Lecture_6_Recommendation_System.ipynb

{
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  "metadata": {
    "colab": {
      "name": "Lecture_6_Recommendation System.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/ashishpatel26/Ganpat-University-Data-Science/blob/main/Lecture_6_Recommendation_System.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BYVP4tmUveo8"
      },
      "source": [
        "### 1.Install Package(Surprise - Recommendation Framework)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-2-8TaVM5deQ",
        "outputId": "b994d0a5-3d24-4b48-9343-529bd5fef7cc"
      },
      "source": [
        "!pip install surprise"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting surprise\n",
            "  Downloading https://files.pythonhosted.org/packages/61/de/e5cba8682201fcf9c3719a6fdda95693468ed061945493dea2dd37c5618b/surprise-0.1-py2.py3-none-any.whl\n",
            "Collecting scikit-surprise\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/97/37/5d334adaf5ddd65da99fc65f6507e0e4599d092ba048f4302fe8775619e8/scikit-surprise-1.1.1.tar.gz (11.8MB)\n",
            "\u001b[K     |████████████████████████████████| 11.8MB 330kB/s \n",
            "\u001b[?25hRequirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.7/dist-packages (from scikit-surprise->surprise) (1.0.1)\n",
            "Requirement already satisfied: numpy>=1.11.2 in /usr/local/lib/python3.7/dist-packages (from scikit-surprise->surprise) (1.19.5)\n",
            "Requirement already satisfied: scipy>=1.0.0 in /usr/local/lib/python3.7/dist-packages (from scikit-surprise->surprise) (1.4.1)\n",
            "Requirement already satisfied: six>=1.10.0 in /usr/local/lib/python3.7/dist-packages (from scikit-surprise->surprise) (1.15.0)\n",
            "Building wheels for collected packages: scikit-surprise\n",
            "  Building wheel for scikit-surprise (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for scikit-surprise: filename=scikit_surprise-1.1.1-cp37-cp37m-linux_x86_64.whl size=1617548 sha256=cf1bd822412b16d4d0e6c41bebed322dc5f49cbac16e4934060ca7af83785bfa\n",
            "  Stored in directory: /root/.cache/pip/wheels/78/9c/3d/41b419c9d2aff5b6e2b4c0fc8d25c538202834058f9ed110d0\n",
            "Successfully built scikit-surprise\n",
            "Installing collected packages: scikit-surprise, surprise\n",
            "Successfully installed scikit-surprise-1.1.1 surprise-0.1\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-9WtntPavvtJ"
      },
      "source": [
        "### 2.Import Libraries"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c4J-8ZwW5YrR"
      },
      "source": [
        "# Imports\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "\n",
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "from sklearn.metrics.pairwise import cosine_similarity, linear_kernel\n",
        "\n",
        "from surprise import SVD,Reader,Dataset\n",
        "from surprise.model_selection import cross_validate, KFold\n",
        "\n",
        "import requests\n",
        "from PIL import Image\n",
        "from io import BytesIO\n",
        "import gc\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")"
      ],
      "execution_count": 90,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-_EZ5F8Jv11e"
      },
      "source": [
        "### 3.Load Dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "80GHwHB35W8s"
      },
      "source": [
        "books = pd.read_csv('https://raw.githubusercontent.com/ashishpatel26/Ganpat-University-Data-Science/main/data/books.csv')\n",
        "ratings = pd.read_csv('https://raw.githubusercontent.com/ashishpatel26/Ganpat-University-Data-Science/main/data/ratings.csv')\n",
        "tags = pd.read_csv('https://raw.githubusercontent.com/ashishpatel26/Ganpat-University-Data-Science/main/data/tags.csv')\n",
        "book_tags = pd.read_csv('https://raw.githubusercontent.com/ashishpatel26/Ganpat-University-Data-Science/main/data/book_tags.csv')"
      ],
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jg4NbM9rv4yt"
      },
      "source": [
        "### 4.Sanity Check of dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lv5ype8y32xg",
        "outputId": "b75792c5-29e6-4c46-d891-4ae284e48a0b"
      },
      "source": [
        "# Checking the shapes of the datasets\n",
        "print(f\"The books dataset has: {books.shape[0]} entries.\")\n",
        "print(f\"The ratings dataset has: {ratings.shape[0]} entries.\")\n",
        "print(f\"The tags dataset has: {tags.shape[0]} entries.\")\n",
        "print(f\"The book_tags dataset has: {book_tags.shape[0]} entries.\")"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "The books dataset has: 10000 entries.\n",
            "The ratings dataset has: 981756 entries.\n",
            "The tags dataset has: 34252 entries.\n",
            "The book_tags dataset has: 999912 entries.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9uUxnv-vww6p"
      },
      "source": [
        "###  5.Checking the Missing Values"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IYKq3PmN55uF",
        "outputId": "f9168a15-2802-43fc-9d6b-d3a1f0e5adac"
      },
      "source": [
        "# Check for missing Values\n",
        "print(\"Is there NaN values? \\n On books dataset:\",  books.isnull().values.any(),\n",
        "      \"\\n On ratings dataset:\", ratings.isnull().values.any(),\n",
        "      \"\\n On tags dataset:\", tags.isnull().values.any(),\n",
        "      \"\\n On book_tags dataset:\", book_tags.isnull().values.any())"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Is there NaN values? \n",
            " On books dataset: True \n",
            " On ratings dataset: False \n",
            " On tags dataset: False \n",
            " On book_tags dataset: False\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zn7bX37a6BHB",
        "outputId": "88dbb8e8-0217-49e8-a89f-d604c52bbbf7"
      },
      "source": [
        "null_counts = books.isnull().sum()\n",
        "null_counts[null_counts>0]"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "isbn                          700\n",
              "isbn13                        585\n",
              "original_publication_year      21\n",
              "original_title                585\n",
              "language_code                1084\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-_PBSsRG6CNw",
        "outputId": "c67fe7ad-0924-4430-e30d-5d1088599e91"
      },
      "source": [
        "print(\"Oldest book: \", books['original_publication_year'].min())\n",
        "print(\"Newer book: \", books['original_publication_year'].max())"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Oldest book:  -1750.0\n",
            "Newer book:  2017.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "J78G8N3Rx6gO"
      },
      "source": [
        "### 6.Delete NaN values of original_publication_year"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zSxqyTM66E9I",
        "outputId": "6112b63f-4cc5-4a1d-cebf-f6b4e373d3d4"
      },
      "source": [
        "# Delete NaN values of original_publication_year\n",
        "for x in [\"original_publication_year\"]:\n",
        "    books = books[books[x].notnull()]\n",
        "\n",
        "# Delete negative values\n",
        "books = books[(books['original_publication_year'] >= 0)]\n",
        "print(\"Now we have\", books.shape[0], \"entrances.\")"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Now we have 9948 entrances.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wPg1EJ9Mx_0y"
      },
      "source": [
        "### 7. Dropping the unessesary columnn"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 374
        },
        "id": "iokBMYj56JhK",
        "outputId": "78f396d7-74a5-46e1-df6b-f249b03d9b3f"
      },
      "source": [
        "# Print the head of the books dataset.\n",
        "pd.set_option('display.max_columns', None)\n",
        "books.head(3)"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "\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>book_id</th>\n",
              "      <th>goodreads_book_id</th>\n",
              "      <th>best_book_id</th>\n",
              "      <th>work_id</th>\n",
              "      <th>books_count</th>\n",
              "      <th>isbn</th>\n",
              "      <th>isbn13</th>\n",
              "      <th>authors</th>\n",
              "      <th>original_publication_year</th>\n",
              "      <th>original_title</th>\n",
              "      <th>title</th>\n",
              "      <th>language_code</th>\n",
              "      <th>average_rating</th>\n",
              "      <th>ratings_count</th>\n",
              "      <th>work_ratings_count</th>\n",
              "      <th>work_text_reviews_count</th>\n",
              "      <th>ratings_1</th>\n",
              "      <th>ratings_2</th>\n",
              "      <th>ratings_3</th>\n",
              "      <th>ratings_4</th>\n",
              "      <th>ratings_5</th>\n",
              "      <th>image_url</th>\n",
              "      <th>small_image_url</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>2767052</td>\n",
              "      <td>2767052</td>\n",
              "      <td>2792775</td>\n",
              "      <td>272</td>\n",
              "      <td>439023483</td>\n",
              "      <td>9.780439e+12</td>\n",
              "      <td>Suzanne Collins</td>\n",
              "      <td>2008.0</td>\n",
              "      <td>The Hunger Games</td>\n",
              "      <td>The Hunger Games (The Hunger Games, #1)</td>\n",
              "      <td>eng</td>\n",
              "      <td>4.34</td>\n",
              "      <td>4780653</td>\n",
              "      <td>4942365</td>\n",
              "      <td>155254</td>\n",
              "      <td>66715</td>\n",
              "      <td>127936</td>\n",
              "      <td>560092</td>\n",
              "      <td>1481305</td>\n",
              "      <td>2706317</td>\n",
              "      <td>https://images.gr-assets.com/books/1447303603m...</td>\n",
              "      <td>https://images.gr-assets.com/books/1447303603s...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>4640799</td>\n",
              "      <td>491</td>\n",
              "      <td>439554934</td>\n",
              "      <td>9.780440e+12</td>\n",
              "      <td>J.K. Rowling, Mary GrandPré</td>\n",
              "      <td>1997.0</td>\n",
              "      <td>Harry Potter and the Philosopher's Stone</td>\n",
              "      <td>Harry Potter and the Sorcerer's Stone (Harry P...</td>\n",
              "      <td>eng</td>\n",
              "      <td>4.44</td>\n",
              "      <td>4602479</td>\n",
              "      <td>4800065</td>\n",
              "      <td>75867</td>\n",
              "      <td>75504</td>\n",
              "      <td>101676</td>\n",
              "      <td>455024</td>\n",
              "      <td>1156318</td>\n",
              "      <td>3011543</td>\n",
              "      <td>https://images.gr-assets.com/books/1474154022m...</td>\n",
              "      <td>https://images.gr-assets.com/books/1474154022s...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>41865</td>\n",
              "      <td>41865</td>\n",
              "      <td>3212258</td>\n",
              "      <td>226</td>\n",
              "      <td>316015849</td>\n",
              "      <td>9.780316e+12</td>\n",
              "      <td>Stephenie Meyer</td>\n",
              "      <td>2005.0</td>\n",
              "      <td>Twilight</td>\n",
              "      <td>Twilight (Twilight, #1)</td>\n",
              "      <td>en-US</td>\n",
              "      <td>3.57</td>\n",
              "      <td>3866839</td>\n",
              "      <td>3916824</td>\n",
              "      <td>95009</td>\n",
              "      <td>456191</td>\n",
              "      <td>436802</td>\n",
              "      <td>793319</td>\n",
              "      <td>875073</td>\n",
              "      <td>1355439</td>\n",
              "      <td>https://images.gr-assets.com/books/1361039443m...</td>\n",
              "      <td>https://images.gr-assets.com/books/1361039443s...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   book_id  goodreads_book_id  best_book_id  work_id  books_count       isbn  \\\n",
              "0        1            2767052       2767052  2792775          272  439023483   \n",
              "1        2                  3             3  4640799          491  439554934   \n",
              "2        3              41865         41865  3212258          226  316015849   \n",
              "\n",
              "         isbn13                      authors  original_publication_year  \\\n",
              "0  9.780439e+12              Suzanne Collins                     2008.0   \n",
              "1  9.780440e+12  J.K. Rowling, Mary GrandPré                     1997.0   \n",
              "2  9.780316e+12              Stephenie Meyer                     2005.0   \n",
              "\n",
              "                             original_title  \\\n",
              "0                          The Hunger Games   \n",
              "1  Harry Potter and the Philosopher's Stone   \n",
              "2                                  Twilight   \n",
              "\n",
              "                                               title language_code  \\\n",
              "0            The Hunger Games (The Hunger Games, #1)           eng   \n",
              "1  Harry Potter and the Sorcerer's Stone (Harry P...           eng   \n",
              "2                            Twilight (Twilight, #1)         en-US   \n",
              "\n",
              "   average_rating  ratings_count  work_ratings_count  work_text_reviews_count  \\\n",
              "0            4.34        4780653             4942365                   155254   \n",
              "1            4.44        4602479             4800065                    75867   \n",
              "2            3.57        3866839             3916824                    95009   \n",
              "\n",
              "   ratings_1  ratings_2  ratings_3  ratings_4  ratings_5  \\\n",
              "0      66715     127936     560092    1481305    2706317   \n",
              "1      75504     101676     455024    1156318    3011543   \n",
              "2     456191     436802     793319     875073    1355439   \n",
              "\n",
              "                                           image_url  \\\n",
              "0  https://images.gr-assets.com/books/1447303603m...   \n",
              "1  https://images.gr-assets.com/books/1474154022m...   \n",
              "2  https://images.gr-assets.com/books/1361039443m...   \n",
              "\n",
              "                                     small_image_url  \n",
              "0  https://images.gr-assets.com/books/1447303603s...  \n",
              "1  https://images.gr-assets.com/books/1474154022s...  \n",
              "2  https://images.gr-assets.com/books/1361039443s...  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DBO8HYnd6Ks6"
      },
      "source": [
        "# Drop the columns that we don't need.\n",
        "books.drop(['best_book_id','work_id','work_ratings_count','ratings_1', 'ratings_2','ratings_3','ratings_4','ratings_5','small_image_url','isbn','isbn13'], axis=1,inplace=True)"
      ],
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 137
        },
        "id": "1zxO_JYu6N8e",
        "outputId": "4000353c-6b08-41f1-e3ee-4756fd9e3dcf"
      },
      "source": [
        "# Print head of the ratings dataset\n",
        "ratings.head(3)"
      ],
      "execution_count": 25,
      "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>book_id</th>\n",
              "      <th>user_id</th>\n",
              "      <th>rating</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>314</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>439</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>588</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   book_id  user_id  rating\n",
              "0        1      314       5\n",
              "1        1      439       3\n",
              "2        1      588       5"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LOf8YHG2yLzY"
      },
      "source": [
        "### 8.Checking the Unique Count of Ratings"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UPdC0H7d6RK-",
        "outputId": "24fb8ecb-3b61-4016-a00e-bb6eaccb3ec0"
      },
      "source": [
        "print(\"The ratings can be:\", ratings.rating.unique())"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "The ratings can be: [5 3 4 1 2]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "k9DtpAETyTYg"
      },
      "source": [
        "### 9.Grouping by the book_id to know how many ratings have each book and by user"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e9ho0meB6Tr3",
        "outputId": "fdcf785c-4efc-4216-dbb1-b4ffb33c6a24"
      },
      "source": [
        "rating_book = ratings.groupby('book_id').book_id.apply(lambda x: len(x)).sort_values()\n",
        "print(\"The minimum number of ratings per book is:\", rating_book.min())\n",
        "print(\"The maximum number of ratings per book is:\", rating_book.max())"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "The minimum number of ratings per book is: 8\n",
            "The maximum number of ratings per book is: 100\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "M6Rqi0AB6WVg",
        "outputId": "a7f83445-b6dc-4d6d-b78e-7dba63c660c9"
      },
      "source": [
        "rating_user = ratings.groupby('user_id').user_id.apply(lambda x: len(x)).sort_values()\n",
        "print(\"The minimum number of ratings per user is:\", rating_user.min())\n",
        "print(\"The maximum number of ratings per user is:\", rating_user.max())"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "The minimum number of ratings per user is: 2\n",
            "The maximum number of ratings per user is: 200\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oB2L-ZXAyger"
      },
      "source": [
        "### 10.Review the book tag, tag data and merge that"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 137
        },
        "id": "SjP0NXcn6a2H",
        "outputId": "3e91d84e-0786-43ac-8c7f-4bd38f0c7951"
      },
      "source": [
        "book_tags.head(3)"
      ],
      "execution_count": 30,
      "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>goodreads_book_id</th>\n",
              "      <th>tag_id</th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>30574</td>\n",
              "      <td>167697</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>11305</td>\n",
              "      <td>37174</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>11557</td>\n",
              "      <td>34173</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   goodreads_book_id  tag_id   count\n",
              "0                  1   30574  167697\n",
              "1                  1   11305   37174\n",
              "2                  1   11557   34173"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 137
        },
        "id": "ibWonLlx6cCX",
