NLP_project1.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gEOgEkSOG2s3"
      },
      "source": [
        "**Importing libraries**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {},
      "outputs": [],
      "source": [
        "!source env/bin/activate"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "id": "kCQMxr852yrE"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from wordcloud import WordCloud, STOPWORDS"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wpKD_So7G-FY"
      },
      "source": [
        "**Importing CSV files**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LeRSkBPZ28rQ",
        "outputId": "37704462-d8ca-4f39-b7d4-f2f9cd01912b"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/tmp/ipykernel_2197415/2147414233.py:1: FutureWarning: The error_bad_lines argument has been deprecated and will be removed in a future version. Use on_bad_lines in the future.\n",
            "\n",
            "\n",
            "  train_df = pd.read_csv(\"project_training_data_with_class_labels.csv\", error_bad_lines=False)\n",
            "b'Skipping line 36926: expected 4 fields, saw 5\\nSkipping line 72352: expected 4 fields, saw 5\\nSkipping line 104352: expected 4 fields, saw 5\\n'\n",
            "b'Skipping line 202373: expected 4 fields, saw 5\\nSkipping line 207923: expected 4 fields, saw 5\\n'\n",
            "b'Skipping line 309632: expected 4 fields, saw 5\\n'\n",
            "b'Skipping line 409346: expected 4 fields, saw 5\\n'\n",
            "b'Skipping line 651860: expected 4 fields, saw 5\\n'\n",
            "b'Skipping line 664720: expected 4 fields, saw 5\\nSkipping line 734905: expected 4 fields, saw 5\\n'\n",
            "b'Skipping line 790510: expected 4 fields, saw 5\\n'\n"
          ]
        }
      ],
      "source": [
        "train_df = pd.read_csv(\"project_training_data_with_class_labels.csv\", error_bad_lines=False)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "Hk_ufL1G3Etx",
        "outputId": "05468c46-6398-4018-cf51-53e83126fe38"
      },
      "outputs": [
        {
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>Comments</th>\n",
              "      <th>Parent Comments</th>\n",
              "      <th>Class Labels</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ocxtitan</td>\n",
              "      <td>Central Illinois</td>\n",
              "      <td>Jesus; where do you live?</td>\n",
              "      <td>non-sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>LeChuckly</td>\n",
              "      <td>To think - CNN used to be the acronym synonymo...</td>\n",
              "      <td>Even The CNN Staff Is Sick Of The Wall-To-Wall...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>throwitskrub8</td>\n",
              "      <td>But then again; you have to consider that all ...</td>\n",
              "      <td>agree to that part.It can also mean that gujra...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>fresherthanyouuu</td>\n",
              "      <td>ughhhhh</td>\n",
              "      <td>If a guy told you he doesn't use social media ...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>_kushagra</td>\n",
              "      <td>I should've put the</td>\n",
              "      <td>No; it's just a programming bug. After all; th...</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>808085</th>\n",
              "      <td>Arectarius</td>\n",
              "      <td>50% hp/def elgif; impiety orb; bourn jewel che...</td>\n",
              "      <td>Hate to break it to you; but Gloomy can't do a...</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>808086</th>\n",
              "      <td>dale1v</td>\n",
              "      <td>Rubicon Mango.</td>\n",
              "      <td>Hey Reddit; if you could only drink one flavor...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>808087</th>\n",
              "      <td>Semyonov</td>\n",
              "      <td>Essentially GAP insurance right?</td>\n",
              "      <td>I'm sure you can pay for it. Most insurance pl...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>808088</th>\n",
              "      <td>futalover99</td>\n",
              "      <td>Yeah; but sometimes that weird kid keeps tryin...</td>\n",
              "      <td>Ive been subscribed to that for a while; and a...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>808089</th>\n",
              "      <td>SuperSpartacus</td>\n",
              "      <td>Petroleum doesn't really require a terroir lik...</td>\n",
              "      <td>It must be very different for oil then. I know...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>808090 rows × 4 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                      ID                                           Comments  \\\n",
              "0               ocxtitan                                   Central Illinois   \n",
              "1              LeChuckly  To think - CNN used to be the acronym synonymo...   \n",
              "2          throwitskrub8  But then again; you have to consider that all ...   \n",
              "3       fresherthanyouuu                                            ughhhhh   \n",
              "4              _kushagra                                I should've put the   \n",
              "...                  ...                                                ...   \n",
              "808085        Arectarius  50% hp/def elgif; impiety orb; bourn jewel che...   \n",
              "808086            dale1v                                     Rubicon Mango.   \n",
              "808087          Semyonov                   Essentially GAP insurance right?   \n",
              "808088       futalover99  Yeah; but sometimes that weird kid keeps tryin...   \n",
              "808089    SuperSpartacus  Petroleum doesn't really require a terroir lik...   \n",
              "\n",
              "                                          Parent Comments  Class Labels   \n",
              "0                               Jesus; where do you live?  non-sarcastic  \n",
              "1       Even The CNN Staff Is Sick Of The Wall-To-Wall...  non-sarcastic  \n",
              "2       agree to that part.It can also mean that gujra...  non-sarcastic  \n",
              "3       If a guy told you he doesn't use social media ...  non-sarcastic  \n",
              "4       No; it's just a programming bug. After all; th...      sarcastic  \n",
              "...                                                   ...            ...  \n",
              "808085  Hate to break it to you; but Gloomy can't do a...      sarcastic  \n",
              "808086  Hey Reddit; if you could only drink one flavor...  non-sarcastic  \n",
              "808087  I'm sure you can pay for it. Most insurance pl...  non-sarcastic  \n",
              "808088  Ive been subscribed to that for a while; and a...  non-sarcastic  \n",
              "808089  It must be very different for oil then. I know...  non-sarcastic  \n",
              "\n",
              "[808090 rows x 4 columns]"
            ]
          },
          "execution_count": 25,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "train_df "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EIJSCZxT3H4d",
        "outputId": "48232e84-b813-4a70-e3f6-db4c3c349774"
      },
      "outputs": [],
      "source": [
        "#test_df = pd.read_csv(\"project_test_data.csv\", error_bad_lines=False)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "kGueYzSa3NET",
        "outputId": "a70cd9e7-1b47-4d7c-d55d-573c77ab09d8"
      },
      "outputs": [],
      "source": [
        "#test_df"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "02CAARD7AhJv"
      },
      "source": [
        "**Cleaning the dataset**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "id": "D_ytyOe33aui"
      },
      "outputs": [],
      "source": [
        "df1 = train_df[train_df.isna().any(axis=1)]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "vGB6UGwDAYsr",
        "outputId": "88d96206-00ac-4605-9a9b-bb51d8141d52"
      },
      "outputs": [
        {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>Comments</th>\n",
              "      <th>Parent Comments</th>\n",
              "      <th>Class Labels</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>8917</th>\n",
              "      <td>self_defeating</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Because we have chosen them as sources of mind...</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9396</th>\n",
              "      <td>Khvostov_7g-02</td>\n",
              "      <td>NaN</td>\n",
              "      <td>woah; thanks.</td>\n",
              "      <td>non-sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9469</th>\n",
              "      <td>roybringus</td>\n",
              "      <td>NaN</td>\n",
              "      <td>I am just shocked an upstanding group like thi...</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39976</th>\n",
              "      <td>MObaid27</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Bebe is a beautiful &amp;amp; wonderfully gifted f...</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41499</th>\n",
              "      <td>abdiascoronel</td>\n",
              "      <td>Said the bruised ego.,Pretending to be an idi...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56037</th>\n",
              "      <td>texasboyf150</td>\n",
              "      <td>Going on about they lives...that's an opinion ...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84428</th>\n",
              "      <td>CenaW</td>\n",
              "      <td>NaN</td>\n",
              "      <td>thanks Democrats.</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>88537</th>\n",
              "      <td>IndigenousOres</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Lol you didn't got it</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>104232</th>\n",
              "      <td>roguetroll</td>\n",
              "      <td>But it's wint... *falls over leg* DAMN IT!,*st...</td>\n",
              "      <td>sarcastic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127616</th>\n",
              "      <td>mattindustries</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Droids are just objectively better. Doesn't ta...</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>134668</th>\n",
              "      <td>Ps3Dave</td>\n",
              "      <td>I don't care how loud your screams are; you're...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>161395</th>\n",
              "      <td>Crusty_white_sock</td>\n",
              "      <td>You're nice; but the reason I don't want to da...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>162258</th>\n",
              "      <td>butteryrice123</td>\n",
              "      <td>DLC 5 has been announced as a PS4 exclusive,De...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>172361</th>\n",
              "      <td>lantech</td>\n",
              "      <td>NaN</td>\n",
              "      <td>We need a sarcasm font. Or perhaps I'm a retard.</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>175541</th>\n",
              "      <td>XHo-Oh</td>\n",
              "      <td>This new Shugesh form will have its own rarity...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>207469</th>\n",
              "      <td>So12rovv</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Will do. EU or NA?</td>\n",
              "      <td>non-sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>231580</th>\n",
              "      <td>jhn_rob</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Yes; using game features is an exploit</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>278199</th>\n",
              "      <td>VanDriver1</td>\n",
              "      <td>It will be better when it's one lane each way ...</td>\n",
              "      <td>sarcastic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>285272</th>\n",
              "      <td>chamclouder</td>\n",
              "      <td>I cant believe Team: goalie with a bridge cont...</td>\n",
              "      <td>sarcastic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>289901</th>\n",
              "      <td>Synsc</td>\n",
              "      <td>NaN</td>\n",
              "      <td>House \"of\" Commons</td>\n",
              "      <td>non-sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>293003</th>\n",
              "      <td>ShyBiDude89</td>\n",
              "      <td>It's ok if I do it; it's those other people yo...</td>\n",
              "      <td>sarcastic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>312887</th>\n",
              "      <td>BrightIdeaDude</td>\n",
              "      <td>NaN</td>\n",
