CS690 Predict DJI Movement Based on Reddit Headlines TFIDF Values.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns \n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "sns.set(style=\"white\", color_codes=True)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Data Wrangling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3078, 3)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('./stocknews/combined_reddit_dj_2008_2020.csv')\n",
    "data_copy=data.copy()\n",
    "data.shape\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We collected data from 2008-02-07 to 2020-04-30\n"
     ]
    }
   ],
   "source": [
    "print('We collected data from {} to {}'.format(data.Date.min(), data.Date.max()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Headlines</th>\n",
       "      <th>Label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>2008-02-07</td>\n",
       "      <td>Australia released grisly surveillance picture...</td>\n",
       "      <td>Down</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2008-02-08</td>\n",
       "      <td>\"They said when--not if--martial law is declar...</td>\n",
       "      <td>Up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>2008-02-11</td>\n",
       "      <td>U.S. bombing in Iraq massacring civilians, cre...</td>\n",
       "      <td>Down</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>2008-02-12</td>\n",
       "      <td>BBC cover Anonymous Scientology Protests!. Aus...</td>\n",
       "      <td>Down</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>2008-02-13</td>\n",
       "      <td>Gang-Rape Victim Says She and 38 Others Silenc...</td>\n",
       "      <td>Down</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>2008-02-14</td>\n",
       "      <td>Top Secret Photos from Iran. France's Sarkozy ...</td>\n",
       "      <td>Up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>2008-02-15</td>\n",
       "      <td>Israel’s army chief orders IDF land, sea and a...</td>\n",
       "      <td>Up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>2008-02-19</td>\n",
       "      <td>Over Five Million Dead in Congo? How Truth is ...</td>\n",
       "      <td>Up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>2008-02-20</td>\n",
       "      <td>The missile shoots... it scores! (The Spy Sate...</td>\n",
       "      <td>Down</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>2008-02-21</td>\n",
       "      <td>A US businesswoman fears for her life after Sa...</td>\n",
       "      <td>Up</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date                                          Headlines Label\n",
       "0  2008-02-07  Australia released grisly surveillance picture...  Down\n",
       "1  2008-02-08  \"They said when--not if--martial law is declar...    Up\n",
       "2  2008-02-11  U.S. bombing in Iraq massacring civilians, cre...  Down\n",
       "3  2008-02-12  BBC cover Anonymous Scientology Protests!. Aus...  Down\n",
       "4  2008-02-13  Gang-Rape Victim Says She and 38 Others Silenc...  Down\n",
       "5  2008-02-14  Top Secret Photos from Iran. France's Sarkozy ...    Up\n",
       "6  2008-02-15  Israel’s army chief orders IDF land, sea and a...    Up\n",
       "7  2008-02-19  Over Five Million Dead in Congo? How Truth is ...    Up\n",
       "8  2008-02-20  The missile shoots... it scores! (The Spy Sate...  Down\n",
       "9  2008-02-21  A US businesswoman fears for her life after Sa...    Up"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date         0\n",
       "Headlines    0\n",
       "Label        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Detect whether there is miss value\n",
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Down    1660\n",
       "Up      1418\n",
       "Name: Label, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.Label.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Applying TF-IDF Vectorizer\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Before tf-idf, I clean the text\n",
    "# A list of contractions from http://stackoverflow.com/questions/19790188/expanding-english-language-contractions-in-python\n",
    "contractions = { \n",
    "\"ain't\": \"am not\",\n",
    "\"aren't\": \"are not\",\n",
    "\"can't\": \"cannot\",\n",
    "\"can't've\": \"cannot have\",\n",
    "\"'cause\": \"because\",\n",
    "\"could've\": \"could have\",\n",
    "\"couldn't\": \"could not\",\n",
    "\"couldn't've\": \"could not have\",\n",
    "\"didn't\": \"did not\",\n",
    "\"doesn't\": \"does not\",\n",
    "\"don't\": \"do not\",\n",
    "\"hadn't\": \"had not\",\n",
    "\"hadn't've\": \"had not have\",\n",
    "\"hasn't\": \"has not\",\n",
    "\"haven't\": \"have not\",\n",
    "\"he'd\": \"he would\",\n",
    "\"he'd've\": \"he would have\",\n",
    "\"he'll\": \"he will\",\n",
    "\"he's\": \"he is\",\n",
    "\"how'd\": \"how did\",\n",
    "\"how'll\": \"how will\",\n",
    "\"how's\": \"how is\",\n",
    "\"i'd\": \"i would\",\n",
    "\"i'll\": \"i will\",\n",
    "\"i'm\": \"i am\",\n",
    "\"i've\": \"i have\",\n",
    "\"isn't\": \"is not\",\n",
    "\"it'd\": \"it would\",\n",
    "\"it'll\": \"it will\",\n",
    "\"it's\": \"it is\",\n",
    "\"let's\": \"let us\",\n",
    "\"ma'am\": \"madam\",\n",
    "\"mayn't\": \"may not\",\n",
    "\"might've\": \"might have\",\n",
    "\"mightn't\": \"might not\",\n",
    "\"must've\": \"must have\",\n",
    "\"mustn't\": \"must not\",\n",
    "\"needn't\": \"need not\",\n",
    "\"oughtn't\": \"ought not\",\n",
    "\"shan't\": \"shall not\",\n",
    "\"sha'n't\": \"shall not\",\n",
    "\"she'd\": \"she would\",\n",
    "\"she'll\": \"she will\",\n",
    "\"she's\": \"she is\",\n",
    "\"should've\": \"should have\",\n",
    "\"shouldn't\": \"should not\",\n",
    "\"that'd\": \"that would\",\n",
    "\"that's\": \"that is\",\n",
    "\"there'd\": \"there had\",\n",
    "\"there's\": \"there is\",\n",
    "\"they'd\": \"they would\",\n",
    "\"they'll\": \"they will\",\n",
    "\"they're\": \"they are\",\n",
    "\"they've\": \"they have\",\n",
    "\"wasn't\": \"was not\",\n",
    "\"we'd\": \"we would\",\n",
    "\"we'll\": \"we will\",\n",
    "\"we're\": \"we are\",\n",
    "\"we've\": \"we have\",\n",
    "\"weren't\": \"were not\",\n",
    "\"what'll\": \"what will\",\n",
    "\"what're\": \"what are\",\n",
    "\"what's\": \"what is\",\n",
    "\"what've\": \"what have\",\n",
    "\"where'd\": \"where did\",\n",
    "\"where's\": \"where is\",\n",
    "\"who'll\": \"who will\",\n",
    "\"who's\": \"who is\",\n",
    "\"won't\": \"will not\",\n",
    "\"wouldn't\": \"would not\",\n",
    "\"you'd\": \"you would\",\n",
    "\"you'll\": \"you will\",\n",
    "\"you're\": \"you are\"\n",
    "}\n",
    "import re\n",
    "def clean_text(text, remove_stopwords = True):\n",
    "    '''Remove unwanted characters and format the text to create fewer nulls word embeddings'''\n",
    "    \n",
    "    # Convert words to lower case\n",
    "    text = text.lower()\n",
    "    \n",
    "    # Replace contractions with their longer forms \n",
    "    if True:\n",
    "        text = text.split()\n",
    "        new_text = []\n",
    "        for word in text:\n",
    "            if word in contractions:\n",
    "                new_text.append(contractions[word])\n",
    "            else:\n",
    "                new_text.append(word)\n",
    "        text = \" \".join(new_text)\n",
    "    \n",
    "    # Format words and remove unwanted characters\n",
    "    text = re.sub(r'&amp;', '', text) \n",
    "    text = re.sub(r'0,0', '00', text) \n",
    "    text = re.sub(r'[_\"\\-;%()|.,+&=*%.,!?:#@\\[\\]]', ' ', text)\n",
    "    text = re.sub(r'\\'', ' ', text)\n",
    "    text = re.sub(r'\\$', ' $ ', text)\n",
    "    text = re.sub(r'u s ', ' united states ', text)\n",
    "    text = re.sub(r'u n ', ' united nations ', text)\n",
    "    text = re.sub(r'u k ', ' united kingdom ', text)\n",
    "    text = re.sub(r'j k ', ' jk ', text)\n",
    "    text = re.sub(r' s ', ' ', text)\n",
    "    text = re.sub(r' yr ', ' year ', text)\n",
    "    text = re.sub(r' l g b t ', ' lgbt ', text)\n",
    "    text = re.sub(r'0km ', '0 km ', text)\n",
    "    text = re.sub(r'\\[[0-9]*\\]',' ',text)\n",
    "    text = re.sub(r'\\s+',' ',text)\n",
    "    text = re.sub(r'\\d',' ',text)\n",
    "    \n",
    "    return text\n",
    "data['Headlines'] = data['Headlines'].apply(lambda x: clean_text(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "tfvec = TfidfVectorizer(ngram_range=(1, 2), stop_words='english', min_df=0.05, max_df=0.95)\n",
    "tfidf_df = pd.DataFrame(tfvec.fit_transform(data.Headlines).toarray(), columns=tfvec.get_feature_names())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.concat([data,tfidf_df],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3078, 998)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Headlines</th>\n",
       "      <th>Label</th>\n",
       "      <th>able</th>\n",
       "      <th>abortion</th>\n",
       "      <th>abuse</th>\n",
       "      <th>access</th>\n",
       "      <th>according</th>\n",
       "      <th>accounts</th>\n",
       "      <th>accused</th>\n",
       "      <th>...</th>\n",
       "      <th>wrong</th>\n",
       "      <th>year</th>\n",
       "      <th>year old</th>\n",
       "      <th>years</th>\n",
       "      <th>years ago</th>\n",
       "      <th>years prison</th>\n",
       "      <th>yemen</th>\n",
       "      <th>young</th>\n",
       "      <th>zealand</th>\n",
       "      <th>zimbabwe</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>2008-02-07</td>\n",
       "      <td>australia released grisly surveillance picture...</td>\n",
       "      <td>Down</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.092601</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2008-02-08</td>\n",
       "      <td>they said when not if martial law is declared...</td>\n",
       "      <td>Up</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>2008-02-11</td>\n",
       "      <td>united states bombing in iraq massacring civi...</td>\n",
       "      <td>Down</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.119563</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 998 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date                                          Headlines Label  able  \\\n",
       "0  2008-02-07  australia released grisly surveillance picture...  Down   0.0   \n",
       "1  2008-02-08   they said when not if martial law is declared...    Up   0.0   \n",
       "2  2008-02-11   united states bombing in iraq massacring civi...  Down   0.0   \n",
       "\n",
       "   abortion  abuse    access  according  accounts  accused  ...  wrong  year  \\\n",
       "0       0.0    0.0  0.000000        0.0       0.0      0.0  ...    0.0   0.0   \n",
       "1       0.0    0.0  0.000000        0.0       0.0      0.0  ...    0.0   0.0   \n",
       "2       0.0    0.0  0.119563        0.0       0.0      0.0  ...    0.0   0.0   \n",
       "\n",
       "   year old     years  years ago  years prison  yemen  young  zealand  \\\n",
       "0       0.0  0.092601        0.0           0.0    0.0    0.0      0.0   \n",
       "1       0.0  0.000000        0.0           0.0    0.0    0.0      0.0   \n",
       "2       0.0  0.000000        0.0           0.0    0.0    0.0      0.0   \n",
       "\n",
       "   zimbabwe  \n",
       "0       0.0  \n",
       "1       0.0  \n",
       "2       0.0  \n",
       "\n",
       "[3 rows x 998 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Visualization of features in dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Explore each labels's word character\n",
    "up_headline = ' '.join(data[data.Label=='Up'].Headlines)\n",
    "down_headline = ' '.join(data[data.Label=='Down'].Headlines)\n",
    "\n",
    "from nltk.tokenize import word_tokenize\n",
    "up_word = word_tokenize(up_headline)\n",
    "down_word = word_tokenize(down_headline)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 617238 words in Up \n",
      "There are 724990 words in Down\n"
     ]
    }
   ],
   "source": [
    "print('There are %d words in Up'%len(up_word),'\\nThere are %d words in Down'%len(down_word))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Explore top frequent 50 words in each Label\n",
    "from collections import Counter\n",
    "up_count_50 = pd.DataFrame(Counter(up_word).most_common(50),columns=['Up_word','Up_count'])\n",
    "down_count_50 = pd.DataFrame(Counter(down_word).most_common(50),columns=['Down_word','Down_count'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\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>Up_word</th>\n",
       "      <th>Up_count</th>\n",
       "      <th>Down_word</th>\n",
       "      <th>Down_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>the</td>\n",
       "      <td>21017</td>\n",
       "      <td>the</td>\n",
       "      <td>24626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>to</td>\n",
       "      <td>18543</td>\n",
       "      <td>to</td>\n",
       "      <td>22174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>in</td>\n",
       "      <td>15445</td>\n",
       "      <td>of</td>\n",
       "      <td>18050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>of</td>\n",
       "      <td>15262</td>\n",
       "      <td>in</td>\n",
       "      <td>18044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>a</td>\n",
       "      <td>11011</td>\n",
       "      <td>a</td>\n",
       "      <td>12706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>and</td>\n",
       "      <td>8505</td>\n",
       "      <td>and</td>\n",
       "      <td>10153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>for</td>\n",
       "      <td>6868</td>\n",
       "      <td>for</td>\n",
       "      <td>7963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>on</td>\n",
       "      <td>5488</td>\n",
       "      <td>on</td>\n",
       "      <td>6400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>is</td>\n",
       "      <td>5269</td>\n",
       "      <td>is</td>\n",
       "      <td>6118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>’</td>\n",
       "      <td>3528</td>\n",
       "      <td>’</td>\n",
       "      <td>4144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>by</td>\n",
       "      <td>3429</td>\n",
       "      <td>by</td>\n",
       "      <td>4138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>that</td>\n",
       "      <td>3395</td>\n",
       "      <td>that</td>\n",
       "      <td>4000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>has</td>\n",
       "      <td>3340</td>\n",
       "      <td>with</td>\n",
       "      <td>3932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>with</td>\n",
       "      <td>3307</td>\n",
       "      <td>as</td>\n",
       "      <td>3734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>as</td>\n",
       "      <td>3207</td>\n",
       "      <td>has</td>\n",
       "      <td>3690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>from</td>\n",
       "      <td>3130</td>\n",
       "      <td>from</td>\n",
       "      <td>3617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>it</td>\n",
       "      <td>2607</td>\n",
       "      <td>it</td>\n",
       "      <td>3178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>are</td>\n",
       "      <td>2539</td>\n",
       "      <td>are</td>\n",
       "      <td>3001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>us</td>\n",
       "      <td>2463</td>\n",
       "      <td>us</td>\n",
       "      <td>2969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>not</td>\n",
       "      <td>2426</td>\n",
       "      <td>not</td>\n",
       "      <td>2815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>at</td>\n",
       "      <td>2342</td>\n",
       "      <td>at</td>\n",
       "      <td>2806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>have</td>\n",
       "      <td>2307</td>\n",
       "      <td>after</td>\n",
       "      <td>2765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>be</td>\n",
       "      <td>2271</td>\n",
