Text_similarity.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
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     "output_type": "display_data"
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      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#necessary libraries\n",
    "import numpy as np\n",
    "import pandas as pd \n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import nltk\n",
    "import tensorflow as tf\n",
    "import tensorflow_hub as hub\n",
    "from nltk.corpus import stopwords\n",
    "import pandas_profiling as pp\n",
    "import re\n",
    "from bs4 import BeautifulSoup\n",
    "from nltk.tokenize import TweetTokenizer, sent_tokenize, RegexpTokenizer\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "# Import plotly\n",
    "import plotly\n",
    "from plotly.offline import download_plotlyjs, init_notebook_mode,plot,iplot\n",
    "import plotly.graph_objs as go\n",
    "import cufflinks as cf\n",
    "cf.go_offline()\n",
    "cf.set_config_file(offline=False, world_readable=True)\n",
    "init_notebook_mode(connected=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Loading data\n",
    "data = pd.read_csv(\"data/Text_Similarity_Dataset.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4023 entries, 0 to 4022\n",
      "Data columns (total 3 columns):\n",
      "Unique_ID    4023 non-null int64\n",
      "text1        4023 non-null object\n",
      "text2        4023 non-null object\n",
      "dtypes: int64(1), object(2)\n",
      "memory usage: 94.4+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#expand mapping\n",
    "contraction_mapping = {\n",
    "    \"'cause\": 'because','â€™': \"'\",',cause': 'because',';cause': 'because',\"ain't\": 'am not','ain,t': 'am not',\n",
    "    'ain;t': 'am not','ain´t': 'am not','ain’t': 'am not',\"aren't\": 'are not','â€“': '-','â€œ':'\"',\n",
    "    'aren,t': 'are not','aren;t': 'are not','aren´t': 'are not','aren’t': 'are not',\"can't\": 'cannot',\"can't've\": 'cannot have','can,t': 'cannot','can,t,ve': 'cannot have',\n",
    "    'can;t': 'cannot','can;t;ve': 'cannot have',\n",
    "    'can´t': 'cannot','can´t´ve': 'cannot have','can’t': 'cannot','can’t’ve': 'cannot have',\n",
    "    \"could've\": 'could have','could,ve': 'could have','could;ve': 'could have',\"couldn't\": 'could not',\"couldn't've\": 'could not have','couldn,t': 'could not','couldn,t,ve': 'could not have','couldn;t': 'could not',\n",
    "    'couldn;t;ve': 'could not have','couldn´t': 'could not',\n",
    "    'couldn´t´ve': 'could not have','couldn’t': 'could not','couldn’t’ve': 'could not have','could´ve': 'could have',\n",
    "    'could’ve': 'could have',\"didn't\": 'did not','didn,t': 'did not','didn;t': 'did not','didn´t': 'did not',\n",
    "    'didn’t': 'did not',\"doesn't\": 'does not','doesn,t': 'does not','doesn;t': 'does not','doesn´t': 'does not',\n",
    "    'doesn’t': 'does not',\"don't\": 'do not','don,t': 'do not','don;t': 'do not','don´t': 'do not','don’t': 'do not',\n",
    "    \"hadn't\": 'had not',\"hadn't've\": 'had not have','hadn,t': 'had not','hadn,t,ve': 'had not have','hadn;t': 'had not',\n",
    "    'hadn;t;ve': 'had not have','hadn´t': 'had not','hadn´t´ve': 'had not have','hadn’t': 'had not','hadn’t’ve': 'had not have',\"hasn't\": 'has not','hasn,t': 'has not','hasn;t': 'has not','hasn´t': 'has not','hasn’t': 'has not',\n",
    "    \"haven't\": 'have not','haven,t': 'have not','haven;t': 'have not','haven´t': 'have not','haven’t': 'have not',\"he'd\": 'he would',\n",
    "    \"he'd've\": 'he would have',\"he'll\": 'he will',\n",
    "    \"he's\": 'he is','he,d': 'he would','he,d,ve': 'he would have','he,ll': 'he will','he,s': 'he is','he;d': 'he would',\n",
    "    'he;d;ve': 'he would have','he;ll': 'he will','he;s': 'he is','he´d': 'he would','he´d´ve': 'he would have','he´ll': 'he will',\n",
    "    'he´s': 'he is','he’d': 'he would','he’d’ve': 'he would have','he’ll': 'he will','he’s': 'he is',\"how'd\": 'how did',\"how'll\": 'how will',\n",
    "    \"how's\": 'how is','how,d': 'how did','how,ll': 'how will','how,s': 'how is','how;d': 'how did','how;ll': 'how will',\n",
    "    'how;s': 'how is','how´d': 'how did','how´ll': 'how will','how´s': 'how is','how’d': 'how did','how’ll': 'how will',\n",
    "    'how’s': 'how is',\"i'd\": 'i would',\"i'll\": 'i will',\"i'm\": 'i am',\"i've\": 'i have','i,d': 'i would','i,ll': 'i will',\n",
    "    'i,m': 'i am','i,ve': 'i have','i;d': 'i would','i;ll': 'i will','i;m': 'i am','i;ve': 'i have',\"isn't\": 'is not',\n",
    "    'isn,t': 'is not','isn;t': 'is not','isn´t': 'is not','isn’t': 'is not',\"it'd\": 'it would',\"it'll\": 'it will',\"It's\":'it is',\n",
    "    \"it's\": 'it is','it,d': 'it would','it,ll': 'it will','it,s': 'it is','it;d': 'it would','it;ll': 'it will','it;s': 'it is','it´d': 'it would','it´ll': 'it will','it´s': 'it is',\n",
    "    'it’d': 'it would','it’ll': 'it will','it’s': 'it is',\n",
    "    'i´d': 'i would','i´ll': 'i will','i´m': 'i am','i´ve': 'i have','i’d': 'i would','i’ll': 'i will','i’m': 'i am',\n",
    "    'i’ve': 'i have',\"let's\": 'let us','let,s': 'let us','let;s': 'let us','let´s': 'let us',\n",
    "    'let’s': 'let us',\"ma'am\": 'madam','ma,am': 'madam','ma;am': 'madam',\"mayn't\": 'may not','mayn,t': 'may not','mayn;t': 'may not',\n",
    "    'mayn´t': 'may not','mayn’t': 'may not','ma´am': 'madam','ma’am': 'madam',\"might've\": 'might have','might,ve': 'might have','might;ve': 'might have',\"mightn't\": 'might not','mightn,t': 'might not','mightn;t': 'might not','mightn´t': 'might not',\n",
    "    'mightn’t': 'might not','might´ve': 'might have','might’ve': 'might have',\"must've\": 'must have','must,ve': 'must have','must;ve': 'must have',\n",
    "    \"mustn't\": 'must not','mustn,t': 'must not','mustn;t': 'must not','mustn´t': 'must not','mustn’t': 'must not','must´ve': 'must have',\n",
    "    'must’ve': 'must have',\"needn't\": 'need not','needn,t': 'need not','needn;t': 'need not','needn´t': 'need not','needn’t': 'need not',\"oughtn't\": 'ought not','oughtn,t': 'ought not','oughtn;t': 'ought not',\n",
    "    'oughtn´t': 'ought not','oughtn’t': 'ought not',\"sha'n't\": 'shall not','sha,n,t': 'shall not','sha;n;t': 'shall not',\"shan't\": 'shall not',\n",
    "    'shan,t': 'shall not','shan;t': 'shall not','shan´t': 'shall not','shan’t': 'shall not','sha´n´t': 'shall not','sha’n’t': 'shall not',\n",
    "    \"she'd\": 'she would',\"she'll\": 'she will',\"she's\": 'she is','she,d': 'she would','she,ll': 'she will',\n",
    "    'she,s': 'she is','she;d': 'she would','she;ll': 'she will','she;s': 'she is','she´d': 'she would','she´ll': 'she will',\n",
    "    'she´s': 'she is','she’d': 'she would','she’ll': 'she will','she’s': 'she is',\"should've\": 'should have','should,ve': 'should have','should;ve': 'should have',\n",
    "    \"shouldn't\": 'should not','shouldn,t': 'should not','shouldn;t': 'should not','shouldn´t': 'should not','shouldn’t': 'should not','should´ve': 'should have',\n",
    "    'should’ve': 'should have',\"that'd\": 'that would',\"that's\": 'that is','that,d': 'that would','that,s': 'that is','that;d': 'that would',\n",
    "    'that;s': 'that is','that´d': 'that would','that´s': 'that is','that’d': 'that would','that’s': 'that is',\"there'd\": 'there had',\n",
    "    \"there's\": 'there is','there,d': 'there had','there,s': 'there is','there;d': 'there had','there;s': 'there is',\n",
    "    'there´d': 'there had','there´s': 'there is','there’d': 'there had','there’s': 'there is',\n",
    "    \"they'd\": 'they would',\"they'll\": 'they will',\"they're\": 'they are',\"they've\": 'they have',\n",
    "    'they,d': 'they would','they,ll': 'they will','they,re': 'they are','they,ve': 'they have','they;d': 'they would','they;ll': 'they will','they;re': 'they are',\n",
    "    'they;ve': 'they have','they´d': 'they would','they´ll': 'they will','they´re': 'they are','they´ve': 'they have','they’d': 'they would','they’ll': 'they will',\n",
    "    'they’re': 'they are','they’ve': 'they have',\"wasn't\": 'was not','wasn,t': 'was not','wasn;t': 'was not','wasn´t': 'was not',\n",
    "    'wasn’t': 'was not',\"we'd\": 'we would',\"we'll\": 'we will',\"we're\": 'we are',\"we've\": 'we have','we,d': 'we would','we,ll': 'we will',\n",
    "    'we,re': 'we are','we,ve': 'we have','we;d': 'we would','we;ll': 'we will','we;re': 'we are','we;ve': 'we have',\n",
    "    \"weren't\": 'were not','weren,t': 'were not','weren;t': 'were not','weren´t': 'were not','weren’t': 'were not','we´d': 'we would','we´ll': 'we will',\n",
    "    'we´re': 'we are','we´ve': 'we have','we’d': 'we would','we’ll': 'we will','we’re': 'we are','we’ve': 'we have',\"what'll\": 'what will',\"what're\": 'what are',\"what's\": 'what is',\n",
    "    \"what've\": 'what have','what,ll': 'what will','what,re': 'what are','what,s': 'what is','what,ve': 'what have','what;ll': 'what will','what;re': 'what are',\n",
    "    'what;s': 'what is','what;ve': 'what have','what´ll': 'what will',\n",
    "    'what´re': 'what are','what´s': 'what is','what´ve': 'what have','what’ll': 'what will','what’re': 'what are','what’s': 'what is',\n",
    "    'what’ve': 'what have',\"where'd\": 'where did',\"where's\": 'where is','where,d': 'where did','where,s': 'where is','where;d': 'where did',\n",
    "    'where;s': 'where is','where´d': 'where did','where´s': 'where is','where’d': 'where did','where’s': 'where is',\n",
    "    \"who'll\": 'who will',\"who's\": 'who is','who,ll': 'who will','who,s': 'who is','who;ll': 'who will','who;s': 'who is',\n",
    "    'who´ll': 'who will','who´s': 'who is','who’ll': 'who will','who’s': 'who is',\"won't\": 'will not','won,t': 'will not','won;t': 'will not',\n",
    "    'won´t': 'will not','won’t': 'will not',\"wouldn't\": 'would not','wouldn,t': 'would not','wouldn;t': 'would not','wouldn´t': 'would not',\n",
    "    'wouldn’t': 'would not',\"you'd\": 'you would',\"you'll\": 'you will',\"you're\": 'you are','you,d': 'you would','you,ll': 'you will',\n",
