notebooks/natural_language_preprocessing.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.3"
    },
    "colab": {
      "name": "natural_language_preprocessing.ipynb",
      "provenance": [],
      "include_colab_link": true
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/jonkrohn/DLTFpT/blob/master/notebooks/natural_language_preprocessing.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aqB8OkvED2is",
        "colab_type": "text"
      },
      "source": [
        "# Natural Language Preprocessing"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "82yPS6xUD2iw",
        "colab_type": "text"
      },
      "source": [
        "In this notebook, we clean up a dataset of natural language data (books from Project Gutenberg) and use word2vec to embed the language in word vectors.\n",
        "\n",
        "**N.B.:** Some, all or none of these preprocessing steps may be helpful to a given downstream application. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7R4Uwnb9D2i1",
        "colab_type": "text"
      },
      "source": [
        "#### Load dependencies"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5GkOejk8D2i4",
        "colab_type": "code",
        "colab": {},
        "outputId": "20a9329c-6dec-484a-bde1-e15d643735cb"
      },
      "source": [
        "import nltk\n",
        "from nltk import word_tokenize, sent_tokenize\n",
        "from nltk.corpus import stopwords\n",
        "from nltk.stem.porter import *\n",
        "nltk.download('gutenberg')\n",
        "nltk.download('punkt')\n",
        "nltk.download('stopwords')\n",
        "\n",
        "import string\n",
        "\n",
        "import gensim\n",
        "from gensim.models.phrases import Phraser, Phrases\n",
        "from gensim.models.word2vec import Word2Vec\n",
        "\n",
        "import spacy # for a lemmatization example\n",
        "\n",
        "from sklearn.manifold import TSNE\n",
        "\n",
        "import pandas as pd\n",
        "from bokeh.io import output_notebook, output_file\n",
        "from bokeh.plotting import show, figure"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[nltk_data] Downloading package gutenberg to /home/jovyan/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/gutenberg.zip.\n",
            "[nltk_data] Downloading package punkt to /home/jovyan/nltk_data...\n",
            "[nltk_data]   Unzipping tokenizers/punkt.zip.\n",
            "[nltk_data] Downloading package stopwords to /home/jovyan/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/stopwords.zip.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f2TQZhYMD2jC",
        "colab_type": "text"
      },
      "source": [
        "#### Load Data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XfBCgMEpD2jG",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from nltk.corpus import gutenberg"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CxebPPTwD2jM",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# a convenient method that handles newlines, as well as tokenizing sentences and words in one shot\n",
        "gberg_sents = gutenberg.sents()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LZcw28KBD2jT",
        "colab_type": "code",
        "colab": {},
        "outputId": "908e4a58-34ee-4eab-804f-12884beb5973"
      },
      "source": [
        "gberg_sents[0:6]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['[', 'Emma', 'by', 'Jane', 'Austen', '1816', ']'],\n",
              " ['VOLUME', 'I'],\n",
              " ['CHAPTER', 'I'],\n",
              " ['Emma',\n",
              "  'Woodhouse',\n",
              "  ',',\n",
              "  'handsome',\n",
              "  ',',\n",
              "  'clever',\n",
              "  ',',\n",
              "  'and',\n",
              "  'rich',\n",
              "  ',',\n",
              "  'with',\n",
              "  'a',\n",
              "  'comfortable',\n",
              "  'home',\n",
              "  'and',\n",
              "  'happy',\n",
              "  'disposition',\n",
              "  ',',\n",
              "  'seemed',\n",
              "  'to',\n",
              "  'unite',\n",
              "  'some',\n",
              "  'of',\n",
              "  'the',\n",
              "  'best',\n",
              "  'blessings',\n",
              "  'of',\n",
              "  'existence',\n",
              "  ';',\n",
              "  'and',\n",
              "  'had',\n",
              "  'lived',\n",
              "  'nearly',\n",
              "  'twenty',\n",
              "  '-',\n",
              "  'one',\n",
              "  'years',\n",
              "  'in',\n",
              "  'the',\n",
              "  'world',\n",
              "  'with',\n",
              "  'very',\n",
              "  'little',\n",
              "  'to',\n",
              "  'distress',\n",
              "  'or',\n",
              "  'vex',\n",
              "  'her',\n",
              "  '.'],\n",
              " ['She',\n",
              "  'was',\n",
              "  'the',\n",
              "  'youngest',\n",
              "  'of',\n",
              "  'the',\n",
              "  'two',\n",
              "  'daughters',\n",
              "  'of',\n",
              "  'a',\n",
              "  'most',\n",
              "  'affectionate',\n",
              "  ',',\n",
              "  'indulgent',\n",
              "  'father',\n",
              "  ';',\n",
              "  'and',\n",
              "  'had',\n",
              "  ',',\n",
              "  'in',\n",
              "  'consequence',\n",
              "  'of',\n",
              "  'her',\n",
              "  'sister',\n",
              "  \"'\",\n",
              "  's',\n",
              "  'marriage',\n",
              "  ',',\n",
              "  'been',\n",
              "  'mistress',\n",
              "  'of',\n",
              "  'his',\n",
              "  'house',\n",
              "  'from',\n",
              "  'a',\n",
              "  'very',\n",
              "  'early',\n",
              "  'period',\n",
              "  '.'],\n",
              " ['Her',\n",
              "  'mother',\n",
              "  'had',\n",
              "  'died',\n",
              "  'too',\n",
              "  'long',\n",
              "  'ago',\n",
              "  'for',\n",
              "  'her',\n",
              "  'to',\n",
              "  'have',\n",
              "  'more',\n",
              "  'than',\n",
              "  'an',\n",
              "  'indistinct',\n",
              "  'remembrance',\n",
              "  'of',\n",
              "  'her',\n",
              "  'caresses',\n",
              "  ';',\n",
              "  'and',\n",
              "  'her',\n",
              "  'place',\n",
              "  'had',\n",
              "  'been',\n",
              "  'supplied',\n",
              "  'by',\n",
              "  'an',\n",
              "  'excellent',\n",
              "  'woman',\n",
              "  'as',\n",
              "  'governess',\n",
              "  ',',\n",
              "  'who',\n",
              "  'had',\n",
              "  'fallen',\n",
              "  'little',\n",
              "  'short',\n",
              "  'of',\n",
              "  'a',\n",
              "  'mother',\n",
              "  'in',\n",
              "  'affection',\n",
              "  '.']]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mT292uNZD2ja",
        "colab_type": "code",
        "colab": {},
        "outputId": "f5274ffe-cac4-4254-d19d-9c83a46f1113"
      },
      "source": [
        "gberg_sents[4][14]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'father'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "S-rANNDAD2jf",
        "colab_type": "text"
      },
      "source": [
        "#### Iteratively preprocess a sentence"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Qbdicu2UD2jg",
        "colab_type": "text"
      },
      "source": [
        "##### a tokenized sentence: "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RPBHybu5D2ji",
        "colab_type": "code",
        "colab": {},
        "outputId": "093e569d-020d-46fe-9631-490f62757b44"
      },
      "source": [
        "gberg_sents[4]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['She',\n",
              " 'was',\n",
              " 'the',\n",
              " 'youngest',\n",
              " 'of',\n",
              " 'the',\n",
              " 'two',\n",
              " 'daughters',\n",
              " 'of',\n",
              " 'a',\n",
              " 'most',\n",
              " 'affectionate',\n",
              " ',',\n",
              " 'indulgent',\n",
              " 'father',\n",
              " ';',\n",
              " 'and',\n",
              " 'had',\n",
              " ',',\n",
              " 'in',\n",
              " 'consequence',\n",
              " 'of',\n",
              " 'her',\n",
              " 'sister',\n",
              " \"'\",\n",
              " 's',\n",
              " 'marriage',\n",
              " ',',\n",
              " 'been',\n",
              " 'mistress',\n",
              " 'of',\n",
              " 'his',\n",
              " 'house',\n",
              " 'from',\n",
              " 'a',\n",
              " 'very',\n",
              " 'early',\n",
              " 'period',\n",
              " '.']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3qKOjLVQD2js",
        "colab_type": "text"
      },
      "source": [
        "##### to lowercase: "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tG1RqFu4D2jv",
        "colab_type": "code",
        "colab": {},
        "outputId": "ac7b7f06-a5a2-4a3b-f65e-1bf631770315"
      },
      "source": [
        "[w.lower() for w in gberg_sents[4]]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['she',\n",
              " 'was',\n",
              " 'the',\n",
              " 'youngest',\n",
              " 'of',\n",
              " 'the',\n",
              " 'two',\n",
              " 'daughters',\n",
              " 'of',\n",
              " 'a',\n",
              " 'most',\n",
              " 'affectionate',\n",
              " ',',\n",
              " 'indulgent',\n",
              " 'father',\n",
              " ';',\n",
              " 'and',\n",
              " 'had',\n",
              " ',',\n",
              " 'in',\n",
              " 'consequence',\n",
              " 'of',\n",
              " 'her',\n",
              " 'sister',\n",
              " \"'\",\n",
              " 's',\n",
              " 'marriage',\n",
              " ',',\n",
              " 'been',\n",
              " 'mistress',\n",
              " 'of',\n",
              " 'his',\n",
              " 'house',\n",
              " 'from',\n",
              " 'a',\n",
              " 'very',\n",
              " 'early',\n",
              " 'period',\n",
              " '.']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wQuxiLlpD2jz",
        "colab_type": "text"
      },
      "source": [
        "##### remove stopwords and punctuation: "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dBeQyTx1D2j0",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "stpwrds = stopwords.words('english') + list(string.punctuation)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "78ZatfVvD2j7",
        "colab_type": "code",
        "colab": {},
        "outputId": "7dd9e88b-b33a-4d0f-cd58-5ff7a3857244"
      },
      "source": [
        "stpwrds"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['i',\n",
              " 'me',\n",
              " 'my',\n",
              " 'myself',\n",
              " 'we',\n",
              " 'our',\n",
              " 'ours',\n",
              " 'ourselves',\n",
              " 'you',\n",
              " \"you're\",\n",
              " \"you've\",\n",
              " \"you'll\",\n",
              " \"you'd\",\n",
              " 'your',\n",
              " 'yours',\n",
              " 'yourself',\n",
              " 'yourselves',\n",
              " 'he',\n",
              " 'him',\n",
              " 'his',\n",
              " 'himself',\n",
              " 'she',\n",
              " \"she's\",\n",
              " 'her',\n",
              " 'hers',\n",
              " 'herself',\n",
              " 'it',\n",
              " \"it's\",\n",
              " 'its',\n",
              " 'itself',\n",
              " 'they',\n",
              " 'them',\n",
              " 'their',\n",
              " 'theirs',\n",
              " 'themselves',\n",
              " 'what',\n",
              " 'which',\n",
              " 'who',\n",
              " 'whom',\n",
              " 'this',\n",
              " 'that',\n",
              " \"that'll\",\n",
              " 'these',\n",
              " 'those',\n",
              " 'am',\n",
              " 'is',\n",
              " 'are',\n",
              " 'was',\n",
              " 'were',\n",
              " 'be',\n",
              " 'been',\n",
              " 'being',\n",
              " 'have',\n",
              " 'has',\n",
              " 'had',\n",
              " 'having',\n",
              " 'do',\n",
              " 'does',\n",
              " 'did',\n",
              " 'doing',\n",
              " 'a',\n",
              " 'an',\n",
              " 'the',\n",
              " 'and',\n",
              " 'but',\n",
              " 'if',\n",
              " 'or',\n",
              " 'because',\n",
              " 'as',\n",
              " 'until',\n",
              " 'while',\n",
              " 'of',\n",
              " 'at',\n",
              " 'by',\n",
              " 'for',\n",
              " 'with',\n",
              " 'about',\n",
              " 'against',\n",
              " 'between',\n",
              " 'into',\n",
              " 'through',\n",
              " 'during',\n",
              " 'before',\n",
              " 'after',\n",
              " 'above',\n",
              " 'below',\n",
              " 'to',\n",
              " 'from',\n",
              " 'up',\n",
              " 'down',\n",
              " 'in',\n",
              " 'out',\n",
              " 'on',\n",
              " 'off',\n",
              " 'over',\n",
              " 'under',\n",
              " 'again',\n",
              " 'further',\n",
              " 'then',\n",
              " 'once',\n",
              " 'here',\n",
              " 'there',\n",
              " 'when',\n",
              " 'where',\n",
              " 'why',\n",
              " 'how',\n",
              " 'all',\n",
              " 'any',\n",
              " 'both',\n",
              " 'each',\n",
              " 'few',\n",
              " 'more',\n",
              " 'most',\n",
              " 'other',\n",
              " 'some',\n",
              " 'such',\n",
              " 'no',\n",
              " 'nor',\n",
              " 'not',\n",
              " 'only',\n",
              " 'own',\n",
              " 'same',\n",
              " 'so',\n",
              " 'than',\n",
              " 'too',\n",
              " 'very',\n",
              " 's',\n",
              " 't',\n",
              " 'can',\n",
              " 'will',\n",
              " 'just',\n",
              " 'don',\n",
              " \"don't\",\n",
              " 'should',\n",
              " \"should've\",\n",
              " 'now',\n",
              " 'd',\n",
              " 'll',\n",
              " 'm',\n",
              " 'o',\n",
              " 're',\n",
              " 've',\n",
              " 'y',\n",
              " 'ain',\n",
              " 'aren',\n",
              " \"aren't\",\n",
              " 'couldn',\n",
              " \"couldn't\",\n",
              " 'didn',\n",
              " \"didn't\",\n",
              " 'doesn',\n",
              " \"doesn't\",\n",
              " 'hadn',\n",
              " \"hadn't\",\n",
              " 'hasn',\n",
              " \"hasn't\",\n",
              " 'haven',\n",
              " \"haven't\",\n",
              " 'isn',\n",
              " \"isn't\",\n",
              " 'ma',\n",
              " 'mightn',\n",
              " \"mightn't\",\n",
              " 'mustn',\n",
              " \"mustn't\",\n",
              " 'needn',\n",
              " \"needn't\",\n",
              " 'shan',\n",
              " \"shan't\",\n",
              " 'shouldn',\n",
              " \"shouldn't\",\n",
              " 'wasn',\n",
              " \"wasn't\",\n",
              " 'weren',\n",
              " \"weren't\",\n",
              " 'won',\n",
              " \"won't\",\n",
              " 'wouldn',\n",
              " \"wouldn't\",\n",
              " '!',\n",
              " '\"',\n",
              " '#',\n",
              " '$',\n",
              " '%',\n",
              " '&',\n",
              " \"'\",\n",
              " '(',\n",
              " ')',\n",
              " '*',\n",
              " '+',\n",
              " ',',\n",
              " '-',\n",
              " '.',\n",
              " '/',\n",
              " ':',\n",
              " ';',\n",
              " '<',\n",
              " '=',\n",
              " '>',\n",
              " '?',\n",
              " '@',\n",
              " '[',\n",
              " '\\\\',\n",
              " ']',\n",
              " '^',\n",
              " '_',\n",
              " '`',\n",
              " '{',\n",
              " '|',\n",
              " '}',\n",
              " '~']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fBpZ70hfD2j_",
        "colab_type": "code",
        "colab": {},
        "outputId": "f9044316-9889-49dd-de2b-c0aa22304aa1"
      },
      "source": [
        "[w.lower() for w in gberg_sents[4] if w.lower() not in stpwrds]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['youngest',\n",
              " 'two',\n",
              " 'daughters',\n",
              " 'affectionate',\n",
              " 'indulgent',\n",
              " 'father',\n",
              " 'consequence',\n",
              " 'sister',\n",
              " 'marriage',\n",
              " 'mistress',\n",
              " 'house',\n",
              " 'early',\n",
              " 'period']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BxZGIFcsD2kE",
        "colab_type": "text"
      },
      "source": [
        "##### stem words: "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bHxPVno5D2kF",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "stemmer = PorterStemmer()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VlWaERY1D2kK",
        "colab_type": "code",
        "colab": {},
        "outputId": "8bd81b8b-de7b-4285-8379-ba505ff38430"
      },
      "source": [
        "[stemmer.stem(w.lower()) for w in gberg_sents[4] if w.lower() not in stpwrds]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['youngest',\n",
              " 'two',\n",
              " 'daughter',\n",
              " 'affection',\n",
              " 'indulg',\n",
              " 'father',\n",
              " 'consequ',\n",
              " 'sister',\n",
              " 'marriag',\n",
              " 'mistress',\n",
              " 'hous',\n",
              " 'earli',\n",
              " 'period']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hbhFdJA7D2kP",
        "colab_type": "text"
      },
      "source": [
        "##### a lemmatization example: "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ib1cBurCD2kQ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "nlp = spacy.load('en_core_web_sm') "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "M6Lm_W1uD2kV",
        "colab_type": "code",
        "colab": {},
        "outputId": "969012c5-fdb0-4df3-9e13-a0e65b1a06be"
      },
      "source": [
