SentimentAnalysisAmazon.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import sklearn\n",
    "import os\n",
    "import xml.etree.ElementTree as ET\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Our Data is in xml format so we need to process each line to get values from inside tags\n",
    "-  readLines in python returns lines from file inside a list so it's a useful tool"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<review>\n",
      "\n",
      "<unique_id>\n",
      "\n",
      "0375416811:founder_of_chick_lit:erin_oakes_\"avid_reader\"\n",
      "\n",
      "</unique_id>\n",
      "\n",
      "<unique_id>\n",
      "\n",
      "1521\n",
      "\n",
      "</unique_id>\n",
      "\n",
      "<asin>\n",
      "\n",
      "0375416811\n",
      "\n",
      "</asin>\n",
      "\n",
      "<product_name>\n",
      "\n",
      "Bridget Jones Diary: Books: Helen Fielding,Tracie Bennett\n",
      "\n",
      "</product_name>\n",
      "\n",
      "<product_type>\n",
      "\n",
      "books\n",
      "\n",
      "</product_type>\n",
      "\n",
      "<product_type>\n",
      "\n",
      "books\n",
      "\n",
      "</product_type>\n",
      "\n",
      "<helpful>\n",
      "\n",
      "\n",
      "\n",
      "</helpful>\n",
      "\n",
      "<rating>\n",
      "\n",
      "5.0\n",
      "\n",
      "</rating>\n",
      "\n",
      "<title>\n",
      "\n",
      "Founder of chick lit\n",
      "\n",
      "</title>\n",
      "\n",
      "<date>\n",
      "\n",
      "August 24, 2006\n",
      "\n",
      "</date>\n",
      "\n",
      "<reviewer>\n",
      "\n",
      "Erin Oakes \"avid reader\"\n",
      "\n",
      "</reviewer>\n",
      "\n",
      "<reviewer_location>\n",
      "\n",
      "Central PA\n",
      "\n",
      "</reviewer_location>\n",
      "\n",
      "<review_text>\n",
      "\n",
      "Bridget Jones, modern day woman, brillant and doesn't know it, prone to accidents and mess ups but manages to come out of them.  \n",
      "\n",
      "\n",
      "\n",
      "This is the book that started it all with the chick lit fever.  Bridget Jones is my hero! \n",
      "\n",
      "</review_text>\n",
      "\n",
      "</review>\n",
      "\n",
      "<review>\n",
      "\n",
      "<unique_id>\n",
      "\n",
      "188105201X:excellent_resource_for_principals!:onickre@mail.milwaukee.k12.wi.us\n",
      "\n",
      "</unique_id>\n",
      "\n",
      "<unique_id>\n",
      "\n",
      "3294\n",
      "\n",
      "</unique_id>\n",
      "\n",
      "<asin>\n",
      "\n",
      "188105201X\n",
      "\n",
      "</asin>\n",
      "\n",
      "<product_name>\n",
      "\n",
      "Leadership and the New Science: Learning About Organization from an Orderly Universe: Books: Margaret J. Wheatley\n",
      "\n",
      "</product_name>\n",
      "\n",
      "<product_type>\n",
      "\n",
      "books\n",
      "\n",
      "</product_type>\n",
      "\n",
      "<product_type>\n",
      "\n",
      "books\n",
      "\n",
      "</product_type>\n",
      "\n",
      "<helpful>\n",
      "\n",
      "3 of 3\n",
      "\n",
      "</helpful>\n",
      "\n",
      "<rating>\n",
      "\n",
      "5.0\n",
      "\n",
      "</rating>\n",
      "\n",
      "<title>\n",
      "\n",
      "Excellent resource for principals!\n",
      "\n",
      "</title>\n",
      "\n",
      "<date>\n",
      "\n",
      "July 6, 1999\n",
      "\n",
      "</date>\n",
      "\n",
      "<reviewer>\n",
      "\n",
      "ONICKRE@mail.milwaukee.k12.wi.us\n",
      "\n",
      "</reviewer>\n",
      "\n",
      "<reviewer_location>\n",
      "\n",
      "Milwaukee, Wisconsin\n",
      "\n",
      "</reviewer_location>\n",
      "\n",
      "<review_text>\n",
      "\n",
      "I am ordering copies for all 23 middle school principals and the two assistant principals leading two middle school programs in the Milwaukee Public Schools system. We will use Wheatley's book as the primary resource  for our professional growth at our MPS Middle School Principals  Collaborative institute August 9-11, 1999. We are not just concerned with  reform; we seek renewal as well. Wheatley provides the basis. She notes  that Einstein said that  a problem cannot be solved from the same  consciousness that created it. The entire book is a marvelous exploration  of this philosophy\n",
      "\n",
      "</review_text>\n",
      "\n",
      "</review>\n",
      "\n",
      "<review>\n",
      "\n",
      "<unique_id>\n",
      "\n",
      "0634079190:fun_to_play:michael_p._nolan\n",
      "\n",
      "</unique_id>\n",
      "\n",
      "<unique_id>\n",
      "\n",
      "3398\n",
      "\n",
      "</unique_id>\n",
      "\n",
      "<asin>\n",
      "\n",
      "0634079190\n",
      "\n",
      "</asin>\n",
      "\n",
      "<product_name>\n",
      "\n",
      "Avenue Q - The Musical (Piano/Vocal arrangement): Books: Robert Lopez,Jeff Marx\n",
      "\n",
      "</product_name>\n",
      "\n",
      "<product_type>\n",
      "\n",
      "books\n",
      "\n",
      "</product_type>\n",
      "\n"
     ]
    }
   ],
   "source": [
    "readMe = open('sorted_data/books/positive.review','r').readlines() #read = r\n",
    "for i in range(100):\n",
    "    print(readMe[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1000 + 1000 - : reviews on Amazon Books\n",
    "-  in our directory we have 25 amazon products reviews we will work on labled files wihch are 2 files per product so we get a total of 50 xml file to process let's start with what amazon was first known for books ,inside the books directory we have neagatif.review and positive.review"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1000\n",
      "1000\n"
     ]
    }
   ],
   "source": [
    "BooksPositRev = open('sorted_data/books/positive.review','r').readlines() #read = r\n",
    "BooksNegatRev = open('sorted_data/books/negative.review','r').readlines() #read = r\n",
    "#print(BooksNegatRev)\n",
    "#print(BooksPositRev)\n",
    "print(BooksNegatRev.count('</review>\\n'))\n",
    "print(BooksPositRev.count('</review>\\n'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## parse xml file \n",
    "-  add each element from each review to the list ** Review **\n",
    "-  add ** Review ** to the dictionary ** Reviews **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "def Processing_XML_Reviews_Dictionnaire(ListReviews):\n",
    "    count = 0\n",
    "    Review = []\n",
    "    Reviews = {}\n",
    "    for i in range(len(ListReviews)):\n",
    "        if ListReviews[i] != '</review>\\n':\n",
    "            if ListReviews[i] == '<review>\\n' and ListReviews[i+1] == '<unique_id>\\n':\n",
    "                # unique_id\n",
    "                Review.append('unique_id/'+ListReviews[i+2])\n",
    "            #if ListReviews[i] == '</unique_id>\\n' and ListReviews[i+1] == '<unique_id>\\n':\n",
    "                #unique_idN\n",
    "                #Review.append('unique_id/'+ListReviews[i+2])\n",
    "            if  ListReviews[i] == '<asin>\\n':\n",
    "                #asin\n",
    "                Review.append('asin/'+ListReviews[i+1])    \n",
    "            if  ListReviews[i] == '<product_name>\\n':\n",
    "                #productName\n",
    "                Review.append('product_name/'+ListReviews[i+1])\n",
    "            #if  ListReviews[i] == '</product_type>\\n' and ListReviews[i+1] == '<product_type>\\n' :\n",
    "                #here we append the producttype\n",
    "                #Review.append('product_type/'+ListReviews[i+2])\n",
    "            if ListReviews[i] == '<helpful>\\n':\n",
    "                #helpful\n",
    "                Review.append('helpful/'+ListReviews[i+1])\n",
    "            if ListReviews[i] == '<rating>\\n':\n",
    "                Review.append('rating/'+ListReviews[i+1])\n",
    "            if ListReviews[i] == '<title>\\n':\n",
    "                Review.append('title/'+ListReviews[i+1])\n",
    "            if ListReviews[i] == '<date>\\n':\n",
    "                Review.append('date/'+ListReviews[i+1])\n",
    "            if ListReviews[i] == '<reviewer>\\n':\n",
    "                Review.append('reviewer/'+ListReviews[i+1])\n",
    "            if ListReviews[i] == '<reviewer_location>\\n':\n",
    "                Review.append('reviewer_location/'+ListReviews[i+1])\n",
    "            if ListReviews[i] == '<review_text>\\n':\n",
    "                Review.append('review_text/'+ListReviews[i+1])\n",
    "        elif ListReviews[i] == '</review>\\n':\n",
    "            count = count + 1\n",
    "            r = 'review'+ str(count) \n",
    "            Reviews[r] = Review\n",
    "            #nfargou list\n",
    "            Review = []\n",
    "    return Reviews\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['unique_id/0375416811:founder_of_chick_lit:erin_oakes_\"avid_reader\"\\n',\n",
       " 'asin/0375416811\\n',\n",
       " 'product_name/Bridget Jones Diary: Books: Helen Fielding,Tracie Bennett\\n',\n",
       " 'helpful/\\n',\n",
       " 'rating/5.0\\n',\n",
       " 'title/Founder of chick lit\\n',\n",
       " 'date/August 24, 2006\\n',\n",
       " 'reviewer/Erin Oakes \"avid reader\"\\n',\n",
       " 'reviewer_location/Central PA\\n',\n",
       " \"review_text/Bridget Jones, modern day woman, brillant and doesn't know it, prone to accidents and mess ups but manages to come out of them.  \\n\"]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NegRev_Dict = Processing_XML_Reviews_Dictionnaire(BooksNegatRev)\n",
    "posRev_Dict = Processing_XML_Reviews_Dictionnaire(BooksPositRev)\n",
    "posRev_Dict['review1']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  We Can See our Dictionnary formed we still have many things to clean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1000\n",
      "1000\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['unique_id/0134744799:useful_but_over_priced:\"tseant\"\\n',\n",
       " 'asin/0134744799\\n',\n",
       " 'product_name/International Accounting Second Edition: Books\\n',\n",
       " 'helpful/6 of 8\\n',\n",
       " 'rating/1.0\\n',\n",
       " 'title/Useful but over priced\\n',\n",
       " 'date/February 4, 2001\\n',\n",
       " 'reviewer/\"tseant\"\\n',\n",
       " 'reviewer_location/Tokyo, Japan (formerly Sydney, Australia\\n',\n",
       " 'review_text/A useful book that provides a good summary comparing differing Accounting Standards and approaches between countries.  However, it is not worth the price.  It is supposedly written for later year undergraduate and masters accounting students.  It is more suitable for general second year accounting students.  Plus, as I am working with a multinational European bank in Japan, the book is, rapidly becoming, out of date.  There is none of the simply but incisive commentary which can be found in other books about the differences and outcomes of general accounting principals drawn from different countries\\n']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(len(NegRev_Dict))\n",
    "print(len(posRev_Dict))\n",
    "NegRev_Dict['review852']\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reviews from Dictionary to pandas dataframe\n",
    "-  split() returns list of element splited from string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def Porcessing_Dictonnary_ToDataFrame(Dict):\n",
    "    #on prepare notre dataframe pour les données\n",
    "    df = pd.DataFrame(columns=['unique_id','asin','product_name','helpful','rating','title',\n",
    "                    'date','reviewer','reviewer_location','review_text'])\n",
    "    count = 0\n",
    "    for i,k in Dict.items():\n",
    "        df.loc[count] = [k[0].split(\"/\")[1].split(\"\\n\")[0],k[1].split(\"/\")[1].split(\"\\n\")[0]\n",
    "                              ,k[2].split(\"/\")[1].split(\"\\n\")[0],k[3].split(\"/\")[1].split(\"\\n\")[0]\n",
    "                              ,k[4].split(\"/\")[1].split(\"\\n\")[0],k[5].split(\"/\")[1].split(\"\\n\")[0]\n",
    "                              ,k[6].split(\"/\")[1].split(\"\\n\")[0],k[7].split(\"/\")[1].split(\"\\n\")[0]\n",
    "                              ,k[8].split(\"/\")[1].split(\"\\n\")[0],k[9].split(\"/\")[1].split(\"\\n\")[0]\n",
    "        ]\n",
    "        count = count + 1\n",
    "\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "BooksNeg = Porcessing_Dictonnary_ToDataFrame(NegRev_Dict)\n",
    "BooksPos = Porcessing_Dictonnary_ToDataFrame(posRev_Dict)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Finaly books dataframe is ready to further data preparation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>unique_id</th>\n",
       "      <th>asin</th>\n",
       "      <th>product_name</th>\n",
       "      <th>helpful</th>\n",
       "      <th>rating</th>\n",
       "      <th>title</th>\n",
       "      <th>date</th>\n",
       "      <th>reviewer</th>\n",
       "      <th>reviewer_location</th>\n",
       "      <th>review_text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0440225450:the_author_started_repeating_himsel...</td>\n",
       "      <td>0440225450</td>\n",
       "      <td>The Final Detail: Books: Harlan Coben</td>\n",
       "      <td>2 of 3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>The author started repeating himself</td>\n",
       "      <td>January 4, 2007</td>\n",
       "      <td>Fabiola Queiroz \"Fabiola\"</td>\n",
       "      <td>São Paulo, Brasil</td>\n",
       "      <td>After reading all the author's books so far, i...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0060823879:dreadfully_boring:prairie_pal</td>\n",
       "      <td>0060823879</td>\n",
       "      <td>A Crack in the Edge of the World CD: America a...</td>\n",
       "      <td>4 of 5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Dreadfully Boring</td>\n",
       "      <td>April 28, 2006</td>\n",
       "      <td>Prairie Pal</td>\n",
       "      <td>Winnipeg, Canada</td>\n",
       "      <td>How can a best-selling author like Simon Winch...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           unique_id        asin  \\\n",
       "0  0440225450:the_author_started_repeating_himsel...  0440225450   \n",
       "1           0060823879:dreadfully_boring:prairie_pal  0060823879   \n",
       "\n",
       "                                        product_name helpful rating  \\\n",
       "0              The Final Detail: Books: Harlan Coben  2 of 3    2.0   \n",
       "1  A Crack in the Edge of the World CD: America a...  4 of 5    2.0   \n",
       "\n",
       "                                  title             date  \\\n",
       "0  The author started repeating himself  January 4, 2007   \n",
       "1                     Dreadfully Boring   April 28, 2006   \n",
       "\n",
       "                    reviewer  reviewer_location  \\\n",
       "0  Fabiola Queiroz \"Fabiola\"  São Paulo, Brasil   \n",
       "1                Prairie Pal   Winnipeg, Canada   \n",
       "\n",
       "                                         review_text  \n",
       "0  After reading all the author's books so far, i...  \n",
       "1  How can a best-selling author like Simon Winch...  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BooksNeg.head(n=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>unique_id</th>\n",
       "      <th>asin</th>\n",
       "      <th>product_name</th>\n",
       "      <th>helpful</th>\n",
       "      <th>rating</th>\n",
       "      <th>title</th>\n",
       "      <th>date</th>\n",
       "      <th>reviewer</th>\n",
       "      <th>reviewer_location</th>\n",
       "      <th>review_text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0875523587:very_encouraging_and_enlightening...:</td>\n",
       "      <td>0875523587</td>\n",
       "      <td>Your Family, God's Way: Developing and Sustain...</td>\n",
       "      <td>8 of 9</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Very encouraging and enlightening...</td>\n",
       "      <td>March 13, 1999</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>The author gave many thorough and enlightening...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0785264817:zig_is_the_grandfather_of_sales_ski...</td>\n",
       "      <td>0785264817</td>\n",
       "      <td>Selling 101: What Every Successful Sales Profe...</td>\n",
       "      <td>5 of 6</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Zig is the grandfather of sales skills</td>\n",
       "      <td>March 15, 2005</td>\n",
       "      <td>Todd B. Natenberg \"Author, 'I just got a job i...</td>\n",
       "      <td>Chicago, IL United States</td>\n",
       "      <td>Zig Ziglar has done it again. As an author mys...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           unique_id        asin  \\\n",
       "0   0875523587:very_encouraging_and_enlightening...:  0875523587   \n",
       "1  0785264817:zig_is_the_grandfather_of_sales_ski...  0785264817   \n",
       "\n",
       "                                        product_name helpful rating  \\\n",
       "0  Your Family, God's Way: Developing and Sustain...  8 of 9    5.0   \n",
       "1  Selling 101: What Every Successful Sales Profe...  5 of 6    5.0   \n",
       "\n",
       "                                     title            date  \\\n",
       "0     Very encouraging and enlightening...  March 13, 1999   \n",
       "1  Zig is the grandfather of sales skills   March 15, 2005   \n",
       "\n",
       "                                            reviewer  \\\n",
       "0                                                      \n",
       "1  Todd B. Natenberg \"Author, 'I just got a job i...   \n",
       "\n",
       "           reviewer_location  \\\n",
       "0                              \n",
       "1  Chicago, IL United States   \n",
       "\n",
       "                                         review_text  \n",
       "0  The author gave many thorough and enlightening...  \n",
       "1  Zig Ziglar has done it again. As an author mys...  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BooksPos.head(n=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Now We Loop over all our file\n",
    "- apparel/negative.review\t1000\n",
    "- apparel/positive.review1000\n",
    "- automotive/negative.review\t152\n",
    "- automotive/positive.review\t584\n",
    "- baby/negative.review\t900\n",
    "- baby/positive.review\t1000\n",
    "- beauty/negative.review\t493\n",
    "- beauty/positive.review\t1000\n",
    "- books/negative.review\t1000\n",
    "- books/positive.review\t1000\n",
    "- camera & photo/negative.review\t999\n",
    "- camera & photo/positive.review\t1000\n",
    "- cell phones & service/negative.review\t384\n",
    "- cell phones & service/positive.review\t639\n",
    "- computer & video games/negative.review\t458\n",
    "- computer & video games/positive.review\t1000\n",
    "- dvd/negative.review\t1000\n",
    "- dvd/positive.review\t1000\n",
    "- electronics/negative.review\t1000\n",
    "- electronics/positive.review\t1000\n",
    "- gourmet food/negative.review\t208\n",
    "- gourmet food/positive.review\t1000\n",
    "- grocery/negative.review\t352\n",
    "- grocery/positive.review\t1000\n",
    "- health & personal care/negative.review\t1000\n",
    "- health & personal care/positive.review\t1000\n",
    "- jewelry & watches/negative.review\t292\n",
    "- jewelry & watches/positive.review\t1000\n",
    "- kitchen & housewares/negative.review\t1000\n",
    "- kitchen & housewares/positive.review\t1000\n",
    "- magazines/negative.review\t970\n",
    "- magazines/positive.review\t1000\n",
    "- music/negative.review\t\t1000\n",
    "- music/positive.review\t\t1000\n",
    "- musical instruments/negative.review\t48\n",
    "- musical instruments/positive.review\t284\n",
    "- office products/negative.review\t64\n",
    "- office products/positive.review\t367\n",
    "- outdoor living/negative.review\t327\n",
    "- outdoor living/positive.review\t1000\n",
    "- software/negative.review\t915\n",
    "- software/positive.review\t1000\n",
    "- sports & outdoors/negative.review\t1000\n",
    "- sports & outdoors/positive.review\t1000\n",
    "- tools & hardware/negative.review\t14\n",
    "- tools & hardware/positive.review\t98\n",
    "- toys & games/negative.review\t1000\n",
    "- toys & games/positive.review\t1000\n",
    "- video/negative.review\t1000\n",
    "- video/positive.review\t1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sorted_data/apparel\\negative.review\n",
      "sorted_data/apparel\\positive.review\n",
      "sorted_data/automotive\\negative.review\n",
      "sorted_data/automotive\\positive.review\n",
      "sorted_data/baby\\negative.review\n",
      "sorted_data/baby\\positive.review\n",
      "sorted_data/beauty\\negative.review\n",
      "sorted_data/beauty\\positive.review\n",
      "sorted_data/books\\negative.review\n",
      "sorted_data/books\\positive.review\n",
      "sorted_data/cameraPhoto\\negative.review\n",
      "sorted_data/cameraPhoto\\positive.review\n",
      "sorted_data/cellPhonesService\\negative.review\n",
      "sorted_data/cellPhonesService\\positive.review\n",
      "sorted_data/computerVideoGames\\negative.review\n",
      "sorted_data/computerVideoGames\\positive.review\n",
      "sorted_data/dvd\\negative.review\n",
      "sorted_data/dvd\\positive.review\n",
      "sorted_data/electronics\\negative.review\n",
      "sorted_data/electronics\\positive.review\n",
      "sorted_data/gourmet_food\\negative.review\n",
      "sorted_data/gourmet_food\\positive.review\n",