    "    'you,re': 'you are','you;d': 'you would','you;ll': 'you will',\n",
    "    'you;re': 'you are','you´d': 'you would','you´ll': 'you will','you´re': 'you are','you’d': 'you would','you’ll': 'you will','you’re': 'you are',\n",
    "    '´cause': 'because','’cause': 'because',\"you've\": \"you have\",\"could'nt\": 'could not',\n",
    "    \"havn't\": 'have not',\"here’s\": \"here is\",'i\"\"m': 'i am',\"i'am\": 'i am',\"i'l\": \"i will\",\"i'v\": 'i have',\"wan't\": 'want',\"was'nt\": \"was not\",\"who'd\": \"who would\",\n",
    "    \"who're\": \"who are\",\"who've\": \"who have\",\"why'd\": \"why would\",\"would've\": \"would have\",\"y'all\": \"you all\",\"y'know\": \"you know\",\n",
    "    \"your'e\": \"you are\",\"arn't\": \"are not\",\"agains't\": \"against\",\"c'mon\": \"common\",\"doens't\": \"does not\",'don\"\"t': \"do not\",\"dosen't\": \"does not\",\n",
    "    \"dosn't\": \"does not\",\"shoudn't\": \"should not\",\"that'll\": \"that will\",\"there'll\": \"there will\",\"there're\": \"there are\",\n",
    "    \"this'll\": \"this all\",\"u're\": \"you are\", \"ya'll\": \"you all\",\"you'r\": \"you are\",\"you’ve\": \"you have\",\"d'int\": \"did not\",\"did'nt\": \"did not\",\"din't\": \"did not\",\"dont't\": \"do not\",\"gov't\": \"government\",\n",
    "    \"i'ma\": \"i am\",\"is'nt\": \"is not\",\"‘I\":'I',\n",
    "    }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#data preprocessing using regular expression\n",
    "tokenizer = RegexpTokenizer(r'\\w+')\n",
    "pat1 = r'@[A-Za-z0-9_]+'\n",
    "pat2 = r'https?://[^ ]+'\n",
    "combined_pat = r'|'.join((pat1, pat2))\n",
    "www_pat = r'www.[^ ]+'\n",
    "neg_pattern = re.compile(r'\\b(' + '|'.join(contraction_mapping.keys()) + r')\\b')\n",
    "def clean_text(text):\n",
    "    soup = BeautifulSoup(text, 'lxml')\n",
    "    souped = soup.get_text()\n",
    "    try:\n",
    "        bom_removed = souped.decode(\"utf-8-sig\").replace(u\"\\ufffd\", \"?\")\n",
    "    except:\n",
    "        bom_removed = souped\n",
    "    stripped = re.sub(combined_pat, '', bom_removed)\n",
    "    stripped = re.sub(www_pat, '', stripped)\n",
    "    lower_case = stripped.lower()\n",
    "    neg_handled = neg_pattern.sub(lambda x: contraction_mapping[x.group()], lower_case)\n",
    "    letters_only = re.sub(\"[0-9]\", \" \", neg_handled)\n",
    "    tokens_sentences = [tokenizer.tokenize(t) for t in nltk.sent_tokenize(letters_only)]\n",
    "    sentences = []\n",
    "    for words_tokens in tokens_sentences:\n",
    "        sentence = []\n",
    "        for word in words_tokens:\n",
    "            sentence.append(word)\n",
    "        sentences.append(\" \".join(sentence))\n",
    "    return sentences"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Cleaning the text\n",
    "data['text1_cleaned'] = data['text1'].apply(lambda x: clean_text(x))\n",
    "data['text2_cleaned'] = data['text2'].apply(lambda x: clean_text(x))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    }
   ],
   "source": [
    "#Check how many paragragh are duplicate\n",
    "count=0\n",
    "for i in range(len(data['text1_cleaned'])):\n",
    "    if data['text1_cleaned'][i]==data['text2_cleaned'][i]:\n",
    "        count+=1\n",
    "print(count)"
   ]
  },
  {
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   "source": [
    "#Sentence Length Distribution wise Length distribution\n",
    "data['len_paragraphs1'] = data['text1_cleaned'].apply(lambda x:len(x))\n",
    "data['len_paragraphs1'].iplot(\n",
    "    kind='hist',\n",
    "    bins=40,\n",
    "    xTitle='paragraph_sentence_length',\n",
    "    linecolor='black',\n",
    "    yTitle='count',\n",
    "    title='Paragraph Sentence Length Distribution')"
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   "execution_count": 9,
   "metadata": {},
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       "count    4023.000000\n",
       "mean       19.359185\n",
       "std        12.262766\n",
       "min         4.000000\n",
       "25%        13.000000\n",
       "50%        17.000000\n",
       "75%        23.000000\n",
       "max       231.000000\n",
       "Name: len_paragraphs1, dtype: float64"
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     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['len_paragraphs1'].describe()"
   ]
  },
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   "execution_count": 19,
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   "source": [
    "data['len_paragraphs2'] = data['text2_cleaned'].apply(lambda x:len(x))\n",
    "data['len_paragraphs2'].iplot(\n",
    "    kind='hist',\n",
    "    bins=40,\n",
    "    xTitle='paragraph_sentence_length',\n",
    "    linecolor='black',\n",
    "    yTitle='count',\n",
    "    title='Paragraph Sentence Length Distribution')"
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   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
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     "data": {
      "text/plain": [
       "count    4023.000000\n",
       "mean       19.374099\n",
       "std        12.327719\n",
       "min         4.000000\n",
       "25%        13.000000\n",
       "50%        17.000000\n",
       "75%        23.000000\n",
       "max       231.000000\n",
       "Name: len_paragraphs2, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['len_paragraphs2'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "def word_len(x):\n",
    "    length = 0\n",
    "    for i in x:\n",
    "        length+=len(i)\n",
    "    return length"
   ]
  },
  {
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   "execution_count": 22,
   "metadata": {},
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          1207,
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          2401,
          3269,
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          2516,
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          1882,
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          2929,
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          1902,
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          2356,
          2378,
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          3076,
          2601,
          4222,
          1650,
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          2441,
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          817,
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          4900,
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          743,
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          939,
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          982,
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          3856,
          3296,
          822,
          1654,
          1313,
          2022,
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          4282,
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          2349,
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          2167,
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          3975,
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          2436,
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          1146,
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          2977,
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          1145,
          2245,
          1210,
          1093,
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          2414,
          2404,
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          2354,
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          1643,
          1086,
          1510,
          3418,
          1301,
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          1129,
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          2389,
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          873,
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          1018,
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          2516,
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          947,
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          3653,
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          2107,
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          2441,
          851,
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          1906,
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          1957,
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          2959,
          2973,
          1411,
          3133,
          4107,
          1763,
          732,
          1400,
          2456,
          1254,
          2513,
          4344,
          2059,
          819,
          984,
          1685,
          943,
          2324,
          1777,
          2425,
          1792,
          3086,
          1239,
          1318,
          1401,
          1750,
          2280,
          2703,
          1792,
          1328,
          1407,
          1857,
          1418,
          2360,
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          1433,
          3964,
          3375,
          2706,
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          981,
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          3473,
          1356,
          2424,
          1683,
          3494,
          2671,
          1196,
          3259,
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          733,
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          2932,
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          922,
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          889,
          2431,
          4873,
          2743,
          2044,
          1714,
          1728,
          1059,
          1540,
          1189,
          2296,
          2683,
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          1692,