        "gutenberg.raw()[291:477]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "\"She was the youngest of the two daughters of a most affectionate,\\nindulgent father; and had, in consequence of her sister's marriage,\\nbeen mistress of his house from a very early period.\""
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-4s15u64D2ka",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "spacy_doc = nlp(gutenberg.raw()[291:477])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HLNqWRTFD2kk",
        "colab_type": "code",
        "colab": {},
        "outputId": "ce5e2bb4-a05d-446c-ec68-63cc7aae4940"
      },
      "source": [
        "[w.lemma_ for w in spacy_doc]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['-PRON-',\n",
              " 'be',\n",
              " 'the',\n",
              " 'young',\n",
              " 'of',\n",
              " 'the',\n",
              " 'two',\n",
              " 'daughter',\n",
              " 'of',\n",
              " 'a',\n",
              " 'most',\n",
              " 'affectionate',\n",
              " ',',\n",
              " '\\n',\n",
              " 'indulgent',\n",
              " 'father',\n",
              " ';',\n",
              " 'and',\n",
              " 'have',\n",
              " ',',\n",
              " 'in',\n",
              " 'consequence',\n",
              " 'of',\n",
              " '-PRON-',\n",
              " 'sister',\n",
              " \"'s\",\n",
              " 'marriage',\n",
              " ',',\n",
              " '\\n',\n",
              " 'be',\n",
              " 'mistress',\n",
              " 'of',\n",
              " '-PRON-',\n",
              " 'house',\n",
              " 'from',\n",
              " 'a',\n",
              " 'very',\n",
              " 'early',\n",
              " 'period',\n",
              " '.']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "63aajPNvD2kq",
        "colab_type": "text"
      },
      "source": [
        "##### handle bigram collocations:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RXsC0ZHRD2ks",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "phrases = Phrases(gberg_sents) # train detector"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yQ4OlbWSD2kv",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "bigram = Phraser(phrases) # create a more efficient Phraser object for transforming sentences"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TcxSpY9zD2ky",
        "colab_type": "code",
        "colab": {},
        "outputId": "d2a9c1dd-d912-4287-a988-4d779e2b5301"
      },
      "source": [
        "bigram.phrasegrams # output score of each bigram"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{(b'two', b'daughters'): 11.966813731181546,\n",
              " (b'her', b'sister'): 17.7960829227865,\n",
              " (b\"'\", b's'): 31.066242737744524,\n",
              " (b'very', b'early'): 11.01214147275924,\n",
              " (b'Her', b'mother'): 13.529425062715127,\n",
              " (b'long', b'ago'): 63.22343628984788,\n",
              " (b'more', b'than'): 29.023584433996874,\n",
              " (b'had', b'been'): 22.306024648925288,\n",
              " (b'an', b'excellent'): 39.063874851750626,\n",
              " (b'Miss', b'Taylor'): 453.75918026073305,\n",
              " (b'very', b'fond'): 24.134280468850747,\n",
              " (b'passed', b'away'): 12.35053642325912,\n",
              " (b'too', b'much'): 31.376002029426687,\n",
              " (b'did', b'not'): 11.728416217142811,\n",
              " (b'any', b'means'): 14.096964108090186,\n",
              " (b'wedding', b'-'): 17.4695197740113,\n",
              " (b'Her', b'father'): 13.129571562488772,\n",
              " (b'after', b'dinner'): 21.5285481168817,\n",
              " (b'self', b'-'): 47.79018053120332,\n",
              " (b'sixteen', b'years'): 107.0461671612265,\n",
              " (b'five', b'years'): 40.128755673408115,\n",
              " (b'years', b'old'): 54.735425236061104,\n",
              " (b'seven', b'years'): 52.59411150244507,\n",
              " (b'each', b'other'): 79.4168405322873,\n",
              " (b'a', b'mile'): 12.783091600264584,\n",
              " (b'must', b'be'): 10.229989650632808,\n",
              " (b'difference', b'between'): 220.5253730524468,\n",
              " (b'could', b'not'): 10.870983286982371,\n",
              " (b'having', b'been'): 11.538018331569376,\n",
              " (b'miles', b'off'): 34.7868137375225,\n",
              " (b'at', b'Hartfield'): 27.282227059708397,\n",
              " (b'her', b'husband'): 27.544395195049724,\n",
              " (b'in', b'spite'): 13.441914963088442,\n",
              " (b'Emma', b'could'): 11.335111257744053,\n",
              " (b'every', b'body'): 36.972582976825784,\n",
              " (b'no', b'means'): 32.57361823161739,\n",
              " (b'his', b'own'): 10.402387689390995,\n",
              " (b'obliged', b'to'): 10.43662879984823,\n",
              " (b'able', b'to'): 11.446828804673226,\n",
              " (b'very', b'much'): 16.21027499400206,\n",
              " (b'have', b'been'): 17.981191047801964,\n",
              " (b'great', b'deal'): 118.04013764577145,\n",
              " (b'\"', b'Poor'): 10.125586409383336,\n",
              " (b'agree', b'with'): 13.611743912451109,\n",
              " (b'-', b'humoured'): 33.94078127522195,\n",
              " (b'for', b'ever'): 12.4761138144463,\n",
              " (b'This', b'is'): 11.381028160111825,\n",
              " (b'three', b'times'): 35.42578086743132,\n",
              " (b'my', b'dear'): 24.47894249615343,\n",
              " (b'How', b'often'): 12.377968718725876,\n",
              " (b'My', b'dear'): 84.80698289930197,\n",
              " (b'so', b'far'): 10.161632478973766,\n",
              " (b'\"', b'No'): 15.063706270011586,\n",
              " (b'We', b'must'): 18.765646900386386,\n",
              " (b'last', b'night'): 23.592598950882213,\n",
              " (b'doubt', b'whether'): 22.924130736398396,\n",
              " (b'anywhere', b'else'): 16.100101533414907,\n",
              " (b'I', b'am'): 16.951297329049222,\n",
              " (b'very', b'glad'): 18.28434074650975,\n",
              " (b'am', b'sure'): 65.1446020744797,\n",
              " (b'very', b'pretty'): 20.068178868120455,\n",
              " (b'be', b'able'): 11.347612277348256,\n",
              " (b'immediately', b'afterwards'): 41.06053966483414,\n",
              " (b'sensible', b'man'): 14.541388094211703,\n",
              " (b'intimate', b'friend'): 21.898760623229464,\n",
              " (b'connected', b'with'): 18.375854281808998,\n",
              " (b'than', b'usual'): 28.951968704471486,\n",
              " (b'Brunswick', b'Square'): 10881.307917888562,\n",
              " (b'some', b'time'): 12.926553753557874,\n",
              " (b'poor', b'Isabella'): 41.30241100647832,\n",
              " (b'It', b'is'): 11.705870174225897,\n",
              " (b'am', b'afraid'): 25.627391867391864,\n",
              " (b'moonlight', b'night'): 14.745374344301382,\n",
              " (b'Look', b'at'): 13.630464729284446,\n",
              " (b'\"', b'Well'): 21.191330893669,\n",
              " (b'vast', b'deal'): 61.90400400400401,\n",
              " (b'an', b'hour'): 41.75757187695002,\n",
              " (b'pretty', b'well'): 17.716415202444615,\n",
              " (b'tolerably', b'well'): 18.357580705009276,\n",
              " (b'\"', b'Ah'): 17.279509006244886,\n",
              " (b'Ah', b'!'): 37.53295698121932,\n",
              " (b\"'\", b'Tis'): 23.239343942788935,\n",
              " (b'Miss', b'Woodhouse'): 294.52709701744294,\n",
              " (b'you', b'please'): 13.035980721875688,\n",
              " (b'any', b'rate'): 83.92034351736973,\n",
              " (b',\"', b'said'): 36.03254133384804,\n",
              " (b'My', b'dearest'): 26.665272507761294,\n",
              " (b'so', b'much'): 20.56443776042493,\n",
              " (b'much', b'less'): 19.104435569934505,\n",
              " (b'any', b'body'): 21.716438732250484,\n",
              " (b'has', b'been'): 29.2606767165493,\n",
              " (b'been', b'used'): 14.09410182779525,\n",
              " (b'Well', b',\"'): 12.493546273257474,\n",
              " (b'tell', b'you'): 11.612165547868624,\n",
              " (b'Every', b'body'): 72.2001079929367,\n",
              " (b'\"', b'Dear'): 20.048661090579007,\n",
              " (b'every', b'thing'): 27.277168506679985,\n",
              " (b'very', b'sorry'): 20.255731941654293,\n",
              " (b'turned', b'away'): 19.3446247292484,\n",
              " (b'divided', b'between'): 35.82806127178346,\n",
              " (b'knows', b'how'): 14.800957338598696,\n",
              " (b'how', b'much'): 15.417663894373641,\n",
              " (b'four', b'years'): 16.257604884476734,\n",
              " (b'years', b'ago'): 163.33147420261938,\n",
              " (b'any', b'thing'): 35.72804044966351,\n",
              " (b'need', b'not'): 13.478832663938945,\n",
              " (b'his', b'wife'): 10.870850757012368,\n",
              " (b'Ever', b'since'): 99.63818474758324,\n",
              " (b'leave', b'off'): 10.507247077643713,\n",
              " (b'you', b'mean'): 10.573995913362895,\n",
              " (b'young', b'lady'): 113.30511794581632,\n",
              " (b'depend', b'upon'): 66.33685452578166,\n",
              " (b'quarrel', b'with'): 10.691406127597961,\n",
              " (b'-', b'hearted'): 49.037248488452775,\n",
              " (b'their', b'own'): 10.164510720981893,\n",
              " (b'You', b'are'): 12.60019671587268,\n",
              " (b'more', b'likely'): 11.176882987148272,\n",
              " (b'have', b'done'): 12.664105519891397,\n",
              " (b',\"', b'rejoined'): 11.956633540853023,\n",
              " (b'any', b'longer'): 16.396201569570135,\n",
              " (b'very', b'well'): 13.844437162007257,\n",
              " (b'young', b'man'): 25.863812524396362,\n",
              " (b'dine', b'with'): 13.88397879070013,\n",
              " (b'much', b'better'): 10.763384154831522,\n",
              " (b'I', b'dare'): 13.676468274997303,\n",
              " (b'dare', b'say'): 128.21086697682205,\n",
              " (b'Depend', b'upon'): 92.29475412282665,\n",
              " (b'take', b'care'): 72.93974751004718,\n",
              " (b'CHAPTER', b'II'): 335.5512750949539,\n",
              " (b'entering', b'into'): 16.437457915441044,\n",
              " (b'never', b'seen'): 14.015206798866856,\n",
              " (b'refrain', b'from'): 12.438010669696954,\n",
              " (b'at', b'once'): 21.418172245725966,\n",
              " (b'three', b'years'): 37.3552600780725,\n",
              " (b'any', b'other'): 10.208401968552408,\n",
              " (b'twenty', b'years'): 85.29044131115464,\n",
              " (b'an', b'easy'): 10.427467282325322,\n",
              " (b'according', b'to'): 12.093327441482012,\n",
              " (b'had', b'begun'): 12.032976708302648,\n",
              " (b'passed', b'through'): 31.462199837199837,\n",
              " (b'its', b'being'): 16.06447342496047,\n",
              " (b'deal', b'better'): 19.992919953446272,\n",
              " (b'fine', b'young'): 10.403137320870965,\n",
              " (b'belonging', b'to'): 10.512393800210106,\n",
              " (b'Frank', b'Churchill'): 1750.6779772753712,\n",
              " (b'Miss', b'Bates'): 400.4260773639656,\n",
              " (b'a', b'few'): 11.554600796586188,\n",
              " (b'few', b'days'): 35.91529644067919,\n",
              " (b'I', b'suppose'): 12.338158409520457,\n",
              " (b'very', b'handsome'): 19.759437654764756,\n",
              " (b'an', b'irresistible'): 11.369078040261053,\n",
              " (b'good', b'sense'): 17.373370904818092,\n",
              " (b'had', b'already'): 11.990720435581183,\n",
              " (b'She', b'felt'): 13.338332744482605,\n",
              " (b'most', b'fortunate'): 11.471572464709046,\n",
              " (b'long', b'enough'): 15.189529976554649,\n",
              " (b'know', b'how'): 12.782869530582152,\n",
              " (b'dear', b'Emma'): 28.38977406756079,\n",
              " (b'at', b'Randalls'): 27.033755046414154,\n",
              " (b'few', b'weeks'): 134.46858012611438,\n",
              " (b'no', b'longer'): 44.45340841020726,\n",
              " (b'CHAPTER', b'III'): 354.1930126002291,\n",
              " (b'Donwell', b'Abbey'): 753.4827901309776,\n",
              " (b'card', b'-'): 15.66232807325151,\n",
              " (b'drawing', b'-'): 20.08471734497107,\n",
              " (b'-', b'room'): 10.86339885106585,\n",
              " (b'thrown', b'away'): 14.820643707910945,\n",
              " (b'After', b'these'): 11.091988134657838,\n",
              " (b'an', b'invitation'): 10.459551797040168,\n",
              " (b'old', b'lady'): 10.886003613395488,\n",
              " (b'those', b'who'): 15.975643084740117,\n",
              " (b'as', b'possible'): 11.70949877112537,\n",
              " (b'young', b'ladies'): 113.63480411788262,\n",
              " (b'-', b'fashioned'): 34.9390395480226,\n",
              " (b'Goddard', b\"'\"): 15.29483969345862,\n",
              " (b'found', b'herself'): 11.22605649143189,\n",
              " (b's', b'sake'): 28.092000957580005,\n",
              " (b'much', b'pleased'): 13.276184200965723,\n",
              " (b'be', b'allowed'): 10.133274789777253,\n",
              " (b'Miss', b'Smith'): 165.24316871017183,\n",
              " (b'Harriet', b'Smith'): 180.54871092346391,\n",
              " (b'several', b'years'): 17.577367349955093,\n",
              " (b'pretty', b'girl'): 40.4556337659619,\n",
              " (b'blue', b'eyes'): 35.59533676681832,\n",
              " (b'They', b'were'): 10.653371553453791,\n",
              " (b'due', b'time'): 21.04160963161683,\n",
              " (b'its', b'own'): 10.834370434674414,\n",
              " (b'better', b'than'): 42.51368036077655,\n",
              " (b'body', b'else'): 39.469837225343845,\n",
              " (b'apple', b'-'): 28.21999348109518,\n",
              " (b'You', b'need'): 14.652632145780382,\n",
              " (b'half', b'-'): 14.007817698976801,\n",
              " (b'much', b'more'): 10.555945043417811,\n",
              " (b'little', b'girl'): 35.05677573772557,\n",
              " (b'at', b'last'): 22.75660921756972,\n",
              " (b'CHAPTER', b'IV'): 335.5512750949539,\n",
              " (b'every', b'respect'): 12.224980231945178,\n",
              " (b'guided', b'by'): 23.954538020555372,\n",
              " (b'different', b'sort'): 14.490845895493244,\n",
              " (b'-', b'Mill'): 12.705105290190035,\n",
              " (b'good', b'deal'): 39.176849314155014,\n",
              " (b'very', b'happy'): 11.360756752157577,\n",
              " (b'drink', b'tea'): 32.50399453379586,\n",
              " (b'large', b'enough'): 10.829067985816224,\n",
              " (b'had', b'taken'): 10.962547054002629,\n",
              " (b'doing', b'something'): 10.716846747710356,\n",
              " (b'three', b'miles'): 16.651749532156657,\n",
              " (b'thing', b'else'): 12.21019907747794,\n",
              " (b'very', b'obliging'): 25.349278570257418,\n",
              " (b'on', b'purpose'): 10.833361556419508,\n",
              " (b'very', b'clever'): 21.69532850607617,\n",
              " (b'\"', b'You'): 11.717061811021022,\n",
              " (b'know', b'what'): 10.687860772182088,\n",
              " (b'Miss', b'Nash'): 337.68125042659204,\n",
              " (b'does', b'not'): 13.23025142257054,\n",
              " (b'\"', b'Oh'): 20.296685763864517,\n",
              " (b'Oh', b'yes'): 23.468003288849534,\n",
              " (b'very', b'entertaining'): 16.054543094496367,\n",
              " (b'soon', b'as'): 12.01164260504438,\n",
              " (b'Oh', b'!'): 31.12698837846826,\n",
              " (b'have', b'seen'): 13.438796505596505,\n",
              " (b'on', b'horseback'): 54.889031885858834,\n",
              " (b'their', b'families'): 35.26311487873489,\n",
              " (b'no', b'doubt'): 40.18959620751882,\n",
              " (b'very', b'respectable'): 10.88443599626872,\n",
              " (b'respectable', b'young'): 27.70496528037034,\n",
              " (b'very', b'odd'): 18.206182890665982,\n",
              " (b'perfectly', b'right'): 16.998927982407917,\n",
              " (b'years', b'hence'): 17.990952464071682,\n",
              " (b'young', b'woman'): 30.4001550358284,\n",
              " (b'very', b'desirable'): 14.595039176814876,\n",
              " (b'Dear', b'Miss'): 32.278354820188945,\n",
              " (b'thirty', b'years'): 72.53269372866845,\n",
              " (b'can', b'afford'): 26.391592873146273,\n",
              " (b'good', b'luck'): 51.57752734020704,\n",
              " (b'acquainted', b'with'): 27.73083464345721,\n",
              " (b'your', b'own'): 10.134692346685467,\n",
              " (b'\"', b'Yes'): 27.046036922192854,\n",
              " (b'next', b'day'): 33.66839067944251,\n",
              " (b'an', b'opportunity'): 39.49570340028189,\n",
              " (b'few', b'yards'): 127.20000822740548,\n",
              " (b'Robert', b'Martin'): 1963.7208109428432,\n",
              " (b'few', b'minutes'): 316.36383789006993,\n",
              " (b'Only', b'think'): 11.416616668358916,\n",
              " (b'been', b'able'): 15.91768079235648,\n",
              " (b'-', b'morrow'): 31.191253298926746,\n",
              " (b'should', b'happen'): 20.434212265397832,\n",
              " (b'Do', b'you'): 17.542972188763283,\n",
              " (b'compared', b'with'): 15.313211901507499,\n",
              " (b'\"', b'Certainly'): 25.246462114062453,\n",
              " (b'You', b'must'): 12.864839977038008,\n",
              " (b'an', b'old'): 10.467761806300013,\n",
              " (b'old', b'man'): 11.807109991026596,\n",
              " (b'more', b'valuable'): 17.665941085058734,\n",
              " (b',\"', b'replied'): 68.6325679964557,\n",
              " (b'very', b'bad'): 15.601593602802112,\n",
              " (b'deal', b'too'): 12.720000822740548,\n",
              " (b'no', b'more'): 17.350760547573774,\n",
              " (b'very', b'agreeable'): 21.406057459328487,\n",
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              " (b'same', b'time'): 18.367425129939775,\n",
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              " (b'walking', b'along'): 19.12445108751675,\n",
              " (b'leaning', b'against'): 23.700128657852233,\n",
              " (b'trodden', b'under'): 72.24544392523364,\n",
              " (b'under', b'foot'): 22.22936736161035,\n",
              " (b'Louisa', b'Musgrove'): 189.52528348145879,\n",
              " (b'provoke', b'me'): 16.48946779010239,\n",
              " (b'Very', b'good'): 10.325200491977538,\n",
              " (b'good', b'humoured'): 26.15717457967643,\n",
              " (b'Captain', b'Harville'): 475.42275075075077,\n",
              " (b'at', b'Lyme'): 20.293117264867515,\n",
              " (b'earnest', b'desire'): 32.79008483563097,\n",
              " (b'Captain', b'Benwick'): 811.8267953667954,\n",
              " (b'an', b'officer'): 10.895366455250176,\n",
              " (b'place', b'where'): 29.88335727268697,\n",
              " (b'-', b'coat'): 13.073963185711682,\n",
              " (b'an', b'introduction'): 10.895366455250176,\n",
              " (b'preceding', b'evening'): 48.9411997467553,\n",
              " (b'an', b'agony'): 15.202836914302573,\n",
              " (b'catching', b'hold'): 135.5294762217839,\n",
