Restaurant_Rating_Prediction_YELPS.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "STAT_ML_Restaurant_Rating.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "zWX2szSZ3V8-"
      },
      "source": [
        "import pandas as pd"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VJRKM5Iw4jMb"
      },
      "source": [
        "!pip install -q kaggle"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6UWLBryE5iU0"
      },
      "source": [
        "!mkdir ~/.kaggle\n",
        "!cp kaggle.json ~/.kaggle/"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "h9pv9VN955Mq"
      },
      "source": [
        "!chmod 600 ~/.kaggle/kaggle.json"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sjYuqDTT6A-B",
        "outputId": "26d189a5-9e6d-4de6-b73c-4ff27b0aea2f"
      },
      "source": [
        "!kaggle datasets list"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Warning: Looks like you're using an outdated API Version, please consider updating (server 1.5.12 / client 1.5.4)\n",
            "ref                                                         title                                              size  lastUpdated          downloadCount  \n",
            "----------------------------------------------------------  ------------------------------------------------  -----  -------------------  -------------  \n",
            "gpreda/reddit-vaccine-myths                                 Reddit Vaccine Myths                              227KB  2021-05-08 09:30:51           4522  \n",
            "crowww/a-large-scale-fish-dataset                           A Large Scale Fish Dataset                          3GB  2021-04-28 17:03:01           2594  \n",
            "mathurinache/twitter-edge-nodes                             Twitter Edge Nodes                                342MB  2021-03-08 06:43:04            281  \n",
            "promptcloud/careerbuilder-job-listing-2020                  Careerbuilder Job Listing 2020                     42MB  2021-03-05 06:59:52            626  \n",
            "dhruvildave/wikibooks-dataset                               Wikibooks Dataset                                   1GB  2021-02-18 10:08:27           1597  \n",
            "imsparsh/musicnet-dataset                                   MusicNet Dataset                                   22GB  2021-02-18 14:12:19            923  \n",
            "alsgroup/end-als                                            End ALS Kaggle Challenge                           12GB  2021-04-08 12:16:37            588  \n",
            "nickuzmenkov/nih-chest-xrays-tfrecords                      NIH Chest X-rays TFRecords                         11GB  2021-03-09 04:49:23            415  \n",
            "simiotic/github-code-snippets                               GitHub Code Snippets                                7GB  2021-03-03 11:34:39             99  \n",
            "mathurinache/the-lj-speech-dataset                          The LJ Speech Dataset                               3GB  2021-02-15 09:19:54            116  \n",
            "fatiimaezzahra/famous-iconic-women                          Famous Iconic Women                               838MB  2021-02-28 14:56:00            502  \n",
            "coloradokb/dandelionimages                                  DandelionImages                                     4GB  2021-02-19 20:03:47            252  \n",
            "imsparsh/accentdb-core-extended                             AccentDB - Core & Extended                          6GB  2021-02-17 14:22:54             53  \n",
            "stuartjames/lights                                          LightS: Light Specularity Dataset                  18GB  2021-02-18 14:32:26             40  \n",
            "nickuzmenkov/ranzcr-clip-kfold-tfrecords                    RANZCR CLiP KFold TFRecords                         2GB  2021-02-21 13:29:51             65  \n",
            "landrykezebou/lvzhdr-tone-mapping-benchmark-dataset-tmonet  LVZ-HDR Tone Mapping Benchmark Dataset (TMO-Net)   24GB  2021-03-01 05:03:40             57  \n",
            "datasnaek/youtube-new                                       Trending YouTube Video Statistics                 201MB  2019-06-03 00:56:47         138701  \n",
            "zynicide/wine-reviews                                       Wine Reviews                                       51MB  2017-11-27 17:08:04         135640  \n",
            "datasnaek/chess                                             Chess Game Dataset (Lichess)                        3MB  2017-09-04 03:09:09          17646  \n",
            "residentmario/ramen-ratings                                 Ramen Ratings                                      40KB  2018-01-11 16:04:39          22483  \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dsfGbpUh6ExW",
        "outputId": "66ecb6b2-dba8-4846-ebd9-70268b4b0a16"
      },
      "source": [
        "!kaggle datasets download -d yelp-dataset/yelp-dataset"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading yelp-dataset.zip to /content\n",
            "100% 4.92G/4.92G [01:07<00:00, 94.9MB/s]\n",
            "100% 4.92G/4.92G [01:07<00:00, 78.1MB/s]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dHEWI3vH6U-z",
        "outputId": "41cb5bc5-f700-40e6-b85b-d2f58bc3c796"
      },
      "source": [
        "!ls"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "kaggle.json  sample_data  yelp-dataset.zip\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6iNwN4oM8Rid",
        "outputId": "53f07891-3ae1-46e7-d500-c5b98177bd06"
      },
      "source": [
        "!unzip \\*.zip && rm *.zip"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Archive:  yelp-dataset.zip\n",
            "  inflating: Dataset_User_Agreement.pdf  \n",
            "  inflating: yelp_academic_dataset_business.json  \n",
            "  inflating: yelp_academic_dataset_checkin.json  \n",
            "  inflating: yelp_academic_dataset_review.json  \n",
            "  inflating: yelp_academic_dataset_tip.json  \n",
            "  inflating: yelp_academic_dataset_user.json  \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4nOj1YFk_Eck",
        "outputId": "81827b40-3acb-4e71-da05-55d53a8f153a"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/gdrive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dQOxuPEj_P7_",
        "outputId": "ff5cfae6-d3ff-45e5-ddd5-6da0c4ebb266"
      },
      "source": [
        "import os\n",
        "os.environ['KAGGLE_CONFIG_DIR'] = '/content/gdrive/MyDrive/kaggle'\n",
        "%cd /content/gdrive/MyDrive/kaggle"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/gdrive/MyDrive/kaggle\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "36L030jV-xc2"
      },
      "source": [
        "from time import time\n",
        "import json\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VhBtpwdv8aWH"
      },
      "source": [
        "def load_rows(file_path, nrows=None, only_return_count=False, verbose=True):\n",
        "    \"\"\"\n",
        "    Returns dataframe from json file\n",
        "    \"\"\"\n",
        "    tic = time()\n",
        "    with open(file_path) as json_file:\n",
        "        count = 0\n",
        "        objs = []\n",
        "        line = json_file.readline()\n",
        "        while (nrows is None or count<nrows) and line:\n",
        "            count += 1\n",
        "            if not only_return_count:\n",
        "                obj = json.loads(line)\n",
        "                objs.append(obj)\n",
        "            line = json_file.readline()\n",
        "        toc = time()\n",
        "        if verbose:\n",
        "            print(file_path.split('/')[-1], 'loaded. Count =', count, ', Time =', round(toc-tic,2), 'secs.')\n",
        "        \n",
        "        if only_return_count:\n",
        "            return count\n",
        "        \n",
        "        return pd.DataFrame(objs)\n",
        "    \n",
        "    \n",
        "#data generator to load data in chunks\n",
        "def load_rows_gen(file_path, nrows=1e6, verbose=True):\n",
        "    \"\"\"\n",
        "    Returns data in chunks\n",
        "    \"\"\"\n",
        "    with open(file_path) as json_file:\n",
        "        line = json_file.readline()\n",
        "        total = 0\n",
        "        while line:\n",
        "            count = 0\n",
        "            objs = []\n",
        "            tic = time()\n",
        "            while count<nrows and line:\n",
        "                count+=1\n",
        "                obj = json.loads(line)\n",
        "                objs.append(obj)\n",
        "                line = json_file.readline()\n",
        "                total += count\n",
        "            toc = time()\n",
        "            print('Loaded chunk of size:', count, \", Time =\", round(toc-tic,2), 'secs.')\n",
        "            yield pd.DataFrame(objs)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mcGvn7TRucWd"
      },
      "source": [
        "***LOADING THE DATASET***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1NmpExA6-HIG",
        "outputId": "14afe7de-91e1-403b-9f81-d2a7e37a682e"
      },
      "source": [
        "filename = 'yelp_academic_dataset_business.json'\n",
        "biz_data = load_rows(filename, 50000)\n",
        "biz_data.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "yelp_academic_dataset_business.json loaded. Count = 50000 , Time = 2.9 secs.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(50000, 14)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 513
        },
        "id": "1hsL8wuA-tnS",
        "outputId": "f83af5d7-98d5-4f00-ee0e-361a52d8d1f5"
      },
      "source": [
        "biz_data.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>business_id</th>\n",
              "      <th>name</th>\n",
              "      <th>address</th>\n",
              "      <th>city</th>\n",
              "      <th>state</th>\n",
              "      <th>postal_code</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>stars</th>\n",
              "      <th>review_count</th>\n",
              "      <th>is_open</th>\n",
              "      <th>attributes</th>\n",
              "      <th>categories</th>\n",
              "      <th>hours</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>6iYb2HFDywm3zjuRg0shjw</td>\n",
              "      <td>Oskar Blues Taproom</td>\n",
              "      <td>921 Pearl St</td>\n",
              "      <td>Boulder</td>\n",
              "      <td>CO</td>\n",
              "      <td>80302</td>\n",
              "      <td>40.017544</td>\n",
              "      <td>-105.283348</td>\n",
              "      <td>4.0</td>\n",
              "      <td>86</td>\n",
              "      <td>1</td>\n",
              "      <td>{'RestaurantsTableService': 'True', 'WiFi': 'u...</td>\n",
              "      <td>Gastropubs, Food, Beer Gardens, Restaurants, B...</td>\n",
              "      <td>{'Monday': '11:0-23:0', 'Tuesday': '11:0-23:0'...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>tCbdrRPZA0oiIYSmHG3J0w</td>\n",
              "      <td>Flying Elephants at PDX</td>\n",
              "      <td>7000 NE Airport Way</td>\n",
              "      <td>Portland</td>\n",
              "      <td>OR</td>\n",
              "      <td>97218</td>\n",
              "      <td>45.588906</td>\n",
              "      <td>-122.593331</td>\n",
              "      <td>4.0</td>\n",
              "      <td>126</td>\n",
              "      <td>1</td>\n",
              "      <td>{'RestaurantsTakeOut': 'True', 'RestaurantsAtt...</td>\n",
              "      <td>Salad, Soup, Sandwiches, Delis, Restaurants, C...</td>\n",
              "      <td>{'Monday': '5:0-18:0', 'Tuesday': '5:0-17:0', ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>bvN78flM8NLprQ1a1y5dRg</td>\n",
              "      <td>The Reclaimory</td>\n",
              "      <td>4720 Hawthorne Ave</td>\n",
              "      <td>Portland</td>\n",
              "      <td>OR</td>\n",
              "      <td>97214</td>\n",
              "      <td>45.511907</td>\n",
              "      <td>-122.613693</td>\n",
              "      <td>4.5</td>\n",
              "      <td>13</td>\n",
              "      <td>1</td>\n",
              "      <td>{'BusinessAcceptsCreditCards': 'True', 'Restau...</td>\n",
              "      <td>Antiques, Fashion, Used, Vintage &amp; Consignment...</td>\n",
              "      <td>{'Thursday': '11:0-18:0', 'Friday': '11:0-18:0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>oaepsyvc0J17qwi8cfrOWg</td>\n",
              "      <td>Great Clips</td>\n",
              "      <td>2566 Enterprise Rd</td>\n",
              "      <td>Orange City</td>\n",
              "      <td>FL</td>\n",
              "      <td>32763</td>\n",
              "      <td>28.914482</td>\n",
              "      <td>-81.295979</td>\n",
              "      <td>3.0</td>\n",
              "      <td>8</td>\n",
              "      <td>1</td>\n",
              "      <td>{'RestaurantsPriceRange2': '1', 'BusinessAccep...</td>\n",
              "      <td>Beauty &amp; Spas, Hair Salons</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>PE9uqAjdw0E4-8mjGl3wVA</td>\n",
              "      <td>Crossfit Terminus</td>\n",
              "      <td>1046 Memorial Dr SE</td>\n",
              "      <td>Atlanta</td>\n",
              "      <td>GA</td>\n",
              "      <td>30316</td>\n",
              "      <td>33.747027</td>\n",
              "      <td>-84.353424</td>\n",
              "      <td>4.0</td>\n",
              "      <td>14</td>\n",
              "      <td>1</td>\n",
              "      <td>{'GoodForKids': 'False', 'BusinessParking': '{...</td>\n",
              "      <td>Gyms, Active Life, Interval Training Gyms, Fit...</td>\n",
              "      <td>{'Monday': '16:0-19:0', 'Tuesday': '16:0-19:0'...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              business_id  ...                                              hours\n",
              "0  6iYb2HFDywm3zjuRg0shjw  ...  {'Monday': '11:0-23:0', 'Tuesday': '11:0-23:0'...\n",
              "1  tCbdrRPZA0oiIYSmHG3J0w  ...  {'Monday': '5:0-18:0', 'Tuesday': '5:0-17:0', ...\n",
              "2  bvN78flM8NLprQ1a1y5dRg  ...  {'Thursday': '11:0-18:0', 'Friday': '11:0-18:0...\n",
              "3  oaepsyvc0J17qwi8cfrOWg  ...                                               None\n",
              "4  PE9uqAjdw0E4-8mjGl3wVA  ...  {'Monday': '16:0-19:0', 'Tuesday': '16:0-19:0'...\n",
              "\n",
              "[5 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1CUmO0Qu_HsA",
        "outputId": "504c32b0-8676-4df3-da65-a0f9d8875f76"
      },
      "source": [
        "biz_data.groupby('state')['business_id'].count()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "state\n",
              "AZ        1\n",
              "BC     5381\n",
              "CA        3\n",
              "CO      996\n",
              "FL     6910\n",
              "GA     5606\n",
              "IL        1\n",
              "KS        1\n",
              "MA    11256\n",
              "NC        1\n",
              "NM        1\n",
              "NY        1\n",
              "OH     3400\n",
              "OK        1\n",
              "OR     7791\n",
              "TX     7641\n",
              "WA     1009\n",
              "Name: business_id, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "noY3YUWDFaPt",
        "outputId": "6f0120b4-5329-4d01-bef8-4a4c05edb595"
      },
      "source": [
        "filename = 'yelp_academic_dataset_review.json'\n",
        "rev_data = load_rows(filename, 50000)\n",
        "rev_data.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "yelp_academic_dataset_review.json loaded. Count = 50000 , Time = 1.33 secs.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(50000, 9)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 529
        },
        "id": "nIib_f2ZFkxw",
        "outputId": "fbfdddc0-4bd3-452b-f898-d32504b82349"
      },
      "source": [
        "rev_data.head(10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>review_id</th>\n",
              "      <th>user_id</th>\n",
              "      <th>business_id</th>\n",
              "      <th>stars</th>\n",
              "      <th>useful</th>\n",
              "      <th>funny</th>\n",
              "      <th>cool</th>\n",
              "      <th>text</th>\n",
              "      <th>date</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>lWC-xP3rd6obsecCYsGZRg</td>\n",
              "      <td>ak0TdVmGKo4pwqdJSTLwWw</td>\n",
              "      <td>buF9druCkbuXLX526sGELQ</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>Apparently Prides Osteria had a rough summer a...</td>\n",
              "      <td>2014-10-11 03:34:02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>8bFej1QE5LXp4O05qjGqXA</td>\n",
              "      <td>YoVfDbnISlW0f7abNQACIg</td>\n",
              "      <td>RA4V8pr014UyUbDvI-LW2A</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>This store is pretty good. Not as great as Wal...</td>\n",
              "      <td>2015-07-03 20:38:25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>NDhkzczKjLshODbqDoNLSg</td>\n",
              "      <td>eC5evKn1TWDyHCyQAwguUw</td>\n",
              "      <td>_sS2LBIGNT5NQb6PD1Vtjw</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>I called WVM on the recommendation of a couple...</td>\n",
              "      <td>2013-05-28 20:38:06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>T5fAqjjFooT4V0OeZyuk1w</td>\n",
              "      <td>SFQ1jcnGguO0LYWnbbftAA</td>\n",
              "      <td>0AzLzHfOJgL7ROwhdww2ew</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>I've stayed at many Marriott and Renaissance M...</td>\n",
              "      <td>2010-01-08 02:29:15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>sjm_uUcQVxab_EeLCqsYLg</td>\n",
              "      <td>0kA0PAJ8QFMeveQWHFqz2A</td>\n",
              "      <td>8zehGz9jnxPqXtOc7KaJxA</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>The food is always great here. The service fro...</td>\n",
              "      <td>2011-07-28 18:05:01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>J4a2TuhDasjn2k3wWtHZnQ</td>\n",
              "      <td>RNm_RWkcd02Li2mKPRe7Eg</td>\n",
              "      <td>xGXzsc-hzam-VArK6eTvtw</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>This place used to be a cool, chill place. Now...</td>\n",
              "      <td>2018-01-21 04:41:03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>28gGfkLs3igtjVy61lh77Q</td>\n",
              "      <td>Q8c91v7luItVB0cMFF_mRA</td>\n",
              "      <td>EXOsmAB1s71WePlQk0WZrA</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>The setting is perfectly adequate, and the foo...</td>\n",
              "      <td>2006-04-16 02:58:44</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>9vqwvFCBG3FBiHGmOHMmiA</td>\n",
              "      <td>XGkAG92TQ3MQUKGX9sLUhw</td>\n",
              "      <td>DbXHNl890xSXNiyRczLWAg</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Probably one of the better breakfast sandwiche...</td>\n",
              "      <td>2017-12-02 18:16:13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>2l_TDrQ7p-5tANOyiOlkLQ</td>\n",
              "      <td>LWUnzwK0ILquLLZcHHE1Mw</td>\n",
              "      <td>mD-A9KOWADXvfrZfwDs-jw</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>I am definitely a fan of Sports Authority.  Th...</td>\n",
              "      <td>2012-05-28 15:00:47</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>KKVFopqzcVfcubIBxmIjVA</td>\n",
              "      <td>99RsBrARhhx60UnAC4yDoA</td>\n",
              "      <td>EEHhKSxUvJkoPSzeGKkpVg</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>I work in the Pru and this is the most afforda...</td>\n",
              "      <td>2014-05-07 18:10:21</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                review_id  ...                 date\n",
              "0  lWC-xP3rd6obsecCYsGZRg  ...  2014-10-11 03:34:02\n",
              "1  8bFej1QE5LXp4O05qjGqXA  ...  2015-07-03 20:38:25\n",
              "2  NDhkzczKjLshODbqDoNLSg  ...  2013-05-28 20:38:06\n",
              "3  T5fAqjjFooT4V0OeZyuk1w  ...  2010-01-08 02:29:15\n",
              "4  sjm_uUcQVxab_EeLCqsYLg  ...  2011-07-28 18:05:01\n",
              "5  J4a2TuhDasjn2k3wWtHZnQ  ...  2018-01-21 04:41:03\n",
              "6  28gGfkLs3igtjVy61lh77Q  ...  2006-04-16 02:58:44\n",
              "7  9vqwvFCBG3FBiHGmOHMmiA  ...  2017-12-02 18:16:13\n",
              "8  2l_TDrQ7p-5tANOyiOlkLQ  ...  2012-05-28 15:00:47\n",
              "9  KKVFopqzcVfcubIBxmIjVA  ...  2014-05-07 18:10:21\n",
              "\n",
              "[10 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xd4Xl15jvYwj"
      },
      "source": [
        "a = biz_data[biz_data['categories'].str.contains('Restaurant') == True]\n",
        "rev = rev_data[rev_data.business_id.isin(a['business_id']) == True]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3pasQqRIwWZF",
        "outputId": "bf7a88dd-0213-4a8a-c332-2799dc18e14a"
      },
      "source": [
        "len(rev)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "34905"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yziAEoCUwYWr",
        "outputId": "340ddbba-d920-4c98-db12-31b99435668d"
      },
      "source": [
        "rev.head(10)\n",