       "      <td>have</td>\n",
       "      <td>2741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>after</td>\n",
       "      <td>2239</td>\n",
       "      <td>be</td>\n",
       "      <td>2716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>s</td>\n",
       "      <td>2026</td>\n",
       "      <td>s</td>\n",
       "      <td>2465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>united</td>\n",
       "      <td>2022</td>\n",
       "      <td>united</td>\n",
       "      <td>2367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>says</td>\n",
       "      <td>1993</td>\n",
       "      <td>says</td>\n",
       "      <td>2360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>will</td>\n",
       "      <td>1844</td>\n",
       "      <td>an</td>\n",
       "      <td>2236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>an</td>\n",
       "      <td>1821</td>\n",
       "      <td>will</td>\n",
       "      <td>2198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>new</td>\n",
       "      <td>1777</td>\n",
       "      <td>was</td>\n",
       "      <td>2153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>was</td>\n",
       "      <td>1763</td>\n",
       "      <td>new</td>\n",
       "      <td>2081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31</td>\n",
       "      <td>world</td>\n",
       "      <td>1752</td>\n",
       "      <td>states</td>\n",
       "      <td>2067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>states</td>\n",
       "      <td>1752</td>\n",
       "      <td>world</td>\n",
       "      <td>2027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33</td>\n",
       "      <td>over</td>\n",
       "      <td>1730</td>\n",
       "      <td>over</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34</td>\n",
       "      <td>china</td>\n",
       "      <td>1558</td>\n",
       "      <td>china</td>\n",
       "      <td>1850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>who</td>\n",
       "      <td>1527</td>\n",
       "      <td>trump</td>\n",
       "      <td>1812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36</td>\n",
       "      <td>trump</td>\n",
       "      <td>1483</td>\n",
       "      <td>who</td>\n",
       "      <td>1787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>they</td>\n",
       "      <td>1392</td>\n",
       "      <td>they</td>\n",
       "      <td>1626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38</td>\n",
       "      <td>its</td>\n",
       "      <td>1389</td>\n",
       "      <td>their</td>\n",
       "      <td>1579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39</td>\n",
       "      <td>russia</td>\n",
       "      <td>1369</td>\n",
       "      <td>government</td>\n",
       "      <td>1565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40</td>\n",
       "      <td>people</td>\n",
       "      <td>1355</td>\n",
       "      <td>people</td>\n",
       "      <td>1565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41</td>\n",
       "      <td>government</td>\n",
       "      <td>1308</td>\n",
       "      <td>russia</td>\n",
       "      <td>1550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42</td>\n",
       "      <td>police</td>\n",
       "      <td>1306</td>\n",
       "      <td>its</td>\n",
       "      <td>1540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43</td>\n",
       "      <td>their</td>\n",
       "      <td>1303</td>\n",
       "      <td>police</td>\n",
       "      <td>1506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44</td>\n",
       "      <td>been</td>\n",
       "      <td>1281</td>\n",
       "      <td>more</td>\n",
       "      <td>1485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45</td>\n",
       "      <td>$</td>\n",
       "      <td>1262</td>\n",
       "      <td>than</td>\n",
       "      <td>1477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46</td>\n",
       "      <td>israel</td>\n",
       "      <td>1261</td>\n",
       "      <td>his</td>\n",
       "      <td>1455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47</td>\n",
       "      <td>more</td>\n",
       "      <td>1252</td>\n",
       "      <td>year</td>\n",
       "      <td>1432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>48</td>\n",
       "      <td>his</td>\n",
       "      <td>1232</td>\n",
       "      <td>he</td>\n",
       "      <td>1427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>49</td>\n",
       "      <td>up</td>\n",
       "      <td>1201</td>\n",
       "      <td>$</td>\n",
       "      <td>1423</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Up_word  Up_count   Down_word  Down_count\n",
       "0          the     21017         the       24626\n",
       "1           to     18543          to       22174\n",
       "2           in     15445          of       18050\n",
       "3           of     15262          in       18044\n",
       "4            a     11011           a       12706\n",
       "5          and      8505         and       10153\n",
       "6          for      6868         for        7963\n",
       "7           on      5488          on        6400\n",
       "8           is      5269          is        6118\n",
       "9            ’      3528           ’        4144\n",
       "10          by      3429          by        4138\n",
       "11        that      3395        that        4000\n",
       "12         has      3340        with        3932\n",
       "13        with      3307          as        3734\n",
       "14          as      3207         has        3690\n",
       "15        from      3130        from        3617\n",
       "16          it      2607          it        3178\n",
       "17         are      2539         are        3001\n",
       "18          us      2463          us        2969\n",
       "19         not      2426         not        2815\n",
       "20          at      2342          at        2806\n",
       "21        have      2307       after        2765\n",
       "22          be      2271        have        2741\n",
       "23       after      2239          be        2716\n",
       "24           s      2026           s        2465\n",
       "25      united      2022      united        2367\n",
       "26        says      1993        says        2360\n",
       "27        will      1844          an        2236\n",
       "28          an      1821        will        2198\n",
       "29         new      1777         was        2153\n",
       "30         was      1763         new        2081\n",
       "31       world      1752      states        2067\n",
       "32      states      1752       world        2027\n",
       "33        over      1730        over        2010\n",
       "34       china      1558       china        1850\n",
       "35         who      1527       trump        1812\n",
       "36       trump      1483         who        1787\n",
       "37        they      1392        they        1626\n",
       "38         its      1389       their        1579\n",
       "39      russia      1369  government        1565\n",
       "40      people      1355      people        1565\n",
       "41  government      1308      russia        1550\n",
       "42      police      1306         its        1540\n",
       "43       their      1303      police        1506\n",
       "44        been      1281        more        1485\n",
       "45           $      1262        than        1477\n",
       "46      israel      1261         his        1455\n",
       "47        more      1252        year        1432\n",
       "48         his      1232          he        1427\n",
       "49          up      1201           $        1423"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.concat([up_count_50,down_count_50],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from wordcloud import WordCloud\n",
    "wordcloud = WordCloud(width = 500, height = 500, \n",
    "                background_color ='white', \n",
    "                min_font_size = 8).generate(up_headline) \n",
    "# plot the WordCloud image                        \n",
    "#plt.figure(figsize = (8, 8), facecolor = None) \n",
    "plt.imshow(wordcloud) \n",
    "plt.axis(\"off\") \n",
    "plt.tight_layout(pad = 0) \n",
    "  \n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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vbo67HIBlORtd0jWODJ3BVymNipvL35Fo6Rm01TAPsDRzFwaL5Gw5bd/XvHB4FQLB0wdXcu+fi/mj9DTPHfqBfRXSx2NbqbSC9sLhVTx9cCVZ9eU8eWCFHU1TKBW27r7ukP1odPlO6Xe64aK+ABjN9k6fdVq99XjS4F5tvreWMO3F9vm1yWSupuBn/1pL00DBjsLJbMy5kEOlbTPyCywcLX+ebQXj2ZgziMNlTznUf7D0UfLqvmdT7lB2Fl5Ptnqpi9oc0eYRV6BHMB9mvMX0CyRPa61Zg9asIUQVRogqDL1FZ6XdUdG2cIdG/pyGTBJ9L3DgT/BJxCIsvJTyJLP7fkiDqZ7UuhN2/IAd/8p85w8jxjvMLZkKtPZf3rS6PAA+SPueD9K+b5W/Ql/Trva7B0iKNb2+wB0xHZDoG8MJdZaD/B0Jd5+Bu7iry3Ay6iRnx3JdHQuG3kG9UUeopx/mM9Pr2YNuYNq+rxkalsSAkDhAMj+HevrxS8ExkvzDeaT75VYaV/j54Ckevcr2UWtUVJOH9mbDkdOkFNgvvPx4IMV6rJC3TzHcMWMxd15/EWazhfGX9+GTZdt56M6ReKqk17C4TE1RqZruXSLxc9cR8xzi19wRjEmQ7IZHy5/j9/zRjIpdj8KlwrRHjN94+oW/jgw5+0qmsrv4PwyL/spaXqrZQrjPcMYm7CNbvZRTVXMI874Ef1XXVutus+Ka3fdD1hf/yBNH78doMRDn05lpFzwDQJJvV66OnsyjR+5GKfPgjoT7uSQ02e26G/m/zv2cGmO1lf/Pym1WmnkDFrGpZB0zDk9hcMglPNb1Bealv2Hl/2DAYt5KfdHK/+HApQ4LBACGFuxuTSFvNs1qfIFuiEsm3qf1KUOsd3irNM4gzsQCtnea12hbay5/R8LdZ+Au3jqxnnJdHe8Ovtl637UmHVqzgdBmgdk1Bg1HqvJZlXeQAk01iX4KfJWerd5v/4RojuYWU1xTZ73WGHY5pm9XAry9uOWS/sxcuZlfj6czpq/0Ev14oPWRcmuIDPNn7KhebN4ujfZqarV25YdO5HP15c59pv4ODI+xjQT7h89mfXYfTlbOpm/YK63yypAT7j3Cej4wYi6/5l6CRRiQy2wLJ/H+UjheYuBdqA0pFDdsODeKC2B89LWMj77Wadm4qGsZF2UrGxg0xHocqgp3WDW8I+G+Vvmb0qjknlwTcwPXxNxgvda0Tg+5BzN72YzHzcsboXMSa+cMvs0yJQR4+KIzG+gV0JlLw92P+m+OBpO25XKzNHL1V7oXQ9kcGpPE31z+jsTZPoPmeLaPLTzmu5EPAhDjHcSr/e372oKh0ofo58ul6cv18Y6G6Eaa5ugdG8nR3GK7a9nlkktJr07S9LbRhnU0t9iquLJKJRpfT/cC01tC3x4xLFiyjZIyNcWlanILq6ip1XDFiB689/kWpk9JxsPj71m5bApvZYzDNY3J/RlAtnopVboDVOuPYjQ3zjxcZ8pSyLwQwr24zP9tC14LOFKT7rKsSFthPR4S0tOu7LKIQQBsKT3YrnYbDfJqY8tB0431Xx45yCWNyeL6R85ukF7O5vJ3JNr7DP5O3DSsn8O1L7dKcZa3DpeUcNdoaRr/7a6jVr+vxqnkjRf3bXfb774kfWyjIwKZNiWZD169iejIQH5YOJWgAB88VUqeuH/0P0JpAQic++i5g025Q9GYChkY8R5XxG9ndPwfHShZByuuTSddK4OmmPTJMrvz8QuWYrbYO4Luz2lZsw+f656HrSuYnTieNuKVE19aj5u7K9ybKGWu2FVxnI8z1rS53Zd62/Iglbuwfy3N2ciBKimNzW0JY1zWNef0N06vN3XBaC5/RyDWR5r+7qo47j6T0KNXP0dDSU80JZI7gcV4Eospi4aSrmjKJJ8jQ+0bNJR0Q1f1HwA0pbbRlKZEmkaZdBvQVkxCWzGOtuKCyFAGJUrOqeW1DTToDaw9KNmvmmZ1ACmn1ep99sv9t7Qht9a/Hdlq23tqFtLiRJzfZFfkdjBbNPQOfR65zAOA3NpvO1S2DlVcuZXV9J01n5QiybB5qqScnMpq+r0+n8ve/wKAke9+TpHaZl+YvHA5WRVV9Ht9Pr1fmwdAsbqOe79ebVf3u7/tpN/r85n3uy0v0q2LVnDl/MVsSElrl7yTdj7n4Cv1U+Eu62hleJjj11Umk3FxqPTirSnYzlunHLMGqI0NzEn91mmqmN6BidY8WLftfpVibaVd+ZbSg3ydI2WIGBjcrUUb1++lh5zKP+6Pp1zK3xFo6qc1ZtvjTiMItpcfYU7qtxw64/Omq5mOTOaLb9Qp5B62VTlhKcE3Kh2fiN0gjChUQ/GNSsMr5EtM2tUO9QIIUxreYWvxCv0es357m+W/6Yw/16/H0/l+z3Gc7YncKUTyRF+x5xgNesmsMKxbArGhzT3U/3ehNpxgW/5Y/iy6lU05F3JR1CJi/KTpfGH9Ok5WzuZY+QsAHK94mfSaT6jWHwUgzHsYG3L6s6d4Cr/nXY6g7al5WkKH+nF9e+AYWx+/l5u/+I7NM6SRxdubt7PjyamkFEurRdufvJ8hb31s5Vn9wO30eOV9jr04w7paEx3oz/ybJtjVvTEljZ1PPcCJIttL8sClQ8gor+K5Hzcxrne3Nsl6YUh3DladZlbKUibH5hDjHcrawp3kayQ5/ZTePNLV+dfluZ53MGmn9PJuKT1AijqbgcFdkSGjSFfBkeqWR55PdL+F2aeWIYTgnn2zuTXhCoI8/MjXlPFj4Q4r3bM9ndtpGiGXyZmVspR4n42MjxlGlb6Wlfm2lVhX8jfCLCxoTDo7xZPdUEyCTyQBHr4u+WTISPSNtir4e/e9xfCwvmfsf3qOq7Oo0EsJ+kZHSiMmubILFsNewIzcwzZ9lSttxxZzfpMyJRbTaeftKzpL/8v8sJhzaevEqk+cZMPKLqtCrZVsgcG+9rbA/glRFFapySipJKe82o7v/wsGRrzHjsLJ1BpOE+kzmlBvW56snNplqPW2BYv8ulXSgRAEe/ZncOQCdhbeRI3+OEGefekWPJ2MmrObJTVFhyquxy4fTpif1OFXHjzOgLgYZk8aS6C3F5cktT2XT1NcEBHKqz9v4d0bbAbc5G5JJHdLYuGOfW2uL8k3hutjk3n/9ApWF9jPv3sEJPDhoMdc8voovdic/B6/lRzgndRvKNFVsqHYfuTko/BkVMRAp/yXRQzksoiBPH9sIfurUlmWY5+D67aEMdwSPxrvVkJlNo16l9t2v0qeppRPM360K/tsyDN2/mRNMf3QPFJdxEk+cdjeydFDrmT9yDkOdJ8NeQaBpHgLNOVOp40+Ck86+0YDoPSehE67ClCgCnjNRtRkhUmujMes24JCEQuYkCu7IZPbVhOFkEbqFlO69Vx+Rom1BZ3Dpenz3ox8ciokpTRllL2B/85LB7H+8GnMFgvbT0lZQP8/TRNBWhkc2elHp2XDY1a2yFtQM5eRsWut56fL7rXzsnfmcd837DWHa67QoYoru1LqBKV19SSESC+NqpXc040wWwSKFiaun9w6CYABb3zIkRemn52gQJWhjiEhPfhm2Mvt4pchY0zUEMZEDXFJozVXuiwDeLPfAy2Wu4P2yN+SUm4LZMhYPPR5t2h1VXeh8p8JQo+28ga8w5xFMygxG4+iq5mOQjUEr5DlKFTD0ZT0ApkvijNhLDKZF9qKiYAR77AN7ZY/q8wWoH7HpfYfmb5xtlThu9Ml373IwP/9XPmukF7+CCZLNZ1DXiWv+i2U8kC6hL1Hfs0cNIZUukcsIqNiOhaLlm4RX1Ct+Y34YGkamVEuZWfJr5mD3pRHp8DpFNTMQy7zJNzvRkrrvkYu9yHY+wpCfNzbh6FNistoMHHNkFfZeHSW0/KBcdH0nTWflffdSq/oCE6VODo/Dp+zkDqdnkFvLuC9G64muVsir08cw5XzvyTQ24u1D93JGxu28d2BY3go5FaaK+cvplqj5Yf7b2uLyC3A1bKs4I/ilxgQei+Bqs5sKXqSeN9RyOUqcup+Jd53FA2mcroFXsPusnfw84ihwVjC5THvcKjyU6r1mYyOmcMfxTPxVARyccRTLto5dxj72VI2TXUdnD1n606evmyEy/JGbF66DS8/L0Ze3/5cVJlHcugyoDPCUolM5o3AiMV0Ji7Qw9EDXeX/DCr/Z6znMkUUPlH2PlQyZRLeYT+1WyaAQB8v1Bqbs7Sn0vWrcCi7sMW6fk/JpLimjuLqWup1Bopr7MOcHl26jqggf/y9VEQF+RMV5M+I7p3taCxCsC8jX6qnSV1NPfjv/3w10Wf4/TxVRAf7M7JnooPse9LzrHJIddVRr7N5/pep63li2c+SLIH++Ht7EhXox7BuzkPLALw9kogOeIDTZXdjETq6RyyivH4lNdpteHtIjr4WixbFmSwVfl7SR6ai4UcuCF/A6bJ7rbQVDT/i7XEBsUFPcLrsXjoFTsPP0/nsxBXapLg8VEq8nUTdN2JU10SOz7SlYukZ5eh8uetpx1HGDYP6cMMgm+PdC+OSeWFcsh1No83MWs9Ttnr2P/twq7K7DxmjomdxrGoJ3QOv5fKYOciQsz5/KuPiPkWGnCOVi6zUJZqDTEpYTpnuOEaLhiHhMyjTHmNU9CxKtK4Ddc8VSuvqyap0nuqmPdDW6agsqiYkOog/vt9N70uk+My0A5nE94zFy9eTtAOZDL9Wig3csXovl06+iNyTBRRnlRIeGwqAZ9AHGOrmINQleAa5n/v8XKFXpwjrSOpsMWNJy0q0MYC7KZoHYusMJu77bFWL9exOc5zer//v3cSH2ZsEWqtHbzKx+ZijHbapTM2ncjpTLjpTNp7KOLRG6X68PLrgq+pNUqiU6rxbxBeU1tn7THoqbTnhmtIW1MyzXpedWXlsC9q8qrhm98zWif7FyKqT7E1mYbALUJad+QdgtNRTY8gBYFLCck6rpdUvk0VLgEec1R1B1maz8dmjuLbO7jynqobVx1Ko1Gi4brG9+8Sg9z5mQ6q06nfVZ0up0er4dPc+qrU251ilh4KfF/4KAvJTi/jvla9zeMtxhl87lE1LtlmPc1IK+HHBRo5sTeHoHycpSCvi4gk2u5HS62q8wzfhE3kUpVfbt2VrCqXX2edxb7plWHSQ82D3RudTgNF9LnBK8/8FXsokfFV96RL2Hn2iJUXt73mhVRE1ItJfWlDqEjr3DI1kSukesciONjboMet1X1XbowX+0l1+/g1I8h8LwMBQ+zxW4+JsKyJDwiWP7RgfaZTRPVBavYvwktwPIr372/3/d8LfS0VKaTnzduymuLbO6i936YLPOfSENFI1ms1kVlYxZN4nAJjMFqaNkKaH+zYcwWK2cGJnKroGPb5BLjz5hWDcvZfz2TNf0+virrx83VxO7DrNFbdfeu5vEtiSksno3l1aJzyDK/pe0Gr6mff/M6HF8kZ0RBobH08PTsx5nI9PX8aD3X5DLmvfR+9A5TI+eFLP6ChHV5yzQaOi+afALcV1dH82X320BXV1AwU5FS5tXFf1n8kn3z/CQzfaUrNeNLI7r34oaWGd1sC1FzvyNq3v9jFzqCyrJbFbFNlptswPYZEBfL35affu6v8xmgcAD/tgIUtuvZ6ZY5LpOts2Rdsx7X6SP17EmrtvI9jbm6eSR/DAMPuFhivvSubKu5Kt531H2nvh3zfbZm/s3EcKeJ7+4T0AvLneMU9XR0MIePrb9Uy/Usrm8dzKjdyXPISk8FCe+vYXHrliGOsOnyKrvAqVQoFSIae4po6Xrh1tl9Lm78DSzBu5q0vHBaj/f4NbU8X+QxJ5d8l9fLG29dQWL89YzoyZk/hszXTeXXIfYybZjG5e3ioGD+/KonWP8fPBV3j9Y8k7Oi+rzKGegpwKvt78NEs3PMn1/xlORan7eZ3+PyM+KBClXI7GIAWRh/n6sic3n+PFjk6iPSPCeXTNLwB8vvcAap2OvOoatEb3AtD/bvx+MpO5t41nznrJCXX2TVfx2dZ9yGTw7m1X8+uJdMb1747FImjQG5h901XcMXwgv55wL8LjPP656PCp4pOzJtN/iOtc7Y3KCmDw8K4Eh/mxdf0x7pp2hR3duv22Zf77n7yKVV/tQtOgx8f37FoAvWwAACAASURBVNJ93Bh3GTfGXdYmnqMHc+h/YeezaveT01tZlr2bP69yz33AFVqTP9Dbi1P/tX1g/pxhm/KmPydNaRpXFD+5QcrUWpxbwYHHHpL4vaQ8Xt99uJmR1wwkpnO43fE/CQq5Y1SBXCbj58OpTBjYA73JTKC3F55KJRqDgY9/20OInzd6Fxus1hlLWJZ1Kw93/50fch+iSp9DkCqWGzt/hqzJN/5kzc/8Wf4pPsoQEv2GMyzcfsFpWdYt3JTwOfsrl5JS8xMxPv25Jlbyhfut+A0y6rZiEWY+Pm37HR/uvtV6LJPJ+SH3QaoNeQR6xDi03xYYLTo+Tx9HJ5+BTIp7DwCLMLM2/zHKdKfpF3w9g0Juw1Nhs/MtyZzMlC6r2Vm2gJSan1DJfZkY9y6hnrY0QesLnyevYT/eiiAmxL5tV5ZTv5td5R9RbyzDWxnMVTGvEuHVwZuVtLR3mbP91sb2e9HlXmwtlTXi8J5M8cy9i8Q9E94X1178mhjb70WxaN4ma/ltV7zjtJ6x/V4UVeV1LdZ9/HCuePmpFWLG3YuEEEK8+Ng34oflu8Wj90jnT0xdIp6YukQIIcTsF1eJFx/7Rrz42DdCCCGeenCpWPLpViGEEN98uUM8+cASMXfWWpGdUSomjHhDvPjYN8JitohfVh+01iGEsKv/34jMlAJx/6jXxc71R8Ti2T+JNx9aLLJTi4QQQhRml1npmh43xfGia0RmxVMdIsuenM7ntP7WUGsoFh+lJouPUy8XQliEEBZxpGql+Cg12Uqzpfgt8V32PUIIIYwWndhROl8sy7zVrp6PUpPFxsKXRYOxSgghRHbdLrvyIs0xsSTjBqcy2LcvrO1X6DLduof9FV+J34pnS/KZdeKj1GRhshjs5P8oNVnU6POFEELsKJ0vPkpNFgZzg5VmccZ1YkX2/Vb5TRa9g4yl2lNCCCEswiw+Sk0WtYYSa/mO0vnCIsxCCCF0plq759dG/DP2VaworeXZqYs5eTQfhVJOv8GJZz2Cao6igirmfXE3+TlShgeVSsm8RfeQcjSfuZ/exdxP7yL1RCFPv3Its96/lVnv30pRQTXvfPwfTh7L5/TJIn5df5S5n97FE89fQ+cuEQSF+DLr/VuRyWX8vuk47y68i9Mni+zq/7ciqVcnBozoxvBx/dE26Hnu4yl89c7PbvMHeV9GsLfrQPCzxbmqv6HWdVqh3kHXIO2MI6N/8I3W62pjEafVmxgbI20UopR5MiJiOrXGYoc6xkTPxEcpeeh39nPMld8SbO1jbb9I4/7+gwok94JfCp8j0W8EiibuBqfVm5AhI1AlZc8dETGdKO/enKhp7tJhscqvaBLd0Lhi3jiCkiEn2rsfKU34R0RMt44Qm47kOhJ/6ariHVfOYcbMiYy/wWYEvn64Y77ws0HjNt+yM5se9B0ohRrJFbZphUUI5DIZwiKQnZluCCF444PbUchlfPbNg9TVarnvpo9ZsfFJ9Dpbeg+TUZpmdOsRbVe/M5gsZj5P306ZrpZKQwPbSlI5do0trGFbSSoz9n9DZ78wVHIFabWlfD5sChedydzZb91LTIwbwM6ydKK8AjmpLuKLYXczNCzRjl8lV9LZL9Qp/00JQ1iZu5/eQZ1IqZEcKZvKAKDTGOz+f2nR/W4+bYgNOocbQ5xl/Sf2ZqKuqufwjtNUlap5adH9LH9vA8W5FTw0S0ox8+0Hm7j10bF2fBeF3eu0vqNVKxEIglSuU2Y3or