsbNq1a+f4THZ2Nl27dm3231UUBU/Pll1oAJV6HRfYckqSJEmSJOkPxd3DHZ17y9pZF/t0M8m12nxRgPN55JFHuP3222u8Zl93PC4ujm7duuHt7c2WLVsc7xcXF3PgwAGSkpJcmdVWVaUZiO4SSWT7oLbOyh/Oqp0GdhzXtXgp6FLNk7ieUfgGOHenZOn8qszw1W96zuS07MYnBFg9A4hPjMLd0wkbokiNpvfx50xlGCatZf1vJrMgt1DOV3I1vV6lXBdIVoUfmmjZdVhUorVoOWqpedw8jOwpakdGpb9TtkX4w1Ccv8KZbZUzGcjV56IeoRk3bhz33HMPCxYsYNKkSZw8eZJnnnmGCRMmEBsbC8DNN9/MSy+9RGBgIFFRUcydO5fw8HDGjh3bxrkH1csf8tJp7kZURVYvDlZ14lhVO7oPUIlXFMqKKzm4J4WTh7KwmOWiA63t3XXugEJUoJXpg0yMSjDj3sj2rBCQVhXE3tJOnKkKoUd/6JmkkJtZyLF9aWSm5sv54K3sTK7Ke98rvPe9gb6drEwbbKFvrNbo+4FVqKRYIjhs6oi5nTcDYwQDhsdy7FA2+3emkp9T1roH8Ael16vExYeR0C8a7wBPDpQKDpW2I9ojl46emfjoKxudVmGJ4LvNFlb+ZqG05Wu9SI3k5W2kR2IUPRIjKTTqKCpSMJRYiPHMJdIzH6Pa+PvXqXQLq9dXsmGHSQY0LuQX5E1sfBQRHUL4LR9AIchYQh+/U8R6ZaFTmncDUwxuqHo3p+b1YiUXBXAdRYiLJ95+7LHHSEtL4+OPP3a8tnr1at555x1OnDiBj48PEydO5IEHHsDNzXYxWK1WXn75Zb755hsqKytJSkriiSeeIDo6ull5cPbOs1plGebMk5izTzVqpzMhIMMSzIHKWNIsYShoiHMG0uzFZTFbOXYgg6PJaZSVVDklr1LDbCGpwMsNJvY3MaGfiWDf+i8di1A5Vh7JntJOFFh86i1DRVEoL63k2L40zhzNwiJXxGt19t3PIwM1pg+2MKq3tcHgtFIzctzcjmOmdpgxYos8z96YNE1DVVUyUwtJ3pFKyok82XPpBJ7eRuL7RNG9dyQGo20z4XOnlSgIBArBxiI6eWYSYixqMDg9ma6xfKOF9busaE7acFe6sJBwH3r1j6JT11AA1BoNOlshKAgiPAqJ9szF21D//UvTBDsPmFnxSyUHT1gc16/UuhQFwtsFE9sjioAQXzRN1ChD+zXorpro5XeGeJ9UPHTmC6UKCFRPX9zCOqAPCENRWj5ByNntNWdKTk6mKj0d61NPOD1t3VPP4BYZeVEed1u6qAKai0FrXSDCYsaccwZzxnGEqW7vokWonDRFs78yliKtbiO4PpomUBRIPZHLoT2p5GYWOzXPUv3U6l6p4fEWpg6somuk7S5bZnXjQFl79pW2p0rYW8oN987YLz2rRePU4QxOHEynvFQGp63NHpx6usHEJAsTkiwE+9reK7T6cNTUgTOWCITtkc7zpiU0gaIqlBZXsm9HKkf2ZWKWI6dNFhLuQ8++0XToEgLUbgTXZW9UeeoqifXMINojD52iYdUE2w9qLFtv4cApDZ3asl3gpcZRFOjYJYTeSdGERvg6Av7zfqe6DAOMpbTzyiHQWIqiQEWl4OdtVaz4pZLcAg1VkRuruoLeoKNdl3Bi46Nw93RrxJLI9hpS0MU7nV5+Zwgy1j9irQ8IwxjaAb23v1PzfCkENOLfTzo9beVfT8uAph4yoKmltS8QIQTWgkxMGcfRSvKxCh17K+M4VNURUyMawfWx96BkphSw5afDslHsIjpVYNUUenTSMWhoe/J1Ediq96YPMduD06PJqRzecwarRbbCXMEenF4xxIfu/TtRogY0qjOhtrMjpxobvz/CySPZckSgEaLaB9BvSAdCwuv2BDeO7STrFSuZB47w26ZccgqF7M13oYR+UfQeEIOXt5sjwG8Ke2Cjs5RzYMsRNm0vosrUSpmV6jAY9XRNbE+7uDDU6hW5mvqwvb3OjHLPIyngOBHuRaDqMIbEYAxth2ps/qqz5yMDmovvuNvSRf0Mze+RoijoAyPQB0ZgLSvkxJEM9hY2f0U2ONubmZddLIMZF7JqtvMuAmLIVSNRWrCYor0Ms9LyZTDjQvaHlD07dqVY8bJPjGhyOvYGgE6vcuJwtjOz+Ls25IouePvYpg83PZgBe+dPablg6eocx6symHENHz93LhsV5wjom/O8gL0D6PDREn7+rfn7x0nNE9khmI7dIluUhr3OTKsMxJKv45q++XiFd0DR/cGbmAooulZ4hkY+llOvi3qVs987nZc/SmhHp6YplzFsA4pt6pFTyF79NqGoinOuHTks0ySq4pzzLicatA170TmnDFuchNQciuLE60ehAgNqQKQMZiSXk784SZIkSZIkSXIiBWyr0UguIc+0JEmSJEmSJEmXLDlCI0mSJEmSJElO1hr70MjZmfWTAY0kSZIkSZIkOZMCaissCmCVj0rXS045kyRJkiRJkiTpkiVHaNqYXJ1HkiRJkqTfA0XTAF1bZ+MiobTKlDO5bnP95AhNG9FMVZRsWEvFJ68BoIiW7y6u6lQZILUBzWK1VVotPPdCCHR6eUm6nsBcZUE4YfMSQXP3U/ljMputaE5Y8rx6P0BUObvcpSzVe2ZpTrh2DNVtYFmGrmW1WFGctHSzIjQ8sk9R+uV7mNJOOyF3ktR4coTGxSwFeZT8vJqSn1chKsrxBZLKn+N45ynkB/dA0awItfG9G/ZKSLPadtl28zBQVWFupdxLZ9nOuxEzEXu/pX2lD9k9J1DpE96sMlQUhapKM14+HqhqkVMaedL5qWhoqPiLYgzfLiCobxyF/SaiGdxtH1AaH1xqmoaqqhTklhHRzp+0UwWtlOvflzXfJNOzXxRdEyLQNWOXcvu1FlJ6kgd77OPXE25sq4hFATTZX9fqyktNLPtsN72SomkfG4QQzQjoqzvzBnofp2PX/aw9E86JiiBURUMTsgxbW9oJ20bAsT2i8Q3wQmgaSlOWGq5ugxisFXRJW0PXtO8wWUvI3r4BY1w8PqMn4h6f2LQ0f0f+qMfdFhQhu/RrSE5OBiAhIcGp6VadOkbx90sp3/GrrS0s6vZoFft24ETcBNJiRiIU9bwNKnsjuKKsisN70zh+IANTlcWpeZbqsjeCAyhitNjEZezCgyrAtuN1TswgTvW8loKI3hcMbOyN4MLcEo7uSyP9VK4cYXMBFSsaOjpqpxll3kiC9aCjV9hq8KCg15XkDJ6ByT8SNCuctwwFigKnjuawb0ca2RnFrjqM3xWjm44uPSLo2T8aL283R/3WIM3WCA5P2Ui7oyvxLTjueCvX4s2a0t78UJpApTCgcHY3eqn1+Pq707NvFN17RThGmhssw+p6Tm+poF3KOtql/Ih7VaHj7cNlISzLiWdTUQcUhAxOXSQozI9O8VGExQReMDhVhBWh6PApz6B76go6Zm1Ar5lqfUgFoaELDMFn1EQ8B41EdXN3Wn5bq73mDMnJyZgyMzDMf97paZsf/D+M4REX5XG3JRnQ1OLMC0RYrZTv3kLx2iWYTh6xNYy0C08tq3Lz43TH8ZyMnYDZ6GMLfqqDG3sjOD+7hIO7U0g5keu8XeqlBtkDmVjOMEb8Ri8On3dqRElAJ073mEZ67BhbUHNOcCo0AQqkn8rl2P40CnJKXHEIf3iK0FAQ9LXuZaT5N9qJ9AY/K1AoiRtM9uAZlLXvC5oFVNuAtr3KtJitHNyTwcHdaZSWVLnkGH7vFAXaxQbTq380oZF+jvoOqO4EUtCby4k+tpqY49/hVtnwSFilZmB9WTdWlvYl2+LnuIal1mU06uiaEE6vpGi8fdwRmnA8R2BvBHuWZdLx1GoiMzajq90IPkeOyYvVud1YndeNSs0+oUQGp63N08edjt0iad8lHLXWyKm9DCPy99A9dSXhBXsbUSLV3Qpu7ngNGYP38PHog0JbnM9LIaAxvvqC09M23f+4DGjqIQOaWpx5geR//l9Kflzp6KVoKquqJz16GMc7T6XUtx1CE6ScyOHQnlTysmQj2FVUYSWJZEaxhXZkNOm7Ve7+pHSbyOn4aVjcfTGbLZw8lMHJgxlUlMlGcGtT0BCoeIgKhls2MdS8FT+adu1UhHQiZ+B15CeMR9HpKSmqIHl7KkcPZGIxt/zZAal+wWHe9OgbTWzXEBRVxbMkjfaHlxJ+esN5G8G1aQJ2V3ZgVUki+6tiWjHH0rkUBTrEBdMrKZrwKD8AgnKT6XjqO4LyDzQpLKm06vm5IJYlOT3JMvm0ToalOvQGHTFxYcT2iMLDyx1VMxOb+TNd01bjV95wh9B5qSooChFPL0TnF9Ci/MmA5uI77rYkn6FpRdbiIlut3oxgBkCnWYg58xPRZ37in+If5JQaKC+VjWBXul98SAS5+FHarO+7VRYSt/tjvPeu4Y2wxynILcFqkY1gV4m0pjPN/B3ttRSMNG9KpkfOCdqtmMOZ9dv4OWQy2RmyM8EVcrNK+WX1IQJ3fsOYsDMEFBxpVt+8qkBfj1P09TjFs9lTqoMa2cvf2oSAk0dzOXk0lyf77qSzWxZe5VnNSstdZ2F88GHGBh3mur23YJWraLmExWzl5MF0zhxKYX7CT/iVp+JmKWtZotULSGgV5S0OaC52SivtQ9OExwz/UGRAcwlQgOKcIsqtsmfK1TqQjjuN7w1uiKpZyM0sckKOpKZQgc7aSaekJcpLyU4vlncTF9PKy/DLP+aU0+6hygVT2oKxOBMvr+wWp6Mq1ZefnFfiWgJCiw+3dS4uSa2zbLNUHzmhWJIkSZIkSZKkS5YcoZEkSZIkSZIkJ5PLNruOPNOSJEmSJEmSJF2y5AiNJEmSJEmSJDmTorTOMzTyOc56yREaSZIkSZIkSZIuWTKgaW0tXI1FKCp5MQMYMS2JEWPjCAjycE6+pEZ5kxl8wXiyCWx2GhaDB/m9rmL05N7E922H0U0OjLpKseLNq2538KN+CBW4NTudKt9w9CMmMmZKbzp2CT3vDtqS83j7uaPvP4rNA/6PtPBBaErzbllCwOGqCI5XtXwzP6lpImL8yex/Czvj76TAt2Oz07EIhQ0FHbEK2WxxJZ1OoXOPcHYOf4LjPW+g0qP598I/IkVVnP5Pqp9sWbUi72FXYEo5gSUr3baZlNb4/UcsBg+yY0eTFj8Jk3cIEZpGONAjMZKUk/ns3pZGysmGd8mWnOOI0pFjdOAnMZAE5QijxSa6cKpRu1hU+IST3msaGT0moOndCQFCIv3omdSek4cyObw3jeKC8tY+hD+0ItWPIvw4oXZgpWEMgy3bGWHZRIjIv+B3BVAa1YvMAddT2HkYeiEIV1Qi2gXQf1gsB/ekcXRfOlWVzdvfRmpYaJQ/XXtFEdEuEIQgR4Gc0D64V+YTe3IF7c/8gNFy4WvHIlS2lMexvKQfp80hKGjIPWhan06n0KlbKAn9YwgI8qJM06hAkB5xGf5Fx+l05jvCc3aiNmKPtmKLG9/ndWF5bjxFFg/kms2u4eFpIL5PJD0So3D3MFAoBIXB3TnddTKhKZuIObYSv/xjTUtUUUBV8Rw4En1wWOtkXPrDUoQQsnY4h7N3nhVCUHlwD8Vrl1J5YNcFA5tK71DSu11NVpexaDojoNSZL6lpAlVVKMwvZ/fWNI7sz8IiN2tsdSoaGioRZHOF+I3+7MNQa7NGARRHJJDa51ryOg6xdQ2rdTeB0zQNVVXJTCng0O4UMlJkcOoKKhqaUOihHeZy80Y6ayfrNG81VU9Bt8vJHHAD5WFdQLPWKUMhBAjQhODEwUwO7kmjKF8Gpy2h6hTax4XSrU80vgFeCE3U7Y0UAhComoX2KT8Qe3IV3uWZddIqtrrzY1lPVpf0oVjzREEgZCDT6jw8DXTrbWsEu7kbEEKg1J7vLzRQVNyqCul0Zg0x6evrDU5TKv1YkRPPjwVxWIVaHcbIMmxtQSFe9OwXTefuoaAo9Y5GK5oVoerwzT9GzJHlhKRtaTg4VRQQAtXLB++RV+I15Ap0Pn5Oyauz22vOlJycjDk7E+935zk97dI7/oEhNPyiPO62JAOaWlrzAjFnpFL84wpKf10HVkv1zbm6ERwaT3r8JPJjkhpsBNdmLzqTycr+nekk70qnrKTlm0BK52dvHHlRzkixleFsw1utIifuclITr6csONZR4V+IPbApKSzn0J5UTh7OwiqD01ZnD07DtWxGmTfQz7oXPLzI6TOZrP7XYvEMcDS8LsRehhkpBRzYlUr66QuP/khnuXsaiYuPoHPPSAzV0zHrNILroWhWhKISlrOTuBPLCc7bR5o5kNUlfVhf1h0rSnUQIxvBrS0oxJsefaOI7R4K1N8IruOc4DQmfQMdU77HszyL3SVRLMvpwZ7SSMd1KrUuRYF2nYLolRRNRLS/o067oOo60lhRQMzRlUSeXIfBXGZ7r7rzVh/ZDp/Rk/BMHIxiMDg135dCQOPz/nynp13y5wdlQFMPGdDU4ooLxFpWQumG7yn+YRmVJtg/5gnKAzvW2xPcWJomyEwrZtVX+zCZrE7OsdQQBY2wKH9GjO2C6uHV6EZwbfbL8NDuVPZsPoG8Kl3DHpz26RtOwqBYW9kpdUdFG0PTBIoCPy5PJv20HHFrjIQBHejWJxqF5s8NV4QVq1DZtGI7qekVshHsQjq9ytipPYmMCWh8I7geirBSWFjFuq+2U1AiZBm6UGCwF+Om9sTHz90x+6PJzglOO+37lHZHV+HeKwmfy6/GGNu9UR0UzSEDmovvuNuSfIamDei8fPAbPw3fMZM4tnkv5VQ/KNnMYAZAVRUyUoswm2Uw40oClbCYIBQ3T9sLzXxo2V7hp53KlcGMC9mnIcV0iwZdy6pDVVXQrJoMZpqgQ5ewZjeC7YSiw1RpIjW9AkA2hF3I09tIZEwAQIvKUSg6cjJLKCixVX6yDF0nPNoPb1/bginNXuxEsY2EajojmZ3HkjB1JD4xHZyVxUuWotim0rZGulJdstZoQ4pejzEu3rlpyl96m5ADnZc4edm0DXneJel3xertiy5IriYouZ4coZEkSZIkSZIkJ5PLLLuOHKGRJEmSJEmSpD+AvLw8Zs2axaBBg0hMTOSuu+7i+PHjjvdnz55N165da/wbNWqU431N03jttdcYNmwYffr04c477yQlJaUtDqUGOUIjSZIkSZIkSU6loLTwGcGG0m2JmTNnomka77zzDl5eXrz66qvcfvvtrF27Fg8PDw4fPszdd9/NzTff7PiOTnf2Ge+FCxfy6aefMmfOHMLDw5k7dy533HEHy5cvx2g0tihvLSFHaCRJkiRJkiTpd66oqIioqCieffZZevXqRWxsLPfccw/Z2dkcPXoUIQTHjh2jZ8+ehISEOP4FBgYCYDKZeP/997nvvvsYOXIk3bp1Y/78+WRmZrJ27do2PTYZ0EiSJEmSJEmSMym2Z2ic/a8lAzR+fn7MmzePLl26AJCfn8+HH35IeHg4cXFxnDlzhvLycjp16lTv9w8dOkRZWRmDBw92vObr60t8fDzbtm1rfsacQE45a2NaSSEQ5rT05GpbbUQ+93dpk5dN25DnXZJ+XyrKERb3ts7FRaO1FgXIyMjggQceaPD9devWXTCNf/3rX3zxxRcYjUbefPNNPD09OXLkCAAff/wx69evR1VVhg8fzoMPPoiPjw+ZmZkARERE1EgrNDTU8V5bkSM0bUAIgen4AQo+mAefzUO1VNk2ZGxBMKJpAv9AT7mHiYupaBQXlKMoCorWsj2ANE3DL9DbSTmTGktFoyC3FKDFZSgAb195M2+swnzbruJCa0HFJQQGvYqHp20XckVGSS5TVWGhssKMEKJlnWlCw9fPA1W1bVYsuU5RQQVC2NoQLVJdd3od2UrKfX8i9+tPsRQXOSGHUmu57bbb+Prrr5kwYQIzZ85k//79HDlyBFVVCQ0N5a233uKxxx5j48aN3HPPPWiaRkWFbb+v2s/KuLm5UVVV1RaH4SBHaFxImE1U7t5M2fpVWLPTQFXx1DSGfn8/6e2Gk9JpPFUegU3abd6+s29GShGH9rZtdPxHYt/JOl5/ivEpX9BhqYmUbpNIjRuPpjNgG2tuXM+M0GyNgZNHssjJKGzVfEt2AgWBHo1hbslcsfUDPFKiON1tCrlRA1CEhmjkRrdCCBRFobLCzKE9aZhNllbO++/HhlX7CI8OoGvvKMJjApu0U7kiNISi4m4upkvGWiZ12cC2vFCW5iRwpjIAVdHQhOyza02mKguf/3czcd1DSegfg1+AZ9PKULMiVB3eBSeJP7WEcSG7+LmsB9+VJ1KqeaAgHJvfSq0j7XQBn769mfg+kfRIjMLoZqv3Gr2nnWYFRcH/+K+E7/wSr4wDaED2ovfJ+fwj/EaNJWjCNNz+oBttts6iALYRksaMwpxPXFwcAM899xx79uzhk08+4bnnnuPGG28kIMC2YW6XLl0ICQnhuuuuIzk5GXd3W4edyWRy/DdAVVUVHh4eLcpPS8mAxgWsJYVUbFpH+W/fIyrKzjZ0NVtPlMFSTvsT3xFzci254X05HXsVxQFxjsq+Plp1I/jwviz2bk8jP7fcVYfzB2a7teqxMsywlzHGHUTo8m1vlUK37W8Tu+cT0uLGcrr7VKo8gxsMTu2N4KoKM4f3pnLsQAZVFWbXHs4fkIKGQMVPKWO8xw5GuO3FW620vZmdT2B2MuXe4ZzpOom02HHnDU41TUNVVYryy9i/M5VTR7Jb3sv5B5SZWkBmagE+/h50SYiiY7dwR4O4vkaVIqwIRYd/2Rm6pa0mOn8HqrD1Dl8eUMJI/+McKAtjWU5PtpXEoCLkzvOtyGrROJycyeHkTKLaB9CzXzTRHQId10e9qhvBwalbaHdoKb55h21hiwpTfbYwwXs7myu6sLKsHymWEEcHktQ6ystMbP/1FLu2nCGueyi9k2LwDzxPcCo0QEE1VxCydzmhe5bgVpJd6zMCYTFT+MN3FK5diVfvfgRNugavPv1brZEvXVh+fj6bNm1i3Lhx6PW2EEBVVeLi4sjOzkZVVUcwY9e5c2cAMjMzHVPNsrOzadeuneMz2dnZdO3a1UVHUT8Z0LQiS14WZT8soXL3pppTyhoYmleFRmjGdkIztlPs15EzncaRFTnQ9nyGonM0givKTezdkc7+XRlUykZwqzu3ETzWuI0Rxj14KfUPrRrMZXQ4+C3tDi0lJ3oQp+KnUxTS3RGcntsIPrg7lTNHZSPYFewNog76bK5030p/41H0Sv1TWzxLM+m24x1i935Ceqcr6gSnmiZQFEg7lc+BXalkp8tpFc5QUljBjg3HSN56ik7dI+jaKwp3T6Oj3lOEFYFCVN5OuqavIbj0eL3pKAr08M6ih3cWmVXerMqL5/u8rpiErnoymuzxby1ppwtIO12AX4AHPRKj6NIzwtYgVuxTARV0lkqijn1H1JFVeJTn1JuOQbEyzPMgQz0OcsgUxeqyvuyoipXBaSurHZz26h9FTMegs4GNZgVVh7E4i/AdXxJ0cA06c+X5E62eilaWvIuyPTswREQSPHUG/mOuavwo0CXsYttYMzc3l4ceeoh3332XYcOGAWA2mzlw4ACjRo3ikUceITs7mw8//NDxneTkZMA2ohMTE4O3tzdbtmxxBDTFxcUcOHCgxjLPbUER8inyGuwFl5CQ0OK0ij5/szqYaf4prnLzJ7XDaI7EXElxiYndW1M5digHzSqLzRXcqSJczedKt6301R9psBF8PkWBnTnS9Rpy219GRkoBh3ankpMhG8Gu4EElFvQkGo8x3n07cYaMJqchFJWcqIHs6Xoz5oAojh3I5NCeNEqLL3Ajl1pEURWiOwYzqH8Qbj5exGb9QlzGOrxM+U1Oq9xqYF1+ZxZl9sMkdMigxjWM7nq6JUQwsF8gRmsl7Q4vJfzkT+gtTb92si1+rC3vzeqyvtWvyDJ0Bb8ADxL6RtKzRxCeWYcJ3/klfie3NP9ZNUUBIYhb+BHGiKgW5c2Z7TVnS05OxpKbRfCXbzo97dxr/4Y+OKzZx33nnXdy5swZnn32Wfz8/Hj77bfZsGEDS5Ys4eDBg9xzzz3ce++9TJo0iZMnT/LMM8/Qp08f5s2bB8D8+fP5/PPPef7554mKimLu3LmkpqayYsUKDAaDMw+1SeQITSsS1pY9YAzgVlVI7OGvmbPcSL7Fywm5kpriZZ+FeCimFqXhl3+Udr++ycI18mFXVwvXFfK0/8ctSkMRGqGpm1COVbC4bIyc0+8iQhOkHM9hQPEPTArfhV5pfieOp87MxJAD7C8LZ2txuwt/QXIKU6WFvdtSmHziJboZ01uUVqi+iJt91/N9WW8ssuniMkUFFWxad4Rbf3nOOQlWd/A6o310sVOU1tlYs6UjWy+//DLz5s3jwQcfpKSkhP79+7No0SIiIyOJjIzklVde4Z133uG///0vPj4+TJw4scaKavfddx8Wi4XZs2dTWVlJUlIS7733XpsGMyADGkmSJEmSJEn6Q/Dx8eGpp57iqaeeqvf9K6+8kiuvvLLB7+t0OmbNmsWsWbNaKYfNIwMaSZIkSZIkSXK2P8BzQhcLGdBIkiRJkiRJkpNdbIsC/J7J5UIkSZIkSZIkSbpkyREaSZIkSZIkSXIyueeO68gzfYlQdapcpbINmIQOZ20TozfIy60tVAlnrbyioNPLMnQ1AVgU55Sh3PKpbQhVj6bUv0l0k9NySipSU2l6N3nupYuaHKFpRYq+5TfhQo8oDkWMZejAEVRVmjm6L5XThzMxm37/Sx5eDB4q/TuBSgnj3LYy1JCMu9K0jUwFCkXt+pLd61ruikkgK72YXVtTOXkktyXbE0mNlGYN5M78B+iqT+Eqj230NhynqVOarTo3suNG4d7jev7kG8SJw9ns3Z5GTmZJ62RaAkCn19EuLgxzQm8+d/cktmAz8TnfE1SR0uS08syerM7txq6SmFbIqdQQLx83uvaK4lSPuaQKE+2Pr6T9ie9wqypsclonTGGsKkvEig6qN+mUWl94lC99BkSR3GU5bvkphGz7koCD61CtzdzUW1VB01DaeIlfl1Ba6Rka+dOvl9xYsxZnbtRkLSmkfMN3VGxeh6hq/EZiAoV0/wQORl1Jll8P2w7Zig57UWlWjVOHMzm2P40yublfq1MQCMANMyONuxlj3EGwWnze71j1buR1GUVmn2lU+UU6dlgWmkBRFcpKqtizPY0DezIwVcngtLWpaGioBKtFjHffxjD3fXhcIDit8gwio/sEMrtfjdXgYXtRUdA0DVVVyUovZu+2FE4elcGpM3l4u9GxWyTtu0Q4RsQURXHUg2Glh+mRvYaYoj2oF+gzPloezPKceH4r6gggd5l3kZAIX7r1jiamUzBCYNtlHkBoKEIjMmU9HY8tx7fo5HnTsQqF7ZVxrCrrxzFzhOM6llqXqirEdQuhz8BoQsK8HXUeQgMUdJUlBO9aQtDu5RjKCxqZqA40Kx7dehA8dQY+Ay5rcT4v9o01rfnZhC17z+lpZ036C7rA0IvyuNvSRRXQvP3222zcuJGPP65/I7zZs2fz22+/8eOPPzpe0zSNBQsW8OWXX1JSUkJSUhJPPPEEMTHN64lrjQtEmCqp2LGR8vWrseZng2KvGGqyqEZOhAzlYNSVlLqHOW7g9dE0gaJAZko+x5LTyMkodFp+pYapaAgU+uoPM864nThdWo1VGau8gsnuOYHsnlejndMIrs1+2VktGgf2ZpK8I42iAhmctj7beXfDzCj3PYxx30mIrmZwWhLchfQek8ntONT2glr/NegITkurSN6eysG9mZiqLK2a+9+zwFBfOsVHEd4uqGYjuBZ7vehlyqVn9lo6523EoJ29dqxCYUtRe5bm9uRoeYhsBLuIqiq0iwshPjGGgGBvNE00XIaaFaHqCMg9QMejSwnL2IbC2XtimebGz+U9WF3WjwLNGxWBJrulW527h54efSLo1T8KTy+jo46rl2YFBAEHfyR4xzd4Zh+r/3OqCij4DR9F4IRpeMR2cVp+L/6AJofwFe87Pe3MCX9GFxhyUR53W7poAppFixbx7LPP0r9//3oDmh9++IGZM2cSFRVVI6BZsGABn3zyCXPmzCE8PJy5c+eSmprK8uXLMRqNTc5Ha14gQtMwHdlL2frVmI8fcAy9lhkDORIxhiPho7Go7rYPN3LtcnuFU1xQxtG9qZw5nlVfrCQ5mb2R1E7NYrzbFuIjBTl9JlPQaSggGmwE18cenJ45kc+uramknylqvYxLDo7g1HCUcZ47CYprT3rCNEpDujhG1Brj3OD0UHImyTtSKS6UwWljKKpCVIcQYntE4Rvoff4GVG1CAAK9ZqJr3i+0y/iFzVnBLM/pQYHFUzaCXcTNXU9cj0i69YrC3dOIEKLxO5kLKyg63Mtz6Hh0Kfpj2/mxuBs/lSdgQVfd/SDLsLUFBnvSq38U3XqGoagKitKE3eir60rPtH2EbvsC3+ObURAgBKq3D4FXTSFw/CT0AYFOz7cMaC6+425Lbf4MTVZWFk8++SRbtmyhQ4cO9X4mOzubf/3rXwwYMIC0tDTH6yaTiffff5+HH36YkSNHAjB//nyGDRvG2rVrmTBhgguOoPEUVcWtWx/cuvXBkplC2a9ryTxwnFUJzwA0OBpz/jRtlY6Pvychkf6cPprl1DxL9bP3+KZoIfzW/W70V8RVV+xN7wm292LGdAzk6IEcp+ZTapi9DHeZ4wgZPY32sUGgVfcGNCEgtd/49QYd3XtHsHPTaafn9ffqsrEJBIb5OYLCJs03VxRAwaJzZ2/A5bz0gw9Ws8UxCU0GM63PzV3PlFsHoTtn0ZpGN4QBqu95lR7B/Bw0jR82dpYjai7WIS6Qq6/peXZaWVNV15XlEd05NeUZ/A/9RNzOjwieej1+w0ejNqNj+fdE7kPjOm1ea+zfvx+DwcCyZcvo3bt3nfeFEDz22GNMnjyZAQMG1Hjv0KFDlJWVMXjwYMdrvr6+xMfHs23btlbPe0vow2Pwm/4XuGGW7fmYFq4AoygK5WVVclNaFxOoePu4oVm1JjWC66OqCiXymSiX01Dx9aseGXXCEpsV5c18WPYPyMPbdt6b1Aiuh8UKFrMVgS3IkVzD4KZHb9BV9+q34LwrCuVltutGBjOu5e3jhhCiecHMuarvf5WxvYh88Q0Cxlz5hw9mwBbQOPufVL82H6EZNWoUo0aNavD9Dz/8kJycHN566y3efvvtGu9lZmYCEBERUeP10NBQx3vNIYSgvLy82d9vCrPi7MpbQS5s6XryjEuSJEl/eEY3KisrW9xJ0RhNmt4o/e61eUBzPocOHWLBggUsWrSo3udhKioqAOq85+bmRlFR859DMJvNHDx4sNnfb4qCSh/A1yV/S5IkSZIkqTWdOnXKZX+rOc9Ku4yCU0b9601XquOiDWiqqqp4+OGH+dvf/ka3bt3q/Yy7u226gslkcvy3/bseHh7N/tsGg4G4uLhmf78pTmSY2Zvrkj8lSZIkSZLUqjp06NCiNlhjHTvWwMpq0h/SRRvQ7Nmzh6NHj7JgwQLeeOMNwDZyYrFYSExM5L///a9jqll2djbt2rVzfDc7O5uuXbs2+28rioKnp2fLDqCRjEb5zIQkSX9QsqdRkn53PDw8XNKGuhSmm10Kefy9uGgDml69erF27doar3388cesXbuWjz/+mLCwMFRVxdvbmy1btjgCmuLiYg4cOMDNN9/cFtmWJEmSJEmSJMmFLtqAxt3dnfbt29d4zc/PD71eX+P1m2++mZdeeonAwECioqKYO3cu4eHhjB071tVZliRJkiRJkiTbmout8AyNHPOp30Ub0DTWfffdh8ViYfbs2VRWVpKUlMR7772HwWBo66xdkFZRTsWubcBwp6V5keyT+ocjh5UvbfK6aSPytEvS74palI/pdDGe3eWmj5JrXVQBzZw5c877/r333su9995b4zWdTsesWbOYNWtWa2bNqcw5WRSuXU7RulXohZ7gQd7khvdF0ayIZuxlYm+MhUT6Y3Q3YKqU+2C4goJAAGlHM+jd1RMCgpq0w/y57Dukx3YNISu9BE2TLT1XsG/id3r3cYKGd0YYPQABzVhOXdM0dDqVjl2COXlErvTRGCcOpNG1T3t0etv5bk7HgCKsGN0MdOngzrFTFYCQe5m4SHlJFaeOZtM+LgQhzm4S3GSalbBwbyL9LKQX6eXmmi6UcqqQnKxSQsN9mr+5ptBAUdFVFhO24xvyPvuB0tiu+F85Da9+g1F0Lduj7dLVWvvGyA7U+ihCdk3WkJycDEBCgnN7F4QQVB45QMHqbynbvsm2y7V9V3KgxDeGk50nkdJhDJqqBxQutEumfQ32irIqjiancupwJhaz1an5luqy32xD1EKu9NjGMLf9GBUzRVGJZCRMoSi6b6MDG/sNJDOtiN1bUzl5NA95RbY+exnGG89wlddOerudROiNZHccQWr8FCp8o5pQhrYCO34om73bU8nNKm3t7P+u6PQ6YuJCie0Rjae3e6P3llCEhoJGXNFWehX8RKApnTyTO6uyOrMyszNlVkP1rlzy5t/avHzc6JIQReceEegNtmvmgmVY3Qg2VBYRfXApUUdW4VZZyClrON+b+7PF0gOBbfNiqfWFRfrQZ0AUnbqEAI0MTqvrSI/804Tv+YagY7+gahbbe4oKQkMXEIT/+Cn4DB+LzsvbqXlurfaaMyQnJ6MV5hL902dOTzv18htQ/YMvyuNuSzKgqcXZF4iwmCnZspHClV9TdfqEbU3ycwKZ2kxGH053Gs+JLlMwufs7Kv1zaZpAVRXyMos4mpxK+pk8OXXDBRyNYMNprnTfRoLhJPXV+RX+0WT0mEhOlzGIBoJTWyNYcPRADnu3p5EjG8EuoaChIhjqcYDxXrtoZ8ir8xkBFET0Ia37JAoi6x85tVebpior+3elsX9XOuVlJlccwu9aaHQgcT2iCAr3r7+3uLo+dLOWklDwE90LN+JhrXvtVGk6fs5tz7fp3Uir9EVVNDQhG8atTW9Q6dQ1nO6J0Xj7ejhGns9lv568Ck7Sfv/XhJ38BVWrO6ugUPPiR3M/fjT3oxw3GZy6iLevGwl9I+mZGIHB2EBwqllBUfE/vZXwvUvwyUg+f8koCoregM+IsfiNnYQxPMopeZUBzcV33G1JBjS1OPMCKd3+G9nvvo61pMjWoG3CqdYUHRnRQznWbRrFAXGgaYjqSU4px3M4vi+NwjzZCG5tiqOPUDDUbR/j3HcSrW/cdCKzmw/ZXceR2XMSZs8AhKaBomCqspC8M519uzIoL5WN4NamoCFQ8VHLGee5i9GeyfjqKhr13XLfKNK6TiAzbjRC1aMJUFWVwvxy9mxN4ejBbKyWhjsopObxCfCkU/coojuFoqgKKhpC0RFQlU7v/O+JLdmJTlgumI4QsKc4jG8zurGzMKK6BpWNYleIbB9IfJ9owqJtdZ9SPZUzOGUz7Q58g3/WBRrB1UxCz2ZLPGvMA8nQgrF1OcgybG0Gg0rXnmH0GRiNn7+HrSNWAdVqJuTgGsL2LcO9OLNpiVZ36HomDiRs5qOoRrcW5fFSCGhifvnc6WmnjJghA5p6yICmFmdeIBmvz6F0y4YmBTK1CaAgqBtfxTxAYanGyYMZVFbIRrCrDDQeJFqXy+Xue/BVG9cIrk1TdJxsfwWboq8j5WQBRw7IRrCrBOsK6WTIpq/bCQZ7HEavNO+8m43ebGh3Kyd9e3N4XxZppwucnFOpPkZ3A1f319Eh2Er3ok2EVxxrdlM2tcKHpw4NJ6vKG9kgdh3/QC+u61NCoFZA9OHleJZkNCsdIeCgtT3zKmfIaWgu1rGTHzcnFuCdc5Tgw9+jN5W3OM2YOW9hjIxpURoyoLn4jrstXVSLAkh1KUBg3iEOndpLgfBp6+z84fzZey0eSssCSFVY8T6+mbU7ZOXjaj5qJfcHrGxxOgZTKdY9G/mp2Ch7+F3IVGlGf2I3w8370Cst63uL9iihg2dRdUAjuUphfhmBmxbRRZfaonQUBeL1p9GhYZEBjUudOZFPXMG8ts7GJUlpxgIzUvPIMy1JkiRJkiRJ0iVLjtBIkiRJkiRJkrO1yrLNUn3kCI0kSZIkSZIkSZcsOUIjSZIkSZIkSU6loDRno9JGpCvVJUdoJEmSJEmSJEm6ZMmA5lKgKPTurNIxTK6w7Wp7TB1JswS2OB3F3Z1Bvd3w85E9K65kFQqbK7pQorm3OC2vAE8G9FAxyHFtl/IPMKALCauzOW1TCQHFZqOTciU1lqKAX4cI9FHRLU7LLHRosnfa5YwG0HftjuLn39ZZubQooKiK0//JS6B+8tbcigwhYba7qKqz7azbRIqbG+69euHRrx8Pe7sDGvtOwbe/qWw7DJqQv+rWtrB0EgA9DKe40n0bCYZTTWtXBYagJg0hsk8S9+sNWKyCX3dWsfqXck6nN/03ITXNGUsorxdejR4rwz33M85zF9GG/Caloca0x5A4gDEd4xgDlJQLVv1m5bvNFgrl3ratQkHQP05j2mALfTrFADEIUxXa6ROIlFNgbvxS6iZNZX1ue77J6EZKhV+r5Vmqyc0AlycqTBmmEBk0DgBLVhYVmzdRdfCAbaPGRirSPPnJ3Jd15v5o6Fory1ItQX4K4wfruXKwJx7uMxBCYDl6CPO2TVhTTjcvUUVBMbqhev9BtqGQyza7jNxYsxZnbtQkhKDy0D4KVn9L2Y7Njl1yL0QXEIBHv3649+wJOlvlrVS3oq0a6FTILoRvf1X4YZdChUkGNq1NRUNDJUzN50qP7Qxx24+b0vBO5UqHONSBw1Hjutl2yT5nHq3VKtDpFA6dMLHipwp2HjC1ZO9VqZHsZdjDeJqrvXaQ4Ha64QVodDp0XXtg6DcQNTC4bhlqAgSs36OxfKOFk+myAJ3BzSAY09vKtMEWIgOFo74DQAiE/f+nnUE7fQLKShpMq8DkzqqsOFZkdqbU6oaCkHsIuUCwH1w1SOGqgQoebgCKoxNICIGiKGjl5VRs20rlzh2IioY3LD5jDWWtOYnNlh4IFLmhpovERatMGmbgsl46BKA7p6K014XW7ExMW37FcnD/hTtsFRWEhs4vAL/xU/AdMQ6dEwKai35jzaI8Omz+1ulpnxo0FdUv6KI87rYkA5paWusCMWdnULhmOUU/rkaYTdTXgjW0b49H//64dexYpwFVm/3rVWZYvU1hxRaFrEJ5s25ttkYReCgmxrjvYrTbLgJ11d30ej1Kj0R0g0agBIfagtfzlKGmCVRVIbfAysqfK/h5ayWVVfJybG2O4FRXyFVeOxjmeeBscOrphaFXX/S9+4GbbZqacp4hOXtweuCUxtL1FrYf1NBkETZZsK/GxCQrVydZ8KyeFXa+kVB7/ajl5SBOHUPkZjveO1Hmz9KMrvyS1x4hQJONYJfoEg2ThygMSVDqNIJrE0LYbmKaRlVyMhXbt2LNyQFsMw/2WOP4zjyQo9YYx/UqtS5VhUE9dUwebqBzjM5RtzVECA1FUdHKyzBv34x513ZERXmtRG2zU9w6dcH/yml49RuMonfexKBLIaDpuHWJ09M+OWCKDGjqIQOaWlr7ArGWl1O8fi2Fq77FkpcDqop7fDweAwagDwy8YCBTb5qa7ea/fi98sFYlr0QGNq6gYhttG+Z3nOsuh4CkRHB3t/UBN2FemhAgEJhMsOSHMlb9UoG54cEfyUnODU6ntzvCVSO8cO/WzfZeE69Be+yaUyB4f4WZLfs1ZMV6YZ3CNK4bamZYvFbdCG7a9+09/qK8lC2/5fHl3iAOlISgUzSsQjaCXWFwD7hmhErnaKXmiFoj2e95ZcdPsnJVDqsz48gTfjKQcRGjHq68zMDEYXoCfdUL9cPVS2gaCIF5325MmzciigpBCLwGDMV//BTcY7u1St5lQHPxHXdbks/QuJjO05OA8VPwHzuRsp1bKfxtHd7DLsMeVzZniT/7DSS3WCGv4RkYkpPZb7Zhg3vhP9TL9rBeMygKKCi4u8GxMxYs8tEal7BPP6oQbvSZ2Be3SLXZZWi/bAN8YOuBxj8b8Ef3z+tMhPmLJjeg7OyjZ2WKF0//GoKq2OpRGcy4RrAfPH6TzjGTuqnBDJy95+0qa8cnGe2guitABjOuMTxRz21XGx2zPppzLdrL0JCQiBoYjJqbT/CVU9EHBjsxp5eoVlm2WaqPDGjaiKLq8O4/GNp3wJJ68LzTWhpL02zD/FbZnnIpnb55vVr1sViEfJ6mDRgMCqozdnRWkFPOmsCob14juDaLZis7uVCKaxmqn893St2nKdiCGVmGrqTXgSYEqhPaIIqqYo1sh/+wK9F7ejohd5LUeDKgkSRJkiRJkpxABqR2iqI4pbO6vnSluuRYmCRJkiRJkiRJlyw5QiNJkiRJkiRJziafoXEZGdBIkiRJkiRJkpM1d6EZqelk6ChJkiRJkiRJ0iVLjtBIkiRJkiRJkrMpctzAVeSZbiNCCMzF+VhyU5yWpqKAVa4Z63Ka1vx9NGrT6ZSm7MkpOYnFaivHFhNN2lP1D89ixSnLzNuXflYUWf+5kr3sNCeWoeRaVg2nLNkMgBC4YcGam4JmrnJOmpLUSLIKcTGhWanKS6f40DZKTyYjqsoRitKiXcXtN5WIIEGwr1OyKTWCfWpsZqaJ0mIzCEFzNpERwtaYNpkF3ToaMMhxU5dRELgZBMmHq7Carc0uQ3uDrrQCBvdQZVDTSC98ZWTbURUhWhbY+LhrzJ5eRlyYbVdanSoDG1fILoR5izVSsqs3NG1OGVZfbwO7aPxpjJkAL1si8tED11i/y8Jna00Ul1VvaNrcMhQCVTNjsJSj5aZQkryR8lP7sZb/wXf7VhXn/5PqpQght/E7V3JyMgAJCQlOTVczVVGVl0Zlbjpo9WwFby8GoTVqFXd7u8tihbU7FZZvVkjLkz90V1AAowHGDtRz5WUGwoNs/QIC0FQ9FlXfqGFm28iOQmGxlVXrK/hxcyVl5fJybG1q9eaXwb6CqZcJrugr8HS3vSdQ0HR6NNVge+ECkYnVCjodHE/TWPKLhU37NLmxbTNEBGhMGmjhyr5WDHrbNXb+U1+9AaNmRbFaQFgd9ebBND3fbHVnw2EjCnKzTVfp0RGmDFEZ0N12zi844lJ9z1OsZnSWKhRhu3AsVvj1kJ6vNxk4mqFDpwqsmizD1qbXwdDeeiaP0NM+XIdVE+gu1HgWAhDorCZbGdbpmrVtlqrz9scttD16v2Cn7qHSWu01Z0hOTkYU59Mp+Tunp30iYTyKb+BFedxtSQY0tTj7ArGUF1OZk4q5MKfxXxICxNlW0bmXv31H+vwSWLpJYc0OhdIKWdm3Nkcj2F9h0jADo/rr8XSv/7wLQFNUrKoBoeps5XlOJW61CnQ6hRMpZpb/VMG2vVWyEewCOtXWgxzfTjB1iMaArg1Pc7EHp5rOUG9watUECrBpn8byjRYOn5HVqDN4ugnGJlqZNshMiN/Z+s7BfrvSrCiaGeU8t6/sIpVlO91ZsdOdChPIDf9cIzwQJgxWGJekYDCAQq1ptNVlplqqUC2mehrBZx1MVfl2i4GNB/UyOHWh+I4qk4YZSIrXoWm2qdBn2ToTFM2KzlqFajU1+spSjO64hbbDGBSJomv5VISLPqApKSA2eY3T0z6eMA7FJ6DZx52Xl8ecOXPYsGEDVVVVJCUl8eijjxIbGwvAwYMHee6559i3bx+BgYHcfvvt3HrrrY7va5rGggUL+PLLLykpKSEpKYknnniCmJgYpxxfc8mAphZnXiAVmSepzDqDvZeiyap7PxDCUWEcSYNvNipsOqjIXisX6t5BZfJwA/266y7ca3UODQWrzoBV0aEoCpom2LK3ilW/VHDstKUVcyzZ2G6+qioYkSCYPFgQF9m0bwtFh6arDk6BiirB6k1WVm+ykFvUKpn+w1MVwaCuGtMvMxMfYx+9FqBZUKzmJoUmlSb4fp8bX23xILNQ1yr5lerydIMx/RQmD1UI8a8uMc1q68lvYhnmFCks325g5XYD5SZ533OVsECFqy4zcMVAPe5G23lXrGb01ioUzdL8LgJVh0/PIah6Y4vyJwOa5h33jBkz0DSN2bNn4+XlxauvvsquXbtYu3YtlZWVXHnllYwaNYq//OUv7N69m6effponn3yS6dOnA7BgwQI++eQT5syZQ3h4OHPnziU1NZXly5djNLasTFtCztZvRdaqiur/ambMqCjYg6HXl8LJTDiSKitzV/r7tUY6RKh0impeQ0hFoFpN5OULPl9nZf8xM3mFcjjGVTqEwdTLNBLjBIE+Tf++AijCimqx8ss+lU2HdWw/qFFpcnpWpXNoQuG3Qzp+O6TjnrHlTOhnQsXarAaUuxEm9q3i6sQqHvrIl4PpBqfnV6qrvAqW/SZYsUmw4G9VtA/RULTmlWGIn+DPo03cOMzENS96YZUjNS6RlS/4YIWJL9dV8en/Kba6UDjh/qVZERYztDCguSRcZM+8FBUVERUVxV//+le6dOkCwD333MPkyZM5evQomzZtwmAw8Mwzz6DX64mNjeX06dO88847TJ8+HZPJxPvvv8/DDz/MyJEjAZg/fz7Dhg1j7dq1TJgwoc2OTS4KcClQFLYfUWQw0wYG9dQ3O5g5l9AE67dXyWDGxfQ6GJ3YvGCmttJywa97rDKYcbH8EhDW5jWEz6Uq4O8lJyS4miagrMyK2sxg5lzuRrnxeluoqAKdZnZOMPMHo6iq0/+1hJ+fH/PmzXMEM/n5+Xz44YeEh4cTFxfH9u3bGTBgAHr92fGOQYMGcerUKXJzczl06BBlZWUMHjzY8b6vry/x8fFs27atRXlrKTlCI0mSJEmSJEmXiIyMDB544IEG31+3bt0F0/jXv/7FF198gdFo5M0338TT05PMzExHsGMXGhrq+JuZmZkARERE1PmM/b22Ivs6JEmSJEmSJMnZFMX5/5zktttu4+uvv2bChAnMnDmT/fv3U1lZWec5GDc3NwCqqqqoqLA9SlHfZ6qq2nbvITlCI0mSJEmSJEmXiIiIiEaNwpxPXFwcAM899xx79uzhk08+wd3dHZOp5rxqe6Di6emJu7ttjwOTyeT4b/tnPDw8WpSflpIjNJIkSZIkSZLkTAq2h76c/a8FgzT5+fmsXLkSi+XsKquqqhIXF0d2djbh4eFkZ2fX+I79f4eFhTmmmtX3mbCwsOZnzAlkQCNJkiRJkiRJv3O5ubk89NBDbNq0yfGa2WzmwIEDxMbGkpSUxI4dO7Baz24Av3nzZjp27EhQUBDdunXD29ubLVu2ON4vLi7mwIEDJCUlufRYapMBzSVAoHDzOB3XjFTx8Wzr3PyxvLfMxNL1ZsoqWrY6kpsR7r3OyPBEHXq5FYbLlFTAy98obNwH59TPTSaAmEgDf5vuRvcOstp0FW83jZ5RJnRoZzfVbKbMQpXTufLic7WIYIWgMC/MRi+0ejapbSwhYH+KikUutOVigt7tzajmShSrucXX4R9LKzw/49jOo3m6dOnC8OHDefbZZ9m2bRtHjhzhscceo7i4mNtvv53p06dTWlrKP//5T44dO8Y333zDhx9+yF//+lfA9uzMzTffzEsvvcS6des4dOgQDz74IOHh4YwdO9ZJ56155MaatThzoyZTYTblqUcR1qZvoGgrFAVN1YGiomm2V6wa/LRTY9mvVlKzz5eC5AxK9Z6oBj2MHqDn6iEGIoObd1PWNIGqKhSVClZsNLN2i5mScufmV6pLVWxLxwb6CKYMFoztJ/Bu5FRfgYJVZ0TTGRHY0tGpCifTrSxdb+a3vVYsLQiUpPpFB1qY0reC8b0q0Ouq9wNSquvFJjwcKwTsT9XzzVZ3fjtiBAWE3MPEJRJiVSYNN9Cvm95W91WfdtVShcFchqo17r5otsKGA3q+2WTgeJYOBYFo8QLQ0oUYdILLe5i4dlAl7YI1WxxTfdqFzoCmM0CTA1TbDVXnE4hXbG8UtWUdDBf9xpqlhcQd+cnpaR/rcjmKt3+zj7ukpIR58+bxww8/UFJSQv/+/Xnsscfo3LkzAHv37uW5557jwIEDhISE8Oc//5mbb77Z8X2r1crLL7/MN998Q2VlJUlJSTzxxBNER0c75fiaSwY0tTj7AhGaFVNBNpU5KWiOjTbP83lAKCpC0TV4w7ZaBTqdwp5jGks3WNl1VMhOExdQVdA06NdNx6RhBnrGqijNWHFECBBCYNXg550WVm40cyZLFqArKIrAoIMr+gomDRJEBdf9jO0a1GHVGRGq3v7FGp/RNNvvobjsbHBaXNb6+f99EyS2NzM9qZwBnUxYNdA10F66UGBjtsL6g0a+2uLBiWw9OlVg1WQjuLUZ9TAsUc/k4QaiQ1WsmkBXe2NBIUBRbDvOm8vQWarqDU+KymHVDgNLtxooKldtAa2sJltdoJfGhH5VTOpXhbe7QFB3b0h7MQhVh6YzQmMCE0XBEBiBW2g7dB7eTsnrpRDQdD72i9PTPho3okUBze+VDGhqaa0LRAiBpbSQypxULCX5dd/H1ogS9h6PRjSU7Tf8jDzB0g1WftqpUWV2araletgDm+hQhcnDDQzro8doaF5jyR6c7j1mZdl6M7uOWOVN2wXsZdi/s2DKZRq9OwEKaKoBq+MGfU6X5HlomkCrDk5X/GrmTKYswKYw6gWj4iu5NqmcmCDreQOZcznO8jmBTWG5wqpd7ny7zZ3iCtkIdpUAH4Xxg/VceZkBL3fbyOaFN0ivvr40K3pzOXpzBQqC09kqS7Ya+GGvHqsmR9RcJS7MwpSkSkb1tDUiGnsNKtg6YTWdwdYBVKvtougNGEPaYQyOQjUY602nuS6JgOb4BqenfTR2mAxo6iEDmlpccYFYq8qpykmjKj8DIQSack4l0MwefxAcTRE8/7GFwlKnZldqgL2xlBCr8o+b3PH1av6N196IW/mrif+tNMtpTC5iD2ymjdBxw1gjOn3z5/jbg9N5iyr5da8swMaYlFjObcPK8Harvye4MQS263DB9958t9cDq5CNYFfRqXD3dCMjE/UoCqjNKUAAIcgr0nh9cSV7TyBH1Fwo3N/KrIll9IxpfGdCbY7ApnqKLnoDqoc3bqHtMQSEtXh3+4bIgObiO+62JPehaQM6N088ozvjHt6B4tRjaKWFLUrPFgMp7DmuUSSnvbiMvSugTxddo5/JaIj9JiKfyXAtrfoB4+F9WxbMAOh0CharkMFME1w/sBwfd/sTg82jAEUVCit2yxVTXC0kQGF0f0PLE1IU9p0U7D1h+58ymHGd/p3M9Ii21VnNCWbg3GtXIDQL+naJeAWFNWtK9u9Oc4N8qcnkcj1tSNUb0PkEOjdNee20CU2Oc17a5HXTJmR7R5LanrNuXwpgRofq6SuDGcnl5AiNJEmSJEmSJDmZ0oKlyqWmkWdakiRJkiRJkqRLlhyhkSRJkiRJkiRnUpTWeQ5ATuerlxyhkSRJkiRJkiTpkiVHaCRJkiRJkiTJ2eQzNC4jA5o2Jqyac9NzamqSJEmSJEmNo2LbSFyqJqeHucxFFTq+/fbb3HLLLTVeW7VqFRMnTqRXr16MGTOG//73vzUuFk3TeO211xg2bBh9+vThzjvvJCUlxdVZbzJrVQWl6ScxZZ9ySnpCQIDP2X01JNdQgIISgV7X8i3JrRoE+srKz9VURZBXWH3htLAMhSbwltuhNFpOiYoQLV/23E0vcDdoKIpsSLlSeaXAbBFYnbBufYC37f+30h6MUgPyS1VUxXb/aQn7L0CvU6lMP0ZlYS5CNkgkF7poqo5Fixbxyiuv1Hhtw4YNPPzww1x33XWsXLmSRx55hIULF/LRRx85PrNw4UI+/fRT/v3vf/P555+jaRp33HEHJpPJxUdwYUIITKVFFJ06SMHR3VTmZ7Y4TXsllFUgOJ4mMOhanKTUCKpqq76jAy109spDl5eOzlRuaxA3sVFstdo+f+CElYoq2SBzFV1147dfTBk+ucdxzzmFaq60vdnEMtQ0gcUi+GW3FT9vZ+f09+uRzwN4ZY0P6QW2iqspjSpxzj+Djxf/fVjlhtE6fKsDStkx2vqKy+DuORV885OZsgqBEKJ5wakQ9IkVvHafyui+tg0eZfm5xm9HjMx834ef9huwak0PbOzFral6qjz8MXn4o5kqKUk7Tt6RXZTlpKFZzE7P9yVDVZ3/T6qXItp4bDArK4snn3ySLVu2EB4eTnBwMB9//DEA33zzDWfOnOGBBx5wfH7mzJmYzWbeeecdTCYTgwYN4uGHH+bGG28EoLi4mGHDhvHcc88xYcKEJucnOTkZgISEhJYfXDWhaVQV5VKRm461qsIpaVqtAp1OYe8xjaUbrew8IlrauSw1gqoINKGQ1LGKa5LK6dPOVOPGq6l6zB5+mN19AKV6w8b678yaJtA0+HmnhRW/mjmTKQuw9QkUQK8TXNmtiKkJBcQEmM95F6xu3ph8Q7F4+tlebKBlpWm2e0txmWDlr2bWbjZTVNb6R/D7JOjb3sw1A8rp39GEVWt413KB7YoSiorF3RuL0avGTd5sEWzcK/h2g5XTmba3ZEdx6zPqYXiinsnDDUSFqlg1ga7BFZ6qS1FoqMKCIrQatWRRqeC7rYLlvwmKy22XoLy/tb5AL40J/aqY1K8Kb3eBoOFFuuzFYdW7YzF6oekMDUehioK7fzAegeHo3Z03hN0a7TVnSU5ORpQV0SVtm9PTPhKVhOLld1Eed1tq82do9u/fj8FgYNmyZbzxxhukpaU53ps2bZrjvzVNY/PmzWzbto2ZM2cCcOjQIcrKyhg8eLDjc76+vsTHx7Nt27ZmBTTOpFnMVORlUpmXgdCsLU7P1vkvsGrw006NFb9pnMmStbwrKAgMergyoYLJfcuJDqy/PFXNgltZHsbyfMxuPpg9/BE6va3wFKVGI3jFRjNrt5gplo3gVmcPRAM9rUzvlc9V8UX4uNVt5SqAvqoUfU4pmt6IyScEk0/w2Qc7FcXRUEvJsrLkFwu/7rVgafnl/QensPO0kZ2njcQEWpjSr4JxCRXodbYyUZRzAhmdAbO7N1aDR70NKINe4fK+CiMTFQ6cEizdqLH1oEBRZGDTmkwW+GGbhR+2WegVpzJxmIF+3fSOzjfAEZUo9kCmgac+/bwVrh+lMG24YGOy4NsNglMyOG11+WUqH6334PPf3Lm8h4lrBlbSLlhzdDCcLS0Fi9ETi9ELoTZiWogQVBbkUFmQg8HLF8/gCIze/q13IBcNpZUWBZDDl/Vp84Bm1KhRjBo16ryfSU9P54orrsBisTB06FBuuOEGADIzbVO2IiIianw+NDTU8V5zCCEoLy9v9vftqrLPYC0taHE6AFZNUFoOy3+1snabJhvBLqIogkBPjWn9yxnfqwIf98YFkIoQGCuLMVQWYzV6Umb0R+fuzpksK0t+MfPbXqtsBLuAUadhsqp0Cank2j75DO1Y2mDPf22qxYR7QRpuhRmYvIMo9gzH6K5n+wEryzaYOXhKtqxaQ0q+nte/9+HDDV6M71XBjZdV4GnUsBo8sLh7I/TGRqWjKAo9Oir06KiSlS9Y8ZutE8gJj3tIF7D3mMbeY1VEBpu4eoiBcYP0qAoowlodyDSOQa9weaLCyD6Cg6dhyUaNzQdaNesSYLIorNnjxpo9Rvp0sDB9QCUD4iwIRYfFzQuLwaPZDXVzWTFFZcV4RHdFNTTuWm6IEAJFzk2UqrV5QNMYvr6+fPnll5w+fZpnn32WRx55hFdeeYWKCtv0LaOx5kXh5uZGUVFRs/+e2Wzm4MGDLcozQLDegqeT5gLfN99MVgGyEexin9yVS6C31uhGcG0KoDeVU5pVxb2fBlPa8jhZaoIOgSZemJCCn3vzgw9FaLiV5PDbJjPvbwulrFLeQF2hpFLly61e4OnNjNEKen3zHxAMC1T4ywQd6Xka2w85MZPSeaXnCv671ERsuIXu7ZVm9ysrikJ8B4jvoGPabCsW2ZfgIgq7TxlIPmPgq+eM2EYcnFP/HT9+DItoeVq1238XFYVW2ljT+Un+HlwSAY23tzfx8fHEx8djtVr5xz/+waxZs3B3dwfAZDI5/hugqqoKDw+PZv89g8FAXFxci/NdlXUaa1lhi9MBqDTJYKYteLmJZgcztclgpm20JJiprbzSaUlJjSScOG3D9kyHHKJxNSGc1waTHfJtxMlTp2I7dUI1ul/4g+dx7NgxJ+VG+j24qAOa7du3YzQa6dWrl+O1rl27ApCdne2YapadnU27du0cn8nOznZ8rjkURcHTs+UPrln0OmQMIkmSJEmSdJa7hwd6t+Z3PAOXxnQzubGmy1zUZ/qjjz7i+eefr/Hanj170Ov1dOjQgW7duuHt7c2WLVsc7xcXF3PgwAGSkpJcnV1JkiRJkiRJslEU5/+T6nVRBzS33347e/fuZf78+Zw+fZrVq1czd+5cbr31VgICAjAajdx888289NJLrFu3jkOHDvHggw8SHh7O2LFj2zr7kiRJkiRJkiS1sot6ylnfvn15++23eeWVV/jwww8JDAzkz3/+M3feeafjM/fddx8Wi4XZs2dTWVlJUlIS7733HgaDoQ1zLkmSJEmSJP2hyY0wXeaiCmjmzJlT57Vhw4YxbNiwBr+j0+mYNWsWs2bNas2sSZIkSZIkSZJ0EbqoAprfm+YvUnmWbT0elbn3eZBdIFi63syW/Va5uZiL3PbfINoFWbkmqZwBnaqateKZVWfEPTyA/z3jw+7DFpavr+JYiixAV0gvNjD5vTgu61DK9N4FxAVXNTkNAQijOwP6ePDZwErW7NKzfJuO3GLZ89aaFAX69TAw4jIPzO46hGZGbzU1uBnj+VSZBD/u0thzTK5w5koeRhjdXyU2WkUDR9k1586YVyRYuVlglivtuFRoAEy4TAfCfs+qLr0WP8vxB3kWRD7z4jKKEELW8OdITk4GICEhocVpWaoqKM9KwVSc1+TvCkAoOs6tPOy7zOcXayzfYOaHbRbKKlqcTekC7LvMh/pauSapjLE9K/E0nv+yEYDF6InJMwCr0bN63VLFsWv20TMWlv1iYss+iwxOXUCnCKxCISGinGt6FzCo/YU32BQoaB5eaJ4+oDM4NnGzararcsMBlW83GzicJgMbZ/JwUxg5wI2rR7gTHKBD0wSqqjh2mVc1MwbNhCoufOHkFglWbdJYtVmjoumxrNRMtkawyrgBKkZDdeeeYttw+CzRqCbtkRTB0l81frXdmuXGqC4S30Fh0lAdA7rbwlDdOfup1AhLm9hgVw1GPIMicA8Ma/EqZc5srzlbcnIyoryYLrnJTk/7SHACiqfvRXncbUkGNLW0xgViNVVRmZ9JZX4WQmu4e8leSQhFPe9Sf0LYdsi1WOGHbRZW/momI1cWo2sI3A1wde9yJiWWE+Ffs1ElFAWzuy9VHv62Hc2rA5nazg1OV24w8cMWkwxOXcARnHqbuaZ3PuO7FdUJToWqQ/PwRvPwOe+qMlYNdCocSVP4epOeXw/qsGqyN665QgNVxg9zZ/QgdwzVjeB6T331NaVoFgxWU707zx8+o7HsV41fk22NZtkIdo34DgqTh6r1NoLrcDQ96gY2Vqtg037BtxsFR1NtdaXs+Gl9eh0M7aUyeZhKxwjVUcfVp+YldeHVt/Qe3ngGR2D0CXDacssXf0BTQpe8fU5P+0hQTxRPn4vyuNuSDGhqac0LRGhWKgtzqMhNRzOd7S60TyuzBTJNu9DtPf47DllYvsHM3mOy1ncFVREIAYPjqpieVE58jMDs6YfJw/9sGTaiLM8NTn/cZmbVRhPpObIMW5+tEeWmF1wdX8iUhELCAhU0Tx+EW/UeVI28Fh3BaSks2axn1XY9ZVUysGms7p30XD3Cg349DGjiAo3gGgSggNAwWE1grmLTfsGS9VaOpclGsKvodTCsl8KUYTo6RCjnbQQ3SAhAUFoh+H6bYOmvgoIS2ybrMhhtfb5eMG6AyoQhOvy8zs4GaYzzBzYKbn5BeASFY/Dwcl6Gq8mA5uI77rYkn6FxIUXV4REYjntAGObSQipy0zGVFSOU6mJoRq+FTmf7Tp8uOqwa7DteJW8ALqAJ23nfcsINnY83MX08UBWaXIa2AQAFowpXDDSQmWuVAY1L2HqQKy0K3yYH0L6DF1fEaQ2OqJ2P/cYf4AW3Xm5h0yGdDGga6aHbvRmQ4IbVapvOp2vSabN3HKiUCyMPzasgp0DDHg/JYKb1ebrBGw/pCfRVHOe7Oc8ZoigcTRH83zsaZuvZwRt5L2t9PTspPPknPToV29ROmrYwV81L9v/Zu+/4uooz8f+fOedW9V4suRe5dxsbYwOmGWyKA+mwG9K/m4Rf+m427JIEwrIJy+abst+QQBqBTaPE9GI6uNuy5W7LclHvXbedM78/rq5s2bLV7r2y8fN+vfTC3DKae0dzzvPMzDmj0VqD6SQhMw9veg6G0xXN6l5YFLG5y5mcXvokCc0IUErhSk7HlZxOS00F/oaqYZdpGorj1XIGjzfLVozNN8Mn4AGPLPfNNJXcLGAE2FoxpaA7chrGUojIW8sb5JqagZo4OnwKMgeXyZyhyw91TeG+I0Fw/KQkQUbK4IPgvlTUQyAUhUqJQRmdo3CYRG0ZWMiGlHFTSUxKikp5Fzy5KUDcyJl3hClHdPfLkb4zMqIVQ0n7jRD53keG/MELMeKiOQZgo1Cy94oYATJDI4QQQgghRLSd4wZPIrrkmxZCCCGEEEJcsGSGRgghhBBCiKjq/3bWQy5XnEFmaIQQQgghhBAXLJmhEUIIIYQQItrkBglxI9/0CNK2TejY4aiWKbcsHRnRmlWWbW5HiHzvI0P+4IUYcVFdwNTSTKihPpolCjEgktCMANvXRftbL1Lzg6/Q9ddHsJsbgHCCM1SWrZk2zsAd3btAi34Y2OwpDRIKWOENxYYYoGkNttYsmOaQO9nGVXiH8o37NLZtD7MPhjcVnDveil71PuA27gxg2xprOCMxtk2iVzF9bPh/DWQvp3hpbIUDx8PftzWMP3tt20wqUGQmhjeikTaMnwPHNU1t4X8PZzNabdvoUIiu99+j7Av/wLH/+B6dB/ZGp5IXKgVaqaj/yCU0fVNayxDZqUpKSgCYNWtW1MsONdTS/vZLdL7/GjoQ4NRhYVU4DmP2QozR49G2PaD7uGsNGk0gCK9uCvHC+0FqGqU5Y02h0YBXBbkmuYRrk0vI8vhQU2ZizLsElZ4ZPjMMoA1tW2MYivpmm2ffCvDG1gCdvth/houdgY2NQY6jhTUpO1iRuB9vogvX1Km4pk5HucK7Ww9ks7lIIrP3hOLJ951sPGBgaznjDFRWusG1yzxcc6kHjws0akB71EaOk/axUvSW99BHDlIWzOalzvls8E0FwJYxu7goGqO4+TKDpTMUmvBGzwOhbRu0JrR/D8HirYTqG9jun8Dz7Qs4GCzo6acitkwDlswwWLvCYFKhgWWBafb/Pm1rlKGwOjroePc9OjZsxG7v6C7UBMsioWga2bd+jNRly1FmdK9yiGW8NlwlJSVoXzuT249EvexDSRNQnqTz8nOPJEloThPtDqK1JnBkP+1vPI9v99bw2qRzDYOkZWDMnI8xdRYYBqqPu2REAqi6Jpt17wR5fWuILn9UqivOIXJyzXW0sCZlO8sTD+AxztzaWo0eh5p7CcbYiWdNTi1LY5qKfWUh1r0VYNvekCwXjINIG870nGB1yg7meI6fGTybJs4JE3HPnIWZmnb2NrQBDW/uNnhmk5PDVRJ4DYfbBSsWullzhZfcTBPL1n0GxpEgWO/ejr3tfaivPeM1TVYi67vm8ErnXDq1G0U4URKxlZUKNyw1uH6JgdcFoM6YcdZao5RCd3USKN5GaPdOdFfnGWWVBXN4qX0e7/umds+jSv+KhymjFTddZnDpTOOsyam2bJRpEKyqpu3Nt+gq3nn2KTrDANvGkZFJ9tqPkLFqDY7k5KjUVRKa8+9zjyRJaE4TzQ7iL91H899+Q6jyeE+nHjC3B2PqbIzZC1AJSWhbY2u6g2CLZ94Osm2fJUFwzGkMdE8QvCZlB7P7CoL7kpaBMWcRatqcnuEuO3xm5p0dQZ5/N0BZhSytiK1wB1FoTDQrEvdzfcpORrsaB/RuM38U7hkzcRaODi+pUAYKaPfBs5sdPLfVQVO7BMrRpBTMnepk9eUeZk52YVkaQ2mUYaA7O7C3vY8u3gx9BMGnC2iTDb6pPN+xkEorU0b848TthCvnh0f88zIUtq1RhNvQqq8juH0ToUMHBrROrdlK4LXOObzSMZcO7e5+VPpcrGWlwvVLzHByGvnau1ce+Pbspf3tdwgcKRtcoUqhHE4yb7iRUZ/7EsoxvBmbCyKh6Tga9bIPJY6ThKYPktCcJpodpPF3P6GreOPwLnw1DNT4yZROWEVlk+K5d0OUVUoQHC+TXVUUOhu5YRBB8BncHtqnLqF+3GJ27Ld4eUOA5jbpdvGQbraTbnawKOEIVyXtIcUc2no+IyWVmknLCaTn8fIOB2+WmARCElTFWmGeyRevbGNCroXeuRm9fzfYg79YQ2vYExjN/2u5nhadiATE8aEUzJ+iuGtFDYl2B8HirdiV5UMqK6BNNnQV8auWa5H2ix+3E66cB3fOryJ47Djt776P1TjEc+Epin79RzyjxwyrDElozr/PPZLkts3nO9tGlx7gx69fQqOVNNK1uej8a+46vEZweIX4fbRv3cG/rJsZnUqJAUs3O7g//6/DLsdubWHHW0f5beNYWboUR+XVFpv/XsLopA2YaugDOUrBTPcJJrmq2eafGMUainPRGrYd0Byuf4OprsphleVSFpcn7OU3LVcRktAlbvxBeGWTxY3v/U+US74YBvW6L+KPQbniTDL3LoQQQgghhLhgyTCHEEIIIYQQ0aZk3iBe5JsWQgghhBBCXLBkhkYIIYQQQohok52y40YSGiGEEEIIIaJtABtsx1tzczMPPfQQb775Ju3t7RQVFfGNb3yDhQsXAnDnnXfy/vvv93rP4sWLeeyxxwDw+/088MADvPTSS/h8PlauXMl3v/tdMjIy4v5ZTnX+fdOiT0npSbi9zpGuxkXneCCDNssz7HK0MsgdlYxpymhNPGkNh/y5hPTwD3Xa5SE9W+40GG/K46U9bWxU7onk1zKGNxICidl0erKGXY7WF8e9sc5HHblFWK6Eka6GiIKvf/3r7Nixg4ceeognn3ySadOm8ZnPfIYjR8KbgB44cIDvfe97vPvuuz0/P/vZz3reH3nuZz/7Gb///e85cuQId91110h9nB5ydI8hIzE5fARWakh70djKpDJ3MYfGreHS1InYts2xg7Uc2FVBc0NHDGosTndPzYdxYHF50j6uT95JoatpUO8POROpnnQV5UVr+HBCGr6uILu2VbJ7eyWdHcO8HbTo17FgNv9W/WFSjE6uT9k5pL1oOhLzOTrxBuwxV3Gjw0lLYye7t5+gbH8tliV7QsVKemYCM+YXkjn9MrabJklNZYze+zQ5x9/DsEMDLieyB82LnQvZHRiL3PI0fvJGpzNlViGlBSso1Tb51ZuZVLaOzMZ9g2qFyB40z3csxJKwJW4cDoOJ03KZsaCQvWkrMYI+sneuI2f7k3haqoZWqGmC1pgJidGt7PlIEZvbNg+jyGPHjvHee+/xxBNPsGDBAgD+7d/+jXfeeYdnn32W22+/nYaGBubMmUN2dvYZ76+pqeGZZ57hl7/8Zc+MzkMPPcSqVavYsWMH8+bNG3rlhkk21jxNNDdq0qEQXTs20Pb6OkKVx8NTj3b/AVDAmcjRwqs4PPYG/O40lA7vUA5g2zaGYVBX1cL+4nIqjzUMa99OMTCRHcZnek6wJmUHsz3HMc5xUOlMzqey6AZqJl6JNhyA6llLa9sa0BzcU0fxlnLqayQ5jb3wTuUmmhWJ+7m+n41SNdCQPYuySTdSnzsPZVtowww/193hAv4Q+3dWcmBXJV2dgXh8iIvC6PEZzFxQyKgx6T3HOwC0DcrA6WuhcP+zjDr8Ei5/21nLCWiTDb6pPN+xkEors6cPi9gyHQZjJ+cyZXYhSSletK1R3QdLpS20MklpPcrk0mcorHwPQ589OW22Enitcw6vdMylQ7tRIPtAxUFCkptpc0ZRNHsUTlf4uKcigbltgTJIK32PvC1/Jql858BaRCmUw0nGqtVk33wb7sLRw67neb+xpr+DiYHh7b/Ul1LXKJQ7cUifu7W1lR07drB06VJcLlfP49deey3Lly/nqquu4tOf/jQ7duzA6/We8f4XXniBb3zjGxQXF+N2u3seX7FiBbfffjuf//znh/ahokASmtPEooNorQkc2U/7G8/j2701HNj2kdi0JY6idMz1HCu4AtswOTUIPqPM7pNER5uPAzvLObK/hlBw8Dtoi8GJBEW5jmbWpOxgeeIBPEb4hKyB5rxZVEy9keZRc8MH/u4guC+2rTEMRVV5C9s3lnP0sCSn8RBpwxndyemcU5JTy3BROfoyyibdREdyQU8AdjaR5LTsQC17d1TQWNcenw/xAeNwGkyensfMBYWkpHl7+sZZaRtlW+SVvUHh/mdJajne81STlcj6rjm82ilBcDx5E91MmjGKCdPycThPC4JP152cuvwtTDz6POOPvYw70Nrz9NFgNi+2z+d931TCPUwS0XjIyktmxrxCxk3ORsM5+2BkkMdbV0relj+Rsf91DOu0VQfdg7iOzCyy136YjOvW4EhOjlp9z/+EppOJwSHOZJ1DqTOf6sYW/vM///Osr1m/fv2Ay3v55Ze56667ePjhhzl69Ci/+MUvuPrqq3nvvfdISEhg1apV/NM//RMul4vf/va3/PrXvz7jGpvbbruN2bNn8+///u9D/lzDJXO3caCUwj1xGu6J0wg11NLx9kt0vP8aOuAHoDZzFofGraE2a06vkeBzltl9oElIcjNv2URmXzKew7sr2Vt8goBv4MsxxOBERnhrQqk82ngFTzQt45rUvVwyJ5nmmdfSlVIQTmTgnMkMnDxZ5I1KYfVtM2hr9bH1/ePs21nTHSiLWIi04T5fAXt8o8l1tHBDzkHGzJpA+YRrCTkTiazUP1cyA5E2VIwvymXitDxqK1so3lhG1YmWGH+KD4aEJBcz5hUydU4+TufJ7/qcyQyAMtCmQfWEq6iadC1p1Tsxt73Ge8e8bPBN6xUES0+KrfTsZKbMLqBwXP9BcI/uFQcBdyr7pnyM/ZM/wugTb9BRso036sdyMFggM2pxohSMnZzNzPmFZOWlYHcPlvbXipE4pStrPGU3fJcTV36ZnG1/I6f4GZz+drAtEiYXkX3rx0hdthxlSrh5Ptq+fTvf+c53uPbaa7niiiv413/9V/x+P7Nnz+bOO+9k3759/OhHP6KyspIf/ehHdHV19ZrZiXC73fj9/hH4BCfJX1icOTJzSF37DyRf/2E6N7/JsY0lvDfzWygdDoIHksycKjIC5nCaYChJZuIm/L13aRdVM26kcuk4VCR0GmwbdgcASclu2lv9kszEycnkNIXqyz6HlZuM6rkjzeBG9CNBXGZOMjWVrf28WkSsunU2qekJAwuC+xA5XtamTuWPB5tRWmPLbEzceBJcXHXLPGzbHlAQ3CdloJXBRnsO71e5MQivXpBkJj4mTM1l+XVT0d3nnUH3xe7kNORNpfLSO2kvmMWC6ufI//DHSCiaHu3qXnB0jDbWzM/PH9QsTF9ee+01vvnNbzJ//nwefPBBAH7wgx/wz//8z6SmpgIwZcoUnE4nX/va1/j2t7+Nx+MhEDhzibXf7+9ziVo8SUIzQgyPl6QV1+MafzmU9D8SPBBWyEYphawijC+H04Fta0xzeAcupRQBvywbjD+Fy+U4JZkZRkkKbEv630C5XI4hJzOnsrTqvgOWJDPxZDrCfcaIQt8JdfcbSWTiy+E00frkdU7DYhiExheR/4mZJCTIHdHOZ3/84x/54Q9/yKpVq/jP//zPnlkXh8PRk8xETJ48GYDq6mry8vJobm4mEAj0mqmpra0lNzc3fh+gD3LkGGHRCKLEB4eEY0IIIS5Y5vAHZz9QlIr+zzA98cQT3HvvvXzyk5/koYce6pWY3HHHHXznO9/p9fqSkhKcTifjxo1jwYIF2LbNtm3bep4vKyujpqaGRYsWDbtuwyEzNEIIIYQQQnzAlZWVcf/993PNNdfwhS98gfr6+p7nPB4P1113Hffffz+zZ8/msssuo6SkhB/96Ed85jOfISkpiaSkJFavXs3dd9/N/fffj9fr5Z577mHx4sXMnTt35D4YktAIIYQQQggRdbG6hmaoXn75ZYLBIK+++iqvvvpqr+fWrl3LAw88gFKKxx57jPvvv5/s7Gw+9alP9bod87333sv999/Pl7/8ZSB8y+a77747rp+jL5LQCCGEEEIIEW2x2FhzGL74xS/yxS9+8Zyv+eQnP8knP/nJsz6fkJDAfffdx3333Rft6g3L+ZU6CiGEEEIIIcQgyAyNEEIIIYQQUaV6bmsd9XLFGWSGZgR1HC6l5vH/jVp5SiG3bB4JWmNEa1o5GrfOFINm2zo6fec8W15wvrN1dL73kzvSy/EvruTrvvBpfUr/GW5ZNq6mWgLb30UHz9yrRIhYkoQmzrRt0/D2u+z89BfYeuOtBJ74NVlv/A7D3wHaDv8MUmQjxszcFBISz9zBVcRGZAO42q07CZVsAdsGe2j7yETacNzEDBxO6ZbxEm5DTfv2DSS2ngDo2eR2MHR3YK5tzfgpOVGu5QfXxtcP09TQAYBtD/7YF958xsZrhrhqQhvJhMtSDKEsMWgdbT52bynD7wsCQxtQU93nvIn5DpaN78JpWN2bFEu2FA9HD9dzcHcVlmX3bK45WKr7vJfWXErR3j/S9fTvqPn+l2h76W9Yrc1RrO2FRSvQSsXgZ6Q/2flJaRnS76WkpASAWbNmRbVcq7OLmnXPceK3f8B3/ET4Xu3WycDJcnlpXnQjdZf/A8HMgnBg3M+O87atMQxF5bEGDuysoKaiOap1Fn0ztIVGMd23h+VtbzIuUIYCQhl5tK/4CO3Lb0W7u3fMPcd0c6TrWZZm785qdm2toLmxK/Yf4KIX3n7RpSyuzdzP9Zn7yHO3A9CYMpHS0ddRmb0Qhe53w1tthzek6+oIsHdHOQd3VxHwh+LwGT5Y8gpTmTm/kDETM9F6ALuVdx8fna215G79C1klL2AGOrEw2KGmsV4t45gqwMCWjRrjwDAUhROzKZpdSGpGErZt97vZptIWWpnk+MqY1fIWYzr3YKBpCzp5uWIMTx+fSGPAg6E0tkRwMef2Oimalc/0eQV4vK7wZpv9zdxoC6Uhv2oD44++SFpLWe/nVXjJlWfepSRdfj3OgnFRrXOs4rVoKCkpwQ50MZ6mqJddRjqGy3tefu6RJAnNaaLdQXxV1VQ+8Wcq//cvWB0dkXVhZ329Voq2qcuov+If6Ji0CKwQmCcvdYo0l21pSvdVcaikkrYWCYJjT4MGlw5wSccGLm1/lwyrsc9X2m4vHYtX03b17VhZhWckp5EguKM9QPHmcvburMbvkyA41gw0NoosZzs3Ze9hZfohEsxgn6/tdGdQVnAVRwtWEjI94QdPOblHArb6mlb2bCvnWGn9kEc3xUnJqR6mzy2gaHY+ju5d6HsFVXYIDAeJ5bvI2/IXUkvf7xnhP10ZhbyulrBdzUAp2YE+XrLyUpk8q4BRY/tOTsPtpZnQXszM1rfJClT0WY5lK96ry+fJYxM52JqOqWwsLW0Ya4ahGDclm1kLR5OeldQzcNpD24DCEepk3NFXGHv8VTz+5v4KBdvGOb6IpMtvwD1jQVQ2Fb8gEhrVEvWyy3SqJDR9kITmNNHsIOWPPUHpAw+G/2cIyyl8eZOoX/EJmhasQZsOlFJ0dfg5sKuC0r3VBAMSBMec1qAUaaFGVrS/xcKOzbi1f2BvVQrf9Etpu+p2/EWLeka8aipb2bGpnCMHG3qWmonYUWg0immJ1dyctYcFKScw1cC+95Dh4kTeMg6PuZ5Ob054QEHDscN17NlRTn11W4xrf3FyukymzMhj5sJCkpI9PctxM/auJ3fb30ioPTTgshpJ4W21mLfVIny4u6+nlRH/WEtM9jBpxijGTz2ZnLrsLqa3vse0tvdJsAbed/a3pPHM8Qm8UzMKG4W0X3zkjEplxvwCxkzMCi8DVAaJ7ZVMOPIcBZXvYdp9DwidlTJA25gZ2WR9/X4Mb+Kw6icJzfn3uUeSJDSniWYH2fv1f6bupVfOOSMzEKHEdJ665qc0dhqUl9UPtzgxCNe0vEB+sIppvr0Yw1jTXVu4gLeWfYcTZU3UVEoQHC+F7iYuSytjYcoJJnj7nlEbCI3iBcf1bFILOHKgjs72gSW1YniUgpvG1zA7rYGsva/i7Bh6G/px8qDxGSpUHhIQx4/DafLVlW2M9rYwoWMHDj30gbg6n4dPvXu1zLbFWWqKk39Zdpy05iNkNuyOSu/J/vaPceQWDKuMCyGhGadao172UZ0iCU0f5LbNsdbPErOBcHQ0UVZ8hFZHWnTqJAbssvZ38AxwRuZcjKpjbH3veBRqJAbDbVh8JHfnsMtRaIzqI+ypzOm+AkfEg9bgO3yAHP0G5jAv9HcTJJNmKsiLUu3EQISCFrkN25mSNvRkNCLb48NUGpnYjq/2Vh+TSteNdDUuQAodi9s2yzVlfZJhDiGEEEIIIcQFS2ZohBBCCCGEiLaYbKwp+iLftBBCCCGEEOKCJTM0QgghhBBCRJnuby8fETXn1QzNww8/zB133NHrsddff51bb72VefPmsXLlSv7zP/8Tn8/X87zf7+f73/8+S5cuZd68eXzjG9+gsXH4Fx8KIYQQQgghzn/nTULz+OOP85Of/KTXY1u3buXLX/4y11xzDU8//TT33HMPL7zwAt///vd7XvO9732Pd999l5/97Gf8/ve/58iRI9x1111xrv05ROEey6HUbKYsnsyEqTn976AtouqtpCvY5Z2DNcyuEsifxKzF48jOT41SzcRA+GwHT1TP42Bn1rDK0SgonMK8pWNJTvVEqXaiP8pQuCZPp2LhJ/AnZQ+rrC7c1JMepZqJgXK7HbQULuJo1hJChmtYZVV3JWDJHZ7iLjnNy8HJt1KTPVfu8jhIWhlR/xF9G/F9aGpqarjnnnvYtGkTeXl5ZGVl8dhjjwHwzW9+k4aGBn7729/2vP6ZZ57h7rvvZvv27TQ1NXHFFVfwy1/+kssvvxyAsrIyVq1axZ/+9CfmzZs36PpE877mFU/8mdL7fxTejG8oG2uOnkbzlZ+kbcEqtDJQhoGvM8De4goOlFTh7xrkplZi8Lo31ky2Wlje9jaLOjaSoLsG9lZl0DL9cmovu4POsXN6NtZsqm9nf/EJjh+uk4014yCyseYkbx03Z+9mSeqxgW+saXooL1jB0XHX4fNkom0NCo6VNrBraznV5dHfNE2Ay+1g0vR8ps4pxJvo6j5+ajIPv0VB8d9Irt474LLqSeNNtYR31QICOGVjzThJy/Aye0EBU2fnYZoKBZi2n3F1GxhX+x4JweYBlaM17GnO4KnjE9lYl9e9G5i0Xzzkj05jxoJCCsdlhje3VQbezlomlD1PYfnbOKxBbmlgGGDbmNn5ZP1/92J4E4ZVv/N/Hxofo52+/l88SCeCHgyX57z83CNpxK+h2bNnD06nk3Xr1vGLX/yCioqKnuc+/elPYxi9s1HDMAgGg7S3t7Nt2zYAlixZ0vP8+PHjyc3NZcuWLUNKaKKp4BMfJfuaq6j801+o+OOfCLW29rsvjVYG7XOupPmqf8A3fg5YITAdPYdvt9fJvCXjmHPJWEr31rC3uJzmhs74fKCLUff61zYzhRdTV/NK6ioWdWxiWfs7ZIfq+nyL5U6iYeFN1F12O8HUXLCt7qLCZaVlJrL06mnMWzaRg7sqOLynCr9PktNYiYwoHunK4r+OX0m6o5M1WXu4JuMgSY5An+/p9GZzbMw1nCi8HPuUUWXVPUM6ZkIm4yZl0VjXzs4t5ZQeqMW2JDkdrpQ0L0VzCpk4NQ/DPCVo7T4PNEy6nIYpK0ms2U/B9j+TWfo2Rnf/OpUGDjOW9cZSSpiKUlo2Y4yTwnFpzF1UyJgJGdi27rWqwDI9HMm9nNLcy8lv2sWE2nfI6DjWZzlBW/F2TQFPHptIWXsqprJldiAOTNNgwtQcZi4YTWpGwslBt+6ZgS5vFnumf4r9RR9j7LHXGHfsFby+hnMX2p3IuCZOJ/HyG3AXzUYZF0l/lGto4mbEZ2hO9S//8i9UVFT0zNCcLhgM8tGPfhSlFE8++SS//e1v+fWvf83777/f63W33XYbs2fP5t///d8HXYeSkhK01kyaNGlIn+FsbL+fhpdepfqxJ/CVHQXTBOvkidjyJNF66S00X3kHofTuINgwz12mbWMYBlUnmtizrZzyo3LtUDwY2sJWJkW+fSxve5NJ/kMowJ9RSN2lH6Nh4Vq00wWofg9m2tZorSk7UMOBXRW0NHbE4yNc5MJhkUNZXJVxiNWZeynwtKKBpvQijo69jtrseShto/vpg5FZN19XkN3bK9i7sxJfpySng5U3Op1pcwsZNSaj57h2TrYNhoGzo4FRxX8jd/dzOP1tBDHZpmbymlpGpcrFwJZEJg5Mh8GUGTnMXVRIembCGYlMX5S20MokteMEE2veIr9pFwY2zQEXL5aP5ZkTE2gNuntmWEVseRNcTJ0ziqlzRuFyh8e6VT/nL6UtNIq86i2ML3uB9OZDvVtKqXA/nbcM95KrMHMLolrnw4cPo5Q6L2cqwjM0fgrdfQ+aDUe534Xhcp+Xn3skjfgMzUCFQiG+/e1vc+jQIR5//HEAurq6cLnOXJPrdrvx+4e+u3swGGTfvn1Dfv9ZTZmI+YO78ezdT/DFV7CKd2G7E2hY82Valn0I7XCdDID7CaSAnpN+bkEq+aPTqalo5q0X99PZPvyd7cXZ2SrcNofcUzjgmcaYxA6WLcmHKXPC0/LGwLuVMhQKxfipuUycns/+4hPs2nwUKzS8XdHFuSg0ENQOXmko4qWGaVw+3Wb2ZUX4U0ahbAuUQqv++2DkhO/xOpm/dCzzlozhzRf3U7q/79k70dvoCVnMXTKelPSTI8H9JjPhFwEQTMjg2KWf49jif+T4K2+w/Sh0kIAi3H8kmYktpWDhpWOZvbAAl/tkfxnItZ6R/tWSUMD2Cbdjtzax8+UtbClzYWnVk8RIMhNbngQni5ZPZHxRNqAGdZ1upA1rchdSnX8JKS1HmLr/T2Q37MZyJ9AxdT6dE2dhexKgsTX8E2V9xYDi4nRBJDTt7e189atfZfPmzfz85z9n9uzZAHg8HgKBM7Nfv9+P1+sd8u9zOp1Rn6HpZfp0uO1D+I6fYO/zG2me+4lhFRcJAGoqWiSZiaNIYpM+ayZ68uhwcDvEC/YibVhe1iDJTBxFAt7sRYvwJSeioN9ZmbMxDIVtaUlmBmHBZRNJSHIDAwuCz6AUoPCFTN45enI9vpZEJi6SUz0sumzs8ArpPmYePhFgwxG54Ua8jZ2UxcRpucMqI3LMbE0Zz4FpHycv8yApc5eS4YhtiHn48OGYlh8NkpDHz3mf0NTW1vK5z32OiooKHn30URYtWtTzXF5eHs3NzQQCgV5Zem1tLbm5Q++gSikSEoZ3sdpAJEwtYlTqWPYP/PrWfilDhS9cFnGltUZF5cAlbTcSlFL9Lq8Q0Re97136jRBDo3qWzg6/KEUwPZukhblxiaHkmC1OdV4PY7W0tPCP//iPNDY28vjjj/dKZgAWLFiAbds9NweA8F3OampqznitEEIIIYQQ8aBVbG7bLHcu79t5PUPzH//xH5w4cYJHHnmEjIwM6upOLuXIyMggNzeX1atXc/fdd3P//ffj9Xq55557WLx4MXPnzh25igshhBBCCCHi4rxNaCzL4oUXXiAYDPKP//iPZzy/fv16CgsLuffee7n//vv58pe/DMCKFSu4++67411dIYQQQgghTpJlcXFzXiU0DzzwQM+/TdNk165d/b4nISGB++67j/vuuy+WVRNCCCGEEEKch86rhEYIIYQQQogPArnjYvxIQjPCtCW36BVCCCHEhU/ZNuf5/abiSMkF/HEkf3UjxOpop+Hvf6Xpp+Glcsq2hl2mw2nKLZtHQCgYwjCN8Kaaw6C1xumSMYZ4U2j8vhDaHv7ggq3Du6aLgQn4Qz0bag6HqXR4U3JkgCieQkEbrTV2FPqOyxnuN9KG8RUMhFAqCts9aA3aJrH+GL6nHiF47BBaSzwi4keipzjzV5bT9PzTNK9/CR0Kkqg1M5/+OhVzb6Np3NLuneYHvrFf5IARDFiEghYut0nAP/zkSJybQqOBRMPP1LJnmOpKonLSKlqTx6C0NaBd5iO0rVGGoqPVh9vrlL2E4sTAxsZglLOJvLd/ydjZ46icfD1Bd0q4Hw5ik1TbtjEMg5qKFrLzk6k+0RLDmn9wrF+3kykzCyiaPaonmR/U3hK2BYZJTvUO/r/s19lSk8pGNQcbQ5Z6xEFnR4C//m47sxcWMmXG4HeaR2tAo6wQi0NbmJi3ldcbxrMnOLanf4rYOrK/llDQYsb80eQWpGLbepBtGD5WuoOtTCx/lXFVb2HbPloO7sTMG4132SrcMxaiYrzJ5vlKD3Gz7XOTpL8vSksK3UtJSQkAs2bNilqZWms6S3bQ8OyTdGzfDIYBfYxo+VLyqJx1CzXTV2M7XIA66x0yIgFUa3MXe7adoHRfDSHZYT7mIifZQmcja9KKWZZ4CJcRTiA10JA+jcPjbqA6ZxEK+5yJTaQNq8ub2F9cTtXxxjh9iotbuA0V87zHWJ1SzAxPRU83s5VJ7ehLOTblJjrSxqJsq2cX7L7YtkZrzcE9NezeXk5TfWecPsUHi2kajJuSw7R5o0lNT+hJ8vvUEwQHydv7AqN2PYW3ubzn6TYSeJcFvK6W0E5i9+CDrPuItYREFzPm5TN7wShc7n6S0+4g2NnZRP6ev5N74BUcgY6ep8tDmbzSNY93fDOxUN3tJ20YaxnZSUyfV8CEqTn0l5xGBu7SWsuYVP4yo+q3Y+jTBlOVAq1Ricl4l1yNZ+HlGInJUatvLOK1aCkpKcEKBshLiH5CU91pYzpd5+XnHkmS0Jwmmh3EDgRofXs9Dev+SqDixFkTmdOFnAnUTruOijm3EUjOAW1Bd2AcGT2pPN7Enm0nqDjWNOx6iv71BMEJx1iTWswMT+U578bY4c3hyNhVHB19NZbh5NTkVNsaW2vK9ldzYFcFrU0SBMdeOCRyKIuVSXtZlbKLfOfZZ1E00JI1leOTV1M/alE4iO5ObCK7and1Bti9rYJ9u6rwdQXj8zEuAnmFaUydW0jB2Mzeo8WRILijgYLiv5K393kc/vazlhPCZDvTeVUto5w8GfGPE9NUTJ6ew7zFhaRnJfZuw+4ZtcS6g4za/QwZRzeeGQSfos328kbXLF7qWkCbTpDkNE68CU6KZo9i2twC3B5nzzEPuhMZFKPqtjGp/BUy2o4MrFClwDBwz7kU76XX4MgpGHY9L4SEJjdh4Ks1Bqqm05KEpg+S0Jwmmh2k6uGf0PzK8z2jFIOllUHjuCVUzP0wbfkzsSybw3ur2bejguZGCYLjxalCXJW8l1WpJecMgvsSNL0cL7yCg+NuxO/NxNcV4MDOCg7vrSTgC8WoxiIiEsSmmx2sTinmyqS9JJqBQZXRlZBN+aTrOTHhWnC4aKhtZ+eWExw5UBeV6z9E35JTvRTNLmDK9FyUw0FSzT4Kt/+ZzCPvoAZxvZoGShnDerWUYj21e6BfguJ4KBibxtxFBYydmAm2TebR98jfs47kuoODKiekDTb7p/B81yKOh3IIt6q0YayZpmJ8UQ6zFowmNTMRR6iL8ZVvML7ydRL8QxxMNQzQmvRv/BgzJX1Y9ZOE5vz73CNJEprTRLODVDz0Q1rff2tIyczpvpfwHep9bvwSBMfV/aP+Sp6zZdBB8Omqgql8v+sLtDR2SBAcR+OdtXw+6w3GuBow1fC+91e65vN0aCVNDV1Rqp0YiOtdm1np3UNS87Fhl/VTbmefmogEw/H1ncJXmGRU4Ooa3rJareHO+v8PSy7/jSsTm99c9iaJXbU47OGdCyPSvnIfjuz8YZVxISQ0OYnOqJdd2xGUhKYPclS4QHQ0d