              " (b'raised', b'up'): 20.917452604163728,\n",
              " (b'could', b'scarcely'): 17.384072637319388,\n",
              " (b'passed', b'along'): 16.544168004280362,\n",
              " (b'leaning', b'over'): 33.66056062742769,\n",
              " (b't', b'talk'): 11.57051713815297,\n",
              " (b'Camden', b'Place'): 11505.506976744186,\n",
              " (b'straight', b'forward'): 11.997691337666117,\n",
              " (b'same', b'hour'): 12.921683411398027,\n",
              " (b'-', b'glasses'): 16.35444404375526,\n",
              " (b'poring', b'over'): 41.31068804275217,\n",
              " (b'thirty', b'feet'): 12.120752621435336,\n",
              " (b'Colonel', b'Wallis'): 967.3744677153037,\n",
              " (b'Mrs', b'Wallis'): 54.17854483332603,\n",
              " (b'-', b'haired'): 60.68359500446031,\n",
              " (b'at', b'length'): 17.88998495718584,\n",
              " (b'carried', b'away'): 68.93771731236751,\n",
              " (b'greater', b'than'): 48.182171075546755,\n",
              " (b'Miss', b'Carteret'): 320.09368530020697,\n",
              " (b'contact', b'with'): 11.025512569085398,\n",
              " (b'Lady', b'Dalrymple'): 1027.2774086378738,\n",
              " (b'Laura', b'Place'): 777.3991200502828,\n",
              " (b'be', b'established'): 13.256107901092253,\n",
              " (b'Mrs', b'Smith'): 111.99977591965032,\n",
              " (b'Westgate', b'Buildings'): 8589.180555555555,\n",
              " (b'buried', b'him'): 10.212015743068294,\n",
              " (b'at', b'liberty'): 14.03136075073399,\n",
              " (b'human', b'nature'): 43.51094068810244,\n",
              " (b'five', b'thousand'): 37.910597744077265,\n",
              " (b'whose', b'names'): 20.29106718070708,\n",
              " (b'her', b'ladyship'): 34.12236790377201,\n",
              " (b'-', b'maker'): 26.620220608017217,\n",
              " (b'old', b'gentleman'): 27.054312400201237,\n",
              " (b'almost', b'entirely'): 36.10558657179347,\n",
              " (b'lower', b'part'): 15.927465187754331,\n",
              " (b'staring', b'at'): 25.04597894006017,\n",
              " (b'an', b'oath'): 44.98731955716202,\n",
              " (b'wiser', b'than'): 29.373088249263795,\n",
              " (b'prejudice', b'against'): 39.177763699714916,\n",
              " (b'both', b'sides'): 99.67073029216844,\n",
              " (b'my', b'soul'): 16.443509373671976,\n",
              " (b'rejoice', b'over'): 10.116903194143386,\n",
              " (b'same', b'instant'): 25.162444780283654,\n",
              " (b'every', b'one'): 14.671392435905247,\n",
              " (b'their', b'seats'): 12.658554059033037,\n",
              " (b'their', b'mouths'): 26.497142818484406,\n",
              " (b'short', b'silence'): 19.427041120849434,\n",
              " (b'-', b'blooded'): 17.4695197740113,\n",
              " (b'general', b'character'): 10.833526031812768,\n",
              " (b'fifty', b'pounds'): 35.380799816923165,\n",
              " (b'be', b'saved'): 13.4097233300756,\n",
              " (b'threw', b'himself'): 10.02991247371238,\n",
              " (b'some', b'moments'): 21.006148097826088,\n",
              " (b'exclaimed', b'Mrs'): 12.149128235351897,\n",
              " (b'compassion', b'on'): 13.01248600742343,\n",
              " (b'an', b'explanation'): 16.343049682875264,\n",
              " (b'our', b'hearts'): 14.94420279348509,\n",
              " (b'minutes', b'afterwards'): 22.216989096657148,\n",
              " (b'make', b'haste'): 50.3846341860844,\n",
              " (b\"'\", b'n'): 22.533063472289214,\n",
              " (b'n', b\"'\"): 16.09504533734944,\n",
              " (b'rising', b'sun'): 13.06573846170098,\n",
              " (b'-', b'faced'): 42.60858481466171,\n",
              " (b'an', b'atonement'): 89.61132859823739,\n",
              " (b'atonement', b'for'): 24.315805643301744,\n",
              " (b'\"', b'Look'): 10.09252327008739,\n",
              " (b'Look', b'here'): 26.311681865240885,\n",
              " ...}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i5Pxtth-D2k1",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "tokenized_sentence = \"Jon lives in New York City\".split()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "d6BqNZelD2k6",
        "colab_type": "code",
        "colab": {},
        "outputId": "00974221-3855-4ced-bbc9-73ddace3a363"
      },
      "source": [
        "tokenized_sentence"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Jon', 'lives', 'in', 'New', 'York', 'City']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JjwNwLNND2k9",
        "colab_type": "code",
        "colab": {},
        "outputId": "765b6804-64a7-4945-c909-5384896d28e5"
      },
      "source": [
        "bigram[tokenized_sentence]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Jon', 'lives', 'in', 'New_York', 'City']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lPqMIz_7D2k_",
        "colab_type": "text"
      },
      "source": [
        "#### Preprocess the corpus"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bMdwz_azD2lA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# as in Maas et al. (2001):\n",
        "# - leave in stop words (\"indicative of sentiment\")\n",
        "# - no stemming (\"model learns similar representations of words of the same stem when data suggests it\")\n",
        "lower_sents = []\n",
        "for s in gberg_sents:\n",
        "    lower_sents.append([w.lower() for w in s if w.lower() not in list(string.punctuation)])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6CxI_qlgD2lE",
        "colab_type": "code",
        "colab": {},
        "outputId": "e5d137f7-f6c1-4d13-d1aa-08b889f5f736"
      },
      "source": [
        "lower_sents[0:5]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['emma', 'by', 'jane', 'austen', '1816'],\n",
              " ['volume', 'i'],\n",
              " ['chapter', 'i'],\n",
              " ['emma',\n",
              "  'woodhouse',\n",
              "  'handsome',\n",
              "  'clever',\n",
              "  'and',\n",
              "  'rich',\n",
              "  'with',\n",
              "  'a',\n",
              "  'comfortable',\n",
              "  'home',\n",
              "  'and',\n",
              "  'happy',\n",
              "  'disposition',\n",
              "  'seemed',\n",
              "  'to',\n",
              "  'unite',\n",
              "  'some',\n",
              "  'of',\n",
              "  'the',\n",
              "  'best',\n",
              "  'blessings',\n",
              "  'of',\n",
              "  'existence',\n",
              "  'and',\n",
              "  'had',\n",
              "  'lived',\n",
              "  'nearly',\n",
              "  'twenty',\n",
              "  'one',\n",
              "  'years',\n",
              "  'in',\n",
              "  'the',\n",
              "  'world',\n",
              "  'with',\n",
              "  'very',\n",
              "  'little',\n",
              "  'to',\n",
              "  'distress',\n",
              "  'or',\n",
              "  'vex',\n",
              "  'her'],\n",
              " ['she',\n",
              "  'was',\n",
              "  'the',\n",
              "  'youngest',\n",
              "  'of',\n",
              "  'the',\n",
              "  'two',\n",
              "  'daughters',\n",
              "  'of',\n",
              "  'a',\n",
              "  'most',\n",
              "  'affectionate',\n",
              "  'indulgent',\n",
              "  'father',\n",
              "  'and',\n",
              "  'had',\n",
              "  'in',\n",
              "  'consequence',\n",
              "  'of',\n",
              "  'her',\n",
              "  'sister',\n",
              "  's',\n",
              "  'marriage',\n",
              "  'been',\n",
              "  'mistress',\n",
              "  'of',\n",
              "  'his',\n",
              "  'house',\n",
              "  'from',\n",
              "  'a',\n",
              "  'very',\n",
              "  'early',\n",
              "  'period']]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3A3I79xdD2lH",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "lower_bigram = Phraser(Phrases(lower_sents))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cTrKrOe0D2lL",
        "colab_type": "code",
        "colab": {},
        "outputId": "9c168974-a2f1-4859-ea1a-4f21737609f0"
      },
      "source": [
        "lower_bigram.phrasegrams # miss taylor, mr woodhouse, mr weston"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{(b'two', b'daughters'): 11.080802900992637,\n",
              " (b'her', b'sister'): 16.93971298099339,\n",
              " (b'very', b'early'): 10.516998773665177,\n",
              " (b'her', b'mother'): 10.70812618607742,\n",
              " (b'long', b'ago'): 59.226442015336005,\n",
              " (b'more', b'than'): 28.529926612065935,\n",
              " (b'had', b'been'): 21.583193129694834,\n",
              " (b'an', b'excellent'): 37.41859680854167,\n",
              " (b'sixteen', b'years'): 131.42913000977515,\n",
              " (b'miss', b'taylor'): 420.4340982546865,\n",
              " (b'mr', b'woodhouse'): 104.19907841850323,\n",
              " (b'very', b'fond'): 24.185726346489627,\n",
              " (b'passed', b'away'): 11.751473221742694,\n",
              " (b'too', b'much'): 30.36309017383541,\n",
              " (b'did', b'not'): 10.846196223896685,\n",
              " (b'any', b'means'): 14.294148100212627,\n",
              " (b'after', b'dinner'): 18.60737125272944,\n",
              " (b'mr', b'weston'): 91.63290824201266,\n",
              " (b'five', b'years'): 37.66428596665674,\n",
              " (b'years', b'old'): 48.599094446190286,\n",
              " (b'seven', b'years'): 50.3345604292756,\n",
              " (b'each', b'other'): 71.31277029783762,\n",
              " (b'well', b'informed'): 14.185028016786625,\n",
              " (b'a', b'mile'): 11.700110753652233,\n",
              " (b'difference', b'between'): 207.86784241868986,\n",
              " (b'mrs', b'weston'): 180.6778969011602,\n",
              " (b'could', b'not'): 10.213333164207079,\n",
              " (b'having', b'been'): 10.723750443105281,\n",
              " (b'sixteen', b'miles'): 105.040625,\n",
              " (b'miles', b'off'): 32.99182066941624,\n",
              " (b'at', b'hartfield'): 25.555992478744276,\n",
              " (b'her', b'husband'): 26.67842743680748,\n",
              " (b'in', b'spite'): 13.346436370855669,\n",
              " (b'emma', b'could'): 10.88608805283633,\n",
              " (b'every', b'body'): 39.26110856993498,\n",
              " (b'no', b'means'): 26.766046928639682,\n",
              " (b'able', b'to'): 10.854471217684639,\n",
              " (b'very', b'much'): 15.43191856451234,\n",
              " (b'have', b'been'): 17.20622462716941,\n",
              " (b'great', b'deal'): 110.16914388000741,\n",
              " (b'agree', b'with'): 13.12648342622773,\n",
              " (b'good', b'humoured'): 149.07455772926625,\n",
              " (b'for', b'ever'): 10.477844500702485,\n",
              " (b'three', b'times'): 38.14441525690869,\n",
              " (b'my', b'dear'): 26.343257103019322,\n",
              " (b'last', b'night'): 23.230537949447992,\n",
              " (b'doubt', b'whether'): 19.564378663784144,\n",
              " (b'anywhere', b'else'): 15.30646630236794,\n",
              " (b'i', b'am'): 16.330282814272387,\n",
              " (b'very', b'glad'): 16.952537612290158,\n",
              " (b'am', b'sure'): 60.9206736247954,\n",
              " (b'very', b'pretty'): 18.02785881936292,\n",
              " (b'be', b'able'): 10.915272046078586,\n",
              " (b'immediately', b'afterwards'): 37.530798337572115,\n",
              " (b'mr', b'knightley'): 179.5658713081734,\n",
              " (b'sensible', b'man'): 13.469145146927872,\n",
              " (b'intimate', b'friend'): 20.19472630173565,\n",
              " (b'connected', b'with'): 16.865113476644794,\n",
              " (b'elder', b'brother'): 14.417929653989134,\n",
              " (b'than', b'usual'): 27.96484669654346,\n",
              " (b'brunswick', b'square'): 2374.2341399607585,\n",
              " (b'some', b'time'): 11.678170286892607,\n",
              " (b'poor', b'isabella'): 43.036881601877866,\n",
              " (b'am', b'afraid'): 24.40430621044607,\n",
              " (b'moonlight', b'night'): 13.233464566929133,\n",
              " (b'look', b'at'): 10.167669372199262,\n",
              " (b'vast', b'deal'): 58.66522301228184,\n",
              " (b'an', b'hour'): 40.46461919025373,\n",
              " (b'pretty', b'well'): 13.991375757171793,\n",
              " (b'tolerably', b'well'): 13.779741502021295,\n",
              " (b'miss', b'woodhouse'): 272.89637286224394,\n",
              " (b'you', b'please'): 10.458014920259812,\n",
              " (b'any', b'rate'): 81.39444780766237,\n",
              " (b'very', b'true'): 13.110718065819091,\n",
              " (b',\"', b'said'): 35.208800203215695,\n",
              " (b'my', b'dearest'): 15.989439634668441,\n",
              " (b'so', b'much'): 16.689081989684137,\n",
              " (b'much', b'less'): 18.956871177506912,\n",
              " (b'any', b'body'): 20.81402827327549,\n",
              " (b'has', b'been'): 28.01515665997839,\n",
              " (b'been', b'used'): 13.60480451219398,\n",
              " (b'dear', b'emma'): 26.724453867413775,\n",
              " (b'every', b'thing'): 26.813583851480026,\n",
              " (b'very', b'sorry'): 20.451631026452166,\n",
              " (b'turned', b'away'): 18.47583754119931,\n",
              " (b'divided', b'between'): 32.86799217731421,\n",
              " (b'how', b'much'): 13.223145529540588,\n",
              " (b'four', b'years'): 17.08789651812486,\n",
              " (b'years', b'ago'): 157.92138920022722,\n",
              " (b'any', b'thing'): 34.60353767883287,\n",
              " (b'oh', b'dear'): 13.071010293556995,\n",
              " (b'need', b'not'): 12.811033130226706,\n",
              " (b'ever', b'since'): 42.54639154544724,\n",
              " (b'leave', b'off'): 10.456551581109641,\n",
              " (b'match', b'making'): 19.514707779641338,\n",
              " (b'young', b'lady'): 46.68694722651542,\n",
              " (b'depend', b'upon'): 79.94054343302217,\n",
              " (b'more', b'likely'): 10.63926988816206,\n",
              " (b'have', b'done'): 12.079550287766299,\n",
              " (b',\"', b'rejoined'): 10.722990216928967,\n",
              " (b'mr', b'elton'): 139.40875576036868,\n",
              " (b'any', b'longer'): 15.647026370007673,\n",
              " (b'very', b'well'): 12.391112026636758,\n",
              " (b'young', b'man'): 24.28633425456424,\n",
              " (b'dine', b'with'): 13.166381552143315,\n",
              " (b'much', b'better'): 10.49785543468346,\n",
              " (b'i', b'dare'): 13.033485583230483,\n",
              " (b'dare', b'say'): 119.19759719744675,\n",
              " (b'take', b'care'): 74.57127010537992,\n",
              " (b'chapter', b'ii'): 279.33240997229916,\n",
              " (b'entering', b'into'): 14.764128843338215,\n",
              " (b'never', b'seen'): 13.026399306383945,\n",
              " (b'mrs', b'churchill'): 72.70198534025822,\n",
              " (b'refrain', b'from'): 13.332613486117234,\n",
              " (b'at', b'once'): 18.772289267502124,\n",
              " (b'three', b'years'): 36.12160535692111,\n",
              " (b'mother', b's'): 10.43349082727472,\n",
              " (b'twenty', b'years'): 82.70010934937123,\n",
              " (b'according', b'to'): 11.428224398751397,\n",
              " (b'had', b'begun'): 11.498896738107863,\n",
              " (b'passed', b'through'): 29.981417521047756,\n",
              " (b'its', b'being'): 15.035551583602627,\n",
              " (b'deal', b'better'): 18.324491856239064,\n",
              " (b'belonging', b'to'): 10.007375856554956,\n",
              " (b'mr', b'frank'): 51.13385894796941,\n",
              " (b'frank', b'churchill'): 1615.1350106048417,\n",
              " (b'mrs', b'perry'): 23.552718142359424,\n",
              " (b'miss', b'bates'): 368.52784388923357,\n",
              " (b'a', b'few'): 11.993654742645493,\n",
              " (b'few', b'days'): 34.43889574044208,\n",
              " (b'i', b'suppose'): 11.320989637575268,\n",
              " (b'very', b'handsome'): 18.293203927526704,\n",
              " (b'an', b'irresistible'): 10.743649616890554,\n",
              " (b'good', b'sense'): 15.484518577039912,\n",
              " (b'had', b'already'): 11.161348479021472,\n",
              " (b'long', b'enough'): 14.424561747959498,\n",
              " (b'at', b'randalls'): 24.914802703291915,\n",
              " (b'few', b'weeks'): 130.17082616179002,\n",
              " (b'no', b'longer'): 37.27164862774777,\n",
              " (b'mr', b'perry'): 95.9153455928979,\n",
              " (b'chapter', b'iii'): 294.85087719298247,\n",
              " (b'donwell', b'abbey'): 737.1720986902222,\n",
              " (b'card', b'table'): 52.05489116407124,\n",
              " (b'drawing', b'room'): 219.77986922924512,\n",
              " (b'thrown', b'away'): 13.991597804637394,\n",
              " (b'mrs', b'goddard'): 292.6791161249692,\n",
              " (b'an', b'invitation'): 13.178876863385744,\n",
              " (b'mrs', b'bates'): 54.6665437867962,\n",
              " (b'those', b'who'): 14.383248820933867,\n",
              " (b'as', b'possible'): 10.515284953239568,\n",
              " (b'young', b'ladies'): 111.39207280187263,\n",
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              " (b'place', b'where'): 24.673747113061946,\n",
              " (b'breakfast', b'table'): 46.889138605804625,\n",
              " (b'great', b'coat'): 13.653183495244221,\n",
              " (b'mean', b'while'): 21.601999982862186,\n",
              " (b'preceding', b'evening'): 46.916408188585606,\n",
              " (b'dark', b'blue'): 10.384888690547708,\n",
              " (b'an', b'agony'): 14.366508208632718,\n",
              " (b'catching', b'hold'): 119.13870510396976,\n",
              " (b'raised', b'up'): 19.639030027092765,\n",
              " (b'every', b'one'): 13.121859438999877,\n",
              " (b'could', b'scarcely'): 16.706049522741466,\n",
              " (b'passed', b'along'): 15.774990874485061,\n",
              " (b'leaning', b'over'): 32.99075765424357,\n",
              " (b't', b'talk'): 10.789205796038152,\n",
              " (b'camden', b'place'): 304.8030226700252,\n",
              " (b'straight', b'forward'): 11.08933284457478,\n",
              " (b'same', b'hour'): 12.501907897455677,\n",
              " (b'looking', b'glasses'): 21.695137693631672,\n",
              " (b'poring', b'over'): 39.405627198124265,\n",
              " (b'thirty', b'feet'): 11.482173582995951,\n",
              " (b'colonel', b'wallis'): 919.8152027027028,\n",
              " (b'at', b'length'): 22.85664635341284,\n",
              " (b'carried', b'away'): 65.89981996296747,\n",
              " (b'greater', b'than'): 46.92382276332348,\n",
              " (b'miss', b'carteret'): 296.58529411764704,\n",
              " (b'lady', b'dalrymple'): 567.8937488267317,\n",
              " (b'laura', b'place'): 20.594798829055758,\n",
              " (b'be', b'established'): 12.514923983865962,\n",