        "outputId": "469f491b-f106-4db0-c8e3-a08f6f2e19ab"
      },
      "source": [
        "tags.sample(3)"
      ],
      "execution_count": 31,
      "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>tag_id</th>\n",
              "      <th>tag_name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>28854</th>\n",
              "      <td>28854</td>\n",
              "      <td>studies</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32505</th>\n",
              "      <td>32505</td>\n",
              "      <td>will-trade</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7256</th>\n",
              "      <td>7256</td>\n",
              "      <td>christopher-paolini</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       tag_id             tag_name\n",
              "28854   28854              studies\n",
              "32505   32505           will-trade\n",
              "7256     7256  christopher-paolini"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 137
        },
        "id": "AaEcHkD-6fpd",
        "outputId": "a259cb23-356b-43e2-d1c5-0584fc41dcc6"
      },
      "source": [
        "# Merge the two datasets grouping by the tag_id.\n",
        "data = pd.merge(book_tags, tags, left_on=\"tag_id\", right_on=\"tag_id\", how=\"inner\")\n",
        "\n",
        "titles = books[[\"book_id\", \"title\", \"goodreads_book_id\", \"authors\"]]\n",
        "\n",
        "# Merge the book dataset with the new one to know the title and the author\n",
        "data = pd.merge(titles, data, left_on=\"goodreads_book_id\", right_on=\"goodreads_book_id\")\n",
        "data.head(3)"
      ],
      "execution_count": 33,
      "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>book_id</th>\n",
              "      <th>title</th>\n",
              "      <th>goodreads_book_id</th>\n",
              "      <th>authors</th>\n",
              "      <th>tag_id</th>\n",
              "      <th>count</th>\n",
              "      <th>tag_name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>The Hunger Games (The Hunger Games, #1)</td>\n",
              "      <td>2767052</td>\n",
              "      <td>Suzanne Collins</td>\n",
              "      <td>30574</td>\n",
              "      <td>11314</td>\n",
              "      <td>to-read</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>The Hunger Games (The Hunger Games, #1)</td>\n",
              "      <td>2767052</td>\n",
              "      <td>Suzanne Collins</td>\n",
              "      <td>11305</td>\n",
              "      <td>10836</td>\n",
              "      <td>fantasy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>The Hunger Games (The Hunger Games, #1)</td>\n",
              "      <td>2767052</td>\n",
              "      <td>Suzanne Collins</td>\n",
              "      <td>11557</td>\n",
              "      <td>50755</td>\n",
              "      <td>favorites</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   book_id                                    title  goodreads_book_id  \\\n",
              "0        1  The Hunger Games (The Hunger Games, #1)            2767052   \n",
              "1        1  The Hunger Games (The Hunger Games, #1)            2767052   \n",
              "2        1  The Hunger Games (The Hunger Games, #1)            2767052   \n",
              "\n",
              "           authors  tag_id  count   tag_name  \n",
              "0  Suzanne Collins   30574  11314    to-read  \n",
              "1  Suzanne Collins   11305  10836    fantasy  \n",
              "2  Suzanne Collins   11557  50755  favorites  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "id": "OBgfe_ci7_sb",
        "outputId": "02bc2bef-4ea6-4e2f-b8a7-bfcbf4b31808"
      },
      "source": [
        "books[['book_id','original_publication_year','average_rating','ratings_count']].describe()"
      ],
      "execution_count": 34,
      "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>book_id</th>\n",
              "      <th>original_publication_year</th>\n",
              "      <th>average_rating</th>\n",
              "      <th>ratings_count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>9948.000000</td>\n",
              "      <td>9948.000000</td>\n",
              "      <td>9948.000000</td>\n",
              "      <td>9.948000e+03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>5001.972758</td>\n",
              "      <td>1989.688983</td>\n",
              "      <td>4.002050</td>\n",
              "      <td>5.400569e+04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>2886.580085</td>\n",
              "      <td>63.459165</td>\n",
              "      <td>0.254411</td>\n",
              "      <td>1.576062e+05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>2.470000</td>\n",
              "      <td>2.716000e+03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>2502.750000</td>\n",
              "      <td>1990.000000</td>\n",
              "      <td>3.850000</td>\n",
              "      <td>1.356975e+04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>5006.500000</td>\n",
              "      <td>2004.000000</td>\n",
              "      <td>4.020000</td>\n",
              "      <td>2.115850e+04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>7502.250000</td>\n",
              "      <td>2011.000000</td>\n",
              "      <td>4.180000</td>\n",
              "      <td>4.105350e+04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>10000.000000</td>\n",
              "      <td>2017.000000</td>\n",
              "      <td>4.820000</td>\n",
              "      <td>4.780653e+06</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            book_id  original_publication_year  average_rating  ratings_count\n",
              "count   9948.000000                9948.000000     9948.000000   9.948000e+03\n",
              "mean    5001.972758                1989.688983        4.002050   5.400569e+04\n",
              "std     2886.580085                  63.459165        0.254411   1.576062e+05\n",
              "min        1.000000                   8.000000        2.470000   2.716000e+03\n",
              "25%     2502.750000                1990.000000        3.850000   1.356975e+04\n",
              "50%     5006.500000                2004.000000        4.020000   2.115850e+04\n",
              "75%     7502.250000                2011.000000        4.180000   4.105350e+04\n",
              "max    10000.000000                2017.000000        4.820000   4.780653e+06"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xw80Fihd0wEY"
      },
      "source": [
        "### 11.Unique year count from Published Books"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4zhVLLAOZycA",
        "outputId": "cbb7b20c-10b9-4b03-b495-a0dcb345afd0"
      },
      "source": [
        "np.sort(books.original_publication_year.unique())"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([   8.,  119.,  180.,  397.,  609.,  800.,  975., 1120., 1273.,\n",
              "       1308., 1320., 1353., 1380., 1390., 1418., 1485., 1513., 1516.,\n",
              "       1519., 1532., 1550., 1554., 1563., 1589., 1590., 1591., 1592.,\n",
              "       1593., 1594., 1595., 1596., 1597., 1598., 1599., 1600., 1601.,\n",
              "       1603., 1604., 1605., 1606., 1611., 1623., 1637., 1641., 1645.,\n",
              "       1651., 1664., 1666., 1667., 1677., 1678., 1689., 1691., 1719.,\n",
              "       1722., 1726., 1729., 1748., 1749., 1759., 1762., 1764., 1767.,\n",
              "       1774., 1776., 1781., 1782., 1785., 1787., 1789., 1791., 1796.,\n",
              "       1798., 1807., 1808., 1811., 1812., 1813., 1814., 1815., 1817.,\n",
              "       1818., 1819., 1820., 1825., 1826., 1830., 1831., 1832., 1833.,\n",
              "       1834., 1835., 1836., 1837., 1838., 1839., 1840., 1841., 1842.,\n",
              "       1843., 1844., 1845., 1846., 1847., 1848., 1849., 1850., 1851.,\n",
              "       1852., 1853., 1854., 1855., 1856., 1857., 1859., 1860., 1861.,\n",
              "       1862., 1863., 1864., 1865., 1866., 1867., 1868., 1869., 1871.,\n",
              "       1872., 1874., 1876., 1877., 1878., 1879., 1880., 1881., 1882.,\n",
              "       1883., 1884., 1885., 1886., 1887., 1888., 1889., 1890., 1891.,\n",
              "       1892., 1893., 1894., 1895., 1896., 1897., 1898., 1899., 1900.,\n",
              "       1901., 1902., 1903., 1904., 1905., 1906., 1907., 1908., 1909.,\n",
              "       1910., 1911., 1912., 1913., 1914., 1915., 1916., 1917., 1918.,\n",
              "       1919., 1920., 1921., 1922., 1923., 1924., 1925., 1926., 1927.,\n",
              "       1928., 1929., 1930., 1931., 1932., 1933., 1934., 1935., 1936.,\n",
              "       1937., 1938., 1939., 1940., 1941., 1942., 1943., 1944., 1945.,\n",
              "       1946., 1947., 1948., 1949., 1950., 1951., 1952., 1953., 1954.,\n",
              "       1955., 1956., 1957., 1958., 1959., 1960., 1961., 1962., 1963.,\n",
              "       1964., 1965., 1966., 1967., 1968., 1969., 1970., 1971., 1972.,\n",
              "       1973., 1974., 1975., 1976., 1977., 1978., 1979., 1980., 1981.,\n",
              "       1982., 1983., 1984., 1985., 1986., 1987., 1988., 1989., 1990.,\n",
              "       1991., 1992., 1993., 1994., 1995., 1996., 1997., 1998., 1999.,\n",
              "       2000., 2001., 2002., 2003., 2004., 2005., 2006., 2007., 2008.,\n",
              "       2009., 2010., 2011., 2012., 2013., 2014., 2015., 2016., 2017.])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 164
        },
        "id": "ydmhC8H_8CeN",
        "outputId": "6cf7d5fc-b106-4c67-d2ef-9caa9009b1e4"
      },
      "source": [
        "books[books['original_publication_year'] ==119]"
      ],
      "execution_count": 37,
      "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>book_id</th>\n",
              "      <th>goodreads_book_id</th>\n",
              "      <th>books_count</th>\n",
              "      <th>authors</th>\n",
              "      <th>original_publication_year</th>\n",
              "      <th>original_title</th>\n",
              "      <th>title</th>\n",
              "      <th>language_code</th>\n",
              "      <th>average_rating</th>\n",
              "      <th>ratings_count</th>\n",
              "      <th>work_text_reviews_count</th>\n",
              "      <th>image_url</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>8632</th>\n",
              "      <td>8633</td>\n",
              "      <td>29022</td>\n",
              "      <td>232</td>\n",
              "      <td>Suetonius, Michael Grant, Robert Graves</td>\n",
              "      <td>119.0</td>\n",
              "      <td>De vita Caesarum</td>\n",
              "      <td>The Twelve Caesars</td>\n",
              "      <td>eng</td>\n",
              "      <td>4.05</td>\n",
              "      <td>11283</td>\n",
              "      <td>458</td>\n",
              "      <td>https://images.gr-assets.com/books/1347187766m...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "      book_id  goodreads_book_id  books_count  \\\n",
              "8632     8633              29022          232   \n",
              "\n",
              "                                      authors  original_publication_year  \\\n",
              "8632  Suetonius, Michael Grant, Robert Graves                      119.0   \n",
              "\n",
              "         original_title               title language_code  average_rating  \\\n",
              "8632  De vita Caesarum   The Twelve Caesars           eng            4.05   \n",
              "\n",
              "      ratings_count  work_text_reviews_count  \\\n",
              "8632          11283                      458   \n",
              "\n",
              "                                              image_url  \n",
              "8632  https://images.gr-assets.com/books/1347187766m...  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tETz56SW05d3"
      },
      "source": [
        "### 12. Check the Distribution of published year"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 388
        },
        "id": "7GP7QdiQ8Gq0",
        "outputId": "d2501dfe-07bf-4458-92f9-0ed358c44b96"
      },
      "source": [
        "# Function that plots the distribution of the books by the year.\n",
        "def plot_yearDistribution():\n",
        "    # Filter books written from 1900\n",
        "    plt.figure(figsize=(12, 6))\n",
        "    years_filter = books[(books['original_publication_year'] >= 1900)]\n",
        "    \n",
        "    #Plot the distribution of the books by the publication year.\n",
        "    sns.distplot(years_filter['original_publication_year'], kde=False, bins=20, color='green')\n",
        "    plt.xlabel(\"Publication year\")\n",
        "    plt.show()\n",
        "\n",
        "plot_yearDistribution()"
      ],
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XlFYVA9J1HBF"
      },
      "source": [
        "### 13. Count the Highest rating count"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 388
        },
        "id": "WZovoNkA8H9J",
        "outputId": "e26d48d2-75d9-44d6-a6e4-cbca2a2b2096"
      },
      "source": [
        "plt.figure(figsize=(12, 6))\n",
        "plots = sns.countplot(data=ratings, x ='rating')\n",
        "# Iterrating over the bars one-by-one\n",
        "for bar in plots.patches:\n",
        "\tplots.annotate(format(bar.get_height(), '.2f'),\n",
        "\t\t\t\t(bar.get_x() + bar.get_width() / 2,\n",
        "\t\t\t\t\tbar.get_height()), ha='center', va='center',\n",
        "\t\t\t\tsize=10, xytext=(0, 5),\n",
        "\t\t\t\ttextcoords='offset points')\n",
        "plt.show()"
      ],
      "execution_count": 63,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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OeQdgQvb0lGbAQyml/4mIhcCkiPgO8CIwLjt+HHB/RCwBVlMbtEkpLYiIh4CFwCbg8pTSZoCIuAKYBjQHxqeUFmTnumo715AkSVLm2Wef5f7776dnz56UlZUB8L3vfY+qqirGjh0LwPDhw7nwwgsBuO2221iyZAk33HADN9xwAwDTp0+nffv2fPWrX2XevHkAXHvttRx++OEADBo0iOnTp9OtWzeaN2/OTTfdRNu2bQE47rjjWLRoEe+88w4lJSWMGzeOQYMGce2111JeXs6pp57KyJEjOe+88ygtLaVNmzZMmjQJqP3w6Zlnnkm3bt0oKipi7NixdXfpP6mi9gazysvL05w5cwrdhiRpD/J0/+ML3YIa6fhnni50C9qNRMTclFL5tvVdMsdckiRJjXPbNx4rdAtqpCtuHrpTz9ekT2WRJEmS1DgGc0mSJCkHDOaSJElSDhjMJUmSpBwwmEuSJEk5YDCXJEmScsBgLkmSJOWAwVySJEnKAYO5JEmSlAMGc0mSJCkHDOaSJElSDhjMJUmSpBwwmEuSJEk5YDCXJEmScsBgLkmSJOWAwVySJEnKAYO5JEmSlAMGc0mSJCkHDOaSJElSDhjMJUmSpBwwmEuSJEk5YDCXJEmScsBgLkmSJOWAwVySJEnKAYO5JEmSlAMGc0mSJCkHDOaSJElSDhjMJUmSpBwwmEvSbmjZsmWccMIJdOvWje7du/OTn/xkq/0333wzEcFbb70FwLp16xg6dChHHnkk3bt3595776079o9//CMnnXQSXbt2pVu3bixduhSAc889l89+9rP06NGDL3/5y2zcuBGAKVOm0KtXL8rKyigvL+e3v/1tgz3OnTuXnj17Ulpayle+8hVSSgCsXr2agQMH0qVLFwYOHMiaNWt29tsjSblkMJek3VBRURE333wzCxcuZNasWYwdO5aFCxcCtaF9+vTpHHzwwXXHjx07lm7dujFv3jyeeuopvvGNb/Dee+8BcP755zN69GheeeUVZs+eTfv27YHaYL5o0SLmz5/Pu+++yz333APAgAEDmDdvHpWVlYwfP55Ro0Y12OOll17K3XffTVVVFVVVVUydOhWAMWPGMGDAAKqqqhgwYABjxoxpsvdJkvLEYC5Ju6EOHTpw9NFHA7DffvvRtWtXampqALjyyiv5wQ9+QETUHR8RvP3226SUeOedd2jTpg1FRUUsXLiQTZs2MXDgQAD23Xdf/uEf/gGAk08+mYggIujTpw/V1dV1x2w595///OetrrPF8uXLWb9+Pf369SMiOP/883nkkUeA2jvuFRUVAFRUVNTVJWl3ZzCXpN3c0qVLefHFF+nbty9TpkyhuLiYI488cqtjrrjiCl555RUOOuggevbsyU9+8hOaNWvG4sWLadWqFcOHD+eoo45i9OjRbN68eauxGzdu5P7772fw4MF1tV/84hccccQRfPGLX2T8+PEf6KmmpoaSkpK67ZKSkro/HN588006dOgAwIEHHsibb765094LScozg7kk7cbeeecdzjjjDH784x9TVFTE9773PW644YYPHDdt2jTKysr405/+RGVlJVdccQXr169n06ZN/OY3v+GHP/whzz//PK+99hr33XffVmMvu+wy+vfvz3HHHVdXO/3001m0aBGPPPII11xzzUfuf8sdeUnaEzRZMI+IjhHxZEQsjIgFEfHVrP4fEVETEZXZcnK9Md+MiCUR8WpEDKpXH5zVlkTE1fXqnSPiuaz+YETsndVbZNtLsv2dmup1SlJebdy4kTPOOINzzz2X4cOH8/vf/57XX3+dI488kk6dOlFdXc3RRx/NG2+8wb333svw4cOJCEpLS+ncuTOLFi2ipKSEsrIyDj30UIqKijjttNN44YUX6q5x/fXXs3LlSn70ox812EP//v157bXX6j5kukVxcXHd1BeA6upqiouLATjggANYvnw5UDvlZcucdkna3TXlHfNNwDdSSt2AfsDlEdEt23dLSqksWx4HyPadDXQHBgO3R0TziGgOjAWGAN2Ac+qd58bsXKXAGmBkVh8JrMnqt2THSdIeI6XEyJEj6dq1K1//+tcB6NmzJytWrGDp0qUsXbqUkpISXnjhBQ488EAOPvhgZs6cCdROJXn11Vc59NBDOeaYY1i7di0rV64E4IknnqBbt9r/BN9zzz1MmzaNBx54gGbN/va/kyVLltQ9YeWFF15gw4YNtG3bdqv+OnToQMuWLZk1axYpJSZOnMiwYcMAOPXUU5kwYQIAEyZMqKtL0u6uyYJ5Sml5SumFbP1t4BWgeAdDhgGTUkobUkqvA0uAPtmyJKX0WkrpPWASMCxq/23zRODhbPwE4LR655qQrT8MDAj/LVTSHuTZZ5/l/vvv54knnqCsrIyysjIef/zx7R5/zTXX8L//+7/07NmTAQMGcOONN7L//vvTvHlzfvjDHzJgwAB69uxJSomLLroIgEsuuYQ333yTz33uc5SVldVNkZk8eTI9evSgrKyMyy+/nAcffLBuOkpZWVndNW+//XZGjRpFaWkphx12GEOGDAHg6quvZsaMGXTp0oVf//rXXH311UjSniC23NVo0ovUTiV5BugBfB24AFgPzKH2rvqaiLgNmJVS+n/ZmHHAr7JTDE4pjcrq5wF9gf/Iji/N6h2BX6WUekTEy9mY6mzf74G+KaWt/i01Ii4GLgY4+OCDe//hD39oktcvSVJDnu5/fKFbUCMd/8zTu+xat33jsV12LX08V9w89CONi4i5KaXybetN/uHPiNgXmAx8LaW0HrgDOAwoA5YDNzd1D9uTUrorpVSeUipv165dodqQJEmSKGrKk0fEXtSG8p+llP4bIKX0Zr39dwP/k23WAB3rDS/JamynvgpoFRFFKaVN2xy/5VzVEVEEfCY7XpIK4tifHlvoFtRIz/7bs4VuQdIeqimfyhLAOOCVlNKP6tU71DvsdODlbP1R4OzsiSqdgS7AbOB5oEv2BJa9qf2A6KOpdg7Ok8CIbHwFMKXeuSqy9RHAE2lXzNmRJEmSPqKmvGN+LHAeMD8iKrPa/6X2qSplQAKWAv8KkFJaEBEPAQupfaLL5SmlzQARcQUwDWgOjE8pLcjOdxUwKSK+A7xI7R8CZD/vj4glwGpqw7wkSZKUW00WzFNKvwUaehLKdh8LkFL6LvDdBuqPNzQupfQatU9t2bb+V+Cf/55+JUmSpELymz8lSZKkHDCYS5IkSTlgMJckSZJywGAuSZIk5YDBXJIkScoBg7kkSZKUAwZzSZIkKQcM5pIkSVIOGMwlSZKkHDCYS5IkSTlgMJckSZJywGAuSZIk5YDBXJIkScoBg7kkSZKUAwZzSZIkKQcM5pIkSVIOGMwlSZKkHDCYS5IkSTlgMJckSZJywGAuSZIk5YDBXJIkScoBg7kkSZKUAwZzSZIkKQcM5pIkSVIOGMwlSZKkHDCYS5IkSTlgMJckSZJywGAuSZIk5YDBXJIkScoBg7kkSZKUAwZzSZIkKQcM5pIkSVIOGMwlSZKkHDCYS5IkSTlgMJckSZJyoMmCeUR0jIgnI2JhRCyIiK9m9TYRMSMiqrKfrbN6RMStEbEkIl6KiKPrnasiO74qIirq1XtHxPxszK0RETu6hiRJkpRXTXnHfBPwjZRSN6AfcHlEdAOuBmamlLoAM7NtgCFAl2y5GLgDakM2cB3QF+gDXFcvaN8BXFRv3OCsvr1rSJIkSbnUqGAeETMbU6svpbQ8pfRCtv428ApQDAwDJmSHTQBOy9aHARNTrVlAq4joAAwCZqSUVqeU1gAzgMHZvpYppVkppQRM3OZcDV1DkiRJyqWiHe2MiE8B/wDsn92ljmxXS2pDdqNERCfgKOA54ICU0vJs1xvAAdl6MbCs3rDqrLajenUDdXZwjW37upjau/McfPDBjX05kiRJ0k63w2AO/CvwNeAgYC5/C+brgdsac4GI2BeYDHwtpbQ+mwYOQEopRUT6e5v+e+zoGimlu4C7AMrLy5u0D0mSJGlHdjiVJaX0k5RSZ+D/pJQOTSl1zpYjU0ofGswjYi9qQ/nPUkr/nZXfzKahkP1ckdVrgI71hpdktR3VSxqo7+gakiRJUi41ao55SumnEfH5iPhSRJy/ZdnRmOwJKeOAV1JKP6q361Fgy5NVKoAp9ernZ09n6Qesy6ajTANOiojW2XSak4Bp2b71EdEvu9b525yroWtIkiRJufRhU1kAiIj7gcOASmBzVt7ygcvtORY4D5gfEZVZ7f8CY4CHImIk8AfgzGzf48DJwBLgL8CFACml1RHxbeD57LgbUkqrs/XLgPuATwO/yhZ2cA1JkiQplxoVzIFyoFv29JNGSSn9lr/NSd/WgAaOT8Dl2znXeGB8A/U5QI8G6qsauoYkSZKUV419jvnLwIFN2YgkSZK0J2vsHfP9gYURMRvYsKWYUjq1SbqSJEmS9jCNDeb/0ZRNSJIkSXu6RgXzlNLTTd2IJEmStCdr7FNZ3qb2KSwAewN7AX9OKbVsqsYkSZKkPUlj75jvt2U9e2b4MKBfUzUlSZIk7Wka+1SWOqnWI8CgJuhHkiRJ2iM1dirL8Hqbzah9rvlfm6QjSZIkaQ/U2KeyDK23vglYSu10FkmSJEk7QWPnmF/Y1I1IkiRJe7JGzTGPiJKI+EVErMiWyRFR0tTNSZIkSXuKxn74817gUeCgbHksq0mSJEnaCRobzNullO5NKW3KlvuAdk3YlyRJkrRHaWwwXxUR/xIRzbPlX4BVTdmYJEmStCdpbDD/MnAm8AawHBgBXNBEPUmSJEl7nMY+LvEGoCKltAYgItoAP6Q2sEuSJEn6mBp7x7zXllAOkFJaDRzVNC1JkiRJe57GBvNmEdF6y0Z2x7yxd9slSZIkfYjGhuubgd9FxM+z7X8Gvts0LUmSJEl7nsZ+8+fEiJgDnJiVhqeUFjZdW5IkSdKepdHTUbIgbhiXJEmSmkBj55hLkiRJakIGc0mSJCkHDOaSJElSDhjMJUmSpBwwmEuSJEk5YDCXJEmScsBgLkmSJOWAwVySJEnKAYO5JEmSlAMGc0mSJCkHDOaSJElSDhjMJUmSpBwwmEuSJEk50GTBPCLGR8SKiHi5Xu0/IqImIiqz5eR6+74ZEUsi4tWIGFSvPjirLYmIq+vVO0fEc1n9wYjYO6u3yLaXZPs7NdVrlCRJknaWprxjfh8wuIH6LSmlsmx5HCAiugFnA92zMbdHRPOIaA6MBYYA3YBzsmMBbszOVQqsAUZm9ZHAmqx+S3acJEmSlGtNFsxTSs8Aqxt5+DBgUkppQ0rpdWAJ0CdblqSUXkspvQdMAoZFRAAnAg9n4ycAp9U714Rs/WFgQHa8JEmSlFuFmGN+RUS8lE11aZ3VioFl9Y6pzmrbq7cF1qaUNm1T3+pc2f512fEfEBEXR8SciJizcuXKj//KJEmSpI9oVwfzO4DDgDJgOXDzLr7+VlJKd6WUylNK5e3atStkK5IkSdrD7dJgnlJ6M6W0OaX0PnA3tVNVAGqAjvUOLclq26uvAlpFRNE29a3Ole3/THa8JEmSlFu7NJhHRId6m6cDW57Y8ihwdvZElc5AF2A28DzQJXsCy97UfkD00ZRSAp4ERmTjK4Ap9c5Vka2PAJ7IjpckSZJyq+jDD/loIuIB4AvA/hFRDVwHfCEiyoAELAX+FSCltCAiHgIWApuAy1NKm7PzXAFMA5oD41NKC7JLXAVMiojvAC8C47L6OOD+iFhC7YdPz26q1yhJkiTtLE0WzFNK5zRQHtdAbcvx3wW+20D9ceDxBuqv8bepMPXrfwX++e9qVpIkSSowv/lTkiRJygGDuSRJkpQDBnNJkiQpBwzmkiRJUg4YzCVJkqQcMJhLkiRJOWAwlyRJknLAYC5JkiTlgMFckiRJygGDuSRJkpQDBnNJkiQpBwzmkiRJUg4YzCVJkqQcMJhLkiRJOWAwlyRJknLAYC5JkiTlgMFckiRJygGDuSRJkpQDBnNJkiQpBwzmkiRJUg4YzCVJkqQcMJhLkiRJOWAwlyRJknLAYC5JkiTlgMFckiRJygGDuSRJkpQDBnNJkiQpBwzmkiRJUg4YzCVJkqQcMJhLkiRJOWAwlyRJknLAYC5JkiTlgMFckiRJygGDuUDZVl4AABKQSURBVCRJkpQDTRbMI2J8RKyIiJfr1dpExIyIqMp+ts7qERG3RsSSiHgpIo6uN6YiO74qIirq1XtHxPxszK0RETu6hiRJkpRnTXnH/D5g8Da1q4GZKaUuwMxsG2AI0CVbLgbugNqQDVwH9AX6ANfVC9p3ABfVGzf4Q64hSZIk5VaTBfOU0jPA6m3Kw4AJ2foE4LR69Ymp1iygVUR0AAYBM1JKq1NKa4AZwOBsX8uU0qyUUgImbnOuhq4hSZIk5daunmN+QEppebb+BnBAtl4MLKt3XHVW21G9uoH6jq4hSZIk5VbBPvyZ3elOhbxGRFwcEXMiYs7KlSubshVJkiRph3Z1MH8zm4ZC9nNFVq8BOtY7riSr7ahe0kB9R9f4gJTSXSml8pRSebt27T7yi5IkSZI+rl0dzB8FtjxZpQKYUq9+fvZ0ln7Aumw6yjTgpIhonX3o8yRgWrZvfUT0y57Gcv4252roGpIkSVJuFTXViSPiAeALwP4RUU3t01XGAA9FxEjgD8CZ2eGPAycDS4C/ABcCpJRWR8S3geez425IKW35QOll1D755dPAr7KFHVxDkiRJyq0mC+YppXO2s2tAA8cm4PLtnGc8ML6B+hygRwP1VQ1dQ5IkScozv/lTkiRJygGDuSRJkpQDBnNJkiQpBwzmkiRJUg4YzCVJkqQcMJhLkiRJOWAwlyRJknLAYC5JkiTlgMFckiRJygGDuSRJkpQDBnNJkiQpBwzmkiRJUg4YzCVJkqQcMJhLkiRJOWAwlyRJknLAYC5JkiTlgMFckiRJygGDubSbWbt2LSNGjOCII46ga9eu/O53v+Oaa66hV69elJWVcdJJJ/GnP/0JgJ/97Gf06tWLnj178vnPf5558+YB8Ne//pU+ffpw5JFH0r17d6677rq68992222UlpYSEbz11lvb7WPChAl06dKFLl26MGHChLr63Llz6dmzJ6WlpXzlK18hpdRE74QkSZ8sBnNpN/PVr36VwYMHs2jRIubNm0fXrl0ZPXo0L730EpWVlZxyyinccMMNAHTu3Jmnn36a+fPnc80113DxxRcD0KJFC5544gnmzZtHZWUlU6dOZdasWQAce+yx/PrXv+aQQw7Zbg+rV6/m+uuv57nnnmP27Nlcf/31rFmzBoBLL72Uu+++m6qqKqqqqpg6dWoTvyOSJH0yGMyl3ci6det45plnGDlyJAB77703rVq1omXLlnXH/PnPfyYiAPj85z9P69atAejXrx/V1dUARAT77rsvABs3bmTjxo11Y4466ig6deq0wz6mTZvGwIEDadOmDa1bt2bgwIFMnTqV5cuXs379evr160dEcP755/PII4/s1PdAkqRPKoO5tBt5/fXXadeuHRdeeCFHHXUUo0aN4s9//jMA3/rWt+jYsSM/+9nP6u6Y1zdu3DiGDBlSt71582bKyspo3749AwcOpG/fvo3uo6amho4dO9Ztl5SUUFNTQ01NDSUlJR+oS5Ikg7m0W9m0aRMvvPACl156KS+++CL77LMPY8aMAeC73/0uy5Yt49xzz+W2227batyTTz7JuHHjuPHGG+tqzZs3p7KykurqambPns3LL7+8S1+LJEl7GoO5tBspKSmhpKSk7u72iBEjeOGFF7Y65txzz2Xy5Ml12y+99BKjRo1iypQptG3b9gPnbNWqFSeccMLfNRe8uLiYZcuW1W1XV1dTXFxMcXFx3XSZ+nVJkmQwl3YrBx54IB07duTVV18FYObMmXTr1o2qqqq6Y6ZMmcIRRxwBwB//+EeGDx/O/fffz+GHH153zMqVK1m7di0A7777LjNmzKgb0xiDBg1i+vTprFmzhjVr1jB9+nQGDRpEhw4daNmyJbNmzSKlxMSJExk2bNjOeOmSJH3iFRW6AUk7109/+lPOPfdc3nvvPQ499FDuvfdeRo0axauvvkqzZs045JBDuPPOOwG44YYbWLVqFZdddhkARUVFzJkzh+XLl1NRUcHmzZt5//33OfPMMznllFMAuPXWW/nBD37AG2+8Qa9evTj55JO55557mDNnDnfeeSf33HMPbdq04ZprruGYY44B4Nprr6VNmzYA3H777VxwwQW8++67DBkyZKt57ZIk7cnCZwjXKi8vT3PmzCl0G5J2U8f+9NhCt6BGevbfnt1l13q6//G77Fr6eI5/5ulddq3bvvHYLruWPp4rbh76kcZFxNyUUvm2daeySJIkSTngVBZpJ/vjDT0L3YIa6eBr5xe6BUmS6njHXJIkScoBg7kkSZKUAwZzSZIkKQcM5pIkSVIOGMwlSZKkHDCYS5IkSTlgMJckSZJyoCDBPCKWRsT8iKiMiDlZrU1EzIiIquxn66weEXFrRCyJiJci4uh656nIjq+KiIp69d7Z+ZdkY2PXv0pJkiSp8Qp5x/yElFJZva8jvRqYmVLqAszMtgGGAF2y5WLgDqgN8sB1QF+gD3DdljCfHXNRvXGDm/7lSJIkSR9dnqayDAMmZOsTgNPq1SemWrOAVhHRARgEzEgprU4prQFmAIOzfS1TSrNSSgmYWO9ckiRJUi4VKpgnYHpEzI2Ii7PaASml5dn6G8AB2XoxsKze2OqstqN6dQP1D4iIiyNiTkTMWbly5cd5PZIkSdLHUlSg6/5jSqkmItoDMyJiUf2dKaUUEampm0gp3QXcBVBeXt7k15MkSZK2pyB3zFNKNdnPFcAvqJ0j/mY2DYXs54rs8BqgY73hJVltR/WSBuqSJElSbu3yYB4R+0TEflvWgZOAl4FHgS1PVqkApmTrjwLnZ09n6Qesy6a8TANOiojW2Yc+TwKmZfvWR0S/7Gks59c7lyRJkpRLhZjKcgDwi+wJhkXAf6WUpkbE88BDETES+ANwZnb848DJwBLgL8CFACml1RHxbeD57LgbUkqrs/XLgPuATwO/yhZJkiQpt3Z5ME8pvQYc2UB9FTCggXoCLt/OucYD4xuozwF6fOxmJUmSpF0kT49LlCRJkvZYBnNJkiQpBwzmkiRJUg4YzCVJkqQcMJhLkiRJOWAwlyRJknLAYC5JkiTlgMFckiRJygGDuSRJkpQDBnNJkiQpBwzmkiRJUg4YzD+hvvzlL9O+fXt69OhRV5s3bx6f+9zn6NmzJ0OHDmX9+vUALF26lE9/+tOUlZVRVlbGJZdcAsDbb79dVysrK2P//ffna1/7GgD33Xcf7dq1q9t3zz33NNjH3Llz6dmzJ6WlpXzlK18hpQTA6tWrGThwIF26dGHgwIGsWbOmKd8OSZKkTzyD+SfUBRdcwNSpU7eqjRo1ijFjxjB//nxOP/10brrpprp9hx12GJWVlVRWVnLnnXcCsN9++9XVKisrOeSQQxg+fHjdmLPOOqtu36hRoxrs49JLL+Xuu++mqqqKqqqqup7GjBnDgAEDqKqqYsCAAYwZM2ZnvwWSJEm7FYP5J1T//v1p06bNVrXFixfTv39/AAYOHMjkyZMbfb7FixezYsUKjjvuuEaPWb58OevXr6dfv35EBOeffz6PPPIIAFOmTKGiogKAioqKurokSZIaZjDfjXTv3p0pU6YA8POf/5xly5bV7Xv99dc56qijOP744/nNb37zgbGTJk3irLPOIiLqapMnT6ZXr16MGDFiq3NtUVNTQ0lJSd12SUkJNTU1ALz55pt06NABgAMPPJA333xz57xISZKk3ZTBfDcyfvx4br/9dnr37s3bb7/N3nvvDUCHDh344x//yIsvvsiPfvQjvvSlL9XNP99i0qRJnHPOOXXbQ4cOZenSpbz00ksMHDiw7u73RxERWwV+SZIkfZDBfDdyxBFHMH36dObOncs555zDYYcdBkCLFi1o27YtAL179+awww5j8eLFdePmzZvHpk2b6N27d12tbdu2tGjRAqiduz537twPXK+4uJjq6uq67erqaoqLiwE44IADWL58OVA75aV9+/Y7+dVKkiTtXgzmu5EVK1YA8P777/Od73yn7ukrK1euZPPmzQC89tprVFVVceihh9aNe+CBB7a6Ww7UhWqARx99lK5du37geh06dKBly5bMmjWLlBITJ05k2LBhAJx66qlMmDABgAkTJtTVJUmS1LCiQjegj+acc87hqaee4q233qKkpITrr7+ed955h7FjxwIwfPhwLrzwQgCeeeYZrr32Wvbaay+aNWvGnXfeudUHRx966CEef/zxrc5/66238uijj1JUVESbNm2477776vaVlZVRWVkJwO23384FF1zAu+++y5AhQxgyZAgAV199NWeeeSbjxo3jkEMO4aGHHmrKt0OSJOkTL7Y8d3pPV15enubMmVPoNrQb+OMNPQvdghrp4Gvn77JrHfvTY3fZtfTxPPtvz+6yaz3d//hddi19PMc/8/Quu9Zt33hsl11LH88VNw/9SOMiYm5KqXzbulNZJEmSpBxwKsvH0Hv0xEK3oEaae9P5hW5BkiRph7xjLkmSJOWAwVySJEnKAYO5JEmSlAMGc0mSJCkHDOaSJElSDhjMJUmSpBwwmEuSJEk5YDCXJEmScsBgLkmSJOWAwVySJEnKAYO5JEmSlAMGc0mSJCkHdttgHhGDI+LViFgSEVcXuh9JkiRpR3bLYB4RzYGxwBCgG3BORHQrbFeSJEnS9u2WwRzoAyxJKb2WUnoPmAQMK3BPkiRJ0nbtrsG8GFhWb7s6q0mSJEm5FCmlQvew00XECGBwSmlUtn0e0DeldMU2x10MXJxtfhZ4dZc2ml/7A28Vugnljr8Xaoi/F2qIvxdqiL8Xf3NISqndtsWiQnSyC9QAHettl2S1raSU7gLu2lVNfVJExJyUUnmh+1C++Huhhvh7oYb4e6GG+Hvx4XbXqSzPA10ionNE7A2cDTxa4J4kSZKk7dot75inlDZFxBXANKA5MD6ltKDAbUmSJEnbtVsGc4CU0uPA44Xu4xPK6T1qiL8Xaoi/F2qIvxdqiL8XH2K3/PCnJEmS9Emzu84xlyRJkj5RDOaqExHjI2JFRLxc6F6UDxHRMSKejIiFEbEgIr5a6J5UeBHxqYiYHRHzst+L6wvdk/IjIppHxIsR8T+F7kX5EBFLI2J+RFRGxJxC95NnTmVRnYjoD7wDTEwp9Sh0Pyq8iOgAdEgpvRAR+wFzgdNSSgsL3JoKKCIC2Cel9E5E7AX8FvhqSmlWgVtTDkTE14FyoGVK6ZRC96PCi4ilQHlKyWeYfwjvmKtOSukZYHWh+1B+pJSWp5ReyNbfBl7Bb9Hd46Va72Sbe2WLd3lERJQAXwTuKXQv0ieRwVxSo0REJ+Ao4LnCdqI8yKYrVAIrgBkpJX8vBPBj4P8D3i90I8qVBEyPiLnZt65rOwzmkj5UROwLTAa+llJaX+h+VHgppc0ppTJqv1m5T0Q4/W0PFxGnACtSSnML3Yty5x9TSkcDQ4DLs6mzaoDBXNIOZXOIJwM/Syn9d6H7Ub6klNYCTwKDC92LCu5Y4NRsPvEk4MSI+H+FbUl5kFKqyX6uAH4B9ClsR/llMJe0XdmH/MYBr6SUflTofpQPEdEuIlpl658GBgKLCtuVCi2l9M2UUklKqRNwNvBESulfCtyWCiwi9skeHkBE7AOcBPj0t+0wmKtORDwA/A74bERUR8TIQvekgjsWOI/aO1+V2XJyoZtSwXUAnoyIl4DnqZ1j7qPxJDXkAOC3ETEPmA38MqU0tcA95ZaPS5QkSZJywDvmkiRJUg4YzCVJkqQcMJhLkiRJOWAwlyRJknLAYC5JkiTlgMFcktRoEfG1iPiHetuPb3mmuSTp4/FxiZKkrWRfLBUppfcb2LcUKE8pvbXLG5Ok3Zx3zCVJRESniHg1IiZS+6184yJiTkQsiIjrs2O+AhxE7ZcLPZnVlkbE/tn4VyLi7mzM9OxbQYmIYyLipewLqm6KCL/1T5IaYDCXJG3RBbg9pdQd+EZKqRzoBRwfEb1SSrcCfwJOSCmdsJ3xY7Pxa4Ezsvq9wL+mlMqAzU3+KiTpE8pgLkna4g8ppVnZ+pkR8QLwItAd6NaI8a+nlCqz9blAp2z++X4ppd9l9f/aqR1L0m6kqNANSJJy488AEdEZ+D/AMSmlNRFxH/CpRozfUG99M/Dpnd6hJO3GvGMuSdpWS2pD+rqIOAAYUm/f28B+jT1RSmkt8HZE9M1KZ++0LiVpN+Mdc0nSVlJK8yLiRWARsAx4tt7uu4CpEfGn7cwzb8hI4O6IeB94Gli3UxuWpN2Ej0uUJDWpiNg3pfROtn410CGl9NUCtyVJueMdc0lSU/tiRHyT2v/n/AG4oLDtSFI+ecdckiRJygE//ClJkiTlgMFckiRJygGDuSRJkpQDBnNJkiQpBwzmkiRJUg4YzCVJkqQc+P8BtTlq31g8qwMAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yBQ2grFP1Pv3"
      },
      "source": [
        "### 14.Top10 Tags of the books"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 388
        },
        "id": "pQtSpDxI8MTa",
        "outputId": "ac0b8d6d-4ecc-4bb8-f361-fc0885739011"
      },
      "source": [
        "plt.figure(figsize=(12, 6))\n",
        "top_tags = data['tag_name'].value_counts(ascending = False).head(10)\n",
        "sns.barplot(x = top_tags, y=top_tags.index)\n",
        "plt.show()"
      ],
      "execution_count": 64,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "j71MuZMd1U23"
      },
      "source": [
        "### 15.Correlation Checking"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 488
        },
        "id": "LP7lOXiV8NnP",
        "outputId": "898a9592-fba6-4323-d315-a9b56242a23d"
      },
      "source": [
        "plt.figure(figsize=(12, 8))\n",
        "corr = books[['books_count','original_publication_year','ratings_count','work_text_reviews_count','average_rating']].corr()\n",
        "sns.heatmap(corr,annot=True)\n",
        "plt.show()"
      ],
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YrL6th5V1bsE"
      },
      "source": [
        "### 16.Top 10 Books Contains highest Ratings"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 345
        },
        "id": "QZkBMINu8SH6",
        "outputId": "275800b4-f0a9-4338-8d8e-d477a78b34a5"
      },
      "source": [
        "pd.set_option('display.max_colwidth', -1)\n",
        "books[['title','ratings_count']].sort_values(by=['ratings_count'], ascending=False).head(10)"
      ],
      "execution_count": 60,
      "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>title</th>\n",
              "      <th>ratings_count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>The Hunger Games (The Hunger Games, #1)</td>\n",
              "      <td>4780653</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Harry Potter and the Sorcerer's Stone (Harry Potter, #1)</td>\n",
              "      <td>4602479</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Twilight (Twilight, #1)</td>\n",
              "      <td>3866839</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>To Kill a Mockingbird</td>\n",
              "      <td>3198671</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>The Great Gatsby</td>\n",
              "      <td>2683664</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>The Fault in Our Stars</td>\n",
              "      <td>2346404</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>The Hobbit</td>\n",
              "      <td>2071616</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>The Catcher in the Rye</td>\n",
              "      <td>2044241</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Pride and Prejudice</td>\n",
              "      <td>2035490</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Angels &amp; Demons  (Robert Langdon, #1)</td>\n",
              "      <td>2001311</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                      title  ratings_count\n",
              "0  The Hunger Games (The Hunger Games, #1)                   4780653      \n",
              "1  Harry Potter and the Sorcerer's Stone (Harry Potter, #1)  4602479      \n",
              "2  Twilight (Twilight, #1)                                   3866839      \n",
              "3  To Kill a Mockingbird                                     3198671      \n",
              "4  The Great Gatsby                                          2683664      \n",
              "5  The Fault in Our Stars                                    2346404      \n",
              "6  The Hobbit                                                2071616      \n",
              "7  The Catcher in the Rye                                    2044241      \n",
              "9  Pride and Prejudice                                       2035490      \n",
              "8  Angels & Demons  (Robert Langdon, #1)                     2001311      "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VXd7uAHq10bR"
      },
      "source": [
        "### 17.Top 10 Higest average rating by book\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 345
        },
        "id": "-fvZAQGr8TVz",
        "outputId": "eeb3c5b4-33ef-4299-b9f4-c7dbca6371ad"
      },
      "source": [
        "books[['title','average_rating']].sort_values(by=['average_rating'], ascending=False).head(10)"
      ],
      "execution_count": 65,
      "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>title</th>\n",
              "      <th>average_rating</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3627</th>\n",
              "      <td>The Complete Calvin and Hobbes</td>\n",
              "      <td>4.82</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3274</th>\n",
              "      <td>Harry Potter Boxed Set, Books 1-5 (Harry Potter, #1-5)</td>\n",
              "      <td>4.77</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>861</th>\n",
              "      <td>Words of Radiance (The Stormlight Archive, #2)</td>\n",
              "      <td>4.77</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8853</th>\n",
              "      <td>Mark of the Lion Trilogy</td>\n",
              "      <td>4.76</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7946</th>\n",
              "      <td>ESV Study Bible</td>\n",
              "      <td>4.76</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4482</th>\n",
              "      <td>It's a Magical World: A Calvin and Hobbes Collection</td>\n",
              "      <td>4.75</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>421</th>\n",
              "      <td>Harry Potter Boxset (Harry Potter, #1-7)</td>\n",
              "      <td>4.74</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6360</th>\n",
              "      <td>There's Treasure Everywhere: A Calvin and Hobbes Collection</td>\n",
              "      <td>4.74</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3752</th>\n",
              "      <td>Harry Potter Collection (Harry Potter, #1-6)</td>\n",
              "      <td>4.73</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6919</th>\n",
              "      <td>The Indispensable Calvin and Hobbes</td>\n",
              "      <td>4.73</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                            title  \\\n",
              "3627  The Complete Calvin and Hobbes                                \n",
              "3274  Harry Potter Boxed Set, Books 1-5 (Harry Potter, #1-5)        \n",
              "861   Words of Radiance (The Stormlight Archive, #2)                \n",
              "8853  Mark of the Lion Trilogy                                      \n",
              "7946  ESV Study Bible                                               \n",
              "4482  It's a Magical World: A Calvin and Hobbes Collection          \n",
              "421   Harry Potter Boxset (Harry Potter, #1-7)                      \n",
              "6360  There's Treasure Everywhere: A Calvin and Hobbes Collection   \n",
              "3752  Harry Potter Collection (Harry Potter, #1-6)                  \n",
              "6919  The Indispensable Calvin and Hobbes                           \n",
              "\n",
              "      average_rating  \n",
              "3627  4.82            \n",
              "3274  4.77            \n",
              "861   4.77            \n",
              "8853  4.76            \n",
              "7946  4.76            \n",
              "4482  4.75            \n",
              "421   4.74            \n",
              "6360  4.74            \n",
              "3752  4.73            \n",
              "6919  4.73            "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 65
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "U-9QgNvv2Fdx"
      },
      "source": [
        "### 18.Join all tags by Books"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8iB-H1068WFK"
      },
      "source": [
        "# For each book, join all their tags\n",
        "list_tags = data.groupby(by=\"goodreads_book_id\")[\"tag_name\"].apply(set).apply(list)\n",
        "\n",
        "# Append this list of tags on the books dataset\n",
        "books[\"tags\"] = books[\"goodreads_book_id\"].apply(lambda x: \" \".join(list_tags[x]))"
      ],
      "execution_count": 66,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 361
        },
        "id": "MYxrBZ008aDA",
        "outputId": "f2126cd4-829f-4a11-f4cd-80b5d80a9914"
      },
      "source": [
        "pd.reset_option('max_colwidth')\n",
        "books.head(2)"
      ],
      "execution_count": 68,
      "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>book_id</th>\n",
              "      <th>goodreads_book_id</th>\n",
              "      <th>books_count</th>\n",
              "      <th>authors</th>\n",
              "      <th>original_publication_year</th>\n",
              "      <th>original_title</th>\n",
              "      <th>title</th>\n",
              "      <th>language_code</th>\n",
              "      <th>average_rating</th>\n",
              "      <th>ratings_count</th>\n",
              "      <th>work_text_reviews_count</th>\n",
              "      <th>image_url</th>\n",
              "      <th>tags</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>2767052</td>\n",
              "      <td>272</td>\n",
              "      <td>Suzanne Collins</td>\n",
              "      <td>2008.0</td>\n",
              "      <td>The Hunger Games</td>\n",
              "      <td>The Hunger Games (The Hunger Games, #1)</td>\n",
              "      <td>eng</td>\n",
              "      <td>4.34</td>\n",
              "      <td>4780653</td>\n",
              "      <td>155254</td>\n",
              "      <td>https://images.gr-assets.com/books/1447303603m...</td>\n",
              "      <td>ya-fiction my-favorites sf love books books-i-...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>491</td>\n",
              "      <td>J.K. Rowling, Mary GrandPré</td>\n",
              "      <td>1997.0</td>\n",
              "      <td>Harry Potter and the Philosopher's Stone</td>\n",
              "      <td>Harry Potter and the Sorcerer's Stone (Harry P...</td>\n",
              "      <td>eng</td>\n",
              "      <td>4.44</td>\n",
              "      <td>4602479</td>\n",
              "      <td>75867</td>\n",
              "      <td>https://images.gr-assets.com/books/1474154022m...</td>\n",
              "      <td>ya-fiction my-favorites read-in-2015 books boo...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   book_id  goodreads_book_id  books_count                      authors  \\\n",
              "0        1            2767052          272              Suzanne Collins   \n",
              "1        2                  3          491  J.K. Rowling, Mary GrandPré   \n",
              "\n",
              "   original_publication_year                            original_title  \\\n",
              "0                     2008.0                          The Hunger Games   \n",
              "1                     1997.0  Harry Potter and the Philosopher's Stone   \n",
              "\n",
              "                                               title language_code  \\\n",
              "0            The Hunger Games (The Hunger Games, #1)           eng   \n",
              "1  Harry Potter and the Sorcerer's Stone (Harry P...           eng   \n",
              "\n",
              "   average_rating  ratings_count  work_text_reviews_count  \\\n",
              "0            4.34        4780653                   155254   \n",
              "1            4.44        4602479                    75867   \n",
              "\n",
              "                                           image_url  \\\n",
              "0  https://images.gr-assets.com/books/1447303603m...   \n",
              "1  https://images.gr-assets.com/books/1474154022m...   \n",