      "sorted_data/grocery\\negative.review\n",
      "sorted_data/grocery\\positive.review\n",
      "sorted_data/healthPersonalCare\\negative.review\n",
      "sorted_data/healthPersonalCare\\positive.review\n",
      "sorted_data/jewelryWatches\\negative.review\n",
      "sorted_data/jewelryWatches\\positive.review\n",
      "sorted_data/kitchenHousewares\\negative.review\n",
      "sorted_data/kitchenHousewares\\positive.review\n",
      "sorted_data/magazines\\negative.review\n",
      "sorted_data/magazines\\positive.review\n",
      "sorted_data/music\\negative.review\n",
      "sorted_data/music\\positive.review\n",
      "sorted_data/musical_instruments\\negative.review\n",
      "sorted_data/musical_instruments\\positive.review\n",
      "sorted_data/office_products\\negative.review\n",
      "sorted_data/office_products\\positive.review\n",
      "sorted_data/outdoor_living\\negative.review\n",
      "sorted_data/outdoor_living\\positive.review\n",
      "sorted_data/software\\negative.review\n",
      "sorted_data/software\\positive.review\n",
      "sorted_data/sportsOutdoors\\negative.review\n",
      "sorted_data/sportsOutdoors\\positive.review\n",
      "sorted_data/toolsHardware\\negative.review\n",
      "sorted_data/toolsHardware\\positive.review\n",
      "sorted_data/toysGames\\negative.review\n",
      "sorted_data/toysGames\\positive.review\n",
      "sorted_data/video\\negative.review\n",
      "sorted_data/video\\positive.review\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "indir = 'sorted_data/'\n",
    "PositifReviews = []\n",
    "NegativeReviews = []\n",
    "for root, dirs, filenames in os.walk(indir):\n",
    "    #print(root,dirs,filenames)\n",
    "    for f in filenames:\n",
    "        #log = open(os.path.join(root, f), 'r').readlines()\n",
    "        #print(os.path.join(root, f))\n",
    "        #filee = open(log,'r').readlines()\n",
    "        if f == \"positive.review\":\n",
    "            log = open(os.path.join(root, f), 'r').readlines()\n",
    "            PositifReviews.append(Processing_XML_Reviews_Dictionnaire(log))\n",
    "            #print(log)\n",
    "            print(os.path.join(root, f))\n",
    "        if f == \"negative.review\":\n",
    "            log = open(os.path.join(root, f), 'r').readlines()\n",
    "            NegativeReviews.append(Processing_XML_Reviews_Dictionnaire(log))\n",
    "            #print(log)\n",
    "            print(os.path.join(root, f))\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 24 other products were added to our list plus the books from before we will have 25 product reviews\n",
    "-  with this multitude of areas we try to get more information about the vocabulary used with different products and with this approch we get to build  a big dictionnary of words \n",
    "-  after checking with the number of reviews in our documentation we didn't miss anything the numbers match "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "25\n",
      "25\n",
      "584\n",
      "1000\n"
     ]
    }
   ],
   "source": [
    "print(len(PositifReviews))\n",
    "print(len(NegativeReviews))\n",
    "print(len(PositifReviews[1]))# automotive/positive.review\t 584\n",
    "print(len(PositifReviews[2]))#baby/positive.review\t\t1000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## We get a very large Dataframe\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['unique_id/B0007QCQA4:good_sneakers:christopher_w._damico_\"macman\"\\n', 'asin/B0007QCQA4\\n', \"product_name/adidas Originals Men's Superstar II Basketball Shoe: Apparel\\n\", 'helpful/0 of 1\\n', 'rating/4.0\\n', 'title/GOOD SNEAKERS\\n', 'date/July 15, 2006\\n', 'reviewer/Christopher W. Damico \"MACMAN\"\\n', 'reviewer_location/NYC\\n', \"review_text/GOOD LOOKING KICKS IF YOUR KICKIN IT OLD SCHOOL LIKE ME. AND COMFORTABLE. AND RELATIVELY CHEAP. I'LL ALWAYS KEEP A PAIR OF STAN SMITH'S AROUND FOR WEEKENDS\\n\"]\n",
      "['unique_id/B0009N4F6I:works_very_well:i_have_9_cats\\n', 'asin/B0009N4F6I\\n', 'product_name/Wedgie Cup Holder: Automotive\\n', 'helpful/1 of 1\\n', 'rating/5.0\\n', 'title/Works very well\\n', 'date/August 19, 2006\\n', 'reviewer/I have 9 cats\\n', 'reviewer_location/Dela where?\\n', \"review_text/I bought one today for my Mazda Tribute because I didn't like the built-in cup holders. It's actually very sturdy and fits very well.\\n\"]\n",
      "['unique_id/B0002U1SFE:love_it!:a._kurczewski\\n', 'asin/B0002U1SFE\\n', 'product_name/Baby Einstein Discover and Play Activity Center: Baby\\n', 'helpful/1 of 1\\n', 'rating/4.0\\n', 'title/Love it!\\n', 'date/November 11, 2006\\n', 'reviewer/A. Kurczewski\\n', 'reviewer_location/Detroit, MI\\n', 'review_text/My daughter loves this activity center.  I wish they would change two things about it.  I wish we could change out the toys and it folded up\\n']\n",
      "['unique_id/B0009U8XUU:one_of_the_products_i_am_pleased_with!:maggierose\\n', 'asin/B0009U8XUU\\n', 'product_name/Jonathan Product Redo Freshen-Up Mist For Hair & Skin(R): Beauty\\n', 'helpful/9 of 14\\n', 'rating/4.0\\n', 'title/One of the products I am pleased with!\\n', 'date/July 3, 2005\\n', 'reviewer/maggierose\\n', 'reviewer_location/Long Island, NY\\n', 'review_text/I bought the Shampoo Theory and Condition Theory and this Redo Freshen-Up Mist. I have normal-type hair that needs to be washed every other day -- and if I use a lot of product, it needs to be washed every day. I have very sensitive skin too. This mist worked very well on my hair, definitely freshened it up and allowed me to restyle it with a quick blow dry. And it feels awesome on my skin. Well done, Jonathan\\n']\n",
      "['unique_id/0375416811:founder_of_chick_lit:erin_oakes_\"avid_reader\"\\n', 'asin/0375416811\\n', 'product_name/Bridget Jones Diary: Books: Helen Fielding,Tracie Bennett\\n', 'helpful/\\n', 'rating/5.0\\n', 'title/Founder of chick lit\\n', 'date/August 24, 2006\\n', 'reviewer/Erin Oakes \"avid reader\"\\n', 'reviewer_location/Central PA\\n', \"review_text/Bridget Jones, modern day woman, brillant and doesn't know it, prone to accidents and mess ups but manages to come out of them.  \\n\"]\n",
      "['unique_id/B00009R6TA:great__backpack:w._mutual\\n', 'asin/B00009R6TA\\n', 'product_name/Canon Deluxe Photo Backpack 200EG for Canon EOS SLR Cameras: Camera & Photo\\n', 'helpful/1 of 1\\n', 'rating/5.0\\n', 'title/great  backpack\\n', 'date/November 12, 2006\\n', 'reviewer/W. Mutual\\n', 'reviewer_location/California\\n', \"review_text/ This is a great back pack! If there is anything I would change it would be the logo on the front. It's brite and shinny, and I'd rather not advertise that I have a camera in there! I colored it in with a felt pen and it works great....... Overall, I love the backpack!!  \\n\"]\n",
      "[\"unique_id/B0006J419Q:best_earpiece_i've_owned:d._jackson\\n\", 'asin/B0006J419Q\\n', 'product_name/Jabra C150 Headset for 2.5mm Universal Headset Jack: Cell Phones & Service\\n', 'helpful/1 of 2\\n', 'rating/5.0\\n', \"title/Best earpiece I've owned\\n\", 'date/August 29, 2006\\n', 'reviewer/D. Jackson\\n', 'reviewer_location/Washington, DC USA\\n', \"review_text/I owned one of these for about three months, then it started to fall apart.  It was $30 at Best Buy.  I haven't replaced it, as $30 is a *lot*.\\n\"]\n",
      "['unique_id/B0009Z3K9E:you_can\\'t_go_wrong_with_\"dawn_of_sorrow.\":k._m._bowles_\"i_like_pie\"\\n', 'asin/B0009Z3K9E\\n', 'product_name/Castlevania Dawn of Sorrow: Computer &amp; Video Games\\n', 'helpful/1 of 1\\n', 'rating/5.0\\n', 'title/You can\\'t go wrong with \"Dawn of Sorrow.\"\\n', 'date/October 7, 2006\\n', 'reviewer/K. M. Bowles \"I Like pie\"\\n', 'reviewer_location/VA Beach, VA\\n', \"review_text/Castlevania: Dawn of Sorrow is the latest iteration of Konami's decades-old franchise and the first to appear on the Nintendo DS. Don't let the title fool you; this really isn't the dawn of anything, except maybe a bunch more Castlevania games on the DS. And the subtitle here is simply a workable way to include the letters D and S in the title of the game, as seems to be the requirement for the platform at this point. Dawn of Sorrow actually takes place a year after the events in Aria of Sorrow, which came out in 2003 on the Game Boy Advance. If you've played that game--or if you've played just about any recent Castlevania game actually--you'll be right at home with Dawn of Sorrow, because it's basically the same game repackaged to fit the DS. That isn't a bad thing though, because the Castlevania games have long carried the torch for good, old-fashioned 2D side-scrolling gameplay, and Dawn of Sorrow keeps that flame burning as bright as ever. \\n\"]\n",
      "['unique_id/B0000TG9E2:excellent_fantasy,_with_provisos_:lonnie_e._holder_\"the_review\\'s_the_thing\"\\n', 'asin/B0000TG9E2\\n', \"product_name/Alice in Wonderland (Masterpiece Edition): DVD: Kathryn Beaumont,Ed Wynn,Richard Haydn,Sterling Holloway,Jerry Colonna,Verna Felton,J. Pat O'Malley,Bill Thompson,Heather Angel,Joseph Kearns,Larry Grey,Queenie Leonard,Dink Trout,Doris Lloyd,James MacDonald (II),Bill Lee (IV),Thurl Ravenscroft,Max Smith,Bob Hamlin,Don Barclay,Wilfred Jackson,Clyde Geronimi,Hamilton Luske\\n\", 'helpful/7 of 12\\n', 'rating/4.0\\n', 'title/Excellent Fantasy, with Provisos \\n', 'date/July 3, 2006\\n', 'reviewer/Lonnie E. Holder \"The Review\\'s the Thing\"\\n', 'reviewer_location/Sullivan, Illinois United States\\n', 'review_text/The story of \"Alice in Wonderland\" was controversial from the moment that the Reverend Charles Lutwidge Dodgson, aka Lewis Carroll, wrote it.  Some took the story as horror rather than a childhood fantasy.  Others consider Alice\\'s journey as a trip into or through insanity.  For better or worse, Disney did capture many of these elements, and the same criticisms of the books that form the basis of this film apply to the film.  However, there are also those who loved the books and loved the film.  Normally I recommend Disney classis without reservations.  In the case of this movie, I will keep a couple of provisos.\\n']\n",
      "['unique_id/B00008SCFU:fast_and_accurate:j._n._fong\\n', 'asin/B00008SCFU\\n', 'product_name/Kingston 256 MB Secure Digital Card ( SD/256 ): Electronics\\n', 'helpful/\\n', 'rating/5.0\\n', 'title/Fast and Accurate\\n', 'date/March 19, 2006\\n', 'reviewer/J. N. Fong\\n', 'reviewer_location/Castro Valley, CA  USA\\n', 'review_text/I received my Kingston 256MB SD card just as advertised.\\n']\n",
      "['unique_id/B0000TVVEA:an_excellent_italian_gift_basket._.,:stewart__l\\n', 'asin/B0000TVVEA\\n', 'product_name/Italian Gift Basket - Classic (3.8 Pound) by igourmet.com: Gourmet Food\\n', 'helpful/5 of 11\\n', 'rating/5.0\\n', 'title/An excellent italian gift basket. .,\\n', 'date/November 24, 2005\\n', 'reviewer/stewart  L\\n', 'reviewer_location/flushing ,ny\\n', 'review_text/This italian gift basket,captures the feeling of italy,at it best...When you send this to family or friends,they will definitly,feel the love and warmth,of italy,and is sure to please...5 star recommended..\\n']\n",
      "['unique_id/B000CN7BNE:fantastically_refreshing!:sn\\n', 'asin/B000CN7BNE\\n', 'product_name/Zico Pure Coconut Water, Passion Fruit with Orange Peel Flavor, 11-Ounce Units (Pack of 12): Grocery\\n', 'helpful/\\n', 'rating/4.0\\n', 'title/fantastically refreshing!\\n', 'date/November 18, 2006\\n', 'reviewer/SN\\n', 'reviewer_location/Austin,TX\\n', \"review_text/I bought the natural flavour. Didn't find it very palatable the first time. But the next time was much better and now I am hooked on to it! An acquired taste, indeed! The 11-ounce is difficult to down in one go, though.\\n\"]\n",
      "['unique_id/B00006WNPU:omron_body_fat_analyyzer:nicholas_tompanis\\n', 'asin/B00006WNPU\\n', 'product_name/Omron HBF-306 Body Fat Analyzer: Health & Personal Care\\n', 'helpful/5 of 6\\n', 'rating/5.0\\n', 'title/Omron Body Fat Analyyzer\\n', 'date/August 19, 2006\\n', 'reviewer/Nicholas Tompanis\\n', 'reviewer_location/Virginia Beach, VA\\n', \"review_text/I've found the Omron very easy and practical to use.  It gives very good estimates of body fat percentages and BMI (body mass index) which can easily be used to illustrate a personal rate of progress for any dietary or weight training program.  For the money, it would be difficult to find something better\\n\"]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['unique_id/B000EX8N3E:outstanding_in_almost_every_way:b._siao\\n', 'asin/B000EX8N3E\\n', \"product_name/Casio Men's G-Shock Atomic Solar Watch # MTG920DA-1: Jewelry & Watches: Casio\\n\", 'helpful/\\n', 'rating/5.0\\n', 'title/Outstanding In Almost Every Way\\n', 'date/November 9, 2006\\n', 'reviewer/B. Siao\\n', 'reviewer_location/San Diego, CA\\n', 'review_text/Elegant yet tough, this particular Casio has a metal bracelet and is extremely comfortable to wear.  The display is sharp, clear, and very easy to read.  I only wish it had a thermometer.  The watch is big and looks very macho on your wrist\\n']\n",
      "['unique_id/B0002D31QU:immediate_results!:a._sanford\\n', 'asin/B0002D31QU\\n', 'product_name/Premier Gentle Spray Anti-Bark Dog Collar: Kitchen & Housewares\\n', 'helpful/1 of 1\\n', 'rating/5.0\\n', 'title/Immediate results!\\n', 'date/October 24, 2006\\n', 'reviewer/A. Sanford\\n', 'reviewer_location/Blacksburg, VA USA\\n', \"review_text/My grandma's 10 year old Yorkie just would never shut up.  He barked at our cat, at our parrot, and anything that moved really.  We bought this collar, and it worked perfectly and immediately.  One bark and it sprayed, and he would go running off...and stop barking!  I felt kinda bad for him, but his reaction was hilarious.  I couldn't stop laughing at him, poor thing.  However, he did learn that if the collar wasn't on, he wasn't going to get sprayed, so he would bark\\n\"]\n",
      "['unique_id/B00005UMOQ:good_magazine:david_allen_hazlewood\\n', 'asin/B00005UMOQ\\n', 'product_name/Body + Soul: Magazines\\n', 'helpful/\\n', 'rating/5.0\\n', 'title/Good magazine\\n', 'date/November 15, 2006\\n', 'reviewer/David Allen Hazlewood\\n', 'reviewer_location/Tacoma, WA\\n', 'review_text/I was sceptical at first. But after getting a few of the magazines I really got into the way they looked at the Whole Body health and didn\\'t JUST focus on \"body\" exercises like most magazines\\n']\n",
      "['unique_id/B00008QS9V:it\\'s_a_mighty_wind_a_blowin\\'!:carla_j._dinsmore_\"acoustic_music_junkie\"\\n', 'asin/B00008QS9V\\n', 'product_name/A Mighty Wind: The Album: Music: Various Artists\\n', 'helpful/\\n', 'rating/5.0\\n', \"title/It's a Mighty Wind a blowin'!\\n\", 'date/July 5, 2006\\n', 'reviewer/Carla J. Dinsmore \"Acoustic music junkie\"\\n', 'reviewer_location/Wilmington, DE USA\\n', \"review_text/This is a wonderful album, that evokes memories of the 60's folk boom, yet contains original songs. I was amazed at the fantastic harmonies and musical arrangements.\\n\"]\n",
      "[\"unique_id/B000CNTDY4:good_series_if_you're_interested_in_rock,_and_metal.:a._bailey\\n\", 'asin/B000CNTDY4\\n', 'product_name/Metal Method Complete Basic Course Level 1 Thru Level 6 on DVD Doug Marks Classic Rock: Musical Instruments\\n', 'helpful/1 of 1\\n', 'rating/4.0\\n', \"title/Good Series if you're interested in Rock, and Metal.\\n\", 'date/June 15, 2006\\n', 'reviewer/A. Bailey\\n', 'reviewer_location/New York, NY\\n', 'review_text/The videos are amazing! I would have to say better than amazing. The riffs, and solos that are taught are fun and work well with the level they correspond to, and I feel progresses well with a beginner and beyond at a consistant speed. The only problem is... that there is a grey area that overlaps the term beginner and intermediate so you may have to skip around the lessons to get on track with the course. For instance I decided to learn the riffs and practice the pull offs from the beginner DVDs and go straight into the intermediate levels of the course as the beginner sections where way to easy. But I would have to say if powerful riffs and electrifying solos is your passion then I know of no other course that will get you there quicker while having more fun doing it\\n']\n",
      "['unique_id/B0007LTJFO:excellent:book_reader_\"sam\"\\n', 'asin/B0007LTJFO\\n', 'product_name/Study Stand Wire Book Stand, 9-3/8\"x6\"x5-3/8\", Chrome Finish FEL10024: Office Products\\n', 'helpful/1 of 1\\n', 'rating/5.0\\n', 'title/Excellent\\n', 'date/August 12, 2006\\n', 'reviewer/Book Reader \"Sam\"\\n', 'reviewer_location/Baden, PA United States\\n', 'review_text/This wire stand will hold large books easily and will allow you to turn the pages with ease. I should have bought two of them.\\n']\n",
      "['unique_id/B00006WS5E:ignore_all_the_bad_press,_this_is_great:harriet_epstein_falkin_\"larry\"\\n', 'asin/B00006WS5E\\n', 'product_name/Brinkmann 810-5000-0 All-In-One Gas Outdoor Cooker: Outdoor Living\\n', 'helpful/\\n', 'rating/5.0\\n', 'title/Ignore all the bad press, this is great\\n', 'date/July 5, 2006\\n', 'reviewer/Harriet Epstein Falkin \"larry\"\\n', 'reviewer_location/Los Angeles, CA USA\\n', 'review_text/I use this BBQ with Mesquite lump charcoal and have grilled excellent steaks, and smoked some pork ribs, a chicken, a London Broil and a giant hamburger so far.  No marinade, just a dry rub and on the grill.  The book included has accurate cook times as long as you keep the temperature needle on the \"i\" in Ideal for as much of the cook time as possible, which is not hard to do.  Make sure to \"cure\" it before you use it.  This burns off all the smells and chemicals that are in it from the manufacturing. Cure it using the propane burner.   Easy to assemble too\\n']\n",
      "['unique_id/B00081I76A:photoshop_cs2_wow!:orvsal\\n', 'asin/B00081I76A\\n', 'product_name/Adobe Photoshop CS2: Software\\n', 'helpful/\\n', 'rating/5.0\\n', 'title/Photoshop CS2 WOW!\\n', 'date/November 9, 2006\\n', 'reviewer/OrvSal\\n', 'reviewer_location/Sacramento,Ca\\n', 'review_text/I am amazed what this program can do. It is a big difference from PS 5.5. It is a new learning curve but well worth it. What used to take me hours to do is now an action and done in 2 minutes. Amazon had the best price for me from a source I trust ordering from. It is worth it\\n']\n",
      "['unique_id/B00024J7C6:which_is_the_biggest_monster:man_from_u.k._\"inside_canon\"\\n', 'asin/B00024J7C6\\n', 'product_name/Toilet Monster: Sports &amp; Outdoors\\n', 'helpful/14 of 22\\n', 'rating/5.0\\n', 'title/Which is the biggest monster\\n', 'date/January 30, 2006\\n', 'reviewer/Man From U.K. \"Inside Canon\"\\n', 'reviewer_location/MD USA\\n', \"review_text/This monster is great...my old millionaire nan came over recently to tell us that she was about to take us out of her will because we had too much money already, and as luck would have it she had to use the bathroom during that same visit. We heard this scream from the bathroom and when we broke in we found our nan dead on the floor...luckily she hadn't gone to her attorney's office to sign the new will and we got our share after all...thanks toilet monster..you were worth the $15 + $5 shipping we paid for you\\n\"]\n",
      "['unique_id/B000630AR4:make_life_easier:m._i._guerrero_\"sunsad\"\\n', 'asin/B000630AR4\\n', 'product_name/Car Wash Wipes: Tools & Hardware\\n', 'helpful/1 of 1\\n', 'rating/5.0\\n', 'title/make life easier\\n', 'date/March 16, 2006\\n', 'reviewer/M. I. Guerrero \"sunsad\"\\n', 'reviewer_location/\\n', \"review_text/These are great cleaning wipes. Living here on the east coast when it snows and the salt and road dirt get all over the car it's not so easy to get to a car wash right away, pull one of these out and it cleans so well and leaves a great shine. My husband and I use these even after going to a car wash when you see water spots just 1 sheet will clean it all up. I hope they don't stop making them. Lately have not been able to find them in the stores....\\n\"]\n",
      "['unique_id/B0006I5G3M:now_a_clue_mystery_game_with_more_mysteries_to_solve!:melissa_lewis_\"sunflowergirl\"\\n', 'asin/B0006I5G3M\\n', 'product_name/Clue Mysteries: Toys &amp; Games\\n', 'helpful/7 of 9\\n', 'rating/4.0\\n', 'title/Now a clue mystery game with more mysteries to solve!\\n', 'date/May 31, 2006\\n', 'reviewer/Melissa Lewis \"Sunflowergirl\"\\n', 'reviewer_location/PA, USA\\n', 'review_text/Excellent product! I really appreciate the option to choose any of the 50 given mystery cases to solve. After playing all 50, you can just start all over again! Fun, fun, fun game! THANKS\\n']\n",
      "['unique_id/6301968972:just_as_true_today!:gary_d._thomas_\"brass_crass\"\\n', 'asin/6301968972\\n', 'product_name/Hucksters: Video: Clark Gable,Deborah Kerr,Sydney Greenstreet,Adolphe Menjou,Ava Gardner,Keenan Wynn,Edward Arnold,Aubrey Mather,Richard Gaines,Frank Albertson,Douglas Fowley,Clinton Sundberg,Gloria Holden,Connie Gilchrist,Kathryn Card,Lillian Bronson,Vera Marshe,Ralph Bunker,Virginia Dale,Jimmy Conlin,Jack Conway\\n', 'helpful/1 of 1\\n', 'rating/5.0\\n', 'title/Just as true today!\\n', 'date/August 4, 2000\\n', 'reviewer/Gary D. Thomas \"Brass Crass\"\\n', 'reviewer_location/Studio City, CaliforniA\\n', 'review_text/Picture this: Clark Gable and the whole passle of MGM stars and starlets!  Spins a great story, and all this in 1947, could be today, except they  dressed better. You will not forget the characterizations, especially  Sydney Greenstreet, eat your heart out Eddie Murphy, just a marvy little  film for all ages (God I love cliches!\\n']\n"
     ]
    }
   ],
   "source": [