              " (b'mrs', b'smith'): 133.20515177750607,\n",
              " (b'westgate', b'buildings'): 3878.4230769230767,\n",
              " (b'at', b'liberty'): 11.17812683597344,\n",
              " (b'five', b'thousand'): 35.86163157834745,\n",
              " (b'whose', b'names'): 17.589220303506018,\n",
              " (b'her', b'ladyship'): 32.97674284395198,\n",
              " (b'ladyship', b's'): 11.322082996496901,\n",
              " (b'old', b'gentleman'): 24.07985483618954,\n",
              " (b'their', b'minds'): 15.50176787086856,\n",
              " (b'almost', b'entirely'): 33.520817751184246,\n",
              " (b'lower', b'part'): 14.360893094499653,\n",
              " (b'staring', b'at'): 23.08283191628515,\n",
              " (b'ay', b'ay'): 102.04655085174566,\n",
              " (b'an', b'oath'): 43.30687629076502,\n",
              " (b'wiser', b'than'): 28.37160810303864,\n",
              " (b'prejudice', b'against'): 37.30402614217892,\n",
              " (b'both', b'sides'): 93.4670833729442,\n",
              " (b'my', b'soul'): 16.066751210923982,\n",
              " (b'same', b'instant'): 24.46954622664402,\n",
              " (b'their', b'seats'): 12.91813989239047,\n",
              " (b'their', b'mouths'): 24.960473690381583,\n",
              " (b'short', b'silence'): 17.742932551319647,\n",
              " (b'fifty', b'pounds'): 33.29484921857803,\n",
              " (b'be', b'saved'): 12.820166032252938,\n",
              " (b'hard', b'hearted'): 30.946447752033144,\n",
              " (b'some', b'moments'): 21.24516597218971,\n",
              " (b'exclaimed', b'mrs'): 11.847730944338375,\n",
              " (b'compassion', b'on'): 12.135435888384333,\n",
              " (b'an', b'explanation'): 15.443996324280173,\n",
              " (b'our', b'hearts'): 17.06646733400796,\n",
              " (b'minutes', b'afterwards'): 21.366081045290017,\n",
              " (b'make', b'haste'): 69.71776454772422,\n",
              " (b'n', b't'): 110.43069461827284,\n",
              " (b'rising', b'sun'): 11.4529037631559,\n",
              " (b'an', b'atonement'): 83.74078006943026,\n",
              " (b'atonement', b'for'): 20.65632201567061,\n",
              " (b'next', b'instant'): 11.76765535349606,\n",
              " (b'she', b'doted'): 14.810751266798853,\n",
              " (b'god', b'forbid'): 46.144377261328756,\n",
              " (b'i', b'll'): 11.17502796097598,\n",
              " (b'll', b'answer'): 13.013882743362831,\n",
              " (b'market', b'place'): 39.58480813896431,\n",
              " (b'poured', b'out'): 41.589583712234585,\n",
              " (b'at', b'norland'): 17.421005219837852,\n",
              " (b'many', b'generations'): 16.534145874894104,\n",
              " (b'seven', b'thousand'): 31.259095392419333,\n",
              " (b'mr', b'dashwood'): 10.190698520494786,\n",
              " (b'john', b'dashwood'): 157.761220299208,\n",
              " (b'four', b'thousand'): 51.45229768371371,\n",
              " (b'three', b'thousand'): 26.103242228789615,\n",
              " (b'mrs', b'dashwood'): 149.97722901761674,\n",
              " (b'miss', b'dashwoods'): 254.21596638655464,\n",
              " (b'edward', b'ferrars'): 135.88635597978663,\n",
              " (b'younger', b'brother'): 31.67883135242683,\n",
              " (b'few', b'miles'): 14.237434111445785,\n",
              " (b'replied', b'elinor'): 38.56234426453405,\n",
              " (b'mrs', b'ferrars'): 170.42505281471358,\n",
              " (b'barton', b'park'): 511.6875679594056,\n",
              " (b'from', b'whence'): 15.950059078483806,\n",
              " (b'barton', b'cottage'): 104.5866897147796,\n",
              " (b'sir', b'john'): 127.78658844235845,\n",
              " (b'at', b'barton'): 22.230656741205607,\n",
              " (b'lady', b'middleton'): 500.3819045606168,\n",
              " (b'be', b'fulfilled'): 13.72604565972396,\n",
              " (b'their', b'arrival'): 11.398358728579826,\n",
              " (b'present', b'case'): 20.32458969190901,\n",
              " (b'mrs', b'jennings'): 317.3131418135843,\n",
              " (b'colonel', b'brandon'): 1667.519921875,\n",
              " (b'now', b'therefore'): 11.124642048311067,\n",
              " (b'ill', b'natured'): 147.80960912052115,\n",
              " (b'blue', b'sky'): 51.83932141429143,\n",
              " (b'rose', b'up'): 34.00644003284101,\n",
              " (b'at', b'allenham'): 10.991824722040551,\n",
              " (b'miss', b'dashwood'): 131.14315726290516,\n",
              " (b'cried', b'marianne'): 25.0791653802614,\n",
              " (b'mr', b'willoughby'): 36.686514673781225,\n",
              " (b'miss', b'marianne'): 20.916503563450693,\n",
              " (b'aye', b'aye'): 468.90135,\n",
              " (b'have', b'erred'): 17.591061335566256,\n",
              " (b'pronounce', b'him'): 17.59389669411188,\n",
              " (b'by', b'reason'): 10.359210631680098,\n",
              " (b'an', b'everlasting'): 33.79199195739935,\n",
              " (b'seven', b'days'): 82.77954431228012,\n",
              " (b'by', b'accident'): 16.659403636043233,\n",
              " (b'went', b'out'): 11.679230644951586,\n",
              " (b'won', b't'): 217.3954908123791,\n",
              " (b'miss', b'williams'): 72.63313325330132,\n",
              " (b'laughed', b'heartily'): 104.9677307425399,\n",
              " (b'considerable', b'time'): 11.403428752365373,\n",
              " (b'two', b'sides'): 12.986418686513664,\n",
              " (b'at', b'delaford'): 13.19018966644866,\n",
              " (b'two', b'thousand'): 23.96682269843838,\n",
              " (b'seven', b'hundred'): 63.02087384034221,\n",
              " (b'can', b'possibly'): 14.130761757067319,\n",
              " (b'burst', b'into'): 13.516455983337801,\n",
              " (b'turning', b'round'): 21.605116375400833,\n",
              " (b'mr', b'ferrars'): 41.483981977275704,\n",
              " (b'combe', b'magna'): 18907.3125,\n",
              " (b'mrs', b'palmer'): 135.40263936386714,\n",
              " (b'mr', b'palmer'): 100.05413092849427,\n",
              " (b'without', b'ceasing'): 82.0051504472757,\n",
              " (b'stared', b'at'): 13.489966704322493,\n",
              " (b't', b'think'): 10.296676867200363,\n",
              " (b'miss', b'steeles'): 406.7455462184874,\n",
              " (b'most', b'beautiful'): 16.30563694985349,\n",
              " (b'human', b'beings'): 191.52706552706556,\n",
              " (b'sugar', b'plums'): 5662.879802955666,\n",
              " (b'two', b'boys'): 13.239400868718477,\n",
              " (b'miss', b'steele'): 243.16309828279137,\n",
              " (b'lucy', b'steele'): 285.9328922495274,\n",
              " (b'i', b'm'): 16.271042011107397,\n",
              " (b'm', b'sure'): 102.49120766084593,\n",
              " (b'robert', b'ferrars'): 95.96098334655036,\n",
              " (b'mr', b'pratt'): 85.6018675721562,\n",
              " (b'at', b'longstaple'): 16.48773708306082,\n",
              " (b'poor', b'edward'): 12.172840599071293,\n",
              " (b'their', b'names'): 14.302226309432303,\n",
              " (b'latter', b'end'): 42.203822544642854,\n",
              " (b'i', b've'): 13.517866465271059,\n",
              " (b'lifted', b'up'): 72.07416702839072,\n",
              " (b'third', b'day'): 33.7914061089195,\n",
              " (b'starting', b'up'): 11.47168738090498,\n",
              " (b't', b'know'): 12.457577307748522,\n",
              " (b'returned', b'home'): 12.90725432262056,\n",
              " (b'berkeley', b'street'): 1449.9725490196079,\n",
              " (b'conduit', b'street'): 203.71515151515152,\n",
              " (b'lit', b'up'): 36.13581524985069,\n",
              " (b'as', b'follows'): 14.278650094398992,\n",
              " (b'having', b'received'): 11.384803552611771,\n",
              " (b'who', b'cares'): 12.52589229028073,\n",
              " (b'miss', b'grey'): 10.25064380590946,\n",
              " (b'fifty', b'thousand'): 20.37380177348749,\n",
              " (b'why', b'don'): 12.795415425355841,\n",
              " (b'thousand', b'times'): 12.06362743003632,\n",
              " (b'walked', b'across'): 13.91218569999655,\n",
              " (b'fourteen', b'years'): 15.563975922210217,\n",
              " (b'your', b'sakes'): 32.49059753954306,\n",
              " (b'bartlett', b's'): 10.18987469684721,\n",
              " (b'dressing', b'gown'): 509.2878787878788,\n",
              " (b'wild', b'beasts'): 105.2399430740038,\n",
              " (b'miss', b'morton'): 267.5957540911101,\n",
              " (b'six', b'hundred'): 132.00427053900353,\n",
              " (b'harley', b'street'): 1540.5958333333335,\n",
              " (b'most', b'high'): 22.2500544936901,\n",
              " (b'filled', b'with'): 14.087588281459942,\n",
              " (b'two', b'thirds'): 42.47641112047178,\n",
              " (b'public', b'school'): 43.038412291933426,\n",
              " (b\",'\", b'says'): 42.67564803385647,\n",
              " (b'fell', b'upon'): 13.94880910923142,\n",
              " (b's', b'office'): 12.330604675176458,\n",
              " (b'yes', b'ma'): 15.105834768931166,\n",
              " (b'come', b'near'): 11.571024613341859,\n",
              " (b'give', b'ear'): 35.78134979774324,\n",
              " (b'reminds', b'me'): 14.199176259372688,\n",
              " (b'ten', b'guineas'): 26.425314465408807,\n",
              " (b'south', b'east'): 17.11383597097883,\n",
              " (b'mr', b'harris'): 85.6018675721562,\n",
              " (b'quicker', b'than'): 12.238732907193139,\n",
              " (b'bent', b'over'): 11.258750628035504,\n",
              " (b'justified', b'by'): 11.526506299532617,\n",
              " (b'from', b'thence'): 27.334646896223614,\n",
              " (b'latter', b'days'): 29.77529527559055,\n",
              " (b'sprung', b'up'): 24.090543499900463,\n",
              " (b'or', b'later'): 13.913825368307583,\n",
              " (b'living', b'creature'): 82.51963993453354,\n",
              " (b'first', b'month'): 25.952445658418213,\n",
              " (b'have', b'transgressed'): 23.003695592663565,\n",
              " ...}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ybi5gipND2lO",
        "colab_type": "code",
        "colab": {},
        "outputId": "af362076-8cf8-4d19-e9f2-86e9ab18d4b0"
      },
      "source": [
        "lower_bigram[\"jon lives in new york city\".split()]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['jon', 'lives', 'in', 'new_york', 'city']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "U09EWf9mD2lQ",
        "colab_type": "code",
        "colab": {},
        "outputId": "1da7bd0c-ed5a-4bdf-d62d-70b38de3fd00"
      },
      "source": [
        "lower_bigram = Phraser(Phrases(lower_sents, min_count=32, threshold=64))\n",
        "lower_bigram.phrasegrams"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{(b'miss', b'taylor'): 156.44059469941823,\n",
              " (b'mr', b'woodhouse'): 82.04651843976633,\n",
              " (b'mr', b'weston'): 75.87438262077481,\n",
              " (b'mrs', b'weston'): 160.68485093258923,\n",
              " (b'great', b'deal'): 93.36368125424357,\n",
              " (b'mr', b'knightley'): 161.74131790625913,\n",
              " (b'miss', b'woodhouse'): 229.03802722366902,\n",
              " (b'years', b'ago'): 74.31594785893046,\n",
              " (b'mr', b'elton'): 121.3990121932397,\n",
              " (b'dare', b'say'): 89.94000515807346,\n",
              " (b'frank', b'churchill'): 1316.4456593286038,\n",
              " (b'miss', b'bates'): 276.39588291692513,\n",
              " (b'drawing', b'room'): 84.91494947493561,\n",
              " (b'mrs', b'goddard'): 143.57843432545658,\n",
              " (b'miss', b'smith'): 73.03442128232508,\n",
              " (b'few', b'minutes'): 204.16834974753786,\n",
              " (b'john', b'knightley'): 83.03755747111268,\n",
              " (b'don', b't'): 250.30957446808512,\n",
              " (b'good', b'natured'): 88.69936184891343,\n",
              " (b'few', b'moments'): 107.77584531675087,\n",
              " (b'thousand', b'pounds'): 166.51834523092802,\n",
              " (b'o', b'clock'): 89.14789088153573,\n",
              " (b'jane', b'fairfax'): 654.5565917587609,\n",
              " (b'miss', b'fairfax'): 196.19987447261062,\n",
              " (b'ma', b'am'): 157.25846601094193,\n",
              " (b'mrs', b'elton'): 93.08931456265867,\n",
              " (b'forty', b'years'): 90.60220877269607,\n",
              " (b'cut', b'off'): 129.60290535032792,\n",
              " (b'ten', b'thousand'): 84.00099962514057,\n",
              " (b'sir', b'walter'): 399.5145142857143,\n",
              " (b'lady', b'russell'): 613.6301581282135,\n",
              " (b'mr', b'elliot'): 126.18129960463163,\n",
              " (b'mrs', b'clay'): 93.08931456265867,\n",
              " (b'captain', b'wentworth'): 529.8756608388247,\n",
              " (b'mrs', b'musgrove'): 85.21252640735679,\n",
              " (b'charles', b'hayter'): 92.03437785214481,\n",
              " (b'captain', b'benwick'): 241.49037086312987,\n",
              " (b'mrs', b'smith'): 84.60327207490248,\n",
              " (b'mrs', b'dashwood'): 115.06873605661974,\n",
              " (b'mrs', b'ferrars'): 102.75628184416554,\n",
              " (b'sir', b'john'): 95.83994133176884,\n",
              " (b'lady', b'middleton'): 350.26733319243175,\n",
              " (b'mrs', b'jennings'): 279.0655756128398,\n",
              " (b'colonel', b'brandon'): 1313.0078125,\n",
              " (b'miss', b'dashwood'): 76.66830732292917,\n",
              " (b'won', b't'): 189.96708776595744,\n",
              " (b'm', b'sure'): 69.15069432539002,\n",
              " (b'six', b'hundred'): 73.57615079223149,\n",
              " (b'gathered', b'together'): 103.28066074898891,\n",
              " (b'thou', b'shalt'): 66.88233182614454,\n",
              " (b'burnt', b'offerings'): 299.15702343127646,\n",
              " (b'sweet', b'savour'): 286.17879256965944,\n",
              " (b'unleavened', b'bread'): 237.70041787206688,\n",
              " (b'burnt', b'offering'): 297.524653753951,\n",
              " (b'afar', b'off'): 108.14220347465505,\n",
              " (b'take', b'heed'): 86.38454061712328,\n",
              " (b'sent', b'messengers'): 79.21555418015616,\n",
              " (b'thus', b'saith'): 144.0289127889979,\n",
              " (b'without', b'blemish'): 83.71359108159393,\n",
              " (b'peace', b'offerings'): 176.2577199456205,\n",
              " (b'sin', b'offering'): 129.96079665512747,\n",
              " (b'meat', b'offering'): 210.66724956379437,\n",
              " (b'fine', b'flour'): 86.07682458386685,\n",
              " (b'high', b'places'): 129.8123390846559,\n",
              " (b'fig', b'tree'): 121.73722334004026,\n",
              " (b'fir', b'tree'): 72.6789393074867,\n",
              " (b'mercy', b'endureth'): 269.07674062361025,\n",
              " (b'chief', b'priests'): 116.31947753846512,\n",
              " (b'jesus', b'christ'): 172.16816954974848,\n",
              " (b'holy', b'ghost'): 313.0305073859987,\n",
              " (b'o', b'er'): 108.14993564993564,\n",
              " (b'couldn', b't'): 171.76138536935215,\n",
              " (b'didn', b't'): 220.51081560283686,\n",
              " (b'little', b'jackal'): 69.81254128038833,\n",
              " (b'wasn', b't'): 120.2225788701394,\n",
              " (b'isn', b't'): 131.96593211752787,\n",
              " (b'doesn', b't'): 106.2634985949418,\n",
              " (b'wouldn', b't'): 120.2225788701394,\n",
              " (b'father', b'brown'): 91.68277248710235,\n",
              " (b'buster', b'bear'): 479.87410772225826,\n",
              " (b'green', b'forest'): 336.37733627667404,\n",
              " (b'little', b'joe'): 133.28784038147822,\n",
              " (b'joe', b'otter'): 1271.6141235813368,\n",
              " (b'farmer', b'brown'): 386.05179596892236,\n",
              " (b'mock', b'turtle'): 2528.877742946708,\n",
              " (b'dr', b'bull'): 680.7870294599019,\n",
              " (b'guinea', b'hen'): 905.8822695035461,\n",
              " (b'sir', b'arthur'): 131.41924812030075,\n",
              " (b'miss', b'somers'): 160.06190476190477,\n",
              " (b'mr', b'gresham'): 87.31390492359931,\n",
              " (b'mrs', b'theresa'): 170.20061244665206,\n",
              " (b'de', b'grey'): 603.2109624246722,\n",
              " (b'dr', b'middleton'): 162.73103819257668,\n",
              " (b'moby', b'dick'): 4115.877551020409,\n",
              " (b'sperm', b'whale'): 297.3672297627184,\n",
              " (b'mast', b'heads'): 77.7358926919519,\n",
              " (b'wee', b'l'): 450.39751861042186}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4R1_1SR1D2lT",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "clean_sents = []\n",
        "for s in lower_sents:\n",
        "    clean_sents.append(lower_bigram[s])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oKfACtnMD2lV",
        "colab_type": "code",
        "colab": {},
        "outputId": "9a6b8672-0db0-437e-c9b2-3956289a04da"
      },
      "source": [
        "clean_sents[0:9]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['emma', 'by', 'jane', 'austen', '1816'],\n",
              " ['volume', 'i'],\n",
              " ['chapter', 'i'],\n",
              " ['emma',\n",
              "  'woodhouse',\n",
              "  'handsome',\n",
              "  'clever',\n",
              "  'and',\n",
              "  'rich',\n",
              "  'with',\n",
              "  'a',\n",
              "  'comfortable',\n",
              "  'home',\n",
              "  'and',\n",
              "  'happy',\n",
              "  'disposition',\n",
              "  'seemed',\n",
              "  'to',\n",
              "  'unite',\n",
              "  'some',\n",
              "  'of',\n",
              "  'the',\n",
              "  'best',\n",
              "  'blessings',\n",
              "  'of',\n",
              "  'existence',\n",
              "  'and',\n",
              "  'had',\n",
              "  'lived',\n",
              "  'nearly',\n",
              "  'twenty',\n",
              "  'one',\n",
              "  'years',\n",
              "  'in',\n",
              "  'the',\n",
              "  'world',\n",
              "  'with',\n",
              "  'very',\n",
              "  'little',\n",
              "  'to',\n",
              "  'distress',\n",
              "  'or',\n",
              "  'vex',\n",
              "  'her'],\n",
              " ['she',\n",
              "  'was',\n",
              "  'the',\n",
              "  'youngest',\n",
              "  'of',\n",
              "  'the',\n",
              "  'two',\n",
              "  'daughters',\n",
              "  'of',\n",
              "  'a',\n",
              "  'most',\n",
              "  'affectionate',\n",
              "  'indulgent',\n",
              "  'father',\n",
              "  'and',\n",
              "  'had',\n",
              "  'in',\n",
              "  'consequence',\n",
              "  'of',\n",
              "  'her',\n",
              "  'sister',\n",
              "  's',\n",
              "  'marriage',\n",
              "  'been',\n",
              "  'mistress',\n",
              "  'of',\n",
              "  'his',\n",
              "  'house',\n",
              "  'from',\n",
              "  'a',\n",
              "  'very',\n",
