diff --git "a/notebooks/DataCleaning_and_EDA_update (3).ipynb" "b/notebooks/DataCleaning_and_EDA_update (3).ipynb"
new file mode 100644--- /dev/null
+++ "b/notebooks/DataCleaning_and_EDA_update (3).ipynb"
@@ -0,0 +1,10795 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "VIGPNlN8sqqp"
+      },
+      "outputs": [],
+      "source": [
+        "%%capture\n",
+        "!pip install transformers\n",
+        "!pip install accelerate -U\n",
+        "!pip install --upgrade tensorflow\n",
+        "! pip install datasets\n",
+        "! pip install huggingface_hub\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "dqgUXWuwZvJQ"
+      },
+      "outputs": [],
+      "source": [
+        "from google.colab import drive\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "UFP95uHeTaGK"
+      },
+      "outputs": [],
+      "source": [
+        "import os\n",
+        "\n",
+        "mount_point = \"/content/MyDrive/deep-learning\"\n",
+        "if not os.path.exists(mount_point):\n",
+        "    os.makedirs(mount_point)\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "9IakUnxiu_1g"
+      },
+      "outputs": [],
+      "source": [
+        "%%capture\n",
+        "\n",
+        "##for data handling\n",
+        "import pandas as pd\n",
+        "import numpy  as np\n",
+        "\n",
+        "##visualizations\n",
+        "\n",
+        "import matplotlib.pyplot as plt\n",
+        "import plotly.express as px\n",
+        "import seaborn as sns\n",
+        "\n",
+        "##NLP\n",
+        "\n",
+        "import nltk\n",
+        "from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer\n",
+        "from wordcloud import WordCloud, STOPWORDS\n",
+        "import re,string, unicodedata\n",
+        "from nltk.tokenize import word_tokenize\n",
+        "from nltk.stem import WordNetLemmatizer\n",
+        "from string import punctuation\n",
+        "from nltk.corpus import wordnet\n",
+        "from collections import Counter\n",
+        "import string\n",
+        "nltk.download('punkt')\n",
+        "nltk.download('wordnet')\n",
+        "nltk.download('maxent_ne_chunker')\n",
+        "nltk.download(\"words\")\n",
+        "import nltk\n",
+        "from nltk.corpus import gutenberg\n",
+        "from nltk import FreqDist\n",
+        "\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "9VZbCA6s9pzo"
+      },
+      "outputs": [],
+      "source": [
+        "train_path= '/content/drive/MyDrive/deep-learning/Train.csv'\n",
+        "test_path= '/content/drive/MyDrive/deep-learning/Test.csv'"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "8Frz5b19-VVO"
+      },
+      "outputs": [],
+      "source": []
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "NMGZ7qwxWHQm",
+        "outputId": "c2262d8e-2385-4568-8abf-13ae5ba422d0"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "CPU times: user 62.4 ms, sys: 19 ms, total: 81.4 ms\n",
+            "Wall time: 545 ms\n"
+          ]
+        }
+      ],
+      "source": [
+        "\n",
+        "%%time\n",
+        "df_train= pd.read_csv(train_path)\n",
+        "df_test= pd.read_csv(test_path)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 206
+        },
+        "id": "EOFVlu8obzQQ",
+        "outputId": "24839376-571a-47d7-f24c-7b764f648f85"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "\n",
+              "\n",
+              "  <div id=\"df-88b2e48a-508f-405d-8506-b65f136ba998\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <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>tweet_id</th>\n",
+              "      <th>safe_text</th>\n",
+              "      <th>label</th>\n",
+              "      <th>agreement</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>CL1KWCMY</td>\n",
+              "      <td>Me &amp;amp; The Big Homie meanboy3000 #MEANBOY #M...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>E3303EME</td>\n",
+              "      <td>I'm 100% thinking of devoting my career to pro...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>M4IVFSMS</td>\n",
+              "      <td>#whatcausesautism VACCINES, DO NOT VACCINATE Y...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>1DR6ROZ4</td>\n",
+              "      <td>I mean if they immunize my kid with something ...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>J77ENIIE</td>\n",
+              "      <td>Thanks to &lt;user&gt; Catch me performing at La Nui...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.0</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-88b2e48a-508f-405d-8506-b65f136ba998')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
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+              "  </svg>\n",
+              "      </button>\n",
+              "\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-9cb7c8f6-9129-4024-9192-023d343b3e40\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-9cb7c8f6-9129-4024-9192-023d343b3e40')\"\n",
+              "              title=\"Suggest charts.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "    </div>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: #E8F0FE;\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: #1967D2;\n",
+              "    height: 32px;\n",
+              "    padding: 0 0 0 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: #E2EBFA;\n",
+              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: #174EA6;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "    background-color: #3B4455;\n",
+              "    fill: #D2E3FC;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
+              "    background-color: #434B5C;\n",
+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "    fill: #FFFFFF;\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "    <script>\n",
+              "      async function quickchart(key) {\n",
+              "        const containerElement = document.querySelector('#' + key);\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      }\n",
+              "    </script>\n",
+              "\n",
+              "      <script>\n",
+              "\n",
+              "function displayQuickchartButton(domScope) {\n",
+              "  let quickchartButtonEl =\n",
+              "    domScope.querySelector('#df-9cb7c8f6-9129-4024-9192-023d343b3e40 button.colab-df-quickchart');\n",
+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "}\n",
+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-88b2e48a-508f-405d-8506-b65f136ba998 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-88b2e48a-508f-405d-8506-b65f136ba998');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "   tweet_id                                          safe_text  label  \\\n",
+              "0  CL1KWCMY  Me &amp; The Big Homie meanboy3000 #MEANBOY #M...    0.0   \n",
+              "1  E3303EME  I'm 100% thinking of devoting my career to pro...    1.0   \n",
+              "2  M4IVFSMS  #whatcausesautism VACCINES, DO NOT VACCINATE Y...   -1.0   \n",
+              "3  1DR6ROZ4  I mean if they immunize my kid with something ...   -1.0   \n",
+              "4  J77ENIIE  Thanks to <user> Catch me performing at La Nui...    0.0   \n",
+              "\n",
+              "   agreement  \n",
+              "0        1.0  \n",
+              "1        1.0  \n",
+              "2        1.0  \n",
+              "3        1.0  \n",
+              "4        1.0  "
+            ]
+          },
+          "execution_count": 7,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "##loading the dataset\n",
+        "\n",
+        "df_train.head()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 206
+        },
+        "id": "_PHz_nKab0BH",
+        "outputId": "f0acb4ca-3167-4a8e-cc5f-00e2d20a7d9d"
+      },
+      "outputs": [
+        {
+          "data": {
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+              "\n",
+              "\n",
+              "  <div id=\"df-9fa13f5e-ce25-4b3d-b130-9e4c96cff51f\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <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>tweet_id</th>\n",
+              "      <th>safe_text</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>00BHHHP1</td>\n",
+              "      <td>&lt;user&gt; &lt;user&gt; ... &amp;amp; 4 a vaccine given 2 he...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>00UNMD0E</td>\n",
+              "      <td>Students starting school without whooping coug...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>01AXPTJF</td>\n",
+              "      <td>I'm kinda over every ep of &lt;user&gt; being \"rippe...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>01HOEQJW</td>\n",
+              "      <td>How many innocent children die for lack of vac...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>01JUKMAO</td>\n",
+              "      <td>CDC eyeing bird flu vaccine for humans, though...</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
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+              "\n",
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+              "              title=\"Suggest charts.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "    </div>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: #E8F0FE;\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: #1967D2;\n",
+              "    height: 32px;\n",
+              "    padding: 0 0 0 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: #E2EBFA;\n",
+              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: #174EA6;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "    background-color: #3B4455;\n",
+              "    fill: #D2E3FC;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
+              "    background-color: #434B5C;\n",
+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "    fill: #FFFFFF;\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "    <script>\n",
+              "      async function quickchart(key) {\n",
+              "        const containerElement = document.querySelector('#' + key);\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      }\n",
+              "    </script>\n",
+              "\n",
+              "      <script>\n",
+              "\n",
+              "function displayQuickchartButton(domScope) {\n",
+              "  let quickchartButtonEl =\n",
+              "    domScope.querySelector('#df-8e4a6d2f-4228-49b7-ba95-850ba07be464 button.colab-df-quickchart');\n",
+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "}\n",
+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-9fa13f5e-ce25-4b3d-b130-9e4c96cff51f button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-9fa13f5e-ce25-4b3d-b130-9e4c96cff51f');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "   tweet_id                                          safe_text\n",
+              "0  00BHHHP1  <user> <user> ... &amp; 4 a vaccine given 2 he...\n",
+              "1  00UNMD0E  Students starting school without whooping coug...\n",
+              "2  01AXPTJF  I'm kinda over every ep of <user> being \"rippe...\n",
+              "3  01HOEQJW  How many innocent children die for lack of vac...\n",
+              "4  01JUKMAO  CDC eyeing bird flu vaccine for humans, though..."
+            ]
+          },
+          "execution_count": 8,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "df_test.head()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "XwxCmyHPc3EM"
+      },
+      "source": [
+        "## CRISP-DM Framework\n",
+        "\n",
+        "- Data Understanding\n",
+        "- Data Preparation\n",
+        "- Modelling\n",
+        "- Evaluation\n",
+        "- Deployment\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "W8XiDpLifCot"
+      },
+      "outputs": [],
+      "source": [
+        "##before starting, I will like to rename safe_text column to tweets\n",
+        "\n",
+        "\n",
+        "df_train.rename(columns= {\"safe_text\": \"tweets\"}, inplace= True)\n",
+        "df_test.rename(columns= {\"safe_text\": \"tweets\"}, inplace= True)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 238
+        },
+        "id": "WlWyBoOPfGoW",
+        "outputId": "b6ec1c05-1c8d-4f14-d5bd-5547d616df42"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "\n",
+              "\n",
+              "  <div id=\"df-f864a55a-f81b-47c7-a796-5967761c9be5\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <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>tweet_id</th>\n",
+              "      <th>tweets</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>00BHHHP1</td>\n",
+              "      <td>&lt;user&gt; &lt;user&gt; ... &amp;amp; 4 a vaccine given 2 he...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>00UNMD0E</td>\n",
+              "      <td>Students starting school without whooping coug...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>01AXPTJF</td>\n",
+              "      <td>I'm kinda over every ep of &lt;user&gt; being \"rippe...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>01HOEQJW</td>\n",
+              "      <td>How many innocent children die for lack of vac...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>01JUKMAO</td>\n",
+              "      <td>CDC eyeing bird flu vaccine for humans, though...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>01V1X8XW</td>\n",
+              "      <td>I think that active duty soldiers should get v...</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f864a55a-f81b-47c7-a796-5967761c9be5')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-fb801d6a-a441-4bfa-8e53-7f79eca4d04e\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-fb801d6a-a441-4bfa-8e53-7f79eca4d04e')\"\n",
+              "              title=\"Suggest charts.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "    </div>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: #E8F0FE;\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: #1967D2;\n",
+              "    height: 32px;\n",
+              "    padding: 0 0 0 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: #E2EBFA;\n",
+              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: #174EA6;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "    background-color: #3B4455;\n",
+              "    fill: #D2E3FC;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
+              "    background-color: #434B5C;\n",
+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "    fill: #FFFFFF;\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "    <script>\n",
+              "      async function quickchart(key) {\n",
+              "        const containerElement = document.querySelector('#' + key);\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      }\n",
+              "    </script>\n",
+              "\n",
+              "      <script>\n",
+              "\n",
+              "function displayQuickchartButton(domScope) {\n",
+              "  let quickchartButtonEl =\n",
+              "    domScope.querySelector('#df-fb801d6a-a441-4bfa-8e53-7f79eca4d04e button.colab-df-quickchart');\n",
+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "}\n",
+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-f864a55a-f81b-47c7-a796-5967761c9be5 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-f864a55a-f81b-47c7-a796-5967761c9be5');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "   tweet_id                                             tweets\n",
+              "0  00BHHHP1  <user> <user> ... &amp; 4 a vaccine given 2 he...\n",
+              "1  00UNMD0E  Students starting school without whooping coug...\n",
+              "2  01AXPTJF  I'm kinda over every ep of <user> being \"rippe...\n",
+              "3  01HOEQJW  How many innocent children die for lack of vac...\n",
+              "4  01JUKMAO  CDC eyeing bird flu vaccine for humans, though...\n",
+              "5  01V1X8XW  I think that active duty soldiers should get v..."
+            ]
+          },
+          "execution_count": 10,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "df_test.loc[:5]"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 238
+        },
+        "id": "82386zRCc3xx",
+        "outputId": "e44c91be-47ad-4af6-d9c3-99f2cf19733c"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "\n",
+              "\n",
+              "  <div id=\"df-98737ff4-5c53-417b-a07b-8bbed34258b2\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <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>tweet_id</th>\n",
+              "      <th>tweets</th>\n",
+              "      <th>label</th>\n",
+              "      <th>agreement</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>CL1KWCMY</td>\n",
+              "      <td>Me &amp;amp; The Big Homie meanboy3000 #MEANBOY #M...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>E3303EME</td>\n",
+              "      <td>I'm 100% thinking of devoting my career to pro...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>M4IVFSMS</td>\n",
+              "      <td>#whatcausesautism VACCINES, DO NOT VACCINATE Y...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>1DR6ROZ4</td>\n",
+              "      <td>I mean if they immunize my kid with something ...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>J77ENIIE</td>\n",
+              "      <td>Thanks to &lt;user&gt; Catch me performing at La Nui...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>OVNPOAUX</td>\n",
+              "      <td>&lt;user&gt; a nearly 67 year old study when mental ...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-98737ff4-5c53-417b-a07b-8bbed34258b2')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-37189a05-3c99-4fce-9d68-ffd0aacbdd1e\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-37189a05-3c99-4fce-9d68-ffd0aacbdd1e')\"\n",
+              "              title=\"Suggest charts.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "    </div>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: #E8F0FE;\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: #1967D2;\n",
+              "    height: 32px;\n",
+              "    padding: 0 0 0 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: #E2EBFA;\n",
+              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: #174EA6;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "    background-color: #3B4455;\n",
+              "    fill: #D2E3FC;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
+              "    background-color: #434B5C;\n",
+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "    fill: #FFFFFF;\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "    <script>\n",
+              "      async function quickchart(key) {\n",
+              "        const containerElement = document.querySelector('#' + key);\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      }\n",
+              "    </script>\n",
+              "\n",
+              "      <script>\n",
+              "\n",
+              "function displayQuickchartButton(domScope) {\n",
+              "  let quickchartButtonEl =\n",
+              "    domScope.querySelector('#df-37189a05-3c99-4fce-9d68-ffd0aacbdd1e button.colab-df-quickchart');\n",
+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "}\n",
+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-98737ff4-5c53-417b-a07b-8bbed34258b2 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-98737ff4-5c53-417b-a07b-8bbed34258b2');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "   tweet_id                                             tweets  label  \\\n",
+              "0  CL1KWCMY  Me &amp; The Big Homie meanboy3000 #MEANBOY #M...    0.0   \n",
+              "1  E3303EME  I'm 100% thinking of devoting my career to pro...    1.0   \n",
+              "2  M4IVFSMS  #whatcausesautism VACCINES, DO NOT VACCINATE Y...   -1.0   \n",
+              "3  1DR6ROZ4  I mean if they immunize my kid with something ...   -1.0   \n",
+              "4  J77ENIIE  Thanks to <user> Catch me performing at La Nui...    0.0   \n",
+              "5  OVNPOAUX  <user> a nearly 67 year old study when mental ...    1.0   \n",
+              "\n",
+              "   agreement  \n",
+              "0   1.000000  \n",
+              "1   1.000000  \n",
+              "2   1.000000  \n",
+              "3   1.000000  \n",
+              "4   1.000000  \n",
+              "5   0.666667  "
+            ]
+          },
+          "execution_count": 11,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "df_train.loc[:5]"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "wtIglVGdjPkm"
+      },
+      "outputs": [],
+      "source": [
+        "##creating a copy\n",
+        "\n",
+        "train_data= df_train.copy()\n",
+        "test_data= df_test.copy()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "xZ7lILoEpfs9"
+      },
+      "source": [
+        "# 1. Data Understanding\n",
+        "\n",
+        "Workflow:\n",
+        "\n",
+        "- info\n",
+        "- Check for missing values\n",
+        "- Check for duplicates\n",
+        "- Plot some charts\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "0JpzEdOV4Xsr"
+      },
+      "source": [
+        "## 1.1 Checking Info"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "u1tG3XSI4OTq",
+        "outputId": "dfb84faa-14dd-4ccd-8fbe-a4b8c79f01cb"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "<class 'pandas.core.frame.DataFrame'>\n",
+            "RangeIndex: 10001 entries, 0 to 10000\n",
+            "Data columns (total 4 columns):\n",
+            " #   Column     Non-Null Count  Dtype  \n",
+            "---  ------     --------------  -----  \n",
+            " 0   tweet_id   10001 non-null  object \n",
+            " 1   tweets     10001 non-null  object \n",
+            " 2   label      10000 non-null  float64\n",
+            " 3   agreement  9999 non-null   float64\n",
+            "dtypes: float64(2), object(2)\n",
+            "memory usage: 312.7+ KB\n",
+            "the info df_train dataset are:  \n",
+            "\n",
+            " None \n",
+            "\n",
+            " ------------------------------------------------------------\n",
+            "<class 'pandas.core.frame.DataFrame'>\n",
+            "RangeIndex: 5177 entries, 0 to 5176\n",
+            "Data columns (total 2 columns):\n",
+            " #   Column    Non-Null Count  Dtype \n",
+            "---  ------    --------------  ----- \n",
+            " 0   tweet_id  5177 non-null   object\n",
+            " 1   tweets    5176 non-null   object\n",
+            "dtypes: object(2)\n",
+            "memory usage: 81.0+ KB\n",
+            "the info df_test dataset are:  \n",
+            "\n",
+            " None \n",
+            "\n",
+            " ------------------------------------------------------------\n"
+          ]
+        }
+      ],
+      "source": [
+        "data=[df_train, df_test]\n",
+        "names=[\"df_train\", \"df_test\"]\n",
+        "\n",
+        "\n",
+        "\n",
+        "for m, i in zip(data, names):\n",
+        "  print(f\"the info\", i,\"dataset are: \", \"\\n\\n\", m.info(), \"\\n\\n\", \"---\"*20 )"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 300
+        },
+        "id": "B_tK0QJQOG1c",
+        "outputId": "8ff23f7b-0b52-40fa-a253-5906c25f0f95"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "\n",
+              "\n",
+              "  <div id=\"df-09d73916-b9b7-4779-8149-e029ff624954\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <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>label</th>\n",
+              "      <th>agreement</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>count</th>\n",
+              "      <td>10000.000000</td>\n",
+              "      <td>9999.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>mean</th>\n",
+              "      <td>0.301567</td>\n",
+              "      <td>0.854252</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>std</th>\n",
+              "      <td>0.646718</td>\n",
+              "      <td>0.180707</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>min</th>\n",
+              "      <td>-1.000000</td>\n",
+              "      <td>0.333333</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25%</th>\n",
+              "      <td>0.000000</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>50%</th>\n",
+              "      <td>0.000000</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>75%</th>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>max</th>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-09d73916-b9b7-4779-8149-e029ff624954')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-a3fc8953-a1e6-4bef-bbde-6cf5b834e48e\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a3fc8953-a1e6-4bef-bbde-6cf5b834e48e')\"\n",
+              "              title=\"Suggest charts.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "    </div>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: #E8F0FE;\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: #1967D2;\n",
+              "    height: 32px;\n",
+              "    padding: 0 0 0 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: #E2EBFA;\n",
+              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: #174EA6;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "    background-color: #3B4455;\n",
+              "    fill: #D2E3FC;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
+              "    background-color: #434B5C;\n",
+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "    fill: #FFFFFF;\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "    <script>\n",
+              "      async function quickchart(key) {\n",
+              "        const containerElement = document.querySelector('#' + key);\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      }\n",
+              "    </script>\n",
+              "\n",
+              "      <script>\n",
+              "\n",
+              "function displayQuickchartButton(domScope) {\n",
+              "  let quickchartButtonEl =\n",
+              "    domScope.querySelector('#df-a3fc8953-a1e6-4bef-bbde-6cf5b834e48e button.colab-df-quickchart');\n",
+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "}\n",
+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-09d73916-b9b7-4779-8149-e029ff624954 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-09d73916-b9b7-4779-8149-e029ff624954');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "              label    agreement\n",
+              "count  10000.000000  9999.000000\n",
+              "mean       0.301567     0.854252\n",
+              "std        0.646718     0.180707\n",
+              "min       -1.000000     0.333333\n",
+              "25%        0.000000     0.666667\n",
+              "50%        0.000000     1.000000\n",
+              "75%        1.000000     1.000000\n",
+              "max        1.000000     1.000000"
+            ]
+          },
+          "execution_count": 14,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "df_train.describe()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 300
+        },
+        "id": "vgwJp85uOMv4",
+        "outputId": "c7b5ac45-1a45-4477-c0cc-e08a67b33108"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "\n",
+              "\n",
+              "  <div id=\"df-65842ef5-881a-4eef-9172-7a81332ab339\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <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>label</th>\n",
+              "      <th>agreement</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>count</th>\n",
+              "      <td>10000.000000</td>\n",
+              "      <td>9999.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>mean</th>\n",
+              "      <td>0.301567</td>\n",
+              "      <td>0.854252</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>std</th>\n",
+              "      <td>0.646718</td>\n",
+              "      <td>0.180707</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>min</th>\n",
+              "      <td>-1.000000</td>\n",
+              "      <td>0.333333</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25%</th>\n",
+              "      <td>0.000000</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>50%</th>\n",
+              "      <td>0.000000</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>75%</th>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>max</th>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-65842ef5-881a-4eef-9172-7a81332ab339')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-e842491c-257d-4782-8569-8ea2900f699e\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e842491c-257d-4782-8569-8ea2900f699e')\"\n",
+              "              title=\"Suggest charts.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "    </div>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: #E8F0FE;\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: #1967D2;\n",
+              "    height: 32px;\n",
+              "    padding: 0 0 0 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: #E2EBFA;\n",
+              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: #174EA6;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "    background-color: #3B4455;\n",
+              "    fill: #D2E3FC;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
+              "    background-color: #434B5C;\n",
+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "    fill: #FFFFFF;\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "    <script>\n",
+              "      async function quickchart(key) {\n",
+              "        const containerElement = document.querySelector('#' + key);\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      }\n",
+              "    </script>\n",
+              "\n",
+              "      <script>\n",
+              "\n",
+              "function displayQuickchartButton(domScope) {\n",
+              "  let quickchartButtonEl =\n",
+              "    domScope.querySelector('#df-e842491c-257d-4782-8569-8ea2900f699e button.colab-df-quickchart');\n",
+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "}\n",
+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-65842ef5-881a-4eef-9172-7a81332ab339 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-65842ef5-881a-4eef-9172-7a81332ab339');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "              label    agreement\n",
+              "count  10000.000000  9999.000000\n",
+              "mean       0.301567     0.854252\n",
+              "std        0.646718     0.180707\n",
+              "min       -1.000000     0.333333\n",
+              "25%        0.000000     0.666667\n",
+              "50%        0.000000     1.000000\n",
+              "75%        1.000000     1.000000\n",
+              "max        1.000000     1.000000"
+            ]
+          },
+          "execution_count": 15,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "df_train.describe()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "srYRJy-Le7M6"
+      },
+      "source": [
+        "###1.2 Checking for Missing Values"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "ElXduvXYil2W",
+        "outputId": "30aa8dc0-b988-476d-dd73-649bbb76b1b1"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "the missing values in the df_train dataset are:  \n",
+            "\n",
+            " tweet_id     0\n",
+            "tweets       0\n",
+            "label        1\n",
+            "agreement    2\n",
+            "dtype: int64 \n",
+            "\n",
+            " ------------------------------------------------------------\n",
+            "the missing values in the df_test dataset are:  \n",
+            "\n",
+            " tweet_id    0\n",
+            "tweets      1\n",
+            "dtype: int64 \n",
+            "\n",
+            " ------------------------------------------------------------\n"
+          ]
+        }
+      ],
+      "source": [
+        "data=[df_train, df_test]\n",
+        "names=[\"df_train\", \"df_test\"]\n",
+        "\n",
+        "\n",
+        "\n",
+        "for m, i in zip(data, names):\n",
+        "  print(f\"the missing values in the\", i,\"dataset are: \", \"\\n\\n\", m.isna().sum(), \"\\n\\n\", \"---\"*20 )"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 112
+        },
+        "id": "ED9iOg9oi1be",
+        "outputId": "83429135-b086-424d-b80b-085a57da62c0"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "\n",
+              "\n",
+              "  <div id=\"df-51086eff-851d-40be-957e-744ff22acc2d\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <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>tweet_id</th>\n",
+              "      <th>tweets</th>\n",
+              "      <th>label</th>\n",
+              "      <th>agreement</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>4798</th>\n",
+              "      <td>RQMQ0L2A</td>\n",
+              "      <td>#lawandorderSVU</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4799</th>\n",
+              "      <td>I cannot believe in this day and age some pare...</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-51086eff-851d-40be-957e-744ff22acc2d')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-16bf2382-fab0-448a-8569-82344b681551\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-16bf2382-fab0-448a-8569-82344b681551')\"\n",
+              "              title=\"Suggest charts.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "    </div>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: #E8F0FE;\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: #1967D2;\n",
+              "    height: 32px;\n",
+              "    padding: 0 0 0 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: #E2EBFA;\n",
+              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: #174EA6;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "    background-color: #3B4455;\n",
+              "    fill: #D2E3FC;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
+              "    background-color: #434B5C;\n",
+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "    fill: #FFFFFF;\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "    <script>\n",
+              "      async function quickchart(key) {\n",
+              "        const containerElement = document.querySelector('#' + key);\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      }\n",
+              "    </script>\n",
+              "\n",
+              "      <script>\n",
+              "\n",
+              "function displayQuickchartButton(domScope) {\n",
+              "  let quickchartButtonEl =\n",
+              "    domScope.querySelector('#df-16bf2382-fab0-448a-8569-82344b681551 button.colab-df-quickchart');\n",
+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "}\n",
+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-51086eff-851d-40be-957e-744ff22acc2d button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-51086eff-851d-40be-957e-744ff22acc2d');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "                                               tweet_id            tweets  \\\n",
+              "4798                                           RQMQ0L2A  #lawandorderSVU    \n",
+              "4799  I cannot believe in this day and age some pare...                 1   \n",
+              "\n",
+              "         label  agreement  \n",
+              "4798       NaN        NaN  \n",
+              "4799  0.666667        NaN  "
+            ]
+          },
+          "execution_count": 17,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "##we will see the missing values\n",
+        "\n",
+        "df_train[df_train[\"label\"].isna()]\n",
+        "df_train[df_train[\"agreement\"].isna()]"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "uAfUoa_Ij_W-"
+      },
+      "source": [
+        "#### Notes after checking for missing values:\n",
+        "\n",
+        "- We will drop them in the Data Preparation stage"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "OQydlhOfsxgI"
+      },
+      "source": [
+        "## 1.3 Checking for Duplicates\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 49
+        },
+        "id": "4jfC-EFwo38c",
+        "outputId": "7e9ed683-6fa4-46c1-f176-95c26ea62ba3"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "\n",
+              "\n",
+              "  <div id=\"df-73a99c7e-24d7-4529-a72f-40dd1a81a4e3\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
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+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\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>tweet_id</th>\n",
+              "      <th>tweets</th>\n",
+              "      <th>label</th>\n",
+              "      <th>agreement</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-73a99c7e-24d7-4529-a72f-40dd1a81a4e3')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
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+              "  </svg>\n",
+              "      </button>\n",
+              "\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-e003dbb2-092d-4302-89cf-9a31db760b16\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e003dbb2-092d-4302-89cf-9a31db760b16')\"\n",
+              "              title=\"Suggest charts.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "    </div>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: #E8F0FE;\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: #1967D2;\n",
+              "    height: 32px;\n",
+              "    padding: 0 0 0 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: #E2EBFA;\n",
+              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: #174EA6;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "    background-color: #3B4455;\n",
+              "    fill: #D2E3FC;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
+              "    background-color: #434B5C;\n",
+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "    fill: #FFFFFF;\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "    <script>\n",
+              "      async function quickchart(key) {\n",
+              "        const containerElement = document.querySelector('#' + key);\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      }\n",
+              "    </script>\n",
+              "\n",
+              "      <script>\n",
+              "\n",
+              "function displayQuickchartButton(domScope) {\n",
+              "  let quickchartButtonEl =\n",
+              "    domScope.querySelector('#df-e003dbb2-092d-4302-89cf-9a31db760b16 button.colab-df-quickchart');\n",
+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "}\n",
+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-73a99c7e-24d7-4529-a72f-40dd1a81a4e3 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-73a99c7e-24d7-4529-a72f-40dd1a81a4e3');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "Empty DataFrame\n",
+              "Columns: [tweet_id, tweets, label, agreement]\n",
+              "Index: []"
+            ]
+          },
+          "execution_count": 18,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "\n",
+        "df_train[df_train.duplicated()]"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 84
+        },
+        "id": "H0BMXrkPo6ZV",
+        "outputId": "e2be7227-7202-4dd6-dac4-e60d10b23c35"
+      },
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "<ipython-input-19-3bea3efcab91>:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+            "  df_test[df_train.duplicated()]\n"
+          ]
+        },
+        {
+          "data": {
+            "text/html": [
+              "\n",
+              "\n",
+              "  <div id=\"df-6a2bf6a5-b3c1-49d1-870e-1a95b61d725a\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <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>tweet_id</th>\n",
+              "      <th>tweets</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6a2bf6a5-b3c1-49d1-870e-1a95b61d725a')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-1fd3e00c-5ee2-4998-9feb-63aa5b7a0ec6\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-1fd3e00c-5ee2-4998-9feb-63aa5b7a0ec6')\"\n",
+              "              title=\"Suggest charts.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "    </div>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: #E8F0FE;\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: #1967D2;\n",
+              "    height: 32px;\n",
+              "    padding: 0 0 0 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: #E2EBFA;\n",
+              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: #174EA6;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "    background-color: #3B4455;\n",
+              "    fill: #D2E3FC;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
+              "    background-color: #434B5C;\n",
+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "    fill: #FFFFFF;\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "    <script>\n",
+              "      async function quickchart(key) {\n",
+              "        const containerElement = document.querySelector('#' + key);\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      }\n",
+              "    </script>\n",
+              "\n",
+              "      <script>\n",
+              "\n",
+              "function displayQuickchartButton(domScope) {\n",
+              "  let quickchartButtonEl =\n",
+              "    domScope.querySelector('#df-1fd3e00c-5ee2-4998-9feb-63aa5b7a0ec6 button.colab-df-quickchart');\n",
+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "}\n",
+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-6a2bf6a5-b3c1-49d1-870e-1a95b61d725a button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-6a2bf6a5-b3c1-49d1-870e-1a95b61d725a');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "Empty DataFrame\n",
+              "Columns: [tweet_id, tweets]\n",
+              "Index: []"
+            ]
+          },
+          "execution_count": 19,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "df_test[df_train.duplicated()]"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "P_hvJqmHpDCI"
+      },
+      "source": [
+        "### Notes after checking for duplicates\n",
+        "\n",
+        "\n",
+        "\n",
+        "- There were no duplicates"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "M0jDZv6qpIB5"
+      },
+      "source": [
+        "## 1.3 Visualizations"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "Kwc8iY_Z1_1L"
+      },
+      "source": [
+        "##### i.Checking Distrubution of Sentiments"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 542
+        },
+        "id": "HLiDYsLTs72q",
+        "outputId": "3f535bb4-8769-4610-8fb6-277cf5359a67"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "<html>\n",
+              "<head><meta charset=\"utf-8\" /></head>\n",
+              "<body>\n",
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of Sentiments\"},\"barmode\":\"relative\"},                        {\"responsive\": true}                    ).then(function(){\n",
+              "                            \n",
+              "var gd = document.getElementById('44b5f3d4-7b77-450f-be1f-0c0223dd00b3');\n",
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+              "            Plotly.purge(gd);\n",
+              "            observer.disconnect();\n",
+              "        }}\n",
+              "}});\n",
+              "\n",
+              "// Listen for the removal of the full notebook cells\n",
+              "var notebookContainer = gd.closest('#notebook-container');\n",
+              "if (notebookContainer) {{\n",
+              "    x.observe(notebookContainer, {childList: true});\n",
+              "}}\n",
+              "\n",
+              "// Listen for the clearing of the current output cell\n",
+              "var outputEl = gd.closest('.output');\n",
+              "if (outputEl) {{\n",
+              "    x.observe(outputEl, {childList: true});\n",
+              "}}\n",
+              "\n",
+              "                        })                };                            </script>        </div>\n",
+              "</body>\n",
+              "</html>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "fig_1=px.histogram(data_frame= df_train, x= \"label\", title= \"Distrubution of Sentiments\")\n",
+        "fig_1.show()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "jFmPib0BtUYE"
+      },
+      "source": [
+        "Notes:\n",
+        "\n",
+        "- Most tweets were neutral\n",
+        "- There were more postive tweets than negative\n",
+        "- There is class imbalance\n",
+        "- There is a random value which doesn't belong to any of our predefined class"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "5N8zYUZhu2B2",
+        "outputId": "58bb319f-0e08-488f-f0ea-f4d362b24332"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "array([ 0.        ,  1.        , -1.        ,         nan,  0.66666667])"
+            ]
+          },
+          "execution_count": 21,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "##checking to find out the values of the random value:\n",
+        "df_train.label.unique()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "jcApoRoKCr1X"
+      },
+      "outputs": [],
+      "source": [
+        "postive= df_train[df_train[\"label\"]== 1]"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "psfbHTj1Cq51"
+      },
+      "outputs": [],
+      "source": [
+        "negative= df_train[df_train[\"label\"]== -1]"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "iQpj4kfyC4uL"
+      },
+      "outputs": [],
+      "source": [
+        "neutral= df_train[df_train[\"label\"]== 0]"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 677
+        },
+        "id": "GUcAtECEDCBX",
+        "outputId": "9426e00b-ecab-475c-a0da-0ba151fe6675"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "\n",
+              "\n",
+              "  <div id=\"df-a387e228-6a7b-4a7a-b82d-c0e939efb58e\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
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+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
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+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>tweet_id</th>\n",
+              "      <th>tweets</th>\n",
+              "      <th>label</th>\n",
+              "      <th>agreement</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>M4IVFSMS</td>\n",
+              "      <td>#whatcausesautism VACCINES, DO NOT VACCINATE Y...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>1DR6ROZ4</td>\n",
+              "      <td>I mean if they immunize my kid with something ...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>24</th>\n",
+              "      <td>89AB846O</td>\n",
+              "      <td>&lt;user&gt; #CDC lied and hid data that black boys ...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25</th>\n",
+              "      <td>XSXFN1C8</td>\n",
+              "      <td>&lt;user&gt; vaccines causing autism</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>35</th>\n",
+              "      <td>6PMH7C56</td>\n",
+              "      <td>&lt;user&gt; &lt;user&gt; Other than that, his defense is ...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>0.333333</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>47</th>\n",
+              "      <td>G1CJ54KD</td>\n",
+              "      <td>&lt;user&gt; I'm not vaccinating my kids lol</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>58</th>\n",
+              "      <td>Y3OMTB1Q</td>\n",
+              "      <td>&lt;user&gt; yeah. I'll just stick to my regular vac...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>62</th>\n",
+              "      <td>ZCOLETM5</td>\n",
+              "      <td>CIA: No more vaccination campaigns in spy ops ...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>65</th>\n",
+              "      <td>E88B1XQJ</td>\n",
+              "      <td>Vaccine Brain Damage Cover Up Implodes: &lt;url&gt; ...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>89</th>\n",
+              "      <td>43MWGI00</td>\n",
+              "      <td>Centers for Disease Control: This Year’s Flu V...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>90</th>\n",
+              "      <td>TP0MIEXK</td>\n",
+              "      <td>&lt;user&gt; TY. Fought hard 2 NOT vaccinate my kids...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>100</th>\n",
+              "      <td>85B8L54L</td>\n",
+              "      <td>\"&lt;user&gt; Conservative Neurosurgeon Ben Carson S...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>105</th>\n",
+              "      <td>1TI13L1W</td>\n",
+              "      <td>&lt;user&gt; ok what's good u have to say about poli...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>108</th>\n",
+              "      <td>DZWTVPSH</td>\n",
+              "      <td>Who wants a shot of autism juice...I mean meas...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>118</th>\n",
+              "      <td>NSZDXB2J</td>\n",
+              "      <td>2/3 ...yet the only way to immunize him is to ...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>120</th>\n",
+              "      <td>L2TIWPQD</td>\n",
+              "      <td>NEW: Bexar Co. District Attorney Nico LaHood: ...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>128</th>\n",
+              "      <td>DOZBHCZ5</td>\n",
+              "      <td>&lt;user&gt; &lt;user&gt; and the vaccine will injure tens...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>133</th>\n",
+              "      <td>4KEP2GOM</td>\n",
+              "      <td>I honestly don't believe in immunization. \\r\\n...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>135</th>\n",
+              "      <td>C9QSY5LE</td>\n",
+              "      <td>Really?  MMR Shots?</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>138</th>\n",
+              "      <td>OA5RF3H5</td>\n",
+              "      <td>Pro safety doesn't make me an anti-vaxer.  It ...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>0.333333</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a387e228-6a7b-4a7a-b82d-c0e939efb58e')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-a2e54fc6-e8a0-4bfd-923c-98a22e76bd8c\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a2e54fc6-e8a0-4bfd-923c-98a22e76bd8c')\"\n",
+              "              title=\"Suggest charts.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "    </div>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: #E8F0FE;\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: #1967D2;\n",
+              "    height: 32px;\n",
+              "    padding: 0 0 0 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: #E2EBFA;\n",
+              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: #174EA6;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "    background-color: #3B4455;\n",
+              "    fill: #D2E3FC;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
+              "    background-color: #434B5C;\n",
+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "    fill: #FFFFFF;\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "    <script>\n",
+              "      async function quickchart(key) {\n",
+              "        const containerElement = document.querySelector('#' + key);\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      }\n",
+              "    </script>\n",
+              "\n",
+              "      <script>\n",
+              "\n",
+              "function displayQuickchartButton(domScope) {\n",
+              "  let quickchartButtonEl =\n",
+              "    domScope.querySelector('#df-a2e54fc6-e8a0-4bfd-923c-98a22e76bd8c button.colab-df-quickchart');\n",
+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "}\n",
+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-a387e228-6a7b-4a7a-b82d-c0e939efb58e button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-a387e228-6a7b-4a7a-b82d-c0e939efb58e');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "     tweet_id                                             tweets  label  \\\n",
+              "2    M4IVFSMS  #whatcausesautism VACCINES, DO NOT VACCINATE Y...   -1.0   \n",
+              "3    1DR6ROZ4  I mean if they immunize my kid with something ...   -1.0   \n",
+              "24   89AB846O  <user> #CDC lied and hid data that black boys ...   -1.0   \n",
+              "25   XSXFN1C8                     <user> vaccines causing autism   -1.0   \n",
+              "35   6PMH7C56  <user> <user> Other than that, his defense is ...   -1.0   \n",
+              "47   G1CJ54KD             <user> I'm not vaccinating my kids lol   -1.0   \n",
+              "58   Y3OMTB1Q  <user> yeah. I'll just stick to my regular vac...   -1.0   \n",
+              "62   ZCOLETM5  CIA: No more vaccination campaigns in spy ops ...   -1.0   \n",
+              "65   E88B1XQJ  Vaccine Brain Damage Cover Up Implodes: <url> ...   -1.0   \n",
+              "89   43MWGI00  Centers for Disease Control: This Year’s Flu V...   -1.0   \n",
+              "90   TP0MIEXK  <user> TY. Fought hard 2 NOT vaccinate my kids...   -1.0   \n",
+              "100  85B8L54L  \"<user> Conservative Neurosurgeon Ben Carson S...   -1.0   \n",
+              "105  1TI13L1W  <user> ok what's good u have to say about poli...   -1.0   \n",
+              "108  DZWTVPSH  Who wants a shot of autism juice...I mean meas...   -1.0   \n",
+              "118  NSZDXB2J  2/3 ...yet the only way to immunize him is to ...   -1.0   \n",
+              "120  L2TIWPQD  NEW: Bexar Co. District Attorney Nico LaHood: ...   -1.0   \n",
+              "128  DOZBHCZ5  <user> <user> and the vaccine will injure tens...   -1.0   \n",
+              "133  4KEP2GOM  I honestly don't believe in immunization. \\r\\n...   -1.0   \n",
+              "135  C9QSY5LE                                Really?  MMR Shots?   -1.0   \n",
+              "138  OA5RF3H5  Pro safety doesn't make me an anti-vaxer.  It ...   -1.0   \n",
+              "\n",
+              "     agreement  \n",
+              "2     1.000000  \n",
+              "3     1.000000  \n",
+              "24    1.000000  \n",
+              "25    1.000000  \n",
+              "35    0.333333  \n",
+              "47    1.000000  \n",
+              "58    0.666667  \n",
+              "62    0.666667  \n",
+              "65    1.000000  \n",
+              "89    0.666667  \n",
+              "90    0.666667  \n",
+              "100   0.666667  \n",
+              "105   1.000000  \n",
+              "108   1.000000  \n",
+              "118   0.666667  \n",
+              "120   1.000000  \n",
+              "128   1.000000  \n",
+              "133   1.000000  \n",
+              "135   1.000000  \n",
+              "138   0.333333  "
+            ]
+          },
+          "execution_count": 25,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "negative.head(20)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 53
+        },
+        "id": "jjIFvh4UDDIt",
+        "outputId": "70e83377-862f-4e19-c4e5-fd2679b80c38"
+      },
+      "outputs": [
+        {
+          "data": {
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "string"
+            },
+            "text/plain": [
+              "\"Pro safety doesn't make me an anti-vaxer.  It makes me an educated consumer #CDCwhistleblower #CDCfraud #MyKidMatters #VaccineInjuryIsReal\""
+            ]
+          },
+          "execution_count": 26,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "\n",
+        "negative.loc[138][\"tweets\"]"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "jMPuOjjhDD1f"
+      },
+      "outputs": [],
+      "source": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "5Oowf-Fh1qgq"
+      },
+      "source": [
+        "##### ii.Using a WordCloud to Visualize Frequent Words"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "1LP2HLws1q1_"
+      },
+      "outputs": [],
+      "source": [
+        "##instantiating my Stopwords variable\n",
+        "\n",
+        "stopwords= STOPWORDS"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "FWDu1ibi2L-B",
+        "outputId": "8d79a23e-f9e1-4433-8a31-2941fc5b7232"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "192"
+            ]
+          },
+          "execution_count": 28,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "len(stopwords)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "4HYdAeiI2MZT"
+      },
+      "outputs": [],
+      "source": [
+        "##initializing my Wordcloud library\n",
+        "\n",
+        "wc= WordCloud(background_color= \"black\",\n",
+        "\n",
+        "              stopwords=stopwords,\n",
+        "\n",
+        "              height= 600,\n",
+        "\n",
+        "              width= 400\n",
+        "\n",
+        "              )"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "f-GxG8yF3iJe"
+      },
+      "outputs": [],
+      "source": [
+        "train_tweets= df_train[\"tweets\"].dropna()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "HawrS2_J3i0R"
+      },
+      "outputs": [],
+      "source": [
+        "##converting all textin various rows into a single string\n",
+        "\n",
+        "train_text= \" \".join(train_tweets)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 870
+        },
+        "id": "SPKrkanF6vK4",
+        "outputId": "7345439c-c138-4c58-97d8-01f9f62ab97c"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "<matplotlib.image.AxesImage at 0x790b260a9030>"
+            ]
+          },
+          "execution_count": 32,
+          "metadata": {},
+          "output_type": "execute_result"
+        },
+        {
+          "data": {
+            "image/png": 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JNddcQ0dHB7fccgu//OUvTzq+2Tjx96mrqwOYdd5isRgA+Xx+Ttfo7u5mxYoVUxysT5wjVVW5/vrrufPOO6tmoTvuuAPbtmcVck5lDkdGRhgcHKz+FQqFOY3heG699Vbe97738Y//+I+sXLmSiy66CFVVed/73gecWXTUhODy8MMPUywWee6557j88su54oorqkLOww8/TCwWY8OGDYBvPgRfgG5sbJz0941vfAPTNMlms4yMjJDJZPj6178+5bgJX6jh4eFZ+7dkyRI+8YlP8I1vfIOGhgauvvpq/uM//qPmj/MipCbk1Dgl3v3ud3P33Xfz1a9+lWuuuWaSP8jpEAwGeeihh7jvvvt4z3vew7Zt23jnO9/J6173upM6y55NFEU5pe3iBOfqMz1/rszU3lyor69n9erVPPLIIxQKBbZt2zbJ9+nSSy/lkUceobe3l6NHj55R6Ph0vhxzpampieeff56f/vSnVb+va665hptuuum02zyd32H16tUAVQfy+eTGG28kn89XNZ4//OEPWb16dfWFfqZcfPHFtLa2Vv++8IUvnHIbuq7zjW98g/7+fh566CH27t3LPffcQzabRZZlli9fftr9a2trY8mSJTz00EM89thjCCG45JJLuPzyy+np6aG7u5uHH36YSy+9tCo0TnwY/dM//RP33nvvtH+RSKR63O/93u/NeNyEcD8b//zP/8y2bdv4y7/8S8rlMh/72MdYt24dvb29pz3uGvNPzfG4xinxtre9jQ9+8IM8/vjjk9TpJ9LV1cV9991HPp+fpM3Zs2dPdf8Esixz5ZVXcuWVV/Iv//Iv/P3f/z1/9Vd/xYMPPshVV1110kiP42lsbCQWi7Fjx45Zj+vq6qqqwo9nuv69kEz0Y+/evbz2ta+dtG/v3r3z3s8tW7bwzW9+k1/96le4rjtFyPn+97/Pr3/96+qxx/fzTOZzYv/E1/jxTNeurutcd911XHfddXiex4c//GG+9rWv8Td/8zdn9HI9FVauXMmqVau48847+dKXvnRSzUVXVxfbtm3D87xJ2pzp5uiKK66gtbWV2267jS1btvDAAw/wV3/1VydtH+Y2h//93/89yZx0Ykj3qdDc3ExzczPgO77/+te/ZvPmzWec5+byyy/noYceYsmSJVxwwQVEo1E2bNhAPB7nl7/8Jc8++yyf/exnq8cvW7YM8DVsV1111YztNjY2Eo1GcV131uOAk64969evZ/369fz1X/81v/3tb7nsssv46le/yt/+7d+ewkhrLCQ1TU6NUyISifCVr3yFz3zmM1x33XUzHnfttdfiui7//u//Pmn7F7/4RSRJqkZopVKpKedOJN2aUNWHw2HADy09GbIs89a3vpWf/exnPP3001P2T3yZX3vttTz55JM89thj1X3FYpGvf/3rLF68eN59GE6Xiy66iKamJr761a9OCk2/++672b17N2984xvn9XpbtmzBdV2+8IUvsGLFikmmr0svvZRCocB//ud/IsvyJAHoTOeztbWVCy64gO985zuTVP733nvvFH+esbGxSf+WZZnzzz8fYEr4/kLz2c9+lrGxMd7//vdP8cMCP9rprrvuAvw5GhwcnPRx4DgOX/7yl4lEIrzqVa+qbpdlmRtuuIGf/exnfPe738VxnFlNVXBqc3jZZZdx1VVXVf/ORMg5ni984QsMDAzwx3/8x2fc1uWXX86RI0e47bbbquarifvuX/7lX7Bte1Jk1caNG1m2bBlf+MIXpjW/jYyMAL7W7vrrr+fHP/7xtB9DE8fBzGtPLpeb8nuvX78eWZbP+j1YY3Zqmpwap8xczALXXXcdr3nNa/irv/orjhw5woYNG/jVr37FnXfeycc//vHqV9ett97KQw89xBvf+Ea6uroYHh7mP//zP+no6KhqCpYtW0YikeCrX/0q0WiUcDjM5s2bp/h1TPD3f//3/OpXv+JVr3oVH/jAB1izZg0DAwPcfvvtPPLIIyQSCf7iL/6iGg7/sY99jGQyyXe+8x0OHz7Mj3/847OSmG4uaJrG5z//eW6++WZe9apX8a53vasaQr548WL+6I/+aF6vNzHnjz322JR0/itXrqShoYHHHnuM9evXTzJVzsd8fu5zn+ONb3wjW7Zs4ZZbbiGVSvHlL3+ZdevWTXppvf/97yeVSvHa176Wjo4Ouru7+fKXv8wFF1xwxokJT5V3vvOdbN++nb/7u7/jueee413velc14/Evf/lL7r//fr73ve8B8IEPfICvfe1rvPe97+WZZ55h8eLF/OhHP+LRRx/lX//1X6f4r73zne/ky1/+Mp/+9KdZv379nMY21zmcjZ/97Gds3boV8PP2bNu2raqZePOb31wVKP/rv/6LH//4x1xxxRVEIhHuu+8+fvjDH/L+97+f66+/fs5zOBMTAszevXv5+7//++r2K664grvvvptAIFDNYwO+APSNb3yDa665hnXr1nHzzTfT3t5OX18fDz74ILFYjJ/97GcA/MM//AMPPvggmzdv5n/9r//F2rVrSaVSPPvss9x3333Vj6+Z1p6tW7fy0Y9+lLe//e2sXLkSx3H47ne/WxWgaryIeKHCumq8NDg+hHw2TgwhF8IPIf6jP/oj0dbWJjRNEytWrBD/9E//NCm88/777xdvectbRFtbm9B1XbS1tYl3vetdYt++fZPauvPOO8XatWuFqqpzCifv7u4Wv//7vy8aGxtFIBAQS5cuFR/5yEeEaZrVYw4ePChuuOEGkUgkhGEYYtOmTeKuu+6a1M5EyPOJoaIzzctESPLxIfGA+MhHPjLpuInw33/6p3+a0/Vuu+02ceGFF4pAICCSyaT43d/93Wqo9wQ33XSTCIfDU+Ziok9zpa2tTQDi61//+pR9b37zmwUgPvShD03ZdybzOcGPf/xjsWbNGhEIBMTatWvFHXfcIW666aZJ4c8/+tGPxOtf/3rR1NQkdF0XixYtEh/84AfFwMDAScfGDCHkJ6YwmPh9jw/7n42J+7ipqUmoqioaGxvFddddJ+68885Jxw0NDYmbb75ZNDQ0CF3Xxfr162e8lz3PE52dndOmYhBi+hByIeY2h7MxkYpgur/jr/XEE0+IK664QtTV1QnDMMSGDRvEV7/61UnP91yZKVS9qalJAGJoaKi67ZFHHhGAuPzyy6dt67nnnhO/8zu/I+rr60UgEBBdXV3iHe94h7j//vsnHTc0NCQ+8pGPiM7OTqFpmmhpaRFXXnnllPt+urXn0KFD4pZbbhHLli0ThmGIZDIpXvOa14j77rvvlMdeY2GRhDhND8caNWrUqFGjRo0XMS8OnXyNGjVq1KhRo8Y8UxNyatSoUaNGjRovS2pCTo0aNWrUqFHjZckLKuT8x3/8B4sXL8YwDDZv3syTTz75QnanRo0aNWrUqPEy4gUTcm677TY+8YlP8OlPf5pnn32WDRs2cPXVV580nXaNGjVq1KhRo8ZceMGiqzZv3szFF19cTRbneR6dnZ38wR/8AX/xF3/xQnSpRo0aNWrUqPEy4gVJBmhZFs888wyf/OQnq9tkWeaqq66alDF1JjzPo7+/n2g0ekop/2vUqFGjRo0aL22EEOTzedra2k6aaPQFEXJGR0dxXbda72SC5ubmah2X4zFNc1Kq7L6+vhdN2v0aNWrUqFGjxtmnp6eHjo6OWY95SZR1+NznPjepEFuNGjVeDMioSgDXtRC8eCrGn5MoEhf81etQw4EpuwZ/c4DeX+4G7wXoV40aC8iJpVCm4wVxPG5oaEBRFIaGhiZtHxoaoqWlZcrxn/zkJ8lms9W/np6es9XVGjVqzIAiq+hqEEXRXuiunPNIkoQS0NAiAfREkGBzlMbNXTS9cjGRriSSUssWUuPlx1zcVV4QTY6u62zcuJH777+ft771rYDvZ3P//ffz0Y9+dMrxgUCAQGDqF0qNGi89JGRZRXguAg9JkpElDdezUJUAIAEerucghIsi60iS/4JyPRshfI2JJMkosgZICOHhCbe67/hrKbKG69mAOOFaOv43jsD1LITwJl3LEw6e50z0GEXRARDCxRMeCIGmhtDUII5ngSuhyOr4+TICD+E5eMI9blxifAw1lcJ8I1yPvvv2oscMlKCGnggR6Ur6016jxjnMC2au+sQnPsFNN93ERRddxKZNm/jXf/1XisUiN9988wvVpRo1FhxVMaiPLSVXGsC0cwQDSZKxpQyMPs+i5leiKUEsp8hoZh9lK01T3TpCRj1CuAynd1EojyBJEkE9QXNyHYocoFgZJV8aJF/qn3QtXQ3TVLeGodR2HNckbDSSjC1hMLWdtvpXENCjOE6ZwdROSpURmsevBYJMoYdU/jCeZ2PoMdobNyJJCoXyEIXyEBUzS1vDBZStDLZbQQiP+thSDD2BrkUw7RzZQi+F8hAdjRejqUEsp8RY9gCF8tD0k1Pj9BEw+OAB//8l0GIGS99xATUpp8a5zgsm5Lzzne9kZGSET33qUwwODnLBBRfwy1/+coozco0aLydkSUbXoyiVUSRkVFknqNehKgaqrJMr9ZPOH8G0C7Qm16PIKqXKKI5r0dm0iQO99+N6NrKiY+gJ9vfeO0nDczyesCmZY9THV1A20+P+MzaWXWIovZOQkcTQ4zTEl5PXo3g4pHIHyRb7xzU2DiGjnlAgSckcYzi9F0841WuNZPYQj3ShyDquZKFpEfLlIUrpXYSMeprq1hI2GnA9i0o5hywpdDZdzJ6jv6hpc2rUeJmwbtN70Y2T+8bMhGUW2PnEt+axR5N5QR2PP/rRj05rnnoxoSjwnhvDNDbKPL/N5t4HKqfcRl1CZsP5GldcGuA7/12kp8/Fm6c1XlWho03hf78/wm+fsHj2eYvevpoT6ElRFHBfiHmS/P+kiT8ZWZKxnRJjuYNoaoh4uINCZQRNC+G6Nq5n47hl0vnucdMTIASOa+K45rQCDvjmrWJ5lLqmxehqiIqdJ18eIh5uR9ciSJKE59koWgRVMfA8F9ut4HrHIhllSUWWNWy3guNWADE+ChnXtcf1BNL4uPxx2E4Jz4ujKDqaGsJ2y7iuhS1cMoWjvECpuWrUqLEAOE4FyT7eL08gPA9NDxEI1QFgljN4roUQICsaRjABQKWUppgbXND+vSSiqxYKWYKmRpmxtIdtT3+MIsPllwVYtlTFcTgtIScclli7WuOt1wX5+T1l+gbmT8hRFGhoUHjn9WFMC7qPOueMkCOpMnpDFD0ZpjKYxclVEM4cxi7L6F0d2D39iGl+eClooCbi2AOzmFVkGSmgo9bF/fe+BEgSCOELIKkMwrSmnCbwcFyTYKAOkNC1SHWf5RQJBup8M5JXwXbKKLLma0pkm2JlFCFcJElBCIE37mszE0J4mHYBRdZRAhqWU6JspqmPLcMIxHGcCp7w/W5c10RTQ+hahKBeh+OZ2E4Zz/N9c3QtTChQh+NZ4746AkOPVf1yJvrieROaHn8eLKeEomioSgDLKVGsjM7a52mnWlOoW99KZbSInTeRZAi1xpBUBStTxkyXsHMmeixAqD2BrCl4jouVKVPqy87YrqTJ6PEgRn0YJaD6DzsCz/TPtTJlnLI1c3clUMMBtIiOFgmghHRk1fdpEp7AsxysbMVvpzRLO7KEHjPQogG0aABZV6v3knA8XNPBzlWw8xWcigPewguJasTvix43UAzNF4hdD890sLJlKiNFhDv7IibJEtoJ45IkCeF5CNfDNV3sXAUrV8E1F35ckiqjJ4Jo0QBqSEfRVZD832pinq2s/7t71tR1RNYUtJiBnvDnRNYUJEUCD1zLwSlZOAWTyljppGORFIlAfRgtNt6WKiPJEp7j4dkunulg503MdMmf51maCyRD6IkgSlBD1hUkScI1HZyi5beRKvnr0gKRHTuMohrHbRFoeohgpAlVD1HMDVIujOC6FgiBrOiEIo0Y4XosM0+5MLJgfYNzWMiRJDAMidddGeSe+8oMjyyc+lwIX2lQrojqtWucOUo4QMMVq2i86jz6fvgEmWeOYKeLJz1P0jUS172Bsf/6Ie5Yesp+va2VyGWbGPt/t83YhmwEUJsbiVx2McgSkuxrMxAC4brkH/wtdt/ULxTXsymUh+lsugjTLoLwcD0bQ4+TiHQR0CLjTsSCVO4wzcl1BAMJTNvwBYnqzSPwZtDgTEZQsbLoagghPFzXRAgHTTF8p2TXxvUcssU+Oho3EtfbMYPNFMpDpHKHqVhZZFmjqW4NAT1OqTJKxcziuibJ2FJCRj2uZ6Io+rgJSiDwk3U5rslY9iCLmjch1AiqnafgOUw4Ic8VvS7IRZ+/jr6795De0Y+sKSy98RXoyRBDjx5m6OGDjD3TQ/LCdpa/ZxOB+jB2vsLwY4fZ938fw7OnPtuSImHUh2ncvJi2q1YSaoujBDUQgspwgeHHjjD82GFyB0Zxy9N/ASkBjfiqJurWNVN3XhuRpfVokQCSBJ7lUh4pMPrUUYYePURu/8ztaNEAyQvaSW5oo259O0Zj2BfUbAenYFEeKjD2TA+jTx+lcDQ9YzvzhaTJJFY3kdzQTsNFnYQ765AUCadoUR7KM/LkUXru2oGVrSCcmddNNRqgfmMHyfPbSJzXhtEQRtYVPNPBKZiUhwuMPd3DyFNHKfakcSvOwg1Klgg0hGm+ZAl157USW96A0RhBkn2BwC6YlAdzDP32MMOPHqY8mJ98uiYTSIZo3NxF4yu7CHck0BNB1KCGZ3tURgvkDo6S3j5A/717sfPmDB0BSZHR4gZtV64keUE7obY4WtxA0VXsfAUrXaY8lCe9tZ+++/y2phUoJZB1ZbxPi4kuThJoCCMpMpWRAtm9w6S29jH44AHswsz9OVMGu5+Ysq2x/UIUNQjCY8+zP0B4k39bSVZZvPr1aHoYRV3YoKJzVsiJRiU2rNf52IejbN9pLaiQ09fv8n+/VeD/+04B111QofqcwsmW6fvxUxiL6nGKp/YQC9ed8WtLkmVkXZ/1fK9Uxjp8lFR3D5Etm3CGRzG7+xCOQ+y1l8+oUfI8m1yxl11HBn2ByBcJAEHZTPl9Q1R9VroHfzseJilNMkv5DsDDnFxYEBwderz6/wBD6V2MZPb5EVDVm1FwZPDRGa41yK4jPx3XILnVdg70PXCcuDKhzvL/lSl0kykcBQT7e++rRm3NZFqbC6HOBLFVjSgBFbtoEmiM0HblSoyGMOH2BMvecxGlviyeZWM0Reh66/lkdg4x9lwvdu44DawEHdesofW1/kvGsxzKA3nKw3lkVSbckWDJjRfS8urljD7ZzZ6v/XZawaL58iUsuu486s5rBaAyUiB/eAw8gRrSiSxOEl2cpPGVXQz/9jB7v3ZCNncJ1JDOxv9zLZEl9SiGilO0KHanQJJQwzqBRJD6C9upO68FK1+h2Js57fmbC5Isse5jr6Lhok6Mxgie5VA4mkEIgR4PElvWQGJNM02XLubAd55i9OkePOsE4WR8XBf9/ZuIdNUh6ypO6di4tIivIaq/sIO681qopIqzatzOFMVQSaxuZv0nryJQF6oKNvlDY3iuhxYNEKgLUX9hB+XBPKnn+qa0EV3WQPNlS1j2uxeBJPkaxFSJfK6CamiEF9UR6kjQuKmL5kuX8PRf/xxvGqFN1hSiyxs4/8+vJNyZ8LVHmQrFwymQJf9e7kgQW95A/cYOBh4+CNMJKBKE2xOsuGUzzZcvBU9g5U2KPRmEJwh3JGh91TKaLllM++tX8+xf/wI7X0GcBS0gQLJ5NZIkM9z73BQBB0B4DqmhPdS3rqOp4wL6Dz+6YH05Z4WcWFRm44UaqnJ2rud5zJuJ6kxRIwbBxQ0E2+tIPXYAz7QJNMVoesP59Py/R4lt6CS0pNFXo+oK6ccPUu5JYWdKADS+/jz0ZMT/8gWGf7kdcyRHbH0n8Q2LqAxm0JMRzJEc5aNjFPbObHM1OpIYLXG0eJCR+3ehRAzi53ditCbo//FTdN60BSdXRrgCNaxTPDJK7vmjuOVxU5AnTtX6AYznFYmG8UqlSWYlKaAjBQ3f2WkueAI5FESORlHiMXBs1GQcSdeOma+mQYipD/70mhkxiw/LXAc+9Thvmuuf7FpT+yxOaPnEc48JUGci3ID/e8VXNjL2bC9jz/SQ2j5A8+VL6bxmDfFVTejxIEfv3MHgwwcJtcaov7CDjjeupe68VrL7hicJOS1XLKN5y1LCnQmyuwY58N2nMdMlPNtDkiUCiSDLfv9iwh1xkhvaWfSW8zh82/NTfsvU832oIZ3U1j6y+0YoD+XxbH+csq4SWZRg9f/eQrApSnxVM7EVDeT2j1bPVwyNxosXEe5MYKVLpHcMcPSunbglX6CSFAkloBJsjmI0RcnsHMBZQC2OGtZp3rKUxs1dOGWL/vv30f+rvVRSJUCgBjVCbXGWvPMVhDsTtL5mObImM/ibg5PbCeo0blpEuCNBZaxEamsfvb/cfcK4NILNEYLNUbJ7hnEqCzMuJaASWZxk1QcvxUiGyewZIrW1j5Enj1bvCUmRUIM6obY4pYEslZHClHaKvRmGfnsYLWqQ2tpHZbSIU7IRrn/PhDsTtF65ksZNXcRXNxFf2Uj+4BhOcbLJOtyZoP6CdkKtMbJ7Rzj6sx3kD45WzWOypqDHDQLJEIFkCCtTnlaLE1/ZSOPmxTRc1En+4Bh9v9xN7uAodsECBIFEkKYtS2m4eBHRZfUsett6+u7ZQ3kgN/+TPA2KZox/8sy2RknIsoaqhRa0L+eckHPJZp22FoUli1W2XBogFpN5+9tCXLr52CK8bYfF3v0OI6PHbi5P+NqfVStULjhfJxaTcBzI5Tx6el2eed6a4sf6+qsMWpsVwqFj9qkf31liaHh6aUdR4MpXG7iuIJPxKJYFG9brxKL+tbLj13r2OYuTmMMBCAQkVq9UWbNaw3PhnvvKFIoCSZVRowZ6YxRJlcGWkQ2dYGcSSZEIdiYxWuMU9w8hXA8nX/EXb0VCS4QxWhPYmRJ2toQaDhC/sIuxR/aiN0QILWmgeHiEykAGO1PCOYmaVDE01HgQvd73zpdUGa0uTKAlDhJEVraQ29FLpT+Dky1hZ0qIM5UWXQ/z4GGMFctQmxpxszmEZSHpGmoyiRKPYfVM/ZqbCbtvCElT0ZobQAjswWG8cqWmsptn1LBOaSBHals/+cNjqGGdlsuXYTRF0RMGw48fIXdgBCtTRo/7i2ywJYqsHfuSkRSJhosXEV6UxC3b9D+wn/T2fpyy4/9eEpR0laFHD9F+1SpCbXEaN3XRfce2KX4aZrpMams/iqFS6stONlHIEuZogfyhUeIrfSEs1J4gd2C0KvtJiozREkUxNArdaXIHx8juGZ6sYZQlSv1Z9ESIymhx4fxWJNAiAZovW4IeNxh7rpehRw6R3jHg+8uM97cyWiTUnmDZu19BfHUzlZECQ48cnvQillQZozmKYqiYY0Xy04xLkiVK/Rn0upAvVCzQuIymCIk1LUSXNmCmSow+dZSRp46S2z8yydQmKTKlgRye5UwrSDolm1JvlsGHDpI/OIpdtCadb44VCbXFiSyqI9JVR7g9Qak/N0XI0aKBcbOdSuFoity+EfKHRid9HyiGihoOoMcMX0t2wtRIskR0SQP1F7ajhnQGf3OA0Wd6KQ/mqkJ2SVeQAypKQKPzTWtpvHgRo08dpTyUPys+XZ5jogViROLtZEYO4LmT50FWdEKxZnQjimOfup/rqXDOCTmXvjLAxgt0li5R6WxX0HWJG94awrKP/fD/dVuRVMabJORIQHurwmteFeDNbwzR0qzgOoLRMY9tO2y6jzqMpT2c4z52r3y1wSs26LS1KkQiEtGIxBNPWwwNT3VIBVAVuPGGEJIER3tdhodd3nRtkOYmBccRjI56bB+/VuqEa52IokDXIoWrrzJ40xuC9A26PPakSbnsnvT7XwloeJZLbkcvTraMU/Bt73JAJdhehxo1yG3vodKfQW+M0nrdhWSeOYwc0JBUhfzufqyR/Gm95E90V1IjBuZgluxz3Ti58im3Nx3CcSg9t53Y61+D1t6Km8nhlkrIIQOtsRE3k6X4zNY5t1fZdwi9owWtpQlUhfKufXi5/MlPrHFqeILyYI5CTwYEFA6P4VZsEAK3bJPZPYiwPaxMmcpoyTeNxI2qM/CEGSW5oR09bpDeMUDffXtxSse91AS4psPww4eoW9tCbEUD8dVNqGHdzwfkHrunheNROJKasa/mWIns3mGCTVHkgEKwKTL5GIlqJmLXdPAsB0VXJvumeAIrU8HKLOyLQNYU9Log9a/oxHM8xp7rZfSZnqqAA37CQTNVYuCBfSy5YYP/Uu9KogS1yR8zki/oALgVe9pxibM0rnBHgrrz25ADCtl9w4w82e0LXCcgXA9zbBZ/Pk9g503Gnu2ddreVrVDoTlM4PEakK4nRFPEdm09ElsYd3MEpWEgSyKpSFU4A3IqDW3Fm7I8S1IgsSRJb2YRTsui7by9WujxJ6PIsl+zuYVTDF3Liq5oIJENT768FolwcQzdi1DWuID28H8vMIrxjiUx1I0aiYTlaIEopv7B5s845IeeOO0v84p4yy5eo/O6NEc4/T+VTf5tlz95jC91oytekHE8iLvOaVxlsOF/nm/+vQE+vy/JlKps2Bnjve8IMjbh874dFBgePnfc3t2aIRmRWr1K58fow737n3NRy56/XufSVEumUxzf/q8DRHpdVKzQ2XaRz0/i1/vu24owaIUmChnqZz/xlnI52lUOHbT72J2nyBYEQcGISfkli3HF2fPy/2UN0bRuLbrkCr2DRd/sTVPozSKqC0ZogsqIFoyWBUzJBCMzBLJ7tIlwPr2xhDZ+BSlSWJjlme7aDnS7Om4AD+NqWgSHGvvdjtMZ61KYGlEgEe3SM4mNP42Zy00ZdzdicaWIe7MY82D1/fawxCSEETsnGKduI8ReCXTD9qJiK46v1xx2MPdut+okoAdV/seC/yGMrm9BjBlamTLE3g5ObXtNYGsxh5XyhRtYUIl11ZPeNVE0uc8VMl3FNBzUSQDH8DNUTn+ae5ZLfP4pwPZIb2lCDGlamzPBvD08Sps4GgWSIyJJ61IhOdvcQlZHitGMVjkexL4NruahhXzMRWZQgs+vYi8qzXPL7RhGeoP7CDhRD8x3Bf3vkrPmETBBsjZFY3QQCBh7cT2V4qilqvnDKFmbWF9oUQ/Mjr07AHClSPJrx/cKuXo1TtJC1I2T2Ds9ZwxJZnCTYHEWSJXIHUtgzOIBb2TLl4TzC9pA0mWBLjEB9eEH9nyYY6XsOgPZll3P+ZR+kXBjBscsI4aGqAULRFkAwNriL/sO/XdC+nHNCztGecdunJJHN+aHjR4647Nl3TLqdzn8mEpF4+lmL/+87BR593MJ1Bb95WGLrdptFnQqvuszg53eXJwk5lgWptMfwsEc6e3INygTxmMTjT1p867sFfvuEf62HHjXZtlOno13hVVsMfvqL8hQhx7YFsgyLOhW+/u9JHAd+eEeR2+8oVQUcGA+ZNB3UkI4kS6gRg0DjsWROlYEM1kie9FOHaXj1amLndyIbGqXDI5T705QOjzD6690U9g+Nt+f5TnZCnLLyRti+A7AS8h19Aw1R1Ohx4YgLafKxbezBYezhUSRF8Z2RT8MzXGlIore3oDbWj4fICspbd+KMTv7Kl7UAoeYuuq5897x0X3geB/7n37BL+epX0ksJSVHRIgmaL349/Y/8BLdSmvV4r2xPXsyFL/x4tuuHVle3H/MtkiSpqh2UFN+pWFJkQq0xOt+0jtbXrJjxelpYHzfneqjhAJI8tf6TFjMItcepv7Cd+IpGAvVhlJCGoqvIuooWDaAYKuWhwhQ1pWc6jD3XS9+9+2jctIjE2hbW/9mVlAdyjD7dQ2p7P9ndQ1iZeRTwZxpr1CDUEgMgtrKRCz/zhknaheOR8CPekCTf9H1CUVC3bI+Pay+Nm7pInt9GbEUj5YEcI08eJbWtn+y+IewF1uKA//sYTRFAUOhOYZem16LPBUmVMRoiNF++xNfWNIT9CKuQjqQpqIaGOu6nOFOi6VJ/ltGnuum/t4nW16xgyTsuoOOaNZSH8ww/cpihRw9RGS3glmfWtoRaYmhRv3xH3boWXnPbe2f0pZNVGUnz71slqPlC/1mgVBil/9AjpIb20NRxAcFwI6oWRJJkP8t6z1OkBndRyg9hVRbWT+icE3Im/GYcV0ykNMFxxaymHwDH8aOknt9mUy77N5SFr/EZHHTp7FDRtKl3thDgeuKUnI4dB3r7XLZuP+5aliCT9hgcculsV9Gm+eUUBVYu9zU+ngs/uL3Ek8+YjI55k97bXsWiMphBS0ZoeM1aPNNBDesg/C+Q2IZFGC1xhCcIdTWQfbYbJ1vGs13KPSmsVJHwyhaCi+oRnqB0ZJTigdNTOVqpAoGmKIHmGM1vugBZVdAS4UmCxnSPr6QpaPGQ39e2BPELFqHFgpS6RynsGTjpdSVVxVi7Cq2pATkSGf/AFjijKez+Qczuo8zJ8QkwVixBNgII08RzXJRkAqZ5ISJJ/os9FJtTuydDeO7013mpIElIsowSCDKX8gNi4oE9cTvM6StYkiX/JSSBa7s4BQsrM7NgZaX9fZ7j+dFVJ1wjvqaZxs1dJFY1YTRFEI6HlTexcr4Pm3A8Il1JQq0z/96e7dJ7924KR1LEVzWSWNtCuDOBEtRIrGmmNJgjva2foUcP4xTNBdPwyJoyrmkCt+zn5XFncQY2x+em1Jud9jjPdun9+S5/XCsbSaxpIdxZ50c6rW2mPJgjvX2AwUcO4RatBdHwSKo8nstG9p/tkj1ryPtsBFuixFY20fbaFYQ6/NxYbsXBTJcpDeYRjkegzi+MGmpPzNiO8ASVkSLdP9lOaTBH3bpWQm1xokvqUYM6iXUt5A+Pkd03wtjTR6c1LSlBDVmTEZ7AKdv+bzHLh9mEI7WVKc8ouM47wsO2y3j5QYaOPo2qBZEVFZDwPAfHLlMppXBtc8Gzn59zQs7pUq4I0hmP0bHJP4jjCPIFQTAozdv7plye4VouFKrXmvpS6OxQiUZlrr7K4OAhh6efMzl4yJniEO3ZLlaqSLkvjaT45iE7V6awbxAhBIqhoYQDCMfFTvvH2dkyeAInU6J0eBi9IYoSDoDr++ogSVgjeYoHT03YcYom5mieykAGNaT7ybSGsnim73CX3zMwvalq3J9BCWqUe1K4JQtJkf1EaidDltE6WtFam1DiMT9cXIjxl64/r16lgt0/t0ycajKBVyrjZvN+dJaqvjDChyQTiNcjKZqfWMx1sPMZQKBFEniOg11Io4aiyKqOWyni2iZqIIwajo7PgYwkgZkZwbNt1FAE1Qj7yQ8lGauQxjMrVc2RHm9AVjU/RFwCK5fCtUxkTUcLxZBUv2inUy7gVIoIx8ZItvjtyQpqMDzn4c0WZDZX5ZskSyCBkzcp9KRJb+s/6TnCFVTGinjHpQWQAypNr1xM85alBFuilAdzZPeNUBrMYedM3LKFa7k0j4coz0Zu3zBWukSpP4OVLpNY20KgPuz7XaxowGgI45QsMruGqIwWTiua8KRIMB7lj5kqkt4xSGXk5H5lleEiZnp6TVN27zBmukSpL4uZKlXHFVvWQGxFI0ZDBLtgktk1NLs/zGkyocWTkPwon9PUCsu6QnRZAy2XL6X58qUUezIUjqQoDeaojBR9gdByiC6pp84Tswo54PspZXYO4hQtrLES0eUNRBYlMRrD407xdQSbo3i2y9jTPVOiq6ppHmyXykiB4UcPzykYo3g0PcURekERHq5jUsjOPYhjIagJOXOkUPCqWpXpmM8Ef/miV00ceDwTH7IzvT9fvSWAZUMoKJFIyIRDEqrKVC2VAK9i0/vd6XMTjD64e9b+jT28b9rtmWeOkHnmyKznTsETlA6PUjo8Ou3uo//fQ9NuF5aLOZRl6K7nT+16+Fqc6OWXYB45SnnH7mNJ+ySJ4LpV6O1thDdvJPM/P5/bEMoVnLE0zlgaY+1K5JCBpCm+L8hZ9EGQNZ3kmk0owQiyquOUC6T3PIXnWNSveyVWIUtq95NEO1ejRxPke/ZipkcIty4hvvx8PMdGVlQkWWH4mfuoZEaJtC0j0rHcF5xUlczeZymN9OAUfRVzcvXFqOEYsuz7voxue5hKagijrpn4svWowSiyppPv2Uux7yBWPk3D+i1Iqupnvj2bZjYhfEda4Wsi0lv72f/tJ0+5GUmRCTZG6HzTOgJ1QfKHUxz83rMMPLBvigAS7kgQW9FUTbcwE5WRApWRAqNP9xBsjtF82RLqX9FBYl0LDRctItQWZ+//fYzhRw8vyNe4cLxq9FipL0vv3btIbz+5RvRkVIYLVIYLjDzZ7Y/r8qU0bOwksaaZhosXEWqLsfsrjzL65NF5H5fn+H6CE6YcJaAhyTKCU9McBJIhGi9eRNtrVyIQHPnRVkae6J4Sau6WbIJNc6/hVDiSonAkhRLUCDZFaLtyFS2vWU6wKUKoJUp8ZROPf/wOP2rvuHXEtRw/Y7TlUjya5sD/e+rsaWhOCb9szcQH0IwIxjOmLww1IWeOeN7ZiwgWp3mtJ562ePChCtt32Hz/O/V88k/i/OD2Irf/z/RfWqoahPFU/N40CZvmgn8Dy9MmfJrb+cp4anU/W+5ZQZaQY1HKO/fipo7LeCwE5R178Cyb6BWXzLm54hPPI2wbSVPx8gWsTBYvt4DhvtOgBsMY9a1Iqs7gYz8HJIyGVho3vpaee79Hoe8QRrKZlk1XYyRb6HngNuxCBkUPAn5yxNGtD2GX8hjJZhoueBX57r2owTClkT5Su55AjyaoP+9StEicsR2+s2CwuZPcwe1kDmzFtcogBEaymUCiAeG69DzwA/RYkviy86k/fwvZ/VtBguFnH8CzTYKNHSTXvvKszJHneBR70gjXw6gPE2w+vaKCSkChfmOH72szXCC1tW9aAQfAaIicVMCZhIDyYI4jd2yl5xe7iHTVseGvXk+oLU79KzqwMmVSz8//l7Gdq1Aa8B1Sw511vvl6PpkY14+ep+fnO4kuref8P7+KcHuchld0YOcrpLeduVB14jWtXIXKSAGjMUJ4UZ1ftuHE5IUnIbG2hVBbHNd2yR8ao//+fdMmh1QjAQLJU8/54pZtCt1p9n3rcY78z1YWvXU9HW9YQ7irjubLljDyRDfm2DGzankgi52v+DmAuupenIXmJZlIrJVk8xoSjcvR9AiSLE/bVcvMs/WRryxYV85ZIcdzoVLxMIz5MzO90PT0uezcbbNrj83ffj7Hze+J8JY3hUCSuP2Oyb4HkiSTbFhJNL6IbPowo8M7Ju03gkmSjSvpP/o4MyHLGgEjRrJpDcP9z2Fbp65yrqtfjqIGKOT6KJfGTvn800KSUKNRguetxitM7bPW2owSiUxz4vTIoQCBJStQ6uKY+48gh4LTqo8926I83MORX30HWTeQtQCyqqOoOopuIOsBZE1HVnVkLYASCKFH61C0k6c9lzUDPVZPsLGdpldcWa1xZeczIATFgUOowTDx5RtI7XoC1ywfJ0kL7FIez7HxrApOMYcWSaDH6nArJZxi1rexF7IoemDch8ZnbPtvMZItNF90Fa5ZZnT7I6jhBIG6JkLNXbRsvgZJ8WsWuZUSajiKXcjgOTauZWIXz05yMvCFnOz+Eey8idEQJtQeJ7KknsLhU7zvJKlaz8kpWb4JYBoBR9ZVYisa0OMGVvYUnWyFb9aojBQZe66PYHPUzxQcM05+7mlgpkvkD6dwS3626EhXksKR1JTyBmeM8F/qleECY8/3ERx3otWjCzOu8rBfbsFoitB06WJKA9lTduRWAiqSKiNcDytbntZ/SNYUQi1RIovrTr+zwhc2C4f8/DnBpgiBZHiKCT7fnaY8XEC4HsGWGNFlDRSOpBa83MepkGxeQ33zGhKNK7DNAuXimP/1Pg2n8944Fc5ZIce0BAODLqGgxIUbdFwX0hkPVZXI5z1yeQ/zDMt96DpoqkQ0IhM0fPtwLCoRi0rYju9MPJ+FsE1TUCoJCkXBbx42Wb9Oo2uRyjWvM9i5y2bvfrt6PSEElXKaZONqVC04qR1ND6Pp4UnaHUlSfJMEoAUifnInMS7oBGLj+zVkRcNzbTzPRpZVFCWAqhmYZh7PnSgoKaFqQVTVIBBM+JW4lVP42j1TPA+rfxBZ05Ei03xbjIeYzxWtpRk5HELYDkII5EgIaTrPcOHhmiUK/QeRVH+uJEVFVlTfr0XVfXPR+DY1GCG5ejNKXdNJ+yA8F8+x8BwLMzPsO/R5Hp7ph21q4QSSomHlUuiROLKi4h1nY53wq5FkGUlREY6NZ1tVZ2kASdXGTUzHFqvycA+ebRFINKBFEgQb2pEUGc+2cK0KlZRvCvRsC+E5SLKKpGrHqrArZynlOFRznaR3DlJ/QTtGU5TW1yynO1v2w3BP8H3QogHUsI6sKpPKKQhP+CnyhV++QYv5xSer5Q1kCTWkU/+KDoLN0RkjWiRVJtyZ8B2g85UpZQAkRUYJqAQSBkh+NNZszsBngmu5mKkSqe39NGzsJHl+G3bBZOiRQ9jTCGiBBr+oqWs6mKOTX1KyphDqiPvjylV8/7oTx2VoBOJBJMnPEeSaC5O7pdSfJbNrkMaL/ei15L4RPMv1f8/jhRXJF2a0qIGVnVyg0y5aeJaDrMoEEkGUgOqbh8bPl1SZ5AXtxFY0oieCzIZeF0KLBnBKlu+HdIK8JKsKatgv+IoAp2RNuS+dgkmhO0X+0BiJtc20vno5Aw/u9+uanRD2L2kygUQIxVCpjBTOSo4cgGi8nUCoDrOcZrR/O7ZVmtHB2H8vLBznrJBTLAp273UoVwRXbAnQ1KhwtNdF12DXHpsDBx1M8/S8vmUZohGJxV0qoZDM4kUKLc3+VK9epeF6viNzPu+x/8BUx+AzRQg4eNjhzp+Xuf4tIS7dHODqqwwGBl1yeW/8eoJc9ihNzoVTbNS6HkHTgljHSdiKqqPrUWRFJxCI4nk2jmNWb1BZVtEDUTQtRLk8hhAeeiBe3aYoAUqlEYTnIis64UgLiqr7wpR7dh68Kp6H3T+Am89PmzJd2DZeYfZw5uPR2poQpoUzmkYOBlAbksjdvbjTlHUQnotTnluuDiUQItq5CmMOQo5nW9j5NHYuTXHgMI7pR1x4jo0kq4RaupD1APmje4gtWo0WrTtu3iXUYMR3PpZl9HgSMzOCmRtDjyTQwnHUcAwtksCtlHFK41/3koQQHpX0EE6lQLRzJYFkE5XUEFY+jWKEKPQd8MftukiyjBatQwmEUUMxZC2AFo7PeZ7nA+F4DD92BD0RJLG6ifbXrSJ3YNR3yiz7iQUl2Q+NDrXGCdSFQIJiX6b6QhKuR6k/h1tx0OMG4Y4E0SVJKmNFJHyn5GBTlI43rEFS5BnDe5WASv2FHdh5k1J/tprCX7gCZAktrBNeVEdsRSNivAhkZToH3fEkh5IsVYvFasdpfBRDJZAI4VmO79fnCYTjTkk6aOcqDP7mALFlDcTXNCOpMmaqROFwyhdsxx3zJVUivqIJWVepDOenCDmKMT6unEmxP1MVIIUrxlNWBIgu9p2qvXHn2YVwPAYo9/tRXOXBHOHOBE2XLEZSfef6iczGkiz5yRATQfR4kMzuwUnmocpw3tfESRKhdj8SqjKSx7Xc6ly3vnYFka7kSaPfwu1xossasAsmuf3DeLbna4aEQJL8IqLxlY2+kFixKfVPjV4TriC3f4SR+jCRriStV67Eylaqv4dwhR9QIkuo4QCRxUlkVWHkqe6zJuQEI41IkkRqaM+C1qWaC+eskDOW8rj7V2XWrla5+qogWy4JEApJZLMe//SlPMMjLmMzJDM9kRPXsGBQ4vVXGfzj39YRj03WFPzdp/1F3XUhk/W45DVDk6KojkXJzvywTLdmiolzj9v264dMHMcPYf/zP46yZ5/N089akzI5T4fr2miBKI3N55Ma3gMIAkaCRHIpdQ0rGTj6GPVN6xDCY7D3KYSASLQVPRBB0Qzyh/sIBGI0tq5HVQNk0odZvOL1HN73Sxy7hBGqp33xFoZ6nyIUbsLzHNJj0zszLwiKgrFu9YxVyAPLlhC5bBNM7/M8BeF6SEYAJRlHWDZKIuHH85/Fsg6uWaI82k+kI0vTxiuRZAXXLFMcPIKVHSUQr8fKjZHe/RRWLk3dqo3kDu+iPNLrvySNEA3nXeZHPQH9j/0cK5civmQdkc6VtLW+BVnRGNv5GOXhHkBC0YO0XvomZC3gL9KKwsBjv8DKjWHUNWPUNdO+5a0AVFJDlIa6yffsQ1qzmYbzt+A5Fq559stfDD64H1mREY5H06WLecVnr6kKGa7poMeDGI1hlJCOnasw+kQ3/ffurQornuWS3j5A4UiK2IpGkhvauehzbyK1vR9FVwg0+DWZJFWm56c7qb+oEzU01cdFMTQaX7mYhgs78DzPjzRMlbCzJkpIw6gPYzSEQZb8ml3P95E/ONW0pgb9mlOBupCfC8XwNRIT0RCJda0s+72LcIoWTsnEKduUejOMPHF0UjtO0aL37t1EFiVpvtyvYdV40SLyR1LYubKftiFiEGgIoYUDpHcMMPibA1OyACshnaZLllB/YTueMz6utD8uNaQRaAhj1I+P65kexp7vJX94jovtKeKULHL7htn9lUdY/2dXUX9RJ/Wv6MB+z0UUDqdgXBunJ4IYjRFGnzqKOVacJORk942Q3TdSDe9/xa3XkDs4ilM0UYMa0RWNyKpCescAmd2DdL5x3Yz9CS+qo/31q0msa8YpWv685E3cso0WCRBeVIcSUHCKNqmt/Yw914tnTv0Kzu4ZxspWMOrDdFy7hlUfuAQ7Z1IeymNny2gxAy0RRI/6SSgHHtxPdu/QFIF0oVA0A9exKGSmzxB9NjlnhRwA24Yv/WeBr/zfAvJ4KLXwoFz2sMaFZ8uGP/yzNIrsJ/c7kb37Hf7oL9JVMxf4WqI77ypz/4PmrFFXnmBSZmXTGr+WwrSmst17bT7+55OvZZrw/DaLi7YMUjEFpjn5hfH4kybPbbW49XM58vnZS0FMUCmn0YuxKUUcXcdkbGgXmdQhVC2EqhpIskI40kQwVM/o8E4G+54FIUjULycYrEdRA9QrATQ9RCjSiPA8VC3EyOBW0qmD6IEoqrYw9vjZELMl/ZNlZH3u5rPiY8+iL2pDa29BDgbJP/jIlESAZwPPthh+7sFqxW8QvnlJeJRH+hDCj2Yq9h2gNHDY16qNCyiloW4yB7Zi5fx+e44FQpA7vJP80T34McYgHKfqJO6aJfp+c8exDkh+HxCC8mg/ZnqoGpcsxHiGTeHR/+idVL0lx8MFPWvhE8Mdz+BvDpDe0c/A/ftoe90qwovqiCyqQ1JlnLJNZbRIobuX3P4RRp86OsUPQ7ge2/7hvmoUVGxlI40Xd+GYNuZIkaFHD3P0ZzswR4oYTRHiq5un9MEpmhy9cztu0SLU4WuNwu0JpEUynu1iZyuMPd/H6JNH/dT92el9SbRYgGXvuQgjGT6WZVeSqlMcXVpPZFFdNVmn8AQjjx+ZIuT4A4P9336CoUcPk1jbQsPFncSW1hNqiyEcD6diUx7IM7BzP2PP9fi1uE7AzlXo/sk2nKJJuCOBXhecNC4rU2bs2V5Gnz5K3737ZhzXfOGUbEaePMpTf3wnja/sIrG2mcjiemIrGv3IHsvBLpiMPN5N/317KZ+YFdkT9N2zh+zuQTreuI76C9qILW+AcZ+s9PYBeu7aSak/R6glSue1Mws5mZ0DgMDOlgkvrvMF6oaIn/LBdCj2ZMjtGya9Y4ChRw5NK+BMUB7Ks/srjzD61FEaX7mY6NJ6gs1RIosSOCUbu2iS3Zcjt2+EgQf3zb9/1SxYlRyKGkAPJs7aNWfinBZywM9JUy7DbJqTQmHmfa47sX/yMZYFKevUzV2ncy3H8TMrT4fj+Ll8isVT+VoW04ZZCiHwPBPPcxGeW/2ydV0b1zVRFA0jmKBUHPFfnKVRXLtCId/P2MgeSoVhjGAdqh7yc5t4c88CPd9IkoQcCuLli5NKOEi6hmwE5l6FHFCTcdxCEWfHHiRZxhlLn1JZiPlEOPa0c+p5xyR0Mf77TTrP8/BsC882T9g+9dhJ7dozOK4JD2+GxGuefWq5OuxshW2fuw/Pcqa8VA9892m/rtRxVcaFJ8gfHGXr3/0KO2dSmmZx92yXyliRsa19lEcKaJEAsq74LxvHwzP9F5+dq0z6qj8eM1Vi+IlucgdG0eIGSkD1C9qWbd+B9GgGz3Y4csdW9FiQ0kBukmDt1xfyMxqrYR0loPrFRCUJPD9E2ClaVEYLfm2iGZJTWtkKe7/2W79W0hwjbaartD2BW3HIHx7DTBXJ7h1Cjxm+460n/NBl08FKl32t0zQFeD3LqY5LC+vIJ47LdHFKE+MqnZVSD8L2KPZmcH/jkNra72eiHveVEq7nC5VFi/JADjs/VeB2ShaF7jQ9P93B8KOHfGdgyTd/WpkyhZ4MbtnGzlfY+ne/onA0Na0JrjxcwDV7KfZk0aI6sq6O526S/HunZGFnK76G5yTFjfEEbskmvWOA8lAeLWagBjUkzddSerZvkrSyFcpDOVzz7K1J2dGDRJNdJJvXUEj3UC6OLHjSv5k454WccxMJWdEwjASqFiIQiGGEkpjlLJIkoekRjGAdihIgFGnErGSr2oEpN6oA16lQyA8ghEck2oZp5vxzZBXhOXiejW262HYRWVZR9RChUCPhSBO6HjlO83CW8DzsgSH0zg6UUBg3X0A4DpKqoCTiqMk6nGnMWDOhNjVgD43gDI4sYKcXBuG52MUckqz42psXIa7pMPDA/mn3jT3TM3WjAHOsRP99s5tAhe1hjhZPW4UvXI/yQI7ywOwRYpkd0yeVFJ7ATJUwU3P3/5oOt2wz9PChM2rjRJyCiVMwT6vOkXDnZ1zzjVuxKfakKfbM/dmu4gmcokV279TinsdjmQ79989837llm3LZnletyotxrh27jCwpROKt1LeeRyk/iOva00ZYeZ5DLnVkwfpSE3LOQWRZRdejNLSsJ2DEkWUZx60w3L8VWVaJ1y0hnlyMpodobFnPyOB2JElGCLcq5AjhVf9tWXlGh3YQibcTTyymUBgglz1KKNJMJN5BJNqGpKj0Hv4Npum/UJtbL0TVDPRAHNPMnlUpXzgOhcefJvGm1/tfT6Mp3EIBJRJCb2vFyWQpPP7MnNtTG+r8hIDayLEP9dOogfVC4NkmpaFuSkO14qI1atSYH0LRZoyQ/6G8aNVVeK6FY1eOi7A9hlXJs/2xry9YXyQxk+v/i5hcLkc8fnajMl6+TOi3p60QNcP2U2hd8tP3e55zwkvfr1skTjfz4Twg6TpqYz1qYwNKJIxXLGL1DfhVyKdzwJqByKsuQWtpRA4EcPO+GaD42NPYZ6jZUQIhFr/+94l2rJx2v/Bcdn//c9iF7EuyQGeNGjVenixadRXhWOucjrWtIge23nHyA6chm80Si81eC7CmyTnnmU3AOHPhQwhvBl8C8YK/mIVlYQ+P4KTSvsDleb4vzRwLc05Q3rEH88BhJFmpjsnJnL0kdy9/JAwMbCxczmJm7Bo1apwWA0eeGC/IeXJqBTpr1FhIbMdP4ncGTbjZPF6+MKmA2QvlePxyREYiQpw8OQQmHqcnHEtIhIhQouAXbKxRo8aCYJtnL5LrZNSEnBo1zhTnzISkGrMjIRMiioODjIyDhYODwENFQ0ZGAC42HgIVFRkFEDjYeHhISKho1NGIi4uDjYt7ysUaa9So8dKiJuTUqFHjRY+ERAMtSMjYmIwwgEmZFjoxCOHhMUIfFcrU00KMOjw8huihRB4ZlSgJWuhCx6BAliJ5itTMijVqvJx52Qk5kcVrCLUtQQtFkTSNzM6nANDrGnDKRfKHdiI8l2BTB02bX0/3T78JwiPYvIjokjWokQSyqpE/vItS3yGcUp72178TK5sCSULWdMrDveT2byPY0oWeqMerlMgd2A6STGzZeqJL1tB37200bn4daiiKrGoIBCNP3o8WiRFsasdobEO4Llo4Tv7IHop9BzHH/FDTxLpNBJLNqEYYSVUZe+Y3mJmRs54w7aWOGowSSDQQbl1KMNmKFk6gGKFqEUzhOgjXwbVNnFIOK5/yyxlkR6mkh7ByZ6lg6IsVSab+FVcQXbKGykgfgw/f5Sf0m/F4icbNryO+4nzUyLHAgPzh3aR3PEGp9+CMp9ZvfBWxZecRqG+pbiv2HiS3byuFvdsRCNKMUKaIgkoHSymSRwKK5PFw6WQlR9mHhoaDTT/dmJQQCFxcCmQokaePQ1hYNZPVJCRkPUC4sROjvhU9mkQLx9HCMb+YrKqPF1qVEe54nTTXz6vklouYuRRWMYOVT2PlxvyaZS9QXpTjkVUdNRQl1LyYcFMnWqQOLRRBNSJIqo6kyOB5eK6Da5ax8mOYmVHM7AjlsX7KI328VH3AtFCMQKKRUMtif/2L1KEGgkhawH8nuQ7CGV//yjmsXAozM+yvf5nhM17/VC2EEUoSretAVQ1myozr2ib9R357RteatR8L1vILgBavR4vE8WyT1I6daJE4RnMHTrmAmR4mvmIDhe49qOEYaiSOmRkBBFo0gRZLgCyT3vE4ajiGHk8SXrSC7N7n0BMNFHoOYKVH/OrJlRLCdbCzo8iaRqRzObmDO9Dj9UiKgl3IEmzuRJJlSn0HsYs51GCYurUXYaYGkVQNhCC980n0eANaNEGwuRNzbBC9rhE1FMXKjJIf24EaihFZuhZxcAeVkT6QZepXbybUtAhFn1qd2i7lKfQfJHto2/xPsCShBEK0XXIdijY1TT2AVcjS/9hPzyhiSlI1AvEGWja+btJ2IUC4NgNP/AK7OEP+Dkkm2NBOrHMVgbom9EgCNRhB0YPHFmpZ9jPxCoEQHqrnoUcSGHXNuC1L/YXbLGHmUuR6dlMZG8AuZE57PC9ZJJA1DTlgIOsGJ800JwTFo/twy0XUcBQ1FKNu/WZkLYAkz16Is9R3CLdS8quuG2GSF1yGrAeqxUEBXBwcbCRkFBRUtHFnZH/7GIOYlEkzSpAw9TSRI0WJwrhpyk9y6eFNMVPFFp9HqGkRRqJh6rA8Qe7ITnK9e3Er858WXwkESa7eRLi5a8Zjen5zu185fp5RgxEi7csx6loIxP0iq4oeHP8Q0PzCrbICkuznsxpPCz+RSXtCQDDq2/wq9o5fmNWtFKhkRsdfmiNU0sOIs5WHSZIIxOqJdqzCSDajR5Oowaj/gaP645oQ2JioLyc8vGAELRwnWN+Ga42vAZkRCv0HKY/2YeXGzkqqC0nVMOqaab7wtZO2T6x//Y/9bOb6d7JMqKGd6KI1GIkmv+5cMIyih46Ne7r1Lzq+/rUuwbNNHLOMlUuR695Feawfp3RqGs9QtIVEw3LqW9ag6mF/5ZBkJEmaqNGM5zrYVoFifvo8UvPFy0vIiSbQInFfiMDP4qqGIrjlAnY+jRatQ1Z1v2JyOEZ56CgIqsUH1WAYP8+3hxIIVhdmSdGwc2kqo/141rEslE4pj1qOoQQjSIqKXtcAElTGBtDrGvGsCpWxIaz0MGo4SnL9Jdj5NMJ1cMpFyoNHccsl9FgSLRIHSUKP1aGFY36UjvAjkLRIHHlcqJAkmWBjB/HF61CDkSlzYGZGcMpFsmxn/r9AJGRVI77kPNRAaNojKqlB+h87w6vICmowSmLZBZO2i/GCk8Nbf41dzDFpfOMCmJFoIrZ4LbHO1ejRJEpglqrAkoSEDAqg6WCEJ10rWC5g5VN+4cszG9JLEyEwx4aRtf3YudScBNfK6AB2IYsSCKInGqhbv3lOlzLHhnEKOcqBIFo4RnLDJVOO0fHLf8iomFQwKaOioaEjEJTxBRCBGHcyjlKhRJkSjAs5NjYhopiUqwISgFHXRLR9OeGWxVOnwXOx8ikKg4dO0+V5diRFI9S8mMSyDdPuF0LQ9+hP5lXIkXWDQKyeUNMioh0rMZIt6OPr4xw6PElo9f8vOqm/wnMwsqO+ZjQzQjk1gJkeppIeQixU1WlJRjVCBOK+9jbauQoj0YQais6ecFSSABlFUVG0QHUsQgiM+jbUYBgtkqA80ks5NbAggu7kYShoodiM69/Qs/fhlIucuP6pRphAoolY1xpii9aiR32BdeYLzbb+eTjlImZuBCufOmUhJ5roIF6/hFC0mUK2H9epEI63o2khcqkjyKqOEazDccpY5twKFp8uLyshRw1G0GJJ9Fgd6vgPZpfz2IUsbqWC8FyUYBijoRXFCJM7uAMQKEYYLVqH0dBK8jx/cXXMInbaz3PiCyWFSQKOv93Fsyq4ZhnFCGE0tGLnM5SHeogtW49TLiAca7zydAklGBqv02NiTxT7sy2/LJCiABJqKIaeqEdPNGDU+fVurGIGt2aqQpIkFE1HUQNIioI4rnq5ohuEmhbRsPYSYovX+V8MZ3Qt0EKRGVWs5wRCkNu/ldz+rXM+xbNMPMvEkXN+fbC5nmebfomIYh63XJwiT3l4RIgjU4eDQ4ZRCuRooRMdAxkFBwcdgwgxQkQQeJNMUgKPEjnqaaZAjgJZSrx4okDOFrIWwEi2kFx1MclVFyPJyhk/L8cjSRKSohFMthJMto6/nC0y+59j8Ol7ZtbCntlFUY0w4eYukqs3zdMaIKEFIySWXUCkfSWV1ADDzz1Aof8gnjM1qd1CM7H++RrpE9e/IKGWxdSv3kysa+38jD0UQZprnZATiNUvJhCqI5fu5uD2O7HMPEvXXUck3sbe524jEKqjY9mrcOwS2dH5zdZ9Ii8rIcfKjWGmBjFTg4w+/eCkfbKmk9u/jWjXKgLJZpxSAafgP2x2IY2ZHkIIl6GH75p0nnSSWH+7mPfbXboW1YhgpUdxinmszAjBpnYqowNIqoYejWPnsgjXHVfZTfeACMzMCJXRQd/vZ9/zZzIdL1uUUARZC+COP+RKIETzRa8j3rUOPVY/r9cqDR7BzJ39Yps1juHi0Msxfx4JqSq8dLNvfItUNUH5goufyPJ4IcfFpZ9uZGQ8ptaAOxeQdYOmDa8msXQ9gbqWk58wT0yUDVmo3LNGXQvNG68i2r4C5TiNxHyhBIKEW5eyuLmLwSd+QebQNqz8C7MuqKEociE9af1r3XwN0XHt9XwKrIWBw1j5Uy+DoRtxbLPAYPdTWBVfC+RnyRfIikYpN8Bo3/PEG5bRufzV7H76u/PW5xN5WQk55tggeixJsLmTliveDEBltJ/KcB+VsUEKR/fR8YZ3Y6VHKA8dq3ljpUdRjDB6LFk9z8qMUBkZoDw8e6l4z6pQGR2gbt3FlId6fLutY1PsOUiodRGJNRsBCVlWGHv+ISRV801T0yEElZF+gk0dBJs6CLUsAqA00E15sBs7nznjOXo5oBlhFC2AWykiKRrtl72VcOsStHB83h5w4Qkq6SHsch7hnJPGqhctUx2GxQkam9kFGO9cDRuXJNpe+SYi7cvRI3Xz+jKc/bISnuuSObh13oMnJEUlkGii84obCCQaUfTggoxLkiSEEEiyQuMFr0YJRsh176I4sLBaiOlQjQiyquNSRlY12rf8DpHWJeNmufla/zwq6WHfGnE65kUxUcD5uIK0ro3wHLRAGNvMY1b8TO3ByFQ/uPnkZSXkCMehMtKPa1ZQAr793i5kcSolEAKnXCC79znsQg4rfazQmnAdrMwoBUlCMXxfE6dUwCnlEZ5HavvjOKUZ1NpCIFwHxQhjZcewC1lA4NkVCkf3I+tG1X5dGR1E1gM4xfy4ecpX0xd7D4I8XgDTsSkNHEHNjlX9cKxsaoqp7FxGDgSRVQ0lECTWtc4XcEKxKRk2PdfBsy3sUha3UsJzHYTnIDwPWVZ8J0TdQAkE0YJRJFWrLhJCeJRH+8YrZr80vvglTaf+gi2YY0NURvuxc/4XmJ5oILxoBbIWwM6lyO33ndIlVUOPJYmt3EDuwHas7BiKFiDQ0EK4fWm1Xc+xsXNpsvuef0nU46oxFUnRCDV1Emldih72I0inIHzx0MqnsIv+M+NaZVyrgvAmMk1LyIqKpKgouuH/BYKooRhaMDLupDz5RevZFnYhhZkdwTvOxDIfY9JjSerXXoKRbEXWtGl9b8S4b6OZHfXHZZbwrAqeY1cFF1lRx/2UkmiROpRAcMp6MrE2aKEYsc5VIAR2KY+VPbuFedWJ9c8IEe9aS7h1sa/dmXb9M7FLuWPrn+sgxPj6p/nrn6qHUIORyeuf51Ie7TttZ3HHrqAoOlrgmN+o65h4nkso0kwpN+SbSRUVSZo9KOFMeVkJOQBWZhQrMzr9Ts8jveOJaXc5hWzVfHUimZ3TnyOpGrIWQA2F/Zspm8YtHXOiKvYcmHKOWylOcmL1bJNS/+FJx1SG+6bvfw3Atz8rRhhJUUmuvhg9kqgKkkIIPzqgUsI1izilPJX0IFY+4/t9ODaea6OoOvK4cKOF4wTiDajhGIoWqDpflkd6F85JcgGQVV/IKR7d779YcmlAwmhsI3n+JaihKOXBo1UhR9EDGE3tNL3ydVRGB3CKOeRAEKOhjfjqVyDJMooRQniCUu9Bcvu3IUStRtZLEUUPEF+8Dj2WnNa5WHiuf88UsxSHjlBJDWIV0jjFnK/NdJ3xL3PJf0a0AFoo6vtBhuME6pox4o1+JN74uqhoftiwa5Upj/bPHBF0mmjhGOGWxSRXbkTW9Gm1GJ5t4Vpl7GKWQv/B8XFlcMoF38/R85BU3+FYDUYJNXUSbOwgEKtHC8f9dcYPDZrUbrChDeF5mPkUqfzY7KkV5hk54K9/SiBE3aqL0MMJP2KK49e/Im6lhF3KYaaHsAoT65+F5zkoio4cCKGFxte/WP2k9U8Ij/JIL94p+NUdj1XJEwgmMIJ11W22VcR1TGLJxRSzfYSizWh6CNdZWH/Tl52QczYxGtoIty8h1LmczI4ncUoL6yVew0cN+g6Gim4QbV8BULX1C8+lMHCYsV2/pTzSewpOjhLB+jbCrUsItyzBaGijMHho3MHwJYLnUhkbRI3GUYzxqArJv0+RZCRVR0+2MOGvooSiaNG68SiqwarTcGb3MxT7D6MGgiQ3XEroOK1OjZcg45GHyVUXIylTNThiXCNRHOpm4PGfY+XHZtXYTehiToz1krUAgVg9wYZ2Ih0riXWuRtYDWMUsmSM75m88+D4+sa61NJx3GYpuTBnPBOWxfnLduxjd9dicoqLyvXuRVQ2jvo265RfSsP4yhJCRECdoqCSM+laaL3wt+e5d2KX8WcsLpAYjRFoWoxqRqeuf6/jr345HKI32nUJUlESwoY1I2zLCLUsIJBrJDxw87Y+8QrYXWVEJxZqr20r5IYLhBtqXXU4k1ooRTuI6FbJjR07rGnOlJuScAeWho1RG+hjb9lvf0/0sSvPnMuHmxUTaVqAdF0IvXJviYDej2x8m37vPr3p+Sr+HoJzqp5IeJLXnSSRZwbUrLynzjPA8KsN9xFduGE+HACARbFmEOdyHWy5iNLQQSDZhZUbRwjG0WB1OpYidz1SjNdxyYfyFIBFZsoZQ+0tnDmpMRY/UEW5ZPKNDrl3MMrb7CUZ3PIJbKXG65lnPNimnBqikh0gffN6PeGzoQAgx774rdasuIr54HYH4DP4cwmPwmXvJH91Deax/UiTSyfAcm9LwUcz0EJX0MC0XvQ4tNLXS9USod+vma+l//K6ZXRrmmXDLEpTO1dUI4ok+F/sPMrrztxT69vtmwVMSugTlsX4qqUHGdj2OJMu4tnna619qaA/p4X2TBM58prdqxoo3LKOYHyQzcoDR/gXI6XYcNSHnTBj3x1mQ5Bk1ZsSPIJCRFLWqnk3tfZp8zx5KQ914p5t0TAiEcF/w6uinixAeZmrY95cwQsi6gfAcAnWNZAaP4loV9HiSQH0zVi6NEgqjBkNY6dGpi1nVabAm4LzUUQLBWR2NiwOHKI/04pqnL+BUGX+G8Fwc16E4fBRgXjWiSiBEvGsdRrJ1eh8czyW97xlyR3ZhZkdOScA51ojAtUxyR3cRauwg0r6MQLxx0iGSJIGiEOlYQSDe6JvCz0Kqj0CsHkmWkeRj69/Y7ifI9+6lNNzzolj/XMcaVxgfdz8JD7OcZqD7cUYHd+K5FrZZwFrgYp41IafGS45j6mmBEFAcPEK+Zw/FwSPjC/U5iudhZUf98iOBIGo4iufYKMEQTjGHWynilIroiUYkZR9KIIQSCGFlZzdP1HhpI6v6cZq9qZiZYexiZv7vASHmP3HeeEZzo6552jF5roNTzJE9vN13dLbPJGBDYBcy5Hr2oIYi/sfVCZm7JUlCD8cJNrTjlPOYZ0HImbz+CYqDh8kf3U1puAfXmv+s2KeHmFZe9lybUn4I8kNnrSezpIGsUePFzUSa87Gdj1IaOnpuCziMa3IyI+PRfiH0RAOBRCOSLPsOiJlR7FyKQH0LkqL66d6NIGZqpFbH6WWMrGqzZr51ykXcl0j0pqyoJJaej2KEptXiuGaZ0kgvue7dZyjgHCPXvYvSyEwChARIRNqWE4gtbCj0iUxkQB7d/iilkV48q4IiqaiShippyPgJZiVkZFROWpblBUCSFRTVOPmBZ0BNk1PjJYtrlske3kGud18tlw34X87FAk4xj6zpBJLNSEhY2THcUgHXMqmkhoivvMAXcEJ+kcLKSF9Nk/NyRpJmzdwtjdc0evHjF0hOrLjQj9yaBjMzzNiuR5lPM6twHcqj/RR6D5BYfsG0x0Q7VlIcPAQ9e87as+RWSmQP7yTfuw/hOSTUZtqCqwgpvv/QoHmQtDVISI0RUxvor+yn7J5aeYaFRJJkGts20NK1mW2PfmXBrlPT5MyAEjFQ49PXZzopkoQaC9Jxy2sIr26f347VqOKaJVJ7nzyl8gHnAmZ6BIQgEK9HTzZSGRnwCw6WS1ipIfREEqOxHTUUQTgW5thgTch5GeM51qx1r8LNXQTi85spfCFQgxEirUuroekn4lSKmJkRioNH5v3aZmaE4tDM7cqahh5NYiSa5v3aM+GUC6T2PYUQLhE1SVitQwiPHblfc6j0HKoUoC24cvzouWtxjGQLDedvIdq1ploHciFQFB1ND6MbU52655OakDMNsqER7GokuOQ0b1gJJEVGq4+gGAt3k5zLuGYZK5+ikh5akNBNRZVYuSnOa363lVWb4wSjC5uwaj6ZKKapRuPosSRmetjPkWFVsLIpJEnGaGxF0Q3cSnm82F+NlyuuWcEqZmbcH2xoJ9S0aIpj7YsNJRAk2NDuF5acRsixChnMfGpB0j445cJ4eZfpnfElSfZzBkXrpuxbCByzhFld/wRBOYoqaRTdDBWvQN4ZQ5IkwoqfXd9QIjTonbQaK2kzVhFUYjPWpdKiCaKdq9BCsdkLm54hkqIiKxqyXEsGuCBImoKWCIMiI0ngmTZu0QIhMNqTRNa0IWkqZn8at2TilkwkWUYOqMgBDTtdBMkXiLRYCHMwg1YXRtL9UvZKSK8maJJUBSUSQLgebtEETyCpCoGWOJX+NHi1r+hTxakUMDMjC1YRWJKhocNg4xsaCDyUYri7TDn/0tAYWbk0WrweLZJA1gOYO0bwbAvPsXCKOTzbwmhsQ1J17FxqsqlPkpGU8YKN4xFsICEpCnLAQIxnia1GFk5CQlLV8QKNKrIe8LcqE9lVA/55njeufRPHzlMUkGRkRfGPk3x7vaRqk8/z3JrW6RRxzRJWLuXPnSRPERAC8XrCLYuxi1k/u3U596JMh6EEghjJ1hn3W/nUgtWTcu0KTjmP5zpIsjqt9U81wuiRxIJc/0ScUgEre2z9C8i+j1LBGQPA9ipIAlRJH98fJKzWAQJV0vCEg+WVcMXUyDPVCGPUt5E9vHNOfQlFmpDkUxcldCNCIDhDiaN55JwVcvSmOM1vuQglYiBrCsWDQ+SePYywHZretBGjsx4kCb0xRu6ZQ+S2daOEAoSWtRBc3MjQHU8iqTLhFS00XnMhBz9/J/WvOx+jox5JkXCLJrLuT6+WDJO4ZCVuoUL2qYM4hQpafYSuP7yWA5/9EW6hVmH8VLGLOf8rZoFwLMFv7xiifWWIQvqEhUA6TvkrnaBImthx3HtYko8dU10cTzxvHrEyo0Q6V6AnGpAUBXNkwC8LIgSebWGmhgk2tmPlUtjZ414K4xmOtXAcORBA0Q20SNx3DgxGCLUtxjUrCNvCtSpY6ePS2UsSsqKh1zX42W51Ay2RBPzkjUZDq59G3zLHX7rpqnAlqypaoh5FM5B1HTXsf2UqRohAsolQ2xI8q4JrlnEKuVlNLzWmYpdyVMb6cczypNwqx5CIti0nmGzDSDQxvPXX4zWL5q8Ew3ygBEIEG2c2/1vZUazc2MJc3PP8TMKlPFpkem2NaoRn3Dff2MUMleOeP1lWkZBwxbEPluM/BVzh0FfeTdnNE1YTLA5tIGX3TyvkIMkgS9jFLGIOi9Sqjb9LIJg45TFIkl/T0bYWVpN8zgo5asQgvLKNg//wPzjZMsJ2Ea7/g4788nki53UiXI+Rnz+L8AS4HkooMH1jskR4ZStKUCf37CGyTx8itKKVxqs3AGCnCqQf2UvH+15DYXcfckDDWNRA9skDCPuloR14sWEXs5TTgy/Itbdc38yitWECIRVVh/u+PcDg4TKqLrH5jY3kUjb7nsySHbWI1mn8r39ZxTf/fB8tS0Os3hwn3hQgYEg88bMRjuwokBk+zbwWM1AZHcS1TWRVxSnmJwkUwvMoD/UQSDbhlIuTFkotHCex5hU0bn5ddduEhiXY3EHnte/x2xAedj7Dge/8Y/U4WQsQbO5k0XU3HXNiHTcrBJs7MRrbq1KdU8rT84v/ojzQjaQoGM2ddLzh3aihSPU8ZBmjvgUj2URy/Sv988oFhh75Bdk9z87rfL3sEQK7XGBs529p2vBqJG1qWQcAxQhRv+5SEssuoNB/gHzvfvJH92CX5po1fOGQVA01GEYLJ2Y8xi7lTiHD76kjPA/XLPt9mEaVo+hBtFB0wa5/PFYhQ+W49c/1bGRZrmpuYLyL490sOhlc4SDwcIWDMsur360UMdPDBOL1FPsPndSFW1UDmOUUpfwwrjP3iDZFDRCKNE6qb7UQnLNCjjWaZ/TebTS87nzckkX50BD5Xb0I08FzPIQ7/ncyIWR8Idfro7hFEydfwStb2MPZqsrXN1NVELaLrKso9RGC7Ulyzx7Bc2pCzung2ua818KZC4vXRzDCCv0HShzeViDWoLHu8gSaIXNke56Dz+e49G3N9O8v4jqC9lVh+vaXqGsJkGjWMSseD3y3n7pmndblQdSAzNN3z1Br7TTx7Aqp5x8hf2gnwnEmpWb3bIvU1t+SP7jTr21TPPZScMoFsvu2URkZmLFtSfKrfHv2ZL8Hz7GojPbTc/d/z2jrrx7rOVgpv0CucD3MsUH67v3hlAKDJyI8h8rY2cuv8XLCsyqk9z9HbDxLsKKd8MEmjf9qsoIaDBNpX46RbCGx7HyKg0coDh4Zz6eT44VIEKkaYVQjPGuVbbdSxllILZ8Qsyba82sZLmw49ASeVcE5zlRf9vIokkpMbWTU6iGo+IKD6frzIcb/mwuV9DCZA8+TWHo+hf5DWNnR8ULFMyBBLtXNaP+2U9LKaHqEhtbzqG9dN+dzTodzVshxC2XyW7uJbVyClgijtyQwMiXKh4d9m78EknzCAyUEwhPIquL744z75/i7xGQH9uP/X4CwXSo9Y6jxEHpDFCUcwBxIgfvis32/FBCOffYrs0vQtCiI5wnG+kyO7iwQTmhsuraRoSNlHNNj+GiFWKOOEfF9UzpWhjj0fI5wXCXZEiBWrxEIySi6TKROo5idH5OALEPIkLjwfIOnnqtQGRv0o6ZORPhCxXT7hGNjZUawMjNXVV65TMM0Bd29J/Tb83DLRQqHd59izwVupUTx6L5TPK/GqeBX4R4h172L2KI1BBJNKNNodHxfLL9cgRqMEqhrRg3G0CIJzMwIVm4Mq5DGyo3h2eZ4dfKFRwkEZ831AxBq6gRJWrCM5VooihIIzRio5FczPzuBJp5jT8oDVHZzBKQgYS1Bvd6BIYdxhUvOOfUK6cJ18CwTJRghvnQ9VnYUp1yc0XzpCZdKcYxCbgDXnruQqeoFonWLTrl/p8o5K+QIx8NOFxi9dzvxi5ehJUKEljVTPjyMsB2/bEDAdyD2LBfhugjHQ1gOckhHCQXQ6sJoibBf4C5VILSsGTUWRIkYaA0xkKWq7Cw8QW5rN8Eljej1UYTj4Zbm10xxLiE89/TTl58BkYSKXfEoF1w/23LWJhCS0QIyngelnINtegQjCrF6jc7VYZ7+11GWboiSbAnQsjSIqvsO6fmUTW50fiJBArpEe6vGR29J8IlPjdA/5CAEKIqvffG8qhWICSXMxL9VRcJ2xKRjABQZXPeYHK5psGVzkLGUO0XIkWVQVQkhBI5zzDdYU0GWJVxP4I77DE+0L8v+n+v6fzUWGOExuuOR8ZIoCoFYA5KizqgdkSQJSVIINbYTamzHtS3sUo58z16yh7Zh5UZxKmWE5yy4/47vrzWDu8A4DeddtqB9OBmS7M/r2UB4zqQosrKbR5cMYlojncG1AAybR8jYwwSVyLivjq/LEcLDEdaMCjk1GMaob8U1yzRsuBzPrGCX8jMmWzXTWcxKFs89tfXY82xc1/JLQCwg56SQIxsaoeUttNzwSryyhRzQKOzuJfPkAQAqA2nikiC6rpPQkibGfr2Tws5e7EwRekZpestGOt/3WpzCuCrQ8Sju7Sd6fhexjUuJX7QUayTv3/ATq70QlPYPUHfZKoTjkt999IUa/ssCz3XwTsH+Oy8IGO6p0LY8RKJRQ5Ih2RqgkHaoFPy3tBCw7YExmrqCJNsCKLpMetBiuK5CorlEesjkrv/smfeudbSpXPWqEE2NMqtWaJi2oFDwWNypEY9JDI96hEMSzU0KDz1WwbYF8ZhMa5PCquU6Tz5bYTTlEg7JtLeq1TYPHLY5fNTG8+CKVwY5dMSmb2DyC80wJJrqFS5cHyCb99i+2yKdcdFUeMX5AVqbNY722nT3OIykXFqbFGQZGutVWptV9h+yOHTUxnlx+bm+LHFKeQafvofskR00nHcZdSs2zvlcWdUIxOoJrLuUhnWXYmZHKA33kDu8k+yR7Qta803RjRkTAL5okORqRO1C47nOlIzOWWeEbGGq5qbkZhizeqv/LroZtuXun7FtLZok2rUGADufAfxwb3WaIqUAex74vzjFU/eF8hyb3NhhvNOsdD5XzkkhxzNtivsG6P63uxFCIEkSnuXglcclSsdj9J5tpH69CzyBW7bwTP/z1E4V6P63u8HzTVcwbtbyBCM/fxZJG5fkXQ9JVXCOj5ySJeSAhjmWp7h3Zr+HGnNAiAULvVc1iUhS47LfaWLZhVGaFxs0LTI4tL3A3sczNLQHWL4xzvKNcQJBhWd+NUrv3nFbtIDdj2V56x91EalT2fGbNAADB0skmnRWXBTjxr9eCkDfviJHdxXp3nHmvkUtjQrnr9H5wn+kOX9tgFzeY2TU5X2/G+OZbRVuflcISYKdey3CQZkdeywuu9hg6WKN3z5d4dN/Ws/Xv5tlUbvKze+Kc+cvC5TLHqp6TE7P5T3e+ZYo+w/b7D/sO6MaAYl3vTXKhnUBfvNYmbYWlb0HLGQJgobMsiU62ZzHW6+NIAR8+h/H2LwxyKUXG6TSHjv3mnz2z+r58/8zSv+QUxN0zgJ+Bt8+Bh67i9yRXSRXX0ywvg0tPHs474kaHz2aRAvFiLYvp2H9FrKHt1McOOhX/Z5nM5afU+WcfF1Nz3gah4Wg0LOX8vDcP8Sc0umuX4JSYYhKaYEi4sY55+4aRfWDPDzbwU7N/OO4hQrudLtdD3ts+vNmCgWXQzpGe5Lw8lacbJFKfxqvUjNVvVjxPEGl6HLw2TypAQvb9ChlHdLDFpWiy4Fn8wwfraDqMrICvXuKFDLHvkaKWYfn7h1D02UGDvkqXscS9O0vUSm6BKMqkqKQHTbJzoO5KhCQSNYpdHaoGIbMhrUBDhyySWc86usUdu+z2HyhgUCir9+htVlFAMuXaixq18jkPJZ2aSxqV2lqUNE1iWe3mZimYHjEra6nR3sdFEUiaBx72XW0q+i6xPCoy47dJroukct7eAI8IVAViZYmha4OFcsWvu9QUCKT9ejutTl4xKZi+lqlVEai4NRy4JwNhOtgl3IUBg7hORZGsgUj2Uq4uWu8EOXJNRKyooKiImsBZC2ApCgE61spjw1Q6D9Aeax//l7EkgwLnDSuho9nW7M7Gs+BQLAOIVysyuwaHuG5uAuoAYSXoZATSSgoqkR2dPpPwvpWHbPkUS56WBX/ayPeqOJYgmJ29skez4+GrEg41twfXln1Ew8aixrIbz+K2Z96IQIUaswRz4VKwWXPE9OHzvbuLcLe2c4X7HgoPWV7qt8k1e+rmLW6BryKi2ed+QOeTCjEYwoIiEZkGhsU4nEZw5CQJNh70KJ/yL9OT79NV6dKZ5uKEZCoVDw0BQ4ftX2/GAmyOZfntk81BQ6NupQr3qQ8cY31CqYl6O612X/4mMAWNCQScQVJAnfcR+f4EkrdvTYHDtv09DkMDDkYhoSmSdQejLOLU8qNF6DsJZhsxbMqhJq7UI0wih7wo4VmyDA8gSRJKLpBuLmLYLKFUHMXsqYjPBerkPHNKmco7PgO0WfURI0zYeLhnaOGLlrXiSQplAvDWGYBxy7hec6CaZ9m4+Ul5EiwdnOMaELl/tum2iYlCS59Yz0Dhysc2V1i6KgJEmx+fZKxQYtn7s9MaguYtOZquoQRVgiGFUYHTObqa+fkymSfOkj2qYOnPbQaLyMkmfj5F1Hu68YaGcTOThWIToXz1+qEwxK/+nWJfQcsDhyy0BSJzjb/8fY8Xzt1/DuiXBbs3GszMuZyz4NFJHwH46tfE8LeNH0Uiyz7pllp3GHY88CsCFQFNFVCGf/4dz3obFe59OIg0YjMd27LEQlLLFmkVV+WjgOOe+zhOi6lR40XAKeUI1/Kke/di1HXTLRzNZG2ZUTaliJrxrHc1LMIO+DnSzLqmmm5+A1EWpYwsv1hX1t0xhXBZzbPiOP8Hl9QIdlz55Q87yXFuJ+RNK6xcyvHRVlJ0oy/ScuiTUTrFmGbeUYHdjLav5VKKY3jlM+6oPOyEnJWvyJMMeswfHTyAxWOKSRbdOpbdfTgsYdUkmHt5ih9B8uMDRxTz9W36jS260gSHN1bpphzCYZllqwLs2pjBEmG7t0lDu8qkRo8d6pfT2SofCkj6TpaNEGguRU7k8HOpnDLRZRw1M93lEgiPA8rPYpb9M2SSjiCEgoDElosgTnU74dYhsIEmlsxB/txSgWEbQMSRmsHSjiCZ5tYY6O4BV9lq4TCqNEYajThl06YpzFddIFBsWDz7R/kyI6bitau1Ll888wht/c8WOQNrw3zjjdHuPLyIEFD4qvfyaIqU3ula9DSpPKet0fZssmgUPRQFfivH+fZscdkzUqdV18a5Py1AWQJvv7dHNm8y+iYy9uvi9DeorK4U2Us/TJ7AcwTsqycVHg4m1TSw1SyI4ztegxZN4gvPo9Y11qC9a3op1CbKdKxkkCiidzR3Qw+dQ9O5fR9zzzXmdWx2SnlGHjiFxQGXsAPSSHwXmRZok8XSVYIty2jYcPlGPUtaMEIwvM4cvd3KA/3oMfqiHSupDzST3Hg0JTouiN77iFat4h4/VJaujbTtuRSKqUxCtk+UkN7SA3tGXc4XniB52Ul5FimYO0FIRBwZLfvCxFLqizbEGbFhjD7ni2waFXomGAiwCp7vOK1CXr2lhnuNWloC/DKa+rIjNg4tuC8S2P89OuDaIZMICRjhGUqRQ/HEQuWlv9FjaqeNNnbixVJUTEaW4msXk/pyAGUYAi3XEA4NsHWDoyWDqzUCJKiEFmxlpGH7gHXJbR4OeGu5ZR6DiM8FzkYQks2EFq0lHJ/D7ENF1Pu7aZ89BBCeH45A+GhxeuIrjyP4Xt/ihKJEupa5lcFH+jFaGnHHJ4f5/Pv/08ex3LIFXxT0q59Fj19DqGQhK5L2Db86GcFJAnSGY+hEZfRlK/BeXprxTcpub4JaWDI5WjfZMHddmB41OUHPylw72/KuK4glXFJZzxsBx54uMTWnSaq4h97tM/BdgTFUoWRMZdc3iWgS5gW2Lbg/odLCAGlsqBU8vjW93MMj7qUyufiAwWSqk6bQfeFw3fq9zwLz3XIHtlBaagbLRInEG8g3LacaPtyZFWf0XdHGjdvqOEYkfblNDkW/Y///LRrmXiOPWvhTVnVca0KduGFzc4sXgBzzHyjGGGCDe20XvJGJFnGzqdxijlCTYuqZkNJ0dBCcQIrmiiP9uKeIOSUC8NYlRy5sUMMH32KaLKLYKSRYLiBRSteS1PHKyhkeink+ilmBzDLZ6bNno2XlZCTHXPQgzLB8DFtQ32rTiyp4rowOu5EOhEVJYDMiE00oRJJKKiaTOcK/+s3l3IQniASV0k2axRzLlbFwyx55NMO6SEb81xblCUJWZ0+JfxLBUnT0eJ1KKEwTj7rF4qUZZRgCElVcctF5ICBEo6ghiI4xTxqMIwajeMUcniWhWIE0eubCDS24ORzGM3tuKUi1sggTqmApGpIsoQWr8NoaQcktHgSxQiB6+LkMv5152lBPHTEnvSVm8t75PKT783j89pkx/f1Dbr0D/mh3va4uTyPLwAdjxBQMQUHj/iOwicyMOwyOOKiKEyKjqpUXNIZF9ebPNSBocntH+/LM3ckQmqMilvAEy/tJDuSoi1oteczQng44+USzNwIlfQwdrmAU8wSiDeiR+vQonV+MdVpBDVZUdEiCaIdKzGST2NmRk4rp87JnGEldSIpq/eC+H28nNAicSIdy1GMILlDO7DyKdT/n73/DtIsS8/7wN85137epHflXVdVezcWMwAGMwMQAAFwCA4JMrSgRK0okRSDpKRQbJBcRihCu2QoYukEarVkADQgCZHwGAwG4zHTPT3tu6uqy5v0Pj9//Tn7x/0qs7IysyqzKqu7qjufiDb5XXOuOfec57zmeTN5sv1rwn06iVFJRK7v0KbFOZM4IIkDQr9Op5nG5WQL/WRyvWTyfVhOgUJlDCdbIVcYpNOcw2svEviNHQkKbgcfKpKzNBPSaSQ4mTWS0zuSTsqX324zecln+qpP52Y1aQ0LUyG+l66ATUuw/0SGC2+0mLzsYVqSoUM+/fscLr3VprkSU1uIqC1GTF/zdxR8/GGAEBLDyjxkq87tQydxKv3eamJVeghXltZqOmlNMD9DMD+Lkcli9/RjFkokXhuVxMStBp1rlwDIHTmJVSwjpMSq9gAaaVoY2TxJ4Kd/2y7ScdOMECGwKz2oKCRcmidYmCVYnHv/FZs3gdYQ7oLHVWs2Tf9+MFVLBIYw6XH3M+9dIUgebIG/Bw3DctfqfT3EUFFIGC0SNhZpXDtDfuQI+ZGjlPafxMqXwLA2JTqG5eCU+ykdOM3SuZfvqRyLCn1UuPnkt1r13rQQ0njoCos+arCLPRTGjtGevsrc698k8Vtkhw7S/8yPr+6TRD5Rq7atTDytE1r1SVr1SaRh42Qq9A6fptp/gnx5DMOw8FoLLM6epb50lU5znjjssFuurIf/y7pPxKEGDbaTfnyWI5CbxB1AOtF57SSV3TcFhinIZA0CT6ETnUqzwPoq1B8lSImdLz6yJAcgmJ1kfm4Ku3eAvs98gebFs7QunUsHZ9tZleEVlpUSIK1BqXUDp04iotoSwcIMzXNvr/5uZLIUTz6JsGxal85hLc5h5gtpUkKSYEhjdcUpTCsNCtvDjmEKi6I9wIH8MzTCuUee5Fi5AtJ8f8oB7BZUHNK4cY7GxAXm3/oWwx//aYr7T2I62U33F4ZJ7+lPUr92hthrs9MJLPIaRJ3mHfcxMwXMTIGo9eBcHx8FGLaLlS8z/9rXtxRc1XFMEvpI2932fGCYLm6uSs/ASfpGnsTJVIgjj0ZjFtCMHflRhvZ/jPryVa6f+0MCr7Yr9/OhIDlCQqnH4vnPlzn9iSLZvMFP/d/6+f7vL3P9XIfHXsjz4hcrDB/KMHzQZe5GgGkJqoMWH/vJCkeeyNI/aiOAN75d5wu/1M+JZ/MksSZTMLl+tkPgdd1UsyE//uf62Hc8y+vfqDFx8QEWhNsKd/JrC/HAVDeFNLALPQ9VkOROIDNZnP4hcgePoZOExPdR/tr7y+47hF3pAQTScQmX5lO30m3wpyZACIonn8LuG0QaJu2rF/Fnp4jqNcrPfByrUEba9iqp8cevkj/xOMVTT+EOjmBVehCT19+nO/9wwZQOFWdodxcad8nMEdLgQS1trHxlY8HMRwUqIfaaTL/0u4StGsV9J8j2jm66q+nmcSv9xH6L+C6E5XYkgUfstYj9DoaT2XQMsks9OMWePZJzn9BaoZIIabsIITb9KqRlY2ZyJH7rju5BIQzy5VF6hk5RKI/hZiuAoL50hYlL36LTnCfw0ziqbL6PvpGnyJWG2Xf8J7j89n/elWy1DwXJ0ZpUvO2dNrX5CNMSLE6F+B2FSjTXznRSbZyWYuqKx9x4KsKWJJpLb6bHhIFmeTZkZT7i9W/WkIZAK43SpJYcndYlmrzs8/3fX6a5HNNY/gAyq7RGxfHWAW5CPrBVoZQGdrHnkbVA6Cgirq/QuXEFtMKbFEQra2qb4eIcweI8KvDTYqxdguNNjRPVllf3U1FAuDBH8713QKd9I6oto6OQcHGOxpk3UKG/GsOklSLxO3gT14gbNVQYECzMEi7MkXib14N5fyE4UnyRRjRHK1qmE6eDzmjuNBmjQKg8xlvvoFFY0qVkD1Cxh7neeoNExWTMEjmrTM4sY8kMAoHSCaHyWAmnaYaLaNRqW8PZE4AmVB6h8uhxxrBkBq0TIhXQipdZ8sdvOSZFf+YgWaNMxixRdgaxDJcDhWfWWXJWginq4Tx+srNJNM3e2XpAlebWNZ7uF3ahinxUSQ6A1mkF+2vvYtgudqEH01mf2XczENkuVDGX53ZMctCaJPAI6otpIc5NYOcrWPnyPd7EHm4iCTyi5gqF/Sdoz90gaq4njcKwsItVsgP78RanN3UP5opDZPP9ZAr95AqDWHaOJAmoLVym3Zih3ZzFby8Rhe3Vsg6tJMJ2i0hpUiiPsVuLig8FyUGD31FcfbfD1Xc3Thoz1wNmrgcYxsZCgJfeanPprfXm7rM/aHbFNQXqFi2PMNAszYTU5tMAuPepAO8GqDjckj0LKR/YgClME6fU+8hacnQcEdWWieo1hJSrH6d0s2itCBbn8KcniJv1dc83XJwjXJy75USauFknbtYRhpkG/Xb3j5t1WpfObpBd10nSjfmZWROZeUggEAxlj2H6NomOuyQn/S1v9dCJa8x0LhKqDrbMUnFGGMme4Eb7bYRQ5K0qPe4YObOMKZzVINpEx1iGS5C0CRMPjUIg6MvsR2ISqDZ+3KLqjqySo1hF5OO0TT9uolj7YLNmmaLVR9askDFKGMKkaPWRmGtpzUHSoh3tfCWvkzsXmZSW84DIvcApVjHsh7wu0zbgLUzi9QyTHzq8geTchJkp3PO9JqGPvzK7NckpVLCL1fQ9fSRTX3cHcbtBZ36S0qHT5EcOE9QWsAtVEGAXqwjDJNM3glPuo3b57U3T5ovVg5R6DpLJ9yGEpNOcp1WboFmbpLkyjlIbDQRJ7NNpzuNkq1QGHks5zi6E5Xw4SM42sZNKx2myyuZP+IOumKyiYEsznjBMzEx+1zrI6nmFxLBcMr3Dj6wlZxVaoZNbn59GR3FaaT7ZmSrnphPj3QjMQ0RwUmja8QqWdLBlGlNhCgvXyCORaK3ImRXC0MM1c1jSIdIBYdIBBI6Rw5ZZloPUagNQsHvpyxzgcOEF6sEsdT1HqNZcg3mrSlkMEumA8dbbeEmTrFGmbA8ynDuOl9SZar+3ziIz511h0btB1iwzmj9F0ernSv0VmtEt1jjdIVI7D+hWcXgHjROBmS08kArT0jRxq4MYW5CCRwpaEzaW6MzfINMztOkuhuOuunB3ithv0Z69TvX486s1B2+FWxkg0zOM6WbvKbh5Dyn8lTlWzr9K6eBphj/1c6nMRhKDEPSc/ng6vyAIG0ssn/3BpgkU1YETuLkqzZVx5sZfp7FyA63uHhCuVIyKQ/QmJOhe8ZEiOR8GaDSx395ypWLYLpnekV1v1y73kR89ijAerQDJ7UD5Hs3z76R/fATTTzXQDBco2H24Rh6BpGQPEKoOQdLGS1qUnAFq4TRZo4zEoBkurR490XqHida73b/S57ccTLLkT/Bi/5co2QP4SWsdybGkQy2c43rzDVaCKTQpL6/Z/WStEj3OGPPe1XUkx4sbq9cbqRClFe2kTjNevO9nkIR+aiHdDEKQ6R3ddfkEadkU953EsDOP/sKhCxVH3QzDzZEuzu7tG4s6DZoT50lCP41hut2iLCROqY/KsWdZePs799TGHlKLt788y+Xf+mdUT7xApn8Up1RdrUjeGD9Pe+oqjfHzJMHm7vZL3XiaOOzs6J0HnRUWpt+mtnh516ra75GcRw1aE9YXthTGEtLAcLK41aGuJsXuMOJMZZDivsceWVfVXfERJDdr0LTiFSruCLaRQQqDgt2LF7eIdUiiI/JmGpDtmnmkMOjEtVuO3hi0G+uQIGmhUBjSRor1VpCEBD9p0QjnV4mRBhIV4SctcmZlwzG3Xu9ae7vz3qJW7Y6rf8PO4JT7idp14s6diw5uF9JyqRx5GmE8uHif9xvStDHcra1SSeDfUdTvjlCKJPBojp+nuO/EBuuXEAK7UKF85Bnq184QtWq7NlF+5NCNs1q58DqNa2e62l8GWiWoMCAJOiT+1vGEUdAC9KrHQQiJlKnoZZJEWy7SRTGH2d+Ps38/pn4MgHBiCv/CxXu+lT2S86hBa8LmCiqO0FptEBETQiANk/zwYeJ2g3gXSI5d7MXtHcatDN73ufbwcMKL6wgkpnAwpU3OrBIkbQLVRgqDsjuAQGDLDFJIvGRtordlBsfI4Rp5TOkghUQgsaSDACQbrRRKx8QqINbrrScajdIxkgeXzbQZok4jrcujkm4m1RpSHRaDbN8IUXN5V0iO4ebI9AyR6Rvd0N6jDDOTwy70bLk9CTr3VeFaJzGN8ffIDexH2s6G8U9aDk65j9LB06xcejMlrnvxOfcGpYhaK9zLDKJ1kmriOHlyxWFsJ4c0LKLIo7ZwmdCvk8n1IoQkjjzCILXYmpUyRrVM1KitJteoO1gGt4M9kvMIImzVSMIOOokRm5jQhTQoHjhFa/oySejd12pGmjaFsWPkBg5g5Yr3c9l7eIjRiRsorTCljWPkyJkV5rzLdOI6jpEjY5aRwsAxciit8LoZWIawKNr9VOxhinYfjpHFEBZCGCnZ2cINk6hoS6Viveq8ev8Qey0ir4WKwi3jY3JDhwibK3QWJ1dFJO8FwkjjcIr7T+6oFtS9NSaQhoUwjHRh9ACF8gw7g1PsJVPduBjS3RT9uNMkCe990tIqoXHjHD0nXsBwsxuCmIUQGKZNz6lP4K/M4y1Opro8D4LoyNQ6IUyTJHj/C08+UGwRvC2kkVp06OqHbTG3CGHgZsoUew4xtP8F3GwVadp0mvP4nWVCv0GxegDDcvDaS4Rz5wEwyiVkJkPz5VfQUdg12t7fc90jOY8itMZbnMHKlnArAxs2CykpjBylfOhJGtfP0lmYuKdmhDQoHX6Sgad+DOtBD8Z7+EARqk43kBiyRpmC1cPVxqs0o0VyVhVLOhSsPhyZox0v0+oG++7PP8lA9giWdJlqnWMhuEGYdEh0hC0zfHLwL27anr7l3w8FtCZq1+ksTlIYObrpLtm+MVTgEXca1K68vek+20Fh9BiVo89SPvLUPZ9ju7CyRQpjx8kNHKB29W1a01ceGNGpnvwYxf0nMdzcpttV6OMtThG1a/fVThJ0WDr/CpUkprjvxIbtQkqcYi/7PvuLLJ3/IcsXXiWs33/c1q2QpoVd7CU/dIj86FGmvvdbRO0Ptm7WbkFaDoabRQUeSRhw63ea6R8l0zOMikO8pRn8xelNz5ErDdM/+gxD+1/E6yyyOHu2mxa+BsOwyZdGKZT3sdIlOcrz0Pkczr5RVLOF1hrV8Uga9249/RCTHEGPPUrWLNKOayyHUzs6umqPUHVGKdtDnK19kyBpr0tn3Z97kla0TDNeIlTvv9ZJ48Y5zEx+U5ID6Yqm7/FP41YHqV15Ox2Ut7makbaLWx2gfOhJqseeS8W3dvPi9/BQwkvquEaBsjMEQuAldULVwVFZ2nGNvswBEIJAeYTdDKaKMwxas+RPcKP1FomOAY0pHVyz8ECKud50aRm7LNDnL89Ru/LOliRHCEFu6BB2oYrh5li5+AYqWj8JbAUhDcxMnt7Tn6R08DR2vvK+fFOiG4xbPvo0xYOniJordBam8Jen6SxO482P35elVxgWdr5E35OfpbjvsTQLbZP4Iq2SVO046OyKxaN+9V2k6WBmcmT7NqaUCyEwMwV6T3+K0oHTNMfPs3z+FcJWbesA8zvAcHPY+TKZ3hGy/fvI9Ixg5YpIy0bF4SNRlmO7cHuHqR5/DmlZTH3vd9J6frZLbmAfoz/257oB+Jqo02T6u79Fe/b6BuLcN/wE2VwvC1Nvc+29P0SrmIMnf4p8eU0o0usskS0OkC+t/aY6HjoIsQcH0QNpP4mmZ/ZIzlYwhIkhNgY9bgedpIEdLVOyBjY1ua+EM4TKI9H37l++H/jLs/jLs0SdJla2sOk+hu2S7d+HYbu41UG8hck0wLLrF1cqTs2t3bovZqaAW+7DLvXilHpxK4MYbq6bxCBQSUzYWMJwcxi2i/wQfdgPEtJ2MSwnDTA1DIS0UnE5aaTPXhppkcbudtkt/2A6Gez8nSxogp6THyf22qkrQsWrei8qSW77O0arZDVNXsURKlofBOonbVyjSNHuw48bJDpGo1PtnKhG2R5C6bhr8ekOQCrAMfI4Ro6sWSZSPpZ0yVtVKs4ISse7bq9ROqYTNzCERY8zhiFMgiSNHYqUT6T8LtnaGWKvibcwQdiqYWWLmyqH3yw4WT32HE6hB782R9hcIWrXSEI/FZDsxsXd/KasfBk7X8Yp95Md2J+K/5kWINBaEzYWEYaFYbsPRC9HSAPDctKgYNPGcHJkeocpjDYJWzWido3Yb5P4na6qcLvbX2JIYpRKY/+ENBCmiWFnsbJ5rNzN++ol278fM1vYdEzQKiEJOqxcfit16+wCVBzSnrmKNAysbBEzW9xAroSU6ThV6kUcOIlVKBO102KjUaeRxgfFUfpNaLXqipGGiTDT92Fm8phuFsNJ/zEz+bS9TLcUh6C7ePzwLANNN4fbM0hn9gZ0i1mbmRylI0+SBB1qF99AmBaZvhGKB0/hLU5tqELuZMtoAY2VG0RBSlBu18ZJYh+t1Dq173h5GeX7SGstizdp31/Zlg/9LHVT7yNnVpAYeEmDREcIJI6RQwojFSHTEWHioUhflp80aQl7g5VGdHVBIE2HvF152BQ2lnSRwkQgCJWH0gmmtFBdRVeNQmKQt6o0o0Us6WIKG9G9liBpEetog+LrrYi9Jv7yLJ2FCYpjJ9JyDhtSKgV2voyVLeBWBmmVegnri0ReExX6JHGMNC2kYWHYDlauRKZ3BKfUh+HmkLfogmilSIIOzYkLZAf245T69kjOdiBl+kwLPUjbTuMjTAtp2ulgaphIw0qLC976m2VhWOk72RJCUD70JCoKUDeJTByuxl6opKs5Ed/UnkhStew4REUB7flxgtr86umCpIUmIWuWqAUzqzEzqUBgjUpumHq4Xu+mES1gywy2zNCXOUCYeJjSxjay2EaGQHXgDv34XhCriGa0QJB0KDuD2IaLn7QRCOrhLK1I3RPJUVFA2FimPXuV4v5TSGFv+k1J00rJSrEHf3mWoDZP0Fgk8Tup1k43DsawHax8BaeYlhuwy33rqnVrrdEqoTl1OSULpb4HKgoohEBYDk7JwSn1rLYfNpaJvSZRp0nUqhF1Gt0+FKHjCKWSLhFPJ38zkxIcp9SbCvAVUqn+TS04XaVib2GS9uz1+wo6vh1BfQGtErL9YxT2ncSwnc2Dxk0LtzKAWxkgDjziTpOwuUTstdJvJ47RWq0uLqRhrrpsrFwJK1tcLf658f4+fEHNacmGPMHKfBqIb5hYubQyeXP8IssXXsNwsgghyQ8fYt6wgPXk1TCcVGD1LvWn0tlzrd8oz4dEIQp5EALleSj//goZf+hnqYxZpCB6qdjDODLLleartLrCZ6O5kzgyhyFM6uEC8/412snyHc9nCIsB9zAjmeNMdc4z51/DV2taHgWrh373ILbMYgqLef8aXtKiYPUSKZ+F4DqxCnCNPCeLP8Lry39A1R6hbA9iyQymsJjonEsHcXVnBtueu47WCfmhQ0jL2VQgC9KVnJUrUjny9D09Q601SRTgr8wz98bXGXj286srnD3cGdKw6T39KYpjJzDs3VWiFkLglHrv6VgVhUy//HvrSI4XNwkTD4lBI1pEdQfwRMe04iUMYeInLfxkLdV6qv0eSsf0uYcYyz+RppdHNZaCca4332Bf/okNhENphdYJagvyo7XquoY3twHFOmDJH2eqc44+9yCD2X5MLCIdcLUZdjV57umxkIQes69/nWzf/rSy9i2k5FYIIbCyBaxsgcLo5u6tO0F3C79G7QYLb3+bwsgxigdP3/P7vBfcrN7tVvqh0r+r5765+NMqxlueYf6d76Ki+8uS2dCGSggaS0y99Lvsz5bI9A53J9+trSqmk8F0Muk972FTCGkgLZuoXUdrhZkt4JQHsPIVVi68RtSsoaIQb36CyrFnNrV4qiRKhWmtrUm7aeWQ0uxWHE9hZLNYw4PknnwCDIPg2jXC8UnC6Zl7vp8PPcmJVcByNMWMf4mC2cNw9jiNaIFIBUgkZ2vfwjay9Dij7M8/zrn6nUWkYh1yo/0OWaNEoNZ/tHmzStYok6iIM41vkDFLDLpHyJplJjvnOFH6FLVoFks4lOx+FsIb5K0qrpGjE9eY6LxExiyxL3saWzpMexfueC2J36Y9e53J7/0WI5/806mo2ANAEvqsXHyVxTMvEXst/OUZcoMHHkhbe/jg0IjmadYXuFh/aZ32TaQ8ptsXmGlfJI2IWSMfkfIYb73LROvMbWdL96sFs+uO0SjOLP8xINad5yba8Qpnlr/e3b41U9ForjZe41rj9Q2/309As1YJwfIs06/8Pr2nPkl++BAPwhWhk5igvsCNb/46QWMJO79A2Fi6+4GPEHQSsfDOd6lfO0Nn/t6SH+7eiCL2Wlz7o1+l79QnKB44TW5w/4Np6yMCrZLU4ta1XGX7x8gNHyBYnsVbmEInMYbtolSCsDcRZQRa9SlKPYcYOvAJGivjt1l0BJadoXf4cWynQH3pyuoW58B+jFKB5d/8HbRSFD7xMcy+XsKZ2XuO5frQk5xI+8Q6QOkEL25gyywZo4AlXApWH4cKzyKQSGF0Tevbgd50ML0Zl1C0ejmUfw4pTKSQdOI6ofJS7RCRpugWrT5mvctkjCI5s4olXSyZQQoT0Bv0Q7aCigKa4+8xY1pUjj5Dtm/3lFm1VoSNJRbe+RNaM1cJm6mVK6gtpAUo9/Chw9YkQW9KSu62bTOicjcisn2icqdruj+0pi6j4xh/ebYbhOnsmmBf2FqhOXGR2pW3CGoLqUWn0yBq7X52zk2ZfBWFSGt3FZu3bDOO8FdmWTz7Ep3Z64TNFR50Jp2KfJYvvk5nYZL8yJHVFPMHqUGklULFAc2pK/cUzPywIgk8wuYK5cNPpJm6+x/DKfdTv3pmtYitsCzMTC4lQ5uQj6XZcyAkA2PPcuKZP4/XXiBfHsO2cwwf/ASm6WC7RRpL11mYfGvtQAEYJjKbRUcRwrHBu793+KEnOQIJ3RwPKQw0CqUTFEmX+DTTbA0SwuT+guJumuETHeN15egTnSq4Kp3QiWu4Rp6MUcSUDp24ji2zKJ2Q6Gj1mFiHtG9RlL0jusqUzYkLCCGImiu41cE062oLU/td7yOOiP02QW2B5uRFmpMXCFu11Qj6sLVCcrNI6IdEqXUPe7gVid+mMz+OSkKEII1DK/amZGcT8/zdcHNC9Banac9dpz19lfbcjVW9ndhrE3mNtQljl74rFYV05sdZvvAqbnUQu9iD6WbTQPddamNVA6fdIGo3CBpLtGev0py4SOw1H6g2zy0XQdSuoaKAJPJAK9zeEexCFStXxHTu37WutQat0tildp2o3SBsLtGZu9HNsvtwIGrVac9cp3TodBqPky+RhD6tyUur/dOwM9iFCnG7sWlckt9ZprF0FcvOUKzsJ1sYwDAdNBo3W0UlEfWla9QXr+B11iyY8UoNpMQeHQGtUK02Sa1xz1Yc+AiQHFM43cDILFmzQpC06CQNEhXjmQ0WghuARq3GAQAIDGFiduXoLeEQSR9UujI1hY0hDExhY0oHQ/skOiJQHbykiRQGi8ENgJRQ6QSNZjmYJm9VcI08WisiHeAlTbykiUhYPSbR8ZZCaVshbCyxfOE12rM3KO5/jMqRp9PUb+NmFo/RzRIT6wdQ3ZXe7gYhqjhaDWpu3DhH7cpbq+z9JqJOnai5TNBc5nZT/q5oRWiFjiOCxtbxUWmWxkOks7IlUhIatlZ2vfbR/UAnEcmHaGB+EIi9Ju3pDsHyLJVjz1Pc/xh2vpwSne53tRrwLwRr34Lufk+qm9EWk0QBUavG8oVXadw4t6GERBJ0iFq1tM9vIB96wze4XagooDlxgc7CJIXRYxT3Hccp92O6+bVsv5uijUKs/ndzkqW7t6ZBJ937U91xI6AzN0Fn/gbtuRt05m7c0/XeL5LQozM3jrcwRWH0OLmhg2T79+GU+1aDh4WQINfuef0tpoQtvcd0TNRagVJpIH/k4y1M0Z6fwFucxFuY3H0rjtaoD3D8C5vLNG+cp3jwFNnB/YSNZTqzN2jP3lhtU1o2hpvHW5xKMwpvg0pCGis38NqL9A0/RaEyRhz5CCFJ4oDG8nWW5s4RdFZQt6jyR7Nz6DAk89gJhGURXLtOvHB/GkdC354e9Aig0WhQKt0h6wQAQb9zgF5nDEu6aAG2yHCp+YNuxWWXkewJckaaouslTerRHHP+FSzh0u8epMcdo2QN0IjmqYWzNKIF/KTNgfyTVO0RwqRDO6lRD+eZ8t4DoGwN0uceIGuk19eMl6hHcywFE0hMnqp+kURHzHlXmPUvA9DvHqRiD+PKPAC1aJaVcIZGNL/JfW0P0nLI9u9btepkeofT1G/LRZo2wjTTDJwoSFeR7Tr+8iyt6ctpqnmnyaNBIvawh/cH0rSxC1XcniGy/fvI9o2mqrtWmvotLBu6CwUVBgTNZfylGbzFKbzlabyFKR6Gb0qYFlamgFsdwK0OYRd6MLMFTDeH6eYwnMwaIei6e9JsvQgVRSSRT9RaIWwsETZXCOqLtKavkIQPp+qvkAZ2oUp++BBOZRC7UMXOlTDzpTS13jBByHXZiUnop4uTxhJhY4mgsUTQWMRbnP7olImQaXp+EnobwhOsXAmnMkDY7QfcIwm/G+wD+9BBSDQzu+n2er1OsXhnJf4PMckBidHVyEnZuhCCWIVoFAKRxsx06+qkAmPJqjUn3ZZK06fZHqprXdEYwuq6vvQt21KT7M34npvnVahbskXAEi50tUdW2+pe503htJtt3Snwcju4OUgJKddcV+tWnOmd37TmaKVSXRWVPJSD1R728IHjpl6MYdySDn675eOmxaNryVHJHSXwPxAIsTY+3GK92TBGiK4UjIab93XTspRagG+OG1tnwz0UEDKVxJA3LVcCZNey3f33qgr3zXvsZsDdHBvRD9k7fD8gxOZzQbf/3Hwu99uGUSwgczmMfA6Zz2Hk0gW/PTpMcP0GrZd/uOmh2yE5H2p31c24m1XoW/9Xk+iIrbqs0nGqmbPJ+411uOX3rFEkWm153khvDNjdcJ27hNUB9iOAXjfNqFgOJjlYfI5F73paAVsYJDqhGS6yG4Pwyc8NsHC1TWPeJ2i9D7EGjwCGHiuQrzpMv9egvfzBBmCe+Gwf9VmflWkPv7H+/QgJmZKNVwvvncNrhU4UehcK336g0HpVKPIjAa1QsYJ7Kjf5EcZWH0q3/2wNgZMpkysNkc33Y5hul0Bv3DOJA6YmXkJJidlTRboZoq6LyigX0dH9vbMPNcnZw0cHBTvVF6mHs/S5+/GTZirwJQy8uHHLSu0+ICBTMLEciZB7Adc3YbkGTt5Emh/8M3HzFh03Qt72foQEO2MwcDTP+JsrJNFDbHXYw/sKs5hBZmziWhsV7A7pk7aJipNVxeAH2dZuw8wWdqTX1Jmf2EB47EyJQmUf1YETZHK9SGluGUwfBU0mLn8bkShUuwM6jc0BMPJZkvq9l3SAPZKzhw8JNBqBxBA2XtLGNdK6SUrHLEbju5JqLKXg7a/MoGKNSrpanRKksfbxCiFIYrXOgisMkVrGu1RLK1CJRppi1RosRGr1VUqvsrGb228iidNta+fb2J5h3lwtpW2pWK9L2BFG95xCoBO92t7tbd163B2fiSGYOtNgigZJrFZ/EyK9jdSd03UE6PS8him627on6RYd78a/I2S6363PLok0QoKQa9cphEDdeg+G4MzXZtd+W30BYGdMysMuj39+kPnLLbx6dLPZNGE90av7mpYkvlc1wYcIwjRI+5veMNnuYQ3ZIwNkD/Wz8v2LBLO1+18NCbB7C4TLLZS/3gqROzZIZl8vKy9f2p22HgByw4cZ+vif2nzjLcr6N7PNrvzmP9+QcFLtP07P0GlK1YO061O0m7NbBs/HUSd1C4YhwfUb6cDQDWb2L19Fx/dHBvdIzh4+FAjiDhmzQI87xrx3hZI9gCUdgqSNnzTvfoK7IFe1eepnhnnmZ0f43r++zpUfLNFeCjjy8V4e+7F+rIyBNAS5qsOf/KurTJ2t06lFmLbk1OcHOf6pPkxX4tUjxt9c4c3fm+Yz/+VhKiMZ6rMe5WGXqbMNrr22zNylFkLAZ/6rQ5SHMjg5kyRWfOf/d5XlG21O/vgAxz7dh2FJshWbV/7DOBNv1wi9mM/99WNkihaWI2kth7zxO1NMn62jNQw9VuT05wcpD7pYGYMLf7LIlZcXqc14fP6/P0auYmO5BkmkePnf32DmvSZJdOfJ/uk/PcKxT/UipeBr//QSC1dbvPjn9lEezpDEip6xLK2lENORrEx5fPdfXuULf+s4caiwswa5ikNrKcAtWsyca9BcDKiOZfnuv7pKtmBy5BO9HH6xh9/8+2c4+FwPh56v0rM/SxJrSoMub/7OFDfeWqG1GPDsL4zx1J8a4q0/mOHcN+aoTaeSENXRDAefq3Lis/30Hczj5E0mz9RpLwXkqg6dWsillxbxahHFAYdf/H8/yb/779+kU3t0XRvCNtn/N3+apOXReO0K9R9e/qAv6aFF483rNN68sTtxiIbEKmbo++KTLH79DN74+syg+uvXqL9+/aGOeYy9Jp3Z6xt+F0JiZHK4lQGEYRH7bZbPvkSyiZJ1qecgUppMXvkuExe/fudF5i2bzEoZYdurgcbSddFRhGrde/2qPZKzhw8FgqSFa+apOMNcb75FwaqitLVrsU5eI+Ldr84wcqpE2OmesxufKU3JtdeWmXi7RnU0y9FP9lKfS2N2clWb0z8xyPf/9XVaywEq1gTtGJVo8j02Say48CcLdOoRYScmaMWYjqR3fw43b/LOH87Q6U6+L/ziGN/6lctc/sESU+caCCk49HyVQq9N36EcsxebjJ4u8e3/40rafiemvZzGn5RHMlRGMmgN3/iVyxT7XYZOFDn54wP84NdvMHKqxOu/NcncpSZhJ6G5GKxaZu6E89+ex84aVEbWKtVLQ9BaCli41qbvUI4L311g7IkSdibN1DFMycQ7NfI9Dm7B4swfzfLCL+7DtGVqbbopQ9NdNQrjZuJAanGqz/m8+p8m6D2YZ/RUkdBLODsxy7tfnWHwWB6/Ga2zSjXmAsbfrhFHmmOfSvjer12ntRCgtSZbtvnEX9zPxLt1pBT07Mtx483aXcnd+wYhMDI2RiFD3OigvO3HPAmzazl8GM0Ft8HuK1I4PUrc9GmenUQFEU5fkeEvf4Ib/8cfU37+MJn9fQhDYuQdFr/2Lv70Ckk7lUEoPnWA3NEBzFIWFcZ0Ls5Qf3scq5Ijd3iA/IlhVJzgTyzhXV+kfTmdRMvPHyb/2DAyYzP7O68TztVwR3vIHugle2gAHSeYpSydK3M035vCn1xi6EsvIh0baacSAvO/9zrhYgsj5+COVKh+8jj5x0aQjol3fZHOjQVa56Yov3A4/d02mf29NwjnaqDBLGXJHOij9NR+dKIwMjYqiFh+6SKdq/P0/MgJ3OEKwjLJHh6gc2mGlR9eoX3h3ksd3Ane/CSzrT/adJuQBqabJTdymOKBx1Kytkn3MqwMKolo16e2X99LCIxKBSObXXVX2WOjqHY71c+5xwyuPZKzhw8FgqRDoiMyZiktcKoipIjuqVDjZlCxpjkfELRiVLL+Y/ObEfVZn8UbHZJI88RPDmHZEsOWZEoW0hAsT3ZozK1f8QgJkZewNN7Bq69ZDdyCSXk4Q2koQ8++LG4+JFO2sTMmhi1x8xalQZckVrhFE8OSOAsBSaSYfLdOoc/BsAWtxZDGfDoJ5Ks25aEMlWGX3v05MiWLbMkiChO01kydrePkTHrGsnTq6f1sZ25sL4d4tYh89Za6XAJCL6G54KMTqM169B/Ok6saq9s7KxGGJUlCxfJkp+un2qSB234LvYQ4VCzd6KAVHHquilsw0QqaCwF+K07dercgDhVeI6K1GOA3I1YmO/jNOH3+gcJyDWzXwM2ZVMey3Hjj4YnZEZZB5kAfVl+J9oUpwm2SHJ0o6q9cRnkB4UztwV7kLkAnCSqIKZwapXNlDmmb2AMlpGsCgmi5jTANhGWQPdCHO1Ih6QQknQBpmxSfGCNu+fgTS6g4Iap1EFKQGa2SPdSPN7mEjhXhUouks6YPFdXTGBCrmEU6aVtGxsKq5nEGS9R+eAUnUZilLLlDA/gTSwQzNYRlYhYz2NU82YP9RHUPFSckXkTc8Eg6AeFCk3ChQdL019oiJTU32wKNsAzMoos7WqXx5nVi28TI2BROjRLM1XGGKhhZB29iidyxITDkrgk5bgYVBYT1rTW0wm52oV2o4PaNIozX4TbNLZVEa7ps24TZU8UeHsQoldBhCGiMbLYbp7MnBvjIwKiUENbaY0+aLXQQPTCdgW1DCmQui3TSQp86ilAdD+L7sIQIgXBsjGL+7vtqTVJvppH099CfQ9UhSNooHREpf1Vl+taK2du6ZMdGuA7SSYX7tFKotof2ti5j0V4JCb00yDD2EwwrDUw2TIGdMfDq4QZiBGlcTugl6wgOpJaQTNGk2O+w78kyXjNGJ5r5Ky3sjMHYk2VGT5W6rp0M7ZUIIQWRr3jzd6d48qeGcPIlGnMBjXmf2qyPnTXJVVKic+QTaVCh34yoTXqoBN7+gxke+2wfQ8cLhJ2E5YkOjflgNfZop1CJJvYVSayIfLXhPHGoiANFEmsiX93UYEvvvxs0bFhiXbwTgN+K0mcNxEGCNASGsQ0F4u6C89aAca0g8hNaSyF21qDQ61AeynDuG/MPjSVH2ia502PYvUWC2RXC2dr2DkwUy99494Fe224ibvp0rszR98Unka6VWkWGyrTem0YrTef6At7UMkJKdKKw+0qEi0382TpGziV3dJDp//gDmmfWamSZxQzOUBmrkmPy1767abvtizM4fQWEvb50gFaaxI9Y+tY5nKEy5ecPkz3Uz9J33qPxTtqGVc2ROzJI9mA/zbNTxE2PYLZG491xzEqO2qtX8G6suavaF2Zw+kubJy3olJiuvHwptTAe7KfvC0+w8oPLSMcianjU37qBM1SmfXmOqLbdEkS7D60SwuYK3sIk/c9+DmmYG7KJA6+O7eRxc1WktFDq7q5fs1LGKJWweqoInVog46VlklZzj+Q8MjANev/bv4RzaAxIA7eW/81v4Z+9SLK48oFemizkKf/c58k+cxodhviXrtP46neIxqfv+ZzCdcg+e5qeX/6zd91X+QGL//zfEFy5gQ52noYcKZ+5zmXmOmnswXT7vR2fAyDz5GNkn3uc7LOPAxDX6jR+/1u0vvXyLXutT4W8dYJed02+or0c0rM/i2ltnIj1TfXY2xCHiqUJj/krLV7+dzeYu7SmjvvYj/bjZA2mztV5/TcnefbPjFLoSa0oKtFMv9dg+r0G+54qM3yyyKnPD/Lyv71BcyFg8UYb05F85R+e39DmzPkGM+cb9B3KcejFHk5/cZBX/6/J7afJ3y6/dA9IopQM2VkDART6XLKV9SrRWsO9yEdppdGJxnKM9YLfiebsH8/Ssz9LeTgtcNupPTx1iKRjkj+1j2ix+QDKhD480FGyZunIu2QP9pM9NMDMf3oFaRn0ffFJMvt6UUGEVckRzNVBSqQpcfoK+LN1ktusXFY1h04UwcLOs3OUFxJ0LWDKS0vYpOTLZuyXP4OOVeo6y9r40yv3X8NVafypZXScpAkBYYzhWEQrLXQYkTvcT2a0gpHPsPTNc0TLrbuf8wFCJwkqijAzedikzMnS9Dv0DD3OwL7nadenaSxfR6k7jyX+pStEC0sIyyJeWNi1a90jOXtAZjPYo4NkP/YUwrQQWRf70D5yn3qO2r//3YcyA+D9hOVK+g7mePpnR9j3ZJlCr8PYEyXmLjYJ2ltbuuJQ0VgIePsrM/zYXz2CkAKvETH9XoN3vrK1Pz3sJEyfrXP4xZ7VWJUkUlx/fYXZS036j+Q58oleBg7noWvBMW1JZTjD5/7GMSI/xnZNOvWQ1/7zBFpplm60cbIGPftz/Pw/OA3A4vU2s5eaTJ9r8MW/dRyV6G52luB7v3aNOLiDFa+bTv/8l8bY/0yFfNWm0Otw7YdL5Huc1AW1Q9RmPOqzPk//7DA/8/84id+KcfPmXbXGDEdSHnZ5/kv7OPhslb79OUZOFpl8t867X51Ba/CaMbVpj0Kvw0/9D48x8U6NyTN1pt9rMHm2ztFP9yEEjL/1wS42bmLwy58kd3IUZ6iC3VcErSl/8hj6ljipK//P36BzZXbd9zn4Fz5F+RPHsco5AJrvjrPy3XPUX764uo871kPu5Bjljx2l/solqp97AhVEdC5MsfSNM4z9d1/AyLp41+dZ+L3X8K7MrR4rTANnuEL/L3yMzME+zLyLChNa715n4fffIJitocN7cxHrWLHy0kXyj43gjlQQhiBcalJ54QgAjbdvUH/tKr0/dhIjn1k9Jlxs4gyWMbLrCXG0krq4nP67C8duvBg2WA+MrEPp6QOEi01WXr4EaIpP7MMoZG45TqNjhXTMndc427wuLhgGnasLzH/1bXSSkHTCDzRbTkgDtzpA8dApolZtUy9EvjJGrjiAZec48dxfJIk84thPSzjc9lzDoMV7r/2b9A+tsKoVip/8GJgGwfUbhJPTqzE694I9krOHNKLTMJD2zUFCIAyJMO+ze8Qx0fQcja9/H+naCNtGWBbSsRAZF3vfCGI7roYPGEmk8RYDzn1zjsl3a4Regt+K8eoRUaBYme7QWgpRiaZTj3j512+sTvJxkHDpe4vMXWwhZEp8OishSmne/v3pLYN741Bx7ptzuDkDaUq00jQXAlrLIee/M8/02TpBJ0ErSGKFV4/o1EPe+O1JVJymW0d+wsq0n1qMEs3SRIczX5vFzafv1W9GdGoRQTvmzd+dWh17tNKsTHmradybQqfxMZdeWmT6fAPTlgStNGB5/mqLoBXTWg555T+O014OuPTSIpYrUUrz5u9OsTLlUZ/zqc/6hF7Mq/9pgtqMR+glvPRvb5BEijhU69xV81da1Of91evyGhFv/8E0YSehU4t471vp+4lDhd+K6aysif6pWNNaDvner10jiTXt5ZBWV7hQJxo7Y9BaDJi9cP+ZeLuB1rlJwoUGdn+Jvp9+hnC+kcbkzK+l6oZLzQ0TY+PVKwRTy5jlHP0/+xyGayHt9d+xMCRmMYN7sJ/O1Tk6l2ZwR6qUXjyGdG3a56bIHOzHquQpf+wY3tW5NEXfMXGGKgx8+ZMYrk3nwjRJJ0BYJrljQ/R8/inqr16i9fa91a3SiaJ5dpLhX/wYaE3r0iwoTbjQIHd8CKe/hLRNzFJu7RiliJs+7fPT5E+Okjs8gIpivMllOlfm8SeXsYpZBn/heXSUECw0CKZreOOLSNei+NQBCk/swx2uUP34UVqVXDf1ng3PVkcJ4XyTysePUXr2ICqIMYvrC3+mcT9NzJxL5RNHcUereBNLBLM1ik8foPD4GO5gmerHQ1rlHJ2rt0zem1h1jZyLMCT2YImezzwGIiVv7ctzBNMPhpBn+scoH35iy+3SzmAXq9ilKo0b76Hija4ow7RRKsFrLSANc039+6ZOxC24NTnE7OvDKJfonDmL1hp7ZBizWiGam79nl9UeydkDOknQnk+8XMMoFtKCe802ycLSfVlxdJwQLyzT+eHbyIyDcGyknca8GOUi9sggPAIkRyUavxkz+e7mxUcbt4xToZdw7dW1wnpawdJ4h6XxjZaNyTN3LmY6d3HzCXfuYou5i5ubq6/8YGnT3wG8erQh/ucmrv5w62KAWyGJNDPn70wKrr+WDsQLV9eu99bneDPN+8abawP2VvfQXAxoLt4SNOqrdc9wq/ezur+XcPnltXMblqDY71AadFOr27xPc+HhKFrqXZnFv7GA1Vek+tlTBDMrNF67SufymgUwbm6ME+tcmqFzdRYzn6HyI4+hN4kFAxCmxMy7xPUO7fNTaUDv8WHcA/3M/vr30ElC9tAguePD3AyQNcs5MkcGKT59kMWvvkXr7ATRcgvDtbF7C+QfHyNeaeFdnl3NetoRtCaYrREtNYmaPp1uBlSw0CSYb+D0FTBci3C5ifJj4qYHGlQY0zwzQeZAH2beQYQG0rbQSYI/tYK006wkHcUYTQthrYpMIV2LpB0QzNZTl5RtErcDdJyggvRbUVFCMJ+6vIK5+ur/gyZcapJ4Ebobu6gTRdzwu7E4GiNjpaRJCgzXImkFqaut2xZSoMOYaKWN75ipKrPSJE2f9uU53KEyyguJjfRapWngDleIG94DIzlWrkR+9NjmGwVIw0KjiZo1muPnNyU5fmdl23NHHK/1YyObQbgO4dwcOk5w9u/DyOUQtp2WDrkHzZw9krMHtB8QzS3ivXmOzFMn0Z5HcOUGndfuM3BRa1SzTdi8TePAkJjVEoUf+zjCtu6vjT3s4R6RKVocfL7K418Y4sJ355m90Hxo5EtukgTpmOkiJEgn9Xg7AaeJJvHDLsHZ4oa6NapqL50nWulgD5TJnxrDn1ikc3kmJUE5l8LTB1cPcff3UXz+MKoTMP9brxB3M5OQAh3F7P87P0vm0ADu/j7a5ybv6b51lDDxq+uDhONGh4U/fOuOxzXevkFjEwtS4K0QzKyw8tLFDduUF7L87XPcjd4n7YDaK2s6Q5O/+p077q/jhKlf//6G35e+dW7LY1qNKVrvTa3+7Y0vMvXr32foSy/gT6/gTy3jTSwhDMnBv/FFzFtdZHeBMG7Wb+wKQ2qV1vCSMhXou630TxJ6BLUtikNrTRx0COtLeAuTtGeubbrbwuSb276+W6GCABnHWP396ChCWBbCtjHLJVQQktTrO7bo7JGcPQCgGi1W/v3vsvIffo/VVJSHZcTfwx4eAFpLIW9/ZYZ3/nBmy+DxDzW0JlrpQKLQYUzS9IkWG2ilUVGMihPELa4uu69IZrSX1tnJVMn35vNSms7VOVQQYZazOCPVeyY5e7gFWlN7/Rp9P36a6qePk/gRZsam9sMr691cd4BZKFN5+uM41X6iZo3OxBVa1y5SffZTFE88Sf3cmzTOvUncWrOCtqeu0J6+epdrW/3XrkJ1PIhinH370h+iGGHbZI4fI1pexm+30NHOrDl7JGcPa0jTfT7oq9jDHt4/fIS7fLqqv7VqsUbfTJ2/+fMtWUPSMrF68lg9eY79w7+YHn8TQuAOV+kEEWbefeDX/lGBP7nM7G+/mrq8tAYpSFrBhkyyrWDYDpmhfcx947dJwgAVBug4ov7uazjVfpTvbZ4Z9gF9FDKbxSiXUimP7oWFU9N4ly5DHK+6BXeCPZKzhz3s4aGDaxbQWpOoiFhvP75DCgNBWhtL3SYEKRBIYZHohydF/GFCarzdenJL9bMSkk6AN74Et4tiXl8gmF3Bn9g6LmwPO4MOY8KFnQfDSyeDVaqQHd6PVaxgV/qImnVipVG+R9xupITnNleVmS9iZLIIw8KfnUBaNnbPANK26Yxf2X77RldnTCfr2hDSwLLz2G6RKGwRhx2S+JbvW5CS7TBcjSdLOh1U895T5vdIzh72sIeHCAJTWBSsXiIV4Mct4mT7JMeSDlKYKJ0Q3FIZOSU4Jrbh4sURj4xv6qYb7ZbCiB/YpQQR0UqbcL7O/G//cEPxSUiDgHdSemIPDwaG7eBU+3H6h5G2Q2b0IHJhFrRa55q6HVaxjNMzgHSzKcmxHXJjhzDzhR2RHCdTSkUAkwCvnZJeIQ1sp0CxepBccQivvUCnOUu7MZumlkMaxxlFKM+HqBv43b4/4cM9krOHPezhoYElHSruCDmzynIwSaJ3ViQzY5WxZYZYBQTJWsB7WqHewjay+HHrkajnBKnXIAmiVJF3M6Xc9xHhUgt/YhH3QB/hbI2ktbUK+B4+WETNGtH5twiW5sgMjLLw3T9EJ7tT4mY76B16gnx5BBWHXHjzPwCQyfVSHTjBgcd+cnWNsTx/numrf0JtMSVQ0s0gTYtg+uqq2n6yR3J2HyLjYu8fxh4bxhodxBoaSFOgbQthmml6YccjabZJag3iuUWCq+NE49Moz9uZUJPqBvlKiXQdMs+cxjl2ELOnjFHIIbLZtMRCu4OqNQmnZmm/8hbxwhLsMAALoPLlnyHz7OMIy7jjftH0PO0/eZX2y2/suI2HBkIg81kyp4/jPn4cs7eCzGURto3qeMRLK0QTM4TXJvDOXIA4QSu1ZdrtHZtybOyDo/T+N78EQHh9Cu/Ns7S+88raPrkMZn8PmScewzm8H6OYQzoOGAZJq01SbxDPLhJNzhBcuka8sLwzg4NIS3NknjiOtW8Ea7AXo1xC5rOpkmoQolptwhtT+OcuEk3OkdR2oAZrGvT+3/8CztED6FgRT82w+C9/A9VoddNxu/336AHM3gpGIY/Ipf1XdzySepNocpbWK2+RLCyhw/UExjFyFO0+BrNHiVVIJi5gCRshJM1wET9pUXVHsKTLfOcqB0pPYwiLIOnQipZY8deyUwxhU7B6yZplauE0rlGk4o7gx02aYpG81UPeqmLLHK6ZY9mfohPVSHTEaOHUuvMuetd38BJ2FzqK8a7MUXrhMOFsDWmZxE0PmXXwrsxutJpIgTANzHwGaRooy0oLfOYcEj+EeyzTAdC+MAVasf9v/wz7/rsv0HjrOsHUMiqMsaoFco+N0Lk0Q/ONq6lg3R4efXSz8HaKbKEPKQxqy2sZb5X+41QHTrIyf4HL7/w2Q/tfJFPop3/suVWSozptoIfc88+uzm/+9Rt4756951vYIzm3QLgOmdPHcE8dw+itYBRyyGwWmXW7Wgcy/UcpZCGHUS2jh/pQB0ZxTx6h88YZgovXiCZ2UB02jjGKOayhPrLPnMbaN4xRKiAcB2mZYBqgFLqYR/dUMAd7sfcN4717nuDS9Z211b1Ho5BFWHdO3U6yzXU1th41yEIe9/hBnBOHsfePYFRKSNdJBQ4NicxnMYp5rP5enMP7cY4d7BISsePo/ZsQholRSOt0mZUSMr8mWuaeOopz/BD2/lHMnjKykEdYZpreKQQyn8GslrAG+7CG+tFRTLxY465yv10YlSL2wTGyzz6O2deDLOSQGRfhpMQcrdGJQldKGJUS9oFRoul5wusTdF4/c8faXLdCZlyMQj5NPdUDCMNAFvNYwwPknn8Ca98IRimf1v+yrG7/1ehiHqNaxhzoxRobwj97ieDydcLra1k4kQrw4ibteBkvbtKMFrGkQ86sIqWJSMCWWbJWiYLdS6Ii6tEcQdImUmsuLUu6WNLBMbIs+eNEKkSIDu1omYxZQiCwpNMlMi0a4SxFux/bcOlEdYKkncafoO8Yo/J+IPFCVr57DnugRPb4MJlDA6gwTSefm6+vK9iZf3I/hScP4AxVkFaqTGxHCWYxQ+Hpg+hEsfzNd++JxAOodoB3bZ6Zf/c98qdGKb14dFXVV0cJiRcgpEDfB5HawwcLnaTWE2mm84ORzd91rtgMhumi0QR+6hpzMmUyuV6kYTF74xVCv0GzNonl5Mjm+1ePC2fmSJothG2vBj8nrfsrYfHozmK7CSlTcbqxIbLPPYF76ijCdTbIcutu9pEw0iqsODaQ7b6MfoKr4zvvEIbE3j+KNTZE9tnTiFz3fIlKO1yQpBYkx0a6TjoxD/Wn7UiJ8vwd1b2KF5cJr0+l0eumkVa0lQbCMjFKhXSnD9j3f78QtoV7/BCZp0/iPnZk7b60Ti01UZwS1ayLzGcx+6qYAz0kK/V08t6F2xeujXAskAJrsJ/MUydxTxzGGupffb43J1AhBMJwwHFS64cQO1KCNnqrOIfGyDz1GJmnT6fkSYj0XroWHIRICUnWxci6WAO9mAO9mD1ltB/gvXsxrfy73Um9azWShRxGuYh76iiZZx9H5rfRfwf7EK4DpkHS7pAspEolSseEysOP23hxgyBuIS0DQ5hI0orGhjSxZAbXyBOpgFa4tKEIqyltHCOPbSRMtZppoT8V4Cdt8lZP9/IlCPCTJo1gnqo7itASIRpIYRKqDpEKCFX79jt/X6GjmM7lWRqvXsYZ7cHMZwCN6gTp+70FwjSQtrmqcNw6O7lumzDTcStp+QSTSzRevbJqKQzn67TPTqYFQJUiaXr444s037rOzZ10oohWOtReuoCQAnekilHMIKQkafn4U8uEC43ViXKnkIZg9OPDCCnoLHq0Ztp4K7vrEpOmIFPNUD5YRAjB4ntLBK1oR8Ss51iFTNXFsDdaw8N2xNzbC6mo3y7CLTuU9hVxyw7thQ6tmTZ+7R4EF4VAmBZ2uYqRyWEVKzjVPgDiZp0k8FFJjJnN4w6OYpV6MJzMhr5292bS8UeplIRnCwNYTp4kDmgsX0frhDBoksQRpr2mGq19HyUEhmURLSwiDAN9DwKAt2KP5JDWbnJPHaPw2RexD4wC3UwCpSBJ0pXPzb+VTslB14wnpEitO1oTXpsgnttZYTGjXCRz6ljarmmkpv0grQCuPB+UwqyWEY4NlglG+mG5jx2Grsup9fWNwlNbwXvrHNHEDDKbQeYyiIybTj7lEtkXnkjvaUd38JBBCsy+KoUv/gjW8ADSsVMykSToKEb7AUmzjY5jZDGfWndsG6NcpPQzn8N790JKTu4TwnGQroN0XfKf/Ri5F59GZJzUbaRUap3rDhxCytTNICWIlLgG1ya3Z8UxTbLPnk4J3ZEDQLd4XqJSN2ejhfL8lOBkXGQhl1rozJTUGiePYI0MEM0vE88tbLs4quhWmLf3j5J5/Bju6eMIy1zrv56fal4olVrRHCftv13JfPfYwVQIUiuaf/QnW7ajdWpNMYSFIS2EMNK2hUGiYoSQCCSkdhcgzbAypIlSohuEHCOQSGS6v5BpBpZWRCpAkaCBUPl4cYP9xWdoBPMs+tdpR7VtPo+UhGl9bxP8rUirNsfc1KtSXsjC771+1+Oar1+l+fpd9E26aJ+fZuW7a0Vsm29d7xKaFP7EEv7EEsvfPLP+QKWIl1ss/O5r22pnJzAzJj/x//o0hm1w7VsTnP/ty0y8fO8FgjeDlbUYeX6Q5/6bJ5Cm5Ft/7/ssnF8mbG4z9kvAY79wlLFPDJPvTydnIdOCvUIIFi8s8/v/7dcJ6rvrrus5VuHpv3ya4WcHuPy1G1z43ctMvTJ79wO1QkVr1yKkgZnNUzr9HFa5inRcjEwWY/oGjfNvEzVWsCu9mIUilac/QdJuIUwb1dlZhlcSRwghkEbqbi71HkYaFl57Eb+zvHptCBDG2ngrC3mc0VEyT5ym+d3vITMZkmaTaGYb97oF9kgOUPypz5J5/Djm0JrZTAch8ewi7TfeJTh7iXhxGeUHoBRCGhi9ZayBPqzhAexDYwjTJJqeR7W9O7S0Sds//eMIQ6LjmGR+kfpv/THBpWskrfZqbI8wDZwj+8k88Rj5z7wIXZVg5+AYMuvS/sGb6HZnW/Eb0eQs0eTGDmMO9ZN97vQqiXpUIRyHyi/9HNbwwDo15dZ3X6X9w7eIpmbRXncFJCVmXxXn8H6KX/h0+gxefHJXrkNmXayRQTLPPU7+Rz8OWhFem8C/cBX/nfOEkzPoMEJIiXBdzL4KTtfSoz2feHYbZFkICp99kfynn8ccTFdjaE375Tfw3nqP4Oo46ha1aWEYyHyW7AtPUvj8pzGKeTAMjGqZnl/+Eiu//jsEV27sKKas8kt/OiVnKi3hUf/tr6X9t9FeLdwnTAP74BiZx49T+PFPrvZfe98wMpeh9f3X0W1vUytSmHToxHUOlp6lHdUwhEkQt1n2JzlR/TQVdxgvbtCOVljyxwFoRyu0oxXCpMPB4rMs+jewjSxVZ5ScVaETrWBKe0PwscTAFDaWdHGMLAWrB60VjXAL9dcuLCtHubSfXH6AmZnXCYKdV70GEMLAtgscO/rTXL7yh3jeXir2bqM4kqdyqER+MHUlV49WaC942yc5wOwb8yRBQn4gi523yQ1kKY7kN7XsfNAIFue48R//xeq3pZOYqL7M/Ld+P12o3y7qpzXtaxdoX7vItiaULeC1F8iXRhjc9zym6dI/8hT1pWuszJ1f3cdy8himTRKtWeucsVGswQE6b7yFdB2swX6EaaS1q3ZoTbqJjzbJEYLss6dxTxzG7KumJjatiabmaL/0Ov57l0lqDbQXpJHp3cFfq5h4cYWk1iS4NoF49W2EEMQrOx/chGmg2h7hlRs0vvItouk5lB+ue6E6igmuTpA0OyTNNqWf/3zaQaVEZtPA2s5r795TXY+1Rh59P7os5HEO78PeP7LqsklaHbw33qX5te+S1Fvo6JYquEmSktdWh2hmnuovfykNTrbtOze0rYuRq7FAOgyp//43CS9fJ55fQvlBGnR7M04m6RAFAfHiymr8zF1hGhjlEvnPfgyjp4IQAuUH1P/gm3hvnCWpN1OrzC3n0nFM0mjRfvkNkmab/CefxX3sCFprzME+nJNH0WFEeGPqDg2vhzANdMcjvDFF/Xf+OCX6QbBOQ0VHMeGNKVSrjep4lH7+CymZFgLpumROH8d74ww6jIgSn/nOFZROSHSM0BG1YAYvqZOoCLoWmFj5XFp5GQBF0t0GzWBhVURMo/DiOrEKEUjqwRyGMAiVv7rPzeytyeYZCnYvVXeM88vfIUw69GTGKDkDdyU53ScBendsoGmq+CNtT31o0ZrrUJ9o0lnw0FqzcqWGt7wDl5iG8ZenmXlzDmlJDMug72QPL/6Np8n1Ze9+/AeBrcaTO44z9zcfLM2eBQT9Y8+QKw4TBS1qi5epL62VgcgWBjCtLH7nFjKvdRo+UiqhwwCzVEK1OvdMcOCjTnIMA/eJExiVEsKy0Eqjg4DOK2/hn71ENDMPW/mX4yR1Pfj3XtDvpu5FOD6Fd+Yi4fj0hoyTm9BBSLywhH/uEoXPfxqZzaSVwi0Te2QQ782z6PcvQ/ChhFHI4Rw5kMYbCZFO6rU6ndfeJV6qbf6hxAmq1SYKQ/wzF8k+fQrZV73vaxFCgOtgSIn31jn89y4Rzy2uWZFuhVLoUG357jeDdB2cYwcwqmWEZaI8n2h2Af+d82lW1lb9VilUs01w8Rr22DDmUD9muYiwLZyDYyQLyzsjOUIQTM7ivXvh7v13cQXv7CUKP/FpZD6bxraZBvboIN7b7wERGkWk1iYdDSQ6pBNt1Lbxk40m9NtTzpNb0mbjZGsXQqg6+EkLx8jhGBkMYaF0QphsfwJ03RKVyhFUEqK1pla/RhR55PODuG5KRKW0aDTGCYImqkvMKpUjGEbaZ6Uw2SM4Dw5hK2Lh7BLv/LtzaA216w0ib2cDZ9gMCbtdT5qCTI+7F2x9G/z2ErWFi2gVY9k52s05mivjxNGapyP0GzRXxomitRTxaHEptS4XCwg7jcuJl+/PovnRJTkyTXl1jx9GZrsy5CohXlii/cO3SVZqGxQ9dxu6G6AZXrmBf/7yXSc5HYRE02nar3DslOQYBmZf9ZEPFt4NyGIO+8i+1b+V5xPPL+Ofv3rXlYAOI7w3z2EfHMXoreyO8JrW6CCk/YM3iacX0sDeXYLMZsicOp4GkwpB3GwTXpvc1BW5GZKlFaKZOeL5JcxyEQBrdBBzYjrVY9mmy0onCeH1Sfyzl+7ef8OIaKrbf10nDd43JGZvNXXZ3vnobV3P/SBM2rSiJSruCForWtEynW3H5Agcp0ghP7wa9xPFber1CTKZHoqFEYQ0cN0yKglRShEENaS06Ok5hhASrZIPPJvrw44kTFi6tMLSpQdTwXsPKeLIo750jebKOKadJQxaG2IMW/VpRGOWKFxzqSe1NBtL2BbSsonmF4hXavd1LR9ZkiNcF2v/MEalmA62WqP8gOZ3fohqNB84wbmJpN4gHJ8hnt6OSTytNxNOTGNUimlsg5TIYv4DFwr7wCElRrGAc3CN5MRziwSXrm1t1bgNweXraYZVFKUpjPcJ7YdEc0v4717YXXfgTT2cJ0+kQe9AslxL29kB4oVloqkZ3GNppWmzUsKslpG57LpYnjsh1b6ZIZraZmCg1oQTMxjlIjhpUKJRKoDYfjbZg0KkAqJwfpvuqfXQWhNFHpNTLxPHPrncIENDz9NqzbKwcIaFhTMIIenpOUHGrRInAVHUolBISdHc3Dt0OgsUiyPkcn0P4O72sIf3GxqlYkJ/8zCOTnOT2NCBfoxcls5b76CjmNyzTyFsi6R+b3Fu8BEmOTLjphPiLSt27Yd4b5y9Z52Ue0FwdYKksRMdAJ36KLskTAiR6qF06/V8VGFUihiVEtySeh0v1wgnd6AjpFQaa7VURw7d/0ST1BsEF67seryTUcxj9vekadhdqHaHaHpnGQjK80ma69VEhetg9lQIt0lywmsTxDsRFCS91tU0YyEQGedDQdL9oIZSMUniE4YNXLeEabr09Z0mnx9CJRGuW8QPGohOau1xnRKBXyNJApSK8Lw9C8MePrqIl5aQtkXl534GtMa/eJl4cc9ddU8QtonZV1n9W4URSaOZ1sl4H03GydIKOthhXM/trpcPwQRxv5C5bBrncQtpVR0fVd9Z6qNqtu+7VsrqufwgjY/ZZch8FqNaWnev9sExKn/hT+8orkfkMhil4vrfTBOZ2X4V6Xi5vnmc0R1wuxjd7XpUjyosK4cQBlLamGaGKOyQyw1iGDa+t0ytfr3rmkqzcLTWRHEasyOliRAGlvWQBq9uA9m+DJUDJSqHShRHC9gFC2lIdKKI/QS/HlCfaFK7Xqc+3iRobO2+1UqDSPVh9v/IKKV9BTJlF9M1SCJFe8Gjdr3O8uUVli7WtjxPz7EKg0/1M/RM/6bb3/61c9TGG0TtnZUP2U3YBZvSWIHRjw1RGMxhOAZaafxawOw7C8y9k2Za7rb2zk1Iy8GpDhA1lkkCb0PRzgcGISn3HKLSf5xr5/4gvRbbRmYyaUxlFCMzGaR7f1XtP7okxzCQhTw3g/x0mJZO2K5rY7eQtL0dW47W+e0FXc2e3b2uRw3SdZDOeheTDiNUZ2diYioIUdvUirkbdBTvGmG6FcJxkNn1k6FZLWNWy/d/bilTPZttQnU6acbajqDXQmxu9t8PAQzDJp8fQKkExynSbKYaL4a0SEuECpSKMbrWRq0Vvl9DGja5bB+GYeM4hQ/wDu4NQgoqh0oMPNFHz7EK1UNliqN5nKKNMFIF5NiPU5Iz3mT8+1N0Fr07khxpCtyKw/7PjHHox8YojRVwuyRHJV2Sc61OfiiHijS1G/VNZaXsnEVhKEf/qR4My0gzomwDK5P28UtfuUZzpsUHRXGyfRmqR8qMPDvI6MeHKAzlkFZ6j2EjJNuXwcqYWFkTFT0YkmO4WcqHn6B++W38OHrfSI6UBpl8P9WBx1ZJzk3xv2B8Ym3Bdp+LoI8syUEaSNdZJQc6inc8Ie4GdBjeV3rcHlKkiq63dec43nmwbxzft8LmKpTatrjeTiAsE3mrYKHuKr7spGbaFtDoHZEOHUT3XCbg/YJt38xYFyil8Xf9M9donaCSiJ6e4xjSQqmEG+PfQamYQn6IfH4YxymgVESchGit0Dqh01kgSSJK5YMUVUIUt4njYNvlPDaHQEgDaRh0WWT3d4VSSTqJ7ZK1WkiBXbB57BeOcvjz+3GLDipWJFH6D2HavDQluf4c+cE8jakWEy/d2Y1s5Sx6j1c5/jOHEVKk54wVcSPBcg0KQzlKowUGnujDzlm8/v99h9jfODl3ljwW3lvGzJg4RRu3ZJMbyFE5UNqV+78fCCkYfnaAgz+2j4M/OpbeY5AQddJvyspaHPiRUaqHy3SWPJLwwZAPK1ei76nPEKzME7ZqqOjeM4Z3AiktDNPGMNcWp1opklod/9IVdBThHNh3D4uo9fjIkhxhCKR7y8o/SR7IhHQ36CjesWT2HjaBuaamexNaKXS8s4FBR/H96Q2tO5l+IO9WWGaqgH0LVKtDsly773PH88s7cj/dLJHxMONLX8rw+GmLSkVy7VrMP//f27Rau+eSjqIOi0vnWVw6v+n26ze+dcfjr179o127FhC4+R4q+56gZ/8TONkKwrDQWhG2V1iZOsvy+Dt49dld6Zul/QWO/+wRTn3pGAhoTDaZe3eRS39wjeXLK8RhgmFJMlWX/tN9FEfyzLwxT3P6znGIw88OMPB4L96yzw/+8RvMn1nEW/LRAsr7ijzzXz3OwON95AezPP7nT3DpK9doTDY3EJ36eJP6eJMrX7sOAjIVl8M/sZ9P/g/P3/e93y96T1Q4+WeOMvhkPypS3PjeFG/+qzPUJ5rEXozpGOz/zBiPf/k4Q0/3I82H060rhNF1OWvUDiqdG4aNlOvV5XUUYwwOUPzxz9L45ncQpgX6/lYlH1mSg9Lo6JYPYodm+j08ZEiSjRlxQu7c1HmPVXffT+huiYpbEVy8Ru03v3rfWYE6SkuKfJhw8oTF7Izin/6zFmEInc6HN0S/9+AzVEZPke87hGm5CNktQYPGLfbRn/k4uZ591KfOM3vhT7if1Hy7YNFzrMqxnzoEAqZ+OMvVb4wz/r0pgmaYWh60JkIQtiJacx6GJYm3qUvTnuvwvX/0GgvnFok68aoWTX2iyVu/epZTf/YYx376ENKQDDzZR9gKac3ewT2clh58KBI0hIRjP32IwlCeyIupjzf4wf/ndTpLfve5QeTHjH9vEiHhwGfHOPijYx/0ZW+Ko0/9WWwnT7s5y7Wzv5/+9uSXKFT23fE4ISWmlUWrtf5gDw9i9fXROXMO4dhYfT0IKYnmF/YUj3cKrXSqzKpJ62eYRlpfZw+PJHScbHAz3RRL1DuYs4VpprXJHmbEyXoTrhDdOlXND8Tl+jDCNKFcljz5hMWRIyaFQsKpkxbTMwm1muLQIYOxUYN8XmKagrffDpmbV7Tb6RT4Yz/qkM2K1EBoCr79nYBaTXFgv8GpUxYLC4piUVCra+bmEq5de39j+TaDU+gj33eQfO9+7MztsT1p0VdpWOQqIyShT3buMp3avdeGKgznqRws4VZSF9XEy9PMvjVPe/52oqFJQk2yA9exXwtYudZg8b2lDSUXVKSojzdpzrQJWxFuySHXl8VwHp3pTEhB/6le7KKNv+Izf2aR1kx7vRdRp+KF82cWKY7kOfCZ0bRO1gO5IEF+33GsfJlkh+4qLRRR2Ca+pTyDm61iO3n8zgoq2dzdJA0TKa11CRTCtLryHQIjm8UoFEm2KPmyXTw6vWK3oZLuijVlOcIykTm3W8/jYeD6e9gJdBhtyCwSlpWmWe8gRV841s4ryb/P0GG0waUkLAuZy+2RnC4MA/J5wcnHLCpliRRw6qSFEDA1mXDyMYvHH0//LhYkSmnEmYgrV1Oy8thjJuWSJJsVVCqS6zdi3ntPc+yYxc/96QzffymgWpFMTSuSRD8UJCdXHSFbHsLOlu+4n+XmyZT6yfcduC+SUxotUN5XQAgIWhEzb85Tn9hZNuNW6Cz5rFytbRmcHPsxQT3Arwe4ZQenYGM8pO6cDRBgOgbF0QKWa7KyEjB/dmnLaac53aI53SL2E6zsg5qyBfnhw2T7xtA7jAer/eA7KN9bJ+oHEHg1lufPEweby1GYdoZCZT+54uDqb8r3Ub6PkcuiYxtNarneIzn3AB1GJEu11b9lxsWslBG29YHE5uzh/qCabVSrvZp5JoRAZl3McpFkfvs6CzKbReYe7jTepNUmXqlvuFdrsI94Ya+oI0AQwPXrCf/0n7c4sN/gytWY//1fpIPtk09YDAxIZmYSfvXXOhzYb/Jf/BcZslnBlaup2e9//5V0354eyYsv2Hzi4zZTUwm5nKBYEHz96wETk8n7nYx5RxQHDmNlinffkbQ4YnHgMPOXXuZeHTj5oRyF4Tw60SxdXCGoBbuWAeQtedRu3Fl/KfaTVSuPtCU8IhzHsAzyg2lBTyEFYTO8472qWBM0I9rzHcoHtvd+7wVxu0HkNXcUVwOwOP0uibdxIdlpzTN7/RXCLQrWWk4erfU6khNcu05cq5E5eQKjWMA7f554YXFnN3IbPrIkR3k+4dXxdQxRuA6ZJ0/ivXnmfRUE3MP9I16pEy/XU79tNw7HqJaxxoYILl67y9FrMPsqGLuQiv0gkaw0iKbnIYxWK3ob1TLOqaN4724e/LqHNezbZ3D6lMXoSPpfKaFeVywtKYSAfA7+5t8sYJoghaBalUxMJEgBcaxptTXj48luJLPtKpx8D4a1PZe7NG3cQu99tWfnLKychdaa9nyHZBd1XGI/Jmhuf7H5KJU0FYbALtqroX9JmNwxnR4giZIdPY8dQyuWzv2A5vgFos7OrHE63nhd7cYMYdAkjraOkVJxtFq/be1cMfHiEs3vvZx6Ve7TigMfZZLjB4QTM6iOv1bs0rHJfeyptI5U3N5zWz1KSLqFNqfnsEaHADD7qjgHRmlJua2gNXOwD6NcTKUFHmYohWp38C9ewz11FITAKBVwjh7AqJRI6s2HPuPpg8TiomJmJmFlRfFbv5O694JAs7SksG148kmbINC8/npEs6l5/nl7LSdBp9ndDxvBATAMC7HN8hhCSKRxn6VLhFiNEVG7XKBSKz60RS+FYENsjb5bh1IbRTR3GzqJUXG4KWnZKWbHf4hSMeoOmjuJimjWJpm98cPbLkTvql7dI2LgewCIk7TuztTsqpaKsEzs/SM4Rw+mtXUe8iybPayHanUIr69V0Ja5LOZgH9bIwN3fpZQ4xw9hlIsPf+AxqZqzf+5SGnCtNcKxMXuruI8fT91tO80qs8w0kOUjoJ49PZ0wPaOo1TS2lRrDokgTRxoh0seQywoyGYFhQhR+OCfb+13E6UR1J16B6Ri7U9R2XQO7e7qHBVqzzq0nhMCw7vK9yjSR4lFBpzmH317iji9RK7zWIsvzO6u5t1M8Ok/tAUBHMZ03z5I0WmilEFIiSwUKP/4JnKMHkPlsOvhv9vEKkU4kpoGwLUTWTaPCH6GO+GFDUm/iv3cFEoXWGtmd+HMvPpVWmt9s4hcCTBOZz5L72FOpavAjYMFTnQ7em2dRbQ8StVrDrPiFz2CNDiILubTvbkZabu+7GRezr4qRzz20QdfSsDAsFyFNduqYaLc1nr/2Tm+MJ4yPJ5gm/Pk/n+XP//ksn/qkw9iYSRTBxUsxfX0Gn/qUw49+xqFYknh+ahwLQmi2Hk4rWRKH2w4a1Tohju8vSD3yYqJOjBCQ7XGR5oefIO8GdKIJW1Gazq410pLY+Ttb1QxTYj+goGOtFEngpbE4uzb2CYSQCJlmUElpIbqlS279fqOgSas2sUttbo6PrLsKAKVof/sH2KNDCNPE7CkjhMA5dhBreIBoeo7Oq+/gn7tEvNKAKEo7gRAY5SJmtYzRW8EeG8Z9/Bjt772G/95losmdFUrcw+4gqTXw3nmP8MYk1tgQwraRhRyFL3wGYdu0f/gW0eQs2l/LTDLKRewDoxR+4lM4h/evZdc97Fa8OCFeXKH+O1+j8PlPYw8PgBSYAz30/dVfwj9/Ff/cZfyLV0nmFtcKYkqJzGcx+3ow+3uwhvpwDo7hHD1I7Tf+AO+d88TB7tfbuh8YpsPAkU/SO/YU89d/yNLEO0RbVDbeDH/vH2zc99vfCfj2dzZPlZ2ZUfy3f622+bY/9PnKHz6cGWxBawm32Ifl5O66bxIF+PW5+2qvOdOmMd2i71QPvSd7cEoOcrbzwGosfViQhAmNqSZJkAr+OUWbyuHSao2q2yFkWt+qMJx/INfjL81w+Tf/GXG7QRLtTtyP7RZxcz1kc2l/1FoRRz6hX6dVnyb067vSznbw0SY5pPoqja/9CfHSCvlPPofZV01XxbkM9oFRrME+Cp//dCrRnySgdOrOkBJhGGDINH3XsREPq5igEMhcFmtsEOk4qWKubSEcG+HYSMtM3XO3WDqMUoHMM49jlIuobnq2jmJ0GKRS/kGYuvumNx8ojUoJo6eMzGaQtoVwnNX0bOHYGMX8OquBMA1yn34e5/ghtO+nZTbCEB2Ea+212kQTd5aD12FI7Te/SuXLP4s12IuwLDSa3MeeIvPEcVTbI2m1IY6RuSwim0mLwOUyqFYH761zCNch9+JTu/LoHyi0pvPau0jHRj35GO5jR9LfMy7uqaM4R/ZTCD+d6uokCTe1Ulb7rmmk5TAsK1WLfkh5XRKHzF/9AZl8L3H46AkVCtfGHhsk9/HHWf43X3lglsLG3GWylWHcfM9d9w29BiuTZ7kfn9DS+WUKQzkOf24/dtbi6E8exLANZt+cv+dzflSgYsXcmSUGTvdSGMqz/9OjnP/ty5u+jp5jVXqOljHdB2TJSSLC+lJqBdxB3xSGRfHgSZrXz6HiCCFScb99x36cQmUflpNHSgMhZHpbWqG1IolDVubPMzf+Gp324joxwAeBh3RWfn+RLC7jv3sBHcVknz2NNTrUrQ9kg2NzM0JDq1Qyc0vfqNYPpatDmAbmQC/5Tz2fBtUaBhjdCc40EIaREp5brBcy42CNDmAUc6nCbqLS0hdxDHGCCiPCK+Nbkhz7wCjuiUMYPZW1ulJGt62um2Sda09KnENjWEN9q6UCVgX+kgTV8Ynml+5KckgU0cQMnZffwD19DGv/KEYug8hlkdkMupxghmHqnrTt1fgb1WzT/v5rBNcmsMaG7/uZv1/Qno9/7jLKD0haHdyTR1Ji6TrgOrf03XR1vVnFb601yvNRQbh7dbt2iEy+F9MdwrSzaKUwLJfW0nUCr46KA+Kwk4qKbRJQbWfKZEsDGFYGIQ28xhx+a4kkCqiOnErrOEkDrRW1uUtd3Q6Naeco9OxHmjZCSEKvgdecJ/IbFPsOYdrZVHZeQH3+MnHQ3rGGCABCIhwLs1JMieQDGiLay5N0Vqaxs2WcXGXL/bzGPK3F67RXprbcZzvoLPvUrtVZOLdE36keRp5LU4Gdos3yxRU6yz5aaaQhMF0Tt+xQGMrh1QKa0y2C+kdXqkMrzeQPZiiO5CkM56keLnHkCweYfm0Ov56m4gtDUN5X5MBnRhl4YvMq6rt3PQl2sQe3OoCZySMMkyT08eYnidr1dfWspOXglPvIDh2guP8x2lNXUEmCkynTP/o0pd7DJHGwmmGVRH7q/TAsTCuLk6lQ7juK1pqVhYvUFi7zIAOwdkxyvvvd7/KP/tE/4vXXX2dmZobf+q3f4ud+7udWt2ut+ft//+/zf/6f/ye1Wo1PfvKT/Mqv/ApHjx5d3Wd5eZm//tf/Or/3e7+HlJI/82f+DP/4H/9j8vkHY467G3QYEY5PEy/XEFKgE4VRzCNduzsRmqmVQwiQIp0wktSyo7vqs6rjk9SbqOCDqmd7BxgGZk+ZzJOPITPbK1svLAuzUoLK5oXsdHRn/6013I978ijW8MD22pMSs7e65XbV9jAmptmOk0K1PdqvvYOKIjKJwhruTzPoTAOkgchmEIlCxzGq1UG1O4QTM7S+/zrK85GFfPqOH3aXVRfR9BxJq01SayIsE2ugD5FxELaFtLpksktutFJrBDKK0VFqJYsWlomX66jwg+m/Tr6HnNWL7RYJOjWcXBWlIjQav7m5GR9ASBM330Ox7wjolBxJI7UQtmszZIqDSMPE7BIgv71CO/LQKsFy81RHH++SHoE0LCK/QRL5FHoPYZgp8ReGRRx2aC7dSAfs7UBKzGoRpEjfQ35Ne8koF1Krr0gta/FyPf2epMTIumilUJ0gJXSmgdVXIZpbumtKV9Bapjl/LSV7AwLDziKluUqsVBIRB20as5epz1wibK9s7162QOzFaVXx701RGMlTPljEzBjk+rJMVKZpTDbRyc2YE4vCYI6eYxUWzi8TdeIHTnLMjImVMTGdNKBeGgK37JKtro2B+YEs/lgBp2CjtU4rpgcJsZ/GG90KIQV2Pk2bF1KkAcO2pDCUR3SFCA3HoLyviN8I0IlO172JJmyFhO1obS7XMP3aLMPPDpCtuuT6sxz/mcMAtGbbxH6CtCSDT/Qx8vwg+cEsnSWPbG9m9x+UEBiWQ2HsKLnRo9j5MkKaJEGHhpunPXOVYGUOFUeYmTxOZYD8yGGKB0+mhEgamFaGbHGI/rHnSOKA+tIVWvVpvPYiUdDuBle7OG6RfGmUvtGnqA6cSK3RjVnCYHdEJDfDjklOu93mySef5C//5b/ML/zCL2zY/g//4T/kn/yTf8Kv/dqvcfDgQf7u3/27fOELX+DcuXO4btq5fumXfomZmRn++I//mCiK+OVf/mX+6//6v+bXf/3X7/+O7hVKoRotGl/5Nq3vv4FzeB/2gRGssWGsgd50krRMhCFRYYxqtUnqTZKlGtHUbBrLML9094qpWt2SCniPlp9u4UedqO6kdfeCLPqWY3YDWt3FtKnT1cqutreDvN1kqUbr26/gvX4G96mTZJ86idlXTV1Ujo3qeMTzS4TXJwkuXcN75/xq3SfV6qRkx3W7z3a77a6/X72N97JbUI0W/pkL+Gcv4p46ir1/BGt0EGt4ICXsjt0t/5CQdDokiyvEC0tEswsEVycIr4xvL+1c3/5O76EPa732Hdzsw6Tv2G8tMnX+m2TLw/SOPYWUxh1JjpvvxclW0Cpm4uzXcHIVesaeojJ8ivbKJFPvfb27X5VcZZRS/xE69Rm0SjBMl2xpkAvf/1WioIVWCUKa5CujmJbL8tQZ2rVpnFyFsVNfxG8vb5vkyHyG8s//KMK2UGGYpnZ366IVfvQ5rMGe1Fqcz7H8G39ENL2IkXXJPvcYquXReesiqu1hVor0/JVfYP5/+9eo9t3bXrrxFu2lCTr7Hqdn3xPY+SpSWigV49XmWLjyCo25y4Sd2rbu426oTzZ559+fJzeY5cBnxigMpZaJgz+2RZ0lnaabz7y59TvdLfQerzDweB/VI2XMrImds7BzFplbSM7jf+EEfi0kakfdQOqIpUsrzJ9d2uB2s/MWY58cZuS5QaychemmJCrbk8EtpYHDhcEcn/qfXiBoBsReTOwnBM2IiZenmXxlZl3druXLNS7/0TVUnHDox/cz8sIgIy8MkoQKlSgM20BKwcJ7S8y8MU9QDzj1547v+nMyLIfc0EGGP/VzACSBR+y3yfSOkBs+zPK5H7By4TX8pRkqJ56jcuIF7EKZ2Gsz99rXSUKfUuUAPQMnsOwcF974D3SasyTxbTFvHnQas6zMX6JVm+TAYz9JobqfSnuBufFXd/2+bkJofe/+FSHEOkuO1prh4WH+9t/+2/ydv/N3AKjX6wwMDPCrv/qrfPnLX+a9997j5MmTvPrqqzz33HMAfPWrX+WnfuqnmJycZHj47q6CRqNBqbS5hWHXIGW6CusOToYlcLIGliupz4fdyUunqrNKpxPENh6lsK11FgJDKNxsGuzaWtmmq6DrYlqF1htKGmx2P7seM6TU1qKJhpG69XbTGqL03Unkptciu4UKWX89N6uE33x/N3HLs8rvKxOudAgWU0VPYUqsvINWiqhx20csxfrsJKXRSdyN45Lkx8o41Szt6QbebOPBESApusVJ09XmhnegSe/9pnt1m30XUgvfrRlbOo53SATZtP+WqofIFPrS+JtrP8SwXPad/in81iIzl74LwMGnf57m4nXqC1dWA4/LgycoDRyl0HMAvzkPCOLIx2vOsTjxNvtOfxGdRAjDwjBtgvYK0xe+TRIHGFaGfHWM/gMvoJKAxsJV6vOXKA0co+/ACyShR9IVMwv9FrNXXiLs3N36YZQL2GMDZF88zcpv/HGqYXRklOwTR5n/p/8h7V9CIBwb9/QhrJ4ynbcvEc0uYhRzVP/CF1n5v76OThT26AD2vgEaX3357t/4KgRCyjVidctz1iq5N5fb3e7ZlvSd7GXgiT4Gn+yjerRMpuoihCCJEsJmWjxz7p0Fpl6bZe7dRaLW+vux8xZ/6at/BsM2uPatCc7/9mUmXt667MSxP3WIk186Rv/pHs7/9mXO/sYFli7VVref/IWjHPqJ/Qw93XX1iPRft+rUaKVXlcNvfo/Tb8xx7RvjnPvPl9a1lx/M8sx/+ThHvnhwLeVb0P3G0v+mi8nuybrni/2Yc//5Em//m3P4tdvKsRiC/GCOgcd7OfGnj1A9XMbMmKhY0Z7vcPXrN7j2zXG00gw9O8in/qfnufy1G1z43ctMvbI7CS5OpZ/hT/wsTrmXmZe/Qnv2GioMEFIy8MIXcXuGMJ0MKonJ9I3Qnr1O48Z71C+/TdROBVhHD3+G6uBjeK0FLr/7O3ePsxGC/cc/T748ShIHnH/t397TtdfrdYrFO6tA7+qsd+3aNWZnZ/nc5z63+lupVOLFF1/k5Zdf5stf/jIvv/wy5XJ5leAAfO5zn0NKySuvvMLP//zPbzhvEAQEwVrnaDS2n1lxz1AqFWAizUqRUmIbGscyqO2w7EO2aDB0KMu1d5ob3AFG1sDNGaDZPsmJUzfZjqDUpuUqxk7k6DRjlqeD3Q0nSpK1jJ4PGskOLVi3PKue0wM0riyukhxpG5h5GxUmG0mO0luXBOladYyMRfmxfvz55oMTO1MaSCDZfR51TyTzdmzSf7XWSPNmijhYboEkCTeuBm9DFLQJO3U61hxzl78PgFIJQkjylVHi0Kc+dxHDssmWRpC3xCSpOKC9Msl02CFf3Yc0HfI9Bwi9BkFnhcb8WgHLJImIg+3VQBOOjcxnSVYa6CBCNVqoejt1Tzk22WdOYORSt4M52IPygnRBECeoto+OEmTXxWUN9eC9e3mH33uXzPD+fX9JqFi+vEJ7vsPUqzPYOQvDTomsVhqVqNSq0Qjw6+GmlcgjL+Zr/+N3EVLQWfRozW1e8+gmpl6dpTHZxC7YtGbbNGfW7z/+8jRLl1ZwSjsT9wzqAe3FjQHu3krAmd+4wLVvT+xIE0grnRYTbW/8dnSi6Sx0Vu/FytlIIyVLiZ/QXujQ6V5L9L0pvjrbpr3QoT13h2rrO4Q0bZxKP83x8wS1eWKvTZepUb/yDlauSKZvmKjdYP71b9CevU5QWyRuN1YXh4adQRo27cbM9ki01nitBdxsFTd3f8rbd8OukpzZ2ZRZDgysj8MYGBhY3TY7O0t///ogKtM0qVarq/vcjv/1f/1f+Qf/4B/ctf2+fS6deozXjFEahg9nqc0H2K6k1GdjWJL5Gx5+K8G0JX37XKQUtOsR7XqM10wHheEjWSxbEMeadj2mvhDSt88lWzRXlT0rgzZOxsByBKYlWZ4J8NsJmYJJqc/CMCXz4x5KQe+ww4mPlwgDRXM5wmvGBJ1UQn7oUAY7K/Ea6Udv2oK+MRfblSSxZnEqIFswsF0Dy5GYlmBpJqBdi0ni9VOYNCCTN6kM2himoNOIadVivFaCZQsGDmSwHEnoKVbmAoQQHH66QKcR42QkzeX02ZUHbLLFtGssTgb4rfiRF9DNjZYwMqmVRYUJwpR0phtYeRu7nEUI6Mw2UUGMmbVwBwqoICY7XKQz2/UXS0FhfwXDsQhqa4Ngfn8F6ZjoRBE1fMKGT6Yvj5lzQEB7sk7SCUmiNIDbqRS6K+yHL0j9g4Rh2kgjT6H3IJlCH5HXIPRqGKZDptCP5RZwC71EYQffMAnay0R+Skgst4A008lMR153oBWYtothOaklTytWpcGExLCzZIuDaJ2kcTxdN1rQXiby6oDunlOTRD7bN3rr9J/uCn/tv2D2lrEGqunEX2+lWiI3t5NaxqLpBWQhh9lTQmZdotmlR0LBOmxFhK2I5j3W/NSJZuKl7R/cnu9sUvF8Da2ZNq2ZOxOlnSAJEpYv1Vi+xVq0K+cNFd6Sj7d0Z3dka7ZNa3b37ucmhJSYmRxBbZ4k8FYJDoC/MkcS+qA1/uI0jWtnCGqLqNtUkaU0kdIgDFrbtupGQQuVRJjW9uJE7xWPRHbV//w//8/8rb/1t1b/bjQajI1t9PkefqrA3HWPuWseUah4/DMVznx3hUKPyfEXSuTLFq9+ZZG5Gx6ZgsnTn+tBAJMX20xd6uA1PUxH8PiPVHBzBp1mzOTFNq3liP0nc7h5k5XZdGV58HSeUn9KBtycwcXXGkxf7tC/z+X480VyZYsf/sECfkcxeCjDqU+UCb2EyQsd5q77BJ0AacDhpwvEoWbuhgcCClWbkx8vk6+Y+J2E916qM3DAJV+x0rayaVuX32jgtdav1Cxb0jvq8NSPVtHA9JUOkxc6+G0PN2tw+tNlij02zeWIcy/VSGLNseeKBF5CJm8w/l6b5Rk49myRgYMZlNKc/ZMa4+fbhN7DP8jeCb3PjuFU0+DPuB1i5mymvnGR/L4K5RMDIGDhh+MEi23cgQJ9L+wjWGxjuGvuJ2lIKo8Pk3RCVNcyJG2D3ufGsIsusRfRuLJI8/IildND5PdVEKZk+huXaF5dIvEjovZHN6PkbhDSwM6W6R17CsvNM3f1FbzGPKaTpzpyCsvJky0NdYUBHYL2CqFXJ2gvkSn00XfgWSDNHvLqs3jNBWy3SHnwBCoOUCpBxT4ajewGLPcffAGVhEhp0lqZoL0yRdBZIeiskC0NUeg9CFrTmL9CPHeBOLy7tVUHIarlYZYLyKyLUcgiC1kQAnukP3V1TswTXJ1K5SeKtxSEVRr/7BXsfYMYlWKa3ODd2Zq1hz3cF4REWhZJsLY4uAkVeugkIvba1C6/jbc827UU32rJ0ghhrAr9mZa7vQWB6AZvGw+Whuzq2QcH0xTCubk5hoaGVn+fm5vjqaeeWt1nfn59QFccxywvL68efzscx8Fx7m5ynB/36Rly6B1xWZjwiYOEdj1icTpgeTbk0OMFDj9TpGfUwW8lzN3w+OHvL6wSV8uVnHixSH0p5M1vNJm/scasL/ywzsjRHNWh9DoKfTatlZhr77SYu+Hxi//jQWavelx7p8XybMDB0wWOPlfine8sM3Wxw/TlDt/8d7Mk0drLT2J497srHHw8T75sYhiCT32pnzPfXWFhwsewJD/3N8aYv+GzMBlw9e0mCxM+f/Z/OMjMlc4GkiMNQSZvUh50+Nd/7/KthJzmSswPfn+R4cPZrmWpzB/9yylmrnSYvuLxxh8voRX8yC8OYNqS+Rs+rVrMj/+lIf7T/3aDpalHeKAVkNtXZvntaeJORH5fBemaDHz8ACpK6Mw28Bda7PuZU3RmGrTHV5j+xkU60w2O/fILCKNbnydKmH/pOpXTg9gFB2FKep4ZJWr4LL0xSfPamoje/A9u0Ly2TP5Alb4X9tGZef/Erx5VBO1lOvUZFq6/tmHb+JmvbnlcuzZNu7a5BeDCS7+65XGtpRtcXrqx6ba5Ky/f+WLvgKTWIlAz5D75JNVf+klUswNoiBOCK5NknjqOc2QfmWdOpBlunVtW8FoTXJ0i+8IpdJwQvDd+z9exhz1sHwJpWhhudgNBEYaFkBLDcTAz+dVEgZtI/NS6ZLtFhg99kr6RJ7ZFciw7h5Mp86AFunaV5Bw8eJDBwUG+8Y1vrJKaRqPBK6+8wl/9q38VgI9//OPUajVef/11nn02XXl985vfRCnFiy++eF/tT7zXYmB/L/sey9M76vDaVxcZOpylULVwsgbNpQgpwXYMIl+lLqJb3oUQ4OZM/FZCHN7ZciEAv52SqChQCAnHnisSRwo7k7YlusFoCr21BU+vP6ntSOJQEwUaaWhMKzVl+62Ydj1Of5ds2S/iUNFcCted18lKHvtYiWKvjddKiEJF/mbgHeuti07WIAoUoa/wOwnf+Y05WisPYVr8DqGiBBWp9L9hKkVvuBYqUiR+jAoTJr5yjvxYBSEliR+T+FEay7PFyxNCYGVtYi8iCdcIZ9/H9uOUM6A1sRd2SdKjkY6+h92BanVY+fd/BILV4otCCpJmh+V//9VVqYp0Z426RYUbmcbuxMuLBFcerOT9HvYAgJAMvPiT9MfRBoJiulmkaTH0iZ9hYJOYvCu/+c9IYo8k9rGdPLad3bDPVm0KIR5o+jjcA8lptVpcvnx59e9r167x1ltvUa1W2bdvH3/zb/5N/pf/5X/h6NGjqynkw8PDqxlYjz32GF/84hf5K3/lr/Av/sW/IIoi/tpf+2t8+ctf3lZm1Z0QBZrAUyilyZVMGksR/fsyFCoWxV4Lw0gj6+uLIaGXcPCJAirRNBYjagsh7XrM7DWPk58o4eYMVmYDGksRzeWI0eM5Ro5myZcthg5nkIZAKY1KSN3vgO1K3LxBobrWFhqiQFFfDHniMxXmrnnUFkK8VkKuZHLgdJ7hI1lCXzGw3+XG2RYjx7IMHnRRCiYupD5nrbr/3IUhpwVcb2PiQuBkDHqGHdqNGBWvZRQ0liKKPRanPllm5qrH9KUOg4cy9I46WI5kYdL/cISO3KJPcfMRNm8sYxdcskNFpGXQmanTmW1g5R16nxmlPVhAmhKtNEIKrIJD6UQ/+f1VwpUO7ak6rfEVep4ewSo4ZPrzBCteGtPTm0NIQdhIn59ddHB78xSO9JAbKZMfK9OZaZD4H4z43sMGv7lAHLTuWLX4kYLSJPXNA5XVFr+LjIP1/2fvP4MsS/PzPvD3Hn+9TZ9ZWb6qu6rtTHdPm3EYYCgQIERAEH2IJlbaDYkftBEr7mpDu7HaL/thtSEXklYSVyK1BEQSS4IgCAIYzADjp3u6e6ZdeV/pzfXm+PPuh3PzlsvMe7MqMyu7O5+JiurJOnnPOe89532f92+eZ6KMeWyKqNEhWK5sXch+iEPsEkK3S/P2xcf+fRmFVFeu4Nr1xzv/Lrieb4cdk5z33nuPr3/96/3/v1Er8zf/5t/kH/yDf8Df+3t/j06nw7/37/171Ot13nrrLf7oj/6or5ED8Fu/9Vv83b/7d/nGN77RFwP8r/6r/2oXbgcaqx7Lt2xMS8FzoriouK6hmwphEFFf9Vifd4hCiaYJSlMmUoLdDmhWJKt3bM69kSNTjGsxwkDidEKslIqiCnwvIpXT+gXEgRchJazOOTTWPIyEgm6I/rlcO8TthCxetylNWbSrPp1mgNMJ0c2YFEkpiUJJIqNx6+M2597MkyjrON2Imx+2KYwbdFsBfu9ca3POppGmKAKnG1Jb9h7gJVEoadV8us0A34nwvYhOPV5cV287lKZMihMm9RWP+asdUnmNwlhcNBsG8tPPcSTYqy38lkvo+Hh1G9vSaN2okJrOo2fM2LIqiOhWm1jlFKmZPJEfYq914i4qRaAYGlrKiPWJAC1p0LpVofjiFEbW6rWMR/gNBz9joZgqkR9hr7URqoJqaai6RuQFaGmzLyB2CPp1MJ9nCE1FzabQp0ZxLt6MC44/9S/fIQ46ArtD/drPH/v3I9+jZd+hVds89fu08UQ6OU8LO9XJET3B13CTTbOiwmabR6HE0ZmdNjVsdy5VF3FH1HA1Wb1Q987Ovx1ULb7Xh7/x+JrFg91aPaPqz8rGeiBUAeGD97+jBUbpdcj0PiO2/pB71yZ+iEMc4hCfc+y7Ts5BhYz6YraPYKtFXEaPt4na7lz3Fx0P/JxeF+puYjPiBRvX/NDJ5OeI4MCDBAd2PvYPjd9uKT0f4hCHOMQhHh+H8fJDHOIQhzjEIQ7xmcTnIpJziL2HUFQUzUTVTTTdio0SNQOhaiiKhlDUvsx8nAmS9zy4ZEgUhcjAJww8oiBWug09m8Cz+bwUJmyMX/wn0RPH0xGqhlC02ArgPql+KXtmm7L3Jwp7Y+chQ58o9AkDl8DpIuVwYTlFNdAMiyiK+m7dw0H0vmNBFAY7+L3hoWomim71xsfafHz6rYcbliubj0/UG5/Idx/fXfwQnyoIoaCaSTQ9gWok+s+QULQHbTCkjJ8HGRGGPtH9c5Jr4zutz8zzsqE5pZkpVCPZe6d675Oi3nufemMio/DeuxN4BG6XwO0QBi7ygIb+P8MkR6Bb6aG8kza+NLlVPucpQyha/DIOIZokozB+4Pb4XoRQei+BilA0NDOJkcxhpotY6RJmuoRupVGNJJqRQNOteDES8UsjiV3c+y9L4BDYHTy70VO6beA0VrGbq73vJ0BGwYF9kR4H98ZQQ1E1zFQRM13ASBUw0yXMZK43+fQmZUWLnwHRcxQPg/7YRJFP5Hv98QvcDr7Txu3WsWtLhL4bj5+MemPZawu8/3oUFT2RIZEZIfC6fbfuoe5FUdCNJELV8OzmYO+aoT5T7Y1Rb3zSRcxUsTc+RcxkHs1MoRkJFMPafnxCnyhw8ewmvt3Ed9oE7sb4LMeKxlEYE+4w3HR89hxCibVKtJ3ZEDwOZBQQeE6/6E+oAkVTYndtRRD6ETKIkFKiJXSEgCiIiIIIGUk0S+sTgiiURD0JBcVQ+75OoRv2OxNVU+3/jJ531Maf/uf2UsaxQnW8yG6FwOv2bGMGfEe9d0xRdTQzSSI3hpUZIZEdwUyVMJI5VN1E2SDMihI/B725yXda+E4b327Ez0pjhfb6HKHvxGvGp3BOEr3nTKgGRiKLmS6QzI1jZccwktneO5W8NyYbnlyhTxC4BE4b3+0Q2E269WW69SXcTo3A7fTeNe/xjKf3CJ/JwmMhFDQzzfO/9n9E1QwGaZRU5z6icvvn1OY+3uUr3R3kJs8y+ezXyYyeGHhst7bA4oU/pXr3wz28IkEyP0GyMEGqPEtu7CRmutj3HdpNRL5DpzpPu3KXxvJ1msvX+KxEdlLFaVLFadIjR8mNn+6R8j3IIEuJ26nitivYjRWaKzdord2Ko2T37UjT5VmsTBndSFJbvITbrg69Y1V1i3RpBtVIxurAznA+T9shXToSj9HILLmxU+hWZqhNy04hZYTXruK0KziNFZqrN2mu3iD03d2t/B8AK1Nm5MSXmHj2q+y1rlJr9Sa33/td7PoSANmjeYpnSqRGUyTKSZbfX6R+o4bf8Tj7l8+j6gr1mzUql9axKzYn/8JpjKxJ0PWp36wx/4O7aAmN8VcmGf/iJDKS3Pn2TbprXZKjKY58dRYE3P3uHRRNITWWJjWWIjGSYv3CKtUr6zRu1gGYeelXyU+eJZHbXBwW4NoP/mH8DA94zsx0iXR5ltLsi+QmTu/KHCWjkPb6HVqrN6kvXqa9fvuJP3O/oOoJrEyZ4uwLFKfPoyezKKrxxJ8buB2c1jqNpaus3XwH327tC/n73BYeSxkReF1aK9fJjBxHM7cXJ8qMHMOur1Cbv7Cvk9qwKEw+g5HMDzSFi0Ifr1PvEYHdhW6lsbIj5CbOkhs/iWZm+jsuRdPvefDsIqSUKLpJunyUZHGa8rEvYjfXWL/5Lu312zit9V09355DKOiJDPnJZygdeQEzXYzTeqoeeyf1ZM53E1LGHkpGqoCRyJIqHaE0+xKBZ+O01ujWFqgvXSF0u+THT2MkcwSeg2FlsdJlPKeJ120QuF1GTrxKfekympEkP34KoWh0a4t060sPGGmayQJWqoSqmzSWr+5geFT0RJb8xFlKsy9gpIrxLnuPx0cIBSNdRE/m4gXx6MsEXhenuUqntkBj6Srt9f1tj93t+xwEPaGhp3TWL63Tmmsw+aVpjv1yie5KB7fmYFe6JMfSHP3mCa78zkVSExnmvnubyuV1oiCeM7Wkjp4yiLyI6//qKp2lFhOvTqGnDW7+0XXsisOJXzmFaqq4NZvatQq3/vg6U28eoXxupE9yeiOw7RiYmRJOc3VzkiMEVmaUsdNvkC7NYKaLKJrZJzhPMrZSSoSiki4dIVmYoHzsC7TWbrFy5YfYrTVC71Fjz4MAM1OiOPMCmdFjpAqTKFocvdqteVszk6T0KRLZUcrHXqa5coPG8lUaS1ee+ph8JkkOxESnuXKdRH5iIMnRjCRmuoCVLeM0Vrc9dr+hqDqp4jS6mR54rNuuYDdXCPztjd6GhVBUkoUpUsVprEw5TkX1/lYUvZev3TuIXh+90BQUdORGnY8QJAuTtNfvUl+4GIdHDzgS+Yl+5CZVmCKRH0PVzG1D8ruBjQlMCBUUtd9poJlJNDOBohl060u0Wut4dpMoDOJUYbtKduwEURQQuF0QcaQh0RmLpRUCn25jDt9uEfpOP8JiWFk03cLrNrBba0NfZ7IwSao4Q7I4RSo/SSI/3quX2N/xgXgh08wkmpFEqDrd+jI71xT4lEGJSUXQ8XBqNkIVmDmL0Anwmi5+16e91EJZUxACQjfAa7n47XvvXtD1qd+oEfkhpbMlhAKJUgIZSdyag1u30ZIaqqHi1sCpO9iV2LNPNXa2FBmJHKqReOTnmpkmVZyidOwLpEtHMBJZVH330n/950XTUdBRdYuMOIFQ1H6EdCM69vQh0Iwk6ZFZCjPPkcxPYKbyccS49++7diahINQ4tawaFlmhYCTzpAqTVOc+oVtbeGppvc8syUFKWmt3KB39AjJZ2HZBVlQt/kLyUweK5AgRGxaa6RLKEC+q3VylW1/ahWiU6OevcxNnyE2cwUoX0czUE37uE16VEGhGguzYibhmJV0icDu012/vWbHrkyEuxrUyJfKTZ8mNnyZVnB5IuvflyhQVzUyjWxmiMMB3O3HExrN7xpf1Xi1ML0rXmzDNZJ7Qs/GcFq21W/3PU3ULEOiJDAJB4HZx25VBV9GvtclNPkN+4gzJwiTaJovXfiJ2BVfRrDS6ld6y9qOQV/B9ietJggAmxlSq9QjLFORz8XxTqYa4bmzPUi7Gu+Z6I6JrR2yikP9UIRSBmTdJjceLoNdy8Ts+qqmiWRpu08VrxaQmsH2i8GHZBInbdHAbJtNvHcFrebGxeyhJlJMohhrX5PRUxwMniOtw5M6zkEYii6Y/+JzoVoZkcYrizHOUj77EoGjQbkAIJSYOiefQzBSKphN6Xbzu0/WqE4qKkciSyE9QOvIixdkX+o0Be3re3sbUShcxkzlShYnYOigKcNs1Qn//ozqfXZKDpFO5i9upYaVLAxcWM1UkO3aSyp3HV37cbSiaTm7iTC8dtPXDuVFW1aku0K48uaGfUDUyo8c5+spvoFuZfQ+dD4ONHUkiP8617/0D3HblwEV0FFXDSBU48vJfIDN6fF8KSncCGQX4Tovm8vUtCgUlQohet0VcBKyoOiF2nJ4Sorf23/tdVU8gBCiaEdcXbUO4FU3HTBc58tJfIDt2Ik5JHSBEkY/XbdBcub7pv7/5qsXyasDcQkClFvFXfiPF7/9xl2OzOt/8ukUQwO/+qw7zSyHlosqv/2oSXRN85/s2l6/6LC4frIJVLaEx+cYMAPUbNZbfXcRe6/LsXz+PmbVoL7eRYQt7PVZRf/iZSYwkKZwuUjhR7Ae+qpfXSZSSnPgLpwmcgOqldVRDRTHU/mMjI7njoIKZKjw4pwuF4pHnKcw8R2781BOMwuNBUVRy46dIZEdRNYPFi3/2VBtZdCtN+cSrlGZfJJEdfSrXsJF+njr3DRKZEdZu/JTm8jWiXWhK2Ak+wyQnRmPpKqpukZ84ve1xZqpAduwEqpHs5RCfflRA1S3KR19GDDH5u801urUl3Nag3fNgyNDHt5s4jdW42POAQigqVrrEyTf/GnMf/Gsay9d2patnN2CmihSmzzH+zNcwklkOokFnt7YYTzpbkMNufYHc+GkKU+fxOtW44LJyN55AZ18mU5ql21imU1vovzOttRv4ThvNSDF++k2Wr/xg08820yVKR55n7PRb6Ad1fCrzNFdvbDk+42MqjidZXY9QRMSJYzojJZV8ViEM4b/5H5ssrYZ8+UsWp0/pLC4H3JkL+eVfTDJScvknv9vZ5zvaHl7LY/4Hd2kvt4m8qO82/e7/6+3YUDSSRGGsknrhf/mwbzy6gfZii+5Kh8WfzMcRHD/q1YRVWXp3AeABBXAp4yjO9d+7suOv38qM3Jd2gennfonikRewsiOPefe7Az2RZfLcL+LZLRqLl/Y/oiMUEtlRjr/2l7Byo70I69NHYfo8VmaE+tJl5j/6Y2S4f2HMzzzJ6azfJpkdgYlTbPsmCYGqW+TGT1FbuPDU28lVzcRMFUjkx3pt19ujsXINr1vftfN73QaVuQ/JjA3u6NoJ4jZd2ddfeJIo0UZro5kpUExjZAABAABJREFUUzzyPAiF+sKF3bvYx0QiP8HYydfJjJ3oTcR7HzZ/HHTry7RW76Wc2pW7IJT+BGQ31whcG0UziAIfoSh4dhO3Xel1XoUEnhO3X8uIdnUeIVRkFPTbvjdDMj/B2Jkvkxk5hmZlhnq+nwa6tSXaa1sXHEskigBVBVUV6LqgVo9YWHKp1EL+4q+m+On7LlMTGqYhqNYkriv50+/b3J57dH4JAx+nvUZ77TaKbqKqRr+lXNHMXhptb56joOtjV7r4XZ+o1/q9gY3C4gfufTO7Etk79uHsnpREDyuq3//P2/zbVlB1E9VIYiRyJHJjFGdfxEzmd/4sSUkkY6+buP7ryeckFJXxM2/19GOu71vhraIZmOkSR17+1ZjgbDwzT4A46iLuaXQ9JoSiYGZKFJRnQUrmP/qjfavR+cyTHLdTw+lU8Z32tlEJIQSKppMdPR5XhD9lkqNZaRK58YFMXPb8H9prt3elbXcDgdelvX6HwGmjmcmhCkA3hKICzyZwu4S+Qxi4sZhWT5slJjlRr1AtFgpUNAPNSKBbaYxUvl8HMgyEEKiaQbo8i++0aa/dIvC6T3r7jwehoBkJSkdeIDt+EjNTRnmMwtmN9GPodQk8hyj0+npCsUiZRMp44lDu09lReiJ5mm7F+iDbTHCBZ+O2Kzj3FQc/PG5R4OEGG6aZ9y16G8f2dFI2MHAyFwqamaQ4+yLZ0RMY6cITjI/siUX2xifwicJ747Nxvv74aDqKZgw1PlJKQt/Gaa1vW1e0vh4xUlZIpw0Wl0MiKTEMQRhBwlI4OqNx45ZPsxUhFBgdUXE9yfJKSKezicFu4NCtLrAuFBQ1FmVTVD2+dtVAqLEulaL0BDZ7ulNCURGqhqZb6IkcmrHz3btbj5sV/I73WKTjAexDEFwoKkYyR7p8hNzEGcxUcUtSHQtDQuC28e0Wgdcl8OxYOyr0iXqaSELE46ioOqpmoJkpjEQWPZHdcT2LlR0lM3qMwO3QWr25K/e8HeLavxEK0+dJl48OT3CkJIpCAreD19PXinXWNvSlgh65VuLnTtVQjUSsfWam0JO5+Fkc4lyqZmCkCuQnz9JYvkqnEusN7TU+8yQn9B3cdg27sTIw9SIUjczoCRTNiDUynmLKykwVSI8cHeJISeS7tNfv4ru7R3KiwMNpxIXM6fIs6iaLkZQyJjZRgAwDQt/Bd9o4zVXsxipup9oXXwt9pydId2+bFy86CfREBitTJlWYJjt+Iu6c6HVSwXAtn4ncKL7dxMqN0l67vWvjsBOomkGqOM3oqdfjzpwddp9tCB5uCGo5zTWcdhXfacUTtNNGBkFv5xnX/Kh6rAKsGffEGM1UsS8eubHIPzxJu+0KTruC77QGXNU278AOJbZU3SJVnGHs1BuouvV44xMGRFFAGHq4zTWcVqU3Ph18tzc+vR1iPD5WX9FVT+TiLspU8T417s3Hx2lVcNrr247P9Vs+v/CVBNOTGovLAWtrIamkYHRE5eQxjVYnwnElC4sBhYLC2dM6rqvSbEao6qPPdOi7dKrzdKrzm55P0Yz4ndFMNCPZE7EzUTUD1bCwMmXyk888Fslxag5Obe8XnN2ElRkhP32O4sxzW27CoihE9pS/25U5OtV5nMYqTmsdr1uPyfp9z7Gix2MbR4hGSZdmyYwdRzfTPbI5uHQgjnqo5MbPELo27fU7ex610K0M2bETjJ16fSDB2dhEydAnCnx8t023uki7epduYxm/28B3O4TefWKgQkHVTFQzGXdZZkokcmOkR47HgoobytED5mpVM0jkxxk58SqB28FurOz52HzmSQ6A01qjtnCJ7NjJbY9TVI1EfhwrM0IU+E+lEnwDVnaU3MSZgcdFgU9j+Vo8we/ywyKjkNXrb2Nlypu2YYa+0xOAukxz5QZ2YxXfHj4HvSGX7tsNutV5qnc+QNEMMuWj5KefZezUGzsSxzMzZUaOvfJUSI7SIzgnXv8raGbqscLE3dpC3Ia6epPm2i2ix9zlbNQqJXLjpMozZMdOYmVH4whGD/X5CzjN/eskjPWOjnDiS38J1UjseHyklHSq8zSXr9Fau0Vr/c6TjU9mhERujFQpHp9EdvSBZ7w+/8nA7rALl30uX4tTe+F9r56iwHd/4CCJu6428Pa7LpoWH/s4Eqwb