          3087,
          820,
          1716,
          1288,
          1861,
          1121,
          1291,
          1108,
          1832,
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          1559,
          1978,
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          3486,
          2756,
          1477,
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          1499,
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          2386,
          1639,
          1267,
          3050,
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          3571,
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          3092,
          1913,
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          2536,
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          4188,
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          1633,
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          1019,
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          2360,
          2229,
          1771,
          1429,
          1573,
          4441,
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          2598,
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          4013,
          1688,
          1853,
          3876,
          2941,
          1621,
          4762,
          1108,
          1625,
          2708,
          997,
          2876,
          2284,
          1851,
          1843,
          1580,
          4569,
          1977,
          4274,
          4064,
          1833,
          1430,
          2180,
          1685,
          1488,
          1661,
          2129,
          1594,
          985,
          1027,
          2523,
          1707,
          877,
          1913,
          3079,
          1220,
          2458,
          1650,
          1991,
          924,
          811,
          2967,
          3339,
          1604,
          2838,
          2857,
          3400,
          1200,
          1016,
          1397,
          2224,
          3011,
          2033,
          1145,
          2051,
          1727,
          1735,
          4522,
          1741,
          2846,
          3067,
          1589,
          2187,
          1894,
          2245,
          2560,
          1598,
          4047,
          4892,
          2101,
          2874,
          1852,
          4308,
          1832,
          3179,
          1281,
          3551,
          4931,
          918,
          1878,
          1128,
          3281,
          1371,
          4013,
          1869,
          2911,
          1991,
          2152,
          731,
          1715,
          1175,
          4762,
          2254,
          753,
          3051,
          1870,
          1403,
          983,
          1602,
          1653,
          1643,
          4222,
          775,
          897,
          2046,
          1165,
          1453,
          1565,
          2567,
          1644,
          2275,
          1242,
          1291,
          1939,
          1210,
          1682,
          1676,
          1489,
          1412,
          1341,
          1913,
          1600,
          3732,
          1631,
          1688,
          960,
          3530,
          5877,
          2324,
          1600,
          2140,
          741,
          4447,
          1303,
          2703,
          3040,
          816,
          2435,
          2030,
          2903,
          1720,
          1806,
          923,
          2974,
          1700,
          1720,
          732,
          2743,
          2275,
          1150,
          2652,
          2824,
          2846,
          1750,
          1264,
          1286,
          1290,
          2153,
          1002,
          1412,
          4496,
          2163,
          2369,
          2667,
          1105,
          1757,
          5003,
          3242,
          1882,
          1232,
          2210,
          1358,
          1717,
          2074,
          1426,
          2684,
          2486,
          1792,
          2189,
          968,
          2400,
          3339,
          1717,
          3383,
          5229,
          3242,
          2769,
          3590,
          1600,
          803,
          2140,
          2707,
          3664,
          2667,
          1412,
          4828,
          1449,
          1548,
          1130,
          1366,
          1617,
          1132,
          1180,
          1150,
          1676,
          901,
          1496,
          2557,
          2044,
          1663,
          1187,
          2027,
          1561,
          1304,
          2010,
          2450,
          2256,
          3009,
          3676,
          1705,
          1568,
          1256,
          3338,
          4673,
          3616,
          1915,
          1743,
          1530,
          1217,
          1268,
          1214,
          1890,
          4496,
          1263,
          2244,
          1033,
          1617,
          1609,
          2101,
          2389,
          961,
          1387,
          1883,
          2895,
          1392,
          1373,
          2721,
          2677,
          1509,
          2423,
          732,
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          898,
          1474,
          1420,
          1130,
          2535,
          1548,
          5420,
          1724,
          998,
          1223,
          1483,
          1676,
          3359,
          1700,
          1033,
          4068,
          1787,
          2360,
          2476,
          2404,
          1287,
          2935,
          2080,
          1792,
          973,
          2288,
          4274,
          1575,
          1859,
          1712,
          3189,
          2869,
          1070,
          1299,
          1550,
          1608,
          4169,
          1090,
          733,
          1654,
          1505,
          2012,
          2450,
          1704,
          3802,
          2375,
          1316,
          3216,
          3101,
          3219,
          1107,
          1752,
          1927,
          1241,
          1107,
          2384,
          1310,
          2417,
          1125,
          3665,
          2018,
          15458,
          3646,
          2108,
          1778,
          3302,
          2680,
          1447,
          1173,
          798,
          2163,
          1242,
          2969,
          3087,
          1564,
          2429,
          1163,
          1356,
          2846,
          1705,
          1175,
          1553,
          3682,
          4395,
          1676,
          1499,
          1465,
          1780,
          1357,
          727,
          2010,
          4150,
          995,
          2437,
          923,
          1266,
          1133,
          2332,
          1997,
          2320,
          3358,
          2520,
          1777,
          1705,
          3403,
          1787,
          2880,
          2060,
          3408,
          1247,
          1469,
          1883,
          3193,
          1482,
          1599,
          763,
          4569,
          1728,
          924,
          1433,
          1583,
          1506,
          1690,
          1255,
          1953,
          1702,
          1412,
          680,
          2684,
          1247,
          1326,
          3211,
          1561,
          3161,
          2114,
          1240,
          2750,
          2180,
          923,
          1211,
          1964,
          4639,
          1012,
          889,
          1341,
          1159,
          3454,
          3377,
          1111,
          3380,
          1632,
          1822,
          1880,
          1909,
          2559,
          3140,
          3395,
          1305,
          1996,
          2356,
          5779,
          710,
          2455,
          4395,
          2113,
          2825,
          3443,
          1953,
          3280,
          1040,
          3047,
          1117,
          1720,
          1570,
          1358,
          2047,
          4444,
          908,
          2390,
          2112,
          4573,
          1328,
          1180,
          1540,
          2827,
          1543,
          2012,
          1263,
          1238,
          1259,
          3330,
          908,
          2519,
          758,
          1163,
          2246,
          2486,
          1239,
          1581,
          2383,
          1576,
          2080,
          1314,
          2351,
          2361,
          4091,
          1369,
          2557,
          1632,
          1568,
          2315,
          1924,
          1861,
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          1941,
          1616,
          2831,
          1288,
          3441,
          890,
          1281,
          1117,
          1703,
          4828,
          2010,
          2029,
          2378,
          1643,
          1461,
          1458,
          2047,
          2374,
          834,
          1756,
          750,
          4004,
          1530,
          3575,
          2458,
          1788,
          1051,
          1469,
          3266,
          1654,
          2714,
          3876,
          1158,
          2725,
          1896,
          1760,
          5709,
          1340,
          3243,
          2062,
          4918,
          3756,
          2411,
          1075,
          2237,
          1798,
          2095,
          2051,
          2850,
          1357,
          2717,
          2705,
          2985,
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   ],
   "source": [
    "#Word Length Distribution\n",
    "data['word_len_paragraphs1'] = data['text1_cleaned'].apply(lambda x: word_len(x))\n",
    "data['word_len_paragraphs1'].iplot(\n",
    "    kind='hist',\n",
    "    bins=40,\n",
    "    xTitle='paragraph_word_length',\n",
    "    linecolor='black',\n",
    "    yTitle='count',\n",
    "    title='Paragraph word Length Distribution')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count     4023.000000\n",