              "      <td>SERIOUSLY?! THIS IS THE FREE ITEM I GOT FOR PL...</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>334963</th>\n",
              "      <td>sailingonward</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Are you proposing that the stock market should...</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>348402</th>\n",
              "      <td>atlacatl</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Doesn't matter if that experience is garbage</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>349834</th>\n",
              "      <td>RAGGA_MUFFIN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Uh; what about that looks like a ghetto to you?</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>364333</th>\n",
              "      <td>qubi</td>\n",
              "      <td>NaN</td>\n",
              "      <td>No kidding</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>364928</th>\n",
              "      <td>Wemorg</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Your favourite lol joke?</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>365270</th>\n",
              "      <td>Mdgt_Pope</td>\n",
              "      <td>could've,They could of played 3 bad teams in t...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>366544</th>\n",
              "      <td>DJGow</td>\n",
              "      <td>NaN</td>\n",
              "      <td>And thus an universal sarcasm indicator is born.</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>367749</th>\n",
              "      <td>kerplunkerfish</td>\n",
              "      <td>We were just outside Barstow; on the edge of t...</td>\n",
              "      <td>sarcastic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>379882</th>\n",
              "      <td>New-Hitler-Hillary</td>\n",
              "      <td>$10;000 cheap,Cheap V-8 Turbo Build! LS-Turbo ...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>401222</th>\n",
              "      <td>Trout_Tickler</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Nah; that's Tux</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>410604</th>\n",
              "      <td>Puffin_fan</td>\n",
              "      <td>give everyone the power to share anything with...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>414019</th>\n",
              "      <td>Ryan94985</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Even if she is under 18 it isn't pornography. ...</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>421408</th>\n",
              "      <td>Kiux97</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Because with the newer cell it looks stupid?</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>442200</th>\n",
              "      <td>havok0159</td>\n",
              "      <td>[]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>450895</th>\n",
              "      <td>calo9000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Valiant sir stands up against the console dron...</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>487177</th>\n",
              "      <td>TinHao</td>\n",
              "      <td>NaN</td>\n",
              "      <td>integrity?</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>491552</th>\n",
              "      <td>Knorikus</td>\n",
              "      <td>NaN</td>\n",
              "      <td>There probably won't be master chief Might be ...</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>507437</th>\n",
              "      <td>ellen_pao</td>\n",
              "      <td>NaN</td>\n",
              "      <td>very true; not all girls like the \"bad boy\"</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>509766</th>\n",
              "      <td>Jobcv314</td>\n",
              "      <td>Oh; sorry your honor; I thought the law was *o...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>531255</th>\n",
              "      <td>The_Leedle</td>\n",
              "      <td>But EDM isn't music; it's just sounds *because...</td>\n",
              "      <td>sarcastic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>578745</th>\n",
              "      <td>Nessie</td>\n",
              "      <td>NaN</td>\n",
              "      <td>I cant tell if this is sarcasm or not; but so ...</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>582988</th>\n",
              "      <td>Ziffelbrixx</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Kinda wish the article showed the bridges on t...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>587198</th>\n",
              "      <td>SodokuIRL</td>\n",
              "      <td>NaN</td>\n",
              "      <td>LPL shitshow; EU LCS shitshow. What isn't a sh...</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>616317</th>\n",
              "      <td>iloveyoujesuschriist</td>\n",
              "      <td>Lend-Lease aid did not arrive in sufficient qu...</td>\n",
              "      <td>sarcastic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>634685</th>\n",
              "      <td>MrOxi</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Make sure he doesn't overdose! Too many people...</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>635051</th>\n",
              "      <td>TheCavalierLads</td>\n",
              "      <td>NaN</td>\n",
              "      <td>But then no one sees how many active friends y...</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>638355</th>\n",
              "      <td>RealityIsMyReligion</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Pharmacists of Reddit; how much do you judge p...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>638916</th>\n",
              "      <td>curbstickle</td>\n",
              "      <td>NaN</td>\n",
              "      <td>if only there was a way to convey sarcasm thro...</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>653324</th>\n",
              "      <td>Thief39</td>\n",
              "      <td>Something like that',Great minds think alike. ...</td>\n",
              "      <td>sarcastic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>653687</th>\n",
              "      <td>dont_wear_a_C</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Thu 2016-08-04 accessing vault............unlo...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>654055</th>\n",
              "      <td>FieldDay</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Fuck you too; buddy.</td>\n",
              "      <td>non-sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>711972</th>\n",
              "      <td>waldo686</td>\n",
              "      <td>I don't think we; as law enforcement; can supp...</td>\n",
              "      <td>sarcastic</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>739776</th>\n",
              "      <td>insanePower</td>\n",
              "      <td>NaN</td>\n",
              "      <td>jiji still shitstomps solo q against NALCS mid...</td>\n",
              "      <td>non-sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>750918</th>\n",
              "      <td>PoochDoobie</td>\n",
              "      <td>NaN</td>\n",
              "      <td>lol I can't believe that your cat slept throug...</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>753557</th>\n",
              "      <td>Dalmazz</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Best region?</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>778552</th>\n",
              "      <td>wedontlikespaces</td>\n",
              "      <td>NaN</td>\n",
              "      <td>What symbol denotes suck?</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>787209</th>\n",
              "      <td>Untoldstory55</td>\n",
              "      <td>NaN</td>\n",
              "      <td>If only it was that simple; but one fix may im...</td>\n",
              "      <td>sarcastic</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                          ID  \\\n",
              "8917          self_defeating   \n",
              "9396          Khvostov_7g-02   \n",
              "9469              roybringus   \n",
              "39976               MObaid27   \n",
              "41499          abdiascoronel   \n",
              "56037           texasboyf150   \n",
              "84428                  CenaW   \n",
              "88537         IndigenousOres   \n",
              "104232            roguetroll   \n",
              "127616        mattindustries   \n",
              "134668               Ps3Dave   \n",
              "161395     Crusty_white_sock   \n",
              "162258        butteryrice123   \n",
              "172361               lantech   \n",
              "175541                XHo-Oh   \n",
              "207469              So12rovv   \n",
              "231580               jhn_rob   \n",
              "278199            VanDriver1   \n",
              "285272           chamclouder   \n",
              "289901                 Synsc   \n",
              "293003           ShyBiDude89   \n",
              "312887        BrightIdeaDude   \n",
              "334963         sailingonward   \n",
              "348402              atlacatl   \n",
              "349834          RAGGA_MUFFIN   \n",
              "364333                  qubi   \n",
              "364928                Wemorg   \n",
              "365270             Mdgt_Pope   \n",
              "366544                 DJGow   \n",
              "367749        kerplunkerfish   \n",
              "379882    New-Hitler-Hillary   \n",
              "401222         Trout_Tickler   \n",
              "410604            Puffin_fan   \n",
              "414019             Ryan94985   \n",
              "421408                Kiux97   \n",
              "442200             havok0159   \n",
              "450895              calo9000   \n",
              "487177                TinHao   \n",
              "491552              Knorikus   \n",
              "507437             ellen_pao   \n",
              "509766              Jobcv314   \n",
              "531255            The_Leedle   \n",
              "578745                Nessie   \n",
              "582988           Ziffelbrixx   \n",
              "587198             SodokuIRL   \n",
              "616317  iloveyoujesuschriist   \n",
              "634685                 MrOxi   \n",
              "635051       TheCavalierLads   \n",
              "638355   RealityIsMyReligion   \n",
              "638916           curbstickle   \n",
              "653324               Thief39   \n",
              "653687         dont_wear_a_C   \n",
              "654055              FieldDay   \n",
              "711972              waldo686   \n",
              "739776           insanePower   \n",
              "750918           PoochDoobie   \n",
              "753557               Dalmazz   \n",
              "778552      wedontlikespaces   \n",
              "787209         Untoldstory55   \n",
              "\n",
              "                                                 Comments  \\\n",
              "8917                                                  NaN   \n",
              "9396                                                  NaN   \n",
              "9469                                                  NaN   \n",
              "39976                                                 NaN   \n",
              "41499    Said the bruised ego.,Pretending to be an idi...   \n",
              "56037   Going on about they lives...that's an opinion ...   \n",
              "84428                                                 NaN   \n",
              "88537                                                 NaN   \n",
              "104232  But it's wint... *falls over leg* DAMN IT!,*st...   \n",
              "127616                                                NaN   \n",
              "134668  I don't care how loud your screams are; you're...   \n",
              "161395  You're nice; but the reason I don't want to da...   \n",
              "162258  DLC 5 has been announced as a PS4 exclusive,De...   \n",
              "172361                                                NaN   \n",
              "175541  This new Shugesh form will have its own rarity...   \n",
              "207469                                                NaN   \n",
              "231580                                                NaN   \n",
              "278199  It will be better when it's one lane each way ...   \n",
              "285272  I cant believe Team: goalie with a bridge cont...   \n",
              "289901                                                NaN   \n",
              "293003  It's ok if I do it; it's those other people yo...   \n",