+An+pm+OLdRrma8xvCXEyk0TfVnXx4jYkMpGO+uj05hwUD3zKgEw/Gk/T68/hNRKcuFDAiNBLO9EZdz+NcIKiW9b6SkdpT3/yIhRpAkNEIIIYQQQkSZHsxdG8WwSEIjhBBCCCFElMlNLOJHbvkihBBCCCGEuGDJDI0QQgghhBBRpFEx2VhTZn36JjM0QgghhBBCiAuWzNCc52zTSUvR5Vw/+1KaWoPs2FxJTWXbSFfrovH9ypsZ7WpkdepOxrkbhlSGz5nCkYIbuHzuPGormijbX4mvMzq3vhTn1hhK5FsVH2VRQhnXJu8mzTG0/ZvaU0Zjzl7Nh9Ims39XNQf21BAKDnwvFDE0OXmJjFp8I5WZHyJ1+3Mk7X4dIzT4vmOj2MskSimMQS3F2SgFheMzqZ7/VTrsVsYefJaMmuIhjS/7tIP3fNMJYSL70MSPw2kyZmIeT028m5zOI8xseJ20QPXwC75ILpaX2ZT4kX1oThPN+5p37t9DzW//H77DB8K7jNtn3xH5dKGEVBrmrKFh/s1Y3lS0baMBwzCoqWxj+6ZyDu+vj8YWN+KcNAYaG4OpnkrWpO5kQcJRjAHsadKUMJr9BddTlrMcWxmgDLStQUHl0XqO7K2guV6S09gKBz4KGwUsSzzIDSk7B3QrZ42iMX8uJ6asoTl3JthWz/KBYMBiT3EVe7ZX0t7mj+1HuMgoBROLMlm4pICC0SnYto3RvRmm4WsndcvfSd26Dkd7/7cB9uNkI3NYry6ljgwUNloWJsSc02kycXoe0+cVkpjsQds2BhptmCS0ljNu/9PkH3sL0+o/OW2wknmtay7rfXPo0q7uRyVIjDVvkptxU0cxZnIepmmgINx/lElB2x5m179CQce+wbeE04V38ZUkXH0ryhzeVhTn+z40oWCQzGRv1MtuaOvC4XSel597JElCc5pYdJCug/toePZJ2ja8HT5b22cf2e3KGk/9grU0T18JyggnQqexbY1hKDra/ezYXMme4mrZcDMOIrvOZznaWJ26kyuS95Fw2h41GkVFxlz2FaymJm0GSlto1Vcb2hiGQXN9G6V7yqk61oB0xdiLtGGRu5I1KcV9Jqchh5uacZdzYsoafEm5KNtCn6UfApQdrGPX1gqZOR0ml9tk5txcFi4pIDnF3XOcO4NtgdYk7X6DtE1P4qk+fMZLGknhLRbzllqEHwmC4yUpxcPUOQVMnpGP6Qgnjur0kXhtAwpHsIPRh55n9KEX8fjOTE4PB/N4qXMBmwNTUIAtiWhcZOSkMH56AbmFGWhNn30wcl5L9Vczu/4VJjVvwqHPsl+bMkDbGKkZeJddh3vuMgxPdIL8CyGhyUhJjHrZja0dktD0QRKa08SygwQb6mh6cR1NL63D7uoMJzdao1G0TVhM/aLb6Bg9O3zC7iOAOl2k6SxLs3dnNcVbKmlulF3MYy88iexSIa5K3sv1qbtIdwc4kns5ewtX0+HJOWsic0ZJWqOUwtcV4MjeCo4frCYYkOQ01iKJTabZxuqUYq5I3oeRlELFpFVUTrwGy+EBdPhk3I9IclpX3Ubx5nLKDtb3JDuif6npHuYvGsWs+bk4zhYE96X7OOk5sYe0DX8l8cD7lOlRvM4StjM9PHYkQXBc5IxKZfq8QgrHZ541CO6TbaGAvONvM/bAOhIay9jqn8wLXQspC+X19FMRW4ahyB+XzYTpBaSkJ6JtjRpIG3bHIC67i+kNbzK98Q0SQy2RQsG2cYydgnfZdbimzEYZ0W1LSWjOv889koac0Jw4cYL169dTUVGBbduMGjWKFStWMHnyZAAee+wxUlJSuPnmm6Na4ViLRwex/T5a3nqNhr//lc72AKUfe5BgWv6AE5k+y7Q1lSdaWPfnPYRCsrY/XgxssgsyWXTFFJTpZKBB8Oki3fDgruMcLD4e5VqKswsnp5csH8PcJWPDJ+gh9sHIcsJ1f9pF1YmW6FbzA2rldROYuyh/cEHw6WwLSyv++pvtVFT7JAiOI4fD4Lrb5pKRndyT2A+Fsi2amn2sf3IbnT4tSwPjKDUziUUrZ+D2OHsG2IZCaRvQzK99lvkNL+GevQTv0mtw5I+JboVPcSEkNOkpSVEvu6m1/QOR0EQ7jxj0TQHa29u59957Wbdu3RlLZB588EGuvfZavvnNb/Lzn/+c73//+4Mt/qJguD2kX7uGtKtv4PCmPQTJ735i6OtJDUNRVd6KZUkyE082Bhm5qWA4ui9yHOLJoPskUl/ZHL3KiQFQaGDM5JxwIjqMVUnKUFiWLcnMIEyamolSanjXBxsm/o4gFdU+QGZl4smb6CIjOxlgyMkMgDZMGuva6fSFYwpJZuInLTMJlzscCg41mQF6ri8sy1nKso8tIzE7Lyr1u6ApYnLb5gt99Wys8ohBJTSWZfFP//RPFBcX89nPfpbVq1czZswYDMPgxIkTvPzyyzz66KO88cYbzJkzh1WrVg2m+IuOMgzcEybDkSiWqZRcizEC5J47QgghLnaWJwmVKDfQPZ81Nzfz0EMP8eabb9Le3k5RURHf+MY3WLhwIQAbNmzgxz/+MaWlpeTn5/OVr3yF1atX97zf7/fzwAMP8NJLL+Hz+Vi5ciXf/e53ycjI6Pd3xzKPGNRf3ZNPPsnOnTt57LHHmDNnTq/nJk+ezOTJk0lNTeWHP/whV1xxxWCKFkIIIYQQ4gNCxei2zcMr8+tf/zp1dXU89NBDZGZm8thjj/GZz3yGp59+Gq01X/jCF7jzzjv58Y9/zJtvvsm3v/1tMjIyWLp0KQDf+9732Lp1Kz/72c9wuVzcc8893HXXXfzxj3/s93fHMo8Y1FzYU089xcc//vEzKhERCoV45JFHKCgo4JVXXhlURYQQQgghhBCxcezYMd577z2+973vsXDhQsaPH8+//du/kZOTw7PPPsvvf/97ioqK+NrXvsbEiRP5zGc+w6pVq3jkkUcAqKmp4ZlnnuHuu+9m4cKFzJ49m4ceeogtW7awY8eOfn9/LPOIQSU0ZWVlPRlaX0pLS0lMTOTuu++mrKxsUBURQgghhBDig0IrFfWf4UhPT+dXv/pVrxsKhK9jVLS2trJ169Yz4vwlS5awbds2tNZs27at57GI8ePHk5uby5YtW/r9/bHMIwa15CwUCuF2u8/6fFFRES+88AIbN27Esga+iaQQQgghhBCif1VVVXz1q1896/Pr16/v8/GUlBQuv/zyXo+9/PLLHDt2jH/913/l6aefJi+v9w0dcnJy6OrqoqmpiZqaGtLT08/IBXJycqiuru633rHMIwY1QzN27FiKi4v7fd2OHTsYO3bsoCoihBBCCCHEB4EGtFbR/4liHbdv3853vvMdrr32Wq644gp8Ph8ul6vXayL/HwgE6OrqOuN5ALfbjd/v7/f3xTKPGNQMzapVq/jNb37D2rVryc3N7fM1lZWV/OEPf+Czn/3soCpysfJXlgMTolae3OFMCCGEECNBdbRj+zyQkDDSVflAy8/PP+sszEC99tprfPOb32T+/Pk8+OCDQDgxCQQCvV4X+X+v14vH4znjeQjf+czr9fb7O2OZRwxqhub2228nPT2dj370o7zwwgv4fL6e57q6unj22Wf5+Mc/TnZ2Np/85CcHVZGLibYsmt5+i33/5/PU3fNtjM7W8IZ+euh7yNi2Jis3+hs4iXMzsGlp7Ajfc8Qe3jJL29akde/pIOJHYVNT3r13jB0acjnhTekgI0tO5ANVWd4KgG0PY/8srXG5DNLSw8sYDGQvrnjxdQXpaAvHAdoe+mCasi1S0xNwOFT3zlAyMBcvbc2d2JaN1npYA6Kq+9iZcegdjv/THdT8/lcE62qjVc0LlsaI+k80/PGPf+QrX/kKV155Jb/85S97loHl5+dTW9u73Wpra0lISCA5OZm8vDyam5vPSGpqa2vPmqCcKpZ5xKBmaBISEnj00Uf5+te/zte//nUcDgdpaWlA+L7WoVCIhQsX8l//9V94PJ5BVeRiYHV0UPf8s9T86X8J1NaAYeC0bUbfexMd86+j+fJPEMoZGw6MB7jJpm2Hg6iyQw3s2FyBTNDEh4GNBubrPVxV9ih51V0cn3oTR6feQsiVBOjwRo39iJxALMvm2IEqqo81xLbiopsGDR78rLA3s+L5/8KzLZf6RbfRPPNqQA24D2pbowxFR5ufnVvKaW3x9f8mAcBzTx5g28ZKFlwyisnTsoDwJsED0n2cdLfXMm7/8/wi+32K3Xk82zyH/b58DGzZZDPGggGLp/+wmTETspg+v5Cs3BRs2x7wJpvKttCGSXrdbubuf4abU3fzjm86L3YtpMFOkTaMg8baVl57cjNjJuUxfloBngRX9+DMAPuhtlG2xeiy15hw4ClSmo+igfpn/kL9038m5dLLybz5wyQUTYvp5zhfxea2zcPzxBNPcO+993LHHXfw3e9+t1dbL1y4kM2bN/d6/caNG5k/fz6GYbBgwQJs22bbtm09F/eXlZVRU1PDokWL+v3dscwjlB5CSq615v333+f111+nsrISgIKCAlauXMnSpUuHtdvsSCspKQHodQeI4fJVVFD7t79Q9+zfsSNrDPv42jXgm7yQlhWfoGvqErAsMM8MqiJNFgralOyoYtfWSlpb+l+7KIYr/L178HO53sLlbCGd1l6vsEwXlROu4siMj9CRNqbnhH1GSd0njK52H6V7KzhxuIZQUG6kEWuRAClbN3CV/R6L7WLcBHu9JpiYQeOCm2lY+CEsTzJnS05tW2MYiqryFnZuLudYaYMMKAxDcoqLuQvzmbMwH5cr3Gf6PJd0JzIp1bvJ3/8CqVUlnL6qvMyfyfPNs3mvbTIaJCiOk6zcZKbNLWTspGw050hOtY3SNqPK1jPm4LMktxzv9bStFTsCE3ixayEHgoWS2MSJUpA3JosJ0wtIy0ruGaw5g7ZBGbh8LUw48BRjDz2P29/Sd6GGCbaFZ1IRWbd8hJSly1GO6Gy8GYt4LVpKSkoIhkIkpWRGvez21gacDseQPndZWRk33ngjV1xxBffcc0+v5zweD9XV1axdu5ZPfepTrF27lrfeeov/+q//4pFHHulJYL7xjW9QXFzM/fffj9fr5Z577iEpKYnHHntswPWIRR4xpITmgyyaHaTzSCkVv/olze++A4YBg1hWEcgeQ+tlH6Z90Rq06QSlsHX4BNHa4mPHpgr27qohGJAgONZ6gmAauEa/zyXswnVaEHw6DTTkz6dsxm3UFV7Sk9hERi8baloo3VNOTXmjrK6Ig0gbTrUPs9J+j2m6FKOfL942XTTPvJr6JR/Dn3Vy5tS2w0tiDu2pZde2ChpqO+LzIS4SDqfBjNk5LFxSQFqGN9xnlAI0yrbIKnuHvAMvk9Ba0W9ZzSEvr7TM4MWWmXTYHhT6vBwx/aBJSHJTNHsUU2aNwunsTk67BwacvhbGHlxHYenLuPyt/ZQEx0LZvNQ5nw3+adioqC25EeeWlpXE+KmjyB+bDYAyVM95LLnpCJP2/ZWCY29iDHSZbncM5EjPIPOWj5B5022oAc7knc2FkNAkpmRFveyO1vohJzS//OUv+e///u8+n1u7di0PPPAAb7/9Nj/+8Y85evQohYWFfOUrX+GGG27oeV1nZyf3338/L7/8MgArVqzg7rvvJj09fWgfKEoGldBMnTp1wFmTUoq9e/cOuWIjJZodpPR7/07j668NKpE5neVNpm3xjZy47NO0tATYvrmCo4cbZSQ4TtJ0K3nUcQ3vM5Uj/QbBfWlPKWT/tI9xYvxV1JY3cWRvBa1NEgTHQ6LuQKGZY+/jSnsD+dQNugwNdIydx8Eln8efO5H9u6rZU1xJV8e5k1oxfOMmpnP98hTSMrzkHH6dnMOv4wy0D7qcgG3yXvskfld3KV3axXB32hYD43AYjJ+ay2XzkvHanYw98HfyTrw78CD4FC12Auu75vB0Z2QPC2nDePAkuBg3JY/pkxJJr9vHxP1PklG3e9jf/qT/9wfcowqHVYYkNOff5+5PLPOIQc37felLX7qgl5PFnbb7XFo2GGZXG2lvPcFPisfRYqRGqWJioO7h53g4844eg5HUWs6YTb/h0c1y04Z4y9TN/LP1y2GVoYCkYztoP/Fb/mysCa/LEHFxtLSJ6sb1rMjYgqmGfix1GRZXphxgS8c4tnaMi14FxTmFQjaHdlfx0fL/psjZ/4zauaQanXwocQPPdi4mNLjQRQyDrzPAweIyvrbrvugWPJwbgVwwVIxmhC/cc1As84hBHRW+8pWvxKQSQgghhBBCiA+uWOYRMswhhBBCCCFElMk1e/EjV9cJIYQQQgghLlgyQyOEEEIIIUQ0adA6BjM0clOoPklCI4QQQgghRJTJkrP4kSVnFwinx4lpSseIt3a8hBjYjvH98SS4olKOGDgNtJAUnQEtw8DjdUajJDEYhkHAGZ07BFqxGC0V/bKdHiyHOyplyeD0yAgmpKP72GBYiPOFzNDEkOH2DOv9GugaPZOGZR/n5ukrCQRC7NlRyb6dlXR1DO9WwmJg/o2vkqQ6Wak3spxtJNE5qPfbhkn9hBUcm/cJ1uZMorWpg33F5Rw7WItlXQy3rRxZVUYO/2r8MwW6iqut95ivd+NgcJvRhjzJNM1bQ/oln+DTSSkcP9JI8ZZyyo82x6bSAgC318mUGfl45y7mVbebvNptTDz6AhlN+wc95lkZSOWFllkUd46JSV1F3zKyEpi1sIDGGT9isx0i9+ArjNr7HJ72mkGVozXsDY7hxa4FWDgInx0lOY2HsRPTmbe4kP3j/oajtY7sLX8lfddLmIEh7qXWvcGmcn3wB/jCWzBH/+9Ukvq+DWpjzYtBNDdqCrW2UvvMU9T85U+Empt7OnJ/tGHSOnMl9cs+ia9gas8O5UDPLuWH99WyZ3sFDbWD32RODJ7CxsBmid7JSjYyqp8NGoPuZKqnr6Z8zm0EEzPDexIpg0h3CwZCHCyp5NDuSnydkpzGmsJGY5CoO7jS3sBl9haS+0lO/ZljaFh0K81zr0ebTkCBUti2xjAUTQ2dFG8u5+DeWqyQJKfRkpaZyNQ5BYwvysVQCmWEAwKlLbQySW47zqSy5xhVtQFTn32DRq2hpKuA55rnUNw5BgMbWxYlxMWYCRnMWVRAwdj0nv4ChM9lyiD9xGYKdv+dlJo95wz3AtrB+76pvNC1kCorU9owThxOg6mzcpm3uJDUdO/JNtTdIXooQMbO58nc9jTu5qqBFWqYYFskLVxC1i0fIXHW3GHX83zfWDMQtHCn5EW9bH9rNS6neV5+7pEkCc1pYtFB7GCQpjdep/p/H6fz0EEwTbDOHCUOeVNoWnQzDZd+DCspM5z8GH0fvCMHmOqKFkq2nuB4acNw9/AUAxA5oRZxhKv1BqZzGOOU8ZLOtNFUzLmV6qnXo00HkSC4L5Hk9NihWg7srKCpXpLTeFDYGNrmEl3MldYGRlHb85wGOsYvpH7JR+mYuLjXYMLpIofOgN+iZHslu3dU0tkuyelQFYzLYNrcQvIKTwuCT9c9OOAKtDL+2EuMO7Eed6C15+mAbfJO22SebZ5LZTBNguA4cTgNimbmMmdRISlp3nO2obIttGGS0HiUgt3PkFX2DoZ9MjltthJZ75vDK13z6NRuFHItQjwkpbiZNX8Us+bn43SFj3tn3QSxOzlNPryBrC1/I/HEzr5bSCmU00n6NavJWLMW96jCqNX3QkhoXCn5US870FolCU0fJKE5TSw7iNaa9pJd1Pz5f2l6+61woGvb+LPH0bD0IzTPX4M2HOHHB7iTqrY1ylC0t/oo2XqC/SXVMlocB5EgKYtGrtYbmDrapHbuh2gas6jnZD1QkRN/XXUL+3acoKKsIYY1FxGRNpxiH+EqYzP5M8fTuOSjBDLHnDOR6UskOT20t47izeU01A1xOcZFxuE0mDA1j+nzCklK8fYczwZM2yhtU1j5DpmHXuf9ynRebplJh+2SIDhOkpLdzJw/iulzBxAEn647OXX4Wsnf+xz+ki281jyFjf5p3ct1JBGNh7yCZOYuKmBCUTbA2QcT+tJ9rHTXlZG9+S+k7nsDQ1tg2zgyssi85cOkX3U9ZlJ0roM7lSQ059/nHklyDU0cKaVInj2H5Nlz8FdXUfvk3zj23k4Of+5X4dkYc/DNETn5Jya7Sc9KlGQmTiIjvvWkUzz386hlk8IHdhhUMgMnTx5ZuSkYAw0ExLBF2vCwMY6ij94MY9NQkdm2IbWhYtK0LN557XCUa/rBdc0tc8nIORnoDCqZCb8BrQzKspfxo+cc2CGrJ4mRkbrY8yQ4+fjnF6GUGlwQHNF9kXnIk8L76dfxfE2hzKjF2cSiLK7/0HRs2x5aG3YfK/1ZYylf/c+0TF5G0e7/JedDHyP5kmUoMzo31blQxeS2zaJPktCMEHdePqO/9BUCa1o4XGaAObwDuFIKX1cQpRQy6RZPCrfXhW3ZGMM8cIfbUJYsxZuNQWKSq3tUebgnH0XAP7ibDlzMvImugY/mn0PIpnswR4KHeHK5TMxhnrsiujrDS84kmYkvb6ITrTXGWZa3D1h3chqcMINRH3mQhISEKNROiIGThGaEGa7o3MqyR3idhRBCCCFEfDnl1vansmWQJW5kKEQIIYQQQghxwZIZGiGEEEIIIaJKxejGJDLr05fzbobm4Ycf5o477jjj8WPHjjF37lzKy8t7Pe73+/n+97/P0qVLmTdvHt/4xjdobGyMV3WFEEIIIYQ4g9Yq6j+ib+dVQvP444/zk5/85IzHS0tL+fSnP01XV9cZz33ve9/j3Xff5Wc/+xm///3vOXLkCHfddVccaiuEEEIIIYQYaedFQlNTU8MXv/hFHnzwQcaNG9fruYcffpjbbruN1NTUPt/3zDPPcPfdd7Nw4UJmz57NQw89xJYtW9ixY0ecai+EEEIIIURvunvZWTR/RN/Oi4Rmz549OJ1O1q1bx5w5c3o999prr/Ef//Ef/PM///MZ79u2bRsAS5Ys6Xls/Pjx5ObmsmXLlthWOgpCzc20vf16VMvUttzibCRE49azYuRojdzufATIdy7EB4jWUFdL564d0rdF3J0XNwVYuXIlK1eu7PO5v/71rwBs2rTpjOdqampIT0/H7e596+OcnByqq6uHXB+tNZ2dnUN+f3/8x47S/PwztL75GpbpIW2Vh+aiy8NPDnJDPzgZFIwak0ZCoovODtnLJB4UNhqD+sPHUaMVZI9G2dagN9aE8E7zhqEYPTGbhto2bEtOBvEQ2cTv+Na9ZF8+BTshtWf38sGybY1pGkyals3hfXUxqO0HT8nW48xdMg6P14XWekgDA8q2cLtN5k8yKSkNENJG953rZZAh1tpb/ewprmTqrLyhb66pNaAZXZhAUW6QAzVO2Vwzjo6VNlJ+rJnR49K7N9ccwvduW2CYOFrryHjz91TsfZPagtGk33wrycuvxHBHeXuKbkM9ZsSLBpBrXuLmvEhohqqrqwuXy3XG4263G7/fP+Ryg8Eg+/btG07VzmTbqIP7UO+9iXHkMNowULaNGWpn/N+/RyAlh7r5H6J+3i3YLm/4Pf101MjBp7mxk5Kt5ZTuq8GSQDjmIifbAlXLdcZGFrbsxfF3m5bsaRyf9SHqxq0A9ICS00gbVh9vZP/OcmoqmmNefxFuQ41iQUIZq1N2UtRShX7OpKFwESeKbqQ9c1LPSfpcIoMJlqXZt6uakm0VNDeeea2f6NvhPVUc2VfN2MnZTJ83mvSspIEFVdoGwLQCjDn+GuPLXuTGUB3thW7eaJ/O861zaLYSJTCOMdvWvPPKYba8c4zpc/OZtWAU3gQX2tao/pIbbYEycfsaGXf0ZQrK3+HmXB+VaSk8Xz+N1xqnENKmJKcx1tbi5+//W0JGVgJzFhYwdVYuylAoNYCVB3YIDAfe8r1kbPgzyQffQ3X3zUBlOTX/8xNqfvMweuly7MWXQsqZlw4MV18xoLg4XdAJjcfjIRA4czbC7/fj9XqHXK7T6WTSpEnDqVoPu6uL1jdfo2ndk4RqqqH7RK1su9frXK21FLz5S/Le+x2NM1dRu/hjBNJH9RlU2baNUoryo02UbC2n6kRzVOoqzi0SBM9VB7jG3MREVd4r50yt28es13+IL/FXlE+/iYppN2I5EwDda8Q/EgTblk3pvmoO7qqgrUWC4NgLf+9uFeLq5D1cl7yLHGdbz7NKW2Sf2Ej2iY20ZkyiougG6kYvDY8gn9EHwzNqnR0Bdm6pYN/Oavz+UFw/zQeFbWvKDtRSdqCW7PxUps8rpHB8ZvhrPz0o7g6CPb4GJpY+R2H5mzhDJ/tOkunnxtQd3JBSzJbOCTzXOo/D/lxJbGLM1xVk+4bjFG86wcSp2cxdXEhmTlJPPzlVZBY7rbmUcWUvkV1bjDplN+hR7lY+V7CJj+fu4LWmKTxbN4OmUAIKLdcPxFBjfSdvvHSIDW8dZca8POYsLCAh8Swzp7YFWpOy+zUyNv0Nb/WhM8pTkSVnvi7UW69hvPUayZddQdqNa/FMnByVOh8+fDgq5cRSLP5mpRf07YJOaPLy8mhubiYQCPTK0mtra8nNzR1yuUopEhIShl2/pjdepfyn/4Xd1XlytuW0ROZ0ZtBH9o5nyNrxd1onXELt4o/SPm4B2rZBKSzL5kBJNXu2V9DaLEFwrKnuJMZFkCuMbVxpbiVLtZzzPZ6OOiZteZTxOx6navLVnJj1YbpSRqFtG2UY+DoD7N9ZTum+aoISBMdcZGlglqONNSnFXJ60H68RPOd7UhoPk7Lhp0wo/iOVk66jcvK1WA4vttYYhkFdTRvFm8s5cqAeWSoePXVVLbxV1UJSioei2QVMnpGP6TDCo76GSUbjQSYceZbcmm29guDTmUqzJLGUJYmlHPbn8ELLHDZ2Tuq+qBYkJIgN29Yc2lvLob215BWmMGdhIeMmZ4LW4RF/rcmr2sDYo6+S0nb8nGUlOQLckr2bG7P2sKllDOvqZ3KwM0cSmxjzdQXZ9v4JdmwsZ9K0bOZdUkh2bhLatlDKwPC1k7HlKdK2PoOzfYBbZHTHPW3vvUXb26+TOHMO4+/7EaZn6APPINeuit4u6IRmwYIF2LbNtm3bWLp0KQBlZWXU1NSwaNGiEa4dtG58D9vXnXQMMupRaFKPbCT1yEa6ssbz7Lx/p7ENDuyuIuC3YlBb0Zflxg5GqTqWGbvwqMFdm2SGfBTue46Cfc9zpOAK1o+9k+oTjZQfkSA4XnIdzczwVDA/4Sjzvccw1OC+eHdXI+NL/pcxe5/izbyPsj9hLgd211Jb1db/m8WQtbf62PZuKbs2HeWW+QGmZPoZU/46qa3HBl3WJHctd+W8yidD73Nf9c1UhdKiX2FxhuryVqrL95Kc6uGLl3eQY7ZQeOIN3IHWQZVjKs2lace4NO0Yhzqz+JfDq5GENPZsW3NwTy0H99QyqiCJT08/gbdyPyklr2FYQ7xO1wrHLh27dxKsq8UcPTaKNT4/xWLfGPnr79sFndDk5uayevVq7r77bu6//368Xi/33HMPixcvZu7cuSNdvajx1pex8429NKuUka7KRec2cz3eQSYyp1NoksuL2VJ2MEq1EgOVaAT4fNabwy7HtPxY+7bzbmOSjA7HUTBoEdy/g+lpWzDVuWe3+5Pp6KDA2SQJTZy1tfhI3fMyExNrhl3W5IR6TKUJyYBQXFWXt5B/9KGRrsYFaXhHrb7J4tm+XfDfy7333svSpUv58pe/zGc+8xkmTJjAT3/605GulhBCCCGEECIOzrsZmgceeKDPxy+55BIOHDhwxuMJCQncd9993HfffbGumhBCCCGEEAMSiyVnom8X/AyNEEIIIYQQ4uJ13s3QCCGEEEIIcWFTMbrmUmZ9+iIzNEIIIYQQQogLliQ0FwDb4WLMtFHkF0Z/l11xbpvt6RyxRw27nKA3nfFFeSQme6JQKzFQIW2wvm069aGk4ReWmc+kGXk4XWb/rxVRY6XlUZp1KUHDPaxybK1otoa/v5gYHGUoOvJnUJs5a9ij1Z2WE1uuSYg7l8dB/awb6MyeMNJVuaBowtfQRP1npD/YeUqWnMWQZ8x40K+Dafbcf30wgklZNCy4hfoFa1nqSQagoa6dnVvKKd1fi23Jn3Ws/dFaA8A4Vcm1xkbmGftxDOL2sS2Zkzk27UNUjb+CBYaJ1pqqYw0cLKmgvvrcG3SK4TsezOTXDVeisLkkoZTVKTuZ7Bn47WM1irpRizg25UaMzCIuBy69yuLArir27KigrcUXu8pfxJRS5I7OZGzRKHwZl/IOsNH6FFNr1jO95hWSAg0DLqvTdvFG2zReaJ1Dg5Ucu0qLXlxuB1Nn5zNjXiE1iSuoAbxddUw8/hKFVe/isPwDLqvan8QLDdN5taEIW8Zh4yY13cuMeQVMnpnHcccKAJKO7yBn859JLd1wzs1t+6QUaI2ZnIIjNS36FRYXNaW1bPF3qpKSEgBmzZoVlfK6Sg9R98xfaXr91fDmmnb/wXBn/lTqFn2Ylukrww8YJ0eEtdYopfB1BSnZVsHenZX4Os+967kYvshu8ym0c7W5iRXGDhJV38GsrQxqR1/K0ZkfpiV7Gsq20Ke0oW3bGIZBS2M7B3dVcKK0FtuWbhhrBjY2BhNctaxJ2cHixCNnTU5DDi8V41dyfNIa/AmZoG1QJwMp2w7vfH78SAO7t5ZTVS7JaTQ4XQ4KJuYyZko+bo+r53gXobQFKMY2bmFm9QvktB8+65h/dTCFl1tns759OkHt6A69ZHQ/1lIzEpg+t4ApM/IwDAXqlB3dtQ0oTMvP2Io3GFf+Ggm+vpNTrWFvRy7r6mewpXUMBlqSmTgpGJvOzAWFFI7L6Dlf9bAtMExcLVXkbP4zmSUvYga7zl2gYYBt4xpVQM6tHyP9quswPMNfrRDteC2aSkpK8AU1fs/EqJft9pXicarz8nOPJEloThOrDhJsaqThuWeoX/cUVltrz0hFhFYmLUWXUXfJx+kqmA52CIxzT6DZtkZrzaE9NZRsr6CxriOqdRZ9CS+aMLG4zChmpbmFfBU+IQediVRMXsXR6bfiT8w6Iwg+o6TuYM3vC3J4dwVH9lXh90lyGmuRxCbN7OD6lJ1clbSXJDM8WtyZmMuJSddTMe4qbNNJdzR21rIiJ/um+g52bT0hM6dDlJjsZcyUfEaNz0EZKpx2nON7V9pCK5PMjjJmVT3P+MbNGNoKB8G+UbzQOpdtXeMkCI6jSBBcMLaPILgPSltoFHl125lw/CXSW8LJadA2eLdlPOvqZnLMl4GhbGwtbRhrpsNg0rQcZi0YTWpGAratwwnp2ejwYJAR9JFVvI7sbU/hbq0+rdDw6pSk+YvI/tBHSZ6/ENXP38VgXAgJTZc7+gmN1y8JTV8koTlNrDuIHfDT/Obr1P7tf/EfP4o2ndQv+BB1l3yUUHJWz+jHoMrsPnkcPVzPu68dpqNt4FP5YugigfHshEoWzcuibcryAQXBfdG2RqPZX3yCAztPYIVisb+w6O1kcnrt+AamXjKZ1lFzUdruNaM2oJJOmTl9b/0hyg7WIQud+5ealczEGaPJzEtD2xp1rgCqD0rbaGXgDTZDydtsP2pQHszo6Zsi9ibPyGP2otGkpg8gCO5DJDlNaCyj7O3NvH08jTbLg0LH6A5R4lROp8nsxaOZNqcAlzt83FODPH9hW6AUaQffIfe935FYfwTlcJBxzfVk3XwbnrHjol9xJKE5Hz/3SJJraOLMcLnJuPZ60q9ZRceuYg68tpGqRf/n5GzNIAMpoGckrKm+U5KZOIoETPb0pTRPGzP4k8ApwqPSirrKZklm4ia8AjyEA/ey62nJTkQphVaD74ORtne5HZQdqItyPT+4Zl4yGW9i+GL/wSYzALp7BrRVJ/LmoSwiWaQkM/GRlOJm+bVFRMZFB5vMAD39bXdtAm+W5Z18XJKZuJgwNYe5l4wdXiHdcUvz5OUEkzO5VG8h76YP4UiRGxnJ33H8SEIzQpRSJM2ZR2buNDjIoEf0+6IJj3BquR4jrpRhhEeXzSi0oUyYjgjDNKKzFELab1AMQw1rICBC94wBSPAQT5G2i