    "df_24_Postif = pd.DataFrame(columns=['unique_id','asin','product_name','helpful','rating','title',\n",
    "                    'date','reviewer','reviewer_location','review_text'])\n",
    "df_24_Negatif = pd.DataFrame(columns=['unique_id','asin','product_name','helpful','rating','title',\n",
    "                    'date','reviewer','reviewer_location','review_text'])\n",
    "df = pd.DataFrame()\n",
    "\n",
    "for Rev in PositifReviews:\n",
    "    print(Rev['review1'])\n",
    "    df = Porcessing_Dictonnary_ToDataFrame(Rev)\n",
    "    #print(len(df))\n",
    "    #print(df.head(n=2))\n",
    "    df_24_Postif = pd.concat([df_24_Postif, df])\n",
    "    df.empty"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df1 = pd.DataFrame()\n",
    "for Rev in NegativeReviews:\n",
    "    #print(Reviews['review1'])\n",
    "    df1 = Porcessing_Dictonnary_ToDataFrame(Rev)\n",
    "    #print(len(df))\n",
    "    #print(df.head(n=2))\n",
    "    df_24_Negatif = pd.concat([df_24_Negatif, df1])\n",
    "    df1.empty"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "21972\n",
      "16576\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>unique_id</th>\n",
       "      <th>asin</th>\n",
       "      <th>product_name</th>\n",
       "      <th>helpful</th>\n",
       "      <th>rating</th>\n",
       "      <th>title</th>\n",
       "      <th>date</th>\n",
       "      <th>reviewer</th>\n",
       "      <th>reviewer_location</th>\n",
       "      <th>review_text</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>16576</td>\n",
       "      <td>16576</td>\n",
       "      <td>16576</td>\n",
       "      <td>16576</td>\n",
       "      <td>16576</td>\n",
       "      <td>16576</td>\n",
       "      <td>16576</td>\n",
       "      <td>16576</td>\n",
       "      <td>16576</td>\n",
       "      <td>16576</td>\n",
       "      <td>16576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>15442</td>\n",
       "      <td>10905</td>\n",
       "      <td>10760</td>\n",
       "      <td>908</td>\n",
       "      <td>2</td>\n",
       "      <td>13359</td>\n",
       "      <td>1664</td>\n",
       "      <td>13427</td>\n",
       "      <td>5730</td>\n",
       "      <td>14661</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>B0000AFQQU:this_is_a_big,_glossy_brochure_for_...</td>\n",
       "      <td>B00099QAQK</td>\n",
       "      <td>TIME [6-month subscription] [with $5 Bonus]: M...</td>\n",
       "      <td></td>\n",
       "      <td>1.0</td>\n",
       "      <td>Disappointed</td>\n",
       "      <td>January 9, 2007</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>neg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>20</td>\n",
       "      <td>2748</td>\n",
       "      <td>10443</td>\n",
       "      <td>78</td>\n",
       "      <td>216</td>\n",
       "      <td>452</td>\n",
       "      <td>3572</td>\n",
       "      <td>61</td>\n",
       "      <td>16576</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                unique_id        asin  \\\n",
       "count                                               16576       16576   \n",
       "unique                                              15442       10905   \n",
       "top     B0000AFQQU:this_is_a_big,_glossy_brochure_for_...  B00099QAQK   \n",
       "freq                                                    4          18   \n",
       "\n",
       "                                             product_name helpful rating  \\\n",
       "count                                               16576   16576  16576   \n",
       "unique                                              10760     908      2   \n",
       "top     TIME [6-month subscription] [with $5 Bonus]: M...            1.0   \n",
       "freq                                                   20    2748  10443   \n",
       "\n",
       "               title             date reviewer reviewer_location review_text  \\\n",
       "count          16576            16576    16576             16576       16576   \n",
       "unique         13359             1664    13427              5730       14661   \n",
       "top     Disappointed  January 9, 2007                                          \n",
       "freq              78              216      452              3572          61   \n",
       "\n",
       "        Class  \n",
       "count   16576  \n",
       "unique      1  \n",
       "top       neg  \n",
       "freq    16576  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(len(df_24_Postif))\n",
    "print(len(df_24_Negatif))\n",
    "df_24_Postif.describe()\n",
    "df_24_Negatif.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## finally We got\n",
    "-  21972 positive reviews on 25 products\n",
    "-  16576 negatif reviews on 25 products"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_24_Postif['Class'] = \"pos\" # review positives\n",
    "df_24_Negatif['Class'] = \"neg\" #review Negatif\n",
    "Reviews  = pd.concat([df_24_Postif,df_24_Negatif])\n",
    "Reviews.drop('unique_id',axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Unique_id Has the same information as \"asin\" \"title\" \"reviewer\" so we can eliminate it\n",
    "-  exp : ['1584884339', 'outstanding', 'k._kalantar-zadeh_\"kkz\"']\n",
    "-  BooksReviews is the dataframe that features 2000 reviews on books 1000+ 1000- I want to keep it apart to test on this subset and thus gain compute time compare to 25 product and 50000 reviews\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "BooksPos.drop('unique_id',axis=1,inplace=True)\n",
    "BooksNeg.drop('unique_id',axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "BooksPos['Class'] = \"pos\" # review positives\n",
    "BooksNeg['Class'] = \"neg\" #review Negatif\n",
    "BooksReviews = pd.concat([BooksPos,BooksNeg])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>asin</th>\n",
       "      <th>product_name</th>\n",
       "      <th>helpful</th>\n",
       "      <th>rating</th>\n",
       "      <th>title</th>\n",
       "      <th>date</th>\n",
       "      <th>reviewer</th>\n",
       "      <th>reviewer_location</th>\n",
       "      <th>review_text</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>B0009PG35M</td>\n",
       "      <td>ASICS&amp;#174; Men's GEL-Nimbus&amp;#174; VII: Apparel</td>\n",
       "      <td>5 of 5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Never buying Nike Running Shoes again</td>\n",
       "      <td>March 17, 2006</td>\n",
       "      <td>Shanik</td>\n",
       "      <td></td>\n",
       "      <td>Seriously, went into the store to find new run...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B0009OTGE8</td>\n",
       "      <td>Bill Blass Men's Dress Shirt with Fashion Poin...</td>\n",
       "      <td></td>\n",
       "      <td>5.0</td>\n",
       "      <td>Bill Blass shirts</td>\n",
       "      <td>March 2, 2006</td>\n",
       "      <td>Richard H. Pontone</td>\n",
       "      <td>Brooklyn,NY</td>\n",
       "      <td>The shirts are what I had asked for.  They are...</td>\n",
       "      <td>pos</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         asin                                       product_name helpful  \\\n",
       "0  B0009PG35M    ASICS&#174; Men's GEL-Nimbus&#174; VII: Apparel  5 of 5   \n",
       "1  B0009OTGE8  Bill Blass Men's Dress Shirt with Fashion Poin...           \n",
       "\n",
       "  rating                                  title            date  \\\n",
       "0    5.0  Never buying Nike Running Shoes again  March 17, 2006   \n",
       "1    5.0                      Bill Blass shirts   March 2, 2006   \n",
       "\n",
       "             reviewer reviewer_location  \\\n",
       "0              Shanik                     \n",
       "1  Richard H. Pontone       Brooklyn,NY   \n",
       "\n",
       "                                         review_text Class  \n",
       "0  Seriously, went into the store to find new run...   pos  \n",
       "1  The shirts are what I had asked for.  They are...   pos  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Reviews.head(n=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"Seriously, went into the store to find new running shoes, possibly the air 360.  Was wearing shoxs in the store.  Threw them away immediately.  These are the best shoes I've worn in a long while.  I'm one of those ppl that like to take off my shoes as soon as I get home.  I forgot that these were on, they were that comfortable.  I'm a heavy, parttime runner.  Nothing over 5K as I am just starting again.  They support my weight extremely well\""
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Reviews.iloc[0,8]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## NLTK natural language Tool Kit\n",
    "- NLTK is a leading platform for building Python programs to work with human language data(NLP)\n",
    "- with **word_tokenize** we can extract the words from the text\n",
    "- with **sent_tokenize** we can extract the sentences from the text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Words  ['Seriously', ',', 'went', 'into', 'the', 'store', 'to', 'find', 'new', 'running', 'shoes', ',', 'possibly', 'the', 'air', '360', '.', 'Was', 'wearing', 'shoxs', 'in', 'the', 'store', '.', 'Threw', 'them', 'away', 'immediately', '.', 'These', 'are', 'the', 'best', 'shoes', 'I', \"'ve\", 'worn', 'in', 'a', 'long', 'while', '.', 'I', \"'m\", 'one', 'of', 'those', 'ppl', 'that', 'like', 'to', 'take', 'off', 'my', 'shoes', 'as', 'soon', 'as', 'I', 'get', 'home', '.', 'I', 'forgot', 'that', 'these', 'were', 'on', ',', 'they', 'were', 'that', 'comfortable', '.', 'I', \"'m\", 'a', 'heavy', ',', 'parttime', 'runner', '.', 'Nothing', 'over', '5K', 'as', 'I', 'am', 'just', 'starting', 'again', '.', 'They', 'support', 'my', 'weight', 'extremely', 'well']\n",
      "Sents  ['Seriously, went into the store to find new running shoes, possibly the air 360.', 'Was wearing shoxs in the store.', 'Threw them away immediately.', \"These are the best shoes I've worn in a long while.\", \"I'm one of those ppl that like to take off my shoes as soon as I get home.\", 'I forgot that these were on, they were that comfortable.', \"I'm a heavy, parttime runner.\", 'Nothing over 5K as I am just starting again.', 'They support my weight extremely well']\n"
     ]
    }
   ],
   "source": [
    "from nltk.tokenize import word_tokenize,sent_tokenize\n",
    "from nltk.tokenize import RegexpTokenizer\n",
    "\n",
    "\n",
    "#nltk.download()\n",
    "#nltk.download('punkt')\n",
    "def tokenize_words_Sents(Sent):\n",
    "    return word_tokenize(Sent),sent_tokenize(Sent)\n",
    "def tokenize_words(Sent):\n",
    "    return word_tokenize(Sent)   \n",
    "def RegExpTokenizer(Sent):\n",
    "    tokenizer = RegexpTokenizer(r'\\w+')\n",
    "    return tokenizer.tokenize(Sent)\n",
    "\n",
    "Words,Sents = tokenize_words_Sents(Reviews.iloc[0,8])\n",
    "print(\"Words \",Words)\n",
    "print(\"Sents \",Sents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stop Words : usless words that we need to eliminate\n",
    "-  NLTk offers English most popular StopWords with **stop_Words**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\"wasn't\", 'than', 'the', 'theirs', 's', \"it's\", 'as', 'what', 'doing', 'our', 'ain', 'these', 'wouldn', 'yourself', 'weren', \"mightn't\", \"hadn't\", \"you'll\", 'his', 'won', 'against', 'd', 'but', 'they', 't', 'ourselves', 'nor', 'we', 'just', 'him', 'then', 're', 'for', 'doesn', 'here', 'were', 'of', 'itself', 'wasn', 'them', 'couldn', \"needn't\", 'when', 'needn', \"that'll\", 'should', 'and', 'ours', 'which', 'between', \"shouldn't\", 'those', 'or', 'all', 'has', \"shan't\", 'why', 'ma', 'isn', 'shan', \"won't\", 'been', 'have', 'where', 'did', 'both', 'now', 'am', \"aren't\", 'can', \"you've\", 'themselves', 'will', 'any', 'who', 'hers', 'an', \"doesn't\", 'it', \"haven't\", \"you'd\", 'down', 'during', 'most', 'from', 'there', 'other', 'myself', 'to', 'not', 'too', 'only', 'each', 'aren', 'more', 'by', 'on', 'about', 'such', 'yourselves', \"isn't\", 'being', 'own', 'i', 'y', 'does', 'same', 'so', 'haven', 'above', 'off', 'mustn', 'until', 'while', 'whom', \"hasn't\", 'again', 'under', 'hadn', 'herself', 'that', \"wouldn't\", 'had', 'out', 'didn', \"mustn't\", 'at', 'll', \"couldn't\", 'some', 'having', 'your', 'because', 'you', 'through', \"don't\", 'is', 'she', 'me', 'no', 'my', 'do', 'don', 'once', 'he', \"weren't\", 'below', 'their', 'how', 'are', 'into', 'after', 'in', 'yours', 'shouldn', 've', 'himself', 'very', 'm', 'with', 'few', 'before', 'o', \"she's\", 'its', \"didn't\", 'hasn', 'be', 'further', 'mightn', 'her', \"you're\", 'this', 'over', \"should've\", 'up', 'if', 'a', 'was'}\n",
      "------------------Words ------------------------\n",
      "['Seriously', ',', 'went', 'into', 'the', 'store', 'to', 'find', 'new', 'running', 'shoes', ',', 'possibly', 'the', 'air', '360', '.', 'Was', 'wearing', 'shoxs', 'in', 'the', 'store', '.', 'Threw', 'them', 'away', 'immediately', '.', 'These', 'are', 'the', 'best', 'shoes', 'I', \"'ve\", 'worn', 'in', 'a', 'long', 'while', '.', 'I', \"'m\", 'one', 'of', 'those', 'ppl', 'that', 'like', 'to', 'take', 'off', 'my', 'shoes', 'as', 'soon', 'as', 'I', 'get', 'home', '.', 'I', 'forgot', 'that', 'these', 'were', 'on', ',', 'they', 'were', 'that', 'comfortable', '.', 'I', \"'m\", 'a', 'heavy', ',', 'parttime', 'runner', '.', 'Nothing', 'over', '5K', 'as', 'I', 'am', 'just', 'starting', 'again', '.', 'They', 'support', 'my', 'weight', 'extremely', 'well']\n",
      "------------------Words filltred---------------------\n",
      "['Seriously', ',', 'went', 'store', 'find', 'new', 'running', 'shoes', ',', 'possibly', 'air', '360', '.', 'Was', 'wearing', 'shoxs', 'store', '.', 'Threw', 'away', 'immediately', '.', 'These', 'best', 'shoes', 'I', \"'ve\", 'worn', 'long', '.', 'I', \"'m\", 'one', 'ppl', 'like', 'take', 'shoes', 'soon', 'I', 'get', 'home', '.', 'I', 'forgot', ',', 'comfortable', '.', 'I', \"'m\", 'heavy', ',', 'parttime', 'runner', '.', 'Nothing', '5K', 'I', 'starting', '.', 'They', 'support', 'weight', 'extremely', 'well']\n"
     ]
    }
   ],
   "source": [
    "from nltk.corpus import stopwords\n",
    "#nltk.download('stopwords')\n",
    "def Eliminate_Stop_Words(Sent):\n",
    "    stop_words = set(stopwords.words(\"english\"))\n",
    "    filtered_words = []\n",
    "    for w in Sent:\n",
    "        if w not in stop_words:\n",
    "            filtered_words.append(w)\n",
    "    return stop_words,filtered_words\n",
    "\n",
    "def Eliminate_Stop_Word(Sent):\n",
    "    stop_words = set(stopwords.words(\"english\"))\n",
    "    filtered_words = []\n",
    "    for w in Sent:\n",
    "        if w not in stop_words:\n",
    "            filtered_words.append(w)\n",
    "    return filtered_words\n",
    "\n",
    "stop_words,filtered_words = Eliminate_Stop_Words(Words)\n",
    "print(stop_words)\n",
    "print(\"------------------Words ------------------------\")\n",
    "print(Words)\n",
    "print(\"------------------Words filltred---------------------\")\n",
    "print(filtered_words)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stop Words Cloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+W3x/05COK0UVlamPk4zfiiFr0FoThm24/hso1QkIDGMstjkfKatx7LMxjHFI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\nG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e/PcC9+E2bTEoSTTWYJ8xS/pjmyK6Rtqclwr6RjuUngwdN3BZhTIpemnYSndj8REoWa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\nSkpKygLm/wNnqwn8EhdmlQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26ba07c0c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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+rU0GRN8sP1qiF4J9FPy9pIwlSE58ln8iJPQ5+KqXnL+9/7WMt4FQjS+qxwnb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\nlg4fnZXk8qn9q4V1DRxD4EUKTQiyNozJ6NiG4Ht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OvhRr9nyM1qkITSPqbqfy8G14ix/F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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26ba342efd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "from wordcloud import WordCloud\n",
    "\n",
    "# Generate a word cloud image\n",
    "wordcloud = WordCloud().generate(' '.join(stop_words))\n",
    "\n",
    "# Display the generated image:\n",
    "# the matplotlib way:\n",
    "import matplotlib.pyplot as plt\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis(\"off\")\n",
    "\n",
    "# lower max_font_size\n",
    "wordcloud = WordCloud(max_font_size=40).generate(' '.join(stop_words))\n",
    "plt.figure()\n",
    "plt.imshow(wordcloud, interpolation=\"bilinear\")\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stemming is the standardization in the NLP\n",
    "- we try to eliminate all charcters at the end of each word 'ing' 'ed' 'er' to gain in computational because the meaning does not change if we eliminate them we gain in Computational Efficiency : \n",
    "- example :\n",
    "- python\n",
    "- pythoning\n",
    "- pythoner\n",
    "- ext ..\n",
    "- so with the stemming we gain in computation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['serious', ',', 'went', 'store', 'find', 'new', 'run', 'shoe', ',', 'possibl', 'air', '360', '.', 'wa', 'wear', 'shox', 'store', '.', 'threw', 'away', 'immedi', '.', 'these', 'best', 'shoe', 'I', \"'ve\", 'worn', 'long', '.', 'I', \"'m\", 'one', 'ppl', 'like', 'take', 'shoe', 'soon', 'I', 'get', 'home', '.', 'I', 'forgot', ',', 'comfort', '.', 'I', \"'m\", 'heavi', ',', 'parttim', 'runner', '.', 'noth', '5K', 'I', 'start', '.', 'they', 'support', 'weight', 'extrem', 'well']\n"
     ]
    }
   ],
   "source": [
    "from nltk.stem import PorterStemmer\n",
    "def Stemming_Words(Words):\n",
    "    Ps = PorterStemmer()\n",
    "    Stemmed_Words = []\n",
    "    for m in Words:\n",
    "        Stemmed_Words.append(Ps.stem(m))\n",
    "    return Stemmed_Words\n",
    "Stemmed_Words = Stemming_Words(filtered_words)\n",
    "print(Stemmed_Words)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lemmatizing is like the Stemming\n",
    "- Instead of returning the same words with the last characters removed, it returns the root of the word or another word synonymous so the returns are true English words\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Seriously', ',', 'went', 'store', 'find', 'new', 'running', 'shoe', ',', 'possibly', 'air', '360', '.', 'Was', 'wearing', 'shoxs', 'store', '.', 'Threw', 'away', 'immediately', '.', 'These', 'best', 'shoe', 'I', \"'ve\", 'worn', 'long', '.', 'I', \"'m\", 'one', 'ppl', 'like', 'take', 'shoe', 'soon', 'I', 'get', 'home', '.', 'I', 'forgot', ',', 'comfortable', '.', 'I', \"'m\", 'heavy', ',', 'parttime', 'runner', '.', 'Nothing', '5K', 'I', 'starting', '.', 'They', 'support', 'weight', 'extremely', 'well']\n"
     ]
    }
   ],
   "source": [
    "from nltk.stem import WordNetLemmatizer\n",
    "#nltk.download('wordnet')\n",
    "def Lemmatizing_Words(Words):\n",
    "    Lm = WordNetLemmatizer()\n",
    "    Lemmatized_Words = []\n",
    "    for m in Words:\n",
    "        Lemmatized_Words.append(Lm.lemmatize(m))\n",
    "    return Lemmatized_Words\n",
    "\n",
    "Lemmatized_Words = Lemmatizing_Words(filtered_words)\n",
    "print(Lemmatized_Words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['The', 'shirts', 'are', 'what', 'I', 'had', 'asked', 'for', 'They', 'are', 'sturdy', 'and', 'well', 'made', 'I', 'would', 'buy', 'more', 'if', 'I', 'needed', 'more', 'Well', 'worth', 'the', 'money', 'spen']\n",
      "['The', 'shirts', 'I', 'asked', 'They', 'sturdy', 'well', 'made', 'I', 'would', 'buy', 'I', 'needed', 'Well', 'worth', 'money', 'spen']\n",
      "['The', 'shirt', 'I', 'asked', 'They', 'sturdy', 'well', 'made', 'I', 'would', 'buy', 'I', 'needed', 'Well', 'worth', 'money', 'spen']\n"
     ]
    }
   ],
   "source": [
    "#GEt words from Review_text m3neha Tokenize \n",
    "#RegExpTokenizer to get rid of ponctuation\n",
    "ListWords =  [RegExpTokenizer(m) for m in list(Reviews['review_text'])]\n",
    "print(ListWords[1])\n",
    "#Eliminate Stop_Words\n",
    "ListWords =  [Eliminate_Stop_Word(m) for m in ListWords]\n",
    "print(ListWords[1])\n",
    "#Stemming\n",
    "ListWords = [Lemmatizing_Words(m) for m in ListWords]\n",
    "print(ListWords[1])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Most redandent and important words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#All Words\n",
    "from nltk import FreqDist\n",
    "def Bag_Of_Words(ListWords):\n",
    "    all_words = []\n",
    "    for m in ListWords:\n",
    "        for w in m:\n",
    "            all_words.append(w.lower())\n",
    "    all_words = FreqDist(all_words)\n",
    "    #print(all_words.most_common(300))\n",
    "    #print(len(all_words.keys()))\n",
    "    return all_words"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 48943 words in all reviews"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Combien de Mots !!! 48943\n"
     ]
    },
    {
     "data": {