       "mean      2122.174248\n",
       "std       1307.511731\n",
       "min        484.000000\n",
       "25%       1347.000000\n",
       "50%       1839.000000\n",
       "75%       2631.000000\n",
       "max      24211.000000\n",
       "Name: word_len_paragraphs1, dtype: float64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['word_len_paragraphs1'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
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          3011,
          2601,
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          829,
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          3297,
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          819,
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          5426,
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          3527,
          1669,
          3088,
          1211,
          1176,
          701,
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          895,
          2680,
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          1331,
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          2073,
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          2074,
          1040,
          834,
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          1582,
          1615,
          1164,
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          1120,
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          2605,
          1483,
          1068,
          3756,
          2795,
          2803,
          2349,
          1617,
          1496,
          3071,
          2706,
          1329,
          2631,
          1418,
          1843,
          3732,
          2803,
          1301,
          2732,
          1755,
          1871,
          3682,
          2551,
          5149,
          4150,
          1377,
          2743,
          2265,
          1446,
          2113,
          2728,
          3687,
          760,
          4212,
          1734,
          1882,
          1223,
          1222,
          1239,
          1760,
          1699,
          2753,
          1496,
          981,
          2151,
          1511,
          3763,
          2244,
          2250,
          1593,
          1310,
          1351,
          1540,
          2452,
          1650,
          2578,
          818,
          1122,
          728,
          2374,
          1558,
          1580,
          1103,
          2188,
          1973,
          2024,
          2446,
          2354,
          1872,
          1708,
          3194,
          2315,
          3339,
          3160,
          1010,
          817,
          1304,
          2867,
          1666,
          3848,
          1191,
          3103,
          1258,
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          2336,
          2441,
          2472,
          3402,
          1543,
          2164,
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          1094,
          1996,
          5517,
          1051,
          4619,
          923,
          2330,
          3189,
          2229,
          2019,
          4047,
          1304,
          1620,
          2520,
          1600,
          1725,
          1589,
          1650,
          6996,
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          1337,
          974,
          1049,
          2985,
          1291,
          1558,
          1587,
          1553,
          1270,
          2254,
          1488,
          1672,
          2008,
          1908,
          2838,
          1427,
          995,
          2567,
          2051,
          1069,
          947,
          1348,
          899,
          1939,
          1059,
          2725,
          1771,
          2073,
          1868,
          2693,
          1895,
          2284,
          1054,
          1065,
          1994,
          3113,
          2874,
          996,
          1337,
          2964,
          1309,
          1550,
          1672,
          1568,
          890,
          2113,
          3087,
          3269,
          2356,
          2816,
          1763,
          2815,
          4282,
          1656,
          1532,
          3578,
          919,
          2370,
          1880,
          1366,
          1012,
          901,
          1385,
          1859,
          2406,
          4697,
          4689,
          1553,
          3680,
          1961,
          1620,
          873,
          2950,
          1648,
          1564,
          2351,
          1508,
          1299,
          4422,
          2251,
          2514,
          2703,
          3700,
          1981,
          1724,
          1565,
          1790,
          3964,
          1560,
          2732,
          2022,
          2074,
          3266,
          2366,
          1712,
          2400,
          3000,
          2647,
          1040,
          4254,
          1446,
          3450,
          1705,
          2379,
          1092,
          1371,
          1643,
          2429,
          2911,
          2100,
          1152,
          2384,
          5229,
          1754,
          2378,
          1356,
          2455,
          1152,
          2567,
          1883,
          1712,
          1882,
          1682,
          7497,
          1486,
          1890,
          1651,
          2019,
          2299,
          1527,
          3358,
          1337,
          2384,
          1471,
          4954,
          3147,
          4016,
          928,
          877,
          3054,
          4344,
          1310,
          2968,
          4569,
          2552,
          2012,
          4328,
          4931,
          3682,
          4263,
          1156,
          2418,
          1462,
          2962,
          2459,
          1155,
          836,
          2693,
          1484,
          1901,
          3113,
          1341,
          1165,
          3946,
          1909,
          2025,
          1777,
          1461,
          3494,
          2404,
          1089,
          1338,
          1512,
          2401,
          3411,
          4329,
          843,
          2047,
          1316,
          2650,
          1070,
          935,
          3039,
          2557,
          1494,
          1788,
          1837,
          2803,
          3102,
          1411,
          1596,
          2270,
          15458,
          1710,
          1068,
          2671,
          3377,
          1883,
          1012,
          1923,
          3189,
          1215,
          1835,
          3173,
          1032,
          3403,
          1908,
          3593,
          3393,
          4875,
          1615,
          2343,
          1750,
          1767,
          1794,
          1411,
          1536,
          1998,
          1713,
          2267,
          1253,
          1482,
          1232,
          1410,
          1530,
          1245,
          1685,
          4054,
          2386,
          1481,
          1351,
          1499,
          2769,
          2985,
          2720,
          1695,
          889,
          5003,
          1516,
          1163,
          2360,
          2857,
          1440,
          714,
          1705,
          2356,
          1676,
          803,
          2951,
          2588,
          1822,
          1462,
          1412,
          1428,
          1077,
          2909,
          2926,
          1202,
          2024,
          1711,
          1917,
          1822,
          1370,
          2470,
          3102,
          7447,
          1472,
          1540,
          1655,
          1467,
          728,
          981,
          3593,
          1991,
          2008,
          2890,
          3076,
          4274,
          2184,
          935,
          3015,
          1633,
          2207,
          1654,
          2476,
          897,
          3616,
          2731,
          2852,
          1724,
          1712,
          1797,
          3203,
          1633,
          1144,
          1144,
          979,
          2746,
          1247,
          1868,
          1160,
          3876,
          1792,
          1481,
          1173,
          1777,
          487,
          2162,
          1470,
          2667,
          4573,
          1484,
          1663,
          1471,
          1109,
          5017,
          1582,
          1615,
          968,
          1655,
          1489,
          1286,
          1310,
          1336,
          2180,
          3899,
          1705,
          1798,
          3044,
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          1812,
          2461,
          2969,
          2512,
          3232,
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          1128,
          1661,
          2411,
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          1287,
          1052,
          1884,
          1050,
          1312,
          2051,
          4188,
          2245,
          1381,
          1467,
          3301,
          1016,
          1594,
          1720,
          1644,
          2940,
          1774,
          2951,
          3664,
          1823,
          1643,
          1690,
          2348,
          1798,
          3040,
          1989,
          2860,
          2874,
          761,
          1009,
          2728,
          4278,
          1365,
          1944,
          1246,
          1765,
          1193,
          2062,
          2629,
          3266,
          2890,
          2472,
          1562,
          5311,
          3964,
          1337,
          1464,
          3756,
          775,
          1883,
          932,
          3467,
          3006,
          2237,
          983,
          1367,
          2568,
          3080,
          2348,
          1122,
          2122,
          1957,
          1561,
          1580,
          2793,
          1958,
          1838,
          2459,
          1802,
          2337,
          1543,
          2591,
          1125,