0obStcZEYahzrhWbRiFYY8eR8bCCTgS5I6CIr4koRFCCCGEECKadPi2zbEoV5xJ5uWFEEIIIYQQFyyZoRFCCCGEECLKZCll/MgMjRBCCCGEEOKCJTM0QgghhBBCRJEG7BjcqEQmffomCY0QQgghhBg+WWPVS0xuCiD6JEvORoi2LNo3vU3bEw93PzD8vUeM7tsHi/iyLWtIe2j0pb/dtUVshEIW2h5+H9RE5Q7sFw3bsqNyzFIqXIaSscu4srvbLhptaHZv/yRtGF+WZYf334pGImJbuKuP0f70YwTra4ZfnhCDINFTnFkd7TS/8DeOf/1T1P6/H5FQ8jqT33qQhKZj4RfY1qDLtG2NbWu8XgcJic4o11icjUJjYpN34h3GH38Jd6gt/MQgk1OtNVprgoEQaVlJGKZ0y3iIBE5euxP/Xx4hcfNzEArAEBKbSGDX0eZnzITMqNbzg6z43f1UHavDtvWQAiqlw8fLrFAtd4w/xDTnCQAMZHPaeOho8/PqMyXUVLUCJ/vBYKjuc9785Ao+Me4Auc5wWdKG8XF4Xw0b3jjcsyn3oJNTrUHbGFaAgsMvM23jT+l652Uqv/tFan9xP76Dey7q/dW0jv5PND388MPccccdvR67++67KSoq6vWzcuXKnudt2+anP/0py5cvZ+7cuXzuc5/jxIkT0a3YECh9Mf+l9aGkpASAWbNmRbXcQFU5ra+uo+2dV9Gh0Bl/lRpozZ1B5YxbaBx7Sfh54+w7lkeaLRiw2LOjkj07KuhoD0S1zuJMKrx9KUmmnxtz9rMq+yBpTh8AljI5lr6QPTnX0ZwwGqWtc+46r+3wRqjtLV0c2FXO8cM1WCE5iceagY2NQW6omsvb32ROVzFOQgBYCak0L1lL84qPYyVlhJObc8ya2baNYRhUHGuiZGs55Ucb4/UxPlBcHieFE/MYMyUPhzO8EvpcG/0pbaExKGjYxvQTz5LXtLtnpXp5KJNXuubxjm8mFqp7p26ZNou1jOwkZswrYOLUHFAK41yz1loDGsMOUXj8DcaWvURiRzUAtoZdnYU81zyHXV2je/qriC2lYPT4TGYtLCSvMK3n2HZW2gZl4OpqZPT+dYwqfRVnsKP3awwDbBtn4ThSrrmZxEWXoRzRG3SNVbwWDSUlJXQFNC2OoqiXnRo6gNelhv25H3/8ce677z4WLlzIY4891vP4hz/8YS699FJuv/32nsdM0yQjIwOAn//85/zxj3/kgQceIC8vjx//+MeUl5fz7LPP4nK5hlWn4ZCE5jTR7CBaa7r2FNPy0tN07d7e07n740vKpWr6jVQXrcJ2uADVs47FtjWGoWhp7GTnlnIO7a0hJEFwzBnKxtYGYzzNrM3bw/L0oziNvr93DdQlTmJvzjWcSJsbToJOSWwiJ4qa8iYOlpRTU94Up09xcTO0hY3BNP8+VnS8xYRA6VnDXG06aJt9NU1X3oF/1BSwQ2CcvORQ2xpbaw7urmbPjgqaGzrj8yE+4AxDkTc2m3FTR5GYktCT9AM9QbBph5hc+SpTy18kpavqrGW12R7e8M3m5c4FtOqEnsEIEVveBCdTZ49i+rwCXO7TktPuINjta2Rc6QsUnnjzzCD4FOWBdF5onsmbbVOxtCSn8ZKRnciMeYVMmnZmcqpsC22YpDQcZMy+Z8gq34jR36oEpUBrjKQUkleuJvnyVZjJqcOu54WQ0DQ7pka97LTQ/mElNDU1Ndxzzz1s2rSJvLw8srKyehIarTXz58/nRz/6Eddcc80Z7w0EAixZsoRvfvObfOITnwCgtbWV5cuX88Mf/pA1a9YM/YMNk9wUIIYa//xbWl566uQI7wCXsnjaaxi/+RFG73ic2slXUzFzLYGkHAAqjjexa0s55UclCI4fzYKUCm7O3cfMpJp+r5FQQE7HYXLKDtPmyuJA9pUczLocy3RjWTZHD1ZzeHclbc0SBMec1qAUTh1gcecmlnW8S5bV0O/blBUiZcdLJO94Cd+42TSt+CRtM69AGQZdnQF2bytnf0kV/q5QHD7ExcO2NZVltVSW1ZKek8LYolFk5aejlMIbaGT68WeZXLUeV6j/vpNs+LgpYTM3eLeyxT+F57sWciyUG4dPcXHr6gyyY+Mxdm05zviiHGYvHE1aZiIAqc2ljC99jpzqrf0HwUChq4nP57zDxzM3s751Gs83z6bFSoj1R7joNdZ18M4rB9jy7hGmzR7FjHkFuL1OsC2yT7zHmP3PktJ4aOAFdo+b2+2ttDz7J1pffJKC//gVZkpabD6AOKc9e/bgdDpZt24dv/jFL6ioqOh57vjx43R2djJhwoQ+37t//346OjpYunRpz2MpKSlMnz6dLVu2SELzQRVqrAuPTAzxYmNHsItRe58lf9/z3J/0r9S0mjQ3ShAcT/8y4Q3GJTST724f0vuTA/UsrPgruWVv8MPW22mobiHglyA4XkYFK7im/VUmBErxat+g368A79FdeI/uYuOoNWweu5bK481DulZADE5TbStNta2szj7AZenljGreNaAg+HQOZbPUs58l7v38sPkjHAgVIqP8sWdZmsN7azi8t4bvzN7JBGc1qS1lQyor2fRzS3oxa9J2cXvpZ7A5+1JeET2+7uR095YyHpz7LklNR/F09T8gdE5ao4MB7I72iyKhOR9PFStXrux1TcypDh48CMBjjz3G22+/jWEYrFixgq997WskJydTXR1eGpqfn9/rfTk5OT3PjRRJaC4AStvUHq+n2U4e6apcdOakVJNgDj8Bcdh+qo4N80QgBs1AM8O/Jypl2c2NlNuNchuzODM6msnXuzDU8JbWKgWJhj9KtRKD4WkoI9U7/GDHoWwMdX4GiR9ktqXJqtw20tUQp6iqquKrX/3qWZ9fv379kMo9ePAghmGQk5PDL3/5S44fP86PfvQjDh06xO9//3u6uroAzrhWxu1209LSMqTfGS2S0AghhBBCCBFVKkb70MRuUO3//J//wyc+8QnS09MBmDJlCtnZ2XzkIx+hpKQEj8cDhK+lifwbwO/34/V6Y1avgZCERgghhBBCiCjSxGafUU14yddQZ2HOxTCMnmQmYvLkyQBUV1f3LDWrra1lzJgxPa+pra2lqCj6d3QbDLkXohBCCCGEEBe5b3/723zqU5/q9VjkbnKTJk1i6tSpJCUlsWnTpp7nW1tb2bt3L4sWLYpnVc8gMzRCCCGEEEJEmX2B3YDkuuuu45/+6Z/4+c9/zk033URZWRk/+MEPWLNmDRMnTgTg9ttv58EHHyQjI4OCggJ+/OMfk5eXx7XXXjuidZeERgghhBBCiIvcVVddxU9+8hN+9atf8etf/5rk5GRuvPHGXjcguOuuuwiFQtx99934fD4WLVrEo48+itMZvU1Th0ISmliLwvpJV042dy1spaItyLpdKdS2S7PFy/89eiljvC1cn32QDGfX0AoxDBLH5PPvM7rYfsTktZ1OfMELa9TmQtVuJPK79E8xzbeX+V3bcTK0O9aZyYnMXzmR6WMCvLbTwZZDhmzSGAfpKYo5l0/BmVOI3rUVffTwkMs6EcriWCg7irUTAzGhwKDgqkswaMPeUwwtjUMqx9ZQ3DkGKyYXWYuzMZTm0kl+UuZfRrChEd+hw+hAYKSrdcE437euf+CBB8547Prrr+f6668/63tM0+Rb3/oW3/rWt2JZtUFTWp/vX3d8RXPn2Y7izdT/7udYzY2gjPAuyQNlGHjHjSZp2hScaanYdniXawW8U5rA33aksq/a028xYnjCe1OHu8iKjDJuyt3PxIQBnpBdbowx4zHHTUS5XNg63IJdAXh+m5Nntzipa5XL2GLqlMObV3dxacd7LO18nxS7bUBv9xTkkrlyKemXzAVDYaMwDUV1k+KpDQ5eLTYlOY2BCYUmN6zwsnSeq3tveI0yDHRDHdbmd9B7iiHUf3Jqa9gZmMCLXQvYFxyDwkbLpaMxZyhYPMPk5hVOisaa2LbuaUO7/Gg4Oa04NqCyfLaDt9qKeLZ5DrXBFBRaBhPiIMFls2pWF7cu6iQ72UbbOnxzLdvGV3qErv0HsFpbB1eoYYDWJMxfStanv4pyuvp/zzlEM16LtpKSEjoDUMu0qJedwz4SXOfn5x5JktCcJtodRFsWHds30PLS0/hLD4Bhgm2d9fWGx03i5IkkFk3EcLvRWqNO2/fCssE04ECNi79uT+Wd0kQsWw7wsWZgY2MwNamWW3L2sjitHFOd2X1UcgrGuEkYBaNBqTPaD8JtqID39ps8vcnFvnID2ewv9pS2UWjmdBWzvONtCkMVfbxIkTxzMlnXXEbSlPFoy0aZvYPgyLndF4Dntzl4drNJbYsEysNhGLBwhosbr/QweawTy9KY5ml9Quvw8ILfh71tI/aOjdB+ZnLq007e8c3gxc6F1NmpPX1XxFaCB65a5ODGy5xkpRnYdrhde+l+UDc3YpdsRR/aB9aZyWl9MImXWmbySst0fNqJAklk4iA/LcQt8zu5fnYXLkf4OHf6KUzbNsowCFRW0blvP8Gqqn7LVS43yZevIvnKG3Bk5Ualrud9QuOHGqZHvexc9pLgPj8/90iShOY0sewgviMHaHnl73Rsfjf8gH1yxsaRnkpS0WS848ecNQg+XeRk0dhh8lRxCs/vTqbNLzsox5qBxkaR6ezg5tx9XJ11mEQziMrJw5wwGSMjq+eA359IcnqoyuDJDU7e3eeQ5DQODG1hK5OxgaOs6HiTGb49ONxO0pfOI+vqZbiy0gfVhkrB+/sMntrgkOR0kBI8iisvcbP6cg8ZqeHRfMPo//vT3cdPvXcX1pZ3oaaSeiuZV7vmsd43B78EwXGTl6lYvczJ1YscOB2glOp//9lIchrwo/cWY+/die5o55Avl+eaZ7OpY3x4QkAS0TjQzB4d5NaFHSyZGMDW4fNSv++yNcpQhFpb6dq3H9+RMrC6B2wNA2wbMzOHlGtuJunSlRie6O5TIgnN+fe5R5IkNKeJRwcJNdXTuv4FWtY/h7JDpC9fijs3e8AB1Om0Dl+qs7/axd3P5tHqk6QmPsKh0uwxQf7tQx0kJjv7nFEbiEhy+vQmJ4++5pKkJk4iS5A+sqCVO64B0xW+Pm0obWjZ4aU29/3Fyfv7TSSp6d9NKz3cdm0CDnOAQXAftG2hMfj5o7Vs2G9IEBxHDhO+8Qk3i2eY2DZnzqgNkLZtaptsfvxoK0ca3DKjFkejM0LcfVML47NDPQNsgxUJI3UwSPv2HfgPl+KeMoOUa27GO2vhkOKagbgQEpoqHf2EJl9JQtMXubp8BDjSs8i47R9Iu/EjtLz1PG4VXjIx1E6vVDh0Ki730uaTk0D8hK+uWTBZ400M391jKIEwnFyW8d4+U5KZOIpcT3HlYhcO9/DGdkwDQha8v18OqwN13TIPLufw/t6VYdLWbvd87zJCFz9ZaYpLZoa/d3MY42jKMNh/3OZIgxuQhDSe5o4JMC4rvORvKMkMnDzvKZcL98xZJHzoc6RMmhqtKl7QYjJlICFCn+SoMYIMtwf3zPnRLVNadETYUTtoyZFqJAwxDxXDJV+8ECMumjG3lZKOY9SY/l8oRJTJUKIQQgghhBBRpInNNXwyC903Gc8XQgghhBBCXLBkhkYIIYQQQogoi95ydNEfmaERQgghhBBCXLBkhkYIIYQQQogok41R4kdmaEaYDgWjW550ngucNOCIkK99ZMgBS4gRF83L1g1O7ksjRDxJQjNCrI5mfIe3o0/s6b4TxvDYGnJTQthaboMaT4aC6iYDRxT2MrVsyE+XE0G8GQZUNob7zXC/fQ1kJEWjR18cahpsAOxhLjT3uCDRK8e+eGvv0nT5Nbath52bZqWFN1aVrQfiq6bVRKnw+Wc4Is1vOp10VJbS2ViLtq1h1+9Cp3X0f0Tf5NARR1prQo2VdO5+h66StwnVV4BpYiWmoV0edPdGjYP5e40chI7Uu9h0NAFTyV97PJhG+HueMirEvPFBbMse8tHGssMJ6caDJpWNBhIMx4ehwj/LZimSM70EnV60Cmemg2kBrcPt1xWAdZsdOEyN7Cc0MD/8ZSs/+UMbR8rDG/tZ1iD/9rv7nNup+X//msSnb/aQnR7+7iUwjr32Tvj8f3Ty2IsBmtoiyengy9HAtAkOfvHPiay+zIXbFd16irPbfMTNnY9k8myxF38wfCwbzGks8lLL6aUzJQ9fcg46FKSt5gR1h3bRVluOFQzEpO4XAlurqP+Iviktc4O9lJSUADBr1qyolalDQYJ1xwlWlaIDvnO8UKNCAQy/D6UtzhUWWXZ4T7p3DyfwZHEqe6rc53i1iBajO2FcMT3I2ksCFI3qffYOP3tKO5xl48BIr/MF4YVtTtZtcVLbIhFYrCnCbZTghhuWGtywxCAztXcbKdvCCPkx7FDPe/pi2eGdtWua4akNTl4tNukKSB8cqkljHFy/3MOSueFo1jT6+S61xtA2CrtXG1m2Zvu+EOveCrCvzMIwhhZki8ExDLhkhsnNK5xMGWNiWRrTPHcbakCr7uPeKcfKLp/mzW1B1r3lp65JYyi5W1Q8JLptVs3q4tZFnWQl2dh23wMDpzZF0J1MMCEN23HuLNSdnE5CZg4ub1LU6huLeC1aSkpK6PDD0cDMqJc9zrWbRPf5+blHkiQ0p4lmB7EDXQQrSwnWHoPBTL1qjbJCqIAPwwr2JDa2Dv+3K6h4riSFZ3YlU9vmHHY9xbmFg2BNohtuXBjgxoUBMpPP3W1OPqt6nahPBsGKpzY6eXWnU4LgOIgEtaMy4ZYVJlfMVbhd/QXMNmYogGEFehIhxck2LDlm8OT7DrYcMmTULIoyUg2uXebh2mVuvO7w96rUKS2g7e5Epv8t645WWjz/jp+3t4cGPfIshm5SocGNlzm5dE54xtM01Gmzngqt1FkHfCJsW7N9fzg53XtEktN4MZRm2WQ/ty3qYNqoUM8xrycWUQZBbxpBbwraGNx6a4cngcTMPNzJad39eujO94Sm3Re7hCbJc35+7pEkCc1potlBfIe3E6ovH14htoUR8BHqCtDYafLX7am8si+JrqCM5seDw9DkptnctiTAlbOCeAaZP0Y6lz+kcDoUu48ZPLXRxZbDpgTBceBxgS8A8yYrbr7MYO5kNfiTqNYYVpCudj9ep+b1XSZ/3+TgSI30wVhyOWH5Ajcfuz6B5ESFIpLIDF5zm80rG4I89bqfkCzrj5vMVMWqJQ5uudyJYXYnMfSfyPTlaKXF8+8GeGNLdG+kI85tSl6QWxd2cMU0P7bpIpCQRsidNKQ2PFXmxJk4XO5hlSEJzfn3uUeS3LY5lnQUhpIME9uTyKd+nUtdqzGAMUkRTU98tY1k79CP3ZG3NbbC53+ZSMiW9ounwmzFA180cTqG8b0rhe1wsX6fwW+eswlKG8ZFIAjrN/pJTdB85Fp3v8uXziUt2eAj17o5UhFi617JaOKloUXz+MtBpk50Mm2cMawgeNwoky99xMvb24LDvoBdDNzBaic/eiGNhcsTww8MM5HpcZGMpV8kH/O8IAnNBcLSA1lgIaLNYUbv+C3JzMgYVjLTi5I2HCFRa8FodWYxeFH67qUJR4h88eI8d16tmXj44Ye54447ej22b98+br/9dubOncvKlSv5wx/+0Ot527b56U9/yvLly5k7dy6f+9znOHHiRDyrLYQQQgghRC+2jv6P6Nt5k9A8/vjj/OQnP+n1WFNTE3feeSdjxozhySef5Etf+hIPPvggTz75ZM9r/ud//ocnnniCe++9lz/96U/Yts1nP/tZAoGL9zaBQgghhBBCXCxGfMlZTU0N99xzD5s2bWLcuHG9nvvLX/6C0+nkBz/4AQ6Hg4kTJ3Ls2DF+9atfceuttxIIBPjNb37DN7/5Ta644goA/vu//5vly5fzyiuvsGbNmvh/ICGEEEIIcdHTcvOfuBnxGZo9e/bgdDpZt24dc+bM6fXc1q1bWbx4MQ7HybxryZIlHD16lPr6evbv309HRwdLly7teT4lJYXp06ezZcuWuH0GIYQQQgghThXZbzuaP6JvIz5Ds3LlSlauXNnnc9XV1UyZMqXXYzk5OQBUVVVRXV0NQH5+/hmviTw3FFprOjs7h/z+CFvuDyqEEEII0UuXrwtzmLer01rLjT5EjxFPaM7F5/PhcvXefdbtDt+33O/309XVBdDna1paWob8e4PBIPv27Rvy+yPyQ60kM8w79GgbZYX4zZ211Lcb/HVLEq/v8xIISSeOh4/9dzIFGTa3Lglw+YwgzsHtIRbeh0YZpKa7+Pv3NcWl8PR7UFwK0bt3kzibinrN2n8NsnCq4pblBtPHDW0fGmVbrJgaZNUczas7DNZtNCivl/aLJYcJy+coblyicWsftmViGw5Qg19Y0NapeW1TgOIDoRjUVJxNaoJm9cIQczIbMTsUQWcCIad3SG1YUWvxwrsB2UcozsbkKdZc5jy5s3fEEBMJrcNvLS09ghWF2YbT47/zjVzEHz/ndULj8XjOuLjf7/cDkJCQgMfjASAQCPT8O/Iar9c75N/rdDqZNGnSkN8foQNd6Nqj0FQ5uHlCrcOJTCjYs5eN1wUF6RZfu7aFz1/eyrodiawrTqCxY5ARthiUQEhxtM7kwXVefvWam5sXBVg9P0ha4rnbUwPacGCbLjBM3Dp8Mpg7ERZMhop6eOpdzRs7keQ0hrrChwu2HtBs3mcxNg9uWW6yfLbq/3bOWqPsEIYVRAGpieHz+aoFNqsX2Ww/rHjqfYMdpd2bBYqoSE2CVZcY3HipQXKC6omjDG1hWBYaA9t0oOl/X5OKWovn3wnw+pbw3iWyXCM+xuXYrF0S4srZFqYCwwiPprsC7bgC7YScXoLOBLRx7hBEa82uQxbPvu2n+ICFMeKL5C8OSsH8IpObVjiZNdHEsnSvrqbhZGcaZGJjuly4UrKYnJgy7NmVw4cPD+v94oPlvE5o8vLyqK2t7fVY5P9zc3MJhUI9j40ZM6bXa4qKiob8e5VSJCQkDPn9PRISIC0THZxFsPYYwapSdOgcd1/TGmwLZYVQ2kbTO0wyuv8nyaP56CXtfPSSdt7Y5+Hp7UkcqhnkFvZiwCLH7dZOgz++7eZ/33Fz1awgt1wSYHxO7ylzDWjThW06e49Cdh+4ze6H8jPhyzfDndfB85s1z2+CxjYJimPF7m6m4zXwf/9q8ZvnYc2lBqsuMUhLOu171zaGFULZ4eNL5NnIfyNtOGeCZv4kK5ycvm/yxi6FPyhtOFTj8uDGZSZXzFMYCozuA17kuHfym7VxWAE0CstwoFXvzaK01uw8GA6Cdx4MB8G2bMQYcwrN4ik2H1oaYvY4G8s+2VfCz5/kCHbhCHZhmS6CzsTu4+XJV/iDmre3B3n2rQCVdXZPIiPtGFseF1y5wMFNK5zkZhg9G5ievqmtojupgQEnNq6kVBIzcnEmJEVtmdj5vtxME5tBFBmX6dt5ndAsWrSIP/3pT1iWhWmGZyI2btzI+PHjyczMJDk5maSkJDZt2tST0LS2trJ3715uv/32kax6L8rpwlUwGWf+REKNlQQrS7E7W+g5LGgNVgjVPRLc875zlBk5UVw5zcfVM3zsrXTyty2JvHfIIxtwxpDWipCG10qcvLzTxeyxIW5dEmDhZBscTrTRnVj2c6DtSU69cNvy8M/bJZpn3oPSKmm/WImcXNo64U/rbf7yus0V8xQ3LTMYn6tRVhCjj8GEvkT64KhM+PKNFndeA89vMXhuk0Fju7ThQBgKFk5V3LzcYOZ4A8sCs59J55MJpsZhB9EEsQ0HXSGTt3eEWPdmgKp6CYLjxePUXDPX4kOXhshL0yeD4HPMpvQMDlgBHFYAyzAJOROp7XDx8sYgL74XoNN38jAqbRhb2WmK6y91cN0SJx4XPTHEQNoQTpuxgZMNpxTetGwSMrJxuDwIEUvndUJz66238sgjj/Dd736Xz372s+zatYvf/e53fP/73wfCaydvv/12HnzwQTIyMigoKODHP/4xeXl5XHvttSNc+zMpw8CZVYgjswC7vYlAVSlWfQUq6As/P4QyIwecorwglxf5ePeQHDTiwereMX73cQd5WSYLZnJycfAgRdpwxSzYfRRKq6JXT3F2WoOl4c0dmkUT/EzK1D0jX4NpRXVKcvqhZTYvbpV1MQP173eazJt86kjw4MtQQNAf5J/+s4uWDgmC4ynJo/nNXT6SPCdHjc8VBJ8u0s8M26L0cDvf/p0LrVXPdQeyRDD25k4xuftONxowu0faBnsWOz25UaaDxMw8vGlZGEPp1B8g8jccP+d1QpOZmckjjzzCD3/4Q9auXUt2djbf/va3Wbt2bc9r7rrrLkKhEHfffTc+n49Fixbx6KOP4nSev0uwlFKYyRl4kzPo8KaijmwfdpmmAZXNJoaSi9DiydbhEfqQBQ5zeKPypgEnavt/nYguy4YxOeFOM9x5FQXUtcjszECNzul/JHgg/H5o6Qj/WwKI+En2apK7L1cdzl+9AqqbVM9AkYifvAyFUmBEaflWyIa0gkkkJiZGpTwhBuq8SmgeeOCBMx6bPXs2f/7zn8/6HtM0+da3vsW3vvWtWFYtZpTTHd3yei1uFRea83xJsBBRJX/uQoy8gSyxHShbn//XtsSNjtEAs8R4fZK1EUIIIYQQQogL1nk1QyOEEEIIIcQHgSyBjR9JaIQQQgghhIgyuTlJ/MiSMyGEEEIIIcQFS2ZohBBCCCGEiCLZWDO+ZIZmBGnbgtb6qJYpt2weGdG6qYs0n7iYyN+7ECMvmvckcyiNHfBFsUQhBkYSmhGgAz6CJ/bRteUFqC2LykndsmH26ACJLgkR4kkpTXEpBILD+95tHR7JWToNDCVtGC+RRPTdvWa4DRh6kG3Z4f1UFhfZwyjl4vLqFptgSGMPayRGk5QAl0wL/9sw5LuPl/pWxdbD4TDCGs61AloztcBiTJYFIG0YR3vLLKobwt/3cNsQrXFg4S/fT+vRvQTam9EX+VXx3V9LVH9E35S+2P/aTlNSUgLArFmzol623dFCsPIQVt3xM/8qtR2+emwQzWFrMBS0din+viORZ4sTaO68uHfljQelws2UlmBzy+IAN8wLkJyg0YYD2+ECwxF+wQCmbSJB8PFaeOpdeKsEgiG5h3+sGUa4u40bZXDTFW6WzHLiNDWOkA9H0IeBPeC9GSw73A+3HFI8/b7BrjI1wHcKgJREuG6RwY3LDFKTFLYdbp9+dR8rlR3CsIIobVHZoHh2k8lL202CIdDSDnExJtvm5ktCXDPHwjTCh74BzVpHznfaBtsCDbuOmTy1yc2mw47ujaKlDWNNKZg72eSm5Q7mTHFgWRpzMBtFa43SFgr7jB5nuDx4swpwp2WhjOjGJ7GM14arpKSE1i7Y1Rj9us3OKCHFe35+7pEkCc1pot1BtNbYTdUEKw5it9YTDnTO8ZVr3Z3YnH2oJBIEH6t38Jctiby530vQkoN+rJmGxrIVE3MtblvqZ/nUII4+js9amdgOF9rovkStjzN7TxB8EJ5+D0rKQILg2DNUuPctnungxhVupow1z9wETmtMK4Aj1IVph/pMbHT3bE4wBK9sN1i30aCyUdpvOBwmLJulWLvcYPwoA8sCs6/4p/uUZVhBDCuA6uN42t4Fr+wweXqDg4Y21R0Yx/gDCFK8musXhLhlSYi0RM6dnGrdncScGQQDVDYaPLPFxUvFLklO46gwR7HmMidXLnB0J6eqj1NY91FR2xjaYiCtowwTT2Y+now8DKcrKnW9EBKa4obo121upiQ0fZGE5jTR7CBWUzWB0h1ofyf9JjKn0/rkrA0nlyQZCjYdcfO3rYnsOuFCguDYUuieGZllU4N86JIA0wqsAY0+alQ4sTFdPf8fCYJf3grPbUSC4DjyuOCapS6uX+YmO31gq20NKxhObKwARPqgAQ2t8PQGg1e2G3T4pA2jbdpYxc2XGVwyPdxnDNW9+7i2MUIBDDs4sNkzCzYcMHjqfQf7yw1JbOLEYWgum25x26UhJuZrbPuUWRvbBm2FR/UHUFa7D17e6eKpTW4a2ozBnknFECUlwLWLnaxZ7iQtSaF7tZeNoe0+BxMGwpWWTdKoiagBTcWenSQ059/nHkmS0Jwmmh3Ef2ATVn358ArpXjS5pdSkvNHB33ckUtksN6eLlwUTgozLsblpoZ/c1KF1FQ00+VyU1nvYfghe2Y4EwXGSmaYYlW2waIaTKxa68LqH9r0r2+L4sQ5aWoK8tsNgw36FbUsbxlpOGnz9wzBtLJh2EGVbQx7COVihuO/PTupb5dLR+NFMH23zbx/2kZYYXn0w1CDYsmHDQQc/fDJBZmviyDRg2RyTr37UFR7g00Pvg6dKmzwX050wrDLO+4SmE3Y0zIx62fMyd5OScH5+7pEkkfH5rntY679fSaO+Ta6PibfvfqiTBPfwylCArzPEv/1eTsLxlppk8O+fTxp2Odow2Vvl5tGntYwOx1FtM2zfH2J6XojhLr+fUqCZlK+pb41K1cSAKPaeMKmo06R7rWGVZBpw2dQQDhOCwytKDIJlw3s7Lb7xkdBIV+WCJFMG8SNDVUIIIYQQQogLlszQCCGEEEIIEWX2cG6FLQZFZmiEEEIIIYQQFyxJaIQQQgghhIgiTWw21ozmZTkPP/wwd9xxR6/H9u3bx+23387cuXNZuXIlf/jDH3o9b9s2P/3pT1m+fDlz587lc5/7HCdOnIhirYZGEhohhBBCCCEuIo8//jg/+clPej3W1NTEnXfeyZgxY3jyySf50pe+xIMPPsiTTz7Z85r/+Z//4YknnuDee+/lT3/6E7Zt89nPfpZAIBDnT9CbJDQXAq0pyguQlyp3GYm3PSdM6lqHf3cyhWbBhCAJbrnlSTzZtqb4QJAu//C/d4/DYvbYIIaSNoynBK8C0xGVUckOXxQKEYOk8TqsqFxMYNmyj9BIMA2NskPn3PBb9M3W0f8ZrpqaGr74xS/y4IMPMm7cuF7P/eUvf8HpdPKDH/yAiRMncuutt/KpT32KX/3qVwAEAgF+85vfcNddd3HFFVcwdepU/vu//5vq6mpeeeWV4VduGOSmADGknJ7IvxjSJOEpm2vec3MzWsPG0vCmmiXlsqlmPPzbn5NQSnPZKZtqDkVeuuaHH+/EH4QXd7j4+xYXVc1yG+5YO1Zp88NHOvG44dolLlYNYlPNCCPkx+VrZs3EDm6cBPVtiic3eXlpl5tOv4wJxcrUsQY3LnewdKaBpRSWbeEI+TEs/6COfJYNG/cbPNm9uaaID9PQrJjSxYcXdjA5IwgB0MrAdjjBMBnQ7sTdOk7ZXNOS/Z/iJsmruX6BxS1LQjiC3UuoDAeW6WJY91FXCmVI+DlS9uzZg9PpZN26dfziF7+goqKi57mtW7eyePFiHI6T7bNkyRIefvhh6uvrqayspKOjg6VLl/Y8n5KSwvTp09myZQtr1qyJ62c5lfxFxZBz/GyMtGxCFYewW+sZcGKjdfduyr1HQ5SCxRP8LJ3kp6zOwd+2JvLmfi9BSw7wsaS14v0DTt7Z52JyXohblwS4bGoQxyCO55Fzt9sJNy4McPOiAJsOOXhqk5tdx00kOY2NSG/z+eG5twM8+3aAS2Y5WLPczZSxZnj3+T7fqHEEO3B1teCw/GhOtmFmkuZzV3Xyqcs7eXGnh79v9VDZJMlpNDhML7LTlQAAaEJJREFUWDrL5JYVDiYUGFi2PtlGhknI6QWnFzPkx7T8qHOMGHf44OXtJs9sdFDfqjCki8VFssdm9ewO1s7vICPR7j2irG3MoB+tFNp0ok3HORObyiaDdVtcvFjsIhBENtSMk9FZNjddYnHNPAuHcbKJFIAdwmmHsJWJbbrQg0hOlWHiyczDnZGH4XTFrP7nk1jtQ1NVVcVXv/rVsz6/fv36sz63cuVKVq5c2edz1dXVTJkypddjOTk5Pb+zuroagPz8/DNeE3lupEhCE0NKKRwZo3BkjMLuaCZYeRir7vjZ/8K7Z2PO1QPM7gHGsVkhvnV9C5+/opVntify/M4EmjslqIqVyKhgaY2DB55xkJ5os3axn+vnBUn2Du