              "312887                                                NaN   \n",
              "334963                                                NaN   \n",
              "348402                                                NaN   \n",
              "349834                                                NaN   \n",
              "364333                                                NaN   \n",
              "364928                                                NaN   \n",
              "365270  could've,They could of played 3 bad teams in t...   \n",
              "366544                                                NaN   \n",
              "367749  We were just outside Barstow; on the edge of t...   \n",
              "379882  $10;000 cheap,Cheap V-8 Turbo Build! LS-Turbo ...   \n",
              "401222                                                NaN   \n",
              "410604  give everyone the power to share anything with...   \n",
              "414019                                                NaN   \n",
              "421408                                                NaN   \n",
              "442200                                                 []   \n",
              "450895                                                NaN   \n",
              "487177                                                NaN   \n",
              "491552                                                NaN   \n",
              "507437                                                NaN   \n",
              "509766  Oh; sorry your honor; I thought the law was *o...   \n",
              "531255  But EDM isn't music; it's just sounds *because...   \n",
              "578745                                                NaN   \n",
              "582988                                                NaN   \n",
              "587198                                                NaN   \n",
              "616317  Lend-Lease aid did not arrive in sufficient qu...   \n",
              "634685                                                NaN   \n",
              "635051                                                NaN   \n",
              "638355                                                NaN   \n",
              "638916                                                NaN   \n",
              "653324  Something like that',Great minds think alike. ...   \n",
              "653687                                                NaN   \n",
              "654055                                                NaN   \n",
              "711972  I don't think we; as law enforcement; can supp...   \n",
              "739776                                                NaN   \n",
              "750918                                                NaN   \n",
              "753557                                                NaN   \n",
              "778552                                                NaN   \n",
              "787209                                                NaN   \n",
              "\n",
              "                                          Parent Comments  Class Labels   \n",
              "8917    Because we have chosen them as sources of mind...      sarcastic  \n",
              "9396                                        woah; thanks.  non-sarcastic  \n",
              "9469    I am just shocked an upstanding group like thi...      sarcastic  \n",
              "39976   Bebe is a beautiful &amp; wonderfully gifted f...      sarcastic  \n",
              "41499                                       non-sarcastic            NaN  \n",
              "56037                                       non-sarcastic            NaN  \n",
              "84428                                   thanks Democrats.      sarcastic  \n",
              "88537                               Lol you didn't got it      sarcastic  \n",
              "104232                                          sarcastic            NaN  \n",
              "127616  Droids are just objectively better. Doesn't ta...      sarcastic  \n",
              "134668                                      non-sarcastic            NaN  \n",
              "161395                                      non-sarcastic            NaN  \n",
              "162258                                      non-sarcastic            NaN  \n",
              "172361   We need a sarcasm font. Or perhaps I'm a retard.      sarcastic  \n",
              "175541                                      non-sarcastic            NaN  \n",
              "207469                                 Will do. EU or NA?  non-sarcastic  \n",
              "231580             Yes; using game features is an exploit      sarcastic  \n",
              "278199                                          sarcastic            NaN  \n",
              "285272                                          sarcastic            NaN  \n",
              "289901                                 House \"of\" Commons  non-sarcastic  \n",
              "293003                                          sarcastic            NaN  \n",
              "312887  SERIOUSLY?! THIS IS THE FREE ITEM I GOT FOR PL...      sarcastic  \n",
              "334963  Are you proposing that the stock market should...      sarcastic  \n",
              "348402       Doesn't matter if that experience is garbage      sarcastic  \n",
              "349834    Uh; what about that looks like a ghetto to you?      sarcastic  \n",
              "364333                                         No kidding      sarcastic  \n",
              "364928                           Your favourite lol joke?      sarcastic  \n",
              "365270                                      non-sarcastic            NaN  \n",
              "366544   And thus an universal sarcasm indicator is born.      sarcastic  \n",
              "367749                                          sarcastic            NaN  \n",
              "379882                                      non-sarcastic            NaN  \n",
              "401222                                    Nah; that's Tux      sarcastic  \n",
              "410604                                      non-sarcastic            NaN  \n",
              "414019  Even if she is under 18 it isn't pornography. ...      sarcastic  \n",
              "421408       Because with the newer cell it looks stupid?      sarcastic  \n",
              "442200                                                NaN      sarcastic  \n",
              "450895  Valiant sir stands up against the console dron...      sarcastic  \n",
              "487177                                         integrity?      sarcastic  \n",
              "491552  There probably won't be master chief Might be ...      sarcastic  \n",
              "507437        very true; not all girls like the \"bad boy\"      sarcastic  \n",
              "509766                                      non-sarcastic            NaN  \n",
              "531255                                          sarcastic            NaN  \n",
              "578745  I cant tell if this is sarcasm or not; but so ...      sarcastic  \n",
              "582988  Kinda wish the article showed the bridges on t...  non-sarcastic  \n",
              "587198  LPL shitshow; EU LCS shitshow. What isn't a sh...      sarcastic  \n",
              "616317                                          sarcastic            NaN  \n",
              "634685  Make sure he doesn't overdose! Too many people...      sarcastic  \n",
              "635051  But then no one sees how many active friends y...      sarcastic  \n",
              "638355  Pharmacists of Reddit; how much do you judge p...  non-sarcastic  \n",
              "638916  if only there was a way to convey sarcasm thro...      sarcastic  \n",
              "653324                                          sarcastic            NaN  \n",
              "653687  Thu 2016-08-04 accessing vault............unlo...  non-sarcastic  \n",
              "654055                               Fuck you too; buddy.  non-sarcastic  \n",
              "711972                                          sarcastic            NaN  \n",
              "739776  jiji still shitstomps solo q against NALCS mid...  non-sarcastic  \n",
              "750918  lol I can't believe that your cat slept throug...      sarcastic  \n",
              "753557                                       Best region?      sarcastic  \n",
              "778552                          What symbol denotes suck?      sarcastic  \n",
              "787209  If only it was that simple; but one fix may im...      sarcastic  "
            ]
          },
          "execution_count": 29,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "id": "dHu7ilBxAl0i"
      },
      "outputs": [],
      "source": [
        "df5= train_df.dropna()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "id": "Wy8i9cVrAtoW"
      },
      "outputs": [],
      "source": [
        "#df2 = test_df[test_df.isna().any(axis=1)]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "hDeuAjNzAyW4",
        "outputId": "bc7c11cf-8060-4217-ea82-795442c15068"
      },
      "outputs": [],
      "source": [
        "#df2"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "h0doeXcwA3uM",
        "outputId": "72974cc7-319a-4f9f-e59a-80ba48611d7e"
      },
      "outputs": [],
      "source": [
        "#test_df.dropna()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {
        "id": "6kWDOg6cCLtD"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/tmp/ipykernel_2197415/4288661854.py:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\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",
            "  df5.rename(columns = {' Class Labels ':'label'}, inplace = True)\n"
          ]
        }
      ],
      "source": [
        "df5.rename(columns = {' Class Labels ':'label'}, inplace = True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {
        "id": "KpWM6NYqBFuW"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/tmp/ipykernel_2197415/864785083.py:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\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",
            "  df5['label'].replace(['non-sarcastic','sarcastic'],[1,0], inplace = True)\n"
          ]
        }
      ],
      "source": [
        "df5['label'].replace(['non-sarcastic','sarcastic'],[1,0], inplace = True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "bumL72PcDAht",
        "outputId": "dc48720b-00dd-4b03-b081-6d6af75b30b3"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<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",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>Comments</th>\n",
              "      <th>Parent Comments</th>\n",
              "      <th>label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ocxtitan</td>\n",
              "      <td>Central Illinois</td>\n",
              "      <td>Jesus; where do you live?</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>LeChuckly</td>\n",
              "      <td>To think - CNN used to be the acronym synonymo...</td>\n",
              "      <td>Even The CNN Staff Is Sick Of The Wall-To-Wall...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>throwitskrub8</td>\n",
              "      <td>But then again; you have to consider that all ...</td>\n",
              "      <td>agree to that part.It can also mean that gujra...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>fresherthanyouuu</td>\n",
              "      <td>ughhhhh</td>\n",
              "      <td>If a guy told you he doesn't use social media ...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>_kushagra</td>\n",
              "      <td>I should've put the</td>\n",
              "      <td>No; it's just a programming bug. After all; th...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                 ID                                           Comments  \\\n",
              "0          ocxtitan                                   Central Illinois   \n",
              "1         LeChuckly  To think - CNN used to be the acronym synonymo...   \n",
              "2     throwitskrub8  But then again; you have to consider that all ...   \n",
              "3  fresherthanyouuu                                            ughhhhh   \n",
              "4         _kushagra                                I should've put the   \n",
              "\n",
              "                                     Parent Comments  label  \n",
              "0                          Jesus; where do you live?      1  \n",
              "1  Even The CNN Staff Is Sick Of The Wall-To-Wall...      1  \n",
              "2  agree to that part.It can also mean that gujra...      1  \n",
              "3  If a guy told you he doesn't use social media ...      1  \n",