              "  'early',\n",
              "  'period'],\n",
              " ['her',\n",
              "  'mother',\n",
              "  'had',\n",
              "  'died',\n",
              "  'too',\n",
              "  'long',\n",
              "  'ago',\n",
              "  'for',\n",
              "  'her',\n",
              "  'to',\n",
              "  'have',\n",
              "  'more',\n",
              "  'than',\n",
              "  'an',\n",
              "  'indistinct',\n",
              "  'remembrance',\n",
              "  'of',\n",
              "  'her',\n",
              "  'caresses',\n",
              "  'and',\n",
              "  'her',\n",
              "  'place',\n",
              "  'had',\n",
              "  'been',\n",
              "  'supplied',\n",
              "  'by',\n",
              "  'an',\n",
              "  'excellent',\n",
              "  'woman',\n",
              "  'as',\n",
              "  'governess',\n",
              "  'who',\n",
              "  'had',\n",
              "  'fallen',\n",
              "  'little',\n",
              "  'short',\n",
              "  'of',\n",
              "  'a',\n",
              "  'mother',\n",
              "  'in',\n",
              "  'affection'],\n",
              " ['sixteen',\n",
              "  'years',\n",
              "  'had',\n",
              "  'miss_taylor',\n",
              "  'been',\n",
              "  'in',\n",
              "  'mr_woodhouse',\n",
              "  's',\n",
              "  'family',\n",
              "  'less',\n",
              "  'as',\n",
              "  'a',\n",
              "  'governess',\n",
              "  'than',\n",
              "  'a',\n",
              "  'friend',\n",
              "  'very',\n",
              "  'fond',\n",
              "  'of',\n",
              "  'both',\n",
              "  'daughters',\n",
              "  'but',\n",
              "  'particularly',\n",
              "  'of',\n",
              "  'emma'],\n",
              " ['between',\n",
              "  '_them_',\n",
              "  'it',\n",
              "  'was',\n",
              "  'more',\n",
              "  'the',\n",
              "  'intimacy',\n",
              "  'of',\n",
              "  'sisters'],\n",
              " ['even',\n",
              "  'before',\n",
              "  'miss_taylor',\n",
              "  'had',\n",
              "  'ceased',\n",
              "  'to',\n",
              "  'hold',\n",
              "  'the',\n",
              "  'nominal',\n",
              "  'office',\n",
              "  'of',\n",
              "  'governess',\n",
              "  'the',\n",
              "  'mildness',\n",
              "  'of',\n",
              "  'her',\n",
              "  'temper',\n",
              "  'had',\n",
              "  'hardly',\n",
              "  'allowed',\n",
              "  'her',\n",
              "  'to',\n",
              "  'impose',\n",
              "  'any',\n",
              "  'restraint',\n",
              "  'and',\n",
              "  'the',\n",
              "  'shadow',\n",
              "  'of',\n",
              "  'authority',\n",
              "  'being',\n",
              "  'now',\n",
              "  'long',\n",
              "  'passed',\n",
              "  'away',\n",
              "  'they',\n",
              "  'had',\n",
              "  'been',\n",
              "  'living',\n",
              "  'together',\n",
              "  'as',\n",
              "  'friend',\n",
              "  'and',\n",
              "  'friend',\n",
              "  'very',\n",
              "  'mutually',\n",
              "  'attached',\n",
              "  'and',\n",
              "  'emma',\n",
              "  'doing',\n",
              "  'just',\n",
              "  'what',\n",
              "  'she',\n",
              "  'liked',\n",
              "  'highly',\n",
              "  'esteeming',\n",
              "  'miss_taylor',\n",
              "  's',\n",
              "  'judgment',\n",
              "  'but',\n",
              "  'directed',\n",
              "  'chiefly',\n",
              "  'by',\n",
              "  'her',\n",
              "  'own']]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cN4phEN3D2lY",
        "colab_type": "code",
        "colab": {},
        "outputId": "6af0c8f3-13ca-42c1-a49e-ec2c8da35c41"
      },
      "source": [
        "clean_sents[6] "
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['sixteen',\n",
              " 'years',\n",
              " 'had',\n",
              " 'miss_taylor',\n",
              " 'been',\n",
              " 'in',\n",
              " 'mr_woodhouse',\n",
              " 's',\n",
              " 'family',\n",
              " 'less',\n",
              " 'as',\n",
              " 'a',\n",
              " 'governess',\n",
              " 'than',\n",
              " 'a',\n",
              " 'friend',\n",
              " 'very',\n",
              " 'fond',\n",
              " 'of',\n",
              " 'both',\n",
              " 'daughters',\n",
              " 'but',\n",
              " 'particularly',\n",
              " 'of',\n",
              " 'emma']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UjVSAqGrD2la",
        "colab_type": "text"
      },
      "source": [
        "#### Run word2vec"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "urqHUfKRD2lb",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# max_vocab_size can be used instead of min_count (which has increased here)\n",
        "# model = Word2Vec(sentences=clean_sents, size=64, \n",
        "#                  sg=1, window=10, iter=5,\n",
        "#                  min_count=10, workers=4)\n",
        "# model.save('clean_gutenberg_model.w2v')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bAilWnJQD2ld",
        "colab_type": "text"
      },
      "source": [
        "#### Explore model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2RSQ5hf_D2lf",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# skip re-training the model with the next line:  \n",
        "model = gensim.models.Word2Vec.load('clean_gutenberg_model.w2v') "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PApWCHC9D2lh",
        "colab_type": "code",
        "colab": {},
        "outputId": "b34608b1-2e13-48c3-ffa8-32873c910342"
      },
      "source": [
        "len(model.wv.vocab) # would be 17k if we carried out no preprocessing"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "10329"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zVLwhd5yD2lj",
        "colab_type": "code",
        "colab": {},
        "outputId": "300c615e-f2ca-4c77-b7e3-145d24a30381"
      },
      "source": [
        "model.wv['dog']"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 0.38401067,  0.01232518, -0.37594706, -0.00112308,  0.38663676,\n",
              "        0.01287549,  0.398965  ,  0.0096426 , -0.10419296, -0.02877572,\n",
              "        0.3207022 ,  0.27838793,  0.62772304,  0.34408906,  0.23356602,\n",
              "        0.24557391,  0.3398472 ,  0.07168821, -0.18941355, -0.10122284,\n",
              "       -0.35172758,  0.4038952 , -0.12179806,  0.096336  ,  0.00641343,\n",
              "        0.02332107,  0.7743452 ,  0.03591069, -0.20103034, -0.1688079 ,\n",
              "       -0.01331445, -0.29832968,  0.08522387, -0.02750671,  0.32494134,\n",
              "       -0.14266558, -0.4192913 , -0.09291836, -0.23813559,  0.38258648,\n",
              "        0.11036541,  0.005807  , -0.16745028,  0.34308755, -0.20224966,\n",
              "       -0.77683043,  0.05146591, -0.5883941 , -0.0718769 , -0.18120563,\n",
              "        0.00358319, -0.29351747,  0.153776  ,  0.48048878,  0.22479494,\n",
              "        0.5465321 ,  0.29695514,  0.00986911, -0.2450937 , -0.19344331,\n",
              "        0.3541134 ,  0.3426432 , -0.10496043,  0.00543602], dtype=float32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "G0BRAZjFD2lm",
        "colab_type": "code",
        "colab": {},
        "outputId": "91018e1a-c932-4dd4-85c4-d7bef3f10d91"
      },
      "source": [
        "len(model.wv['dog'])"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "S-0nqxPWD2lp",
        "colab_type": "code",
        "colab": {},
        "outputId": "4dd74b81-d386-4209-c5ef-a38dca2b938d"
      },
      "source": [
        "model.wv.most_similar('dog', topn=3)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('puppy', 0.7834004163742065),\n",
              " ('cage', 0.7651870846748352),\n",
              " ('brahmin', 0.7646074295043945)]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c6hRq148D2lv",
        "colab_type": "code",
        "colab": {},
        "outputId": "10ed8c3d-4629-4921-b6c1-86f6a91fedae"
      },
      "source": [
        "model.wv.most_similar('eat', topn=3)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('drink', 0.8292896747589111),\n",
              " ('bread', 0.8157557845115662),\n",
              " ('meat', 0.763256311416626)]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hj-EWj2VD2ly",
        "colab_type": "code",
        "colab": {},
        "outputId": "82ad3463-e985-483a-dc39-a3286318ae80"
      },
      "source": [
        "model.wv.most_similar('day', topn=3)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('morning', 0.7578363418579102),\n",
              " ('night', 0.7324314713478088),\n",
              " ('week', 0.7262506484985352)]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "k_lh9E1ID2lz",
        "colab_type": "code",
        "colab": {},
        "outputId": "45e71877-4b96-4110-830c-6c9abeab8752"
      },
      "source": [
        "model.wv.most_similar('father', topn=3)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('mother', 0.8257375359535217),\n",
              " ('brother', 0.7275018692016602),\n",
              " ('sister', 0.7177823781967163)]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Jb3xOF-uD2l4",
        "colab_type": "code",
        "colab": {},
        "outputId": "60ebc1d9-e597-44d9-f278-8f64b5c92acc"
      },
      "source": [
        "model.wv.most_similar('ma_am', topn=3) "
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('madam', 0.8472708463668823),\n",
              " ('nancy', 0.8370794057846069),\n",
              " ('betty', 0.8337127566337585)]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8XTkTA7_D2l6",
        "colab_type": "code",
        "colab": {},
        "outputId": "70e4bd59-c481-4d8d-b6a3-5fe1b97039f6"
      },
      "source": [
        "model.wv.doesnt_match(\"mother father sister brother dog\".split())"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'dog'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AYU_TDD8D2l8",
        "colab_type": "code",
        "colab": {},
        "outputId": "81bb14bc-8765-416b-9835-6e42b2c2aec3"
      },
      "source": [
        "model.wv.similarity('father', 'dog')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.44234338"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e651y0mLD2l_",
        "colab_type": "code",
        "colab": {},
        "outputId": "e338da1d-f560-4208-d316-4a7a190ebddc"
      },
      "source": [
        "model.wv.most_similar(positive=['father', 'woman'], negative=['man']) "
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('mother', 0.7650133371353149),\n",
              " ('husband', 0.7556628584861755),\n",
              " ('sister', 0.7482180595397949),\n",
              " ('daughter', 0.7390402555465698),\n",
              " ('wife', 0.7284981608390808),\n",
              " ('sarah', 0.6856439113616943),\n",
              " ('daughters', 0.6652647256851196),\n",
              " ('conceived', 0.6637862920761108),\n",
              " ('rebekah', 0.6580977439880371),\n",
              " ('dearly', 0.6398962736129761)]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZXxh9mjZD2mB",
        "colab_type": "code",
        "colab": {},
        "outputId": "ab00bb89-4c67-4eae-808b-e47816f5f49c"
      },
      "source": [
        "model.wv.most_similar(positive=['husband', 'woman'], negative=['man']) "
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('wife', 0.707526445388794),\n",
              " ('sister', 0.6973985433578491),\n",
              " ('maid', 0.6911259889602661),\n",
              " ('daughter', 0.6799546480178833),\n",
              " ('mother', 0.6583081483840942),\n",
              " ('child', 0.6433471441268921),\n",
              " ('conceived', 0.6391384601593018),\n",
              " ('harlot', 0.6089693307876587),\n",
              " ('daughters', 0.6069822907447815),\n",
              " ('marriage', 0.5894294381141663)]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QA7stuqPD2mD",
        "colab_type": "text"
      },
      "source": [
        "#### Reduce word vector dimensionality with t-SNE"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dyiXoDGwD2mD",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# tsne = TSNE(n_components=2, n_iter=1000)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gAK8T2aXD2mF",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# X_2d = tsne.fit_transform(model.wv[model.wv.vocab])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "z6bK8fcwD2mH",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# coords_df = pd.DataFrame(X_2d, columns=['x','y'])\n",
        "# coords_df['token'] = model.wv.vocab.keys()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7kFPhL6pD2mJ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# coords_df.head()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CJ7TjYS5D2mL",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# coords_df.to_csv('clean_gutenberg_tsne.csv', index=False)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gnJqkDUjD2mO",
        "colab_type": "text"
      },
      "source": [
        "#### Visualise "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HadiW80-D2mQ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "coords_df = pd.read_csv('clean_gutenberg_tsne.csv')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VJMJXZfcD2mS",
        "colab_type": "code",
        "colab": {},
        "outputId": "cb0d77bc-f631-4930-e835-ebf389366ae3"
      },
      "source": [
        "output_notebook()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "    <div class=\"bk-root\">\n",
              "        <a href=\"https://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
              "        <span id=\"1001\">Loading BokehJS ...</span>\n",
              "    </div>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "(function(root) {\n",
              "  function now() {\n",
              "    return new Date();\n",
              "  }\n",
              "\n",
              "  var force = true;\n",
              "\n",
              "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
              "    root._bokeh_onload_callbacks = [];\n",
              "    root._bokeh_is_loading = undefined;\n",
              "  }\n",
              "\n",
              "  var JS_MIME_TYPE = 'application/javascript';\n",
              "  var HTML_MIME_TYPE = 'text/html';\n",
              "  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
              "  var CLASS_NAME = 'output_bokeh rendered_html';\n",
              "\n",
              "  /**\n",
              "   * Render data to the DOM node\n",
              "   */\n",
              "  function render(props, node) {\n",
              "    var script = document.createElement(\"script\");\n",
              "    node.appendChild(script);\n",
              "  }\n",
              "\n",
              "  /**\n",
              "   * Handle when an output is cleared or removed\n",
              "   */\n",
              "  function handleClearOutput(event, handle) {\n",
              "    var cell = handle.cell;\n",
              "\n",
              "    var id = cell.output_area._bokeh_element_id;\n",
              "    var server_id = cell.output_area._bokeh_server_id;\n",
              "    // Clean up Bokeh references\n",
              "    if (id != null && id in Bokeh.index) {\n",
              "      Bokeh.index[id].model.document.clear();\n",
              "      delete Bokeh.index[id];\n",
              "    }\n",
              "\n",
              "    if (server_id !== undefined) {\n",
              "      // Clean up Bokeh references\n",
              "      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
              "      cell.notebook.kernel.execute(cmd, {\n",
              "        iopub: {\n",
              "          output: function(msg) {\n",
              "            var id = msg.content.text.trim();\n",
              "            if (id in Bokeh.index) {\n",
              "              Bokeh.index[id].model.document.clear();\n",
              "              delete Bokeh.index[id];\n",
              "            }\n",
              "          }\n",
              "        }\n",
              "      });\n",
              "      // Destroy server and session\n",
              "      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
              "      cell.notebook.kernel.execute(cmd);\n",
              "    }\n",
              "  }\n",
              "\n",
              "  /**\n",
              "   * Handle when a new output is added\n",
              "   */\n",
              "  function handleAddOutput(event, handle) {\n",
              "    var output_area = handle.output_area;\n",
              "    var output = handle.output;\n",
              "\n",
              "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
              "    if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
              "      return\n",
              "    }\n",
              "\n",
              "    var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
              "\n",
              "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
              "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
              "      // store reference to embed id on output_area\n",
              "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
              "    }\n",
              "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
              "      var bk_div = document.createElement(\"div\");\n",
              "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
              "      var script_attrs = bk_div.children[0].attributes;\n",
              "      for (var i = 0; i < script_attrs.length; i++) {\n",
              "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
              "      }\n",
              "      // store reference to server id on output_area\n",
              "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
              "    }\n",
              "  }\n",
              "\n",
              "  function register_renderer(events, OutputArea) {\n",
              "\n",
              "    function append_mime(data, metadata, element) {\n",
              "      // create a DOM node to render to\n",
              "      var toinsert = this.create_output_subarea(\n",
              "        metadata,\n",
              "        CLASS_NAME,\n",
              "        EXEC_MIME_TYPE\n",
              "      );\n",
              "      this.keyboard_manager.register_events(toinsert);\n",
              "      // Render to node\n",
              "      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
              "      render(props, toinsert[toinsert.length - 1]);\n",
              "      element.append(toinsert);\n",