              "\n",
              "                                                tags  \n",
              "0  ya-fiction my-favorites sf love books books-i-...  \n",
              "1  ya-fiction my-favorites read-in-2015 books boo...  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ROa9-RDM2kdT"
      },
      "source": [
        "### 19. Helping Function"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "x7nj4H568gSb"
      },
      "source": [
        "# Function to get the index of the book given its title. \n",
        "def get_book_id(book_title):\n",
        "    index = books.index[books['original_title'] == book_title].to_list()\n",
        "    if index:\n",
        "        return index[0]\n",
        "    else:\n",
        "        return None\n",
        "\n",
        "# Function to get the title of a book given its id.\n",
        "def get_book_title(book_id):\n",
        "    title = books.iloc[book_id]['original_title']\n",
        "    return title"
      ],
      "execution_count": 85,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "W-6sq3ou2t_d"
      },
      "source": [
        "### 20.TFIDF Count\n",
        "\n",
        "![](https://miro.medium.com/max/1838/1*qQgnyPLDIkUmeZKN2_ZWbQ.png)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8YcouHVr8qkT"
      },
      "source": [
        "tfidf = TfidfVectorizer(stop_words='english')\n",
        "\n",
        "tfidf_matrix = tfidf.fit_transform(books['tags'])"
      ],
      "execution_count": 71,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YVhgxWmu8tGI"
      },
      "source": [
        "similarities = cosine_similarity(tfidf_matrix, tfidf_matrix)\n",
        "\n",
        "# Function that takes the book title and returns the most similar books.\n",
        "def get_similar_books(title, n=10):\n",
        "    \n",
        "    # Get the book id\n",
        "    book_id = get_book_id(title)\n",
        "    \n",
        "    if book_id is None:\n",
        "        print(\"Book not found.\")\n",
        "    else:\n",
        "        \n",
        "        # Get the pariwsie similarity scores of all books with that book\n",
        "        book_similarities = list(enumerate(similarities[book_id]))\n",
        "        \n",
        "        # Sort the books based on the similarity scores\n",
        "        book_similarities = sorted(book_similarities, key=lambda x: x[1], reverse=True)\n",
        "        \n",
        "        # Get the scores of the 10 most similar book\n",
        "        most_similar_books = book_similarities[1:1+n]\n",
        "        movie_indices = [i[0] for i in most_similar_books]\n",
        "   \n",
        "    # Top 10 book recommendation\n",
        "        rec = books[['title', 'image_url']].iloc[movie_indices]\n",
        "        print(\"For this book we will recommand you:\\n\")\n",
        "        for i in rec['image_url']:\n",
        "            response = requests.get(i)\n",
        "            img = Image.open(BytesIO(response.content))\n",
        "            plt.figure()\n",
        "            plt.imshow(img)\n",
        "            plt.axis('off')\n",
        "            plt.show()"
      ],
      "execution_count": 89,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "YxZ_UJyk8vfq",
        "outputId": "aa0f0d00-cfb3-4850-ae8b-d6c7d0df86f1"
      },
      "source": [
        "get_similar_books(\"The Fault in Our Stars\")"
      ],
      "execution_count": 95,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "For this book we will recommand you:\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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toq0t0zRnGHskee5mDXfrBrQ68Fw3d7coD0Yr6qoihkDwHq10vpkxUbc1weefG22pTIXRhudffMH86Jh2tsCIzStVltNohVaKm80d4zTmhVU6exEBHyMSY+YuYyCnDwlRHFxYCJ5KLJKECnAxE2wpepwogkS8BAwQfSBNHkLKhLTRmKqAK+Vkg+RJMaHQGdwJlDa56lJqHdlUpJLFBiALAWIKh9jQKA2SsqsvUJcUC1XzDcH3z/+H/5H5fM5yueR3v/c9Li+vuLm9zcx/2zKr28xbec80TjkBKZeRfCAwErTKFx8FlMq7PQVAMKKJKVsE3/f47Q6lhNoaxtsVXzx7xsc/+yl/+W//HQ9PTnjvzbf4p//Zf0q/DayD58HTR6ByfDT1E0oLtQFRBnPSMi1gGFp22x1D37Ner7G8wTCd4UNAjMF5z3q75aNfenwIVE3Lqxcvid4zhLy5mqZlcbRkGhzRR5Qojo+Pubi84Mc//xlRGd7/1od0syOi99RVgzU1OoAVhRtH/sNf/G9EHxARuq7jw+/+Du18hl+vOG4aUApHolGQUBA13mjWmzVXF+fMdcOibjnu5kwkxhDp3cToSz04RSRE7p6/5Pb5OTqC7mrqece7v/OtA3gaFFYbMMKsbZm8gxBYzGZMzuGD4FzKlSURUoj4Qq91XcdusyWUmPCo6/Ah0I8DSsB7z+QcCXugbL42+P7wD/+QcZwYxpHPPvscHwIpgQsepQ22rnOyEALeu+w+UsiWLsXMqjvHNE1oKZY55F0GgA/ZjcWIkBiHHUogestudcunn37Mf/zr/4vv//xjPnjzKYtZw8XlK9q2QUj8u3/7b1jttkQFf/Anf8Ty7IS6bYgugLUYrTFU6BioVEKngETH5CpCTIg1+BDomooXzz9n8oqubTlaLAje450jhrzTlcp14vlywfHRETd3d6w3W6bJ0w8jznliCGw3PWdnDYvZjCePHvPJLz7h1YvnVAk++Na36dqWF8+/wE4TsgFZb7h68QrRmqOzE6ZpQokwqxou1rf4caBNoIcREzUNjqtXL3GNJR11JN3lDZgSdbA0U2Th4L2330J1Nam2+O2O9XrNNAwsTUMznyFK8+yzZxwdH2PriouLK1xwOSaNCecdWmm6dkZtK6YQuOufIwht13J0dMz5x58wThPee5pZRzebcTKfcxPSoUz3tcH35MkTrm9uGK8c1zc32KrG6JwUaG2wpejuQ0a8c+5QZN6rNrz3eO9R1uSYIYScVUIJfnMxXpQQgmfynmHoubu+4ubmmrv1LWI0prbYyrDtNyida60/+emPOb+6Igq89533mS1abNfgSCiV4w5lNFQGjSV5S5hqJq2JKaEqm4lto2irCsFRG81yPmPoe1Z3q8w4lMSjqiratqWbzVitVwzjBGS6xnmf1S/Oo0TRVBWL+Zx+s+Hm4pJZ3XC6WDBrO675Aj15VAQ1TPRXN4hSLKuaMPSgNGom+M2W5D1VAhMiapyIfsd0s2JqDDF51NzmOrcIVUhULuJc5EhXmLolNJYv7i4ZVivcMDLqiUZl/vTm+UuWdYNGuHz1KtNPwDSOWcyhNHrwdMfHxGlie3GFiMIeH9Esjli/usR7jzaGfhhpktDMFpmSgdc84dcB327bc3Nzy8XlJf1ulymEIiio65q2bUnTRD8MrFYr1ts1D06OaOuKbj7j9vaaOAW8n7BYQJGSwvsJlCJpzW7sQcDUFqktt+sbXr54zvX5S6Y48eHvfZd/+mf/CY9OTzk9PuLu6or1tGWaRn70sx/xyWeXuCD8wR/9fY6O5iwXM1qdmf6IoIxCWYVNBqwh1ZZJZbqjbmqSCLO65mQ+Y73dQvS88egRbpx49uwZxmi0NoBwdtbivedufcdu/Yqu7Zgvlux2O3a7HdM0slwumXUt1liGvmfc9eAj33r/Pe4uLjnf7Rhv76BbYOqaevTY3YgPgUEu8NNEFGFdr1ESsIXfO7Y1Yd3z8vwllSjWmzUvX37Oew/+CNsotAiNh2EK7DY7PvnBjzl9903qsyM++8UvOF0e8aCZw2ZA1j2exHB1w8mHv0NXtfz4sy94/9vfRmvNL5694P3330crxeX5BfPjU4KyrH3i5YvPkc2ON5YnjFc3zBcL3nrylB/+6EfUPhG7OXTNbwTebwTfy5cv6Xc7jCi0MWidweeCZ7VZoZXw9OwhbrthmAbu1ivGaWTW1tRtjVrnIDSR0+5MM7ic94sh1YaIQRIEJcxPl3gVcOKpWo0GamM47jqsAi8J0zUYpTCN5U/+9J/w4ffu8N5zdnpG8oHd3YrZbIG2ZaOgkKghRmprmXT+OiahsRalNU0tnB7lTHY7jBwv5lx1LRq4ub5ieXTCcrkgIQxjz2q1Zl5VtE1L13Y0TZMrMGVDhhjZbDeMw4BSiqZp+OQXv+CNR4+ZtR0f/+gnPD59iE6Kl8+eFxFDTRgcD0/OWK/X/PA//pC/96d/TLKGy/UdY8w11aCEpulYzmqiWhBCRHxAGYU2FmUtpml494MP0MczJps9QFXXNG3L6jKLQsQaHj56TNW0KGPo5nOqus5W3lpmsxkpRvpx5Pzi4iDmmM0XGFux3u6o6pa6aTG2QulM2xxCKr5hbXe72TCVuEcKE5lSwofAOI0M44AYlQlbEpvdltGN+OCplCpVhJy6xxiRGIoCwpAkETRIZTKpmaDqauZxToiO2iisygBptSb4CT+N1G1zoHDeff89lsc3jOOQwwEfcKMj1RFszhgVGq01xsQcAxpDipEQJF+jNqA1x4sF0zix6wfapqGtK6xReDchkui6lm3f471nnEY6k0OL6rApc4ZXVRWI4EoSZipLN5vx4uqKccyx7+Q8IZFLapOj6dqcVSfFfDZnHCdW6zVV3ZBqQ9ptCEmRbMnwdc6Wq6picoGocyjjtZCMQZqG5miJbwxBPLppCAiT94g2JK0Qa+iWC7CGqBRVYRGyF6oRazJbYTS9m1CiCCllpsFaogi2bdBNTdI6n0drgsiBi/5Glm8cR3alhJRiIoaAF2GaJlzw+Bjohx1Nbanbhuu7a+62a9q2oasqTF0RY2Q3jpi2QUsWIdrakoxi0gljK6L3+GnEWs3JyRFnRwt2t0dEN4GfMt/nLcFaZJYL8Dl2VIzjRL8buLm+42h+BDPwoyPZAMoU4FWQhFAF2qrGILnurE0mwo3hnadPUcD19RWztmY561jMOtqmYd61LJYzLq+vGKeBGD231xu6JotiCRE3OcZxomqbTFukDLLl2Rnz+ZLNZsOnL17gx4mTJ49RbQNVzfLRY4ZhIInQtTPao2PmIpw8eUKsK7xV+K4i6Jp6vqA+ET7/9HPGAF4su77HxsgYE3Nb4ZsadXbMyzjlmNsKJ++9xcXnL3hxccHvv/0tUldlGmaaGIygNFRnx4RZTUoJc7pkXWp8s8ePUMbgxonb3Y4gibqrmT15SCMBsZZeC3HRMTWWNYEYdXZu3yThCD5gtMmauO0uJxMitLOOYRy5urnmeD5nlyLDbsvZYs56s+Z4OcfqLJ5MKbHarJgfzbHaIsocLGWaRiYXMAKdKOqi0lBBsEExjoFpN1JZQ/AR76GqK5KBpKE2Nf6NyGJxRFU1zJfH6KpF25apSL4UZKlQEZZaa7Plcz7TQSm7h+PFkt22Z9HOiJNDAUeLJUYJzk1s1muWiznTNLLdrGiMobUVbV2jVQ74E9krxBAK8QqrqSd4x8lbTzl6/LBwmIakFEOC2dPHLI1BKYPShp+dnzMOPU/f/wBvLL7SdA8ekCI4n0hT4uTb79EHzzY4hjQREEYXWatAvZhRLebsjJBaQ6o0loZ35sdUPmInGKzgjaC6lrVkGdb86RO8yu9h+dab+JJoLedPCc6jfeDs+IjFYkFVVQxWU52dIkrhK8sb3/kOMUa2Jbz6xjEfKeWisbJorQ/EYVaWjDjvGd2UiU8Rblcr1tsN/dDT1TWlbo4PWc1rU8QYm0s4ISApgAtoUVQaUj/ixpHQj7j1hrHvmfod0ehc8lIK5wKydzt1zXJ+RF212KqhaRpMXZO0IYnOL47KbLykrMDQBqMDXulDgTyFSKUNbV2zmM3YTBNaKeazGd5NDH1P1ezoZjO6rslUz9RTaU1X14hkUt17Dwp8iLnmK4op5l4H0zbUXSnEo5jGkRgiqqpQVY1SWXm9vbokGcPxfEEURRAFpspkdPEcShvwHpkUcXBFrBDYykSqG6gqvIqHHg6jNW1b0UaB6w3BJLzOWsuptAyYujqoXERrgs+VFW0sEQGt0ZWlWi5QSjHFAE2ds2MlmK7DFW1m2dG/kWj+SvApyGm8EmazGa7UXZVSVHWNEsEFz2K+oLaW86tLXl6eM593LBcLaqNRaIw17PoetOK4a5ncRCJiSVlrFgM2el5+9Al35xfcvniJDD6LCUIgJM/pwwecPDjj5d0ttmupFzPOnj5hOTtGTgx1NwNR+WZ4h2iLaFOEkwkUGFNR1T4z9T7shRtQlCZVVfH06WM+/vRzmqri8cMH/Pijj2j6HWIUp2dnnJ6eoLXi+cUraqM5WcxZjY5x2LHZrrCVYRwnRucZXMgaOWPYTi6X2kTwbjq0AuSX90iKWFUze/sNrE8spsCd8kw+so0BX+JKZRXb1V3p3VD025GYIiKCHzxt62m7gF60uUIRIzNT4RBMEauMxVgEEURn5fSm7+m6DoDNZkPTNJBg2+9y2aB4CLdaY6zNTIHS+BCyUnya8uauK+K2P1BUXxt8XdtRNw26Mnz6xXPapkVZy2q9OjS9bHc7ThYLlNFs73a8fPGSWVXz9pOnNNWMqrZUjeXy6obdOFB3LT5GVAhUzuNGx9XlNS8++ZSXP/+EabXGr7fEbY+RHNCbpmL1/JJnTcWgwcw77HzG1e2KB2++wfHDM6ouK26TSA6wRYhkoxd8zNUF73PhXuVY76DOUIKaHFZrZm3Lk8eP0NYwesfbb71JM+s4PnuA9xNVZTk7O+NcabJdFebdDK01zjnu1iumBC4koi6mXwTVVkwF7HbWMo6F0BVFVTeAsJ08pjJZdLAL6NpgdEIrzVCSNnxENzVh8rjR01Udzjmc90TJvSxhmqhjhUTQSbG0FcllzZ8VjZJs4SYXct8LiZhg0w8IoE2F81nSIMpCyt12xmZuV4rIIitzdK5yFdHC5HJn3De2fNpaTF2X2m2Vg/PSPwApS6ZMCdq1wsfApt9xt93Qu4mZzLKkRwtKq1wBWK+zaXeBcTtwc37J9atznn/yS1Yvzon9AMOE9QGrFMEb0rDL2jctSFejdy12m8s8lTFUWrE8WhQRee5H0KXdTwm5npo8CY/gUSpQmQS+qDhCwsZATaIzBltKdgKEGJmcZxhGKhRNY2iqmqqtQWXLb5rmoHiOIZGKrFyLzqUy8qaIpRlHKY2oXFPd10GzjD2HB1ESo860SiwiBpX2xaBYOt3Ap4CofQ9GrkykIEQnWO8xSqF16WpLWUeJFrzE101Ie3lfjLk7TRSVVQfplIjKYgGt0NagbbbWIb6u8YqU60ul5pzFga+Fql8HfFQNSVswFcvlMc45vPOYJBAjVsHjs1Pmsw6jFBjNZhq52W252q6ZnxxhtcJozdnpCUPfc/H8c7TS+N3I5uKO/+Mv/ndWd7e4YWBWVegUUSbw5OwYRVZ8XHz2DGJWaXRdhymZdNisYH2Hv73kg7ee5i4sJQyTQ0UBFKiE4AnimNKAKIdJgdp6CI7oPG5wGLIqWBvhk/Udu7u7nKE+e0ZUmm6+5NsffBura7rKMD9bEq1wN2w5Wc4ZnSPuBipVl26ciKXKGyLuRZlFO+cSTcoi0qxTmrJoVkMKjkDiqkkHCZQK0GYjhUvZurnkcRIYmXDicOKyxH7ymOCY7WrqpGgxsO0J2mTBbpUYvCfEUNohOMjYoOgWoxRBBUAsamWFrhSSW9qyvL+UHrNIIWs0FRFnisz+m/B8Sqnc4ONcKalplFKcnZ1wc31N3w+s12u+9cEHnBwdEaaRYRy5vLrk6uqKBycnVMag6gpReefYquKLzz/n8sU5n3/0GVVd8dZ773KyXNIaQyVQibCoKnCO0A88ffiQ26srVje3HB0f4YJnCp7L6ytuxh2X2xXLNx7z5gfvszw7JeVXijAAACAASURBVASPEpsTAfKuTiEQgyMGjwoByiOGoi5OntEHdsNETAltDLP5nOOTEzb9QL/d4Zyj3/UQEovFAmMMwzCw2Wyomjmm7kp9Oyt1rDGI0qTC+x3AJ7mPQqWUhRVw0NHFmFsRYyGVY7FY8V5PxD7kUeorOmSL2jzGmM8pgYQchJ77Y1863CeUUpTJe1FAuuc+99eXLWb8GwA7XF+RgP0mqu+r+3ZFDi8IlAtPNE2VXVIIjONI17acnp5ydXzM9cUFfd9zd3fHbrdj1rZUpZsrkXLcUFmqpqFdzHj08CFHiwUnR0tUyGpmHSNVTIRhwAsc6VOMNbRdS9M2meQOnrhbsxkHLq+v+Pjjj+hOjmgXM2L0iHqtUWOvQTtIx8tCF1rE+ax6joUm2CdVXddxdnoKtytu79ZM00Sve2LwOXlQmhgC0+TQNicwIXhiyhMIlFJZTcF9iVGRl8lBMVdI9tdA2TffvH7Eg8o4g64ovH/lsQeKSIbOvuE8lthy3yz0urG2dKmVc+4FtEr2oM7P3p//oBRI9x731AP5tRM6lW66b2r59jGGUoq+75mmiabKf5ZSYhgGZl3HowcPWD1+zOrmmqEfOD8/5/bpU9qmpq0r/DRCiti65s033+Lh2UPeffsdHjx4QFNVWK1Y3d7ih4HQDwy3t7jo8SlwfDTn6OyESmu22y26NBZdrm754c9/yosXX3D3V3/J8eOHLE6OEKvBKJRKRIllp5fxELHoDWPEhYB3E+M4Ypou30+BcZoQEY6Pj3lXKWxzzjh5drsdbpqojOGthwt0URG7yVO3+UZP00QQQyriiX1L4/5+7VdN8mrlb2MixVBUQ6VbrUxbyHHUXt6eF1trg0k5HtUlW90/hNcW8T6go8SceR/Ap163Q6AOusVflyRobQsAdQFZoWTky8IVKT/QqUxV+CY9HOtNTquNMWgjJXHLb2g267BG0+92rG7vGIeRv/e977G5veHl8+f88pe/5Gg+ZxoHmsqUXQVaK46Ol6QE7XJks1lzu1sRXM42rVFUywW6srihZ9r1jMPIFB24AR8mjBisssxPj/m93//7PHnvLf7nf/0v+cEP/hoXHX/wx/+I4CcCAV3pIoIEPzmG7YboHMp5KtHYuqZuOtAVoR/YrVZ8/4c/YOsD9fIYaVuc82ituby8ZDlfUB8fM44T3cxQNSUhMwZtcluksoLorIcL8V5wX9ynqOx296DcW7vXiy8gGgmBIIJLHu6to0hO4Ewy2Gi/5BZJWfK/P6/3HiU5Obxve/etjinmVsdfPQ4WVOQQbt0HtbI57iftO9teH3HfZPQb/O5Xl9fclOVRpdlGa5V7GkLIN1tgt17T9z3jMHDyzlucHJ+wvr3j4uIlV9dXtE3F48dnLGZzjNHEFHExd1vppkImg0jeRagssfcJVF1htKCtxZttjtFioIptUZooklbYRUM1b3j3vXfohx2ffvYJ73/4Pk27xNiG5AI+ZTWwd1NxTeTGHtG5NRFNlFz7XG82XF1fswuRuTLMmwZjNG3bsF6vc9LlPd5nN2StzR1kOteQUVIK7Lq4sL2De+2GssV5vTIiuRlIsV9wlcEnAqXvg0N2mQp5/rp5Z1/0TyWs2MNsX4YMSnKv8KELLdfGZW9N939XLPHeou3d8H1w37eMXwJ9/ir//Etu+WuCb/JTvrEqB6r7wNRNE/M2c35XKbJZr9lsNhwvj3j06BHb9YqXLz7n/PIcJHJ6dkzz/rtFC5hYbzcYa6m6hnY5L+pm8NOEnyZ2w0BtNXUzo9Ea1zWolDAizOoq68VSYph6RAnLdMKf/xd/zr//i3/Pz37+Y9774B3efvdDFkvD6CZGNxKCh+QxWmFMQy0aYiKGhHe5W22z3fLq/IKrm1smEdRszpHWWTyZEufnFzifeztcpzItUdVlJozJLQZFvKCtLVYjNxHsXWrGxevIK5YFVZLJfCU6x2Fa40uSEmIEn3WPMUWSioeYat8XcwBffO3iY4z4ApKgI1rFQzyo2LvcA8Ozz4N43W+TC7T3m4ruJzmv+b77bj+Dav/evjb4UjlxLBLpylqUCOuba+oyHKiuarabFVcX52w2K548eYTWcHtzxWp9x8XlJZ98+inL4yXHKVcRuq5DW0tSQrOcA0KMAT1aqtjShQWESHSe7TSxdQ6rFI01iC7dAjHSh4DErF45e/yAP/nTf5yH9ww96/UKUZqqqZl1HVoJkCX7hFA4PkAUymp2257z21t+/NHHrPsehxCurqkXS0QbXMihRgyR7W6DPFhka6cUY8rq7KpucgxG6c1wLqtAisXJAIklG37Ng722YLmMiFK5z6Msvk2JYcpVoeADURIhZvcWCt2hRRV5+69YVJFDvKZU9jL3gbR3qfez3YN1S0CIZbhQcbel/1fugTKEcMh89xZzb1C+NvgmN2GMwRoDUsY0qHyxibzLKmvp+57b21s26w1VVXF8dMTZ2Rn9sMV5z+3qjuu7W0Qr5vM5VZHBp0QZ7yUQBVsmOCmE4BzB5ckCTYxUSlMbjdaSXVAIVERizDP5xChOTk6YzWdst1uapkYbnS2dytZ771py5pdyTwl5NMRuGLhdr7m6ucltAQj90DOMI8bm+Sd13TAOA5NzhxseYrZmuiids/FJEAMiGinW7nWycX9353/uW5rXkVk6gCI/FCEoROLBvf6NbHL/ffHze9pElzBA6Uwe5wpHzC2o5XEfeL9KreyDhH3ysgf0lxKaGA/hxevE6RtYvn4YslzeGJQkjMnNJ1VVocjN1U3TsNvsuLq44PrqiqdPH7NcLnnjjTe4Ltbv6vaGVxfneWcqoZl1oPPskkiecKS0QlcaLRolOmfHpZNtvlxgRGFFCNNI9BPRO+p5i5sG/DQR4shsMefY5LcUlQUxmEKWppQoowTyQqusLEkipKS43Wy4vLnl4uqKGPP4r6nvczsn2bJ1XYt3jt026xwn53EhoK3NXqBUOnLfh6B0zJaZvDivgyG+vDhyj44pgXpKMStdCniMNgQdkRDydCteA+xLNM09rk2XURamJENKa1LMTfYpUSpWWbDxZZxkKmZP1RDToWc5X+6XARruhxQihHGEexTd1wKfCPgw0Y95HJc1Bt3k2XuxjAmbzWYk7xnGgZ/85CcYozh7cMZ3vvtdtsOO588/59nnn3F1fUPVNDx54ym7sSeJsLQtEnOwbnSOmSC7E2XqrFhWmnHskZSzxrqushomeLbbO7SqsU2F0Qti8KQYchaWz5SXuoz22FvVJOS6a8pDeoIIz16+5LMXL7har9k5T+5cjWhlsMaijMmFLslawLvbO7puxnyxZDFb0nQd3XyWi/yAqDytAXk9BOg+VXb/uG998uXmrFiphFZZoFq5Kc9kKQMgo0qoBOI9U4iHZvb9sV/4fWvr3q36lFCi0KLRypa5fhnsexpU60ySJ/IYj1jI6hDi4byq8Je/CkqlBH3gU7/6+ErwxdLcs6cI9i+uSkwC+U1L0bFdXl1xcXmFMYaHjx7y8NEjJjfx7PNnrNZr6puGm9tbHpgz6ipCJN8IctappPBIKt8gU6yjD1n1oUiIJFTKMyTMVGUrGHwOykuqliduFiuTEmWcEloy+btnAWKCQMKlxNXtHbfrdc7Ejck3PWXeTluL1SYH40Wx7EMoj8yf7TePqKzs3nNie0+bwZV+Lfj2LnQfzOcNkg40IImsR1RZHhUKxUEZbauUQkuZUFV4vvuACyF8SRJXnnZwqYcfHWI5DtWV+zTRl6xc/oNy+elggUl5yNDf5sOFvhJ83ntiVZU4pJRUQgDJRCcSGYc+y82D4uLyiufPX6BEODk94fGTJyQS3//B97m9vSOSWCwXLJYLZm0i+Ygm3zgt+jXVkKcRvo55vEEp0FmiAgiSoGoa+l3ATRM+Oox+XdbJgXepDMQ8lclYweUQMcfSKeKSMACvrq64vlsRRDC1JYWEd4Fd3+dJAqZCTEJJbiwPMQMvxISIKuGJJWmdraTO1Y+iZi111C8nBAV3efH27nLv0l6HfqSUDrGbMSaDL0RSGRBktCYZg5smRPJGqOsmZ9plo+jSCpHdY5aeueAPY3kPU0ULmEKKX3LlhzLdIdaNh+v9EgdIvt/f2PItFgvGYeB613NydHTw6ZBHsu7nf+z6kWGY0Fpzt1rRtDWfPXvG0zee8uTJE/7Zn//n/Kt/9S85Pz/HWst8sSRO0D3scN2EEY21ZdpmuZk+RmKIjJOjrqv8mikLKvfDCMUYtDEEY0hFAnSI6yXzWDFFVMiuKqkso8ryoIrgAsF51ruBz1++4nK1purmrPuR0QUm51mvtyhlqKuGpp5lF6w1wzDhnCcBbddSdy1V0+CKW0yHoD/TcjkveU3S3rdCh4D/sIBluqgPB7d2yGq1YIzOddp7lkipTPt8mRQuyWGRY3nv87n2KLkH9sPrl8sKBXT78+8TjrDnDu8lH/v68N7tkr461vtbge8wCrp4L+8DbnLU1iLFdWljcJPDB8+u77m+uS5VjCOOTo5o25YHDx7yxhtvcHl5yc31DRfnF1RiOW2OsMYQnEcheWijyryY3jPwFE6quNM8yTMj/3UmaPKYjXKhMSaUVq/J0jJfLqswitXzeWbK4ByvLi+4vN2w6SdM2+RsuMQ70+QOwgoh3+S6rnHDUBYIrK2yW1Py5Q2v7i3s/mcHC1fI5mI59rTK/imyR+7B5d3PleXgdtO9eGvvWveZ6OFRYrNUwJMOa3t4sYK4Uhbb0yfF4t2vbOwt394K3gev0poyTPqbW748tjXvoBhzp5UkaOv6cA9sVdP3Pc57tn3PxdUlIQbOHp5yvDpGac1yueD997+FMZYf/vD7vHzxApMUD2enEBN+cnmmrzaF2U9FnpNfQ5U6IrInJYqy1rzO5kKpgOw74fYLktl/kJCyern0dowuS86HaeKz588P4Ft2LUllrg2RPIjS+UMMY4yhbVt2my0+5ClS1tZoVW5lupe53rMkas+LsY+19osjh2uFe8SLSkj8Fd6NL8dfWVmSysgQhTFyuM49aO6rZSAPFUpKvlRhoSREB4CWeHbvcq39cglvD7wvJxr5fuWRE/8fuN2macqwP8fQD3mkq4HruxVGCXVV8e477yACN9fXXN/cQsoE6E9+/hEJeLR9wPToIW+//Tbz+Yy+7/noZz9ndXnHTLW89867uR4KBJddbF1VWJPl98ZqkvO5GwpIOrNOJRfDGIXUNsuOvMtZOKpUBxK1todMN4WIsRZB6MOEtS39eMkPf/xzdtPIEAJp21NXDUk0PsDoPOPoGIeJrdlmtUs74zJd5OlQISAlBpzGCY/GmipP6yzx2b6KcXBdIWRLTS7z7WOx7CLTHr8lo9zHU+FAKofg85QHEazNQzRFhKTlMCFiHEdijIeq1IECTAnvX7vF+4mE954YQ3mNeA+4r5MhKJMm0uu4DyB5jyFPsNchHEpzXxt8WmVr5I1hGvOMPVNUFC7l7HecJqrygSfjOGZXNo28Oj/PY9OcR5Ti7PQErQzvv/cBt9c3RBf49LNPaZoaH3yu1cZAU1f4pqFta7xTuZ5sdan95Dl1+SMfEqQyMFvynD6JmbOKSufPxEj5w0rUfoBciHg8sXyOyHa34/LmhmdffJGfLzBMDlM17Ll6X2Rju92OuqlKbPN64e5bGBcCsYCMexbrEOP9GmtwX42y91apxLdxb5Hift5dESBQhAVSFOKH85QB9ynPhL5P3+z/994frNpra1usmX/tUvMYtPw+9hbxcM285ih/NQve92f/JuD9RvApsiAy2op+u8u0Q5kLsn8T63WeTj9fLHJHVgqMbmK7XdPUNdM0YU2uoy4Wc959510uzl9x8fKcZ59/znwxJ8RAVVmCG+mamuBaVOoKrQFNUx+Kj8bkaoWoDML9VCxRgi8fRKJFESTzU847lDLoKBAiITqSMpiqyePfzi949sXzMosZnPf4mA5ACKVBfrvdsiidW3srsBd6KpUBkF3aPaL31yzAPrT7VVBkPrIAOkUiRUwa7mWdMRXapcTFGiB/cpGPIc9/Rr5kyX71cM4xuglfNIu/ViiaXits8nv7f4/hDjXkfR06qMPM519LK/1twXdzc0PXdcznc8ZxPCg6zs7OQATvHD/8yU95+vQxR8slD5884frqkn6XR6C9fPmSu9tbNqs7Xp494MGDMz54/32+/cGHHC2O+cHwfX70sx/z6uIlu92G9958SlfXrK3FHR2hS0PzfNblBEILVWVKFpc//yOpPKeEEEjel660lCsCAmO/xWpBl8+6mPoJdKRuZ/zkxz/lRz/6Cdd3K5wxZCYRxsllFXCKxChMY8563323xlaWGAPK2EPikvVuZaSu5Lou3ue+jXvlpz1ZsM9GgfIBMHsLsq+EkCeFxkgIHuc8wU9ZjiVZ4r4HbM47Sl9Hiodz7EExTdOXxKbTNOGLZVPlOg78Xtkd95MX/SvawPsb5n48uge6iKDL+/xGI9JIufPLq1DSeEWM+UNWVJEOJcif8BM8i9m8ZMCaGFR2y+PIzc0tfnLstluiz62WIQYePnnELz/OA4ZevPiCrsp9sLXVuGFDU1e0TfX/sPZmT5Il15nfz5e7xZpbrY2NaJBD2iyU2YgaG5M075L+2TE96okvmiHHpJEGogRwADYajepaMzMyM5a7ursejvuNG1mFLhDNgCUquyozlnuPn+U73/kOyvXoTOYIgi+w8aL5CMs4pWDwDL0wk1UynCAVqnciO2sQbeLBOR4etnz77Wuub27I8pzGyQSX6EMnjlq6aYy5lM3suHFJxgzkNRP7WEXygBuGE1ZRCs+aKf2Jo+HBcX1Aagd+wttIu8tP/vuUF+j99Hs/erGxwzEMMoylRxc8AueJMzj12P5ReE356WOPOTVMF8L3z/m0EnJk3w9RDk3FMNRRFLngZdayPxxE8sGHODFlGLRMq3V9z8PDlrauOex29E3Der1msV5y/vQC/Y2haWvevn/DclayqArKzNIdtiznM1aLOcF1ZLlIpCkGXEyitdZ4I90RhoAfJDcySrSePaL4mRaXGGQ109A7bra3fPv6NTe3t+R5QaibiOhLjqNDrKuVJnVyui6+j0xEgZTSwhOMlV8IorwaguBkPoYiYpdBgVTSJE8jcxZHUHzqBSfAyuhhJPcKk3saUKMRT8NmKhQTHJI6Hs45UY1IRqcF3xM4KJrxpKI+Mlw+JgqcVN7HiiZO6X026n638S0WixGYbNpufCMe6J0k6PPVkv12S9t23NzcMKtKGRqKMEXwHlMpgjV0Xc/NzS03NzdkZcbs7YIis/Rdy+u3b1DB8eTsjGeX5+w2N9yXBctFRZFnzBdzlqsFq24lhU8u23yssSJX4aW1o6Oi1uAGAoFFVdFtD3Sd3AjnFZvNHX/7X37Oz3/+C17f3dEWerzo9D26qOImHjEI76FzPW/evOHqyRVPnlwxn8usbtf343iBGwZspY8JeMqrPjHoM71pR+RNvKILYujpeqeDpsYG/zAapBiStCmnzJlUdPR9H2EYG4HoHHe01xOcLmhSxXNCUkheLYTIiI65YIJb3KSAUUqh/Odhls8an4nMY+cHFNJv1VoT+p7QuwjmZlhl8SYQgqNuenrjmVUFppzhh4Ft3TMERZkrTF5Jp2IIhN2B3hi0dywXC7ZNzXAXOLieZ0+e0IfAdnvAAsu6Z133dLVInRWZZVGVFHmsQEOQ2Q5jJMTFdVV+GGgbR98LPHC73fP167f87//P/8eHuqYO0A2KIYLKaM3gHNYY8jJj8C1hEED30O6p24q2nzMrK4E+uo6uFcMLPjB0A8pKDuhCiPvLxBuqJCOmESXXsV1JNL7jTK7RuRjwaE4G7wYB9L2PLT1DUOEE+kidh1QAJKNLRqQijhqtSVqbiTWTjMn3Ei1izpnmO5LhJSa0hrg8UKN1xCgV0pfmaOB/pPFpUa6NIK/si9XoINok3gfIZaLemsAwQNcNDNqLnEaWgzI0+4ageoIyVAgDOASPalp6wGSW+WzG7f6BZj+w6zsWV09kYV0/oPqeunU09UDoYGYtpbXo5QJfFuR5hjaQ5RlYQ++cDLh6xeB6mtbR9I4maL6+vuWXr97wX379Gx76gV6puGAv7p3VUrVqIyRTbAx3Dpq+oe1q+r7hYrGm7fq4O66NxifKpNZkcY5CQm5IlZ8WBo+0/RjzUmKnQ/BAIW1Yk+OG9tiBiKun+l7UwbSOLTaOvdZkeFMAeFrcOOexcSdHjOLiFbWsrO3FQuUQehk3df2AzXRkWatj5yUeF6N0FC9Xx4PyeKjjjzG+NJfa96Iz4gYfoQstYSZS61FqbErLKqaBzWZDVVVYY1mtVtSHHbvdnq5pefHiBdoYOidzvrnPsXnO2XxF03Ucdgf+6//7C54/e8YPXr5ke7Ph/vDA3XBLs9+zqErmRc7d/R3zWcVsVnF+tsJGHlnf95SzBdbmtIeaXdNRdwP7buB/++u/5le/+Ya7fUMHBCNyHNLFSCukEEyw6Sh0jtPQDy2+C7jW4VoXiw7RP2nqg5BMu448K2OhEG/wJPNJBmFjJWi0RVs1ydXEIDUKa8VrTdnkaYgcjq2uzkmVGWDUv07IxAiVjMWAFE86E2JpGnyy9mgGaZRyCrVMDVgr6dpIkNAneWAqkrTW37/DMZ/Px1MkiLq0idwwjG+obVthccQqyBrZUN13cf5VaWyRY4wsj2mahv1+jyozisKyWAkB83CoZUettlTLNfXhwPb2jm+7gdViIZW1Cuy7Bo+ndR3WK6qmZnYocEGKHQ0QPA+dJxiDD4qHuuVuu+Pvv/qaf3j1mg/3WxyQlYUA0kGm8lM7z2jZ5et7R26kjxyCimHW0TcdIGpdShuatqHtWhk14AgUa22Oi/VOoArGP7U1KK9ilRrXCKQwZ45DQbJxSEB3wtEDJcLnNMdLOVgyvKOBiDfOdGSlR2LGCPsoNUa4ZHiZsceCZNrqSxV5/L2xOFEK5Y4A9h9tfHmeU5YlQ0yqJe5DFz2eUkoWpajjrKi2Qo1yQz9iV6nU906Yv/XhQKZKfFFQVMIObtuWzHiK3FLlBUPd0tctd23PYjaLuYSi7oRU2QeRg637ln3ToJQhMwarNZnWNLaTitsrNrsd769v+fkv/553t3fs2g6vkVabUiJuM+54ivslYj6mtKybAk0fHGEIuG4Yjc/YbCQfCNYVYifCi0jkpADwsefpFCeeRRRUk7eUHEpuqtD91YS6bqyNUEsM5yQvOKU7iYdNs75HpnEcNsoMJnqoNPmWWDNHI4yVvjnmeuNjPDzH1z/5JyXdnM9F3+/G+aIBzhcLkcEiAa/SM8yyTHCj1FZJyajWQimPJ73pWunTGjlJh8MBP3RkZonJSnJjWC3WWA+hdewPW55dXGEzGahpD7VMoQ09eZmzNAZVGFSmRKq2feDt9Q2lzSisZVHOOOQZNYH7hy2/+Ptf8e56w4dNg8kVqjBobei8SEiMMynxYpmxeyycPqs0ZVGRdy25Nmgn7bqiKJgvlrTOMfRxEyOBIYZCG1UCfLorqRVFXI4zwd/SjZQGvXRMfGRvuyCE1SyzlEEUG5yPCxQHE1UWhpGJQjRoEJyuHfrj/dEWE430aLixrxsn5Mb3oaXLNfWeIw4Z7eMxLBRCkGo3PGYu/iON7/7+fjQsa60sYvaBPM9H9DzLsigqeFQ4kAHoEE+AALTJI+Z5Hm+C5/b2niovsbO5iA15RC207+iaFmtnzKuKptdj52C727Ova6zNOD9bU9iMclliPeA8jXM83G649Z5tLyscXl8/sD/0ZJUVnmAIBBe3cWsjoS/o0UCMNhLiFDSHHcoYclOgMlkVNURZsSzPKGcVQ93G1nFM+sMgbTH0uF1yrDxVWiwYtwCpOOeb6FcuSn0YOdij3AVHsHiIeivDMJkak5xIcLsIBKaUqeu6aFDyOiM1yonMMUi+GNzHbJQUUk9DLMDHxjX+DJ+vdD9rfIfD4eRUjnlAlo07N/I8l8ooGp9zwzivIFjZBLnX0hqSVVkdTd3S1A1VJhsfizwX8R5jaJsD3gmkkGUZg/dk3hG6hrppCV4MMMznqKitHFTAMbDrdtwcDtweDnz4cM320OM8ZLnG9z7OQYQRoBVvLd+PN1krjM44eFENAFHpROs0GnvsdLTi8Zx3Ak3FwgEduwlhwrFD/m1wYqAANtjx2krOFzDKjAQAH1dKhYkxOOfH/voJrT3er9R1mGJ9Keeb0qKS0fR9L7MufKLvPDG+Ey/3+9I6Fbnvnyk6PisIPrZPnKPMS4qiOAEYx9ZQPE3pdKZejVKy3VDJO8d7T5bnsq7UDdxdb/DtQGEsT37yE3JrCG7g3bs37Nuaw7uaJ0+vqKqKaj7jxcuX3G+33N3f8e2rbwUW0YYvvviCp0+fsby4JFuuefMPv2Ffb9nc11TzGRmK++0eYxPUI5QxYsvQ6HRTICBdgERXkgUOnnleYjILmQGCUPtj1RiCp++FxuQAj3w+rWTVQ6o+EyrgUm7mj/MbyqTuR8CjpXiIxpeMbnCOpmnidvYjQWA6o5HuRap++7i+Kj1HMsqmacbfGYa42Ty+RxPxSacedTA+YWjHb9VJtfu9pteKyEoZ+p6u72VGYRKGx9nNmGuEELB5FmcHRPNYEUcjI1Zo0GP4UbmLEEXL7d2G+fWMxXzOYjHj2Q9ecNjv2W0fRIBRZbIPBMV6tmCWlyzKBXcPW3b7A9++fc9mu6eazVitzyjKGU+vnrLbxYXM/RBZI/J+bGYJ3qF0IDNWYAwva7wa7wghQ9sSbcUgnPLki4pZVTGbzSjKAmuz2GLU+CD7iL334zywkAnCsTIlhqNwhCnG9fJaR5hDbvrgXYQJxSMnDK8fBrqhp4u95kR3T9Xu9Gu8+er4+qKGKvlsKiKTpzQcWdVKC+nhcT43Db/pvaWZm/HnYmH1vXq7KbymKi2xXKeDxlSG9wAAIABJREFUwyMKf3IyIpefkaAhp16pOK+RYbTBOOlABO/Z7XbcbDZ4FSjmBcvliqAD3dCNi4RVCGgfyDJZwFIWM2xWYOw927rhbrfjoa5pfSDP51TljLP1Gd5t8A5UYUYvIvtzZYJOGVmoLKiGZxg8xoD3mXijIMNGJrfkVUm1mEfCq5XB6wiJDDGxT8uqnfdo7wmpxaYSf1iMYcTJ1DEkSvHDpECIRpCu/WR+4jEN6nG7K92TUyKoj6KFiu4RDT55Me997GmHUS5uanwjtJIYvo8fnwjR/2jjS+Cjd45FNaPvHbt2J3T3iYH6yc8PPmFMAmAqIDgvU1/WUlUzqqIk94G87CmLnN1hx+ZhQ+t6utBTrSrKviSfVTyfVxy2W0I30LctmbLkJifXGXmRMXsx5/mLlzz/wQ/5+vW3vL255pdf/4ar1ROWsxU/+eFPuLy4omlbuq7j3Yf3HA6yhTIvCiDQNTXnF2cR4JWw5hwMQ4exmr6XhS4ej8kN1bxksZhTVSVZnpNF1m/f9wyuR8fV9f0wgAKrFLP5fPQEqc2V2gw+3rDUO423TrDNCJGk3C7laemRyAJt247e8DhbK14smxjiMAwYrfCK0bC0UuL99VEUMhnPCel0YlRHbA8eW6CP2OTnHt9pfE1dY7RmvlhgECA0FRld1+G9JzdGNgR5z+FwGMMuMG5QLPNCJqjixTNak+eW1azClhmmzAgGHvZbbu82qN+BUoHz9Zrz9ZrCWugdvh+o9w3D0MfqzsaWmEA7T5/IOqem7ajrhsO+4d31B9ZnZ8xmFZdXl5xdnNG0DQ+7HV3f0XedEAPaJlKwApcXZ8dhHBXilwc/kBnFfFZyfnbGai3D4rumZRh6QtuIAmrUBExY6PRGnORPCV4Zv9cMUSe6H2eR+cirdV3HMIgRZlE/J4SAHgTUT1uep5Nt8QVjFEuR+NRo0mhmUqNIv/t4gCh9Bq01OkgqRMyZE+tGoT5rgJ8ZGvcjIwIvpb1Sp9wtIO44O2VIqAkWJG5czlQK08YYsrKQ/bIGvPIMsU95c7thtViM6vDrWYXKIAyyRjX1QfWkoDfaUpUlfSyMNvsddS27Lkwm4bOMyqZ5mZOXRUzIW3a7HU1TSwXvPXlmjyzfzMoCY+8wCpldyeS1ijwny6J39wm+8GjtQR9FdZh4jrGAe2SAqQoVrE6EK9XEy00nxiQVElDaxgLGhoCJLcLg1YmXSvdqLDg4pkLTR/KCH/1e/Pdpp2ZaTCitUVHAcnxdvielqizL8Q1k2uCdTLBtNhtWqxVlVYpmSWSxLhYLDnE/2WxWMqsqvPNs7+85O1thYk946HtckUNuyfMKOy+Yny95+aOXvHn9ll/9169g+Irt3Yb9wwN/+c//JWWeYyuh6+/2e/aHWgxDRxkLPzC0PUPTUdmMd33PoWupqoqvX73CB8dqNefi4oL1es3zp8+4urpEKcXhcOD25gP3d3e8e/eOevuAtZbZbMZqNqPVmtoPzIym0oqCaFiouOP9eKGHYSDLvCwxj4D7lFWSKs1pPpZIumnwx3k/Dm0nfFApNXq9tmnjAbbj+GhmLc556CD4ntYNIx0uhDDqBY68wGlIfdSjHY1qCpnEwjI9ZzoIqXofp9f4Jwq70yGUQ9uRWct6ucL18gb6rqeaVai48Lfv+0g0YIQFFDBbLgSGCVBVFU3XYlrNQomBBu/p25bVfEZmLKtqxqvffc3+YcfrwVHYnBcvZAC9XCzItaLXmqBkeLvrOxnvHAb6pqG534nkRmFoXEswkhx3buBht40cvIZvX39Lnucs5nPmVcni5Ut++MVLHu7upFsRvGzjjgNEF2dnPLm64tnFOYvZjCzLZGwRAJm3aJtGwGibo5RM5YUAvvcMYTjB1+ItJgQ3gvay7duNLbIU9lJxN8T3ZbQhM/YkLOZZh4/4Xxik69LHNuc4SG4EVlKphxsAPJjj+5kCy6PXS+lCKj4nXvykfYdEMSmfvke1Ox1A0QGyvCTPTJQCE/FspZTo9iWSQRyeVuo0bOtwlHxI69D3XcP64oxMG5hVKO9ZLhYsipL9wx1NU9McWj7c3JKXFeViQbVekVUz5llGwOD1jmF/YOgdWkEWCQLSppdWV6o+B+9li6YPEXeDIs/puw7NGbOqjIv+5ngXja+sGLKc0lrW8wXzsqQwJgLFvfSAYx4ldKxkNFJNJ3kRSTeEuXLsEqQK+2McbZroT40hVaIm6rYI2zpWz0qf9GGTYnyqfLU2KA8kZdeQmMtJZ+WRAaR/nxjfpzzk+PcJ89Up6H6PnK9pGrpGuGpPnjwhz3Mym7FYLKhjeO26jsVqhVIyMISSLkaiA6Wv1WqJVormUBNCkPHKm2v+9J/9Gc+unnCxXPN//Me/YZYXvHj+BVVe8Pr1a169esX9w57Of8vNdsfs4pLLqyuerVfkecnN9TXXH6759S9/xawqKfKC2w83vG721F0rE/0p73IDQ7A413Noagqb0dQN95s7bj58oMxzZmXBcjZjXpasFnOy2GEpjWY9L8lVoNvvub25kVxSG/p+ACPMaq0Vuc0os5xt0+Fdh+oHKGUFrNYGpU6vTaoejckoCoMeepx348FNBzYZUp7nWJtRFOXYXTrpQqW8G4T97JP0hYfQo4ockPegtDnmdxzThwSvTT3fdEh8lFd7lCOCAPUidfw9PF9d10fEmugJw/GDeu9pmkbghjxnuVyyrw/0fUeei46fUmoccNZaU1WVrGvyPYe64e///lfsH/bYn37Jl1/+DB8Xzfzzf/Xf8KOf/JS3b9/yH/7T39AOnm3d8He//HuePN3w9Pkz/uqv/jvpJijFi+2ed6/fsNtu+eFPfsRDptE3N7z/8H6U9pfQ1qOV5EjaWFFMcJ5D047DQK4fqA8HdrsHzpfLqJalaA478iwjL3L2374WYNgYnLLovCSr5nibk5dzitlcoKaoXOXiIdBBEnQJXZ5hbHEx6YAEXOyfA2OOBYyH2oiOmaQ2E0+nEEqYnTgANQi0EgIiAxy9sFS2RwFxJl4zPcYiaOJBpe999LgnlCoUskvuO+3u88Y3DAM2JrQCm+gTTxpCwEXvp7SmKAqatqUfJA/IYji2WUYaHTTGYCNXzvWOze2GwmSsZgt+8PwFznTsux3FbIbJc3Sec/Xb33Joaobg2dw/yA21Gdc3t3jnsHmBtpb7/Y6bmxt+8MUXLBcLzgfH5ub2SAFCiYaNluEo5+J7stlYYdZtF6EGh/eDzI9UFVVRYVROkQu+GETgSSRu0bhhwDcNTS1Vs3eOENKAu0bKwTCC9R+HsSMon4zwpIWZChSlRlxQZnrdsWKeVKgj63zMCaWb7TnKdWglW8j9d6mdPjLE9DpqYngf/xyMeM53PL57365zFFlOlmVsNhsW8yVVWZ28Ee89h7rGec/V1ZVsI2ykdaO1LFJZLpds7+6AwGI+pyxK+fCHwP5hyzeHhg9vP/C//E//M1obeqV4f//AcrnkyQ9+yL/5H/8dv/n6a377u29oe8/mfkfTOR62f82XP/0TLi7Oudvv+ep3v+PVq1e0BC6unvHDouLN714dKeVFTtf1gOxF2+/3WGu5uLigaxqGoWPfNOKxovZz3Xesztc8++IFL58/oywLiiInLxc0Xc+habl92HN998DDvqEfevo419EFyJRIs+lIEE0ezMdwGQlw0S6PRiljmcdqNctEONMYw9C2uOAgHGdlR+8DkyGfI2cwhefUtfBO8niN5IrJ0NXUkOM9TpjnKTH107nqWE0frfCPM77UXusjJadtG7zzVFUlbA6jZfQQqZz2+z1Ga4oip+/bcQLLGsPF5QXeOTa3tzx78pQ8k1VXh0l/8evfvWK5WjKbz9n1A6Ht8FnL8uKSv3r+gn/zb/97/uPf/g0fPrznw/tr6kND13aUZcGv/+HXtHjKsyW/evVb/twWnC/O+Fd/+hd887tXbHdb+ransFkUttRU5QyU4lC3zOcLiuDo2pqH+kDWG+ah5OzyDF3m9ApqP1Dkc6r1kvYgrTRtDIvFnF3dcmj7uCBRdpf0UX3LoDFxyDxJU4w3EBDVmWPD33lH7/oxr/beUxbFaGCiwyJK+glqETqb8C2PnpUTb5j+WwqNU2aLtD91VNW3Iy6bPOfUwJPhTatemEi9/QEwy2eNT1z8MSGWMDWMp0PHN5tggsPhQDWfiUJnPCmJWVEUBQo47PfywtrIVu/Bj1Jjt5sNylpmqxV132GGgiIgS51Xa+bzOT/84ofkNqMqRO7i/v6e3cHSB4/OMnSes73fcLfZkHvN2WrN/XyB6wfud1tsLsKNg09QK7LrLFaDWVHStDUuBIYQCEZUEbxWeA1OQU+aiQ3giaqliZ6VaIGnYtk6VYKc3rAQQqRgHWnwgxvohu6EJJAMAYge0ePd8TUkvzt6z/Q+FMfQmGhu446WcDwIwzDQ6/4kvKdccErRmvb1HxvflLr/OYD5s8aHJ24ajwl7xJCm1ddyseRh+8ChaWjblmo+oyjyE85fH0mnVVFgjWa/3WOBi8UK13vqrqXpO959+ICtSp7al9zfPaDygoXWKGMJSvbk/uW//EvaP/tnPNzf8e//13/PYV+DUVw+fUKvPLu+oVeBb199S3Oz5b/9q7/iydUVxlge7rZkWpbxDUMvHRstUNGhaSiKjPl8RtPVaOEXCdirgEyjMkvnB+52W6gHCMI6VnkZjVj0oJ1zuKhlKNWkimvvj5XhsQJ1DHHZdN/38nvDQN0dRsNLhILkfeTnRCNZKRkIFyOSRn8COhRS3FjUyDoyccTVR8/4eI1BCr+JNAHHNl26n2kWeayMoxikRh9p/OF70ugHSOJQ0teNQy67w57gjr2/zFhpf/nAbnPPUBacL1fstltx625ge/+Aj814m1kIgVrB4vkF7v6eD99uKJTj5vo95VeW9foc2ob6bsPi8gqrIbOag++ZLSrm84p/8S/+Bb/61a94++4dJmieVudcvlhTdJrt/R3boeH/+tXf8dOffsmzsxfc99IZcX4gKzWNEz0VqzP6oce1A4MJPD0/F42UtmZdLrlanvNs/ZQ8GFSnwCvm8zNAjOr6/oHBgc1KsBaT5+RlydlsRuccQ/AMrkN5PakOhdTaDQNt20UjCCMBN1WqcPQ8yTD6vh8tLDMZHkc/HNtakNSzAlm8dzrIFFxhQZOJnG8EuMfCMYAzx1FMrTV66Md2XkAoc1ZbeaUgQ2WpjZuUwcLQnWCEf5Tx5Xkuslnx1IXohmVo6OP9DSF4AWwVzKpSJGRjMtv1HYUrUFputlR0SqpoayhnFV3Xs9/tuLm+YTFf0ncdTV2P9CWlEMNF9IT7fpAeZ4D9dodeLsmyjKuzSzSeQ32g6Vq6oaPK51w9vcK9f0/btNEIUuhLvefA0PeY2UxyH0qqoqDICjJjj+HVg7VZJIwmZnQU7R531cnUVwKhQxCKaaJNuUiN6rqOrmsFgyNCLeqYaz1O6lNoS0ZprOHkMYbCI04nVW0YwfePug8xBDvcmGL5EEYNl+TxlFJoayV9iNCpn4TcMYw7qaa/F6VqtVqx3+047PsRNvGRvVIWBUVenLR3PEfXvN1uWSwWZJnlYXsv4WM4toyKImexmPPNN98AiufPn/PVV19zf/9A3w08e/Z8THAXqyV5IV2V+XzOdrvl+vqab377DU3dkNmM6+trnHMsFgtevHhBUVq22wc2Dw9st1uU0vz4xz+m63ru7+9p2naUmHDOkdsM4vsfhoGqKFgtFsxmc7JMvFBRFKMHSgJCI5U8XueyLMnzfIRKEtOjd46RbgJjq+zQ1HTdEOdeBK7SRseNlkcJipRvJebJaHyRdjWtoqccv3S9pwaS8sJTmz3F85SZrGaYULSy4E+eM8RcdcwJnUNzbMH90cYHAlimi5lerO86nPOjXt+0AZ6UM4+NZ9k6dDgc0FqxPluNYKTWltVqTdt2skq1LNnv97y//sBXX33FbDZjNpvxs5/9jIuLC5bLJbnNefv2Hb/4xS/4D3/zHzHGUJYlVxeX7HY77u/vaduW9XrBYjanKErevX/P5maDVobVckme5dxubmnqNgLnga5txFs4T5vXLKqKq8tLri4uqMoSNwz0bccwCC39bHkmng4T53f1aKDaCFevjxho2/eyYl5MBjgqiIrnGyCoEU4RKvtxw890/vZTN3TaK54m/+M9fESxl3tzqrWc/jy2yiasFfVxrjp9vXSvx3/z7uT3ft/ju2c4IntCZhSOLZgihuMhnt50Ao9UG3nRpOo0m5W0XUcfk+d0Mbu+Zzabo7QI7pRlOVZ8t5sNdVPTth1v377D2oyqqtht97x584ZX376SzoH3NG0bB7cld7rfPpDnhqqqmM/nZMbSdh33d3esVmvKuEFJI5T63FiCjmHKBqw15NZSFbK3rShEptdoHXVYIqUrhr3EOvHhSKNKsMmoBBqm7abTcJr4mCesYk4ZyFPjePxIhjbt/07zxcePxwD3p/77RBZjYnxpGXYy+Km3TJ8lfB5fBj5jfLvtlqqqpHPRNGMOMZvN2O/3ozRDHsV6UphJb7ZtWyBQXZ6P8hpdJ/vcBic7Li4vL1FxhcLI9lWKm9sbirygaTp+85vfUJYl6/Wa337zW371D7/mq9/8hqdPn44bza9vb8cTvrm7QxNYLRc8e/aM5WIF2y3XHz6wXq7IbUYYhHFjjaLMsxGUtVrLguoypyoLlkuhzJtYVRodpWiDyKGl+WWiQaYwmA5mHw0w9V9PeqHquGsk5XvJeMcc65F3+pQhpce0KEm//13Gd4I3PjJApY7VbHqOlCpMB5bSIUs/p7QmuCOB4rsenw270xyn7zq8c6xWK4qigABD9Fgpx0mtnMPhQJZlOCfzGbP5nKIsTk6pc57DocZay49+9GPevH5NNZuzPjun3tdj7/jN27f0w8Crb79lv9vx5s1b9rs6GjfYrGC338kFU5JMu7Zjf78FB7OqEq+525FZgSWyqGyV8pSmEdb2rJoxvzxnuVyxXC6pqpkQFrKMrjseQBsLCkegGXoxPGtkcTSSpPd9P7YUp6xkeNQy02lqDYjYKo9YLVNmy2OPlTzdcRfwkY2U/n7KhJ4a1PFeHMPmNOebGnDXdTjCCP9M880p9Qs+TyT9rPEl/KhtW4qiGAeM078pYBeHZqYUoHQaijgjcTgcqGYzrDmSIgPCuEi4YVHkPHv+nO12y2az4eJScrjD4cDDw5Y8l9nem+trDocabfSxqR4kWU+ofmZNNKiGm5sbFssFNsvHYfcQAlVVRQbysc8pz+Up8lxaaHEkUmtNWZZkmTmuA9M5HtFDTiOmNssoy1IGirzQybUxcpGdOzGUI3T1+CH16Hd5usf535TlPG2TjczleD9OwuN3GHMqktJzuMl7JzqYkcP3+PdCGKmB36vgKMuSw+Eg4HFViaXHD1AUBXmec9gfRmZuks+YCtWgFPv9nsvLS0ys4vq+Rw0OYu834YU/+clPePv2Lbe3G1588ZI3b95we7fh/v6Bsqwoy4o3b98Jop9l0i2IeOM07Gd5jhp6+mHg3bt3HA4H5osFV0+fjmFjFWlgKTzlNkOaFJ6yyCmLnCwz4zK9siyxmezbdc7ReU3bDzRNR31oCEBRyC5hh6ZzMuhtjREgOvZqgRERGPeacfQUqSf6qRuXbu7j6bSp8aXrP/VY03siryee9ruQOFnJINcm3V/n5J55c0qjP+1wSLGE+v0H6A8yvjzPx9A2DINgX8bQNM2Y6+RlwdD3hCFET/eonxxj/+FwwBjDLFKqPIFgDHXbUM4qgVPKgucvXlBVc7766ivOzi7wHn779dcMwdN7x9MXz7m73XB/dxeNXRi7h0Mtkl9ZhslyXBzA6b3nbrul6XuyoiDLMoqiYLVaMZvNyDKhy3dtPYbToiipqorZfC6VvrUoa1BGZHk1UOQl6J7By4iksZa8nJGXBU0vmic27mADJTMZj0LdtOA4hrgUEo8khGl4TS3LaQhNhtdFRvnj3Hv6HCEEPKkojDdKyYoJpaVoZJBR0fR76QAqpURzZyKr9thzOifrYv+Qx2dWnqrxZqUWmVZqnIJP0hlpE05CxY3RDMOxJ2ytPZHvkneqZAVVkOTWmgzvA7PZnOVixZs3b1gulyil+Oabb8aF0hfnl5i4FdJ54ZbZLBtB3RBEcV0W40UhnpiHtF1HiAZmrGGxnFPXogyQNIvzIkOb44A16vi9igZksowBjcksmcvR1mCCQtuJSjyMM7hTwzkNmZNTqk4NMIXex1+PPdw0rE5ndqcY4bR6Tn3X4wBTMn75N620UKz86eumfC7hjI/xxWR8QFwy83lywR+kUqWUYnt/L83mGFqTxL4UFbKGwHknAGmweF+PFY81yfi6Y6LqA27wKGTVqdYGN3iq1YwnT57wi1/+cuQIJuWEzWaD+ZlFawtKM7iolpUbsr4f2RRN05ApwctsBMe1MbRti9IKF2QL+XK1AhS3NzdUZ2vKMqcoc+npekc/iId2IX4fROojzzKGAbSxZAURn1PxUBz5elpJ+22ajx3D5cT4VBRW0kfjC+HUaOHj8JrC97TCnWJuyfDGEc50IGLRNIVjUmXt42bMtFIhrV9IBpj4naeik5MQG8KI836vsLu9v5fcbpLLpamuEIK02dLonhXmcmobiRHUQOD8Yh0HsY+6IihRH1gulyO+t1qt8N6z2Wz41//6X/N3f/d3/O3f/i0/+MEPePv2Hdcfrnnz5g1aa9brNZvNZszhEhCeLq5V4N3A/d29UIScpx16dGbpnePQNDF3NCxWc6p5RZaJR+yd49CKoGTQiqbvaPqesihEM2Y2w3lN1w/UTYfNMlarMxarc5kBdsJU0SkqxJudQOR0eEP0pKJ/Y9DGxhvu6Pvu5Kam658Kh/R9Ez9HynsT5poeI7F0gj8aHRcb+uPwz6cMPRl4WQrctl6vCVqNXa70etOqXOxPxNA/tYTmDza+9AZSMQGMBjgtKqYJZ3LHSUIiiUMK599McpGjtkh6nlnsqabTbIxhNpvx4cMHtDbMZnNubm+4uLhktRJV+ukHTN/neS7Cj1lGNetJ03QuFiHJQ9s8FwaGFm0UE2QV/L6pUdZQzmZUwwzqmrYfqKqSWdcxHwbKck7TtuwPNZ6AsZasyEdvIeLYmhDcOEQ0ZbIIzidqWFNsL3WIpsTOx6F3+pj+92No5vH36b8T+WC6NCa970+151KhqLVmeLSH99TowriT+Xt7vilGlPqawzBQluVH9O50ilIhYib5TzK+ZJhT0LKua+bzOVpLGw4EnJZ+rBJg+be/RWnFYrXkdrPh7OyM+XxOVVUj4TLlet77+PpSHM0WIpwonQYZzHFeSKDiqQUA7odB8kaj2R8OoDTzRUM3DFGGYktVzZi3HW0/cHmZ03QddduIEcUNmNMKVoqGMHY3pqyU0fgmPdRjLnfsBE3vxWNDG0PlI0wQjt2Rj71SiIR68N7Fr+RkhAEzhVFSpHo8e5yMa2rY07Rg6kX/KONLFyyFxLZtR081Rd+nHzZequjqZbSvj0B0Edm4Q99jbcazZ894//49zjnOz8/J85y+79ntdmw2G1wEtKcdlZcvX4JS3N5t+JMvf8q3r77lw/v31HU9Gnhd17LOwMp4oS0KilnF2cU5WkERh+F1NBgzORiHQ0PXDShVc31zC0nYyBjqbqDtHb1XzOZLqlnF6uyMpvcoW0hlqzQqeoD9fo+xMqzURsGlKQgsUSNqGoa05Ui8UbqZyeimON3UMKZRaJqDTRlHj403pUaPDeVoPKeFRBaZOoHTdtpHz+lE5auPwuyfe3zW+NJjanB93wuZMPZWhSepRhDXezdO0VtrRpgmqZ/3fY+xGbN5xXZrGYae21tZDhOCzH/UdU3TNKPhJ6a0MXrMiS4vLylLgU8e5yAnwGjfCfZUVQQnRIKmbWUeoyxZrVasVytAvG5ZCaa4Xq+ZzecihWaM7NYtSmyWCanCZphMNm4GZXBBsWt7fJA2Ux5vWPJ8yVimN08M8ehV4pUnUZJSKP6U8U093wl08wnje9xZSvLGH4PM4hHT90db4PeSDZLxSY44jBX192qvJbd6vEhy2rpOkuxkfEopiJVv27YjY0I2cOsxhFgr24Ja14JCaFllTghSZFxff8AYS9u21HU9SvovFgseHh5IgtvOyZ9ZlpHnxTjEPoUFZGDb44NmGPoIfhqGriV4T93UsWshBdTV1RXee+7upUCZzxecn19QlGX0jKLhVxQFeVHSDwN2GLDOsawqXFD0LjAcGtAy02ryXMYU/XF4ftoPTYxnlSTSTmCW46F/bHzTUPo4X5x2Nqb38SO4xp+mTUeDSnngxx2Kxzne9Lmn7xPvR6HxP9r4kpomyAxvWZZYa8dFwumtjV7RWqxzaK3QOqfIcpSCwfXjUIpomYioYts0PHvylL7vORwOvP721VjYHA57tNKsVys2t7cYLTO/tzc3rFYrqrLk/bs3lGXGyy+e8/7DW4ZBwNBEcUIr7KPT571Qwbb3D7R1Q9s23N5c07UyRJRHid48L1mt1qzPzsQTzuYsFishuDYNRsvnH4aBuhaD85GPhzIEJUsRk4hSGvSZHmjvk371URL3WHWeYoOfCnWP8+0pvJJ+7lNhd4rBfez5jpDJ9GdSPm/0UZPltEg6QkmfEiH6RxsfPsiYgjodmyuKYlTETH2+seDIMrQS2lH6AImS1Q/DSEywscFfxaZ/nudj8VAUBVVZRI9w3KJjtGa2WmGtpYtGsF6vRdBntaKpG9zQ430er5qiTwufJyCpiaHKOQcBrMl4uHvAu8B6bagiS8day3q1Zrles1qfUZbzESYxWjh6zgeCzmidxw0ea7PjQFBsRz1mJT+uPqUdpU88yLSg+5THmVbOnwq7U2P69NepQadCY/y78f2d7lhL8zzp80zhmscG/b2qXWAEI6dPludS6bmYy6UXHIZ4l3ooAAAgAElEQVSBWfSOWgsLIoQg/c2YUPfOcXFxQZbZ0fgSIfT9+/eEEChLaW9NIZd0A5fL5TgR13Udy0idPz8/57r/wKE74INDeRWxrCGKU54qwovXkZWoeV7QNC3WWBaLJdZYUSbIc5arNednF5yfX6KteGVpurcMXhjKu6aXvSHDIGC5S6FL9GnSEpVkGNNrOZVRm2Jt0xztU4XD9MZ/Onf79Jf8bHp/UybLKQs6vllSb3fU3Jl0TT5VfCh5A9/f+MqyPJ5Ejm80z3PhqT26OMMgAzkCcyjqusY7R2YL0gRW17Xj7yR4JRESvvnmG4wREuj5+TmbzYabmxus1SOzN7Xq0nPsdjucc3z55ZciMdbH5cbGAoquc4LBWYtVGrIMQmDoekyQmz8rS54+fSrtQ2C1WnJ19YQffPEjnl49I88Lht7RHFqWyyVn55f0/QNt30Hfc17NKWcDh6bj/c097TDggcXyTK6TOxJox0M9FguymhUvedYQjmsPknGOeezEIL33I23ruIDmaNzT9VdwalguiAbgiW4zj1ZZERLB5ggNAVlianPcQZwIxePnMjJv870KjmQUp2W4O3GzUxm1qSvWMdT6kAaTw8mJCUHCd3rj3ntmsxlKKR4eHmJothRFwbt379hut0Dg/fv3I6RSFMWIFa5WK87OzlBKsd1u4xSYlkmrqKguHZmoDR05dinx7/uePBfa1aysWC6WnJ+fUxQi/K2NpZovyHPhMTZti/Muym1YZjojyyucyri9v2cfCyY1wcmmMJUxRqrgseqUYlLH7kNS8/+UR3sMkaRE/3Ev91Me0zk3Gt8p6fTRzQ8JC5xAO8agjBkpU1OCw9hVUYosMoQ+9/juoXGtj1uoCScfNtGAnD+GtOlK9ONnCGNuhZo27BmNJ12k+XxO13XsdvuJd9Pc3NyMIXy3OzCfz0URvshp2y6e/o75fIYxmv1uNzbMtdEQB2a6riOzBqwhs9l4A8cDFoSokOcFVVFQlSXWGgGQjWW+mCPAsRv1lrU2oypXrgxoOxIvhqHHZLL+VNQ7UwjW8feihJtPC/0iq0Urpp7osVH9PiP8fcY3DbvOuXHb5ehJVdTsm1BA5aXDKKCenEzSiZ6Kw5/mm8TNlp+H+r5bpardEYJMpWWZBTxd145wgI1KSVpFiYQQRvWiadurHwZRScLT9C3KCjnzbLEQ6MMN5FnB08srHrZb3l/fsNlEevzNDftDQ13XOOeEY1jXHOqaF8+fUpbS09093DGfz1nMSjKrqJsDLirXpzFCaftoAjllVdF0DTazXD15RjYraV3P/Yd3/Olf/AV9cFxvrrGFZZ4tKMqStn6QGwOEqqKwOaXNUG2HGnp06Dgvc9ZXK7bznN/e3HDwPZ0bCDbHG4sPmp4Bm+do4xl6cKElBEfQji4MqKDIyU4KlFQpj05hgkJMjesx9jc1jnTQRgwwbQyI2wm1UpNpvElxpI4yHSc0+hiB8lwKPDHGgPF8f88XxtM4fSYBKR/jSeM2nkijD2GaZ/gY8vRIAkijmM4d8yDvpe01n885HA7c39+z2WxGsDmEIF2DCFtsNhsWiwXz+Zzz9RlFKaOcX375Jd/87lvuH7bSPouJcJnnFEUx3kgZbppxdXEptLFeVAxShyRBS49hEqUVmVZkmRUxymBFsyeqXhV5jteKRTuj39V0/YB3A0pZjFEUecbQ9Xg/YK2h94rggyisZnE2on/cXz1ODybm9EhP4xGzhFNq/LRyTsxxrTWaiBESwDPO7R49GmgdRkNMz5UMPCuLaGT25B465/4J5DImH2z6SDdhWo2eXqDjzyXjS4NDxh4FD4/PdwwlJlLWE4V+t9sdd4HAOLCkgMOhHvlleV6QWekpP336lLv7LU3bxRuVQO9sckDAGskpl8vleEPkdPcf5VCPgV2rJc0wWmOsiVvDjzfHGsOsLDm0PV3C4ExiTVuGiJWmtCZE9SiTW3Q4Vr7pNdPrTvPqKeD8+F79vhx9+jsjvWpiuKfV9mkX43F4J/alTVxzO4V//klyvtT6+VT+kfKoxx9MviZYGpLsl1XJcnUmblpB3Tax2BCtubwsyIocm2dstw+0bct+vx+ZtKnc77uOvm05Oz/n7k68Y2Ez1us11UyoUV988QXrs3N+/etfE9wwtnsScXSxWNDUB4xK8xnCglYxYW7blnfv3o1QTtdZ0XZJRlDlKO/xOHIlpNHBO+7v73EKglbM8oLnVxesB8+bD7f0Tipbm2U0sV0lrL6jsI+OIfBTrbRkKKnASAv9pob3GAucMp4/BX1Mp+Mk7/24fddPqmLJGWUTZjv08UA3kfcpsrzd0H9/z6e1GZH2VO5rfWy0j0nsMNAp2b1blgXGKHSUxJheFGvtyFxJF0ZrKQiGIGU8qSJzfoRdjrMhQVggEVs80sgD33zzih//OA6uDwPVYklZVgTnePP6NXV9GE+l1ipKgMjJT3MqeZ6zXq/J8wzvHbvdjv1eip/dbsdqdTY22EPXUw+1SLkNPcENkcPWY7OMzOYUVYnKCzoXqA8197sDbdfjlEfhUSrQ9x0gFLTSzPDBEdypkNA0vKZrd4LHcYwc03Yb6QtG0aDU6kupxAnuqI47fFMFrNTH2OK4ijWiBOnaJQKC1vr7G590GB6P+SmpAI0dZVinuFNRZPHDqvHPhPkYbcY5jylmJRdZiD7e+RFABqmI0whm8IMMbZsjBYnIm7u/v2e/v2Qe5y40iizPuby4ZHN7S9e1o2dOlVxa/9nHZdaJU5jY24na1bZtJEYUI10sAEPf4foePwwoZFmMsYosM2SZpbCyTtUaWJYFTd3QB08/RN0WFXBe+tRGa6w2NF09Vt4h3ujUH/59IXZ6HcfPOK1CYxWvlCJMOi4nvdeIaKSZmyO8k0DpCQAe4r3yx5HNdEiKPKfI/gmgFgXgA35waJQoVgUEJ9OaoHTEdKL4TT+MP+OG4xZDlWAPpcizXPa6+tOJsxBFe+q65vb2lvfv36O1HmGVoR/omhatyyjPGzgcdqM2iut67u7uAcXPfvYztg9bQHaDLBYLnBu4u7sTalcucylt2wr7JpPCYz6fU0aWi4TogVevXkV11RW3t3cUZUk5q7BKxJBmsxlnV+eUeUaRZeSFFUKDcxzqlqauGYLicj6jaxp837Pd3eOjVG7Ao02SsLV0vqF3soEIBJbq3YDvh/E6p/ecrt0Jg+dRZTvNG8fc3NqT/FFC/5F7OXUOLnh8SJCUPypUWIvJhLHUxtVibdvSFwXlcv5ZUsFnjS+z2XEn7IRhLEn5sUo9XhA7huSmaeRDaw0ceWyi8RelNlIuoqTayyJV6fXrN2w2d3E+QxSqZOZXE3xgCLIsMM9LvAu0riPPSw6HhmG4Yb0+Z72WXO3h4Z7VakmeZ7RNEyu+uPei7WT2eLsV4FgbHu4fePbsGamvnDo66/VKUoC8IC8K5kmNKoszJFaP0hmD7/DeMbQNrhdt5mJuOZtV4D3Xd3d0PjK4rWiXBhTD4AheEzzjgFYyAo/o3SWSQpqpToZnjDkuBZywYNK/nRQtU8wwteCT43tceDCpfuPWozTLEbQ6OQDJmN2jlOCPM74o8Ej8wOkDJdbr0fhSJXaUfDhSsBTen4YFuWgiLWaMHouBEEKcUtuMSgZZvAljm2iS/1hjZZuR92RxSKltA/f398znMzG4tmGxWFCV4qWSwr6POaVWGje4sQLPrCXP8tE7qNTT1Jr12ZosLzA2YxH/Dq1QRvrtAcnh+q6lb1t834ELaAwmeKrM0pcFZW5p22OuF4IiOMT4YqfjcZGQ/n+K5dmJBxvxPP8xMcFOkAXxjIwecvzfJLWawiouPJLDSGFMpXclJAXCcVF08B7/B8Td7zS+tLYg5TypFQUcIQWro/HJ7yTdFu891sqFbTs3JsIpN7RJkSkKZWvtubu74+bmhuvr62jcx86HniwTnEImWZZhnMysptd+8+YN83mJ1mcA1IcDWmuePn3Kzc01fdfTtS1Pnz4dK90y9nf//M//nKurq8hXFAnZpmm4vr7mp3/6M+EOek/oHAEhJujM4vxA07Vsbm8YmoYwDCzykqqYY60wtMssg3nJsyeX9Ne3uKahGyTsueDpBuH3JU/z+BHCcVMkHNk+qZmfHMNpzzbaiA8E0iJq2eVrrY0rEqZKCqctu/ScSicVrUAIjr4Xw3N9LyoGSjZXFln+B3m9zxpfWRQcjLRKkrvWKgnm6HEeNrnwvusw0SC01mTWEOLJyTJhimgUQ9dDFcYpuITV/fznP+fNm7cMg6Np2ghcFyhlUBEQHWdEkv5dQtW1RWaBhdq02+3J84zLy0sOhwME0fZr6ppWx4kv77HGcHVxITc1Fhl935MXOcvVirwoqOuG7XbL27dvOTs74/zsDD0EGUyKN69pWw71nru7e3KtKIyhKkpRBO07YYhoTWYMVxfnbA4H6r6nr2tQGSGIYn07dAzDMfSND59IoB8b5ZRkcDI0zlFXeQo4e6kqRgcS1KnI41ThwDknm460RiMwSjLQ6bCYEApEcDNwpNP90cYnMq1aBL7DZJhkAng+pghJ6DIokmKTvJGyKOMKhIQfGeH0BRnl09rw8PDA/nCQkBw97DCknRan2JPMxB6p3lqLMkDaxtg2LU3TnCS+1lqK6Lm6rhuLIOm8RE28eHONsVKclBVp6u7hQRYCLuZzFtbigizoc85RNw373T4yUvT4HpOch9IGgkcjmzSrsiSvG4Lfj4VmWgDofTjqCQQJ59OpsMfXfVpcfJfXGcNpmPL1YoEx/owfva+bvl76fRcHshJwHt+nViruZGkxmT3pE/++x3ca38P9FqUMy8Uq7qzIxvD7mK4DAotI9Sk4WZ5nYzJ6eXkpOibOjVWlNpZ8ombfD1KMJNbsMAy0TUtmi7GnKCQFgSbG7nE4Lk3xXqbX6rpG3QXO1uuxCxNiy0wphR+G2JMM3N1tePLkCWVRyCqHPGcWtf0Asvmc+XzOf/4v//eY//zll39G07Xs6wN133Jzc8P9/R0//MFLtHNo52SFRNxKaTIZLLIKsIbz1Yp28Lz5sJFF4xz31YXgMWlrUpD8eNrlOcEA42ztlPY04qt83BkRA5PnfQxSp+ceQ244HfVMOWXwgeA8bdefGLtSIjlydb76GMr5xxrfoT6IhTuPzSxZlksBUdfjxNd44ggYNMpIQtp0LbNBBo1MZrF5Bkqx2+948vQZRVnhvXgYpQJae7KsoCwrZrOW29vb0fMWRSHSskY2IRGT7qqqaJqWvjvOl6S8chg8XSu7dJfLJXmspGdVRW4tXdNQlYVoz9Q1d5uNtOeMZrVeyyB7HJTSRt7nn/7sT7m+uearr77iSTlndbZmtVqxeS08xPl8TnDSZguDpx56cmOwRujnLnj80OM6w7wqWS1mWK0Y3IAboGsdaehyWnBMb/A0LA79cVdHMrITqCQCx0fjiHMsExLp9DHt/xJ8JIsAbjIZF2RxzLTTkmZrVIwifV9hjfls0fHdYXeCsOdFPlaETdOcttniBSsroSCRTjCMFZC1MksLiqIoyYtS5MNsPhpwoq4bayOoHFBGx7A8Qe7jcxaFkDwHdSqGOO0tju2/+PdGa1SWURayYTJ50+DDCJq7lPM4qaJV1E05Oz+j6zsO+z0fbq7RmSysVgGs1ngrwHtwHuU9ZnpzQyC4ARcC3vQUNmdWFJRZxr5JnEKBkKb50uhtJp7HwRiCpxDK48dJZyJ8vL50fN70/uLPTXvBIQSCPl17RuyDpFTADbLBUxvJzf3gGD4Biv+jjG8qx5/Um6w1PDzcj6colevWGl6+fElZlqOOy1S9sshLyrKk7waWyyWLxQJbzZjPF+z3O+q6ju2ZDNAQpGR3YRgLnfRc6dQK/6+nbY/D4im82Ii5NU0jhVAUjvQhkFnL5cUF5+cXGCODSVofPez7d+8473uev3hBURYMg6PtOq7OZVj95YsX/M1f/zVt3xBUoCxyhkHGCnw/gJOlL0VRjBLgg+voei/gslbMqzlhPuNqtaCubxi6mrbpRcg9djyS93Kxw5FgFKJXTMVX27Yn0iXpICYmUO8GdIhRIRwhmSlOOL2u06Jm2iI9wivSHiS4+OUxcfSgKAqZ2+XTveQ/2PimecZUmGbK6R9cT54LVPH8+XN2ux273Y4Qwtio996z3+/GXmBZlsxnc+xsgckKlG4AhXOBrhO5M2BkAae8I4WXEb+Kc8HaKLwLJwfF2qhM1UqXwRrDerVCRSDVWkNb14Tgqeua2WwmA0rzOSE46vrAZrOhdzKnoq0Rhf3lkqunT/h3/8O/5bff/Jb//H/+J3704x+JvJo/hqngA41vmJUFNhMFraGXjobBE9oDZgi8uLzgbrNlaDpCCQETsbVuVGB4HIITpQpOafaPH9PQOgWPjy3NU+2XkZiaoks0unSoUZNCyAeMNmBlE1UiZmTW0u0PeO9+j/jlH2h8EYuUN6Ims6FaoWNjehhkLDJNoW02G+pJd0Ogl5ymbfEhRIzPkhcF2goJURtDUVQxsR7ou54QjhzBdPGmdKDH1a+PvL0E3Yy/4xxplamJXEMpWOIilogRVlUVC582qslrUHd0fYcyssA6K0rWTS0HzshmyrY+cPvhw7ggsSoKTKqgSdWoQ6sg/V/AhMDQd+igOZvPmRc5TWYZXGBAgVc4JcxiCW+PBoG8cO1Qpwu50/U4uS5hMtiT7uvkeUbDS/hi3N0Wn0SIwSnyaCliEiitQkALnVv+9B4/SBHk43P90cZnTIYPHcGDzbPYahlEJqzIMZllfzjw5MkTVus1Nss41DW73Q4dAVCbZSxX65F9DLJLrawqvLbReDPOL6/ou4GmaUVHzwfB2qJI+AkLhmPiLfmkQWS5xEPIEHkExL285xRKpIgR1D91YlIrq+86Prz/wHy5QNc1d/cPKK1pu5ZDU1PN5yxXK