              "4  No; it's just a programming bug. After all; th...      0  "
            ]
          },
          "execution_count": 36,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df5.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Iv4UuycbUYgL",
        "outputId": "8cb2f14d-0750-4d72-b357-fe855c740f62"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 808031 entries, 0 to 808089\n",
            "Data columns (total 4 columns):\n",
            " #   Column           Non-Null Count   Dtype \n",
            "---  ------           --------------   ----- \n",
            " 0   ID               808031 non-null  object\n",
            " 1   Comments         808031 non-null  object\n",
            " 2   Parent Comments  808031 non-null  object\n",
            " 3   label            808031 non-null  int64 \n",
            "dtypes: int64(1), object(3)\n",
            "memory usage: 30.8+ MB\n"
          ]
        }
      ],
      "source": [
        "df5.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zdcZsO5rUbfa",
        "outputId": "8cf6087a-27cc-48d1-f895-50d744a4243d"
      },
      "outputs": [],
      "source": [
        "#test_df.info()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8yFX6sseGms9"
      },
      "source": [
        "**Exploratory Data Analysis**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jB7HGEorDcvH",
        "outputId": "8409445b-f751-4a81-cb78-f2220d43e05f"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0    404020\n",
              "1    404011\n",
              "Name: label, dtype: int64"
            ]
          },
          "execution_count": 39,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# to check number of sarcastic and non-sarcastic comments\n",
        "df5['label'].value_counts()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uylIXRBuBEdt"
      },
      "source": [
        "Almost equal number of sarcastic and non-sarcastic comments."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yRYnQalNFYU4",
        "outputId": "1a97f4bf-1365-480f-d030-a864071ae966"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "0    0.499969\n",
            "1    0.499958\n",
            "Name: label, dtype: float64\n"
          ]
        }
      ],
      "source": [
        "print(df5['label'].value_counts()/len(train_df))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 350
        },
        "id": "B_pE94BtBSuP",
        "outputId": "2bdb5535-3d8d-4fca-9597-7e711512739c"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(5,5))\n",
        "ax = sns.countplot(x='label',  data= df5)\n",
        "ax.set(title = \"Distribution of Classes\", xlabel=\"Sarcasm Status\", ylabel = \"Total Count\")\n",
        "total = float(len(train_df))\n",
        "for p in ax.patches:\n",
        "    height = p.get_height()\n",
        "    ax.text(p.get_x()+p.get_width()/2.,\n",
        "            height + 3,\n",
        "            '{:1.1f}%'.format((height/total)*100),\n",
        "            ha=\"center\") \n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        },
        "id": "hO5UX2J10MMb",
        "outputId": "d33ec26d-d223-4a3b-c602-17e2201577ea"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# To check if there is any relation between the length of the comment and its label\n",
        "#train_df.loc[train_df,'Comments'].str.len().apply(np.log1p).hist(label='sarcastic,alpha=.5)\n",
        "df5.loc[df5['label']==1,'Comments'].str.len().apply(np.log1p).hist(label='sarcastic', alpha=.5)\n",
        "df5.loc[df5['label']==0,'Comments'].str.len().apply(np.log1p).hist(label='non-sarcastic', alpha=.5)\n",
        "plt.legend()\n",
        "plt.title('Natural Log Length of Comments')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_9o3RzVnd70t"
      },
      "source": [
        "Sarcastic comments are normally distributed in length. Non-sarcastic comments has a right-skew."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 43,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 386
        },
        "id": "wOkkCnR6B939",
        "outputId": "fd76ec42-f99d-4da9-f9cd-0d9affd76693"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/tmp/ipykernel_2197415/2449768073.py:8: MatplotlibDeprecationWarning: The 'b' parameter of grid() has been renamed 'visible' since Matplotlib 3.5; support for the old name will be dropped two minor releases later.\n",
            "  plt.grid(b= False)\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1200x1200 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Most common words in the sarcastic comments \n",
        "wordcloud = WordCloud(background_color='black', stopwords = STOPWORDS,\n",
        "                max_words = 200, max_font_size = 100, \n",
        "                random_state = 17, width=800, height=400)\n",
        "\n",
        "plt.figure(figsize=(12, 12))\n",
        "wordcloud.generate(str(df5.loc[df5['label'] == 1, 'Parent Comments']))\n",
        "plt.grid(b= False)\n",
        "plt.imshow(wordcloud);"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "metadata": {
        "id": "G6sZoOaLCuDl"
      },
      "outputs": [],
      "source": [
        "# Comparing sarcastic comments with Parent comments\n",
        "sarcasm_comm_len = np.array(df5.loc[df5['label'] == 1]['Comments'].str.len())\n",
        "parent_comm_len = np.array(df5.loc[df5['label'] == 1]['Parent Comments'].str.len())\n",
        "ratio_len = np.array((df5.loc[df5['label'] == 1]['Comments'].str.len())/(df5.loc[df5['label'] == 1]['Parent Comments'].str.len()))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {
        "id": "gRR1wNN9DIFw"
      },
      "outputs": [],
      "source": [
        "d = pd.DataFrame({'Comment Length': sarcasm_comm_len, 'Parent Comment Length': parent_comm_len, 'Ratio Length': ratio_len}, columns=['Comment Length', 'Parent Comment Length', 'Ratio Length'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "c8bNU05FDQeU",
        "outputId": "2ffca103-5cd7-4b6e-8916-762aaba0c5be"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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vhlarxezZs8Hn636kn1YG4nnewwKBAB999JFO+6effgrGGPbv36/T3r17d3h7e3OPK96rAwcO1Nnmk97DVlZWGDJkCPe4YcOGkMvlCAoK4p5T1fMZY9ixYwf69esHxhgyMzO5n7CwMOTl5em9v9977z2dMUKhoaFVxmRMO3fuhFarxaBBg3RidHZ2RoMGDXDs2DGd/lZWVjpjikQiEdq2basT44EDB+Dm5oY33niDa5NIJBg3bpzB8T3vMan4/VFYWAgAOH36NF5//XU0b94cp06dAgCcOnUKPB4PnTp1MjiuCtU5Hk9z6NAhODg4wMHBAc2aNcP27dsxYsQIfPfddwB0P8slJSXIzMxE+/btAaDK34+P/74zxetriLrwHTV27Fju/3K5HA0bNoSlpSUGDRrEtVd87is/f/v27QgNDYWNjY3Ose3Rowc0Gg1Onjyps53BgwfDxsaGe/wyPt+V0WD45ySVSgEA+fn51er/4MED8Pl8+Pv767Q7OztDLpfjwYMHOu2V36gAIJPJAAAeHh5Vtufk5Oi08/l8+Pr66rQFBAQAAO7fv8+17dmzB/Pnz0d0dDRKS0u59qq+oH18fJ64f1V5fB8q3ug5OTmQSqXcMXl8vY8fo6dxcXHBmjVrsHr1asTFxeHgwYP47rvvMHv2bLi4uHAf5MTERMyePRt//fWX3rGqSIAqmJmZwd3dXaft3r17cHV1ha2t7VPjOXPmDObMmYPIyEgUFRXpbUcmk6FLly4YOHAg5s2bhyVLluC1115D//79MWzYMIjF4mrve+XY+Hy+QUkw8HzvYVdXV71f3EFBQdzyyl70Pezu7q73PpTJZM98fkZGBnJzc7Fu3bon3k2Vnp7+1Fgrv1dNJS4uDowxNGjQoMrlQqFQ53FVx8PGxgYxMTHc4wcPHsDPz0+vnyGfqQrPe0xCQ0OhVqsRGRkJDw8PpKenIzQ0FLGxsTqJVnBw8DM/T09TnePxNO3atcP8+fPB4/FgYWGBoKAg7o8goPyu5nnz5mHr1q1675fHf2cA+r8fTfH6GqK2f0dJJBI4ODjo9X3S577y8+Pi4hATE6P3/Aq14fNdGSVaz0kqlcLV1dXgO7KqW2hSIBAY1F757E11nTp1Cm+88QY6d+6M1atXw8XFBUKhEL/88gu2bNmi17/yX3jVYcxYn4XH4yEgIAABAQEIDw9HgwYNsHnzZowdOxYajQY9e/ZEdnY2pk+fjsDAQFhaWiI5ORmjR4+GVqvVWZdYLNY7M1Qd9+7dQ/fu3REYGIgffvgBHh4eEIlE2LdvH5YsWcJtp6IY5Llz5/D333/j4MGDGDNmDL7//nucO3fupZWk8Pf3h5mZGa5du2aS9b/oe/h5n19xnN99912MGjWqyr5NmzZ9rpiMSavVgsfjYf/+/VVu//H3wcuO8Xm317p1a0gkEpw8eRKenp5wdHREQEAAQkNDsXr1apSWluLUqVN46623aiS+Cvb29ujRo8cTlw8aNAhnz57FtGnT0Lx5c1hZWUGr1aJ37956vzMA/d+PNf361vbvqBd5vlarRc+ePfH5559X2bfipIKhMZkKJVovoG/fvli3bh0iIyN1TqFWxcvLC1qtFnFxcdwZAABIS0tDbm4uvLy8jBqbVqtFfHy8zhvuzp07AMBdztmxYwckEgkOHjyocybll19+MWosT1JxTBISEnT+6rt79+4LrdfX1xc2NjZITU0FAFy7dg137tzBxo0bMXLkSK7f4cOHq71OPz8/HDx4ENnZ2U/8K/zvv/9GaWkp/vrrL52/oB6/RFChffv2aN++Pb755hts2bIFw4cPx9atWzF27FiDKr/7+flBq9Xixo0bBtUbsrCwQLdu3XD06FEkJSXp/SX6OC8vL/zzzz/Iz8/XOat169Ytbnlt4ODgAGtra2g0mqd+kRrK2NX4/fz8wBiDj4+P3hfD8/Ly8sKNGzfAGNOJt6rPlKlmF6i45HXq1Cl4enpyl2lCQ0NRWlqKzZs3Iy0tDZ07d37qempy9oOcnBwcOXIE8+bNw+zZs7n2uLi4aq/DFK+vocekNn9HvQg/Pz8UFBTU6s93ZTRG6wV8/vnnsLS0xNixY5GWlqa3/N69e1i2bBkA4PXXXwcAvUrMP/zwAwAgPDzc6PGtXLmS+z9jDCtXroRQKET37t0BlGf5PB5Pp/L3/fv3sXv3bqPHUpWwsDAAwOrVq3XaV6xYUa3nnz9/nhsHUtmFCxeQlZWFhg0bAnj010zlv14YY9xrUx0DBw4EY4wrIlpZxXqr2k5eXp5e4pqTk6P3l1RFglRx+dbCwgIAkJub+8zY+vfvDz6fj6+++krvL+1n/cU2Z84cMMYwYsSIKivpR0VFYePGjQDK38MajUbnfQUAS5YsAY/HQ58+fZ4Z68sgEAgwcOBA7Nixo8q/5jMyMp5rvZaWllVeMnpeAwYMgEAgwLx58/ReJ8YYsrKyDF5nWFgYkpOT8ddff3FtJSUl+Omnn/T6Gnt/KgsNDcX58+dx7NgxLtGyt7dHUFAQNwaqov1JKupQVeczYGxVfZYB/d/fT2OK19fQY1Lbv6Oe16BBgxAZGYmDBw/qLcvNzYVarTZ4naZ8v9EZrRfg5+eHLVu2YPDgwQgKCtKpunv27Fls374do0ePBgA0a9YMo0aNwrp165Cbm4suXbrgwoUL2LhxI/r374+uXbsaNTaJRIIDBw5g1KhRaNeuHfbv34+9e/fiP//5D3ddOzw8HD/88AN69+6NYcOGIT09HatWrYK/v/9zjwswRKtWrTBw4EAsXboUWVlZaN++PU6cOMGdeXvWXxi//fYbNm/ejLfeegutWrWCSCTCzZs3sWHDBkgkEq6aeWBgIPz8/PDZZ58hOTkZUqkUO3bsMOj6fNeuXTFixAgsX74ccXFx3OWDU6dOoWvXrpg0aRJ69eoFkUiEfv364f3330dBQQF++uknODo6cmfXAGDjxo1YvXo13nrrLfj5+SE/Px8//fQTpFIp98vO3NwcwcHB+OOPPxAQEABbW1s0bty4yvnd/P398eWXX+Lrr79GaGgoBgwYALFYjIsXL8LV1RXffvvtE/erQ4cOWLVqFT788EMEBgbqVIY/fvw4/vrrL8yfPx8A0K9fP3Tt2hVffvkl7t+/j2bNmuHQoUP4v//7P0yZMgV+fn7VPp6mtnDhQhw7dgzt2rXDuHHjEBwcjOzsbFy+fBn//PMPsrOzDV5nq1at8Mcff+CTTz5BmzZtYGVlhX79+j31OXfv3uWOX2UtWrRAeHg45s+fjxkzZuD+/fvo378/rK2tkZCQgF27dmH8+PH47LPPDIrx/fffx8qVKzF06FB8/PHHcHFxwebNm7miwpU/U8+zP9UVGhqKb775BklJSToJVefOnfHjjz/C29tbbxzk4/z8/CCXy7F27VpYW1vD0tIS7dq1M3is6POQSqXo3LkzFi1aBJVKBTc3Nxw6dAgJCQnVXoefn5/RX19Dj0lt/o56EdOmTcNff/2Fvn37YvTo0WjVqhUKCwtx7do1/Pnnn7h//z7s7e0NWmerVq0AAB999BHCwsIgEAh0bsZ5ISa5l/EVc+fOHTZu3Djm7e3NRCIRs7a2Zh07dmQrVqzQKfSmUqnYvHnzmI+PDxMKhczDw+OpxeAeB5QXgaysckG2ClUVLHVycmJz5szRu/3/559/Zg0aNGBisZgFBgayX375pco6TVVtu/Kyqso7VC4jwRhjv/zyi95t/IWFhWzixInM1taWWVlZsf79+7Pbt28zAGzhwoVVbq9CTEwMmzZtGmvZsiWztbVlZmZmzMXFhb3zzjt6BfJu3LjBevTowaysrJi9vT0bN24cV96g8q3SFceuKmq1mi1evJgFBgYykUjEHBwcWJ8+fVhUVBTX56+//mJNmzblipB+9913bMOGDTr7ffnyZTZ06FDm6enJxGIxc3R0ZH379mWXLl3S2d7Zs2dZq1atmEgk0jnGTypYumHDBtaiRQsmFouZjY0N69KlS5WFPKsSFRXFhg0bxlxdXZlQKGQ2Njase/fubOPGjTrvmfz8fDZ16lSuX4MGDZ5asLSyqt6rjD0qJ1C5UG5FAcfHGfLZSEtLYxMnTmQeHh5MKBQyZ2dn1r17d7Zu3bqnbrtyrJXfGwUFBWzYsGFMLpczoHoFSwH9IogAWEREBNdvx44drFOnTszS0pJZWlqywMBANnHiRHb79u1nHo9Ro0bpxREfH8/Cw8OZubk5c3BwYJ9++inbsWMHA6BTFuNJ+2PIMXkSpVLJBAIBs7a2Zmq1mmvftGkTA8rr5j3u8fIOjJXfhl9RILnytg05HlWpTo2zhw8fsrfeeovJ5XImk8nYO++8w1JSUqr9+66CsV/fJx2Tp6mt31GPM+Rzn5+fz2bMmMH8/f2ZSCRi9vb2rEOHDuy///0vVx/rSb9zKmKt/Dqq1Wo2efJk5uDgwHg8nlFLPfD+3SCpR0aPHo0///yzzk6qHB0djRYtWmDTpk0YPnx4TYdDSJ23dOlSTJ06FQ8fPoSbm1tNh0PIK4XGaJEaVdXM8UuXLgWfz3/mYFlCiL7HP1MlJSX48ccf0aBBA0qyCKkBNEaL1KhFixYhKioKXbt2hZmZGfbv34/9+/dj/Pjxz7wLjhCib8CAAfD09ETz5s2Rl5eHTZs24datW9i8eXNNh0bIK4kSLVKjOnTogMOHD+Prr79GQUEBPD09MXfuXHz55Zc1HRohdVJYWBjWr1+PzZs3Q6PRIDg4GFu3bsXgwYNrOjRCXkk1eunw5MmT6NevH1xdXcHj8XTKCqhUKkyfPh1NmjSBpaUlXF1dMXLkSKSkpOisIzs7G8OHD4dUKoVcLkdERITe2KSYmBiEhoZCIpHAw8MDixYt0otl+/btCAwMhEQiQZMmTbjpCOqiX3/9tc6Mz+rZsydOnz6N7OxslJWV4e7du5gzZw7MzOhvAEKex5QpU3D9+nUUFBSguLgYUVFRlGQRUoNqNNEqLCxEs2bNsGrVKr1lRUVFuHz5MmbNmoXLly9j586duH37ts4cXgAwfPhwxMbG4vDhw9izZw9OnjyJ8ePHc8uVSiV69eoFLy8vREVFYfHixZg7d67O1Bxnz57F0KFDERERgStXrqB///7o37+/wRV1CSGEEEIqqzV3HfJ4POzatQv9+/d/Yp+LFy+ibdu2ePDgATw9PXHz5k0EBwfj4sWLaN26NYDySVVff/11PHz4EK6urlizZg2+/PJLKBQKboLUL774Art37+YqWg8ePBiFhYXYs2cPt6327dujefPmWLt2rel2mhBCCCH1Wp26PpOXlwcej8dN/BkZGQm5XM4lWQDQo0cP8Pl8nD9/Hm+99RYiIyPRuXNnnVnow8LC8N133yEnJwc2NjaIjIzUm7E8LCzsqRXSS0tLdSZh1mq1yM7Ohp2dXY1OHUEIIYSQ6mOMIT8/H66urs81z+2z1JlEq6SkBNOnT8fQoUO5WckVCgUcHR11+pmZmcHW1hYKhYLr83jVXCcnJ26ZjY0NFAoF11a5T8U6qvLtt99WOR0LIYQQQuqepKSkZ85Y8DzqRKKlUqkwaNAgMMawZs2amg4HADBjxgyds2B5eXnw9PREUlISlwgSQgghpHZTKpXw8PCAtbW1SdZf6xOtiiTrwYMHOHr0qE4S4+zsjPT0dJ3+arUa2dnZcHZ25vo8PplmxeNn9alYXhWxWAyxWKzXLpVKKdEihBBC6hhTDfup1ZXhK5KsuLg4/PPPP7Czs9NZHhISgtzcXERFRXFtR48ehVarRbt27bg+J0+ehEql4vocPnwYDRs2hI2NDdfnyJEjOus+fPgwQkJCTLVrhBBCCHkF1GiiVVBQgOjoaERHRwMAEhISEB0djcTERKhUKrz99tu4dOkSV3hPoVBAoVCgrKwMABAUFITevXtj3LhxuHDhAs6cOYNJkyZhyJAhcHV1BQAMGzYMIpEIERERiI2NxR9//IFly5bpXPb7+OOPceDAAXz//fe4desW5s6di0uXLmHSpEkv/ZgQQgghpB4x2vTUz6FilvjHf0aNGsXNul3Vz7Fjx7h1ZGVlsaFDhzIrKysmlUrZe++9x/Lz83W2c/XqVdapUycmFouZm5sbW7hwoV4s27ZtYwEBAUwkErFGjRqxvXv3GrQveXl5DADLy8t7rmNBCCGEkJfP1N/ftaaOVl2nVCohk8mQl5dHY7QIIYQYhUaj0Rn6QgwnFAohEAieuNzU39+1fjA8IYQQ8qphjEGhUCA3N7emQ6kX5HI5nJ2da6TOJSVahBBCSC1TkWQ5OjrCwsKCCmE/J8YYioqKuAoFLi4uLz0GSrQIIYSQWkSj0XBJ1uN32xPDmZubAwDS09Ph6Oj41MuIplCryzsQQgghr5qKMVkWFhY1HEn9UXEsa2K8GyVahBBCSC1ElwuNpyaPJSVahBBCCCEmQmO06pFSlQZRD3JwMFYBuYUIPYOd0NhNVtNhEUIIIa8sOqNVj0TGZ2HY+vPYGPkAy47EYci6c7iZqqzpsAghhLwiTp48iX79+sHV1RU8Hg+7d+/WWc4Yw+zZs+Hi4gJzc3P06NEDcXFxOn2ys7MxfPhwSKVSyOVyREREoKCgQKdPTEwMQkNDIZFI4OHhgUWLFpl6154bJVr1RJlag3Un43XaCkrVuJKYU0MREUIIedUUFhaiWbNmWLVqVZXLFy1ahOXLl2Pt2rU4f/48LC0tERYWhpKSEq7P8OHDERsbi8OHD2PPnj04efIkxo