70tAG5dHr83KjvTv6/OAdHmWdHkW2Hoj5DRXaCxfY+XqT3Bb6wzauEa+i+e7eJ0a7fXbrN34KUaqQGH6HMXp82R3UNQck4BjJAtTdHahIWRrCMbOvEVh6hyalR7y3ZLUl65Qm/uY5spNvG5twOERoW8T+jZeu0Kz1yWvaAblY1+kOPMcqfKRB+aYLa9WKJRmX8JprgGCbm1hiOt9fHwuSI7bqdJcvkrou32dle1QmHqW0Hf2fPC3QjI/STI3hj5Ey3bou1Tufthrod5dSBnRWLyMfeLV2FZAMwl9h9rCJzSXr9OtL+PbzXu2C0P6I22HKPBort6k21imuXSN2S/+RfREdptQ9AYEeiJLbuI0imYSBR77GYnLTz5D+fgX0YbQM7ofvtvBri+xdPG7saie7/QiY48/ljIK41RLp0Zj+SrLl76Pkchi5cZIl2fJjp2gtnBxX8UUi9PPUTr60s7Hx2nRrS+xfOn7dOuLhL57ny3F40FGIU5zFbddobF0heVL38NI5kjkxkmXjpAZO05t/gJuuzrwszb7mqKILWtQgoNRF/+ZwHbpxihwWbjwp7RWrmM3V58oMu91G6zdeJfm8nVGTrzK2Ok3h5iP4usz00WKR17YQ5IjGD35KrmJ05iZ0hCCsXFH5dzP/4DW2k0C1yaKHr8IOAo81m+9R2P5KunyLNPP/RJmujzwOoQQjJx8FaFquK31B8REdxufC5IjwxDf7dCpzpEuHx3oAZUZOUpz9cZTIzmp4hRmpjwwnB+FAYHbobN+d89CfmHgUl+6jNNaRwhBt7qI3Vy5z6tk96vk49bmNu3KHVavv03p6MskcqMD63SEUFCNBMn8BN3awp5c22ZI5CfJjBwjVZweKgXTr6Nav0t7/Q7Nleu0K3cfCZ0/CaSMkGEEod9LFTr4bhuntU5r9QZOu7Jv45MsTJEeOUqyMLWz8Vm7TWvtNs3Vm3Qqd2NRwl0iro+Oj9tPtTZXr+N2anuycTjE3kJGEYFvs3zlBzQWLuF2qk9e9yEjosDFbVeo3Pk5ifx4T6B18CZUt9Kky0cQQtl9U8+NGrcjL2AmB9e3baRDq3Mf0Vq9iee0dkXhPwo8vE6dVhSxeOHPmDr/jd7GdPvUnm5mSBUmyY6fjN0G9gifC5IT1614tNZukSpOwwCSY2VHMZJ5VN3al8KoByFIFqYw08WBR4a94lG3U2MvoxatlRt0q4vIKKBTmdsfB14Z4TttanMfk8iOxgagie09SjZcqJP5cezmCuzLIi7Ijh4nVZweeH1wLx9uN1aoL16iuXxtXywDojDWfPG6jT0OnT8MQXbsBKniFEZisBzBBsGxGyvUFi7SXL5Opzq351cZhR5e14s7FPd1fA6xW5BSEngd2pV51m+9j99t7OrmLwp9OpU56vMX0M1UXBM1wAtL1U2sTAnNTMU1k7toFalqOqnCJKnSkW1VnftzTnOVxtJVKnc+2NUmFYg3pl6nRvXuh2RGj5GbOINubV+jo6gaVmaE7MQZ6ouX92yjfjB7N/cAUehRX7gUO8du86AJsaH2O/pURJRUzSRVnMZMDSY5bqdKc/Ume52W6dYWaa3eiAvo9tnby26uUlu4SGv1VlzoPGCSEEIhmZ8cOPnsFhRNozj7AsnC5NC/E4Uei598h7Xr7+y7J9J+Q9E0SrMvkcgOWyciCQOPhY+/zdqNn+4LwTnEZwNSRnSqCyx8/C28dnXPFs3V6+/Qrs73IovbQ/Q65ZKFKRRld8UudSvDyMkvxUW/A6LcMvRZv/kulds/23WCc99ZCH2HxQt/it1cHWr8zVQxLpY3U3smj/C5ITkbzrF2c22o6Ey6dITM+PaFyrsOoVCYfjaWxh+itbZbX6Y+/8k+XNjTRWPpCvXFS0MJSAmhkChM7It6rlA1Ro6/hpUZ6XeCDYLXqXH3/d+nOvfxEJ1Nn24omtEbn9LQ4+O2Ksz97PepzX1E4B4ssbxDHGzUFy6xfutnex6plFFAY/7i0EbIQlFJl2eHquMZFpqZIlGYpDh9fnBzhpQsXPxT6ouXcTuD68yeFE5zlfWb7w1nztuz6ikf/8LQc8RO8bkhORtoLF/F69QHHmdlR0gVpvZVal4IhdzkM2hDdJ84rXWc5hruU/ZI2Q+EQa/bYYvW2gcgBEYyF7e47DEURad45PnYjX2IXYjTXKexdJXa/Cd9ZWYlk8Q8MYkxM4owdfSxIuaJKdTC7ilNq4UMSsIEbW/NLh+GohoUjzw/VLE/gN1YjTs+5i/se8TwEJ9exGkqm8bSFVpbWHDsNtrVuB09CsMhossCK1PeVbPZZGGS/Pjpnq/c1pA9DZza3Y/w7eaunX8QWqs36Vbn++KvWyG2jdEpTJ1H3aO19nNHctprd/DsxsAHU9UsjGQOa79SVkJBNSxSxamhGG23vozTrhwYG4M9RW8SG67lOTaSVMTeLuiKqmOk8iRyY0OlxqIopFtfpLF0pR/BUfNp9PEi+nipR0AEwtTR8imMqRFQdiF8K8CYHkHNp1HMITQ+EibaSP6JT6toRn98hpncoyiIW8SXrn7mI1yH2H10aws4jZV9e3YCp2doO4w2mVAwktkd60Jt/XkCKzMS15cOUMEOA492z8NxvxoNgNgWqNfhOQhCUbCyI2hmGrEHZQafO5LTqc3jdesDv3ChKGhmiszIMfbDV2fDCd3KlLcNa27UpXSqd3Hb+9cC/LQR+g52c23gcQLQ+kJze/e9bXRxaWZqqMkrdGMF6cZGiFtVMKZHMI+Oo5dySM9HhiEyCEFVMWZGQAiEriJ0rU94hGVsH5ERAiVpoaQTKEkToWmYR0bRxwtxRCeV6H+eMHWUlIWSskBVQFXRS1mss0dQ0okHzrtTaGaSZH68pxk0eHwCt0tr7RbN1RuPdb5DfE7R26w2lq7gduv7FgGMLU26Q6V/BCIuQdgl+xJVM7DSpSE24JLA7VJfuLjvnYJR6ON26lsKW94PIRR0M4WVLu2J19bnpLvqHkK3S7e2SDI/0ReS2gq6laEwc46Vaz/e1ar4rc4V51djq/rtIEOf1spN7MbKnl7TQULoO8Pdb29XE6tvKrui3bMZjGR+KLHGjeemOv8J7crdvsCkMVUm+fxJtFKWsNVFL2YJ1upEtkvY6qCV4k4t6+Q0QlXwlqoElQaZt57Hvb2Ee31zeQNhGeR/5Uso6QRho0P3g2sgBImzsyRfMEBKOu9fwVtYJ3F2FvPkJEhJ67sfgKqSeHaW9GvPopdzuNcXcedXCWs73x2bqSK58eHHpzb3Md3qwlPoZjzEpxkSQEbU5j7edzPMwLPp1pdJl49uf6AQ6FZ2R8Km2yFdPoqVHdm2owriVyvwOlTnPtmVVvGdwneatCt3KR55Yajj0+VZ3G59uOjYDvC5IzkA7cocejI3kORsyNBb6SJup76nqSE9kaEwfY6B0QcZUV+4iGc3983g7CBARuGOFKgVRUMoyhOJ6m0H3UqTGT029PG1ux/RrS/1/7+3sI5z9S5K0iJYb+JcvRtHcR6S3lAyCYSmIapxPl0fyROsbhECFgI1lUBJWrjXF7Av3SFstEmcncW9s0KwVidsdcn/yusE1Rbe3RWa33mfqG1T+De/TPPPfoY3t4o3UaLxrXfj6NIm5ozDwEhkyYxs/37dj8qdD+K2/0McYgeQoU+3sYJnt/Y9dR8F3tCmyKpu7VokJ12exUjmBx7n202cxupTK+AP3O6ONuKJ/AT6HtRUfe7SVRD79tg9ddlhiqLSI8cGsuYngWamsdKlodrGpYxoLF/73O14ZRT2VIyHhLJ3js2qkYiN+wZ4oUGcXrSbq7jdOpF/n6pnGCH9EOkHPTKxORkTGw7AitJPX6Fu8dpKSdju0v3gOkiJdWo6rvdRBFHHJmh2CNs2wjRQ0xYyiohaNmHHQUmagEAGccpMOh7Sfzz/Ac1IoieyPYfxAVFJGWE3VvG6dcKdfL+HOARxWqRbW3gqG7544zVYqTf2shJ9l/MnRTI/gT6E5pTXbWA3V3laHoyh7+J14hTioBpYADNdRDUSu34dn0uSE7hd3HZtuKIoIciMHN+TXOEGzFQeKzOKalgDjNWifiHZ521BkFLua+HcdtDNNHoi09OnGLSIh3Rri4S+PbBeQOgaajqBls+gppOomWRMfhSBPlZEHy9uTXDunZGg0UFJWhgzo2jFLH3y4gfQsxsIW12ErqGN5jHGi4RtO64JCiMi10cfL6KkE4/VkaVZaXQrHp9B2CjIDn3nqYTU74eSNNEnSpiz4/H9Jx7c2GilHGohE9cq7QeEQFgGxtHxfekW/DQiCoPY5PEpPDuxavbwc5IQymN52j3wGYqGkSqg6YPJgO+09qVlfCvIKCD07aHnbSOR2ZNgwuf0zZH4brunczCAYQqF3MTpWKxojwpZk/kJUqXpgcdtFHN168s7erk+G5DI6GC0FRvJHPoQ6sYQy8y31m8TbWZaFEVxRKe3y1Hzacyj4yTOHImLko+NE3ZsUBXSr58j88Z5kCKOsGwGRUEr50k8O4tWzsGGeGIYxmPXUxMmCOl+cgs1nSDzlRfIfPVF7Mt3CNt2HPGpNsl+7SXMoxOo6Z3vrMxkHt0azqNKRkE8PnuUVtwJjJkxcr/4RQq/8RUyX3spJpX3IfmF0yTOH0PNDZbz3w0IQ0MfK1D6K99AsfZGQ+TTjpjkLA8VKdj9k0c7jC4rTxZdFrE/n26mULTBnZKB28Hr7l/b+GaQUUTo2UNFhDUz2ds47m5n7OeyJgfifOX6rZ8xevrNgc+dkcyRLk0TuJ2BzsQ7hRAqqdIR0iNHBx7rdZvU7vx8z4ugD7E9zHQRM1kY6lgZhbRXb2+6m+l+crN3UPxXsFantd6g9aOPez+XIMG5tkD7R5/EXkvIfjTmEUQR/vwazZVq//dlGGF/fPOBZ2b17/8+RBL35uK9QvcojD+61cVfriI0LY78PMazZmbKQ9UMQOwr1169dSCkELRSFn2ixNJ/9r/G38lD9978k/fi/zh8/w4MZBRHcp5GFFAiHyOC9PgkRwiFZG58aL2dmOTUH/t8uwNJ5LvIhBzqzlU9EVtgOLtHzj63JCcK/FhQr7ESt21vEVrfCC+my0dxO/VdJznp8mycixwU2peSwGlRX7zM08qxHiKGbmWGilRIKYmiAKe9vnnNwGZfY4/YPIAo2lEU69FIz0MfuEGSIrn5RUQS6fuP/ZgZiQyaNTjasZGCjPWeho/kKOkE1qlpEueOxXVItRbe3Crdj2+S++YXUbMphKaBEDS+/R5BrYWaTmDMjJE8fxQZRChJk6hj03n/GmG7S/L8MZLPHceYLFH49a/g3V3BvblIUGmCIkh/6RzJc8fw5ldpv3uJYD2ehNOvn8eYGSFYb6IVM/hLFYSuomSSRI6HXsoSeQEyjBCqSu13vw9SYsyOkXhmFjWXRtE1uhdu4d5aImx1KfyFN1EMLY5OfNbSVKraI5DRE5NFGcXpe9/5fChjC6FgZkvDk5yeKe/ThJQQBA7mUN+1QNEMVMNkN0tOP7ckByRRGNe36FZmoABfojCBWZ2P2wB3cdeQKs+gW4M1FHy3g9OuPtUc644gFFTNQFF1FN1AVeP/Fr2uJ6Go8R/RK6gVSvzfitIvtkVR+v+uKBqamXzadwXEhcfD1GjJKCD0bMLA5VNHTJ/gclUjgaoNzq3LMCDoj8+wH66g5dMkzh3DX65CGBK2bMKuiz5eRC1kido2UbeFkjRJPn+czntX43qnbBJ9skz359dQbBNh6lhnZmi/fYGg0iRodtBdH3+5SlhvI71edElCWGsjLKOnH3QvVaCPFdAnSnhza/jLPkGthT5eQCtlcW8uo4+V8BbWkGGEMT0CApR0Eq2cRy1k8BfW4+saKyB0DffWEvpYAff2MjIMUbP7kxrbTQhdx5yZwbl9O07J3gdjchLpB4TNBlF3sPfTdoiigCjwkFFA7osn6N5YRugq6bNTtC7MoyZ635OqYJazoAgUXSVo2nRvrRJ2XKwjZYQiCG0Pb6UBAtLPTiPDiM7lxSe6vl2HEBhWZmhRwXR5lrEofKpduKpm9ta34SJYQlF33ePrc0xyNjqVrpMZPY5mpbf9IhKZkVisyLAIhzBmGwpCkCkfHapS3m1XsBsrQ1Xz7zeEoqKoWo+0qAhVQ9UMdDONZqXiQlQjFSsRawaKpsfkRzN6pEdFUVSEoqGo98iP2PjM3h9lF2XRnwSqZqIMUSAXhX6swPo5S2+o+nAkJwy9WBNjB+OjGDpqPoN1dJzKP/4O9LrShKGT+sJppOdjX7qNd3cVrZhl5G//Ms7VOSLH720rQ9rvXEQYGubxSTJvPkfjW+/S/egGSiaJMVakvZEu3ICU2JduYz0zS2Q/uMUUlgGRxLl6N476AKgK+kQZ9+YCyedP4C2sETke1sm47k4r59BKWYSq0P3oBlopR+rl0+gjBaTtIoOQzs+uIsMQ8/gk1umZocdn16GqCFW9F03skZY4UqYAMpZp2CAzioKaSpE4cRL37lz8OxsbFkXFOnqMqNPBCcMnJjkyDOL5UEDp6+fiLsGEweivfoGg7WAU00Q9opo6NQGagp5L4q00CLsu3ZurWDMltEyCsGXjrTRQLIPcF48T2f6BIzlCCDQrM7TeTmHqWQpTz+7xVe0uNub63cTnmuQgJfWFi4ydeh0zXdq24ElRdaxMmezIcWq7YYopBLqZIj1ydGArspSSTmWe9tqtJz/vbkMIzEyZTHkWKztGIjtCMj+Bkcr1olN7rxa939CMBNoQkZwo8PH3zPH34EIzEqjG3oyPkk6gJAy85eoDtUlCVdBG8gSVJlE3JgpBtYlayMYLMj6EEd5SJV6wvQDpBSjGE+4ag5Co694jOBuQksh2kUFA5HhEzr0CVa2YxZwexTo1jVbOA3EtVFBrxdGd1TrSj38vfPhz9xHCMNDyeYzJSYJ6naBaI2w24ojCxARqOoP0fbzVFcJmfJ1aoYBWKtG9fq0fQRCGgV4ooBaKKJZF1Nmd9FIYen3tLBmFsbyClPj1DsnjY2gZi861JdoXF6h+/xIAqTOTJGaKZF+YpXtzldbPb1F46yzpZ6ao/egK6dMTeCtNvMpBtBZR0M30runtHEQIoRySnN1GFLi01m6hGQmShcltj7WyI+SnntkVkqNqJoWZ51DU7dNkUkrCwKHTM4Q7CDDTZTIjR0mXj5AuH8VI5noMXOmlnXZHD+JgIs4biyHM5KIoINjHegFh6KRff43k+WfpfvQJ3Q8/6S8+AMb0JIkzp+l88BFBrf5IKuGRzzNN0l94CbWQo/4HfzzsVfQjdIMgQ3/HQmVRxyZyPIyJYqyFFG18Voi/XMGYHkOZX0PoKloxS1BtxAXUe4qdReqCSgNvcR0ZhlR/57u9j5AoCQN9agTr1AxC11CEQNtFo9adQOg65vQ02ddep/XuT1GTSaJul7BJr4uvjAwC9FKR7JtvsPIP/2F8G76PUFVyb7zF6m//FsI0MGdmSJ07T+ejDzGnp+Phmpt78ouMotiuQIK70iQxUyZ0PJo/v0Xq1DiKodG9qaCmTCb+8uuEXRctG6e83dVYHTnseoQdl8jzUTMWmRdmaX5wG/vOYAuZfYcQ6FbqidvQDzQGeHE9Dj73JAegU7mLlSkPJDm6mSaZn0Q1koTek4VaFVUnN34qTs8M+FLb63OxmNw++4/cD9VIYKaKZMdOkh6ZxUzm+3ooiqp/tl+8+7DxfQ11v1G0r9o+Mghxrl3HOnY0JjAP+U4FtQb25auE7c7QdWXCNFDM4TWidjI+UoY7fqYj1yeoNnFuLJL/5deQfhh3hFWbuDeXMI9Nknz+BIkzR1ASBu0ff0LY7CBMY+OkOzofikCxDJIvn8Y6Nk7kBwhNxb2xgH318TYdwVodv5hFK2bIfOX5+GfrDYJKE39xHaGrZF4/R+T6ceu43KJAfA8RayaF8cI6Noa3ME9k9xTHZdwpo6TSaPkCaiYbF0hHEZFtEzYavXQW6PkCaiKBt7SEt7SEv75OZO9Oul/KqB8tcpfrJGZKBG2H9sV5kifHiUKJlkthTRaI/IDGuzdJHhtFL6a5fxPmLtcRhkb6zBRKwiC0Y+Jz0CCI143P7gZyb3BIcoBuY4VUa50o9HsP0eZQNQMjkcXKlOlWFx7bF0koamxgWJgaShOgvX4H327xNIpXhVAwe2ZwqeI0+alnSBUmdz2k+GmBUNShdxob3VX7hijCX1wmbLUeiV4omQxqOoUwdOC+Di5FQUkmUXPZeOpU4pbyoFJ9hBBopQIIhchxiNqbR2DiCM4ejk8YEdY72BdvY52aAT1CBgFCUQjWG/hLFdRsqq8rY1+6Q9R1UYQgqLcRhha34vfa5Z1bS2wMRlhr4dzcpA5DxEQnqDT7XW7C0BGAv1whbD44FmGri7e4TuQFuHdXCJsdpBfg3lqMz9txCFaq+NkkajHWWxKmDUiCehtvbiW28lAEYdvGvbHYkw/YR0QRYbuDOx8TOTWdIex0CDsd1GwWFBXpeUjXjZ+T3jshfZ+oe08XRbEsUFSCWpWw2SRst4m83REy3TArBvBWm2TOxa7c3lqTyAsRYRQXeps6iqYSeQGh46N6Dz5z3noLYWjkXjwaR3Vs77HtTPYUgs/tvPskOCQ5gNtax2mu4Tut7a0VRByKz02eiQWotpDiHwRVT2BlyliZ8rbHyd4Orrl8bd/N5wAQCrqVZvTka+QmTvciXXu1i4gnq0c32g//YMgoyh5hR4s40VPtbLgf5tEjJJ45gzE9RfV//R281TUIQxTLxDo2S/ILL0Hgx51Dqkbrhz/GW+gt+CIuNE2+8BxCUfDml7AvX9n0PHHR+LAk5/HGJ+rYdD+4HttXPITW9z/c9HfCRoew0cG5crf/M/f2Mu7t5f7/ty/exr54+6GTSaKOQ/Pb72/6ua0ffvzIz7zby3i9z23867fv/Xxu9d5/L6zjLaxv+pn1P3h705/vN4JqheZPfoQ+MkL+a7+Acj1J2GqROHkKNZGge/UqQb2OMT2DkDJ+U5XYzV4IgVDV+PuNIoRpIjQNRdeIdrUtPp4f3KVa3KWpKfj1LkGzi1AE7nKDoGVTnikz8ssvIL2QyAvwm/d88IJGFyWhkzg+SuVPPyFoH1TLHLGj9+sQMQ5JTg9Oa43a/AXGz3x52+MU3aQ8+zKrV3+8M7XL+5DIjZIfoupdRiF2c6XnszW8OeVuQNUtErkxjr/xVzGT+aFqLHYDMvRjn6ooJAp9osDr5d0jEMrAlOKeQ+xAtXQTQbmnBfvjC3G6YYvLEQIa3/0BQa2OPjpK5itvUv+DP0JGEUo6RfqN1xCGQee9nxOsb6MVtZNi8wM0Pod4EEoqhTE5Rer8c0SuQ+S5hN0uMgwJqhVSX/4q+shoHAnU9dgcNpPBPHKExKnTaD1i1L10kbDbJfulL2GOT6CPjhF5u99A4a01uf1f/mH8f6Rk6R//uP/fAFf/L//koWf/vv8jBIqmoiYMWh/dJewevFTVBg4jOTvHIcnpwWlVaC5dZfzMW72fbD5Rx+mbAonceOy54+2UfAisdIns6ImBR0aBS33+wv6mPIgVnrNjJxg/85U+wXmc3UMUhUS+i2c3cFoVAqdF4HYJfJvQswl8J9a5CAPC0EeGASD7ESwpZb8eQdEMzHSJk2/+jd2+3R1BRsObVm7sZg8MtqrtkBK/UiVyvdgw1HVRTCNeuNIpjKlJ1FyO+u//IWF7QDdUFCKHTKveMy08xEFDZNt4c3cJqtV4KuzV28ggwF1YoPqH/xoZxO+rUFVkGBJ2Ojg3b+ItLNJ6523Crk1k2whFUFlbjSM6ikLkuvfqe3YT97+XD7+jW6iEp89Nkzo1gVHOUPvRFSI3ONCSVjIKkQzeRmxESZ+Gp9eTQEbBrqtXH5KcHkLfxmlXcNs1jGQeoWxFcgQoGunSNL7d3DHJMRJZjFQRPZHb9ri4q8qjuXJjX1MeimaQHTtJfvocifz4jghOFAZEgRuLFrYq+E6LwOvG8uJ2i9CziQKXMPB6ERqPKAx7L+P2olWKbg4tgrWX2AnJiUUOPx2LeKxw3COXG9omAGFE1O7g3ryFMTNF2GgQuN6WYxDtaHx2v110GGjlEmGni9yLhfazgiiKa69cN05B3ectJl0Xf62Xerv/u+4Roci2oX7vxxKIHCd+pg5Y5C5o2jiLVfx6B/vW6v7XPu0EUg49/wRul9baLbr1pX24sN2DdBcw9N2V3TgkOT3IKMR3OnSq87FC44AFNV0+Sqcyj9PaWauhlRvFypRQ9e1bx6MowHfadKrz+0pyrMwIhenz5CZOb1uEvYE42hIReDaB28bt1Git3KS5ehO3tU7gdT91u4ntEBOyOMo0iPzFgoa7q965LVQVJZmIi2ITFmoqReS4cWTGslCSSYRhoKSSKInEg7vpftTsQUSui7+ySuvH71D4tT9PsFZBev6WEZ2NSXjo8dmtNKiqoCQS8UIaRbHruuehJJMget1CvWJs4/gswcpafC9+HL1CgNCNfheWdGKNm4O2KO87egavm/78cT7rgMGZq+DM7a5Vz15i2G5E3+1QnfuYyq3Na8n2A6oGuqHgdIef/6eOGRSKCtVd5GaHJOc+RKFH5e5HZMdOxmq720zSufFT1OcvIsStHS3i2bETJPLjA4/z2lVaa7cId9PEYwhMnf8lMiNHh7Mt6E1avtNm5eqPaCxdpVNb2PVw40GCjIK4q+6+jpKtIFQNzdy5i/fjQGgaai5H5mtvYc4eQS+X0cfGcG/dxr50mdQXXsI6eQJ9bBRhGng3bmFfvU5YH1DQLuMoT1it0frBT0i9cB6tmKf1o82LY2UU3NttDhgfZbfGR9NQc1kyX30DxTQImy38pRWcy9fJ/MJbCE0jWF3DuzOPFIL0qy8TVGt484vxn5t3ELqBefIYiXNnQUZ0f/4x/vIqUWeX1M0PcYgnhETG68EQZFFV9acuGlieMJg5ZfKz77WJwuEI7ukXk5TGdG5c2L1175Dk3Ico8GksXiRwv9kTfNt6eBTdIlmcItVapb1+Z6jPVzSTzMhxEtnRgcfazVXq8xeHvvYnhaIZZEZPkBk7jmYMt/CEvkO3vsytn/4OfrdOGPifaYKzgdCzCX0bzdzeV0hR9YFq1rsFGQQE1Sr13/9DGqraj7DJMIIwoP3jt2m/8y5CKDEp39BBiSTdS1cQV671Ixf+6ipr//C3ka5L60c/6ZMV99ZtvLn5gSKCgdcl9J2BXmOKZuzK+KjZNPrEKN7deaQfIFQFoWskv/A8UatN2Gyh5nOkXn2Z2r/41/jLK9gXruDeuN2rKwFhmSgJC6Sk9d0fE9TrfcuI+6FhYCkpSsp4bGHSq46IiLjjX3jieznEIbaElPh2a6hNtWYmH4nEW0nBkVMWz76SIplSuH3F5e41hyiUvPXn86g6XPhpB8+JKI7qFEZ1CmWNGxdsrl+wWVvwSedUvvTNLCMTOp4j+dEfN+g0Qk69kODoGQvTVLhx0aG+7nPiXIJXv5Fhctbkxic2qwsehiV489+Iz/XJOx1W5j1kBL/814s0KgHFUZ1mbXczF4ck5wHEdTDtyhxZ1cBI5Tc9aiPCk8iNkSxMDUdyhCBVmkYzUwND9IHn4LYrdBv7l09VNZPizHlUzRhqB+DbLdrrd1i59mPcdqVXNLx3iE07D0Z9S+g7hIE7FMkxhvAl2zVIGWuXbPZPfgB+sHlN5Qbh2UAkkY7T+737xAyjCDmExknYKyhnn0hO1HUI600SXzpFsFbBW1qBMMQ8cYyw3UZ6HsHaOsF6te/BJIPgvjokkLaNN78IfoB19iTenXmCSjXWfLkPaSVPSZ3EjlrklDKedIkIMTCJy0EPXkrmEJ8NSCkJ3PZQJEdR9XguV7S4mBdQVUEqq1IY0fje79VpN0LyIxojkwa+F1FZCTl5PgECuq2Q9WWPW5dsRiYNnnk5xfpinRffStNYD1i+4xEGktd+Mcvb32qQL2nopsI732nSqoe4TkRhVKe2FvLRj9vUqwEjEzpj0/fOder5BDMnTaorATcuOKwv+Zx7RaDpu9si//QrOQ8apKS9fgfPGewZY2VKJHNjQxVPCgTp0hFU3RxYq+B1arjtKsE++R4JoaCZSTIjxwYSibgeJaJbX6KxdIXm8rU9Jzgb16jsUxv7IIS+M5RRqqJqqEZyoHXHZw0bJHAQFEVDMxJPPD7S95GuizY2gpqPjS8jxyNstVASFiKRQAYhYbUWH287KOkU2kgZJdmLWgoR+1D5PvrkOGo+1xNOfBCGMEmKDB3ZAASetHFkB+WAEPBDfJYhe4a/g0mOUFQUzUS9z0hYKDHRAbh50WF1wccwFUpjOt12RHXFJ4pANwSaIaivBdy8aCMEjE7pCAEzJ0xa9ZA7Vx3mb7rMnrLQDQVVE/huxM2LDmuLPs1qSLsR0qoHzF13qa8FJFIKxfvOJSPI5DVKEzqLt1zmrrt0muFuuzockpzN0Fy9gdepD2TMRqqAlRtDM7bf0QOgKGRHTwyodYm7W1rrd7Cbq9sct7tQNBMjkSORGxuqgykKPGrzn1Cd/2TfioqFoqIMUSe0H/DdLsEQXXVCKKiqjp7MHpgo1H7AdzvDjY+ixNGc5PDOypt+jqahWCZCVRG6jlYsoCYTuFdvopWK6OVSrOjcKyr21yroo2US58+ilWNBTiWdRpsYw5idjrvLZLRpUCYiwsOhEa3jS4dWVKMd1VH4/Hy/h3g6kDLCbdf6qtuDoJnJR7p4PS+i3bgXtVXU+NULfImMJBff63DjQs/0VIKiigdIh1BEv9xO1US/PMjpRnRbD16XjCRRJNENgaLGxwtx71wXftrh1iU7tqCTGwroA7PhO8bB2BofMNj1Zbr1JZLFKax0aZsjBUYiS2HmHKvX3mZrpTUFTU+QGTsxVMdSc+ky3erCY13748BMFUiXZ4c+vjZ/kXZlDt/eP4dkoahoxvbpj/2C26nidWpDHSsUlXT5KDWnhfQPhvrxXsNpVfC69aGOVRSVdPkYfrdFFD6euKYxPYF19hTr/9NvE9k2qVdexjg6g3PtBrXf+b14JpeyP3t23/sANvSLemm6sFojrNdxL19FRnLLmVYikT1XUE0YjKozCBSSInOYrDrEnkJGEd364tC6aUYyi5UtY9c3sSrp4eYFm8CT/MK/VWBtXmf+pouigWkp/MJv5JESFm95XHq/QxTB93+/xut/LsdX/80cdjvinW83ce3N35VWPaSy5PNX/8NR3v9ei/UlH8+N+Pqv3ztXddWnUenyG/+bMst3PRJpherq7mYGDknOFujWFmmv3d6W5Agh0Mw0uYmzrF5/Z8uqd81Ikhk7jjIgrSWlpFNbxGlXCIZUODYtwZmXU1x6v4PvPt4Uq5lJzPQ2dhYPoblybV8JDvQ6lawhImb7AL/TGNpmQwiVzMhRGkuXiYZIcX0W4HVqPa+1wRCKRmbkKPWFC/CYHDCo1HBv3SX1ykvIMCRqtXEWe3YNks1boDf7WSQHyjXUwzXaUR2Au/5lUkoWFY2V8PbQIoiHOMRjQUY4rQqh7xJF4cD1xEgWSGbH2NiOdVsR1z60uXv13jzUbUXcvGiztugTheA6EROzBvmSxvd/v0FtNaDbifpEZmXO59u/U0PTBVEEdjvEcyU/+34LRX0wz7R816NZDbCSCs1aSBBI1hYFq/Or8bnsCN+Psxe//V+u4rtRHOkJdvc9OiQ5W8BurtKtLSGPRmznl6TqBsncGJqRiEP0m6RvNCNBunSkJw63dcJRSkl77Tbj0xGthEZtLSDwJSefT1JZ9pGRZPqkhaLA0l0P34lI5zVe+mps8ldZ8WlVgx1XpyuaiWamhz7ebqzue2u7qpkDomr7B89u4NvNeEEUyrbfqVAU0sUZVM0koMPnYa/v2w18p4WMwoH1akJRSRenUTWD0HN4nPGJul38pRXota6HjRZha2/q2UJ8QhkXY9uyHS82qHjyUFjwEHuPKPRxO1V0K41ibT9nG4ksVnYkzkfJKCYlnQi7c2+NiiJwuhKn6/e1GjutkGYtoLIcUFnxCfx776TvSWprvUjLfaHL+4+5/9hGNaTVCNnYO/hInG70iC7k6ry3ZzJKhyRnC3idOnZzhdBzULdpqVZUHSOVx0wViYKVTUPuqpEgVZphOzFu2VOzbK7c4PSzklTaJAyhVQ84/WKS25cdwlBy7rU0ILFSKvU1H8NSOPFckrUFD3r5zp2THH3be7z/GpESr1snfEzfrseFasReWgcBgdvBd5oE3uA2aYRCIjeGnsjiO63H9jv7NMF32j01cAfVTA4ggSqJ3Di6lSVw7cdKWUnPJ/TqhLX6E1z1ziGJcGQHgUA9nEoPsS+QOI0VrFQRfQDJ0awURrqIZqYInMGR1Q2SYXci1hZ8HDvaXt9mSFKyWXD0YUKzlzqRh4XHWyAKPbxOjdbqzcEHC4Xc5BlU49HCWKHqGIns4JoXGRH6Do3lq8zfaGJYCi9+OcPMSYswkBx9xuLEuQT1NZ+rP7d5/s0MY0dM5q47LN12+N6/qPHxj9us3N35IiEUFVUbTpk3Cv2Y4OynHo5Q0M0UqadtztmDlBGe3aZbG1w3JYRA0XRy46ewMiP7cHVPH/H4tOjUtq4F2EB/fCbO7ChlepBgCIsRdfppX8YhPidord/F7db7YqxbQVE0DCtDbuL0jgr7a6sBF9/r0qgEu14E/DRwSHK2gWe3WL/zwcAFXQhBYfr8poWxydw4qdLMwO4a32lTm79IFLgs3rQJAsmxcwm++I0sH/ygRWM9QNNjiWzPjfjB71W59F4ckn9SFiwQw70EPSK23ymXZGGSZHF6fy0SBsCzG9SXrgx9fPnYF0iXZp66Cul+we3UaCxfHfr4keOvkCpMHdjxSYgUCZHe9E9ayVNQxxnaff0Qh3gCNFeu4zRX+/o320FPZBg//cbnqrvzYRzGWLdB6Dt0KncJPBvNSGxTXyCwMmWMZA63UyO6TyPEyo6QyI0P1Mbx3TbN5as93x9o1wOqKz7FMZ1OK+TOFYcwhBPnE5hJhbV5j/p6gONHrM55vPbncizedFmd96iu+Nue62FspMoGQoihusN2G9nR42RHjz+WE/pewXdatNZuEYU+iqoPvLY4mncUp12Nv+fPOHy7QXv99tDjoyezpEeP4dkNmivX9+kqh4NA4bjxPG5kE21SHW0Ii5SSPeyuOsS+IPQd7MYqndoimQEZAkXRsTIj5MZP0F6/S+B9/mxKDua26YBARgG+3cRprm1rjCaEQDMSmOki+v0dQEJgpotYmfK254lCH99u0bmvbdxzZFxEXAnwXcn6ksfSLYf1RZ9WLaDTjKvafU9y4xM7zns+JgeQMhzS+C0mOYqiP/7JdggjmSdZmDpwqZ7I93DbVdzW+lAEUdEMksVJcuOnBtfxfAYQBm5vfCqx19cAqJpBqjhNZuzkgZEKuB+mSMaNWjLY5E9IxGcgrn+ITwdkhN1ao1OZ39JYdwNCUVCNBPmpZzFS+aGEaz9rOIzkDICMQhrLVzFShQfUIzdDsjCF01rHbVeBeGGz0iWszPZdQb7TxmlXcNvrQCzhoagx0bn4bofAl4SB5M4VhztXHBT1wWKuD3/YQtPjrtjHKZWJQp9wiJZ1EStAoZlJQt8mCncWMdoxhEJ2/BTJ/PjAIrv9hyTyXRqLVzCSOYSiDoxWJPMTKIpGc+U6zZXr++ouv++QsZlgY+lyPLnqg8cnVZxCKArttVuxkvaB8UGTrAeLLIe3N+2iSooMkugwinOIfYNdX6Zlphg98WpsJr3t0YLysS/QqS4QuN2hNaw+KziM5AyAlBHrt39O4HYGHpsuzz5gvpkZOYaRKgz0qmqv33kgRP/sq2lOPZ/ETAguvNMmfEg3YLO18Um8MUPP3tGDnx6ZHejb9KQQqkYyP8HMi79MIj+xp+d6XEShz/LVH+DZw0mtb6Q1T7z+V0gWp1C07Unzpx1h4LJ85QfxuzPk+CRy4xz/0l8mWZhE0Q6GHYZEcje4tGWbuC073PEvc5isOsR+IXDbdKrzVO5+ONS7pWgmU+d/kfEzbx3ISOle4pDkDAGvU6VbX8IdIABnZcqY6WJ/cs6MHMVIZLfcwW74QHWq83TuM/m8+kGXn/xxgx//0XCCc08K3+ngNNeHPr448xxmqrBn16NoJqn8FEdf+Q00I3Vgi1EhdgWuzX1Mt7E88Ggh4gJvzUxx7NXfpHz05aechhN7O7Y91+Tq3Y+wm2uDr0bE16NZaY699pcoHnkB8ylqIwmhPDI+KjpppcBZ4xWeN7/COeN1juhnUcVhUPwQ+wvfbrFy9YcEnr2t1YPo6bPpyRyFI88z+8pvYCTzT2Sl8qRQNIPs2EkKM8+Tmzizp+c6fDOHgIxCurVFzHQRM5nb8jhF1dGtDGaqgN1YIVWYHFh/4bQruJ0a/n2RIteOcPdRWyxwO7jt9fhFGSBYCHHaJVmcwrMb/dTcbsFMFUiVZ8n10lTDpIGeJqSMqC/FKSszVUQboDckhECikMiOUpx9ASOVp7V6i9bazX3Q0IlrqqxMCSs7gqpbBJ5Nbe7jPTujlBH1xUsYqTxGMjfU+IBCIjdK+ehLmOki7bXbcZH3Xo9Pr7DeSpewsqOouoXvtGM15h4SSpqCMko7agDxJkQAZXWS+eCzX1B+iIODKPJxWuvUFy6SmzyLkchue7yiqBiJLJmRo4yf/TL1xcvYjZWeOvkeRyGFgm4m0RNZrMwIifwEiUyZMHAfqEXdCxySnCHRqc6TyI/3nLo3X3Rjm4cUidwYbqeGlRlF1bef1LvVBbxufV+cvLdC6Nm47Rqhb6MOCGUKITCSeTIjxwjcLoHb3QX1Y4FQVHQrRWb0BIWZ8+TGTw+sgToo6FTu0s6NkciNkSodAdiWmAkhEKpObvxk3JWXKvR0meqEvkMU+rtS7ySEglB1VE3v/W2imSkyI0fJjB5DNZI4jZU9JTkQp2NThSmsTJlUcaZ3bUOMz8RpzHQJM1XoKb3WYkn70NuV9+Xe+BgIVUPVTHQrTbo8S2bsOJqeoFNdeIDkWCJFRilyw/sAFxsNg6xSZFo/xXxwjcOU1SH2DVISejaVOx9gpkuouok6IAWuqDpGMs/oqTdQNIPm8nW69SUCt0PoO7tUJygQqoqiaHGjimag6hZWukQiN0p65DiZ0eMoqka3vog7pA/g4+KQ5AyJTuUuqeIUMvQR29QK6IkMqeIMXreBaiZR1M2HeEPIqb54Ga9T34tLHhpShgRuh+bKTfJTzyC2uOb7UZx5HjNVBCSV2x/wJJN7XKBdZPzslylMP7dp9Oth4auDFN2RUUht4RJh4HHsS38JRdGIx2PQNQrMVIHy0ZcpHXme2vwFmis36VTu0q0t9gpvH2dcBUqvQDyRnyBdniVZmCSRGYk7/XpWFJ7dxG0Nn6Z8XMgopDr3MWHgMvvKxI7GJ04BlyjNvkh17hNaK9fpVObo1peffHysFIncBOnyEVLFKazMKFa62O9A8boNuvWlh++GkACXONQa4OFJl+ggFEkLATt6Lw7OO3SIx0dj6UqsBi/EtpvwDQghUDWDsVNvUDryIk5rnerdj6jNfYxnN3sbrMd7rwBU3cRMl7AyIyQLE2RGjpEsTsWbiaeQIjskOUMiCn3sxiqN5asUps9veZxhZUmXjxD6Tm8y3wJSEnhdmsvX8PbZ7HIzBJ7NyrUfkx0/tSUxewBCkCpOc/SV36Qw8zy1ux/SqczjtCsMfEF6dSnp0gyZ8lFSpZlYKE/Vt2xxDD0bp7WObzfJjp9E1R9Vl36a8O0GjeWr3Hnvdzn6xb+4Y+FCoWgUZp4jP/UsMgoJPZtufRGnXSVw2rGVhNdBhkFMD3qpFVU1Y1sO3UKz0pipAkaqgG6mUHUrjlYoyn0eW09nYfO6DeqLlxHv/wtmv/jrOxYnE4pG8chzFKbPIcMg1rCqL+K2KvhOm8DrEHjdh8bHQFWNeCdp9MYnGVuw6GYKRTd3PD6RDBEIjunPYUctDGFhCAtf7k0qTQgFRTNRdRNFM3rfuYFimL176+2UNQMjVRy6xstMFRg/9TpOu0IUuIRh0FMzd4l8lyjw4ohisPEzr+d+fRipOohYvfYT3E4NIQTp8tGhN4GqkSBVnCaZn2DquV/E6zTwujWcThW3Xe1b0URhgJRRHJ3R9Fj7StVQNQPdTKMnMuhWFiOVR7cy/frDjTq7p1n/c0hydgC3U6W5cnNbkqMaFlZmZKA5YRT6NFeuEwbu/lokbHU9kU+3tkCncodkcRp9QPeU6O0aVd0kO3IMK1XAdzsEThu3Wydwu8jI70Vg4p1DPBmbqEaiV5+RRDOTaEbyHmnZ5OUM3C6ttdusXn87rtkpHTlwJAdiItZYvMLajXfJTz2LmcozDKnYmJCEiLUDpJQomkFaM0jmJ+MJJgqIogc1AjYmD6EoCKUXHu4thIqq9f79oOzWJYHbob54heT1n1KYPoeRzLKz8dFAAdkLgWd64yNDHxmFD42PuDfRPjw+mo6iPN74tKIaQeCTFnl0YRIS0IwqdKOd1zWousXI8VdiMqpq8TWpWpxeVHQUVe09E0qvNu3eoiEUtbeI9H6mqCiqjmYN1/WoW2lyU8+QCTxkFCFl/Ife3xs/477/jn8e9slPFAXIMOj97dNYvo7brgzViXqI3UUU+rTX77B06btMP/9vYGVGhtqsbszjQlEAHTOtoifSWLmxB8hN/73qkxbRL8zfeHbj1JSOULQDFWk/JDk7gO+06NYXCX0XRTM2/SKFovXrcuIHZ3PEJOfmU63FeQByYxG6jGokUTVz6JdET2TQExlkFBGFPp7diElO6PfTTKpu9l4CE1W3HhRN3PKSZPzyVu7SWLpMa/UGQX68Z+I4TLpjfyGjEK9bpzr3SbwIjxzFTMdCkDt56eOFTB3oMvxpg4xCvE6d2tzHaIZFqnQEM13a8YQY1+xoKGqa/dbf9nEJIh8EGIpFIH1caWPLwQaID0PRDArT51GNRLwzVlQUVbtHwhR1z8TbFM3A3GGL/kY36AbJkVGPfIdhr2aqQeB2DknOU4LvtGit3qR696O4MzGV3/FmMI4M6nsuEbKfOCQ5O0Do2TjNVdxONdbD2STkvjEBG8n8lp8jZUTouzSXr8W7zwOE9Vvvx8WwiSx6r1p/2EVIKAqqYpLQRwcfPACx43mE266wdvNdmsvXYjnzeuz0LqU8ULuF+9FcvkoU+gROm5ETr6IaCaQ8WHVETw+SxvJVoiik6HYoH30Z1UjQj7x8KiDpyAbdsIkkdiPnMUwdFFUnXT4Sp2k/BffeJ9+KCpssnkYyh6IeDG2jzyWkJHC7LH7yHZRe4X4iO9avsfw0PGN7gUOSs0OEvkf1zgdMPPt11MfcZQVOm25tEae1ustX9+QI3A5LF7+L3Vxl5oVffmqCdTIKcFrrXPv+P8Tr1vq2E6Fv4zTXenng7Vsmnybaa7dwmqs0lq4y++q/hZkqfK5N8h5Ga/UGTmOFxuJlZl/5DcxkftNNw0GDjkFKyTKtncESKXw8WlGN5eAWXfn0a+sOcQgpQ+Y++APqC5cozJxn7Mybn+u556CqrB1YRKFHde5josB/bPtvu7W+Iwfr/YbXjVMKN97+x7it9SF9rXYPTnON9ds/4/qPfgu3U33k/N360oEo1h6EwOvSWr/N9e//A1au/JBObXFb0a7PG3yvQ3P1Fte+9z+zcvXHccfUAR+fnFpmUjvJYnCTy/5PueNfwInaHNPPcdDSp4f4fKNTnWP58ve59v3/hfbaLQJvH8XXhkDou/jdJu4OhGgfB4eRnB1CRiFup47TWkeo2kBxs81+3+vU6FTu7tEVPjmkjPCdNu21Oyxd/j6F6XMkc+MYydyeFbLKntdRe/02rbXbtNdu4zRXN9VtcJrr+E57T65jVyElUeBhN1ep3v0Qp7VGMj9JqjTTEzrc/wK9uEZK4rZrdGuLtNef4nMoJVHgYjdXqfTGJ5Gf6Hd7PA0hyHvjU42VyCtzDx2hAIJ2VCfAQyFO3xwqHh/ioCGuj2wShQHLV34Y2w7lxknkRjGS+f1PX/VqLN1ug25tAaexSrexTLe2uKenPXwzHwNR4NKpLaAnMjsmOYFv47arOM2Dl6q6HzIK8e0mazd/2tfRSRWm0Kx0fM/9ltsnQxQGRIFH4Mf1TpXbP6e1fmdb/RantY7vtA50Xc79kFFIe/0O3cYKZuoOBbuBDH00K9MT8DL6acHdvh/ZcyneEBiMAo/A69KuzNFev0OnOr+r53usa4xC2mu3sOtLmJky+clnkGGAbqVRdKvfmQd7OT7evWfR69Jev0tr/TbdnhqrIRIIQEUjIkIVKgIT0ftfOITT+iEOse+QEYHbpnr3w1iFvzRDduwE6dIMqp5A2WgI2YMC940uvb4sQejhOx26tUXqi5foVhd6Sv97K0twSHIeE43FyySyoz1BvOHRrszRbazsvYP3LkGGAWvX36F69yOsTJnysS9Smn0xrtpX4l3tY34ySOKoVm2BxtIVKrd/NlRqzG6u4HUbcZTnwPpaPYrId7Dri9j1RVau/JDs2AlSpVnS5SNkykcRiorcta4x2f8r8LvY9WXsxgqd2gK1+Qs908yDpXkS+g7d6jzd6jwrV35AbvxUPD6lGdLl2b0bH69Lt76E3dtV1hYuEjj3Jl+BYFo7CQgskcQSKU7qL+LQQcdERe9d186vQUYRQomQ8uCT9YHoRcF243M2Fsjtj4ue+jO80SDxafj+7MYydmOZyq33SeTGKUyfIz1ylERuPLaEEPDk79a99yoMPHynRXvtJq2123EdartCuM9pMyEflpL9FKDZbJLLbe0htS8QSsx+d7jIbmhNHARtnJ0j1uNQdRMrM4KZKZPMjZEsTqFb6bjtXDPRdBMUtaexEbeXBq6N7zTxnXZPSXaZTnUO327GWkEbuhzDXomibuvuHoXeU58AB+I+3RNVt0jkxvo2Bla6iJ7Mo/VE/dQNAS5FQ9JbBMKgr1cSBV7fTd7rNvCdVl/RuNtYBRneNyF/Sp69/vjEz1wiP46VLmFsjE8iFz93uomiGrE2UH98QmQYxlofUUgUuASejd9txGNkt/DtJk67gj1wfASj6nTvv+4tAvfTLYlkNXw4tTUYcYTq4C+QwyBuKX9cFep72NAEGji39snQU5ThEArKkMKfsffaQZmTYm0c0bt+I5UnVZzGyoxgJHLoiTR6IofWU+0XioaiarGEQOAjw9684/vxe+W28O0WXjcu5XA7NXynReB07tNf2iUSfB8ajQbZ7PYNKIckZxO88ddmGD2Wol31+NFv3cVuHhAtm4MCIe4J+2kmqmHx2m/OMnEmB1Lwp//jHexW0E8FSCn7ZGfj79B3CD07VlH99D2CAOiWwlt/4wgjR1Nc+WGFyz9Yw+08ZtpCKP3FWu2p2G5MLn1VXu6lCCWyP8nfm+zDflpKhgFRGBAGHlHg7t5NPy30xkfdEDvs/R0viCpCiY09YwNUYMD4RGEsZDfM+MSRnFNUwxV86aIIlZxSphGtEckIQyTIq+Wed9UhDjEEBGS/9jJK0kLoKjKSdN67jL9SxTwyjnl0AiWTQOga9sc38RbXidpdAFKvPINWzKJYBqgKrR99TFhtIv3HXadEXzV9Qx8t1qHS7yOccVpWIuMErVBQhIrntXtCnEF/zjG0FE63ShDYu+SFtTWGITmH6apNMHE6w8zzOWrzNpr+6UmH7BukjHOsvstG0i2RSVCY8InCiPb6FVoV7+BsWrZAdtQkVYg1ShYvP4aYmyqYejbL9Lks63e6qLoCPOZLLSNCzybE5tORyNw9KKrg/DfKGJZKp+5z6+cNnNZDE/bG+DyVDhFBQmSIWMTDQZMGSSXLerhASICGQUJkGFYr5+iLObIjBkbiwTqIwIvo1HyuvbO3hoWHOAAQgsS5Y/hrdaKOTeQFEEao6ST6WAFtNE9YbyF0DWNmFJA412yUTAJjegQkRK6HkrJInDlC9+MbhLXBc5iqGGiahevd350aN0hEgTfU3KMoGqpqoqkmtlN9+MbIlSdxZXXPCc6wOCQ5m8DtBLQrLp2aRxQe8JX6gMDtBnRqHqEffWrGbPpclpnncigqj0VypASnHdBad3HaAfJTct8HCgI0Q/Dr/6fTFCYs7n7c5Lf/44sst4MDRZJTSg6FmJQoQqWgjDLPFUJAExopJTe0HOAXf22c018qUpgwY2sUTSAU6NZ9bn/Y4Pq7taeUze7ZQ/QtIzYMP3t31ovKIqOe3P/2i9hGChHoR9A20h5CqCC4L8J7L821kZaNIwibH3P/NW94KSFje5o4LbSR0u5F+nqfFf961Fdnf2qpWyFQC1na717CuTZP1HWQjod5Ygq1kEX6Aa0ffIg2UiDz1vMITcW5sYAxNYKSSmBfuo17bR6tnCP/F97Evbv8CMlRhBZHgCVEMt40mGaWdGqCSu1qz4ssxobZrSLUWOBShiii9xz0IjgyCpBIFMVA0xJo9wk/KuKeTUoxf4J2ZxnPPxgdsIckZxP8q//n1ad9CZ86fPu/vfm0L2HHOPZyntHjaVrrj5fO8boh/7//68VdvqpDfNZx7SdVWhWP/LhJKqczfjJFdvTpiG5uQCgqmpkiN3qS3OhJEukR9EQW3UojFC1OMXs2nt2k21hife7ndOtLBF53y8+cevYblKafR8qI9dvvsXD5zyhNP09h6lmy5WMoqkGrcoeVm2/TWr9N4LYRisbE6a+QGztFMhfLLLTWb7N6821alduPSEfoVpqJ019h4tRb+F6XytyH3PngXwKQHT1BbuQU6dIsiUwZzUgSBg5et0GnvsDqzXfo1BefThNIGFH5x39C5o3nyLz5HGG9Q+WffAd9NI85O4Y+PdKL4EDYaBM02ghFQR8rYp6YxJwdI3zreQCCtTrSffAeVNWgVDxDLnMEZMTy2kdIGZHPHmF05DwJq0CrtdDzQINOZxXHrTNSfpYgcKg1blEunsU0sxhaijDyWKtcwrYrjJTOoGkJHKdGq72IplmUi2fJpCbwg+6B63g9JDmH+FxCKDD5TJZUQadV+QzUrBxizyAQZJQCZ4wvEEgfRahklCLPmq8jZYQmYhXkYXHpR1Wu/bSGogkURfDmX53mhV8aJVPabyeuGNmRkxQmnyU/fhrNSMb1TvcZgAL9WijdSpPIjpKfOEtj5Sq1pctU5z/a9vNVzcTKjlI+8hKTZ7+GlSrFER4hyI4cx7Cy1BYvsHjlu8y+8Cvkx8+imel+FCg7chwzmaO6cIH5i3+yZRpEN1PoVgZVTzBz7pfIj5/tkbRei7QQsRmwZmGmS+TGTrF66z1qSxfpVHdeNP6k8G4vU12pYoyXsE5Ok379HP5qDW+pQtDs0PjXPwGIDVK9ABlJ/NUa/sI69sXb2Bdvxf8eRkRd54HP1nrppDByWVn5ENutIaVE1xJ0OqssrrxHGPrksjNYRg6nVzxt6JmeOrLAMDJ0u+vU3Bsois746IvcvPMdGs05kokyppkBoJQ/SRi4rK5/gue3OXbkFw4U0TkkOUB5NsnUs1lmzj84UVXudnn3dxcJvEdDmkZC5dw3RknldS59b40jz+coHUkSuBGV+S4XvrPG7Is5Js5kSBUMnJbPx99ajRdUCZlRk7f++hHe/d0FcqMWxZkE+XGLyt0ul36wjm4qjJ9Kc+T5PG474M4HdVZudujWY8Y+eTbD1LMZcmMWF/9sjeVr7UfSRCNHk0yfz1GeTXL97Qp3PmwQBZJkTmfibIazXy7zzu/MI6WkdCTJ5JkMiaxG4EbYzYDaks21n1Tw7eiR2uDCpMXE6QzHXyk88PN2xeOHv3WXwN06DJwqGrzxV2cwEuq22oJSwrf+mxv49oOTWqZsUJhKUJxKkBs3SWTiuprAj7CbPouXW8x/0sR76PdGjiYpz8Z/MmWT0eMpdFNBUQW/+h+dfuBYzw75k//2xiNpg/HTaU59qUhu7EHvnqs/qnDj3Sqhv33CQrcURo+nOPJ8jnTRQDMUoghaay53P2pQXbD73/EG0iWDidNpzrxV5of/6C66pVCaSTJ+OkMio+E7Id2GT33R4fo7FTwnOlCpnk87JBG3/QuEBH2fqlq0gi/jbhmBghpqQ7eRe90Q777/77QDwuDpdbxFUYCqW1iZEYRQCNwOTqeK73UJvLh4VNUtDCuDnshiWLE+WHbkBFJKnFYs6rYVVM0gkRlD0xOEvkOrcgdkRDI/iW5lsDIlMiPHKNl1cqOn8d0OdmsdKSOSuTGMRA4zVSKZnyCZHaNT31w8TgiVRLrM6LFXyI+fRdFM3G4dz24S+g6KovY6h7KYyRyablKcOhd3/oQh3cbeitLdd6EIUyf92rMgQU0n0Eo5uhdu4i9XUTNJDGuU5PMnAQgqDfy1OsFaHX+pQlBroRWzvX+XeIsV/MU1ou69zVoQurQ7y4ShSzo9gUTiuA0iGRBFPkHg9Jzl4+c3/iNQNtJ7veLiMPTwgi6aamHoSUASRT5ShoieYYKmJ3DdJp7fwfP3XvdmpzgkORAv+mfSnP1KGUUVZEdMNFPh1vt1fv4HSwTeo7+jJ1Se+WqZ8VNp7FbA6TdLzJzLEkWS1RsdVm92OP1WmaMv5MhPWISBpLnmce3HFXwvIjti8pW/NUt13qYwlWDiTJqJU2nW73ZpVTzMlMrJ14qceK2IEJDIakjg9s/qAIweT3H+G2NMn8uydjs+38MkpzCV4Jmvljn5pSJ202fukyZRILEyGkeey/HVvzXL6o02CJh5LsfM+RyJrEYUSpx2QHXOplPzWLzUfoQwWFmdkeOp/pilSwaGpVKZ6/L2P51ju4YVM6Vy9itlkjn9EZIjFIGV0bDSGpEf8Wd//9YjJGf0eJpjX8gzfS5LbszESusIVSBDidsNuPV+HacdUJmzcdv38s7ZUYvJZ7IcfTFHcTpJumggFFB1hfO/+KCpqN0M+PZ/d/ORhStTMjj6Up7xUxlUTZAZMdFNBa8bE9HQ37pOwcpolKYTnPv6KKffLJHI6Wi6gpSSdtUjVdS59V6dxSutB4hOMq8z+0Ker/ytWeY+bpDI6UyfyzL1TJZETiMKJHYzYP1ul27DY/5Ca1NifojHg0R+pjunfKeJZ9fxunXCwMVpreG01/HsBp7TRoYBmpnCShVJZMfJjBxFN9NY6RJh4JIpH92W5CiqgZUqoBkW1flPcDoVkJIw8ChMPRuToOwY5ZkXUXST5uIF7NYqMooIvJOUpl+I25ytHMn85DYkR2ClipSPvIRqJGhX7tJtLOG0KwRuB0XVsDJlkrlxZHEWM1UklZsg9B0C38FuLu9PjY4AoSoYUyP0nHuJfB9vbpWg2sTPpuIC5KlyfLyUhG07/rvWwl9cRxstxP8uIeq6BKsPFgBLGeF5bTQ1Qal4iiCw8f24nTuKAkwzR+Db/c5D08wRhC7KQ7IcmmZh6BlUVSMIHBRFQ9MS6FoCTTPRVCuutRIqup7qyTf0arcOCA5JDrB8vU2n4XPtJ1WSWY2v/K2jjB4fzmq+MJHgzb86w+rtLsvX24wcTXL6zRJRJCnPJlm53qFV8Xj2ayN8/d89xsr1NpX5ex0ir/3mNLUlh27dZ+FSi7NfLhP+TYkQMZH6+FurvPpvTfLCL49jpLQ+ydktvPHX4oiKkdS4+qMKjVWHkaOpmET90ij5SYt/8h9/wtrtB3Pv63e6PeLUIJnTef0vzzBxOj3UObs1nx/8wzvopvKIRIiRUDn9ZpmTrxXo1v1Ni5jPfqXMiVcLpIsGdz6oU5mzEQrkxiyOPJ/jzb8+g6oJPvjXy9x8716nSrvqsXipSWvVQagK3/wPTqDogtUbHd77FwsPnCPwImT06LnnPm7Sqd8iXTRIlwy+9neOMnJ0uGfl2Mt5XvzzE7z4K+Os3epw96MGnZqPZghOvlbkF/7d41w7X+GDP1zmZ/9yadPP+Mrfmo3JoSq4/naV5qrL2Mk0YydSPP/NMUrTCf6///sPaawcpuB2E9Hjds19CuB2qtQWL+J1azTX7+C017aUddCtDFPP/AJjx78EioaRyFGYOMfKjXfYagcfp50SVBY+Yfn6j/DsBkIoNFaukRs7idATcXRIT7By8x0Wr3wP32mCUKgvXYrTV0YSzUiQzE1sey+qkSSpGaze+inzl76Dv4nHnZHIkRs7xYkv/ttIoZAuHkEoGpW7P8d396FYNpJEHYfKb//Jpv/sXp/Hvb61Enn7J58MPIVl5sikJ0kmRrl/kg0CB8drMj3xGpXaNcLQIwhdxkdfpGuvo2kW0X0dU4X88Ti616vTMYwMhdxRUskxNM0ilz1Cs71IIX+cYuEkrtsklAEHKZpzSHKIw8eVu12qc3HR1HPfHKcwYQ3+RWLFS6cb8M/+04soAr70l2f4pb97gvO/OMp//7ffY+VGh/y4RRRIXvjz4ySyGqp276ELg4if/rN5rv24gpXR+I/+4C2OfbHA+7+3yJ/9/VvUlxx0S+Hsl8uUphNopiBwd+8BGjuZ5mf/cokf/fYcqzfb8bOpCGZfyPFL//5xjn+xyMxzOTw7fGDh9O2QuhPSWHZAwOnXSxSnhrO4cNoBH/3xyqb/9s2/e4LcqElz1eOf/98v4nUfXVy+9z/f5nv/821CX+I7YZ+MqLpCdtTkP/hHr3D2K2VWbrQfIDmrN9qs3mwjFIFmKHzlb86iGQrrd7q8/3uPkorN5nmnHbB0uQUCrIzOy786SWk6OfCeJ89keP7PjfHMV8vceq/Gb/+9j7CbAVEYW1MYSZXf/L89y/S5LG/9jSMsXGiyerPzyDVMnMnw4/91jvd+d5G12x2QcfTr1OtFvvZ3jnL05QIzz+WIwjqt9U1CkIc4xCbo1BbiCMmASIbvtJm78C1K0y/0hBgtkvntiQfE3Tq1+Y/j6AFxpMHt1uk2VkjmxtGMBDIKWL/zPmHvGGSE73ZwO1UUJdZtMZL57c8TBbjdOnc//kNCf3Oi79kNqgufkBs/TWHiGVTNwkhkKR15kZUbPzkwrc9Pgq5dwXHqCHEZCb1OKokf2NhOFUXR4+4y4vmnUrt+r1tOyn5EZ3n1Q1y3QRA6RFEISOadGhvEaaMrq2tXEELpR8IGdd7tJw5JzgbiDsl74bYhf82zQyp3bQI3REroNnza6y5mSqO26GA3fZI5nda6i6LEi5lm3NPeqczHNRi+GyGUkNaai5XRaK27NJZdQl/SXvcIvAhVVzCTGoG7e90Ai5dazF9osn63e189iYxrRD5scOKVItkREyujPxodkPeIwE6jkw9HaBRNcObNEqffKGG3Ay782SrzF5qbRnK6DT8+dyQfOG8YhnTqHpV5h5FjSYyk9oB0yYbgpowkoRL1U1FSyh21vfc/Jxz+WTn2SoHybAq7FfD+v1yiU/cJvXvjHQYRH397BTOtMnIsTgOu3ekigwc/ff6TJgsXmlTmHvy+Gisuc580OfbFArlREzOlbUtyZl/IMnkmzejRJPlxCzOlEngxaXTaAbUlh/kLLVZvdWmsuoTBNncpIJHRmH42w/GX8xQmLKyMim4qhIHEaYe0qx71ZZela22uv1Pb9nmREiZPpTn5aoGRowmyZRPdUrDbAbUll5UbHa78OI5ibQchYOZ8lmMv5SjNJMiWY20at0fY1253ufl+naVrnW0/ZwPjJ1NMnE4zdSZNaSaBkVB7dWBxavTCd9dZu9PFdz6NqUI55EssCX0Xz270FM4NFNVAKMq25CDeDNYeOkbiu+2+IKiUEU57/YHWZpAEnk0UhQhFQdWMhz/6Afhul3b1bqyivs2bGYU+9cXL5Mon0PQEqmaQKR5h9eY7yM9I1C6SIWxCNqSMCMN76stxeunBuUIS4XktgsAhjPxN2s0f/szwQBGb+3FIcp4QYSDp1HoPiIzTHG4nJIo2ogzxgr5R06JqcaHrBrp1r18/IaO4pgQBbifs/9yzQ6JAoig8QJB2A5U5m/qy80jdi+9GNHqLiJnW0K29E0VU9bim57lvjqFbKnc+anD1R5UtlaZlJEkVDDJlg0zJxEyr/XE1kipmSkU31Vh/hIMROB05miRV0PG6IXMfN4geKlCWESxdadFa95h6Nsvk2QyKIogeuvr1O12aq+4jC6lnh/1F38xoWz4nqi44+kKO879QZuJ0msKkRSqvo2oCKeNn1Xcjmqsu5SNJPvzjVdo1nzDYfALTDIWx40mmnslw7KUcM+eysdBdMh5/GcXX1m34VBYcNENw493aZnNv//OKkxYnXskz+0KO/JiJldEwkyqBF9Fc9xg7niSZ03j3XyzhtMNNCWoiqzH1TIbzXy8zcy5DbtQkmdVBidfyTs2ndsohP27x8Z+usXy9s2nUEGKHkqMv5jn1WiEmhseSZEfM2HVAgueENFc9EhmNq29XWb7eob78GU4XyojQt+PiUyFitemB3TSSwO08skBGgRt3D0kZK3T7ziNkKyZBUVywK7Y3kgwDB6e1dbqtfzUyottYJIp8QCIUDSszwmfFYmMwBo9Pp7tGENgPkc5PHw5JzhPifgID8QIceFGPHfd+JmV/JywU8UB7nW9HREFfiJ7Qjz8v9O9NBmHQ+6yNCWUX0VxzsZuPRoaiUPaJj24qqNoekRxBXEh7Psvzf26Myz9Y59qPK9z5oLHl8emSwcy5HEdezDF5NkN2xMRIqKi6gmYopPI6ykZK8ICwnLhAWqOx4lJbsDedg+vLDnYrQDMUCtPJTefbxoqD3X500olCiedsfF/qAynRDQgBVlrjrb8+zbNfLoEQsYhj3cduBphJFSOholtK3Il2JMny9Q63tvougPyYyYu/PMbzvzjC6NEkTjck9CKcVkAYSBRVoOqCVMFAKIL1u1ZvQdz8S7EyKideyfPWX5vGd+PPqS05GJZCqmBQnLQYmU1w4gt55j5usnCl/YiVhm4pjB5L8eW/McNzXy/j2SFuN6RV9bCbAcm8hpXSmH0hy8lX8iTzGj/4R/Os3ek+0h2nqIJkLh6z018qYCZU3G5It+7Tbfh9Ul2eTTBzLkNpJsEHf7zKJ99Zw9+mw/DAoufJJ5S4jfiepD/3ERnxSHFpLBi3OWIBQeLoysMEJvTj7iYZEgbu5oW/PRFAIRQGtSZHgYfbrQ++Tylx2tXYjkDGKr5msjAEWft8QMqIdmfzusBPGw5JzpOil7Z4GMOmP6Lo0Up0Gcl9Uzy1m/4jnVP7CSOhcvwLBX7l/3CKxrLLn/4Pt1i5vnX6wErFtStHXsijGQo3flrl/d9borXu4nbixf+X/v0TjJ8argh6v2AkVBQ1bnN3t4gYOK2QwAljMpLavL2+2/AJnMf7vhJZjamzGV78c6OEvuQnv7PAu7+3xNwnrf7ao5kK6aLOmdeLJHM6N96tPWqxsAEBv/b3TnL0hbgd3m6H/Mn/+xZXflKlOu/gtAMUVZAfN5k8myGZ0Vi80tr23ShMWHz978zy4R+v8P1/NM/StXskZuZ8li//jWnOf62Mldb4+t8+wr/6L26wcuPBovjTrxd58d8Y5flvlHE7Id/+H25z6YdVFq+04oCAAkfOZ3n2qyW+9rdmeeMvTeHZER9/e5Wb7z9I6AqTFl/6zUle/OYovhty4XsV3vlni1z5cbVXTwXZEZPTbxT4jf/zGZ77xgiJrIaiCt7//a07jg4ihFAxUwVyY6dJZEcwEnmMRLaXzjFjPyNFBUV9pAtnEAa6iks5nNHmABIio5BgSOuPKPSIfA8ZhbEYopE4UPouh9gdHJKczzB0U+n5KW2D3TeG3RFe+YuTPPuNUVRd5Xf+k4+p3Ok+EMW6H5qh8MW/OMXE2Qy1BZurP6r0NXmiXn2MmdQIg0d1fZ42vG58jZquYKRUvE2MPK20imYqSBmnK7e6h8e9Nd1USOXjV77b8Fm+3mHxSvuB8wRuRHPV44M/WkWoAn8LQqUZCqdfLzJzLhZUXL3V4Q/+y5tc/2mtn16FmOzXl11aFQ9FiUnedjfg2SGrN7v8y//sBu2q98CzsHilxYd/tIoMJK/+xgRHX8xhpR+cwqy0yukvFXn2K2WiQPKH//VNPvnTNeorbn/jICNYuNzCbgZ4dsSv/IcneOmXx+JU4oVWPxWoWwpjx5K89uuTCAV+8k8XufDddW5/2OgTNSmhVXH55DvrJLM6X/13Zpg5l0Uogo+/vYpnH/xojmYkyY2eojh1nszI0X6NTWyHIPrS/huRxY1N2fB0QA5szd6taUgOca77EUdyotjOQAqEqkEgdl5keIgDi0OS8ylF4EWEQYRQQLc2z1OnisYji8DDeJqv8skvxTpAVlrjo2+tsHi51U+5bAahwMixJGZCY365yZ0PG7QrDxbMaUZEumjcS1dthY1ZVexPFr6x4uC0U2iGoDhhsXLj0c6p7JiFldEJPUl9ydn0y3mSuddz4pqW0JcYSZWZcxmqC0Vuf9h4oP4pCuWW0aYNqLrg2EtZrLRKp+azeLXD7Q8am9ZRReHwhd12K+DG+3Wa626fKG0g9CW1JYf1ngRDIqujGwpCudcUNHIsRWHCxEzFBcZX36727/l+BJ6kvuJy9SdVvvm/O0Yqr1OctijPJPqFyLlRk3Kvlsp3I+581GDpWvuReqgojLvurvy4yhd+dZxM2aQwYTF2PMXClfYj93GQoKgGI0dfITd6gmR+EiORI/C62M1VvG4dz2kR+jZR4COjsC8gN37idYxUYWAh8H5jQ8Ru6OM3CBwQi85EhwTnM4ZDkvMphdsN8N2oL1748Hut6gql6QTp4sGahCAmK1Za49w3RilMJagvOXz8rZW4a2q73xMCI6EhFHBawSOeU7qlkB+3SBWNB4q7N4OMJFEgEUqcotnr2p3VW524fmjMZOpc9pH6DyFg/FSaTMnAc0KWr7U31el5Enh2SH057k4aPZZk9oUcQgh0U2Htbhe7GeC0A9xuODBdqmqCidNpVE1hfdVm5WZnV1rW3U7I3CfNLe/dbgV06z5CCDQjrvdRFEHYO35kNkEyH5s1dhsBa3fsLdW3PTtk5WYHuxWQKelkigblI/dITnbUpDhpoajQqgZU5h3atc2fUSnj77hd84iCCDOhMnosydL1zgEmOYJEZoTS9HMk8xMoik7gdWmt36RdmcNureJ2a/hOi9D34qhHr424MPksmpU+cCQHocRmnUMdKxCKBkocPZUy3D6ldkBhqml0xSKUPm7YjruqhoClpgllQBD5u9JRJlAx1SSGmsAOmgSR11MIj6ErForQ8CN76GvcDexdy8ynDb0GASHoM/s4UivuGfEeoHRta83DbvpopsKxLxbQrbjmQyjxApSfsDj2hQLl2cEaLo+N+8bsfihKfB1bjZmRUJl9Kc8Xf22C5qrLhT9d4/bPagiFR/7cDxlJ2hWPMJCYKa2vWCyUuEC0dCTJi78ygZnSBtYPRmGcslE1heyohXHf+G127vvvuX/fSky8NooyezWam97z9Z9UWLvVIZHReeXXp0hkdVRdINT42o2UxgvfHGfsRJpO3efi99Z23c099ONW82/997epLbuUZhK88hcn+Jv/+Xl+8z85y2u/Mcns83EKaNBmWFEF5ZkkqiZorLis3x2uDmIQfCdifd7ZcjMd+vIBNWchxAPfdWHcwkrHVhe1BXvgGEahpLZg43sRVkajMHlPHytd0MmWDaSE2rwdp+62+bgohOaqR7cRoOqCkdnkQLL9NCEUlfLsF7DSZVTNJAo9mqs3uP7u77Bw+c+oLnxCp7YQ2yIETq9mZqOBYnAR8NOAomro5nDinKpmxp5cioqUUWxhcRC6FHYEwXjqDM+Uf4FjuS9iqsPdO8BE+lkK1jSGOpy+2SAYaoKJ9DM8P/orFBMzaMqDprMFa5rx1BlMNbMr5xsWn/tIjlBg7ESaZF5Ht2IdmsKUhZFQSRcNzv/iKO1qXJzbrXu01l3alafgWvsQVm60mfu4ybEvFDj9eol/5794geVrbZxOQLpg8MzXRqgv2bQqLkZi+7bLnUIoUD6SjK0cEipmSqM8m8RMqUShwvlfGqNd9fDsELvl01xx+7t83VIYP5nmN//Tc0igseyg6YIv/trkI+eRSK78sEK34ceLmx/x4R8tce4bI5x+o8jI0SQTZ9MEbsTYiTSjJ1KMHE1x98M6k2cHGyZe/XEFI6EyfT7L3/7vXuLGT6tIGdeuCCH4w//8QSl/RRVMP5vBSGnopkIyr5MdiVNj4yfTnPvGKN16gNsNaK46dGp+P32zervLz/9wmTCUvPab0/xv/z9fYO6TJp26h6qrnHi1wMhskls/q/Pxt1ZYutLak8hS4EV89Cer3P55g5Ov5jnzRpGzXylz7OUcR1/KEnixJMK7v7fEj/7xAu3q5qrTQhGYqdj00HOiftH3kyKK5BN91kbrehSB092elEAcgXHs2PxQMxSs1L0pUTOUOBUswe3GshCD4DkhgR9hCRUrM5hsP00IoZAdOY7Si8b4bpf5S9+J27i3HTiBYWVR1AMWxQE03SKZHRt4nBAKqcJU3wQ0Cn069aWBYogHD5K7zZ+hKtqOLSluN97dUMrZlStxwzZ3mj8jbZQJokejuqvdG72A+f4Syc89yTFTKl/927NMnM4g1Dj0nR830RNxtf3X/s4xQj8iiiRLV1pc+UEsu/+0ISO48W4Vzw545denKUxanH6jRNjznfr4Wyvc+GmVM2+VefYXRnb13GZS5bV/e5qTrxURiohTZqMmRjJeEL76t48SBnGhbXXO5uKfrfHe78V+M2ZKIztiki7oIODZr49w4rXipnlwKWHlZgfPCQn9OIWyeqvL9/6n25x4tcjEmQxf+LVJAl/SrXssX2vz7j9fIF02KB0ZHMH68I+WcVoBp94oMXIsxcu/OkEYSLxuQHXhQVffOMWm8qt/7wxGUkVRBEovYqZqgmNfLDB6IkUUxPUnl3+wzrWfVLjx057isoSFC03shk9rzeX0m2WOvJC7tyC3An7023PcfLfKwsW9ITgbkBG0qh5Xflxl/mKLd353idnnY0+v8RMpCpMWr/ybExSnErz7e0tce6f2yNwvJb0WaYmmxymv3bk4nujeNyQZhALGJrYhD0MAhhkX2IaBjM1Newi8qJ/q0q3hIhe6ofQ1hzx7MMl62lA0/b77ivVvtqtJUVSdZG4SzUz12swPFjQzRap0BEUziIJYA2czCEWl0DPxhLj1vF29+8SeS6owyFsTFMxpQOKFXTp+lYpzl8nUs5haCqVngDnfvoAXdkhoOUrWLJH0MdUUESGRjFCFTs2ZJ2OMoKlm3FihJlhoXcQOGgQ9Ab+tBGyL1hHy5jhCKGiKyWrnOm2/Qih9RpInKFlHqDnzVJw5vDBO0ab0Imm9RNooIWWEriZouis0vBW6fm3g/W8oID+McuIYeTNWxp5vf4ITNClaM2iKgR861NwFBArjqdMYapI7zZ8BMJI4RkLPoysmitBYal/CDlqEcvjU+Oee5ESBZPVmZ1vX7A1U5m3a1XhwAyfk+ttVKne7LFy+14K7frfLJ99eQSii/5luJ2ThYot3fmee6oKNZwe0K4K3/+k8dz9q9GtRolBy4TurKKpg+do9D5WV620+/pMVfPfB9uPWqsvtD1tYUy5jz6bRnBZhu4vd8rnzQZ3lq21IpYlGdJqFk4hkFYIubidg4VKTt39nnsVLTVyRxDiSxV+rIu14cffskNVbHd7+p/Pc+aARu6dvjFkoWb/bxUw+OMmJpIWaSqGkknhzixDGha73186EXkR9xeHdf/6gV9RmkIDTDFDyBczJDEomjXPxKjferdNt+Kze6pAuGkjdoLnYZvVGi4ULTbLjFunpEis1C21iDH9hcwuJ2oLNzfdq2E2f0RPpvjmp1w37Qoj3Iwwk8xeb6EMIMlbn7EeKcO1mEFs1RPEzkSkbaKaKjCSNVZc7H9RZv9N9pJjabvjMX2zy9j+dZ/lae9PiXqcdsHKjzTv/dJ65T2JPrO0QBZJ21add9Vm93aVd9agtOoyfTDH9bIYzb5Q4+WqB5esd1m53qS09OB4yknTqHoVJi0RGI1XYxV39E6wznbqH70SomkKq8KgB7MMQqiCVN1C1uJOsc58xqtsJ6TYDhIB0wUAb0KkoesrPRkIliiStij9U9OdpIgr9ewu7UNCtbKwzs8lir6g6RiJPafo8qmYczHSVEl9jbvQkzbWbvajUQ8doBlaqRGbkOKpqxArAgdMjOY8fyREIDDVB0ZrBCzpERPiRQyh9ElqWhJ4jkiFeaKMpBkVrmop9F00xSekFmt4KKb2IE7bwQ4esMULXr5LU80gkbb+CphhkzVEiQgK/uu31hJGHG8ZWRYaSIKHnCCKXtl8jCF0sLYWuJlDFfdFLxcDSMqT0IhX7LorQsLQMkQyHIjlbIYg8NEVHUyxUEddMRTLCUJIktDw1dwFLy2CqaTQl/ndDTZLU86jCwA27GEqCvDWJdObp+IckZ2h4dsSf/f3bO/49txvy03/26EI9/0mT+U8eNIXr1n2u/HCdKz9c7//Mbgb88//00gPHRYHku//To9dy873aAx5MGwgDSbse8skHcGVNw/5gCX/+wSjT5Z+73AkkqddegsxlRNejU/O4+qMKV39UAcA8eRTz9BRh1yZ0YsEupxVw54PGpqJ8nh3x9j951EBOGy1hHJlEm7Ro/eEVpP/oYmy3AuY+bjL38aPGeVvBOj9D4vxpzJNH8ecWWZ+vs36nw8d/sgpCoE+OEVTrfYJWX3ZZsWvo4yOYp7JbkpwohOVr7QcI5VbYICb/8v9xZejr3gy+E7F4ucXi5dbQv9Na97j8/XUuf399y2O6dZ9b79W59V59x9ckI1i50WXlRpdkVmPybJrZ53LkRk0mz6RZvJp+hOREoaQy7zB5OkNmxKQ0k0DVxPb2D/uA6kIslqgZgty4hZnSsJv+plkIRY31iLKjBoqmYDeDuKuth3bVo7Hq/v/Z++9gS9LzvBP8pc/jzfW+vGvfjQa6G74JAiRBkCIocaVdSaQkzu5QJGMlamMVUihiZWLEkWImOBMbpLSr1VAaSiRHEj0AEh5otDfVVdXl7fX2eJM+v2//yFO36ta9t+pWdVVXd6OeiELj5snML805mc/3vs/7vEh6Zo75xEl6uw7vVkYj159UNHYbIdU5566Lx+8uJEG3gZ3pA0DTTPIDu/G7VeLwmjGf0hPomqk8ufIkA7s+kmwtxW1VMr0nUBQ03WRoz8cIvQ5et4a8SuSU672A9pMtT6AoClHo4TsN2tWZd5WuUhUdS8tQtEY42vhjYpkQZhWNwfQehIype/M0/WUsLcuhvs/QCZJnsETQ9Jcp2aN0wzpu2KRkjwNKj2A0WOycImP2M5l7lCB26d6C5HTCKk7UACC2Qyw9g63naYcVqt4MfekpIrG1M3ckAhY6J0kbRQbSe8mZA6w4F7Zcdydo+AukjTxpo3zt+IIKtp6lZI0BCnlzkFiGeGHyzkkbJUwthRO2WHMvY2s5JvOP4UYturdBuH7oSc6HBtuEWcOZBUSjhTE62HMO3Qz/4jT+xel7eHDvDt7JcwjHQU3d0DRVVdFyGTLPPUH3lbc3EbwHuH04rYjFcx1mTrbY/9ESqbxOrm9zlCYKBOderHLo42UGd6cJ3JjhfUnJ9P1M0Uwfb1Kdd4nDIqmczkOf6efMCxU6tc2RrWzZ5KFP92NldOJQUFvwmLlugrJyxaEw3CJwYqyMxr6ni3idiPlTmwmqqik8/PwA+UELlIR0XnqrQRS+f0mOFDHVhZOkS6PoZgrdyjB+5PNY6SLdxgKh20LEEYadJ9c/RbY8RbowjBAR7docqdwApv3eikhvhTj08N0GxZEjpItjdOvzPfF0E0XVyRRHyZTGyJTGe1E+hdbqZdZm3iLeoYngdtBVC121cML6hqoiFAVbL+DHHULhIRF4cRtby6ApOqLXvCWSAbGMiWW4nooCCGKvt53EDRsYagpNvXkFmaaYDGcOULLHiWWApWbw4jZOtL17+VVEwsftkaNIhCgStNs0f9wJIukTiwAFFUtLM5DaTdWbpeYtAAoZvUDOHKRojdGXmgLAj9pE8e21THlAct4nULNpzN0TpB49hIxjFNOEOKb9zZfQSnn0/hLC8XDfPoWaz5F7/lmC+SW8d5LIgjk1hj7Qh4wiFMuk9dXvElXqEN1cxJl68iHsg3tQ8zmaf/xNotUKSIlayGHv3439yEGkiIkrdYLZxfXxtoNiGFi7xtH+yk+gplPE9SbO0ZMEV+bJfPwp9MF+1HQKxdBpf+slorUa0vdRTIPCz3wBRddQTBPh+XS+9RJRpbZ16DybwRgdJPPMExhTY2iFPOH8MsH0At7ZiwBoxTzG2BD6yAB6IY974gz+pVmile0jIh9m9E2k2P14gVTB4MrRBrVFb73ZKSS6o+Kwze4nCux6rIBuqbTWAqrzmx/+oS9459trPP2XRhg/nGN4b4a//q8f4tv/vxmuvN1M+mv5iY9TpmjQN5FKGoemNN78yvI903f6TsyZH1Qx0xpP/9QwP/Gre0jlNC68Wmf5Unfd8Xhkf5aDz5X51N+cQNXg6FdXOf9KdUP/qsgXrF52+MF/nudHfnGK534u0b698SdLXHqjcbWdEtmyye4nC/z4r+6hMGixcKbN23++mjg1v385DlIKagvvkC2NURg+QCo3iKrpDEx9hL6JJ3pRDdlr9aAjEbjtNeZO/QWGmWFo7zPvO5LjtJZZvvADhvY+R6Y0TmHoAPmBvb2oU9L7SlGvuYmvTb9JZe44rdWL73rsSAREwidtlLheDCalxI2aZIwSjmr3XupZvLhLLKNbRsMsPUUkPRQUUkaBULjEWwh7r0fJHkFXDZr+Esvdc4xmD6GrO6uiei/9YZ2oRd1bYCi9H0NLyuCD2AUk3ahJN6jhRA2Wu+d7xyaJxe0V/jwgOdBrMAdXO1TfF6gqimmiplO4x86AFKiFHKnHDhNVqii2hXK1SaKqoGbSqNa1Ej0ZxQQz88T1Flq5SOqRQ3RfexvRunkqJlxYQe8rYaZToPWEmpqO3lfCOrQH5+hJiGOE691yX9D7gUiJe/I8aiaNlk1jH9qH6DhoxTxxo4l/cRotnyX1yEGct08RLa8h4xj3xBkURUUrF9HyGczd40S1BsRbdNINAuJ6k2BmESWTxjt/hXB+ibi5cZYtXA/3+BmMwX60Qh5jbPiHluRYKY3+yRSHP9XHvo8WcZohXicmcCIUVcG0NdJFI+kintVYvthl/nSLtWln8856rsyv/cES3hfi9U7fz/7lUQ5/sg+vExEFiTbGTKmk8jqKqtBY8njrayv37ncmYf50G91QKY/Y7Hq8wJNfHGbXYwVaawF+N8LK6BSGrHUfqStHm5z8zhoLZzZHodqVgBPfWmXykTzjh3Ps/UiJbMngkc8O4DkxhpmcW994QuKWL3U5+2KNsy9WN+1LUWDioV6vtbSGZigYpsruJ4tkSga6rVEeT/HxvzpO6MfEQVJRGAWCsy/VdqQbvF2IyKcy+zZet0aub5JMzxBQM5JnS9ImwcFpLuM0l+jU5+hUZzHTRaJgs97lfkMKQeQ7LJ77PsXhA6Tyw9iZMoaVRdV0hIgI/Q6B06BVuUJz+RxOayXpofUuIWSEHzu0/FXGcw8jZEwU+3hxh1awQtbso2SPkTP70VSTNecSftzF1m9OFHXFJG8OIrMPkdILNP3lXkRGQVMM+lNT5MyB3jGENP0VIhGgKjoZo0AsAgw1nRglomKoNuXUJFmjjK6YaIpBO1ij4d95rypV0TDVNEV7jJReoGxPYKopumGNTlinz56gYI1gazmi9G5Mz6YdrBHEXdpBhb3Fj9EJK/hxl6s/HCes45kdDC3FUHo/AN2oRjesE8RbPJO2u353fFYfIlhFC1VXEaHAq9/PH65E+iH+lVmk62OMDpL93CeI6o0NaylblIxIxyWYWSRcWEYf7CP/xedxj53iVo/FaKVCtFpBKxev7d8yUXMZtGIe78TZ23MAFQLhuPjnLqOkbKw9k6Sfehh9ZgE1n0V0HOJGC4TEOrDnuhSUQtxoJyk1BRTTQB/sA1VhK58qGYTEzTbh3CL6cD/BlTnCuY0/UhGG0Gjhn75IXG2QeeYJ9OvO84cNcSQIfUF+wGJwV+LhIiQETpw4Z5uJuVEcCdamHc68UGHuZJvW2tazRinh7ItVDFtFxJLRA1mG92eZfCRpayClRFGVpNmrJ2it+TSW7/3vq7niM328SWEocT4uDlsMTKVRlEQTZdhqrzosZvlihxPfWmP6WJPm6ubz9J2YhTMdTnxzFSkkfZMpdj1WYM+TJQIvRjcSx+U4lqxe6XLmhSrnX0k6kd8IRVPY81SR0YM9yworKVEvj9qkCwaaoVIcsnn6p4aTUnRfEAaC0BNcfqtBHNybdiWd2iyh18bvVgncJlamD003AAURR4ReG6e1TLc2T7e5iIgCpJR0anMoqtr7e/OTxu9U6VRnCZwG0TZl6W57Dc1IoRk2gbd1KsVpLiF7DTr97s0nKErPuKuxdIYocMgUR0nlh7DSRVTNQMQhod/Ba1eoL53G61R7BofvHhJBGDvUvDmK9ghSSgJ0QhHgRi3cqIWlZXpeNgor3nlC4aILEyesI2S0/gKPRUA7rCCRCMS63kdTdJr+Cl7U6Z2viqmlCYWXzE8VA0Ox6IRV/KiDqaYxtUxPAB311lOxtAxB3EXIKNmm52kTiaC3PCF9UsZ4cXtdX3Q9VBV0HYIAQEmanGop3F5KTFdNdNXqCbLTPdG1g6boGKqNoqiEvdRYJAKa/lKP5CS4WpmWNkpYetKLULNdwk6L4DZu2YeH5KjsPM52nYs3CvQd6sfMmQStgIXX5tmSGVy/zVbLt/rsdiFBtDsQC4TvJ9GPfPZaFUPvv1t1Io/bXWQYIsMI0eqg5bKg3VmJp5q2UXSduNbktk8qjpM0mRDJ8fRSb1qpgDE8mIiB9+0CSMTCfgCahpbLkP/xzyBcF9U0UQydqFLfoRHx1lUesusSO8lLVXhB71f5/it7fa/QWPE5/f0K6aLOxJE8hUEr6cid1RK/mE5EuxKwOu3yzjdXOfODCr5zc5rcbYS8/kdLnH2xyqFP9PHwZ/sZmEqTLhrolppULNUDqnMuixc6nH2xumVD2ygQhH7iMXPzF7lExAlBgV4z2y3Waq74/OA/zbFwts2jPzrI+OEsfeMp7JyO246ozrosnG1z6rsVzr9Wv4XJn+Sl319g5kSLPU8VOfBMibFDOeycTujHdNZCls53eONPlpg+3tq2oamqwu4nCux+KtELbRonEuimwuihG5rLSviz//kibju6Z3kE36njO3Xqi6d3tH7kd5g7+ec3XWf1yuusXnn9pussnX/hlmPNnfr6jo4J6JlyJumfTnWGTnVm59veBUQyYM29zJp7edNni52tr203rK2LiGdbb68vv1B/kYHUHtywiRM1WXU2p9Qi4THXPr7lfhe7Z6B7ZsvPrh9nu2MBCIW3niq6HqoKpqnQ16eyvBwTxxFOWGdmG0HwQufkpmVXjWT9uMvxta9suV3FnQZ3ev3vw0d0OlLQuY250gea5JgFC93SUU2V0p4SrbkWzlqX2I+xijYIid/00VM6VsHCrbqk+lIYaQMpwGt4lPaXMHNJdYVVtJj4xCS1c1W8hkfce5CmBzMUdhUIuyHthRZ+IxE+pfvTmPmklDI9lKFyeo2gFdx5KF5R0PpLKLqGmkqhFnLE1TrC89FKBVTTSNYZ7EMxNt46rVxEtSwUy0ArF4lqdeQt9DjbQXYciCL0oX42NAba8Q5uOH8piFYrhAvL+BdncI9d92MXAq1UwD64h7hSo/PCa2jlIuaeSbTsLdw7pUTGMaqprz/YHmB7+N2YpYtdvvobl9ddmzdB0rO4lzu+7VebcL72h4u8/sdLW+5XJnnMRPt+/ddDJtV6/+OXXl3/+2YVWq21gDf/bImjX0tE5iKS2zcylXD5zQZXjjY3O1FfPU8hd0wc5s+0WTjb5sXfm994jtft62YELQok//H/ceqODAJv7L31ADfD+6+0/cMGTYN0WqG/X2F1dUtFwS3x9EcNnK7k9Olou5qYTfjyl1N8+9s+1Vd+SErIcxN5+g/1kxnKsPzmEgd+5iBzL87Smm5SPtSPCAWVk6tkhrP0PzzA8htLTD2/C7/lo6gKAw8PUDtfI3RC7HKKVDnFwstzHP6rDzH3wgzVM1XMvMn+nzlI/UKN7GiO0WfGOP27J4nciIlPT1LaV2LtndWkWaaivGszKTWTJvOpjyXRG02l+8pbhPMrGKPDmHunKBRySCFQTGMDmVBUJRERP3IQNZPCefVtiGOs/buwDu3FGBkk89xTiTh3YZlwZgHFtkg9fhj74F6M4YGEFF6cJphZIFqt4l+4QuHLPwZRSNxoEy6v4Z+9dNvnJIUkmF/G3DWOOTWGOZGYQvnT8wTT8wjPJ1ypkHr6MTKfUVCkRDEMZBSjplOYeyawDuzBGBsm+8mP4k/PE84tEq3ViCp11EyKzHNPYe6eIJiZJ7iyubz9dmDtmyL3hU+g5bYnWf7FWdrfeZW41nhXY73nkNz1dhHruxZ3rmm7nZe4FKz3qrrlupItI0d3hOuJ0TawMjpTjxUZOZjj+799ZdPnt9PHykxrmLa27s0FiQ/P0L4sfVMZznxvFadx/93X3w3KU4+R7Z8i8rqsXX6D0N3aWkLVTdLFEQojB1l45xvv8VHePzT8RVrBKkJem7A++aRBpytYWxU0GpIv/qRFpyNRVSgWVfr6VI6+FWKnElPKo28FeB4893ET15Ucezskl1f4kR+xKJZUuh3BKy8HLCwIPv1pk5HRxNT13PmIkydDHnrI4OBBHV2Hs2ciLlyIGBjQePIpg2ZDcP58xPi4xuSURrmcjH/6dMT0lYilJUEur/C53ljttuC1V0M0HT73ORtFhd17Ai6cj5lfiHn4YYO9ezRQ4OWXAhoNwdSUzhNPGDQagkxGue1Jwgea5BgpA83WELGgs9RGszTMjImZszBzJiIQKJqKbuvYRRvN0kgPZXBrLnEQY5dT+E0P1UwM2fyWR2epg2bpWAWb9GCazHCWwlSBqBtgl1NkhrKk+tJ0FttYRRsjY9JZ6hD5MZH/7sPJcbtLXG8iwxBiQTC3jOi6BLMLCNeFKEK4fkI6llaRcUy0VsU9fSFR6asKSk0jmF9CBiHC9YhWqzhHTxHXG8SNFtLrleAJgWh1CabnidaqxK0OotNNRL2ej3/2EvrYcCI87jgI5+YllsL1CFerCD9IiFgYEa/V8N45h3Q9gul5tEIexU5KkkU3iRjJICSuNvDPXCR2HIhiiGNkGCXpt45DuJBch7jeQLQ7yCBMIgOuh3vqAigKotVB9M4trjeRcczVWZ0MAvxLM1t699wINZNK/H4GytsangkvqQh7gAe4HpqukO0z6d/17nrG6aZKaTRFftDiwsvV9eWqkbQTKY3a6DswpXy/I/Q6aLqNklLXWyxsBUVV0a00qR20bLi7ULCNxAwvFsFtV/a8W4Ric15mZFSlVlPotCXNpuTQIYNqVeA4ifPx2qrg0CGdIJC0WpK9+3SWlwUDAyqNehIyiSJwHEmplBCjg4cMFDWiXE6+U6urgnZbMjSkMdCvYpqwtJQsiyKIIonvS/r6VFRVoVRWGR7WkFJSqQimpjTiSLK0JK6NVYZSSeXAQZ0zp6NEzxNKarXk2Pfs0RgbUykUVTxX8rGPmSwsxNgphSCUNFtiy16Jt8IHmuQAeHWPzmKH1myLzmIHKUBP3fDyUa7pWBRVobvcwat7uBWXxpUG5QN9hN2A9qxLa6ZJZ7GNoioJwdlVBAl2KYVu60RehFWw6C53iP0YZ9Vh5e2tzeZuG1ImhOXoyUScex38Mxfxt06vEs4vb+sRc7PPZBDind7e4Mm/OIN/cec5bdHuItpdrj4GZCwIF1cIF5Pr41+Y3nbbuNWm/a0Xtz6OC9PbbysE3R+8sWlxtFqF1WsvB+l6iYh6BxBeQLxWS1JgvV+VoqmoaRt0/X3p9PoA9w+qriRNTZXkv4Z9TfdlZ3VUXekJYsFrhcSxvFqZTSpvrDcCFpHE60YoJB3Qx47kGdyTYeF0i9AXxNeZEOqmSqpgJOk6wO9Vs90raGYKKeKeb06WKHDXG9MiJYp2XXsIKROh8VUzQVVHM2ykSMqlk1RohIhD2iuXkh5SurV5UEVBN1OAgmZY6z223ksoKKStPqSM8aM2jn/nrr93C7mciu8JDCOJavT3qwgBnU7MlSsx75wI+bV/kGN6OqLTETz5pMH58zFCgOP2ZuESzp+L6HYko6Mahw8nfdaCEC5fiXj7aPIUf+7jJrqhcOVKzAvfvxZRVNQkgvPpT5uoKqRsBcOACxdijh+L+Ft/O834hMbrrycWFefORXS7kpFRjYMHdb77HZ/lZUG1EvPqKyFxDM8+lyKVUlhbE1TWBD/6eYvBQZUr0zFvvRkyNxfx/PM2W0hSb4oPPMmRQiI2Sa0lMha9hwtopoaZu/YDSX5kEtlLBCqAqqtoVvJw0mwdKSWxFxF2AxZemmP+5Xn8xkZWLWKBiD9oDd0e4Fbwz11m5dxlUHql+ikLfbifwhc/i7VvCt7HnaUf4L3HwFSGT/78Lsy0ht+JMGy119cLnv1rk5THU9g5A0VT+PZvXaAy4xB6gmzZ5Md/7WDSGDSrU51zeOX35lB1ePrL44wczJHKG+QGLM6/WGHm7QZhIFBUhbEjBcrjaQw7iUK/+J9mmD5av6102O1g7OEfpVubp1OZZv8nf4G5Y19D1U1UTUeKmNzQXnQjhaJpRH6XpdPfw+/UAEmmPM7okefp1ucx08WkWqu2QG3uxE3HNO084499AUUzEVFwX3R3EoGUkpRZxDLy7wuSI3r+TJrW+9d7z/m+pF4T+D4oimRxMUkB/aWfsRkb0/nqVzwuXYqwLPjCFyz6+lVqNYHrSTQNMhmFblfiOte+Q+l0ErXpdLbpAXbdhC8MoVYV+H6PxCtsGsvzkrTaVVy/13RaIY7BdSWuK/jP/8nlyaeSSYDrSjwPovj223t+4EnOVgi7IfVzNR7/u09R2ltGTxtY+ZvPAlLlFKU9JfKTBbIjOVaPrVA9W6U13+LJv/sRintLSCEJnZBT/+kdRHh3yY1od3HfOYt3+kJScfQA9x9SIroOwnFAUxHurbozP8APG0qjKfp3ZYgCwZ//xjkG92TZ9UTSrHXsoTx2TufY15ZYu9KlOGLzyb+5m2/924vU5pI+eH/2P54BFEYP5SiPp9n3bB+v/ZdZjn11ieqsQ37Q5vv/22UiXxCFgnTRTDyKnIjv/fsrBE5E/1SaJ35yhIVTTfzo7pRD34irLRwUVSdwGqSKw2i6iYgDvE6VOHBZOfcDRBxh5/oZe+TzTL/xB4goQNUNjFSO+omTBF4LGYUIefPjNFJ5UsVhhJAsHP9TzHSRbN8kuYHdOz5mTTXJp0fJp4ZRVYOOu0LbW8HQUvTn9oKiUmtfxg87qKrOUPEwumpRa1+h7a0S9Mq0g7iLIWxU5f3xujx/LuSjHzP59GdM5uZiokgm0cEbIRPiMz8fUyypuJ7AdSWmmSgChodVymUVx5HEMbzycsCX/3KKj37MZGkx5sKFiFMnIz75KYvnPm7x1FMG589HLC7EjIxoPPOsyYEDOpcumeRy20/8ohhGRrT1sa6KjGdnI6amNP6v/7c0L74Y8OKLAc88Y/LkkwYryxpnz4a8807Irt0af/sX08zOxOh6QrpuB++Pu3aHaF6p011qE/cIx8LL8wTtgKATgJRc+KNzRG7YM/tTcFa7XP7zi3QW2sRBzKWvXqS71CFyImoXa+i2jowlqq7SnGkQBzGyJbn0tWule7EfrwsZl15bXI/+vGtICT0NygO8jyB71TexuD2/oAf4oUAqr2NlNNpVH6cZ0lj2cFohqqZSGknRP5VBxJLB3RnMtEboxUiRtIFIFQyOfGaQ0I8pDNukcga+EyEiSeDFPa+ceFNDViklrVUfpxHgdSJSBYN0wbx9scJtIPIdNMPGzvbRqcxipnKomkkc+eiBR+A0iXyHOPTQdAsr23fNz0vKJN3TrRGHPjuZKGiGhW6mCb02UZA0mYz8W5uRXg9V0TD1NLpms9Y6Txg52EYe28gjpCCKupSyUzS7C3S8NVrOEhm7H9ssJM67PZLzbotJ7jZmZmKCMKBYUGh3JG+9FeK6knZLUu9pbr76VZ+V5ZhmU/DNb/jYtsLKSmLPEIZw/FjI0mJMHCe6GCmgXhe88D2fdFrB8yTVmqBWE7z5RsD0dJQsqwq6HUm3K2l3JK+9FnDlckI+ACqVZIzvfc/H8+S1sZZi4ujaWELAiRMhs7MxlqmwuBjjefDKyz5nTqt4vqRaSaJMjYZgeSmm3ZYcP6YwM3t7RP4DTXLcykYhbP3CxoZlC6/Mr5uSXfW+WTuxuv756vGeVqR5rReGqquI6FqURkSClaPLqLq6nua6+httXL7/ocsHeICtoJgWiq71vJM+2BU472coWpIquFqxJiKJjGWSTtAVDFslldMJXCNxYz7VJHBizLRGacRm4pECK5c6pAoGVkq7zv8nSaNv5YkFSWd6EcvkXySTlMU9PM/Ia2Ok8tj5Qbr1BUpjh1F1Aynins5G9MiMTKI+qrqhkluKeMuO4NtBURI9nJRxz4le3H6HcCUhOhJBy1kEIGsPYRoZIuHhhS0sI4+uWWiqThi7+EEb28xh6rewr7iPqNcljUaUfO+2uSTHj137zZ8+vZEkCwGzszELC4lO53oOd+pUtC7uvbrvy5djLl+OUdVryxoNyeLi9vfjzJlrY2431uKCYGlRoKrXStAvXoyBG8aqx8zOxDsuM78RH2iSc0vcQfno9QRnJ8sf4AHed9A0jL4+tGyWqF4jrPxwtrF4L+C1IwIvJj9ooZsq2T4TO6cTR5Laokt1xuGdb64wcyyZEEmREKKB3RkG92ZpV32O/ukC4w8XGNqfw0onkWERJcIL3VbRjMQ1+vp3/HsdXfC7daxcH3Z+gNrsCQrD+1BUlTh0CZ0mmf4pVN1EV1UMK0PQbezoGBVFA0XtdTrX1n254tAnDl3MVAFVM9DtLLq5dcVaIohOOo3LONrwJo1FSBRfI1dJn6iEPEkpqbQuYOhpytndmEYax6tv9ntVkoYIyrrZ0v2P7Ej57gPL23nbbLfvOyUZtxprq89uHOvdjP3hJjkP8AA/jIhjpIhRbZvUgYOEtdq7e0o8wLaozjrolsqhTw3ys//sYdpVHyutE3oxc+802f1Uicd/Yphnfm4cIeDCKxXOfn+N1ppPZbrLx/7KBIUhmyhIqqecVjIDry+6jLsxI/tz/Ny/fIR3vr7M7InmTY0S7yXc9hq5wd2Y6SKBUyfyHUQc4bUrNJcvkB85wPhjP46q6US+w/yJv7h5PyglIUNDBz9JbnA3qqZjZUu0li9Rnz9F4DQAKE08yq6nf4bQ76Ko2qZoTui1mTv5deZPfQNQkEnYZ9thG90Z8nKMgcJBLL1B11/riWRVUmYJTTWvI2cKabPEUOEQKaucpNzCDrXONO8HovMAO4Mi328Jxx2g1WpRKBTu92HcFWQ/8RT2kX2oxTxxrUH13/83kBKtr4g5MYJ9eB/6QAnFSoTT0vUI5pfxTl8kXKkgmreXp4aeD8zECNbhveiDfWiZVGK+FwtEu0O0WiWYX8G7MI1obG3OdVMYOqlHDmCOj6D3FVELOVTbQoYhwnGJG22CmUXc42cQrr+jF7A+UCb1xBEyTz9C1GzTfeUY7luJVbh1cDfW3kn0oX60Yg7VspCeR1RrEi6v4Z26SLi4+q6mPvpAmdJf+0lSjx5E0TSc42eo//7XiJbX7nifAGougzk+jHVoD8bQtQ7tV+9FuLxGMLeMf3nutu6FXixi9A9gDA3ReuVlFF3HHBjEmppCNS2cs2dQUzaKaRE3m2iFIjIMiLtd4nYrEVs/wI5g2Cq5ATsJu4diPcVUm3fJDVgYloraq8hz2xFuM4k6GLZGaTRF5It1h2kRC5orPiiQLhhkyiYyljiNEN+JkBKstIaZ0uhUA4SQGJZGYdimMtO94+7uY08NsOdTo5T35PnuvzxKp+JuKK5QVA3DzqIZNm5zBSNVQFEURBwS+Q5WppQ0Ge5FSQK3lURVAM2wMdMF3OZGqw1F0TBSOTTDBgVEFBKHHlHgghQoqoaZLiZpKxEnGh9VxW/vLDKpoKJpJqqir+trri4ztBRSCmIRIJGoioauWcQigl6n6yj2UBUdQ0+ti47DyCESibyh/0CRQz82Sf+BIj/4X47TnEv80h7gvUOz2SSfz990nQeRnPsMrVTAmBjBGOonahRB17B2jScuv3smMCdG0Aq59TYOMgjQ+kvo5QL+lXmCS3MEs4s7GksxdMypMYzJUazd4xgTI+jFHIptomh6UlbvusQjgxhjwxijg7gnzhIurCTme7fav22hlwvYR/ZhHdiF3l9Gy2dR10lUhPQCRNfF6BES/+IM4XLllh3OFctE7y9h7p1E7zoEF2fx0yms/VOknnwIY3QIvZS/NlYQYHScZHlfCefoKcL5xFDw/QDFMDD3TGBOjiT3ZHwYvZRHsUwUTUs0CK6HMdyPMTaMOT6Ee+I8wfxSUq5wC0ghemaIPQiBCEOE56Gm0hiDg6h2CtUwiEwTLZdHxhGKqhI1bk9rpqhgZgzKu3OUJrMYKR21p4UL3ZjOmktzvktnzdvwEjAzOpl+m9JklnTJQrc1VC3RxDl1n8qlFt2Kh9++9t1TNIXcUIq9nxqhs+oy91YFr7m5GlG3NHLDKfZ8fJjV800acx3aK/fm3oeeoDa3NSlsr/lbLoekMerKxW2+9xKcRrilo7HbijaIkQM3Zu3K5oagtwM7b1LenWfgYBHNUjdpmKWICZwmkDRfDN2NzTT97kY95PWIQw+3uVmPI2W8HrHZClLE+J3qtp/fChKxIVV1/bJk+cbUUxg53FigLGSEH7a33L+Z0SntytF/oIiR0tmpgYtmquRHM+RHM6yeqePWt/+OPMC7xwOSswEKmmWjGhZx4CHCYEPoU9F0VN1MBHR3Ofyv6BpaLoteLpJ59nHsA7vRB8sIP0RGUdKHSlUTojI5ijU5ijkxilPIEa7VkO4tRH2Kgj7UT/qZx0g9dAB9qC9JawQhMoiQvS6zimlgjA1hTI6QemQ/imXS8d4grtRvXvml6xhDfdiH95L/iU+jZjPJ/qOec7EfJm7MuobWV0Qf7sc6MEXn5WO4x8/in7+y49J5LZ1CK+YwxofIPf8s1sHdSUPQqHc+YYRi6GilAnp/CWv/VHIeP3iTcG5pR4TtnkJRMIb7yXz8SeyDe9AHSsm18sPk+GVyHRTTSAjw1Bjy4f0otoXoOkT1VmJZeptjCtchWFpCxjFGuQ/VNAGJomug6SiaStzpIP3be+haOZO+3TkOfn6cscf6sHImqqEkJaydkOqlFue/tYDfWdtAcjL9NhNPD7Dn48PkR9JYWQPN1BCRoL3icuHbC8wfrbByrrGurVM1hdJklmd+8TD16RbNRQe/HWyKYFhZg/EnB/j0rz3Km//7eS58L75nJOfDgNCN6Ky56CmN+JZNUj8skDf8dXsnHfkxnYqHNdtO3O532GrESOuMPj7AxEcHcWreA5Jzj/GA5FwH1bToO/Ic5X1PUjnzCs3LJwidaymC9OAkubH91M6/RdCu3X7jyptBUVBMg76/8dOYuyeQcUwwu4T7zvnE/VhT0fI5rF2j2I8eQgLm1ChauUDc6tL9wRvbkxBFQU3Z9P2tn8UYGUCxrcSVdLWGe/oCcaWOcDwUw8CYGkkI1kAZDIPCj38KRddw3nwH//z0todvTo6Q/fRHyX78SRRVRQLhai3plTW9gGh3k0jPUDlJzxzYjWLb5J5/BmvXGM2vfR/36KmdXStVJfXEEay9k5h7J4mW1vAvTBOuVJNWEaaBvWcCc9c4+nA/iqKQ+9TTyez4rZN4Jzd31X3PoCqo6RR9v/hX0If6k9YQQhCuVPFOnk86s7t+ci92jWIf3oteKqDYFoUf/zQAzhvv7KA/18ZZpT01hdHXj2IYhNVqkgKIE/Fl4lorkOIm5Ro3wb7PjHLki5OMPd7P6a/O0JjvIiKBmdHp251n7Il+Fo5XNzj2ApR353joJyaxCyZzb1XorHmIUJAdsHjoS1MM7D/M2a/P89K/PU13LSHxcSBoLTlceXGJI1+cojSRpbXkbIrmpMoW+z87AkIyf7RC5cIdpF1/iDD76gqzr94l5/YfEqyerrN6+q3b3s7MGEx8dJBMfwrNuEsWJA+wLR6QnOsgAo/KOz/AKvQTe5vDv87KDO7afCKouxdTHUXBOrAb9/RFnLdO4r59OiEuV8dSFBTDIPXkYYo/+Tx6fwk1k6b4pc+uvyC3SmWouQzFn/lRjNFBFMskrtZxjp6m+dXvJVENIZJJjQK8oqL3lUg9coDCT34WUjbZTz4FQhBV6sS15qb9K7ZN4UvPY+2dBFVFCkHjD76Be+oCUaWWyOdF72WqqqgpC2vPJKW/8dNo2TTGxAjFn/0CwcxCQuh24CKt95UQtkX35aM0/vCbiVGfEL1xoPvSUczxIeyH9lP8qR8BIPP0IyiaSnB57pZ9uO4VtFKBwpeeTxqiGjrRSgXn7dO0/vyF5F7feC8G+kg/eYT8j34cUja5z3wM6QfEjRZxfesXt1Yskdq1C2t8Ar1YJFxZSTrU6wZGuQ/FTDxVYtdBhiFqKk3caqAXCnfktVKayFIYyzD7xiov/K/vXIvWKAqqpqCZKqETEXobv5uzr62yeqZB5MdJ9KA3E1Z1lbWLLT768wcpjGUYfaSPC99ZWN+uW/E4+aczHPniFLueGyJwQq68dO0FbaQ0CqNpxp8aYPaNVVrLDqH7wH/qAd4fsLIGo4/301r64OjeVNXAShXf0zHd7rvTO17Fh47kGNkiVr4fuzSEjCM008ZvVemuTBO5HYp7HkOzUkm5ItC48g6x10WK5AEsoiCZ4d4QukwPTpHqG0a3s9TOv5lEeNbJh0pp3xOohomiaogooDVzhsjtcLsqfBmGOEdP4p29hOhs/hFIP8A7dRHv4B5sBbS+Emoug7VvCnk22kRCrmpZ7CP7UEwD0ergX56n8/LRbXUwSQfyGZy3T5N57klUy8IYG8I+uIfuK29vXFlVsQ/vwRjqQ03bSD/AvzCN+845orXalimoOAjxL87gvPEO6ccOJRqjUp7U44dxXj2eRGNuBRETN1p0XngjIUabIhAhwcIKKCr+kX2YeyZRUhb6QBlr3yTuiXO3HuMuQ7EtjIEy9pF9oOvEzTb+hRm6rx5DtLfWVEQrFfzz07iDfaSfeRzVtpJ05b5dOG9sbYsvHAdvbpawVkM1DILKGoqiEFbW8OdTiCAAZJIGFQJFN5CBj2paCG/nXiZX4bUDgm5EaSLLyCNlVs40cBv+LVsMhF5MFHibbR6UmLXzTUI3wkzpZPqsTdvVptvUptsM7C9Qu9Jm+pXVdZJUmswyeLCIbmrMvr6G13rgIH4jrJxB374CD/30ng28VgIv/i/H8ZrBpm7rmpFoST7ytw/z9n8+T2E8S2kqR34kTW26xYWvz2FmDQYOlRh/agCvFTD72grVi03cuo+Z0fnI3zpMc6HL6pk6w4+UGdhfpLPmsna2ztzrq0x8dJCxpwZQNZXOqsuFb83RXnZAQrpsMfRwmf0/MsH5b8xRudCgs7pxsmIXTPr2Fnjop3dz5cUlVk7XaC0kv63xpweZ+Oggbs3n7FdnGHq4zNBDZdIlG81QCbohtek2i2+v0Vrqboo86rbGwP4iR/7SbjR9Y4uJV/+/p+gsO+t+SddD1RVGH+9n6EgfmQGb/GiGdMlCMzU+9t8d2ZSuOv/NOaZfWgKZ6Hce/ct7KYxl6VY93vjftmlgCAweLrH/Ryew8yav/n9O4VS9TffwTmGlS+w+/ON3ZV87gZQxZ9/63dv3RtoCHzqSo1lprOIA2eHdOGvzGJn8OvFwq0uk+kaRSGQco+o66YFJusuXif2bv1hVTcfM9ZHqG6UxfQqcNiBRVA09lSM9ME7k95rWWWnSg5O0584hxW3MIKUkqjYIpheIK41tV4urDYJLs+ilAnp/GamqmLvHCOaXN5EcNZPGGB7AGCgDEFXqBNMLhDPbi5VlEBJVaninL5J59klQFfS+Eubu8U0kR9FUrIO7UbNpFE1DdBzckxcIVyqwXfpMCOJmG/f42URY3VdMIlQPHcA9fhZ2QHKE4xGuVPEvzW6bYpGOR7RSwTs/jblrPNHp5LOYu8buC8nRchn04QGM/hKQkMlgZoFwdmnbbaQfEK5U8M5eJv3M44m2aqAPc2p0W5IjA5+o6hNVtxBt9hoq3k3UZzqsnK0z9fQg+58fI9Nv01p06FY9OmsefivYckhFVTBsjexgqqfHUVG1pBIpO5DCSOlIEWGkNob0ZSzxWgHLp+pMfKSf4kSGTJ9Fp5fSKk3mGNhXIA5iFt+pEXTvThRHMQ30vgL6YPmu7O+eQEriVodgevvvFICqqeticc3QsAsmqZ74+/V/d2pLnZOqK6TLFke+tIvKhQb5kQzl3XlKu3IMHCzSXnKwCyajj/cz/HAfmqUlVWVSMv/WGrqlsfczYzQXupgZneGH+xh+uI+gE5AdSOG3Q6aeG2b4oT6snIHXCnDrHue+PocIBWbWoH9fkcNf2kX1UpP2cncTyTFsndJkjsNf2kW36tFa6q6TnPKuHHs/PYbXDGgudNn9iRHKe/JYWRPNSEhL/34HzVBZPLZG5cINE0ZVwcjolHfl0FM6VsYg059CT2kc/y8X6K65sAXJUVSF7GCavr15ciNpMgMpNEvDlFDalSc3vPH7uXB0bV0SrSjQv7/I2FODBN2QE//1IkEn3PR70m2Nvr0FDv7YJCISvPW/76wZ8U5hmGn6Rh66q/vcDlJKhAjXPZPeLT50JAdIfuhRyOo7L2Dly2RH9lDa+ziqYSNETGv2NF5tGSNTZOzZL+E3125JcjpLl9aFx9dDs1Kkh6aIA5/a2deJAxerMMDIR75Ad+kycXB7JMe/OIvoerd8EfmXZjHGR7AP7QHAnBxDy57hRkmt3l/E2juxnoYIZhcJrszd8lDijot/eY7EUZFE6Ds2tHlFTSV1eC+KZSVfTtfDOXpqRxVA3tlLZJ59HHPXGIppYB/ag5qyiXfwIo6qzYQc3CK1JTwf9+R5cj/yLIquoWbTmFNjtzy2ewF9sA9r9/i1e3F5juAmZPMqRLuDf/WeSYnWV8AYHbyzg7gHadbZ11dx6h6mrXHo8+Mc+vw4rWWH5VN1zn1jnoXjVYJutHFWqYCdMyhN5Tj84xMM7CuQKlmYGR3d0tb/rZ5r3CgvSk5DSC5+b4GRh0uUJrKMPtbH+W8toCjQtzfPwMECTj1g+VSNyL872jmtmCX7macofulTd2V/9wIyinHePsvqb/zuTdfzOwFL71R58X89jpk1mXh6kN2fGKU4ld3ROIe/uIvWQhen6hH5EXs+NcZjP7cvSVHqCpe+O8/DX97LvufHUTSV+beupR4GD5ewcgaN2Q4rp6uMPNrPnk+Nku6zyY+kWXi7Qt+ePAMHSzzxfznIpe8uENzFXoHlPXme/luHKE7lmH11heV3aiAlA4dKjH1kgPxohsxgiuqldza8YyMvZvlUjZf+3+9g5gyGDpc5+PkJSntuXsIshaS11GXmlWV0U6UwnuXpXzxCZ9Xl/NdnacxvjKivnq6t/0wjX7ByukZuJM3goTL9B4osn6wR31CqnhtOU5zMkipZnPvzWfx2eNeiONAjHvHN3mXXxlLUjbQiicZINiU1eiaLKInRouy1/5AiJo521v5jJ/hQkhwRR4TdBiAJuy1EHGNkS1j5PoJ2jdh3kb11jEwRVbtz8Zeqm1i5Mn5zFRGHiNAncjsY2eKOSwqvHbgkXFzZkQ1/sLhGVL820zBHB1DT9qb1tGIec3J0/e9orUa4uoOyzCgibraTKImmJaLhYh4M/VqERlVQeqksVLWnFWkTV3ZYghzFRKtVorUaxtgQim1iDPUTN9u3LCmP2x3C1Vv7ZcggJJhZWI/2qCn7zgnCu4TeV8QYH17/O1ytEu3gWskgIm52knNQVdSUjVbIbbwX9xGBE7F4vMafnXyd8lSW3R8fZvzJfnZ/fJgjX5xk+uUVjv7+Ja68vLz+3OrblePwT0zyxF/dR9gNOfWVGWozbbpVn8CJSBdNPvErD287phRw+QfLPPSlXZR35zj0hQnOf2uB/r15Bvbl0U2Ns1+fJQ5/KMqEbhsikvjNgIWjFVDASOkMP1TeMckRkeDEf7vI/Jur2AWTiT8eYvzpQU7810u8+R/P0l11MdIGez45SnEsg25ee8bKWNJe7PKtf/46mqHyuf/XR9n32XEmnh7k9/76N2kvO0w9N8KRn9zFnk+Podv6XdVU2QWL4gT80d99gfp0a50wKJrCT/yrZxl9bIDhh0oMHCyxeuba71MKSdAOWTyWXLPYixn/yCClPbe6VpLFt5NtVE1l+OEyT//iEZyaz/RLSyy9c8Pz+Iav7Mwry6RKFqOP9XP4i7uoXWnh3kByxp4aYPjhPmI/5txfzBA6d/e54Dk1Lp/6s20/lzJpu6GgMHnoCxhmGiliQr9NqzaN59SJ4wAhkhS5pltYdh4700c6N4SVKhIGbZamX6Wy+A5ut7ouIXm3+FCSHFXTMdIFQEFPZVFUlbDbJGjXsPJ9eKa9nmaK3Pa7upgiCgk6daxCP6qmI3UTzU4TOe07mjXHjrsj4S1RiAwCRBCimAaKbaPom2+nYplJOXcPuc89R+aZJ9aNum4KRYUeAVQUJakMStmIqJO4hGo6WjbdY+QQ+wFx5/b8OkTXRXTdnmU6qNk0qm0iblEMI8MQ4e2g9FJKZBAi/CAxVNQSknAv0ja3gmJbqNlr1vSFn/hMIiTezvP8+m01DdQkpK6sC7htRHj7ZpD3CjKWNOa7nP7qLJe+v0R2MMWjX97F5NOD7Hp2CK8VsPRO4qcy9bFBxh7rQ4SC7/5Px1k6VSdwIkSUlC8PHyndsiWLiCVzb65hpnUGDhQojGXY9VxSju42fC7/YPl911zxfQlJ8ju5jU3qM238doiIJJEX01l1MbMG3YqLU3GRQtKtekRBjGqomJlrzya34dOY7yAFRIHArft0Ky4ilrSXHeJAEHRCnLqXeDBldfy2epOjuT04VY+Fo6vUp1uJSL534jKWLB6rUt6Vx0jp5IbTG0jOBlxtfXA736+r61+3SbKPm2/WWXGpXWnTXHSYenaIo79j4jeDdf2PosLwkTKF8SydNY+VUzWi4O6aEkZBl8ri1unx5CAUUtkBJvc/j2HYVJdP0axcpFWbJY68hNys94uQoKioqoai6uhGivLgQUZ2PUNp8CAAs+e/c9eO/UNJchRVRbcz5CcPY2YLKKpGZ+kyXm0ZuzxMemASM9+HbqZoz58n8l1QVDTTJtU/hpktkiqPIuMYv7GK366RKo+Q7h/DzJXIjuxG1Q2CVgUR+nj1FdL942RH9yFFjGbatObO7oxIbIDspXl28MPpdcaWUYxqGqCpyb/rO5uR+O8olrH+t14uQrl4m8e1vrfEU+VqxlhNyt6Tj5Se787tnbMMex5AV0ewDNiCrG2CEDtKiSXrSmQUg5RJ40C1d612uv1dgqLr164XoPeXgNKd7Uuhdy/uM5Sr2TcFKWTSmqDm49R8uhWPucksu58bJjtgk+m/Fmm0ixZWzkDEguUzddqr7jqpUVSF8u4cRkrH79w8qrl8uk7f7hwD+wsMHSky+lgZ3dZozHWpTrcfuO/fI/itgLiXQpIi8dlBgdCN1wXnkRcjhERRFVRDRV63fP2+SoiDOCG4oVjfp4jEuvBX09X1SdDdQNANqc+0iW6o9kMmBCgKBKquYmaNrXfwHiMOBZ0Vh9XTNQ58YYLynjxeO8SpJBq0/GiG3HAakFTON+6aBu16SCkIg+0nsFaqRCrdRzo3jNtZo756jmb1Ml731lkDRdGQMiZXmsROl8iVJskWRuk0bmWTsTN8KEkOKCiqSnZkD5pp41YXaM+fJ+w2iH0XM1/G1oZAUVg78QKx56CoCcnJDE0BYKTz2KVhpBCETptUeRgjV0JRVezSECL0ib0uQbuG11glDlxSfaMomo4IfSqnX7lFDnMb3MD0b73udVEfVU1SZNctUlQ1iQL0IBw3Mf+7g6d/3O5sPDYluc7Xdi5v32dFio2kTNV29kCT6/+zM1wtzYb1UnZ4jy3YVQVFu3a94q5zc4PFmyBuO+95JGoraLpCumxjpHWCTnitFFxR0C0tqbK6Sl6uu69xGBNHAkVRMFM6VkZPOm/rClZGZ/SxPsyMjt+5eWVU5WKT6pU2ewLBxEcGGDpcwm8F1Gc7ONUHJmv3CqEfI6+LOItIJKTmOu2MjGXyLFIS4nr1mSMiQXydTkrEkjiIN2inpOS6SIWypS7rjo/di7Y1hoz8GCkkqqZsSLHdb3TWXObfWuXgj08x/HAf7WU3ITkKDB4qke638Vu9VNp9QDo3RKFvD6ado7J4YscEB5JKqm5zkfraBQbHHiedHaQ0eIBOc/G9Fx7/+q//On/4h3/I2bNnSaVSPPfcc/yrf/WvOHjw4Po6nufxD/7BP+D3f//38X2fL3zhC/zWb/0WQ0PXRKuzs7P80i/9Et/97nfJZrP8/M//PL/+67+OvpMZ/A4QBx7O6gzLb39704tg7Z0Xtt0uaNdYOfqtLT+rnn0dzr6+9YYiZuXtb9/x8V6DkqScdjprUdX1FJWEJDJxQ3RCxvEGjU/3jZP4l2bu6OUqPZ+4e93LVYheOTLJMk2F240u6PqGbYQfJFGXW0FVQdv590UxEtt1efVY74eWJY43XPfuy28TzC5tiGTtFMJxid8HLSrsgskzv3iIPZ8YYfFEldp0G78Touoq2QGb/c+PYaR0KpdaLJ26Zv2/dr5J3548gweKPP//fJzz35pHxJJMv83YE/0YKT2peLkFjwu6EdXLyb4Pfm6cVNFi8USN+bcfdF6/l5Cx3MSx5U5yL1ytntni5fUekfY4EPjNDxYB7qy4zL66QtBNKtAqF5qsnKqhKAq7PjlKumSzeLzC9Ms3r6q7V8jkh8iVp5BSUl89TxTcvgdQuzZNoW836dwg5aHDzF/4/l0JxN4Wq/j+97/PL//yL/P0008TRRH/+B//Yz7/+c9z+vRpMplE9/H3//7f56tf/Sr/9b/+VwqFAr/yK7/Cl7/8ZV566SUA4jjmi1/8IsPDw7z88sssLS3xN//m38QwDP7lv/yXd+GUPtjQCtmELNwCimmg2haKZSIBsU1UQHgBcdtB7+uVLa+s4Z+5RHQnjTclibHf1T+jiLjdXRcnqykbvZi7rV1q2Qxa9prYUXS6yB1obVTbRMumbj2AoqDaJqptJcQoihMfnvsQBRGeT9xxkpQhEC6t4p2+QHwLkfWWuOFe3C/4nYilk3XSfTYDBwpMfWwQRVWI/Linwaly8k9nWD3XTEpse5h+ZQWvGdBd89j3mVGe++8fIgpiuhWPxRNV3vxPF/jkrz68QcuxHaqXW5z75jwHfmQMEUuWT9eZP/qA5PwwQtEV9PQOJlr3Pwh6W5BC4rcDLnxjlv0/OkH/vgLFiSxO3WfqmWG8VkDlQpP20rvrYXan0I0Mll0AJGHQQdyBzjUKXaSIUFUDO9V3Y2uxOz+221n5L/7iLzb8/R/+w39gcHCQt956i0996lM0m03+/b//9/zu7/4uzz//PAC//du/zeHDh3n11Vd55pln+MY3vsHp06f51re+xdDQEI8//jj/4l/8C/7hP/yH/NN/+k8xTXOroXeMsF1HBB5uZeF9Ec6/LSgKen9pvRnnzaCVC4k3Ta/0Lqo2EFv0HBIdh2i1irUrKZvWCjnUfBZ2WgF1MwiJ9EOi1Rr6QBnF0FEzabRCjri1Az2EpqGV8mjFXFI+GEbE9RbCubUhnZpOoZUKt1xP0TX0wb4k6qUoxH5AVG3s7PzuMuJWh3itBr1qN62YR8tltnSR/qAgDmLm3lilPtvGzpvodpJulLFIRKWNJHV0o7eHiCTVK23Cr84y/3YF3daQsST0YpyqR2fN5ejvXUQzVNzazUlvFIikiacCaxeatBa7BLfQ8jzABw8ilutu2rqto+qbJ4NXfZfer0i0t1dNZG9v2zgQXHlxid2fHqM4lWPsyQGai13MrMHC22tULzfvaqeh28G1VLSCbqRQlNsXimuGnZSfK9xVDda7yg81m8nDuVxOzLHeeustwjDkc5/73Po6hw4dYnJykldeeYVnnnmGV155hUceeWRD+uoLX/gCv/RLv8SpU6d44okn3s0hEQcucXD/w/h3BFVBHxlAtcxbesUYQwNopWv+DNFKFelufhnErTbh4sr6vvShfozRwaT30d0ggXFMMLeckKdMKinRnhwhPt29ZZWY3ldEK+aTaicpiap14k53RyX0ai6T9Ne6QWh9IxTTwJgcXa9Mkl5iEHg/ENdbhMtr69fdGB0kXFwhmF364BHyHqSA5qJDc/H2w9N+O2St3WTtwtYkb+nE9p2tr4dha6SKiSvyyulExLyV8+wDfLAhQrHuXp3ptzcJg1VDJVWyKe++uW/N/UTiN5MI9M2UhqorO45YiFiweqaOU/XI9NuMPNaPlTdRNYXqpSaNma27pb8XECJCiBBd1Ujnh3A6q8TR7bmnp7MDSem5FMTx3XMpv+O6PCEEf+/v/T0+/vGP8/DDiZ/F8vIypmlSLBY3rDs0NMTy8vL6OtcTnKufX/1sK/i+T6vV2vBvExQFRTcSjUqvZQPq3Ss7fE+gKFi7xtFK+Q1VOJugqlj7JjGGB9ZnBcHMwpbl23G1gX9pLunQDZi7x7EO7E48dXZKlq9WbW0BGQu80xcQroeUEiVlk37q4aRc+2b7V1VSDx9IUjeaCrHAP3NpS6K2FfRSHnNiBDWb2n4cRUHNpEg9fCBpGiolccchmF7YZoN7i2itRnBlfv1eWHsnsfZObelvtC009fb9lz7kyA2lGHusjJQw99Ya7eV7OMkREhkLpBA98zL5gS1TV1QFRUv6iynatQomVVNQdRVFU+666PfdIOyVqstY0n+gSGE8i25raIaKZqlk+1P07ckz8mj/PTuG66+ZqinXXTO1dx1vcc1kUi3lNHwy/SlSRQsznejPNENFM5PrvuWmAjqrLpULDXRbZ/TxfkYe7SMKYirnGzRm7x/JCYMugdcCRaFv6AhWqtgzBdzJl0dBVU1Kg4ew0mVEHOE7tbuWUrzjSM4v//Ivc/LkSV588cW7cyQ3wa//+q/zz/7ZP9t+BVXD7Bug9InPIsMAb3GO1ttvkHvkSZyLZ4m77x8vkVtBSdnkf+zTdF8+Sve145ujFKpK6skjpD/yCPpQH0iJ8AOco6eJtmgFIbou4dwS3deOk/nYo2j5bNIvKpum9jt/RNy6ecRFzaaxH9qPaHcJF1YSg8DrEcd0Xz2WEJuUhZpOkf3EU4SzS7gnzm5pdqeYBtaeCQpf+ixqLpOcg+vR+ubLO/fZ0XX04QFKf/VL1H/nj5MGnTfAGB3EfuQg6Y88nHTdDiPC5Qrdo6d3NsZdhmh3CWYW6b5+gswzj6EV88l9LOWp/ec/TbQ527mUKkmLjtQjB4lqTaKl1TvT8nzIoNsaAweK7PvsKPWZNrNvrNKt3BtR6dXUrH9hBjWT7kUuLRRTX/eT+iBAURLBeGl3HjOtY6R0Rh4pkyol0bBdnxylu+oSdCNCN6I538Gp3X5Ps7sNvxWwcqrK8ukaAweKfOy/O8K+58dZO1sn3Wcx8ugARkqjPt1i5LG7S3QUBYy0Tt/+AlbaQLd1Bg4WSfclE5TJZ4bIj2YIuiGhE9GY7+DW/U39r66ex+XvzPPIX97Hc7/yKNVLTaoXG6iqilUwufy9BWZf274j/IVvzZMqWkw9N0ymP8XMa8u0lpy75ux9J+g2F2lULpHODVPo38fuIzq1lbNUFk/gOdtXWWm6RSrTz8T+z1IaPISqGXhOjcrySSR353zuiOT8yq/8Cl/5yld44YUXGB8fX18+PDxMEAQ0Go0N0ZyVlRWGh4fX13n99Y1VSisrK+ufbYV/9I/+Eb/2a7+2/ner1WJiYmL9b9WyKD3zSTonj2GNjKFlsok50eQuvLnpDw7JkUk/I3NyBK34aVKPHcI7P03cbCdVz5k0xugQqScOoxfziQGf49H5zitJk8ptqnTijkPzq9/FGE5SVWomhX1wDwP/979FOLtIVGsmgt8wSnQ1aRs1m0Ev5dEH+1BTNt03TyZalhtJDokxX+vrPyDz8SfJPP0I6Dr5L36a1KMHk3TMwiqi66JaBlqpgDHcn/S7ymVAVQkXV+m+fDQhRDv0rhFdB+F4pB49gPbf/zX86XmiSj0xFtQ1jLFhrF1jGBPD67Mt59iZpLO7u4OZvqomJoumgWoYiebItrg6M1FtC2OoD6IIEQSJ308Y3fL4o0ab5le/izk2iD48gJbPYB/ex8Df+4WkZ1m9tS4iTzROqU33ovODN+nWGju6Th82KJpCtt9m4ukBkDD2WB/DD5VRNZXX/8N5/M69q5qL2w7dN07jnrnS81vqWShoKqppoGZsFNtGtYzEhDNtoaZsFNtcLxRYX2YZiSA+ZaHYVvIdvYs6hJtBszRGHu3nk7/2eBKZUBPH46vpn6f+xsGeFUCiuXrnDy5x7s9nifz7764dujHf/9dv8/DP7KFvb57yrhwD+4u4TZ+VMzXWztapXWnxM7/16bs6rmZqlPcU+Pw//dj6NdMtDSuXaEgf/Sv7iAOB6EX6Tvy3y1z6zjytxc2TNqfqcez3LqAaKgMHigweKjL8cJk4EHRWHRbeWr3psSwdrzD+1ACjT/Sj2zrTP1jCvc8ktNNcQFFUin17SeeHyRbGsDN9DI4/juvUCXqOx1IkUWxNNzGtHKadw7TzmFYOVTMI/Dbt+ixriyfuWgr/tkiOlJJf/dVf5Y/+6I/43ve+x+7duzd8/tRTT2EYBt/+9rf52Z/9WQDOnTvH7Owszz77LADPPvss/8P/8D+wurrK4GBir//Nb36TfD7PkSNHthzXsiwsy9ryM0hESlomS1Bdwyj3odopQEG17A9WykoInLdPYR/ai1bIYR/cjVbMrQtxFcvsNeUsoQBRrUlwZQ7n2BlkcBMdSxwTrdXo/OBNUo8cxJwaResvYY4Po2VSieuw7yNjkfjqWAaqZSUv2FwGBVBT219/JARzS6jHzqAoCqlHD6GVCiiGgdZfwpgYQfph0jsqk0Ir5ND6S4me5/Ic3plLuO+c25akbYVwcY1wYQX7oX2Ye8YTsXOnm3Q9V1X0cgGtVEDLppFAcHEG751ziRZpu2iJrpF+/DD6UD+KpqEYWpL+1DTUTDrRAPVeRHp/icyzTxC3OkkJeCwS5+IoJlxcxbs4s3VriigiWqvR/v4bpB87hDExglYuYI6PoKaTeyH9IOkOrqrJy9I2UdPX3Qv7JvfiQw5VVcj02ez7zCi6qZIu24RexMXvLzJ/dG3dTO6eQAhEx0F0btAfKYkjtWKZKIbe+6ehGAlJvvo9Uky993dvmaH31tHXt1MzKbIfT8jHPTuNWNJacjj/jdkdrVu52CQKYuJQ0F52eP3fnWb+6Np69+w4FJz60ysoqrLBIXjlVA0pJaETEXQSd+QT/+0SoRtRudBYX2/+jVXaSw4iuuZl1VlxmH11mdCNcGp+8hlJ6Xr1UpPz35ijMJ4nVU6jqsn+63PtpJ9WzeP1f3eahbfX6F7XwHPldJ13/uAScSiozbRRDZPM2F6CVg2/lky0a1danPyjyygKrJ69pgkTscCtedteM9W0kXGU/JNQvdAg6G79TI5DQWupy/lvzLF6uo5VMNEtLdEcNX1q0zdPO/mdkNCNekQ0YvVM/ZammfcaceTjdFZZnn2d4amPYqf7sOw8ppXFtAtE2YGe63GvvU7P6VjTLTQ9eZ653SqNykUaq+cJvbsXmLgtkvPLv/zL/O7v/i5/8id/Qi6XW9fQFAoFUqkUhUKBv/N3/g6/9mu/RrlcJp/P86u/+qs8++yzPPPMMwB8/vOf58iRI/yNv/E3+Nf/+l+zvLzMP/kn/4Rf/uVfvimRuRkkIAI/mX1rGqppoefzyUvnA5Qvl0LgnjiPjATWnnGMsSHMqbGk2urqLE9IpOsROx7+pVncY6eTF/etEAs6Lx9F+gHC87GEWCcxWjGXkMH1McT6S1u0OgjXI260bioIFu0u3plLxG0HNZdJIkaWhT5QxhgeSHQkUl7bb7tLVG/hvHUS7/RFwrmt9VjbIVqpJMRIgdRD+9H7S+gjA4kLsKKASNyg466D6Lo4b57EO3v5pr2iFF0j88zjpB47tGWLjOuh95XWy/LXISVSCJw3TxJWatv334piOi++CVGE7XqYeydR0zZaPoteKiTX6rp7IWMBcYxo9u5Fq33HJoIfeCiJwDRdtDDSOk7NZ+V0nSuvLNOYuz/ls8ikMaaM7lwLpFhGYsEwWCL73GPcSyGMCAWVC40NRGOnaC05vPJvTm7cXyQ4+YeXN627fLLK8smNqYrjv39h03qzr63ADemZ9rJDe9lh5uXNz4XISyr6lk97qFYKv7p5nRuPERLStXKdV5OWypLf8zCduQvXSM7lFrXLmzWfIpI0F7q88lub94uiYpeHiNxO0s5nBxCRZP6NVebfuHnUZivoZqJDEpHEqTg05rdwb74PCLw2K3NvYtkFCv17MO0CmmagaQZ6pg+41ogTWG/GGQZd4tCnWblIZfE4rdo0d7PG/7ZIzr/5N/8GgM985jMblv/2b/82v/ALvwDAb/zGb6CqKj/7sz+7wQzwKjRN4ytf+Qq/9Eu/xLPPPksmk+Hnf/7n+ef//J/f+VkIQdhsUHz6Ocz+AVTTRMtkiOpVZPTBKSVVANXQaf3599GKeexDe0g/9RDm2FCSKpES0XXwLszgvHacYG7p9sqPo5jua8dxjp9FH+oj88zj60JnLZtOOonHMaLrErc6RJUa/vlpvNMXiKrNW/rXiI6Df/YSaxdnyDzzGNaB3Rhjg2h9JdR0KiFY7S5RpY53YZrOD95EtLt35veiqohWl9p//CPSTz9C6uEDGBPDSZTLspGOQ7haJZheoPvqsURsfCvCq6iJOaGq3XkHXyUxdLxlCWUU03nxLbpHT2EM9ZP+2GNYuyfQijm0TOraveg4xK020Vod/+IM7jvniOutJGL1Q4g4ECwer/L7v/j9+30odxXSD4mjuOeI/cGZmN0vaFaa9MguzEIfa1uQnFtCUe5SmbKCnsqQ3/cIztI0nfdA/DtwqEhxMgcSLn1/YYPL9P2FJI58rpz5GqnsILniOIW+PWSLE9iZEqpqcLXWSYoY32viOTWc1hJri+/Qac7ftaac1+O201W3gm3b/OZv/ia/+Zu/ue06U1NTfO1rX7udoW8K4bnUvv9NrNExjEIJRdMJG1W8hbk7cpO9n1AMHUWBaHmNzlqN7itv90LXyQ9SStmLUkTbp11uAen5hHNLNJfW1iM4iSaAZFZ6tfuckOsRkduJiMkoovPqMbpvvNNrodDb/1WPCCkT99/b3O/1UDR1vXeTc/Q07vGzcLVCpFd+L2/z+KXrUfm3v7uhDcadQEbxjsrgAaTjEcwsEi6s3PJeXI3ovC+ik4qCkSsStpu3bb1u5EtE3fYd9HYDLZ0lM7mfkc/+NAtf/z9wFqYR/sYISumRZ8juOgiqytyf/cdr4n1VwyoN0PeRz2APjqKlMknkbfY8tWMv49dW1ydFmp0mu+sg6fE92EMT6Nk8MgoIW028lXkqb32X2OluuhfjP/ULxE6H5rlj6Jk85ceew8gVQFGIOk0WvvafCTvNHTVl/WGHns4x8MSnUe00qqbjN6u0r5xCRBHlI09j94+imRZGtkhn7gLO0jQAqcEx7L4RaqdeR8YRVmmQ/ic+xfy3/wvFg0+SGhxH0TSE76GlMhvGHHjysxi5YpJ+koLKW9/DyORIDY5jlYeQIsbIFmlePIFXXQYp6X/s41h9w6QHx8mO76O7OE175uxdaUmwCQo8/Jf2MHCoRGfN5dQfXXlf2iW4nTU8p0pl6SSKkjyXk5Y9CckRcbjukC2lSMwD75HJz4ejd5WqohcKhJU14nYLLZvD7BsgrFWJup33hTPsjqDQS1P0UjtR0rzynnyFhdyg47nrY0TxhvYM9+Qcrk7E4nj9pfFux5Fe8N7Po4VAXleF8f57ZG2EompoqQy5vQ/ROPVGkire2YZolk1uz2FaF08RdW7fBFH4HlG3TeQ6ZKcO4FdXN5AcxTAx+wYxCiXal8+skxBFNzDzZYY++ROgqDgLV4jdLopukBnfQ+nRZ+hcOUv70ikgaYeiWjYoKt2Z84jAQ7VsrNIgmcl9iCig+sb3EOHGc9dMGz2TIx+HqKZNd/Y8UgpU3UC1bCLXQd5uf7cfUqi6SWpogsqxF4h9l9hzE4IoBd3FK8g4QrNS1M+8QdRtE/sump1GUXUU3Vh/niqqimraWMUBdDtD2G7QXbiEWehDTyeeOoqmY+TLaKkMnflLxL6Dns5ROvQk7toiim4iopDGmTcxiwMY+RKWiGnPnKM9dxEpwV2bp7twmcjt3r0XtgITTw+uV3H17S0w+uQATsVj7vUVuhX3ffrAkD2R8Y3vXmX98/cKHwqSo2g6qcndtE8eQ02l0dIZ1FQae2I37pULyYzrAT6EeJ8YeHxIYfUNJd5TPd+poL6GlAI9ncXqHyE9thu/ukLYrhN7LrGb/M7M0gCqZSczOE3DrywjhUC1bOyBEdJjewi7bYLqKrHnrOsY9Ew++e1qRlJ116wRe86GiI+MI6JuC291gdTIFHrqbcJWff2lYuZLGNkkcuIuTq8/S/V0Fnt4gvT4bmrHX8FZmCZsN1ANAyNbIDU0Qex2E/LjOYlWoFlHCkFQrxB1W2ipNHIqxMiXyO46SO3oD2CLgJ2ezmKWBnGXZuj0CJKiGejZfEKK3g+RuA8ApIgJO43e/xeIOCQOPRCCoFlFT2fRwwB3Ze4We0qeE2auCEDYaeAszyLjmOz4/mQNVcPMlzEyOVRNI+5FnI1cCa+2nHzv3A7OyiyR51AqD6LZaWLPwa+vYpcG8eureJXFu34dhh4qM3CgiKqrFMayhE7E0okKc2+sblmi/v7Ge//d/1CQHNU0yB5+hO6506Qmd2ONjBGsLJJ/7CmC1aUHJOcBHuAOUDj8JHo6B6qGoirU3n4JEQbYAyPk9j6E1TdM4fCTeCvzuKsLuD2Sk91zOCFImo6ezlJ5/TvEroORLVA4/CRW/zB5JP7aEu7yPNFsO7F8GJkiPbYbzU6hGhbNc8fwVuYSEnMdYs+hM32W0R/9OYxcEb++th7NSY1OoaezxE4XZ3GGqw9Vs9RPbs9hYt+nduzlJIokJaBQE5LRz/8cVv8IVv8wzvxlZBzRmT678YLUk91pdobSIx9dJ383QtVNFEVh7dVvbiQ021ufPMAWiLwu1RMvU374WVAUvMoC9bNvrZPp7SF7ehtlPV0OSQpSxCEi8BKHdaezXu2jaBpGJo9Z6Ce/71Hi3jp+cw0Zx4mLfk8GJ6KwFyG67v7fw/lWYTTPyMNDmGmLbtXhwrfmuPyDeVbP7KzL9w87PhQkJ6luiFBTKbRUCul7NI+9SWrXvg+sG+kDPMD9RmpogtbFk7TOvU3sXUsJRU6bsNOicOBRVl/6C2JvY0l17a0XgCRFlNt9iPTwBJ3ZiziLV4gDj8LBx6kde4mgvra+jT0w1tP41Fl54c8wC32UHn8OPZWhfuKVDfuP3S6dS6eJP+2RnthL7Lt0Z5OqndzuI4goxF2eTV5mPeiZAlb/CM7ClSS9tv5ckHhri4jQR09lsEqDOPObK4WuQgQ+UbeFYlg9kfBmBK063cXpBxGbdwkZhTjLMzjLM2SnDmIVBygeeILq8ReRUiSRQv0GZ/ieXlE17MRaxE5jZIsAhN0W6VwJmcolmrJ8cZ2oiChKIjHVZWrvvIy7ds0VPTO2N9HubHM7pYhRNGNb0vvuLgK8/e9aTP/REMW+UXy3SRCkiaoBqtZCxB+cwpr7hQ8FyZFSEjsOA5//Et7cDJ0LZ4AkP383G309wA8RVJX0xF7MYhlveR5v5b1rBaGoGlomS9S+v407q0d/gD04xsBzP0bsudSOfp/Y99Yf9ltNIFTDpHD4KfRsHoTAyJeJnPbmarMbtjXyJez+YfRcESNbRNF0kGLrWbuUiDCgc/k0Vv8wYatOd+4iejqHPThKd/YCzsL0hk0UTUfP5MjtOUJqaHyjLkZRMAtl/NrKNSGqopAaniA1PElqeAI9k0c1bTTLRrNu3gBSxhHC+4D2z3ufQNF0zHyZ/sc/SRyG6Kk0YbtB89I7AATtOkLE2H0jjHzip2jPnMFdWyTyXdzaMuVHnmXgI88jwiAxbJQSd3UBuzxMamic4dIAwndRdQOQyCjEW1sknGxSPPgkxUNPIUWMszRznb5mC5Yjk9SZZloU9z9OanCc7vwluktX7hrJlVLiOXVW3LdZWz5BsbyXdGYQw8ywMv/mXRnjXkA301ipEulsP5qepK/DoEt99fxt97V6V8fxno10DyHDgM65kxj5IsHaCmGlAkLQPXeK2L39xoEP8AAKCqppoaUzKKb53o2raWjpLOnJPbROH79nFQc7gbe6gAh9zGI/ZqGMPTSBtzJHr0wOVdv8+DDLg2ipNCLwCeoVVLPnfdWrrkPKpHrthsmHCP0kRdBtJS8WkqhJ2Nq6SaeUgu7sRcpPfhKjUE6EoOUhUDWCZo2gdoP/iExm+JHv4C7NbqrscuYvEbYbeL0ZfGZyP5mp/Ri5EnG3RdCsgZTreptMJrf9hZPyvt63DwOkFEmEbuEyQsQoqkrsdNZTlzIKcVfmkFGYGPB5flJFJ2Jiz6F54ThSxNhGHkPP0K2dQQQe3aVpglYNFAURePj1NbzaMiARUUBn7gK6lUbRNKSUBK0aMg4Ju9e8c0Tg0Zk9v16JJ0Kf1pVTqLpJHHiETuu2pCemkSGTHiKbHmKtdoYg6CDkxu9n0gDTw3frtJuz9A09TCY3AsDAyKNEYUIaVFXH95p0O8v3pBx7J7DTZXKlKVLZfqxUCdPKomoGiqLgtFdp1aZvIDkKumGT79uNquqEQZdW9cp6KvHd4sNBcqII58LZTcs7p08ggh9OP5EHuDtQdBMtnUXPl1BUlajTQsYRiqajpdKgqCgKxL6fpEF6DxYtlUbRzV5JOEn+P4pAUdHT2cS4UknC5ML3kFG4Hm0wB4ZIT+3HXZhF+C4iDN97vydFRVFVwlYdEQbo6QxmoQ+/uoIIA0QcohgmRq6YvDDCABlF6JkCKCqR28KvrWAWy6hWGkheXCIMUHUTPVtABB4i8BFhQNRuErYSAbPXE5KKMECE2/x+pcRdnEY+9ix6JofdP0pqeILYcwibNcIbKrdEFCVptnaD2vFXerqMG3YZh+uVYrm9R0gNTxL7Hs3Tb+GtLhD7LlbfMLm9D5GZ2n9XL/cD3AAhiJw2jfNvb/25lHiVRbzKIoqikk0Po/TeiTIKr22Xm0RL9dNpXEKKGHdllpvF2JzFK7c+tNCnO39xw7G0Lp/a2XltAU2zyKYHGRt8inZnkSjyEDexV3A6q/QNSiy7gKKoDI4+Sbe1SBT5PTKh4nTXtqhsusdQVHTdpti/j8HxJ0nnhzDMjSX6qmqgqptph6oZDIw+imFmcDsV3M4qgXd3PIc+FCRnOwj//jeVe4APNqz+IazBYfKHHkNPZ1n97lcIahXMvkGKj30U1UqhaBrdK+foXDpL1KoDCrnDT2APj6MaJoquU3vte/iVFVTTov+ZzybeH7qOX12hfe4dvOV5jEKJ7L4jpKf2YZb6UT/5eZz5abylObzlHbha3zUkLVEGn/uxdb8QVdNZeelr69VOUauBls7Q/+yP4i5O4yxO4y7O4K0tJARhZJL06C6kiJPfoUxSAkGzippK0/fkJ/Ary3TnLtKdvYhfW8EolMlM7GXo018CwF2cSfbbi+zciKBZxa8soWfzZPccIjU4jrM4TdCqb0oVxE4Lr7JMamiMsN0g7ra52XQ7PbqLqNuhM32OzpUz68s1y8Ys3rsu1w9we1AUFUPPMNz/CEtrx+nc4DrdbM/SbN+6fcX9hOvVWFx9m0J2Ail36h0lk6+vomLaBVYXjtKoXSIM7l+RjWGkKA8dZu8jf2ldn3R9Snt76Ygk8FqkMv2kc0NYqRLtxhyr829zN6qxPhQkR0tnGPzJL29aLoWk+r1vEFZu3zr7AR4Akkqe7pXzODMXMPuGKD72MbzleaQQhK0mtTf+NHnJ7j1E6cnnWPveV8nsPohqmDjT5+lcPI2eL1B66pN0L58jqFewx3ax+Ke/Q9TtIMNwPawc1Cu0L5wkbNbI7NrP6vf+HBkF98FXRSI8h8Vv/wHrroQoyDhcJw9Rt8Xcn/yHXmpGrp9D1G6y/N0/XjdkTHZ37XMZBsx/5Xd6qSux4dw6M+cSAfHVh+ENn2+F9pWz5HYfJrvrIEauyNqr3yRoVDat564sIOVr5Pb8AqM/8mU6sxfwqyvIMEDP5UmNTCWE8+JJhO8RtuoY+TLpsV04i1eQUURqZLKXxtp355f2AbZELjPC2NDTqIqGrqeoNy9Ra17BsvLk0sOs1c7i+Q0sM8/eqR/hwvTXkTImkx5kdPBJsukhbKtAx1ml1Zmn2rjIcP+jlAt70PUUl2a/RdetcPWlqaoGe8Y/i6GnkhRJ5LJcOc5g+QhCxqiqjmlkCYIuum6xVjtDtbG5JcVVFHKTpO1+QLK09jamkWVs6COEkcvS2jEO7/1pus4qmmaioNB2llmpvHOHKZmrlWOAFIg4wPeb95Xg6EaKfHmK3Q//JIqqEUcB3dYSzeolvG6V3Q99cVNU50a0ajNoRgrdSFHo38vawrG7Ujj0oSA5IghoHXtr/W9F19EyWayhkfX0wf1Cum+cTHmcVHGYpZPfIfI6G77Y3TdO4F+cWW/bEEzPI/wdmqvdcyiY2RID+z6GounEgYeiqlQvv0XoNG+p7M/0T5Iuj2PnB1g+9d2k6dod5lmjSp3OC2/gnbkEQFxvElUaG9Yxs2WyA7toL18g9O6OIVfsdIk9h9j3CJs19FwB3ekSdVqE7ToyDIjaDUBBzyY6DSNf7FXhtBNdSbOOns6gWhax06Fx4jXyR55MdCuVFbqzFxOHZCmRcZxoDIRICM49NrK0sjqjh/NMPlZCSujWA6ozHabfqvPETw5h5w00Q8WwVI7+8Tztio+V0eifyjL1RIk4kphpjcCJuPhKhdVLHYb22gzsztI3mSGOBCsX2iyfb9Na8VBUePhzfWRKJoatEYeSU99aorXis++5Pgb3ZmmtemTLFo0ll7UrXSpXtm/W563OY/cNo5oWUbeFX1vdUvQrQh+/sszKC18hM7GP3O7D5Pc9kvhuRlHid1JdWXdHrp98o1cmP8jgJ34CKWLibpugUcGvrTD48R+/Z/fkhxGuV2dh5U0UFPLZUUAhnx0hjDxUVb8WBVAUNDUpKAlDD8etUm1cBBQq9XN0usuEvWhOozWDoafIpoe4scZbUVQKuXHml9/AD1pEsY8fNFFVnW63gqaZ2GaBWvMiwwOPomk3VHHdAEVRUVWNa5EHBVXVUVUNBYW0XWategovaBHHIVHs3bHmpNi3J0lJtVeS0Xpat/uJdH6YQt9edN0mDl0WLr9IqzaD7ybdx6fiL9xyH55TJQ5dTCtHKtPP3arL/1CQHBlHuHPT638ruo6eyWIODN6/g7oKKVENi3R5HNWwwHc2vHyj5QrR8uaZ5/sCCmiGTao4TBz5xIGLbqVJ943RiUOEc/PqHyklmmGRKY+te4fc6W9Rej7h/DLh/E361NwLwee6C3Xyx1Urcrg+/Ho18nC18ZxMlmz6PEmhOtMXyO49hJbOYhT7MNsN/NWl686DpCLkHkPRFNJFk90f7SPyBHEkEJFY74IgYomIJLoJ2T6Lgd1Z/G6EYWnkhyzGHykyd6KOqimkSybjjxapzzuMHi6QH7KJQ4GIeu01JKi6QrpgMHwgj9tKCLKV0Zl6osyZ76wwsDvL2CNF3BfXkrFjecuZXOx0iAMvqUCpLK8b+W2CEMSeQ/vyaRRFxSz2o6UyiaDVdwkaVcJGdZ1UusuzqLpB7HbRswWQIhGpri0RdVvY/SOILVp3dOcugqLg19+nv+n3JRQUJbH8lzJGSomu22iaSXi9QFXZ+NoTMiaMXFyvRhB26TprdN1rtgRe0MQP2thWYfOQUuJ69Z6VTtIvLI4DUCAIO2jCRMqYrrvWIyO3+cK9fnUlITyuV6frrhGL29fXabqFbZQolPeQzY0RhS6e+/7xybHTfaTzI4BCp7lIY+0C7eYCUiTpt50QusDvEMdBEkWzcteCyO8SHwqSczXfv/5nFBKGYSIMvRfeBbcBp7aAlJJ0aXTTDVN1k2svQIEQUfKiVNQNfT4URUna1AsBUvS26/04FSXRPUQ9gWbvB4WiJrNUkXR6RUpU3eJqZUyynVj/Et4MfrtKpzJDc+EM2cHdFMeP4LdrhG5r27EAnOocCpAqDG3ap6oZ69shrp37+vLeecdRsIG4bLhmyESgJwWKqhH5XZoLZ4mjja6yiqqhXCd2SwS/YeK1oWq9/HFi/y6l6L3oku21VAbNTiV+G8UyUadJ2KwhhcQolJKO97k8IAk7iVAubNWwh8bQMzlUy0bPF4m6HUSQzN6idpPGsdfI7D6AniuSGp26RnJEkqJRdBPVtBGBv37f7zYMSyU/ZDP1VJnf+aU3ifyN5ODUt5Z7989g6okyo0fyrE13kPE1Mvf2nyygaAojh/I8/qUxLrxUYeyRhOy8+B8ub/jOW1md/t1ZrKzOO19folvzKU9keO6v7+biy2uYGQ0FuPx6lcbiDkuwe8JvGYd0Zs7dXKAtJXG3vcl3ZyvETofW+eO0zh/f8vP5r/zOlssrr31rR4f9voSioJomaBrEIoko3kbvP8Wykz57Qt7gRXRzaKpJNj3E8MBjhGEHy8wRxQF+0LqB5Cq3bny7QwgRMb/8OsMDj6HrNn7QZH75dRSSZ62iqAgZE4sg6R+3YyTPJrXXrwlILA9ERBB174jgSBGj6zb54iR2qozvNamunqHVmAYgjjzEfa7ms+xCEn2RgurySTy3vqN3y/UIAwcRRyiqim6m79qxfShIjmrZFJ/91PrfiqqiWjZqKv2ezIjvBLqVZfSxz6NbSU7Ya6+xduE1/HaVbP8kucHdpPvGEXGMlSlSnztJa/kCXqvC5NOJsMvKljHSeVrLF5l7408RkY+d66d/79OY2TKqZtBevUxj7hR+u8LUM3+ZyO8i4xDDztJZm6E+e4LIv3WZvaIoqLpFqjhC6LYRUYCdH6R/z1PXxlq5RGP+FH775jMM3c4ydOiTWNkyqm7gNlepXnoTr7XGyKOfw8qUUTQN3Uwz99ZX8FpriF7lwPgTP9Er8TSIA4e1C6/Rrc5RGD1EfvQg2YEprrz0e3itClJEqIZFfmgv5V1PAAm5Ug2T5ZPfoVOZpTB6kOL4ERRVIzu8D6c2T2PuFNVLPf8JRSV34BFyBx9Fs9OsfvfPCGpVrP5B0mOTDP/Ez6HoOt1LZ2m8nbw8nemLmKV+MlP7yO5/CEU3qL36XcJmQn76P/kFhO+jGgbe6gLNd66lWqNuBy3VQs8VGP6xn6V75Tzu4iz+6t23i08VDOycTnW6mzT/vAoFrLTG879yENNSkRLSRZPKbBdFVZCxJI4ka1e6xJGACEI/xkxrlEZSdGsB7Yq/idQblkb/VIaJR4oUhm1CL0bEkupMN4nchBKvHe2c4JAIhO3BcRCS1tm3EzfaB7gj6PkCAz/zV0jv3Y975TKdUydovfbyjrZVs1mG/sr/GXNgkKheZ/m//GfiVnNHRCebGSadKuN4a8wsvMhQ38PYdgkAIcNEx6KoSQqpt/waJELEaKpxWwRIImh1F2h1F8hnx8lnxxjuf/SOSZQQYfKM7E2mUnYZTTWBRCdzXQD4ttGoXqRRvbjt5yff+u072/FdhG7YGFYGCXTbK8nk9DYh46v6RKWX+rtLx3bX9nQfIUVMsHZdGkNKZBQTvPYiUasBgIpGQRtAyAhHtAnxUVCYNA6xEs3iyfdOtGWmi6TLo8Shx8qZF1A1HTs/yNDhTzH7+h8noQZFIfIdFk98Ezs/QHZgivzIAeLQR7NSLJ/6HoadI9s/hddaRYoYM1PCzg+gqCpzb/0ZZipPum+c/r0fYeHYX2ClC3TWpmkvXyQOXEQU7siUKVUaJtM/QWnyEUQcsXj86yiqnoylXBsr0z9B/56nWDj+jW33pds5UoUhNN1k4dhfoJkWqcIQgwefZfaNP2Hl9AuJGZ5hkR3cTW5gF3Ho4rd9UDUy/ZMsHv86XruKiHyiwE1KOJcvIOIQzdjoabMeNVYUqpfexO/UsHJlSlOPEfpddDtDHPksnfwuQwc/Qei2Eit3EePMXMBdnLk2I1NV4m4HGcf4a0usvfjNxHXV0JCKRCpXX7CS1uljdM6fXI9WxW6SRondLst//t960bSeHuT6KkApCGprLH3t/0hmgEGwMTqhqai2CaqCaL87wzmvHeF3I8rj6V6n++QprBsquz/aj9cMuHCiQXvNZ9/HB7BzGx8XUmx8aksJrVWPdNHAb2/2For8mNq8w9rlDm/+wRzVuW6SwoskfneHsz5VQ7Ns9GwePZWl/MTHUU2b1sV3iLboCv4AtwdFUdZ1rTuGqmINjWCUyuj5AkiJNTKK026DvLWmzPPr2FaewfJhdM1GVXWkFPhBm3Z3mbHBpxgf/ijhuo5FrhMGIWJcr4ahpxkf/iiOW6HRnqPrrDDU/wil/C5su4imWdRb0zRa0wRhF8PIsGf8MwgRoWkmsYhYXjuGbRXv4KpB162QSw9TyO9i39QXECJA1+xbEhtNTcrH+0oHyGaGGR16mo6zTKe7TL01fUfHcl+gKCi9L01S/n77v0PNsHr+RILoDkjSdvhQkByEIGq1MPoHegZlSiI4lpLY6aJEAkOxyKgFhIxQFY1Aeigo5LQ+qtEiCspthiXvHJppY9g5QrdF2NO16HYWOz+w/nCJo4DQ6xC6rSTKMLgbTdfX01Kp4jCaYYMCTn0paZxopTEzJaxsH7nBPWiGhZHKXxtYgcjrEHTr19JbO0DkO8SBi9+pUhg9TBR4WLk+zGwJK3fdWHbulldQM+3edmWyg7tRVA0jlQUUFE0n3TeeeD2oGmamBMj1VJMUMa2l81j5fnQ7S+h26KxeQgIiCtaJ25bn4HUI3BaB00BRNXQ7h4yT1JCqm2T6J1ENk6DawHcaQGJGxzYdtmUUEUdJekoxDdRsCsW6Jk4UvovYYlMpRE+ovD2ulmhvBUXTEpKjae+a5IReTLfqs3q5w6NfHCUOBF47olsPcBoB2QGb4UN5Mn0+VnrzzGorPuG1Q6rTXeyczhM/PU4cCBpLLtXZbvLZrEO74jOwJ0t+yEZEgtq8i9feWQRGMy2sviEKh59ENUxUw8RbW0y6h9+DkL2imxjZfK8xaPu+Gay9r9F7zgrfQ/g+wnVvWaJ/PcLIpd1dYklRiSI38VOSgijyiGOflWriQSNkjBARnc4yYXx1YiCJRcBK5QSgEMYOQdBK1nNWiCIXTbMIIwfPbxDHQeKQHwfUmleQMkZBIRYhrldnrXYW168n+qCqJI5D1qpncP36tscPEMcBzc4CYewlaa44oKUuEYTtXmrsteuO+fpLF+OHbZrtWYKgTRB2CMIufnh3PGLeK4g4JI4DNN3CMFJ3FBGzUkV03U4as/qdu6LHgQ8LyVEUVMtCsyy0dBZF05FhgFHux19bQXohumJgKSlQJIpQMRRrndgkkcT3bgaoqBqKlhCWpJI2TvQh1yn4ZRwS99JI13KbCnGYpAHsXH/iChp6+J1qokvRdDTDRrczpEsjycs/9PG6PZdQESNC/7YIDkDotOjW5nBqCxTGH0K30miGveVYfndrh9qrUFUNTTfRrAyp0nCiC4pD3OYKhp0lN5RUDsShj5UpErjXnEaliKjNnKA08RB2boCoR7yS9NjN71/kO8l1lBIpIhRVQ0QBIo5QNYNUcRgZhwROk8jbvppnK2jFLFo2BUISAVo+DXqPFMQCVDWp2lGTPL2MY1BVRMdBSlAtA+mHyChGsc3k7zhG0XUUTUXGAuEFSC+4bixBBKAnpEcxekQwjBCuj2qZKLYBKIiOiwyjTaxERJJOJeDK61V2faQPEQk6VR8UWDjVJHRjMiUTzVAJPYHvRMRBIk72WiHtNR/R0+cE3YjarEPgxiycajJ8MM/Iofy6zqdT8enWAlorLpUrXQojNuXxFFEgCAPJ6qU27YrPLZ+NqopqpTBLSVGBtzrfa+NwaxO324WiGxjpHHZ5mLDb2l7U/MMOKYmaDby5WaJWi7jZJKrV1ivVbgUhQhy3guNuLdZeq53Zcvm14QWrtdObljfbs2xXGhHHPqvVk5uW15qX1v+/6yXPspuVjl93FEkExtm6MGJpbWtTQyEjPL+B5zd2MMb7F1HoEfbK7VOZfjqtJQh3PglTVI1MbhjDzCBEhO/UuFss50NBclTLpvSJ52kdfR09W0BLpfCaNcyBYRRVQSCIZYSUEkPRE4IjFSSCueDMPU9VKb3009V/ceARum3S5TEUVUUzLDTdWo/qAFyrDbweVz0edKqXj/bSVGJ9eeR18dsV3HqB+WN/cd1L7apQ9M6/NlIIIs+hs3KZ/OgBgnatN1Zuy7GuO/nrKpSUHjGp4TVXWTz+zXXCpagqpalHiUOfbmUGt75Meddj6NdHoqTErS/h1pfI9E+Q6ZugOPEQq2dfSgjM1bFuLMPY9uRlQqh8l5VT30eIcJvrfhNoKtkn9yOBcLkGCmQ/dgS9vwAS4o6LmrYQXRc1baOYBnGzi5Iy6bx4AhkJ7D0j+FeWCatN7H1jWLuGiett9IEiWiFD3Ojinp/FOz9P9qkDSCkJl5IHsFbIkn54F/pAMTEXnFvBPTWNfWACe98YqAqdV04RLFaQ7mZy67ZCznxnhTPf2dwi+y/+p+1fLp1qjStvXCO0i6dbLJ5OCOnssTqzx7ae+UoBb/3R3Jafvf0ntzY8jJ0OnUun6Fy6c4fZBFuVbmxcZpUGsctDGNkCfu3qb+1W++SW+/0wQjgOlT/9w/t9GA9wn+C7NZz2MqlMP30jD9OsXSHwdtZ7T1FUrFSJ0tAhrFSJwG3Sqs/ctcDDh4LkICXC6eJcOgdSoGWytN5+g4Ef+2kgITm+dJiPzqOhEcqAmBBQMBULwb1RputmhsL4YfIj+8n0TTD6yPN012bpVOborE6TG97L1NN/CUXTCTp1lk5886aaAkXTMewsKJKRhz+LlDLJXXdqrJz6Hn67iqKopEoj7Hnu/wQo+J0q3eo8jfl3+1KAKHBYPf8yez/511k69V3cxgqp4jB7nvurAHidKt3qHM350+hWhuLEw+SG95IpjzP6yI/QWZuhszaDU5sn2z/J1Ed/Jmna5rXpVufprM0wPn6ETN84kdtBIpLIFaynmCaf/ilEFKJqOnHgsnz2RTTDojjxFLnhfaRLo2i6nWiPVi8TdLaPLOlWBlU3MTMFpp75MoqiEjgtOpUZGrPv7OyixILu8YtYU8NohSTtZoz1456dQfoRxnAZxTIw8mn8y4uEq3XMsUG0YqYXldDQSnlYrCQeILk0xnAfAP7MCsH8GsZwmezTh/HOzNI9dhFr1zBaITHWimtN2i+exN4/RubJAzjHLpL5yCHUlEW4WidqdCj+2Meo/9lLBLM/7KaYiZNz6eBTaKlM0pSxtoyzcJnC/scxckVEFNK6fApFUchNHcQuDxP7LkauQOi0MLIFrPIgXmWZsNMgO3EAzUrRmTvPwFOfTcrHays4y7OE7QblR55DMy0ip0Nn/gJ+bTOZfIAH+KCjVZtB1Uz6hh8iX97F+P7PUl06SWXp5E2rrEy7SKE8xeShz2OlSiAlnlNjde6tu6av+1CQHAmJiZqIQdXQCyWyRx5FL5RQ9F4YH0kofaIe6YHEy6RfH2MtmieQd78FRBx5tJcv4jaW0AybOPSIApfYdxBxyNr5V9bLl0UUEPTSSm5jmaBTXy+ljnyX2vQxzEyR/PB+GrOncFuriDjEsLIMHHg22U8cEjgNqpff6pWL97QqvbDhwrE/v2Xl0wZIid+psnbxNeLABSmIvA7zR7+K164gonDTWFGQjBWHHq2l8zi1+Wvn7jvEvTLB6pWj6+XgUkREgUvkOyyf+l5SvrmeWooJnFYSSfK7LJ/8blJW2itZDzq1da2OU1tAMyzi0CcKHGLfIY5COpVZ3OYqoZvk6gOnyeKJb2AXh5IU2PQx3OYqiqJS2vUYVrZ8mzdaJN44ynV/h3HiZhz10htCIKMYEVwty70WalKUJJKlqAqKpqJoiTVA3HYQjpfsQ9PW93NVtJzcI0gdGEfNpXFOXEK4AWpPGyT9EOmHdN88R9y8f26o7xsoCVk2cyWc1VnctQVEGJAZ34+i6YTdpC9Z8eATVE+8lERv4oiw3cCtLCZ9t/Jl9FQOVa8CCnoqg57JoZkWmp2mPX0Wv7ZC7LtkJw8k+oJ2AxSFwv7HWH395hOZB3iADyLCoEu3ucjq3FEGx5+kUN6NnS7TN/wQTncN3bABMKwsgxNPIoXAShUw7TxWqoiVKqIoKo3KeSpLJwmDu9dY+8NBcqIQd+YyMoqTnjqpFHomR7C8iAwCTMXGUtL40iH7/2fvT4PkyvLrTvB379t9d499wb7mgtyqKiuz9uIqkRRFkZTUsm5TmzRjmumZDzNm82U+jtmYjU2bjabbTD02UveYWq0mJUoUJYrFYnGplbVm5b5gXwJAALGH7+5vv3c+PEcEAogAAkAACCBxaJXMjHB/77nHW879/8//HFnhxhNCIKgZEzSSJSJ2nuRkD+gm0UDIeiv85ub92zTyM1Kxtp2EsLOCThOcwhDCMNcE1sIwSYLOmp+ESiKC9vKm2+2t3HuGi4pDgtb66lOrlO7y5bX/3mpfWqVEvcYacbsVW72vX7++5bHoNKa3unmr4077SoLuBp2NSiL6q7M4+QrCdEBm/jzCMFFxlKVhbxPCtTFHq1jDZYRlYtYG6dRqYII3aHFoNTC20xrU+jypjhLSXoCzbxzpWBil/NrUkk6SbLRba4QQa/syh8sIQ2LWMvG0c2ACYRoEl+YwSjmSZhezWsQo5rJrot7ONDnPsDY9lPTaWfyDkNjlWiacDH1UHGIVypljddBHWhZxr0Xq9wbvl2vC+MxWwUIaFipJCFYXyHysrGzCqDyUEe6gl41Au97j61pJiZEvYA+PID0PYVrZQiEMSdotknZ7sHBQ2zpGe2ISq1JDuu5tv1NhgH/p4qbO01vCMDBcD2t4GOnlkJa15nGmkxgdx6goIu33SFpNdBTdnSwaBma+gFEqYxYKCNtZ+4w6ikhaTeL66prb+FYQloWRy2PkC8h8Hum62aJy4PGlo4ik1yNtt7Lpy216C8lcDrNcwcgNtmlZ2XevUnSSoOKYtNMm7XYHIb532a4QCNPEGh7FLBYRto0YLI50GJL0uqSddva33uGoGK1SQr/JyvzHuPlh8sVR8qUJcoVRcv0xpJFNW5qWR3XkWGaB4hYxLA8ps+ul25ylsXSO1momCN8pPB0kJ4pof/gOOo4JZi8TN1ZxJ6bpnT1J2u1QFBVqxjhNtcS0dRSBRKMQCAqyiiHMJ6JlnkQ+/fo1xp77Cm5lLJsAUCmN2TuXBJ9hc/Qb85Qmj1IcOUSuNoW0XLrLM/S3IFK3YdBecvaNY43XQGvs6RFUmCVyk6ToKEEHERgy+/dEoaIEFUSZC28/IF5qUvr6q1ijFTCNTCgcxmsERycpKowG+xrL9pUqrOmRTFQ/VELYJlYQQaoIL88jXRt73xhIQdrzM/HzMwCQhgHqprgMAaxlcCUxnZnTW0aWaK3QOkXaLtJ2siEHrUiCHp3Lpykffhm7VCNqZpWetawvv0vYXOax3GikxPByePsPUHztc9ijYxi5fGZT0WriXzhH/8I54kZ92zEi+eMvUDjxMtbwyLrmcCCsj1ZXmP/X/3ItmPWuMAzMQhFncpriK69hj09khMK20UDa65L2eiTNBuHcNXqnTxIvL935oS8lZqmEt+8A3sEjuPv2Y5QrmbFqFJF2WvTPn6X7wXvEjcbWxyoEVm0YZ3oP7tQ09tQ0Vm0Y6TiZoWqakLZaBNdn8S+eJ7hymXh15S6fWyAsE3dymtyx49gTU1hDwxj5QsabwpA08Em7HYKZS/RnLhItLZK2mnfYpEC6LlalSvG1z+LtP4hRKmckdE0Yfhl/5hL+hXMZ0dnhimIS+9QXz2BaHuN7XydXHEUaNl5hZOBmrTEtl1J1L5B1V7RSpGnWbVi48hbNlYsE/TsPr9wrhN6JBKxHjHa7Tbm8btUtbJvii6/S+fh9dHzD+VdSeu31NaIjMagaYyRE+Kq7NkJ+yH6Za/H5R+qT8wzPcCuEYQxW0Tt7OQrDeOj5V08MhMi8dV54g87Vs/iLWWXTKlSovfB5pOMSd9sEK3P0rl/EG9uLXSwTtev0B0noZq6EOzJJ7YXPEzaXMSybpN+jPXOS0sEXMN0CUadBsHyNqLXK8GtfQyUxcbdJWF+iO3tu6+MzJGalyPR//39ZW4HfK3SS0n//DEv/3b9Z+5kzvZfCiy9R+crX11+oFDpJsuqBECTNBvHKMmmvS/7FlwkuX6L7ydZmgLmjx3H3H8SqDWG4LrJQxB4dHdgwZCQnXl7c1vnsHT5K4YWXKL3+Bms9X5UOJhKNDQRdJwntt39G4/vfIe20N9+gkNiTU4z+1u9gj44hbnhnJTF64Gx+Y5tJs0n77Z/SefdtkvYtQlkhMIolpv43/w3W8PD6sUFW/RlUTm7+WTh3naU/+oM7Eh2Zz1N48WWGf+03s+//BpI4kyhIuWFfvdMn6X78Ad0P3tvyO7SGR8i/+BLVL30VmcuvfYdaqWyc+6aKTrS8xOIf/K/EzcaOV3RuwLTzFEqTVEePUhk5jFcYQUorI8SD78Xv1+l3lug0rrB49W2isMu9LgJarRalUumOr3kqKjnCNMntP0T39EfoGwswIXCn9+Ffvkja7aBIaaRZ2+WG0FijmY8vPxQ9zjM8w73gYRGRZwTnJmhN4ndZ/ejHG2wU4l6blQ9/uLbaVEmU5eEtXiVYNjaMjSd+l971S4SrC5knkxBZLEkSUf+kPVjdp1lsSJqy+PO/zKwqtHosbszW8AiFF16k9LnPA+BfukD34w8Jr82iAh9hmrj7DpA7egzvwKFMG7YNguXPXCS4dnVghyExy1VG/+4/wB4euafjE5ZF4cTLFF44AUrR+fA9uh9/mLWkBkTCyOWxhkewR8ewhkfofvje1q0ww8Aslxn77b+LNTxK2usSXj9L+5231oiHzOWwR8eofu2XMUsliq9+FrNUZvkb/2njQ19r0m4H/+I5wvnrpL0uwdUrREuLg8V0Vj3JHztO6fNfwMgXsIaGqXzxK6x88z9vXmkyDKzaENWv/SLCsvAvnMO/dIH+xfOofg+ERNp21locm8A7eJjeJx8SXr2y5XcoczkqX/k6ucNHEbZDcOUyrbd+QryyhPJ9EAJ7YpLSZ17HmZzCHh1j5G//Dkv/8d89lIoOZEMq7cZluu055mZ+jJBm5jY/CCxNkhClsmtEqZgkCXhYVc6ng+QMTrYNJhsCDM/dEOugSBFITCykkEA2Rv4Mz/AMGYRtInMuRqmALOWReRfpuUjXQVgGwjTAMNYE0jrNBNVZ1lGKjlOUH6LDEOWHqK5P2vNRXR8VhJA8ZtKl9Zr/1PrPsvDODOvj3jpN0Gly22t1EhF3Y269KScD3c7ND40bWp7HBXffAZzJaaTjkna7dN75OcHslYxEJEnm1xTH3Mh/yx9/flvb1XGmkwFuKOfhPgi1kctjFktIL4eOY7offkAwN5s9nAeEI7FaJO0W0eICRj5PtLK8ZavKLJbIHT6GNTyKjmP8ixfofvIRwezVjEQAom2RdrsYuRyVL30ds1TGmZzGmZwmvD678aGvFJ2PPkCYZqa9aTZIut2s0kRWydFpgjU6jrt3H0Yuj7tn34ZKzM2Qto2ZLwzy7sCfuUTv7JlB+23wfRoG0naImw2i5UXi5SWS7lbmgILckWM4E5NIL0fSbtH66Y8IrsyQ9npr21RhgDAMVBhQeOElnKns8+r0KumW234QaFQao9KYNZc3IUHIgZRpPR/wYeOpIDlaa1QQYA8Nk3q5TKhp25kl/k3MXGKQlyUMYSLISA5AlPoonq14n+FTCEMiHRuZ9xCeg1HIYVSLmMMVzKFKZj5YzCMLOaRjZaaDpoGwTIRpoJM0EzUnSUZwwhjV7aN6fdJOn7TRIWl2SBsdVKdH2vPRQZTplqIke1Cmu2mhsd0b7yav24Wdf3fPPqzhEXSaEi0v0jt7GuXfRPKUIqmv4ouB4/g2Sc5OQZhm1koZtDHi+ioqCDZUVHQckTQzgnE3mKUyuaPPISyLaGkB//JF+ufP3LK9mKTZoPPh+xRffg3DG8csl3H37iOcv34bWQsuX9pib5mGK5qfI7gyg1kuY5bKmLXalho4IWUm+h78Pu20SdutjdEtaYry+yi/T7x8F9sHKcgdfQ6zXEHHEdHCPN2TH932GdJOh/65MxhejvzR55C5PM70XuJW8yGRnNuhdRY0/KivkqeD5CQJvQtnGPrar6DCEJ0mmMUKnY/eXStrCgSeLHDQeYVEh0Rqvdzpqw6JfvSl5DXcMMvbgv1vC0rvypvsPUMOgnMe4KvYXQ/NWyC4dxGwZk0Yu3PHkY2ry0IO+9AUuVeO4R7dhzlcRnq3T8xsuRlbgm3d/YVao8KIeLFOeOEa8dV5orll4rnlbLx9pz/fMyCkxJmYwCxXSP0+vdMn16svtyBu1PEvz2Q6HfPRPRaSbhcVhhkJMQwKL79K+523sgfvvZ4TQmCUSuQOHwagf+4s0cL85roTrUnbbaLFxUzw67p4Bw/Rfvtn99XijZYWSDudQTi0g5DGpg9zNZhy0mmKMAzcg4eyv82ZU+v2EPcCaZA7chQjnye4Nkvv9CdbVtRUv09cXyVaWsTZsxd3z17C2StEc1tPtD4NeDpIThzR+eQD+pfOZyesYZB0O9mFMjjBBZK8KHE9OkdPtQj0+mrmcbesCl94mdzrL+CdOHLf26j//rfwPzpPsnz31c5uxtA//tu4x/dj1sp3f/EmUH7I4v/rXxNfW9p1Y9NGKY97fD/D//vfvaf3hTPX6X7/Xbo/3Nwa/p4gQHguhS+9TO6VYzgHphCeM/DmkQ9GLu+2a8fG3jOGPT2ajdhrjY5iwpk5/I/OE16cJZ5bQbWfDQE8MITArA1lY9NSopOEaO761rEUSmVj86urWKOjj+wwdRjQP3MSaWZVpNov/BKFl18lvHoZ/9IFeufOoHrbOx+MUhmzUss+MxnxSDp3rlLErRa272PlC9jDo/e90Ex9P2v73cCNhestpEUnCUl9ldZbP6byxhcpvvQquSPHqayu0P3wPXpnT5F2OluS0ZshLAtreBTpZFIN1esTzs/f8T0qDImbDZw9e7FqQ8hc7n4+7hOFp4LkAINx3F62KhDZlAEqGxN3RI68LGEKm7IxjKvy+KozSLSFtqqT8BgrOYZEWGYWvHgf0FqDIR+sErRLICwD6Vj3/V2g1Hpq+G6DEOsp4vcAI+diVAoPtmvTwBwbwn1uP7lXj2GO1jDKBaTnZgTnYUMMMopv/G0MEFqjTQPn4BTWSAX1xgmi60t0vv8O4dkrT4StA4AQBpbhEiW7i5xlfi7ZWDdKk/bvYrCmFGngYz3iilr//DnSXpek3aRw4hWscgXj6HM403spvvY5gtkrBJdniJYW79iyMhwXw3HWrv/qV3+R8utv3nHU3BoewcjnswqM67ApyxcCs1LFHoifzUoV4bhIyxrkyxnIXA6ruj0T0bTXpf3WTxFK4R05hlmu4oyNY7z5JfIvvky8uky0sIB/6TzR4sLW1R0pMXK57NoSAmfPXkZ+87fR4daDNNLLYVYq2cdynPue4rsVxepecsUx0Jqla+/fl8+N7ZZwczUM0yEK2vTadyZs28XTQ3IgG4tUt+fzmJg4IktG1WgsbJTIoUV28gjd3LEbqiU9HLOARuHHLZR+dAKrZ3hKYZnIvHffbzeqJez9kzgHJ3GO7sM9vi+7OT9uMji4ORt5D+PG5zONx39c9wCBxDZylLwxljsXHvfhbIC4oXUBQGci6jsRGK1vF1o/AqSdNuG1dCBiT7BGRjFLFcxCMfP0KRQxSxWihTnC67P4Vy5v3oIy1kelAeyR0W3nH+k02fSrka6bibfHJ7CGR7GGhpBe7jbSLiwLOagg3XVfSUK8skz31Cck/T72yChWbQirNoRbrWEPDWEPjWCWSvgXzxPOXSft927724lbRtiNXA7pTrOd541Ok4HEYVuHfFcUypPUxp5H65TluQ/vq+VnOQXKtQM4uRq9zgK9zh0I3j3g6SI5m0JkJpJkoqdm+nDze1yzSNWbQqNY1YpYBSiVonSKfiZufob7gLRMjMJ9lJWlQLoO7vF9FH/pdex9Exi5+ydLDxtaKXQQEi+s3vfN15TO4AEk1uJBUhVlTsXSQuusuqvRaJ0OFiEgxWDicvDwSlQ0eK3EGLi1CgRKp6Qqm6wSSGwzR8EdYbh0mGb/OqmKM8PA3TC1eUPLNcC2yONj0kWlvV42Tj1zEe/AQdy9+3H37MOZmsaq1rBHRkn7xwguzxCvrJD0ultqbW4gabezsX29jb+FUpng+ebPLyX22DjVr/1i5rdj2+ggzKQQrRYq8FFRgIpjjFweZ2IKexMH6E2hNcHlGYKrVzArFdw9+yg8fwJneg/S9TLNzIGDOJNTNH/4fYLZK9nxbdjGxs+rojBrdW3Vkrz1EIIgM0HcAXiFMWpjx1FpghAGkHCvF7FleZSG9lOq7cdpVFm4/LMdeWY+9SRHo+jpFr1ke4moD4pOtEQ3WqXoDDNROI5t5IhVSMO/yqp/77EKz/AMwraQ99quEgJjqEL5V96g9CtvgLkzZemHibTVJV5YJW3c37SHQHB47CuYZg7b9Ch54yx3LjCz+BPy7hBT1Zdp+4t4TgU/atLuz7MyqL5M1k5QdEexzRxSWFxa+jG9cAXXKnJg9AsIDCzTo9G7ynzjE/yoQc6tMVY+TjW/B9cqcXzyl6n3rtLqz9ENHn8Yahr4a3EvSInwvE11ImuQAmO7D+mHhTTFv3Ae/8L5zFOmVKb0xhcoPPci5tAwuedeoNrrUf/uX95mBqiCMJMrDLD8J39EcPXKxmmye4B0XEZ/57/AqtZIA5/g4gXq3/5zwuvXbvsO3X37KX/hy9ijY/e2E6VI6nW69TrdD9/HLJXxDh0hf+w5Cidexjt8FJ2kGIUinfff2fBWrdSGFqR/4Twr3/oGSf0e8gl3EeIoy3SU0sLLDd3s5vBAeOpJzg0IJHlZxhEuoepjCZe99nF81eVqfGbHHI8FEstwKdqjWEaOMO0RpX0cI8+e0sss9s4TpTsXPvYMTz+EbWGUtk9yhGWSe/0F8p9/Ee/5g1kLCHa9ZiueWyGcmbvPdwtsq4Bpuiy3z+JHLcYrL9ANlklUiCnt7Hedc4T1LkqnWQgsUPTGsI0czd516t3LuHaJycoJFlqnaPavcXburwBBJTeNbeWpFvbi1xv0wzrLrXMEUZtKbpoLiz8gVTFK7wLBu9YkjTo6CjPXW8PAGZ8gun5tg63GzZCmhVkb2j0RIGlK3GrS+P53iZeXyT33Avnjz5M79hzNH/+A9BYunHZaJK0mKo4QpoU1PJKNpN8HyZGum5kPVmtgGPjnz9F+9+dE83ObkkTp5bLMsgdE0unQPfkR4dw14naTyhe+grNnL9HKEtwyd6CTODP8i8JMF+R52KOjTyzJUWmcnatSrgV67gQ+RSRH4MocaMgbZQwsGukyOVlACgP0ztBGx8yTt2pEaY+l3gUSFZCqBAFUvMkd2cfDhLtn/5qIO25kF0vpldeJGyv4V7byi8hgj47jjE9mmT7SIG6sEtVXiFc3D+N8hu1BWEamybnTKnzttSaFr7yG98pRnINTyNxjXpnfA5KVBvHc/Z4rmiQN0UDeGcY28xjSohsskapoUNlX+FGTJA1vep/Atcrk7OqgiiMxDGfgYiBwzCLV/F6Ujsk7Q0hpESXZQ1NrRaIikjQkVcng57vn+tZJQlyvY1aqSMvGO3CIzofvwyZCXKNQxBoZ27au5JFBqcwvplEnbWeO0kY+vxbeeTN0kpB224TXr+Pu24934BBJo545Hd9rfIE0MoNZI9OIpYFP0m5tqTVxJqYwbooaum/oLPAz7XaIVwYOzY6TZWXd9lqNimPCa9dw9+zFLFfIHT5K/9y5gVnhk4Us9DSzEBE7SLQ/NSQHsiqLKUw8WSDVKcvJNabtoww6+NsWqd0JhrCwDY8o9fHjJhpFqhPiNMA2c2sagN0KZ2wS0iQjJwOSkz/yHP6VS3ckOcJxsIdHye09iIqiLDMpSbLe+TM8GAwjm8gyDbjDWLywTOwDk+S/8BL2nrH70/E8Jug0JV1tkSzdfzhfqrJkasvMCGGc+PhRc1Cx0Sid3kJwMkhhYhg2Upp4dvag6gbLKBSeU6Va2EsvWMG2CqAh4XYdw64US2tNuDCHVa3hTE3hTu/FHh0jXlneYLgnXRd7bBx3/4ENwt1HASOfz0a+tUaFASqKbvN5ka6LdD2EnWmjVBSxFZlM2h38SxfWAjXj5SXiRoOk2UBFAz+egUOzMAykba+FbSbNxk2TWDoLyIWMaFg2hucR37zQEAJhWZiVKu6ePZilu5McYdtIx0XaNqnfz5yjk3SDbkiYFtL11hLedZJsPSGmFP7F85jVCmaxhLf/EM7UNEmjvuYZh9ZZu9IwEIaJsAefpVHPRtUfUn7VvcJyChimDei1yeedwNNLcm5Z9WoUvbTJIecVBIJ2uoqvuxgYmV/HDq3A4tTHj9vUcnupuFOAph83me+epu5vM936MUIIgR6w6XuBXR3GyOWJ203qf/3th3Nwn1IIIRCGgVHMkTa3EFyaBkatxNA//A3sPWOZM/ETBO2HxMtNkqUH83mS0qDRucpq5yJKqcF1fadrWxPETfphnW6wzELz1OCnmnJukrwzTBC1uLr6DiOlI+Ts6sZ3D+4xUphIIVFa3WV/jxb9M6ey2IKpaczaELWv/RLtd39OcOUyqd/PDOn27qdw4mXyz5/YphmgGJh23vhPsWGSS8DggWpsbI1tYu6XO3wMZ2oarTTB7GXC69dIe92sbQFgGLh79lJ85VXcfQcgTQlnr6Cj26doAeLGKu3336b46mcwiyWKn/kcztQ07Z+/RXDtKioKQEgMz8MoFHAmpnGmpxGmyepffitr9WiNDiOSZh3SBG2YOJOT5I+/QLi0uOZhIx0HqzZM7eu/iLNnP4bncbe8a3tkDHffftypPfTOnSZaXMxcj2+Y1koDa2go0/i8/iZImRG1rVpQWtN+/22c6elsGm18gtG/87u0fvYTwrnra+07I5fPIjQqFeyxCfJHj7HyZ98gWlzYOgfsjtj4fBAbTodsavKeNOxCUKrtw3bLaJUSRzsn6Xiy7oRbwTBwxicJF+YQUmJVquQOHaN/4Sxxs4FOYjSavu5wJvx51o8nRaO5HJ8i1DtXZi44I4zkD9EJF4lVhGcWd2S7ux1pv4u0bNyxSYxiibTTYTfd7J94SIFRLZF2+reTHCnxXjhE+Te+jL1/YtdrbzaDf+YyyWrzAbYgsM0caMFE5UXGyscBST+sc71+ZxPFVn+OgjtKOT/FSClzy613r9AJloiSLpPVE7h2KSNNOiWM18UgYdwhtAp4dpkX9/wmK50LtPpz9MLdoYuIFubpfvQ+aE35zS+RO/YcuSPH0GmCimOEZSMMSdJsEly5RLS8TPnNL265PWHbuPsOkD/+fObDMxidzh6gGQE0SmXGfufvkfZ6WbROHKPCAP/KZfpnTm18qFoW7oFDOBOToL+cLTjTZOBarhH2wPdmYGgY11dZ+fNvkGyVQJ4kJPU687/3PzPy67+FPT6Bd+gI3oFDtxOQwcMYIYiWFzdU43SakLRbNH/6I0qfeR17YgprdJzi62+StluIQQtJ2g46iVn+xn8id/gohROv3NF3ShgGZqlM4ZXXKLz0SnZMepD7lqZI286qTFKANEg7bVpv/Yj++a3T61W3S/0vv0U4O5uJn8cnGfnNvzPY9s07z1qwN9z1hWXes/mnNGwKlSkse2OV2M3V1r7T6uhxlLo9223T70MYGJZLqbKH4ckTGKZLHPZo12d2bNLvqSA50rYpv/xZVla/hbfnAPb4BDqOKH/2CzTf+uFa2wUg1htLnaHq72huldaKJA1ph8tUnHFsY5ClhdwdY6UPCWmvi391BrRi+Ku/Stxq0LtwhmhlaZDY+2TCKOZQUYwOH6NZJGRahHIBIcVtt4786y+Q+8xz2Psn12/cTxjCS9dJm/efoWNIi9HyUVa7M/hRkzjtI4XJobEvsyBt6t0rdIOVLd+/0r5Ao3c10+cBcRqQphF9ITkb/yWpSrKqkFYbWs4aRS9Y4dz8d9AoosQnVbe3xB4novl52kFA0mmTP/4CVrWWtYBsh7TbIbh6BX/mItHCPPbYeOafsgWEYeKMjZM//nxGkOR66+dGBUgYRuZ1U0sHztaZ/41WCv/SebiJ5ARXL2MWCiTtJlZtGLNUQphWlu80aBnFrRbR8iLh/BzBzEWSRuPOYaBKES8vs/Ln38CZmsad2oMzOZ2Z+FmZOFjHEWnfJ66vEC8vZVWPdmtj9T+Oaf3sJ6StNu6+/djjExj5jMzpJCbtdAhWLtH56H2CyzOYhSLJnn1YQ0NbHlpcX6V/4RxGsYgzPoEsFLOWmWWDBVqlqH6PpN0mXJijd/Ijwvm5uxo5Jq0m3U8+JFycJ3/8edzpPRilMoaXQ5gmKgpRQZCZLjbq+FevEi0ubphG2w4sO8/Evs+TL01s+LntZoGjQkj2HP2Fwfe4HZKS6W9M08UwXdCaKGixfO3Du1bFtounguQIITFLZYRlY5YrmLkCvfOn8PYf3qT0uvGL2+lgzijt04mWCJIO2hkjVTGJ2rqHvOuw1m++7Rd3fluaDsikBsPEsB2c8UmElATXn9zR+cIbz4NhoHo+adcn7fRRPR/VD1H98JFFRwghMo2N2LhKtKZH8U4cxjk8jZF/MJGxTlW26vbDLEQzigfhmyla6fUKkhSDh3B3TW0AAQAASURBVJoBpoG0LYRrIz0H4dj3RLJurDbja0uozsYb+fjxEm7RQpqSwrBDZzFgeaZD7KeMHS1hWBJpCLqrIe25GKUUpmFjm172fQmLIG6jdUqU9O7oSBwmXdjiTxn7dy7nJyqkEyxu+zM/aqgwIFpeynQvfoBZKq3pUNJ+j2h+jmhxIRPWKkX7nbeIG3Wipds/k04TopVlemdO3ZtbrlKE89dviytImk36F89nAulyOYvlsawssRqNTlOSbncgIF4mWly4o4Px2nHG0aD11SOpN7IE82Jp7Xlwo7qUtJoDzU799haY1iT1Vfrnz5C0mlhz15C5HMK0svf3e8T1Ov6F86jAJ5i9gjBMzHI5O8ZNHtKp7xMtLtD9+EPCuesYuVxGFgfmnDpN18hItLpMcHkm+87u8sDXSULSambJ42lCvLy0lsklDCM73ihC+f0s0X1hITMYvEc9zo1WUpqEWHYeyylhmOvXvBCCfPEex+gHiKM+fneJ1sqlgdvxM5KzBg2oJMEqV5GOQ+r36F+eofTaGzvGBreLIOkQpT6JCohVQKpjwqS3Y5qfhw2dpmsiNSATIm4zOC7t90j7PYLrs+SPPEdu/2EM13uiSU7xyy9jjpRRfkiy2CCaXyFeapKstomXm6St3lqEiE7Sh1fxEQKjlNtQyRGWSf6zz+M+fwBrbOvV46bQOjPfSxU6TrL/hRFpp0+y2iStd0jbXdQgNTxLG4+zSpFpIBwb6TpZcnkpj1EeJJfXSllMyYAECcvIJlQGn2HTQ4niLKizu05ypCk48uUxKpM5NHDg88NceXuFj755nX4j5IW/MYUQYDoGyxc7zPxsldblOfYMvUbeGUJrhRQmS+1zROn9aA6eMqQp0eJCFhNwB4TXrhJe2/p61VFE/8wp+mdO7chh6SgknL1KOPsQ7hGDhPWkvkr/3On73ky0tLgp4bsVweUZgsszd35RmpB22jv2/W2A1ug4Irh0keDSxZ3fPhBHPZavf0CvPU++OE6huhfXK2NaOQzTQmtIov69Pe8Gmth+Z5HVuY9prlwgjnZuYOWpIDnobMxw9Dd+h+7JD+meOZlp4yx7sCJ4dDBkNl0VRxnRkcIkfZwJ5/eIuN3AndwLaBACe2QMFfTXhHHbRbg4jzu1F2E82afY4v/3j7FGK5ijFZypEZz9ExTeeAGjlEfYJmmjS3hlkXhhlXBmnvb3diBEczNIgVktZ9b1DMIu901Q+ltfue+cr2SlRXRtkeDUDMHJi8TLDXQQPVAvXHgO1lgNa3IEe/8k7nMHcPaMwVZC6CQlmrmeEZyb0uMLww5e2WL+dJOP/+w6b/xXh1i90sUtmpRGXfqNkL/+F+fJ12wOvjnC5/7BPr7xf/uQM3N/cd/H/gzP8Ax3htYpncZVOo11Uurmh9l37JcYnX4VrRXn3v/32aTjdranFDpNCMM2UdDmYXQ8nuwn0AAqCFj5zrcQloWOIlQcgVIs/+U3SFrNR3osOatK1Z0iSn2q7h5MadOLm7TDJZ6ElpV/ZQZ7aBRv70Fyg3Zf+8N3COav3fF9zsQ0uf2HcCf3oJIEaRj0Lp17oqs4APFig2SlBWdn6Q4qFBgSo5TDnhwm9/Ih3KN7cQ5MYO8de3gkRwhkpZj5R5gG9tQIQ//w15HO9g3IdJKguj69d07Tf/sk8XIjq9QMKjlZxe7BDlMHIdHsEvHcCv4H52h/80cYpXxGevaOZ6TnyN6BlkOg4wT/k4u3tf06yyFJqJg6UaW2r0B53OPUt+eo7cnhlizqV7NhgV49RCWawsiT4wf0aYOwLIx8jqT5aFznhWVS+vpX8U+eJqnXUf7ORBdsvi+L0te/gv/JKZJ64/bohU8Bwn6doFcnCrqYlkenOUuahNus5mTtav0QpxKfCpKD1pli/5ZqQ9JqZK2ERwgpssC+scJROtEyObMCqB3z4XnY0ElM//IFotVl5KB/HSxcJ+3d2RE66bTwr1wiqq+seVFEq8tbT0E8KRAgc1lLxhwqYQ6XMatFjHIes1xAOBbJSpPo+hLR7MOz8hcya1chJfbecbxXj2NNDN9VaKwHY7vR1QWiK/OE52eJZheI51dQfriherIj0MBgUkRHWQVT9QPSbj+rdl28hjU9ij01hjkxhMy5hJeuwS3XqU41Qgo6yyGX315BGoL2oo9btMhVU3LVrHpleyZCQtTbBS7Dz3AbhGVh1qo4e/fQffvdR7JPnSqCcxdIWu2HrpnTaUpw/sJ6TtanEFor4qhHFLYxLQ+lkjVvqt2Ap4PkAMKyscoVtNaoMCTttpGul6nSH6H7Y6IiwrSLbeRY7l1C6RTBLrFJ3yaipQWipTv37m9F2u2Qdu9/Oma3wjuyB3O4jFHOY1QKawRH2CakinipSTy/SrzaIl68fyO7u0IIjGIeo1zAPbIX78RhpHdnd1qtMr1NNLtI8MlFgjMzBGeurJGPRwUdJ6SNDmmjQ3RlHnn+Ks7B6SwwtFYiur50m5OstATCECR+Qr+RVWtyZZuon9CrR1Sn84wcKuKVbEzHYOnC7jz3hGlmRHOburanCcK2MYdqONNTuIcOEl6dRfV9VBigU4VZKWdTVFJkLr/tDjqOs8kvz0M4djaZapqk3S7KD9BxjDk8lFU0hQSVkrTb6CCbEhKWhVHIZ9+1UhtM5czhoXU/Hw1JvY4wTaTnZkaDG/bl3/U6yfZVyKbRlNowlSZzOWTOy4TOOqsuJc0mOshiNox8HlnIAwOzvyAg7XQxR0cGItM0m4ryg0wgnKQgBGatmm1zMFKftlroKMaoVJCOveZZFK8OhNQDYfFtn73VRIcR0vPWj1MI0nYnq0YNrkezNphIG4ydJ43mhu3eQBz3icIOucL9iY4fJp4OkiMN7KERKm98GZ3EBPPXab/3FrnDx+mfP0Pae3Q3wE64Qj9uYkonm7DSKlPNP8Xj408zRv7Jr2MNV0k7fcLLC4Qz8/TePUs8v0q0UM80LI8CQmJUingvHsJ9MWuR3Qla60zQu7DK6r/6BvHc8qM71rtAdfr4H57D/3Br74981UFIGD1corY3j2FKmnN9Tn97npVLHQ68PsQX//ERDEtw/aMmH//pndupO45tRGwAGJUyOgxRQXjbZNHTDrNWJf/SCZz9ezHLZcpf/yrBxUsZ2fF9im++gVkuIWyLeGmZ3nsfEM0vYE9N4h46iDUxnpGaaoX+x58QXLhEvLxC+atfzqbDTBPV9+m89XOi2Sw006iUyb90gsLnP0f9P/0J4ewsqtsDw6D4xS9g5AcP9FTT/PZ3MCsVnP17scZv2teHHxNcvEQ0f+eFnlmtkDvxYrav//jHhLPXUYOKt7N3D97xYxilIjpNMasVOj/5KeHlq6gwwnv+ON7zx0FD2mwSXp2l994HlL/+NVApaa+PWSoSXL6Cf/osaauFsG2Kb76BUSoibIu006X707eIFhbJv/IS9uQEwjQxigUaf/5t4vl5VL+fGe19+YtrZEYnKe0f/YR4bg7nwH68I4cwigWEbdN9+13Cq9dIm00ACm+8jlkuZ5460qD9gx8Szc+vkcobiMMuYb+Jqu6+iupTQXIM12Xo679C/Yffxdt3ELNQBCHJHzpKcO3KIyU5mpREpSQDr4wwfRZr8CQjnq9jFHLIooc1VsseVmmaTQQkKdHc6qOxRRcgizmqf/+Xt2X2F19bwv/oPM0//h6qHz5RVQRhCF7+zT3MftDg/f94lfrVHlIKfvu/fY3CsMv1j5v81T9dn07RWrODLvB3Pz7bxnvuGP7ps1s6796Ad/QIyWqdeGmJpNF8NAe4SxAvLNJVHxAvL+Ps2UP9T/8MlMIol7CnJhGOzcof/Sek6+Lu20v5F77G8u//wdr701ab+p/8KfbYKLmXT+AeOUTcaOAcOsDqv/8j4vnFLOLhpusvWV6h/eOfYI+PrflzCdfFPXwIHYW0fv42SaOJWatS/fW/Qf+jTwBB0mzR+MY3s3298hLu4YN3JTnx0jKdn/x0sK9NHu5CEF65SufHP8UaG6X45uuDClKD4uufZeF/+p/Xz5/B9WlWygQXLtJ77wOSVmvNJVrm89gT4wjHpvGnfwYa7MlxKr/ySyz93r+l/YMfDiYfTbznjuHsnUbHEdHVPkiJc3A/zb/4K8JLl1FBFm9hT01h1aokrTb1b3wTa2iIwudfxygW6fz4p0BG1vqfnKT3wUeovr/lva61cpH26gwzJ79Jukl0yuPEU0FyICvNJ60mKgoxbnjjPIGmaM+wu7D6b7+DLOYw8i5mrYQ5UsGaHMI9ugcj56CihHihnk0qXV+m987Zh3Ica7qbbXiTBKdn6P7sY/wPzz9xBAcApbn2UYP9rw8z/VKVoBNjeyZX36vTuJatlFW685/JmhjHObAvK/fPL5A0GgjTxDl8GOk4BBcuovp9ZKFA/jOvInM5kuUVknqDpJ61KnMvPo9RLqGVIl5YRJgm9tQk1tQEpIrg4iXipaVH3jJ8bNAaPTAEvNECka6HNTSEPTlB5Re/njnxGiZJe12/p3wfNchVUkEWxSBMCx3FtL/31+Sefw6eO07SbNJ99310eBPZVHqDdYgwDMxqhfRGuygMSdsdjEoFpIHyfQjDtX1l4v7tCfr12r428cTpdEi73cz7xvezTKp8Hun7GeFNkttJQ5qiepkZ4M2/k46Ttf4mJyh99cvZ7wyDpNVC2hbe8y9hlkvoVGGNDKH6/nrIpVJ0fvCjLM9r337SbofOz36OWa1gjY5g1qpIx878iczB9zFA52dvYY2MUP76V1G+T+fHP80MBG8xjNT6RmvwWSXnoUBrTer3sccnsCpVjFye3MHDmRh5l4SPPcOTiejaMkiJdCyMWhFrtIo1Vs3IzmgFa6iMcXQavW8Mc6j00EjOdqBTRbLSpPfzkwSnLj1Q2OXjhNawermLV7ZwChZprDAdyeKZNp2lhzO9IktFjFIRaVsk9eZA/5EAAh2GiGIBa2SYZLWe5TtZFqrfz7QbA8GpUasiC3m0UgNtQ7ai1WmaTbYFIc6+vSTN1qeK5IDeaByoBg7ISZppPNLs39VNrr43qqXZvw/u4UKAyojijRaQUShgT04SXrm69b1ea3SSZIMUg6k+YRiDNPbsdzfMT7OsLbEjC+SbgzV1mq61OLXSYG4eqZDFWqS3OzprBUmCSlLSVmsQvqkyc8daFbNSBilJG03MamX9+xp8/uDSDHYcY9VqyHwOe2py8NlTVBhlLtKACkLi5XVn8PDyVXQYYY2MYJRLWJMTRHPz6Ic4sbbTeCpIDiolXl0ht+8gVm0Iadnkjz5HtLqcjZM/wzPcJ4RjrY2Nq15AdG2ZtNXDWFglqhRxD03hHtuDOVJBPSL3482glUKHEcEnF+n+9CNU+87TcLsdnaWA0381/8j2Zw0NIV2XZLVJ/+NPsh+aBtJxiK5dR6tMKJt2e8TLK6StNsH5i+sPZiGwJ8YzHdTySqYRAdyDB1C9HvHKCvHKKrXf+k38M2dRn5Iuth5UK6RtIwsFdBSho+yhmtTr9E+fGSRh69udjDerQAqBCiP8s+dwpiaxJiawpyYJrw7Cj01zTXuSpZe7qDAkqddxDx3EKBZBZdqdeGUVnaRr4uB7hdhkX3qQ1TX4ALd9Bh1FqCBAOjayWMzI7g3SN0hX3+xQMiLSJKnX8c+cz8TIg5a5d/QIIEjqDYJLMxjFAjJ3U7aUEKgoIrh4ibTVxjmwD3tqkujaHEm9Tur79E+eHvy90vW/gxDoOCacvUbSaJJ77jj25ATJap30Gcl5tFBhSOPH38OdnMYsVxGGSdxaJXgYLprP8KlC/jNHsadGsqrNxDD2nhGka2erqIEYuf/hxUyIfH3rbKSHCa01qh8QXZ5n9fe++fhztp5ACDtrT9xseulMT2ONjyE9j2R5efDCbHV826NIgLCdLJDyFp2OCsI1P6IsvfvT00ZP2x1U38eoVRn+u79N/+OThFeuEl6fxz14gNpv/kb2EO50CC9fofvuwGdK69uqKcIwMMslan/3tyGOs8pFr0fruz8ApTKDzOkpCq+9ir1nOiOo8/OEV2fpf3wS7/gxSl/6QuanplKa3/pLzGoV6d55SnEzCMfG2TNNfrAv4djEcwuEV6/S//jk5m/SoKKIZLVO/8OPGf7t31qTWYRXr9F7+90tyZbq9wmvXcc9epjKr/4SGAbaDwhmZgguXsI7fhT30IFMezSY1gJASoxcjqG//ztr1h46TWn++V8Rr6wgHQfv6GGGfve3AYiuzhLMXCa8fAXpedR+629lIm+dxfU0vvmtDRW3JwFPBckRhokztYfii69g5PJZCqxS6M+lrP7g28Sry4/sWCzpYRku/bhBxZ1AYBKrgG706I7hGXYOpV/6LIbnkKy28c/N0v7ee8SLDdJml7TrZz5MqVqLSHgsUJrw7BWaf/z9ZwTnPhHNXsM9dIjCKy/j7JkmXljKYikMA3OoOkhsFtzIU4rn5yl++QvE8wtE8wskyysEFy5Q+sKbuAcPkDRbxEtLm2TnfcqgFMHMZaJ//fuD2IFkrRXV/O4P1hO7lV6zEQguXyGcneUGGUw7HVrf/T6QVUJWfu8PyNiAyNzuw8ylW4cR4eWrxHPzWTsoVWiVZuPXWtP8i28PUscHuwxC4noDMbMexZC2OzS//V3uVtrRYUQwc4Xo+tzt+wKCCxcJLs2sWQek7Q71//wNdByj05Tue+/T+yirGGq1rlda+YM/3HIKT0cRre/99WB8PjtEnSToNMnEyEKuCZU1es3gM+31WPm3f7j+naHXxMfBhYsEly+v6Xey1mr2fSnfp/4f/2TtvAeR6aOeMAnIU3EFCsui+MLLhPNz6CTe4I2g/EfLOl2zQNEZJUr7lOwxDGnjJy260Qq7xRzpGbaP1p/9LGtV+RGq65N2+6hegA7jR240uRXCC7P4p2eI5x49kXbsMsPVo5QKk9mxRB3mlt4nCBt3fN/U2OfI5zJPkKX6SVqda2j9+L5PFYSE165nOps4zsaO0QjLIlpYWBO2pp1ulg905jwy55F2e6TdgRi679M/dRphmegoJu31SJvtTEQ70Ad233qbtPsp6VXdQJqierffh3UYbn5HHJhJrr9Qo29Ky75jJSFNUf7m55EOgtv3p9TGn92yrzviTvvapPV2s6BXR/Gmuqy7VUm2+s7u6Oqs9Zbb1UkCSbL53+GWY94uhDRxvSqWk8cwXaQ07ym0N9u1YnXhFDvxzHw6SI5hYI+M037/bZJuJ2PUA6h7zFx6UFiGS96qUXRGMvMmaWNJb1c4HhtuDmnZWbJvf3eap+023CokFpaZ5UeZRuZ/9Dh1OFpDkhKcu0J4fjZzMH7EsK0ctfJBxoZfRGtNGLZoda4RJ/07jpLWygepVQ4Bmp6/SKc7R/oYSQ5KkTYapI0GSLlxtbosb1u9xotL2ev0TbqLNF3T4twQmd76icKLdwlwfIZneEIhhMS0cxTKU+QKY9huCdP2kNK6D5KTUl88vSMB208FydFak/Y7JN02qd/fKPZ6xKU1jcaQJpPFF7jceJuiM7JrHI/dsWmc6iip36N19iFlLD2NEAxGWCXWSAWZdzMTr35AstxEJyqbfngMHDZt9/BPXiScecRmeJtACIHrVigXp4mSLp3u3OM+pPvDrfeMre4hd7q3PGlj+8/wDA8I08pRGTnCwRf+FpblIaSxcZT/LkRnbRRfa9I0XnNnfuDjevBNPH4IAGkw+mt/h6TTIvX9tZtM+4O3H2lIZyuYpxuuYhoOQdwiUTHymePxEw1rvIb33H6qv/kFrLHauvhUaZLlJo0/+TH+yRnihUc8sq017b/8GcncCiS75/waGz6BUsmTS3Ke4Rme4Z5g2QUqw4c48tLvII1bPYZuaIHujCQO6HcX8TuL9NqLG2QnD4KnguSoJKZ/fjACl6YDr4MMW4m4KsMmr3y5yC/+bo3V+Yh3vtfmR9+8c0ruK18q8PXfrjG2x+YHf9zggx91mL9yyySFTtE6INERGk2U9thN0xRWqYo3No1TG8XMFWlf/JhgZQGdJFRffB1pOQjDIGrX6Vw6RdJt4Y5O4w5PYFeG0SrB9Ap0Zk7jL11DBT6VF1/HzBWRpoWKAlpnPyBq15+K1aw1NUzpq6+Qe+0oaT+i/+13Uf0ABBh5D+fQJNXfeBNzuEz3J5881JDOm5GNjMf03z9LugvGxZVKSdIAKU1cu0QxP0ExP0Wnd/1xH9ozPMM9wZIuRWuYmj3Fhc5bj/twngjky5OURw4jDQutU1YXTtFpXKXfWSCJA5777H+FEJJOc5ZrF36QtbYsD8erkC9PMjx5AiGg17rO6vxJep3FHXt+PBUkRycJwbVbxsWFwB7ZOizMcgTDExbHX80xXzO5dOru2p1i1WT/cY+9Rx1Ovd3DzW3ehtJoGOgLTOkghCBKd8fYnZASnaaEzRXQ4AxNgDBI+x3MfIlgZR5pmghpUNh7hOapdzAcF6tQxswV6V07D4BdHgIB4eoSdmWYqLECQiAti/zeo8Sn3kanu8/98l7hPbcPa2II7Yd0fpyRGBVGWV6d6xBdW6b4lZexJ4dxj+55dCQnTojnlknrrceqC1qHRqmEnr9EITeO59aolQ88Izm7EJ6bTRj5/pO8CBFIJEIYCASpjh+4Wi4QlKwRyvYYJWuUvFl9RnK2CccrkyuMANBrzdNYPEO7cZXQb6DSmDSJkIZFHPVp168ghMAwbCyngN9bRacJQxPP4+ZqeIUR2o0rO3ZsTzbJudHjU4qovnLLryS5/YfvaIMvJUhTYJgCIR+s2iKQSHG7ijxv1xDsHpKj45io06J15j2c6ii1l97EsF3C5jJp6NM6+z7StMhN7KPywus0T72bvU+lJH6X1pn3cYbGKB15mXyxgk4VhuPhL1xFJTF2ZZjK85+ldeZdHqeOdKeQO3EQYZv0P56h9ee33/D8jy9h1Io4+yfwnt9H+zvvPpLj0n5IcP4qKop3TcVMa81K4xyOVcR1ygxVDjG78BZKPehYu8A0HAzDWnuoIQRaK5RKUSomVfGm01muU0UIQZpGxEn/lhK4QEoTxy4CoFRCmkYk6e2TKq5TQQhJmobEsf/Etp+lhNFRiRBw+cqTdYEKBFKYmMLGlBaGsDGEhRCSOM2q56mO1/63/e1KDGFiGznGvSOMugfwzPJa/uAz3B22U8TxKtmo/sp5WquXCPrr7XutU4SwkdIAsiiMJAlIkgC/X8fvLpEvT1KoTCMNm+byBfzezkyLPtEkxygUs6kI38cZGt34Sylx9x2gd+kcaae9+QZ2EK5ZpOZNY8qNxlIFe5gw6dIIHr8wFCDud0j9zC0zjQKQBkYujxn6RI1l0Io06KPiCDNfWveUiMO1ykzUbiINE6tYwakM441NM/rmr6CSBK1SoubKjqjidwPsyWHCKwv4p7aeivE/nsEarWGNVR/JMWVC+4D+B+d2jWeFEBJDmswvfUCtdJBquUwhP0G1tI9G6zJK32+1SWCZHhMjLzNUPYbnVrHMHFKaxHGPTm+eZvsyq83zdPsbq2hSWLz+0j/BMnMsrHzMpdnv4Qera783DYdycQ8vH/8vkdKg1bnG4uonXJ378cbtSJPPnfgnWFaOheUPuXT1uwTRnVvbuxW1muRrX3HQGi5f2R0Lr+3CNnLU7Cmmcy9QtkcwpJ0R3gH6SYtWtMRyMMO8f27b06yeWaRmT3Gw+Fk8o5RNTT4l969HBdNysew8Gk1rZYYk3tgZUSpBCLGJXgfQiqBfZ/HqO4zt/Qxefpixfa9z+fS32Ink3Sea5OQOHkH5PsHcLKO/9feIFufXWyRC4oyOIy37ERyJoGAPEamQIOnesgIQqN1U0rh55HWA1O+T9No41VEQEsN1kLZD0m2tqdul42E4HgB2qYpKYqJ2nbC5TLCywMrb3yXuNrPXa72W5/OkQw9cQoV5h2BMywDJbaF1Dw1Ko7o+4fmrj26fd0V2A0vSkOXGWYQ0KBf3sGfiTdq9+fuKvLCtPMPVY0yNfZa8NzLw25DcYN6OXcS28lTL+5ka+xxX537M/PIHpIPKkUbR7S9Syk9hmTly3vBGkmO6lApTa9VX2ypQzG1scQth4NglLNNDqYQo6hJED3/RtNOwLThwwOQf/dd5jh2xQMPhQxY//HHIV7/s8NbbEe99EPHP/mmF/+6fdXFdgWNDt6/5wV+H/G//UZ59+0w8V2BZgv/PP+8wey2l3380599U7nlG3QPUnCkMYW46seoZRRwvz5AzzbC7jwvtn+GnnS3JjiNz7C28TM2eomDVMMX6A1ij76ka9GmHEMZAj6OIoy5KbXzmpUmIEAam6W65jdbqJSojh8iXJigPHRjYrjw4nmiS489eWTOOChfm6J78MEuuJdOeGF4O/UiyqzTdaDVzmdTpLaRm3WFztyLpdQhXF/HG91B98fNI00IrRfvch9xgOdKwsEtVqifexCpXidsNosYyYWOZpNemsO9oJvpOE8L6Ev35KzvCwh834sUmRt7DPbqH/scztwfnmQbe8X1IxyZeaj6SY0rbPZLlxsbk5V2AGwSk2bmC61QoF/dQyk+S90boDoTJ29+WyfjIywxVjpDzsl7/4uon+EGDKO6jdIJjFaiU9pL3RnCdMpNjn6EfrNLpLRAnfUDT76+S90YxTQfPKW/YhyFt8rnRrE2lYoSQeG6NNTtZwJAWnpNN1IVhmyjprf3uSUKSwuJiyrvvRmgFYaj55p8HzM+nfO2rDvmcwLUFWgsOHjTIeZJuVzF7LebEixb5vODcuZiZyylDNcHf/FWPb/2Fz9lzD18PNuLsZ9TdT8Uex5JbRzAIITGQSGlQc6aYzB1nKbhMO95Y4XNknrI9xrh3iJI1imPksaSzRoY68SrteJnVYPahfq6nCTdax1m15nbZRpqEaK2QhoXlFIjD2w0x46hPmsYIaWI7pZsvwwfCE01ykoEOR1gW/Qtn8K/MrFcQBpWcNHw0QWJBkq0YJBIpTWzDG/xGk6rdIAyF1O8RG42sTQUZIVldIKwvEXUaRM0VpO0ipEHSb9KbW2/RaJWRScPJPGKixjLB8hxpFBAsz2HlS0jHQiUx0rR27AR93AgvXcc9vhf36DS5EwdJGh10mma81TQwa0XcI1OobkB46dGMTKedHslKcxdVcTIPDKEFQgh8v07PXyKMOnhOlXJxmjjukdxDqF/OG6JWPkypMIUUknrrEksrJ+n5y0Rxj1QluHaRKO5SqxymVj5EMT9JrXKIOPEzkqOhH9RRKsE0HBy7tGEfhmGTc4fWXm8YDpaVxzQdkiQ7ViktPKeCICM5cfxktXhuQClotjTnzieMjBj0epq338lIcrulcByoViWXLidMjBnkcpLZa5rF5ZQvvukQRnD+YsLP344YGpL8nb+d4+13Qs7eZb8AGAbScxCegzDMzAG652fMy7jJUHGT01liMOLup2SN4Bi5rFWrY4K0R6qjbJoVjRQGprCxpIstXRyZZ8TdT5j26SdNEh1hCgfPKFG0hhh29zDmHUYyMPXUikRHdOMGjWiORjRPPdwdEgPHKmJIG60VQdy+b2dwQ9oY0kIKk0SFJGnITt2klYpRSYhheZhWbrDgWUcc9VEqQRo2Xm6IONxssZD9txACw9y5DswTTXJuQMcx3VMf3/JDRfvj91GPiOTcECKahkPeqlL19qz1i/txcxDr8HgRLF0nWFqfdkn9HvUP1/UH9Q9/suV7E79LGvQ3vP4GWmfe29kD3UXovnUao1qk+KUTjP0ffgv/9GXSrg9CYBQ9vOP7AGh9+x26b59+JMek2l2SlTvHJjwuSCSxCuj1l1ltnmd67HVGas/T9+v0/O1FmwgkY0MvkM+NYBg2Qdji/JW/wA/qG4TDftjg+uI7RHEPxy5RLkwzNvwS3d4S3d4CGk3PXyZVMabh4rnVDXsxDYecO0S7N0cUd/CcGq5TIucO0enNo7XCMCw8rzbYX5MofvIjGcTaPzIsLStKRclzx01+/NOQL76ZVXYWFgT1VcXYqKTRUHTamjSFlRVFpSKxnW2UqE0Do1zE3jeJNTWGUcwTXpwlOH0R1e4iC7ks92mTmAOBwJIu494hLOmhtUaj6CUN5vrn6CarhGkPpVNsI0fZGqVijzPk7sUSDiVrlIrToJvUaUWLlO1R9uReoGJP4JoFYBBuq1MSFdGOlznffoteUifRu6dKOlw6TN4dJk1jZlfeJhpUKe8Vnl0h5wzh2SU6wRLN7uwDaOU2IokD4qiHaXm4+SG6retwky4n7DdI4iBrEdf202neHuNiuwUMwwbEbSTpQfBUkJyt8KhzqwAK9gij+UO0wwViFeGZxUd+DM+wc4jnV2n88Y/wP7hA+Vc/R+6Vw0jHHuS6hPgnL9P8s58RXVsm7Tya8y1pdomXdifJuTHx2OsvMrf4HlOjn6FcmKZS3EPfX6Hnb2PEXgjGhk9gWwX8oMFq4xx9f+tFQq+/xOLyx1SKe3DtMvncMJ5bpR/U6fbnSdMIz6mSc4fX3uM6ZXLeENIw6fTmiaI2EgPPrVEqTNPtLw1Ijk0hNwYI+v4KQfjk6XFuRpxoTAucmxbKly4lfOFNmyNHbP7pf9/hM6/aGAaEkUYpuHAx4fnjFnNDEsuEyUmDxcUU/y56HJHPUf4bX8J79TmsqdG1ZHFhmURXrqPaXSq/+QsI0yScuUb3+z/f8H5TOox5hzAGWplEh7SjFd6v/ympTjZobfppi2Y0z7x/jlJ/lFdrv4YUBlV7EsfIESQ9JnJHkGzU1kXKZzm4zGJwkeXgCrux/DxaPs5w8TBx2mehcZI4De6rmpN3hhirPM9I+SirnUt0/SWiWzO27hNhv0m/u4xXGKEyfIjm8gWiYP1a6TRnKVb3khsZY/LgF6kvnSHo1TdMXo7t+Rz50gRKJYRBa8f+FE8FyRGmRe7wMfoXzqwHowlB/tgL+FcuPVKyo3VKnPq0gkWq3hSOkQedrU6f1LFTf3GWYGWeXS8uekhI2z38M1eJ5lezsvtAhKzjBOVHJK3upmF7Dwuq2yet7+6HbaoSwqjFcv0Mw9WjlEt7iZI+vet3JjlCSGwrj2MXkcIgjvt0+3ceJU3SiDBuD94vsK0Cjl2iH9SJ4h5R3ENrhWV6WGaeOOnj2mU8dwg09PxlwrCJ61SQ0qCYH0cKA0WMIW1yXkaO/KBOGD/ZmW+zs5lu4rOvWQwNSb73/ZCVekqcwNiowfxCSqutSBJBr6dJUnjr5xHPHbP4ha85fOXLDnlP8O/+Q5+Ll+78gCz90hvYB6ZJllZp/8WPSOZXGPonv7vhNhLOXCP36nNY48O3vd/ApGyNIoRECEEvbjHb/4REJ2z1BIxVQDteYjG4yIi7H9fIY0sXZaY3taY0iYpY9C8w71+gnzSJlL/lNu8EaQrGXx1j6ZMVEv/hyRIyjYu45wyom5GobMReCEnOqe5otcTvLdNtXmNo/AVK1f04Xpmgt7pGYrqNWfzRFUrVvVhOgaOv/n16rTniKGtbublhSrV9WHaOJPZpr86wUyznKSE5Jt70XvyZCxtIjju1h3Dh+iMlOWHapRUuEKbdTGmehsT3eQHtBKTjIl0PVErS7dybp4qUWJUaqe9nI+Q7xPqfOKQK5YfrAZg3bjSPacxUB1GmadjV0CRpxErjLNXyfjynSik/iW0ViOLulhMvQhhYpocU2QPJtgvUygew7jCVYRg27k2iYkNaGEYmUNVaEcXdgRuzgeuUSFIf2y4O3qMz8hK2iOIeAkHOHR48WA1Mw8E285k/TtInTXdPG+N+0Otr3nk3YmkpJQg19Yai3lD8/O2QpaWUKIKfvRVi24KVlWxR1mpr3nkvYmjIwLbBkIJPTsW02ndetDlH96N6ftaeOnmBtNlBhxsXA2mjhbBMZN677f1CSHJmmWxCVRGlfVrRIne6l2oyAtOM5qk501jSQYr16k2Q9ugnLdrRIivhVZrR4qA1dZeqlBTYRYvhYzW0hu5Cj7gXY7oGe96cQBqC7mKfsB0S92KGnxtCSkHYiejMd4k6McWpAnbewnQMTM+kfqFJ2I5QjyiSRek4G+VGYBm5Hc1UDIM2/c4iod8g6NVJk40eQ3Hs021ew8sPUx09Rr40gWXlSNMQrTW2W8Kyc2iVEvotGsvndmyM/+kgOVJiD49mTldrPxRYteFMBPsIESQdotQnuTFOLkOi1H8sCeTCtDFLlYyo9Lskve49PJgFQmbp7kmnRdJqkiZP9ir2fiFsC+FaSNsCQ25Zz9JxSvKQKyxaa1QUoe5BxPu4oFTCavMC+6Iv4nlD5L0RCrkx6q1epq/QmlsXppkT6jqh8dwqnlNlbPjEXfd346YohIGU67e2MMoIjOuUcJ0qvf4yjl3Ec8oorfCDBnHcJY77KJ1mbSxpYOJgmR6GYdMPVknS8L5Fn7sFSsGPfnK7yd1f/yjir3+UEbgf/eRWIif4yU8TNDH3slizxofp/eQDwnMzpPXNfYWUH4GUCPv2R5EUEsfIrzkaR8rHT+9+fWkU7Xh5TW+SaXk0kerTjBZYDa+x5F8kVNtf/EpLkhvy2P+1PQSNgIUPoL/qY+VMxl4cJmiGSFPSsyRJ3mLsxHAmwq8HSEOwfLpO7VAZr+ZheSZmzkQrzeq5BmH70RBnrdRA05a5Dd928T0AkqhHv7NEc+UincZVIr91i/Gmpt24ijRs8sUxTKeAk8sMNm8Ec6ZJRBQ06TZnaS1f4Fkl52YIAYaJuIXkSMuCB3Qyvleom0bIV/3LFO2RDSuJRwl3ag92dQhhWUQrS/dYedDZSapSvMk9BIZB2vsUkhxDZpNVLx/Ce24/RqWwpTt2dHWRuf/nv3m4x5Ok6CC+bUW8O6GJ4i7LjfOMCIltF5ka+xyN9gxapwMX1NuvjQ33Xn0jJmX75+6tCwo/qBNGbTy3St4bpt68gOuUcZ0KcdIjjLIbcpT08IM6xUHFSQiJ61QATbe/8MRXce4XlnQwhEWio3tzAR5EyNwpdkR6TvY3TjYjjxJLZoQ3Uv6gpXR3aDS9uIkaPGQ1iij1Odn8Hs14cVBZvzcYtoFdsLE8k49//xK9ZZ80Ulg5k+bVNhe+NUNvxSc35PHc3znChb+Yob/iM3SkwuG/eYDl03XcikvUjVg+tUrzSps3/8+vETTDR0ZyEOvtLom54+IDv7fM+Q/+cMvfB70VVqIuod9g79FfIlccwzAdMoIT0lg6x/L1D2itXlqbbtwJPBUkR8URvdMfM/a3fpc08NFpilks079whrT/aFpVjlHAMlwsw8MxcpkWhyzWIUx6tMKFR3IcQJbbNTxG4dgLSNcj7XUxS2VSv0fu4NGs6gV0T39M0m3jjE3i7T2AkJLumU+IG6vZVJpSJJ02ZrF0lx0+vSj/4mcovPE8zoEJosU64cz8lg/cePHhp5CnfX/L0NkHxc3l653Uj80vvYvrlBgbepGh6iEKuTGkkIOV3kaSo5UijtcDRxutS1xb/DmN1uVt70/pFHWTbUPPXyUM2wghyXvDuE4Z28q0cu3O9bUFYxR16fYWKOYnyefGkMLAdSporel0F9ZMBp9ECAS2kQPEYBhC0I+bRKqPJb3BiloRK38QaZCNZxvCZKrwPAhJmPboxw2a4fasEqLL17H3TqLDiHh+5XaPKSHIff6l7PebaLUEYk10fK9RDTe3oJRO6SZ1GtHcfU9NRd2I1bN1PvhfTnL0Nw5Rv9ikfrFJb7G/oeAgpMB0TeIgJY0VWme6nRtQiSaNUlSiEKZ8pDLHnFPDtbK2bqrCx+LqnMQBzeULtOtXspgWaSCEJIlDtE5QabLj1dKnguToJKF36TxJr5tVb4RAJQnR4jwq2IK163WvOiG2V7kTYr0jlpXb13+X6ghScIw8tpGjG2XOqoa0Hr1PjtYknRbR6jLCMEnaTaKVJbypfRhuDhUEqCik+NwJopVlhGVlLZCgT/7Ic3TPfEK0vLD2OXfhwMEjg3t0DwC9d8/R+dFHWXl9iy9EBY9gRZak6Ifkj1NwhzENF6ViWv78jm03iNp0ewsUcqPkc6OM1J7DNL1bytkZlE6J4h5x4mNZOaS0sAxvYO53n/sPW0Rxd1CZKeO5VUzDJVUxvf7SWuUnTnz6A0dkz60ihJGRITT9YOWJJjlSmBTtkbWYGYCau5fLrbfJW9WsUqMiWpFP1Z2iFzcI0y4gsAyXVKcD66vtn3u9n31I/o2X8V57AXOoQjS3hCzksMZHyL/xMsK2cA5O03/nJMHZy5tu40blYROj9jtCozYc643x8/uFnbPIjXiMPD+EXbAxHRNpSFSq6cz1mH5zgva1LmE7YuGDRfZ/eYokTBESVs6sT0KWpgsUxnOMnRimfr5J1H0U55SglJtgqHiIojeGRtGPGo9tEEbrlDRJM92OyIxWNrsX7BSeCpJzI0rAv3wR6TggJcr3kZ635QNaa7ihozVMMIy7sxzDEFh29rok1htig1KVoEQmjjMTm26c3Sxv1gY8SqjAJ+l2EEIQt+qkvQ5WNUsOT4M+qt/DrtawKjVUEmevb7ewytUHUvA/bbDGKqTtPv6pGfofXHjch4NO1W15VVkwrEQgUDrBkA5Kx6QqWWuVKp1mAYfSQKkb47cCKQwsw0XpFNcuYRk5lIoJ4k62mlfJA98MlYrp9hdod4co5MaoVQ5lbapNz7NMsNz3VyjKCWwrTyE/MVgs3N8DIUl84sRHq2QgOK5iGg6piugH66PpSerjB9kDybUzvYBlZgZ0ftDYUB160iAQOEYex8jTj5sIJHmrimW4OEYOQ1jIwbSNZ5aIVUCsfFIVo7QiUZm2ME633+oJz1/BmhjBObIP5/A+zNEawrYwqiXco/vANEmW6oQz14jnN5+gW8+m0jzW1ZbICJdSmublFt3FHlEvRqea5TN1csMu0pSkYcrquQa5YQ9pSsJ2SPt69+bNIKXAsA1WzqwSdaK137hWaTD1tLG6aZtZV0AKg0o+s0nYLikQgxDacn6Kcm4SxyqidErHX7wteuHRI2OuD/uv+lSQHGFZ5I8+R/uDd0jaA4GbkBRfeo3umU82DehUShP6KWhwcgNjqzu59AqwHEGumN0IAl+TJjetFMhEXd1olV7cWBO9tbTeECL3WCElWqWgFDpN6Zz+GG96P0iR/VxruudOEbeb2euFQBhGJgwUMnsofcqC64Rrk86vEs8//FbUdqATdZvTsWMWsMys5RAlffJODT9qEsQdbMPLRJdJP0vcNouEcYtExRjSwrEKFJwREhVhSAchJKbhUc5NEcRt/KhFnD54y7fdncM0PcZHXqFcmCZO/MEI6ybnk1ZZmrlTXkszv75Yww/qmcOtvvHAy66r9fHadaJ380NA6YQ46WemgVaRnDeEabqkaTQI9by1kqPx3Mzl2LJyKJ1m+36CSQ5kVZh2tEQ7WsIQBsVkCM8sbaqLgkFVLfUJki6R6tNLGvST5rb3l9ZbdL7zM8LzV8h95gWcw3vRA8G8cBzCS9fofPunpI3WNiwYxOD/tj8RdOtdVyDveaLoBsGPujFRt0Vztg1Kb0isufbTOaQp0UqvVVlP/6cLbOBng/9fv9SicalFb6m3YRtSGAwVD7Jv9A1sM7fhGMyBLsmQNkcmfuGeFh0CiTkQ8t9wdk7TiNXOBdQjzea6n2fgM+HxGqRpkjt4hM4nH6xnVQmBt+8g/ZkLm5KcKNQszWV/5HLNpDpmUaoatOubs9tKzaQ2ZlGsZl/Z8vUIv3f7yeaaRTyrRN3Pck8cI48UxqD0+3jRPfMxxedfwtmzn6TTJly4Tn/mHO7kHnJ7DxK3m4QLcySdFsKysSo1Si+8ilmpYuaLoDT+ta3TuJ9GJCttQGDUdompY5rctoobLR/DMnMEUYvpoVdZ6VzCsyskKsoe+iqh3ruCa5UYKR1hoXka4jaTtZco56ZYap3FtTLdlWdXKDjDzK6+y8HRL7HQOs1y++wDt2ripE+3t8BK/QyjQ89jDW7kySaVAY3m2uLPKeTGMCoH8dwar73wj7i++A7t7rVsGirxMQwH2/SwrQKeU6VWOUSU9JhbfI9Ge+N5GsU9uv1lRmpDVIr7sIwc3XCBnr9eQVAqIYp7+GEDz6khpYHWin6wSqruPma825FRBBM5eNhLYZLqONNA3FjEAJb0bjHN02sU416hOj2CkxcITl3g9gfd9lvhlnQoWsNMeEe3vW9zkHMlhMQ18ox7R+4pLFmRsuCf33jEyeYHvOkY+C0v7S70CLsRSZhsEuunSVQACIxbxt5vhmlsbaWwHfhRk+X2eRabD9+dXQiJNCwM00PKex9XD/o7s7B8KkhOlhJtbSx/C4GwrC1bL0FPcfVsQBQqHE8yfdDh879c5q/+3eZf7CtfKXL4xRxoCAPN1XMB3ebtKzvHzFO0R9dIjmsWMKQ9EB4/2pukfzlrr+iB4C/pdmh/9B7CNDPH3ihAJylJr0v/yqXBz0JUHIHWxI0VGj/7AcIwspZWeA+TFU8JOj/8iNwrhyl96SXihUaWT/UYq1l67R/ryCo4XVa7lxgqHqDVv44x0LKkKrrtGhBCZDbxKqbZm2W1cwkhJJX8FEFsEMRtmv3rVPN70TodbOfBV31h1GFu6T1GaseR0uBOq7s0jbky9yN6/jITI6+Q84aYHP0M48MnUCpFo7LH7sDP5oanTb11cdM2WFalyVpTeW+EIGzRvyUmArLqRac7z1DlMFJaRHEv0+08JRXMijuBZxXRaCzDpR83SVXCkLeXYXc/ebOKZ5ZoDdrsGk03XmUif4yKM0E7Wma+dx8PyM1O3HuAY+QYcvdQtke3/R5bZt47EoOcVeFQ8XP3dAyxCm8jOQ+CpZMrqFRvSoiUTlntXKLnr+DYJTy7QtEbo5SbJO8MYRrZFFKU9NFabfNTZO0gpVP8uEW7P0e7P0erf/3ub71PCGkwMvky5aEDuLkapp1f7wLcA7RK+OCv/4cdESE/FSRHpynR8iLF506QBn200hieR1xfWQ/svAVpouk0Ey6d9DnwvMfYXofP/UKJxdmIy2d8/K5CKXBzkoPPu3zma0X2HHWIIs3ZD3q06wlxdPupJpCY0qZoj5DqBNcsDVZAj/4meVtul0pJ+zcqSuvHpNMkE2jf0o7SSULS2dzf4tMC6doYxRzW1AiVX/0c0dwqOooybcwtSFs9uj879ciPUZBVIeI001Akabim07nR1rlBCIzBw0usaXWStbFgpdUgkTsa/C8evHZnTMNSFdHtL9Lzl8m5Q4Ocmq2g6Qd1VpvnSdOISmk/+dwwlpnLxrulAVqTqpg0jUjSgG5vjtXmBcLw9nM2SQP8sDHw4bHWRsdv26tK6fsrDFWPDCo5Cf5AjPw0IEja9JP2WtUg1Qlh2qMdLaF0QpRmo9rdaIVkUL3ykxaN4HqWxJ5sUpGWAufwXpLlBqrnr7WeZN7LMqnuMEK+XUhhZPqxO6SQbwUhBAbmPUfsGPegP9oO4v6dv4ckDemmywRxm35Ypxes0Pbn2Dv8OgV3FKUS5uofESW97besdGYFEqU+ftQgiNpEm/0NdwCWU6Q2dpzhyRPkCqNYdn4wIn7vUGk8eB49+HE9HSQnSfCvXKLw3IvoJEGrFMPL0z39MWmw+by91hD5ivd+0KEybDI6bfPiGwXajQQ3L2kuJ6hUU6yYvPk3ypx4o0C+ZNBYTnj72238Xrrpgj7REbEKKNgjpDrEkNYg7XW3YTMtxNOxWt1JWBNDGHkXYZvk33ieXBij+pn7861fV3Rt6bGQnDUMBPhr/6k1iYpxzQK2mcc2c2v9/XRwTprSwRmEFWYlcn1Pkw6pSgiiFt3+YmY2doebr9aKKOpSb10kSSMs0yVJwkwUvMn5qFRMpzdPr79Mz1+mVjmE59awrfwglTklToJMbxN1aHVnabavEie3P5ySxKfvr9LtLwJk290kD0vplE5/gV5/CcOw8YPGBt3OkwytNZ1ohXa0SJB01r7zVMe0wgVa4SICcdvfMEx7LPa3Ft0LwyD32Rfpv3eaeG5pjeTYB6ZJFlZIG+21avI9HjHpDgVI3g8Uj0eYm6iQJArxowaN3hWGi4fJ2UOkOmG+8RG9cHXXmVJK0yFXHGVi3xsUKtNAVo2JIz871nt8tmT6t2eanDXoJKZ39iT+lUsYhSLCMEg6bVS/d8f3pSn86f+yzMiUxctfLDK+1+YXf7fGL/5ubdPXL1yN+PAnHf7s91bYSpjeCZfoRw2q3jSmdFjuX8KPd3fO0DNsDWGZJK0eSevO5xJAsvx4ql5b3QpSFdHxF5meeo2Cl3nTmIaL1ppetELBHaaY20N+fASBoBssbZie2c7cQ99f5vzlP2e7RX2N4vzlv9jmqzMonVBvXcxaUfeJOPFptC7xsw/+hzvvS8UsrZ5kafXkfe9rN0KTETiNQmm1xd9Wb/k3v2PlwDDIf+kzxPPLpI0Wqt0FAcP/zX9B6z/+Fb2ff4zu3P36uRVKK/rx46skx3p3LE6DuE2YdB5Yj/MwUShPMjT2/BrBUSrG763SacwS9uuoNL6nlq/WCq12Zqz8qSA5N6ACf71Fs80vNPQ1//q/nWf/c01OvFngta8Umdjv4OayEr3fS5k9F/LBjzqcfq/HxU/6WxKcG0h1zGr/CgB5e4iCXaMdLt7353qGx4fVf/Pt7btm79BFea+4uvI2kPXeT8/9eTYauuYvovjoyh+tvVajB20ozULrDEvt8wgMNMlNvX69tt1savDJr2J82pHqiMV+RkV33B9FgDBk1pra1Ln4/tBPW7y18h92bHv3iscRxbMZ/KhFGO9yklOapDx0EIAoaDFz8pu06pdJYh+2rSG6Fc8qOesQArNYwpmYQpjWBg1B/9I50rtUdPye4srZgOZKwsmfd/HyBsZAF5km0GunNJZj2vWUoLf5F29JD0PaWNLGNJw1O/KCPUSiwmckZ9vYJeP2NyBEduO+y83bKOcRjk2y1Ljj6x4G1E0l/TWB8E2n6VZW/FqnpDplK+8E9RhbBc+w83ho5m9akzbaOIf3oaOYUOvsmhEC4TrIYv7um0gStH/rearv26H4aUIQtfCjJo5VHLSSdwf5uhmmncd2s8DblbmP6LXnicPOQzX52/axPe4D2AkI08LbdwjpeZiFItK0SMMAaTv4167AXUiO1hmR6bVT5mbut0QpkEJiGzk8q7z2gLCM29N1n+EOGHie7Ba4x/aQ1NvEc6tbVmqMWhH38DRG0aP9nUdPch4cu++m+QxPEJQmvHgVc2wI15AYtTI6ThCmgb1vIpvwuY3AbESyXCf4ZOcmmZ4m9MMGje4V4sQnSYNdqZ00DAvDdNBa027MEke9XUFw4CkhOdK2KX3m87Tf+SkUSwjHIV1dwhif2jJMcaeRqACtkzVfnLp/9cbR8ewhsn0IQz7yUNU7ofKrr+OfvkKn0yfdRJcjbJPciwcpfPFFpOfQ/s57j+EoP23ITCqlNDNHZnXvwsZn2DnoJKX7w/eo/J1fIvfKccTrJ7Iqjm2Re+0FvJef4273wP57p56RnC3QDRbpBru7EyCEGARka0K/gUp3TxX4qSA5aI3q9+hdPAeAkS/Q+uAdRn9tz47Gyd/xEFAkOqIZXKcZzK2VhjNDtp0ZwX2kEAJMAzaJEXiY27nhsLxbIAxJ8Ssv4ewfY+l/+tMN6d/Ctan9zlcp/+JnCK8t0Xuck1WfIjj5CiOHPs/Y0S+ycOavacydpl+/9rgP69MLpQjPXGLp//2vMMpFjEoRWcgx/L/7e/R+8gHh+cuo/p1TpdNm5xEd7DM8DCRJRBL7mJY3CIN83Ee0jqeC5GgyrxfQCNPCGhqh8tk3sWrDCMN6xMeyMWMlm1bZRX/xbcIcquG9eJzg9Hni1fp60Ne9bme4hvfCje2s3lXbgiEfWfVtO1j5g+9Q/PJL5F44wOg//nWW/9W3UEmCc2CC0ldfpfD6cTo//JDeBxcIzj970G4F085jeSWcQpXm9dM8SHXTsD2KowcwTIdcZQK/vfiM5OwC6CgiWW2SNttgSFSnTzy3RHj+Cundpqs28Z0CgSnu5KX0sPFME7RdhH4Tv7tMqbqXQnmKsN/IAjh3AZ4OkhNHdE59hI5jwqUFtNYYrkvv3CmUf++ji/cDxyiidIIUmWV6kGYrk1tJz26HzOcQroM5XMMoFhCWmWWemAbScTCKBZLmIGtGKRACo1JGOjYqDAdmYNFgOy7m8NDG7dxl/8I0BmXP3YF4boX+hxdAa3InDlL84gmQAmtqGPfwFL0PLtB95yzR1SVUd2fNw54mOMUhisP7yFUmaM2deaCJLZ2mxH4HrVLioEsSPfvedwU0kKZrnjjx4gppq4PyQ3Rw72TBkR77C6/u8EFuH6mOudD5+WPb/5MEv7dMt3mNYnUv1ZEjdJvXSKL+rsh7ezpITpoSLS0iXY+4uUra7+IMjxEuzpHcRXS8MxB4VgmlFaawkMIgvsmEMPOm2F3mTZvCNLEmxhC2jVEpI9yBW6UhMbwcZq2CLBQQrkOyvIrq+yAl5sgQhueh4pi00yWeX8SaGEfYFubN29kGhG1l7a1dAh0lBGdnUf0QZ/8EhS++iJF3wTBQPZ/2t98hnJlHR4//Yt7N8IrDlMYO4ZUnHtjJNIl9OsszWF6Zbn2WqPckir2ffoTnLmdGgPc5Vm5JjwPF13b4qLaPKPV3OclZD6W9H+zk9GTQXaHduMLQxIuUqvspVvag0pjQb5Im4WMVIT8VJMfI5Rn/7X9A/9I5/MsXCRcX6F0482iPQViUnNpAeCxJb0p4jdOAbny7u+qugmFgDdcofPkNoktXEIaBc2AvvZ+9g1Es4Bw+gLNvD/33P6b0y1+n++O3CC/OgABzeAjV6+EePYQ5OkLrT75F4ctvEF6cQVoWzv699H76zrYOQ7o2wtpdp6UOY8LLCyz98//M5P/1v8QcreCfuszq7/8V0ezy3TfwDDiFIbzy+I5sK/bbLJ77MYvnfrwj23uGh4PWf/7ujm7vmV/TOqQws3w6MzeIarl3otMNlnfMOTkKO7RWZ7h24fsceP7X2Xfsl+k0ZlmZ/4j60rnBOPm9/v2e+eSsIe11uf77/z9yew+S23+Y0qufByHpnztF78IZ0t7DTgDX1P2rKJ1iuhauXSNnVdZ+G4juric5wrZxjhzE//gU0cws0nMxahXQ4BzYhzUxjlEq4Z14HqNYxBodJm00iZdXIU2xRkcwh6oZITpyEP/jk4QzVzFyOYxKaXvH4FhZeOgjEovfCveF/Xdslekkpf7vv0fpVz6L9Bzynz2OUS2uXYvKDwkvPLzwuycVmRanhu2Vifxn7t+fWtxJa3dLJMlmSHSMn7TpJqv4STurjguBRCKFcVNVY2fuHzcvVHcDpDAZKx9nvPoieTfLcbvfKg7AT87+c4JN8tvuB8XqPorVPXj5EZLYx7LzlEcOUxo+wAGlSGKfNInQKtlWVUerlI9+8i+eBXSuQWuU7+Nfu0LSbmHVhnCn9lJ86TME89ceAcnJWlLdaJlUx3TjVdrh0trvngxTNT3Q2Ei01hnrvkE2tCZtNEnrDYLzl5AffJyJCwH38AGEbROczXQrjuOsbQc12M52NDYCjLwHUmyZHP9QIQS13/4q0t1CqH7jJiwF1lgNISVmuUD+s8fWXhJdX2HpMZEc08njFofJD+3BzQ9h2B7SsDJDyygg6jfxW4v06tcIe/VN3z9+/Ct4pVGSyGfmrT9kq5WUVxqjPHmM4sgBWvPnaC9dIGivV7Qst4hXGiVXm8bJVXAKNXLVSYRhYHlFjnzpH256o1u++HNa82dv+51heUyd+GXsXPm2sNDW/Dm6K1foN+e2/2UJgVscIVceI1edxnILGJaD1gqVxKSxj99axG8vEfYaxDcRs/L4MWp7X8JvL1G/+iHF0YMUhvZgOgX89iKrl98nDrqYdo7RQ5/DKY6QxgFBe4nGtU8IP0WtNZFz8U4cxd43iVGrIJ2th0DCC1dof/Ov77g9Q2Qhm5Z0KFrDxCokUj5B2sFPWgRpj0j5xOrOk1zbxW5xPAbIO8OMlI8yXnkB1y5jShspH+zx/SAE6VaUhw4wOv0ahmlj2jmElINr1QADpGFl1/U221YqTbbyKL1nPB0kR0jMchmzVEbamf4jbjUQto2+z6mge4UlPZROidI+WqcEyRO2Yk0VSb2JvWcKNTGGtC2km7k2J80WphBIz0VIiY4TlB8gLBOZz2PWKsQLi5k7cByvb2dyHOnYa9u5I4RAFnKPVXSswwi9jes+urq5Z8Xj0uWYTp5cdYrK5HHytSmcfBVp2AOSqkFpIr+NVx7DzpVZufI+SdjbsHKWhk1p5CDF0QNE/VYmEt9iZW06eQq1PVSnXyQOurcRDMP2cIpDFIb3Yntl7HwF084BAikNcrWpTbfbvL75CL4QAtsr4RZHkKaFNCwsO4cwLJKgS9i9t5Tw4sgBCkP7yNcmyVUmEYaFNAbCeKVQKsYrj9FeuoRYvryB5DiFGpXJ49i5EknYpTR2mMLwPmyvjFceJeo1iYMOtleiMvk8dqGGThOC0ggqiVm6+BZP0iDCg8A5MI334hGsqbFsoaMV1tQYqh+QtjpIz8GolIjnlkDersNLdUIjnMeSDqa0MYSFKSxMwwaR2XNEqY8pLAxhYkqHMO2vEZ1EhSQ6JtERiYoenuPzQ4ZleBS9cUbLxyh64wghUCohTgPSNLzvRfRO6mQM08VyMmfrNAkeONp0J312ngqSI0yT3P7D5A4eRpgWSbeLf/kC7ffeQsWPouQoyFlVUh1jCAtDGBu8cZ6ECSsdx4SXr5L7zMsYpSyVWlgmWini2Tmk5+EcOoBRrSIsk97P3yNZbaDaHayRF+H5Y8hCHuX72XY++wpGsZDl2phGFrZ2p69ACIxqiSxP4zFAa1b/8PsPNL6ugsdT3nbyVcoTRxg7/CZKpag0Ig67pFGA1gqnUMMtDeNVximNHybortJeOI9KH87x3qjEqSQk6CyRhD1ylQnsfAWVxrQXL2y6ogv7zU1PEZXG1Gc/xinUMGwP2ytTGjmAna/e87FJw2L8+FcoDO3FtD2SOCDsrqLTGGFYmHYOyylQHDmIVook6NFZnrnl8xnY+SrDBz6HNEyUSknigFxlkqF9r6DSGMvJY1gucb+F5ZXI1/Zg2nmWZ97OzAsfIqQUWJ6B1qyfz4PKbNxPMGyJNGW2jpeQBCkq1aBBmgLDzq5BMfhHEqZr29FKo5Lsr2S62euSYPPPk//Cq9j7JlF9H//Ds6T1FpXf+RWiq3P4H53DHB8i9+rz9H70Hv5HZ297f6x8Lnffo2ANkTcreEYJ1yxiCguhJRKJaxbwzNJaVUKjSFREJ16hm9TpJ036SYtuUiceEB2Nzqr/7HBEwo1bxw7f6gvuKNXCXir5PUAWvBvGXYK4gx81iJPefXlhrkXA7ACC/irt+pUd295OGnw+HSRHSox8gdXv/xVJp42OH723gSltyvb4mvBY3XQTT1S46zU5aI32A+q/94dgDAjaTd4V/kcn8T8+lRGfOFk7AYPzXcKZK9nY6E0nZf1//febbmdLCIE5XEE8xsmqaGb+se37QdCrX8tWwlrQWbxAZ3mGNIm4cbc17RyTz/8C5cnjuMVhJp77Gr36NZT/cEiO31rEby2yfDGbTMnX9jD5wi9geSXioMfMW/8BfQ+jpSqNqV/9cO2/vfIY8sSvUMtX7um4pGFRGjtMceQAaGhcP8XV9/6EqL+uSxBCYnlFKpPHCTor+O3bheVCGnilMXqrsyxd+Bn95gK58hjP//L/kfLEUWK/Q291ljPf/R8BmH7pbzC0/1Wc4hBOYTgjVQ9xtLZ2sMSL/6cTBJ2Y8mQelSpiP8Ep2PzV/+M9nvu1vUy9MoRpGXhVm7f+5VkWzzRJgoS9nxvl2K9MIwyBYUucvMVb//Is1b15tIbuss+lv15AGILP/+PjSEPww3/2yabHYR+Yxv/oLP4HZwjPXAKg+CtfJJpdoPvDd0GlqGYHa2IEgM63f7rh/YmOWAwusRhcWvuZRJK3qhTMIXJmmZxZoWgNUTCqiMHi0pIuNWeamjO9YXu9tEE3btBPmnSTOu14iX7cQj1w3QEMS+DkTaQh6K7u7POnWtxPOb/+WS4t/ojl1jm6wdId3vVosXj1bRavvv24D2NTPBUkR0UhrffeQoUhd40IfyjQNIPrgMZ0bVyzQs6urP02SLpwJ5KzA4WeHW3zbEVKtM78cW798VYtwe2QmwGEEFij1cdKcp5k9BvXCTurqCQaVGjWT6gk8lm9+gFIgVceI1eZQGzSHnh40Lesyh7wZL/f60UILDePEILIbxN2Von8jU67Wisiv8PqlQ/RKs0S3bdA4/opwm4dlURr+h07VyborNC4fnLNIyTorRJ0VigM78XJl4n9FulDJDmC7Oue+ckiz//6XlrXuiyfa/HK3zsEwJk/n+Xi9+eQpmTv66NU9xaIegnL55vZ+6XgzJ/PUr/coTKd59gvTfHJN65Q3Vdk6uVhLv31AuPPVekt+wSdrYmydG1030fdZASo/QAhQOZdVLtHcO4ypUN7sbZZwVUoenETP+kghERiIIWBISw8o4BrFvGMEgWzRt6sYBs5LJllKuWMMq4soJxJlFYonZCokCDt4acdekl9UP1pEangntpAhiVxCyaGJXec5HhWGdcsolTCaucSi83T+FFzR/fxNOOpIDmZ8Lj/WA8h1TG9OBN0RkmPzk3C40Td5aTXtz4E7h27LfPpniEFxjOSc9/QaUKSbiWw10T9JvHggW5YDlJ8+r7njMC00UphOXm80ijF4X1067MDx/QbL1Sk8d3Fq1HvhqurRqUJSdjD8ookkU/YXRd3p3G45v4qTeeRTQ/2VwPSMCXsxPRWA4QE0zao7C1QGHZRqaY0kQPWW08AfiOktxzQXfKRpiA35BB2YpIgQZoS0zUYOVamtxrSnN16qEMFIRgGwl5/zKQ9H0wTc6hC1O5BnGZGoXcQJd+2XdJssmrDLVMQqh5W0sSSLg1jHkd6WNLBki62zOEYeWzpYUsXS7oYMoc2FK5RJK8rFNNhItUjSgNiHRCkXWZ761Uq2zMYP1pg/myHJFTkqzZD+zyufthm+oUStmvgd7LzyHQkowfz5CsWQgpaiyErV3rkyhZu0aS7GuG3E8aPFNBa05wPOPi5KmhoLYa0FgN6jYxAmoaDYdgorWj7C8RJf8dGvz8NeDpIzk0whIUhLUxpo7Um1TGpilE6wTWLZAZKAqUVUdpbM+kzhIVluAgkQgjiNCTVEUqnOEYBKSRZ2KYiTPubsvwg6ZDqhDDtDTKrMvHc3XqfWulMs/IgMI3HM5W0U5ASa7S2q4wAnzQIaWDaHtKwEYaRle+FyPROpo3p5AfniBhMPuzQ+MITAq0UQXuVqN/ELQ6Tq01R2/tSplXxO6RxQJqEqGR7K/Ek8jcIJNMkyhZcaUQcrS+6tEoH7SkxqKA9gutUa5IoRSWKNFYkUXZ/8aoOEy9UKU/l6S4HlMZz+M2MAN2A34pIohStNGmkMExJmiiCVkTQCimOelT3FKjPzNO6vrXZatpoIx17TeOX/ayFcB3sg3tI2z3MsaHMF6vzoA9tTawCYgJIWzC45UokprTxjDJ5q5rpeowCnlHEMXJY0sUUNjlZJm+ua7wSFdNPmhtIjulIxg4V6K5G9FsxpVGH6RdKzH7cpjrhYrkGwsjIrO0aTD1fojzq0G/FpImmfq1PccShOumRJh38TsLEsQJKQdhLOf7lYdrLEYgO/XYMA5IjBi76ihg/ajwZxrL3CSEkQhgg2DHN4FNHcgr2CFVvipo3jVIpzXCehn+dftzgcO0LyIEK30/aXGm+u1Z9KbvjjBeOYUoXQ5gs92do+LP04yZ7yy/jmEVMaZOqmJnm2/Si+uZqfa0xpMW+8meQQtAOF2mFCzSDO+g9lLqn1s5mkI69roF5AiEMA2t8+Fkl5z4hDQvLLVLbc4L80B7sXAXTzWOYbjaRJI2NLaobdiKfHo4DWhH2Vlm68DOGD3yG/NBexo5+idFDn6e9dJHO0gztpUt0V69ua9RVJdHG16k0s19Q6e1EafA9C7GTg7v3jokTNYQhmP+kzrnvXOfFv72ffO0WR3K1+UlRv5JVbfa9MYZpS2I/Iepv3dIJL17FrJWxxofxP8yExeGFq+ReP4H30lewp8dwju5H9QOSlYczWq9QRCogUgGteH0qUiBxjSLj3iGGnb2U7VFMsf49GMLENQobtpVEipWrPQ69XqV+PcAwBbGvUIlm5r0mk88VyVWyipQ0BMUhm24j4md/sJ6r5uRN8lULy8mE34WaAwKcvIHlGpz63hL1az5hb53IqMEiHQ1JmlUOn1ZYTgHLziMNi07j6o5s86kiOZZ0GMrtxTFyfLjwp2g0Wqu16aaTy38FQNEepWDXGMkdpNdqABrHKJCzKnyy9BfEaYDSKYa0KLsTmNJmpvFzYhWSsyocrr3JJ0t/SaJuDyAr2ENU3EnOrH4XrRVj+SMU7OE7khx9U97L/cIo5hHWow0j3SnInIu9ZywrWT/J1ajHhHxtmur0i4wc+jym7ZEmIVGvQdBaJA56pEnWevHK41Qmjt1la08/Mj+ec+Sqk9T2vkx1+nlK40cojR1hIo0J2svMn/oendUrG8bHN+Ax2tQ/CBZO1Xn+1/ax9/VRpl4ZRmtNfAeicjO6yz5Cwsu/e5Dz35ujt3rnAMbud3+eVbFu0vH13z+FTlJ0nOCeOEq62qTzg3cIz8zcYUsPBomBZ5Qo2sNrU1p5s0LerGFIE8mNquZG3LqIjfopVz9s8fKvjjF6IM/8uS4nv7e1+LffjPFv1SwNZAnSEEhDYJiCsJewPNPnO//8Ei//2gSdlZD5sx2ufZKde0HcIUp62GYez67c5hX1NGF48mXG9ryG41V56y//7zsyifh0kRwjn/XdU3+DW6VAYhkek8XnSVWMY+YxhL2BpHSiZZZ6F5kuvUyiAur+LHHq45kl8vYwk6UXSFWMFCZh0mdrNi0QwsAUNikJUlpIceevWcfJA3usyFJ+Q+/7SYIs5HAOToF4+EaAuZygNiS5Nnv7xTM8IvB9CENNsrvMTreEYboM7X+NyuRxDMuhtXCO1cvvEfntgQg5cxg1DJvqnhd3hOQIIRDGk3muwbo2J01Cwl6d+uxH5GvT5KuT5CoTeOVRJl/8BVavfEhr/iz95u0LlLuvpR/fars132fhj2bwGyEf//Flon5C0In4yb84Tet6n0/+5DJO3iIJs8qTSjR+MyQJFfOf1Fmd6WR6nljRWw74yf94mt5KRpSFFNh5i8VTDYLWnUlO2undrjeMU8ILV0hWGhg/fBcVxqSrDdIdCLc1hY0lPVwjT84sD1pSmQ7nRlvKkJmnTua5kyWcK50Q6xA/adNLmgRplzDtE6S3E1yVaLr1GLdgIiQE3YTSiMPBz1UZO5RHGoLFF0q0lsLsDLjlNOjWI0ojDq/8zXGWZvrkqxZJpKhNeRz4bIVc2cRvRxtsg7rBEnl3CNcqMVQ8yELz5KCi8/TBMGxMy8MwLHaqrfvk3qk2xRbmZdLGM8vkrAqtcBGtdeb7cNMDNUg6NPxr1Ly9OGaBnFUlFNaa66VSSeakqTVdtbxlXzRSPn7SpmAPZ54MWq0lkm951FGCjh5MkW+U81m45RMImXex9+5MrtHdUK0KTpywNiU5Bw6YLC4q6quKbnz3h5SUMDEhWVpSPBI7pk1g5yvkq5M4+RppHFC/+iHNuTO3CWdNJ096x7Ruve7wKkTmWL1FtUIYJoa1DYPHXQytEpIwEwv77aWs8tVeJuisUBo7Qq4ykVXBIn9TkrObEfViVi9mD+jVmfV7z8LJrCVUn9n6ftSvh/Tr6w/QOEhZONmgMOKSP1CkPJWnda1LbyUgCe9SzdqiOq3avf8/e38eJUd233einxt77kvtG/atAfSC3tFNsbmTTVEmRVGiJVnijGWNrZH8ji15jp9sHR/LtiwfPc/YemOZtp81Er3QkiiKlExRpEix2Ww2eyN6xb6jgNqrcs+M/d73RyQKKKAKQBUK3egmvuegG8jMiLiRGRH3e3/L94tstFnrLaOhY3QFAg1hYggbU3ewhIOlp7C1NCkjj61nsbWku0qgoVDEKiCSIZ5sEUqXUPqXKSe36ER1/K5yciCvvl+UggsH6zhZg9qMjwwVMlZ0aiEL425SBxopIj9m/myb4AoNoXY1ZOG8S67XJnRjpk60aFcC4ljiNiOmjjVpzPq0K5e+nZY7S9ouU0iPknX6KWZGqbUn8MMm77TUlabpN63kfCXeUSQniN2kFVl3MDQbUEglsfQMGatEGHvMt8+Qs3vJWr3omrW4rVQRbtRgovkGQ9ld2EYaTei0gypuWGO2fRI3qicLk4vV/cvADWtIGTKQ3YmhGdS8KZr+tTVylB8g3ZskOeVCUpfzdoMQ6Nk01qahW3kIUimBAkZGdB7db/K1v/Cw7UQ4TSlFGMLuPSaWnUTUpJT4vlp8Tus62LZACAhChYyTfz+y3+LZZwLq9YToSAmOk3xOymS/N5mJvCZShQF0K+mQiYIO82deZrkHn26l0KyViUnSrXFp1a0ZFnEQL7OvpIjZSuXWNmCxft5C6wUVR7QrF2hXLlC9cIjBnS5Dd72bbM8Ykd/pqhT/YKO8Oc/IfT3kB9Oc+NYEUfDmFL8mjSCJJ5VAQxOJDk7WKJMy8t3UU4mc2YOpJV2DSqkuZZfd5pMoITgyoBM1cOMGnbhOM5ynGS4QSpd4Fe3iR59ZqrDdqgQcfupqPaVTL15dZ9SphXRqIZNHG8grtAjrM34yv0i15PWmO41lZChlNlLIjDBcuhchdCrNM8Qy6GqyXdzmxknP7WRbcRFC09c9SvyOIjkX00yl1Bj3DHyMWIU0/Bma/iytYIGx/L04Ro5YRUgVL3qcGJpFX3oLQ7ndRDLA0CymW8eouOP4URsv2sim4oNowkCqiAX3PNOto8t2WEkV40YNztZuXBhJdjxke+3hWgEYPQX0fAZhWyj/zRdDXCuMch5ztB9zdOCWpKp0HQoFjb/zv2dwXYlhCBCQyQg+/ZNpensFzabiqW/5aBo88ojFE08IlII/+aLLmdMRuiEYG9P5xI86FAqCb30rYPJCTD6v8Td+Js3WrQZHj0acPhUxfi7mb/6tDKkUXLgQ88LzASeO36oJQaAbJkJoSJlEJVZ6yOV6NpAprkwkI99drAsTQiOV66NdnbhKtM50sji5Xpz8wA1TlYspM6FpGKbD7UZyLkcc+cyf+T4D2/djONlFqfofdIy/OMv4i2+u+JwuDIrWIDmzj6xR6nZIFbC17HW2VHTiGs1wnnZYoxPVaIYLtKIVmkXeAixXanJRSfpKKBQLrTO0/QX2bvg45dxmStkNuEGNucZJGp0pgqiddBGvQn+pEyysq7XDekDTjG7wYf0I2DuK5AA0/BlaQYXJxiFAEau4S0YUr818ZTECk/jyJH8iGTLbPk3FvYBCIRBEKkDKEIVivP7K4moiCXlG62q6Gbdd4ubN6fwIwBgoYw71EpxdhVnhWwx7xwacHRtvWS1OLif4wIdsnv62z8x0zMZNBk/+sMNHPmoThYpTJyVKwU/9dJrz52OOHY2YmoypVCQ/+TfS/KfPtqlUJBfOx/zZn3rcfbfJyIiOjOHVVwLOnIn58pdcpqYkmbTgw0/a1GuSs2ck+YLGpz6V5jf/5bXTlWuHwm0uIOMAXbewMiXSpWHc+sylgj0hKI/eTd/WR8iUlveMgiR947XmcTp9mE6Wod3vZfzVrxC0a4tEx0jlGNz5QxSGdnYl/2/sNwvcGnHoglJohkV5w93Up44T+bfeOPdyaLpFcWQ3SkW49US8T13epioEpp2hb+tDaIZF6DXx3dqbOsZ3EjL770usMearBKfOAyBSNql7dpJ+YA/mcB/BuUlazxwgODNx1eLM0XPcXfogGnpX+K/bXkxSFxarpISgHdVohQt0ojpu3MSNG4TSR6oYhUz+r+RtQ3BWi419j1LMjOGYebKp/qTGU+hk7F6cngKyHC1Gr1ZDDl468ft44Y15LGqagZ0qkS2O0mlO47s1ovDSwtxyCpj29cjntZF41BUQmr6uiuDvOJIjVZJKWu4r8qKVJpskVxvHy0dA1svVdiUo10e2XWQYIdaid9P9vDlQxhzqeduQHGGb2JuGb2k9jq4LSiWNg2+ELCxIyj0SIaCnR6fZkLTaEt+Dw4dDMhlBu6OoVCWViqRUEug69PdrDA3r9PRoNJuSXF7HssAPIAgUjYai3VI4jqCnR6dek7RaCteNabdubUjYb87jNeax0iUMK83QridoVyeQUZDo5tgZsj0bkTLCbc5hZ0oYK0QnmrNnMJ0cxZHdZHvGGL7rvQSdGnHkI4TWdRMfAQXN+XGyvRtuaIwyDHAbc3Tq06SLQ/Rteahb89JCqRhNM9B0g9rk0cSi4jLoVho7XcBM5RCagdB07EwZO1sCBHauj9zAVnTTQckoqZ3z2kRei8CtL9mX0HQyxWFSxQGi0CXy28SBl9QvCS3REnKy5Ho3gRC05s/RnDm1lp/lDgDnri1ElTqy41322lac3dswBnqIZhYwBnpx7toKCvxjV3iEoS1p445VRCA7BHFSL3PReDNSAaH0UCgMzcQhh62lb3r8EknFv3D9D95iZFP9FDNjifO4MJZoXd1M/cpqurQsJ8/w5v2kcgN47XlqcyeYn7qkIVTs20ap7+aaGoSAbH44Mcq9qT0txTuO5LwdcdHVW3Y89Pzaw+NGfznxgRFi3czNbiXM/jLm6ABGX/GWHUNKRaulKJU1fF+RyQiiKHlNNwSOLXA7ksOHIu5/wCSVEpTLGoYBzYZCSujr19i23WBgQGN8PEa7TEev01b09WlEkcK2oNVSWLbAcQS1muTChVtbkRx6TZrzZ9FNe7GVPFUa6kYoNAw7jZKSyvnX0TQDMbBtRZLTXji/mI6y0gV6Nt2XkICuWq9hOnjNBTqNKUKvdcMkRylJpzpJI1XAsNJkezeSKgwsdn8JTUcAXnPhKpJjOjlyfVtIl4fRDAtNMzDsNHbXnDOV70M3LdKFAWQUEscBbn2GTuXCVSQHAAHp4hCGnQIEMg6J/KSWT9MtNMNEyRi3PkNj+gTN+bM3+EvcwZUwx4YS1eOLU5aukdqzHXOgh7jeovPSG6QfuQ9rdBDleleRnCuhlCSW4WKRcNQVa9WEga1lcPRcNxG6PlHhWIW3Bcm5qE4eyQCup56/CqhVzBGGlaZ3+B5MO0eYHyQKvSUkJ1sYpX/0vnUb23riDsm5TaD8kGhm4aZIjjncj7WxhmZb3YfLbQwhyLzrPsyhXoRx6y7DdlvxwnMBf/NvpalWJVJCsyF56lseP/0zaUZGdGZmYk6djFAKdt1lcP8DSZfac98L6LhJkbEABgY0NK2r3RhDHCtOnIj4yJMOZ85EHD8W8fS3fX7+b2fo7ZVMT8W3tOj4IuZOPU974Ryl0b2URvZgp4sgBHHo4TXmmD35Ao3ZUzi5XkwnS6o4uGzRodeaZ/7sy3Rq0wzueJx0eQTddNAMi8jvULlwiPnT3ycOPdKl4SQFcIM5/cbMKbzmPKHXpGfjfViZIkYql1go+B061Wki/+qUrZ0pUhy+i/zQ9qveU0piOFkMJwuXpeJac6dRStKYPb3k8zIOWBh/DaEbpAuDWJkipp3FzpZRMu62lC/QnDvH3KkX8FuVRYJ3+TFVN/2x3HiU7H4nS6y6unpd6+is/HaAXsgi2y5xtQEC9HwGe+cmwqk5Wt89gPfaMaTrk3vvIxiDfdfdn6FZGJpFxly9+/xaEMQuR+rfeVOOdS1UW+OE0frbFsVrIUxKLboCLP92N2W2Jm+55D/rXbpwh+TcJpAdD//sFPa2DWteiAhTxxzqJfPufTS/8fxt210oTANzbIDsu+9Hz918WPlaCAI4dSrin/3TpJvh4hwTRfBv/88WF31NwxC+92wAIrEA03QIg4TMHD8ecepUxJ9/RRCGalH6I47hC3/oYtmCOFKESekX/+LXG2ha8pmVvEvXE0pK2pVJOrVpJg59a8nlo7oTLErS8tu0K+c58+IXkSukZiO/TWM2cTK/8mFzcRIHcJtzVC8cSib8G7IkSfyzpo9+h+nj3+VK3d9knFczwvr0cRozp1YVWr94vle9LmM61UnO16dZ6WGquh1m6srWly7mTr/EwtmXgaWy80pGHH/mvySh9ouEpovKhYNUJw4ndjIyftsKCa4WSilUFKGiGHSdzCP3gRAE5ybxDyVpwLjeAkNHS9vX3tlbAKFBvqRjmOC2JG7nrXmgTiy8cktEUlfjf+W25jl24A8o9G2jXZ+g3ZxeYZ+Sk69/aU3eWkII+kfvp9i7bdXbXgt3SM5tAul63VoaxVpZjhACo5wn++jdtJ99Fdnxb7+Vo6Zh9BQo/rUn0NPOm6JwrBR4y5RVXalts2Suvszy4CJZiWN11dcZx+C5S19/azRzVHdija/BbZPPKK7zAFIKpaJrc+SuR9OqR6kSC5MbvipvZCyrG8EiAVnTPpVErmDBouQK4+xGvG6zO/GWI56vYvSUsLeMgaaRfmgv4fgU4eQsqsv+RcpJfuPw6mvSi5u8svDVN3vYixC6ZHibSTqnMXkuxO28NWJYCrnGi3X9EMc+zfoFPLdKHHmJT9sVUEoiY5/a3IlVdXldhADypU3I8vqGv++QnNsE0gsIJ+eSCeAmlH+FbWGO9OHs2ox35MySor+3HEJgDvbg7NmKvXNj4lB8u9o4LPNQWYkv3m488p2MVMFCMwXt+bWnY/ODKbxmSNB+E8JsP8DwT45jDvSQumcHxlAveilH+/nXiKYv6YYZ5TxKSqR79XMqUgHz/rk3c8hLoBswlLHI5HVyRYnXkaQyGnNTEQMjBplcoskzfT7EcxXFXp1ij4EQMH0+oN2UmJag2GuQSmlYjqBRjakvxHTat080TzM07KJNdjiXiOQCMpTMH7pM+0epLrlZeT5JhBADAr+55u6oKPJQMlpX64o7JOc2gfICwqk5pBegpR3Q10hydA0t7ZB774OEsxVkEEJ0e7jWatk0qbu3kX3ifozCzbUb3sE7HAJMR0fTE82iyE+u4Z7NWZy8xfiBeeJAImOVeABZSZ1A6EXIOKkJEAKMVEKklUyUaZVUjNxbZuFMi+qFNnEQr6hPcgc3h87Lh8l/+F3YOzfj7N5GODOPd/Q04ewlMT2jXES2vaRuZxmsRqRv3aEArKRDs1fHSQtyBZ3AV9z9cJrBMZMoVLzyvQ6zEyE79jps3+uAgAPfbXPmqE8mp7P7/hSFkk6uoHPhTMDpIx5nj998AfGiUGJX3uTikBPpkxsnUUbKoLyzh8EHhunWOBO2wqUk5waglOzWsK39frrYIanr6ydse4fk3C5QCuWFeEdO4+zeip5NrX1fmkZq307y8zXaLxzEO3LrzO9uFMKxKP3EB0jt2YoxUH6rh3MHtzmstMF9n9xIYThN0I45+s0JELDjfcP0bs7Rty3PhVcXaEx1KG/KsfmRPuycyet/eo6Fsy2CdoSTt7jvk5uwswadqk9lvEVz1uPeT2ykPtlh5lidmWN1Jl6vvOXpgHciglPnqfz+l9CyabRchvDc1GKaavEz45P4x88SrUBybgcMjZnYKYvKbMRX/nuNj/5kEU2HiTNJtObjP1vi1GEPryOZvhBSmY346KdLfPF3KwS+pFDUOf66x9njPg8+keGxD+Y4e3zh+ge+BnTNxjFzFDLDpKwyhm6hCR0pIyYqr9L2b1zoz8rbjOwf5ZXPHiDshGu+F5SUhNe0jrk+ZBwho/AOyXmnQsWS9ouHsDYO3RTJuZgCyr7rPvRyHr2Yo/3c6+s1zNWNxbEwB3oo/9RHsDYNoaWc2zdFdQe3DZyciZUxqZ5vc+q7MzSmkofnwukmQTvi1S+eIXRjZKwI3Bi3FjC4q8DwPWUCN2bhbAvN0iiMpHnlj89QHW8hoySas3C2xZnnZrnwygKhH98hOLcQ0vWRXgCV+rIRZe/I6csKva+EwBRvnVWN3k3dZAsaqYyG50oQ4KQ1vLbE9xTtpuQrn6+xfU+i5O17yet/8Uc1ZiZCSr06ikRPK+z64d2Ma4FlpBnrfYhiZoy01YOuGwi0xNwYQRh7zDVP0fGrS6I5xcwY5dwWbCNDGLucmnoazdawchbpvjSxH1Pe2YNfT4xZVaxoTdy4iOnUmWeZn3yNOPJvyjlcyohYhqynC+MdknM9CDBHBkjtu4topoL72tFbZ5ugJP6pC8S1FkYpf9OGm1rawd4ykggMWgadA0eSYuQb6oa5OQjTwNowiLV5GGfXZqzNwwnB0dcv13oH71x4zZALry6QLtoM7ioiNEHtfJs4lERejNcMURLKm7JkexzsvInbCEmVbXTj0jUWeRFeI8RvXYogxIEk6ET47fAHpdHprcPFVsQVvmcVrFzMa2tptuUfvkUDuwHoEfAys5MRUio6TcmD785w9pjPhm0Wg2MmtiOYvhBy9rjP4KjJ0AYT0xZMjwdcZM+GAbvuSzGyySKV0Zg4u/oCZk0Y2GaWsd6HKOc2kzILGPrVC0alJNoy9SxR7JNz+smlBggjlxnnCHG6SWY4Q3Y4R9gOyQ7lSJVTKKmI/XhVJMd3a0ktzk3eUM3qOEopTCu9bpYTd0jOdSEw+spkH9uHd+ws3uFTt5DkQDRXJZyax+gpYPQWb3qXRrmAlkkhLBPZ8QinFogbrcQra4UukTVD1xCWiZ5NY/SXSe3Zgr1zI86OjaCtv/7BzUBDR7J8m/DyEF1bjzuz4psBGSuasy6Zss3AziJeM6Q+2SEKYpRSFIcztKs+xeE0xZEMds6kNtG+6hoLOnFieHgZQjfCzhrk+lN4jZCgc6cA+XaEqTmMZfa+ZcePhce55kucPebjuYn9y5ZdNt//Tpt8WadQ1pESwkAxfd7HMCCV1VBSEYVqkUALIcgVBE5KMDMRMnFm9fNHYtC5geHyvZi6kxT5yoAoTuwrbDOLrq28KPbDFrpm4ph5TCNNLj1IQ3cRmgZS4VZcZBgnopiOjm7pqxqflBGsgxVDuzGF16kiNH3dpBbukJzbDVLReeUYWtpB7ymsCzHQbAvnrs3Ym4fpvHoc9/UTuK+dIG624eIEsNYWIZEYXiIEeiGHOdxL5oG7yDx2L1r6xiM3i+qbUiahV+1WRnwEjpYhUF7XofjaN1Pif6xjChtPtW/huO4AAAGF4TQbHkhcry9v52/N++T6Utz3Y5s48fQUuqmhWxrZPpvkuaguXUtKoWJ11bVdGW/Rv71Az8Ys4y/PM3mwdnukrIR4UyQV3q64pND75vxYUSw5/sbSbqLjryf//taXGwgBmsai4OfcVMQLT7XR9Uuvlfsh8CXf+2abucmIMLhahuJ6EEKnmBll6+B7MPUUoAiiFp2gQq19AT9oMtb7ENnUyoKKYdzBDeoEUQfTSFHMjDI3eZzWXJ1qxqS0rczs6zOgwCk7ZAbfmsaQKHSXeGKtB+6QnNsQ7qtHMUo57O1jGKX8uu1XODaZh/eSfuAulB/gHTuHf+wc4dQ84WyFcHrhhjqxhG2i5zPoxTzGYA/2piHsbRswegvo2XRXTW+VJEUq/NMTNL76XVL37iD3ngfWeJbXh4ZGnz5KNZ7BVS1Crt2OLNDQhYElUniqw+0xI76DoWDhTJP6hXZyLUlFHEmUhIlXF5h8o4JuakReIkWt6RqaLojDhKxKmXRXtWY9vvufjibdVpfh8Ncm0MykHyUK3noNEiwTzTLR0g5Gb4GbsiUQAuHYGIM9SNdH+SEqjHhTpLdvMSIV4EZNWtE8naixaLasCR1d6NDtMlovmhipa6eVLgqCXonLX3PbSTGy7yriaPUEB6Anu5ne3FYcqwDA2dnnmK0fpeFOdwm8oq+w85okB6ATVHDDOpaZIZcaRNN0kGBmLPru7mf+yDwykmSH8ww9Mkz1RAUZvv0j13dIzm0IFcZ4J8+jP/MKxb/2xLrsczEipCeSvsLQcXZuwhobSB6EQYj0A2TbQ/pB8mCMujL0ho7QNYRhIBwridAYBsLUEZaJlrKTehvTQBirC3NCUnAtWx1qX36K4Mwk5tggMozQzFt5eQpKxgBF+olUQDWaIVQ+Bb0PW0sj0OjIOo24QlYrkNGLRCqgKRdQgCUcsloJW0thYuGqNh3ZwJcdBszN6BhIInzVYS566/1vbjdk+hwMS0/SUtPLSNarLgG5LIoD3RKPSCHjbsGwglhK4ohlycqVBAfo1hyoq/Z9PQjTuPTHMpM/i/82ELaJMC++pqNZVvdzF7dL/q4t2c5M0ryaBpqGsIyE2K0VmsDePEzfL3wKpExSdTIRYJRBcp+rMLr0xw+QQZQoE4cRBFHyuSWf6W4XRagwTmQpggAVxqg4vhQNvsXQhUnayGPrKQpWSCh9grhDJ64vOpAHcWfdDJWXsz5ZLWoLMUdednE7as08M5caIOP0oZA0OpPM1I/Q9uavUBW+/ljDsEMUuQgEtplDoJEbydG7p4/++wYQ4tICwVtwkdHbn+DA25zkiGwas7eIXswTzVexNgwhvYC41iCareDs2QaaRlypEU7MIlvdh6muoaVTGAM9GOXCYoGvimJko4V/dgLlBdct0NVyGYzeEtbYIN7Jc8Rz1eRBcfH9tIMx0IteLqBnUkketd4kmqsSzVWuGTWJ5qp4h08TPrQbo79nXQt2RTcsrufSl2wVVHJLKy/oPtC6cv1SJcfWNYSekBphm+taXxM3WnhHz+KfPJ+QrLaLbLtoxdy6HWM5SKWQRCilKOh9VOJp0loOQ1i0ZZ1IJTPnxYedKZIOClDomKS0JKQbqRBLOBi6SQOBIUw0klWlwe0nV387YOjuHpyijVvxlyc5F7HSs/vK19cyHy23jaFjjfRh9JURptG97rvX/kUSb1z8e5foG3ryd8sAw+j+W79EZC6+1iU/wjQQug6GgWbq65qmEkKgZ9Po2y8zT1WJPpCKIlTQtVmI46VEJo6T18MI2V3gqCheJDYqjLr/Tv5OGHa3kQnRiWJUnNh+yLabyFbcZM1frEIWvPOYuoMpbAzNQhcWujCxRGJYaWkOhmZhag5OnCWQ7qJLeSg9IukTLrqUv/mTdhgowuDmyJJt5rHMbOLH1pnE9Wtr8p2KVdjVHRIYmp342wUSv+7TOFfHXXBRShF2Itz5zlsf4VwnvK1JjtFbJLVvN6ndW2kfOETuiYeI2y7B2Qk6Bw6R/8i70NIpvONnaX/3AP6xs0CyIjP6SmT234u9eQwtmzgSqyAkmqsgv/I00dQcsrNybjDpHhoidc9OMg/fTfWP/gK30b5EcjQNc2yQ1L7d2FvHMHqKKCmJJmdxD56k88oR4rnKivuXzQ7+mUk6rx4n98QD4Fi3tk5FJGFekbIh9eZNzNIPCC/M0vrOy8hmMtnJTmLqZ9xiktORddqygUCw2b6bejyLIUwiFTAbjS9+zlUtRKxRMgYXX9OEho5JS1Zpxgv0GCMU9F4C6S2p9ZF3CpWvhoBN7xomP5xm7miVU9+eeKtHtAjNMkndt5PMI3sXC/Y1uxu1ebvWzAiB0AVCt8Be35ZsdTFK5PqLkaJwcg7/5HnUGmw/LkcgXc61XyVr9JA2CjhGjpSeLEIuCuHZWhpHz1JiOBkPkkiGtMJ5WlGFTtTAjeu0oiqR9JFctNiQyO7/b3dYRhpLT6FUTKMzhVyjQKJU8WL0RxM6AujMtvEbPp3ZDrUz1UREU0uul3cK3tYkB7rRksFe9FKe+le/Q+axfWTf9QD2ljHqf/ot0g/djVEukH33g4skR0UxoNCzaVpPPU+0UAfDwBzspfCJ91M0TRpfewbv4IkVj+vs2kzuw+9CL+aoffmbtJ9//VKBo6Zh9BTp+Vs/jmy1CU6dp/6lbyJsi9wH9pN9/H7sLWPM/4c/uOa5yVaH2he+ibVhCGvjYFLv8g5D5+WjtF84iPvape9aNjtEs1XszSPX2PLmERMjidHQ0EjSbKEKrpuLvwRFoDwiIhSKmIianGOP9RiubFOP56hGU7fuBN6msLImxQ1ZUiWbuaPVt3o4S6FpmL1FzKHeJRIOiUHyO+fBv14QmoYSAi2XZnEJptS6fFexCpn1zjLL2UvHQyNjFMmZvaSNAmmjSM7sIauXEEJHEzqmplGyRyjZS58f7bhGO6zQjmq0oiqNcIZOWEdez8vtLYaumWiaQRT7hLF3WQH26tBdxgKgLvO4i72I2ulL92GqJ0VuLM/My8ubcL7dsCqS89nPfpbPfvaznD17FoA9e/bwT/7JP+HJJ58EwPM8fuVXfoU/+IM/wPd9PvzhD/Pv//2/Z2BgYHEf4+Pj/MIv/AJPPfUU2WyWz3zmM/zmb/4mhrE2viU0DRXFtJ56ibjWwBwZQM+lCc5N4B05jebYOHu2Y/SWLm0UxQTj01T+6/9EhSEqVggB4flpjL4S6fv3oOcyVx9MSdAF9o5NFH/yowTj07Sfe43O9w8u6eDQ0g65DzyKAFrfOUDn+weRrp/kPDsumcf24ezehr19I/7p8yuHdVUS6Vj43P+k8CNPkN634x1DdJRStL7zMs1vHyA4M7nkvbjZJpy79ZNfjzFELyNIFTMfXWA5C0VbpCnofRT1PtJanpY+RF3OL7M3uukpA1PYxCIipWXJ62Vq8eytPpW3DYSAkX19OHnrtpIUWA63+/huF7yZ35NC0o5qdOJGkhIW2mJjQKob6UkZBbJGD1mjhK1nMDUbpRRpvUBKz9KjxpIYq4qJZIAft+jEDVpRhVY4TzuqE0h3zRGT9UYkA2IZIoTAvKiNswaeYxkZLCMNKPywTbrXoTQ6TGZg6VyX6suQ7kmtiuSksn3kihsoD97FwuQb1OZPEQatG95eCJ0tez+GaWXx3Soz4wfotGZuePtrYVXMYnR0lH/1r/4V27dvRynF5z73OT7+8Y/zyiuvsGfPHv7+3//7/Pmf/zlf+MIXKBQK/NIv/RKf/OQnefbZZwGI45gf/uEfZnBwkO9973tMTU3xsz/7s5imyb/8l/9y7WehFHG1jvIDlO8jOx5xo4UKQ2THQ8Vxki+/HFF8qUaHrueH5xHNVRG2CaZxVZODsCzM/h7yH3qccGIW7/XjeMfPXqWbIwwDa/MI0UKVeKGWHKdb8xJOzhHXm2i2iTHYS3B2AnWt3LWCaLZK+7nXka5H9tG9aLnM2/oBLF0f7/g5Ws+8Sjgxe5UgmOys7GWzLsdHUomn0KSOhoZSCl91kgLkeHaJCFWkAlqySqg8dGHSlnViFeErlwrTeLKDQtGIF4gJ6TGGmQxPEUgXXZgU9N63jOQIXWBnTTY8Okh+OIOTtzAcnZW876pnm8wcrjD12hWS8wJ0U2PkgT5KG/OkyzZW2kRJRXvepXK2SfVcg9q55R9quaE0PVsLFMeypMsO/btLZPuT1vCxRwZ5768uvTeVhPEXZph8ZQ6vfos0qe7gbQvVTTnJ5B9dCELp09EamOE8VW0CU3MwhYOp2dh6BkfPYutpLC2FpaUxNRtLc7D1FCmZJ2/2EthjhNInlB5u3ORs65W37kS7CKI2YeRimWmyqQHmGifWEHsSpO0yjlVAKUnHr+D0Omh2TORGiZ1DF7ptYOdWl9a0U0VyxVHy5Y0IoN2cWRXJUUpi2jkyuQHsVIF2c5ZOa5b1KAxaFcn5kR/5kSX//o3f+A0++9nP8vzzzzM6Osrv/u7v8vnPf573ve99APze7/0ed911F88//zyPPvoof/mXf8nhw4f55je/ycDAAPfddx///J//c/7hP/yH/NN/+k+xrDXmi5VaJBoqlknhrOuD6uaMlbq6Y8E00LueKsI0EJqGcGz0Yq77727+/bLvWC/lsXduJnXvTup//jTBuUni+WUiDrqG0Vsimq1gDPRgB5sX3xK6hp7PgqahF/M31EmhghDv2DlUEGLkMzh3b0Nz7LederCSEtnsEEzOJZ5ax88tW3wtOx5x7cZvkDWMhKa8vB7qUptNW9aWfDImoiMbdFhKuiQxrcuK/1zVJI4jRsytLERTRCrE0TJorJ8EwGogdEGqaDN8Xy87P7KB3EAaM22g6QLD1nGKNpqRGFeGbkSn4mNYOq2ZpXVoQhPYOZPe7UW2f2CMvh1FUiUHw06uPbfqM3esxvTBBWCG2njzqudSptdhYHeJgb095PpT5IczmGkDFBQ35Mj0OEs+L2NFe85l9kgV7pCcO7ghKCLlE8U+XnxJqVegYWgWKT1H2iiS0nM4egZHz2FpaWw9ITuOniNtFBa3i2VIO67dFiTHDxv4URPbzJFPD2GbWWIZrirSlLKLZJwebCOLVJKmO43MxIR1HzfsEDQv3WcyvFpA83qw7BypbB+WncdOl9FW7V2hiCMfTTexzRTZwghzF15ec2rucqy5JieOY77whS/QbrfZv38/Bw4cIAxDPvCBDyx+ZteuXWzYsIHnnnuORx99lOeee4677757Sfrqwx/+ML/wC7/AoUOH2Ldv3+oHotTVXVBKdetuLsdlZELX0Et50vfvJnXPToxiDi2dQthW0lGxQhu0vWUUczjRIrjYebFsG6oQCMfB3rEJe/umZYX2pOslbuM3qOqgXA/v2FnCqTl6//aPYW8ZSbYXt5eS8HJQKmlLVF6A+9pxmt99Fe/gqRU/H7dcokp98QK/9ee3Pm0EkQqYjybpM8YQCDzVYi46vy77Xi3srMnQ3T28/x8/iJ0zmT5UYfZYldZMh3SPw5Z3D5Mq2sShZOFUg2NfG2f+RI36xFKxQzNjMLC7zBO/ch/FjTmCdkR73qV6roNh6fRsK1DamGPDowP07ijy7d96mdhfej8KIQjdmNZMh/Zsh6AT0bu9gJLQnGwzdXBp5EhJxcLpOpF3e6QL7uDtC4UklB6h9GiE892nbaKm4+g5BlNb6bHHKFj9aOJSw4UmDBztrRHEuxJNd4a03UshPUops5FSZiNSSVy/co02d7H4f03ojJbvJ+v0o2sWYdxhoXmKxsIMcRwuEhrRFXb1GwGt6dWJnlpODjtdAhSNyrk1Cfp1GlNkcoOksn1kC8Pc6Nx4Paya5Lzxxhvs378fz/PIZrN86UtfYvfu3bz66qtYlkWxWFzy+YGBAaank9ze9PT0EoJz8f2L760E3/fx/UuCbY3GzaUy0g/sIf3AHuxdW6h98S8JxyeJa8kKNPXAHko//qHlx3HsLK3vvYyezVL40fcjNI22EATnltaUoBSq4+EeO4378hGCC8ucm1TEzfY1vVuuQiyJq01m/vV/JfeufaQf3kNq79YVSdltg67QX/3LT+GfmSSuX8cTJYyQrQ6y3kLLZ9frWr/lkMQ0ZYVmcHl0763pwxx9sJ+dT27Azpu88ceneP2PTlI5142yCDj61XPc/9M72fSuIVIFm0N/ejoR17tiuNs/MMbuH9lEcVOOU9+e4MB/Ocb8idqiSFimN8XdP76NHR8cZffHNjF/ss7Jv7pAe/bSQ27qjQWmD1a6wn2Cuz+1lUyvg4wU51+a4Znfvto8VnX1Ou7gDm4WGgYpPUfe6iNjFEkZeTJ6iaxZ7nYZLR8Rv106ryqtsxi6Qzm7iZRVZOfIh6m1z1NpnWGucYKWN8uVD0khBCmzRC41yFBpL3357QihE0Tt7rZnFz+r2zr50TzD+0fRzOS7CDshR//w8A2PUTdsTDONUopOcxoZrT4C67v1JJqj6Vh2dtU6Vith1SRn586dvPrqq9Trdf74j/+Yz3zmMzz99NM3P5Jr4Dd/8zf59V//9XXbnzHYh95TxD96Cu/1Y0jXQ0UxWsrB6CuuqNYbN9sEZyZRfoC9dRRr8wjCsan96V8ha5cmbhVG+GcnMIo5pOsTTs5dvbOLzrtrCcdFMZ1XjhJcmKFz4AiZ/XfjbN+QaHjcRlEd6fqEU3N0XjlG58BRorkq0vNv6MJVYUw4U8HOpYHbnMRdhbd+ds72pyhtzINK6lvaFS+xOOhi7liN+mSLOIjJ9DnYWQsZeEvE8/IjGQbuKtGzJY9XD/j+7x+leqaxhAy15z1OfvM8sRfz6N/Zw+6PbWLm4AKdefeS9Yy6JMkv1VICo6RaMq47uIO1whA2lpbCMbIJmdELOHoGW09jiIsaO0ZXIdlAF0n3XKwiQunRieu0wypu3MSP23jxrasLXA2UktTbE5ya/g67Rj6MoVvk04Ok7CL9hV1EcUAu1Q+ArltsGXg3sj9CEwaGbmMZGYTQiWKPSuss5+dfXLJ/u+Cw4T0b6cx3iPwYM2WgO6ujBppmohtJuUkYtBfVqFeDKHSRMkRoOrqZWvX2K2HVJMeyLLZt2wbAAw88wEsvvcRv//Zv8+lPf5ogCKjVakuiOTMzMwwOJvoig4ODvPji0i94ZmZm8b2V8Ku/+qv88i//8uK/G40GY2Njqx36IhIdAC2xhxUCYZro+SxGfw/W2FAi1LUMVBQjOx6y1aZz4DDpR+/FHOoj/cAeWk+/tFhfooIQ7+AJch/cj7lhiLjZJpqvQhQhLGtRf8M/s3Yl3LjeQro+cb2JimKi+RrmQBm9XEisIHTtLUljqTgRAwsmZhO7iPMzeMfOEZydvP7GS/YTEy3UsLfe2jbydyoMW8dKJ7d3Z8EjDpauSsNORNiJkLHCcoykIFkXcBnhKG3IkR1MoxkaC6drVE43CN1oCYeTkaR2vsXssSp+K6S0MUduME1tvHWnaPgObgk09KSoWLMxNBtTc7rFxA6m5iTaOUYWW8t0xQJtBFpXQycgUgFe3EyEA6WbKCdLFz9uL6omB90U1+2CIGpTbZ9jqvo6Pbkt2GaOlFXEMQtLPifQyKUGFrvOhBBJY0XYpNI6y3zjJE13aSOEZgisvM3s67NYeQutYGM4Bmis6B5/NS61p691kaeUvEyFZf0WtjetkyOlxPd9HnjgAUzT5K/+6q/4sR/7MQCOHTvG+Pg4+/fvB2D//v38xm/8BrOzs/T3J8zzG9/4Bvl8nt27d694DNu2se31E6iLa03iZhuzr4y9dQPKD9Dy2aT9vJC7oWhI55Uj6KU8qX13kXviIdyDx4kX6onyZxDivnaUzOP3YW/fgJ7P4B8/h/R99Ewao6eIsC2CiRlUFK154Z+IF9ZoPX0A79g5Undtwt6+ITlmLrWotrooG7/e6HaMEcuuImqURG8m5mi/8AbesXNECzVYizx4l7gpqd4u2arbCkoqZJRcWJqpJ4X0l0EzBJomusX56qr3AUpb8qSKNqEbMX+sRhxcnc4CCFohrdkOrZkOPVsL5IcypMv2HZJzBzcNjUT75uKkrQkNS0uRMUqkjByOnidjlMgaJUzNRhM6SqklYn+RDJAk7eJu3MCNmrhxg2Y4Tyuq3lbt4itBqggvqHNmNulULmRGcMwiupZEphBaNyuQ1OAoFFJFSBkTy5Bq+xwX5g/Q9KaJ5RXdrKGkM9+hPl5n4N4BrIyFMARCEzdcgKxUjJQRmm6i6faKKcBrQWjG4sJcXcdtYDVYFcn51V/9VZ588kk2bNhAs9nk85//PN/+9rf5+te/TqFQ4Od+7uf45V/+ZcrlMvl8nr/7d/8u+/fv59FHHwXgQx/6ELt37+ZnfuZn+K3f+i2mp6f5tV/7NX7xF39xXUnM9dA5cJi41iT/kXfR87/9OMSSaHYB/8RZ5v/DHzLw//5b19+JlLSefZmoUqP80z9C+dMfpfqFrxNNzYGUxNUG8//xj8k8cjepvdvJPHwPWEYidDezgH9yPKnHWadIfTQ9T3N6nubTB9Acm9S92xNvqo1DmCN9aJn1C/8tgZSEk3N4x88RnJ7APzNBcO7mRaRUFBFOzidEah0q7G8nvBnn05rzqJ1vkh/JMPZgH83pNkHr0sOtOJYlP5zBypp0Kh6t2c5V0Z78QBo7axL5ktpE65qZ1diX1C60KG8pkB1Iky47VM5cp/bqNsc77bq7GVxJgd+Mb0YXBkVrkLzZl5AavUDGLGBr2cUIxZVQXcPKTlynGc7TDmt0ohrNcIFWVLlt6mzWhiQic3TiazhWgZwzQE9+K4XUMJaZxdAsNGEQy5AgbtPxKzTdGRaap6m1z7PSr+ZWXE7+z+P4NR+36oJIanJUdOO/chz5RKGLrVtksn00K2cIV7nGcdJlDDOFkjFhsH62EqsiObOzs/zsz/4sU1NTFAoF7rnnHr7+9a/zwQ9+EIB/82/+DZqm8WM/9mNLxAAvQtd1vvKVr/ALv/AL7N+/n0wmw2c+8xn+2T/7Z2safDg+TfWL36D2Z08tvtb8y2dpfeuFxF5BKbyjp/FPn1+SgpKtNu6hE/gnzy0aSqpYJr4sfsDUr/1/ka63aDznHTzB9KnziY+Le6kAWrk+3hsnmPr1fw9xjHSXulnHlSrNbz5H6+mXkuOL7k3YPRbhLVg9SIV0PToHjiQqwrqOsE2McgFzuBejt4heyCYu4oUsejaNcLpGgl0PnqTgS3W/jzAx8PODpLW7Uk+8t6pNooU64fQ8cb11yetmndyOZcej/fwbuK+fWF2dkUoKum/WN2fN0DS0tJPUHl3R4Rc32nQOHOH8L/3Wmnev4jjxVbsOJl+eQ9cFw/t62fdTOyhvLVA5Xac95+EUbba9b4TCaJbWTIfv/5ejVxEcAMPR0YxERyj2rv27KqmIPQkoDFtHs95udVQJZNul8j++TvWL37qt6tveSghgY/peMkZh0VJhLjhHJZjAja+WekiuUf/qHa0Sjp7j3tJHEEK7TPjv0m8iiQilTzus0gjn6UQ13LhBJ24QSb+rpSMT97m3iYXDjcILGgRhm2rrHELo3QiIuKxWNzlnqeJufczKjEEzNFK9ae75uX1MvzRJe6aNZqwuEuO7NdzWHHaqSM/Q3SzMHsVza6uqOS0P7MLJ9BBHPu3GxDXHvBqsiuT87u/+7jXfdxyH3/md3+F3fud3VvzMxo0b+epXv7qaw64MKVGuh7qsW015AYrLJoGLk+/l2yl1yYhuGVzZ/ZOY2C2v23Kt95CqK1D4JoftFYkRX9A9v5ZAtl3iSh2RshMX5ItGm6aJMLoOyJrW1e3p3ipSdV2GZWLEF0UoL0h8arwA5SXCi+pWkDWVpOPi1XSfrScMndR9u/EOHr+xB7YQ6MU8mUf3ES1UCS9ME1XrKPeyvL5SqCAiDq5R0Kjri4aOsn0N48rroFP1mXpjgQO/f5QHPrOLwb1lShtzSVu2EAiRFCTPHKow/tz0smHpOJSoWKKZ2mLXxYroCgaCII7k29fBWClkx4PO7VOP8VYjrRcQgUdd1WlHVQSCTtzEky3iG7ZAWT0EGpZ+KQIdyxBfevhxm0C6RCqpr4llSKQCNKFj60lEQ6qbv/6kipn3z930fm4NuumodUizmRmL/rsHaJ5vEAcxVsbCyturSld57QXajUmKfduxUgV6BvcihE6zcnaJuOpy0HWL8tAe0rkBDMPB92o0KufWxQUe3gHeVTcLc7gXlEwmeF1HRRHC0IkqSUGv2VcEAcLQiVseca2JCiKMcmIeKYMI2UpYljXah/R8ovnboyp/EUqhXJ/IvfnV1Q8EDB09m8HoLSN0/dKtZhhJed1F1/owQoXhYvTG6O/B2bMd9+BxovkKmmUiRaKArTw/qb+S6pr70fPZrkClSTQ7n0y4a4iOxUFMp+pTOdMgDiV+PcBrBsSBJApiGhdaTB+qMnesSv3C8poYQTskDiW6o2NlzWU/cxGarmHlzCTU3Y6SDqw7eAdAYGgWhjBpRVUWgom3LCKiSGQaYhUtEhypJLpmYeIkizVYEu25GUQquI1JzvpBt3Syw1kWDs8n4p9Fh1TP6sobPLdKuzFFFHQwrDSl3m2IpOAP360RRT5KxqAS8xxN09F1C91M4aRL9A3fi+XkUSgCr0mzen5tncfL4Aeb5OgaxScfRrk+WtpBz6eJKg30Qob6X71CXG9R+tijYOrouTTesQs0v3eQcHKB9L5tCKERztbovH4KYRgUf/hR/PEZ6n/x4vWPfQe3LbRMGmNkgODchYR8AOg6ej6L0PVFH7S41iCcmkU4NsZgP9aGEaQfEM3ME1fqAFijQ2iFHOHENHG1gQrCa+zHwto4jLVhJLEAyaXxT59HNtam/pwu29z1sU0oBS//t2Oce26GTuXGIxTN6Q5+KyTd45AfziQruxXavQ1HIzeUSiTdFzy82jUI9eUSOHdSQrc5FEHsYWkpUnoWW0vjy85bQnQMzcTQimSM4ptyvCB2Ocy335RjvZVQShEHEU5PitiPsAsOVt5alepx4DVo1iaoV85SHthFpjCMkylT7NvB3MRrtOoTREGbOA5AgWFnyGT7yBbHKPRuIZVJRHbd9jyt+gWatfF1O78fbJJDIprUPnwOs6+Is32E2tdeoufT70XoGsH5OWb+4/8EILV7E+ZAifTezdQnF2i9cJTCe+7D2T5K543TOHeN4Z+bIbiwjCbOHby9EEUQReQ/9gEqv/cF4koNzbGxd20lc/9u3NePgWmSfd9+Kv/PF5IUkxAo2U3p+UESHUynMPp7kI0WpU99lPaLr+EdPIazayvp+/fgvnYEYdtk3rufyu/9EcKyELaNsExk201qb9ZYW5Qq2vRuL7Lp8SGO/+U4s8dqqyI4ABdemmXk/j4G9/awcf8gVtrAb4ZXPfwyfQ49WwoUR3P4zZDKyTqNqZVTbVEQg1RopoaZ+oF/BN328GSTcfcgvdYG7i68l07c5FTr+0lX0m3u4H0H14c71+HIHx5m84e24pRTtKZanPnG6VXvx2vPc+r1P8F6+DOkcwPohkMmP0QmP3ipE/cyCES3oj1R7fc6FSbPPMv8xNXioDeDO08YQHoB0g9QYUzc9kAphGlgjfaR3b8b5QUYvQVQEM4nK3TZ8Yg9H93S0bMpUrs24h46QzC5cJ2j3cHtDun6hNPzXbuQS7emEALv+Fn8U+NomRRGuYCWyxDXGkQLibGrOdhLMD6JdD0M205WLYN9aJl0YgUiNBAC7/gZ/NPjaNkMeimPnssS1xrJvtIp4mYr2c9aCzi1i3pQguJYjuxAiuZMh6B54zUUzZkOMwcrlDbm6N1e5MH/ZReH/uwMtfHWYkTHKVhse98Y2z8wilKKo189R2O6s2JNjlKKxmSbyI8p9KXov6tEumzj1nzWoYzimhCOTfZdD+C+cZy41njza+XexmhGFby4zZx/jrzZy1hqN9P+KZrRrXveuXGDl+a/fMv2fz1cr5bknQIlFWEr5Ny3ziJ0gQxiwvbqa62UkoRBm1Ovf4ne4bsp9GwmUxhB08zEG3KFbeLIozp3gpnxl2g3ponCtdciLoc7JAeSyeyi+nC3P98oZEAp9FwKd3wWLZ2ssBcF9qQimquDVFijvej5FHGzQ9xavWfHHdxmkLIbjVm69lBKETdayI4LmkAFQVJvIyUqDJMi8yhCeh56MYdeKoAQhBPTyD3bF7UfFvfTdpM6ML+7n4t6Q2GICkKkd6nDb7WIvBi36lE/3yI7mGbHBzcwsLuciPlBcv0GkrAd0Zp3mTlUIfKiJUQjDiTThyqkSja5gTQb9yeCnbXxFn4zQGiCwmiW0Qf7yY9mqJxucPqZSdzqNSJGCmrnWzRnXbKDafJDGfZ+civ1Cy3iSCKESMQHT9WpnW8SuesYKZCSaL6aLGjWUYfjBwGxColVSCA9dGFQSg0tKgbfymNWg9WJiL4TkbbKOFYe00jjBQ1a3mxX6+bma1bymwpkh5L6Us3UkgYTldT0zRyYWvX+lJK0G1MIzcDrVEhVz2OnSphWKiE7IqmbkjIiCj2isJOkuqrnaVbHiSJv3WpxLuIOyVkBej7x4ZBugHvsPMIyMHuXqksGXR0XZ/soKoyRXrCsq/YdvI0gBMIwksiLoaOlU8hW55Jb/BIrDrFiTYnRW8YY7EWzLNxXJ5J9XH5tSHlJ50NwaT/dbjYtnULLZJCdzppSVjKS+M2Q6niLDQ/3s/MjG5akmZRUhJ2ITtVn/kSd2ItZONNYoqUDMHe0igxjerYVGL6vlz0f34LfCulUPDRDozCSAaA953L22SkufH920ddqJTQnO8weqZIq2ZQ35njwM7uojjeTNvZul9YbXzxFZ8G7iuQIx14s2BaWmXRJ+j7KD9Gy6eR7FKIr6eBd+u4MHWEaBOenUO3ub9FVOxcpC9QlI1jZcS91DOr6osaUMI2k4zAIb6rz7e0GHRNdM7q2lhoxEZEK35RIx1rsAd5pyGeG6cluJpsaoNYa5+xcAymjdek+ym8oMHDfIAjIDGbwKh6xHxO2gzWRHEiITrN6jmZtHF23SOcHSaV7MEwnEfxDEEUevlvHd6v4nWpSq3OLcIfkXIbLL5pwro50ffLvux+jnEtW2EFEtHCpcyqaq6NnUjjbRml+9zVk50730tsdWiaNOTpI6t5d6H1lsu9+GO/gccKZ+WU+vfJDJm62MYcHcPZsRyvk0Iu5lVWnL9tNXG+il/Jk3/841ugQrWdeJFr22NdG/64Smx4fondbHrfu05xKiogvppEMSyfd45DpdejdXmBkXy/f+PUXmXh5blEpGZI28tljNb72j5/jnk9tY+NjQ5Q25ejbVUSGksrpBhe+P8v5788y/tzMDY/vwOeOMvXaPDs+NMaGRwbo2Za4koedkNZMB68eLJvySj+wB+eurQhdx961heDUOJ3vH8Q9eJzCJz6Alk4hDINovkLzqReIZ5N0ijncT3rfbjKP3sfC732R4MJM0kmyfROZR+8FKRG2DSLR2vJOnIUoxhzsJf/ku0EI7C1jyFYH7+hpal/8+qp/k7cjBIKiOchoaiemZnefkYKTre/Tjmtv9fB+IJBz+ilkRsnYvThmgfGFl9at8PvCd8a58J1xhCbY94sPcPJPj9MYX6fuYKWII59m5RzNylvXpfaDTXJiyfx//yYyCPHPTNM+cALp+cz+5z9HhTEohXvsfHf1DqCWFl0KkQjo2Qadg2eR7ts3x1/u0/lff6WXeiXmW3/W4PTRt++53Axku4N/4izB2Qs0vvrtRbsKpCSu1JLLIIqJGy0aswvJil9KZKuDf/o8wfmpxJJieo72QpXOgTdQQYjQNVQQoqIY96XXFvcjm20aM/OL+4nrTbxDJ/BPn0+iEWuoydn4+CB7P76Fgb1lpl5f4Lu//TphJ0Re7uwtBJouKG/O89gv7mXw7l6G9/XhNQLmjtaW7lBB5Ele/+NTHPqzs2i6QGjJ6zJWxKEkvk705kqEnYjzL80y9foCuqklthJKobo2E6EbXbVPvZBFz2WIa00aX/sOuQ+/i3i+hooi7O2bUB2X2le+jTB0zJEBih97Lwu//yeJKveFGVotF2Ow92rBSiFofP27yHYHY6CX9P59+OcmEJaJXsghLJPK575Mev+9CYGa+cGpu1MoKuEE9WiGy3WPYxW+o8T1bmfYZg7LyCBVTKV1Zl2jHkbKwHAMhCYwbAO7YOOUHJRU+PV3xqL9B5vkwKJK8cV6CGBJREatUGNjbx3GHutHL2VxD59NUlVvYxl4TRfkChq+K9H1H+C2XqUgjpdVbVUyWvK5JYWrl20HLNb1JNYdSwPLS8QTl9lPQqzal/a7Sozs66O0KUccSk5+a4LWbGdJdOZyNNMd5o7XGbqnl1TRws5ZK+438uJ11b+RoSRYBTmSro8KY7RshvT9e9DzOfzjZ0EqjP4yUaWRpJpiiV7MJy36Fy9lKVFBkCiNL/kxkhZ+2XaJmx20TAc9k0IIgfRDpB8ghEb6/t2YfT2EswuEU7PLjO7m0Dugs3GbxX0PO5R6DZRSTJ6POPaGz8vfu/QM2rTd5Ef/RgEnnZzY7GTE8UMBz/zl8lpH6wGFJFI/OIue/e9N0zdo0KjHfPurt+57vVHomoWumaAkXlBf1zRhYVORwuYCQgjiIKa8s5fcWJ7Yizn3rbPrdpy3Ej/wJGet0AwdzbFQYYx3/PyaC0RvFwS+5OQhn9pCTLt5Z4W2blgr8b0Jwlwcy+IUbdyKx/zxGnIFbRsAFSuCdpgkITQNcQt8XNcLKghRMkboGiJlEy1UiRdqCNvq1uF066Uu/lnGdHSZvSLbXkJOlULFEi6mFaNoUSdJS6eIm23ihRpxbX3FPjUNtu22uX9/ij37bKJElBqlYPrC0hop0xQUezRyBZ2tuyymJyKU4paSnB80bNlpsXmHxcxUdFuQnAQiIZuxt25KwNAtYete77XTteQ1TUNo75w54A7JWSPcY+eTVNY7BI2q5L/9u8pbPYw7WAeYKQPd6Lr5XoMsCS3xp8oNZhCA3woI27e3G7PQNOJWm9Yz34cwQimFUSoQ15rYm0cRtpUsQNJOIsh48fS1pKBcaFrXoy2xoEhwje9ICNAErWcPdEmWXPeIrZPSePeHMtz3SIpDr3j86efrWJaG60pqC0sjZycOB/zTvztLNi/4R/96ACf1Axx1vUUII4XvKzz39pjoYxkiZYgQWtfGYf2uv/nD88wfXn3N39VItG6E0FEqXlO0KSlKTs5OyWv7ba0Gd0jOHdzBOwzV8SaF0SzpssPeT27he//ujWUNOPt3l9nyxDA7PzyWFBgfrt7WzuFaLoOwTMyBXso/8wmErhPNV/GPncY/fhbnrq2Uf/JjSd3MQpX6n/1VUlDs2NjbNpJ+YA/2ljE02yI4P0U0V0lsM1aASNlo6RToOqWf/msITUO2XcKpWZrfeHbdzmt0k0lPv051IeYP/3ONU0eDiyWAy0IpaNYVYaCwnDskZ73xhd+tL0bSbgf4YQM/bJGyCzhmAcHtZ36bzg1Q6NlM7/DdzJ5/mcrsMUL/xp8lQujsuO9TmHYOr1Nh6sz3aDfW1t11Je6QnLc5DAMGRk3+3r8Y4NlvtDjw3Q7nTy3Nnxd7dH7qfy/jpAV/8YcNjrx66cH+t/9RH9vusknnkpDl6y90+MaXri48tmxBuU/n8Q9l2XWfQ6Gko+sCtyM5c9TnG19uMjMR4rtrezLYjuDv/Fofblvx/e+0efnZSy26li24//E0n/7bJf7HZ6u88VIHt33pONv22Dz8RIbNuyzKvQZCg1ol5uxxn6Ovebz41NJ2X02DwTGTD/5onk3bLYq9BnGkOPKKyzNfa3HuZIDvXdr/Rz+d595H0vzJ56qUenQeeFeG0c0W6axGdSHmv/3fC1w4E+B1bo+n4vGvj5Mq2Gx+9zC7ntxIaUOe5lQ76a6KFVbaoLAhS7Y/TabHRkaKF//zYeaO1S7p6NyGSN2zk7jZpvX0i4STs6Bp5D7wOHq5iHzjOI2vfScJvQuR6BU1klSD8gP8U+OE03M0/+q5JCIThIk6dSwJzl4gbnYSHZ2Zeap/8BWk6+Ps2ITR30P7ey8TnJ0AIXB2bcHeumFdzytb0DAtQRwr2i1520yuP6i4mO28XVBrT+CYBdJOmVJ2I/r8C4S3WWe9ky6RK42RLYyiaQbtxtSqSI5SMZpmkMr0YNk5Os1Z2s3pdfkh3vYkR7ccjFQew0nTmTvfDXOtDpphoZRExVc84IWGblrEwe3rSCwVuB1J35DBtt02c5PhEpKj65Ar6jzwQ2mOvuZddc2cOeYTeJLeQYOHnsgwtMEklVm+MMO0BBu3W4S+Ym46QtMEliXY93iGZkPy8rMdTh5aW0W+psHYFot2U3Lsdf2q9/Ilje17HfJFHU1LgppCJKH+D3wiT7lPBwWT4yGGCbohsGxB+opz0Q0olHQ++ukCY1sspFTMToRoGuy81yEMFemcxqvPXSr27Bkw2HmPw32Ppsl3yd38TIRZFThpjTBQrOGyu2Wonmtx5plJ4kDSv7tEeXOO/HAGGUmUVGi6QHd0Yl9SOdNk4fQFzj47RWfBW5VfzZsN5froxRxaTxGlFMI0ka124u0lJfFCbYUNFcr1iF1vWROC+DKneBWEi91TMghBSoxyAen5SbrLNIjmbj6tO7zBYNtdNn2DOlt32QyOmggNfuSv52k1EhPD00d9Dr7s0W6u/jfRdXjiyQxRCOOnAs6evFTboxswutHkkfekeek7LhPjIYG/umMUShr79qcwLcHrL3nMTFxNjh9/fxonrTE/E/Hai8l3bNmC/iGD4Q0G/UMGqYxGHIPbllTnY157ycXrqKueU5qWLNY2brMY3WTgpJL7OgwUzYbkxac7dFpy0ctWN2D7bpuBYYNij46TEkQRdFqSqfMhx97wcS9blORLGk98JEM2p4O49LkXv3NF44mA93wkQ6Mu8V2Jpgu27rIwLYHvKirzMUdf91iYja86h1xBY2yzycgmk1KPjpSwMBszeS7kzIlgxd+g5c3ScEsUsxtIWQUK6WGUkvjh7RN1tewcTroH3bCI4/CaafKV4HsNMjLGtDNk80MIxLrUH739SY6dJl0exi7241amVk9yhMDKFonDgLBdu/wNdNPGzpXpLEys55DXFTKGymzMxJmAcr/Oph023/tme/EGc9IaPf06I5tMvvy5GrWFpQ+jv/xiA9MSjG4y2bTDYiUh2DhWBL7CbSsOvdyhMhujlKJ/yORv/h+9PPaBLPVKvGaSsxboOuRLOh/8ZJ5Xvtfhle91OPqai2VpDG80UQrqlaXXQzqjsXG7xcd+qsCLT3d47fkOZ4/72I7GT/xvJR5+IoPlaBx5xVsSzUllNe7bn6I6F/Pysx2mz4fEMWy5y2ZhNlr1JHEr4TcCzj47ReVsk23vG2FgT5lUycGwdYSA0I2on25Tv9Bi/mSd8RdmaM/e/krdwYVpUsUcxlA/eqmIcCz8E+cIJm5cn2c1iBdqRGmH9OaRRBzStojmq3hHV+/rcyUGRgwefiLFzr025T6DfDGZtD/w8SwX11pPfbXFmeMB7ebqGbRhCv7aT+bptBRPfbW1hOQYpmDbbouf/wdl6pV55tdw/WbzGh/6RI5iWcfrqKtIjq7Dx/56HssWvPaiu4TkbNlp8ch7UmzabpMvasRRslCbnYqozMecXWbCL/fqbN9r864PZdix2yKV0VAKAi8hFkde9fBdRRwrNA2Gxwze9aEMW3dZXTIlCH1o1GJefd7j3MkQt3Ppe83lNd7zZJaBEYNSj069Knn1efcqkiMEfPQncizMxDRqiXjlvv0Oqe5iZ2YiwjThu99oE15WM24YsG23xUPvSrPnfpvefhOpks8fPODh+4qzJ5bvYHODKo3OJPX2BXrz2+nLb0dKSU2OE8X+TbfyC11gZixQisiLEn2qVT7ODCuN5STKye3GFHG0+nnAa88ThRuwnDypbC8sawSxerztSc5FJGqlq/9SDDtDYWwPfnOB2mUkRzdtnGI/xU330qlMccuNdW4SLz7d5n0fz7Ntr41pQdC9xgbHTO5+KAUKDjzbYX7m6gdmGCg6bUkYqBUv7jiCmYmIz/6LpQakxy2fjdst3v+JPL2Db+7lZJiC/mEDyxYcecXlpafbzE4mD9vLU3KXY3ijyYc+mcfrSP77v1vg/Klgkdi5bcnf/kd97LrHYec9Dq+/eOkBZ1qCgRGTf/FL07Rbl66FlY7zViNoR8yfqFE72+iKcl29Ol5vCO3W3ibR7ALNb62/Ro1haaAUMlZLSH5cbya6RQdPrPsxj7zqM34qxLQE9zzo8PGfzqPpgt/5F/PMdxcQblvdtp2OE+cixk+H5IsaDz+R4rvfuLSw0jTIFnR277N55i/bHH390oQXBgrLSopU/+zzdSbPR5TKOnc/6PDhT+awHY1/+0/mmL6MNGkafPxn8jz+/gylHp3/8Z/qnD7qo5SiUNLZutumMhcTBAoEpHOC/+M3+xjbbHHoFZ8//W8Nzhz3yeY0Nu6wmZ+OqF2x+Jk4F/EPPjNFJif4m3+/zJZd9jXP//7HEhXsyfMhv/9vq/i+4oHHUjz0rhR/79d7ef0lj1olJo6T8fcPm/y//kkvUsLR1z0+93/XSKUFH/3xPD/04Qw777b51Z+fXvF4tfYFOn4VTTPoL+wmY/cx3zzFZOVV3KDOzRTppsoptjy5jdiPmHppktZUi2iVaWvdsDGMVHLdtmbXpOUTeA3iyEcIHdPKsliFfJN4R5Acoelk+jcy+sjH0AybsNNg/uhz+I15ytsfxCkOYjgZNN1g9uAz+I05lIyx873073kXdnGQOHBJ92+gNXWaoFUlP7KD7MBmrFwPo/s/QXvmHO7CBbxasmrs2/NurFwJ3XQQQmPm9afwmwvkhrdS3HwfXnUGK1skaFVwFyZpTq7/g/JyPP+tNvsey9A/aHL/4xme/1ZSjzC22WLPAykOPNuhXomJwvWd6ZRSzE5G6HqyStM0VowGrTd8T3HysMfkuYAf+RtF7n88zfPfavPdr7eoV+NlU0iFssH2vQ6HDri0m3LJWE8f82k1Ynr6DTZus5aQnE5L8spzLuHNfn+ahpHO0PveH8YZHEaYFnGnTe3A92gdO4gM1i8SlikY3PVYiSiUnHq5QXNh9aZ7N4rysM2jnxjga//x/DVb1m83CA3ufX8ZGStmz7lMHHtz7Bo8V+F7MUJAbSGZoDUN5mdjZiejxcLj26k25EocfsWj1KPx0A+lsR2B7yVEOp3VeOx9aXRDcPR1nyOvXbqmfU/x9NfbPPutNlEIUio0AdMTIYYpeP9fy2Jf0TF2/2Mp7n0ohduW/P5vV3nh6Q5xV/dJaPC9b3XwurWA5V6dex922LMvxX/6/yzw/Wddzp8OieMkvf3y8x4rNcgpBa2mSiJC17nPTUvwxvc9PvubC8zPRqBg6nzIxLmQX/mNPrbeZXHkdZ9mTWI7gk/9r3lMS/CVP2zw53/YxG0nUaCF2Zj3fDTDk5/Kc9/DDodf86+KYuVSA9hmHlNP0exMk7F7STs9bEr1Mdb7IF7QIIzdrtXDjT98D5//CkHUpjPf4egfHaawuUj/vkE2fTCN0ASTL0wwf3COOLh+JFHXTXTTASDwW2sqGwmDDrEMEZqGYadXvf1KeEeQHAAZBVTPvIFu2hipLIWNd1MfP4iRyhG2qzTOH8FI58mP7qRxQdJZmCRo12hOn0Yphd+s0Jw4Tug2kaFPZ2EiEQSTMdVTLxN2msR+B4SGnStjpDJ05i8QdRoYqSylLfcyf+wFdCuNmc5TPfky7dkzxIGXbHeLUZ2PmTwXkCto3P1QiheeapPKaAyMGvQPmfzFF2pJpOYmkM5o3LXPYcfdDrmiRiqt4aQ1RjaaFEr6OgUXl4dYZu9Kge8q/stvL7D3wRTDG0ze88M59j2W5sirHocOuJw67C9JO5kmFMo6O+9N8Uv/tG9JofRFvZJ2U5IvLa0LkrGiWb06z75a6Kk0uT33k960FSOdBU3HyOQoPfg4/uwUQWVuUZvlRpHrMZGxwm1G9G1IMX/ew0ppFPosTFtg2jpDW9NkiiHtWrhIduy0TrpgkO8xmTnj4rsxhqmRzhsUBy3mznn4neScnWyS6sr3WsSRpDEf4rWSB1mh36LQZzFz1l3MxRuWwE4l9Q2lIRu/E9OpR7RryQoxWzLJFA1SOYM4lNRmA9xmRLTCNWo6GgObUigFXjOiMuUnE2reIFM0sNM6c+MevhtjORqGpaGkwm3GZIoGKPDdmChQ5PssskUD09FRscK0NYSA8rCD0ASN+YDmQnjLg7cXC1wvN7uXUr1pi4SbxZnjAaObTB7/QIbte2xOHPLxXIWTEux71OH86ZC5qYhOa+kJhYEivGyhHwPtpmRuOiKT0TCMpff6lp0W6YzG1IWQgy8vTSMDhJct93N5jS07bOJYcewNn8kr6o2uu8i7wfu7Oh8zMxkxPxsRdW/XelWyMBujiSSNbprJeeiGYOdem9mpiNnJKKm56h5n4lzI3FSM1S0ZOHHY58p1zmBxL8XMKELo6JqBbWbRNBNNaGjCRLONxbbt1dSwaOKy6V9AZjBLuieF0AV+1cMpOQw9MkLtVIXWZOua+1JKoZRECA0h9DVmmsTic16o9ZtN3hEkRylF5HXozI0jdIN0zyg9Ox7CrU5hpfOEnQYyDlFRgJUtopkOKEnsu3i1WaxsGb8+R2f+ku5N0KokRc3pPO3Zc4vUX+gmVq4HM5XDr88j4wgZR1i5MppuJD8yArc6ReS2WE9Ng2sh8BUT50IGx0x23GMvpnJ6BwwME4684i2uftaCUm9S9PfYB7OkMxq6kagkm6bAtsVKPpXrAsMUi7ovV0JKeOnpDq26ZPtemx13O4xsMsnm0zip5JY59PJlKSWRWBKYJpR7jasiMxPnQuYmIypzS8O1SiaCiWspqLscmuWQ3rQNM19EaF0ipeukRjZgFstErQbxKklO/8YUMlbMnfe46/ESL/zpDKVBm/5NKUBQGrKJQkUqb6Ckw8GnK5iOTt8Gh9KAjdAEqZzBzJkOpqPTvymFpgnSOZOZsx06jYieEYd82UTTBQgoD0uOPV9DSbBTOpmCgZPWFiPMdlqnd9Sh0GehSB70bjPixEt1dFNjZEeGVN5I9jVk8cZTFfzOMtoYAixHY+u+PFZaR8XQrARUpn2cjM7Q9jTpXLKfbMnk9KsNsiWTdN4gjhVus0PvaPL9VKd9fC1m454suiEwLI18r4nbjMn3mphOQuQGNqY4+J0Kvrv62oQfJMzPRExdiHA7it332Zw/HRAGimxeY/tem4Pf96jMx1zpopHNaxR7dEo9OrYjMAxBT7/O8FjyrNI0camFW0DvQDJNNWuSyty1IwR2StAzoNNpKRbm4iVdmOuJRkPSqMWLBAcS8uZ7CaG7GNWGbrpqyGB2OmLzDmsJSdN1wcimpOi8Z8BI7q8rLrpsqp9SduOy4xBCYOgrq5RfCxcNaXVLJzucQzME7dkOkRviLrigFLkNBdrT19+/lDEyDpO0lZlKiM4qoRt2sp1SSLl+XZ7vCJKDkkReO2GTgYcMfQwni5UuYOd6cYoDOMUBAIJ2bfluqRUmaXHF7C2EhpnO4+T7MJwssd9ZjATJOHHmlVFI5L75le9nj/uMbDS5/7EC2bzGznscegcN6pWYo695XNk8thps32PzwR/Ns+/xDL/7W3OcOOQzPxPhu5IPfCLPT/9S+abHr7qh6ysJUyqtkcqszKICX/HaCy6vv+hi24JH3p/lJ36+xA99JEf/sLmE5ERhEpE5cyLgf/7XGvVKfNU8Fga3rhZCMwzsnr6lJ9mtJzMLJYL5GeL2tVdNV2LTPUnBn9Dg3Z8e4tB3Kgxty7BhT5aZ0x027MlSmfLoKdtsu7/AiZfqlIdtdjxUoNBvc+S7VX7orw9x4C/mMB2Nzffmeflr8+z/0X7e+HaF8UMtxnZl2PFIkcPfrZIrm2y6J8fpVxsEriT0JZaj88CTfTz/p7MgFZmiyca9Ofa+u8R3vzDNprtz2Cmd8UMtUjmDPe8uEbiScweb7PtgLwe/XVnWekLXBfkeiw/+3CjPfWkGGYGTSVaKfRsc9vxQGb8dM3WqwxM/NczcuEd52KY8bBP6kumTyflHgSQKJLanc/+H+zj7eoPAk9z7/h5e+NNZBremqUz41GcDfujTQ5w92CSaCa6btridsdLIk3vs5lclbkcxOxVy5njA/ftTPPOXbaIoISUbt1p8/rM1qvNLSYntJN1I9+9PcfdDDn0DBumshu0k3ZBXQgCptCAM1GJK6lrQdYGTErQa8pZ2PPoduaxcxiXtyUvnIgSkMho773bYscdedly+p0ilNZbz8JUyJIrXv/bvYtTHzFj03d3PwtF5GuMNIjdECIGSCmHohJ3rL7ri2CeKXAzDIZ3ppa6brDY5bqeT8g+pJGHQWbcFxjuC5AhNw8qWEJqGZjnoToqgVcFrzOJWp3CrM1RPvdz99NJvTsk4icBoV3wVi5Eb64qXY/zGHG51iurpV2lNn1l2v28FThz0KfcZfPSvF3joiQyPvi+DpgsOPNtZsuJYC4Y3WmzdbfPM15o89efNRU0YyxZs2mkt+4BaDZRKahP6R0zS2aX7GttiMbbl+qsJpcDzFE//eRPLFrznYzk27Vi6XW0h4uhrHtv22MxMRUyeC2+Hnw64GPJd/XZxpMiVLYa2ZnjtWwts2JvDSevUZpKUzmvfXODoszUK/RapnEGx32LX/hL12YBjz9eZPNlmYGua/k0pmgshz//JNGcPtugZtdENwfD2DFIqDj9T5ejzNYqDFqajM7wtw4UjLarTPqmcTnxFqin0Ja98Y4FjL9QQmqB3zKHYbyFjCDxJqxpSmwnwO5JOc/l6sVyPyeCWNEe/V+ONpyp47WSG0HTY80NlzrzSYOp0h1Y1pHfUYWRHGtNZwZtCJBElrxPRWAjxOzF+JyGzx1+oM3Wqw+w5ly335ckWTNx6ROd2EyRZDbqRkCv5TDqjkcmtj3/H/HTM9/6qzS/+Wg/lfp2+QYP7HnXotCQHvudSvUKx+VP/S4GHn0hTLOt8/j/UOPSKS70qKfXqPPqeNL/4j3uuOoVOS2KnBOns9cccRwq3LSn2JNHmW4XVaOkoBa1GzBvf93jh6Q6HX7m67k4pqFVjWo2rF1evnf1j1qvT6IqjAhB7EbXTVarHKyipcEoO6YEMlaMLTL1wY53FfqeK25zFSZXpHbmXhZkjeG51VUVlPYO7SWV6iSOfVv0C6/VgfkeQHBCgaQzc81500yEOPRaOv4g7P0GqOESqPEi654cBaM+dpzM3TtCqAgq/uYDQTfKju3AKfTQnj9OeHSd0W5heGzNTYOShj9GaOY1bmSZoLuAuTBIMbiU/dheFDbtRStGePUdr6tRb+i2EgWJ+OuLwyx4PvTvNrnsd3njJ5bXnV64J0rSkiC6d1TAsgWkLUhkNJy0IfbUYau60JK2GZMc9Nlt22jTrMdmCzrY9Nvc/nllRW+dGEcdw8IDLp+5zePiJDL6rOHM8YGjU4PEPZdm9L8WVNXVOWrDzHofNO21mJkJq8zGeKymUdR77QIZMRmP85NIq/6nxkG9+ucmDP5Thp36hzKEDLmdPBPiupNhrsGmHRX0h5rm/al9VS7AekFGINzOJWezhonCpUgoVRUkUp7O6KA5AqxKSL5v0b0zx2rcWePDJPubPu8xf8EgXEqFDeZn+jRCC0JdJ2s5Ofjc7pScdWFJhppKBWY5O5CcRECEMrFSS6tM1gWlpRP61heuUUkTdrq5LnxNUpjziQFLstxjamuarnx3Hay4fZpQSokhiZ67O8weuRDcFRrf2wU7rhL5CaCpJp3a9q5yMTqAndVWVKQ8Vw8CmFHPjLl///52nb4NDHCfdVUmxr+qa+tzYxKI5Key+wWS8nkvUbq3pd1xPKAX1WkIerrw3B8cMRjaY63Kc6kLMK8+7yBh27XXIFjS27LD4/rMuXkdeVde06x4bJeHF73T43rfaeJ1E2ybRzllmTApOHgm479EUfYM6O/ZaHD+4cudOsy45dTTkyR/X2HaXRacll+0ofTMRRYqjr/n0D5tEoWL8dHDVfaNUcn1emdq77BO3bHxG2qS8o4eFIwsoJOmBDAP7BqmdrCbt5DeATnOGRuUcpf5dWE6OwY2PYNoZKtOHr2vxYBgOQ5v3k8kPYhgObnue2tyJmy4NWNz/uuzlLUTsu7jVKaSKEwl33UCGHm51GhkFtOfOEbSr6GbSEhi0KsThJSYtw4Dm5HF0O40KA0K3lXy5MiJoVaideQ0VhwStGrK7nYwCWtOnMOwMmmGCUgStGkrGeNUpqm/JN9F9sFVjjrzq8v6PJxoV1bn4KgVkSMjNjrsd9jzgkCvo5Es6vQMG2ZzOBz6R5+6HUviu4qWn24yfChg/HXDgux0eeW+GD38qj+cmBZJCKJ7/VosPfTJ/U2OPI8Wh73vsfdAjl9d5/INZ9j6Y3PHNuuTMMR8nvfRhLUjC09v32GzbbRNFyZguErfjb3gcPLBU56LTkpw97vONLzfoGzK499GEDF7cTjMEJw/562qCdzmk59I+cRi7dxAjX0BoOtL3aJ85TlirIMPVt1425gPKQzY9oyaz51x6Rx3mL3jUZgLSBeNqIiIEUyc79I46bLonR7pgkC0ZnHujCUKwcU8Ww0oKl2vTPvX5gEK/Rf+mFNvbBVI5AzulUZ8PMFMa/YM2m+7Jky2b7Hi4wOTxDqbV/a2W+RrjSJIuGBT7baRMim2nTraJ4/iqSdFvRzTmAlL5bqdYIOnUI84danLhaIuhrWnSBZN2NSRTMKjP+uiWRu+IzeZ787TrET0jNpXJJKoVR4pcj4md1hG6QFw08bxIblYJzXKw+4co7ns0Ge/sFO75M7i3kORcvL41XaDrAsMSWDaEwSUyqaRi/FTAhi0Ztuyy2H2fzdx0RKGkc9/DKbbtttalcysMFNX5mPOnQzZsNekfMij36Xztiy2WKy2TEgwTMt0UlWFolPsNdt/nsHXX8tHaE4cDpi9EDI0ZfOgTOYRIuidRSfqr3Kdz/FAi7teoS04c8qnOxzz2vgyptMaxN3zq1RjTEhTLOr6vmDgbXpX+0rTEAFXv1gDqRrL/MLi5YvAohOef7vBjnymyY2/S7n7uVKIFZKc08gWNXEHjlRc8iFeW8bgVcMopiluK9OzqoTM3ipIKK2+jpFrV/eC7ddqNKbxOBSddJl/eiKbpmFaGdmMqaQ+Pg8T7DYWmW5hWBjtVIJ0boGdwD4aZIo59vM4Czep57kRyuogDF7fi4lYml33fXZjAvZaYn5I0zh9Z9q2wXady4qVl32vPnF3+eJUp3Mr6eG6sBc16zOGXPd79ZI6zJwLOnvCXXckIDUa3mDz6/izl3mTl3u6GSrfvsdm+xyYIFBNnAybPh4yfDIgjRd+Qwda7HBBQnY84ccjnr77cYGyLdVVoejWQEk4e9nn26y32PpRmy06L4U0mE2dDnv5qk+Pdh0+7GS8+cOI4ST+FIQyOGmRyiTx+sy45cdDj5e92OPzy0lx2FEFlLubLn6vxwR/Ns3W3zcgmG9MSNCrJw6e2sLTLp7YQc+FskAgL3uR9F/serVNHsQdHsPsGEbpB1G5Sf+UFomaDayzlVkRtxmehO3G3KiFeO6ZZCanPBd2iY5mIOXqSZiUk9CUTx9rkyiYDm9M4GT2pXzndIV0wF0mOkopmJaAxHySFvWWToe1pVAydZkRzISRbNukZdugZtnGbEcPbM9RnA5RSdBpRNzqUkJV2NSQKk9SaZmhJQbIp2HxvnvFDLaLQJ/SWziZ+R1Kb8fHaMaO7MgBUJn3Gj7QYP9RieEeG3lGbQq9J4MZUp30QYKc0siWDsbsy3f3EyFiR70kcyxWQyupsuifH+cMtvHZM6EukVDQXwsW/Xw96JoszNErhngcBaJ86StSs4144u+rf8XpIZwXZvE6hmHQ15goa6Yygt19nxx4bz1VUF5KURxQm3UWPPJFm41aLxz+Y4czxgN5+g627LIo9Omvg01dBqaQd/tCrHmObTIbGkmjFwZc94mWkBC6cDckVErHOex9K4fuSoTGTDVutRRXjK3H+dMCR13xyBY1HnkjTakpmuu7rqbRgeIPJ5PmIwE86uc4cDzh4wGP7HgvbSYjNzFSEbQsGhg3mpiMWZqNFkmM7gkxOo9yrJ+KpfTqZrEaxnAgQ+h1Fox7TrMW4a7CtCQPFS991efeHs4xuNnnCyfDGgUREMZ1NxFoLJZ3Dr/qEwa3Xs7ocVs4i1ZvGyln07OpBSUXQDGhONFCrkIKIwg6d1iz1+VNYI1mcdAnTypDJD7Iwc4ROc4Yo6CQFxUphWGmcTA/Z/BDZ4hhOuoxSErc9T7N2Hrc9d/2D3iCEWq+Y0JuIRqNBoVB4q4dxB3fwtocQCdG4snXbsC69liub7Hl3Cb8jOf1qorezVi0cTYcP/a0xzh1sMnPGpV2L2P+jA1SmPC4caVOZWlknyLBEIth3BQ+8GIG78hyElrwXd5u2Ujmd9/7MCMeeryWdZLbOPe8rszDhc/qVBp3G6ivzM1t3kdt1D8X7k0hO+9RR6q9/n8bBl6+z5SU8+HiKn/o7RTQd/uU/mGV2cnmi+8STGd7zZIb3/nB2xX39yecaPPXnLd44kJD7H/nrOR5+d5rd+xzyRY0zJ0K++kcNpFT82GcK/PfP1nnuqTbN+tpDFboOD74rxd/79T7yRY0jr/v8g59dfqHXP2Tw7o9keN8PZ9myy0o84173efV5l1eec/l3Xxjh539kglNH/SWTve0Itt1l8aEfzbH/fUlNTxyrJMp7POBf/+N5qvOX2rnTGcEnP1PgvkdTbNlhUShrtJuSiXMRL3y7wx9/rk6re85773d490cy/MTPrTynPPOXbf7ySy2++802/+o/DxJHcOB7Ll/8/friZyxbsPs+m//rvw3zf/7jeV54ur1kgTkwYvDY+9Psf1+au+5xcFKCRi1m6kLE4Vd9/p//q7KoNfRmwkgZ5DcUqJ6o3Jyti9AwzRS7H/4M6dwgupFkT65V5H45/fA6FS6cepr5ideJwhuTXanX6+Tz184i3CE5d3AHd3BNZEsGux4rEXRJTqu69ip2IWD7wwW2PVBIamg8STpv8M3fu0B9/tZ2Mxl20oq++/ESUqpEI8fR+dp/HMdtRmtKSZQe/iHye+8nNZK0+K6F5OgG2N3CfXcZ36bF8ZtJOuViDdJyCAJFFFyq7TAtMIwk/SJEYgMTBApQWLZG4EnCiJuOUOpG4iOXHEPRWaF1W4juOVhJqvliLUoUJanEdFa7SqRz8Rh6kqYzzEuSFUolljPL+V1ZtsDoSl1cbEmXUhGF3e9AXdqvYS7f3XURUagIw2Tbi52e8cX9XPE9pDManquIwqVjEiI5jmEm5375mOKIq/R/3iyYGZOeXb2MvnvDokRE2Ap45bM3fg0v2Z+dpX9kH6X+HeTLm9B0a0Wio6Qkilzmpw4xefoZfLe2KkuIGyE5b/t01R3cwR3cWnitmFMH6sgYvNbN6VcoBRPH2zQXQnRDoGQS3WlWwpvScboRxKFk4liLdi3pqFMkE4/bitdWcyE0zEIpKSK/mXFF0LmBc4/Ci2J2N/49hQFdEdCrtwmD9SusjyNuSHZBqYQYBAHLjulaEaU4hthVcIMpo8BXXWG9a38+jhOidKMk41raO3G08jkodbkQ4u0TWzDTJr17+xh/6iwySMQ/b7TgeDmEfpuF6UM06xewU0VSmT7sVAFdtxCajkAQxz6B3yb0GvhulU5rHq9TQd6MzskKuENy7uAO7uCaiEJFdXodCji6aFcj2tX1f5hdD0pCqxrRWqdj6+kMeiaHnkqty/7u4A5uBKaeQtcsNO2i+Oza0PYXEpViQ8PO27Rn2oTtABWvruj4aii8TgWvU0XTDZxMD7ZTQNfthOQIiKKA0G8R+k0Cr7Gu4n9X4g7JuYM7uIM7WAPs3n6MdOaScvUd3MEthEDD0C3yqSFSdgnbzKJrF1NBq6c6p6e/Qxi7qEjiVT0Km4oEDZ84jFGRpHa6dpMjVsg4pNOYptNY2Xz0VuMOybmDO7iDO1gDnNFN6Nmbk064gzu4ERi6Q84ZYPfYx0hZhTXZJlyJ8bkXCGOXOIhpz7QobioucqXIjdaB5NweuENybhMIy8Yq9uAMj2IWyxjZAnomi247aJYNKJSUqDBC+h5hs0bUrBPWKnQunCWqr05d8magZ3PYPX2YpT6snn7MYgnNstFMC2GaCE1DRhEqDJG+R9xpETbrBAuzhNUFwnp11dYFNw6Bkcth9w9j9fQl32WuiGbbaJaNMIzEeDUMUWFA7LnEbpuo2cCfmyZYmCNqNZDum+NGfTvByBexevpxBkewB4YwcoXkN9V1lJTd37JN1KwTVObpjJ8mWJjjVunnG8UyVrEHq6cPq9SDUehBty9dZ6CS3zEKkb5PWK8SVOYSo9PqPHHr1lmrCNMkNbIRI7Nyp9NbDk3D7h3E6hvA7h3A6ulDS6XRLRs0DRXHyE6HqNUgqM7jz03jTY4Td9pv9cjv4DJowqQnu5nNA+9aJDhrseWQShLFLl7QoO3NEcskBR00Ayaeu4CmX2rhf/u1I62MdwTJEaZFfs8+jFzhkrgXIH2fxqFXiJr1a2y9ymPpOlbvANltdyGMpV9f+/QJgsrsjU3gQqDZDs5gl9Tki5j5ImaxhJ7KoNlO8scwu8dJZGNVHKOiCMvtEPsucadDamwT3swU3uQ4YXUB6a+/z4mwLIxMntTIBpyhUYxsHj2Txcjk0NMZhG4kBELTEx0SGS+OVQY+0usQtTckk2S7RVhdoHXyCHG7iYpuPh+rOSnMQgm7fzghirlCUi+RzqA7KYRhJmPUNaA7vihKJsjAR/oezvAYcbtF1GoS1iu0Txwh6rS44apUTcfI5ijc81D3OKtD5cVn1p9caRo9j71/cTxKKqJGleaR15GBn1yHlk1m6y6cwRHMUg9mvoSRL6DbTnLtCS1RLe3+lrHnYQ82cYZG8SbP406OJ+7pwc3V7QjTRE9nsXsHsPsGMQoljEwOI5NNCH8qk1xjuoHQdaB7P1y8J3oHcIZGCDdsJqrX8OdnaZ8+StzprImICcNAs2z0VLpbe5NcS5qTwshksPuH0GxnyTZmqZfcXfdg9fSt6lhBZR5/bgZ/+sKqx3klNMvGLPWQ2bIDq9yHkS9iZPMYmSzCtLpEX+sumhKibw8MkRrZSLBpK51zp/FnJolbTdStNIC6gxtCxukhnx4i4/QihE4sfTp+BTeoE8YuUkb05Xdgmzki6TNTO4xAoGkGhp4ibZfI2L2EUYdGZ5K5xnHcoE4UJ/er4RiUtpWxC4lZLwrCTsjUi8trz73d8I4gOZppkdu5h/TmnWhmIg2ulCLutPGmJ4jd9rpMpADCMElv2kb58fejdx9wSqnE1bzTJmo3r0tyhGGip9LYA8Pkdt6NMzyGWSyjO9cvYBS6AZaNns4svqaUwp+donkkR+fcSfzpiWQCWyfo6SxmqQdncIT8nn2kRjd1J5lrjFPTkp5XG8hkgUsdKDKKCGsLeNMXkJ5707+Nns1j9w2SGtlAZttdyfius9JZHB+XvnNnaAxIBPuChTm8iXPJtXOD4xC6jpkv0vOu96OZq3cGrr9xYN1JjtD0JeNRcYQ3NUH79HFkFKI7qUXFXmdoFD2VXn4/aKAbaLaDkStg9w3Apm14w2PoR7K0Tx/Dn5lCrdEkTUulk6hN/yCZzTvIbN6Onkon1/t1zo+uG4CRzQGJEW/sewTzM6gwwJ04R9xuoVbRuaGnMxiFMma+gJkvYfb0YhZKGNkCRi6PmbuYplp6nVnlXqxyL7ld99zwsQBaJ4/QPPr6TZIcgZ7OYJV7SW/aRvHBdyU1Qyvcq0LXwTSTZ0m5t6v0HmPmS7RsB2/qPGGtglqDQOXbCcIw0U0H3U7h1+fWN4whNDTDxMqVCdt1ZOivmjjmUv1knX40YaCQNN1pKq1z1DsTeEGDWAZknD4sI0MUeZybewFNaOiajWPmKWRG0YsmUoa4QY1qe5y2N7+4f93WyW/IkxnMoukauqkRh/IOybmdIMOAxtE3SI1tQXXTEUIIjEwWZ3AkCcfOz6zLsRJCtRftiodv7HZwJ88TVudX2PIS7L4Bcrvuoefx9ycvLDchq2sbC1w+iQshcAaGsfsG8SZ3Mf/MN2ifXF7FebUQmkZh3yPkduwlNbrxOp++UhdieaIhdA0jVyBqNtZkY7B0XzrlR58gt+turFLvuoxPM02MTJawXuvKkL+DoOnY/YMIw8BIZ0lt2MzAhz+Jnskufh/X6qy48jtzBkawSr1kNu9g9ht/hje1NmO93K57KNzzIOmxzSt7Rl3jnrhyXLrt4AxvYPhH/wZz3/4L2ieP4M/euBJ54d6Hye+9H2dw5Ia3eauhmSaF+x4md9c9pIY3LHnvet0yF5+Z6Ab5PftIb9pO58xx5p7+GmHl+s+0tzNS5WEKG3ZT2raP41/6t0S+y3q1eOt2ikzfGFue/HnOf+ePaE6cIGhWVrWPjN1H2i4DiiDscOT8XySdUZeZ+cXSRyFRKDr+wuLrdWCmfoS2P8vGvkcZKO7GsfK8duYLi9Y1XtXj5J+dSDbQBD07exi8fyjh7++AtNU7guSoMKR19A163/WBpH7lspVLevP2dSM5mmVhFsukxjbB5YVfUtI88jpxu3lDq4CwWe9OBteBjIiaLeLAA6kQuo6eSqFncst/XgjswVEGnvwxLnz+P3VXYWuMkmgaeirNwEd/nPTY5hVX+FdDgVSJ1OwKkL5P68RhYrdz46mgK6HrWOU++t77UTKbtyOMGzUcvP74okad1qmjtyTtdztAmBZ2/xDpjVvJ7tiLflVdieoaTbZRcYQQAi2VxlihyFaYFs7QKIMf+wnO//f/mPyu1zHluxLe5DiZrTtX/oBKtF6k6xL7LjJIjJr0VArNTq0cBdU0eh5/H2ahxML3niKq3+AE0027vj0gEJbF4Md+gtToJozcCkKpShI26qjAByURhpX4pxkGV0ak9HSG7I492APDTPzx5wirC2t/lrydcPF3v42KUhwrj2VmiWXERPVV/Ki1hOAASBknNinaclO6YrLyBhm7l978doqZDQyV7mGmfoRYBmimRqonje7oaLqgsLlAdiyH0MSqrB0uQtNtsoVhnFQJ08mi69aq7yWlJOdPPLXq58hyeEeQHFDIwMedGEfoBmahtPiOMzCMN3UeYRg3nRYx8iVSY5uvahlVStI+dZTYc1fYcimk28FfmMWbncTuHUToOjIIiBo13OkLhN3i16jTRgYexImpGUJD6DpGoUh6bAvO0Ch278DiBZSsxHSMTJbcnvuovfw8cauxpnM1iz0U7r6f9Ngm9FQqSe9cfg5hQNRs4E1PEMxNETYbyMBPvmOVGKVqqTRGKo2Ry2P1DWH39qM5qUWSczNh8NTIRnK77k5SU+bVipoy8JMi1LkZwoU5gkYVFXQN4pRCGEaSkkhnk/RDuQ9nYBjNsgmbddqnj696TCqKCBbmmP7qH19WT2UmRc+mlfxxUth9A5il3jUVD94sLh6z9PC7MXJJ6qUbv8GdPI8/M4k/M0lQXej+lgpEkiY18gVSI5twhkZxBoYv7jDZp2FiFnvI7dhD8+ThVRf9htUFgrlpgoERrHISkQsbtcVi4mBuhrBRu3SNdY3+hK6j2SmMXIH05m1kNu9ITHMvjouuiebgCLkde6i+9MyNjacyh3vuVFLQv+wXCamxLUkx+2X3RtRuETVqq64D9KbOE650rOtAS6Uo3f8YqdHNSURuyXia+DOTuBPj+LNTyTNKxsnvqmlolp0Umw+PkRoewyyUk9NLpIkxCyXKj72XhWe+QVir3FaT/3rBr89SOenSmjpFHLjrMrGuJzRhJqkqFeH61cSM+gpIFaNUjBAamjCQaulcp1RMozNFyiqRyhcpZzcx1zxBLAN02yC/MU+qlFqM3ky9OLlqiwfdsEnnBxnetB/bKaIbdpLxWIOWj5QxF058e10CSe8QkgMohTdxDqvct4Tk6OlskksvlAgXbs70y8gVcIY3cPmqR8UxcaeDPzuFusHUi4pj4naTzrlTgIb0XaJGnaAyhzczQViZJ2o1ib3lIx16OkPcahK1W6gwxBke7b5zKeSc2byD5uHXbji6tGT/2RzO0CiZ7bvR09klk7FSirA6TzA/gz8/gzc1kUxArQYq8LvERYGmozsOeiqDkc1hzc0Q9A5g5PLIKMSbOr/mh4lRSMhmZvOOq7pblJRJEefMBP7sVEJyKnPJBBmGlwpQNb1LcpLxmeU+woVZjFwBf34Gf/oapq4rQUlit0Pr+CE0MyE4wjCTzjPLQjNMjGwBoWmYxfLSaOCbjNTIhoSsaxpKxnTGT9M5exJv6gL+3BRR4+pJWk+liRqN5JqSEntodPFOEJqGZlmkt+xMamBWSXJk4OPPTuNeOIuSkrC2QLAwl/y/ukAwP0vUrCfRhCuu54SwZondNkI3cAaGu/U5YnFsZqFEasMWqgeevaHoYTA/g4rCa0Yw7b6h5De+jFTErSbe5PiqDTrDZp2wtnqSo9kOdk8/2Z17MLK5xfobpRRRs07nzHHcC+eS4vC5maujMUJglmaSjsdWk+z23Rj5IkLTEEID0yKzeQftk0dRUbSuTRy3C2I/iQ76tdm3eijL4mIqUaokLbVcDkmqKCE5aBi6TRDFV33ODWr4YRMhNLKpPrTLnj9CE+RG8whN0Jnv0LzQXFWqSmgGdqpI79DdlAd2oxtWUtx+2b16vUWdlBFx6BFFPnF0YwGDG8E7h+QAnXOnSW3cijM0uvjgEbqOWSiTHtlI/WZIjhDJg3JkaV2KDHyC+WnCem1Vk7YMfJqHXiPudPAmx/FmJm846hJ32rSOH8KfmyaszNLf/6NJx8nijCOSsHUmm6SsVlkMmhreSHbbXaS6hbgXoZREhSHNowdpHn41IXYrhbBlTNxpE3faBAuzCaETgv8/e/8dZFmW5/dhn3Ouff699JlVWb6qq9qbmdnu8QBm1gEgFosFCCwIkRAoUhIpUaIiGKGQRIb0BxVBigJCIVGgCIAg6IDlYrFYEOtmd3Znx3WPad9VXd6kN8+76845+uO+dJVZVZlZmVXV3fWtKPfy3XvPvfeY7/mZ788plpGZ7EP5+dPA1HN4Y5Nb26cVKghoX3yPxrtvplW97xXkpxWq00J1Wmmsxo0rIATu8Fhq1m9Udz7ugUhdPfoeVj27UMIZGiF36tw+z38w2ByInHTarP7J7xMuzd/XRaf6PbrXLxFVl4gaVcZ//i+BtSmdVQhyp87SePuHUF3esysyWJhFJwlRo0brg5+StBq76rsmSUhajfSYTouhL3yF3OnzW4KW7XwRf/Io0vXQQcCDZvBwZZFw5f4CZpUvfHWbqy/pNOndubGn2lUPA6ecZlFtnpeMMZgkoXfzCqvf/YO0L99ro2NMugmordC7fQMhJcUXXoOBdVQMxmzh/AuYOKLzhJIc6fqgdZoxZnQqMyAG5NMYtE629SXp+IN1Ym3iNKjwAYH/g0BiIeQmF8xA3mOQUboXdiDttNSBwaRW+51gzKb3t7Pwn9IxSifYlodn54lVgLnL4hOrPokKEAh8t5QmE5CWcOhX+zhZB+lKVKxwCntLnHDcHIXyNFMnv4gQVvq8dYQxCmM0jptL+6VWKLVmDBCpYrOUSOmgkphue4lua4FeazHN6DwAfKpITrg8T7S8SDJ1bIs1xx0aJX/uOZrv/2Tf53ZHJ1LtkOJWf3fSadH66J09W0tMktCfvUl/9ua+2xTXq7TjiMz0KQrPvrQ1LkUI3LFJ4naLuLZ7ciccl8L5F3bMDlHdDtXvf5vG2z/Yn+vPmNQkv0+z/Fr7yq++jrfmLtmEcHmR+k9/QPPtH+7v5MYcWID6JwVRvcryt36L/szNXffhuFGj/fEH5M88S+70M4hNmWTSz+IOjRLVVklae3vPcaNK3KjSvfrRno7bjN7NqzjFCtgO+VNbY3yk4+JPHaN/+/qnI75EWmSPn6byha9s+ViHAeHyAou//et7Gqeq02Tp934Tb/wI7uj4evYoQP7sc8T1Kr3b1w80c/NgIDj98/8m/eo8vZUZwtYqk5//RTJDEwgpSXpt6jffY/Gn31p/79LxOPmz/wa58eNIe9B/jeb9f/h/Rsc735+wHPzyKOMvf4PM8BR2Jo+0bOKgS786R/PWB7RnrxB3d0cE7UyeqS/8WbKj0yRBl1t/8N+QhN1t4zBWIYmOkMIa6ORsjyeMkh6x6uPYGfKZMXpRHXUXyRGsETOBLf31zYlf9jn5zVO881+8jYoSRp4dZeqNoyy8Obdrl1Wxcoyh8fMIYWGMYvHOj2gsX6Fdv0Mcdfncn/4PEELSWL3Gtfd/AyEtHDdHJj9GafgEUye/hBDQrt9mefYdeu2Dm4c/VSQHIFiaw71zE+eFTS6rXA5vfAqnVCFuNfblV84eO5Wap8VWV1XSbtG9fpnHFYauw5D2pffIn3tukBK9YRa080UsP8Ne7DiFc8/hDo8OxNY2ENWr9G5fo/n+jw8sHX+vEJZF8cKL2PnittTiYGmOzpXUwvQUu0NUW6V361pqZdsrSY9jWh+9S2b65LpVaK3fpVo7pT2TnINCsDCDXShuITlCCJAStzyUErpPQVZ0dvoE/sQRpLc16Dqur1J784/3FfNmVELz/R9TfvV1rImj658Lx8EbmyR36hnaH7//0G0/DHilUdzCEFJKOnNXaFx7ZyBmaRN3G1v6uE4iZr/769jZArmJkxSOnKUwdfbeJxcCrzTCsa/9VZKwR+PGu8S9JgZwsyX8ygQYkyaJPAhCYmdyHPvKX8byc7Tnr1G9+MMdCQ5AmLSIkg4Zt0IhM7HFzbT+nbhFFHfI+2OMlc5Rbd9YF/tbg+8W8ew0aUWbZGPFGixpmWGfuBfj5B0sz9pT/SovUyZTGAMMK3PvsTzzNr32Elqlq48xCWJQu8oYjVGaKGgRRz26rQVa1ducfvEvMDr1Eq5f4saH/4IkPhg5jU8dyYmqywRLsxSee3k9+FDINDjRP3I8jWPZq5aHlINU2a3VhlPl1+VUMO4xwagkdbesBRNuImGpwu9us45SZI+fSUnEZv+pMUQri3SuXrynG+aRQFrkTj2D9DZ2IWuTQv/OTXq3rj/e9n3CENVWCObv7DqWbDOMVoTL8zsupFYmu00k71EiaTeJ67WB+1hsCcyXXuYTlDV1f/hHjqUbks0xQUGfqF4lmJ/Zd5Bwf/YW+XPPYYxZH2dCCOxCCXdsAp5QkuMWKsSdBu3Zy7Tnr6GiIC0IaVmpAvtm94cxhO0qcb+F7efIDE3e+8SAtBxsP4dXHqXz8Vt0Fm4QdWoYA7aXoVedI2yu3NdCaLROY1eKw1TOvIqdydOevUJ7/jpha/We76sfNQmiFllvhLw/jiVdoMfmjXU/rBPELaSQFDJTDOVP0ujNEkRNwOA5BSq5Y+QzYxgMYdxZfx5xJ2L5vSWGz4+k+S22oHppdU/7dtvxcdwcGEO7focoaKLVxryitcJCIDcl7aRkJ0KrmHZjhubqDYrDJ8kVJymPnGZ14UMOwnjwqSM5cbNBuLqECoMtaaXCtsmeOEP3xuU9kxwrk8UdHt2WQhvVVgiXFuBximXpQVqoSrZMSkDqO36AaN8WSIk/Nb1FaBAGQaEri/Tv3DioVu8Lwrbxj55YF3yEdAjoMCBeWMSs1PGtPNpoBILExBijcCw//b+O0iwEDK6VAQTGKJRJUCbtE470kSIdFkpHqXqz0YPjNK7MkpgIAdjSQyBQ65kMhlhHgMGWHhhDYg6uevdBwhidkpz9BFhD2u+adYzeod+57jZL4KOECvokvU6aSSetjQgGIdK28SmQ/xACf/zIejbUGpJOm7hefagA4ai6guqlAqqb36OVy+MO7U3J+VHCcn36YY/atXdSy82DYAw6jlBxhH6QdXoQO4JJM3l1EqGiABWFRK1VWJl58OUwOLkSbr5C+eSL9FZu07j1IUFt4b4Cgf2BurFAkPWGcO0cUdJB6Y11rB816Ed1tE7IuGVGS89gSYdOsIw2irw/RiV/gpw3nGYDh9V0bsy7WK7F8vvLHP/6cSzfJmwEdOb2lpUrLRfb9jBAv7OCSrbOe1oPMr/kTvOCIYl7NFau4ueGyebHKI+epbr40UNWQ0/xqSM5Jo5Img2CmZvkzl5gzRYnHYf8mQus/snvA3vY7QuxYd3YVMbBGEOwMLfnLIpDgVaoMERm9JZdXSqBv8vyAkJg+bn1OlSbESwvpMTxMda0EZaNlcnhlIe2RekH83fI9VxK9kk8L0Ogulg4NKIF+kmLI7lnkUJSC+foxg2Ujjiafx5L2ASqQyeqUgtnEQhGMifIO0MIBPVgHkum3+knLULVZSp/nmp/BiksRjLHsYVDK1pBCIk2itXgNokOGfaPoU3CSn//MVeHCZMkxLUq4fL+qwObOMLEcRpgvIlMSyfNJHtsMGa9npW8KzsqLVPxybfkSMfFHRrBzm8NfI5qK4SrD5clZJKYpNNC9TrITbGNdi6fBuYL+cSlWQPEvRZhq7o7grNH6Dggatfprc4y+sJXyAxP0Vm4QXv+Gv3q7K6sZlI6VE6/TG7yJFGrxtwPfwsV7ZwttRmt/hI5fzQNqBaScu4IiQrohhvJG0HcotNfoR0sU8oeYaL8LBPlC2mwLwopHIQQadadDlltXUOZhMlXxsmN5bj8Tz/m6m+lshnl0xXGXhyndnn3yRdCSoS0MUYTx71tQc8qCRFCYtnePXWIWvU7DE08S6EyTWFoaxbzw+BTR3Ig3c00P3qb3OnzsDb3ColdLJOdPkF/5ibJLlNchZQUn3tlWxmFpNUgWJwjXHkyAlXNenr0plcq1v94IITjkDl6LBXDugv92duPXfXUymTJTE3v+LPurWuUg3QAL/auUXTHcCyfkjtO1i4T6i79pE3FmyLnVFjqXSdrl7jWeJNAddaVPyv+UcBQDe5QDxYAzVTuAo70CUn9w1mrREsuI4WNa2W5XPsTDAbPypG1S0xkz9KKlpFYJOZJC9DcQFyvonqdh16sdBxjtNpqMbSsHfvRI8Vgl343yfk0EJxU9PMIwvW4e3zHjdquVNcfhLUSNZsTOJAWludjF0sku4xtdMpZhCVJuiE62F/Jj90iFYk8PHd12Frl5u/9AypnXqMwfZ6R595g4rVvEtQWWfnou3SXbt9XzXji1W+k8WtCDurGWbtSFU5Un0Z3hhvL36PbX6Havk6it1uIG705ri18m5dP/pWBS2sQrsHGRjdKOjS6s8zX3sVYemCp3noey7Vwiy7C2r0YoFYKrWKEtLFtf1twdBL30EZh2S5+pkLQ2/6c4qiHVnE6t3qlA1Nc/lSSHB32CWZvo4JeWv9GWussNnv8DHGzvjuSIyVWJoc/NY10t6bU9W5fTwMrn8AdzX4gpI07NLqjlkHcqJE85srEwvVwysM7/iyurqCiLKBROll3H0lhYwlNrPtoE9MIF0gGOhOxDlEm2aIcagsXbRSJjjGbIlPFpsliLXVUo0h0iB58L1I9LGEzmj2JJWza0Sq9pHFYj+OhkQzEGx8en3jHzycPQqRjdSB6uBk66KP6Dz9WTRJvSzBIg7cFluex29QD/+gQMuPRv7NKFDyZ6ee7hjGoKKR5+yN6K3dwciW80ijF6WcYff4rOLkSjRvv35Po9FZnCOpLgGDo3OcZfeEr1K78JHV3PQC9sMZC7X2UjgYEZ/u4Uyqk3V/i0uzvMl66QNZPXVtSWERJl3Z/mVZvjlrnZioWqMByJJnhDKMvjNFZaOOVfUony3hlf09igCoJiKMurl/Cz1bodZZRycb8EvabqDjEsn0KlWMEvfq2e7BdHyFTS6u8jyL9XvGpJDlGqUEph2W8iSNY3sau0p+cTtVsxYNNjNJxcUfG0uq9azvTtUDX2Vu7tgbtBcJxsLwMwh0o5Doewk53xqlJ0AI5EP0bLLhCynTH+hC7ZyFlaq3ageSobhsdbt4hCeSAqe+kvnkYWFMo3g5D3GliEhtBKv2fBtSlZtlIB3gygzIJke4R63TgpURo6/uPdI+sXSZrlzBGEeuAxETY0qPojmLLTUTXmC0pmhpFYtKYH98uUg/midSTGwStwv6D4xCeBMhUl0T6mbQq+iBbRlhpQOnaeEDI9UVYCDnIENx7kdRPBkQq/LfDQuCNjpM/8yzJ5LEdjts9/MntsXnppdOq9bstfWDlfNyRAsISuJUcUbWD6oVgDN5UBYQgrnUwSmMXMlgZBx2m/dIkmmCuhrAk7lgRK+eBgXCpmZ5jj4q8BwND3G0QdxvI+hJBYwkwjL30p8gMTdFbmbknyQnqi7TnrmG0IjM8SfHoecJWFbQm6ty/3IjSEf3o/vF9Bk2s+qy2rqUbeq+MY2eRQhIlfbrBKp1ghW6wvHYAvaUuTtYhN57DyTvYXkoJmjfqe9q/JFGPKOzg+WUy+VGs6s0tWb1Br0aSBPiZCuWR09SXr5Ak/S19KFecxPVyYDT6ACUePpUkB9JI9t6tq2l1702ZHmkqeTkVBXtAbSIrkyV7/Mw6mYDBe0+SAcnZX8mEuyEsCywLadnYxfJAtbmcyu4Xy0g/k6rmOm4qHuXY6xO8sKxBnIF8uDIBQqQZMTucI+l3t+z6pZDY0scYgzYHWzX7ns2TEuntsGiZVL8nUTmkEWjSIGGlY3pJnUB1KebOp2JbRpGICKMNysTcXe6xHVUpumNk7AK+nacTVQmSDiVvnLwzSSYpEZtoXTJ9LVh5DdooekmTgjOCRq1beZ5EmM3qz08gxCBoXnoZ7HwBb2Qcd3gEK1ccZG956bjYQnrsQRzapg3BpxBCpErHO5GcwoWXKFx46RCvLbbF7D0Idt7HHS0iLUnnygLBYgOTKCpvnAUDnSsLmESRPT6KU84Rt3sIS6K6IcFcDSvvU3h+Gn+qglGa5ts36V1fWidDD3lDgw3j4L9S7kzgBlm6wrLTjEKTiv9F7TrVyz9m+PzrWF4GJ3uPumFA1K4TtWskQZeVD77LsT/1q5SPP4cA6tdbB6bdFKsei40PdvXd1YurtBc6TL46yfC5YYJmSPNWI82u2gOisE3Qq1EoHyVfOoJlb82u7LeXiMMO+dIUQ+PPsjT7NkGnui4MKKTF0PgF/NwwWivCoHVgRuJPLclBa5ofvUPu3HPrfuW0xo6NNzlNprZK9/rH9z2FlS9QuPDiloXfJDG929fTCtV7TUXfAcL1yJ04S/b4abLHz+BNbBe5exQQQgzI4HaSY6IIk2wsiBIbR/ppkJl+VCTHSlVNd4AOQ+Z7l1gbFd14666oFS0jEFtIzY3mj7adR5mIO+331q64fr5mtBZ3tXXUNcLtVa2NVqwGtwjVo3ku+4WOo4eqHXZoGJDt8ss/Q/bkWbzRCexi+XG36gnDWir8wZn093Lt1GK8+w1V3OwRXpqj8/E8U3/1DfLPHiFabrHyrQ+IVzuM/fyLZE+Po6OE1W99SObEKO5wHummy9PQl84hLEkwV0N1Qsb/wueY+XvfJlp5CEu6EEjHw3J87GwBazC3eIVh4n4bncToJFonHl5xmOzYcUonXqAzf5W428LoBGm7FI8/h53J05q9TK/64GxFHYe0566y+OPfZvSFrzF84XWMVtSvPRqV7M0w2hBU+9z81sNlzvbaS7RrtxmdeonyyBn8bIV+d3U9jbxZvUV59CzFyjEcL8/zP/O36DTniMK07FC2MEEmP4IQkiho0li5sm0Tul98ekkOENdrhEsL2LkCzmCiFELgTxwhaTXuS3LsQjHdPQ6KBa5BRxHtS+8/NMERjkv+zAUqn/tymtE0MMWvtfGRQwiE520x5JiBnLjRaj32SCCZLJxPLSVxg15SxxIOU4ULOFYWpSNWe7cJVZuRzEmybgVjNCu96/TiBr5dwLeLdOMaYdJhOHMcgaQZLnCk8BxCWHSjGu1omX6yYSkTg2KCm2FM6ppK0y/vPyD2PmDMPf69M7J2mYIzjGtlWO7cIDGHG2T5aYQ3cYTciTMUn3sVu1QZWGmsxzMennBYnrejJedJhEkUcauPjgexcraFsCUmiDEqDX5FCHSs0Eph4iRN/1/LjPVddBijwwTVC1n+7XdJ2rsQ3bsHnGyR/ORpJj//CynZsR2kk7rgTv7s3xzotyRE3QbX/+V/AYCKApKgg+W4jD735dR6bsAkEXG/zeLb36Izf52ouVsLiKF+4z0sL0PhyDnGX/kGYWuVfnX+E6nGHfTqtOsztOq3addu0+9Wt+gSGaOoLl4CITl6+mtIyyFfPppaxAApLYSQqCSg21pg8c6PDize9VNNctCKcHEOtzy0TnIAnGIZd2QM6WfRwc47bqcygjc2uUVZ1yiFDnr0Z2/eV9fgQXAqw2SOnqD0wufwJqa2VTIG0p1EGKapnN1OuvMeBAOaJMYotV6nxShF5bUv3tOEvWtos309FwKxZddm6CctPCuXasEAlnTxrDzKxHSiKrHuI4WTBr1h0YyWiVQfYzS29PCtPEHSBgSelcezshg0QlgkOsK3C9jSpd+5uL19dzfvHrVcHjViHdCJ6wSqMyA4TwNy94LsyXPkT58nc+wk7uhE6na6qzCsDgNUv4vq91D9PjoKNsaCStIFUymMVtjFEoULLw1quj3+/nHQMEbvGBOT9DqYaOfA1INA0m6lrs49nN+YNHxgEDJHVG0TLjUpvXYS1Y1S9dvlJjLjpsRh7b4Gr613c5nM8RG8iRLStQmXmndd3rDy0ffB6PtmN61BxSFBfYnVi9/nXnOHMXqLerGKQoL6MtVLb2Jn8huFUJUiCXv0qwupAvJd64KOI4LGMvNv/hbd5dskm2pj6TgkaK0MNmp6YB36ZCayGKPo96rMX/8uQb9BFGx/Fv3uCvWlj3HsDOWxc7heAWl7g5pWCd32Au36bZqrN4j6Bxek/ukmOaRy/97YJJnjp9bT2qxMBqdUxhkaJpzfmeS4w2Pb6iPpKCRuNYhqq3suPrgG6fn4k0cpPPsyudNba+sYY9D9Hkmvk6ZwdlrEtdW0QnDQT4lOFKKjaDCpq/W/S8+/smdf+V0XTwkUG8N+fXGQ1ro2hsHQi+q4fgZLbHSfWAdEKiBUXbRJkMIh0SHGaALVGYjpgcTCkg5SWANBPRffKaDRJDokSNpk7CKevTXo0Wi9bYcjhMAIkU44uwyEPCzEOiDW+99dfmYhBJafpfDMC+ROncMd3io2p+MYHQYk3TZJq0HcqpO0WyTtFqrfTcdCEq9vAHSSYFSCPzVN4dzzYH06pzgdJztaJ6OVJaL6/uenB0H1ewPpgd2NtaQTYJRej5+JVlvEjV5Kcj53CruQEC40iGodvNEiOoxJWv002WKwqenfXMYpZ3GGciAYuM7vch1ff2fX96DjkH5tnqjXSONspJUKd4Y9jFJYXgZp24DA8rLoOBz839BduUMS9DAqXnehqyAtxyAdDyuTQwU97FwxdZGrhLjfoXrlxwhpYbk+luujon6avWRJwm6d/tJMSqr2NIcJLGkjpTPI/NxQgTdotFZoo9ZjCA8bSdRldeHesUBJ1KPTmMPoJBWzzA1jWan3QiUBrfoMjZUrdJpzaP008HjXCOZn8CeOYOJ4oCsBILAyefKnLxAubM+yEtLCH5vEn9iqyxI3avRuXX+oCSR77CSF8y9SOPfcls+NMRiV0Ll2ieYHPyFcXkDtIXvrYZUhjVmrgrv9PNJJg0BNsnbfG1WnASLVZaFzmSH/KJP589T6M9T6M6x0b1DwRpnKX6Dav029P4cZ/JJCIkRqohRILGGT6ABtNK1oiVhtTW82Wt+zSq90XJSQ8IgyvZ7i4CBsh/y5Zyk+9/K2bB6jdTrmbl6h/s6bafHUXY49VR568Jc+sUitWjtZNlsfvk3rw7efmCKanY9mt/x/+XfeW/9378byjloo4UJjy//jRo/qH11MvysF7FK75X4Q0qJw7Bx2tojl50Apmjc+JO42KJw4j1caBSHpr8zQX7xNZmya7OQJQNC8/j5hfTmte3XkFM2r76HjkMzYUbzSCM3rHzD03OtIyyFq1+kv3cErD2PnStiZPEZrurNXScI+hePPYnk+bmmY3uJt+suzu3BXpcHStvTIeSPkMiM4VgYpHaSQKB0TJ32CuEUQNeiF9UEW7OO3LisV0qrfoVW/M6hAvuamOrz++qknOSaJCVeX6d64QuH8C+uf2/kCxWdfovr9P9hGcjLTJ3GGRpHeVstIWF2mfXl3Ues7QkjKr32JzLFT234UrSxSe/OPaX30ziB6/xF3SGNQ/d6O17VyeSzfR3UUvl1gsnCenFMhVsHA+tJhOHMM386v85+cO0TRHSfnlLcIQ4Wqg5dkOVn+PN2ohi19enGD1d5NjpdfI0za9JMWXepsyUHUCrVTXSqRxk+pfhcdPiU5nywIrEyO0T/1i0g/s+2n9be+Q/vKRwRzt1NX1BMwST8JMAZU0NvRZS5dD+n5TwzJeSD28koNB0JwABACO1ciWF0kalVBSEZe/gorP/1DnFyJpN+m9uGbGKMpn3sFy8sSNavE3RbDL3yR1fe+S9JpEjVrlE4/T1BfxvKyCMeh/MwrqH6XsNfGzuYZfvFLBNVFwvoK7VuXEEIy/NKXmf/uPyesLaKTmPqlHw9iH+9/f5Z0OTr8KsOFUxQy49iDkjUbG8/BcxrY+YxRREmPxfqHLNQ/pBfVtqkRPy6sFeo8bHzqSQ5A0qjRu3VtC8kRlo1dLOGNjBPVVrcEEmeOncQpbC1SGbcaxNUV4saDfb47Qgj8qWnsYmm9avMawpVFOjcu07n+8f4qfA+C55D7jz0wWhE36zsOMqc8RLSySNJpE6ouC+1LWNJGG02k+mn5gt6NQc0nQ6R6A1G9kGa4AEIQJakbK1I9GuE8gWqT6AiBRJmEWPW43fwp2miUibfUZYHUt520dvLTCtyhEeJG7YGSAE/xZMHK5fEnjmzTZzJa07t9nc61S4RLOxcBfRCEtB5r/azDhSGuV3fc8VvZHFYu/1C1qz47EBidoJOB68l2AIGOQ3QUrpNIabsg0srlJolp3fiQpNtChX3C+jLFExewMnnC2jL95TnyR04R99IMrahZJel1cAoVVNRHhf00oH7gIkuTO/QDCY4lHTJumVPjX6WQGce1c1iWu2NF8s1hRsZY+I7FZOUFCpkJqp0bLNY/IkoOtqi0kBYCcaBupoPCZ4PkdDuES/NpB3P9QWVyiXRc/Mlpkk4btUZyBtlXVu6umjCry0T16r4qNq+d1x0Z2zHIOFxdJpif2ZN7atOJ08yAh8xCMUoRN6o7ur2c0hBWNn0e2iQ7KvkGSWvTpiz9l0qSTdbowZ9GEak+kdruGutEVe6l5a2j6J4E0x0aoz97+wF3+BRPGiw/gzM0kgpd3lX1vnfnBlG9ui/iKiwb4TifmOyjPcMY4vpquiEyZgtBtHIF7FyBT4gd57HDKVSQtoMh1bHBmEFSxwaxjrtN3EJl3dUUdxppLKRW6ChASImTLRCsLhC1akSFMk6+nMb5BF2SXhunUFlPFtlMZnQUIB2X7NhRwlZ9Pb5nMwSCjFthrPQMw4VT2FbqYdAmoR+1iFU/VW8fZMMKIZDSwZYutuXh2Dl8t4RtZ5DSQqmI+fp7W6uyPyQK5Wn83DBhr07QqxGHnSeG8HwmSI4O+0S11ArjjUxsFBMUkuyJ0/RmbqTBdAPC4I1NYmXS+IC1RT+Yv01UfZjCdwK3PIywtu8uo+oy4fJ2zZVdQcpU/VQ8XJaRUQnh6vKO1czdkTHs4r1FruBeKdr3S9y+1092/lxHAWFtBbTGyK3Ch9741PYaRU/xxEN63tbaSOsw9O9cR+/kntzVeX0sP8sjybp7LKK7hqi6jA7TwH6xaTfvlMr3LH/yFNvhD42DmEBHAb3F2ylxSSL0Jst+f2kGy/HwR49gjEnLZqyJw2pF2FzF8rPoJEb1O3TnbzL84pdAyDTWMonTpBGdDCQ5NCpM1X7jdh2vMk5++hzmzmWCKNhmobMtn3LuKMdGvoBt+amVXAWEcZtmb45usEKsApSO0yKe0sa1c/hOkaxXoZCZxHPy2NKhnJvGtXOstq8Sxl0OqgMPT77A2NGXadfuUF38iHZjljhso3WCVvGBEqq94jNBciB1d7Q/ehfnS38Ga53kCPKnL1D/yfeJSUsHZE+cxspkYfMuUCl6t67vn4ikl8LK5nesCq667X2rJ0vHJjN94uELImpN0qyjOp20lMQmU392+gTB/B2kl7mrvMOjg4ljkmadpNvBzuW3VL3OnTpL66O3CZcWMPHTPewnBcJ21zcTm2GMIW5Utyw0e4EzNIw3NvGwzXsg1sqHbMFA8+WwocOQqLaCXSxtkcfwJ46StJs03v7BY802/KSgeS2tNaWCjXjExuWtonxJv0Pj6rtw9d10XdgU/G5UQvW97235ftxpsPiDfzkQa0ytK8xcXf+5CnssfO+3AOjMXqMzdz397j1kSYaLZxgpnMWxswghqLVuMF97j9X2DZS+/3wnkNh2hmemvslw4RSunSPjljk6/Bq3V94iUQfj4hdC4rh5hiaeZWjiWVQc0Oss0Vi9zur8B/TaS48tFuhTas/dDh1HtD9+P10ENw1+mcnijU0NxMcccqee2aqtYQzdG5eJ282HVzg2+j4GjP1NSNL1KTz/6iDF8eHRufwhSbN+10UsMtMnKb30+QO5xn5hlKJ98d3tLgxpUXjmeQrnnn08DXuKfcLcW/DrIdbnzNQxsifO7v8Eu4QOw23xQqmo56OJBepcu0SwuFVhV3o+7sj4lvjDp9gBxhC1aqg1y8lu59+9ZNbeQ8top7bcr8RKKTtJPjOKQdPuL3F98Y9ZbV97IMEB0npWSY8r899itXWVMG4hpc1w4TSWPLh+2msv0qrdQg9iKS3HI186wtTJL/Lcz/xNnnv9f86JC7/A8MTzOO5ONQgPD58ZSw5aE7eahKsrCMtJq5MPdl3eyDhRdZm4XsU/cnyLACBG0711LWX6DwFjUp2dnSZ16flYmeyezfNWvoh/5Bj+2ORWy9NDoHvzMv7RYzhDI+sxDUKkwb2508/Qu30ttWg9hl2i0YrutUvkzz2HzGTSFMQBGfUnp1FBn2B5gWhl8ZG37Sn2DqMUescYN4GVK5D0unsOOvYmjuBNHMWtHL7LRofbXQtWvphapx6BblMwP4M/PoU+fjqtO0eqDO6UKhSff5XezE1Ur3tomjmfZBijCVZmU82bJ7xQrWtlcewMxmjqndsEUWtbYsb9YYiSLs3eAr5bwnMKZNwS4gBtHM3qTeKwi5+tkCtNks2P4WVKOF4By/aRtoPrFciXjlAZO0e3tUCvvUzQrxH1m4fqzvrskBzAxBHB4ix2IS3ytwZ3ZBR3ZQQdBKkY2WBxN1qj45hg9hY6fFg3iCHpdnZUtHQKJZxShbhe3fXZpOfjj0+RO/UMdr74kG3bQLA4T1RdwRudxM4X1j+3c3n8yaPkzz6birN12vu3bEkLy/PSlPW9QGuChRniRhUrmx3EXaRwyhUyR46RP32eVtAn6Xb2WYBSIGwLYTv7jgl5it3BJHG6CN8FIQTe6Dhxs4babaC/EFh+htzp8/hjk1vG92FB9TrbXGp2NodTKGHnCyTtgyngey/EjSrhyiJRdQV/akPTy8rkyB4/Q/b4afozt1C9zv4XciHSDaHjosPggWPCFRk8md0iFPqoEOoesQlJzC76zMCS80lAqn/jYExCu7+I2qe4Xz+sEURNQKTBywfoVu13lul3VpDSpjh0nEJlmmxhDD83iuPmcNwsmfwo2cI4xmi6zXnajTt0W4v02ktEYZsk6qGS6MDdWp8pkgPQu34Ff3QSd2h03QrgjU4QN+qYJNlSsdyohKTVpL8w+/AVm40hXF5IA9DuCuz1p44Rt1v0bl/f3e5PSPwjxyk+/yrF517ZkhH1sBL2OuzTu3UNK5Oj8OxLm84psLN5Rr72cwhp0f74A6Lq8q60HWBQ5VcIhGVjZbJkjhynffnDPT9XFfRpX/kIYdlkjp3adL8Cb3SSka/9LEhJ64O3Ub32tmyGnZu3IW4obWe9Enznyod7atsOJ94e+yrlPeNhxaZq91tg1v/4VEH1uqnAH2wdE0KQP/8iwcJsSoJ28f6k45I99QxDX/gqVjZ3oGPiXghXlvAnp6G88Zl0XLzxKfJnnqPx7puHa80xhv7cHRrv/ZjxiSOsVdQWUiL9DBO/8JdY+aPfoXfrWqqCPMi+uT82jdVBvbj82WdxR8bo37lB5+ql+x495h7jhP8iObt8UHe5a8wEl1iKblKNH1wk85OEgeINxhiipMd+54JEhyQDC1A6Pg66bxq0jmmsXqOxeg0hbVw3x9DEBYYnniNbGMfx0iSZfPko+fJRjFEkcZ/60mVWFz6k21ogClo7x7vtE589knP7Grkz5/GPHMMaCJDZxQqZ6ZPrJt81JJ02rYvv3jtuYC8whv7sTZJmA6dY3qS+TFq/yvORtk31e3+Q7g53mIyE4+JUhql8/svkzz6LnStsRPlHIcJ2tgTk7hedyx+ggh5OZSidxLc0QjL85W9QevkLhCuLdG9cpnfnJkmzhgoDWHMvSImVyWJl8zjFMt7YJP7EEdyRcZxSBYOhe+PKvgKZm2//ELRG+hn8u0pvCMdj9Ou/QPmV1+nP3qI/c5P+/AxxfTV1jaxZ0qTEzuWxckWcYgl3ZIzMkePrmXUq6O2J5EjXS+UBBn9L102Voh0Xy/NTbQzHxcrlyR47tWMF6coXvkLSbqLjGBNHqDDAxGmmh4ljdBQOfkeYOP37k4yk26Y/dxvd66bZcZtJzpkLmDii/fEHdK58dE+roV0sk5k+Sf7c8xTPv7DR/43BxNGWcXbQ6N68Qvb4afzJo1s+zxw9jlsZxspkabz3ozQb514uIyGxC8U0vTiO76nqfS/EtRXaUYA7Mkb55S+sF/kFkH6W8Z/7JaJGjWBhlu61i/Tn7qzXwltrk7BspO9jZXM4pSHckTG80UnckXG8kTGk4xBVV4gb9Xs14ykOEVHcJU56aTq4lWG/WYO25WNbLgZNP6ofesaT0Qlh0GTh9o9YvPNjHDdHJjtCeewswxPP42crSMvBcfOMHX2V0aMvE4dd+t0q9ZUrzF774wNZez9zJMeohHBlgWBxltwgOFEIgVsZTrN2Nr6J6nXoXr90YLsxkyR0rl1Ms7iOn17/XAiJXShRfOE1vIkjRNUVVK+bxvAIgXRd7Hwx/V1IsymsbA4hJSoM6F7/GNXrkD1xDm9k7OHbqTXh8gLV736LsW/+hZSU2fagWCdgWdj5AtL1cIdGKT7/2kahxLVq5XIg2W2lrh/pukh3sNjbVkrk9rnBNkrRvXEZoxKGv/xNnFIljR/a3L5iidzpZ8gcOTYgCzFGq/UdvpAyDTC3rHSSd10sL4NwXYSQe1KMlZ5P6aUvUHj2pdRqIGVqlZFi8Pem/8t0QdnJYpN/5vkN7ZNB0b51S9Qg9RSTxpYF83eo/fCP9vcAnxRojer3aL7/E0qvvr5uRV2LlcueOIs7PEbx+VcIV5bQ/W5q8ZES6Xg4lWHsYjklq9l82keBYGGGcHUZHQaUX33j0LKd4kaVYGEWdygt5rsGISRWNkfp1dfJnjmP6rbRQVpMFCnS8WCnBFh6HsKy6V7/mN7Nq/Rnb+25HarXo/Hj72Pni2SOntgqZGrZOMUKlp9N43fCYKO4r1IIS2700bWx6rgpYXdcpDsgTULySFLyn2Ib2v0lsl6FSv44pdwRVtpXUXrvG5y8P0rWHUJrRa1z69Hp2BiNMRCHHVQSEgR1aosX8bJDZHLDZAtjFMrTeNkKjpfHsj1cP8/cte8ciC3nM0dyAKLqCuHS/DrJAQaL8MYuSPX7xK16WozzoGAMvTs3sXNFnFIFZ1N9Hek4iGIZK5vHHRpBBf202q9ITeBWJof0M+vWJ0h3wuHyIu2L7wLgjU7CAZAcSAvx9Wdv0frwbfJnn8UpD22Jc0jdTvaWz8xmc/jAdL7zY3h4dp60mvTu3MD58G2Kz76MXShteX9ysJCQ24gr2nX79uhCE5bErQyTnT659xvZBKdwfy2iNdiNKvohA+GfFJg4pnP1Ylp9fHhsS/+2c3msTBa3MoxTGUnjQYwBKdfdipaf2agIbQzR6hLd65cJFmcRlkX5ldcPte39udtYuXyanel66wRNWDZOeQinVEGHIToOMSpJg+UtK62ybjlIN81wiWqryIXZB1zxHtCKqLZM+9J7mDgic+QY7tCg0KkQSMdBOs6WTZwxJrXkSDnggE8JDEDeGSFjF0h0RCtaRpmHzKglTeMuuWN0k2ZatJi9zX/t/iJZr0wxO0kxO0XOHaKjU0X53SLnjVDITOA5BWLVp9q+iXrEYn3GaFQSopKQsFen363Say/R6ywTh12KwyfwsxVsJ4svK4Pg/Ye/7meU5CwTLMylmRHraqtbB3ncrKe7xwMOPg0XZ+n6GexCkbyfGdTHGvjShUA4zsYEtQPWFmodhQQLc3SufED70vvY5QrFfhej9cEovWqN6nWp/uDbYAzZE2fwxibSSud3K9QOsDbB3w/p5GpSAvcQFjKjEuJaler3/xDL88kcP40zkAF42PYZrfet0fIUe4NRCb3b1+hev0waVzW+7nJZiy8Rnp9mEN7rHIMFW4UBnSsf0br0HtHqMk5lKCWsd4lHHiT6MzfBaPzJ6dR1attbshLTwN0MVmZ7ba4DhTG0P3oH1eug+l2Kz3pIP5OSqR3mNyHEA13ba1ZPE8fosP/wEhqfAJS9ScaypwmSNkHSpq8OgOQIyXDmGEnvRhqDspvA6E1oB4u43Rzl/DGKmSmGCidBQDeook2CXotfWZtORaqSjJBIJFI6jJbOUcpOYUmHVm+Beuc2BrW17tUO2Csh2y2EsFL1+7CNStISGkJaSOlg2Qc7Vj6TJEd1O0TVJcKlBby7/OlrCObv0L99/VCu37t1lWBpjqi+ytDPfBXpZfZkUlfdDtU3/5jujctEA4HCpFEnbtRQvc6BZluZOGL1T34P54OfkJ0+SeXzX8abOAI71UzZ1QnTQqCd6x/vmGm2x5Nh4oil3/tn+BNHyJ48S/G5V9P27RdakzQb9G5cffB3n+LAsPqd36U/d4v8+Rcpv/i5PYlbmjgmbtRY/ZPfo3P14vpiHNeqJM06dmno0LRrTBLTu3OTuV//h4z/3F8kd/LMjgKHjwqpy+s2zXd/xPCXv0Hu1Ln9Z5oNNlOdyx/SvvgewfL8wTb2CcRs5wNs4SJ3iJnbL7RJuN780b6PN0ZTa9+kH9V5/tgvcWr8K0xWXqTdX6TWuUU3XCVRAVonGAxS2Lh2Ft8pkvNHGCqcpJiZJIy7LDcvc2flLRzLHxROvv+6E0TNQyE6udIU5dEzFCvHKZSP4niFLT8/yHghYXYqVvSEo9VqUSrtzrR/T1gWlp9dN3XfjTS4M9pF2ft9Qgikm8raZ46ewJs4ijc6gTs0nNbXsqyUmCcxSaedFghtVAkW5+hev5ymr8bxluwk6WfS4p9rwchxlGZzHYQOxCCGRboe3tjEoK1juKNjqavI81OXn+2AAZ3EqZk+6JN028T1KuHKAlF1haheTauG7zWF/L7ts5C2nYqhjU7gTx7FGx5L3Wz5ApafGdQNszAYTJyggz6q30X1OsTNBsHiLOHyAkm7iQr6u7fiCTG4/8MLct0CrdFJsmuXlb1JEXf9FFE46N8PlzVo5QrbxpBJkrTf7bHOmxi8P6dYoXD+hYFIZxk7X8DyMiDlIEA3Iul2Uovs4hzh0hzB0jyq29lmbbDzxQ0NKWPQcXQ40gBCYPlZ3OFRvPEp/KnpVIahWMJy07gbhEBHATqM0FGQZpc1qul9zN0hXF1GdfdTv24HDGQa1jIFvbEJ/IlpnHIl7ateGiCPNmkZgyhCBX2SVoOovkq0ukJUWyWuLa8HwBv14EzKo94zjzW7qp4sEomIvDvMfOcS2ihydpljxZe4WPtjjuafI2uXCJIOvp2nE63SiBbpxBvp5CcKryGFZKF7mb66vwyAxOJI/lkiHdCOVuglDaSweWH4m9xsvU2iQ0YyJ5jInuFq44e049WBm0lwrvxFLOmk6fZGcKP1I/pJexupODbyBcq5Y2TcEvnMOFJYGDTGKLRWaKNYM+MY1mhLar2UQiKFPSj9YVA6QekwtdLtYmP9oyt/nyB+eCkE1y9RKB8hX56mNHyKTG4YaTlpjKK0EEISBk06jTnajTs0V6/Tqj24HmGz2aRYvP8gpcs4AAEAAElEQVSm/jNhyfF8weiExS/+5SJeRpBEhtvXY377f7z3hFIZtpg+5fDC5/L8D/9F4+D1tIxBhwFRbQUdR4TLC1jZNO5ms+JyqtUTrWtUJN1OWqjSaPyMYGzK4ed/uYCXEcSR4ebliN/7ZwdbYRZIa0bpCBVHBAsJcbOBlbmDlcmuB08KyxrsDhgENibrC54O+qheF9XvpXVbDvqBaoWOFEYpStkpfHuC3twS1UvvIV0XYTtpIPSm52qSeKN9YUDSbQ8CvqO9RfUbg94LKUIwef6ruJliuviZNBNh7uK3ScLtujH7QX74GLmho1hOloVL3z60TIqDWpQtN0N+6CiZ8iReYRg/M4UIHfq3FqnV3kQPyLwZqMPqOEZoyOXGyBZPIXKnkMJCxQGNxct063PoJNpSLkVIm8LIcQqnT9BcvEKnNntwKd6DmkbhikIai4xVIutNs/Tet1MV2LV+p5KUqCmV6gStE+3urrW4hLSYPP9VHL8wqGYNWifMfvB76GRALLVC9XvoOB5Yrpfpz9xKFZntwVgdWMuMXmtPkpKvoI/q9QZEv7enZxTqPi21iiLBEg4SCyksLKx0MRdi4CI5HAghsYSNLVzE4JcUFq7MIgDfKmALl05cox2vEKk+odr/Zstg6MQ1RvzjJDogVB3yzjCxDlJ3jO7TipYZzZxYb8/akav92wghca0MGatEyZ0gVD3UXWO1kJmgnJ/GloOq4yIlVwiLHaoE3e/pYFsutuU++KtrR+zToiWtVPzPz42QL02SzY/j+kVcv4iXKWPZHsYo4rBD0K3Sac7TbS0SBg2ioEXYb+zrujvhM0FypAVeRnL0pMPktEO+IPn4/eC+JCdflJw46/L1X8jxT/7LQyA5A5gkIa5X9yQEuAZpgZ8RHD3pMHXMIVeQVIb7h0NyNmFtQX8SPfRCSPKlo/iZUbpzN+leu/i4m7Qj/Pwwfn4EJ1PA8fMIabN49Qe7IjmWnVqkkujek3OmOEZl6gJOtsLC5T8G9WSr3ubKU5Qnz5MbOpr65pWNbsfEC/M0r/0UFd1NIAWlybNky0N4uaE040raqCSi11qi19heZ05Ki2x5kuFjLxN2G3Tr8wcuPKbDANPtI7sxXujQufQ+Ub91wHo5Aj8/gpcfwvGLOF4OIS3mL357g+QMYJKYpBOTdFoPVXtvt+jrNtV4jq5qYgsXS9jpb2xs6SCw1qhHamlArv9bINOfCYkckKKDFhW0hIU2ila0QqQffkNh0HTiKkdyF3BkFlt6lNxxWtEKsQ5JdEg7WiFMuuhNFhqBJFRdDAZtFI70yDolZGBtC3aWwkIASkf7yqp6qPvbw+ZISBvbyeC4ObxMET87Qq40SWn4JH52GCHkIPg4oN9ZJgrbBN0a3dYCzeoNeu3lQ6lv9ZkgOf2u4fqliP/wf73EV38ux8/+Uv6BxxgDKjGEwWOpYLAr9DqGKx+m9/X1X8jxc3+p8OCDnuIJgOHW27+F7fjkR44zcvI1SuO7q7UkpEWmPInj5ajPfXTI7Xx0GD/7RbKlceKwy+Ll75PEPRwvT9ip7kBwUgmAqfN/Ci9Xplubozr7ISru4/pFuvU5VLxdb8YwsIwOahUJxCFJLBqMGaRoDxZuc4BXMjrh5k/+GbaboTR+lqFjL1IcO/3gAx8BOqpOR91bT8fCxhIOtnSw8XCkhy1cbOFgCxdHuNjSxZd5srJEwd6pSv39kbps1jSX2OKW0WiMSQ6E4Kwh1gEGjS1sMlaRIX+aK43vE+l7WXYFtvQ4UXoNbRIEEkd69JLmjt9u9Gb3lEl1kNht+QhpOXh+ieLwKUYmX6BQPortbtL0MRqjE+KoR7sxw+r8+4NSEO1D1+v5TJCc/WD2Vsz8nZjf+402Dxm28BRPsQ1GJ8Rhhzho77iI3wuZ0gQjx1/GyRQ/RSRHkBs6Sr+1TH3mA6p33t30s53JgRAW+ZFj1GY+oHbnferzlx54jE5Clq7/kOXrbx2oourd6DUW6DUXWfj4O3uWI9gtjE6IgzZx2EbvQOieVCgSlEmIVH/tgwHEpj+haI8y5p7YM8kxaLRRWMIFBI7M4FuHv/lb6d/Gt3KMZo5jCYtAddD3KL/gSI8R/xhB3GaxdwWEYMSfxpE7B4jPrP7kUF1898Nug46PnfsmUydeR1jOlmw+YzT9zgrVhY9oVm/QbS+SRN1DUlzeGU9JziZICaWKxb/9HwwxNGZhWYKgZ/i//DuL26oPnDrv8mf+fB7LEvz9v10jDjdeWL4o+Yv/syISwff/sMu1SxHSgq//fI5Xv5RlaNRCCliYTfjtX2sxdyem1zncF25Z8HO/XOD8ix5jkza2I7hxOeJbv9nedv1/9d8sMTJu89Z3enz5mzkmj9poDcsLCX/0210++EkflaQbJD8j+Fd+tcjp8x6FksT1BI4rCAPD1YshH/w44Id/tOFWOXnO4YXXMnzuyxmyOUF1RXHtYsQPvt1l7nY6KRRLkuNnXX7pXyvyX/2dOj/ztSzPvOgxMmbRbmn+6/9XjbnbCWHwhJrY9oS93UOuMoWbKR2awN2jh8B2M2lAuIpRSciDnokQEstJs0N0EqJV9MBj1mEMhkewazHmUEzvn16YTX8O/rUPE3qiI7qqwXT+eY4XX0bpBEvaabLBfY9MrSuT2XNU/CPrAbuNaJ56MP9AvZxmuEg+f4GSO0E1nMEYjRQ2ObvCSOYYBW+EKZ6hHVXpJw06cY2J3Fks6aBMjCWc+xCKB7f+cUNaNtJOEy+SOKDTnKXbWqDTnKffXiKOuiRxgFbRoVtu7sZTkrMJxkASG+7cTDv01HGH0+fdHdeTsK8Zm7CpjFhMTTvcvrbhK83mJK9/Lcu7b6U7LD8rOHLc4XNfyaKUYWUhQQgoFCVf/8U83/39LtcuhRyWDIXnC555weOV1zNoDavL6eQ7Mm7xxp/O8e5bfT74SbA+pxw94fDsyz6uJ1CJYXEuIZuXDI1YfONfyXPzcki7qckVJKfOuzz/ms/iXEJ9NaFYtvjclzPUa5p+z9BqbEz0U8dsnn3F58LLHo2aoraakqRjZ1z8jODX/kGTKDTYrqA8ZPHqGxk++GlAriBp1hRBT+N6gjgGrR8w6I3Bdn0ypXGy5Sksx8dohYr6hL0G3dosdy+M0nLJFMdwc+X1OIck6hN2aoTdGnGwOYZLIC2bTHEcL1dOF13LBgQqDgjaq0S9xl3H7A+OXyBbnsDNlilPXcAvjmG0Yvzsl9a/k0RdgtYK3fpG3R4zeA5eroKfG8b280jLQauYsFMj6KwS9x8+c0JaLo6fJ1uewPELICRaxSRhl259Ln0Gdy1Y2fIkbraCmylgezks28PLD1OaeAbbS93Jcb9Jv7VCv5XWt8oPH8PNpu/G9vMIYZEpTVDRGr84DkDUrdNtzBP1GuvXKoyexMtVsJwN/Y3W8jX6zaX73pebLeFmy3jZCpabQQBaq1S1tb1Kv7GwMWELQWXq2Y1g4AFWbvwIfR+tlfQexnAzJWw3i7RdhBCoJCTqt9b73lPsDtooYt2jGtxBG4UySVrGIEnrIdWD+XuSCWM0oepQC2YQQhCpHrHanXhfGmC8gjaaejiPwSCMQZmYftJmuXeDUHUJVZdI9QlUm2owg9Lxehu1Ufe0/jzpiKMu3dYCYb9Or71Mr7NM0K3S71aJwwPKGNwnnpKcTTAG2i3Nf/93G5w+7/L617McO7Vzqvr8nYSVxYTKiMX5F1zuXI8wBhwnJS8nz7n847/XpLaqKA9ZfOGrWY6fdvjv/m6D6x9HaA1f+jNZfvXfLrOymLAwm9CsHc7OL5eX/Jk/n2d8yuZ3fqPN+z8OiALDL/xKgS99IzWRXr8U0e1sDOahUYvXvpjh7/xHK9y8FjN51OFzX8rwq//LMr/+XzXp92IqIxaf/3KWyrDFP/g7dWZvxoyOW5SGJM265kff6XH5gw1f8vOvZXjuFZ9cXvIP/k6d6krC86/6/MzXsvy5v1rk93+zw+pyOsgtCwoli5d/xuc7v9Pl2sWIZl1x/LTD8nzCbrKTvVyF8uQzDB19ESdbSk38vRbd2gxht5YG7q4vvgK/MMrQ9Avkh6fTYFbLJg7atFdu0Vq6RmPx8oakgBBI26Vy9Fnyw8dx/AKW4yFEGhDcXLxKa+kqzcWrD72jd7MlKkeeGyzWQ0jLAQxHnv3T69/pt5aozX64heQMmklx9BSl8bP4xTFsN4NKIrrV21RnPqSd3NgxfmW3EELi5YbID08zfPwl/MIIQlioOCTs1li99VOai1dJ4mBLxlpuaJri+Gly5SlsL4vleGSKY3jZ9J0BdKq3qc58sE5yCqOnKIyeJFMYwXJTbanc0FEypYn199JcukoS97eQnOL4GYrjZ8jkR7AcD2l73Pzxr9+X5FhelvzICYqjJ8kNH8f1U+KlVUwcdKjNfEDQWsGoaP05DE2/QG7oKI6XTxW3LZfazPv3JznSWg+49nJD2F528PwCeo15motXWb3dPDS316cRyiTMdD7Y8WfL/XtpnxmUiVju39jXNQ2a1eA2q8FG2rNG0Usa9JLGjsfcab+3r2s9ieh3lqkufjRI/b71yK0198NTkrNPGANXL4bkCpIvfDXHt/55B2NgZMLmmRc9ksRw8Z2A+qrihc/5/NwvF/jv/r91Pnw7oFVPO8Bv/rct/tK/UeLEWZczF2J++v2D1+9Yc8H9wq8U+E//jyu881af1cV0wvxv//M6L33B58QZh5df9/n+H2y4lVaXEn703R4//UFq4akuKTotxd/4d8scPWHTrClyecmx0w6X3g1p1xVxZOh2NB/8JOQLX8uSzW9NP/z6L+aoryh++39scetqujj88Ns9hIAvfzPHK29k+N63BgGBAmwHvvWbHT56O6BRS5/ZBz/dXQCe7WUZOvI8UdBi+fqPCLt1suVJiqMnGDv7ReKox/K1N1OiIwS2k+XMG38Nadn0movMfvQHqLhPeeoCpYmzVCbPo3+a0Fy6mi7WA3JUGD1Nrz5LffZDoqCDEIKJs19i7NTnyRRHiXoNes3Fh3qHQXuVpas/YPn6W0w+81Wy5SlU3OfW2/98/TtaJduyraSwcPwi0y/8HKu336W+8DEqDiiOnmL01OexvTy2m2H11k/33TavMMzUha9RnrpA0Fph9sNvoZMEPz9MYewUp9/4VW689Wu0lq9vIR6N+Uu0V29iWS7S9jj35b9Br7FAc/EyjYUrAKgk2hKvVL3zDo35i0jbxXazPPO1v0Vj7iLNpat0qjPpMXFIfFeG2vzFb7N4+Xu42RKT577M8IlXH3hfR5/7JuWp81iWQ33hYxYXr6J1guMVcPxCWil50w7faMWNH/2P2G6WwuhJho++wNDxlx94HWMU+ZHjxEGHTu09gnaaZTl64lUKIycojJygW59L+9ATtHA8xVNsxur8B8DOxPJx4ynJeQhc+SiiMmLzr/2vcvhZSb+rmZp2uPCSx/e/1SPoG4RI3VdHTzj8e//RCHFktqSjV0Ysbl6OKFUOTmFzM7J5yfCYhesJZm/FdNsbF9caFmcTvIxgcnqrImy/Z5i7GW/xMmgFUWDIZCWWDUHfsDyfcO55j2xBYtUUflZw4WWPudsRvfbG7tO2YXTc5tU3Mnz153NEm2KYXE/geYKxCQv7LmHaOzdiuvuIV7Icn8b8x6zc/DHt1VsYrWktXydoLeFkipTGz7J66x2IejhejtFTX8DNlZn74Pepz18i6jUwxtBausH42S8ycvxlpi58jfbKDbRKg1aTsMfV7/+jVGdEawwagSBoLXPic38Rx8+TG5p+aJKj4oB+EiGAOOyiVEQSh1ssEWuuqS2QAsvxuPHWr9FeuUkcdjAYWkvXyBRHsd0suaHphyI546ffIFOeoFuf48Zbv0YS9VJTvZDUZj/gzBu/ysS5L6NVTG0TyYmDDnHYRQiB7WYxWqPigLDbWL+vu+8p6rcAgZQWtp8Hk76DsFPfdMz2WA6jFUr3ifsiJUD3IQtCWmRK4wwdfZ5+a2nQh36SvmPMulw+Rm8TCjVapfcVtEni3W1YjFbceOvX0myswW+AoLnI2JnXGRmQnaC9Muh3T/EUT7EXPCU5D4HacsLibEwYGE5fcLnxccTIhM3xMy7/0z9uEUcpyZEyjTX/1m92WJiJCcOtk/DCTMz87cPxxa5fX8BOgqVapxP33cLPWhmC/nZysS6UKaC6nPDmH/V49hWfv/Zvlem0dHqjBr73rR7LCxskR0iwbLh5JeK9H/VZmNl6v0oZrn4U0esY8sWNIKgwMA+Ov9kBRivCbm1dFC79LCEOu8T9Nm62vF5jSFou+eFjJGGXoFMl6tXTNGNA6YSwVycK2uRKE2nczbr7wWzTtTFA0Kmi4hBpe4M0ygOA0XeFZpoHm4RN+hza1dup5WHg8lAqIeq3yDgZHHefkv8D5CpTYAz91jJRsKEHY4A4aNNZvcXQ9Iu42TRuacM1NqisbgR6QCCMMVsW+u33k2ZkGM16SRDDA47ZcviDMzqEtMiVj2A5Pv3mMu3VW1vceQ/uiWv3sfs+u5PeUdirEwcdjDHY3iHXvXqKTy2EkFhu5p76W9nKFI5foFubXf+Omy2RG5omPzzNyo0fE/WaW1yuueFjZEvjOJkiy9feGhz35AZGPyU5D4F+z1BdVizMJDzzvEerpqgMW+QLkssfhiRJ+uKVMvR7mg/fDnj7h33aza3+daMPXgB4DUliCEODUpDJCmx7wEIG8DMpA7s7U8kYHpg63+9qZm/HeJ5gZNwmm9N02porH4VcfDdISc+m80WhYWEm5u0f9Hn7h3ftdAdFke9+DubBSvI7Ig187W0nIVqTJCG+7a6nZQrLwssNYYzGL4wMsnU24OeHkdLG9nKp4JwQg0aJVMzPyw0kyq1UPl0ILNdPBc4eUATxUDGo+hv3W9tiOtIsJgbB0vuFwMkUiYMOUb+53YJiNP32CtJysN3MXSTnyYQQaV8QQhD1GgSdvYt07hWOX8B2M0jbQ1oDCX4Bbi5NnxbS/hRl0z3FI4MQWE6afNFevslORERaThpLuClYXgzmutLkeepzl4iDzqaNHUjbwS+MkhuepnbnPVTU2xOpf9R4SnIeEq264u0f9njx8z7thqI8JGnWFbevbXSKXtewsphw9KTNBz+BgRYZYsPyfWiCg0HPUF9V9LqaI8cdluaSdZeV6wqGxyzqq4rl+b1bkhxPMDSSBhr/v//jKtcvhYQD64/WZsuYSuI0zkdagomjNloNCM2gMLgQB0v0VBykcvrbsN2dIZBYjoeXLTP94i9wT50VrZCWu67cadkeQ0efozh2Bi83hONlsWw/rYtmOfRbywd3Q/uAMZok6u+cfrr2DB5i8RQiVRk2Rm1T2l27hoqDtGig5SDt3cvJPzYIgXQ8QAxigg6XlAlpU558hsLoCfzCGG6mOMjUSysy7/hcn2JfsGyQUiDkhh6P1ukmVN8lm7RWpN2yBVFoUku0FAz4J8asbQTNNnmRzVizpFu2WB9qqShlugE9iDArcVcx2zUrp2X7eIURKtMv0K3Nrotgrt+okHRrs3Rrs1s2QWGnSi3qURw/s2PAe3vpOgKB7T2cFfhR4SnJeUjUVhXf+1aPv/Jvlkliw+qS4s0/3mp+XpiJ+Y3/usXf+veH6DQN7/+4z9J8Qr4oeeFzPlc+jJi9FRNHB890jIFmXfFP/6smf/FvFHE9wds/7BP0NL/8r5coVSze/kGfH39v70HPWqXWGT8j+U//weSAsBmCwPDumwH/9B82+fDtYP2+fufX2/ypP5vnL/xqiZUFxcX3AlxPMDphM33S4Tu/2yPsHwzTSV0Gu/1uGg/Say6ycuPH9O6ZdWPW3T7Z8hSjpz7P+Jk3WL7+JrXZD+m3lknCLjqJOfPGX8PNHFw1+H3jEHdYxihUEiGEjeX4278gBLaXH6RER0+8FQcAo9FxHzBYjoftZUjCAywkuwm2m2XywtcZP/M6zaXrVO+8R6d6hzhoo1XC+Jk3mDz35UO59mcJQqRxf7/0r5d59YtZjp5yKFVsuh3NxbcDfviHHd7+fnc9IQPgxDmXb/xSkW/8cpH/09+cY+q4w5e+meel17NkspJ6NeH6pYA3/7DLH/xm+57DbPKYwxe+luWbf7HE5HEHKaHb1ly/GPJP/n81bl2JtsRJ7ufmjr7486nkhe1itGLpyvcxOkmzCsdO4xWGsW2fzuotOrVZeoMMzNGTr1GafAYhbWbe/22C5uPdlB0WPhMk55kXPL70jRznX3QZm7IZHrHR2vD//G8nCfqG3/61Fpc/COl1DL/4Vwq89AWf4TGbyrBFoWzxn/2j9HsX3w148496XPlwY3cVhamVZmkm5vyLHj/5Xp93f7R1Mm/UFD/4dpexKYtXBoG3tpMG8S4vKJbmE2Zv7X0xeu4Vjzf+dI5zz7uMT9kMjdkk0eC+eoZ/8Y9bXP0opF5NM5pyecnPfC3Ln/nzeaSEZkPzG/+oyUfvBMTx3q7vOoILL3n81X+rzD/+L9O0+H5PI4BMTvIrf7PEK2/4IAzv/DB9Hu/9KEBrePWLGX7lb5bIZMvEMfQ6msW5hO/8zsFJre8FWkW0V+9QmbpAHHXpNxfQ9xAtWgs2dfw8+eE0qHj11tsE7VW0ijFG4+XTCruH4WLQKkGQ1mHaDQ7biNxrzOEXx8mWJ1NBv007PyltiuOnUVGfuN88sOKjhwmjFZ3aLForsuVJ8sPHaWxRUz44SMuhOHaKoFOlPvshzcXLqDjCGDWIYfI2TA5PsS8IAWNTNn/93xni1S/nqC4lfPxeSGO1S65gceY5j8ljZV75YoZ/+LerLM8l61Z2yxaUKxZ/498bwrIFrit489sdtIaT511OX/A5dtqj3VS8+2afoLd1tH35Z/N8/mtZXn4jy+JszJ/8dpqpmi9Jzjzr87/9v47x6/+gzntv9vdlSR/cIfmho6zc/Am9xgIqiVLtq4E7XcUBhdGTzF/6I1TUQ23S3qjPXULaLn5+mE9zR/tMkJxuWzN7K1VFvXE5Qsr0hcaxIQ5Td04UGhJlWJxNyGQj/EyMZQukHHwvMszdTraxbmMg6Gl+55+2KQ9b3LgcsTCzdYFM4tTi88M/6lFbUZSHLTxfEAWGpbmE6pLaV+mIdkszczNG6033ZSBO0vtqVNP7UgksL6QWpuNnXSrDFtKCpbmE934c0Fi1cGyXOE4XoffegttXNbO3tt5Hq6n5Z/9Ni1vXYixHMHHU4dgph7/3n60pEGuEgExG8ot/uUixbFEZ3liMOy3NtYsh0aBthZIkiaHb0awsJKn5dvA8Z2/G/Nrfb9Lr6UPPnFVxSGvpKuXJZ8gPTWNUQr+1jE4ihEytFNJ2MCqhU5tZS/vBGINl2chBGvRa7Elp6jyWl72vtomQdlpU0vbWRQRtxyexPbRR6bE7bA/jfhutFY5foDB6krDXSGsjGZ1W3b5P0c7DQHPpGraXw8+PMHzsJbq1OYxRaSxAcYxsaYL26m2CTvWxab2ksVKpSzLVGEo1jtYEIrVW6xlXWiv6zSWC9ip+fpjK1AV0EhH1mxhjkNJeF+zr1ma3BDwLaaX9xXaRg1gna6BLZLRKv3tXZzZaY9n+QFcndZPZXpbi6CkyxbH16ut33dHgWlbalk39R6tkcK19BrN9yjA0ZvHMCz6vfClLbTnhJ9/tcftaKnmRyUlWFxOe/3yGCy9n+OKfyfMv/vvGuiirIHVxHTnucvmDgGsfhszcjNAKZm64vPiFDJ/7So6X38jy8XshQW/jXQ2NWrz0eoZT5z3qq4rv/MsOy/Mx2qSK+MtzCX/+r5d49UtZem39ECQHOrVZpO3h50dIoi5Rt4HRqaREHHRQUUC4w/hLwg5J2EP7T4DF+RDxmSA5s7fibQv2vfDd3+/y3d/f245TKfiNf3R/5Vij4eI7IRffObhCa3eux9y5vrv7MgZ+8v0+P9lBi8f382QzBZoDkvPDb6eLQqezNR6gUVX8l/+PVH11+pRDsSyRlmDuVky/nxIUKUFpQ9jXKLU9GmRlUbGy2L+vJlCva7h2KeLapcMP+oSU5DQXr9JvLVEYPo6XrdBevU0SdpGOi+sXkLZH1G/SraeLeBIF9FvLVKYuUBg7hZstYbTCzRYpjZ1BSot4p5pUQmI7Pl6ugrRThWVn4NLJlieQtodW0bpq8t3ot1eI+228bJmR46/Sqd5BCEES9Qk61UdPchavkCmMUpo8z9iZN6jPfohWMW6mRLYyhRQW9bmLBO2VR9quNUjHw8uUsBwf28vjZooIIfByFXJDR9EDN1rYracZJEYTdmu0lq9TGpj7hbTS9641luNhORl0EtJrLmKSCITEGuyI19+pn9ZLypWncLwcWsWoONzyHLRO6DUWqBy5QK5yFLQhiXu42TKFkRO4mRLJXX1ICAtrvf+kAaC2m0v7T+UITtBev6dHETT9pOPIcZeXXs8wccThn/+jBt/7vQ6LsxuE4tK7AQb42V8u8s1fLvD7v9FCJVuJaK+jeef7Pf7of2qzphpw6Z0+vY7m5dezPP+5DJ7f2HLMiXMeF17xcV3Jt36jxW//k43im9KC99/q8/U/V+C51zJUlxU//MPu/mISjaZ6+x3KU8+SrUyik4iwUyXstTbibz7jQeufCZLzFPeDwPOK5HPjtNqzABTyU0hp0+0u31Ott1lTtJuafEHy6htZ3vtxnygwFMqSl19Pa1P9xj9qcevKIdWq2BV2u5M1qLjPtR/+D4yeeJXi+Bkmn/kKtp9HxQFRr0m/uUBj/tJ6FkGvucD8pT/CdrOMnf4ZLMfDaEW/ucid936bypHncLzctis5XpaR468y/dIvbgsYPPUzfzVtjU4Iu3U++N2/vU0tt7V0FSElKgmoHHmW0VOfRych7dXbrNz4Cb3G/B7v/uF2+1GvycLl79JaucH4mS9y5LlvpOUwwi695hLX3vontFduYvRjkKsflFo4+vw38QujW340ce4rTJz7CgAq6vPxd/4eneqd9Z/PvPc7tCefoTR5jvLEuVRA0KT9JOjUWLn+o3VLiePlKU+d59Tnf2XbgnLmi38dSC02cdDmnX/xH69bc5Kox9zFP0Q6XiogeOwlhJT06vPMf/wd3EyRwsiJLedzs0WGj73E9Eu/yN0uhrNf+htAmlkYdFb54Hf/9mfemnP0pMNzr2VIYsMf/vP2NlX5+qriyocBJ59x+cLXc4xN2szf2TrmfvCtDtcuhmyWRer3DLWVhOX5hNEJG8veeBdCwBe+lqUyYnP9Ush3f7+z5XxapQkrNz4Oee7VDJNHHfJFSauxP5N1rz5Prz6PXxyjNH6GyvRLrFx/az2jJbVe7h1CiE+FF0uYJzn36x5otVqUSjuXW3iKvaFcPsFQ5SyF4hG63WXAEEVdut0lqtXL9zxOCJg4avP617J845cKlIcshEhjlKrLCd/53Q4//UGfxZnkkVdxXy/eqOJtJEEImZr4pXVXWYcUaSp46kpKs6hMqlFjdBpzs9nkKwSW7Q++KwYbJ42KQ4Rlp59pfVdKelrzyhpk8OyM1BV2rxgWIa001Vja69c1Wg3al87EwrLTe0GSRNvPI20PKS3MYOF+OIjU9Wa5A9fQIPB7cO8PdlOlLpr0HpJdEiKB4+fQSYzWyT2vkbobPYS4t9imMWaQBrt1kRHSQkp7/V2ufRdj7upba+90h+DrLdfRO7xTsSmFN83AMVoPArpTt9SaKzL9ukBKZ9B/7nmlVCrhEVv1DhIle5Qx5wSnsi/v+piZ4BJL0U2q8UZpk7/yv6jwy3+zTBLDv/Vnb9PrbCcSL7+R4Wu/WODP/bUS/+G/Pc/Ft/sMj9v83F8q8Zf+Vpn/+/9+kfff6rOyuLVfvvblLP/Gvz/MkeMO/5tfnmHudtofpIT/8P8zxQuf98nmJb2O3p6BJVK3le0IfviHXf7uf7zC/C69DRvnkNhuhumX/ywYk+p+CcHipT9JS6EYyJQnmH7pF4h6TVrL1+nW5wiaS1huhtHTX6A4egrHL9BvLtJavk6nOoPjFygffZbK1AW61Rl6jQW6tVlaS9ew3RyVYy9QHDtFtjRBpzpDe+UmndVbO1qeDxvNZpNi8f7utqeWnM84er0qQlj0gxrdbmpKVyokfsDCZwzUVhRvfafH8mKCn5Gp4GBi6HUNd25E1Fb3F2v0sLhfFs9aJtW9oFW8RRPivrgPQTDJvW787gVy70gVfBVwb9enUQlK3Zss6CTcRdnBXbdoXVV4v8fvPSjZpPodD/qWTkjC/VmR1p9z8iAX88O8U3PP/mhge180Bq2ibVpOT7EzhEx/a31vgcZUn8vAIN37bmtc2DfrmmfbcI+PLTu1hFSXFB/+pI++jy3h2kch/e4+RuNAB2v15mbFckPYrQ3SyNN/L3z8ndSS2G+ulzzRSURr8Sq9+gLSslFxQNxvpzE8cUD9zvt0Vm6RhD1U1F8fnyoJaa/cJGyvYDk+SdgnDtq7GouPC09JzmccUZRWiE2ScKArk8oZS/ngMhNhYJifSZif+WRWzn2Kp3iKTzeSQXKJ6wmktVUIdQ2OI/B8CSYtVaPV1u+s6+jsEoaUGCllWF1KeOuPOluKH9+NRlXRv8/P73stldBevlfR0dQV21q8uv04rejV53c4AlTcTzO0drqeTgiaSwT3KW77pOEpyXkKpLTx/RJDlTPpBwLa7UXm5996vA17iqd4iqd4CHRamnpVceZZj2xOEPTYEluDSFO6h8ZstE5L1UThQ0ZwGFhZSIgCQ7ejuHU14ublp5a3x4XDqQr5FJ8oZDMj5HLjXL32O1y+8ltcvvxbTwnOUzzFU3zicfNyyNvf62E7gl/8q6VthYiHx2yefSXD+Zd8rnwYrNcifBgYA9/9vTbV5YQTZzz+wt8o3zPByXUFjvspiO59gvHUkvMUKB2hVEw+N06cpHVItI6IoifXz/oUT/EUB4fS+TGKp0ZY+ckdgpXOA5Puys+Ok50oELVCVn8yc8/vOcU0wD5uPR616zvXIyy7yytfzPLzv1LiyHGXm5cjVhdj8iWLz30ly9GTLtWlhP/+P68RP6wVZ4AbH4d8/1sdPv/VHF/8Zh7PF1z5MFzXWSuUJKcupBo6F9/u84NvPflCmZ9UPCU5u4AtHDKyiCezuNLDxkUKC4NBo9EmIdR9Qt0nMj0ifY96QXuExCJrFfFlHlf4WMJGCguBQGPQJkGZhNiE9HWbUPdIzN7NokrFKBWSyQ7hqjzGGKKo89hIjkBiCRtXZPCkjyVcLGFjCQeLVMNHDH6lShA6fRdGoY0iMRGJiYhNRKxDItPHHGCY7ScBAonEwpU+jvCw15+hjRQ2FmnG0NovEIM+a9YreysStNFoBv1MRyQmXH+2n7VnuhkSG0/62MLDFg6WcLBFOi/Iwa+1fjqodoRGp1ln6ehNNxMoEhOjTEyy/jskMfEjfb5xO6S32EIFu4uvc3IubiXL/XKMLc+mcGIIo6H+4cIBtXRvCHqGuVsRv/frLb7+5/KMTNhURizCwMeyBcWS5NaViCsfBFx+Lziw+nlBz/DOD3pEoaHfy3LkhEt5xCaJN/TEXE9QW0rdWocJiY0vszhybR5wsHGQwkYKgUBumksNoNHGrPdJRfp3rANC3UPzeEQ994tPJcmxsPHldo2SNRgMiYmJzP2zQSQWjvTIWWWGnCnyVoXsgOzYwsGgUSYhMREd1aCd1GirGh1V2zfhWGu/LT18mWXInqLsjJORBVzhY0sHiYUiIdERkQno6zaNeJmWWqWvOsQm2NO1tYpQSUAmM0ycrD2TR6ssIJBbFgtX+uStCnmrjCszuCKDI3wcmS7WAokUMi2SR5IK9A0IX6h7hLpLoLv0VZuuahCZAGWSlBiiHvn9HTbS52FhYWMJC0u4uMInaxXwZRFfZtcJjyM9HOEhB4RRCgkItNEwIIzKxMQ6GkxwEZEO6Ksuge4Q6i593SExEcrEKFJyediLspAW0vHSoqBapWKNtosxer3cxmFBYq1vMixsXJkhZ5XxZQ5PZnBlFk9ksaWLjb1pQ7KRUq8Hz0kZtenfCeFgYxQNNkqB7hCaHomJBxsZhTYJGrXvzZOwBN5QFh0pGCij61iRdCPsrIsKYrqzDVQ/2jo0BHiVbJp5ZMtUoylMQAqkI7FzLt5wFmFJkk6IChVGaaRjkZ0qUnl+EqM0vfkmST9GBfEjGXppW1OpmE4bvv0veyhtePFnskwddxgat+i1Fdcvx7z9/R4f/rhPo26QjpWm8BtJpydSJfcQhC2xfVCxxgwCk8PAsLqicfNgLImwxPrPAK58ELK6lLA0G/OVn89z5ISL56eSD62m4vaViIvvBszePNh4nbVNoiVsLBxc6VOwhslahcFGPbPeVy1spJCDTTvrG0WNIhqQmtikf3dVk3ZSIzYhysTrBP1Jn0s/dTo5Eoth5wivFn/unseHusdqNMuH3e/c8zsSi7xd4Zj/LJPu2fVd74OgTEKgu8wEl5gNLqHY++Q75h5nzD3BqHMMV95fe2MzEhPTVXUWwmvcCS7tetFxnBz5/ARTk59nZvb7SGGjVEi7s3P0/UHDwsaTOcbdk4y60+SsEq7MHMi5zUBzppmsUI8XaCTLNJJFYnNwytOPGympz1O0hxlyj1CyRvBlHkfeT0vl4aCNpqebrEZzNJIl2qpKTzUffOBDwC+OUjn+IpnyBGG7ytx7v09p6hxJ2Ke7evsQrywoWaMMuVOU7NH1BeMwYdDrC0vadxfpqjqh7u9rJ+2P5njh//B1WtdWcQo+Ola0rq0y+7sfc+SbzzD6M8fwR3J8+Hf+hO6dOkany4Ll2zz/v/sawhJkp0p4Q1lW35ll5c3bjLx2lMx4gaQb4Y8VuPPPP6T+0SJBtUv+WIVT/+rL5KbLGG3o3Kyx/NYdVn86Q9J98KL+MDo5NTVP+VgBJ+sQ92J0oimfKDL74yWcrI3lSIwy9KoBxakcKtKoSJEZ8nHzDkEjxHIt8hNZatebCAG50QxO1qF2o0l3tQ8GnJxNfjzLyNky7YUerbkOverjLUIrEPgyz6h7nIo9QdEeJmsdTNmGNYLdSeq0klXqySIr8W0iHfK4iM5TnZx7wBE+npVFYu04YXgiyzH/OcbcE2Ss/K7IzRokFllZ4Ez2NYadKe4EH1GLF3YxMQls4XA++wZDzhSu9JHsrgjjGixsCtYIuUyZYWea6/2f0knqDyRaudwYxeIxlpffR0qbTGaYJAlodxbhEHfnOavCuHuSIXuCoj2SWhWw9vS8dwOBoGSPUrSHmR64sxajmyyE1+jpFso8TlXmvWPNDVWxJxhxj1G0h3FFZpOLRB74M7wbAkFOlsj4BY6ac+vWzNnwMrV4ntgc/GQ/duEr9Koz9BsLVI6/CEBueJqo2zgEkiMo22NUnAnGnOPkrPKgfx7+s127vidyuHaGsj3OtPcsGkWs+7RVnZXoNrVkgUgHu9rMCFuSnSxy7b/5Cb2FNkkvWrc6LPzxNVSUMPzS1JZjpGvhDedw8i6X//5b+KN5Ks+N05ltYhKNjhSNi0vc/I33yU9XmPxTZ1BRQm+hRftmlTv/4iJDL0+RdCJmfucSOlGY+PBdcJYreeFfPcfq5TqVUyXK03kW3lnBydiItfp+/YRb353j+Jem6FUD+vWQMz97jKUPqxz9y+NYtmTl4xp+0WPixRGaM2369YCv/gef49v/tzfRyjD5wijP/NkTXPqtG2TKHv1GCI+J5GRkgbI9zph7nCFnat1tehh9NWeVyVpFxt0TnDGvsRzdZjWeoalWiPatlXV4+EySHCEEFg6+zNPTW3efjvA4kXmRYWeKjJXHEnt7RKkyqsAy6cI65Z3DFRkWouv3nIwEgqxVYtI9w5AzhSczSLE3grN27fSXQ8ke4bj/PEvRLVaiGfQDiI4UEsvyQEg8tzAYHAfPziUWnsyuD8asLOLKzKFZHQSpNHl6P3Ld7TDmHidnlWglqzSSZWrx/BMeYyLIygJlZ4zcwG3qyxy+lU9dT+LgyeF9W7PWz5GpK8PYFIXNCeEwZE/QSJapJ4sE+uDiuoSUJGGPqNdKFd4Gn7ELTaddXwNJwRpi3DtF3qqQkXkyMo8lnHXV40eBjX6bzgPWwOVlWw629MjIPGP6BD3doquatJIVuqpxb3eWAa0M/eUuUbO/xa2iY4WO1ZbPAHSiiTshxsDoF45hZ12sjEPr2irZ8QJRMyCs90m6EWGjj+XZSDedL40yqDBBxwoVJaj+I9xICIGTtaleb2B5Fn7BpXqjSWEih441KlbIQRkGy7WQtkTa6THLF6tUThSxPYv67TbFiRzthS61G036jZDJap/8eI72UhcVK4QQDJ8us/hRlaj9qNPEBY5wmfBOU7bHyMoSmcF8cBh9dW1+Sc8tMRgsYTPiTpO3y3RVg2o8z0p054mK2/lskhwElrDwrdwWkmNhpzs39xiezO2Z4Gy5hhC4IkPFngCgo+q01M6y1xlZoGJPMO6ewJe5h+6ga9ceco6QmJhA9Wiqe4s3JXGfIGxg2x7SOCgVEcc9DprkuCJD1ipStEeYcE9TtEcG8SCPDikRtMhZJTKyQEbm8WQWgaCRLKNMdCBB4wcFR3g4wseXOYr2KEPOODmrgi9z+yLChwUpJK7wcaWPL/P4Vh5bOKzGswS6cyDPVMchluPhZktYtkd2aAqEwDyEevRmuCJDziox4h5lwj2FJzMPNQccNNLNWRpr4csc2igC3aWjGrjCp6/a97XaGqVJ+vE2MnNP6JSoCCGQrk3SjwlqPYLlDpnRPCoYxNiQEqU1deGNC5pBaYpHnyItpKC73Kc31idohXRX+pSnC5i14puDJklbIKyUsAshaC906dcDbN+mV+1TPlYgaIZ0V/uErYiwFeFk0j7RrfZZ+qiK1ob8WJagGdKvPxo3uC3cwZyQzqUFq3Ko7umdsLbRyVoFMjJHTpaxhYc2iraqEungiSA7T84IfsSQwiYjN/zqAoErs5zMvIwv8we2gPhWjgrjRN452r3aNmuBQDLiTDPhnSJvVw7kmmvwZIZh5wgCQau7fM+FptdfRemIkeHzuHaGZuvOoI7VwUFiMeRMMuGeYtg9ii32VzTuQNskJAV7mJxVZtiZ4qPu99YD656EYDqJpGiNMORMMepOk7eGHqk1Yb/wrRyelaVij2P3XWbDywfyTKNug0x5AtvP42TyjJ17fV2K/mFhC5eKM8ER7xyj7rGHPt+jgBQb2ZcFq8J8eBVl7mOxXatKffd5HJkG6loCy7UQtsTEKi1gTerqWn7zNr25JlqpgQfb3Ot069CxSs/p2UjPwiR69wTrAGCMWf+93iaV/t/2LCxX4uYd7Ea06ZjBH5uOcbI2TsYmCRS2b5OECUZDc6bDxaXrlI8VeO1vPY/lSpp32od+X3JgbRxxpjmWeRaLR2tl3AlCSDwry4Q8Rcke5Ub/XerJAn3Vfuybxs8sybGxyVsV1tI7C9Yw494pStbogw7dMzyZ46j/DEvxTVrJ6pYYkEnvFJPeaUr22IFfF1Ir0YgzzZhzguX49o4umULhCEOVM0jpgBAMDZ3D80osLr59IG2wcDiX/RwT3mkcsftA6kcFgSQji7ya/znuhB+xHN2mkTx+2fIx9yQnMy9RsIYAHvtEtlfYwuNs9vM40mcxvH5PS+ZusXTpu3iFYbzCME62RNhapV9fuG8tst3AET7nc28w5EziiexDnetxIDERC9H1fcWWOQWP43/+OSovTpIZL+ANZam+O8fKj+4QrHQHaeJw5q+/CqRuqO5ck9bVB2+COjMNJqRk5HPTlJ4ZZf4Pr1J7b56k9/hi4Bp3WuTHslz4i6cZOVdh6FSJoHF/N9PEi6OMPlMh7iV4JY/67TZuzmHqlVFOfPkIUS8mbIWErUfhrhKczLzMmHucgjX8CK63d2RkgWdzX6IazzMbXmI5OsykgAfjM5ldBRDpgEayxLvtb2EJh0n3DCczL5I5pKwJbTRL0Q2u9X5KT7dIA41dXi38LPlDNjUqE9NIlnm3/Qc7ppYXi0cplU4MKkenE1A/qFOrba95shcIJEV7mKPeBcbcY9jCe+Tuqd1ibRhEJu0X88EVluPHOzhdmeG53JcZso9gy8dv+dovQt1nIbzGYnST5kOQx2xlkvz4KTLlCaTjY1SCVjHtxWvUb7+/5/OJwRh8Lv8VyvY4jvCf2P55LxgMfdXhvfYf0FbVe+6a1wKPu3NN0BvfEVLglnysjIO0rfX4maQX4Y3kGXv9OFEzoH2jio4SvJE8Z/+113j/P/l2GkicGOJOiLAl3lAW1Y+J2xsuG28oi+XbGG2I2yFJP95y/XvhoaqQJ3MUJnJ0V3rYfmqFCVoRbtYmDhIsxyJT9lCxRlqCqBuThAq/5NFe7JIpeyAEKlac+dPHQEJzpk17vosx0F7sIqTAydj4JQ8hUgtR2IqIuodF4ASu8DiT/RwjzlHcJ8yVejfMQGenp9vc7L/D8i7iQveDp9lV94ElLDIyDwgK1jBFexhPHt4uLs3wGcO3CoSmD8Yw4hwha5UO3XUjsShYQ2RkgZ5qbvPbC2Gllcj7y2iVAIYoflgFTkHFGWfYOcqQM4Uj/CfaErHWNk9kKNmjGE/R1x26qvHY/MqRDmgnNTKyQEE+mbu23cCTGSrOJMokdFWDZJ/p+8XJcyAE/frilsU87u/PReCKDKPusU8swQFIdERft+jp1n3dAibRdGca2z/XhrDeh/r2rBgTK+JOSHayCMZglMbOubRv1ojbYaqXs+n8wfJ2t2FY6+3vxh4GBtoL6fwVdWKizmDjFqbjOOkrwnaEEGI9VR4g7qX3sxZXYzmSJFIkYUJ3tU97sYsZGMKNMkSdmLiXIKRAJ4eZtCDIWkVGnCMMO0fwZO6J76tCpBuInCgx6Z0lMgHtpH4oWZcPwmeW5Kxl+UhhUXEmKNhDW+Jw1sS7lIlRJhmolKZkRSKxZSqmttvOJkTaUXNWiUB1UCJh3DuJLRzEXefYuHYyuLYaXHuzaJ6bZlLtgjgIIXHwKdjDxCZA6e0kR0oLpSK0ToXy0r/3j4zMM+ocZ9Sd3pemiMGkGSFsiFMZo9f0eNcn9PTu5fqzESIVwlpLRd8PsfJljlH3OB3VYC4MCPXjUkw2NJNlMjJPfp8uq1Rh12x6fho9+HtD4Ti91po679qvNA11TTAwHRv7zeAqWEMYR7Maz+zbFZgbOUZz/jKtxWvoZMMiqZO9755TNfESU95ZXJHZ13OFgY7xurjf5ufKFtIxyEvZ+DVQQ07nEAsxyFLb6/MNTY92Ut238Oj9EHcj2jeqVJ6bwMm5CEugY83yj24f8qL+CGDgQU4MYwxBM0RFChWodYKz5TvabCFKhwFPpjICU945MrKw97466Idp/1Trgn+b51GD2bGPbsylcl9z6Voma0+10EbTSuJHvmn8zJIcISQWLjmrzKgzvcW/aYxBEdNXLVaiGWrJAoHugUlT5rJWkSP+MxSsIVz2NkFW7HESHRLoDuPuCTbLom+eOLuqQT1ZpBrNp7s0o5DCwpM5xpzjjLnHcGU2DQ7c5fWHnSm6qk6gt1pplApQKmJ09Hn0gAB1u0v0evsPPj6TfY0hewrfurfy9E7YEiSIpq2qdJIaPdWip9rEJiQhRul0sEhh4QgfWzi4wsO38pTtcQr2SJpabTYI5F7ekxQWp7OvEOgOtXiBvj78gMKdUIsXUqFE79QDdZPuNWlHuk9XNwlUh0B36akmoQlIBsqlayTewsESNrZ0BqR4iJxVJmeVUp2YQdoo7J1sSSHJWkVO+C/yXucP90Ua46BN1K0TdWp7PvZuFO0RRt1pKs7Eno7b0j+Noqdb9FSTjmrQH6hBp0rQGxuUNTVqWzhYuNjSHWSh5cjJ9Nl6MovFdovu/Z6zMYZu0mAlnt3TPewWqh/Tvl7lo7/zJ4dy/icdOjHc+cHjKUexGUe9ZxhzT1C0R/Z03N1zaU836SUNOqpOO6mTEA1KNyQoEyOxUsXugep8ZpNkhS9zWGaDLux1/B/PPIdAoI166Ni8veIzS3IgjVL/XOEXUg2MAdkwxlCPF5gNP6Yaz5MMavSsdRcBtFWNlXiGMecYY+4JJrxTu75mxZnElRlC3Wenui9tVeV67x1aanVd6GvzjrCrmtTjRRaia0x6Z5jyzmLvMDnuhCF7kiVxc/s12wuDbKrNhGt/OzVHeGmGinMMW7h7Pj7UvZTcxXOsxjMoE69bI9YsD2z5UyBosnWv/BFSpGniZXuMI945claZnZ73/SE4k/0cd4IPmQ0uPxaVZEVCW9VYjG4w5Z594PcTIhrxMu2kRlfVaasq/bUUbrPVCrbZipNiMApU+u+V+M7AomPjycx65pEv81j7mDoc4THsHqFgD9PdhUjl3RDSYuTMF6gce5GoW19vd7c6R2vhyl7OxKhzjEnvzJ6uDxCbgK5qMB9eYzWeTWtMGcXdVrGNEbtmg737z039VWzUGctbQ1SccUr2KL4s4Il7K3/HJqSt6jTixT3fx1N8MnDce45x9xR5q7znY2MT0lNNFqMbLEW30rVskzV8x7l0fdpPZ9KZ4CJCWLjCp+KMc8x7jqxd2vWaswHBlHeGjJXno873HlhS6SDxmSY5CNYX4jWW2VUNbgUf0EpWiUzA3TmSax1CGU0tWUCjB+bEiV2xW0ekdURyltpimlYmoa86XOv9lGayQmzCHXe7a86HjqqzGs1gYXPEP7er23Wkjyuz2MLdYt527AyW7REEdQBcN3UvRdHerBeu8CkOBBDtPYinGZPWAJuPrlGP07TD0PQGRPBBpmCzbagycDN2lCLUPdqqxohzlBF3mqws7koeYO3duMJneKA3NBNc2tX9HDT6qsNKdIcp98w6rYM1V5Sioxp0VZPuoH5aZPqpxUtHxCbcg3l46+K89m9lEpSKmQuv0EiWKNsTjLrHyMrinnZ0QgiksRh1jhHpPmqPQoHdldtI28MYvcVdpeK9TZgleyQtHbLLTL+1BWE1mqOeLNCIlwYFcXfrxtzeQ832H5OoiEiHdFWdJXETR/p4MkveqlCyx8jcVaqjmSzTVfUnQovkKQ4WEoucVWbSP5uq7u8yLGIt1GExvLneP9YsjA9O5d55/GMStIlZjdM1quyMU7EnGHImd+3GWgvyz1sVpv3z3Oi/u4v2HAw+0yRnM8kwJi3auRLPUE8Wd+XjDnWPZrLCSjRD0R5Dmge/8LR44tZF1hhDpPusxjNU4/ldRaEnJqKtqtixy7h34oFaCWtCYt6g2OUWkuNk8fzSOsnx/VTCPq1CvtuOmKo2DztTe9L7USYh1D1aySqL4Y00xZ6DyVBYq+rc1+1BITmo2BPk7aFBrMmDB2dqEaowZEcsi9uE5tEHUiYmpJ3UCHQHT+YHhfGiQQHSFm1Vp6sadFWDjmpwGBo/GkVH1emrNpFOgwfH3ZODuLbdB0EKBBVnguXoFgF7JDnVOYTcTlCTPerkFO1hPGsPYooGWqrKSnyHerxAR9X3dL3dQqOITI9IpX1MYqULgz1EoLvkZAnPyuEJH0/maCbL9FTrUNryFI8XjvQYcY6Styq77qfaaBIT0UgWWYpu0lar20IT9guNJtRdQt0lMn0SEyKAsjOBNLubS4WQuDLLqHuM+fAqge49kljHzzTJ2QyNItRdbvc/3FMQX6h7LIRXOZ55Ps0g2kdg5toCcjv4cE9pdoHuUk8W6alWKhS3i2t7MrtF6VkIC88rksuO0Wqlvv1sdhQhJK3WLMbsbpdoC5uKPcGke3pX7VjzFwe6SzWe5Vb/g0ONe2kmy4SqS9dtcEK+SFaWMANF1gfBlzlK9ihDzhSL0Y1HHoSsUYSmRzWeZ8SdJtERHVVLS3bEMwMBuEezK1Ik1JNFOqqBLRzG3ZMI3D1ZdEr2KK7wBzE+u3+W/cb2+Agh5J7vvGiN3dcNtBnpzjhhpn+R5fjOI80OSUlPn1o8Ry2ewxYuWVmk4kwy5hyjFi8M5Cie4tOEtP5hkWn/2V3X8jPGpO7LpMrl7lsDF/XhzFOdQVxnO6nyrPwyWasEu9jgA9jCoTAQOF2JZh6J2+opyRmgoxoshTf3/NANmtAELEd3GHOP73ry3Ix6vJDubPdR50eZmKXoFtlMCcmDd9SezOKLjWDgcvkEw0PnKBSPkMtPAIYgqNNuL+ya4ABMeWcZcafTYOhdoqfbXOn9iGo0u69q7XtFYLoshNdpJqt8vvhn9xQz5MoMpzIvsxLdIeFR16hJLV43g/eYDS4T6M5jsShtRmwCPu79cF1a3t1Dv7ewKdhDBLpD967acXtF8ch5VNijs3Jr18eUnJFdV7lPTEQzWWY+uvrIzOv3a0tLrdJSq9wOPnisbXmKw8OaMrwvd5+0Eeoei9ENrvd/um61PkykFqNl3m7/Pq8Wfy51Xe+yoLRAcCrzMl3VJEq2h4QcNJ6SnAH6qsVqPLOvYw2Glfg2Q84EHnsnOWmByP1F8SujaMbLGF/vKq42rS+00cZWa4Yo6lCtXV0v5WCMQuvdDxRH+Iw5Jyhaw7ti82vZa1d6b9GIlx8JwVmDIqGnWtzov8uJzIu7JqUSi4xVYMQ9Si1eeKSBcylS0beA7mNKZ98OZRJu9t/jeOYFxtzjuzpmrX+slSN4EMmRtovl+sS9Fm6ukhbk3IT8yDRBa3XXJMcWXpp1t8sJOTR9lqLbj53g7BdOJYuOFKp7MEHzwpI4Qzmi1faTUPnkUwdbeFQGMW+7n0sT7gQfsRLfeSQEZ/3aGALd5U7/Qya9s3vKVPRlnoozSWJiOurhsyXvhydbUegRITERoe6uu0tymTFcO7euF1AqHEsrdN8Thk5STzMt9jDyjTGDuIo2od7fztygHygEthm2cLdYMJSKUCpEqZAoahFFLeK4i1K7s1YIBEPOJBmrgLVLUcPERCxHt2klK49FHEqRsBrP0FF1Yr276wshBvW3juDK/ZWmcEpD5E6ep/LaV7Cy+T1Xz5a+hxb6iVpw26o2MF/vzQrpyRzOLp6jkymSG54GYOjES5Snn6c4eXb9t1+ewPZ3t+MVpFWb96L5oU2ypYjvJwnSd8idncCb2Fkdfq8QtsQuZSi+MI2wnpzisJ8mlO1RcnYFR+xeAX81ukM9WaSvHr3MhSFNwGklq7ueA4RINbhK9ui+ssb2iqeWHFJl2dD012NxMn4F23KxYg8wFHKT9IMaSt17NxQM9DG0UXuS2+6pFqHp7duaYdCEujcQe3twjIk10EDY8pnl4Tj5fV1fYjPqHsMR3q4WDm00kQlYDK8/VpG9jqrTTJZxhb+rxXYNFXucJXmDrmruue1WNkdm4ijFCy/Tu30VHYUYvbtzCNvGrYwSLM9j1P37iu1kBgG6AmM0AkGSBKk2lO0hgCQJMFqnyqROBoREJQFaxRijsWwfKa1BzItBJRF6B+Ibm5COqtNJ6vju7vuQJzK7IovSdrEzabZffuwUSdQl6jXWf245/o7ByDtDDNTFdx8/pI0i0odrtZMZFyvjIGwrrdxtWySNHiqKEQjckQI6StareeswIekEg2Md7JwHUiIEJJ1w8F1JZnqI4gvTBLO19Hz9CNVL36FwLOyCj7AthCCtKN6NMInCynlpeywrjUnqR+gowS5myEwPUXr5OJ0rCyStAB3G6PDRWWI/3RAMOUfIydKusqnWrDiL0Y0dlewfFbqqSVOtkEtKe5oDCtYwbauGxDrUDMGnJIcB0VAbUeid3hKjQxcoZCcxaOaX336gZcOg6asOWVkiY+3+RTfj5UGq9P6hUUQ6wLHcHQXFNsMRLs5dJMd18+Ryo1Sre0uRFkgc6THunNw1sVtbFFf26Ro8SKxEM2RkgbxV2WV2gCBvV8hZFbqquWfrRbAwg+r38EYmtlQ5fuB1bQcnX6T0/GtE36+heve/7tD4BfzsEFI6xFEHaXlUFz/Ctn2Gxs+DkNSWPiIMmti2z+jUy9huhtrSRTrNeZKox9DYM7iZEo6bx+iExuo1mtWb7OSjaMWruCLDsHs0be8uSIQrs7varfbr8/Tr8wA0Zy/SWb1Nv77h2h07/2Xi/u6CbwUMAjl3D4O5f2XvA0DxuSOUXjqGN1ZExQneaJGFf/ojOleXEFJy6t/9Bp1rS9h5H6M03evLrPzBhwAUnj3C8JfOYeU8pGOx+p2P6d1Yxsq4TP3K5/GPVEjOjZM7M0bz3Tv8/9n78yBJs/O8D/2d8+251r71vszes2IdgAtIQtwgUqQgXUm2RAVD94+rSylkMcKhcIT/kCzbUtgRV3bYkq+urCvb8pVlLaRJAiBBECAIARgAg9mnZ6an9659y8o9v/Wc+8fJyq7ururKrK7q7mnUM9FAVVZ+S355vvO9532f93k2vn8FnWb4U2XGf/Yc3kQZy7OpvzNL5XuXCec3GPr4KUrPHcMdLaCilNob1+hcXyd/dpKhj5/EPzLM0f/oMzQ/WKD54RLNDx68YN6jAEe4jDlHDZG3Dygy2lmNtfvEabwbenOA050D+phPc1aRgjVEYJVoHVDHIhwGOQC0s5pRNO7Cd8tIYZFmIZmKyfmjtDvrZOrugU6omsQ6JKD/IKeerfddMrkbItXGl7ldS0aWcLBuM3tUKsWyXJ544leI4wZaa9rtNVZW7m566MkcE+7JgTJX1WSJuehC3+8/SNTSZerpBMP21EDKzCVrjI7V2BNRfDsIx2X0E5/DKZYRjkvablB96/vE6ys4pSGCIyconj2HNz7NxOc8ouV5wuU52nN3CjsC+LlRos4GYadKrjCO4xUYHj+LUilRp0oYVhk/8gLrS+9RX7/K0uyrlIaOEeTG0EpTq1zF9Ut0mqtUWh8gLZup45+kXrm2rapyRzUGbqt2pDewWOTa5VfvEKmsXH0D3acFicaUKgcp9hmV8dyBK16rLKN1ZYXF33md/OkJhl8+i/Rdmh8s4k2VmP1XrxAuVFGd2GT/NBSfOYI/WSacr7D0pTfxxouM/PgTeJNlFn/rVZZ+7w2GPn6K1uUVNr53GZ0pdKbwpocIjo8hpOTyP/oD3LEC5eePM/VLLzL3r77L+E8/zdKX36L+9o2eZ5VWmrjSJFqtM/zJ09z4X75N1o77zkQe4u6QWEy6p3Bl/x26kWpxtfP2Q6GT1FI17NSlo5pdT8j+4MsCI/b0YZBz0Ih1eIuarUaxUb9qPJ60Jh+MQR+liURHZAN6yHRUg3QfdGFSHaP6KZ8Io/S8NUXY6ayzvp5hWV7P1iFJducIeTJg1Jkxu+0jck9VTCurUktXdz/P+wCNpqMaNLL1gYKcgjVE0yqxug8cP+n6uEOjWEFA7YM3EEJi50uUn3mJtW//IWm7SbS6hHQ8kILa+ddI6xtk4c7ZP62N95jOkq4HmcCyPXSiSdMOKk2orl5GCEFp5CSOmyfLYhxR2ELsFaRJhzTpYGsfKWx2KvMY3Z6ITtYgkMW+qkFWz7NJ9M0xyo8dJ2pWSNo3OTJ+aZwsibZtL78dGk2iYwZhzNrCpWSP7dlvq19k7Zi0EaLChHCpip13sfKekSFMNfFqg7TRucXB2x0pgBRE601UlBKtNJCujXSN67dKMhOgJBkqvrnSd0oB/nSZ3Klxpv70C0jPxvJdsk6MM1wgqXfIWuZctkKnCp2afao4RacP/uH6qEAKizHnqFHf72MuzXRqJESSxYeEo6dJVEQ1XSZw8/RbEvakMUSePUAx+UPiMSbI2cpKz7qdRZa0sSzXPDD6GEebnjX9wKjVKmIVogZo1d4Jxv5g9yBnk0y9VZAwy2LiuEmW9f/UlkhcEVDsGkf2g1C16KjmAyEb74RYdQYWVPOtPL4s7Nmsciuk6+KUh7HzJaTlgBAIy8IplkEIdJqQthrE1TUT8KwsEG+skXXuJvLVtXDQGuMqKEiiFipLsJ0cjhuQRA1A4AVDBIVxLNu/0yg2y9Aq62sSNZNu/5ktY2UgjTFln8iPHsXxbzV79UvjuPl+ibWaTCfGqLDPcqEtXMr2xJ5sLAaBELeZyW6q7muNVgoVJbcEOLDFm2hzu63DUQNKGx7PDg9NIQQ6U6StmM78Bq1Ly7fs7nZoM6wQ1uFjYz8hulyxoj3ad9dfokI62YOXktiKjJRmujFQyOUIj5xV2pe5dCccZnKAREW3CAAqlTFUOt7N4Ag26td2vPG3YpAgBzSpjnveWPcKYwbYvzqxxIau3otlefj+COXyMTbDoHZnjXZ754yLLX18q0AwgMN4I6vsmwLnfiFW4cClCFcGeDLAEs49uz8L28HOl3CHRyk9/SI6TdFZSlRZvfVBvGnE2sc4VFmCUmlXCiBFZTHN2jy2m2N4/DGEED2OmdYZlu3ieEU0aosLfdrVSTKBknn/zuNLadX9bm96Ne362REDkQ6D8hSd2q2msW5hZOen8jbYvOcUfl+BiyM8Rp0ZfKtAJ2scWGnAynsIS2LlXIKZYdJm2CMX7xSQJetN7KKPN1pABi7euCEob5KLVZIhbBvpO0jfMVmYVJHUOkTLdTpzFVa++k73KzYlMBk42AUfu+Bh5VyzGNvM4CiFThXSdbACt/f77cHXIQaD8YbLD+Qw3lFNmupgW68Hxc1OxP7HgyUdfF3AFk43y7r/OAxy2Cwz3cxiTI48Q6V2mbnlVxFCcvb452m0F0l2ES7KdNb3JKi7uif7JTaRkfUdLJlVo+wdulCYZnTkMRqNedI0xPeH2e1BVbCGB8riAFTT5YdOoTXSbVrZ4C3CjvQoWENU0707tQOoKCTeWCVaXWL5T75M1roz4NJamy4p26WfAGL+yk3X6GZt/pa/bax8gJDWLTyW238HWLz23d7PadLhyvnfvesxNYpExwOEOIAQxhKiz1tAWNYd2SZpO0hrsGmslq5iC6evAF0gcIXP0/nPcqH1fRpZ5UA6Aq2cS/7MBMGxEZzhPAv/7lWaF5eR7s4r+8b7C8jAofBjj3Pmb/8c0rVZ/+YH1N+dBa0J5yrIwGHsc09Sfv4Y69+5SO31a0RLVYQtyJ0a58xv/jwA4UKV5oVFKt+5yPq3LjD86bNM/uILZJ2YxrtzrH3rAmm9Q7xaxxnNc/pvfJ7aWzdovL9A6+LBlvIedXgix7A9PdA2raxGNbm3uWe/keqEero+8BNNCouCNUItXemPcjEgfqSDnE0zs0wntwUnGtv2cN0CaIWUTncivvvXp3XWdxpco4h1e9/qqZr+ygqbkFt9u1RKnLSoN+YZHjqF6xVROjPtwzuUwApWuevs3T8aaYUwe7gyOamOiVWHVCdY2P2bzeGSk2Wq9DfRSC8gd/Qk+ROP4U1MM/yxHyNcmiNaXSRcWSB34ixjn/opEAIVR4RLczQuvQdaoeKQpLaBky8y/tmfJewSj8Pl+d0PvA1uD2j6Je7edZ/dUtAgMCnq/rMw9aVLlGYeY/jEsySdOl5+lLC+ckd2Z9f9pKsUrOH+ghwh0NpYUTye/yQr8XWW46t71rXaCdFSjfb1NSrfvYSQwvBz4hQhBB/+/d8h3UHMr/HeAu2ra72yVNaOei3dKsmY+9+/i7AkWilDFE5V73iLv/Ma0jZBlEpVj7dT+d4lqm9cN2UprcmixGSHlCZaqXP5//UH5vUwRcX3T3xuL/COjRM8PkPuyWP4R8dIqk2yZohqhtRfu4Q3PUzn6hLhpX3qEBMCGbhM/trPUPmD14iu7R4AutJnyB4b6DChanZ96h4eGPpFm0zHSLy+2uBNNleSt4aop2v0w30dFD/SQQ50uSy3Xdhacw7LchkqmPJNvTFHeheNnE0oVN+rPK01iRqMBLnb/vrflWmm3UQY1aB+gyiqo1RKErdIktZdAzZP5PuWHd80PzVlgoePrLgZ6A7SJSaF3bc1AIDOUpJahdaNS8Qba6StOmmzTtKskUUdmlc+wPJzCCnRaUrSqN5sM1eKLGxTffeH6CwlbdZJd2kjv//YW6v1IJX41up1sriDE5QATdKq064uEjUHS9vX0lVGnSMonfXnSC8EFg5FaxThSnyZZz1ZoJaskDGYAOhOUElG1opJ1m/9XjWaaHnn7KcKkzsIwluRbGy/qNCpIq1tT17P2jf1dLbbLl69/6Jze0XWaBPNrqHjlODkJPFSlWhuDdUKsQIXqxQg3f5ETPuCACElzmgJ6fY3nzjCJTfAgjHVCYmOB25yuR9QKDKdYgt3gHtb4MmcWWAeQOXznhhk//Af/kOEEPwn/8l/0nstDEN+4zd+g9HRUQqFAl/84hdZXr41mr1x4wZf+MIXyOVyTExM8J/+p/8pafpg+vwznd7xMG+0lrCkQ6lwlHLxGM3Oyq7t47BJJu43k2MG6wByKbvur1+Y9fPNIRjHDdrtNRwnQAhJkrSIo51LaQKB23Uz7xeJDlH30UhyEOxFC0UKayDlY50mRGvLNC+9x8Yb36Xx4bt0Fm6QNmqgFJ25qzQvnafx4Ts0r7xPtLrI1mulk5j6+2/Q+PAdOgvXzXYPEczIP9h24rC+Sm3hQzZuvENj+SqVa2/QXL1+S7dVP2hmG7RVjXhAArwrfYbtSY56TzDtnmHYmSRvDeGKYCAC9e3I2hFJtU1av99WIY8+0mqLzofz1L59nmS9Tvu9GzS+f4H6qx+itUZ6DvZQHmdyCPfIKDLn3VQiFwJnYsj8bXoEZ2II4djInIczVsKZHLq5XcEIK94O4drYQ3nsYdMJd8ffEdjCxR+g7TpRYXdx/vDNpbAp0zCADpgQ3QXjwZCP95zJefXVV/mn//Sf8txzz93y+t/+23+bL3/5y/zbf/tvKZfL/I2/8Tf4s3/2z/Kd73wHgCzL+MIXvsDU1BTf/e53WVxc5Nd+7ddwHIf/+r/+r+/t0+wB6TYrMdfJ4Tp5HNtceN8bohNt7OrnZCb5fr9c3SWt7tdA3ft+pHQI/FEmp55HCotGY/6unVqO8HGlhy37WwEZj5PmgdRb9wV6s9TSP6NEYg0U5B1if6CzhDRLSMO9Z7IUGdVkBU8WmHbPAP1JIJj3SRzhM+M9xpR3mo1kkfVknuXk2p45do33FoCFgbc7xL3DPTKGd3yC0meewhkqsPrbr9C5OE9WbyN9h4m/+BOGvJ1zyRpt1n7ruzgTwxReOIUzXEArjTNaZP33X6Pz4RzJ2pasmxC4U8MUP/E4CMHGH7xG1rw1kLWFiyN9HNm/ZlSk2vfc8HCQSFWCFrrvmEVsZnIOqNl7T0FOs9nkP/6P/2P+2T/7Z/yX/+V/2Xu9Vqvxz//5P+df/at/xU//9E8D8C/+xb/gqaee4nvf+x6f/vSn+cM//EPee+89/uiP/ojJyUleeOEF/v7f//v8nb/zd/i7f/fv4rqDCYTdK7aLiCdGz1GtX2N+5XUAzhz7aZrtJdJ9dEzV6AeuUrmJQn6KUukoly79PlorJieep1CYot6YY7vPm7eGBhRy07Sy+kMb5NzUT+kf1oCZnEPcO4ZPPEdnY5GwfrPrr3z0qa4L+fWB9rWWGJXYsj1BTvbfIbgVm15mw840p/WLrCfzrCbXqaWreyKzH+L+Q4cxjTev0Hj9Mt7MCCM//zHSaoOs3kZ1Yhb+p68A4B0bwz8+TvHjjxPNrwPQvrjAxldfwzs6xtBPPYeO4ptBjsoovnjaGKOmGetffnVbXSFfFgZyGwfTWfVQBzkDdgxvkvsPqo18T0HOb/zGb/CFL3yBz3/+87cEOa+99hpJkvD5z3++99qTTz7J8ePHeeWVV/j0pz/NK6+8wrPPPsvk5GTvPT/3cz/HX//rf53z58/z4osv3nG8KIqIopucmHp9/zp01Gab7BakWYQlXXy31PWDkjh2jsyJUSolzfZH58W0fT94KJ2iVIrvl7vqxw5CSDyvSJYldwR3vswPpBsikIw5R8jJ4kMT2G2FJRwK1u4dZVux2f58iPuH3MhRkk4TtgQ5fmnClKsGDHIUGa2syvXOOzyZ/zSGij/A99/N/BgxQzMWhp1p8laZULXpqAbVdImNZMloYT2EXLRDQFJpkNbb6Cghq3eQvmsEMaXAynkM/cwLqCjBLuWwCgGqY55Dab1NWm0ZH7F6B+E6N8tVApyxIaxSns7FeWrfeW9H4URXBjhisMXSsD1FIIsc95+5p89+EBAISvZo32bNm7D64MbtFQMHOf/6X/9rXn/9dV599dU7/ra0tITrugwNDd3y+uTkJEtLS733bA1wNv+++bft8A/+wT/g7/29vzfoqfYBbYTBbg9y0g625RH4o4AmyxJ8t4QQgiTtkHb2I8jR3ZLQgw9zVJaQqZggGDWtytL4++RyY8RxG6WSnhIyGG5CP4TNTQghCKziQJo6Dz9EX90DDxuMEKSD7CoOSyRSGFG+TXdu0SWmbwpHIjb7oDYDge5fBN0Us8CVHkVr7AAlvcDxC1j2rRlE28uRJXu7H2MVUknmqSSLlO1xbOnuaTVprpExHfVkQE6XSfQInszhS6OvE6k2oWoTquYDMqU9xHZQYWI0gLRGZ5nhzQiB9F3cyWHcqRHCq0voTJkONmm+ax0l6G43mk4zo9V0S8lTk1YaqDDGGS3RsRYhu/N7d4TbNY3tH76VH0ih/eGHQBzggnGgIGd2dpa/9bf+Fl/72tfw/fuXqv/P/rP/jN/8zd/s/V6v1zl27Ni+7Hu7CSeKG3huEd8uARBGVVyngJQOQtRod9b25dgPS/kmUzFZGpPPT5B1Xag1miAYQ4gqYbgBWzIwjvB+5LMYD3smR2wJUoTY/FliCZtAFrCF4QHYwsURDlK4WMLCEpYJgLBN8CNk93dpgiJhdZs+zd9M273s7vuAr4dWCNvBcgMTjAur99n2AkVGS9W5Hr7D6eBFCmIEm/5k9e8GS9hYwsZ380y6J2lndRpZhUqyyFo82yXhZwN1Yx7ioLB9V6qV83BnRlGtDs03r+BMlAlOT2MV/Vu33WGX6UaT6jffRjg2pc88TfuDOdJq8w7hRFs4Awc5jyI2LV4OAgMFOa+99horKyu89NJLvdeyLONb3/oW/+P/+D/y1a9+lTiOqVart2RzlpeXmZqaAmBqaoof/OAHt+x3s/tq8z23w/M8PG93x+K9YDsmeKV26UCOtRVGtf3hmOCSpEMcNxkbe4rZue8ihUWWRTSa25MhXZkbKJPzSOJ2Gf6HCK4IyFkl8rJMwR6maI3iW3kcEdzhQP9RQnXxAuWjTzLxxMvErSp+aYLa/Ad9+VbtDM1aMkeoWky5ZzjqP4m3z4TyQBYJZJEJ5wQq+AQbmSljVZJFqun22etDPFikjQ7h9WVGvvBxnPGyyfgkGVmfWXytIa21iVeqqChh+v/+cyz+z39AWrmVMG+LwY1qH0U8NLYOP/MzP8M777xzy2u//uu/zpNPPsnf+Tt/h2PHjuE4Dl//+tf54he/CMCFCxe4ceMGL7/8MgAvv/wy/9V/9V+xsrLCxMQEAF/72tcolUo8/fTT+/GZDjEgcrkxiqWjrK6eRwqLIBghTTs0mktsJ87kCu8wyAEOquVxUASyQN4apmSPM2SPk7NKvQyL3GKEuVmO+qiiPn+B9vo8tpfDcgOysEXcqe+5XLUVrazGbPgelWSeE8GzjDpHBtJNuhs2r7nWGikshu0pStYYR7wnCFWD5fgaG8kS7az2UHLWHgloWPinv0/WjkyZSWta71yj88GsEUHMFEmlyeL/5w/ImiE6TYkXKsz+t78FWde7sGvepZIUYVmQZaA1abXF8r/8BrrrL5a1Qhb+py+RNUJ0ltF69zrhlSXS2p2aRbZwB+avPIo4yHlpoLu4WCxy7ty5W17L5/OMjo72Xv9rf+2v8Zu/+ZuMjIxQKpX4m3/zb/Lyyy/z6U9/GoCf/dmf5emnn+av/JW/wn/z3/w3LC0t8Z//5/85v/Ebv3Fg2Zq7YtMI70HgwdNxABDCwpLmoeg4gVF6FoKdTvAgU4uH6AddQz9rxHQHWUU8acQZfVnAEe5Hki+0G6Tl4PgF3FwZ6fgox8fJlYmaFcLavVkLaBSR7pBlKbPh+7SzOkP2BDmrvG9ddJsTuYUpZznaw5Gm9Fu2xmmrOo10nY10mVRHD60OykcV6cZtQotRQhZtkQVR6pb36DQjXd++yUVz63bZ1gBG61syNjpKSKPt5UekMJy4QzwkQU4/+Ef/6B8hpeSLX/wiURTxcz/3c/yTf/JPen+3LIsvfelL/PW//td5+eWXyefz/NW/+lf5L/6L/2K/T6UvHE4kkGUhSdLCcQIy5QAalW3qxtwJOWAnyiH2D47w8WRAIIuMOkcYd4/jydy+ZR0eZgTD03iFEUNA9vNkcYi0bISU9xzkGBjtqrVkllA1iVWbIXuKgj2EJ/NIrH1dcQohcHAZciYp2+NEqkPVWkYIi1ZW7dqNRA8Nd+8Q+49Nwv8hDg73PDN+85vfvOV33/f5x//4H/OP//E/3nGbEydO8JWvfOVeD71POAxyms1l4rjJ+NjTuG6BWu0ardbOfkCbHTWHuL+QWEy6J5l0TzDkTGKLB5D5fICYePxlOtUlkrBBbvQI9folvOIIYkCDzn7QzDZoZhu44kNGnCOcDp4nsIpY2pQW9ju9LoTEt/JMWqeY9E6xHs+xmsyyFs/SVg0O56mHDLIb8Gp9T95v8jDIOXA8+su/Q+wKrTOiqM78wg+6v9+9hieFfZjJuY+whUvRGuaJ/MvkrSEsLH4Ug8w0btFcu0Hc3MAvTbJ2+VWmnvqJA+WHxTpkOb7CanydYWeKEecIY84RivbogR0TYLQrMngqeI6l6ArXOu8Q6/ChaVb4KMByPGRXciDp7N1vy3J8pO3csp/ixEmcoESWxtRmz+9536LbwXiIg8NhkLMN8sE4hdwUnlvsrdiWVt8mSj46xnT9wnWLFIszFApTmAenpla7Tqu1SpLs5Bh+uKq8Xyhao4w6M0y6p7oBTn9O6fsNvdkPqDOUVqb9WSsUKUorBAJHejjCP7Dz05kCZR7ylusxcuJ5/KEpsmR389x7Om5XnbyartLO6qzG1ynZY4w6RynaI7gyQO7Tary3eBCmkOESMOmeJmcNsRrfoJou0cw29uVYjzKk41GafhzLC9BZRlhfpbU+B1ohbRfbN15Rtpcn6TRIwwaW46EBlURGHsHLkSURpZnHjWxBlt7cj5BIaSMcSWH8JHGnThq1UHsYiz96y5X7i8MgZxsU8lNY0u06j5sH+qO6girkJ3GcvFE11hqExPeH0VpT26YbADbNGPuH0opaukKsOo8Mv0CREan2gR4jL4cYd48z6sxQsse7mjf3NiVumsimOkbplIyUTJt/JnDJtgQwRi/JZPZU14Iz6wloKp2hu++1pcuQPcmQfXD6Wc3V68SdGlka0l6fw/byRI01otb9eeinOiLVER3VIFRtEhXTzDaM0KUskJMlbOHs28rcfN8Wvsx3CcoSV/rYiUstXTnkE94F0nJwCyNYro9KQpKwwWY44eRKlGaeIKqvIm0XlcZkSQevYMRQo8Y60nEJhqfpbCzhFUaQjkcWh1hb9iMdD9vLkcYdiqUxOhuLtDcW4S6+f7fj5v3VP2rpapevdXcvxY8ONLGODqyz8DDI2QaFYJJK/Qq1xhy66059N8PKjzJKpeO0O6usrLyNUhmW5TA19RLF4gy12vZS+WpApWaNYiG6SCVZJHuIPVcGgclrHNxDxsJmwj3BjPcYeau8p33ortCZRqEwqq4KRaYT2lmdWHWIdYdItYl0h1TFpDoh1QlZ958iI9NZ15Zg588byCIysCnbEwdWyqwtXDAcCBTr196kOHGKsL5K0tk/m5d+oNF0VJ1OXMdKbAJZZKSbbQtkEVs4XTVpU0a718BUCIGNw5hrMkd5q0zYbhKpziO7+Lo3GAFMKS1jvpsm3WyfGb9ecYyxs59g9cIrZLGxrJHSxh+aRKuMJGxie3kK4ydIWlWEtE3reBrfsh/L9fHL49QXLzJ66iUEgrC+hkr7z+YY4dXBvsPl6Bob6SKd7ADHveiqOyvTNo8UCNtCWBYqTrZVb97cTgYuOsluybzuBrPwOpig7TDI2QZR0sC185Ty0ySpcY3tx4X8owitM6NWa/lYW6gN6i6DU5EN/IBXZMS681Abyz0scITHmHuMM7mX7llVWaOopItUkxWaWYVmukFb1T6SWYDTP/YXSToNmms3qC1coHoPXIj9QqbTHkn5Rni+19Y/4sww7h7DYn81UFwRMO2eIWeVeL/5XZrZxqEv1h3QJJ06UbMCQpC0arS2eJvpLCVt11m7+P3ea5ab23FvcbuKVhlxq7plP5qkXSNqrNFcuUp+/DhZFuP4BaJm/0GO6v432KdTJDoi0p3d37xXCIEzOkSyVgOlkIFP7smjeKemqf/JWyQr1R23G//Vz9B64xLR7CpZ/QDPsU8cBjnbIIobuHYONz/dSyUmlTbxIxjkZComlx/DD4Z6r0np0rmLdUVGMvDqw+LhICu7Q2MUTz1N8cw5lr/zZaL1ZVR8U0yucPJJ8kfP4I1OsfjHv0XSrPW9GtkPOMKjbE/wWPDxPbcsxyqkmi5TSRapJAvEqmOUvbeUoD6KuP7938IrjuGXxzny3OdBWLTWrtNam6VdmX/QpwdAM6vSVg1W4utc7rzOqDPNkD1N0RqlYA/d8/6FEGhtuFpncx9jIbrEUnz53k/8EcSm9Ye+/RbS+hYvvu6L3TJTtxQlLWwn6L0fuM2byuxfZfcWYBpO22D7sLqecwcF4djYQwXKP/0Cld99BdUaQGxTadb/r+8Yb68dTEnvNw6DnG0Qxw0Cbwjb8qi3FrEt95EtV1WrV7GsO2XFk2TnCDxV0cA3piO9hyLIycI2nZV5imfOIaR1x8QVV9dwCkN4o1Pm7/f5nIv2aFf7ZnADPqUzqukyq/EszWyDjmrQyeqPDA8qbtdQWUoWd8jikMLYCYqTZ9BKDRTkbGbHdJdltFcI5B3baxSZVmQkJFmI1opmWsO3CuStMkP2BAVrGFt4exaBE0JgYVOyx4hUh1i1qaT3Ym3xaCLp1MkNH8EvTWA5PrX5D27yZW6L87XKiBoVhk8+j7QdLNvD9s09GLfrBEMT+KVxLNszZdNt9rEXpDohY7DFsy3cA+solMUAb2aM4ImjBI8dofTZZ4gX1lFhbLI7k0MUPvEEKkoQUtB656rJ6mQKmfPwz8zgP36E1huXSZYqqCjBnRnFPzkFlkRIgfRcWm9fJlmtoeMU4TkUP/kkCIE9VEDYknipQuOV928GmPeAwyBnGwgpQQiUzojjBtLbGyfio4Bmc3DvnETHAz04BQJHeHvSg3CHx407MBohLbI4Iuu0kI6L5ecQljFpTNtNVBz2NCuc4jDCts3RpSSuV9BpQha2CVdmSVsN9DYZmri6hh0UyE2f7L0mXQ/peGiVkXUMGVt6AU6+RFTZDxE6AwubkjXGiD090ANQo0lVTKdrEbAUXSZ5BBVzLTfAsl207pYKmutYrj8w0deTOWzhonRGS1X3di7YeDJHrMMdS7AaTVvVaas6MrXwZEDktontkMAq4nZdy/dqt+HJHGV7nERH1NLV+24JIXM5ZC5A+B7J8gok3eNLiVUqYhULpNUaqt0xFgj3GXGrhlcYxS0M4+bKvSxYlnTo1G/VAdNZaspbWuF4eRCCuFUlS2NUawM3V8bND+PmhxBCkMUhibC6oqmQtGukYav3e78w3LfBvjdbeMgDenQL28Yq5XCmRpA5H3usTNaOoGYUnK1yHme8DFojfY+sE5FWGsal3bawh4sUP/kkyWKFbKOJTjKciSHyL5wha4foMMEeKpC1OmTNkCzNkDmf/EuPkSxv4B2fwCr4iAseje99cBjkHBSGi6eI4jphXMeyPHLBOPXWQpef82g9OPaCWHUGzuS4MuiKZw12rMnP/DxJs47OUiw/R3vpOo1L7+JPHKV44knsfBHpuNQuvEl78RpJw3TaDD/7aZzikFmV+QFL/+HLxBure2rx9EanCSaOoOKQ6oU3QENu+iQjz3+WG7/zPw+8v51QtEco22MU7OGBttNaUc9WuRGeZyW+sW/n87ChOHWG4sRp/KLpgtm4/g5zb/4B6YAaKMP2JCPWNImOuRB+f/cNboNA4lsFpp3TrCQ3qGc7l3Y3ocjoqCY3wvPMc4GiPcqoc5Qj3mN4MgfaBGqDBjtFewRbOCzFV2ika/c1sPXOnCR4+km80ydY/ef/knR9A7IMGQTkP/ES+U+9RP3r36Jz/gNU/f7Lb8StDdavvH4zW9vN4rQrC7Qrt5oPa61IOnVmf/h7ICSmfHXzWkbNdbh6cz/t9blbtq9cfXNP55iomFQNxlN0pHdgCufZRoPOhVlUJ0IrReX3XkE1OsiCT+6pE+hOTO0bb5Ks13GPjDHyS5+m/dYVsighq7epf/tdcs+cQIV3Bnut1y/Rfu867vQII7/yWcKrS6gwxi7lkIHLxh+8SnBmBvfoGPFSZV8CHDgMcraF1grHySGEROmUwBvqZiEOAxyAULUGWn0IBDlZ3gOJVuAUR2hc/YDmjQ9J203QGn9sErc8Qhq2WP7Ol3HKoww9+RJ2ocT6638CwMr3vmosKT2f/NGzFI4/Rj0OiauDBznh6jw6Sxj/+E9Tu/g23tA40nFpXr8w8L7uhin3DIU9iMzNRx+yHF9lPdneNf7+QHTVWw8OjlegOnueTm2ZLGqbEvIeJsKF+DKO5+He5jZu4+DJHHlZppqtdrNh5sEYiCI5q0iiTcZsKyxsfFnoEet3CzSM5s4ytXSV6+E7HPEeZ9I9Rcke3RNR2ZE+p/3nebf1J/e1rbjz7vtkjSbCc2+ZGlWrRf0bf4I9OW6yOA8UevAxsh01YReB1L0i1h1iPZjBbCCLOA/CuVxrooU1VJdvo8IY4Tl3lPy3Q7xUIWt20Jkia0dIz0FIYXy9Nsy8PvYXP4f0XNJKnc433zoMcg4Sq5X3yOcm8b0SFi5La28TpzsJ4/3ooZM1yAaaTAWBVdxDHdlIpqftJlm7Cd1SlJ0r4w1P4A2PI8RPI2wHaTvEtXUApONQfvLjSMcFIXBLI2RhZ8/6JTpLUVGIShOk6+GNTyOkRevGxT3tbztIJCV7DF/0z8XRWtPMKqzGN6ilqzzIIFzAPXeC7Ybq3HnUZjvwPXHk7lR68kSOkjVK0Rqlnq1x3H2KtXSOpqriCp8Z5ywNtUEgi4zZR1lOrwHGAd4RLgVrhNno/YEyKRpFqmOW4ivU0zVK9jjT7mmjiTRARsfCYtiZIpClwZzMbYvyz/0MzW9/D+fINP7jZ2j94A2sUsGUHxwbe6iMLJWQtkU8v0h09RpZtdu6rLUh5W/3MMq6rx+uC++KKGsTq8ECQV/mD9bSRYNWGuk6d/Io1R6DPXW3saARlqT+rXdQrRAVxWTN/QuOD4OcbaAxHVZpFhrH7UfcdduyXBwnh+/fLJMkSZtWa3u+SahapDrpdi/0Fzg4wsURPhb2QNwBrRQ6S2/xh9EqQ2cZKktJ22ZVncUhSW3dBDXlMZzCECoOScMWFE0dvZ8Vx/YnocmSiGh9Cbc8ipMvk4WtXmns3iHwZAFPBgOnodeTBVpZ7YG35gshsA/YJDRpH5wuSCCLuNIn0wkd1WTUnsGVAQEpgSySdcUfhRTkZAkLG0d4FK0RItWmo5p7JjFHqk2iou6KXmNJh0AW+x4LQkgcfPLWkOmk6zPLKoTEmZ5EeB5WqYAzOYEzMY41XCKrNQzHYnyMdHUd8gFWuYR74jid6rt7+pyHuBOx7hCrsKca3k9wawsHR3rYwj2Q+14nKaoVIgOP4OkTJMuVm51SO8U4lsTK+bjHxrGGC3jHJwBNurYlIN5uQykRrt0jHWeujZVmWHmf8MrivgTJh0HONsgFY3TCCq3OClJYzEy8RKuzQpoNllb8qMB1CxQLM5RKx3vNRK3W8o5BTqTbJDoiI8Pug0wshEBgEVgFOqpOdkf75mBI23XiRgWtMuqX3gZuBj5CSNyhcbTKCCtLxJUVpOti+0UQAmHZSC9AWBaW62G5HjpN0FlqhKxsB+l6CMtCuj7ScVFJhIojWnOXCaZPIF2fpFnbE79nOwgEBWvIeIL1GYjprijeSnKd+CD1MvqEQOJIn4+qSH3OKqGBjWyZlqrSUjUkkpwsk5MlNrJlGlmFjBRHeDjCw5MBPgW0hvn44j3xYRQZraxKO6vjyRxT7mnjfD5A9rFkj9LMNoiyfpW4NaQp0vcgU6hWG3tiDKuQI2u2QGuE69B+612schHv8TP4Z0/TeeswyNkrpDT/0u4UmGgT3GY6xRb9lSqlsHBlgC8LNLPKvp+jihLSahOdZRRePEt4dZF4cR0Vp6hOaBo2tEanGVmjDUqb+XSoQP7500jfxTsxgXRtosAja7TJOtHNQClTZI02OlVI38EuF8g6MblnT5qFqNaoVkh4dfkeM7YGh0HONuiEG5SLx8gFo1jSY3H1TWN78IgiCEbJ5ye5fOUPewrPuyFUTULVpGD1T5ItWmO0swahurfSX7S+jB0UcEsjzPzMnzPnszJPe/EarbkrtJdvUH78BYLJo6SdJjo15Sbp+uSmT1J64gX88RlGnvsM4doineUbNK68h+XnKT/xAvmjZ/DHphn/+E/Rmr9Ce/6Ked/KHKMv/jjtxetElcG70naCQJK3hgYq92gUoWpTS1YeCjE4ibEf+Kgi0ymWsHrZE0vYpDruKT/b3QBUIrGEjSIlVoazo8kYsadZS+d2Ocru0Cg+bP8ASziMOUfIDaB2XbYnWEvm6Hc4aK1J1jdwTxxDxzHR1Wt4p06CbWEPDyFdF+/0SUb+wq+aoLoTkqys7LrfQ+yMiQlJIS+4dPnml5ToiJaqUrbG+95PThYp2qMHEuSgNVmtxeJ/91t3/Kn99pXez8nCOkv/w+/0fo9nV1j7P7YfH+23r/Z+TtfrLP2T3wPAPzND7vnT1P7wNToXbqBThX96iolf+1P7tl46DHK6kNLBtXMU8lMIYWFZHiCQQuB7JdrhGo+I3EgPUrq4bh7bNgTMcukocdJCa02WxcTxzuWBZlalmW4MFOQMO5M0snWqaf8BwuyX/7dbxPo20V68Tmd1HtHl+WiV9lrN02aNhW/8+67fqCEeaq3RaQJCEK7Os2r/YS/7s1kKy8IW1fOvUvvgDYRlmTJZlqIyE/gJIZGOR1RZIlrfv9ZxIQQ5qzxQi32qE2rpCg8D6UFi4UgPXxYf9KnsAoEnckw6Jxi1j2DjcMI9x0JykY10iWF7kmnnDCPWNJ4MqGfr1NM1mrLKGf95hq3J3ncUd1fglXSBTKfMuI8RqgZt1dyXoPNGeB6N4rhV6rtUnpdl7EEIqUqTLCzhP/UYydwC0fVZ3GNHEVqT1RpkWiNL81R/9/dv3kc7yfkfoi+8+LzL6VM2ly43e6/FqkM1WR4oyMlbQwzZEyxG+8cLfBBI1mtElxcof/4lCp94AmFLVJxS/cabXf7PveMwyNkGWmfEcZ00DZHSMuqY+8T0fmggwLZ88vkJHCcwXWTBCK5nHlRRVL9rkNPJ6rSz2kCHDGSx2xngkej+Sj1Zp7nt65sByPZ/1GThztmiLEsh2qbEo7UpQd1WhrILZbyhcfzxaTorc72W9v2CgK6xY/9LF5PJaT0EIQ640seXhT2L290/GGPSarZMRzURQhKqJplO0Wjq2boxLkUhMtEj8WrVYSm+2qMra234OavJ9S4XR7OcXCXS4b55SYVZk1ZWo5M1yVn9BY+2dAcjf2tNuraOVXiBxLJQ9SYqihFSkG6YdnBnZorcc88AkDVbpOsVkvlFhOfhHp3BO3MKe2yE4NmnSeYXSNc30HGCd/YUztgo6uwpZOCRLC4T37j3TNd+wLahUBC8/CmPwBfMzmVcu57Sams++XGXIBCEoWZ5JeP69YxPfsIllxO025p3ziesrytOHrewbcHqeka1qvnkJ1wEkKaaUlkyVJJcu56yvKJotxWf+wmfRlNx9oyN590mQKpDGun6QJ/BlQF5WcYVwUNRrt4rVCsiurFK/Vtvo5MUpEQnKela7bC7ar+htSJTCVHcwLEDkqSD6pZuHHtnX5NHAVkWo1RG1rWtkNLBsu5eHw5Vk45qkOm0b/sBV/rkrCI5q9zNQnw0IC0byw+wC0M0r77fEwTcP4iBCcdKKxL1cJRQPZkjZ5Ue9Gn0hYyEerYO3PlQ6agGHdW4Q8lYkbGeLiAQ3aDS/G9tiz7OfisOZ6REWZtO1ugvyBEmoyaF7J5nHw8IrUk3qiTLa2TVOlm7TbK0DEKQVaroLCNdXsEaHuoeQ6Ba7e6PwggBWhbp+gbCc5G+j3AdUNoIAVY2jO+R7yGDg3OnHxRCgOMIjsxYTE5I8jkjEnj1WsqnPuFSb2hWVjI6Hc2pk4JjR21cFzodTZbBd16JOHrEwvMFUaypVjOef9ZBCGg2NUEg8DyB7wuGhzPW1hSnT9ssL2fkc+IOl5hURT0PMqn7m0tt4eDJPAVrmEpqCOsfRegkJd1okG4cnI7SYZDThdYZSdomSduMls92xQCrgGBs+HE+qoTKHaEhjuusr9fxvDKuW6DRMNL4udwYu33eWIeGX5O1BnrAFaxhxp1jH6kgJ66tE9fWqV9658COIRm0g2/TtffBT245q0zRGlzfZxAIIc0n3UpEFKLrEK1u6b67V+yUjbnfCtKJjuioOjCz63s3x46FjYVN2qdVgKo3qP72l3q/t1559Za/N2/7vbddGNJ55z0677y37d8bf/Kdvo7/IJAksLGh+MM/Cjn3jMP0lMWzzzjMzmdMTVn8/h+2ePudhCAQ/M3/Z4GvfDVkbi6lXJL8rb9R5PuvRhRLshfMAExNWggBs2nKhxcTXnsj4df+cp6nn3K4fj3l638cMjub8XN/yufUyVsfuxlp14LFZO1En9k4V3pMeaeppssPBS/vYcXDnl9+ICgVj+C6hkQphKCYn8a2P7qdI3eHwPeHKBZmMJ9PUCoepVw+0eO77IRQNVmMLw10tII1wrh7El8U9n7KjyQG1584SJO+fmHjULbGGXGmD2T/lhuQHzvO8U/9KtPP/jS50aMgJMKyGT3zcc5+7q8y+fRPHsixHzQ02YB6VJsKQA8+8H2YcfSIxa/8csAv/ryPFKbTSXbjjuWVjCg0108A+ZwpXUWRRilw7JtUPwDLMuUv277ZNbW6pghDw2GybfB9QaulaXcUcaxR23BNMp0xH384kJijI3ymvbMEsnjgGlUfZRxmcraB1op8MIFl+WiV4rvlbgrx0Zs8isUZhsonKRZnuq67hqTb6ayjd7FuiFSH1XiWU8HzfadZhRD4MsfJ3LN82PrB4Qqki4xsoNElkNjSpTvlHtBZ7Y5x9wQFe+TAJtnc8AzDJ56jsXwZJzfE0NGnGDn5ArafJ25usHrx+3Sq+9fp9jBBYg8s+qa6/x3i7hDA0SM2rmtyYI1m9x7aolkXJ5qvfT3kZz7nIaVHGMF3vheTZjA3n3HuKYe/8OdzXLqc4nuCZut2s1ZYW1O8/W7MX/hzATdmM6anLJLkzvtVk7EaXeeY9wSOdvvTHxMgtcWJ4Bmuh+dpZdV7uCKPLg6DnG1Qby5gWR6O7aO1ptacI8v2RxPlYUOWRYRRFSltwrAGaNK03f15l21JCVXDdFnZw1h9DCeBwBYOo84MRXuUVlZ94EJ2Dxp6s/Skdd/JQiEEjjxA1dM+YAuXUecIOVnck8FkP5COh+0XaK/P43SalI88iVcYpr2xSGdjkdb6HGm4PTn9ow5L2Lgy2P2NmHbwjBSls30jPz+qaDQVly6nKAWNhiLLoNXWtNuKH74eU62a65dlcOFiSiEvcT3DyZmdy1AKlpYyPFcgLVhZVbzSjOh0NJWqZmNDoTW8ez7BkoLLV1Jmpi0qFUWlomi3twtyNB3VpJluYDkOntidB7pZohxxZthIlkl1QnSP8hyPIg6DnG1QqV0mH4zjuSWksFhee5dsQBO1jwra7TWSpEPdnqPTMWTM3cpUN2EezmvJLL6V75uALIVFXg4z4Z5gKcpoZhs/2hOzhkQN5