              "      return toinsert\n",
              "    }\n",
              "\n",
              "    /* Handle when an output is cleared or removed */\n",
              "    events.on('clear_output.CodeCell', handleClearOutput);\n",
              "    events.on('delete.Cell', handleClearOutput);\n",
              "\n",
              "    /* Handle when a new output is added */\n",
              "    events.on('output_added.OutputArea', handleAddOutput);\n",
              "\n",
              "    /**\n",
              "     * Register the mime type and append_mime function with output_area\n",
              "     */\n",
              "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
              "      /* Is output safe? */\n",
              "      safe: true,\n",
              "      /* Index of renderer in `output_area.display_order` */\n",
              "      index: 0\n",
              "    });\n",
              "  }\n",
              "\n",
              "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
              "  if (root.Jupyter !== undefined) {\n",
              "    var events = require('base/js/events');\n",
              "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
              "\n",
              "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
              "      register_renderer(events, OutputArea);\n",
              "    }\n",
              "  }\n",
              "\n",
              "  \n",
              "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
              "    root._bokeh_timeout = Date.now() + 5000;\n",
              "    root._bokeh_failed_load = false;\n",
              "  }\n",
              "\n",
              "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
              "     \"<div style='background-color: #fdd'>\\n\"+\n",
              "     \"<p>\\n\"+\n",
              "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
              "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
              "     \"</p>\\n\"+\n",
              "     \"<ul>\\n\"+\n",
              "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
              "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
              "     \"</ul>\\n\"+\n",
              "     \"<code>\\n\"+\n",
              "     \"from bokeh.resources import INLINE\\n\"+\n",
              "     \"output_notebook(resources=INLINE)\\n\"+\n",
              "     \"</code>\\n\"+\n",
              "     \"</div>\"}};\n",
              "\n",
              "  function display_loaded() {\n",
              "    var el = document.getElementById(\"1001\");\n",
              "    if (el != null) {\n",
              "      el.textContent = \"BokehJS is loading...\";\n",
              "    }\n",
              "    if (root.Bokeh !== undefined) {\n",
              "      if (el != null) {\n",
              "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
              "      }\n",
              "    } else if (Date.now() < root._bokeh_timeout) {\n",
              "      setTimeout(display_loaded, 100)\n",
              "    }\n",
              "  }\n",
              "\n",
              "\n",
              "  function run_callbacks() {\n",
              "    try {\n",
              "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
              "        if (callback != null)\n",
              "          callback();\n",
              "      });\n",
              "    } finally {\n",
              "      delete root._bokeh_onload_callbacks\n",
              "    }\n",
              "    console.debug(\"Bokeh: all callbacks have finished\");\n",
              "  }\n",
              "\n",
              "  function load_libs(css_urls, js_urls, callback) {\n",
              "    if (css_urls == null) css_urls = [];\n",
              "    if (js_urls == null) js_urls = [];\n",
              "\n",
              "    root._bokeh_onload_callbacks.push(callback);\n",
              "    if (root._bokeh_is_loading > 0) {\n",
              "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
              "      return null;\n",
              "    }\n",
              "    if (js_urls == null || js_urls.length === 0) {\n",
              "      run_callbacks();\n",
              "      return null;\n",
              "    }\n",
              "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
              "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
              "\n",
              "    function on_load() {\n",
              "      root._bokeh_is_loading--;\n",
              "      if (root._bokeh_is_loading === 0) {\n",
              "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
              "        run_callbacks()\n",
              "      }\n",
              "    }\n",
              "\n",
              "    function on_error() {\n",
              "      console.error(\"failed to load \" + url);\n",
              "    }\n",
              "\n",
              "    for (var i = 0; i < css_urls.length; i++) {\n",
              "      var url = css_urls[i];\n",
              "      const element = document.createElement(\"link\");\n",
              "      element.onload = on_load;\n",
              "      element.onerror = on_error;\n",
              "      element.rel = \"stylesheet\";\n",
              "      element.type = \"text/css\";\n",
              "      element.href = url;\n",
              "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
              "      document.body.appendChild(element);\n",
              "    }\n",
              "\n",
              "    for (var i = 0; i < js_urls.length; i++) {\n",
              "      var url = js_urls[i];\n",
              "      var element = document.createElement('script');\n",
              "      element.onload = on_load;\n",
              "      element.onerror = on_error;\n",
              "      element.async = false;\n",
              "      element.src = url;\n",
              "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
              "      document.head.appendChild(element);\n",
              "    }\n",
              "  };var element = document.getElementById(\"1001\");\n",
              "  if (element == null) {\n",
              "    console.error(\"Bokeh: ERROR: autoload.js configured with elementid '1001' but no matching script tag was found. \")\n",
              "    return false;\n",
              "  }\n",
              "\n",
              "  function inject_raw_css(css) {\n",
              "    const element = document.createElement(\"style\");\n",
              "    element.appendChild(document.createTextNode(css));\n",
              "    document.body.appendChild(element);\n",
              "  }\n",
              "\n",
              "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.3.4.min.js\"];\n",
              "  var css_urls = [];\n",
              "\n",
              "  var inline_js = [\n",
              "    function(Bokeh) {\n",
              "      Bokeh.set_log_level(\"info\");\n",
              "    },\n",
              "    \n",
              "    function(Bokeh) {\n",
              "      \n",
              "    },\n",
              "    function(Bokeh) {} // ensure no trailing comma for IE\n",
              "  ];\n",
              "\n",
              "  function run_inline_js() {\n",
              "    \n",
              "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
              "      for (var i = 0; i < inline_js.length; i++) {\n",
              "        inline_js[i].call(root, root.Bokeh);\n",
              "      }if (force === true) {\n",
              "        display_loaded();\n",
              "      }} else if (Date.now() < root._bokeh_timeout) {\n",
              "      setTimeout(run_inline_js, 100);\n",
              "    } else if (!root._bokeh_failed_load) {\n",
              "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
              "      root._bokeh_failed_load = true;\n",
              "    } else if (force !== true) {\n",
              "      var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n",
              "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
              "    }\n",
              "\n",
              "  }\n",
              "\n",
              "  if (root._bokeh_is_loading === 0) {\n",
              "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
              "    run_inline_js();\n",
              "  } else {\n",
              "    load_libs(css_urls, js_urls, function() {\n",
              "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
              "      run_inline_js();\n",
              "    });\n",
              "  }\n",
              "}(window));"
            ],
            "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"1001\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };var element = document.getElementById(\"1001\");\n  if (element == null) {\n    console.error(\"Bokeh: ERROR: autoload.js configured with elementid '1001' but no matching script tag was found. \")\n    return false;\n  }\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.3.4.min.js\"];\n  var css_urls = [];\n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      \n    },\n    function(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    \n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_A2kOZXKD2mU",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "subset_df = coords_df.sample(n=5000)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "U3ONcSEID2mY",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "p = figure(plot_width=800, plot_height=800)\n",
        "_ = p.text(x=subset_df.x, y=subset_df.y, text=subset_df.token)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EZCV28LGD2mZ",
        "colab_type": "code",
        "colab": {},
        "outputId": "642ef5d0-2748-4df5-8da1-b12c54469892"
      },
      "source": [
        "show(p)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "\n",
              "\n",
              "\n",
              "\n",
              "\n",
              "  <div class=\"bk-root\" id=\"707a1857-ab9d-47d4-a293-a6bce90b95f0\" data-root-id=\"1002\"></div>\n"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "(function(root) {\n",
              "  function embed_document(root) {\n",
              "    \n",
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EhlW8RUDA4h5LH7okQ8B0YDlCBrpHQOasTzkm1zZAqDXNO075MkCOJEG4Aro3wOi+nNmu4DNA/z7jwoEYRkD5254gsTlGQH5Uw35PPBLAilkvhnKOR8DD2a1lMgg9QOvDeqNW+DzASFvw/WgrEcCMmxpoPg83wFH4bB0cFkZAVrsmpDU2I8BPtKuQ8gM7wFppUgq6MUPANCpwsg2MFcAr2EY82VNCwDJyFva08xBAF0uRfCUgQEBckgN2NSkowKzJU1bT9S/A7j8yHTpNSMDtZHCUvCJEQANDVrd6UkHAqmVrfZFAEMCvQV96+6s5wJYmpaDbN0dA/r0UHjRLJsDmOo20VCYhwIC6gQLvLDDAn+3RG+47O8COklfnGEQyQHSqhECRW+c/m1q21hfxPMDyBpj5Dh4swPG6fsFuKkVA55Wh4BhoEMD3ArNCkYI1wAeSdw5lIC3A+wJ64c4hO0AvaYzWUXlEQLsQqz/CXCfAXjEjvD0UQUBNofMauyxCwCVqs/ufjQTAkZ+NXDcxSsDjafmBq6Q8QHuBWaFIKzBAWwpI+x/8NkDsTKHzGqM9wPDZOjjYmzDAHHv2XKbmMMDzNjY7Um0+QO1kcJS8YkDAbjSAt0CiQ8CeX5Sgv0xFQAeaz7nb/TBA3SbcK/MGJMDeOZShKv4gQBB5y9WPJSLAfXiWICPoOsBBKzBkdb1FQMpEW9/RwBZA5ulcUUo4FMBKCFbVyy8twAoXTcLgjR/AuVD51/IiOEAo1T4dj+lJQGFwzR39fwPAb2OzI9W5REB8SWO0jjI+wMVztoDQiixABXvhCDEbxL9H87aI3tj7v5MdG4F4cULA7OnZYm1CHcDMZ3ke3IUuwAux+iMMpzzAWBzO/GqSOkCvKjVakiy6P4GufQG9xEPAKuYg6Gg5N8CEZte9FQ00wKsUTEbfrug/jpJX5xgwLkBkQPZ696dBwJpwVBPpY+U/vsgVKHP9/L+kyFpDqRtDwJELzuDvb0JA8s8M4gMDSkBEwvf+BgFBwL+aAwRzeEdAYaxvYHKzQ0Byio7k8vdGwNpU3SObmy9AW94Lgn0q5D8DGAHb4hbeP/pGdM+6tiFADQ3V3vF31z8gmKPH7ylIQHqp2JjXQSbAkXpP5bRHLECpTZzc7zRAQG2l12Zj/TvAqHFvfsOUQcByxFp8CnBJQOCBAYQPGTbAbX4N0p2x4r+2hlJ7EYk1QC19QzxtCApAUmfuIeEvOMDcEU4LXjBKQCKUCJ6MaxjA34juWdfwJ0AceouH99wCQAQ+P4wQpjxAmgXaHVKwNMCI9rGC39pGQIM5evzeHk7ASDFAogn8OcDdKR2s/xM0wJy/CYUIbEDAcAhVavZURMCl/nqFBf86QDAS2nIuRTRA4bN1cLDXLsCKrgs/OPtEwGItPgXAIEFAGedvQiGgQMDo24KluqwxQEKY273czzlA+7SK/tAuSUANiuYBLLBAwGBa1Ce5CzzAwJfCg2b3LcBcgdcdQbAYQKCagYBrXR/AEB5tHLHKNMC9OseA7I08QBIT1PAtJCDA2qz6XG2pNEDzqPi/I04jQDnU78LWPDRAlBeZgF/pQ8Bg1Q+glYocwIF2hxQDVCNAzas6qwXWEMBlqmBUUhtAQMwtCEA3Zx1A8dWO4hzJN8BuF5rrNGo3wNrLttPWqAzAFvvL7slzJsBxcr9DUQQ1wMUI4dHGSSpAw5eJIqSeL8ArFOl+TjtHwDmez4B620BA1V3ZBYP3O8B/hGHAkqNBQD3VITfDgUFAhxQDJJpwBcCqEI/Eyxs3QH/fv3lxsjlA/k0oRMAFO8AgJuFCHlU3QJ/VE6ek2PE/8S+CxkwCLEAeU3dlF3Q9wDiDv1/MxhrA9x4uOe74QUAsSDMWTZdBQPM5d7teChrA9Pi9TX8aR8CKy/EKRDcqQImxTL9EuklAFoIclDBbS8DK372jxkpLwPVLxFvnPx7A/Pm2YKlaSsDrrYGtEnwjwAsJGF3edDHAP1bw2xADScAYey++aNsywLNCke7nfCDAKSLDKt6gRcCM1lHVBPEZwEIibeNPKERAreC3IcYbGMCcMGE0K0MjwKWAtP8BrkRA5HxWPnAa/b/ZdtoaEUQzQOC593DJKU9AMnctIR/wR8AnCdNBqDwUQB+fkJ23NUHA96i/XmH9S0Dfpj/7kVpCwG9ZdKGoshzAut42UyGOLUAWNZiG4YsywB4X1SKiVDXAZNtYP+zrFkBdxHdi1oc5QBMLfEW32jBAmYHK+PepFEDSxDvAk/o9wG8qUmFsoTrACRaHM78SKcCARX79EONCQMnKL4MxSkHAeQWiJ2XqMUAoYhHDDh1BQB8sY0M3EzTACAlRvqCFK0BkeVc9YHRAQOBiRQ2mzULA1edqK/a/RcDtEtVbA1sIwJje/lw0SktA0SLb+X5uN8AbgXhdv2BDQINpGD4iqkNA7lpCPugJQcBfiVEhaJYUwN9pMuNtQULAKPG5E+wXIEA46Wy3E1vSv9vf2R69rUdAysStghiQJMADl8eakT03QDf92Y8UrUHAm8k329yAMUCiemtgq7pFwHqjVpi+3yLABvUtc7pEScDBIr9+iE0awISc9/9xmjlAhA1Pr5QlKEA57L5jeDhNQMle7/54sUrAK98zEqFBHEC8DubAvLHxP3Sw/s9hlj9AkQvO4O8RQ0CXsDbGTjA/wO+qB8xDPiJAYwtBDkqgMEBxlScQdoImwJvJN9vcxERAvOtsyD8TEcCY3ZOHhVZAwECKOnMP8SdA0QZgAyKWQ0AxKT4+IWVAwMcuUb010kNAvmTjwRbpSsBXPWAeMs9JQF4cpscAmvY/2SWqtwZGPUCNs+kI4DYtQBnqsMItz0LA0nKgh9pyNsDKbJBJRv4xwC/5n/zdIyVAl4v4TsxiOkBWCRaHM6s9QINsWb4u90fAXTRkPErtNkD3jhoTYn4hwEypS8YxojJAt2J/2T1pPMArSgnBql5CQFbysbtAeR5AuFZ72As1PUCaXIyBdbxHwH5yFCAKwkNAYVRSJ6BJQ0DKviuC/yE6wCYoNP+eHg9A8uDdgIWyGEDT2cngKPtKwC/iOzHrrTrAg6eQK/U8EcCTOCuiJsoRwGbc1EDz3T5Amu/gJw6gEEBv7q8e9ykzwLq7zob8gz/AfEeNCTE3+D94lEp4Qss3wCZWRiOfkzVAgVt381SfN0CcqKW5FbIcQAJ/+PnvJT3AfAkVHF7gTkAfL6TDQ/pFQJMCC2DKgDjAKA6g3/f/AMBEi2zn+/UywPw2xHjNszRAJB+q3zuQFcDO/GoOEGRGwFK9NbBVlkVAijidZKuDJ8AraFpiZQxFQERTdvpBZTZA/g5FgT7ZNkCXdJSD2SBAwM3lBkMd/EfAwhIPKJtqN0CKAn0iT7oiQIoaTMPwhUHAHsakv5dKHUBqNo/DYGZFQBSzXgzlJCfAZUEXw4sUFkAog6Pk1Z1HwJT9b/y7BNK/r5RliGNJSUCPjUC8rmcpQPcA3Zcz0zTA+nq+ZrmIPUA3jliLT1EgwH14liAjyCTAvK5fsBteQUCNuAA0Sv8owIFCPX0Eij5AeAayQ6EqAUA0wtuDENw7QPBQFOgTzUfAjPm5oSnhQcBfmEwVjBopQJPeN772bDhALNUFvMzyQMC/DTFe8wooQBk8TPvmMjFAE0pfCDlrNkBybD1DOEhBwIy9F1+0HzFApRR0e0mTScAX8Z2Y9T44wJMiMqzi1TvAP7syXqm9+L9/slLWqVHAP2GOHr+3Y0NAVrYPecu9N0AZqIx/n21AQF/rUiP0lUfA6SRbXU6JM8CPHOkMjMQgwGVwlLw6m0jATOMXXkleQMBcPpKSHiYpwAFnKVlOGjDAKSMuAI0yLsDYYUz6e9k7QHuBWaFID0LAiZl9HqMEJkAc8PlhhHg0QCYYc3xZP/a/JICbxYs5OcDcf2Q6dIo5QEg17PfEPjDAjqbEvxlmD8CgpwGDpD1HwA4tsp3vizzAR4H0Aw0M8D9klGdeDrM7QGYOSS2UfCtAaLJ/ngaCR8AHBhA+lNQ8QGr3qwDfSUJAnwJgPIPGQEA/j1GeeYEywBWbRd4ouATAG2SSkbNQQECCVmDI6lY9wGVwlLw6i0hADr3Fw3t0SkAHQrKACbgzwKiSAaCKbz3AWyGsxhL2KcAUkPY/wF5FwGpsrwW99+w/pGsm32z3McC8OseA7PNCwFa5UPnX8vA/QS5x5IEYMsAEq+rld8I/wK36XG3F8kLAxXb3AN1vNEDutDUiGOdDwGu28pL/OSLAAP2+f/OCE8BPPwNFhxsPwCBHc2TlfzPAlZ9U+3QsRUBvMNRhhdFIwO488ZwtfDDAUmfuIeHnRsCK5CuBlEJIwIf8M4P4tEDAbd+j/nolJsCRL6GCw3c+wG5OJQNAHURApG5nX3lsQEA0tKYeDq8ZQFpG6j2VQUBANgUyO4tSOcDeG0MAcBBAQFkWTPxRfD7Ay6oZY3HpCMBDyHn/Hy9AwGCE3zyL5ABAKlQ3F3+bFsD5zQ4CPHP5v99sc2N6BkLAXpoiwOm9PsDZQpCDEgxAQPsjDAOWeEfAqU2c3O82SEDIPzOID+g7wEOoUrMHuj1AMbQ6OUPBNkAp6WFodZ46wCnHZHH/eS5Aw2fr4GC3EUBTH0jeOahIwCNKe4MvIDxAnwd3Z+2KN8Djb3uCxNBGwJpfzQGCURBAMuVDUDWyIkCzMztBUf8BQKONI9bim0PAr0M1JVn7MkAwStBf6DkdwJduEoPA6jhAvvvjvWpxMkDdBrXf2pkyQCkF3V7S2kfA73N8tDjLKMC4dTdPdYgzQOlDF9S3ND/AQIaOHVSqREBP7KF9rKg0wF/NAYI51EfAEEbsE0BRL0AZdELooOs+wOcVTz3SdDTARGlv8IVxKsAYYB+duqo2wLpJDAIr4zLA8G36sx95M8C9woL7Aa8cwGHhJM0fuyRASwosgCmPO0Bo6J/gYglJwOHSMecZqzRA2QbuQJ3GM0CZEd4ehBJGQD1eSIeHSCnAUbNR55v+6T+Kq8q+K4oqwPfGEAAc70dAF7g81oxcIkASDyibcjk6QBqojH+f2SvAliNkIM92O8DQfqSIDGs2wJDbL5+sykBAUn3nFyWAL8DP9BJjmX5HQAoTRrOyfSvAycfuAiUbQ0D9ogT9hdowQJZBtcGJaEHAZOsZwjEfSsBjzjP2JRMswJ0CLgJCb9G/IR/0bFZdRsBhGLDkKjozQJrpXif15TdAyvrNxHRhFMDJObGH9s06QABRMGMKnhNAE0ceiCw6NcCy17s/3klHQI4G8BZI2CxASWO0jqo2N8Aqkq8EUkIwQCI4LuOmLixAwtoYO+HlJEBxIY/gRgY7QIm1+BQAUyHAuKrsuyLKQcDpRe1+FVhDQDT2JRsP5jxAHsAiv35GRMBS19r7VAVEQBU1mIbhhzrANpIE4QrORUAQkgVM4DZPQBd9BWnGnkhAmMCtu3k+M8Ag8parHxMrQEhVE0TdgUlAlY+TeC/N9j+tUnqml6w9wEQ0uoPYkTTAwkzbv7IGRcAIVP8gkskbwKPPRxlxmTfAdqkR+plqNsAFpz6QvCMcQPH0SlmGKEbAOZuOAG7KSEBNd+gF6TMLQHeKsDyjuA3AxxAAHHtuOUCQyl4AK+EVwKBU+3Q8NkVATDJyFvaIQMAyVTAqqYMiQG7dzVMdsjXAt32P+uutJ8CZm29E91g+QFbRH5p5djpAIEYIjzYKTUBjCACOPbsVwFm/mZguHCtAt0YE4+BgRMBFuwopPyVMQCQO2UC61DJA+ziaIyvDSMC8BKc+kLhEQH5XBP9b0UFAe4MvTKZqQEDuX1lpUmJEwAmFCDiEJkpA5TEUwUkk6z9u72SBwAQOwB+8dmnDOShAUEzeADNDTcCjkjoBTQg1wGbZk8Dm8kRA0ocuqG/RLkBNnrKart8iwBFlXv2OJwdAVKnZA63QN8DqIRrdQeJBwI2chT3t4DHAIEYIjzZeOcBNwRpn02khwF7XL9gNKzPAF/Ayw0a3TUBZiuQrgXQqwIums5PB4TdA7kSkARcXFkCnkgGgioNCwJC93v3x/EhA7lpCPuh5PcCzPuWYLKYnQOazPA/u3jvAhPQUOURwNcC4xmeyf8YkQNviGp/JVhhAJNV3flEGSMAF/BpJgvAnwP35tmCpAijAs+pztRU7AEDh05y8yLRKQLiOccXFAS5AUoNpGD6KNMDk2eVbH8RJQAHZ690fB03AjClY42xcSsDDgvsBD65JQBGq1OyB/iRAiKWBH9XETkB3EhH+RQA6QDKtTWN7vUDAxVimXyLaQsCDwwsiUitEQAdagSGrkzNA8KKvIM0wQEBWf4RhwJY2wHpQUIpWbvI/GxzbIbQ04b849YHknVszwDu/KEF/7T/APsiyYOKnPcCxVYLF4fQxwHQMyF7vpjVABi0kYHTpSkAmOPWB5FFIwOlCrP4IEUNAfWDHf4FsIsC/EHLe/zs2wCfYf52bxijAMZQT7Spk5z/gumJGeIs+wAWk/Q+wZhxA8fYgBORfQkAUrkfheuwjwILix5i7jkDAJT53gv1HQsBSZ+4h4S85wEuaP6a13T9AEvdY+tA9MsBW0/VE110wwBbbpKKxZjzAnFCIgEMcIMDTo6mezP1AQJdzKa4qSyJAOSwN/KjIQ0BmRj8aThktwOelYmNewULA+bfLft25QcBhqS7gZcY3QBuBeF2//DnALTvEP2zlNcBVv9L58HA3wPYAJyVO2Pc/Uwq6vaTDRsBf0947xcXov8WOxqF+VUhARii2gqaVJEBSIQ1dP5MVQIBjz57LVEVAizIbZJKnQUCoxSJ+rP3MP8kCJnDr1j1ASYYcW8+oPkA/br98sio9wPd9kwH7yxhAHfzEAfT/OsAhBU8hV2JGwFbcE39vNhjAwhn8/WKaQsBW1GAahi8AwAg/cQD9cjLAEsMOY9K9SECg/N07ajBCwHL6er5me0rANIC3QIIC/L/FWKZfIi4pwIG0/wHW+krAWfePhehwKkB/L4UHzf41wIicvp6vhUBAYYvdPqvkM0CnQGZn0es4QF1PdF34OUbA1zOEY5YFO0B0uFZ72Fc0QF4QkZp2qTdAOQt72uHzRkAdrtUe9jY3wH6cm/w3K9q/Iv5hS4/2L8DfcB+5NR0/wPbwZaIInTpArMWnABhfMUCOHVTiOrxEwJRNucK7WkjAnfUpx2RNOUC77UJznVY2QFlRg2kYqkLAQINNnUe1MEDObcK9Mms2wAjMQ6Z8SCzAVwSkolb9GMB+4gD6fe8hQHzxRXu8BDpAAZ1Jm6pfP8DXTL7Z5hZBwIqWPJ6Wu0fA81KxMa+LLMAAqU2c3G1AQHFyv0NRqDDAmwKZnUWjO8DTwfo/h7dEwD+Ne/MbRhVA98ySADVhNMActFcfD10iQMtL/id/RxNAXUwz3etaSUAsms5OBsNCwOyjU1c+wzNATZtxGqLWMcBYBP9byT40QNfc0f9y40DABW9IowIfQUDjNa/qrBYlwLL1DOGYV0ZA4+MTsvO+J0BD5zV2idJAwHplzX6T3BfANlzknq7+OsCA07t4P+IzwLzplh3iKURAWyiZnNoFSsCwH2KDhSlDwEolPKHXfUVATd2VXTDUPkAIVP8gkndGQKN3KuCeuzFAWriswmbYIsAHliNkIPs9QALU1LK1sklAeM+B5QjZLcALSPsfYOkxwNJUT+YflTVARMAhVKktQ8AjK78MxugKwC/7dac7RyVArptSXiuZTkCJJlDEIiY9wGTpQxfUS0DA8Z2Y9WKIJMDvZ8JAISwawPJULCOaVRhAtKolHeV0NsAiiskbYN4wQExRLo1fWCJA3h6EgHwVRcAMyjSaXMw3QPm9TX/2SzNAbW3healoLkCBPLt86wc6QHUaaam8XRrAEfxvJTtKNMC6bd+j/i5KwLHdPUD3xTtAeuV620xVJ8CXUwJiEj5JwB2taklHuSpAbmk1JO4lOkCGdePdkXEuQCeJJeXuBzxAg4sVNZgWSsAgXtcv2I0yQH2x9+KLfkZAX51jQPaGO8B5yzi6CFvFP+Ayp8tiWjVAWOiDZWy0M8Atu3GcJTL3PypxHeOKp0tAXFX2XRE6QcA91/fhIFFMQLlwICQLoCLAqd4a2CpBJ0CV2SCTjPQoQE9AE2HDHUNA2CrB4nAQRkBLBKp/EEkpwJhr0QK0xUdAdsjNcAM+PcBJoSx8fUFNwCl4CrlSRybA4LpiRnj/NcDWGd8Xl0I8wHiazHhbyT1AYXDNHf2jPEAE54wo7bFEwC3Pg7uzhi3AUI2XbhIjFMBb431mWpwPQJHyk2qf7hzAFd0flJwY9T+79C9JZbosQH9Rgv5ClzFAuRyvQPTAO8DMJVXbTQAiwP6Bctu+0zNAmgtcHmvCRsDPKjOl9cc7QOMd4EkLRxhAaccNv5smPsDI0ocuqGtDQJXa5iGuXxPA4+Ko3EQRMcArGmt/Z58xwOazPA/ufkRAJIEGmzr7MUBi/fp870oCQFqdnKG4kxfAXBsqxvlnMMDwGYnQCLYiwJmesMQD2k7Ap3nHKToCQ8Dc1hael4IuwBk5C3vaITlA4GjHDb/LE8Buh4bFqDM+QJ3EGD8qUcY/83NDU3ZiK8BGDDuMSfckQFTejnBaVEnAMPZefNFWM8CNz2T/PBEpwCmr6XqiHzxA6QYKvJOvS0DzH9JvX09BwBelhGBVXRtA0v9yLVrwFsB+GCE82kZGwAjlfRzNEUJAk/lH36TRO8AhWcAEbolCQDROQ1ThPyXAKljjbDqyJsBKK76h8HFOwLg9QWK7q0hAtsmXBjQnAUDDuBtEa8UZQAcHexND8ve/escpOpJDOkDBOo4fKjkvwNGpK5/lmSvApG5nX3mQQ0DCbW3heXk3wKONI9bib01AZ14Ou+8UOcBPle8ZiWQ3wIBDqFKze01AcCyDxTwGw79WJZF9kCdEQF8JpMSuRSJAvqPGhJijJsDTX/k9+xvgv/Jgi90+S0HARTQVPUsLG0AEsDu8a3nSPxv2e2KdvkrAYMd/gSAAJ0AC9tGpK7dJQLStZp3xzTjAWMhcGVRPPsBOX8/XLEM3QLFVgsXh8DRAGWfC5Wd5+79DqiheZf0SwD2BsFOsiiHANUI/U69bJsBAa378pedFwIFCPX0EiEjApMACmDKEPUDx2M9iKZRKwCasjbETNinAH4XrUbj2SEAyWdx/ZABAwMtKk1LQrUlAWS4bnfN7JsAXD+85sPwkQEWu5d94SNi/fdKJBFPNMMC+nUSEf6U0wJPt1/inz/u/ETY8vVIiT0DIe9XKhGtKwCDtf4C1ukfAdlH0wMcoSUB2VDVB1AFOQOnWa3pQHDPA4Xt/g/a6RMApo4Cj03kNQJjD7juGozhA1zBD44kwRkCsONVamIUowIXwaOOIHUpA3htDAHCQQ8Bg6Xx4lgQ+wFGjkGRWozlAJxdjYB3bMUBUUiegiQRIQKQ1Bp0QmjbARG6GG/A5S8CnsFJBRd0rQNDtJY3RIi/Aoxqbwu9TEkA/ic+dYJ81wIY6rHDL5yfADD84nzr+GEBvwr0yb/X9P8uMyMG2jx1AGEFjJlGDNMCsU+V7Roo4wCegibDhUSVAGXRC6KAXMsBRvwtbs6UbQOLoKt1dJzBACt4tHErl3D94eqUsQ5hEQO15o/veyw9AAma+g5/aSEDsUbgehW8/QHKHTWTmgjNA5nKDoQ53S0CVYkfjUN8gQOtunuqQEy1AZof4hy11PsD5hsJn67Q2wAJ7TKQ0Wy3Az2T/PA1kMsDH0/IDV7kzwETdByC1STNAe1YtROJ5+b9fDOVEuy5GQMNpwYu+QjFAP21UpwOZPsADJ9vAHaQwQFYH5SJj4h9ARfgXQWOGGkASL0/nir41wNduu9Bc70hAqoJRSZ3wOcBKKH0h5GQ0QJg+KrRijvQ/4GbxYmG6QsCu4kM/CSIMQAlpjUEnQkZA2JyDZ0IXNcBLy0i9p15AQJdWQ+Iex0nAXmqEfqaWOsCLFwtD5EhGQA1wQbYsnyzAHSEDeXaxM0Du0LAYdb0ZwPXdrSzRySPAhWxq6oa3vj/BkUCDTc09wMicwqW+pwxAg94bQwAuQMDBc+/hkp1GQI8y4gLQ4EHALQsm/ijSSEA+raI/NCtLQAeXjjnPFD5AgCvZsRFkREDz59uCpT40wGiR7Xw/mUDAz64xnvelFcCnyTH+IrUbwHugFRiyFkfA9FFGXAAWPsD+YyE6BGI8wML7qlyoTkZAlBeZgF/zM0BO8iN+xQI7wFnH8UOlxT3AhxiveVUPKUDDRlm/mXxEwMSvWMNFiklAi269pgfFN8Cqm4u/7Xk0wPAbX3tm2StAkPXU6qvzLcAF/1vJjh0pQMKgTKPJqUNA+wJ64c49R0AUIuAQqkRGwOknnN1aSEbAqMXgYdoJSkDEdMacDPsZQI7qdCDrcT/A8U6Z9ij38j9oW80644s1wJj6eVORwkVAV7JjIxAjRUCUMxR3vLkiwIelgR/VGELA1a2ek97vMUA4bFuU2fA5wCCb5Ef8zjhAwVYJFodbQEAL0LaadfY8wBBWYwlrwxPA2cpL/id3P8A5mE2AYTNDwGX9ZmK6tDzAwXCuYYbOQ8C9cyhDVT5CQHWy1Hq/hT3AJ8Cw/PmWF8BmguFcw+5EwDbLZaNzRkbAv2GiQQoiPkBweEFEaholQBPtKqT8DDVA80k4PqR5A8Bpb/CFyYhAwITtJ2N8fDpACKpGrwYwIsDmz7cFSyU0QMB4Bg39N0pAGZC93v3jR0DcDDfg8383wCKunL0zAk9AxofZy7YrJcC6LvzgfKoXQHjRV5BmvCJAYcQ+ARRzQUD+7bJfdyJAQJiG4SNiwkbAuWuuPy4uFUBqZ5jaUrc5wKSP+YBALz1AWDSdnQy+RsAgfv578CZAQIgRwqONhzrAGRu62R8kNUAguqC+ZRo9wBbfUPhsLTRANxrAWyCNRMCDTDJyFgZEwOoe2Vw1G0DACLEzhc47RcAWF0flJhojQBaw0/69ShVA8G5lic56IkCkVpi+12RDwB/wwADC50rA/FBpxMwuPkANq3gj82RAwPORlPQwNBXAOrAcIQOxQUCA8Qwa+uMyQA0dO6jEbTtAFHgnnx5LPMAQXVDfMks7wO1SG4PrXci/tW0YBcGTFUCu8gTCThEoQEIo7+NoekLAP64NFeM0TkDQ7pBigLJDwJGcTNwqYDFA34rEBDXkMkALnGwDd4AYQCKmRBK9rCHALT4FwHjgR8D7sN6oFZYdwNqs+lxt9RxAfa62Yn/fQcB5HtydtdVAQDXPEfkuLS1AkbbxJypLNkCz74rgf3lFwBBwCFVq1izAoAJgPIPCP8Dc9Gc/UkxBwF1qhH6mzjnAUvUrnQ9XMkDUK2UZ4mAyQMXleAWi3zZAkq8EUmKfIsB55A8GnjcxwHQg66nVFytAHSCYo8dnOkDgvg6cM8hJQCC3Xz5ZrTFAOv8bID1qAsA0pIriVXY5QDJWm/9XXTTA6lp7n6owRMDMtWgB2hRGwKJESx5PIUhAy9b6IqGBQsCN8PYgBGhDwIzbaABv8TNArweT4uNxQUAFUfcBSCU4QJMCC2DKCDJA3L5H/fVKREDw7m2f+iQfQHBdMSO8JRnAp3Sw/s/ZJECwj05d+XRAQNMwfERM/TrA3Xu45Lh7QcCNgApHkH4zwFRVaCCWIUNAqi7gZYbNJEB+qZ83FW06QHZUNUHUW0XAaMpOP6hvM8CVvDrHgGg8wDxp4bIKqxBAZ3+g3LYhQEB01qcck29DwLbaw14osDJAGjOJesGPMUB24nK8AhVFQHtntFVJfCtAuOS4UzrMQcB+qZ83FUFCwIPj6OBP8x7Aui784HyiMEBNEHUfgO5DwB+94T5yU0XADqMgeHwrFkCzklZ8Q2VAwB6rlJ7pVR3AOQt72uEzQcAPYfw07nUhwH2yYrg6yCdAVG6iluaeIcBW8NsQ42UTwEHKPn4lth5A8j/5u3eYRcAYPiKmRKpKQCv2l92Tm0TAW+WuyioR3D8drWpJR4klwG/ZIf5h+wfA5KCEmbbzOsArFyr/WmYRQILknUMZSkPALvTSXo7YF0CHMlTFVOohwIwTX+0oTipAobskzoqYE8BB7Vy9L5Pev0tUbw1s9UtApIy4ADRWScDutDUiGHs9wBnerMH7Bj7Ayqze4XY8PkBwBn+/mC0SwBy3mJ8boE5ACl8EMuDR6L+OzCN/MBpIQAtgysABBT5AX5fhP91QTEDjMQOV8SdEQHDTn/1IOUPA9WkV/aEBIEAiKp7EMawBwEAYeO49HCdAFM0DWOTfNcDHE0GchxczQG8p54u9NxBA0hxZ+WX4LcAG8YEd/x09QLph26LMJi/AJA7ZQLqMNsDwNQTHZQwqwNaLoZxo7UTA+5Y5XRalQsAEH4MVp9oEQHfkoyDTNQVA1ZXP8jwAO0BcMcgCyzYWQLDpQUEpLjJAbvdynxy1L8AOFeP8TQhKwKtDboYbpE1AaF2j5UDbMUBHPUSjO1A0QOAPP/899ClAjJlEveDDTcCwwi0fSVFMQKUUdHtJ90DAILWJk/tdI0DUSba6nGI4QGMMrOP4oSVAqZ83FanQKkBVNUHUfYg3QGWp9X6j+UdAA1q6gm3EBsBoPBHEeYxHwDW/9bx2lBdASBPvAE86PsDzd0pipDodQNgP892Uj+m/U5YhjnVNR8Act5ifG9o+QOy7IvjfqinAMLyS5Ll6M8DGa17VWSUnQLUfKSLDDExAIZijx++lK8BRFVPpJ/wZwLK+3IIA9O2/O8eA7PVaRUAtB3qobVsowDvj++JSg0XA7zmwHCG7LcD1KcdkcWM2wB5v8lt05khAStHKvcDUEEAhJAuYwM0ywDY3picsSTXAr3rAPGR6RECJRvPXlsfKP2ajc36KNzrAkYsghDa/C0BXB0Dc1atBwMVyS6sh7UDAnE1HADczI0BMFvcfmT45QBmYcEPnMADA1zTvOEWLO8BFuwopPxElQFab/1cdETrATfOOU3SUGcBtx9Rd2XVIQJQvaCEB4ULAU5W2uMY7OMDbUZyjjhI3wI2chT3t+kRAwRpn0xHIIsBsJ0pCIgFFwJG3XP3YXEDAJcy0/SvVREAw205bIxY9wBXkZyPXiURAiNo2jIIoIcAz+zxGeWo5QFp+4CpP8CZAMIZyol1lN0A/yLJg4osgQL6JITmZlDRAQsBr4cOGFEDD19e61DgjQA1v1uB9IUZA/W8lOzaiTEBYG2MnvLwyQPw5BfnZeDvA3zE89rPwJcD0biwoDKo1QKt3uB0aejDA4IRCBBweScCf5Xlwd/JAQAthNZawVinAXeilvRypHMDQCaGDLpkowPynGyjwsjjAyDuHMlQ9L8CWc870t2n7v4OluoCXqT1AxryOOGSDG8AFx2Xc1LgyQPd6UoHubhPAqob9nljTTEARiq2gaf0sQCxNSkG3xzxAEL+smjFW1r+FkzR/TL8ywJgR3h6EfErA6E1FKoxlTUDsbwnAPzlCwC1fl+E/pSJAcoUcABbGH8Ds9e6P9ypCwH3ogvqW+TBALCtNSkE7QcCE8dO4N/crwHV7SWO0kj7A8Il1qnxHK0BTQrCqXsYsQMJu2LYomzzAndfYJapjRkDTTPc6qQM/wPBpTl5kohRAolwav/CEQ8BYbJOKxroqwIv8+iE2PkdA2lVI+Uk1RsDrqGqCqA9JQNF6+DJRxCTAnyCx3T3SR0AgY+5aQsY7QATPvYdLZi/AE/JBz2aFQUCaQXxgxx9DwGZqErwhST9AiEhNu5jiPMAgQfFjzI1AQAUYlj/ffi/AeLgdGhZnO8AsR8hAng9EQIEk7NtJQEfA6KIh41H6R0Bo5V5gVug7QCWVKeYgnD7AflTDfk+gQEBFPMihNGoaQHar56T3rRPApaXydoQ7P8BqTIi5pLY9wDL9EvHW2RrAmEo/4ezmNEBLzok9tCVCwNsu2R33uh7AU14robv0M8AH0sWmlZIdwF/Tg4JSKkzAHqUSntAzM8AX26SisdZGQK62Yn/Zb0bA8P/jhAmjLkB8XYb/dFs7wDpf7L34Qj1Aw/F8BtTXMECHTs+7sTRJQF2+9WG9CTDAhfBo44j1Q8BAFMyYgk0ywBqiCn+Ga0XA17MxwE82HMCZEkn0MmJLwHAk0GBThzJA98ySADXVHMD4cTRHVp4iQL3EWKZffjBAmIqNeR1x8D/XRjzZzfQrwP37jAsHchzAQUZAhSNMO0AwRE5fzw84QHalZaTeqydANs07TtEVQsBW98jmqpkiQIb8M4P49EvAmSN1TCdD/r//Qo8YPd81QDc10HzOWTLAoRNCB13ONcAXE5uPa1MVwCkiwyreSENA0yzQ7pBSI0DsOel942c/QH14liAjLERAtd5vtOOOI0DWHvZCAa9EwLH4TWGlBEnADT2cn2Zx0r/GwaVjzqNFQH51VaAWi0jAswQZARXuSMBq9dVVgTIuwB0EHa1qSSLARdeFH5z/FEAFqKllaylLQHobmx2pGjTAzH9Iv339PUDr4jYawCcyQMFz7+GSMzdAAoI5evw2SUAy5q4l5LM7QGlRn+QO4yZA8JdggmTrFUBFEyhiEdstwA4PYfw0vjRAKPc7FAWqOsDvxoLCoBg6QD7841pA6t6/KQXdXtJ2R0COMFbljLIJQKj7AKQ2mTRAB+i+nNkuOUAot+171Kc9QAWFQZlGRzNA0D/BxYpiIsDDE9W2vA3wP/DhkuNO10DAwXi8f+L2G0CtJpnmZ5QNwHjWbrvQDAdAejnsvmP4NUC66kuAqyYUwLzA9t2+KB9Ax7lNuFdmJcDZmZ2gqGcFQLIeCNoubgXAMPHLiQt6uj+Z0vpbAi5EQGvT2F4L/jbAkV8/xAaDKEBY/+cwX5ZEQC71oF74mtu/kS+hgsM/TsCfO8H+6zwxwGH6XkNwsETAgVziyAOhHECxS1RvDSQxwPwwQni0cTzAtmPqruzCIEAyxRwEHetAQFtj0AmhIyBAPiMRGsHeJcCKG7eYnwsrwAL0+/7N6zfAYR6NnrbhA8AVcqWeBbk0QDlf7L346kRAZOlDF9T3SED5pX7eVOA8QGt8JvvnMSrAx6Lp7GTAOkC5/l2fOTM1wAu3fCQlPSjALBA9KZMiLUAmVHB4QbQ8QIhFDDuM9TTA8N5RY0JcKsAeFJSilVNAQLMLBtfc0R/AIt46/3ZpN0BT/loDAGwUQM9IhEawWTZAar3faMcNEkAujV94JUk2QFYJFoczx0LAGEFjJlFPM8D3rkFfekcwQPhT46WbjEHAoWKcvwlNRUDQYb68AKFGwMxetp22pjfAmgMEc/RoQ8AknBa86K1CwCsaa39njzVAugVcoVmjEMA7rdug9s9EQB/2QgHb0TPAIqZEEr3YQ0BpjNZR1SQ2wH9lpUkpyBvA5pSAmIR3NcCu1/SgoJweQADfEiXG5wjA38Mlx502R0A0Ymafx2gwwFWi7C3l1CTA7NgIxOvOPUBvLZPhePIzQI5XIHpS0jnAFK5H4XrkRcAzGvm84v9FwCTXTSmv9RTAuAa2SrBgN0BIxJRIomtGwBxomaDhsBpAQOd/A6SHAsBO1qiHaJRBwKVChp9J7AjAAKlNnNxLRcCRvw9iwrsSQJGZC1wey0ZA/sQSIFRDBsCyg0pcxygYwFhRg2kYdi7AbeLkfoeuRkAiiPNwAsMhwEsfuqC+ZTFAyLJg4o/uScD9hokGKYApQLFgLB29+xjATQ00n3MfRsBXfEPhs5NDwOQiCKHNyxLApYY2ABtYOkDXMEPjiaxFQJUO1v857DdAuazCZoBLK8CyvKseMINFwAN4CyQoGjZAJ6JfWz/dKUBxK85ic/8QwKz7x0J0LDzAxLEubqPJKUAC1xUzwksUQB9KtOTxHDlAEodsIF0oREC+++O9atk1QOkI4GbxwiHA+Yvqvq2VHEBJYd7jTOdMQGWqYFRSpwJAv3lx4qt1KkA0X8plSBryP5xoVyHlr0dAmPkOfuJCR8AIPDCA8BUvwF3X1B6bcRDA4UVfQZrdNcAj2/l+aphFQMyXF2AfFT3AfqmfNxURNMDT+lsC8ClHwFiOkIE8HzfAh2u1h70sO8BNbamDvFRBwHKG4o436SvAPWh23VulPsDQLAlQU3NKQF8M5US7PjXA81Zdh2qeOcCimLwBZvYgwPPn24KlKkDAXol6oJlQkD8oSddMvsk2QFbUYBqGXybA5aK1/YZED0A8rTZaac0PQLJK6ZlemiTA16iHaHQ7Q0BmoDL+fWJBwLxcxHdixkDA6glLPKBESEATLA5nflVGwNl22hoRhDRASMX/HVGbTEAeozzzctgswJsg6j4Av0bAKGIRww4zOUBrD3uhgK9AwMpqup7oCjLAVfJWAs6PFUDaykv+JzFKQI7B1ODHEhxAVDTW/s52SMCFP8ObNcQxwDtxOV6B6khADXGsi9vYTkCmm8QgsKxNQGcrL/mfNClAZmoSvCExNEB2G9R+a98mQEpkH2RZ2kbAvhOzXgzhR0C/79+8OD0xwNU+HY8ZiEZAJxJMNbN2H8BoP1JEhhE0QDrq6Lga0SlAeAByX1pW5L/vxKwXQ71GwMQI4dHGoUNAtoR80LNhQUB481SH3IRKQAH1ZtR8RStA26Z4XFRbPsCgxr35DSM6wJ9zt+ulKQfAHTnSGRi5MECz6nO1FRs4wOm3rwPnKD5AlhpG5ja2CcCYUSy3tMolwKyt2F92JyXAC1wea0ZuIMDzVIfcDJ9DwL/udOeJtzvAO088ZwusMcCzQSYZOctAwLG/7J48fDvA/oSzW8sUPkCWlSaloNc3wMJR8uocQ0VABOs4fqisPEBKZB9kWW5DwKhj319OChNASFM9mX80MMAB2evdHzlLwHuIRncQT0LAA137AnpFRsBPzlDc8SI9wLiSHRuBXDTAdy0hH/RoPEAed6XAXfkSwHpSJjW0wSJAS1zHuOIaNMDuJvim6XM2wFH3AUhtVkbAa0YGuYtwNUA/xty1hLRDQCo1e6AV+kRAbaXXZmNpPUDbiv1l93w+wBx3Sgfr50XAUwWjkjrZMkC1GachqgA3QCsYldQJQCpAGLK61XNKI8Ch2AqaloggQJIQQMXM+f4/fcwHBDolQ8AAm2LE9MMFwP59xoUD0UtAwt8vZks+LECrVib8Uus7wMPX17rUuCjA2m/tREm8NEAUnPpA8hY/QJFSv8HN2BDAaK8+HvqmOcAHJ6JfW6MiwMBeYcH9fEXAJL2o3a+yLcDrGi0HeiAlwBRa1v1jaUbAfbPNjelxPEAJUb6ghdxMQCpWDcLcTEnAMIDwoUQLMUB6y9WPTQIsQBnshm2LQipA3EJXIlAFPMCpJPyczPkZQIrkK4GUEkZAXY5XIHr2OcDrruyCwblPQKlr7X2qgj1AexaE8j5OIcCAQ6hSs2dFQI54spsZkTPA/uhAe5o4/L9wkSABSAoXwDBinwCKMUVACks8oGx6LkBWn6ut2A8ZwKvKviuCRyfAaaz9ne2RQ0CS6GUUy6VHwB7ec2A5KkDAf9WRI53xL8Ca6V4n9U0/wELsTKHzKhvAZM3IIHeRQcD4/DBCeKpDwK5kx0Yg3kvABYcXRKQwR0AFOShhps0CwGe9GMqJTjtAvkf99QqbF8Cjj/mAQC8owPcGX5hMzTLApyOhqa4uyj9KJxJMNUMnwHlNWZdkLrS/fSQlPQwVSMDuWkI+6OFKwFJlGHeDkCfA0xD6PsHSGMCs56T3jY8QwBxaZDvfP0rAW7Iqwk3+MUAOpmH4iIhLwOC04EVfaU1ABS/6CtIwQsA89x4uOUpHwFU1QdR96C/Ayg8BLJey979cAYV6+ugQwDuPiv87kidAhlW8kXm8MECeX5SgvzZHwPLCjN/KSPq/RFILJZPTKMCMM4Y5Qfs4QGGiQQqeAhBAdcjNcANmQ8Ag8MAAwnlBwLK61XPSb0JA2uGvyRolJcBDbLBwkh4vQD9z1qccOy1AqMZLN4mxLMARxHk4gSU3wASKWMSwcyvAVvKxu0DRK8A8FAX6RB4SQHl4z4Hl2DrAdQh3wqbJ7L9h4Ln3cE1CwP9Z8+MvhURA0wyponhJP8BU/rW8cr0zwDgvTny190HAsdtnlZliEcBGfCdmvfQ2QKVKlL2lHDzAFAX6RJ7MMkC63ct9cgBIwCHM7V7u4UZA7Ny0GacxKUD7AnrhzrUtQHGxogbTCDJAx2Ewf4WMHUDb4hqfydY3wB3MJsCwGEBA6WM+INA9RcDSHi+kw9VDQO9yEd+JB0HATMKFPIK5R8Bm9KPhlF02wFyPwvUotDZA1eWUgJiQRMCFX+rnTZU0wLjkuFM6UCLAAwZJn1apMMDwKhDib9gcwKW8VkJ3oT/A8rT8wFVkSsAx575BILQXwP1mYroQwy9AtjAL7ZyGIMCfzarP1RZAQCTtRh/zsT1AXpoiwOkxPkBC7Eyh81RNQOjmLP2Vn/y/FqsGYW4XDMBwJxHhXzhKwF5nQ/6ZiShAJKdlWlGJC0A6PlqcMSQqwPDhkuNO9UHAIvjfSnZ0IUDzV8hcGcxBQGa1ZWWgxwHA6rRug9rfPEDonQq455U7QFg0nZ0MFjzADwnf+xuoOcCIvVDAdqxDwJF7urpj0SjAkxlvK702JMBCTqlc8tkewL5isl1GFgfAWFhwP+B1REAyO4veqbAtQEihLHx9/SDASiDKvPqlE0CGkPP+P/4sQE+0q5Dy8zZARKSmXUybNMBeRrHc0tZFwC1zqQDOgRtARg2mYfhwL0CMh/ccWOo6QMI24sluHi/ADHIXYYoSQ8ACEk2giJVGQLuAlxk2EjnAOZUMAFWwLsAnfjEA+c8YQG8PQkC+3CXAiNUfYRgYMUAXZTbIJMs5wGMLQQ5KWDhAHauUnumrRcD5Eio4vIgywLjsEP+w/TlAcr9DUaBLQsAQA137Alo5QJP/yd+9PUZAbi9pjNZhKMAOMPMd/LQ3wMf7cfvlaz5AApoIG56CPsD6X65FC6gjQBAk7xzKADlAqqENwAaoP0DFxydk5500wDMZjuczeCfAn48y4gKUR8BcBMb6BpY1QG8tk+F4lhDAPMJpwYvqMsAjDtlAuvw9wB77OB5cL+8/s9E5P8X9JcB6VPzfEdFIQPmlft5UfEDApkQSvYzWQUBmE2BY/jg2QC/Df7qBzjJAwCZr1EN8MMDiPJzAdFRGQDf+RGXDChNAI2dhTzv8MsDRsu4fC5k5QK7UsyCUZzpA3h/vVStzLMCG/DOD+AAswMe/z7hwUEFAihaPQd1mAkBTIi6l068LQIPfhhivmTdAzE3l/jRvEcAhA3l2+Zb9v9ALdy6MJCDAnRGlvcFRScClDYelgbM/wHb51of1kjXAVYhH4uU1TUCBtP8B1iogQK96wDxkxkZAwocSLXnc/j9Iv30dOKs3QG7Ek93MxEPAF0W0wpnsEMD+Q/rt6zBCwNPe4AuT0ULATDRIwVOgR8CYvWw7bek6wBkAqrhxmx9AB3jSwmUNRUCQ9j/AWvFEQBBdUN8yXUnA8nub/uz7QEAWNZiG4YMiQBvxZDczChfAbc1WXvLfBMAzGY7nMzQ2QCvkSj0L4hpA0HzO3a5vFkDg9C7ej31JQCDXhopxKkNAFhIwurxZIcBI+x9grVIyQLmmQGZnaTFAAWcpWU6KJUAwgzEiUWhIQMgh4uZUiiPAUtkLYCW6BcCKIM7DCXBFQO/GgsKgvALA4ugq3V1fMcAc0qjAyZIxwHOdRloqjyVAZAPpYtPuOkCmPpC8c4w9wE/OUNzxhkTAOUAwR48/ScA08KMa9iM5QFckJqjhDzTAzTtO0ZHYQsDsCbcha3IBwJPIPsiybDZAZaw2/6/iF8C/QUFKaCLPvwMJih9jjjzAj/rrFRa0KcCWfVcE/0shwAKbc/BM2BFAILWJk/v1IEAF3PP8aSNFQMGJjR5kngrA1CtlGeIwRUDoc/+iFZkFwEaeJF0zR0xA/BpJgnANNECjdyrgnls3QJ//Hrx2eUbAoObkRSYQLkBozY+/tBxIQMquD0ZHjQ/AqPsApDY5R8C+3CdHAVo8QMiTpGsm40FA5c2GoXoQ2j8HJGHfTpYpwCGrWz0nT0VArtSzIJRnOEBEpKZdTGFAQJsCmZ1FO0ZAehubHam+AkBCd0mcFUlIQAFqatlaj0xAIeS8/48DPcDYra+/NiwYQOXQItv5sjBAZAETuHVTM8AEVDiCVM5DwNKL2v0qhEDAlBeZgF9DQ8AwFLAdjPw6wOX09XzNMhXAaKGu/4SE/79x32qduNQ9wPJomfuaCw1AVkeOdAb2J0BkQzf7A90gQGHcDaK1WERAWRZM/FHkD8AOdtTinZ0UwDuNtFTeQkDApu7KLhgMJcCKcmn8wps7wBrDnKBN9kFAEjhtISMTEUAcE73nG8z6v12q0hbXuBFAwTkjSnuzHMDLZDiezxglwIY41sVtRBtA12670FzHAECppE5AE2FBQEdblUT2NTXAArfu5qmmLUBxytx8I1hHwLiOccXF2TRA0XXhB+ejLkA3xeOiWshMQHhjQWFQ7kdAysFsAgxLM0DRWWYRiq0iwJ7qkJvhckTAO3cWGA30979b8nhafmA8wDHw3Hu4VkvA5KJaRBSbJUASGOsbmHJLQOy4hr5gtBPAY9f2dkt6L0CJ8C+Cxow5wL7faMcN+zZAC7YRT3Y7KcBnST5+iLDuv/iImBJJ7CjAm+RH/IqFAcDaci7FVUUzQELUfQBSpz1AshAdAkfqMUDeBrXf2kk8QCI2WDhJPztA3IR7Zd66OUDo2hfQC7cWwBhCzvv/SELAngq45/lrO8D0/GmjOo0VwAkVHF4QB0vAG2ZoPBHYRECCctu+R/NKwJ2DZ0KTeDRA0A8jhEdXMsC94qlHGjQyQBGo/kEkf0XAVrjlIym9SUACd48iIYD6v12OVyB6LkXAd0oH6/8MJ8C4tBoS95hDwH6oNGJmNyDA/KvHfatVGMDI9yBfnWYeQIvxBj1A1B5AGckeoWYQNsDCLooe+OBEwBhd3hyuDUbAOqqaIOoSP8A01CgkmQk6wEp319mQPz3A/gjDgCUjTsC3nEtxVRFEwP5LUplimjLAS5NS0O0lN0Aw0ova/dowQDEIrBxaZA7AVACMZ9AkOUDQZWoSvKkqwNFBl3DoLR/ARWeZRSh+OkD+hLNby+w7wLoPQGoTl0lANzI0Q0/3G8BpAG+BBOUywDFBDd/CCkRAd6IkJNKGHsD11VWBWqQyQIums5PBUUXAesTouYW+EcDnUlxV9iFAwHDoLR7eqyLAzHnGvmSzSMDY8PRKWS5DQABXsmMjhD5Az0iERrB5KcBATwMGScc7QC16pwLuoTRA71TAPc+HNUADTxqdBTeiv9ECtK1mzR9AKETAIVSVScCH/DOD+PxGwI19ycaDBTjAZLX5f9WZS8A2lNqLaFsaQL7aUZyjeENAptWQuMfKJ8CNe/MbJixAwGaw84DDVQTAIVuWr8uoKsAaUG9GzQcpwH2W58HdeSDAg7uzdtvdRkB4Bg39E1ZEwPvMWZ9yTEXAWwndJXEGO8A/VvDbEM9HwChgOxix3yFAuMZnsn/mIcA2k2+2uc1IQCL/zCA+lEHAN24xPzfEIkDwpfCg2cFGQIwnJ3+cNfc/GTvhJTh1LkAsPYm+cfgQQKyt2F92uz/APYBFfv0cQ8AsRIfAkapBQBe30QDeEEFAP/uRIjIEQ0DNyvYhb5VFwKwiNx7HQhjAp7OTwVGORcCcwHRat/EqwMEqzZzkzRTAlNv2PeqTPcClTdU9sudEQPj8MEJ47kbA5fT1fM32NkCPiCmRRM8UwA3gLZCgODFAkfEolfBMLsClFHR7Sa9BwA7xD1t65D7AmimtvyWOQsD3kPC9vw07QPYmhuRknjfAgq59Ab2EPkAcQSrFjoYCQN5X5ULlh0JAmtGPhlOWIcC++KI9XkBHwG3fo/560UDAOpLLf0irNUAsrArDNlgKQCl3n+OjuUnABd7Jp8cuJ8Ak8Ief/441wGDl0CLbn0TAHM9nQL3xSkB79yI1SJzsv7d7uU+OQgJAeflCbcDs/D/Du1zEd/ZIQB5tHLEWu0LA+9AF9S0rI8Csp1ZfXYk3wDs1lxsMPTBAdlQ1QdRXQMACYDyDhjZKQOVon9hUZ+o/wBKjQtAs57+UF5mAXw9DwAonaf6Yvj/AmdL6WwLaSMDsLeV8sZMwwDAcY4J1VwnAdklBXN6BB0CtSbclcqk+QJOoF3yadUlA+yDLgolnP8DPo+L/jjAgQGVx/5HpgCBAAruaPGUVOMBcABqlS/8cQNI6qpogDkLA4LpiRngXPUAv4dBbPJwqwNY3MLlRZCFA6rXZWImpO8DGpL+Xwtc4wM30pn3OGAzAAFeyYyMOTUCOQLyuXxAjQI1tCEQ+LghAo4xdR8GY+T9SuB6F61VAQKW8VkJ32TNA/kP67esgJMCAnDBhNKdDwCtqMA3D9zNA6UXtfhXIQ8AB9tGpKzc6wJi4+laQi/u/Lw2yG2wgD0AvpS4Zx8gwQOGX+nlTPUBA0LUvoBfOEMAJM23/yuxGwJKU9DC08iLAbJVgcTizIUAQOBJosFU8wKIL6lvmYDdAur963LfmQ0CTcYxkj1w+wOuoaoKoNzjAZLX5f9X5O0BvtrkxPXVIQM9nQL0Zb0ZACCC1iZOTLECN7iB2pjhCwBnkLsIUhUFAr7DgfsAtTEC6N79honU+wKrZA63AmD5A/3Vu2oxbO0Abdim/VpPQP/fq46Hv7kVAFXXmHhK8TECI3Aw34Js7QOhLb38umjbA48PsZds1PkCI1R9hGLxFwKpteZvtwM0/E36pnzeFOcDZkeo7v2xGwBy0Vx8P+SDASUxQw7d0QsCZRL3g0yQpQL5qZcIvGTTAliGOdXFjR0CwrgrUYmArQPpEniRdo0VAn9m//F8vCcAabOo8Kk4iQNVz0vvGWUHAQgddwqEHIcBBtcGJ6NcNQLuAlxk2ui/AG0V7YddDGEDTDm4hfpT9vzC8kuS5DjfAFMyYgjW2SEARqz/CMCw1QDP+fcaF20nAXeVkPRB0DsAyVpv/Vy1AQFG+oIUEvApAp1zhXS6ySECc9pScE+dFQIxPATCefUXA1R9hGLB8J8BDOdGuQmo6QIB9dOrKrzXA+64I/rdgSEAGnRA66OopwC4cCMkCTjJA3IE65dFlI8AdrWpJR+EpQAuZK4NqVUBAQgx07QugKECH6dbGM8P5v+wwJv299DLA8FF/vcKsRkC2LjVCP3VAQFHXf0LiKx1AN8MN+PzwQsCUh4Va02A8QLDpQUEpXkLARtREn49CGUBmqpr/21WHvzZxcr9DKTdAA1yQLctnKMB/UYL+QglGwBlcc0f/1z7AfhtivOadQEDS5903Qq/NP4EmwoanKzzAqDrkZriBJUBC7Eyh8xBGQMmRzsDIjzNAGeqwwi1nQMDMlxdgH9k4QNA/wcWKRjhAmbuWkA+aQcDc3JiesDQkwJz/Vx05RE1Af2WlSSkoQEBslPWbieU2wIiE7/0N1ElArkm3JXJ5NsBPXmQCfnVDQAJIbeLkRktAtD16w33GRkDgfVUuVFYqwE+qfToev0pA3H75ZMXoIsATX+0ozmEUwGcN3lfltjHALV+X4T/NNsCoxks3iflCQIeNsn4ziUXAJYXDHE76FcAlCFdAoTI3wNT3GoLjgivAWyvaHOesQkBHW5VE9iEQQBgTrLvDJwTAmBdgH522Q8AOvjCZKuAkwI5aYfpekzxAWMAEbt39K0AEcokjD8ZIQLCzIf/MdD1AGGAfnbpYSEAAzSA+sCseQHPYfcfwoDvA61c6H54RPsD5254gsU9BwFDkSdI1az5A5Pp3febMOMAbgXhdv+gZQJZfBmNEyEJAAfVm1HyNIcDxOiweKGERwCKERxtHYE1AFK5H4XpUNcDVeOkmMfQywG2TisbauztAdO/hkuN+JkB8SPje3yZDQC2azk4Ghz1AqKlla33FQcC5VRADXWNBQAaGrG71dC/AfhghPNqsRMBeZ0P+mXVCwPAYHvtZ7DXAIH2TpkG1P8D191J40GQvwJS/e0eN+TRA8BezJaumPkCbkNYYdMIhwAfOGVHaoyTAPX5v058VM8BZbf5fdewowLvUCP1MAUZARfMAFvnVBcDD1mzlJQs6QGifIuJBxhJAt0YE4+A8RkBClZo90PI0wMWRByKL1ClA56ij42p0N0Bt5SX/k3tAwLUfKSLDOjpAEcKjjSOqQsAZeO49XIhLQJ9TkJ+NaERAqhCPxMs7IMCpiqn0Ew4pQBwIyQImhEdABJDaxMmFQEBRFr6+1jk/wLqj/+VadDjA6bKY2HxoRkArL/mf/CUlQEm5+xwfo0HAO+C6YkaIEcBA176AXrQ8wHHpmPOMZSZADqZh+IjkPMDciCe7mYkswB7DYz+L9RpANIC3QILaP8D3lnK+2P9HQCuE1VjCtjVA7J+nAYNaQEAg14aKcfJAQIFgjh6/VUNAMLjmjv4fKsDgvg6cM2o1wDVHVn4ZTklA+1dWmpRSPMAUJLa7B9A0QNLQmno4bA5Am+EGfH7iRUCh8xq7RAU1QDxwKUJFmBDAq0xjQYLe3b/BPjp15fMtwH5XBP9bwRfAS3oYWp1AOkChgO1gxH4mwCfeAZ60zELAyxXe5SL2QsDSPIBFfpE8wHb3AN2XCyBAe2XequvwKMDA54cRwidIwEWb49wmlDfAUP2DSIa8B8C8eapDbrxDwCjS/ZyCXD/AFTlE3JzuMsASS8rd52RHwDdhsTz+4R/AQIaOHVTWNUA9TPvm/rIswM++8iA9lS/A8ikAxjNYLMAczCbAsNhOQC196IL6aEbAQYLix5hrMMDvxoLCoIhDwGt+/KVFRTHAP4UjSKVMPMAuVtRgGuozQL6ItmPqMk9A9I3onnVzRcAIza57K5onQAs+zcmLvBnAaM2Pv7Q4N8DD8BExJXZDwME3TZ8dEEPAoG6gwDv9P8BAr4kW6vr0vxBgkV8/nELAC3va4a/dRcATYcPTK7UTQCNOBssBUKm/+fTYlgGXGEBSL/g0J38WwDkKEAUzhiRAeA360tvHJ0A2Bwjm6HUywMfWM4Rjhi3Ae/fHe9WuOMDWyoRf6gtBQJvJN9vcpDlAf74tWKq/MEC3Hb9cMMUZQAux+iMM+z/ApBr2e2IlKMCMKVjjbKRIQNfc0f9yEUvA95LGaB2VR0DgLZCg+LdAwPsMqDej+j3AmDJwQEvfJMDxhF5/EqVCQGBa1Ce5AyjAK2haYmVEJMBaFeEmozotwGDl0CLbPUVAnKVkOQmxOEAEG9e/6086wNmyfF2GIUxA98q8VdfpKsC4BOCfUvlBQHk6V5QS4ilANk9knHUMB0ABnUmbqiMuwILknUMZDknAGcxfIXN1R8BK0jWTb74zwOGX+nlT7U5AoL36eOgbLsBCYOXQIodEQLKiBtMwjC5AVFp/SwBeGEDaN/dXj6M1QOxph78m401APUfku5RiO8BHOgMjLxdBwJoLXB5rqjbAab+1EyWZL8B3Z+22CzVHQOAoeXWOGS1AJ5lBIac0C0C05sdfWnxHwIYahSSz8jTAdA0zNJ6IHsCYio15HWU7wO7PRUPGsz7Aw0MYP41RREC4QILix4BFwAr2X+emdSdA+ziaIysTNcDDDfj8MBBDwKkwthDkMCPAavrsgOvwREBIUtLD0A5FwFcG1QYnbjnAuHpOet8wJECfVtEfmi1BwAIPDCB8+DVADqX2ItpsRMDHT+Pe/B47wOOL9nghdTJA0CozpfXjM0BoEZvZ+D0EwKVN1T2yESxAVrYPecuFO8DrdYvAWMdHQJIiMqzicUVAPEm6ZvK1QcAiOC7jpoBCwCtKCcGqlj9AbT8Z48MaQMCDU3oBUasHwM58cyQ8xv8/oLAfvTy4FMDnkT8YeIpKwDV9dsB1WTDAXoB9dOp6OMBDVUyln8A7QMvZO6OtAiPAAYqRJXPENkBnDHOCNqlIwJ/sZkY/7jrApcLYQpA7JkAZNzXQfBYrwHSCNjl8gjrA/AwUHW50HMCbG9MTlgxBwPG3PUFiezlA6lp7n6pUREAmqrcGtlpEQAVTKGYYsvo/uE4SAT3zGsDDDfj8MFpJQFIrTN9rXELAqMtiYvPZQsCtaklHOcgtwD9t2N+nBOM/igCnd/E6NUDEsplDUkstwLByaJHthCRAXqPlQA8NREChwmxdxRUUwGdJgJpaSkDA1a2ek96jQcC+w+3QsFjhv+y9+KI9pkDAH0jeOZQRKEAbfjfdspMKwEoKLIApZ0DAPujZrPqUQEDrq6sCtTg0wJXx7zMu3DjAMbH5uDa8OsDMR1LSw+AqQG2sxDwr+0JAR1uVRPZZPkD0hCUeUGJKwOZd9YB5NkbAbqXXZmN1GMAeQHVixV8DQCDXhopxZkBALNSa5h3/JcC7RPXWwBZDQNdMvtnmKkJAhXzQs1mlI8Dc1haelx44wL6ghQSMOjHABM3n3O0aJkC3C811GrEzQLEcIQN5/j3AF5HN+jlqBsAfhIB8CRtGwBv1EI3uOErA1ejVAKVpM0DkamRXWsYowIFFfv0QUytA2ht8YTLzSkBo6+BgbyJIQKeU10rohizA0R3EzhQyNUCpTDEHQZciQFa45SMp10hASbvRx3wEOkAHms+523UIQEpkH2RZ7kRAN+DzwwinRcDf+rDeqAFAQN+gYkEGNwVA+YOB596TRMBd4PJYM+Y3wNV46SYxMDbAZYo5CDo6LcDthJfg1OtEQIFgjh6/nxJAmpXtQ97MREBWl1MCYuJHwCoCnN7F8z7AUFJgAUw7RUC2K/TBMnI1QBo3NdB8JilAk+F4PgOKSkB7gy9MphJEwFOvWwTGGgRAOE/QgUAKFUBYrUz4pf5JwD6zJEBN20fAT64pkNmpGUBv8IXJVOE/QH0h5Lz/MUJAGSDRBIq4IkBSK0zfa7QwwF3+Q/rtq0fA3bdaJy5PKcAtQxzr4u40QPs+HCREg01AVaAWg4cZQ8BEh8CRQNskwKN71jVahiRAdZMYBFYCScDoacAg6XtDwH1Cdt7GniDAorlOIy3lKcADeAskKCxBwDGbAMPyZxVAeCefHttySUBozvqUY6osQB/VsN8Tc0pAJ1DEIoalMMA+daxSeuYswNuF5jqNyDpAurn4256+RcCKE07B0FkYQKyvrgrUOiTAELQCQ1bHRUAXC0Pk9DE7wEaXN4drOTlATX/2I0UOQUDyzMth9z0UQGiyf54GakNAHHqLh/csMkBS9SudD69CwL2qs1pgTyPA0F0SZ0XMNUDQY5RnXkYhwFjEsMOYmkBA6Pup8dItQcCG4o43+U0QwKwXQznRFkhADPUFPlCYCcCorRHBOGgowFRweEFEgkZAi2zn+6mBKMCl+WNamyYswCuKV1nbdDBAYfiImBKdOUDTFWwjniA5wIp3gCcteD3Anb0z2qpMPkCxTSoaa5M2wPksz4O7m0PAKEcBomB2OcBNT1jiAaFGwAr2X+emCTdA1q2ek94PLUDWWpiFdm46QIYCtoMR2zDABFd5AmF/M0DcgTrl0QU3wHdLcsCugEfAshTJVwJpJUBPOpFgqtkvwCxEh8CRSDrA0084u7UQNsCGWtO841ZAwOmC+pY5MUXASJ6QQv42F0DvkGKARNsowHVyhuKOTUnA7kj1nV+cLsDEJjJzgbMsQN6vAny36SrA31LOF3vHM0DIJ2TnbSw+wCcs8YCyRTdAtW/urx6HKcAfMA+Z8r0+wC1i2GFMbj/AnN7F+3G3NECEC3kEN2ImwF3g8lgzejnADr4wmSokRUBXc4BgjiotwIiE7/0N/EPAfZBlwcQlScBb07zjFI04QNmR6ju/4C9AuECC4scgRsBangd3Z/0pQMOZX80B+ilAKzI6IAnLN8Cf/x68dn1DQAbVBieihyfAQs77/zjJTUB154nnbLEnwKtf6Xx4ckhAHZJaKJm0PcBt4uR+h0hAwKHZdW9FIijAkKUPXVA3OEC93v3xXsUVwBbkwtxJHwrAzlKynITSRMBQwHYwYh8uQLE5B8+ExhvADB8RUyI5K0AJNq5/19MpwGglrfiGCibAsoLfhhi/PkAT5iyi3Kz7v9gIxOv6XUvA68N6o1Y8S0BQWU3XE30uQBeE8j6ObipAf2WlSSkgQEBJDW0ANqhAQPT8aaM6E0rAoyB4fHv3IcDD8BExJUZAQPgXQWMmKT1A4xjJHqHiScA/wcWKGuwvQIf8M4P4CEnAuynltRJiJcAQkT+9vkMawH3mrE85lhVAjpQtknZbIMCqm4u/7a04QCKVvQBWouY/1VdXBWrpOkBKZB9kWegjwBU42Qbu3DFAAgzLn293MUCsG++OjNUfwADHnj2XKfA/ZoNMMnLuMMAJjsu4qXErQBWMSuoEIEfA8Bge+1k0OUCHYdG+A23rv/miPV5Iy0dA1EM0uoMUPMAUlnhA2aQrQFKBk23gBiFA9+rjoe/gSEArpPyk2utAwJeMYyR7NAxAcVXZd0UgM8DajxSRYUUywBFvnX+7REvAf4EgQIaER8CHjbJ+M8U5wEljtI6qmkjAaR7AIr/mSUDoLomzIioswEpkH2RZ/ETAvmVOl8V8RcC8lpAPerpOwNujN9xHDENAZLDiVGtxL8CchqjCn49CQIAqbtxiSjBA4xjJHqGuM8Dg4SzbPW/7P+Y/pN++PjXAb9V1qKaMIMDSWPs72y1IQF9BmrFoXkRAMc7fhEJsN0BmLJrOTtJFQCpTzEHQD0PAoZxoVyH9QEDqCUs8oOpEQIXSF0LOwURAJP4XvnSpGMBHyECeXZRBwJ7fQf14eRTAE36pnzcNNkANjSeCOA1EQAVUOIJU5j/AGNLhIYynOsAqdF5jlwg5wKcIcHoXAz7AC2DKwAGNKsA50a5CyhcswGCqmbUU0BzAIt46/3ZhSsAHz4QmiSEywGtFm+PcYkLAEQGHUKVOQ0DbpQ2HpTknQGHfTiLCrzJAd2