          1412,
          790,
          2066,
          2219,
          3161,
          2643,
          1070,
          2571,
          1650,
          1241,
          2299,
          968,
          2059,
          2556,
          749,
          4899,
          1469,
          2870,
          3410,
          2270,
          1412,
          1295,
          1792,
          4569,
          2476,
          4673,
          1394,
          1713,
          2487,
          889,
          1012,
          1294,
          2839,
          2667,
          3160,
          1322,
          918,
          2824,
          2107,
          3011,
          2447,
          3408,
          2720,
          2484,
          2323,
          1381,
          1090,
          1506,
          1505,
          3067,
          1331,
          2488,
          4059,
          1963,
          3030,
          2096,
          3087,
          1240,
          13358,
          1530,
          1090,
          803,
          1266,
          1070,
          1347,
          1101,
          1111,
          2885,
          3011,
          1163,
          1561,
          5556,
          2099,
          1932,
          4329,
          1190,
          705,
          1436,
          2107,
          3553,
          777,
          5074,
          1232,
          1823,
          1654,
          1202,
          2290,
          710,
          1712,
          2018,
          815,
          2173,
          2046,
          1473,
          1421,
          2846,
          2049,
          1947,
          2974,
          2256,
          1089,
          5877,
          2647,
          2401,
          2519,
          733,
          2972,
          908,
          4697,
          1483,
          1399,
          1704,
          2427,
          1356,
          1654,
          1766,
          1896,
          1395,
          2738,
          2026,
          2539,
          1106,
          3881,
          2084,
          1540,
          4897,
          2423,
          2030,
          3101,
          1664,
          2079,
          1777,
          3571,
          2708,
          1564,
          848,
          1789,
          1049,
          2091,
          4510,
          2294,
          1324,
          2513,
          3570,
          2925,
          2416,
          4580,
          1192,
          2867,
          2695,
          2431,
          3593,
          2037,
          2493,
          1508,
          4395,
          3339,
          943,
          1149,
          1940,
          1695,
          5004,
          2385,
          1862,
          2224,
          842,
          1422,
          2106,
          4064,
          2504,
          3160,
          1792,
          1017,
          1323,
          2244,
          2163,
          13052,
          1506,
          2380,
          1697,
          714,
          3646,
          1904,
          4237,
          1108,
          4328,
          1336,
          1779,
          2223,
          932,
          1608,
          1341,
          2126,
          1178,
          4900,
          1194,
          1720,
          1389,
          1989,
          2679,
          2101,
          733,
          932,
          1908,
          1843,
          1370,
          2643,
          1130,
          968,
          2869,
          2039,
          2523,
          705,
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          1902,
          3101,
          4150,
          2023,
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          1357,
          3179,
          1238,
          2360,
          2380,
          965,
          2288,
          2853,
          1554,
          1637,
          1380,
          1633,
          1274,
          3898,
          2506,
          817,
          1125,
          1802,
          1893,
          1403,
          1150,
          1319,
          2703,
          1780,
          777,
          3281,
          4805,
          1298,
          2375,
          1895,
          924,
          2861,
          1791,
          1483,
          2998,
          2980,
          2927,
          2336,
          2082,
          974,
          1690,
          1461,
          2896,
          3508,
          2598,
          1826,
          1940,
          1397,
          1552,
          3174,
          2306,
          2273,
          1449,
          1773,
          1314,
          2803,
          1180,
          1598,
          1135,
          2967,
          2803,
          2414,
          1625,
          2312,
          2276,
          3067,
          3237,
          2106,
          4764,
          1175,
          984,
          3080,
          3408,
          2248,
          932,
          2069,
          1728,
          1138,
          2962,
          2180,
          1822,
          2706,
          1299,
          1211,
          1616,
          2369,
          1163,
          1944,
          3024,
          1608,
          994,
          2549,
          2365,
          1287,
          2802,
          1232,
          1163,
          985,
          680,
          1233,
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          3876,
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          2018,
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          1430,
          1643,
          4107,
          1832,
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          1210,
          1643,
          1481,
          928,
          1522,
          2595,
          2456,
          1607,
          1576,
          1904,
          1412,
          1377,
          2435,
          1587,
          2164,
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          3646,
          1645,
          2803,
          1032,
          2187,
          3400,
          1882,
          3338,
          1639,
          2171,
          2320,
          1287,
          1351,
          760,
          1296,
          3163,
          2389,
          1672,
          2131,
          1859,
          1833,
          1536,
          1366,
          1421,
          1880,
          1554,
          2163,
          1562,
          1255,
          939,
          2365,
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          3301,
          741,
          928,
          1637,
          1760,
          2177,
          2050,
          3551,
          1127,
          998,
          1093,
          1704,
          912,
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          6117,
          1255,
          2315,
          2973,
          2352,
          4026,
          2099,
          1263,
          2841,
          2254,
          2081,
          2253,
          2254,
          1316,
          4422,
          816,
          1187,
          2431,
          1070,
          2736,
          1216,
          1705,
          1462,
          1175,
          1158,
          1700,
          790,
          1145,
          2112,
          2631,
          2747,
          1204,
          2103,
          2186,
          2269,
          1455,
          13052,
          902,
          1165,
          1376,
          2461,
          818,
          1411,
          1028,
          1398,
          1304,
          1078,
          1056,
          3011,
          1346,
          1390,
          1357,
          2850,
          1364,
          1195,
          2753,
          4013,
          1299,
          705,
          1422,
          1254,
          1822,
          3769,
          1779,
          1671,
          1084,
          2383,
          4383,
          1932,
          2666,
          964,
          1891,
          2946,
          898,
          1330,
          1653,
          1307,
          1105,
          3202,
          2965,
          2437,
          1429,
          1699,
          24579,
          1152,
          4444,
          2327,
          3048,
          1338,
          2171,
          2296,
          3214,
          3591,
          3647,
          831,
          1726,
          1397,
          1356,
          3251,
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          4343,
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          1274,
          1450,
          2553,
          1703,
          2073,
          1692,
          1593,
          1790,
          1239,
          1120,
          727,
          2824,
          2885,
          1443,
          1505,
          2003,
          873,
          2764,
          2703,
          1426,
          1789,
          5311,
          3408,
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          1401,
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          3299,
          1255,
          1079,
          1500,
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          4918,
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          2667,
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          2755,
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          1615,
          2390,
          1729,
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          1223,
          1852,
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          1880,
          976,
          1477,
          1696,
          1326,
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          1710,
          2652,
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          3782,
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          746,
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          2513,
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          1698,
          3999,
          2486,
          1806,
          3011,
          1939,
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          3325,
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          2170,
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          2401,
          1489,
          705,
          2401,
          1706,