2rgq7arzdVOKF0Dl+PMDYVvYJFGBnXyX4xTCDoFWi/Wjos/EF+LniagSG3WK9dEvGQ07rTa38DsJvmAujMai4Ol/qN1lzD1pI5lGpPYjqTVcIsDHYK8GzxlyouL28VG1cftCquLz/YjMVZaP5ZILFrJDK5jNiEUGa9f6v1es8+ts7Wq699x4uJlb4sjVteKeUK/D28WbFR2phh5aYnrbSNo6tGhde5i+vc6kq5goe6Sz9wkaaGbSWpduXJUT3slMgpdTF37vycA1fbtjTrHdiJ1wdI7hZ6i4khv7zGW4NuYHynfm7xy2QyO5rJ2xbwTfYebku0ecM/8d7tADz+rn1UQlObVnP7VkXDarTGDCoafiTS705iAm0dXW8qILXsPwR4XUK1ZgMgx2iuIMx3Ml3CpH0zU0omU68/jLdHN3SmbBQyx3Ca/Jp3nNYPUK39jbSy+/HySMJgKsIidPSM/JoALykd86Zvd3PyYDaxSRH0HprEZddKG4vc/oSUCqehVsu9I2axaKejX6KHvH3JGzsKZ9v+karvGBp2D7vKPqbWWEyAR3QziubvnHDYjcqVkhHCQrAqgVsTlzgt15prWJxxHQ92+xW5TFIvzZVcR8AtxXVV/5kuz125RjjDj3tm8uLDXzHhwlfwC/DimTdvpEffOFKP57tdR0voMyCePgPOLpjbXdyzYTVfjnMvN1FL+CrrT1blHkBt1FJj0DpsUHtTZ9vo1PPMztZr8g4xvlM/K/+ByhyOVedb+fUWk5V2eo/RdvX1C46lTGfvpNoehPmeUaYm57+dzphNoNcIBsVKyQaPFY2lomE1XcLeRQgT9frDdAl7nzBfKbup0VzBoQJ7d4y4oGdc1h/sfQUXJWRbzxsMJzhZcj1D4qWMEsvf38joG4Zww0Oj+WTmD2z/6TAvf2k/kly0cyZvTP2S5xfebR2ht4RBobdzUv0zNYZ8glRxrdK7glLmicFSz7narDXJfxT9g2+kb9B1fJo2hoe6/251npbLFJxSryc5yhaKtrt8IReGtJyJpBHdAq9kS4nrjYaz63cSpIq1Kq1zBbdqd1c5uUPXdFWxEZdcbvMPWv6rc1+ttijIc41pv9kChC/7bhFbb7mXd/btIK9WzfRBF9M9xL2NOP4oPc3clI2MjOzGEK9A/D28WJSxw45GIXM0Q2rOpJ1u5A/08GZsTB+n/L7Kv2/ThUalBOCj6oHWKHnpa4ynADkhPldayz0U7j0zV/BUxmERtnTcX+171Xr88Os3OtD7BkhpbF74zH37pJ8ynD5B17Kp6BVu7rwIszCwu/wzfJWhbZI1SBWL0aLjZM0v9Apyz8m1PZDLlAR4RLO7/FMuCZdGrH2CruVY9SrUhgICVbHsLFtAiTaFqzvNdqvORgV4unYz3QOk369Kn42nIgBfZSghqkTUBsn+KxCcrHHfXtoWdLhx/mSh62wJrpBafJlDmth6/Z5W+dyhaQ+2r5bS5Cx59Qd2rT1gV7Ym/SQLrrjGej4oUsrLvS1P+vr/mO7+JqzT9y3nyIRXWTD0Dl7sdw1Xxzp62mfWOQaqd/OPtOPfcdVzLvn/Tvh62uSRy2z5rjSG03h7JCGXtX9KVKP9nb25iZwuu5f8mncoru24XE8tYUTENAYE38QX6VezIude5DIFd3X5oU11eMh9uCT8QY7VrGJh2pVsLHTc7byjcEfSNxyt+p5P06QFjhER03io++/8XvIOC9OuRC5TMKXL6jYZ0R/uvpVCzREWpl3JF+kTOFj5Nd4KKbg6yrs3Q8KmsDBtLGvzHsNLEUjPwLMP0WoOt0ZcKQX9UCkT0BpP0jXyR7xVfckqux2N4RheHl25INJ5pkqAk4UXoVLG0in4FbxVfSmumU153Rd4KMLpGbOHtJLx6I0ZHM+TYsH6xedgMBWSVXY7/eIyrfXUaH4mr/JR4kPnEeRzjVOa5jKlFA6kU/AsOz53MHLyUPRaA0VZpVQWVTN8km3j1eu69mLab+tQyGVU67QcKi3i21PHuLLzBaRVV5AU1LZUySdqCugXHIdFCG7a/olD+Z07P+PPcVJ6kOcPryLSK8BuU4nW+P+J8FF1R2fMxiJ0yGWud0V3hcqGn8ioeJSLEjJp/PZqjWkUqc/u/v09ouz8qRpxW+ISvky/nHu6SkkauweOpXvgWAe6RjirI7tuG4n+ydbzASE3MyDEcd9RZ7zOrjnD3pJ76R/2Jl5K+4SHD3W33+ZPhozr4ue7rGdKF9fvcyMuj3qGy6OecVo2OPROBofeaT3v4j+y1fraCrcnol2jpOnRsfwk+sVlkRQhpSxu0B/A1Vw9tWgUvTrtBeBEQV/6xB6nRvOznbLpFrWeo3lx9I3PQHZGHJWyE53D7L+gGv0h+sVlciw/EaU8BD+v4Q40jjLZ8zUqrnLtXvaVPk6s33h6hTyGh9zeMFyWX0lEXCgPvn071WWOHvtNR1xbb3G+AuUO9l/9Erds/4RSXR3dA6I4dPXL9Ftn//XdedVzXLdtAfkNVYyI6MqvY55y4C9oqKZPcKxT/vZgbdYA63GvkBl0DepYdw9fVV8EZo4WJjMwdg8mSzWZFe6vHnoqpcWVev1R/DwHUlb3DTnV7cur5g6CVAmMjOzY2L+OxM7CG2kw5mARerbmj2Fc4jFqDakoZF7sKJzMZXGb8FSEs69kKjX6o/irujMs+iu25I3CxyMOtf4k/cNnE+07lkrdftKqP6TWkMplsRtRKULIUi8mvfpjLo5eSqDn2W+G+0fZakZFnJ19uM0WNA+FpM0Lq1+mXrcTs6WWnp12W5VOU+hNORzNszdienl0J7fiEcIDpuKjcn9q4+UhpVORy7wxi3qnNM1las7XiD0lM7AIPTm1P2ARBgaG27sHfPHid2jrpWXcWauecFvGtsJTrmRNsn1SxOauCnKZnDXJ09rF37wugFf6O99Wrq0oqHkfs6WOOv1BtMYMjJZKlHJ/OgW6t+Oxr6ofDYZjHC+6Cq0xA6XCPnawWrOZWt0ea/06Uy6eymg6BT6Kn+cgAr2Gc7LkRgK8hqHW7aRT4DQK1Qs65N7cwbHqbzlU+SVhnt2ZELeAMt1JNhU+jUWYmBC3gFDPrliEkWWZVzMo9F78zoyCGvkmxC4gzKs7lfp0lDIvVufehbcihFuS2jbtBBjRSYp5zKhZyAVBNi/+U1VzGR2/FY8zObJi/MYzIPwtUqvetdJ0CbyfIK/+bM0bTbTvWPaXTKVL4H0MingXlSKE/LrVFNSt4bL4X9meP4GRsetQKc5uA5azVVqAe57zJ/L7Wl1Zj+Z1FhaLTtRqtwshhKisXykswmgtTykYbD0+VXipS5fY6oa11uMjubHC0sw7V6351Sn98fyeokaz0YHGmUwnCgbY8TXix8z+dn9/Bf4oOS1GbXqrTTx9f5rp9HpObbXDtQ+P7BbZ6irreZmmvm0CNkHTZ5NW/fdGBfxStFgIIYTWVO/0+tbSH0SFvsglv9ZULxZlvnzWcqSrN9mdZ9Ta+l6aer1d2aI0yVP8u6wbhRBC1BlLRFbtVju+rzLGizT1elGhSxOFDQfPWj4hhEiv/tR6rNafEnqzfT9JqXhTbMkbLbbkXiYsFpP4LXektWxTzkVCCCFSq96341mf1Vf8ktXb+pdW/bFDu+uLFotd5etERt1RsbHoK/F5hhT5kt+QLt1r9hsis+6YlX5j0VdCCCHMFrNQGyqFEELk1J8SS7JeExZhEXkNpxtJXeomt0dc6SUTzti4fkIm86Sw6gUM5gK6RKyw0qQUDMBkqeRk4VDiQz+gR8x2UotGYRa1+HoOpXPYQlKLLsVkqcRHNYAgHylWLi5kDqeKRqCQB9E9ejOF1S9TWb8MGSoSwj4iwHu0gzxNaRRyf3p12u9UJmdQyDyt2y05mwbt3WDzUr5o3ACHcmeoN0rGeT8PyTn02+y9vJ2ygZ6B0aSqizELC1vGnH12i4d+X8vp6gqeufBSdhblUqqp5/mhyUzrfzE5tVLq7Gd2bkQlV/D6JefOo/1c4euct6gxlDGh0300mGpJrd3P+Ogp1vKtZd/jIfO0Xk+OuJ5Kg+S5vrlkOaW6XK6MuoMd5WuoMVZyR8J/AdhevoaR4dfZtdVgzENgxlMR7mAuaAlmYUAl98N8ZhWzi/+VrMt/mMujX8VXGY5FmLAIM/VGKbDdTxlJOafs+G5LWoMMBdWGLMK93Nv7slHexj7WGhTYfLEsQk+ETzK9Qp+joN55HnkAtT7F7tzHI45Yv+voEnSfCw4JKrkXSpkHJmHELKSFtk4+Upohb4UfDSZHk4tAIDuzai6Xya2+ZM19ypyiJa3WqPaajrj+l1GQXiyEECI7JV9kp+SLWbfPd4svv279XzZ6O1RaKF78U/pq/5iRIoQQYuyaL4UQQmSrq8TqjBPi02N7RVF9bbvb+DtHXJuKvxZHqreLVfkLhBBC/JAn/QZaU71499TDVrrG60II64jrw7QnxLe5c8Wm4mViZd48sTznHaE11Yu3Tt4rKvXFDm013mNu7VqHsuZoPuL6KmO80JlqhdpQIIxmrfg6c6IwWwyiXHtKfH56hBBCiEMVi0W57rTYVvy6dcTVyHeq5kdhNGtFhS5NGMwat55Na32s+YjL1CT+UAghtuWPFzsLbhRV2oMuR1xlmp1iV+EtYmPOEOuILbd2hVif3V8cLH1MmCw6t2RtK2q1OrE3K1/ojaaml89+xPX/Ab8s+p2ps2/jh3nrAchy0zG2XLv7XIplBw+FAq1J+tKn1VSQX6cm1s+2118nv0D2lhSQX68m2vfcxImdS8R4J9HJuws5DScdyu5Oegm9RYun3NsJJ8R4JTI5TrIH/l66Al+l9FzCPDuxOv8j7uvSPl/A7SWzyajbzK6yd1HJfbk1aTVDwqayPGsinvIAbk5ayajIF1iSMZYQVaI1NrBfyO0syxzPkLAHrXU18iX4DueCgLPLBNscTe1bASrHbAyjYn+xO2+6u/SVCZJrUbj3cMK9h9vRxfvfRLz/TR0pqgOeXrmB6gYtF0SG8sbkK1ull4mWQ246Nh7nX4baqnoCQlqfQjRdhZuU5H4w7D8V53pV8Z+AemM2W/KlqePA8NeI95/4N0vUMprK+7/Qx5rj6RXrqdXp8fVU8d4tVzdedhlWcH7E1QTVpdImpnmni1Ao5OzdeJR7Z53bL83/JiycA9/mDkVK5Qd/twhtwr9N3rbi7ZvGIZfJrAkwW8M/u3f9xQiODCQ4MpD+I3vSZ3h3SnIdvdabQ4iO3Vr8fwEHC8f93SK0igrd/r9bBLchhPlfJW97sPaQZBp482f3nG3dHnE1nT5E+SZzUeS8FqgllGl2sbvkEeu5syGus2mWwMKveePQmhzTDQOEePXj0piv3JI7tfpTTld/6rK8c8AN9A970e5ayu50hMXCC1894pSnSneE/Pp1qPVpVOvtd3Buej/O4N4wX1BYv4kDZa6dHhMDbqZfWNvyumeql5FW8wUGs9qhLNLnUi6O+tAJV8vIrp5DUe1iOgXcR+fgJzhcNAmNMZOdOZL/3IjOp8mufoui2mUEeg2lT+Ri9uQNxssjgQbDKfpHr8TPxS4vNfoUdhTdhUWYnJaDFI/XO+RJYv3GoVI437kbwGRpIL/+F/Lr1lFrSMcsbHsqHi5/icPlrh13x3fegYe8ZXvhico5ZKqXt0gjl6kY2WkZgaruLdKB1MfUhjTy69adoz4GhfUbO7yPAewtmUGJZnuLNKFeA4nxvZKkQCmDy09HTlGt0bqdLeYfNVXUm6v4s3gqtQbHfeiaokp3jLVZA87ZXD8yPpS800V8/vx33P/mLXZlrXWas0WF9gC7ilteegbIrl1Bdu0KJiUdxp0MA5vzrkJrKnFZXqrZwdqsAfQIfhi5zAOLcG/IXtGwnuEJNkP6wJi17Mi5gBGdpSwNQhgJ8BxCYsKzCGGm7MxS/IBoae+/nbk9GZFgH99psKjZUzydav2xVtu3CBPHK9/mZNUHTEh0Hrt6oOy/FNZvcut+2gqNqZBf865unRCwCAPbCm4mKfA2+oY6D5eBc9/HANbnjMRoaXkfh8Y+lhhwE/3CWk85vr3wP279ZgCVusNU6g4T538NHnI/PrxjIiXqOi7t5p6rxz9KcW0rvAWdSdo4I0B1AZdEf47nGS9dIczsKZ1BmWaXlX5DbjLjEra1WGeP4AfpEfwgGlMR9YZs9JYaDpW90CLPhiV/0FCroSDNMbNlr5AZdud1hizy6392Wd4WaExFdkrLWxnFiJhF+DTZVDOn9nvSaxajMUkR+GuzBjIkcg4xvq59to5Xvm2ntPw8EkiO/Q7FmWgCnbmCHYV3ojEVk1r9cZtkHhK7lbSKZ/H26Exc4IMO5TpTIb5nRhgymYKGMxkiGqFSOOYz25AzynosQ87wmEWEePZDdiY5n8CCxlhAWs2X5NVJinB4zBcuZYz1G+cwyjlZZYvVi/EdQ5Cna18qhcx1ho2mv02A6gKifJLpEngnKoVtpTe//he7Ppel/oY+IU9a76c5znUf+6PgVqvS8lZG0SXwTroE3m6lkfrDf6x9LLt2JWHeQ1rsYyUN2+yUVrz/JAaEvWR3jw3GPGr0J0mpmmftj43+cycKSri4i/spqf5RiqtRaQEkd1phd9MymYJhUR/ZfY0M5hq36/ZRxuCjlDI5tKa4ug1KxMvXk16vdXUoa77CVtyw1a5Tnc0K3MFmw/Yr4n5C3iyhW+eAG4n3n8S67KHWa4fLX3HZqdSGNLLV9g65TZUWgJcijMvj1vBz9sXN2d1Ct7C32JXb16ni8lLGUaX9HS9lLEKY8fWwf6YGs3NzQCMuippPqJf99uwy5Ph6xDMw/BU6B9xAatVHBHvappvptWWsyz9OZ79QJicMIMonmSifZLs6miquSJ9Lz2pVMdz7IoI8+9ArZLrT8ji/qynV7KCwfqP1WolmO9G+zhPsnes+ZrDYTAXO+piXIozRcT+63ccAcutsgdkymYKB4a860Ph6xOPrEU8nv6s4XvkO9QZbPrUvdx6kWF2Hp1LJ+H6tT6X/ccb5aN/LmJR0xOXXaGzCb3ZlAotTuvagKLOUosxS4rpFE94phLkPfNZhdbcGizBRpZO+WIGq7kxMPOjQoRohl6m4KmGL9dxkabDrjE2xreBm6zOSy5SMid9gp7QaoZB5cXXnXXgq2pZb6kDhaHbnDWRgjK3jdg2bza7cvhwqmoBMpqBOf5Rdub05UXYPEX7Skv6R4snszO1pnTI2Qm+utjuP9BnRYvvBnn0YFm2fFeKT1B0UNNTwR0nLJoeOwiXRC10qrUYMjniLYVG2/UZbsrueKzTtY0CH9THAzqY1OMJ1osFG9A19xu53e/fm8XQKDuSKXu7tGP6PU1xDI99vsdxLEUb3INuWWxXafR3W9h+r9xLTJdL6Fxj21zlw7i+1BXMnx37nUnE3ormCOVHxjgtKm7FzePSX+Cibp/G1QSn3ZWQn9xY9GjG40xaGxR/Gp8lIKsrvRoYnHGdQjDRK6Bz8FMMTUugbudRKMyB6NSMSTuGn6m1XX0fkJX9v6PUMj+jCBxfdcNZ1dSQifGyOnbWGdP5qN8mmfcxTEdaBfcweZZo/2yzbyaIyNp9I450Nf7ROzD9QcbmDQE/bULJxHt4RuPVp++lCQo9OLig7FhXa/c1WYdxL59t0r738+l8cymuaxZ2FePVrtc6mNptzhYvjD7gsU8p97c5/yr4Qo6VtqaafPbiW6zsP4NG9bc+08FdBYMFocZ7l5FyhaR/rHjy1BUobmvexpquxTdEt2JYWO7duDSer2uZ3FhscSGJYCE9d5V7urn+U4mrJCNoUcmzbLZ1LP6ojfziGnZwLqA2prRM5gbKVTRVq9O2r9+9GU9cDIcz8mjeOlKqWR+KNeP3oRo5VFTLryAbqjM5fsvOQFmjcQfM+5squnBRwq915es1iUqreR2NyXOBqjtTicup0ei7s3ImciupW6eEfZpwP9Ozg3W7biccufw2ZTMbY/3R85kZnKNfutTvvqOXwWkNa60QdBEPNDFRBNoO3SbMcLNUo/ZznEmsJ4zvvIK/uJ6tvldFST0bNUjJqlqJSBHJJ9OcEqro55X2x/1WkqkvpERjptPxcQwgzRQ2/Uak7iMGipsFYgNFSi9Fc63K08nfgz+IHWidyggZTId7KKIfrnooQBoa/xtGK1625/xt/M4CkwFvpG/pfp3X2iA5nZ3ouI7omMGfDdnpEt75j+j9qxHW2Cco6ChFxofgF+bLrp4N/SXst+VedVb2trNi1FfrysYAFfcVELMbDGKofBsBiPIzFmAqY0Vc4X50z1r195siMMLd+v/H+E5mUdMRBQRnMarYV3MTarAH8lj8RZ3aiD09uA+Dh3S2nN+ooGCxq1mVfxNqsAfyUfSEHyv5Ldu1KCus3UaNPocGYj8GitqZS+lejBQfReP+JXJO4z6mdOkv9LWuzBrA2awAF9RscymOC/Fm+5wgPJA91KHOGczriMjfZdeXfhOeXOveYP1eQNdlpGDouiFZ5FptROIO0Onmm48p8EZYKsG5y4q6hWYDVKNz69lzJsSsBydFzR9Hddi4zDcY81mYN5KKoeXbuDhHe/vycf4Jo7wA3ZWo/8uvWcajcfvs+T0UYnQOux8+jM/4eiXgro6xe/X+Fc6k7GBO/ocWFmrNBo2eAxlRIbt2PpFV/bld+sOw5jpS/xuDI2dbfLSk8hKTwEOb9uovHxgx3Uqs9zumIyyQ057L6c4bXbpvPsjfWsOyNNX9Je21JYvd31iuTB2GonoHcMxm5sisyRTSGaskZUq7sai1DaDBrlmPSrkWYCzHUPI5ZtxFDzaOAEkP1w+grb0K04rndFD7KTlwZv9Gp79P+0qeo0tmU/UsDxlOireXFAec2ZrLOkMmRCluqHJlMQbz/RK5K+JUewQ9Jjq+ePVoMRfq7YDC7Z0s6G/goO9Ez+BEujlpgZ+QHMAst+0ul/RPmbNjOlC++Z+qS1fx8xD277DkdcTV1MPs34aVvpJdxw+Jtf0l7YV6DqdB2fBCtv8o9nxh3IVNEoQqyxTOqgmwrR6rgj3ljxnJemC95YHuGrW9CZz918Az9vn3tI7dOQ7SmEjbnSfmsLMLEjqIp1pGqwWziWHUhq3OOcH3nczfC+b3geuuxXKbkmkTXq6X/NJRp/ySoAza+cAeRPiOYmHQIramEoxVvUKqR7Nwl+wAAIABJREFU9v60CBPZtSt5epwtA0uJ2r0VZLdHXE1Xetz1WHc2l/0n47PnvgFg7tTPmDv1M76ft74Vjo5BUuDtdj41ZqHtkHrj/Ztvx3Z2fkNNlZYzmE3SCu/JQ7nWTJWnj+bz8gNLrDQWs4XKUttI65k7JSff56a4DtlxBm9lFNckOvfh21h4Eq3JyPjY3k7LzwWGRM79y9pqL5r2sfSaxX95+97KKC6O+tDOuN/oNvHWL3/wyLK1+Hq658fntuJqmue66bC8JWhMhe5W/4/A1Nm3AfDUZ1N56rOpzNva+lZfnh2woOAh92NQ+OvW820Ft3SIIbe5h/zxytYdCJuGbrQXcrnNbmWx2CtLixDIFVK5EAKTUbKRzfri7ra308xZtTFCYFJ8Pz4ffhveSg9nbA7Qmyvb3HZzuONekFrdvn0fO6KPAXZ9zGRp+NsWCzr52fakbFxp7RMbiYdCQXpphVt1uK24gr2cpx5xhaZG1H8r3Ml+2jSY9mwQ43uF9bjemGsXS9dRyKld1eLvYhEm0muWnHU7PQbE88ydn/HMHZ/Rc6B94KxSqeD16V/z9O0LaajTMf7mi3huyhe8eM+XZ91uczuKu1Dr3d993BU0rawM68wVZKq/blfd56KPAeekj7mDOoNtX9VG73yT2cLsG8YyKME9B2i3f+mewY/YeTXvKJriMi3G7uKH2ZTXet7o/wU033Flf2n7dvKRyzyI8rH5jWWpl3Og1HXqE5C+VgfLnm8xOFoK4ZFGOBZhYFPelS78iQTrsgfTYMxrj/gAvPTxf6zHc75+gDnLJV+hVxdOsaN799uHmLP8AfwCvLniuguZveQ+3vpK8rw+UPZfTlV/RL0xt9X2fst3b2dyZ4jwHmY9LmzYfNYxr/tKXG9o22DMZ1PuFZgsDe2q288j0U7e/aVPt0teV32spZmRWego1exsNQB/c95Vbv1mdcZsSjU7ree9Q6TntvFEGlMW/cALqze3Wge0Mee83lzNxlz7VR0ZckK8BiBDhtqQbqfMLov9ga0Ftnix1hIJtidBYf+wF+gccKNTug25yZgs9S0monMGhcyTC4Luokfww27R/5Z/DQ1G+401Qrz6oZD5YLTU0WDMxWipx0cZzZj4lu1+v+aNbyGMSYYrO1VLLhQGs5oNuaPsrsllnoR49cVsMVCjP2F9EWTI8VclWXOi/dU5553lzvL1iMND7o9S7ofGmO/gjS2TKRgRvditkKZGCCz8lDXI7pqnIhhfjzjkMk+0plKrEnf1bPPrf+ZQmX0SSh9lDLF+47EIA3pzlV1WB39VEhpjkfXD4U6CwtbkDVB1x2ipO9PP8tzqYw3GAn7Ln+CitH19rLmbh1ymIkB1AUq5H2aLzq6PWVuSKZiYKPlKntOc856KYOQypZ0iEFio1B1yoJUhJ6CDV7XairakvWkKs9CjN1e5TT844m3+KLzN7lrTKPy24NJOS9mU6yp9SPuM6ypFIJ6KUDtbjkXoqdA2XwWTMSD8ZSp0B1pN5vhXovlHoTmGRr7XJqUFUv9sur8mSB/m5tkpWkKc3wTKNXvslJPGVERajeNCg78qiUuiF3Kk/FW7EcfZyluudZ48sSX4esQS7NnXIbOqhI4J/LYIAzV61yFzcpknQyJtNtfHrhzBttQsrh/snkmqzUaBaxIPkBhwcwsCKRmb8CsTkxyV2f8qgjx7MSZ+Q4v5ityFlyKcSUlHuDJ+Iyp5y7YNuUzFwPBXmJDY+vZoVyVsoWfINJdf+Gjf0UxKOky8/yQ6+7c/q0JueTUp+aXUNOj4ZNMe/kjJAuBgpm068uDC1U6PAS4Mf5Mw7yHIZa1/U4M8ezEx6RBRPqNapXWGCYl7ifEd02qWhJYwKOJ1BkW80SLNwPBXuTx2NV6KcOvUqD1olLcjMLLTMrf7WLj3Ra32scGR77j1mwEMCH+JaxL32v1unYIDuH3YALw83BxLtbTpYls2dPy9ONUtun3l2XbnX6Rtb0szbmFN9nEx71jr9fb47m2xIuOIw/XE5W9Y/1rDsDXubRr7/wXPf71BlNbUCSGEWLHrqPX6A5+uavX4PP438dWHv4rf1zm+Z27ApW5ye8T1efp27v1zCS8dWQvAlF1fct+fS9CYDHybvY+FadustPf+uYQpu6RVohn7vuE/Oxfx30OryKgr46G9X/PI3uVYhODb7H3UNongb1r/fw+tstKdK5y6+Rlu6tLf4XrWbf/H3lmHR3W10f43kokbhISQACEESXB3d/dCgeLSosVKgbZAaaFAkVKsxb1AcXd3KxAIEiBEIO6emTn3j0MyGWYmMzHa7967nicPk3P2PmcPmXnP3u9e71ozGeFdr9Du+1/Fud03WDR6PaPqfU97x5x172+dekR7xxFcPqBNnDU3k7PyuKjHVLV0cX47epXQ2AQCwmJYcewaIVFxBITFEJOYovX6/zYEJYdyLuyW8Yb5wI4HD5lx4jReC5ex7/GTXJ//lLCwNI2aYjJyimrZQ1/ncyuEp7HvBJVaLajUKiEsJU4rNB4JEiNqYGKUoBbUgiAIwuOYYKHt6aWCIAjCoKuilXvm75lY+uR01uvM6wuCICjVqrxEaEEQTJ9x5YSf75/9f3bG9fDKM6Gdw/Ac20SHxQqDq00XIt/HaB3PUGr/3dKVWpbq/89gjf8eYfDN7z7Jvcr+slT4+5Fvns//h2EwNpmcnN/ffAxmUhnNTy3mbJvJSCXiZE1AQPJR8l8QBCQSCT72JajkIOq8F1WIVIpUtWH3GG97V5qfWszFdtOQIBHJihL9GwsCUHbnfDqX9qGIuRX73zzmUZ8pWefvRgTT9+w2vB1c2PbiLtta9qdhcQ8AkjLSORbox7e3jjGvTnsGlKup9x76cDr4BV9fO0hvz2pcDwtAJtGetHrunE/1oiWo6OiMWhCwMTPnu5oif8Y/PpL2x9bxuVcN/GLCiU5L5nwXUaf9YIAvZ4JfEJmahLVcwaV3r7TG/F+Do7M9m//RleiVy7T/P8xkec8f/S/j2LvLFFX892oUs0OZoWLG8I28D4pCUAu06lqDYVPEMqqvuv1G72FNadVNo/efnprB503nM2/tEHxqlqZ/k/mYmctZtX8843qtJC0lA09vV35eJ5KJx/b4ndfPxR3goZPa8dlI7VykoBZYMutvrpx8jEMRGypWL8WMJdquWoZgcuAyk4ofwIvtRJ6Sk7lIzty8RjRwHPpVS/5YfprRX2v4W1KJhKV1+hIdlYj1TjXUgUvttLlJk3y0k42Z1zcUsDLR6shaznQeTVk7kcA2p7Y2bywkKS4rKMyq2YqGB1dyp+dEAKzNFHxWthrf3tJVDTWGLy//zev+Gqsmz53zddpsa9kfazPd0oW2R//U6uuzexEZalXW/61fTHjWmDPUKq0xG0J7xxHY2Fvx+4XvmdLhF+QKOfXaVWXs4gE6bZdN2MLDy34kxiYz+LsedBmh36zBGLIvI9den4uHt37SoP/DtywcuY7QwEjKVStNtabeDJ7VXavNlp8OcGDNWQD6TGzPgG+Mc7N6XP2ajXV/ZMjt7ylt5cqbpBA21v2RYuYiw3zzm0PsDz5HGRs3XicGI5fIONBYpNl0uTIeD+sSBCS9w8umJP6JQSikZuxrtDTr+jMfrcA3zp+yNu4Ep4RjJbNgSz0N6/yLWzNZUeNbhtz+HndLF8LTolhd6zuKmTvyOO4lR9+JSqMJyiQW+G0AYFrFIcg/2gR4FRVNu/VbcLe3I0OtJiwhkUtfDcfNzo5z/q8Yve8wCpkMzyKOBMTEkqFW83xazp+H3KBLte/ZdmE6Ti5igv7Qdo3k8tKdX9KzzlytwDVv4g6SE9PwqampEgh/F8tvPxxg85lppKcpeXBdsxu96oCow79gyl8Gx9C8UzWmLuhDQlwKv0z9i6kD/+TX7cbVWfNVZB0YEMmx/feygtXNKy8Y/XVb5s34GzMzGe27Vuf8SV/MzAr+qRuQEJ0VtPShUymN3ZSZVEZCeuGIuBUx15WO0Re0MvFxoHsc/Z6aTu5A3secGJfMqmk72PlsCffOPWHpuE343XnNyosauZUORUbSaWgzlpyYjqOzPSPqfse53Tf49fh05Ln8+5yMWU9YYCSDqxk2E80MbvP3T8a7blku7btNYDa7t5jwOL5sNAfPyiU5GLIKQRAY3WA2Vw7dY+21OTneXymomO27mkONdeWBR9yZQ1hqFEeaaOoqv320nC0BhxnsIWqFBSS9yzqfrs5g2O3ZXAq/SzPn2rxPjcQ3zp/DTTSs8m8eLmV/8Dl6urfKOmbo/lXsy1HFvhxdrozHVm7NDO/het/D5rsP+OncRR5OGou1Qvfz0sqrLP7TtXcgvRaapgJrKiRSCecOPaBL/wZY2ZjTbWDDrHOW1qIacXqaEoW5GCbuXnlBjQa6FKdZy0UqkMJcTr0WpouBSqQSajcW9dZs7S2ZsaQfferPM9JLRL5kbUp5OOHi6kCbTmKC26dqSUCcAn77Yw+OHbiPRAJNW3+aKvTskEs/jUZibu8zwrue1o+zpYaekJ8x/7BDJOTWalWJGRtH4/9Qw2LOzAuMWzKQoq6OSGVSfjk0lWd3X3N2V+6NDYwhPFjkwHUY3JSaLXywtDan/aAmjPpJowKwY+ER4iIT+PEvUYlDIpEwd9d4Ap4Gm3SPtsUb6j0elhqFtVy7RrOCrQfP4vUrlSikZtQu4sPjuJcA3I1+QgU7D602LZ3rcT1Sm3xp6P6m4sxLcWaiL2jlhHRVwUmVD5vcns3LTzOg2QIe3nqtc96nRimunNLmerXpYXpaxRTs33yVUZ2X0bP2HPo2yplWkh2FImtTxks0+UxNTsfa2hyZrOCDiJu1PYGJsZSy+XfzCOEpuTM8mFmjlfFGeYDCXLNrU7mBtnfh4T/PZz1BM+HsXgSAlVO3035QkwIdy9pvd1GzhQ8Tlw8y2OboxosAmJlrPoKuZYxL9mbC08ZwTZtKUPPNQ+3ZibNFkazXH+dkPa3duRwhMrhfJrylgq2H1vkKdh6s8tde7uR0f1Pwz7ucaxvPv3rNpMMnMJNK6ehdHjtz8e8nFOAue+9hTeg9rAlJCalMGfAHga/COf5EEzx+2TSCrtV/oFwlN84evE/73nVo0blgZILiopMY2nYxbXrU4s+jk7KO9WtsWvDKd+BatVXj7jFtdjcAvviQhJu3TCOgX7m66S61puBi1zGU27WA7h6VsVdYcCbkBVe7maZvfvHdK0KSRI+4a6EB2CnM6Vy6EhJAqVZzPNCPx1HismaX/wNK2jjQuLhYk7i6SU98di+iq0cl7kUEU97B9C/bxa5j8Nw5n35e1VGq1Rx9+5SnfXOuRywIxEYmGLRaU2YUvNlIdFgcZSq5m9T2s7Jfa/1uSmG7MSjVShZVM0z0FD5ih79KDMLDWtxEqmhXhvNh2nI5z+LfUM7WNHMJU1G5uDP3gg07VI36+xC25ubcnfhV1rG1Nwtesw3A2taCtYcn0sFnZtbGGoCZQo5EImHmiI1EhcVz4qluPjevuHHuKSnJ6Xw1S5PTPLLL9CqAf80s423cJl5EL6JNmbxV5sskEq1E9+xsyfnuHrplA8/6aYT6m5coC6B3N1EuldLVoxJdPfRrObUvWZH2fQ2v47OP6WOUsnHQOr+ovqZezNiY84PGXWux69ejes9VrO1ZIPfIjtqtK7N/1RlGz++LhZV+5yZLa3NSktLY88p4bWpu8E3FoSx6tokL4bdp4Szql79Neo+tmRVFFBqW+KPYF1R1KM/S51u5EH4nKznf0bUJa/z38C4lghKWxUhXZ7Dafze7GizUez9DkEtkRKUbLjlb17s77ddvZcju/Wzu2xOAhLQ04tPScLMTJaeT00Xpc7UgsPuhvvKc/KGDz0wcnWxxcrEj8FU45hZmWUErEz+sHMjcsduQSE2zzMuObSvPkpyQit+DtwS9Dic2OhFrGwsGjG1F+z51uHzyMZ2rfEe1ep7cv+7P51+avln0rwWuqBTjZSr/H6YjJTEVSxsLAB5fe651rmyVkjrtw4PEusU2/fOXq9GH5j3rsv2Xw2ydf0grr5UdLT6rz/FNl0hPTUdhkX8T2Ew0KVaTiLQYlj7fxpF3lwlKDiVVlcaftTXaakUU9sx6/DvlbUvzIuEtZlI5CqlmqV2vaBW+vDsPL5uSBKWEYW9mg408d/r9HUs04XDIRUbd/RGZRMqaWtrF2Hbm5vzZqyvdt+yk9Z+bSFepCEtMYveAz3Czs6ORRymuBQTSf+deAmJiCU9MxMtJezNq+ZXrvIsXFUN3/vOIF5FRtC9fjhpuriadb9erNpdPPsbf7x0lShXlx7WDdd5H3aYVcHZ1wM3DKVfvH2Dn6vNZryNC43jzXFweDxgrpkvmrB7E+N4ref44mFnL+9O4bWV2rb1g0rVzpQ5RUIhJvc3d9+J/Ul5nXP8fIjJ378wtFQgCpKeKT+kNd3/GrazGouvS/tssGC6qjcrNZCgzVGzzXUQxN03uZ8nYTSTFpxD0/B1BL0Op0dwHK1sLWvVtQMNO4rb4nbOPObXtKu9eh/PaNwgPbzdKlHWhQcfqtPm8oda1zuy8pjPekzGaAuS3z94xuoGuWGP2NvqgUmtUBmS53NDocmU8MomUg3p2BA3h9LuntC2hvcF0JzKA2k6ls/JlzU8tQYqE8+1Et+g3iZEMvbZF65i+frnF+8AoXEvp7qYbOp5fPH8UxNf91nDo/lwUFvrZ7+cCXtHKo2yB35ucnFRyYqcWFh32Zkhv4fTrisLp1xUL6xb/z6Cdw3CjLPdPjddx0YV27SlnTgj1N64V7r4LEVps3ZDr/p0vjxO6XpmQqz6nQ56Y1K7FySUmHcst5k/cIcwevUl45fdOGNlusXD11GNBrVYL8yduFwL9w4Sfxm/LOr7p1xPC7FGbhDfP3+f7voIgCB18ZgrdavygczwqJTmryuXsG39BEARh7KkjWed/v3tDaLlzg/AmVqysGH5sv7D8znXhqP8z4YfLZ4XXsdHCiOMHjN0+/8x5feh9eitrm/bCycLaaNsrQa1I1aMzdeaNt57W+mdiSnUCF97WzTqfkhHI1eB2Ou309Q9O+Au/yLkGrw2QoYrhYqA4a2jt4aulGpA5zhal73Lhbe2s40UtG1Oz+DrOBdRAnU2gr5XHI6Qf2Y5lXqNNGT9iU+9x5/1AnTHUdzuAreK/YYxrKqZcPcbFkNe0LumFl31RmrqVYa3vLZwtbejkUQFzmZxxlw6TokxnQ6u8K08ATKnfiMdhobjZ2nGqv+7SpjDwi+8pahQtRf/L6znRegIyiZRLoS9oVly/KW1O+Lhf1/OrWN9wEIOvbuJwy7G0Or2MedW74p8QwernF7nXeRZpqenY2FnhWdGV6g28aNS2MkkJqTgUteX84Qf0GtaU84fu06htZXauOod7mWJcOPKAoVPy7nI0Z+xW7l19ybe/9qVpB13JICFbEj8TyRnpHHzhR/fy3qQqlVjJzfCwF3f9lWo1E2uLYogX376hjL0j6zp017muqcgXT+Gv1gNZ5XuNs8EvUQn5U5DMC269N608oCDxIlo7SRuVcpUMdZxW0AIIjN9q8BoRyeeylsof4857Xcb7fx1x6akMqliTpiXKMLKS+GDp4VmJw2+eci74FffCQ1jZrCvf1ck/FeRaUCANS5Zm5oXT/Hb70+RJe5aqgZO5DeGpCdyKKDjnqgy1ikk+rXG2sCVZmc6JEF8AmhUvz1Cvhig/fKfmrB2C94dd+dQUsWTu9gU/vvpeJNTKzWRZx718SjBjef98BS2AOasGceThPL1BC6CopRVDj+5j7KkjWsfruLrxzYVTOu0lEgmjTx7i11tXcbO1Y8ypw+x95pvn8Zk844qOSKBIMe0t9aOBT0lWZdDavZzRwNWk5Lms19lnX3nNcd19PxClOp6mpS5jLtNQEtRCGgFxuXOMyQ2iUq7SpowfKnUyN0K6kaIM5tLbhjQpeR4LuSsgcOaNDy+jf6WYVQuszXR37f4JG4e5zJmmpS5lOypwNqAKKnUyD0JHU6P4HwU6bo+tCwkYVDC7lB9DqVYzsZq2iaeLlQ1dy/iw++UjJlQVZ7Fl7PJv+tDbuxK9vfPu3pOdUW8q3K3FWUMxC1uCkgvOj/BdSizl7ETOo6dtMfwTNH4AUokES5lmxt6pvyidPPkXUe23RVcx5zh4Ujut45MW6FcDLgxs7txL6/eNncTd0UUtxDFNrdc465xUIkEQBCoXc6G9pzbPMC8wecY1pPUiEuK0DV5dLG2ITEli+MU9OsXGhY2Y1Hu09vDVClogKit6OhSeE3VtV3EmJZNaUdVZJDkKqD8ELcieT4xI1r9DUtp+8EdBS+zX2kPc8o5MuczTyO90O+rByZj1RpPZhY3RleuhFNT0PrEDgAofuG09y1ZiS+s+1HLOH1nz38byp+eITEtEioTepQuOOV7auihf3dxJZFoiIckxjKuYt9rR/wVs6NiDPzt0L5CgBbmYcZWr7EZIQCQVq2mIpMseXWFFo7yvU/MDG0WFf+W+lnLNl9DSTKQZKGT6d3OUav3mlsVtuhq4uibohSWdxsfpJwPt/ltY/+Q2m/zuMsKnTp6vkZ6uRKEw/HEUyGmLqXAxt3pXWp9exs6mI5BJpCx4fILdAXcxk8qwlVtwvt1kmpxcTHRaEnWPLWBVvc85FPSQS2EviE5LouXppZxvO1mr36+1e9PMpTytilek7enl7GvxJQrpv8ZO+p+Dyf9TMZGJTB+8jvQ0jd6857o67PJ/gFQiYWKVgi0bMQYfpx8/6f000Hx9zD7I3tqbV9Hb0lDgslMYrt2US21RqhMM9jUVy/65yponN+ni4c2U6tp/G7UgMO36cY4GPENAoG3J8qxsqgmm+paVlXctZ3Or3tR21mXE5zfhDtCxzSLOXtIl7w794g82bRvN7ZBg6rm5cz5Au6aupYf2UlwVNwWpZW8kigYUFJq6lOOfLpqC9RlVOjCjinYO6Up7bXenOk4eOtfR1+9rn1Z87aPJ/V1uPzXr9c2OhovYTcHzqEiuvA3gZXQU0SkpvI6JJiE9jXSViqT0dMxkMqzMzFDIZDhZWePh4ICHvSPFrK2p6+ZOhaK5527pw4aTt7n59C3rJovL2NHL/qa6Vwm+6tKQWRtPkJiSxrIx3YwqwmSHyYFr46mpOsf84yM59OZJoaqUGsJ/aedNbqJTiymwUZQnNvVevq6x+MFl9vg/4sWAqUSnpTDxyhGdNl09vFnSSHRT+eLsHvqc3MHe9uLGgLVcwYvYSMo7aD64iRlpeoNWYUOtEnOn9dzEe38cqD6GzH4JCOmo4qaAKgyZ4zr4yBj3/zbEpKRw6W0AC65eIiLZdAs0lVJJqlKciIQmJuIbHpZj+wbupahdogQjatbGVqG/IkIfWlb34pafWPR/+dFrJFIJD1+/587zIH4c0i7XXDzIReB6+SSE70ZsJD42mRN+C/h54g5C+1jhZGFNssqwOGBhQULBS+Xo9xv81Mjf7uzjqFBWPb7B0/4i6bGIuSXbWn+Gx1bNbqhUIqGZmyYArGzalWp/aQiZf3cYQJ+TO3jYT9R+2vD0Do1dPbTuM+TQPi6/DTB5XPdGjsHRUjeA9Ov1u97XAImJqaSman+2VGo1u548RiKBfpWqItP3lJYokNp8jTpmBOqkP0DIQGJWAYmFZlY54eRRjr54rtvXAC4MGk5ph7wX9GcGFP/YKGRSKXWL5+8hoFKr+er4Yc6+fmW8cQHhRnAgN4ID+f22WFNoLpNT182deS1aUcre8P/Nj9vOZAlMNq3qyfZz95AgoUoZV2RSKQMW7GTHjP4G++uDyYHrzwVH6Tm0CZuXiVudT+4F4NqvCnHpqQQm5s0G7L8GlZBsvFEhI6+moZnI/FtYGbGfX//0DrtePiQ2LYXYNG3Nd29HZ+KyaYHte+3LKJ/C0eBv1KQ8hw6IM8zISN3lcc/e2nmz5ttEYT5BgD/u3eHy4I+08YUE1CnHUcfPRua4Bom5mPBWRjRGbmEot1j4KGZlrfVvfrDT9xFr7twiJEG/IfOnQppKyZXAAJpv2cCMxs0YWbO23nabpmm7gv05SXvnM7dBC3IRuMJCYqjdpHxW4LKyteBLn4bMun2ChfU7Gen970MqMT61jUy+/AlGAmohQ4ecmonE9BeFfv9KO5fR26sy57qJX/ro1GRq7tGe7RQxt+RlXCTl7J14Gh1Od8/C0VQb/3U7xn/djhFD1rF+80ij7ff36Z/15de3LBIy/JBa9UVqpf1lkdkVnLJBfnA3LAS1IORpxnXvfQh99hpWE/03seDqJRZcFXfK+/hUZmFr/cTwgoLJgWvrhW85te8uEqmEEe2XsP7kFKbdPMKeNl8w+fphljY0/WmmkDnqZdEXJmwVGoZ+mipCh0YB8DJ6yScZy5PImVQptljPGU2u0N02b+TatiXLYa+w4GiAH509xPccn56m1SZJmc7cuhrJ7K3PdT0wD3YcxGendrK6WbcC4V8Zw7ezcv78nPB/ARIJ8y5fYFqDxqgFgcU3rnJz2Gitdqq4qcjsFyBRaPPKJOZNKSis2nTR5LZjhzbX+t1WYY5dLvJDAL7hYYw5fpjg+H93hmUq9j71JSg+jp099RfYFwRMDlxqlZp2vWrTrpdmOtjGvQKng1/QvlRFTge/oK27aSUQbra9iU8T7ZLCk87gXEAmlzkhezL/cmAz2pR5QvYdwnuhQxEoeG0qfQhNPEpk8kValNbWVzobIO5OOlu1wttpdp6ubSaVcbP3GLx3LmXl4xv4x0bhaKGdW2rs6oHXtsU0KF6KF3GRfOaly44uZetAaHICvU5s53qvr3TOFzS8yrnkeL6Dl/jZ6lBWwwPqpYeIKpG5giT/y7GckJ6u2VlXmMnYfeguVX3cKetRjPR0JeeuPKNHxxrU1yMZtOzuNSoWceLrWo10zunDT5cvsvE3NDKvAAAgAElEQVSf/G3W/BvY0q2X8Ub5gMmBq0u17znmq1EnHNP9N8ymeZCYIT7NNzQ3PboWt+6Cf/QyMtTxPAyfgJfj15jJHFGq4khI90MlpFLdZXUu3oZpkEoUqIV0QOB6cGdK2vUHBMKTzhKdegtnq1YkpD8jRRli7FL5ggQZSnUi14M742bbh3RVBBHJ5xEEMXBWKGoa+dQQLOVmjK/akLW+t+juWYmpNZpQ/2/N/+eGlr3ofHQL/0S9x9vRmSnVm/D7I10J5xLWdrxLisfV2i5f48krBAH05d5zUoeQ2v2COmEBMvtFIPkglyPJnSSNMUwa3TrrdVhEPK8DI1kyR5O3GTusBQPHbqB3l1o6fftUMM1iHsT59/9i0ILCd3cyKXCpPmxJZ/6rVqlJiEvBRq3M0RjC4E2l1jQvfYsLb+ugVCfiH6MtJmeI0JlftPJ4SFjSSR6FTyIp4zXPojQETzfb3vg4zeNlzFICYtcVyv0z0bqML1EpV7gfOooX0doWXw3cDmEhL57ve0yp3kSLv5Wdl2Uuk3Omm7aJg75yoHdJ8diY5W5Zk1esW3sep2K29OhVhzu3XzPzm78QBDC3MOPYKQ1HaurZk1wLesvK9l2YdvYk578Ypn0hIRWpzSQElcaYQ2Kmv5C/IDB62nYObh6jdczG2hwba3NGTN7KoS3a55RqtUmUhbX3brPo2pUCHeunQqOSBasWqw8mBS6ZTIrcTMZL3+Cs37dd+Jbv75zMlwb2x0slY5BLbfOl36VUp3Mq/AKdSpyhqLn+5Gg5x8mUcxSpBCmqBCxlIkcr+31j08NwUIhLG4nlVCoX0w4CpoyxqGWTHNtd8H/N6D2iq/eLmYZliHNClUW/8/ib8Xnqe+jNUyzlZjoBrrBw5rQve/aLxhkzpv2FR5lirN88kk7ttHOBxtQhNEHq0yz7rSwVvAqIoKyHds40KCSaEsV1c4PtPMqx/H7OBiWhiYn/s0ELYFO3noV+D5OXintv/pBlU5SJ8JRE/mjam1GX9xrtfyniCh5WpXkU50tz56bYym24GXWb+kXrMvrueEaVHYaTuRP7gg/StUQn0lSpVLL34dtHP/BV2RFcjbxB31K9GH9/KhYyc+ZUmsmcJwtYVv0XrWsff3+aNbX0ywH7xV/FWu6Ao6I471JeUsJSzJf84f8VjZw+w8u2LgeCF1LDsT0lLMtzO+og5WzrUdpaw4yPz4jkafxlGjr1BiSEpopuLY9jz3M76hD1inbHP/EuaaokurtPw1yWt3xLCy9PXsycRPn5ebekymvQqvrXckraOODXf7LxxgWETNZ0clIa5uZyflslGm2ULq09+05TKtnZ8zO+PHaYt3Gx3B7+pdZ5VXQ/kJVCSL+G1GYyEllpJAr92/QFgY3LB9P2s+VIJRJKuhUhLV1JaHgcFcsVZ8VP+jdYLOU5f+0absxfgX314q7ULuHGwCrVKWVvb7zDB6gEgStvA3gVE80u30e8jonO9b2lEskncdgyOXB9HLRAXHIAmJtQY3X03UkWV/uZ0taluBJ5nSZO+iWD2xdvg5eNmNRUCko+K9mT0talcLdy52bULQCaFmuMvZk9sR80vbNf+/h7XUmNTJSwLE9oqj9SiTwraAFYye2p7NACELCWO+BmWQFbs6IUUbhpBS0AOzMnipmXJjOxL/tAa6hs35zXSQ9IUsWSqkoiRRVPaOprnf7/C3jU72vjjQoYJdwciYhI4OypxzRv6YP1B1eiyAhtbpeHgziL2dtbf1AQMvyQO6xCGdUdqWUvVFHdkBU9VGjjtjA344s+9dm29yZvg0U5bFsbC1b83A8Lc/2UF2u54fRKfmpQJMDCNu3zrJ4hk0ho7lGG5h5lGF6jFrdDgvn99k3uv39HitI0knmTUoW/TIRcBK7BLRcyY9nnSKVS3gdFcXrfPX7bMIw/nt5kReMeOfbNUGcQlhpOhlp88w2L1tc6n67W/Kd4WpfJeh2ZFkVJK3FJJ5NICUoWk+ZO5uJT2EFhr3PtFTV+Nen9XAjbgkQioXaRzsg/JHFj08ORSxRcCt9GZ7evKWFVngthW2jhor0kuR11iHK2dYnPiCQqLZhEZTQ28iJIkSIIAgqZJTZyB9ytci5Lmnr4BBf939C1sjeh8Ql4ORVlcnPTdpvKz19G18oVefw+jDdRMTz+ZjzmH57kSenpHPd7waxjZ7SWmfGpadReuhpvl2L4hUVQwdmJsk5FOf70eZ6XowWFRUs+p33rhUikEs5cmJF1PDpaOx90LehtjjkUiaIG6rSLSM3bIqRfg3wSek3ByIFNGDnQtFrdtn9v4nTvoQbPD9y/J9f3r+laggUt21KuaMHmhuu6ubOth6YONSYlhQsBb5h76TwJH1FsAFysbVjfJedYUFAwOXCpVGps7a34qttvHH44j6Wz9jHmyj7WNOnFuKsHWJlD8DKTmjG67DB8457iZlkCe4UdMok5J0PP4mXjiWCgzKW4hQvTH33PmLIjxaViyV5cirjKnsB9VLWvhASJzrV945/S0rmZ3usVNXenTXHR3jt7MPq8tFiw7aBwoWMJjcVZcYuyFLfQ1dIe4CHurtqZOTGu/Mas413ccvflP+z7LM8BI3u/Pf88ZsOte4xpJLLbrRUK+lSrzKxjZ/T2PTR8ID+evkDLcp40LlOa409NL30pLMjNZHqLrD8+ZmVkM0jmuFl8YdkLhDRkxc4W1BBzhSfP3nH7wRuGfq79IHK3tWPYqX1sbKefLnAjOChX95nXojUDqlTL8zhzA0dLS3p6+9DTWyQjn37lz5EXzzj2Uvz87P+sf57qDvMCkwPXtgvfcv7oP+y5KVbJj/2uK0nuFsy4dZymrjkXvt4668vupdcYNbsHzvU0Scw5lcQP5ea6fxrsu7CqaMld2lojp/OFR3/szexZWl3ckWvkpFECaGmhP2j91+AbGkZTT4889z/65Dlrrt8iODaeNKWS0Q3r5qq/rbk5JR3E/Ifeer//KD7fv4c0lYZH9Wb8FK3zytAKyIt/CMQSc1SRnZE56bdmK0xcvPGC3Qfv6AQuQwELIDolxeA5fahe3PWTBS19aFvWi7Zlvfi9Q2deRkfhaltwYgPGYHLgkkgltPqgugjQ9gMR1dOuCNWKlsix79m9t/lybk986hS8h19esf7bHRxZewZlhpL2Q1swfuVHO4Oyvmx/tZIz2y+zZ/FhnNyLUq9jDUYv/kKrXXpqBt+0ncfzO69wdLFn7r6plKtlwvvMh8BUhkrF5EPHGdWgDj7FnfELDTfe6X8AYWFxLPz5CE7FbJn5vWguHBISg5ubZnduf5/PDXXXC0H1tkDHaCqSknSXUgDL710jPj2NHxq01Dn3MOy9nh6GMaNxwVUD5BflihQOhckQ8jyvG9h8AYDRoAWgUqqyrNZnD9bsmLx/G4kgCMzot5IXDwP5pvcKAGb0W2nwWmtqLaduEV1iX27QwXIAj68+Y2/oOg7FbiEmLI62ct1k74iqUzBTyDkYvYl6HWvw99Kj/Dp8Tdb55IQUOlkPpPOo1hyM3sSPB75hTN0ZXD1wW+daINIkMikQlV1duPIqIE/jn3/2EvM7tWVqi8Z09C5PuvrT6/0XNN68DmfAZ6uo6FOCsLC4rOOD+6/RaudTzJkKRZ2yfrJDFdkOUKEM9cr6kdrp2p/lF027LTb6c/TMI719n0SFE5QQp/dc5pLLVNQp8ellhgA+LznaeKNChkkzrjHdfyP8nbYCRFJCwUjACGqBedu/QiaVZtnBz9teeCUm7/xDUaYr+e3qvKxjP+ydTBtZX26feEDdDppZpYOzPX2/EZ/8oxd/gaunC7+P28DUDeL4RladSttBzWg9UHzyedXwYOaOCcztvYQzqt1Gx9KqfFnqLV9LZ58KRCQmoVSrWd27K0q1miuvA3j/wcxz94PH2Jgr6OQjqr4Or1eLtms3ExIXx9rrd+hW2RsLW411/eVXAYTEiXVtu+4/wtbcnE6V/h3FWFMxY9puTl+YgVQqYeI4jdFIyY+8AnMioMqcThX6LmImLh+aluP5+b+d4OR5XTOIdW0N54L/CQ3N97hG3NiIm5Ujc6v14O/AuxwPfsjGhuJqYtj1DaSrlfxZfyjf3N+DQipjXvWeWMvNGXFjIzWKlKZdicps8L9MQkYaK+oM0BH3CwuIyPcYCwImzbi+mtWV9DQl0xb1zfqRm+Wf0u9a2okZ/VbxXf/VpKdl0HFgI2b0W8l3/Qu+3CcTT2/qV1+wcbDG9yMH6MqNtHcFi5bQLFkigqMID4zEu4F2fWaJsqaz3lf26kLZokXYdf8R94Le0bWySJ5MSE1j9J5DzDkpOgF/f+Iskw4ez+rn7mBP7VJubLx1j186t2VB57Za1x295yCzT4rmJLNPnmPyoeOo/+OzstjYJKR6bN6trLST8TMaNUWChFquJfitna4qiaxI7nflCgM2Vvo3EX69e4XFd/STS5PS002+vqUB2aKpPh2YXVWUUz8RIgatJ7EhqAU1v9Tsw/bGo7H6QMdYWvtzrOXmBCVHs67BUB7GBOJl68JP1Xuxsu5AraDl/+ANI6tOYXD58USGRNNG2ifrRxAEujkMymrbXtGP3QsPZv3eRiqWQ6mUKo79eZbujoMZ5j2R9d9uN/n9fgyTZlxV6pRh/ckpOLtqxMI69TOszxQUEUuXuZv4Z6W48/XDBo1cydwt2tPMhXs1JMnWferSuk/uksy5RWyE/gp7Rxd7YkK1Z5XOpQxL10aFiG4vK8au5/dxG7TOSWWmrcClEgk7v9Cu8YxISaKYlbXR3cat/bXlkuMsNFpifjP087DsLMyzrjupWUOj7T8latf15JnfOyp6a6cenj/TzvtcCHhDu7LlGHZkPz5OzlRx/qg4+yP5ImVEI+TFdB218wNjsy2ACl7FqVBWt3A8IC6WZKX+ABWTanpyXjDA+Kpo70rLMws532Y6GWpxBeNtXwI1aqQfDG309RUEgdX1xOAjQYJaELQCl1eNMqx7tATfq8/4+fNl7ArSJskmx2vGrlar2b/iOH2niwHU2l6sFW2v6Idn1dIcjNlCWko6G2bsYJDXOLb6G04NGYLJyXlnVwfiopN4+kBMdlarVyiW24WOpr3q88fUbTrHg56/Y9RHifecULGeF05uRWjzRVOG/Zy7hLEhfHv9JN08fQhMiOXwm6cM8a6Nh50j0anJFLWw4nTgS9qWKsfjqFCqFC3OlKvHWNJYnHVkymfPvnWGufXaMPL8fta1LPzSi4LCTws+o3Wz+djYWKBSqRk26E8C30Yy6kvtJHZO9mSqyM4Iqo8K5IX8affnFe1aVKJdC91xrmzVxWAfBwsLwpNM451lSi7rw/k2Yt3p1kYi9UcqkSBFhpO5mE6QIGFlXY0ZcUmrIgD4BYdRyd0lV9rvH0MQBJp/1pALf4kPi8dX/Og8ug0HVhzHp0F5frsmUonMLRWMWT6UAyuO53Q5gzA5cA1r9ysdPqtLn+Gm72So1QJ9FmwjMj6JWl7uLB2p+aOpBYHZ209z+v4LHG0sqVamBAuHdcw6X33cMh78PokBi3cSEBaNu5MDf00foHc5kRs4l3LC0saCCY2+49dzs5HKpMzvL8oW1++UO+upjU+X0dV+MJa2lrQe2ITk+BQeXnyC3y1/pm/JvUWaBLJs3pKVGVk6WEUtrNj+7AHOVjYG+yZ/YDZn/vu/FLQycfbSTF75h+H7OBhLSwVt2lZGkou/t8zpKMrwhsidNbWAyvDCUW7NjuSUdKbM3suT5++wMDdjYJ/6DOqjTbI+F6gtsdyqlO6Dv7KzC+ffvNY5XpA4ct+PrVfuM7hJTdKUKv6+9Zhd4z/nUWAoIdFxyGVSNl68S1JaOiuHdGPH1QfYW1nQuWbOherVW1RGma7kzLbLdBzZmifXxbTLmW2X6D+jJ5tn76ZiPf3WZGqV2uRVSiZMbh0ZGqelxWUKpm86TnqGCqVKzfmH/tx5oSHXXfZ9zZFbT3EtYktMYgqn7j/n1vNArf7zd5/jfXQ8Hi5FeBESwewdp3N1f0P46fB0/G6+pJP1QDpY9OfK/ltMWJX7YmJLGwt8GpRn46xd9C89hhFVpvD7+I0o0w0/DXNChlrNheBX1HJ2w83ajjEXDxKdmsK4S4c5Fyx+8CddOcovdy8Sk5bC/fAQdr14CEBYcgLngl5l9dv78nGexvBvo6yXC9161KJt+yq5ClqZkBf9W+t3qUXnghqaQQz7egtPnovCmKlpGazffoVn/tqJ9lalymr96IO7nel1hQDXgwKNN/oInapXpKxLUSITk5HLpCSkpqFWC1QtJeZmzz95xecNq1HfS+RNDmhcw2jQAihXy5P3b8J5cdefinXLUbFeOVRKFW8evaV4GWes7SxJSdS/oZfboAW5mHFNW/gZI9ovYcS0DphbionBZh1zJr/VKFuCxcPFpUxahpJ6k37Pyns1r1I26zWAX1A4g5f8xe3lE7KOSaQSLvyiKaKtPm4Z877IvyRs1WY+Rnf99J1v1K2OzvHsu5P5xa+NNTPOr6trXIBXNhPVQU8HvmRZE80X8ULPUVmvt7UVpYpblSz4Jfx8P3GzZKb3GCMt8w5jvoomQ6adI5NYtDXQsGCwdsslGtb2ZMLIVlrHm3ZbTN/udbIUUN/Gx7LJ9x5qQSBZmcGvzTroXKtvpSpsffjA5HsPPLCX1xOmGG+YDVKpRCQcC3D0/jPsLM0/5LzEh8TARjWYu/8clgb+FuaWChJjdZeznUe14drB25zZdpmJa0bRc0JH/l56lGe3RRGCft/2YIDHV/SZ0pWSFYxTqIzB5E9Kk/ZVaNI+dwXDfZpolDXNzXRvte38PfZf8yUsNoHUDCVqtXbScFxn/YXYhnA9uDMN3Y/wMbPz4tsGNC99I1fX+i+ibancuwDfeBnIyD/38XDhxDyXY3xWshNlbUoZb5gPGPNVzCtUMaOQuzzMz9ByxN4j9zj3t66KRkWv4uw/dj8rcJW2c2BOw1Y67bLD20lXTtwYyq1cxstxuSsb+7mv+PAf0kzDh/xx/zkmd2yCjYWCXwd0NNSVcrU8SU1KY3D58cjkMpLiktkd8iclvIqzbvr2LJmrSo0qMqmphkNXzL0o9TvXYpj3REp5uxERFEVKYiqrbv9i6FY5Is+PuIHNF7D94owc26jVAvpcxGISU+g0ewNd61fiwPeDs461+HatVjtri9yJFDZ0//SlHfrw7F0EV58HMKJFzs7Olactw3fxv1vcbAq8bD5Nxb8+ZPoqmgIhRQ9/S9DPYC8oVPQqTvC7GNxLaGtvPX8VShXv3BNE7czNiU8zfcwqtRrPFUvwdCzC2S8MF28bww89cw6q2XFGrV/G6rRqT46//3hQV6wyr8gzcz7ZBAJqSJR+hvDNZ4Ekp2XwTe/mWcei4k2zBotOucm5AA1J9HGEuDV9ObAZF95qqBRqIYPzb2txKbAxMqkFAAFxG7gS1IK778UdFUFQ8iJ6MecCqpOSkft8gSFcf/HvlJkUFgQE1MKn54EJgljyYyoklt10fpAWrux0uxaV+H6hdsAMDIlGEKBzm9xLGvWomDc3pdcx0Xx5rPCJt/8VmDTjenznDbNGbGTWbwOyjmVkGFeY/OLXv7j261jSMpT8uPMsLg7irphbUfHD5BsQStUyrvx99RG/7L1g0oCLWNanpJ1YnhORfJHKTuJUs2mpS1qB63pwR1qWFvW6z7wRk4sWsuI0KSne513iQfwi51LVeQnli0zjUmATmpXKWXUyOCqO7/ac4kHAezxdilDfqxTTu2qKusPiEpmy/Rj/BIiJ2uXHr2adu7dAlJ3JbPPivchArjxtmU6bTKw9e4sdVx+QplTiVsSetcN74GKvu7P4NCSc6TtPEBIdh4+7C/W8SjK+neFldkxSCk3mrOXKnC9xtDbu8hyWGglAcYvcL2WM4fflp7J8FVs307UQy/RVbLNjE2cGDKXqH9qcn0ejx+n0yQ65s/7yq4JC13bVePL8HU27aZRaZTIp5/6ejFkeSNqzm7VkSy7yXNlx+pU/niuW0Ll8BUbWrKPLcStATBu+kcDXEQwa05JOfXJeWRQGCoWAmokri8bQ6+etRMQlUcvLjVM/iUTUqmVcubVsPJ8v3El4XCJzBrTh7m8TqT7ONLXP8kWmE5p0Ar/I2bQorf+Dmd3+TC61Ri2kIZfZov6wdHC17sKTiBnYKETmu42Z8aT2ytM3GNeuEbU93dh94yELDl0kNDaBZYPEhLmLvQ3bx/al86LNdK9TSe9SMbMNGF8qxiWncmbWCNRqgSP3n9Lqp3U67TMD37qRPalWugQn/nnO63DDypWZQevmvLHYmLgUt5Fb8U+sX6EELlN9Fc8MEJdBxgLVxygMAurHmDGhAzMm6Cbb84pvGjZh0fW8SzcfffE8y6X7m0ZN+LJWwZO6a9TzZPGGYcYbFhJMznHFRiaydflpggMijbYtWcwha8dw36xBetuYm8nZ/532uey7jNlf6zvmF/kDpewME0Y9HccRn/4Uc5kTKnUqUok5vuHfUKnYAmzMyqKQF6Os4wQehH5JbdfNpCiDjb6vXz5vn/W6b4NqONlaM3HLEaP98orss7m+Daoxb/95lCp1lp35hgt3sDCTc/GHUdhYiIzxXvX0u8jIpFJ6LN3Gy/eR3Js/Xu9miSG8T4mgQdHccdxyC2O+iqbgv0RAzQ++rF2XVXdv5aoEyBAWXbuSpV8/s3EzRhhwm84tJNlIqiGBUSgUcrauOkfAq3B+3/klnevMZeORr5HLpRRxsuXUgft4ebtSzNWeEV1XsOfSt/m6v8mf3jljttKkfRV6D/tvSGlYm3lR3EZTq3YpsDFKdQLn39aiarGleNgP5+Lb+sikVthbiLubXkUm8SJ6EUp1Ak1KnqWMwyjUQipXglpT3+1ArsdgyjKroKES1Mg/pCYfBb6nRhm3rKCVE5LTMnj5PpKm3mVMDlpf3hNt0uQSORmCkj9q/WSkR95hzFfxhL/+GtNMv0UAqd0PqGKGIHPQLCdVsbknAv8XsKh1O8YeL9iH4vyrl7j7PoQ+PpVpVabgaDNuHwrhO/SuzTfDNwHgXbUkzsU1vLQ9m6+w4dBEwHC5Um5gcuCaubw/c77awkvf4CxiYON2OXvE9S35FbuD1uTYJq+oW2KX1u/NSl3VadPSQ9uh2dq8KY3cta3ZvRwn4eVofGfvdXg0EzYfJiAihppl3CjhaEtccsEoZBi6X9fFWyhiY0UND1csFbpFtRHxSZR3NW35Vvc78ct85dkbk8ewthADlT4kJ6czfcou/J6GYG5hRv+BDRnwhSjElxmgxpw4wuoOYgXGlDMntAKXRFEXudNZLS6X1LL/Jxt/m+l/MLVPc9rVrkDTyauZO7gd83eexd3JgaiEZMZ3a0SbWqaZJnfwKs/rCVPwXFGw7uqnX/lz+pXIrapQ1IlN3XpR3MZwRYYpmDJkPTMXiTW3SqWY+/aprk2feRcYTXqaSMzecdp4racxmBy4tv52msXbRlOmgmH1gw2zdrF/xUn6TO7EkLniG/m62Rxiw+IY+lNfmvWuz7pvd3Jo9SmqNvVm/tFvCX7xnhObLnBiw3n2h6/n6sE7NO6e+2Tf/qBfSFbF0971S65H/k18RgQDPRawO3AuljJb6hXtwYHghbhZVsi1xDJA18VbALRyTEfu+XHlWYBOW4lEki/btqfBYXz22062jPmMWmXcso4fvf9Mq13jimXYevke07s20xvYsuPhwolIkDBm40FazlvH+e8N55P+DSTEp9CjyzK+ntKBr6d0ICUljT/XnGf/33fYd0hTBD6mtiZfM7S67vJVUEeiTlwKStMDdGFj07S+qAWB+uNXmBy4MvF6whQabPiDsKTEAh/X86jILEchO3NztnbvTVWX3Ht6vguOxt7Rmm9Gbso6tm/LNbr2q4dUKkFhLmfqvJ7cv/mKyjVKcfm0Lx175y+hbzIdoqSnM1MHruXbIeuYMXQ9M4au12lz+e9b7A5aQ9Wmmi3dz7/pRscRLfl1uMjRun3iAVueL6dURTeU6UoCn4Xw6p8AKjUS9aK8qnvk6Y3IpGa0chnGtYg9dHWbTJ0iYs4kJv09Xd0m42JRhjLW1fMUtPRBEODg3Sd6z9laKAiJ1q9CYQqS0sR6Q3srC637fYyO1SuQmJrOylOmkWulUgm/DuxEeHwiaRmmlyWdDL1MYPI74w3zgb923qBHrzp07lqDsl7OVK5SkhWrBxMXq02TGX3sMJcDA7gSGMCXxw7rXEcVMxqJxA6p9cisn/8CpBIJFkYeLoZwrP+gAl3a6UN8Whrdd+9g88P7eo0wcsLUH3vSveFPTJ7THbMPjPu5KwYwpNMyhnVZjkqlplXnaqxbepJ+LRdx/+YrI1c0DpNnXOPndGf8nO45tint486KcRuYuV0jVVOvUw3qdarBroWHCH75np8Of0NRV0e+/PUL1s/cRUxoLBZW5nQY3hLfq8+o3Fi/M86hi4+Zv1E0f3B3dmDfr9o7GuoP9vUSiZQrETuxkok7oAqp5sufrjZtaVdv0NKs1zc2T0IqlTCseW02XrxLnVkrUchlqNRqVg/rzi1/XXODpV90pvXP6/n71mOszRWoBYE7P+vuhjlaW1J52jKszRWkpGfwaJE4s6hT1p1hzWvT/detlHEuwpvwaGwsFDqzKo9ijnSvXYktl++x5bK2Vbuh3UobCwXbxval1szfTSa/ti9e+HnN/X/f4cRZXYJi+QquWr9fGzIS1QdtsatDdIOSzGEFqphRSDIew4eCdZlFe512hQErcwXJHx46iSkFR3wtYmnJui7diUhOot76tcY75AM/XrrAj5dEytBv7TvRpbz+7+PnIzUbR7UaenH0zmwAjtz+IetY5utMfL/0c2xsLSgIFEBxmAY/HpgKQBeHoRyJ3aRz3rWMM7eOP8CldDFUShWlfdy5tPcm41cMpW6H6mNtd6UAACAASURBVKybsdNg4DKGogp3XC296OqmXX4xzFNjDtvFLfe6U/efBVHbpxSTOzVhciddCyp9X/7iDrYmBYUrc740eM7Q/T7GT33b8lNfw/V4DcqV0hlLDY8SuWLs//R0JWoEfvDJm8GsKShf0ZWQ4Gjc3ItoHX/5QluPK5PHlapSohYE/Mdqvw914jJkRXchkeftc5QfrJvch7nbTrPmyHWqeea/Hu9jFLOy5vWEKezze8Kym9d5l5D3Wb0pmHjyGBNPHsPe3IKzg4ZS1NIqX9fbuu4SpT2LIZVK+GJE/kxtCjRwDfGeRFxkAiuv6y88lsllPLvzivkDf6dyowr8cmImT64/p26H6gAcX3+ekQvylkxt6lw4Sdha3oVbo/e/gFk+hb8zt/S3gbRr+Qs+ldzw9nEjJSWdE8cf0qChdn1mdh5XcLzuF1di2Qsh4wlChmYZL7U07KxTkHB2sGHVeG05oRbVNEu8y0vFIvWo+OUUtdN+iKak3SYmcRMlihrezMrs18u7Er28K5GizKD55g1EJBeud2RcWip11q3BWqFgSLUaTGnQ2HgnPVCp1Ny4/Jzv5vc23tgICjRwbfbTJpBm31E8ECHmxIbN68uweZqdva9Xj9Bp829jWLd67D79gLqVSvM/5NxVaPj56SoE4Huf3JE/cwOZTEq7DlU5deIRT5+EZB37fq5hXTF9f5tPFaRyg3dRo0hNf4izw0/YWLbROhcY3hMbyzZYKmqhVL3jbVhnSrscJSxmOukZr7E0r4uTvf5dOEu5GZeHjqDtts0ExesvrytIJKWns+rOLZytbfiiavVc9/9qUjuKl3Bg9rTdzF3c13iHHFCggev/Fozu1YjRvUxzlP5/AeYyBR1dWxT6faZ925lp3+asn1Vng+Zh2Mi9NMvbGVYy+BSYMmcvPTvVpFGdHJLngpqidpN1glZc0g5KOe8nMm4hADKpE25OG0hKOQsIyGXOxCT8aTBwAZjL5FwaIj78770Pod++PVk5wMLC7IvnmH3xHPdGjcHRwnQu48nDDyhVphjFXPJfP2ryruLLJyH0bTCPDt6iIsTPE3fk++b/H58OtXdrSJlVdop5v4X3LlFvzyoa7tUEgz98b+GzfSmPo7IL4UkITSlcd5fXr0zzhrwz/CtuDh3NzaGjWdIm70n3jFyoTuSEf3yDcgxaaiERlTqWuMTtpCvf8D5qHPHJB8hQBmNvPYDA8J5IJGLuSIKUt2GdsbZsTVrGM1TqeMzNKqIWkrT6GUItVzdejpvEi3GT+L1D57zadpqMWn+uxnPFElI+qO4aw5AvW9CyXWU8jZCNTYHJM65vvviTLeen07eBmL+6ed4vTze8eM+fvWf+4X1kHKFRCVhbKPAqVYwSxezo3ao63mVMeFPZ/iJ7zjzg7tMg7jwJRCaVYG9jSYdG3ozo0cBw/0+IqLgkFm4+x5uQKILDYynhZE+HRt7Uq+JBFS9X4xf4ALUgsOvEPU5e9yM2MZXouCSKOdpQv4oH5Us707NlVeMX+QjHAp5xuPNgXD5IQrfYv45J1RvxdOBkqu/6jX8+F5nOY8oOZIX/Zlq55E4fLTf4Zsoudu4Za1RMMCd7stwgOcO0L5sxdGtfnZjYJBwdrPWeV6rCkUqtkUpckcuK4VpUu0i8lPP+rNeW5nWzHdemenzcLyfIpVI6latAp3IVUKnVjDtxlHNvXqEspJlYpdUr2NHzMxq4l8yx3eJ5onrF00dBdOyWvxIykwOXrb0lEe81Ljgu7o45tNaPn9af5shlba+5+KRU7vsFcd8Pjl5+QoeG3vRrX5OKHoYDmJW5SAv4ZdNZDlzQNt5MSE5j3YEb3PJ9y7rvdU1eP0bA+2j6Tt9s8PytrboicfqQna5xc8tkJBKITUih69frUGZ7ugeHx7LuwA3WHbjBmpmfUbOicc2mn9af5uqDV8QkaLvAvI+Mz3r/l+/7s3xq7nTmyzs40WTfWvZ2GEA1J1feJsQw4fIRJlzWLjVZ6b+Fzq66zssFiaTEVJMUUGc0akqXv7YbtCczFZkOOPnF0H4NWbzqND9O119rqZB74ua0pUDulRfIpFLWdOpKTEoKgw/twzc8rFDuM+zQfvzGTsyxzbQP7uSrl5zM9/1MZ85f+JZT++4ikUoY0X4J60+aLhk76PvtPH9r2lLA93VojkELwKWoLW3HrCbOgIY1wKOX76g3aCmzhrela7OcS5MKGqdvPmPx1vMkJOXMG/tq/h6j48vOKcsJNx4FUG/QUoOB1sZMowSRSTBc30pMZB9540c1J1dK2zrwWbmqfFVF2+hhekXDtI2CQpduNYmJScLRUf/MJRNG7clMRGIBFDADDJ+0hdDweC1Zm+wwxcrsU8DR0pLD/UQdOpVazaijh7gQUHDGHGkqJZVWr2B3775UNvI3qVXPM9/3kxgpTck6+eJxMIe3X9dSh1i+27gG+Ygfd/HYX8PFKevuxNpZn2FnrSGiqdUCfgFhLNx0luVTe1LEXpcvkn1Gkwl9RFSAbpPWERqlUQUwddYEkJKWQfORv+e6r77xASyb2oOGVcvkeXwLNp7hyJUnNK7uyazhbbG30SbwXbjzkvkbzxD/IUh2auzDD6N0cz+hyQm0OrAea7mCkrb27Os4kOb7/yQ0KYE6Lu5ZmvU7n//DD7fO0KZkOda0MEw4HnJoH5ffBhg8/zHujRyDo2XOidwvR2ygfcdqOgXXlavkvATJC6qtXZkrhviFQcMp7eBgvOH/GE6/8mfbo3+4FlRw4pevJkzRya+tXnIyy0IvODCKX1YM1O2oC4NpOpMD16R+axj1bSe8q5vOa4pJSKH9WE3id/HX3WhaM2+lCx8HBicHa46tMKxFnn2msuKbXtSrbLr8cPa+eQ1cTg7W/PXLEGyt9Cs3HL3yhHnrTuVpfPqQfcwbZ39OpbKm58/ygoIOXH26/2bw3N6DmiXItaC3NCpZmtV3b3HoxTNO9R9s8hiyI7fFy3kNXKERvXAq8htymTupadcJjeiFh7v4IA+PGoqj/ffIZC4EhngBEhSKKqSnP8LN5SJmZmIZ3LuwlkiljqSnP8TaqjtJKceRSqyQSCxwKy6KC8TE/URcwmoUZpVIz/BFIjGjtJuo6hsQ7IqZ3JMM5WvMFdVQqt6hUkVkjSMTK27fYPnN6+QXlnIznoyZYLyhcRgMXCYvFYdP68D3ozZRqqxzljrEkh05LyH2nNZWZ8hr0NKHcX1zZpXbWpmTkCw+UX393+c7MOQW4/o2MRi0ANrWr5AVuApifHKZNCuX9jIostADV0Eje3DKCVZmCh6FhbLs1nUGVsk9l+hTQ6GoSnrGU+Qyd9LS72BhrtngSM94gpm8DJExk1CY+VCs6DrM5J5Ex35PWNRgSricRSqxIT3DD1ubIRRx+Il3YW0o7SYu8d6GiJ+ZxOS/iUtYhavzccwVNYhL+J2YuPkoVcHIZWIONUP5mqKOC7G1HgQIBASXID3DD4WZxnpsQt0GWMjlrL9/l8hk06TU9cHQLuPOzVdITxVrZId8mT96TYGqQ3yMjYduZb3+qnfB8qI6NMpZm7tL08rsPCnW7/n6v8+xbWHA2PgU2TSxCmJ8LeuW5/QNUT0iKNR0nXaA+wEh1PRwM97wPwAHCwva79zC/j79cbctXD15UzFuxi4ePdVPUzi37wti4xdhZdGGuIS1FCvyO0kpR5BJnVEqgwAJiUm7tWY/RRzmER+8nrCIfrg6iwYwjnYzkUptARUSibZybWT0eKRSO8wVoheDve141OpYIqPHU7yYRmdODFoAEqytepCUckgrcAGMqlmHUTXrEJOaQt11a1DlUeVk+tlTLGytbSXYf0gTVi85SUpq/vOLJgeuNj1q4f80BP+nIVrHTEGJYvYM6aot9fwgYjbRqf/gZFkXB3NvLGTFcLFqQmDCYUrZdiUh/TW2irwn8ZyybU9Hm2jE8W+hIMbnaKfJC2ZylBYfu4yLvQ0JKWmkKVWMb9sAM5mMlvPXsWFkb0o7OWSpTgz5Yy+bR/dh+Lp9bBj577DP09KUrFpxmjevw7GwVNChUzVattK2sf8n9D0PRo7FysyMs29e0bqQVROMYc7iI5ibyzm2Yzw799+mb7faHDj+AJVaYMQAsTQmOfkYiea7UKtjsbRozfvwrijMjMvbpKVnFs7LPgStHCCoeB+uvbMplxvODUokliAY3ll1tLDk5fjJ/HjpApsf3jfYzhD2PvXVCVwAg0e3IDGHTTVTkavAlR0Dmy8wOXC1baBb8GqrKEs5hyGkqaKJS3uOi20TBEFFYsZbXsVto6y9YVlmmxyWYP8FFNb4UlIzOH7tKUFhsbx9F01YdAJxSamkpSsN7mBaKRSYy+W8iYjmm10nWDawM3HJqVl6YZllMxkq8UP8x7AeJo1Fmkt6Y5oqZxmdV/7hjB6+nnYdqtKiVSVSUzNYteIMixcc1VKNyO6Ck9egVZDM8iu3Xmb5KiYmpeFgb8XQzxvRc+gaHj4J4vf5nyOgJCFpBwoz0fUnLf0OGcpnWFrkXGhsrjB9KSyQjquzrsxPfvFDsxb80KwFXr8vzUqum4rolBSKZMtrBrwKx8bWAlkeHMo/Rp5LfkyxJ8uEjaWuKYOjeSVszDywkLnwPGYdKaowfBwn4GHXi8shX+QYuKxy6bf4qVHQ44uO+z/snXV4VFfU9X8zcSdKEggxJLi7heDuUKxAsUJpixcoFCgORYoWK1DcChR3dysWAiEkQBLiQtxmvj8uyWQydickbd/3e9fz8DBz7zlnbkb2PWeftddK5fzdl6zYeVnvL09+RH1MYfTWI1RwccTLyY5+a/dQ2taGfo2q06d+NYZtOoRMLmfrSN1FsEYG+jnYZGRr503t2HaN1m2qKJX89Oxdj45tluj1OmIQEKvbN0Es8muvR8Uoir49yjjwIp+yRWbWC6ws+uU9l8mSMDYSApMEQ7KygzAyVA7E5iLleAwN3T4tO4sPPzVrwewrF/Xqcz88jDbeZfOee3g7qW2XkpWJhZF+v5lisyfLyFTcYa0sVDV47E2F2Zqh1JxGLgqNoeexK2hWaofWsY0N9bd9+idRlNfXY9IWwqJUC2iNDA3wcLXD3sYCMxMjgkJjeFcgtzW5o3YdrT3fKH5ItTxK0bW2eE8/axP9ZpWRKclad+Xu3gni5LkpSsdMTAzxqVj08jC7nxads7Vf4wrceRhM/Vqe3Lr/hpUbLzBuZEsePX2H2yeTWFOTJqRnXMfaajTwKWGf+QQrSyHnVKZU0KdEuwQT42pkZD7Gxek0JsbVRV1Daee7JCatIyTUBRPjGmRlBSKTp1DK+SZGhp66BxCBL6vXZNmtG3pRSLY/fqgUuO5cV/gG1G+iWCpPun2M9U31S08Umz2ZST4WdFSceKeVuiXVE/n+f8TIuXuVgtbGGX2pXl59Ev3njadVAldxwsZEP0E4/5go6pXSXCUwcrQf9+8FU6eu8g8t4EXRKq9GpiSz59kT3Q1FYur3CluyRTN6MOeX4/x54iF1qruzaIZQyeDsqOz87Op0Rum5RGKsQk3ID4/Sofkef1D72MZqDDZWY+g8ZTPHlgwv0F91bAfbZVz9O4hmemzMXh4yjEZbNupc9ufiblgoOTIZBlKhJDp/sMqPzJwchl0WXK+3+PYRNbbopWL+oAXw9fTOYrsSHl28gmf/W/E4UPGjrVe5jMagBRSBb4p+sNJzxhWmRjsrP7p2r0OPLitYu2EIrq62ZGZm8+eBezRpVuFzLlMFl0OKVotemm+p2KiuN/s2juDandd0bqN/7eg/jWY19MsR2pqa0citjGjGfY5cTnRqCs6W2jcWxAar/BCtDjHYbzGPbr3W+wUAztx6QXJq0UnZ/v+Gdo0qsvoH7Xmnt+GqJrDJ2cq1jRuDjhD2SeVhyB2F2GP+xxuDjoi6pmol9Su1ORH4Uuv51r4LSPqYxpf91tOq+QI6tF7C5o2XuH71Ja2aL1D6dytCeUkZnnKFgIRtec+j0x6gCfOuXdbruvVFCRvzQgetuEz9PSCfvvmg9NjI0IAJq47kVVIcuKRYFmdl5yCTyekwaRMAJ28phBI6TxG08N6EC2IAcjmM+eWgyusNqyluQy4XYvhgK55cZeDF3XoVgYuecTm42GBmrl8CLZcEKpPJGbPoAH/8LIrm/38A4vNRJBpX152neP4mQuO5/e8v0MetJbdjn9PGWVjil7dSVEDkPj4Ueonbsc8Z6d2Nef5bic9MYpBHe85H3ONenD/7Ginsyqo66ecGE5GczInAl3Qsp34Gdf7KdNFjXQobzq3IH5BiSP2S8/GP30xJM0FZ4U7kj4SlXMLJrC5NXFTZ+EVhsloQrXuvICMzm6oVS7F2kaDE26zrUuZM6UKLxsp/74qXfxKTkcj8akOZ+ngL1obmTK/cjznPdmBtZMH4Cj34+dlOBnm0wtPSmW3BZ3EwtqFTKfWpGYtPG0G55OPMTyYot56F0La+D7XyzdJnbDrFj1+24mNKmso4FT/VB6ekZ2JsaYZcLmfVeNWifX2rB4w/beLExSbzPiSGUm52HD1wj2HftMxrcz/6PRKJRGmjQxdEz7jiY5L5YfAm2leclvdPF7bNUSTzX4ZEaf1x/R+UkZ+X9eildpftv64803hu6N15NHUQkryVrLUHwJ6lW+S1KWPuzLSKX3Io9BKpOelUtFHu62BuTk1n/dj5C69f1au9JpgY2NCw5GJkcoGhXc5GsclQz+lnTAzs1AatHy+q1pJ+LuatOMGQLxqpFFObmRqzZbeq12dVG0/mVxsKQFzGR6ZX7se5iAfMqjKIgR4tORl+F4BzkQJ3aohnG41BC8DLVTBjNTSQUtXLheNLR7D8u260re9DSsYtvEs55LWdPCAEawtTrq8XynE6NFSQT5eMEVI/Vb1cKO1UAqlUkueYnh8RyfrNCp0sBMkkO3tLLp55yqWzz4iPU7Za29VyAEMr1CUsJUHdEGohesY1I9+OoliULqkcnb9ZdIDLG7UbLgSERFLBveT/SSbnw7nbLxnTR30J0bWHQSzZfkFj34XVRrPs5R6WVtdPdlmSj6eVKctiXlXVutCKDo48ihDP+i8qcwcJWnZtJRJy5OrTEvv9NQf4wuLR03dM/15VhdXRwZLYOFUt+JCUCD6kxeFiZkduKV5JU8Eg5ENaHGUsnOjgWk+lX2EQnbgECycFc97B+vOlt4PjxW8ASSUSrIwVq7Q2nWoQEZ5A74HKum4yuZyWpcoV7K4VogOXl48LOTkyTu+/i4u7PbUaiXuh/YuH0ucHwfEnLT2L+l8ux8TYEB93JzxLO5Ccms6jgDBiExUf8s2t4zBQE+2LGou3nSc5LZPImI9ExCYRFZ+k4l9Y/8vlGBsa4GRvhaWZCSXtrXB1tGFc/89zKREDJzsrouKSSErNoNXXaxnevSGtG1RAgoSnr8P5ZcdF0tKFWceEgS1YvvOSUn9LQzMsDc3ygtYkH4WhyPRKg9U+zm0zyEPgEM2tMpLHCYHkyGUYSJQ/k+4VK7Fbzx26+LQ0tcXWhx8+p3utymp6qKKh8xKl/92tFIFDgpQuHqozq8eREcUiaZyZlYNUDaEyISEVazVWXMO9FbuQG+sJhhnVSngq/S8WqRl3MTepQ3BkJ1ztVhGduITSDhtJy3yImXEtsnKUd2SjEhfgZDOdtMyHmBpV4W30F3jkEzIUgw0P7olu29zdM29HEaCErQVH9t/l5tWXzMxnmDHiygG2+PZBJpcrbXZog+jA9U33VVSo5sZ3c7qTkpTON91Xsfaw7gpwdxdbzq4bw6Kt57l4T+BxZGRm8zgwXGnX7N/AnxfF/egys3MIjRSmsQEhkRgbGvwjgevYyhE0HroyL3+x+fAtNh9WNn+1tTJjwdhO1KrophK4igrVS6i/SdV20b++sfn2zTz5Wv2s+3bQO6qUdubqy2A6VKtAYGQsLz5EEZGYhIuNFRnZORy4/5Qv6lXj1NNXZGZns21Yb1Gv231f8UiNz5rYib4jN7J3w8i8YwePPyQ5JYMV8z7PEEIc5MiRI5FIyJbFIJcrqApyuWaSuERijKHUQeN5dZh64SxB8aqbQJpQMJ95ZP8dQt/F0qjATrGVsQk5cpnSLF8XRMvajOu7jlHTOuXJ2nzfZy2/7tffturo5accvfyUiNgk4j+mYmVhgo9HSdxKlmBQx7o4O/w3Cmf/S7jv/45rj95w7vZLEpLTMDMxok5FN8YP8P3X3y995WEA1nfsQltv5WCYO+MKjIwl4EMUnWtUJDAylnIl7Qn4EM2toHcYGUi58CKILjUqYmJoSEBENBPaaLfKuvI2hBHHDn+2bLE2WZszl54zf+XJvOfOTjbs3zRSbVtNuBAchK+HFwZ65EiEGVfRLCt1QSaXU3a1OFHLXLz5Tr3Y6J3rr1Q4XTly4fMpMKv/fFmbXsOasWjiHoaMb8u7oCgatqzE9TNCzqBJW/EKo119q9LVt6ro9v9FvEqM5ujbZ0yuVvzONwB1KpWhTqUyjB/g+4+8nj4oZWVNmJ65q0nnTqsErvw49OAZARHRdKupvHS8/DKYtEz9tOLHnPir2LTWc9G2RWW8PBx59iIMM1Mj2rQQt+TNjxHHjuBqZc2RvgNwMP8849XiwC83VTcaCouzJ58oBa4VT66yJeAucuQ87yNOMVb0jKsocT92B3djfmdMBd1Lm3UvW+Bj0w4/Z2V79mcJR4lOf8mLxFP4Of+Aj007teeDk2/SyPFrlfP64mrkrzxLOMKYCpf47paQ8FzVUFxBci4SsyLZEDiEKZVO6Wx7PXoHdsalqWTzzwTHwiL040eabdukd78yNiXY3aM3rsUkTZMjl1NOzxmCNmiacT19EUbVip8vCVRw5vpl9Zp0q1CRGnru3BY1ZHI5869dZuvf+ilE1HB24c8+ipxqXGwykZ88K8pWcMHISLHBMuDCLhzNLFnZqGvBYT5/xvVvQVNwq1JC+CNfJKoPArnnE94VvW38qobdORD8mIcxodRy0G12UVgYSfUrq/k3UNq6cIHnXWICTbZuYlyDRnxXr+gcmeLS0lhz93ahpFgKgyk/HyQlNZM61d1ZOKOHUqnb5+CPx4/44/EjAJwsLGjp6c2s5n55vKh/AguvX2HTw/uF6ru3p3J+z87eEjt7gRpx8uhDJZefXS0HkJGTzeXwIHxdxbH5/xOBK0uWzomwqUiQ0tVNuEvuDxlOTEYQAA0cR1DLrr+2IQqFk2HTiUjzx0BiRKfSi7E3Ueh/ZcsyeBi3m0dxeyhr1QJTA5u8c8Kb/JqTOS/Y2ky3k1Bh0MRRszrGfw3rOnRhzMnCSaqsvH2TlbdvUs7OnsN9B2BuZKT3GHFpaZwJCuSnS+dFC9+VMDUlIf3zdaFO7RGUW/f/dZ/WvQUn99Kutqyc2xcnBx0aWiIRlZLCnmdP8moszY2MqONaikHVatCyiPXI1t27w7k3r3kcWXjOZVWnkmoDrDZ7ssvhQRx886R4A9d5/9e08PHCQCrl7PNA2lQuR8THZJytLUnJyCQsQch5eDnYseHqXSq7OtG8vJdGbtaJsKmEpz5mZHmFbVF1uz58SH2Cf+KJwlyiTtyK3kBI8m0sDR3IkqVx4O0ovi6v2EY/GjqByDR/7Ew8CEy6iLeVYhfRxMCQ2bXb8mfwU7Vj3489zM2YPWTK0nAwKUPX0j9ia5yrciDhcfxpHiecJCb9LU2dBlPXXsFQ3vbmG6LShVqwZk5DaeCgqONKzIrkYsQGurvN5I/g7/P617HvhiQflzgk5SHHQhdjIDGit/s8HE08lK7vacJZrkX9AcixNLKnjcu3OJuWU9vf3aI6HUtpzzu0LasfB0cdAuNiqb1xHT81b0HfylVFbYtHp6aw/fEjNty/q7dS58OR3xRqY0ET+nSpQ93qHpy5/Jzdf96lz/AN1KpWpkhnYblIzcri6tsQrr4NwcnCgh4VK+NZwhZfD08czbW7JKlDRHISx169ZNPDe58l2ZyLWc3VW9lpsiebee80mbIcWpfWLa6YC73f0ZtBb2lVSZCqWHfpNmNaNODqqxBiU1LoXrMy4QlJzDt+iT8+bVPbW5rjW0GzkunR9xMwkVrxdflzSCWKy6lg3YYK1m2KJXDJkfMobq/SMvTwu++5Hb2JBo4jkMmziUzzp5XLj5S3bgXAb68U9ukbA24x0qchoyqqLnE2vv4KC0NbvqsgVLsnZkViY5S/rk+OnBy+9BSY3Uv8O+BhWSsvuAzxWgvAX6EL1V57YNItlvp3YnKl43n9L0VuysubLfFvj42RM99W2IccGUv9O2IoMWZCReFu9zrpDjej9zCm/E4AkrJiyM5H2HyeeIHrUTvz+t+JOcjyF13z+quDBBhUrQY7nvytsY0YZORk8+PFc8XCcM+P5W1UCaNFAU93B9r5VeHcFX+iY5N5Hx5P694rMDUx4uz+ccXymlEpKfx2/26xjF0Y1CtVmlou6qWI5s84RHqaasnV3LrtOP0+gENvntLHW5yUj96Bq6GXOzOPnGNaB18GNazJwpOXmdrel/DEjyw5fZXuNStjkk+PqnppZ5afu86E1qrb1mfCZyOTZ9G+1FyVc8WJwI/nASHxnx/pOYk0cBxBcPJ1LI2c8oIWQDnrlrxMPENIUhy+LmV5lSgUK5e3cVQaIyHzAyPL/p73XDloCahhqzAyrWjjS0DiFRydPERf/wDPX8jNW1a08eVF4mUAotLfYGJgwahywutLkFLPvhd3YxXFsiWMnfmYFUmmLBVjqTlWRgouT1T6G06E/cKUSifz+jdw6MPVqK06r2mOb0s6l/ehz8G9ov+OfwMB34zLW8bYm5kTm/b5M4zgdzGMnbaHpOR0bKzN2LB0IK7OikT++asvGDZ+O1tWFM6R6H8KTvT/kooOjhrP/zhPs+ZWOzcf2rmpKiVrgt6BSyKBud0Us49pHXwBKFXCmintBOG6TYMVS5+KZZRQuAAAIABJREFULk5UdFGvfOhsVpkbUev4mPUBa6N/bvdELpdha+xOP89tGttICpRxSj8997CyY/PLOwyvoF2PTCyMJCbI0M9V2dlUMaU2kijKgEJTnyOXy9gVMkmpfSlzhUCgg4k7X3lvYM3LfmTLM3Ew8eAr7/V5/QGt/bWhjmspxtStz7p7d3Q3/hdwZchwpdxLN5+KbHmkWUlCDJp1XYqZqTFrF/WjrKf673mrZhVZ/lvxziL/bRzq019r0ALNQoKFwb+anK9u25uYjCBOhE6jl/s6jKT/DH/F1sSDxKwwjeetjFxIzooiW56B4afAkJSlcOIuqqBV1DCWmmFl5MAAD+25G3sTN76psJtdwROJyQjBP/ESlWxaYCwVSnF09deGiQ2b/CcDl6uVNW7WNkrHfHT80MTA092B9YsHYK5Gnjw/qlcqvt3nfxvetnaiCu6PHxZuElKp9LMDV/EXBOpAS+ep5Mgz2RTYUXfjIoKTaQVk8mxefjyL/BNVLS4jmJTs2LzzcmTseiMUlqfnfCQ0VXjT3ybHK/1Th2x50UuniEHlEi2JzXjPgzjN+ahcmEgt+Mr7N0aV28aJsKV5/W2MSorqrwkSNDOm/y00LF2G60NHqBzvXF780qQgwt4IN7Ltq4YqBa34KGFjauNPB/LaACycoSoR8z8dJgaGTGnclHODhopqP3dZP+Yu64epmf47xwUhasb18G04tdwLr/09bs9xVvbrpPH8QK/dvE25w2+vWuft7OXPP92O3sTt6E1ULtGZ5iUnqJy/GLGYixGLqWs/mLoOQ1TOf0h7pnJ+TIVLXIxYwr2YbaTnfMTdoj4tXRRSPSPKneJR3G5+e9Wa8tat6Oq2gqPvx3PinT9jKmn2iPzSaxXLX3TF1rgUpgaWRKa/pr/HL7iaifuRXI/eQVJWDGFpL4jNfE9qTgLelnVxt6ips68ECb4lh3ExYgM3ondhYViC2AzBRCE3eX8yfBnPEi7gbFqW2Mx3ZMky6O+xNK//qHLbWOrfIa9/UlYMmbI0UaTZ/Hjz3UQikpNo9PtGvfoVJUpaWHJrmGa388Jyog6tO0ftFpW4c/YJ5/feIi4qkWXHp7Bg+EasbS0Yu3QAd04/pk2/RsjlchaO2MTAKZ35EBLNlT/v0WZAY2o0Vf4+1HUtzb1w7fJF/yXM8W3JoGr6GfLmLhUnzVQhmuoNnYFr8v6TfEhMZv2grliZmrDtxgPOPg9k98gv2H/vKccfv+CP4X14/P4Dv1+7j4mRIUt6t+ducCjrL91m7cCuxKakMm7PcYwMpCzt04E69oOoY6/MU3K3qK9ER9DFqv/c8wB+zlM0njOSmlLP4SvqOXyl15jOpuVo4jiIu7GHSMyKpKRpWeyMxS8TbkbvznuclBVNdHow2bIMUYELoJ59LzwsanH4/VySs+KoaN2c8taKQFvLrgsRaYFEpr/G1tgVd4salDZXLtka7LUmr7+VkUOhOWXOllbMbNaCuVeLp/hbGyQgeiagL3qOaU3ICyHVIJPJ+XbpAJ7fec30zSN5fF1Qeq1UT+AjSSQSpm8eyZ7lJ/GqUpopvw1j4YhNKoFrX6++3AsPpe/BfcVyzUWJyY2a6B204PPzWvmhM3At7dOBZ2GRWJkKuZ6G3u4MaVybSwFvWH/pNp6Odtx58x5TI0N+7d+ZcXuOE5GYxJJTVzg4RlhqlTAzZWW/Tozbc7zILvy/hoNBTzn5NoCNvj0xoTl9y3TGxdyKpMwMHkVHULekOSmZZgz1PMjBoKfI5XKauXrRznUcp96+JD4jDVsTM6parKS9ewWCEmPxtrEnLj0VO1Mh92djVFJl5tPOdRztXJW32p1MvRhVTv1OoLNpOb7y/k3tOTH99cXQGrUYWqMWMy+d53CAP6lZ+tUa6osmZdz5unY9GrmV0d24COBZqRSWNuYkJwq7kwaGytmXiwfv4NerPpn53JvTNBii1nUtzZvvJiKTy5l6/gyX3wYXCa+qKODn6cWGTt30KgIvTuidnM8lBrbw8SIxLZ2//n5BdTcXXkZE57VxtrFifJsmDP39IL/266SkyfO/FTUdXPGPi8RQKiXkYxyTb5zgXNcR7A78m1GVhWT+9Nunic9IY1CFWhhKDdj16hEGUinfV2vM7y/uk5SVwffVGnM57A1uljZ8dfEAv/uJk235r2Nui1bMbfGJE3f/Lstu3ygyfaxO5SvQxqscncrrb6zRoLQbt0P19yT0qFgKj4qlqP9JX97hkxVZlQYCGXfimqF57QAGT++W1/fnPdrL0KQSCUtaK2prU7OyeBoVyba/H3ImKFDvay0MytnbM75+Y9oVAbm4OFCsRdYhKQFKzz0sCp8M/a8jKDGWXa8e8VPdVgw6t5ekrEwOth/IDzdPYSCRMKteK364eRIzQ2Pql3TjWngwOXI5Cxq0ZeXj6yRnZTKjjh8rH19nZt1WvEmMxdPajlcJMfjYfv7u1z+Bs6GvaKMH+zkXEcnJvIyN4dGHcB5HfiAkMYGM7Gw+ZmSQnp2NuZER5kZGlLEpQfWSzjQu446PvYNO95j/CuTIuR17nwpWZbEztuV9ahiuZs4YSAzyHsdnJvImJYR6drX4kB5JWk46XhbuHAo9hqeFOzVtq6rVq4pPS+NJVCRRKcm8io0hPCmJD8lJJGVk5L1/6TnZZOfkYGxgiIWxEcYGhtibmVHWzp6ydvY4mJvTrIwHLlbq38/RD8Yxr+pPTHk8g4rWFRjhNYTxf09lVqVpuFsIM9tHCU/Y9XYvcZnxWBta8W250XhbCsKIMRkx7Hy7j+olqnIp6iphaeH0Kt2Nts6tkEq0Tmo0Tu+KNXDtfreCD2nBSCUG2Bs786XHD7o7/S9AZk6OUuJXjuITUKfymJGTjYmBocrj/xJm3jtNTHoKJc2smF2nDd/dOEJqdiYu5tbEpKdgLDWko3tFzrwP4OtKjTgS8oz3yQmMrdyYxX9fooSJKXUdy/BFWf1zI//TkSXL4tnHAA6FHmdelWmcjrhIm5K+SCXSvMdrg37Hz6kJnhbu/Bq4kZZOTalnV4sdb/dT27Y6Fa3L6yW0V5QY/WAcbualCE4JIT0ng0rWPkSmR2EsNWZJdcFAZdCd4RhKDXE0diA2M44ceTbb6gkbMzEZMSwOWEFEeiRWRlZIkZCY9ZEmDo0Y5f2Vtpf+d9Qh+pcZn0c3WPdavIuLWIRHJrLn+H2ev/5AQFBkocfxLG1P68Y+dGlVDTubz+eSFdytyv/uq6vByx+oxAatrOwcDp99zJFzjwmNSMhTSdUHZqZGeLk58EWn2rRsqH2ZJZfLMZIaMKFaMw4ECZZX5obGeceTs4SyoWUNu9Dn3A5SszPxsrbnSMgzotOTC+Wd978FN2Lv4uvYmBPhwuZTO2dFLV/u4+o2lalsLaxIpvl8z6zni6lnVwtXM2cqWRett2RhMND9C8qYuzH58Y80cWhIU8fGDLoznMcJT6leoio76m9Waj/ojrIpbUR6pFKbaU9mcT3mpq7ApRHFfmuPyfiAHBnflFVfe6cvthy4yfFLz4mMKTqT2eDQWDbuu8HGfTfyjpV2LkGDGp6MHdQMY6PPf5tuvnlHI6/CJ4wzMrNZ+NtZzl5/obuxSKSlZ/E88AMzVxxn5gph48Te1oKtiwbiYGupsV9v7+pc/hCk9tyEm3+xsH4Hjr/151ViNF7W9lyPUDVhbdRHHMn15n79OGEpMT2xcDik8Xxa/DcYWwzBwLiuXuMCXLj1Mu990gapVML1vRPynvs6NkaOnBmVJmjs08yxIRmyTEykxuTIc5hTWVidtHRqRrY8G0OJ+O/g6dAADoc85fXHGEKS4gjq+6Ooflc/BDH06l6udBpLaQtlsm4ZczcA7I3t8LJUaOOn5QhWZ0lZSWwO3k5EegRxmQK/MUuWhZFUPWfL29KL0DTNJHBdKPbAtfnNHFJzknExdWdM2QWEvI7E0kpgaDuUFK/lNH3ZX1y+888kJgFCIxI4ePoRB08Lmkg92lSnW+vqlHUvXL7pamCw3oHrXXgco2buJTFJ1QevuBAbn0KXURuQSiUc3ziaEtbCZzWvXnuldmubqCdU5ua4vq/aNO9YLy9Vg1QLM2NS1BTcFsTlO4H41tecIE6OaoGl0yVABkiR5zOISIv7GjO730iL+xoT68lIDT3JyfIHICWmDxYO+8nJegzyHAyMqpAS2x+zEguQGnqh7qcxe9VJlWPqMG+8qsu7mGWeiVQgshpIlGfs+gQtgHalfWhXWpi9ee+br1dfMShYDpeUlcSYh+PZWu+3vGstOOMqahT7dt8PPuuZVnEDJU2FiO1RtiQOJa1FB63sHBl/HL7zjwYtdfjz7GO+nPwHJy4VzuIqOUM8mz47R8b5GwF8MW7rPxq08kMmk9Pn+y1cuv1Kd+NCoF0zcfWPR8491nre3G4TqbF9yU6/rLGNnBxk2W8BKQaGQmCV5YSQGtsPueyTu5TEGKnUAbksWeM4OSKX403qFK1G1n8dzz6+wNzATO8A+zko9leSI+Nw6AY+ZgnuIHeuKqzY6zfTvna/dj+IH5aIs4T/p2BoqMq29pm9goDZ4/Mea8K8Lq01ngP4mJxOr283k5yi3hfwn0ZySgY/Lj9GjYqlWTenaB1rJg5ryZv3MTzy184Wv/vkrdbzaQmTASNysp5iaOqHoWlrUqI7YuF4AiRGpMV/DcgwNPUjJaYrkk/ONqZWU8hKO4SBcU1kWQWX34aKMT4h+H2s6L9NnZHq/wgUkqPlaGJPukzxnb0YdaWorkgjij1wfUgLob/7BLJlwowjJzuHuJhkQl5Hag1c+0484Nftl4v78vRG26YVVY7lBi2A3rWqMFdNgJp+9KzOsa0tTf8zQSs//n4Rytg5+1kzS3uCPSQwkiunn6rMTL4a10Zt+19n9qZZP82BPhcXb73Cr6F6moWFw2Gl56Y2P+c9NrNdXaCtogbTwLguRua9Pj0W1DjN7BTE3PxBC2Dc/IOIwQ8jlT/7QZd30cuzOl3dheoE733zqe/kzu4WA/Oe5+agLoQHMvLafqX+v9TvQncPhbnM8qeX+ZiVwRdeNel4RqH17+dajk1N9dsAqXBgoZKRyOJ6msvytKGspTc9SnXhq3ujMZIYMtxrCM0dm+ru+Bko9sBV2lwQHdwesojhXrNo5FeJnb9d4s1LzdKwL4Mj/5NBq1ZlN51tarurN05wsRbHOfKtX+5fXxarw8Pn77n+IIgmtdUvg9pVmwGAb/tqmIgsojU0kCKVSpDJtLNuZq48RnnPYZR2Vm8P9k8gOk7zEjIX7ZtXomsr5Xzel+XqsCPwAV3dq5Ajl1HfsQx3olRnkb0vbOdhTCj+vX5Q2ln23jefLu6VlWy7dgTe50H0e9FJd3WY9eA0xlIDXvZW1OfWPqzeXGR97ZV5j6dWVGyW5N8l7FqqE11LKQJfXbvaeY8dTBxUdh2Hew1muJdCn+zg+6XUs+9IGZESSsU+p5UjRyaXIUMR2V3d7Ji6SD0jPD0ji+m/FE6/vCCMjAwwMzVS6zRcGHRrpZpkVmlTXf0br0mTrCAGdi06nzwDAynGRoaFXQGoYNmWi2RkZms8P3JSe6Yu7sP42d2V/mmDpkCYH3I5/HVBP8fsokSuW7gudGqhartXzc4V/wSBqvM8PoKqdurlXx7GCEtmdXSYaxFvVI79WFN72kEXzoW9ol1p5dVDpzLigoYY7H+3WOn/7cEzOBomzIAfxJ1ha/B0LkUJdbmb30whKVu80SzoOeNq6beQr75qzoCBjUT3icsUPrSRXnPyjvl1rM78SXv58RdVo4m2Q9eSlS1eWK9qBVd865Xji0519PqByuVw7sYLXr6JZN/Jhzrv+gO61KVV48Iz/1v5iEvYVirrLHpMiQS6t65OlfKuopPdAJlZArXizDX9qBWRMR9p99VaLu38XuVc+cql6PGlZtUMTVg4qSuN++qmRuw8eo8xA5rpPX5RYPLiw7obATXVaG6VNLMiPkOoN1znf5PpNVqy47UgkRSTnkKpArSDgvC2tufU+wB8XcrmHXMxt6aBk7vYy1eLyLQkWpVS3q1t6uzFztefJ6xYELkTlhLGTlS0FqTOr0Tvw8GkNO9TA3iVdJ/hXkvY926RXuPqFbhOnprM7Fl/0tJvIebmJvi28GHiRM363QWZ850tvyEyPB5DIwOmLOil0j4hKU100KpS3pWN8/rpc/lKkEigTZOKtGlSkW+/9AUEQuuNh29Y9cdllTzNNwM/70fz9/sP1HATp/I645t2zFt7Wu25Xu1q4tewPDUqFl6YztjIkFnfdmDWtx2IS0yl04j1ovtmZGaTlZ2DUYFNilfPwzix/y4d++g3Y5RIwMTYUOtMLhfvP8Tj5mKr1/hFgYfPddcyNqzpqfX8h9SPnAt7yW9NejG4XF3Ohb0kOCmOQWXraO0XlZaMk5kyp06MkYgYxGco71gnZxedjpyBxJD97xYjl8uQIychM4oPaUGUt6qDX8mBPEm4jFwuo7xVHTYHTcbCUL80gF6By8TEkIWLhARgcHA05849o6XfQiQSCTVruTNvXm9MTBRDFmTO2zpYYutgycFt1zExNcLNU5kTJYbcB9CxRRV+HN1Wn0sXBdeSNvRuX5Pe7QUJmbjEVL77+QDxHz+/Qv/Mi0DRgatD88okfExjzQ5hd2ba121o1cgHM9PPF2ArCDsbc27un0jz/itF3zR+Xn2KueOVE7ml3B1YPe8vVs9TXeaffjJP63jr53zBV9N26nzdUTP2cHLLGJXjf78Ko0b5zzdlVQf/1+JsuhZP6abxnJeVPXuCHuU9H+HTgCl3j5GYmc725oLtXjNnL65GvCE9JxvTT8tFOZCUlcF3lYs+0d3XqwYL/j7PF94KuaQljy8W2fg93ZSJw4M9Fd+BGiX8qFFCUT0w3Hup3uMXOsfl6enIyJEtWL3mS0DOwwch9Oq5iujoJKV2awOnsjZwKmUtFet/U3NjNi5TnVE8fqFbSM2ztD1ThrfS2a4oYGdjzs5lg5k68vPyCQDJ6frtFnZrVQ0jIwN+XzSQzn5ViyVo5cfMse11N/qE23+rMuHD3sYU+rV9vEtS0Vv3EjmhAKdt05FbTFuruNntPv2AYfP2kJqeydQ1xwB4FvQBgGlrj9N1knKCWAxOXXkuqp02CkQ1OxduRAZjbigQTO1MzHmZEMXb5HjMDYXP9cearTE3NGbgpZ1k5GTjnxDJ2BtCBYCRtOhNYEf4NCQlO5M7UW/JkuVwP+Y9iZn/DmewMCjUrmJmZjaTJ+3h2bNQJBL4eW4vGjQoy8uXH+j3xRpmzOiGbwsh8Te23GKlvqN6rGbDn98q8blyIabebtfyIYW55M9C07pltZ7Xxt3KD3U0CU0wNzPmyq7isbRSh1aNKrB53w3efVAvR50f6hjvumZVurBuTl9aDPxVZ7t34XGUcbUDICL2Iwu/6cTfr4TSkXqVy9C/XW21/WQyOSO66eeYffXeaw6d0W25pisvOahcHXqe38a4Kop0Q3iqcslaWWsHnvaczPKnl6lzZDlOZlY0cvIo1M5hQbZ8/ue543la2XGszTCGXt1LYmY6PT2q8bzXD8XCtC8O6KUOcfbsUxYvEu5w06Z1prlvRYyMVO8Gbdss4cxZzeqiAKcO3ad9T+X1vZj6NXW1az88+BOJBHysnTGSGhCcHEtb10qEpSbQrUwNXidFUdZK3K5eYfDj0bPM76qeq5SLqUfOsKhb0S5v3wdGMLrpHGzsLdn1XDHdfnrjFVUalUNSiFzIl5P/4PXbaJ3tNNUQZmVmU/ArZWwi7v7YuO8ylb4FYWNlxqlPy8X1h24QFpVAr5Y1qFG+FEGhMXiXFgimM387SXaOjAHtauNVyp6JK4+SkZXN7zPF50XFLp/Pbf8WCy1mGRP2n2R5nw4qj/MjJjmFGUfO8dtAzUvO/wqmbTvJwiHF401ZAEWjDrF40XHMzIz5ddUgvL01BwJTLcuakNfCLuPDW69VAtfnQIoUOYJiwYxqwpsaHSaU5+hpcqw3bM3NdLaxMjHR2UZfuJVzZsKqwWyZo1pUXJigBcIS9ZctF3S2i0tMVVLS+PtOEDvWXeT5I1WOktjZWN1qHtx9HKK1Tf4SqNE9lXcxc4MWwNyvFT+s3WcesH5qb9YdvC7qOnIhNueXG7RG7TiCiaEBv37RmYn7TxCbksr2r9TTflacu8H7+ERGN6/P9lsPC61//2/g4mP1Bfb/JPTKcV24OI3jJyZqDVoAR/8ar/GcR9mSeJQtiZ1D0YnALa7dgwW1ujG0bCO6l6lJeo7Au+lQSmArl7MuvtkWwKTWupOnVVxVjWFzsWrCTiZ3XsqzW4H08xE8DftVUMxobp4QEru/zzlEZ5fRfFlNs67ZgEqTmd5LsXQtOParRyFar7NHW3F6WU8ClCv7p47YiqmZEQev/0jfYc347c9vGTjaj34jfQFYcfMm3XbtouuuXRrHXD5NnBNOSJh+nJ/+bYXl45heqqbEmiBmyQzkkWKfhEawYVA3VvXrTHJGBvaW5pTQckO7GijkCY89eYGngy0jmxcdf6+4kZGlewe4uKF3jiv4TTSXLvurLTgdMaKFmh7KWDhlP2mpxWvfZWpQvInswqBrddVSoVy8ehTMmkszGV5vJqPmay7buHb0Acc+aKcu7PJfyp0zCrJmwbE3/XSApccm6/8HFID/6wgl1QbP8s7M/20IAMlJ6Xk3qAEtFzN4bCuC4+P5s39/rcqUUqkEQwOpzlzn1zP38NeGUUUiN6QJ4+bpLvGRSiWsnS3UcFYr7cyoHYcxNzZmctumpGVmYW9hTmxyKs9CIzj86DnNynnmPW7p483rqFg87G25HxLGrtt/K7HjAfZc+ZvFB5SNRppW8WT114rlZKOJa0jNUBBkjQwMuPfrd3nP28zYRJf6lRnbWZl7WWPsCs4vGImDtUXe8/KlHHgVpthkKVnCkjPzBFu3kMh4Rq4+qDRuLvo2q86wNorAW2PsCvZPG0SfhTvyjjWr4sWqr7vmOz+Q8qUUrIKMrGxaTd/IIL/ajGyv27dUr0/+4IG7rF9/AT+/SpgUcpdr2pLPE5Rb/vtFJnzlp7uhHjgW8oLOHpoDSy4Ov3lOd6/KOtstP3+diy/f4OPsyC892xOVlEx6VjZl7NRzVSxLCF8eG3tLDNTkDHOx9eECln+7jYv7b3M8Urvhhaaxs0SwwA0MpDqVED4mK+9AhYbEIJPJkEqlXD3zlG9ndAHA1V1Yvn1ZowYPwxWSM3VKqacvrPqpN2NmaXe6+ZiczvdzD7L+Z1UCc37MerqDhKwUxlfozq6QS0RlJNDYoRIljC3xK1kdQ4nm9zoiWrfe27zxnXG0s+Rg4DOsjE3YMEioEjgV8op53YWcZ0B8NCfHDSH4YzyP4sNZOaQTJUxMMZIa4GhmQUB8NFYOJrQuo7wB1GTyOpLTMri+dAyWZurTDIOX78PV3pqD07/MOzZx8zHa/7SF47OH6u31MLhVHTrWVfwOaoxVzNw9Stpy9lMQqzF2Rd5jTZi54zR/r1G/8prex48vl+3l3PyRWH3627777ShJaRmighboGbjOnn3K6NEt6dW78NPauRP24FlOWDYNHK1/APrz7N+0bVqRyuXEcaL+aZzxD2Tj9XsAWH/6UHbefczGa3eVirF1wczKFICIAjSDCauHULuF7uD5OXAoYUFkbJLWNgUJo1mZ2Ty8FUSdxuVISkxDLpMjkUrw/5TzysrJ4drbt2Tk5DDT11fjuGKJtY8DdIvQGUkNGVOuEztCLjKzcj+uRj+jpq03i18cwNbYkrp26gu3xZBhQVm+xtzIiPScbIIT47A0NiYlKxMLI2NufXhHuRIOLHlwlUE+wjJ80f0rJGVmsKp5Z8Ze/otvqjVQGTs5TaDPaApaAI/fhDPvy3ZKx0a1b0CfhTu59eItTSprJ8UWRP6glYuU9EwsTLW7dKvDpB7NNZ7r3KASC/Zf5K/bzxnQQihwv/vqnV7j6xWSw8MTPitoAZSt6EpOjkztHV2bYFwuZDI5I37cTdC7wvOGCmLmnbPEZ6Ths2sZcemp7Hv9hOdxkcRnpFFz3yq1fWruW0XjQ+uJTkuhyZ+K2c/3+4+rBKgJLRtjbqzfDHXpscl0dxurtOz7qs6P9PT4jjM7hSTz8m+3sfzbbcR+SGBgFWEX94sKE5g7eD3d3cZy92zh6vsc7XXnH1MLzNxmrxpI7YbCrGHO6kG0rzGTdtVmUK2u8OO5FxaGiaEh3nZ2OscWy1nTFWBy5MJ3TIqErcHniMtIwsrQjL5uzbgWrVlXbepScU7e+blbTV09CPkYz60P72jq6oF/nOBiPbRSbQwkEtp7lKdZKeG9aF7Ki62te2FlbIKrhTXdvdXfiKp66Oa2ta2tHHxzl1/nHhVNoX5aZuHs5OqW1yxIYGZshFQiYekhgWAtlwv/Ci5ntUGvGdfXo1ty7NgjOncWZ06qDv1GCJF4xSzV+q8533Wk+YCVKsfVYdCk7VQq68zmBQMKfS25mF67BbYmZhgZGHA/Ooxpt04jE7EVOaVWcxzNLJSOVdJQTO3tqPkHu+iwIOm77JQi6W7vUoLD79cotfv9vjLHZsLqIUxYPUTp2N6XyhX+9T7ZZ+WO3bSLep5TfpiKpC/kRwNfRR1n/eYVVHYSY1JTaVymDPbmujX9N87rz6BJ23W2+27uATbM1UxvKGPuSAWr0vxYWXlJWcmmDJVsNKvR3tGxswnK8jW9ylUhMycHH1tHfGwdycjJpm5J5ZljD+/KZMlyqGTnRCU7pzzTlD/aaLafi4jXrUgRnZCCq72qKKejjYWa1v8drB/bg1GrDxERn8Sqv67jV70sw9uKWyaCnoHr7t0gblx/xcoV6uvoLlycpvZ4QVw88ZgBX6sm8o2MDERL+oKQIM7lfi2f3pMGNTxE9SsIM0PlO7y7VQkudRups19ggjDri0ipR+O1AAAgAElEQVRVLKteRESptDv6+AVPwwpv5vE/AVHhCTi5qubwAp68x6eaG90rqRaBT1nwJ0um92DG0r+YN7lL3nHvMg7M+b4js349odInP56+DNd6fqiXem5dwSR4fgSGqH5+6lBQviY/nUGT4Ul+BryuekMzYyOiE5NJz8zG1Fj9eI0quvPN+sMcnqGQhxm/8S+cSlgyqoOw/PRytuf0gwBGdaiP0adrjIjXngYQA3VuVfqgfoUyzOzXilGrD/E2Kp5Hq8WnUUDPpeKN658v47twyn4un3rKmvnq6xIH91Bd74vBhAWHOHzuMWkZn++U/G21xpwPfU1iZjq7X2lmTu9//ZTotBRczBVLK7kc7gQrinLTMrOYdfx8kRXG/lcxuMMyLp5QlVkeN3ADAJvv32fz/ftMOHVKpc2H6ESVY2LSBiDIIBUlTl3xL9LxCosxnQSWf7/Fu3gdHktEfBKXnwYxd8/5vDaTe/oSHBHH/cBQMrKyeRkazaUnQUzp5ZsXpFpU8yY0JpEpW06QnSPjwt+vGfGrOFFEbVh68DJyufD9jklMKdQYHetW5G2UQDvR9+eh14xL7IxKG3TtKg7sWpfGtbwYMHGb3mMv3XSepZuED3bmN+1p31yc1EvujuLTL1RLbPqXV/CaCu4ozq7XCkczC671+DrvWMDs8bT69XcAHr4Lp+aCNSzv1YEOVf59i6nihJ2DFX4dq6scd3IRZmFrO6saSFiYm5CTI2PLkkEq54wMDUSJDH778wE2ze9fyKtWxq1Hwew9oVvWZVQ/8XywwmKQX20G+dVm6cHLDF6+l4ysbLyc7ZnxRcu8Np7Odlxe9DUjVh0kNCYRRxsLjswcgkdJhYJG32bVScvM4uzDVzSauIbujaqwdXwfes7/o9DXdmv5WAYu3UO9cauwNjfh50FtcSjE0tTU2BCpVIJfNe0ldepQKEPYrKwc1PUz1jClzUXB+kRt0s37Tz5k5bZLGs/rg5F9GzOkZ+FmcppQc98q5jdoSwf3/0ZA+piczrX7QTx8/o7Y+BQC3kTyMTm92F6vad2yLJ7cNe/54HbL2H5atQxoWKcVbDk+nkcfhGJnS2Njytnbi3qN23+HMGGBZquxXOhrYaYJLQb+KmpHsaheTx3OhvvTxrUS92NDWPj0JId8VdUwxOLUxWe096ui8fzwSTvwcndk+rftNLYpbtQYu4JHq8drmnEVTclPQEA434xRTZq6uztQqXIpJk3SXr9Uv1kFdm24xIBRLfh5/B7OHH7ATyvU3y37dKiFp5s938/9/GltrmeiqYkRLRqUY8aY9p+tCvqo73daz2dkq/4ATAyLhjAZm5DCiq0XuXireBx4CoPI8HgmDt7Esu0Kfk9mRhZh7wSTifmXL3Own3IifexP+5Ag3B3X/KxqxiE2Z3n80jM6tdD8AxULMUEr164NYPD1LTxP/EBZK0f2NhvFqFt/8DwxHG9LR7Y3GQbA2fDnTHv4JwtqdaetaxWexIcy5s5OvC0dmVa1Iz42zsx+/BeXI17yVdnGOJuV4ENaIqNu7cA4X64sfz9NYxfEpt3XtQauzb+oznT/CWRkZRPwPor5+y7gUdK2UL9FvX5JBw7cpU4dT2bM7Ma+vbfp1bseR48+QJYjZ+hX4oT2BoxqQWZGFkZGBhiban/5ulXdqV2lDA+e6cfx0IT0jCxOXfHnSUA4m+b3V/oSFhVuvXnHqN1HyFRT56YPj0sdwiMTmb78LwJDooq9/lJfuLjZ8fzRW3auv0jNBt48exDC6T8fYOco5P+cLFUNZqUSCS5O1nyI0kz2NDYyJFNHicmRc48/O3CFR6nm2dShXVMh/fAuJY56jl4sqt2LZwkCp6xD6arMqdGVNQEKXaufnxzjQpuJtDq3nHoOntgYm3Gw+WjWBFxk1uOj7Gs2iptRr9nXbBRLnp/C2awELmY2LK/bl6kPFbPN/P00jW1rrFiuRYj8e/4N1B+vMDHZN3VgocbQK3DduP6K02cEvlBycjolSpgzeHBT+vRezZMn71ixUvdFRH1IxMnFhlFT2hMfq3u7d/VPwnbxnNUn9ZYa1oSwyAQ6DF8HQAXPkmxZOKDIdOmH/nGIP0cNoPem3QxrVIfO1SrSfcNORjTW3zkZhCVgn++2FOuyryiw9cQE0tMy+WnsDvb/fpVylUrRrmcd+g4TbmiZOTkMPyJYzW3uJpSsrJoj5Du1UU/Wzu7DiB93a31t/9cRLN10nskjCq/TJqbEp1JZZ74b7AvAT38fYVtjwT7exUyQX36RGMG21zf5mJVOjlyGgUTKxEptKGFsjpHUgEdx76lh68awm9v4mJVOVPpHcuQyZlXvQkkza5bV6cvZcPWbA1aGpnn9NI3t5+zDo2fvOXTyER+T0viYlM6MJQphx3lTFDu3G3Zc4+xVf7q3r8HAHgoaQqcv12JvZ0FGRjZhEQnUqlqGoJBoEpPSuHZ4Ul67pt1/wdHeihI2ZgS+iWLu5C74NlJP6C0ITYx6faBX4HJyskYmkyOVSrh8OYCx37bG0NCA0qXtePFC+9Z03hguwods52ClV6F1rtTwkB928CpY3Ja1GLwMjqTJF8uxtTHnz7UjMNGRp9OFCiUdqOTiRAkzMz6mZ1DOyZ4nM77Dd/lmvvcTT7AD6DzyN2ITCrdj82/A1MyYJVuGqT23sWtXjTurP688wezx6q2xxFZIHD73+LMCV2hEgs42v85UcK48LR2UzmXIsvEtWYGpVdpz9L1C7bRg3azvmaU86TKbo+8fMePREQwkUoKTY2jsVJbYDPU38gxZtlI/TWMD1KziRs0qbjx5EcbsZceUglV+jBrUlA8aZmVv3sZw7fAk+n+zhXa+lWjvV4WFa05z+2EwDWp50ufrTfz6cx9qVVVw4Zp2/0UpsBU39KJDVK5cmgf3har2pKQ01q8T5E+ePQvFxUW3ZvS3/dYr/SsMti4axIKJ6j+Mz0F8Yiq9xm7mwKlHuhtrQWaOsES0MTMl4qPAl5FKJJR1EpeQBsEK69ufD/yPClq6MPKoKht9/c6rrN95lYAg7Rw3S4uilwTKj6ws/eRrAAZ5NWRT4FWi0pO4FBGAidSQuzHBZMly2BR4TeMY9iYWKm12BN0iKj2J5f7n1PYxkRqq7VfcsLO1wK2UQJy2sjAlLV3gV36ITKRmFc0E3n8Cek0vpvzQMe/x/Pm9mTfvKEeOPKBWbQ/mz9fMAM7F6j2j9b/CApBIBI7Pzf0TCQyJYviPu0V/8XQhN+m9YutFDq8fSUkRpS8FERwj8FJ6167C4jNXkcnlPA2LUOJ2acOuv+6xdudVvV+3MDAzMcLM1AhbG3Nsbcyxs7HA1MSIM9f8Rdfr6cLO9Rcp16kct969o9nmzaRnZ3P3a4E+UtLeih7taxKjI2WwecEA+o37XWdeb/HGcyqGrGLw4/JjOtsU9HT0snLEy0oor3FyFqoGvqsoUBWO+yk2btqXEiTLb7UXqER+n9rmb3OmtbB0ml9TYeXWvGT5vD4Al9pO1jl2USE3bWJoIMXKUqiZlUhQoqZ8M32PUp+qPto1/9+nxuJmrnzz3vrmMq2cq6ocFwO9Ald+cboGDcty/IT+28I3L/rnOVmPna7K7dEH5Tyc8uSNr90PYtovR3XyfsSi++iNAJzdNhZLc/F3/HX9hNng0Ia18bS3pdIcoYSpkZfuO9SGPdfZfvhOIa5WgFQioWWjClTwKknTOt6FdsS5cjewyAJXdGQiA93cONy/P+UdlJdXPT6Zkozor50XVcbFlvkTujB9mXa/zaPnn+gduA6cesj1B7qF8XLla/4PApbP6qVVMHTO04PcjH5FUycfPC2daOAgEIrHP9iOjZE5s6v1ZqiXL+9TYwv1+noFrteBkYwa9bvG82IIqmKcrAuDpnW8ub5XqPl75B/KpEV/ijby1IY2Q9awcV4/qpR3FdXer4JCMcC3vJfonUT/1xGFClpf9WpIy0YV8CxtT3aODAOpVOv2cm6pRmJyOjaf7qaFRbf6PyORSjh8a2aek7U6jJ/dXSVobT94O+/xuWsv2PnrUK2vJZZJHxAUiY+3ZtHGglixVRxX0NFOdVf0v4yyHo5Ei9j8KgxmT+xEp8FrObv3+7y85cad1xg5UCGomZKdQbUSZfimfFtsjS0IShbSAbEZSayoPVjtuPpAr8C1dOkJSpWypWEh9cxz4epmR5uuupeWhUXNSqU5vmk0Pyw5woNn7z6bOvD93INc2KGdt/U5SEnL5Ecdswl1WDCxi9IPesziA0wf2hoPF80F3av3XeX7L5pz5nYAfVqJUzvVhJ6DFdLJjs42VKqhOqv0/1s9lcXGSkFFMTQUl2oVIzJ45PwTpnp/vitTfhQHbaa4Yf4pH9dvzGYMpFKSUzM48ruQqrl25zWPnr3jaUAYIaGxhH1IwMnBiqF9xW0etWziw8/LT9D5y7WUci5BSGgsaelZSoErU5bFytpD1PQumt17vZjzkyftYcHCPmoNMv7LkMnkTFz4p6iqf00o42rH1sUDMTPRLrniM3uF3nytpv1W6BTuyw+/huWZN155mR2TkMIvOy4yb0xHZDIZ9/zf0bi6Fydv+LPnzEP6t6uNu4stq/deY/005ZvG8WvPCXwfzfj+vgC0H7ZOSdtd7TUXYM5v/fUsQ79XLWr+bfEJvs6XG1WHtPQsUVI2D5+/Z+yc/TrbTR7Riu6tVcuPCuLuk7eiaBA7lw3Gy81Ba5uBvgsZMaUD+zZeJjjfasLB2YYdl6bmPb9z6QWzxyiX20xa1JuWXQVdqvYVp3HqxUIAdq29wM415/OeR4UnMLbHavbfnqnU/1zEflo7K0rpYjI+4GDiwsWoP6lu0wh7E2elx/8EHsS9oYatB1/f3cSm+qMKO0zRMOdnze5Oh/ZLNeaRxNYy3o74lgbOq1WOX3zfHT83cXbn+kAqlbDix56AMLsZOGGbTqG8gngXHkfLQat0lnv4ODtqPV8Q4VGJegUtTa/vUMICJzsrDA2kHLv5gs5NK5OTI6ND40rc839HbGIK7Rupd2V6FxGPu5ZZmhioC1oA1ep6cT9MWfQvV/10894b7Dt2H68yDmxYqFueqFZlzRpP+bF003lRgWuaSN0tXUErF4sm7mXy4j74dVHIPrWvqPybmD3mD47+PVfJ+ah9xWn4dqqBQT59r5wcGQe3XKVl11oEPg+jXOVSnDl4j879VUvXglMC2PtuNS2cuvMy6RHlrYS/3c+pB7EZESqP/wnUtvMC+JygpRV6Ba4+vdewceMwPL30+3GKha6glZ4dhYmBPRItkru6YGFmzOH1I8nKzqHLqA06ZxYFcfHWK/waaibaBUbpJ3A4bJpm84iCuLpH+0xuwgBfADo3rYxMLs/7IcwaoahFWzVJ1ZCiZ8vqlLRT7KAmFSHZtZHfJ3/N48f5tWNHpVvokxdhNKlbluQU8Wa5XVtV4+h53QKJaRlZOmfHYpRExBbqA7TsUlMpaOUiPjYZW3tLLvwlUG0K2rVZWJmyc/V5Bo9rg72TNbGRH7ly6gnpaZl0GdCQQ79fY+qyLzh98B5rD6umLMqYl6OdSz/WvZ7JmLJziUgvmkqT/zL04nF5ezvpDFrhKec5FlyPy6HCLkx8xlNOhTTnREhjEjOVi6yj0+4QkXqFtOwIzrxtzckQxe6SHBln3rbm7Lt2vIhbg0yewfn3nTkWXJe/3tRCjkzt2KfftuRa+GDOv9e+Y2lkaMCB1cPo1rqa1nYFoUs9oFQJG3Jk4mdQ+gRObW7JBaGPjM7K3VeUnosRUdQXEUlJKvN+N1dbzEyNSE4RHyh7inQhOn8jQOv5KJEz7k4tqupu9Am55U0q+PR+JmhIlts5WhH3SeO+fNXSBAWE8+wTX9LLx4UXn+Sv46KTKGGvukkQlykkvu2Mi9fN6r8EvWZcJZ1taOknrLfVlcicOz+VpMwgOnveJVuWQlTaLZzMGtLeQ/hhHAuuQ2fP+xhITPiY+Yr0nGjcLAXGdFv3c0qB6+3HQzQvvRtTA0WgbOy6iRLGlfNmXLYmVVXGBmjquh05MmLS7uJgpllq2tLchCkjWjOsVyM6jxJnPvHslfYKgfDEj1T+Wb0j8+fUKq6c0avQfXVh4Vj1rHV90K7aDGavHkiD5j5qzx/s14838fHI5HLKfpJvnjSyNf6BH/R6nbLu4mb7C387S2c/zUFn0iLdKYlR/ZpQs5I4DXxAq9EJgL2TqlIpCAHJzlE413lAQ84dfsCtC/40aVMFQyMDoj4kcOuCZp2w/u4CJeiLMt8C4Gyq2CTJn9PSlt+qN3g5d7dPUDq2/uAN7j5/y9ZZCiGE16ExTFh+mJS0TL7v15xOTSsr3SSfv4lg0bbzvA6Noaq3C63qV1DZBKo3eDm3t43n4IXHrDtwHWd7K/Yu0G+nUa/ANWNGV2bM6Kq1jbmhQBswlFqQmhXKtfgh1HVagqmhEzK5wA2KSruFmaELbpaak7Ye1r1JyPDn3Lv2+NiOplwJ1VKSa+GqY+dCgpQsmTjmub2tBQfXDKfX2M2i2mtLJj+b+b2oMQAiY3Q7yQB09K1MvWruoscF+CP4Ml96+gLwMO4NtT7lHIoLXhWcNQatvDa2yryyMTP2sH6+eGfpXAzsWo+dR+/qbKdNpVOMW3fleqWV8nOanInEwrdjdRZP2ktmehbGn74/crmclKR0BnwjkFdrNizL/O+F9EGfT56UAKcP3EOqx4xbX9jbWHD+7ita1VOkQbYeu8PlDWPznjcYsgJDAymXN36LoYGUDt9vYN6Ws0oB78D5v/llXFdK2lmx48Q9ftlxkbKlHajlo3wDaP/tb3zfrzmXN4zlxuM3el+vXu/Emze6awT9434lIyeGxzFzcbfuSUpWKMYGtiRkKO4Y9qa1qGI/kYCE35CjflkVkXoZc0NXPKz7EJosqGZaGLkTmnySbFkqgNqxCwtXJxvRSdiz14um2PveU3G5iJ5tdWv8j763geF31gJw8P0tkrOFJeisp3uZ8HArkx5t40T4AzYFCWUlx8PuF/Kq1SMkMEpj0XznHTvY/eRJ3r9c2FiZMm3xEWYs1Y8KMmZAUxrV0h2I565RVVsFCHijW0a7hLUZdUqVok6pUtR0daWWqzgeny4s+WMkXWv+RPuK02hfcRodKk1n7E9dMcw3W0tJSqdWo3KUqywEylbdanH3SgCtu9UqkmtQh51zBzJ9rUKV+OOn5bv5J4efyLgkZHI5h38Zlpey2D5b2FC580zhXj57ZLu8fOmgjnVp29CHW09DVF7vzJrRdGgs5A8bV9f/pqrXjGvDbxfp1r02DRtqJgN62nzB2XftsTLyQoKUWk4/cyKkEVbGZZFKlG2OajvO53nsCuTkEJZ8mixZMmfetaGGw0wycxI4+64tdqY1qeO0GABjqQ0v4tfwOGY+nTxvax27MOjRproo+3mxEii6kCpSW9/NVTsDXiaX8XO1fjiaCMuNXm4NWRco/Gh/qtKHXglL+aXmELJkOXx97zdGeLemjYv6XJGYYmN1cC5ty7oFx/hxmeoMqkflyvSvpppLHFRImW4Qcl03H/4/9s46PIozavu/tbgrESRYcHd3dyhuRYsUKS0UKZSWQnF3l0JxK+5O8OAkaAiBECFGbO37Y8huNivZDYH2/d73vq69MjvzzLOzm90z5znnPvcxfac+f/2pwf2nLj8xuD8zMuRrILeYRwJKVw6g63f12bfxEiq1msbtKtCym/7nULKi1sMuWaEAJ/fdIrCMeVnVnMA9i4LpkcuPCPDTluKEhgkeastRq/TOjU1I1mynpMn5Y91xbj95Q1xiCnKFkt4tc6aMYgoWGa7g4DBmzjLdhNNBlp/WAdc1z71sa+g8BzRUCKnYnlLuQnq/tPtYvbnyObbT29ck3zGTczfLrzU8PvbZd9bOjA5Ny7F+z1ViPpheYppqFjrj6DnGN9P2lGu0cB2O1lZMbF6fSvl1lxrmFlFnLu41BBVqxEZ+XiJEpCmF7JlMLGFuhb4senKIEYGGl+m/GfFSssP7iDgiwmIMMugzOv6oAZVKpWlUunjDGVZMz5nscvXy2fcMNFQ58eRFJH8duG5gtC4y5GsAXsbF6cTmDGHLWcNUoAwOVmb0GdmEPkboI4bOafZNZZp9k/s//qwoWTAPO07cpnPj8szdcobjS7S1xSq1oApzed0oo8vvpt+v4ENCMocXDsbjUyPicYuzrwPNCSxaKrZuU4EP2fyofe1zl7X8tZHPjPo+mdR4EHbj1VuAkEhqvWwTzUsWpUI+P3qu1ydOZpeuNxdSkQR3a92M1tAizQEhu3i4ntaYuMjsqettuI/frNUnsk0+GMM/t6Zy9O40gw+ADlu3olKrSUzXepn1qhfl2asonuewR2bT2tl3H8+aXfxtcfaG2SbL/2Xy6VMUcMle/eS/grXPD/LLfX3PKDusntSVOVvOEPLJu3LJVN1Qp3whVCo1k5YZ77z0ISEZsUikMVqvIz9w/nb2daA5gUUe17BhjRg8eB3Nm5elsIF6sEJF3yGT+iGV+JAmf4Rc8RoraUHEYkdS0+8ik/pjLSuOXBGOTGp+tsYUZu04w9jOlnlWpvDqTWy2Y0zVrZXyFT6X8fuOEfo+hoNDhfbo117qq0N4mFn/9i4qgTyeuhmpE1sv07h7DV49juDO+ceEP31H7TYViXwdQ2RYDN1/bMm4dnOZffAnvfnKuhQw+Dr7TuSsgaw5KOHlhUqlYtLJkyxpJWQxu7au9FlzTvm+RbbikjNWHKdulSIa4u2L8OyLeueO1+W6be7YKVuKyNSdJzl06zEp6XK61ypHy4rFWXr0MsEv37JhWGeK+Xmy6PAl1p65Dmq4NWsEErGYwav26Iz5NyGViJFJJfSavJnBHfTLf6YPa8Xva45Rpc88ZFIJ8k8qvxnB+WbVi3P0yiPajllDmlyBn6czQzvVIj7JMq6kObDI4+rebRlPQyNZvOg4I0du1nukK0J4Ez0AgIiY71CpE4lNXEp4dC/S5I9Ilwsa6Wp1sqmXMYhfNhxl0PydXLj3nLGr/6Hf3B2EhEdx9VEYUzYKy8d2U9bzNCJn1eYgaHLFxmd/bT5G0toAKXJheXLsUSg2Mu19wcqA3ry3mUKKYRHGjalarcbW3pphs7pTplYgyQkp9BzXGrUarCzw6MztJ5hTTGvUCJlEQqeSWm/vQchbzeNLISVNzq2H5kkKZaBccd2bavedO+iy/W+T5zwMf8+laUOoEZif8e3r42xnQ4vygRye8C1TdggJkREtahI8exStKhbXLJezjskOi0J20PXKL9yPf07XK5MBmHB3BZ0uTWDMHf2u6+0uapsM97z6K2PuLCI00fjn0ahKUWG1UFvfK29UpSg7/uxL4byeiEQiKhbPy8iu2rDIlIFNGdenIQkfU3Fzsmf5+M5ULWVZNtxcWORxbd1muuPIh8S1iMWCmyiT+OFk15GPKWewkZXAwbYh1rKSfEhciauj5WUAajU42wuua0AeN8Z0qoe3qwNVAvPyc9cGAJQt+HmZH3PjO3WrGE9OPIuKZdjfB0hXKDkwRGhGkJCaxsO3+pmscsXM8zrX7wmiStkCOvsadxfuiAWK+1GguB9pKelY21rRom9d1Co1EqmYP3bpt1szhj5jN5s91hAunHjA7Am7SE+TU7J8fk3TjGZlJnH07jRGHz7M28RE3O3sqBcgxKdKFhXUTX+Zc4Dff8yZOOQ3zctnK/44b91pti/sZzRYnxlisUhPXWPbN6Zb6gFYSSVIRGKsPoURHG2sePQmiiVHr/AuTkt2fRX1ga41teVImccoM8X/jOFJYhj9C7ZmfsjfDC4kxICnlxH0zR4mvED9qbzYSizjm8sT2VdLSGz1v/YHW6r9CkCnSxPYVXO6wfnP3RKWdl5uhm+q3m6ObJ1muMmGRCKmY4OydGwgvL85908REh/Fqs66cfGsfLGcIFeJIS4OvcjrKcRy/D0FnXAf9yXkcVuAtUyw4GlyfUbzi9cxHD73wOTcb6LjcXcS2rdnDg6GvY9j7Op/iP+YSvDzCFYdupKja1cqVWYXYWdWNsiKB5NHUrdIAA8mj6SQpxDMPXL/CW3L6peOmFusHvwonDU7LpscY/0pgC+zliKyUD+/Vpd5Fo03hD/GbKPHd/U1Ma0M2NoJ15WmVLKpUyed/oqTZh9g0uwDOjV6lmL0tw2yHfP6rSDuuGTzuWxGole8noHslooRsQmIxSIW9xN4jvV+XUm9EgU58csAnXEz95+jdD6BCJqmUBgcYwqOMjtkIinOMnukn4jYv9xbRXRavM513ox9TLpK8P7TVXLepESTrpKTrpKztfpUg3NfvvuC5NR0fh2k364sMiURpdr8ipAvjdzpl/UJomwoCYnJ+3F30re20XFJTFt6lGevovi+dz2D567/SSvkVru0lvexbIQ2HrFvqmlNJ1PIrR6OErGYzhV1GdtdKpWhSyXLSouyYseRWwzobJlmvTk4ePperpT4ODja8M23+oKAHt5CjwGlSkWj9esp7e2tMV7d2gqZshJm6sp/LrKjerg42VKrklZP7Wr4a+ZdvszbxERSFQquD/7O6Lkpcjmlx8zHzlrGmSmDcXew59rT1zjaakUoT99/xh/dmmqeW0ulemMsRbpKTgf/enhYO3PrwxMCHYWlWWmXQhRzzE+8/CPOMnt8bT2wEhsPHbQds4a30Qk0rhqo4VdlIE2poPGxJchVQkzrfvuJ1D40n8uthN9yxQOzuNlmLI2OLmFNrW60OrGSM811ayrL7Z/JnbbCsrXu4YX42bswoUwTkhXpFHfJg6NM+Ax+ur6P2ZX12QRZYbHhatF8NmlpCkqV8mfhIsFlbNhgBpOntKduNsxpRzvTrPtt/9xk2z9CLWC9qkWYPLy5XobnS2Dc7P1cMGMZAdD/m+q5+toVSubl1oPsYzBJH9PYfeyO2bV62SHifbzZlQLmwMbOCnAwpN4AACAASURBVLGBZU5crEBKXdm2LXfevtXRSbr7KJykj2ncuh9Gr0ydZixFv07VWbfLtKdtjgLHkimddepBq/nnZUfn7JVPrz19zeVp2jDKvH8ucObXQZrn9+YKpV4NShXSO3dEi5o6YyyFlVjG4tCdRKbGMrPsMJ1jPfI3pf/16aytPIF1VSbS/9offFSmUtK5IL+U0L3J759r3OuzlkjZVKc3pV19kIiMe8dhHz/wLiWR++0n6Jxb5eAcjdFqcmwZ51oI1SWVD87heusf6XZuA9vq9uXU2xBmmWG0wELDNWPGQXr1rkW3btUZOUIbE7G1tWLD+vPZGi5LcDYolLNBoYCwNOzSsgLfdqpukYyyKcTGJzNgwl8mOVmG0P+bnHk9S85eZXg9faLh7J/b07CXflDVEOauPcWrN7EM61knx92IVCo1XUau401kzoimxhAdmUDf5nNZf1i4C6empHNsz02SEgUGdrcdO9jaWTdWdOnGM5b83pXhv/z9WYZrQOcaPH8drfm+GMLxi6aLrsG4fI1KrabaqpVcM+JxVSmclw5zNvM+PokALzc2f/95Ms/NXAUjMuC3b+j0fVOdY3+WEQxkPS8ti35dlYk6Y/oX1C5311bWGpG1WcblFlKV2nK7Mq66ceaLkc9QfbpdpSkVvEqKIe3T+IsthBisq5UdcpWScdf3c6ONfhbcECz69p8985Bjx8fp7c+Xz92scqCcQqVW63hjIBizSmXyU61cATxc7CmUzxNfb2esZFJNcFWuUPIxOZ1XEbHcD4ngbFAoz8KiSTVDzsQQfhtpWhDPFDI6/mSFrbUMO1srs1n0u47eZtfR2/h4OjFzbLtsi47T5QpCX0Yxb91pHj0zT4/p8o4x1Og816yxGTh6dxqnDt6heVlB5K5d1d/w9nXlyJ3fAaiVPz/99uwBYH0HYXm/5PeuHDhxlyW/myY1m4PpY9qYvObfl5pOvJiSr3kUFWXUaGVgz4//TldoU0hRpnDm/TmquFXCw9qDmx9uUdG1Aj/fncSfZaZxJy6Yci5lCU95g7+t6TrMAAc3Dobdp4lfMeykVlT3CuBNcjygNhlqqOyRn5U1u9L7/GY21enFzMptufT+OYWdPLkc+YKuBSuwuNo3DL2ynUnlmhqdJyssMlz2RtpERUTE4W5Bj8TcgEqt5lrwS64ZCKjb2VqhUKiy7YBsCdo1LkOjmoY9yvH7jjOjncCEXnXRMCv73hvjRqNfp+pmBY4z421UAr1/2kT18gEU8HendFFfPFztUSpVpKUrCI+M596TN5y8/MQiocKqWbKXlqBh63IUKOLNwzthBJb2p0hx7d13WNWq3IyI0GNdt7FQVuhLwZR8zcjDhzjSqzcyyf8s5d9rsTd4m/oWe6k9K5+tIV2dTkXXClhLdGPRdhK7bOdytrJl3oMzTLl9mOB2PzO2dCOaHl+GvdSKsm6ms/kiIDJVuHG3y1eGJseWkSRPpaJHProWrIBEJOJ6dBgLqnY0+71ZZLgmTmpLjx7L2bJFWwqwZ88NkpJSmWOgRu3fgrnei7ko4OfG2IHGKwJCMokHbrseTPm8+v/IhFTjYnndW1eiatkC9Ppxo8XXduX2C67cfsG27Idmi6PrhuH0qYFGYIA3T15kX4ycGW9eRRMRFoOTiy1vX8fw9rXAqdutfM37pCRikpORiMUc7SNImLT6dhmBBQUNqcSPaaz6M3sVVFNo3aA0B0/fy9G5puRr5jVvni1N4b+IfW8OUMujBh8VyUSlRZHP7vNqHc+30CqfeNs6auJWGQjpqCsp/WOphprtY020McDjTbXb6Solt2Jes7t+f2wNNLg1BosMV8WKAfTtW5tGDYVaqoYNZpAnjzMnT/2czZn/c1E60JeVv5s2yrsHaevtWpcuxg+N9LNr04+eNTlHoXwe9O1QlQ17ct6e7HNwfP1wncarAzrX4KeZ5stoNyszCd987lSrV0yvkcqiMS3ptG0bx/r21dnftU1FerbPeWwrK8Z/1yRHhiu7uscy3l9Hpz23Mb/cbM32pBLaWsqpJQXiajkXgW/lZpWzNna5ASuxhGqeBSw+z+IIb+PGpWjcuJTFL/Q/DU4ONozqW59mdcyX7gUMGi2AKgWyv9sN6loLqVSSLWcrNyEWibjw9w96pMuaFS2TGnFysWPlnu+RGUkaGBISzE2jlQFnR1uLVGVdnGyZOdZ0Jqvbzh3IlUp2df3vrCr+t8Mi//fJE9OlGdl0DDIKVye7L95m3VJsm/+txUbLFBoV00+FG0K/TtW/CgUEwMPVgfmTOprsw2guAormYUzf1TwKDuP1iyidRwYKurqaVFgwhjadF3HuQvZSNCCILlqCZrVLZCuJPbNxE+Y1a579XK4DNA9TGNV4ulnjjEGlVPHngFWaOdS51AT5fxIs8riGDtnAlCntCQp6xugfmiH9VN5w6WIIkyfv1ow7eWq8RT+Gwvk9Ob5+OKlpcn78cy+3H77+7F6IOUGl0vno2baKxWqjuY3Tm0egVkPLAcuIs7CZh7lY/ltXymbTNl0sFpndGTz4mqCNtW7BcSRZ1DP+XJ1zYrClGN6rLs9fR3P1zkuzxmeWrzGGfP8hZQiFXEkrL23J3NEPucfFA6h5ZBZeNo6kKOW8/hhLFY8AQhIiiUtP5kHbXwE48+4Jw4O2EeDggUwsISQhkrU1elPNU/DSS+7/VTM2A4b2fQ4sXiquXXuORo1L0bTJLPr2rU2v3rWYN+8IPj4ubPlrCKGh75g2bR+//GIekSwzbKxlLJmi5fqcvPSYTfuu8fx1tNk/IEsR4O/OuMGNKRP4ebK8GXgdE0dedxeWnrzCsEY5J6uKRHB47VBS0+SM/mM3wY/fZH9SNujasiIt6pU0W7e9e+vKZkkkA/jkdWP9IfNq0A4du0vRwt54ezrRc8BqDuwYQftuSxg7qjkvw6Jp3qQ0Ls52dOm9nCXzemq4YOZizvgOZpUxmevZbgkOpoq/H0XdzVPI/VJQpCto5S3QMkQiEUdiV3+R1wlJiORB219peWoxbfOWpV2+cky6vZ8LkaHU9i5C/TyBOkboYfxbepxfy+3WgnxS5wKVmHHvCONLC15qTFqSRc1bzIHFhmvjJsHapySns3XrFXr1rkVcXDL+/sISoEiRPFy9Yh4LPTs0qllMj4KQ+DGVyOhEHj59R8iLSN5GJZCUnMb76EQ+pqZr6AASsRg7WytkUgm+Xs4U8HenZJE85PVx1av+zy08eRvFmG2HGdW0JrdfRTBu+xE6VCrFxos3KeWfBy8ne8JjEwh5F83oZrU4dOcxIe+iWdbHeEWBjbWM5b9peU4RkfGEvHzPpVvPeRj6lqgPSaSnK1Eoldhay/Byd8TJ0ZZiBb2pVq7AZ9EbhvaozdAetbMfCFjbyDQiglkZ9Ifv/KbzfO6Cowa5P9WrFqJ61UJcvBxK9aqF+HFkMzw9HHVkjc2BuT+SrPI1xtCzbPY9Gr8ErDL1NUhPk9Mmj5DNn7j+O2q3+zxJIHOQx9aZ0q7CDd3ZypZEhTYzvvHZFXa+vEm8PIX49BSdOsYpZVtRcv+vGsM16MoWZlRon6vXZpHhssoUeBWLRUb5QWlpucefygpHexsc7W0+eQ3mt476Ggj08aRa4bw0KlmYg7cfMbNLc37cdpiwmHh+blWPfO4u/HHgDONa1mXOkfPkcXZkXMu62U+cCb7ezvh6O1OvqnGFin8DsVGJOLlkzwcCUKPm+AHTjXUzw5K2bJbgS93Acgt2jgI1JT01nSndlgCCVFF2Rivo3ivC38eR19uFKjmQlclc1mPoJnDuXQiz7h+jrndR8tg64SizYU3oRaPzPY5/RyOf7EUfLYFFhqtjx8qMHrWFVq3Ks23bFfL4uDCgv7DGDgkRCJbJyWkU/EINY/8nICVdMNpF8wjLiuT0dOysZORzd/l0XE5+DxcW92rDpF3Hye9hWfyk2tRlbBvajT037jO6WS36r9lNjxrl2B50l+Cwt2wa3JliPp48fhuFjUxK+4WbcXew4+S4nAWCzcWO8xOyH/QJ439sxY1bLyldyp8z5x/TpoV+/aVEImbOwqMsnd/L4kqHXxcdznaMIfma/xo8/dyQpylo4yPwnhyc7dj10nR5WK9Jm1kxsQtVS+cnKTmNXpM2s9mIDE1OMTRoK/faTNEYtdCE93qGq1/hmsx+cJwfSwr8RxsLOFrmwCLDNWBgPTZvvsShQ3fYvWckLi52pKXJsbaWcfXKU03PxT17zdeB+hpIi26DSBqIlctsnf2K5M2olW9QJu9A5jQBia1+70J54p8mj2ed/49OAoM+I761rI9urG9apyYGt81F+0olOfkglKBnrzl6N4RHEe9pVLIwjUoWBqDspIXc+V0gCkbGJ3H7d22Vfsj7aBacv4xCpWJV53acePKUp9ExPHj3nhF1auDtaM/EQyfoWqEMtQIsu1PfCXrG5mWneXD7ld6xrFI3TRpqM38ZRmvvNm0brFo1BG9y+yZhaXT6sH4/AmPYeeSWWV2YjMnXGEL/ffsAWNvO8rjt58DTz43WebSlRtkZLRBkxTN6FDjYWSP9Qmz/e3FvKOvqj0qtptO5lXrHx5RsTMn9v/ImOY4RxbOXHrIUFse4evWqSa9eNTXPrT8FOKtVL8yp0+NZ9/AGm17e5vuy2RcjX30XRrU82uaVy+9dZUjpnHd+MQZrD8Ptr6R2wp1IlW68O7XM8WeTx03N/yXQoVIpJu8+ToMShdh78wHtKwlGYMiGfSzv2w6FUoXqU7yhdF5d4qSTrQ1WUimK9HQWX7iKu70tqQolgV4eONlY42xjQ7+qFTlw/7HFhuvngeupWKMwuy5OZOf6C9RvWZaLJx5YVG6UG5i/3jx5IkuW2mvatUNlQXfy7KD8JHmcHfpV1PViW3gM4nC0aS358Mg4mgxZprMv4/nx5aaFQM3FrdaT+ObsSt6nJhLo5E1w618ouf9XvXE+ts6ciHjIgsrZCzFailzV4wLoV6ISi4PNI1DOvX2Bnc21ZR5fwmj9/4aCnm7EJCVTws+Lkw+eUtzXizSFgt61LOu5d+nFK4p7e+JkY6Ozv4K/Lx9SLKdgWFnL+HlmFxycBJHFAoW9KVDYm2ZlJtFneCOL5/svoebq1cSnpvDg+xHZDzYDyUnmZ0krNyrNo+vPSIpPRqVU8epxBPmLGa8N/FzjdKm51rtdW6O3ZvunktrVgbVYyoEGuhI6hqgOUvGXq+38bMP1KjGOfI4uiIDg6LeU9fDRO9bz2N+MrViXoWf3camTts4x4qOupMzMm+cYV7EuN96HU9HLn74ndjKqXE2Gn9vPpU5DCImLpqiLEDtKjayASBqISn4X1MmIraqjVr5CrYzA1ucFAMqUPagUT1Gm7ENq1wupwxByG/LEWcbnVyeT8q4kImkRRCIbVPJ7WHseQywVugWnvA1AatcDZeoRRBI/VPJ7SGw7YOViXOVAIhZRo0h+6gQGcOPFG1qWDUQiFvP7/lPYW1lppIMNIY+jAwvatTB6/MD9x+y594AN3cwvds2Al48zjs6C0XoRqq1xrFC9sMVz5RT7T5rX7GPcIMs6UV0eODAnl2MUb56aVwOaWdbm2OYLzB+xkcHVJ3Pw3Qpk1oZ/uuHv4xj023YK+rvzPDyG5RM7k9+MzlVfAq8/xtKjYO5XR0AueVwqtRqJSERpd/2aLpVazcbGnRGLRBpSqRqhYjxVYTj7mJHVyEiZl3EXjOFHuW7xtMxpMmJZcVKjGiC164DEthPp8WNRpp1FYl0PiW0HJIBaaVmzBEsgcxxrcH618hWp7xtg43kakVRbC5fyNkBjWAWIsfG+qXMcE4YL4Nf2ggfzQzNtedHhMbokz2I+lidI2pQqRptSOdNUC38ZzY1LoVSqWYRr55+gVqkRiUUaYurXwMxV2TecaFm/FG0bWa5IcfbFC41W/r+Bpr1qc+PUfS7sv0nrPN/Ra3xbeozVj9N1+3kTF9ZpPcPa/RbpPP8a6HJuNffj3jC1XGs65a/4RV7js/PM+R1d6HHsb3oc+5s0pYJR5w+y//lDRp4/qDnW6/h20pQKZtZsRvdjf5OQLrjKrQKKMeTMPhQqFaMv/MPRV094Hh9LeU9fuhzZSvVM8S+DFy8V6v9EYk9EEoG1KxI5Qw66COU2lKlnAJWO0TIEie3XDfh+SVy/KHRxsrW3plOtP+jfeoEmxhV86xVjhmxkxIB1APw0fDPf918LwLaNF/lp+Gbm/nFQc2zMEMuVMsxB+8Y542SZY7S8/LMvZ3r/OuddqH5a0V+zveVPw3FVBztdyZrsmgl/Cbz6GENxZ58vZrQglzyuv5tpi08X1Glt9Fht3wBq+2q/AFOral32+bVb6Zy3o7lWcWF5feHHXd4zy9pe9KkvoUiGSOycsRPU5gU/vyRU8mATR5WAsKQTW+n/kKLDY4WOz1IJ7r6uXNgTRNm6JYgKjyElMZVStQSv6MKeIGp/Ug59cT+MvIF+FpM1cwuZM4d7r/zC2SN3SUlOp3lHgXO0ctEJlm0QKBnp6Qrc3R2QWUlRKlXUrFuMiPAP1KpXjKsXQxCLRIilEu7ceEm5SgXMen1zVTVKFP5ySg8/Lu/P2NZC5rp1nu8Y+Htn2gwUMmoKuZKgo8H83nuZqSlMwsrGipVXfmNw9cmo1Wq6Bf7Atie6FQIHFw6iTv9FpKUrsLWRcXrlcCOzmcbsaQcYOKwhEokYx09xy5++38LE39pr9t29/Yql84+xctMgnXOvttBVixnce5XemKzo1nYh2/aPNDkmM3I9OP9/ECC2qogyZZ+Ro6aNy63T95DKpLx+8gaJVELPSR3Zu/gIrx9H4OhmT3x0IlFvYgh/EoGTuyNl65YgoJRp7/Rro15z3eVY/yENGD14AyKxiCkzviEpKRU3d0F8ct70g8ispDx98o4e/Wqze9tVxGIxxUuZV4a1aW8Qq/42ToDMQL9OudsvICvK1Apke+h8uhQZjTxNwbKxW1k2dqvOGL/C3vQY25pZg3JWY5i/mC8j5vVi0Q+b+fA+gcldFvHbdu1SUCwScX6t+UtDhULFuhWn2b/rBqv/GoyvnytD+q7hacg7Th69x/rtQ3F0sqV1w5mkpSno0noB67cPJSUlnZ9HbcUqU6wt+NYrNqw+y7OQSDbtGkZ6uoIRAzeQmqoN8Tx+8IYJY/4mf4AHw39oRqEi+o2lzYHZhuvps/cULuSleX733mvKlM5LQkIKu/fdpFigD/HxydjbW1O7phB8Pn/hCXVqBxITk4S7uwPJKens3HWdokXzUK1KIUQiiP3wkR4DV+PoaMOO9ablcf8nQWrXE7XiOWlRzbD2PAqAPOE3RBLz/lFnd1zG2s6KkUsHsPyHjSQnptKkdx1K1SpG9wJD2fB4IavHbaFENcNp/botZxncXzjAi7VL+uboPWVgztYz/Ni9PheCn1O7rHnyNxWrFqRAMW/cnYW+m9MyCU8uWKUbn5u9tDeWYMW27I0W8EW6JGWFs4cjRz+sYeMf+3hwNZQnN1/g4ulEkx41qdexCn6FvEn7TKHLFt/WpXmfOjR3H8i143c5vP4cLb4VKjBqfruAKxu1jTfq9l/EOROGrF3jWUz8rQODhjeiS+sFbD84iuUbBjDqu40sWNFHM+7gqXH8teEiPfpq46qTp3fiz6nam/OmteeZv7yPzvx/HxhJuyZa/mSxkn7sOTqGB/fCGd5/LUcsIC5nhtmGa8++G3TrUg0/X1fEYhHrN11k/uxupKbJsbKSYmsjIz4e7O2sSU5O4+27eOzsrUlJSSf43msa1CtOZGQ8Hz+mYZupBmvl+nMkp6STnJJOxLs4fPPkXiW+PHE+qBNRpd9ErXiKWhWDSOyI1GHkp+PzQJ2IWvEMxce/UMlDEIkdkDoI/2hlyl5U8rva4+k3EEl8tcdTj6NKv6qZX6V8hVjio5lf5vgzKR8DSY1qjEhkK2QVzeR8Ne5VR7MM7D+9u07d2rZXywEY+GcPZF9JAicDoa+jCHrwijM3Q5FKJfyy6ghtapdk67FblAjwxtPFgTfR8TwLj2ZYp1psOnKDyNhExnSrx9qDQdhaS5nSX79vX04R/CjcrHEyE9nWL4E+Ew3HLlOim2PrcUSj6iBPWobMQZfCYI7ig0gs0huXEU/U/FWrcXIw3gMUhPK8goUFhyR/wOdVvJQww0OO+/CRn4ZvISkpFYUi59w4sw1Xgfwe/L0jiLj4ZP6Y2lHTzNTL04mA/B6UK5uPo8fvUaF8fl68jOL2nTA6dajEvfvhOiTEfPncKFdWu6x5+CRCsx367L3GcGVkpYzBxvuWZtvabYtmW+akteAyx9Gf9k02OIfM8YdPx6cYPC6xbY/Etr3x4zZNkNg0MTo/IqssGURdGDpm6/OCJlkcjsxGKzOsTXQ82rH+O8LCYwkLjyE+IYWN23JHnLBIXk8qF89H/YpFuBD8nN8HNWf0gn1ExycxsK3wY+3x62by53Hj6JXHqNVqnO1tKJLXkx5NK1K6UO72UBwyZbtZ43YtsbzkKTWmK2p1CrYe+0n78B3Wris0f1NjuiKS5sXaeTZpcSNQqxKxcVsLiJF/XI0i9TA2bltIT/gDlfwBth77AZDZaXmL8uRNqNUCJSgtfgJqxXPEVpWR2jRAnrQCtSoaG/ddCDn47CGRiJFJJTz6JLktkYg5uNA0lcPW1oqnoZF4+7jwKpN2Wk4Q8ti0Xl96uoLOreZz/NIkjh8KZvanZExOYHZWsXOnKvz0Q3P+mCpwfGZN17Jhq1QOQKFQ0qyJUPQcUMCTTh0qkZ6uoHQpfxo1KIFCoSSggCetWpRDkYk5vPDPbtjZWpHXz426n5aYAJMm7ARgyKB1OX5z/5vh7eVE5QoF6NimIv16GlZlzSnCIj9wIViX5pBZrrlu+cKoVGry5XHlTVQ8bs5C8XVgfi9+XvZPrl2HuR24XZ3t8HRzsGxydRoiiRdiWVFAS9tRI9yERdK8SG0E9QNrl3nYuK0n4+cksaqFrfteRCJ7QK03RwZkdpnvUGpEEi8UH4VMq7XrSmzcd6OS37Hosk+uGEqpwj6UKuxD8YDswxL7TvzEk4cRtKz3J3OWml/TuGz+MaZO2MXHpDS6tV0IwDfdq/H9gHW0aTiLhPgUls0/xjct52vGWFlJmT6vG83rzsDX303j/HRqMY/oqETaNppF8C39kjFDEGWjWvqvSStOn7afceNbf1Z79v+DFhkxr9yIcf3bmL78GP+cuW/W2BKF87Dqj+4W60GpVbGkxf2ASOKFtfN00uJ+ALUcNXJsXFeRGtMdiXUNZJ/CBinRrbD1EIyySvEEsTQQgNSYDoikhbF2no5anUZqTEfE0qJYu8wjLe5HVPI7WLuuIz3+RxA5oVbFYe08BbGsvDCX/LZm+38hjP7TsjVcbfssY//G3KlxsgQvXkQR8Jlr7v+DFv+/GK4Dp+7y58rsiaYZ2DynD4Xy/bsCgP+HHMOo4frP0iHOnXnEzu1BeHk50bdfnX/7cv5X4tjDUJqWML8YWaVWazybmrNXMqFZPVqWDjQ49ufZ+4lPSqVG+QCKFfLGzdkeH08n7DIRJj/EJ/M0LIpDZx7w5EUkr97EWnT9RQO8NEar+4mt5HVwoWuRsqx+GMSyOh24Hf2GFQ+uYiWWEODkRh2fgqx+FERUykf2NOvNknuXuPD2BY38izCwRFXWPLrGzahw5lRvxcSgoyTKBWG9tfW/sei6/n/HvWvPKVU5QK/bU27CLMN1+fozXr6OYf22S5zYOZrew9cx77fObNt7je/61KVNryUsmdGd4eO30axBSUYObMihE/coWsiboFvPad2kLM6fSGwPH0cwZMwWg69z7pC2wPN1eCy/TG7Hb78ab5H1/GUU3w5bb/S4SARlS+Vl/vSuiI0E+vccvMXCFSf5fWI76tQQYmwdei0jJjYp22vMjKVrznD6/COiYwyfB7BhWT8C8md/9z99/jHL153hfZR+9+suHSrTu2uN/1xzkciEJOrOXc3jqaOzHwzEJaRw98kbs7OCOcGGmdqYjb+DM03zFdUbIxGJWFy7HT9dOaR5vqdZb06/eUqaSsn2Jj2Ze0do1lsrTwEGFK8CwNyarXQE9/4PWpSuYlmHqJzALMNVo3IhalQuxOadV3kd8YFZkzvi4ebA9/0bsGLjOYoWykOhAp4UyOdO2ZL+yBVKZi89pqk1VChV9O1iGYemffuK3L/3mg4dK3H/3mtKldZt7xV04zljp+zSPHdytMHfz43UVDnPXwrZEbUa7tx7bdRoZUbw/deEhceyeuN5o2MyJw8yI+RZJDv2ajtYi8UiCgV4IRaJePJU28G679B1bF45gHwmSkO+H7uVuw+0P2Y/X1ekEjGRUQmkpsrZvuc62/dcN9sIWorl54KoWzSAleev0eKTt9RyyUb+6teFZovXc+T7viSkpGEllWAllTBoyz52D+7OuwR9I/vbodPULJSfevNWc2fS97l+raZw8W+t/r1KrSY8KZ4HsZEML10TmVjC0PN7GViiClEpHxl2YS+FnNwBiEr5SPujG9nbrA+PP0TR5fgW6voKHZoyx8kkIjFtDq/H38GZZXV0JaBLj5kPgIONNVf+GMqHjyk0mLoKhRGJn/VDv6FSIfPUWJUqFU2mreV9vOEbZI/a5fm5XT29/ekKJRXHCXperSsWZ3p3fUpKxnUDNC8fyKye+gX5EbEJNP1DSCDcm2v4JhV05hFV62sVT9uWnsjMzYNJSU6jfI0ivHkZjZW1FJmVlMkD17Fozwj61JvBL0t7s2PVWeo0L0OtZqbVjS1eKopArwNPhmHI+MeqVWrUqDm5U3hjmQPsxYr6sG7Jt8QnJBMWHsvRk/d5FKKfRg0P/0Cz5saLYecsOSa8AamYLu2rMKivdjmZmJTK1p1BbN0VpCM3bQqR7xPYfUAodi5RzJfxo1vg7eWEVCLm9PnHzFlyjOpVxuRziQAAIABJREFUDCsdFC2kzd7071WbLh0qY/3pdd9FxtOt/yqNEd+w9RKTDRTHZiCz0Zo8rjUN6whfALlCyfCftvL402c1deYBNizrZ9Z7swS7bz9gSN2q/NysLnffCEZ3aN1quNjZoFbDuZAXtCunbdv2JNJ4Cr19uRK42NmgyEUtK3NQsoiPzs1KLBKxtbG2hGxhLa3Gfx47RxbXFmgcN96H6zwfWqo6Q0tp2fZFXXRjrgdamO5elPSpe/k3c7cYNVoA/VfsIni2eeKb3Rf+bdRoAfx14Tb1ShSkWlHdSorMqiEhb6OznqaH4FeGqQ2PIyynTKSnKShWTns9fgW0N9wXj4XvWPu+tSlc0o8B41oScjd7UQSLDZe/ryu9hq1j4bQubN1zjcG96zD29906Y6yspEwY2YLrwa8okNcddxd7jfESvBHhC1ChbH4i3ycYNFzNmpfh0aMIzp5+SO06gXoeV8Yy6tT+H/XOdXSwYfC3dRn8rfl67heuhCKTSVgyqzvFiupyjRrXL0Hj+qZ7LBpbQubxdubMPz/xx5xDHD/zgFPnHhk1XG27C7riRQt5s2xeTx3SpEwqYeX8XvQavJaw8BhevIomMSkVRwcbg3PlBEqViog4gVfk4+zI3TfvSFMocLSxJk2h4PyPA5GKxXRfu53537TE28nB5A+ytJ9QF2gr+3ok2WPrh+Fob/5nkmGkACp5+VPJK3d16NvP3kTkJ0Pj6+pEt1rlsLOSsffafe6/FvhWKpWayuMXs3tML/KZkPKuMWkZiSnahhX1SxWibomCxCen8iDsHcfvhgIwcOVuxGKRUWP4xAzjExGbYHD//usPACju52XwuDkY03U5ExZ2x93bGYVCiVKpIt8nEqyXr0vuGK7MGcUj24TU7+alwp1+eP/6AMz/TeB0Lf1Te1drWt+yxpxZsWH9eaRSCUOGmRah+xD3EVcX+896rQwc3jHSbA/NUowd2YzjZx6YHBMXL6harF7Ux+iYVQt60bLLIpRKFVNnHmDO77mnLikRixlevzoP375n09Xb1A8siLVUyk+7j3Bi5LcceRBCmzLFCYuNx83elvsRWl2pAu7CkjY5XY6d1ddl8wPYWss4tfnryreYg6fvYiiTLw9/jdTtgt25hrCaqDN5BR8+ppCarqDT3C1cm2G4KHrxkcsao7VyUAdqBBpWqC3z43zUasEY/rrjBL921goZSCViozeaqyFhALSqWJx/bhqWvk5KTefMg2cAfFM9541q3r6OwdnNgdD7wupCIhGz8Jc9/LKkF/s2XqJag+wba/xno4vFivnSs1dN3oTHcvzoPb3j+fyFmES7Hktp020xyZ9Z/wV8MaMFaMh2xnAr2Dzina2tFVUrCcHP67defu5l6WFo3aqU8PHiz/ZNNRnFoJ+H4GRrQ5dKZbC1kvHPqK7IJBJK+XprgvHOtjbcnzxSY7Qu/TRYk1G8Pl5785v+KOfqCIYQGODN5R1j/pNGKwNZjVZmnJisZfSnpBtuCrLw8CVWnRTUL8rky2PUaAGcm6qt990dpMt1a1vJ+Kph/dkbAEzu1JBifsKK6Ok7XQmeAzceasJE7aoIjsmKxxd5laSb7c0c3wI4EjKTQZf+1jzfemkSUpmEIqX8ORIyE4CNZ36mcEk/fpxl3o34P2u4Fi88xrGjd/lz+kFeG9Aw+mGY9k4Sn5BCx17LePr8/de8xFzFEzNVMUFogvB/gMY1i7F+Zs9/+zJMwsPR9GrAWpr9zXJPJgPUu65pjStXe+O1iSX8tbHYzEtOgLuvhFiTrZWMkp/GZY1zZV5iyj414fiuWO5WZZiLHLsYR96upLnPYLaH/YFSraB7/ilciNpBkuIDVd1bc+LdesSIqevVHS8by3u7FQ304crlUGRWUvoPrKd3vHyZfGxdPZDuA4Vuvskp6fT/fgMgeCWbV/TH08Mxp2/PYnxMTufA4dusWH8uR+e/DtfetYwpO/zbeJz4jDPvr1LbozKR4mguRN+gpU89Drw5RZw8nr4FOuFtIwRed4cfJb+9H5VcSzMvZC22EhuGFNLW6a34XWhym5au4FrwS95GJXA/JIKwtx+IjE5ErlCSkpqOva01bi72eLk7ULaYH63ql8Lbw+lfef85waSOn9/hJjZJK4zZtJzhzLYxXHj0gtrFBQ289lVL8vvuUwD8c/MR3Wpp28JlJBJAWMbuDrrPlvO36Fi1lGb/oZuPjb7OyYgnNPINJPxjHKEJUdT3KcKooD30LlyZCu5CfHr+gzOMLlmfIZe3IxGLWVLtG0YF7WFBVd2sbHYZRfgMwyVXCW+0S76J3I07w6Wo3dT27MyBN4tws/KlS76JnHu/DRtJzuJPU6YKbyY5OZ1dO6/R6ZsqemP8fF01QfElq06zc7/g7qakpNOpz3J887gwY0pHCuRzz9E1mIula87o0CG8vZxo1rAUHu4O+Pm44upih42NjG79jXdokWeq3yxdwjwdqq8NtVqNCK20dpoyDR8bIagqE8twkNpzPuoadTyrkKbSLt1TlWnYSQwHzK2tpNSuLGRrO7ewrOHHl0bbi8Np6F2NEUVMe3Urn+3ASizj2wD9bs31SxX6UpdnFp5ERGkMlyxTq7J/bj3WMVyZkeGZZV0qpn2SWjfkJRoqqUpWpOt0LM9MRgh08tKMyQlybLicZZ7sCptJYceKlHSuxdLQodT07Kiz/3Nx+9ZLSpTwM2i0smL4oAaUKObLgSN3uH1XCDRGvIvj+7F/cfDvLxv/yGy0mtQvycQfW1o8h7Oj1sVfMruHiZFfHnEfU+i58G/exSXiYm/LickDEYmguFNhTr2/zM0P9+mZvx134h4x58lqHKXaAubiToVZ+nQLrla6XpFCrWRuyFrEFpI2y/wwn7vzzCO15jZsJTZUcbNcnz4zLK2RzIqs1KPMXCtzEJdsuKPQ03daSkSGR+fjat4Kpaiv4FVHp31k+aMLxKYnM69KB0YF7SZNqaBzgPYGVMkjH6OCdiMRiUiUpzIqaDfjyjTiYJh5tabGkGPDVddLN+A4KnCdwf05xeiRWzSt12fP657NaAEN6hSjQR1B1rh5pwUkp6STkJjKy7CYL+Z1XQ56qtlu2rAkE34wbLRUKtP16uXL5tN4jP826vyygv0/9yHAS58oO7ywVtGgS17992ovtWVYYV0PZULxr1/rmhv4u/qcf/sSePvBMC3BXKTLdVUpZBIJcqWS5EzdwTecFfiLXWqYp8ffubpgzD2s7fmlnJbIuqCqbneoVTW7GtwP8H2JujpjLMV/tlaxYaOSbN54kf4D6uXo/EM7R1K/laC8ePLsQwb0rp2LV6fFpWvPNNuD+hrnjR07bZoKUbOqltyqVKr+dVUMQ0brfwKUahWT7y/mYcIzCtr78zRJ8L731xI4ctdi7/HHw5XIxFL8bL15+fENEpGYPTW1XaLPvA/iQcIzTry7TO8Cbejor9txfGzwXEISX1LA3o/XyW+p4VEeNytnvgRUWVwuQ2x2UyjgqduarG3lEuy6qs3Sq1Rqtl4UpHN61NKqUFQtko+g0DCOB4fQpGxRroRos95tTGQnvxb+s4arVevytGqdczmP8EwFufnzfrkYl7urNob3KiwGDwO6T4eP32PmwiPZzuXh7kB0TBKtuixi5YJeGsrH18C7uERm7dMmFn7YoNXNmtdXaGTSf9lOrj8Np5C3O2/jEkhOk7N3bG8K5XEnIjaBZtPWcnvOSCRirdHNWOplHO9cowwn7oYiFomISUymdaUS/NFd6B2YJldQedxiCuVxRyYR8y5Ov4woO5yKvML9+FCNocqKKm6ldY49S3rND3dm6oyp71WV+l5VOfFOX3xRqVbyJPGFzhwdLo2ktW89i6/VHPi76xrE5uUNF62bi87Vy2gMl1otUBzSPnllNpnoQD1rlycoNIwdV+7RpGxRjgeHao6ZU0L3pfGfpUNkh8xLNEOYu+S4ZrtKxS/XD69UpkD63n9uGRwzb+lxg/uz4vtBDQEhQzrsx60mxx47ZdqDsxR5XByZ17eVxkhlbGc8B7j+NJyivh7sHdebc799R4/a5fl+7X6LXmfX1Xucnfodp38dzI9t63DwxkPNsZUngvBwtGfv2N7sGNNTJ31vLoo5FUSEiF3h5n3m3jbCzUGuMtzjMytefnyDKIvaSqBjAYuu8d9EYR93TZA+4kM8D8MN03DK5heqRzKOP480rsyRwdi3BPMPXWTYWmPNZLJHrnlcrxLiyO/kwvxblxhdoabBMbEfPtK+51KjcxiiARgrpRn/2x7NtkwqIX8+d1BDdGyShoEO4OXpqFGm+BKoUkFrFC9cCaXFNwtoVK8E8QkphDyNJOJdHCCoOmzfc93YNADUqxVIkwYlOX76AQmJKZrPw8pKilyu0AvUNm2oX51w4Uook6YZV9R4+uK93ufcvlUFRg0xXaHw14XblC3gw+YRQkzCWiZlXPt6/HXhtsnzsmLj8C5kxKt7163InP3aovY1J68R9KeWOb5icAfK/GBZMDqfnQ/7ai1mUegW2l4cTn47X/oGtKOCq7C8uR57n7lPNiARianlUQF7qaDOqjZTM/Plxwj87HQNagH7r5cFjohNwNct53QQmURCuyol2XnlLhcevWTvpxIeL2fdlYLrJ636xJQ0jt8N5daLN4DA88qKf8P/ytbjmnTpBINP7mfEmX9QA8NPH+RF/AeGnDrAyLOHuBwRxpBTB/j2+G6OvgzhRuQbOv2zjcsRYV/0wr09tf88uULJ0+fvefrivcZoOdhbc2LvD+zcMOSLXgfAmX9+0jDjPyans//wHc5efELEuzg83Bw4d2gsQ/vXN6sRyMQxLdm8cgD1a2s7Sqen6xutZg1L8TXxICyS0vkM68Vnl3jIjFL5THtRhn4YOcGIIj3ZX2sJldxKMvWBlq0/7eEKRCIRf1WbxZDCXanrVcmiefPb+xKRokt0fpNiPnk4J+hUTctr6jh382fP982n+a4/Cyc1XfA0+9YzzgI4difE4LVkYNaBc0QnfqTp9LUoVSpeRcfxLi6RSX8fo8sCYeVQYdwi3sYlEpXwUXOeSCTi7qu3HA8O0ZszO2TrcanUamRiMYnpaay8e40lDVrTbM8GGucvzJiKtfj22G5GlK/OnqcPaVagKA9i3tO9WFkmXDxODV/dCnU3V3ujHpSl2LEhd1qZdWhdgQ6tc84f+rb8eNbfnsHJfWNYNWkHg6YZL1nYttZ0U8wM5PN3o3n5Avz6cxuLr6d29SK59hlnRrkAHw5cN1zDJhaLNHGtlHQFDjY5756cJldgLcv5QuDYu4vIxDIaeAkdklKV+jyhVKXAQVSjZvTtmXrHTaGwQz5UahWvkiPIb+dLouIjwXFPCLDP3eLszJjyTSPcHOxYdTKIpNR0+izZwYJvW5tkyavVsPTYZYY305eTKu4vcKiuP9MWM3erqc/pKpPfh7uv3nLmvjYBZahGcUTzmpoKgV1X79G4TBH6r9hFQkqaRsmid90K+Ljo0i2UKhX7bjxkcseGpt6+QVgU4yrsIsQD/B2ddfgpMrGEFIWQXv1c3kpuoeyo+ZrHl0TRCgU026aMFsCH9/Ff9Fqyw5nI1XxIF1z+VU9NS7JkRd0Shbgf9o6X7z8YPO5ib4NYJNLhB72Jtez9OtnaaIp4Qb8sxRw8TnjBwpDN9L02gRG3pnPo7TmsxVpDWtYlEJVaxcR7C+l3bRId/RuT1063u/XWsEMsChXELs9H3WTtiz0Exz3RHC/ikJ+Rt2Yw7Obv9AkaT3t/08vs3MB3Tapqtm+9eEOL6euJMECVeB+fxNSdJ2kybQ3HsvFkPiSlaLalBrLYGXEuuVIgR9tbW1HAUz/brMl8qgUvatSGg6wc2IG5vbR0maxxQYDbLyKMFnRnh2xvbdNrNdHbt6axliG8vqnA0ZhTR+h4khHfytj/udhz7wEdSluuNBG8YDRz959n05mbuXIdGUiIScLR1d5g67S5Q9cxZlk/Xj4Mx9rOmuXjtvHb9hFc/ucWr568pXzd4rh6OfPw2jPO7gqi7eCG+GXS8jI094z+Kxm/djAA2+Ye4mnwK37ZNJQZ/VeSlpxOkfIFyFfUh3uXQ/TmAzUHwv9EqZbTPu9kniYGUdpFqPHMY2NZ6Yi3iwN1ShSkzZ8bKOjtxru4RJLT5GwbLXDsrGVS1gztRO9F2wn09ST0bTQeTpZVTZycMpAqPy9m9YlrKJQqo4br/fsEeny7EoVCRYH8Hqxf1R9lyi4ktp0YWbQXI4sa71bzS/5kJIFDEcu0Kf0e+VvpjPnG9T4yx3FGGfNzyv1k0fvKDcgkEs78Ooj6vwrVF0mpaTSdttbkOQW8XE0ezw49a5dn83ltwqljtdIY8ksWHb5EzcD8iEQiOlUtzfLjV3F1sKXfCq3Q54ZzN+hWqywSkRjrT2GVigX9WNKvHQNW7GLNd50surb/LB0iA/POX86R4TKF8Jh4xm48RMibaDyc7Ng0qitezg7UGLeUCoX8WDKoHT3nb+Peq3cELxhN3MdU1p+6zug2tYV4TjZOpYOLPTafpJW3zDyAi6cT6SnpSDMpRKQmp2UxMhicOyUpjS0zD9BzXBvSU9IJKOGv2a9WqenxSdvr+sl7evMFxeyijf94zXM/u+zlQgCjTPVF/U0vXSsV8jd6rq+bk8FjmffZWEnNYsk/DnmraSb68pXWw1OlXUJsVRZl6lEktp1QKUJQJExHaj8QsVVZ0uN+QK0IQ2LTmtSoxsgchiG2qoQ8cTaoEpE5TUSeOBO1Igwcx2V7HV8bHo723Js7mrFbDnPibqhRiRqpREzFAD+WDjDclBagVF5vjR5YXnfDsdesSYAMKZ6sODVZ6N14dIIgd3VmihAS+WdcX82Y2zNH6pwzuqW2ONtSowUI9WcmHnpQqdXqcvOWaJ4HzlygXnnlmuZ54Rnz1Gq1Wq1UqdQ/HTyqLjl7kbrO0tXqkfsOacaEx8WrC8+Yp1ap1er26/9Sl5q9SN1q7Wa1QqXSjPnhwGF14MwF6sIz5uk8LMGcfefUZUbqnxMVn6TZliuUmjEzdp9Wlx0lbJcZOU89fNU+tVqtVm89d1v9/F2MRa/9NXDn/CO1Qq5U/9B0hpERKvX+19PVu8N+VScr4tWrQvur972epk6Sx6pXhvZV3/tw/Kteb27i5OkH6mZt5qoj3sap1Wq1WpG8U61Wq9VK+RO1Inlvpu0Dmbb3qNPjflYr0x+o02J6C+d93KFWJO/+tL1dMyYzIl5GGbyG2Mh49eReyy2+9piYARafYylSUo6Z9dqpqZe++LV8BozaJot5XCIgKU0b8FSqVNyJ0FcwPfP0OXvvP8TXyZHY5BQOPXrC5Ze6mcYpx07xJiEBB2srHr+PYvwhLfcmTaGkkr8vNlIpTQOLaB65gcxLmMxr+2J+XprsnaOtNfVLFyIlXU7o22jyf6bb/SWwZ+lx/ui7nA7D9JfzAkS08R9Ph7xTsJU4MbDwGtr6T8Re6sqgwusp5dLYyHn/fTSsX4Ij+3/AJ48+Y11sVQl5wnS9/cqU/aiUuuqaEtvWKFNPkx4/FrFNU4Nj9q05m6vX/jVgY2PsO6GLxAQtNeZghHEajSkkK5OzH5TL+OylYoCbKydCnhGRkIiTtTXV8wsSFg2LFCL0Z63b/+Ddezpv/psHP2kLnsUiEUEjtNnBIn/OZ1YrgUW9pH0rboS/YdT+wyxprxuD+FyoVGrGbT7MzafhOjVbrSoVZ9oOQfajTZUStK5cnO0Xgzly6zGTu3z5AKylmPqFi8f/J0FiKyw3xFIhdidzmiAc+PRcLC2KldsGzXgrt43ChsgGK9clmfZrx2RA/YnusXHmP/QZ14qp367CxcOReu21VIrLR4IpU6MIC37cSouetahQt5jePBmQpwcDEB3VHifnSVhZVSQ2diAODt+hUkYilz9CTSpOThMBiHxXEe88N4h8VxXvPNdQyJ8gleky6GNjeuPmvknzPCV5N7Z2HVGr5YhEMlSqeMRiZ+TpwajV6cREd8HDcy9KZYTmnKdJocx6/Adt/NpzM/Y68fI4annW5Ur0ReLl8fxUbAIbXqzhfvxd5pZbrPe+Dr09QAuf1qx5vpy2vh3Z+2YnUrGUmh51uBJ9ifvxdynrUp7eBT6/V0KODJejtRC/eRodQ6cyJZl99iIbb9zGz9mJbuW16+B1126yPfg+7xITSZMrUGYhI42uY1nnn9xC+R8WcHveKE3pQkbmUSoR07JSMW48Dadr7XLIJBJ2X7mvY9z+D//7kJqckSTI9P0VaZvA/DXvCC4eDjg429FhUANO77lh0nDJrIRiZrHEA7FIIH4q5A+0+1SeKBRPSU09hY1NQ1SqOECpOU+lNt4sIytEIhkKxTOk0kKa1xaJrBBLBIUHtToVUAFiCtoXpo5nPba82kBV9+pUcavO3fg75LHxpXNeIQmTqkqhkIN+05hJ98YyrfQsjr07xMCCQ/ntwSTKulSgrV8HFofOQyqWUsihMO39c6cHZY4MV8k8XsiVSm6/eUsZnzz4OjkSHPGWpLQ0GlQXJGjOPH3OjNPnqVcogMZFhA9t5VVd5riDVc75Pp8LY/VWxfy9CImIolJhIQj+8n2sTu3d10B0dCKnzj5iz76bxMQmkT+fOwEFPBnYry7eXl9PRO/CpRBu3XnFpcuhxMQm4eJsh6urPbVqFKF7l2pmS13L5UqWrTrN8+fvefo8CpVKhZ+vK3n93WjTshzly1kuNPm5OHn6If8cucPTZ+9JSUnH3c2BypUCKFbUh9YtdTlNMe/iCTp5n48Jqcz4bj0DfmnH9sXHuXbqAWKJmFvnHlGwpPB9KVG5IAkfPhp6SYOQyooSHdUWqVQ/y2tlVZ7YmF7IZJYVNX/48D0KeSipqadwcZ1FfNw4QIyziz5nzda2NVHvW+DpdVSHyhSR8oboNEHxNGO/CBFylZwRRcbozTOq6E+kKlPJY+MLgLu1h858xs7LKUTqrJRsXRg8eOjRE+xkMpZeDmJX726su3aTGafP42Btxe3Rw/jn4RNGHzjMk3GjNBcfEhVDy7WbCP15NG/iE6i3fC2Px+oW5Bb5c77O8jJjqXhx2ECL3pRCqeL4nRB2X7nHjafh/NK5EX7uTlT/pNVdbewSGpcrQqpcwangpyhVKoIXCK+bnCan9oRl3Jw7Umfs758KgXMb9ZsKXyZ/fzc2rx3IoGEbCDUi4yyTSTj+j35Xox59VxLxNo68/m5sWmv8s0pJSadFO8G7rFMrkKm/GM46Rb5PoGuv5WZd/+mj4wymyDPQZ8AawgxIb2eFn68rW9YbJ+g2bzuP1FR9z7dalULM+N28rNTd++GMHPOXWWPXLP+WQgUt62RzZs8NTuy4yvS/DTe8+DegUDwnIX4qapS4ua1AJNIXATAXByP2UtSxGEUciiIWme6hkBVPEh9RxKEoc57MYGyxSeaeZvSblSOPq0XxQHpt3UlwhKBT3aNCWWafvagJ2vs5C17B3bfvKOfrw9937jL1+BmLX6e4lyeRiUn8feceXcuZ31VEKhHTomIxWlQ07K5fnWX4i3X1+D3CQt5pjFbmsXevhFKmeu4kBwwhPDyWib/uJvRpJMUCfahRrTA1qxdBpVJz5Phdgq49p2N7y8pTcooMo+Xh4UjHdhXp1L4SUqmEDx8+8vxlFJv+uszde6+RSiUmjdaCJcc1RmvwgHpUrVyQgAJCI4abt1/y+PFbNmy5CIhYssC0yuiS+T15+SqasNcxhL2O5ex54zLCxlCmlJbdXqK4L/361KZi+QKAUEf70/jtPH8heBkDhqznzDHLKBH1O1Sifoev8z8yF1JpQdzcN+bKXK199RVezUWgo0DFyTBak1YeRqVWM/07y0U3IYeGSwQEhYXj5SBYb2uplK7lSnPksVAlXt7Ph/s/fk+7DVuJTExiRovGPBo7kiJ/WsZit7eyYlz9Omy6cZvfT5yhXqEAlnbQ9iRcu/YcH5PTSUhIIa+/Gy1alGX+gqPkyeNCZGQ8/b6tw5Ytl/l/7Z13WBTX14DfhV1WehMUQUVUrKhBscSu0RgLookaW2KLRg3R2KNJ1MRubBgVY9eIUSOxp2jsJXaxxAbSBcEC0mF35/tjZAu7wIIaze/b93l4mJ25jWXmzL3nnlKmjIzJk4v/gkKW/k6DFqLSc+bgHzGXmmEhl9H7s458PWAVDZp7M2PjCH4POcORXy9Sr2k1Bk7sQuiPRzi1/yqzQ0azIHATz55m8P2vY5FIJEzpFUSdxlUZOLELCz7bRMazLGZsHGHQgPXM2XBCf/4MR0ddw83Ake8Q+OpdLgG4c1eTeXvnVt0AgI6O1jR0tFY/7MW1s2ef6ID9zVR/2rbWtSFr+JYnDd/ypH/fZoaq61HVy1VnBlQawQUUKoycHK1ZFzyEvDwlHbuKAQRv30mgZg3D/pkmXow/zt3Gt0bp3aRKvauovaQDmN6xHdM7ahIDyKVSfhv2kcE67vZ23JvyBRmKp1ibOepdz2dV+BBGNlnPsCaGHUDbtquNZRkZy384pHP+6tVo1q8T0z716tWY2rUrGPU3BQxtQ9Qd0bTj/j/xrD35NVM//AHPmm44lLVl5mZxB/To7oss3DWGL/uIu1EWchmL945T19t0bibRdxKwKCNj7o5Apn64grtXoxm/dCDm0sL1ZWXKyPSE1r/NkxLoZ4xtx8P9vxOUUDuNXHjEQ5PgekN5bZbzBx8sw1wi5V230eyOm0eekE2vitPZHTePDGUq/SvPw60YtxRbmzJYWorRBNIzcoiJEZcl69cNY+/eK/j7v4VMVjrFunf9SsgspDg8zxSUm52HoBKQmElQ5Iq+W99tFadBdbWil3rXFx3LszJysCgjQ1AJfLd1pFqXl9+GIdYFv/g28YtS01vjt5eWlo2tbekyZWu3M2vePjatHVZE6TeT+IQU9XHTYUuxlMvwdHPiVtRDlCoV7RpWp27AsecSAAAYLklEQVRVNwZ2EpeHrUcu19uBnjGsE13eFpXrhy/cZWrwfs6vG6dTpn3gSnq3b8CIAHGXPT45lYDJuu48Egl69fyGLCZk5kD6TddEjGhZ34vFY0TdZefxPzK2d2umrT6gU8/V0ZYDiz5RtzG+bxsWbTsGQKemtfj9b9F/cPLA9nzQtn6hYxrTpzUD3tVMKvyGLGb2iC56/f22ZARl7a2JTnzKyIU71eevRyTQebzowtS7XQMGdSk+t0Q+r0Vw3Ug9gpPcnTp2bQhLEY1OZZIy5KgysZY6oqLwtO7auLiIQmXObM0Wa8OGngD4+4vRU6tXL69XD2BbeBv6Vjumc67d+37q42k/DtX5vS1MY9CYP7uSSsW3s2dNN716NbWcr40VnRXcig9786pxdLRGIpEgCAL+HywDIHDUO/TsXrLkJ46O1ixb1J8x47cSE/uYtu/Ox8PDieCgj7C2/m/khVQpxb2p/advIiBwdMVo9TW/IYuZN6qbWsc3dM7PuJW1Z/M3/bDQim7hN2QxnZrWxNzMjHf8vPlyleiUrL3j9iwjWy20AAImr2PHrI+pUkETAXfY3J/pOWU9ofN0X24z1v3OhfW6Ak2baasP6FwfH7SHE1cjdMrcjEzkwvpx+A1ZTIWydlxYP44Lt2KYsnK/WnAZGpPfkMWEHg3TGZOh/j78ehOHg0ZRubwjBxcNV9f1qerG6smly8T+WiKg1rVvx+OcWC4+3Ud9h44IqBBQka3MIE+VjbW5IxmKFBKy73It5VDxDZaGNySKxZvIkd8n4awVgnr5ysO0fXc+A4f8yPZfzhvdTr26HsyaocmZFxf3hK49l9L23fls/+U86eklj/7wMrh5K56A3kG0fXe+wZ+C5OYpkZrr76JpJ6K4Fv6ApWN76AgtAFsrOat3n1V/rletAtOCNTOS9fvP4aiV4SnpqRiuWltAAIz7sA2xSSkUZMs3RW9qdH5b15SiWwvR7/fJM421e+Pa4m67pVxGG19x9eDh4sCzjOwixwTojclQf6nphjMNvQivbanYpYJGn9XDY6r6uHOFserjkdXWv7L++1Yt+S7n6ybuSSoeTq8mKUNBtqz/hF79V5KRoREucfFPCV5zlIyMHIZ8bFzykebNqvPxgOZs+um0zvngNUfZEnKG7VtG/qszsK9nhnLqTMlCDbes78XczYfVM6X8h15ewI7N2d5Kr66zvTWPUjQGowGtfJi3+bD68/5TN+nSXBNEIDlF1A36DVls1NiKi/9e1t6wzlTbDMpCS6+nfVyaMRXW38vmjY8O8f+N3Zdu4mpnw9pjF/D3rUVAwzrce/gY2zIW/BZ2h2FtGpd6spiTa1xcdRCzge8PFV8il69EM+XrneTlibq9LSFn2BJyhk+GtKZfn6bFtjVoYAsGDWyBIMCseXs5ckzUoWRk5NC151Kj23lRevRero6QK5WaE7SoH7Vq6m/cFJx1uTjaMPXjd2g+fBkqQcCrgjNHfhitV+9RSgZuBbJsP0rJoKyDZvbarUUdvl3/h/pzbFIKY3q3Un92shWFX1HLv5JgKM5WQQzFytKmJGMypr+XwSvtZcs98Wa8mLyM3VG92B7RgWtP1qqv74rsxtXHwTp1YtOPs+VeU7KUukaLF5KXsC2iLb9EduVgzCAeZP6t19+F5CXsi+nP1vAW6jIqQfOw3k0NZcu9puqfwribGkpoZHe2hrckNLI7cRknda7viuxGel4CSiGH/TEDCAlvzaVHQWQr9afypeHt6pWp4eaC1Ezz9itvb0u1cs4vtMJNSipdjj7ftyrz5/4JHDowkTGjNY7Za9YfR1lIaBVDSCTw9Zf+HP1jMmNGd1DPtNasP07fj4KLqf1iZGblqoWWmZmEQwcmGBRahTFn02HOrhnLubVfsO3bj7C10p0lNqvryZgloTovB0GA9KwcPvHXvde8K7mw+tcznL4WiY2lbjv5gs/QsrAkIbJfJq9qTIbaMxajZ1xn4rri47qQR5kn8bDtxZn4btRwnkp5684cjW5MHZe5uFrph2ANjQzAx2kQ1e39yVE+I1tZeLYQwwjsiuyOnUUlelU5SLbyCSm594lOP0IFK80NsSvSHzuLSrztOg1HuTcPMs/qlfG274m3vahzKUpwxaafoIPHD1hL3UjMushf8WPxr7wNewtNYox9Mf0QBAUBnrtQCUp+jerBP09DGFhdX6CWlFyFksldxRyNeUol1cuJuoUWNTwNls8XAGnF6BLyZzqlRSo1I8DfF1vbMsyatw+AnaEX+LBXk2Jq6hPg70uAv696dpP48NVGhz10WJMVaXApcmyaSSQ6S6WK5RxZM6U3zs+XRkHjetI+cCUtPg3SqTd5YHtkUt3lV/Ck3rQPXIGddRlWTdL33Tu4eDidx/2od75D4xqlNth8UV72mGpXKc8/kYnq73RM71YM6GS88a7RMy4vh5HYWtSiisNwkrOOF1/hOXJzO6rbB2BvUQVXy/pUsmlrdF2AHOUzMhVJ+DgNRmpmiY3MHQ/rljRznapTLr+Mc5namEmkBssYS3v3pdjKKmImkaoFX0KmbpZphSqLpuWmYSV1xUbmhof1y0k4ayGVYqF1o8vMDR9rY2MjmiykphYdXqSkup3C0DZATc94PQr2kpKuJdTt7Epm4pGdq8C1QL7M2IdP+ejbEB0l9665gxnStQmWchkVyznyfpt66l05bWyt5AgCpKZnU7OyvluRi4MN80Z1pY1vNSyk5ni6OdGygReTBrTTK/tvYWhM0wZ1KPWYgif1Yli3psgtpDjZWVHVvWyJ6hs141IJOUjNbVEJ4k3qZt2Ne0++17pe+Ju+c6WNJRpQQeTm9jRxncyhuNHUduxLw7JjDJbLLyM3t+cd9+U4yUsWmrgoHOXVyVToZnbxsn0PL1tN+vFqdl2JyzhJtvIJZcxLb3DZuX7JE352bF+HK1ejEQRxeWJoOZmToyD+geF48doUVl+bQ1pZuWsXstwypp1/k2pVNQLi7N8R+HfRTzaclZXL6LE/6Z1v+WmQQf2O35DFBO04wYxh4n3gYGPJyJ7NGdlTNz1fp90bCE99jKedI5l5eZzp/alOe932bqaGU1m+b6HJUt2+kTftGxV9Dxenc8o3Pfjl3g0+qC5mhWrjW02nnvbxiVWB6mO352YR/eeEsHZ8Lyas3seKz3vSvpE378/YxNqJfQj4ZgNtfKtxJzaZVfvOcHj5KG7HJLH37E1qVSrH0O938ENgDzq1rE1MUgpymTkyqTmBy3ezdWo/fjl7nbmju3I/4Qk1PUuWQ9MowWUmkXMjaRJ1XOZiI6uKhdQFJ8tmxKRuwl5eH6EIuytJCdVoKvQVyN72PfC278Hph9+ql3jt3ZdRwaqJXpnErEv8ETcChSpLr4wxZCqS2BXpj7lEho3MHVuZB+l5D/TKWcsMf9HG5ud7mXTq6MP8RQcBaNdpPo0aVmHW9B7I5TJu3X7A2XMRbAk5g61NGZQqgczMwmdJX0wKIexaLO92qEtAN18qVXLGytICQYBTZ+5y5NgtHXebt5vqhzjRbsfJ0Zqhg1rRpnVNrCzFaCDJj9JYufoIx09qElB8PMBwLk4Q/RozMnJISk4jKekZD7V0dXfuJbJo2R9YW1ng6mKHi4stNtZyvYgTTRpXVR//fT6Cw0f+4Z12mq37jVtOqXc+HR2teVrAg+Dnw1f48B1R2GVk5TJh+R5kUnM+NsJo8vbTZKIGF555aZ//R4Veexl8f/mEWnCVFAuZOebmZurlbp5CSWTiE9qOF/1ZdxwPo3W9qsz8+F3srcvQpFYl9p69SXX3sni5OVHPy43vdx7DxtKCEUt+IT0rl4dPNRnKW/p40dLHi6NXI2jboKrBMRjCaB1Xm8q6uhsfl4Xq43c8bxjdoTbmEjlZCl2dV3yGftrzfJqX+4bm5b4hU5HMrshuBvVJ5S0b0rfqUXUZP5fx1HQwLgZQWl48u6Pep4nrZLztNQ6lP0e8eUEECxK0qD+fP498cPFSJJ38dbeuzcwk7N01hp93nGP1umPFtvfHoRv8cajw/2vjRl7M+Kp7se08eZrBwiW/sXDJb4WWObj7CywtCw9xNGHK9kKvPX2awf6DV/XOG/JJnDWjJ1/NEBMJz56/j9nz9+lct7aW8903PVCqBCZ+qenz7JqxTFi+h+U7TqBQqqjgYk+f9g0M6qfySchIY/zJg4Q9El3IPDdoIo1qC7H885MbtmJkPX29a/OdwRzsPohlV07z052rNClfkS0dNUabO+9dZ9HlkzzOzqKWkwuz3+6Ij7NodD32xH72R95GoVLp9H/no3HIzY179B88ekZWTh5LR4n/a5nUnMCAFgzupDHWvhObrKfHA92MXx0mrebSKtEEyvfTF8+89VrNIWxkFUjM0s3CE51+ROezgEpv1mYldSm27fwyCpXxvnd5z8vKze0KnDc+cNvrwqeuBw3f8uTSlSiD15csFAPBFbeT1q9PU8KuxRZZxsPdkfmzi34Z5Js3FNfWV1O6FSm0XibNm1XHw8OJuDjDG0RrVg7Grby92uwjH6m5GUvHljwygr1cTit3T36Lust7noaXfSPrNWV3xE2D1wAeZqbTfd8WYtNS8HZ04WR8lPqaQqVi4qnfqObgjKuVDdceJfJrxD9qwZWjVNDI1YOryQ9oW9FLXc9cYvwqKDsvj7bjV2Ell/HnghFYyWVsPnSR91v5cOjSXTo3Ni4Bi5OtNXkKJffiHxVf2AhKFY/LWLbca1rkLptKyGNruK5Su6PHSv6MG8UHXgewNHcmOv0IJxL0lewNnD/Fx2mQTl/FlTmeMIVcVQYZeYmk5cVib1EFCzMbrKSutHKbDcCtlG1cTF6GhZktSiEXpZBDHUcx3ZVvWdF2Z1dkN6radaGBsybsdGz6cY4lTFaP+7/Eoht/Mb6u/o5wl0Mr2d9hFBLgftojuv+1Gie5FcffE9+c+eeuB0z7l0f8evkp6igDPI3fZPLcsKDIpeJnx/ZSx8nV4IzLc8MCwj+egNRAMMttd8M4EnufNe0LF6oXHsYReGwvf/cZVWiZQuveicWvRkX152WhJxnT8+VsQhlJ4VrSojJp/BtpPBKSeggx8XWEZ+mb/o3u/mdpvni10HLJjzrnzkXFCqpCymvz/fXDRvWxJ/qa0OrgYr1zL8qaFX8J4XcTC71+7ew94ZO2c4ptp2CZy0/Chc8vrRY+Ob9cEARBGH1xlRASdUwQBEGYFrZZEARBuJESLdxIiRamhm0SZlwPEVSCSphxPUSYeGW9oHyedWpb9HFhxHkxs9WumNPCyntixqo9cX8LgReDhTXhYkadwIvBwuiL+ll/Kq+fX+S4Rx/dI6wMO2vwWnF1q25cKNTavFgYd2K/wf/1+cRYocnPK4psoyh6fbtZaPpZkDBowc+lbuMFeHlZfopi4gdBxEaI0TvXztpjZC1z3Modwtqy5Onm/1dRqow36szn1BeGo4eWZGPvbFIkvnvnAdDq4BL89pUsPX1BkpOecfq4qIBPepjKyWO31cdPHovL7+jIRzruJ4UhNeCKUlyZ2Td3sMx3OD/6fcb1lCiWNxzBxSfh/JMao1d3Rt1+JGWnEJWRxFd1+rCgwWC1jkZuJiPYT5xt96yocYb+M/EKyxoO53pqFACfeXflh4af6rX9Kvm9+2BUgsCu8Jt02v3yXeR2fD2Qs8sD2TCxz0tv+0V4aYLrSdIzHMra4la5LHfDYrh3XdRtDG83lyOhF1EpVcwP3Mw3gzRGbNHxVcnOOUNcgh8qVQqCkEdsQj2i4z1RKKIAiEtsRp7iPtHxlVEqH/L46SQSk3uSnXOO2ASNjUxcQkMSkwPIzb2mrpeQ5K+uV5CB3Zepj2/diAPguyk7uXUjrkTW4IUxdGsojb9fRb+NO9TnDtwUH+JGC1Zy+E4EKkGg5dI1tA1ay9KjZ8hRKKg/dzk+c4KoPWspSkHgVmIyUY+f0nfjdtoGiV4HYfGJem0X5EFqGkO3hhY7pnzupD4kKTuNy/5TADjRufjErMVx5UIkzVvXICoymWULDnL1UhRhl6NZtuAg0yfvIOxyNHExj/V0StokxT9l2oBgkrT0Uuvn7mOA33Q+bjZTXWaA33SdMqC7w2v2XK8jPHfpf5qbjkLQ9Cszk+JoYUOmIgcJEk1aeaC+g8bwWBuFSokgCCx6S4wI4m3rzrO8fzdVVzUHZ25/NI6owZNo51GVlr+sfmV93Tofznd9g4ov+JyQecZOXkrOS1POO7naUba8A1KpuTqWFYCruyPtnoezbdSmFu21QsdUdo8g5dlSHOxEn7jo+CpUdo8EIDahPhXdwlAoolAqH1DZPRqAnNyrVCj3J/GJLXCynwFAfGJzPNxEJX/Mg1pUqnALhSIKDw+NV35BtF/yVs/dNyKeR/80k0iKjJtlDOv6ixb6V+IeIGB45rP98nV2De2Lq63GuHHTRx/g41ZOJxZ/Ylo62wZp3nj13ctzfsLIItuuYG9LUC/dtG5FjWl3TBjdKhrOVPzCCGD5/Duu7eOBpZUcRycbavt4MH3yDnVWakO4ujsybfVgFn6uiTl18sBVlu0fh3M5e3WZny7M5IM6U3Tq7mqh0Y3WsRfjpC1+S4wLtqLRSJ3zALPqDVQfP0vPxu65Ya+XjW5opJHVRHur/FmY9tvfTmbFyFk7WPVV6cK1lISQO1fpWqUWdhbid5upyMNWputCVNvJlcTMdELuhNGvhr4xrCGG1p/EujBxF3JgjS9YcvQbylYQA37evSw+n9H/xPPjlyHM2j2BrwK+p9+U7tRuKoY2v3PxPjX9jDdtKA0vdak4YoZGSThry6c6vwHav++nzlFnCEHLkFUm1cR3t7DQGAuamTk8/+0EEhmCkEOeIhJByEEQcqjopr81boif9moMWSt7iTuQG0MDqVXXA4mZ5IWEFsDwbbt5mCYuh1QFln7ZCtFWrW/DeiSnZ1Bn9jJWny48XEy9CroPTt+N2wttu7RjmuzTkRW3jjPo5BZDVUtFxy7ig+Lp5cJX3/UkcHwnZDJzvvquJxOmdUMmM2fO4r4sCOpP1erGGyBuOPU1T5Ke0c3rxbPGjF0QyoWbMWRk5bL32HVOX70v9rHnHJdvxSII8M998YV2LyaZ6SsPMmHxbg6cuMmFmzGMmr2T3DyFuh7oR40ojE/++hXPDQvYH3mb+ZdO4LlhgY7ZQnH4lC3PBwe24rVxITU2L0YpCBzsPkinjLXMgql+bdj4zyW8Ny9ixJHik76uvjCHtKfPd9IFQZ2GDcDbV5x9ZqZnqd/+gkrATKtMUc/4y+JfN4coSiCYSTQhMfIUxrmnSCRyZNIqSCRvTnC6HIWCQU19KWdrw+n70WrBk5krRsfMU2qWKHXcyrEgoBPT9v3JiOaNkZqZoRQECtPo5CgUXIl9oNd2acekzfxGAfQ6Ji5Hmx9YRFpeDr5757G48fv8GX+LvbHXUKhUtPltKcfeG8vUS3vZG3uNmVcPsKrZhzR28TT+S3pBqvtUZMLS/i/cToemNfCrU4n7cY8xNzfn1v2HNKtXhYrlHfGtJe6o1fYSv6sTlyL4oEMDtSDzq1OJ8zeikUo19QyFmSlsR7Go3cDi6gL4OJfnzx7FR80dXrcxw+saF11UUAlMfHcOUpk5C/+cxtiVQ/mubxASMwnD5nyo23/LWkzsOIdGHetRq3E1JnSYLS6dD3/F/MGrCL8aRcztB0zZ+PITJrxScwhj0F4qgpLYBw1QCWlUKPcXMmlVouLcqOQerhZqicm9Ke+yg4Qkf+xsh2NtKS6H4hOboxLSkFs0xtV5LVFxbnh6JLzq4RdKxxUbeJCaxqaB79PA3Q1zMzOGhoRy5+EjPBzsGfZ2I1Kzsvn2tyM0rOTOlx1bU91FNKNovWwNqVnZXJ0SyK3EZCo7OWBlIVO3fSoimk+379Fpu9miYJ5kZlHezoaFAe9x6HY42y5dQ2Zuhq1czomxnxgc05tO8PRQDvx0GkWeEufy9vx0fiZDW83iUWIqdf28mL11JMHTQzm+9zIpj9NxLm/P5/P60LidcbkID529Q4dmNYiIe8Syn47jXdmFkb1bEBH7iMPn7jKqTwtW7TiFBAn9uzZi/vrDWMplNKjhTpdWdVix/SRv16/C6Sv3Gdm7BQ+fpDFq9k42ftsfBzvL4gdgoigKneW8dsFlwoQJE4VQqOB681+5JkyYMFGA4nRcb5B/vwkTJkyImGZcJkyY+M9hElwmTJj4z2ESXCZMmPjPYRJcJkyY+M9hElwmTJj4z2ESXCZMmPjP8X/txcPTRcWh+wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "wordcloud = WordCloud(width = 500, height = 500, \n",
    "                background_color ='white', \n",
    "                min_font_size = 8).generate(down_headline) \n",
    "# plot the WordCloud image                        \n",
    "plt.imshow(wordcloud) \n",
    "plt.axis(\"off\") \n",
    "plt.tight_layout(pad = 0) \n",
    "  \n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.drop(columns=['Date','Headlines'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3078, 996)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "label = data.pop('Label')\n",
    "data['Movement'] = label\n",
    "data['Movement'] = data['Movement'].apply(lambda x: 0 if x=='Down' else 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>able</th>\n",
       "      <th>abortion</th>\n",
       "      <th>abuse</th>\n",
       "      <th>access</th>\n",
       "      <th>according</th>\n",
       "      <th>accounts</th>\n",
       "      <th>accused</th>\n",
       "      <th>accuses</th>\n",
       "      <th>act</th>\n",
       "      <th>action</th>\n",
       "      <th>...</th>\n",
       "      <th>year</th>\n",
       "      <th>year old</th>\n",
       "      <th>years</th>\n",
       "      <th>years ago</th>\n",
       "      <th>years prison</th>\n",
       "      <th>yemen</th>\n",
       "      <th>young</th>\n",
       "      <th>zealand</th>\n",
       "      <th>zimbabwe</th>\n",
       "      <th>Movement</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.092601</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 996 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   able  abortion  abuse  access  according  accounts  accused  accuses  act  \\\n",
       "0   0.0       0.0    0.0     0.0        0.0       0.0      0.0      0.0  0.0   \n",
       "1   0.0       0.0    0.0     0.0        0.0       0.0      0.0      0.0  0.0   \n",
       "\n",
       "   action  ...  year  year old     years  years ago  years prison  yemen  \\\n",
       "0     0.0  ...   0.0       0.0  0.092601        0.0           0.0    0.0   \n",
       "1     0.0  ...   0.0       0.0  0.000000        0.0           0.0    0.0   \n",
       "\n",
       "   young  zealand  zimbabwe  Movement  \n",
       "0    0.0      0.0       0.0         0  \n",
       "1    0.0      0.0       0.0         1  \n",
       "\n",
       "[2 rows x 996 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = data.loc[:,data.columns!='Movement']\n",
    "y = data['Movement']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LR's Accuracy: 0.50 (+/- 0.02)\n",
      "LDA's Accuracy: 0.51 (+/- 0.03)\n",
      "KNN's Accuracy: 0.51 (+/- 0.01)\n",
      "DdecisionTreeClassifier's Accuracy: 0.49 (+/- 0.03)\n",
      "NB's Accuracy: 0.49 (+/- 0.03)\n",
      "SVM's Accuracy: 0.54 (+/- 0.00)\n",
      "RF's Accuracy: 0.52 (+/- 0.03)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "models = []\n",
    "models.append(('LR' , LogisticRegression()))\n",
    "models.append(('LDA' , LinearDiscriminantAnalysis()))\n",
    "models.append(('KNN' , KNeighborsClassifier()))\n",
    "models.append(('DdecisionTreeClassifier' , DecisionTreeClassifier()))\n",
    "models.append(('NB' , GaussianNB()))\n",
    "models.append(('SVM' , SVC()))\n",
    "models.append(('RF' , RandomForestClassifier()))\n",
    "\n",
    "results = []\n",
    "names = []\n",
    "\n",
    "for name, model in models:\n",
    "    clf = model\n",
    "    scores = cross_val_score(clf, x, y, cv=5)\n",
    "    print(name + \"'s Accuracy: %0.2f (+/- %0.2f)\" % (scores.mean(), scores.std() * 2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before analyzing words in headlines, I also analyzed sentiment per headline of each day.\n",
    "Unfortunately, it seems it's impossible to find any relation between reddit world news headline and stock movement.\n",
    "The results are always like random guess."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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