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yMobFf+K0+A+03U/oJD/HmRWsNCnCHtPqS3J/nyLskphNVtK/ouGuAVDpKaPi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C3fXgkVlVQAEoFNAkugenrQhWVqZnRGRGhB8/33dOilQa4cfEiIlx/QNcfx+p1FHVFojgncNn\nU/xsBCpCVeqBfMUVfJHhjnfBWvT6dVSjgxv38MNj3GQQyFq1hao2FxM4u3+fYu8OurWG2XgP1VxB\nKsGQ6zx4PAWOwocOTiXPXxIUTrISX0TlMxxHbsyhG5OKYUM3aEiCPudMqErMqhIaKvx96guO3IS+\nD4s9c8x8wYEdc+wmVCViQzUWr3l6zJpEiKrRkBiFMKXg0I3p++kzoe5vC76VJK5aVRdSxl6EtAz9\n3tjUXL+uOTx0PH7sGJUXojwPNv+97klA9cswnYaStP2DMFav6xcqVJKEHLbvfNfw4XcMjUYgHS+C\niFCtCdVaKMXr9z39QTBfmVzSSE4E6g0hSYMattRWeB+C0cdjT14ER8nusWe87qlUXkyMTsO5UJJ5\n/14wZRmN3SKyoFYTtraCyUWjKS/tt3OuDMcuLfa/KJ1IgUXe3fUbhu9/HC0UuJcpsCJhIpOmsLNj\nqFSEX3yS02wqRqOw//N/955YDg8czeZc3bvYMXgaWsPWtubHP4754EPD1pZ+abB5qPGHSgWuXg2q\n4dpaRpJCnoXS0MkE8jx8btNpIHGXCYH/UyNWNeJL9DK8iTGNxKfI3glOT0aiKKhpcXSikCgRKik0\naopqJfw9zyFJgptoYYPykSZCu6VYairqNWFlWZHnnjgK5kztlmAuEGeRSpUVvclju4LDMvI9hr7L\n2A9IpUruM47dHnv2Pk3psG52aKnOt06FA5j4IUf2CQ/tl9zJf8u+fcTED8n8FIctiVzO1I/J/LQk\ncGev3zXVZE3vMPMTDvwjDt0uD4svGPsBChXKMN0BDktbrbGmt6mo8H0qI+PJmTH1Y5TTiIKpHTOQ\n6NwJ54reYlVfoSFLJJIuSn0hZEQdTBx7E4dzQSeoGkWiYZA7hrmnZoRaJMysD1lUp0hcVip4hQsT\nqYn1uNINz0hwxlMCS6iS2L24qmDoLQ/tlF075djlbOmUD6M6P4pabOmUlrq4AcBcuTx0Gb/Ph4y9\noy0R102V26bONXP2Jt7yURnDIPwi79ErCh7bGffsauhKdwAAIABJREFUhLoYNs+5BisgKpXCj6IG\n7+saiaiF6lhBExvFyFv+MTvmkZ8ycAVdn9PyJ/siImVR9QkSUcSiMKWJiSr74dLFz8VuCqePti4t\n0rUE1803cbmeq0xrKubjqLkg068y+lypXlYR75saFdFURLGsYmpiaM7VufIn9ooNlbArM6yHSZml\n9yaQSkqq05c/8dmdYN5huW8PuW93g+GVJBjRGAy2VOB6bsC+O+KOvc8v80/5orjHsesveuGCGZSh\noercMDv8OP4+O3qTRKKQWQdoggo+h8tnuMERbnCIG/cREXxSBe+w3ce4/j6q0UFqS0iRI9MRkgZi\n5gZH2O4TZDrEz8YhP8qDLzJ8PkWiCl6bkBWlI3w2wfX28fkMtbQGtSX8qIftPsHnWVD1nMXPxkhc\nQZIKbnBI8eQuOI9e3goK3ws+MkGIRZOIQREWbcY+p+smpGJIMIHk4Zj4nLHPcXiqElEpX/M0Cm/p\nuxnHbkJHVXHes+eG/K7Yf+a5Do/zjp4LBCvzlp6fMvQZ9lSpZu4dfT+l66Z0VJUCx2M7eO6Y1jt6\nbobDM/MFXTdl5DMsrlTrTmLiw3FgUeXgPGQ+XH8jJURy4oE6XwyZ90L68v005fMuOTn7VpK4N4k0\nFTorilbrbBmZs0EFmk4v3nvW6wVjkIN9F/K/ym9BpRpcMze3FCsrmnr9+T1Cz0Ono/jwQ8OdL4uS\n/F3+gjknJJ0VxXvva+4qmExsKKvMoHscShiXlsI2v4xszjEP4v7973IO9u2ZCISlJcX7Nw1b2y8n\nMRCIysG+46s7BQf7buHsCbDcUbz/vmFrO1jsR9Gr5bqJBGJdqQgrK8Fk5fFu6LU7UboCeWy2FM3S\nIOdVERSbsFDw0ccRGxv6lcigUiFKoFYTWkuKdlvR7wWjl3kO3mwa8viiyF/4c3qHF0MJpfqqiGPD\nxppm/8hxcHgS5teoKa5sKhq10IPpy3LKosynFE4Wbxr18B3dWte0GmGxQWuoVy/2vY0l9H+1VIe6\najFyA3ruiP3iIR29SU4gcfv2ISvRFjvm1iLL7NuGA7vLr7J/YLe4y8j3qUiNG+a7tPUqhhiPo++O\nObAP+WX29zwsPn9mjI7a4IP4h2R+ym5xl3v5Z3TtAalU0RJhCZl6LbXMDfNdrka3aUk4nuHmHL4D\nBsON6Lvcjn5EUy3TVJ3nTpxrqhHMaPQKVTlp9nfeM7WeXtnvOik8y6mnESu+GhTcH1g6FcVKqhbv\nH4jYyWRhlHseDR2jwjPMHd5DLRIqWtBKqJVl1KnRGAkKwvMw9gWPS9dIgKYybJW9Tq8aTj2fxAxd\n6KeqiF70ZcXnlEsbhIYyLKuYpkQkohakckdXnn0DoCoaUXHoxytt/0/vnhEpbfJDD5sDMu+YOkuh\n3s6V91dFSyJ2dIWOikO0wyXHEYIBS/VUX6OW4EBaFU1dGVKCFb7yghGF5pT74htS4l4HriyV/GX+\nO/7P6f/L1M/QElQ4LaqMICnIfMakNFE5cMf03JCZzxbjaBQdtcS23uBD8x5/Fn1IW7VeuDDmZyPs\nwQOwBXp5C1VfQqIUPx0ihw+QKEV3ttHL29ijXWxvD+1dKHtUKpRFFjnu+Ekog4xiJK6gGiuoaiuM\nl1RARyGLVNQiZNg7ixv3cP3D8N6tVezRI+zBA8zadVRnG9VcQTdXUM0OqtFBVeq8aEISoVlRNbZ1\nk4oYxj7nge3xm/wJ2zrkrQ19xsDNeGT73LNdGpJwTbdZ0yGc+5ljBGRYBn7GxIZyxiduwH+d3T33\nuR7P3eKYocsolGXic2a+wJ4uncUvCN7IZhy6Mbu2z3+effncMb8ojpj6gty7ckyL8x5fLnwV3jPX\nbuKyTaXwnomDg8IytJ5OpFjWikjCQlJevi73kPtQpZADNSW0teKS9grvSNzLkCRhglyvK/RpEudD\nH1KWeay92MVp0A+28kdHjiJnwbOqFWFtXbOxoWktCdXqq6+Qt5aEKNasrinSJEzw3SXuQXOVBzwr\nK4EMjYae3UchbsEWJRm9Z1lZVSx3FPX6i8c8HVJ9ULpSHhy4M9u31A6E8SJKFIS+xMPDsB1HRyEO\nYI52W/He+4b1dU2aPr8H7kXHYD7BXloKJGs48Ii4xb6Mhp7dXcvmpqa4cjkZLoqDari2pnjvPfPK\nZZlKBXUtrYSctlZLMZsG9Q3C9TvLgvlGrT6f3r3D60IpIU2CktZsKNy6J/oqOISaCJIilEKur2oa\nNSE51Yc5XwSAE6OTOTptYXlJPffvz4ORCCPRgsgVPmfgjtiz94klwYmn747pu2NSVWXLvHcmF+3b\ngLmq03X7/D77OYfuMQ1ZYs1c4b3oI66ZD0lVFY9jr3jAV8Xv+Kr4PQ95lsTVVYtYUu6p3+Px9Nwh\nXbePloiYhJpq0lIrrOor7JhbbOv3n1FsFYpIEtb1Dh/GP2ZDX2NDX3+uyjV3TA3qy8n133uwDmbW\n088c1gWiMXOe+0PLZ92CK4VekDfnIdVCxYTJuvWefubZnzi6s0DkvId6JFRNeN5SEso0c+tRL7lW\nTso8tKEv0CI0xLCiYpafU3L1IoRVb19mw+WkWpV9W9G58bpahCohJ66uQo/ZxFv2bciUOw+JKBJR\nNEqzlact7lX5nLQkHB5Pjmfm3ZmJ4DcZddELwxm96O18dYiwiI2YjxBUhDmRU2U/nZwpIZ2bRrwN\nCG6cji/tff7T7Kf0fch6m/fGzZX052HuRFmTKlf0Jt+J3ue2eY/3zNWXHlefZ7jRMaI0klRQ9Tai\nDM4VgZSZGNVcRXW2sb19/LCLMzESJUE1MBF+NsaPe2BiJKkhSQ1VW0I1llG1VlDinAsqny3KXroZ\n5FP8dISfDsEYVKODPdrFDY/xq1dR1Qaq2gzKX1ILZNDEgQg+B5EoOqrCtm7SUVVSNE/ciJ/njxj4\njOKUArbrhox8xqqqc9UssakbxPIs/fDl55N5y4ScgZ/R9RO+5PiFx3ZJVWirKqGY9azGd96Yx35C\nxIsnW8uqSltVgtNlWWqfexg7T+Y9RWg8Dkq8BFI3tJ6HmaNr3cLpNRZIRMg8ZAsiF8bIPHitaGhP\nfMnz8h2Jewm0hiQOythpuXN+c52bflwEo7HjYN8yHJxV79JKmMh3OqEH7TKIIqFWC71l9YYi7Xqm\nZb/ZZSACnY7m9ocRj3cdWhfMWWe/77l7p2B9I5CPi8D7QAAP9h2f/yFk2i2a8lVQ4q7fMGxsvNjQ\nZA5bQLcbwr1Ho7M7WasL6+vBYOOipZ7nQWQeEC4kT1VvTKee7nFQvewljnEIV1esralFXuFlSzKV\nhB7A80xHrA35h7a4+Pf0HV4NIrCyrDDGBEMTB42aUK+VKrB69vkvG+8ySKXGut7BecfYDXhYfImR\npHR2y0ikQlMtLxwQv02YT76mbkzX7WN9wUZ0navRbdp6jVRV0GgynzNlzMj3zjhKnkbuM8Z+wNgP\nmPghq3qbD+If0larxJISS0oiFRqqTUdtYSRaTBsUCiMRqVSpqkbpbHfAslpfxDicByn/9+mPXkkg\nWo1YUTVCokOf3HDkGReeSAVVrZ0oejPH8czRSRUrkSKznsHMk1lPrIXlVNEu2Z4ilPtUjdCIBKOg\n8BC95BphS4LjOSFIly0DskCGPxMOnpRRAC/qBRMgRpEQlJNpaZd/Hgyh3DF+he6yp8ulvukwZdh6\n9BoddnLmv/P+ztw7+NyeutP/vo14GXmbw2BYUW2u6A3+Ov4z/jL+ATfMzoWIsZgIVWnip0Ps3l38\n4BCpLYXJjC0QHZ0lTd7hx32sPRX468qJY+lwLEohxgTDE5FgWjId4QbHuMEBbtRD9/YRHQezkyjB\nDY4p7Gf4SR+p1AJJFB1IXzbBTwa4YRelDJLWOKNenDkWioYkbOkmH0cbTHxO38/4T9Mv+IXaZbnM\nf/NAjuW2WeW70TrfjzbY0S0q55C4UKaqqUtMTcW0JeWaabOtmy89vh1VZVM12DEtqqcW1VQ5ZkMl\n1CRiWapcN8/GG5yHVVVjUzfY0S1SMQys435mmXmolu05Yxt+hxDOfmQtI+t5nIXy9ZPsv/CZRYQK\nAE+oxrPav9bJ8a0mcfPVWVeSLefAWb+wUHdB4z+pUfWUD5wc014vlEzmRVDfTsYO59OrkLjJODgI\nDodnVahKKqyshMDjy1rWR5GURC5koKWpkM0uT+IglGjevGX49LcFUQwyKc1J+o67dy07V21pTPIy\nl0pPkYcetoMDx1d3i4WhSRSd2Ntf2Ql9eBcpJbU2KIJPHtuF8jSH1qG8Mc89x0ee0ehyrljTSbD/\nP88QZzYL/Y3j0cWV2NMQCQYqa+uhBzCKeGXFcDGWOjmOz5K4YKhzWbfSd3g5RII5Sbt1gdiDr4nA\nAVSkyrq+ysxPObCPGNthSSaaOBw1adKQNi3dufybvKWYZ4llTBm6HkYiltUaa2WvWUSMw5ExY+iO\n6boDpn587ljznrngYDliS73HregHbOhrZdSAZqGdiSb3s9A/SVSu1EfUVIsltYL1BQd2lzV9BeuL\nMrtOn9lmhyU8qsGX36Hye2BUUM06qaJiAvEKippDAc1EBSUtUUyLYHSiEBqRYiye45kLilkEkVLE\nZaxKXt4XqkaoR0KsZOFq+SI4H5QqT5jEzc0xLvuZWeZpjicGIFpeXEYsBFUuTIRCsPXzbnMaISkz\n3Z6ngZ78nN62bw/0nBzL5VU4OH2knh1DEXr4zm87f/uOpkYTiUF7veiTe7rcU0pSqsr/jGjqUuOa\n3ubD6D3+PP6Yv0l+RHTRIlUTo2pLWJvjBkf4cR9lCySKg6tkWkNMuIaIiSCuhJzF6TAYnERJeDyp\nBiUuShfGJ+johMTlU1w2Dk6URY6bjZFsjGiDpHV8PsN2H4NIUAOTCnNHLhEF3gYyl8+QuMLzBCst\niroEy//rus2hGfNP2QN+UzwhEUMihqrE1Ii4aTp8L1rn42iDD8wKLXV+T6NGSMXQVAkdVWVbt/jr\neIcfRBu8rJIoEU2KoapCTtzJmCqMKckin+6v4x2+F61daMyKRFQlIhHDoXPs5o7Me9ajcGB2c0vf\n+kWkyIlS5+jbkwWhUKouNLTQ1KqsnAj9c69zhnzLSVyYvE7GnqMjR/fY0et7BgPHeOyZjEM5ZJ6H\n8rwiD+paCLcOJKPfcxwfOx48sAz6r3cxyjIWRhP+FPOLoqCe1Z4q2bwM4jiQg2oVRsPQO3ZZNJrC\ntoQSzVZLkc1CXtpo5NndLXj8WNMfOLJMlyTk/HGshaNjx6OHwQxkMvGL7Wq1FGvrmvX1V+tfsy5s\nx/GxXxiazPHlFwXOen72s7Ddl1W4bBGCuHcfWfb23RmybovQb5bn/lIKl5R9VUtLisoF8vAuMt65\nrvqnFine4duNVNVY0zsMXY8Hxed07X6wuGedVGpcMe9/68oo51ClFmCISaRCQb4og2yrNVJfY+qH\n7LtH3M0/5fP8X+naZxvbw1gKXU7MHJavit/xf4//N6qqQUjQ0mjRJFKlqdqs6C2umdus6SsoNJFE\nbOhr3Ip+wMB1+Sz7F6pSo6VWaEqbmmoRbMwLxq7PwB2TSJVlvUYqNdSpzMJEC9s1HdwlVVDd1yuK\nqZ27T3raiaKdKCpGWEk19Siobk3nqZmIwvuFc9w8OH7ejz13tkyNkOqgyL3sOM/LfmZlDtxl1wlD\nKd6JC6MjRBjk3j2TU3kanmBWkPng8prKs9lzc5xcEt+Vkr/DCTFrSI1NtUaEYeJnZD6nIOQZgg/l\n0ERUJKGh6rRVi3XVYUuv857Z4Ybe4brZPqd47wXvndbQnW1UvY3PpyAq9J0pjaq18d6jGh0wBt25\nEgjU/M6tNCLBZA5nQxSBNqikhlTqpZqmQiRA2sB0dhAT4/MZurmKVBr4WhtdZIs+ufmkQWrBIVO3\nN+HWnyNJNRisJNUX9sTNkWN57AbcKY5oqoR/H1/nmlniql4iRhOJpq0qdFSVNVU7Q7CeRiSajqqy\nqmpYPAM3xaBYKY2jXkSWtUipvJ/1nYxFs6JrrNgqFsfQz4hEv9KYUTmmElmQsY4JxcLHhTCwocfN\nwWJRqvDzxS5Bn+qla2lFQwtT5+laz8T5Fzp2vgxvDYnz/sQ0Yj7xnEMpXlqrH8Y4GWse3D2beY6P\ngqHIgweWx48te3tuQeomE89kEgK3s9kJobOlymZtIBzeX1xxex6yLJhMTKdn+9WiKJRB1qovzuq6\nCKJIqNeDmcLrlBJCyP2q10Me2dKSYjj0ZHlwZ5xOQyh2v+eYTv3CjOE8zK35790rODy0TKcnf2u2\nQnD4+rqm+gr77xyMR55u1zF7isTd+8py76uvV3qyNvTh5fnlvhfzUs2lJfVSJ86LDXh++fpCYX7H\n4r71SKXKmr7Csdsj8zP27MNFH1hFqrT0VRpq6dzXOm+x5e3H45j5KZmfUZAHtcjb4LjoxmVVSFCO\n5hlqlITHlWM4HJmfkvssZK55h6VgxpSpG4fe23neWjlGeJ1d2P6fbEOGDd5gFD5n6ieL16hyjPn/\niyWhKg2GvkvfHXJod1lV20QS03dHPLH3eVB8zoPiDwzcMYvJ/bwKA8GV9ge+jBR4Yu/zsPiytGeg\n3HNDXS2xojd5z3yPitRYUqtEkmAkZkNfYxqN+OXsv3C3+B3LeoOO3mJVbZfjWzJmHNtgONNUy6Sq\nSizpmUlhooWN2smF9enT+PSVo5OCb5x9fLVy9nd/6nWXUX2DkYVGI8EAZEG6fDnmxQdVEghhXBI5\n7z0TPyeGz16w5s5wlrDSPfNBZayUhiXPw4n+9I7Iva3wz9xE32QP90mBrPhQttuSGjt6jRhNzw+Z\n+BlTMqy3gMdgSCWhpZqs6Q47epPb5ga3zHVumB22dQgVfxVlUyXVoKJ5z8LVTc63jNbLm6j2RnA8\nLLc9nGMl8XpqzxbbIgqfanxaRS1vnPOc8KMWx1cW56xeWkcvrZ088yXn8vwzy73lsR1yx3b5wKzw\nQbTCn8fb/DjaXox90aMUi2ZV11jXdR7ZAX0/wwM1FaPLK/2ZbeDEcTRkhD5bMpyKYU3VWNU1HtkB\nAxeyIV825rzE+/SYoYc2uEkua8Ej1JTiWEKfm/PhOYYTR0olwdhkbmQSCzS1wnrHzAc3y9fhFm8N\nicszGPQc40Ho4clmnqI0q1jf0axtXUxO8R6Oj0Pw9YMHlgf3C548LklbN5g+jEahX2xaKil5EXqG\n5sTNuXBQnTshb2+inygEBHuK4uxgSgXyZaLXK6eajxUyweYn5+tv+PKy4tYtQ1F4xmPHtAjHZjjw\n3LtnWV21bF/Rzy0FLYpgyf+Hz0Iv3NmxhVsfGDY2NfEruCd6D0UO2exPUyo4L6e9LEGaZ9JFUZlf\n+Ma38B3+rUFjSKVGXS3RUG1ilXDs9vHAB9EP2X6BErdnH7Jr73Bs9+i6Q3plRtoTe59jt8/MT/n/\nJv+R32c/R4umJi22zXus66vhvSThQfEFj+yXDEoTlWP7hCO7x567z8B3+UP2SxT/Kw1po0WzrDfY\nMTfpqE1qqknmZzwsPueJvV+OccSR3ePIPeaJvc/I9fjX7O+Z+QlGDBrDprnOFXOLlupQkybLep3v\nJX/FbnGXsR/w2+yfeVh8WUYAhOthU63wcfwTPss/Yc8+QEpDg3DbLribf8pvsn9k4Lp8EP2IWFJq\n0sBIGcxbPnfsBhy6XXrugAfF5yRSYV3v0FQdlvU64Jn44WKS8evspxgiDHF5nQ/b4/HsmFsUPud1\nrwRPv/plv78qaqJZ1wlNa/B4+j7niZ2xpzNaylB5iVnA09uigLoYNnSCAI/dlD03IztH3yvwjL3l\nyOX0Sse4mgR3zPoLVvff4ZuCQG68L+DMuVASAdEgGnB4V5SPhc/dl9ltIqZ0ZbT4udmNt7iij7cD\niNpos8Qt3+I/uOuM1HUyk2DFUCi1uJUrFAZDIjE1qdJSdTqqTUct0ZSXOLldBBeY6DngsZvwxE6Z\n+oKZt6Wlv17EUHhCSV4iipoYPCHgPisXODyQeYv1HlP2sK6qhI5K0MCz676vdoWYOz8O/IwjN8bh\nqEtM/ArXgdOoScxN0wn9dW7GPdvlk/wRWoQN3WBN1YLahiLDMvOWrpvQ9VNWVJXruk1TJZhT1Kwu\nMR+YVaZlXMCeHfIv+UMcng1dZ1XV0WUu4wy7iBU4dhM2dYPrJgSAG4KCdi0JBfVVFY7vtUTTNiHL\nsuzQOuELEkiWEcH6oLgtaUVbK1IRakqoayF5SfzVi/DWXPnymad74Dh4bBn2PaO+YzL0wSkw4kIk\nbk62jo8cv/1tzs9/lvPJzzPu3StKhe2PsCMvgC1gVuZ4nVEadXAqjIKT7GtBqXC8tJY3xgyWlxU3\nb2mOjx3371umk0ByByWJW18vWO4ols5f5Mda2NsLrpRPk7h2O/TdbW4qolfoB5xbts9mF494eJOY\nG9tcpI/kedAm9O5p9eY+q3f4twuFJpUqdWnRLIlV1+4zdRM+iv+mJHHnn6T79gG/yn7K3fy33Cs+\nY+iC8Yf1ORZHj0P2Jw+JJCaSmDV9hR8n/wMSC1pC6eG94vf8fPb/sFvc5ZG9S+5nZH62UOj+4H7J\n3fzTxRg3o4/5y/R/QkeGSBJGrscf8n/lN9k/slvc4cDuLpS4uUL3r7O/59Psn4kkJibhz5K/RaUK\nZRSprrKs1vko/msMMZ9k/5n7xR8YuwEALdVhy9zgz+K/45b+AV13wKHdXawW23I7vyo+5b9M/3eu\nm+/wcfwTrpnbbJrrpFJHECw5Mz/hbv4p/zD9P3hi7/Gw+AJDTEXqtNU6y2qdpmpjsRgiPss/4dfZ\nTxm6LiPXRxMRS8KSXmNFb9JQbQqfv1bP0h8D1ZLEtVSE8yfh3/t2RloaaFwUc1WgIZoNlXLoMp64\nGfsuIzvHqKTAM/AFhy6j5wqm3lEXzZZO3pG4bwO8w3uLd1NwU55WirxEoJJA0OykdEVLCBb6U8CD\nSkEM+AzvggW4dzl29gg328VU30fpJh+4FjfcDXS0jE62EdNEVHVBCr9+XITEeZ7YKb8quvRcRs9l\n1MXQkLjscVRl+Z6jIYZVlWLL14y9JSpJXCB1llQ0TYlwUZOGiol5vaRQX25jjqXvpoHEeU9DJcSv\nGDcyR00ibuoOznt+lT/hMJ/wSf6IAzfi+9EG343WSDAkohm6jKHPuGe73CmO+TBapSUpqZjSRCoc\n44ZK+MCskGP5Zf6YfTfmZ9lD9t2Ij8w6H0arJBhiNAOfMfQz7hZd7tojfhBt0lYVYqXRItSVUI/P\n7tu1eN7jfKIfywV+b2thI1KnSr4vh7fmymctTIae/pGjd+SYjqHeFFodRbV+sa/a413L558XfPpp\nzm9+VfDFF4E05HlQjuI4lO+1WkKzGQwlKqlQqShMBJEJE2utg0qiVCAqx0eOhw8tX9191kTjTeFN\n3bpFQKtSpX/NceZoLytufRBx/747k0E3HASTko0Nxc2b55e/2CIYmuzvOb66a+l1w/OiKPx0VhQ7\nO5rljnrGlONlOFFJz7732ppifSOUKcbxq2XEXRQbG5rtbc3m5uXNaJSUpP3tnrf9SeF9ARQ4e4S1\nT8LNGY9IgpIaohoo1ULmTljegZ/h/RTvx3iflc9pEC53+mRS4LPyZ4x3I0QiROqIpCBRWPn9BmG+\nXy3V4ePkJ6zpK0z9GEMgTA21RCznN5Sv6iuB6On3+cgdkPkplqIsbfRnShe1GFTRQPrXuZut0zcJ\ndSMU8j47Smj7Ltf8Mb1pTm+Wk0RQiTxGaYxobKHJCsV6tEGd2zjboUfEqKijpt9lpWjQMV2sHpC7\ngsxaBpljmDkasaEeabzXeKe5od9jXb0HWYuHU0HplEa6ye34hzRUi547JPPBhTKVKg3VZsvcoC4t\n/l36H7gZfZ8Poh8iKKZ+zND1GLkB1hdUpcGWucGK3iKVGlGpxM2NDmqqQV216Lla2acVCOv8c1Be\n09EbCEJLrXAj+h5ZWSIqZd9dRdWoSQgXb6rlU+Wpz/mMX/j5X+Zb82poKsNVKlzTFTZ1QuYdP8u6\nDFzBd12DbZ1SFU0sYWU6wzFwBTMc6yphVcdEqGABU27whk75cdziN/mAT4sBnxVD/j47Ys/N6KiY\nBEWB59DlfFYM+V0xZOgLNnXCVVPhhqmy9Aoh428b5pYaHsrVek/mHYUPEQxWPHlZZjrzLhQPy/NN\nRr6R8AV29hA7fYS3I7wdIbqG0jW8z/FuBmIQleBdFv4uBjEtlK6CihGJ8WoG3mJnj/F2iE6vopJV\nJAvfD5sd4F2By4+gGIKpI2WZYohX+iMczwu+hxBs/KtonBhQwZVVC2UQtUNJ6C2tiqGjEgo8PZcz\n9gV5WX4coxZZfg0VuvjyUqmLTn9/XnHfg5IuxBhWdI0N3WDXDfi/pp/xL+ohK7q2GF2X6lldxbQk\nZUs3uGbaNCUJBfXzayaKqkRs6QY/ia+xJCl9P2Xscz4rDrhvu8z7GoPiNTdHCudFyCY8W1KpUdQk\n4opu8rfJdVZVlb6fMfE5nxb73LXHZ8Z03pdLhsG8JZxvczX4/GN0mpydPj5P/85Tj72mZgO8TSSu\n8ExGnv6x53gvEK/OmmFtW1NtXOzLtbtr+Yf/OuOTT3I+/7zg+Mgt3CNFgg376qpi56pmZ0ezta1Z\nbivabU2lKlQqweEvTkq3RwMPHzm+/KLgn/5bxuGh+9pIHPBGJvNzy/7XUGefwbyc8re/yc84Rw6G\nnq/uWra3LOPxsyun3gfVcTphQeLy/ITEVatCp6PYvqJZXn51A5L5Sfz0J7K2rvj+xxFL83y/N3Gm\nPIXWkqK9rNjc0sSvHpEEnHxWf4z7xjcXFu9n2OIRefYrvBvg8SjVQOs1lN5Cohihcur5Y5zr4uwh\nzg/QerskaCmnrbbC5GCIc4c4u4dIFaU3UEpKAvfNInFztNQKP4h/wvfjvwkLHBKssdULXNRW9TYd\nvVH2vz0/mnfe4XA09vy87/jy0HMQKeqJYqklOdiBAAAgAElEQVT6HjuVGyjl0crzeGbZHTiWKsKK\nUsQIWsGw8ByPPdVIU9cRzmp6VhhlBhl/xKr7kLWG0IqE3Hum3vN4atkfOVZqilWtmeaeaeG5msas\nS8JRDo+6jkaScD3ZYCNe5/3o40Dq53tS9uHp0jhkw1zDeYeR4Ag39WOO3R5j38dSUFNNtswNOmrj\nzJq1Ls1LqqpJTS1RUaG8Klv01AQoNB21QVutcSP6Hg5bOh/7xXEUWSTEvfDzeVvQkIiKNlzTEzZ1\nyh+KET/Luzx0U0ZY+r7GioqpiSHzjpEveGRn9H3O96MmVaWpCWcymjZ0wp/HSxy7nH/OjvksHxIh\nHLqMD0ydphim3nHfTvhpdsznxQiNsKFTruoqN0ztmb6WbxqCqgF5SeDmOXWW4HIXSJxl5t2ih/Bb\ntf7nLXb6kLz/Cb7o44o+Kl5Bx6s4O8EVPYQQ3O7dDG/7oFJ0vIaKV1HRCso0wGmcHVGMfofLjhDT\nwlSv41QcFnzzQ1y2h3cZuAzvlk+dj28fYkKZ5JwwQfjMLZ4cR+xDNl9NDCsqYYbjkYSy0KK87lVE\nUxFNVQx1MRikXJ57/YmRIME4RAUS96Do8S/Zw3BNOzWxSTCkYtgo7fr/PN6moRKqeh58UfblIVQl\nYrMkcdf1Ev+cPeCT/BGf2QN27QCLo/COikTUJGZD19nSzQWBU0850c7H3FYt/jY2izF/ke/yVdHl\niRtS4LDeBTfN8v23dLM0Spkvrb3+t+Tr+J69NSROaSFOodYQ8pliNg19cUd7lmb7xV+2wSCYlHzx\nRcFnnxU8uH+Sxab1Sfjz9eua7SuazS1Nu61YWgqW/HNXxDgG85Qa1x94KpVgAf/a/Woa4ghMcKhe\nwLlAdp4us7wMnAtxCNaePwm7DNJEWGorVlY0a2uayTj0Fc6mIXB7b89xdOwZDh1JIqVaF3rWDg6C\nocnRsSPLTiIP2suBvK2th3Bv9YqsUwjKaZzMg5RP9rbVUly7FvrsVlZeXeG7CNJUqFSDMUn0Cr18\n5+EdiXs+fNkjcaKsTUK5TPl5n6hq4TnOdrHFVzi7j0gMYijyLynyzzHR+5joJt5ZPAW2eIDN7wQD\nC4nwfoItdlG6g4luoXSHoNx9DasAbxA9N2bf9dAoVlWLVCIy75j4nIGfkPmCioqJMYz9jKnPWVI1\nlqTGlIyZzxcWI1MyRm6KFk1FYmqSUpOE6Kkyo1gsmpxYFazVNat1zShz7Pf9oidgZiEVjy+E4Qjq\niaKRCsZ5fOFASbAIUUJhQ+N+YTXWaiI0McLx2HEwdMyspyLgcqE3DItURiDLNIcjoTcJpK4aKyhv\nvIbohXdNjTnxNfGOqCyHVBgKnzNyfQ7tY6Iy4FuhS8OVCSPXZ7e4wxP7FX13RNus0dHrpKq6GD8Q\nNM2ZbLhv+LmuBCKEHV3h75IOGyrhjh2Tece9YsyRy0jLVXckNPpnOCKEsbHnTobqYthUCR9FDXo+\n59BlZHg+K0Y8tjOiUtWb+NADs6VTruoKN02NG6Yawnb/RMfjdWC9Z78sH31gpzy0E3IfcvM+K4bc\nt5MFafPAyFs6KkYjLKmIq7rCpk7pqIjmN1iJnENEh2u2WULrGqLroFLEO5SqgChEIlARosuySYkR\niVBRKIe0JUlzdhxKM+0EV/RxeRdfdENPnWiYq3v+JP/2bYNCaKuY66ZO5u2ZPlFHUGm1KGIUbRVT\nEUOM46qu0VLxImA9LkPYgyKnqYom5fmOri/D/GgNfcYX9ojPi0Me2j6pRNyOVvlutLYwBHl6Fjrx\nBYduzB+KQ5ZVhcxbrugWrbJCZH4/j7xexBDksWNZVzl2E7puig1LjcRlWWVLpSypCtf0Eg0VlL3T\nF9r5mDGapbJix8aeVVXj2E/pnTNmCA+vcF2HfrjzDFNO4095/XlrSJzWUKkJjXaoAxwPgvnI3iPL\n6kv64fo9x927BZ//IZRQ7u5arD0xDFlf1/z7nyT81V9HbGyE0r1A0uSMGrKwaefk3yiSk7+/gX2M\nYkGbszed4KQZIg5eJ9ftZCwoXiG/7mWIk7DdnRXFxqai11NkmWU2g/zQsb/vOD6yDIdmccwh9Kzt\n7Vvu3Ck4PrJnetc6HcUHtwzr6+pSBFkkGLgkiQRSfAqtVsice+89UxquvOYBOAdKQojznOy/w9cF\nB74IqpnPAuGa+z9JFP5FgS9wro+1j8iz3+CKh+joJtpsYPMvKIovAY/WV4EM76fY/A7Z7J9QahkT\n38LZY/Lst0HhU0so1Sy/mG83ieu6Eb8rHhBjqEQxRhRDP+XQ9Xlkjxj4KR3VoCYp+65H1414T68T\nGU3Xjej6ERGaRCKO3IAnrksqMR1psKpbREo/Q+KEULZdiYQrS5prbcOvdnMe9goyCzPraaWKVipk\n1jPKQtN3NdE4D7kNmWZahSw0pUrl3oa/zS8HByPHF0cFrVTRTIVJ7ulPPfVEqCfCKPM87jumhSd/\nDaMhEGJJaUiLSCIKcvrumCfFPVKpEpeh6ZaCoe/yxN7nXvEHHhZfMHEjbkc/YkVvUXkTpgdvMeZr\n5jsmZUmtsKMr/HPW5bNiyAM75SgPhiMWT4SiIoq2itjSKVPveGr9Egh9dqlWfEyThjL8Oh/wSd7j\n82JMz+Vk3hGJ0BDDlk65aar8VdTm+1GTlore8rPz+bB4HtkZv877/GN2zH/LjhcZfFmpvM3LtB7a\nKb/I+ujyRrmjU34Sd/iLeAlj6t98EicCkiCmgVIxqAgWk/FgwSFIyFOTCJnvr7egq6ioA2Lw0/u4\nbB/cLCy+uQkuP8Llx7j8CNENxNSDO6TLgoHKm5oovWEIsKxiWipaOCbOMS/7kzI6ZG7M4dHcMDp4\nBJdVGPNSwXn5bVjmev2Fj4Gf8fPsIf+Y3afAEaP5XrTGh2a1jBZQi+2e+oKJz/ll/pifZvf4ojgk\nkVARsaQqtDhb5q9K9SzRhraq8P1oI3QsLz6rsgS2VPxCXInmRXRrrsil2rCsqvwg2nztMd8GvDUk\nThSYSBZ5Y7pUWdKakL4kR6vX99y9a3n0MChwcwOTak3Y3tJ8+F3DBx8Yrl83NFtBfbso/JwUvQGV\nLI6Fek1IykiPOYoCRiPPZHK54OjTKPKQizebefyLwnZeAXOVbGlJuHHD0Ot5uschWsDaoIQ+ehhy\n4IzRVMvF6DyHvSeWu3cKut2z29LpaD64HbG+rjHm1fvWlAo5a42GcJicfXGehwUA54Ji9kYs/N/h\nTwLBgKQoVUOkhhAhqorSyyi9htLt0AvhM5zdL8siY5TZQpstlF5D9GPEVsDPcG4P7yZ4P8Taxzh7\nhPcWKeo4e4Sze4AOJZZuFaVapfL3x4X3lswdkLkDCj/G+jGRNIlUCyMtjGqhyu2yWKY+TP/mBv2Z\nL5j5orTqsHTdiIFMGLgxYz/jgT1k5Kc0VJWWqtJzIx7b7kKps97hxROJYVk1nt0+KMkYdCeOSmSZ\n5B6tICIscmgJ5j+RgopRVKJyIiGBuDkHvamjsLKYnmgFhYNR5vBesA5SE3qArIPEQDVWtCuKdlU4\nGDnu7Rc0EsVaXdGuKqILxNGch0hiKqrBpr7Bd+K/oCJV7ha/49A9LjPiQjBw5qeMXD8ocGqdLR0y\n+Dpqg4rULvXeXwd8kYdg36Nd7O7nuGH3/Cdqg6o0UPUl9OoOurP93DHnU7+0VFCv6wo29qzpmH2b\nla6RYWIUiSIWoSkRy6VyFJfFrGfevpwwtVVYbdMINdHsuYyBK8hxmPKxVZ2wpVPe1zU6Kn5ugPVV\nXeFvk2CQEIvipqlROUdRF4Jz3JqK+e+SDtdMlY9Mgx1TofGS874mmg2d8MOohQAbKmxbKs/alp8H\nBSwpw1VTYeodVdHnRiuch46KuR3VWFXxGTOZ+URfi/C9qMH/Utnkmq5wzVTZUGkZkH4Srh6Owfnb\nGomwpAw3TJW/izu8r6vcjs4uUrxnqvyPyWog6iplQ6WhvE9ptnTK96MmqShaKmJNJy/YI42KOxh/\ns+x9Ozn23mV4l4WtnCtp88/GW2Su2olCJ+uAoJOQY6TSbZRuoNPtMKaqILoCboa3E3SyjjL1oPC9\n4Ym67R7ijp7gJyN8NkM12+iNq6jas9fT8yAimHAHfAYej5fzP8P5dQo53av15vbNecfMFxy5Cfds\nl/u2x03T4ZbpcNuscst0Qn8aJ26fWen6eOgmNCTB4em5GX03I/fPOtOdlJmH7Lg3ASmvM/oNjvk2\n4O0hcRLKDed5cEpBq6NZXlXUmi8mXf2e4+4dy+Ndyyw7uQg2G8IHtw0ffxxx/Yams/LqfVfW+kV+\n3OtyojiGeiOQCnXK/j/PfYg+GAYjkNdBnntGo5Cd9rqq3tNYaitu3jTs7VnufHGy/eOx5/79gq1t\nRaejWFk52Za9J44vv7B0u2c3prOi+OC2YW39cmHcSgnVqtBqKZLk7NiTSSjzHI0czp2+Xb3DNw6l\nwYioJkovgc8RqaP1GlpvovQyoPHuEFc8xtn9QPDUKtpso9QS3h3h3QAQbPEI7walareH9xO8cxS5\nwvsBzg0Q1QiETncRVeGk3+6PB49lYh8wyH/N1D1mZp9Q1depmfepmhtoVeV5l2/vPUXptRhjiDEM\n/YSJC5ktznse+AM+t4/4i/gWt9U2XTfirn2CQtGQChbHkRtSlYTcn3NRKt1ZJ7nnYc8xmHpm1lON\nwrVNSSBjuYN6IixXFbEOjyuBxASCdjhyjCOhFodV90iH0sre1DPMPCLQqaowloVmoliuKlbqitWa\nYm+Q8dvHBTdXDB9tGNbriuSSd7WIBCMRV6Pb5GQ8KP7AnfzXDHyPmR/j8Wg0sSSkUqWt19kxN7li\nbnE9+g4dvYl+i/oofZHhx33yO//K9Kf/keLR5+c+T+IUvbqD2bpF8oP//oUkbg4FRKiFU+VHpkFe\nlnidJgmClIG5EhQ3ef6adk00iU5pq4jbpn5mPOEkeDcWIRVN8oL18dumzrYO560AqSiq55CysB/C\ntkn5n9U6s5JMpWUJ2ovQFENFa1ZUzI+iFrEoGmJI5GLxzxphS6d0VMx3TINpqbxdBKbMx0t5djs9\nQbv6i3iJ75g6iWiS0l4+qDWhHO90n9V5iAh29C2JuKqrZN7RUmeP4XdNg6u6gkEWZXsJikiEVGs2\ndcqP4hYaoalecGKKDoQqWj79YJgYnu5rPWd7RXSp3Am6ch2dbpevkdLwxCCmCdUbgCrLKW34UTGi\nkvDYG54nuMPH5J/+C/ZgFzfoYq59QFJrXpjEvQwX2dqvY+ZT4Bj5jCM3ZtcOOHQj/p26yl9GV9jU\nDdZ1Y6HYn2hcgXjetV1WVJWen5GV6tzFv/XvcB7eGhJnLUzHnunY410odXTOk2eB2JxWwZ5WbabT\nECswGJwlQUkqrK1rtrY0zaZcykVwNiPkyw3caxOsSkVY7ihq9bNB3NOyt+y468jyy32hrQ2kbTL1\nDAae8cRj3zCJa7UUN97T3L2rSStBPfM+kLgH9y1bW5ZbHwQZ39qwX/sHjocPLINB2K80DeYxKyuK\njU1Ns6kuFaugddie9XXN/ftnV3L6fc+DB5Zr182fJH7g3xrm2aVfR6h46EdT4UZMFFYfJQJiRNLQ\nQxG2AihvzBhEpYhUSjOTiBOTktAP530WHC71GqKaaL0BFGhzBaXaKLOByPOJ0tcNj2Vmd+nlv2Dm\n9pjZPcBiVI3Yr+C9IyeobQM/oe/GJGLouzEoOHIDjt2QnKDG5VgyitJpS1EhpiIxHjh0A8Z+hmLu\n0BXISkUMqcTocyazsRE2mwrBkEaBlM2vrkqFCXdmQ4ljMxVaaTAY8gSnykoUSJwSiDRU43DbTyPI\nCnWmfN2fKr9sVUKJZiUKk9E5IayWRDCN5FKmTrJQdBTLah0feVKpUpE6A9dl6kfBUAdFLCkVqdHW\na2zqG6zrHZbUCrG8SGn4E6BcGZU4RdVaqPoS3jkocnw+xc/G+HGIX0AbVL2Nn00uOHQ4Wgkht+pN\nYK7IJaJovuZYNWWoXeDcne9HiiZ9xdXE0HcZjCOWL3EPE5HwvqJpvfrLgRNjr8IHxT33jpGfMSWn\nJglrKgmLKuV5nVMwcTkjPyPG0FDpwmRmruQDZV8ReBxaPEsSCvYcjqnPFz1PqQRV4+TaATkFwfAi\nuB9WJOiSptwGeFYZknk55Znr+VO9LSc7/Zy/+6CyLRbdTvVFqad6Kp47xpuDz2e4YQ/XO8T2jlDL\n66FU6g3gZcra19kletLpK6VLpqXvZhy6MTUV0/Lp4vtg8VgfSN/QZzyyfY5cuMY0dUpLpXxzC6Lf\nDrw9JC73jHqeQdcFm3wD05HHFY6llUDsZE7vn0JQnzyTqceeksviWGi3FcsdRXLJkrrJxHFw4Oj1\nQij466BaDeSl0ThLXKYTz/6e5fDAks0uN7a14TiMR55e1zEeedwbJjCtlqCvGzY3C6qVYP5iLYxH\nngcPHJubltHQl0YtnsnYc3hgebRrmU3DqnqtrlheVqysKjrLilpVLkfiDCwtC5vbisbvz3623a7j\nzh3L7Q/tOxL3BvF03+gc88w8/xqZeRfcAmBeevfUO4mUje4GcGX4q+WE3GXlE2MgCs3wqoNSTbTe\nxkQ3Q8aQL0onyxoiCcjX0FB5AXjvmLpdBvmvyH2P3PWIVYeK7mL9BAglLT0/4tAOOHR9YgwHus/U\n5+zaY3p+hCknaM67U6U3sK6WWNUtMl/wefGIic9oSa0sv3RUJKGtarRVneic20Q1Em6uGHaWfOgP\nLUnXoqcYsD6UTBoNsT5pMC+cDz27sFDmtAI85E7hPJyOTpyXbjoXCF+shXHuGEwdRgtbLc1KXZGY\nyxG4p9FQbVKpsqI2+SD6IdYHXfOkZ0KhRRMRk0iFWCpEf6LvyYsg2kBSxaxexX/nb9DrN/D5DD8d\n4vqHuO4Tiid3T4jcO3wj4Uq3vik5Qz/jie1z5IZs6iU2VSuYBIkOLpdYDt2Qx7ZPU1K0tKlJgiDY\nskzO40nEoBAm5OTeEUuIBym8pfCORAyJmEXZthFFLAbrHQUOhWBEL0rvlAhVCeZKF8PLTuQ3QVLe\nVehcBhohFUNNYlIMHs8D2+MX+e6iNy6WYE418wVTCh7ZPvdtj0+yR9yxR2zpJhsquEpW5Bvez/kn\nxltD4kQJJhZMJOQzT1F4lBKUoSyJez7CJLIsH3xKsZsbT7zqQktRePLcc3zsefjQcnBgybOXv+5F\naDQU29vBGfO0Y+J44nnyxPLkiaPfD71m0Tyw+4IYDh1Hh47DQ8dk4t9ID9/TSJIQTN3pKFbXFIeH\nin4/uE4elS6VvW5QREej8Hv3OBBs78IKfbst3LihWV1VpJXweV8GxoTtuHo1HM8oCoTSORj0g/q3\n+8ix98SiVCDQxry7aF8WcwOg8wLpQ4yEJ8u+zh7xGFF1vD3CuT3wM8Cj/Qai2ggxSnXwehpcKov7\nFL5AqRbOPsH7MWAWPXROVXD2EG8P8X6C8wPEFQSj71ron5CEP/aN3vsyPtUPyd0RU7eL9ROcn+L8\nBEeG94FQhNVwTVNV2dErGDR1qVCRmCVVI/JmsUqe+4Li1Cr7mmqxqpt03ZieG1GVhBWa5FhyCqqS\n0pZaGOccpcVo4f9n772eJDnSbL/f5+4RkVqVblGtGw25sxix9/LOzq5dM3LN+E7+kXwhH/hC4xp5\n797d5Z2dHQkMNFp3l65KLSLC3fngkVnVjdYCaGBwYGmFzoyMyIiMjPDj33fOaWhZfN+L9rkTh8v5\n43iXk695L7hHPj+PDSnOt8c8L8DMCtZ7GiXh0vJxG+WryHmKJSGWhOpL14O+YyiNRDGquYLZfAe9\nfAafpfhxD3uwRZ5UcP1D7I8k7htw3pOSkfucudmBEUOEDhbn2MJMQhetYm7RMnb81xeVsuPqUyQG\njVqso+eG9N2IiipTlRKJRCTEDPyYIzcgEk1dKovtaFFEaHTxm8yxDNyUoZ+ResuYlH03YM8NQzXG\nQ00lVCWh7yccuTEDN6Hvp2SSE9lgaOS8Y0bO2KcIQlPKJGKYnbhuQCCMvnBF1CjGPmXsU1qqwpKq\nMvYpR25cGFPEmOJzlolInkVb/Cy/38cu8xy//R8toV8Y4TzWNFSJy2aJPTciFs1d2wfgyE0K7Zkq\n7ieOIzfhwI6Z+IwNVeeSXuKSWWJD1Sl9B5rz50Xqc1KfM/RTBm7ClLSofrtvOHA+DhuqzYZuP7Kz\n5WXwxhw9E0GjLUzHwu49x6DnqTVCNU2bB41AHoaSQHi0mt/Ew0F1DtLUM5vx3FWp2Szo1HZ3Qsj3\n7k4gKy+DufX98nJGFAsiHu+DEcn2tuP+fcvBYdByVavPpxU7PHB88UVw5kxT/1oG00pBFAdt3Oam\n4ejIMZsFkjYcOo6OHIeHjr1dx9Gh4+4dS7/vFuRaKVhZ1Vx727Cyol9q1twYWFnR5BksryjKFWE2\nDd/1cOhJU8ud2znXr1u0Fk6f1q8lauAvCSYq3EAfIsNpGlp4JxP3ynWYc4gqofQyzh4Et0k82m5h\n3CWi+H2U7qDNGRAhm/2JPL+JqLuIVPDuCO+GiMRovYHXGdqnpG5Mbrewdoc8vxe0FT5Hm7NEyYdo\nU+LYIe3bgsf6MZk7InN9cjfE8+iLVyyGllRIZJ011UKAmiqhUSyrBjmWeZPgSXczQYqZ9Ii6VFhX\nrWKNgisqcUZ00NOJeWQl7mE86gg9TOpO4nG//ce95+Hn59W7lapmvR4qg/GPkzQPQlTRJtlC4hLe\nBvtjP+4jtTZ4T37vSzi4911/0jcODsfITRj4cdE6pqmpMpFUSH3GyE8pSUxFSniCBtX5YCo0/w0F\n5zsbTILwaNHUqVCWmIyckZvyZX6XL/I7nNGrnNGrLKsGkTLsuEM+yq5TlwoX9DpVKRcVsoi6qiy0\nlzNv2XF9du0AkdBW2XUThm7KDjD2Kcu+xoqqccsecj3fWxAsJ8E10BYtkiM/Y+BnRGjWdYOWVBAJ\nUQijwvBoTt4yLJm3DPyUoZtx3ixx1ayxZ4dct3sI0FIVmqpMU8qIqlLzpR+LXz8ACGEisK3K/Cw+\nQ01ivrKH3LJd9rMR/57dJfehOqwlJGCWRFMSw4qqci1a4apZ5t1olVVV+16QuKnPOHRD7th9vsq3\n2XU9Jm7GjHzxu38SBPjPpfdZ1c1Fq/Krwhtz9JSCuCRU6kKjrTCxp95UNDpCuaKeOHFiIqFauFie\nrBKks6A129+3nDr1bAcuz0MVa3vLcetWzldf5ezuhpDvlx2gViqC0oqVFcXysmI6CQQozSC3np1t\ny5efZzQbwuY5w/JyaLt8XIaa96H6kaaeO3csH/0x485tS/qSFcPHYf45mk3FufOavT3N7k6ovDkX\nyNP+nuPePcveruXOHUu/f9xjp3UIW3/rWsTysnoiMX8atIZqNcQenD6juXDBsL1t2dkOQfFZ5rl9\n2/L736XkWXBqWl5SVKrHJORpk3HeBzLsXND3