hq+qUtzkwx7fyGRFKxhRpzp+6CPo0mjNlkSUpp6DJWmrF9+DZWae1JIa185OQ8DBCaIDaz+r22iwl6zxCF2Rq2meeOthHfPJz3j9E380TduLma1htVVxR98LWRTMH2TNLy6plhbj3nzLZPZ2Q7f+e7NZ8a/+fedzS78HaFIqaSLuDLAFUHfmfG8NcSYe5SMlLU4PMyO34bDIGcHtDqrtDqrD/o07guSpEWS3FwB5HLGO6fZ3L1jRJFxPXyXUecItu32lc0BQMCp4DlAsxxDfcAWykcJGkWYNQYK9CzhMGRP8iB4YgKBK3M8lf8snszt2ROsH9hejvzYMY594s8A4JfHkZbLkRd/ofee+uKHrF/+4YGdw4OAJ3MUrGEK1kjf27RVo2/C8SG4I8C5G7YLULRmxwDndtzeUbUTFqIP8WWegj2CPYBZ67R3pmtLEj9go96HD4dBzq4QDJdO0WjNkz5KJSsBvjdEqXysK3x4E4XCJGFY6yvIAdMFshBfYoqMEWf3TpCtJ3HMf5qiNcqN8LxRa30IYST8c/gyz3oyv+/ETo2mqTZQA0iYCwSO8Bh1jlBNl0kGdDLeKwSCEWeGY/7TFKzhA/d0qy9eJG7V0F0rECElIG7J3CSd3T2tBBJHuIw406wl82Q6eagJuke9Jxl1jgy0TS1dGdjs8RAPFxIds57MYwuPo/4TA2wpGLan8fNFPmx9n/VkATWAR+D9gsQikAUCq0gtXe1bL+1ecBjkdCG7KseW5eHaAZblIaWNEJLh0kk6UeWRCnIEAt8vG62MpNPTyAHwvHLvodIv1uN5PJEjkCUCa/fOqc2Hoy1cSvYYx/1z2MJjPZnvDvwH6agtsHAo2iMUrVFyVhlHenSyeneVtP9BTiurkdG/6akQArRkyjtNqJok2cFfMwubCfckY+5RhuyJvg0F7wVp2KKdzd/1Pf0IM5ryj88x/xlGnCO0siqtrEoz27hnm5H9hEAw4ZxgxJkhGFBBup6uPTTaSYfYOxppBUs4jDjTBH3y3QQCKUwAccI/hydzbKTLtLPaA6cCWNgU7BHyskzOKpO3yrSzGq2sdhjk3FcIiZQWlnTI5ya6vBSNQOK7Q8i+eSofHWitiaIaaZaQZTfrx7blDVzbb6satXSFvFXGlzno8wEoEHgyx6jj9WrJraxKpNo9V+b7AQu75+xrdzM3Q/YEQ/ZkV7tCsKpnD4gDo4lVm0h18ERuIGn+YXuKir1AoiNCdTAE3M2sUckeZ9I9Sdkex5P3RyDT9nJ4pTFQCpWZIPB2pFGrx8/ZGYbwPmxPUbLHaGYbNNMKflqkmVVIdEiqEuNX9QBWwIaQ75KzSkx5pylYQ30Ty7VWJDqmlVVJfsRJ/I8CIt2mnq5RSRaZ9nL9d652RUVH3SNoNLZwqQqPjqoTq859y1yarkAXWzjY0sUXecrOOEVrlLxVJpAFluKr9+2ZehjkdKFUSpJ2yLIE2z5Du7NGJ9xACInvlY21wyMErTWNxpwxGLyt2KxUzF64HhvpEoqUUWcGW3hodN/lDCksJt2T5qGdLLCa3GA1vtETvNvfG3TzrMSWFVCREWeGsj1uuBD2UO/vwIGvkBWKRrqOKwMK9BfkCCEIrAJHvMexhMNc+P6+kw5NmcdjxJnmsdwn8WQOa5vJaev3s58lrNL0Yxx58edRaULUrBg7j81AR5txUZ+/wNrl7UXrbocQAhunG8BOcERr2qpOJVmgnq5Sz9ZoptVNA4dbFI4PBmaMucKnbI9zIjjHsD09UIYsI6OWrhCq1iHp9BFBpFpcDd9kzDnS7bCTA91Xm9nWlqqxEH3IUnSVVMdbdJT2a0zfOpeCIG+VKNkTFK0RSvYoQ/aEEe7svnO7hcpB4jDI6UGjVIoiZX7pB2ituoNBsLj6BnHy8KS09wtqBx2cON5bRiDVMdV0lXdb3+Jc4XMDEec24QiPSfcUE+4JklzEajJLLVmhmVVopTUS9p7edEWAKwMCq0BBDlOwh8nLMr5l/LQ2b9YHheX4WleqfWig7YbsSQJZZNie5ELre0S6vS9BYdmeYNw5zqgzQ8keP3D+zXZorFxl9rUvEZQn8UtjCGmhspQ0atNanyWsLhO3qvd0jJwskfNK4D2BQhGpDtV0mWZaMUa02UZXeXh/YUqio0x7ZxlxpsjJ0kAmrZtIVMSVzltkh51VjwwUinZW573WdziTe4mSPTbwPizhULLGKOZGOR28RDVdpp6uUUtXqSerJMTsNdixcXBl0C0/DZGzSuRkiYI1giu9XsADPMgpFTgMcrZFLhijmJ/Gc8sIAVLYzC//kDAezJDyowLb9vG8MsXikd4KMgyrbGxcHnhfmU6pJItc77zTTbv371IO3FzBaokjfCac44zY02Q6JdMpkW4Tq44pK+iETGdoMuiFKBIpJBYOlrCxhIMjXVzhI4WNRCKFhcTGEnb3Z+uhMJesp2s0s3XCbBy/D17TJoQQuNJnxJnh+eLPsJEudfe1QSdr9FV+sXDwrTyBLFKwhijbE+SsMq70sYV71+ujtKKdVbkenueE/wyBVcQSgwe42yFp16gvhDRXrmF7AY5fwsmV8AojjJx4nmwmpDZ/gcrV1/e0/1szJgKpjVjlmHOUYXsKhRl3iY7oZE1i1SHRIaFqk6iQlIRMpyidkKF6q1QhRHdcWVhY3XEY4IsAz8rjyzy+LOIKD0f6XYPWwVbrAO3MZKEa6foD515sh8370dxvFhbde657D9rCuXmdhLlOUtgEskhxwLmjbI9jCZuyPd6bLxQZSmdkGG++zd8V2R3veRizYBvpErPh+0y4J5lwjw+07c251CweR+xpStYY094ZM5eqNomKSHRMqqOuUa0yG2zJcve+O+H05oOb36ONhXXLnHo/uHqD4DDI2QaF/BQgCKONXilnKzH3UYPnlSkVj2BZHlorLNu7haMzGIzT82pyA0d4aEdTsM1kNcgELsRmGj/AxQiiaW32negYpdOu+JnqTe69MKc7qW4GMLYwNeKtKdOHERkJ9XSdDWuZ6QGCHDDlPgdJyR7HEg55WaajmkSqQ6w73UlcQbc8aa6vRGJhCRtHeLjSx5UBviyQt4ZwxO7KqxpNM6uwnsyznswz6szgymDfghwnKBEMT5sAQEpzPlqTdBp0NhbQWpHG7X05FmyOOwt3S0lOa40iIyfLpDrujsGIVMVkvQekcTLvpeKFubqiG1SbQMftBjUergxwhH9PwXWqYurpGqvJDbIH0Dqet4bwZb57r8ne5xVCbvndMr/3Fheyq6cle8GN7AZCorfgsLBxcQcUu/RlAUs45KxyL2jR2ihAa616r/V+7313W37v/qwxmfytf091Qivb6HIF7w9MdnwJKUx34JA9CWJvc6kUHg43r2miYzKVmMUiCZnuzg+b2yFufk/I3qJxrwH5g8JhkHMLzJeaDybYqF2h1pzrcXF2szj4KMPzSuTzk9RqNwDwpb2ntPlW1NM1LCwyUhzp44nAcHTuIcIXwhBgt96ojxrq2Tp24jLmHMUW7kDXa3MyK9ojFG2jr6K1Nis2HaNIUTpFaW2yXcLuEq59U64b4Fib5bBYhawn8yxFV4xia7ZB2Z4Y7EPfBX5pjNFTLyIsG60y0k6TuF0jalZoV+ZN4BsenIMxmOtqYffVNXg/oLtcpFZWpZIsshY/GOmFEXuaYWcaV/hYwumNJyksLGl+vp8PQ1f6uOzN7Vx3/Ryy7j2S9bI9SS9j3FFN5qL3idP72/3ZympGXkJDYBV7i757zZY4wsWx+m9y+KjiMMjpQggLS7r4XgmtMjy3RDE3RZqZqL0dVlCPaDZHqZQ4adFozjM29hSuV0LpzDg/3wNJzLQwNmilVZ7O/xhSWL0swiG2R6RabCSLzEcXOO4/A1rec2DoW3l89k+VePOBoNFc67zFajxLS1UBqKWrTLqnBiKd3w1ZHBI11m55zXJccsNT5IanAGiu3rhnXs5HBZuZ5Ui3udj5IbV09YGVWYr2KGPO0QduL7IfECY9YniEO2Qh21md1fgGgvX7LnDRUQ3mow+JVcgT+U/hy7xxgTmcS3fFYZDThSVtPLfIcOkUmYpx7AA7P8NmxB4nLeJHNMhpNhfpdCpEUZ04apImIVFU2xcWfKQ7LMdXiXSL08FLhpg2oOngjxpC1eZK5y1yssyQM4kr9rY6PUjEOuRi+1VW4uukW7QujMDX/rUx++VxRk691O2uWjf6Tbd1A0bNyr4d72FHRko7q3O++R9oZdUHUqY6xIOBImM1uUHUbDPjnWXcOYE/gO3HjyoOg5wuMpUQxXUqtSsUchNEcZMkbSOEoJCbvO9tb/cXAsfJMTb6JO32GlJa98DJuR3GOLCernO18zYjzhTD9jRlZ7x75I/GSmQ/my77OVqiI65H58lITPeUNZgw3EEh1QmNtMJqcoP1ZJ5U3+q5ZUwCDaHRlfcenIX1NTZuvIPjF5C2cV3XWpGlEVGjQtKuPbIu5LejldWopassx9e6Ac5hN9WPGhTG628+ukgzqzLpnmTInuqVqg9xJw6DnC60VqRZSNoJKeQmiJMG7XAdEBSCB+MRdL9g2wFBMEoQjNJsLhmlZ7m/Qk2JjlhP5ozomo5RZBSsoW7nzsMrtJjqhERFPb7J/bMC0Gwki3jCR2nFMNoo4A5IOty3s9GaRIc00nXW0wVW4mvbig9qFKFqEatwX4KcqFmhOvsubn4YLz+MdNybY1OYgEf3ZQykDa8iaxi/Le6tDHi/sOku3s5qVJNlKukia/GNh7IT6BD3B6mOqaerRKrdLRsbGQQjZro/hP+DgOlmS4hUh2a2cd8kDw6DnG2QC8YI4xqiKwaYC8aoNmdJ0jYP0m7goBAEwxQKU2xsXEJKG98vk6QeIGEf21I1ilq6QiNdZyW+wZngJcr2GK4MzEOnWxd/kCsSw3nQvf9aaZVqukwlXWI9nruvbboaxWJ8mUZWIVRNTgTnkNrcsvfrAb1JctVkbCTLXAvfppGt33WC6mQ1QrtJgaF7Pn4atWith7TW57BsFyco4xaGyQ1PUz7yBFopqjfeoVO9u8+aQhHrDsvxNabcU9jSQ2rZI9g/bAGPue6KTGe0VZUr7beopivEev86yQ7x0YVGE6omN6LzrKcLHPWeZMSZIm8NPWRzKb1OtTBr0sg2WE1usBJf6wq9HjwOg5xtoFRGMT+D7w6RqYTAH+620j56AQ50FSi1xveHyVSM5w8hogb7GeBshUm5Vnir+XXyskzZmWDCPcG4c/yBp1wTHdHOamykSyxFl7ueUhkP8rtvZhtc7rzBcnKd0/7zDNkTA+no3Ati3aGerjEbvc9an0FeI9ugkI2yBy3IO1Caeoyxxz6FtBy0TknadeJmlfbGEtXZ9wZoIdfEqsOF9ve4Fr7NkD3JsD3FqHuEvBy69xPdZzSzDTbSJdaTOVbj2YdSA+cQDwda2QYX2q/gioCiPcpR/wlGnaN7EmPdT2QYLZ61ZJbl6CqtrEr8AHwJD4OcbbC0+ia+P4zrFJDS4vrCd4ji/Vc8fVjQbC6RZRHl0glct0i9Pku7vXofjqzpqAZx3KGaLDFrvde1VRihYA3dXJUc0Co71QmhatHO6jSzCo10nVC1jAaKTkhU+NCUBTSKVrrBh+0fkLPKFK0RRpxphp2pXqvuvhynqwdSS1dYTxZoZhXaWYNYd/p+0LazGmG2Pz5aWRoRtyoIpMkoqQzpOATlCfziCKBpVxZpdPpvI49Vh/Vknlq6wlz0ATmrZIxYZYnAKhoRROHfl+zOpsR+qFp0siaNtMJGukS7a15opPgPA5xD7I5Eh1TTZdqtGr71nrGnsYYp22MUrJGuPtHBjOlNwcxWVqOertLKqoSqRaTaRldKRd259P4vFh+5IEejaKs6Vztv9fFeTTOt3OGEGiUNNJo07SCEpN1Z78uwMtId1pL5vtJwqU5oZpV9m8CqyTKZTvGSYNf3trM6SVfQqlw+gePksC0P3x8GIVAqIU1D2u21XfZ079gU5Ep01FMzbshKVxG2gCdzW4wzHaO2KZybAmK91KzoeRndFAEzv5n9x2Q6JtOpCWB0RKJCYh0SqQ6hatLJ6iQP8UNFkdFRja4ZZ4tQNamla/gyjys9HOH31HOtrkCbwOqlrumVnhRKK7Kumm/W5R3FOiTREbHq3OLQnQ7YLZXomI10edd7sJ6uke5yXyWtKvWFi3d/zwABDpj7flPUD8xEHGZNXJnDlQGezOGJoDfWbo67rQrZRiBNbBmDvetsDgI3r3ZPbG5z/G3qr8Q6IlZtYt0hUh06WZNWtkFyG6H7YcRaPEek2ljikXuMbItYhbRV7aH9XjSaTCd0uryXKGvRsjZopGsEsogjA6ONIz0c4fW0jW4Zz3fMpZviiOZnddv4Tbr30aZAZpi1aKsGkWqSqOihIMcLfbs740cA9Xqdcrn8oE/jkcDRo5/B80oIYeF7ZcKoitaKVmuFpaW9SeXvHwR5q0xOlsyDR+bwRA7XCrBus2Uw96XuPkiyriKyCaBSHRN21X8TFRLpNp2sSaLDh3bC6h/GEC+QRQJZImeZa+UIF0u4WF0JfdDd62OCvs0JajOo6WQNWqrWW30d9IrL9iRaQxbfDCgtRyIkpNGDDzJt4eLJHK4IemPPESbYdroBtyXtnrK2UTbe4tej2Xws9Mbj5oMgUm1iHRKrkI6qm04p/WBLood41CEIZAFf5gmsollAiq0LSLtneyOEQGt6QXlPKbo7l94cv93FYTegeRBZ71qtRqlUuut7DoOcQwDgOAVOnPhJrlz5w0dW9PAQDw+OvzRC3E5Z+uBmGXjisSJuzmburY0HeGaHOMQhPiroJ8j50cgzHmJH2HaAEBLHyWFJB9ctkGUxSmVk2f3zaHlkIQR2qczUX/51nOHtDQdVHFP99p/QeP2HqLBzn0/wweDIuWGa6+EtQc70U0OUJv3DIGefkXvyaUof+yTBqdOgFCu/8+9pnX/nQZ/WI4/RX/glco8/iZXLEy0tsPLv/0+y+sNr8uyRIyHsetzdHQKBR8BjPM8HvE5CtOs2DwqHQc5DiJIYISGmo/eHvHk3bHJypLTJVMzw8Bm0VkRRlY2NKwd+/B8JaI3OTCpX2A7ScUzdu0sCFHaEdN1HWYoJAGkLckMupz49zpHnhokaCdIyhGnLlUw+XiJuP/ga/qMGYVlI38fK5UFrhH047d8PSM/DyuWw8nmsIHjoZApuQmBjM8YUaywS0e9CS2DjPPTT1uFofwiRF2VC3abDwQc5m1q+SiU0mze1Rj6CVcyHE1qj4pjOxQvEy0tIx0G4LlY+jzsxhZXLPegzvL+QAi9vG06OsimMGYsPy5F0qjG1xR+NTFbfEAIrn0clKTqJoS/hw0Mcoj9IJA4eecoMiXFiHdGiTkpMTESekuE8dv9rsimpcSscvF7LeocmPrluAGTIzB2apCQPhAN5GOQ8hAhEwaQM78N4WF+/cPAH+RGHCjtUvv7Vmy8IgX/iJGO/8EtYx08+sPO631CpprkS8t7XFsiPuKSh4uoPTAdfliqaayGd2iEfbCuE6+KfPE1arZJU1lDtQzHAQ+wfbFwKlJnmJHnKCCFo6hp1KlRYZooTuHhYWNg4XOY8bRq3kIwFkiIlCgyh0cxyiVEmyVPGxsXCYo7LNKk9kLLWYZDzEMKkCzU+OUIOJ7VHDt3sjlY/mtmydiXm7S/NkcWK+vIh72snSN/HO3KUqb/0azTfeoPa975NeOP6gz6tQzxCiAmpskZKyqQ+xhyXaHNTkuEyhrvl4DLMOKNMkhDdUtKa4nh3XxGLXKPEKA4BNSqsMEtAnpM8yTJzrHP/feYOg5yHEIEokJdlpq3TZFs0dxp6g2vZew/wzA5xiP1Blihmzg3xmV8fIz/q0VqPuPLKKvPvVGlVHl4S4/2EVSzhTR/p8rce9Nkc4tHGnRbEFjZHONPTz/FFQESE0F0uIYJAFJjAYVnPUmMdgIAcBVGiyBBFPYREkpI+MM2cwyBnANjFEnaxTLgwa16QErtQxJ85TvOD/etW2FArdEQTiXWLMF2oW/t2jEMc4kFi6qkyhTGftWtN1q810UBpKkBIwYU//tFwFd8NVqGAMz6xb/v70cwbHqIfaHTXx+1mAJOjiINLRJuEBBv7NtsdYx67wSoCSYEhOrR6AU1GSgPTKZmS0OHBPL8Og5wBYJeG8I8cJ6lWUFGElc/jTU6TO/UYzQvvwj6RdStqyYjdYaNRxIQ98tchDvEo4MgzQ4T1lLe/PEdrPSI/6vHsF44w88zQYZDThZUv4u5jkAPs2xx1iEcHxn43w8LCwyfFqG375EBoQt0mpI2Hh423ZTuIdcQSNxgW45QYoamrRHQIdbtXCgPIyA4zOR8FaK2Qrkv545+h+cE7FJ95EbtYpP7WD/d18vDJMWpNMyInaasmV7N3KYkRpJCsq8MHwCE++sgSTdhMaK2b0lRrPSJqpnj5B2sq+NDAsrDLQ7hTM90XbkoO3BO0Pgx0DnELFBkhTRw8jnGWFg02WKVOhWlOkBclEh2htCLh9sYATUyHNb1IiRFO8wzn+T5FyhQZZoRJADZYocLKLXyf+4XDIGcARIsLpLUqpXMvMvmn/zyNd16n/ub3SWrVfT3OEfsssQ6ZTT/kqPU4IMjLIWzsPRG3rEKR0Z/9RXJPPEX91VdoffA+ab3K6M9+Ae/YMYSQpPUajddfpfnWm+gsxR4eofDMcxQ/9kmk75I1moTzs1T/wzdJNyq7TpQylyN39nG8YyfwjxzBLg8jbAedJmTtNsnKEs3z7xLOXidr9Gl+KgTO2ATB6TO4k1O4o2PYwyNI3zdaNGmC6oTEK8u0L31IOHuDZHV5oGvljE/iHTlCcOoM7tQMVqGAtB2EAJWkZI0ayUaFZH2daHGe9sUPTWvvA35wCNvGKhQovPAxgpOnsEtlZBAgLJus3SZdWyVaXKBz7Qqdy3f3grpj356HN32EwrPP445PYhWLyCBAWjYqSVCdNlmrQbK+TufaVcLr18gadXS288otbqeMnSrw2V8/Q2W2w8jxHLkhl8bK/hKR3alp8k8+jTc9gzM6jswb93YVdkjrNaL5Oeqv/YCsVkWnd19pDv/kz5B7/AncqWkAZv/7/5a0vvvYHfulX6X4wktopWh/8D6Vb/yhuYe2IDh9Fu/oMZzRMdyJSeyhYawgh3BdAArnniP/5NNotbN0/o3/7r8lazbuOhZ1lhmtHMfBLpUpfeJlvOPHsYslpOOi0ph4eZnw6mXCG9cJb1zb9fMB2OUhpv7Sr+GMj5OsrbHwv/4zVLuN8Dzc8XFyjz9F7rEnsIpFhGWB0mStFtH8HO2LHxAtzJNWdxGBtCysfIHiix8nOHESu1xGBjmE7ZB1WqTr62aMX71sxnif96TMF3BGRglOn8E/dhy7PIyVyyEcB5QyY6VWI1lbo33lIq0P3oNsny0MpMSdnGT8l/8czsgoSIFqt1n+N/8/4tUVdDyYf9ygyMh4l+8BNx3XNJrz+ge91zax2VkV0uJtvtvN0ESEtFljAY1miVmWmetVHzYtTh4EDoOc3SAlI5/96Z7Ls7AkdmkIO18gd/IsdqmMiiIq3/nGvj3oBIKMpNdZJbqv7blcJURPmMouDxGcOIVVKpE7+xgylwdh6v/S90k3NsCy8GeOUnjxYzijowgpsYIcMpdDui5rv/fbqHD7h5GwHbzpGUqf/gzO2Dh2oYgMckjXASFBa6x8AbtYxBmbIJyfJbx6hdYH59HJzu3D9sgo+SeeIvfk09jFItIPkJ6HdD2QXQdurdCFDKtYxJ2YJFpeJLx2lfprP9hdX0QIih//FLnTZ3HGxrEKBSPgZTu9FbTU2lzD4RG8I8cITp/FKhRpvvXGA1UqdsYm8E+cJP/k07gTk1j5PMJxzcNECKQfYOXzOBOT+KdO4x8/Qf2HPyBrNXe9Lv7J0wSnz5I78xj20DDS9xGOjbBss2+l0Pk89tAQztgE3tFjtMcnaF+6SHjt8o77/fBbywzNBJSnAooTHq1KzMJ7NWoL+9NNaJVK5B5/iuKzz2OXh7pj1zMPLkDnc9jFEs7IKN7MEVrvvUt4/Rrx8uKO+xSOY65lLm90pPrMrEjXM9uoDOm6CHmnY3xw6jT5Z54zwaPvIx0XpLwpIGfbdxXx01qD3P18VJpilcrknniK4gsfw52axsrlEY6DkBKpFNILcEZG8U+conPlErXvf/fu46QrbLkpOJjl2li5PNLzKTz7PP6JU7jj41jFErJ3P2kjklcoklTWSNZW73rezugY/rET5J85hzM+iV0omHPeHIe+j50zHCb/5Cn8Y8dpvP5D0kb9rudeePYF/JOncCensQsFZD6PdFxzrTfv+1wOq1jCGZ/AO3oUd2qG5ttvmHPehzlfuB7O6Cijn/953MkphJQklXVq3/sOyUZl1+B7v7BdOWm3EtPWvxvnQNX7+WHJFx4GOX1AWPYtapVJbQN9XaGiyKyKLGtfj5fqBIlFIArYwqEohrGwthVhGhT28AjCcbGHh0lqVUSjjl0oYpXKeDNHCc4+hvR8nJERhOMQzd3AKhQNCXJ4BOl62OUhkmz9jqBEuC7O8Aj5c8+Rf+oZk7mJY9JatXutFEJaCNfFLpXwjh03wYTvk7Vbd80wSMfBGRkl99gT6CRBhR2yZpMkWjOTgBAIy0Z6HvbwCFaxhFUqIf2A8PpV4tWVnScky8IZGqbwzLP4R48hPR8VhSRra6g06U2SwrLNAygIsMtl7HKZ1vvn96eMsEdYhSK5M4+Re+JJgrOPA5BWN1DRhsmkKG2ud6GIXSrjjIxiBTmSSoXwxrU7MgpbYQ8Nm4fv0+fwZo6gOh2yZh0VReg0M9+nbSMcF+m6yFwOe2iYaH5+V1XdyvUWUSMhbmXkxzyaqxEb8y3alXtfsdpDw3hHj1M49xzB2cfRaUrWaROvraLjCBDdgMXvBTpCCIRto5KYtLJ+z+cwKLJ2h2Sjgqh1x5KQOCOjuOMTaK3J6nXDBezsEARqzP2460NX480cxZuaITh1hqxZJ1ldRmcKhAnI7JFR3ImJbjYwR3jjGvHK8l0XIVshpGWu68QkuSeexp2YQKcpaaViMlFCmsyj72MVjAqzSnb+3q1CwQTajz9J7omnAMycUt0w977SCNfByhd736flB6S1Kp1rV+/6fVqlEt6Ro/jHTpi5qtkgrdfQSWqyNZY0QWq+YBpPhoYRrkdaWUNHEek92jQI18WdmCD3+JMEZx8DBPHyEp0rl2h98N6tukhCIAt5UAodx+Ycu+NWp+kDzyY/rDgMcnaDUlRe+SaAyeZI0ZPovwX7OMBi3SGQBfKijIPHtHWaiA4dde+ePt70EZN+bTTY+OYfIV2H3ONPUXjmWUR35SV9n6zVovnu27QvvEfuzGMEZx/HP34Sq1DAO3KMLOyQ1W69wZ2hYXKPPcHQj38OtCat14mXF2l/+AHJ+jo6iZGejz08TP7Jp/FPnMIeGibnechcjvDGdVP62QYqDImWl1BRSFqpEK8sEy8vEq+ukDWbZtLM5bBHxyi/9Ens4WGsQhH/2HHyzzxL8q1v7lg+sXyf3BNPE5w+i7BtskadaGGO1rtvk9br3QlYYOVyuOOTeDMzOGPjyCBH++KFA08l7wgh8E+covTJT+FOzaCVIqmsm1Xm+jqq1UKnCdbQMLkzj+HNHMEdn8CdnmHosz9BFWg26rDDSjE4fZbc2SfwZo6AVkSLc3QufkiyvkbWaqHTFJnPY5eHzMr/yFHc6SPdh+Ldy6pCCsJmyvLFOuLSzddtT96bC7mUBGceo/DcC+QeewK61ySam6Vz7QrJ+hpCCKxSCXdiymS/JqcIHnsCGeRASmrf+dZ9f2DUX/8Bjbff6LWKS9um/KnP4H7u8wCEN65Tf+37hPOzO+5DdXbPJkrHofDUM+gsJWs2qL/+KvHyMiqKENIEVsVPfAp3dBwZBAQnTlL6xKfZ+ObXdy8ndSFsG3dqhvKP/QTS9cgadcIb14jm51BRiLCdruL3JP7RE8SrK6TV6o7784+fpPTxT+IdPQ5KEVfWab3zVnccNtGJGePBqTNmDE5MmjH+8o+DtGjUazuO8WRtlbRaJRsdJ6msE165SLy2RtZsoMIQ6brYo2MEp04THDuJNTSEOzlF7vEnUVFE+t49BDlC4o6OkX/qGYY++5MI2yGprNF8+w0ab71O1tjCXxEC4bp4J46gOiHpWoWs1kBYFlYxT9ZomqBn4HPocr0eYSXtwyCnD+jIlGaciSnc8Sma59880OPNq8t4KiAnSzREhbZu0FJ1Yu6dryCDgHhlibWv/A7RrJkw00YTlaSUP/UyztgEydoq7QvvU/mDLwMQXr9GOYpwJyaRfoA3PUO0MHdLkCNsh/xT5xj6iZ8CIF5aZP1rv0/70ofbTjC1V77N+C//WXJPPNXNGJyhcO45Wu+f37b0k9ZrNN96nWRliWhpcefAQghab73B1F/+9d75Fs49R/U732KnRJjwfPJPPo2QEtVu03rvXda+9H9tG8y2eNds47pIP3hwhntCID2fsS/8GexiEdXpEM3Psfi//wt0eueKvvnGDwlOnab88o+RP/c83tFj5J94ymTQLm6veh2ceQx7eASyjLReY+lf/i+oONo5AOiakWat5q4p9snHixx7YYQTHxvF8W9mQlcuNfj6f//+YNdiC/zjJymce84EOFrTuXqZ9T/4EtHiwp0TuZBUv/0nTP1Hv4Z39Bje0WPYxSKdK5eIlxbv68Svowgd3dQH0raD2jLGdWa4T6q5d6sXIQQ4LlpFdK5dZfVL/xfZbXzCzuWLNN99m9Gf/QXyTz+LVSxS+sSnaV14HxVHfSkuW8Uio7/wp1HtFpWv/wHtD97fOUCScufrLATScRn9hV/GHhpChSHx4jwL/9v/d1seXPONH+IdO87wZ3+S/HMv4B45Sv7xJ8kaddoXth9T7YsXiFeWkb5HvLhDqfLiBZpvvYF//ARTf+nXjAr1iZOk1Q1a77276/UAtr1nvCNHGP3ZX8Q/eQph2aSVdVb+7b8mWl68ZSwAWEMlvJPHsCfH6Jz/EBWnIAXCdZCFAlk7hD0EOc6RKWQ+R/ThlUc2E3QY5AwAO1/An5iief5gjxOIIpqMulqnI5qMyim00KC550BHp2YFFy/eXGlnjRrJymKvJBcvLxItLNzcSClUu0VareJOBViFwh3liODMWdwjRwwJGNj4k68Tzc/tuIJCa2qvfBtndAxneAQsm/wz5+hcvbw9v0VrdJIQLS7cPW2uNUmtRrQwj/QD7KEh7GFTjtjpFt7KddJaoZX5dzfoOCa7T7Xy7SCDHPknn8bK58GyiBbm2PjWN7rXZvtPGi0tUvv+d8mfex4hBO7UNMHpMzsGOZvQ6O41ye4+EWq9KwdiE0/+tCHv/vD/vEYS3gwmo9a9XdPCsy/gjJm2a50mVP7oq8Rrq9ufk1aoKKTy9a8y/stfxJuaRvoB5U+8zPpXv7Qj7+y+4QCeOUII2tev0vrw/R0J/yrsmDKslJQ/8WkQgtzps6h2m/D61f6OY1msf/2rdC5funtJ5y5jRXo+uaeeMfwbyyJaWWLjm1+/K9E/WV2h+r1vk3/uBTPGJyYJzjy2Y5CDUqS1GqJx95KzCk05MZy7QXDqDFahhJUv3nWbm9Co5KZvk3AcnIkJxn/5izjj4+gsI1lZZuV3f4t4aemObLY1XMY7eQz/mSfQSYpVLqJabfAcci+eI6s1SatVdGIh8wG5588hPIes1iBdXSO+NofwXHLPP4M1UkbHKZ33PgQhCJ55AmdmEmdslHh2nmRlDR3uLsZpDRdxj03iTI7Q+A9vosN7z2YL3yH/qXNYpTy13/v2Pe9vE3cy4A6xI7Qyk70VHKyp4pAcIxCF7s/jSGxKcoSyHLvnfes4IuuEZrXfe810PG0iazZNl8bW7dLUrOKhR1LcCndqBqc8bN4bRUQL8zvzB7pINipkrRYqSUAIvMnpXbkcffECVGbSzXFoVoOuC3Jn3pTOUpJux5h0XdzxCfJPnzMB2934Ng8wxStdF+/YcYRlGb5DvU68tMDdnowqikgqFVPP1xq7ZPgLO8FwqUJDSA0C8s88hz0yasjYOx6kv2sibUnUSlm53GD1arP3754MOqWFNz2DVcijk4SkW9a8azlRKeLlJdLKOlmng7Bt/BMn7/4ZP+JI1tdIVlZ2/q607paDb3YmOmOGONwXlCJrNghvdDsn93ifCMfBP3YCupyTrF4nWpy/a6DdG+NRZObqYhF3dJd5U2W7k3u1Nguber3Hw9xKTr77tpt8KWPV4U5NU/7EZ3AnJyHLiGZnqb/6feKlRcMZu+3z6Sgma3dQjSbJ0jLZehXdCc01qTWQhVyPgC0cB2d6gnS1Qrq6TtYwAnzCdbGGSwjbJl2voNodVLuNThJ0FJMsr5I1W4Zr1weEbSFzHrKU35ZIvycIiVXKYw0V9md/XRxmcgaBVuZhPH2UtF69udrXmmRj/8iKRTGEQNKmwZg8wnq2QEmOYguXVTV3T/tWUYyKbl2h6ixDxzeDBxWGd2ZTlOqVb0zXzm1BzpZJUKcpVv7ObM92ELZtCH62jV0e6m8bx0HYTq/LZ7OLCNHtQOvWr4Uw3SlaCHMjCrHtBKmSmGh+FvXsc0jPTELFlz6BimPSjYq5Hkl8Rwr5QUK4Lt7UjPlMWWY64IqlXR9EVi6PTtNep5BdKGKIIHdel3h5Ee/IUfPd5vKUPvYJpOMQLS2SNeqosNMj3/cDaQuCsmmJ1lqjlcbxLcSWrqAsUbdkdvpGt4PQHh42xPF2i3h1xYz1Xc5Pdcwq3ZmYRAbjhm/leWTt1iPJVUhrNdLa3fk1ab1OuknstW3soSGsXH+LO51lJBsVs32fZOXtIBzTqSmEMOfR5xiXnm/GuOsiPR+ruPMYv3mwLhnd9QyZXkpTShPSxDFCmONa3S7bzb9L2Vc7uU4ShGVhj42TO/s4xRc/BkC8vET7wvs03nx9x2BctTtkGzWSlTXS1XWStXVIUoRjkywsEzz7FMIy52kWJD7RlWuoxk2FYSElOopR7ZB0dd0EgXFMVm8iXJfo8rXBy1VCIH0Xa6SEzPvoTKHqJlCSpTzS6QaBliSrNgxnqOvXJ3M+IvAQUpjkQXRndk4W84YuFCf3lCk6DHIGgBXkCI4cp/j086brpvul6CRl9n/9JyYI2gcobSS2HeFhY7Oq5rCFg8W9ry51Gt+RDu2VIjaPnySo+LbJSdMboLcHOGBavK28ieqtQoGj/4+/OfjJdYMXpAU76YFIiTs9gzc9gzsx1Q2uikjPQ9hut9vH6StY2oRqd2i8+TrFF1/CnZzGKhTJP/UM+SefpnPtCuF1o/3SuXq5zw6Wg4d0HNyJyV77bPHFj/UmzkEgbAdsG9I7H0bN8+9iD43gDI/gjI0TnHmM4PRZ0lqVcG6W1vm3aV/60JR1+pjoi+M+L/zKMQDGThawfYsjzw6zfr3ZMyutLnR463d2JtfuCCmN3IFtOiFVHJOs3aWj7jak1Q2yZsMoDNs29tAwWbu9azbyowjVbpE1d5HYV5kh+dfr2CMj2KUyVhD0tX+dpcTLSzfniz1C2LYZ41IifZ/CueconHtuD/vZeYybNxh+m3f0GMGZszijY6bjNMghgwBsB2l3F1N76KTVWqOTGHtoiOJzL1J88WPdztVZKn/8R4TXr+4xGBS3+ZqZRVxWb9xx7bNandYP38E7cZTCpz5GeOES4cWr9AK/HRaAdz26JXFPTjM8XET4HlmtSe33XyGZX6X0uZdwj00ibAtRyrPxb/6IZG4V1eqYMtmLTxCcO41VyKHCiM57V+m8+eHNz2FJij/xIsKxiK4u0HlrMG2vrTgMcgZA8+L7tK5c3IbfofctwAFIiBmVU0zII1zP3icjQ2JhbRNcDAqt1O6rU63Qg3weIbC8mxok94JexuU2yCDAnZph7Of/NM7o2M2S2ZbuAJ1lqCRGNcOu1ogDfZUdNDqOWPyX/wuFZ871hMuE6xKcOGVS5i9nZJ0OrfNv03rvXeLlxVtKfPcVQoBl9fhP97YvuiWvbSbZNKH2yn+g/eH7FF94idLHP22yJeUhCqUy+SeeQnU6hHM3CK9epvnu26R3EcaM2ylLHxh+xvKHdXMfad29dcwd1a7ubeUvhDDCcJtjR6m+SLKbyMLwFqKvEZl7NKdHlabbf9+3QWcZWdjBhm6Go8/7W+kun+keg5x9G+NixzHuTk5TePZ58k+fM6VbS/Y00RDCLADjCBWFaK3NPOcNdk5CCITnMf5Lfxa7XEa4xhpBOo4Zr3tYNMl8gD0xRu65Z3COTKLaHeLZBcPV2Qb25Dje2ZPYYyNg33yOZBt1rHKZ8p/+U3TefZ9kYbkvTg5gWv/rbdb/j68hXRv32CTln/80a//iS9S+8l2j8+TaBM+exTt7DB0lxJ0IqxhQ/MkX2Ph3f0x8fcmUApVCuDZaaaxSntJPfQzh2TS/+w7pyr11FT+ad/FBQSm0ig9c5GhFzVJVywgkLV1Do1hXC10DtXvEnWaz+wNh6Ls6TUlrVeqvv3pXxdudkFQ37gjCrHwB/9QZhl7+LO7EJMJxSCrrxEuLXRXqDVQUd3VhTIBWevHj+MdP4uxWj98C1WnT/vADoqVFmu++ZVpSj50wInhBgO045J9+Fu/IUaLFBdoXL9D+4MG4wgtE74GeNupEC/N0rl7aZas7kdXrd+Uj6DgmWV+j/sMfEN64YVp0p6ZxJ6eMHpFlEZw4hTM2RnDmMRpvvkbn8iUjNHgbolbK3NtVAMpTPlmiaVUinMDi+EujtNYj2vfgQC5uD44ffMLtZhD+EcXezlzvStzf/cBdo8jeGG8QLy+Ybs0BYbgmt41xIbCHhhn6iZ/qqhyXEZZN5/Il4pUl0lrV8Pq63B6UQuYLFF/8GLkzjw2W0ZES/9gJpO+j0wzVbvc0pQrPv4RwXFrv3d3gOavVCS9cNmWdNEMpTbqyRuvVNxDvmCyK7nTQaUrre6+jbgtUsmqd6MMrxNdmQQiymrnvk8VlsnrDZGIq1VtoC7tBK22OG8Zk7ZBsqIg9UkZ6LsFzZ7FKebTSuDNjqDDq8pgsrKEiqt5CtUPzeTbh2FiFAPfYBFY+oPaV76Dq914yPgxyBoG0sDwPd3wS4bgmc9BpE2+s7atWSkc3uJ1+2dYN9jrl3A9opcyqXGtUFNH64L09cViyduuOrJgzMUlw8jT+iVMgJdHcrCkh3bhOtLxIVqsa8vKWmyE4eQZ3cnrAD6ENX6FeJ15ZJms1SasbOKPj2EPDRtV3eMR0bJWHkK5LsrZqSMv7LfO+y3lurn6Q0pBs11ZovXv3iXLbXaXpzqXBzffEMcnqCmmXZ+GuruCuLONOTeMMDWMVS7jjk7ij46jUCDVGC/Nkt7U7q1T3vKqmnyoTNhI69YSx00XcnIWQPlmsWL++N7di1SV3Aj2RtH4hLOsWAuVmwHyvMPyOh+u+FVLcvXV7y/s2hU61GjC7e6+4fYynCcn6+t7GeLbNGJeS4MQpglNnsMtldJLQuXaF5vm3DBG9ViNrt26Z1+2hYXJnHxv8swiBlS8QryyTrK2i4pjg1Gns4RH8k6dQcURSWTOyBTt9higm2xoQZBmq1THln9uQLN5pZaOjiHQtvklN6maPDAG509d42P6zbfn/TXHusTLO1CjCtkgrdZMdk/LmezV3Dfx1kpFWaljlAsJ1oNM/7287HAY5A8DyfdyJKYY+9jJ2oUgWRcSrSzTefYPoLnLwg8I4jt+etdG3+Ic8VOh2Hug0RUijZppWKvtmdRCcPE1w6rS5EbWm/tr36Vy6SLK+tuM2PWLgXqA1OoroXLpI59JFZC6POzZG/qlzFF/4mBHAGx6h8NwLJGtr1H7wyn3nbmiVoaKo609loZP0rtdjX46ZpkTzs0Tzs4YDMzJK4dzz5M4+hjs9gwxyFM49jw5DQND+8IMd93X8xRHqKyHr11u88CvHmH2zwtQTJUZP5Ln6g8E/h1Ya1ekYCQCtDY8j1x+HBDCcLsc122LI99uKft5yD4pduQzGdmR/FdHvFYa07+y+CJEWolsu2ry/7ye0Mi3+Msj1ugj3a4wL26bw4scMmVoI0kad6rf+2GSKdtTtMWrOe4FKYhqvv0rr4gV0FDH045+j9PFP3aLiXvna7x/sNdZ65+zmHgIcIQVWuYDMeQjXxirmSNdrOEcnTIfe7DLh+9cQjoVVyptTyDKyehNZyCHzhnyM1tBV3FbtkOjqArUvf4exv/ILpBsNdByj2nvP8B4GOQPAP3qCwpPPsvaNr5DUqlh+gD9zjJGf+FMs/rt/uW+E1LP28+TEnR0Edb3OlXTwlcz9QLy+2tWkMSRVK5dHJ/EOD4rB4IyP44ybGyetrNO5fGnXyc4qGDLyfkC1W4Q3WkZ19vVXGfvFXyI4/RjCdih9+jM03nnzvgc5Kk6IlxbwT57GKpVNZikI+lK93Z8TUCRrq2x884+ov/Z9gtNnmfiVP4foaptkrdZdg5w0VkgpyA25+AWb97+2iPqcojTZf2By6/lkxp4gjk1pwfXwJqf7JlQ6o2PYpW53YJKQbqzf2YWoVI8gDSA940N1tzHujIzuD69kH2EVjf1BEu3sFyUsGyvIYZfKgCkjD8Jx2g/oNCFeWsQ/ccp4Rw0NI4PcvtxrQlr4x08iHAfVbpMsL911vG5uY5fLg5cflSJZXaH57ls9Zef13/+SUQk/dgJndIzSJ18mXlul9fabd4y7hxpCMPJ/+zwi8MiqDWpfeQUdJwTPnMZ74gTB84+hkxTd6QYpmSKrtWh+921KP/1xZD5AtUPCD2/Qfs1cf50kpCsbVL/yXfKfeBpnapTGN36451M8DHIGQVeQLqlVjRZEp03aasIeuCd3w3x2Cav31Qh8kTd29/ugeHxQiOZu4AyP4gyPoIWgcO5Zmuff2ZeVl7SsXtpcRdGuqw6Zy+FOTmEV+hXr6h9JZZ1w9gZWsYQ3cxS7UNx377J+oKKQzpXLRtNFWDijoxSeftaYkd5nZK0W8fIynatXyD3xlOlK2eXBHrVTjjw3xPGPjfL6b90gbqdYjsTy9s4701lGOHuDwLZNCe3IMexiibTRuGtJzi4bqX67VEanKeGN66a78LbgSMXRLeRVuzxM2myi7/Lw90+d7gVPA30Wld1SthX7mBFyxydxJ6fvaorpTk7hdtu3AcNTuc/q3jqKaV+5hHfsBFJK7OFhCueepf7q9/dl/7Krc6Oz1JQ67wLhOMYKZPrI3jlWW4aTThPWvvJ7jHz+54zRby7HyM/8LKrVIpy9vqNQ48OCtFKn9fqHdN67Duhe80fW7IDWbPzbr5t2+0yZvhytbwY6WtN+9T06b10yprJao+ME1Ylp/PFrJguvNdGlOZL51b3ZVWzBYZAzADZXbLmTZ8naLaTr4gyP3tKVsR/o6NYWFV5BrEN8K0DwcKW9tyKanTW+WMdPIByH3FPPkNRrqCTZ1fpA2LZZoYWdbVspVZIYnQnHQeZyCNfdsYYsHJfCcy9gl0r9czJs2zwMNzbYla2qNdJxjUs0mzyQ+19GVGFI58olyi//mCFFD42Qe/oZOjeukayv78qzsfIFo4+UJtunyLsWDT0tnLtBa4Q0budgylq7pd1vvL5OfbGD41ssvl8jSzRLH9SpLtxbJqpz+aLxLSuVTdvxcy/QfPtN84De5nsSttMdL0MIy0K127QvvL9tJ07WbJBtySL4p06TNurE2wU5UmIViuYBViwP/kG0RnUFOIXjGu5TEOydO7EF7tQ0fnWDzpVL22ZFhG3jHz9hugq75xItzpNUdzZzPQioOKJz+RLlT30Wkcthlcrkn36WzvVrpOtru2aJrXwBrTIjeHfHeNQ3y72O0/v/bVu5hcCbPkL+8af2LTsMZsHUOv82aEX+qXPYpTLFF14CYcbxA1fcvhsyhe5EZJ3t54asenf7EdWOYJsSlGrevP91nJANQITeCYdBzgDQSYKKI/yZ42StOtLzEbZDvLayr8exsJFbODka3eXpPFwExq2IV5aJFhbwj6/hTk/jHzthsjhaE83NmhbMrDs5d0WrNrkBVi6PXSrTuXqZLMvumMSzVous1TTdPIUC7sRk1zG4m0UTAmE7pr15aIhit2MBpXbvgujqzOTOPk64eZ6bD+ksNRyNrpigsGzj5D02jpUvGEn4jfU91dHFLfoWDNyFo5OYaH6OeGkRd2bGODWfPEP+iadoX75o1EzTtNflIqQ0BEDLNsH5+CRptWKMU3cIcvwTp8jaLePKHMcmmFdZt2Sje/wrGZjMmTM83OM3ZO27k4cXz9dYPH9r8Lt0oYaw7m2Md65dwTt2HHdsHJnLU3zuRdLqBtHiPKrTQXU/q7As4y5dKlN47gWsQt44kNc2aF/6cNtrkm5UTDeaMqKgudNnSdbXUFHU4/AYsq6NDAK8o8fxpo9g+f7g3UbatGGnjQbOyCj20DDu+CTJ+ippo2Ee8KLbYScMsTNrtbhbkK67ZF5neATv2HH8EyeJFua7CtjKcEdtB2d0FP/UGbyZGTR0bWAW7jDkPWjoJOmNcW/mCFYuj3/yNPnHn6Rz5TJZ25hS3jLGN8ek6+KMTZDVa8Trq3d+n1qTVCu47pRxXi+Ve9mtnvebkAjXxS4WCc4+Tu7xJ9BZun9q2FlqOEBS4oyO4x05Su7xJ81811WMfhg0uT7qOAxyBkDaahAuzHYnilGydpO4skY4t7+DccI6hsdNboKNiycDWvrhTWHqLKV98QN0mjD+q38eYdsUX/oEuSeeJlqYo3PpQzMJaw2WhZXL4YyN401NYw+PIG2Huf/3/2CyObc9EKLFecOZGB5B2A7Dn/s87Qvv0754gbS6YaTMxybwj58g/+TTOGPjZrLKUuzdpOiFwBkeYfxX/zxZvUY4N0u8umIcjmtVVJYah3M/METb517EGRlFuC46jmm++3bP7uJux9j6s5AS4Xpb9Di6Ks6OY4Ky2x+I240trVFxxPof/T6jP/cF06IaBIx94c/QuX6VaGHedHK02z0xNatQwBkewT9+Ers8RPXbf0Lt+zuQpoVg9Oe/gPR90mrVdLItzpPV66Zso5W5JqNj+CdOmYdQeQiA8NoV41s2IO7JfbyLZG2V1nvvIqRF8WOfwD1ylNFf/GWi2RvGeLNborHLZbypGbOCHhkBIJqfpfXu2117jDsRzc/hzRxFdTrIXA7v+EmGgxy5M4+bsVirIjwfZ2QEf+Yo+WefJ+u0e87bwhlsuk1rG4Sz1w2vJwgofeplvKNHaZ1/l6Re7QWswvOw/ID6q9/fVf9GhcbqxJs5yuQX/wK1V7/fDQBDhBQ4Y+OUPvUZnKGhbgdpSuOtN7rq0fdf8VsnMZWvf9WUdU6dRnoeo7/4y4SzN4gX54lXlm8d492mgODEKexymdr3v0f1O9+6g0+ks4z2xQs4Q8OIXB5ndIyxP/0rVL/1DWMLkSZIx8U7eoziix/HHZ9AuA7J2qrp2twnWQDVbtO+eAEVdpj6S38V4boUnn0Ou1Rk5bf+TTdwPcS94DDIGQBCWlhBgDMyjl0oopXCnz5G7uRZKt/++r4FOm1VJxY303aKjHbS3BcX8oPEpitv1moy1hW+svJ5cmeNUu4t16e3CjX/9CbXZptr2HrvPDpJccbGcScmDV9gfILyZ36cm4qdXQuHLKP6zW/Qmb1G4dkXKL308b7P3yqVyT9ZJP/EU71Vr9m3+R8huq23QpBuVGhf/IDqt/9kR7VSGQS4k1OMfeHPIF2/F8gYuXPZK6cJx2X4x3+Koc/8hCG3ZllXgCymc+0y7Ysf0H5/ez2e8Po11r70O+SfPkfpE5/GKhTwj53AP3qs+xk2rzc9y4te15lWu4pYSj/AnfRN9kwpc7237HPzum92vjXfeZPaK982ircPCO2LF0jW10gbdYZ+/HPYpTL20+fIPfn0lu+0+312M33Nt9+g+e7btO6ie6TTlNaF90wg/0u/CraDMzaOMzpG/txz3dU/vQegjmPWfuffE5w6Q3DmMeNVNADC2Rum3fj4qR6p3y4PkXvymVvHpjalncZbr+8a5LQvf0h47QpWrsDQj/8kwz/+uZtjvXvuQhqblKzZoHPlMhtf/+q+l+QHQXjjGuu//3vknnia8ss/Zsb40WP4R46atvZdx/idZS2dJFT/w5/gTU7jHTuBlc/jHzvO5F/8y939aTa754SUdK5eoX3xAtH8LNO/9tdMyXyfoFotOlcus/Z7v83Iz/6i+XynzjDxxb/I8v/5vz+Q4PJRwmGQMwBUEpO2WliFIlrlbt4H+9wi2tBVpN5arlJkZCjuoxbLHqHiiHD2Bqu/8+/wjx03AcnYhMnCuO5Nlds4IqnXSTcqRthvcYGktrFtWl8ncXei+xLF51/Amzl6s3tKCJPWr1WJV1cIb1yjfeEDVBwSnDqze5lAKdKNDda/8rv4J05il4ex8nlkEJj23253jk4T0k6HZG2VaGGOaGmReGH+rnLsQlomSBifMO243QDpdkM7IQTYNsK2bz5wuiWOtLp+d0NYrYnXVlBv/JBofpbc2cdxp49gl0rIIGfMSTFjNwtDVKtJvLJCND9L59qVO7Rstl6XjW98DW/miMmiDQ0b93nHRdhd7ZQsQ7VapI0aSaVCNHeD9uWLJGu78yUOFEqR1qo0Xn+VtFrBP3Ead3zC+C8Fue74i0nbLZK1VdoXLxDO3SDdqMAupcesXqd98UNWfve3yT/5lNFQKhYNH0krso4Zi8nKMq0L7xHeuIZdLOFOTsGAQY6OY5KVFVZ/77cpPPsc7sQkdqncU2PWaYIKI6PVtbpqSJ67IF5eJpy9YT5/dYP8M8/iTkwic3mkbaPSlLS6RrQ4Tzg3R+fqJRPgPMiyidbEa2uo6A2ipQXyjz2BOzVtrkUuv2WMJ6goJGs2u+XzOcLr13Yc4yrsUPnm1wlOnsI/fhJvZga7UAIpuu3rEcnaKp0rlwhnrxOvrhh+T5b1pAb27SMmCa0PP8CdniF39nGTIT12gtInX6b5zluk1XtT/f1RxmGQMwCsXB53bALL8w0JsWtkmbWb+zoJpOzvqkknCZ2rl1FxRFqvEy3emo7XWUpaq1F//VUAoqVF9G1tjEm1QvvSBdJ6lXhxcVtFW7Mzjeq06Vy5RNZoEK8s44yMdeXMjWmm1sq0+rYj4o014o110rVVPO1jeWWStE2ctm7Zp1lVXkJIQby6gpUvdCc30ftcybqZnNPKOkhJOHudxus/NPoL6Z0EYYEk8IZxZYHWe++S1mrYZfMQMbYQXYKzVsbxNwxJK+tEy4uGn9Fo9Kg0WxM/vdPuOie33ntnx+EhhUBIUEpv+554ealLiN4ZOopIolXjGh6GuKsrJggMgi0EaWMwmrVbJGtrREvzXSXYHYI0rU1GpLJuBBDL5oFi7DQsEN0gp9MhazZIqhtGffqAtHo2q3j93mZGIHEVFUVkjSbxyChWuYTlB+a7SmKydptkY53w6mXTgdWP0WJX0bv9wXvoOMYZGTFj0fMBTRaGZPU6yfqquefC0Nxvtk1arxHNzfXfIqw1Kg6JFq4jBMSjY1jFEtIPEJbsGuE6WL4kvHoVrbYP0NJqlfalD0nrNcIb10grFbKwQ9ZqoVWGMzpuiLe2bXRMalXi5SVTtr1LB9bW89RxTOv984Tzs6goIlqYu3fV4y2wSgWwJOGNa+gowl1Z7o7xWwN5HUdkLTPG4+VF0mZj54WIUkRzs+hoMzBdQuaLZiGmMmPQW1k3ROdqxcgzWBbNt15HOO6uNIXwxnV0liFdj6RaQSV3mde1JqvXaL1/nqzVNErtuqvXtMt1nHqqTHM1JGwk+1LyvR+QtmDqiTJxO2Xt6t1JyvcKofc7JL0PqNfrlMt76Fi4RxSeeo6hj79M2qjTuXbZPJybhmT5KBr5HSwEeX+UKG6QqgghJGOlx8j7o9Ra82w0rx/4GVjSZXrkOYrBJO/PfnlP+3AcKBQEYQidzjbdOwIKeUGztX0Q47mQ7/79AVYE7gpLQpATNP//7P13lCXped4J/r7wcb1JbyrLm672BugGGiAsQU+K4JJDUTRDakZDkdIZUprVakY7IqUjcY5mZnV0dqnZ5ZGWFKXhUqAkihToQIAkCNON9qa8T29uXn/jho/YP+JmVmVV2qrM6qrufIDq6r43bsQX7v2e7zXP27l3U3FLq7FtQ5KgWJCwrAjP39lvH3YIVUYfKeFML6/b8DLzyBjpEyM0XrqEu9S856aYDyrSTz2B0DScS1e2JP0fJAgJXvzrx5h8rcry9Q7d+gNqRG6DnlH45M+doDHb5eV/d/2u99NsNsltIdGwC82QPjjonH+HmX/3ayz98e8ShQHZR59k6Pt+hImf+dt3r677AYRAQlfTjJSfwNQL7/Vw7hqSBBMHZH76JzI88/T6MXrTFPzdX8hSKq7/fJw4rvLX/+sMx4+p7GKYf1cxOirzi387y732q1RkKOQlxkYldlKJm8kI/ubfSPPYoxr5/AfnPZN0FX2oQP93PoGkr1/R0zk3w+LvvoK70HjfEhwA68236Xzr1X2CcxviCL72a5eZeqP20BCc+439cNUOkDp4lMzpJxLXom3jLS9hT14jaN7ZVPKDgLReZqj4KIqiI4RM05qhac1iqDnSRh/V9jUcr4mmZDg09CLXFv6SKApIG2WGS4+RS42gyWk6zhIdO3GLZ4x+0kYf/YUTaLLJjcVvYnsNwshHklROjH47XbeGJClIQqJjV1hqXqAvd5SsOYiqpJCEwlztbSyniizJHBh4HknIyJJG162yUD+L491ZDjtSegJJUui6NWrtHawuetXgugajowr1Rki7HVPISxw7qvCX3/Du8PJMHJDp75c4NKGs8uPhYZm+skQmI7G4GHHxkr+hN1zXYXxUYXo2xPNiNA0yGQlVgeVqRH+/xMiQTLEgceacT62WeEGEgFRK8PijKjHQaERcvhJg6ILjx1VSpqDdjjh73icMk3GOjip87Zvu6iNuGIJcNgmzHTms0mpFVCohi0vJBocPyfT3yRiG4PwFn+VqhKbB2KjCpz+hIyuCq9cCrlwNuDEZ0NcnceyoytJSyMJiSKuVnPTwkES5LDE0KCNJt5Xc95A5PUb66BDmRB+RH2JdnKNzfhaEYOA7nwRFRknpWFcWaLx8Ga/SInNqFH24QGj7NF66hFpI0fcdT+LM1Wm9fo3B73sWOWMgVBm/1qHx8hXsG4lMROrIILmnDqGWM0iqQvONa1gX5/CrG7vcSx87SfrECEKWULImlT9+C3uyQugGZE6NYI710XpnEne+gVpMMfwjH6H2l+fRShlyTx3EPDTI6I9/jO7VRewbFbpXk95EheePkTk9hlrKMPdbX8edb0AUo48UKX/iNHLWQFJlutcWsSeXyT11kMjyUAophCwRdj3ktM7C776Cv9ze8jHPnRqi+MQYsp5MG27Nwpqs0XhndsvfoijkP/0JJDNJwI8cB+uNt/Hn5tHGx9DHR9HGx4jDEG9qBndyCn8hOc/0s09jHD9K1LFof+NlgmoVAP3QBMaRw0i5LEJVsd89izeThGGNI4cwThxbzQOU0mna33wZf24eoarohw9injhOHIYE1Rre7BzOxctkP/5R5HwOSdeJo4jO176JX6tvGco8/e3DSIpEe8nhxmtVZFXw0Z86imsFvPmfp/i2/+44siKhmTJ20+e1/zBJfbYLMeSGDMafKHLk+X5CP6I202XxYotrryxz/GMDjD9ZIpVX8Z2Q6bfrXP76El43JFXUOPnJIU59ZpjXfucGM+/UcVo+40+WOPqRfhRNRsiCVF7l1d+ZZPFSi/yQybGPDZDtN1B0iRuvVpl6s0ZrMQmhPv49o/QdyqClFBRN5p0/mGHwWBbVkHn5313nh/7Z05z9k3msuouRVfGckOk3qhx8ro/xJ4poKQVZkzjzR7MsXWkTR/DZXzzF8vUOmpmEuStXO1z/1s2wtmrKPP5do0iKYPL1GktXtn4Wd4J9krMD+M063SsXieOkp0rkOISOTeR88EJVuprD1ItIkkK1fR1VNpEljXLuMI7XQlVMhJABgSRkdDWLEDJh7OAGFh1nGU3J0OrO0baX8AOLlNFHTIzt1mnbS6T0IqXsISrNy9heHYEgaw7Q6s7iOhZRHOD5Foaaw1BzRHFIrX0dTUlTSI8B0LGXqLVvIBCkjDICyJpDt5CcGFlSKGQOoKtpOnYF22vs7GLEUCxKHD+u8thplf/yh/YqIVBVwYef03jzLY+uHaMoybaf+6zB4lJEqSRx6FDyGn7mkwYdK6JajRjol7h0eeOQv64LJg7IZHMSV676lIoSjz+mce68T6MZUyrKDA0mCcL/1Q+n+N3fs5meCclmBD/yf0mxuBQRBjGKDJNTyTaNZoTrxpimxJlekZEQkMsKnnhc5WtfT4hOIS84dVLl5AmF6zdCjhxW8T2F3/19mzCEgQGZclFCVuDHfjTFv/p1C+IkLNc/IGPbMaqaeLkGByQ+9xmTuYWQp5/U6NoxX/pTh3RG8OJHdVRVYFkxx44qKF9Zew0kXSFzchShSDRfu55MkMstgk5isFtvTyaNGA+UEZIgdbAfr9JCMlTktHGzDFiWUPIp5GYXoSlkTo1S+/oFQssl6NgEzSQ/TC2m0QbyyCmd1ps3UAtp9P4cQpKof33jlgD2dJXQ9hGKRProEPpQgdBycebqyIa2SkYQiX6PWs4QuT5upYU9XUPJpWifmcZbbOLXb+aqObM19OEiajm7mgwOoGQN0seGqH71HLEX4FXbRG6AWkjTnqmh9icq3c7sAsUXTyAp2yuckA0FSVdoX60Q+SHpiTLmUG5bJEfIEvqhCewz5wg7FpHjELXbCE1FPzCGnMtin79IHIWEjdaa0mlvfgHtwBhIYvU85VwOuVhMQlgXLyPnsqj9/SBJ2OcvIDQNOZclWK7iLyyhlIoYhw8SdW0kQ8c4crh3vIio2yWyuiilEnI+j7+0ROx6SCkT87FHCV9+ZcuWFs1Fh5FTeTJlnRuvVek7nEHIELghoR9x/ZUqkgT5YRMjqzL8SJ7mvI2QBcXRFAeeLHHlGxWiMKLb8LFqLlpK4fAL/VSudpg72yD0I5rzNqGfGBffCVm83OLUp4aQFQlJlgCBaspk+gwq19rUprvkhwwmni4RBTFmXsXMqVx7eZl0SSNd0ph4psy7f5jcw/5es9ypN+uEfkRrwWb4ZJ5UQUPRZbSUQmHUxMyrqIbM1Js1SuNpsv06oR9x7VvLpIsaQydyyKrE4qUWg8dyTL5eZbmZ5AxZdTexa1FMpqwz/niRdEln6s0aVn33K8n2Sc4O4Ner+PXqez2MBwKGlkNXs3iBxXLzMqqcYrB4kkL6AAve2bUb37ICjyIf12vT6s6T0go0rBna9gJCSKSMPsLQpWMvUW1dwdZLHBz8KE1rFturAwJZ1rGcKm17kTBK3LPF9ASamiGMPCynSqB6DBYfwfaatLsLdJ0qMRFCSBhajpReujk0IaEqKfpyR3D9Nh1n5yRnhXCkTEEmI3DdmCgC14tpdyKee0blN34z2VbTBBPjMseOqiwsuvgBqyGYJ59QmZwMaTZ9fH/z0IMAFFXw1BMKlUrIQL/MM0+rvPOul3hrTEEuJ+G4Md/x7QZf/6bL4lJIX5/ER1/Q+e3f6eI4SZ5QPi/x/Ic1vvxnLtVqtCaJ2uom5/Ls09qqxymdFhwYl3n8MY0zZy1OP6KSzwu+9BWHTicmm5FI97xK3/OdJr/1293V/UQRdDoRjUaMEHBwQuHFj+r8yZcdHj2tIsvwyqsew8MSRw6rNJsRCws+hYJ0R0RYThtoQ3mc6Rr1b15cc3EkXcWZrRGHMZImo5WzaMOFbd3POIrxKi38Woeg4+A3kwlO7cui9WWRDRVnpkpke2Qfn8DYIJQEgCTwGxaRkyS/KnkTtZhGKaRgbp3QS+9dCTouke0haSpaf5bWmzeI7LXhCGe6ij5UQOu/rX1JDFEQ4S02CNoOQctGqPLqb4zREkKSsC4vUPrEI+t6yDa8NkGIs9gmCkJSo4U15GpLRCFBs0lQrRHZDmHHQs5mUIpFoiCg+/b6ffn82TmC5eoatWG5WEDO50BV8JcqxK6LceoEyi1iiHEQ4C8sYp+7iFIukf/cp1FmZhGqhlwo0H3nzOqDLnQdfeIAciaNe80iqDdQCnmM544iXt96mly+3mH4VJ7iWApZFYw8UqBTdanNJN6a6mSHOIwJvIjyRJq+iQxCgJZKCEl20OTcV+ZXy+ElRZDtNyhPpHn3D2eZfbdx53WxQ+bONmgt2QTuWk9T4IUsXW5x/dUqxbEUH/9vjtNecpE1CS2tsHyjg2vpTDxdIlW8GSePoxi3HdCY7dJteLSXXZy2T6askynrNOdsjKyKkVUhjmku2Iw9XkTRZRpzNpe+ukimT+fFnz4CwOLlNnpGoXKtw/L1Dr6djFPPKMiqRHbA4OCzZTrLLnPnGnjd3a/K3Cc5+7grqIqJJCk4fuIR8cMucQyqsl6580ZW9M7PvaBLEHlEcYTjt9F6x0kQE0UBrt9ZJTgAhpYlY/ShKimyZlKm63htwsjH1IscGvwofmijKiZRHGK7NycXVTbJmgOYWoF3b/yntVVd28ToqEy5pHLlasD//ZebqwSh3Y65ejXA824mHadSiVfkq19z+darLqMjMqPDyUTRaCSenYkDMl/8Q2fTSqJ2J+YbL7n8b79S4I23PDIZQV9JZnIqRJYhDBNvydioTCYtoSqCUlHi0EGFV1/3+MZLLq1WTC4nePrJxNP0zZdcpmfWGplKJWJyKjmHW8V0XTfmq3/p8MabPumUxKFeiKrVCgjDmGxaMDwskUoJZAUsK2ZpKWR2NmB+IQmHDQ1IPP2UjmkmJGpoUMLqxhw5LHPiuMLFSz6XLwdMzwa8/Y7PmuIUAWo5Q9hKJvFbITQFc6KPge99hqBto+bSRK6PPbt+WwIhS6uPYthxmPv332Tgu59CyBL2jQqVP3iToOOgFjLoo0XSJ0cYLSTPedDqYl1pbHifZEOl9OJJUkeHCG0PrZTFrTSTbG4SFeLVt0CIpJfPPcKZq7P0+68x+PkPE7k+rTduYF1MKiojxyPygkQh2d55DoeS0Rn+3CnklE7nyhLW5PYWfbHv0/jTPyfz4eeQDJ2gVqP1la8i53KJR3yHjWXlXA51oB9tdASlkBShhO0OUftm2DCoNwm7vc70rpuooqczEIYEtfoaN6mQZZRSEW14GDmbWe2RF1Sr25JDcFo+vh0gSZAu6Rz+cB9vf3GG5Wtt0mWDT/zscZyWn4RzFCkJVQkw8xqSImjO22veL1mVyPQlpGKFGOwErQUbpxMkhL0boOgSmX6dVF5j7NEin/ybCTHvNn2WLt8MD737R7NMPF3mxZ8+itsN+NqvXcZ3AgIv5OCHytx4bZnhU3lSJR2/G9BZdsmUdSI/olNJPKidZRfNVFaJUOCGtJecO84j028wfCpPdsDg9/7nt/esMmyf5DyASIs8AT5u3EVBZUg+iBW36EYtXO5Tl+kt4PkdNDlFWu8DQFOSlYnntwkjD1nSkISELGuk9OIdv4/jEElSb6r+9qCrWRTZQBIyplbA8TuE0RYCZ26dtlPBD7rMLL+xcgQyRj/51Ai2V+fG4ksUsxOkjT4kcXP16Qddau0bXF/4BsfGPs3U0rdodKaJ1hEQ2wjNRoRjx7RaEZ/4Np2//Jq7YQg/isBxwDSTsmhFhpVelv/L/9amkJd47FGVf/G/F/ixn6qykQ5YFCXVXM1mxHPPaFhWQnoAPvcZg74+iWYr5gv/scOzz+h4XkwYJuQklxWrc2kynsT7spNFOYB7m3yKLAt+4HtNslmJy1cDvvjHPs8+o6+G7noe6kRPEfADqNUivviHDn/wxzaOHROT7HN8TEZVQdOSud+8Jbq0sjO/0kItpAg6a98J80Af5kQ/zmyNhf/4CoXnjqAP33wGI9dHyBKSofb6EhWRtMQUxn6IdWGOG1cWyJ4exxgvU/rkaZa++Abecgtnqgp+xMxvfnV1HPEmgorZxycQikz73SnqX79I32ceS7w4JCcauwGSmWgPSbraG2dPTDCKiaMoGecOEHYc2mem6VyYpfjCcZRCmsILx3e0j43gNx0WvnIRv9ll7PsfJ//oMM2z81v/MIrxbkxRm5pBPzCGNj5G5rlnsN5+FyltIvSdZd0H9Tr+wiKRZdH44z9NPlx5eFaek3VWCZHVSXqBDfTd1H6g5/VZquDNzdN+6WW82bmb+9ym5tPi5TaSIvHod4yipxWcpo+sShx4qkR9pstrX5ikdCDN6OkCRq5HMmoeURBTPpC6dTi9UJFDeSKNntq5Dtt6khatRQer5iFrEl/6f5xbFT289fGtXOtQvWFx9k/meOy7Rjn28QFcK8Bu+Zz4+CBf+ufnyY+k0DMqfo+U1GYs+g5lyI8kz3V+yMTtBNiNzUl0e9Fh6XKbK99Y4rv+x0f5L//oHVqLDlGwuwn0+yTnAUSfNEw37lCPA8blY4QElKRBUiLLbHjlvR4eAJZTRRIKWXOQQ4Mvosgajt9irvouHafCSOkJhkqPEgROUud4yzIl8aY0UGWD4eKjZFNDdOwksVMgKGYOkDH60NUMlebFdZOE145lmbTZT0orcmjwBQA6dgUvsPCCDgPFk4z3P7tKvIJbvEDJxBtgew2W6ufJpUZQZJOlxvltX4tWO+LymwGzcyHf8e0GU5Mh7U7EwIDMh57VGB1R+IHvS/GtV1ympkNefc3jv/3raYYGZdIpQX9/YsQ+/wMmpinIpCWq1WjNym49RBF87Rsu3/k5g7n5iN/690lYpdaIOHlS5bFHZfI5CdMUSBI0WxHXb4T8wPfJ/LW/miYIoFaP+No3HIpFkx/4fhPbjrFt+Pf/wSJlJrk3H/6QzviYwg//UIqXvuWRMtf3NsQxVGsRjz+mMXFA4eQJZZWkADh2zI0bAT/4AykOTshcuhzw1jseP/nX0mSzCdldXAr5gz+yefV1n8//FZPjR1WWKiGDg/IdTbiDjkPnwizaYJ7Rn/gYkRdiTy0TNCyCjkPhw0cZ/N6nk/wbSSJoJ2TImamRPj5C5vgwStogJkbWVSRZQuvP0v+dTxF5SQ5LaHs0Xr1K0qSyjlpIoQ/kGf6hDyf7WmjiTFfpXllf4dmZq5M6Mkjq8ABqPoWST6/qnkRBSHeyQulTpyl9/FTikZJWZrqYsOvi1zuouRTDn/8Q1tUlnOllnJkakqmRf+4I2ccOYB4o0/epR+mcn8WerCCndIofOUHkBWgDOZyZGvZkBX3w3mU3lLTG4CePEfshsqFiz2+j1YwkIadMsh9/kTgMkia7QmC99S5Rx8KdnEEdGqTwPd+R6BstLuHNzhMsVxG6RvqpJzCOHk6SiHUN99oNvJk5gmoNOZcl/+lPAuBXKvgLS/iLixsOJXI9omYL98YUhe/+HLEfEDab+Ms1/Nk5wlYT85FTmCdPEEch3vQs7rUbia7XFmjMdDF6pdFXv7lMt+HhdALqs11Of26Ep39wHCFJqIa8mlfjdQNqUxZzZ5t88udPEHoRrUWH6pTF3JkG115e5tjHBzn64gC+E7J0pc31V6pEUUxuwODYxwYYOJZDCEHpQJrq5MYJ8I25LkJA+UCaF38qCSc15m2Wr3eYPdNASys8+rkRcoMGcQylsRRn/mQOq+ZSHEtRGEthVR2clo+b93GtRJdp4XyTTEln6ESej/03xzDSCvMXmixeSp6NjTzScRzjWj7LNzqc/ZN5nvieMa58o8LsmcaW13on2Cc5DyA0YRLgowiVjFRkPrxGUZjoGO/10FYRRh6216TVnUeWNYLIXc2VCUKHhjWDQBDGPmEYEIYOYbjilogJQjfRwhGCIHQIIx/Ha9KwpnvhKUEY+b39Jb+L44hK8yJBtNa9EURJHk8U+Siy0fvMwwtsvKBLszODF3SJ4w5xHBKE3ur+LGeZMPKI4oCGNUPWHFo93laIY2i1Y958y+f6ZECtFnH1WrDqNfHcmFo94k+/4rC0FOK4Ma4bMzsXcv5CgGXF1OSkGqpej2i1Ymw7plqNmJ0Lt1xAxjGcOeczMiJTrUbMzyc/mJsLuXjJp92OaLUi/uwvHJarEa6bkJA33vRWlesbjeTYb77tJx0O4sRDFEXJAta2Y+bmQr78Zw7NVoTvxzT9mGvXQ/wgJghjZuYCXC+m0YhwvZjzF3x0PanS+tOvOHS7iZVz3JjJqZDLV5JrVatHzM4m18Jxk7CNZSXHnpsPuXQ5IJ8TdLsx33zZo1KJ8Nxbcy4irCsLhF0PrS9LFIREtoff6BJ2PayLcwQtG7/eJQ5CAitxpwcdB3uykrTQ8JLPw46LM1cjDiKCVpfID5PE41YXdz4Jb0aOjzvfwErNo/a8MVHXJfI3Vkn2ax3sGxXCrkvYcfDrFpEfJNVMUUzQtrEuzCFkicgNiFyf0HIJLZfYDwgaXdrvTBH5QRJq8sPVmx/ZLs5MlaDZJah3CLsecRARecHqOUS2hz1TxZ2v08mYBJaLfX0pUQp3fVpvXifsbi9s5VYt2lcqSZI0YC+1cZe2VwkTRzGRZSUCkl07UVxeXib2fby5eWLfR+0rJ53XXe+m9ySOiWwHd3oGIcuE7Q6x6xE5Nn6lknjAMplkU8dNGnFGMWG90RPYS65z5Hk4ly4TNltEjoNz9Rr66AhxGCSCe65LZNu4N6aSai1FgagnWrpNKTmn49OY7TL9dp3JN6rYzSSE1Zy3mXmnjlX3CL2IKIjxnTARtwxjWos2k29UGTyeI/QjnI6Pb4cEXsSN16v0HcygpWQCN8LrhqvtWkI/wm75XH+lit3wsKourhXidgKIwaolhQJeN+T6t5aTkBgwe6ZOppzYSbeThKKSSx3jdny6ukQUJv9evdHBtQKiIOby1xbx7IRoWTWXwEuIWreREBUhJUnPXsdn8VKL+lxyvIt/sYjvrDVmoR8x/U6dbt3D7QRMvVlj/MniHdvtBvbFAB9AHJGfwMOhHdcYl49z3n+FYfkQMio3wrNb72AfDwVWSMWKGr8sJ3+EYMMw1XbRa8hMGK5vo1WVVSKzghUdnLtoqr4GK43fN1IoXulTGUU3z13Xk7HcPl6p14YoePA7muxjH/u4z9iOGOC+J+cBRIBHWRpiQIxxxX+bkAAJGVnsPDa7jwcXt3tqVib53cBKJdNGWE/p/l7JzQq2Oof1HB8b5h7FEO0TnH3sYx93iX2S8wBiNrzCfHgdEAS4xMTMR4nWyz72sY997GMf+9ge9knOAwiBREpkSUlZvNilGs2joiKQcPngCQ/uYx/72Mc+9nE32Cc5DyDSIkdWKpISWWIB9WgRU2SQkOnEjXvevxASsqQhyxqSUJAkGUnIvXJugRCCpA4zTpLciBOtiTgiikOiKFj9O4x84h2UW98vCCQkSUGWteRcJQXRO8f1zi+KQsLIJ4p8wsgnjLxNS4MffCRK04qsI8v6pucfExFFK/c1IIp8gtDb2X2VJSRTJ3Z94uCWxBpBkqQTbrOF+H4SzvsGiqwjSSqSkJM2LJKKEAKBlHilxW02pmdnoigkjsNVGxOEbu9dfPDSR0XvHVNkPbGht9nSBPGq7YyjkDAOCEOfILQfchuTQCAhySqypKFIKpKc3POb93jlPkfEcdyzMUHPziY2dy+vw/ue5Kx92O7E/ZmgxR16MGvHsPYFHpAP4MZdFsIbHJBPIRCYIotyz7crmfhUNU02NUg2NUTKKKFrOXQ10zNKGrKceI3iOFx9EMPIIwgcHK+J7dZx3Ba228CyK7h+K9ELSYQq7nGM9w6BhKqapI0+MqlBsqlhUkYZXcv2Jn0VSairL1sQunh+G8tepmNXsOwKbWseL7BWDfD9HP1N43A74m0aA4Ei6+hqlkLuAPnMOCm9iKamURUTRdZh5f7GAUHgYrt1XLeJ7TWw7GWa1gye1+npBcW37x6EhFAk4jACIZAzJvrRMfzZCkG1SewliTdCUZCyJlHXJXa2qOKRJYSqIKUNwuo2SpMfGOzs/X4vxrD9Z2c3xiEQQiGfGSNllDG0PKZRJGWUUSQtIT6SiiJrPRtzc9ILQhvHbeL6HVy/g+3Uk2fRt3qT4YNhY0AgSyqamqKYPUguPYKhF9DVLLqWTRaQPRHTKAoJQxfXb+N6id1sdxepNa/iB13CKOC9OadbF7S3Iu79f+vnRSChKObqfJJJDZI2+9HV9JrFVRh5hKGPHzrJNbCria11lrGcKp7f3rN7+z4mOYJy/jBHxz9D2uxfd4soCnj9/L/BcpaJthCcu1sUsgfoL55kfPBDG25zeepLLFTfxQ+SkrsoDvFiByfendCUEDIpo8xo/5MUshOYerE30a085LAeERRCQpJUbkqRxeQZS8jMipBUHNF167SsWVqdueRva25Xxr1TqEqKbGqIscHnKGTGURQjWTVucI6SUJBkBUU2MLQcufToLZ6NgHrrOnPLb9Gy5nG9+zPp9hdPMFR+lP7iyTWfR1FIszPN2Wu/h+dvVLYrMPUCY4PPUsweImP297w365+/EBISKqpsYupJteKtq+pOd4la6xq15jVqrWvJjyQJ4+QBMs8/SmQlz6v15iX8+Soijkk9cRTrlfMEtVZyOFVByWUIgohwC5IjZBnJ0FHyGcJa68GYy7ZAxhygr3Ccw2Of2HCba7NfZXH53Z33RNsmZFlnsPQIx8Y/iyyvL6pnO3XeuPCbuH6Hvbqwpl6ikD1AOXeYYv5Q0r8OqdfAdr3JFIRQUGQFVmsqimRTwz3zcvNZ9LxO0tOuO0+lfomWNbdG9fx+Ip8eY6D8CIXMATKpwURcVKxkTN55jrIk9QhRhmxqaNV+RnFI25qj3p6k0rhEqzNzX8/j8Oi30Vc4TiY1sOZz12vT7Mxw5up/3PC3KyKvY4Mfpr9wImnSjLQBaQJZ0pElHU3NkDbKxLlDq/c3igM63SXmlt+i1ryO7a6vTH63eB+TnJ4bTSjI0kaKob1Vxx6PIgkPbaxaevsKzMPBlDKMSIcxRZpx+QSSkLHjjYWe1oMkqeTSI5RyhygXjmKoORTFQF5HaXi757L6z95Fi+OYlF5CU1IUMgcIQhvbbbDcuEK9dX1LIb/dgKqY9BdPUsgeIJcaRtfyt71020Hv3ATEsYQkyxSyBzGNMlZ3kUZnmoXqGfxgb3OiBMkq+PbnRQgJXcshbXDfDC1PITfBWP/TGHox6cbeCw9s98jJcW5+kjb7cdwGHfWmuJp+eBgll8a9OoN9YQqAqG0RRxC2uigDpWQnAiRDJ/3h00Rdm7DrQMsCAcbJg8i5FFLaQMgKzqUp/Pll9EPDqIMloq6De30eiFFH+zGPj4Mi481U8OeWCZs7ew/2FqLX4X7j91sS0gaeud0awcqCZGNbd7M1ym4fW0JRDIb7nqCcP4KhF1AVE1U2bwmN7nyvt9oYIPHCKiYpo0wxdxjHbdDuLtDszFBt7r1AqiypGHqB4b7HKeUOJ8rsPVsK7Og96wVvkIVENjWEoRco5Q5Ta11jrvIWrt8iinap1HGzkWzwzKiKia5mNvxdPjtOKXeIvvxRTL2Eqpo7trW33l8Ry2RSgxhaHmUDkn4veF+TnIcV7aiGIaXRMenSBmK6URMr3n4LekXWKeWOUMxNUMgcIJsZBlYfr12DEAJZVpFlFZ0scRyRMso4Xov2Hnt0hJDQ1Sz9xROU80fJpgYx9MIu7DdZjWhqKvmjpNDUDCCo1C8krvN4743QmjEh0JTUupNlxhwgnx2nr3CMfGb8Nu/N3UORNaI4WPUwAijlPEJT8OeqBIs3V1xCVxMhthUvQdzzCgUBcsZE0lYMqUAdKCJkKWlbEPoYR8cIKvVECVgI5GwitCfnMyjFLFLKwK82iR1vW32EdDWHqpjEcYTt1u/7vfqgQJJUTL1AMXuQgeIpsukhZFnbkyrQJKdHQVUMDD1PyigiSSp+0KW6x+soTc2QSw1TyI7TXzhB2uy/y0XiTay8n4pioChGEuKSVKIopNGepGMv7fmCaiNIQkZRzHW+ERQy4/QXT1LMTpBNDd8Dkb1lryIJryehu92PqOyTnAcQ9XgJLTQwRQZbdHBiCyfu4rM9hTghZDLmIAeGPkwmNYSq3D+lZCEkFNlEFolq8V4eR1PSFHMHOTT6bUnD0D3SEdK1LKqaJpMaJAgd6q1JXL91n5MGRXKOrDWuqmwyUDyVEJzs+K4eMY4jHLeJZS+vfiaZek9JdutGprEX4FydJfXEMcSKAqAAKW0SLNbwF6qElkP5Rz9D51tnCZYaCFnGODaeNOAcLCKlTfxKA+uVc9sed0ovkjb7e0msftLwtZcs/yAmyT+cEJhagXL+KBPDL6CruV0h1tuFIhsosobYY+0wSVLJZ8YY7nucvvyxDcOB93wcIZNND2HoeQw9z1L1LPX25HtC0CVJQZUNVhKGoZfnqJiMDjxDOX8UXdvY07NTrITIO91FPH/nDZK3wj7JeUDh4eDFDs3ewrggBkiLPLVo/R45K0hWV0WeOP5foSjme6ats1A7u6ehqow5QF/xBEdGP8Ha3KK9gSQkVCXFI4e+j+tzX6dSv0C7u43GhLuE5PxkFMVA8pSe8RMcO/AZyoXj6Gp214/p+RZdt4ZzSy5J1LKQ0ibKQAF/8e5j52HXIew6ifdng1snNBXR23YnqHcmaXXnSRt9jPY9haKYOG7SMqTRmbrrMe/jJgwtl+R0FI8jS9p9JTgraHcXWG5c2rP9S0JmsHSao2OfQtc2V9XdLSiywUjfkxQyY1ye/jLLjcvc7+S0lTCWqpg9L26MaRQ4PPoJhsqP3bMX607EuH4Hy14mCHf2rm8H+yTnAYGMgkx6w+9zUgmAGpuTnIw5wOHRT6AqJptN/nEcE8chlr2M47Xw/A6eb62WhAshkCQVWdbQ1XRSNaBmMfTCpuGQMPKxehVKe/HAQpLMPdz3JIOlR9jKWxTHEX7g0LbmcbwmfmCvVowpsoYiaaiKSdrsJ91LItzMYAshMz74IVJGkRtzX19tLHo/IIRAUzPIcgNFGAyVH2OgdBpF1je9z67fTvqDhT5R6BMTIcsaqpJK8ifWdU1DozONc1vCtX1hCuPEATLPn0Y/MkpkufizS8RBSOrp46hDfYTtLv5shcgPyL7wKNrYwGqUzZ1cnxgq5RzaaD/6kVHU/iKpR4/gLVQR4xrpD59GOziMP1vBnVxIkpI3gSRkNDVNNjWEqqToOjWC0MbUCmT7B5irvr0nbvEPCgSCo+OfppA9sCXBiaIQP7Cx3Rpdp7ZaJRX1SsQVWetVWuloSqpXjVVIKjw3mUwtu0Knu4jt1PfiFNHVDIXsBMcOfPvq+7HZefpBUhVmu3Vsr0kQOERxgCDJx1QVg7Q5gGkkVY4beZ2TY0ikjDInD3437175HTp25Za+f/cHSQ5gliB0V0NUA8VTbGZvoyjA9S2C0CYMPaIoBAGypGFouTU5TLf/rta8tmdeq32S84DAFGkGlNENK6ryUnnLaitDK5BLD5NLj7ARwYmiAMdr0+xMJ40r/c7qBLiiDRPHcVIRIWSkWzR1FElDUUxMvYCh59HVXOJe1fK9SUwQhj615vU9m0Q0NcNw+XGK2Yle9dT6L91KeXvHXsTqVnB9izB0CeOAOAqJiXrnl2h4aEoKXcuTTQ+RMQfIpAaQhLLmGq78u6oY5NJjjAw8zZWpL99Xl7KiGJh6AU3NMFR+rEdw1k4Glr1M10k8MLbbwPM7RFHQ0x5JyplFL1lWltReQmcpua9aAUPLI0kKne4Cnrc2yTdyXLypReIgIPaShpJRu0scRXTfvIxkTuFX6kQdO/ns7Ss4V2YIGx2CWtIs0T5zjbBtEXUdiCLaf/kWQa1N7IcE9TaSoePNLxO2u3hTC8SuR+z6BK3eb7aAqRcx1Byu12bBqeGHXeIoREgK+dTIbetiQT47Rqe7dN8nkocRklDImAPk0qOoampdGxPHMWHkU2teod1dShYXvoXfszNxHPYqjCKElGjKrBSIJBIHBpqaRlMzpIwiKaMPXc0gyyork2yzM0PXqW2rzHmnUGSDXHqUkf6nenlw6+cyBqGL4zWpta5jdZfw/C5B6BCELlEc9MLZYo2NUdUUupYjnx6jmJtYtwhkxWurq1nGBp5jauFlOvbiexAeT0hnKX+YcuHIHaG6KAqxnGU63UUcr9lbKHeTc49695gVLSENRdZRFRNDy5My+0kZJVTZIIpDWtZsQor2APsk5wGBIjRyooQfrl8WKZC3DD2ljDLZ1PC68dLEcxMlGiidGSqNi3fJngVps0zKKGPqxVUtGlVJ9ZLHbGrt63uS+yCETDE7QSl/OPEo3XY9VmK7ttug3r5Boz1FszODZVe2tX9JUinY4xSyB4gin1x6FElS7jDkQkgYep7+wgnmK+9g2Uv3jehoSho5pZI2+8hnRlY/T8QMXWynTr09Rbu7gGVX6DrVLTxqSdJfJjVA2uwnZfSRMfsxtDxtawE/uC1GHsUE1SZBtZmI9t3SICus35kY77Sn7/jMm1rrjbTPXE923e7izy2v+S5wPIJK445jbQYhZGLAdqt0bylHlYSMKhtrJguBIJ8Zx3Eb+yRnG5AklXx2HEPLrbsqj+OIIHRpdmZZqJ6l2ZnB9ds7tAdJ0r+hFciY/WTTw6SMEpqaQZUTz2OjM4PtNnbtvG5FxhygmDtIMXewN5qb7/9KP2vP79B1qjQ6MyzVz9GxFrdlA4SQ0ZQ0Tr6JEIJMahBNSd1R/bbi0ekrHKfRmU48RXskQbD+OAW6miFj9lPMHiBziwxLGHqr46m1Jmm2p+i6NVyvvWlZvyQUFMUkbZTJZkaSyjItj0DQtuZ7mly7j32S84DAjR0Wo2mmwgvrfj/EQeQtblc2PUj2lonvdvhBl+nFbyUVQneduR9j2ctrklENLU85f5RcZhRJyNSa1/dg1ZFMxodHvw1dy2/g7o0JAoeZxVeZW35zTVXQdhBFPrXWtYQE1i/y6JG/QsooA3eGsGRJQddyjA99iCvTX9lEu2Z3kTLKpIwS2dQwK6vaJCRn0bLmuTrzZ3Tsyg4mlZggdGi0p2i0p0ius0Ypd5hGe4pgs4l/m6RjV7CDY3XsRW6K0iWr5ERpNaTemVy7sYC0OYAs7U1C6fsNsqxRLhzbMOE3jHw63SXOX//9XqjzbvJJYjzfwvMtWtYsLL+FqqRIG30Ucwcp5w9Tb93YnOQkWhA7PrIQ8qpO1Ubl+FEcUKlfYql+nmrz8o72H8chrt9ifvktGu1JDo9+glL+ELqa6x1/redYU1NJWD6OmK28sePzuVsIIZExBxgoncbQsoBYXUR23RrLjcssLL9N544F5M1k5dsRxQGe38bz29TbNxCSjKkVSRklWtb8nhUF7JOcBwR23KEVbuxxWA5n2Sr/JG30kzUHNvx+cv6b1Fs37oHgrA/HazJbeYO5ypvA9pQyd4qUUWSgdLon7Lj+dWh3F5hefIX5ylurrtK7QRh5tLsLvHXpt3j82I+QNvuRxZ0GTxIyw32Ps1Q9S9MK70vJ59jAM9x+/vX2JEu1c8xV3toFgbSYIHRZql/goVDjWwcpvUQ2NUQpd3h1FV5rXWehfmbd7R23vpqbtFNi/EGDLGmUsgc3zJeptyaZX35r14sO/KBLozNFozPNjfmvb76IkiUyj03QvTBD5OwsbD7a/zSF3MFNEo1jrkx/hUr9wj17kmy3zuXpLzFonebI2Kd7Aq13opg7RBC61FuTdN3qPR1zu5AljYMjL7LW1sQs1s4yOf9NOt213mshJBQtTaY8jt1axLObRGFP9VzIqHo6yVMKbtqnVGEYWdGxeyGuvcI+yXlgsLmkdUCwKcVZaVewWUllszODd3v4YdcQ3xOx2AxCyKT0MkPlR9ko16hlzVGpX2K5fmmXxhHjeG3mKm8xWDpNMTexzsCS0spy8ThB5PY8IXuLWyeXOI5pdqaZXvgWjc70LivAPpwEByBt9KEpaaaWXiHuxfk3DtkJUmYfmfRQr3+Xv3rm85W3aLYnN/jdBw+SUFAVfVNhQddr0rL2suowXg0ZSaaGUshgHh5cs4WQZdKPHsCZquyI5EiSylDfY70cw3VycAInWVDUz+N6iX7ZvcIPbBqdGWaX3mBi+IV1txFCkNJL9JdOMjn/jXs+5nZwu3JxEDq0rDmuz/7lutpTcRytLm4zfRM0Fy4ThYl3W1IUZD2VJJv3SE6mPIGZ6yf0HTx7b4WOdrsWbB+7ABVtNTQlIZERBXRMJDYmMEmzzc0rg7zA6vVJebhgaPkkX0Qv3fHdSq5RszNDoz25qyQujkPqrRtYzjJheKexFL3/5TOjGHqRvdQFunNsEUHosFg7S8uaw/MfJBXg9waJRpOBIptIkkoUefhBFz/oEmxAAOM4ot66Qaszi2Uv0nWqq3/CPaoOfFghJLmXKLtx1WbQu+b3A1JKRyllEIYGiNVlYixIPttBWbskqWTMQdJGeV3V3TiO8QObSv0CrtfatdBKokXVoNa62qtsvZM4CQSalqGQPcB7MWVHUYDjNlmonsWyKxsWlcRRSBi4KFoKISXjFLJCujiGZmSRehVzqpEh23cQPV1G1lKIHmkWQkbPlMmUJ8j0HUTR07tSrr7vyXkAkRI5fFzsuIMuUhSlAZy4SzduYcXrl89KQoUtHoi98rTsNTKpQbLp4Q2FuIIgySlpWbO7fuyOvUTXXsYLLEy5sP74zEFMvYAsa/cteTWKAmynzvzyu++ZMuqDBllSMbVCrymgRFrvw5OTa+MF1gYhlJi5pdfv70AfUki9XnZb4X7ZGUlTkDQFv9IkaFg3PTyqgj5aJt5BJ3tF0ijlDiHLxroTaxT5OF6TSuPirucb+kG31x+vjdmT6LgdmpIimxpGkfWeV/L+2XIv6NK2FlhYfmfTexvHEaFv3zK2RIYkXRojcC3cbgMhyahGhlR+iCBwkBxl1TMo6ybp0jip3BAQ0xQy3cYsoX9vi419kvMAYlA+QCduEIQ+h+XHaMc1+qVRXEpcDd5Z9zfRLeXfG62yUnqRILAfuryDQmacfGZjNd9K41JPl2cvCEZMx16i3rqB2f/kulvIkrKaB9K4D+GNRPumw9TitwiCW43KBxcCCVVOUciMIwmFOApJG/2rylNte+G+9FF7PyMJ53mb2hhVMTG1/H3Rj/IWG3iVJgS3kQ4hiByPyNq+PVAUk8Hy6Q17w3XsCtXm1T1R5IWERC3VzzM28AySdKduVeKl1CjmDlBtXtuzhtK3I45j6q0bzNfevYtweEwYuNRnz5EfOoGkaEShT7e5SKtyDc9u4nSquJ0kz6g4fApJ0XC7NXynzeDR55k9+2XsfZLz/kNElBhtoaMKjcVgCmSxabjKC7qEodsT8lv/tg73P9kr77y/3W7vBbqWJ232rXbJXg+11rU9Mz4Art/GcjYvQzf0PBlz4L6QnCjysd0GlfqFPUnyfpgwdPSjZPsOISsaF7/+68xV38LQikiSQtdJKgDTRnlTApwy+hjqexxZ1rCdKjOLr9JXPInVXcR290Zs7mFEGPl4gU0UB0jcKa0AkEsNM1h+lM7Mn+39gKI4+QNoIyWyTx1GGyxADJ0zkwS1zra8OYpsYBpFMuYAG4Wck3LxO+UQdgtxHNLuzhFFT2y4jSRk8ukxGu2p+0Zyklyc2fti1yQlaRkT+R5R4LF45Zu7kq+zn5PzACKMA7KiyLB8kOVoDp+EQUub5HzEcYTrtXE3KWUuZA7QVzi+qVfkQUMm1Y+qmOu6kFfycdrdRfw9zJ/w/S6Ou7nKrqqkMDYhYrsJx2vS6S7ukefq4YKs6Kh6GkVPExP3lKwT9dwVZWtTKyS9ldZ5f4SQGCyfxvES0cSVBq+59DCqurEC+QcTMWHo03WqbOQ9XOmoPVA6tWe95NZD+tEJvOUWrVcv037jCsbBQSRj69Aa0BMdLCNJ6+c0Jra1Rdfeu8qmOI6xndrmWjFCwjTKe96v61a0uwvYbmPdnMRbISs6eqpIpnwQMzeImR9Cz5TRzBy5/kOk8gOk8oPo6TvzKlfQrc8AMUauDz1T3rX2EfuenAcQ3biVxL+RqUdLxES4sU2wxcNtuw26Tg1TL97xnRACUy9Qyh9OHp44ouvWCALngc7VSRv9G5ZWQkwYebhei2gPE6qDyN0y70WR9V6n8r2H47V7XooH9769V9CUFGmjhKakcf2EmOpabpPJQ5BND1Ofv4Gu+Rh6bvU3+9o5dyKKfNpW0hdsvUlIVUwyZj+DpdP4vo3tNnrdpXez8u9OaP053Oll3JllhCyRfeEUkqkhbA/CkPj2kNatv1XT6xY1rCDxYHXxgr1L7o+Jcb3OuonHKxAIDC23B72jNoZlV3pe8i1sTU+TKgZ8x0IAkiQnjjYh8J0OcRQhZAVi8OwmgdsluoU82e2l1aTlKPQJA2/T67Fd7JOcBxCL0RSL0fSadWc12ross91dwDSSlRSs32ulkBknbfRTzB7ixtzXaHSmCUKnl0z34E2amdQAirx+F/UojnD9do/g7N3YoygkiG6+cOtd1xXvwf2A57f3wygbIJsaJpcaJaUXMbUCK+JlXtDdkMyHkY8f2ChK0nlZCPmuhOQ+CAgil+XGJQaKpzbsYacoBoOlR0mbAyxU36XevE67u3CzncNejKvZRc6a6KPlnhAgKIUMxBA5HkFj43C2rmZJG+UNv/d86xYbuVeIe97ojfMqhRAYWhZxHwMwXWd5W4UNoe/Qbc7Tbd45Ty1dvdMD1ly4s7Fq4Hapz51L/qO3EN8N7JOcBxAGabJSgYwo3JKHI+jGLeaj6xv+rmXNIcsafYUTvfjy+lBknXxmlMeP/whdu0K9NUm1eZXl5uU9U528W2zmyYmjgK5d23NPVByHvRVHzEYx+4Tk3J/whuM26XTvX2PQBxtr9aWqrat0nSqSpGA51du2W//3jttgZOAZDD2HoeU5eeh7cP0OQfhwJejfD4Shx1L9IuODC712Lus3d4WkPcLRsU/hD9lY9jKzS69TbV3B87vs9qLEr7ZR+3JoI4lHxl9qYJ4YJWzZ+EuNTUmOpqYxjY09OY7bvC/FGlHkb0GkBJqava+enLa1+N7IU+wiodwnOQ8ghuVDCCFwY5uiGKAd11GFvmVbh6TlQoUbc1/jkUPfh9TTtLgdK58JBKZRQlXTFPOHGPc+RLV5tdf8rvqea6+suGclef3YuixrFHMTPHvqp3bFrbkZbm0OuD4EQpKSvkl7TBTDyNu1HCQtVWDwyPPEoY/VmEc1suQHjqKaOULPxm4t0alNUZs7d5vhEShaiv6Dz5DKD6OZeYQk41pV6vPnseqzuFZtzbGEkFD0NAOHPkSqMIKiJZ4vz6qzPP0m3eY8vnPnMyeEhJkbYODgh9Az5aRKw3eozZ5B0VJ3TAyyrPUk+bd+JuI4YmbxVVJGH4aeR1VTdO1a0px0X3toXcRxyI35bzAx/BEKmQNI0p1h9Jt2R6AqJtn0EIfHPsGI9zSWvUTLmqfeut5TDb73d9dbaqINFdEG8hDHWOdnsK/MEXZdYm/z91FVDPRNQs259DBHxz7NxNBH7nmcW2ElJ2wjCCEhSRKbtU/YTSShxvuT5LxX2Cc5DyBUoePFNlbcoiD6aUd1clJpW27KREFzmsX6ecq5w6hqatMEwJVO1JqSxtTyyFLS/NF26thuHctexnbrhKF3nyt5Eo0FWVY3PG8hJFTFJJ8Zu4/jWh8rCqFCSHtKcuI4SpRDdykHSZJVzOwAipZCT/f1xh4TOB1kzSRTGkc1Mnh2i05tGohBCBTVpP/gs+QGktYJUeASE6OZBUojp1H1DPW5c6vVEUJIaKkC5bHHyfUfJoqCRP9CgJYu0HfgKepzBu3qDXznZvK8EBKqnqH/4HOkS+NEkU/oO8ShR7bvIJqZR9UzazoYrzSL3R5ET2QteXdst47jNnDcJg9i+PZBQcuaZbmRhBzymfFNhUiT8mcdRdbRtSyGlsPUS6SNMh27guM2cL0Wjte6a3l/faiAX2sT1FrJ81lIE1oOYWtzD8xK9/PNVJwVxeiFMt9b3FycJtd6Lxd2K32qwijY4zDd3mOf5DyAiOIAJ+5iRU1CKaAbt8iQR9oGyYnjEMdtMr3wLRRZJ5saQlPTGzabW4EQAlnWKGQPUMgeIAhdbLfBcv0itdZ1HC9x2Yahd186bgsheoZF2lTF+UHDXsfLE62ShIjsJlL5ITQjR6c+TX3uPJ7dIl0aozRymlz/EVyrgVWfIY5jZFnDyPQxfOLjeFad5tJlrPoMYeBTHD5BceRRVD2LZ7dXSY6sGqQLIwwdexHXqtGYP49jJeGk/MBx+iaeJo5jQt+heQvJkRQdI9vP0JEXaFUnaS5exm4ugBD0HXgKMzuArOo4t3iNVNlEV7NoSnrVQEdxsO6KVAiJgdIjvaazyYQbRSGKrPUUaB9uA79X8HyLpdoFgtBFVVKk9OKGnuNbIUsqKaNEyihRzh+h61ZptqdpdWZp9DqWh6FLFIU7WlQZh4dovXIJZ6qCJEsM/LVPIpk6UdcjjqLVUvM7xiPrvXE/PIXGyVj33iZG7wOCA/sk54FERERMjECgoDKqHCMtcjjxdrVgYlrWLOev/T79xVMM9z9B4Zay8e2QhoQgDZJNDTIx8lEsu0KjPcX88tu0rLk9f/gFEpqSeqgIzv1AGHl74CkSKGqKuQt/QX3+HHYryfdpVa5CHFMef5LcwBFmL3wFYjCy/fRNPIWqZ7jy8r/DasyvqpI2Fy8hKSaZ4iiDhz9EfS5pipntm6A0+iiKluL8X/4arlVbbeBXnzuPmRskXRxLWnQs3ezsbOYGKI8/AZLM1Dt/gN1aIgqTSp3GwiVOfOQnyJTWSiJEUYCuZTk+9u24fjvp8WVNU2nemewYxyFnrvxHCrkD5DPjiSCcpCbkvnm1Vy69j/VguzXmKy3qzRucOPhdFLLjqxVp23lvhRCkjT7SRh/DfU8SRj7LjYssVN+hbS30uphvD0HdQsmnMQ7cPLZazEAcE7s+QXP95FlVMbdcAH4wEfcq4h5+b+Y+yXkAMRmeJ+4RncvBWxSlAWos4MQ7yxHwgi7z1beoNi9Tyh3iwNALmEZxB678BAJptXfUYOlR2tYsS/WLNNqTe6dsKkQvD2YfaxBv3sj1LndKGHpYjTns9vKabwKvS+BZGOkSK6tHzcyRLo5jt5ZwOvU7ZNed9iJmtg8zP4iQZOIoxMj0Y2T6sVtLuFZ9leCsoNuYozB8AjPbt/obAEVLYWT6sFtLeHZrleBAknhut5ZQjeyafTWsaTrOEpKQV5PSN27QmRCdRmuKjrXIspanv3SCkcFn8PzOPsnZAlEc0HVrvHvldyjlDtFXOEYpfwRzi9yS9SBLKv3Fk5TzR3HcJu3uPHPLb9NoTW7p1fHrbZRSNhEDBPxKE/PYCGqri7/U3JDkyJL8UHlx7ice1IrbnWKf5DyACLk5AXjYNOIKYRwQstMEsJgoCnC9NrXWdfygSzY1TCY9RC492tNc2N6KSyCDLCNJKtn0CKqSopiboGXNsVg921sx7553J8lwuX+iVw8L9qrXe+jbSQXZbfcwjuPks1smAklSEgE+u4y5HQAA45FJREFULcXEk9+72ll4Ban8IFqqCHGEpGiEnoMka6hGGlkxOPzMD93xrKSLY2hmnsBPtg2jJJdCklVk1SD07XWfrzB0iUIfcUvyqxASqmyQMvqS5zuOsdzqBhUygnxmLJEq6IlOen6Hqblv0rYWdnoZP6CICUKHRmca12tRb90gnx2nlDuCoWU37Dl3K1bskCySHEFJyKiKia7lqGcPUG9ex9qknNm+NIfQFIS8lrDEfkBkb6zRk5TB75Oc9zP2Sc4DCAkZDR1V6IQEdOMOCioyKhE7V7mNiXC8Jo7XpOvUsHqVU9nUMLqWRZUNZFnfNuHR1HQioGX2kTLKRKFPozOD4zV2tdRyq/FEcYgf2Pi+9UCsNzZTgn3QkRCcDcZ+e+V8rwu1kGSMTHnV67K6eRzjWjUCt7v6Q9ETCxOSjJHrv+NYUehhtytJqOy2254kWW6wqozphXZvQu8p2BpqDoiRJGXTarS02Y+u5ZAkmSD06No1Wp3ZPRewe7/B8zt4foeOvYTjNQmjgLTZh6Hl0JTEZiTJ+VvbGVnWkGUNXcuha7lEoqE93VPgvVMjyq/crfz/1mPx/C5B6DwwVUbJOB5OO/NeYJ/kPIAwSFOSBylI/bixzbXgXbKigCTkbYkCbgbLWcZyllmsnSWfGWWgeIp8dpyMOYC8moC3PUOU5O0Mc+LgdzFXeYul2jlqreu7lpi8lWcoCn2a7WkqjYtrqmveKwShvafKy3uJON6+2YzCkMCzCX2XmXN/SuB11/3xagUVMVHo47sWvmsx9c4fJnlF6/wmDBxC/yaRj3v7ULTUuituSdETiYFbSFPGHCRrDtLuzicTrV5at6UDJDIFkqyxWDuL4zbvWxf59zPCyKfenqTeniRllMilR+krHKOcP5bYGElCbLOgQAhBxuwnbZSx8sdYrJ1hcu6bhPEuCYD2mhpvhnZ3gWZnGste3nS7+wXft7Yc8z5uYp/k7DFW2jPsBGPKUdzYZjq4xAH5JAJBRiqgoFLl3kjOTcQ0OzM0O7PIkoKmZukvnmCo/Cgpo7ypyNedEIz0P0UhO061eZVLk39yz+XmcZyUL26GKA6x3QYL1TP3rWHdPhJJ9nZ1kr4DT+N2atjtCvEW98puV+g2FykMncBuLRG41rYSqH3Xwuks03/wOTQzR+g7q1LwQlIwc/3oZgG3e3N1H0U+jteiac0yUDiJruVw/DYC6Y7nMiZiZuHlu7gKDxLEfe0TtRN0nRpdp8Zi9QyKYtJfOE4xd4h8Zoy02beDPQnSZj8HRz5ONjXEpakv7YrGThiHWy6mXK9NvTVJrXX1no61j/cG+yRnjyGEjJB2FvONiPBjFze+NfSzV1VGSVNDx2uysPwO1cbl1Y68hewEpfxhJLF+x2FYG1Iy9AJ9hWM4XovphW/dk0cnabbobiqvn+jkvPf6FR80OJ1lqtNvUxw5zfij30G7eoNuc57As5FVAz1dQhIygWexPPUmAJ3aFJKkkOs/zKGnf4DmwiUcq0YUuEiqgZntJ44jPKtOff78zWO1l6nNnqH/4LOMnf4czcVL2K1FAEojj2Kk75Tjb1qzSGIR1+/gBTZB6OJ4jQ2Jt6kX6S89giyp2G6dheW3KeWP0LWXcbx774J8PyCEwv0oK75bxMQEgU2lcZFa+waqkiJj9tFfOEEuM4qu5tYVFVzBip2RkCnmDjE2+BxLtfM077EzeBR5mzfFBBRF23Rs+3iwsU9y9hhCyEhiZ5c5iH1UoZOXymhCpyQNo6ASsHc5AnEc4gUWXmDh+h0ct4ntNrCcZTLmACmjhKHlNxXNkiUVXc0xUDzJcuMytlu/ew9LHOMHzqbrNIHYcaXYPu4dYeBitytUrr9KqjBCuji6SlIQEpKQ8Z02gXdT8iBwu1iNOSqTr5EpjpPrP0ymfCBxuwuBJMk4nWU8q37bsRzs1iLLU29h5gYoDB4nXRglCn0kSabbXEBL5VdDWfn0GJ7fSXqaxQEde5G0Ud7wORIIyoWjxHGIEBopMyFN2fQwfmA/FCRHCJGEgd7rgWyBmDjJoQtsXK+F57UJApdWd4GUXiJt9pFND2+5qFIVk3LuCK7XToQE/fa6224HQehuuRhTJH3HNvyDAFWFRx5TOXxE4fKlgGtXArrW1p41IeCxJ1QOHFRYroScecen09678Nt+WvkeQ5aUHeswOHEHCYm81I9AUJQGiImxt62Tc28IQoeOvcRi7SzXZ7/KXOVNqs1rWHYFP+gSxxvX+MiySj4zTiEzfk8NK2OiXlO8cMP4c+LJSW2Yb7GPrRFHIZ7dxLWqazoCryD0HVy7idupsRoaiCMCt8P85a/RqlwljiLM7ADZ8kFS2QGEJOG7HZzOzRyGOA5xrCoLl79Bu3oDSdEwc0NkygcwswMQx3jd1pqw083xtZm//HW6zYVVUUEzN0CnNkN97hytpaurvytlD6Ip6dWJq20vgJA27iguJEr5I3S6i3Sd6qpnMGWUN2wM++BBoCo6D7In53bEvea6lcZFphZeZnLhJRaqZ+h0k15JYeRvWkeYTQ9RyBwgkxq6p3EEoUsY+kSbhKwU2UDeZHH3QYWiCE6eUvmRH0vx9DMamez26IQQcPykwg983uTjnzTI5feWhuzozv3SL/0Sv/zLv7zmsxMnTnDhwgUAHMfh7/ydv8Nv//Zv47oun/vc5/iX//JfMjg4uLr91NQUP/uzP8uf//mfk8lk+Mmf/El+5Vd+BUV5fz5EiqzvML8FFqJJdExSUg5LNOjGbTpRE/8uKqvuFUHoslg7y1L9AoaWY3zwOUYHn0NGTapaNlhxjQ08m0jk38NKOIoCPN9KKi3EnURRSDIpo9d1eB93BdeqcePN39vw+/rcWepzZ9f9LvRtFi5/bfsHiyMCz2L2/Fd2NMY4Duk2Zrn22u9sut2KN+f2qVGRNELJY6N+P2Hs43rt27yUD09ipxASmpp5aN+DKPKx7CUse4m5ypuMDT5Lf/Ekhcz46l1Yz87kM6NEsU+1efmO77aLOE4WU37Q3bB/laEXUO5hwfZ+hW3H/Pv/s8uxEzL1+vZzMKMI/sNv2/QPSthbNzi/Z+yYWZw+fZovf/nLN3dwCzn5hV/4Bf7gD/6A3/md3yGfz/PzP//z/OAP/iDf+MY3AAjDkO/+7u9maGiIb37zm8zPz/MTP/ETqKrKP/2n/3QXTmcttjJTiRbL3kpkJ+XWGzd/Ww+H5NOkpTwSMgKRaKPIMa2oxmR4bo9GujniXpLv1Zk/p9Ge4cDw8+Qz4xt6UTLpQVJGmXZ3YUNti+2gY1cSVVJtHZKDhKqmMfUCXae2n3z8AUccRyiyQT49giIr2G4zCYMY5U3KbmMcp8nIwFPoWh5TL3D84Hetlg1v67hbbiH21NsoCQlTL7wvPJph5DG9+Aq15nVK+cMcHf/0hq1SdC1LJjWEoeXvaTHl+R26dm1DkpPo9WTR1CzePYTGPkj44b+a4uhxBdMEVRP8m3/dZepGgNW5/4uHHZMcRVEYGrrTRdhsNvnX//pf81u/9Vt86lOfAuDXf/3XOXXqFC+//DLPP/88X/rSlzh37hxf/vKXGRwc5Mknn+Qf/+N/zN/7e3+PX/qlX0LTthaN2gmiONhSOk2SlD1dAalKCk1L7/h3VtTCiltrhAH9+L0ub02SlBudKcx6gTiOKOUO3bHVinigoecxtcI9kZyus0w2NYhO9o7vEqE3SBv9eL6Ft09yPvBYrJ9DV7MYah5TKxHFIcutq+tqq0BCjBar72LqJQy9je3W6dpVLHuxV72zOWKiLavEJCGvESvcbQghY+iF900LlCgKVpWmF1KDDJVO9xKr10IICUXSyJgDuF77ris6Pd/C9moUObDu90KInvZSaZ/kbAEh4NRphUxGcONawKWLPqWyxMc/ofHNr8G7b99/G73jYNjly5cZGRnh8OHD/NiP/RhTU1MAvP766/i+z2c+85nVbU+ePMmBAwd46aWXAHjppZd47LHH1oSvPve5z9FqtTh7dn2X+N0jTlb2W+gJyLK2ZysgRTZ6HZF3HtuPiYgICQlW/0S891owkKx86q1Jmp0Z4k10JjQljarem5vXsisEW2iX5NLDqA9N/sQ+9hLt7jxdt4oXdIniAC+wNhSQW4HrtZPO7nFEGHoIIZKmjdswj1EUbJm4KkkK8h4lrkpCQVVMVCXFw5STsxXCyKPr1qjUL/QaRW6QlyclBO9eFqqeb2E7tU23MbQcGbP/ro/xQYEQcOiwQhDC1GTIG6/6vP6Kz/ETKv0D700K8I7evA9/+MP8xm/8BidOnGB+fp5f/uVf5mMf+xhnzpxhYWEBTdMoFAprfjM4OMjCQiKPvrCwsIbgrHy/8t1GcF0X17050bVa22vcFoTuluxekY09k/VOGWU0NbVjDQsZlZSUIUtpTUJcJ67TCRu7PMq7Q7u7gK7lCEN/Q9l2Wdbvufqp1ZlbTXbeaKVazB1muXkFy3kwxLr28d4hJsZyqlhr1Kc3mwAFucwIpfxhdC2DuOVdnVl4lXrr2qbH26i7+a2QJHVbrQ3uBqqaImWU35dNJsPQZblxmSB0e53C77SjgpXig7vPonK8Jp3uUk8vZ30h1JRRJp8ZZ2bp9Xs40gcD5X4ZqxPRakVEEdSqEdmcQDfeGxK+I5Lznd/5nav//vjjj/PhD3+YiYkJvvCFL2CaO0uu3Ql+5Vd+5Y6E5+0gCNzNhZ6EIJMapNGe3HFXqO2gnD+CruV3/DsXCyts0opra/pVhbveffruEcchQWDTdetkU4PrbqPI6j032ey6VbpOlUxqEEPLrbtNLj1MNjVI16nhPgQlv/vYW2SMfmRJpdmdBSCfGSMIXax1mskKITEx8iLTC9/C6i6tISzbaVEShgHhOlVpt8LQchh6EdqTOzyTrZHSixRzB3d9vw8Kosin69aRZQ1JunOOSUrKDe7Fi+UHXSx7ma5TTQoZ1tmXruXIpUdIm/1YdoV9orM+4hgmrwccO67Q3y8hyzA0LFFdjrZVXr4XuCcfaqFQ4Pjx41y5coXPfvazeJ5Ho9FY481ZXFxczeEZGhrilVdeWbOPxcXF1e82wt//+3+fX/zFX1z971arxfj4+Jbj84MuYeQTxeG63hSBIJca3pNVlhAK5fyRDSfmzSChkJWypMmtySnqRi3moxu7OMp7gxDSpivIKA6Jontv2tnoTKNrWYzS6XXGkBikgeIjxHHM9OK37vl4+3i4YeoFVNlcJTkprYAXdDecnFbCFbcr6G5HOj+MXILQJoyCJPdmHS+AqRd7k+fuQgiZlNm/bl7c+wmypGzibY93pY2MH9os1s5xcPij6x5LCIGuZTk48iIXrv0XwviDnf+naVAqS3zP95s8+rhGX7/M+ITMuXd93nzNY+KgwrMf1nnqWY1USvDHf+Bw4ZyPLEMuL/iBz6d47kM6QRBTLAneet3nm193cbeX678j3BPJ6XQ6XL16lR//8R/nmWeeQVVVvvKVr/D5z38egIsXLzI1NcULL7wAwAsvvMA/+Sf/hKWlJQYGBgD40z/9U3K5HI888siGx9F1HV3fedgjigM8v0MQOL3mcLdDkDL70NVs0rdmlxrySUIhnx3H1It3RaCa8TJqrHH7isKLd6/55b1CCBlZ1jZVHA5Db1euaae7SEov0Zc/1nNb3zmRpM0+Ctlxmp0ZWtbsPR9zHw8+UinBh5/VqNUj3n735qST6CeZZMwBoijA0PI9Vdv1SUscR+SzBzC0PGHkrW7VtZfx/M6mY0hKkD1cr4WpF9fdRuslrapK6p6S8G9HJjVIxhxAV+9Myn+/QJJUVMXcMOQfx4nA4FYFJlshDD1qrWuMDTyLKqR1iY4sqRQy4+SzY7Ss+W1X370fEUZJCfnlSwG2Y2N3Y2q1iIX5kFYr5u03PWZnZTQNZBkunPep1yPiGDwXrlz26XZj4hhqtZCF+ZBwjwIVOyI5f/fv/l2+93u/l4mJCebm5viH//AfIssyP/qjP0o+n+dnfuZn+MVf/EVKpRK5XI6/9bf+Fi+88ALPP/88AN/+7d/OI488wo//+I/zz/7ZP2NhYYF/8A/+AT/3cz93VyRmO3DcFp5vrUtyhBCYep6MOdDr0F295+MlmhVpBoonN305N0MjqtzFceWNOzXvAVTFRFezm5IcP3B2pSt516klyaNek7Sxfr8bTU2TTQ3TXzyB7dbwg6Qx5F5DEsquNSTdx86QTgs+80mDK9eCNSTHDxw0JSBrDhKELgKxiXR/TBh65DKjBEYZ3++uTphBYG9JciCZIG2ntgnJSWHqSauUevvGTk9zXciSSjl3iFx6bzzR6yPpJL+dnmO7cjQhY2h5VMVcNx8HEm+x67W55x5WkUfLmsN260iSsm4uoSQpSQuQ4knC0KNjV+5Lp/pV/actemzdT4QBNBsxX/2z9YtC3n7Thw2SQCwr5mt/4cEeKvjfih2RnJmZGX70R3+UarVKf38/L774Ii+//DL9/UnW+T//5/8cSZL4/Oc/v0YMcAWyLPPFL36Rn/3Zn+WFF14gnU7zkz/5k/yjf/SPdvesbkHXXcbxB8kwsOE2Q32PE8URXecWVde7hK5mV3urbKc6Y7eQ0ot4vpWoBN+Hyb2YO0gpf2hd47Pi5nfcOs4mVS3bRRyHWHaF2crrHB//3IZJyCmzzIGh5/GDLvPLb+8KwdoMQkikzT4su7Jl/5sPOlZu1+0RINH7x0aRoY0SSoXohSrXScWodyaxnCXy6VFkSWOu9u6GZCWOYyr1C6y3o4Qob40gdGl3FyjlD6+7H0hCVgeGP0KjPU18j1WSAkEhe4DhvidJ7ajJ5b1BVUxU2cR2a/fFxqiKyUj/Ext6b+M4JooC2tbCrnTlDkOPmaXXODD0PBlzcP1CBwHjQx9GklSWaueoNq/c83G3gqHliePooWgx8iBiRyTnt3/7tzf93jAMfvVXf5Vf/dVf3XCbiYkJ/vAP/3Anh70n1FuTpPQ++vJHN9wmmx5mOA4RkmB64e5zOvLZAwyVHmW4/Ph9JTgAh8c+ianl8QObausai7VzeH5nT1Zdg6VHGBt4jnxmbMNtbK+O5VRxvN3RlbDdBvOVdxgonNp09SpLGkfHPk02NcxS/QL11g2CcPfIjq7lEpd1ZoxCdgJNTfH6+X+zaYnyBxWFguB/+h/ySBIcPaximoJvvebyj/5pk7/2o2lOHlcwUwJdFfzqr3W4fiOg3YlRFfgf/4cc+byEpglsO+ZX/z9tpmdDvvc7TT7yvI5hCFrtiNFhmStXb3rSHjv0g8RxjBdYq16clF6mac1Sba/XRTqm1ly/u/R2J04vsFhqXOTA8Asbpr8m/ZYOcWjs48wuvY7rba9C9M79pCnmJjg58d2Jh+M+lo2X80cY7X8aVTFZrJ2j1rpB11ne1RDcCjLmIH2FY4wPPb9h3yg/tOk61V5V5e6Qrvnld0kb/UhC2bRL+kjfE+TToxSzE0wuvNy7BrszBkU2MPQ8pdwhBoqn0dQUlcZFLk99aVf2vxvIZASlgky1FtK14zWLFE2FQl7C86DRitBU+OiHTBqtkLnFkMWlZE5SFBgfUThyUOXydZ+ZuWBPQlbvz14Kt8D1WlhOBcte3vChlYRE2uxnuO8JZEljqXYO12ttWRoKSczY0HIMFB+hkDtAxuhHUfT7LswlSyq6lsM0Suh6nlL+MI7TwPYa2G4dy65gO/VNcxM2RtIUzzSKlHKH6S8cJ232bdqZd7lxubfy2K0VX0wQOkwtvMSRsU9iGqU7kp4FycpeljVKuUOYRon+4nHqrUna3QUcr0EQuNsYk0ASMpqWQVczibicnidllDG0PJqaTkQelXRvVf7+0SfZLeg6lIoSA/0yv/5vOzx6OmBiXGFyMuCJxzQyGcGFSwFnz/v090l87tMGX/mqw6UrASePqyDgT77s0LVjyiWJv/ojab74RzZ9fRL1RsSX/9zh0IRMMb82XJqIAWaQJS0J4QLJ/d74nt9rGCAKfWynSqe7RNoor0vAV7R3hkqPIksajXaiM7WdcBgkydT5zDj59Bj57Biamuji3E87I4SEIhukjDLDfY9Tyh/G8y0ct0HbXqRrLyeNN4PuXV1TISRSRpli7hD59FiymNmksMGyl6m1rrObYek4DliqnwNiNPWZnsTIzWu8QiqFpGAaRQZKp0mZZeqtG1jOMrbbwHEb2zp/IWRUJYWqGGhqmrTR15Mdyawq5RtaHoj2TGfpbjHQJ/PEaZ3X3nJx3LXkRNcE+ZxEtxvTaCX5O5IEB8dV8jlpleSs1KSYhuC5p3SWlkNse/c9hA/WldsDhJGP7dRoWjOrHYbXW/2oiklWGoRS8m3XqeL2wj+JGFVyR0QvKU2W1FWxv5RRYqB4irTZt2rgVty5XadGHIWke0JSe2mUJEnpvRxpsqnBpEuv1+yRnGVsp5Y0pIs8wsgnDP1EzI9oVdQvUStOYu+i11x0RdY8ZZQp5Q6TSQ0ibVDtEMcRfmBTa17btgHfLuI4pN6+QbV5jRJJsvFGOU+GnkfTsqSNPjQlTcooYbuNpOIu9InjcDXElJAjgSSkpGu8pKBIOpqWTkiOlsPQ8r3k0fTqPYzjeFe9RHeLvrJEuSRRzEtEESzXIparIUEIxw4rqKpAkqDRjJiZTVZeJ4+ryHJCz0xT4LoxiiKo1kJm50OOHVFJmQJZBtuJuTGZeFl2AkGyWgujJA6/sBhy8bLPoUMKvg83pgJee8OjVJL4we9P8e45n+mZkCOHFOr1iDPnfKq1iIlxmZ/8sTTvnvVQVcFSJeS1Nzx8T+W5Z9eOacWjpqtZZCkJdiXP+97F/2Mi/MCh0Z5EVzNIsrqujRFCkDb7iInR1DS6mu15QuyeqGDyLkpICElGEnIv8TZF2iz3GlIOkjJKtxx7JWQzTy49gtigwmvX0FtEpM1+0mY/Yejj+R1SdpmuvYzjtXphczfp8B0FRHHYsy9h0u+utyMhJCShJGKJsoaqmKR71WJpow9d2zih2g9sOt1Fmp3pXT/FTnepR+b66CscA6R1r6ki68iGhqHnUZUUXaeK7daxnXoyb8QrdvXWuUMgkJAkeXX+UBUTTU2RMvpIG31JG5tbiPKDmOCcNiXGhhU6nYj+ksRSNaTeiHCcmGNHVNIpicVKCIREEdhOxNCAvGZhHMfg+TGuH3PwgIK8R8GP9z3JAbCcKpX6BQZKjySNHjewAZKkkE8Pk08P47gtbLdOx17C9S3C0EUIgSxUFMVA13Kkzf5eYtw6ybcxhHHAUu0cQeBwZOwT60qT7yV0LYuuZclnxlZJl+9bScms2+hVlLkJ4YkCoihAkmQk0SM3tyRMqop5WwPDOxHHSRJny5qj3rxOEO1+Gwo/sJlZfIU4DtDUFJqS9JtZzwhJQkJTU/QXT9BfPEEUhYShl4QyAqcnFhmvktaEuOooirHjpqrvFYSApx7XeOZJjZPHVTwv5uVXPb71movrxfzkX82g6wJdE5y76PMHf9Ll4uWAH/r+FLqWeL4OT8hMzoSUijKvvO7yn36/y4/8YJpyScI0BJVqyBf+k8Vb7/pbCYivwnWh3oiJIvi+7zbRNZibD7lwKeDRRzTanYhWK/m+VovIZSUMQ6Cqgr6yxGIlwvNiHCem2YoolSTKZRnfj2k0kyqNSjXC99cOyNAK6Gp2NXF0pfom2OME0TiOWKieIZ8dT8TpNvFyZsx+MmYfQ6VHsOwqLWsWL+j2SIF/ywIqWVzk0qPJPtfNS4lwvBZXZ/+Cx4784H1XPpZlFVMuYhpFKK6QrhDPa/cWim38wCGKfPzIJQ6D1QVFsihb6ylNPHAbjz8JIcZYdoVme4pmZ2bXzymMPJqdaYLQJZce6vUeXJ88JnOCQil3iFLuEHEcE8chjtsiCJ2ebfUSQiepyEJBlhQUxURTMw91Kw5NE7z4vImqwNtnPd4+63JjKuBTH0tRq4e4Xs+PGie2YHhw7bsax+A4MY3G3iZUfyBIjud3qDWvMzX/EgeGnt9ChTdZ/elaLsm/yE7c9XGn519mofousqxhOTUy5sbJz3uNlUafqpJGVdKk92AsQejQtuY5d/339oTgrKDr1phceJlGZ4ZHDn0vqrK93mBCSCiKgbJJRdjDhmJB8LnPmCxVQn7m56pEcWI8Hjmh8MyTGtVaxP/6L5qUijIvfkTnv/+bOX72F2oIAWcveNSbEYcOZviN/7PDT/3VDGPDMk88qpJJwy/9SgMh4PHTGr/w83l+5ueW8XcoD6Jr8C9+tc3CYkgQJG7rq9d9Tp3QGOiPkGUYHZGpLId0OhG2E3HtRsDTT2i89C1BJiMY6JeZnQ2ZnQs5cUxhaEBGCBgblROidgvy6VGEkIiiXp6OEKSNAYLQo7OOGODuIabZmWZ28XUGy6cp549s+QshlKQMfAMxze2g2Z5hofouteZVOnaFbGroPSfoUq+XlqEX9mDvMY7X5PL0n9LubqySf68IQpdWZ5Y3L/0Wjxz6fjJm/7ar2ISQE9L3Pofrxnz5DZt3zrl8z2dTfM9nU/zv/0eT3//jDh/9sEkh/960cbgdHwiSA8lDO73wCqZepJidwNA3UyIW99SzMwhdFmtnma28juu1SZmJK/e9JDlwM2dlL9B16izVzrFYO4PnW3tzkFvg+13qrRu8c/kLHB77FNnU4JbG/WFeNW2EkSGFRiNiqRIS3rIgKhZkCnmJ65MBYQTL1RDPjRkauOlhcJyYTifG82KarZggiMlkJA4fVHnyMY2//4t5giBGkgRT08G2vTiQ5OQUi4mR+7m/kSEKwfViZudC/uN/7nLkkMrHPqLzked10inBf/q9LmfO+bRaMS+/4vLRF3T+2/86g6xAGML/6//d5ux5n4E+iWef1vjlf5Cn2YzIZMSacU0trV84sJ38ut3AUu0cURwghLSFSN+92RiASv0Ci7VzVOqXAOja1UQI8T0kOXtpY4LAxXKqXJ76Y9rdxS2Vpu8VMRFde5kLN77IQPER+osnyKQ2t+HvRxuzEeIYut0I141BgKImDZN3odBtV/GBITkQ4wUd5pffwQ+6FLIHyKaHgfVzdO4GURRiu3WanRkWlt/F8VpJ7kfo93IFYvbKAnh+p5d3cP/c1XEcEUYBjfYUtdZ1mu0pLLtyX/QcYqJktWXNM7P0GsXsAbKppL3DRiWnu4koCglCh0ZnOmkE+x6ha8fousC8rS+M48a4bkwuKyEE6LpAkgW2c9MCRTFEYUwcQRgmAU3fj5NQUjvmzXc8OlZEEEC7HbET8eqBPplTJ1ReftXjxmRAFEO5JPH0kxq/+VsWr7zucn1SRtOSvJ+zPbGwMIRmK+bP/sLBNCUUJRnT+Ys+7XbMW+941BsRsixotSIuXfGZmr6Z9egFe0+wN4Mf2jTb04nnNI4oZCeQJHnXbEwcR0RRkFRQVs/Q7Myu5oXZXoMw3LuwXBh6vQXMdnqC7Q5Wwj8de4m2tUijnRQRJOe597NpFId07ApwAdfvUModopg7iCJre9bzcAVJzp9Lx17Ecu9dw223oahw+pTGyLCMaQjmFkJKJYmnHtM5ekhF1wRHDvo0mhGPntI4dkTF92IOTyhcnwrIZgQT4yqPn9Y5PKFx9JDKtcmAVnt3548PEMlJUG0mDd/8wEGSVHQ1jSzpq0lhO8VKjNgPHVyvRb01SaV+gdotjf3CKOhJxu8d2t15NDVDHEcosoEs6xvKzN8LVoxOGHn4gYvrt1iovsty4/KullFuczSEkcdi9V0cp46TaxDHIaZeRFEMJEm5KzHGdY+0et5+L6+ni+M2qTQu3BdBsI1Qq0eEQUJmDh6QCcOE+HTtmOVqxDNPKYyPKhTyEilTcOXa5sKFVjdmejZkejbk7TMezVZCPLrdnZGcbFYwOiJz7XrA22c8whCOHFJ48QUDYnh9E7GwKII/++r64c6z5wPOnn+wxRe7bg3X74AQSf5eL0dIlpJwx07fyZVS9jDyCAIH22syV3mzJ49wMynVcZsEe0hyXL9N25rD1As9G6P1Eod35x27FVEcEUcBQejieC2WG5ept25Qb0/CFk2Xd30skU/LmqHrLON6TWRJweh5zFauwW7Z2SgKieKAKPIJQo+uU6PevkHbmt+V/e8WbDfJpSkXJUYGFW5M+9yY8kmnJQb7FRRFYOiCgT6ZIIC+Xn4fMfSXZa5PBZiGRD4nUSpKIKBclJlfDGntjurIKj5wJAeg2Zmi3Z1nqXaG8aHn6csfQ9MyEO+cmcdEhKHPUu0cs0uvY9lVwtvyUcLI23MPx/TiqyzWzpM2+ijnj9JfPI6pF5F2vTtxjO3WqbcnqbcmqTav4r/Hq2eApjVD05pleuk1BkunGSw9Qia1Inl/7wYoioNVEltvX6dlLazb8HF3EG/yrMRreGSjGfG1l1yef07nf/3HRbrdmFfecPnq113OnPf45Md0/uf/ax5NF7z5jsf/998mFqTHzZPi6t7+4giqtZCz5z3mF3R+4WdzqGpyjJdecfnCf+5uW8difjHknTMef+u/y/LZTxvoWuKh+Z3ftdaE1d6vCCMvISLtG/QXTlDOH6WUO9RTJt/5QiCMfBrtaarNKywsv4sX3Fm5aNnLiRjoOs/ObojlJS1T5plbfpvB0mkK2QnSZl+vP9/uLqb8oIvt1FhuXGJu+Z090/zaCYLQYal+nkrj0qpHp5w/QjY1tEshmhjXb2PZFdrWAtXWVeqtPSZ18fq2Ju59vtFpXbnmc+VaskiR5WRhsnIN/p//6k7Rwv/jN+7UhVqshCxWbP7863ss2hrvxtN/n9Fqtcjnd97d+04IJElGU9IYeoG00U8uPUwmNYCimMiS1uukrUMcJdU5kYfjteg6NSy7QsdeotWZww+7RNHGGjQCacOO3GEU7NoLLJBWy9w1NY2h5TH1QqLxohfQlBSKYiYVRLKBLKmr24Mgiv2k7DMKCCMfz7PoejUct4XjNehYi1jOMlEcrCmPfJAghIwkJBTFxNBy5NKjSRdzPY+mpHvXwOitwHpVYZG/6qXxQxvX6+A4Nexeuw/breN67TXl9nvhtRIrZewblehDT9Lg5vOiyCArIMvJSikIY4Ig2VjTk9wPQRKS8v0kTKXrSa5LHCdVEo4To2vJd56XfC9JSZAl7u1zJ0nHQiRJxrrWy5npqRoHQW9sHxiI1eo9TU2Tz4yRNYcwjSKGnkeRTRRZQ5Y1BFIvBOzi+p1EAsJt0LTmqLdurDYc3thWiA2bWSbP+G55eVbkFpKKIU1Jk00PkdJLaFomqZhSMqhaClnSepWLyqo6ekxiS1e8FUHg4AUdHLdJx6lgdZew3Qaeb62ReniQsGJnJUlG1/LkM6OrNtbUChhatuflUXuerpgg9HtemsRDZbuNRFfIa+P4LVqdOVyv1bOtKyRj7+xrYv82jmDEQBjuXQHJbqDZbJLLbd4E+wNOchKslhDLOqps9sT85J6Og7SqXhz3Vtgrk2GiBeEQBM6ePox3CyHk1dJoWdaQJS3JDxByL5Qlr+rirOjrr/S/WnnJErLjrZKAIHDe0/DMTrBihFU5qaiSJXXVvS7E2jyJm+QlIoojop6O0IrGStgzUHsNSdEQskzo3n/9HcVUKBwtUT7Vz8UvnL2nfcm6jGKquI37r/GRNYcw9UKSL2ZN9RJU33szJ/XE35JQj9pbYNz2HhL3nr+AKA4S0h04eIH1nnsy1kcinJm8XxqypPTCxLe8Zz1tmGTzhO2u2NIV/ZyVBWQQequl1w/m+d6JxMaYPRurJvdW9BaPUkIi4uiWc6YX+g59oshfXVD6oXP/8vs26pfykGE7JOd9Fa7SNZg4kIifnT2fPCyHDymEQUxlOaK7gZpi0kk4Ea9yuTu59QcRcRwShEmC7AbpD+9rxHFEGLrJauQh6ftilkYwi0METofAtYl8h9B3kz+eneiM7BGEImH2pymdvLd+SJIiYZRTpIcyLL1x/3MJVjShVNkgaw4SRYl3xAu6e9KCYLuI4hDXb+P6u5x08J4iJoqDXRf+fJgQRT6eFCIiARFE3ZvkTM3qmANpWldr7+EI10LIErkjJdrXa0T+g7c43228r0hONivxHZ81yedvkpyPPq9j20lZatd+OFYG+/jgIjd6goFTHyUMXJz6Im67imc1cDs1nNo8gWsRh+FqyCy+1zJaSaDocpIkaypI6s1Qh6zLCEmsdtcMnYA4urlQkFQJSe0lncYxURARhzF60aB4vETf6QFq5ytEQUQUxkksDJCNJEy4sqoP3ZA4ipE0GUmRiMMIISWr35V97gQdexHHbZA2++nPH0eRdWyvScuapWnN7neN38fmkETy3ANxGN1RTCZkKfFGRfFqwayW1ZGNJB3BrnSIgwghC9KjOQY+NL4tkrPyzN/8oPd37xiiN65b36XVTWWJldjyyvsi5N67G/fOo7dPJa0y+skjXJ5vE/nu2nOTVjqe33KMlWa4klh7PR4SvK9Iznr4t/+/9z4pdh/72C4qF75Ja+YCRr4PozSCke0jM3gILVNE1kx8u43XruG2l7HrCyyd/SrxTsqebkNmOMMjP/EEakrF7/rIK6RFwCM/+STpwTSyriAkwTu/9jrWfJvQDZF1mfFPHmT0xQkkVcJtOCy/u0T90jIT336U0okyesFAL5osvjrL8rtLdObaCEXw5M8+i5bTkTSZ0Ak48+tvYc23OfI9xxl4cojWVJP0cJbm1RqVM0ssv7O4o3OSRNLeJJcaRlVSWPYSQeRi6kXy6VGmK689NCHXfdx/ZMbzmP0ZlLRK43wFp2ohGypKOpGmyB/tw162cJYt3FoXNasz+umjqDmD0AloX6ux9OoUuSNllIxO5Y3ZLY8pZEFmooi90CZ0ElVoLW/03i0bJaWSGS9g9KVpXlrGrXYJ7GSBo6RV8kf7UVIqfselfm4JWZfJjBfQ+9IElkftzAJxEGH0pckeKrH4rWlCNyH7kiKhFU0QkBkvEEcx9mKH7lwS1VDTGnpfmuyBIvWzC3hNhyh4eDxADz3JeeYpje/8rEnKTEpnR4dl5hZDZAl++AdTfOLjBhcv+fyH3+uu0dMYG5H5/u82GR6WMXTBu+d8/vwvnTXb7GMf9xuBYxF6Nk5jETFzESHJSR8jRcUsDZMZPIRZGCYzeJjsyDEq575+1/lgZn+K3IE8cRTz1r98lfRwlvIj/ZRO9jH47AhxGDH15Ws0J5uYZZPjP3yaS184Q2e2jdmX4uBnj/L2r72GW3eIwojQDQm9gJm/uEF3oUNmPMe533yH0PEJ3BA1o1F+pI/ADrjxJ1fxOh6pgTSP/PjjvPWrr6LlNIQsmPnLSZyaTeiFq4Z4J8iYgxhajnZ3gcXG+Z76cYwkVEq5gw9ksvw+HgxIioTRl0bLG8RRxGN/+0Xe+RdfQ83qlB4ZpPjYEPN/fpWxTx3BrnaZ/OJ5ZE1BMVUkSeD7N5/Z0AnIH81QenyI+pnNibqQJHIHi6RHcrSu1Yi8gAPfdZL5r98gsDy0rEFqKEdguZz4iWeY++o1Fr55A9lQeeznP0r9YgWv5SLpMkKROPnTz+HWbKz5FkoqvZqCE/khhBGHP/8o70zWcT0bJaVRfnyY/ufGqL45h5LWGPv0Uc786ksoKZWB58ZIDeeon13k5E8/x43fP0vrep3Iezjmyoea5PSVBaPDMtms4GvfcOnrkygWEndbFMPFywEfeT5GVQWaejPJtFiQGBuVGRqUeflVj2JewjQF3/ZRg3/72/uen328l+j10jJSaOkCipFB0dOoZgYtW0LWTKLQx2kuEXrdeyoN1jIaalbHbTh0K91kJTeSRZIEmeEMXsulu9ylu9AhsDxy4zkUQ0XWZLScThRE2JUuTm1tkrTX8fA6HkHXx6nezIGRdZn0UAan1qVbsXAbDnEUk5vII8m9kJgX0plr43fu3tMSEyFJCtnUUE9CIKbr1uk4S7S68/skZx8bYqVJsWKqyKZCejSHpMpIakIevLpNZ6ZJ/ng/kiRQ0xqB5eG33d7zbmHNNomjGLduE3Q91PTW7SDiKKIz02LgQ2P4bRdnuUt6LI/fchNiQhIeNsppUiM51KyOrCmkhrKEbkh3roW91EHIgtRQljiIsJc6tK7VEPLNMFhoBzjLXdSMDr2QHJJA1hW8hoM138YomsQHi6hZncx4nvRYAXMgg9/xSI/mMQey2JUubu29y2/bCR5qkjM0kEjXN5sRX/xjmycfUxkdlpHkpFz1jbc9PvlxHau7diLoK0uMjynkcxLnLviUixJPPaHx6Ond1pTZx1aQdBVJUxCKhF/fPsEUqrz6W7/eWTdOLKc0JF0l6DjE/sOx6tDSBfRcH1qmiJYpoaZyqEYG1cyAkHDbVex2Fb9Tx2lV7qkCRSgSkiIROEGSU+OGSSKiEMiGkuTgBEnuT+iFyJoMUhL/l1WZwPbX5hCsYCWH4LbSVNHbb2AnuT1RGBN5IbKmQK8CJXTDeyI4yfFjBAJVSaEpKSDRmWnbC3SdB085dh8PDtSMfjMvLe7lwYik7i10A9rXa3Tn29iVzqoHx6lYeO2kgbNbs7GXkiRsv+3itdw78mfWQxzGtG/UOPCdxzH6M4RugBACr+kgaXKSx0bv1RJJbo6kyhjlFPZSh850k+58C0mRKD8xglOz6cw26UzW1xwndAOcWveO3Jo4jmnfqGPNNom8ELfuoKY1UkNZZF0mCiJkTaa7mJzbai7eQ4CHmuQUixKyDPMLiaGfXwyxujHZ7ObCVKWixOGDCk88rvE//d0ccQztTsy16/e7BGmrOr6Nvr/989XHf4v9PXgwJ/owJ/rQimnmvvDytn+nDxVIHxnEGC0y94WX1yUxmVOjpI4MUvv6Bdz5xkNxafpPfoSB0x8j9BysyiROY4nuyt+1OSJ/9+TsA8sn6HqkBvsRsoReNNGyGnEY0ZltUzrR11sxypj9abrLXSIvInQC3KZLejiTTAjSLUPqJTkKEs/NrY9k6IVYcx3Kj/SjGApqSsUoGXQr1s0kzq2wkbLsLR6ttNGHqqS4sfiNm406d2G/94ydqOLeb2WP7YxtL8a03nG3Os4ejnXgw+OoGZ3uXIvamQWGXjyUPJu95zjJRbkzOTiOYpABWawxx6tD3YZpjrwQv+OTHskhGwq1d+aJo4jiI8OkhnMI4MZ/OUf58WFCN9HSidwwKRhQeonHQhC6AbIhJ/l1tyYvrwxlhbit1BisnENwU9FvpS4gdANa12q4dZulb03dsa+HAQ81yalWIw4fhInx5DRGhxUy6a1fgMpyxKUrAaMjHn//HzaSvj13JqzvCcbSp0krJTTZQEbhWucNTDmHJhl4kc2ifQWBxFDqGP3GBO/UvgTAgHmYgjaMJqdQUJi2zhDEPoacZcA8RESIJgzc0GLevkTdndv7k9lF3M2l30qOr/nmDVpvTz5UFQG+3cbr1NEyJfRMuZdULHreFBe3VSHapcaEnfk2QpEYefEAH/q/fRS34SDrCr4bMP+tGcqn+jn83ceQ/8pJhCw495tv05ltEXoh3aUO1//4Ck/+/IeSFWzDoX5xmet/dAVroUP+cJHcRIHn/+dvY/YvJ6meq9BdtJh/dZbBZ4Y5/VNPJonHbsA7v/Y63ja8N2pfH4XPfIb0Y4+t+dx6910af/Zn+EuJArUfOqiKST49ttpryQ/sTftalb//+zGPHUMpFFY/c65dwzp7lvbL2yfft0NoGtrICNrICPrICGp/P3I2i6RpCEVByDKR7xP7PpHjELbbBNUq7tIS/tISwdISQXOP5A+EQB0cxDh4EG14GHVgADmTQU6nExnbMFwdkzc3h7ewgDc/jzs1tWtD6PuhH8I4cgQlmwUg7HRY+Ff/Cr9SuWNbKZNBHxsjdeoU2tBQch1NE0lRiMOQ0LYJLYuw0cCdnsadnMRfXibsbL+8vbvQYfRTg5QeHaT85AiKqcA2hPDbN2oMvXiIkU8coe/JEab/6CJ9T4/S99Qo2SNlTvzUs8x++TJ2xUoSizfA4kuTjH/HcYqPDPDmr/w5cRjj1GwyBwoMPDeOMZDBHEgjZInA8aldWGTsc8c58sOPE0cxgeNz6d+8wfDHDzP27ccZ/fQR4hgu/KtXkVSJ7KESAx8aJz1e4MgPP8HSK9Ornqf1sPStaUa+7TCjnzpK/7NjKJrCtd89Q2eyvr4X9wHEQ01ypmYCDowrPPWExn//N7MEQUy5JNNoRuRzgu//nhTPPq3j+zG5nOC1Nzy+8ZLL/GJIJu3zxGMqf+OnM8RApRJy5VrAy6/uXdVFWimiSSZWUGPBXkaX0gwah2n5FdyoS9kYZ9G+SkYtIwsFK2gAkFIK6HIaL7JZ6F7GkDMU9GH8yMWPHGShMN1+F0XSMeQMZf3AQ0Vy5JRG+nA/Qz/4HEpax7q6ROf8LH7DYuC7n0I2NISalDNXvvQOfi2ZrCRVJjXRx9D3P4ukK3iVNo3Xr+NX2+SenCB9dAjZ1Fj6k7fxKq1VoiNUmfLHT6HkTSRVIey61L91Ba/SIv/0IYzRIpKuIhSF5mtXcRcaBO37I2rXmDyDXZtD0VOoqTyKkUbWU+RGjlOceIIo9PDtNn63iduuUr/+TtKP4W4QQ3fJ4uK/P5uUpnrhavlsHMTc+NLV1TJyIQTt6Rahm3jMQjdk7pvTVM9XEAgiP8LruInoWRyzfGYJu9olCiKcqo3XTkpVIy/kyu9fRFZlhJQ0CO3MtpMk5z+7jmJsYpKEQKgqkmGs/VhV16zug56oWlovYaqJaGjHWd6U5AhVRdK0NfsWWiLMuGNIEpJpkjp1itSpUyj5fDIZGwZC1xNyI0nJmIVA1vVe6W+IUiyiDQ1hHD1K5LpEto1freJcu4Y7NUVQr9+zR0VKp9EGBjBPnMA4fBg5lUIYBtLK2GR5tbxfSqWQczmUUgnz2DFCy8JbWKDz5pv4i4tE9r2JVt563eM4RpHlm/ezd55yPk/69Gn0iQnUgQGUbBZhGDevoyQh4hhhGCi5HFFfH9roKOnHH8d6+20677xD2Ghsazzt6zUmv+ghqUnl38I3buBWu3gNJ8kvi5LS8cprMwhJ4LUSu9Bd6DD/1assvzlL0PVw6zaV12doXllGTWs41S72srVlsm57ss6N/3wWSVdWw7b2fItF26d5cRm/47L40mRCTMJkLNd/9wySLFYTi0PHZ/IPzifvLhCFEYHjI1xoXa3i1rosvTqNW+vi1m1CNyR4bQbiJMQWeiHTX3Zxq11CN2DplWkalyrJPelVXj0sBAcecpLTseD6VMCb73hoqqBWD+lYMc1WRBSDbce8/a5HFCXeG89LZMJsO2ZuIeT1Nz2GBhNFStuJ8fa0qlRgKjl0JQMBq4qYmpwicD0iQgw5jSxksloZISRaXrKaMeQMhpxFIFbbMGiSSRzHeNgEsUfbX072qQlK+igPU+hKSBKSphA5PmRN9ME8kevTfOP6/5+9/w6zKzvPO9HfWjudfE7lgJzR3ejMnCkGiRSVKNmSnCTLSX48lsb2dbjX4xmP5HBtj8fjsa9tyfZVliyZCpZEUaSYQ7O7yWZHdCMDBVQOp07eca01f+xTVShUFVAFVKGBZr18QDTOOXvvtfO7vu/93g/drVSwrAxOOUd2f/8y4RBdwZwOY6Rn4/TkKBwfZvHrTUyssEvpumTWZel4CMfCqeTJHuwnXmhhlMLKuhRP7aP65dfIHR7EG64QTFQxSYRR+o7EvVtF1KoStapIy8Yt9uHmK7j5HrxSH5mKm/670INRCbHfoHbllTsS0qogoXZ+fQ+P5tWNIwhGGzozbToz6xAHA0HVXyNIXvqucbm27jpbE9tjkhfFLdoIbMtb/uxulYwL28bu7yezfz+5hx8me+QIwnGW/UfWRZdICdtO+2nk88tfGaVwh4eRjkNSq6Uk5w5g9/aSOXgQ78ABskeP4gwN3bS5pLAscBysbHZ5PE5fHwD++fNEU1MkC9ujcxIAtr18vIwxWIUC+UceIffgg3gjI1jdiM/ahUV6jJdIcLGISRKCy5e3RArjZkjcjrqWM6tTqEl75RoK5lZf98qPaV2rI2Radm1USgb8ma2ZJCbtiMal1fdj0olJ/Bh/urlmTJiUuCz7+nTJR2tssetxxbJvjgGiekBUD2heuUGr469Eh3UckVwXWfVnW/hzLYQl76uo+BLua5IDcPZcwtlz64f//vvvbqz+nl/Q/MGn7p51vgBcmSVrlchaJTJ2akUdqCah7iARaKPxrBwlZ5BOUqMRp2WHrsySsYp4Vg5bpg/uSHWItI8xmiBpQdcq3KCR3D+iMACdKOJah9k/eoHM3l5Kjx+k9OgB6t+6TPWrZwFwe/Pkj49QOD5C+0J6XIwyJM2Auc+8hFPJkz85SuUtR1j8+nmap8exy7k16Xsr55Ld24Od85j71Itopcju62Pgw4+y+LWz2KUsOoxZfOocScNHBfHdyWMuQUiEtEBK4k6D2G8R1OewqwXcwjXy/fvI9e3BKw/glQdSy/i7N7r7An5UJ4yb3V5J3Yf/XWoRsBR1KL71rctkoDuA9Dx1OxleT5xFN6KDECuEo/u3sCyschl3zx5kNntHURzhumRPnqT0lrfg7dmTNhdbHp5J161XSL1YGscSCRMCYVnYPT2U3/UunIEB2q+8Quu55zDhNvQ46u6zzGTSKJoQZA4dovKBD6TRJsta3v/l42fM8rFbGuMSlO+T1Ouorab7tLm9e8qwZePKLa37Jud+vcjKtkZbTFezswlI6SClvdy64vVmRfc9yblfYIB2UqMVL9CIZpn2z6/63rPyzAWXGcoeI2MVaMULhColaR1Vpx0v0IhmGGu9sLxM1i5Tcga4zVvynoEOE6K5dBYfzTdBG9y+AlbOY99fen/6IJMCO+cRTC5eJ5RThHNNjDbEi220H+H2bTDT68LKunh7esmfGGHfX3ofOlaYRBNMpDnm+c+8TOGhvez/qx9EtQMmf/PrhDP1u1adlevfS2HgAJnyAJmeYbxiP7aXPuBjv0WwOE3QnKc+cZZgcWbzwtpvI+S8Xkq5EXpLh5f7k1Wbl5iqvryzG5aSng9+kOyxY1jXaXuWoXWqs6nX0UGASdIKGpHNYpdKWMUi9gZ9eNovvnhHEROZy1F629uofPCDCHdtSbOJY3SnQzwzg2p3oxSWhZXL4Y6OpgTrhhlD9vhxnP5+nN5eqn/4h7c9tjVjzeexBwZwensZ+NN/et3x6k4nPYZxjLAsZKmEdJxlQgYQjo1tW5RpF5uFYHT/O+gffJBWY4JrV75MGNRe1xHtkpwt4Pgxm/e91+Mv/lh+3e9rNc0nfqfDf/2F9SJIhmY8R8kdpOQOUfFG02WiKWrhFKFqUw0meKL/Y8z5V2jHK+HEVrRAzq5QcgY4WXkvAI1olsTcOx1iy2XJ29/q8r73eJw4aVMqSqpVzdlzMV/4YsjnvrDxWKVn4/Sn5MTtK4AAFcSUHt1PvNii/s3LmERRemQ/Mr+SghC2hTtQREiBXc4hMw7Rws1THsqPCadq+FcXmPrEM8tl60ZpTKwIphaJFpo0nr9CzzuOUXpkP60zk3Quzd7WcSkUBP/in1V46EEbz1ubFpiaVjzzbMS/+FfpuIvDR+g98gRRq4a/MEHt6qvE7Rpxu0bkN9KWDnrpT3L3q3DuAxSygzhOjotTX8ToroZopxsfCkHu+HHcvXuxSqVVEYXg0iX88+fpnDmDajYxS+3fr1sWKdOXtefh7duHt2cP7ugozuAg0nXpnDlDskldyY2wymUyBw9Sfu97lyMkkHqzxFNTNJ97jnB8nGRxEZPccE1JibBtvAMHyJ04kYqzu82RhRDYlQqFJ58kHBvDP38eHdy5ds3p6SFz4ACZI0eWCU4yP084MYF//jzhtWvoMAR13cTDsrCKRZyeHtyREbIPPEBw8eIdp/d2sVUYpsefxXGyJInPxonQu4ddkrMFeB709kqOHF7/sM0vqGUzwvWgjWIxnKAtq1gi9eQJVJNERxg0kfK52nqJVrxAJ1lpFKpRNKIZQtXGFulNH6oWiUmdXEPVRne727bjRSY6r3E3Q4RCwPd/b4Z3vcPj4VMOAwMSzxOpA/Uei9FRi+kZzYWLMetFtYUQWFmXvvc/iDdQQkcxzZeuktR83IEShRMjqCBG5m6Y0QmQjk3vu09il7IIIWi8OIbMOBQe2EPh5CiZvX1UnjhEK+/hX11A+xHB5CLxYpvCiRF0lKS+EDN1dKwoPrQHp7cABryRCs1XxlH+7es5pITREcmhgzbZ7Npb3nHg0qWVa6Y1cxkV+SRBhyRoYrTG6ASdxKgoQEX+LrG5BYxJS9ht6RKb4O7cCkLg7du3klYhTS/E09O0T5/GP3eOeG4OE9+CbFkWOgiIZ2awLlzAKpexi8WUgNxq2Q3W5+3dS+Gxx9KqqS607xPNztL42tcIx8dR3ejSRjBJgm61iBcWKL3jHViFwnL6ysrnyT/2GOHkZEo+7vD6zJ48iZXLYff2gtZ0Tp8muHyZaHqaeH4+rTZTayOrqtEgqVaJ5+aIpqZSvdAmUlX54gj5whBCSKTl0qiNoVWE65VRKqTTmkFrhesVGBh6mMlrz2CMwvVKFEqjOHYWpIXfnqPTniOJOwyOPoFKglRXZDkE/iLt5hRaJ9hOjp7+Y0ghkdIhDBs069eIoza9AyexbA9LOnjZCp3WHPXqJRBieVtCWnSu29ZGcL0iXqZCLt+P0Rppu4RBg2Z9nCROJ3e5/CDZXB+2nUFIi0b9GmFQx2hF78AJpLQRQpIkAY3FMRyvQDbXh2Wlz2LL9licP08UNpc7qCeJj1bRGq1grtDdlnXdtvxa2kB5B7FLcu4yWvHG4VNNwnj79LrfdZI6nWT9G7ZDDUif5b5q4Ku720m9XBZ85DszPPG4S+U6kue6gkpZsmfU4utPR0xNKcJw9YWvgoh4sU04Wyezpxc779E6O0nz1QmM0mg/SqM0XoTqRCg/wiQaHSYk9Q7B1CLecAUr6xLO1GienkBYEneghHAsVCfCLmVxegqEUzXiVkA038S/Op/+xpboIEaHcbquwTLeSCU1weumsZL63dNutWev0J4bw3IyuPkKTq6E5WaRtoOKAqJ2rduhvLPSXG8Xq6B0hNaKnNdLrALAEEYt/J2sLBACZ3AwrQy6DuHkJMGVK0STm6x2VIqkWiWpdsWntp1WDPm3R26tbtl19tix5XSTUYqkXqfz6qu0nn8+1Qndalj1On6rRbK4iLdvH7njx8Huvj6kJHvsGE5vL6rdxtxhNCdz4EDXpEURz83Rev55gsuXUc2bR2lNFKGiCFWvE167tuntOU6ObL4fISwy2V6UComjNp5XwrIzBH4VISRepkLvwAmmxr+BEAIvW6HccwijFZaTWX7xN2pXGRh+hHZzkiT2kdJG64R2K9USSmmTyw8ghIXrFXGDGnHUJklCenqPkBrYCCp9h6jZl/Dbc0jLWbUtaTlgDI36xuX8jpMjXxymp+8ondYcrlfA9UpoFVFfvIy0HHKFQYrlvRitsZ0s2qRu4XHUodJzGKVChLRQSYRKIizbpdJ3BCls4qiFl60QhS2MUYTBxoRSWg65/BDF8p6VbWmVVni2t9abbqvYJTk7DsGqmJ1Z/r+1plY3PsSud5Iy17nCbHq5m21P3H7p8XWwLHjyCZfDh+1VBOd6OA78wPdl+eznAqo3RI+DqwsEVxeofuXMusuO/cfPrvu5agVEs3Vqz15c9/v5z7y04ZhNrJj79Prfz/7RCxsud7dgORkKw4fZ8+RHcQs96QOti6hTpzb2CvWrr9CcuvA6jvLeRaIClI7JZ/qXxZpNMY0f7VzqQgiBzOVWiXkB4rm5OyuzTpIVwnMbyB49irdvX6qp6UK12wSXL1P7/Oc3RXBWFlQktRq1z36WzKFDSMtKozlCYOXzZI4fR4fhHfvoCMvCGEPSarH42c/SPn163cjNdqFWvUitGy3pGzhJJtuDMZra4hWOnvwe5mdexvay5PL91BYvY4wmk+slm+0F4MrFz5LJVOgbfJD+oVM0alfxvBKzU89TW7hAHK2uxIrCBmMXPgdAqXKAbL6fcs9BwqCBZWepzp+hWb9GknTotGaxnSyuVwIMVy78CZlsD31DD9E3dOqmJCeFQauEq5e+QCZboVQ5wODwI9QXL5PLD+J6JeKozcTY18hkexne9xbyxWFa9XGSJGD8ylfSKFJxhD0H3snM5LcwWtNsXWNm8lvkC8OM7HsLWkU3JTm5/CBepkQUtZgce4pMtpeRfW/Dst1dknO/o//Bd5Ab2EvYWMAt9OBXp2jPjhE1Fhg49W7cfA/CcYiaVarnvkFYS7Ufxb0nqBx+NK1m8PIsXnie1uQFkqDFyJs/iuXlkJaDjgMWzjxDZ2ECjCbTM0zfybdheVmktGlNX6I5eQGv0EPl8CMgJNKykU6G2Ze+SGfuKjq5s3TMwQMWrrtx9nUzv9lFCrfQS2nkKHvf+v34tSnmz3ydqF1DJRFOJk9x9BiVA6coDh9m/Nnfpzl9cTd9dQOiuI3nlOgrHebq3LPYMkMYb62Ud6swxqCjaM25cIaGUvLzOiH/yCN4+/ev+qzz2mu0X355awSnCxPHhNeuEc/M4A4PI67zFcocPEi8TWaByfw8/rlztF988bbGuVlYlkvvwANU+o6gkgA3UyYOm0RhkzhqgQDHyVMo7yFXGGJy7CmM0XiZMvniMJXew5w89UPpmJOITjt9fmsdEQWNNQRHSptMro+9B95Nkvg4bg6jFUGnShQ20Dqmb/BBevtPYDlZpse/Sb44vLKth/9Ud1vh8rZuBq2XIiyGMGyiVIybSTVVmWwvhdIouVw/hcIICIhjnyQJcL0SnfYs2ih0EpHEPl6mjBAijTrFaWWv71dx3AKW7d10HJlcL4XiKJlcL8XC6PK2onBn70vYJTk7DjtbQEib1uRFVOyjorTHiVcewHIzzJ95Cmm7OPkKvcfexNQ3PgUYOvPjxJ06ICgMHcJyXDK9w7SmLpEb2MfCa18nbFbRcUjcroHRuKW0rFgnEdWzz2Jl8njlfnqOPI4/dxVhOTSuvUbYrOIWeijtf4CwPndHJEeQkpib0RchwHHEllztv12R799HcfQYnYVxJr/1KWK/mToca4OwLBoT56gcOEV+4AC9R56kNXP5rpVH3y/IZfrJuhWqzStIYZNxSxijaTPPTgp04tnZNNVyHbJHjpDMz0OSbCmFsh2we3tTI8IlItIlYPHMDNHU1O2vuFslZlcqq8wT3YEBrHJ5lZHf7SKamaFz9uyOEhxI9Ti2k8XvLFCdfY2+wQeW005GJ9SqF8mXRsnmBxBCEoUNwBBHbQK/Rqc9x/iVL3dLvDVKpc/SNO6+9hikGplB4rjF7OTzFCv78Lxy91uDkBbN+jiN2pXUBy1q4YRNwqC7rctfTn9p9Ka0LFJYOF4BEDhOFimtlLwBUdgk9BdRScD0+DeBVDfqOFky2V68bCVtFmx5WLZHHLUxgO1ksexMmsLziiSxf0sX9ihoEgSLxHGHmYnnlrd1M03RdmGX5OwwhJAYrQjrsyRByurdYi9uoQcnX8b28ghpYbkZbC/fZQsSy3axuixfWBbS9rCjAIwhrM0iLBvLy4LR6CS9wJxcATuTJ/ab+NVJpJvBK/aS6RnCn7uKigLCxjxBdRodh1QOPXJ7jq7XwQCNhkHdxJPBmO5v7qN3sUDgkSUhRpH6Dy3BxQMEigTF9pZwu4Ue3GIvrelLtOeuLlcHLSFqLeLkitjZIvnBA938/X10YO8CbMvDsjzCuIljeXhOkVjtsK5Ka8Jr18ifOoUpFhFSpuLnYpHs0aOpQLdYJJqeRjUaaRXTTkII7P7+1Bl4SQhNV7fSaq2Uid8mVKu1Rgi95OqMbcPtiKS7MFqT1GpE09N3NMZNbQuDtGwcJ4vjro64GaNp1q7SP/wwluXidxaWLRvisEUY1IijPhwnFXQnSXBL4mHodjl3sjhuvuvlBCCQ0kEgsW0Px8ljjCZfGEKpiMCvkcn24LhL2/I3RXKEkDhunnLPIVyviO1kaDYmAAiDWhrlEWJ5vWmUJiCgSqE0SrnnIEJIbCdLffEyGI1te2TzfZR7DpPN9dFpzxCFze4+2OSLw3jZClor8qU9CGmlhCqo43nl5W1F0c5HcWCX5Ow4jFapg2Sw8lCRloOTLeIWeikfejitoEliwsYcGLA8j9zAfop7T5D4DdxiL0nQIWrXMEYxf/YZeg4/SmH4MEnQIurUSdpNLMdDWDbKTy8eHYcYDJabzrYSv4FOYkyXGMkl+/Y7gNZwbULh+walDJa1en3GpOn08xdiwvBeSKuI1HiRm88QJZIiFXzRITQdYqLu0oIsBSxhEeDTMdvj0rsEy8tiOV5KcDaYDYetRcLGPD2HHksnzbexnbRNRtpZc8lVelPL2RJhpS0JdHC3G9puDlrHGJPgOnmUjrGs9OWxo2VWxhBcukRcrWKVy1iZzPK9lTl0KC1rPnaM5rPPEly6hGq1lntW7Ui0QkrcoaHUO+Y66CBASLmq0mq7IGw7bdHguug7ITlxnPbwugvl32GniimOks310Tf4EEYrlIrQKn1ONusT7DnwLsKgRquxIh6PoiZBZ4G4MMTAyKMABJ0FWo1Jwm6a6sYJCqQkIgzquF6RvsEH0TpB6wSlI9xMEWMSsrl+vEwFISVJ7DM1/g0Cv0ocDS5vy2/Pd7d1i+oxkbrk9w89hGVnaLemmZ9K9YhhUCPwq7heaXm9rcYkrfo47eYsfQOKvoGTKUkJGkxPPke+MIyQFtlcP7adw3FzjF/+Er5fTcmb7dHbfwLXKwOGSu9hpLRYmH2NoFPFdYvXbWuCZn18TUpvu7FLcl4HJJFPUJ/Fr04x8fXfR8erqxFyAwews0X86iTzp79K7/E34eQq6ZfG4M9dw5+7RrZvlPzQIXqOPMH86a8Rd5rYmQJeeQAQ2NliWv7XaS4vu91QCp55JuLs2YRKWTIwsDYyFIaG//ILbaqLOxt63gw8MpToYZ6pm5oomu7/KvTToEpMddXnLhmyFOiwvSRnyQ1XWBvfmkJaqSuyuX2L9eKpfWT29KJjxfynX9z0cvljI2T29WMXPKZ/59nb2/gOo9q8QidcpL98FM8pMrt4Bj+8ffHuZqE7HRpf+Qra9yk+8cSq74Tn4e7dS9/evWn59tQUwcWLtE+fTiuvtpnoCCFSzcx1JEcIgVUq0f/DP7yt21q1XdtGZjLoO4gUJYuLaVPNHU5VQRpNmLz2NJPX1m/CqnXMqy/86rrfddpzdC5/ad3vXn3+V9b9XCUBjdoYp7/1y6s+l5bLvoPvYWH2DO3WNGFQQ0iLU0/8RWw7S7N+lU5r6wJdlYQ0amNcvfSFddu/1KqXUtH1Orh8/tM3fCLIF4botObw23MszL22ZpkoajF2cf1ikVTgvX6hyE5il+S8Dkj8Jn4VCsOHGX3zRwCBCjt0FsapX3mFYHEar9RHad8DOPky0kq77Arfws4WGXnTRzAqQdoORmvmzzyVitcWZ0AIsgN72fOO70faDkF1ivnXvo7tZW85rtuFUvDP/2WT97/X4wPfkeGBB2wKecn0tOKllyP+8FMBX3sqIghe30hOhhw9YoAhsQ/P5GhRIzAdQDAk9iKQ1FmgY5pEBEQEeKw9bjERMRHWDtw+UbtG4rfoO/IkjWuvoeKQ65mMkDaFgQMUhw/Tnh27c7fr2yK+ZsMo0+uN3uKh5f5uUdLBmBZx4qPWmVXvBILLl9MmlpOTlN/3Pqx8Pk1dXRcxlZkM3v79uCMjFN/yFuL5ecIrVwiuXiW4fBnd2R6dgrVOtdfN+lRtz0atNWX0W8WSk/G3E4xOWFw4z+DoY/QOnkSrGMtymZt68XV3DL7fsUtydhiN8TOrSoABMAYVdqhfPY3l5hBCoJOY2E/9bVTYpjV9idhvLpu/Ga1QoY+OQ+pjp7vl3wKjE6JGFYzGGE3UrFK//DLCTh/0cbtG1KphuZm0e3W7nua8gxbzrz29Ko12J7h2TfH5L4ZcvpLQ3y9xXUGrZZiZVZy/kOD7r/9LMSEmJiIhoWGqRAQ4uGREHhDERBSpYAmLBTN9k5TWdeX82wy/OoWTq9B39ElGHvsQQWMeFXYwWiEdl0x5kFz/PqTtMn/uWcwdzHbtUha7lKXvOx7Cynk0T48TzdTQStP7jhNgybQbcyei8eIVklr68rVyHpl9ffS9/yFkzsO/PEu00MQdLKODmGA8NV20ci79H3qEuc+8hL4DQ8WtQAgLIdIX+5I5WU/xAO1ggXp754W/Jo6J5+dT87wwJHvsGN7oKFa5jOy69wopl5tJmmwW6XlY+Tzu3r1kT5wgvHyZ4Nq1VLtzu94+QqQdz++22v+6PlK3C5MkqSv0txGM0fideRZmXl0Wbgth4XfmSeLb05OFYRNtNH5nYZsmJYZ2c5owqJPEd+5sfbewS3J2GJ3Z9cspjUo2/E4nMUF1iqC6fgVE4+r6hoEAKuzQmlobElRhh6i5ErLXUUDj6qs3G/qWEISGCxcTLly8d3spJcREJiQipMkiBkNG5MiSJyEmoE1RVLDN2l45dwtBYw4561Hak5aKR+0aSeinkTvXwyv2YZKYTnWS5tT5O/I6khkXp6eAN1TBHSqnzs5aE8428IYqYEuccg4dxkSzdVpdU0Tp2jiVPN5wBac/bath5T2sQga7mCVebGEShd2Tp/TYQRa++OpdIzlx0kaJlceaEJJyfi/G6FuTnG0iBCYMiWdmiBcW0O02qtHAHRnBLpdTp+Al8tH1mBHZLG42izM8TCZJcHp7kbkc0dQU8cLC1htMLu2O46zaJ9MVyOko2jESYYLgjtNMptvE9NsNcdRmceH8rX+4SSRxZ9urlwJ/Efz7q1XGLsnZxbchDAKRVjogEUg0ERpD1cwSmXSWks6CN3rxieXmj9sJFXZoTV/m6tc+wdCjH0i7jvfvTV1H44j27BVqYy/TnDxP1K7d0bZMGONfnWfyN75G7vAgPe95AOFY+GPzTP7WUwDkDg6QPThA8dQ+WudS0m1iRTzXZPI3vkb2QD/lNx0mf3KU2f/xTfb/9Q/TfGkMAWT39NF4aQwd3T3i2+isnRjkMn0kOkQIa+Ny+22IQKxBktB+6SXar7yCVSqRPXqU4pNPpg0vM5mu98JK92whBMJxyD3wANnjxwnHx+m8+ir1L3/5tiI6Qq4151Tt9nIbh51AOD5+x47Hu9jFdmKX5Ozi2woxET4tDotTVJkhMgE15tkjDuHTokMrLeMUDsMcICPyODhgoEGVHHn6xCgFUcbGoWNa1JhHb2MZt1Ex/uIUY1/+je5sX4KUGJV0hcnbM9NNmgE6SccdTtexMi5OJY8zUGTPn303qhNi5TyElISzKy9F5UdE82lqNZxtgJA4xSyqHaI7QdpwtaeP3IkR5v7oeXT4+uorOsECsQpu6ickHeeO7RQ2hNaoWo3Wc8/Rev557HIZd3SU7OHD5B56KO3RdCPBkhJv3z7coSGyx44x++u/nrY12EKURHU6a36fNBo0nnoK//z2RQxW4ds0CrOLexdvSJIjpY3rlRgefpw4atNsTtJqTVKpHGJx8dKuedq3MUJ8Zs0ENjYRYZecCMbMGTQGRYJGYYxhgotIYy1reQACAmbNOAtmGoEkxN9WgnM9lkpQd+qVYeVcZPeF5PTm0WGMdG3yh4dI6h2qX3kNb6SHzN6+tGy8C+nZ2JXUU8TpyYPWJE0fow215y7j9pdw+gppCWy9AzfxULobaPrT61aWXA/hugh7hx+H3XRR0m2GGU1N0XrxRbx9+9Iy89FR3MHBdDxLkSXXxd2zh/I730nr+ec3b+JnDCYI1mgxrGw2jfB8m2ledvHtizckybHtLD2Vw2idkMn2EkUtOp1ZSqX91OtXUbs3+LctNIoQn6ibrlpCm9TM6npK0WGtWdXS8jsJabt4pX7cfAVpOyDkuokxYwyLV166bV2OsC3sgkfx0QNk9vYSV1skrRBjzHJTUyuzVp8kLIlVyFB8dD+ZkR600oRX5sAYOpdmqbzpcKrNqbYwyV2yDbhJqim5lWmaZSFcd6Xh5E5DKXSng+50SBYWUO02ql4nmpnB27eP7OHDKenqCpRlJpOmr65dS0XNm6g8MqSGfTeSGZnLITwvbTq3+xxcA1nI4R05gCzk0R0f//mN9Y/3FYQg8/AJ7Ep5zVeq0cR/8bW7E4GzJDKfI/voA5goJp6eIx6b2NFNviFJjuPk6es7wYWLf8zoyJuxLA8hLPL5oeXKi118e2P90uvXP8wubRe32Evv4cfJDx7AcnNIub5po9GK2tXTGLVCJMQN5G0jmEih/QS3XKT37SewyhnmP/sywXgV6TnYxSzlJw6iI4WOFaqTlrKbRKH8CB0pet52HLuUpfbNS7ReHQcgmq5hV/IIKehcvnVvnS3BmA0fxHdSRbTk1Hujcd7dQjI/TzI/jzx/HndkBKtQwB0aAtdNdTqAt3cvzsAA1vj45kzyjCFeWFjlrCyEwMrlsHI5pOdtW6n6GwlWb4Xih9+Du3+UeHL2jUNyLEnhXW8mc/LIsv5MeOn1FV4cw3/lLCS3QXqXIrx643vzegjbxh7oo/fPfj+q0aL11W/skpzbg0GpmDBYXC4j3cUu7gcUhg/Te+gxeo++CX9hgqi5sGFvsbQK5fpIiSAji8QmQJlkVSuKG9E6PQFnO8QySzup4+vVpoYX/snvrLtc+/w07fM3sduXAivjEC00l4nPdkHH8bol82IpEnM7EAJ3ZGS5vPv1hA4CgitXmP31X2foz/053NHRFUG0MThDQzjDw5sjOVoTXLmSNg29Ac7QEO7wMMGl9U3gdvEGhNK0v/ZNwgtXkNkMMp8j//YnENnMrZfdCJbEGUnTq2qxgW7fm6T5DUlytI4JowYHDn4H5fJ+CmqUfH4Q35+/ZW5+F7t4PZGtDJOpDLFw7hmmXviTtA3HzZyZrzO5k1gMePtZjKfxVZPEbJymMV1DP0s49Ll7mQjO3JGxoFXMUnpkP5W3H6dzYZrWmYlt1+LoIIB1ej7JbBanr49wbGzrKxWC/MmTyOzOmWVuCcaQLCwQTU5i5fPYPT3p50KkfjqbHacxy32ydKWC9Fa6RGePHEF3Orsk59sJxhC8eh7OXkqjOK5N9tEHkHdAcmQmQ+WHvptkdp7ON14kPH9l+8a7jXhDkpwoajM/9yrZXF9qtKcVQbBIpz23G9nZxYZwXdi312JkxGJ01GJo0KJcEriuwLIBA2EIzaam3tDML2guXUq4dFkRBGbDwhe9he4LluMhLZv2/DWiTmNLehtBSnQqziBFu5fYhLSTGoFqU3L6cWUGg6ERzxPpDsrEKJOQkStVRY7IkLOK2NLDFi6+auKrJrG5eVmwDmP8K3PoWBHN1omr2998z8QxOgjQQbCq+7VVLKZRj299a2sr7PZwyhw+vGp9rzu0xpi1lNNovTV/myQhuHIFmcvh7dmz/LFdqeDt3Uvm0CGCy5e3Z8y7uOdh4gTipPvf1p1NQqREZD3c/SPoVifVeN2jeEOSnNR2XhHHHZqNCZIkIAwb+P786z2w20a5JOjrk4wMWxtbtxhodwyTk4rZuduPWFUqgv4+ydDQ9ly4WsGVsYS5eb3eRPx1hRCQ8QRDw5L9+yweOOFw6JDNoUMW+/ba9PVKMlmw7bQTpu8bFmuaalUzOaV55XTESy/HTE0r5uc1s7N6NdkxkCRL+erN6UZSR+rbd6J2ZAbbaBxcLBwEgqLdiyuz6G6/q4VoAo1Gm+SGZT0Kdi9CWFhYSGEhhaR2C4dTEyUEE1WCiR3sEaU1qtNBtdurSU6hkHrP5POpzmQzAkoh0pf//v04Q0N33IoAy8LK5VC+v260aSsQ3YjNjRohE0Xrpp9uhuDyZeze3rSPVfdFJDMZnMFBcqdOEVerWy5NXz1YsdyvSrXbd6Xf1C5efwjXwSqXkMUCyLvsqr1FvCFJTjbXz5GjH2Vx8QKL1Qv4fpUk8bmxeuZ+gZTw2GMu3/2RDD/259PuwdfrLJee6UoZTr8a8/P/pc0nfse/bbH8k4+7fOy7M/zZH92eTsW+b/jZf9bgd37XvyeadC5BCMjlBAf2WfyZH83xQx/PUSqJlNBsAMcRlEqSA/vh8cfguz+SodHQfOO5iC98MeS3PtGh0ViJ6hig09k4ynMjkqhDEnZw8xWEELd1DhvxPG1Vw8LiYO5RPCuX2sarJomOGckcox6vLwqWWNjCpZ7M0kyqDHoH6XFGqcVbbw64E0hqNeL5eZy+vuXPrHweb88eskeP0nnttVsb5wmBcF28kREqH/xgWsl0J0aAloWVz5M7eRL/0qW0HUOS3FQofbN1eXv24AwOLncKXyoDV60WqtHY0ur8ixdxBgfJHj2KVSoBqQDZ7u2l9Pa3k9TrtF94Ia3E2ux4l3RCQiBdN40M7dtH+5VX3mBi5u6xkAKE7M5Ruu8QQ3qsNntjC9E1f1xaR3f9S4LdzR73Neu4jfXcLoToHguBVSnjHtibfi5lar9wY3WiMWkkejMRIym7ZOm6Y2PYFt+lNyTJaTWnePmlX6Gn9whDw4/juUWMUSwsnGN29uX7LmX18e/L8mN/Ps+TT2482zQGfuM3ff7gkz5f/kq468e1CTz5pMOf/sEcH/1Ihr5eeWMvw02jWBS8/70e73iby0/8eJ6/+w9qvPxyTK1uMBoWa5snOc3J84Bg8NR7CRpztOeuosKtvThiHZDoCCFdQGALh0j7KJMQm4ArnReJTYgrNtZ3pFEelabA7qGKxHBsLCUUJ06s+lzm8wz88A9T++xn6bz2GtHMzPovICnJHjtG4bHHyBw9uqJ5uQMIKbFyOfo+/nFMkhDPzRGNj+NfupSKf1utW5Z9C8fB7u0ld+IElQ98YI1GSLdaROPjm/fJWUKS0Hn5ZXS7zcCP/Miqhp3Cden72McoPP44wcWL+OfOEVy9uqFjsXBdZD6P099P5uDBlIwNDGD39RFNTOBfuvTGITldwiA8l8J73op3/BDOnmGsYgEThcSTs4TnL9P55svEk7eYADgOuSdPkXvyYeyhfqxi10Nqvkpw/jLBmYsEp88tp5LWwLawB3rxjh4ie+oEzuggspBHODYkini+SnRxjODMBfxXbrKeO4DIeLj7Rym87+04Q/3IShGrkEcIQe6Jh8g99uAaMhJdm6TzzZdofuYr669Ua4QQyHKR4ne8g+ypE1iVEjg2hBHh5Wu0n/om0dgEanFr5P56vCFJTlpdFVKrXSYIFsnnBikW9zAy8mYWFs7cNyQnlxO8650uP/lXCxw6ZGFZYk0lcTqZMPyn/9zm058OePVMvBsxvgUcBz7w/gx/+SfynDhu09sjsazbn8mnlvzgebBn1OIf/6My/+23Onz1ayFjVxX1ukZt8py4hR5yvaNIy2bPmz5GErbRUYBOojXGbsZorn7tv68SH8PaWOVCNEGPM4wn8oS6QzupkbEKFO0+SnY/WatIOZ6jpdJUkxQWA+4Bep1RlEloxPdOmjep1QivXSMcH8fds2dVBEa4LsW3v53cQw+hGo20d1QQpJEbx0nTNP39WKUSdqGwTCTiqSnianVZq3K7EFIiPA93aAi7UiFz9GiqIfJ9tO+jms3VHba7kRBZLGIXi1iFAjKXS8d1XcsHgMZTTxFOTd1WOihpNgkuX6b2uc9Res97kNc37rSsdLylErmTJ9FBgGq307RYV/8jHCclOK6bRr26x3L535aV7vttH7l7DwbAsen5ke/FO3oAhEh7kvkBdm8FZ98I9kAv7uEDVH/td1HVGmtuciFw9g6Tf/NjZJ94EJnJYKIYVU9f2FZvmdwTp/AO7SNz8gj13/ljTLT23eQe2Ev24RPk3vwoMp/DRBGq2QaVIGwbZ7APq1zE3T+Ke2g/9d/54+0/IN20pIki4tkFZMfH9JSxh/pRjRZqoYZqrU6xJ3MLJPMbVwIabXCPHKBnoA/v2EG0H6LqTbAtrFIB7/gh7P5e/BdfpfWVb6TH+DbwhiQ5UjpkMhWy2T4sy0VKmyBYROsEre8PA6yeHsHxYw4f//4sx4/beN56BMfQahu+/nTEpz8TcOZcTKOxG8K5GQoFweFDNh//gSyPPepQLMpta1kkpcB14cEHHL7zwxkcBz7/hZBGU6M3KfKTTgbpeMSdBtLxcGQR42bRKl4zUzJGr3oRajSNJBUVaxJiDQvROO2khi0cLOGQmIhQd1AmIdQdWkmVQLdIzAqJMsYQmlSYHKo2gd5+EfHtwsQxcbVK+8UXsXt6kJlM+pLtHgentxe7XEaHIc7QECYMU8JgWUjXxSqVELadpgKVQrfbtF54AaN1Gp24A5IDK0RHeh5000M6STBhmJKdKFr2rhFLepYusZHrNNQ0UURw9Sqdc+e2nKpahlKoZpP26dPYPT1kDh7E7ulZdniWS+Mtl9MsTBimncC7qQJh2ynRsax1W1+sV9Z/v0PYFlaxgDx2gHhylmSuiqo3MUph95TTF/BAL+6hvWROHKbz3CsYf3UEbCn6kjl1HOE4+KfPoap1tO+DAbu/B/foAayeCtlshuCVc4TnLq0hOiYM0e0Oqt4kvDjWXUeA6ZIcd88Q3vHD2KNDZGybVk85JQvbeV6ShKRaIzh9Pk1X9ZZxD+1LSc7CIsFrF9dEtHS7Q1LdmOTIrIcz2IcuFQgvjBFPzmDCKE3/VorkHn8Ie7AP98gBvIkZOrskZwW2naFc3k+5cgiBwPcXaDTGmZz8xn0Rxclk4MRxh+/8UIYf+L7UPn89gtNuGy5dTviFX2zz3LciNmGEuilEsaHVMixUdZoqlStpaSlAWmL1vyXAWhJ2r8G2Ye8eiw99wOP7vidzUx3G0gs/rVo2KJVqniAlM0KmPliZjMC2V8zohEgLDd71Do98TuD7EEVm0+lDoxJiv0Xsb4JY3NDDyqCpxivGWoqEqTDtUTQfLXXgXtGlRbpDnbWhdkVMNZogUK0da1lxJ1CNBs1vfIPM8eO4w8NpqwJrxTBRdEXAVi634TpMHKM6HaLpaZpPP427Z89yS4XbgTEGHUUpWeg221yC7OoVljQ2m1pfkqCjiKRapfn004Tj43ckaDZJQjQ+Tv0rX8HEcZqqKxZT9+Ol8XaNB8VmK82MWSZiyvfXRBrvZ0jXRVRsktl5Wl96mmhsIq0iAnBsSh96N9nHHsTdP0r20QcJXjmHuoHkeEcOkHnoGM7wAJ1vvULjU19MIxtLJDebofjBd5F99AHcPUPk3/440bXJNSQnnkrdxHUnIHj1/BoCYw/1U/mhDN6Jw9iDfTh7htDtDibaPpJj4oRkeo5kei49BHuGEK4DT5wiWagRnLlAeObiltZpFQsoy0fXGjQ++Tnimfk0GiYEIuNilQpkHjyGM9hH5qFjdL750m2N/Q1JcoS0sJ0sly/9CVHUuu96Vb33PR4/9PEc3/ux7LrEwRhDksDnvhDyy7/S5itf23qH4pvhtTMJzabP6dMJPT2CcllSKAiKBUmlIqlUBMWiJJ8XlIqScllgWQZj7m2is3evxYc+6PG3/ufihr9Jn9PpwzoM0yjZxUsJk1OauTmF1lAqpsdhcFDyrne6HDxg4zjpMksvNynh0Uccjhy2+ZPPhnju5g5MbexlamMv39F+3hw3fxElJsJXLfQtzARfV2iNajaZ+cVfpPL+95M7eRJ3z54tCRTDa9donz5N46mnMFFEsriYVgcZs+Vu5CZJ0kjJSy+RO3kSq1DA3K7Aa2l8k5N0Tp+m/fLLxDPbJ/qOJiZY+MM/xB0aIv/ooxTf+lak591eOYYxqGaTcGyMxtNPp+LlNwqMwUQxjT/6IuGla6ujNHFC57mXEZbEPbgX7/D+tdV5jk3mkZNkThxGtTvUfvMP03TO9ZMSP6D91DdBKdwDe8g9+QiNT30R3WqvTn0pRTwxQzyx/nWQzMwTvHYBmc3gHtyDu3eE8OJV4B6f0BtDPDZB84tPE0/OrvrcBCHNP/kazvAg9vAAzr7R297MG5LkhEGdyYlnUSrmfqqmsiz42Ecz/M2/UeTY0fVPjTGGKIL/8982+cIXQ159bfsv5GpVU69rzp5LVkVsVv4WSyL75YjGb/xqHydPOPcsyXFs+HM/mucj35XBuclVbwxcuqz4zGcCfu2/daguauLIoHRaCm8wyO7+SwtcV3DokMWHPpDhA+/P8PCplYedZUGpJPjYd2e4zovtnkag20SRj0Zzr987Jgioff7zNL/xDZz+frInTuDt2YNVKqUl2K4LUqI7HVQQoFotwqtX8c+cIV5YQLVay5VYSb2ekpzbGohB+z7VP/gDap/9bFqyPTiIOzKC3dubam2ubx3RTfkYrdOIUruNajRQ9Trx/Dz+2bPEi4ur9TvbCBOGhBMTxLOzaRRr717cwUGcwUGcoaH02Hlems6SMvUnCkN0u41qNom7uqh4enq52aiOojsunb/XYJIE/6UzmGCtqaaqN1GNVqqrymfXlFG7+/dgV8qpEH1yeg3BWV7PYiMV1SYqFRgP9qOabXS9uea3N4NutdGdbgVxt13DvX33pkgWFgleu7D2CwPJ/AImjhGOjZW7fbPONyTJSYXHq6MbQtiUSntpNK7dk5Gdcllw6kGHH/vzeQ4dtMhk1kZFtDb4vuEXf6XD574QcuVywhZtMzYFrdM/cbzRbbL28x14Fm8r3vZWl0cethkdkeumqZaiY3/y2YCvPhXxzLMRY2MJ6+gAWb3/hiAwtFs+584lfNeHM3z0IxlsWywLku8VM93NwdyTKaqNYMKQJElSYW+rhX/mTKqJ6b6gEYIDJzz2HPEoDgn+6A/PEM5V0WG4qkGliWM6r72GbreXIzlJo0FS3aTvT5fo6K72JqlWCcfHU7KwJM7tjmnp+jMASi2nppZ0O8niYkoadjL9oxRaKXQco6OIaGoq7WmVy6UaHMtaqcTqmhCaJEm9esIQ1WyiOp2UJN6B9qP5zDN0XnttVVuNpF4nnt3mvmdbhFEK0/G7+pm158EkCpOk1YdYa3vL2b0VhOciPQ9neIjev/DxDbdlD/Qt94CS2cyyVmr1j2ysQhb34D6s3goyl0V6blphZVk4Q/3peljqYH/bu37XoIMw1RatQyIBTBRjjEn35w4io28okiOl3TU7M0i5Onxo2x7l8gFarcl7rgt5qSQ4ftThu74zw9ve6q5bRaW1oVZLfXB+73/4nD+f4Pv3A1d//WFZ8L73ehw8YJPPb3yznD+f8JnPhnzlayHXrm3+Gmm1DK++ljAxqYgiw8mTNnv3WuSy907p9T0FAYWyjVIGv7m1ezFbTKsMW7XrogZdAXG0QSQm09vHngd7GBrOkkxPosN1XsrGEE9PE0/fpC/XZqD1cjXVpgnS6wmlUPV6GkV6HTYfXNyajuNuwSiNDqK1FVPLP9AbpzZF2s1c2FZaKVTMk33soZtuT7f9lfXeAJnPYff34OwbIXPiCFZPeZncCEuCkMh8FplNw8V35Pl0F2GiONUfbUCSl4Tv3CFpe0ORHNcrk8RtjNFks/1cP+O27Qyl0l4mJ+8t+2nLgodPOXzkO7P85Z/IL/tsLWFJzNfpGF58KeJf/ZsmL750j4dN7iEIkYqDv+e7s4yMrH/ul6I4/+UX2nzxSwGTU7c3M63XDX/wyYD9+y1+9E/nOHJEIO9xN9DXA7YtOPpEkXY94fxzmw/LW45g/wN5MnmLF7+wiSaVXWhlSGJNHGqE5H71BN3F3YTWaRuE24ToVsqZOEHXm0TXNudvpOqtNT433uH9ZJ98mPzbHgcM8fQcyewCyUIN3WpjghBn/yju/tHlaM79AKPU1tqU3CbeUCRnaPARFhfT/N7Jkz9IozHO0tNMSpt8fggh7i2S85HvzPATfzHP297ibqhnabfhP/5cmz/4pM/Zc2+svPdOo1QSfOiDGQYHJRs1mm42DV97KuR3fs+n07mzt58x8J9+vs3wkIXrCg4ceEPdYncMIeDgqQLv/eFhxl5tb4nk7D+Z523fO4Cb2RrJeeFzVV78fBVEqqvaxS52GiZOUy261SE4f5nqL/325ha8Iaph9VUofPCdZE4cwcQxtf/+STrPvYz2w1VptNzbn0AWcvcVyblbeEM9gaennyNJAly3wPz8a0xNPQfdChHbzrJ37zt2VI+j1ebT09ksvO2tHj/9N4sbGv1pbWh3DP/snzf46lMRY1eTXSfjLaJYlHzoAx6OIzYM41YXNb/+mx2icHsObpLAF78Upu0fdknOKggBhx4pkivZWxap73+wQHnAJWxv7R7eabf7XWwdtg1D/RaTM+q2zk25JHjfO3IcPuDwb36utu3juyOYVFBrohhRLmL1Vm5PtyTAPbS/67IcEU/M0Hn+NLoTrLmgrVx2jUv2LlK8oZ7AYZiaZcVxh4Xq2VUNOaV0WKie21GfnCg2JJt4/lYqgmNHbX7oB7McP2avKzJOkrQR5Kc+HfDlr4aMT2g2cFvfxQawLCgVBacecjbUrTWbmvFxxUsvx5t2Jd4Mzp5LOHs2xvcNmcy9nycv9jrsPZGjPOCSLVjY7uoDZrThla/UqE6FRIFOiziykoMPF6kMuuSKFtIStGsJE+c7VKdD2tfpZoYPZxk6kKFnyOPUuyv0DHscfrTIh358pTR0YSJg5krAxPmV1gA9wy57jufoHfZ4+L09DB3IEvlq1XKN+Zjpyz5jp1dKmIu9NifeUqZnyFvO5wethK98Yn1B69HHi2SLNnGkWZgIOfhwgVwpnXxEgWbmis/4uQ5+S61KdWUKFpUBl73HcxR7HSx3LZm+dqbN9CWf2uwOVAnch3Bs6O2xeNuTWX7/M63bKlqwbcHQgMWh/XfYWHWHkMxV0R0fYVnYlRJWuYRqtrZIdgRWMdX2mDhBNZro5jq6MymxekpYxe3pNbgZGGOW9UrCTh2v71W8oUjOEpSK6bTnsCwXrROM0RijaDau4Th5lIrQOkbr7U39hOHNKpJSZLMpwfnwBzP84Pfn1mhw0vEbFhc1r5yO+fn/3ObSZcU9ppW+L5DJCPr6LA4etDckOXPzmnPnE6ZuU4ezEcYnFJfHFPMLmr177t0HAIC0BYceKfDEh3oZPpQlV7LJFmzyFRvLFqjEsDgdMXctoLkYEwUaxxHsOZrj7d87wPDhLKVeB8sW1OdjXvpilXPfbHD5pRZxV+Q7cjjLw+/t4cBDBYYPZrFdQa5kMXRwZfZ59tk6L31pcRXJ6R32ePg9PRx9vMTg/gxuRqKU4UM/tkJyxs+2eeHzi6tITqHH4fEP9HLk8RLZooWbsWjMRxuSnIff28PwoSyhr7nwXJ03fWSAypCL46Yk5+LzTb78m9NMXfYJO92Hu4TBfRmOPlHk8Q/2Uupz8fIWme4faQkWp0Oe+t1ZgmayS3JICU5/n8XxIw4ffn+Ob74YUKtrgsgQRYb+Xmu5o4VSUKurZYmK5wrKpdShvFySZDMrD86BvpXlhID5qiKOIeMJPFegdOoOD+kzuFKSTM3s3EM1mauiqjXM3hGsSgn38D7Cs5fQ/tooDFIsV7OZKLpBL9bdR6OXjfJWLS8EVk8Ze7Afq1zasf1ZA6WX7RdkLpsaA944tnsEb0iSk832sm/fu1hcvECzOUkYNpFSMjLyJkrl/dQWL7O4eIF6fWxbtxv45pYl3W97i8sP/WCWj39/bs2Ld0lk3Gwa/scf+PyXX2hz6dIuu7ldjIxYPHDSxrlJV/GxqwkvvLT9Lx9jYHZW8Y1vhuzdc++GkaUtKPU6/IWfPcrMZZ+XvrTI85+t4niSH/hbBxg6kGF2LODn/vbZ5Uoo2xH07cnwk//2JCo2vPLVRS692CRsK578rn6+48+OcPixEp/+rxOcfbYOwMXnm8xc9nGzku/+a/sYPZbl/DcbfO5XVwSZQUvTaa6eeExd6vDFX5/mq5+Y4Tt/Yg97T+Spz0V84v+4svybKNB06qvvk+lLPr/4v1yk0GPzjh8Y5OH39NAzuIEoq4ueIY/+fR4PvavM5391irlrIZYtOPxogff9yAhaw3Ofnue1r6f7lCvZvO/PDPPA28pceaXFb/yzy1i25KF3VnjLd/dTGXT513/xNAuTIeoWk5+7BttKddd6Cx20txGHDjh86L05PvzePEcO2fzsP+jj6ecCvvliyCuvhfyvf6eXSknieYL5Bc3/+XNVLo0laA2nTrr85I9VKOQF9YamkJdUawop4X//e32Ui5JcVmDbgr/3M/NcHIt5/GGPJx7xWKwp/vvvt9AG3v3WLD/1lyt87M9N7tyOJgn+i68hbJvcWx6l54c/RvVXf49obHxNNEYW8jgjg1ilQurLE3afR8aQzC6goxh7oBdn3wgyn0O3O8tVRzLrUfm+D+Ed2ofIeivL3gJrIstbjDRrP1juS+Ue2IM9PIC8eBXdvPcMId+QJMd2svT0HiUI61R6jlCvX6G6cJ5sto+zZ36Xvr7jVCqHtp3kdHxNuIGuw7JI3XZ/qsiJ4xunT+YXND/zTxp8/ZmIiYldgnMnGBmWnDh+80t8bEzxwgs7k8JcWNC8+GLMD3zfvUtysnmLI48XyZdsnv3kHC9/uUZtNgQh+NJvTPO+Hxmm1O/QO+wx2epgDIwcyfHmj/ZT7nf4Dz91hquvtmnVYoyBM8/W+TP/6DCjR3K8/88ML5OcZjWmVYuxbEm7kRCHhmY1YeK8vzIYs7b9RaepCNqpyVm7lhAFGr+pVi+HWVN5awzEoaY2G9GqJkSdW7/QHU+CgV/7mcuceaZOHChA8PKXFzn8aIk9R7NMnMsuk5xDDxfo35OhMR/zyf84zvTlAAyoWKNizZ/++4foHXZpLcZ04nvjXs4/cRwhBEm1QXB+/K5v/+KVGKU6TE4nfOf7cvzj/6NKo6nprVi8/5056k3Nv/3PNeLYcPSQyz/6W3389b8/y+iQzZGDDu2O4u/+TJVHHnR53zty9PdaaA3/4J/MIwSMDtk8+ajHR74jxy/9VoNXXguJYsNP/5UKv/tHbQ4fcCgWJJ/7ys53S/dfOYv2A4SUZJ98mL6//MOp+V+9ge74yEIeq5hPtTS2RfDyWYIzl1YRleDcZbJXJ7HKReyBPob+3k8SXRnHGI3MZXCGB5CFPMGrF5D5LN7Rg2sHIiD7+ClkIZd667guMuOlJoaA1Vuh8n0fTj1rwggdxehOB/+bGzuv62ab6Mo40dUJ3NEhSt/1XvJvf4J4eh60QmY8kvlFglcv4D//ynYf2i3hDUlytIrxO/MsLJxhcPARBFa3qkoQxz5KJVjW9lvQBhukq0pFwYMPOPyVnyhw5LBNNrtWgxPHhuqi5v/+9y2efjZiZubOU1QCSerRu/EsUgqbNCSq0fegSeKdoFKWjG5QNg6QKEO1qpmc3Jn9brcN18bv7WMqLcgW0lB/0FaEHdWtQDL4LUWS6GVn6yUU+xz2ncizOBMxcyWgsRCjkvQaSyLF3NWAgX0Zhg9nl9NdxoDprtd0m5VqbdDqFhEOw/J4tDbL/ZJuudzS4jrdzmb6KmltCNqKi8838JtJlzil412cDukd8cjkV66nTN7CdgVKGdqNBN09BpGv8dtpubqQGwvedxpWJY/dU0w9X1oBSbWBcGykY2H3FvEOjZAsNlHNTpoKkakGxO4tkdRamChGei5JtYHdX0aHMboTYFcKJNXmbaUmlIIg1HR8Qxgb6k2N7xuGBmDPqM34VEK1pmi1NMWC5OD+dELYU0mjNDNzilpdMz6ZUG9oBvosclnBD3y0gDGGQl6yf4+DH2ikFHR8Ta2u0RoKecnJYy7FvOCrz/i3HuydIk6Ix6dpfvHrJIt1vMP70wqokcE0s6PTA6Ja7bTJ5avnl1NAK+uI6Tz9PKq6SObkEeyBPtyjB9J0UZKgGm1aX3uOeGIa78jBDUiOJP+WR7EqpTStJK1UR9MtN5X5HNnHHsQkCrTCKI2qN25KcuhWjjX+6Ivk3/Y4zvBAStjyWUycpN3WG617opzxjUlytCIMG+lL3hgcN0+hMAwCbCeDlDtTRh5FZo2ILp8XHD5sLxv9pU64a5ebmVU882zEH34yYG5ebYtDetYpY4wiUj7KrB+t8OwCrpUFA/VwtZeDQCKERJv7s2y9VJQMDGx8rn3f0Ghqmq2dSSV0fMP0Dub9twNapdESrQyVAZdSv0PYUQgp6BlxcVxJ6GvCtlqmypm8Rc+Ii9aGg6cK9O9bPWEo97tkcha5sr1MAu4HXxqVGPy2oj53QxdowG8qrH0C21m5ef2mIgk12aLNwN4MzWqMEJDvcagMuES+JmirZQJ4NyEcm8yxvanOI4xRtk1STQszZCGHzHkYpXEGK3RevYIJYmTOwzs0gnAsrFIOTCoqVe2AzPF9xHM1omuzeAeHSWot2CTRvBFL1W62FMseb0Kkpr9Jkl4rXT671AGjq7cRy4UdSZKSUscR7Bmxefxhj8npBCHSSWWcpM9ZpaHd1lwei9k7YnNgj02zrTl3cf20jvEDostX0a02yULtpjuhFuv4L59J/7lBmki32oQXxtBhhKo3sPt7kcU8wnUwQYT2A3SjSTwzT3hxbF1vnujyVXSng+4EuPtHkblc2hLE90lm5vG/8VLa0kEInNMDxNNzKWFZGWyqBbJXd5FP5hY22DcwnVtXuZg4JnjlbEqER4ewesrIjJc6eHd84olpksX6DQdEozs+/ivn0J10/BtvwBBduoYJI9R6gutN4g1JckBjjGb/gfdgjCZDL6XSPoSAQn4I1y1i1nGWvFMEgSG6LpIjBBw+bPHBD3j81b9cWOP+bbrh+YWq5utPR/zzf9lganqz4xLL/79epEYg6M8fIlEh9WCKdry++2rRG6Q3uw9Herw8s0JypLCwpYctPYKkeV8SnWJJMNC/seh3bk7TbG6+Q/hW4fuGmRm93PTzXqywCtqKsVeatBuKB95eRmvDi59fxHYFj72/l2zJZuayz8JUuExUbEeQK9r0DLn82D85ykYMpj4X42YlUaDvRT3iGiSRJgrWH6iB9Ga77hxeO9OmOhVxbDTDO35ggPpcjLTg8CMFHnh7mdmrPguTIWHnLhNdSyLzGcoffDPNr76EihJkbqWzuDPSC0oRTcxT+eg7iWdrqJaPO9JL8Z0P03zqFbIPH8YZ7EG3fOLZGsX3Pob/8iXUYpPc48fovHIZc5vliEqlhDKblWQ8QRynrVGuTSa87YkMhbzEcQR9vRbXJtKIWq2uCULD6HDa8mZ40KZYkOQygice9qguKv74822i2PCBd+cYum5y02hpPv2FDm99MkNfr8VCTVNvrn+ek7kqtU986tY7oQ3BaxfW77u05reaeGyCeGxis4doFUw3IhSP39yNO3jpDMFLZ9Yd66Z9erY6tjCi/dRzm/99nJBMzTL/73/p1j9Wmton/ugORpfiDUlyOp15zp37H3heiSjqoHWCEALHyTM09CjN5gTt9vZ19l2C75tVXivHj9n8jZ8s8p0fymBtEFCYmFT823/X4o8/HTA7t/mHRsHtx7PzWMKiHswQqjZgsIRD1imRtSs4MoNSEVJIPKuAwZDoEIHAs4tEqsVc6zwSSV/uwPK6LeGQd/sYyB0GIWhF8zTDWTrx5g3Y7gUUi4L+gY1JzuSkol7fOfGlUtDupNGiYkFueA28nlCJoToV8Yv/8Dw/8NP7+aH/10E+/rcP4Lc1V0+nFUWvPlVbFXVOIk1rMaa1GPPJnxunXV+fACexwW+o9Zzq70ls1U+nsRDz2V+ZZH4i4Hv+xj7e9j2DhB1FdTpk7HSLX/5fJ2gtxnef4CmN7oSoRgfv0AjB+XH8Syv6w/DCBPFCneC1q2RPHUJkXLzBCs5gD/XPPbes1dF+hF0p4B0dJbwwjlGKzLG9xNPVNNRym5ivKq5NJowOWfyHfzHIF5/yefb5gC98tcOH3pPlZ/9BHxlPMl9V/ON/VcUPDWcvxpSKkg+9N8d//T+HmJxOqJQlzbbh2ecDfvxHypw86lJvaOIkTYMtoeMbnn0h4Cd/vMw3Xgh45cz6vZJ28cbEG5LkABijCcPmsvmfMRDHLWZmnkfrpNuhfHsRBBDFadi1r0/y//kHRR5/zCWbXSteT5I0lfGP/rcGL7wYUa1u/k0gsMjYRSzpIIXFif73cXruM0hhUXQHGCocZa59hYLbD0ArmqeSGUGjaQQzSGkzkD/EXPsSgWmsXb+QWMLGslwSHaBNsilNw72EXFaQ8QT2TYhFra7xN5i5bxeMNjSbhnyOe5LkQHptPvSuHurzMa89Pck3Pz2PTiD0Fe1aknrDXIfGQsy119o8/N4eqpMhc9cCknW0aGm7jHWauYYaaaVtGraCOEr1QfYWl9tJ7D2eZ/BAhrPP1Pm9f3eVJDIkkSH0FfW56HWTJJg4YeG/fz4lKUf20PM9b2f+V/8k/S5REKsuqwNE2qvJxAnSTX1nhG2lKZlai8zBETovXcQeKJM9sY/2CxfTvkK3CaVgbCLhp/7hHEpDs6VptTVBYPjX/7GGbQlEN3U1PauWi8BOn434mX+9gJRp9MeyUq41PZvw0/9wlkSl9hvGpH9XaysH35KCQk5y/lLM2Qu7bXHuRQjLTjMs2rCd+e03LMkB1rgbG6OJop0rcQvDtMqjp0fygx/P8vhjLn29csP+RcbA5SsJi7XNmQhetyRSSGzp4sgMBbcPSRqt8ew8sQrw4xqx8pejWJZ0kWiEkEhh4VhZ5AYtLrRRJCYi0SFR0iGIGyT6/nIizGQFzjrGbNcjDNdqqLYbhlSAfE9zRCHYeyJHu5YwfcVn7HT7ptGXxZmIc99scOo9PTz0zgpjr7ZYmExNAh1PUqg4SEsQdhRXXrnxfjMszkQIIRjYm+HYk0Wq0xGWLYgDTdhRdDZo2lmfjVCJoTzocuItJRYmQ4RMhc1hR60yHxQSLFvguBIvK7EciZCCfNkmiTQqScXLd1pF3TPiUhn0mB8PGDvdvjdKxS2JzHq4I33IrIdVzq9KV60HVW+BMbgHU+2iM9yLkIJ4vo4z2k+y2MQe7MEeqBDP3lkkB9J779yltTff1YmN0+Id33Dl2vrfr7cuSP1z9o3aHD/icu5SxOR0QnsTlXb3E7IHjhDOTqH9na8Yux7CssjsO0QwfgWzDSLSzJ59qE6HpNVEB9u3L29oknO3EcWGXC6tpPrxP5+nv09ib+DRIgTksmn1z9xcOovZ7IvQkg6p6kYihY3odh307BxS2DTCWdpxlU5cI9Hhupw4rbxaH9okxCogSjqEqo2f1En0/WVk5nmp8djNEMUmFcXuIIxJ05ivgyXJpiEE5Ms2fkuRK9qMHM6iFd0qpjQ91WkmyyZ4tdmIs9+oM3mxw6Pf0UvfXo/pSz6dRkImb9Mz7GI0zE8Ea0iO0TBxrkO7ntC3x+PNH+1n7HQb25FUp0PmrwV0mutXvkxd8qnPx+w5luMtH+3n8istpEw7ks9dDZZJjpMR5Eo2vUNpNVT/3gy5ooXjpp43QVsT+Yp2PWF+4s5SF5lcavyHSA0PkziNjhhtUImhVU/L3vVdFB8LKZE5j8yJ/amQNVFEk6nAU/shQgh0GGMA1Whjwpik2kA1OuROHUY6NtgSVe8QTy6gDo2gGm20H6KDmGS+saOmb04xFUWrMMFs5v6UgmxfjqgRoMLVBLmnInnguMv735Hlt/+oxczc7bWRuCchBNJxye4/RNKor5Acy0IIsVzFKCwLE0cgZTrpEwKjdBqt0yaNnhjSm3PJ2+S6DutCWt1l1Eq1lJTITI7cgSOE0+PXkRyRNiddhsEszSSFSJ2RLSv9vdYrn0mL7P7DRNV5jFa7JOdeRRIb3v42lze/2eHQoZsfWssS9PbC//aPSvyrf93kM58NCDfxvBVIBvPHsKVDI5wlSBr0ZvelIWeTtqZPy8JT8XBaYZZ+J4RMqZGwcKzM8ho3hiGtf7h30gObhesILOvm4w5DtqWK7aYwt3bBfr1hjOGVryzy1o8N8MQHe/nTf/8gAElkaCxEjJ/t8JVPzPDC56up8WpsWJgI+U//81k+/OOjHH9Ticfe30e+bNGqp4Tj4vNNJs+vfVAZAy99aZFSv8upd1d48kP9vPeHh+k0FM99eoFvfXaBqUvrk5xXn6rjZiwe/Y5eHn1/L+/6wSGCtuLssw2+/gdzXDuTVmDsPZ7n8Q/08tG/tnfNOn765x8EIOxoTn+txn/4m12hprnuz4YHau3342fbDB/K8p4/NcR7/tQQkHY9jwLN/HjAp39hknPPNliYvHs6EBMnJLM1qp/4UvoiU3q523PnW+dW/bb2h19f9e/5X/pj6C6zxAaCc9cAaH7pBZpfemHHx3/wYyfx59osvDyNP3OLyLsUOHmXx//Ouzn76y+w8NJqce65izHnLsb82m9vvhHs/QLpemT2HMC/ehnld6uPhMTt6UO6HjoMMMbg9g3QuXQeq1DAymQRlk3SqOMODqM6bVS7hTEa1WpiF1LXZB34yEyqs7BLZaTrES9WiatzANj5Iu7AMJ0rF1YqwoRA2g7ZA6mWUwiBjmM6ly8ABullsYsl3L4BgokxVKeNcFzscgWn1INwbm7WebvYJTnbiB/8gSyOK6hUNm/jf/SIzV/5iTx791j8x5+/dZmcwRAkdUaLD1HyBolUgCXTi6MRziKQ7K88TsHtp+j2Uw+n0CahHk5zvP/dVDIjGGPIWAUA9pYepie7j5zbw+GetzHReIVI+SQ6pB1VOdTzFsqZERY6V6j6127vwLwOsCyxoeHiEqLoLkRygDi+J93OAejf6/Gdf2kPh04VeOp3Z5kZCwi6DTDdjGTfyTwHHirwF/73I1x5pUVjPl72vWnXEz75c+P88X8VyG6DWWPSl7xKzE1TN0//wSzf/ON5LDvVXxiTRoyS6OYH6uWvLPLa0zU+4cjl5VRsSKKVUNnY6TYT5zt85hdv4mhrWKUj+uTPj2PZYl2So2LDr/3sJSyLVeP7+N/az/4H8ySR4Zf+lws0F9OHvWWnabGH3lnhT/3dg/yP//sqz35yfo22acehNSa6jRDi1nLn245Lv/MKRht0cg+HP+8BGK3RYUjvu97Pwpf/hHBqHOk6VN7yboLJa2SG9+CUK/jXriBdF3dwFJQiadYZ+ND30Bm7iGrWUWGIThLaZ18hd/AoCAinJ/EGh8gdPkk4PYHy21SefDvTf/Bb6MBPSbMx9L7j/Uz//n9DtVfIqI7jdHsDw7gDQ3QuX8AulMifeBCn3Etn7CIDH/pe6i88i5XLkzt0jNarL5HddxDltwmnb68KbSPskpxtRF+3f8rN2ghcDyEEtg0nTjgEoWHsmuJTfxzc4oVoaEULTDReBgTaJCz4Y2k6yRia0RxjtedQOqHqjxEpnyBpYozmau35tI8XBiksgqTJQucqzWgeSziESZNEBxg0Sse0ogXG6t8i0SFBcn/NhJbK82+GJe+Nb1c4nqR3xOPUOyt841Pzyw04l8TCliXoNBJsR3D8zSUKZZt2LVnxfTGp8d3tIBXobv1lquKUPIVsvF2tDJFvtjS2W/32+s7nQkC2aPHgOyrMjAWc+0ad01+rE3cJhRRp407bETz4zgr5sk0mb919knOPony0j8qJfuyMg3Qki2fmaF6tE9V9ht68j96HBqlfqjL/4hRhdSWq55YzlA/30vPAAEYZ/PkOnakGzWsrXiyZ/hw9JwYQUjD73ARJ540rMjYqIV6cT9M9y88xgXQ9wpkprEwO4TiEc9M45R6sTIZ4sUowNU7hxCmi+VmElFheBqPTqKtY8jkRAqRFXJ0jnJtChyGq08LK5jBxhA4D4no1jRQuD8igVUI0P0vhxIOYJKb16kuAwRsaxenpwy6WyYzsxS6W8AaGUaFPMDlOMDNJvDCL3oEu1LskZxvheWtfmPWGpl7X1GuaBx90kHKtGWBPj+SBBxy++6MZXnwxZnZO3VQQG6kOsUqt7rEE0suBk+Y5I9Wh6ndSh2dLpFUQXUFI1b+GQHQnq12HWh3SjtcxhXJsdMZmMZxKHSzvlzrgLpS6dWsex751tOdOIWDHt3G7EDIlOuVBlzg0xJEmjlL9iLQEVkbi5SwcTxJ2FEly9wTUjpMeN6VWpxSFSD93HEEQmK62TZDPCVptg3+dtk1KGOiTdHxDsJ0ic5E6GZf6XeYnUsF1EmuSKHXZtTyJ40myBZso0MRR1635tjYl8ESOvFVGIFEkBLqNr++vScf1KOwtMfDYCK3xtLJTWLLrqC2QjqTneD86VtTOzRPid38jyPbn6H9sBACd6FRMbqU3lzGQ6cmm5+VgD+2p5n2RZXdEBk9kycg8IPB1k9B0SMwmNJBao/zOskxhGQKSRo2k3cAqFEiaDdzeAYSU6Cgkri2iAp+k2cDOFyCzUv6bdhNfOXBxfTHV+8QxqtNB2i4IiUmidNs3PmS1RroeQlgkzQb+tcsAWLk8aIPqtNB+h2Di6vI2k8YiqtUgabcxyfaT0l2SswNYiiKEEZw5k/DCCxEvvBTz//2nZQoF1tWKDA1afO93Z/n61yM+/ZmA+YWbG6gZDAiQnod7YD/J3DxJrYYJurl/SyDzOUyUumoCqfvpemYgS8x96YKVEpnP4+4dJZ6dI6kuwuvg2noniJNbkxzXTSNpOwqRbudeDBjFgaZdT2jMx5x6d4UwUMxc9gnaCjeTdgg/+dYyo0eyTF/yWZgIl7uK7zQqZYnrCDodzWJ95dqzZLeLdFlybUJhWzAyZHHksM2lKwmXryQkKr2cPUfwpsddrk0qpqYVc/PbM3ajwW8m1Ocihg5kePg9PUShprUQY3uSYq/D8KEsb/ueAWozEXNX09YXtwMLhwFnP4eyj2ALF1+1mI4vcjl4aVv25fWAW/Jw8i5jf3yOqB6gI7Uskp38yhV6Tg4Q1lfP6O2MTX60RO9DQzz19z61/PslTQ7G0PvQEGHNR8eK8c9fvNu7dVsoWwMMuvsZcg8hkYyHZ5mJLlNTs7deWAiEnRaeLHUxX3nQmNXGT6tcaPXKpFWItOLWthG2g/Qyq4iL0Xq1fYhIo99maRkpEZadzpiMBmlRfPARosUFovlZdJS+j3QcES3Mofw2nUupLix34ChWoYh0MwjLRjpOl2RtL3ZJzg5Aa1hYMPzzf9ngK18LuXZNYVmQy8FP/U9FDuxf/7C7LvzTnykRRYavfi1icuoW4W1jUpW8MWSOHSE4e544SIVhODYyn0cLAV2Sk3vwJOHkFGqxtoroOIMD2L09+GfOdUUVGrRCCEH2gRO0n3se3bq/HI87HU14C31HJrP51OLtQggolXY+YnQ7MAYmL3T4jz91ho/81T28+4eGKPU7ZLIWSZz2a5o43+EL/22ar//+HFFwdwiOFPDAcYdKWXJ1PGHx5RWC4DiCfF4y0C8Zn1Skli8G1xF86P0ZfunX2ySddJIRq9Sa4U2PuZy7mDA3v33iX63gF/7f53nyO/s48dYyf+Z/OUSh7KStIZqKxemQb/3JAp//tWnqc9FtGyI60uNI9nFckTZTLFq9ZK08Y8FpNPdn+mv6mXHCWsDjf+tdRM2QsT86y+JrsyTBxs8YryeLdC1a47UVgnMdigcqlI/2MvetSc780rd2cvjbihHvCAPOPmxSXeV+70FC3aGm5riZCl56GZzefooPPorbP0T5ibfh9PQRTGxdN2nlC+SPP7icUopmb+6sLHN5Mr395I89gNM7QM/b30v7/Bmi+RmsfIHiQ48TTF0jM7IXHQYsPv1l2hfOUHrkSUoPPUb+yAmE7VB/7utI16P06JN4o3txB4aJF9d35r8T7JKcbcblKwlPPxPxK7/W4dKlhGYrjcgkCfzhHwXs32fzHe/P8PApZ93lPU/w1/9agf7+Dr/x33wWa7d4OipF0mhi9VRWQo6OQ+HJx1GdDvHUDKrZwu7vI/fk4zj79hBPzpDMzhFNTWH19pI5dhTvyEGscploYpJkfgETJ6hmE6u3J92OZWEVCuQePYWQFtH4BPHsHKqx1kzwXkCrlVrFa71xuqhQkHiZnSc5hby8J0kOpNGcyYs+n/hXYzgZ2RUCpwriJDapd42v6GzgarxTWAou9lQkD55w2LvH4qlnQp541OXQQZuFquaFl2O0hk7HMF/V7NtrrUpRaAWzc5rBAWtHMhez1wK+9FszPPPJeRxPIi3RbShqUIkmaGuai/Ed965a6vAkhNiU1uxeR7DQYfa5SeoXq4y84wDF/RWEEMx+a2PBadQI0bEmP1Rc6mWzCp3ZFtNfG0OFCcf/7GO89O+/jgqTe75nmjAgTPeeY/MFCjoKieZmWHz2KzRe+iY6CtFhiIlj5j//KZTfoX3hDJ0rF9GBT9KoI2wbHUfoKGThi59G+W2EtOiMXUJ6HkYlaa/COEYHPnF9MZ1IxzEGw+KzX01Fx0ajOm2iuRnq33oGHfjoMEAnCarTZuq3fwUdR2nESJtuebmh+dpLaRRHSoxWqHaLqDpPMD2O0TpNp4UBOtxeXc4uydlGdDqal16O+d3f83n5lZgwXH3FLi4a/uRzIa4r6KlI9u5dbcYnRJrWOHTI4j3v8lhcNPz33+7ctMzZYFLhwvWb0hrVbCFzubTTrDGYrqBLN1ski4soP811mzBML8JEk8wvoNsdjEpAWstlpwBWqYg7NIT0PHQQ4owMIRwH/x4lOUqlvcQ6HU2hsD7D6O1JOxvvJKQU5PJiVRfvewnGpA7Ed+oXsxOolCW9PRaVsubCpZg4gWbL0OkYBvpW7h2tWddZOa1s2zlSkESGxnxMY37nxK3KJCzEk/Q7e5FYRCaglsys26/ufoB0LEoHKxT2V9CJJjuQp3WtRhIm2DmHvlPDFPaWcQoeOtbYOYfGxSqJnxAsdOhMN9n3waPoWBM1A8LFAH+ujY4UzWt14mZIZiDP6HsOMv3UVeLWrbUtWVkgK4sILOpqDmWiu3Z8G6pKRhYoidSdfjGZpqMb3JKdGYNJYlQzRjVXP4OTetp+Rwc+dDVN6gaty9Jv0q34qBYsl0cubeKGZVRrZTtGKZIohObqBpxGK6KF9VNt2u+kXj5SLmsJTJdQ3bjt7cQuydlGdHzD2bMxX/zyxi+Mb3wzIp8TjAxbDAxkcN21FT65rOSxR9OO5U8/G3L1qkJtITJttCaamiZz7GhqzKQ1qt5AN5pE45NE18aXLyjdbqMaDZJajeDipeXPRWY1AbNKJZzhQVTHR1UXcffuSaNH9zB831BvGAqF9b/v65Pk8ztHcqQEz001JBuYXu/iJujrs6iUJfW65vc+2cEYmJhKyGQEb3liZ6Iz9xqUiZmOL+FID0vY+LrJTHQZc5PqsnsZ0pHkR0sMPDpCEilsz6Yz26Yz28LybCon+hFdnU1hT4mkE9G4vIiOFf5Mi/mXZxh4YhQdKTozTRpjNTozLTrTLcJFn/Z0E/FNyd73HWL2uQm4pcG9oGj10e/swxI2gd/CNwrD3YlcLibTSCGXI5DT0SVa6nXqEXi3QoTriSV3cNu7JOcuwxj46lMhE1MJJ0/aHD1iY1lrO1T39kqeeNzhH/6DEn/n79Wo1ze6CMSqv5Y/FWtt/JbEyhuMbDkcvmbdpKWFwrah42NUgn/2HLq1cy0ytgP1umZmRrFndP32FcNDFuXSzoVYctmUzDr2t3ep+u2iWBD0VATGiOsmemLlqtzgml/92fq/vV+gSJiNx5iNx2794/sASSdm4kuXmfjS5XW/P/srz2+4rD/fZvzzF9cVFb/wb766/N8LL02vMQXcCI5w6bFH2OedxBjDeHCGkM5do5B1NUtdzXIpeOEubfHbD7sk53VAHMOVK4qf/J8W+YWf72V01MLz1v4unxd814cznL9Q4Pd+3+fs2dWzC5nNYvf3kn/8Mey+3tTtOJtBd3xyb3ocd3AAWSpglCK8fIV4eobMsaO4e/cSXhlLIzqAarZQ7Q7lj3wY/7Wz6E4Hq1Qk+8BJ7P4+VKNJsrBAcOEShbe+Gau6SDK/QKwU8DrNOjaB+QXNlTHFE4+v/73nQX+/ZM+oxcTk9os4i0VxS+frXWyMl09HRBG0O5q//TeKfPLTPo+ccnniUZf9ex1ePRszMak4eMDmXW/zOLjf5vJYzPMvRizWDfv22Pzg9+bYt9fm4uWYKDQ889z91Z5kFzuLkjVAVm4Q6t3FGwK7T+DXCUtE5z///1v8qR/M8cjDzprSciEEjmP43o9lqdc1WsH5CytER0cRyUKV1nPPI10H1Wyh/QCTJHSef5HA89BBgGqmERf/7HlkJgNKo5orPhvJ/Dw6CJCZDMniIiZRqHYb3e4gXHdVaXrzqachSdBBuCPGTduJhQXN1asbh52FEIyMWBw/Zu8QyZEcOrh7i20V2sDpMzGuI1DaoBKYnlVMTCnanZAz52KyWcmVqwm+r6nVNeOTCbms4Oo1Ra1uiGPD9EzCJ/5Hh1w29dCZmbs/q5F2sXMoWj14Mvt6D2MXO4jdJ/DrBGPSqpDPfzFk316bQkFw7Oh6FVeCo0ds3v0uj07HMDOraDS6KSWl0B0f3Vnb6yeeXBuuVdVF1FL8/rq0lPaD1EvnekFYAFFzbToquja+oyKx7cTCgubqtZWGfOtljIYGJUePWnzhS9u//XJJcOzo7i12O5hfWJ0wmK+m/240FVfHV5OVekMxOb2WwDRbhldee+M63u7izpGzSsvl+bt4Y2L3Cfw649IlxR980idODPv32WuEyEv/+b73eBTygrPnYr7xzfj2u1rfjJxsdqX3AcEBmJtXXLqcEMeGtDHuWpYzOmrxwEnnen63LZAS+gcsHntsfauAXexiF683BHlZwd2N5LyhcY8Wtn574ZvPxfzmb/n88q+1N+QPtg2PP+byb/51haFBa+edet8A8H2Ynla8+FK8YXXavr0Wb3rS5ehRa1u9bPbsSdNgB/Zbu6LjXeziHoNAUJS9ZGQea3eu/4bG7tm9RzB2NeHn/nObE8cdHn/UoVhc/cYVQuC6hr2jNv/0Z0r883/Z5NLlZEul5d+OaDQNf/LZgIdPOesSQyEE/f2SH/tzeX7mnzYIt8ku5js/lOF97/W2THAyIk/FHuRwdkUtXU/mmAzPs6g2VzFyIyQWx7NvoWIPpeWqwHw8zkx0hfot7OMd4ZGReUpWP0WrF0/mcURaziyFhTYKZWISExHoNo1knpqaJdDtbXXkFQgq9jB5WSZnlcjJErbwsIW9XBWoUETaJzIdAt2hrerUkxkiE95WybVA4AiPkt1PyRogJ0u4IoMlbGzpAgZtFIlJiE2Ar5u0VZ22qtPRdWKz+Ytpv/cgA85+PJm76e8SE9NWi5zufPWmv7sZjmaepN/ZhxSSxES80v4KHb3id9JjDVOy+8lbZTKygCsyAN19jejoBovJDPVkltB0bstTRiDJyBw99jA5WcKTeTyZwxEeEguDRpNub+m4ttQijWSBhM2LxyUWjvAoWn3krCIZWcATOTIyv/zn+nv0VP49aNQt92khnmAhnmA+Gb/lGGwcHsq/h5wsIm5hmNVWNSbC88wnW3cuvhUckSEvy5TsPsrWAK7MYgsXgUSTEOmAtq7TVjWayQJNvTX34aLVy0O5dyOFhTIJM9FlroQvL3+fl2UKVi8Ve5C8VcYWHhKJwaBMTFvXaakaraRKTW2fF9QuyblHEEUwOan4b7/VoVTMc/SoTSG/+oaQMiU6b3rS5cMfyvDFLwWcfvX+ardwt9FuG556OuInfY3jyHXE3akj8bve6fHgAw7nLyS0Wnd2cx0+bPHE4w5Hj2z99kqIUSYhI/PYuOkD2Bjadv22SU7eKlO0+ihavcskZzq6jNrAC0QgyFsVSlY/WVkkI/NkZaFLcNyU4GAhkMsvI2UUsQnT5dQATbVAXc3dseeHIzLkrTIVa4iS3Ysn8jgyk5INUqK1JBEzaBIZkZiY2IRElk+PPci18Cy+bmzpoVmweilaPeRlhYJVSV/2MouFgxQWlrBISY5Oj4CJKZj0mIXap61qjIWvbJrouSJLTpbJWcWb/i7WIdokrGv7u0l4MkfB6kEi0aiUtGJjC5d+Zy+99ig5q4grsqk/DzYgMGiUSciZlGSWrD4aap5qMrVpQpeVJfKyRM4qk7fKy8TRkR62cLGwu9eVSa8to8jJMkXZR2C1ads1ZuOrtFVtU8fWFRlKdh+j7rHu/rjYwsXu7vNqaYAgZ5U2tR9tVccW7qZ+ixDkZImCVUGK9e0slmCMxtnsejcJgaTPHqVsp0Q9K4tkrQIWbnr/LJ1bGZMz6Xmt2EPUkmkW4kkiE2xqkmBhd6+rlKQ2rYXlY9xv76Nk91OQFbLda8sS6blO71xFRhcoyB58a4Bi0st0fJn4Nico12OX5NxDSBL4w0/6PHLKwfMEx44K7Bt6K0kpGB62+Oh3ZQgCw+SUZnHx/jQGuxsIAsPpV2MmJhSeK9Y1/8tkBCeO27z/vR6+b7h8OSG8jUpjKSGXE7z7XR6nHnIYGrz5A209pDPXFr5qUrT6AHBlloo9AOHtvdjSWZuHFGmDVo2moeYJdWfd3wssytYge9zj5K0yrsys+j71UkpfQgKBhYMtXTyyFKwKPfYwDbWAHbkEur25jsrrwBXZrlHbHkbco7jC23AmnL6rJJawWXJjMMYQm4DZ+Fq3a/etj51A4MkcA85e+u19FK1eHLmOv0P315aQWKR+KxnyFK3UpbilFrkant70viYmIjQdpJYIJKLrBySERGKn/97mtKcQAgsbV3hkZZG8VWGf9wBFq2/5WoH0TKfbt7CEjUuGvFWhrAeoJT0oE7OQTG6KRBatXgacvfTYI+St8qrvrt8epFEYS9o4eOStMtro5Wtp0kSEunNLomMLl5ws0+fsueGb9MUqzUo6Ob03lqI4N98XbZItvXwj4xNoB0ukhHHpf1LY6dneIUt0C4ecVWTEPUqvM4Ins11i0T3OJt1biYUUFq7MUrR60UZRlD0oo2ioeQLd3tL+SmFh4eDKtMP6Hu84RasPT2ZvuK4AIbGxsC2XvFVGmYSKPUhg2tSSGSJzZ1W8uyTnHkMQwL/7Dy2qVc1f+ysFenvTz298wL35TS5KpWLZX/il9usw0vsDS1Vsv/O7AT/6w1mOHVv/ZSEE/M8/VURr+OPPBJw9l2xZX53PC970pMs//PslisXbfyHFJmQ2vkrB6kFgdUnOII5wiU3EVoiOQDDg7FuuIDEYfNWkmVSJN3h4SCHpsYco2r1Y2DcYRNKNXCQoE2OJ9MEtzcpD2hI2PfYQeVkmNB1mo6voLTrICiT7vJMMOPsp2wPLY79xLDeHoZpMEenOJh/QAldkOZ59C4POASxh38Y2IdAtasnMhpGy9bCQTODrZjdlk8EWDrZwcUWGsj2woxVAOatErzPKoLOfrEwjGcYsRVISEpNgSwdpLK6XcboyS5+zh5xV5hvNTxKb4JZEp2T1Laf+1h5XQ2ISFDECiSUsLLMi3JdC4ooMR7NPokzCfDJ+y0ihIsHXbRbjmdVfiDTKU7B6VmlymqpKYuKVLt0boKVqRHpzL19lEsaCV8jKQhqtkg42Lq7wKNp9y1Hb7YaFTcnq40TurZSs/pXeZ91ztBSBNGgs7PR6X6pERVJxhnjQKnMtfI2p6ALt61Kam4ErvTT1nnmMnCylEbruBpSJUSTLk6R0qtAdt7DJyRIP5N7B6fZXWEymt3Qv3YhdknMPYn5e89u/5zM1rfjX/7LSrQxaizc96TA8JJmYTPjCF0Pie7haVtxov3wXYQz86m+0OXHCpr/ford3/YF4Hvytny7yXR/O8Pt/GPArv9am3Tas0/R4FSoVwXve5fHhD2X4rg9nKBTEuuXqm0VsQqajSxzKPLL8mSUchpyDTEeXSNjciRYIHJmlxxlefohqFNPxRdRN1qFMwtXwdDr7FRDqNovd0HVb1YhM0H04pqfUkWmuf9A5wF7vBEsn2hYuRzNPUotnCczm3bEFgmPZNzHsHCIj88DK7L6pqjTUPIvJNC1VJTYRxqRu3a5II0kFq4eC1UPJ6mcyukho1losrIcee4hR9xhDzsHl2W66bc18PM5iMk1b1whUu5ueETjS7aaaivQ4w1TsIRpqgZktOhQ31SItVVve/yV4Ms8DuXfQZ48g2HpkcDM4nHkcKSQWNhrFRHSehXiCllrsEsQ0opSVBcr2AAe8U+RlifRVaJGVBQ5mTjEWvHLLYz0VXcSVGYpWDzEh89E4dTVHW9XoqGaXKNGNYllkRZ5R7xgDzv5VqaT93kNodPeYbXyD+rpJoNvMx1dXfS6EpMce5oHcO8iKFTPAC/5ztNTiLaOPBr3p9KdBs5BMcF2r1aVRcDjzGIPOfop276bWtRUMu4cZdY9R6kaEAULTppbMMh6epaWqKKMAA0KQEXn6nD30OqP02aNIk+qZ9nkPULB6ON356oYTo/XQY49QtPpxhYfBsJBMshBPshBfwzetbpWuwBI2ZXuAQ5lHyMsKjkgjp57IMeIdRQrrjhy/d0nOPQhjYHZW8ew3Iv7rL7b5sT+fW7eRpGUJhoYs/sZPFpiYUFy5omh3bkMEKCCfEzz8sEM2K3Bd8FyB5wmy2fRv1007pGc8QTYjcK//LCM4eMDa8MXuuvBnfzTHu9/l0m4bohCC0OAHhjA0RJEhisD3NWEIUWQII0MYQBBoGk3D7Jzm2rXbF7I2m4ZP/XGAlPBDH88td7leOQbpPzIZOHbM5kd/JMtb3uzwyumYqWlFdVHTaBiSBLIZQTYnKBVTH5wjR2z2jFoMDVnLgnEhIAwNizXN15+O+OAHPIobNAq9ERpFoNu01CJ5q4ItHAQWfc5eZuOrYDZHcmzh0msNI7FBiK7AL2EhnujqOtaHQdNWDS4HL6JMQqDbRMYn1D7KxGuEmUqr5XSLJWz6nD14ModAkJF5claJREWbSlst5fUHnQO4Movopk0SE3E1fJWGmsfXTSIdkJgIvRShMRARdKMoszjCxRGZbsPFW88C87JMjz2SNsLs6iaUSWirGlPRRRaTaSKTblMZhUEBgkgF+KJFW9WoqzlccYHYBHR08+YbXOeoLx3TVb12TcJWIne3gyVtSWgCroavMh9fI9Rtku65XhpUR6W6q0j7nMy+DU/mkMJCGkm/s4+J8NwtSU6gW8xEl+moRkoYdYfYhCgTkdyYAjIx2iRcC88Qm5A+ew89zjCQRpHSxpqFbipyY6RJqNWRGWHkutdFKqRP7ihysP4YDKxDi7ZClraCXnuEXnuEotW7nApLJyoTzHXTt6uiwgY6RqHimJZapGnPczDzKBKJLVyKVi/7vJNcDl7c9HhT0bfECBgLTrOYTHUjYP6q45uYmMVkBu0/zx7vOH32XhyZXpMVa5C2VdslOW9EhCFMTSn+6FM+b3mTy7GjNqXSjRVX6Uv5icddPviBDJ/5k4ALF5MtR3QsK+2V9b3fkyHjSTwPXCclMtkMXZIjcD3IeDIlOS44rsBzU00LbBy9sCzBgw84HD9mE8cpiQlCQxCkZCaO0s9WSE+X6HR/Mz2tefHl6I5Ijtbw0ssxPRXJgw84PPRgmhu/EUKkTsXHC4LDh2z277eYmU11T82mIUkMmUxK/kpFyZEjNnv3WLju6v1XyjA1nRLVZ56NeOc7XIpbcI9XJNTVHJ7MYQsHiaBk9eEIb9NiPEs4VOyhZY2HMgmh7tDW9RVysOH2Y+bjcWITktyiK7NBE5uQWIXMxmMU7T5cssuaj4ws0NGNTZEcR3j0OqNkZTHVhWBQJCwkk8zGY3R0nWQDkqe64ffQpFqjVFC5uQdyyeqnbPWTkfnlZVpqkYV4ktn4ygakZSmlAwkRgWpvaZv3CqSQhNqnqRaYjcZo6xrrEStFgtItYh3QdKtIYeOJLJAKax2RQdK6qU5GkdBQVXzdxNetWx4rRUJb11iIJ7CFS8UZAsASFq5I9R63Ijnfjuixhyl09WTGGBIiqvEk8/E4DTW/7jIaha9b3Xs+pM/ZS8nqW9bqDDj7GO8Szs1c40vpsbaqMRdfpakWSdYVqKfauWoyTcHqSa8lmXZlz8g8GZGm87ZSVXc9dknOPYwghGeejfm93/f5wR/I8tCDDo6ztvWD6xr+8k/kaTQ0izXN9PTWhMi2DYODkr/04zvbw8W2BbadduUu3/rny7hyJcHzBJ/+zJ3Vd09MKp56OqRUFvz9v1skm0mF3OshbakBpx5yOfXQ5rexlHNuNg3fej7m5/9LG60NYWCW0yqbXBPVeIKKNYgncggh09Jpq0hkgk2FjVPCMLIcJI90QFMtbLoSpqMbmxzrCubjcfZ5D4CsLIfKlrQIm4Ersww5h5bHbIwhMj6XghdpqeqWxI+bJxuCXmd0WeiNAU3CXHyVqejilqIy9xvBgXTM6YtojLa+dTWcImE+uUZG5lMh6zKZzdPRDaJbRHPiTV6/16OhFsiqIsboNJUowJEenshvaT3fDpDIrlZqpVIvPb/XqKu5Wy6fmJiWqjEZnSeXKeEgsYVDyRogb5VpJtVNpcyXJijT0SWaamHDyckSNAkNNU9WFSnZKcmRwkrPs8yR6NsjObtmgPcBfv6/tPnEb/u88OL6F4kQgsEByV/7KwX++l8rbKjh2QVcGVP84i+3+b/+7xYL1Z2pSgsC+P/9pxb/179r8tLLMefOKzrBrbU9N2IuHse/wW+m39m3piplPSzrU2TP8mcd3WAmvrK1QWwRioTQ+N1QeApHuFib0JMs+3hcpyHwdYPZaIymmr/jUtKNkBUFilbvsv4HYC6+RjWZui2idz+iqRaYjtbvDL4e6sn8GrLsyFQwvRPQKGIdLkfpACwsHLn7sLseAknZGiQri1gsHRvDeHiWQG9eF6dImIwudMvHTXfdMOwexb2Fl9Oq9ZiYiegsySZSxpBqqG4Uk0th35Er9W4k5z6AMfC7v+8zN6/oqZQ4cmSti64Qgr17LD7wfg+/U+Rf/B/N+6X7wl1HGMIv/2qb6RnFxz6a4V3v9Mjn7pzvR1GaovrZf9bgW9+Kme02hIwiw/i4YqBf0tuzefGoRlFPZvG61VUAvfYo9WSOGjM3XbZg9dBjDy1fJ8ok+LrJYnLz5bYD11dwAF0R760jWFlZIG9VVl3bHd1kPr614drtQ1B2BlLd03XbnY/H8dXmXwr3M3zV7KYpNj9Tjk2INqvTUhb2qiqZ7YahGyntnqZuEfaObe9+hERStgdSH6ul0nhgMZnZ0vmFlKA0VRVbOGREHhCUrf5NE9lER7RVvVuFtrmXUWKSNREb2Y0k3S52Sc59gmpV88KLMb/xmx1++m8WyOdZY2znuoLRkZTofPVrIc+/GNNu7zKdG2EMLC4avv71iHbbcOFCwlvfknrbuO7GKayN4PuGq1cTzpxLeOrrIc8+G1GtaqLrAm+Tk4ojh216ezZez3poqip5VVkmOcvGfCK3alZ7I3KyRNHqX/53RzU2rYu5EUvOvxlZxBUelnBSnZCwuuZtqSZLitTjpWT1df1AlpbfHFyZWeX4azDEOtxy6epWIKCr/7GXtwlpeH8rjsX3M0LT6e7r5p8V2qwVzEqxdS8fR3h4IosjMziiawgobCRLfkGya2ApyFvl5cqbFAKx6avr2wWCrCyueOF0vYViE9yWA3mgWySmB0ijnFlZ3DzJISY07S2lcFMXrxtE4nd4nndJzhbg+4bpacULL67/oqjXNdMzOxNSVwomJhS/83s+b3+bS6VHYm8waYpj2Lff4vRrMe1NWOhoDe2O2XC/Xm9MTWkmp7a/f8XVa4qZWcUrp2MWqqmouK/PIp9LhcWZDNiOQMquvMSkxyqOIU5SYXSrZZiaUrzwYszTz4R89vMhyTqR2VdOxxQKklpt9fUxM6MZH99439q6RlvX0EYhujOa1LitTJisT3Isur+RK2mtlq7SvkW57Y2wcbClhysyZGWBotVPVhZwpLf8QrKFjcDqGptZyzPI23ko2birXmJLgsloA9PC7YHAEznkUkSg65wcms62V9jcq4h1iNpkxd4K1ruONnfOJRaWcHC7btY5WV5useCKLLZMvZeW3I9TV16JEGLlPO1iXQiRmlmuRHFMtyLw9q7lSPvLy6Y2DZmuOaW8ZfpYm4RIb86+YSexS3K2gAsXFRcudvjFX97Jh+7GiOJUPPtn/sLWeooA6Vv6xmdQVyQSRfDaawkf/uj6qvuVdXTXs1VxyY3bTuPOW1vHDiEM4coVxb//Dy1+6ZfbPP64y6kHbR56KK0GGxqyyOVSEbIx0G7D7Jxmairh4uX/p703D47rOg89f+euvaOxrwS4S6IoUqtlxrHsshQt9sRy5MyzHdc8ZSl77Mg1WRxX7NTETvLH2OVMpSpJeZw3lSnLMy/j9UXx2LEcy7ZEWTJFrXziInEnABI7Go3e73bO/HEbTYIECYA7wPurQhXQ93bf851z0ee73+rz4osOL+32KBTkBbuYf+ObFb7xzeXfN2Hfnjw1VSIuwjohKb2ZrN5Jzh9d8D1pvZmknmlkVgDk/QmKwfSyrp01Oum01tJidJOoxwEtqTCeqlczXeZTvSZ0jDMsQBKfQPmLZoJdKmGK/umx+so7XT/kBiBoyHt1iGtpWoxu1sRuJqU1N8oELIo6bWmLmt4ujKjXbmoE7iOX7aY6k7BMw1luSREWDlzMKhxWqL72xdtWtJKT7bBINJnohmB2wqF7U4LJoRr5MQcpobU3Rnt/jGrRZ2KwRrXo09YXw07q4YY149G7OcHQgRLlWZ9FilyuWMz2JtZ89jHsNW2ga6hA4s+WOfLE15esbMTWd5G+cwOZ+7Zy4ov/lWC2suh79UyCxOYesvffTmx9N3rcQjoetRMTjPwf/46fL15X+0ixpHjxVw67XnLQtNBtNa+ejoDm+28nde/N1IanGP2/n8WvXfkmqVVZZNwdZK19GxAqOb7pcsLZu6AJut3qbyglEAYch2m7S4sxMbHYGL+bLmtdo4HfHBKJJ2vUVImqLOGrsFeUVD4BAVL59FibSOrZZXd31utP+HMEyj8n7uNKEMp4+sk3LJR4Hd2YV5iA4IoFdZ/Nevt22s01pI3Ws+J3FIEK6rVzynjKJcDDl+EmK5VPQm+iy1p/RaoDryZ0zDPuZy7aigNhXODZ1Z/n3ImLMdfX7lqzopWcDXdnSGUtKgWfd3+ki/HjVRIZk2yHRTHncfcHOhg/XqGl22bTPU089/+Osu19rdTKAUKD/i0pxo5W0E2N8eMVJgYvrUfGxaKn41hdzSRvHcDub0eLWyAVsubi50qU9hyjNjxJULg4C5JfqDDxrZ0YLSmSW9cSW9+F3pRYVo8/oWkIw0CzLYSmLem96bs3krpjI3ZPK4UXD6A8HzQNWa4RlKrX5T4SBJyhtJw1QAFWTcPwDZxAx/XgajwA12SFnDfKWvs2FArtjFYPOX9s3jg1NLJ6Rz1QMGTaH8Fbotk4rqVpNXppN/vDLsFCQ6oAR1YZdY9RDHJ1E7ZX3xyDRqDxXFPFFqOHuJZBX+bDtiJseDmHENpVeWIPixvWrwn1zTeyFFxOBBqd5lo6rH4SWrbeQiAsD5DzRikEU5SD2dB1RlgUcK61xNyd1aK66TAHoqVZBIk/Lw5msaagF0LUG/HO//xgydbV6+ErfkUrOc2dNpqukRup0bk2wamDZeJpHTseJ9VsIoDitIduaGTaLLIdFh0DcYbfKhF4io7+OIN7i2RaLcp575ooOUZLisQta4hv7CW+oQsxF2hTd+lYnVncsRncydmLVnKU41HeP4gWM9GTMYyWVKjkLAO/WKF2Yhzx0ttIx1vS3Rtb24nd14Y3U6L4yiGk44XyKRUqPCsNBe7INKU9R/FypeW77S4SX7lU5CyOqmARRxMaprBoMjqY8cfPSPEUja7hhjAbm0PeH1tiEK0goaVpN9cQ05IIIQhUgCNLTHhDjHsnKAf5ugn6/LJLAhDLn5vwy/O01qihX9FsnTkCdeamEDZNjAJaLy+a0OkwB0hoTZiahVKhxWzcO0HOG6FYLxB4oSDV5dbWuREJY3BOf7eKetuEi0UX+jnNQ6U617pzPbOilRyhCYrTLif2FpkZdzh1qEK206Kl26a5O8ahl/OcfLtMteiTyBh0ro1jmIKpkzWKOY/N72ji5MEya25JYdrXIKBNCBK39NPy0F3E1nXizxSZ/eV+vFwRoWmhu+fmPtAu/YlW+QFBKSCoOBelYHjjebzxPIWX3l7S+UIXGC1phK5R3nuCylvDy77m9Uh57wnKe09c1WsqJK6qUfCnaDF7GqXWW4wuBtl35vZM1uhAF1YjziHAZ8YfW5JfXkcnoc/v2OypGvlgkiPV1y/Y7+pMLjYbIlDBPB++Xu96rWEsu8HncggrOte/tAUYKow5EGrlVS++Hgmz8yzazf7GhisJqMgix6p7cFV1ifN85bp1ryY86cx78DExL1ppN4TdeNAI46ZCt+L14IZaKitayYEwLEQGCinDBUCAlAq/7BNLGmi6QDc17LiGU5EoVa/jEagLBopecTSB2Zym63cfAKD48kFGn/wZsnjto9EvB1oqgWab4UZbiZ7ALhWpAsa8YzQZYU0XHZNmoxtLxHBUFYVEEzrt9e7ZEG7eYRfu6pJiLpJ6MwmtaV6NjRl/nDH32JIVHBBhGvBFfLWE/bHOTAcU9U7RTRSWGTS9dBSVoHBW7E+YruwrFzeyHlwypojRpHfMsyh4ymGodmBesbkLEzYDNbEid9UFUEpSDHK0qT4QJgINS4tjCrue9r+8TS+pZeZlPM6VoVhJyv+KV3IWopjzOPp6gd/4/T7W3Z7GMAQKGNpf5O73ty36/quBFrdpum8reipO/ud7mH1hP7K0yBeqEGgxi6Z330ri5j7M9ib0VAyh6XhTs5T2HqdyYJjqoVOXZYzCMuj5n99PbH0XWqweEKoURz/3fyHL57o/Elv6Sd+zmeSWfvRMArM5BYZG50ffS9sH3wmAOzpDZf8gk//txTPmwsLqaqblkbuJ9XcgYibKl7inpsj9x+s4QxMEZ81N031bSd+1ifL+QaqHTpG+9ybim3sx2zLg+RRfP0rxtcNUD54CAV3/+QGUEPjTBdzRHM0P34XZmkH5Af5MifL+QXI/eQ3lnuuKy/zaLTT9+q3E1nU2Xiu+fIixbzxz3nlLbVtHfFMPsfVdmK0ZhK4RlGu4ozkKuw9SfPXwstxdkoAp7yTrYtsxlR3GqyiNNrOPSW8YR1Ub1p05BcNTYS+ppX4hhU0t5xfFc2VlyQHLAGm9JWzhcBGWx5os1dPcQ+bcby1m7xVTchSKQjDVSKGe6z3VavThyCpuECk5l0rY+ygGnM6KkvUg46VGbYTNONMXdV8tzFxjyvnXF2Jp8YbXKxLJbDDRsLSE/aMEzUYX0/7Ioi03ziRsltvSWDuAgj9FcAnZWteCFa3kHNqdx61J3Krk1R9PNtxQQsDspMveZ3NIGfYM8h2JW5O88cw0k4M13FrAa09PMjPm4HuSavHqmt80Uye+sQfleDgnp3BOTi8t00lA4qY+hK7hTc7ijs4gdIG9pp30XZswMgm8yVn8mUuv1qoCSXHPUdyxHHZfG/ZAJ7G1HWHg8QIEhQq1wXGUF6CnYqTu3ICesKkNTlA7MQ4K/NkSzsnTqepaMkZ8QzfZ92zF7MjijudRvg+6hpFJ0PL+u5l94QDVQ6fwc6d7COmJGFZXM8rzsfva6vORx58qoCVtZM2dp0QY2SRGexPU3YL+TAk/V0SP22ipOE3v2oJ7aprKoVPnxD45IzmKrx3BOTUVBm73t2M0X6DPl1RYva2YnVlkxaE6M4rQBEZLCntNO81NSWqDE/i5Ispb+n3nKZein8M0LWIivP5cXI5EktKyjR5RUgW4qsasP7HMp66zN5HlGLoFLUYPprAvyjzuyhpVWcKRFSwRr9f8SNKidzEiDl0xq0pFFqipCjGVxqzPX7PRxWwwedEFFCMWZzn3SFpvCTtqX0YzThiLNR9TWCu6Fo9CUg5mqclyvY5V6KpqNXvDpIElKjkaGlmjE0uLnXZXoZgJll85+VqzopWcwX2nN/IDvzy3sdy+53NohgClkPW95OBL+cbxt14M31Ocvvq5/MLQsXqaCUo1vJlSmG20GEqhAol0PdzBHN5UEb9QQQhoevetpLavQzMNCq8cvixKDoGksOtt9LhFcutaMppGbG3HeU/3pgoEVYfqwVPoyRh2byu0ZSjvH2L2l/vC8ftBGLhcx+rMktzST/odN1F8+SClN47iF6totkniljVk37edoFCtZ5rNb5QoLAO7vx2/UKG8fxD35DRBqYrRkkZWHPyzlBWzJY0ww3/Y3E9fx8+XMZuTxDb00PLIXSS3rcMdnzlXyRmawB2ZRk/YaLaF2Zq54LQpKVGejz9VwB3L44zNgID4xm5SW9eSvnMDuZ5WZNkh8JbjnlQUgkkSepqYFio5GaMNU7NBQtpoJYxbEHjSpSZLy+q9dHbgL4Tposa8KrMLI9CwRIzWupJzMQT41FSZYpCj1Qjjgixhk9ZbyRphXaBAeRehtF34fE85lIM8cS2NqYdKTlLP0qS3UZNFZv2pi4hBWMHmgMuMUvKcNGYhNEwRYynzFLq72knrLZdvTNAIoFeohvIU01KhW20FL52rqpSCmbCwoh5a4LNGJ0l96Izq1ucnjKGK0W6uabQ7maucPOtPrDilf0UrOUtB+tfp3aoJ9EwCd3Rm3qa/GMrxGP0vT5/zunNqGj2TwO5tI76ui+rbw5fnH9UPCIpVgmIFWbnwP4esuaEFBdDScaTjIv0Av1DCHVnY3ZC6fT2p7esIilVG/8+nka7fGHfxlUPEBjpIbh0ApSjvOTbvvZplYPa1cfwLT+KcnGpc+3xoMQvn1BQT39lJ5cDpQOjq8XGStw2Q2Ny7cGC1VCjXx/d8gnIVtVhhHKnI/fjVc16uHRvFGZ4idecGYuu7cE5NL025PYNpf5SM0U6T6gARPuHaIoGpWWT10wpoWebJn5F5tRRcWcVTzrxu6XEtTUpvZuY8hQfnsESMDmstrWZv6PJZVsf1+WMYcY/QYnSD0hAijCm4OfFO9pWfpxjk6k+Si8kVblu6sAiWEEMw6Q1jCpuk1lTvqq3TbW0kpqU4ol6lHMwuK3ZEE9qK2wyuFBK/EWs1d1/oGGSNDqa9kwQXiBMRCDrMftrMPlJ6c6No4KWXFlA4c81vFQ0DZovZQ94fp8rK7ls27h1rVCoXIowx67I2INAY845zof8fS8RoMtros29GQ69XHveYDSYpBjNXrabS5WLVKznXL4LL+bTn54oE9TgZPRVb5OzrB3tNO3omQXnviXkKDgAKiq8dpfk37sDqasZsb8KbPN3HSLo+zvAkzsj0ogoOgHJ9vKkClbfmN3xUno87lg9T+M0rl7Isyw5+voR0Q3eeMJZvFi8FOYp+jma9i5ge1sLJ6G3owqDZ6G6cV/CnmPKWF5tVkQXKfh7XqmERQwhBc91k7UuHMe/4OV9wMZGk1eyjzeyjw+xHIJAE9fyq5c+lq2qMu8dpN9bQavaEbisEMZHijtSD5P0J8v44eX+CUjATBkQrhRAaBhZxPd1oaZE2WjGFzf7KLxet9pzzR9GFga3FaTPXAGFfpXazn2azmzHnGDP+GBVZwJFlfOWG6owwwv5LWpKM3krGaMMScTzlsKe8cMzWjYanXArBdOiG1OLM9ULrt2+hEhSY9k5SVfOVCgOLpN5Ej7WJHntjvaO2QhKgXaZty8etN6C0GnWl2o0+VCxgwh1i0hvCY/6DnUDDFjEkikD5ywjIv7pMeSNYIoEmDNrq2ZId5gAZvZU2s49h522KwfQ8C2VMJGkxe2kzemkz+xpuKklAyc/xduWlFafgQKTkXDukRJZrGOkEmrWMZdAFqW3riG3owWxJo6fjaLaJ0DViaztDq9BKyT7QNTTbBCHCwOIF9L2gWIEgQBg6WuIsN4hU+MUKaolpcrLmIqvuubFPCpCynp56eSYvtqGLWH8Hdn87ZksmDNzWNfRUHM3QLukyFZknH4zTrW8AoMXsQuN0S4SqLFGWhWUFDENouC/JPKPuUQbsW4HQrRDX0qyLbafDWosra410blPEiGtJLC2OJWIINCb9IXzlkdDSZI3OC13uvEgCTjh7AUXW6CSup4EwELJJbyOhZegw+/HPcF3VW4SiCSNMPSdsIuqo6hLjOBSz/iSDSmLWXWRzRdRMZdFh9dNsdjaqMIdf9vVkeaGhozdiICSS0hLLYBtYZIxWdGE26gLNlc3X0DCFTULLNGTQhE5cS7MhdjsB4VgkMqw4XW+B4SmHmixRk0toXHeVCJTPKfcQffbN2CIOAjRlMBDbSqe1FqduRQSFISwsEcPS4sS0JDoms8EkNVlCoegy11+2cU24JzAwsa25fk9hkG5Sz9Jjb6pbNgOE0OoWunBdJr0hZvwxZoPJ8362joGlJUjo6XqH9vDeDD8nbG7bYnRha/HGe2wtQYe1lrierq+nT6AkiqCeuu1TCQo4srqIgqXI+SMEyscUFhm9DU1o2FqCNrOPpJ7FV079GmGBUVNYWFoMU8ROx/YRMOkNMe6eoLbM75PrhUjJuUaoQOJNzRIb6ERPxRG2iVrEbaUlbGL97WTedeu8onpBPXhVev7KUXCAej5/+Pt5On+fDnJWCygnKgzcXaIxTPkByr/w5nM5pi+2oYv0PZuxOrIITUMFAUH5DEVMu7TwyYosUgym6SL8sk9oTY3NFqDkz1CTpYuqLVOTJaa9kzQbnaT0FjQRNgVN6c3E9TSecurNQsN2CKawQyVVhebsMfcYujARhiDLxSk5EHZfn/AG8ZRLVnWS0rMItLA5KDaQXvQzlFL1Tu1Lu0FcVWM2mGTUPUZgBvWu1zE0oRETSWIkF/8QwgBqlvDEO5fe22GtxRR2vfO2fnojrP8eboJ1JQcNS4vRYQ40Kk5LJeutD0KFpyZL5LyR60rJkUgmvWHSegsZo63RRDKlZ4lrKQLlN1KTjUaX+zA2phhMM+UNU5UlLC1+WZWc2WCKeJDB9hOkjRZAhEo7cZJaNqy+rGS9OajeUHzLMk8xuHAPQUNYpPVmOsyBRvPaOVfm3GeFhTutee/JGGEj3NNreuYaSyYZRDFFVV54v3BkhVkmGHWPgiVIaBkMYWJrCWwtgUSiVFB3IWrzSkeE1ahr5P0xJr0h8v74iqqNcyaRknONUH5A7cQEyVsHQldMWwb31IVN6mZrmux7t9H067cy8x+vUXlrGOfkVGjNCBS9nw7TvVcMUoWWFSkxMokwPfQsRcZoSiAMHekGi8YELcZVic4Sguy7t5K+ZzN+qcrs8/uo7BvEL1RQfkBsXSfpOzde0iWqQZGCmEaqoN7iIXRPzlk18t441eDinrpcVWPGH+OUe5h+ewu2iDe6QOuEFoZwvw0DNgMCpPSpyCIjzmHG3GOk9BaSWvaSZFRIxrzjlIJZaqpMj9hU74Cs1+0n2oIWmjPbAITtKCrLaPCp8JTDoLMPTzm0m/1k9NDlFc7BXJHDs697uqWFVBJP1ZbUfVkgiGkJesyNYfD4Ephzy2WM85fCKAV5XFlj2h9Z0mdeHRSzQbjhBgS0GN2NDvZzG/5cwPrcXIaNUj1G3aOMeycIlHfR1sHzUZVFprxhFBJTi2EKq97KYM7hapyx3OoMy9ni/b5MYdOkt9Nrb17yeHRhkBBp0M6vxLuqSlWWF40bUihqssyQsx+ATnMtCT1TtyrNyXhavrn/GUUYKD7rT3K89iZlObui48siJecaIasuszv3kr3/djLv2oJmG4z/12cvmFKsZxIktg5QOzpC7qevz1OKYms70GIrr3GdMzyJ1d1MYks/mm3MbxkhIHnHetDC9HBvaumZQtcMAcnb1hKUqpRePUzu319pHDJa0pgt6Us2FwX4VGWJnD9Km9HL2S3ep/yTy8qqWujzh50DTHsnaTV6aDa6wqdvkQwrKSPxpYujKuT8UWa8sTDmQoWWg0pQuGym7ZLMUarlGHIO0GH2k64rUHNWFkOYQJj9EeBRlSWqskglKFAIppj0hy+qyeeIe5hR9xgxLUmr2U2zHrowLBHD0KxGjMicBcKRFYoyR8GfpBBMUwzOzfaMgDHvGNP+CCk9S7e1gazeia0l6oUCRWMuyzLPrD/JhDtEVRUBhUBb1HpyMRSDHKUgz7h7gl5rM01GG3EtjaXF0TGRBGH8jXKpyQpFOcO0f4pKsAK+jwiVl0FnHyPuEdJ6My1GNy1GDzEtjamZaGj4ysdVVYpBjmIwTd6fYMYfu9ZDvyxESs41QvkBzqlpcj/aTWbHLTS9Zxux9d0UXzmEnw83Cz1hY/W0UnzlELXBCWTNwx2dIbG5l9T29dSySaTjY3Vmyb5vO3ZfG0H1XGuH0AXCttDiFkYm0WiyaXVmwzYPrh+6uvyznkyEQIubaLaFkU2hJcMnLbMjW7eu+CjHW9QFdCEKrxwCIWj78Lvo+5PforD7IP5sBS1mkrptLYnNfeSfe3PJ7SSuBMI00GwDLWahpxIIXUeLWWEdnKqLqoVZZEgFKqyrE9/QTXxTL6k7N+LlimGq/K39JG5eg6y4S23+fl6qssi+8vML9qWpyfJlCRCsyiIj9adoDR3T1AgkqHrtKVUPBA1U6DZpoPuM+YeYLAyiVFh5OVDzTeutbaFrrVyW1M4weggBhgHZZo38jMSrvy1QHhPuIFPiZBh7gwbizPYRoR3LMBT96zWyaaiccpEjC9+bTVkNy4Ji8fT1NQ3iCcG2O0yGBwNyU5JqpcioU2VCDJ62HjWuW7ednTEXc26Fpcy/JCDvT/Cr4lOXtf6LVJKA8z95H6q+wrHaG8wpx3MWk+XgqCr7Ky/wdvWlxmtePcZjMTzlMOtPUgpm0DAQYk76sBCjqlfmnbu3hCHQEzGQilqpxC8L363LGSx73OdD1d18J5y9aI5+1v01f50xwF7bjGVkkZMCd2phhb4sZznuvMlJ9+BFjOj8SSm+cue1P7ngp2g6RjxD4JTxA5e8P0EhmGbYebvu4j7drTz8nz5tqVouhWCaFwvfZ+6+kiogWKbL3FcuU94wz89+p/FaqGBe/DpHSs41RPkBhZcPIR2f+MZurK5m0u/YjPJlfcMM6+KEJyv8XJHZF/djZJOk7txA4tZ+lBegXI/q28Mox0OzzHnXMNszxNZ1kb5rU1ibp7cFq70JPW7T8ZH3IH0fWXFxx2fmWR20ZIzYmjay792GMHWMljRWVzMA7Y/9WhjE6/oEhSoT33ruoufAny5S3jeIloyRuKmXph23NNJENctg9pf7Kb56GGfo/AF+VxK7v53kln5i68PmqbH1XejpOLG1HXR87D0oL3SjFV85RHnfIChF4VcHEEJgNCdp/o07kK6Hcn2CQiU8B5ZW+PEChP2srmwnd4VCCo9sa8A9v2bjOAFK0ki5tWyBrmkMnZCcGhaUior3PRQnqLdMqVVddv1yYRfjwLrwq+fksE+tembncbAsQSarUSwqPO+0gAF+YxMVAjbdZHByKKBSPn2OHkCgGSSbDDZkBCOjC091d69OU1Zw7Mjp68+dZ9saG2/SOBh4VCoBAWcpAZdxziXBVQ/o9FQN75JlUJdw/80phAHgLPoZmmGiJyxUIPFLNaqyeOE3XCRhc0v3zBcWJhBYehNmNkEiZZ5XyQldbu6yXD2J1j6MWAolfYqjR5Yx+jpCI97cRS0/gZI+mmGRbO2lkjuFVy0igzBY3Z9Tgi/zvbzcZIeFCC3Vl2+NIyXnGuMMTiAdD3d8huTWAezeVoRlhkX/qk5YvXi2jPLC5prlPcewe9uw17SFqeJS4Y3NUHw1LABoNKfwcsXGzStsE6M5hd3fHr6gwJ2YhYlZzM4swILp18LQ0NMJ7P6OhjfEz5fx82WMlrq/OJBhwb2FHjp8iTM8RVB2LliYUDoeteFJgoqD0DXsvja0elsHZ3SG2ef34gxPntPWwZspUT0+TlCqLN4eoW5dkX6AO36uG0F5Ps6p6UbrhTPRkzHMjiz2mnD+ZNUNqzcDVmeo9MmaS+WMVhqlvSfQU3HiG7sxO7LoqRje2Ay1wQm8iTzKD/CmCyj3+u/EnkwJunp0btlqcWrYAyVIpASZJkG5pNCEwDAFdkwwcjLg5q0mM9MBTg2qlXBdmlu0huJjWQLfV3T36uiGQGhg2QGFvKRaVRiGoKtXpymrMT4ahJYdEzo66wGfZYVTU+g63HWvja67TIwHVMuKSiW8hu+BpkNXl44IDS8kkoJ0RkMIyM9I2js1Ort0PA9sO2A2L6lVFUGgcBzFwHqD4UEfIUA3Tl+/VlWUShLXgZZWDd9XKAWmGcrl1BR2TJBMnb6W5ykMXdCU1dD08DMqFUWtep3W8FouAszmJH6xhvIDhKZhNifw8lWMlB1mFgrwcuWwfELCwkjWA9YrDkHVDR/shMBuD9250guQNY+g6mK3p9FTNkHZDRuopuNopt4oweCXagRVDzMTR7PDYGVvtoryw2vpdQu0P1shcPyFvy80gZGKhQ9vnkSzdIyUjZuvYDYl0Aw9VPqrHn7JQXoBwtSxW5YWjL5UEi292OkWfLdKcfQIhp1AaEaYgCE0AqeCDDw000Y363JVS8jAByEw7Djprg2oIMB3SuhmHDvdivQdNMMicGsEXg3pu5jxTJgYISWBW0EGAYadQNND12HgOwROlRVdGREQSl2q4fzqUygUaGpqutbDiIhY9dx2h8na9QalkmLnMzWkhK3bTX7tPTb/+q0qpaLk/R+Ks2Wbxb49LsWi5PXdLjO509aZ/+GxOKViuKl39ejkc5LOHp1sViOZFti24FfPOxx+y0M3BI88GufUcMCuX9YozkraOnQe/2QK31fsfcNl8LiPYQr+7H9t4r+/7nL4bY+jh33e2htaWzq7NfrXGmzYbPLd/6dMLAZbb7e499djGAY899Ma3b06PX06yZSGZQteeK7G0UM+M9MBGzabbLvT4rXdDoPHfZpbNT76n1PoGhw74vPGqw7DJwI++NtxZvMK11F0dGnMzihOHPdZs1bnjrtsdAOe/WmN8ZGApqzGex+MYccERw/5vL3f5cjB61/JXQrC0Oh8ZBszrxzDzZXR4xadj2xj8mcHaLqzn+TaNjTTYOwne6mdmiF9czfZOwYQukZh/ymKB0fxcmW0mEnfR+5FGBrORIHKiSmKb43S89hdoQVnaJri26O0/vpmrNYURlMclGJ2zxDloxO0vHMD8b4WlFJM//IwzmSBzG19NG1bgwokUzvfpjo806gndiZ6yqb57nWUDo3hTpewO5tovnstE8/sp/19t2A2J5F+QOXYJLndR7HbM8R7m7G7Moz/+5uXbS5773wEI5bCKeYYP/Ac2b5bMRNNGLEEmm4xe+ptaoVJUu0DJFr7AEXu2Bs4xWmEbhDPdtN39wcojBykOjNK4Dkkmrsx7CRCN3Ars5Qnh6jmRmm76Z0YdpzAqVIYOYRbnqGp/1bsVAsCKOdOUTh1EOlfn7WAAGZnZ8lkLlyBPrLkREREnJfmFo1Mk8aeV50F3T6uG1pPYnFBb7/Oj59yqVTmn9jWodPVA54HlgU9fTq1qmJ8LODkyz5v7fP45P+SplyS7PvvHs/+R5V3vTeGZQlMS5DOCFJpwZP/pczIyYBqRWEYcPSwzw//W4UTx3yCC+gLO+6L0d6pMzbiMzYi+eD/mCA/Izk15PPGqx4H97v8p/8pRTqj8ex/zM+K6uzSeeSDCX74/QpTkwHb7rT44G8n+dr/XqC9U6ejK7QcmRb0rhH0DRj4vmLklM/4qORD/ynBsz+tUSpKurp1/re/zOMHhG6/VYKSiurgNOktvQTFGn7FIai5eIUK+ZePUz0xTXyglZZ71lHpakJoguKhMWZeOhq6pqXCbE6Q3NRJbTRPbvdR/GJtLlCE3K4jpG7uxsjEQQis1hS1kRmqrxwDBb2/fTeJgTaQiurJGfyyQ89v383oU69jJG2k4zP6/72BO106r9VXM3Ss1hRazERoGnrCItaTRTN17M4mCvtOMrP7WGO8VwLdDjNM/VqJwK2S6liPlczilvOUxo/hVYv03PEQXrVAeWqYyYO/wq+V6b3r/Uwe3EUtP051ZoRafoypQy/hVYsYsTTxbBeFsaPUZsawm9ppWXc7teZuVOBSzeURmk7Hre9m5LWnsRJZ3PIsU4dfZsGyHSuQSMmJiIg4L5VSaIHp7NY4Ocw5lmvLFmgaeI5iZlrS0aUzPRm6q+bwXIWuh+cpJZir3eg4ivyMpFKZO17vMydP54vVaoqRkwH/9t0Kd7/TZvSUz+Axn5NDAUqG7qUguPB3cTwh0HUoFUN30s6f1Wht11ASqpXQTaYbYcDz2eh6+P5yWeLUwovY9mm5TCt0uc3JFY9DuQK1+rWee6bGyHBAIinI5yW+D0usXblykIrSsQm6bulG62vGnSox+8YQmS29GJkYQteQVQ9h6OhxM3RDlZ3T8YaA0DX0mIVfqoUZpmcoEkrK+QsswC85+GUHTdfDIpsJC79YQzoeQcVheudBaqN5/GIVN1em9d2bKR4YoTqcW9CSU78SQtdAFwhdC2uRAX65RlDz5o33ciM0nXTn+rpeIdEtm1TnWpTvEXg1fDd0UwlNQzMsUIrAc5CBj6abp9tcqHpSgJTz5s13ygReDSWDMHHCsvFrZWTgImseMyf2opQi8EJ31mrSwiMlJyIi4rxMTAQkUxo33WLiugrXgc5uHcMUbLnNJJChUvLWPo/B4z4bNxtoGo0Yl2NHfEqlMIYGEcbpZJvDWAoZhNadue9TOwbNrTprNxi0d+p0deuNmBfDFHT36nieYmoiLGKWz0n61xnoumBqUpLPyXoMkcGaAYPOLp3O7tA9ZtuC1jYd34eJsYBUOozR6evXicUFtWqo7DQ1awysM+jsDt87PSk5OeRz860m5ZIi06QxNhpmnhSLinQGUKflmhgPMAxBy9y1RgMcRxFLCDx35T8Vn4+g5IBU6HELIxXDGS+Q6G/F7gwtN95sNYzLyVcaVpKg4uLNVvHyZaTr482USW7sILmhA2+2SlBxCSou8b4W7I4MfskJY3YA6QcoX6LqxUKd8VmMdAyzORH+PVlE6BqaqaPbBrGuJmonZ3BMfcGSdtIPcPMVkuvbMVIxrJYkqq5oKS+Yp+DoSQu7M0OsO4vZmsRqT+PmynAJSpDQdOLN3VTzYwReDc2wyHRvxClMoWQwT2FxS7l6QPEaAt/BLecbLiWlFL5TJt7cjW7FEPXihUqGRQ3nrDNOMYeVbAIEPiW8apimr2RAo5v1KiFSciIiIs7LyMlw095xn008GWZQaRq4juL2eywsC954xeXAXpfCrOK++2NkshqlkiQ3JTl2xGdiLCAINHQNZnJhcLHnKmo1RVBvoFssSHRN0NausWGzSSYr6OnTCQKF64aZVJ4bWpW8sF0Vx474rN9g0tSk89Zel3xOkmnS6OnTWTNgkG3V6Os3GDzuo2mwZsDA80Lr0VyYwbqNJjffKnh7v8vUREBLq8a6jQYtbRpdPTrFgmLPqw6/+eEEng/jowEH3gzfPDEa4PthgPFsTmGagrf2efT0GqHbylNhbJIIrT6lolwN1v/z4kwWQQhkzWsEDaPCLEk9EVppKkM5khs6iK9pQU/YVE5MIR0Pr1ijMpyj9d2b0WwTd7KIM1HAmSgSH2jDak2Fgb5dTWGgshc0sk/9Qo3CgRGa71qL1ZoCGSpTRiaG3Z3F7s4SVD2kFzQUl7NRXkB1OEfnb2zFbs+EFelnyigp8eeuV8dIx4l1Z7G7m9DjFrHuLH6hirwkS4/AsJNMHXwJr1bESmZJtQ80rDUoGVpa3AqliUFiTR2kuzYgA4/y5BC+G7pZlQqo5sdJtK1Bt+L41WLDggMKFfh41SKl8eO0bboHETNDq5BTQSmF9BxkcP3G4FwMUeBxRETEktD10NWy2DfGXCeOy+mWMU2BVAp5lmvKMMK/l9gqCsMIs6DORNOX9vAqNJYVpmAY4K+O2OKLR6tXiF7oZtAFBAtMpi7q/eQuYmsS9WvOfa4W1oJZciyNLhr1rq5/TteIOgdND02ki92s9X5dK9U9FQUeR0REXDaWqkhciZgT7zyFXZarRJyt4MDSrfPL3QdueAUH6orFeTbahRScC72+FNRZ75eq0e5kSVzKta86Fxjrkm/qC6zPKkFb/JSIiIiIiIiIiJVHpORERERERERErEpWpJKzAsOIIiIiIiIiIi4jS9EFVqSSUyxemd4lERERERERESuDpegCKzK7SkrJwYMH2bJlC8PDw4tGV69GCoUCa9asieSP5I/kvwHlh2gOIvlvXPmVUhSLRXp6etC0C9tqVmR2laZp9Pb2ApDJZG64BT6TSP5I/kj+G1d+iOYgkv/GlH+pZWRWpLsqIiIiIiIiImIxIiUnIiIiIiIiYlWyYpUc27b50pe+hD3XLe8GI5I/kj+S/8aVH6I5iOS/seVfKisy8DgiIiIiIiIiYjFWrCUnIiIiIiIiIuJCREpORERERERExKokUnIiIiIiIiIiViWRkhMRERERERGxKlmRSs7XvvY11q5dSywW49577+Xll1++1kO6IvzVX/0VQoh5PzfffHPjeK1W44knnqC1tZVUKsWHP/xhxsfHr+GIL43nn3+e3/zN36SnpwchBP/2b/8277hSii9+8Yt0d3cTj8d54IEHOHz48LxzcrkcH//4x8lkMmSzWf7gD/6AUql0FaW4NBabg9/93d895554+OGH552zUufgy1/+Mvfccw/pdJqOjg4+9KEPcfDgwXnnLOWeHxoa4gMf+ACJRIKOjg4+97nP4fv+1RTloliK/O9973vPWf9PfepT885ZqfIDfP3rX2fbtm2NAnc7duzg6aefbhxfzesPi8u/2tf/SrDilJzvfOc7/Omf/ilf+tKXeP3119m+fTsPPfQQExMT13poV4Rbb72V0dHRxs8LL7zQOPYnf/In/PCHP+R73/seO3fuZGRkhMcee+wajvbSKJfLbN++na997WsLHv/qV7/KP/zDP/BP//RP7N69m2QyyUMPPUStVmuc8/GPf5z9+/fzzDPP8KMf/Yjnn3+eT37yk1dLhEtmsTkAePjhh+fdE9/61rfmHV+pc7Bz506eeOIJXnrpJZ555hk8z+PBBx+kXC43zlnsng+CgA984AO4rsuvfvUrvvnNb/Lkk0/yxS9+8VqItCyWIj/AJz7xiXnr/9WvfrVxbCXLD9DX18dXvvIVXnvtNV599VXe97738eijj7J//35gda8/LC4/rO71vyKoFcY73vEO9cQTTzT+DoJA9fT0qC9/+cvXcFRXhi996Utq+/btCx7L5/PKNE31ve99r/HaW2+9pQC1a9euqzTCKwegnnrqqcbfUkrV1dWl/vZv/7bxWj6fV7Ztq29961tKKaUOHDigAPXKK680znn66aeVEEKdOnXqqo39cnH2HCil1OOPP64effTR875nNc3BxMSEAtTOnTuVUku753/84x8rTdPU2NhY45yvf/3rKpPJKMdxrq4Al8jZ8iul1Hve8x71R3/0R+d9z2qSf47m5mb1z//8zzfc+s8xJ79SN+b6XyorypLjui6vvfYaDzzwQOM1TdN44IEH2LVr1zUc2ZXj8OHD9PT0sH79ej7+8Y8zNDQEwGuvvYbnefPm4uabb6a/v39VzsXx48cZGxubJ29TUxP33ntvQ95du3aRzWa5++67G+c88MADaJrG7t27r/qYrxTPPfccHR0d3HTTTXz6059menq6cWw1zcHs7CwALS0twNLu+V27dnHbbbfR2dnZOOehhx6iUCjMexpeCZwt/xz/8i//QltbG1u3buULX/gClUqlcWw1yR8EAd/+9rcpl8vs2LHjhlv/s+Wf40ZZ/8vFimrQOTU1RRAE8xYQoLOzk7fffvsajerKce+99/Lkk09y0003MTo6yl//9V/z7ne/m3379jE2NoZlWWSz2Xnv6ezsZGxs7NoM+AoyJ9NCaz93bGxsjI6OjnnHDcOgpaVl1czJww8/zGOPPca6des4evQof/EXf8EjjzzCrl270HV91cyBlJI//uM/5l3vehdbt24FWNI9PzY2tuA9MndspbCQ/AC/8zu/w8DAAD09Pbz55pv8+Z//OQcPHuRf//VfgdUh/969e9mxYwe1Wo1UKsVTTz3Fli1b2LNnzw2x/ueTH26M9b/crCgl50bjkUceafy+bds27r33XgYGBvjud79LPB6/hiOLuFZ89KMfbfx+2223sW3bNjZs2MBzzz3H/ffffw1Hdnl54okn2Ldv37wYtBuJ88l/ZmzVbbfdRnd3N/fffz9Hjx5lw4YNV3uYV4SbbrqJPXv2MDs7y/e//30ef/xxdu7cea2HddU4n/xbtmy5Idb/crOi3FVtbW3oun5ONP34+DhdXV3XaFRXj2w2y+bNmzly5AhdXV24rks+n593zmqdizmZLrT2XV1d5wSg+75PLpdblXMCsH79etra2jhy5AiwOubgM5/5DD/60Y949tln6evra7y+lHu+q6trwXtk7thK4HzyL8S9994LMG/9V7r8lmWxceNG7rrrLr785S+zfft2/v7v//6GWf/zyb8Qq3H9LzcrSsmxLIu77rqLn//8543XpJT8/Oc/n+ezXK2USiWOHj1Kd3c3d911F6ZpzpuLgwcPMjQ0tCrnYt26dXR1dc2Tt1AosHv37oa8O3bsIJ/P89prrzXO+cUvfoGUsvFlsNo4efIk09PTdHd3Ayt7DpRSfOYzn+Gpp57iF7/4BevWrZt3fCn3/I4dO9i7d+88Re+ZZ54hk8k0TP7XK4vJvxB79uwBmLf+K1X+8yGlxHGcVb/+52NO/oW4Edb/krnWkc/L5dvf/raybVs9+eST6sCBA+qTn/ykymaz86LJVwuf/exn1XPPPaeOHz+uXnzxRfXAAw+otrY2NTExoZRS6lOf+pTq7+9Xv/jFL9Srr76qduzYoXbs2HGNR33xFItF9cYbb6g33nhDAerv/u7v1BtvvKEGBweVUkp95StfUdlsVv3gBz9Qb775pnr00UfVunXrVLVabXzGww8/rO644w61e/du9cILL6hNmzapj33sY9dKpGVzoTkoFovqz/7sz9SuXbvU8ePH1c9+9jN15513qk2bNqlardb4jJU6B5/+9KdVU1OTeu6559To6Gjjp1KpNM5Z7J73fV9t3bpVPfjgg2rPnj3qJz/5iWpvb1df+MIXroVIy2Ix+Y8cOaL+5m/+Rr366qvq+PHj6gc/+IFav369uu+++xqfsZLlV0qpz3/+82rnzp3q+PHj6s0331Sf//znlRBC/fSnP1VKre71V+rC8t8I638lWHFKjlJK/eM//qPq7+9XlmWpd7zjHeqll1661kO6InzkIx9R3d3dyrIs1dvbqz7ykY+oI0eONI5Xq1X1h3/4h6q5uVklEgn1W7/1W2p0dPQajvjSePbZZxVwzs/jjz+ulArTyP/yL/9SdXZ2Ktu21f33368OHjw47zOmp6fVxz72MZVKpVQmk1G/93u/p4rF4jWQ5uK40BxUKhX14IMPqvb2dmWaphoYGFCf+MQnzlHwV+ocLCQ3oL7xjW80zlnKPX/ixAn1yCOPqHg8rtra2tRnP/tZ5XneVZZm+Swm/9DQkLrvvvtUS0uLsm1bbdy4UX3uc59Ts7Oz8z5npcqvlFK///u/rwYGBpRlWaq9vV3df//9DQVHqdW9/kpdWP4bYf2vBEIppa6e3SgiIiIiIiIi4uqwomJyIiIiIiIiIiKWSqTkRERERERERKxKIiUnIiIiIiIiYlUSKTkRERERERERq5JIyYmIiIiIiIhYlURKTkRERERERMSqJFJyIiIiIiIiIlYlkZITERERERERsSqJlJyIiIiIiIiIVUmk5ERERERERESsSiIlJyIiIiIiImJVEik5EREREREREauS/x81ed8Je5b15QAAAABJRU5ErkJggg==",
+            "text/plain": [
+              "<Figure size 1500x1000 with 1 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "wc_train= wc.generate(train_text)\n",
+        "plt.figure(figsize= (15,10))\n",
+        "plt.title(\"Most common Words in Covid-19 Tweets\")\n",
+        "plt.imshow(wc_train)\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "x23CyGBe6vdS"
+      },
+      "source": [
+        "the most tweeted words are:\n",
+        "\n",
+        "- URL\n",
+        "- Measles\n",
+        "- Outbreak\n",
+        "- User\n",
+        "- Kid\n",
+        "- AMP\n",
+        "- Disneyland\n",
+        "- Autism\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "HxmNycbMjVTC"
+      },
+      "source": [
+        "### iii.Length of Tweets"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "fTLp0tfKjVqV"
+      },
+      "outputs": [],
+      "source": [
+        "df_train[\"tweet_length\"]= [len(i.split(\" \")) for i in df_train[\"tweets\"]]"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 238
+        },
+        "id": "9Vkrj6OwjV_A",
+        "outputId": "3583c159-b823-4d18-9bd3-f6937c05a645"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "\n",
+              "\n",
+              "  <div id=\"df-2731b82e-e4e8-45de-bbc7-b1b492f55768\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <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>tweet_id</th>\n",
+              "      <th>tweets</th>\n",
+              "      <th>label</th>\n",
+              "      <th>agreement</th>\n",
+              "      <th>tweet_length</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>CL1KWCMY</td>\n",
+              "      <td>Me &amp;amp; The Big Homie meanboy3000 #MEANBOY #M...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>15</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>E3303EME</td>\n",
+              "      <td>I'm 100% thinking of devoting my career to pro...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>25</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>M4IVFSMS</td>\n",
+              "      <td>#whatcausesautism VACCINES, DO NOT VACCINATE Y...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>1DR6ROZ4</td>\n",
+              "      <td>I mean if they immunize my kid with something ...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>28</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>J77ENIIE</td>\n",
+              "      <td>Thanks to &lt;user&gt; Catch me performing at La Nui...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>20</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>OVNPOAUX</td>\n",
+              "      <td>&lt;user&gt; a nearly 67 year old study when mental ...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>22</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2731b82e-e4e8-45de-bbc7-b1b492f55768')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-572d6fa6-adad-4e86-9ece-959ae8c1fbaf\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-572d6fa6-adad-4e86-9ece-959ae8c1fbaf')\"\n",
+              "              title=\"Suggest charts.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
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+              "      </button>\n",
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+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: #E8F0FE;\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: #1967D2;\n",
+              "    height: 32px;\n",
+              "    padding: 0 0 0 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: #E2EBFA;\n",
+              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: #174EA6;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "    background-color: #3B4455;\n",
+              "    fill: #D2E3FC;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
+              "    background-color: #434B5C;\n",
+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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+              "</style>\n",
+              "\n",
+              "    <script>\n",
+              "      async function quickchart(key) {\n",
+              "        const containerElement = document.querySelector('#' + key);\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      }\n",
+              "    </script>\n",
+              "\n",
+              "      <script>\n",
+              "\n",
+              "function displayQuickchartButton(domScope) {\n",
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+              "    domScope.querySelector('#df-572d6fa6-adad-4e86-9ece-959ae8c1fbaf button.colab-df-quickchart');\n",
+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
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+              "\n",
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+              "      fill: #D2E3FC;\n",
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+              "\n",
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+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-2731b82e-e4e8-45de-bbc7-b1b492f55768 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
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+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
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+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "   tweet_id                                             tweets  label  \\\n",
+              "0  CL1KWCMY  Me &amp; The Big Homie meanboy3000 #MEANBOY #M...    0.0   \n",
+              "1  E3303EME  I'm 100% thinking of devoting my career to pro...    1.0   \n",
+              "2  M4IVFSMS  #whatcausesautism VACCINES, DO NOT VACCINATE Y...   -1.0   \n",
+              "3  1DR6ROZ4  I mean if they immunize my kid with something ...   -1.0   \n",
+              "4  J77ENIIE  Thanks to <user> Catch me performing at La Nui...    0.0   \n",
+              "5  OVNPOAUX  <user> a nearly 67 year old study when mental ...    1.0   \n",
+              "\n",
+              "   agreement  tweet_length  \n",
+              "0   1.000000            15  \n",
+              "1   1.000000            25  \n",
+              "2   1.000000             7  \n",
+              "3   1.000000            28  \n",
+              "4   1.000000            20  \n",
+              "5   0.666667            22  "
+            ]
+          },
+          "execution_count": 34,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "df_train.loc[:5]"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "467XroyznrrG",
+        "outputId": "98e34cce-1a6d-45bf-de39-035885e9ad70"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "33"
+            ]
+          },
+          "execution_count": 35,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "df_train[\"tweet_length\"].max()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "nXCuWCnmjWWD"
+      },
+      "outputs": [],
+      "source": [
+        "##getting my tweet length\n",
+        "tweet_len= df_train[\"tweet_length\"].value_counts().reset_index()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "bIDdD9n2nTwd"
+      },
+      "outputs": [],
+      "source": [
+        "tweet_len.columns= [\"tweet_length\", \"count\"]"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 542
+        },
+        "id": "9qXxxPbcnTW2",
+        "outputId": "d43514e4-d0b1-4aa8-a426-e19817bbd675"
+      },
+      "outputs": [
+        {
+          "data": {
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+              "<body>\n",
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+              "</body>\n",
+              "</html>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "##visualizaing the length of my tweets\n",
+        "\n",
+        "fig_2= px.scatter(data_frame= tweet_len, x= \"tweet_length\", y= \"count\", size= \"count\", color= \"tweet_length\", title= \"Length of Tweets\")\n",
+        "\n",
+        "fig_2.show()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "ozRBOW54ov7s"
+      },
+      "source": [
+        "#### Notes:\n",
+        "\n",
+        "- Most tweets are 18 words of length"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "-idgRNHAvuha"
+      },
+      "source": [
+        "# 2. Data Preparation\n",
+        "\n",
+        "Workflow:\n",
+        "\n",
+        "- Handle Issues we discovered during our exploration\n",
+        "- drop unecessary columns\n",
+        "- Perform NLP Preprocessing steps"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "uC5dcx6dv9_v"
+      },
+      "source": [
+        "## 2.1  Handling Issues Discovered During Exploration"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "7-AEFYPnzZgA"
+      },
+      "source": [
+        "#### i. Missing values\n",
+        "\n",
+        "- Since the missing values are just a few, we will just drop them"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "uACkCy2Czd-b"
+      },
+      "outputs": [],
+      "source": [
+        "df_train= df_train.dropna()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "DE2-IPoozuKk"
+      },
+      "outputs": [],
+      "source": [
+        "df_test= df_test.dropna()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "D2AYHVyEzyA_",
+        "outputId": "d6ea4a41-a9ff-4e28-e421-130afab175c5"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "tweet_id        0\n",
+              "tweets          0\n",
+              "label           0\n",
+              "agreement       0\n",
+              "tweet_length    0\n",
+              "dtype: int64"
+            ]
+          },
+          "execution_count": 41,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "df_train.isna().sum()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "WtfnmF8Zz0yu",
+        "outputId": "c4b7aad6-8ddc-42bb-d0db-1d6b6dedfb2f"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "tweet_id    0\n",
+              "tweets      0\n",
+              "dtype: int64"
+            ]
+          },
+          "execution_count": 42,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "df_test.isna().sum()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "XYjQzbREz5g-"
+      },
+      "source": [
+        "##### ii.Handling the abnormal value"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "_viDcA3b0hhM",
+        "outputId": "cc9fd6ef-6174-4f4d-ad64-13013de2b883"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "array([ 0.,  1., -1.])"
+            ]
+          },
+          "execution_count": 43,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "df_train[\"label\"].unique()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "y1iw1_LX0lFM"
+      },
+      "outputs": [],
+      "source": [
+        "##since it has been handled, we will proceed to the next step"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "bCaE520a0ult"
+      },
+      "source": [
+        "## 2.2 Dropping Unecesary Columns\n",
+        "\n",
+        "- I will be dropping the tweet ID column since it holds no inherent value"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "krUGPFyl0vZ3"
+      },
+      "outputs": [],
+      "source": [
+        "df_train= df_train.drop(\"tweet_id\", axis=1)\n",
+        "df_test= df_test.drop(\"tweet_id\", axis=1)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 206
+        },
+        "id": "w7fC8uOB0vxl",
+        "outputId": "3be34bbe-31fa-46cc-f246-c0216b78a1fe"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "\n",
+              "\n",
+              "  <div id=\"df-3df8b246-63a1-4449-a0bf-153f3b0a7ce5\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
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+              "      <th></th>\n",
+              "      <th>tweets</th>\n",
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+              "      <th>agreement</th>\n",
+              "      <th>tweet_length</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>Me &amp;amp; The Big Homie meanboy3000 #MEANBOY #M...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>15</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>I'm 100% thinking of devoting my career to pro...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>25</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>#whatcausesautism VACCINES, DO NOT VACCINATE Y...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>I mean if they immunize my kid with something ...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>28</td>\n",
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+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>Thanks to &lt;user&gt; Catch me performing at La Nui...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>20</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3df8b246-63a1-4449-a0bf-153f3b0a7ce5')\"\n",
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+              "              style=\"display:none;\">\n",
+              "\n",
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+              "  </svg>\n",
+              "      </button>\n",
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+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-9e272036-ba03-4c45-bc58-c76f61ad9382')\"\n",
+              "              title=\"Suggest charts.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
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+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "    </div>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: #E8F0FE;\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
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+              "    fill: #1967D2;\n",
+              "    height: 32px;\n",
+              "    padding: 0 0 0 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: #E2EBFA;\n",
+              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: #174EA6;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "    background-color: #3B4455;\n",
+              "    fill: #D2E3FC;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
+              "    background-color: #434B5C;\n",
+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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+              "</style>\n",
+              "\n",
+              "    <script>\n",
+              "      async function quickchart(key) {\n",
+              "        const containerElement = document.querySelector('#' + key);\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
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+              "\n",
+              "      <script>\n",
+              "\n",
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+              "  let quickchartButtonEl =\n",
+              "    domScope.querySelector('#df-9e272036-ba03-4c45-bc58-c76f61ad9382 button.colab-df-quickchart');\n",
+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "}\n",
+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
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+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
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+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
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+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-3df8b246-63a1-4449-a0bf-153f3b0a7ce5 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-3df8b246-63a1-4449-a0bf-153f3b0a7ce5');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "                                              tweets  label  agreement  \\\n",
+              "0  Me &amp; The Big Homie meanboy3000 #MEANBOY #M...    0.0        1.0   \n",
+              "1  I'm 100% thinking of devoting my career to pro...    1.0        1.0   \n",
+              "2  #whatcausesautism VACCINES, DO NOT VACCINATE Y...   -1.0        1.0   \n",
+              "3  I mean if they immunize my kid with something ...   -1.0        1.0   \n",
+              "4  Thanks to <user> Catch me performing at La Nui...    0.0        1.0   \n",
+              "\n",
+              "   tweet_length  \n",
+              "0            15  \n",
+              "1            25  \n",
+              "2             7  \n",
+              "3            28  \n",
+              "4            20  "
+            ]
+          },
+          "execution_count": 46,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "df_train.head()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 206
+        },
+        "id": "iRymZC8R0wGo",
+        "outputId": "ac2ce5ca-3f0d-46b7-9ccd-1f3068e04823"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "\n",
+              "\n",
+              "  <div id=\"df-0727bd69-50e1-4d20-8f7f-c74959a38cb9\">\n",
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+              "      <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
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+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
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+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>tweets</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>&lt;user&gt; &lt;user&gt; ... &amp;amp; 4 a vaccine given 2 he...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>Students starting school without whooping coug...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>I'm kinda over every ep of &lt;user&gt; being \"rippe...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>How many innocent children die for lack of vac...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>CDC eyeing bird flu vaccine for humans, though...</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0727bd69-50e1-4d20-8f7f-c74959a38cb9')\"\n",
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+              "  .colab-df-quickchart {\n",
+              "    background-color: #E8F0FE;\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: #1967D2;\n",
+              "    height: 32px;\n",
+              "    padding: 0 0 0 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: #E2EBFA;\n",
+              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: #174EA6;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "    background-color: #3B4455;\n",
+              "    fill: #D2E3FC;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
+              "    background-color: #434B5C;\n",
+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "    fill: #FFFFFF;\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "    <script>\n",
+              "      async function quickchart(key) {\n",
+              "        const containerElement = document.querySelector('#' + key);\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      }\n",
+              "    </script>\n",
+              "\n",
+              "      <script>\n",
+              "\n",
+              "function displayQuickchartButton(domScope) {\n",
+              "  let quickchartButtonEl =\n",
+              "    domScope.querySelector('#df-0a709522-01f0-47ae-bb11-90dfd838f255 button.colab-df-quickchart');\n",
+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "}\n",
+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-0727bd69-50e1-4d20-8f7f-c74959a38cb9 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-0727bd69-50e1-4d20-8f7f-c74959a38cb9');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "                                              tweets\n",
+              "0  <user> <user> ... &amp; 4 a vaccine given 2 he...\n",
+              "1  Students starting school without whooping coug...\n",
+              "2  I'm kinda over every ep of <user> being \"rippe...\n",
+              "3  How many innocent children die for lack of vac...\n",
+              "4  CDC eyeing bird flu vaccine for humans, though..."