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          848,
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          1364,
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          2557,
          1643,
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          2712,
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          2437,
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          4283,
          1404,
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          4892,
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          4053,
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          3930,
          2549,
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          2804,
          822,
          4240,
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          1138,
          1600,
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          4580,
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          2271,
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          1835,
          2125,
          1882,
          1765,
          1910,
          1924,
          2504,
          1573,
          2458,
          1777,
          1580,
          1411,
          2523,
          3338,
          1599,
          1801,
          1707,
          944,
          1356,
          3964,
          1291,
          1165,
          2769,
          2514,
          710,
          1536,
          1440,
          1385,
          24579,
          2932,
          1984,
          1328,
          3664,
          1604,
          1705,
          1798,
          1208,
          1860,
          2378,
          6641,
          3414,
          1447,
          3217,
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          1423,
          1263,
          3161,
          1913,
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          3703,
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          2253,
          2730,
          2156,
          2596,
          3590,
          2077,
          1939,
          2833,
          1442,
          2520,
          1133,
          1608,
          1497,
          2180,
          1216,
          3046,
          2254,
          3899,
          1510,
          3680,
          2047,
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          1283,
          1541,
          7497,
          4441,
          2447,
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          1870,
          1383,
          2749,
          2211,
          1068,
          963,
          1661,
          1625,
          2260,
          2846,
          1979,
          961,
          2079,
          1543,
          989,
          1643,
          3342,
          2101,
          5568,
          1889,
          867,
          2716,
          1941,
          1152,
          1595,
          2369,
          3402,
          4899,
          4220,
          850,
          1522,
          1314,
          819,
          979,
          2176,
          3054,
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          1340,
          1617,
          3802,
          2417,
          2943,
          1374,
          1080,
          2142,
          1370,
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          1980,
          2522,
          2568,
          3050,
          1607,
          1683,
          3296,
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          5517,
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          4016,
          1217,
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          822,
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          923,
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          720,
          2736,
          5004,
          2807,
          3428,
          2964,
          1465,
          1709,
          3203,
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          714,
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          2400,
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          3712,
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          3876,
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          939,
          1409,
          1787,
          2477,
          1716,
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djxo6ekLG5RZ7DtS11106/PCywfW5WX1gc8G3P2romAnq1bW9Tq11Ykbp4p+Xqv/gUday/cQzL8icQTYZ7/0wl/ekS6GR7b3zNs83sv2P2qcE1/zmNNfsZHvvW/+Za+3N5UsPjh8RXGYTRrbTzyQbvuYs8d6XX5jr1V99/Z3gMwRLl/2mQoUKqv7ZZ6rx9VcF7+BkJ9tZschKtvc+i7w+ZUPALP3djP1dRpKTM9s2+8sw3d9+52c7BCAAAQhAwCcCXst2Vncj2Rue+TCXuYb79la36Nx0MZeCDySa66L3PLO9t3DktNZcprEhJTVDqtNnMLJm3hJPv2bbXEayt2yb630X//yL7h87NGN0c+1ti3bddGad2plk+7DDyqp/j06ZDtHIzXFVqwRnbLO7G0lO5MN8cK5ihfKqWrmS5j33ku4beXdw+U37rn2DM7HmLK+RUHNWM13YzAdIzQc893y0vqOHTj6xRiDuWc2zcPESDRoyNjjzfVad0/Z50WF7zfbLr/0zuPzDfCizlHnhstejZKniwQfnciLbOc01N2XbrPXjoiXBtfTm9n9/d3/q1NRUffrF13rsiWdVp/Ypan/brdayfdN1VweXLaU/Vqz4U3f2vTvjsh1z//uTT6qZ6QOS332/SPeMui94AZYT2bbZX8i2T78+mAUCEIAABHJCIOllO13uenS+PeOuHeaWe70GDNXvK/4T3B3DXMualXzltNZc8/zuh58EZ8XNByLNw4hqx+7mmu2j/la2zVneDSkbM31oLv2Pt5i7kRhBMg9zljE1dZMe2ON673XrUoIPxJkPTF579WVWsv3Cy28E198ee2wF5VUemT9eYh5deg3S5Rc31MOznghupWjOrm/bvl1tOvYMLrdIn888d/nvf6h7v3uCD2JefvH5Wc6TunFjcKnJFZdeENwNJv0xa85Tevn1t63PbJu7v5gXOeaymj3vs27O3qdu3BS882EeOZHtnOZqBNhkMfzuv7/Ptu2Z7bfe/SD4MOOeLzL3lG1zVxhz/HXPPD3T97b5YKb5kKh5hyJdZNM/BPp3LLI6s23ejTDvSqQ/Pvzkc90/ZUbw4sZ8ELZH/yEqf9QR6nLH/969Sb+0Z2/Z3nOGPY/DZn8h2zn5sc5zIAABCEDAJwJJL9vmA3l33Nlfx1U5Vq2bNwk+VGhuC2fuqmA+ENnx9pY67dSTNOfJZ/e5rCCntb8sXaa7h48Lbi9n7vqwdftWPTr7aa1PSVGB/AX+Vrafeu5lPfPCq4EcGpE1d5t4/+PPtG3rdu3cmRZ8wM5ccmDEx9zl4oTjq+maKy8JLpt5bO4zwW3nxgwdGNwG0ObMtrnGtd/duy9vuPmGazOEzUjQ9z8sDO6EYs6mpv/1wnnPvqTnXnpNTW+6Lrhzx5q1a/Xo7Ke0dt16jRk2QMWKFs12HnN5zXffL1TLW25UpUrH6PsfF+v1t94J7mSSkzPb5gOg6bea2/ObxfxVSXPZhHkBY96VaN70xuAvL65Zt07znnlJf/61MhBO84IoJ7L9w8KfcpTrpIdm6suvF6hvtztUsmRJFSlSKMu/IJlT2d7zj9qYP9Zk2Jrr+s0ftTEfVjXvGpg7gJjHnpJqLsUxd4wxL3TMZUmFChbS8hV/BLddPOP02sHZ5/RrrC+98Fw1OOdsHV3uSJkXOvu/jGStzO0nDy1TWhedf27wrouZy4i8+cDumKEDgpmmPvx4cAmL+XCiuWb+hx8XB+80mEta0mU7qxmmz3oi01/CtNlfOXknx6cfsswCAQhAAAIHN4Gkl20Tn7ku2lxz/NdKcw/sQ3XNFZfozDqn6Z6R9wW3d2ve5Ab9svTXLIUjJ7Xm8hRz1vH5l17X2nUpwQcZG9/QSG+/+2Hw30MG7r6WO6vLSMwZ1+mz5uqrrxdo565dOuWkE4Jb8H37w4/B7erKHFIqEEQj29WqVg5unffam29rzdr1OuqIw9W08bU65aSaQX8b2Tb1t3fpHZyhffC+ESpdevc1xeln2c0LiY5tm2d8N5hr1M0lG+aDnebDoUUKFw4+GNn4+kaB+P/dPOZDqtNnzgnuA24e5gWEOTNvrtlOv6VdVt926bNk9y1pLn058ojDgnujz3vmxYCHua+6uWzkxJrVg+uKD+TMtlknJ7maD32OmzQteCFn3gW45MJzrWR7zz/XbmYwn0WoUKGcGtavq7pn/SPT4e99GYm5baN5l+K33//Qju3bg/tsn/GP2rru6sszrmN/YPosffLZlyperIhG3dNPRmz3J9vpgmw+sLtw8c/67F9fy9xJp1q1SrqtWZOAu3msW58icw9zc09vs0dOrlk9uBON+UDtnndA2XuGx+c9n0m2bfYXsn1w/9Li6CEAAQgkGwEvZdtHiCkpqSparEimvwjZre9gHVvxmEySGnZ2I9tVq1R20ivsDAdjXaJzPRiZcswQgAAEIAABCPyPALKdg93w2/Lf1XPAMDWod2bwFn6ePHn1zgcf65XX3w7uSZx+27sctMr2Kci2Db1wtbmRa7jJqIIABCAAAQhAIC4EkO0cJmnuQ/2s+ZPrv69QHuUJroVtdOUlwfXMLh7ItguKB94j0bke+ERUQAACEIAABCAQJwLIdpzS5FggAAEIQAACEIAABLwigGx7FQfDQAACEIAABCAAAQjEiQCyHac0ORYIQAACEIAABCAAAa8IINtexcEwEIAABCAAAQhAAAJxIoBsxylNjgUCEIAABCAAAQhAwCsCyLZXcTAMBCAAAQhAAAIQgECcCCDbcUqTY4EABCAAAQhAAAIQ8IoAsu1VHAwDAQhAAAIQgAAEIBAnAsh2nNLkWCAAAQhAAAIQgAAEvCKAbHsVB8NAAAIQgAAEIAABCMSJALIdpzQ5FghAAAIQgAAEIAABrwgg217FwTAQgAAEIAABCEAAAnEigGzHKU2OBQIQgAAEIAABCEDAKwLItldxMAwEIAABCEAAAhCAQJwIINtxSpNjgQAEIAABCEAAAhDwigCy7VUcDAMBCEAAAhCAAAQgECcCyHac0uRYIAABCEAAAhCAAAS8IoBsexUHw0AAAhCAAAQgAAEIxIkAsh2nNDkWCEAAAhCAAAQgAAGvCCDbXsXBMBCAAAQgAAEIQAACcSKAbMcpTY4FAhCAAAQgAAEIQMArAsi2V3EwDAQgAAEIQAACEIBAnAgg23FKk2OBAAQgAAEIQAACEPCKALLtVRwMAwEIQAACEIAABCAQJwLIdpzS5FggAAEIQAACEIAABLwigGx7FQfDQAACEIAABCAAAQjEiQCyHac0ORYIQAACEIAABCAAAa8IINtexcEwEIAABCAAAQhAAAJxIoBsxylNjgUCEIAABCAAAQhAwCsCyLZXcTAMBCAAAQhAAAIQgECcCCDbcUqTY4EABCAAAQhAAAIQ8IoAsu1VHAwDAQhAAAIQgAAEIBAnAsh2nNLkWCAAAQhAAAIQgAAEvCKAbHsVB8NAAAIQgAAEIAABCMSJALIdpzQ5FghAAAIQgAAEIAABrwgg217FwTAQgAAEIAABCEAAAnEigGzHKU2OBQIQgAAEIAABCEDAKwLItldxMAwEIAABCEAAAhCAQJwIINtxSpNjgQAEIAABCEAAAhDwigCy7VUcDAMBCEAAAhCAAAQgECcCyHac0uRYIAABCEAAAhCAAAS8IoBsexUHw0AAAhCAAAQgAAEIxIkAsh2nNDkWCEAAAhCAAAQgAAGvCCDbXsXBMBCAAAQgAAEIQAACcSKAbMcpTY4FAhCAAAQgAAEIQMArAsi2V3EwDAQgAAEIQAACEIBAnAgg23FKk2OBAAQgAAEIQAACEPCKALJtEUexooW0cdNWiw6U+kBg2/Yd2rJ1u0oWL+LDOMwQksDOXbu0bv0mlSldLGQHynwhsGb9RpUuUVR58+bxZSTmCEFgQ+oWFSyUX4UK5A9RTQkE4kMA2bbIEtm2gOdRKbLtURgWoyDbFvA8K0W2PQsk5DjIdkhwlMWOALJtESmybQHPo1Jk26MwLEZBti3geVaKbHsWSMhxkO2Q4CiLHQFk2yJSZNsCnkelyLZHYViMgmxbwPOsFNn2LJCQ4yDbIcFRFjsCyLZFpMi2BTyPSpFtj8KwGAXZtoDnWSmy7VkgIcdBtkOCoyx2BJBti0iRbQt4HpUi2x6FYTEKsm0Bz7NSZNuzQEKOg2yHBEdZ7Agg2xaRItsW8DwqRbY9CsNiFGTbAp5npci2Z4GEHAfZDgmOstgRQLYtIkW2LeB5VIpsexSGxSjItgU8z0qRbc8CCTkOsh0SHGWxI4BsW0SKbFvA86gU2fYoDItRkG0LeJ6VItueBRJyHGQ7JDjKYkcA2baIFNm2gOdRKbLtURgWoyDbFvA8K0W2PQsk5DjIdkhwlMWOALJtESmybQHPo1Jk26MwLEZBti3geVaKbHsWSMhxkO2Q4CiLHQFk2yJSZNsCnkelyLZHYViMgmxbwPOsFNn2LJCQ4yDbIcFRFjsCyLZFpImU7d9++81ispyVVqhQIWdPjPmzkO14BIxsxyNHcxTIdjyyRLbjkSNHYU8A2bZgmEjZbtmsiRYt/tliur8vHTJkmM4977yE9U+mxsh2MqWV/azIdjxyRLbjkyOyHZ8sORI7Asi2Bb9Ey3bD8ht0YY0SFhNmXXrTtF818K57kO3/4kG2nW+xSBoi25FgT8iinNlOCNZcb4ps5zpyFvSUALJtEUxuyHarumUtJsy69OxRi5DtPdAg2863WCQNke1IsCdkUWQ7IVhzvSmynevIWdBTAsi2RTDItgU8j0qRbY/CsBgF2baA51kpsu1ZICHHQbZDgqMsdgSQbYtIkW0LeB6VItsehWExCrJtAc+zUmTbs0BCjoNshwRHWewIINsWkSLbFvA8KkW2PQrDYhRk2wKeZ6XItmeBhBwH2Q4JjrLYEUC2LSJFti3geVSKbHsUhsUoyLYFPM9KkW3PAgk5DrIdEhxlsSOAbFtEimxbwPOoFNn2KAyLUZBtC3ielSLbngUSchxkOyQ4ymJHANm2iBTZtoDnUSmy7VEYFqMg2xbwPCtFtj0LJOQ4yHZIcJTFjgCybREpsm0Bz6NSZNujMCxGQbYt4HlWimx7FkjIcZDtkOAoix0BZNsiUmTbAp5Hpci2R2FYjIJsW8DzrBTZ9iyQkOMg2yHBURY7Asi2RaTItgU8j0qRbY/CsBgF2baA51kpsu1ZICHHQbZDgqMsdgSQbYtIkW0LeB6VItsehWExCrJtAc+zUmTbs0BCjoNshwRHWewIINsWkSLbFvA8KkW2PQrDYhRk2wKeZ6XItmeBhBwH2Q4JjrLYEUC2LSJFti3geVSKbHsUhsUoyLYFPM9KkW3PAgk5DrIdEhxlsSOAbFtEimxbwPOoFNn2KAyLUZBtC3ielSLbngUSchxkOyQ4ymJHANm2iBTZtoDnUSmy7VEYFqMg2xbwPCtFtj0LJOQ4yHZIcJTFjgCybREpsm0Bz6NSZNujMCxGQbYt4HlWimx7FkjIcZDtkOAoix0BZNsiUmTbAp5Hpci2R2FYjIJsW8DzrBTZ9iyQkOMg2yHBURY7Asi2RaTItgU8j0qRbY/CsBgF2baA51kpsu1ZICHHQbZDgqMsdgSQbYtIkW0LeB6VItsehWExCrJtAc+zUmTbs0BCjoNshwRHWewIINsWkSLbFvA8KkW2PQrDYhRk2wKeZ6XItmeBhBwH2Q4JjrLYEUC2LSJFti3geVSKbHsUhsUoyLYFPM9KkW3PAgk5DrIdEhxlsSOAbFtEimxbwPOoFNn2KAyLUZBtC3ielSLbngUSchxkOyQ4ymJHANm2iBTZtoDnUSmy7VEYFqMg2xbwPCtFtj0LJOQ4yHZIcJTFjgCybREpsm0Bz6NSZNujMCxGQbYt4HlWimx7FkjIcZDtkOAoix0BZNsiUmTbAp5Hpci2R2FYjIJsW8DzrBTZ9iyQkOMg2yHBURY7Asi2RaTItgU8j0qRbY/CsBgF2VkUStQAACAASURBVLaA51kpsu1ZICHHQbZDgqMsdgSQbYtIkW0LeB6VItsehWExCrJtAc+zUmTbs0BCjoNshwRHWewIINsWkSLbFvA8KkW2PQrDYhRk2wKeZ6XItmeBhBwH2Q4JjrLYEUC2LSJFti3geVSKbHsUhsUoyLYFPM9KkW3PAgk5DrIdEhxlsSOAbFtEimxbwPOoFNn2KAyLUZBtC3ielSLbngUSchxkOyQ4ymJHANm2iBTZtoDnUSmy7VEYFqMg2xbwPCtFtj0LJOQ4yHZIcJTFjgCybREpsm0Bz6NSZNujMCxGQbYt4HlWimx7FkjIcZDtkOAoix0BZNsiUmTbAp5Hpci2R2FYjIJsW8DzrBTZ9iyQkOMg2yHBURY7Asi2RaTItgU8j0qRbY/CsBgF2baA51kpsu1ZICHHQbZDgqMsdgSQbYtIkW0LeB6VItsehWExCrJtAc+zUmTbs0BCjoNshwRHWewIINsWkSLbFvA8KkW2PQrDYhRk2wKeZ6XItmeBhBwH2Q4JjrLYEUC2LSJFti3geVSKbHsUhsUoyLYFPM9KkW3PAgk5DrIdEhxlsSOAbFtEimxbwPOoFNn2KAyLUZBtC3ielSLbngUSchxkOyQ4ymJHANm2iBTZtoDnUSmy7VEYFqMg2xbwPCtFtj0LJOQ4yHZIcJTFjgCybREpsm0Bz6NSZNujMCxGQbYt4HlWimx7FkjIcZDtkOAoix0BZNsiUmTbAp5Hpci2R2FYjIJsW8DzrBTZ9iyQkOMg2yHBURY7Asi2RaTItgU8j0qRbY/CsBgF2baA51kpsu1ZICHHQbZDgqMsdgSQbYtIkW0LeB6VItsehWExCrJtAc+zUmTbs0BCjoNshwRHWewIINsWkSLbFvA8KkW2PQrDYhRk2wKeZ6XItmeBhBwH2Q4JjrLYEYiVbKelpWnu0y/opVff0tSJI1WiePEgsNnzntPLr72lvHnzZgQ4dFAvHXN0ef351ypNfmimli77TWXLHqq2LZrouKqVg+fNX/CdZjz2pNatS1HVqpXUsW0LlSpZIqMHsh2P7wdkOx45ItvxyNEcBbIdjyyR7XjkyFHYE4iVbI8Z/6COrVhBz7zwqqZMGJEh29NmzFGFCuV1ccP6+xC7a9i9OvnEGrrq8ov01fwFmvn4kxo/+h5t27pVnXoMUud2rVSjRjXNmfecVq9eqy53tEa27fedVx2Qba/iCD0Msh0anXeFyLZ3kYQaCNkOhY2iGBKIlWwvXbZcxx5ztG5u2SGTbE944GHVrnWi6p1dJ1OEKSmp6tRzgKZPGqN8+fIFX+szaIRuaXyt1qds0Lvvf6w+3TsG/75p82bd3rlP8NwCBfIH/8aZ7Xh8RyDb8cgR2Y5HjpzZjk+OyHZ8suRI7AjESrbTUewt28PH3i/t2qXlK/6jvHnzqGGDemp05SVa+NMSTZs5R6OH9M+gaMS85gnHKWV9qtanpKh50xsyvnZ7594a1OdOHXXk4ci23b7zqhrZ9iqO0MMg26HReVfImW3vIgk1ELIdChtFMSRwUMj2cy++poKFCqlhg7patXqNho2ZqFtvvk5FCxfR3Kefl7l+O/3xwPRZwbXcG1JTZa4Bb3LDNRlf69h9gLp1bBNcqpJ+Znvd+k0J2Ra3tbxFFxy9Qa3qlnXe/+xRi9Rv4N1q0OA8572TseH2tDRt27ZDxYoUSsbxmfm/BHZql1JTt6hk8SIwSXICKRs3q3jRwsqbJ0+SH8nBPf6mzduUv2A+FfzvO8cHN43kPvoCBXa/+88jHIGDQrb3RvPM869o1eq1alD/TD04/TGNGz4o4yljJ07VKSefoA0pqcFzWjdvnPG1Vu27a8jAnpnObK/4a1048vup6tC2hS6skJow2e7Zd6DqndMgIbMnW9NdO3fJnBXNl+9/H6BNtmNgXkm7pB1pO5U/Pzkm+37YsWOn8pvvR1w7qaNMS9sZvGDKk5cgkzpISaU4iWEV4UEh2z8uWqzKlSqqYIECAax5z76k1NRUXXfNFerQrb8emjhKBQsWDL7Wtc/dwR1JzDXbr7/1ngb27hL8u7kjSedeA4NrtvPn55ptq13nWTGXkXgWSMhxuIwkJDgPy7iMxMNQQozEZSQhoFESSwIHhWwPHDJGJ9Y8Xtc3ukJ/rVytwSPGqU2LJqp10gkaMnqCalSrqquvvFifff5VcOvA+0bepe3btqtTr4Hq2KalalSvqkdnP61NWzarQ5vmGRuBD0jG43sC2Y5Hjsh2PHI0R4FsxyNLZDseOXIU9gRiI9vmTHW7rn0DItu378i4Y8j9Y4dqy5atmjrjMf2ydLmKFS2iyy5uqEsvPDd4rrlUZNLUGfp56a86/LCyatf6VlU+9pjga999v0jTZs7W2nXrVeP4qrqjTTMV/++9u83XkW37DehDB2TbhxTsZ0C27Rn60gHZ9iUJuzmQbTt+VMeHQGxkO4pIkO0oqLtfE9l2zzSKjsh2FNQTsyaynRiuud0V2c5t4qznKwFk2yIZZNsCnkelyLZHYViMgmxbwPOsFNn2LJCQ4yDbIcFRFjsCyLZFpMi2BTyPSpFtj8KwGAXZtoDnWSmy7VkgIcdBtkOCoyx2BJBti0iRbQt4HpUi2x6FYTEKsm0Bz7NSZNuzQEKOg2yHBEdZ7Agg2xaRItsW8DwqRbY9CsNiFGTbAp5npci2Z4GEHAfZDgmOstgRQLYtIkW2LeB5VIpsexSGxSjItgU8z0qRbc8CCTkOsh0SHGWxI4BsW0SKbFvA86gU2fYoDItRkG0LeJ6VItueBRJyHGQ7JDjKYkcA2baIFNm2gOdRKbLtURgWoyDbFvA8K0W2PQsk5DjIdkhwlMWOALJtESmybQHPo1Jk26MwLEZBti3geVaKbHsWSMhxkO2Q4CiLHQFk2yJSZNsCnkelyLZHYViMgmxbwPOsFNn2LJCQ4yDbIcFRFjsCyLZFpMi2BTyPSpFtj8KwGAXZtoDnWSmy7VkgIcdBtkOCoyx2BJBti0iRbQt4HpUi2x6FYTEKsm0Bz7NSZNuzQEKOg2yHBEdZ7Agg2xaRItsW8DwqRbY9CsNiFGTbAp5npci2Z4GEHAfZDgmOstgRQLYtIkW2LeB5VIpsexSGxSjItgU8z0qRbc8CCTkOsh0SHGWxI4BsW0SKbFvA86gU2fYoDItRkG0LeJ6VItueBRJyHGQ7JDjKYkcA2baIFNm2gOdRKbLtURgWoyDbFvA8K0W2PQsk5DjIdkhwlMWOALJtESmybQHPo1Jk26MwLEZBti3geVaKbHsWSMhxkO2Q4CiLHQFk2yJSZNsCnkelyLZHYViMgmxbwPOsFNn2LJCQ4yDbIcFRFjsCyLZFpMi2BTyPSpFtj8KwGAXZtoDnWSmy7VkgIcdBtkOCoyx2BJBti0iRbQt4HpUi2x6FYTEKsm0Bz7NSZNuzQEKOg2yHBEdZ7Agg2xaRItsW8DwqRbY9CsNiFGTbAp5npci2Z4GEHAfZDgmOstgRQLYtIkW2LeB5VIpsexSGxSjItgU8z0qRbc8CCTkOsh0SHGWxI4BsW0SKbFvA86gU2fYoDItRkG0LeJ6VItueBRJyHGQ7JDjKYkcA2baIFNm2gOdRKbLtURgWoyDbFvA8K0W2PQsk5DjIdkhwlMWOALJtESmybQHPo1Jk26MwLEZBti3geVaKbHsWSMhxkO2Q4CiLHQFk2yJSZNsCnkelyLZHYViMgmxbwPOsFNn2LJCQ4yDbIcFRFjsCyLZFpMi2BTyPSpFtj8KwGAXZtoDnWSmy7VkgIcdBtkOCoyx2BJBti0iRbQt4HpUi2x6FYTEKsm0Bz7NSZNuzQEKOg2yHBEdZ7Agg2xaRItsW8DwqRbY9CsNiFGTbAp5npci2Z4GEHAfZDgmOstgRQLYtIkW2LeB5VIpsexSGxSjItgU8z0qRbc8CCTkOsh0SHGWxI4BsW0SKbFvA86gU2fYoDItRkG0LeJ6VItueBRJyHGQ7JDjKYkcA2baIFNm2gOdRKbLtURgWoyDbFvA8K0W2PQsk5DjIdkhwlMWOALJtESmybQHPo1Jk26MwLEZBti3geVaKbHsWSMhxkO2Q4CiLHQFk2yJSZNsCnkelyLZHYViMgmxbwPOsFNn2LJCQ4yDbIcFRFjsCyLZFpMi2BTyPSpFtj8KwGAXZtoDnWSmy7VkgIcdBtkOCoyx2BJBti0iRbQt4HpUi2x6FYTEKsm0Bz7NSZNuzQEKOg2yHBEdZ7Agg2xaRItsW8DwqRbY9CsNiFGTbAp5npci2Z4GEHAfZDgmOstgRQLYtIkW2LeB5VIpsexSGxSjItgU8z0qRbc8CCTkOsh0SHGWxI4BsW0SKbFvA86gU2fYoDItRkG0LeJ6VItueBRJyHGQ7JDjKYkcA2baIFNm2gOdRKbLtURgWoyDbFvA8K0W2PQsk5DjIdkhwlMWOALJtESmybQHPo1Jk26MwLEZBti3geVaKbHsWSMhxkO2Q4CiLHQFk2yJSZNsCnkelyLZHYViMgmxbwPOsFNn2LJCQ4yDbIcFRFjsCyLZFpMi2BTyPSpFtj8KwGAXZtoDnWSmy7VkgIcdBtkOCoyx2BJBti0iRbQt4HpUi2x6FYTEKsm0Bz7NSZNuzQEKOg2yHBEdZ7Agg2xaRJqtsnzVyoapUq6ZDy5SxOPrsS9u266DKlSsnpHcimiLbiaCa+z2R7dxnnqgVke1Ekc3dvsh27vJmNX8JINsW2SSrbNcZ8aMa1SplceTZlz7z9To9OutxZDshdGn6dwSQ7fjsD2Q7Hlki2/HIkaOwJ4BsWzBMZtke3qicGlYvaXH0+5auWLdNV01egmw7pUqznBJAtnNKyv/nIdv+Z5STCZHtnFDiOQcDAWTbImVkOzM8ZNtiM1FqTQDZtkboTQNk25sorAZBtq3wURwjAsi2RZjINrJtsX0odUwA2XYMNMJ2yHaE8B0ujWw7hEmrpCbgvWzv2rVLaWlpyp8/v3egkW1k27tNeRAPhGzHJ3xkOx5ZItvxyJGjsCfgjWx37N5fE8cM2eeIUlNT1b3/ED143wj7o3XcAdlGth1vKdpZEEC2LeB5VopsexZIyHGQ7ZDgKIsdgchl+5tvf9C/v/1er735ri658Nx9AP+1crW++2GRHp48xjv4yDay7d2mPIgHQrbjEz6yHY8ske145MhR2BOIXLZ///0PffDpv/TCy2+odq0T9zmiQoUKqt7ZZ+jUk2vaH63jDsg2su14S9HOggCybQHPs1Jk27NAQo6DbIcER1nsCEQu2+lE5z37kq6/5oqkAoxsI9tJtWFjPiyyHZ+Ake14ZIlsxyNHjsKegDeybQ5l6bLlWvHHn9q+bds+R9bgnLPsj9ZxB2Qb2Xa8pWhnQQDZtoDnWSmy7VkgIcdBtkOCoyx2BLyR7ceffFYvvfqWyhxSWvnz59sH9PhRg72Dj2wj295tyoN4IGQ7PuEj2/HIEtmOR44chT0Bb2T79s691a9nJ1UoX87+qHKpA7KNbOfSVmOZHBBAtnMAKUmegmwnSVD7GRPZjkeOHIU9AW9ku2ufuzVu+CD7I8rFDsg2sp2L242l9kMA2Y7PFkG245Elsh2PHDkKewLeyPasOU/puGpVdMbpp9ofVS51QLaR7VzaaiyTAwLIdg4gJclTkO0kCYoz2/EIiqNIOAFvZPuB6bP02Rdf67AyZVT20EOkPHkyHXyvru0TDuNAF0C2ke0D3TM8P3EEkO3Esc3tzsh2bhNPzHqc2U4MV7omHwFvZPuxJ55R3rx5syV48/WN9kvX/Fn3uU+/EHzQcurEkSpRvHhQs23bNk15ZLa+mr9AhQoVCG4x2LBBveBrf/61SpMfmqmly35T2bKHqm2LJjquauXga/MXfKcZjz2pdetSVLVqJXVs20KlSpbImAPZRrb3uyl5Qq4RQLZzDXXCF0K2E444VxZAtnMFM4skAQFvZNsFqzHjH9SxFSvomRde1ZQJIzJk+8lnXtQvv/6mzu1aae3adbpr+L3q36tz8GHMu4bdq5NPrKGrLr8okPGZjz+p8aPv0batW9Wpx6CgpkaNapoz7zmtXr1WXe5ojWxnE9aKddt01eQlenTW46pcefcLlmR4bNu+Q1u2blfJ4kWSYVxmzIYAsh2frYFsxyNLZDseOXIU9gS8ke2Zs+dlezQ709LU4pab9nu05j7dxx5ztG5u2SGTbHfrO1i3t7pF1apUCno8NvdpFS5cWBed30Cdeg7Q9EljlC/f7tsN9hk0Qrc0vlbrUzbo3fc/Vp/uHYN/37R5s27v3Cd4boEC+YN/48x25kiQ7f1uUZ6QQALIdgLh5nJrZDuXgSdoOWQ7QWBpm3QEvJHtcfc/lAme+cW5evUarfjzL9U943Td1vzmHMPdW7abtOoYyHfxYsWCHm+9+4F+WLhYF51fX9NmztHoIf0zek944GHVPOE4paxP1fqUFDVvekPG18ztCQf1uVNHHXk4sp1FGsh2jrcoT0wAAWQ7AVAjaolsRwTe8bLItmOgtEtaAt7IdnYEv5y/QN9+94OaNfmf9O6P9p6yvSMtTU1bddTMKfepUKGCQen7H36qz76cr0sanqu5Tz+voYN6ZbQ0H9Q85ujy2pCaKnMNeJMbrsn4WsfuA9StY5vgUhXzMGe2/7Ny/f7GCfX19m2a68IKqWpVt2yo+r8rqjPiRw1vVE4Nq5d02jtdtqdOm6Fjj939LkIyPHbu3KW0nTtVIIs/ppQM8zPjbgK7JG3fvkMF//vOE1ySl4C5tKtA/vx7f04+eQ/oIJ18+4604LNY+fJmvuHBQYojqQ+7RLHCST1/1MN7L9sG0IHegzurM9uT7h2q0qV2y+Wrb76rxT//oosa1teD0x/LdH/vsROn6pSTT9CGlFStWr1WrZs3zsioVfvuGjKwZ6Yz22vWbUxIhm1a3aoLj96QlLI9/ZFHValS8lyzbV6Qbd+epiKFd78Y45GcBHbt2qWNm7apeLFCyXkATJ1BIHXTVhUrUlB59rorFYiSi8CWLduVv0Be5f/vZZrJNT3T7kmgUMHdl8/yCEfAe9le/vsfGjJ6vB68b0SOj3Bv2e7Rb4ha3HKjTqheLegxbcYclSlTWheef446dOuvhyaOUsGCu0XLiL25I4m5Zvv1t97TwN5dgn83dyTp3GtgcM12/vxcs51VGFxGkuMtyhMTQIDLSBIANaKWXEYSEXjHy3IZiWOgtEtaAt7IdvuuffaBuGPHzuByjmuuvEQ3XHtljiHvLdvPvvCaFv60RF06tNbKlas0eMR4De7XTUcddYSGjJ6gGtWq6uorL9Znn38V3DrwvpF3afu27erUa6A6tmmpGtWr6tHZT2vTls3q0KZ5xhx8QDJzJMh2jrcoT0wAAWQ7AVAjaolsRwTe8bLItmOgtEtaAt7I9seffbEPRHO2udwRR6hcuSP2Czg1NVXtuvYNnmeu20y/Y8j9Y4eqWNEiemjmHH3+xXwVLlRQja+/WvXrnhk811wqMmnqDP289FcdflhZtWt9qyofe0zwte++X6RpM2dr7br1qnF8Vd3RppmK//fe3ebryDayvd+NyRNyjQCynWuoE74Qsp1wxLmyALKdK5hZJAkIeCPb6aw2b96sVWvWBv952KGHqnBhf6+/RLaR7ST4Hj9oRkS24xM1sh2PLJHteOTIUdgT8Ea2N27apMlTZ+qrf38r80En8zCfYj6rTm21adE0404i9ofsrgOyjWy72010siWAbNsS9Kce2fYnC5tJkG0betTGiYA3sj35oUe1avUaNbriYh1x+GEB4xX/+VPPPP+KKlc6Ri2a3ugdd2Qb2fZuUx7EAyHb8Qkf2Y5Hlsh2PHLkKOwJeCPb5g/GjLynn0qVLJHpqFavWaeBQ0Zp0r3D7I/WcQdkG9l2vKVoZ0EA2baA51kpsu1ZICHHQbZDgqMsdgS8ke3WHXpq4ui7VaRIkUyQt2zeorZdegd/lMa3B7KNbPu2Jw/meZDt+KSPbMcjS2Q7HjlyFPYEvJHtUeMmq2Spkmp6Q6OMO36Y2/7Nnve8Vq1erX7dO9kfreMOyDay7XhL0c6CALJtAc+zUmTbs0BCjoNshwRHWewIeCPbK1et0aj7Jsv8EZsSxYsHH5JM3bhRFSscrS53tNaRR+y+jtunB7KNbPu0Hw/2WZDt+OwAZDseWSLb8ciRo7An4I1sm0Mxgr3k56X6c+Xq4MiMYFepVNH+KBPUIdGyfX65DWpdr6zz6euM+FHDG5VTw+q7/3y9qwd/1MYVSfqEIYBsh6HmZw2y7WcuBzoVsn2gxHh+XAl4JdvzF3ynMoeU1jFHlw94L/juR6XtTNMpJ9X0kj+ynTkWZNvLbXrQDIVsxydqZDseWSLb8ciRo7An4I1sv/LGO3rymRfUtUMb1TqxRnBkn/7ra015+DHd9H9X6eILGtgfreMOyDay7XhL0c6CALJtAc+zUmTbs0BCjoNshwRHWewIeCPbd9zZV53at9LxVatkgvzjosW6f8ojMn923bcHso1s+7YnD+Z5kO34pI9sxyNLZDseOXIU9gS8ke1bbuukB+4bruLFimU6qnXrUtSpxwA9+tB4+6N13AHZRrYdbynaWRBAti3geVaKbHsWSMhxkO2Q4CiLHQFvZHvwiPtU8ZjyuuGaKzLutZ2SkqpZTzyt1WvWamCvLt7BR7aRbe825UE8ELIdn/CR7XhkiWzHI0eOwp6AN7K9YsWfGjf5If2+4j8qXryodu1UcOu/CuXLqUuH21TuyMPtj9ZxB2Qb2Xa8pWhnQQDZtoDnWSmy7VkgIcdBtkOCoyx2BLyRbUN271v/HXF42eDWf3ny5PESPLKNbHu5MQ/SoZDt+ASPbMcjS2Q7HjlyFPYEvJJt+8PJ3Q7INrKduzuO1f6OALIdn/2BbMcjS2Q7HjlyFPYEkG0Lhsg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCB4Vsz573nF5+GmyK7QAAIABJREFU7S3lzZs3I6yhg3rpmKPL68+/VmnyQzO1dNlvKlv2ULVt0UTHVa0cPG/+gu8047EntW5diqpWraSObVuoVMkSGT2QbWQ7qb/7YzY8sh2fQJHteGSJbMcjR47CnsBBIdvTZsxRhQrldXHD+vsQu2vYvTr5xBq66vKL9NX8BZr5+JMaP/oebdu6VZ16DFLndq1Uo0Y1zZn3nFavXqsud7RGtrPZdyvWbdNVk5fo0VmPq3Ll3S9YkuGxbfsObdm6XSWLF0mGcZkxGwLIdny2BrIdjyyR7XjkyFHYEzgoZHvCAw+rdq0TVe/sOpmIpaSkqlPPAZo+aYzy5csXfK3PoBG6pfG1Wp+yQe++/7H6dO8Y/PumzZt1e+c+wXMLFMgf/Btntjmzbf8tSAdXBJBtVySj74NsR5+BiwmQbRcU6REHAgeFbA8fe7+0a5eWr/iP8ubNo4YN6qnRlZdo4U9LNG3mHI0e0j8jSyPmNU84TinrU7U+JUXNm96Q8bXbO/fWoD536qgjD8+Q7dSNWxKyD1o2b6qG5Taodb2yzvvXGfGjhjcqp4bVSzrtnXFm+9HHVCmpzmynaeu27SpRrLBTHjTLXQI7d0nrUzbpkFJFc3dhVnNOYG3KJpUqXlR7XPnnfA0aJp5A6satKlAwvwoV2H0yi0fyEsiTJ0/yDu/B5AeFbD/34msqWKiQGjaoq1Wr12jYmIm69ebrVLRwEc19+nmZ67fTHw9MnxVcy70hNVVpaWlqcsM1GV/r2H2AunVso2MrVsiQ7WUr1iQkxk7tW+rCozcmpWxPfnC6Kh5bKSFcEtN0l3ktJn6YJIZu7nUlx9xjndiVdu3apd2/2/kFn1jSie1Ojonlm5vdDy1dLDeXi91aB4Vs753aM8+/olWr16pB/TP14PTHNG74oIynjJ04VaecfII2pKQGz2ndvHHG11q1764hA3tmOrO9cdPWhGyKls2a6PxkPbPNNdsJ2RM0/XsCXEYSnx3CZSTxyJLLSOKRI0dhT+CgkO0fFy1W5UoVVbBAgYDYvGdfUmpqqq675gp16NZfD00cpYIFCwZf69rn7uCOJOaa7dffek8De3cJ/t3ckaRzr4HBNdv583PNdlZbjw9I2n9D0iE8AWQ7PDvfKpFt3xIJNw+yHY4bVfEjcFDI9sAhY3RizeN1faMr9NfK1Ro8YpzatGiiWiedoCGjJ6hGtaq6+sqL9dnnX2nu0y/ovpF3afu27erUa6A6tmmpGtWr6tHZT2vTls3q0KZ5xi7gA5KZvyGQ7fj9gEimI0K2kymtv58V2Y5Hlsh2PHLkKOwJHBSybe6lPXXGY/pl6XIVK1pEl13cUJdeeG5Az1wqMmnqDP289FcdflhZtWt9qyofe0zwte++X6RpM2dr7br1qnF8Vd3RppmKFy+ObGez75Bt+29IOoQngGyHZ+dbJbLtWyLh5kG2w3GjKn4EDgrZTlRsnNnmzHai9hZ9D5wAsn3gzHytQLZ9TebA5kK2D4wXz44vAWTbIltkOzO8r37bqDazlumss85S8RL/+0ubFoj3KR0wYFCmvwTqojd/1MYFxeh7INvRZ+BqAmTbFclo+yDb0fJndX8IINsWWSDbWcv2JTXd3r87fZXXvkvR+x98hGxb7Nk4lyLb8UkX2Y5Hlsh2PHLkKOwJINsWDJHtrGX7iTaVVaVsIQuy+5Z+tCRVnZ/4Ddl2SjVezZDt+OSJbMcjS2Q7HjlyFPYEkG0Lhsg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8SHbCPbFtuHUscEkG3HQCNsh2xHCN/h0si2Q5i0SmoCyLZFfMg2sm2xfSh1TADZdgw0wnbIdoTwHS6NbDuESaukJoBsW8RnZHvxkqUWHbIv7dW9iy46ZrNa1yvrvH+dET9qeKNyali9pNPeX/22UW1mLdMTbSqrStlCTnt/tCRVnZ/4Te9/8JHy5s3rtPe27Tu0Zet2lSxexGlfmuUuAWQ7d3kncjVkO5F0c683sp17rFnJbwLItkU+RrZPPbW2RYfsSwvmz6uWZx+KbP8XEbKdkG0Wq6bIdnziRLbjkSWyHY8cOQp7Asi2BUMj232anqsWdd2ffW716K9qWqcMso1sW+zQg6sU2Y5P3sh2PLJEtuORI0dhTwDZtmCYLttDri5v0SXr0nPvXYRs74GGM9vOt1jsGiLb8YkU2Y5Hlsh2PHLkKOwJINsWDJHtzPC4ZttiM1FqTQDZtkboTQNk25sorAZBtq3wURwjAsi2RZjINrJtsX0odUwA2XYMNMJ2yHaE8B0ujWw7hEmrpCaAbFvEh2wj2xbbh1LHBJBtx0AjbIdsRwjf4dLItkOYtEpqAsi2RXzINrJtsX0odUwA2XYMNMJ2yHaE8B0ujWw7hEmrpCaAbFvEh2wj2xbbh1LHBJBtx0AjbIdsRwjf4dLItkOYtEpqAsi2RXzINrJtsX0odUwA2XYMNMJ2yHaE8B0ujWw7hEmrpCaAbFvEh2wj2xbbh1LHBJBtx0AjbIdsRwjf4dLItkOYtEpqAsi2RXzINrJtsX0odUwA2XYMNMJ2yHaE8B0ujWw7hEmrpCaAbFvEh2wj2xbbh1LHBJBtx0AjbIdsRwjf4dLItkOYtEpqAsi2RXzINrJtsX0odUwA2XYMNMJ2yHaE8B0ujWw7hEmrpCaAbFvEh2wj2xbbh1LHBJBtx0AjbIdsRwjf4dLItkOYtEpqAsi2RXzINrJtsX0odUwA2XYMNMJ2yHaE8B0ujWw7hEmrpCaAbFvEh2wj2xbbh1LHBJBtx0AjbIdsRwjf4dLItkOYtEpqAsi2RXzINrJtsX0odUwA2XYMNMJ2yHaE8B0ujWw7hEmrpCaAbFvEh2wj2xbbh1LHBJBtx0AjbIdsRwjf4dLItkOYtEpqAsi2RXzINrJtsX0odUwA2XYMNMJ2yHaE8B0ujWw7hEmrpCaAbFvEh2wj2xbbh1LHBJBtx0AjbIdsRwjf4dLItkOYtEpqAsi2RXzIdu7J9tQPV2nq+yt1w403WSSWdWlaWpp27NipHj26O+9Nw9wjgGznHutEr4RsJ5pw7vRHtnOHM6v4TwDZtsgI2c592a5TpZRFYlmXGkn7fWNhzXvmeee9aZh7BJDt3GOd6JWQ7UQTzp3+yHbucGYV/wkg2xYZIdu5L9uf96muvHnyWKS2b+msT1fpye/yINtOqeZ+M2Q795knakVkO1Fkc7cvsp27vFnNXwLItkU2yDaybbF9KHVMANl2DDTCdsh2hPAdLo1sO4RJq6QmgGxbxIdsI9sW24dSxwSQbcdAI2yHbEcI3+HSyLZDmLRKagLItkV8yDaybbF9KHVMANl2DDTCdsh2hPAdLo1sO4RJq6QmgGxbxIdsI9sW24dSxwSQbcdAI2yHbEcI3+HSyLZDmLRKagLItkV8yDaybbF9KHVMANl2DDTCdsh2hPAdLo1sO4RJq6QmgGxbxIdsI9sW24dSxwSQbcdAI2yHbEcI3+HSyLZDmLRKagLItkV8yDaybbF9KHVMANl2DDTCdsh2hPAdLo1sO4RJq6QmgGxbxIdsI9sW24dSxwSQbcdAI2yHbEcI3+HSyLZDmLRKagLItkV8yDaybbF9KHVMANl2DDTCdsh2hPAdLo1sO4RJq6QmgGxbxIdsI9sW24dSxwSQbcdAI2yHbEcI3+HSyLZDmLRKagLItkV8yDaybbF9KHVMANl2DDTCdsh2hPAdLo1sO4RJq6QmgGxbxIdsI9sW24dSxwSQbcdAI2yHbEcI3+HSyLZDmLRKagLItkV8yDaybbF9KHVMANl2DDTCdsh2hPAdLo1sO4RJq6QmgGxbxIdsI9sW24dSxwSQbcdAI2yHbEcI3+HSyLZDmLRKagLItkV8yDaybbF9KHVMANl2DDTCdsh2hPAdLo1sO4RJq6QmgGxbxIdsx0O2uz65TO8u2qB8efNa7IbsS885p56GjxidkN40/R8BZDs+uwHZjkeWyHY8cuQo7Akg23/DcP6C7zTjsSe1bl2KqlatpI5tW6hUyRIZFch2fGR70Z9b1evSo+y/o/bq8P6iDVpd4kRk2znZfRsi27kAOZeWQLZzCXSCl0G2EwyY9klDANnOJqpNmzapU49B6tyulWrUqKY5857T6tVr1eWO1sh2Nsy++m2j2sxapifaVFaVsoWcfhNM/XCVpr6/Up/3qa68efI47W3ObBvZfrljNad9TbMhr/yBbDunmnVDZDuXQOfCMsh2LkDOhSWQ7VyAzBJJQQDZziamTz7/Uu++/7H6dO8YPGPT5s26vXMfTZ80RgUK5A/+jTPbmeEh2/tupsEv/6E1JWpqyNARCfuBkD//7v14sD+Q7fjsAGQ7Hlki2/HIkaOwJ4BsZ8Pw2Rde0/qUFDVvekPGM27v3FuD+typo448HNnOghuyvS+U/5uyRL+u3mb/nZpNh1NPra0zzjjDef9t27epTJlDdcEFFzrvnd6wePHiTnsj2/viXPjjj04ZZ9Xs+OrVna+BbDtHGklDZDsS7CzqIQFkO5tQ5j79gtLS0tTkhmsyntGx+wB169hGx1askCHbPRqfk5BYP1yyUfWqFEtI7zd+2KCLavzv2nNXi2zavkvmGuVLapZ01TKjz8oNO/Tlsk0J6f3L6m3asHmnTj66sPO5v12xRZUPK6RNW9Oc9/7pr61av9l9XzNo3jzSzl3OR85oeO99k3Xc8e4lLXETJ67z1Afv17tvv5mQBbZu2aKt27cnpLdp2r5DF112+VVO+2/evFmtmt3ktOfezSZPnaHSpQ9xusY/33pd06dOdtozvdmWLVu1a2eaihQtmpD+Z9Wtr46duyWkN01zh8Dc2bP0wnNPJWyxN978Z8J6HwyNke1sUn7uxde0avVatW7eOOMZrdp315CBPTOd2T4YNgnHCAEIQAACEIDAwUtg46atB+/BOzhyZDsbiJ998bVef+s9DezdJXiGuSNJ514Dg2u2uUbWwc6jBQQgAAEIQAACEDgICCDb2YS8ZfMWdeo1UB3btFSN6lX16OyntWnLZnVo0/wg2BYcIgQgAAEIQAACEICACwLI9t9Q/O77RZo2c7bWrluvGsdX1R1tmsn1h7pchEgPCEAAAhCAAAQgAAE/CSDbfubCVBCAAAQgAAEIQAACMSCAbMcgRA4BAhCAAAQgAAEIQMBPAsh2yFyee+l1vfL629qRlqa6Z56uFk1vUN68eUN2oyy3CPx7wfcace8k5c+fL2PJpjf+ny6+oIHGjH9QZ/6jtuqdXSe3xmGdAySQsmGDJk2ZodVr1mnMsAEZ1du2bdOUR2brq/kLVKhQAV1/zRVq2KCeli5brnH3T9X4UYMPcCWenkgC5raq5vaqL736lqZOHKkS/73n+ux5z+nl197K9LN06KBeOubo8mrRrpvGDB2gQ8uUTuRo9D4AAr///oemzZyjpb/9rtKlSqjpjdfqtFNPDjpk9zuSn7MHADiXnppdjtu379Att3XK+EN+ZpzTTjk5+Evar7zxtn77/Q+1bdEkl6ZM7mWQ7RD5ffv9Qk15eJYG9u6q4sWKatS4B3TWmafpovMbhOhGSW4S+PizL/T5F1+ryx237bMsvwRyM4kDX8t8aLnfkNGqXetEfT3/20yy/eQzL+qXX39T53attHbtOt01/F7179VZaWk7ke0DR53wCvO9Zv5ewTMvvKopE0ZkyPa0GXNUoUJ5Xdyw/j4zINsJj+WAF+jRb4jOa1BXl154rr759geNm/SQpowfqZ+W/JLt70h+zh4w5oQXZJfj5i1bZL720P2j9pkB2T6wWJDtA+MVPHv6o3NVtkwZXX3FRcF/fzl/QXA2xsg3D78JvPXuB1ryy7IsX43v+UvAnAF/eNZc3dO/p0qWdPuXDv0m5O905g97rFufonXr18tI2Z5ntrv1HazbW92ialUqBQfw2NynVbhwYZ1eu1aGbJt3oYaNnqhTT66pKy9L3F/G9JegP5OZdxyOPeZo3dyyQybZnvDAw8GLqazeXdpTts1Z8WXLlqtHl3bKkyePPwd2EE1i3p1498NPdG69s5Qv3+53Ck1GI+7uo5deeyvb35H8nPVrk/xdjjvT0jRi3KQs3xncU7bNO42Dho7WHW1bqMZxVf06QE+mQbZDBDFk9ARddH591TntlKD6jz/+1OCR9+mB+4aH6EZJbhJ44eU3ZO6hvnXrNm1ITVWtk2uqZZMbVLhI4YzLSKpUqqhhYyeqV9c7dHT5o3JzPNbKAYEfFy3eR7abtOoYSFvxYrv/6qp5UfXDwsW68tILM2R7+sy5wV+FbdOStz1zgDlXnrK3bA8fe7+0a5eWr/iP8ubNE1wK1OjKSzJEzlxGsvCnJTLfx3f1vVOFCxfKlTlZZP8EFv+8NPheu3/sUA0dMzHb35Hpss3P2f0zjeIZe+a45OelGjNxisodeYR+W/6HjjmmnFrderPKHXl4xmUkLZpcr7uG3avLLjqfSzD/JjBkO8RuHjhkjK656tLgDJl5rFy1Rj0HDNUjD4wN0Y2S3CTw+Zfzg7c4r7zkQuXNl0fmTNpRRx6uFk1vDGT7pBNP0Jv/fE/Nbr5eJ53InxPPzWxyutbesm3OWDdt1VEzp9ynQoUKBm3e//BTffbl/ODabSMAV1x6gT7719fq061Dxlm4nK7H8xJHYG/ZNn+5t2ChQmrYoK5WrV6jYWMm6tabr9MZp58anDXt0KaZZs19OngXscwhXLuduGQOrPNfK1dr+NiJannLTTqpZnX93e9Ifs4eGNvcfPbeOZpruV9+4x1dcmEDHXXEEXrmxVf0xVffaPSQ/hmyvXXLVpU76ghd1+jy3Bw16dZCtkNENnTMBJ13ztk6+4zTg+ply3/X8DH3c2Y7BMuoS35YtFhTps/SfSPvDmT7+4WLtWvXLt3TvztntaMOJ5v1szuzPeneoSpdqmRQ9eqb72rxz78EZ7bvGjpWefLm1WmnnsQfpfIs071le+/xnnn+Fa1avTZ4N8LItvnwa5HChTVycF8VLLj7hRWPaAmY339jJ0xRsybXq3atk4Jh/u53JD9no80ru9WzynHv55p3Bpu17aoJowfr0399paeee0U7duyQObttrt3nkT0BZDvE7njksSeCD/Skv5IzH7p7+72P1L9n5xDdKMlNAr+v+I+KFi2iQ0qXCpb9/odFenjWE8H1v+kf2ipTprTeevsD3TOgB2dBczOcHK6VlWybD/G0uOVGnVC9WtDFXNNtcqx9ykkaMmpCcB3p0FHj1fiGRhmXf+VwOZ6WQAJ7y7bJtnKliipYoECw6rxnX1Jqaqpa3HJTINs9Ot+uf773kUoWL6pmTW5I4GS0zgmBP/9apWFjJqj9bc10fLUqGSV/9zuSn7M5IZu7z8kux3XrUpS6cWPGiScj1s3adtGD40fog48/15fzvwneBR4ycoLMXYMOK1smdwdPotWQ7RBhmV8I9095RIP6dFPRooWDD11dcG49XtmFYJnbJeaDVb/88qu6dmgTXBs6bvI0VTQf1Lq+UaZb/w0fM1H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       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
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       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
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       "    x.observe(notebookContainer, {childList: true});\n",
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       "\n",
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       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
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       "\n",
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       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['word_len_paragraphs2'] = data['text2_cleaned'].apply(lambda x: word_len(x))\n",
    "data['word_len_paragraphs2'].iplot(\n",
    "    kind='hist',\n",
    "    bins=40,\n",
    "    xTitle='paragraph_word_length',\n",
    "    linecolor='black',\n",
    "    yTitle='count',\n",
    "    title='Paragraph word Length Distribution')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count     4023.000000\n",
       "mean      2127.434750\n",
       "std       1317.443316\n",
       "min        484.000000\n",
       "25%       1352.500000\n",
       "50%       1839.000000\n",
       "75%       2643.000000\n",
       "max      24211.000000\n",
       "Name: word_len_paragraphs2, dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['word_len_paragraphs2'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Model "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Loading Pretrained model\n",
    "module_url = \"https://tfhub.dev/google/universal-sentence-encoder-large/5\" #@param [\"https://tfhub.dev/google/universal-sentence-encoder/4\", \"https://tfhub.dev/google/universal-sentence-encoder-large/5\"]\n",
    "model = hub.load(module_url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Method to the get the Embeddings\n",
    "def get_vectors(paragraphs):\n",
    "    return model(paragraphs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "para_v1 = data['text1_cleaned'].apply(lambda x: get_vectors(x)[0])\n",
    "para_v2 = data['text2_cleaned'].apply(lambda x: get_vectors(x)[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "#simlarity metric method \n",
    "def cosine_similarity(v1, v2):\n",
    "    mag1 = np.linalg.norm(v1)\n",
    "    mag2 = np.linalg.norm(v2)\n",
    "    if (not mag1) or (not mag2):\n",
    "        return 0\n",
    "    return np.dot(v1, v2) / (mag1 * mag2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Getting the similarity score for whole datasets\n",
    "def semantic_similarity():\n",
    "    scores = []\n",
    "    for i in range(len(para_v1)):\n",
    "        score = cosine_similarity(para_v1[i], para_v2[i])\n",
    "        if score<0:\n",
    "            score = 0.00\n",
    "        scores.append(round(score,2))\n",
    "    return scores\n",
    "simi_scores = semantic_similarity()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Saving the score in csv file\n",
    "submission = pd.DataFrame({'Unique_ID':data['Unique_ID'],'Similarity_Score':simi_scores})\n",
    "submission = submission[['Unique_ID','Similarity_Score']]\n",
    "submission.to_csv('similarity_score.csv',index=False)"
   ]
  }
 ],
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