        "rev.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(34905, 9)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "va7VL52lD0rZ"
      },
      "source": [
        "***VISUALISATION OF THE DATA***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 350
        },
        "id": "CiuxP17GDV_l",
        "outputId": "b444679c-771c-433f-8d0d-9a02392348d1"
      },
      "source": [
        "\n",
        "sns.set(rc={'figure.figsize':(11.7,8.27)})\n",
        "sns.countplot(x='City',data=dfs)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f68729cb110>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 252
        },
        "id": "lLX_YxbrDZVS",
        "outputId": "1ff82d75-4f28-46c0-8a06-fbb91b1ab568"
      },
      "source": [
        "labels = rev['stars'].value_counts().index\n",
        "sizes = rev['stars'].value_counts().values   \n",
        "fig1, ax1 = plt.subplots()\n",
        "ax1.pie(sizes, labels=labels, autopct='%1.1f%%', shadow=True)\n",
        "ax1.axis('equal')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "0KOGIEQAGCBr",
        "outputId": "95fd0444-076c-4e1f-a052-a6c85670ea8d"
      },
      "source": [
        "from wordcloud import WordCloud\n",
        "text = rev['text']\n",
        "plt.subplots(figsize = (10,10))\n",
        "wordcloud = WordCloud(background_color='black', width=1024, height=768).generate(' '.join(text))\n",
        "plt.imshow(wordcloud)\n",
        "plt.axis('off')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "G7uvcodURJBS",
        "outputId": "8e895c0c-8eb9-4336-e306-cc518062116b"
      },
      "source": [
        "data = rev[['text','stars']]\n",
        "data.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(34905, 2)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        },
        "id": "8WXeIKH0S-hj",
        "outputId": "68f940f0-42e5-4766-8a1e-1f729fcc1526"
      },
      "source": [
        "data.head(10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>text</th>\n",
              "      <th>stars</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Apparently Prides Osteria had a rough summer a...</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>I've stayed at many Marriott and Renaissance M...</td>\n",
              "      <td>2.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>The food is always great here. The service fro...</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>This place used to be a cool, chill place. Now...</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>The setting is perfectly adequate, and the foo...</td>\n",
              "      <td>2.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Probably one of the better breakfast sandwiche...</td>\n",
              "      <td>5.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>I work in the Pru and this is the most afforda...</td>\n",
              "      <td>5.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>They NEVER seem to get our \\norder correct, se...</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>I have been here twice and have had really goo...</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>This is a five-star restaurant if ever I have ...</td>\n",
              "      <td>5.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                 text  stars\n",
              "0   Apparently Prides Osteria had a rough summer a...    4.0\n",
              "3   I've stayed at many Marriott and Renaissance M...    2.0\n",
              "4   The food is always great here. The service fro...    4.0\n",
              "5   This place used to be a cool, chill place. Now...    1.0\n",
              "6   The setting is perfectly adequate, and the foo...    2.0\n",
              "7   Probably one of the better breakfast sandwiche...    5.0\n",
              "9   I work in the Pru and this is the most afforda...    5.0\n",
              "10  They NEVER seem to get our \\norder correct, se...    1.0\n",
              "12  I have been here twice and have had really goo...    4.0\n",
              "14  This is a five-star restaurant if ever I have ...    5.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "x8mR8yBR09Q8",
        "outputId": "0a946fa8-83ff-404c-eef4-b1877c4f8828"
      },
      "source": [
        "data['stars'].value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "5.0    13307\n",
              "4.0     9943\n",
              "3.0     4862\n",
              "1.0     3478\n",
              "2.0     3315\n",
              "Name: stars, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aHENQ3nQu6kX"
      },
      "source": [
        "***ADDING LABELS TO THE DATAFRAME***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "w62CVOglBw2X",
        "outputId": "4757e22d-fd53-4735-f3c9-048f1eb7a6d9"
      },
      "source": [
        "labels = []\n",
        "for star in data['stars']:\n",
        "    if star==1.0 or star==2.0:\n",
        "        labels.append(-1)\n",
        "    elif star==4.0 or star==5.0:\n",
        "        labels.append(1)\n",
        "    else:\n",
        "        labels.append(0)\n",
        "data['new_stars'] = labels"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:9: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  if __name__ == '__main__':\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        },
        "id": "_G-QKmikFPBM",
        "outputId": "2977e80f-02b3-460c-ddd7-a739dfcc9633"
      },
      "source": [
        "data.head(10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "      <td>Apparently Prides Osteria had a rough summer a...</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1</td>\n",
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              "      <th>3</th>\n",
              "      <td>I've stayed at many Marriott and Renaissance M...</td>\n",
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              "      <th>4</th>\n",
              "      <td>The food is always great here. The service fro...</td>\n",
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              "    </tr>\n",
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              "      <th>5</th>\n",
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              "      <td>1.0</td>\n",
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              "      <th>6</th>\n",
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              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Probably one of the better breakfast sandwiche...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>I work in the Pru and this is the most afforda...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>They NEVER seem to get our \\norder correct, se...</td>\n",
              "      <td>1.0</td>\n",
              "      <td>-1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>I have been here twice and have had really goo...</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>This is a five-star restaurant if ever I have ...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                 text  stars  new_stars\n",
              "0   Apparently Prides Osteria had a rough summer a...    4.0          1\n",
              "3   I've stayed at many Marriott and Renaissance M...    2.0         -1\n",
              "4   The food is always great here. The service fro...    4.0          1\n",
              "5   This place used to be a cool, chill place. Now...    1.0         -1\n",
              "6   The setting is perfectly adequate, and the foo...    2.0         -1\n",
              "7   Probably one of the better breakfast sandwiche...    5.0          1\n",
              "9   I work in the Pru and this is the most afforda...    5.0          1\n",
              "10  They NEVER seem to get our \\norder correct, se...    1.0         -1\n",
              "12  I have been here twice and have had really goo...    4.0          1\n",
              "14  This is a five-star restaurant if ever I have ...    5.0          1"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6fsz7rkhCCEl"
      },
      "source": [
        "data = data.drop('stars', 1)\n",
        "data.columns = ['text', 'stars']"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i6fEuNOmTnvj",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 669
        },
        "outputId": "05aad7be-e775-4fa5-a1a2-288293dc6d72"
      },
      "source": [
        "data.head(20)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Apparently Prides Osteria had a rough summer a...</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>I've stayed at many Marriott and Renaissance M...</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>The food is always great here. The service fro...</td>\n",
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              "      <th>5</th>\n",
              "      <td>This place used to be a cool, chill place. Now...</td>\n",
              "      <td>-1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>The setting is perfectly adequate, and the foo...</td>\n",
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              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Probably one of the better breakfast sandwiche...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>I work in the Pru and this is the most afforda...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>They NEVER seem to get our \\norder correct, se...</td>\n",
              "      <td>-1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>I have been here twice and have had really goo...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>This is a five-star restaurant if ever I have ...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Quickly stopped in for a UFC fight. I sat down...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>I loved everything about this place. I've only...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Great coffee and pastries. Baristas are excell...</td>\n",
              "      <td>-1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Nothing special but good enough.  I like anoth...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>Definitely 5 stars for the donuts.  Our family...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>I think their rice dishes are way better than ...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>Ordered the original tonkotsu base ramen and a...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>Almost desolate restaurant and dingy evironmen...</td>\n",
              "      <td>-1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>This place is truly a hidden gem (literally hi...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>3.5 stars! I got the avocado margarita and it ...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                 text  stars\n",
              "0   Apparently Prides Osteria had a rough summer a...      1\n",
              "3   I've stayed at many Marriott and Renaissance M...     -1\n",
              "4   The food is always great here. The service fro...      1\n",
              "5   This place used to be a cool, chill place. Now...     -1\n",
              "6   The setting is perfectly adequate, and the foo...     -1\n",
              "7   Probably one of the better breakfast sandwiche...      1\n",
              "9   I work in the Pru and this is the most afforda...      1\n",
              "10  They NEVER seem to get our \\norder correct, se...     -1\n",
              "12  I have been here twice and have had really goo...      1\n",
              "14  This is a five-star restaurant if ever I have ...      1\n",
              "15  Quickly stopped in for a UFC fight. I sat down...      1\n",
              "16  I loved everything about this place. I've only...      1\n",
              "17  Great coffee and pastries. Baristas are excell...     -1\n",
              "18  Nothing special but good enough.  I like anoth...      1\n",
              "19  Definitely 5 stars for the donuts.  Our family...      1\n",
              "20  I think their rice dishes are way better than ...      1\n",
              "22  Ordered the original tonkotsu base ramen and a...      1\n",
              "24  Almost desolate restaurant and dingy evironmen...     -1\n",
              "28  This place is truly a hidden gem (literally hi...      1\n",
              "30  3.5 stars! I got the avocado margarita and it ...      0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9q4RAPGnCNOz"
      },
      "source": [
        "sample_size = 6000 # Above 20% of the original size\n",
        "sample = data.sample(sample_size)\n",
        "sample = sample.reset_index(drop=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "rt-rTeQCCPnH",
        "outputId": "debc0f9e-67f9-4265-e1c2-05713d820491"
      },
      "source": [
        "plot_stars_frequencies(sample)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "V9DjbmXHvBk7"
      },
      "source": [
        "***PREPROCESSING WORK***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "N2Yd5dAeCSN6"
      },
      "source": [
        "def remove_punctuation(text):\n",
        "    '''a function for removing punctuation'''\n",
        "    import string\n",
        "    translator = str.maketrans('', '', string.punctuation)\n",
        "    return text.translate(translator)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AQ-5B3G0FgtL"
      },
      "source": [
        "sample['text'] = sample['text'].apply(remove_punctuation)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KVq-8APBF1KQ",
        "outputId": "aba496c4-7d6f-4dcc-d02f-0bd271c796bd"
      },
      "source": [
        "import nltk\n",
        "nltk.download('stopwords')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/stopwords.zip.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jsiZUoG4FjIH"
      },
      "source": [
        "def remove_stopwords(text):\n",
        "    from nltk.corpus import stopwords\n",
        "    '''a function for removing the stopword'''\n",
        "    sw = stopwords.words('english')\n",
        "    # removing the stop words and lowercasing the selected words\n",
        "    text = [word.lower() for word in text.split() if word.lower() not in sw]\n",
        "    # joining the list of words with space separator\n",
        "    return \" \".join(text)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hb_nRxNYFlZs"
      },
      "source": [
        "sample['text'] = sample['text'].apply(remove_stopwords)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Xmt5X9i9F7Yk"
      },
      "source": [
        "def stemming(text): \n",
        "    '''a function which stems each word in the given text'''\n",
        "    from nltk.stem.snowball import SnowballStemmer\n",
        "    stemmer = SnowballStemmer(\"english\")\n",
        "    text = [stemmer.stem(word) for word in text.split()]\n",
        "    return \" \".join(text)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "P82HFuB9F-1C"
      },
      "source": [
        "sample['text'] = sample['text'].apply(stemming)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d2BREwH5GBSj",
        "outputId": "31a08d08-1593-4c96-d886-b18aed170e93"
      },
      "source": [
        "\n",
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "# create a count vectorizer object\n",
        "vectorizer = TfidfVectorizer(dtype=np.float32)\n",
        "# fit the count vectorizer using the text data\n",
        "tfidf_matrix = vectorizer.fit_transform(sample['text'].values)\n",
        "\n",
        "print(len(vectorizer.get_feature_names()))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "16512\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b7grDIe-GFyP"
      },
      "source": [
        "def get_word_freq(tfidf, vectorizer):\n",
        "    return sorted([(tfidf.getcol(idx).sum(), word)\n",
        "                   for word, idx in vectorizer.vocabulary_.items()],\n",
        "                  reverse=True)\n",
        "\n",
        "words_tfidf_scores = get_word_freq(tfidf_matrix, vectorizer)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IDcaTWC4GKL0"
      },
      "source": [
        "# transform tfidf scores matrix into pandas dataframe\n",
        "words_tfidf_scores_df = pd.DataFrame(words_tfidf_scores, dtype=np.float32) \n",
        "words_tfidf_scores_df.columns = ['tfidf_score', 'token']\n",
        "words_tfidf_scores_df = words_tfidf_scores_df.set_index('token')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        },
        "id": "bqphXfcYGOjr",
        "outputId": "d6bb9c9a-bca6-4c8b-e7b1-265beda60593"
      },
      "source": [
        "\n",
        "words_tfidf_scores_df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>tfidf_score</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>token</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>food</th>\n",
              "      <td>231.794891</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>good</th>\n",
              "      <td>209.265564</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>place</th>\n",
              "      <td>196.844482</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>great</th>\n",
              "      <td>190.101440</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>servic</th>\n",
              "      <td>145.307312</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        tfidf_score\n",
              "token              \n",
              "food     231.794891\n",
              "good     209.265564\n",
              "place    196.844482\n",
              "great    190.101440\n",
              "servic   145.307312"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "l_ByfGETGSEn",
        "outputId": "2e1ac8dd-b616-4821-f1de-71d8e61bd8a2"
      },
      "source": [
        "words_tfidf_scores_df.info()\n",
        "words_tfidf_scores_df.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Index: 16512 entries, food to bpm\n",
            "Data columns (total 1 columns):\n",
            " #   Column       Non-Null Count  Dtype  \n",
            "---  ------       --------------  -----  \n",
            " 0   tfidf_score  16512 non-null  float32\n",
            "dtypes: float32(1)\n",
            "memory usage: 193.5+ KB\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(16512, 1)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9mQQXx1AvmTT"
      },
      "source": [
        "***HISTOGRAM OF THE 100 HIGHEST WORDS***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WUv5ajZvGbRR"
      },
      "source": [
        "\n",
        "import matplotlib.pyplot as plt\n",
        "plt.rcParams[\"figure.figsize\"] = (20,3)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 943
        },
        "id": "WjNwYQ7LGXDm",
        "outputId": "2ea8bbba-6031-497e-f220-087ef4449738"
      },
      "source": [
        "plt.rcParams['figure.figsize'] = (24,20)\n",
        "plt.rcParams['font.size'] = 22\n",
        "ax = words_tfidf_scores_df.head(50).plot(kind='barh')\n",