zd04bR6cT+t1ea5q6fcZSkG5JNQbQvyQ9Gc49Gxv\nWw4PHOOxp1bzGPP48/ZFIFJG6SWUXkHpJbyfIcwdxQSIENVCkaP0Mt51C42FBtUKkQF6BVF1BAc4\ntF7B6tVCH1dcCkUVM0bfzffqsWRuwMztkrsensdrKIxoDJqSxLTVg65xdY5J25Mcyh42/j1pS/G4\n95zEk35Dj3vtVTxvFJSNkBihHMvCev1HHCPojEIvq8THFt4uLqHTCbbWRKI3rw30u0RoKUwZ+yn7\nrkfPDUkkpiQxkTfUBIZ+wq47oi5VlFKkZPTdCEEoS0JGTt+NmJGjEJx3TPwMJYozeoVIWmQ+Z0rK\nvutxI98ikZiOapASrJ1HbsKWPWAoE+pSZigTJn5GVcqckVVMEQzv8WTeMvEpqQ8OgNOidTz3likZ\nfT8B59m1fbZtn6qKicUwKzS1mbdMSJn4jKnPiDFMfcaYdNEuOfQzJj4lomirJLRVzt/TcxP27IBd\nN2Db9jAoHJ5INC2pEBXtmY+7nvg8CwYgBzuozgqqvYqYCLTBj4e4YQ8/GeInI1StgVo+hSqFY+Wm\nY1x3PzhAlqtIuRrOd61xwz5+1MdPx/jp+FjAHcVIlKBqTaTeQuIYtFlkgnprIU9x4xGufwDWolpL\nSFzGDY7wwx4+T0MbilKgNKqzim6vBK2HevoMvLc5Pp3hJ0Nc9wCfTlGNDqoeJl0kKT11Hd8F5jrS\nChEXTSdEAeSGSBRdF3LXMiyZOCIURjRNldCSEud0m4umw1ndZF3VqT6sVXxDcegGfJLf5Wa+V8T2\nTLBFJc49QzVOkIWD9KvGG0PiAJz1xImwecUQJ0IUC1EC5cqTb9DlktDpKBp1hTHHs9ajcRjIr63l\nXLjwbLs6ryx9+mnGP/+3lE8/yRgOXk2FwURQVsLySsgwy1K4ezdnMglEYXfX8etfZ2R5aBes1aQI\nwn78OofDUP364vOcf/tNyt07Dzp0vg40msLFS4E0ffbZsdvLbObZ2bVUbwi7u5a7dy3DQThwSh1X\nz65cNSwtvZihyUnMicWFC4Zf/E3Mb3+bsrN9/EXduW2ZzWb0+0HPeOVqxOamplZ79kiDPA8keWcn\nVGMnE89kAufOaS5fNuhv37jwO4FSUK0FTWflod9jr+u4ccNz967h6NBRr8k3zHteFiIllOoQxW+j\n9Soei0iCSA1RTYL5SYRSbeLkJ7jo0vydUOiYRHeKfweSpqMLJKoBDxAlQakaojp8+1W4OYk7ZJLf\nJfevps3teffg+xCdHGtBJaH74hXOFfyIv3Dk5By4Pnuuy4HrM3AjmqpGU1WpUwE8R37I1/l9VnWb\nWAw9P+J2vk1ZEs7oVaY+5ev83iLCA2DHHuEJkR0NVV1U7jKfMyPD4tCob7hFzkg59AMyl7Pjjuio\nOhVVoqpLGDQaRVUl1HyJbdvjyI+IMTRUiYoE86LU52y5PgM/CxVs1MLsBIRIQAqjI4VQIqKjqmgR\nBnbKoRuRF4NVCK2mkWhKKqJBaWF0sfPNni4AACAASURBVO+G9AvTClNooqqSsKxqtKXyxHZKn85I\n//T/MfvN/0Py4a+If/p3qGoDKdew+1tkX/8Ze+9r7NZNzIV3KP3yf0atbwKC6+6T/uFfsN09zOmL\nmI1N1NI6kpSxd74iu/kZducOducOPs/BZqhmB9VaJrr4LtGVD1CtZaRcLcS5hLbjYY/83nXSP/8b\nfjomfv8/opc3yD77HdmNP+P7XdxogMQJkpRJfvor1Id/F9bzDATMpynuaD9s4+Nf4w62iN7+GdHV\nv0IvraPfUBI3h0HRkhKJDoHb75n1YKDlbVGR9guDk0gUMZqqxNRVQkXiZ2uvfUNw1x7yX6Z/5tAP\naUiZtqrRkDIliZ7pfikIp3SbZ/OtfT68MUfROcjS0PZYayqaHbUwUXjapEa1Jpw6pbl31xJdP26n\nnIw99+5aWi3h7GZOpSqUEiEuiJGSuWA+RAhk6bxy5/jD7zN+99uU7pEjSYL2Y16JeVFoHcxAVlcV\nb78TMZl4Dg8ds1kgif2e54vPcpRAs6FwDhqNkGunzXEgrveh0pSlcP++Zeu+5ZNPMm5cz5lOArHJ\ndKjSvY72tnpdcfZscP2sVcM+ORcqn3u7Dq1D9XJ7yzIYBkOTUklotkIVcmNDkyTPnw13ElKYKcQJ\nnD2rmc0ijo4ct29axmPPeByOba8XzA+MgdHQ0+8b2m1FEktRLQrn2Fxz413Yl9wW5iyTsK6t+zaE\nyOdBe1cqwbnzmtL3YMD7KiACtZqwvKxpNhXlsoSA+jy4k6ap59YNy58/zhiPPcvLocV1oUed65qK\n4zvXuSalMFExfzx++8GMJEMxE1O4BFZQEhzTnJ+QE8LAlWoiqkXuJ1g/C+SOCC0G5ceLdTqJcGa5\noHVh2x5BYTCS4HHkfobzdnGhdtiwDUyxXIR+hcJs7y2ZO2Lq7pK5/kut60XI2PeBwEHQ5Jk3x83/\nR/xA4Ak6s5lPGfoJR36I8yFztV3kJfpiBn7kJ+y7Hvuuxx27x5JqsK6XSMnYdz2GfkKp0IWN/CSs\n001IC/MQjVpUfmIMVUmIiR74Bc4J0gS7qPaNC3t2JQotipokdFSFsU/JnKUqCTVJKEtESSL6bkqP\nCU1VJhJFRRJaqlyYHoWLc9DbCRGakkRUJcHiGPuMKRmpz8m9oywRZYkpSURZIiIxxGgmPmPsU+qq\nhBZFSSJaqkJHqjRVmap6inOrzbG7d8k+/z167Szm8vuIjpByFdc/JL/1OfnNT7H3rofW4GEPn2dF\npW5Adutz7O5dJCmjGm3mGpzs1udkX/4R1z/C9Y/CANPm+OkY1z9ClEaMQZ++hN7YhFKR8+gsfjbB\nHuyQffkRrneAqjbCc7t3cYe7oco3HoQKnonCv50N1lsPzKPLA39ClS/D9Q7I73xJdv0T8ttf4oc9\nzNkrYeb4dekSXiG0KMqiKBPRKSrIP1QM3ISbdpfMW1ajBqd0mw3Vpq7KT6wwn8Sqar2W0PA3hsTZ\nHEYDx2jgScpBB6e1LEK/H27hOol2W7hy1bC1ZfnTH48P0nQaWhQDWZhx57ZlY0OzvKIolUKweJZ5\nZmmIKDg8cNy+bbl9KwSHb29b6jXFmbOaQd9x965lNHr5KtfGhubnv4gZjz03b+SMRizaIo+6oao2\nnXo++XPG6TOalVVNpSKUSoFA5Jmn2/UcHYXPdO+uZWfbMpuFHLpWWzEcBMfL2Qu6XT4JlYqwvqFZ\nWw8D+lJJmM1CwPj+viPPPTs7oY11NPJozcKEZGk5LP+q9Glaw/q6Jk6E3d2wzVs3w3foXDhed+9a\npjPPl1/kwRVzSdFuK2q1QOi1LsxxbCDysxmMRqGFtt939HuByI1Gnk4nvP/CRfN9uM6+MigFtZrC\nrsDKSjC26fXCsXEuBLt/8UVOmk04d85w7rym3VGFoUwgb9YdTz5MC7fS9Q3N+rpmbV2xuvr0UfnY\nd9nLvyaSEsv6IolUmLoxE99j5A7I/JSyaqAlYmD3GLtDIiljpERJ6pSlUdxMhdSPmLoBkSSUpB60\nLT4lUTUaahUP9N0uMzdEiwE8qR+T+4yS1ElUjapqU5HWkz/0c8BjyfwRE3uX3L8cifsRP+JHPB8M\nekHWBn7CPl0GbsxUUlZcC6+ho5pcNWfpuiG37Q6Hrs/Aj2lRIyHC4lCiKBGzoZeoSZnUZ3TdECOa\nzOeUJKJWmJmUpURTVVlWLSqqhJyYra9JhU29xthPmfqUCIMAGaHtMcJQlzKxNtRVmanPiNBEojEE\n/VqqbSBhOHJvMaJJMIu2uJMJbELI4oskBEY3pcxp32LL9ui6Mad0i3XdDFNYhd5JkGDU4i05Dlto\noQIxDa2oT4UopFxDNZdABD84wlfr4cY8neB6oaVRmktIuYafTfHjEVKp4fMcPx7gp+OiDbGM3b2H\n298mv/Epdn8bc+YSyV//CkyEGIM92Mbt3cce7mJ//Y/Eb3dDG2NSftCAoSBz7miP7OuP8bMJqtYk\n+enfM59Z95MRfjrGnL+GqtTBxI/pDS9cmbIZbtDF3v2K2R/+Gbt1C91eQb/1E6Irf4VePxuqeT/i\njUEkmqqUiERzQa9xVW+wrlvUVfmZJz5rUvphkzjnPHkGs4ln2HeICi2FUSzUmoHIPQ71huLcedi8\nGQaD/UGw2M8y6PWCycV0Eqop586HClK5HAbw6cwznYVQ6t3dYwIgEsK519YV775n2N0JOW6Tyctr\n4zqdUMnY3rJ8/pkhy+FgP6x7PPLMppb9fcf165bNTc36RoglKJcD0UhTz8F+qBhubzm2ty21mtBp\nB+v+1TXF9rajWxiPvGokScjcW14O22u1FIeHjjSF/T3HcCgcHFh6PUeWBqK1tKy4cCno/OL41bjI\nQSD6rbZQqwvXrhkG/Zg4yphMPMNBqKTNDVdu3ghZfa12qAg2mopSKZxnvqi+pbPwnn7f0e/7BVGZ\nG8VcuKBR2jB9BefB9wlKhUkEUJw6pblyxXDrlmU8zsmDXwL371v29oIW8t49w9JyIMpRVJDkHNLM\nM5t6xuPQXvvWtQjvQjV9dfXpn2PmRxy5+5SkRkufIfIlMj9m4rr03Q4zN2TmR2iJ6Nn7DN0BFWlR\nUW1ymTGTMJuNQO5nZG6KkZhUpjgsmZtS9R0qqoX3MLT7jNwhRmJEFJmb4LCgQHmDfVQQ9gvA+7n1\nSE7qDpnae6+snfJH/IhvC/PzGGvx6RSfTUMuXWGqEkKYAQS0DjEIUSkMvnUE5liX9I11Owt5HjLu\nJkN8PkOSKpJUwnq0xs8m+HSyaJtbtK7M7XWLqokU28QEXe38fjRvJ6xKyE/z3jNiQu4cIz3F42mo\nColEjP2UnfyIgR9jvcWgiSUiwxYqXUNb1emoBnuuS160TOZYFAlxYS4UEzoLvMCcUs1TzMoSs6ya\nTH2ZHXWEK25Eubd4CS6RFYkpE9EsqiEntayP0uA8Vpd2Yun5Ei1VZdlnaBSJGM7qDmdN54E1PCqG\n+7kr+koKErcMonD9I1RrBbwPsRjDHniPai4jpSpuOsGN+qgoDufXdIxPZ0hSQuIEu3uP7KuPQrVN\nFGbjHPFPfhleT8rkNz8li0vk1/9M9vWfkXINc/WvkGrjQS2aDy1iQbe2j2+voM5cIrrwNlJrIqUK\nrneIGxyhl9chKSMP6wiEQAy9w+cZbtAlv3eD/Obn2Ps38OMR+tpfE7/zM/TGuaCr+w6R5p6p9aS5\nJ7UhHqaehAiXv1RUJGFdB/OwRAwOv5gUkRPXjydhrpx71UfxjSFx2gjlqjCbCJORZzaxiMxbHzW1\nJ7g9l0ohD+7iRcPf/IeEUkn47NOcgwO3aD0MbYuhXfLzz3JMUemzNrRIjsdh8D4YhErS6TOaCxcN\nH3wQ8eGHEZ9+mnP7ds6g75i9pHGIiaAswuWrhv/xH0osLaf8+28ytu5bZrN5ZcPT7zlu3vTs7QlR\nVFQ0iorRdBKMNmYzTxQJl69EfPBXEdWqEMUgknPrpoXh69HHiUC9Lpw7b9jbC7EIvV6ohGkjTCeh\n4mJtIH1ra4q33gpauNcBpeDCBUOlEs6FZkvx1Zc5X3+VMx6Htr88pyDhgTDHscPoYuLNh9baYFxy\nbBgzmz3o9KkNoRUz+st0KdYaLl81/E//UOJf/nnG4UGots5bd7MsOKXmWc6dOxBFhTbOH2d92cI8\nqFIVWi3F6dPqhZ1fQ0BtUGwYYnKJmfoB1mWkfoohoaVPs2zO07VbdO39xUW3rlZZNVeY+h5du0Xm\nJ2E9PsF5i8eT+iET3yOiRESJRNVIpEZFtahIk0i9KlFkEbXrpyFawN4ndz+SuB/xPYP34HL8uE++\ncxO7exvb3cH19gK5SqeBpCmNVJuoShO9eg6zdh7VXEE1OqGS8ShkKba/j927TfbV77D794jOvYs5\new1VayOVBvn9L8nvfYkbHAQDimwWZo9MFIws6h10azVsc+MSqrEEyiwu5hbHwE84dH2mZHiCM93Y\nT5kVhiEGvQiHn/oZCqGjmrRULcRxnIw54smDNu+Dm+WuPeKT7EbhUvngIP5ZCdGruB09vI5ARjXr\nuklTytTVNwUEr+Q2KApVqaLayyCC6x8FIxLn8Nbi0xkYg24tIaUyfjwIBC0pB5JXhGhLlIDS2L37\n5He+Chq5M5cx595Cd1bCDUwZzOmLi/bI7MZnuP4R9v4NJCmhV04dfy7vwVkkijEb54guvx/eu7QG\nJkZMFAxPKjWkVHmMta4EYmfzEP59uMvs9/8Nu3sX1V5FX90guvIB+tR5pPrdx5ocThy3uzlbA8fO\n0LJe0/zsTMypxl9u//qqbvBhdJEb+Q6/Ta/zb3xFU1WpSkIkunCcfPwvVYCfx5f5RXwFxas9jm8M\niVMq6GOiWBj2HdNxaLdKSkLrKQP/OA6Voc1zmp+Ow7T/aBQyWmazQIgmhRPkzk4gdvPK9lx3p3Ug\nkknMghB++NOYn/x1xE9+EmEdLC8rtu4LuX05YmRMIGRnz2qqhaas1w3r7HXnOW+BQEwmnt2Hsu+K\nCcVgflINpi7vvGv4T7+MUToQvP09R/yaMhTn16laPbhU7uzoEI9wECqfJ+9iIiFbbG1Nc/mKofPa\nSJywcUqzcSq0Vob2UwkZdoeOyThUZnMbyO947BeTtP6h4yuFXlKpQPRrtXB+GBM0YSurocL0Ko07\nvi/QGjY3Dc2GotsN7ccH+67ICww6wtHIMxiGNOf5sT0ZFD7XuXbaitGoyDR8SlXT+SCVtj4LD8Lf\nXGZkfkLuZ1DIqFM/YOaGeDyGhLJq0FBr9O0OY3cECEoUDbVKTS2R2xkzN2Tqh4goUsakfozHMfVD\nZn6Ax6IwJKpCXa1QUU1KRdvVk3BcYXOAxWOLLLjgkOm9LSTgOc6nzNw2U7tFavdwDzlTOlJyNyBz\nB0ztNuaFK3UKIzW0VJkPwV60Mu69JfcjnJ8s9mkOXWxD5jc4eag64Of7nePJ8T4/Pi48eB1hoTso\npPISkohEDIIptqFeWYX/wc8ZDOP9/HNii6y+k5/z4aa0+ecpEpPEIESv5XO+CfALsfYUN+phD++T\n3fiI7PafA5E7uIefjfGzMaLCzJmqd1D1JczmO/jpELNxCbRGlRuBdD10gfU2ww+72O0bzD76J7Jb\nH+PGfRAJBLDWIrv+R7IvfxuIY3cXl07wWYpog0QJur2OXt0kOncUqndKoSoNiMNkjCPkw818hkao\nSomMjMxnqKJCOLfZF0J+VEkiVlSTjmoQYTDoED0gHlNU2RKJKReat2MDEyGRiJqUycjZsUc0VQ2H\nJ5aIupQpSxK0b2jKhU4twhTbPz6HHjd8fJ6K2OOWjUTTkSqo19fiJ1JU4lrLSFGJ85MR3uaBhDuL\nlCuo5hKSlPCjAa53iFTrgeB5H24qhU7DHe1id+4SXfkroqsfoDfOoeon2t7jDfTSGtmtzxET4SdD\n7M5dVKODbi6HLCUo7mEeTIxaPY05dxW1cjpMNsw/+5O0PmGJ0CI6nWB37+N6B2Rf/gnSGfGHf0v8\nzs8wZy6jlzee+Xg577F4Uu+Yekde3EWEEMYdiaIsmvgFru/jzLM3cnx5kPPJTsblJcPVFcOph8jH\nwr2bIJVwPvjC6Pl9/sR2nffHk7j+eOyti3GWmt8b5sv5sJz3xVhM5rEyx/vhiu3bYr0iLIyuZLHM\nyWNWZJfy4DrVMxybclGJu2X3+Npus2v71FSJiiQkEhGJfqIyLhibdApzoB8oiZsPngGymWc69pgY\noliKgdDT0WwqLl81RLHQ7ihu3LDcvW3Z2bF0e47hwJMWZgxahQFpVGRftVqKZivkiZ06HdwjL102\nrK8rklIgBEvLmlbbMpu9mj66UuGq+d57EeWycOO65eaNnPv3Lft7jm5B6GZF7psU7ymXhc5S0Gad\nO2/YLJwSL182i4pYtSrP4nL7UqjXhfPnNdtbmo//9M3Td07gqrWgoTp7VtNsvH7ms7qq0B9EdJYU\n164Z7t2zIbB9L7RVDvqe8dgxnQaCP2+LnDtoxrFQrgQi2Ggomg3F0rKis6Q4f15z7rzh7Fn9RCOO\nHypEQkuqEsVPfxZTqws3b1hu3czZ2wth86NhyIzLwr13MUlijBDHYWKmWhXW1jRnzupFzt+TkDNj\n5kYM3QFDd0AmUwZun5kf07NbTHy/oEo5vmCE4V8zenYLvDB2PSIpo1Ao0cz8mD37NTM3RIkhpgIC\n1qcc2Ns4MsauS+4zDC6QTwxa5qThWeBCrdAPydwRuR9g3ZDcj4q/4WH9kNyFZQb5pziyb+TDTe19\nvLdM7G2O0v+OPIvW5BFQxCwlv2Ip+VsEzcvcVHI/5Cj97/SzP2H9GOsni9c68f9AJ/lPaKmiiHlw\nzt6T+xGZO2Tm9pjZbVJ3gPUjrB/jfIrzxy0PSmKUxGgpo6RMrNpEqkOslojVCkaqaKm81L48Gp7M\nD0jdPpk9IHX7pL5L7nqLz+nn35X3wYCHCC0ltJSJVItItUnUGole/wZ5/sHABUt2e3CP9Mvfkt36\nOJC3w23IQ4C01NpIa20xMPc2Jz+8j0sn2N1bROfeI7r8IWb9AmrpFFJ6CmmwFtc/IL//Ff72p5DP\nsEe72O4OojSqvY7kWWi3S8f46Qjb3cXNRvjJADc8Ijr/ftjm6iYQHPcaUsVoQ02VWVMdMnJybzmt\nV1DBtmLReqhEqKsqZ8wqq6pNIhFtVeM9cxHwtFWNRGI29SorqkldKoW2JkIjnNfrlJKYCEMkhiXV\nQKNYU21+Gr9FTcpUJCHGcEmfxuOpq0DuzCs/179DiELKVVRrGT/q4wbd8Bj2ghauVEbVWqjWEpgY\nNx6Eam6lhp9NkKQSiLFzuNFgQeykVBC/0kMdE1JMCCUlVKMdiNx4EB42/0b0hhiDqjSQRueBuI5n\nQmg/CYYog6OwP3GCXt8MFcJTF567AjfxlqG3XM/HfJIP2HczJt4RIbRUxBld5r2ozqYOxhvPc6Z0\nyoprKxGTzHOra1Hq0eTEeZjmnknmGcw8k9zTLCkaiRBrIT6x0VkO48wxTMOyWqAcCbVYilbNsJx1\ngUSOMs9g5pjlnnKkqERCPQmPOVILszysrz9zlCOhmSjKUdi28zCznrzIKU5dWDaznkokVCOhEivK\nz1DsuG8P+afZJ9zMd6lKibeiGiuqQV2Vi4mbJ48HRIR1/QM3NgEWsx7OhbgBbwOBmzsHzvE44txo\nKBoNRacTzEhuXM/5+E8ZX30lbG85Dg4s40lw0jM6tMRVysF8YWMjaM/efifinXcNq2ua5WVFFIWN\nVathmb3dEDBdLodBfpwI6gWzwuaOfNWqcP6C4d4dy8cfZ3zxRc7NGyG4u993RVWxcAisKhoN4ew5\nzeam4f0PIt5731Cvh+pQrxcyutrtoFUbFe2UJ008XtUkcLUqbG4atrYcyyuK5taDK1YKSmVhdVWx\nsa45dcp8K9Wr5WXN8rLm/IVAam/cyPn8s5xbN3Pu3nXs7Vm6R8JwGPRZWR6GVFoHglEuQ6MZjt/a\nqmZ1VbN5LjzWN8K+6GfsDxcJ5CUphciIZjO8L47D956UgnnPozA/9x9Y3/y1h57UsRBXoFJX1Bph\n+O/FE5WK71zNHTj9N95/cp0nn5//v3rouTgJ5+57H0RcumL47NOMP38cJk1u3845OnT0+yF83eYe\nESkmS8LvplZXtDuhcnp2U7Oy8s3YgodhfcbMB71b5qcIKrRN+oyx7zHzQ4wkCAotERElLBnOW8au\nj/WBEJWkjpIQ3+t8HggeQixloiK4FzxDt0/uU3KfhqhfMWiJ0RJhJFrMyj8NHov1U1J3wMTeZma3\nydwhqTsgtYdk7iD8vz8kdz1yP3z4210gdXukbo/BS8rwtFSJVJNO8h+Z+9+9KKwf0c/+wPbk/yB1\nXXLfW7wmGOrRe4iKUBKdqEpmOJ+Sun0m9haj/Dqj7Asm9g6pOyT3Xaw7QQgFtFTQUsaoBkYalPRp\nyvoMVXMJtAe9ipLkpfZljnmlNHzOjJndYWxvMMlvMbG3mNr7TN0OmTvC+QnOT3HkgENRQkkJI3Ui\n1aSkNyjpU1TNFRwpsVohUYFIH+ccvjqN8HcGm+HGfezuLdJP/oX0s1/jJkOwOareRtWXUI0lVK0d\ntHLpBHu0jTvskfcPyG99jBsehXWJENVa+LgcWtEec2y8zQsS9zW2u43r7kKUICZGtddRnfXwU7IZ\nrrePPbyPG/VwvT1cdw97tINPJ+iVM/jl0yASArmlQs2X6VDHaocpstHmCAYe4XoSY2iqKht6iSXV\nRCMkEtN4qGp1Si8/ch/OmFVO+5VFSHioMytWdIsVfaJyJCziCl4W86tL5h0zH/x2XzcUYBC0qOLv\nQ9+pElSlhm4tkY+HwU1ycIQfdPEuR0pVVL0VSF46wx3u4PIsVOJmE6RUQaIInF/o4/AukLR685vV\nsqIlROISUmsEA5Mihw73CAvygjCqF8lWdBafzUJ1cdgLDpqrp1ErpzHrm6F98zlDcyfesedmfJz1\n+b9ne1zPxwx8RiKaDZ3wk6hJSxlWVUIiCv0c5KFVVrTKit2RpRLJorI2x3xckjkYzDzdqeNgHAja\nJPfkTtNMINKyGLiPM8f+yHE4cRxNHJESGiWFrShKxi8IX+qO13c0cYwzTyPxtEoKrRS1+Hj8Ms48\nvYnjYOI4HDuqsZBVoVUOZM55zyj1TDNP7mGSeY4mgRjWk7DMClAy4dg/6Rq8a3v8Nv2aoZ9x3qxy\nTi9zRi/RUpUi6OPpx3dNtX7YEQN5BqOBJ53B6mmNPqfpHTjSmT8eXT7jeZgkweRDXQrk5q23I4bD\noqUuB2v9IkQ7MqEaV6sLtVoI4V5ZUaGSdeJ4b2xo/vZvY65eNcG23sDaumZ9Q7PUebkvRqlQseos\nK95+x7C6pnj/fcNgGFoqsyzs/7yylSRCo6loNoXVVU29rhaW/eVSqNL97Bcx9bqi3w9ViZVVxZWr\n0cKZ81UgjoR6A95+2/C//K8VfvV3D178REFkQmbYu+9FCzv/bwtah2O1vq6JIuHsWU2/H1opp9NA\n5u0JN99AuIJmMUlC9bVaDREPzWY45rWaPNf1tlwOLaelUszp05pf/V24mWgTXDXX14PRzqOOSw5k\nnoWYXcnxENVStBMAWcmz9I7i3XLEe0OwI7iXWrZzx8X3NUunFOWa4CSsz1O0QHiPAmIJ8ddT78Pr\nPpDAeddwRQmJgtRB7j2JEhIRrPK4BFbOaN5P4MwlzWHXkE3Bp+BtUeUs2iC0BhOFaly5HEjt6mqY\nLKlWn3xiGEmoqBar5jIlqaMloqFWUWIouwaWtOg1Fxy20LQFXZuWiBONJcV/qiBsbvHc/PYwJ3IO\nSz7XwUhCLGVKUieSCuoZL53WT0jdPoPsE7rpr5nYuzg/wS4egawEMjDjcQTu+whPivUjnG+AVIp/\nT5nYmwyyzxaEaOZ2Se0Bue8Xx2JWVLjy+YoAj/Mp1k/IpEvmjpjY22Sui4syaliM1FAvWJ08idwP\nyV2fsb3BKP+aqb3L1N4ndQfkvkfuBkUL6fREG2i49jnmz2VYPyL3fab2PqP8OrH6d0r6DGW9SdVc\npGouoaVWEM/vN4lzgyOy638k/eq35Ns38XmGXj6D7mxgTl/FrF8IBiRJqTAdyUPL49EO2a2PyW78\nCdvdZfbFvwXtU2cdictFaPNjfms2x/V2g8GJidHLZzBnrgWNXLWJKh9HAvhRF9c/ILv9KelXv8WP\nerj+Pnb/HvZwC71yNiyfHBOlufPiwwO0vh9zWMR/XDSnWVUtyiQvNcsuBXn7Ns+CL/Ih/zo7YtfN\nTtipvB40i+rQpi5zTpdZ0Q+TquNKHNt38MMurneAO9oNEwGNNqq9gmqt4I72Qj7beIjUmuHt5Qoi\n6gRZe8YjOa8QPG3X5zoW9fyz4HN3S+8camkdlMJ197F3v8Kev4Za2kBVqpA8u75636V8nA34PB+y\nbWcMfL4g5DsWbsqYG/mYFZWwrhM6r+C6OIf1oQJ2OHF8uR+0c/VEKEXC9YOcj7Yy3l2LeG9tHpfh\nud21/HErwyihUwkZwdMsVPHmbZO5g8Ox46PtjK2Bo11WNEuCdTBMHR0b1jbLYWo91w9zvtzPiXWo\n0O2PHV8f5KzXNe+tRRgF2wPH7tCyN3Kk1tMpKyINn+9ZMgt/fSqilii0gifNy8cS0VAVWlR5z5zh\nolkP7pRSfmIb5RwCtFXtudqbnxVvDImzuWfUd6RTz+YlQ2tFcePTjN379rmvLfMKV6stnLugH8hT\nnysWhGfrhZ1jfSMQttcBpQJhXFqSlzb+KJWhVNZ0Opqf/vTV/XAfhSgOGsZrbyuuvf2aBHgvAa3D\nY2VNWFo7bhsrVCnfyux3uRyqlZubhp//4vnem3sYO48tyJoRiIuPnPpAqABsCTrXFO9ciTgdaTpG\n8YdxxkfjjHM1Q7uqiCQoslzRw54V7zcASrDA0HqmLgxHM++ZuaBL7WhFHWHkPFMHdQ+iIdNgxdM+\npVg9o7AFCUwEavqY5ryK4xxJnb0mVQAAIABJREFUQrQgcpcefFHDgxqq48vqw8/PX33Ua097/kUw\nJ3HD/HMOZv+Vsb35wut6EC9zTOUl3/9scD7DuhFOzfB4rJ+Suy6D7FN2p/8Xw/xTUrf3QAvm42B9\noQ986F7gfIqmRKRaVDj/wp/1uGXfk7seE3uPbvobDmb/VFQID/A83dEqtFWmWMbg4eHO+4q+RDW6\nwpL/JZHqkOgITQnvv58Vuflxc8ND0uu/J/3819jdW4BHr5whfutvwuPiB8y1QXPY7i6ut4dEMXb7\nBrZ/gOvuosp1ogsfoJorhevkY4YpLsf192HUw5y6hF45S/LeL0l++g+IiUP1ZK7JmY7w4z7qj/8v\n9uAe2fAI3z/AHtzDHd7H9Q9CLllB4kTksdWLoRuzbQ8oScJFvUFT1SgVQdkvgrnV/7dG5Iv7yVf5\niP9tcp/P8gGvRiDyeJzWJX4etfibuE1DzGNIXNDEISq0UvYOcEd7YC2q0UG1V1GtFfyojx8P8Vka\nMuGSMqpUCfEAScLC8KDY1yCEeujCceL3fvz/8kSCJqKCTvO5SdwU2w05c3rlFD5PyfbukzuH3b2L\n3jiHaA1Fm+azXAMOXMqn+YAv8xG7LpA4gNR7xj6lYifctBNO2zJ1MbxkneEBWAejzLM7dHyym3Pz\nyPLOmuFMU3P90PLZXkYpEi4vmYU+7U7X8uu7KRt1Tasco0SY5p5pHkicA3Ln6U7COm8c5Xx4Omal\nakitZ5yF9kkIBK43dVw/zPm3uylnm4Z3Vg17I8cf7qecbxs26ppyJOwMLV8f5Hx5kOM8fHgqolNW\nfH2Qc3/gWKooriwbYgTzhGOUiKGpKtSlxFVziqtmgyXdoCIPnsdP+uZebiTxeLwxJC6ERUP/0HH7\nq5y9LeFgxzItDCleZO8HPmPLjrnnxtzOh4x9zhld5bSuckZXWdOvylnuR7yJmHjL2Od8nff5NA8W\nzzWJOKNrXDNNlvVz9rZ/yxhYx73U0reeqfdUlLAWKbyH7SzMup2PDTUtRMXF0hIqeCUldIxi5jw3\nZzmJEmIJpHBgg32EIhDDSKR4hDFyWpAx632RSgQeYWQd+7ljX4J4ek51rGfRkqOAjlFsiFBV33aN\n4fGy4lf7nmdHmMePMVIlUkskJ8LGT2I+zRTaL0OV55vrCm2JQlz8fbE7c2hNnOuyXt+3432oxOVu\ngJKEUf4lvfT3DLKPGNsbZK6He8mIBiN1SuYMsVou2hNfHKnbJ3X79LM/0c/+WFTh7pMXxjZPxvxY\nPnk4nPkjxvnXCIrUHdGI3qMevUesllBEvHpN32tGnoXWyO4edu9uaGkUQTVXiTbfIb701+j2Ko86\nz6RURUFwijx7DbauhxbLUZd863pwnDTxUzRIEpwDT18l+eDvMesXQ1TBQ+0SYiIo11CtVczaedy4\nhzvcCqHLwx5ucIiqtZ9pl5uqyllWMWIoEXLQ9Gtok3pdCPcIR+r9AxPc3ylEgn6t3ka0xk8nuGEf\n2zssdGud8KjWsSYKLbLTUYgZUDpU8RodVL0dNGdJGVSInLC9A3QUQVG1W8B7/GyKG3RDO2aljlRq\nj580eNFdK5XRnVX02lnid39RtHmW8f0j8ttf4G1O/N7fECXl0Ar0irYfVH+v/go/s57dgeNuz9Kd\nOsaZY2dgyaxnf2yZZIFk7Y0czVKokiWRUDFCmnu2Bpa1mmKlomiXFXFhRmK0EBuhZASjhN7EsTWw\nLFcUK1VFNQ5jju7EcasbqmvTzHM4ttzswt7QMZh5hjPPwcRRt0JmoRQJpxuaxAjn24ZGItzta1Ib\nvDGGqace88QIhRhDQyp03Yj/OvuEP2Q36agaVZU80E75JAL+tjnNNXP6lWtZ3xwSZyGdenpHnvEw\nRzTkaaj25NmLXWYGPuNL2+c36R7/OtvlwE35ebzCL6IV4lj9SOJ+4Jj6nEM349+zPf73yS1m3rKm\ny/yHeI1VVXrjSdzQem6nlu3M0ss9bSM4b/DAJ5Mc72HVaFYjRXTCBcp6T0kJS0Yx83BjZqkooaLg\nMPfsZGFAmqhA3pRAXQsrRlFSwsR50rmD1Im61NB5dnPHzIUqnREhUsLYOkbFv0sCm4mhaRRJse6/\nZAgaRYSWGrFaeiQ5O4bHkZI698jllEQLAnbs+vj80FLGfAvmGo6M3I/Rvo9yEYPsE3am/yfj/CbW\nj/APuW++CCLVoKzPBhInL3M786Run1H+BUfpv7I3+0dyNyxaOp/aa8XcgfObrpoPInOHZO6Imd1j\nmH1G7nvEehUjtYWT5fcJ3qa4cR/X28Xu38V290LFobVKtPk20aWf8DiHrdBeWUavbmLOXAttZ/19\n/KhHvn0d1VxFd07Bk0xgRSBKMKeukHzw98EM5VGDYB0hOkI1V9DrF9D9ffywi89T3LCLGxzil888\n0z43pEpdVziu6X+/YPHMvCMLnqtvEIkrI0pAm6BrG/VxvQP08gaq3UE1O0i1HkxIimw4NxqEyYBm\nB9VaCg6UWciLQ6mwTO8A9QgCh3fhnBt00SYuSFw9VMVe5a6VKqjOGmbzCtG7Pw/r14bsiz+Q3/yc\nfPsOurOOOXUekfIrIXEn/HFffgceQpp7doaWOz1Lt9CtbQ8t/VnQvU1yT2/q2RtZYqPpVBQlI5Qj\nIbWw1bdUI+FiW9EuBxMUASIViFS50OF1pw6jhNWqYrWmqUaC93A0cdw8zNkbWSZ5IGzWh20OUscg\nDRo55xSZ85SNcKqhaZUU51qaaixsdDXD1KOUMEw9yVN8LeKiEnfL7vHb7Dozn9FSwaQokeBI+6QK\nrULwpZ9zxWz8cElcuSZsXjE0Oypc8yXYjmstdFYfrRl6FsytWHOKi5b3b86F6zGw3pHicN5jClGq\nQp6r/fNHzKWUoVyfcyzg/r4cRS2BaJWVkOtwYe5aT+49qQsOTyPn6ObCUe7o5Y6OUZREKItQUULu\nQ2Wubx09G9ok44K8lQvXqdz7ResmhMqcFhhaR+qgqj0ijp51HOVuUXPIfXB+8oTcw/lnTWRuEezx\nz3HOeu9JcWTeoUUKc+5na319EYvtV2HL/TQoKRHrZRq8i5YSue8/ekEfvDRz1+Mw/Rd67ugbi8Rq\nibI+T9lsUtGbKHmxSQghoha9w7E1/+uB9VMy1yVzh1gm9NOPQnRCQVCNNInVEpFqYaSBVsHFMlQZ\nw01gbi4y1w1mvr9whsz9mEi1SPQqRjWQF7idee8KDVyPfvZHDtN/ZZR/jvXjBYETDEoiIumQ6DUi\n1SFSjYXrZnCkLCZRyPE+JfdjrBsE5023S+76J0xfPM5PSN0hw+xzDuS/kMdd6uY9Yr3E62u8efXw\ns2mw8u+GHDjRJkQHtNaQUj20Qz6mTS38pgWJy6hGJ1RBlMZn00CqRt0QEv44zFvw6kuoWgsp1xAd\nn1j3w9sKFTlVqqKSSiCX3ofogjw9Fkc/BfOMuO8r8sKWPvVuobf+riEAovBKhzD2pIzPUtzRPrq9\nEjRx1eJ8UnqhffOjPr5aR1aD7X8gbxqzcR67eR8/HpD++TfgXCBoJkIigz3YxR1sY+/fhDxHas0Q\ntL28Edoan/FcePYdlHC+Ko2qt4kuvB0y8MajEDlw81MwmujC25jTF3haa+eSinjH1Bk5y5HL8A5m\n3hGL0FQRl0yFi6bKaV2ipl79MF8rKBtYrweSdqquWakqBmnQuZ1va041NI1EoQTONDW/PJ8wTovx\nmPP8fitlZ6h5fz1ipRaITSNRvL8esVRRocPHee4PHDujGe+vRVxbMUXUQHDRVAjLVcXphiZ3nmHq\naZcV59tm4Z45y8NYKtJBmy/F5LLAopv2ab+CksQsqToXzBo1KZHjKEtELAaNLlqv5bGDS0F++Jq4\nSk04d9U88rdj3phP+e3A4pl4S+4dCZpEVDGg/f7eOL5ThDsEKjSkhaHr9+BQmoJo1bVCEchbN3fM\nvCfzHi3C2HkOrePQOro2XCBLBZmqqPB66kMVbWAdZSU0lKKqQ7ujBcbBHZ2x9SiEJRNMcrp5eF/N\nOhSKnvUc5Y5qse6ccDFOBEpaimpf2PY8v2WeyfisSL1j6LNw3uOJ5Pt93mspoyUhUm1q5hqPu114\nHM7PmNotZm6bXva7bywTqxXq0Ts0ow9pxT/FyNNz6h4HJfELkZ7ngfNTMt9lau8yzL9gZrdI3T6e\nHMEQqTZVc5mKvkDJnCFRqwtyNCdG1k+xfkzqDshscPic2DvM3B7i9ohUm1itEkkDXoCQehy56zG1\n9+hlf2B/+o+BMJIy/65EDFqqlM1ZGtFPqJrLlPUmiV7BSL0g08Kx+cqY1O0ytVv0s48YZB8z4Ta5\n7S/W6ZjhfMYo/xLrJ3hySvo0MW1eTxPU60FopdzF9vbw6QyJYlR9Gd1eKyICnr4fEpdQtTaqVEOU\nCu6DgyPcqLsIcX4klEZKNXRzGak0kfgxYcsnoQ2SVINpitJhpriIIXikK+EPEBbP1FtS7968yWxR\nEMUhEiDLgiFIfgXVaAUb/kLoLnEJRPCjAX4yDhEEjfbCCEefOk/UOyDfvk3+8a9R1Tp69UzImitV\nsPdvkH7xR/J7N/AuR9VbmFPnUcunkCjCT5+u033hXaw1MOevFaHk93DDHvmNT3G9Q1Slhjl1fjFm\neRyWVcy7pk7f5dy2EybeMiCnKpozusxlU+OSqXLWlIle8URdyGM7tucvR8LVZcOFtsYR7vlGBY2Z\nknA122xqNuqK/jQ4RP5pO+Pf72WcqjtON/UJEif8ZCPirWXD0cRxr2/519spn+/n1GLh2oopCJmw\nXNEsVeBiW3N1JaJkiqw6CdvfHTkORo4hYcJbP55jPRVliVnWDYxoLprVhc/isZr16Wte0Y0fdsSA\nUoJ6vT4cbzzm1q17dsrvsgO6LuWiqXNGV2mrmMYrdBj6S0BJNC0V875pk5dC/39bxVzU9e/Fsawq\n4XSkaWkJzpCEqIncByfJWGAj0lSUcCExrBjHeqQpF62UsQQDlNR7Jk4xcZ6kqNDNNXKO8LrzQeeW\nKKhrtQjrnDpPq6junY81tcKZMlFCXrhYRhLWlRR/K0r4/9l7ry45kjzL72fCRehIhYQWJVC6umu6\np2d29vD07s7h8okP5CO/HvkNyBcOD8kl2cPp7ulpVV1aoKATqUOHu5vgg1lEJoCUAKqQ1cQ9J5HI\nzAgPF+bm9hf33obaa9U8DnPJYhyfVDv8vtrkhm5xQ7VYkjkLMp1z835sECLUEhUaxOGmsN5bHCla\n9A/ldgXT6BQl6mjRRJ/AbPxlonBr9Ks/UtpNJvY+ngotW2TyPHV9g7q6Sq6ukKlVUrkYqnGiFqwC\nRFQa9RXOF2RyBSOH1NRlSr9NFStbneRv0KIRz/PJMbM7cH7KyHzFTvVbRubLx/hvkhwl6tT1DZrJ\n2zTU69T1DTJ5nlQtoUULJfI9vz7v8cLiaMWW1U4I/tQl+tUn6OoTSrdO4TaJ+rJRvfI+YxOUMJXI\nScQS+ns0Vn6hsAY/HeKnI3AmSKnvPqK6/QneGqrbfzl2E27nEXbrPmbtFr4qwrWsprE6dkRgNZOI\nz5uIJH3KHPzgt4ioMrhfoOIA4YtTwE17uMkmSI3MOqGiZAuwJd5Hs0xvAQEqR+gsVAyFwpd9XDlA\n5ovI2hK+HOHKPlLXEFkbbwt80Y9tSWmQqzej4IGmc9B1ZFIP/z8hZu2UJf5ABmdL6Kggmc67gJ4X\nSzLlTd3giqrROKgytC/4nnm7+ekYN9wNAXZWD9U3IUOioNlFpGu43S3EeIBIMmSjjUhSvNLoS6/F\nc6Yx7ivs2l2m//K/InRoZXS9bdzuJqLRIvvwH0hufhgqefppPuWLhoiBqlxYIXnzJyAV5vYXuM2H\nVN99EaqCyxdQS+cP3UZdKM6pjA+SNlIINl3J1FsyIVmSKVdVjYsqJxUnv3ql9ZTW05sE5ckvN0PL\nYmU9n64H+sZyIyi2rtQlxnnu9ywPBy507pQummsLLrUlF9uKyoGxnq2xY33kguR/VLZ0Pt6GhIpb\nZWFQBC7dzsQxNX5uM6BlrICLYIFwY0Fxr2+533NIEZQtdfSGW6yFytyT+RzxHBTwtqxxQ51jLAsM\nltIbpr6ixOD8SZilgvR7apU/M0HcK8yk3z1rbsL/Xjzgrh3yH7ILKASpkLQ5+4HHWUIuNKlQ/Dxd\n4b1kISg8IkiFIhdnn3vSUoKaVDjU3E4AHnfcSERoiFvSEkuwC9ACchGETYKCso9LxpkyZ1BmFfu3\n5/e2qWMnR0cFGX5FaK/sasHrfq9O4J/Y5kxlLWz/dPWEIKji+EO1xf84/ppfZhcQWVhAtGXyaqL6\nEWJi71O6nShwMkWLNqlcopP8hOXsH6nr10hkBylqobVTyDm3bD5yxLwpOvq3mfj/Co+J/MBn88/y\nWJyfMjSfsTH9p1gl3FvWKlEnlSt0ko84V/tvqKlr0cYg+NE9LdsjEGgUEilTErlAri7h/EekcgUl\ncvrVx+GcxEDR+inOl0zsXUbVl2jRoqlraH4cQZy3Bl+M8cU4BHTFBLNxB7vzkOrbP4E+wTPLVqHi\nVhUhiNMp3hSBFH9UcBUX9CKvBzGTEyFObo+t8I7mMR4HN92m2vocoXNU5zpCJfiih6+GuGoSA7oq\nCL5kXUTeRaZNhMqx/TvYwV300jvIfBFX7GIHd/C1FXRSx5cDbP8u3ltk0sTbAjd+FH7Ol5C1ZUTj\n3KmCOOM9Ux/a1g9afC7IhJ+nXT5M2uF58gIqOTWhWJQJSzKlfRR3VQhkXkd2l0OVatTHmyoEcEkW\nAvckQ7a6iDTHjQfIUT8I4DTaodIqQF+6EXhwcXzatbuUH/86Gs1X0btwgeStn5C8+7eBj9bs8IMY\n2UbIVpf07Y8Q9QZu6xHVo7uYW58BkL7/iyODuFwoEiH5IGnxpm5gCElqGWemVAhycTq5ndJ4BqXn\n9q7hi03Dp+uGtUEQC/njwwrjPO+dSzjfUqy2FFLCt9uGr7cMj4bBUy7QKwT//lrKalMyrYKf21db\nho/XKgrr0VIwrjypEjRTiZbBRmBUetYGoUp3p2fQ0du2jCbiuQ6z7VJd0kgl6yPH/b7h4UDw3Y7B\nE4K5m8uaRhoCvhdFnOqIOnWdUfiKqa8Y+Ak7bsjQF1SYuQ/t4RCx6fKvuBL3CqESMXQV627Cmh2z\nbqcMXBX4cWev8eHMQ0WZ6ERIWs+pXPcyoCI3LUA8NQL2TwfpE5ODEuw7YvFY4Pfke+HxvvBZJ4cW\nYUKeLamTfQuf/QHlYds8KRww8hVbruCRm/DQjtlxBVNvMK/G/Y8Wzhd4X8UKoqamr9BJfkIn+Rsa\nyZtk8jxKZCcXJNk3wEKwNUshnD7F6jFUbouJvcfE3mNqH0au3t5dkKuLdJKPaKc/oa6uzxUwD636\nzXdhFuAlKJHjvaOh34z8uxFjewvjBpFzF2yeS7fF0HxBIheoqUvAyqmO5+XBB/6Qc6G6KQRC6SDx\nr5NQ2TgOOnmsSC3rbWR3BdnoHv1+AQgVeVKnWa6KfV8vYH7xBm/G+HIAziCyDjJtgkzx1RbejEPw\npmt4V+HHGwiVIpIW3hlcOQxBKz5WMyd41cdNt3HlAF8N8WaCne7gXfgsgBk7WWbtU+2uxTMlcuIO\n+HtNKK6qGu8mLRIE+omShvce7/o4N2CPvyliBUvsnRNfhAeLkCRekHtJzSVo1cA6hXcjvJvgfTDC\nVfocUi4iz10kff8XuN0tXG8LfeOdIIITr7Fsd9E33oYsR527jOwsIZfPI7Teq6JlObKzgL7yJgiJ\nXb6IXb0SgjprkM0OsrWAvvom+vLroRUzSfa4lEoj6k3UxWtkP/sllAXqwtUgOnLCSp1sL6Kvv41c\nWEGPh6jVK4H3OfsMnSCaHfTqFZJ3fx7EWRZWkMvnkY2jr6kUkR4i5AtL9ygpyBR081DJkiIETKmC\nCy3FajOIgqSRW7ZQk7y+qAN/XYbfuTAFBL6aECTKk3nBUl1ytasxzqNkqJgZF7bbykLHTqqgmQnO\ntyRKalRsxzQuHO+FVki8pyp83pVO4NNZF/hu3ge/2/NNRa4FSs62H9opG6mgnggSGTh6WoZttrNw\n3Eeh8IaBn/DQ7nDbbrDh+gzchMJX2BNovAoENZHymj73wpVsXwVxZwhTb9n0BZtuytgb7Kvg7RVe\nII5b5h7092d5z2nh8PR8yUM3pudKzKtx/1eC8HCTIkOJBk39FivZf6ah3yCRiyiR8yw8tgDB88jx\neyqmdo2h+YKpfYj1w31VuKDtVtfXWMr/A019Ey26sc31WUa8oKYuk8gFJu4eu+XvcKKI2dswzo3b\nZWi+IFUrdPxHz3xcPzhmZfzZ/ao0ot4OHLfmAqJ2+pZfmTfC+7vnQvXlKIgngoeXBSFwxQ5u9BDZ\nvIg6/zNE2sQO7oEzqMZ5ZG0Js/MVdryBapxHJHWE1LHVcjbfOfAWXw5x4w28meBdGYK5YhfviQFi\ngi/6OATeXjzVrho8hbeUByw+BZALyarKuK5qoXbwZF+atxg7wpq7gAyBNBpEFLFB4N0Y73p4bxFC\nx1SLC0kbvYRF48wDrNnAuyF4R1L/GWneRl+6ilq6EOwrTBUUKfM9JXHZWSa52UBfextfToNYSav7\nRHAlIM1Rl15DLl8IVd4y8ly9D+NU6aCImddBJ4+rqCYpstkhufEu6twlcC540il9PO8yQi2dRzbb\n0dzeItIsBHHzXRSgNHLxHNnPfon/4O9C0iJJg/DOD4xUBS5ZphXnW