9brNc+XBV3bcLZa8Jtf/ZrlfMF6tWL28iVlWZBnFpU6HhGzlPFPg/FyIIy2PFmuuFotpHjoepzvCcGPE3c6CnOnfjixCAuxyzCtcpPRPTbAk8Mai4hUGCVjedwVGQ1VqZjTfaKgSa+BsISGvpe82fWjYf/Rxif7M/a0XUNZlrJ5PHoJmb6XN3F1dcXLly+FaxfL/sQMDoFRQjfPRTZW5nQLVD6nbQ5jm0tFXMz1XgTEc3H3h8NhhAXMhOaTwk8CqYfBRZaIjAVqDYvFfIRyQgh0TYuKcl9nZ2c451jOFzx/+YKnT5/ykz/5E84vLzBZBsrgCTRtI+JBWtN2HW3b0HcHgh+wBqrcoHxPs7vnN/91x2q1ZLGYMYuya9ponO+xpkArGJoDPmiCtqgsZz0vqZuSd7c3aAJ4R99Ix0YZi7fZeF1TE1/mKfS42XPK90vf+3BKo08p01Ru7bFW88ePj/UBp44g5faAHHI3kKeQ+X1yvtPpJhH46bqW1WoR/10mztbr9ait9/+T9mZPlmXXed9vD2e8Q86ZNXT1UNUjuxsEiMEgKZKiKCpE6kVPirAjbD84wkGF/Wo/+B+xxRdFeAg7woMUIdIvIgmR4gARBAEQQA/oobrmyjnveOa9/bD2OZnVpNFQd0Y0hqrqrJv3rrP3Wt/6hv4H6y11nXMkifi7jUYjNjc3hzWYiWNc1wKKRrUMqv1heDAhCK+5QocKtJ/ww/b9zlUPlM51eCd8vcFKI/z7V5ftWZbhOkeZFmRpKvm+u7uMphOMjdBWTvumbRhXotMtioJ1sWairPD36obl+QXaKwyKpm6pCinMqimJIhuGH41LWhmoPGiToLRBu45REjNKE4zyaDxGXbLC++2Fa7thEr566tBPq+HPotTQl10tln4w7MHhZybhv2PA8KF4+r1t/2tXyQvy6z6A5NJeiM+LGqbnz118/eAAcj2VZTl4nPS5GgcHBxwcHLC1tcXR0dEz1rc9MJ0k2VB4169fHxwKTByHAWBN1y0xxgq46sRwXBzlK+qmHIrMdYJBgQsGipfEyKu7Te9EM5EkCXVVDStCYJj4YhvhjR9iDeI4loco/Pw6wDxxkjCeTCiqinw0YrNr2c1afNNQlxXNco1vOpSDum5ZrZfMLs5ozmWTqrVmOh0zyUekSUIaZ4wnEZERJdw0T1nXGbENILo1qLHYv9V1zWq1GibeT9M0jTYDG/pqQcGloeRwCtLTrp4tvr7Q+u+svBwsPtCpntH+dpcPgQ/4bucuByLleqf9L+pMulgwnU6DxkEFXM4ynU5DodW89torjEZytZ2dnQ3bhB5vs4HefnXy3draIsnHLEsHvTkiRgYD71EBIvHODywWhWgmqlqcAHqqeS9K6rmB/ZtuQi/SXw9KKaqiJIoMWivOzs64dfO54YRJ4yQ40vdcRWiaGo9ASiayw/eKopTIrmhaAY2bsiDWQnbIk5RRntF0LctyRdVUtJ1cl+VyKSY6XpNlE0yU4pOMbHePznm2NyfY8YT9g2v8/Jtf4Tvff4effPAR3/ve94a/2xhD2dSXH3Y4/dynPuirxM/OP3uySV6JDD9BH4TzDMU34Luuw7lLQThces7ILXQpPe3agFE6h1fmkvjyeYvvYH9P9LFpwsXsHKUVaZYyno45n53Tupbdvd2QTtlKkLMTo5iuaUiimMlY1P9N24I2mCTFJKnoW5uV9DVa07SNmDd60fS2neBHznfCHHZCGOjfY89VwTrEcRS+R4tvhfimrZZhpJEJri5LxuOcyBiasqKpaqyVE1MbKz1d2xIlCZL+jeTlaoPD0HbhNFQWVEyIOgQVoUyMNnKS20ijrCHyLSrSdC6i6xq8kZ7WNY66qaHpqNclnbZ0xpB5mKYp++MJ13a32NkYM8mSQLmXhCMZnAL103t6F2XtnfS7yqCUpu3aQQsMApx7L6C5C8OGRg+QhqE/PXvmsrQuXdcOzCOlhLgxOFB5LwmTjUP3MJNXQ9V9FrXgpxbf22+9gXOOsq548PAeNraMpxM2dzY5OT/BK8+1G9fp6obFbE2xWKBah3FQFSV7e/sc7O7zwgsvcu/hI7yJSCYbuDilQVGUBePJmLIsWBVLyqaW4vE+9G0O7zqy0Ug4ck09cMk8fggeTBJFmibUbUPTNfhamBY2MiRZQtE2uLahXK/Y25xKuPOyoFgsieJYmNpWXKbWVUMap6ANXkEcJRDCppuuxCASgs7nODReg7YTtBUda1OXQkQ1CpNExDYGLdCKUcIGb8qGcllRlQ3rxYqu9Wgbk9mYAx2zayKs7xgZT6I6XFuhjBiml02Dk785FF8jQXvO4doWYxOUjqjqGmWCFXHraKqKrqlJxyPZCrUercxl8Q3EUDntRD4hPZxSl15/TSXQjtWSXefbDt06+dlCv9mq/tt+gWv37OwshJd0rFZrbm7fZG93l3fffRdrLfsH+yRJwsVyxXK5ZLFYyEahafEOkjRnPN1kZ3uPh4fHqKDs9+GJNMaQxCIaWiwWnJ+dDVNlFEW4rqVtnBhMNsER3Uj2mdZ66Dv7YWSUZUSBYLk5HZGmcXBAWGKU5vr+gYDJSlOokvl8Tpqlg5E5SpGNcowN6eoDWcGjtWFjYzNMiQ1pZFkWjqpY07Y11sT02Ts+eNxpGHokSd+WViCOY0Y7IxQG5wxV6yjrhvPFiq2tLba2trDa8sO/+SHvf/AhddVgsgRjNaZz1JWn7RpwLdrX9BoLa+XnrbuaNMvoHHRtR1UU4KU/XC6X4CPwWjKQkwSIqYpVoGTVVHUVoJxegN4iM4nkCfdDj4iSlGSUKD/Qvrz/6QEzP1Px9WokF/vAUJEorPOzc27cvMHW5hYKKMqCxXIZLCTkBbc4JtMJ06kwHJI4QYV10LPdgEAZJycnFMGx3lgBl10ntCSrQ+LjFYzJOTcQSruue0a5nyYJeZ6TJhFNVRPZiMgYWekZi0J6l95LJR3lwxAk2GCICHU6FF6vo+2GExmlcF1D21SANPE4F7BGj9dglBEZpRJignaBBq8tRlmMiYjjDFM2aBvRKcPm9hZJljGfLzg8OuLiYhZQCx8kCGGg6jpwraR6hxFJOSX0VhXC93qPv05OSkXvuSiKwaqq8HSIm520O8Ou2EiecNe1eNVfz63cAvR4afgIw0kn/EYl7G4+m9L3mThfkqagYGNjgnMds4sZF+cX3Ll9h/3dXRSS8j27mNEGarpSmqbt2N7ZZWdnB+89WZ5joogkTgduGID3HavVkocPH1Ks19KXxDbsWS1toLbXWkDapmlp2w6txS63x66WyyWEoppMJmRpShoLebUb5aRRzOZ0A2usOGdFkehMlCIbj4LPXyZMaS32H9qq8MTLB1rV5ZVhx9O2NU1dyvbCi7rOu2545k0UDCLRaB1B1wUSQgROtgZ5nuEwmMiTTzfZu3aAj2LuPn3Kk8NDAbqV3D6C84kPjHctyrW0ZQ1K4ua9ctg4xUaGuhFIpHMCtCuBFcQJVbd4ryiqkrYTR3yjRfKANUS+J+u2NEWNikOyVNvhrPTdXTjZFdLjec9AKNVaTr4vNHDcvXuXF196iRdffIF//ju/wzvvvstPfvITjk+OSdOELM8vTcLDrjUylsgmXLtxi+dfeIGDazdIR2OyLMdGMXk+ZrFYkWUpt567QV3XnJ2d8eGHHw5wR2SCGEfH6CzDdbIP7q/asqyoq3rI73DOMZ1OhYy6WlEUBXGkMZMRBsXO1jaTfMTW1hZ1WdE2DVmWhQzghqIq2dvbY2d/DxVFKCuiDKUMRDY03PqK2s2iqPGuwbkm7JGFZAnh9NB9ZL0KMsNOcL1wikXWorTk0rWdJGdOtjexGo5OT/j2t7/Ng3v3WRQV2XSbxWJB3XXUTUMcpRSrBYv5jFEq1m9aK5SJpDCaliTJB7qZ0QzbkVGSUgTWyXicM5zaXUsUZA9aIVevh/F0A4ekPbX6Wa9mp2VMwcl41vu3qM868n6W4rPWMpvNuHfvPlEcMZ1MeOONN7BRxLzG/HoAACAASURBVMH+AWmS0jYtZVWFjDYFaIyNmEynpFlOlCTYKCJJU2zYfyZJyigfs7W1xfvvv8/pyQmr2Qyv5KkREYpHGVmdNV0zsGh6AXlPXLgKpPamkUmS4Np20NSmUSQ0/jgSQmdwJ20D7assS9brNRutMG5EnXF5bQgI665ADCL47jcp/eQp0MflTrzrwj2rFYTCU2G1pY1FK01ZVbLjDgIkrzx1U3F2ehoYOQ22rumC4q6HmJSCyNrQf3nwCoXs3ZXW1FUd/J5Fhdg1bsD4dLAL9i6QVj00rUN5uS7jILx33otIyzn5LKJY9NXhAVJhP+5dh++AYKHGZ6zVfqbi6z2QHz18wHI158tf/jJf+tKX2N/fHxxFz9fnFMFFynvwSqOtZTyZEsVpYD9HpGmO7d0+x1M2N6dsb29zeHjI0dOnFIsF8WiE1vbKBy7qtobLPWXP+eu3FFpd2nb01mRCEuhom5qqLJmORhgjsItR6UCOrbuOum0oipLz83M2trfYv3GDsmloXSdvdMDK+r/PB9RfKflvAb270GQHj8K++NpO8tiUkGwVCAjbSWgMXnz+sihBaSWTOtJGLGZzsQWpW3RZ0SJQC97TNi1aafI0o63XA5lXeTBWMLyiWKOV7JLTKKJqG7EIbhpsIoZKVVkKaSJ4w/iQZRdFhq6TfDtjLL5uwBjiLKMOCjsIfWh4D0RkpNGRgeZnqr2fXnzHx4fDRHlxccEf/MEfEMcxv/Xbv83GxgZaax49ekRV1bSNC+yUhCyXxEYbR9g4ZjSaMKlqeXHacu36dcajDI3nvXfe4cHDh9g8l2CWKGKUpYLcOy9Eg6oRB4Ak4fT0lLKoaJuW+cWMOIkZZblIPJ2wLNJY6PCCXymyJCUPD0sUR0IFMppsNGI2m/Pg8WMOj48YbUzZOTggThKM0nR0aKMwATsbdqraMrs45uL8hIv5GbrzoCwKTVU1KKPxWuOMxgQRjw8nngqnyWK5FspReFi1tbK0Noo0T7l5/QZtU4uTQpyyKhocCozG4LEGIS80OgwKkCYZZdNSlWvSJBWIBI1yHXkc4wycHc9p6XDWEkWGJJh850lEuVrJfrZ2vPj88xIxUVacnl3Qdg6UZpwnMmx5AaO9cgPs1bNnIs1nTxufVXw9QbFfUS2W4tf38MGDgZe3Xq0HCnnXOWwUk6QZO7t74aqNGI3HqPMzQAlu5hEHgkZUYf1ppZCpOg4kTOf6YJE2yDPV0HMRiAVi8C2ou40sHkecRFitsUoTBy1GnuUiuYwS4igmG+WMJ2OU1tx/9AiQSXA2mzGeTFDGyCk+rJ384LSllWVdrCjKgrqqyEwSJnFF5xxZlhNnKc4a6q6l82LrIcOHk61JFKG8wobv7rxgk13b4LoWqzVvv/kmUZpz6/ZrfOtP/5yj0zNm8wXZOAXX0tYVG9MpL734PHfu3GY0nvLhx3f58KNPODw5pa1rrIl4++ffYnMyRnnHd7/zbZ577XVGm1s8efyIw8ePWS+XAai3jLIJd27f4evf+BqTyQbrsubf/cm/5/GTpxyfnWGNDiJ/IXl4JEevD5UROAx64dPnLr66roeYqbqqg16g4969e7Rtx3g8ZjFfYrRhNBrLW+sgzXJ29/eJQ2CKEDTlTU6SFBdOtGIpBpBd14UlfzMYcSvvqOtLxVavEzDhdFQIUbSHg6LQ1yklBdx7n2RZxng0YpSH4gvhfbu7uzg8rbt0ZOicaIdV2OfaOAEfsH/nB8VbZA1luaasSuqmZhRlYuERrsYsHzHd3MLFhrPZBW1ZYI2l69nZzg/J68556u4ykqttG7q2wSj45te/wc3nX+Tnv/5NHj49pG5azs/OhTldOaq25fq1A37pF7/JP/yN32Cyscmf/Omfoc2/5/j4hKaq0Al89Stf5qVbzxFbQ7E451f+8W9xcOt5vv0Xf86f/vEfUy6XeO8Yj3JuXL/Ob/z63+cf/aPfZHd3j7ZTLBYrlPo+xycnDLa9vkOFtgdA6eBMFfrDZ8ign6f4eqqS1prz83PQis3NDb72ta/RNh3L5YqjoyOKUgiYL75wm+V6jYlikQqiqKuGo6MTurZlPJly48YNJpMJZ6dHvPfOj5hfnLFazplfnMmCH8EXJek7ukKhl6tlvV6zLkqqsiLLkkE4HllNW8sD0m22mET8+pIoJrJS0BLgPGYynXLt+nUwiqppiNOE7e1ttre2GI3HdG0LSUyep4AeqEyTXKhk1mhcSOOMbESUxChv8E6R5hE3n3+B67duUbuO1bvvsKoabr/yOmVRsFoueXL/Pm9+6VVGozGffPwRxWwWdtoRTecxxnJjf4evfvPvMd7YAGsYZynjPGU8ylgv5uxsbvDWq7f5H/77/w7vO85Pjjk5PuH28y9w/Z9d4zvf/g6LpqJTnkme8eqdF3jp+ef4+ts/Rzce4+KIt954hbZY8x+c4+nDB/yTf/xb/MJXvsKv/eqv8sff+mO8V3z169/gm1//Olpp3vnxOygnktW2bYmt+Eq3Tm6n/qRrOvczXbs/VdsmUfJia9u2LXmWs721jVaCt5VlyWq1RimJE1Bak6TS7/W+JlGSkGYpWZ6Th396T5ZHjx5JZGd36dbunUMrBr+ROvjpJUkaTk0ZRPqpuGdjjMfjEB2qBz9knGOU58HUW3qqOEkCi9pQNw0emG5uMlssWK8LsjSjbhrqqhY80DybMduTFITRLWRZFWLsRUSvqeqGoqhAW+IkIx9N2NjaIR+NieNUrnMjlLG6aXEovNI4D1pLItKN6weMspTYmmC+5FCuw3cNyjluXr/GL33zm2xMJzR1xfHRIUZBUaw4PTke3kdcx72PPxZNsfN8cvdj/ugP/5Df/ze/z8P7gq1GWrO1uckbr7/Oy3depiqrwMGMWC0W3L97j6ePnwRwGnE/6Hr6XG9yfnny94yWL0QmjRMxcWxaoUmN8pztrS26VtDx9bpgvS7Y3NoizVKJh0pT0eVmaQhqTslHo2Bfmz+TYvTo0SOJS3ACYzTNZdPaM4zruiYLBo1a68DkvUxrDFD1UHzyfRraRmKYxn1UfaDCx0lMkkrYc7mo6Jxjc3uL2WzGZLpBHEWXWtiqJk9FBtj7nfQbgLoRvxobSfA0CMThcRRFxWKxYpJmJOmIsTZMNjapygpjV2gjMtLOOcpKmDNKGZkurTxoN64dYHXwkfYa34m1rmtl+Lp5/Tr/yTe+jtawXMw5OTpia3uH48Nj7n5yD+86rBKw/OMPP2R+MaMqK37wg+/zre9+n7NVAZ3j/PQMvGNna5s7t+/w3M0bPH74WIgaTcfR4RHvvvsu9+/dC8L8QD5wIi73Cjp8KMwAORHY0l/k2j04OGCxWLBYLIjThCRNiKJY7GoXAnKuViv2DvbJM0mG3NsfMxqP8UCUxqR5SprGbG1tkucjtJIl+2I+49GD+yznM+qyACcaCx1Yyle5aD2LuY9G6CnfozxH4akqWctF1pJGMa6R4BdjLLu7u7Rty7pYs6W2GY1HbG5tsXOwz8nFBcoY9vb3qaqKs7NT3nnnHd586y2apuHhgwdi8WEMJuBqznuauuL09IymrBAWUXBzD9zComqYr1ZMDw7Y3d/HKbA2ZrUuWZcV1248B0pTlBVl3QitzBjy0YQ4SUmtJUdxdHyENzE2n3JxdkqxWhIZzbX9PQ72dtna3ODk6JCL8zPm8xn/4l/8j3x89z6PHj8lyUeilbERdVPivLgJfO973+XeJw84mi/43d/9XYrVijxN+ebXvkaeZizmC/7iz/6M99//gKdPD7l77z512+GUYjqdsipkoxPHMTZLRDYxmzOaTsJePcK2z/pJf67ii+IYFz58OYaTAeStArCslCKy0p+V6yIAygk2UObHE1ldFYWIiqwxPD0+5PjoiPPz80GhpZQiCtcbXO5vgUH11ruJ9qePhD03A8wSRzFpmsrO0nW4thmwrMhG7O7tYqyldR1NyNmNk4TdvV3OTs8Gx4XzM/nfB/sHFOtiAG7jAEu4EOWqlVDZnROMTYn2h6aTdiGOY7xRtM6xKtYoo8nyjFhb6kaiQY02tEHA09T1oBGuijWL+RybjtgYbxJHljiSMJskSTBBsvBv/+APeHD/Ex4/eszFYsmtW7d4880v8eHdTzg9PaMqK4GOjMF5x2K5Ctso2YZ4J54uaZZxMZ9xenrCH/zhH3J6eg5Kce36dV594w3mqzXf/f4P8GV1Se1qWow2TKdT2eeq4DNoLs0pf9rXT+35+qCSpm2H4jODFVk1QA8iJrd4PHGakOY5UWwZjXOmEyEXGCPKMYXi7PSU0+Nj5vM5fYJkv8HoWbNXhcuD/WpdP7P8jgJFvqll0up1oy5QsYRjKHa4URyztb2NNhJPJYnjHhtFbO/shDZBbNRmsxlN07C1uUldVRTrgrpX5Ck1xMT3vV4f6Nwj/xIu3RHFkbg8GM18ucBYwyiYVdZVTbEu0GFvW1finAXS7xbrFcVqRVvXRFbLrjpJsOZZo6S/+u53+avv/jXvvPsOSmlee+11fv03/gG7u/tYKxzHKIklPwMBtaGXl0Yh2EWjrWG5XvH06JAf/vhHPH76hLbreP2N1/nFX/5l3nrrrbAuFKKEiMlE6D+ZTAYHC62fFfn/tK+fevK1gQFrAyOkX2f1LvFFUQypP30C+XPPPcf1mzcB2NvfY3d3j8l4zKOHifh7FCuOnj7m9PSYtquFvqSkKG1kh8GjaaSg+mCZuq4F70NMhuI4lgy1VhTzvei7PyGbpqUoCw4Pn/Dy5utMJtITtl5CnpXWnJyforXm9Rde5+TkZLBK25xOqcqKH/3gb3juueeom5qL87k4HISF++Jiju86jDIkJsGEsEPlg6RQeTCa+cWci9kFZ2dnvHLnDpvTKcViyfnxERdn5xTFmpPjU3RkidNEJm3EYzCKIrIsZZxn7O8fcHx6wen5DBtHJFnKxuYmX/v6N7h+4waL+Yz/6r/+51RNy+HRCU+OT1jXDXrgIyq8UkRZTnUyYxEeynQ0Isky7j94xHRzm5du3+F3/pv/Fq01BwfX+MVf/nv8z//b/86PfvwO89USG+QPSXgftZFosigMpw6PqmVY+7SX9H9U8dnIko3yIbtB/Op8WOCvqaqa8WQqE2nTcHDjOmkmYqHtnR02NjYYjfJA/xalfpomzGczFvP5oPsUio4QIoU9K5oRBbIvvCKdVIMheTKsleDSwk0m0XbQGxRBGA7IdGsMsdEkaUpZlVgTkQbTcR94hXsvvEgcxVRlycXFOVEUMR2PKdZrQfddhwlkA2ss2snf2bVOpletMElMVa6pyoKyWLNaLajrEudytEJ+bbmgLkrqqiQzOVvTDaw21KVkkJh0jHOSbKmNHnJ/L2ZzHj16wocf3eWXfvGXKEuRpT58/Jj3fvIh7/3kAzo8SZ5jXcfZxZwnJ2eMp1MuFguaMKl7FG3nKMqSx0+f8vG9e9go4hvf/CZFWTKbL/i///W/5rvf+2tOzs8ZTSesq5rOeyyabJSLhqNriY18Zr5pJFrsp5bdz1B82hiSNKHrRiJgDs5Jy+VSzK2bdnCTaruOnd0dkiTGRpad3R1G41EwUxRoBC9EgfnsguV8FvoNZFneydLbuQ7fhrilwIztxUGu6yCcenEcBQXVpQFOz6TtF+i9SL0OeRxFVRJneYBILE3bopQersc+zTxJUyJrKYs189lcPAnHIwmjCWRShcIafYWW3oV9cosvC/Q6YjWfs14u5ApdLymLNWWR0lU15XpFuV5RlxWEjcYouOfXpURAZFrE9vPFUgi6iJ/yal3w+OlT3v/gA377N/+B6KXLkv/zX/0rvvu97/Hjd99nurWDSWK085wvltx/9BitNfPVSnA4pcPE3dHVLev1ig8//ph8NOLLX3qbk7NzHjx5yr/91h/x4OEjUJrNnR1KF/TDwcCpc5LlZoKNXNe0Q9/+hYqvw2MiORmaoh4s0mazGXXTDM2x917CV65dI4oj4jji5ZdfxjlHVVfkaYYJAuf57IK7H3/Ew4cPqKoiJJN3l1dt2+F9TRv0qC70EV3YAkRRxCjPSVPZ86IC6TUUH/jB0MgG5vRPPviA04sLNvd3ufH8C6BgXZXESUoSnOezPBPVVt3Q1jUbkwn7OzscHh5yfHLCxx9+xKuvv8bR0RH379+jW14wSlNMBq52gVWiyLOUoqm5ODvh+9/9S5ZVSdUI4eHe3Y84fvyQi+NTivmScrXm/Oyca9dvsrG5wfz8jLaraZsGrS0XiwUPj884+c73+NE777IoKkbTDdrFBR/fu8fjp084PDpitVpyfHLE+x/cBRux/9wtjo7Ph555vlzyf/xf/w+R0RSLFaWDTht0nOC6lq5tKKuKf/P//j5/+ud/xu3bt/noo49YrlZ0HrKNCV5pFkUpQjBjUMZSBQjuqqVHnCbYqzLXz1t8bdsOopw4TYberq5r2TzEEtueJGF7kOfcuHGD/WsHKCUsWLwnMsLTWy1XvP/ee5ydnrJeroKoPKjTBk2t0Nblqrz0lOun3zTLSFIRoQuV+1OBeM4PzlJKKfI859HhIfP1ir0f/5h8OiXJMlarldg5BHD46qATBXilacQKZDOo706Oj5idn8vOVHwsaJuWtqoBhVaGKI7FLNt7ymItD4NRWB2zXs4pl4q6WAsJVStu3LhOlmdorairkupEpknnJTqiaUqOT05ZrFaUdYeKIuI4BTzOw4/ffY+mbSjLAh3HOKXpHIyn08H9IUpS6k6glrrpULEkadZdC05s2bS1lHXN6cU5zYcfUBQlzgPW4LVGaUNsIgJ5fvhclBbiRS/6B9BNHeSZX8Cfr6dgd51jnKeDPYN8KLH0O4EAmmUCLsuQsTuooCBQ4Y2hbRqePn7CcrGgrMorRtMM7p+Xtg0An7JuCBT5XnTef111r3LeD0NKfwo2TcOqKrn7ySe89MqrEl2apyFRkWDtYQbvk35z0rZiCdvvtz/46IyyLOjalhhENO5r0QWHJMm4bQeWSV1XqGBkpLSiWK9xbQu1fOhRFLG9uRmo79C1DVW4XrW1Qm7wnqIsaRohgBqvsHEc+IMdT4+Oh57WJAmu83ROkeUjWierLmMVXeXoWnAq5OGGXbaSvgVtDa3vaKuO8qQiTXNMeA0oFXwKI+Ge9hieVqKAQx4UaaE8dJe8zM9dfHEsfVCHY3Nzk2K5YjmXUBStDCoW/lofznz79m1u3rzJJNDb8355DjRdQ9c1gKOqS5q6Gjh6WsuH32N+wmKxl3qCK7YM48mEJLZXdofyRvTbkH5LIsEuJculYF+16/jkk0/4D9/5Sw5PT/jK179KVddMxjpsYhLWSosjwXKJ8TJp51keIutbXnzpRZx3HB8fYalpSg+dx7VC8lResVqXmDhCxRYXGXRkQSta11AXJV3d4sua52/cZJyPArnThP5WkSUJrXes6xprY6I4YWtzm8l4im06dBSDEfmB7xpx6HId3jvK1kkhayUehKMROoppihVJlqPzDNqWonO03mO1CexWR9vUKIIQCI+OrMS1mvAQKEXnHVGaDVeq3IBgQu5aF/S7XLHk+NzFFzlF5KBzCt92FOs1i+VS3oDI4q1Gpwk71w547vnnuXZwncjG+E7sswwGnMRLKRRN23F4csK6rGgdKBUJuOoaOhfoUUai1MuyxmuF1p44MihvMcpjlSeLY6w1sthuhHgwHo+Zz2a0dUNTtzRRwtJ1vPPxx9x5+RVG4zHb27ssTmc88veYRBnjLGe8qTFFja5bfNtStw3zZg0+IrEJna9QzoNztKs1uqhIm44sjumUJLC3TjBD5wEvRjmqEj4fwRcQIDKGxKZk2xtEUSriai1EU6/AqVbWUs4Te4dpKzIaNhJNYlsaOlxsaRVBAxKTKhuETS3OSrRXpxUm0mRJTNZa2tgMLgNKKaxrh1Sj3oY3ipNhwPPeB9gruKpai1JmcHDoIRVs4E4RjJvCPt548OiwdvycxWc8WDQWRde0w8QoV4JkoGXjMbv7++xfu85kMsUa8SJRQdLUdbIHVuF4Xq7W1E1D6zxaWRrX0bSOpqlI0xSjBceTnkGB69B4rNForPSPfdhMAHy11qRJglY6tAmeFvm7T8/P2V+vidKMPB/TlDXz03Me373PnRdeRFUt7arEOI/2YqVRNBWxazAmoa1LrBPvvWI2py0KbOeIlJXFvZJds9My7PSaYmFAA0HwHWkj0VCxpFzaKJIPR/eOUx4fosaUB4tHdS3Wd2RWEUcKCzRWilwp+XCjUHzGGZzpUEahDbLV8Up+JiVOr855lDUYJ0zttr60NlFKEtj7nWx/6/R8yWfMPr0AXDZYsPXB0b3ZuO77ji9SfD1Prm3bQZhTVzUmkp4rH+W88sorvPnmm9y5c2cgdGotSUG9uKgsS6JgINn7OHdXfOV6BkQdohSsCS6hYYFdVRWxjciyfCAQ9G/QEI0QEg8luCVsPQykacrdu3c5OTnlrbfeQkfiZnX//n2yQCx98ugxSZIyHo+JFzPKoiCvRkQbhqenp8RKM7IxH3zwPtVqDfQp7DKY2DiCcD0pE4RHWuLB+rZhnOUDPe3SP1BER064puEBZRiW2mBBEUcRk/GYpqzoPOiwEjPaYLXG6BhtFZF2NNrTGEApIjTGgTcO14WTWSscIdPtU3kdGgaNyN+ySrs6+PXkgU999VCX1ipc4V+g5+utyZz3tK30VHVTM8lyskwYLj/3cz/H7du3uX79xuBMqQMFvX8xynuiANOI06UdbCz6KCV3JU2nZ093bRNSGRlMfPpctDo4YPUGkp82vjGhENqiDKLnGR9++CE39g8Y5SOyJGW9XnN0dMT777/PnddekdNV+St0d83GdIJqHbrtqMqSYrWmq2uyZDKccvSUK2vQNqInH6qggBtiobqrRtzyT9d1g0BbKYY1ZH+dGWPIUkuWJaTeU3eO3Z098iQnjzOWpxfi5tC2qMhjtCeYsmK9xngN2oVBxIsHTdfQuW4Y1KTwLjM7nnmt4Tp95tcIm4z+z18pRKW1tCmKz8T7PtMWt+1a0X62erDXstaS5xnTjQ1u3rzJzs4Ok8k4GP787Wrv8UDnBKA1YSXT1pfJ3f2R3hdgkiQ0PVyDnMIi18xom4aqDNa4Qdf7aZsvHa4K0XLLqXp6esrmeEISJdiRparEteDo6Ij9G9dxWr6fGDHK9RFHEc41dF1NsVrLZBsMJ9EiGjK9aWCAJELHEa4tjQp5vL3qTF7jp08VUaAF/nn4ecIq0VjSJCFpO+Km5dr+Adsbm2yOpzwyD5hdXDBbzPGRxuteQeeH4lPeS8yqE9Mg7fUzmyF8ENlp/cx76LpONhVXfJu7TnTJXl3J6g3fS6m+gJ8NkP5cxScF2FFVNUkickatJBZ0d3eP527e4vYLL4oY+0qCZP+GylMuL2q5XHJ+fs7pyfHAkF6E6faqx55cnSqIxq/krEWGNEvJ84zloqVpJFzPxglpnAywTU90sFZMGSMr6y/nPeW64PDwiLZpmY7HLKsG1zmyJOFHP/ohk80Ndq/tUVcVVVnJtqGqaNYF5XzJ44ePGGcZB3u7kgrppa/p3ZmUc7ThRJFPVvqo3neQgWT5rIey67PLlKfrpPhdJV5+2hqSJGJrPKX2iqYsePutN7n9/C1eONjnu9/5Me+8+y4X87kMA0bsaz2gncI4wnQcrnl/ScwwxlwKv3n2pNJK0YUT+2rhiQcgQz/nuewRtdZgLb6tPqusPrv4JpMpXecHt3dhK8sVs7e3x61btxiPxxgrL7rfjw6FF+jUxhgW8xnnZ6dcXFwMP6h4BneD5rW/gq3Rz3iymIDDSVMs/WTXdVhtSJKYJIlpGgG+YysxB4IBi3nlcrnCO1n7LBYLXNNiHNx54UWMlqxer8W4aLlecPvVl9E+rJHajmK54vTwkKapqLWmXBeoNFyrWmAJH9geOpzkfWBgf8rHUSRpRANVTPqm3rjSK1BONLVaISk+qs9W82RJjF1CsVpjRLaD8kIkrQO1TQ079Es7CxUklY7+cNbEOkIit/zw3gOXD433z+xm+8IaWEfS2A2nmwr6nP7Pdar+4uo1rc0QEtzz52xgFE+nG+zt7Q1+Kf1f3hde27aDR69zjuVyyXw+Z7lcBjxPAGDnW7qeV6Yuf4D+xfc/dO/Dd5WqE0cRcRAQtU07FHVk7fDB9vljvcCnriQV6MJe0D0n2W1l26Ksoe4aOjrKshBT8uC+WaxWHB8eyv62C7w7Y2RyRGpUNKzhw+byPQsLgfD+hP/oF9pD4/6pKzhc1+FXwHtiK8OF8o40iYkj+RnXa9kUmSBMF/aKlLbyYR/hw8voHw4lfeWn++Rw6T/za1eL6urr8+ry88ZJymTPSLpaxJ+7+HpZozGGNE1JlcjmAPYP9nn++edFN2HsMJ314XNFUVAX5QA2Pn36lKdPn3J8fMzJyQkuWOq61WVmmO+68ETZwWxQa01szaBq680JrbVMNzZkz5uklEUhQX5WpJXipdLKSWHkIarrevi+8+Cq1fc6y3LFeDohH+WcHB0zHo9om5vgOk6Oj/jh939A7D3KdzR1Ratk02CjGNM5aB1OdXitA3398kGUn82FIvDDBoS+7NTlg+fUVY+T8ME2LYm15EnMJM+4ebDHxnRC5z2nZ2dUVUmcxHgThQgTjxNfe/rW0qjeFPJSWDboLPpJ9sqtdZXMa43B6SurTi8up8BQbBoRFhH68Ksn6ucqvrOzM5owjqdpKuyPOGa6ucn+/j7b29tDD+OdwBv9+k2cRR1t2zCbX7BYzAeZZBV+T7xBLqerPvdD/sx6eBr761jiqQxxZMnThK2tDZJIREOzi4tnYgF6E/KiKocsja2tLS7OzvFhf/vo0SOW0yk3rl1nMhXmzpNHj8nGGQ/ufsLF6SnT0YjHDx+yWMyZxilVeKNtPBIJoRIlbusdvmuh0yIppNfaCH5ISFfo3jn01wAAIABJREFUaV/+mVNPDUMKLrjvKWSVhQumQI7YaMZpwjTLqYuSh8cnnBwfUTctSRLTWovD0eGCWN2gtUcbR9fb1yt1mbcRgOZPQyr9A9P3hR4G/xXnBAlQLphS6svIMZAbzIQW4LO+PtMQvK5kjK+qGhPgkt2dHaaTycAaVnQ4z8BublvJ0hAQ0lGs14PvCF6ckrzrjQcvG2BJjAyTVdcOJMU+VqGXUMpwYsjzDGsivOvzwvxwvUTWoo1QvM8uLnBOEoGyLKML/MSqqlgtl1xcXJDlKYm1ggPWtXAOF3OK6ZT5xUzSL20s9CnX4QMPUQqMYUGvug4T4IjheOtbgCtQhuBl4rza38taC+GzBzAE1gi/pwTUTSOL1ZrVuuT4+Ji6qvCBV9hpHcisoUeTmpcBxIViV31a52UOB/1VerVf95ev+dNxCv1p1/90/ec3nNj9//8iOF+WZSzClGqMmGaPJxNu37nD5taWiGWKAhvFOC/XdFVVwrNznmiUAZ7lYsl6vaaqK8nFaCUzo7fxt31mWTA57Dl4SSL0rN7w0ftONh5KptpxPhque9c1oT8Unl0Sx2RZzvXr1/mr73+fxXJB5xwbW5v4zlGvCiJrKcqSd955hygyvPDiC7z2+mucXJxSVuL3V8zmwj0MbYGOpAjkxBblftf1U2SHVwoTvGSe+UBCoRI+3N44vfMeExnxWAkGRsoTNB3ipWdtQmwNaWRJ4wjvW2bzcx7evycOWVpw0xYl2yA8GItViEOVDw+Kl6xd7/r8jStsY33ZJlwNm+5p8cPrD1/Oy2anf8B6/5yrSfBfqPh6u4zeCmO1WhPP57St4+zsnCx7Evow0aCaKBQEfQKkp66rgRhq6LMiZCXTBE2uCkv1fozXJoz+Wg+9XhQ2J70ZkPgoS3atVpqtra0rCYjQNg2knrfffhtlDQ8fP+LuJ5+wvbXFdDzh1o2bPPj4LlUQRx0dHYGCOI3Yu76PK1qeHh+Jd3NZ0hQF4w1L20W0rqNcrdBVhY0jRm6EjSJsZAM6UA2wUxLHREb4hQr/zGlhQrFJZq/HN8FsJ2wnlJbeESfT7STPicYjYmPoqorlbB7+fU9dVegsQwXTrDSK8XWDb1q6th6CcFrlBgzymdCXsBLVSgnjJRTRoKfmcsAYJvTQMnj1rAG5CgPIF+r5+g2CBP7Z4YlNU2nwz07PGE/GjMdTSZXUOgTsSQ/TBbKhpHj3Yus2HMlcUuMJdhVdE5pfP7BdTIAPIhsNa7W+P8xT0QbHUcRkMhahT8AJy1WF9zLUvPTSS2SjnPOLC5q2pQgh0EmSSFJ5I8lHy8WCs9MzdvZ3iOOEzc1NPv7wQ5qixDcNZZJiAirWkqH7XabWxF1H52IioD8jmqaR0yG0A0ZfQhL9n+ohIQFuFdPxhCSOSU3E8nxGV7d0rWhw08gSJQkqyA3wsnrz2oCxVFpjCGHOncgSFJ4kvD86spS+ZXaxZL0qQqyWgNmXIY5yxfurPVu/qQpXcH+qD1c5DEPLTz/r/iOKTxtDhMLaWMyCmhrvHPv7+5RFyZPiMfvXDtjd3WdzY1MClpV4tpVlSdvUlEU5xCNorSirYoA+XNjbRlFEnmY0TS0F69pw5YZeD8iylM3NTdkNN0JDn4xy4RHmObu7O5yfnVGsQeuUtmpxnYS2vPXWW7zmxFfwD//o3zG7OGQSaGB1lnH89Ald17IuCo6Pj7l26zo3bt7gjTff4Mc//BHLiwu0c0ResY5WpHHM+MYNtHPoYA9mrRVfmsmYPM/E2q1phJWsFHmaSS6bESZI13XiuK/U4MCv8Ny6dYvt7S0m2Yi77/2Ei9NzLk4viCJJcNJ5TldVqM6RJTFaReTjCdlowv3jQ2ilWJZnFyTGkNmIjfGEl165w+7BHoum4K+/8wPurx4GzYwcMHmei9VIkKcO16i7NPu+2ssNa0IfrNW8xCoYwqaHL3jtggqsYokXHesJWZ7x8ccf88orr3D9+nXy8Ujo8SECvqfoOCc9S1VVVEWJ90L7KYtyWDNpcxne3AvCa+WpK7Ht76+mPlhwGrh8bSO9Y1s3WCttwXg0oirLAdRepeIKX1fCGN7b2eW3/slvsbWzzaOHD3n64CE2jlDKM9mYUq4vA1eWiyUPHz7iyeEhkbXYyFIslxyfnGCVIrKGiXNkeU6aZYwnE1wsqys39zRlxTqOSLOEyAgtyQVjbhMEUJLWI1OyjSM2t7Z58+23iJME5zwnZ6fC/AlSyVVVElnDKI7wXUtdrimLFb/69/8hm5ub2Djm9//4Tzk6OaUuK/IsZ5IkbI0n/Mov/RL5xog4T9CRYZJM+Oj6PX7v935PDJGspa2bgb0iH/2lqfcweITB7yp59+pGq//3rsI3n7v4uu6S+aC1lsC/WCbc0WjE1vbWIF5u6maIhe+ZtX0adhMm4K5PJLzSzPYv3LkubAPC5sOJDrYvvsiGPNc4Io5EpFSXFVpJX5ilKUkUUQd2dZLEKHXJrDDGsDne4q2332J/f48P0pT1bMF6uRTmjm2G/gZEJHUxnw1uCVqbENYMdOJNXVYVaVHQOTfYg7gkLOPDUBWF196vq3qfG6VlCGi7jo3tbTY2NsmynMPDI8qyoG0qqvmKpggIQiPs6SSOwYmWZWO6wcHeHuPpBJQmTdLwOsWtYXtzi1vXrrG/u8u6LSjXK3av7TOdTphMJsNWSStN2zSYyKKVwXMZKvN3nV799fu3TsHwWf4sgvHPLD7xPy4HG1r5oCU0b2dnJ4S7NDx9ckhRlMML1VoRR3YQetd1PcAw/ZQ3rM7CbrSqymEn21lLWVTiAWfMYH8WRRKd0Iumey1JmghHbj6bU4Ss3lE+GpwUevqQ6Tq++tWv0rUtL790m7/4kz/hyYOHLC+seD6bnlETc3J+xnvvvSeWukb2yipyAl2gODo9RZmQqrlYsLGxwWQyYboxHa7hqqqIrOCSBnXl1IA4TVFaUTcNb1+7wc7eLqtlwV/91V8zX8xIYkvsEC6hV2gbYdGMshzvHZvTKa++/DJbG1N0FFG0LWksJ608+Z4Xbz3Pl996kzxLuf/hJ5zOTpnsbQ4EERAAWSvFqiwZ27FkxAFdUw8FOGw1PnXKXYVTPg1Of+HiAwYLCbHNV8SJaDVEIFPgleh7ozZiPp+LdNLKZDefz1ktl1hrqUPo8qVGgsH11Ht1JVi6v4I74ligkz6xMo5jJtMpy+UCazTTjfBmOcEEy3LNYjELT3VH6xrW6yVpmjDZGOOUknTwzjGa5Lz2xuvcuH6d5cWMD957X0Bw31LXLWVRURQFZ2enZHHCZDQis+K0msYJuzairCrKquL48JDT01OiyDKejMmyjDQECeZpRhLHFKuCKPAgrbVkzol1R9fhHBgdkeU5k+mUqqkp6zXKKYyWdqQsaqxSbE0n2DwjyTI2trZpnUcFouj5+Tld2zEZjdidTNnf22RzmrGcLRllKXU34tt//qf85L0HPHlyyiR8jm3bkkRxwEs7cVb1XgDMT2kxrhZWP3wMN1joIfsB5QsVX+9Q0GNxvf9xv0JrWxnfvbscw5WWSbauxQ6iqiriWJyfegDaBNrRIPhRV7LTvKyasjQljuIw7V72GkkcS3hemoB3l25V/tJIEgR+8t6xXq+oa+H+ZeMR2mhh8XYdo/GIxEZsTzeIjBHCbFUwnkxYrJfShJcFdduwWq/xgRyABx1OVfnLwsqpcywX4uRgrWWxWJBEMUngIvacxizPyIKvjTKaJ0+eYqOYlzY3uHHjOfLRiPn6gvXxOV0lRN6yqIRfWVVkkbDFa9dwenpKOhpjwkAoyIJinI+CAL3i8cMHHF+ccrY859HZEUXRirdgFImQPtDk6DHAQOtC/f8PDVf1NVeZz/3a+mf5+qnFlyTJcOXmeY4PDNtlAJObpmFdVAMm1LOKlYLlasFquaAqStIsGQwWm6YhSsUrr3P9/lakl7PZbCio8XgyeJP0JFQQY588zxmPxrRVPTTJXdM+cy30BTmfz5jNZ2yWO+xdO8BYCRhcFWuiJGGc54yTnNdeeZW6rjifn3N4dETbtRxcuyan23otALo2FHFJmaRMN7cHe42pEteGqqm5mM2o5uVQCMrLtuX69etopSUIcXNDXBKShCwfYX74N6zKgpdefpnX3vg56qZitjjjh//hrzh7esTp4RFN3ZGMRpyfnrJ3+zZt3bBer7n34Cm7126we+2G5A23Ld55xnmOaz0XZzN++Dc/4MHhI05n56x8xZ3bX2Jvd5P5fD4sBeIkCbkdolbseZbP9OWfukqv/p4xohNxATj/wsV31Qjo9PSU27fvcPO5W2LoGF7kJ598ws7ODuPxmDRNBVhu6kBKaIetxWKxYLlYXoKsWmG1TIE9l08pJUKcoJdNUym0yGoiK4SCOljRNk3DcrkkSRJ2d3ZYzhdsbm4O5IZ+BRZFEXmWkqQxTVejjMAd0+mUk8dPqT1EiL4iThK2t7ZJ85wbt57jK1/7Bb71rW9xdnrKcjbj5Okh5brgbHbBxXwpIvrIkqRiBqS0DqCypnMJTdMOp/GD+w+GB+n45Ji2FxyhibOUJM/4l//yf+GlO7f5yle/zH/+X/6nLF+6TbMs+PF3/prxaCzgdbj2losFjx89ROuYJDJkkWKcZbR1Q93UFOs1XdNA5zk/PaPrWrZ3N/mnv/nrxNEOs1nJD37wg4Ha78ONIwSB/mTTw++hFOoKYRcCUB5Ace/ccEt1Adv8QiBzf92KS8Ec6G3JWhaLBfP5fHAa7QuoqgqqspR0n/A96rpmXRTUdYU14a/0/dV4udKRI9sHEZAUZZqmQioImw4g7CQvi7ZvD65Sg+I4BiVOB+uioCwKub6NQWnJmDDWYNzltkEpUJ24rKYmRdsp165dI44iFllGW9UUcUyxjqlLOWmbINdURg9DVM9M7lk5vd7Cewlb9lVNWdV0wXZiI4mJbMzW1ha7e3tsbW0RxRFFIYZMq9WayEaX/jXhYFguFsT5xnDSp0mKMStc6YIblYjmX331VQpXQiwqv8MnZzx5cjacWL2DlQ9XbU8qfebG/TsKSSk1AOWDXYlSArR/0eLrYQ5rLWVZCSiKwAPHx8JIfvGlOwhtWt74qqpYrddi4a/lNCiKFavVcgCUgz4P6LccooxDHphhg6GUWIP1hSe2t5c7yH67YbQZnBSaRggNaZajjHiTnJ+fMd3a5E78Kspa0DKBp2kq6rw+Y86JXkEHIVSSxuzv70tQ32hEW1aU64KqrJhfLFitVxTrgsVyLh/CFTlAr1WJoghjBcTtYauudUO/bGzM/u4+t19+mV/5tV/lxTu3Obi+R+ccjx8/5vDwUB7mJBHAWkQJNE3FYj5nbFNa1+IVpJm4qHaB0gYw3Zjya7/2azSqpegq7j69zw9/9CPufiwO/L1dsKSHtygUUc9Kh6GHlnp6luN3lSzRv38SNxF/8eKbz86AqTTmqUapFlTHK6/e5uGDhxwdPeXtn3/7irCkoaoLimJFUa3FNp+WxWJGUa5AO3b2N1ksloF61eK0p9WeWnvKpkJ3jkxpdpMREx1hO0+e5YMf3TjJSJXBNp48SfFA2TV4Kwyarq5pK0khMXGEwdOuS9pVSeoNhghUQqITmiTCoyiUIrZisYHSJHEEXnxmsiSHiSePIoqLc7qNCUopzroVdVXTlDWzozOKVUG5Lrg4v6AoW8mhiwW2QEGSBKmn6LoYZ0mIcLD8F//ZP+MXvvF1XnjtNb7/vR/w/b/8Nr/3v/5P3Hv3Q6harqUpbbGiOj3l+MEjbn/pS6yqhqOyZLZekRQVadmyXBa4TpNEI85WFd/54CPuL5e8+ebrnBw+5ejpU77/199lUTlUnpNqJT2fc6gowrQmDI2yb+4PiE8X3d/1Je6t0ifGnwaeP0/x9RNj13VMJmNQkr597WBfRCuzOY8ePWRvb2+AY/rrL45kemrahuPjY1arlVDdtR5oUXEU4ZQ4L6HkiTPKEXtFnuWytwwTdM9Q7p2pjNbDdVsUxZUTK6IqxB9OdcKI7pqWtq5DRtjlnrK/ZrySovMEgY014KBrpe1I4hijPJPplLau6VxH7juSKKJLEkzjqJKUKs2xaNbrKliluRBz0MeeSp/nUZJEpDQ1De/86Eesy4IfvvsuP/7xO8xOn1KePqSer0mUJUkUNkrpmobzszPu3bvHyfk5nesoqpLD42O6TrFYLgUq0QbouFgsqL1DR5rZ6SkXZ2cslms6I2kBffxCz/Ej7NyvspyfERWFougJxQOH7+q0qy5VcJ/19ZlQS48DbW5uAsJ0uXHtOhcXF3Su4/3332c8Hgfr22JYneV5FqxzxXW+p1tJvuslY8VL3KGAxWmKbjtsJ+u8OGBPKgwOSZqGxEXp19I8p+skcbI3+EnSlHK2FL1EJ2+OxEjVfwujcq6B0Nf2b6Ika0sx9j0lSUxkxbF9vV5TFGsyH+GNBRuTbSnavKWtWsZJxmq9pvz/2nuTJsuy60rvO93tXutdNNkgG2QCJEgCVSxKZhpwzB8g6S/KJLMaVTejaVQqK1pJVJlQIMECSBAZkdF4+/rbnKYG+9zrkSwyE2RSxklemAMRmY4I9+f7nWbvtb7VdrRBQgW7QTJsR2m+AlLXkxL0Af7tv/pXuLIkasX13T2VU3zv6Zwni3O0LTmmE5fzJTEm7u7u+Nl/+Rn7XCBde+LLly95/fIN280uizHEPHU4HNjstlxfv2LoWnzfC58m9+6GjO4VbWM7+WRQj+dnnYvt3fHZ4+KkvrIqSoGOsRXfXIDf4OGQ1kBhHYfDAVeU9H3PdrvlBz/4AR998gn//t//B968eSMH+6PkgFVlhWlqoc23ootz1nACNptNvowonPH0KUzSohjFBRZ8IAVR0Iyhf9aKfbCxjrubG3wI0vhO0hJ68uQJx92e3b1Aym1VYMsCA5mcf5RmqlYTwpW8Alf5XOn9IF9rUUAMhL7HFgajS4wqsU+fcnd7y9B1VF7AOMoClQKbSFVkVVS0fc/gPX0YOHYdbd9xOO4Yup7oAypEQj9AYsqAS/kM+ruff85iUXK5Lnn/4hmresHFfMX5xRNUUTJYR5+l+M4Zeh8JDIQUqZua4MWjawuHShYbA4fDTsIGtaaeL+gi+JSosl4yTpzEPPZUmsK6SeUyFlNKolIem8hRqUl6/65+8Tdc+L4ZkTYO6m3hSFFUydvtlqqpaeqaDz54H+899/f3eTUJmQgq1/2+beWLzq2UPkOwx3AXHckUK00M+Rt3RkL6jAGjZG6bsV7j7RoeFbXGWsnWUEpsiPAoA9KaoZcAwK5tmS2WkrSopk/DOpPn0aODTs6PKQb5XJOwSmPqhlN1yGdCCymiIkJPJYHW2KSE45IiQSUJ3Ase788FHBkChIhvO1mZ88qirMU1DWcXFzSzgsXcctYsWZQNq2ZJVVeErFbWJsdyTR0DpJCNIfosBk1SHCm/BgI9ydOHlKX9ShGGXtjK5rFitAKVQec+CEBzlPqPz+iW0/nyN650j3rFb1l8Y5ibscJkFtXHjvv7exarJWVV8dn3P+Xll6+4u7tjtVqRYmAYejabDYf9QfwaKUxBKn7wEjWv5Vw15P6QtYa+FbxZZUU8aqwBKz7hqipxhZNwmSxAHc8k1lrpyr/zz3Q+3WmtGfqB0/HE8XDk4jJlXV0CFVFabrYxBWJucBujEdG0FJ/Sol62tuZUizRKxY7k80TGKJRKqJgolJkg21jNkGIeQTqJAo2R5AO+6wiDsKPLusIWBa5pWC6XFJXFVeCSoTIFTTlDG0PMZzKb4+51nreTmGyb4+RoiMIeRIOxkiypsoBDkSR5XJFn9wFnzTs3W0n7DCriQ2IclqlsHRgrTCtFzP87brzqnU7Gtyq+lKVOdVVP7Y2+H3jx4gXGWbq+F3wFkrr98sWvJTct9/Ygyed/8YXYLRcLUohst1sxa7sKozwxe2OHwwlTlNiipioKuXURMVpaFavVirvbezbbLae25ezyAluUCE4tUFY1dTMXcSVi9Cms43A8sdtsef36NZdPr9AZ5Ut6PJvsDjsUirooc7vHMwyd+IeTxmpFUzjCckEcrrh+3QlVSkeMlpVkXE2MdRJ6XGiifrQZqnzbLbVQU4mIIb+uZIVOEWsdyiq0U8yKChUTh+5EqTQUBcYV9IPPfb2CYQCfwMdIJGKdozaO1LcM72gGQQJqsvYYFUOmL0ScVlit8UokdCLvF5WzzQUM8t6ZamvcOXgUxU67zVcXyX9Y8V1cXEzqjKvVKt/YRAData2Yi4ZhEhWOLRdrLbOm4e7tDbvtls1mQ1mIy2w+n9OdJPJKIX7UkAtbKzGF29wrUkqhU6SsSkDRti2b7ZbjUXjQZMmVKwuUM8wWC5r5XA7VIEVbN/L5fc/D/R3tqaWsq8mENLJRpD8otsuU5HYKZE9FnIqnKErm8zn3zjJEgWeKZ3rc5hXGarTTYMWbgRYG9CiiLbWoXFRC+M+FE4ZKlOJJGqKSkRchMUQEMuksqihoxx9ySiQfUFicMfT9QEyaiJ4qQI5oOsucssc4q5xndT15cW5ubzgcT5NXeRwCGG2yvwOJNx0XtXcWt69cLvJx6h+l+EYp1GI+p+87Tm03xUv5wU/AnnelNSoPtru2Zbfdsd/v8YXI71fLFfuiEOZyjBROkqx7H2Vry1lnhXNCvkxygUkpcjgc2G23tG07tS10BgUVRrNYLJgv5tMM0hrDfDbj/v5BjgIP95yOx+nCYZPN1sAkDdxCzn8jbHHSraXHd7YrHLOZBFf7wWeD9jsvvFFoqzBWgdXgDNpairqSPp/SOOMEPpTkh6uNWCVtFGFpJDGEAVeUeV4a0VY4ebpwoqBOomZJIUhqubEc/VE2VPVo4pfmP+JYy9tmDAGdEsvFgk8/+RjnZJpyPJ6IwcvZXcp7IhREJS2iEB59KCNaZjKPw/Sm/9ZnPu/9xFperVZsdzuOpxOkwHw+Y7lY8PbNW+bLheTlKsVxf6AdPHVRcjjuGYaO8/UZd3d3cgE5tUI+UJpuf6RsaixRXqAQKWxBXZZT3oYxFucs2+2Wu/t7CjR107BerQRgpLXcaq1lvljk+IWZzBm15ur8ilev33I4HXn7+g13t7coY8QFpoTa5PsOhWwxRWGJwZOQCUrsOgllTuLM0kpTlhXVYolPslrFGPC5Qq3LBVI4KCy6dChnUUWO0dKWwpWEUy/7mJHilC0ZEnLurW0jxnOlsVVN7z1qEDWxqypCAk9gUTs8Gp8SzllCgtGMqTNxPiVp72it0IWjPx2wWvHJRx/y+7/32xRFwc31DdvtlqHvqLLIIKYk4tnxzwNSXgVBVvlxwZmKHURS9xtU39c6e/u8vY6hL6Pp5tWrV9lIVFKWhQTl9R1VWWCMmIQ2D/fc39/x8HDPbrcT+bi1opjVGudEmVxkpa8zVvp3RlofYiCSwfXwDgRIjbe9vF2Psh+lZEzmCiEopJhIIVEWJeQZrIgbdpyOR0YTU4pCsEKlqf8VYpi29NFZNzWlUSglJHecI2ojIEqlCEqDMSSjSVrhSXgSQYFyjqA0HohKY6oSU1VErVHOoXO4SsoXi5QhRGj5XrWzYDQx+3kV4IxFpwQ5w6TIekGVG/lGPWI3pIcpZ3aSFEhTVxTOUhaO1fJRezg6BeExCeorvby8I2j1yNKZUjnNI2Ll3Qb13/Z8/crXD9kkLZcEkB/m69ev6bsW50R50rZiEipyJEGfOpEy3T/wcP/AdrtltVhi8kVEvjBRkjhr0EkR8nDbGE1dlVMrBqNz5loh/bcgIkxtDEMatXs6F58oU7Q2AkP0ImNXiA/2eDhyPB7ouhOuKvPhWYb9MnVh+kHBaP/MfS2xl0nbQSHFZ5xgJPJ5MGlFyr+PGoKSI74FVBaOppSISuFKmX+G40kIB3nKk7qEUFnJPY9H3VzMt8sYo4CItEEnj5axCc4VRK9yOrrQqhSyEo5/jjFyBFjUJYv5bIqNuDhbc362RmuFMobtbkcIcer1PT5qKsDRpfhOVeYV9x9hwjHm1GpjePnypUwdikK2wLs7Ng8PovNLibYV1p2gbTXbzYbb21tub27pTgN90YnHNAQOhwNNWXG+WtGnyKmXc2RdFTS19A+HYaAwpbwrz87Q1hBJPHtyiUHjB8/ueEBpATKWTc1yvaI7SWG1my2HgxTParVi8OJOk0avR5FbLhkjoRDrJ9FTFoUEsRyPgn1IskK6soL8w3ezJWl3pIuawhaQ75JelKWYkCQHXmuS1vRBMmmTNgwoTJLbOK4kjC0ipUhGo6J8XWEcYynQWUAast1R5zdqaR79vcdBIhkELZzHhkm+3tVyydnZGT/+8Y9ZO8XcGdbrtbz5teJ/+h//Ob//Bz/h1A3c3m351//m3/Dq1RuJnED8NCr3+r5Sju9WZpZehSC0rW/lXnv3/zyOYbSWvtvLly8py5If/tZvyRZg7ePILESOhwMKUR7PmlqmFlp6emHwDHR02lLOZ2ir0Qb640nI8FWFsdJvs8ZOvcbSOWbzGUoroR8olVe7ApTKqZM1TT3D7w6EHH91vj4DpfiLX/6Cw0HSk66co+uFwaeSeFtLJ9/j0PWTQkYjZxut5GI0PpdPntN2nv32wPH2lkJDoRW9GsYDFySNldMrIZt6UBI5FTRoY6mrEh8GkVfpvIprMBmtG5UUW0SKSRmN05ZAIvS9eErypcSaYrrRypBfpjjByFdBgrqs6I4b4imwWCxAKfq2569//YL96cip7djujhwOR2m0v7O0pam98ncVVZqECd8al6Ef9yHquplSfqqq4ubmhpQSz549pSzH1oVIiIZhoD21U1HWVZFjSCXCPXrPkKBTLc1qISYWq1Ahyjly3Hbz+Q7I/UZJLB+NN0kbjLVTNKt14neom4aDscQkIYWr5QptNH/2c89hf+B0OmbcWBpBKzhbiTzLGA45VsEHaY5bbdDoCSVgyfaNAAAgAElEQVSrjWF9fsVms6cob7jr3wgI0hkGBhGWGoMKeQqBGKzJK21KEKMCYyiKinAKmdsix3qdjyVRq8lJFmWBhjHyNd90rTKyzcaIddn8E+XSMp5hrTbSYPbSndjf3aF9z+XVFSZGtvsDP/+LX3C/3dC20tE4Ho+545Ky8OKxd5ze+e+v/vKRtvWPwmoZod7PnzzleDpxbE8YpQnec39/xx//8R/z9OlTLi8v+eEPf4hG0UmbmzaLSlNKzJvZdBY47PekIXDwgeo0k0hOqyWIeb3m6uoJd2/f4KOwT6pZzWyxYD6fM18tsbnYQALxnHP4ENFOUdYNl1dXtJsN7W7Hixcv+Bf/wx+wPl/z5JeX3N68pSwd3//0Ewpr0Bravqd0BqOFun/YHwW3oTTGOoy2MrqKgbIoqaqaannBbPFAPVvSDRFnLVg5n6YAKSRSH4hFRFvJnhMmkGG+WDGcevrOU7uEc2Umug8YbVEJBi9SsSEFejz1rJnoB9v7BwGYzxYc+kBTWlylOaLz4CZlHLBAmWIYiF6x3zzw7/7tvyYetqxmNe9/70PatuPNm7f8yZ/8yZRO6b1k3MkhOH1l9Xv3SV/51fhZv+Fg95uKr6lrgYBn6+N4272+vkYbzXwx50c/+hHb7Zbb21t++tOfcrY+k5vlVoiZo4DSezElF66gcEXm/EYx96iEw9GUNfPFnNV6yf3tNcZKD28+n1M3Na4sMiKtoCgrhigrhg9ZRqTTxJaZz+cQBI3RDz1N0fDBBx+w2YmjbvPwwHK9pjCOYILwVND43kPG/yonW5eE2GTqgiuwZcX97kA3RExRURQ1SsW83eXBXkJWuwhWGa6untJ2AyFCGBIawaj1nc9HDAnJ7rqO6MVQrq2lMA7rFO9/+CFN01AWJa/+6tec9kdOxxaQBM3ZbM4PP/6U13f3vL69RZ96zs7OmTUzrq+v2W53HI8nwiDZyYvlgvP1ipdfvubUtkQShbV5JKcZwmOrZVrBVMqrX/o7Cu/v93zDhaNC6x0hBNq2pW4aSivKlsGL2uT58+eEELi/v+f169dTtsNhv5e4gzz9kAnGiDnToCQZ0vuAsgGT7IQwm82aSZtXVhVVVUvQ9BglYG2WladHRG42i1trqXJv0rctvR8YvJzDrq6u2O53U/N7Pl9gC5sDa+SiMErVtda5/5bDnGPEFAXKWNCWzcOBzgeMK3BlhRpE6e30V65/0tbQlidXT9hsD5xOHX3rqbMzT4isJocmz/DhgRgkk0M7iykdblZz+ewpi7m0Q1I7cP3qDfvNHmUcVhuaquTjjz4CZzn2HYXzvPf0KednZxiUGI4OR5SSi2STKQ8hRgnR1lpmwNoQUKg45BZLns7ly8tjAX712/y6k+A/qPjms8WUv7HZbFitVqzXa+7ubjkeDnz54iUvXrzg888/p65rfvbT/8KLFy/klnt7iyuEWr+97+USMd529wd0isyrIkvkS4qqYjaraRrxvM5mM2arBZdXlxRl8eiNkLwlMWwrR1KaEKSdUZSlxN2XFVVT4/sZdRIOYAiBq4tLXr96zRAGrt+8EYnWfE5RlfRdn38QkviotZzbIgLsjgpM1eC1ZtudePH2GmLA1DXz9Zr97TWn/R6D+JaNTdM2WRQFP/nJ7/P29o6b61t+9l9+zve//zmL2Yy72zu6/shs1vDDH37Oz/78Z+wednSxx1U1y8sznn/8QZZLee5ub3n/44/QaHa394QkozPf9jituDw7QxtDPVuxaCoKa2j3Jx7u7tm7LUbPqAtLUVZEYHc4st0f89bPpIG0RYGKkdD20m/MU9z0tyTpPp7t1AS//NZnvuVyifcDkHj95g1Pn4r18DzjyIZh4Ob6hvlMJiCXl+eY7OD6y1/8gpgbn2dnZ8JC6fppbKVQOadXUnZQiaqp8/lNjMuuKKjqWgLqUkQhDc2RllXUFUXhME56aPOsJBZUr0EZReEqmtlMotizEant2oy+XRBTZKXX2RoobYmiKHPgnVx2tJU+YlFVWdlz4uAHnBbJfbVactxv8Tthr4QUCEmjsHTec+w6doe9XNaamsVqyfrigrquuds8YFWJrUpwRs54KQCai6srVpfnLJZrNvuNJJuTiH1PHAZSkJ0jocB1EhpdFlydn3NoBxmmJcHUDV3H0EmkGPnWnOtlHABLrxGFH3x+LfKGOuJ0E6io84z3cZwGY080X/QzBeGbiu9rW9BN08gKNJtNnlsSLJbLyeR9OOzZbDbs9zvKqmQ+n9HUNcfDET94lJI/Z7RGxhAzLk1PgXo+iMWyLGVrfdeoXjj3VViheUyndM5h8w3VT3QlN6EvZNz1aD6q61raMsB2u2W33XI8CKo3hjippkf5l9Dm8426LFHGMoTIoT3RpYhXEI2hnDWYUqYTAckpDinmGa2n7Ts2+y2BhCtLlus1s+WCsqlJWmHLElMWDCnSR0mXRGsWiyXzxRJXVHTDQNt3dEPP9uGB9nB4zE4b4Uwjob8oOB3EYxKjzK2D99mCMA2qgcfTWhwXhTzLzdqC/Bo8NrvzHvxYJH9jpZO21GOeytc9X7vyzWYzdvstMYms3XuRrD99/ow3b96w3W5JeVsbhoGbmxtur294+cULbq6vBWhjHev1Gc+ePZPPeXtNSq0INY2m61qSTmhnqJuGoixkhppHNdo5Tn2HLtwUNq2UcJDLsqQqK2l8Z8p9aSzr9ZqicF8ROwhBf8nF2TndqeXVq1fcXF9jtOby4oK6btDGTp6SlC2PMYlINBnNsevZ7A/cbXekssYrRaegXC1o1kv6dk/oj/QqApId7EMgnQ788le/4nsff8p8ueLjH3xGvVqIQEPBarXAFZbrzT27vmUgsnAVVSOpkaehY0jyRj/cbXj7i19hIzSmoDAOU5aUdSPp6H3Hw/7If/7P/5nPPv2M956/R+gkHbIoxDk4YjESMk8fBk/fDZiiQhvk0pG9LHVRTiO2vy1FUqYvKt9TdKb+/2bP1xbf2dkZu91GRlRKcTgcuH+453uffMTV1RVKwc3NDc+fP8daK56BjRACRv+s95772zvqUqLjF4sFWlvJxVCBaB5nqDJuk0ZsWVXUVUVVlgxZGygKZjVhw0zmNY9+hNPpSDQFi8Uiz3g1xlkeHh4wxnB5ecmTJ0/w3nN9fc1uu6NpGkDaEqhI0pq27aeRV4xJZhcq0voBHyPKWGxVSt/MD5SFxTUV5azh1O3xEUwMuTcnt0efIkVTMVvMORxaoYQGuVQkrRhSZDi1dD5TV60RP0rb8qtfv+TNzWt816H6gffffx8XFWoIvL2+xSRBizjruL654cWXX8ouBVgtSQLOiozLx8eR2RDBFQWzxZyLq8tsZE9y7BhnuuhH74vOM2felfKMRainlS+Fb7ZNwjdtu7MZRVllCZLN9M69FNF8zny+YL/bizEmL//d6UR3aiV5R2mIAhTyg1BHRyGBYM1KSldQWBEYCB0TBu8pqxKXz27RR8m0zf0rrXWG7siWO96ifQgM0WOrAlNYtDUorcRPMQwkYH12xtnZefYTH8XbMfSoPLJSSdjLMUjgdEQRkyKgOfWBLkI0DpdRwCkpaXaXJa6uCGRuS5aq6/FFTtILdPkY0XUtfhgykUHeVKeul+lHSkRkZ4gxsNttBcl2OmGN5eryklVOP5deqEyAtFZ07Ynt5gGiQB2dNTgn6OKkNOLMzdEFITJvGs7Xay7OzmWRSTJdKYzFGjvNaseG9bjrPm61fPUj186o8fy65+tvu+slRVOjrGO5XHF3d0vbnjBKluOmKOkOLbu7B5ZVzaxuiKcef2xZlJUEpjAQUqDf70nWCQukPVI4w7Keg1ZUdcVytcLmbN7dYc97H3xIMZtJ8zha/L5nr3acz84w2lLP5tOs2VrDarlEGYNXcKo1uilwVUkE5mcrFudrhpR49v4HJCT7tz2JH+P+7VuuzpYUVsw8SkPSWlYu7YhFSXQ1b+9bhlgRi5q5NwxRMWhFnzrUbIaL5wyvX+JSQnloPITkcbqnHDw2RuLQc//mlfQ16xm//dFnHE5HHnYbvty+ZYiOlHp2/ZYuthSV5v2nV/jjnvPVms8/+oS5crx++SUvNg90eEqboIKkBvxwpD/taaxhXhrmtaWuFyQ3o7MNhxiY60SdFHF/4rc/+pCPn15h+shPdz/jvj+ChbqqiSmx8+JqM0llIUc2FWUSm1Kgc2D0KPBTmCn/4x9cfKM2rqqqSXURQ2Sz2TCbzbHW8vOf/5ybm2u0gs+//xlt20p75nikLMvMSqll9ekHusx50aogRE8YoohBy1IwGbGjHwaKfL7TWvPs6TP5RrXgOmKU6UlRFHn0lSGFIRCShK3UVU0zn9GeOsF86Qy3LEsW6xWfffYZP//zn9F1HQ8PDxwPLaicKqQ0URswmqZqOCU4tie6Xj7HuIIUEFGDcqTocUWFamaUdYPxQlv1mfikQuTu7o6+PVE3DbvdFhUUfgi8/5Fl2A4cDwdur69xhRV51dBze/2WxXrF8ydPOVuuiP0g1NQv37B72HDMCBBrZQKTkKZ7SuK9aLvA/hjYtyf6IMJXWS1bOu8p6op2SNzvTrx8+4YBMGWFspZj3ilsWeCjpAAwylFTgiTA99G9MQoJlFYS8s3fUDj/Lc/XbrsjZ05aF3pCVWy3W4qyyIxkzWF/4OHhYYpEHaX1SsnNsSxLEuCDn3BlIYacJ5tNQ2U1zXFHFIY1NlNRH/VjITxK3MfD7fhnjL+OIchNuSjyDyODrvPNrShKnjx9OlFVR5FsPwxAtlaODW0n78++FyN6Ioc7I0JPmawYjBUtYVFVoiccz1fINrzf7Xi4v+f+7o7ddst+t2W/33LYC83ruN/Td62obUTrxXaz5bg/oIF5LeO13WbDze0N+/2elLsCiTRdBoWELwGE++OJu4ct2/2O3vf59qoYQqTtBw6nE7ebLdf3D9zvtniSCF+dxafEkOT3ok/U0/Rj+lBjkvrjbVjx38eU/V3PN8525/O5HOCdyWeyyMsvX/Dpp5/w5OqSpqk5no6ETCY4HsU4XlXVpBVTZFFi9Iz2xJS32NVyxXw+5/JSYlO7Xpq9FxcXhBjY7fd88cWLqcF9fX1N8J5FM5PVxXsGP1DYgoRcCLochKe1yTaAAe8lg6Lre5SC58+f41zB5nDgxZeveP/DD1DWUNQNZVWRtGVQhoFEPwyP7BklGRx+0vYpYtYSWgWz+ZLBB+IQ6H3AFRaVInf39/y/f/qnFHXNfnekcRWn3R4dPG3X0w4DpdPEoWWICbzn4faGvmtp82t62O64v76BXhiHZV0xdCeOpxPh7o79nw/cbeTWH6Lmiy9f8Or2lpvtiUM3SOvHe6IfSPuB//T//ZTd8chmt+N6s5FJjbOgDdFKTGuyMtOOKYlWMZlJjCFPQvbYcQT3KL79pudri0/AjtIkbpqGoio5tSfevHnD4bCHqysuLy+5u73FDwMvX77kcNiTorzo8OiAG7dF2UqBFIlDpKrqzBZ+wny94mGzZbc/cHd3hytkAnJxeUZVPsr0Y5CtetY0zGczFrM57dBjS0udSpqmwj/cc9rvpM/W9bRT6vlJVmYF55cXDL7n7fU1Q27WplE5YixWW+53B44ngVpWZUlEE0igc7gggYQIYVGG2WLF/tSKikernEAuq+h2s0EdDnLc94E49Lwe5A2TtEIVRn6W+UKQfOS0O9AdWxEI+ICKTJOXPngwRo402y3b04kuZDah1myOe4bdnv0ASUv7KIYo7Swd+cWLX9MPnsEHXN3ko5X0X4VGLwIJnXKYlxJ/clIitdKAUjndcio6JjLXtyq+vu/FG5HZe0W2M+73e47HE94PrNdrjvs9h2HgcDiI6x9RcZCkB2StwXu+shxrrTLyVry4i8UCa0f2sqPrWlDgKHJYTEGhVNYVyhZrjMjvnTX4JGyYSEJnQn3TzGRWmcUHcYQfZn/CxeUFp9ORV69e5RRu6fJPRBdtaFs5g6Y0bu1apE9adoGUIiPnBWWomhltKWQBqWPDaLoeBlEdF4VkCQcPfdtKMRuNc9m7QjbhIE4zP/iMkBNbwQjdDoj0PyZJdQopkZQ0x2OAIQa6kIjKjJpZWZGsISrkDRlENW1dIf1MQIWI1Tb/PWS7uUwwYi68hIT5jBIqPc531T+SkvlwPEpg3vk5i8ViYuVtdlvu7+/ZbLY8e/aMzf19znCQUdz4V7si84fLiuOxnXpBY3jfvCmpq5rZfM7Z2Rm3mwe0ljShlH2lfdfzsHng/fc+4Hvf+4gPP/yQh4cHXn35SkJOUkIDhRPwDTGAj6JefnJFM5tPmR8hJZwxqBDwMfDZ5z+gKEv+6y9/KRNLbXB1LRtKNqce2xO9T1JskGGIloDLZ9aIVqIyTjoyW53R7/bEtsfEHmUy6wQkFsE5ZlWJChGjNEVhcg6HQqWI0SJ0cMphcgvJaI2yeRKRjw5RLpZTBJUCXFEyZDudDx7lLEVpMBS0Q8D7KOlFOhK0xjQ1JpL9LozZrUD+mnKPMyT5qUYUYSrANI3mhG1Dnn5kQzrffOH4RiC4tYaidMwWc6q6mkjwh8Oe3W7Ds2fPePHFr3l4uCOFSFlWsm0oRV3XWCMK59OpRWlwpRMKaFZFr9drnlxd8fz5c3714gsSMlNer9cUVYVz5XRR+Yu/+HOMMbRtm9kqPYfjHrsRc01ZlZRFSVM3pLbltD9MLORxbDQejiNIZGtd8atf/zVvbm6p5gs+/vwHYC19gGPXM3hZ2ZwrGCZLphYxqJKTT5ELOkVFUdRUzZwwbwnHPTEHGaoYJxi6EBWksEIaM0lkhxgLP6gk0amMq1/ILQ65tWsFgcjgvQhWR9GqliIxRhFQYnnUYJLMqlNArJVKTRe6FBIp+Dz2FFlYStI/hISPikiUPqEWJElIgSjLXP7IwlOEYPqbLH5fW3xVVdEPHQxMt173DtXoeDwyn89p6pqiKDjs9pK1WhSEYZBZrTFyVlFyHXeFxFg5o3FaSJnj7Df4gMv6vbKqKMoSV5QsioU4z/Z77u/vOB4P+OAlTyxvpyrfEFV6B3BUiKp5xLr6GCeWi7GGZjbjPF7y0Sef8PLlKw6nk2jyjNgn276XgtVaMoVzevd0xlGgSHlbZTpou6KkqGvavs3n8jidhfQYVTA+U+P2XeTE40oyZvROK4lS0xYqN3MjJIFsIjJaYZUWp6C05eT7NTrf0hPaKJJJTCezlORsmsiN8exbQST8SQu1IYecZjOVbLkSLv1YadOKyLdc+c4vL7i5uWHY7pjP58xmUihb5zgcjzxsN8znc9Zna+7vFtzd3FIVZQbWeOkPKk0bTvkFEHFoVVVYrSlRnGd1x/F4RGtDM5tzdXWVu5c6S/WfsV6v2e12vPj1FzxsHsQM1D8RJMbIbolpwoBppSnKiuVKsGZJKdqulzcHMr1xRcHZxQX//F/8AS9f/zuObcepH2iqGUMY2B+OkgQ5agWzFnEE9EhBpMeVJ4EPYjRq5kuG44EUVJ6TCjm0cI+xUqhcjCkRI4TBi4BBaZGN5ZXPaoMrc59VK/ahF/UMibqupb3kY5aWabR11LbIfGZZGQvrMMoSVETVBgx0pxMpKZQFV2jSILYCFVJ24EU8cuGQaAQEIzympEKmK2RxaUKsnDAV4D+4+J4/fz7F0jezGfPFnGbWkJRifzjw8LCdts7Lqytev3otBqIcmTU2mbVSAnD0fiK4F8ZQOcfHn37CcrnkYbuZ8LOzxQK0xKkejzICK1zB+dkFJE2IkePpxOl0YrvdYJ3l7OLiUcYTE3XTQJJxWp8VHcIHLKiqkov5BUOKlEXJp9//jE8+/5yE4m6z4RASp27gcGyp5gui0gwxK33H8xsRjBSeeefd7kOQcdZszr4sUdFACsQgozOlIkYZjJM3aVKPLGfjrDTEjUZZwzCItMoZh8sXpyH6bB1VJCM2c6MMRZ679iT6KGfHpqxwpaIdpGBUjDilCf1AVJEKBSN/GcBKCywoOULIFl8SO+m96qSFexgjOoQJS6KVlvzkafqRL2zfUIBfv+3WsvVZZzGDHJaLvJWKAVkoVs46UZc4ychIKdHl2/GooRvbLVVVyRbuHLOyZD6bY6xls9syXyyo6pqUyK75QD/0dH0vUqlS8izqupmC6bqu43A4UNb1dCYFUMZinGO2WFBsNsI17jrmcYZSQj2wzkmAdVny9NlzAQodjuBqfMiOsVFahFw25Eye0DqhU0TFIGdAsqA8RjAKbY0AHwe5A6kot16tZAsfvcfj5EhpWbFixlqMKz9ZfqatQRRR8mdjDcqKE1C98x+dlDg2STitRcQBsqolcFozkOlSWZ42GYWM+I2jUtNql1KSbThKzJWQkXMWW8wBf0BMalIBTbi0b7PtamupZw3z5ZLT8ZQLoJzQGKOgVCtD4UrqrEA2WuNy0QGEDBU3xrDICeVVWbJeyNluCJHNds9Hn3yMdQXHtmV1cS5ZYMZyOnU4V9LMJMJgPl9QV7N89hRYpY+R8/Nz5vO5/HCyCHJ9ds7d3Z1EJxwOrNdrtDZUVUPVNKAUbT/w0Sef8Pb6ll/+1V9Tzs6IWqGdo+sHKWQrxP2UXWNGi1Yv9T2uqQn5EgNSnEkpmuWSw3ZDjAHrytxGsjIFyec/WxQTlV4ZS/LC1iPFjBUR59xo5iFJUWNl/BcG2QNTEkKD6BANKniczqhhownIeMwZg4uRiPy7IQaJVwC5yRKz4FQYhX3OZFMJGALReLRPEPIWnUSMEZPOHJfHacc3Pd/AaonMZguePX3OzZu3cpNsFjhXQO5xbbfbiUzlcqrN2E4Z83G7UzvFlTZNQwiB1WrFZ9//jGax4NQJOer84opI4tCeqOoZxhoWqzXX1zfYwn3lzCgyoZK6bqibCm2ESN91HfNyQYhJLITGMF8IUvb+7lbQHdayOjvDpYjO47Gzi0uUq+iSphsCPgBKjD3jShW93AjLwhKSZ147UmnYPTxgGC8jWihVGlysqYKXgksKmwkC7anHlk5IDUq2abSi94nCVSQNg+7BGlLShKhyWqVkfJziQO89Q+tpqhoVIviIsmJODzGwKEt6NIMP2JjQ0i+h0hqf+47OOLooSA/hGwogyOXeYVKaqraZfhVJztLHAM6inJNJEhJz2sVBsLrJMORA6W8HBNeaoihpmhk2G7LrppYbbEjEmOiywdrnuShI72ksxJg9AaI+kYC9EILcNC8uRClsLM1sTj1rZDwWAmVd4ayE9o3Q6oToz4rs7S1zEVZlRVSifDbW5G9a3oEu/73j9h/zYd9mrZ4ychTwCYrSU5QVnh4ShKSwTmRdctR45LmkMExnzMKaLPOXEBW5HStcVRHDQFAKFxOEgEJk+rYsZNvTWnSJWrY2bRxJR7TKq7dgQicwpLRpDCYlos6WTSIpCkFU6FVQOiecjCA9SqzgMwiJzFHFAE5pjJYtciRuhSSmoqTEZ11mU1HIrr5EPuflbJFxaCC19niD/lbbrrGWqq4Y/IyyEu/ssj2J0jcEYpDiOxyOHI5HQE3Bb2VZUhYFfvATTKYoCpqmIcbIcrni/PKKEBNKW87OL6hmDcPgKbynmc2m+AOtDTEJAFHOdjV108gFqJlRliUBiegqqzJbKaUwyqqeHPTjcUFp+XUXAjop5oslu1MH+kRUmrqeCYEqpJz9IZrB8QyUUiIkOcypmFjOGplCeC+3Xy0D/LKcoWLAK40Jgf4oFIflcoWpZKIwpIA1BSYDI4OPxBTQykxoW+UMQxDyqQ5BMtu0EY6htURC9rlkf5XSVEbiHHRKWFtglIWo2G12TOzlBEUWbDjrHuX4MbDPcWKlsqAdgUgXAzYZeQPny4rP6h2tVW5Ev3M7/obn65vM+RxSuJLz83OGvuew37NanbHfbFAKDocDDw8bDjuJokpR4ZPIyLfbnTBO8oVjPANKBsdAiJGf/uzPWK3X/PC3fsj/9R/+IyFFXFHwi7/8K84vL3j67BmzxZw//7M/5y/+4uf83u/8Lne3t9zd3lLVNVorZrMZf/RHf8T1zQ2//Ktf8ad/+v/w8SefUVYVf/ZnP5t6c0YpNpsNy4z0/ejjT3n95g3/2//+f/Dsw09oB8+Xr99ibEnb9Wx3e5bLxdTHW8xnPHv2jGfPn/P2y9e8evkl99d3/OR3fpf9bs9ut+PYnXCFw5aWWV1x8+pL+uOBDy7PwXvqouDi4oL/+z/9J3bHI+9/9CEPmy1GW55ePGV3v8EWhrNn5/zyl7/AoLlYrTm/uOB0PHJ3d8dytaJuamZNwxhjb7ThT/7jn3B+eclqveb//Jf/kt/5vZ/w+Q9/RFU23N3esd3s2D1s6bWsyr/12ee8/OILhq7lwyfP6PZ7uuOJ7d09zy4vCcPAi5/+VxZnK5JSHNqO4ISk4I2mPlujlbRaXF3iowT6MMSvKarfsPh8nida55jN5tPWOZvN6FuhWO52O7q2I3hZoazO3lwNx/0hd/XJiAjBdJnsh227jv3hwGK1Yn1+jnUFoe/ovedhsyEqRTOb8/TqqeRr9JL+eHt3z9vray6m9op0/du25fb2lr/8y7+iKBtm8wW3t3e8//wZxihefvEFDw8PGXIt31dKifvNBtPcMvjI/nDA2MBmu+P1mzd8/tnndF3HdvPA+++9x9MnT5jVNd7Lil6UBbvdnt12y8Nmw4tXLzm7vGC+nPOwecChZN7bdqS+RyexAzxsNtxvHlhfnktUbFHhnllOpxPGaxb9ImMuoPee/f6QUXUHqrKehAdGJ2IpCqLdYc9sscB7z9s3r/n+9z/HKYWOkdNhz+bhjtOxw60WuKrEE2n7jtD1OOvoE8Ru4Hi/Jc2XmBixPuF3R3xKQhirS5IzqMJhlSBzdVLEfCGK8Te76cI36PmGXszWQg1YUJYV1ro8561RynB7eydBgEk6/WVZ0TQNTT0DRKodghhWxo+6ajDOsd0f6PoeVxYS5R8AAAscSURBVBY8ff89nr/3HquzM5Qx7A4Hdvsd+8OR9dk5Z+cXrNZnoAXf9fr162n1jEmwGcfTkdvbW16+fMmXr15xfXPDMHiePX/OkydP+eKLL3j16hXbzVZu3VWFK0tcUbHb79kdDviQGLxIub58/YqqkkJ7+fKlyNh1Vk0rxXp9xocffo/Ndstmu+Nhs+Vnf/Zz3lzfcjh2/PUXL2gWSz786GOGwdO27ZRFcjod2GwfOJ1OUpgpcbbOQPVM0npyecXFxQWuKNkdDhyOJ0k2UgbfDezuHzL2TT7kgi8/9O7UomOisga857jbcn9/R9u3NPM5y4szTkNP73tCiqJasg4VE6fdHn/q0CGxqhvCoaXfHhiOJ+g9OiQc2eWnBYCOHmfYuU30bVc+UKQkV7T5csH5+QXH/RGlfoFCUmuur6+pXclsjEXoB/zQczjsKcpyCouenGTAh9/7HnUzI6bE1dOnnF9cUpYVT54/o17MWRyONAtBej1//pyQIueXF/z27/yIp1dPuLy65Hd+93c57ncSObpcEkPi8vKK3/vxj/nk00+JSLTp82fPuLp8glaJP/zDPySlJNT8JIEvTdPwo9/9HWzZsNkd+fWL13z48cf8IPw2P/ln/5zSFTx79pR/9pMfo2JkuZhzOuxZrs4Eq4FmPV/jvZDlP/z+Z2I/qAuu3l6xWkjG7/nVJUWI1IWja498+vFHPHl6xfMP3mO9XmO15bDdcr5aUpYl710+Y3864qNEiLqipD+1HDZbVs1MVDFhoKpLOj+wPx747Ic/kLGkdfyv//P/wtXFJSoESJ6nV1csliuwFnt2BkXJbrfl7PkzCqXZ9Cc2oSM0jk9//CNc7qM25SW6X2RfiWKwiuQMlAU9kT4lItD1oqpRWQgB3/a2+84h21pHM5uxXC2xTswzpETbdlglXOOyLInSo8gmH5luFEUx3YqU1lxdXeGKkof9gefvPefs/IxhGJjPZbKhrOP86pKmEeZKTImmmfH06TOW87l84cayK0tW6xWr1ZKu7yiqivOLCy4urxi8WALXqyVPLi+IwXN3+wSt5TIkACNBR1xcXNIHSMrx/geWupkBUFWN3AidpSocMU9ojscjVVOjkhZHmHZEH+XgXVeY0gqbj8jcGQqFJIsPPZZEezxycX7GMi5l2uMcGkHyXpytcdZhkqIuxZAUlLz+pXWUxrIoa1TOCbGl9Oq6OIiy0IgqZl7OhUMzDBhnqOsKW5Z4pfBWvC5pnDUrzWAUqZKWj1YiSiAlYjAQTL7MaFL0AsS0Vtx85P7gaCJXWuaM3/a2K6EuMbNQHPP5gvX5GVVZSkaGUnRtR+2KSTQ6VvxYeKP5O2TQTllVPH/+nKQ027blo48/Zrleczq1zGZztBOe8ceffIJSmmHwdKdWWjF1g1GPzqiiKHj+/Bnr9Yr7+/tpPFdVFSFmrL/vWc3ndO2Jm+vrvCMkDocDIDya8/MLbh52LIqai6fPub3fQFI0dUFdOpHxK3BKQmwO+z3lvMFmY02PE1FETDTrNV3oGaKnbiqKFLBRWDLxuCd2LYf9jovzc7SzHIeeophhlMZETTNfQoS2H6ibmmQ0IQe06KJk1cyYFxWGHG5gFFhFNIqHwxYAg6bE0R5bhq5H60JaU9YK/g3R+mlrxbivFd4ZWDQoPzCEIAUG0iqKY6K6Zmh7kVgpxbH3YicYUSZK1DqZhfrtVr4h54QppSb+3Ww24/3332e32XDcHTgdjvkmW0xEK7lkaLntJtHWjarkxWIhf7YfOLYnFsslTTNjiJH2sJeWgVJ0XT+dk+qqxocgMaXO0XadmGe0pm1b9ntDXddTTuzDwwMxyvnDGsVNJygJpRT7vXxNRSZC2VLlRPV7et/TDqK2HoYgHGpmpODxfUdTVxitcK5g3/cQQPtE7ALGCAt5tzvQxQGfAs7CqT+h/UA9DDjfo5P8YO7v70laUcxqurZFJ01lCoZ4xCiDtZXQFIwU1piJUWpL97DHGYmoig4GAj0BWzmGbmDoBhpbosLYfxNKWIiRLni6kOiyfMoHTwyRYxhAJ6IO9L4VHCqQVCKaLI5Jnlgk6fGGBJXLvKeE1jJyDXFABf/tWy0mL70kOUxKr67k6skTfv3Xf519sWRAo82K5Z6+O0loX/BCM+hOIreuS9brBX1/YoiJpq4xzpKMkn5RSvmCEuQHi8ZomxUcMrY2RlFaQ2UMp1YAlNZZYeypQuKqQhItmpKmbfSeRKIoS4aH+4m91/ce45Tw9uoaf2o5dh3aFfJ3auhSEEGlQsSeSeaZBPHUhuQJOmTPr8FHRQiKEBVDGMTlFhR9cpQpYmPEhEhKQvBKvSZFeXP3QSYJWhsGPVollGx7CplA6EhIAyFqwWqEjOcgYgbQwVOkiPYelbVXKfU58Vya0KJYHnOL5SOFMDFYUnz30qCkJZ3y1ppFpyP+TZqRuQc5enV/A8/uNxafReThEgtlsEYcYU+fPWW2mGGcmLKNG5PAReDZtkd0ihA9KXi60xGjwegF5+crTqc9SRmWiwVYQ9CKIUY5P4RI6MSrYLUhuYI29VJ8OmG1onaOUBRs7+8wGoqy4Ha7kZh561BJ8A0YCWRJUYb0VV3hfaBte1CGvvdUjcSrNvM5bYi0u4NIhZQiWThliFGy4uNVKaKSwnhHTAFPwJuMgouJmAwpREKIHKMnKEhYCjRVTLgQaUKkUAEdI7E7garkMJ88EQ9Gi+kbMd6bkGnvKAKBoIKgOpJHJzUN91MXsCmjoIOXbRPJzohJQOXy1hGTUAhR7LZxpM6HXG5fdZ5NNPp8lFFRpPay6kmkl8rZIGPh/U2C/d+7+MYJw/jrcYyyXC55/vw524cHHm5vppnqmH273WzYpQ3OilRoGAaqumY2Ey/I4XBA24JmsZxo91priaSC7M2NkL0CRhsCksw9SrOAiZvsQ5iyePs4HnzfGW4rHi9A79zEUhKb5TAMzJqGIUR2p47T4IWgFSP0w+RRCCFMKUIqGRISOTUkPwkOQqfpe2ECtqnNyAyFxooXZOjRfUugRSvJ4ZCGgkErg1FBgOAagpQBBkM0RgZXeR4clSJpBCdMzshQCot8mKintkdUOUk8XyR88gxKVCpf/RDxwfj6jc/470cd4vTaRb7y+/T3KLxvLL7HL0D2dPm93F5XqxVnZwLajjnjK8bI0Pec2pah7Tg/W0lkgfeTj3a8fKBzyEr+xvR4KUlqkksRReojwXryIkvebsz2y/iYNuScrDwxYpXOHGF5gUevw2hCR6mvvFAxBCFZ5ZvnoRMec4giFzdakpFGYrzRhhC9rHoEfPKkoIleEwc9od/GkBnyFpfe+UGHJJslkOeyiJZPZWp9jplPYys2pan4vAoyh9Wj0pnH6AgRVuUi0tPPJ+oxSkFWz6jNdJkci0re8P990YyfMxai/O8jJPLd4ntXUPCtVr7HP/ir/LWiEBjPcrUSLVcUPFfIq0jXthx2e9Yracb6MBafe7z5uvSV4jNKEWNAq5HZ8ohe1XnFHWVcOgnxPL7zDnPO4ft3CnOEaccxqyMXn5KNZ9Kx5RfeZf3hmF4ec/H5KH5VrfJNPkvbfQx4vJz5CJkno4leCY4syjEBnX0YvDMXjqIDnECLRkSmioDWSWylIStDxlchxnz6Ungei4842iiUEOiVRqtRdi/FG6NoE6ccD+IU7PfVFe1xLPZuAY2737v/7HGH/eoq95sWHoD6TT7pu+e75/+P5zeHqX33fPf8Iz/fFd93zz/Z813xfff8kz3fFd93zz/Z813xfff8kz3fFd93zz/Z898APtd30aCzO+0AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "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"