        "ax.invert_yaxis()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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AnwKXAXvQlLLpqarOAJ4JHE3zJcEC4EXAxjQvrz25a/6Kdv57ab4Q+P+Afdv2ZuDDwMFTiFuSJEmSJEmSpqVUVb9j0CQkKYCqSr9j6YeRkZEaHR3tdxiSJEmSJEmStE6SLK+qkV5jnrCXJEmSJEmSJGkAmLCXJEmSJEmSJGkAmLCXJEmSJEmSJGkAbNDvADQ5M7V2vSRJkiRJkiTNFJ6wlyRJkiRJkiRpAJiw1yMmyfwkleTcfsciSZIkSZIkSYPGkjgaCitWrWbu4Uv7HYYkSZIkSRpCKxct6HcIkjQpnrCXJEmSJEmSJGkAmLAfMkl2SnJakluS3JFkeZLXt2OVpLrm/6YvyRuSXJTktrZ/8455OyT5lyTXJLk7ya1Jvpvk5ePE8bQkH0rywyQ3JLk3ya+SfDvJXj3mnwt8r73ccywuS+RIkiRJkiRJUsOSOEMkyQuApcDGwOXAxcDWwOIkO6xh7WeBQ4DzgW8B2wNjifzXAF8GHg1c1o5vBTwX+NMkH66q93dt+S7gDcB/AZcAtwHzgJcCL03y7qr6ZMf8fwPuBl4C3NRej7l88r8FSZIkSZIkSZqeTNgPiSSzgeNpkvUfAo6sqrGE++7AmWvY4kBgt6r69659n0mTrL8X2LuqzugYezpwBvC+JN+rqu91LD0OOKqqVnbttwvwHWBRkpOr6nqAqlqU5EKahP3lVbVwKs8vSZIkSZIkSdOdJXGGx77ANsCVwAfHkvUAVfVD4Jg1rP9Yd7K+dQTNyfrDOpP17b6X0ZykB3hb19iy7mR9238R8DlgQ+AVa4hJkiRJkiRJktTyhP3w2LNtv1JVD/YYPxE4bIL1X+/uSPIoYC+a0jhfG2fdsrbdrcf6TYEFwE7AFjSJf4CntO32E8SzRkkOBg4GmPXYrdZlK0mSJEmSJEkaeCbsh8e2bXvtOOPj9U80/vvAY9vPv0wy0fqHZMyTvAL4vzSJ+vE8doKxNaqqxcBigI22eUqtYbokSZIkSZIkDTUT9sNnvMR1r1P3v11UdVeP7llt+wBNffxJSfJE4F+BxwAfbT+vBO6oqgfbk/HHAhN+AyBJkiRJkiRJ+i0T9sPjhradM8743LXY82bgLprE+9uq6vZJrntZu+aUqnpvj/Enr0UskiRJkiRJkjSj+dLZ4XFe2+7X1p7v9tqpblhV9wPfbS/3ncLSsTI413UPJNkIeNU46+5tW78okiRJkiRJkqQuJk6Hx1eBRcBTgSOSHFVVBZBkF+Cta7nvh2hePPtPSe6meantb8rupCls/yfA5lX1nbb78rZ9VZJFVXVTO/fRwGeBeePca1XbPjnJBu0XBpOy47abMbpowaQfSpIkSZIkSZKGjSfsh0RV3QEcCNxDk2S/LMmJSc4Bzge+2E69b4r7jgJ/CWxIU4v+miTfTnJ8kjOBXwAXAS/oWHY68BNgO+CnSU5PcjJwDbA/8Jlx7nVtu+7xwH8kOS7JF5P876nELEmSJEmSJEnTkQn7IVJVZwG7A98EtgH2Bh4HHAJ8qp1281rsexKwI02i/U5gT+CVNLXoLwb+ho4kfHsyfk/gY8CNwIuB59KU7XkWTVJ+PPsAJ9OU1Xkt8AbAo/OSJEmSJEmSZrx0VD/REEtyIPD/gG9V1Z/3O571bWRkpEZHR/sdhiRJkiRJkiStkyTLq2qk15gn7IdIkj9IMqdH/67Ax9vLJY9oUJIkSZIkSZKk9cKXzg6XZwJnJbmUpl78vTQveN25HT+uqk7pV3CSJEmSJEmSpLVnwn64XA58nqZ+/B7ApsBtwDk0J+uP71tkkiRJkiRJkqR1YsJ+iFTV9TQvmJUkSZIkSZIkTTPWsJckSZIkSZIkaQCYsNd6keTcJJVkfr9jkSRJkiRJkqRhZMJekiRJkiRJkqQBYA17rS9/CcwGfv5wbL5i1WrmHr704dhakiRJkh5i5aIF/Q5BkiTNUCbstV5U1cOSqJckSZIkSZKkmcKSOAMmyR8l+XKSa5Pcm+TXSVYmOTXJq3rM3yXJSUmub+f/KsnpSfYYZ/9KUu3nNyS5KMltbf/mSe5q99lyghhH2/kv6+ibsIZ9kpck+XqSG9r9f5Hk/CTvSfKYKf+iJEmSJEmSJGmaMWE/QJLsCPyIprzMncA3gTOBG4GXAG/qmv9u4AJgP+AXwGnAVcACYFmSh8zvWvtZYDFwD/AtYDlQ7R4bAgeMs+7pwLPa+/3bJJ4pST7fzn0lsAo4BbgE2A5YBDx+TftIkiRJkiRJ0nRnSZzB8k5gU+C9VfXRzoEkvwfs2HH9UuATwA3APlV1UcfYc4BvA0cnWVZVV/a414HAblX17133+RLwF8BBwD/1WHdQ255QVfdP4pn+BngzcBOwd1Vd2HGvAM8Hbp3EPpIkSZIkSZI0rXnCfrCMnTQ/o3ugqm6vqgs6uo5s2zd2JuvbuecDH6Y5Kf/X49zrY93J+tZZNKfgd25P/P9GklnA69rLJeM/xm/mbwAc0V4u7EzWt3FWVZ1TVavHWX9wW35n9IE7e06RJEmSJEmSpGnDhP1gGUug/3OSFyXZqNektr78s4HbgO+Ms9eytt1tnPGv9+qsqgeB49rLv+oafjGwDbC8qi4dZ99OI8CWwPVVtcbyOT1iWVxVI1U1Mmv2ZlNdLkmSJEmSJElDxYT9YPk4cDawC00ifnWSC5P8Q9dp9ye17WOB+8deJNv5w2+T/1uNc69rJ4hjSdse0J6SH3NQ1/iazGnbKyY5X5IkSZIkSZJmLGvYD5CquhN4YZJdgL2A59CckN8FOCzJB6rqQ8Csdslq4Btr2Pbmce511wRxXJHkgvbeLwW+mWQz4BXAvcCJk32kSc6TJEmSJEmSpBnPhP0AamvSXwSQ5NHA/sAXgCOTfAW4rp16X1UtfJjCWEKTsF8IfBN4DbAxcEpV3TLJPX7etn+0voOTJEmSJEmSpOnGkjgDrqruraolwIVAgGdW1SpgBbBlkvkP062/AtwFvCzJFky9HA7AcpoT/k9M8pL1G54kSZIkSZIkTS+esB8gSQ4Bzq6qK7r65wFPby/Has+/j6YczvFJXl9V3+laMwvYE7izqi6caixVtTrJqTSn+4+kOW3/C2DSL4+tqvuSfBT4R+BLSfauqrHa+iQJMB/4cVWtnmivHbfdjNFFC6b6GJIkSZIkSZI0NEzYD5aDgaOTXA1cCtwObA3sATwaOGks4V1VpyV5N/Ax4MwkV9K83HVszc7A5sBbaE7nr40lNAn7t7fXJ1TV/VPc41PADsAbgQuTjAJXAVsATwO2o3mJ7oQJe0mSJEmSJEma7kzYD5b/A7yM5iWzuwOPBW4CltHUsD+lc3JVfTLJ2TQJ9fnAi4D7gRuB82hqz399HeI5m6Ze/nbt9ZKpblBVBbwpyWnAm4FnAzsB/02TuP8szcl9SZIkSZIkSZrR0uRTpcE2MjJSo6Oj/Q5DkiRJkiRJktZJkuVVNdJrzJfOSpIkSZIkSZI0AEzYS5IkSZIkSZI0AEzYS5IkSZIkSZI0AEzYS5IkSZIkSZI0AEzYS5IkSZIkSZI0AEzYa0JJzk1SSeb3OxZJkiRJkiRJms5M2EuSJEmSJEmSNAA26HcA0mSsWLWauYcv7XcYkiRJkobIykUL+h2CJEnSlHjCXpIkSZIkSZKkAWDCfsgkmZPkmCRXJ7knya1Jvpdk/x5zj2zrzx/ZrvtSkuuT3J/k0x3ztkzyuXbsnnbvjyaZvYZYkuQ1Sb6T5OZ27c+TfCHJ3B7z57fxnJtkdpKjklye5K4kF6+P348kSZIkSZIkDStL4gyRJLsCZwCbA9cApwJbAPOB+Un2Ag6qqupa+hTgJ8DdwPk0/+7/0+65dds3D/gVcDqwMfD2dt/uvcZi2RA4CdgHuAsYBW4CngG8EXhVkhdX1WiP5RsD5wI7AOcBlwCPnsKvQpIkSZIkSZKmHRP2QyLJxsDJNMn6TwOHVtUD7dgzgLOBA2mS78d2Ld8fWAL8dVXd2zV2NE2y/rvAPlX163bPbYFzgO3HCenDNMn684ADqur6jljfBnwWOCnJU6vq/q61uwAXA0+uqpsm9QuQJEmSJEmSpGnOkjjD49XAdsBK4LCxZD1AVV0KfKC9PLTH2v8G3tGdrE/yv4BXAg8Abx5L1rd7rhpnL5JsAbwDuB14dWeyvl37OWAp8IfAS8d5nreuKVmf5OAko0lGH7hz9URTJUmSJEmSJGnombAfHnu27YlVdV+P8SU05Wue3J6O7/TdzmR8h+cBAS6sqp91D1bVN2lL53R5PvAYYFlV/XKceJe17W49xm6qqh+Os67z/ouraqSqRmbN3mxN0yVJkiRJkiRpqFkSZ3iMJeGv6TVYVXcnuaGdty2wqmP42nH2fOJEe3as3byrb17bLkjSs8Z9h63G2VOSJEmSJEmS1MGE/fBZU4K8l7vWcwyz2vYK4MI1zL2oR9/6jkeSJEmSJEmShp4J++ExdmJ+Xq/B9qW0T+iaO9k9504wZ06PvuvadkVVLZzkvSRJkiRJkiRJE7CG/fAYqwn/2iS9vmg5iKYe/VXtC2Mn4/s0J/Z3S/I7XwQkWcDvlsMB+C5wH/DCJL3GJUmSJEmSJElT5An74fFV4O+BJwEfTfKeqnoQIMnTgA+28z4x2Q2ramWS04FXAJ9Psk9V3dHu+YTx9qqqm5IcDfwtcHqSg6vq8s45STZp9z27qm6ayoP2suO2mzG6aMG6biNJkiRJkiRJA8uE/ZBoXyq7H3AGcCjwyiQ/ArYAng9sCBwHLJ7i1ocAfwy8GLgmyTJgI+AFwKXABcBuPdYdRlOCZz/g0iQXA1fTnNif2+65EbADsM4Je0mSJEmSJEma7iyJM0Sq6kJgJ+CfaV78ug+wC01S/XXAQVU1pZfSVtUNwLOBz9OUuXk5sCNwDPCnwL3jrLuvqv6inf8tmuT93sALgU2AfwVeCfxsSg8pSZIkSZIkSTNUppjflfpiZGSkRkdH+x2GJEmSJEmSJK2TJMuraqTXmCfsJUmSJEmSJEkaACbsJUmSJEmSJEkaACbsJUmSJEmSJEkaACbsJUmSJEmSJEkaACbsJUmSJEmSJEkaACbsZ5Ak85NUknP7HYskSZIkSZIk6aFM2E8zSVa2Sfm5/Y5FkiRJkiRJkjR5G/Q7AD2i/h3YAbiz34FM1YpVq5l7+NJ+hyFJkiSptXLRgn6HIEmSNO2YsJ9BqupO4PJ+xyFJkiRJkiRJ+l2WxJkmkixMUsCctuuatjTO2M/c8WrYt2PVltN5VJJ3JbksyV1Jrk/yySSz27mPS/Lpdu49SX6a5F0TxJUkr0nynSQ3t2t+nuQLlu2RJEmSJEmSpN/yhP30cRXwZWBfYBPgFOD2jvHbey3q4UTgZcC57Z7PA94J7JDkAOBCYFPgB8DjgD2Bf0yycVV9pHOjJBsCJwH7AHcBo8BNwDOANwKvSvLiqhqd6sNKkiRJkiRJ0nRjwn6aqKofAD9IMp8mYX9oVa3snJNkTdvMAe4Gtq+qG9o12wE/AfYClgGXAAdW1d3t+ALgW8DhST7dlt0Z82GaZP15wAFVdX1HLG8DPguclOSpVXX/2jy3JEmSJEmSJE0XlsRRt3eMJesBquo64Pj2cg7wlrFkfTu+FPgPmlP3I2P9SbYA3kFzsv/Vncn6dt3ngKXAHwIv7RVIkoOTjCYZfeDO1evj2SRJkiRJkiRpYJmwV6f7gLN79F/VtqNVdXOP8Z+27RM6+p4PPAZYVlW/HOd+y9p2t16DVbW4qkaqamTW7M0mjlySJEmSJEmShpwlcdTpF1X1QI/+sfr31/cY6xzfuKNvXtsuaF+GO5GtJhmfJEmSJEmSJE1bJuzV6cF1HO80q22voHlR7UQumsK+kiRJkiRJkjQtmbDXw+W6tl1RVQv7GYgkSZIkSZIkDQMT9tPPvW3b73/b79LUxH9hks2r6n/WZbMdt92M0UUL1k9kkiRJkiRJkjSAfOns9LOqbXfoZxBVdRNwNLA5cHqSp3bPSbJJkv2TPP4RD1CSJEmSJEmSBky/T2Fr/TsVmA+ckOQ7wNjJ9vf0IZbDgCcA+wGXJrkYuBooYC7wx8BGNF8u3NSH+CRJkiRJkiRpYJiwn34+BzwWOAB4GU1CHOCoRzqQqroP+Iskx04UAbkAACAASURBVANvAJ4NPBP4NXAj8K/AacDPHunYJEmSJEmSJGnQpKr6HYO0RiMjIzU6OtrvMCRJkiRJkiRpnSRZXlUjvcasYS9JkiRJkiRJ0gAwYS9JkiRJkiRJ0gAwYS9JkiRJkiRJ0gAwYS9JkiRJkiRJ0gAwYS9JkiRJkiRJ0gAwYS9JkiRJkiRJ0gDYoN8BSJOxYtVq5h6+tN9hSJIkSQNj5aIF/Q5BkiRJ65kn7CVJkiRJkiRJGgAm7DVpSXZKclqSW5LckWR5kte3Y5WkeqyZk+SYJFcnuSfJrUm+l2T/R/4JJEmSJEmSJGlwWRJHk5LkBcBSYGPgcuBiYGtgcZIdxlmzK3AGsDlwDXAqsAUwH5ifZC/goKr6nUS/JEmSJEmSJM00Juy1RklmA8fTJOs/BBw5lmRPsjtwZo81GwMn0yTrPw0cWlUPtGPPAM4GDgTOB459BB5DkiRJkiRJkgaaJXE0GfsC2wBXAh/sPBFfVT8Ejumx5tXAdsBK4LCxZH275lLgA+3loQ9TzJIkSZIkSZI0VEzYazL2bNuvVNWDPcZPnGDNiVV1X4/xJUABT06yba+bJjk4yWiS0QfuXD3VmCVJkiRJkiRpqJiw12SMJdSvHWe8V//Ymmt6Laiqu4EbuuZ2z1lcVSNVNTJr9maTjVWSJEmSJEmShpIJe03FeC+H7XXqfk1rJEmSJEmSJEkdTNhrMsZOws8ZZ3xuj75VbTuv14L2pbRP6JorSZIkSZIkSTOWCXtNxnltu1+SXn8zr+3Rt2xsLMkGPcYPAgJcVVUm7CVJkiRJkiTNeKmyYokmlmQT4GfA44H3A0dV+4eTZBfgLGBTgKpK278xcCWwHfAJ4D1jL6xN8jTgnHa/N1fVsWuKYWRkpEZHR9fzk0mSJEmSJEnSIyvJ8qoa6TXmCXutUVXdARwI3AN8CLgsyYlJzgHOB77YTr2vY83dwH7A/wCHAlcm+dckZwIX0yTrjwMWP2IPIkmSJEmSJEkDzIS9JqWqzgJ2B74JbAPsDTwOOAT4VDvt5q41FwI7Af8MzAL2AXYBLgBeBxxU/hcPSZIkSZIkSQKgV21xqaeq+jHw8u7+JAe2H5f3WHMt8JaHOTRJkiRJkiRJGnqesNekJPmDJHN69O8KfLy9XPKIBiVJkiRJkiRJ04gn7DVZzwTOSnIpcA1wLzAP2LkdP66qTulXcJIkSZIkSZI07EzYa7IuBz4P7AnsAWwK3AacQ3Oy/vi+RSZJkiRJkiRJ04AJe01KVV1P84JZSZIkSZIkSdLDwBr2kiRJkiRJkiQNABP2M1iSlUkqydyOviVt38KuuUe2/Uc+slFKkiRJkiRJ0sxgwl6SJEmSJEmSpAFgDXt1+ztgEXBjvwPptGLVauYevrTfYUiSJEkPi5WLFvQ7BEmSJA0AE/Z6iKq6kQFL1kuSJEmSJEnSTGBJHD3EeDXs17BmzyS3JLk3yUFdY7skOSnJ9e34r5KcnmSP9R68JEmSJEmSJA0xE/ZaJ0leA5xJ8781FlTVlzvG3g1cAOwH/AI4DbgKWAAsS/KmRz5iSZIkSZIkSRpMJuy11pIcBpwI/Dfw3Ko6q2PspcAnaMrr7FZVI1X16qraDXgecDtwdJLt+xC6JEmSJEmSJA0cE/aasiSzkhwN/APwn8CuVXVJ17Qj2/aNVXVR50BVnQ98GNgQ+OsJ7nNwktEkow/cuXq9xS9JkiRJkiRJg8iEvaZqNvB14BDge8Bzquq6zglJtgSeDdwGfGecfZa17W7j3aiqFrcn80dmzd5snQOXJEmSJEmSpEG2Qb8D0NB5J83fzcXAXlV1b485T2rbxwL3J5lov63Wb3iSJEmSJEmSNJxM2GuqlgJ7ADsB7wIW9Zgzq21XA99Yw343r7/QJEmSJEmSJGl4mbDXVF0MvA84C/hoksdU1Qe65oyVyLmvqhY+ksFJkiRJkiRJ0rCyhr2mrKpWAHsC1wPvT/LxrvFVwApgyyTzH/kIJUmSJEmSJGn4eMJea6WqrkjyPOBs4NAkjwHeXlXVTnkfTTmc45O8vqoe8vLZJLNokv53VtWFa7rfjttuxuiiBev3ISRJkiRJkiRpgHjCXmutqq4BngtcAbwV+GKSR7VjpwHvBrYGzkxyRZLTk5yY5Bya2vVn09TClyRJkiRJkqQZz4S91klb/mZPmhI4r6c5Ub9BO/ZJ4FnAv9C8iPZFwJ8DTwTOA94EnNyHsCVJkiRJkiRp4OS3FUykwTUyMlKjo6P9DkOSJEmSJEmS1kmS5VU10mvME/aSJEmSJEmSJA0AE/aSJEmSJEmSJA0AE/aSJEmSJEmSJA0AE/aSJEmSJEmSJA0AE/aSJEmSJEmSJA0AE/aSJEmSJEmSJA0AE/Z6xCRZmKSSLOl3LJIkSZIkSZI0aDbodwDSZKxYtZq5hy/tdxiSJEma5lYuWtDvECRJkjSDecJekiRJkiRJkqQBYMJeACTZKclpSW5JckeS5Ule345VkuqxZpMkhyX5UZLbktyV5LIkRyb5va65K4EvtZcHje1piRxJkiRJkiRJalgSRyR5AbAU2Bi4HLgY2BpYnGSHcdY8ETgTeBrwK+AC4G7gT4APAK9MMr+qbm2XfA3YFXgO8DPgBx3bdX6WJEmSJEmSpBnJhP0Ml2Q2cDxNsv5DwJFVVe3Y7jRJ+e41AU6mSdZ/Djisqu5qxx4DLAZeB3wKWAhQVYcmWUiTsP9BVS18OJ9LkiRJkiRJkoaNJXG0L7ANcCXwwbFkPUBV/RA4pseavYDdgAuBvxlL1rdr7gLeDPwSOCDJ49Y2sCQHJxlNMvrAnavXdhtJkiRJkiRJGgom7LVn236lqh7sMX5ij74/a9tTeq2pqjuAUZr/wfEnaxtYVS2uqpGqGpk1e7O13UaSJEmSJEmShoIJe23btteOM96rf17bfrzr5bG/+eG3Sf2t1mewkiRJkiRJkjRdWcNeY2qc/l6n7me17TJg5Rr2He+LAEmSJEmSJElSBxP2uqFt54wzPrdH33Vt+9WqOnq9RyRJkiRJkiRJM5AlcXRe2+6XpNffw2t79J3Rtq+e4r3ubVu/KJIkSZIkSZKkLqkarxKKZoIkmwA/Ax4PvB84qto/iiS7AGcBmwJUVdr+RwH/DjwLOBZ4b1Xd0rXv1sCfV9UXOvr2BM4FflxVz5pKnCMjIzU6Oro2jyhJkiRJkiRJAyPJ8qoa6Tlmwl5JXgR8E9gI+C/gYmBr4HnAZ4B3AvdV1aM71jwR+DawI/Br4BKaUjkbA9sDTwN+WVVbd6zZiKbm/dbAcuAy4D7g/Kr60kQxmrCXJEmSJEmSNB1MlLC3JI6oqrOA3WmS9tsAewOPAw4BPtVOu7lrzfXAs4G3AT8Bng7sC+wG3A38I7BP15p7gL2ApcCTgNcBbwD2fBgeS5IkSZIkSZKGirXEBUBV/Rh4eXd/kgPbj8t7rLkbOLr9mex9LgFetpZhSpIkSZIkSdK05Ql7keQPkszp0b8r8PH2cskjGpQkSZIkSZIkzTCesBfAM4GzklwKXAPcC8wDdm7Hj6uqU/oVnCRJkiRJkiTNBCbsBXA58HmaWvJ7AJsCtwHn0JysP75vkUmSJEmSJEnSDGHCXmMvkD2k33FIkiRJkiRJ0kxmDXtJkiRJkiRJkgaACftpLMnKJJVkbr9jkSRJkiRJkiRNzJI4GgorVq1m7uFL+x2GJEmS1tLKRQv6HYIkSZI08DxhL0mSJEmSJEnSADBhL0mSJEmSJEnSADBhPwMl2STJEUkuSXJH+3Nxkvcmmd01981tHfxTJ9jvGe2cG5Ns0DW2XZJ/SnJFkruS3Jbk/CQLk+ThekZJkiRJkiRJGjYm7GeYJFsCFwBHAdsBZ7Y/c4C/B36YZIuOJScBdwML2rW9HNS2J1TV/R33ej6wAngHzd/avwEXAc8EvgR8eT09liRJkiRJkiQNPRP2M88xwI7A94F5VbVPVe0DzAN+CPwxcPTY5Kr6H+AbwIbA/t2bJZkFHNBeLuno3wY4Bfg9YCGwfVW9sqpeBDwNuBg4MMnC9ft4kiRJkiRJkjScTNjPIEnmAPsCDwJvapPxAFTVrcCb2rH9kmzXsXRJ2y7sse1LgG2A5VV1aUf/3wKPA/6xqr5cVdVxr+vaewG8fYJ4D04ymmT0gTtXT+4hJUmSJEmSJGlImbCfWZ4LBLiwqq7oHqyq/6QpWfMo4HkdQ2cBq4Cdk+zYtWysHM6Srv4/a9uvjhPLcuB2YKckG/eaUFWLq2qkqkZmzd5snG0kSZIkSZIkaXowYT+zbNu210ww5+quuVTVg8D/ay8XjvUn2Rx4OXAvcGLXPvPa9kftC2kf8kNzkv/3aP4Gf38tnkWSJEmSJEmSppUN+h2A+qLWPOV3LAH+DjggyXval8v+BbAxcEpV3dI1f1bbfoXmpbUTuWct4pEkSZIkSZKkacWE/cyyqm3nTTBnbGxVZ2dVXZnkAmA34KXAN/ntafslPfa5Dngy8OGqumwt45UkSZIkSZKkGcOE/czyfZrT9bsm2b6qruwcTLIDsAtNuZrzeqz/Ek3C/qAkVwC7Ar8A/q3H3DNoXij7amCdE/Y7brsZo4sWrOs2kiRJkiRJkjSwrGE/g1TVtcApNP/uxyb5zZtc23r0x7ZjJ1fVdT22+ApwF/DnwLvavhPa8jjdPg7cBrw3yVuT/M6XQ0menmSfdXkmSZIkSZIkSZouTNjPPG8BLgXmA1cnOSXJKTQvm30ucAnw1l4Lq+o24FTg0cBft91Lxpl7HbA38Gvgc8DPk5yV5IQkS5P8vI1jv/X0XJIkSZIkSZI01EzYzzBVdTNNWZv30dSpf2n7cx1wBPCcHi+Q7fSljs/Lq+rSCe71PeDpwEeAX9KU0HlV23c1zUtsj1jrh5EkSZIkSZKkaSRV1e8YpDUaGRmp0dHRfochSZIkSZIkSeskyfKqGuk15gl7SZIkSZIkSZIGgAl7SZIkSZIkSZIGgAl7SZIkSZIkSZIGgAl7SZIkSZIkSZIGgAn7AZXkFUnOT3Jbkmp/dprk2koy0G8TTrKwjXNJv2ORJEmSJEmSpEGwQb8D0O9KsjPwtfbyHODG9vMt/YlIkiRJkiRJkvRwM2E/mPam+bf5SFUdsRbrd1jP8fTdilWrmXv40n6HIUmSpElYuWhBv0OQJEmShpIJ+8G0Xdv+dG0WV9Xl6zEWSZIkSZIkSdIjwBr2AyTJkW3t+b9qu77UUb9+SZL57edzk8xOclSSy5PcleTijn3GrWGfZMMkb07y/SS3Jrk7yU+TfDLJVj3mL+y4/6ZJPp7kmiT3JP8/e3caZmdZ5W3//BOUQSWooCjaiQrOsdUuQVqRKA8qxgEFbQRF2iGK46utSLcTaitph7adHjG2io8gNjNIQGxmUQYriCLdUVHCEBAUMYABg8l6P9x3wabYlVSlqqhdu87fceS49r7GdYd8Wvti3VmR5CtJHjTCWUnyhiQXtzH+IckJSZ4yEX9fkiRJkiRJktRPvGHfWy4BvgU8G3gM8CPg8nbsvI55mwJn05S+ORf4GXDf9W2eZAtgSbv/SmAp8Cfg6cC7gT2T7FJVy7ssn93Gs2175i/afd4C7JDkmVV1x7A1XwYOANYA5wA3ADsAFwLfXF+8kiRJkiRJkjSTmLDvIVV1AnBCksNoEvb/WVWHDY0nmd9+3JEmub9dVV0/hiMW0yTZjwEWVtVN7b6zgE8CBwKHAfO7rN0DOAX4+6q6tV33cOACmoT/q4AjOmJ9CU2y/mZgt6q6qOOszwHvGEPckiRJkiRJktT3LIkzfb1tLMn6JE8E/gG4EthvKFkPUFVrgH8GLgV2STKvyxa3Am8YSta3664FvtR+3XXY/P+vbT83lKzvOOt9wLWjjV2SJEmSJEmSZgIT9tPT9VX14zGu2b1tT66q24YPVtVa4Ift1526rF9aVb/r0j/0gtuHD3Uk2Rh4Vvv18C5n/QU4en0BJ1mYZDDJ4JpVK9c3XZIkSZIkSZKmNRP209OVG7Dm0W37to4X2d7tD/DWds49Xj4LXDXCvje37aYdfVsBmwBr1xHr8vUFXFWLq2qgqgZmbT57fdMlSZIkSZIkaVqzhv30dI8b8qMwq22X0rwwdl0u69K3dgPOlCRJkiRJkiSNkgn7mePqtj2rqt43yWf9AfgLzS37vwF+02XO3EmOQZIkSZIkSZKmFUvizByntu0ebY35SVNVfwWGauzvO3w8yX2BvSYzBkmSJEmSJEmabrxhP0NU1cVJTgD2AI5K8s6quqZzTpIHAq8Cvt4m3cfjC8BzgfckOaWqBtszNgL+Ddh2LJvN23Y2g4sWjDMkSZIkSZIkSepdJuxnltcBJwEvB3ZP8jOal79uTPNS2qfQ1Lr/FjCuhH1VnZBkMbAQOD/JOcANwA40yfqvAAeM5wxJkiRJkiRJ6ieWxJlBqupmYFdgP+Bc4DHAnsBzaP4tfBV4QVXdPkFHvoUmYf8L4NnAC4H/BXYCLpqgMyRJkiRJkiSpL6SqpjoGab0GBgZqcHBwqsOQJEmSJEmSpHFJsrSqBrqNecNekiRJkiRJkqQeYMJekiRJkiRJkqQeYMJekiRJkiRJkqQeYMJekiRJkiRJkqQeYMJekiRJkiRJkqQeYMJekiRJkiRJkqQeYMJekiRJkiRJkqQesPFUByCNxqUrVjL3oCVTHYYkSVJfW75owVSHIEmSJM1o3rCXJEmSJEmSJKkHmLCfgZLMSfJ/k/w2yV+S3JTkrCT7dJl7cJJq24cm+WqSa9p1VyRZlGTTdZy1Y5LvtmtWJ/l9kpOSPHtyn1KSJEmSJEmSphcT9jNMkmcClwAHtF3HAz8BngUckeT/JUmXpY8ElgIvBs4HzgYeArwfOGqEs/6pnfsq4HfAicDlwALgnCRvmpinkiRJkiRJkqTpz4T9DNLehD8K2BL4D2D7qtq7qp4PPB24AXgtsLDL8tcDpwKPqqpXVtULgAHgVuAlSZ417Kzdgc8A1wE7VdVAu24n4Dntui8neexkPKskSZIkSZIkTTcm7GeWV9LclF8OHFhVa4YGquoXwEfar+/tsvZq4J1Vtbpjzf8C326/7jps/sFt+8aqurBzoKp+BHwcuA/w5pGCTbIwyWCSwTWrVq77ySRJkiRJkiRpmjNhP7Ps0rbfqao7uowfBhSwXZJth42dWVW3dVmzrG0fPtSRZCtgB+Bm4AcjxHJO2+40UrBVtbi9mT8wa/PZI02TJEmSJEmSpL6w8VQHoHvVUBL+im6DVXV7kmvbedsCKzqGrxphz5vbtvPFs49q2y2Av3YviX+nrdc1KEmSJEmSJEkzhQn7mak2YM3aMcyd1bYrgRPWM/cPGxCLJEmSJEmSJPUdE/Yzy9CN+Ud3G2xfSvvwYXM3xNVte0dV7T+OfSRJkiRJkiRpxrCG/cwyVDf+1Um6/VjzOiDA5VW1wQn7du2lwFZJ5m/oPpIkSZIkSZI0k3jDfmY5GvgETY35Q5K8v6rWAiR5IvDRdt5nJuCsD9GUwzk8yeur6m4vn00yi+YluKuq6oL1bTZv29kMLlowAWFJkiRJkiRJUm/yhv0MUlW3A68C/gS8F/hVkiOTnAZcAjwU+DaweALOOhH4J2Ab4LQkv0xyUpLvJDmTpnb9GcBTx3uWJEmSJEmSJPUDE/YzTHub/anAoTQvh30FsCNwPvAa4HVVtSEvpe121r8Dfwd8vT1rN+AlwCOAc4E3AUdNxFmSJEmSJEmSNN1lgnKz0qQaGBiowcHBqQ5DkiRJkiRJksYlydKqGug25g17SZIkSZIkSZJ6gAl7SZIkSZIkSZJ6gAl7SZIkSZIkSZJ6gAl7SZIkSZIkSZJ6gAl7SZIkSZIkSZJ6gAl7TYgk85NUkrO7jFWS6tJ/djs2/96IUZIkSZIkSZJ6mQl7SZIkSZIkSZJ6wMZTHYBmtP2AzYGr1jfx0hUrmXvQksmPSJIkaYZavmjBVIcgSZIkzXgm7DVlqmq9iXpJkiRJkiRJmiksiTONddaGT/KGJBcmubnt37Jj3hOSfD3JFUluT3JTktOTvHSEfZ+Y5GNJfpzk2iSrk/w+ySlJXjiB8VvDXpIkSZIkSZJaJuz7QJIvAouBvwAnA0uBoUT+3sAlwOuBP7fjPwd2Bk5M8rEuW74H+BCwJfAz4HhgObA7cGqS90zi40iSJEmSJEnSjGRJnP7wWmCnqrqoszPJU4BvAauBParq1I6xJwGnAh9KclZVndWx9NvAv1bV8mH77Qj8AFiU5KiqumZSnkaSJEmSJEmSZiBv2PeHTw1P1rc+ANwXOLAzWQ9QVZfR3KQHePuwsXOGJ+vb/guBLwH3AV42AXGvU5KFSQaTDK5ZtXKyj5MkSZIkSZKkKeUN+/5w3PCOJBsBL6QpjXPMCOvOaduduqx/ALAAeCrwIJrEP8D2bfvYccQ7KlW1mKbUD5s8bPua7PMkSZIkSZIkaSqZsO8PV3bpezCwRfv5hiTrWr9155ckLwO+QZOoH8kW6xiTJEmSJEmSJI2RCfs+UFW3deme1bZrgMNHu1eSRwBHApsBh7SflwN/rqq1SRYCXwXW+QuAJEmSJEmSJGlsTNj3rz8At9Ek3t9eVbeOct2L2zXHVtW/dBnfboLikyRJkiRJkiR18KWzfaqq/gqc3n7dawxLh8rgXD18IMkmwJ7jDE2SJEmSJEmS1IU37Pvbx2hePPv5JLcD/1VVd768NU1h+2cAW1bVD9ruZW27Z5JFVXV9O/e+wBeBR99r0XeYt+1sBhctmIqjJUmSJEmSJOle4Q37PlZVg8B+wH1oatFfkeSUJIcnOQ34HXAh8LyOZScBPwUeCfw6yUlJjgKuAPYBvnBvPoMkSZIkSZIkzRQm7PtcVX0XmEeTaF8F7AK8nKYW/SXAu+hIwreldHYBPgVcBzwf2Bk4F/g7mmS+JEmSJEmSJGmCpaNCitSzBgYGanBwcKrDkCRJkiRJkqRxSbK0qga6jXnDXpIkSZIkSZKkHmDCXpIkSZIkSZKkHmDCXpIkSZIkSZKkHmDCXpIkSZIkSZKkHmDCvg8kqSQ9+fbgJPu38R021bFIkiRJkiRJUi8zYS9JkiRJkiRJUg/YeKoDkEbj0hUrmXvQkqkOQ5IkqS8sX7RgqkOQJEmS1IU37CVJkiRJkiRJ6gEm7PtMkoVJfppkVZIbkxyX5MkjzN0xyaeTDCa5PsnqJNcmOSbJM9dzzo5JjkhyZZK/JPlDu89Hkzx4lLE+KclVbY37D2zI80qSJEmSJElSvzBh30eSfA74CrASOBH4A/By4MIkz+6y5BPAu4H7ABcBJwE3AnsC5yV55Qjn/DNwPrAPcAtwPHAhMBv4MDBvFLE+F/gRsA2wX1V9YtQPKkmSJEmSJEl9yBr2/WUh8NyqOhcgSYBPAgcB30ny2Kq6vWP+Z4B9q+r6zk2SvAQ4Fjg0yZKqWtUx9vJ2z1uBfarqe8PWPgO4bl1BJtkX+AZwO7B7VZ2xQU8rSZIkSZIkSX3EG/b95StDyXqAqirgg8BvgUfS3JynY/z7w5P1bf/3gKOBBwHPHTb8kbZ93/Bkfbv2J1V1zUgBtrfzvw38Hni2yXpJkiRJkiRJanjDvr8cPryjqtYkORL4ADAfOKJzPMlWwIuBJwNbcte/iaG6948FlrRztwH+FrgD+NYYY5uV5FDgzcClwIvWldhvz1tI838NMGuLrcd4nCRJkiRJkiRNLybs+8sVI/Qvb9tHdHYmeTPw78Dm69hzi47Pc9r2qqq6bYyx7U3z7+06YOeqWrm+BVW1GFgMsMnDtq8xnidJkiRJkiRJ04olcWaottb8V2heOPs+4PHA/YGNqirAIUNTO5aNJ2n+Q5ofDh4GfLKtry9JkiRJkiRJapmw7y9z19O/oqNvT5pk/Beq6jNV9cuq+nNb9x5guy77XNW2j0yy2RhjuwrYGfgV8Fbg60n89ydJkiRJkiRJLROm/WXf4R1JZtGUowE4u2PoQW17dZc1WwO7De+vqt8BPwfuC+w31uDamvXPAX4B/CNwRBLLMkmSJEmSJEkS1rDvN29NclJVnQfQlp35KPAYmtv1x3bMXda2+yX5elXd2q55APANmhfQdvPRdp9PJ7m6qk7pHEwyAPxupBfKVtX1SeYDp9H8kLBpkn+oqtXrerB5285mcNGCdU2RJEmSJEmSpGnNG/b95WvAOUnOSvId4H+BDwC3AfsOe1HsN2lu1z8d+G2S45IcT1NnfoAmaX8PVXUc8BHgAcCSJD9PcmSSk5P8GvgJ3cvpdO5xI7Ar8GNgD+CEJJtu6ENLkiRJkiRJUj8wYd9f3gO8g6bczR7AQ4ATgB2r6pzOiVV1E01ifjFwK7Cg/X4cTRL/HqVyOtZ+jKYe/dHAVjT18HcEbgIOpimbs05VtRJ4PnAmsDtwSpL7jfpJJUmSJEmSJKnP5K53jEq9a2BgoAYHB6c6DEmSJEmSJEkalyRLq2qg25g37CVJkiRJkiRJ6gEm7CVJkiRJkiRJ6gEm7CVJkiRJkiRJ6gEm7CVJkiRJkiRJ6gEm7CVJkiRJkiRJ6gEm7DUlksxNUkmWT3UskiRJkiRJktQLTNhrgyRZ3ibc5051LJIkSZIkSZLUDzae6gA0Y60AngDcMZrJl65YydyDlkxuRJIkSX1g+aIFUx2CJEmSpA1kwl5ToqruAJZNdRySJEmSJEmS1CssiaMxSbJ/kgLmtF1XtKVxhv7MHZqT5LAkD07yhSRXJFmd5IR2H2vYS5IkSZIkSVIHb9hrrC4HvgXsBdwPOBa4tWO88/NWwE+A2cAPgUHgxnsnTEmSJEmSJEmaXkzYa0yq6jzgvCTzaRL2762q5Z1zkgx9XAD8ANirqm65F8OUJEmSJEmSpGnHkjiaTHcAbzZZL0mSJEmSJEnrZ8Jek+ni4bfvxyLJwiSDSQbXrFo5gWFJkiRJkiRJUu8xYa/JdOV4FlfV4qoaqKqBWZvPkhhZnwAAIABJREFUnqiYJEmSJEmSJKknmbDXZLptqgOQJEmSJEmSpOnChL0kSZIkSZIkST3AhL021Oq23XhKo5AkSZIkSZKkPmGyVRtqBbA98ATg8sk+bN62sxlctGCyj5EkSZIkSZKkKWPCXhvqeGA+cESSHwB/avvfP2URSZIkSZIkSdI0ZsJeG+pLwBbAvsCLgU3a/n+dsogkSZIkSZIkaRpLVU11DNJ6DQwM1ODg4FSHIUmSJEmSJEnjkmRpVQ10G/Ols5IkSZIkSZIk9QAT9pIkSZIkSZIk9QAT9pIkSZIkSZIk9QAT9pIkSZIkSZIk9QAT9pIkSZIkSZIk9QAT9pIkSZIkSZIk9QAT9n0syfwkleTsqY5FkiRJkiRJkrRuG091ANJoXLpiJXMPWjLVYUiSJN3D8kULpjoESZIkSX3CG/aSJEmSJEmSJPUAE/aTpC1FU+3nNyS5MMnNbf+WHfOekOTrSa5IcnuSm5KcnuSlI+z78CRfSnJ5O39VkquSfD/Jwo55ZwNntV93GYpneImcJHOS/HOSs5JcneQvSf7Yft9nhBj2b/c5bITxrqV4OvuTbJ7kX5MsS3JbkktG8/cqSZIkSZIkSf3KkjiTLMkXgbcCPwJOBh4LDCXy9wa+BdwXuKwd3xrYGdg1ycer6sMdez0MWApsA1wJfB/4C7At8ExgLrC4nf594HbgBcD17fchyzo+vxb4OPCbtv9HwCPaGOYneWZVvXP8fxN3sylwNvAE4FzgZzR/B5IkSZIkSZI0Y5mwn3yvBXaqqos6O5M8hSZZvxrYo6pO7Rh7EnAq8KEkZ1XV0E35N9Ek678KHFBV1bFmE2DHoe9VtSjJBTQJ+2VVtf8I8Z0GHF9Vlw2Lb3vgDOAdSY6oqgvH/ugj2hG4BNiuqq6fwH0lSZIkSZIkadqyJM7k+9TwZH3rAzS3yg/sTNYDtMnz97Rf394x9NC2/X5nsr5d85eqOneswVXVT4Yn69v+X9PcvAfYa6z7jsLb1pesT7IwyWCSwTWrVk5CCJIkSZIkSZLUO7xhP/mOG96RZCPghTSlcY4ZYd05bbtTR99FNOV1/i0JwH9X1Z/HG2CSTWlu4j+DpiTPJu3Qw9r2seM9Y5jrq+rH65tUVYtpS/xs8rDtaz3TJUmSJEmSJGlaM2E/+a7s0vdgYIv28w1t8n0kW3d8/jbwfGAf4HhgTZJf0NSB/+5okuDDJdkJOIqmbv1ItljH2Ibo9nciSZIkSZIkSTOaCftJVlW3deme1bZrgMPHsNdaYN8khwAvBp7V/nkHTa35b1TVG0a7X5LNaRL/DwW+DnwFuBy4parWJnk+TY37df6i0MX6Si11+zuRJEmSJEmSpBnNhP3U+ANN0noz4O1VdetYFlfVL4BfwJ3ldV4EfAd4fZL/qqofjHKr59Ak65dW1Ru7jG83wrrVbXv/EcbnjPJ8SZIkSZIkSVLLl85Ogar6K3B6+3VcL3StqrVVdTJwYtv1tx3DQ4n1kX6YeVDbXj3C+D4j9K9o28ePMP6iEfolSZIkSZIkSSPwhv3U+RjNi2c/n+R24L+q6s4Xq6YpbP8MYMuhG/NJ9gN+UVUXd26U5MHc9XLazvrwQ4n17ZJs3P5Q0GlZ2z4vyeOralm730bAB2nK7XTzE+AW4ElJXl1VR3bE8lbG+SNEN/O2nc3gogUTva0kSZIkSZIk9Qxv2E+RqhoE9gPuAxwJXJHklCSHJzkN+B1wIfC8jmWvAJYmuSbJye3cU2mS9I8BfkhTk37ojCuBn9KUvfl5km8n+c8k72vHLwZOpnmp7CVJTk3yXeDXwIeAT40Q+yqaHxwAjkhyXpJjkvwS+I+R1kmSJEmSJEmSRmbCfgpV1XeBecAXgFXALsDLaWrHXwK8qx0b8lng88C1wADwSuApwMXAG4DdquqOYce8AjiKpvzNq9t5nVfV9wQOonnZ7HxgV+Ay4NnAqeuI/TPtXj9vY9kV+M361kmSJEmSJEmSuktHFRapZw0MDNTg4OBUhyFJkiRJkiRJ45JkaVUNdBvzhr0kSZIkSZIkST3AhL0kSZIkSZIkST3AhL0kSZIkSZIkST3AhL0kSZIkSZIkST3AhL0kSZIkSZIkST3AhP29LMnyJJVk7hjXnd2umz/O8w9u9zl4PPtIkiRJkiRJkiaWCXtJkiRJkiRJknrAxlMdgEZtP2Bz4KqpDmQqXLpiJXMPWjLVYUiSpGlu+aIFUx2CJEmSJI3IhP00UVUzMlEvSZIkSZIkSTOFJXEmSJL7JXlvkvOT/CnJbUl+m+ToJC8aYc1uSc5IsjLJqiQXJHnpCHPXWcM+yQuSHJfk2iSrk/wuyY+SvD/JZqN8hl2S/LFd/7phYzsm+W6Sa9rx3yc5KcmzR9irklT7+R/av5dbk9zSPnPXdZIkSZIkSZI0U5mwnwBJ5gBLgU8DTwbOB04ErgN2Bw7ssuwNwGnA/YFTgGXAjsAJSfYaw9lJ8hXg+8DLgRXAscDPgEcCi4CHjmKfvdt4NgYWVNW3Osb+qX2mVwG/a5/tcmABcE6SN61j348B3wFWA0uAa4DnAWck2Wm0zylJkiRJkiRJ/c6SOOOUZCPgeOBxNInsf6yqmzrGHwDs0GXpgcCLqur7HXM/CHwcOAQ4ZpQhvAt4C3A9sEdVXdCxX4DnAjeNsHZo3oE0if3r2ph+1jG2O/AZ4FrgFVV1YcfYs2h+bPhyknOq6lddtn8bsENVLW3XbAQcCrwJ+Biw2yifU5IkSZIkSZL6mjfsx++lwNOA5cCrO5P1AFV1S1Wd0WXdFzuT9a1PASuB7ZL8zfoOTrIx8IH26/6dyfr27KqqM6tq5QjrZyX5MvBvwP8Az+xM1rcObts3dibr2/1/RPMDw32AN48Q5keGkvXtmrXAh9qvOye5zzqeb2GSwSSDa1Z1fQRJkiRJkiRJ6hsm7MfvhW17RFXdNoZ1Jw/vqKrVwG/brw8fxR4DwFbANV2S/+uzOXAc8FbgLOBZVXV154QkW9H83wE3Az8YYZ9z2nak8jbdnvN6mlv/mwAPHinAqlpcVQNVNTBr89nreBRJkiRJkiRJmv4siTN+c9p22RjXXTVC/81tu+kYzv7lGM8GeDfNf/9LgBe2PxYM96i23QL4a1NhZ0Rbj9C/rud8IKN7TkmSJEmSJEnqeybsx682cN3aKTwbmhfAPht4KvAemhr2w81q25XACevZ7w/dOtsSOJIkSZIkSZKk9TBhP35DN8gfN83OvoSmlvx/A4ck2ayqPjJszlCJnDuqav8NC1GSJEmSJEmSNBrWsB+/09r2NUnu7fIuS2lutj8iyQvGuriqLgV2Aa4BPpzk08PGVwCXAlslmT/+cCVJkiRJkiRJI/GG/fidSHNb/anAEUleX1UrhwaTPADYoarOmOiDq+qOJIcAnwW+mWSPqrqo4+wA84GLO2MatscvkzwHOAN4b5LNgHdU1VC5nQ/RlMM5vH22u718NsksmqT/qqq6YIIf8U7ztp3N4KIFk7W9JEmSJEmSJE05E/bjVFVrk7wC+AHwCmC3JOfR1H1/JE0if5AmIT4ZPgc8AXgjcEGSQeBy4EHAE9sYHtXGM9IzXJFk5zbGtwGbJXlTVa2tqhOT/BPwKeC0JL+iecntrcA2wNOALYEDgElL2EuSJEmSJElSvzNhPwHahPfTgXcAewI707yw9XfAycA3J/HsAt6U5ETgLcAOND8S3EiTuP9iG8f69lmRZBeamvavp0na71dVf62qf09yBs3zzQd2A/4KXAecC3wPOG6in02SJEmSJEmSZpLcVflE6l0DAwM1ODg41WFIkiRJkiRJ0rgkWVpVA93GfOmsJEmSJEmSJEk9wIS9JEmSJEmSJEk9wIS9JEmSJEmSJEk9wIS9JEmSJEmSJEk9wIS9xiXJ/kkqyWFjXDe/XXf25EQmSZIkSZIkSdOLCXtJkiRJkiRJknrAxlMdgDQal65YydyDlkx1GJIkqccsX7RgqkOQJEmSpAnjDXtJkiRJkiRJknqACfsekWRWkpuS3JHkAcPGXtrWe68kuw8b26Jdc1OSjTr65yT5v0l+m+Qv7fhZSfYZ4fzD2v33H2H84Hb84DE+1x5JfpTk1jaG/06yy1j2kCRJkiRJkqSZwIR9j6iqNcDZNGWK5g8b3rXj8/8ZNrZLu+asqloLkOSZwCXAAe2c44GfAM8Cjkjy/5JkIuPvJsmB7dl/D/wMOBXYBjgT2GOyz5ckSZIkSZKk6cSEfW85o213Hda/K3A9cAP3TNgPzT0DIMmmwFHAlsB/ANtX1d5V9Xzg6e0erwUWTnj0HZI8Dfgk8FfgpVX1rKrap6rmAQcB75rM8yVJkiRJkiRpujFh31tOb9s7k/JJtgGeRHMr/UxgXpKHdKy5W8IeeCXwSGA5cGB7cx+AqvoF8JH263snOvhh3g7MAo6oqu91DlTVp4Glk3y+JEmSJEmSJE0rJux7SFUtA64FntQm6gGe17ant39Cm6RP8lDgycCKdi00JXIAvlNVd3Q55jCggO2SbDvhD3GXoTgOH2F8pP47JVmYZDDJ4JpVKycuMkmSJEmSJEnqQSbse8/wsjhD7VDCHu66gf+8YWsAhpLwV3TbvKpup/lRoHPuZHjEuuKg+T8A1qmqFlfVQFUNzNp89oQFJkmSJEmSJEm9yIR97xlKyncm7C+vqquq6krgN9wzmd+ZsB9SExyX/1YkSZIkSZIkaRKZhO09d96wT/IYYA53JfFpP89Jsj13v30/ZEXbPrrb5u1LaR8+bC7A6ra9/whxzVl/6HcztPfcEcZH6pckSZIkSZKkGcmEfY+pqhXAL4G/AQ5ouztv0A99XkiT9F5WVdd2jJ/Ttq9OsnGXI15HUwf/8vasIUOfHz98QZLNgPmjf4q7xbHvCOMj9UuSJEmSJEnSjNQtoaupdzrwOOBtwFrgzI6xM2nK3by9/T68HM7RwCeARwGHJHl/Va0FSPJE4KPtvM8MW3cGcDDw2iRfrKpftms2A75C8wPCWHyZ5seB1yY5pqpOGRpI8m5gYCybzdt2NoOLFowxBEmSJEmSJEmaPrxh35uGkvCbApdU1R+HBqrqRuCSdgzuXg5n6KWyrwL+BLwX+FWSI5Oc1q57KPBtYPGwdecBJwNbABcn+X6Sk2leGvt84JtjeYCqWgp8kOZHoZOTnJfkiCQ/p/mx4Atj2U+SJEmSJEmS+p0J+950Fs3NehiWkB/WtxY4e/hgVV0APBU4FJgFvALYETgfeA3wuqrq9lLaVwKLgBuA5wFPB5a07VVjfYiqOgTYE7gAeBrwYuD3wG7A8WPdT5IkSZIkSZL6WbrnbaXeMjAwUIODg1MdhiRJkiRJkiSNS5KlVdW1ZLg37CVJkiRJkiRJ6gEm7CVJkiRJkiRJ6gEm7CVJkiRJkiRJ6gEm7CVJkiRJkiRJ6gEm7CVJkiRJkiRJ6gEm7PtIkkpSE7DP/u1ehw3rn9v2L5+AM85u95o/3r0kSZIkSZIkqR+YsJckSZIkSZIkqQdsPNUBaFpZATwBuGMC9toP2By4ajSTL12xkrkHLZmAYyVJ0nS0fNGCqQ5BkiRJkiadCXuNWlXdASyboL1GlaiXJEmSJEmSpJnCkjjTTJJ5SY5P8sckf05ycZI3rmfN/ZIcmOQnSW5OcluSy5IcnOT+Yzh7nTXs23Pem+T8JH9qz/ltkqOTvGjYXGvYS5IkSZIkSVIHb9hPI0l2AU4FNgN+CfwUeBjw1SRPHGHNI4DTgCcCvwfOB24HngF8BHh5kvlVddM4Y5vTnvM44FbgPGAl8Ehgd2Br4JTxnCFJkiRJkiRJ/cyE/TSRZDPgCJpk/SHAB6qq2rFd6JIMTxLgKJpk/ZeAA6vqto79FgOvAT4H7D+O2DYCjqdJ1p8I/GPnDwBJHgDssKH7S5IkSZIkSdJMYEmc6WMvYFvgN8CHhpL1AFV1DnBolzUvBHYCLgDeNZSsb9fcBrwFuAHYN8kDxxHbS4GnAcuBVw+/rV9Vt1TVGePYX5IkSZIkSZL6ngn76WOXtv1uVa3pMv7tLn1DdeOPraq1wwer6s/AIM3/afGMccT2wrY9ovNHgfFKsjDJYJLBNatWTtS2kiRJkiRJktSTTNhPH49o2ytGGF/epe/Rbfvp9gWv9/jDXUn9rccR25y2XTaOPe6hqhZX1UBVDczafPZEbi1JkiRJkiRJPcca9v1tVtueQ/eEfqcrx3FOrX+KJEmSJEmSJGldTNhPHyvadu4I4936r27bo6vqyxMdUIer2vZxk3iGJEmSJEmSJPU1S+JMH+e07d5JZnUZ37dL36lt+8rJCelOp7Xta5JsOslnSZIkSZIkSVJf8ob99HEMsAjYDjg4yYerqgCSPBs4oMuaE4ClwC5JDgX+par+2DkhyTbAS6rqa+OI7UTgEuCpwBFJXl9Vd74lNskDgB2q6owNPWDetrMZXLRgHCFKkiRJkiRJUm/zhv00UVWrgNcAtwMfBP4nyXeSnEVz+35xlzVrgT2AS4E3A8uT/LBdd1ySXwDXAh8fZ2xrgVcAl7ft1UlOSXJkkvOA64APjecMSZIkSZIkSep3Juynkao6E3gmcBKwDU0y/oHA26rqPSOsuQbYAXg78FPgScBewE40yf/P0iTZxxvbFcDTgQ8AvwZ2Bl4GPBw4GThkvGdIkiRJkiRJUj9LW1VF6mkDAwM1ODg41WFIkiRJkiRJ0rgkWVpVA93GvGEvSZIkSZIkSVIPMGEvSZIkSZIkSVIPMGEvSZIkSZIkSVIPMGEvSZIkSZIkSVIPMGEvSZIkSZIkSVIPMGHfp5JUkprqOCRJkiRJkiRJo2PCXve6JMvbHxTmTnUskiRJkiRJktQrNp7qAKTRuHTFSuYetGSqw5AkSVNk+aIFUx2CJEmSJE06b9hLkiRJkiRJktQDTNjPAEkWJvlpklVJbkxyXJInr2P+/ZIcmOQnSW5OcluSy5IcnOT+XebPSvKWJD9OsjLJ6iTXJ7k4yWeTbN3O27+tqz+nXXrFUK19S+RIkiRJkiRJmuksidPnknwOeCfwQ+BE4OnAy4EXJHlBVZ03bP4jgNOAJwK/B84HbgeeAXwEeHmS+VV1U8eyrwOvA24DzgP+AGwFPAZ4D3B0u9flwLeAvYD7AccCt3bs0/lZkiRJkiRJkmYUE/b9byHw3Ko6FyBJgE8CBwHfSfLYqrq9Y+wommT9l4ADq+q2dmwzYDHwGuBzwP5t/xyaZP3VwDOq6vrOw5M8FbgWoP1x4Lwk82kS9u+tquWT9eCSJEmSJEmSNJ1YEqf/fWUoWQ9QVQV8EPgt8Ehgz465LwR2Ai4A3jWUrG/X3Qa8BbgB2DfJA9uhh7TtxcOT9e26S6rqhg0JvC3lM5hkcM2qlRuyhSRJkiRJkiRNGybs+9/hwzuqag1wZPt1fsfQi9r22Kpa22Xdn4FBmv8z4xlt9zLgFmBBkn9pb9xPiKpaXFUDVTUwa/PZE7WtJEmSJEmSJPUkE/b974oR+pe37SM6+h7dtp8e9jLYO/9wV1J/a4CqugV4PU39+k8Ay5Nck+To9iWzm07o00iSJEmSJElSn7KGvTrNattzuCuhP5Irhz5U1TFJTgdeBjwHeBbNi2X3Ag5OsnNVXT3x4UqSJEmSJElS/zBh3//mAj8boR9gRUffUFL96Kr68lgOqao/Ad9q/5DkMcDXgOcC/wbsM5b9JEmSJEmSJGmmsSRO/9t3eEeSWcDe7dezO4ZObdtXjvfQqvoNTYkcgL8dNry6bf3BSJIkSZIkSZJaJkz731uTnFRV5wEkCfBR4DE0t+uP7Zh7ArAU2CXJocC/VNUfOzdLsg3wkqr6Wvv9acBjgZOq6rZhZ7+kba8c1r8C2B54AnD5aB5i3razGVy0YDRTJUmSJEmSJGlaMmHf/74GnJPkXOA64OnA42heErtvZ5K9qtYm2QM4BXgzsE+Sn9GUytmUJjH/ROCGdl+AOcB3gVVJLm7n3hd4Gs1LbG8BPjwspuOB+cARSX4A/Kntf39V3Thxjy5JkiRJkiRJ04cJ+/73HuDXNAn4HYHbaW7Sf7iqLh0+uaquSbID8AbgVcC8dt2NNDfjP0uTcB9yAfDPwC7A44G/oyl5c3U794tVNfyG/ZeALWjK9bwY2KTt/9f2HEmSJEmSJEmacVJVUx2DtF4DAwM1ODg41WFIkiRJkiRJ0rgkWVpVA93GfOmsJEmSJEmSJEk9wIS9JEmSJEmSJEk9wIS9JEmSJEmSJEk9wIS9JEmSJEmSJEk9wIS9JEmSJEmSJEk9wIS9JkWS/ZNUksOmOhZJkiRJkiRJmg5M2OtelWRum8hfPtWxSJIkSZIkSVIv2XiqA1DfOh64AFg5EZtdumIlcw9aMhFbSZKkaWD5ogVTHYIkSZIk3etM2GtSVNVKJihZL0mSJEmSJEkzgSVx+lSSWUluSnJHkgcMG3tpW5amkuw+bGyLds1NSTZq+3ZM8ukkg0muT7I6ybVJjknyzBHOv0cN+/bzFe3XOR0xWCJHkiRJkiRJ0oxnwr5PVdUa4Gya/4ti/rDhXTs+/59hY7u0a86qqrVt3yeAdwP3AS4CTgJuBPYEzkvyylGGdR5wbPv5z8C3Ov4cM8o9JEmSJEmSJKkvWRKnv50B7EGToP9eR/+uwPVAuGfCfiiZf0ZH32eAfavq+s6JSV5Ck4A/NMmSqlq1rmCq6j+TnE6T6P9DVe0/tseRJEmSJEmSpP7lDfv+dnrb3pmUT7IN8CTgzPbPvCQP6Vhzj4R9VX1/eLK+7f8ecDTwIOC5Exs6JFnYluEZXLPKcviSJEmSJEmS+ps37PtYVS1Lci3wpCTbVNXvgOe1w6fT3LDfmyZJf2SShwJPBlZU1bLOvZJsBby4Hd+Su/7tPLltHwssmeD4FwOLATZ52PY1kXtLkiRJkiRJUq8xYd//zgBeS5OUP4K7btAPJeyhuYF/JHcl8zvL4ZDkzcC/A5uv45wtJiheSZIkSZIkSZqRLInT/4bK4uza0V5eVVdV1ZXAb4aNQUfCPskzgK/QvHD2fcDjgfsDG1VVgEOGpk7aE0iSJEmSJEnSDGDCvv8NJd93TfIYYA53JfFpP89Jsj13v30/ZE+aZPwXquozVfXLqvpzVQ2VqNluEmOXJEmSJEmSpBnDhH2fq6oVwC+BvwEOaLs7S94MfV4IzAWWVdW1HeMPaturh++dZGtgtzGGtLptLcckSZIkSZIkSR1Mms4MpwOPA94GrAXO7Bg7Eyjg7e33M+6+lKGXz+6X5OtVdStAkgcA36B5Ae1Y/J4maf/QJA+sqptGs2jetrMZXLRgjEdJkiRJkiRJ0vThDfuZYSgJvylwSVX9cWigqm4ELmnH4O7lcAC+SXO7/unAb5Mcl+R4YDkwQJO0H7WqugNYQvNj0U+THJHkP5MsGtsjSZIkSZIkSVJ/MWE/M5xFc7Me7pmQ7+xbC5zdOdDegB8AFgO3Agva78fRJPHvUSpnFN4EfB2YBbwKeAOw9wbsI0mSJEmSJEl9I3e9O1TqXQMDAzU4ODjVYUiSJEmSJEnSuCRZWlUD3ca8YS9JkiRJkiRJUg8wYS9JkiRJkiRJUg8wYS9JkiRJkiRJUg8wYS9JkiRJkiRJUg8wYa97SLI8SSWZO9WxSJIkSZIkSdJMYcJekiRJkiRJkqQesPFUB6CetCtwH2DFVAcy5NIVK5l70JKpDkOSJN1Lli9aMNUhSJIkSdK9zoS97qGqfjPVMUiSJEmSJEnSTGNJnD7W1qGv9vM/JDk/ya1JbklyRpJnj7BuxBr2abwqyalJbkiyOsmKdr93jLDfC5KclOT6dv51SY5MMm8in1eSJEmSJEmSpjMT9jNAko8B3wFWA0uAa4DnAWck2WkM+9wXOAH4L2A34FfAMcAy4MnAF7qs+TzwfWB34Dft+uuAvYGLkrxogx9MkiRJkiRJkvqIJXFmhrcBO1TVUoAkGwGHAm8CPkaTfB+NTwEvpUnUv6yqlg0NJJkF3K3YbJK3AO8ELgP2GjZ/D+Bo4Igkj66qmzbw2SRJkiRJkiSpL3jDfmb4yFCyHqCq1gIfar/unOQ+69sgyUOAA4C1wCs6k+/tnmuq6qSO+bOAD7dfX9Vl/gnAV4EtgdeM/ZEkSZIkSZIkqb+YsJ8ZTh7eUVXXAzcBmwAPHsUezwPuC5xfVZeNYv5TgYcBl1XV/4ww55y27VqWJ8nCJINJBtesWjmKIyVJkiRJkiRp+rIkzsxw1Qj9NwMPBDYdxR5z2nbZOmfd5dFt+6ShF9+uw9bdOqtqMbAYYJOHbb++PSRJkiRJkiRpWjNhPwO0JXDGvc0Y589q2xXA6euZO9ofASRJkiRJkiSpb5mw12gN3dJ/3CjnX92211XV/hMfjiRJkiRJkiT1F2vYa7TOBO4A/j7JE0Yx/yLgRuBpSbab1MgkSZIkSZIkqQ94w16jUlU3JDkUeAdwbJI9qupXQ+NJZgEvqqrvtfPvSPJx4D+AE5K8vqou6twzyX2BFwK/qqp1lsWZt+1sBhctmOCnkiRJkiRJkqTeYcJeY/E+4DHAi4DLkpwPXAM8BJjXthmaXFWfTzIHeDdwYZKfA78BVgPbAk8D7gfsjnXsJUmSJEmSJM1wJuw1alX1lyQvAfYB/pEm4f5M4Abg58DxXda8J8kJwAHAs4AFwG3AdcDJwEnAD++VB5AkSZIkSZKkHmbCvo9VVdYzPncs/e3YWuDw9s9o4zgXOHe08yVJkiRJkiRpJvKls5IkSZIkSZIk9QAT9pIkSdL/z969x2taz/sff71NZ2WKQkYaHUURFjkXocOQiH6UwxBF22Zv2nbbsWx2EzlsKgx241AipdNUbB0V1V6RnYhO02FUKE2lc31+f1zX0r1X9zrcM2tmnV7Px+N+fNf1PV2fa2b99bm/63NJkiRJ0gRgwl6SJEmSJEmSpAnAhL0kSZIkSZIkSROACXtJkiRJkiRJkiZMVXfeAAAgAElEQVQAE/bTRJJFSSrJ7PGORZIkSZIkSZL0cCbsJUmSJEmSJEmaAFYa7wC0wmwPrAwsHu9AlsYli5cwe/+F4x2GJEnqsGjenPEOQZIkSZKmFBP200RVXTneMUiSJEmSJEmShmZJnEmmrUNf7c97J/lVkjuT3JzkuCRbDrHuYTXskxwwsN8wn0Vd9hjuc0DH/LXaGI9PckUb5x1tzB9Jsvry+neSJEmSJEmSpMnGE/aTVJIvAO8DfgacADwLeC2wQ5IdqurcUWxzMfCtIca2Bp4BPNDR90Ng3SHmvx545KD5zwC+BvwJ+D3QDzwG2Ab4FLBLkm2r6u5RxCpJkiRJkiRJU5oJ+8lrb+ClVXUOQJIA/wHsDxyVZLOREuFVdTxw/OD+JE8Ffg48CHywY/5+3fZJ8hGaZP3lwOEdQ4toauefVVUPdsxfG/gesCPwfuDgEZ5VkiRJkiRJkqY8S+JMXl8ZSNYDVFUBHwWuAjYAdluaTZM8HjgFmAn8c5vUH27+m4B/B/4M7FRVN3fEdH1VndGZrG/7b6X56wBoTuZLkiRJkiRJ0rTnCfvJ67uDO6rqgSTfAz4CbAcc2cuGSR4JnAxsCPxnVX1phPkvAY4A7gFe0+3Ftu3J/xcCLwGeCKwOpP0AbDbM/nvT/CUBMx61Xi+PIkmSJEmSJEmTjgn7yevqIfoXte0Te9ksyQyaMjXPpimT84ER5m/ezlsFeENV/aLLnMcBxwEvGGarRw01UFXzgfkAq66/aY3wCJIkSZIkSZI0qVkSRwO+CLwauADYY3AZm05JHktTNmcdYL+qOnaIqd+gSdafB7wCeCywSlUFWHUMY5ckSZIkSZKkSc8T9pPXbODXQ/QDLB7tRkk+ALyXpv79LlV11zBzVwdOBDYCDq2qzw8x75HAzsADwKvauvWdNhltfJIkSZIkSZI0HXjCfvLac3BHW9bmje3lWaPZJMnrgM8CtwA7V9Wfhpn7CJra+dsAJwHvH2brmTS/X7d3SdZ3jV+SJEmSJEmSpjNP2E9e+yY5sarOhb+/3PVAYGOa0/VDlan5uyTPo0nA3wfsWlW/H2HJ54DXAf3Am4YrmwPcBPwVWCfJHlV1VMd9d2SEGvmDbTVrJv3z5vSyRJIkSZIkSZImlZ4T9u0p7t2B7YEnAKsNMbWqavtliE3D+zpwdpJzgBuAZwGbA3cBew5X1qbDp4HVgSuAvZLs1WXOX6pqvyQbAP800Acc1nxH8DDHV9XxVfVAkk8DhwBHJnkvzQtxNwaeC/wH8OHRPaokSZIkSZIkTX09JeyTrAP8hCY53DVb26GWNiiNygeAy4F9aErU3A0cD3y8qi4Z5R4z2nYThq4pfw2wX8dcgB2H2XNRGwdV9bkki9r1TwO2BH4DvLmqjkxiwl6SJEmSJEmSWr2esP808GzgOuBQ4DLgtrEOSiOrqgIObz+jmT+7S992PdxvESN/SdNt3bEMUZ6nqnreT5IkSZIkSZKmql4T9rvQ1CXfpqpuXA7xSJIkSZIkSZI0LT2ix/nrAuearJckSZIkSZIkaWz1mrD/I3D/8ghEkiRJkiRJkqTprNeE/bHAS5KsvjyC0ciqKtZ+lyRJkiRJkqSpp9eE/YE0p+y/n+SxyyEeSZIkSZIkSZKmpV5fOvsl4ArgtcDlSS4CrgUe7DK3qmqvZYxPkiRJkiRJkqRpodeE/Vyg2p/XArYbZm4BJuwlSZIkSZIkSRqFXhP2b18uUUgjuGTxEmbvv3C8w5AkaVpaNG/OeIcgSZIkSdNCTwn7qvrW8gpEkiRJkiRJkqTprNeXzmqcJHlkkv2S/CLJrUnuSnJVkmOS7Dxo7rpJDk5yWTvvtiTnJ9k3ycO+pEkyN0klWZBknSRfSnJtu/Z3Sd7dMfdpSX6Q5KZ2/MIkO4wQ94eS/E8bx11JLk1yQJI1x/ZfSZIkSZIkSZImr15L4vxdkqcBzwfWAy6tqhPb/kcAK1XVvWMTopJsCPwY2By4AzgXWAJsAOxE839wSjt3E+CMduxG4CRgDeClwGHAa5O8qqru6XKrtYFfAI9q7/EY4CXAV5LMBM4BfgJcA5wJbAo8B1iY5GVVdc6guJ/Yxv1U4M/t3ne3az7RxrJdVf11Gf+JJEmSJEmSJGnS6/mEfZInJTkD+F/ga8CngF07prwTuCvJ9mMT4vTWfgHyI5pk/QnAk6pqp6p6Y1W9EFgf+PeOJUfRJOuPAZ5cVbtX1auApwB/AF4OHDDE7V4DXAJs1K7bHtilHfso8D3ggKrasr3/s4FDgBk0CfjOuAP8gCZZfyiwYVXtUFWvATYGvgs8HfjCUv7TSJIkSZIkSdKU0lPCPsm6NKestwN+A3wFyKBpxwAP0iR/tex2AZ4JLALeNPg0elXdXlWnAyR5Mc3p9duBd1fV3R3zrgPe317+Q5LVutzrduA9g9adCvwaWBP4Y1V9btCag9r2RUlW7ujfkeYvMM4H3l9Vd3XseRfwbuBPwJ5J1un24En2TtKfpP+BO5d0myJJkiRJkiRJU0avJ+z/DXgScDCwdVW9d/CENqH8v8CLlj080SS+AY7sTHoPYdu2Pamqbhk8WFWnATcAawHP7rK+v6r+0qX/irY9rcuetwA3A6vQlNAZMFBX/9iqerDLur8B/TRlmZ7T7WGqan5V9VVV34w1ZnabIkmSJEmSJElTRq8J+1cDVwMfrqoaZt5VwBOWOip12rBtLxvF3Flte/Uwc64aNLfT9UOsuWOU452n9jdq28+2L7R92IeHkvrrDROvJEmSJEmSJE0Lvb50dgPg5BGS9QD3A13LnKhnI/1bj9UaaEoZLct4pxltezZNOZ/hXNPDvpIkSZIkSZI0JfWasL8LWHsU82YDt/Ycjbq5tm03H8XcxW270TBzBsYWDzNnLFzXtsdU1WHL+V6SJEmSJEmSNOn1WhLnN8CzkwxZUDzJLOAZwC+XJTD93Y/b9s1DvCi209lt++puL3JNsgOwPk0Jm4vGLsSuTm3bNyzn+0iSJEmSJEnSlNDrCfujgMOBryV5a1Xd2zmY5BHAl4BVge+OTYjT3gnAxcDWwJFJ3lFVSwYGk6wFPLeqTq+qnyX5H5qXuB6W5O1VdU87bxbwxXbZoVV193KO+3iaLwW2TfJVmvce/J8X4SZ5PPDqqvr6SJttNWsm/fPmLJ9IJUmSJEmSJGkC6DVh/w1gT2B34DlJFrb9WyY5GNgV2BQ4iya5r2VUVQ8meR3wE+B1wCuSnAssoXmnwNZAP3B6u2QP4EzgTcB2SX4GrAG8FHhkO++AFRT3rsApwD7AHkl+TVMqZzVgM+CpwJ+AERP2kiRJkiRJkjTV9ZSwr6r7k+xMk2DdHXhvO9TXfqA5Wf22UbyYVqNUVVcneRbwj8BuwItpXup6I3AycETH3CuSPBP4EPCa9nMfcCnwbWB+Vd23guK+Pslzgb1ofl+2ArYBbqapof854EcrIhZJkiRJkiRJmuiytHn1JFsAO9G8xHQGzcnpU6vqV2MXntTo6+ur/v7+8Q5DkiRJkiRJkpZJkouqqq/bWE8n7JNsWFXXAFTV74DfDTN3l6o6sadIJUmSJEmSJEmaph7R4/zTkqw90qQkOwDfX7qQJEmSJEmSJEmafnpN2G8OnJBklaEmJNkWOG6ZopIkSZIkSZIkaZrpNWH/eZoXnn6n22CS59O8BHUl4P8tW2iSJEmSJEmSJE0fPSXsq2o/4Bjg9UkO6RxL8mzgVGA14K3Wr5ckSZIkSZIkafR6PWEP8Bbg58A/J3kfQJKtgB8DawHvqirr109iSeYmqSQLxjsWSZIkSZIkSZouVup1QVXdm2QXmqT959p69h8EHg28t6oWjG2IkiRJkiRJkiRNfT0n7AGq6q9JdgLOBw4GAvxrVR0+lsFJAy5ZvITZ+y8c7zAkSZq0Fs2bM94hSJIkSZJGMGzCPsmThhl+ENgXOBr4NvD9wfOr6tpljlCSJEmSJEmSpGlgpBP2i4AaxT5vbz+dahT7awVIsg3weuClwAbAOsBfaMoaHVJV5/ew1yuB9wPPafe5HfhTu9ehVfXLQfMfCfwTsDuwSdt9OfAD4ItVdefSP5kkSZIkSZIkTR0jJdSvZXQJe01snwa2Ay4FLgTuATYHdgN2TfKmqjpmpE2SzAWOoPnriguAa4A1ab4EmAv8Afhlx/x1gTOArYC/0ryYGJovDj4N7J7kZVV1y7I+oCRJkiRJkiRNdsMm7Ktq9gqKQ8vXIcCeVXVTZ2eSVwPHAl9NsnAUp90/3rYvrqqfD9rricCjBs0/nCZZ/zNgl6q6tZ27DnAy8ALgMOBNvT+SJEmSJEmSJE0tjxjvALT8VdVpg5P1bf9JwDHAo2lOvY/kccCtg5P17V7XV9VvB66TbEhThudB4F0Dyfp27l+Bd7VjuyfZoNvNkuydpD9J/wN3LhlFeJIkSZIkSZI0eZmwnyaSrJtkbpJDknwjyYIkC4At2ymbjWKbC4G1k3w7yTOTZJi5LwYCnF9Vvx882Cb3L6D5HXxJtw2qan5V9VVV34w1Zo4iPEmSJEmSJEmavJbqpbBtbfJ30dRFn9V2LwbOBL5ZVX8ek+g0JpLsA3weWGOYaYPL2XSzL00pm7e0nyVJLgR+Cny7qm7smDvwe3H1MPtdBTy/Y64kSZIkSZIkTVs9n7BPshPNy0U/BbwCeGr7eQXNi0Qva+doAkjyHOArwMrAvwBPoXlR7COqKsBBA1NH2quqfteufzXwBeD3NKV0DgauTLJjt2XL+gySJEmSJEmSNB30dMI+yVNoXlK6GnA+cATNKWmAjYC3A88Dfpjk2VV12RjGqqWzG00y/ktVdUiX8U162ayq7qM5ZX8y/P0Fsp8A3g98k//7FxfQ/F4MZWBs8TBzJEmSJEmSJGla6PWE/f40yfp/qaoXVNXXq+r09vP1qnoBsB+wOvCvYx2slsqj2/a6wQNJ1qP5y4il1r5A9l9oXiD7hHZPgJ/RnK5/XpKH1cdPsgWwTbvunGWJQZIkSZIkSZKmgl5r2L8M+E1VfW6oCVX1+SRzge2XJTCNmYG/cnhrkm9W1R0ASdYC/gtYezSbJFkDeDfwnS7vKJhD8+XPbcCtAFV1TZJjgdcDX0uya1UtafdaG/hau+boqnrYlwmDbTVrJv3z5owmVEmSJEmSJEmalHpN2D+O0Z2GvoSmFIvG3xHAPwHPAq5Kci5NiZyXAPfSJO3fMYp9VgE+B3wmySXA5TSn4zcG+mhO0/9rWzJnwHtoat5v1977rLb/pcA6wK+Bf1iGZ5MkSZIkSZKkKaPXkji38VCN8uE8Abi993A01tqSNX3AfOAOmtPwfcBxNEn8EU+3t+6gScD/kKbk0Q7ALjQn9I8Cnl9VXx10778Azwc+RlOnfqf2cx3wEeCFVXXLMjyeJEmSJEmSJE0ZqarRT05OBV4ObFdV5w0x5wU0p/B/UlU7j0mUmvb6+vqqv79/vMOQJEmSJEmSpGWS5KKq6us21usJ+0OBGcCpST6ZZOMkKyWZ0f58IHAqTcmVQ5ctbEmSJEmSJEmSpo+eEvZVtRA4GFiTpqTJH4C7gLvbnz8KrAV8pqpOGdtQJUmSJEmSJEmauno9YU9V/RvwKuAsmpeWzmg/9wJnAq9q50iSJEmSJEmSpFFaqZfJSZ4E3NGenj8lyQzgMe3wzVX1QDtvHWCtqrp2TKOVJEmSJEmSJGmK6vWE/dXAZwcuquqBqvpT+3mgY95ngKvGIkCNLMncJJVkwXjHIkmSJEmSJElaOr0m7NN+RjtXkiRJkiRJkiSNQk8lcXqwNnDPctpb09Ali5cwe/+F4x2GJEmTzqJ5c8Y7BEmSJEnSKI2YsG/r1ndas0tf535bAK+kKZ8jSZIkSZIkSZJGYTQlcRbRJN8HEvC7dVwP/lwOnAisBRw5xrFOG0m2SfLZJP1Jbkpyb5I/JvlhkueNco9ntXXtL+gy9vl27L4kaw0a27kdO3FQ/25J/ivJpUluTXJ3kiuSHJZkg0Fzk+Tydp8h401ybDtn39E8kyRJkiRJkiRNZaNJ2F/b8SngzkF9nZ8rgLOB9wMHLYd4p4tPA/8MrAxcSPMlyM00X5acm+QNo9jjYuAW4NlJ1h40tn3brgRsN8TYTwf1fx/YHfhbO/bfwKrAvsAvk2w2MLGqCjisveyajE8yC9gFuB34ziieR5IkSZIkSZKmtBET9lU1u6qeXFVPpnmR7DED110+m1fVy6rqy23SVkvnEGBWVT2jql5dVa+vqq1oEtwPAl9NssZwG1TVg8CZwAw6kvJJ1gO2Ai5pu14+aOlAwv70Qf17AI+tque28bwaeDLwKWBd4D8HzT+CJrn/hiSP6RLiPjRfGHy7qm4f7lkkSZIkSZIkaToYzQn7Tm8Hvrk8AtFDquq0qrqpS/9JwDHAo4GXjmKrgVPynUn5l9F88XIocEPnWJJ1gacDN1bVpYPu/YOqunNQ3/1V9THgj8ArO8vrVNUS4NvAasBeneuSrAy8q708fBTPIUmSJEmSJElT3ogvne1UVd9aXoHo/2qT568CtgTW5qH/qy3bdjNg4QjbDJyS376jr7PkzYuBNydZv6pu4KFk/uDT9QMxbQbsCGwCrMlDX/is1P68CfCrjiWHAu8B9klySHvqH+B1wOOBs6rqt0MFn2RvYG+AGY9ab4RHlSRJkiRJkqTJraeEvVaMJPsAnweGK3vzqJH2qarLk1wHPCXJrKpaTJOwv7qqrkryU+DNNKfsv8MQ5XCSrERzEv6dNAn9UcVUVb9t7/FymkT/Ke3QQF37wxhGVc0H5gOsuv6mlliSJEmSJEmSNKX1WhJHy1mS5wBfoXnh7L8AT6E9zV5V4aGX+Q6XOO80UBZn+ySzgY14KCE/0A6UxRmqfv37aUrY3AC8EXgSsFpVpY3pF8PE9OW23bd9vi2Bl9CU0Tl+lM8gSZIkSZIkSVOeJ+wnnt1oEt9fqqpDuoxv0uN+p9O8e+DlNF8CQJvEr6rrk/yeJpm/IbAxcHlVXTtojze07T5VdXKPMZ0MXA3s1H5hMHC6fn5V3d/js0iSJEmSJEnSlOUJ+4nn0W173eCBJOsBr+hxv8469tsDBZwxaHwW8N5B80cb0yuAIQvMt3XrD6f5XfsXmhI899GWupEkSZIkSZIkNTxhP/Fc1rZvTfLNqroDIMlawH/RvIB21KrqxiSXAk8DXgv8b1X9uWPKT2lOvQ+XsL8M2BR4T5J9B14em2Rj4KujCOObwIE8dLr+mPYlt6O21ayZ9M+b08sSSZIkSZIkSZpUPGE/8RxBc5L9WcBVSY5L8iNgEdBHk7Tv1UASfjUenpA/E3iwHXuQ/3v6fsBBNKfi9wF+l+ToJD8BftvG+vPhbl5VfwW+29E17MtmJUmSJEmSJGk6MmE/wbTJ7T6akjF3AHPa6+NokvgPK0szCp1J+p92DlTVrcBF7eXFVXVLl5h+ATwHWAjMBF4DPBH4NLADTTJ/JP/dtpdW1dk9RS9JkiRJkiRJ00Cqarxj0DTQ/pXArsC+VfWVXtf39fVVf3//2AcmSZIkSZIkSStQkouqqq/bmCfstdwleTawC3Az8O1xDkeSJEmSJEmSJiRfOqvlJsk3gDWBnWm+HPp4Vf1tfKOSJEmSJEmSpInJhL2Wp71oXmR7DfDJqjp8nOORJEmSJEmSpAnLhL2Wm6rKeMcgSZIkSZIkSZOFNewlSZIkSZIkSZoATNjrYZKclaSSbDfesUiSJEmSJEnSdGHCXpIkSZIkSZKkCcAa9urmrcAawLXjHciASxYvYfb+C8c7DEmSJo1F8+aMdwiSJEmSpB6ZsNfDVNWESdRLkiRJkiRJ0nRhSZxJqq0xX+3Peyf5VZI7k9yc5LgkW45i3V5JLkhyW9u/dts/bA37JDu09/hjknuT3JjkvCT/mmT1LvO3SXJ0kuvb+X9OcmKSF43ZP4gkSZIkSZIkTXIm7Ce5JF8AvgIsAU4A/gK8FrhguIR4ki8D84F7gJOBi4Aa4V5J8hXgtPYei4FjgV8DGwDzgMcNWvNB4BfA7sCNbYxXAHOAs5O8q7cnliRJkiRJkqSpyZI4k9/ewEur6hxokurAfwD7A0cl2ayq7u6y7i3A86vqwh7u9X7g3cBNwK5Vdf7AQHvflwJ/7ejbCTgE+CPwuqq6oGPshcApwGFJzq6qP/QQhyRJkiRJkiRNOZ6wn/y+MpCsB6iqAj4KXEVz6n23IdZ9ppdkfZKVgI+0l3M7k/UD962qM6pqSUf3AW37zs5kfTv/PODfgZWBfUYbhyRJkiRJkiRNVSbsJ7/vDu6oqgeA77WX2w2x7rge79MHrAtcX1WnjTQ5ybrAc4HbgJ8MMe3stn3+EHvsnaQ/Sf8Ddy7pNkWSJEmSJEmSpgxL4kx+Vw/Rv6htnzjE+DU93mfDtv39KOc/uW0fBdzfVMwZ0nrdOqtqPk2dfVZdf9Nh6+tLkiRJkiRJ0mRnwn6aqqq7el3S4/wZbbsEOH6EuX/pcW9JkiRJkiRJmnJM2E9+s4FfD9EPsHiM7nNt224+yvnXte19VTV3jGKQJEmSJEmSpCnLGvaT356DO5LMAN7YXp41Rve5iOYk/BOT7DDS5KpaDFwCrJtkuzGKQZIkSZIkSZKmLE/YT377Jjmxqs4FSFMs/kBgY5rT9ceOxU2q6r4kBwGfA45IsmtVXTgw3t53O+CXVTXwhtiP0ZTD+W6Sd1TV/3n5bPvFwrbAnVV1/nD332rWTPrnzRmLR5EkSZIkSZKkCcmE/eT3deDsJOcANwDPoilbcxew51LUqh/OF4AtgHcC5yfpB64AHg08FdiA5mWzSwCq6oQkHwQ+A/w4yR9oXlp7B/B44JnA2sB7gGET9pIkSZIkSZI01Zmwn/w+AFwO7ANsA9xNc6r941V1yVjeqKoKeFeSE4B3A88FtgZupkncfxm4cdCazyc5HfhHmhP4rwDup/ly4RzgJOC4sYxTkiRJkiRJkiajNDlYTTZJCqCqMt6xrAh9fX3V398/3mFIkiRJkiRJ0jJJclFV9XUb86WzkiRJkiRJkiRNACbsJUmSJEmSJEmaAEzYS5IkSZIkSZI0AfjS2UlqutSulyRJkiRJkqTpwhP2kiRJkiRJkiRNACbsp6AklaSWYt1Z7drtxiiOBe1+c8diP0mSJEmSJEmaykzYS5IkSZIkSZI0AVjDXp3eCqwBXDvegQx2yeIlzN5/4XiHIUnShLRo3pzxDkGSJEmSNAZM2OvvqmrCJeolSZIkSZIkabqwJM4klWSrJD9KckuSvyX5ZZJ3DjP/73Xtk+yV5IIkt7X9a7f9XWvYd9aiT7JJkqOS3JTkniSXJfnXJD39LiV5Q5K7k9yeZIel+CeQJEmSJEmSpCnFE/aTUJJtgVOB1YHfA78C1ge+luSpI6z9MrAvcB5wMrAZMNoX1G4N/CfwF+BM4LHAi4F5wBOBfxxl/B8EPgvcCMypql+N8v6SJEmSJEmSNGWZsJ9kkqwOHEmTrD8I+EhVDZyc3xY4ZYQt3gI8v6ouXIrbvx84EPhkVT3Y3vMlNMn7fZN8pqquGyb2RwBfpEns/xbYyTI8kiRJkiRJktSwJM7k83pgFnAl8LGBZD1AVZ0NfHWE9Z9ZymQ9wP8ABw4k69t7ngP8mOZ36aVDLWy/aDiWJll/DvCikZL1SfZO0p+k/4E7lyxlyJIkSZIkSZI0OZiwn3y2bdujq+qBLuPfGWH9cctw71M6vyDocFnbPmGIdesCZwC7AkcDr6yqv450s6qaX1V9VdU3Y42ZSxWwJEmSJEmSJE0WlsSZfJ7YtlcPMb5ohPXXLMO9hzoRf1vbrjbE+EE0v2sLgT2GSPpLkiRJkiRJ0rTmCftppqruWoblD448patjgLuBHYE9luH+kiRJkiRJkjRlmbCffBa37ewhxofqH08/AXamSdp/O8k7xzkeSZIkSZIkSZpwTNhPPme37RuTzOgyvueKDGa0qupM4JXA7cD8JO8d55AkSZIkSZIkaUKxhv3k80NgHrAJcECSjw/UhE/yIuA94xnccKrq50m2B34MfDnJGlX1mdGs3WrWTPrnzVm+AUqSJEmSJEnSOPKE/SRTVXcCb6YpL/NR4LdJjkpyJs3p+/njGd9IquoiYDvgJuDgJJ8Y34gkSZIkSZIkaWIwYT8JVdUZwPOAE4HHA7sC6wD/UFUfGM/YRqOqfgO8BLie5q8EDh7nkCRJkiRJkiRp3KWtpiJNaH19fdXf3z/eYUiSJEmSJEnSMklyUVX1dRvzhL0kSZIkSZIkSROACXtJkiRJkiRJkiYAE/aSJEmSJEmSJE0AJuwlSZIkSZIkSZoATNhLkiRJkiRJkjQBmLCXJEmSJEmSJGkCMGGvFSbJ3CSVZMF4xyJJkiRJkiRJE81K4x2ANBqXLF7C7P0XjncYkiSNq0Xz5ox3CJIkSZKk5cgT9pIkSZIkSZIkTQAm7AVAkq2TnJDkliR/S3JRkne0Y5WkuqzZMMnhSa5Kck+SvyY5M8keXeYuAo5oL982sKclciRJkiRJkiSpYUkckeRlwEJgNeAy4GLg8cD8JFsMseZ5wKnA2sDVwI+ARwPbAdsl2RF4W1UNJPp/CDwPeCFwJXBux3adP0uSJEmSJEnStGTCfppLsgbwXZpk/SeBAwaS7EleAPy4y5rVgB/QJOu/COxXVQ+0Y1sCpwNvAc4DvgZQVfslmUuTsD+3quYu1weTJEmSJEmSpEnGkjh6PbA+8AfgwI4T8VTVz4HDu6x5A7ABsAj40ECyvl3zG+AT7eV+yxJYkr2T9Cfpf+DOJcuylSRJkiRJkiRNeCbstW3bfr+qHuwyftQwa46qqvu6jC8ACtgkyaylDayq5ldVX1X1zVhj5tJuI0mSJEmSJEmTggl7DSTUrxlivFv/wJqruy2oqruBPw6aK0mSJEmSJEkahgl7Dagh+ruduh9pjSRJkiRJkiSpRybsNXASfsMhxmFUxEoAACAASURBVGd36Vvctht1W9C+lPYJg+ZKkiRJkiRJkoax0ngHoHF3DvB2YPckB3apY/+mLmvOBvYC3pTkE1V1/6DxtwEBrqiqzoT9vW3b8+/dVrNm0j9vTq/LJEmSJEmSJGnS8IS9jgFuAp4CfCRJBgaSbAP8wxBrrgOeDByU5BEda54KHNheHjJo3UDyfouxCV2SJEmSJEmSpg4T9tNcVf0NeAtwD/BJ4NIkRyU5AzgP+EY79b6ONXcDuwO3AvsBf0jyvSQ/Bi4GHgd8B5g/6HbnAzcCz0rSn+RbSb6R5O3L7wklSZIkSZIkaXIwYS+q6r+BFwAnAesDuwLrAPsCX2in/WXQmvOBrYGvAjOA1wHbAL8A3gy8rapq0Jp7gB2BhTSn899MU1pn2+XxXJIkSZIkSZI0mVjDXgBU1S+BXQb3J3lL++NFXdZcA7ynx/v8GnjV0sQoSZIkSZIkSVOZJ+xFkscm2bBL//OAz7aXC1ZoUJIkSZIkSZI0zXjCXgBPB/47yW+Aq4F7gY2AZ7bj36mqY8crOEmSJEmSJEmaDkzYC+Ay4Cs0teRfBKwF3AacQXOy/rvjFpkkSZIkSZIkTRMm7EVVXU/zgllJkiRJkiRJ0jixhr3GXJLVksxLckWSe5JUkos7xjdIcmSSPya5vx3/4njGLEmSJEmSJEnjzRP201SSucARwLeqau4Yb/8p4IPATcAJwJ3Ate19AxwLPAf4LXAmcB9w4RjHIEmSJEmSJEmTigl7LQ9vaNsXV9Xlg8Zm0yTrrwWeUVX3j2bDSxYvYfb+C8cuQkmSJrhF8+aMdwiSJEmSpBXMkjhaHjYA6JKs//sYcPVok/WSJEmSJEmSNB2YsJ9ikmye5FtJrklyb5LbkyxK8qMku7VzFtGUwwF4W1tDfuCzoGOvpyb5ZJKft/Xm703y5ySnJNmxy70XJSkg7XXnvnPbsbPb6dt2ji/HfxJJkiRJkiRJmhQsiTOFJNkKOA9YC7gMOAkoYBawA7A6Tf34HwLPA14IXAmc27FN588fAPYCfgf8GrgN2AjYCdgpyQer6vMd838IrAu8rb3+VsfYFe3149tYbgJOW6YHliRJkiRJkqQpxIT91PLPNMn6D1fVQZ0DSdYEtgKoqv3al86+EDh3mJfOfgf4VFUtGrTXNsBPgHlJflBV1w/s246/rb0evO+5SbajSdhfthxeditJkiRJkiRJk5YlcaaWx7XtqYMHquqOqvpFL5tV1dmDk/Vt/wXAocDKwGuWIk5JkiRJkiRJ0iCesJ9aLgR2Br6a5GPAOVV1z7JsmGQtYA6wNfBoYJV2aNO23WxZ9h/h3nsDewPMeNR6y+s2kiRJkiRJkjQhmLCfWj4LvBjYnqZkzT1JLqZ50et3q+qSXjZL8hrgv2gS9UN51FLGOqKqmg/MB1h1/U19Ma0kSZIkSZKkKc2SOFNIVd1ZVS+neaHsAcA5wNOADwH/m+Tjo90ryROB79Ek6w8Cnk6TnJ9RVQH2GZg6Zg8gSZIkSZIkSdOYJ+ynoLbG/AUASVYB9gC+DhyQ5PtV9ftRbPMqYHXg2Kr6cJfxTcYqXkmSJEmSJEmSJ+ynvKq6t6oWAOfTnIZ/ejt0b9sO9aXNQBmc6wYPJFkV2G0Mw5QkSZIkSZKkac8T9lNIkn2B0wefoE+yEU1pHIBr2nZx224xxHaXte1uSeZV1U3tXqsAXwY2GrPAR2GrWTPpnzdnRd5SkiRJkiRJklYoE/ZTy97AYUmuAn4D3AE8HngRsApwdFVd2M49H7gReFaSfuBS4D7gvKo6AjgR+BXwTODyJGcBdwMvBGYCXwLet4KeS5IkSZIkSZKmPEviTC0fBb4G3Aa8AHg9sClwNrA7sOfAxKq6B9gRWAg8GXgzsBewbTt+f/vzZ4AbgFcCL6Z5ke2zaZL5kiRJkiRJkqQxkqoa7xikEfX19VV/f/94hyFJkiRJkiRJyyTJRVXV123ME/aSJEmSJEmSJE0AJuwlSZIkSZIkSZoATNhLkiRJkiRJkjQBmLCXJEmSJEmSJGkCMGEvSZIkSZIkSdIEYMJekiRJkiRJkqQJwIS9JEmSJEmSJEkTwErjHYA0GpcsXsLs/ReOdxiSJK0Qi+bNGe8QJEmSJEnjwBP2kiRJkiRJkiRNACbsJ6gklaTan+cm6U/ytyQ3JvlmkvXasdWSHJjkD0nuTnJtkk8nWXmYvXdIcmKSm5Lcm+SGJN9LslWXubPbWBalsW+Si5PcmeSvSU5IsmWXddu1684aIoa/77u0/0aSJEmSJEmSNJWYsJ/gkhwMfA24BTgNKOAdwE+TrAmcDvwjcClwBvAY4MPAYUPs95/tPjsBVwLHAzcAbwQuTLLzMOEsAD4P/AlYCCwBdgHOS7LRsjynJEmSJEmSJE131rCf+N4GbF1VvwNIsg7wC+DpbXsr8OSqWtKObw38D/DOJJ+uqmsGNkrybuB9NMn911fVZR1juwLHAEcm2aiq/joojg2BFwNPq6or2zWrAscBOwP/BrxrrB9ekiRJkiRJkqYLT9hPfB8fSNYDtIn0r7aXTwX2HkjWt+MXA6cAAbYd6E8yA/h4e7l7Z7K+XXc8zUn+tYE3DxHL+waS9e2ae4AD28vte380SZIkSZIkSdIAE/YT32ld+q5o22s6k/kdLm/bJ3T0bQ2sD1xaVb8d4l5nt+3zu4zdP0QsA4n/J3QZWyZJ9m5r9/c/cOeSkRdIkiRJkiRJ0iRmSZyJ7/oufXcMM9Y5vlpH30CN+acNvMx2GOt16buhqu4f3FlVtyUBWHWEPXtWVfOB+QCrrr/pSDFLkiRJkiRJ0qRmwn6Cq6oHhxkebmywGW27GPjpCHMv69LXy71Gw7/ukCRJkiRJkqQOJuynj+va9oaqmrsC7ndv2645xPiGKyAGSZIkSZIkSZo0POU8fVwI3Aw8M8kmK+B+i9t24yQrdxnfeQXEIEmSJEmSJEmThifsp4mqui/JvwNfBI5P8o6qurBzTpJVgB2BP1RVt7I4vdzvmiRXAhsDHwTmddxnV+B9vey31ayZ9M+bsywhSZIkSZIkSdKE5gn7aaSq/hP4AvA04IIkv05yXJKjk/wMuAU4AZg9Rrf8N6CAg5JclOSYJBcDxwGfHaN7SJIkSZIkSdKUYMJ+mqmqDwDbAkcD6wBzaE7VrwucDOwJ/GyM7nUMsCtwPrAFsANwK7AT8I2xuIckSZIkSZIkTRWpqvGOQRpRX19f9ff3j3cYkiRJkiRJkrRMklxUVX3dxjxhL0mSJEmSJEnSBGDCXpIkSZIkSZKkCcCEvSRJkiRJkiRJE4AJe0mSJEmSJEmSJgAT9pIkSZIkSZIkTQAm7CVJkiRJkiRJmgBM2EuSJEmSJEmSNAGsNN4BSKNxyeIlzN5/4XiHIUnSmFo0b854hyBJkiRJmkA8YS9JkiRJkiRJ0gRgwl49STI7SSVZNMycSlKD+jZP8q0k1yS5N8ntSRYl+VGS3ZZ74JIkSZIkSZI0wVkSR8tdkq2A84C1gMuAk4ACZgE7AKsDx45bgJIkSZIkSZI0AZiw14rwzzTJ+g9X1UGdA0nWBLYal6gkSZIkSZIkaQIxYa8V4XFte+rggaq6A/hFt0VJ9gb2BpjxqPWWW3CSJEmSJEmSNBFYw14rwoVt+9Ukr0iy6mgWVdX8quqrqr4Za8xcjuFJkiRJkiRJ0vgzYa8V4bPA6cA2wE+AJUnOT3JwW99ekiRJkiRJkqY9E/YaU0ke9jtVVXdW1cuB5wEHAOcATwM+BPxvko+v0CAlSZIkSZIkaQIyYa9e3du2aw4xvuFQC6vqgqo6sKpeCTwGeDtwP3BAks3HNkxJkiRJkiRJmlxM2KtXf6ZJ2j8mSbc3we48mk2q6t6qWgCcDwR4+phFKEmSJEmSJEmT0ErjHYAml6q6L8nPgO2BA5P8Q1UVQJIXAZ8cvCbJvsDpVfX7Qf0b0ZTGAbhmuPtuNWsm/fPmjMUjSJIkSZIkSdKE5Al7LY2P05yyfw9waZJjklwInA0c3mX+3sBlSa5MckKSI5OcDvwOWAc4uqouXFHBS5IkSZIkSdJEZMJePauqn9OcsD8d2ICHyuC8tao+1mXJR4GvAbcBLwBeD2xKk+DfHdhzeccsSZIkSZIkSROdJXG0VKrqXODlQ4xl0PXJwMkrIi5JkiRJkiRJmqw8YS9JkiRJkiRJ0gRgwl6SJEmSJEmSpAnAhL0kSZIkSZIkSROACXtJkiRJkiRJkiYAE/aSJEmSJEmSJE0AJuz1MEkWJakks8c7FkmSJEmSJEmaLkzYS5IkSZIkSZI0Aaw03gFoQtoeWBlYPN6BDLhk8RJm779wvMOQJGnMLJo3Z7xDkCRJkiRNMCbs9TBVdeV4xyBJkiRJkiRJ040lcfQwnTXsk8xIsri9fsYwa37YznnvoP4keWOSnyT5S5J7klyb5OvWyJckSZIkSZKkh5iw17Cq6gHgO+3l3G5zkjwaeDVwL3BUR//KwA+B7wEvAn4LnAj8DXgn8MskfcsrdkmSJEmSJEmaTEzYazQWtO0eSbqVUXojsApwUlXd0tH/78DrgHOAzarqJVX1hqraAvhHYB3g6CH2lCRJkiRJkqRpxYS9RlRVlwHnA48Fdu4yZW7bLhjoaE/dvw+4A3hDVV0/aM9DgYXAxsBO3e6bZO8k/Un6H7hzyTI+hSRJkiRJkiRNbCbsNVoL2nZuZ2eSLYDnADcCp3UMvRRYHTi7qv40xJ5nt+3zuw1W1fyq6quqvhlrzFzKsCVJkiRJkiRpcrAUiUbraOALwJwkj6mqm9v+t7XtkVV1f8f8jdp2TpIaYe/1xjBOSZIkSZIkSZqUTNhrVKpqSZLjgTcBewBfTvII4M3tlAWDlsxo29/TlNMZzgVjFackSZIkSZIkTVYm7NWLBTQJ+7nAl4FXALOAi6rqN4PmXte2l1TV3BUUnyRJkiRJkiRNWibs1YufAtcDz0qyJQ+Vw1kwxNz7gJcnWbuqbl2WG281ayb98+YsyxaSJEmSJEmSNKH50lmNWlU9CHy7vXwfsCtwL3BUl7k3AYcBawMnJnnK4DlJHplkjySPW35RS5IkSZIkSdLk4Al79WoB8GHgXe31sVV1yxBzPwQ8Adgd+E2Si4GrgAJmA88AVgW2AG5afiFLkiRJkiRJ0sTnCXv1pKouB87r6FowzNz7qur/AbsAJ9Mk73cFXg48Evge8FrgyuUVryRJkiRJkiRNFp6w18NU1ewRxl/U434nASctS0ySJEmSJEmSNNV5wl6SJEmSJEmSpAnAhL0kSZIkSZL0/9m78zC7y/ru4++PibJKBKSAYAmItIC4dRQQlChV0VSlbC4oxAWs4va0PEixVhSXKO4FhYgKFVDZpY3gAgQFBJ0oPgEFRRiWgAuCQQxr8n3+OL/B43hmJslMcs7MvF/XNdc9595+34P56zO390+SeoCBvSRJkiRJkiRJPcDAXpIkSZIkSZKkHmBgv4YlqSTV7TokSZIkSZIkSb3FwF6SJEmSJEmSpB4wvdsFSCti0eIlzDxyfrfLkCRpWANzZ3e7BEmSJEnSBOcJe0mSJEmSJEmSeoCBfRclOTTJT5IsTfL7JOckeUqHeTObu+8HRtir49347f1J3pjkqiT3NP2Pa5u3b5Irktyb5O4k307y3CSzmrkLhnnuE5N8Jsn1Se5r9r48yZwk6TB/QbPfrCTPSzI/yZ1JlifZe8X+y0mSJEmSJEnS5GNg3yVJPgV8HlgCfAO4E/hn4Koku6+G5/0XMA94APhfYCEwGOQfBZwF7AJcDVwAbApcArx8hD2fDywC3kHr39KFwFXAU4EvA6eMUNL+zf5/C3wHuAh4aFW/nyRJkiRJkiRNdN5h3z2HAs+vqu8BNKfRPwwcCZyeZLuqun8cn/c6YNeq+mF7Z5J/AI6hFZa/vKoubBt7B/CZTpsl2Rw4G1gfmAP8d1UN/gHgicD5wOuSXFxVJ3fY4q3Am6tq3hi/lyRJkiRJkiRNCp6w757PD4b1AE3Y/R/AjcATgX3H+XkfGxrWNw6j9e/gv9vD+qamz9I6Md/Ju4ANgU9U1SmDYX2z7lbgkObj24dZ/x3DekmSJEmSJEn6MwP77jl1aEdVLQO+2nycNc7PO2eY/j2a9vRhxr86TP9Lm/bMYcYXAvcCT0+y9krU84jmjv/+JP3Lli4ZbbokSZIkSZIkTWgG9t1z0zD9A0275Tg/7+Zh+rcYZXy4/m2a9keDL7Zt/wGW07ou51HAxiux7yOqal5V9VVV37R1Z4w2XZIkSZIkSZImNO+wnwSSjPqHl6q6b7Qpw/QvH6Z/WtN+HRjtrv0HOvSNVo8kSZIkSZIkTSkG9t0zE/jpMP0Ai9v6Hmza9YfZa6sx1HE7sHWzx40j1DPUrcC2wDFVde0Yni9JkiRJkiRJwitxuunAoR1JpgGvaj4uaBv6Ha3QfuMkm3TY66Ud+lbU4ItvXz3M+KuG6b+gafcfw7MlSZIkSZIkSQ1P2HfPW5OcX1WXASQJ8H7gSbRO1589OLGqHkryfWBP4P1JDquqatbtDnxgDHUcDxwEHJzkzKr6zuBAksOAXYdZdyxwMHBUkt8BJ1bVw+0TkuwI/F1VjfqC2dHstMUM+ufOHus2kiRJkiRJktSzPGHfPV8ALk1ySZLTgZ8D76F1t/uBHe6c/09ap+zfAlyb5MwkPwQuBT63qkVU1Y+A9wGPAb6V5PtJTktyNfBZ4DPN1AeHrLsV2Bv4I3AccEuS7zRr5ye5BbgGOGBVa5MkSZIkSZKkqcTAvnv+FXg7sBGt4PtvgPOAnavq0qGTq+oKWifsLwKeyJ+vwTmoqt47lkKq6hhawfpVwDOB2cCdzfP6m2l3dlh3CbAj8GHgt8AuwL5N343Av9P6I4QkSZIkSZIkaRRpblaROkryReANwOFV9Ylu1dHX11f9/f2jT5QkSZIkSZKkHpZkYVX1dRrzhL1Isl2Sxw3pS5LXA68HHgC+2pXiJEmSJEmSJGmK8KWzgtZLZ/9vkp8AtwLrADsAWwPLgbdX1e1drE+SJEmSJEmSJj0DewF8E3gSsDOt++fXAn4HnAV8uqou72JtkiRJkiRJkjQlGNhr8IW2V3S7DkmSJEmSJEmayrzDXpIkSZIkSZKkHmBgrzFJ8ooklye5J0k1P09fwbWVpFZ3jZIkSZIkSZI0EXgljlZZkmfQuuce4GLgjub3u7pTkSRJkiRJkiRNXAb2Gou9af0b+nBVvWcV1m+/ohMXLV7CzCPnr8IjJElavQbmzu52CZIkSZKkScLAXmPxxKb95aosrqrrxrEWSZIkSZIkSZrQvMNeKy3J0c3d869vur7cdn/9yUlmNb8vSLJukg8muS7JfUmubtvHO+wlSZIkSZIkqeEJe62Kq4FTgN2BJwGXAzc0Y5e1zVsbWEDr6pvvAT8FHrPGqpQkSZIkSZKkCcTAXiutqs4DzktyMq3A/qSqOnlwPMms5tedaYX721bVb9ZwmZIkSZIkSZI0oXgljla3wwzrJUmSJEmSJGl0BvZanX5TVVes6uIkhybpT9K/bOmS8axLkiRJkiRJknqOgb1Wp5vHsriq5lVVX1X1TVt3xnjVJEmSJEmSJEk9ycBeq9N93S5AkiRJkiRJkiYKA3tJkiRJkiRJknqAgb0kSZIkSZIkST1gercLkFbETlvMoH/u7G6XIUmSJEmSJEmrjSfsJUmSJEmSJEnqAQb2kiRJkiRJkiT1AK/E0SqrqjnAnA79C4CswPpR50iSJEmSJEnSVOEJe0mSJEmSJEmSeoCBvSRJkiRJkiRJPcDAXpIkSZIkSZKkHmBgL0mSJEmSJElSDzCwlyRJkiRJkiSpBxjYa7VKMidJJTl5SP/Mpn+gO5VJkiRJkiRJUm8xsJckSZIkSZIkqQdM73YB0opYtHgJM4+c3+0yJEl6xMDc2d0uQZIkSZI0yXjCXpIkSZIkSZKkHmBgP8klmZbk7iQPJXnskLGXN/fIV5KXDBnboFlzd5JHtfWvl+SIJD9Kck+S+5Jcm+ToJOuvqe8lSZIkSZIkSZONgf0kV1XLgAW0rj+aNWR4z7bf/3HI2B7NmkuqajlAki2BHwIfBbYCfgB8G9gQeB9weZINx/cbSJIkSZIkSdLUYGA/NVzUtHsO6d8T+A3wW/46sB+cexFAkgBnADsAxwFbVdWLq+oVwJOAU4GnAp8a9+olSZIkSZIkaQowsJ8avtu0j4TySTYDdgQubn52SvI3bWv+IrAH9gJ2Ba4E3llV9w1ObH7/F1rB/4Hjdco+yaFJ+pP0L1u6ZDy2lCRJkiRJkqSeZWA/BVTVdcDtwI5NUA/wgqb9bvMTmpA+yabAU4DFzVqAlzbt2YNX5Ax5xp+AflrX6DxrnOqeV1V9VdU3bd0Z47GlJEmSJEmSJPUsA/upY+i1OIPtYGAPfz6B/4IhawC2adpj215U+xc//DnU32Sca5ckSZIkSZKkSW96twvQGvNd4HW0gvrTmvaGqroFIMmv+Oswvz2wn9a0lwIDozzr5nGoV5IkSZIkSZKmFAP7qeORE/ZJngRsBZzQNv5d4M1Jnsxfnr4fdGvTnllVx6/WSiVJkiRJkiRpCvJKnCmiqhYD1wN/C7yl6W4/QT/4+6HATOC6qrq9bfyCpt1/NZYpSZIkSZIkSVOWJ+ynlu8CfwccBiwHLm4buxgo4G3N54v+cinnAQuBPZKcABxVVXe1T2heaPuyqvrCeBe+0xYz6J87e7y3lSRJkiRJkqSe4Qn7qWUwhF8buLo9cK+q3wNXN2Pwl9fhUFXLgb2BRcCbgYEk309yepJzklwD3A4cs5q/gyRJkiRJkiRNSgb2U8sltE7Ww5BAfkjfcmDB0MGqug14Nq1T+D8BdgT2A3YF7gc+AewzrhVLkiRJkiRJ0hSRqup2DdKo+vr6qr+/v9tlSJIkSZIkSdKYJFlYVX2dxjxhL0mSJEmSJElSDzCwlyRJkiRJkiSpBxjYS5IkSZIkSZLUAwzsJUmSJEmSJEnqAQb2kiRJkiRJkiT1AAN7SZIkSZIkSZJ6gIG9JEmSJEmSJEk9YHq3C5BWxKLFS5h55PxulyFJmqIG5s7udgmSJEmSpCnAE/aSJEmSJEmSJPUAA/sJIsnOSY5N0p/kN0keTHJ7krOS7NJh/tFJqmm3THJykjuSLE3y4yT7tc3dLck3k/y+Gb8kybOGqeMfkxyf5KfN/AeS3JzklCTbd5g/p6ljxJ/x/a8lSZIkSZIkSROPV+JMHB8CZgHXAj8EHgD+DtgX2DvJq6vqzA7rZgILgXuBS4Etgd2AM5K8ptnn68DVwHeApzXPuSTJM6vqF0P2O6HZ41rge03fU4CDgP2SvLiqLmubfwNwyjDfadumluWjf31JkiRJkiRJmtwM7CeOjwMHVtVv2juTvAw4GzghyfyqWjpk3cHAZ4B/q6plzZq3AJ8DjgXWa/Y9sxl7FHA68Erg3cAbh+x3OLCgqv7QVkOAQ2mF+fOS7FhVBdCE95cN2YMkmwNXNh/ftTL/ISRJkiRJkiRpMvJKnAmiqi4cGtY3/f8DnAlsBDy/w9IB4IjBsL4xD/g9rZPyF7afzK+q5cBHm49/tV9Vndce1jd9VVUnAlcA2wM7jPRdkqwH/C/wt8Cnquq/hpl3aHMFUP+ypUtG2lKSJEmSJEmSJjxP2E8gSR4P/BOtK2gex5//93tK024HzB+y7JKqerC9o6qWJRkANgYu7PCoXzbtE4apY0tgNvD3wAbAtGZos7Y6rh1m7TTga8AzgXNondjvqKrm0frjAmtt/mTvuZckSZIkSZI0qRnYTxBJ3gx8Elh3hGkbdOi7bZi59w43XlX3tm65Ya0OdbwfOIqR/+10qmPQZ2n90eEq4LXNiX5JkiRJkiRJmvK8EmcCSPIs4PPAo4H/S+tk+/rAo6oqwEcGp3ZYPlogvsKBeZJ9gf8E7gMOAZ4ErFtVaer46gh1kORw4K3AjcDLquq+FX22JEmSJEmSJE12nrCfGPalFYJ/tqo+3mF82zVUx/5Ne1RVnbQydTRh/8eAu4CXVNXvVkN9kiRJkiRJkjRhGdhPDBs17a1DB5JsArywB+rYHnhGp0VJdgVOBR4EXlFVv1jZB++0xQz6585e2WWSJEmSJEmSNGF4Jc7EcF3THpRk/cHOJI8FvkTrBbRrso5DkjymrY6/AU6hwx+AkjwJOJ/WffhzquqyNVGoJEmSJEmSJE00nrCfGL4MvAt4JnBjkstoXZHzPFqn1r8EvGEN1PFp4CBgNnBDkquAdYA9aJ26Pw/Ye8iao4DHA78G9kqyV6eNq2rOaqpZkiRJkiRJkiYEA/sJoKruTtIHHEPr+pvZwG+Bc2i9BPbNa6iOG5M8A/gwsDvwMmAxMA/4APCZDsumNe1mwMEjbD9n/CqVJEmSJEmSpIknVdXtGqRR9fX1VX9/f7fLkCRJkiRJkqQxSbKwqvo6jXmHvSRJkiRJkiRJPcDAXpIkSZIkSZKkHmBgL0mSJEmSJElSDzCwlyRJkiRJkiSpBxjYTyFJKolvGZYkSZIkSZKkHmRgrzUmyZzmjwYnd7sWSZIkSZIkSeo107tdgLQiFi1ewswj53e7DEnSFDEwd3a3S5AkSZIkTUGesJckSZIkSZIkqQcY2E8ySXZKcm6Su5L8KcmPk7xplDVbJflckhuTPJDk7iSXJHnNMPOPbq62OTrJpklOTHJbs/amJHOTrD1kzQDw5ebjwYP36XtFjiRJkiRJkiS1eCXOJJJkD+ACYB3geuAnwObAiUl2GGbNLs2axwE3AecCGwGzgFlJ9gIOrqpOL6t9IrAQCHAFsAGwO/BuYAfg5W1zzwJ2AXYDfgVc1jbW/rskSZIkSZIkTUkG9pNEknWA02iF9R8B3jMYsjdB/jc7rFkbOINWWP9p4PCqWtaMPQW4CHgdcDlwYofHvgE4CTisqh5s1m0P/BB4WZLdqupygKo60y14dQAAIABJREFUPMkcWoH9ZVU1Z3y+uSRJkiRJkiRNDl6JM3nsB2xB6/T6e9tPxFfVpcAJHdbsT+uU/ABwxGBY36y5Bnhf8/HwYZ55K/COwbC+Wfdz4CvNxz1X6ZtIkiRJkiRJ0hRkYD957NG0X2sP3tt8pUPf4JrTq+qhDuMnAwVsm2SLDuMXV9V9Hfqva9onjFDvqJIcmqQ/Sf+ypUvGspUkSZIkSZIk9TwD+8ljy6a9aZjxgQ59gyF8xzVVdT9w+5C57W4Z5ln3NO3aw4yvkKqaV1V9VdU3bd0ZY9lKkiRJkiRJknqegb2gdYp+VSwf1yokSZIkSZIkaQozsJ88FjftzGHGO/UPrtmm04LmpbRPGDJXkiRJkiRJkrQaGNhPHpc27auSTOswfuAIa16dZHqH8YOBADdU1XgE9oMvp+30LEmSJEmSJEma0gxOJ4+zgLnAtsDRSf6zqgogye7AWzqsORP4ELA18JEk766q5c2aHYD3N/M+Pk41Dob+26/swp22mEH/3NnjVIYkSZIkSZIk9R5P2E8SVbUUeC1wP/AfwM+SnJ7kElon6ed1WHM/cADwB+Bw4BdJvprkW8DVwKbAVzqtXUVXAr8GnpmkP8kpSU5K8vpx2l+SJEmSJEmSJiwD+0mkqi4GdgHOBzYD9gY2BA6rqn8dZs2VwNOBE4BpwD7AzsAPaP0B4ODBk/rjUN8DwF7AfFqn+l8LvBHYYzz2lyRJkiRJkqSJLOOUxUqrVV9fX/X393e7DEmSJEmSJEkakyQLq6qv05gn7CVJkiRJkiRJ6gEG9pIkSZIkSZIk9QADe0mSJEmSJEmSeoCBvSRJkiRJkiRJPcDAXpIkSZIkSZKkHmBgL5IMJKkkM9v6Tm765qyG581s9h4Y770lSZIkSZIkaaIysNdKSTKnCdtPHmHOgmbOrDVXmSRJkiRJkiRNbNO7XYB61r8Dc4E7ul0IwKLFS5h55PxulyFJmqQG5s7udgmSJEmSJBnYq7OquoMeCeslSZIkSZIkaSrwShx11OkO++bO+S83Hw9uxgd/Tk4yK0kBezRzLhkyZ9Ya/RKSJEmSJEmSNIF4wl4r4yxgF2A34FfAZW1jlwG/Bk4B9gI2Bb7V9A1q/12SJEmSJEmS1MbAXiusqg5vTtzvBlxWVXM6TJuTZAGtwH5uVS1YYwVKkiRJkiRJ0gTmlTjqWUkOTdKfpH/Z0iXdLkeSJEmSJEmSVisDe/WsqppXVX1V1Tdt3RndLkeSJEmSJEmSVisDe0mSJEmSJEmSeoCBvSRJkiRJkiRJPcDAXpIkSZIkSZKkHmBgr5X1YNNOH+McSZIkSZIkSVIbA1WtrMVNu/0KzvnueDx0py1m0D939nhsJUmSJEmSJEk9ycBeK+tK4NfAM5P0A9cCDwGXV9WXmznnAnOAY5O8EPht039sVV2/huuVJEmSJEmSpAnBwF4rpaoeSLIX8CFgV+AZtK5Wmg58uZlzfpK3Am8G/hFYp1l+KmBgL0mSJEmSJEkdpKq6XYM0qr6+vurv7+92GZIkSZIkSZI0JkkWVlVfpzFfOitJkiRJkiRJUg8wsJckSZIkSZIkqQcY2EuSJEmSJEmS1AMM7CVJkiRJkiRJ6gEG9pIkSZIkSZIk9QADe0mSJEmSJEmSeoCBvSRJkiRJkiRJPWB6twuQVsSixUuYeeT8bpchSZpkBubO7nYJkiRJkiQ9whP2kiRJkiRJkiT1AAP7CS7JekmOSPKjJPckuS/JtUmOTrJ+27yvJakk7xxhr7c1c87qMLZzs8dtSR5M8rsk5yfZfZi9Kkk1v78yyQ+S3Jvkj0kuGm6dJEmSJEmSJE1VBvYTWJItgR8CHwW2An4AfBvYEHgfcHmSDZvpJzftnBG2PHjI3MHn/Fuz9wHAr4FvADcAs4FLkxwyQo0fAE4HHgTmA7cBLwAuSrLr6N9SkiRJkiRJkqYGA/sJKkmAM4AdgOOArarqxVX1CuBJwKnAU4FPNUu+AywGnp7kqR322wHooxXIX9jW/xLg48AdwK5V1VdV+1fVrsDzgHuB45NsN0yphwHPrqo9quqVwI7AF4DHAB8Yy38DSZIkSZIkSZpMDOwnrr2AXYErgXdW1X2DA83v/wL8FjgwyYZVtQz4SjNlTof9BvtOq6qH2/qPbto3VdVV7Quq6nLgGODRwJuHqfN9VbWwbc1y4L3Nx+cmefRwXzDJoUn6k/QvW7pkuGmSJEmSJEmSNCkY2E9cL23as5sQ/C9U1Z+AfmA68Kym++SmPTDJ9MG5SaYBrx0yhySPB54N3EPrqp1OLm3a4a63+d8Otf0GuBtYC9h4mHVU1bzmRH/ftHVnDDdNkiRJkiRJkiYFA/uJa5umPXbwBa9Df/hzqL8JQFVdT+su+r8BXtK21wuBzYGFVXVNW//WTbsB8PAwz/hh+zM6uGWY/nuadu0V+K6SJEmSJEmSNOlNH32KetS0pr0UGBhl7s1tv59M6zT8HOB/mr6OL5tte8YS4LxRnnFnp85Op/8lSZIkSZIkSX/NwH7iurVpz6yq41di3deBTwP/lGRj4GFgb+BB4PRhnvFQVc0ZQ62SJEmSJEmSpFF4Jc7EdUHT7r8yi6pqCXAu8Bjg1cAraV1L8z9VddeQuYuBRcDjk8waa8GSJEmSJEmSpOF5wn7iOg9YCOyR5ATgqKGBe5LNgJdV1ReGrD0ZeA2ta3EeaOvr5L3Ns05N8oaq+ouXzzYvrN0DWFpVV67ytxnFTlvMoH/u7NW1vSRJkiRJkiR1nYH9BFVVy5PsDXwTeDPwmiQ/pXWNzdrAdsAOwG+BoYH9Rc28f2g+/xq4cJjnfCPJvwEfA76V5BfA9cC9wGbAM4DHAW8BVltgL0mSJEmSJEmTnVfiTGBVdRvwbOBtwE+AHYH9aL1U9n7gE8A+HdYtB/67reu0qnp4hOd8kla4/0VaL6J9IfAyYEvge8AhwBlj/0aSJEmSJEmSNHWlqrpdgzSqvr6+6u/v73YZkiRJkiRJkjQmSRZWVV+nMU/YS5IkSZIkSZLUAwzsJUmSJEmSJEnqAQb2kiRJkiRJkiT1AAN7SZIkSZIkSZJ6gIG9JEmSJEmSJEk9wMC+hyWpJDVOe22Y5PNJbknyULP3ec3Yyc3nOeP0rDnNfiePx36SJEmSJEmSNBVM73YBWmO+AOwL3AScBTwA/HhNFpBkZvP8m6tq5pp8tiRJkiRJkiT1ulSNywFurQaDp+urKmPc59HAUuBhYNOqumfI+ObADOCOqloylmc1+80ANgeWVNUdbf0zWcXAfq3Nn1ybH/zpsZYmSdIjBubO7nYJkiRJkqQpKMnCqurrNOYJ+6lhc1r/Wy8eGtYDNKH6HX+1ahU1of+Yg39JkiRJkiRJmkq8w77LkuyU5NwkdyX5U5IfJ3nTKGvWS3JEkh8luSfJfUmuTXJ0kvWHzC3g5ubjVoP34jc/M5s5He+wb/arpt00yYlJbkvyQJKbksxNsnaH+v7qDvvm95uGqWNgZf6bSZIkSZIkSdJk5An7LkqyB3ABsA5wPfATWqfhT0yywzBrtgS+BewA/A74AXA/8CzgfcA/J5lVVXc3S04B1qd1f/2faN1fP+jeFSz1icBCIMAVwAbA7sC7mzpevgJ7XDZCHXeuYB2SJEmSJEmSNGkZ2HdJknWA02iF9R8B3lPNCwWaIP+bHdYEOINWSH4ccERV3de23zzgtcCngDkAVTWnOUm/L3BnVc1ZhXLfAJwEHFZVDzbP2x74IfCyJLtV1eUjbVBVJyX57hjrkCRJkiRJkqRJyytxumc/YAvgV8B7q+3tv1V1KXBChzV7AbsCVwLvHAzrmzX3Af8C/BY4MMmG41jrrcA7BsP65nk/B77SfNxzHJ/1iCSHJulP0r9sqVfiS5IkSZIkSZrcDOy7Z4+m/VpVLesw/pUOfS9t2rOravnQwar6E9BP6/858axxqbLl4vY/DrS5rmmfMI7PekRVzauqvqrqm7bujNXxCEmSJEmSJEnqGQb23bNl0940zPhAh75tmvbYIS9tfeSHP4f6m4xjrbcM039P0/7Vi2clSZIkSZIkSSvHO+wnlmlNeymdA/12N4/jc//qNL8kSZIkSZIkaXwZ2HfP4qadOcx4p/5bm/bMqjp+vAuSJEmSJEmSJHWPgX33XAq8AXhVkqM73GN/YIc1FwBvAvYHJmJgP/jS2pX+d7fTFjPonzt7nMuRJEmSJEmSpN7hHfbdcxZwB7AtcHSSDA4k2R14S4c15wELgT2SnJBko6ETkmyW5JDVVPNY/Y5WaL9pkg27XYwkSZIkSZIk9RID+y6pqqXAa4H7gf8Afpbk9CSX0Dp9P6/DmuXA3sAi4M3AQJLvN+vOSXINcDtwzJr6Hiujqh4C5tM6Yf+TJKclOSnJ3C6XJkmSJEmSJEldZ2DfRVV1MbALcD6wGa0wfkPgsKr612HW3AY8G3gb8BNgR2A/YFda4f8ngH1We/Gr7hDgi7ReoHsA8EbgVV2tSJIkSZIkSZJ6QKqq2zVIo+rr66v+/v5ulyFJkiRJkiRJY5JkYVX1dRrzhL0kSZIkSZIkST3AwF6SJEmSJEmSpB5gYC9JkiRJkiRJUg8wsJckSZIkSZIkqQcY2GuFJZmZpJIMdLsWSZIkSZIkSZpsDOwlSZIkSZIkSeoB07tdgLQiFi1ewswj53e7DEnSBDUwd3a3S5AkSZIkaVSesJckSZIkSZIkqQcY2E8Azb3x1fw+J0l/kj8l+XWSLybZpBlbO8n7k/wiyf1JbknyoSSP7rDnJknemeTCJDc185ckuTLJYUmmrWSNM5Jc3NR6XpJ12sY2TvLBJIuS3NvU/uMk/6dTbZIkSZIkSZI0FRnYTyBJPgqcCNwFXAgU8Abgu0nWBy4C3g5cC1wMbAwcBRzfYbsXA58GdgRuAs4Ffgw8HTgOODtJVrCuJwKXAc8HPgfsU1X3NWM7Af8PeA/wOGABcCmwFfBJ4IIkj1mJ/wySJEmSJEmSNCl5h/3EcjDw9Kr6OUCSDYEfAE9t2j8AW1fVkmb86cCPgDcl+VBV3dy210Jgl6q6qv0BSTYHvgm8AjgA+PpIBSV5WjN/c+DdVfWxtrF1gG8ATwD+Hfh4VT3cjG3U7P2PtP6ocPTK/seQJEmSJEmSpMnEE/YTy38OhvUAVXU3cELzcQfg0MGwvhm/mlaYHmCP9o2q6udDw/qm/w7giObjfiMVk+RFwPeBxwOvaQ/rG3OArYEzqmruYFjfPOcuWn+AeAg4bEVP80uSJEmSJEnSZOUJ+4nlwg59NzTtze1hfptfNu0Thg4kmQ68ANgV2AxYm1a4/9hmynbDFZLk9cA84F7gRVV1aYdpL23aMzvtUVW3J/klrT82PBn4xZBnHAocCjBtg02GK0WSJEmSJEmSJgUD+4nltg59944w1j6+dntnku2A84DtR3jeBsP0bwl8idYd+nt1Oqnf2KZpz1yBA/SbMCSwr6p5tP4owFqbP7lG20CSJEmSJEmSJjID+wmkqpaPMDzSWCdn0Qrrzwc+BvwcWFJVy5ow/3pap+07+S3wU2Av4NNJXlJVf+gwb1rTzgfuHKWe369k/ZIkSZIkSZI0qRjYT0FJ/h7YiVbwvk9VLRsyZdtRtniQ1ktpvw7sDVyc5IVVNTR0vxX4O+DzVTV/7JVLkiRJkiRJ0uTlS2enpo2a9vYOYT3AgaNtUFUPAvsDXwWeASxIsumQaRc07f6rWqgkSZIkSZIkTRWesJ+afknrCp2nJHleVX1vcKB5meyrV2STqno4yWuB+4A3AN9LsmdVDd6nPw94F3BwkgHgY1W1tH2PJFsDu1XVqSM9a6ctZtA/d/aKfTtJkiRJkiRJmoA8YT8FVdXvgM/R+oPNJUkuTnJ6kkW0XiY7dyX2Wg68CTgO2I5WaL91M3YvMBu4BXgfcGuSS5KcluT8JL8EbgTeNo5fT5IkSZIkSZImJAP7qeudwKG0Xh77bOAlwG+adt7KbFQtb6f18tqtaYX22zVji4CnAkfROtn/TGC/pr0TOKapQ5IkSZIkSZKmtFRVt2uQRtXX11f9/f3dLkOSJEmSJEmSxiTJwqrq6zTmCXtJkiRJkiRJknqAgb0kSZIkSZIkST3AwF6SJEmSJEmSpB5gYC9JkiRJkiRJUg8wsJckSZIkSZIkqQcY2E9iSQaSVJKZXXr+gub5s7rxfEmSJEmSJEmaSAzsJUmSJEmSJEnqAdO7XYC0IhYtXsLMI+d3uwxJUo8bmDu72yVIkiRJkrTKPGEvSZIkSZIkSVIPMLCfgpKsl+Q9SX6a5E/Nz9VJjkqy7gjrnpPk7CS/TvJg056VZJdVqOFdSZYluSPJP4ztG0mSJEmSJEnSxGdgP8UkeTzwA+CDwBOBbzU/WwEfAq5IslGHdW8Bvg/sA9wCnNW0+wKXJzlkBZ//qCSfAj4F/ALYtaoWjvV7SZIkSZIkSdJEZ2A/9XwO2IlW+L5NVe1TVfsA2wBXAE8Djm9fkORpwGebjwdU1bOr6jVV9Wzg1U3/8UmeMtKDk6wNnAG8q3n+c6pqYHy+liRJkiRJkiRNbAb2U0iSrYD9gOXAIVX1h8GxqrobOKQZOyDJE9uWvoPWC4q/VlVntu9ZVV8DzgQeDbxzhGdvDFxE60T+GcALm2eOVO+hSfqT9C9bumTFv6gkSZIkSZIkTUAG9lPLc4EAV1bV9UMHq+pnwFW0/l08r21oj6Y9eZh9v9S0s4YZHzy9/xzgk8CrquqB0YqtqnlV1VdVfdPWnTHadEmSJEmSJEma0Azsp5YtmvamEebcOGTuiqzrtKbdicB2wOer6t+qqkYrVJIkSZIkSZKmGgP7qWlVA/NVXXcarat2DkryglXcQ5IkSZIkSZImNQP7qWVx024zwpzBscVtfaOt67Sm3cnAa4G1gPlJXjpymZIkSZIkSZI09RjYTy3fp3VKfpck2w0dTLI9sDOt0/Dfaxu6tGkPGmbf1zftguEeXFVfBQ6g9W/u3CT7rFTlkiRJkiRJkjTJTe92AVpzqurmJGcD+wEnJtm7qpYAJHkcrbvmHwV8rapubVv6WVph/auTnFNV5w4OJNmfVhD/UDNvpOefm+QVwDnA15Mc1AT5o9ppixn0z529wt9VkiRJkiRJkiYaA/up5y3A3wOzgBuTLGj6nw9sCPwUOKx9QVX9NMk7geOAc5JcBfwK2BZ4Nq0T+W+rqkWjPbyqLkwyGzgfODXJOlX1pfH4YpIkSZIkSZI0kXklzhRTVXcCuwLvpXXn/Euan1uB9wC7VdVdHdZ9DngucC6wNa1T9TNpnZbfvarmrUQNlwAvAv4InJTksFGWSJIkSZIkSdKkl6rqdg3SqPr6+qq/v7/bZUiSJEmSJEnSmCRZWFV9ncY8YS9JkiRJkiRJUg8wsJckSZIkSZIkqQcY2EuSJEmSJEmS1AMM7CVJkiRJkiRJ6gEG9pIkSZIkSZIk9QADe0mSJEmSJEmSeoCB/RSTZCBJJZnZpefPap6/oBvPlyRJkiRJkqReNb3bBUgrYtHiJcw8cn63y5Ak9bCBubO7XYIkSZIkSWPiCXtJkiRJkiRJknqAgf0UkWROkgK2arpuaq6mGfyZmeTRSV6X5KtJrk/yxyRLk/wsyUeTbDTM3k9IclySG5Lc36y5JcmFSQ5tm7cAuKT5uMeQ5y9Ynd9fkiRJkiRJknqdV+JMHTcApwD7AesBZwP3to3fC2wK/DdwN3AdcDWwAdAHHAHsl2TnqrpzcFGSzYGFwGbAzcCFwAPAFsAuwExgXjP9QuB+4MXAb5rPg64bt28qSZIkSZIkSROQgf0UUVWXAZclmUUrsD+8qgba5yR5LPBy4MKqeqitfx3geOD1wDHAW9qWHUIrrD8ReEtVVdu6tYCd22qYm+RKWoH9dVU1Zxy/oiRJkiRJkiRNaF6Jo0dU1R+r6n/aw/qm/z7gbcDDwL5Dlm3atBe2h/XNugeq6nurWk+SQ5P0J+lftnTJqm4jSZIkSZIkSROCJ+z1V5I8A9iT1nU26wFphh4ENkmyYVXd3fT9EHgr8NEkAN+pqj+NRx1VNY/mOp21Nn9yjTJdkiRJkiRJkiY0A3s9Isn6wGm0rsUZyQa07rkH+ArwIuA1wLnAsiTXAN8DvlZVV6ymciVJkiRJkiRpUvFKHLX7CK2w/mdN+wTgMVWVqgpwRzNv8MQ9VbW8qg4EdgL+HbgA+Fvg7cDlSb64BuuXJEmSJEmSpAnLE/Zqt3/TvrKqrmkfSLIerZfLdtTMv6aZ+yjgpcDpwBuSfL2qvr16SpYkSZIkSZKkycET9lPPg03b6Y81GzXtrR3GXkPbyfqRNKfu/xf4RtP1tBV8viRJkiRJkiRNWYamU89i4MnA9sANQ8auo3W1zVtpXY8DQJK+9s/tkhwEXFNVPx7SvzGwa/Px5iHPB9g2yfSqenhFit5pixn0z529IlMlSZIkSZIkaUIysJ96zgVmAacl+Tbwh6b/3cAHgDOBDyd5JfBzWvfY7w58DdgN2GrIfvsApyRZDFzd7Lcx8FxgPeD7zTMBqKqbk/wEeAbw/5IsBB4Arq+qY8f920qSJEmSJEnSBGFgP/UcB2wAHAj8E7BW0//BqjoryfOB/6R1jc22wC+BdwHHAzd22O8TwADwHKAP2BC4E/gxcDJwWlU9NGTNPsBHgT2AVwPTgEsBA3tJkiRJkiRJU1aqqts1SKPq6+ur/v7+bpchSZIkSZIkSWOSZGFV9XUa86WzkiRJkiRJkiT1AAN7SZIkSZIkSZJ6gIG9JEmSJEmSJEk9wMBekiRJkiRJkqQeYGAvSZIkSZIkSVIPMLCXJEmSJEmSJKkHGNhrjUoykKSSzOx2LZIkSZIkSZLUS6Z3uwBpRSxavISZR87vdhmSpB41MHd2t0uQJEmSJGnMPGEvSZIkSZIkSVIPMLDXI5Ksl+SIJD9Kck+S+5Jcm+ToJOsPmfvYJIcmOS/JDUmWJrk3yU+SvCfJOkPmz0lSwFZN103N1TjlFTmSJEmSJEmS5JU4aiTZEvgWsAPwO+AHwP3As4D3Af+cZFZV3d0seRpwIvBb4HqgH9gY2Bn4IPDyJHtU1f3N/BuAU4D9gPWAs4F720po/12SJEmSJEmSphwDe5EkwBm0wvrjgCOq6r5mbB1gHvBa4FPAnGbZALAnsKCqlrft9Tjgq8BewDuBjwJU1WXAZUlm0QrsD6+qgdX7zSRJkiRJkiRp4vBKHEErXN8VuBJ452BYD9D8/i+0TtIfmGTDpv+2qrq4Paxv+v8AvKP5uN9Yimqu3OlP0r9s6ZKxbCVJkiRJkiRJPc8T9gJ4adOePTSAB6iqPyXpb+Y9C/g2PHIyfzfgecCWwDpAmh+A7cZSVFXNo3W6n7U2f3KNZS9JkiRJkiRJ6nUG9gLYpmmPTXLsKHM3AUiyKXAO8JwR5m4wDrVJkiRJkiRJ0pRgYC+AaU17Ka276Udyc9OeRCusvxw4Gvgp8IeqeijJY4AHxr9MSZIkSZIkSZq8DOwFcGvTnllVx482Ocl6tK7HWQb8U3Nvfbttx7k+SZIkSZIkSZr0DOwFcAHwJmB/YNTAHphB64XFf+gQ1gMcOMLaB5t2pf7t7bTFDPrnzl6ZJZIkSZIkSZI0oTyq2wWoJ5wHLAT2SHJCko2GTkiyWZJDmo+/Ae4GHpfkNUPm7QX86wjPWty024+9bEmSJEmSJEmaPAzsRVUtB/YGFgFvBgaSfD/J6UnOSXINcDtwTDN/GfChZvlpSa5o5l5F67T+J0d43Llt685KclLzs/Hq+G6SJEmSJEmSNFGkqrpdg3pEkrWBNwIHADsB6wO/p3Uq/hLg3Kq6om3+vsDhwA5AgGuA46vqtCQFUFUZ8oxHAUfRujZna2CtZmjrqhoYrra+vr7q7+8fh28pSZIkSZIkSd2TZGFV9XUcM7DXRGBgL0mSJEmSJGkyGCmw90ocSZIkSZIkSZJ6gIG9JEmSJEmSJEk9wMBekiRJkiRJkqQeYGAvSZIkSZIkSVIPMLDXCkkykKSSzOx2LZIkSZIkSZI0GRnYS5IkSZIkSZLUA6Z3uwBNGHsCjwYWd+PhixYvYeaR87vxaElSlw3Mnd3tEiRJkiRJWiMM7LVCqupX3a5BkiRJkiRJkiYzr8TRCul0h32SBU3frCS7Jbkwyd1JliT5VpKnt809KMmPktyb5K4kpybZrBvfRZIkSZIkSZJ6kYG9xsPLgEuBDYFvAbcDLwIuTfLkJB8HTgL+0Iw/CBwIfDfJY7pTsiRJkiRJkiT1Fq/E0Xj4P8ABVXUWQJJHAacCrwbOATYBnl5VP2vGNwJ+AOwI/7+9+w6zqjoXP/59h5EmYgEJCgomGHuSG8cWMWCJqMRIQoktEY0Se03UKN5gTMF6k5gEe7g3mngVYwu2WEDx2sYbK+pPL1IkNpAOQmDW74+zDx6GM8PMMOUM8/08zzybvdp+zxG2a96zztp8F/hTSwQtSZIkSZIkSaXEFfZqDLfnk/UAKaUq4IrsdFfg3/PJ+qz+E+C67HT/ZotSkiRJkiRJkkqYCXs1hoeKlL2zjvq3s+PWNQ0aEaMiojIiKlctXbA+8UmSJEmSJElSyTNhr8bwXvWClNLi2uqBfH3HmgZNKd2QUqpIKVW067zpeoYoSZIkSZIkSaXNhL0aQ1VtldkWOZIkSZIkSZKkWpiwlyRJkiRJkiSpBJiwlyRJkiRJkiSpBJS3dABSXezWa1Mqxw5u6TAkSZIkSZIkqcm4wl6SJEmSJEmSpBJgwl6SJEmSJEmSpBLgljiqk5RS3yJlA9fRJ2qpmwTUWC9JkiRJkiRJbY0r7CVJkiRJkiRJKgEm7CVJkiRJkiRJKgEm7CVJkiRJkiRJKgEm7CVJkiRJkiRJKgEm7CVJkiRJkiRJKgEm7NViIiJFRGrpOCRJkiRJkiSpFJiwlyRJkiRJkiSpBJS3dABSXbw6ewF9L5zY0mFIkprQ9LHX9MidAAAgAElEQVSDWzoESZIkSZJalCvsJUmSJEmSJEkqASWRsC/cyzwifhARz0XEwqx8s4J2O0XEzRHxbkR8GhHzIuLRiPhWLWNvFBGjIuKJiPgkIpZHxMyI+FtEHFOk/cYRcXFEvBwRS7KflyLioojoXKT9wCzOSRHRMSIui4h3ImJZREyLiNER0S5ru00W/+ws/lcj4tga4p6ejds3Ig6PiKey92RuREyIiO2ydmURcU421tKI+CAifh8Rm9TynuwVEbdHxHsRsSIiPo6I+yKifx3++3w3Ip6JiMURsSgiHqupX9Z+t4i4O3vvl0TE/0bEiTW1lyRJkiRJkqS2qiQS9nkRcS1wA7Ac+BvwIpBPFB8JvAScACzJ6l8B9gPujYifFRlvc2AycD2wD/AP4K/Au8C+wC+qte8OPAP8HNgGeDj76ZO1/Z+I2KKG8NsDfwdOy+KaBHwOuAz4XUR8AXgB2B94KvvzrsCfin1wUOBU4B6gCngIWAgMBZ6KiG7Af2fxzsyu3yHrM6HYYBFxXvYaRwAfAPcC7wCDgckRcVJNgWTv8Z+BFcBE4D3gAOCxiNinSPsBwHPAEOAj4L4s/usj4ppaXrMkSZIkSZIktTmRUmrpGMiv3gYWAAenlJ6vVv8lcgnuFcCIlNKDBXW7AA+SS7AfkFJ6oqDuHuAIcgnqYSmlfxbUdQT2rzbWHcBwcgn1b6WU5mflm5P7gOBrwO0ppaMK+gwE8tecAnwzpbQgq/tyFnc74C3gEeC8lNKqrP404HfA/6WU+lV7zdPJfVCwLHtPphTE/RAwAHgN2Ag4MKU0O6vfltwHE1sAX08pPVUw5qHAA8A/ge+klJ4rqNs3q+sE7JpS+n8Fdfn/Pp9ksbyYlZcB1wEnAY+mlL5R0KcT8DbQC/gVcHHK/rJlifwHgM4AKaVgHTpstX3a6rhfr6uZJKkVcw97SZIkSVJbEBEvppQqitWV1Ap74IrqyfrMxeRWsJ9fmGAHSCm9DpybnZ6eL4+Ir5BL1i8CjihM1mf9Pq2WrO8DDCO3kv2kfLI+azuPXFK6ChgREdsUibEKGJVP1mf9XiaXmC4jlwg/P5+sz1xPLgn+hSzRXsyv88n6fNxAPnO9K3BmPlmf1c8Ebs1O96821pjseGJhsj7r9zS5bwNsBPywhlh+mk/WZ32qgEuy0/0iYqOCtsPIJev/D7gkn6zP+k0ml+ivVbaVUWVEVK5aumBdzSVJkiRJkiSpVSu1hP1fqxdkq7gPIbc1TtFtXshtewO5bW/yDsmO96WUPq7DtfcDAng2pfRW9cqU0lRy27uUAV8v0n9GSumNIuXvZMcnUkorqo25ktz2PABb1xDXQ7WM+S/gsSL1b1cfM9vuZ09yW9I8UsO1ir2Phf5WvSCl9CEwj9xWPN0KqgZkx9urfUiR96carlE49g0ppYqUUkW7zpuuq7kkSZIkSZIktWrlLR1ANTOKlHUDumZ//iii1t1Ttiz4c5/s+GYdr90rO75bS5tp5JLZvYrUvVdDn8V1rO9YQ32xfvk+H9SQDC825nbZsSuwsh7vY6GZNZQvBDavdr3e2bGm93N6bQFIkiRJkiRJUltTUgn7lNKyIsXtsuMqPtvqpU7DNTSMBvarWs/6hvSrz5j593EBuYfY1mZOscJsCxxJkiRJkiRJUhMoqYR9DeaQe/BqJ+D0lNLidbTPy68G36GO7fP7wH++ljb5utm1tClVs7Ljv1JKI5vhevn3qG8N9TWVS5IkSZIkSVKbVPIJ+5TSyoh4FDic3INMx9ex68PAr4AjIqJ7SqnoqvECT5FbXb93RHwxpfT/CisjYidgL3Kr2p+sx0soCSml2RHxKrBbRAxMKU1q4ktOBk4AjoyIMUW27jmmia8vSZIkSZKkZrRy5Uo++eQTFixYwMqVK1s6HKnJlZeXs+mmm7LFFltQXt44qfaST9hnfkbuIbK/iYhPgf9OKa3euiZyG7LvAWyWUnoEIKX0j4i4n1yi/+6IGJFSer+gT0dg/5TSg1n7GRFxF7kPBa6PiCEppQVZ282A68k9cPb2lFJ+tXprcwm57XBujYgT8u9VXkS0I/ew2KUppWfX81oTgLFAP2BMRPx7/r9ZRPQHTqnPYLv12pTKsYPXMyRJkiRJkiQ1haqqKmbNmkWHDh3Ydtttad++Pet4hqLUqqWUWLFiBXPnzmXWrFn06dOHsrKy9R53/UdoBimlSuD7wEbAX4B3I+KBiLg1Ih4GPgCeAw6o1nUk8ALQH5gWEX+PiD9HxCTgfWBctfanAK8BA7P2d2VJ/GnAfsDLwGmN/wqbR0rpXuA8oCfwcES8FRH3Ze/J4+S2H3oM+EojXGspcCzwKTAamJpd5wlyq+9vWN9rSJIkSZIkqTTMmzeP8vJyttpqKzp06GCyXhu8iKBDhw5stdVWlJeXM2/evEYZt1Uk7AFSSrcDuwG/BZaSWwn+bXIruF8CzsrqCvt8Qi7Rfgbwv8CewHeA7chtgXNhtfZzgH3IrUSfDRya/cwCLgb2zcZstVJK1wC7AzeTexDtN8h9C6E3ua1+TgLuaKRrPQ7sDdxH7kOCIcDmwGkppXMb4xqSJEmSJElqeYsXL2azzTYzUa82JyLYbLPNWLJkSeOMV7CzjFSyKioqUmVlZUuHIUmSJEmSpCLeeust+vXrR7t27Vo6FKnZrVq1infeeYcddtihTu0j4sWUUkWxulazwl6SJEmSJElSaaqqqmqU/bul1qisrIyqqqrGGatRRpEkSZIkSZLUprkdjtqqxvy7b8JekiRJkiRJkqQSYMJekiRJkiRJkqQSYMJekiRJkiRJkqQSUN7SAUiSJEmSJEna8PW9cGJLh1Av08cObtbrffrpp4wZM4YJEyYwa9YsVqxYwZe//GVeeuklxowZw6WXXspPf/pTxowZU+cxx48fz/HHH89xxx3H+PHj63w9tRwT9pIkSZIkSZLUxPr27cuMGTN499136du371r1o0eP5uqrr+Zzn/scRxxxBJ07d2bbbbdtsnia+3qqGxP2ahVenb2g1X0KK0lat+ZesSJJkiRJperOO+8E4KmnnmL77bdfo+7000/nyCOPpHv37s1yPbUcE/aSJEmSJEmS1MJmzZoFUDR53r1790ZN1q/remo5PnS2lYiIjSPiRxHxTETMj4hlETEtIu6MiMMK2u0cET+LiP+JiH9GxIqI+DgiHoiIQ2oYe2REpIgYHxGbR8RvI2Jmdo03IuLkgra7RMQdEfFhVv98RAxaR9znR8QLEbEw6/N6RIyJiC6N+y5JkiRJkiRJpWX8+PFEBDNmzABgu+22IyJW//Tt25eIIKUEsEbdpEmTABgzZgwRUXT/+pQSN998M1/96lfp1KkT3bt3Z8iQIbzyyitF46nL9epj/vz5XHTRReyyyy507tyZjh070rt3bwYOHMivfvWron1mzZrFueeey84778zGG29M165d2WmnnTj11FN57bXX1mr/+uuv8/3vf59tttmGDh060L17dw477DAefPDBouOPHDmSiGD8+PG88sorDB8+nJ49e9KuXTt+/etfr263ZMkSrrjiCvbYYw+6du1Kp06d2GWXXRgzZgyLFy+u93vRGFxh3wpERB/gYWAHYDEwBVgAbAMcCmwJPJA1Pxf4AfAG8DKwEPh81u7QiDgvpXRNDZfaDHgG6JpdoxvwdWBcRGwKPAk8AswAngC2B/YAJkbEASmlJ6vF3TuLe2fg42zsT7M+PwW+HREDU0rzGvzmSJIkSZIkSSWsX79+HHfccUyYMIElS5YwdOhQunT5bB1reXk5K1eu5D//8z8BOO6441bX9ezZc53jn3baaYwbN4527doxYMAAevTowfPPP89ee+3F8ccfv1b7YcOGMWfOnAZfr9DSpUvZd999mTp1Kj169OCggw5i44035v3332fq1Kk8++yz/OQnP1mjzyOPPMLw4cNZuHAhW2+9NYMGDaKsrIxp06Zx/fXX06NHD3bdddfV7e+77z5GjBjB8uXL2WWXXdhvv/147733ePjhh3nwwQcZPXo0l112WdH4nn76aU4++WR69erFwIEDWbRoEZ07dwbgvffeY9CgQUydOpUtt9ySffbZh44dO/LCCy9w6aWXcvfddzNp0iQ233zzer0n68uEfYmLiDLgbnLJ+nuB4wsT3BGxCbBnQZc/AT9PKU2vNs5e5JLtYyPijpTSe0UudwQwAfheSunTrN+h5D4MGA3MBcaklK4uGPdK4EfkEvAHFpQHcAe5ZP3vgPNTSsuyuk7ADcCxwH8AI+v1pkiSJEmSJEmtRP/+/enfvz+TJk1iyZIlXHXVVUUfOptPoI8fP77OY99///2MGzeOrl278ve//50998ylCVetWsU555zDtddeu1afq666qsHXq27ChAlMnTqVwYMHc88991Be/lm6edWqVUyePHmN9jNnzmTYsGEsWrSIyy67jAsvvHCNPjNnzuTjjz9eff7BBx/wve99j+XLl3P11Vdz7rnnrq6bNGkSgwcP5uc//zn9+/dn0KC1NwG56aabuPjii/nZz35GWdlnm82klBgxYgRTp07l9NNP54orrqBTp04ALFu2jFGjRnHrrbdyzjnnrNf70xBuiVP6vgX8GzAdOKr6avSU0qKU0mMF55OrJ+uz8ufIJc43IpeYL2YRcEo+WZ/1e5DcSv0uwD8Lk/WZ/Pda+kfERgXlhwD7AM8CZ+WT9dmYy4CTgY+AYyKi6MdUETEqIiojonLV0gU1hCxJkiRJkiS1TfntXc4555zVyXqAdu3aceWVV7L11ls36fU//PBDAA466KA1Eu/5GA444IA1yq655hoWLVrEd7/7XUaPHr1Wn2233Zbdd9999fmNN97IwoUL2XfffddI1gMMHDiQM844A/jsQ4jqdtxxRy699NI1kvUADz30EM888wx77703v/nNb1Yn6wE6derEddddR48ePbjtttuYN695NwcxYV/68vvO31aY9K5NRGwSEUdGxNiIuCHbm348MDBr8sUaulamlOYUKX8nOz5UvSKl9Am5lfftyW2hk5ffV/+ulFJVkX5LgEpy3/LYo1gwKaUbUkoVKaWKdp03rSFkSZIkSZIkqe1ZuXIlTz/9NADHHnvsWvUdOnRg+PDhTRrDHnvk0nqXX345t956K/Pnz6+1/UMP5dKLJ554Yp3Gz6/QL9y2p9AJJ5wAwJQpU1i1atVa9UcccQTt2rVbq/yBB3K7iw8dOnStZD7AxhtvTEVFBStXruSFF16oU6yNxYR96euTHd+sS+OIOILcavy/ABcAJwHHZT9fy5p1raF7sW1yILdvfl3qOxaUfT47Xpk90HatHz5L6m9Z0+uRJEmSJEmStLY5c+awfPlyysrK6NOnT9E2xbbeaUwDBw7k/PPP56OPPuJ73/seW2yxBTvvvDOjRo3i4YcfXqt9/sG7O+64Y53Gnz17NpB7UG8xffv2paysjE8//ZS5c+euVV/T+zJt2jQAfvzjH6/x0N3Cn3xSv3CLnubgHvalL9W1YfaQ178AnchtVfMXcsn7JSmlqogYBVwPRA1DrLUSvp71hfIfXU3OYqjNjHqMK0mSJEmSJKlEXH755Zx88snce++9TJkyhaeffpobb7yRG2+8kYMPPpiJEyeu3vom99jL+mtov8KtbgrlV+MPGDBgnR9q1JT0byom7EvfzOy4Qx3afpNcsv6ulNJFRer7NVpU6zYrO96ZUvp9M15XkiRJkiRJ2uB1796dDh06sHz5cmbOnMkXvvCFtdpMnz69WWLZbrvtOPvsszn77LOB3BY1Rx11FI888gi33HILo0aNAnJ71L/11lu89dZb9O7de53j9urVizfffJNp06Zx4IEHrlU/ffp0qqqq6NixI1tssUWd491mm20AGD58OKeddlqd+zUHt8QpffnvjhwbER1rbQn5v5WzqldERAdgaGMGtg4PZsem3ShLkiRJkiRJagXat28P5Paebwzl5eV87Wu5HbBvu+22tepXrFjBhAkTGuVa9dW/f39GjhwJwMsvv7y6fNCgQQDcdNNNdRpnwIABAPzXf/1X0fo//vGPq69X/QG2tTn00EMBuPPOO+vcp7m4wr703Qu8BHwFuC0iTkgpLchXRsQmwJ4ppcf4bJ/7oRExNqX0YdamPXAtn+0r3xzuAV4EBkTEdcBF2QNqV4uInsDhKaUb1zXYbr02pXLs4KaJVJIkSZIkSWpivXr14u233+aNN96gX7/G2QjjzDPP5IknnuCaa67hsMMOo6KiAoCqqiouuOCC1XvAN5W7776bbt260b9//zUe3rps2TIeffRRYM0tZc4991xuueUWbr/9dr70pS9x/vnnr/FQ2FmzZvHRRx+x++67A3DSSSdx5ZVXMmXKFH77299y5plnrm775JNPcu211wJw3nnn1SvuIUOGsPvuuzN58mROPvlkfvnLX661Qv+DDz7g/vvv56STTqrX2OvLFfYlLqVUBXwHeCc7zoqIByLiLxExBXgfuCRrfh/wD2Ab4O2IuC8i7gDeBY4GftvMcQ8BXgV+CEyPiKci4s8R8deIeA34J3BZc8UkSZIkSZIktZRvf/vbABxzzDEMGzaME088kRNPPLHow1LrasiQIYwaNYoFCxawzz77cNBBB3H00UfzxS9+keuuu45TTjmlscIvavLkyQwYMICePXsyaNAgjj32WA4//HB69+7Ns88+y4477sgPf/jD1e379OnDHXfcQZcuXbjooovo06cPQ4cOZdiwYey+++707duX+++/f3X7nj178qc//YkOHTpw1lln8aUvfYmjjz6agQMHsv/++7NkyRJGjx7NIYccUq+4y8rKuOeee9htt924/vrr6du3L/vttx9HH3003/nOd9h1113ZeuutueSSS9Y9WCNzhX0rkFJ6NyK+CpxBblub/cg91PUD4G/AH7N2KyNiADCaXLL8YGAeMAkYA+zTzHG/FxF7Aj8ARgC7AXsBc4HZwNXA3c0ZkyRJkiRJklrG9Da+e8Lpp5/OwoULue222/jb3/7G8uXLARg9ejTdunVr8LjXXXcdFRUV/OEPf2DKlCl07tyZfffdlwkTJvDSSy8xbty4xnoJaxk5ciQdO3ZkypQpvPbaa8yZM4fNNtuMfv36cdRRR/GDH/yATTbZZI0+hx56KK+88gpXX301Dz/8MBMnTqRDhw707t2bU045hREjRqzR/ogjjqCyspLLL7+cxx9/nAkTJrDJJptw8MEHc8YZZ3DYYYc1KPbevXvz/PPPc/PNN3PHHXfw6quv8txzz9GtWzd69erFeeedt/pDluYUKaVmv6hUXxUVFamysrKlw5AkSZIkSVIRb7zxBjvttFNLhyG1mPr8G4iIF1NKFcXq3BJHkiRJkiRJkqQSYMJekiRJkiRJkqQS4B72kiRJkiRJkiR+9KMfMWfOnDq1HTJkCEOGDGniiNoeE/aSJEmSJEmSJCZMmMCMGTPq1LZv374m7JuACXtJkiRJkiRJEtOnT2/pENo897AXEZEiIrV0HJIkSZIkSZLUlrnCXq3Cq7MX0PfCiS0dhiSpEU0fO7ilQ5AkSZIkqaS4wl6SJEmSJEnSekvJDRzUNjXm330T9pIkSZIkSZLWS1lZGVVVVS0dhtQiqqqqKCtrnFS7CXutISJGRcQ/ImJpRMyNiL9GxK41tN0rIq6MiMqI+DAiVkTEPyNiQkTsXUOfMdme+WMiok9E/DEi3ouIlRHx66Z9dZIkSZIkSWoKHTt2ZOnSpS0dhtQili5dSqdOnRplLBP2Wi0i/gMYBywA7gXmAN8GnouI/kW6/AI4B9gIeB64D5gLDAWmRMTwWi63PfAPYBDwDHA/ML9xXokkSZIkSZKaU5cuXZg/f77b4qjNSSkxf/58Nt5440YZz4fOqtAoYP+U0pMAERHAL4ELgT9HxBdTSp8WtL8KOCal9GHhIBFxOHAXcF1ETEwpFft49WhgPPDDlNKKxn8pkiRJkiRJai6bb745Cxcu5P3336dbt260b9+eXGpJ2jCllFixYgVz585l5cqVbL755o0yrgl7FRqXT9YDpJRSRIwGRgCfJ7dy/raC+oeKDZJSuj8i7iSXlN8fmFik2VzgzNqS9RExityHCLTrumX9X40kSZIkSZKaRVlZGdtssw2ffPIJM2fOZOXKlS0dktTkysvL2XTTTenRo0ej7WFvwl6Fbq1ekFJaFRF/AS4GBlKQsAeIiO7AN4Fdgc347O9Uft/7L1I8Yf9oSmlRbcGklG4AbgDosNX2fp9KkiRJkiSphJWXl9OjRw969OjR0qFIrZYJexV6t4by6dmxd2FhRPwQuAboXMuYXWson1GvyCRJkiRJkiRpA+dDZ9UgEbEHuQfUbgT8GNgR6AKUpZQC+FW+aQ1DLGvyICVJkiRJkiSpFXGFvQr1BV6uoRxgdkHZUHLJ+N+mlK4q0qdfo0YmSZIkSZIkSRs4E/YqdAzVEvYR0Q44MjudVFC1RXacVX2QiNgS+EZjBrZbr02pHDu4MYeUJEmSJEmSpJLiljgqdGpE9M+fREQAlwJfILe6/q6Ctm9mx+9HRJeCPpsAt5B7AK0kSZIkSZIkqY5cYa9CNwKTI+JJ4H3gq8AO5PabPyalVLjv/B+Bs7M20yJiCrktcr4OrCCXtD+hGWOXJEmSJEmSpFbNFfYqdC5wBrntboYAPYB7gL1SSpMLG6aU5gEVwA3AYmBwdv5Xckn8tbbKkSRJkiRJkiTVLFJKLR2DtE4VFRWpsrKypcOQJEmSJEmSpPUSES+mlCqK1bnCXpIkSZIkSZKkEuAKe7UKEbEIeKul45DU6nUH5rR0EJJaPe8lkhqL9xNJjcF7idT69EkpbVmswofOqrV4q6aviUhSXUVEpfcSSevLe4mkxuL9RFJj8F4ibVjcEkeSJEmSJEmSpBJgwl6SJEmSJEmSpBJgwl6txQ0tHYCkDYL3EkmNwXuJpMbi/URSY/BeIm1AfOisJEmSJEmSJEklwBX2kiRJkiRJkiSVABP2KmkRcXREPBURCyJicURURsRpEeHfXUkARMT4iEi1/LxZQ7+y7H5Smd1fFmT3m6Oa+zVIah4RsUNEnBURt0bEmxFRld0nhtWhb4PmJBFxSEQ8EhGfRMTSiHgtIi6OiA6N98okNaeG3EsaOl/J+jpnkTYwEbFRRBwYEVdn/7YXRsSKiJgdERMiYuA6+jsvkTZg5S0dgFSTiPg9cCrwKfAY8C/gQOB3wIERMSylVNWCIUoqLU8D7xQpf796QUS0A/4KfAtYCDwCdCB3j/lzROydUjqrCWOV1DJOAer9b7uhc5KIOB+4HFgFTALmAQOAnwPfjIgDU0pLG/ZSJLWgBt1LMnWer4BzFmkDNgD4e/bnD4AngSXAzsBQYGhEXJZS+vfqHZ2XSBs+E/YqSRExlNz/gD4Avp5Sejsr/xzwBPBt4AzgNy0WpKRSc1NKaXwd255N7hffqcABKaUPASJie+Ap4MyIeDyldG+TRCqppbwGXAlUAi8CN5P7RbVGDZ2TREQFMBZYSu4+81xW3gWYCHwd+AVwTiO9NknNp973kgL1ma+AcxZpQ1UF3AX8JqX0VGFFRHwXuA24JCKeSCk9UVDnvERqA9xWRKXqJ9nxgvz/gACyCeop2emFbo0jqb6ylWrnZ6en5H/xBcjuNxdkpxc3d2ySmlZK6aaU0vkppTtSSv9Xx24NnZNcCARwef6X4qzfYuB4cr+onxoRmzXktUhqOQ28l9SbcxZpw5VSejylNKx6sj6r+29gfHZ6bLVq5yVSG2CyUyUnInoDuwMrgDur16eUJgOzgZ7A3s0bnaQNwD5AD+C9lNKTRervJPe10j0iolezRiappDR0ThIR7YFDs9PbivSbBjwDtAcOa/TAJW0onLNIbdc/smPvfIHzEqntMGGvUvRv2fH1lNKyGtq8UK2tJO0fEddExA0RcVlEDKrhWzj5+8YLRerI9m18PTv9SlMEKqnVaOicZAegM/BJLatvnctIbVNd5yvgnEVqy7bPjoXPt3BeIrUR7mGvUrRddpxRS5uZ1dpK0veLlE2NiCNTSq8WlNX1HvMVvMdIbV1D5yTbVauraz9JG766zlfAOYvUJkVET2BkdnpXQZXzEqmNcIW9SlGX7LikljaLs+MmTRyLpNL3EnAmsDO5+8fWwDeBl7OyR6t9Tdx7jKS6auj9wvuMpOrqO18B7yVSmxMR5cCtwKbAYyml+wuqnZdIbYQr7CVJrVpK6dfVipYAEyPi78Bkcvs3/gQ4vbljkyRJAucrkursOuBAYBZrP3BWUhvhCnuVovwnuxvX0ib/CfGiJo5FUiuVUloB/Co7LXx4kvcYSXXV0PuF9xlJdVLLfAW8l0htSkT8BvgB8AFwYErpg2pNnJdIbYQJe5Wi6dmxTy1ttqnWVpKKeTM7Fn7FfHp29B4jaV2mZ8f63i/yf962nv0ktU3F5ivgnEVqMyLianLbZn1MLln/dpFm07Oj8xJpA2fCXqXoH9lxl4joVEObPaq1laRiumXHxQVl/5sd96CIiOgM7Jqdeo+R2raGzkneBJYBW0TEF2rot2eRfpLapmLzFXDOIrUJEXEFcC4wFzgopTS1hqbOS6Q2woS9Sk5KaRa5yWl7YHj1+ogYAPQm9zWxZ5o3OkmtzIjs+EJB2TPkVq70joivF+kzHNgIeCGlNLuJ45NUwho6J8m2uHgwOz2mSL/PA/sAK4CJjR64pNam2HwFnLNIG7yIGAv8GJgHfCOl9EpNbZ2XSG2HCXuVqvw+jpdHRL98YUT0AP6QnY5NKVU1e2SSSkZEfCUivhkR7aqVl0fEeeS+VgrwH/m6lNIq4IrsdFx2X8n32x4Ym53+oukil9SKNHROMhZIwAURsWdBvy7ALeTm4X9IKc1vssgllYSGzFfAOYu0oYuInwMXAPPJJevrsrrdeYnUBkRKqaVjkIqKiD8Apy8gP/gAAAG2SURBVACfAo8C/yL3tPSuwD3AsGwSK6mNioghwN3AJ+RWm3xE7mvluwFbA1XAhSmlK6v1a5f1OxxYCDxGboXaQUBH4NqU0plI2qBExFf57JdZgJ2BTYC3yd1HAEgp7V2tX4PmJBFxPnA5sAp4nNwv5AOAHsBzwAEppaWN9PIkNZP63ksaOl/J+jpnkTZAEfEt4N7stBJ4vYamb6aUxhYWOC+RNnwm7FXSIuJo4DRyk9l25PZeuwUY5+p6SRGxHXAWuT0X+5D75TcB7wFPAb9PKb1YQ98y4FTgeGBHchPXV8itLPlz00cvqblFxEDgiXW1SylFkb4NmpNExCHAeUAFueTaNODPwFUppeX1fxWSWlp97yXrM1/J+jtnkTYwETES+GMdmk5OKQ0s0t95ibQBM2EvSZIkSZIkSVIJcA97SZIkSZIkSZJKgAl7SZIkSZIkSZJKgAl7SZIkSZIkSZJKgAl7SZIkSZIkSZJKgAl7SZIkSZIkSZJKgAl7SZIkSZIkSZJKgAl7SZIkSZIkSZJKgAl7SZIkSZIkSZJKgAl7SZIkSZIkSZJKgAl7SZIkSZIkSZJKwP8HPc7aCX1bgbcAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 1728x1440 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IJpWbBRRvuxE"
      },
      "source": [
        "***HISTOGRAM OF THE 100 LOWEST WORDS***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 728
        },
        "id": "d-YDYb42GgXF",
        "outputId": "5f067921-aff6-4a41-e358-f3b3a91d6467"
      },
      "source": [
        "plt.rcParams['figure.figsize'] = (24,20)\n",
        "plt.rcParams['font.size'] = 22\n",
        "ax = words_tfidf_scores_df.tail(50).plot(kind='barh')\n",
        "ax.invert_yaxis()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1728x1440 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2ASayweXGoFv"
      },
      "source": [
        "def getKey(dict, value):\n",
        "    '''get dictionnary key from its value'''\n",
        "    \n",
        "    return [key for key in dict.keys() if (dict[key] == value)][0]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "id": "mv9vKjU7Guxb",
        "outputId": "9e2d1efb-930d-43ea-a21c-4610cdc27ddb"
      },
      "source": [
        "top_features_size = 1001\n",
        "\n",
        "top_features_names = words_tfidf_scores_df.index.values[:top_features_size] # Extracting the top 20% features' names\n",
        "\n",
        "# And their corresponding indices from the 'vectorizer.vocabulary_' dictionnary\n",
        "top_features_indices = [\n",
        "    vectorizer.vocabulary_.get(top_features_names[i]) for i in range(len(top_features_names))\n",
        "]\n",
        "\n",
        "# Creating the final dataframe from the tfidf_matrix with respect to the top features\n",
        "final_df = pd.DataFrame()\n",
        "\n",
        "for top_feature_index in top_features_indices:\n",
        "    final_df[getKey(vectorizer.vocabulary_, top_feature_index)] = pd.Series(tfidf_matrix.getcol(top_feature_index).toarray().ravel())\n",
        "\n",
        "final_df['stars'] = sample['stars']\n",
        "\n",
        "final_df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.082364</td>\n",
              "      <td>0.180625</td>\n",
              "      <td>0.089585</td>\n",
              "      <td>0.101201</td>\n",
              "      <td>0.106382</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.122348</td>\n",
              "      <td>0.118004</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.136944</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.296677</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.114166</td>\n",
              "      <td>0.125183</td>\n",
              "      <td>0.248348</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.176035</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.170479</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.147707</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.088283</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.342589</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.093919</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.090423</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.172149</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.047732</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.056226</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.057783</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.062368</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.072378</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.374492</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 1002 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       food      good     place     great  ...  entertain   40  crepe  stars\n",
              "0  0.000000  0.000000  0.000000  0.104526  ...        0.0  0.0    0.0      1\n",
              "1  0.082364  0.180625  0.089585  0.101201  ...        0.0  0.0    0.0      1\n",
              "2  0.114166  0.125183  0.248348  0.000000  ...        0.0  0.0    0.0     -1\n",
              "3  0.000000  0.000000  0.000000  0.000000  ...        0.0  0.0    0.0     -1\n",
              "4  0.000000  0.047732  0.000000  0.000000  ...        0.0  0.0    0.0      1\n",
              "\n",
              "[5 rows x 1002 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cPnJemYVez13"
      },
      "source": [
        "plt.rcParams[\"figure.figsize\"] = (12,10)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 604
        },
        "id": "u8nVUCq5G0Fh",
        "outputId": "1f6022ff-1e00-4900-8a9a-6de7d79beb3d"
      },
      "source": [
        "plot_stars_frequencies(final_df)\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hQVv-LZxG6Xf"
      },
      "source": [
        "def pretty_print_cm(cm, labels, normalize=False):\n",
        "    \"\"\"pretty print confusion matrices\"\"\"\n",
        "    import seaborn as sns\n",
        "    from sklearn.preprocessing import scale\n",
        "    \n",
        "    title = 'Confusion matrix'\n",
        "    if normalize:\n",
        "        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
        "        title = ' '.join(['Normalized', title])\n",
        "    \n",
        "    conf_mat = pd.DataFrame(cm, columns=labels, index=labels)\n",
        "    conf_mat.index.name = 'True \\ Predicted'\n",
        "    plt.figure(figsize=(16,10))\n",
        "    ax = sns.heatmap(conf_mat, annot=True, cmap='Blues', fmt='g')\n",
        "    ax.set_xlabel('Predicted')\n",
        "    ax.set_ylabel('True')\n",
        "    ax.set_title(title)\n",
        "    ax.margins(2,2)\n",
        "    plt.show()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HVBhHnTCG-zO"
      },
      "source": [
        "def generate_prediction_results(y_true, y_pred):\n",
        "    \"\"\"generate classification report and confusion matrix on a given true and predicted values\"\"\"\n",
        "    from sklearn.metrics import classification_report, confusion_matrix\n",
        "\n",
        "    conf_mat = confusion_matrix(y_true, y_pred)\n",
        "    class_report = classification_report(y_true, y_pred, output_dict=True)\n",
        "    return conf_mat, class_report"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qx74tfmVHBLs"
      },
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "X = final_df.drop(['stars'], 1)\n",
        "y = final_df['stars']\n",
        "\n",
        "X_train, X_test, y_train, y_test = train_test_split(\n",
        "    X, y, test_size=0.2)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 621
        },
        "id": "jDHHA4BIHDu6",
        "outputId": "494cb9ec-41e9-4c89-be24-8e76fe2310f6"
      },
      "source": [
        "pd.DataFrame(y_train.value_counts()).plot(kind='bar')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f175b3dab90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 53
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oIPhIwW7v9O0"
      },
      "source": [
        "***BALANCING THE DATASET***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6RVLuA0pHHwV",
        "outputId": "f3ab5eb8-f36d-44ec-97fe-1a5ec6e5128d"
      },
      "source": [
        "from imblearn.over_sampling import SMOTE  #Synthetic Minority OverSampling\n",
        "\n",
        "sm = SMOTE()\n",
        "x_cols = X_train.columns\n",
        "X_train, y_train = sm.fit_sample(X_train, y_train)\n",
        "X_train = pd.DataFrame(X_train, columns=x_cols)\n",
        "y_train = pd.Series(y_train)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/externals/six.py:31: FutureWarning: The module is deprecated in version 0.21 and will be removed in version 0.23 since we've dropped support for Python 2.7. Please rely on the official version of six (https://pypi.org/project/six/).\n",
            "  \"(https://pypi.org/project/six/).\", FutureWarning)\n",
            "/usr/local/lib/python3.7/dist-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.neighbors.base module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.neighbors. Anything that cannot be imported from sklearn.neighbors is now part of the private API.\n",
            "  warnings.warn(message, FutureWarning)\n",
            "/usr/local/lib/python3.7/dist-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function safe_indexing is deprecated; safe_indexing is deprecated in version 0.22 and will be removed in version 0.24.\n",
            "  warnings.warn(msg, category=FutureWarning)\n",
            "/usr/local/lib/python3.7/dist-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function safe_indexing is deprecated; safe_indexing is deprecated in version 0.22 and will be removed in version 0.24.\n",
            "  warnings.warn(msg, category=FutureWarning)\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 621
        },
        "id": "xPwRt-YJHP3Y",
        "outputId": "8669a8d6-0229-40fa-dd42-a9edfd5d66dd"
      },
      "source": [
        "pd.DataFrame(y_train.value_counts()).plot(kind='bar')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f175b3a2750>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 55
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Mlg7t49NcevPQ7jcHdQAA0KXtnVn/o4wei3hPJrm5tLX24Qm7Hk9ydVVdk2R9RmvHz01yxnaOY85U1WlJTkuSww47bJFHAwDArmybZ9ar6sIkv5HRYxJXttbun2lta21Lkg8Om2+bcHhs9nvfaU4xNov+2BzUTRzbR1try1tryw866KBpTgUAAPNrm8J6Vf1BRstbHswoqG96npLJjL29dOIymDuH9vBpal8yoe/21AEAQJdmHdar6oIk/zHJd5Oc0Fq7bRuv/cNDu3nC/puHdsUU198nyU8Om7eMOzT2+9FVtfcU11wxoS8AAHRrVmG9qtYk+a0k30vyM621r27HtX9haCc+ovHGjGbsD62q4yapOyXJHkk2tNbGHtuY1to9GQX9PYc+E8d+fEbPgb9/uAYAAHRtxmG9qn4no7eHPpxRUJ92drqqXlNVbx/eSDp+/5Kqen9Gy2iS5EPjj7fWnk1ywbC5rqqWjas9KsmaYfMDk1x2bB38+VX18nF1y5KsHTbXTPF8dwAA6MqMngZTVe9Mct6weUeSM6tqsq63t9bGwvQRSa5I8lBV3ZzkOxktfXlVRo9w3JrkrNbaX09yng8lOS7JO5JsqqrrMppNPyHJC5J8pLV21cSi1tplVbUuyaokX6uqazN62+nKJPsnuTLJRTP5zAAAsNhm+ujGF477ffnwM5n1+deZ768kuTDJ6zN6pvqbk7Qk9yb5RJKLW2s3TXaS1tqzVXViktVJ3pPkZ5M8m+SmJGtba5dONdDW2uqquiHJ6UmOT7J7RjezfjzJOrPqAADsKGYU1ltrlyS5ZDYnbq19K8n7Zj+kf6nfmtEs+KxnwocwP2WgBwCAHcF2vcEUAACYP8I6AAB0SlgHAIBOCesAANApYR0AADolrAMAQKeEdQAA6JSwDgAAnRLWAQCgU8I6AAB0SlgHAIBOCesAANApYR0AADolrAMAQKeEdQAA6JSwDgAAnRLWAQCgU8I6AAB0SlgHAIBOCesAANApYR0AADolrAMAQKeEdQAA6JSwDgAAnRLWAQCgU8I6AAB0SlgHAIBOCesAANApYR0AADolrAMAQKeEdQAA6JSwDgAAnRLWAQCgU8I6AAB0SlgHAIBOCesAANApYR0AADolrAMAQKeEdQAA6JSwDgAAnRLWAQCgU8I6AAB0SlgHAIBOCesAANApYR0AADolrAMAQKeEdQAA6JSwDgAAnRLWAQCgU8I6AAB0SlgHAIBOCesAANApYR0AADolrAMAQKeEdQAA6JSwDgAAnRLWAQCgU8I6AAB0SlgHAIBOCesAANApYR0AADolrAMAQKeEdQAA6JSwDgAAnRLWAQCgUzMK61W1R1WtrKo/qKqNVfVoVW2pqvuq6rKq+unnqT+1qq6vqkeqavNwjtOratrrV9XPVdXnquqhqnqiqr5eVedV1V7PU/dTVXVFVX2nqp6qqk1VdUFVHTCTzwsAAD2Y6cz68UmuTfIfkxyS5ItJrkjyUJJ3JflCVf2fkxVW1cVJPpVkeZLrk1yT5BVJLkpy2VSBvarOSvKZJG9NcnOSq5MsS/I7Sf6mqvaZou7dSf42yYlJ/iHJVUn2TPJbSTZW1bIZfmYAAFhUMw3rW5NcnuS41tqLW2tvb639YmvtVUl+KcmzSX67qt4yvqiq3pVkdZL7k7x6qDspyVFJvpHkpCRnTrxYVS1PsibJE0ne2Fo7obV2SpKXZvSHwrFJPjBJ3aFJ/iRJJTmxtfam1tovJnlZkj9L8vIkfzzDzwwAAItqRmG9tfb51trJrbXrJzn2Z0kuGTZ/ZcLhc4f27NbapnE1DyRZNWyeM8ns+jkZBe7zW2tfHle3Ocl7MvrjYXVVHTih7n1J9k7y31prV42reybJaUkeTXJiVb3yeT4yAAAsurm6wfSWoT10bMcwy/26JFuSfHpiQWttfZL7khyc0Uz5WN2eSX5+2PzUJHXfTHJjRktb3jbh8InT1D2a5C8n9AMAgG7NVVg/ami/PW7fMUN7a2vtySnqNkzomyQ/lmSfJA+11v5xpnVVtX9Gy13GH5/J9QAAoEvbHdar6uAk/27YvHzcoSOH9q5pyu+e0Hf873dnapPVHTG0Dw+z6DOtAwCALm1XWK+qJUk+meSAJNe11v5y3OGlQ/v4NKfYPLT7LWIdAAB0aXtn1v8oycok9+QHby7dIVXVacNz4Dc++OCDiz0cAAB2Ydsc1qvqwiS/kdFjGVe21u6f0GVsFnvfaU4zNhv+2CLWPUdr7aOtteWtteUHHXTQNKcCAID5tU1hvar+IMl7kzyYUVDfNEm3O4f28GlO9ZIJfcf/ftgs68bWxh843Gw60zoAAOjSrMN6VV2Q0ZtMv5vkhNbabVN0HXuc49FVtfcUfVZM6Jsktyd5MskLq+plP1iSJHn9xLrW2iNJxp4es+IHKqaoAwCAXs0qrFfVmiS/leR7SX6mtfbVqfq21u5JcnNGz0M/ZZJzHZ/Rc9nvz+i56WN1W5J8Ztj85UnqXprkDRk9v/3qCYfHXoQ0Wd3+Sd4xbF4x1bgBAKAXMw7rVfU7Sc5O8nBGQX0ms9MfHNrzq+rl4861LMnaYXNNa23rhLo1SVqSs6vq9ePqlib5+DDuta21hyfUfTijWflfq6p3jqtbkuSPk+yf5Mpp/msAAAB0Y8lMOg3B97xh844kZ1bVZF1vb62tGdtorV1WVeuSrErytaq6NsnTGT1BZv8kVya5aOJJWmsbquqcJOcn+VJVfT6jPxKOT7IsyZfHjWd83T1V9RtJ/jTJlVV1Q5J/yugNqYcPY//3M/nMAACw2GYU1pO8cNzvy4efyazPaFb8X7TWVg+h+fSMwvbuGa1L/3iSdZPMqo/VXVBVX03y/ozWoL8gyTeT/GGS32+tfX+Kuv9eVd9Mcm6SNyb5qYweLfl7ST4wrG0HAIDuzSist9YuSXLJtl6ktXZpkku3oe6zST67DXVfTnLibOsAAKAn2/tSJAAAYJ4I6wAA0ClhHQAAOiWsAwBAp4R1AADolLAOAACdEtYBAKBTwjoAAHRKWAcAgE4J6wAA0ClhHQAAOiWsAwBAp4R1AADolLAOAACdEtYBAKBTwjoAAHRKWAcAgE4J6wAA0ClhHQAAOiWsAwBAp4R1AADolLAOAACdEtYBAKBTwjoAAHRKWAcAgE4J6wAA0ClhHQAAOiWsAwBAp4R1AADolLAOAACdEtYBAKBTwjoAAHRKWAcAgE4J6wAA0ClhHQAAOiWsAwBAp4R1AADolLAOAACdEtYBAKBTwjoAAHRKWAcAgE4J6wAA0ClhHQAAOiWsAwBAp4R1AADolLAOAACdEtYBAKBTwjoAAHRKWAcAgE4J6wAA0ClhHQAAOiWsAwBAp4R1AADolLAOAACdEtYBAKBTwjoAAHRKWAcAgE4J6wAA0ClhHQAAOiWsAwBAp4R1AADolLAOAACdEtYBAKBTwjoAAHRKWAcAgE7NOKxX1Y9V1W9W1Ser6vaq2lpVrapOnqbmkqHPVD+3T1O7W1WdXlUbq2pzVT1SVddX1btnMNZTh76PDLUbh3P54wQAgB3Gkln0XZXkN7fxOn+b5I5J9n97ss5VtXuSv0jyziSPJvlckr2SrExyaVUd21qbdCxVdXGS1UmeSnJdkqeHuouSrKyqk1trW7fxcwAAwIKZTVj/epLfS7IxyU1J/iTJ8TOs/Vhr7ZJZXOt9GQX125K8tbX2QJJU1VFJrk/y3qr6fGvtqvFFVfWujIL6/UmOa61tGva/KMkXkpyU5MwkF85iLAAAsChmvCyktfax1tpZrbU/b63943wNaJhVP2vYXDUW1IcxbEpy9rB53iTl5w7t2WNBfah7IKP/MpAk51gOAwDAjqDH0PqGJMuS3Nta++Ikxz+d0dKWFVV1yNjOqjo0yeuSbBn6PEdrbX2S+5IcnOTYeRg3AADMqdksg9keb6mqVydZmuSBJDckuWaKtePHDO2GyU7UWnuiqm5N8prh574Jdbe21p6cYhwbkhwy9P3SrD8FAAAsoIUK6786yb7bquqXWmtfm7D/yKG9a5rz3Z1RUD9y3L6Z1o3vCwAA3ZrvZTB/n+S9SV6Z0az6jyZ5e5KvDPuuHb+UZbB0aB+f5rybh3a/OagDAIAuzevMemvtwxN2PZ7k6qq6Jsn6jNaOn5vkjPkcx2xU1WlJTkuSww47bJFHAwDArmxRbjBtrW1J8sFh820TDo/Nfu87zSnGZtEfm4O6iWP7aGtteWtt+UEHHTTNqQAAYH4t5tNgxt5eOnEZzJ1De/g0tS+Z0Hd76gAAoEuLGdZ/eGg3T9h/89CumKyoqvZJ8pPD5i3jDo39fnRV7T3FNVdM6AsAAN1azLD+C0M78RGNNyZ5MMmhVXXcJHWnJNkjyYbW2thjG9NauyejoL/n0Oc5qur4JIdm9HbTG7d79AAAMM/mLaxX1Wuq6u3DG0nH719SVe/P6CkxSfKh8cdba88muWDYXFdVy8bVHpVkzbD5gUkuO7YO/vyqevm4umVJ1g6ba6Z4vjsAAHRlxk+DqarX5l8DbzJ69GKS/G5V/aexna21sbeDHpHkiiQPVdXNSb6T0dKXV2X0CMetSc5qrf31JJf7UJLjkrwjyaaqui6j2fQTkrwgyUdaa1dNLGqtXVZV65KsSvK1qro2o7edrkyyf5Irk1w0088MAACLaTaPbtw/yU9Nsv+oKfp/JcmFSV6fUbB/c5KW5N4kn0hycWvtpskKW2vPVtWJSVYneU+Sn03ybJKbkqxtrV061SBba6ur6oYkpyc5PsnuGd3M+vEk68yqAwCwo5hxWG+t/U2SmkX/byV53zaMaax+a0az4LOeCR/C/JSBHgAAdgSLeYMpAAAwDWEdAAA6JawDAECnhHUAAOiUsA4AAJ0S1gEAoFPCOgAAdEpYBwCATgnrAADQKWEdAAA6JawDAECnhHUAAOiUsA4AAJ0S1gEAoFPCOgAAdEpYBwCATgnrAADQKWEdAAA6JawDAECnhHUAAOiUsA4AAJ0S1gEAoFPCOgAAdEpYBwCATgnrAADQKWEdAAA6JawDAECnhHUAAOiUsA4AAJ0S1gEAoFPCOgAAdEpYBwCATgnrAADQKWEdAAA6JawDAECnhHUAAOiUsA4AAJ0S1gEAoFPCOgAAdEpYBwCATgnrAADQKWEdAAA6JawDAECnhHUAAOiUsA4AAJ0S1gEAoFPCOgAAdEpYBwCATgnrAADQKWEdAAA6JawDAECnhHUAAOiUsA4AAJ0S1gEAoFPCOgAAdEpYBwCATgnrAADQKWEdAAA6JawDAECnhHUAAOiUsA4AAJ0S1gEAoFPCOgAAdEpYBwCATgnrAADQqRmH9ar6sar6zar6ZFXdXlVbq6pV1ckzqD21qq6vqkeqanNVbayq06tq2utX1c9V1eeq6qGqeqKqvl5V51XVXs9T91NVdUVVfaeqnqqqTVV1QVUdMNPPCwAAi202M+urknw4yS8n+bEkNZOiqro4yaeSLE9yfZJrkrwiyUVJLpsqsFfVWUk+k+StSW5OcnWSZUl+J8nfVNU+U9S9O8nfJjkxyT8kuSrJnkl+K8nGqlo2k3EDAMBim01Y/3qS30vyi0lenmT98xVU1buSrE5yf5JXt9be3lo7KclRSb6R5KQkZ05StzzJmiRPJHlja+2E1topSV6a5ItJjk3ygUnqDk3yJxn9IXFia+1NrbVfTPKyJH82jPuPZ/GZAQBg0cw4rLfWPtZaO6u19uettX+cYdm5Q3t2a23TuHM9kNFMfZKcM8ns+jkZBe7zW2tfHle3Ocl7kmxNsrqqDpxQ974keyf5b621q8bVPZPktCSPJjmxql45w/EDAMCimbcbTIdZ7tcl2ZLk0xOPt9bWJ7kvycEZzZSP1e2Z5OeHzU9NUvfNJDdmtLTlbRMOnzhN3aNJ/nJCPwAA6NZ8Pg3mmKG9tbX25BR9Nkzom4zWw++T5KFpZvB/oK6q9s9oucv44zO5HgAAdGk+w/qRQ3vXNH3untB3/O93Z2qT1R0xtA8Ps+gzrQMAgC7NZ1hfOrSPT9Nn89Dut4h1AADQJS9FmqCqThueA7/xwQcfXOzhAACwC5vPsD42i73vNH3GZsMfW8S652itfbS1try1tm8EtV8AAA0MSURBVPyggw6a5lQAADC/5jOs3zm0h0/T5yUT+o7//bBZ1o2tjT9wuNl0pnUAANCl+Qzrtwzt0VW19xR9VkzomyS3J3kyyQur6mU/WJIkef3EutbaI0nGnh6z4gcqpqgDAIBezVtYb63dk+TmjJ6HfsrE41V1fJJDM3q76Y3j6rYk+cyw+cuT1L00yRsyen771RMOj70IabK6/ZO8Y9i8YhYfBQAAFsV832D6waE9v6pePrazqpYlWTtsrmmtbZ1QtyZJS3J2Vb1+XN3SJB/PaNxrW2sPT6j7cEaz8r9WVe8cV7ckyR8n2T/Jla2127b7kwEAwDxbMtOOVfXa/GvATpJXDu3vVtV/GtvZWjt23O+XVdW6JKuSfK2qrk3ydJKVGYJzkosmXqu1tqGqzklyfpIvVdXnkzyc5Pgky5J8Ocl5k9TdU1W/keRPk1xZVTck+aeM3pB6eJI7kvz7mX5mAABYTDMO6xmF65+aZP9R0xW11lYPofn0jML27hmtS/94knWTzKqP1V1QVV9N8v6M1qC/IMk3k/xhkt9vrX1/irr/XlXfTHJukjcOY74nye8l+cCwth0AALo347DeWvubJLUtF2mtXZrk0m2o+2ySz25D3ZeTnDjbOgAA6ImXIgEAQKeEdQAA6JSwDgAAnRLWAQCgU8I6AAB0SlgHAIBOCesAANApYR0AADolrAMAQKeEdQAA6JSwDgAAnRLWAQCgU8I6AAB0SlgHAIBOCesAANApYR0AADolrAMAQKeEdQAA6JSwDgAAnRLWAQCgU8I6AAB0SlgHAIBOCesAANApYR0AADolrAMAQKeEdQAA6JSwDgAAnRLWAQCgU8I6AAB0SlgHAIBOCesAANApYR0AADolrAMAQKeEdQAA6JSwDgAAnRLWAQCgU8I6AAB0SlgHAIBOCesAANApYR0AADolrAMAQKeEdQAA6JSwDgAAnRLWAQCgU8I6AAB0SlgHAIBOCesAANApYR0AADolrAMAQKeEdQAA6JSwDgAAnRLWAQCgU8I6AAB0SlgHAIBOCesAANApYR0AADolrAMAQKeEdQAA6JSwDgAAnRLWAQCgU8I6AAB0SlgHAIBOCesAANApYR0AADolrAMAQKfmPaxX1SVV1ab5uX2Kut2q6vSq2lhVm6vqkaq6vqrePYNrnjr0fWSo3Ticyx8nAADsMJYs4LX+Nskdk+z/9sQdVbV7kr9I8s4kjyb5XJK9kqxMcmlVHdta+83JLlJVFydZneSpJNcleXqouyjJyqo6ubW2dfs/DgAAzK+FDOsfa61dMsO+78soqN+W5K2ttQeSpKqOSnJ9kvdW1edba1eNL6qqd2UU1O9PclxrbdOw/0VJvpDkpCRnJrlw+z8OAADMr+6WhQyz6mcNm6vGgnqSDOH77GHzvEnKzx3as8eC+lD3QJJVw+Y5lsMAALAj6DG0viHJsiT3tta+OMnxT2e0tGVFVR0ytrOqDk3yuiRbhj7P0Vpbn+S+JAcnOXYexg0AAHNqIZfBvKWqXp1kaZIHktyQ5JpJ1o8fM7QbJjtJa+2Jqro1yWuGn/sm1N3aWntyijFsSHLI0PdL2/QpAABggSxkWP/VSfbdVlW/1Fr72rh9Rw7tXdOc6+6MgvqR4/bNtG58XwAA6NZCLIP5+yTvTfLKjGbVfzTJ25N8Zdh37fjlLEOfJHl8mnNuHtr95qAOAAC6NO8z6621D0/Y9XiSq6vqmiTrM1o/fm6SM+Z7LDNRVaclOS1JDjvssEUeDQAAu7JFu8G0tbYlyQeHzbeNOzQ2+73vNOVjs+iPzUHdxHF9tLW2vLW2/KCDDprmVAAAML8W+2kwY28vHb8M5s6hPXyaupdM6Ls9dQAA0KXFDus/PLSbx+27eWhXTFZQVfsk+clh85Zxh8Z+P7qq9p7ieism9AUAgG4tdlj/haEd/5jGG5M8mOTQqjpukppTkuyRZENrbeyxjWmt3ZNR0N9z6PMcVXV8kkMzervpjXMyegAAmEfzGtar6jVV9fbhraTj9y+pqvdn9JSYJPnQ2LHW2rNJLhg211XVsnF1RyVZM2x+YJJLjq2BP7+qXj6ublmStcPmmkme7Q4AAN2Z76fBHJHkiiQPVdXNSb6T0dKXV2X0CMetSc5qrf31hLoPJTkuyTuSbKqq6zKaTT8hyQuSfKS1dtXEi7XWLquqdUlWJflaVV2b0dtOVybZP8mVSS6a6w8JAADzYb7D+leSXJjk9Rk9U/3NSVqSe5N8IsnFrbWbJha11p6tqhOTrE7yniQ/m+TZJDclWdtau3SqC7bWVlfVDUlOT3J8kt0zupH140nWmVUHAGBHMa9hvbX2rSTv28barRnNgs96JnwI81MGegAA2BEs9g2mAADAFIR1AADolLAOAACdEtYBAKBTwjoAAHRKWAcAgE4J6wAA0ClhHQAAOiWsAwBAp4R1AADolLAOAACdEtYBAKBTwjoAAHRKWAcAgE4J6wAA0ClhHQAAOiWsAwBAp4R1AADolLAOAACdEtYBAKBTwjoAAHRKWAcAgE4J6wAA0ClhHQAAOiWsAwBAp4R1AADolLAOAACdEtYBAKBTwjoAAHRKWAcAgE4J6wAA0ClhHQAAOiWsAwBAp4R1AADolLAOAACdEtYBAKBTwjoAAHRKWAcAgE4J6wAA0ClhHQAAOiWsAwBAp4R1AADolLAOAACdEtYBAKBTwjoAAHRKWAcAgE4J6wAA0ClhHQAAOiWsAwBAp4R1AADolLAOAACdEtYBAKBTwjoAAHRKWAcAgE4J6wAA0ClhHQAAOiWsAwBAp4R1AADolLAOAACdEtYBAKBTwjoAAHRKWAcAgE4J6wAA0ClhHQAAOiWsAwBAp3basF5Vp1bV9VX1SFVtrqqNVXV6Ve20nxkAgJ3LThlcq+riJJ9KsjzJ9UmuSfKKJBcluUxgBwBgR7DThdaqeleS1UnuT/Lq1trbW2snJTkqyTeSnJTkzEUcIgAAzMhOF9aTnDu0Z7fWNo3tbK09kGTVsHmO2XUAAHq3UwXWqjo0yeuSbEny6YnHW2vrk9yX5OAkxy7s6AAAYHZ2qrCe5JihvbW19uQUfTZM6AsAAF3a2cL6kUN71zR97p7QFwAAurSzhfWlQ/v4NH02D+1+8zwWAADYLksWewC9qarTkpw2bG6uqv9vMcfDNvuRJP+82IOYL3X+Yo8ApuS7B4tnp/3+7QLfvcOnOrCzhfWxWfN9p+kzNvv+2GQHW2sfTfLRuRwUC6+qNrbWli/2OGBX47sHi8f3b+e0sy2DuXNop/zrJMlLJvQFAIAu7Wxh/ZahPbqq9p6iz4oJfQEAoEs7VVhvrd2T5OYkeyY5ZeLxqjo+yaEZvd30xoUdHQvMUiZYHL57sHh8/3ZC1Vpb7DHMqao6OaMXIt2f5M2ttTuG/cuSfCHJK5O8r7V24eKNEgAAnt9OF9aTpKrWJlmV5Kkk1yZ5OsnKJPsnuTLJya21ZxdvhAAA8Px2yrCeJFV1apLTk7wqye5Jbk/y8STrWmtbF3NsAAAwEzttWAcAgB3dTnWDKQAA7Ex2tpciAQDs1Krq2CTHJDkyyX7D7scyeofMLa01T7zbiVgGAwCwA6iqM5Ock+Tg8buHdnyg+3aSNUkuboLeDk9YZ5dQVTcmWdFa81+TYBH4DsK2q6rK6LHUJ2UUzu9LsiHJ3Uk2D92WZvSW9hUZvVOmJbmitXbygg+YOeVfmuxK6vm7APPIdxC2zaok/zbJN5Ksaq19cbrOw0sg1yY5qar+Q2vtjxZgjMwTN5gCAPTtPUkeTfLTzxfUk6S1tj7JWzJax/4b8zw25pmZdXYoVfVvt7H0hXM6ENhF+Q7CovjxJJ9rrT0404LW2neq6rok/8v8DYuFIKyzo7ksz72JZqZqG+uA5/IdhIX3bJI9tqFuj6GWHZiwzo5m7P/sn/c/A07w2oxuvgG2j+8gLLyvJVlZVS9trX1zJgVV9bIkJyS5aV5HxrzzNBh2KFX1jSSvSPLy1tq3ZlF3Y5LXt9Z2n7fBwS7AdxAWXlWdmuSTSf4pydlJLmutfX+KvnslOSXJ+Rk94vGXW2v/z0KNlblnZp0dzcaMgsJrk8w4KABzxncQFlhr7dKqemNGT4X5v5N8rKpuTXJXkseHbvsmOTzJ0Un2zGjp2VpBfcfnaTDsaDZk9C+gFbOs88g4mBu+g7AIWmunZzRjfkuSvTL6g/mkJL8y/Jw07Ntr6HNKa+2MxRktc8nMOjuazya5MMk/zLJuVZL95344sMvxHYRF0lq7PMnlVXVIkmOSHJl/vRdkc5I7k9zSWrt3cUbIfLBmHQAAOmUZDAAAdEpYZ6dTVb9XVf+42OMAANhewjo7ox9JcsRiDwIAYHsJ6wAA0ClhHQAAOiWsAwBAp4R1dkbfTXL3Yg8CAGB7ec46AAB0ysw6AAB0SlgHAIBOCesAANApYR0AADolrAMAQKf+f/XBPjHOvJLqAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 