4rSegrrY4AlyKL8fxI7kTu5\n5CcXUt5ajl62PtCiZgGTkqEjKFXw+qLmfEth41QhIkct02L+2noqOK8U7VxSGB+L8B4Zg8RGNMmV\nsZD++qLmfFNhPDjn54IltSRsUwC5DlU+4uelKrzmjSXN1S5kKvDrjvKIAxj4Cd/ZDf5Qfss/l59z\nz25ReRs7lY7n7QsE52WXf5fdfOHlhFdB3BnC1FvW7YRHNgRx37cB5yv8uPA8y5Rjg7FTbvxFLpkc\nnl1Xcs+O6PsykKN5ITnyV3jp8CRygbq6RlPfpK5vkKpzyKMqWifA87alOG+YuocMzecUbp39PnBK\n1NGyRa4uUVfXyeS5WDF89v1VooEUNTK5Sq7O4ylwdo+VZP2Ewq1T2EcYN8D5IraYnu22byFlaJnU\ngZMmdIJsdFErV9DnX0ctXjj9RtMMmdVRS5eQ+TF1hudtA3hR8D4EZEkdIRN8Fapl3paxBbCGSJuA\nwNsp3k7BTHHVCFf0cUU/cN+Q87ZKs/NV4M+lXWTmsdUIXLXXYqpShMrglGPExnbKGRd6BkGgG+RI\n6kLRlPox8Yb5oQJWKAwC7yd4O0GqFkJ2QwXOTfBuhHND8Ca0SM+USKUIS16h8d7GSpzZa6OOiqOi\npg9VJBZpFtorj8kPCKFC0LQ/cDohhJQg08i/O12lc76NLA9qmYfuX4xG0hy1+PLtjoRwSGGQ9BFi\nhyQxpAgS0aIml9DycUuuVEFaE/jcYx1zjtt+qoaUIdUWhFBCFdd55gqT+xXX5b7Abva6IJIS3v/Y\nvhKqds0s8OmsC6dSir1tChECtIPQyk43YWy7AZ9Wd7ll1yl8RUfUaas69egRKY9JRgpgVXWPfd2z\n4FUQd4Yw9YZHbsIjN2Z6bI/tK7zCXwcsnh1XcNeM6LnyZe/OK7xgZPI8nfRnNPSbaNmOptYvd9Xt\nfUVhHzCsPqd0m4/9LZEdcnWZTJ4nkV2kqPH8JtwCgSKRHWrqGtYPI18wqC86KrzrY9wuxvexfowS\ndc68b9ysmhGl3VEJstlFn7tO+tbfoq+8c+pNhgW0iqIlPwJuYAyERNpG1pcRMsNNtnFmhDdThK7x\nWMXZe3w1xk13cJMt3HgDN97AjtcRSR3Vvopb36Ha+AuqdZn00utQWwyc0KIXBDuERObdwIk7BR8O\nQiVu6i3VE5U4hSATMqphH2POImtItYit7uPtNl7mKNnCuyHOj/F+wtzkx5eARIhs/j4h60i7E6pw\nKITMkWoRRMKzV+df4XngqLB+St/eZrv6hMqPEWja+ioryU/RHO6rLOXeVTuso0cJ8GJvJj1sfEnC\n62Zx23FPCin28hjf11Nlw/X5Y3mLvh9zXZ3jml7hbX2JFdmOQevxn7wi2y+EX/okfjRB3H4PqV1X\n0vNBjafwex2pCZJESJpC05YpQ1dhI9nztHA+EEVH3tB3JSNvGHtDicNEad7Q0BMmvZrQtGVCUyTk\nQpEdkR2besvEG4auYuirudzvXTviz2ab78yQYXy437Uj/lxts+EmLMvDJ+vLqsEV1Zzzlg4bVN6H\n3G+Jpe8qBr5i7E3gH/ngpxeaiYKYSiYULZHQlgk1oclQqGPKNs57Khxjb3gQ+U0dmdIVGW2Z0BYJ\nQ28Y+nD8M97f/vOqhSRB0hQJizKlKZNgD/BENtzH62Tw3LMj7tnRofulCcezIFNWZY2mfPbCtvEO\ng2foKvq+ZOwNE2+p/J4fnYx8glwo6kLTFimteBzJCbL6JhqybruCB3aMB7oipSPTKPYhwzmM13Hk\nzXy/ZhnUJJ7HBZmyKDMyoUiQT3kOzvwUS28ZxrE+8Wb+sK/itfGRJTcbHymSZhz3daGpC4U65NiM\nd0y8ZewNA18ycuF+GrqKP5ttPjO7bLjgIbZpp3xW7TJ0FQ/s6NDz1REpV3WThShte9S4nwkH9X3F\nIN7TE28pvZ1z72ZjLyNeM5nQEJpcKNIzXhU5mxCkcommfptcXUaJ2nNVtJ4XQZXS4Sgo3RYTexfj\nBo+9RosWubpIqpaiWubzPSb3VxS0aJDJZaaixeMefYEbZ/04eMq5AUImyCMUTc8ChE5D62NjIfDg\nvA/iEXhko4NeucxcTOSvFCKpoxqrIBSqfg4AV+yGxaVMQttkUg/qlfkCypaItBV/XkS1ryHzBYTU\nCF1Dpi1kbRFZX0HWl5H5AkiFcgaftvCuQsRtyWwhBoknh/VRnfIJTpycB3HhGX9kGCdrSL0UAzSD\nUktI1cEJjfQVXjZixdBYF+TOAAAgAElEQVSBN2HrMkOoBYRqx/efI4yNJAZx3bkq7Su8LMyeki6K\nLhlKt4iLnpkBT1TFxPEhjJgHZMe0HZ7wdaf9/OfFyBXcd9ukaK6pFX6aXOemvsiyah9Yrf4h8eMJ\n4oCxN+y6kk+rHT6pdlh3U7bcNGaUoCESujLlumrytu6SCBmMgzlZpLwfM4Pwh3bMF6bHHTvkgR2z\n7QrG3mBwKGRUXcq4IOvcTDq8plusyPzIIG7gStbchFtmwDemz7qb0nMlW27KIzdh2xUMXAUI/q3c\n5BvTPzYw/G/zq/x3tetokRx5pI5gfL3rSr40Pb4xfe7bMY/chJGrmGAjLV+yGBf+b+gON3WH86rG\nOZmjjskO2xj83jVD/qm4zx+rLd7XC7yXLPCW7tDWHTbclFtmwLe2z7dmwK4rGfgqcGgQ1IWmI1Ou\nqxYfpYvcoEVbpk9lMoI0fQim/p9ijf9leufQNryWSFiSOT9JFvllduG5grgSx9gZbtkBn5td7tkR\nj+yUQUwuzJIKTaFZUTUuqjpv6y6v62BvcJIgrvSOga/4U7nNPxX3MN7zfrLAO0mXt3SHhtDcMUNu\n2QHfmgF37Iihrxj5an4NQ9Cc8mGyyEfpIssypy3SpxIbNvIktl3BbTvknh3y0E5Yd1P6rmToq3mA\nmETfwq5M6YqUG7o1t8K4qBqHjo7CW9bdhHt2xDemzx07pOdKdlzJIzcJQj4xefG17bNTFNRjAHVY\nIuZdvcB/X7tOJ108NsdlCcmFu3bIl1WPe3bEfTum70NA52J/+yxxcFk1uJl0uaaanJP5qyDu1AiP\nt0QuUNevkalzHGaf8MPB4zHRiLxH6bZw/vHqrxINMnkeLTq8aDN0KVK0bEVFzqe37aiofI/K99HH\n9YudAYishuquororwaPLlLj+JnZnDT8dzqtGf80Lc5kvoJfeBsS8KiZrS3hnwvFLNeexqfZVZD2q\nSaqERGfoznVE0kSkDYRMQCbozmvItINIasi8G7bdTvAu+tkJGWwKVHYKZc6AUImbBXH7KnECMqHI\nYyXucAiEaCB1ipANSC6CrCFlAyHbSLUQjhvY0zAOKW8hU4Soh4A3uYTUM3N7hZA1/prHyVlHaHRN\nyeUKXX2Tidtg6rbRh8xV/39ChWXsCxoy55pe4ZpaoSHyMzFaz3wQN6vATb3lOzPgGzPg42qbv1Tb\nbLuC3hML/5ZM2Y2LzrZIqXxYbFt/MoaZjZWdDTdhzU74wvT4pNrhjh2yZicMfDWv/olYjWiKhHMy\nZ9eX7LqSN3UbrwiViQM8UUocfVex4abctSMe2jG9+N5dV86DRIGg50sm1qKj0uJh2HIFNlYkD3rV\nrLI48BWP7ITv7JBPqx2+ND3W3IQNO6UkVARnmYWWTGiJJJzneFxWd1iQKXWhn6qKzT8rVnR6PgSK\nvyk3EAgaIiEXmprQfG52+Uu1zW075I4d0Z8dt/d4PGmsXo214WqsMgb1swPGCHvHtmYn2PjzrLI4\n9ZaRN3RkykVZpyNT/tabE42Hp65drLY9cGPumlEYH2aHh/sC/FnVSiGoCUXHppxXdQauYuBLrqsW\nl2nEB+bhgcFs3x+6MX+stim9JRWSejyHGZKPzQ5fVLvcsSMeuDFjF6pos/MSqmOalkx423cCAfmA\nc1h4y6abctsO+Uu1zVemz5qdsBmPaeJNOM/ezzNfTRGqVI/chE03ZZgYFIJFmVMT6qnxMQvuZ5XF\n78wwVNVdya4v56ImACNnsN6jo8T1YSN/QWb7jvfp4bG/UrtmJzxyEz6pdvi02uG+G7Nmx4y9oYiB\ntyBUTlsi4YEK92VPF7yhO1yhMQ8qX+F4hCuXkog2qVxGi9YztQceqTJ/yqfoLMNs/ADrh1g/5kn2\npfMFxveY2Nv0qhwlTlfpOApD8xWFXce44WM8vPn+eYP1Y6wf4Z5xjvohIZIM2V5Eds8hW4uINMdP\nR7idNezmfczm/aAyWWsFbtgBF2zm2Yep8GUBUoaqnlIhWDkDVTwfu0uq+EwxODShy0HoFK8WmWIZ\nO4MU0NBNUhEED1xsX3QY6lmTLOvMuxx83sXnHXRMjBkclS9JswZ53sETRCOkEGSqE9cA+yoiz3Bu\n5uqUT8iazCpxuVBHrjUClytFkIKsA4vMZt7w74yDNtvG/grO3naFarNHbPNP/f0VXgY8Eo0WdRLR\nwglDIurIsx8qfK8I1g2KVGhqIiUXCUrIl1qBm+HMXxkbF+cbdsqvyw3+r+IhG7ECN2u3qws1D5Yq\n73lgRzywI2pCsygzprGF6ySo4sL5k2qXX5VrfGsG3LcjimjWmcfKm0RQ4Si8DS11sZrwpdnlF8k5\npqnlmmpyVT5Nqo05KWpCsSAzpBCs+Fpc3I7YjJU4JWBV1lhROQ2RUDti8XhFNY7sY7fxQXLPjvhV\n8Yg/VVvct2O23DS0xwnBosjIUVT4EPx6wwM3pu9KvjR9fposMvSGN3Wb66p5aBD3JHys8gx8xVem\nx4ab8HG1zcfVDhDa1xZlzjIhmJh4w9hbdl3Bri8RQM7BbXqBjB0qom/pDv85v0wZ21OHPrQZ3rcj\nbpvhifb1OIy8YccV/Fu5ya+KR9y1QzbdFEfwblmQ2XyRX/kwlrZcUBy9b0d8anb4h3SVv01WWFU1\ncnXyBaLFM/GWR25CUTmm3vBxtc0dOyJB0hCaVszKzgKviQs8y4kzZISWwIOu2tBXfGsG/Lna5vfV\nJt+awbzCnQvFigjGoQkybBvLxJl5a/M3ZsCWK3De86Zuc/mQ8SEJFcq2TDinanRlxiS23SoEg3jN\nFmTKBVWnJRIa8vAw7qbu0IkV1YNe4QlJk6E3/KHa5FflI+6ZEQ/sGBszxA2RsCJzZobjU2/ZiYmL\n+3bE17rPL5KCSbrINdXkgvrhlcN+jAiG122UbAYhk+dRk4wk96csvk67HSzGD6jcNnbO23kcU3sf\nW0wYVp+jZQfxAh+TxvVCpc3tPFUBnO2f80WwZzggyDtz0Cmy3gnVuJWr2J1HuP4WdmeN8tafIauR\nXH0ffemNwJk76BnmPXiHG/Vwu+uQZMj2UhA1UfrUwh3fF0axE2gQW9ibMmFRZAjCvPHITfjODEmF\n5HXdYlnmJEhK71hzEwpvua5bLMuMdTdlzU7mAWFLhITpwFfsupIlmXFRNbB4hr6iJhTLMqf2lDfh\n6RF84uzTlTiCqEku5LGUicfx5GuP+/kk23iFHxreW6wvKX2fiVvH+jIEc7J1chuYv1LkImFJNslF\nQs+P2XZDshjMvWyc+Stj8TyKFbE/VVv8ptyYZ4tWVM5l1aATuUazhfuGnfLAjdl1JSNXYfCMvXmK\nB3QQeq5kzY35uNrm/y3W2XYFBkcn8qiWZMaCzNAICu/o+ZI1O2Ej+luFxWjgHGkk56NMr2QvCzlb\ncK/IGlb7uYjJIxsWFZV3FMKiEVxUdV7XbZZkRkcebpx6VTdJxOEVi0kUTfnC9PhdtcGfq22MD0bO\nq6rGOVVjQQSuVRGDjzU7Zs1O2PEFd6ohzoeKp4TAr/Khze248+q8Z+SD/92GmyIRrLsJJZZlmbMq\n6zSEJhMqBMW+YscVbLmCJZnRkumR2UGJIEVxQ7VQqaTwlgI734YAHtrJMVf+cPhYCvDAhpvylenx\n+2qLX5ePmHhLHh+wF1Vjzt8TCCbxof/Qjll3E+6YIfftiBxFjsKzME8IzMyyj0LpHbs+qDg+sGOK\nGCBKBCsqZ1nmwQQUOV9obLopW65gQWY0hCY9JHs0C/Jn3D6HpyNTWiKhKzM6IqUmFJmQsaJoeGBH\n3Lcjtl3JXT8KhvQyJROKFVWj8cT0EhIXmgWZcYkGtfhgKLwjFTJw01xoIV2UGa/rNudkzpLMn/Iq\nmuGCCpXVw86cw7MVK39/qrb5VfFozoFblhmrqs6iTFmI3KNZALcmJmzaUJnccgWKsLCpoViSeTRA\nf7XwOApSZGjZDgIdc/lxsNbjYmOElE8HZbOADfb+Np1CWXrSVJCmj/9tf2AnxF6wF35+8hpZrBth\nXA/niwP3u/K7VHaXlxFDeRzOlzHAez59Ym8qfFWE9jvv5ifWjfu44Q5+MgyvwQf/rHKKH/ewvQ1m\n0v0iqgrOJNlROoiOzLjX8Xeys4K+fBM32qUyJX7Uw9z/OrRSWhc+P8kQScq8guSjv1w0+3a7j7Cb\n94OEvNJ4nSLk2QjgIMxTAx/nVFuw7DMypdBCYL2n50ru2iE1oVmVNbrCI4VnSuhyGPqKFZ+zQBqE\nnOyQJPKKjfCMRHhezDo6HJAKicWjkUFJUj7/nGP3tVPur3IrBLmQ1IQ8shL3OJ53f45//6yNv+8M\nu66iioFnLiStyMPO4j47PBWekTOMI6e88n7+KVoIkti11ZAKjQjJ7zie/b7PnHjLNH4vY0V01vUl\nhSCNlcsZF3zuWPmMzwXjHX1vGESueHlUC8IxyIVkUSY0hQ7rzxPtk593KhRuF4BUdmMC7vCW6Mo7\ntl1Fz4W07/5pc2bwPiswzM6NjZXt0u/ZXYQqt593jc0UqsMni+j7u6d9ke+rGiue/bzPj957CgxF\npHQ8iSXZwuG5Z7fJRILFs+xbcW0QEtZHVeYyoclIXnhnwZkP4krv+NL0+C/FQ74xAwyOG6rFTd3m\nnaTLO7pLUyQkQoYb2DvW7IRvTJ9vTJ9v7YA1O2HsDc0TRM3f2QG/KTf4uNpm3U1oiYSrqsPNpMO7\nuss5lZOhkHHiHnnDIzvhW9vn1+U6X5oeX5s+pXcsiJQ3kzY1oanvy0I3ZcJFBF2ZctU35kIY35oB\nY2/m7WUpkouqwXt6gcu6wbkjhE0WZUZyRN/ydqwe/a7c5DszxHjPFdXghm7xbtLlddWeizdY77E4\nHsX2s38tN/iXcp1HbsJvyw1yobiqm/NWveOEYyyeDRsEK2biJG/qDv8xu8CSzFmUGWmchG28hjNB\nmU7kOGZHBnFhcl5RNWpCY0M+m+0YxG27gj+J7ecyjp5NTl+bPv80vc+XpsfAV1xWDT5MFnlDd7iu\nmnRlRhJJ4SY+9B/aCbdsn99FfuNnZpeJtyRCclU3yUUI6o7D2BvumyEDWaKRLMiMn6fLXFNNFmVG\nW6Rzg/MyPsD6rqTnKm7qNl2ZhvafA7bdFAmv6xaJCNsd+JJVWZ8HhvPJUggq7yhxfF7t8pnZ5QvT\n44tql0035S/VDssi492kCzwuypDGYLcuNOd9LVa3iQsWx5Yr5py4JZlzM57Ty6pBekjVty40CzEb\nfhAqHF+ZHr8tN/is2mXHFVxSda6oJu8kXd7VXToxSYAPY7UXq+qfmx6/Lh+xZid8Vu3gvGdZ5lzW\noa2ydvanz5cKgUaJnJnWnY++0FXlKWL8lKYidM3FCxh9o+eBXhKn7I0Nx+amY3FRsrgo54GblKCU\niN/3fbY42P85tNeWWD8lmG2fNcyaw2fN8c+xpckAu/0QPx3hTQW2wluDH/exO2uYtVv4cT8EUtMR\nrrdBdf9LRBYrYEojVILQ0fut0UXkzaAYqR6fr2RzkeT1vwGV4E2JufMZrrdONenjth9Sfv1vyEYH\nWW/Ptx28u6a4yRA/GeBGPfyoR/LaT1DtZWSjC8nhicsfGrNmP+c9RbT41QgaQqNlEJmazZezZO8s\nsJDxfbMExSQmK2+oFjdUiwd2zEM7nifQZsm3y6rBGzGJe9gceFrMfOKqJ/w4ZRThCqz3s5OgmnhH\nz1f8oezxL+UO21HB+JKq8WHS5g1d55Kq0RSKsbdsuYovzJBvzYgtV7HjKgRhndCVCV2Z8IZucFM3\nWYiBzpMz+cAb7pgJd+yE23bCui0Yx3OWxs6fcypjVWa8qRu8qRsxIH/28zbylj9VfT6u+qzbkk13\ncJLpJLiiavwyW+L9pE0tCnUdByFUVA4G60s8FulTLNMjuwKG3vIv5Ta/KXdj4Lv32v+YLfOP2Qot\nqUn2hThTb+l5w4YteOCmPLIF266i76q5Eb2JwZyOiY66CNYXiyqNnPUaV1VOU2hq4jilhpNh2w14\naHeeSp8N/JRzssMjt8sfq1t8Z9a5qze5qBZpiZx8ZjVwyD0qgAuyy3m18MLvrTO7CvFRLW/sDbfM\ngN+Xm/RcaK27rOr8Il3hw2SR95KFeUZ/hkd2wgVVJxWS23ZI35fzQOmwz5o9Nu+aEb8tN7htBgx9\nxRXV4P1kgZ+ny3yULLGk8jlnDEKFa9sVXKhqPLKh2rJhgxjEe0mXdRtUJev7Moo1oakpzdIB+/KV\n6dEQQXkwEYplmXFVN3ldt7ikTi+3PFMd3HIFf6l2+DgqXWZCcUO3+Lt0hY+SZd5KOo8dl/fhPVuu\nYOINX5oem67gS9PjgqrzwI5ZFBmJkkcGj7AnIV94y4LM6KqM66rJP2YXWZAZTZE8VdUofeAXCBHa\nTg8TApllNRSCrkjp7qtWduyUlkjmbS3mOVLrhXdM4lj813KDnivxwCXV4BfpOd5PFriuWrSeEEuZ\neMOGm3KxqrPtCu7bEWt2wpYreEO3+aldYlFm5CfIOE+9Yd1NmXhLV2Zclg0+0Iv8Il2hKYM65H54\n7+dqkDOFzMMycnWhuagaNGXCkswwhCB/ReYHVlu9D5WsrkwpvOVb06fnSr4xfd5U7XmAth+JkHRE\nSofHF2YDV/GdHdIWu3PxnpZMuKTqvKbbvK5bR4r6HITZ/DHxlltmwG+KdR5E645lmfNRusTPkmV+\nmizReMIPaegqtqKi6n07Yt1OY/ul5wO7yDuuy4oUT807r/A4grROOm/FqSooCs9k4plOw3ycZQKt\nQyDmfQjwjAETzV7TVCAErK9bHjyweK/Jc0FVeaoqBHlhG2E7sy+lxCGtlw7vK5yf4o+1cXkZC1kB\nj+Whnx1uuIO59wWuv4mvSrwpAu9sMsQNd7A7a7jJAJzFFyNcfwNz78twoXQ6Nx4WOkEtXkQtX0Eu\nrKLS/KkgTtRb6EtvglS43jp+OsZuP8D2NnCDHbj3RQjiGh1QCUIn+HKCLye48RA/6eOtRXiPXFjF\nl9NYPXyuU/C9wMVqgYlc25kYUjt2YWQEtepZW73wYi7rXxC+ppGHG5LEzcjvD+sUAXHetnRkikLM\n+XUvAns+ce6x06uAjFDdOKzz4WWg8I6eM3xhRvxv0w3uRwXjt3UTCdSFpCPDKmTNFdwyY35X7vKn\nqs+anbLuSiTEjpWUFZmy6ysccF3VuKJq5IQkchmfGffslE/MgE+qAV+YIXfMhEFUJ8+QNKXmiqpx\nTdUovSMTkiWZsixTZKygnbbiUnjHLTPm1+UO35oxd56je+g93eK6rvO6bpAgOJktWhCY8TgsU5yv\nEE5i5OTIuXLqLZ9VQ/5pusHAG4b7qEuLMuXnaZfUS5RQlLG6ueFKHtopt+14fqxrdsq2qxjHQLCK\nz/BUSDIkLalpC82qylhVOTd1ycRbVuN5rwsdKrLPOHY9nnXb4y/VXdwTYdw40nomvuTr6iFCSHpu\nxEW1yIJs0BA5el9F7qBzKxPBquo+074dhTO7CrEEKfD1KJoQ2sagLVKuqSY/TZa4qOoHBhBNkXBd\nNdnWBZfUDo/chL47uEQ6wywz9tCNYwBnaIiEa7rJz9Jl3tQdGvJp5ccESVsE/s7rus0DO+ZuNC1e\nsxM+Mz3e0bAsX46STYmbtzLesyM2IgduVdZ4N+ny02SJc+rgfWvIsOi/GtU+vzF97toRu67gG9On\nI9IDg4cnMeMlKRxXdIOfpyu8nXTpRv7YQcNeIahFnuPBr/jh4IEtP+V+zJYOfEUuFBdlnTd0mzd0\nmwuyTnbADZwg6YqgdPi27rJtC27ZAZuu4J4d8SezzTu6G7O2R2PW8rgsc95PuvxNusw13ZzbLxyE\nREgaBBGao8bfzCOoTYpWEo+nKULd7rD3rco6MpF8bfqkSMbe0nMlI19hn6MV5EXAxQTQlgsB2G07\njC2iCa/rNr9IVriiG2QHnJdUBEuGiypc39D6NGLqLfftiK+qHjoRLMqzLf/+0iFE5DOFsTkYONbW\nLJMJOOdjK1cIvrIMrIVeLwR5ShG/QjC2u+sYj/386+FDy/37lkZD0O1K8lyQJNDphEpd7VCqqQ8s\nJF8dkV0Wswad+c8/FEJzlzqyfemksNsPKT79Z+z6bby14EyoupkKqiluOgqVOO9w0wnebeGNwe2s\nhTZIqYLIiFToK++QFBO0EMhmN7ZF7t/xIPChFs+TvvdfoZYuYR58g3n0Ha6/Gdo3ywI7fTjrOYvt\nmhKhNKJzDtnoIttLJK/9FNk5B2l+cDn1JWFWI1XRqqbyjnU7QRCSYDMBk4pAs8hcmNF3XMGWDbzo\nDTulJhQljuSQwMwTBJuuioSGSHjoxlQ4zssajRfAwbGR91tyACdORk7cGarEHYYyth/uuNCCOMLy\nz+U2f6h63DYTHtgpoxgsz1J0G7Zk6A3TwnHHTPi7dAGVClZVRkMoNl3BF9WQT8yAP1d9vjMTtl0Z\nAjg/q487rKtw3rPrKnrOcMuO+XfpAn+fLsx99n5smEmAWV9g3BjjJ1hRkrmFaDFweky8ZccFTmeK\n4IGb8pUZzb/W7JSer8L1iwFehYvdYCGVVUbbJuM8Iww9b7hnp9wyI/5V7vKmbvCWbvKarnNDBWrO\nsx0/3Lab/Kr4bC6wNoPxlhJDz42Z+grh4R5b7LgRuUhIRLD8Pmy1JICOqPFecgX9gr0/z3YQ50rW\nbQjg+r5kQYTM/2XV4C3doSYPvlUaUtOQmi1fcFHV+c5mFEeoU3oCaXnLFazbCQ/dmBTFosq4HNuu\nLqvGY9n6GbSQtIRkxedcVU1u6BY9X7Jlpmy4KV9XPc5F0YSXgdJbdl05P65dH0jTq6rGG7rDW0n3\nwOMSQlAjqCBeii0dfV/xwI3p+YrvzJDzss4N3eTJtrmDELKWjkuqwT+k57ioGrQOqMDNoIQ8Mza3\nntCO+o3ps+YmjJyho+rheqsW11STZXVwq6sWIci3eN7QbbZdwY4vuW/HPHBjPq12WJIZb9PhuEVb\n8Pdz5ELxlu7yN8kSF1Tj0CBaxP7/k9gZhB7/0E7bOokMvIAllbGgMlbLGqlQ9H1FFSuWYQKeea/9\n8A+0mSDAhg22HWtuwqLMWJQZ13ST95OFyF18ev/S2Fa8KmtcV03WVFAe3XUla3bMLTt4JW5yAoSm\n4jlThPHYs74egjEIQZu1IVibVdc2N8Pf81yQZXtdAVUVXjscOgYDwf37ls8+q1hYkFy4oMjz0JZp\nDDSbglrt4DHnCQT+UEM5eFaWIihSzqqIP+T4DSqebRQZJxGC8fuSJRPnGbug6JpKgRn1qR59h3v4\nzeNEw30QWR2f1Sm8p3IgxkPEeEgqBOm+wxa1JmrhPH75cuDYPbkdKUFKZHuJtLGAO/8aaukScmEV\n+/DbEMwNd/Cj3XAhvUOkNUjzELy1FlDLl1Gr19EX3kC2lxBJ9ngQJyI3L75HtZeRzQVEvRXULE8C\nqRBJhqi1kK1FwCNqrWCPoI4+3yLWlnOhaMsE74MgVMenkSvFY2qUMzG1cazAlT4klsbOIBG0RDJv\nkUxEaNGbJb9WZOD7z4SxFIKlF5Q0Mj6qU0bP2PmpEYIM9QzCJi8HVeTJbbmSTVcy9Y7flrv8c7nN\nyBumj635wnktvGPHhmDu82qIRnBFBc61lBmPbMEfqh6/K3t8agZsuKfFh4IdT2gjXHMFj2zBl2ZI\nW2reSZp0SFDi9GGwgMj1UkGsT6jwFPV7RzDzap19d7zIYrWft3GH/1VYbzB+jPN23yed/Mim3rEb\ngzgp4Tsz4bflLn+u+nxaDdg5hH+2HzOe4/x62mq+FwJ4X7fZSYMn9IJM0D6y+E49hj09N+K23aQ6\nImhtRlpThWXXj050ASSCHT967hb5g3B2gzi/V4kbe4NA0JYJl1WDtkyjS/rRyJAsyYxlmbOzT778\nSXig78pQZfIlzkNDaS7I+pxrdtxnKREk+Rciv8YTJvgNF7JBBwugf/8Ye8sjO2HDFRTexXOSsypr\n1IWe3whHYabI2Yz8t2n0E+v5kuqEFRdNeEAsiIzLqkHzGD+7swSPp+8q7tsxPVfi8LTiWFyW+YlU\nOjUy8Kli8Orw7MYx1z/gQXEQJKEq2RCaFZVzTtaOVCz9vjHjGSSRI5AIOTeQnT1cXtY1tni2XckD\nO2YQORHtWBHtiDR6Rx6NJAq1dGU6Fxjou4otO2X6I5B/P2vIMkGnIylLx/a2w9o9zttg4HAurNPb\n7VBJS1NBUQT+nLUwnXp2dz1gGQ4dSkGzKVleVhjj6fUck4kPa/19PLv9CIGlRszJ+k+jrq7R0u+R\nqfM/uLddIrvk6hKZXEWLp5WND4IFrId/G1f8alCwmihu5prz595g8Zf/A/Xx7pE+DUPruDU1fFsY\nMiGoScEbmeb1fC9JKrurqMULyIXVEFwdikBGFHkdtXodUW/hLr5BOurF9skCCGqUQiXzoEykOaLW\nRjY6iOYCIq/zpL+c0Bmyu4IW75NnddL3/n1o0Wwtolavn+hcyeYC+uq7yNYiybV3AVALF5CLq8jm\n4pHvbQqNlDkdmTD10Q9uXzC2KHM+TBYAWJQ59Tg3B7EpwVhbVlTgLjdlwtRbVmKHzqqsIZOl+SKv\nITQtkWJwc8Xj/AW1b4cgxEUrnCcqcSewGDgrqGIl7l60FRo5w307YewtZp+YCTy9zrYE66p7dsq/\nlj36zvCabvC1GfGXasAtO2YUWwjFIduY/W7iLTi4bcZ8XA14TdW5oeunbn9NheSSyvkwabMkEy7a\nnGqfOEuFx3hHFVs+J84yiVXV55NACpj5xNXkMgv6JhO3TeUHaFE7lOt1HKaxEteP1ktfmBF/rHrc\ns5Nw3g7cj/B1XEP57G9rbsrvqxB4KgRv6gZXVI3mKe8XgeSj9AaJ0E+1Uz4vBIL39IuvwsFZDuLi\ngmnmUyUIPJkLuk5bztq8jr5J0hh8LMmcu2LE8JBqnI+tm/fNiL4Lal01oVmSGTXU3GvuKEyjqXhN\n6KAkFSeVTTdl7NL8/00AACAASURBVJ9HUuP5MONRbbkppbfoGS8pKvpNjjkuCDdLTeooTy8oovx/\n/4jAeD8EIYgJEvwpF2T9THj/nAYDV/HQjulHBaamCJytEOQffyyJCMHzJdWgJRMczCXsw5g7HgIR\nlU0Dz2/lFPYEJ4X3s+zefoWofQydfVnB/f8mQqGRFLFFZ/aelxbEec+uK3hoxwx9RbAS0CzLnEyo\nQL4+ZuiW3pEgyeM9PbM72XbFoQ+gVzgcIYgT9PuBG1dVoLXAORgMQsa525W024J6PbRZjkZB6KQo\ngtDJaOSx1lOWoXrXbguWlgS7u1AU4XUhiDt85AmhkCKBQ4K4XF1mIf0HWsm7NJObL9Qn7vuAAwzw\np3HF/7Q55q1awn/dyVHL11m5/AYNffQCbFxZbu9O+c2wpCEFHS1ZamU0Wump52kRiYgiqyNX6rBy\n5dkP7MltJykqWUa1l0muvP1M25DNLrLZhcs3T/fZIliRNAgJuJl99Uw5D2BByDkne3+FvwtPVe7P\n8fiYOhcVon8IGNhrp9z34JkJhCkEJvKpZ3P+QRUEEf8VYu94Z+dk1lj2fT7nS+/ouYp7CNZdwchZ\n1l2B9T7O27GSz8wzdu+ZFhKNnvt2yr+Vu1G0xPO1GfG5GXLPTuaWCyoWDBx7GgOWvSrmFEfhHbft\nhI+rPjWhuELt1KmfVEguyRynPedlxqYqmUZ+2MQ7pvErKG9XbImSHRe6X9yJVhBHQyARQpHJRdpa\nkrgmQ/sgmn2rZ6jDhSLChivZdRUP3JRvzIivzYiRt2G8xVSajOMoKHXPzvfsWoVnw+yc7089eGDd\nlay7EuvDOVRCsChTGj5yUk84BqUQfJBc44Pk2rGv/T4qas+KMxvEBaXJ4BlmogF1igoy6SeMZoN5\npTpRZmkmbT8z/d12BV+YHmNv+Nr0j614FDg2bGjbemDHQDBrLrzFnNBo/PuA8Y6JM/MWt7E33LZD\nytKyZif8n0coXs6w6Qo23IQ7kRekRVisP6ludRgEkAlFSyakZ8Tz5zQInL4wPsrIo0ljMJWLk9R0\nwoMtF2H8JgTOWRk9BosTCq5oBPXYKqy/J55ggWPXFWy7ki03ZScmUWYm5iUeF3vUXfz6uNphy03j\nvXM2JjeHn9/TZcw4r7sJrgqKsp9UO8fyFkZRlOaBHbPhpmExgKPAHSmU9AoHI88Fi4sSpUJFzrkQ\n2HnPXOgkzwV5DkkSFCfLMgRsRRG+z4RLqir8bdZCmSRw/nyoyiXJUddVIkWKFDnykEyt9xWWMY4y\ntCv+uPJNzwxP7FjksPD2FWAveDvsb2cd1oego/T+sfl67C33zJSUHmuuoFWquVLgfo6S834e7KVC\nkgpJUwTRiQWZsCjTuQrk4brBz48pjke2YODMXPL/sqrxXtLmosxZisnSEsc3ZsQ3Ua1yc1/nyyDy\nqxzQ8xXbrqLwjosy5w3d4JLKWZQpNSEpCRy4z82Qb82YYfSzhRnlouJrM+KGroe22FMeukawJFMS\nITjvs3lF0eyT3zfxOty1E26ZMV+aEVM/pHoBnSGOCuPHWB+q5QJNIuookcdQ6/Rp2Qd2yu/KHYbe\nsu0qtlxJ6R11oegIzYrKuKgylmRKO3ohJ3Fs2Xi8I2/oe8MDO+WBnbIVt/MkNl3JH6s+TaG5oep0\nZFhrfd8rzlmi+zgcX3Z6NpzZIM7jKbFMnZlLw6dRpCE9RqRhBhWDuEyo0ON9yHkO5MnZgm8viJsF\ncs8CRTADn2Jf6oIveORVIYiL2bU7dsgdO+Q3bDzTNutoSm9DO8YJDk0QpIub+zgAPzYED0IzD/IT\nIWnIJAqznCSI2zsHM45awV6QcRLouSeN/t7UwwpvWXdTbpkBX5k+39kBm27Ktp0Fc5aKcO2DUa2f\nP+DPEjwh2zyKPL2QsZuy7qZ8anafaZtZrMoXL/me/rEiyyDLJAsLcPWqekw9ckbZOkzHYr/ZN+x9\nf/DAcfeuQWvB+fOShQVJmh5+bwghkCJBicM5Z44K68fRR+7lJeBeBgSg9l2XVzgYP+bTE5Qy3bz1\nfYaxt9y3Uwbe8OeqH7zZvGHkTGi/jHO9wz8WvDWE4rzKuSCzoIio6lzTdRrRv+37wtRb1mOC3wKr\nMuOtpMkv0gV+krR5Y26Wbvg/ik2EB+9HbFHOZ++BN4y8YdtX3LZjPIE396Zu8A/ZIj9LOtzQdboy\nYeItd+2E/3nyiL4zOOfnQRzAtiv52sBHtvNMlbEQxCUsnaCG97kZ8kfZo8Bxx44ZvIDHkfMG4yc4\nCjwOiUaLOlrksbX52YK4XrQNGO9r+2wLyarKeCdp8tOkw5u6wUVVYyGqu2oElhCAr9uCh27K78se\nvy97eD9ie981nGHDFeyUJcsy5e/dApd8Prdc+r4w4yWe9NXfRxh3ZoO4w/AsZNGT6nzt78GdSbKf\n1AvtSSgEyypnVeZHmhF/35iTYX34rhGPHdezVMY6cq+d76RBmYC56flfCx7PY578Pc+KJ1tVXgRm\n+7Npp3xrBnxrB3xrBtyP/NCxNySRW7oianMu2Vy3T8BdM+KOHTKNJtpnCfvv6b1xr6g9g2BFJh7n\nNb7C6TA31D0gWHvSsHs/DgreZmi1BBcvhoAwSYKgyVH6FAKFFi0SuYg8pE3S+jGFfYTR/VM9on+s\nqEvBB/WEjpZkIvx8Jf3xdUz8UDhcge7H8WyzBAPyksc5caUPPOJR1CBweIp9nl17khd7ioHWeybC\nUnjHtih5YKd8LoecVxkXVMZVVeOGarCiUupCvdAkro/HUhOKFRG83z5I2ryftDgns3m1sIHmLd2E\nLHRofGfHVPuO3BH4dUNgRabcjNt5Rze5pGrBBzAmYRdkytu6Sd8bfl/2HqvqBY+6oGRZ+WBDcZqW\n0tO0np5Ey+C0kCIloRnNvneo/AjnSzwzbu7pPzEUEexcRmpZplyQGW/qJu8mTa7rOhdkzrJKaQlN\nFq0eZh0BiRd0ZRJ+l8B5mfH7qkdeStZdyYYr5jP0bDzsuopbdsyCTLiianRewJib+oqxK1hzO3xn\nNth0Aya+IBCKjl7VBUEkwc/S1/l58jrJC+5G+9EFcadBWPSebGp9kkRZi4adyzJnKfqMnQYKQUem\nLKqMrkh5mbm7/ceWCElHpvG4Mlri9GaqTanpiJRzkV90HGb98i8y+HjZeJZQ5UW0Gu6dwxd3Jj2w\n6ab8ptzgX6sNvjI9NtyUBElTJlxRTVZVjW7kUmYxw5ogSYTkt2KDbTfF+LPVZrh/3AuYc+KWIk/2\ntAmFJHJezqvaqyDuJeCgNU6zKWg01GOvOXotpFCiSSIXUOLgVnLrR5RuHeP68Bzekj8W1KXgw3rC\ne7Vkvjg8glL4Cj9yGH9wJa7EseMdYt8U7p/4PkOgu4QgDw/blPNnk0TQkZpllfFR0uY/pZAKgZbi\nhQdxnkBtWFUZN3WTD5I27+lW5FYFaKF4Sze5IDNu2TH/d7mNfeJZVRKEXq6JGh8kbf427fJ20uK8\nzPbuCQSLIuGtpIklVJk+MYP5NsbeBquq2D0W7Ch+PDeSIkUKzZRNpm4b48cIZFCm9M/GcK8Igiwz\nLMuUD5I2v0gX+Pu0y6rKHuPB7f8EASQIOkLTVprzKuND74JFh3d8YgZsR6E5mAVx0HMV35kx52TK\nkkzpvABhqsJX7Lghn1b3+C/FJ/x/7L1XdxxXlu/52+ecMGlhCJCgp0zJVKls1+3umXZze83LPM23\nmC84T3fNmnvv3O5Z07a6q7qkKpVMSaIBCcKlz4g4Zh7OyQREAiRIgiKlqr0WRElMREZGhjn/vf/m\nY3uPfT9iEqqlrOS00iiMaP4P/ld+kt0i+0OJGIgmDppC6aV2pQmeaaJynWWp6JLuqA5fF/CeVLlE\n178FVbMthouqxTtmhXfNCt1nXLSJRCDYEsMV3X5ll7JBlsGjWoQ8KNZUDNt+18TohGetPNkhX0xd\nqrPUt+dWdnItqCNFsg62yezmrDqwqNHyS20ZLDSez04xPc9jOfWWg1DzmR3xOzvgSzteZtG9b1Z5\n2/TZ1C02VEFbTDLuibEFOnWYvrLjlOX3+nzLCx1mWwxZEqZ3JeOSbvGeWeFds/rsjRmJ3dieZGye\nEinxwjv9hEMY7aYXtjPf3npWqt6TXv/MxhsolBRo6WDUCplaw/kZnvnyNdYPmbnb1H4XF+boYOOZ\n/i3gGD7PHsYoEniilPCP9a2v4yyjdcnYV4aht19bZD/NEfC0bS4MKBb/NfQWB3zICBfgrp8tA6hX\nxNBW57f0LEVxRZfcMC1WxTweqRMChSh6Sa93URXs+5rhCYZzfWV407S5oVv0FjKcY2VQrEnOli4e\ncz9cHLsKzyRYumHhx/DtKEeNC3NsqABSnmaNDRMC7oVa8G3RdEXztunw83yV97Iua6kh/MSSo3va\nYr1xy7T5s7DGJDg+tRNs+HrreBY8O75i159dqvK02vED/r35PZ/YbRosW3qVW3qTSaj43D1gHhpu\n6U02dT9O7ULNA3fIYZhwU29yU2/yhr74UjKPX2MQd5SdokXFEX66OOozUlwWC+cqPFnDIkQny84x\nemFbDJuq5D2zyl8Xl54j2PeoK/W0oOWXWVqEltLxOCJkolmTnFumx5/mm/wge/YE+YVAU6dpzHe9\nFudHV7IliGuIgKwK7kz8d0/Um02CpcEjSa/ZVdmZjXpeRk2C5Y6b8Kkb8okbsO2ndMRwXXf42+IK\nf1ls0RETc17SNy/HbqwC/Guzh0G9VsAiHt/YmMmSVXlXDFuqxQfZOn+Vb1E+c1c4XdMiL+G8Pytf\nYBHg8Md6vhIUGVraZLJCpi4Ae3h/BOIaP8CHmso9xIUZAct5hG+/rHoZ1Ko/1ne3WqLZ1AW7vo5N\n8Zdw567wNIma+aWb8aWb0hSBTBRGt2if49KzJZorquT6E5rKkQ6pWFUZW7rAEhi7o3XhYq3WV4ab\nus113Trx+WDSlPFiKJYREo9WHQIj71gRnzSB346r04WKyg9xYY4ghOCo/ZhGTZ477HtRHdFsqYJ3\nTYf/lK9yVT87uw2inOSaLumL4XM7IUeYwSMgzvHQ1ez5muqcnpU7bsA/N5/y0A0pJed75jLvmCuM\n/YxQBQ7DhL8s3ucH5jqDMGXHD/hl8wWf2vv8LHuTvy6+zxvmDwzEaSR1Tkpai9w13/DAzRj75msh\nh6ddIk3wHIaag1BTPcESXICeZFzRbfqSLbPQDnxNhYsA75Rg4PMsIQYUHmXgJQfAEM5kIHJStRIY\nXdcluSgG3jMMDUPfIMI38rm+C9VPkQJ33QRBGIeGe27KddM5kw7MBs++r9j20dVKpW1eVm166tVl\n5i0y//Z8xSSF0G6oGFx/VXe4pKLu8dHuZgiBJuklomul53nTahYPUC1HmsmQNAXPozuE2LxYSdTH\njmSQuPl7vqJJlIy2Mq/VuR/7jAY5BVwuuqLuD8VwI6Te9teYPKeI485YcZomKMkp9BZd8zZjG2j8\nwdHb0uBCoPLbjJqPCDha+hqabz5qoPaBofMcusBO49iznjrECI1CCYUIm5liwyim/sj6/kl1YD2f\nzC3bjaP2Ybk8U8CKVqwYxbVccy1TZ54+1j4w9oGB8+w0nkPnmftIuVtoGjMRchFWtbBqFBfSz2nB\n0vH6h7ELPLSefesZOs8kbdeFlJ0pQqGgVMK1THMtjw53mcA07dde49mxHiPxM1Yh8KBx2AA9Ffdn\n0yiMCLdrx/0mLu+1wPVcczXTtFXM0FscE5v24dB5dhvPwHlGLjAPgSbEebkmfu6OFvpasZXFz5yJ\nnGhO9VVl+aJyGIGuTs56AhMX2LeemY/atGgWBr1j22xrRUs9/fu6pkv+Or/AZVXypZsyChYfQnJ4\nVOl+H9MUF/fkxVYXJlZ18FTJOXASHIe+4SCZdC24KTG/MD4jvnIz/qU5jPqhPE7GynPSyGUJnK2r\n7EQjlcX3JSFO7VYlY0/qr10nOYqW0vQlo6ti4PlJrffY0FW00jFa2H0cf0ZFB2NHcy7G/99cCRot\nGbn0ES0YaZOrHqXaQPNiQfMbKuf9bDGJjYZwz1st0RglrKmcNZXTJIOZxROxITAOjol30SX0HGoS\nKu67aIj2lrnE98wVbuoN7vsB3aak8pbLepV3sstMQsUVv04hGRuqR1tyPrP3WVEtburNc2/Zv74g\nThR9ydhUJW0xLLPc3IRBaM60tKvxaYE6f6KNuxAXfNdNJ5qQSAzqvucnMV8tSRdf9mJvwbtemEcs\n7HzdU6WTp1dLNJd0i01VUqCpcOz6OfcTmPCE75RW7WXU8vzQXX6nhiiEkW+44ye85fpLeuSTqsGz\n6+fcthNGvk66gZxrqXHwqqpOkQJDX9PgKUWzpdrc0F3WU8jsaefGPDhGvmGSXF1fJGAgZsaoZZ/K\nk3JhnvMmbBDWVRFz+SQjAIMQw9UPQ7UUWr8+532SP0tGdE1c3AGOylNj/TBNh75Ny4MXqBAgeAhp\n/HtOnW1FRqkv0zXvUft9pnx29JYpQGPu7jJo/g0lGbm68Ery4uoQeNB4Pq0sv5g0fDhrGLvA3AdW\njWLNCH/Syfl5J2fszrZofGgd/3U45x/GNUMXmCWtQa6EW4XmrcLwN72Ca9nZ9dLzEHjYeD6vLP82\nbfh03nDgPGMX8MltvZuAzFuF4e3S8IOWYU2rU/V3gRhivu88v541/HZm+aK23K8dEx+ofKSA5rIA\nhcJf9Qr6WtHVMfNs5AJ3G8eH04Z/mza0lPBGoRm4wC8mNVMfuJ7H/flRO6OjhP97OOdfJrFRXAj8\nTa/gr3o5m5mmVEfPShtg7gO3a8evpw2fV5a7dQSbE+9xQC7QU4qLmeZWoflPnZx2W0BxIoj7ZG75\nL4M5LaW4kimK9H7bjeO3M8tDG8GTQVgzwo1c8/NOzgftjItASz19iXhLt9ksc77vunxiJxz6hoZA\njqKnDD0xdJReGpFkx+7LdYonGAbLwDds+4ptF/O/PrEThljmj9DbPLDrav45HDL2ljWVsakK1hXn\nA+LSBK2vnixNECKIW1GG0n/9uVaIYjXFJBScHkklxGfL4rgsrPCPf14XIsi137K7tBKDCS2UyilZ\no6VmNGGMlhbmBe99m0kLd1O3n4MB8/WKzQVNXxkuqJxpcMyPZeXZ4JkkfeJ5afSjJm7CRbXC97Pr\n/NDcoK/aWOspJSfDsCpdrur12ADUDeuqww19gV82X/A/6o9YUx1+nN2CPxRNnEboS85F1WJdFXQl\nwyVQds9N+NyOuKRarKkc88hJMQs2LrLdhHtuyq6fMw/uVPS/MD3YVC0u6RZbqs00WAY+Lvp+0xzg\ngueiatGW1L1/5AYcwqL7FLtTVXBLTdxRmOGTFx9aon6tLQYtCpsmibu+4vpzhgsXolmTgkuqxZZu\n8TDled13Mz61A7ZUa3mMF1SxR2vx2WbJjteIooUmS92qk37nu1QCrEnBG6bHVtOipzLmwfGVHfOl\nHnHHTTBIpEY+co7Z4JkHx0Mf3R9/Zwcc+ppMFFu6xXtmlU1VvjIYvWgcLID8Uch3SJTZx8/zBcC6\n66Z8Zod85SZUL9B1XOjXusfozJMQp+5XdScCuWc8PAqhJxkX03l/SbXwwJ6f84Ud82FzwHXd4aJu\nkaee62nX9II62wRPO+ki9Xmf97LYa500W+3kDNYsX+L8mLnfpvF7+DDDh24Cft8NSnMIAYKL6d4h\n6f+CB+8J9QzsHCl7SNk7AneiQGnwDlwT/1unx5pP90xtkEcWtyIZpbpC17zP1P4eRStJ8BdzqUDl\ndxg1v0JLiZE+bXOTTK2jZdGVfv7vP6T+vQ8zrJ8AEvOYJEOR4VDUPgK4X00b/mPWcK92VD7Q0cKa\nUZRp+rTTeP5lUvNlFSdLT6uWCNdyzXutjFGa8t2tHQfWs6+FFe2ZPk1EnsqladRO4/n3ac3Hc8vD\nJgKYvlL01SIkGZTE5YsnpCndyfqrRd/mwHq+rB2fzC0fziz3akcdAq00EVvM0AUwAvXCgVmOlkmW\nCLR2bQSYLSUUKmYTFkqYefiqtoxcBEcbRjHzgRUt7FnPnoPfV45VY/kBsHEsOF3SP2Y+sGM9QxfQ\nAita6God2ULpfvmgicAzFyEQeLMw3Cgev24nPrDTRFbDro2T1lwJdQjkStgwChugCRF8f1U7jDRM\nfeBnnZy+idO7k+5Ni//TVpo2OuXoKsY+LnaNLJyr45SsTEDlONi0IdCkRfIkOC77mj3d4qouuanb\nfOWmfOlmHPqGyTG34hrPga+54+b8phmzJjnvZ1366sUbmHHdpOmI5mmcFkP8bI96E2cidJWhrTRG\nTl+riRzJZHSapobA155+HpZxDN8mELfYWRcqLBN8aAj4F6aSC7CqMm6ZNpd0QfYCz83F8QeSzlFT\n+q/PTP3CC4One2GctQJxmCIidKSkq1q0JCcXQ4Y5JplKsWYYglpDIfx78wVf2Icc+slLgfWvN4hT\nGZdosaFK1lTOyFsOQ82Xdswvmz1+YNboqeyxDzH2MdD6Uzvkthvz0M2xhCeOcBd2+1dUhzdNjy/d\nmG035XM75B/qhzQhUOR6uYA76TRcBDg/dDP2fcVFXbKZ6GhnUcVlKLqS0U2B0FMsO27OHTfhe6b/\nbAcwVY5mVQmXdIsbusuOn7Ptptx3U35Z75Oj+Fm2wUqycT3pYl2Ilge+5p6fLk1fuhzpjb7LJcC6\nLmgpzRXTZk3lHPqar9I59okdUIjihvQeB3FEIH7XTfjYDviwOWQSGgrRXNUdfpivc1G1XtkRNCja\nktEWjUZhQ2AcGga+XgabP1qWSJ/8zA357/U2n9gBzXM2GSAuxVpEx9OF0HmQju8t33uubppG6EjG\nhgpc1R1umR7bbsq2m/KJHfD31X3+JN+gqzK0ZKcGfwcC8+C476ZMg102POI1ff5axkhpaWFUH+tH\nuHAE4powIDhP5XewYYwJq+jvCIADIihzluCa9KcDAjiLG+7gx3voC9cxWUnwDmyDmByyAmyFryYR\nrBWdCAJthYhCpBWB3rFSZBT6CoJhqH9FpvrYMMYdC82t3S7WTxAMSgoCDb3sB8dA3At9WMDT+CFz\ndw9Bkak1jOoj0sUGxdAFvqot/zCu+cW0ZtNEquAbpeF6rql8pO59Pnf892HF3drR+PDUe8lmpvnb\nfsnPO555CNyvHf91WPGLSXMmOt7xciGCmDu14+9GNZ9VliuZ5mZuuJarJeioA0u64YoWShWnaKe9\nWwC2G8/fjSp+OW24V3tE4N3ScDPXrGpFVwtNgMoH9tO2LxhFV6vHtl2FwGGaYA6d56LR/LidLQHw\nnbph33mu54Y3Cs1f9AwfzSyfV5Yd6/incWBFK75/bCAhAiYBx5n3tFI0w4pRdNJxnLjAvcbxq2nD\np3OLDYGR9+Qi3ChOX37tWc9XdVhSJq/mmg9aGWsmTsX2refDWcPd2vGLacPt2rFm4pQTiYD5adVX\nhkLaOH3ESlg0p2Lg+wIkH20sk0Apijaa9RDY0gV18HwQeoy85V+bAX9f7fGpndD4CnssDNsBh77h\nw2ZEIYoLOuMW7afv6FNKE/VuLVFPzU+NvgAKs1zrxGdLhlpqv8/iKLkEcqgkIzhuDrPI04OT2xSv\na3k8lnnYZ+zuAJBJB1GG8JwuvYvj1FcZ11JwujknXViGSuv2xfo6HmsHS5nH+RFakx8A4IPHB0+Q\nyGKLJm+KBsfMV7RUTk5GRxVcoAsB9vyIaXg82+486rUFcZGfremJ4abu8qPsAp/YAQNbc8dN+Kf6\nIWPfMAw1HckwovBJp/PAzfjcjvjMxcDKnsoY+9OFmZL43wa4YTr8PN/E1IqRbxj4hg+bA2zwzILl\nkm7RSiBrcSpa4vtWPhpX3PdThr7hJ9k6K1mevuinf+ZSNFu6xZZu0xXDnp/zwM/42B6ypnIsYdkZ\nCxx1+TxhOWl7dCoZww41m6rkg2yNeXC44Nn1FV+6MdQx3HLPV6n7ppeWr5bIb6+Co0rTpPtuxnXd\nIc8UhVbndkE+b/kQmAYbw8wXRKgUSLrva/b8nANfYYkXXoVj4OM5dPRZSQ+u2EWJugB9pAMTKInU\nklu6x8+yDT62Az6zQ+66Kf9S7zL0DdtmxqoqyNLU1aWA8G035XM34lM7ZBRqNlTJVd3hTdPnimqn\nzLJXUy2J58amiqLwfeLx+tKN+bA5xCSNhEHhCFg8I98wDA3/0Rxw202YB0dXZag0gX7W0hL57TdM\nl4/tAIMwCDWfuRHrTUFHDCsqJ0vdrqMOd6ArGVu6RV99nfoVHfeEjjK8mUx8/r3e49BX7Po5/97s\nYdOEbU0VkWd/7FFgk+V0FRzD0HDfRQrjj7MLdCVDJ0e/86plcIRojKxSqsvMQ8CF8fI1PlRY75na\nLxjU/4Y1I0q9hZYeSmJEKqhjAdpx2hMWV0ZYXiFoKV8JPfCJZWv8aA8/H8ZpnCik7CI6IzQVYTYi\nzEb4+YQwPcRPDpC8hZQpx8g7QvCE8X7cVjVF8hK9dgXVWY3bW94fFUbaoDfomLdZyX7GxH3G1H6e\nFiwBT4UPFVP3Baou8GGO9UMKfRmjemhpoyhQkseJKEf3i3jsPQFLCBZPgw8NPlR45rgwxYUZtdth\n7rbJ1Drd7D1EMrSUzLzhbuP4fO641zimPrCVK37WzrlZaK7mmpkPTH2g8oEHjZCndenTFgqFEi7n\nmktB0QToa8WHM0tL2WfuktsQdWf71nOvidO898pIT3yj0GxlChegSSBu6AK5RJrhilYnShurEBi7\nCAx/M7PcrR0tpbicKd4vDd8rDasJKB0HcQMXuJxpcnl8ErWgPraTDu+NQrNuFF9px0ezhnvpWLoQ\nuJRp3ioiSJ4l0PdV7Rg4/zWndUWc4KwnimgALmURYHZ0vKLHLrBaK/bSpG7Pen43t/yk/eS7xywd\n08uZ4kqueLc0vFtmbJhIP921RxT+j+eWL2vHg6TL62l56kQKopbsMSfHp1bcbnb0rwCshQyrApaA\nDZ5MFPM69TZuzwAAIABJREFU5stZjqIMZsFxx83oW8PP3Aoz75I+8PnXEQqhiFfiU5vlMX/s8Ulb\ndB5ebOOs73tyBvHiyv+WzeGwYc7c7zN3u8z9LoImiCeX3nODuFwUZXL27olJWsPzKZ2o1I+C7hAC\nXngEWr9YRWO7FgbNOMwZhhlFyDBo+tLmQCY8cId8ZO9wUa2wqjpMQ8W+HzMO8+hz8ZIWea8tiFtU\nJpp3zEoSEXt+n4KID0LFV4kW1Vc5HZVRB8coNOy6CDYcgRWV84bp8YUdnwmV39I9WrlBAjz0M3b9\nnE/tkAduxm/tIeuqYE0VKQBSHaMZRsA39DXjYBGJ0713s1WyM55KXcnitEzPWFU5v3eBbTdlnIxI\nPmoO6ak4qbOp29OkxeZf5pdYV5dPvRmuq4I/yTbI0YxDw7TZ54GbseNmfOnGy2nnauqUZChmWGYh\ngp6hrxmFhnGw/Hl+keumyzolxSu+UTkC+77ivpsyxzEPMYKiwXPoaw58xR03oQqeJlFdt/2UXzf7\nDBKtcQGMW6JZTd/vChnZsQy9RUfpbdOH8iplpdnzc3b8jL+vH/CxHXBFt5fUXyXC3DsGaQr3wM04\n8BUGxTtmhT8tNnnHrNBbTkBfTbXFcFV3uKY7rKqC227Crp9T28jp/70dsZquryo4psFy382476YR\n6BBoiWFLtdn3Fbth/vQ3faQ0cVLsCfxK71OgOfQ1Yx/1FXfchDVV0FPRdGixMGiC56bu8jfl5cdA\n3KKydLy7kuFC4L6fMguO39hDHvgZv2oO0jWdU4ohSxqHabDL625xTa+rYnk/yYN6KQNoQZOrC7T0\nzRg67e8v/y5g8cEzsZ+yU/0X+m6blewntMx1MrUO0l4CucVvREpMtI52YZaASUOhNtH69QJxvp5h\nd7/EHWwjWiNFB71xA+ltIokiGZoKPz3E7XyOffAZUnZR3XVUewVprRCqMX7wAD85JMxHqN4GyuRQ\ndkBnSVO3KIWSkl72fQTNw+r/Yu5uJ0ONo0VL7R8yaGbM3T1G+iNa+gZtc4tSXyFXFzCyEkH0Ig80\nhATcLD5McWFKE4ZYP6L2e9R+l9rtUPsdGj/AhhE9830ytUKu1gmhz8QHPq8sv6sss0Tz+0k7529X\nCjqJTuiSwUkIUKQVwt3m7IY3EYTE3zUS6WHPekpbAhMfGHtPneiC13PDe6VhK1Osm/iM9AGaoLGE\n5eK3peTEBd3ER0D4ZW25UztcgA9ahp90cr5XaK4k4xIjcbseuJ7MRHr65G1GfV2gr4V3S8MHrYye\njqYqG0bz0Hg2jeJyrrmea24VhqGLpii/mwW2rWPuv74sV0RQcL3Q9HWczhZKlvsGETx2tHBgPXUI\nfFU57teOsXvyczMQqYtbmeZvegXvlRkXjFpq8o7otLBjPberCKB3rUdL1AR+k7WY4N3SbXpFlIM8\ncBWT4BiHoxytGs+ej6HguykYu4t+QRC3MM1RT32WCicDL52AYLact5ytTmZkPXtUw+tQdRgx8XeY\n+V0aP0EtqN2hIvB8Rlol0Uimkyis59nyX2QPn+TpcJ4ADqCUnAuqSyaafT/moR/SVy0KMWyoPrt+\nxOfuAft+zHvZVa7pCzxwA7b9Pnt+RE9KijO1Vp69XnsQZxAu6zYaYcfPeJgmKwe+5naYsO8rOsrQ\nkmzJhbXplrGuCt40vWhw4ioOQ/3U91tTOR0x7Po5B6HiczvktpswC47bdsIDmdFe5q5Fb6I66Z7m\nwVKHeBNdlWiQ8iymIUUKGL9hurxnVhn7hr1QMQ2RHrrr52nkb1j02CHeSN41K08EqYvF+sJgQyHc\nSQv2vfTTkYx2ygEzIlTBUxMForPkXLjg/h51oV4tldLiueMm/LLZZxrsUrvU4BgHyzhpI2uiU9HU\nx8nYf8gB99w0UStiR7KrDNd1l+u6g9JdekRgcDxee1OVFJli4JslpXI3gblRaGglSoYg1ElcO0qm\nIRdUyZZu8dP8Aj/NLnBNt88Ulv4yqxDNmsq5pju8n61SBctO0pB+Zccc+pq+iueFTS6UI98wDg2X\ndZs3dJt5CjgNBA599cz7EOkW8Vi/bfr8OFtP52XFjpsxCQ0dMXSSc+zx814jTJ8wZddEt82OGO5n\nszSFHXPHTZkGx+/tiG2Z0lGGHLWc6NepITALDhs8RhRrFMsHx8s67wWTXBPfpfa7CJ+kz7vIh3NU\nfgff1IRQE0LF3N0h0+tpMpTB0jPNx+kPNT7McWGOTxq7fvYjCn3xpXyG5y7X4KcD/HAHdIZqVaje\nJnRsnMTVM/z0EAi4wQ5u8ABVz5a/rpQhzMYRwE0HhGZGKHspW4+vPdUXnXgVDKW6gsoKKn+fubtH\n5R9Qu51kq+3T1GyaQNgOlb9P5R8kELeOkT5Kynjs03ZDsPjQ4JjhwxQbRjR+ROP3joCcf5gy6moy\ntYoLE0KwkDRj9xvP/cahiBTIawlcHCe9hxC4UWg8gc8qi+bpi5flmZtoc4ufk8n0T9/WoiOeK0Fc\nBHS71lNIXFwvXB27wpnovxMX2G489+voRtnVijdLwwctw+VMs2qefSm4uIJKES5lEQhGPaHQ1UJH\nCStasa6Te6YW1tPUzkicNjaPmCwtpn0rOv7uaeVC4GquuNto7tSOoQ1UxxynT+rQG4kgdzNTy6lm\noWSpUc59QDAMXKCtauoQwfTAeVafsC8vqxbHYlVl9JRh21e8YToMg6VxgSbRlD0wwzMIll1f89BX\nKFW+EKlyMV07SxPitFdEY61nb2Q87bXfLiAXnzRKMjLVYaGFO1LJL567Zz9CuUSznJao5Lp+fs/N\nR6m+j9Z5Hvu+tHjTXMITKI8191tScN1sMA4zvnS77LgB89BwV0fwtu/j8Ohdc5UN1X8p64bXHsQt\n+LQZij/PL7KuCj60B/ymOWTga8ahYeQatFRJ3Gq4pjq8Zfpc0W0uqJL7fsrvmgGH7ukgTqMoRHgv\nW2VV5Xxmh3xsB9x2E7bdlIGvGfiavXRSK5El5awjGVsqBgpf013e1v1lgPhZShONTa7pDn9TbLGp\nSj60B/zejpgGy9DXDIi8WiMquTLlMRbhKbNaRexUXdFt/rrY4pbp8js74DM7YttNeZgW7gO/4O2G\n9B5RCNzXraXxy4+zC2yokjKJo19lNcHziR3y36ptJqFhkuySfaL+2WSDXId4I5omeuPINxSJSx2j\nHWBFcr6frVFlbhk58WhF2l3BT7MLXFAFH9sBv2kO2PZRB7nvK1wKo9cIuWjWVcGGLnnHrPA9s8Jb\npsct3TvXwNPnrQWF9Lrp8L9wmUuqxa+bfb5w8ZxbTKOFSCkoUKzrkhuqywdmjQ+yNb5yEz6zQ8ah\n4SsZP/U9Hy0hWjz3Vc5PsguUaD60B3zYHDAMTQTn3rLDPJrwS+TC91V2JpqCSdz5H2frXFItfmcH\nfGwPuZc0cuNg2XNV0t6FKFhPlNoVyVnROZd0izd1n1u6mwLEX85CSUlGS1+HzDNzXzKQMhmcHHVC\nfZjReMeoaZi7exG8SY6QI7KQ7PtILUz0yRAc4BHRaOlipMNK9qOX8hmeuxZmJT4CmdBUhGoSKZTT\nQ/xoD2kqwnxCmI+TqUkyLfGOMB8TXI1kJdLVIArV30SVPVAZqJO+M4VWXQox9LOfImQc1v/EQfhH\n8OMEehd3xJrGD/Ghofb7jO1vE50yg+N0SuCIUGUTjTXRKRNF04cKF+ZL6uaj1YTAwEZ3x46KNvId\ndfISoKuErUzT1+pMWqjzrEIi2Nk0inWteNA4fjGpedA43isz3ikN1wvNleTseJoT5fGa+RinsG/j\nfbSnJNIKM/3Mmr1HS0s0gymULA1AMhFKFWMAOjpaxyNxXzPi/SnS9J/vPVUCZN30/dUhYNME8TTg\nXIpwwSjWjKKjVATIxz8H0FYRfGaJQlsls5OzRN68rFo0di+ojPeyLqPQcOAjg+d4NeFoItcRwwZn\nd0I9XguGzIvCg2W80ytvS7+6ylSHdrhELj1sqHDpPiXLRvOz+zkvjGQWUohva22oPj/ObuHwrEmH\nC6pLQUYhGe+Yywhw4CfcDrvsNENsHZkcRhTvmav8af72H15O3KKURNODQmm+Z/pc0AVdldERwwM3\nZ9fPaUI0eW3bitVmyJsm8IGscEUZWi7QD8IHqkNHDLdMl000xewhzeQhYlqIaUW9BIIyJUqXXCJj\nQ9qs+Cm9umbTW26j2HGeQT1gLhDyPlq3KNG0Q6DXTFkLc64XLW6Ykuvek9djtClBl8ltLRCaEb46\nRFSGZJ24GAkBlMboknXJeV/36LqG0u7Rr2ccKMWQwLwZU9sZZbFGWayxpkvWVMkFVT4RUDkH8xq8\nM2zSowgFWchouQIzGWGrCZVpqIxdRhq0laGtDHljyOuMtzod3ut1ecv0ovbrFH6zEMOQe5JxS3f5\nUbbOuiqWphDnXVqiuLQgdqQfPQybZ9xOITppHU9/JOSiyUVzQ7psqpJVldOTjC/dmHsJ5M9CfIzm\nEo1qLiYN3PvZKm+bfqRrnkL/+9rnSsA7hs6vcEEVrKuC67p7aqjpqXWKVf/iwXVBlfzAxFiPlmjW\nbM6erzj0dXR5wtMiTsOumw7XdZcfZKv8wKxFvRpqmcly0/RoPWH/FrEZcbJnaYIjS8YqF1VBnq/i\nsMxCnLgPg2XiG6YhLqiNeDoCq6LpisIHx9hXNOnMNRxpNaO+zSWdhueyzgh06SSLYk3ULdaQ8u7i\nvUQRkjFK1Ate1i2u6halwCTMaNBkwZCl8+G8SjDkagMxmo55m655h8rvULmHhDQZClhcsI/RLRcx\nBUfLzkdJPYKSklytU/u/Ord9PrcSiYAsK5C8jWr1kKyM9+asRNJ/i8lQnVXE5Eiri2rHf0eZZHRS\nJpfK9Lqyi6iTDZhEBJ2IVB3zJkY6BCw2TKj8fWq/hwtTfKiW2kIf5jTu4PH9f67SSc1TIGSIGCBS\nJSdJk9XLhFV9ZDf/aJUqulW2T/n7l1lGoCPCxUzzTmmYpWnQV7XDB9JUzvAw96wZxaoWelotaY/C\n466wdYBDG5h4jyLSEVdTft3z1gIsaVnQHeXY/4sTwyL9aDmi3S0mX+4EJ83FLbUKUU8393HC1viQ\nMtIiUBu6SHfctz7p7iIN9ElL4kIJBUJPKQp5PI5AySJe4WjuHq3t4/ZfVS3cA1dUxhu6zbae89EJ\njT1HWE7jrj2nKZYc/5EXZwUtAfW3GW28QBlalOoCTcgRPyLqgpun/t4TtymRpvqoG+i3rVZUm7fM\nFh5PgaElxXLNsqVWcdpzzxwwCFN23ZABU1rk9FSLt8wWP83eZEuvvpShx2sP4hYlxGBqExQ/zRQ3\ndZdZiJoZHxwhWOTwU2TvQ3oqY7Nv6Rar6ODJdc7/Xq4zKXqsqZLVZkZ79/9jtvcbdO8GunsdURno\nHN2+jO5eATdH6hErwy948/A3XFIZP+xsMbVzZoO7eNPCbN7AlNdiD7Y+RPZvYyZ3WVl9j5VeQZdR\nXA62t6C9BcERvMUefkL98BeoYhWz8haiS4JvUFkX1d4i0zl933C9GlEMbvP29D62exWb96hHBzTT\nB5Sb65Qrtyh0SaELtpIL5mk1nQfu7TpGU49SELRQ5G0uO8PBdov6sGZtXVhdBRIQahlFK1PsPAzc\n3wlcvlLyXrfFls6XlMGTSiN0VMZ1uvxv5XX+JN+kQC2njOdZpWj+LN/kim5H3eQLhCBnKFZVzqoq\nuPAUsGkQ2spwky59yfkgrC0nfo6jSVyW7Jo7krGWpqZnpVDmollB+FG2zpoqmAdHIYo1VZw4JXxy\npSlHAJD01Dv6/gxCT2XcoEtXzNIE53j+m0mfpyOxibKuiqXLZkeigchf+EtsqpINVZzac/J4pqFm\n6Oc89GMGfsaaarOiWlHTiKWv4JbOeMuUFJIz8TUHfkZFbDKUolmRkstaY6m45w45CDOqYOlLSUdy\nBMETGIY5ozBn7hvmwbKiOtw0XURqFDO6ssoVvUoAxqFi4GcchikK2FAdepIjeBwztn3NIBj6UtJX\nJWuqTS4v7rB2VDGIOlMr9LMfgcBh/c8chH/GhQk+VJxOFFlouYRvpSpDJR1cbxO9dhW1chEpO0hW\nkmUlev1qBHmiwVuCt4jOwBQRCBw5usQ/RSFZjuQtnr4yk6ht0zlr+Z9T6C1GzYeMml8zc7ep3AM8\nz673fFppKTDSS86UPZSUiGgc0bCj9tEBbTE5OqmMyHKh/00vlBZg53Km+M/9gpuF5tN51LINnOcf\nx45fqoaOilq5m4Xm/ZbhB60sUjBP2GEXIhhyxOy6s07wzrKvx39O+hwLAHdSPQbi0s++9XxZWe42\nju06Bp0vQF2dAN7ABg6cZ6dxZzKPWQDLTB4HuSd9ruX+vSaXfAvNJZ2zofKlXvN4eaLr7zg4mhfY\n6RefwS228weL3ZalJCeXLo0bUfkDmjBlYYgV69mP0EKveJrz+belWpKzoXoEAjrJLkzyqS8k45Je\n4S/yd3nPXGESKqrQkIuhIOOi7rOpVminNcl517cHxIlQEt0TV1TOG/SWfxfcnGDn1E5RzQ5BDFl7\njjIN+IaeGK6aNXRxERCc3WE6uk314B/JvEWyPqJzRBeEYj0uApoJYbZDe7pDPt2NgIuc4A1NNUec\nogglxqyBGJz1VNWUZnCHzKxhzAqIIigNxVra0QDB4WY72L1fo8p1RDRSxNciggoOFRxFM2V9fkB3\ntI2bbpPpHirkNJMD7Og+5Yql1CuIaYNpP/VGX9vAYOzZG3icB6Oh185p+4z+TsGFfcfbWcatrsY6\ncC6QZ0JuID9wTLYb1js5VyhYewrnfuGIWWrNhi5f9Kt/YuWi+V6iKX6TFS9i2NQtNl+SQcTCPeyW\n6nHL9J7+C0+o4KN9e7RuT4vfvIgL3xCiLkYUpeRsqIwI5E9YFJ9ASVuX4pkmrBbPwM/Z9WP2/YRJ\nqMmDoQiGWWiY0tAR4S3ToRBDS3ImoeLQK2ahpsItoxE6Ehj5KUNgP0ypgmVNtegmG3gfAnPiFO/Q\nTznwU34gOVuqhaNiGjKu6y4/zi4hCAd+ygM/4p6LlsErqsCgGHtLFRpmKGzQ1GKZhZoczZo6PxAX\nO9kZgqJj3saoPiFYGj+k9ntYf5gcDhtCsEu65ONyekn0viT9Fo2QoaVNJuuo182ZEhCdIe0VlM7Q\nGzfQq5dYNhxaffRJ0+Tj52jwR6+P/3PxopOFR1/bjES3StooKSn1taR1yzBNdKK0fpj0hQ2BZun2\nuaBOHr3fYsZy0ndgEInWUSKGTK1RqAu0zZvLQPEFXIt5jMfMGJ7wEeQJ4ONl1mLysmYUHa2W7oxd\n3fC7uWVYObZrRxViVtt2owlAVyk2sxhB8Cg4PVKAsjx657JQl9NBHCxYCaccxxNOvZmP08IvKsuv\nZ9Hmf7eJLpTzEF1Dm3BEc5yliIPsDIhUE6ds2ROA+Umf4zXBcBSiWJecFRWdvB8tH6Ir9kJz/Lz1\npO/zj/VspcQQzfKjQZNCJ7fcIv77c4E4Of9M1VdQBk07afoezXxWaFalw6rqENIgwSew901EAH1r\nQNyTKtgZbvYQfIMqNyPg6r+Jal0EfKQt5j2OLnVBVI5kPXTvBvnGj2OOkChU3gcxhGaEG30J3mJW\n3kK1LmJ6N/HVAb7aJ3iLbyb42R7SuoDoAtElqAxfD3GTe+juVXTrEpJ143uLju+rSzAtgm9w0/to\n0ejuVVSxFrUbdo6f3seN7+DrAaGZ4Kb38c0YN98luCm+PsTNHqJaGyjz9E5zpoVeWzGdBx4OPPMq\nMJnFpce8iYCtUwr9jmJ/6BlMApIeCaOpjw+471Ak1R9cOUuo5vjxIX50gGr3UOuXEG0IzqbTM9pe\nB2fBe0RHal7wDnxA8iICvxesOlh2/JAHbsSm6vKG2aAlGTmaL9w+992ALdXnlllnz43Z9kPmoaFJ\nU9ZIeVV4PKNQcRhmy8mnRjH2FRNqPHGKcUWv8KbZ4NPmISNfUYqho3JyH20gwnIJHmjS3LEQgwue\nQz/DBkcVLLlobqpVNlSH+37Ijh+zrs53snxUglE9RDRr+f9Mqa8wdV8xs7ep/QMq9xAbhlg/xjPH\nhwaWU2iFkgwhQ0me4gS6GNUnl3UKvUWpLr+k/X7+kqxEr10F1yCtPs+8NHvsgfl8CwclOYYeXfMu\nuVqjZ34YzUzcg2h64ndp/AGNHyaq5RxPnUxJfIJw6WyUAi0FWjpo1SGT1eRCeYFMXaBQG+Rqg0Jf\npqWvoaVNVGT6NKmSZNh1uibLhkV49qszNRcivW/NCO+1DBczxQ9bGQ+t514dYxK26zix0hKnV3/W\nzVnt5I9N2RZUQUWkVlbJ+v91q+3G8ZtZw2/mlo9mDRnClVzzfivqF0sVXSpnPoapf1HFOIPJGcV1\n3+Zlb3R7VlE3f8ICPhCwC/rnK9i/P9ZJFeFwqdYQ870lq8NIC/MaNv2+ybI4qtCgRFFweq4sHNdo\nfjNX8HcDxLmKUA0iJTFfQbcvoTtX0Z2tk39BBFSGZG10ewuz+vZjL/HNFD/bQUwH3bmO6lxBtbdA\nZajWJr4eEtwc3wzR5SpiSqRYQ5cbiAihGRFc/bX2aZxiKFTeRbcupgnijOBmyUEtXkTB1/jqADff\nA9fEiZ6rQWaIMqisl/7fLJkAPL0yA/2OMJ0rDkYB6wJVExCBMheKTFjtKfodFcFdAOsCzoFWwmo3\ngryzGF8dZSRF/YhPFrULcwZBEMlR5GmxmT91kvg8teiU+6VAN0smEIvT/vnf0/kJNkwQ0SjK9DnM\nsRyq16uC9wRn8ZMhbneb0J1CXiBZAbYGhGCSu15TR+qvivqc4KLRhGIFsij1f5HvK07iZhz4KVf1\nCpdUDy0qkgGd58BPuaJW2FRdhn7GwM+og8MkhyudbpNxcWsZhTkBWJU2mWhqHE2IP1qEm7LOlurz\nQA3jlFgEQ5wI1CkDsQmRBDsNNXVwy77j2FdMQ43Ds0qLddXmql7loR9z6KfMw9muv2ctEYWmjaJF\nP+vRzd5haj9noj6NYE7dXoKJ45otIIGHPAGIFlo65GqNTK2Tq00KtUWpzwfECRojPXJ9CSUljT8C\ntbm6RKYuYKTDWa41yQp09oQmwdNGUedUSrI4gVM3aHMD60c0fsDc32Vqv2Du7jL322kyOkw013ma\n0DkIIRnMZGjVjtNPtUImK+T6IoXapNRXKdVVcr1BrtZTPMFRaYnh0aU6ymI7DtKOf9om6efqVwh0\nFlOsXtK83chjS2HiA7+vLJ/MGv7fUMd/n8fst4uZ4k/aC+uQozIS3SwziXEiMx+YB6h9QMuRTu1V\n107j+LdpzcdzyxeV41ZuuJpr3i8Nl3LNmo7OnGMf+PW0IZeG7cYxqZ8OW+SRP79ttdBzZ3J65IMn\npDiP1w+g/yHWAnTkqk+u+q94b16vmoaKh35IhmZNdWkRo7jUI+s9OWcHzrPUdwLEgYqTNISQtBJH\nXelTSiK95bSHvygNKo9gyTeQTBUIPgIrb+OCXUVLbzFtsgs/RLcvElwFdoab7TA//B35pT8j31pn\nkd+kuzcorv41oZkQXIWvD2l2/gXfuUx+6c/S+xpU1kW6V9FcQ/duoFqbBDuLE8f2Frp9bMr3lMoz\nYaWrMFrod4V5DUalNbuNt9ELfcVKVzBas9aTKL4OYG2gsXBhVVGcJGJ4rBwuzGj8AWP7G6b2M2wY\n4fwkgRxF27xJW79Boa9S6qucb3RyLBvGWH/I1H3OpPmYUl9lNf8zcn1Wq5PTa2Q/4qD6OzK1Tse8\nQ6mvkuuLaF7PjpWYDMoOkpegFH4yINz5LE3bTqjgCc6l0GWJYO/iNXTRitfaab93htIoOlLQkowH\nfsSkqVlRbbqSUwdLR3JGYc4ndodDP6OQGMPtCUd0hrStDM1K6hJqifEDfSkxKk7kqmDZ9xN+ax+w\n48Y0wUdqZZiy7yfs+jG5GHb8GIdn2w2ZpCiSOixMTuK7ZvJq3FglxZAX6jIqa9EyN9P1ND2iVn7N\n5VCWkyARk/J+yjSRaydQd+Fc9k1Ll7X8f6LQl1Oz5MgB2KguWnq09Q20nL+h0TdVSgoytYKIJpMV\nOuZNbJjE3L1QE0ITXSjxiXoc4vMFlaahJuXIFen4tzHSRUs3Td4ev5aMQF8LXaWYpLiBScope/QM\nHDvPg9oxdM/voPgySoBSol7OkDH2cfpyt/bcbRwjd/LyvSXCRaNZ0xHsjL3nQeN40DjWjKJ7HgK5\nc6ihC3xVe+Yermaad1sxH++N0tBRQqEiIPUpb+7Aeeav0xf0Eis8QvR+tBRRX31SWPMf64/1utWX\n7iH/T/URLcn5obnBdb3BmurQfg2ea98NEKcUootIp/FNnG7ZGb6ZAkkYrLIoiE8lqES/OWVyIibq\nzQhxUtZMl9sNbg7eJXvrHBGF6BzTv0nobOHn+/jpfZqD31Lv/BO6cxnCn7IwqlblBVSxiq8H+PkB\nfvcAu/8hfr6HWXsf1boY6ZlZDzFtxLQwq++gezeOpEqSwTNY1GdGyIzQa8OlC8ePQ/rzmLSk14aQ\nXnP89nrWBmjAYcOIub/LsP5XDut/ogmHOD+CtLBczX8OuUdJSaG34CWAOB+m1P4h4+bX7FX/jV72\nQzrZe+Rn9qs8vab2E3bm/yelvg6ESMFSq+jXlXagNaJUAm2BMBniDx8CCxplINg4VRJjIAR8NQNr\nozlEu4vq9GHtYjoRXgzE9VRBLxQM/JyHjNkKDZs66v5WpEUdHHfdAAE6UmDFJRfar2cvqqQbjBbb\ncfK2mjRx+0wZ+hnT0DB1B4xDlVw0PZM0YZuHhqmPJisWx8DPqbHkYlCiyJdzP2hJlnISI6wqxDzm\nGnfeJelYC5pCXzyXbLcQAt5BXQecjdP2LBPyHOQZLdyN6rCS/5QVfvrC+/VoeR+wTWwiicR9Myb2\nD17G5P60ilPNSLHknCaYT6s8WfevaOGgjoYYh84zdT4FcwPJ/fDAee7UjkPrlxq6J9XRwC4s/3na\nz9GbzritAAAgAElEQVSL41YfPewxzuXr7o1CpEQu/lxLIdW71nBoPQe24cB5Zv4UEKeEi9kio02Y\nuMC92nG7dkjSiS00ggszD0/80UQA/E2cHRMfeNBEoHkj1/Gn0GxlR864PsA8hGUQ9/w1pIW+jPLE\nIHh7ypxNgAyhOENA9x/rj/Wq667b539UH9GTFl0p6akWXV6u38NZ6zsB4sS0Ua1N1HwP6xvc+A41\nAcl6QEDlK1Ej176UJnZPL1WuY1a/hxvfwY1u46cPcOM7BDvFTe9HJ8l8BVWuQfD46Q5uchs33UlA\nckpwM1SxiiyML1xFcHPcZBs3vh1f4xv87CHoPE7VlEFMC925CgTs4SdJGzdCDT+H4CPVqv82ZuXN\nBESf7SZ4lle/yG3VhSlT+xnj5kNqv4eWNh3zLqW5AiFuuTTXKPU1crV5Yif6/OtIIv8HWXWFn0/x\nw338cB/qeWxqCAT79fzEYJuYSWFtdAG0QF1HcxR1+vT6rJWL5qLqUUpGFSwNjl5ylFyTFpWyS7rN\nwh4iknGPpuvH1K3L6ViDRyF0JCcXw6pqU4VokRwg0Swtq6rNmrR51wgrCfBd1D18CKyrDg6PTopQ\nn0TKIJQY1lWHTDTXzRo9VXJRdV/oWLyK8h72dj17O577dx337zne+b7hBz/JKV+jHkQ1D3z2seXu\nl46iJbTawtUbmqs3von7xautjhLeLDSHznC/cdxvPL+cNLRSJtymUVTJ0v5X04ZfTaOxhjsjNW1h\nHmIDSz2dCwEXBBtiltnch0Q/XuR/PV5TH9iz0ZFxmBgdfR0DtDOJhga1Dwyd5+N51I/NQ+Bqpunr\nU3Lv9MLJ0nEl0zxoHL+cNox94INWxhuFp6OFUgQHND4wSNOuy5niSq4pTnG+PM/K07R0YAM7jedu\nHXV/0Y0vgrd96/miitq5ryrL0IWXkBT1+lUTApPgmAV3op5RSQRwbdEvvRH2x/pjvWjZ4JmFmp60\nWJE2q9Ih+0bWrU+v7wSIU6YFpoUb3wU8bvogAiMhOu91riJZF1VuHIEeUXHadsoNRBVriGnjq0P8\ndJvQjKMLZNKsiekg+QqqWCPUQ/z8Ic3+R9jDT0AXiDIEV6PKCzGHLv1eaMa40e+pd34Rt6PzZJVd\novI+sgRxV6L73P6H2NGXyGwnxiB4iyhDrnJM/1b6LGe/CT7tpedxP3VhxtR+zqj5NS6M0dJmJf85\nF8r/fBQ6vHRpK18iiFtAAB01a2I4fTny3a5QV3H6Nh4QxoOo22l14xduG0DAxDSX4JroZOkTnRIX\n/5sQA5NfGMQZNnWPDbpLU5HjYAzguFJi8S0+8fMl1SWPbOvR7Sz+Hv5/9t7ryY4rzfb7fXvvzDx5\nXPkqeA+CZDv2zPT0mDt37kzIxNWDQk+SnvXnSQ96UShCcWNiriam1dPTht1NNh0s4Qvlj8/MbfSw\n85wqAAXCdIENkvgYCBBV56Q3e+21vrVgSbe4zNPM1ous+6Se56Sef/7OvoEVPGxvem58UfHxbyv+\n8GGFrRpcfi+hkb8590YxgeufWX7985LuvDC/qDAm5cRpfZQtcG9ktZRwPjP0XeDXumJ3YvloXFGE\nwHt5wqXMMPKBgff8YWz57ahi03p84JmB36HuqZtmmFV1n9nARzdFSxx8V7WTYt8FUhVZQSMhMlyh\nvifqEzDygQeV43bheFA5bIATiWIp0TSV1EyaZ8t6Ph/HfriuFk6n0cXyMNOLllLkKZzNDCdTxYZ1\nfDKx3K0cYx8Y+YRlo+hqoQzROORB6XhkPT9qJsxphWheyMr/j6mGEha0YuAcm9bPZKKmNmbp+8CX\ndQ/g1YnlQeUZOk/nRRrLv+Fl8Qy9YxQOn1hQMANxh7lXvq239SaVw1OEChHoqpyuykleNqv3NdWb\nsRVHVLq5Rrr2V4QqBhXOJCDpHLp5LMoPRSEmJ1n+AJWvoOeeNjWJX9IziST8PbgCZictoLIFVGMp\nshmmicpXSZZ+iG6d2AeKtXVuZMwkSj6TDqY7zYaz9Wdjr51qLKHS+fhd0ahsgXTlzyIrdzCXTekI\n4L6ip+9PWsHhwwgfRmhpkaglErWAIo+jgJkoTs3CbV9HaWmR6eN0078gUctkeo1EfTMH3n9sSZqh\nOvOYE+dRrU48BUltpuBrEdY0ENk7QjHC724QJmPU/DJqfhm9uHYkIO6x7Zreo4f+7miW9Spb+wbe\nVW/rO1SJCF2tOJNpftpKaYgwDoE7pWPPBT4ZW4xE6WAm8PedjM8nlj+MK/JnmEn0feBh6bhbOm6V\njo3K44hg7bOxZb1ypCJsKo/vBa7XTpIa4WymudgwHEsUK0aT1TeIlujCqAT2XGCjctwtBS3VbAJk\nGkQ9cIGTqeZiZrjY0FxumEOn76T+czxR/H0nYzXRXJ9Ydl1kvHquJK33fVqubjMYezNjDl93nUw1\nf91OWZhYPh9btp3jX3oFbT1lL6WWlAoftFIuNDy/GVZs21e31P+m1Cg4HvoJG66kOCRCwCAsSMqq\natB8wdzUt/W2/lTVkIQl1aEpGeNQMQgTjOg3go37VoE41TxO2lwD72u759qgZNb7Vg/yTJNk5QOS\n5R89e0AqCiRFd86h22ejW19w8bH82DKZ9a2pxhIEF00hCIgysXdN6teSSpE0RSctdPdcvUy/b5By\nsEdPFCpbRK3MkwQfZW3B12Ys9frfVCdEPC4McWFEopdp6BMkahF9pKHIz69oHNAiU2vMJX9G3aXx\ntW7DG1NpA0kb6NYc+vi5+od1Y80sB26/MTIMe1R3rxL6u5jTl9FrZ5hmGR51HdUS3wKvt/VtKSMw\np4UzqeGn7Sgx/MWg5Hcjy8Bbxj6waGLO2t91Uv6uk5GIsF5FV8tDQZwLXJ1Yfjms+Nd+wReT+I6c\nTqtN/ZEBrk0simL23b/tpPxDN+NHzZR5rcjqTxogV5FR6znPzcKxbT097yl9lETnStFRwplUcy4z\nfNBM+JtOWjN1h++/Ak4kmsWu4kxm+IUu+f2o4mZhuV85RrUbZ1aDyFWjWEs1Yx++Nq3FyUTT7GSk\nStiynmsTy6djO5OhLhjhXGq4kht+3EzI6s99J0CcdzxwBRu+OBzEiWJeJazp7C2Ie1tvfOWSzkDc\nhJJBmNAOjTdi0PEtAXEHm641QQkSpmDooB26PP6d2Zi1Ni9xY0BqUJVF5ix4CBZfbOFGD0Akgqtk\nDjGt6CRJqPvgBtH0RJIofRRdsxu+Bnc1wPMFwU6iKYrJ4+DYW3zVw00eQnCodP7AOjJQggQXYwl8\nWS8/GqugkihTDL7+4wi+Ivhoqy+mFT+/f5COtAq3ztB+ysQ9wIeC0q/TK3/LxN3BhgGlW2fi7rFX\n/vvsO+3ke7ST96PlPxkuFPgwYuLuMbI30NKiaS4BgbH7ktI9woURgQrBYFSXlrlC01wghiMbAiU+\nlAztFwztZ7Vzn63nQ4WmvkAn+RGpPtyZL9TOcj5MGLs7TNxdKr+DDbtMmcNoEX6MiXtAwPNkPKwP\nBS4MKf02hbtP6bfwYYQLk/oTgpYcI20a+jSNOhtKSV4D3z4je5ORvUamT9BJfkiiFohOg48Pzazv\nM3a3KNw6ICjJyPVZcnP6qX2b3QNPnv8QDqeushy9dILQXkC15+NkyGHf/yPqqySSL9u7+KzPv0oP\n5It+ZxqlQfCRvaylzigz+3d0wVVPT7oEH38f/H6frqviM0Kn9f26H7KO6K/VzONt/Wlreq4bCk6k\nGi3Q1Yrv5QlFCJQhSi5bSrjQ0JxONT9tpywYxaJRnEqjwUZ2QFvZVsL5RjTjOZYoNl4CTJzLNJdq\nJu6gTDFVwqIW3skMCfBeI2FUyzNdLd9MRMhEZtt2LtW06giBQxn4qeAEyIgA7UfNhJVEsWUTei4C\nREdAIyQCbR3lle80zCyeQICOEk6mmr9pp8xp4VSqWTb79+GyUfzHTsb38oRVoziWKBaMwgCrSYwh\nyZVwJY/g86BUNVPCPIp3GwYDfNBM6LsY8K3q7y0ZxWqiOJnG3q//PNfgh3nCD5vJoft+qWH4z/MN\nbIiSzLOZoX2IPlZBfR41//1cg/fyhCsNw4WGYf5P6N7pQnSl3PQlX1QDbtkRo7AfqaCAFEVHDIsq\nYVEl5G9B3Nt6w2tNzfNX6WX2wph7bpsqOMamZC3Mkdc9+OorCIJIH6ingsKPor4lIO7Jerk+sejM\nN8KX20yjByTpxoFUsAQ3xo3vU+78FhGF6VyA5mlU7U4ZB2QlvtzFV32UaUPSill0EAdmvqoHbRW+\nGsTPJR20acT1+wI3eUi1/VuCLzDtC5jWaZRoRGUREBJmQd+i82iYYqi308d1hBh/4O0QX/VQuolS\nST0Ifz0sVOEfslX8M3vlr6j8Hi5MQ3BLxN2vAcgvkAOX2/Hm/0Km1xClUJLiw4TK7dAvf89m8V9I\n1AqrjZgdtl38v/TtR5R+A+9HKMlp6FMcy/8nMn1sFpDrQ4kNffbKX7I++T+p/C4+FMRhuWG58d9G\nM5VngLj6SsCGEUP7Kbvlzxna64ztzQiGMXSSH9JNP2Di7hGtQh9/AflQUPltRvYL9spfMbCfU/oN\nrN+bMampWiLTx1hI/wNaGqCWahDXp3AP2Cl/xsbk/2Yu/QmZPhZDnw85dzb06VW/o1/9HhCMdFnK\n/uFQEPfSlWbo5eMR5L1NeX92+TjJE+yEYAswDTA5uJJgJxGA6bSOLJlKh0OMQrH7LrcIhGoMvkSS\nNpI09+3qdfLUdfa2vhuVCbWEMYIFx+PEuRAH84nAWqL5s1YyG+BHKeR+dbRwSRnOZ4a/CSnuJYwS\nY5/X08tsCKRGMacVFxp65lL5pJeF1BJHXZt+vIiDpCL2963UwOr7wcyCNA4uf3ocpvudHFh2Rwst\nrVlLNH/ZTtHEXrZprSaKf+hmuBBm2zaVY64lkem80jA4MjJ5vHs7E0i1cKWRcDF7etsO7rMBEDiR\nNHBA9gzJ66XMcDbVs2aQ6f48WUIEecdTzf8wH5dpJMoU/5QJDI5AERwbvuALOwVx+1maGqEhmq4y\nLKiERZV+V7Uxb+sbVMf1PH+dXuETe5dfVddZd7tRKm4CS6pDh0YEaV+hjothZEf/Hv9WgrgXRboh\nOEI1wNs+vtjGF1tRFqmbETglcRAVgo+B4nYAYgj+YFinj6xXzZAFO8QWGxA8p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dl+08T7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\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zy1FmCTUg89h7X2KvfoK9fxu3fp/Q34uB3rvbhMkoGqmcvoC0OrMQ9KMqG2DoAncmln/f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\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h98VAjPXJ/4t5+DNDrUBVjG6/6M98/+ekbEmPjaTDT5PtxZGmyemZSz2V7Yz6fY0b6Mm3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\nbdAfOQanluFUmPWFtNgh3f0rOp0dOh99tDwu+8Gn9KuM0bEwmFe0G5q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sFauJYTV59Wdf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\niheUFcR0S9PZIN//O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      "text/plain": [
       "<matplotlib.figure.Figure at 0x26ba7f93550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib as mpl\n",
    "from wordcloud import WordCloud\n",
    "all_words = Bag_Of_Words(ListWords)\n",
    "ax = plt.figure(figsize=(15,10))\n",
    "# Generate a word cloud image\n",
    "wordcloud = WordCloud(background_color='white',max_font_size=40).generate(' '.join(all_words.keys()))\n",
    "\n",
    "# Display the generated image:\n",
    "# the matplotlib way:\n",
    "import matplotlib.pyplot as plt\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis(\"off\")\n",
    "print(\"Combien de Mots !!!\",len(all_words))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ploting most important words\n",
    "-  most commen words in all_words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x26ba8b33dd8>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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iYhMKfBERm1Dgi4jYhAJfRMQm/g/Ejcy8AlqbYAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26ba33f1d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "# visualize food data\n",
    "from sklearn.manifold import TSNE\n",
    "all_words = Bag_Of_Words(ListWords)\n",
    "count = []\n",
    "Words  = []\n",
    "for w in all_words.most_common(10):\n",
    "    count.append(w[1])\n",
    "    Words.append(w[0])\n",
    "sns.set_style(\"darkgrid\")\n",