6IFWnDRZNCLJkS4midwZMb3by5xynJaQxFAqvNu0Ns3BViQoHBjZe7WTLbicPs/t5tG5e/FZevBUNbPQnRqa2iVPj/3U64cb6Pmxf42HTYyVObvew87kCS08FLToBrFju4cbmDtCTVszrJPD0L6Q6cLIcby+HGsIKYlg9ln9y9vKpR8fdNJi9tMwmGTgbBslQptsZkBFk7v4NrZ3TiME/2glObMPJPpTWEAqhQAG060KYTjPCBUWsoOW7y5CY3mw45MBTYWvpU7GnmT7RZuzTEgkkayz55rjrVyTa0cIS60ChshwvbcJ41sTFcHrxZBbjTslDD3SH3QqJBx+LAE8Njmc/nw+XqnWy63eHdxf1+P11dXQB9vqalpSV2FRsASWjixEhMwz15IXrsTELVZQSrDkMocPK2FfbgljJFThKpXs0dS9v55JJ2Xirx8tj7yTRJYhMzkWNTU4fBb9/08NjbHlbP9/PxywKkJgwtsRmTZfONG7v43NU+/vddF89tc0tiE0ORYLms0ub/PtHF79b5+MhKg+vn+EgItXHq2aK/VuhJTicGWTI5yLF6k0df97KpVJaEDkR+puLmyx2sXGBiGvTMxhj9rQzrfp1tOrEdLpQdYn+pj6fehs0HDQwDbFmaFBfzxvj5yKJ2Fo7znzUI7ktP61ghlBXCwuS1/Yk8udnL0ToT09CAkkQ0xkxDc808i1uXWhRkhROZ8OPnfl9PYoPGCPkx8If7o+kCFX6zMykNT+YonEmpZ58NF0OSn59/zlmYofJ4PGdc3O/3+wFISEjA4wlfShEIBHr+HXmN1+uNen0GQxKaOFMuD84x03AUTsGqLydwdDd0tQ2rTMMI392hK2jQ1ClrxONFa0XQgmSvJmWQszSniiSnKV7NsTqT0NAu0xGDFJkIbWnXzEpvwBu0BrOsv5fIyX9UusXWMtdQr5q76Nx9p4vcTHXmTMxAdTdYu9/kXx4xu2/YoGQzuzjJSrL40YcbBhwE9yXS8u8fdPJfzyf19EG5ViY+Vs6xuOvGUM/xcDhtaFhBlG1D1miSc0djuhOiVs8L1YWWkOfl5VFbW9vrscj/5+bmEgqFeh4bM2ZMr9cUFRXFr6J9kOh3hCjDxJEzFkbPiFqZIWtoByMxPE6TnhP6cPlDStaJjwCPk6hcY6EIB2LShgPjdg0jmTlFZBBAlibFl8sRjtaicd6JzErH6poD0TeXIxx0R2MCRQF+rXBlSTJzoVq0aBHbtm3Dsk6OrG7cuJHx48eTmZnJ1KlTSUpKYtOmTT3Pt7a2snfvXhYtWjQSVe4h4e9Ik2lYIYQQQogPlAthY83T3XrrrbS3t/Pd736Xw4cP89RTT/G73/2OL3zhC0D42pnbb7+dBx98kPXr17N//36+9rWvkZeXx7XXXhvDmvVPlpwJIYQQQghxkcvMzOSRRx7hhz/8IWvXriU7O5tvf/vbrF27tuc1d911F6FQiLvvvhufz8eiRYt49NFHcTqdI1hzSWiEEEIIIYSIOvs8v4jmgQceOOOx2bNn8+c///ms7zFNk29961t861vfimXVBk2WnAkhhBBCCCEuWDJDI4QQQgghRJTJTS7iRxIaIYQQQgghokwSmviRJWcjqHP/Xhr/9r9RK08pZP+FEWBruve/GD5ThTcqE/EVsqOz1llJ+w1KyNJR+d5PbsQp3308Rc430QjapN+MDNuOzi3rAbTWOOqq6Hr7JeyuzugUKsQASUITZzoUovmt1zn81S9S+s0v0fTa6zS8vZlQZ1f4+SGcGSJ7oEzIDpKdLLsyxotB+Lsu2VzDiW1HsEMW2raH3IaWDfPGB3GP7I1CLioKGxOLd9+qo6u6HgA9hFGByO00fQHFiml+VJQS3A+6X/wtyL5j4e/bsgb/nUX6WqLq4guzS8k1mgEwkJGdeKhuNfnpa6nUtprA0PbjivS3eckVXJ+wA7fd1Z0hSR+Kh7f3mDz5vklX4ORxbLAi573QieP43n+HznVPUPmdz9L0198QqquOfqUvFBpsraP+I12jb0oPJfr6ACspKQFg1qxZUS031NZK40vP0fD3vxFqbgoPKZ4aOBkGSUUTSFs8B3dOFtq2Uca5883IyeOt/R6e2p7IwWpXVOss+qa0jYFmYWgHlwffp8AOH7DNBC+pi+eQvmwRjqQEtK1R5xj6ivS8Tj88u83Ns9tcNLTJGEOsKTQaRZLhY1XKLq5O3k2aGR5QMFJS8BRNwTV+fM+wvzrHXlGWHd5UsKLJ4G8bvazf7cYfkr2lBmtcvuLG5Q5WzDVRin4324wcH626Wvwb3yewZzdY4d3Od1vjedm/iD3WeAxsbBm3izlDaS6Z4Oe2he3MLgz09Itz0VZ4aqBl7xFq39hK26HjAASUkx0JC3k75UoanNnShnHidWmunmvxoUtD5KbRbxv2hI6WReDAfgJ7d2O3tvZ+UXec45m1kOSrbsI9efo5j6eDFat4LRpKSkpoboc3j06LetlXjNtHWtL5+blHkiQ0p4l2B/GdOEbDuqdoeu1FdCg0oOEPT0EeqQtnkTh5PGjdK7HpCYIDir/vSODZ4kQa2s2o1FWcXSQITtQdrAhsYFloE8m6o+8XmwbJs6aSsXwxnlG5ZySnPUFwo8HfNrp5vcQpQXAcRAKjQmcDN6bu4NLEQzhV30PKyuXCPWki7qIiDI8HrXWvE3GkDbeXOXlys4dtR5xopA2HKy0JrlviYPUyB8kJqns558nntW2DUoQOH8S/aQOhY0fPWlaFlclrgQW8G5yFhdHdPtJGsTYxO8ja+e1cNa2rOzk9+ZzuHl3WoRD1G3ZR+852/HXNfZajgUOeIt5JvoJD3qn/f3v3HV91dT9+/PW5I7nZe5GEFQgbwkYEhLgRkaE46q6jttbZ2lrb+sVWravW1vZXUSlSrZMhCk5EnIDsIISRRfbe647P+f1xkysZQMbNTYLv5+ORVu793HPP53Pu5/M573PO5xwMyoGuyb2upxk0xZThOktm2hk/WLUJbJqvhXptLY0HUrAeSQWr9TSJOgMb04CBBJ63EN/Js9DcsGZJfwhotqS7P6CZN1QCmvZIQNOKO0+Q4ndep2DVCjAYQe/8UDBTUABBE8cQOGE0Bi/nyZ9TbuSd7/zZfNBHKsEeFKMXkGz9kkn2/ZjoeFn6DIolZNZU/EcnunprdqUbWbvdm13pJqSC1dMUzmOsmOyTyfzAvYy25NHhRkKDAXN8PJZRIzGFhABgs8PHKd6s/87C8VKZV6UnmE0wO8nIojkm4qOctSlls2Hdu5vG77ajl5d1OK0a3cJW2wQ+tk6lSvn1VJZFK8G+DhZMqGPxxBoCfZzVDGtlDYVbvqN0WwqO+sYOp1VkiuTrgDns9J+GQ5MxuZ4yJErnshl2ksfrmJpiSXtREY0p+5yNCZ2tPmoaKIUhIIjoPz6H0S+gW/mTgKbv7XdvkoCmFXeeIMefeITKrz7v9hOTmtnMRyN/xvFqf3ZleSGVYM9Z0vAeA1QBwxwZ3TrqVSED2TnhJvZkmjheIq2MnhJvLiU54CATfbKINld2K63dPtP43jKWL1K9qa6XITCecsuIVOZG5WA/9D2qsaHL6diVgUdrf0KmHoNcQz3HbFQ8HPku4fV5VBw45pxFpYvqDL78KfYRlPTUeFSYn50VZ3+Oo7gYR0mxW9KM/uNzmKPjupVGXw9oymtgS9pIt6c9LyGVEAlo2pDmxX5A2WxsOWCmAu/ezsqPznT7bix0vCXxZBoranh3p5Sfp5k1BxcH7ndLWiWFdWwqs8jQMg/LzyinIW8PxpMMD+wok6YTYqghU+YL8CibQyN7bzamxvRup+Wr12FAx4EENJ5UUathPXSwt7MhxClJQCOEEEIIIYSbyVIaniMBjRBCCCGEEG6lurSMQ0fSlWGzbclAcCGEEEIIIUS/JT00QgghhBBCuFk35sAQnSQ9NEIIIYQQQoh+SwKafqAuKJbh00YybEwMJpMUmSdt8jqPb01TsHajM1MB9QPHMWV2ArGDw9yXOXFadboXq0pns68+vluzpzsMJhxDxjPx7ASCw2QtE08xGg0Yhk8gdfwNVAfEdyutKt2XAj3UTTkTHeXj54V17hUUn3MDdt+gbqVVYI5Bl2qLx4VGBnBo3I3kxc1C12RgT4cpULpy+x/S69Mu+WX2oIDJ06ja/jXKZuv0WjQKqIidSPaEKygbOJ0hSjFE0xg/fQhpB/M5eiCPupruTycsTu0L81koNN71vpjZtm3Msm0jSFV36LO60YvS0edRMP0aGsKHMELXGTkhjpqqBg7uySY9tQC7TaZA6UkF9mA+qg7kw+rxxJjLWRC4l9l+h/EydGxx1EavILIGnU/GkItxeAUwUtcZPTGewtwKDu7JITeztIf34MfJ4utFwugBDB09AJPZSLrSSR91OREFuxl6eB0Rhbs7/EhstiOCjxun8K19jFSGPSg0wp+RSXEMGhZJI9MpAAovuIOQnRsI+/p1LEUZHUpHR+OwZRRfBs4j3TKs2+u6iY7RNIhPCGfspDgiYoLI0nUwGEhtqGBQ2kbiMz7Gy1rTuUQNBtB1zIMSMAZL455wL1lYsxV3L9TkqKmh7JNNlKx/G3tpieuEPun2RjNFw84lO2kZdaGD0XQHytByzn1dd66EkZNRwuH9uZQWVrklr+LUNKWjoZho388829fE63ntbmfzDaFo0mIKJ1+OwycIlA7aDxWp5lPObnNw9Pt8Du/PpbZagtOepqFQgK/BygUBKVwQkEKoqa7dbasCBpE+dD65sbNRmqFF+YGz1U0zaNRUNXBobzZphwqx2zoWJImTCwn3Z9jYOGKHRqABmqFl2KIpB0oz4ledS8LhtcRmbcHkaHvu6Ar22xP40DqNw46BGNAlmPEATYO4oeGMToojPDoIXdcxGFodd4cdjCb8j2wj/MtX8T/yTbvBaaPmxS6/aXwZOJdyU5iUoYeYvYwMHxPDmElx+Pp7o5RC004oIaUAhaY7iD2+hcHHNuJfnXPqRA0GUAqfpOkEJF+K19ARLdPsoj6/sGa14sNDI9ye9kWjDhMSoPXJ/e5NEtC00lMniHI4qNr2FcXr3qI+9SAYjeD4oQLU6BNC3tiF5I5djN07AFBtKlGtNd8sykuqSd2bQ3Z6ibM7UvSo5hvrYMdx5lm/ZLzjIAYUdZHDKZi6jNLRFzjv7IbTL/6m6wpNg+NpJaTuzaG4QIJTTzDgbFQ4y+8o8wP3keBdjEKjMGoS6UMvpSxsdLuNCa1JcNp9mgYDBoczfFwcoZGB7VeCW2s67iZbHYPT3mfwsY341JfSoMx8ZRvHR9ZplOhBUgn2ELOXkYTRMYyacJJKcHt0BxiMeJUcJ/yL/xKyeyMGWwPlxhC+DZjFNv+zsWpeaBqymK0HBARZGJUUy/AxMRibhrafrgybr5FhRfsZfPRdwgv3obnGQ2mAQvO24D/7QvzPuQhTWKRb8ywBTd/b794kAU0rnjhB6o4epuTdd6j84jPsZh+OzryTosRznRftDlSCW2u+eZQUVPHNJwepr7X2QK5Faxo6CgPxwTrnzI2HuGGg28HQ+ZGczZW41H057PkmHYdDTktPaK7wThtpYsxZI7H5hbl6ATqrOTj9+uNDZB4t7oHcnnkGDo9izJTB+Ph1sBLcHt2BUorjW77mQKaNRsxNb0gluKdpGkycmcDwsTEYjR2rBLehdECjsaKcve9+TVqNv/Pl0zToCffw9fdmxrzhxA0JRSkwGDp/3jQHNr41+YxIeYWo/O8whkUScN5C/KbPxWDx6YGc9/2Apqxa8cH3iW5P++IxRwiVgKYNeYamF/gOH8HAXz2E7abbSfngWwpDLuxWes03kMLccglmPEg1tfyGj0pADYh3Vp+6EMwArhbp48eKJZjxoObW+8iJE7D6+jnbFLsQzICzIqA7dAlmOmH05EFYfL2ALlSEmxmMWOut7MrUAC/3ZU6cll+ghVFJcd1LpClwySuycaw2UOJQD4sfGkbckFA0TaOrp2BzT3adXzRpY69i2MVzCJo0A+10Pa0/AtJn4Dn94tdWU1PDww8/zKxZs5g2bRq/+tWvKC394WHcb7/9liVLljBhwgQuuugiNm7c2Iu57ThzWDiBc893W3rOC5LcDXqDXLT6OTl3eoVcs4Q4g2ga9uBwvEYnSTAjPK5f/OLuvvtutm7dyqOPPsprr71GfX09119/PVarlbS0NG6//XZmz57N2rVrueKKK3jggQf49ttvezvbQgghhBDix0g5R1S6+0+mbW5fnx9ydujQIb766itefPFF5syZA8CTTz7J3Llz2bhxI3v27GHEiBHce++9ACQkJHDw4EFeeuklzjrrrN7MuhBCCCGEEKKH9fkemszMTACmTJnies3Pz49BgwaxY8cOdu7c2SZwmTFjBrt27ZJhQEIIIYQQolfoSrn9T7Svz/fQREY6p/nLz88nISEBAIfDQUFBAWFhYRQUFBAdHd3mM/X19ZSXlxMa2vmVoZVS1NW1vz6FuzVabYC3R75LCCGEEKIn1dfXe+R7ujwzojgj9fmAZty4cQwdOpSHH36YZ555hqCgIP7+979TXl6OzWajoaEBL6+WM9s0/9tq7dqMXzabjUOHDnU77x1R0RgABHrku0TfJ20vQggh+rPmkTWe0Lr+19fISCHP6fMBjZeXF88//zwPPPAAc+bMwWw2c+mllzJv3jwMBgPe3t5tApfmf/v4dG3uc7PZzLBhw7qd947IyG3gYLlHvkoIIYQQosdoDjuDBw/ucv2rM44dO9bj3yH6jz4f0IDzQf81a9ZQUVGByWTC39+fyy+/nBkzZhATE0NRUVGL7YuKivD19SUgIKBL36dpGr6+vu7I+knp1RU07NqKd8pRGHp/lxfza6aUwsvbJK0BHqewNtgwGA2gHNDNMrT4mE+/oXArA4qGOisqxNe5BEY3hjDoCkxmI3abw235O5M11tu6vw4NYDI2LQio6+iykInH2K0OdF0ByrWWVld5W5zXzubFboVnNNbb0DTNtbhzlzXVPXwLjmLd/y6+5y/GMmZij07f3NeHmyloOj/cn65oq89fNWpqarj22mtJTU0lODgYf39/cnJyOHjwIGeffTZTpkxhx44dLT6zbds2Jk2a1O0LbE+w52dRs/5lKv7+IA1ff0Bo5VEuTn2UwWU70JQDTemdSq85gGmst1Fb3YDJ3Pf2+UxkwFlOIYYaJhx7jTFfPkFISSrgXDW5M3TdmVZ5SQ2awdCd+rTohOYyHGouYPRXTzNq70tY6pyLYmqqs2WoUEqRm1lKYEjPt0yeKb7ctI8DOzJoqHP2qne2QcZ5zXQwpGwHy0ds4ZKgvVg0K85bvtz2e1pDvY33//cdRw7kYbc7UEp1rgyVAqUw2WqZ07iV38V9yBSfNDSU6/wUPSvzaDEfrdlHbmYZSqlOV8Cb73e+tQWM3ruCpB1/xZ52mJL/9xj5D/+C6q0foDd45pmavqjpJ+7WP9E+TfWDJv2f/OQnGAwG/vjHP9LQ0MDvfvc7IiIiWLlyJUePHmXx4sXceOONLF68mK1bt/LMM890edrmlJQUwPnsjrsoXcd2eC8N2z7BnpsOBgPobS/W9aZAjobP4XDEPKwmP+eE41r7AUpza0p5cTWp+3LITi9B9UBLgGipufVwuDmP+b47meSdhlH74bhXBQ0hc/il5A86B6UZTlp+4KwEaxocTyvh0N4cSgqqPLELP3rNFaUZlsNc7LeHoV6FrvcUBopiJpM5/DLKIsai6Q7XKtitNV867XadowfyOLw/l9rqxp7fgTOQpkHMoHASx8cRGhl46tbipuNudtQzLOcjhuV8jK/1h3G79bqZrdUjeL8yiWJ7oLT4e4jZy0jC6BhGTYjD19/7lA9sN49I8K3JJyHtXeJytmJ0/DB0vNgewMc14/m0ZhwNyowGKOl563EBQRZGJcUyfGwMRqPznDlpGTZdG8MK9zH42AbCC/ehtWlEaCo5bwv+sy/Ef+7FmEIj3JbfnqivuUtKSgqlVYr1u4e6Pe1Fk9IJC9T65H73pn4R0BQWFvKnP/2Jbdu24eXlxQUXXMCvf/1r/Pz8APjiiy946qmnyMzMJC4ujl/+8pfMnz+/S9/lzhNENTbQsOdLGrZ/iqqucN61O3C4HZqJzJCpHIo6n0rLgBbD0ZorwTnpJRzen0NpYXW38ylOz1UJ9k7lYr/dDDEXnXL7Ru8gjidczPFhC7B5B7iCU1cl2Obg6IF8DqdIJdgTNBQK8NUaOd9vH+f77iPEWHvKz1QFDSZz2ALyBs5tEZwqXaEZNGqq6jm4J4f01EIZYuZGIREBDBsTS+zQCDRAMzgrVM3XwYC6PEYcf59BBV9h0k8+8YuuYE/dIN6vTOJgQ6wENh6iaRA3JJzRE+MIjw5qEZw2V4LDi/YyNO09IorbqwT/oEE380XtKN6vnkixI0jK0EPMXkaGj4lhzKRWwaly9nxquoPY41sYfGwj/tU5HUvUYACl8EmaTsB5l+E9JLHb+ewPAc26nUPcnvbiKRkS0LSjXwQ0nuTOE6T2/dU07v2Grg59UEChfyKpkeeREzgOu83BsYP5HDuQR12NVII9xVdr4HzfvZznc/pKcGsOg5n8+NmkjVhCfVD8CZXgAuw2GVLR00w4sGMkxlTGJX67ONvnEF5a54KPRu8gjg+5kGMJl4HFj8LcCg7uySE3s7SHci0ALL5eDB09gBGjo9C8vIku3ceI7I1Ele3vdFt9VmMYmyrHs7VmZNPVWFr7PSE0MoBRE2IZPCwCg3IQn/0Zg9M3ElCT26l0dAV7GwazqXoi3zfG47w7Shn2NE2D+KHhjJkUR+SAILwaKhh07H3iMz/By1rTtUSbRqjE/Pnf3e6tkYCm7+13b+oXkwL0V8ra2Nzj2iUaEF1zhOiaI9yeeiVFtWYcdqkEe9KTof8h3FSNl2bv0ueNuo24rM8wpu1mue3n1FQ1uDmH4lTiTMXcHbKJCGNll59N8m6sZHjqW2TsOco79guorenadPCicxrqrBzcmUlixrssiDiEv7Wsy2kN8i7ljsgtVDh82Fs/yI25FKdSVlTN15+kMu/QsySaczHbu7a+m0GDST6ZTPLJ5Nrsn+OQqotHKOUcEp2bVsiLiW/h3VCGoZPPF7bRNNxeWX8EjbI9tRCmkoC+PXJV6Ces9Y047F2fQUt0TYixtsvBzIk0kGCmF2gaRJoq3ZOW7mjqGZUbiUc57Pg0lrvlsJs0aRDqDUZrLWbNPYtVy9nXO3zqi3s7C0KckgQ0QgghhBBCuJlM1uQ58nSdEEIIIYQQot+SHhohhBBCCCHcTHpoPEcCGiGEEEIIIdxI4ZyhryfSFW3JkDMhhBBCCCFEvyU9ND2pq/PEnsCqeXMk6CwmXDyTmmor6YfyKMmv6H7eRIc8VHYtccYSLvbbzUhzTpeKtN4vkqLhi7lq4HSyM8r4fncuFWXumfFHnFqJPZC7Cn/KFEsaF/rtIaoLM54poCJ0BI7JV7IwZCjHDuZz9Pt8rA3dn/1OnFp4dBAqaSEfBC1jWP5mhuZvwctR3+l07MrA9tqhHGoY0AO5FCdjMGoMHRFJwdQHqNJrGHT0fSLydmBQnZ9trsbhzWe1Y7FjRNah8RxvHzMjxg7ks7H/IrjsCEPT3yO4Iq37CWs/gvZ01UNDzqSLpl2ysGYr7lyoyV5wnLrNa7FnHHItJtVR1aZQDgTP5WDwbOyaF+Ccety5Qnkd6d/nkptRjO6QaUh7lsKAQsdAvKmY+b47mWE5gvk0izMqoCpiJNmjLqMkfoaz8AxG16rZOZllpOzMITer3DO78SPnXGFcY5J3Ohf77WaU1+mDU10zURA3k4zEy6gKTkDTHehNN2HdoUhLLSB1Xy5V5RKcupPBqBE3JJLh42IJCPZD6bpzlXIURt1GQv4WEnM/JKCh8LRpVTu82Vw9mk2VE6h0+KKhUFIR7nEWXzMjxw9gdFIsFh+zc6V5FGgGvOtLGXjkPWIzN2O2nf7cybWF8GH1BD6vHY0DoyyM6iHBYX6MnBDL0BFRoGkYDBqa7kAZjM7A5ti7RBV0IjjVNFAKg58//smXEnjhYjRD95ai6OsLa5ZU6Lz5zUC3p33lzOOEBxv65H73JgloWumJE8RRkk/Djs9o3PcN6I6mRZHaUkCBJYH9Iclk+k9w3ny1tid8c5HZbQ6yDueTeTifxnpZ7K+nNVeG/LV6LvTdQ7LvPoIMLVuLdYOJ4oFnkz16ETWhQ103gNZ0XWEwaFSW17H/uxyOHSqURVM9wBnYGIgzlXCJ3y7O8jncJji1egWQPeRCMoctwGoJBqW325rYXIb5x8s4uDeH/OMSnHaHt8XMkJExDB09AC/vpkpwO1GnphwoDAwo3c3I3E1EVhxsU73NsYbwQeV4Pq8eiQODVII9JDTcj9GT4hg2MtJVCW5DKUBh0G3EZmwm/tgm/Gry22yS0jiQ96snktIwyHXeip4XOziM0RPjiIoNdjXAtdF0TfSuL2NI2nsMzPr05IumNjXmmgYMJPC8hfhOnoVmNrslr/0hoHnj63i3p33V2dkS0LRDAppWevIE0etqaNzzFQ07NqNqq1wtFg6MpAVMZn/IeZRa4pw37HYCmfY0d2fmZRWTcSiPytIat+dbtKWhY0BxtuUQF/ruJsa/kfzhF5Ez8lJslqCTVoJbaz79bFYHB/fmcXBvLnWyEn2POzE4vcBvL+f57scQHErWsEvJGZTcFIRqHRo2qnSFZtCoqqjj0J4c0lIL0B1yWe2ooFA/EkbHEpcQgYaG1l4luB3N18nA2hxGZb/PwMJvOFAXzcbKCeyvHyiVYA/RNIgbEsa4yXFEx52iEtzeZ3UHSjMQXrCLQUfew7cwla/rRrCxehL59hApQw8xmY0kjIpiVFI8/oEW1zXttFzBqZ34rM0MTt+If21TcNoUyFjGTyUg+VK8h49ut4GiOySg6Xv73ZskoGnFEyeIcjiwpu6m4duPqSipYd3AB6g3BaIpHdXFcaW6rlNaUMl3Ww7KNIEeZEBn4PBIki8Z2dQa2bFKcHt0XbHrmwz2bc92bybFKWnoTJk9jBET4k/ao9YRSimUUnz49h7KiqVhoSMmzU5k4LAoV29XlygdXYfP391FVWWDVII9yGQ2sujayQQG+3S8EtwOTXdQUlLPh2/tptGm4xxgKD1qnhARHUjywvGYzM5zpqtBR/O1c+iRtYw69jb+s84nYO58TBHR7sxuC/0hoPnfl3FuT/ua2TkS0LRDJgXoBZrRiPeYqXiPmUre7kzqjwUCdDmYATAYDFSW1iDxqWfpGIiIDnAGMd18yNFg0CjI6fxD66J7FAai4kKd/92NMd2apqF0JcFMJ0TEBAN0PZgB0AzYbFaqKhsAJJjxIB9fM4HBPgBdDmbAed5VlNbSaHM+7C93Mc8JCffHZDZ0u/ek+dpZPORsZl4zB/+wcHdkT/SAwsJC5syZ0+b1xx9/nCVLlnDo0CEeffRRDhw4QGhoKDfeeCPXX399L+S0cySg6WVaeBQcc2N6TYNphGe5K46UNsleIgdeCCG6Tffxw+AjjQrN+mIjc2pqKt7e3nz66actAtmAgADKy8u56aabSE5OZvny5ezdu5fly5fj5+fH0qVLezHXpycBjRBCCCGEEG6kUD3yCEB3G62PHDnC4MGDiYyMbPPeK6+8gtls5pFHHsFkMpGQkEBWVhYrVqzo8wGNhNFCCCGEEEL8CBw+fJiEhIR239u5cyfTpk3DZPqhv2PGjBlkZmZSUlLiqSx2ifTQCCGEEEII4U49uLBmfn4+99xzz0k32bx580nfO3LkCCEhIfzkJz8hIyODQYMGcccddzBnzhwKCgpITExssX1zT05+fj7h4X332SjpoRFCCCGEEOIMZ7fbSU9Pp7Kykl/+8pesWLGCpKQkbrvtNr799lsaGhrw8vJq8Rlvb28AGhsbeyPLHSY9NEIIIYQQQriZ3kOTAsTExJyyF+ZkTCYT27dvx2g0YrFYABg7dixHjx7l5ZdfxmKxYLW2XAuvOZDx9fXtfsZ7kPTQ9CKlFDUpR9ybpsxw1ivctV6YlF4vkQMvhBDdptVU46ip7u1siFPw8/NzBTPNhg8fTmFhIdHR0RQVFbV4r/nfUVFRHstjV0hA0wscjVZyVq/ji4mXkv3TuzGVFTrf0B1dTlPXdYLDAzC4eSVecWoGdIryq0DXQendmr9Z1xUD4oPdlznRAQoNRUF2KSiFprp+DirlXFgwPCrAjfk7sxXmlgPO61eXKR2z2URwsPMGbaAbaYlOqa+zUVFaC3TvWQFNdxAS4YfFy3n/kpVoPKesuBqb1eFaGLjLdAconbBDn5F3780UvPR3GnOPuy+j/ZTSldv/uuPo0aNMmjSJ7du3t3j9wIEDDBs2jKlTp7Jr1y4cjh/uhdu2bWPIkCGEhYV167t7mqb64iTZvagnV55tLCwha8UbZD7/X2xlFWAwgK6jDEYqp5xH8SU3UT9sPDjsYOzYaMDmi1BuejEZqXlUl9e6Pd+iNeca1kYczA1I5eKA/UT6WckbnEzW8Euw+oQ6g5sOLLSplELTNBrqbXy/J5fUfXnU19l6fhd+5JyrNWkEGeu4JCSF84IOoQWEkB5/AVlxyegGE6B1qOtN13UMBgMVZbUc3J1NxpFClNSpOywg2JehowcwcFiUa4HNjizyp+l2lMGEf9ERBu7+H+Fpn5OuDWSLeRbfG0di0JQssukhsYNCGDs5jthBoei66vhCqboDNI2InG0MPLwB3+KjbKsfwcbayeTYwzGgSxl6gNFkYMiIKEZPjCMw2Belq44tlNpUfTTYG4g9vInYg+/iU9PUQNtUv/EdP4nQBZfjO35StxfvbK0n62vdlZKSQnG5g1c+jXZ72jecV0BEiLFL+63rOsuWLaO+vp7ly5cTEhLCW2+9xf/+9z/WrFlDWFgYF198McnJydxyyy3s37+f//u//2P58uUsXrzY7fviThLQtNITJ0jVvlQy/vEKua9tQOm6szX/JOqGjqP44huonH6h8wVj25XLmyvB1gYbGal5HD9agLVBKsE9rfnmGmSsY37gXs71P4i/seVDcrpmoHjAVLISL6UqNBFNd7S7+nxzJbi8pJb9O7NJSy1Cd8ip2NOay3CIdwkLQ/YyIyADk9byfLSZfMmKnUvaoPk0WE4enOq6QtMgN7OUQ3tzKcyt8NBenJm8vE0MSoxm2JhYvH28XNe5NporwWlfEL/nTQILDrRZF7VYC+UL80y+NU/Bjhmlgaye2vOCQ30ZPTGW4aOjMRhPEpw2VTmMjkZij31I3NFN+NQWtdnkkDWOD2onsbtxKAYkOPWUmIEhjEqKY8DAUNd9qg3dAQYj3jWFDEx5h+ijn2Cy17efYFNgY46JJXTB5QTOTsbgbWl/207qDwHNqk/cP0zrxvMLuxzQAJSUlPDMM8/w5ZdfUlVVxejRo/nVr37FlClTANi/fz+PPvooBw8eJCIigptvvplrr73WnbvQIySgacWdJ0jFzhQOPfAEZV9+h2YyouwdH85iDY2i9LyrKT3/anQff6B5SIuB6vJa0g7mkp9ZjN4TUwKKEyjXzXSoVxELgvYwzTe9TSW4PZUhCWQPm09B3EznCwajqxJ8PL2UAztzyM+p7OH8C3AGMgqY7p/BgpAUEi2Fp+180TUDBRGTOTZ4AeXBw9F0B3pTYOOw6xw7mE/q/lxqKht6fgd+RDSDRuzgcIaNjSM4zB+l602VYoXR1sCAA+8St38NlurC06ZVjzfbzFP43DyLCkOQq2dO9Cxvi4kR42IYMzEOHz8vZxmiwGDEUlvIwNR3icn4DJP99OdOoT2Ij2uT+KxuHDZMTYPRpAx7WmCILyPHx5IwyhmcaoCmnCNKgvP3E3/gHcJyvkPraHe0poFSGHx8CZm/iLDLr0Vrp7GvMySg6Xv73ZskoGnFnSfInmvvI+/tD07ZI3M6upeF8rMv5fCi+6ipt5NxMJeyoqpu5010TKy5jDhzGQsC9zLccvoKVHsaLCEcHryQYwPmkZ1Rxve7c6mWSrBHBBnr8DHYmOafwUXB3xNhrulSOuWBQ/gq5irKAoaSdrCAYwfzsVm7/ryN6JjQyABmjvIiKNCbAQfeJTr1Q0y2k7QEn4KORopxNG94L6LO4ItUiD1DM2gMGR7O+VMt+Ok1DDz8HuF5O7v0jEyd7sXW+jG8WnVOc+ruzaxol5e3icQxUcwc7UVg0SHiD67Hvyy92+kOefZlvAbEdSuN/hDQrPwo0u1p33xhkQQ07ZBpm3uQO2JFg7WBsC1vs1tNodoS4oZcic74c8w7+Bi6N5zP0lBOVMp6Hv/Q3025Eh0VZqrliUFru51OSFUGXsffZWPRLGnh96Cyomoacz5nsvVTjN142N+AYoLje77TJ5JiGOXGHIpTUboi/XAxkSVvMtIrr1tp+RqsXOy3hzeqZmGXqovHWBvtHNp9nHtTn3BruupH8KCh6qGFNaUbon0yKFUIIYQQQgjRb0kzhxBCCCGEEG4mT3V4jvTQCCGEEEIIIfot6aERQgghhBDCrZRzqY4eSFe0JT00QgghhBBCiH5LApp+wtvfB5O5e3O2i84rtgfQoHe/I1MBgSE+HVl4XriRUpBrDcYtE82YTASFuGdBONFxmtmMNcg9q23bkWtob7B7B9LoFeCWtKRtunfU+A/AYTD3djb6HV1Xbv8T7ZMhZz3IFODvrFE1LSjVWUrTqBl/NqWX3MTM8TNx2B1kHSkg/VAeddWyjoknPJB3NRbNyvkBB7gwMIVwU+fWMXEYvciJm8OxoQu5zD+a2poGDu3JlXVMPOS4NZR7Mq8k0lzFpSH7OSfwMD4Ge6fSsPqEUDDsXAITLuSn3hbycqrY+W0uxw6XyvSZPcg/0JvRE2OJG38Wx7y88MvcQ/i3rxNw5JtOr2OSbRjAFvMsDhkTeyi3oj1hUYGMGB9L+tBZZCiduOytDE1/n6CqzE6loyuNXQ0JbKydjAMTzrBGWod6mqZpDBgczrCxsWwOm4u5sYqhxzYw+NhGLI0VXUvUYARdx+AtjUPCvWRhzVbcuVCTvbaOnFfWkf7sSuozc9CMRpTj9JVY3ctCxZzLKF1wE9boQaA7nBcBcK00X5hTRtr3uZQWyErzntC80vw033QuCdzLcO9TrzTfYAkhc/BFZA2+ELvJx/miprlmPHGtNL9PFtn0BOcK8WDR7JwffJCLgw+cdpHNmtAh5CdeRGn8dOcLTeeg0hWaQaO6qpFd2/M4sKeAxkYJTt0lakAgY6fEMXhYOEqBwdB0ojVdB80V+YR/8zohezdhPMUimw4MpBhHscVrNpnGgRjQ0WVQQo8zGDTihoYzMimOkPAAdF25ylDTHSiDkbCS70lIe5eogl1op1hfqE734vO6sXxQO4kyPQADCl0CmR5n9jYxKDGahNGxePt4oZRCa77hKR1N6cRlbSHh6HqCKjq4yKbBee4FzJxL6CVLsAwd3u189vWFNYvK7Lywwf3rB96+sJzIUFOf3O/eJAFNKz1xgihdp+jDL8j460pKt25HMxlR9rYVIFtoFGUXXEPZBdeg+/gBCrT2b8BK19EMBqrKa0n7PofcjGJ0hxRlT2uuFA3xKmZB4B6m+6Vh0n64IVcEJ5A+5BLyB5zlbEDUTj7EpTk4zc0s5eCeXApzK3p+B4QrOJ3un8GCkBQSLT8Ep0ozUBY7mbyRl1AbltCiMaG1E4PTlD2F7P4uj4oyCU67wmDQGJIYwfipcYRFtqwEt9G0IJ/B2kDorvWE7ViDV2WB6+06LGwzT+Fzr7Op1ILQ0FESyPQ4L4uJhFExJI6LxeLbqhLciqYcKM2IT10RCcfeZWD2Z5jsP5w7BfYgPq6dyJa6sdgwNfXHSSDT0/yDfBk6egDxw6J+CEJPVoZNwWlo8QGGHV5DdP4OtNaLZTaNTjH4+RNy4UKCz1+AKTTMbfnt8wFNqZ1/vxvs9rR/dlkFkWES0LQmAU0rPX2CVKUcJuMfq8l9dT3KoYOuU5cwjtJLbqRqxoXOnnRjx8d5N980rI020g/mkn4wD7tNWot7mrPFXyPIWMfFgfsZn+hL3vCLqQwZ5rrQd1Rz5a2irJYDO7PIPFIsQ5k8wBWcepdwaWQqQyYMpnDkhdh8QpyV5pM0JrSnOTjNOFbOtq+yyc+p7sGcnzm8LSZGTRjAmEmx+JymEtwu3QGaRuChL9C+fp8dJeFsM0/BjgmlgVSCe15giC+J42IZPCIKg6aBdvJKcBtNFzqjo5GBGR9hO7iTz8oS2NM4pKk3RgJRT4iIDSFhTCyRA0JO3ZjQDldwWltEwpG1DMz4GLPeCLqOeUAcoQsuJ3B2MgYvb7fnWwKavrffvUmeofGwwHEjmLDiUUY+ej/HV7zO9+u3k/HbVeCwn7Ql+FSabxxe3ma8LV4SzHiIaqooVTp8ODD0CszThrpajjsTzMAPQ2qCQnyxWXUJZjykubKU2RhGwbw7MA0M/KH624lgBn4ow4FDgnl/Taobc3lmm79sAqFhfq64o1PBDLiumaVDZ/Lfjwzg5ZBKsAdZfMxceMVkQGEwdOG4N5W3w2ThG/NMvsgPwYAOaDK0zENih0Qw+ZyRqKaHzTsTzACoplEI9b4RHEi6jeKoicyt3ED4wivwHTex8+f0GUSB67i6O13RlgQ0vcQ7IpThD/0Cx1XXc2QvYOx+UdhsdrQTntMQnqBh9jahO3QMxu5VpJp72oRnKTR8fE1uufFqGthsPbHuwJnJYjGjdbIC1R67TtPsPxLMeJLJbGyqAHe/DButzvNGAlLPMnuZnD2j3T0PNefvoD5+JBE/nYCvr69b8idER0lA08s0s0yDKIQQQogzgBsaZ88cCr31c0VuSle0JU0hQgghhBBCiH5LQmkhhBBCCCHcrCeeoRHtkx4aIYQQQgghRL8lPTRCCCGEEEK4k+qhHhrp9GmXBDRCCCGEEEK4mcw66zky5KwX6Y11qLIct6YpJ0/vcN9c+z/eOft7k9Ll3OkNSim3HHdNzpte4c4z5se8XsmZQ+Fl0HHUVsj1VHicBDQeppTCUV1G/dGd1O3dTFT9EUb5ZmFAR3Muw9SlNAHCooKw+Hq5OcfiZJqn7a/MycfbWgY4l4PrCl13fi4+IQyjSU5LT2leCzDrcC5GZW16tWs3Yl13rnI/cky4ezL3I/DdlxnUVDUC3RmaobD4GJg3Mxhfb+c1VKrGnlFX3cChPdnYbY5uBKfOz8TH+5M0ygeDpnDD0kSigwqyS8nPKnGWXxfPQa2pDIO96pkYlou1MJOKw7uoL8lDd9jdmd1+R9d1t/+J9smQMw9Ruo69LA9bfhp6XRXNLfFmg4N5oQeYEXSYg7UD2VczhAbdGw112tuyrusYDAbKi6tJ+z6HguOlssq8BxgNCoeuMXaQg8VnOZg6vAGDYSeVdj8ONwwiozH2hFWuT1eGzgLLOlrMob25lBZV93DuBTjXgDMYYNZkCxed48fAAQaUyqba5kthQzDVdl+cFa1Tl19zBc7a6GDvznz27synptp6ys+IH6SlFpF+uIj4oWGMmxJHTFyw67p2as6y8cJKgjmToaYsLOdaaZgDn6WYWPOtF3llBgwayCRDPUcp2L89g4O7jzNkRBQjJsThF2BB6adfqFFDR2EgyFTHGP9sBvsWYUxQlFbBph2K97dDbYOz902KsOc01FnZ+XkqPn7eDBk1gMEjYlyNaqfrNXPWUyDOr4KxIfnE+FbR/BHdbqWuIJO6wuNYQqOwhEZj9Pbp4b0RP2aakn7BFlJSUgAYN26cW9JTNiu2oixsBeko++krOg6lkVYfw97qoZTYglwX/RZp6s6LSG5GEekH86gsrXFLXsWpaZrCqEHyBAeXzXAwJKr9U6dRN3OsMY7D9YNoVN60rhg3n3I2q4PD+3M5nJJHfa1UgnuapjkrYP5+GhfO9uPcmT4EBRjb3bbeYaa4IZjSxoATGhZ+KENdVxgMGuWl9Xz3bQ6HUoqx26XlrLtCI/wYMymW4aOiQNOaVqH/QfP1MFCrJtGcRpwxH6PW9rgrBbvTjazbZmZXugmDQaHr0uzf0zQNYgaGMmJCHJED2g9OmyvBsZZSRvvnEuVVQXv15gYrfL4f1n2lkVvqbICQxumeZzQZiR8WybAxcfi2G5w6719GTTEiqJDRIYUEeTV0KG2zfwg+4QMw+QW6ZYihu+tr7pSSkkJBiY3n/mdxe9p3X9NAdLi5T+53b+oXAY3dbuef//wn69evp6KigtGjR/PrX/+apKQkAA4dOsSjjz7KgQMHCA0N5cYbb+T666/v0ne58wSxFWXRmHnAOUC/k5SCAmsI+6qHkN4Q7ep5sdscZBzKIyM1n8Z6qQT3NE1TKKUR6KtYON3OJVMcBPl17LO60jhujSK1fjDljiDXjaGqvI7v92STcbgIh1SCe1xzIBMfbeKSZD9mTLRgNnXsZmrXDZQ0BlLUEIxdmVyBTGZaOTu35ZKVXtGzmf+R8vE1M3LCAMZMjMXiY6a5EhVjKGS4OYNwQ1m7leD2ZJdovLvDi4/3mrA5QJ5T84ygUD8Sx8UyODESzaChaWDUdIb75jPCP5dAU8cqwUrB3jRY9zXsPiZl50lRcaEkjI0lPDqY5oY5X1MjY0PySQwqxtvo6FK6Rm9fgoaOQzO236DUURLQ9L397k39YsjZ//t//4+3336bv/zlL8THx/Piiy9yyy23sGnTJsxmMzfddBPJycksX76cvXv3snz5cvz8/Fi6dGmv5ttRWdKlYAaaWrq8y4nxLqfa7sOjnw2lrNxKTnoxukMqwZ6y5CwHgyN15ozVMXfybDFoisHeBQzyKiC1LJjX9g4g/3g5+dnlPZNZ0UZ0hIFJYyxMGmNhZIK5062CJoNOtE8FUZYKvkjx4mCmxsGUIspK6nsoxwKgvs7Gnm+z2LfjOFdfGsqERG+GmHPwN9R1Oq34cMWd8xu5YV4jv17lQ1ZJ9ypRomMqy2r5busR9m/P4I7roogN1UnwLcDL0LlKsKbBxGHOv5xixc//4WwsEj2vMKeMwpwygkN9ufPGaMIttQzyL+v2M06Oxjp0eyNGo697MtpnKVQX64CnS1e01S8Cmk8//ZQFCxYwa9YsAH7729/y9ttvs3fvXjIyMjCbzTzyyCOYTCYSEhLIyspixYoVvR7QuEuAqZ7sQ1mUVsvD4p529Tl2fL27l4amQRCV7P66Yy2Swn18LAZ+cllgt9PRNLBWVfD1liq5lXiQ7lDYi/MZNdpKd+fKCPCBAaGKrBL35E10TGODjRiVzSj/7qcVFwFGA+hd6xgQXVRdUcfUiOzezoYQp9QvashhYWFs2bKFnJwcHA4Hb775Jl5eXowcOZKdO3cybdo0TKYfYrMZM2aQmZlJSYncuYQQQgghhIc1Lazp7j9pVWtfv+iheeihh7j77rs599xzMRqNGAwG/vGPfzBw4EAKCgpITExssX1kZCQA+fn5hId3fgpVpRR1dZ0f2tDaj326QiGEEEKI1urrG+jk6MM2lFJ9fv2irk9HLzqrXwQ0x44dIyAggH/+859ERUXx9ttv86tf/YpXX32VhoYGvLxarr3i7e0cI9TY2Nil77PZbBw6dKjb+Y5xVBGAPIIqhBB9x+mn4xbu1fenHhKelp6ehk11f5BQ6/qf+PHq8wFNfn4+999/P6tWrWLKlCmAc0aLY8eO8Y9//AOLxYLV2nK2r+ZAxte3aw+cmc1mhg0b1r2MA/rxFKiU5yaEEKLvkGDG0/p4I7roBUOHJmDw6t4MYMeOHXNTbnqO3iOTAoj29PmAZt++fdhstjbT002YMIEvvviCAQMGUFRU1OK95n9HRUV16Ts1TetyMHSiBqMJGXQmhBBCCPEDHx8LRu/u1bP6+nAz4Vl9flKA6OhoAA4fPtzi9SNHjjB48GCmTp3Krl27cDh+GIy5bds2hgwZQlhYmEfzKoQ4s8nImd4h9Zb+TYaciR+rHpkUQLSrzwc048ePZ/LkyfzmN79h27ZtZGZm8re//Y1vv/2W2267jaVLl1JTU8NDDz3EsWPHWLt2LatWreL222/v7axj8A9u+q/u341HxzkDNqOx62k1Vwqa/9/QjdJv/mzrNLvC2DSpvabR7fntjSfsU3eOVXN+Duc2J9i9tIL8FOGBzguRu467pnUvVycen+7kqfXn3XHcm39Pxm7kS9OgrEKnqsY9Xf5xMSbMJq3bleseO+7dOHmaP9n3rg2QXuiu25RGYqzDlW53nHiou7M2YE9dkzW6edyNP6Tljt9oqmvG3+7fC4fHOdPo7rXhxP/vzn3H2Oqa3B09d03uejoaoCvILHBfRVozeaGZ5NkX4V6aUn2/7aSyspK//e1vfP7551RWVpKYmMh9993HtGnTANi/fz+PPvooBw8eJCIigptvvplrr722S9/l7pVn9YZabIUZ2IqyQO9Cxcpoxhw9BHPkIA6mW3nz3Ry2fl0MWseTMxic28ZGW7h6STznzYlkT0oFr6/LZv/BKoxGDYejYz8DoxEcDhg3KpCrFsczeXwwn35RxBvrssnJb8BogI6u+2kwAArOmRnBlYtiiYm08O5H+bzzXi5V1XbXCu8doWlgNhtYeEEMl18ai92h8857uWz8tAC7XXU4HYPmvHiHBJlZdlkcl54fjb+xBmthJvbKYpyX946eMs5tDRY/vKIGowVG8cX2cl5fl0Pq0erOHXeDhkNXTB4fzFWL4xg7MpAPPyvkjfU5FBY3usq4Q/toAA2N8+ZEcMVlcYQGe7FuUy5rN+ZRW+fo8HHXmg6FxWJk0cUxLF0QS3WtnbffzeGjz4tQSnX6NxoR5sWyy+K45LxoDh+r5vV1OezYU+7a/45o/g0OG+LHNUvimTszDGtDLVUVZdhaPW/XURZfPwKDQ7A5zLz/SSFvrs+htNzaueOugcGgcWFyFMsWxuJjMbJmYx7vfpBHQ6Pe4V9Wc/n4+xlZckksS+YPoLi0kbc25LL5S+dw284e9+hIb65eHM+FcyPZd7CK19dls/dAZafO5+YyGj0igKsXxzNtYgiffVnM6+uyOZ5b3+lrg1Iwe3oYVy6KY9xwC7bibKyFmWDvQhlqBswR8XhFDSanzMCa93N57+MCbDa9U9cYpSAowMQVC+NYeGE0OfkNvPluDl98W4LWiWty87GIH+DD1UviOXdWBN/tLef19Tl8n9rZa7Jz26SxQVy1OI4Jo4P5eGshb6zLIb+wodPXBoB5Z0dw5aI4IsO9WbcpjzXv51FT2/Frstb0P95eBi67KIYlC2KJDnLQUJyLrbygS102mskL74g4zKHR7D1Yyxvrc/h2Z1nnfqNNx2roID+uXhLHnBnhfL2jlNfXZXM0vbaT12Tn905NCuGqxXGMTgxg46cFvLk+h+LSzl8bNIPGBXMjWbYwjgB/E2s35bF+Ux719Q7oxDVZKfD1MbLkkgEsuSSW8gorb23I4dOtxSg6f02ODPfmqsVxzD83Ci+9hvqSPOy1lR1LpBWjxQ+f8Fi8gkLRtO43VLi7vuZOKSkp5BdZeWql+9P+9c0QE+nVJ/e7N/WLgMaTeuoEUXYbtuLj2ArSUdZTTRTgrNZoPv54xSRgCotFM7RsXiksbmDtxjzWbcqjrv7k8x42VzCmTAjmykVxTJ8UiqFVU9SRtGre2pDLJ1tPXQF1VYLPiWDZwjhGDAto8b6uK3bsKefN9dl8t7fipDeZ5kqwj4+zErzkkliiI1s+GGi16Xy6tYjX12WTcbzupJXZEyvBVy6K45LzYgjwb/lYWFW1jQ0f5fPWuzmUVdhOepNpvpENH+rH1YvjmXd2BGZzywuu3liHteg41pLs09ypnDtpDAzHO2owxoDQNmN9D6RW8daGHD7/6tTBqaY5y/Gic6NYtjCOoYP8WrzvcCi++a6UN9bnsO/7ypMeqx8qwSaWLhjA4vkDCA9tuWJoQ4ODjz4v5PV1OeTknbwC2nwMY6IsXLU4jouTo/H1afkbLSu38u6HebzzXi6VpwhOm/M7pqkSPGtGOKZWPTxZ2XW8/V4umz7Nx3aK4LS5EjznrHCuvCyOcaMCWxx3pRSNDfVUVZRTX1vTfiKtDlpAYBABQSGYW82kY3cotn5TzBvrcjh0tPqUv3elICjQzBULY7nsohhCglqmVVdnZ9PmQt5Yn01B0cmD0+bXB8b6cPXieC6YG4m3d8vjXlzayNqNeazdmHvK4PTESvDVi+M5a0rba8OxjBre3pDDR1uK0HXFyeLJ5kpw8qwIll0Wx+jElguZKqXYua+CN9Zls313+cmPFc6AzuJt4LKLB7D0kgEMiPZpmZauYy/Lw5qfjl5fzekaGDSzN17RQzBHDEQzmVu8V1Vj4/2PC3jr3RxKyk5eAW3Ob8IgP65eEk/y7Ai8Wl0b8gsbWPN+Lus/zKOxwZlIe7lq/r1PmxjCVYvimDoxpM21IfVoNW++m3Pa4NRgcD5DcOHcSK64LI7hQ1quXKnrim27ynhjXQ67U059TVYK/HydleDF82OJDG95bWhsdPBJ0zU5K+f014aoCO+ma3I0fr4tr8m63Yq1JJ/GkhyU3db+zp3A6BOAd2Q85uDwNpXg7Lw61ryXx4aP808ZnDbna9Y0Z4CcNDaozbXhQGoVb6w/fXCqaWAyaVxyXjSXXxrL4PiW12S7Q/H19hJeX5fDgVMEp83HPTDAxNIFsSy+eAChIS2vDfUNDj7YXMAb63PIKzh5cNpcHrExFmfDxLwofCwtrw2l5VbWb8rjnfdzqa45xTW5qdFy/OhArloUz9nTwtr0utsb6mgozaOxorhDkZZXYBiW8AGYfQNOu21nSEDT9/a7N0lA00pPnyBKKRzlBVjz09Bryml9QzYGR2KOTsAYGHbaB97qGxzOVvp12eSecLHTNGeFZf65UVx+adtKcHtKy62s/8BZAW2+2Dnz66wEX75gAIvaqQS3J+N4LW9vyGXT5gIcDmcFtDlvA6ItXLUojovaqQS3ppRiz4FK3lyfw9c7Sl1pNN8gxowM5JrFcZw9vW0luDW7Xefzb0r439psjqTVuCoWJ1aCr1rk7Pk43XFXDjvWklyshZkomzM4dU0Eqxkwh8fhFTkQo+X0x711cHricQ8OMnPFpbEsbKcS3J6j6TW89W4OH28tQjVVQJtvdIPinJXg889pWwlus3/KGZy+sS6H7/b+UAFt/v+J45yV4BmT21aCW7PadDZ/UcTr63JIz/qhBbS5Enzu7EiWLYxlVKtKcHuqqm2893E+b76bQ1m5MzhtnkDG22Jg0UUDWLoglpio08+cY7NZqa6ooKaqguZLYPOaBkajkYDgUPwDgzB2YKzG94ereOvdHLZ8XQw0/UZbVYLPnd02QG7N4VB8u7OU19c1BadNx6o5remTnJXgKUltK8GtNTQ4+HhrEa+vzSb7hODU1Us0L5IrFsYxbMjpl28vr7Dy7of5vL0hxxWcOo9XcyU4liWXDCAi7PTXhuM5zuB04yc/BKcn9hJd2dQ75+t76vlqlFI4asqx5qfjqCik+TrafB4a/ILwih6KKTT6tC3Bdofiy20lvL4um4OHq1tcG3T9h16iCWOCTnvc6+rsfPBZIa+vaxmc/lAJjuGKS2MZFH/6h6FLShtZu8kZnNbUtrw2BAWYuPzSWC67qG0luD1pmTW8tSGXjz4rdAWnzXmLi7Fw1eJ4LpoXhcVy+mvDzn0VvLk+h227yn64JjcdswljgrhqURwzp7atBLdJS9exVRTTUHQcvaG2zfvm4Ai8I+Iw+QWddv+qa+y8/4mz4erE3hGtqZdo4YUxLL00lthWAXJ7CoqagtMP8mlocPaONAc4ocHmpt65GIICzadNK/VYNW+9m8PmL37oHWk+VoMH+nLN4njOnROJt9epf6O6rti+2xmc7tpf4Urjh16iYK5c5OwVPd01udGq88lWZ8NVVnbdD9eGpkbL8+c6r8mJCacPPnS7jYayQhpK81BN6+4p1dRwaTBgCY3GEhqD0ev014au6PsBTSNPvuT+tB+4BWIivfvkfvcmCWha8eQJ4qitoD7nKPaKIkxhA/CNG47BcvoKRmsnXuyy8+pZdHEMCy8cQHDQ6S+4rTVadT79oog31+eglOLKRXGcf07UaS+47amscvaOrN+UR2yMD1ctjutQJbg9ufn1vPN+Lp9uLWLqxBCWLYxj5PCutfYcSK3izXdz2HuggovmRbF0Qdteoo5QSmGvLKI+Lx1rfQ2WyEH4xQxp0xLcEfUNDj7aUsjbG3Lx9jJw5aI4kmedvhLcnrJyK+s/zGPDh/kkDPbjqsXxTJkQ3KUZYTKza3nnvVw+/7qEs6eHsWxhLAmDO/8bVUqxtyk4PXS0mkvOj2bJ/AGEd6AS3JrdrrP12xLeWJdDdY2Nyy91Doc4XSW4PbruoKaqisryMhobGwmLiCQ49PSNCe0pKmlk3aZcNn1ayJgRAVy5KI7xo09fCW7P0Ywa3n43h2++K2Pu2REsWxjLwLjOzwiklOK7PeW8sT6HjOO1XHbRAGcvUXDnx69bbTqbvyzirfU52OyKKxbGcuHc01eC29PcO7J2Yy5RERauXhzHWVNOXwluj95Yh7UwE1txDlUOI8FDR+MXHtPpdAAOHnEGp7v2VXD+OZEdrgS3yZOu+GZnqWvY1+L5A1h4YQyBAV24Jjc6+PjzIt7akIPRqHHlZXGcOyeyTS9RR5RXOoPTDR/mMyjOh6sWxzM16fSV4PYcz63jnfdy+ezLYmZMCeXKy+IYPrRr1wZHbRW1BZnYqivwCo3GP2ZQl6b0tTsUX20r4fX1OZRXWLl8QSyXnN+2l6gj6uodfPBZAe9syMXPz8hVi+KZOzMck6nzx72ktJF1H+Sx8ZMCEhP8uWpRHBPHde2anJ5Vy9sbcvhyWylzzgrnioWxDBl4+saz1pRS7N5fwevrcziWXsOlF8SwaP4AwjoQILdJS9exVpVSW5RDY0MDfpGxBES2HV3ibv0hoHniRfdP2/ybWw0S0LRDAppWPH2C1NXVcejQIUaNGuWWqaKF50kZ9n9Shv2flGH/JuXX/3m6DCWg6Xv73Zv6/Do0QgghhBBC9De6TLPsMX1+2mYhhBBCCCGEOBnpoRFCCCGEEMKdlPP5Iven27PPJvVX0kMjhBBCCCGE6Lekh0YIIYQQQgg3U/IMjcdID40QQgghhBCi35KARgghhBBCCLdSKKW7/e/Exdi7Qtd1/v73vzN79mySkpK49dZbyc7Ods8u9yIJaIQQQgghhHAjhXPImdv/upmvf/3rX/zvf//jT3/6E2+88Qa6rnPLLbdgtVrdsdu9RgIaIYQQQgghznBWq5WVK1dy1113MXfuXEaOHMmzzz5LQUEBH3/8cW9nr1skoBFCCCGEEMLNlK67/a87UlNTqa2t5ayzznK9FhgYyOjRo/nuu++6u7u9SmY5a8Vms6GUIiUlxSPfp5Sz8/DYsWNomuaR7xTuJWXY/0kZ9n9Shv2blF//5+kytFqtffq3EhKk8Ye7fXsk3fz8fO65556TbrN58+Z2Xy8oKAAgJiamxeuRkZGu9/orCWha8fTJoWkaXl5eHv1O4V5Shv2flGH/J2XYv0n59X+eLkNN0/psQNN8HHwsPZN+VmVllz5XX18P0KacvL29qeximn2FBDStTJw4sbezIIQQQggh+qkRI0b0aPrjxo3jiiuu6PTnLBZnhGW1Wl3/DdDY2IiPj4/b8tcb5BkaIYQQQgghznDNQ82KiopavF5UVERUVFRvZMltJKARQgghhBDiDDdy5Ej8/f3Zvn2767WqqioOHjzI1KlTezFn3SdDzoQQQgghhDjDeXl5ce211/L0008TGhpKbGwsTz31FNHR0VxwwQW9nb1ukYBGCCGEEEKIH4G77roLu93O73//exoaGpg6dSovv/wyZrO5t7PWLZpqnmdPCCGEEEIIIfoZeYZGCCGEEEII0W9JQCOEEEIIIYTotySgEUIIIYQQQvRbEtAIIYQQQggh+i0JaIQQQgghhBD9lgQ0QgghhBBCiH5LAhohhBBCCCFEvyUBTQ964YUXuO6661q8dujQIa699lqSkpJITk5m9erVLd7Py8tj48aNrn8nJyfzj3/8wyP5Fe1rrxwBsrKySEpKIicnp8XrR48e5fPPP3f9e8SIEaxdu7ansylOor3y++yzz1i6dCkTJ04kOTmZJ554goaGBtf7UoZ9S01NDRMmTGDmzJnYbLbTbl9XV8drr73mgZydGex2O6+88gpLlixh4sSJzJgxg5tvvplt27b1dtaEm23YsIFly5aRlJTExIkTWbp0KW+88UaHPrt9+3ZGjBjR5p4nRF8gAU0Pee211/jb3/7W4rXy8nJuuukmBg4cyJo1a/jFL37B008/zZo1a1zb/OY3v+HLL7/0cG7FybRXjgBpaWncfPPN1NfXt3nv9ttvJyUlxQO5E6fTXvnt3LmTO++8k/PPP59169bx8MMPs2nTJpYvX+7aRsqwb9m4cSNhYWFUV1fzySefnHb7lStX8vLLL3sgZ/1fY2Mj119/PatWreK6665j3bp1rFq1ioSEBG666Sbee++93s6icJN33nmHhx9+mGXLlrFu3TrWrFnDokWL+POf/8zzzz9/2s9PnDiRr776ipiYGA/kVojOMfV2Bs40hYWFPPzww2zfvp3Bgwe3eO+tt97CbDbzyCOPYDKZSEhIICsrixUrVrB06dLeybBo16nK8YUXXuDf//43Q4YMkZaqPupU5ffGG28wffp0fvaznwEwePBg7r33Xn7/+9+zfPlyvLy8eiHH4lTWrFnD7NmzycvL44033mD+/Pmn3F4p5aGc9X/PPfcchw8f5v33329RUX3ooYeoqanhz3/+M8nJyfj5+fViLoU7/O9//2Pp0qVcfvnlrteGDh1KYWEhq1ev5s477zzl5728vIiIiOjpbArRJdJD42bff/89ZrOZDRs2MGHChBbv7dy5k2nTpmEy/RBHzpgxg8zMTEpKSrjuuuvYsWMH69atIzk52bVNcXExd955J0lJSUyfPp3HH38ch8PhsX36MTpVOX766ac8/vjj/OY3v2nzueTkZHJzc3n++edbDHPKyMjgxhtvZNy4ccyePZsXXnihx/fhx+xU5XfzzTe3KTuDwYDNZqOmpkbKsI9JS0tj3759nH322VxwwQVs376djIwM1/vNQwbnz5/P9OnTue6663j++efJzc11DY8pLS3lrrvuYvr06YwfP56rrrqKHTt29OJe9Q02m401a9awZMmSdlvd77nnHl588UUsFgsVFRUsX76cc845x3UMt2/f7tr2H//4BzfeeCPPP/88M2fOZOLEifzxj38kPz+f22+/nQkTJnD++ee3GMqZnJzMihUruO2225gwYQLJycl8+umnfPrpp1x44YUkJSXx05/+lNLSUtdn0tLSuPXWW5k4cSKzZs3i/vvvp7i42PX+ddddxx/+8AeuuOIKpkyZwoYNGwDnUKuFCxcyfvx4zj33XF555RXXZ6qrq/nDH/7AjBkzmDx5Mtdff/0Z2UNrMBjYs2cPlZWVLV6/7bbbePPNNwHnb+K5555j3rx5TJgwgSVLlvD1118DbYecWa1WnnrqKWbPns3EiRNZtmwZX331lSvdtWvXcv7557v+f+zYsSxZsoRdu3a5tjnV98Hpy1sIFyV6zG9+8xt17bXXuv69YMEC9eSTT7bY5ujRoyoxMVHt379flZeXqyuvvFLdfffdqrS0VCml1Lx589SoUaPUqlWr1PHjx9Xbb7+tEhMT1dtvv+3Rffkxa12OzbZt26YSExNVdna267XS0lI1Z84c9Ze//EWVl5crpZRKTExUSUlJat26der48ePqn//8p0pMTFTffPONp3bhR+1k5dfMarWqxYsXqyVLliilpAz7mr/85S8qKSlJ1dfXq/LycjVmzBj12GOPud6fN2+eGjt2rPr666/V/v37VVVVlfrLX/6i5syZo4qKipTdbld33nmnuu2229SRI0dUZmam+u1vf6smT56samtre3HPel9aWppKTExUmzZtOuV2drtdLV68WC1YsEBt375dHT16VP3hD39QY8aMUfv27VNKKfX