aC4VxRRMC1lhP+VpwcQO2yBL5HOh3AVDcXf9trR8D/eK9amZBAwIaxhSAHJTtAsFbtmpA2PUCVRPZBlq1AwFqdnKG4PUZA106UhERCPsA52JsYkh85wCmRRC+j6BFAeedQhqoIEsDr501FKhwzQCU7NgLxmidA+wJ64c41KECGXKlnQZw1QFSOyeL+o0TASzygbMpFJ8Bm+iXirVslwHIW9rTDW0lA1XlU/N8XSEC+ofDZOqQ/wCuoqPqV2j9AbJc2HJYWNcC0PXrDfcwwwEDggQGEg07A8UV7vJCqMkDonQq4510+QCnLEMe6gCTA4hQMnY0rG0Doaiv2l1lBwBOc+kDyIEfAlgm/1M+7IMA5ns+Aej88wCQNbmsLDyTAJHsp4a7rGMCwcmiR7RxBwEuTUtDtFTjANZvHYTCTTECbZJqf0QwZQDJaR1UTlDhAl6sfm+QfL8BtADYgQrwoQCoV+ZqKmQbAgRlbIQ+x1L/P2QJC689BQJ8hHLPsMS3Avd798V4dMcCfPCzUmhZFQHg+A+rN2CzAf9x++WTJOEC6YduizMxNQJRqn47HrB3AEjXR56N8HEAi5Lz/j3sywKFl3T8WkklAu37Bbth6QMDueJPfoiNBwJ87wf7rsD/A5+Ww+46hAUB/hGHAkpsAwL6ItmPqxENAIgIOoUodJcAbutkfKLsgwPhqR3GOcifAnKp7ZHOxMUC4mJ8bmtIBQB0+6USCNT/AUkMbgA0uQMAGSgosgBkcQNwqiIGuqThA0Px7OmiA/b9xyXGndOw9wNl3RfC/9TpAasGLvoKwPcCDM/j7xRxBwGMnvASn/j3AppvEILDARUBr7uh/ub4zQIYdxqS/JzzAoUW28/10RUCVmj3QCiw1QMkCJnDrrirAKGIRww4FRsAdjxmojJ9HwBA5fT1fg0pAb/QxHxCQQkA/1depqDDVv/vnacAgL0xAEcZP4956RMD186YiFcxGwMqYzMLokxJAcQM+P4zcOEBi1LX2Pg0sQPdBlgUTVzrAqrwd4bRsNEDX17rUCPUrwESkpl1MWzTAl5LlJJRuMUBRLo1feH1MQBToE3mSSD/A0O0ljdFiTUBLXp1jQDYfQJiEC3kEazHAByY3iqwNJEBZar3faJ9AQKzLKQEx30RAQDVeuknMO0At7GmHv8JHQDLJyFnYJzXA4sgDkUVCKMD/eK9amYAzQMNn6+Bgq0nAZg+0AkOUTcBDqiheZakwwASTG0XWWi1A/nuVITNkEEAH7GrylC0hQLN9yFuudiVAYokHlE15PsDu5xTkZ087wOlDF9S3FDhAvcYuUb2tRED0Nctlo48ywGq+Sj52ZxbABOJ1/YKXRUDyQjo8hEdLQLiumBHenhzAh4+IKZHwSsCzlCwnoUg4QHXN5JttJjHAf8NEgxSUQ8DqHAOy15M7QLu6Y7FNGhdAT62+uiqMMcDyCG6kbJ00wP2hmSfXNAlA/vDz34PjNUBTP28qUp1IwKTk1TkGlDfAbw1slWDJMMA5DVGFP9siwGVTrvAul0jA2lTdI5uLGEAukKD4MfY8QKg7TzxnyUpA/iPTodP7SkDMzqJ3KhA7wEs6ysFs5kNAchWL3xRuQsDspSkCnBJHwMBAECBD40ZA3q8CfLezRUBBd+7iorcWwFzDDI0nYg5AAVKbOLnPM8ARje4gdro4wIVf6udNYUBAiujX1k+XLkAqkNlZ9P4BwD50QX3LvDRA1xTI7CwCLsBbQ6m9iAxDQI4IxsGlnzfAT6p9Oh7fQMDBqKROQFNEwKWcL/ZepCdAjC0EOSixQsDFjsahfg83wNMbSd0pCBNAFDyFXKm7MsA8aHbdW71CQEjElEiix0fAj26ERUW0OcCRuMfSh5JAwINRSZ2AzkPAyIDs9e63PcB1WyIXnEkqQKcjgJvFAzlA+9waIrjLHMBIFjCBWxNEQFAWvr7WfTHAIsMq3siMQcCt4LchxpcxwM/yPLg790ZAmKJcGr9MPkBlrDb/r4owwMAma9RD+EnAmntI+N7fI8B33PC76QhFwBfUt8zpKiNAmxpoPueCPEA/48KBkOQrQAg/cQD9+kTA4rGfxVIcP0DxZDcz+uEVQFPpJ5zdAiJAfjhIiPL9PkB7bMuAs6RFwHgI46dx2zbA00z3OqkPM0DJIk28Azw/QEzChTyCfUHAVbyReeTfRUDzpiIVxl4+wLPiCt5GmQnAFOeoo+OYQ0CfWRKgphRAwEYiNIKN90BA2uGvyRqVMED+fcaFA1UwQATvP43WrPw/L5YzJaMU9z+cM6K0N6xAwCNozCTqJSdAttjts8qkKMBr7uh/ucYNQKjjMQOVcUfA9ifxuRNAOMCHbYsyG9w5wK5/12fOqjJAguSdQxnaIkAWokPgSLQzQAu1pnnHpTLAEtpyLsXNQsAhls0ckko2wPd4IR0eXjHAw5bDk4JT9D/cRC3NrVARQE2+2ebG2DJAn3WNlgM1J8BXsmMjENlBQHSesS/ZKCNAV2DI6laXJEBBLnHkgWwzQBKgppat3TXAmPkOfuK6Q8C2LjVCP5MBwKZ+3lSk9kxAVFipoKJyM0Cx4emVsiQpwHbB4Jo72vY/2sU0072OGcD4xDpVvkciQBbAlIED0jlA9WkV/aFROEB1PGagMnxEQHhA2ZQrHDrARnEzgcdc5z/eW5GYoCY7wP578NqlzTnAdo2WAz1cO8D9utOdJ0YsQFYo0v2cyjXAlbpkHCONRsDhp7v8mEAdwCkLX1/rskdAK1CLwcNEOcBJEK6AQmlBQGWO5V31FknANfPkmgKZK0C4H/DAAKpGQLUy4Zf6NT5Am1q21heNSkAzwtuDEDAkQByTxf1HDEZADZBoAkWMPcClTkATYXtEwBrh7UEIECdA6q7sgsF/QMASa/EpAIJAwHDrbp7qkCBA4pANpItNQ8AdVrjlI5kYwPuWOV0WIUHAXb71Yb0XREBGIjSCjeNEwG2B85g3PdY//FksRfJNLUCKebGL/SDwP7Ctn/6zQEbAqngj88gXS8D6J7hYURc0QE1nJ4OjmEfAKSMuAI1aFUCxNPCjGuY5wGgdVU0QeUnAX0VGByTxMkCcbAN3oGYiQFZJZB9kjTdAUz9vKlKRGMBBsm/dg0YbwFslWBzOxDNA/r0UHjSjK8Ac7bjhd9M0QG3n+6nxCkdA88mK4eowMcDfo/56hR0mQHY5JSAmdUBApkOn590YCcDAB69d2ug5QHvzGyYaSDVAILQevkwkSEA2QdR9AHBCwNm3k4jwjy7Ao68gzVisS0CWzRySWpgnQP7Soj7JhRdAFroSgerHL0DxaOOItegnQEj43t+gH0ZAsK91qREaIsC2f2WlScUwwG2l12ZjLS5AkGltGtuLM8Att7QaEvc8QJijx+9tXknA3O9QFOhDT0BMN4lBYO1DwI85z9iXDDhAYvTcQleiI0AVkWEVb0hEQGKJB5RNQTtAgQcGED4UIMB6VWe1wM4jwCZr1EM0nEtAG70aoDQENMA3NGWnH6Q1wCtTzEHQrT/Am8jMBS6PMEBrm+JxUTUhQGZvhKD+jg9A6bI9HwozG8B5HtydtetFQOdUMgBUQUbAsKw0KQWhQECBVIodjasawLETXoJTv0JAJSAm4UJiQ0DMf0i/fd0twFPRWPs7+y7At/KS/8n3G0BuaTUk7i03wBxg5jv4s0FA66hqgqjFRUBmvoOfOMw0wPIaqhid4v+/9HFtqBh/QcC12y401xlEQME0DB8RhzJAyZQPQdUQSMC+a9CX3tYxwCUd5WA2v0PAuvjbniAnRECpwp/hzV5HwIEmwoanDyNATxxAv+8LSEAm5IOezTodQGO7e4DuR07AMsUcBB25OcDH155ZEuBCwLnIPV3d00pA7bq3IjHzTcAy/+ibNA9BQLn+XZ85f0bAI/lKICVuR8A2VmKelZAwQLoWLUDbek7AqZ83FalQREDICKhwBIktwG0eh8H8NUFA8x/Sb193R8CJ6q2BrY5KwD1hiQeU1SbAhX6mXrfUMkDX+iKhLaFGwK9G0V7YPRbAzhsnhXnHIkBlUdhF0as+wAFO7+L9gCFAlIeFWtM4Q8AklSnmIHgmQDLmriXkyz9AvJS6ZBwrOcASh2wgXa5BQDuPiv87UkpAPIkI/yLSTcCL/PohNrZBwK2VGusshOy/Y7SOqiYIR0CzImqizwtBQOwUqwZhpidAC5krg2rXSECfn/NkSN/Tv+2ZJQFqVjDAKCZvgJlVRkD3kPC9v/U/wLNhTWVRTDNAErgaftxDAkB/wAMDCPc3wDP+fcaFM0HAf95UpMKkOUDgYG9iSEI9wC196IL6tjVAyJdQweELSkBq1EM0uo9MQDVeukkMakdAAaYMHNCCL8CNsRNegg9BQAIK9fQRCBJA36Y/+5HCRsAK9Ik8SWI9wHui68IPTkDAfWDHf4HYJUCI83AC0wtCwEq2upwSDkbAQblt36OKRcB2YbVDDUABQHNmu0If3AZAut+hKNB3NsAwhJz3/2E+QNNkxttK8z1Aq1s9J72bPkCASL99HcAgQOF2aFiMwj7Al4v4TsziIcCwcJLmjzk0QOAQqtTsQTXApaDbSxoLIcAeM1AZ/9o6wOPdkbHa1ChAgQabOo+6MMDhC5OpgiE7QLGnHf6a3EbAw2SqYFR6QsDnUfF/RwRDQCEf9GxW5TlAoYDtYMReKMCbV3VWC7QkQFkWTPxRIkXA4utrXWoEMkCgwhGkUhQ7wOChKNAn/kjAsYuiBz6aMcA2d/S/XKNCQMivH2KD9SFAIa6cvTM+QcAyPsxetsUlwEDtXL0vexnAPgeWI2TENcAMk6mCUQtAwLtP6bu2cgzAhWIraFrWMMAJ98q8Ves0QLwIU5RLWyHAX5Z2ai7vJMAD7+TTY9sgwBEbLJykFTPA+MJkqmAsQcCsqME0DM9GwKd0sP7Pw0NALCy4H/CMQ8A+raI/NINKwBb7y+7JoyVAGcdI9gjFKUD3kPC9v7lBwEXXhR+cd0RAOxvyzwx6IkBeo+VAD+9EwERKs3kcsjtAUKT7OQV1N0Av4GWGjaY5QOqVsgxxXD3AcjYdAdzEQ8APKQZINPEowNszSwLUXklALc+Du7PSPMCwy/CfbqQowKabxCCwMjFAAAAAAAAgQEAFNufgmegmQK8NFeP8QUtA4L2jxoTIOsCzmNh8XDdCwO2P5n49JRVA5xcl6C90JcCta7Qc6HVBwLp5mRcWUvu/176AXrjzQcAbt5ifGyoAQKwF9phIYTRAUPhsHRzOTECf5Xlwd1ZFwNiFH5xPtT1AOZUMAFWAPMAOgSOBBrM+QBdGelG7hyVArrzkf/JjOsD04VmCjIQ/QJ2ed2NB00bAFt9Q+GxNLMCbvzIEOvLSv2lwW1t4pi1ACc/f3/s+EkAWtlX/1mQfwM7y4f7IARHAk3TN5JtBR8A/B5YjZGQ8wHDOiNLegEHAw7krYKflHkA+WTFcHUA/QCC0Hr5MZDPABYcXRKToRECWtrjGZzoswBEf2PFfuCpAyv0ORYFeQEBhvrwA+4JAwBSuR+F6WEPAeLMG76tqKcCDpbqAl2k+QGGpLuBlJjPAVoLF4cxPJUA3jILg8TkpwHoYWp2cT0VAFf93RIXaIUBjzjP2JYstQI4FhUGZpjFAmMqRhDOuAEDNdRppqbw5QELr4ctEaSpAyLPLtz5sKMBTJcreUpo+wLMo7KLoB0hA35BGBU5+KkCu36cFirO7v8OC+wEPvkhAMlncf2QSMcDiPJzAdDYowGlU4GQbKDdAGN6blaO2/r/woq8gzaZMQCA/wP/74BLADqZh+IgAPsCQSrGjcexGwMx5xr5k8URAlGsKZHYUR8Dg2LPnMg06wN1B7EyhEzFA8iA9RQ5dOMCUT49tGQggQPzAVZ5AsCjAs1w2Ouf/MMDxY8xdSy5KQJFEL6NYOkXAsd09QPfBPUCV8IRef/oxQLWhYpy/l0FA+vIC7KNDOkC1ccRafEY3QKt2TUhr3D1AT15kAn4NIsAwEATI0EkmwBIwurw5xkjAGoXJ+QdWC8A0MshdhJdCwA5Pr5RlgD3AJyzxgLIxPECi7C3lfMELwJm7lpAPOkHApuMg1zz95z/HZ7J/nrpGQEEN38K6X0PABdo+YPVS7T/xY8xdS8juv6XY0TjU3xpAwYh9AijySsAhJAuYwP1BwMGmzqPityLAvsf0395YG8DnAMEcPTI4wD1KJTyhzUBAQE8DBklHPMB9WkV/aLJDQFEU6BN5giRA+SzPg7u7QkDtEtVbAxstQKLSiJl9piFA/r0UHjRrGECilXuBWWk7wFjiAWVTfkfATmIQWDkEPkATEf5F0Nw/QC1ZFeEmgz9AoYZvYd2sM8AnhA66hAM7wE/LD1zlWSLApUkp6PYSQsBBDkqYaYc+wJxQiIBDLkDAZfYe03+b9D9/h6JAn5xHwPDDQUKUqULABf9byY51McBEuTR+4WU7wEZ8J2a9iBrAllzF4je/RUDzk2qfjoclQLAcIQN5diHAdELooEukPUDp8Xub/iQ2QNxI2SJpOzVAF5tWCoFEJkC1wvS9hiZKQG2rWWd8ryDAYhBYObQQQkDcSNkiaR8/wF+B6EmZdBfAk+F4PgOOPMAOlTWglF8PQGjlXmBWKDzAW7bWFwlJMUCAZ3v0hgMvwDYdAdwsziBA/I123PDhRMAJE0azsi0gwK2GxD2WHEHAcSNli6SNEsAi/IugMZ8mwDgyj/zBRkJAvJF55A++Q8D6Jk2DondAwOVjd4GS4hNACWzOwTOpI8AS290DdOlBQFnLrsW4TA/Aq7NaYI/RSEDj/bj98sEfQLvW3qeqWDLAp+Zyg6EaRMCmIhXGFmY8QGnIeJRKgCnAwa27earHRMCRC87g79VBQIBDqFKzfzfAZhTLLa0GQsC6ufjbnng9wNNqSNxjI0jAY5rpXidVRkAcuAN1ylMdwHoZxXJLMzdASDSBIhZFNUCphv2eWM9DQPx0lx8T5AlA6rEtA86aJUDDQxg/jSM7QOYeEr73ryXAMSk+PiFFQ8Aqrir7rmgvwG9oyk4/WCbA56vkY3cpOUDnNuFemYVAwBfYYyKlN0RAIF7XL9iFIMBhbCHIQYEwwN1B7EyhZ0PAzlTjAFVfEcBtIchBCbVEwKEvvf25KAhApMNDGD8VMMD752nAID9IQIMT0a+tzyVA18QCX9ERO8BtrwW9NwYwQD5A9+XMLi1AFRvzOuJgF8BCeR9Hc3g3wDUjg9xF+DzA8iTpmsm/MsBIuUWqOQr9P+4JEtvdIzRAXwzlRLtOS8D7kSIyrO5BQOqgXGRMywRA69s1YBF1pr+3RZkNMuEvQPZ7Yp0qLxFA401+i072KMCMTwEwnpk6wICg3LbvQRJAEkn0Mor1JEAb9RCN7tglwFTejnBaiD5AEeLK2TvbPcCPkIE8u2w4wCeFeY8zPSJA7nvUX6+MQUBgBmNEongxQDS8WYP3VUHAFKP4QhKnC0BfCaTEru0xwPGEXn8Sk0NAn5JzYg+TRUDCMcueBDozQO0OKQZIFDLAU/7/SY3a/z+9/iQ+d1obQBtHrMWnuEJA5h4SvvdtSMCl8naE015HQIaQ8/4/pjbArhqV5TVA9D9ZoN0hxbw4wDKtTWN7VTjAsXH9uz4/NsCnsFJBRb0wQMXleAWiBzXACJm/nZ/1FkAhrTHohCQ5wDboS29/7vs/w4L7AQ8CR0Cpa+19qphBwHYYk/5eRjjAUUzeADNHMMDDSZo/pvUYQPFHUWfufTnAFjCBW3f3MEDyun7BbiArQHjTLTvEmz7AuvlGdM+6KkArqKj6lfo9wC2wx0RKOyFAFCaMZmXzJ8AFacai6ahCwHAGf7+YuUNABaT9D7DeJUA8MevFUKZGQP5g4Ln3vDtAvYxiuaVhQMCXUwJiEppIQFPQ7SWNYTNAfdKJBFPdKcC8mGa6130xQPAzLhwIO0ZAPNo4Yi2GRMAhYXNpV9zzv27dzVMdnkJAyAc9m1XrNcCowTQMH+k9wJnv4CcO4C7AQE6YMJqlEkCVSKKXUXRCwDut26D2RzzALxoyHqVKRUBv8fCeAxVAQCqC7oEMgxTAITzaOGIJOUDWVBaFXdgzQJ7VAntM8DBAKdGSx9NuMkC+NbBVgmFDwMQKt3wkgTzAtrjGZ7J/OsCnpQOj3GcaQDlGskeooTRAIf/MID7YL8AEV3kCYTVLQKvq5XealCvAs5dtp61hMUCQ+YBAZwI0QPeQ8L2/CUjAcY+lD11QFcC/f/PixAs0QKopyToc/TVAA137AnrJRcBEMuTYek4yQP8JLlbUyD9ADycwndYHRMC4s688SO88wFGC/kKPwBNA6l28H7fnNEC45LhTOiRDQPfmN0w0SCNAYJFfP8TiQ0AB7O3gccsGQEXT2cngFErA0Fs8vOduTsCcbtkh/vtEwL4z2qokEiLAPpKSHoaoSEBUjsni/vMawLa5MT1hnTRAb7a5MT3RSUDN6EfDKfslwGwnSkIiEUTAhnXj3ZHtMsA2dLM/UKYowEqoz8QqRAZA3Ciy1lDqFsA1XOSerhZEQJZcxeI3a0NAmNu93CezRUDiI2JKJJlCwJ+M8WH2AkxApUqUvaUqRECBBps6j8I7wI9OXfksy0BAh29h3XgXPUDpSC7/IcUVwBo09E9w0TdAF/TeGAJwMkDIrx9ig30qQNklqrcGnjhA84x9ycbjKcDZsnxdhvc/wFfQtMTKMDhAUuxoHOoJTEDLnC6LiS0ywHcfkQB/4gPAxhnDnKARNsDRCDaufxcowPJHrCBhc+g/1gCloUaRIMB4YtaLoXhHQBR2UfTAJyjAym/RyVK7LMDO/dXjviFCQOCFrdnKwznAVaGBWDYTO8AnwLD8+SJAwFteud42/0TAm64nui6EMkCqsBngglBKwBToE3mSXEdAeJRKeEKDNEBl/WZiup5IQL+aAwRztkNARbsKKT8ZQcDIk6RrJnNBwF3+Q/rtZ0bAolwav/C8TEDCvp1EhP8twALS/gdYIzHAkdWtnpPUR8C2hHzQsxkzQJDNn4A3Hh7AzuLFwhD5PsDfG0MAcEwdQC3saYe/lkNAvtnmxvSUS0Ao8iTpmtVJQIbxJgFiecu/Tb7Z5sacRkDOwwlMpwUjwNaNd0fG/jVAw++mW3ZEN8B9s82N6VFGQEMaFTjZ7jbAxVIkXwkQScCe76fGS58owN7jTBO2dyFApYKKql+pCcBdjlcgepBDwOM7MevFfEZAFGBY/nxbIsBOnrKars8uQBelhGBV5UvASBYwgVsFQEArMjogCU80wI8YPbfQbS3AMj7MXrYdN0BwzojS3txDQH//QX/8GBNA3s1THXI/OUCDTDJyFgJIwBnnb0IhnE1AdXYyOEoGMsAeq5Se6WU9QOzctBmnIThAfUCgM2kTCUAplltaDRU3QGZMwRpnMzdADkqYafujQEA6WP/nMMMyQA+cM6K09xNAivrJvWVrFcCtg4O9id05wEeTizGwnirA1uJTAIzTMsCugEI9fZQ2QH6tS43Q9ytA8IgK1c31IEDVXdkFg3M1QKipZWt9EUDA7bjhd9NBNsAstklFY/0zwKK0N/jC9ErAtrsH6L5UI0CG5jqNtKRFwPBQFOgTtUBALv8h/fZlQ8CBPpEnSa9GwBjPoKF/IjNAc4HLY80YMkCGOUGbHNY9QN/b9Gc/OkbAqngj88jXKsC3tvC8VMxIQI//AkGAZEPA71cBvtssGUBPrb66KrAkwJbnwd1Z/UbA4utrXWrENcBDWI0lrJUtwDkQkgVMgEjA7IMsCyauLUDFxryOOOQjwP34S4v67CdA+wj84edrPsAaogp/hnNFwLfykv/J9UdAbTZWYp5tPcCPAkTBjAVJwNF6+DJRlB5AaoXpew29QEAB4q5eRYhKwGK4OgDiokBA9Bd6xOgFN0D6uDZUjNtHwF8r/HSXH/o/VHB4QUTkR8Dzk2qfjmcWwOJ1/YLdTEjAmZ1F71SIIUCWWu832nE4QKBW0R+aUS5AlrcjnBaMLsDb96i/XqEzwJkqGJXUPUXAIH2TpkF5NMBrSOJByPRqv0BwlScQKjxAdCoZAKqSRcBgH5268o0zwLM8F18Xsuy/OSwN/KhAR8BgWP58W8AYwIO/X8yWLCnArMWnABg9QsA7Hch6avk2QAISTaCIVSHAv0aSIFxNMMAWghyUMOM/wHHIBtLF5glAR8uBHmoDSsCCOXr83npCQJAUkWEV5zbA2Gz2UVeI2j/EsS5uo+EnQCBLH7qgqkpAhJ7Nqs9tJsB5ck2BzBI1wHS1FfvL9jnAl+SAXU2iOEC45LhTOsBCQB+cTx2rWEPAq0IDsWz+LMCJ0t7gC/tGwHj0v1yLmENAm5Ksw9GV/j/VljrI61EwwIMY6NoX2DbAsHPTZpxyPMA/+bt31FA8wA8J3/sbdEjAreKNzCPnPcB5dY4B2SNHQFeyYyMQBUpAfpHQlnOpLkBbmlshrDo/QG9HOC14JUDApvELryRRIkArweJw5jcywB3+mqxRH0DAkYMSZtq+RUCAnDBhNHtHwLWM1HsqO0LAVOi8xi41PECu9rAXChgyQINvmj47gkfA4dIx5xnfNEDZGfBD7+4IQEOPGD23UDVATMPwETH1M8BGJuDXSBInwOUSRx6IGDxAHJyIfm2ZPsDNyvYhb4kyQCoAxjNoiDTA+S8QBMicRcCGevoI/LEqwEtM6uBtmb+/v42DAToCE0B64jlbQOg0QAMGSZ9WJUdA8rVnlgSgRsDMQjunWVQxQDnulA7WtytAMm3/ykqHSkAdPBOaJPYgwLmrV5HRkSnAGJY/3xaSTEBKSKRt/LkuwOASgH9K5T3AVn2utmK/7L/LwWwCDH9MQKKYvAFmSEPA56kOuRmqPUBCeoocIlJDQP+FL13SUhTAHSYapODZP0D8jAsHQmY/QFcHQNzVV0VAg8E1d/SXKcDpuvCD8yE4QAUYlj/fBkdAoUj3cwriIkBIUtLD0EYzwAPPvYdL0kfADtWUZB3mMEAwnkFD/1BJwJqUgm4vwTFAmgMEc/QMTkB55XrbTKU9QOM7MevFQB7AaIQrXjR97L8VHF4QkQouQF35LM+D10LAVft0PGZmRUAMHxFTIkEwwB+eJcgIVDlASzrKwWxaPkBT7dPxmGEcwKXap+MxUUXABsJOsWqwK0DEtkWZDVohwO85sBwh0U1Ag6J5AIsGQ8CafR6jPGtHQE+YMJqV9TzAIJViR+MIM8DZqxPAYqflv9WvdD48iyTAJ6Wg20t2M8CZfol460wgwKVW83dKYvu/i2zn+6lpOED/yd+9oxJGwAhXQKGeAkBA1uHoKt19JECTVnxD4Vs8wPTlBdhHF0xA1qwzvi9mJsC+E7NeDA1DQBIXgEbpLjFAtO/lmfKMAkBuowG8BRJHQH0CKEaWTChA0hito6ojS0Bodt1bkRg5QGq6nui6cCFAYFeTp6w+JEDiXS7iOw1PwH/7OnDOoDVAcHuCxHZ3CcAvqG+Z0y1IwOy9+KI9ukVAQYLix5iPQsB81jVaDuQ7wMe44uKoFEfAJwaSwZu/0b9UUiegiQQ5wO9VKxN+gTTABxbRwNnXGUBCJ4QOukQdwFkWTPxR/kPAPzFXqxsU9D/8Fp0stT4ZwPB6erZY2/E/NGjon+BgQUCkU1c+y0NMQKVKlL2lFDRAgLqBAu+gN0Bcdoh/2FRCwB4X1SKiBkvA8P/jhAkzKkAr2hznNiU1QJZUEn5OpglA02ndBrVPO8ABFY4glcY7QJ/jo8UZOz7As+pztRWLL8DTau0i8f8aQEjF/x1Rw0tAqHLaU3IOLsA0LhwIyY45wFHWbyamQzrA3GeVmdLWMkD1twTgn5pHwAlvD0JARhPAGw5LAz8gRkDlSGdg5AE5QP28qUiFBUHA6glLPKCySEC8rfTabAg2wNVeRNsxQTXAox03/G4GQEAqWrkXmP08QJLoZRTL8ULA3IR7Zd5KMUBQweEFESk9wHeBkgILkD1A5Wa4AZ9vN8Apdck4RsI1wAeWI2QgM0fAjsu4qYFmBUD+QSRDjvUxQJZbWg2JGzXAVDTW/s7aNEDn2VFB6lsCQKvRqwFKm0dAOWl1zT/V4D88Sbpm8jEwQMQ9lj50N0VApZ4FobxHIsASbFz/rn82QMsxWdx/MD/AL9tOWyOeM8A+X7NcNv5DwDWbx2Ewkz1AdO52vTTRNMBuUtFY+7s5wHZUNUHU/T1AODRlpx9IOsBOzvUif3X+Pwfr/xzmJ0RAO4xJfy+RRsBlGeJYF2s+wBL3WPrQTThAaJQu/Uu6REBE/wQXK9ZCQAFSmzi5t0fAE5uPa0P1RsC22sNeKCwxwGsNpfYi8iXAa9WuCWk1JcC693DJcc9FwCApIsMqVEhAp/0g3K4xDMADWrqCbQQxwMGIfQIocjxAJEG4AgprQkD/OtyzU1j4vyQLmMCte0fACHJQwkztSUAtexLYnDMowNKmj2VmGwrAJO1GH/P3QUAF+kSeJJ01wDnObcK9mkVAWqDdIcXkPMDjVdY2xaMmQO7rwDkj8jvAsaGb/YFyIcAdySdcduXfPwEVjiCVGj5ARJa7hWQHAkB9WkV/aIpHwBeZgF8jnUZAYFW9/E5NTUCHG/D5YSw6wCtrm+Jx4UVApdqn4zGLNECYbhKDwOoawMY6LD82asm/CauxhLUREECeX5Sgv3BBwJwXJ77akStAY3rCEg+AIUDJPV3dsdJBwJ87wf7rLCTAd06zQLuDQ8DAB69d2jRBwISZtn9lvTxABnQVQVK6F8D0TC8xluktQMjvbfqziz5AnzvB/uukPUBqUgq6vZhLQAu1pnnHkUxA2VcepKccMcBagoyACu9HQOMZNPRPABZA44qLo3IrIsDk9zb92Us1QNvEyf0OU0hAMpHSbB5fJcCTpGsm3/AzwAEVjiCVTjRAGTbK+s3IN8CZofFEEPM3QCiDo+TVsTbAAIv8+iHKNEBdCptDShrNvxFXzt4ZzUfAklfnGJC5MEAGoFG69K8XQGzrp/+sDUrAKzI6IAkXOsCRs7CnHSYoQIbkZOJWlU1Am3EaogqPMcAg7X+AtZZLQMfXnlkSUDnA7fXuj/eSTECIY13cRpsrwBEY6xuYbEPAT44CRMGEQ0AYz6Chf0BFQCRgdHlzdDHANlmjHqKFP8CVK7zLRXQhQBIT1PAtdC3A6qwW2GMyMMCOdXEbDZxAQDtvY7MjTS/Ahh+cTx27JUCc4Jumzx45QDtWKT3TR0ZAWyvaHOeYS0AP0egOYrNAwKzFpwAYCUHA0sPQ6uRMJsBGFbR/VEkdQPAV3XpNEzVAN4yC4PHlOMBpqbwd4RJBQO5Cc51GXjBAQkC+hAruMcDQfqSIDKs2wAGKkSVzMD7AFhVxOskuIMCsdHedDUkuwDy+vWvQlxdAvR3htOBtNUD6fmq8dCVAQHVyhuKOiUfA+WabG9OPSUCEzaVd8bEQwLw6x4Ds0UNAkBX8NsRIJcCw5gDBHEtGQPU9ND1ytRTA54pSQrCuQcDVrZ6T3icpwDjzqzlAJENAOWItPgWAN0BCwXv9/14UQJj2zf3VyznAvVDAdjD6IsDTodPzbpQqQLR5HAbztztAn1OQn43aQUC8HHbfMTRBQJCJlGbz3DdA31SkwtiyN8BRMc7fhLhAwMBbIEHxExLALbDHREpDN8AIAI49e4JCwO3NFN/1lhDA1A5/TdbYNMCPnPEiuLb0P+Un1T4dMzZAvhQeNLtuGsDD1mzlJSMzwG3i5H6HUgBARn2SO2xKP8DqCUs8oGxAwGWsNv+vyilA3SVxVkSNKEDAyqFFtpM4wLWhYpy/JUlAPZtVn6sNR0CU9gZfmK5DwGUe+YOB/05AA+yjU1e2R8AOD2H8NB41QDu/KEF/2T3AnLzIBPxCN8De5SK+E/VGwLUy4Zf6GTvAYOXQItszRMDHnj2XqakVwAdjRKLQeivAjiCVYkePQ8BQiIBDqMotwBCQL6GCf0BAzD/6Jk2jJED2fqMdN8xCwHnSHR+I/xTAYytoWmL9OEA5LXjRV8hLwCoPwSeMXPU/8U0uIXrt5j+jryDNWOQ4wPNOqiKB6xtA0PHR4oyZNUC/8bVnluBLwKSMuAA0wjZAhEiGHFv5QUDfxJCcTFQhQCtqMA3DfzRA6/XdY5/mA0B9IeS8/wlAQDf+RGXDUjjAdcqjG2GxKkDLg/QUORwnQLyUumQcKznAbd+j/nopQsDCEg8om8ZKQG1X6INliEhAWRKgppa9OsD2sYLfhqAUwKUQyCWOtCBAZCE6BI4MOUAKn62Dg6lEQIL8bOS64SNAP8bctYSELkBsQIS4cgYSwLByaJHtMEbApXhLKDN09r9pi2t8JqdDwPI+jubIfjbAPwCpTZzAQcAoDTUKST4lQG5sdqT6ojVAzTLV3YYCGkAsuB/wwOgowLYtymyQ+TNA3xXB/1aWSUDNQGX8+9ZBwOxph78mbUfA0O0ljdFGRcAA4xk09G9CQKFQTx+BIzXA3hyu1R4mFEBAMbJkjlU0wHPcKR2sMUdAaD7nbte7H8AkC5jArbMVQOcVTz3SLEDAjxmojH/XNMBqPviaL/ADQGKlgoqqRyvAUIiAQ6juOcDhCijU08cpQJ3zUxwHyjXAcLa5MT0RHcBAZ9Km6pYwwAnVvJmHUgjAzOzzGOXlMkC29dN/1rwTwCGunL0z5jJA5XtGIjTyMkA4fMFdrP4NwLlwICQL5kFAuAchIF+2KcBO1T2yuYItwB2s/3OYByVAuQGfH0ZYPUA/wcWKGtw3wK5DNSVZtwzAZF3cRgOATEA2PL1SlskxwGuad5yigxzAmULnNXbpPkALBtfc0QlCwFYrE36pZUrAr84xIHsXQsCe+lEeJ8YWwGpBlNSurts/sZQb+0hQC8BmFMstrcY1wMEBLV3B7ktAQrKACdwOQsBCB13CoVM+QCLsyh3sMxJAtdsuNNfJFsDAPc+fNloyQNR8lXzs4kVASPsfYK3OM0AT0hqDTqBLQDG0OjlD0Q1AXWqEfqbCN0D2XRH8b+VAQB+duvJZZk5Au9bep6pAMcBdOBCSBSBDwNM7y+K0tgBAWvCiryDdMsDEsplDUp1IQJo90AoMqSDAs3xdhv9cPsCN3yWCggwNwA0YJH1a1RfAW9O84xQDR0DBcK5hhoJDQHOBy2PNBkXAai43GOrsNsDUgaynVk80QKWD9X8OjybAxJrKorBvQkDjsyvjlZoFwJULOsa6TQXAVMTpJFu1O0BO8iN+xfI+QAb1LXO6AE9Agqj7AKQuNkC+TBQhdcFDwJP/yd+9y0bAxTpVvmdoMkD22JYBZ3EfQKUbvAqEOPg/3UyWpHzy+T/fVKTC2K5HwFntUAO8OxPABg/TvrmHRMBcDHlf8FweQD0s1JrmhTVAETtT6LyqOsAihh3GpJchQH/qzPsHate/j4gpkUT/F8BUOlj/58JAQDbF46JaREXAptWQuMdqSMCy3qgVpkcvwDARb51/m0DA5q+QuTLo9L8XDoRkAadHwL3+JD53yhdASL99HTjbMcDX9KCgFME0QP4ORYE+2TNAfjUHCOaMTsAbn8n+eRIkQOUs7GmHa0DALPNWXYfGOcCuf9dnznIuwAHprGBlDhlAAMYzaOi/QkDlQuVfy6MgQKD83Ttq4kTArLtofusJFMB/ETRmEpk0wAyTqYJRU0TA7lpCPugZPEDuv4TAgBQYwBdgH526nj7Av2GiQQre6L8JbTmX4tZIQBJrTONy/xfAmlyMgXUUN0ArMjogCQsowDoKa76lDxbA5p5kYT6fCcAB9zx/2jpAQHO+2Hvxq0TASONQvwv/OcB2b0VigopGQMxG5/wUGUBAzcr2IW9RNkD/snvysAhEwFG/C1uzHSFAyvs4miPvOMApX9BCAr4lwC0mNh/XPiTAZqAy/n1UQ8A8LqpFRNE6wChgOxixxzTA85Nqn46DNUCiXYWUn9QtQAb1LXO6PEHAoyO5/Ic8TkAEdcqjGzVFQLXdBN80jSxAsMivH2KrFEBEwCFUqRkpwIm6D0Bqn0xA93KfHAXYSEAkl/+QfotIwHbfMTz2h0PAMgyzK4gc57/M7snDQqE/QD9W8NsQCzvAu3zrw3rj6j+77xge+3U0wCpN74dE5vw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\",\"dtype\":\"float64\",\"shape\":[5000]}},\"selected\":{\"id\":\"1045\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1046\",\"type\":\"UnionRenderers\"}},\"id\":\"1034\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1012\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"ticker\":{\"id\":\"1017\",\"type\":\"BasicTicker\"}},\"id\":\"1020\",\"type\":\"Grid\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1021\",\"type\":\"PanTool\"},{\"id\":\"1022\",\"type\":\"WheelZoomTool\"},{\"id\":\"1023\",\"type\":\"BoxZoomTool\"},{\"id\":\"1024\",\"type\":\"SaveTool\"},{\"id\":\"1025\",\"type\":\"ResetTool\"},{\"id\":\"1026\",\"type\":\"HelpTool\"}]},\"id\":\"1027\",\"type\":\"Toolbar\"},{\"attributes\":{\"text_alpha\":{\"value\":0.1},\"text_color\":{\"value\":\"black\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1036\",\"type\":\"Text\"},{\"attributes\":{\"formatter\":{\"id\":\"1042\",\"type\":\"BasicTickFormatter\"},\"ticker\":{\"id\":\"1017\",\"type\":\"BasicTicker\"}},\"id\":\"1016\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1045\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1021\",\"type\":\"PanTool\"},{\"attributes\":{\"text_color\":{\"value\":\"black\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1035\",\"type\":\"Text\"},{\"attributes\":{\"data_source\":{\"id\":\"1034\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"1035\",\"type\":\"Text\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1036\",\"type\":\"Text\"},\"selection_glyph\":null,\"view\":{\"id\":\"1038\",\"type\":\"CDSView\"}},\"id\":\"1037\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"source\":{\"id\":\"1034\",\"type\":\"ColumnDataSource\"}},\"id\":\"1038\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1042\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1046\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"1047\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"text\":\"\"},\"id\":\"1039\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null},\"id\":\"1003\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1017\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1026\",\"type\":\"HelpTool\"}],\"root_ids\":[\"1002\"]},\"title\":\"Bokeh Application\",\"version\":\"1.3.4\"}};\n",
              "  var render_items = [{\"docid\":\"57aa1e83-181b-4f68-a2fa-064976154987\",\"roots\":{\"1002\":\"707a1857-ab9d-47d4-a293-a6bce90b95f0\"}}];\n",
              "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
              "\n",
              "  }\n",
              "  if (root.Bokeh !== undefined) {\n",
              "    embed_document(root);\n",
              "  } else {\n",
              "    var attempts = 0;\n",
              "    var timer = setInterval(function(root) {\n",
              "      if (root.Bokeh !== undefined) {\n",
              "        embed_document(root);\n",
              "        clearInterval(timer);\n",
              "      }\n",
              "      attempts++;\n",
              "      if (attempts > 100) {\n",
              "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
              "        clearInterval(timer);\n",
              "      }\n",
              "    }, 10, root)\n",
              "  }\n",
              "})(window);"
            ],
            "application/vnd.bokehjs_exec.v0+json": ""
          },
          "metadata": {
            "tags": [],
            "application/vnd.bokehjs_exec.v0+json": {
              "id": "1002"
            }
          }
        }
      ]
    }
  ]
}