864x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_6zpWzIJwHET"
      },
      "source": [
        "***NAIVE BAYES***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aX_rxw6-HUGo"
      },
      "source": [
        "from sklearn.naive_bayes import GaussianNB\n",
        "\n",
        "clf = GaussianNB()\n",
        "clf.fit(X_train, y_train)\n",
        "NB_predictions_test = clf.predict(X_test)\n",
        "NB_predictions_train = clf.predict(X_train)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OrYnlESmHXUl"
      },
      "source": [
        "NB_confusion_matrix_test, NB_classification_report_test = generate_prediction_results(y_test, NB_predictions_test)\n",
        "NB_confusion_matrix_train, NB_classification_report_train = generate_prediction_results(y_train, NB_predictions_train)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 652
        },
        "id": "ZMrXBfVEHbkA",
        "outputId": "af501a03-3847-4580-fb55-2a49edd0484e"
      },
      "source": [
        "labels = [-1, 0, 1]\n",
        "pretty_print_cm(NB_confusion_matrix_train, labels)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "id": "cJbVgEHnL5Lb",
        "outputId": "49691266-a7bf-4d3b-fe70-a89439ed8a4b"
      },
      "source": [
        "pd.DataFrame(NB_classification_report_train)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>-1</th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>macro avg</th>\n",
              "      <th>weighted avg</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>precision</th>\n",
              "      <td>0.757699</td>\n",
              "      <td>0.812916</td>\n",
              "      <td>0.801679</td>\n",
              "      <td>0.787524</td>\n",
              "      <td>0.790764</td>\n",
              "      <td>0.790764</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>recall</th>\n",
              "      <td>0.888220</td>\n",
              "      <td>0.657695</td>\n",
              "      <td>0.816656</td>\n",
              "      <td>0.787524</td>\n",
              "      <td>0.787524</td>\n",
              "      <td>0.787524</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>f1-score</th>\n",
              "      <td>0.817784</td>\n",
              "      <td>0.727114</td>\n",
              "      <td>0.809098</td>\n",
              "      <td>0.787524</td>\n",
              "      <td>0.784665</td>\n",
              "      <td>0.784665</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>support</th>\n",
              "      <td>3158.000000</td>\n",
              "      <td>3158.000000</td>\n",
              "      <td>3158.000000</td>\n",
              "      <td>0.787524</td>\n",
              "      <td>9474.000000</td>\n",
              "      <td>9474.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                    -1            0  ...    macro avg  weighted avg\n",
              "precision     0.757699     0.812916  ...     0.790764      0.790764\n",
              "recall        0.888220     0.657695  ...     0.787524      0.787524\n",
              "f1-score      0.817784     0.727114  ...     0.784665      0.784665\n",
              "support    3158.000000  3158.000000  ...  9474.000000   9474.000000\n",
              "\n",
              "[4 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 652
        },
        "id": "4_-OpNNuL8WF",
        "outputId": "8671823c-5bb0-46fa-eb56-0ee81c8e7360"
      },
      "source": [
        "labels = [-1, 0, 1]\n",
        "pretty_print_cm(NB_confusion_matrix_test, labels)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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4OT88tcx7nZLvT64LBvN6U4DB+eHQxnQdNSCUJEmSpEUQEUsA38kPz2tktW2BXsDElNKDZa7fQNYNdMuIWKXkvfoAmwOz8jLzSSk9AEwCegPbLKwRdhmVJEmSVCztb2H6zcm6g05KKU2IiM3Ium32AqYAd6WUHq5XZ9N8P6LcDVNK0yNiLLBJvk2qV29sSmlGhfaMAFbJyz7aUMMNCCVJkiRp0Xwx30+KiN8BP653/bSIuAX4VkppWn5ujXz/egP3fYMsGFyj5Fxj65WWrcguo5IkSZKKpf2NIeyR7zclCwYvIJtptDuwH1l2byBwWUmdbvl+GpVNzffLVKFeWQaEkiRJklRBRByTr+9Xtx1TplhdXNUZ+FtK6cSU0qsppQ9TSreSBYMJODQi1mqttjeGXUYlSZIkFUsrjiFMKV0JXLmQYp+UvP5jmXuMjIingC2AAcCrfJ7FW7qB+9ZlA0vv39x6ZZkhlCRJkqRFM6HC63Jleuf71/L9ag3ct2+9sotSrywzhJIkSZKKpWnrA7aGUSWvewJvlimzQr6vy/A9ne+3LHfDiOgKbFjm/nWv+0dElwozjW5Zr2xF7e6blCRJkqQiSSlNAp7ID3etfz0iugOb5Ycj8/1jwLtAn4jYscxtDyQbkzgiv3/de71JFkwukZep/14DgD7A5Pw9GmRAKEmSJKlYIlpva7wz8/1PI2KLz5saSwGXA8sBT5EHaSmlOcC5ebHLI6JXSZ1+wNn17lvqrHx/TkSsXVKvF5/PZHp2Smnuwhptl1FJkiRJWkQppdsi4vdky048GhGPA+8BWwErky09cVBKKZVUOx/YEfgq8HJE3EuWFdwNWAq4OKU0rMx73RgRlwODgTERcQ/wGVl2clngFuCSxrTbgFCSJElSsbS/MYQApJR+EhGPAt8nW5OwK9ki8eeRZezerVd+TkQMBI4FjgT2AOaQZRIvSyld18B7HRsRDwPHkc1c2hF4AbgKuLwx2UGAmD9AXXy9NHl6bXxQaTGySo8ubd0ESU1UI/+skBYr3ZZsxTUcqqTLjme02t82Mx48o3DfT1OYIZQkSZJULO00Q1hEfpOSJEmSVKMMCCVJkiSpRtllVJIkSVKxdFish/W1KjOEkiRJklSjzBBKkiRJKhYnlakav0lJkiRJqlFmCCVJkiQVS/GWTmy3zBBKkiRJUo0yQyhJkiSpWBxDWDV+k5IkSZJUo8wQSpIkSSoWxxBWjRlCSZIkSapRZgglSZIkFYtjCKvGb1KSJEmSapQZQkmSJEnF4hjCqjFDKEmSJEk1ygyhJEmSpGJxDGHV+E1KkiRJUo0yIJQkSZKkGmWXUUmSJEnF4qQyVWOGUJIkSZJqlBlCSZIkScXipDJV4zcpSZIkSTXKDKEkSZKkYnEMYdWYIZQkSZKkGmWGUJIkSVKxOIawavwmJUmSJKlGmSGUJEmSVCxmCKvGb1KSJEmSapQZQkmSJEnF4iyjVWOGUJIkSZJqlBlCSZIkScXiGMKq8ZuUJEmSpBplhlCSJElSsTiGsGrMEEqSJElSjTIglCRJkqQaZZdRSZIkScXipDJV4zcpSZIkSTXKDKEkSZKkYnFSmaoxQyhJkiRJNcoMoSRJkqRCCTOEVWOGUJIkSZJqlBlCSZIkSYVihrB6zBBKkiRJUo0yQyhJkiSpWEwQVo0ZQkmSJEmqUWYIJUmSJBWKYwirxwyhJEmSJNUoM4SSJEmSCsUMYfWYIZQkSZKkGmWGUG1m4huv8fSTj/LyC2N5+cVxvPXm66SUGPqLc9l+p93L1rnt39cz9tlRvD7+FT768H2mT5vG0t26scba67DrV/Zlp933qvgbo7lz53LHsBu4545hTHzjNTp06Mjqa/Zjr4EHMmC3PVvyo0o14fRTh3LbrbdUvL766mtw0213zHfu+XFjeeLxx3h+7HOMHTuGtyZNAuBv/7iBDfp/sUXbKwlO/9lQ/tPAc7va6mtw062fP7cpJf505eU8P24s4199hQ8+eJ8ZM2aw/PLd2WCD/gw68BvsOGDn1mi6apwZwuoxIFSbuWPYDdx643VNqvPv66/mow/eZ9U11ma9/huzVJeleGfy2zz79AhGP/UkjzxwDz/91e/p0GH+5PecOXM467Qf88QjD9B16W5susW2fPbZLEY//SS/+9UoXhw3hmOOH1LNjyfVrE023Yy+fVdd4PwKK664wLk//uEyht9/b2s0S1IDNm7kcztnzhz+cOlFLLnkkqzdbx3WXGttOnXqxMQ33+ShB4fz0IPD+cZBhzDklNNaq+mSFpEBodrMqmusxaBvHs7a627A2uuuz0Xn/oLnnnmqwTon/fxs1uq3Hkt16TLf+dcnvMrPfvRdnnh4OPfdeRu77bXffNdvvfHvPPHIA/RdfU3OPP9KuvfoCcBbE1/n5B8czW3/vp6NNtuSbb7kbzWlRTVw0AHsO3BQo8putPEmrN1vHdbfoD8b9N+Qow4/mLffequFWyipvoGDDmDf/Rb+3Hbs2JErr7qGL260CUssscR8154a+STHH/td/nn939llty+zxZZbt1RzJVWRYwjVZvbYZxBHDj6BHXb5Ml9YpW+j6vTfaNMFgkGA1dZYi70Hfh2AUSMfn+/anDlzuOn6vwJw7I9+Oi8YBFi5z2oc8d3jAfjXtX9u1ueQ1HxHHP0djv3BD9l5191YqXfvtm6OpIWICDbfYqsFgkGAzbfYij323AuAxx99pLWbphoTEa22Le4MCLXY6NixIwCdO8//P6kXxj7Lhx+8zworrsSGG2++QL3td9qdTp068fILY3nv3Xdapa2SJC2O6v5fXC5glNQ+2WVUi4XJb0/ijltvBGDr7QfMd238yy8A0G+9/mXrLrVUF1ZdfS3Gv/Ii4195kZ4r9mrZxkqLuZEjnuDll15k+vTp9Oy5AptsthnbbLv9AmN7JbUfI598glfy57ZHzxXYZNOmP7fPj3uOu/7vDiKCHQbs1HKNlQAW/8RdqzEgVCHdc/swxox+ijmzZ/O/d6fwwnPPktJcDvzW0Wy74y7zlZ3ydjZr4Yq9v1Dxfiuu1Jvxr7w4r6yk5vvPrcMWOLfmWmtz1rm/p98667ZBiyQtzH9vK//c/uacys/tNX/5M6+++jKzZs3irUmTGPvcs3Tq1Ikhp5zG+hts2NJNllQlhQwII+IxYMuUUiHbr0U37rlnuO/O2+Ydd+zYiUOOOpaBX//WAmVnzpgBZJnASpbq0hWAGdOnVbmlUu1YZ731GbJBf7badju+0PsLTJ02lReeH8elF13ASy++wODvHMV1/7qJXiut1NZNlZRbd931WX9of7beZjt6lzy3l12cPbfHHnMUf/9n+ef2sUcf5sknHpt33KVLV3500snst/8BrfkRVKNqYWxfaylyQOVPQQ07fsjpHD/kdD79dCZT3p7EPXfcyvVX/4GHh9/F6edcTM8V7PYptbZDDj18vuMuXbuy4oq92Gbb7fj2EYcy5tnRXPWnKxh66s/bqIWS6ju4gef2O0dmz+1f/nwFJ/90wef28j/+BYDp06fxxuuv869/XMeZvzydu+68g99feAlLL92tVT6DpEXjgA4V2pJLLsWqq6/FUYNP5LBjfsCEV17iigvOma9M3aykM2fOqHifmTOmA9Cl69It11ipRnXuvARHffu7ADzy0INt3BpJjdG58xIceXTjntuuXZdmvfU34Oe/+DXfOOgQRjz5OFdcdnFrNFM1zFlGq6dNA8KIGNScDejRyPsfExEjI2LkP6+9qoU/jdrarl/ZF4AnH32Q2bM/m3e+V++VAXh38tsV6777zpT5ykqqrtXXWAOAd/JnTVL715zn9qv77Q/Avffc3SJtklR9bd1l9EYgNaNeNKZeSulK4EqAlyZPb877qEC6LbMsHTt2Ys6c2Xzy8cfz1htca531AXj5hbFl682cOYM3JrySle23Xus0VqoxH374IQBdu3Zt45ZIaqyPPmr6c7t89+x39h+8/16LtEmqUwuZu9bS1gFhXZDW1D5EmwF2TNd8xo5+mjlzZrN0t2VYdrnl551fr/9GLLd8d/737hSeG/3UAmsRPjL8bmbPnk2/9fq75ITUQu7+vzsB2GDDL7ZxSyQ11rzntn/jn9sRTz4OQN9VV2uRNkmqvrYeQ/hSvj8qpbRzYzdgXFs2Wm1j7LOjePLRB5kze/YC18aNeYaLzv0FALvvPXDewriQLZI76KAjALjsvN/w4Qfvz7v21sTX+esV2TiHrx96dAu2Xlq8vfjC8zz4wP3MmTNnvvOzZ8/m2r9exT+uuxZYcOIZSW2nsc9t6cQzDz5wP0+NfJKUFux49dCDw7ng9+cCMOiAr7dgyyXHEFZTW2cIRwLrkGX8JrRxW9TKXnnpef5w/lnzjt94bTwA1/zxEm7+57Xzzv/u8msAeHvSm1x49uks3W0Z1lpnfbr36MmM6dN4+62JvJnX3WLbHfjW0ccu8F77HXgIY0c/xZOPPsh3D9mPjTfbitmzZzP6qSeYNetT9hn0Tbb50s4t+XGlxdpbkybx4xO+z3LLLcd66/enR48efPjRh7zy8ku8+847dOjQgR/+6CS2236H+eo99OBw/njF5fOO//fuuwCc8bOfslTeTW3FFVbk9xde0nofRqoRb701iZ+UPLfde/Tgow8/5JVXSp7bE+d/bp8f+xxX/uFSevToybrrrc/y3bvz8Ucf8dprE5g08U0A9v/agRz4jYPb6mNJaqK2DghHAIcAWwL/bkK9xT9UrwEzpk3jxXFjFjj/1sQ3ypbfcJPN+cZh32Hcs6N4a+IbvPDcaBKJ7j16st2AXdlp973ZdofyQV3Hjh059czzuf2Wf3HPHbfy9IhH6dChI2utuz577fd1dtp9z6p+NqnWrLPuehz0rcMYO+ZZxo9/hVFPf0hE0Gul3uw7cBBf/+bBbNB/wYWqP3j/fZ57dvQC51955eV5r7+wspM9SS1hnXXW46BDDmPsc9lz+1GZ57b+AvO77PZlZs6cyehnnuaVV17iww8+oEPHjvTqtRJ77bMv+w4cxJZbbdNGn0g1xWigaqJcyr/V3jxiHWAwMCal1OhpQCNiU2DZlNIDja3jpDJS8azSo0tbN0FSE7XhPyskNVO3JYvXL7Ln4de32t827/31oMJ9P03RphnClNJLwInNqDeqBZojSZIkqQBqYWxfa2nrSWUkSZIkSW2k3QeEEfHbiHi1rdshSZIkqX1wltHqafcBIbACsHpbN0KSJEmSFjdFCAglSZIkSS2grZedkCRJkqQmqYWunK3FDKEkSZIk1agiZAjfA8qvVC5JkiSp9pggrJp2nyFMKf0kpbRGW7dDkiRJkiqJiKsjIjWwvVChXoeIOC4iRkbE1Ij4KCIeioiDGvGeB+dlP8rrjszv1eg4rwgZQkmSJEmap52PIXwEeKXM+bfrn4iIjsBNwL7Ax8BdwJLArsB1EbFNSumH5d4kIi4FjgVmAvcCn+X1LgF2jYgDUkpzF9ZYA0JJkiRJqp4/pZSubmTZE8iCwXHALimlKQAR0Q94CDg+Iu5LKQ0rrRQRXyMLBicDO6aUXs7PrwTcD+wP/AC4cGENaPddRiVJkiSp1OKwMH2eHRySHw6uCwYB8gDv5Pzw1DLVT8n3J9cFg3m9KcDg/HBoY7qOGhBKkiRJUuvbFugFTEwpPVjm+g1k3UC3jIhV6k5GRB9gc2BWXmY+KaUHgElAb2CbhTXCLqOSJEmSCqWdjyHcOSI2AroBU4CHgbvLjOfbNN+PKHeTlNL0iBgLbJJvk+rVG5tSmlGhDSOAVfKyjzbUWANCSZIkSaqew8qcGxcR30wpjSk5V7eSwusN3OsNsmCwdNWFxtYrLVuRXUYlSZIkFUo7HUP4DHA8sAFZdnBlYB9gdH7untKun3kZgGkN3HNqvl+mCvXKMiCUJEmSpAoi4ph8fb+67Zhy5VJKF6SULk4pPZ9SmpZSejul9F9gK+BxsvGCp5Sr25bsMipJkiSpWFpxCGFK6UrgykWoPysizgKGAXuVXKrL4i3dQPW6bOAnVahXlhlCSZIkSWpZL+T70i6jr+X71Rqo17de2UWpV5YZQkmSJEmF0s5nGS2nZ76fWnLu6Xy/ZbkKEdEV2DA/HFVyqe51/yzAGjMAACAASURBVIjoUmGm0S3rla3IDKEkSZIktayv5/vSJSYeA94F+kTEjmXqHAh0BkaklOqWnCCl9CZZMLlEXmY+ETEA6ANMzt+jQQaEkiRJkrQIImKTiNgnIjrWO98pIn5MNvsowPl111JKc4Bz88PLI6JXSb1+wNn54Zll3vKsfH9ORKxdUq8XcFl+eHaZtQ8XYJdRSZIkSYXSDruMrg7cDLwfEU8D75B1E/0i2fITc4EhKaX/q1fvfGBH4KvAyxFxL1lWcDdgKeDilNKw+m+WUroxIi4HBgNjIuIe4DNgV2BZ4BbgksY03IBQkiRJkhbNaOBCsiUmNgB2ABIwEfgLcGlK6an6lVJKcyJiIHAscCSwBzAHeAq4LKV0XaU3TCkdGxEPA8cBA4COZJPXXAVc3pjsIBgQSpIkSSqY9pYhTClNAE5oZt25ZNm8RmX06tW9DqgYNDaGYwglSZIkqUaZIZQkSZJULO0rQVhoZgglSZIkqUaZIZQkSZJUKO1tDGGRmSGUJEmSpBplhlCSJElSoZghrB4zhJIkSZJUo8wQSpIkSSoUM4TVY4ZQkiRJkmqUGUJJkiRJhWKGsHrMEEqSJElSjTJDKEmSJKlYTBBWjRlCSZIkSapRBoSSJEmSVKPsMipJkiSpUJxUpnrMEEqSJElSjTJDKEmSJKlQzBBWjxlCSZIkSapRZgglSZIkFYoJwuoxQyhJkiRJNcoMoSRJkqRCcQxh9ZghlCRJkqQaZYZQkiRJUqGYIKweM4SSJEmSVKPMEEqSJEkqFMcQVo8ZQkmSJEmqUWYIJUmSJBWKCcLqMUMoSZIkSTXKDKEkSZKkQunQwRRhtZghlCRJkqQaZUAoSZIkSTXKLqOSJEmSCsVJZarHDKEkSZIk1SgzhJIkSZIKxYXpq8cMoSRJkiTVKDOEkiRJkgrFBGH1mCGUJEmSpBplhlCSJElSoTiGsHrMEEqSJElSjTJDKEmSJKlQzBBWjxlCSZIkSapRZgglSZIkFYoJwuoxQyhJkiRJNcoMoSRJkqRCcQxh9ZghlCRJkqQaZYZQkiRJUqGYIKweM4SSJEmSVKMMCCVJkiSpRtllVJIkSVKhOKlM9ZghlCRJkqQaZYZQkiRJUqGYIKweM4SSJEmSVKPMEEqSJEkqFMcQVo8ZQkmSJEmqUWYIJUmSJBWKCcLqMUMoSZIkSTXKDKEkSZKkQnEMYfWYIZQkSZKkGlUzGcJVV+ja1k2Q1ERzU2rrJkhqok9mzm7rJkhqom5Ldm7rJjSZCcLqMUMoSZIkSTWqZjKEkiRJkhYPjiGsHjOEkiRJklSjzBBKkiRJKhQThNVjhlCSJEmSapQBoSRJkiTVKLuMSpIkSSoUJ5WpHjOEkiRJklSjzBBKkiRJKhQThNVjhlCSJEmSapQZQkmSJEmF4hjC6jFDKEmSJEk1ygyhJEmSpEIxQ1g9ZgglSZIkqUaZIZQkSZJUKCYIq8cMoSRJkiTVKDOEkiRJkgrFMYTVY4ZQkiRJkmqUAaEkSZKkQolova35bYzfRETKt580UO7giHgoIj6KiKkRMTIijouIBmO1iPhKRNwVEe9HxPSIeC4iTo2IJZvSTgNCSZIkSaqiiNgSGAKkhZS7FPg7sAXwEHA3sA5wCXBjpaAwIoYAdwC7AE8D/wV6Ab8GhkdE18a21YBQkiRJUqFERKttzWjbksBfgSnAsAbKfQ04FpgMbJRS2ieltD/QD3ge2B/4QZl6WwBnA9OB7VNKu6WUDgTWBB4EtgHObGx7DQglSZIkqXp+CawPfA/4qIFyp+T7k1NKL9edTClNAQbnh0PLZAmHAgGck1J6oqTeVOBIYC5wbEQs35jGGhBKkiRJUhVExNbAj4HrUkq3NVCuD7A5MAu4of71lNIDwCSgN1nGr67eEsCe+eHfy9QbDzwGLAHs1Zg2GxBKkiRJKpT2OKlMRCxF1lX0feCHCym+ab4fm1KaUaHMiHplAdYFugLvp5RebUK9ilyHUJIkSZIW3ZlkAds3U0r/W0jZNfL96w2UeaNe2dLXb1BZuXoVGRBKkiRJKpQO7Wxh+ojYDjgBuCWl9M9GVOmW76c1UGZqvl+mCvUqssuoJEmSJFUQEcfkawPWbcfUu94FuBr4mGzW0EIxQyhJkiSpUFozQZhSuhK4soEivyFbKuKolNLbjbxtXRZv6QbK1GUDP6lCvYoMCCVJkiSp+fYnW+rh8Ig4vN619fL94IjYB3glpfRt4LX8/GoN3Ldvvn+t5Fzd61WbWK8iA0JJkiRJhdKcBeNbWAdgQAPX18y3urUBR+X7/hHRpcJMo1vWKwvwAjAD6BERa1WYaXSrMvUabLgkSZIkqRlSSqunlKLcRrYMBcBJ+blN8jpvAk+TrRd4YP17RsQAoA8wmWxdwbr3mgXckR8eUqbemsC2ZOsb/rcx7TcglCRJklQoHaL1thZ0Vr4/JyLWrjsZEb2Ay/LDs1NKc+vVOxtIwMkRsVVJvW7AVWQx3mUppQ8b0wgDQkmSJElqZSmlG4HLgd7AmIi4LSJuAl4GNgBuAS4pU28EMJRsgfpHI+KuiPgX8CpZt9UngFMb2w7HEEqSJEkqlHY4hrBZUkrHRsTDwHFkwVxHsnGCVwGXl8kO1tU7NyKeBX5MNtZwKWA8cBHwu5TSp41tgwGhJEmSJLWAlNIRwBELKXMdcF0z7n0ncGezGlbCgFCSJElSoSwmCcJ2wTGEkiRJklSjzBBKkiRJKpTAFGG1mCGUJEmSpBplQChJkiRJNcouo5IkSZIKpYUXjK8pZgglSZIkqUaZIZQkSZJUKIvLwvTtgRlCSZIkSapRZgglSZIkFYoJwuoxQyhJkiRJNcoMoSRJkqRC6WCKsGrMEEqSJElSjTJDKEmSJKlQTBBWjxlCSZIkSapRZgglSZIkFYrrEFaPGUJJkiRJqlFmCCVJkiQVignC6jFDKEmSJEk1ygyhJEmSpEJxHcLqMUMoSZIkSTXKgFCSJEmSapRdRiVJkiQVih1Gq8cMoSRJkiTVKDOEkiRJkgrFhemrxwyhJEmSJNUoM4SSJEmSCqWDCcKqMUMoSZIkSTXKDKEkSZKkQnEMYfWYIZQkSZKkGmWGUJIkSVKhmCCsHjOEkiRJklSjzBBKkiRJKhTHEFZPkzOEEbF2RPw2Ih6OiBcj4tySa1tHxDERsXx1mylJkiRJqrYmZQgj4mjgUmCJ/FQCVigp0hW4HPgM+Es1GihJkiRJpVyHsHoanSGMiO2BK4CZwEnA1kD9P4oHgI+AfavVQEmSJElSy2hKhnAIWUZwz5TSY7Bg392U0tyIGAWsX7UWSpIkSVIJxxBWT1PGEG4LPFkXDDZgMvCF5jdJkiRJktQamhIQLgdMbES5bjh7qSRJkiS1e00J3N4B1mhEuXWBSc1rjiRJkiQ1zA6j1dOUDOEjwGYRsUWlAhGxO7AOMHwR2yVJkiRJamFNCQjPJwvGb4qIL0fEfHUjYkfgKmA2cHH1mihJkiRJn+sQ0Wrb4q7RAWFK6QmymUb7AHcA75HNOjowIqYA9wOrAENSSmNaoK2SJEmSpCpqSoaQlNLvgb2BkWSTzASwPLAi8BwwMKV0QbUbKUmSJEl1IlpvW9w1eTbQlNIdwB0R0ZNskpmOwJsppbeq3ThJkiRJUstp9vIQKaX3yLqNSi3uogvO489/vAKAH/1kCIcfefR811+bMJ5HHn6I554bw7ixz/H6a6+RUuJ3513I7nt8pS2aLNW8iy84j6v+dCUAJ/74JA4reW5HPvkE3znq8Ebd5/a77+MLX1i5RdooCd6ZMpnrrrmKkY8/ypQpb0NKrLhSbzbfcmsOOvQoVu7Td17ZUU89yQnfO6pR9/3XbXezUm+XplbLcGH66nG9QLV7z415lquv+hMRQUqpbJl//eN6/v63a1q5ZZIqGTtmDH/9y58rPrc9V1iRr+43sGL958aMYcL4V+nbd1V6+w9KqcW89OLznDj4aKZ+8jEr9lqJrbbZHoAXnx/LrTfdwN13/pffXXQFG268KQA9eq7AV/ber+L9nh83htcnjGeVPn3ptVLvVvkMkhZNowPCiPh5E+6bUkq/akZ7pPnMmjWL0346lB49e7LhFzfi/nvvKVtu7X7rcMSRR7PBhhuywQYbcsbPT2XkiCdbubWSIH9uT82f2w034v77Fnxu11hzTX555tkV7zFo370B2G//Qf4WWGpBF5zza6Z+8jH7DDyAE08+lU6dOgMwe/Zn/P6sX3L7rTdz3jm/4qrrbgJgtdXX5JQzzqx4v8O+vi8Ae+67v8+uWpQ/XtXTlAzhGWSzipb7+kt//Rv5sQGhFtmlF1/I+PGvcuEll3Pv3XdVLDfogANbsVWSGnL5JRcxYfyrXHDJZQ0+t5WMfmYUE8a/SseOHfnqwP1boIWSAD799FPGjhkNwFHfPW5eMAjQqVNnvj34eG6/9WZeffklZs6cwVJLdWnwfs89+wyvTxhPx44d2XOfyj0AJLUvTQkIf1HhfAdgNWAnYFWytQjfXLRmSfDss6O59q9/Ya+992GnnXdp1j8sJbWuMflzu+fe+zBgp+Y9t8NuzjIR223/JXr1WqnaTZSU69ixAx07dmLOnNkNluvSpQtLLrnUQu93+603A7DVttuzwoq9qtJGqZJaWB+wtTQ6IEwpVQoIAYiIpYA/AF8BNmtugyJiG2BTshlMl8lPfwK8BoxKKT3W3HurOD799FNO++nJLLvccgw55dS2bo6kRvj000/5+alDWXa55ThpaPOe2xkzZnDXnbcDMHDQAdVsnqR6OnXqzOZbbs2Tjz/CVVdcukCX0T//4WIA9tp34V23Z86cwf333DmvvKTiqNqkMimlmRHxPWAC8GvgmKbUj4gfAEOB0hHIdX/7pJJybwNnA5emSjOMqPAuvvB8XpswgXN+dz7du/do6+ZIaoRLLsqe27N/ex7du3dv1j3uvutOpk2bRo8ePdlhwE7VbaCkBZx48s846Yff4z+33MgTjz7Euhv0B+DFcWP55OOPOfCgQ/ne8T9a6H2G33MX06dNo3uPHmy3w4CWbrbkGMIqquoso3lQOBLYq7F1IvuV0w3A/mQB4CRgBPAGMDUv1g3oC2wJ9AEuJOui6q+PF0PPjHqav1/7V3bedTe+smejf5QktaFnRj3Ndddew8677MYei/DcDrv53wDss+9+dO7ceSGlJS2qlfv05dI//43fnP5Tnnj0Id59Z8q8a+uu35+NNtlsvrGFldR1F91jr30bVV5S+9ESy050AlZoQvnBwCDgeWBwSunBhgpHxADgMmD/iPheSukPzW6p2p2ZM2dy2qmnsHS3bpx62ult3RxJjTBz5kxO/1n23J5yWlMmpJ7fG2+8ztMjRwKw3/5fq1bzJDXgudGjOG3ICXTt1o3f/O5i+m+8ybzzl13wW047+USOPOY4jvjO4Ir3mPjmG4welT27e+7rRFBqHc5iWz0dqnmziFgH2IEsy9dYRwIfAzstLBgESCk9AOxMNq7w6IUUV8FcfMF5vPH6a/xkyFBWdEC6VAiXXHg+b7z+Oj8+6eRFem6H3ZRlBzfaeBPWXGutajVPUgWffPIxp570Q6ZPn85vL/wD2w/YmeWX787yy3fnSwN24dyLrmDJJZfimj9fwcQ3Xq94n9tvzSaC6v/FjVl9DZ9dqWiasg7hYQ1c7gasBxwKdAH+0YQ2rAfclVJ6t7EVUkrvRMS9wJcbKhcRx5CPZbzksis4+jtNGtaoNnDfvffQoUMHbht2C7cNu2W+axPGjwfgX/+8ngcfGE7fVVfljF9WXgtJUuu47967Kz63r02YAMAN//xH/tyuxum//PUC95gzZw7/uW0Y4GQyUmt5/OEH+fCD99lsi61ZuU/fBa736bsq62/4RZ55agSjnhpBn1VXW6DMnDlzuOv22wDYez8nk1HrqWpWq8Y1pcvo1cy/3mB9dXnb/1B5iYpy5gDN6WzeOa9bUUrpSuBKgJmzG2y72pG5c+c2uKj8xDffZOKbb/LJxx+3YqskNWTu3Lk8NXJExesTJ77JxIlv8sknn5S9/ugjD/POlCl07dqVPfbcs6WaKanElMlvA7B0t24Vy3RbJpvw/ZOPPyp7fcTjj/DuO1Po0rUrO+/usysVUVMCwmuoHBDOIusmem9K6ZEmtmEMsGtErJlSGt+YChGxFrAb8FQT30vt3B1331fx2mk/Hcqtw27mRz8ZwuFH2ltYai9uv6vyc/vzU4dy27BbOPHHJ3FYA8/tLTfdCMDue+xJ165LV72NkhZUt1bgSy+MY/bszxaYDGb27M946flxAPReeZWy9/jvsKy76M677UHXrl1bsLWSWkpT1iE8ooXacDnwN+DBiDgZuDGl9Gm5ghGxJHAgcA6wJHBpC7VJktRKPvjgAx4cPhyAgYOcTEZqLVtv9yWWWqoLUya/zSXnncuxJ5zEEkssAcCsWbO4+LyzeWfKZJZZdlm22nb7Bep/+OEHPPrQcAD2du1BtTInlamepowhPB6YnlL6UzUbkFK6LiK2J5tt9BrgTxExFngdmJYXWxpYDegPLEHWPfWylFJTxipqMfb8uLGc+avPeyqPf/UVAC668Hz+evVV887/7fp/tXrbJDXsv7cNY/bsz1hjjTXZZNPN2ro5Us3o3qMnJ578M8799c+5+YbreWj4vfRbd30gyxq+9793WWKJJTj5tF/RrdsyC9S/6/bbmD17NquuvgYbbrxpazdfUpU0pcvoecAdQFUDQoCU0nERcR9wCrBZyVbO08BZKaV/V7sdKq6pU6cy5tnRC5x/4/XXWr8xkprk1puzLmcuNSG1vq/ssx9rrt2PG66/lmefeZqnnnwMyLqT7r3fIL5+8OGsvmb5mUPvuC1be3Avl5pQG+hggrBqIqXGzbUSEW8D96eUDm7RBkWsAmwKrEE2eylkC9S/BoxKKU1szn2dVEYqnrmN/PtJUvvx8YzZbd0ESU3Ue9nOhQuvThj2Qqv9I+GC/dYr3PfTFE3JED4MbNlSDamTUppE09YxlCRJklRDzBBWT1OW8Pgl0CcifhGO4pQkSZKkwmtKhnBT4FrgZ8ABETGMbOKXGeUKp5SuWfTmSZIkSdL8zE9VT8WAMCKuAh5OKdVN0Xg12TqEAawPrLeQexsQSpIkSVI71lCG8Ih8XxcQNrQwvSRJkiS1CscQVk97WJhekiRJktQGmjKGUJIkSZLanEMIq6cps4xKkiRJkhYjZgglSZIkFUoHU4RVs7CA8ICI2KkZ900ppbWaUU+SJEmS1EoWFhB2y7emcjZSSZIkSS3CcW/Vs7CA8E7gnNZoiCRJkiSpdS0sIJycUnqgVVoiSZIkSWpVTiojSZIkqVCcU6Z67H4rSZIkSYsoIn4QEf+KiOcj4r2I+Cwi3o2IeyLiWxHlw9iI6BARx0XEyIiYGhEfRcRDEXFQI97z4LzsR3ndkfm9Gh3nmSGUJEmSVCjtdNmJk4FewHPAo8A0YDVgF2BXshUcBqWU5tZViIiOwE3AvsDHwF3Aknn56yJim5TSD8u9WURcChwLzATuBT7L610C7BoRB5S+VyUGhJIkSZK06L4JjEopTSs9GRH9yQK2/YDDgb+UXD6BLBgcB+ySUpqS1+kHPAQcHxH3pZSG1bvn18iCwcnAjimll/PzKwH3A/sDPwAuXFijK6YSU0odUkpHLewGkiRJktSaIlpva6yU0sP1g8H8/Fjg0vxw988/Q3QEhuSHg+uCwbzOy2QZR4BTy7zdKfn+5LpgMK83BRicHw5tTNdRxxBKkiRJUsuane8/LTm3LVkX04kppQfL1LmBrBvolhGxSt3JiOgDbA7MysvMJ18lYhLQG9hmYQ0zIJQkSZJUKB2i9bZFFRFrAN/LD28tubRpvh9Rrl5KaTowNj/cpEy9sSmlGRXedkS9shU5hlCSJEmSqiQijgQGAJ2BPsB2ZIm436SUbi4puka+f72B271BFgyuUXKusfVKy1ZkQChJkiSpUNrpLKN1tiebPKbObOA04Lx65brl+wXGHZaYmu+XqUK9suwyKkmSJEkVRMQx+fp+ddsxDZVPKX07pRRAV6A/cAFwBvB4RKzc8i1uGjOEkiRJkgqlNROEKaUrgSubUW8G2XISJ0XEZOB3ZGsEDsqL1GXxlm7gNnXZwE9KzjW3XllmCCVJkiSpZV2d778aEZ3z16/l+9UaqNe3XtlFqVeWGUJJkiRJhVKN2T9b2QdkYwk7AT2AKcDT+bUty1WIiK7AhvnhqJJLda/7R0SXCjONblmvbEVmCCVJkiSpZe1IFgx+CPwvP/cY8C7QJyJ2LFPnQLKZSkeklCbVnUwpvUkWTC6Rl5lPRAwgm910cv4eDTIglCRJklQo0Yr/Nao9EV+KiH0iYoEemBGxPfDn/PDPKaU5APn+3Pz85RHRq6ROP+Ds/PDMMm95Vr4/JyLWLqnXC7gsPzw7pTR3YW23y6gkSZIkLZq1gb8AH0bE02TZuWWAtYAN8jL/JVt+otT5ZNnDrwIvR8S9ZFnB3YClgItTSsPqv1lK6caIuBwYDIyJiHuAz4BdgWWBW8gmsFkoA0JJkiRJWjQPAL8CdgD6kS1GH2SB4b+Bv6WUbqlfKaU0JyIGAscCRwJ7AHOAp4DLUkrXVXrDlNKxEfEwcBwwAOgIvABcBVzemOwgQKSUGvshC23mbGrjg0qLkbk18veTtDj5eMbstm6CpCbqvWznwk3RcvZ9r7baPxKG7rJW4b6fpnAMoSRJkiTVKLuMSpIkSSqUAi470W6ZIZQkSZKkGmWGUJIkSVKhRJgirBYzhJIkSZJUo8wQSpIkSSoUxxBWjxlCSZIkSapRZgglSZIkFYpDCKvHDKEkSZIk1SgzhJIkSZIKpYMpwqoxQyhJkiRJNcoMoSRJkqRCcZbR6jFDKEmSJEk1ygyhJEmSpEJxCGH1mCGUJEmSpBplQChJkiRJNcouo5IkSZIKpQP2Ga0WM4SSJEmSVKPMEEqSJEkqFCeVqR4zhJIkSZJUo8wQSpIkSSoUF6avHjOEkiRJklSjzBBKkiRJKpQODiKsGjOEkiRJklSjzBBKkiRJKhQThNVjhlCSJEmSapQZQkmSJEmF4hjC6jFDKEmSJEk1ygyhJEmSpEIxQVg9ZgglSZIkqUaZIZQkSZJUKGa1qsfvUpIkSZJqlAGhJEmSJP1/e3ceZ2Vd93/89RkWATdAQFQEF1xBcV9uu8Wg0lwqzS01l1QKLSs1l9sy78pd69Zcuq3McvmVud2amSYoWpqh4IKAuLIjyCqbLPP9/XHO4JnhzMphZs5cryePeVznnOv7uc73zOMxj+Ez7+u6vhnlKaOSJEmSykp4V5mSMSGUJEmSpIwyIZQkSZJUVswHS8eEUJIkSZIyyoRQkiRJUlmp8BrCkjEhlCRJkqSMMiGUJEmSVFbMB0vHhFCSJEmSMsqEUJIkSVJZ8RLC0jEhlCRJkqSMMiGUJEmSVFbCiLBkTAglSZIkKaNMCCVJkiSVFVOt0vF7KUmSJEkZZUIoSZIkqax4DWHpmBBKkiRJUkbZEEqSJElSRnnKqCRJkqSy4gmjpWNCKEmSJEkZlZmEcNmK1S09BUmNtHj5qpaegqRG2nHoBS09BUmNtGzsLS09hUbzpjKlY0IoSZIkSRmVmYRQkiRJUttgqlU6fi8lSZIkKaNMCCVJkiSVFa8hLB0TQkmSJEnKKBNCSZIkSWXFfLB0TAglSZIkKaNMCCVJkiSVFS8hLB0TQkmSJEnKKBNCSZIkSWWlwqsIS8aEUJIkSZIyyoRQkiRJUlnxGsLSMSGUJEmSpIyyIZQkSZKkjPKUUUmSJEllJbypTMmYEEqSJElSRpkQSpIkSSor3lSmdEwIJUmSJCmjTAglSZIklRUXpi8dE0JJkiRJyigTQkmSJEllxWsIS8eEUJIkSZIyyoRQkiRJUlkxISwdE0JJkiRJyigbQkmSJEllJZrxX4PmE9EhIoZGxI0R8XJELIqIFRExPSIeiIhD6qk/KSKej4iFEbE4f4xzI6LOfi0iDouIpyJiXkQsjYhxEXFZRGzQ0O+lDaEkSZIkrZvBwNPA+cBWwHPAw8A84KvAMxHxk2KFEXErcC+wD/A88HdgR+AW4IHamsKIuAh4AhgCjAEeB3oBPwOejYguDZm41xBKkiRJKisVre8awkrgQeCmlNLzhTsi4gRyDd+PIuKZlNIzBfu+CpwDzAIOTim9nX99c+AZ4GjgO8BNNY65D3ANsBQYklJ6Kf/6RuQaw4OBK4Hv1zdxE0JJkiRJWgcppZEppWNrNoP5fX8C7so/PaXG7kvz24urmsF8zYfA8PzTS4qkhJcAAVxb1Qzm6xYDZ5BrUM+JiK71zd2GUJIkSVJZaW3XEDbA2Py2z5rPENEH2BtYAfy5ZkFKaRQwHegNHFBQ1xH4Yv7pvUXq3gNeBDoCh9c3MRtCSZIkSVq/dshvZxa8tmd++2ZKaVktdaNrjAXYCegCzEspvduIuqJsCCVJkiRpPYmI3sDp+acPFuzaNr+dXEf5lBpjCx9PoXbF6orypjKSJEmSykq5LEwfEe2Be4BNgREppccKdm+U3y6p4xCL89uNS1BXlAmhJEmSJNUiIobl1wWs+hrWiPJfAUOBqax9Q5lWwYRQkiRJUlkp4c1e6pVSugO4o7F1EXETcCa5JSWGppRm1RhSleJtWMdhqtLAj0tQV5QJoSRJkiSVUETcCJwHzCHXDL5dZNgH+W2/Og61dY2xhY/7NrKuKBNCSZIkSWWlFS5Mv0ZEXAecD8wFPpdSGl/L0KqlKAZEROda7jS6b42xABOBZUD3iNi+ljuN7lekrigTQkmSJEkqgYi4BvgBMB/4fErp9drGppSmAmPIrRd4XJFjDSa3buEscusKVtWtAJ7IPz25SN12wIHk1jd8vL452xBKkiRJKiutcWH6iPgZcDGwgFwzWG86B1yd314bEf0LjtULuC3/qeIJLgAAHuhJREFU9JqUUmWNumuABFwcEfsV1G0E3Emuz7stpbSgvgl4yqgkSZIkrYOI+BJwWf7pO8B3ovjaGBNTStdUPUkpPRARtwPDgTci4mlgJbk7k24CPALcUvMgKaXREXEJcC3wQkSMJNeIDgZ6AS8VzKdONoSSJEmSykorXIewe8HjffJfxYwil+6tkVI6JyL+AZxLrqFrR+46wTuB24ukg1V110XE68AF5K417AS8B9wM3JBS+qQhE7chlCRJkqR1kFK6C7hrHervA+5rQt3fgL819X3BhlCSJElSmWl9AWH58qYykiRJkpRRJoSSJEmSykpFK7yIsFyZEEqSJElSRpkQSpIkSSor5oOlY0IoSZIkSRllQyhJkiRJGeUpo5IkSZLKi+eMlowJoSRJkiRllAmhJEmSpLISRoQlY0IoSZIkSRllQihJkiSprLgufemYEEqSJElSRpkQSpIkSSorBoSlY0IoSZIkSRllQihJkiSpvBgRlowJoSRJkiRllAmhJEmSpLLiOoSlY0IoSZIkSRllQihJkiSprLgOYemYEEqSJElSRpkQSpIkSSorBoSlY0IoSZIkSRllQyhJkiRJGeUpo5IkSZLKi+eMlowJoSRJkiRllAmhJEmSpLLiwvSlY0IoSZIkSRllQihJkiSprLgwfemYEEqSJElSRpkQSpIkSSorBoSlY0IoSZIkSRllQihJkiSpvBgRlowJoSRJkiRllAmhJEmSpLLiOoSlY0IoSZIkSRllQihJkiSprLgOYemYEEqSJElSRpkQSpIkSSorBoSlY0OoVm358uX8+Y/3MvLvTzJ1ymRWrlpJ9+6bscuuAzjh5FMZtMdea9UsWrSQ/3f373lu1EhmTp9GSonNevRk4O6DOO2Ms9l2+/4t8EmktmHq5PcZ/a9/8taEN5k04U2mTZ1MSonLr7yBg4d8oc7aEU8+zmMP389777xNZeVq+vbblkOP+ApHHXM8FRVrn7Ay4snHGf2vf/LOpInMnzeXxR9/TOcunem3bX8++7nDOPLoY2nfvsP6+qhSm9Npgw6cc+Jgjvn8nmzftycd27dn9rxFjBk/hVvufZYXX3sPgM6dOvDZ/XbiCwftykF79mebrTajQ/sKZn20iH+MeYdf3vMMr701ba3jN7VOUsuyIVSrNWP6NM4bfhbTpk6hR4+e7L3vfrRr145ZM2cy6tmR9N9x57Uawonj3+T73/kW8+fNZcut+rD/gZ+hMlUyY9pUnvzrX9j/wINsCKV18NhD9/PQ/fc2uu7m66/k0Yf+RMeOG7DnPvvTvn17xr78Er+88SrGvvwSl19141pN4aMP3c+Eca/Rd5vt2GmXAWy40UbMnTOH8eNe483XxzLiqce57uY76Ny5S6k+ntRm9dtyM/5y+7n079uLmXMW8tzot1m1ejV9t+jOUYcM4vVJ09c0hCd8cR9uv/xkACbPmMszL01k1epKdttxK04+cn9OOGwfzrvqT/zu4ReqvUdT66QmMSIsGRtCtUrLli3lvOFnMn3aNM4573xOPvUM2rVrt2b/wgULWLhwQbWaObNnc945Z7Fs6VIu/8nVHH7Ul6vtnz37QypXr26W+Utt1Tbb9+f4k09nx50HsOPOu3LDVT/m9bEv11nz3DN/59GH/kT3zXrw89t/R5+t+wEwf95cLjj3TP4xagSP/Pk+jjnhlGp1w8+7kD59+7HRxptUe33O7FlcfN43mTDude6/53ecdva5pf2QUhvTpVNHHr/922zbZzN+eNMj/OIPI6isTGv2d990Q7pvuuGa5ytXVXLXIy/wqz8+t1aid94pQ7j2gmP4n0uP5/lX3uGdKbPXuU5Sy/KmMmqVfvfrXzFt6lS+evzXOPWMs6o1gwCbdu1K337bVHvt5p9fx6KFC/nWt7+3VjMI0KvX5vTeYsv1OW2pzTv8S19l2LfP55DPHcqWfbZuUM0f//BbAM4653trmkGAbt0347s/+GFuzN13UllZWa1u5wG7rdUMAvTs1ZuvnXYWAK/8+19N+hxSllxy9mFs37cn/3v/89x419PVmkGAeQuXVGvQ7n3sJYb/931FT++8+Z6RjHxpIh07tOfYQ6ufpdPUOkkty4ZQrc7KlSv4v4cfAOCkr5/eoJq5H81h5Iin6NSpM8ccd8J6nJ2kxpgzexaTJo6nQ4cODC5yjeGgvfahR89ezJv7ERPGvd7g41b9kahDx44lm6vUFnVo344zjv4PAG66e2RJjvnaxFzDt1Wvrs1SJxUTzfivrfOUUbU6E8ePZ+GCBfTstTlbbtWHiRPGM2rk08yfP5fu3Xuw34H/wR577l2t5pXR/2b1qlUMGLg7nTt3YczLo3nhn8+x+ONF9Np8C/7z4EPYYaedW+gTSdn1zlsTAei37fZs0KlT0TE77TKQj+aM5J1JExmw+x71HnPhgvncf+9dABz4mUNKNFOpbdpr17706LYR0z+cz+QZc9lj5z58acggenbbmNnzPmbEixN44dX3GnXM/n17AjDro0XNUidp/bIhVKvz7juTAOjZqxc3//w67rv7rmr77/z17Qz+7FCuuPLaNTeTqKrp3n0zfnjxBTz91BPVau647WaO/urxXHjpj9Y6/VTS+jNr5nQANu9d++navXr3zo2dUfzugy8+/yzPP/s0lZWVzP1oDm++/iorVnzCoUd8ma8cd2LpJy21IQP65372ZsxeyNXfP5rvnTq02v7/GvZFHh35Gmdc9nuWLl/RoOMd9pmBVFZW8ugzrzVqHk2pk2rjwvSlU9YNYUS8COybUirrz6HqFi1cCMCkiRMYP+4NTjz5VI494SQ27dqVsa+8zPVX/5RRz4zg+qt+yuU/vbpazT+ee4YEDP/29zjsiKPYYINOvPCP5/jF9Vfz8IP3032zzTh7+Hda6qNJmbNs6VIAOnXuXOuYqj/sLM2Prenddybx1F8frfbaMSecwqlnDXfZCake3TfN/XwN2rkP++62Db+8ZyS3/+k55i1Ywmf27s9Nlx7Pl4YM4qb/OoGzL7+7zmNt2Lkjd111Oh06tOOuR17gjUnTGzSHptZJah5t4RpC/z7QxlSm3I0lVq1axWFHHMX3LryEPlv3ZeONN+HgQ4Zw3c9/SUTwxOOPMm3qlHxNWlNz6ulncdqZw9i89xZ07daNw4/6Mpde/hMA7rv7LpYuXdIyH0xSk5xyxjCefvF1nnjuFe66/zHO+Oa3eeKxh/jm149j8vvvtvT0pFYt8jFKxw7tue8v/+aiGx/i/WkfsXDxMh4f9QbHn/9rKisrOemIfdm2T49aj9O+fQX3Xn8mA3fYklcnTuWCax9o0Ps3tU6qTzTjV1vXFhpCtTFdunx66+svH33cWvt3GTCQnXcZQEqJsa+Mztd8ug7Zl485dq2aIZ/7Al27dmPZsmWMH/fGepi1pGI65382ly9bVuuYZctyyWDhz3ExHTp0oM/W/Tj59GH84Ic/5cNZM7j2J5eRUqqzTsqyxUs/WfP4zof/udb+MeOnMHbCVCoqKvjPvYuv09uuXQV3X/MNDj1oABPem8mXzrm1QaeXNrVOUvNqFadaRsQxTSztXs9xhwHDAH7+y9s5/RtnN/Ft1Jy23KpPweOtahmzFRPGj2Pu3I+q1bRr357Ne29R63EXLJi/pkbS+rd5fqmXD2fNqHXMnA8/zI8t/vNezH8e8jm6bLgRkyaOZ9bM6WyxZZ/6i6QM+mD63DWPJxc8rjlm7wH92HyztZd5qagI7rryNL4ydA/emTKbI751C3PmL673fZtaJzVYFqK7ZtIqGkLgAaApf+KNuupSSncAdwDMX7raPyGXiR133mXN44ULFxRt8BYsyC1KX3Xt0U477wrA6lWrWLz4YzYusnbZggXzq9VIWv/675j7eZ78/rt8snx50TuNvjVhXH5sw+8EHBFssummLF2ymAXz59kQSrV4beLUNY+7b7oh0z5csNaYzbrmzsxZsuyTaq9XVAS/u/I0jj10b96f9hFfHHYzM+csrPc9m1onqWW0llNGq5q15xr59XGzz1TrXa9emzNgt90BGP3S2otOL1q0kLcmjAdgl10HAjBw90H06NGz1pqpUyYza+aMajWS1r9em/dmh512YeXKlYwa+dRa+18b8zJzZn9I9816sOtugxp83BnTp/HhzBlUVFTYDEp1mDFnIf9+/X0APrv/Tmvt77pxZ/bYZWsgd/polYjgtz89leMP24fJM+Zy2LCbijaTNTW1Tmos1yEsndbSEE7Kb7+RUvpsQ7+A8S05aa0/p5/5TQB+f+cdTHhz3JrXP/nkE6678icsXvwxO+8ygN0G5dYsq6io4NT8KcG33nQjU6dMXlOzaNFCrv7pj6msrOSQIZ+nZ69ezfhJJH3t1DMB+M1t/8P0qZ/+h3P+vLncfMOVAJz49W9QUfHpr6TJ77/LiCcfZ8Un1RMLgPfffZuf/fBCUkocNHgIXbvVefWAlHnX/vZJAH7wjUPZa9e+a17foGN7br7sRLpu3IVXxk/hX6/lGseI4I7/PoUTD9+XKTPncejZNzNl5vx636epdZJaVrSGi/Ej4m7gJOD4lNKDjah7EdgvpVTvwnKeMlp+qtYgbN++PQN3G8SmXbsyftwbzJkzm569NufWO35H337brBlfWVnJjy69kBFP/Y1OnTozcPdBbNCpE+Nef5WFCxaw7Xbbc/tv/kDXbt1a7kOpURYvX9XSU1ANb781npuuv3LN8ynvv8fSpUvYaut+bLzJp6dq3/Kbe6vV3XT9z3jsofvp2HED9tp3f9q378CYl19i6ZLFHHTwEC6/6sZqa4S+OmY0F557Jp06d2aHnXahR89erFyxklkzp/Pu22+RUmLnXQdy5c9vY9NNu67/D64G23HoBS09BRVRtQbhipWr+PcbHzBvwRL2GdiPLXt1ZfqH8zl02M28O2UOAOd8bTA3XpS7qduo0ZOYMnNe0WO+8Oq73PXwi2ueN7VOLW/Z2FvKLgZ7a9bSZvu//U69u5Td96cxWss1hKOBk4F9gQY3hHg5aZt23vkXsdugPXngT/cxaeIEli9fxua9t+Brp5zGqWecTbfu1VOBiooKfnbNjex/wEE8+vADjH/zDVavWkWfrfty3Iknc9LXT692B1NJjbdkyRImvrn2nXqnT51cZPSnvvuDHzJw9z159ME/8frYV6isXM3W/bblsCOP5qhjjq+WDgJss+32nPHNb/PGq2OYOvkD3p44ntWrV7PJpt3Y98DPcMiQLzD0sCOrNZGSanfpLx7mX6+9x7dOOJhBO29Nl04dmDprPjfdPYIbfvd3Piq44Uu3TT79XTl43x3rPG5hY9fUOkktq7UkhDsCw4E3Ukp3NqJuT2CTlNKo+saaEErlx4RQKj8mhFL5KceEcFIzJoQ7mhCufymlScD3m1A3dj1MR5IkSZIyoVU0hJIkSZLUYG06s2tereUuo5IkSZKkZmZDKEmSJEkZ5SmjkiRJkspKFhaMby4mhJIkSZKUUSaEkiRJkspKGBCWjAmhJEmSJGWUCaEkSZKksmJAWDomhJIkSZKUUSaEkiRJksqLEWHJmBBKkiRJUkaZEEqSJEkqK65DWDomhJIkSZKUUSaEkiRJksqK6xCWjgmhJEmSJGWUCaEkSZKksmJAWDomhJIkSZKUUSaEkiRJksqLEWHJmBBKkiRJUkbZEEqSJElSRtkQSpIkSSor0Yz/GjyniJ0i4rsRcU9ETIyIyohIEXFsA2pPiojnI2JhRCyOiJcj4tyIqLNfi4jDIuKpiJgXEUsjYlxEXBYRGzR03l5DKEmSJEnrbjjw3cYWRcStwDnAcmAEsBIYCtwCDI2IY1NKlUXqLgKuBVYDzwLzgcHAz4AjI2JoSmlpfe9vQihJkiSprEQ031cjjAOuB04A+gOj6v8c8VVyzeAsYPeU0pEppaOBHYAJwNHAd4rU7QNcAywFDkopfS6ldBywHfAccABwZUMmbUMoSZIkSesopfSblNJFKaX7U0rvNrDs0vz24pTS2wXH+pBc4ghwSZFTRy8hd6/Va1NKLxXULQbOACqBcyKia30TsCGUJEmSVFaiGb/W22eI6APsDawA/lxzf0ppFDAd6E0u8auq6wh8Mf/03iJ17wEvAh2Bw+ubhw2hJEmSJDW/PfPbN1NKy2oZM7rGWICdgC7AvDqSyGJ1RXlTGUmSJEllpZHX9rVW2+a3k+sYM6XG2MLHU6hdsbqiTAglSZIkqfltlN8uqWPM4vx24xLUFWVDKEmSJKnMNN9VhBExLL8uYNXXsOb6lM3BU0YlSZIkqRYppTuAO9bDoatSvA3rGFOVBn5cgrqibAglSZIklZU2cg3hB/ltvzrGbF1jbOHjvo2sK8pTRiVJkiSp+Y3NbwdEROdaxuxbYyzARGAZ0D0itq+lbr8idUXZEEqSJEkqK21hHcKU0lRgDLn1Ao+ruT8iBgN9gFnk1hWsqlsBPJF/enKRuu2AA8mtb/h4ffOwIZQkSZKklnF1fnttRPSvejEiegG35Z9ek1KqrFF3DZCAiyNiv4K6jYA7yfV5t6WUFtQ3Aa8hlCRJklRWWuM1hBGxF582cQC75rdXRcSFVS+mlA4oePxARNwODAfeiIingZXAUGAT4BHglprvlVIaHRGXANcCL0TESGABMBjoBbwEXNaQedsQSpIkSdK62wTYv8jrO9RVlFI6JyL+AZxLrqFrR+46wTuB24ukg1V110XE68AF5K417AS8B9wM3JBS+qQhk7YhlCRJkqR1lFJ6liZedphSug+4rwl1fwP+1pT3rGJDKEmSJKmsxHq93Uu2eFMZSZIkScooE0JJkiRJ5cWAsGRMCCVJkiQpo0wIJUmSJJUVA8LSMSGUJEmSpIwyIZQkSZJUVlrjwvTlyoRQkiRJkjLKhFCSJElSWXEdwtIxIZQkSZKkjDIhlCRJklReDAhLxoRQkiRJkjLKhFCSJElSWTEgLB0TQkmSJEnKKBNCSZIkSWXFdQhLx4RQkiRJkjLKhlCSJEmSMspTRiVJkiSVFRemLx0TQkmSJEnKKBNCSZIkSWXFm8qUjgmhJEmSJGWUDaEkSZIkZZQNoSRJkiRllNcQSpIkSSorXkNYOiaEkiRJkpRRJoSSJEmSyorrEJaOCaEkSZIkZZQJoSRJkqSy4jWEpWNCKEmSJEkZZUIoSZIkqawYEJaOCaEkSZIkZZQJoSRJkqTyYkRYMiaEkiRJkpRRNoSSJEmSlFGeMipJkiSprLgwfemYEEqSJElSRpkQSpIkSSorLkxfOiaEkiRJkpRRJoSSJEmSyooBYemYEEqSJElSRpkQSpIkSSovRoQlY0IoSZIkSRllQihJkiSprLgOYemYEEqSJElSRpkQSpIkSSorrkNYOiaEkiRJkpRRkVJq6TlI6yQihqWU7mjpeUhqOH9upfLjz63UNpkQqi0Y1tITkNRo/txK5cefW6kNsiGUJEmSpIyyIZQkSZKkjLIhVFvg9QxS+fHnVio//txKbZA3lZEkSZKkjDIhlCRJkqSMsiFU2YqInSLiuxFxT0RMjIjKiEgRcWxLz01ScRFxUkQ8HxELI2JxRLwcEedGhL+PpFbG37NSNrRv6QlI62A48N2WnoSkhomIW4FzgOXACGAlMBS4BRgaEcemlCpbcIqSqvP3rJQB/kVW5WwccD1wAtAfGNWy05FUm4j4KrlmcBawe0rpyJTS0cAOwATgaOA7LThFSWvz96yUASaEKlsppd8UPo+IlpqKpPpdmt9enFJ6u+rFlNKHETEceBa4JCJ+aUootQ7+npWywYRQkrReRUQfYG9gBfDnmvtTSqOA6UBv4IDmnZ0kSdlmQyhJWt/2zG/fTCktq2XM6BpjJUlSM7AhlCStb9vmt5PrGDOlxlhJktQMbAglSevbRvntkjrGLM5vN17Pc5EkSQVsCCVJkiQpo7zLqFqtiLgB6FHj5Y9SShe2xHwkNVlV+rdhHWOqUsSP1/NcJElSARtCtWbHAv1qvDYZsCGUyssH+W3Nn+dCW9cYK0mSmoENoVqtlNI2LT0HSSUxNr8dEBGda7nT6L41xkqSpGbgNYSSpPUqpTQVGAN0BI6ruT8iBgN9gFnAi807O0mSss2GUJLUHK7Ob6+NiP5VL0ZEL+C2/NNrUkqVzT4zSZIyLFJKLT0HqUkiYi8+/Y8kwK7kbln/NjCv6sWU0gHNPDVJRUTEbcBwYDnwNLASGApsAjwCHJtSWt1yM5RUyN+zUjbYEKpsRcQhwDP1jUspxfqfjaSGiIiTgHOB3YB2wETgTuB200GpdfH3rJQNNoSSJEmSlFFeQyhJkiRJGWVDKEmSJEkZZUMoSZIkSRllQyhJkiRJGWVDKEmSJEkZZUMoSZIkSRllQyhJkiRJGWVDKEllJiI+iIhU42t5RLwfEX+IiD1aeo4AVXMr8nrV/Ldp/lmtu4i4Ij//K1p6LpIkrSsbQkkqX08Cv89/PQV0Ar4OjI6IE1tyYs3BxkySpHXXvqUnIElqsmtSSs9WPYmIzsCvgZOB/42Ip1JK81pqcnUYCnQAprf0RCRJyjoTQklqI1JKy4DhwBJgE+DQlp1RcSmld1NKE1NKK1t6LpIkZZ0NoSS1ISmlj4FJ+af9ImKb/GmVH0RE+4i4MCJei4glEbGgsDYi9o+IP0bEtIhYERFzIuLRiPhMbe8XEbtFxMMRMS9/zDERcVZdc6zrGsLIOT4inoiI2fl5TI+IERHxnYJxCfhx/umPa1xPeUWNY24YERdFxOiIWBQRyyLizfwppxvVMscO+e/V+Pz1mbMi4u6I6FfXZ5Mkqdx4yqgktT2b5LefFLwWwIPAYcBzwHig75qdERcA1+efjgFeBPoARwBHRMS3Ukq/LnyTiBgMPAF0Bt4CxgJbkDtdddfGTjoiOgJ/Br4ErAb+BUwBNgcGAkOAX+aH/x7YAxgEvAa8WnCoNY8jog+5ay13BebkP9dyYF9yDeXREXFISml+QU0F8BBwZH7sSOBjcqe6fhF4vLGfTZKk1sqGUJLakPwdRrfNPy1skqqavwEppXdq1HwRuAGYARyTUnqpYN9BwF+BWyNiVEppUv71zsC95JrBq4HLUkopv29wvqaxriPXDE4CvpxSmlgwj3bkmlMAUkqn55PAQcAjKaUrah4sIgK4n1wzeAtwUf602qr53wGcAvwCOL2g9FxyzeB04JCq71dEdALuAU5twmeTJKlV8pRRSWoDIqJbRHyJXLJVQa4ZHFVj2KU1m8G8K/LbswqbQYCU0j+Bn5K7Ccw3C3YdC2wFvAv8qKoZzNeMAn7VyPn3Inf9YyW5pnRi4f6U0uqU0qONOSa5NPRAcknjd6uawfzxlgHfAmYDJ0dEt4K67+W3Pyz8fqWUlgPnAMuQJKmNsCGUpPL1TMFaf/OA/yOXDo4BvpJSqqwx/uGaB4iIHsB+wCJyS1cUU9VYHljw2uD89o8ppdVFau5u2EdYYwjQEXgxpfRmI2trc3h++2CR7wUppSXAy+TOltkX1pxiuh25xvS+IjWzqf37JElS2fGUUUkqX08Cs/KPPyF3yufzwDOFiV3e7MKErEDV6aWbAKtyZ1nWqmfB4z757fu1jP2grgMVUXWzlol1jmqc7fLb6yPi+jpHfvrZqj7XjJTSilrGfrCuE5MkqbWwIZSk8lVtHcJ61HaaY7v8diHwSD3H+KiB79UUNRvYUqj6bKOov4mbvB7eX5KkVs+GUJKybWp+uzKldHoj6qoWld+mlv21vV6bKfntTo2sq0vVZ/tzSunWBtZUfa4tI6JjLSnhNus8M0mSWgmvIZSkDEspTQfeAHpExCGNKK26rvDE/B1Aazq5kVMZCawE/iMidmlgTVWzVtsfN5/Ib49r6CRSSlPJnQZbAZxYc39E9AQ+39DjSZLU2tkQSpJ+lN/eExFfqLkzItpFxJCIOKDg5QeAmUB/4IoouPgwv5D98MZMIH+zll+R+730YETsWGQOR9Uoq0rzamsgHwFeAQZHxK8ionvNARHROyLOrvHyzfntzyJiu4KxGwC3Al0a8pkkSSoHsfZ9ByRJrVlEfEDuJiyfre8awojYhlziNTmltE0d484ntw5gO3LrAL4FLAZ6A3sCXYHhKaVfFdQMIbdIeydyN4OpWpj+YOAm4PsAKaVqd6opmP+2KaUPCl7fgNyyGYcDq8gtIj8N6AXsBvQqPFZE9Ca37EUXcjfTeZfcgvaPVi1Rkb9r6F/z9R+TW8R+an7OO5Jbo3B2Sql3wXHbAY+RW4S+amH6xcBn8nV/IbcW4X8XW/9QkqRyYkIoSSKl9HNgb+C35JrCzwNHkbvr5nPA2eQWeS+sGQkcADxKrnH8CtANODeldH4T5vBJ/j2/nn/PgeTWO9wZeJ3cgvGF42eRW0D+WWB34DTgTGCvgjHTyC2r8W1yDeuA/DEPJNfs3QgcU+O4q4EvA5eQuxnN54DP5ue0D7XfWVWSpLJjQihJkiRJGWVCKEmSJEkZZUMoSZIkSRllQyhJkiRJGWVDKEmSJEkZZUMoSZIkSRllQyhJkiRJGWVDKEmSJEkZZUMoSZIkSRllQyhJkiRJGWVDKEmSJEkZ9f8BXpg7AdSNvYkAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 1152x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 207
        },
        "id": "_-XQKA59MAGd",
        "outputId": "65fee0b3-76ba-4e44-8b23-ead75005db44"
      },
      "source": [
        "print('Classification report: \\n')\n",
        "pd.DataFrame(NB_classification_report_test)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Classification report: \n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>-1</th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>macro avg</th>\n",
              "      <th>weighted avg</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>precision</th>\n",
              "      <td>0.548523</td>\n",
              "      <td>0.233831</td>\n",
              "      <td>0.816273</td>\n",
              "      <td>0.665833</td>\n",
              "      <td>0.532876</td>\n",
              "      <td>0.679122</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>recall</th>\n",
              "      <td>0.555556</td>\n",
              "      <td>0.268571</td>\n",
              "      <td>0.786346</td>\n",
              "      <td>0.665833</td>\n",
              "      <td>0.536824</td>\n",
              "      <td>0.665833</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>f1-score</th>\n",
              "      <td>0.552017</td>\n",
              "      <td>0.250000</td>\n",
              "      <td>0.801030</td>\n",
              "      <td>0.665833</td>\n",
              "      <td>0.534349</td>\n",
              "      <td>0.672114</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>support</th>\n",
              "      <td>234.000000</td>\n",
              "      <td>175.000000</td>\n",
              "      <td>791.000000</td>\n",
              "      <td>0.665833</td>\n",
              "      <td>1200.000000</td>\n",
              "      <td>1200.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                   -1           0  ...    macro avg  weighted avg\n",
              "precision    0.548523    0.233831  ...     0.532876      0.679122\n",
              "recall       0.555556    0.268571  ...     0.536824      0.665833\n",
              "f1-score     0.552017    0.250000  ...     0.534349      0.672114\n",
              "support    234.000000  175.000000  ...  1200.000000   1200.000000\n",
              "\n",
              "[4 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 61
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vQ99JEzjwK1g"
      },
      "source": [
        "***MULTINOMIAL NAIVE BAYES***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mxS3NZ4qX4YW"
      },
      "source": [
        "from sklearn.naive_bayes import MultinomialNB\n",
        "\n",
        "clf = MultinomialNB()\n",
        "clf.fit(X_train, y_train)\n",
        "MNB_predictions_train = clf.predict(X_train)\n",
        "MNB_predictions_test = clf.predict(X_test)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LerjnzMCX8az"
      },
      "source": [
        "MNB_confusion_matrix_train, MNB_classification_report_train = generate_prediction_results(y_train, MNB_predictions_train)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "si77rzUvP2eF"
      },
      "source": [
        "***CONFUSION MATRIX FOR TRAIN DATASET***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 652
        },
        "id": "gwmXhmptYA0Q",
        "outputId": "382648ac-e0c0-49be-a046-2b906c3d3521"
      },
      "source": [
        "labels = [-1, 0, 1]\n",
        "pretty_print_cm(MNB_confusion_matrix_train, labels)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "id": "wwE0bDsTYF7P",
        "outputId": "78f77ec8-ca98-4f48-fe73-2ac004f6492a"
      },
      "source": [
        "pd.DataFrame(MNB_classification_report_train)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>-1</th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>macro avg</th>\n",
              "      <th>weighted avg</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>precision</th>\n",
              "      <td>0.856700</td>\n",
              "      <td>0.805318</td>\n",
              "      <td>0.854740</td>\n",
              "      <td>0.838928</td>\n",
              "      <td>0.838919</td>\n",
              "      <td>0.838919</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>recall</th>\n",
              "      <td>0.874604</td>\n",
              "      <td>0.805573</td>\n",
              "      <td>0.836605</td>\n",
              "      <td>0.838928</td>\n",
              "      <td>0.838928</td>\n",
              "      <td>0.838928</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>f1-score</th>\n",
              "      <td>0.865559</td>\n",
              "      <td>0.805446</td>\n",
              "      <td>0.845575</td>\n",
              "      <td>0.838928</td>\n",
              "      <td>0.838860</td>\n",
              "      <td>0.838860</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>support</th>\n",
              "      <td>3158.000000</td>\n",
              "      <td>3158.000000</td>\n",
              "      <td>3158.000000</td>\n",
              "      <td>0.838928</td>\n",
              "      <td>9474.000000</td>\n",
              "      <td>9474.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                    -1            0  ...    macro avg  weighted avg\n",
              "precision     0.856700     0.805318  ...     0.838919      0.838919\n",
              "recall        0.874604     0.805573  ...     0.838928      0.838928\n",
              "f1-score      0.865559     0.805446  ...     0.838860      0.838860\n",
              "support    3158.000000  3158.000000  ...  9474.000000   9474.000000\n",
              "\n",
              "[4 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 65
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c6y9RHsiYIAh"
      },
      "source": [
        "MNB_confusion_matrix_test, MNB_classification_report_test = generate_prediction_results(y_test, MNB_predictions_test)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cs25h79iPw3O"
      },
      "source": [
        "***CONFUSION MATRIX ON TEST-SET***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 652
        },
        "id": "FDZLeD8EYKtC",
        "outputId": "164815af-ee51-4ec2-ddee-bbcc8687d3fa"
      },
      "source": [
        "# Confusion matrix\n",
        "labels = [-1, 0, 1]\n",
        "pretty_print_cm(MNB_confusion_matrix_test, labels)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "id": "by8kawQ0YOUL",
        "outputId": "97373063-d93b-4ac3-e04f-09140e1ad4c4"
      },
      "source": [
        "pd.DataFrame(MNB_classification_report_test)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>-1</th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>macro avg</th>\n",
              "      <th>weighted avg</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>precision</th>\n",
              "      <td>0.617100</td>\n",
              "      <td>0.309322</td>\n",
              "      <td>0.909353</td>\n",
              "      <td>0.725833</td>\n",
              "      <td>0.611925</td>\n",
              "      <td>0.764859</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>recall</th>\n",
              "      <td>0.709402</td>\n",
              "      <td>0.417143</td>\n",
              "      <td>0.798989</td>\n",
              "      <td>0.725833</td>\n",
              "      <td>0.641844</td>\n",
              "      <td>0.725833</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>f1-score</th>\n",
              "      <td>0.660040</td>\n",
              "      <td>0.355231</td>\n",
              "      <td>0.850606</td>\n",
              "      <td>0.725833</td>\n",
              "      <td>0.621959</td>\n",
              "      <td>0.741203</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>support</th>\n",
              "      <td>234.000000</td>\n",
              "      <td>175.000000</td>\n",
              "      <td>791.000000</td>\n",
              "      <td>0.725833</td>\n",
              "      <td>1200.000000</td>\n",
              "      <td>1200.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                   -1           0  ...    macro avg  weighted avg\n",
              "precision    0.617100    0.309322  ...     0.611925      0.764859\n",
              "recall       0.709402    0.417143  ...     0.641844      0.725833\n",
              "f1-score     0.660040    0.355231  ...     0.621959      0.741203\n",
              "support    234.000000  175.000000  ...  1200.000000   1200.000000\n",
              "\n",
              "[4 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 68
        }
      ]
    }
  ]
}