3v/9djRkzRt13330qPT1dvfPOOyoxMVHNnDlTrVu3Th07dkzdfvvtavr06UrXdaWUs+wmTJig1q1bp7KystQdd9yhJk6cqJYuXar27dunvv32WzV16lT1+OOPK6WUKigoUNOmTVN/+tOf1LFjx1RKSoq67bbb1Lx581xlee2116oRI0aoDRs2qMOHD6uysjK1ceNGNXLkSPXSSy+pjIwM9f7776uxY8eqNWvWKF3X1ZVXXqluuOEGtXfvXnXs2DH1zDPPqDFjxqjvv/++B4++533wwQdq5MiRavz48erWW29VL7zwgtq3b5+rPJRS6uGHH1YzZsxQH3zwgcrKylJ//etf1dixY1VaWlqbe959992nLrvsMrVt2zaVkZGhVq5cqcaMGaO2bNmilFJqzZo1asyYMeqKK65Qe/bsUUeOHFHXXHONOu+881zfearv60h5C9FMhpx5UENDQ5vhLN7e3oBzHHNwcDBmsxmLxUJoaKhrmwsuuIAbbrgBgPj4eFavXs2BAwdadBuLviE0NBSj0Yivry/BwcGu16+55hoWLVoEwM9//nNWrlzJgQMHOOuss3onowJwPgz9wAMPcPToUddD5FKGfYfdbmfDhg0kJydjsViwWCzMmjWL9evXc99997mun+eccw4zZ850fc7X1xej0egaHnP8+HESExOJj4/HYrHw0EMPcemll2I0Gntlv/qK5pb6oKCgU2731Vdf8f333/Pee++RmJgIwPLly0lJSeHll1/mueeeA0DXdZYvX46/vz9DhgzhqaeeYsaMGa7z5uqrr2bLli0UFxcTGRkJwNy5c13vL1u2jM2bN3Pvvfcyfvx4AGbOnMnRo0cBeP3114mOjub3v/+9K29/+9vfmDFjBh9++CFLliwBYNSoUVx66aWubV555RXmz5/PT3/6U8A5zLS2thaLxcK2bdvYu3cv27Ztc53v9913H7t372b16tX85S9/6dKx7YsuuugioqOjWb16NV9//TVbt24FnMfjscceY8SIEbzzzjv84Q9/4KKLLgLg3nvvRSlFTU1Ni7SysrJ4//33Wb9+PaNGjQLgpptuIjU1lZdffpm5c+cCzh6Y5cuXt9jmF7/4BcXFxfj6+p7y+zZs2NCh8hYC5Bkaj7JYLFit1havNTY2As4b8Mm0fgYgKCjI9TnRP7Quw8DAQCnDXlZTU8M999zDjh07eP75510VqJORMvS8rVu3UlJSwiWXXOJ67ZJLLmHLli188MEHrorwoEGDTpnOnXfeya9//Ws++ugjJk+ezKxZs1iwYIErIPqxam44q6ioOOV2R44cISAgwBXMAGiaxpQpU1oMMQoLC8Pf39/1b19fXwYOHOj6t8ViAWhxHzyx7Hx8fADafKZ5yNnBgwc5evQoEydObJG/xsZG0tLS2k2zOf8n/obAGTwBvPTSSyilmDdvXov3rVbrGXl+JyUlkZSUhK7rpKamsnXrVl599VVuvfVWVq1ahc1mazNM97777gNoMcTw4MGDgLOh50Q2m43AwMAWryUkJLj+OyAgwLVdRkbGKb/v+eef71B5CwES0HhUdHQ0RUVFLV5r/ndUVNRJP9deK6KSh177FSnDvqWoqIhbb72V3NxcXn75ZaZOnXraz0gZel7zVNntPaz8xhtvuAKa5oryyZx//vl8+eWXfPnll3zzzTf85z//4fnnn+ett95i+PDhbs93fxEfH094eDi7d+9ud6KFtLQ0Hn30USZNmtTu55VSLZ4JNZvNbbYxGE79qO6Jn2+maVq72+q6zowZM3j44YfbvNdcUYa2v4f2vuPENP39/dudlv1MmiCkoKCAF154gdtvv53o6GgMBgOjR49m9OjRnHfeeSxYsIAvvviiw+k1X/tee+21NhNGtC7z9o6jUqrd38uJOlreQoBMCuBRU6dOZdeuXS0e6N+2bRtDhgwhLCysF3MmxI9HZWUlN9xwA2VlZbz22msdCmaE55WWlrJ161aWLFnC+vXrW/wtXbqUPXv2cOTIkXY/e2KF2Gq18vjjj5Odnc38+fP585//zKefforBYGjxgPqPkcFg4PLLL2ft2rXk5+e3ef+ll14iJSWFsWPHUl1d3eJ4K6XYtWsXw4YN81h+hw8fTlpaGjExMQwaNIhBgwYRFBTEY489dtLfAjh7CFo/5P/4449z1113kZiYSE1NDTabzZXmoEGDePHFF9m8eXNP75LHeHl58fbbb7smSThRc4/KtGnTMJvNbY7VsmXLWLVqVYvXmhsCiouLWxy3tWvXdnjNrkGDBp3y+7pa3uLHSQIaD1q6dCk1NTU89NBDHDt2jLVr17Jq1Spuv/121zZ+fn7k5uZSUFDQizkV3eHn5+eauU70Pc2V26eeeorQ0FCKi4tdf82NDVKGvW/Dhg3Y7XZuvfVWEhMTW/z97Gc/w2AwnHRBQF9fXyorK8nIyEDTNFJSUvjDH/7A3r17ycnJYe3atdTV1bUZyvJj9LOf/YzBgwdzzTXXsH79eo4fP87+/ft58MEHWb9+PX/605+YPXs2o0aN4v7772fHjh2kpaXxyCOPcOTIEdfznZ5wzTXXUF1dza9+9StSU1NJTU3l3nvvJSUlpcVwuNZuu+02Nm3axH//+1+OHz/Oe++9x+uvv05ycrJr3+699162bdtGVlYWjz/+OGvXrm0xVKq/Cw0N5ZZbbuG5557j2Wef5dChQ2RnZ7NlyxbuvPNOpk+fzrRp07j22mt57rnn2Lx5M8ePH+evf/0rR44cYc6cOS3SGz58OPPmzePhhx/ms88+Izs7mxdffJEXXnihxZDBU/Hx8Tnl93W1vMWPkww586CwsDBeeuklHn30URYvXkxERAQPPPAAixcvdm1z1VVX8Zvf/IaFCxfy7bff9mJuRVddd911PPHEExw9erTd1jDRexwOB5s2bcJms7VbEdu8eTNxcXFShn3A2rVrmTlzJkOHDm3z3sCBAznvvPPYsGFDu8OJLrjgAt566y0WLlzIq6++yrPPPsvjjz/OHXfcQXV1NUOHDuXpp59mypQpntiVPs3Hx4dXX32VlStX8uKLL5KXl4fFYmH06NH897//dR2jlStX8sQTT3DnnXditVoZO3Ysq1atIikpyWN5jY+P59VXX+WZZ57h6quvxmg0MmnSJFavXt1iIp3WkpOTeeSRR3jxxRd54okniI2N5cEHH3QNWVy5ciVPPfUU99xzD/X19SQkJPD888+fcRN+3HPPPQwePJi33nqL1157jYaGBgYMGMDFF1/sali97777MBqNPPzww1RXVzNy5EhWrFjB0KFD20yX/Oyzz/Lss8/yxz/+kcrKSgYOHOiq33TUqb4P6FJ5ix8nTckgcCGEEEIIIUQ/JUPOhBBCCCGEEP2WBDRCCCGEEEKIfksCGiGEEEIIIUS/JQGNEEIIIYQQot+SgEYIIYQQQgjRb0lAI4QQQgghhOi3JKARQgghhBBC9FuysKYQ4oyXkpLC6tWr+e677ygrKyMyMpKzzjqL2267jfj4eABGjBjBnXfeyS9/+ctezq3njRgxos1r3t7exMfHs2jRIn76059iMEj7lxBCiL5JAhohxBnttdde47HHHmP69Oncf//9REZGkpWVxcsvv8zHH3/MK6+8wsiRI3s7m73u8ssv54orrnD9u76+no8//pinn36aqqoq7r///l7MnRBCCHFyEtAIIc5Yu3bt4tFHH+UnP/kJDz30kOv16dOnc95557Fo0SJ+97vfsXbt2l7MZd8QHR1NUlJSi9fOOuss0tPTee2117jrrrswm829kzkhhBDiFGQMgRDijPXyyy8TEBDAfffd1+a90NBQfvvb33LuuedSV1fX5v3U1FTuvPNOZsyYwZgxY5g9ezZ//vOfaWhocG3z9ddfs2zZMiZOnMjUqVO54447SEtLc71//PhxfvaznzF9+nQmTJjAlVdeydatWzu9H0VFRTz44IOcc845jB8/nssvv5zNmze32GbEiBE8//zzLFmyhPHjx/P88893+nvaM3bsWGpra6msrDzl92RmZnLXXXdx9tlnk5SUxHXXXceuXbva7Me9997LtGnTmDp1Kn/84x959tlnSU5Odm2TnJzMY489xg033MD48eNdgWhHymPEiBG8/vrr/Pa3v2Xy5MlMmzbNtc0TTzzBjBkzmD59Og899BCNjY1uOT5CCCF6n/TQCCHOSEopvvrqK5KTk/Hx8Wl3m/nz57f7elFRET/5yU9ISkriL3/5C15eXnzxxRf85z//ITIykttuu43s7Gx+/vOfs3TpUu677z6qqqr461//ym233cYnn3wCwO23305kZCRPPvkkJpOJ1atXc8cdd/DBBx8waNCgDu1HSUkJl19+Od7e3tx7772EhISwdu1afvGLX/Dkk0+ycOFC17b//ve/uf/++xkyZAixsbGdPGLty8jIwM/Pj7CwsJN+z7Fjx1i2bBmDBw/m97//PWazmdWrV3PDDTewcuVKpk2bhtVq5YYbbqCuro7f/e53+Pv7s2LFCg4dOkRERESL73zttde46aabuPXWW/Hz8+tQeTR76qmnWLBgAc8//zxbtmzhlVde4auvvmLkyJE8/fTT7N27l3/84x8MGTKEW265xS3HSAghRO+SgEYIcUYqLy+nsbGRuLi4Tn/2yJEjjBo1iueeew5/f38AZs6cyddff8327du57bbb2L9/Pw0NDdx+++1ERUUBzmFbmzdvpq6ujvr6etLT0/n5z3/OOeecA+Dq0bBarR3Oy3/+8x/Kysr46KOPXEHKOeecw4033siTTz7JggULXA/sT5kyhZtuuqnT+wug6zp2ux1wBoMlJSW89957fPbZZ9xyyy1omubatvX33HPPPXh5ebF69WrX8Zo7dy4LFizgySef5J133mHDhg2kp6ezZs0axo4dC8CMGTM477zz2uRlwIAB/OpXv3L9+6uvvjpteTQbNmwYjzzyCADTpk3j7bffxmaz8fTTT2MymZg1axYfffQRu3fv7tJxEkII0fdIQCOEOCMZjUYAHA5Hpz87a9YsZs2ahc1m49ixY2RlZXHkyBHKysoIDg4GYMKECXh7e3P55Zdz0UUXMWfOHKZPn8748eMB8PPzY9iwYfzhD3/gq6++YtasWcyZM4cHH3ywU3nZsWMHEydObNPjsnDhQh588EHS09MZNmwYAKNGjer0vjb717/+xb/+9a8Wr1ksFq688so2M7+1/p4dO3Ywb948V7ABYDKZuOSSS/jnP/9JbW0t27ZtIz4+3hXMAPj7+zNv3jy2b99+yvQ7Uh7NJk6c6Ppvo9FISEgIY8aMwWT64XYXHBxMdXV1B46KEEKI/kACGiHEGSkoKAg/Pz/y8vJOuk1dXR02m42goKAWr+u6zl//+ldee+016urqiImJYfz48Xh7e7u2iYuL49VXX2XFihW88847rF69msDAQK655hruueceNE1j5cqV/L//9//45JNPWL9+PWazmfPOO4/ly5e3+c6TqaysdE0tfaLw8HAAqqqqXK/5+vp2KM32LFu2jGXLlgGgaRp+fn7ExcW1OxFA6++prKx05ad1HpVS1NTUUF5e3mLYWrP2XmudfkfKo9mJQdXJ0hNCCHFmkYBGCHHGmjVrFtu3b6exsbHdyu9bb73FE088wTvvvNPi9RUrVrBq1SqWL1/OBRdcQEBAAOCc2vhEJw4h27VrF2+++Sb//ve/GTlyJBdffDFRUVH83//9Hw8//DCpqal8+OGHvPjii4SEhPDwww93aB+CgoIoLi5u83rzayEhIR1K53QiIyMZN25clz4bFBRESUlJm9dPzGNUVBSZmZlttiktLT1t+h0tDyGEED9OMsuZEOKMdfPNN1NRUcHf/va3Nu8VFxezcuVKhg0bxpgxY1q8t2vXLoYNG8bSpUtdlefCwkKOHDmCrusArFq1innz5mG1WvHy8uKss87iT3/6EwB5eXns2bOHmTNnsn//fjRNY9SoUdx7770kJiaesteotalTp7Jnzx5yc3NbvL5hwwYiIiI6PLlAT5o6dSpbtmyhpqbG9ZrD4WDjxo2MGzcOLy8vpk2bRk5ODocOHXJt09DQwJdffnna9DtSHkIIIX68pIdGCHHGSkpK4u677+Zvf/sbaWlpLFq0iJCQEI4ePcrLL79MY2Nju8HO+PHj+de//sWKFStISkoiKyuLF154AavVSn19PeB8oP3pp5/mF7/4Bddeey1Go5E33ngDLy8v5s2bR2xsLBaLhQceeIBf/vKXhIeH880333Do0CGuv/76Du/DTTfdxIYNG7jxxhu58847CQ4OZv369Wzbto3HHnvMNSFAb7rzzjv54osvuP7667ntttswm828+uqrZGdn89JLLwGwYMECVqxYwS9+8QvuvvtuAgMD+c9//kNpaSkDBgw4ZfodKQ8hhBA/XhLQCCHOaHfccQejR4/mtdde47HHHqOyspKYmBjmzp3Lz372M2JiYtp85vbbb6e8vJzVq1fzz3/+k5iYGC677DI0TeOFF16gqqqKkSNH8u9//5t//vOf3HfffTgcDsaOHcvKlSsZOnQoACtXruSZZ57h0UcfpaqqisGDB/PII4+wZMmSDuc/IiKC119/nWeeeYY///nP2Gw2Ro4cyb/+9S/OPfdctx2n7hg+fDj/+9//+Otf/8qDDz6IpmmMHz+e1atXM2XKFMA5ScDLL7/Mo48+yv/93/9hMplYuHAhwcHBZGRknDL9jpRHYGCgJ3ZVCCFEH6QppVRvZ0IIIcSZ7ejRo6Snp3PBBRe0mAL68ssvJzo62m0LgQohhPjxkR4aIYToBQ6Hg9O1J2ma5pp+uq+l31l1dXXcfffdXHPNNZx//vk4HA42bdrEgQMHWqw5I4QQQnSW9NAIIUQvSE5ObvOgf2vTpk3jv//9b5fSv+6669ixY8cpt4mNjeWzzz7rUvpd8eGHH/Lyyy+TlpaGUorRo0dzxx13MGvWLI/lQQghxJlHAhohhOgFhw8fxmq1nnIbPz8/1/M4nZWenk5tbe0pt/Hy8mLEiBFdSl8IIYToKySgEUIIIYQQQvRbvT/fpxBCCCGEEEJ0kQQ0QgghhBBCiH5LAhohhBBCCCFEvyUBjRBCCCGEEKLfkoBGCCGEEEII0W9JQCOEEEIIIYTotySgEUIIIYQQQvRbEtAIIYQQQggh+q3/DzcriAujWABaAAAAAElFTkSuQmCC",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Рассчитываем квартиль 1 (Q1) и квартиль 3 (Q3) для IQ\n",
|
||
"Q1 = df_students[\"IQ\"].quantile(0.25)\n",
|
||
"Q3 = df_students[\"IQ\"].quantile(0.75)\n",
|
||
"\n",
|
||
"# Рассчитываем межквартильный размах (IQR)\n",
|
||
"IQR = Q3 - Q1\n",
|
||
"\n",
|
||
"# Определяем порог для выбросов\n",
|
||
"threshold = 1.5 * IQR\n",
|
||
"lower_bound = Q1 - threshold\n",
|
||
"upper_bound = Q3 + threshold\n",
|
||
"\n",
|
||
"# Фильтруем выбросы\n",
|
||
"outliers = (df_students[\"IQ\"] < lower_bound) | (df_students[\"IQ\"] > upper_bound)\n",
|
||
"\n",
|
||
"# Вывод выбросов\n",
|
||
"print(\"Выбросы в Student Data:\")\n",
|
||
"print(df_students[outliers])\n",
|
||
"\n",
|
||
"# Заменяем выбросы на медианные значения\n",
|
||
"median_iq = df_students[\"IQ\"].median()\n",
|
||
"df_students.loc[outliers, \"IQ\"] = median_iq\n",
|
||
"\n",
|
||
"# Визуализация плотности точек с использованием hexbin\n",
|
||
"plt.figure(figsize=(10, 6))\n",
|
||
"plt.hexbin(df_students['Class_or_Program_encoded'], df_students['IQ'], gridsize=30, cmap='coolwarm')\n",
|
||
"plt.colorbar(label='IQ')\n",
|
||
"# Настройка оси X, чтобы отображать текстовые метки вместо чисел\n",
|
||
"plt.xticks(ticks=range(len(label_encoder.classes_)), labels=label_encoder.classes_)\n",
|
||
"plt.xlabel('Class_or_Program')\n",
|
||
"plt.ylabel('IQ')\n",
|
||
"plt.title('Scatter Plot of Class_or_Program vs IQ (Before Cleaning)')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Разбиение набора данных на обучающую, контрольную и тестовую выборки"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 22,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Размер обучающей выборки: 30000\n",
|
||
"Размер контрольной выборки: 10000\n",
|
||
"Размер тестовой выборки: 10000\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Разделение на обучающую и тестовую выборки\n",
|
||
"train_df, test_df = train_test_split(df_students, test_size=0.2, random_state=42)\n",
|
||
"\n",
|
||
"# Разделение обучающей выборки на обучающую и контрольную\n",
|
||
"train_df, val_df = train_test_split(train_df, test_size=0.25, random_state=42)\n",
|
||
"\n",
|
||
"print(\"Размер обучающей выборки:\", len(train_df))\n",
|
||
"print(\"Размер контрольной выборки:\", len(val_df))\n",
|
||
"print(\"Размер тестовой выборки:\", len(test_df))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Видим недостаток баланса"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 23,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Распределение Class_or_Program в обучающей выборке:\n",
|
||
"Class_or_Program\n",
|
||
"12th 5072\n",
|
||
"11th 5070\n",
|
||
"10th 5067\n",
|
||
"Commerce 4988\n",
|
||
"Science 4915\n",
|
||
"Arts 4888\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n",
|
||
"Распределение Class_or_Program в контрольной выборке:\n",
|
||
"Class_or_Program\n",
|
||
"10th 1722\n",
|
||
"Science 1693\n",
|
||
"Arts 1676\n",
|
||
"12th 1661\n",
|
||
"11th 1637\n",
|
||
"Commerce 1611\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n",
|
||
"Распределение Class_or_Program в тестовой выборке:\n",
|
||
"Class_or_Program\n",
|
||
"10th 1713\n",
|
||
"Science 1692\n",
|
||
"12th 1669\n",
|
||
"11th 1648\n",
|
||
"Commerce 1641\n",
|
||
"Arts 1637\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"def check_balance(df, name):\n",
|
||
" counts = df['Class_or_Program'].value_counts()\n",
|
||
" print(f\"Распределение Class_or_Program в {name}:\")\n",
|
||
" print(counts)\n",
|
||
" print()\n",
|
||
"\n",
|
||
"check_balance(train_df, \"обучающей выборке\")\n",
|
||
"check_balance(val_df, \"контрольной выборке\")\n",
|
||
"check_balance(test_df, \"тестовой выборке\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Используем oversample и undersample"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 24,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Оверсэмплинг:\n",
|
||
"Распределение Class_or_Program в обучающей выборке:\n",
|
||
"Class_or_Program\n",
|
||
"10th 5072\n",
|
||
"12th 5072\n",
|
||
"Science 5072\n",
|
||
"11th 5072\n",
|
||
"Commerce 5072\n",
|
||
"Arts 5072\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n",
|
||
"Распределение Class_or_Program в контрольной выборке:\n",
|
||
"Class_or_Program\n",
|
||
"Arts 1722\n",
|
||
"Science 1722\n",
|
||
"10th 1722\n",
|
||
"Commerce 1722\n",
|
||
"11th 1722\n",
|
||
"12th 1722\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n",
|
||
"Распределение Class_or_Program в тестовой выборке:\n",
|
||
"Class_or_Program\n",
|
||
"Science 1713\n",
|
||
"11th 1713\n",
|
||
"Commerce 1713\n",
|
||
"12th 1713\n",
|
||
"10th 1713\n",
|
||
"Arts 1713\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n",
|
||
"Андерсэмплинг:\n",
|
||
"Распределение Class_or_Program в обучающей выборке:\n",
|
||
"Class_or_Program\n",
|
||
"10th 4888\n",
|
||
"11th 4888\n",
|
||
"12th 4888\n",
|
||
"Arts 4888\n",
|
||
"Commerce 4888\n",
|
||
"Science 4888\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n",
|
||
"Распределение Class_or_Program в контрольной выборке:\n",
|
||
"Class_or_Program\n",
|
||
"10th 1611\n",
|
||
"11th 1611\n",
|
||
"12th 1611\n",
|
||
"Arts 1611\n",
|
||
"Commerce 1611\n",
|
||
"Science 1611\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n",
|
||
"Распределение Class_or_Program в тестовой выборке:\n",
|
||
"Class_or_Program\n",
|
||
"10th 1637\n",
|
||
"11th 1637\n",
|
||
"12th 1637\n",
|
||
"Arts 1637\n",
|
||
"Commerce 1637\n",
|
||
"Science 1637\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"train_df_oversampled = oversample(train_df, 'Class_or_Program')\n",
|
||
"val_df_oversampled = oversample(val_df, 'Class_or_Program')\n",
|
||
"test_df_oversampled = oversample(test_df, 'Class_or_Program')\n",
|
||
"\n",
|
||
"train_df_undersampled = undersample(train_df, 'Class_or_Program')\n",
|
||
"val_df_undersampled = undersample(val_df, 'Class_or_Program')\n",
|
||
"test_df_undersampled = undersample(test_df, 'Class_or_Program')\n",
|
||
"\n",
|
||
"# Проверка сбалансированности после oversampling\n",
|
||
"print(\"Оверсэмплинг:\")\n",
|
||
"check_balance(train_df_oversampled, \"обучающей выборке\")\n",
|
||
"check_balance(val_df_oversampled, \"контрольной выборке\")\n",
|
||
"check_balance(test_df_oversampled, \"тестовой выборке\")\n",
|
||
"\n",
|
||
"# Проверка сбалансированности после undersampling\n",
|
||
"print(\"Андерсэмплинг:\")\n",
|
||
"check_balance(train_df_undersampled, \"обучающей выборке\")\n",
|
||
"check_balance(val_df_undersampled, \"контрольной выборке\")\n",
|
||
"check_balance(test_df_undersampled, \"тестовой выборке\")"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3",
|
||
"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": "3.12.5"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 2
|
||
}
|