          }
        },
        {
          "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"
          }
        },
        {
          "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"
          }
        },
        {
          "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"
          }
        },
        {
          "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"
          }
        },
        {
          "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"
          }
        },
        {
          "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"
          }
        },
        {
          "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"
          }
        },
        {
          "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": {
        "id": "vuEqUmjo6BB7"
      },
      "source": [
        "# tfidf_matrix1 = tfidf.fit_transform(books['authors'])\n",
        "# similarities = cosine_similarity(tfidf_matrix1, tfidf_matrix1)\n",
        "# get_similar_books(\"J.K. Rowling\")"
      ],
      "execution_count": 99,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DSL1dyNq5mQd"
      },
      "source": [
        "### 21. Desiggn Book Corpus"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "he3Avlmd5kJM"
      },
      "source": [
        "books['corpus'] = (pd.Series(books[['authors', 'tags']]\n",
        "                .fillna('')\n",
        "                .values.tolist()\n",
        "                ).str.join(' '))"
      ],
      "execution_count": 100,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qQHyoA5D5xfD"
      },
      "source": [
        "### 22.Calculate Similarity with Pairwise Linear Kernel\n",
        "Reading : [Linear Kernel](https://scikit-learn.org/stable/modules/metrics.html#linear-kernel)\n",
        "\n",
        "* Ngram\n",
        "\n",
        "![](https://i.stack.imgur.com/8ARA1.png)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2oBJt2igItmh"
      },
      "source": [
        "# Data\n",
        "tf_corpus = TfidfVectorizer(analyzer='word',ngram_range=(1, 2),min_df=0, stop_words='english')\n",
        "tfidf_matrix_corpus = tf_corpus.fit_transform(books['corpus'].values.astype('U'))\n",
        "\n",
        "# Moel\n",
        "cosine_sim_corpus = linear_kernel(tfidf_matrix_corpus, tfidf_matrix_corpus)\n",
        "\n",
        "# Build a 1-dimensional array with book titles\n",
        "titles = books['title']\n",
        "indices = pd.Series(books.index, index=books['title'])\n",
        "\n",
        "# Function that get book recommendations based on the cosine similarity score of books tags\n",
        "def corpus_recommendations(title):\n",
        "    idx = indices[title]\n",
        "    sim_scores = list(enumerate(cosine_sim_corpus[idx]))\n",
        "    sim_scores = sorted(sim_scores, key=lambda x: x[1], reverse=True)\n",
        "    sim_scores = sim_scores[1:11]\n",
        "    book_indices = [i[0] for i in sim_scores]\n",
        "    return titles.iloc[book_indices]"
      ],
      "execution_count": 102,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lASNE1o8JVsH",
        "outputId": "cd2415b2-0a7c-4b0c-cca6-03ea8a5d2a78"
      },
      "source": [
        "corpus_recommendations(\"Twilight (Twilight, #1)\")"
      ],
      "execution_count": 103,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "51                                 Eclipse (Twilight, #3)\n",
              "48                                New Moon (Twilight, #2)\n",
              "984            The Big Short: Inside the Doomsday Machine\n",
              "827     Persepolis: The Story of a Childhood (Persepol...\n",
              "727              Brown Bear, Brown Bear, What Do You See?\n",
              "1607                      Paranormalcy (Paranormalcy, #1)\n",
              "4066                             The Eight (The Eight #1)\n",
              "72                                The Host (The Host, #1)\n",
              "2009                                        Black Like Me\n",
              "55                           Breaking Dawn (Twilight, #4)\n",
              "Name: title, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 103
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZGY8j-VtzDxm",
        "outputId": "c16e44d9-6c97-4bdc-dd13-df3722a28112"
      },
      "source": [
        "corpus_recommendations(\"To Kill a Mockingbird\")"
      ],
      "execution_count": 104,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "7                  The Catcher in the Rye\n",
              "4                        The Great Gatsby\n",
              "31                        Of Mice and Men\n",
              "27                      Lord of the Flies\n",
              "129               The Old Man and the Sea\n",
              "128       One Flew Over the Cuckoo's Nest\n",
              "776                              Jemima J\n",
              "463        Holy Bible: King James Version\n",
              "57     The Adventures of Huckleberry Finn\n",
              "127                            Steve Jobs\n",
              "Name: title, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 104
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "L6EgR6FA6_wx"
      },
      "source": [
        "### 23.Author Recommendation using Linear kernel"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TiL25MAKIzV4"
      },
      "source": [
        "tf = TfidfVectorizer(analyzer='word',ngram_range=(1, 2),min_df=0, stop_words='english')\n",
        "tfidf_matrix = tf.fit_transform(books['authors'])\n",
        "cosine_sim = linear_kernel(tfidf_matrix, tfidf_matrix)"
      ],
      "execution_count": 105,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2zxyJ2mXKtdQ"
      },
      "source": [
        "# Build a 1-dimensional array with book titles\n",
        "titles = books['title']\n",
        "indices = pd.Series(books.index, index=books['title'])\n",
        "\n",
        "# Function that get book recommendations based on the cosine similarity score of book authors\n",
        "def authors_recommendations(title):\n",
        "    idx = indices[title]\n",
        "    sim_scores = list(enumerate(cosine_sim[idx]))\n",
        "    sim_scores = sorted(sim_scores, key=lambda x: x[1], reverse=True)\n",
        "    sim_scores = sim_scores[1:11]\n",
        "    book_indices = [i[0] for i in sim_scores]\n",
        "    return titles.iloc[book_indices]"
      ],
      "execution_count": 106,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "O2HU79ikKx03",
        "outputId": "6696d440-dca2-45a9-f481-959942cca7fd"
      },
      "source": [
        "authors_recommendations(\"Twilight (Twilight, #1)\")"
      ],
      "execution_count": 107,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "48                                New Moon (Twilight, #2)\n",
              "51                                 Eclipse (Twilight, #3)\n",
              "55                           Breaking Dawn (Twilight, #4)\n",
              "72                                The Host (The Host, #1)\n",
              "731     The Short Second Life of Bree Tanner: An Eclip...\n",
              "833                         Midnight Sun (Twilight, #1.5)\n",
              "1618    The Twilight Saga Complete Collection  (Twilig...\n",
              "2020             The Twilight Collection (Twilight, #1-3)\n",
              "4087    The Twilight Saga: The Official Illustrated Gu...\n",
              "5295                                          The Chemist\n",
              "Name: title, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 107
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZmHg0YOR7R6W"
      },
      "source": [
        "###  24.Book Recommendation based on User Interest"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iqi1GMGzLDrf"
      },
      "source": [
        "newer_books = books[books['original_publication_year'] > 2000]\n",
        "\n",
        "df_books = newer_books[['book_id','original_title', 'title']]\n",
        "\n",
        "# We are left with the ratings that have been made to the books from the year 2000.\n",
        "df_ratings = ratings[ratings.book_id.isin(df_books.book_id)]"
      ],
      "execution_count": 109,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BkDD55mGLJhw"
      },
      "source": [
        "# Count the users that has voted more than 100 times. \n",
        "user_counts = df_ratings['user_id'].value_counts()\n",
        "df_ratings = df_ratings[df_ratings['user_id'].isin(user_counts[user_counts >= 100].index)]"
      ],
      "execution_count": 110,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xOPyQqvsOhPS"
      },
      "source": [
        "df_titles = df_books[['book_id','title']]\n",
        "df_titles.set_index('book_id', inplace = True)"
      ],
      "execution_count": 111,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ytfc1PnYLKb_"
      },
      "source": [
        "def recommend_books(user_id):\n",
        "    \n",
        "    # Getting all the ratings that has done the user\n",
        "    user = df_ratings[df_ratings['user_id'] == user_id]\n",
        "    user = user.join(df_titles)['title']\n",
        "    \n",
        "    user = df_titles.copy()\n",
        "    user = user.reset_index()\n",
        "    \n",
        "    # We get the books that the user has not yet read. \n",
        "    user = user[~user['book_id'].isin(df_books)]\n",
        "    \n",
        "    # We check the predicted score using the predict function and getting the estimation.\n",
        "    user['estimate_score'] = user['book_id'].apply(lambda x: algo.predict(user_id, x).est)\n",
        "    \n",
        "    # Sort the books by the estimate score that the predict returns.\n",
        "    user = user.drop('book_id', axis=1)\n",
        "    user = user.sort_values('estimate_score', ascending=False)\n",
        "    \n",
        "    return user.head(10)\n"
      ],
      "execution_count": 112,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yY5dgKd-L0xW"
      },
      "source": [
        "from surprise import SVD,Reader,Dataset\n",
        "from surprise.model_selection import cross_validate\n",
        "from surprise.model_selection import KFold"
      ],
      "execution_count": 113,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "l_iPC9CUvcfG",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 313
        },
        "outputId": "42dbd3d0-f898-4871-8e5b-40537a0ddab3"
      },
      "source": [
        "reader = Reader()\n",
        "\n",
        "data = Dataset.load_from_df(df_ratings[['user_id','book_id','rating']], reader)\n",
        "kf = KFold(n_splits=5)\n",
        "kf.split(data)\n",
        "algo = SVD()\n",
        "# Run 5-fold cross-validation and then print results\n",
        "analysis = cross_validate(algo, data, measures=['RMSE', 'MAE'], cv=5, verbose=True)\n",
        "pd.DataFrame(analysis)"
      ],
      "execution_count": 117,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Evaluating RMSE, MAE of algorithm SVD on 5 split(s).\n",
            "\n",
            "                  Fold 1  Fold 2  Fold 3  Fold 4  Fold 5  Mean    Std     \n",
            "RMSE (testset)    0.8503  0.8278  0.8256  0.8424  0.8354  0.8363  0.0092  \n",
            "MAE (testset)     0.6460  0.6365  0.6363  0.6419  0.6449  0.6411  0.0041  \n",
            "Fit time          1.11    1.11    1.11    1.11    1.12    1.11    0.00    \n",
            "Test time         0.04    0.04    0.03    0.03    0.03    0.04    0.00    \n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>test_rmse</th>\n",
              "      <th>test_mae</th>\n",
              "      <th>fit_time</th>\n",
              "      <th>test_time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.850256</td>\n",
              "      <td>0.646016</td>\n",
              "      <td>1.114840</td>\n",
              "      <td>0.044004</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.827812</td>\n",
              "      <td>0.636506</td>\n",
              "      <td>1.110099</td>\n",
              "      <td>0.037401</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.825565</td>\n",
              "      <td>0.636288</td>\n",
              "      <td>1.108981</td>\n",
              "      <td>0.033224</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.842351</td>\n",
              "      <td>0.641935</td>\n",
              "      <td>1.107906</td>\n",
              "      <td>0.033696</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.835425</td>\n",
              "      <td>0.644929</td>\n",
              "      <td>1.119455</td>\n",
              "      <td>0.034106</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   test_rmse  test_mae  fit_time  test_time\n",
              "0   0.850256  0.646016  1.114840   0.044004\n",
              "1   0.827812  0.636506  1.110099   0.037401\n",
              "2   0.825565  0.636288  1.108981   0.033224\n",
              "3   0.842351  0.641935  1.107906   0.033696\n",
              "4   0.835425  0.644929  1.119455   0.034106"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 117
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e6e5X_rpNgyX",
        "outputId": "6c50c05c-1e04-4118-a312-678c4911e78d"
      },
      "source": [
        "trainset = data.build_full_trainset()\n",
        "algo.fit(trainset)"
      ],
      "execution_count": 119,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<surprise.prediction_algorithms.matrix_factorization.SVD at 0x7f2259f7f110>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 119
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 345
        },
        "id": "HZEnF5c8ORD3",
        "outputId": "fed7a36c-b2db-4bd8-e81a-d94844bd1bdc"
      },
      "source": [
        "user_id = 127\n",
        "recommend_books(user_id)"
      ],
      "execution_count": 120,
      "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>title</th>\n",
              "      <th>estimate_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>399</th>\n",
              "      <td>Words of Radiance (The Stormlight Archive, #2)</td>\n",
              "      <td>4.571464</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>619</th>\n",
              "      <td>Queen of Shadows (Throne of Glass, #4)</td>\n",
              "      <td>4.553018</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>251</th>\n",
              "      <td>The Way of Kings (The Stormlight Archive, #1)</td>\n",
              "      <td>4.536987</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>486</th>\n",
              "      <td>Heir of Fire (Throne of Glass, #3)</td>\n",
              "      <td>4.504306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>121</th>\n",
              "      <td>The Nightingale</td>\n",
              "      <td>4.463124</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>118</th>\n",
              "      <td>The Shadow of the Wind (The Cemetery of Forgot...</td>\n",
              "      <td>4.450078</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>588</th>\n",
              "      <td>A Little Life</td>\n",
              "      <td>4.417460</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>750</th>\n",
              "      <td>An Ember in the Ashes (An Ember in the Ashes, #1)</td>\n",
              "      <td>4.408346</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1075</th>\n",
              "      <td>American Assassin (Mitch Rapp, #1)</td>\n",
              "      <td>4.408103</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>650</th>\n",
              "      <td>A Court of Mist and Fury (A Court of Thorns an...</td>\n",
              "      <td>4.393789</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                  title  estimate_score\n",
              "399      Words of Radiance (The Stormlight Archive, #2)        4.571464\n",
              "619              Queen of Shadows (Throne of Glass, #4)        4.553018\n",
              "251       The Way of Kings (The Stormlight Archive, #1)        4.536987\n",
              "486                  Heir of Fire (Throne of Glass, #3)        4.504306\n",
              "121                                     The Nightingale        4.463124\n",
              "118   The Shadow of the Wind (The Cemetery of Forgot...        4.450078\n",
              "588                                       A Little Life        4.417460\n",
              "750   An Ember in the Ashes (An Ember in the Ashes, #1)        4.408346\n",
              "1075                 American Assassin (Mitch Rapp, #1)        4.408103\n",
              "650   A Court of Mist and Fury (A Court of Thorns an...        4.393789"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 120
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wib2U5Sa75hG"
      },
      "source": [
        "### References\n",
        "\n",
        "1. https://medium.com/web-mining-is688-spring-2021/my-kind-of-books-142053b3c0d6"
      ]
    }
  ]
}