    "sns.barplot(Words,count)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## eliminate irrelevent Words\n",
    "-  i the,it,get are words that are not filltered by our Stop_Words so we need to handle them\n",
    "-  Delete words that are =>3 letters because generaly they are Pronouns and don't add to the sentiment of the text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#ListWords To lower case\n",
    "def eliminate_irrelevent_Words(ListWords):\n",
    "    ListWords1 = [] \n",
    "    for m in ListWords:\n",
    "        l = [item.lower() for item in m]\n",
    "        ListWords1.append(l)\n",
    "    ListWords = ListWords1\n",
    "    #print(ListWords)\n",
    "    #elimnate words\n",
    "    for m in ListWords:\n",
    "        for w in m:\n",
    "            if len(w) <=3:\n",
    "                m.remove(w)\n",
    "            if w == 'this':\n",
    "                m.remove(w)\n",
    "    return ListWords\n",
    "def eliminate_irrelevent_Word(Word):\n",
    "    #print(ListWords)\n",
    "    #elimnate words\n",
    "    Word = RegExpTokenizer(Word)\n",
    "    Word = [item.lower() for item in Word]\n",
    "    for m in Word:\n",
    "        if len(m) <=3:\n",
    "            Word.remove(m)\n",
    "        if m == 'this':\n",
    "            Word.remove(m)\n",
    "    return Word"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## After processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "All Words length  46350\n"
     ]
    },
    {
     "data": {
      "image/png": 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D7DgAAAAAxhjFLwykJkZ/seq3ocLsOAAAAADGGMUvTJy86lfHqh8AAAAQVih+YSI1MVqL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\nVM8x+BEREREREdVz/w+e8rp/z5l58gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x26b97a78978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Figures inline and set visualization style\n",
    "ListWords = eliminate_irrelevent_Words(ListWords)\n",
    "all_words = Bag_Of_Words(ListWords)\n",
    "print(\"All Words length \",len(all_words))\n",
    "%matplotlib inline\n",
    "sns.set()\n",
    "ax = plt.figure(figsize=(15,10))# Create freq dist and plot\n",
    "freqdist1 = FreqDist(all_words)\n",
    "freqdist1.plot(25)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creation of documents\n",
    "-  Document is a tuple why i like Tuples:\n",
    "-  Tuples are fixed size in nature whereas lists are dynamic.In other words, a tuple is immutable whereas a list is mutable.\n",
    "- You can't add elements to a tuple. Tuples have no append or extend method.\n",
    "- You can't remove elements from a tuple. Tuples have no remove or pop method.\n",
    "- You can find elements in a tuple, since this doesn’t change the tuple.\n",
    "- You can also use the in operator to check if an element exists in the tuple.\n",
    "\n",
    "- **Tuples are faster** than lists. If you're defining a constant set of values and all you're ever going to do with it is iterate through it, use a tuple instead of a list."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(['seriously', 'went', 'store', 'find', 'running', 'shoe', 'possibly', 'wearing', 'shoxs', 'store', 'threw', 'away', 'immediately', 'these', 'best', 'shoe', 'worn', 'long', 'like', 'take', 'shoe', 'soon', 'home', 'forgot', 'comfortable', 'heavy', 'parttime', 'runner', 'nothing', 'starting', 'they', 'support', 'weight', 'extremely', 'well'], 'pos')\n"
     ]
    }
   ],
   "source": [
    "import random\n",
    "def Create_Document(Reviews,ListWords):\n",
    "    ListClass = list(Reviews['Class'])\n",
    "    Documents =  []\n",
    "    for m in range(len(ListWords)):\n",
    "        Documents.append((ListWords[m],ListClass[m]))\n",
    "    print(Documents[0])\n",
    "    #shuffle\n",
    "    random.shuffle(Documents)\n",
    "    return Documents\n",
    "#on va utiliser Reviews Books\n",
    "Documents = Create_Document(Reviews,ListWords)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## find features\n",
    "-  return a dictionary with the words as key and existence ** True ** ** false **  in our dictionary of words ** Most_Comm_Word **  as value\n",
    "- 100 it's a parameter that can be modified which represents the 100 most repeated words\n",
    "- ['im', 'road', 'going', 'to', 'tunisia', 'problem']\n",
    "{'could': False, 'problem': True, 'amazon': False, 'time': False, 'product': False, 'they': False, 'star': False .......\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'small': False, 'need': False, 'every': False, 'used': False, 'better': False, 'time': False, 'could': False, 'many': False, 'however': False, 'battery': False, 'keep': False, 'purchased': False, 'book': False, 'quot': False, 'look': False, 'hard': False, 'easy': False, 'watch': False, 'work': False, 'problem': False, 'back': False, 'love': False, 'nice': False, 'something': False, 'film': False, 'well': False, 'around': False, 'year': False, 'like': False, 'want': False, 'they': False, 'going': True, 'last': False, 'first': False, 'worth': False, 'without': False, 'good': False, 'sound': False, 'feel': False, 'still': False, 'different': False, 'much': False, 'would': False, 'month': False, 'right': False, 'when': False, 'bought': False, 'music': False, 'phone': False, 'another': False, 'made': False, 'since': False, 'light': False, 'come': False, 'week': False, 'though': False, 'really': False, 'product': False, 'even': False, 'enough': False, 'people': False, 'thought': False, 'take': False, 'ever': False, 'looking': False, 'picture': False, 'find': False, 'know': False, 'never': False, 'star': False, 'camera': False, 'review': False, 'play': False, 'found': False, 'read': False, 'money': False, 'always': False, 'album': False, 'magazine': False, 'movie': False, 'long': False, 'story': False, 'think': False, 'using': False, 'give': False, 'best': False, 'tried': False, 'make': False, 'game': False, 'little': False, 'size': False, 'thing': False, 'there': False, 'amazon': False, 'great': False, 'item': False, 'recommend': False, 'price': False, 'quality': False, 'also': False}\n"
     ]
    }
   ],
   "source": [
    "def find_features(document,all_words,nbr_word):\n",
    "    Most_Comm_Word = []    \n",
    "    for w in all_words.most_common(nbr_word):\n",
    "        Most_Comm_Word.append(w[0])\n",
    "\n",
    "    word_features = Most_Comm_Word\n",
    "    words = RegExpTokenizer(document)\n",
    "    #print(words)\n",
    "    features = {}\n",
    "    for w in word_features:\n",
    "        features[w] = (w in words)\n",
    "\n",
    "    return features\n",
    "print(find_features('im road going to tunisia .',all_words,100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pickle\n",
    "def Pickle_Save_Classifer(classifier,Test_Set):\n",
    "    Classifier_o = open('NaiveBayes Score Model :'+str(nltk.classify.accuracy(classifier, Test_Set)*100)+'.pickle','wb')\n",
    "    classifier = pickle.load(Classifier_o)\n",
    "    Classifier_o.close()\n",
    "    return classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def Pickle_open_Classifer(path):\n",
    "    SaveClassifier = open(path,'rb')\n",
    "    pickle.dump(classifier,SaveClassifier)\n",
    "    SaveClassifier.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def Features_Set(all_words,Documents,nbr_word):\n",
    "    #list(all_words.keys())[:1000]\n",
    "    #featuresets = [(find_features(rev), category) for (rev, category) in Documents]\n",
    "    featuresets = []\n",
    "    for rev,cat in Documents:\n",
    "        #print(' '.join(rev),cat)\n",
    "        feature = find_features(' '.join(rev),all_words,nbr_word)\n",
    "        #print(feature)\n",
    "        featuresets.append((feature,cat))\n",
    "    return featuresets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "featuresets = Features_Set(all_words,Documents,100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "({'small': False, 'need': False, 'every': False, 'used': False, 'better': False, 'time': False, 'could': False, 'many': False, 'however': False, 'battery': False, 'keep': False, 'purchased': False, 'book': False, 'quot': False, 'look': False, 'hard': False, 'easy': False, 'watch': False, 'work': True, 'problem': False, 'back': False, 'love': False, 'nice': False, 'something': False, 'film': False, 'well': False, 'around': False, 'year': False, 'like': False, 'want': False, 'they': False, 'going': False, 'last': False, 'first': False, 'worth': False, 'without': False, 'good': False, 'sound': False, 'feel': False, 'still': False, 'different': False, 'much': False, 'would': False, 'month': False, 'right': False, 'when': False, 'bought': False, 'music': False, 'phone': False, 'another': False, 'made': False, 'since': False, 'light': False, 'come': False, 'week': False, 'though': False, 'really': False, 'product': True, 'even': False, 'enough': False, 'people': False, 'thought': False, 'take': False, 'ever': False, 'looking': False, 'picture': False, 'find': False, 'know': False, 'never': False, 'star': False, 'camera': False, 'review': False, 'play': False, 'found': False, 'read': False, 'money': False, 'always': False, 'album': False, 'magazine': False, 'movie': False, 'long': False, 'story': False, 'think': False, 'using': False, 'give': False, 'best': False, 'tried': False, 'make': False, 'game': False, 'little': False, 'size': False, 'thing': False, 'there': False, 'amazon': False, 'great': False, 'item': False, 'recommend': False, 'price': False, 'quality': False, 'also': False}, 'pos')\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "Train_Set, Test_Set = train_test_split(featuresets, test_size=0.33, random_state=42)\n",
    "print(Train_Set[26])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save our DataFrame and Featureset in csv because it took too much times to generate\n",
    "-  we can use pickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "with open(\"FeaturesSet100Words.pql\", \"wb\") as fp:   #Pickling\n",
    "    pickle.dump(featuresets, fp)\n",
    "\n",
    "Reviews.to_csv(\"Reviews.csv\", sep='\\t', encoding='utf-8')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**pickle works fine**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "({'small': False, 'long': False, 'need': False, 'every': False, 'used': False, 'better': False, 'time': False, 'could': False, 'though': False, 'however': False, 'battery': False, 'keep': False, 'purchased': False, 'book': False, 'quot': False, 'look': False, 'hard': False, 'easy': False, 'watch': False, 'work': False, 'problem': False, 'back': False, 'love': False, 'nice': False, 'something': False, 'film': False, 'well': False, 'even': False, 'year': False, 'like': False, 'want': False, 'game': False, 'money': False, 'going': False, 'find': False, 'last': False, 'first': False, 'amazon': False, 'many': False, 'without': False, 'good': False, 'feel': False, 'much': False, 'would': False, 'month': False, 'magazine': False, 'when': False, 'bought': False, 'music': False, 'phone': False, 'another': False, 'made': False, 'since': False, 'light': False, 'come': False, 'week': False, 'really': False, 'product': False, 'around': False, 'sound': False, 'people': False, 'thought': False, 'take': False, 'ever': False, 'looking': False, 'picture': False, 'album': False, 'great': False, 'know': False, 'camera': False, 'review': False, 'play': False, 'found': False, 'read': False, 'they': False, 'always': False, 'right': False, 'movie': False, 'star': False, 'story': False, 'think': False, 'using': False, 'give': False, 'best': False, 'tried': False, 'make': False, 'still': False, 'little': False, 'size': False, 'thing': False, 'there': False, 'item': False, 'enough': False, 'different': False, 'never': False, 'recommend': False, 'price': False, 'quality': False, 'also': False, 'worth': False}, 'pos')\n"
     ]
    }
   ],
   "source": [
    "with open(\"FeaturesSet100Words.pql\", \"rb\") as fp:   # Unpickling\n",
    "    b = pickle.load(fp)\n",
    "print(b[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A Quick Naive Bayes Classification Approche to see if our data preprocessing could give us good results to keep going to further more complex models\n",
    "-  we will try with the reviews of books only before moving to the product 25 so with the function **model_Books**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "def model_Books():    \n",
    "    ListWords =  [RegExpTokenizer(m) for m in list(BooksReviews['review_text'])]\n",
    "    print(ListWords[1])\n",
    "    #Eliminate Stop_Words\n",
    "    ListWords =  [Eliminate_Stop_Word(m) for m in ListWords]\n",
    "    print(ListWords[1])\n",
    "    #Stemming\n",
    "    ListWords = [Lemmatizing_Words(m) for m in ListWords]\n",
    "    print(ListWords[1])\n",
    "\n",
    "\n",
    "    #ListWords To lower case\n",
    "\n",
    "    ListWords1 = [] \n",
    "    for m in ListWords:\n",
    "        l = [item.lower() for item in m]\n",
    "        ListWords1.append(l)\n",
    "    ListWords = ListWords1\n",
    "    #print(ListWords)\n",
    "    #elimnate words\n",
    "    for m in ListWords:\n",
    "        for w in m:\n",
    "            if len(w) <=3:\n",
    "                m.remove(w)\n",
    "            if w == 'this':\n",
    "                m.remove(w)\n",
    "                \n",
    "    AllWordsBooks = Bag_Of_Words(ListWords)\n",
    "    len(AllWordsBooks)\n",
    "    #Books Documents\n",
    "    Documents = Create_Document(BooksReviews,ListWords)\n",
    "    #Reviews featuresset\n",
    "    featuresets = Features_Set(all_words,Documents,3000)\n",
    "    #Train,test\n",
    "    Train_Set, Test_Set = train_test_split(\n",
    "        featuresets, test_size=0.33, random_state=42)\n",
    "    return Train_Set,Test_Set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Zig', 'Ziglar', 'has', 'done', 'it', 'again', 'As', 'an', 'author', 'myself', 'of', 'sales', 'books', 'I', 'realize', 'sales', 'is', 'about', 'so', 'much', 'more', 'than', 'just', 'having', 'the', 'gift', 'of', 'gab', 'and', 'fast', 'talking', 'It', 's', 'about', 'asking', 'the', 'right', 'questions', 'and', 'listening', 'to', 'the', 'right', 'answers', 'It', 's', 'about', 'not', 'just', 'being', 'a', 'consultant', 'to', 'others', 'but', 'being', 'a', 'consultant', 'to', 'yourself', 'It', 's', 'recognizing', 'you', 'are', 'in', 'the', 'most', 'honorable', 'profession', 'there', 'is', 'Zig', 's', 'theories', 'exemplify', 'this']\n",
      "['Zig', 'Ziglar', 'done', 'As', 'author', 'sales', 'books', 'I', 'realize', 'sales', 'much', 'gift', 'gab', 'fast', 'talking', 'It', 'asking', 'right', 'questions', 'listening', 'right', 'answers', 'It', 'consultant', 'others', 'consultant', 'It', 'recognizing', 'honorable', 'profession', 'Zig', 'theories', 'exemplify']\n",
      "['Zig', 'Ziglar', 'done', 'As', 'author', 'sale', 'book', 'I', 'realize', 'sale', 'much', 'gift', 'gab', 'fast', 'talking', 'It', 'asking', 'right', 'question', 'listening', 'right', 'answer', 'It', 'consultant', 'others', 'consultant', 'It', 'recognizing', 'honorable', 'profession', 'Zig', 'theory', 'exemplify']\n",
      "(['author', 'gave', 'many', 'thorough', 'enlightening', 'illustration', 'communication', 'break', 'look', 'after', 'reading', 'self', 'examination', 'could', 'identify', 'area', 'improvement', 'learn', 'method', 'prescribed', 'first', 'part', 'identifies', 'type', 'relationship', 'within', 'family', 'second', 'developing', 'honouring', 'relationship', 'dwelling', 'mainly', 'subject', 'communication', 'much', 'enlightened', 'type', 'circuit', 'jammer', 'within', 'family', 'part', 'three', 'expounds', 'sustaining', 'godly', 'family', 'relationship', 'explains', 'family', 'fight', 'turn', 'discord', 'concord', 'much', 'encouraged', 'edified', 'reading', 'book'], 'pos')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "1340"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Train_Set, Test_Set = model_Books()\n",
    "len(Train_Set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import nltk.classify.util\n",
    "from nltk.classify import NaiveBayesClassifier\n",
    "from nltk.corpus import names\n",
    "\n",
    "def NaiveBayes_Model(Train_Set,Test_Set):\n",
    "    classifier = NaiveBayesClassifier.train(Train_Set) \n",
    "    Important10 = classifier.show_most_informative_features(10)\n",
    "    accuracy = nltk.classify.accuracy(classifier, Test_Set)*100\n",
    "    return classifier,Important10,accuracy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- We have 74 - 80% accuracy on the books only a good sign already before continuing the test with other models and with all the reviews\n",
    "- there are also some key words that help to separate the reviews as\n",
    "first try :\n",
    "                 ability = True              pos : neg    =     10.1 : 1.0\n",
    "                   waste = True              neg : pos    =     10.0 : 1.0\n",
    "                   bunch = True              neg : pos    =      9.2 : 1.0\n",
    "          disappointment = True              neg : pos    =      9.2 : 1.0\n",
    "second try :\n",
    "           unfortunately = True              neg : pos    =     12.6 : 1.0\n",
    "                  hoping = True              neg : pos    =     12.0 : 1.0\n",
    "                  finish = True              neg : pos    =     10.5 : 1.0\n",
    "                 setting = True              pos : neg    =     10.0 : 1.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Most Informative Features\n",
      "                  boring = True              neg : pos    =     10.7 : 1.0\n",
      "                   waste = True              neg : pos    =      9.8 : 1.0\n",
      "                   error = True              neg : pos    =      8.8 : 1.0\n",
      "                 mistake = True              neg : pos    =      8.1 : 1.0\n",
      "                  social = True              pos : neg    =      7.9 : 1.0\n",
      "                 changed = True              pos : neg    =      7.9 : 1.0\n",
      "             personality = True              pos : neg    =      7.9 : 1.0\n",
      "                  female = True              neg : pos    =      7.4 : 1.0\n",
      "                horrible = True              neg : pos    =      7.4 : 1.0\n",
      "                 outside = True              neg : pos    =      7.4 : 1.0\n",
      "None\n",
      "Classifier accuracy percent: 73.7878787878788\n"
     ]
    }
   ],
   "source": [
    "classifier,Important10,accuracy = NaiveBayes_Model(Train_Set,Test_Set)\n",
    "print(Important10)\n",
    "# Predict\n",
    "print(\"Classifier accuracy percent:\",accuracy)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**let's test it with our sentences**\n",
    "-  our sentence needs to be passed by all functions toknize ,stop_words,lemmatize,irrelevant_words \n",
    "-  with **best** **ever** we see that this is a positif revie easy for the classifier "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def Word_Prep(Sent):\n",
    "    Words =  RegExpTokenizer(test_sentence)\n",
    "    Words =  Eliminate_Stop_Word(Words)\n",
    "    Words = Lemmatizing_Words(Words)\n",
    "    print(Words)\n",
    "    Words = eliminate_irrelevent_Word(' '.join(Words))\n",
    "    #print(Words)\n",
    "    return ' '.join(Words)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['This', 'best', 'band', 'I', 'ever', 'heard']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'pos'"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_sentence = \"This is the best band I've ever heard!\"\n",
    "#GEt words from Review_text m3neha Tokenize \n",
    "#RegExpTokenizer #Eliminate Stop_Words #Stemming\n",
    "test_sent_features = find_features(Word_Prep(test_sentence),all_words,3000)\n",
    "classifier.classify(test_sent_features)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-  with **readable** it's less obvious but the classifier figure it out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['This', 'readable', 'book']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'pos'"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_sentence = \"This is a readable book\"\n",
    "test_sent_features = find_features(Word_Prep(test_sentence),all_words,3000)\n",
    "classifier.classify(test_sent_features)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-  **disappointing** is a very negatif word"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['think', 'book', 'disappointing']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'neg'"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_sentence = \"i think that this book is very disappointing\"\n",
    "test_sent_features = find_features(Word_Prep(test_sentence),all_words,3000)\n",
    "classifier.classify(test_sent_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['If', 'sometimes', 'like', 'go', 'movie', 'fun', 'Wasabi', 'good', 'place', 'start']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'pos'"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_sentence = \"If you sometimes like to go to the movies to have fun, Wasabi is a good place to start.\"\n",
    "test_sent_features = find_features(Word_Prep(test_sentence),all_words,3000)\n",
    "classifier.classify(test_sent_features)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Good read ..,next time we try to use different approches other than this naive approche that takes into account the order of words in a sentence thus LSTM(long-short term memory RNN)"
   ]
  }
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