+            ]
+          },
+          "execution_count": 47,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "df_test.head()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "I6jDwwDUub_9"
+      },
+      "source": [
+        "## 2.3 NLP Preprocessing Steps"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "spnaHCG1wGuO"
+      },
+      "source": [
+        "###i. Converting Everything to Lowercase"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "5w0btf_iv3Vk"
+      },
+      "outputs": [],
+      "source": [
+        "df_train[\"tweets\"]= df_train[\"tweets\"].str.lower()\n",
+        "df_test[\"tweets\"]= df_test[\"tweets\"].str.lower()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "EJEZkf2KwAG7"
+      },
+      "source": [
+        "### ii.Removing Punctuations"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "p_JNDC4HwaXi"
+      },
+      "outputs": [],
+      "source": [
+        "##using regex to remove punctuations and replace them with a space\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "MD3uS9uElHfh"
+      },
+      "outputs": [],
+      "source": [
+        "##removing hashtags:\n",
+        "\n",
+        "def punctuation_remover(text):\n",
+        "  ##removing has tags\n",
+        "  text= re.sub(r'#\\w+', '', text)\n",
+        "  ##removing punctuations\n",
+        "  text= re.sub(\"[^\\w\\s]\", repl= \"\", string=text)\n",
+        "  return text\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "2GgFzHO6zsHx"
+      },
+      "outputs": [],
+      "source": [
+        "##creating a new\n",
+        "df_train[\"clean_tweet\"]= df_train[\"tweets\"].apply(punctuation_remover)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "ToevcCyKz3Sg"
+      },
+      "outputs": [],
+      "source": [
+        "df_test[\"clean_tweet\"]= df_test[\"tweets\"].apply(punctuation_remover)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 554
+        },
+        "id": "CBVqPeBYz1wK",
+        "outputId": "44f4e7cc-9070-40cb-c17c-482d21771014"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "\n",
+              "\n",
+              "  <div id=\"df-b471c363-78b4-4e03-b205-8b88b94148b2\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <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>tweets</th>\n",
+              "      <th>label</th>\n",
+              "      <th>agreement</th>\n",
+              "      <th>tweet_length</th>\n",
+              "      <th>clean_tweet</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>me &amp;amp; the big homie meanboy3000 #meanboy #m...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>15</td>\n",
+              "      <td>me amp the big homie meanboy3000       stegman...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>i'm 100% thinking of devoting my career to pro...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>25</td>\n",
+              "      <td>im 100 thinking of devoting my career to provi...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>#whatcausesautism vaccines, do not vaccinate y...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>7</td>\n",
+              "      <td>vaccines do not vaccinate your child</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>i mean if they immunize my kid with something ...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>28</td>\n",
+              "      <td>i mean if they immunize my kid with something ...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>thanks to &lt;user&gt; catch me performing at la nui...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>20</td>\n",
+              "      <td>thanks to user catch me performing at la nuit ...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>...</th>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>96</th>\n",
+              "      <td>“&lt;user&gt; people who complain live longer. relea...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>19</td>\n",
+              "      <td>user people who complain live longer releasing...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>97</th>\n",
+              "      <td>austerity is not a vaccine to crisis... it is ...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>20</td>\n",
+              "      <td>austerity is not a vaccine to crisis it is a p...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>98</th>\n",
+              "      <td>“&lt;user&gt; compensation for autism brain damage a...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>15</td>\n",
+              "      <td>user compensation for autism brain damage and ...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>99</th>\n",
+              "      <td>is it that i seek to bear w/ them? is it that ...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>24</td>\n",
+              "      <td>is it that i seek to bear w them is it that i ...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>100</th>\n",
+              "      <td>\"&lt;user&gt; conservative neurosurgeon ben carson s...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>20</td>\n",
+              "      <td>user conservative neurosurgeon ben carson says...</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>101 rows × 5 columns</p>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b471c363-78b4-4e03-b205-8b88b94148b2')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-ad740b94-de23-41ac-9fed-be75a734cfbe\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ad740b94-de23-41ac-9fed-be75a734cfbe')\"\n",
+              "              title=\"Suggest charts.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "    </div>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: #E8F0FE;\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: #1967D2;\n",
+              "    height: 32px;\n",
+              "    padding: 0 0 0 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: #E2EBFA;\n",
+              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: #174EA6;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "    background-color: #3B4455;\n",
+              "    fill: #D2E3FC;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
+              "    background-color: #434B5C;\n",
+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "    fill: #FFFFFF;\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "    <script>\n",
+              "      async function quickchart(key) {\n",
+              "        const containerElement = document.querySelector('#' + key);\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      }\n",
+              "    </script>\n",
+              "\n",
+              "      <script>\n",
+              "\n",
+              "function displayQuickchartButton(domScope) {\n",
+              "  let quickchartButtonEl =\n",
+              "    domScope.querySelector('#df-ad740b94-de23-41ac-9fed-be75a734cfbe button.colab-df-quickchart');\n",
+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "}\n",
+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-b471c363-78b4-4e03-b205-8b88b94148b2 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-b471c363-78b4-4e03-b205-8b88b94148b2');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "                                                tweets  label  agreement  \\\n",
+              "0    me &amp; the big homie meanboy3000 #meanboy #m...    0.0   1.000000   \n",
+              "1    i'm 100% thinking of devoting my career to pro...    1.0   1.000000   \n",
+              "2    #whatcausesautism vaccines, do not vaccinate y...   -1.0   1.000000   \n",
+              "3    i mean if they immunize my kid with something ...   -1.0   1.000000   \n",
+              "4    thanks to <user> catch me performing at la nui...    0.0   1.000000   \n",
+              "..                                                 ...    ...        ...   \n",
+              "96   “<user> people who complain live longer. relea...    0.0   1.000000   \n",
+              "97   austerity is not a vaccine to crisis... it is ...    0.0   1.000000   \n",
+              "98   “<user> compensation for autism brain damage a...    0.0   0.666667   \n",
+              "99   is it that i seek to bear w/ them? is it that ...    0.0   0.666667   \n",
+              "100  \"<user> conservative neurosurgeon ben carson s...   -1.0   0.666667   \n",
+              "\n",
+              "     tweet_length                                        clean_tweet  \n",
+              "0              15  me amp the big homie meanboy3000       stegman...  \n",
+              "1              25  im 100 thinking of devoting my career to provi...  \n",
+              "2               7               vaccines do not vaccinate your child  \n",
+              "3              28  i mean if they immunize my kid with something ...  \n",
+              "4              20  thanks to user catch me performing at la nuit ...  \n",
+              "..            ...                                                ...  \n",
+              "96             19  user people who complain live longer releasing...  \n",
+              "97             20  austerity is not a vaccine to crisis it is a p...  \n",
+              "98             15  user compensation for autism brain damage and ...  \n",
+              "99             24  is it that i seek to bear w them is it that i ...  \n",
+              "100            20  user conservative neurosurgeon ben carson says...  \n",
+              "\n",
+              "[101 rows x 5 columns]"
+            ]
+          },
+          "execution_count": 53,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "df_train.loc[:100]"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
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+        "id": "9TiVpEzLz8Zv",
+        "outputId": "20f701f1-83c3-4656-8f98-571a6660f4e9"
+      },
+      "outputs": [
+        {
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+              "  <thead>\n",
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+              "      <th></th>\n",
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+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>10</th>\n",
+              "      <td>&lt;user&gt; :  i have built up immunity to those di...</td>\n",
+              "      <td>user   i have built up immunity to those disea...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>11</th>\n",
+              "      <td>&lt;user&gt; &lt;user&gt; &lt;user&gt; study of 1.3 million kids...</td>\n",
+              "      <td>user user user study of 13 million kids reveal...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>12</th>\n",
+              "      <td>vaccines :-0 (@ cherokee county health departm...</td>\n",
+              "      <td>vaccines 0  cherokee county health department url</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>13</th>\n",
+              "      <td>&lt;user&gt; are you sure you want to come back to a...</td>\n",
+              "      <td>user are you sure you want to come back to a m...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>14</th>\n",
+              "      <td>oh well &lt;user&gt; an 18-month-old who had not bee...</td>\n",
+              "      <td>oh well user an 18monthold who had not been va...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>15</th>\n",
+              "      <td>kcmo health depart:if you want a nasal flu vac...</td>\n",
+              "      <td>kcmo health departif you want a nasal flu vacc...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>16</th>\n",
+              "      <td>a stipulation on jay's contract should be that...</td>\n",
+              "      <td>a stipulation on jays contract should be that ...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>17</th>\n",
+              "      <td>if you do not vaccinate your children, let me ...</td>\n",
+              "      <td>if you do not vaccinate your children let me k...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>18</th>\n",
+              "      <td>currently at the health department waiting for...</td>\n",
+              "      <td>currently at the health department waiting for...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>19</th>\n",
+              "      <td>&lt;user&gt; &lt;user&gt; &lt;user&gt; &lt;user&gt; &lt;user&gt; and again, ...</td>\n",
+              "      <td>user user user user user and again they do hav...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>20</th>\n",
+              "      <td>disney parks-linked measles outbreak grows to ...</td>\n",
+              "      <td>disney parkslinked measles outbreak grows to 7...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>21</th>\n",
+              "      <td>#hatemondays#fml#immunization#health#mmr#vacci...</td>\n",
+              "      <td>nyc department of education url</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>22</th>\n",
+              "      <td>this made me think of you. &lt;user&gt; “&lt;user&gt; seat...</td>\n",
+              "      <td>this made me think of you user user seattle ki...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>23</th>\n",
+              "      <td>this is how infectious diseases start, thx for...</td>\n",
+              "      <td>this is how infectious diseases start thx for ...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>24</th>\n",
+              "      <td>8 out of 12 patents admitted children develope...</td>\n",
+              "      <td>8 out of 12 patents admitted children develope...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25</th>\n",
+              "      <td>almighty jesus, nobody gave me nothing but the...</td>\n",
+              "      <td>almighty jesus nobody gave me nothing but the ...</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a7011972-4142-4b0e-a025-99309900d7c1')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
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+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
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+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
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+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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+              "\n",
+              "      <script>\n",
+              "\n",
+              "function displayQuickchartButton(domScope) {\n",
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+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "}\n",
+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
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+              "\n",
+              "    .colab-df-convert {\n",
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+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
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+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-a7011972-4142-4b0e-a025-99309900d7c1');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
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+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "                                               tweets  \\\n",
+              "10  <user> :  i have built up immunity to those di...   \n",
+              "11  <user> <user> <user> study of 1.3 million kids...   \n",
+              "12  vaccines :-0 (@ cherokee county health departm...   \n",
+              "13  <user> are you sure you want to come back to a...   \n",
+              "14  oh well <user> an 18-month-old who had not bee...   \n",
+              "15  kcmo health depart:if you want a nasal flu vac...   \n",
+              "16  a stipulation on jay's contract should be that...   \n",
+              "17  if you do not vaccinate your children, let me ...   \n",
+              "18  currently at the health department waiting for...   \n",
+              "19  <user> <user> <user> <user> <user> and again, ...   \n",
+              "20  disney parks-linked measles outbreak grows to ...   \n",
+              "21  #hatemondays#fml#immunization#health#mmr#vacci...   \n",
+              "22  this made me think of you. <user> “<user> seat...   \n",
+              "23  this is how infectious diseases start, thx for...   \n",
+              "24  8 out of 12 patents admitted children develope...   \n",
+              "25  almighty jesus, nobody gave me nothing but the...   \n",
+              "\n",
+              "                                          clean_tweet  \n",
+              "10  user   i have built up immunity to those disea...  \n",
+              "11  user user user study of 13 million kids reveal...  \n",
+              "12  vaccines 0  cherokee county health department url  \n",
+              "13  user are you sure you want to come back to a m...  \n",
+              "14  oh well user an 18monthold who had not been va...  \n",
+              "15  kcmo health departif you want a nasal flu vacc...  \n",
+              "16  a stipulation on jays contract should be that ...  \n",
+              "17  if you do not vaccinate your children let me k...  \n",
+              "18  currently at the health department waiting for...  \n",
+              "19  user user user user user and again they do hav...  \n",
+              "20  disney parkslinked measles outbreak grows to 7...  \n",
+              "21                    nyc department of education url  \n",
+              "22  this made me think of you user user seattle ki...  \n",
+              "23  this is how infectious diseases start thx for ...  \n",
+              "24  8 out of 12 patents admitted children develope...  \n",
+              "25  almighty jesus nobody gave me nothing but the ...  "
+            ]
+          },
+          "execution_count": 54,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "df_test.loc[10:25]"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "Y0QnGEt4k8OZ"
+      },
+      "outputs": [],
+      "source": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "nz5Nr7nT1v_E"
+      },
+      "source": [
+        "## iii.Removing Stop words"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 174
+        },
+        "id": "YkcZrhGB17Gs",
+        "outputId": "ac8d7392-8834-4b0b-a397-78b373cd7bb0"
+      },
+      "outputs": [
+        {
+          "data": {
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "string"
+            },
+            "text/plain": [
+              "\"on i why's such been during me we've no have himself your just not she'll since when against both how out do for it her he same com did very over own www couldn't she's then further there here's does therefore again these http yourselves can't through of i'd where's a as were theirs only with could when's some you'll more you're hadn't itself k yourself before are few can those had doing here she that's we're how's his who he's wouldn't aren't below each once i'm like their won't between whom who's they'd about they've most themselves our you should off the weren't what's down they'll hers she'd be don't until why also by he'll an shouldn't you've we'll under so because yours than into is isn't too from he'd him nor we you'd hence i'll doesn't get that what myself in there's else having they if let's my being wasn't however was after but them didn't has ought shan't this cannot all hasn't above am we'd any otherwise while herself mustn't they're at and haven't ours up ourselves where would other or it's its shall i've r ever which to\""
+            ]
+          },
+          "execution_count": 55,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "##viewing my stopwrods\n",
+        "\" \".join(STOPWORDS)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "9DKes9k719LM"
+      },
+      "outputs": [],
+      "source": [
+        "def remove_stopwords(text):\n",
+        "  return \" \".join([word for word in text.split() if word not in stopwords])"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "vJAubWhc3Lrl"
+      },
+      "outputs": [],
+      "source": [
+        "df_train[\"clean_tweet\"]= df_train[\"clean_tweet\"].apply(lambda x: remove_stopwords(x))"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 473
+        },
+        "id": "LHeP0c9y4cht",
+        "outputId": "2b780307-5ca7-467b-c148-8d8ab8b5ed25"
+      },
+      "outputs": [
+        {
+          "data": {
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+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
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+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>tweets</th>\n",
+              "      <th>label</th>\n",
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+              "      <th>10</th>\n",
+              "      <td>&lt;user&gt; @ this point i have 2 text, butw/bon jo...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
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+              "      <th>11</th>\n",
+              "      <td>my prediction, vaccine exemption in arizona wi...</td>\n",
+              "      <td>0.0</td>\n",
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+              "      <td>prediction vaccine exemption arizona will end ...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>12</th>\n",
+              "      <td>getting my vaccines ! #china #nervous #moving ...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>16</td>\n",
+              "      <td>getting vaccines cheryl southern nevada health...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>13</th>\n",
+              "      <td>1$mug noche &lt;user&gt; #mmr #mixmasterrod #dcdj #m...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>13</td>\n",
+              "      <td>1mug noche user mad hatter url</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>14</th>\n",
+              "      <td>got my influenza vaccine! (@ purdue university...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>13</td>\n",
+              "      <td>got influenza vaccine purdue university studen...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>15</th>\n",
+              "      <td>sb121 [enroll] meningococcal disease-pupils to...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>12</td>\n",
+              "      <td>sb121 enroll meningococcal diseasepupils immun...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>16</th>\n",
+              "      <td>increasing number of parents skip vaccinations...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>12</td>\n",
+              "      <td>increasing number parents skip vaccinations ch...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>17</th>\n",
+              "      <td>&lt;user&gt; thank you for standing with ca parents ...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>16</td>\n",
+              "      <td>user thank standing ca parents children suppor...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>18</th>\n",
+              "      <td>dude idc if disney land has the measles, that ...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>20</td>\n",
+              "      <td>dude idc disney land measles means shorter lin...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>19</th>\n",
+              "      <td>beeftalk: start your calf vaccinations now &lt;ur...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>14</td>\n",
+              "      <td>beeftalk start calf vaccinations now url via u...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>20</th>\n",
+              "      <td>i don't care what &lt;user&gt; says, you should prob...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>13</td>\n",
+              "      <td>dont care user says probably kids vaccinated</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6b345d29-d5fd-4840-88e0-20f7b0188679')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-14186fdf-e287-4cfd-96c7-2fa299a3d0a9\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-14186fdf-e287-4cfd-96c7-2fa299a3d0a9')\"\n",
+              "              title=\"Suggest charts.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "    </div>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: #E8F0FE;\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: #1967D2;\n",
+              "    height: 32px;\n",
+              "    padding: 0 0 0 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: #E2EBFA;\n",
+              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: #174EA6;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "    background-color: #3B4455;\n",
+              "    fill: #D2E3FC;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
+              "    background-color: #434B5C;\n",
+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "    fill: #FFFFFF;\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "    <script>\n",
+              "      async function quickchart(key) {\n",
+              "        const containerElement = document.querySelector('#' + key);\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      }\n",
+              "    </script>\n",
+              "\n",
+              "      <script>\n",
+              "\n",
+              "function displayQuickchartButton(domScope) {\n",
+              "  let quickchartButtonEl =\n",
+              "    domScope.querySelector('#df-14186fdf-e287-4cfd-96c7-2fa299a3d0a9 button.colab-df-quickchart');\n",
+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "}\n",
+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-6b345d29-d5fd-4840-88e0-20f7b0188679 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-6b345d29-d5fd-4840-88e0-20f7b0188679');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "                                               tweets  label  agreement  \\\n",
+              "10  <user> @ this point i have 2 text, butw/bon jo...    0.0   1.000000   \n",
+              "11  my prediction, vaccine exemption in arizona wi...    0.0   0.666667   \n",
+              "12  getting my vaccines ! #china #nervous #moving ...    1.0   1.000000   \n",
+              "13  1$mug noche <user> #mmr #mixmasterrod #dcdj #m...    0.0   1.000000   \n",
+              "14  got my influenza vaccine! (@ purdue university...    1.0   0.666667   \n",
+              "15  sb121 [enroll] meningococcal disease-pupils to...    0.0   0.666667   \n",
+              "16  increasing number of parents skip vaccinations...    0.0   1.000000   \n",
+              "17  <user> thank you for standing with ca parents ...    1.0   1.000000   \n",
+              "18  dude idc if disney land has the measles, that ...    0.0   1.000000   \n",
+              "19  beeftalk: start your calf vaccinations now <ur...    1.0   1.000000   \n",
+              "20  i don't care what <user> says, you should prob...    1.0   1.000000   \n",
+              "\n",
+              "    tweet_length                                        clean_tweet  \n",
+              "10            25  user point 2 text butwbon jovi cover playin al...  \n",
+              "11            18  prediction vaccine exemption arizona will end ...  \n",
+              "12            16  getting vaccines cheryl southern nevada health...  \n",
+              "13            13                     1mug noche user mad hatter url  \n",
+              "14            13  got influenza vaccine purdue university studen...  \n",
+              "15            12  sb121 enroll meningococcal diseasepupils immun...  \n",
+              "16            12  increasing number parents skip vaccinations ch...  \n",
+              "17            16  user thank standing ca parents children suppor...  \n",
+              "18            20  dude idc disney land measles means shorter lin...  \n",
+              "19            14  beeftalk start calf vaccinations now url via u...  \n",
+              "20            13       dont care user says probably kids vaccinated  "
+            ]
+          },
+          "execution_count": 58,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "df_train.loc[10:20]"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "Us6KNIke4eFr"
+      },
+      "outputs": [],
+      "source": [
+        "df_test[\"clean_tweet\"]= df_test[\"clean_tweet\"].apply(lambda x: remove_stopwords(x))"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 424
+        },
+        "id": "als7vgFf42aY",
+        "outputId": "1c38cd02-d8ca-454e-cff1-813ed193fb0e"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "\n",
+              "\n",
+              "  <div id=\"df-c6876c31-161c-4921-bdb7-44d95e4739e1\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <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>tweets</th>\n",
+              "      <th>clean_tweet</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>900</th>\n",
+              "      <td>i wanna dip myself in a vat of purell after th...</td>\n",
+              "      <td>wanna dip vat purell doctors officethey safe r...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>901</th>\n",
+              "      <td>division of public health launches community i...</td>\n",
+              "      <td>division public health launches community immu...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>902</th>\n",
+              "      <td>she's a puss. haha scared of her vaccines. poo...</td>\n",
+              "      <td>shes puss haha scared vaccines poor baby spruc...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>903</th>\n",
+              "      <td>researcher says cdc 'chose to cover up' data l...</td>\n",
+              "      <td>researcher says cdc chose cover data linking a...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>904</th>\n",
+              "      <td>disney measles outbreak could get worse, exper...</td>\n",
+              "      <td>disney measles outbreak worse experts warn url</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>...</th>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>996</th>\n",
+              "      <td>free back-to-school immunizations &lt;url&gt; &lt;url&gt;</td>\n",
+              "      <td>free backtoschool immunizations url url</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>997</th>\n",
+              "      <td>lesson of the day: vaccinate your children or ...</td>\n",
+              "      <td>lesson day vaccinate children disney will kill...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>998</th>\n",
+              "      <td>&lt;user&gt; i have read some articles about the vac...</td>\n",
+              "      <td>user read articles vaccine say high incident p...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>999</th>\n",
+              "      <td>&lt;user&gt; #gop stop blaming #immigrants first #eb...</td>\n",
+              "      <td>user stop blaming first now diseasesbrought an...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1000</th>\n",
+              "      <td>mmr shots hurt like a little b</td>\n",
+              "      <td>mmr shots hurt little b</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>101 rows × 2 columns</p>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c6876c31-161c-4921-bdb7-44d95e4739e1')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-519902af-12cc-4aa1-ba95-29ee8fde4450\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-519902af-12cc-4aa1-ba95-29ee8fde4450')\"\n",
+              "              title=\"Suggest charts.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "    </div>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: #E8F0FE;\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: #1967D2;\n",
+              "    height: 32px;\n",
+              "    padding: 0 0 0 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: #E2EBFA;\n",
+              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: #174EA6;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "    background-color: #3B4455;\n",
+              "    fill: #D2E3FC;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
+              "    background-color: #434B5C;\n",
+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "    fill: #FFFFFF;\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "    <script>\n",
+              "      async function quickchart(key) {\n",
+              "        const containerElement = document.querySelector('#' + key);\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      }\n",
+              "    </script>\n",
+              "\n",
+              "      <script>\n",
+              "\n",
+              "function displayQuickchartButton(domScope) {\n",
+              "  let quickchartButtonEl =\n",
+              "    domScope.querySelector('#df-519902af-12cc-4aa1-ba95-29ee8fde4450 button.colab-df-quickchart');\n",
+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "}\n",
+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-c6876c31-161c-4921-bdb7-44d95e4739e1 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-c6876c31-161c-4921-bdb7-44d95e4739e1');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "                                                 tweets  \\\n",
+              "900   i wanna dip myself in a vat of purell after th...   \n",
+              "901   division of public health launches community i...   \n",
+              "902   she's a puss. haha scared of her vaccines. poo...   \n",
+              "903   researcher says cdc 'chose to cover up' data l...   \n",
+              "904   disney measles outbreak could get worse, exper...   \n",
+              "...                                                 ...   \n",
+              "996       free back-to-school immunizations <url> <url>   \n",
+              "997   lesson of the day: vaccinate your children or ...   \n",
+              "998   <user> i have read some articles about the vac...   \n",
+              "999   <user> #gop stop blaming #immigrants first #eb...   \n",
+              "1000                     mmr shots hurt like a little b   \n",
+              "\n",
+              "                                            clean_tweet  \n",
+              "900   wanna dip vat purell doctors officethey safe r...  \n",
+              "901   division public health launches community immu...  \n",
+              "902   shes puss haha scared vaccines poor baby spruc...  \n",
+              "903   researcher says cdc chose cover data linking a...  \n",
+              "904      disney measles outbreak worse experts warn url  \n",
+              "...                                                 ...  \n",
+              "996             free backtoschool immunizations url url  \n",
+              "997   lesson day vaccinate children disney will kill...  \n",
+              "998   user read articles vaccine say high incident p...  \n",
+              "999   user stop blaming first now diseasesbrought an...  \n",
+              "1000                            mmr shots hurt little b  \n",
+              "\n",
+              "[101 rows x 2 columns]"
+            ]
+          },
+          "execution_count": 60,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "df_test.loc[900:1000]"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "CaJn6Fmt46j1"
+      },
+      "source": [
+        "### iii.Removing Unnecesary words and Cleaning"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "Qr7HKxnsG2oU"
+      },
+      "outputs": [],
+      "source": [
+        "clean_tweet= \" \".join(df_train[\"clean_tweet\"])"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "uHDdmIC8_9qM"
+      },
+      "outputs": [],
+      "source": [
+        "freq= FreqDist([word for word in clean_tweet.split()])"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "TYHXIk2oAwZW",
+        "outputId": "a9004056-15cf-44ac-ebf9-3b4f571aff9b"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "[('user', 5499),\n",
+              " ('url', 4630),\n",
+              " ('measles', 3176),\n",
+              " ('vaccine', 1469),\n",
+              " ('kids', 1258),\n",
+              " ('vaccines', 1189),\n",
+              " ('health', 1066),\n",
+              " ('vaccinate', 905),\n",
+              " ('children', 831),\n",
+              " ('people', 702)]"
+            ]
+          },
+          "execution_count": 63,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "freq.most_common(10)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "-CAR7zlahPmN"
+      },
+      "source": [
+        "I will get rid of the words:\n",
+        "\n",
+        "- user\n",
+        "- url\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "PKUBSifpbV7m",
+        "outputId": "4b5ffa59-7f57-494f-81f7-2ad3193b2b7c"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "[('amp', 'big'),\n",
+              " ('big', 'homie'),\n",
+              " ('homie', 'meanboy3000'),\n",
+              " ('meanboy3000', 'stegman'),\n",
+              " ('stegman', 'st'),\n",
+              " ('st', 'url'),\n",
+              " ('url', 'im'),\n",
+              " ('im', '100'),\n",
+              " ('100', 'thinking'),\n",
+              " ('thinking', 'devoting'),\n",
+              " ('devoting', 'career'),\n",
+              " ('career', 'proving'),\n",
+              " ('proving', 'autism'),\n",
+              " ('autism', 'isnt'),\n",
+              " ('isnt', 'caused'),\n",
+              " ('caused', 'vaccines'),\n",
+              " ('vaccines', 'due'),\n",
+              " ('due', 'idiotic'),\n",
+              " ('idiotic', 'posts'),\n",
+              " ('posts', 'ive'),\n",
+              " ('ive', 'seen'),\n",
+              " ('seen', 'world'),\n",
+              " ('world', 'autism'),\n",
+              " ('autism', 'day'),\n",
+              " ('day', 'vaccines'),\n",
+              " ('vaccines', 'vaccinate'),\n",
+              " ('vaccinate', 'child'),\n",
+              " ('child', 'mean'),\n",
+              " ('mean', 'immunize'),\n",
+              " ('immunize', 'kid'),\n",
+              " ('kid', 'something'),\n",
+              " ('something', 'wont'),\n",
+              " ('wont', 'secretly'),\n",
+              " ('secretly', 'kill'),\n",
+              " ('kill', 'years'),\n",
+              " ('years', 'line'),\n",
+              " ('line', 'im'),\n",
+              " ('im', 'dont'),\n",
+              " ('dont', 'trust'),\n",
+              " ('trust', 'thanks'),\n",
+              " ('thanks', 'user'),\n",
+              " ('user', 'catch'),\n",
+              " ('catch', 'performing'),\n",
+              " ('performing', 'la'),\n",
+              " ('la', 'nuit'),\n",
+              " ('nuit', 'nyc'),\n",
+              " ('nyc', '1134'),\n",
+              " ('1134', '1st'),\n",
+              " ('1st', 'ave'),\n",
+              " ('ave', 'show'),\n",
+              " ('show', 'starts'),\n",
+              " ('starts', '6'),\n",
+              " ('6', 'url'),\n",
+              " ('url', 'user'),\n",
+              " ('user', 'nearly'),\n",
+              " ('nearly', '67'),\n",
+              " ('67', 'year'),\n",
+              " ('year', 'old'),\n",
+              " ('old', 'study'),\n",
+              " ('study', 'mental'),\n",
+              " ('mental', 'health'),\n",
+              " ('health', 'studies'),\n",
+              " ('studies', 'vaccines'),\n",
+              " ('vaccines', 'relatively'),\n",
+              " ('relatively', 'infancies'),\n",
+              " ('infancies', 'refuted'),\n",
+              " ('refuted', 'study'),\n",
+              " ('study', '95000'),\n",
+              " ('95000', 'kids'),\n",
+              " ('kids', 'finds'),\n",
+              " ('finds', 'link'),\n",
+              " ('link', 'mmr'),\n",
+              " ('mmr', 'vaccine'),\n",
+              " ('vaccine', 'autism'),\n",
+              " ('autism', 'url'),\n",
+              " ('url', 'psa'),\n",
+              " ('psa', 'vaccinate'),\n",
+              " ('vaccinate', 'fucking'),\n",
+              " ('fucking', 'kids'),\n",
+              " ('kids', 'coughing'),\n",
+              " ('coughing', 'extra'),\n",
+              " ('extra', 'shuttle'),\n",
+              " ('shuttle', 'everyone'),\n",
+              " ('everyone', 'thinks'),\n",
+              " ('thinks', 'measles'),\n",
+              " ('measles', 'aids'),\n",
+              " ('aids', 'vaccine'),\n",
+              " ('vaccine', 'created'),\n",
+              " ('created', 'oregon'),\n",
+              " ('oregon', 'health'),\n",
+              " ('health', 'amp'),\n",
+              " ('amp', 'science'),\n",
+              " ('science', 'university'),\n",
+              " ('university', 'may'),\n",
+              " ('may', 'clear'),\n",
+              " ('clear', 'virus'),\n",
+              " ('virus', 'body'),\n",
+              " ('body', 'url'),\n",
+              " ('url', 'url'),\n",
+              " ('url', 'user'),\n",
+              " ('user', 'point'),\n",
+              " ('point', '2'),\n",
+              " ('2', 'text'),\n",
+              " ('text', 'butwbon'),\n",
+              " ('butwbon', 'jovi'),\n",
+              " ('jovi', 'cover'),\n",
+              " ('cover', 'playin'),\n",
+              " ('playin', 'alibis'),\n",
+              " ('alibis', 'hope'),\n",
+              " ('hope', 'u'),\n",
+              " ('u', 'come'),\n",
+              " ('come', '2'),\n",
+              " ('2', 'mmr'),\n",
+              " ('mmr', 'bbquser'),\n",
+              " ('bbquser', 'will'),\n",
+              " ('will', 'b'),\n",
+              " ('b', 'prediction'),\n",
+              " ('prediction', 'vaccine'),\n",
+              " ('vaccine', 'exemption'),\n",
+              " ('exemption', 'arizona'),\n",
+              " ('arizona', 'will'),\n",
+              " ('will', 'end'),\n",
+              " ('end', 'soon'),\n",
+              " ('soon', 'much'),\n",
+              " ('much', 'money'),\n",
+              " ('money', 'lost'),\n",
+              " ('lost', 'big'),\n",
+              " ('big', 'pharma'),\n",
+              " ('pharma', 'getting'),\n",
+              " ('getting', 'vaccines'),\n",
+              " ('vaccines', 'cheryl'),\n",
+              " ('cheryl', 'southern'),\n",
+              " ('southern', 'nevada'),\n",
+              " ('nevada', 'health'),\n",
+              " ('health', 'district'),\n",
+              " ('district', 'url'),\n",
+              " ('url', '1mug'),\n",
+              " ('1mug', 'noche'),\n",
+              " ('noche', 'user'),\n",
+              " ('user', 'mad'),\n",
+              " ('mad', 'hatter'),\n",
+              " ('hatter', 'url'),\n",
+              " ('url', 'got'),\n",
+              " ('got', 'influenza'),\n",
+              " ('influenza', 'vaccine'),\n",
+              " ('vaccine', 'purdue'),\n",
+              " ('purdue', 'university'),\n",
+              " ('university', 'student'),\n",
+              " ('student', 'health'),\n",
+              " ('health', 'push'),\n",
+              " ('push', 'user'),\n",
+              " ('user', 'url'),\n",
+              " ('url', 'sb121'),\n",
+              " ('sb121', 'enroll'),\n",
+              " ('enroll', 'meningococcal'),\n",
+              " ('meningococcal', 'diseasepupils'),\n",
+              " ('diseasepupils', 'immunized'),\n",
+              " ('immunized', 'recommended'),\n",
+              " ('recommended', 'age'),\n",
+              " ('age', 'url'),\n",
+              " ('url', 'increasing'),\n",
+              " ('increasing', 'number'),\n",
+              " ('number', 'parents'),\n",
+              " ('parents', 'skip'),\n",
+              " ('skip', 'vaccinations'),\n",
+              " ('vaccinations', 'childrencolumbia'),\n",
+              " ('childrencolumbia', 'missourian'),\n",
+              " ('missourian', 'url'),\n",
+              " ('url', 'user'),\n",
+              " ('user', 'thank'),\n",
+              " ('thank', 'standing'),\n",
+              " ('standing', 'ca'),\n",
+              " ('ca', 'parents'),\n",
+              " ('parents', 'children'),\n",
+              " ('children', 'support'),\n",
+              " ('support', 'user'),\n",
+              " ('user', 'dude'),\n",
+              " ('dude', 'idc'),\n",
+              " ('idc', 'disney'),\n",
+              " ('disney', 'land'),\n",
+              " ('land', 'measles'),\n",
+              " ('measles', 'means'),\n",
+              " ('means', 'shorter'),\n",
+              " ('shorter', 'lines'),\n",
+              " ('lines', 'rides'),\n",
+              " ('rides', 'im'),\n",
+              " ('im', 'driving'),\n",
+              " ('driving', 'rn'),\n",
+              " ('rn', 'beeftalk'),\n",
+              " ('beeftalk', 'start'),\n",
+              " ('start', 'calf'),\n",
+              " ('calf', 'vaccinations'),\n",
+              " ('vaccinations', 'now'),\n",
+              " ('now', 'url'),\n",
+              " ('url', 'via'),\n",
+              " ('via', 'user'),\n",
+              " ('user', 'good'),\n",
+              " ('good', 'article'),\n",
+              " ('article', 'herd'),\n",
+              " ('herd', 'health'),\n",
+              " ('health', 'dont'),\n",
+              " ('dont', 'care'),\n",
+              " ('care', 'user'),\n",
+              " ('user', 'says'),\n",
+              " ('says', 'probably'),\n",
+              " ('probably', 'kids'),\n",
+              " ('kids', 'vaccinated'),\n",
+              " ('vaccinated', 'small'),\n",
+              " ('small', 'study'),\n",
+              " ('study', 'shows'),\n",
+              " ('shows', '10'),\n",
+              " ('10', 'pts'),\n",
+              " ('pts', 'lupus'),\n",
+              " ('lupus', 'shingles'),\n",
+              " ('shingles', 'vaccine'),\n",
+              " ('vaccine', 'safe'),\n",
+              " ('safe', 'needs'),\n",
+              " ('needs', 'confirmed'),\n",
+              " ('confirmed', 'larger'),\n",
+              " ('larger', 'study'),\n",
+              " ('study', 'url'),\n",
+              " ('url', 'cdc'),\n",
+              " ('cdc', 'measles'),\n",
+              " ('measles', 'epidemic'),\n",
+              " ('epidemic', 'poses'),\n",
+              " ('poses', 'travel'),\n",
+              " ('travel', 'risks'),\n",
+              " ('risks', 'usatlyixdtv1'),\n",
+              " ('usatlyixdtv1', 'yes'),\n",
+              " ('yes', 'true'),\n",
+              " ('true', 'zombie'),\n",
+              " ('zombie', 'epidemic'),\n",
+              " ('epidemic', 'closing'),\n",
+              " ('closing', 'us'),\n",
+              " ('us', 'every'),\n",
+              " ('every', 'time'),\n",
+              " ('time', 'see'),\n",
+              " ('see', 'vaccinate'),\n",
+              " ('vaccinate', 'debate'),\n",
+              " ('debate', 'wonder'),\n",
+              " ('wonder', 'one'),\n",
+              " ('one', 'side'),\n",
+              " ('side', 'argument'),\n",
+              " ('argument', 'even'),\n",
+              " ('even', 'children'),\n",
+              " ('children', 'user'),\n",
+              " ('user', 'lied'),\n",
+              " ('lied', 'hid'),\n",
+              " ('hid', 'data'),\n",
+              " ('data', 'black'),\n",
+              " ('black', 'boys'),\n",
+              " ('boys', '340'),\n",
+              " ('340', 'uncreased'),\n",
+              " ('uncreased', 'risk'),\n",
+              " ('risk', 'developing'),\n",
+              " ('developing', 'autism'),\n",
+              " ('autism', 'mmr'),\n",
+              " ('mmr', 'help'),\n",
+              " ('help', 'user'),\n",
+              " ('user', 'vaccines'),\n",
+              " ('vaccines', 'causing'),\n",
+              " ('causing', 'autism'),\n",
+              " ('autism', 'user'),\n",
+              " ('user', 'rarely'),\n",
+              " ('rarely', 'see'),\n",
+              " ('see', 'arguments'),\n",
+              " ('arguments', 'vaccination'),\n",
+              " ('vaccination', 'actually'),\n",
+              " ('actually', 'big'),\n",
+              " ('big', 'deal'),\n",
+              " ('deal', 'im'),\n",
+              " ('im', 'obsessed'),\n",
+              " ('obsessed', 'w'),\n",
+              " ('w', 'ebola'),\n",
+              " ('ebola', 'following'),\n",
+              " ('following', 'outbreak'),\n",
+              " ('outbreak', 'worlds'),\n",
+              " ('worlds', 'deadliest'),\n",
+              " ('deadliest', 'disease'),\n",
+              " ('disease', 'vaccine'),\n",
+              " ('vaccine', 'cure'),\n",
+              " ('cure', 'amp'),\n",
+              " ('amp', '90'),\n",
+              " ('90', 'death'),\n",
+              " ('death', 'rate'),\n",
+              " ('rate', 'user'),\n",
+              " ('user', 'joshthenewt'),\n",
+              " ('joshthenewt', 'suck'),\n",
+              " ('suck', 'game'),\n",
+              " ('game', 'haha'),\n",
+              " ('haha', 'well'),\n",
+              " ('well', 'people'),\n",
+              " ('people', 'say'),\n",
+              " ('say', 'dont'),\n",
+              " ('dont', 'mmr'),\n",
+              " ('mmr', 'eh'),\n",
+              " ('eh', 'dont'),\n",
+              " ('dont', 'shake'),\n",
+              " ('shake', 'hand'),\n",
+              " ('hand', 'pocahontas'),\n",
+              " ('pocahontas', 'thats'),\n",
+              " ('thats', 'probably'),\n",
+              " ('probably', 'measles'),\n",
+              " ('measles', 'now'),\n",
+              " ('now', 'user'),\n",
+              " ('user', 'yes'),\n",
+              " ('yes', 'im'),\n",
+              " ('im', 'part'),\n",
+              " ('part', 'public'),\n",
+              " ('public', 'health'),\n",
+              " ('health', 'im'),\n",
+              " ('im', 'part'),\n",
+              " ('part', 'nature'),\n",
+              " ('nature', 'feed'),\n",
+              " ('feed', 'abandoned'),\n",
+              " ('abandoned', 'baby'),\n",
+              " ('baby', 'bird'),\n",
+              " ('bird', 'vaccinate'),\n",
+              " ('vaccinate', 'privileged'),\n",
+              " ('privileged', 'kids'),\n",
+              " ('kids', 'new'),\n",
+              " ('new', 'studies'),\n",
+              " ('studies', 'show'),\n",
+              " ('show', 'vaccines'),\n",
+              " ('vaccines', 'associated'),\n",
+              " ('associated', 'autism'),\n",
+              " ('autism', 'news'),\n",
+              " ('news', 'sky'),\n",
+              " ('sky', 'blue'),\n",
+              " ('blue', 'repetitive'),\n",
+              " ('repetitive', 'less'),\n",
+              " ('less', 'shocked'),\n",
+              " ('shocked', 'increase'),\n",
+              " ('increase', 'asd'),\n",
+              " ('asd', 'even'),\n",
+              " ('even', 'genetically'),\n",
+              " ('genetically', 'high'),\n",
+              " ('high', 'risk'),\n",
+              " ('risk', 'url'),\n",
+              " ('url', 'glad'),\n",
+              " ('glad', 'got'),\n",
+              " ('got', 'vaccinated'),\n",
+              " ('vaccinated', 'user'),\n",
+              " ('user', 'health'),\n",
+              " ('health', 'alert'),\n",
+              " ('alert', 'case'),\n",
+              " ('case', 'meningitis'),\n",
+              " ('meningitis', 'reported'),\n",
+              " ('reported', 'monmouth'),\n",
+              " ('monmouth', 'university'),\n",
+              " ('university', 'url'),\n",
+              " ('url', 'look'),\n",
+              " ('look', 'got'),\n",
+              " ('got', 'measles'),\n",
+              " ('measles', 'user'),\n",
+              " ('user', 'user'),\n",
+              " ('user', 'defense'),\n",
+              " ('defense', 'vaccines'),\n",
+              " ('vaccines', 'harmful'),\n",
+              " ('harmful', 'american'),\n",
+              " ('american', 'life'),\n",
+              " ('life', 'unhealthy'),\n",
+              " ('unhealthy', 'hello'),\n",
+              " ('hello', 'ranked'),\n",
+              " ('ranked', 'reset'),\n",
+              " ('reset', 'probably'),\n",
+              " ('probably', 'bad'),\n",
+              " ('bad', 'placements'),\n",
+              " ('placements', 'mmr'),\n",
+              " ('mmr', 'went'),\n",
+              " ('went', 'went'),\n",
+              " ('went', 'lol'),\n",
+              " ('lol', 'amid'),\n",
+              " ('amid', 'measles'),\n",
+              " ('measles', 'outbreak'),\n",
+              " ('outbreak', 'vaccines'),\n",
+              " ('vaccines', 'teachers'),\n",
+              " ('teachers', 'arent'),\n",
+              " ('arent', 'required'),\n",
+              " ('required', 'much'),\n",
+              " ('much', 'attention'),\n",
+              " ('attention', 'ongoing'),\n",
+              " ('ongoing', 'measles'),\n",
+              " ('measles', 'url'),\n",
+              " ('url', 'user'),\n",
+              " ('user', 'user'),\n",
+              " ('user', 'user'),\n",
+              " ('user', 'user'),\n",
+              " ('user', 'user'),\n",
+              " ('user', 'url'),\n",
+              " ('url', 'measles'),\n",
+              " ('measles', 'threat'),\n",
+              " ('threat', 'improve'),\n",
+              " ('improve', 'mood'),\n",
+              " ('mood', 'energy'),\n",
+              " ('energy', 'immunity'),\n",
+              " ('immunity', 'cardio'),\n",
+              " ('cardio', 'health'),\n",
+              " ('health', '15'),\n",
+              " ('15', 'kit'),\n",
+              " ('kit', 'profit'),\n",
+              " ('profit', 'user'),\n",
+              " ('user', 'thru'),\n",
+              " ('thru', '1111'),\n",
+              " ('1111', 'url'),\n",
+              " ('url', 'mt'),\n",
+              " ('mt', 'user'),\n",
+              " ('user', 'new'),\n",
+              " ('new', 'bill'),\n",
+              " ('bill', 'end'),\n",
+              " ('end', 'exemptions'),\n",
+              " ('exemptions', '4personal'),\n",
+              " ('4personal', 'religious'),\n",
+              " ('religious', 'url'),\n",
+              " ('url', 'via'),\n",
+              " ('via', 'user'),\n",
+              " ('user', 'url'),\n",
+              " ('url', 'autism'),\n",
+              " ('autism', 'immunizations'),\n",
+              " ('immunizations', 'vaccinate'),\n",
+              " ('vaccinate', 'url'),\n",
+              " ('url', 'bart'),\n",
+              " ('bart', 'riders'),\n",
+              " ('riders', 'warned'),\n",
+              " ('warned', 'measles'),\n",
+              " ('measles', 'infection'),\n",
+              " ('infection', 'contagious'),\n",
+              " ('contagious', 'passenger'),\n",
+              " ('passenger', 'oakland'),\n",
+              " ('oakland', 'cbs'),\n",
+              " ('cbs', 'sf'),\n",
+              " ('sf', 'bay'),\n",
+              " ('bay', 'area'),\n",
+              " ('area', 'rapid'),\n",
+              " ('rapid', 'transit'),\n",
+              " ('transit', 'url'),\n",
+              " ('url', 'user'),\n",
+              " ('user', 'us'),\n",
+              " ('us', 'cases'),\n",
+              " ('cases', 'hit'),\n",
+              " ('hit', '15year'),\n",
+              " ('15year', 'high'),\n",
+              " ('high', 'far'),\n",
+              " ('far', 'year'),\n",
+              " ('year', '118'),\n",
+              " ('118', 'cases'),\n",
+              " ('cases', 'measles'),\n",
+              " ('measles', 'reported'),\n",
+              " ('reported', 'unit'),\n",
+              " ('unit', 'url'),\n",
+              " ('url', 'pull'),\n",
+              " ('pull', 'myxx'),\n",
+              " ('myxx', 'nightlife'),\n",
+              " ('nightlife', 'stint'),\n",
+              " ('stint', 't'),\n",
+              " ('t', 'performing'),\n",
+              " ('performing', 'live'),\n",
+              " ('live', 'hosted'),\n",
+              " ('hosted', 'user'),\n",
+              " ('user', 'url'),\n",
+              " ('url', 'cdc'),\n",
+              " ('cdc', 'eyeing'),\n",
+              " ('eyeing', 'bird'),\n",
+              " ('bird', 'flu'),\n",
+              " ('flu', 'vaccine'),\n",
+              " ('vaccine', 'humans'),\n",
+              " ('humans', 'though'),\n",
+              " ('though', 'risk'),\n",
+              " ('risk', 'low'),\n",
+              " ('low', 'federal'),\n",
+              " ('federal', 'officials'),\n",
+              " ('officials', 'said'),\n",
+              " ('said', 'wednesday'),\n",
+              " ('wednesday', 'theyre'),\n",
+              " ('theyre', 'taking'),\n",
+              " ('taking', 'steps'),\n",
+              " ('steps', 'url'),\n",
+              " ('url', 'involved'),\n",
+              " ('involved', 'fight'),\n",
+              " ('fight', 'preventable'),\n",
+              " ('preventable', 'diseases'),\n",
+              " ('diseases', 'tenure'),\n",
+              " ('tenure', 'track'),\n",
+              " ('track', 'opening'),\n",
+              " ('opening', 'user'),\n",
+              " ('user', 'url'),\n",
+              " ('url', 'user'),\n",
+              " ('user', 'im'),\n",
+              " ('im', 'vaccinating'),\n",
+              " ('vaccinating', 'kids'),\n",
+              " ('kids', 'lol'),\n",
+              " ('lol', 'alleged'),\n",
+              " ('alleged', 'victim'),\n",
+              " ('victim', 'reviewing'),\n",
+              " ('reviewing', 'immunity'),\n",
+              " ('immunity', 'paperwork'),\n",
+              " ('paperwork', 'resume'),\n",
+              " ('resume', 'testimony'),\n",
+              " ('testimony', 'wo'),\n",
+              " ('wo', 'fear'),\n",
+              " ('fear', 'blackmail'),\n",
+              " ('blackmail', 'prosecution'),\n",
+              " ('prosecution', 'thanksuser'),\n",
+              " ('thanksuser', 'crystal'),\n",
+              " ('crystal', 'clear'),\n",
+              " ('clear', 'lack'),\n",
+              " ('lack', 'evidence'),\n",
+              " ('evidence', 'linking'),\n",
+              " ('linking', 'mmr'),\n",
+              " ('mmr', 'autism'),\n",
+              " ('autism', 'noticed'),\n",
+              " ('noticed', 'user'),\n",
+              " ('user', 'giving'),\n",
+              " ('giving', 'dvds'),\n",
+              " ('dvds', 'vaccinating'),\n",
+              " ('vaccinating', 'children'),\n",
+              " ('children', 'bad'),\n",
+              " ('bad', 'hey'),\n",
+              " ('hey', 'nowuser'),\n",
+              " ('nowuser', 'mixmasterrods'),\n",
+              " ('mixmasterrods', 'upstairs'),\n",
+              " ('upstairs', 'lounge'),\n",
+              " ('lounge', 'url'),\n",
+              " ('url', 'seriously'),\n",
+              " ('seriously', 'dont'),\n",
+              " ('dont', 'want'),\n",
+              " ('want', 'child'),\n",
+              " ('child', 'antivaccination'),\n",
+              " ('antivaccination', 'movement'),\n",
+              " ('movement', 'ended'),\n",
+              " ('ended', 'terrifying'),\n",
+              " ('terrifying', 'user'),\n",
+              " ('user', 'user'),\n",
+              " ('user', 'user'),\n",
+              " ('user', 'epidemic'),\n",
+              " ('epidemic', 'enterovirus'),\n",
+              " ('enterovirus', 'mumps'),\n",
+              " ('mumps', 'now'),\n",
+              " ('now', 'measles'),\n",
+              " ('measles', 'drug'),\n",
+              " ('drug', 'resistant'),\n",
+              " ('resistant', 'tb'),\n",
+              " ('tb', 'next'),\n",
+              " ('next', 'said'),\n",
+              " ('said', 'wasnt'),\n",
+              " ('wasnt', 'gone'),\n",
+              " ('gone', 'shit'),\n",
+              " ('shit', 'lol'),\n",
+              " ('lol', 'looked'),\n",
+              " ('looked', 'proved'),\n",
+              " ('proved', 'wrong'),\n",
+              " ('wrong', 'baby'),\n",
+              " ('baby', 'url'),\n",
+              " ('url', 'flu'),\n",
+              " ('flu', 'shots'),\n",
+              " ('shots', 'school'),\n",
+              " ('school', 'boost'),\n",
+              " ('boost', 'vaccination'),\n",
+              " ('vaccination', 'rates'),\n",
+              " ('rates', 'offering'),\n",
+              " ('offering', 'flu'),\n",
+              " ('flu', 'shots'),\n",
+              " ('shots', 'elementary'),\n",
+              " ('elementary', 'schools'),\n",
+              " ('schools', 'reduce'),\n",
+              " ('reduce', 'number'),\n",
+              " ('number', 'url'),\n",
+              " ('url', 'user'),\n",
+              " ('user', '1'),\n",
+              " ('1', 'marin'),\n",
+              " ('marin', 'county'),\n",
+              " ('county', 'school'),\n",
+              " ('school', 'board'),\n",
+              " ('board', 'sides'),\n",
+              " ('sides', 'young'),\n",
+              " ('young', 'leukemia'),\n",
+              " ('leukemia', 'patient'),\n",
+              " ('patient', 'vaccinations'),\n",
+              " ('vaccinations', 'url'),\n",
+              " ('url', 'still'),\n",
+              " ('still', 'running'),\n",
+              " ('running', 'niggas'),\n",
+              " ('niggas', 'til'),\n",
+              " ('til', 'death'),\n",
+              " ('death', 'dibiasimb'),\n",
+              " ('dibiasimb', 'user'),\n",
+              " ('user', 'url'),\n",
+              " ('url', 'user'),\n",
+              " ('user', 'yeah'),\n",
+              " ('yeah', 'ill'),\n",
+              " ('ill', 'stick'),\n",
+              " ('stick', 'regular'),\n",
+              " ('regular', 'vaccines'),\n",
+              " ('vaccines', 'oh'),\n",
+              " ('oh', 'wait'),\n",
+              " ('wait', 'gives'),\n",
+              " ('gives', 'autism'),\n",
+              " ('autism', 'user'),\n",
+              " ('user', 'antivaccine'),\n",
+              " ('antivaccine', 'people'),\n",
+              " ('people', 'want'),\n",
+              " ('want', 'control'),\n",
+              " ('control', 'people'),\n",
+              " ('people', 'fear'),\n",
+              " ('fear', 'weaken'),\n",
+              " ('weaken', 'herd'),\n",
+              " ('herd', 'immunityso'),\n",
+              " ('immunityso', 'anyone'),\n",
+              " ('anyone', 'knows'),\n",
+              " ('knows', 'mind'),\n",
+              " ('mind', 'control'),\n",
+              " ('control', 'important'),\n",
+              " ('important', 'user'),\n",
+              " ('user', 'measles'),\n",
+              " ('measles', 'update'),\n",
+              " ('update', 'user'),\n",
+              " ('user', 'says'),\n",
+              " ('says', 'working'),\n",
+              " ('working', 'w'),\n",
+              " ('w', 'user'),\n",
+              " ('user', 'url'),\n",
+              " ('url', 'dont'),\n",
+              " ('dont', 'think'),\n",
+              " ('think', 'will'),\n",
+              " ('will', 'understand'),\n",
+              " ('understand', 'peoples'),\n",
+              " ('peoples', 'reasons'),\n",
+              " ('reasons', 'getting'),\n",
+              " ('getting', 'vaccinated'),\n",
+              " ('vaccinated', 'vaccinating'),\n",
+              " ('vaccinating', 'kids'),\n",
+              " ('kids', 'explain'),\n",
+              " ('explain', 'cia'),\n",
+              " ('cia', 'vaccination'),\n",
+              " ('vaccination', 'campaigns'),\n",
+              " ('campaigns', 'spy'),\n",
+              " ('spy', 'ops'),\n",
+              " ('ops', 'url'),\n",
+              " ('url', 'via'),\n",
+              " ('via', 'user'),\n",
+              " ('user', 'harm'),\n",
+              " ('harm', 'protected'),\n",
+              " ('protected', 'medic'),\n",
+              " ('medic', 'status'),\n",
+              " ('status', 'ruse'),\n",
+              " ('ruse', 'will'),\n",
+              " ('will', 'linger'),\n",
+              " ('linger', 'measles'),\n",
+              " ('measles', 'outbreak'),\n",
+              " ('outbreak', 'prompts'),\n",
+              " ('prompts', 'vaccination'),\n",
+              " ('vaccination', 'debate'),\n",
+              " ('debate', 'political'),\n",
+              " ('political', 'debate'),\n",
+              " ('debate', 'rages'),\n",
+              " ('rages', 'measles'),\n",
+              " ('measles', 'outbreak'),\n",
+              " ('outbreak', 'spreads'),\n",
+              " ('spreads', 'url'),\n",
+              " ('url', 'people'),\n",
+              " ('people', 'need'),\n",
+              " ('need', 'children'),\n",
+              " ('children', 'vaccinated'),\n",
+              " ('vaccinated', 'bad'),\n",
+              " ('bad', 'diseases'),\n",
+              " ('diseases', 'coming'),\n",
+              " ('coming', 'back'),\n",
+              " ('back', 'vaccine'),\n",
+              " ('vaccine', 'brain'),\n",
+              " ('brain', 'damage'),\n",
+              " ('damage', 'cover'),\n",
+              " ('cover', 'implodes'),\n",
+              " ('implodes', 'url'),\n",
+              " ('url', 'user'),\n",
+              " ('user', 'user'),\n",
+              " ('user', 'discussing'),\n",
+              " ('discussing', 'user'),\n",
+              " ('user', 'vaccines'),\n",
+              " ('vaccines', 'childrens'),\n",
+              " ('childrens', 'clinic'),\n",
+              " ('clinic', 'url'),\n",
+              " ('url', 'know'),\n",
+              " ('know', 'infected'),\n",
+              " ('infected', 'measles'),\n",
+              " ('measles', 'airborne'),\n",
+              " ('airborne', 'transmission'),\n",
+              " ('transmission', 'wtf'),\n",
+              " ('wtf', 'access'),\n",
+              " ('access', 'fitchburg'),\n",
+              " ('fitchburg', 'school'),\n",
+              " ('school', 'limited'),\n",
+              " ('limited', 'amid'),\n",
+              " ('amid', 'measles'),\n",
+              " ('measles', 'scare'),\n",
+              " ('scare', 'url'),\n",
+              " ('url', 'read'),\n",
+              " ('read', 'neighbors'),\n",
+              " ('neighbors', 'user'),\n",
+              " ('user', 'user'),\n",
+              " ('user', 'deadly'),\n",
+              " ('deadly', 'kids'),\n",
+              " ('kids', 'allergies'),\n",
+              " ('allergies', 'joke'),\n",
+              " ('joke', 'deadly'),\n",
+              " ('deadly', 'child'),\n",
+              " ('child', 'measles'),\n",
+              " ('measles', 'vaccinate'),\n",
+              " ('vaccinate', 'every1'),\n",
+              " ('every1', 'measles'),\n",
+              " ('measles', '717'),\n",
+              " ('717', 'user'),\n",
+              " ('user', 'topic'),\n",
+              " ('topic', 'makes'),\n",
+              " ('makes', 'scared'),\n",
+              " ('scared', 'bring'),\n",
+              " ('bring', 'kids'),\n",
+              " ('kids', 'modern'),\n",
+              " ('modern', 'society'),\n",
+              " ('society', 'time'),\n",
+              " ('time', 'start'),\n",
+              " ('start', 'looking'),\n",
+              " ('looking', 'private'),\n",
+              " ('private', 'schools'),\n",
+              " ('schools', 'mandate'),\n",
+              " ('mandate', 'vaccines'),\n",
+              " ('vaccines', 'user'),\n",
+              " ('user', 'stop'),\n",
+              " ('stop', 'blaming'),\n",
+              " ('blaming', 'first'),\n",
+              " ('first', 'now'),\n",
+              " ('now', 'diseasesbrought'),\n",
+              " ('diseasesbrought', 'ancestors'),\n",
+              " ('ancestors', 'url'),\n",
+              " ('url', 'already'),\n",
+              " ('already', 'cure'),\n",
+              " ('cure', 'measles'),\n",
+              " ('measles', 'user'),\n",
+              " ('user', 'user'),\n",
+              " ('user', 'cant'),\n",
+              " ('cant', 'attend'),\n",
+              " ('attend', 'school'),\n",
+              " ('school', 'unless'),\n",
+              " ('unless', 'vaccinated'),\n",
+              " ('vaccinated', 'dont'),\n",
+              " ('dont', 'vaccinate'),\n",
+              " ('vaccinate', 'children'),\n",
+              " ('children', 'shitty'),\n",
+              " ('shitty', 'parent'),\n",
+              " ('parent', 'end'),\n",
+              " ('end', 'story'),\n",
+              " ('story', 'citizen'),\n",
+              " ('citizen', 'kingdom'),\n",
+              " ('kingdom', 'god'),\n",
+              " ('god', 'assignment'),\n",
+              " ('assignment', 'diplomatic'),\n",
+              " ('diplomatic', 'immunity'),\n",
+              " ('immunity', 'fear'),\n",
+              " ('fear', 'man'),\n",
+              " ('man', 'top'),\n",
+              " ('top', 'colorado'),\n",
+              " ('colorado', 'doctor'),\n",
+              " ('doctor', 'says'),\n",
+              " ('says', 'adults'),\n",
+              " ('adults', 'worried'),\n",
+              " ('worried', 'measles'),\n",
+              " ('measles', 'vaccination'),\n",
+              " ('vaccination', 'measles'),\n",
+              " ('measles', 'outbreak'),\n",
+              " ('outbreak', 'url'),\n",
+              " ('url', 'user'),\n",
+              " ('user', 'nah'),\n",
+              " ('nah', 'idiot'),\n",
+              " ('idiot', 'someone'),\n",
+              " ('someone', 'doesnt'),\n",
+              " ('doesnt', 'allow'),\n",
+              " ('allow', 'kids'),\n",
+              " ('kids', 'vaccinated'),\n",
+              " ('vaccinated', 'kids'),\n",
+              " ('kids', 'need'),\n",
+              " ('need', 'vaccinations'),\n",
+              " ('vaccinations', 'late'),\n",
+              " ('late', '19thcentury'),\n",
+              " ('19thcentury', 'maps'),\n",
+              " ('maps', 'show'),\n",
+              " ('show', 'measles'),\n",
+              " ('measles', 'mortality'),\n",
+              " ('mortality', 'vaccines'),\n",
+              " ('vaccines', 'url'),\n",
+              " ('url', 'url'),\n",
+              " ('url', 'measles'),\n",
+              " ('measles', 'fears'),\n",
+              " ('fears', 'spread'),\n",
+              " ('spread', 'nj'),\n",
+              " ('nj', 'amid'),\n",
+              " ('amid', 'suspected'),\n",
+              " ('suspected', 'case'),\n",
+              " ('case', 'url'),\n",
+              " ('url', 'baby'),\n",
+              " ('baby', 'vaccination'),\n",
+              " ('vaccination', 'day'),\n",
+              " ('day', 'shes'),\n",
+              " ('shes', 'getting'),\n",
+              " ('getting', 'measles'),\n",
+              " ('measles', 'one'),\n",
+              " ('one', 'early'),\n",
+              " ('early', 'fuckwits'),\n",
+              " ('fuckwits', 'chicago'),\n",
+              " ('chicago', 'dont'),\n",
+              " ('dont', 'vaccinate'),\n",
+              " ('vaccinate', 'ensuring'),\n",
+              " ('ensuring', 'problem'),\n",
+              " ('problem', 'loving'),\n",
+              " ('loving', 'measles'),\n",
+              " ('measles', 'poster'),\n",
+              " ('poster', 'making'),\n",
+              " ('making', 'spirit'),\n",
+              " ('spirit', 'today'),\n",
+              " ('today', 'url'),\n",
+              " ('url', 'baseball'),\n",
+              " ('baseball', 'coach'),\n",
+              " ('coach', 'santa'),\n",
+              " ('santa', 'monica'),\n",
+              " ('monica', 'high'),\n",
+              " ('high', 'contracts'),\n",
+              " ('contracts', 'measles'),\n",
+              " ('measles', 'url'),\n",
+              " ('url', 'im'),\n",
+              " ('im', 'sick'),\n",
+              " ('sick', 'hearing'),\n",
+              " ('hearing', 'people'),\n",
+              " ('people', 'vaccinating'),\n",
+              " ('vaccinating', 'children'),\n",
+              " ('children', 'sick'),\n",
+              " ('sick', 'hearing'),\n",
+              " ('hearing', 'peoples'),\n",
+              " ('peoples', 'freedom'),\n",
+              " ('freedom', 'insane'),\n",
+              " ('insane', 'dangerous'),\n",
+              " ('dangerous', 'things'),\n",
+              " ('things', 'one'),\n",
+              " ('one', 'risky'),\n",
+              " ('risky', 'childrena'),\n",
+              " ('childrena', 'vaccination'),\n",
+              " ('vaccination', 'going'),\n",
+              " ('going', 'school'),\n",
+              " ('school', 'car'),\n",
+              " ('car', 'odds'),\n",
+              " ('odds', 'kid'),\n",
+              " ('kid', 'measles'),\n",
+              " ('measles', 'uses'),\n",
+              " ('uses', 'lab'),\n",
+              " ('lab', 'room'),\n",
+              " ('room', 'user'),\n",
+              " ('user', 'user'),\n",
+              " ('user', 'parents'),\n",
+              " ('parents', 'refuse'),\n",
+              " ('refuse', 'kids'),\n",
+              " ('kids', 'immunized'),\n",
+              " ('immunized', 'charged'),\n",
+              " ('charged', 'reckless'),\n",
+              " ('reckless', 'endangerment'),\n",
+              " ('endangerment', 'kid'),\n",
+              " ('kid', 'gets'),\n",
+              " ('gets', 'another'),\n",
+              " ('another', 'sick'),\n",
+              " ('sick', 'rt'),\n",
+              " ('rt', 'user'),\n",
+              " ('user', 'vaccinations'),\n",
+              " ('vaccinations', 'measles'),\n",
+              " ('measles', 'medicaid'),\n",
+              " ('medicaid', 'expansion'),\n",
+              " ('expansion', 'url'),\n",
+              " ('url', 'user'),\n",
+              " ('user', 'centers'),\n",
+              " ('centers', 'disease'),\n",
+              " ('disease', 'control'),\n",
+              " ('control', 'years'),\n",
+              " ('years', 'flu'),\n",
+              " ('flu', 'vaccine'),\n",
+              " ('vaccine', 'doesnt'),\n",
+              " ('doesnt', 'work'),\n",
+              " ('work', 'url'),\n",
+              " ('url', 'user'),\n",
+              " ('user', 'ty'),\n",
+              " ('ty', 'fought'),\n",
+              " ('fought', 'hard'),\n",
+              " ('hard', '2'),\n",
+              " ('2', 'vaccinate'),\n",
+              " ('vaccinate', 'kids'),\n",
+              " ('kids', 'yrs'),\n",
+              " ('yrs', 'ppls'),\n",
+              " ('ppls', 'judgements'),\n",
+              " ('judgements', 'dont'),\n",
+              " ('dont', 'hurt'),\n",
+              " ('hurt', 'smart'),\n",
+              " ('smart', 'vaccinate'),\n",
+              " ('vaccinate', 'people'),\n",
+              " ('people', 'user'),\n",
+              " ('user', '15'),\n",
+              " ('15', 'tarrant'),\n",
+              " ('tarrant', 'county'),\n",
+              " ('county', 'cases'),\n",
+              " ('cases', 'five'),\n",
+              " ('five', 'denton'),\n",
+              " ('denton', 'co'),\n",
+              " ('co', 'traced'),\n",
+              " ('traced', 'megachurch'),\n",
+              " ('megachurch', 'url'),\n",
+              " ('url', 'hb1251'),\n",
+              " ('hb1251', 'new'),\n",
+              " ('new', 'providing'),\n",
+              " ('providing', 'health'),\n",
+              " ('health', 'insurance'),\n",
+              " ('insurance', 'coverage'),\n",
+              " ('coverage', 'immunizations'),\n",
+              " ('immunizations', 'administered'),\n",
+              " ('administered', 'pharmacy'),\n",
+              " ('pharmacy', 'pharmacist'),\n",
+              " ('pharmacist', 'url'),\n",
+              " ('url', 'a4077'),\n",
+              " ('a4077', 'new'),\n",
+              " ('new', 'revises'),\n",
+              " ('revises', 'codifies'),\n",
+              " ('codifies', 'schedule'),\n",
+              " ('schedule', 'childhood'),\n",
+              " ('childhood', 'lead'),\n",
+              " ('lead', 'screening'),\n",
+              " ('screening', 'along'),\n",
+              " ('along', 'immunization'),\n",
+              " ('immunization', 'wellness'),\n",
+              " ('wellness', 'url'),\n",
+              " ('url', 'fridays'),\n",
+              " ('fridays', 'immunity'),\n",
+              " ('immunity', 'challenge'),\n",
+              " ('challenge', 'walking'),\n",
+              " ('walking', 'backwards'),\n",
+              " ('backwards', 'safe'),\n",
+              " ('safe', 'time'),\n",
+              " ('time', 'sure'),\n",
+              " ('sure', 'watch'),\n",
+              " ('watch', 'back'),\n",
+              " ('back', '70s'),\n",
+              " ('70s', 'healthnut'),\n",
+              " ('healthnut', 'parents'),\n",
+              " ('parents', 'didnt'),\n",
+              " ('didnt', 'vaccinate'),\n",
+              " ('vaccinate', 'childhood'),\n",
+              " ('childhood', 'url'),\n",
+              " ('url', 'user'),\n",
+              " ('user', 'people'),\n",
+              " ('people', 'complain'),\n",
+              " ('complain', 'live'),\n",
+              " ('live', 'longer'),\n",
+              " ('longer', 'releasing'),\n",
+              " ('releasing', 'tension'),\n",
+              " ('tension', 'increases'),\n",
+              " ('increases', 'immunity'),\n",
+              " ('immunity', 'improves'),\n",
+              " ('improves', 'overall'),\n",
+              " ('overall', 'health'),\n",
+              " ('health', 'well'),\n",
+              " ('well', 'good'),\n",
+              " ('good', 'news'),\n",
+              " ('news', 'austerity'),\n",
+              " ('austerity', 'vaccine'),\n",
+              " ('vaccine', 'crisis'),\n",
+              " ('crisis', 'parasite'),\n",
+              " ('parasite', 'pandemic'),\n",
+              " ('pandemic', 'potential'),\n",
+              " ('potential', 'drains'),\n",
+              " ('drains', 'life'),\n",
+              " ('life', 'killing'),\n",
+              " ('killing', 'slowly'),\n",
+              " ('slowly', 'user'),\n",
+              " ('user', 'compensation'),\n",
+              " ('compensation', 'autism'),\n",
+              " ('autism', 'brain'),\n",
+              " ('brain', 'damage'),\n",
+              " ('damage', 'illnesses'),\n",
+              " ('illnesses', 'vaccine'),\n",
+              " ('vaccine', 'court'),\n",
+              " ('court', 'via'),\n",
+              " ('via', 'user'),\n",
+              " ('user', 'url'),\n",
+              " ('url', 'seek'),\n",
+              " ('seek', 'bear'),\n",
+              " ('bear', 'w'),\n",
+              " ('w', 'see'),\n",
+              " ('see', 'state'),\n",
+              " ('state', 'ppls'),\n",
+              " ('ppls', 'hearts'),\n",
+              " ('hearts', 'url'),\n",
+              " ('url', 'user'),\n",
+              " ('user', 'conservative'),\n",
+              " ('conservative', 'neurosurgeon'),\n",
+              " ('neurosurgeon', 'ben'),\n",
+              " ('ben', 'carson'),\n",
+              " ('carson', 'says'),\n",
+              " ('says', 'vaccines'),\n",
+              " ('vaccines', 'public'),\n",
+              " ...]"
+            ]
+          },
+          "execution_count": 64,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "## to help me get more meaning to each word, I am going to use bigrams and trigrams.\n",
+        "words= \" \".join(df_train[\"clean_tweet\"])\n",
+        "\n",
+        "tokens= nltk.word_tokenize(words)\n",
+        "\n",
+        "bigrams= list(nltk.bigrams(tokens))\n",
+        "\n",
+        "bigrams"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "wxKxsv8hdnt1",
+        "outputId": "b0a91c00-3d09-44f9-9881-4ae46c51bfde"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "[('amp', 'big', 'homie'),\n",
+              " ('big', 'homie', 'meanboy3000'),\n",
+              " ('homie', 'meanboy3000', 'stegman'),\n",
+              " ('meanboy3000', 'stegman', 'st'),\n",
+              " ('stegman', 'st', 'url'),\n",
+              " ('st', 'url', 'im'),\n",
+              " ('url', 'im', '100'),\n",
+              " ('im', '100', 'thinking'),\n",
+              " ('100', 'thinking', 'devoting'),\n",
+              " ('thinking', 'devoting', 'career'),\n",
+              " ('devoting', 'career', 'proving'),\n",
+              " ('career', 'proving', 'autism'),\n",
+              " ('proving', 'autism', 'isnt'),\n",
+              " ('autism', 'isnt', 'caused'),\n",
+              " ('isnt', 'caused', 'vaccines'),\n",
+              " ('caused', 'vaccines', 'due'),\n",
+              " ('vaccines', 'due', 'idiotic'),\n",
+              " ('due', 'idiotic', 'posts'),\n",
+              " ('idiotic', 'posts', 'ive'),\n",
+              " ('posts', 'ive', 'seen'),\n",
+              " ('ive', 'seen', 'world'),\n",
+              " ('seen', 'world', 'autism'),\n",
+              " ('world', 'autism', 'day'),\n",
+              " ('autism', 'day', 'vaccines'),\n",
+              " ('day', 'vaccines', 'vaccinate'),\n",
+              " ('vaccines', 'vaccinate', 'child'),\n",
+              " ('vaccinate', 'child', 'mean'),\n",
+              " ('child', 'mean', 'immunize'),\n",
+              " ('mean', 'immunize', 'kid'),\n",
+              " ('immunize', 'kid', 'something'),\n",
+              " ('kid', 'something', 'wont'),\n",
+              " ('something', 'wont', 'secretly'),\n",
+              " ('wont', 'secretly', 'kill'),\n",
+              " ('secretly', 'kill', 'years'),\n",
+              " ('kill', 'years', 'line'),\n",
+              " ('years', 'line', 'im'),\n",
+              " ('line', 'im', 'dont'),\n",
+              " ('im', 'dont', 'trust'),\n",
+              " ('dont', 'trust', 'thanks'),\n",
+              " ('trust', 'thanks', 'user'),\n",
+              " ('thanks', 'user', 'catch'),\n",
+              " ('user', 'catch', 'performing'),\n",
+              " ('catch', 'performing', 'la'),\n",
+              " ('performing', 'la', 'nuit'),\n",
+              " ('la', 'nuit', 'nyc'),\n",
+              " ('nuit', 'nyc', '1134'),\n",
+              " ('nyc', '1134', '1st'),\n",
+              " ('1134', '1st', 'ave'),\n",
+              " ('1st', 'ave', 'show'),\n",
+              " ('ave', 'show', 'starts'),\n",
+              " ('show', 'starts', '6'),\n",
+              " ('starts', '6', 'url'),\n",
+              " ('6', 'url', 'user'),\n",
+              " ('url', 'user', 'nearly'),\n",
+              " ('user', 'nearly', '67'),\n",
+              " ('nearly', '67', 'year'),\n",
+              " ('67', 'year', 'old'),\n",
+              " ('year', 'old', 'study'),\n",
+              " ('old', 'study', 'mental'),\n",
+              " ('study', 'mental', 'health'),\n",
+              " ('mental', 'health', 'studies'),\n",
+              " ('health', 'studies', 'vaccines'),\n",
+              " ('studies', 'vaccines', 'relatively'),\n",
+              " ('vaccines', 'relatively', 'infancies'),\n",
+              " ('relatively', 'infancies', 'refuted'),\n",
+              " ('infancies', 'refuted', 'study'),\n",
+              " ('refuted', 'study', '95000'),\n",
+              " ('study', '95000', 'kids'),\n",
+              " ('95000', 'kids', 'finds'),\n",
+              " ('kids', 'finds', 'link'),\n",
+              " ('finds', 'link', 'mmr'),\n",
+              " ('link', 'mmr', 'vaccine'),\n",
+              " ('mmr', 'vaccine', 'autism'),\n",
+              " ('vaccine', 'autism', 'url'),\n",
+              " ('autism', 'url', 'psa'),\n",
+              " ('url', 'psa', 'vaccinate'),\n",
+              " ('psa', 'vaccinate', 'fucking'),\n",
+              " ('vaccinate', 'fucking', 'kids'),\n",
+              " ('fucking', 'kids', 'coughing'),\n",
+              " ('kids', 'coughing', 'extra'),\n",
+              " ('coughing', 'extra', 'shuttle'),\n",
+              " ('extra', 'shuttle', 'everyone'),\n",
+              " ('shuttle', 'everyone', 'thinks'),\n",
+              " ('everyone', 'thinks', 'measles'),\n",
+              " ('thinks', 'measles', 'aids'),\n",
+              " ('measles', 'aids', 'vaccine'),\n",
+              " ('aids', 'vaccine', 'created'),\n",
+              " ('vaccine', 'created', 'oregon'),\n",
+              " ('created', 'oregon', 'health'),\n",
+              " ('oregon', 'health', 'amp'),\n",
+              " ('health', 'amp', 'science'),\n",
+              " ('amp', 'science', 'university'),\n",
+              " ('science', 'university', 'may'),\n",
+              " ('university', 'may', 'clear'),\n",
+              " ('may', 'clear', 'virus'),\n",
+              " ('clear', 'virus', 'body'),\n",
+              " ('virus', 'body', 'url'),\n",
+              " ('body', 'url', 'url'),\n",
+              " ('url', 'url', 'user'),\n",
+              " ('url', 'user', 'point'),\n",
+              " ('user', 'point', '2'),\n",
+              " ('point', '2', 'text'),\n",
+              " ('2', 'text', 'butwbon'),\n",
+              " ('text', 'butwbon', 'jovi'),\n",
+              " ('butwbon', 'jovi', 'cover'),\n",
+              " ('jovi', 'cover', 'playin'),\n",
+              " ('cover', 'playin', 'alibis'),\n",
+              " ('playin', 'alibis', 'hope'),\n",
+              " ('alibis', 'hope', 'u'),\n",
+              " ('hope', 'u', 'come'),\n",
+              " ('u', 'come', '2'),\n",
+              " ('come', '2', 'mmr'),\n",
+              " ('2', 'mmr', 'bbquser'),\n",
+              " ('mmr', 'bbquser', 'will'),\n",
+              " ('bbquser', 'will', 'b'),\n",
+              " ('will', 'b', 'prediction'),\n",
+              " ('b', 'prediction', 'vaccine'),\n",
+              " ('prediction', 'vaccine', 'exemption'),\n",
+              " ('vaccine', 'exemption', 'arizona'),\n",
+              " ('exemption', 'arizona', 'will'),\n",
+              " ('arizona', 'will', 'end'),\n",
+              " ('will', 'end', 'soon'),\n",
+              " ('end', 'soon', 'much'),\n",
+              " ('soon', 'much', 'money'),\n",
+              " ('much', 'money', 'lost'),\n",
+              " ('money', 'lost', 'big'),\n",
+              " ('lost', 'big', 'pharma'),\n",
+              " ('big', 'pharma', 'getting'),\n",
+              " ('pharma', 'getting', 'vaccines'),\n",
+              " ('getting', 'vaccines', 'cheryl'),\n",
+              " ('vaccines', 'cheryl', 'southern'),\n",
+              " ('cheryl', 'southern', 'nevada'),\n",
+              " ('southern', 'nevada', 'health'),\n",
+              " ('nevada', 'health', 'district'),\n",
+              " ('health', 'district', 'url'),\n",
+              " ('district', 'url', '1mug'),\n",
+              " ('url', '1mug', 'noche'),\n",
+              " ('1mug', 'noche', 'user'),\n",
+              " ('noche', 'user', 'mad'),\n",
+              " ('user', 'mad', 'hatter'),\n",
+              " ('mad', 'hatter', 'url'),\n",
+              " ('hatter', 'url', 'got'),\n",
+              " ('url', 'got', 'influenza'),\n",
+              " ('got', 'influenza', 'vaccine'),\n",
+              " ('influenza', 'vaccine', 'purdue'),\n",
+              " ('vaccine', 'purdue', 'university'),\n",
+              " ('purdue', 'university', 'student'),\n",
+              " ('university', 'student', 'health'),\n",
+              " ('student', 'health', 'push'),\n",
+              " ('health', 'push', 'user'),\n",
+              " ('push', 'user', 'url'),\n",
+              " ('user', 'url', 'sb121'),\n",
+              " ('url', 'sb121', 'enroll'),\n",
+              " ('sb121', 'enroll', 'meningococcal'),\n",
+              " ('enroll', 'meningococcal', 'diseasepupils'),\n",
+              " ('meningococcal', 'diseasepupils', 'immunized'),\n",
+              " ('diseasepupils', 'immunized', 'recommended'),\n",
+              " ('immunized', 'recommended', 'age'),\n",
+              " ('recommended', 'age', 'url'),\n",
+              " ('age', 'url', 'increasing'),\n",
+              " ('url', 'increasing', 'number'),\n",
+              " ('increasing', 'number', 'parents'),\n",
+              " ('number', 'parents', 'skip'),\n",
+              " ('parents', 'skip', 'vaccinations'),\n",
+              " ('skip', 'vaccinations', 'childrencolumbia'),\n",
+              " ('vaccinations', 'childrencolumbia', 'missourian'),\n",
+              " ('childrencolumbia', 'missourian', 'url'),\n",
+              " ('missourian', 'url', 'user'),\n",
+              " ('url', 'user', 'thank'),\n",
+              " ('user', 'thank', 'standing'),\n",
+              " ('thank', 'standing', 'ca'),\n",
+              " ('standing', 'ca', 'parents'),\n",
+              " ('ca', 'parents', 'children'),\n",
+              " ('parents', 'children', 'support'),\n",
+              " ('children', 'support', 'user'),\n",
+              " ('support', 'user', 'dude'),\n",
+              " ('user', 'dude', 'idc'),\n",
+              " ('dude', 'idc', 'disney'),\n",
+              " ('idc', 'disney', 'land'),\n",
+              " ('disney', 'land', 'measles'),\n",
+              " ('land', 'measles', 'means'),\n",
+              " ('measles', 'means', 'shorter'),\n",
+              " ('means', 'shorter', 'lines'),\n",
+              " ('shorter', 'lines', 'rides'),\n",
+              " ('lines', 'rides', 'im'),\n",
+              " ('rides', 'im', 'driving'),\n",
+              " ('im', 'driving', 'rn'),\n",
+              " ('driving', 'rn', 'beeftalk'),\n",
+              " ('rn', 'beeftalk', 'start'),\n",
+              " ('beeftalk', 'start', 'calf'),\n",
+              " ('start', 'calf', 'vaccinations'),\n",
+              " ('calf', 'vaccinations', 'now'),\n",
+              " ('vaccinations', 'now', 'url'),\n",
+              " ('now', 'url', 'via'),\n",
+              " ('url', 'via', 'user'),\n",
+              " ('via', 'user', 'good'),\n",
+              " ('user', 'good', 'article'),\n",
+              " ('good', 'article', 'herd'),\n",
+              " ('article', 'herd', 'health'),\n",
+              " ('herd', 'health', 'dont'),\n",
+              " ('health', 'dont', 'care'),\n",
+              " ('dont', 'care', 'user'),\n",
+              " ('care', 'user', 'says'),\n",
+              " ('user', 'says', 'probably'),\n",
+              " ('says', 'probably', 'kids'),\n",
+              " ('probably', 'kids', 'vaccinated'),\n",
+              " ('kids', 'vaccinated', 'small'),\n",
+              " ('vaccinated', 'small', 'study'),\n",
+              " ('small', 'study', 'shows'),\n",
+              " ('study', 'shows', '10'),\n",
+              " ('shows', '10', 'pts'),\n",
+              " ('10', 'pts', 'lupus'),\n",
+              " ('pts', 'lupus', 'shingles'),\n",
+              " ('lupus', 'shingles', 'vaccine'),\n",
+              " ('shingles', 'vaccine', 'safe'),\n",
+              " ('vaccine', 'safe', 'needs'),\n",
+              " ('safe', 'needs', 'confirmed'),\n",
+              " ('needs', 'confirmed', 'larger'),\n",
+              " ('confirmed', 'larger', 'study'),\n",
+              " ('larger', 'study', 'url'),\n",
+              " ('study', 'url', 'cdc'),\n",
+              " ('url', 'cdc', 'measles'),\n",
+              " ('cdc', 'measles', 'epidemic'),\n",
+              " ('measles', 'epidemic', 'poses'),\n",
+              " ('epidemic', 'poses', 'travel'),\n",
+              " ('poses', 'travel', 'risks'),\n",
+              " ('travel', 'risks', 'usatlyixdtv1'),\n",
+              " ('risks', 'usatlyixdtv1', 'yes'),\n",
+              " ('usatlyixdtv1', 'yes', 'true'),\n",
+              " ('yes', 'true', 'zombie'),\n",
+              " ('true', 'zombie', 'epidemic'),\n",
+              " ('zombie', 'epidemic', 'closing'),\n",
+              " ('epidemic', 'closing', 'us'),\n",
+              " ('closing', 'us', 'every'),\n",
+              " ('us', 'every', 'time'),\n",
+              " ('every', 'time', 'see'),\n",
+              " ('time', 'see', 'vaccinate'),\n",
+              " ('see', 'vaccinate', 'debate'),\n",
+              " ('vaccinate', 'debate', 'wonder'),\n",
+              " ('debate', 'wonder', 'one'),\n",
+              " ('wonder', 'one', 'side'),\n",
+              " ('one', 'side', 'argument'),\n",
+              " ('side', 'argument', 'even'),\n",
+              " ('argument', 'even', 'children'),\n",
+              " ('even', 'children', 'user'),\n",
+              " ('children', 'user', 'lied'),\n",
+              " ('user', 'lied', 'hid'),\n",
+              " ('lied', 'hid', 'data'),\n",
+              " ('hid', 'data', 'black'),\n",
+              " ('data', 'black', 'boys'),\n",
+              " ('black', 'boys', '340'),\n",
+              " ('boys', '340', 'uncreased'),\n",
+              " ('340', 'uncreased', 'risk'),\n",
+              " ('uncreased', 'risk', 'developing'),\n",
+              " ('risk', 'developing', 'autism'),\n",
+              " ('developing', 'autism', 'mmr'),\n",
+              " ('autism', 'mmr', 'help'),\n",
+              " ('mmr', 'help', 'user'),\n",
+              " ('help', 'user', 'vaccines'),\n",
+              " ('user', 'vaccines', 'causing'),\n",
+              " ('vaccines', 'causing', 'autism'),\n",
+              " ('causing', 'autism', 'user'),\n",
+              " ('autism', 'user', 'rarely'),\n",
+              " ('user', 'rarely', 'see'),\n",
+              " ('rarely', 'see', 'arguments'),\n",
+              " ('see', 'arguments', 'vaccination'),\n",
+              " ('arguments', 'vaccination', 'actually'),\n",
+              " ('vaccination', 'actually', 'big'),\n",
+              " ('actually', 'big', 'deal'),\n",
+              " ('big', 'deal', 'im'),\n",
+              " ('deal', 'im', 'obsessed'),\n",
+              " ('im', 'obsessed', 'w'),\n",
+              " ('obsessed', 'w', 'ebola'),\n",
+              " ('w', 'ebola', 'following'),\n",
+              " ('ebola', 'following', 'outbreak'),\n",
+              " ('following', 'outbreak', 'worlds'),\n",
+              " ('outbreak', 'worlds', 'deadliest'),\n",
+              " ('worlds', 'deadliest', 'disease'),\n",
+              " ('deadliest', 'disease', 'vaccine'),\n",
+              " ('disease', 'vaccine', 'cure'),\n",
+              " ('vaccine', 'cure', 'amp'),\n",
+              " ('cure', 'amp', '90'),\n",
+              " ('amp', '90', 'death'),\n",
+              " ('90', 'death', 'rate'),\n",
+              " ('death', 'rate', 'user'),\n",
+              " ('rate', 'user', 'joshthenewt'),\n",
+              " ('user', 'joshthenewt', 'suck'),\n",
+              " ('joshthenewt', 'suck', 'game'),\n",
+              " ('suck', 'game', 'haha'),\n",
+              " ('game', 'haha', 'well'),\n",
+              " ('haha', 'well', 'people'),\n",
+              " ('well', 'people', 'say'),\n",
+              " ('people', 'say', 'dont'),\n",
+              " ('say', 'dont', 'mmr'),\n",
+              " ('dont', 'mmr', 'eh'),\n",
+              " ('mmr', 'eh', 'dont'),\n",
+              " ('eh', 'dont', 'shake'),\n",
+              " ('dont', 'shake', 'hand'),\n",
+              " ('shake', 'hand', 'pocahontas'),\n",
+              " ('hand', 'pocahontas', 'thats'),\n",
+              " ('pocahontas', 'thats', 'probably'),\n",
+              " ('thats', 'probably', 'measles'),\n",
+              " ('probably', 'measles', 'now'),\n",
+              " ('measles', 'now', 'user'),\n",
+              " ('now', 'user', 'yes'),\n",
+              " ('user', 'yes', 'im'),\n",
+              " ('yes', 'im', 'part'),\n",
+              " ('im', 'part', 'public'),\n",
+              " ('part', 'public', 'health'),\n",
+              " ('public', 'health', 'im'),\n",
+              " ('health', 'im', 'part'),\n",
+              " ('im', 'part', 'nature'),\n",
+              " ('part', 'nature', 'feed'),\n",
+              " ('nature', 'feed', 'abandoned'),\n",
+              " ('feed', 'abandoned', 'baby'),\n",
+              " ('abandoned', 'baby', 'bird'),\n",
+              " ('baby', 'bird', 'vaccinate'),\n",
+              " ('bird', 'vaccinate', 'privileged'),\n",
+              " ('vaccinate', 'privileged', 'kids'),\n",
+              " ('privileged', 'kids', 'new'),\n",
+              " ('kids', 'new', 'studies'),\n",
+              " ('new', 'studies', 'show'),\n",
+              " ('studies', 'show', 'vaccines'),\n",
+              " ('show', 'vaccines', 'associated'),\n",
+              " ('vaccines', 'associated', 'autism'),\n",
+              " ('associated', 'autism', 'news'),\n",
+              " ('autism', 'news', 'sky'),\n",
+              " ('news', 'sky', 'blue'),\n",
+              " ('sky', 'blue', 'repetitive'),\n",
+              " ('blue', 'repetitive', 'less'),\n",
+              " ('repetitive', 'less', 'shocked'),\n",
+              " ('less', 'shocked', 'increase'),\n",
+              " ('shocked', 'increase', 'asd'),\n",
+              " ('increase', 'asd', 'even'),\n",
+              " ('asd', 'even', 'genetically'),\n",
+              " ('even', 'genetically', 'high'),\n",
+              " ('genetically', 'high', 'risk'),\n",
+              " ('high', 'risk', 'url'),\n",
+              " ('risk', 'url', 'glad'),\n",
+              " ('url', 'glad', 'got'),\n",
+              " ('glad', 'got', 'vaccinated'),\n",
+              " ('got', 'vaccinated', 'user'),\n",
+              " ('vaccinated', 'user', 'health'),\n",
+              " ('user', 'health', 'alert'),\n",
+              " ('health', 'alert', 'case'),\n",
+              " ('alert', 'case', 'meningitis'),\n",
+              " ('case', 'meningitis', 'reported'),\n",
+              " ('meningitis', 'reported', 'monmouth'),\n",
+              " ('reported', 'monmouth', 'university'),\n",
+              " ('monmouth', 'university', 'url'),\n",
+              " ('university', 'url', 'look'),\n",
+              " ('url', 'look', 'got'),\n",
+              " ('look', 'got', 'measles'),\n",
+              " ('got', 'measles', 'user'),\n",
+              " ('measles', 'user', 'user'),\n",
+              " ('user', 'user', 'defense'),\n",
+              " ('user', 'defense', 'vaccines'),\n",
+              " ('defense', 'vaccines', 'harmful'),\n",
+              " ('vaccines', 'harmful', 'american'),\n",
+              " ('harmful', 'american', 'life'),\n",
+              " ('american', 'life', 'unhealthy'),\n",
+              " ('life', 'unhealthy', 'hello'),\n",
+              " ('unhealthy', 'hello', 'ranked'),\n",
+              " ('hello', 'ranked', 'reset'),\n",
+              " ('ranked', 'reset', 'probably'),\n",
+              " ('reset', 'probably', 'bad'),\n",
+              " ('probably', 'bad', 'placements'),\n",
+              " ('bad', 'placements', 'mmr'),\n",
+              " ('placements', 'mmr', 'went'),\n",
+              " ('mmr', 'went', 'went'),\n",
+              " ('went', 'went', 'lol'),\n",
+              " ('went', 'lol', 'amid'),\n",
+              " ('lol', 'amid', 'measles'),\n",
+              " ('amid', 'measles', 'outbreak'),\n",
+              " ('measles', 'outbreak', 'vaccines'),\n",
+              " ('outbreak', 'vaccines', 'teachers'),\n",
+              " ('vaccines', 'teachers', 'arent'),\n",
+              " ('teachers', 'arent', 'required'),\n",
+              " ('arent', 'required', 'much'),\n",
+              " ('required', 'much', 'attention'),\n",
+              " ('much', 'attention', 'ongoing'),\n",
+              " ('attention', 'ongoing', 'measles'),\n",
+              " ('ongoing', 'measles', 'url'),\n",
+              " ('measles', 'url', 'user'),\n",
+              " ('url', 'user', 'user'),\n",
+              " ('user', 'user', 'user'),\n",
+              " ('user', 'user', 'user'),\n",
+              " ('user', 'user', 'user'),\n",
+              " ('user', 'user', 'url'),\n",
+              " ('user', 'url', 'measles'),\n",
+              " ('url', 'measles', 'threat'),\n",
+              " ('measles', 'threat', 'improve'),\n",
+              " ('threat', 'improve', 'mood'),\n",
+              " ('improve', 'mood', 'energy'),\n",
+              " ('mood', 'energy', 'immunity'),\n",
+              " ('energy', 'immunity', 'cardio'),\n",
+              " ('immunity', 'cardio', 'health'),\n",
+              " ('cardio', 'health', '15'),\n",
+              " ('health', '15', 'kit'),\n",
+              " ('15', 'kit', 'profit'),\n",
+              " ('kit', 'profit', 'user'),\n",
+              " ('profit', 'user', 'thru'),\n",
+              " ('user', 'thru', '1111'),\n",
+              " ('thru', '1111', 'url'),\n",
+              " ('1111', 'url', 'mt'),\n",
+              " ('url', 'mt', 'user'),\n",
+              " ('mt', 'user', 'new'),\n",
+              " ('user', 'new', 'bill'),\n",
+              " ('new', 'bill', 'end'),\n",
+              " ('bill', 'end', 'exemptions'),\n",
+              " ('end', 'exemptions', '4personal'),\n",
+              " ('exemptions', '4personal', 'religious'),\n",
+              " ('4personal', 'religious', 'url'),\n",
+              " ('religious', 'url', 'via'),\n",
+              " ('url', 'via', 'user'),\n",
+              " ('via', 'user', 'url'),\n",
+              " ('user', 'url', 'autism'),\n",
+              " ('url', 'autism', 'immunizations'),\n",
+              " ('autism', 'immunizations', 'vaccinate'),\n",
+              " ('immunizations', 'vaccinate', 'url'),\n",
+              " ('vaccinate', 'url', 'bart'),\n",
+              " ('url', 'bart', 'riders'),\n",
+              " ('bart', 'riders', 'warned'),\n",
+              " ('riders', 'warned', 'measles'),\n",
+              " ('warned', 'measles', 'infection'),\n",
+              " ('measles', 'infection', 'contagious'),\n",
+              " ('infection', 'contagious', 'passenger'),\n",
+              " ('contagious', 'passenger', 'oakland'),\n",
+              " ('passenger', 'oakland', 'cbs'),\n",
+              " ('oakland', 'cbs', 'sf'),\n",
+              " ('cbs', 'sf', 'bay'),\n",
+              " ('sf', 'bay', 'area'),\n",
+              " ('bay', 'area', 'rapid'),\n",
+              " ('area', 'rapid', 'transit'),\n",
+              " ('rapid', 'transit', 'url'),\n",
+              " ('transit', 'url', 'user'),\n",
+              " ('url', 'user', 'us'),\n",
+              " ('user', 'us', 'cases'),\n",
+              " ('us', 'cases', 'hit'),\n",
+              " ('cases', 'hit', '15year'),\n",
+              " ('hit', '15year', 'high'),\n",
+              " ('15year', 'high', 'far'),\n",
+              " ('high', 'far', 'year'),\n",
+              " ('far', 'year', '118'),\n",
+              " ('year', '118', 'cases'),\n",
+              " ('118', 'cases', 'measles'),\n",
+              " ('cases', 'measles', 'reported'),\n",
+              " ('measles', 'reported', 'unit'),\n",
+              " ('reported', 'unit', 'url'),\n",
+              " ('unit', 'url', 'pull'),\n",
+              " ('url', 'pull', 'myxx'),\n",
+              " ('pull', 'myxx', 'nightlife'),\n",
+              " ('myxx', 'nightlife', 'stint'),\n",
+              " ('nightlife', 'stint', 't'),\n",
+              " ('stint', 't', 'performing'),\n",
+              " ('t', 'performing', 'live'),\n",
+              " ('performing', 'live', 'hosted'),\n",
+              " ('live', 'hosted', 'user'),\n",
+              " ('hosted', 'user', 'url'),\n",
+              " ('user', 'url', 'cdc'),\n",
+              " ('url', 'cdc', 'eyeing'),\n",
+              " ('cdc', 'eyeing', 'bird'),\n",
+              " ('eyeing', 'bird', 'flu'),\n",
+              " ('bird', 'flu', 'vaccine'),\n",
+              " ('flu', 'vaccine', 'humans'),\n",
+              " ('vaccine', 'humans', 'though'),\n",
+              " ('humans', 'though', 'risk'),\n",
+              " ('though', 'risk', 'low'),\n",
+              " ('risk', 'low', 'federal'),\n",
+              " ('low', 'federal', 'officials'),\n",
+              " ('federal', 'officials', 'said'),\n",
+              " ('officials', 'said', 'wednesday'),\n",
+              " ('said', 'wednesday', 'theyre'),\n",
+              " ('wednesday', 'theyre', 'taking'),\n",
+              " ('theyre', 'taking', 'steps'),\n",
+              " ('taking', 'steps', 'url'),\n",
+              " ('steps', 'url', 'involved'),\n",
+              " ('url', 'involved', 'fight'),\n",
+              " ('involved', 'fight', 'preventable'),\n",
+              " ('fight', 'preventable', 'diseases'),\n",
+              " ('preventable', 'diseases', 'tenure'),\n",
+              " ('diseases', 'tenure', 'track'),\n",
+              " ('tenure', 'track', 'opening'),\n",
+              " ('track', 'opening', 'user'),\n",
+              " ('opening', 'user', 'url'),\n",
+              " ('user', 'url', 'user'),\n",
+              " ('url', 'user', 'im'),\n",
+              " ('user', 'im', 'vaccinating'),\n",
+              " ('im', 'vaccinating', 'kids'),\n",
+              " ('vaccinating', 'kids', 'lol'),\n",
+              " ('kids', 'lol', 'alleged'),\n",
+              " ('lol', 'alleged', 'victim'),\n",
+              " ('alleged', 'victim', 'reviewing'),\n",
+              " ('victim', 'reviewing', 'immunity'),\n",
+              " ('reviewing', 'immunity', 'paperwork'),\n",
+              " ('immunity', 'paperwork', 'resume'),\n",
+              " ('paperwork', 'resume', 'testimony'),\n",
+              " ('resume', 'testimony', 'wo'),\n",
+              " ('testimony', 'wo', 'fear'),\n",
+              " ('wo', 'fear', 'blackmail'),\n",
+              " ('fear', 'blackmail', 'prosecution'),\n",
+              " ('blackmail', 'prosecution', 'thanksuser'),\n",
+              " ('prosecution', 'thanksuser', 'crystal'),\n",
+              " ('thanksuser', 'crystal', 'clear'),\n",
+              " ('crystal', 'clear', 'lack'),\n",
+              " ('clear', 'lack', 'evidence'),\n",
+              " ('lack', 'evidence', 'linking'),\n",
+              " ('evidence', 'linking', 'mmr'),\n",
+              " ('linking', 'mmr', 'autism'),\n",
+              " ('mmr', 'autism', 'noticed'),\n",
+              " ('autism', 'noticed', 'user'),\n",
+              " ('noticed', 'user', 'giving'),\n",
+              " ('user', 'giving', 'dvds'),\n",
+              " ('giving', 'dvds', 'vaccinating'),\n",
+              " ('dvds', 'vaccinating', 'children'),\n",
+              " ('vaccinating', 'children', 'bad'),\n",
+              " ('children', 'bad', 'hey'),\n",
+              " ('bad', 'hey', 'nowuser'),\n",
+              " ('hey', 'nowuser', 'mixmasterrods'),\n",
+              " ('nowuser', 'mixmasterrods', 'upstairs'),\n",
+              " ('mixmasterrods', 'upstairs', 'lounge'),\n",
+              " ('upstairs', 'lounge', 'url'),\n",
+              " ('lounge', 'url', 'seriously'),\n",
+              " ('url', 'seriously', 'dont'),\n",
+              " ('seriously', 'dont', 'want'),\n",
+              " ('dont', 'want', 'child'),\n",
+              " ('want', 'child', 'antivaccination'),\n",
+              " ('child', 'antivaccination', 'movement'),\n",
+              " ('antivaccination', 'movement', 'ended'),\n",
+              " ('movement', 'ended', 'terrifying'),\n",
+              " ('ended', 'terrifying', 'user'),\n",
+              " ('terrifying', 'user', 'user'),\n",
+              " ('user', 'user', 'user'),\n",
+              " ('user', 'user', 'epidemic'),\n",
+              " ('user', 'epidemic', 'enterovirus'),\n",
+              " ('epidemic', 'enterovirus', 'mumps'),\n",
+              " ('enterovirus', 'mumps', 'now'),\n",
+              " ('mumps', 'now', 'measles'),\n",
+              " ('now', 'measles', 'drug'),\n",
+              " ('measles', 'drug', 'resistant'),\n",
+              " ('drug', 'resistant', 'tb'),\n",
+              " ('resistant', 'tb', 'next'),\n",
+              " ('tb', 'next', 'said'),\n",
+              " ('next', 'said', 'wasnt'),\n",
+              " ('said', 'wasnt', 'gone'),\n",
+              " ('wasnt', 'gone', 'shit'),\n",
+              " ('gone', 'shit', 'lol'),\n",
+              " ('shit', 'lol', 'looked'),\n",
+              " ('lol', 'looked', 'proved'),\n",
+              " ('looked', 'proved', 'wrong'),\n",
+              " ('proved', 'wrong', 'baby'),\n",
+              " ('wrong', 'baby', 'url'),\n",
+              " ('baby', 'url', 'flu'),\n",
+              " ('url', 'flu', 'shots'),\n",
+              " ('flu', 'shots', 'school'),\n",
+              " ('shots', 'school', 'boost'),\n",
+              " ('school', 'boost', 'vaccination'),\n",
+              " ('boost', 'vaccination', 'rates'),\n",
+              " ('vaccination', 'rates', 'offering'),\n",
+              " ('rates', 'offering', 'flu'),\n",
+              " ('offering', 'flu', 'shots'),\n",
+              " ('flu', 'shots', 'elementary'),\n",
+              " ('shots', 'elementary', 'schools'),\n",
+              " ('elementary', 'schools', 'reduce'),\n",
+              " ('schools', 'reduce', 'number'),\n",
+              " ('reduce', 'number', 'url'),\n",
+              " ('number', 'url', 'user'),\n",
+              " ('url', 'user', '1'),\n",
+              " ('user', '1', 'marin'),\n",
+              " ('1', 'marin', 'county'),\n",
+              " ('marin', 'county', 'school'),\n",
+              " ('county', 'school', 'board'),\n",
+              " ('school', 'board', 'sides'),\n",
+              " ('board', 'sides', 'young'),\n",
+              " ('sides', 'young', 'leukemia'),\n",
+              " ('young', 'leukemia', 'patient'),\n",
+              " ('leukemia', 'patient', 'vaccinations'),\n",
+              " ('patient', 'vaccinations', 'url'),\n",
+              " ('vaccinations', 'url', 'still'),\n",
+              " ('url', 'still', 'running'),\n",
+              " ('still', 'running', 'niggas'),\n",
+              " ('running', 'niggas', 'til'),\n",
+              " ('niggas', 'til', 'death'),\n",
+              " ('til', 'death', 'dibiasimb'),\n",
+              " ('death', 'dibiasimb', 'user'),\n",
+              " ('dibiasimb', 'user', 'url'),\n",
+              " ('user', 'url', 'user'),\n",
+              " ('url', 'user', 'yeah'),\n",
+              " ('user', 'yeah', 'ill'),\n",
+              " ('yeah', 'ill', 'stick'),\n",
+              " ('ill', 'stick', 'regular'),\n",
+              " ('stick', 'regular', 'vaccines'),\n",
+              " ('regular', 'vaccines', 'oh'),\n",
+              " ('vaccines', 'oh', 'wait'),\n",
+              " ('oh', 'wait', 'gives'),\n",
+              " ('wait', 'gives', 'autism'),\n",
+              " ('gives', 'autism', 'user'),\n",
+              " ('autism', 'user', 'antivaccine'),\n",
+              " ('user', 'antivaccine', 'people'),\n",
+              " ('antivaccine', 'people', 'want'),\n",
+              " ('people', 'want', 'control'),\n",
+              " ('want', 'control', 'people'),\n",
+              " ('control', 'people', 'fear'),\n",
+              " ('people', 'fear', 'weaken'),\n",
+              " ('fear', 'weaken', 'herd'),\n",
+              " ('weaken', 'herd', 'immunityso'),\n",
+              " ('herd', 'immunityso', 'anyone'),\n",
+              " ('immunityso', 'anyone', 'knows'),\n",
+              " ('anyone', 'knows', 'mind'),\n",
+              " ('knows', 'mind', 'control'),\n",
+              " ('mind', 'control', 'important'),\n",
+              " ('control', 'important', 'user'),\n",
+              " ('important', 'user', 'measles'),\n",
+              " ('user', 'measles', 'update'),\n",
+              " ('measles', 'update', 'user'),\n",
+              " ('update', 'user', 'says'),\n",
+              " ('user', 'says', 'working'),\n",
+              " ('says', 'working', 'w'),\n",
+              " ('working', 'w', 'user'),\n",
+              " ('w', 'user', 'url'),\n",
+              " ('user', 'url', 'dont'),\n",
+              " ('url', 'dont', 'think'),\n",
+              " ('dont', 'think', 'will'),\n",
+              " ('think', 'will', 'understand'),\n",
+              " ('will', 'understand', 'peoples'),\n",
+              " ('understand', 'peoples', 'reasons'),\n",
+              " ('peoples', 'reasons', 'getting'),\n",
+              " ('reasons', 'getting', 'vaccinated'),\n",
+              " ('getting', 'vaccinated', 'vaccinating'),\n",
+              " ('vaccinated', 'vaccinating', 'kids'),\n",
+              " ('vaccinating', 'kids', 'explain'),\n",
+              " ('kids', 'explain', 'cia'),\n",
+              " ('explain', 'cia', 'vaccination'),\n",
+              " ('cia', 'vaccination', 'campaigns'),\n",
+              " ('vaccination', 'campaigns', 'spy'),\n",
+              " ('campaigns', 'spy', 'ops'),\n",
+              " ('spy', 'ops', 'url'),\n",
+              " ('ops', 'url', 'via'),\n",
+              " ('url', 'via', 'user'),\n",
+              " ('via', 'user', 'harm'),\n",
+              " ('user', 'harm', 'protected'),\n",
+              " ('harm', 'protected', 'medic'),\n",
+              " ('protected', 'medic', 'status'),\n",
+              " ('medic', 'status', 'ruse'),\n",
+              " ('status', 'ruse', 'will'),\n",
+              " ('ruse', 'will', 'linger'),\n",
+              " ('will', 'linger', 'measles'),\n",
+              " ('linger', 'measles', 'outbreak'),\n",
+              " ('measles', 'outbreak', 'prompts'),\n",
+              " ('outbreak', 'prompts', 'vaccination'),\n",
+              " ('prompts', 'vaccination', 'debate'),\n",
+              " ('vaccination', 'debate', 'political'),\n",
+              " ('debate', 'political', 'debate'),\n",
+              " ('political', 'debate', 'rages'),\n",
+              " ('debate', 'rages', 'measles'),\n",
+              " ('rages', 'measles', 'outbreak'),\n",
+              " ('measles', 'outbreak', 'spreads'),\n",
+              " ('outbreak', 'spreads', 'url'),\n",
+              " ('spreads', 'url', 'people'),\n",
+              " ('url', 'people', 'need'),\n",
+              " ('people', 'need', 'children'),\n",
+              " ('need', 'children', 'vaccinated'),\n",
+              " ('children', 'vaccinated', 'bad'),\n",
+              " ('vaccinated', 'bad', 'diseases'),\n",
+              " ('bad', 'diseases', 'coming'),\n",
+              " ('diseases', 'coming', 'back'),\n",
+              " ('coming', 'back', 'vaccine'),\n",
+              " ('back', 'vaccine', 'brain'),\n",
+              " ('vaccine', 'brain', 'damage'),\n",
+              " ('brain', 'damage', 'cover'),\n",
+              " ('damage', 'cover', 'implodes'),\n",
+              " ('cover', 'implodes', 'url'),\n",
+              " ('implodes', 'url', 'user'),\n",
+              " ('url', 'user', 'user'),\n",
+              " ('user', 'user', 'discussing'),\n",
+              " ('user', 'discussing', 'user'),\n",
+              " ('discussing', 'user', 'vaccines'),\n",
+              " ('user', 'vaccines', 'childrens'),\n",
+              " ('vaccines', 'childrens', 'clinic'),\n",
+              " ('childrens', 'clinic', 'url'),\n",
+              " ('clinic', 'url', 'know'),\n",
+              " ('url', 'know', 'infected'),\n",
+              " ('know', 'infected', 'measles'),\n",
+              " ('infected', 'measles', 'airborne'),\n",
+              " ('measles', 'airborne', 'transmission'),\n",
+              " ('airborne', 'transmission', 'wtf'),\n",
+              " ('transmission', 'wtf', 'access'),\n",
+              " ('wtf', 'access', 'fitchburg'),\n",
+              " ('access', 'fitchburg', 'school'),\n",
+              " ('fitchburg', 'school', 'limited'),\n",
+              " ('school', 'limited', 'amid'),\n",
+              " ('limited', 'amid', 'measles'),\n",
+              " ('amid', 'measles', 'scare'),\n",
+              " ('measles', 'scare', 'url'),\n",
+              " ('scare', 'url', 'read'),\n",
+              " ('url', 'read', 'neighbors'),\n",
+              " ('read', 'neighbors', 'user'),\n",
+              " ('neighbors', 'user', 'user'),\n",
+              " ('user', 'user', 'deadly'),\n",
+              " ('user', 'deadly', 'kids'),\n",
+              " ('deadly', 'kids', 'allergies'),\n",
+              " ('kids', 'allergies', 'joke'),\n",
+              " ('allergies', 'joke', 'deadly'),\n",
+              " ('joke', 'deadly', 'child'),\n",
+              " ('deadly', 'child', 'measles'),\n",
+              " ('child', 'measles', 'vaccinate'),\n",
+              " ('measles', 'vaccinate', 'every1'),\n",
+              " ('vaccinate', 'every1', 'measles'),\n",
+              " ('every1', 'measles', '717'),\n",
+              " ('measles', '717', 'user'),\n",
+              " ('717', 'user', 'topic'),\n",
+              " ('user', 'topic', 'makes'),\n",
+              " ('topic', 'makes', 'scared'),\n",
+              " ('makes', 'scared', 'bring'),\n",
+              " ('scared', 'bring', 'kids'),\n",
+              " ('bring', 'kids', 'modern'),\n",
+              " ('kids', 'modern', 'society'),\n",
+              " ('modern', 'society', 'time'),\n",
+              " ('society', 'time', 'start'),\n",
+              " ('time', 'start', 'looking'),\n",
+              " ('start', 'looking', 'private'),\n",
+              " ('looking', 'private', 'schools'),\n",
+              " ('private', 'schools', 'mandate'),\n",
+              " ('schools', 'mandate', 'vaccines'),\n",
+              " ('mandate', 'vaccines', 'user'),\n",
+              " ('vaccines', 'user', 'stop'),\n",
+              " ('user', 'stop', 'blaming'),\n",
+              " ('stop', 'blaming', 'first'),\n",
+              " ('blaming', 'first', 'now'),\n",
+              " ('first', 'now', 'diseasesbrought'),\n",
+              " ('now', 'diseasesbrought', 'ancestors'),\n",
+              " ('diseasesbrought', 'ancestors', 'url'),\n",
+              " ('ancestors', 'url', 'already'),\n",
+              " ('url', 'already', 'cure'),\n",
+              " ('already', 'cure', 'measles'),\n",
+              " ('cure', 'measles', 'user'),\n",
+              " ('measles', 'user', 'user'),\n",
+              " ('user', 'user', 'cant'),\n",
+              " ('user', 'cant', 'attend'),\n",
+              " ('cant', 'attend', 'school'),\n",
+              " ('attend', 'school', 'unless'),\n",
+              " ('school', 'unless', 'vaccinated'),\n",
+              " ('unless', 'vaccinated', 'dont'),\n",
+              " ('vaccinated', 'dont', 'vaccinate'),\n",
+              " ('dont', 'vaccinate', 'children'),\n",
+              " ('vaccinate', 'children', 'shitty'),\n",
+              " ('children', 'shitty', 'parent'),\n",
+              " ('shitty', 'parent', 'end'),\n",
+              " ('parent', 'end', 'story'),\n",
+              " ('end', 'story', 'citizen'),\n",
+              " ('story', 'citizen', 'kingdom'),\n",
+              " ('citizen', 'kingdom', 'god'),\n",
+              " ('kingdom', 'god', 'assignment'),\n",
+              " ('god', 'assignment', 'diplomatic'),\n",
+              " ('assignment', 'diplomatic', 'immunity'),\n",
+              " ('diplomatic', 'immunity', 'fear'),\n",
+              " ('immunity', 'fear', 'man'),\n",
+              " ('fear', 'man', 'top'),\n",
+              " ('man', 'top', 'colorado'),\n",
+              " ('top', 'colorado', 'doctor'),\n",
+              " ('colorado', 'doctor', 'says'),\n",
+              " ('doctor', 'says', 'adults'),\n",
+              " ('says', 'adults', 'worried'),\n",
+              " ('adults', 'worried', 'measles'),\n",
+              " ('worried', 'measles', 'vaccination'),\n",
+              " ('measles', 'vaccination', 'measles'),\n",
+              " ('vaccination', 'measles', 'outbreak'),\n",
+              " ('measles', 'outbreak', 'url'),\n",
+              " ('outbreak', 'url', 'user'),\n",
+              " ('url', 'user', 'nah'),\n",
+              " ('user', 'nah', 'idiot'),\n",
+              " ('nah', 'idiot', 'someone'),\n",
+              " ('idiot', 'someone', 'doesnt'),\n",
+              " ('someone', 'doesnt', 'allow'),\n",
+              " ('doesnt', 'allow', 'kids'),\n",
+              " ('allow', 'kids', 'vaccinated'),\n",
+              " ('kids', 'vaccinated', 'kids'),\n",
+              " ('vaccinated', 'kids', 'need'),\n",
+              " ('kids', 'need', 'vaccinations'),\n",
+              " ('need', 'vaccinations', 'late'),\n",
+              " ('vaccinations', 'late', '19thcentury'),\n",
+              " ('late', '19thcentury', 'maps'),\n",
+              " ('19thcentury', 'maps', 'show'),\n",
+              " ('maps', 'show', 'measles'),\n",
+              " ('show', 'measles', 'mortality'),\n",
+              " ('measles', 'mortality', 'vaccines'),\n",
+              " ('mortality', 'vaccines', 'url'),\n",
+              " ('vaccines', 'url', 'url'),\n",
+              " ('url', 'url', 'measles'),\n",
+              " ('url', 'measles', 'fears'),\n",
+              " ('measles', 'fears', 'spread'),\n",
+              " ('fears', 'spread', 'nj'),\n",
+              " ('spread', 'nj', 'amid'),\n",
+              " ('nj', 'amid', 'suspected'),\n",
+              " ('amid', 'suspected', 'case'),\n",
+              " ('suspected', 'case', 'url'),\n",
+              " ('case', 'url', 'baby'),\n",
+              " ('url', 'baby', 'vaccination'),\n",
+              " ('baby', 'vaccination', 'day'),\n",
+              " ('vaccination', 'day', 'shes'),\n",
+              " ('day', 'shes', 'getting'),\n",
+              " ('shes', 'getting', 'measles'),\n",
+              " ('getting', 'measles', 'one'),\n",
+              " ('measles', 'one', 'early'),\n",
+              " ('one', 'early', 'fuckwits'),\n",
+              " ('early', 'fuckwits', 'chicago'),\n",
+              " ('fuckwits', 'chicago', 'dont'),\n",
+              " ('chicago', 'dont', 'vaccinate'),\n",
+              " ('dont', 'vaccinate', 'ensuring'),\n",
+              " ('vaccinate', 'ensuring', 'problem'),\n",
+              " ('ensuring', 'problem', 'loving'),\n",
+              " ('problem', 'loving', 'measles'),\n",
+              " ('loving', 'measles', 'poster'),\n",
+              " ('measles', 'poster', 'making'),\n",
+              " ('poster', 'making', 'spirit'),\n",
+              " ('making', 'spirit', 'today'),\n",
+              " ('spirit', 'today', 'url'),\n",
+              " ('today', 'url', 'baseball'),\n",
+              " ('url', 'baseball', 'coach'),\n",
+              " ('baseball', 'coach', 'santa'),\n",
+              " ('coach', 'santa', 'monica'),\n",
+              " ('santa', 'monica', 'high'),\n",
+              " ('monica', 'high', 'contracts'),\n",
+              " ('high', 'contracts', 'measles'),\n",
+              " ('contracts', 'measles', 'url'),\n",
+              " ('measles', 'url', 'im'),\n",
+              " ('url', 'im', 'sick'),\n",
+              " ('im', 'sick', 'hearing'),\n",
+              " ('sick', 'hearing', 'people'),\n",
+              " ('hearing', 'people', 'vaccinating'),\n",
+              " ('people', 'vaccinating', 'children'),\n",
+              " ('vaccinating', 'children', 'sick'),\n",
+              " ('children', 'sick', 'hearing'),\n",
+              " ('sick', 'hearing', 'peoples'),\n",
+              " ('hearing', 'peoples', 'freedom'),\n",
+              " ('peoples', 'freedom', 'insane'),\n",
+              " ('freedom', 'insane', 'dangerous'),\n",
+              " ('insane', 'dangerous', 'things'),\n",
+              " ('dangerous', 'things', 'one'),\n",
+              " ('things', 'one', 'risky'),\n",
+              " ('one', 'risky', 'childrena'),\n",
+              " ('risky', 'childrena', 'vaccination'),\n",
+              " ('childrena', 'vaccination', 'going'),\n",
+              " ('vaccination', 'going', 'school'),\n",
+              " ('going', 'school', 'car'),\n",
+              " ('school', 'car', 'odds'),\n",
+              " ('car', 'odds', 'kid'),\n",
+              " ('odds', 'kid', 'measles'),\n",
+              " ('kid', 'measles', 'uses'),\n",
+              " ('measles', 'uses', 'lab'),\n",
+              " ('uses', 'lab', 'room'),\n",
+              " ('lab', 'room', 'user'),\n",
+              " ('room', 'user', 'user'),\n",
+              " ('user', 'user', 'parents'),\n",
+              " ('user', 'parents', 'refuse'),\n",
+              " ('parents', 'refuse', 'kids'),\n",
+              " ('refuse', 'kids', 'immunized'),\n",
+              " ('kids', 'immunized', 'charged'),\n",
+              " ('immunized', 'charged', 'reckless'),\n",
+              " ('charged', 'reckless', 'endangerment'),\n",
+              " ('reckless', 'endangerment', 'kid'),\n",
+              " ('endangerment', 'kid', 'gets'),\n",
+              " ('kid', 'gets', 'another'),\n",
+              " ('gets', 'another', 'sick'),\n",
+              " ('another', 'sick', 'rt'),\n",
+              " ('sick', 'rt', 'user'),\n",
+              " ('rt', 'user', 'vaccinations'),\n",
+              " ('user', 'vaccinations', 'measles'),\n",
+              " ('vaccinations', 'measles', 'medicaid'),\n",
+              " ('measles', 'medicaid', 'expansion'),\n",
+              " ('medicaid', 'expansion', 'url'),\n",
+              " ('expansion', 'url', 'user'),\n",
+              " ('url', 'user', 'centers'),\n",
+              " ('user', 'centers', 'disease'),\n",
+              " ('centers', 'disease', 'control'),\n",
+              " ('disease', 'control', 'years'),\n",
+              " ('control', 'years', 'flu'),\n",
+              " ('years', 'flu', 'vaccine'),\n",
+              " ('flu', 'vaccine', 'doesnt'),\n",
+              " ('vaccine', 'doesnt', 'work'),\n",
+              " ('doesnt', 'work', 'url'),\n",
+              " ('work', 'url', 'user'),\n",
+              " ('url', 'user', 'ty'),\n",
+              " ('user', 'ty', 'fought'),\n",
+              " ('ty', 'fought', 'hard'),\n",
+              " ('fought', 'hard', '2'),\n",
+              " ('hard', '2', 'vaccinate'),\n",
+              " ('2', 'vaccinate', 'kids'),\n",
+              " ('vaccinate', 'kids', 'yrs'),\n",
+              " ('kids', 'yrs', 'ppls'),\n",
+              " ('yrs', 'ppls', 'judgements'),\n",
+              " ('ppls', 'judgements', 'dont'),\n",
+              " ('judgements', 'dont', 'hurt'),\n",
+              " ('dont', 'hurt', 'smart'),\n",
+              " ('hurt', 'smart', 'vaccinate'),\n",
+              " ('smart', 'vaccinate', 'people'),\n",
+              " ('vaccinate', 'people', 'user'),\n",
+              " ('people', 'user', '15'),\n",
+              " ('user', '15', 'tarrant'),\n",
+              " ('15', 'tarrant', 'county'),\n",
+              " ('tarrant', 'county', 'cases'),\n",
+              " ('county', 'cases', 'five'),\n",
+              " ('cases', 'five', 'denton'),\n",
+              " ('five', 'denton', 'co'),\n",
+              " ('denton', 'co', 'traced'),\n",
+              " ('co', 'traced', 'megachurch'),\n",
+              " ('traced', 'megachurch', 'url'),\n",
+              " ('megachurch', 'url', 'hb1251'),\n",
+              " ('url', 'hb1251', 'new'),\n",
+              " ('hb1251', 'new', 'providing'),\n",
+              " ('new', 'providing', 'health'),\n",
+              " ('providing', 'health', 'insurance'),\n",
+              " ('health', 'insurance', 'coverage'),\n",
+              " ('insurance', 'coverage', 'immunizations'),\n",
+              " ('coverage', 'immunizations', 'administered'),\n",
+              " ('immunizations', 'administered', 'pharmacy'),\n",
+              " ('administered', 'pharmacy', 'pharmacist'),\n",
+              " ('pharmacy', 'pharmacist', 'url'),\n",
+              " ('pharmacist', 'url', 'a4077'),\n",
+              " ('url', 'a4077', 'new'),\n",
+              " ('a4077', 'new', 'revises'),\n",
+              " ('new', 'revises', 'codifies'),\n",
+              " ('revises', 'codifies', 'schedule'),\n",
+              " ('codifies', 'schedule', 'childhood'),\n",
+              " ('schedule', 'childhood', 'lead'),\n",
+              " ('childhood', 'lead', 'screening'),\n",
+              " ('lead', 'screening', 'along'),\n",
+              " ('screening', 'along', 'immunization'),\n",
+              " ('along', 'immunization', 'wellness'),\n",
+              " ('immunization', 'wellness', 'url'),\n",
+              " ('wellness', 'url', 'fridays'),\n",
+              " ('url', 'fridays', 'immunity'),\n",
+              " ('fridays', 'immunity', 'challenge'),\n",
+              " ('immunity', 'challenge', 'walking'),\n",
+              " ('challenge', 'walking', 'backwards'),\n",
+              " ('walking', 'backwards', 'safe'),\n",
+              " ('backwards', 'safe', 'time'),\n",
+              " ('safe', 'time', 'sure'),\n",
+              " ('time', 'sure', 'watch'),\n",
+              " ('sure', 'watch', 'back'),\n",
+              " ('watch', 'back', '70s'),\n",
+              " ('back', '70s', 'healthnut'),\n",
+              " ('70s', 'healthnut', 'parents'),\n",
+              " ('healthnut', 'parents', 'didnt'),\n",
+              " ('parents', 'didnt', 'vaccinate'),\n",
+              " ('didnt', 'vaccinate', 'childhood'),\n",
+              " ('vaccinate', 'childhood', 'url'),\n",
+              " ('childhood', 'url', 'user'),\n",
+              " ('url', 'user', 'people'),\n",
+              " ('user', 'people', 'complain'),\n",
+              " ('people', 'complain', 'live'),\n",
+              " ('complain', 'live', 'longer'),\n",
+              " ('live', 'longer', 'releasing'),\n",
+              " ('longer', 'releasing', 'tension'),\n",
+              " ('releasing', 'tension', 'increases'),\n",
+              " ('tension', 'increases', 'immunity'),\n",
+              " ('increases', 'immunity', 'improves'),\n",
+              " ('immunity', 'improves', 'overall'),\n",
+              " ('improves', 'overall', 'health'),\n",
+              " ('overall', 'health', 'well'),\n",
+              " ('health', 'well', 'good'),\n",
+              " ('well', 'good', 'news'),\n",
+              " ('good', 'news', 'austerity'),\n",
+              " ('news', 'austerity', 'vaccine'),\n",
+              " ('austerity', 'vaccine', 'crisis'),\n",
+              " ('vaccine', 'crisis', 'parasite'),\n",
+              " ('crisis', 'parasite', 'pandemic'),\n",
+              " ('parasite', 'pandemic', 'potential'),\n",
+              " ('pandemic', 'potential', 'drains'),\n",
+              " ('potential', 'drains', 'life'),\n",
+              " ('drains', 'life', 'killing'),\n",
+              " ('life', 'killing', 'slowly'),\n",
+              " ('killing', 'slowly', 'user'),\n",
+              " ('slowly', 'user', 'compensation'),\n",
+              " ('user', 'compensation', 'autism'),\n",
+              " ('compensation', 'autism', 'brain'),\n",
+              " ('autism', 'brain', 'damage'),\n",
+              " ('brain', 'damage', 'illnesses'),\n",
+              " ('damage', 'illnesses', 'vaccine'),\n",
+              " ('illnesses', 'vaccine', 'court'),\n",
+              " ('vaccine', 'court', 'via'),\n",
+              " ('court', 'via', 'user'),\n",
+              " ('via', 'user', 'url'),\n",
+              " ('user', 'url', 'seek'),\n",
+              " ('url', 'seek', 'bear'),\n",
+              " ('seek', 'bear', 'w'),\n",
+              " ('bear', 'w', 'see'),\n",
+              " ('w', 'see', 'state'),\n",
+              " ('see', 'state', 'ppls'),\n",
+              " ('state', 'ppls', 'hearts'),\n",
+              " ('ppls', 'hearts', 'url'),\n",
+              " ('hearts', 'url', 'user'),\n",
+              " ('url', 'user', 'conservative'),\n",
+              " ('user', 'conservative', 'neurosurgeon'),\n",
+              " ('conservative', 'neurosurgeon', 'ben'),\n",
+              " ('neurosurgeon', 'ben', 'carson'),\n",
+              " ('ben', 'carson', 'says'),\n",
+              " ('carson', 'says', 'vaccines'),\n",
+              " ('says', 'vaccines', 'public'),\n",
+              " ('vaccines', 'public', 'health'),\n",
+              " ...]"
+            ]
+          },
+          "execution_count": 65,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "trigrams= list(nltk.trigrams(tokens))\n",
+        "\n",
+        "trigrams"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "AI_-EgBG2yp6"
+      },
+      "source": [
+        "#### Approach\n",
+        "- We will get rid of numbers\n",
+        "- We will get rid of the two words"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "VXCO41CaOBBA"
+      },
+      "source": [
+        "##### a. Number Remover"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "IBRojV_AN3Bc"
+      },
+      "outputs": [],
+      "source": [
+        "def number_remover(text):\n",
+        "  text= re.sub(r'\\d+', '', text)\n",
+        "  return \" \".join([word for word in text.split() if not word.isdigit()])"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "SprG4IZaN4K4"
+      },
+      "outputs": [],
+      "source": [
+        "df_train[\"clean_tweet\"]= df_train[\"clean_tweet\"].apply(number_remover)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "nyKmJUj_OH6p"
+      },
+      "source": [
+        "##### b.Text remover"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "3Uh2Y9IOAJao"
+      },
+      "outputs": [],
+      "source": [
+        "def text_remover(text):\n",
+        "  return \" \".join([word for word in text.split() if word not in [\"user\", \"url\"]])"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "Dyy5J--oAKFM"
+      },
+      "outputs": [],
+      "source": [
+        "df_train[\"clean_tweet\"]= df_train[\"clean_tweet\"].apply(lambda x: text_remover(x))"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "qZqXvbGBkt6x"
+      },
+      "outputs": [],
+      "source": []
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "P1Ba6Mt3kvs-"
+      },
+      "outputs": [],
+      "source": []
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 285
+        },
+        "id": "B-VPb0P6DRtN",
+        "outputId": "2ddca607-e8f9-4377-c91f-25a783ca160c"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "\n",
+              "\n",
+              "  <div id=\"df-8829c525-cc51-4211-8ba2-db4a7ef012a4\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <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>tweets</th>\n",
+              "      <th>label</th>\n",
+              "      <th>agreement</th>\n",
+              "      <th>tweet_length</th>\n",
+              "      <th>clean_tweet</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>me &amp;amp; the big homie meanboy3000 #meanboy #m...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>15</td>\n",
+              "      <td>amp big homie meanboy stegman st</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>i'm 100% thinking of devoting my career to pro...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>25</td>\n",
+              "      <td>im thinking devoting career proving autism isn...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>#whatcausesautism vaccines, do not vaccinate y...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>7</td>\n",
+              "      <td>vaccines vaccinate child</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>i mean if they immunize my kid with something ...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>28</td>\n",
+              "      <td>mean immunize kid something wont secretly kill...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>thanks to &lt;user&gt; catch me performing at la nui...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>20</td>\n",
+              "      <td>thanks catch performing la nuit nyc st ave sho...</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8829c525-cc51-4211-8ba2-db4a7ef012a4')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-0623a3c8-1f1a-4e5e-a9bd-c8ff41b6e571\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-0623a3c8-1f1a-4e5e-a9bd-c8ff41b6e571')\"\n",
+              "              title=\"Suggest charts.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "    </div>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: #E8F0FE;\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: #1967D2;\n",
+              "    height: 32px;\n",
+              "    padding: 0 0 0 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: #E2EBFA;\n",
+              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: #174EA6;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "    background-color: #3B4455;\n",
+              "    fill: #D2E3FC;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
+              "    background-color: #434B5C;\n",
+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "    fill: #FFFFFF;\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "    <script>\n",
+              "      async function quickchart(key) {\n",
+              "        const containerElement = document.querySelector('#' + key);\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      }\n",
+              "    </script>\n",
+              "\n",
+              "      <script>\n",
+              "\n",
+              "function displayQuickchartButton(domScope) {\n",
+              "  let quickchartButtonEl =\n",
+              "    domScope.querySelector('#df-0623a3c8-1f1a-4e5e-a9bd-c8ff41b6e571 button.colab-df-quickchart');\n",
+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "}\n",
+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-8829c525-cc51-4211-8ba2-db4a7ef012a4 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-8829c525-cc51-4211-8ba2-db4a7ef012a4');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "                                              tweets  label  agreement  \\\n",
+              "0  me &amp; the big homie meanboy3000 #meanboy #m...    0.0        1.0   \n",
+              "1  i'm 100% thinking of devoting my career to pro...    1.0        1.0   \n",
+              "2  #whatcausesautism vaccines, do not vaccinate y...   -1.0        1.0   \n",
+              "3  i mean if they immunize my kid with something ...   -1.0        1.0   \n",
+              "4  thanks to <user> catch me performing at la nui...    0.0        1.0   \n",
+              "\n",
+              "   tweet_length                                        clean_tweet  \n",
+              "0            15                   amp big homie meanboy stegman st  \n",
+              "1            25  im thinking devoting career proving autism isn...  \n",
+              "2             7                           vaccines vaccinate child  \n",
+              "3            28  mean immunize kid something wont secretly kill...  \n",
+              "4            20  thanks catch performing la nuit nyc st ave sho...  "
+            ]
+          },
+          "execution_count": 70,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "df_train.head()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "uHPN87kYksCg"
+      },
+      "outputs": [],
+      "source": []
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 677
+        },
+        "id": "Y06dwqbCOzGE",
+        "outputId": "9e8e3b65-41b5-470e-ea9d-9ef3f49015c7"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "\n",
+              "\n",
+              "  <div id=\"df-527598b5-a37e-48e3-9acc-1a382abe70c7\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <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",
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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>word</th>\n",
+              "      <th>count</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>measles</td>\n",
+              "      <td>3177</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>vaccine</td>\n",
+              "      <td>1469</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>kids</td>\n",
+              "      <td>1260</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>vaccines</td>\n",
+              "      <td>1190</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>health</td>\n",
+              "      <td>1066</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>vaccinate</td>\n",
+              "      <td>905</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>6</th>\n",
+              "      <td>children</td>\n",
+              "      <td>831</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>7</th>\n",
+              "      <td>people</td>\n",
+              "      <td>702</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>8</th>\n",
+              "      <td>dont</td>\n",
+              "      <td>677</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>9</th>\n",
+              "      <td>mmr</td>\n",
+              "      <td>619</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>10</th>\n",
+              "      <td>vaccinated</td>\n",
+              "      <td>601</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>11</th>\n",
+              "      <td>outbreak</td>\n",
+              "      <td>590</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>12</th>\n",
+              "      <td>autism</td>\n",
+              "      <td>589</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>13</th>\n",
+              "      <td>immunity</td>\n",
+              "      <td>548</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>14</th>\n",
+              "      <td>amp</td>\n",
+              "      <td>535</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>15</th>\n",
+              "      <td>parents</td>\n",
+              "      <td>517</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>16</th>\n",
+              "      <td>vaccinations</td>\n",
+              "      <td>505</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>17</th>\n",
+              "      <td>child</td>\n",
+              "      <td>465</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>18</th>\n",
+              "      <td>school</td>\n",
+              "      <td>434</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>19</th>\n",
+              "      <td>vaccination</td>\n",
+              "      <td>430</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-527598b5-a37e-48e3-9acc-1a382abe70c7')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
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+              "  </svg>\n",
+              "      </button>\n",
+              "\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-f358493b-7e96-4d18-a5ee-c144fec69e02\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f358493b-7e96-4d18-a5ee-c144fec69e02')\"\n",
+              "              title=\"Suggest charts.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
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+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "    </div>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: #E8F0FE;\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: #1967D2;\n",
+              "    height: 32px;\n",
+              "    padding: 0 0 0 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: #E2EBFA;\n",
+              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: #174EA6;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "    background-color: #3B4455;\n",
+              "    fill: #D2E3FC;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
+              "    background-color: #434B5C;\n",
+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "    fill: #FFFFFF;\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "    <script>\n",
+              "      async function quickchart(key) {\n",
+              "        const containerElement = document.querySelector('#' + key);\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      }\n",
+              "    </script>\n",
+              "\n",
+              "      <script>\n",
+              "\n",
+              "function displayQuickchartButton(domScope) {\n",
+              "  let quickchartButtonEl =\n",
+              "    domScope.querySelector('#df-f358493b-7e96-4d18-a5ee-c144fec69e02 button.colab-df-quickchart');\n",
+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "}\n",
+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-527598b5-a37e-48e3-9acc-1a382abe70c7 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-527598b5-a37e-48e3-9acc-1a382abe70c7');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "            word  count\n",
+              "0        measles   3177\n",
+              "1        vaccine   1469\n",
+              "2           kids   1260\n",
+              "3       vaccines   1190\n",
+              "4         health   1066\n",
+              "5      vaccinate    905\n",
+              "6       children    831\n",
+              "7         people    702\n",
+              "8           dont    677\n",
+              "9            mmr    619\n",
+              "10    vaccinated    601\n",
+              "11      outbreak    590\n",
+              "12        autism    589\n",
+              "13      immunity    548\n",
+              "14           amp    535\n",
+              "15       parents    517\n",
+              "16  vaccinations    505\n",
+              "17         child    465\n",
+              "18        school    434\n",
+              "19   vaccination    430"
+            ]
+          },
+          "execution_count": 71,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "## now let's visualize our most frequent words\n",
+        "word= \" \".join(df_train[\"clean_tweet\"])\n",
+        "freq= FreqDist(word.split())\n",
+        "top_20= pd.DataFrame(freq.most_common(20), columns= [\"word\", \"count\"])\n",
+        "\n",
+        "top_20"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "C28wV7W_43Tx"
+      },
+      "outputs": [],
+      "source": [
+        "## Visualizing my dataset again"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 542
+        },
+        "id": "zGPCskUKQXoA",
+        "outputId": "4c7d8858-7522-4a2c-d56e-8a603e42ff36"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "<html>\n",
+              "<head><meta charset=\"utf-8\" /></head>\n",
+              "<body>\n",
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20 Most Frequent Words\"}},                        {\"responsive\": true}                    ).then(function(){\n",
+              "                            \n",
+              "var gd = document.getElementById('922c8010-6c8c-40c1-b84f-0ef51d9e23aa');\n",
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+              "</body>\n",
+              "</html>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "px.treemap(data_frame=top_20, path=[\"word\"], values= \"count\", title= \"Top 20 Most Frequent Words\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "SRksLclIS27t",
+        "outputId": "648fba20-755d-41ce-9559-2e78dc919aad"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "[('measles', 3177),\n",
+              " ('vaccine', 1469),\n",
+              " ('kids', 1260),\n",
+              " ('vaccines', 1190),\n",
+              " ('health', 1066),\n",
+              " ('vaccinate', 905),\n",
+              " ('children', 831),\n",
+              " ('people', 702),\n",
+              " ('dont', 677),\n",
+              " ('mmr', 619),\n",
+              " ('vaccinated', 601),\n",
+              " ('outbreak', 590),\n",
+              " ('autism', 589),\n",
+              " ('immunity', 548),\n",
+              " ('amp', 535),\n",
+              " ('parents', 517),\n",
+              " ('vaccinations', 505),\n",
+              " ('child', 465),\n",
+              " ('school', 434),\n",
+              " ('vaccination', 430),\n",
+              " ('cases', 419),\n",
+              " ('flu', 387),\n",
+              " ('im', 361),\n",
+              " ('disease', 359),\n",
+              " ('new', 337),\n",
+              " ('now', 331),\n",
+              " ('us', 321),\n",
+              " ('got', 302),\n",
+              " ('officials', 284),\n",
+              " ('will', 267),\n",
+              " ('cause', 267),\n",
+              " ('county', 254),\n",
+              " ('live', 245),\n",
+              " ('disneyland', 241),\n",
+              " ('one', 240),\n",
+              " ('getting', 239),\n",
+              " ('cdc', 223),\n",
+              " ('diseases', 220),\n",
+              " ('immunization', 217),\n",
+              " ('via', 216),\n",
+              " ('know', 205),\n",
+              " ('ebola', 204),\n",
+              " ('rt', 203),\n",
+              " ('vaccinating', 202),\n",
+              " ('say', 200),\n",
+              " ('case', 199),\n",
+              " ('think', 199),\n",
+              " ('california', 197),\n",
+              " ('need', 193),\n",
+              " ('baby', 190),\n",
+              " ('kid', 188),\n",
+              " ('immunizations', 188),\n",
+              " ('go', 184),\n",
+              " ('longer', 179),\n",
+              " ('may', 178),\n",
+              " ('want', 177),\n",
+              " ('complain', 177),\n",
+              " ('increases', 177),\n",
+              " ('risk', 176),\n",
+              " ('public', 176),\n",
+              " ('safe', 172),\n",
+              " ('tension', 172),\n",
+              " ('study', 171),\n",
+              " ('time', 166),\n",
+              " ('first', 166),\n",
+              " ('releasing', 164),\n",
+              " ('u', 162),\n",
+              " ('day', 157),\n",
+              " ('confirmed', 157),\n",
+              " ('good', 155),\n",
+              " ('still', 152),\n",
+              " ('state', 151),\n",
+              " ('shot', 150),\n",
+              " ('make', 148),\n",
+              " ('back', 146),\n",
+              " ('cant', 146),\n",
+              " ('year', 145),\n",
+              " ('today', 144),\n",
+              " ('boosts', 143),\n",
+              " ('free', 142),\n",
+              " ('says', 139),\n",
+              " ('shots', 138),\n",
+              " ('average', 137),\n",
+              " ('stop', 131),\n",
+              " ('care', 125),\n",
+              " ('going', 125),\n",
+              " ('many', 124),\n",
+              " ('science', 121),\n",
+              " ('even', 121),\n",
+              " ('polio', 121),\n",
+              " ('link', 120),\n",
+              " ('mumps', 118),\n",
+              " ('years', 117),\n",
+              " ('death', 117),\n",
+              " ('babies', 117),\n",
+              " ('right', 116),\n",
+              " ('believe', 114),\n",
+              " ('high', 111),\n",
+              " ('come', 110),\n",
+              " ('world', 109),\n",
+              " ('thats', 109),\n",
+              " ('doesnt', 107),\n",
+              " ('didnt', 107),\n",
+              " ('news', 105),\n",
+              " ('sick', 104),\n",
+              " ('hiv', 104),\n",
+              " ('never', 103),\n",
+              " ('please', 102),\n",
+              " ('w', 101),\n",
+              " ('youre', 101),\n",
+              " ('unvaccinated', 101),\n",
+              " ('see', 100),\n",
+              " ('schools', 100),\n",
+              " ('really', 100),\n",
+              " ('exposed', 99),\n",
+              " ('work', 97),\n",
+              " ('take', 97),\n",
+              " ('last', 96),\n",
+              " ('bad', 95),\n",
+              " ('department', 95),\n",
+              " ('aids', 94),\n",
+              " ('bill', 94),\n",
+              " ('give', 94),\n",
+              " ('another', 93),\n",
+              " ('oh', 92),\n",
+              " ('two', 92),\n",
+              " ('cough', 92),\n",
+              " ('well', 91),\n",
+              " ('great', 91),\n",
+              " ('thanks', 90),\n",
+              " ('childhood', 90),\n",
+              " ('linked', 90),\n",
+              " ('hope', 89),\n",
+              " ('disney', 89),\n",
+              " ('exemptions', 88),\n",
+              " ('cancer', 88),\n",
+              " ('everyone', 87),\n",
+              " ('virus', 87),\n",
+              " ('said', 87),\n",
+              " ('protect', 87),\n",
+              " ('states', 87),\n",
+              " ('fucking', 86),\n",
+              " ('way', 86),\n",
+              " ('n', 86),\n",
+              " ('better', 86),\n",
+              " ('life', 83),\n",
+              " ('lol', 83),\n",
+              " ('students', 83),\n",
+              " ('spread', 82),\n",
+              " ('love', 82),\n",
+              " ('put', 82),\n",
+              " ('wont', 81),\n",
+              " ('thing', 81),\n",
+              " ('whooping', 81),\n",
+              " ('sure', 80),\n",
+              " ('rates', 79),\n",
+              " ('shit', 78),\n",
+              " ('ill', 78),\n",
+              " ('dr', 78),\n",
+              " ('every', 77),\n",
+              " ('dead', 77),\n",
+              " ('hpv', 77),\n",
+              " ('much', 76),\n",
+              " ('reported', 76),\n",
+              " ('arent', 76),\n",
+              " ('die', 76),\n",
+              " ('number', 75),\n",
+              " ('around', 74),\n",
+              " ('effective', 74),\n",
+              " ('isnt', 73),\n",
+              " ('fear', 73),\n",
+              " ('pox', 73),\n",
+              " ('home', 73),\n",
+              " ('medical', 71),\n",
+              " ('s', 70),\n",
+              " ('safety', 70),\n",
+              " ('doctors', 70),\n",
+              " ('jenny', 69),\n",
+              " ('keep', 69),\n",
+              " ('lives', 69),\n",
+              " ('immunized', 68),\n",
+              " ('yes', 68),\n",
+              " ('help', 68),\n",
+              " ('texas', 68),\n",
+              " ('let', 68),\n",
+              " ('week', 67),\n",
+              " ('next', 66),\n",
+              " ('center', 66),\n",
+              " ('infants', 65),\n",
+              " ('antivaccine', 64),\n",
+              " ('killing', 64),\n",
+              " ('truth', 64),\n",
+              " ('prevent', 64),\n",
+              " ('stupid', 64),\n",
+              " ('due', 63),\n",
+              " ('debate', 63),\n",
+              " ('clinic', 63),\n",
+              " ('gets', 63),\n",
+              " ('old', 62),\n",
+              " ('look', 62),\n",
+              " ('lets', 62),\n",
+              " ('others', 62),\n",
+              " ('ive', 61),\n",
+              " ('childrens', 61),\n",
+              " ('read', 61),\n",
+              " ('little', 61),\n",
+              " ('law', 61),\n",
+              " ('doctor', 60),\n",
+              " ('whats', 60),\n",
+              " ('chicken', 60),\n",
+              " ('ur', 60),\n",
+              " ('best', 60),\n",
+              " ('refuse', 59),\n",
+              " ('real', 59),\n",
+              " ('research', 59),\n",
+              " ('b', 58),\n",
+              " ('brain', 58),\n",
+              " ('makes', 58),\n",
+              " ('mccarthy', 58),\n",
+              " ('deaths', 58),\n",
+              " ('ppl', 58),\n",
+              " ('damn', 58),\n",
+              " ('exposure', 58),\n",
+              " ('mandatory', 58),\n",
+              " ('person', 58),\n",
+              " ('causes', 57),\n",
+              " ('theres', 57),\n",
+              " ('family', 57),\n",
+              " ('thank', 56),\n",
+              " ('spreading', 56),\n",
+              " ('young', 55),\n",
+              " ('feel', 55),\n",
+              " ('away', 55),\n",
+              " ('diagnosed', 55),\n",
+              " ('possible', 55),\n",
+              " ('update', 54),\n",
+              " ('might', 54),\n",
+              " ('mom', 54),\n",
+              " ('big', 53),\n",
+              " ('immunize', 53),\n",
+              " ('start', 53),\n",
+              " ('son', 53),\n",
+              " ('mercury', 53),\n",
+              " ('save', 53),\n",
+              " ('died', 53),\n",
+              " ('kill', 52),\n",
+              " ('catch', 52),\n",
+              " ('university', 52),\n",
+              " ('exemption', 52),\n",
+              " ('meningitis', 52),\n",
+              " ('bring', 52),\n",
+              " ('someone', 52),\n",
+              " ('reason', 52),\n",
+              " ('outbreaks', 52),\n",
+              " ('bc', 52),\n",
+              " ('without', 52),\n",
+              " ('rate', 51),\n",
+              " ('preventable', 51),\n",
+              " ('yet', 51),\n",
+              " ('choice', 51),\n",
+              " ('stay', 51),\n",
+              " ('caused', 50),\n",
+              " ('finds', 50),\n",
+              " ('sb', 50),\n",
+              " ('anyone', 50),\n",
+              " ('story', 50),\n",
+              " ('maybe', 50),\n",
+              " ('gonna', 50),\n",
+              " ('fuck', 50),\n",
+              " ('wait', 49),\n",
+              " ('use', 49),\n",
+              " ('th', 48),\n",
+              " ('tell', 48),\n",
+              " ('age', 47),\n",
+              " ('required', 47),\n",
+              " ('providing', 47),\n",
+              " ('injury', 47),\n",
+              " ('dept', 47),\n",
+              " ('find', 47),\n",
+              " ('show', 46),\n",
+              " ('mt', 46),\n",
+              " ('poor', 46),\n",
+              " ('immune', 46),\n",
+              " ('services', 46),\n",
+              " ('something', 45),\n",
+              " ('epidemic', 45),\n",
+              " ('blaming', 45),\n",
+              " ('adults', 45),\n",
+              " ('change', 45),\n",
+              " ('country', 45),\n",
+              " ('support', 44),\n",
+              " ('shows', 44),\n",
+              " ('bart', 44),\n",
+              " ('coming', 44),\n",
+              " ('making', 44),\n",
+              " ('amnews', 44),\n",
+              " ('benefits', 44),\n",
+              " ('hospital', 44),\n",
+              " ('girl', 44),\n",
+              " ('check', 44)]"
+            ]
+          },
+          "execution_count": 74,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "words= \" \".join(df_train[\"clean_tweet\"]).split()\n",
+        "\n",
+        "dist=FreqDist(words)\n",
+        "\n",
+        "dist.most_common(300)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "ig3-QhlYYmkW"
+      },
+      "outputs": [],
+      "source": [
+        "##we will do some further cleaning\n",
+        "\n",
+        "df_train[\"clean_tweet\"]= df_train[\"clean_tweet\"].apply(lambda x : x.replace(\"ppl\",\"people\"))\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "XoT-KAphAKoP"
+      },
+      "source": [
+        "### iv. Feature Engineering\n",
+        "\n",
+        "\n",
+        "\n",
+        "\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "gTnXB_h1los5"
+      },
+      "source": [
+        "**Approach: **\n",
+        "\n",
+        "- filter out the most important columns from our train dataframe\n",
+        "- Perform feature engineering\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000
+        },
+        "id": "YZRRH26El9Nj",
+        "outputId": "f65e2994-a2c1-4913-d011-3fe6cd1d0e1b"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "\n",
+              "\n",
+              "  <div id=\"df-2caff663-de99-4971-aa0b-b17ab4a7abf1\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <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",
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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>tweets</th>\n",
+              "      <th>label</th>\n",
+              "      <th>agreement</th>\n",
+              "      <th>tweet_length</th>\n",
+              "      <th>clean_tweet</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>me &amp;amp; the big homie meanboy3000 #meanboy #m...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>15</td>\n",
+              "      <td>amp big homie meanboy stegman st</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>i'm 100% thinking of devoting my career to pro...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>25</td>\n",
+              "      <td>im thinking devoting career proving autism isn...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>#whatcausesautism vaccines, do not vaccinate y...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>7</td>\n",
+              "      <td>vaccines vaccinate child</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>i mean if they immunize my kid with something ...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>28</td>\n",
+              "      <td>mean immunize kid something wont secretly kill...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>thanks to &lt;user&gt; catch me performing at la nui...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>20</td>\n",
+              "      <td>thanks catch performing la nuit nyc st ave sho...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>&lt;user&gt; a nearly 67 year old study when mental ...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>22</td>\n",
+              "      <td>nearly year old study mental health studies va...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>6</th>\n",
+              "      <td>study of more than 95,000 kids finds no link b...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>15</td>\n",
+              "      <td>study kids finds link mmr vaccine autism</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>7</th>\n",
+              "      <td>psa: vaccinate your fucking kids</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>5</td>\n",
+              "      <td>psa vaccinate fucking kids</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>8</th>\n",
+              "      <td>coughing extra on the shuttle and everyone thi...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>14</td>\n",
+              "      <td>coughing extra shuttle everyone thinks measles</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>9</th>\n",
+              "      <td>aids vaccine created at oregon health &amp;amp; sc...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>17</td>\n",
+              "      <td>aids vaccine created oregon health amp science...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>10</th>\n",
+              "      <td>&lt;user&gt; @ this point i have 2 text, butw/bon jo...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>25</td>\n",
+              "      <td>point text butwbon jovi cover playin alibis ho...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>11</th>\n",
+              "      <td>my prediction, vaccine exemption in arizona wi...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>18</td>\n",
+              "      <td>prediction vaccine exemption arizona will end ...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>12</th>\n",
+              "      <td>getting my vaccines ! #china #nervous #moving ...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>16</td>\n",
+              "      <td>getting vaccines cheryl southern nevada health...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>13</th>\n",
+              "      <td>1$mug noche &lt;user&gt; #mmr #mixmasterrod #dcdj #m...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>13</td>\n",
+              "      <td>mug noche mad hatter</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>14</th>\n",
+              "      <td>got my influenza vaccine! (@ purdue university...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>13</td>\n",
+              "      <td>got influenza vaccine purdue university studen...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>15</th>\n",
+              "      <td>sb121 [enroll] meningococcal disease-pupils to...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>12</td>\n",
+              "      <td>sb enroll meningococcal diseasepupils immunize...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>16</th>\n",
+              "      <td>increasing number of parents skip vaccinations...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>12</td>\n",
+              "      <td>increasing number parents skip vaccinations ch...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>17</th>\n",
+              "      <td>&lt;user&gt; thank you for standing with ca parents ...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>16</td>\n",
+              "      <td>thank standing ca parents children support</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>18</th>\n",
+              "      <td>dude idc if disney land has the measles, that ...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>20</td>\n",
+              "      <td>dude idc disney land measles means shorter lin...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>19</th>\n",
+              "      <td>beeftalk: start your calf vaccinations now &lt;ur...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>14</td>\n",
+              "      <td>beeftalk start calf vaccinations now via good ...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>20</th>\n",
+              "      <td>i don't care what &lt;user&gt; says, you should prob...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>13</td>\n",
+              "      <td>dont care says probably kids vaccinated</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>21</th>\n",
+              "      <td>#acr13 small study shows in 10 pts with lupus ...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>20</td>\n",
+              "      <td>small study shows pts lupus shingles vaccine s...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>22</th>\n",
+              "      <td>cdc: measles epidemic poses travel risks usat....</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>19</td>\n",
+              "      <td>cdc measles epidemic poses travel risks usatly...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>23</th>\n",
+              "      <td>every time i see the \"to vaccinate or not\" deb...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>24</td>\n",
+              "      <td>every time see vaccinate debate wonder one sid...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>24</th>\n",
+              "      <td>&lt;user&gt; #cdc lied and hid data that black boys ...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>21</td>\n",
+              "      <td>lied hid data black boys uncreased risk develo...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25</th>\n",
+              "      <td>&lt;user&gt; vaccines causing autism</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>4</td>\n",
+              "      <td>vaccines causing autism</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>26</th>\n",
+              "      <td>“&lt;user&gt; i rarely see arguments about over vacc...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>14</td>\n",
+              "      <td>rarely see arguments vaccination actually big ...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>27</th>\n",
+              "      <td>i'm not obsessed w ebola, just following an ou...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>25</td>\n",
+              "      <td>im obsessed w ebola following outbreak worlds ...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>28</th>\n",
+              "      <td>&lt;user&gt; joshthenewt i suck at the game, haha we...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>19</td>\n",
+              "      <td>joshthenewt suck game haha well people say don...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>29</th>\n",
+              "      <td>don't shake his hand, pocahontas! that's proba...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>13</td>\n",
+              "      <td>dont shake hand pocahontas thats probably meas...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>30</th>\n",
+              "      <td>&lt;user&gt; yes. i'm a part of public health just l...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>26</td>\n",
+              "      <td>yes im part public health im part nature feed ...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>31</th>\n",
+              "      <td>new studies show that vaccines are not associa...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>17</td>\n",
+              "      <td>new studies show vaccines associated autism ne...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>32</th>\n",
+              "      <td>not to be repetitive, but i could not be less ...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>22</td>\n",
+              "      <td>repetitive less shocked increase asd even gene...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>33</th>\n",
+              "      <td>glad i got vaccinated! “&lt;user&gt; health alert: a...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>18</td>\n",
+              "      <td>glad got vaccinated health alert case meningit...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>34</th>\n",
+              "      <td>you look like you got the measles</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>7</td>\n",
+              "      <td>look got measles</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>35</th>\n",
+              "      <td>&lt;user&gt; &lt;user&gt; other than that, his defense is ...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>0.333333</td>\n",
+              "      <td>20</td>\n",
+              "      <td>defense vaccines harmful american life unhealthy</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>36</th>\n",
+              "      <td>like hello ranked reset they probably did bad ...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>21</td>\n",
+              "      <td>hello ranked reset probably bad placements mmr...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>37</th>\n",
+              "      <td>amid measles outbreak, vaccines for teachers a...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>18</td>\n",
+              "      <td>amid measles outbreak vaccines teachers arent ...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>38</th>\n",
+              "      <td>&lt;user&gt; &lt;user&gt; &lt;user&gt; &lt;user&gt; “&lt;user&gt; &lt;url&gt; meas...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>8</td>\n",
+              "      <td>measles threat</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>39</th>\n",
+              "      <td>improve mood, energy, immunity, cardio health....</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>15</td>\n",
+              "      <td>improve mood energy immunity cardio health kit...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>40</th>\n",
+              "      <td>mt &lt;user&gt; new #vaccination bill would end exem...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>15</td>\n",
+              "      <td>mt new bill end exemptions personal religious via</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>41</th>\n",
+              "      <td>autism and immunizations: should you vaccinate...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>7</td>\n",
+              "      <td>autism immunizations vaccinate</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>42</th>\n",
+              "      <td>bart riders warned about measles infection fro...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>18</td>\n",
+              "      <td>bart riders warned measles infection contagiou...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>43</th>\n",
+              "      <td>.&lt;user&gt; u.s. #measles cases hit 15-year high. ...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>22</td>\n",
+              "      <td>us cases hit year high far year cases measles ...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>44</th>\n",
+              "      <td>pull up myxx nightlife.... stint t performing ...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>15</td>\n",
+              "      <td>pull myxx nightlife stint t performing live ho...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>45</th>\n",
+              "      <td>cdc eyeing bird flu vaccine for humans, though...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>19</td>\n",
+              "      <td>cdc eyeing bird flu vaccine humans though risk...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>46</th>\n",
+              "      <td>involved in fight against #measles and other #...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>16</td>\n",
+              "      <td>involved fight preventable diseases tenure tra...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>47</th>\n",
+              "      <td>&lt;user&gt; i'm not vaccinating my kids lol</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>7</td>\n",
+              "      <td>im vaccinating kids lol</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>48</th>\n",
+              "      <td>alleged victim reviewing immunity paperwork so...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>15</td>\n",
+              "      <td>alleged victim reviewing immunity paperwork re...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>49</th>\n",
+              "      <td>thanks&lt;user&gt; for being more crystal clear abou...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "      <td>20</td>\n",
+              "      <td>thanksuser crystal clear lack evidence linking...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>50</th>\n",
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+              "      <th>53</th>\n",
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+              "                                               tweets  label  agreement  \\\n",
+              "0   me &amp; the big homie meanboy3000 #meanboy #m...    0.0   1.000000   \n",
+              "1   i'm 100% thinking of devoting my career to pro...    1.0   1.000000   \n",
+              "2   #whatcausesautism vaccines, do not vaccinate y...   -1.0   1.000000   \n",
+              "3   i mean if they immunize my kid with something ...   -1.0   1.000000   \n",
+              "4   thanks to <user> catch me performing at la nui...    0.0   1.000000   \n",
+              "5   <user> a nearly 67 year old study when mental ...    1.0   0.666667   \n",
+              "6   study of more than 95,000 kids finds no link b...    1.0   0.666667   \n",
+              "7                    psa: vaccinate your fucking kids    1.0   1.000000   \n",
+              "8   coughing extra on the shuttle and everyone thi...    1.0   0.666667   \n",
+              "9   aids vaccine created at oregon health &amp; sc...    1.0   0.666667   \n",
+              "10  <user> @ this point i have 2 text, butw/bon jo...    0.0   1.000000   \n",
+              "11  my prediction, vaccine exemption in arizona wi...    0.0   0.666667   \n",
+              "12  getting my vaccines ! #china #nervous #moving ...    1.0   1.000000   \n",
+              "13  1$mug noche <user> #mmr #mixmasterrod #dcdj #m...    0.0   1.000000   \n",
+              "14  got my influenza vaccine! (@ purdue university...    1.0   0.666667   \n",
+              "15  sb121 [enroll] meningococcal disease-pupils to...    0.0   0.666667   \n",
+              "16  increasing number of parents skip vaccinations...    0.0   1.000000   \n",
+              "17  <user> thank you for standing with ca parents ...    1.0   1.000000   \n",
+              "18  dude idc if disney land has the measles, that ...    0.0   1.000000   \n",
+              "19  beeftalk: start your calf vaccinations now <ur...    1.0   1.000000   \n",
+              "20  i don't care what <user> says, you should prob...    1.0   1.000000   \n",
+              "21  #acr13 small study shows in 10 pts with lupus ...    1.0   0.666667   \n",
+              "22  cdc: measles epidemic poses travel risks usat....    0.0   1.000000   \n",
+              "23  every time i see the \"to vaccinate or not\" deb...    1.0   1.000000   \n",
+              "24  <user> #cdc lied and hid data that black boys ...   -1.0   1.000000   \n",
+              "25                     <user> vaccines causing autism   -1.0   1.000000   \n",
+              "26  “<user> i rarely see arguments about over vacc...    0.0   0.666667   \n",
+              "27  i'm not obsessed w ebola, just following an ou...    1.0   0.666667   \n",
+              "28  <user> joshthenewt i suck at the game, haha we...    0.0   1.000000   \n",
+              "29  don't shake his hand, pocahontas! that's proba...    0.0   0.666667   \n",
+              "30  <user> yes. i'm a part of public health just l...    1.0   1.000000   \n",
+              "31  new studies show that vaccines are not associa...    1.0   1.000000   \n",
+              "32  not to be repetitive, but i could not be less ...    1.0   1.000000   \n",
+              "33  glad i got vaccinated! “<user> health alert: a...    1.0   1.000000   \n",
+              "34                  you look like you got the measles    0.0   0.666667   \n",
+              "35  <user> <user> other than that, his defense is ...   -1.0   0.333333   \n",
+              "36  like hello ranked reset they probably did bad ...    0.0   1.000000   \n",
+              "37  amid measles outbreak, vaccines for teachers a...    0.0   0.666667   \n",
+              "38  <user> <user> <user> <user> “<user> <url> meas...    0.0   0.666667   \n",
+              "39  improve mood, energy, immunity, cardio health....    0.0   1.000000   \n",
+              "40  mt <user> new #vaccination bill would end exem...    0.0   1.000000   \n",
+              "41  autism and immunizations: should you vaccinate...    0.0   0.666667   \n",
+              "42  bart riders warned about measles infection fro...    0.0   1.000000   \n",
+              "43  .<user> u.s. #measles cases hit 15-year high. ...    0.0   0.666667   \n",
+              "44  pull up myxx nightlife.... stint t performing ...    0.0   1.000000   \n",
+              "45  cdc eyeing bird flu vaccine for humans, though...    0.0   0.666667   \n",
+              "46  involved in fight against #measles and other #...    1.0   0.666667   \n",
+              "47             <user> i'm not vaccinating my kids lol   -1.0   1.000000   \n",
+              "48  alleged victim reviewing immunity paperwork so...    0.0   1.000000   \n",
+              "49  thanks<user> for being more crystal clear abou...    1.0   0.666667   \n",
+              "50  <user> giving me dvds on how vaccinating child...    0.0   0.666667   \n",
+              "51  hey now...<user> #mixmasterrod #follow #madhat...    0.0   1.000000   \n",
+              "52  i seriously don't want to have a child until t...    1.0   1.000000   \n",
+              "53  <user> <user> <user>  epidemic of enterovirus;...    0.0   1.000000   \n",
+              "54  they said i wasn't gone be shit, lol looked li...    0.0   1.000000   \n",
+              "55  flu shots at school boost vaccination rates: o...    0.0   0.666667   \n",
+              "56  “<user> 1) marin county school board sides wit...    0.0   0.666667   \n",
+              "57  \"still running with the same niggas til the de...    0.0   1.000000   \n",
+              "\n",
+              "    tweet_length                                        clean_tweet  \n",
+              "0             15                   amp big homie meanboy stegman st  \n",
+              "1             25  im thinking devoting career proving autism isn...  \n",
+              "2              7                           vaccines vaccinate child  \n",
+              "3             28  mean immunize kid something wont secretly kill...  \n",
+              "4             20  thanks catch performing la nuit nyc st ave sho...  \n",
+              "5             22  nearly year old study mental health studies va...  \n",
+              "6             15           study kids finds link mmr vaccine autism  \n",
+              "7              5                         psa vaccinate fucking kids  \n",
+              "8             14     coughing extra shuttle everyone thinks measles  \n",
+              "9             17  aids vaccine created oregon health amp science...  \n",
+              "10            25  point text butwbon jovi cover playin alibis ho...  \n",
+              "11            18  prediction vaccine exemption arizona will end ...  \n",
+              "12            16  getting vaccines cheryl southern nevada health...  \n",
+              "13            13                               mug noche mad hatter  \n",
+              "14            13  got influenza vaccine purdue university studen...  \n",
+              "15            12  sb enroll meningococcal diseasepupils immunize...  \n",
+              "16            12  increasing number parents skip vaccinations ch...  \n",
+              "17            16         thank standing ca parents children support  \n",
+              "18            20  dude idc disney land measles means shorter lin...  \n",
+              "19            14  beeftalk start calf vaccinations now via good ...  \n",
+              "20            13            dont care says probably kids vaccinated  \n",
+              "21            20  small study shows pts lupus shingles vaccine s...  \n",
+              "22            19  cdc measles epidemic poses travel risks usatly...  \n",
+              "23            24  every time see vaccinate debate wonder one sid...  \n",
+              "24            21  lied hid data black boys uncreased risk develo...  \n",
+              "25             4                            vaccines causing autism  \n",
+              "26            14  rarely see arguments vaccination actually big ...  \n",
+              "27            25  im obsessed w ebola following outbreak worlds ...  \n",
+              "28            19  joshthenewt suck game haha well people say don...  \n",
+              "29            13  dont shake hand pocahontas thats probably meas...  \n",
+              "30            26  yes im part public health im part nature feed ...  \n",
+              "31            17  new studies show vaccines associated autism ne...  \n",
+              "32            22  repetitive less shocked increase asd even gene...  \n",
+              "33            18  glad got vaccinated health alert case meningit...  \n",
+              "34             7                                   look got measles  \n",
+              "35            20   defense vaccines harmful american life unhealthy  \n",
+              "36            21  hello ranked reset probably bad placements mmr...  \n",
+              "37            18  amid measles outbreak vaccines teachers arent ...  \n",
+              "38             8                                     measles threat  \n",
+              "39            15  improve mood energy immunity cardio health kit...  \n",
+              "40            15  mt new bill end exemptions personal religious via  \n",
+              "41             7                     autism immunizations vaccinate  \n",
+              "42            18  bart riders warned measles infection contagiou...  \n",
+              "43            22  us cases hit year high far year cases measles ...  \n",
+              "44            15  pull myxx nightlife stint t performing live ho...  \n",
+              "45            19  cdc eyeing bird flu vaccine humans though risk...  \n",
+              "46            16  involved fight preventable diseases tenure tra...  \n",
+              "47             7                            im vaccinating kids lol  \n",
+              "48            15  alleged victim reviewing immunity paperwork re...  \n",
+              "49            20  thanksuser crystal clear lack evidence linking...  \n",
+              "50            10               giving dvds vaccinating children bad  \n",
+              "51            12          hey nowuser mixmasterrods upstairs lounge  \n",
+              "52            16  seriously dont want child antivaccination move...  \n",
+              "53            17  epidemic enterovirus mumps now measles drug re...  \n",
+              "54            22  said wasnt gone shit lol looked proved wrong baby  \n",
+              "55            19  flu shots school boost vaccination rates offer...  \n",
+              "56            15  marin county school board sides young leukemia...  \n",
+              "57            16           still running niggas til death dibiasimb  "
+            ]
+          },
+          "execution_count": 76,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
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+        "df_train.loc[:57]"
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+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "rIoc4GwDjG3Q"
+      },
+      "outputs": [],
+      "source": [
+        "clean_train= df_train[[\"clean_tweet\", \"label\", \"agreement\"]]"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
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+          "height": 394
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+        "id": "O0DdpM4qmzMO",
+        "outputId": "9e1737d4-b4ae-4638-edf1-326a95ce1112"
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+              "      <td>vaccines vaccinate child</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>mean immunize kid something wont secretly kill...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>thanks catch performing la nuit nyc st ave sho...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>nearly year old study mental health studies va...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>6</th>\n",
+              "      <td>study kids finds link mmr vaccine autism</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>7</th>\n",
+              "      <td>psa vaccinate fucking kids</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>8</th>\n",
+              "      <td>coughing extra shuttle everyone thinks measles</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>9</th>\n",
+              "      <td>aids vaccine created oregon health amp science...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>10</th>\n",
+              "      <td>point text butwbon jovi cover playin alibis ho...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3830492b-c1bd-4c10-89b4-b35ec2a7189b')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
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+              "              title=\"Suggest charts.\"\n",
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+              "</svg>\n",
+              "      </button>\n",
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+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: #E8F0FE;\n",
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+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
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+              "    height: 32px;\n",
+              "    padding: 0 0 0 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: #E2EBFA;\n",
+              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: #174EA6;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "    background-color: #3B4455;\n",
+              "    fill: #D2E3FC;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
+              "    background-color: #434B5C;\n",
+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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+              "  }\n",
+              "</style>\n",
+              "\n",
+              "    <script>\n",
+              "      async function quickchart(key) {\n",
+              "        const containerElement = document.querySelector('#' + key);\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      }\n",
+              "    </script>\n",
+              "\n",
+              "      <script>\n",
+              "\n",
+              "function displayQuickchartButton(domScope) {\n",
+              "  let quickchartButtonEl =\n",
+              "    domScope.querySelector('#df-58e5deae-3232-4497-8444-4a4a1a601d17 button.colab-df-quickchart');\n",
+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "}\n",
+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-3830492b-c1bd-4c10-89b4-b35ec2a7189b button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-3830492b-c1bd-4c10-89b4-b35ec2a7189b');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "                                          clean_tweet  label  agreement\n",
+              "0                    amp big homie meanboy stegman st    0.0   1.000000\n",
+              "1   im thinking devoting career proving autism isn...    1.0   1.000000\n",
+              "2                            vaccines vaccinate child   -1.0   1.000000\n",
+              "3   mean immunize kid something wont secretly kill...   -1.0   1.000000\n",
+              "4   thanks catch performing la nuit nyc st ave sho...    0.0   1.000000\n",
+              "5   nearly year old study mental health studies va...    1.0   0.666667\n",
+              "6            study kids finds link mmr vaccine autism    1.0   0.666667\n",
+              "7                          psa vaccinate fucking kids    1.0   1.000000\n",
+              "8      coughing extra shuttle everyone thinks measles    1.0   0.666667\n",
+              "9   aids vaccine created oregon health amp science...    1.0   0.666667\n",
+              "10  point text butwbon jovi cover playin alibis ho...    0.0   1.000000"
+            ]
+          },
+          "execution_count": 78,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "clean_train.loc[:10]"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "dDDOgGH1m0Dg"
+      },
+      "source": [
+        "#####. a. creating word length"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "nwp_mTWkonDC"
+      },
+      "outputs": [],
+      "source": [
+        "##i am just creting a copy of the dataframe\n",
+        "\n",
+        "clean_copy= clean_train.copy()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "oPUr_IdCo4ri"
+      },
+      "source": [
+        " ### c.Lemmatization"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "xa7Q2eLQMsDU"
+      },
+      "outputs": [],
+      "source": [
+        "def lemmatize_text(text):\n",
+        "    lemmatizer = WordNetLemmatizer()\n",
+        "    return ' '.join([lemmatizer.lemmatize(word) for word in text.split()])"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "DEu2t5iGNKC6",
+        "outputId": "e8d9a650-9b93-4efa-ee5b-94f4f7f1ae69"
+      },
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "<ipython-input-81-d612f78670a4>:1: SettingWithCopyWarning:\n",
+            "\n",
+            "\n",
+            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+            "Try using .loc[row_indexer,col_indexer] = value instead\n",
+            "\n",
+            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+            "\n"
+          ]
+        }
+      ],
+      "source": [
+        "clean_train[\"clean_tweet\"]= clean_train[\"clean_tweet\"].apply(lemmatize_text)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000
+        },
+        "id": "BGURYgp0NRkw",
+        "outputId": "a13a39aa-f189-429a-eb40-a8303686bbd4"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "\n",
+              "\n",
+              "  <div id=\"df-d2fedaf2-9152-487b-817e-b2f510a0d66a\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <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>clean_tweet</th>\n",
+              "      <th>label</th>\n",
+              "      <th>agreement</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>amp big homie meanboy stegman st</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>im thinking devoting career proving autism isn...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>vaccine vaccinate child</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>mean immunize kid something wont secretly kill...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>thanks catch performing la nuit nyc st ave sho...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>nearly year old study mental health study vacc...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>6</th>\n",
+              "      <td>study kid find link mmr vaccine autism</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>7</th>\n",
+              "      <td>psa vaccinate fucking kid</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>8</th>\n",
+              "      <td>coughing extra shuttle everyone think measles</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>9</th>\n",
+              "      <td>aid vaccine created oregon health amp science ...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>10</th>\n",
+              "      <td>point text butwbon jovi cover playin alibi hop...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>11</th>\n",
+              "      <td>prediction vaccine exemption arizona will end ...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>12</th>\n",
+              "      <td>getting vaccine cheryl southern nevada health ...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>13</th>\n",
+              "      <td>mug noche mad hatter</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>14</th>\n",
+              "      <td>got influenza vaccine purdue university studen...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>15</th>\n",
+              "      <td>sb enroll meningococcal diseasepupils immunize...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>16</th>\n",
+              "      <td>increasing number parent skip vaccination chil...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>17</th>\n",
+              "      <td>thank standing ca parent child support</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>18</th>\n",
+              "      <td>dude idc disney land measles mean shorter line...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>19</th>\n",
+              "      <td>beeftalk start calf vaccination now via good a...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>20</th>\n",
+              "      <td>dont care say probably kid vaccinated</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>21</th>\n",
+              "      <td>small study show pt lupus shingle vaccine safe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>22</th>\n",
+              "      <td>cdc measles epidemic pose travel risk usatlyix...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>23</th>\n",
+              "      <td>every time see vaccinate debate wonder one sid...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>24</th>\n",
+              "      <td>lied hid data black boy uncreased risk develop...</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25</th>\n",
+              "      <td>vaccine causing autism</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>26</th>\n",
+              "      <td>rarely see argument vaccination actually big deal</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>27</th>\n",
+              "      <td>im obsessed w ebola following outbreak world d...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>28</th>\n",
+              "      <td>joshthenewt suck game haha well people say don...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>29</th>\n",
+              "      <td>dont shake hand pocahontas thats probably meas...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>30</th>\n",
+              "      <td>yes im part public health im part nature feed ...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>31</th>\n",
+              "      <td>new study show vaccine associated autism news ...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>32</th>\n",
+              "      <td>repetitive le shocked increase asd even geneti...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>33</th>\n",
+              "      <td>glad got vaccinated health alert case meningit...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>34</th>\n",
+              "      <td>look got measles</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>35</th>\n",
+              "      <td>defense vaccine harmful american life unhealthy</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>0.333333</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>36</th>\n",
+              "      <td>hello ranked reset probably bad placement mmr ...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>37</th>\n",
+              "      <td>amid measles outbreak vaccine teacher arent re...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>38</th>\n",
+              "      <td>measles threat</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>39</th>\n",
+              "      <td>improve mood energy immunity cardio health kit...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>40</th>\n",
+              "      <td>mt new bill end exemption personal religious via</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>41</th>\n",
+              "      <td>autism immunization vaccinate</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>42</th>\n",
+              "      <td>bart rider warned measles infection contagious...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>43</th>\n",
+              "      <td>u case hit year high far year case measles rep...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>44</th>\n",
+              "      <td>pull myxx nightlife stint t performing live ho...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>45</th>\n",
+              "      <td>cdc eyeing bird flu vaccine human though risk ...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>46</th>\n",
+              "      <td>involved fight preventable disease tenure trac...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>47</th>\n",
+              "      <td>im vaccinating kid lol</td>\n",
+              "      <td>-1.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>48</th>\n",
+              "      <td>alleged victim reviewing immunity paperwork re...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>49</th>\n",
+              "      <td>thanksuser crystal clear lack evidence linking...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>50</th>\n",
+              "      <td>giving dvd vaccinating child bad</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.666667</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d2fedaf2-9152-487b-817e-b2f510a0d66a')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-de0bde4d-cfae-4b8d-8643-0b849087c457\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-de0bde4d-cfae-4b8d-8643-0b849087c457')\"\n",
+              "              title=\"Suggest charts.\"\n",
+              "              style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "    </div>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: #E8F0FE;\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: #1967D2;\n",
+              "    height: 32px;\n",
+              "    padding: 0 0 0 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: #E2EBFA;\n",
+              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: #174EA6;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "    background-color: #3B4455;\n",
+              "    fill: #D2E3FC;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart:hover {\n",
+              "    background-color: #434B5C;\n",
+              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "    fill: #FFFFFF;\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "    <script>\n",
+              "      async function quickchart(key) {\n",
+              "        const containerElement = document.querySelector('#' + key);\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      }\n",
+              "    </script>\n",
+              "\n",
+              "      <script>\n",
+              "\n",
+              "function displayQuickchartButton(domScope) {\n",
+              "  let quickchartButtonEl =\n",
+              "    domScope.querySelector('#df-de0bde4d-cfae-4b8d-8643-0b849087c457 button.colab-df-quickchart');\n",
+              "  quickchartButtonEl.style.display =\n",
+              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "}\n",
+              "\n",
+              "        displayQuickchartButton(document);\n",
+              "      </script>\n",
+              "      <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-d2fedaf2-9152-487b-817e-b2f510a0d66a button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-d2fedaf2-9152-487b-817e-b2f510a0d66a');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "                                          clean_tweet  label  agreement\n",
+              "0                    amp big homie meanboy stegman st    0.0   1.000000\n",
+              "1   im thinking devoting career proving autism isn...    1.0   1.000000\n",
+              "2                             vaccine vaccinate child   -1.0   1.000000\n",
+              "3   mean immunize kid something wont secretly kill...   -1.0   1.000000\n",
+              "4   thanks catch performing la nuit nyc st ave sho...    0.0   1.000000\n",
+              "5   nearly year old study mental health study vacc...    1.0   0.666667\n",
+              "6              study kid find link mmr vaccine autism    1.0   0.666667\n",
+              "7                           psa vaccinate fucking kid    1.0   1.000000\n",
+              "8       coughing extra shuttle everyone think measles    1.0   0.666667\n",
+              "9   aid vaccine created oregon health amp science ...    1.0   0.666667\n",
+              "10  point text butwbon jovi cover playin alibi hop...    0.0   1.000000\n",
+              "11  prediction vaccine exemption arizona will end ...    0.0   0.666667\n",
+              "12  getting vaccine cheryl southern nevada health ...    1.0   1.000000\n",
+              "13                               mug noche mad hatter    0.0   1.000000\n",
+              "14  got influenza vaccine purdue university studen...    1.0   0.666667\n",
+              "15  sb enroll meningococcal diseasepupils immunize...    0.0   0.666667\n",
+              "16  increasing number parent skip vaccination chil...    0.0   1.000000\n",
+              "17             thank standing ca parent child support    1.0   1.000000\n",
+              "18  dude idc disney land measles mean shorter line...    0.0   1.000000\n",
+              "19  beeftalk start calf vaccination now via good a...    1.0   1.000000\n",
+              "20              dont care say probably kid vaccinated    1.0   1.000000\n",
+              "21  small study show pt lupus shingle vaccine safe...    1.0   0.666667\n",
+              "22  cdc measles epidemic pose travel risk usatlyix...    0.0   1.000000\n",
+              "23  every time see vaccinate debate wonder one sid...    1.0   1.000000\n",
+              "24  lied hid data black boy uncreased risk develop...   -1.0   1.000000\n",
+              "25                             vaccine causing autism   -1.0   1.000000\n",
+              "26  rarely see argument vaccination actually big deal    0.0   0.666667\n",
+              "27  im obsessed w ebola following outbreak world d...    1.0   0.666667\n",
+              "28  joshthenewt suck game haha well people say don...    0.0   1.000000\n",
+              "29  dont shake hand pocahontas thats probably meas...    0.0   0.666667\n",
+              "30  yes im part public health im part nature feed ...    1.0   1.000000\n",
+              "31  new study show vaccine associated autism news ...    1.0   1.000000\n",
+              "32  repetitive le shocked increase asd even geneti...    1.0   1.000000\n",
+              "33  glad got vaccinated health alert case meningit...    1.0   1.000000\n",
+              "34                                   look got measles    0.0   0.666667\n",
+              "35    defense vaccine harmful american life unhealthy   -1.0   0.333333\n",
+              "36  hello ranked reset probably bad placement mmr ...    0.0   1.000000\n",
+              "37  amid measles outbreak vaccine teacher arent re...    0.0   0.666667\n",
+              "38                                     measles threat    0.0   0.666667\n",
+              "39  improve mood energy immunity cardio health kit...    0.0   1.000000\n",
+              "40   mt new bill end exemption personal religious via    0.0   1.000000\n",
+              "41                      autism immunization vaccinate    0.0   0.666667\n",
+              "42  bart rider warned measles infection contagious...    0.0   1.000000\n",
+              "43  u case hit year high far year case measles rep...    0.0   0.666667\n",
+              "44  pull myxx nightlife stint t performing live ho...    0.0   1.000000\n",
+              "45  cdc eyeing bird flu vaccine human though risk ...    0.0   0.666667\n",
+              "46  involved fight preventable disease tenure trac...    1.0   0.666667\n",
+              "47                             im vaccinating kid lol   -1.0   1.000000\n",
+              "48  alleged victim reviewing immunity paperwork re...    0.0   1.000000\n",
+              "49  thanksuser crystal clear lack evidence linking...    1.0   0.666667\n",
+              "50                   giving dvd vaccinating child bad    0.0   0.666667"
+            ]
+          },
+          "execution_count": 82,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "clean_train.loc[:50]"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "8oUftd5qNTmi"
+      },
+      "source": [
+        "#####c.adding Character Length"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "XfyRroOwStP5"
+      },
+      "outputs": [],
+      "source": [
+        "def remove_special_characters(input_string):\n",
+        "    pattern = r'[^a-zA-Z0-9\\s]'\n",
+        "    cleaned_string = re.sub(pattern, '', input_string)\n",
+        "    return cleaned_string"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "fdazLlKJxiRL",
+        "outputId": "43cd0292-2994-49e1-d5e1-1850de417265"
+      },
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "<ipython-input-84-6b2ad17c11ce>:1: SettingWithCopyWarning:\n",
+            "\n",
+            "\n",
+            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+            "Try using .loc[row_indexer,col_indexer] = value instead\n",
+            "\n",
+            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+            "\n"
+          ]
+        }
+      ],
+      "source": [
+        "clean_train[\"clean_tweet\"]= clean_train[\"clean_tweet\"].apply(remove_special_characters)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "r-7HCyGU-IZc"
+      },
+      "outputs": [],
+      "source": []
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "GMwWaNTsyRkV"
+      },
+      "outputs": [],
+      "source": [
+        "clean_copy = clean_copy.dropna()\n",
+        "clean_train = clean_train.dropna()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "Z9m2iyomIcBQ"
+      },
+      "outputs": [],
+      "source": [
+        "clean_copy.to_csv(\"/content/drive/MyDrive/deep-learning/clean_copy.csv\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "YIC1W8MNALb1",
+        "outputId": "09d6b005-6c36-43c6-9fbe-bd3a29c9a26e"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "(9999, 3)"
+            ]
+          },
+          "execution_count": 89,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "clean_copy.shape"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "v2aPN_AvA02E",
+        "outputId": "73132e4b-f2f6-4592-ba8f-8bec8a30eb2f"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "clean_tweet    0\n",
+              "label          0\n",
+              "agreement      0\n",
+              "dtype: int64"
+            ]
+          },
+          "execution_count": 88,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "clean_train.isna().sum()"
+      ]
+    }
+  ],
+  "metadata": {
+    "accelerator": "GPU",
+    "colab": {
+      "gpuType": "T4",
+      "provenance": []
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}