8fzy1XKpXo1asXvLy8EBUVhcWLF2Pu3LlYt26dyffvedClw3pEW0WRf6r7Twghrya1Wo3du3dj586dUCgUcHZ2xoABA9C/f3+YmZnm679Pnz7o06dPlcsYY1i6dClmzpyJN998EwDwv//9D05OTti9ezeGDBmCmzdv4sCBA7h48SJat24NAFixYgVef/11/Pe//4Wrqys2b96MsrIybNiwASKRCI0aNUJ0dDR++OEHnYSstqAzWvWEyEyA8aG+Om0WIgFaeMprJiBCCCE1Rq1WY+rUqVi4cCHi4uKgVCoRFxeHhQsXYurUqVCr1S89poSEBCgUCvTo0YNrk8lkaNeuHSIjIwEAkZGRkMvlXJIFAD169ACfz8f58+e5Pp07d4ZIJOL6hIWF4fbt28jJqX1XcSjRqkdC/O3w25i2eLuVO97v7Iut49oj2JUGwxNCyKtm9+7dXPJSMaVxxb+RkZF6Y6deBoVCAQBwcnLSaXdycuKWKRQKODo66iw3MzODra2tTp+q1lF5G7UJXTqsR8yFZggNcEBogMNT+5WpNUjILEKJSgMvOwvILURP7U8IIaRu2blzJ3g8HpdcVcbj8bBz5068/fbbNRDZq4cSrVdMblEZNpxOwKrj96DRMjT3kOO/7zSFv6N1TYdGCCHESBQKRZVJFlB+ZistLe0lRwQ4OzsDANLS0nTmHExLS0Pz5s25PhXzElZQq9XIzs7mnu/s7KwXf8Xjij61CV06fMVce5iH5UfvQqMt/wBGJ+Xit8gH3GNCCCF1n7Oz8xOrofN4PL1Lby+Dj48PnJ2dceTIEa5NqVTi/PnzCAkJAQCEhIQgNzcXUVFRXJ+jR49Cq9WiXbt2XJ+TJ0/qTKdz+PBhNGzYEDY2Ni9pb6qPEq1XTGJ2kV7bsdsZyC95+fM/EUIIMY0BAwY89YzWgAEDTLLdgoICREdHIzo6GkD5APjo6GgkJiaCx+NhypQpmD9/Pv766y9cu3YNI0eOhKurK/r37w8ACAoKQu/evTFu3DhcuHABZ86cwaRJkzBkyBC4uroCAIYNGwaRSISIiAjExsbijz/+wLJly/DJJ5+YZJ9eFF06fMW425rrtXUOsIeVmN4KhBBSX/Tv3x8nTpxAZGQkN1ar4t8OHTpwiY2xXbp0CV27duUeVyQ/o0aNwq+//orPP/8chYWFGD9+PHJzc9GpUyccOHAAEomEe87mzZsxadIkdO/eHXw+HwMHDsTy5cu55TKZDIcOHcLEiRPRqlUr2NvbY/bs2bWytAMA8NiTUl5iEKVSCZlMhry8PEil0poO54lyi8qw9sQ9rDsZDy0DglyssXxICzRwojFahBBSG5SUlCAhIQE+Pj46CYihKtfRSktLg5OTk8nraNVWTzumpv7+frWONIHcQoSpPQPwZnM3FJdp4G1vAVtLcU2HRQghxMjMzMzw9ttv092FNYwSrVeQ2EyAIJfae9aNEEIIqS9oMDwhhBBCiIlQokUIIYQQYiKUaBGTK1ZpoFJrazoMQggh5KWjMVrEZHKKynDkZhp+PXsfzlIJxnf2QxtvmycW0SOEEELqG0q0iMkcilVg+o5rAIDryUqcuJOBnR90QBN3ec0GRgghhLwkdOmQmERBiQrrTyXotKk0DDdSlTUUESGEEPLyUaJFTMJMwIedlUiv3UIkqIFoCCGEkJpBiRYxCYlQgMndGkDAfzQey93GHE3c5DUXFCGEEPKSUaJFTKadjy3+nBCCr95shB8GNcNvEe3gbW9Z02ERQggxkW+//RZt2rSBtbU1HB0d0b9/f9y+fVunT0lJCSZOnAg7OztYWVlh4MCBSEtL0+mTmJiI8PBwWFhYwNHREdOmTYNardbpc/z4cbRs2RJisRj+/v749ddfTb17z4UGwxOTMRPw0cLTBi08bWo6FEIIeSWlpaXhwIEDyM7Ohq2tLXr37g0nJyeTbe/EiROYOHEi2rRpA7Vajf/85z/o1asXbty4AUvL8j+0p06dir1792L79u2QyWSYNGkSBgwYgDNnzgAANBoNwsPD4ezsjLNnzyI1NRUjR46EUCjEggULAAAJCQkIDw/HhAkTsHnzZhw5cgRjx46Fi4sLwsLCTLZ/z4MmlTaSujKpNCGEkNrNGJNKq9VqLFmyBNu3bwcA8Pl8aLXl9QzfeecdTJ069aVMLJ2RkQFHR0ecOHECnTt3Rl5eHhwcHLBlyxZuDsZbt24hKCgIkZGRaN++Pfbv34++ffsiJSWFSwrXrl2L6dOnIyMjAyKRCNOnT8fevXtx/fp1bltDhgxBbm4uDhw4oBdHTU4qTZcOCSGEkHpmyZIl2LZtG7RaLbRaLdRqNff/bdu2YcmSJS8ljry8PACAra0tACAqKgoqlQo9evTg+gQGBsLT0xORkZEAgMjISDRp0kTnzFtYWBiUSiViY2O5PpXXUdGnYh21CSVahBBCSD2SlpaGbdu24UkXrBhj2L59u964KGPTarWYMmUKOnbsiMaNGwMAFAoFRCIR5HK5Tl8nJycoFAquz+OXNyseP6uPUqlEcXGxKXbnuVGiRQghhNQjBw4cqNYMHAcPHjRpHBMnTsT169exdetWk26ntqNEixBCCKlHsrOzwec//eudz+cjKyvLZDFMmjQJe/bswbFjx+Du7s61Ozs7o6ysDLm5uTr909LS4OzszPV5/GxbxeNn9ZFKpTA3Nzf27rwQSrQIIYSQesTW1pYb+P4kWq0WdnZ2Rt82YwyTJk3Crl27cPToUfj4+Ogsb9WqFYRCIY4cOcK13b59G4mJiQgJCQEAhISE4Nq1a0hPT+f6HD58GFKpFMHBwVyfyuuo6FOxjtqEEi1CCCGkHundu3e1+pmiDMLEiROxadMmbNmyBdbW1lAoFFAoFNy4KZlMhoiICHzyySc4duwYoqKi8N577yEkJATt27cHAPTq1QvBwcEYMWIErl69ioMHD2LmzJmYOHEixGIxAGDChAmIj4/H559/jlu3bmH16tXYtm0bpk6davR9elGUaBFCCCH1iJOTE955550njtPi8Xh45513TFJPa82aNcjLy8Nrr70GFxcX7uePP/7g+ixZsgR9+/bFwIED0blzZzg7O2Pnzp3ccoFAgD179kAgECAkJATvvvsuRo4cia+++orr4+Pjg7179+Lw4cNo1qwZvv/+e6xfv77W1dACqI6W0VAdLUIIIcZQn+po1RY1WUfr1TnKhBBCyCvCzMwM06ZNw8iRI3Hw4EFkZWXBzs4OYWFhJq0MT/RRokUIIYTUU05OThg5cmRNh/FKozFahBBCCCEmQokWIYQQQoiJUKJFCCGEEGIilGgRQgghhJgIJVqEEEIIISZCiRYhhBBCiIlQokUIIYQQYiKUaBFCCCGEmAglWoQQQkg9VlhYiLS0NBQWFpp8W2vWrEHTpk0hlUohlUoREhKC/fv3c8tLSkowceJE2NnZwcrKCgMHDkRaWprOOhITExEeHg4LCws4Ojpi2rRpUKvVOn2OHz+Oli1bQiwWw9/fH7/++qvJ9+151WiidfLkSfTr1w+urq7g8XjYvXu3znLGGGbPng0XFxeYm5ujR48eiIuL0+mTnZ2N4cOHQyqVQi6XIyIiAgUFBTp9YmJiEBoaColEAg8PDyxatEgvlu3btyMwMBASiQRNmjTBvn37jL6/hBBCyMty6dIlTJkyBa+99hrCw8Px2muvYerUqbh06ZLJtunu7o6FCxciKioKly5dQrdu3fDmm28iNjYWADB16lT8/fff2L59O06cOIGUlBQMGDCAe75Go0F4eDjKyspw9uxZbNy4Eb/++itmz57N9UlISEB4eDi6du2K6OhoTJkyBWPHjsXBgwdNtl8vhNWgffv2sS+//JLt3LmTAWC7du3SWb5w4UImk8nY7t272dWrV9kbb7zBfHx8WHFxMdend+/erFmzZuzcuXPs1KlTzN/fnw0dOpRbnpeXx5ycnNjw4cPZ9evX2e+//87Mzc3Zjz/+yPU5c+YMEwgEbNGiRezGjRts5syZTCgUsmvXrlV7X/Ly8hgAlpeXZ9AxyMwvYfnFZdxjZVEZyyooMWgdhBBC6o/i4mJ248YNne86Q23ZsoW1atWKtW3blrVq1Yr7qXj8+++/GzHip7OxsWHr169nubm5TCgUsu3bt3PLbt68yQCwyMhIxlh5XsDn85lCoeD6rFmzhkmlUlZaWsoYY+zzzz9njRo10tnG4MGDWVhY2BNjeNoxfd7v7+qq0USrsscTLa1Wy5ydndnixYu5ttzcXCYWi7k3yI0bNxgAdvHiRa7P/v37GY/HY8nJyYwxxlavXs1sbGy4F4gxxqZPn84aNmzIPR40aBALDw/Xiaddu3bs/fffr3b81X2h7qXns1/OJLAZO66yLecesEmbo1j/VafZ+fhMduRmGuuz7CTr8O0RtuF0PMvMp4SLEEJeNS+aaF28eFEnuXrST+XvTlNQq9Xs999/ZyKRiMXGxrIjR44wACwnJ0enn6enJ/vhhx8YY4zNmjWLNWvWTGd5fHw8A8AuX77MGGMsNDSUffzxxzp9NmzYwKRS6RNjqclEq9aO0UpISIBCoUCPHj24NplMhnbt2iEyMhIAEBkZCblcjtatW3N9evToAT6fj/Pnz3N9OnfuDJFIxPUJCwvD7du3kZOTw/WpvJ2KPhXbMZaU3GKM+98lzP0rFlsuJGHGrmtwkZsjOacYF+/nIGLjRdxIUSI5txjz/r6BwzfSnr1SQgghpJJNmzZBIBA8tY9AIMDmzZtNsv1r167BysoKYrEYEyZMwK5duxAcHAyFQgGRSAS5XK7T38nJCQqFAgCgUCjg5OSkt7xi2dP6KJVKFBcXm2SfXkStTbQqDmhVB7PywXZ0dNRZbmZmBltbW6O8aBXLq1JaWgqlUqnz8yy3Ffm4l6E7GHHrhUT0a+aK3CIVGNPt/9u5ByhWaZ65XkIIIQQoH/h+5swZaDRP/+7QaDQ4ffo0ioqKjB5Dw4YNER0djfPnz+ODDz7AqFGjcOPGDaNvp66otYlWbfftt99CJpNxPx4eHs98jvbxTAqAWsvAAyAR6r8UXnYWEPJ5xgiX1KDCMjVupihxR5GPUjUlzoQQ0ykoKACr4rumKowx5OfnGz0GkUgEf39/tGrVCt9++y2aNWuGZcuWwdnZGWVlZcjNzdXpn5aWBmdnZwCAs7Oz3l2IFY+f1UcqlcLc3Nzo+/Oiam2iVXFAqzqYlQ92enq6znK1Wo3s7GyjvGgVy6syY8YM5OXlcT9JSUnP3KeGztZwl0t02ga19sD+6wpYigTwc7Dk2iVCPsZ28oWZoNa+RKQakrKL8Nm2q+iz/BR6LzuJ7/bfQmZ+aU2HRQipp6ysrMDjVe8PdB6PB2traxNHBGi1WpSWlqJVq1YQCoU4cuQIt+z27dtITExESEgIACAkJATXrl3T+W4/fPgwpFIpgoODuT6V11HRp2IdtY1ZTQfwJD4+PnB2dsaRI0fQvHlzAIBSqeRORQLlBzs3NxdRUVFo1aoVAODo0aPQarVo164d1+fLL7+ESqWCUCgEUP6CNGzYEDY2NlyfI0eOYMqUKdz2n/WiicViiMVig/bJ3cYCv7zXFvuup+JGihI9gpxgayFER387NHKVoW9TV1xPyUOJSotAF2sEOksNWj+pfQ7GKrD/evklaC0DNpy5jzbetujTxKWGIyOE1EeWlpbo2LEjIiMjn3r5UCAQoEOHDrCwsDDq9mfMmIE+ffrA09MT+fn52LJlC44fP46DBw9CJpMhIiICn3zyCWxtbSGVSjF58mSEhISgffv2AIBevXohODgYI0aMwKJFi6BQKDBz5kxMnDiR+86dMGECVq5cic8//xxjxozB0aNHsW3bNuzdu9eo+2IsNZpoFRQU4O7du9zjhIQEREdHw9bWFp6enpgyZQrmz5+PBg0awMfHB7NmzYKrqyv69+8PAAgKCkLv3r0xbtw4rF27FiqVCpMmTcKQIUPg6uoKABg2bBjmzZuHiIgITJ8+HdevX8eyZcuwZMkSbrsff/wxunTpgu+//x7h4eHYunUrLl26hHXr1hl9nxs4WeNjpyf/BeFua9w3PalZVd3QEJ2US4kWIcRk3n33XZw+ffqpfTQaDYYPH270baenp2PkyJFITU2FTCZD06ZNcfDgQfTs2RMAsGTJEvD5fAwcOBClpaUICwvD6tWruecLBALs2bMHH3zwAUJCQmBpaYlRo0bhq6++4vr4+Phg7969mDp1KpYtWwZ3d3esX78eYWFhRt8fozDJvYzVdOzYMQZA72fUqFGMsfISD7NmzWJOTk5MLBaz7t27s9u3b+usIysriw0dOpRZWVkxqVTK3nvvPZafn6/T5+rVq6xTp05MLBYzNzc3tnDhQr1Ytm3bxgICAphIJGKNGjVie/fuNWhfTH17KKmbVh65w7ym79H52X3lYU2HRQipxYxRR+v333+vNXW0aoOaLO/AY6yao+bIUymVSshkMuTl5UEqfb5LfmqNFsoSFawlQghpbFa9kJBZiM+2RSMqMRcA0K+pC/4THgQXWe0bsEkIqR1KSkqQkJAAHx8fSCSSZz/hCS5duoTNmzfj9OnTYIyBx+MhNDQUw4YN0ymL9Cp42jE1xvf309TaMVqvmri0fPx8OgEn7mQgtIEDxob6IOAplxhrUnZhKWJTlMgtUsHXwRJBzlLw6e7IKvnYW2L96DaIzyiEGZ8HPwdLWEmENR0WIeQV0Lp1a7Ru3RpFRUXIz8+HtbW10cdkkWejRKsWyC0qwyfbonEtubwW17ZLSbj6MBdbxraDnZVhA+5NLbuwFHP+LxZ/x6QCAMz4PGwY3QadAxxqOLLay8ZChFZeomd3JIQQE7CwsKAEqwbR9ala4EFWEZdkVbityMeDLOMXkntRN1PzuSQLKK8DNvev68gpKqvBqAghhJDaiRKtWsBcJIDZY5fe+Lzy9tomr1il1/YwpwRFZVSIkxBCCHkcJVq1gI+dJT7q3kCn7YMufvC1t3zCM2qOr4MlRI8N1B/Q0g2O1rXrEichhBBSG9AYrVpAaMbH6A5eaOklR3JOMdzk5mjsJoNYWPvOaDV0ssbGMW3w9Z6buJ9ViAEt3DCusy/dJUkIIYRUgRKtWkJqLkIn/9o/oJzH4yHEzx6/j2+PolI1HKzFNE0QIYQQ8gSUaJHnIjMXQmZOZQoIIYSQp6FTEYQQQgghJkKJFiGEEFIPMcYQHR2NJUuW4KuvvsKSJUsQHR2NlzUhzMKFC8Hj8TBlyhSuraSkBBMnToSdnR2srKwwcOBApKXpzgmbmJiI8PBwWFhYwNHREdOmTYNardbpc/z4cbRs2RJisRj+/v749ddfX8IePR+6dFiLabQM8RkFSM8vhbNUAl8HS/B4VIGdEELI0925cwczZ85EfHw8BIJHN1Zt3rwZvr6+mD9/PgICAky2/YsXL+LHH39E06ZNddqnTp2KvXv3Yvv27ZDJZJg0aRIGDBiAM2fOACif7Do8PBzOzs44e/YsUlNTMXLkSAiFQixYsAAAkJCQgPDwcEyYMAGbN2/GkSNHMHbsWLi4uNTKiaVprkMjMfZcSVotw95rqfh021WUabSQCPlYPqQFejVyNkK0L49ao4VGy2rlHZSEEFIbvehch3fu3EFERARKS0uh1Wr1lvP5fIjFYvz8888mSbYKCgrQsmVLrF69GvPnz0fz5s2xdOlS5OXlwcHBAVu2bMHbb78NALh16xaCgoIQGRmJ9u3bY//+/ejbty9SUlLg5OQEAFi7di2mT5+OjIwMiEQiTJ8+HXv37sX169e5bQ4ZMgS5ubk4cOBAlTHV5FyHdOmwlkrIKsRn28uTLAAoUWnx2farSMourOHIqu9KYg6m/hGNQesisf1SErILS6v9XI2WIa9YBa2W/g4ghJDqYoxh5syZT0yyAECr1aK0tBQzZ840yWXEiRMnIjw8HD169NBpj4qKgkql0mkPDAyEp6cnIiMjAQCRkZFo0qQJl2QBQFhYGJRKJWJjY7k+j687LCyMW0dtQ5cOa6msglKUqnU/JMoSNbIKVfCwraGgDHBLocSwn86jWFVeMf5qUgy+frMRRoR4P/O5cWn52Bj5AKfjMtAt0AnvtveEr4OViSMmhJC67+rVq4iPj39mP61Wi/j4eMTExKBZs2ZG2/7WrVtx+fJlXLx4UW+ZQqGASCSCXC7XaXdycoJCoeD6VE6yKpZXLHtaH6VSieLiYpibmxtrd4yCzmjVUs4yc0jNdfNgB2sxnKXPrsBeWKZGck4RCsvUz+xrKrdS87kkq8KPJ+ORXfj0ORGzCkox+fcr2HTuAe5nFWHDmQR8/mdMlVP/EEII0XXs2DGdMVlPIxAIcPToUaNtOykpCR9//DE2b978XJc86ytKtGopT1sLrB7eEg7/Tm3jIpNg1bCWcJY9PVOPTcnD+I2X0GXxcUz4LQqxKXkvI1w9YjP9t5bMXAih4OmD+RMyC3FLka/TdulBDhKza98E24QQUtvk5+c/u9ML9H+aqKgopKeno2XLljAzM4OZmRlOnDiB5cuXw8zMDE5OTigrK0Nubq7O89LS0uDsXD7+2NnZWe8uxIrHz+ojlUpr3dksgC4d1mqd/B3w96SOyCosg4OVGI7Sp/+FkK4swfu/ReFhTjEA4FRcJhKzL2PHhA6wf8lzETZ2k8LH3hIJmeVjyng84NNeDWEteXqRU3OhADweUHnYgBmfV2XiRgghRJe1tbVJ+z9N9+7dce3aNZ229957D4GBgZg+fTo8PDwgFApx5MgRDBw4EABw+/ZtJCYmIiQkBAAQEhKCb775Bunp6XB0dAQAHD58GFKpFMHBwVyfffv26Wzn8OHD3DpqG0q0ajlnmfkzz2JVSMop4pKsCg+yipCUU/TSEy0PW0v88l4bRN3PRk6RCs085GjmLnvm8/wcLTG6gzd+OXOfa5vY1R8+tXCCbUIIqW26du2KzZs3V6uvRqNBt27djLZta2trNG7cWKfN0tISdnZ2XHtERAQ++eQT2NraQiqVYvLkyQgJCUH79u0BAL169UJwcDBGjBiBRYsWQaFQYObMmZg4cSLE4vLvsQkTJmDlypX4/PPPMWbMGBw9ehTbtm3D3r17jbYvxkSJVj0ilZRfmlNpHp0OEgn4sJbUzMvsbWcJbzvDEiSJ0AyTu/mjS4ADknOK4WFrgabuMpq0mhBCqqFZs2bw9fXF/fv3n3jXIVBe4sHb21uvzpWpLVmyBHw+HwMHDkRpaSnCwsKwevVqbrlAIMCePXvwwQcfICQkBJaWlhg1ahS++uorro+Pjw/27t2LqVOnYtmyZXB3d8f69etrZQ0tgOpoGY2p63BUh1qjxcbIB/h6zw2ube4bjTCivRcEfCp0SgghdUFdr6NVG9VkHS06o1WPmAn4GNrWAy085EjJK4ar3BxBztaUZBFCyCskICAAP//8c5WV4TUaDby9vU1eGZ48QolWPWMhMkNLLxu0hE1Nh0IIIaSGBAQE4I8//kBMTAyOHj2K/Px8WFtbo1u3bmjatClN5/YSUaJFCCGE1EM8Hg/NmjUzakFSYjgaYUwIIYQQYiKUaBFCCCGEmAglWi+BRsv+nbtQ8+zOhBBCCKk3aIyWicVnFGDTuUTsv56Klp42+LCrHxq5PrtwJyGEEELqPkq0TKiwTI35e27g6O0MAMDea6m49CAbuz7sCFd57ZuPiRBCCCHGRZcOTSg5p5hLsiqkKUsR/+/8f4QQQgip3yjRMiGxGR8WIoFeu1UVbYQQQogplJWVITc3F2VlZTUdyiuJEi0T8rS1wIw+gQCAitpwQ9t6wN/ReLOlE0IIIY/TaDQ4fvw4PvzwQ3Ts2BE9evRAx44d8eGHH+L48ePQaExzc9bcuXPB4/F0fgIDA7nlJSUlmDhxIuzs7GBlZYWBAwciLS1NZx2JiYkIDw+HhYUFHB0dMW3aNKjVap0+x48fR8uWLSEWi+Hv749ff/3VJPtjDDRGy4R4PB76NHaBk1SCxOwi2FmK0NhVCqsqJnnOK1bhQWYhhAI+fBwsIBHSS0MIIcRwhYWFmDZtGi5cuACBQICKKY0ZY4iKisKFCxfQtm1bLF68GJaWlkbffqNGjfDPP/9wj83MHn2fTZ06FXv37sX27dshk8kwadIkDBgwAGfOnAFQniCGh4fD2dkZZ8+eRWpqKkaOHAmhUIgFCxYAABISEhAeHo4JEyZg8+bNOHLkCMaOHQsXF5daObE0TSptJFVNSskYw8+nEzB/702uX1gjJ3zasyECnB+d1UrILMAXO67hfEI2eDxgZHsvTO7WAPbW4pe+H+QRZbEKCZmF4PMBH3srWIkp+SWEmN6LTCqt0WgwefJkXLp0qcoJpSvw+Xy0adMGy5cv15kL8UXNnTsXu3fvRnR0tN6yvLw8ODg4YMuWLXj77bcBALdu3UJQUBAiIyPRvn177N+/H3379kVKSgqcnJwAAGvXrsX06dORkZEBkUiE6dOnY+/evbh+/Tq37iFDhiA3NxcHDhyoMq6anFSaLh2aUGJ2Ef576LZO28HYNFx6kI2ySjW1dl9JxvmEbAAAY8DGyAeITclDZHwmFuy7gbXH7+FmqvKlxv6qS8wuxKQtl/HmqjPot+IMZu66htS84poOixBCnurUqVO4cOHCU5MsANBqtTh//jxOnz5t9Bji4uLg6uoKX19fDB8+HImJiQCAqKgoqFQq9OjRg+sbGBgIT09PREZGAgAiIyPRpEkTLskCgLCwMCiVSsTGxnJ9Kq+jok/FOmqb5/4TvaysDOnp6Xovpqen5wsHVV+UqrUoUem/2TPyS6EsVsPeWoBSlQZHbqXrLDfj85BZUIZPt1/l2tacuIftE0IQ4ETju16GQ7FpOBmXyT3eHZ2C1xo6on8LtxqMihBCnm7btm0QCATVGoPF5/Pxxx9/oEuXLkbbfrt27fDrr7+iYcOGSE1Nxbx58xAaGorr169DoVBAJBJBLpfrPMfJyQkKhQIAoFAodJKsiuUVy57WR6lUori4GObmtat8ksGJVlxcHMaMGYOzZ8/qtDPGwOPxTDbAri7ysLFAjyAn/HPz0UA/V5kEcgshrCTlp2rFQgG6BzrhevKjM1btfG2x9WKizrryilWIeZhLidZLcuJOhl7b1aRcSrQIIbVWWVkZLl68iOqOCNJqtbh48SJUKhWEQqFRYujTpw/3/6ZNm6Jdu3bw8vLCtm3bal0C9LIYnGiNHj0aZmZm2LNnD1xcXMCruJ2O6DEXCTCqgxfcbcxx4k4GAp2t0c7HFhotQ0GJhhvw3r+FK87FZ3FjtHoEOuL/rqbqrU+toeF0L0vXho44VemMFgA095TXTDCEEFINRUVF1U6yKjDGUFhYqHeWyVjkcjkCAgJw9+5d9OzZkys1UXl7aWlpcHZ2BgA4OzvjwoULOuuouCuxcp/H71RMS0uDVCqtlcmcwYlWdHQ0oqKidG7XJE+m0TDEZ+Tjw65+KChRIyY5D3lFZRja1ovr42NvhXUjW+N+ZiGEAh58HSzhIjfHhE2XuT7mQgGautPUPS9Lz2AnnIvPwqEb5R/mwa090N7XroajIoSQJ7OwsACPxzMo2eLxeCa587BCQUEB7t27hxEjRqBVq1YQCoU4cuQIBg4cCAC4ffs2EhMTERISAgAICQnBN998g/T0dDg6OgIADh8+DKlUiuDgYK7Pvn37dLZz+PBhbh21jcGJVnBwMDIzM5/dkQAAGrvLIDUXYdr2GACAVGKG/0W0g/ljRUtl5kI085Bzj0MbOGDDqNb4M+ohnGQS9G/uhmCaI/Gl8bC1wJJBzZGQVQgBjwdvewuYi+iuQ0JI7SUSidCmTRtERUVVaxiPQCDgkh9j+eyzz9CvXz94eXkhJSUFc+bMgUAgwNChQyGTyRAREYFPPvkEtra2kEqlmDx5MkJCQtC+fXsAQK9evRAcHIwRI0Zg0aJFUCgUmDlzJiZOnAixuPxO/AkTJmDlypX4/PPPMWbMGBw9ehTbtm3D3r17jbYfxlStbw6l8tH4oe+++w6ff/45FixYgCZNmui9QKa4NbIus7cSY37/xhjR3gsFpWr4OVjB2/7Zfz1Yis3QLcgJ3YKcntmXmIalxAyN3Si5JYTUHYMGDdK79PYkGo0GgwcPNur2Hz58iKFDhyIrKwsODg7o1KkTzp07BwcHBwDAkiVLwOfzMXDgQJSWliIsLAyrV6/mni8QCLBnzx588MEHCAkJgaWlJUaNGoWvvvqK6+Pj44O9e/di6tSpWLZsGdzd3bF+/fpaWUMLqGYdLT6frzMWq2Lge2Wv+mB4U9fhIIQQ8mqoy3W0aquarKNVrTNax44dM/qGCSGEEGJcAoEAixcv5irD8/l8nYSr4nGbNm2wePHiVyLJqmnVSrQq19hITEyEh4dHlWe0kpKSjBsdIYQQQgxiaWmJFStW4PTp0/jjjz+4kg88Hg+tW7fG4MGD0alTJ0qyXhKDR/f6+PggNTWVuxugQnZ2Nnx8fF7ZS4eEEEJIbSEQCNClSxd06dIFKpUKhYWFsLS0NOrAd1I9BidaVY3PAspv4TT0WjIxjbyiMmQVlsHOSgSZuaimwyGEEFKDhEKhyepkkWerdqL1ySefACivuTFr1ixYWFhwyzQaDc6fP4/mzZsbPUBimOjEHMzYdQ03U/PRyFWKBW810SkbQQghpG4wtPgoebKaPJbVTrSuXLkCoDzYa9euQSR6dKZEJBKhWbNm+Oyzz4wfIak2RV4xxv8WhfT8UgBAbIoSEzZF4f8mdoSjlM42EkJIXVBxea+oqKhWVjqvi4qKigCgRi6dVjvRqrjz8L333sOyZcuohEEt9DCnmEuyKqTmleBhbjElWoQQUkcIBALI5XKkp6cDeFTxnRiOMYaioiKkp6dDLpfXyA0ABo/R+uWXX0wRB6lCurIEZRotHKzFEJs9+81hYyGE2IyPUvWjW3klQj7k5jT4kRBC6pKKef0qki3yYuRyOXdMXzaDE60BAwZU2c7j8SCRSODv749hw4ahYcOGLxzcq6pMrcHpu5m4l1GI2GQl7K1F6NPYGa28bJ/6PG97K8x7oxFm7LoGxgAeD/j6zcbwtqv+PFZJ2UWIeZiLMrUWDZysEewiBZ9Pf0kRQsjLxOPx4OLiAkdHR6hUqpoOp04TCoU1WsqiWpXhKxs9ejR2794NuVyOVq1aAQAuX76M3Nxc9OrVC1evXsX9+/dx5MgRdOzY0SRB10bGrCwbnZiDcwnZWLj/FtcmlZhh24QQBDo/fd2lKg3i0gugyCuBi1yCBo5WEFXjbBgA3FHkY+SG81Aoyy8/Oksl+HZAE3RqYA+hgG/QPsRnFOBGqhJ88BDsKq3WtEOEEELIy2bqyvCGfXui/HTmsGHDEB8fjx07dmDHjh24d+8e3n33Xfj5+eHmzZsYNWoUpk+f/sLBaTQazJo1Cz4+PjA3N4efnx++/vprnbsHGGOYPXs2XFxcYG5ujh49eiAuLk5nPdnZ2Rg+fDikUinkcjkiIiJQUFCg0ycmJgahoaGQSCTw8PDAokWLXjj+55VTVIZDsQqdNmWJGlcTc5/5XLFQgMZuMvQIdkIjV1m1kywAOBCr4JIsAFAoS3D8TgYSMgqrvQ4AuJGqxMA1ZzFpyxV8uOUyBq2LxJ20fIPWQQghhNQHBidaP//8M6ZMmQI+/9FT+Xw+Jk+ejHXr1oHH42HSpEm4fv36Cwf33XffYc2aNVi5ciVu3ryJ7777DosWLcKKFSu4PosWLcLy5cuxdu1anD9/HpaWlggLC0NJSQnXZ/jw4YiNjcXhw4exZ88enDx5EuPHj+eWK5VK9OrVC15eXoiKisLixYsxd+5crFu37oX34XlIzYXQaPVPNJr65tS7VSRD6coS5BaXGbSevTGpyCl6dKo7XVmK47czXjg+QgghpK4xONFSq9W4deuWXvutW7e4qvASicQod0icPXsWb775JsLDw+Ht7Y23334bvXr14mYmZ4xh6dKlmDlzJt588000bdoU//vf/5CSkoLdu3cDAG7evIkDBw5g/fr1aNeuHTp16oQVK1Zg69atSElJAQBs3rwZZWVl2LBhAxo1aoQhQ4bgo48+wg8//PDC+/A8pBIhBrR002mzEAlMXg8rrLH+QMFgFymkBg6mv5+pfwYsOafoueMihBBC6iqDE60RI0YgIiICS5YswenTp3H69GksWbIEERERGDlyJADgxIkTaNSo0QsH16FDBxw5cgR37twBAFy9ehWnT59Gnz59AAAJCQlQKBTo0aMH9xyZTIZ27dohMjISABAZGQm5XI7WrVtzfXr06AE+n4/z589zfTp37qxTGywsLAy3b99GTk5OlbGVlpZCqVTq/BhDcZkGiw7cRkJmIRa/3RSvN3bGu+08sfG9tghyMW1JjY7+9pjVNxj2ViI4WIkx8TU/BLtK4e9gZdB63mjuqtfWNdCxip6EEEJI/WbwXYdLliyBk5MTFi1ahLS0NACAk5MTpk6dyo3L6tWrF3r37v3CwX3xxRdQKpUIDAyEQCCARqPBN998g+HDhwMAFAoFt/3KnJycuGUKhUJvXkYzMzPY2trq9PHx8dFbR8UyGxsbvdi+/fZbzJs374X38XHJucU4fLP8uPJ4QICjNWKS89CrkelvS5VbiBDRyQfdGjogv1QNubkQHraG128J8bXF4rebYvnROAh4PEztGYA23k+/Y5IQQgipjwxOtAQCAb788kt8+eWX3Fmcx0fpe3p6GiW4bdu2YfPmzdiyZQsaNWqE6OhoTJkyBa6urhg1apRRtvG8ZsyYwU1LBJSP8/Lw8Hjh9UqEfEglZlCWqMEYcPvfcVNWYjNotQw3UpW4rVDCUmyGJm4yuNlYPGONhvMx8AzW46TmIrzT2gPdg5zA55UncIQQQsiryOBEqzJTV4efNm0avvjiCwwZMgQA0KRJEzx48ADffvstRo0axRUfS0tLg4uLC/e8tLQ0bt5FZ2dnvYJvarUa2dnZ3POdnZ25s3OV11GxrCpisRhisfjFd/Ix7jYWmNk3GJ//GcO1DWnjgQaOVrhwPxsjfj4PlaZ8WHywqxTrRrSCuwmSLWOwtaQEixBCyKvN4DFaaWlpGDFiBFxdXWFmZgaBQKDzY0xFRUU6dzcC5WfUtNryyuc+Pj5wdnbGkSNHuOVKpRLnz59HSEgIACAkJAS5ubmIiori+hw9ehRarRbt2rXj+pw8eVKnKNzhw4fRsGHDKi8bmlq/Zi74c0IIFr/dFP8b0xaf924IMwEfy/65wyVZAHAjRYlrD/NeenyEEEIIqR6Dz2iNHj0aiYmJmDVrFlxcXEw6/1K/fv3wzTffwNPTE40aNcKVK1fwww8/YMyYMQDKK+dOmTIF8+fPR4MGDeDj44NZs2bB1dUV/fv3BwAEBQWhd+/eGDduHNauXQuVSoVJkyZhyJAhcHUtH7Q9bNgwzJs3DxEREZg+fTquX7+OZcuWYcmSJSbbt6cxF5qhtbctWlca15RbVIbk3BK9voVl6pcZGiGEEEIMYHBleGtra5w6dYq7NGdK+fn5mDVrFnbt2oX09HS4urpi6NChmD17NneHIGMMc+bMwbp165Cbm4tOnTph9erVCAgI4NaTnZ2NSZMm4e+//wafz8fAgQOxfPlyWFk9GosUExODiRMn4uLFi7C3t8fkyZMNKrpq6sqyAPDz6Xh8vecm99iMz8PODzugqbvcJNsjhBBC6jtTf38bnGgFBwdj8+bNaNGihdGDqcteRqKVnl+C/4tOxsazD+AslWBqzwC097WDgOYiJIQQQp5LrUu0Dh06hO+//x4//vgjvL29jR5QXWXIC6UsVqGwVA17a7HBcwgCQE5hGcRCPixEL3QvAyGEEPLKM3WiZfA39eDBg1FUVAQ/Pz9YWFhAKNStGp6dnW204Oqjc/FZ+GbvDdzLKMSbzV0xobMfvAyccNmG7uYjhBBC6gSDE62lS5eaIIxXQ1xaPkZtuIBSdfldk79fSEKZWotvBzQxaPJnQgghhNQNBidaNV0otC67l1HAJVkVdkenYGrPgFpbC4sQQgghz8/wAUIA7t27h5kzZ2Lo0KFcMdD9+/cjNjbWqMHVN7IqJmd2kUlgLqSzWYQQQkh9ZHCideLECTRp0gTnz5/Hzp07UVBQAKB8wuc5c+YYPcC6SlmsQtFjNa6CXKR4q4Ub91jA5+HrNxvDzsr4FeYJIYQQUvMMvuswJCQE77zzDj755BNYW1vj6tWr8PX1xYULFzBgwAA8fPjQVLHWahV3LdxPycDZpCL8dDIeNpZCfNw9ACF+dtzdhdmFpbiRko+cojL42FsiyEX6xPIM9zMLsf96Kk7cyUCPICeENXKGhy1dYiRPlqYsRmyyEgWlajRwskags7VJiwoTQkhdV+vuOrx27Rq2bNmi1+7o6IjMzEyjBFWXnbiTjtn7E8ofZAKjf7mA7RNC0MqrvMq7raUYnRo8+wxWXlEZpu+IwfmE8rs4z8Vn40JCNpYMbg5LMZV1IPoUeSX4eGs0954RCfj4LaIt2vna1XBkhBDy6jL40qFcLkdqaqpe+5UrV+Dm5lbFM14tv19I0nmsZUDMc8xHGJ9ZyH1hVjh0Iw33swpfKD5Sf11PztN5z5RptPj+8B2apokQQmqQwYnWkCFDMH36dCgUCvB4PGi1Wpw5cwafffYZRo4caYoY6xRXmUSvrapB8M9S1eVEHq/qdkIAIK+4TK8tMasIJWWaGoiGEEII8ByJ1oIFCxAYGAgPDw8UFBQgODgYnTt3RocOHfDll1+aIsY6ZWSIF8Rmjw6rh405WnraGLweP3srvNHMVadteDsveNsZVtyUvDoaOFnrJeLD2nnSzRaEEFKDDB4MXyEpKQnXrl1DQUEBWrRogQYNGhg7tjqlYjBdbm4uHhYCt1LzIRHy0dhNBq/nTI4UecU4n5CN2GQlmnrI0M7bFg5S/TNmhACARstw9m4mFuy/BUVeMUa098LQtp5wkZvXdGiEEFJr1bq5Dp8kJiYGrVu3RlmZ/uWLV8HLmFSakOpQFqtQotLAwVpMdxwSQsgz1Lq7Dp+EMQaNhsaCEFLTpOZCSJ9jXCAhhBDje67K8IQQQggh5NmoIFMtlZxTjJjkXCiLVWjoZI3GbjKYCSgvJoQQQuqSaidaSqXyqcvz8/NfOBhSLiW3GB9sikJMcnn9LT4P+GV0G3Rp6FjDkRFCCCHEENVOtORy+VMH1jLGaOCtkcSm5HFJFlBe9PS7g7fR0tMG1jT2hhBSg0pUGkiEgpoOg5A6o9qJ1rFjx0wZB6mkqIoCk5n5pShRa2FdA/HUBMYYHuYUQ63Rwt3GAkIzumxKSE1KyCzEzssPcfRWOroHOmJAS3d421NdP0KepdqJVpcuXUwZR72SXViG4jI1HKUSbjJpQwQ4WUNsxkepWsu1vdfRGw7Wr0bhybziMvxxMQlLDsehTKPFsLYe+OA1f7hSPShCakRuURmmbb+KSw9yAACxKUpcuJ+NdSNa0x2uhDwDDYY3spN3MrD4WCJSc0vwdmt3TOjsB087C71+Wi3D9ZQ83EkrgJVYgKbuci6RCHKRYtPYdlhx5C6ScoowvJ0n+j1WJd5UCkvVyC9Rwc5K/FxJojFcfpCLBftucY9/O5cIP0drjO7gXSPxEPKqu59VxCVZFc7FZ+NBViGauMtrJihC6ghKtIxs8u9XwITlCdOW84mQmPHxZXiw3tQokfFZGLXhAtRaBgGfh8ZuUqwZ3opLttp42+Knka1QotZAZi56KbFfSczBd/tv4UaqEn0au+D9Lr7wdbB6KduuLDopV6/t/64k4912nnTnJSE1QCTggccDKpe35vFAn0dCqoE+JUam0eoW2v/z8kNk5JfotBWWqvHDoTuQCAWY0qMBJnTxQ0c/e8Sl6d65KRYKXlqS9SCrEKN+uYBzCdlQlqjxx6UkfLvvFoprYEJinyrGfbTxsaFf6oTUEF8HS7zbzkunbXSIN3wdaIwWIc9CZ7RMzMfeEpZi3cNcqtZAoSzB+1188dPJeChL1ACAX87cx9bx7dHMQ/7S40zILISyWK3TdvhmGlLyiuH3ks9qtfG2RUc/O5y5lwWgfGLut1t6vNQYCCGPSIRm+Lh7A4Q2sEdcegECHK3Q0ssGYjO6+5CQZzH4FMGYMWOqrJlVWFiIMWPGGCWouqxX8KNaV2IzPv7TJwjWEt3BoraWYowP9UFGfimXZAFAsUqDv66mvLRYK5NK9Ae02lgIYV4Dt3G72ZhjxbCW+GN8e/wW0Rbb3g9BgPOrcr8lIbWTvbUYvRo5Y2JXf/Rs5Aw7q1fj5hxCXpTBk0oLBAKkpqbC0VG3eGZmZiacnZ2hVquf8Mz6rWJSyoSUdCQX8pBXrIK/g9UTE4SM/BIsOxKHTecSddr7NXPBiqEtX0bIOvKLVfjuwC1sOv8onhVDm6NfM7eXHgshhBDystSaSaWVSiUYY2CMIT8/HxKJhFum0Wiwb98+veTrVWRrKYa3y7NfKAdrCcKbuOglWgNbupsqtKeyNhfi07CG6N3YBZkFJfC2t0RwNfaDEEIIIU9mcGV4Ho+HgIAAveU8Hg/z5s0zanD1XUtPG/z6Xhv8eCIeKo0W47v4oq2P7UuNITm3CA9zimFjIYKvvSU6NbB/qdsnhBBC6jODKsMzxtCtWzfs2LEDtraPEgKRSAQvLy+4ur6cWk/1hVgowGsNHdHBzw5ahpc+rUXUgxyM/98lZBWWQSjgYXbfYAxq7QExTa9BCCGEGIXBleETEhLg4eEBPp9utTcWUQ3cuZNbVIYZO2OQVVgGAFBpGGb/FYvmnjZo4iZ76fEQQggh9ZHB5R28vLyQm5uLCxcuID09HVqtVmf5yJEjjRYcMZ2cwjLcSSvQaWMMSMsroUSLEEIIMRKDE62///4bw4cPR0FBAaRSKXi8RxXPeTweJVq1RJlai3sZBcgpLIOHrQU8bHWnAbK1EqOpuxQxD5VcG58Hmk+QEEIIMSKDr/99+umnGDNmDAoKCpCbm4ucnBzuJzs72xQxEgOVqDTYcv4B+q44jWHrz6PvitO4kJCl00dmLsQ3/ZvA07Y8sbIUCfDDoObwd3z5U+4QQggh9ZXBdbQsLS1x7do1+Pr6miqmOsnUdTgMEfMwF2+sPKPT5udgie0TOsDWUndKn8z8UiTnFkNmIYS3HU2nQQgh5NVi6u9vg89ohYWF4dKlS0YP5FWXV6xCal6x3lyJzyNdWarXdi+jELlFZXrt9tZiNPOQU5JFCCGEmIDBY7TCw8Mxbdo03LhxA02aNIFQqDt1yxtvvGG04F4FarUWJ+9mYPGB20jKKcbAlm4YG+oDD9vnT3zcbcwh4PN0krbmHnLY05QZhBBCyEtl8KXDp5V14PF40Gg0LxxUXfS8px5PxmUg4teLUGkevQwj23thdr9gmAmer4SGWqPFwdg0zNgVA2WxGn4Ollg2pAUa092EhBBCiI5aMwVPhcfLOZDnl5FfiqgHOTpJFgD8efkhPnjNDy7PeQegmYCP8KYuaOoug7JYBRe5BLaWdDaLEEIIedkMTrQqKykp0ZnzkBimoFQFXhXt7jbmsBC9eBHTx0s6VEepWoOCEjVsLETg86uKjhBCCCHVZXCipdFosGDBAqxduxZpaWm4c+cOfH19MWvWLHh7eyMiIsIUcdZLTtLyJDWikzesxEKoNFrwALT1tYXMQvT0J5vAteQ8rDgSh5iHeejbzAXvtveiQfKEEELICzB4ENA333yDX3/9FYsWLYJI9CgZaNy4MdavX2/U4Oo7C5EZ+jR2Rm6RCsuOxGH18Xv49ex9WIpe6ETjc0nKLsKoDRdw6EYaFMoSrD+VgP8evI1S1as55s5YDBwCSQghpJ4xONH63//+h3Xr1mH48OEQCB5d3mrWrBlu3bpl1OBeBdmFZdhxOZl7XFimwfy9N5FfonqpccRnFCC7ULf8w95rqUjOLX6pcdQXCRkFWHEkDu+sjcRPp+KRlF1U0yERQgipAQafOklOToa/v79eu1arhUr1cpOD+iCzQL+21S2FEvklalhLhFU8wzQsxfpvBWuJGcRCmjzcUNmFZZi67Sqik3IBAJce5ODKgxz8d1AzWNTA2UpCCCE1x+Bv0eDgYJw6dUqv/c8//0SLFi2MEtSrxNvOArzHxpy/3sQF9lbGHaOVlF2IA9dT8XdMCu6lF+gtb+BkjbdauOq0zQoPhpvc8AH1r7r4jAIuyaqw77oCD7LorBYhhLxqDP7zevbs2Rg1ahSSk5Oh1Wqxc+dO3L59G//73/+wZ88eU8RYrwW6SLFmeEvM2h2LjIJS9ApywqSu/hCZvfhdhxXiMwowasMFJOWUXwaUmpthy9j2cJWbIy49H4wxNHC0xpevB+ONZm7IKCiFj70lGrvV7FRCdVVV9c/4PEBAd3ESQsgrx+BE680338Tff/+Nr776CpaWlpg9ezZatmyJv//+Gz179jRFjPWaUMBH78YuaOlpg8IyDZylEpgbobRDZZH3srgkCwCUxWr8cTEJBaUq7LqSAgBo4ibD8qHN0TXQ0ajbfhX5OViib1MX7IlJ5drGdPSBtx2dHSSEkFfNcw0YCQ0NxeHDh40dyyvNUWq6emSKvBK9tnsZBShTPyo+ey05D4dj0zC+i5XJ4nhVWEuE+DI8CL2CnXBLkY+m7jK09rI16llKQgghdcMLjXQuKCiAUqnU+SG1T3s/O7227kGOuJacp9N24X72ywqp3nORmeON5m74vHcgejd2gb01VeYnhJBXkcGJVkJCAsLDw2FpaQmZTAYbGxvY2NhALpfDxsbGFDGSF9TSU45Vw1rC18ESLjIJvn6zEfzsrVCq1p1OqWewUw1FSAghhNRPBl86fPfdd8EYw4YNG+Dk5ATe47fMkVrHXGSG8KYu6OhvB42Wwc5KjMz8UnzQxQ/rT8dDy4BhbT3QJcChpkMlhBBC6hUeM7B0tZWVFaKiotCwYUNTxVQnmXr2b1NQabRIyi4CA4OHjQWNISKEEPLKMfX3t8GXDtu0aYOkpCSjB/IkycnJePfdd2FnZwdzc3M0adIEly5d4pYzxjB79my4uLjA3NwcPXr0QFxcnM46srOzMXz4cEilUsjlckRERKCgQLeWVExMDEJDQyGRSODh4YFFixa9lP2rSUIBH74OVvBzsKYkixBCCDEBgy8drl+/HhMmTEBycjIaN24MoVC3ennTpk2NFlxOTg46duyIrl27Yv/+/XBwcEBcXJzOWLBFixZh+fLl2LhxI3x8fDBr1iyEhYXhxo0bkEjK7+QbPnw4UlNTcfjwYahUKrz33nsYP348tmzZAqA8m+3Vqxd69OiBtWvX4tq1axgzZgzkcjnGjx//3PFnFZRCpdHCSSqhS6yEEELIq4gZKDIykvn4+DAej8f98Pl87l9jmj59OuvUqdMTl2u1Wubs7MwWL17MteXm5jKxWMx+//13xhhjN27cYADYxYsXuT779+9nPB6PJScnM8YYW716NbOxsWGlpaU6227YsGG1Y83Ly2MAWF5eHisqVbH/u/KQtV/wD2sy5wBbceQOS1cWV3tdNS0ho4CdjstgN1PzWKlKU9PhEEIIISZT+fvbFAy+dDhmzBi0aNECkZGRiI+PR0JCgs6/xvTXX3+hdevWeOedd+Do6IgWLVrgp59+4pYnJCRAoVCgR48eXJtMJkO7du0QGRkJAIiMjIRcLkfr1q25Pj169ACfz8f58+e5Pp07d4ZI9Gjam7CwMNy+fRs5OTlVxlZaWvrE0hbRSbn4aGs0UvNKoCxR47+H7uBQbNoT91Ol1qJMozHw6BimTK2BWqN9Zr+zdzPRd8VpDF9/Hn2Xn8a2S0koU5s2NkIIIaS+MvjS4YMHD/DXX39VObG0scXHx2PNmjX45JNP8J///AcXL17ERx99BJFIhFGjRkGhUAAAnJx0yxI4OTlxyxQKBRwddaudm5mZwdbWVqePj4+P3joqllVVtuLbb7/FvHnzqoz7alKeXtvWi0l4p7W7zlioMrUG5+Kzse5UPNQaLcZ28kVHfzuYG3Hi4dyiMhy9lY7/Rd6Hi9QcEaE+aOVlU+WlzIz8Eny2/SoKStUAALWWYfb/XUcLTzkaucqMFhMhhBDyqjD4G71bt264evXqS0m0tFotWrdujQULFgAAWrRogevXr2Pt2rUYNWqUybf/NDNmzMAnn3zCPVYqlfDw8AAAOMn0i1MGu1jDjK97AvFyYi5GbrjAPT4Xn41Vw1rAjM9HgJMVfBxevEr74RtpmPZnDAAgGnk4cisdOz/sgMZu+olTTpEKKY9Vkdcy4H5mIWIe5kHA56GFhxwNnKxfOC5CCCHkVWBwotWvXz9MnToV165dQ5MmTfQGw7/xxhtGC87FxQXBwcE6bUFBQdixYwcAwNnZGQCQlpYGFxcXrk9aWhqaN2/O9UlPT9dZh1qtRnZ2Nvd8Z2dnpKXpXtqreFzR53FisRhicdXVvlt72SCikzcsxWZgDChRa/BmU1fwH5tU+MhN/cuJu6NTkJRdhJS8YmyKaIem7vIqt1EdBSUq/HRK93JumUaLm6lKLtEqVWkQ9SAH+66nopm7HIHO1rilyOf6iwR83EnLx7IjdwEAMnMhto5vjyCXulHCghBCCKlJBidaEyZMAAB89dVXest4PB40Rhxr1LFjR9y+fVun7c6dO/Dy8gIA+Pj4wNnZGUeOHOESK6VSifPnz+ODDz4AAISEhCA3NxdRUVFo1aoVAODo0aPQarVo164d1+fLL7+ESqXiEsfDhw+jYcOGz1Xt3ozPx520ApyKywQAeMgleLulO87czUBhqQb5JSo0dJZCZi7Ue66V2AyFZWooi9XYePY+Fr3dDAL+892xKODzITcX6bWLzR6dWTufkM2dVftDkIQZfYKw6dx9xGcWwcZCiGlhDbHi6F2uf16xCifvZFCiRQghhFSDwYmWVvvsAdXGMnXqVHTo0AELFizAoEGDcOHCBaxbtw7r1q0DUJ7YTZkyBfPnz0eDBg248g6urq7o378/gPIzYL1798a4ceOwdu1aqFQqTJo0CUOGDIGrqysAYNiwYZg3bx4iIiIwffp0XL9+HcuWLcOSJUueK+6oBzlckgUAA1p5YNr2q4hJVkLA52FQa3fsjUnF2FBfWIvNkP/vmCiJkI+GTtbYdSUZAHAjVYlStQYWzzlmy1wkwOTu/vjpZDzkFiKcvZcJsRkf9lZixGcUwNPWAutPPzrjpdIwLNx/CyuGNYe7jQXkFkL8cOgOUh+7nJhbVPZc8RBCCCGvGuONujaBNm3aYNeuXZgxYwa++uor+Pj4YOnSpRg+fDjX5/PPP0dhYSHGjx+P3NxcdOrUCQcOHOBqaAHA5s2bMWnSJHTv3h18Ph8DBw7E8uXLueUymQyHDh3CxIkT0apVK9jb22P27NnPXUMrMbuI+7+fgyXuZxUiJrn8rkSNluH3C0mY2jMAe6+lYPuEEFxOzEFRmQZFZRqsq3Sp751WHs+dZAHlxVyFAj5K1BpcScrBu+284CyTYNQvFyAU8PHH+PZ6zynTaKHIK0VYo/JLsa83ccGOy8k6fbo0dNR7HiGEEEL0GTwFDwBcvHgRx44dQ3p6ut4Zrh9++MFowdUllUv4RytKuctx4U1ccC05Tyf5AoAPX/PDjRQlVg9rCQuJGYpVahyOTcM3+25CWaxGRCdvvNveC84y8+eOKTY5D/1Xn4FK8+glHtPRG3/HpCIjvxRBLtaY1qshxmx8VGnfXCjAnxNC0OjfMVyFpWqcisvEupP3IDYTYEIXP4T42VIleUIIIfWCqafgMTjRWrBgAWbOnImGDRvqTSrN4/Fw9OhRowdZF1R+oXhCc2yPeoj/HroNdxtzNHGT6Z0VmtozAEI+D3fT8/F570AuocrMf1RN/vHB84badfkhpm67qtPmKpMgopMPvt57EzwecOKz15CUU4w9MSmQmwvRu7ELmnnI9dZVUqYBjweIhZRgEUIIqT9MnWgZfF1q2bJl2LBhA0aPHm30YOoLa3Mh3uvojZ7BTlBrtP/e6ZePG6lK8HjAoNYecJNJsOVCIi4n5uK1QEe80cwNAGBvLYYirxh/XErCvmupaOtti9ebuMDP0fBSD5Zi/ZfXzkoMBobv32mKnCIVAB46+tujo7/9U9clEVGC9SrQahkSMguRV6yCm405nKSSZz+JEELIExmcaPH5fHTs2NEUsdQrPB4PHrYW3ONNY9viQVYR7qbn4/KDXMzYdY27pBebrOQSLZVaizUn7mHj2QcAgFNxmfg7JgWbItrB8bEvvbvpBbilUELI5yPYTQoPGwud5Y3dZGjiJsO15PICqmZ8HsaG+mDftVQc/LdS/YYzCfh5VGsEuVBB0lddqUqDXVeSMeevWJSqtXCVSbBmRCs0e4ESI4QQ8qozONGaOnUqVq1ahaVLl5ognPrL1lIMW0sxoh7k4PeLSTrLKtfKSsopwqZziTrL76QVIC69QCfRupyYg9EbLkBZUn7Hoo+9JTaMbgMfe0uuj6vcHD+OaIUjN9OQll8KsRkfyTnFXJIFACm5JVh/KgELBzaFUGDwjEykHrmTXoAZu66hYjBBSl4JZu+OxW8RbSGtohQJIYSQZzM40frss88QHh4OPz8/BAcH6xUs3blzp9GCq496NXLGhYRsHLqRBj4PGNHeC219HtXqEvB4MOPzoNHqDp2rXEvrXkYBfj1zn0uyACAhsxDXHubC1kIIC5EZhP/WynKVm8PeWoxZ/xcLoHwQ/uMu3s9BUakaMgv9mlvk1ZGcU4zHR2xefZiLnKIySrQIIeQ5GZxoffTRRzh27Bi6du0KOzu7KufMI0/maWuBJYOb40FWIfh8HnzsLSGudAefu60FPnjND0v/iePa2vnYosG/Y7QKSlTYFHkfKbnFOusd09EbVx/m4ofDd9DUQ473Q325OwfbeNkiopMPfjmTAEkVg9l7BjvSFymBm1z/Dtdm7nLIKQEnhJDnZvBdh9bW1ti6dSvCw8NNFVOdZMy7FrILS3ExIQfnErIQ6GyNDn723HivB1mFCFt6EuNCfbmK7S095bC3EuPQjUeXBO2tRNj1YUfueWVqDW4rygfkK5SlWHv8HopVGrwW4IDPwgLQ2E3+QjGTuq9UpcHOKw8x968bKFVr4SyV4McRraq8C5UQQuqLWnfXoa2tLfz89C8/EeOxtRQjrLEzwhrrz7MoMxfCx84StxX5GN/ZF7uvJKNHkBMWH9KdqiizoAz3Mgq4REtkJkATdzk0WoYLCdkYEeIFoYCPexn54EH/rORtRT5uKZQwFwrQ2E0G1yrOdpD6RSwUYHBrT7T1tkVukQoethZ6N2AQQggxjMGJ1ty5czFnzhz88ssvsLCwePYTiFHJLUSY/1ZjRGy8hKgHOege5Igm7jJYi810xmwBgEUVJRkyC8r0anqJzAT4/u1m3Liuyw9yMGz9OZSoyovRBjlLsW5kS3jYWuqtr75TFqvA4wHWklfj0iqfz4Ofo3VNh0EIIfWGwYnW8uXLce/ePTg5OcHb21tvMPzly5eNFhypWisvW/w9qROScoogtxDCz94KM14Pwoyd17g+fRo7I8BJ/wszPb9Er+1qUi6KytSQmYlQptbgx5PxXJIFADcVSkQn5b1SiZayWIV/bqZh1bG7EAn4mNKzAToHOMBcWKtnrSKEEFLLGPytUTFZM6maWqOFWqOF2XOUSkjKLkKasgQO1mJ42T09qfGwtdCp0/Vmc1f42FsiIaMQDtZiNPWQVTmI2ddBv/DpG01ducHwKg3D/cxCvT65RSpDd6dOi7yXhU8qVdV//7fL2Dy23TMLuxJCCCGVGZxozZkzxxRx1BuTfr8MM4klIjr6oL2vXZVT1mi0TKdcAwCcuJ2Oyb9fgbJEDWuxGZYOaY7uQU64marEufgsFJVpEOJrh2Yecp3nFpdpkFNUBpmFEO197dDe1+6p8TV1l2HhgCZYsO8mCkrVeLO5K95p487dPWopNsO77T25chAAwOMBwa6v1uWk7VFJem0n7mRQokUIIcQgz30dJCoqCjdv3gQANGrUCC1atDBaUHXZ6bgs8MXFOHknU+8MSHp+CY7cTMefUQ/R1E2GQW08EOQixcOcIny0NZobY5VfqsaUrdHYNLYtRvz8qCipgM/DlrHt0O7fZOqWQon/HryN03cz0drLFl/0CYS/oxVuK/KRklsMNxtzNHSy1kn2LERmGNLWE6ENHFCq1sDNxlynvAQA9G7sjGKVBj+fToCNhRCfhwWiyTPuSixTawCg3kw27VnFZVIna3ENREIIIaQuMzjRSk9Px5AhQ3D8+HHI5XIAQG5uLrp27YqtW7fCwcHB2DHWWX9FJ3OJFmMMW84ncvWxoh7k4O+YFOz8oCMyC0qRV6x7aS6/VI2EzEKdAe4aLcPGs/fRxtsWucUqfLw1GrcV+QCA03czMe+v6whv6oq5f9/gnrPgrcYY0sZTb4JqN5sn30XoYC3B+M5+GNDCHUIzPmRPqbFVqtLg7L0s/HjyHrSM4f3Ofujgb1fnxzINaOmG7ZeSkF9afvwdrMUIDaD3NiGEEMMYPJBo8uTJyM/PR2xsLLKzs5GdnY3r169DqVTio48+MkWMdVblZCY1rwQ/nojXWZ5ZUIY7afmwtRRCblGezIjN+Bjf2Rcfd2+AMrUW40J9Iao03iu/RA0G4GF2EZdkVWjjY4cF+27ptM37+wYSqhhzVR321uKnJlkAEJWYg/d+vYhz8dm4kJCDiI2XcCkh57m2V5s0dpNh54cdsHRwc6wY2gLbxrev8uYCQggh5GkMPu1w4MAB/PPPPwgKCuLagoODsWrVKvTq1cuowdVVcgshPujih4z8UnyxIwb9mrnCx84CEiEfxSqNTl8zAQ8JmYX48DV/rDp2F2M6emPT+URk5JcCABytxfjgNT8sO1J+Jmx0B29ujJbYjI9S9aO7A3k8oEyj1Vl/qVoLZYnpBrIfuKbQa/u/qyn14uxPAydrNKDkihBCyAswONHSarV6JR0AQCgUQqvVVvGMV8t/Xg+Et4s9pv5xlUuqtl5MwuaxbfFFn0BM3/GoBEMjVykCnKzwybaruKXIx6gQLxSWabgkCwDS80tRrNIgvLELBrRyQ4hf+fgsAZ+HiE4+WH38HtfXy9YCLjIJUvMelXBwtzGH+1MuE74oG0v9OxvtrWjKFkIIIQR4jkSrW7du+Pjjj/H777/D1dUVAJCcnIypU6eie/fuRg+wrhnWzgu7Y7P1zlytORGPVUNbwEVmjqgHOfCwNUdbH1uYCwWwFJkht0iF/dcV8LHXH4SdV1SGlcNb6Mwr6SST4E56Pj7pGYASlQZioQBHbqZhxdAW+Hb/LUQ9yEFrLxvMeaMRHKxNV927Z7ATfj6dgIJ/xzJZiAR4vYmLybZHCCGE1CUGJ1orV67EG2+8AW9vb3h4eAAAkpKS0LhxY2zatMnoAdYXPJSXTugc4IDO/15WY4xhzfF7aO9nh+N3MhCfWYi+zVx15iwEgJ7BznqTd9tbiTGlewDm/BWLqAc5aOImxVdvNkYLTxv8+l4b5BaVwcZCBCsTVzRv7CbD9gkhiE7KgZYBLTxsEOxq/LmiaoJao8Xd9AI8zCmGg1SMACerOj/InxBCyMtl8KTSQHmC8M8//+DWrfKB10FBQejRo4fRg6tLKk9K+bCA4e21kSgqe3RWa+N7bdCloaPOc5Kyi9BryUnYWYkwrK0n0vJL4W1rAR4PWHsiHjweMLVHAPo0dob1Ewal55eokF1YBrmFEDJzumRnTPuupWLy71eg0ZZ/RGb1DcaI9p71poQFIYQQ008q/VyJFtH3+At17WEuDsWmIbe4DH2auKCVp41e8dKk7CL0+OEEN6Bdam4GlZrh51GtEeBsDR4AOyvj1m7KKypDfGYhzPg8+DhYwUpsvDM0+cUqFKk0cLAS65WTqGse5hQhfPlpnbIbfB6w96NQBLnUjzN2hBBCTJ9oVftb9ujRo5g0aRLOnTunF0heXh46dOiAtWvXIjQ01OhB1kVN3OVo4i5/ah83uTkmdHl0R6GyWA0/e0v4OljC/jkSrOzCUtxS5ENZrIKfg5XeHXP3MwsxfUcMzidkAwD6t3DDjD4N4SR9scHyWi3DufgsLNh3Ew9zizG4jQdGtPeCu03dnXRcWazSq22mZUB2YVkNRUQIIaQuqnaitXTpUowbN67KbE8mk+H999/HDz/8QImWAfh8Hka094KPvQUOXFegqbscYY2c4SwzPPHJKijFnL9isScmFUB56YffItqirc+jKXn2XUvlkiwA2H0lGd0CHfBGM7cX2o9binyM+uUCVJryk6MV9cKmhwXW2TNbLjJzNHS21qlVJpWYwcOEd3ASQgipf6pdsPTq1avo3bv3E5f36tULUVFRRgnqVWJvLUb/Fu5YO6I1PuzqDz9H/UmfH5eZX4r8x2pjxaYouSQLKK+ftXD/LRRU6nf8TrreumKTlS8Qfbm76flcklVh64UknTIVtVmZWoOSx+4StbEU4YdBzdDSUw4A8HOwxPpRreH5jMm+CSGEkMqqfUYrLS2tyvpZ3IrMzJCRkWGUoOojxhiik3KxJyYVhaVqvNHcFa29bJ45sFqrZSgsU8NKbIb0/FL8GfUQG8/eh6O1GNN7ByLEzw5mAj5yivQvad3NKEBBmZq787BXsDMuPFa1vekzLm9Wh7SKgfoeNuYwF9XuQeMaLcOFhGz8eOIesgpLEdHJB10DHbmbChq5yvDre22RWVAKuYUItlXUDCOEEEKeptqJlpubG65fvw5/f/8ql8fExMDFheonPUnMwzwMWXeOG/i+9WISNke0RccG+hXUGWNIzStBblEZDsamYU9MKt5o5gIzAR+LD94GUF7IdPSvF7HjgxA097CBr70l+LzycUQV3mrhBgerRzW0who54Xx8Fg7fTAePB7zbzgttvW2qjDctrwTFKg1cZBK9QfyPC3aV4rWGDjh+uzzRFgp4mPF6UJUJWG1y7WEuRvx8Hup/D9qUP65i6eDm6N/i0aVUqbmw1u8HIYSQ2qvaidbrr7+OWbNmoXfv3pBIdAtgFhcXY86cOejbt6/RA6xr0pUluJejgdxSBG87C67+1dl7WTrT5QDAb+ce6CVa2YWl2HbpIVYciYPMXIhJXf0R1sgJCZmFiErUPRtVcUYmv0SNZu4yrB/VBnP+7zpS80oQ3tQFXQMccTM1Dx62lpCZC+Fha4mlg1vgflYhBHwefBwsIX7sjFqZWoPDN9Iw569YZBWWoW8TF3zaqyG8qyikWsHRWoLFbzdFbIoSeUUq+DtZIci59t+ZF/Mwj0uyKmw4k4DejZ0heUZySQghhFRHtROtmTNnYufOnQgICMCkSZPQsGFDAMCtW7ewatUqaDQafPnllyYLtK4Ysu4cMssEMBcK8O2Axghv6orCUjWcpGJM7OoPrZZh07kHyC9Vg8/THygeeS8LC/ffQq9gJ/g5WGH96QTYWIgwsJUbytQaJGUX6/QvKtNgxM8XsPjtpni9qQsiOvlAoSzBqbhMjP71IsIaOUNubobRHX0Q5CKFpcQMjdxkT4w/NkWJiVuucI//jkmFrZUIs/s24uZYrIqDtQSvNTRdBXpTsBDrJ1MOVmIIqnhdCCGEkOdR7UTLyckJZ8+exQcffIAZM2agovwWj8dDWFgYVq1aBScnJ5MFWlek55fCwsoKY0N9cFtRgLS8BMgthVj2TxxS8koglZhhSs8G+GbfTYwI8dZ7/sHYNFiLzdDAyRqrjt39t7UQ0Q9zsXxIcxy5lcGdGQtysUbmvwPOvztwC74Olpj7943H1qfA5G7+mP1/1/HL6DbPrBSfkFmo1/b31VRMfM0fjlLDEylFXjEu3s/BnbR8NHaTobWXjdFrgz2vFp42cJKKkaYsP4ZmfB7Gd/aF0Kza94gQQgghT2VQtUovLy/s27cPOTk5uHv3LhhjaNCgAWxsqh7n86oaF+qLLecTkfVvzSUzPg/T+wTim703oSxR49itdOya0AFBrvpnloJcrFFYpsbRW7rT8Gi0DInZRdj5QQdEJ+Uio6AU6cpSbDqfCAAoUWn1LoNVdvF+DtLzS5+ZaFVVvyvQ2RpWEsMLm+aXqPDNvpv4++qjuyHHhfpgWljDWlFd3c/BClvGtUd0Ui6KSzVo4i5Dk6ec7SOEEEIM9VxlwW1sbNCmTRtjx1IvfNTdHxYiAZdkAYBay3A6LhPNPeSITsrFnbQCuNlYQFTFmZOewc64npxX5R1uTlIJGrnJYCkxw4DVZ3WKZ07o4osgJ2t0bmCPk3GZXHuInx2uJefBy84CMnMhisrUeJBVBAGfB08bc8RnFiEhsxD2ViIEuVijkZsUA1q4YeeVZACAtdgM08IawkJk+FvlXkahTpIFABvO3Mc7rT0Q8Fgx1Zri52AFP4dnl9QghBBCngfNkGtk607GY0TnIL32/BI1V+7gzeauTywV4O9ohS/Dg3EzVYmLCTko05RfJvS2s0BLT5t//2+JTRFt8WfUQ1xLzsM7rTzQLdARUgsR5r/VGIeup+HY7XQ0dLaGlgHbLiXh51GtUVSmwazd17HvugJSiRm+DA/Cf3Zd5+byG93BG5/2DMCcfo0wpK0nCkpU8HGwhI/98yUiao1Wr02jZdz2HpeaW4y8YhWcZRLILaiUAiGEkLqPEi0jK1FpYWspghmfp3Mpr3uQA1YcuYuBLd3wbnuvp1ZMd5Wbw0UmwY4POuB2mhLmQgGauMnhafdoSptgVxlmu8qg1TKddXnaWmJsZ1+M6OCF+PQCpBeUYmSIF3wdrPDz6QTsu64AALzexAU/HL6jk/T8evY++jVzQSsvW7T1sX3hY+HrYIVm7jJcfZjHtYU1coKXne7UPFotw7Hb6fj8zxhkFZYhyMUa37/TDMFVXFqta/KKy5CSWwJriVmdnpKIEELI86FEywQ2n3uA6X0CcTouE4WlakR08kFjVxn6NnWFs0yiV1KhKjwer3zMkPvTk40nJWxiMwGCXGWofG7tUKyC+7+tpYgbBF5ZbpFKr+152VqKsGRwc/x9NQUn7mSidyMn9G7ioncZ8m5GAT7YdJk7e3czNR//2XUdG8e0hawO17C6rcjH539exdWHeZCam2H+m43Ru7FLlZeMCSGE1E8G/8Y/efIk1Gq1XrtarcbJkyeNElRdl5JXgm/23gQYw/IhLdCniQs87CzgZadft+plCm1gz/3/SlIuOvjZ6SyXCPnwMvIUM74OVvi4RwC2TwjB+C5+8LTVP6vzMKeYS7IqRCflIiO/xKixvExFZWp8u+8mdzZPWazGx39E405a/jOeSQghpD4xONHq2rUrsrOz9drz8vLQtWtXowRVl40P9YWnrQX6NXPBtN6BcH3BSYhjHubi+4O3MfevWJyLz0KZWvPsJ1VSUKrG1aQcnLmbie6BjmjnXX5JMPJeFvq3cMXrTZzB5wENna3x63tt4V+NuRYNpdEyFJWquZIgj3OWSfBuO0+MC/WF77+FUd1tzLmpcOqi7MIynIjTnZKKMSAxu6iGIiKEEFITDL50yBjjqp1XlpWVBUtLmnB3cnd/TOptDguRoMoSBim5xUjKKYJMIoSfg9VTazZdT87D4B/PofjfCY83Rt7HyqEt0M7HDvbWz65FlVNYhiWH7+B/5x4AABytxVg3sjU0WgYBnwc/B0u82dwN/3m9FFZiM5MMQL+Tlo/fIh/g7L1M9Ax2wuA2nvCpVGW+uEyNmylKHIhVIL+kfA7I9r52CG/qAodq7GNtZS0RorGrFNcem7TbSVp394kQQojhqp1oDRgwAED52KHRo0dDLH70haHRaBATE4MOHToYP8I6hsfjQfaEhOVqUi7GbryEjIJSCPg8fNG7IYa393pi6YTzCdlckgWUnxHZejEJ+SUqDG7jWWXCW9n15DwuyQLKi6muOX4Xy4e20LmEaapB2hn5pfhw82XcTS8AANw7EY/ryUqsfbclV88rOikXn26/yj1n+6WHmNEnEB397atcZ10hMxdi3huNMWbjReQWqcDjAZ/0CEBgHZiaiBBCiPFUO9GSycoHZTPGYG1tDXPzR5fERCIR2rdvj3Hjxhk/wnpCWazC3L9ikVFQPgBdo2X4Zt8ttPK25co26KniUpuWMey6koxODRyemSAplPpjnC4n5iK/WA2xtenHit3PKuCSrAqn72biQXYRGv17R+GNVKXe83ZHJ2NEyJMT0LqipZcN/p7UCQ+yiyA3F8Lf0YrmUCSEkFdMtb/JfvnlFwCAt7c3PvvsM7pMaCBliQrRD3P12hV5Tx7wHewqhdiMrzMZdecGDlh5NA48PP1sVn6xCg0crWFjIUTOv3cSSoR8jOvkA7nFs+/kK1VpEJdeAEVeCdxszOHvaAWhwLAhfZIqLp0KBTxIKl0udbTWn9ankausRm8aMCYPWwt4VHEDACGEkFeDwacM5syZY4o46o07CiVOnEvFvfQC9GvmihA/O8gtRLCxEKGDrx3O3MvS6S8S8LDsnzto7CZDKy8bbpzUtYe5WLD/Jqb2CMDdjAIUlanR1scWD7OL8VH3ALg9YZB9mVqDU3GZ+P7QbShL1Bjf2RfXU/LAGBDsIsXJuEzkFJWhfws3NHzCZSy1Rosdlx/iy93XwRjA5wE/DGqON5u7PvNyZWV+DlZ4t50nN00QAEzu1kDnzsaWnjZo7WWDSw9yAAByCyFGd/DWm8C6VKXB3fQCpOWXwk1envg9bZJrQgghpDbgsSfdCvYEaWlp+Oyzz3DkyBGkp6fr3Umm0Rh2V1x9oVQqIZPJ0Ow/u5CreXTGaMFbjTGsnRcA4EZqHiZvuYJ7GYUwFwrwUXd/7LqSjDtp5ZfXPukZgIld/RGfUYC/r6Zg+dHySaXd5OaQCPm4l1GI9SNbo7W3zRMHrl9MyMY7P0bqtC0c0ASZ+aX47+E7XJuTVIw/J3So8mxLXFo+Xl9+CirNo9fWQiTAvo9D4V0pSUrMKkJecRnsrMRwkUmqTMIyC0pxNSkXKbnF8LKzRDMPmd7dhOnKEtxS5KNUrUEDR2t42+ueLS1Ta/H7hUTM/TsWjJWfFVs5rCXCGjlXeQwIIYSQ6qr4/s7Ly4NUavxxtAaf0Ro9ejQSExMxa9YsuLi4GHSG41WQXaQCX/wo0Vp+5C56BTvD3lqMYBcZtr0fgrvpBdBoGT7bfhUplS4drjp2F/2aueCWQgmG8jNJWgYk5xYDAEQCPgpKyyelbudrC1e5fpJ0Jan8zJBQwOMSpa0XEmFnpZvcpClLcTstH3x+eR0rGwsRfO0tYSbgI6eoDJZiMwxo4QaJUIDCMg12Rj0sL2b6b+mts3czcTNViasP85D77xmyXsFOepNW21uJ0T3I6anHzFEqgaNU/xJihXsZBfhqzw1uyJpKw/D5nzFo5CqlauuEEEJqNYMTrdOnT+PUqVNo3ry5CcKpfwR8Hipy0TK1BifjMjBrdyxGd/TWSbIAoEyjhVrDIBTwcfRWOoa08cSWC48uu40N9cGyI3FIyCxE9yBH/DCouV7ldG87C0ztGYD8EhWsJULEPMyFRChAZhXFP0tVGvwdnQpliQpiMz4aOFmhe6ATPG0tMLmrP346nYCwRs6wtRBi8TtN4SIrv9M0OacI0Q9zsfxIHEpU5ePHTsZlYung5ujfws2Yhw9AeZmKx+dHzCtWIa9YBfcn3EdACCGE1AYGJ1oeHh5PLDxJABeZGGmVcppPegbAzqo8QbmtKMAn266CMSAzvxS+9paIzyzk+r7Vwg2ethaQCAXIL1EhIasQU3sGoFSlgb+jFbZfSkLCv/1jHuYhMasQTdzl3PNLVBqcvZeFX88+KunwTit3dPCzRVx6Ic4n5HDtDZ2swAAsPHCLa+sS4ABPW0tYS8yw7EgcPureAD+ejEdGfin4PGBqzwCM6eiDjIIyFJSouSSrws+n49GrkZPR7xZ0szGHtdgM+aWPZiTwc7CEi+zJZ8FeFdmFpUjILILYjA9fe0tYiOv2nZqEEFLfGPxbeenSpfjiiy/w448/wtvb2wQh1W1rR7RCVEopHmQVoVugA9p4P5rm5mFOEXf5a9ulJEzu1gCpeSW4k5aPvk1d0KeJM1LySnA/sxCLBjbDiTsZyMgvRecAe9zPLEILTxt0CXCAUMBHXHoBdl5JRolKixaecpgJ+EjIKMTGyAc68ey4/BDutua4kpSLT3sF4EFWERo4WaGdty0iNl7S6XviTgaGtPGAnZUIrbxssScmFRn55eUotAz4/tAdhPjZwVVmDqFA/5KxuUgAvgkuJXvZWeKnka3x+Y6rSMwuRmNXKRYObApby1e7+Oe99AJ8vPUKrqeUl8gY2tYDn/ZsWK1itoQQQl4OgxOtwYMHo6ioCH5+frCwsIBQqHvpqqrpeV4lfg7WaOFX9eUzp0rjkLQMWHYkDt2DHLBxTBvIzEW4lZqHS/dzkFusQkJmISxFAqQrS7EvJhW7o1MAANN7N8Sig7e5kg8bz97H7+P+n72zDnOrTPvwHfdkMu7uUnf3lra4a3ErVhaHZZHFlgUWFvfF3UtLS93dRzrubnHP90emmabTZSmUDzv3de21zJtzTt5k0jm/PPJ7xjA6PQKHxzvAesvnD9Q0barsZFNlJzF6BScUxKBWSOm2uQbs0ev3E6VTkBer45X1VQMeb+lxMCIlnDHpEby1qTZoHQGwcErmL+YTNSYjgs+uHU+PzUWUVvFfTWH/LPj9fj7cXh8UWQDvb61nem40M/KFJgEBAQGB3wo/KaIl8NPIjdNxxwm5/GNpKT4/hGvkXDc1KyCyWkwsPdDKK2ursLu9zB8UT3K4hrEZkVzz7k4AjGoZTT2OEF8tnx8+3FbP6PQIUiM1DErUs7eh/+Y7NDmM1sNqwYoSDBQmhhGmlnHi4Hi+7BNwAHqVlPw4PakRGsZlRrCrvodNVaF2FEnhAVuJsRmRvHHJSDZVdtJrdzM1J5qhyWG/xNsWJFKrIFIrRGsA7G4v646YpQiEpKIFBAQEBH59jlloLViw4JfYxx8au8tDRbsFq9PLiYPimJwdSY/NTVK4mkSjml67m40Vnfzr+/LgOV/taSLWoCRK1x+5EYlER62P8/gCwksMnDY0kazoXvY09DIkKYyiBAOTsqI4oSgOlUxCepSGSK0CiVjEX2bmEK1T8NWeJvLj9Nw0M5v0qMBQ6fGZkSilEu7+Yh9lrRZUMgl3nJBLdowu+LxDkowMSfp9V6N7vD5qu2y4PT6SItRofidu9Gq5lBl5MZQ0m0PWM6N1/+UMAQEBAYFfg590V6msrOSNN96gsrKSp59+mujoaJYsWUJycjIFBQXHe4+/a3psLp5bVcEr66oBSAhT8uqCkYzN6J/lV9dpDVo4HM7ag+2cOCg26A7fZXWRYFSFWDeIRHDOyGQAqjtt3Pd1MSkRanJidGyt7uKTHQ28fvFIkowqNlR08NDiYooSDJw/JoXCBAN3npDH1ZMz0CgkKGX9HweP18+nO+vJidUzPS8Gj8/Pq+sqGZUWTl7cH2NeX4/NxVubanl2ZQUur48ZedH8dX5+iKHqb5nThyWyq66H9RUdSMQirpyUztCksF97WwICAgICh3FsM1WANWvWUFRUxJYtW/jss8+wWAJmm3v27PnFXeMfffRRRCIRN910U3DN4XCwcOFCIiIi0Gq1nH766bS2toacV1dXx7x581Cr1URHR3Prrbfi8XhCjlm9ejXDhg1DoVCQmZnJm2+++ZP32WZyUNtppabDwoaKjqDIAmjscfDsygqcnn5jV7lUjE45UPMOSjSQFa3lhQuGkREVcEI/2GrmybOGcP7oZM4akch7l49mRGo4ALI+p/TaThvLilup67IhFkNTj403NlQTppYxPS8GjVLKuvJ2qtst7GnoYXVZO1uquunsm8MI0GZx8tmuJr7a08Tzqyt5eW0V9d0Oqtp/XmqqvNXMWxtreGr5QbZUdeLy/HoGt7vre3hy+UFc3kBE8PuSNj7b2fir7edYSY3U8MIFw/jm+gksuXEiN8/Ixqj5c9euCQgICPzWOOaI1h133MHf//53br75ZnS6/jTFtGnTePbZZ4/r5g5n27ZtvPTSSwwaNChkfdGiRSxevJiPP/4Yg8HAddddx2mnncaGDRuAgFP9vHnziI2NZePGjTQ3N3PRRRchk8l4+OGHAaiurmbevHlcffXVvPvuu6xYsYLLL7+cuLg4Zs+efUz7XF7cwrdlvQxKDEMqBrUs9C2O0ioYlGjgvc11KGUShqcYSY3UEKtXMjY9IlgTFatXctHYFHbW9fLWxlrOGJZAbpyeqg4LVR1WRqcaOWloYsi106M0nDc6ife21AMQqZVz5wl5fLGrgRaTkwSjmvouG5/taiRMLSNMLefOz/YFzz91aAL3nViAQS1DI5eQEqEOutYfwniUOYlur4+SZhO1nTYitQry4nRHda6vardw3itbgoO1n15RzhsXj2RqbnTIce1mB3aXl1iDEvkvNPOwpMnEztruAetL97dw1eT0381Aa51SRmGC4dfehoCAgIDAf+GY7yb79u3jvffeG7AeHR1NR0fHcdnUkVgsFs4//3xeeeUV/v73vwfXe3t7ee2113jvvfeYNm0aEBh+nZeXx+bNmxkzZgzLli2juLiY77//npiYGIYMGcKDDz7I7bffzn333YdcLufFF18kLS2NJ554AoC8vDzWr1/PU089dcxC69mVFUwqTOGpvnE3N8/MDnn8iknpPLGsDIAZeTGUtZo5bVjAVT05XM2ZIxKRikUUxBvotbu54LUthGvkjEgN5/K3tiMRiZhTGEtGlIZuqxPjYRYHKrmURTOymZQVzdbqToYmG7nl4z1EahWcPCQeq9PDpOwo9jb0MCY9gn9+Vxayt893NXLuqGRGpYUTppbztxMLuOSNbfjxo1FImZYbTX78wLTh8uJWFr63M9jxuGBsKrfOzh7gEr+3oTcosg7x75XljE4PRy2X4vL4WFXaxr1f7afd7OS0YYlcPy3zuKfyajqsnP/aFhaMTRnw2LjMiKMOwxYQEBAQEPgpHHPqMCwsjObm5gHru3btIiHh+LuCAyxcuJB58+YxY8aMkPUdO3bgdrtD1nNzc0lOTmbTpsC8v02bNlFUVERMTP8YmNmzZ2MymThw4EDwmCOvPXv27OA1joVpuTG8s7nfy2p1WTtXTUpHIRWTHaNlb0MPCWEqbp6ZTWmLma/2NLF4bzN7G3ooaTZRlGDgpCEJZERr2VLdhc8PJw2O5+V1lWjkEm4/IYcDTSaue28XV7y1g+Km3pDnj9IpmVMYy5j0cJp7HURqFZw9MonX1lfz/OpK7vp8H5dNTCNar6Crz94hUisnJ0aHVCzC7Oi3axiXEcEnV4/h3vn5nD8qmfmD4pAeMci5pdfOX/uGTx/iP5tqBkTCoL9o/3BsLi++Ptf34uZern53B60mJz4/fLKjgbc21Q5whf+5lLWY6LK6qGy3MjO//3OREaXl3FHJiIVh1QICAgICx4ljjmidc8453H777Xz88ceIRCJ8Ph8bNmzglltu4aKLLjruG/zggw/YuXMn27ZtG/BYS0sLcrmcsLCwkPWYmBhaWlqCxxwusg49fuixHzrGZDJht9tRqVQDntvpdOJ09kdnTKaApYLf7w8RBjvruumwOHn6nCGo5RLe2FDDacMSeXRpKXF6JWePSEIkgl6Hhx213Xy4rZ6nzx2KXCIiUivn1tnZGNVyFoxNJSNKy9++OkCvPSCGttd2s+ijPXxw5RiMajkWh5tWkwO9SoZIJMLh9nLykHieW1URtISwubz8Y2kZj55exHkjk4jWK2k3O2kxOZg/OI7kw4ZMd1hc3Pd1MTvreoJrD55cwIVjU4M/21xeOq0D/bgO7fFwCuINqGQS7O7+uqyrJ2cEI19V7dYBPmCf72rkqknpPzgL8ViRiAPfL77a08T4zAhumJ6JVCzi5CEJv5tCeAEBAQGB3wfHLLQefvhhFi5cSFJSEl6vl/z8fLxeL+eddx733HPPcd1cfX09N954I8uXL0ep/G2NW3nkkUe4//77B6zH6BWkRKip7bQF12QSEcuLW1myv4V75+dT12Uj0ajijOFJPN8ngsLUMv5+ciG3fbqXHbVdiEUi/H74clcTB9sC0aEbp2cNEDBlLWaaeuy0m50s2ddMU6+DzGgt/1haynmjU4jSykN8twC6bW721vcytyiORR/toa3P/f37kjbUcgkquRiVTEpNpzVEZAE8/l0Z0/NiiA8LiM9Yg5JpOVGsLOv3dNIqpKRGDBz2nBen5/0rx/DB1joae+ycNyqZ8Zn93ZcRRynkzo7WojlKo8DPIS9OR0akhsoOKxsqOtlQ0ckTZw4WRJaAgICAwHHnmO5gfr+flpYWnnnmGe6991727duHxWJh6NChZGVlHffN7dixg7a2NoYNGxZc83q9rF27lmeffZbvvvsOl8tFT09PSFSrtbWV2NiAO3ZsbCxbt24Nue6hrsTDjzmyU7G1tRW9Xn/UaBbAnXfeyc033xz82WQykZSUxNyieAZnxPPqumq21nQyNMnI2PQInlxexm1zcllR2sq03GhOHpLAsyvLgzYNPTY3D39bws0zs9HIpVS2W0mL1CCX9Wd3/fgRiwImpYfQK6XIxCK+29/C+1vr8fn9FMTrcXv9vL2phn+eMRiNXILV1R9FitUr6ba52VnfExRZh3h+VSVyiZjnV1dSlGDgrrl5PLk84ETv94PT4wum+iDg53TP/HxmF3RR323DqJEzLNlIWp8f15EMSQpjSFIYfr8f0RHjegriDcwfFMc3e5v7ri3htjk5tPQ42FTVSafFyej0CIYmhaH4GQ70CUY1r148go2VnTR02RibEcGwlPCffD0BAQEBAYH/xjELrczMTA4cOEBWVhZJSUm/1L4AmD59Ovv27QtZu+SSS8jNzeX2228nKSkJmUzGihUrOP300wEoKyujrq6OsWPHAjB27Fgeeugh2traiI4OdLctX74cvV5Pfn5+8Jhvv/025HmWL18evMbRUCgUKBQDXcoNahlJsXqGJoVR3WHlr1/u59GlpUzLjeabvc3sru+hKCEMlUwcFFmHyI7Vsauum8X7WoJrN07PorXXSbvFyXf7W7lyYjovrg2MxhGL4JHTiqjrtvFEX/E9QHdfKs/nh4e+LeGG6Vm8vLaKTquLOIOSyyem8cSyg1w+MW3A/sUiEcXNJpp7HTT3OqhoM/PIqUVUdlgRAZnRWuLCQsVneauFu7/Yj6dPgC2ckkFOjO4HBxwfKbIAInUKHjy5kAvGpGC2u0mP1iIRiTjnlU209B4ShOW8tmAE0/NiBpx/LKRFakmLPLoYFBAQEBAQOF4ck9ASi8VkZWXR2dn5i0SwjkSn01FYWBiyptFoiIiICK5fdtll3HzzzYSHh6PX67n++usZO3YsY8aMAWDWrFnk5+dz4YUX8o9//IOWlhbuueceFi5cGBRKV199Nc8++yy33XYbl156KStXruSjjz5i8eLFP3nvCpmEzGgtI1PD2VbTTW6sjudXVwLw5PKDPHnWYOQScdDDCWB0WjiPLQ3tBHxjYzWnD0vkjQ01lLWauW5qBl8uHE+ryUGiUU1WjJa7Pw8Vo6vK2rliYjqvrAuIq9fXV/PceUPZWNVFu9nBE8sOYnN5CVfLiTMoaT5sRM+ZIxL5YFt98OezRiRz1+f7g3VVRrWMnFgdubF6fD4/22q6+OuX/SIL4LnVlczMj2FI8rG7xhs1csak9w/i/mZP02EiK8C/vg90KmoVA60m/ghUd1hYU9ZOaYuZKTlRjE6PwPgnn+0oICAg8HvlmItfHn30UW699VZeeOGFASLo1+Cpp55CLBZz+umn43Q6mT17Ns8//3zwcYlEwjfffMM111zD2LFj0Wg0LFiwgAceeCB4TFpaGosXL2bRokU8/fTTJCYm8uqrrx6ztcORSCViLpuQRlGCgTaTnREpRrb3eTf987sybpqRxQurKzE7PcwtiiUhbGCa0uzwYOzztbpqcgZj0iOIOqIwPP2INN3u+h6m50Zx6+xsEo1qihIMpEVq8Pnhb18dwO31MSs/hk6rizOGJ2J3eemyuhieYmRVWRtdfRGxlAg1JS2mkOL1bpubdQc7yI3VU9VhZX15x4D0I0BX37Dp5l47W6u6KGkxMTgpjJEp4UTqfvy8Qrf3aJ2KnuPeifhboaXXwVVv7wh2bX6wrZ47T8jlyknpR40CCggICAj8tjlmoXXRRRdhs9kYPHgwcrl8QA1TV1fXcdvc0Vi9enXIz0qlkueee47nnnvuv56TkpIyIDV4JFOmTGHXrl3HY4tAYIbegaZeytssGFQy5hTGMTw1gqvf2UFDt51Oq4tEo5JnzxtKl83FV7ub2NdowqiW0W3rL3iflRfD1JxoTh2aQKJRPeBmW9dlI0orJ1avpMUUiExF6RT4/PDEdwe5e14u6VEB241xmZE8dvoglh5oYXNVJ2sOtnPasARGp0aQHavl8e9KKUgI4/uSNgD0ShlmR6iDPkCnNSCsGrpt7GvsZXiKkR2HmX+qZBJSIlSYHW4e/KaYbw9LhV42IY3b5+T8aCPSvHg9arkEmyu0U9Gg+mNGeMpazQOsMZ5ZUc78QfEkGI9eLyggICAg8NvlmIXWv/71r19gG3881pV3cNl/tgUL18dnRPDU2UP47Npx1Hfa0CikhKlkXPT6VkanR7CqrJ0t1V0smpnNmrJ2KtoszC2KZWSqkb99Vcys/BjmDoolOby/M87n8/PWxhr+s6mGBeNSUfUViOfE6PjLx3sAiDeE3pxzYnUUN/fy0TYbt87O4fX11by/tR6lTMz9JxWQE6tjRLKRVrODWJ0Sh8fHytK2kGtMzo4CIFqnZF1FOzfPzEEuFbOpspO0SA0PnFRARpSO3fU9ISIL4I0N1Zw9MilkOPUPkRur5/0rxvD+1jrqumycPzq0U/GPxtGGhvv8gUYIAQEBAYHfH8cstBYsWPBL7OMPRY/Nxd8XF4d0B26o7KS42US4Rs7rG6opaTZz6+wcYg1Kdtf3AAFPqocWlzAixchNMzLRK6Vc8+4uCuL1LCtuYXttF0+fPTRod9BpdfL5rkbcXj+vHjZP8dopGTg9PiZmRjL0iDopjULKBWNSGZ8RyXXv76Kprz7L4fZx52f7+Oza8WiUUjKUWjKitcgkYp44azBvbKhGJhYztygWtzfQeZgRpeHe+QXc//UBxqRHcMO0TCZlRwVnL3qOkvbz+TnmtN/gpDAGJ4Xh8/n/8GaiOTE6UiPU1BxmD3LtlIyjppUFBAQEBH77/CyDIofDgcsValap1w8c0fJnw+720mY6St2S1cUNH+zCZA+k415ZV0V+nJ4Yg499jf0O79tru5mQFYlSJuGuuXlsqe7E7vIyPiOC/U29NHTbEYkgRq/k6snp/OO7smAHo0QsIjdWx/tXjCY7RkeE9uj1UF6/nwNNppA1nx82VHTweN9onjHp4dx/UgHPrqwgLVKDx+vjsaVlSMQivr1xAhlROs4dlcTINCMdZheJRhVpkf0Rt4woLUOTwtjVJyQB5hXFkfoT/ar+6CILIC5MxasLRrLsQAv7G3uZXRDLhKxIoT5LQEBA4HfKMQstq9XK7bffzkcffURnZ+eAx71e71HO+nMRo1NywZgUXlhTiVgERQkGJGIRsXolw5PDWVfejsfnZ2ddD6PTIhgWo2V3XQ/lfcak03Ojqe20UZRg4JaP9+LxBfyzpuVGc+FrW4OdirmxOiZnR3Hj9CxWlbUzJScKr9ePVCwmPUpzVJHV3GPH4vTgdHvJitYGnxNAJAKlVMzNM7NxuL3IpWJKm020mRxUd1iDx3l8fpp7nGRE6ZBLJeTHGSBu4Ptg1Mh58uzBfLu3mbXlHcwqiGV2QQwqeX99VqvJgdXpIc6gCln/M5MZrSUzOvPX3oaAgICAwHHgmIXWbbfdxqpVq3jhhRe48MILee6552hsbOSll17i0Ucf/SX2+LtDLBYxNTcahVSMXiVjzcE25FIJle0WZGK4bU4ub2+uob7LzpqyduYWxXL7nBxqO22YHB521XUjl4hpNtmDtglj0iNYur8lxA6itMXM7IJYRCIRcwtjeXBxSfCxmfkx/OP0QRg1cuwuL3aXh931PTz8bQkz8mMwquXcMy+Pfy4rY1+jCblEzPXTM4nQynjww/7rnD4sgdOHJfDW5rrgmlwiJkb/4zoH0yK1LJyWxcJpoXYgbq+PFSWt/PWLA7RbnMzKi+GOubkDOij/Fya7m1113exv7CUpXM3wFCMJxoGu9AICAgICAr8Gxyy0vv76a9566y2mTJnCJZdcwsSJE8nMzCQlJYV3332X888//5fY5++Gqg4LLXU2nllxkNOHJfLAN8XBx74vaeX22bk8trSUm2Zk8ezKCu6al8v5r25hZGo4swtjidIpKIjT02l1UtXRX6cToZFT320nXCMP2i9AIAWolIl5anl5yD6WF7dSNdmCp9XP0yvKaei2c+LgOC6bkMaDi0uwubzIJWLumZ/H3CIPZocHh9vLy321XiIRjE2PQK+SMTs/hn2NvYzLjEIihuHJxmMWREdS2mzimnd3BmcbLitpRauS8uhpRT+6I9Hv9/PJjoaQ93hiZiRPnzuU8KOM8/k5OD1eLA4PBpUMqeSYZ7ELCAgICPxJOeY7RldXF+np6UCgHuuQncOECRNYu3bt8d3d75Br39nJlupOpGIxW2tCrS78fqhotxCtU6CSSfjwyjHsqu/B4fYxOj2Cj7bVs+ijPby4thKtUsbgRAM3Ts/irrk5TMiKZGhyGHOL4rh1dg5GtQyJWIRCKiY9SovNNdCGweb0cuFrW9lY2Uldlw2r08vjfWalAC6vj4cWlxBnULG8uIVxGREUN5lRSMXceUIePr+fD7fVs6q0nYlZUby0ppJnVlTw5PJyqjssA57vWKjptA0YIP3tvmY6LAMHVP83Grrt/HNZqMHruooODraaf9bejqSk2cQtH+9h3jPruf/rYqraf95rFxAQEBD483DMEa309HSqq6tJTk4mNzeXjz76iFGjRvH111+HzBv8s9LQbWdTZSdj0sND/LAOoZCKcXt9xBmUGFQy3F4fpwxN4N0ttdR22lBIxSSFq1FIxXyzt4mv9jRz19w87vp8f7BbTykTc8ecPDxeHyIx5MfqOH1YIh/vaAg+T5ROQYvJEZJqVMslIdEwCMwurGizMLsgjtRIDVNyoog3qHhzQ3WwI1GjlPLkYSN+9jT08MaGGu4/qeAnR3citQMjTjmxOrw+H26PD6/fx666HvY39RKtUzIs2UhSeGhK0OvzDxiYDeA6ytpPpaXXzuX/2UZjT+C9eHtzLRXtZl65cARa5R/TmV7gt4fN5aGmwwb4SY3UoJYf30HrAgICvxzHfJe85JJL2LMn4NF0xx138Nxzz6FUKlm0aBG33nrrcd/g74175ueycGomKREa5hbGIT9MiKhkEuLDVERo5AxKDCNSq0AqFpMSoaa200a4Rs5tc3LY19DLlW/voN3i4pFTi9hZ1x1iieBw+2i3OPDho9Pi5PUNNVwyIZW/zMwmM1rLWSMS+c8lI9GrQoVAj81NnCHUVV4jl+Dx+Xh2VQVbq7r42/x88uP0QZEVeL6BDQ6rStswOQJC0uP1YXYMFJWHaOi2sbehh9bDrpkXp+fCMckh+zh3VDLznlnPW5tq+GJXE+e+soWHFpdy4we7WfjezqAh6yESwlScOzLpiDUlmdH/O61pcbipbDfTdsQ1j6Sm0xoUWYfYVNlFfbf9fz6HgMDxoLnXzl+/2M/cZ9Yx95n13P7pXhq7bf/7RAEBgd8Ex/y1aNGiRcH/njFjBqWlpezYsYPMzEwGDRp0XDf3e+SLnU20OFpYODWDvy8u5oULhlHeZsbvg6wYHSKRn1MuHolWKUUkCnQYVnVYUUjFnDMyiX9+dzA48mZTZSdxBuVRTSxtTi8xOiUf76ih3ezE4fby1/n5XDw+FZPdTXOvg+RwNYUJevY3BmwcvtrTxNPnDOGvX+ynqddBhEbOVZMzeGlNYAbjt/taOHVYIg63D4lYdFgELVAzlRCm4uQh8QAkh6vRKWUUN/Xy5sYadtR2M68ojjNGJAZNVf1+P6vL2ln00W56bG6idQqePW8oo9IiCFPLuW12LqcMTaDN5KS0xcQj35aSHqVFKhHzr+9Da872NvRS2mwi9rDxQzKpmGunZpAWpeXL3Y2MSAnn7JGJxP8Pz6myFhP3fnmALdVdxOgVPHraICZnRx3VPuJokQOlTBw0hxUQ+KXZUNHBpzsbgz9/vaeZcRmRnDsq+QfOEhAQ+K3wo4WWz+fj8ccf56uvvsLlcjF9+nT+9re/kZKSQkpKyi+5x98VYRoZp45J5fNdjUzNCdg0ROsUGNQy0iI0RGjlLDvQygurK1HKxFwzJZNBcToWzczGZHeHzBUE+HxXI8+eO5TvDrQG16RiEdF6BXKpmPa+OYMWp4ePt9ez9EAryeEqDGo5726q4fkLhtNrd9NmdmKyu3lkSQmXT0jDqJGzu6GXZ1eVB329BiUZcHl8tFkcXDQmhTc21qCSSZCKRTx73hCsTh/3frkfl9dHeqSGKK2ch5eUUtkesH54ZmUFNV02Hj99EAqZhJpOGwvf2xmsCWszO7n+/V18uXACsQYlOpWM4SnhrC5r4+kVFQBMzIqkttN61AiZ8yiRtfgwNZdNSOPCMcnIJOL/6TdldXi47+uAyAJoNTm58u3tLL5h4lHd6jOjtFw8LpU3N9YE126fk0tyuNDZKPD/w6bKgTY668s7BKElIPA74UcLrYceeoj77ruPGTNmoFKpePrpp2lra+P111//Jff3u2N9eSe7ml1cOSmdwYkGrE4Pxc1m1pa3kx+nY96geO78bF/QtuH693fxxFmD2dvQw+z82AHXi9QqkIlF3HlCLjtqu5FKRAxJMvLmhmpOHZYIQFa0FolYzJ2f7w+elxqhZu6geK56ZwefXjOOh78toa4rkO7qdXhoMTvZUNERFFmJRhUTsyIpae7l4je2MTzZyL3z84jQKnj8uzIauu2Mz4zgbyfm02l1UddpY2d9D1dNSuf2z/YFC9u/3tPEDdOyyIzW0mpyhMwohICwaTM7iD0shak/rNbJ54flJa2cOjSBd7b0W0roVVKyY/+7Ge6P7VRsMzvYVBnapOD2+qnrtB1VaKkVUm6cnsW03GhaTIEoYVGC4U9hnirw22BUWnhIRAtgTEbEr7QbAQGBY+VHC6233nqL559/nquuugqA77//nnnz5vHqq68iFgvt7odjd3vRKaVsq+mivM0SHNJ8oMnElupuzhqRxHtb+0XE9pouzhiWyNd7mzl7ZBIfbqsHApGre+fnkx2r49X1NZidbtxeP0v3tzAtN5pwjRyZRMT0vGheW18dsoeaThsXjNFgsntoNzlp7HGgU0iRSEQkhauo67IFR/W0mhx0Wlyo5VIONJrw+wPu9HOL4rj1473BgvoNFZ1IxSJcHj+bqgLfsvNi9Zw1on/PKpkkWJcWppKxaEYWbp8fqVjE25tq8QORmlAPruwYLReNSeGtzbW0mhzIJRKsLi9XTkpnQ0UHqREaLp+YFuI6/1PRq2Qkhauo7wqtsYo4SnH+IYwaOZP65jv+EBaHh9IWEx0WF6mRarKjdYIgE/jZTMiMYlZ+DMuKA1HtqTlRTPkRn0cBAYHfBj9aaNXV1TF37tzgzzNmzEAkEtHU1ERiYuIvsrnfM3qVjG6bmxVHDGSu67IRfsRNPUYfmHc4NSeKtQfbWTQjiwitnNQIDVE6BYhEPHRqIa+sq6KsxcRDpxaxZF8z3+1v4bHTB5EdE5hJ6AeWHWhBLZeSG6sj3qAkNUJNYriKx04rorjZREa0lo+3NwRTZ1qFlJtmZFHSbCLJqKapp1+A9NhcIV2LAGsOdnDtlIyg0CppMTGzIBqAESlGLhiTzLryduLblawsbePtPqNThVTMHSfkkh6pId4YWkOlVcq4eVY2cwpj6bA4OWdkEp/vamRDRQdnjUhkSk40KT9xbM+RRGgVPHJqEZf9Z3uwY/HG6Vk/esj1f8Pi9PDsqnJeXFMFgEwi4uULRzA1N/pn71ngz02CUcUTZw2musOK3w9pkZoBjS4CAgK/XX600PJ4PCiVoR1rMpkMt/u/d5v9WcmK1pJgUFLVbkEuEQ+wIJD1RTmUskABfHqkhsX7mnl5XRWPnT6Ifywt45ZZ2by9qZbviltRysQsnJrJuaOSsDi8XPTG1mCqbmtNF3+dn8dzqyqQS8T844xBfL2nmWXFrfTY3Dx6+iDMDg9/++oAVpeXm2ZkBUUWBATCxopO/nZSPiq5hMIEA/MHxfHN3uajRmOSwlW0mUPnOMbqldwxJxe728NNH+4Jrl82IY28WB3tFicdFhdL97fw+iUjcXm8tPQ6UMokRPcVt4ep5YzLjAyeOyQpDKvTg04pQywW0dJrp7rDilouJSNai1bx09vbx2dGsviGidR2WonUKsiK0f7sdvmDLeagyIJAOvKuz/fx1XXjidIpf+BMAYH/jU4pY1Bi2K+9DQEBgZ/Aj767+P1+Lr74YhSK/rSPw+Hg6quvRqPpjzZ89tlnx3eHvzPuPTGf3KRowtRy1pW3c+6o5JBC6mk50YxIMXLfiflE6RQ8urSUNzfWUpig5y+zctha1cnVk9LZVtPNd32pAofbxxPLDqKS5VHfNdDoc115BzdMyyIlUs3T35dT2TeXcOmBFqo6LNw6O4fLJqbh8QZc5I+kqsNCmDrwDTlSq+DBkws5c3giJoebBeNS+U/f/uUSMTdMy+LeLw8Ez43VK0mOUOP3wcVvbgu57lubavjHGYPYUtVFcriazVWdNHbbeW1dFZ/sbCRcLee+k/KZkReD4oguPqlEjEEdiPyVNJm4/K1+L6vzRydz86xsVDIJKpnkmAcui0SivnmCP8/d/nC6bQONVpt7HVicXqJ+XrBMQEBAQOB3zI8WWgsWLBiwdsEFFxzXzfwRePCbYkTyGjKjNNx/ciGrStu4bU4OZoeHlHA1SeEqlu5vYVRaOLd9shdrX7H4/kYTbo+f04YlkByh5j+bawdc22R3HzXKFKGRc6C5F7fPHxRZhzjYasHu8vL8qko8Pj+3zc4ZcP6ZI5IwqPrTmUaNnLw4PXOeXsets7NZNCMLp8eHVCJid30Pl4xPZWdtNykRauKNam58fzcPnlIQ4vUFAUNRrw8idQrsbi8Lxqby2c4GPtweMFZttzhZ+N4uPrtmLMNSwo/6fro9Pl5aWxniZfXuljqKEgy8ubGGiVmRnD0yiczoX1fNJPeZzB4evZyUHUn0j5wJKSAgICDwx+RHC6033njjl9zHHwa/Hw5JofpuG7WdVkwODya7k8GJBm76cA/tZic6pSwosg5R1momJULNgaZeCuP1VLSFjnqRiEUY1XL0SikmR6BbUCEVMyk7ihs/2E1OrB6JWITf78fftxepWER5myXY5fjl7iYePLmQ51dX0GV1cf7oZE4dGj/gdUTrldw8M5uNlZ20m51srupPN2ZGaTl3dBL4CQ6ydnv9QePVQ9w5N49X11ZR2mpGJApEoiyOgaOCKtqt/1VoWZwettV0D1iv67JR2mKmtMXMxspO3r5sFOGaX0/UZEZref3ikdzzxT6qO2xMy43mzhNy0QgO3gICAgJ/aoS7wC/EuaOSuefz/UGBA1CUaAz6XskkYsSigJ3BISI0cpQyMR6fn8xoHYlGFQ19DuQz82Lw++HNjTW8dvFIDraY8fh85Mbq+ayv9XtnTRePnzGIijYLUokIt8ePTCxiyf6W4HOMTg/n0531TMyKwqCSse5gG9PyYtjfaEIhFZMbpydGr6S4yYRMImJUajgJRhUJYSo2VXZSlGBgWIqRx5aUcdXk9OB199b3cu/8fP6zsYZddT2cNDiOgy1mSvvmDvr98M7mOu6dn88Xu5tC3iuH20txcy/5cYYB76NBJWN2QSyvbwjtqlQelmo80GSiusP2qwotkUjE+MxIPr1mHBaHlyidApVcMDUVEBAQ+LMjCK1fiF67O0RkATg9gQhWUrgKhUzEwqmZ/HtlwKhTJhFxxaR02swuHG4fr6yr4OyRyYSpZUhEIsrbAsLq1tnZDEk0MDI1EAGqareQF69DJIJpeTHc/ule3N7A88bplTx59mDeOKxGzKiWs7u+l931vcG151ZW4PP72VLdxaBEA/fOz+f8V7cE02BDEg3cOCOLnBgdVR0WHG4vY9LDOVQaJRGLyIjWcNfn+1g0I4u75uYhEsEVb+0Y8L6IRKBTSDE7A5GtCZmRbK/p5t8rKvjs2nED5hmKxSIuHJtCfZcVl9eP1elmbEYk4Ro5IhHBejWF9LdhMRKuURB+fBokBQQEBAT+AAhC6zhjVMsQKWTkxh6lZsgPN8/Mot3s4t8rKhmUqOfZc4fS1GvH6vTy7uZaThmSQJxByeTsKL470BKMgJ0zMgmzw4PT40N2mDlnh8WJ1enhlpk5rDnYHhRZAM0mB2UtZm6Zlc0La6poMTkIJBVDaTU5yI0L7HdvQy/ba7pC6q2m5Eaz8L1dIeajN83IIlwtY2Z+NLMLYvl6TyOnDU2kKDGM3Dg9Xp+fSdmRvLO5LuS50qM0vHfFaJYVtyIRiyhpNvPVnkCEq6LNMkBoBd43P8NSjHy7r4UYvYJIrYLlxa3MzAt4C503Oon0qOOnblweL/saTVS0mQlTyxmcGBZisCogICAgIPBjEYTWceaza8eh1ekxqGTcMy+Ph78tweeHS8enEq6RY3N5ebuv0H1LdTdbqru5eWY2T68o56wRiYzJCOeDrfXUdtqYWxhwim8xOTCoZLSZHczqc4+v77Kyvaabg61mtEoZHp+XXvtAq43mXgeJRhXzB8UyKCkMqXhgynJaXnQw/QjQbnGhkkmCUSevzz/A4f3rPU3855KRrDnYzi0f7wVgzcFOeu0urpqcQX2XnVOHJrC/MRA9k4hFXDslg8GJYdhcXv6zsSZYZ3aIwzsiHW4P1e22QKStpovHlpYBsK8x0GV57ZQMMqO1nDkikaFJxp9tz3A4q8raufqdHcFo2dj0cJ45d1jA0+wwOixODraawR+YY3nk4wICAgICAoLQOs5E6ZTo+7yhLhyTwriMCLosLl5YU8nehl6kkoFdg20mB3eekINGLuXmj/bQanKikIrJjtExNiOccRnhOD1+ZhiiSTCqaOl1cM27O4PDogFumZXN9Nxo9jb0pwQlYhF6lYy1BztYNDMLrULKkn3N3H9SAe9traPL6uLM4YnUd9vpsvbbExTEB0bdHBJkR3NPUMultJldrChtD66JRZARreXU5zfSZXWRZFTx4CmFWJ0e1HIJ6VFawtRywtRwxwm53HXYyKAJmZFB09AOs5OnV5TzzpZa5hbGUdxsCnlup8eHx+enIMFA6k8wMm3ottFjcxOjVwzwuOq0OHnwm+IQC41NVV2UNJuI0vW7cdd2Wrnh/V3s6Xu/C+L0PHv+UNIij59lxJ+JHpuLzVWdLDvQSlaMlhl5MWT9TBNZAQEBgd8CgtD6BVHIJGREa9lWU8eGyk4SjSrGpkewmdBZe5E6BS+uqeSmGdm0mpwkGlUsGJfKh9vqWXuwnVOGxjM5J4qcvnRkSbMpRGQB/GdTLZeNT+XG6Vl8X9KKViFlRn4M/9lYQ7ROQWaMFrlEwgVjUtnV0E16pIZ5RXFIxCI0cilKmRiNXMq98/Oxu72cPzoZjUKK0+NlWLKRGL2CVlO/UelNM7LwHWHoNSkrisV7m+myuhCL4JopGWyo6EAulbCnvof6LhvPXzCMzGgtcwriSDSqMTnc6JVSMqN1RGgDEaHttd3BqJ/V5UGvHPgxjTUoSTQocXm8/3POYbvZQUO3HZ1SSnOPg+s/2EWPzU2iUcW/zx3K0GRj8Finx0enJdQTS6+S4vP5eXVdFW6vn7Hp4ZS1moMiC+BAs4kVJW1cPlEQWj+FL3Y3cd9X/f5s726u5YOrxpJoFIZ3CwgI/L4RhNYvjNPtC6bdGrrtJEeoidIpgrVXubE6kowq7p1fgKTPI+vMEUk8uqQ0WCf19uY6NAoZ03NjAHAfMRYHwOr0YHG6SQnXcuXEdOxuL1XtVlp6HTx4ciHLDrRS0WohP17P8FQjV0xMZ1NlJ1qFlPUVHVw/NYuCeB0bK7t4eV2/w/mEzEiyorU8c85QylrNdFtdjEmPYEhSGHa3N2QGW3qUhve3BmYenj0iiQ6Li/e31mNxehibEcH8wfEsO9DKpspODjT28nlf9+GsghjunZ8ffM7ipn4Bs768g9vm5LKvsTeY7kwyqkgyqrn63Z10WJxcMi6NIclh+Px+4gxKlLL+j/X+xl6ufXcHdV12FFIxl09II96gosfmpqHbzs0f7eaTq8cFRV6MXslFY1N4aW3/e3DN5AwWvrczaMchk4h49LSiAb+DXXU9P/xhEDgqrSYHT39/MGStocdBabNZEFoCf1jqOm3saejB7HCTH6enMMGAVPLbaOoROL4IQusXRq+SkWhUMSzZyM66QHfdtVMziDMokYlFHGg2ccsne/H74ZLxqZwxPAGXxzfA/POTHfVcOiGVaJ2SrBgdYWoZPbb+mqyLx6UyMi2cK9/aEewWTDSqeOPiEXy0vYGv9zYHj71yUjonFMSAKOD5df7oZL7Z20Rhgp63NteEPO/6ig7mDYqjqt3KKUPi0avkeL0+JBIxCpmEB04u4NShCdR32yhMMFDfZaPT6mZKThQ3fLA7uJdNlZ1EaRUMTjTQbXcHRRbAsgOtTMiM5KKxqQDk9aUuATw+P+9vreNfZw+hw+pCKRWjV8m46u3t2N19swo/3M2imVm8vLaKSVlR3DYnl7RIDRaHmwe+Lqaub4C00+PjudWVLJqZHUxHVnfYaDM7g0JLIhaxYFwqeqWMD7bXMTQxDJfHF+J55vb62VDRSWa0NsTrbEa+MNdQQEDgf1PfZeOSN7dS2R4wmBaL4K1LRzEhSxgW/kdEkM+/EP7D0mojU8NZMDaZKyelc920TJxuL/d/XcwDi0tQyqSMTgtYNbyzuZbxGZEMSw7j2ikZzC6IDUa5koxq1H3eUWmRGj66cix3z81leHIYD51SyCXjUvlgS32IM3lDt512iytEZAG8tr6aZpOTdzbX8czKCmRiMemRWlRyCS7PwGhZY4+dv361n30NvTy0uJgzX9rEC6srqO+yEWtQcUJRHFdOymBYkpHThyeiVUp4aV0VC6dmMjY9InidTVWdxIWpqDnCvR5g7cH+Wq8RyUbOGZkU/DlKq2BQYhiXjEtlW00nxU2moMg6xHf7WxmTHsGS/S28vLYSt9dHt83N1prQNC2A090vmmL1SsI1oUO+48NULJyWydfXTeDxswYPsOkAsLu9XDgmGblEjEwi4qrJ6YzPiBxwnMD/Jkav5KYZ2SFriWHKYCesgMAfjX2NvUGRBYFa2Ke+P4jNNdDQWeD3jxDROs4UN/WydFU9Za0mzhqZzOTsSLptbt7cWMPo9AiUMjFPLg+kpWwuL8+tquAvs7LZXNVFuFqOVCLmrs/30WpyUpig57bZOfzr+3KumpyOy+ujt69o+D+banC4fVwxMZ1J2VFIxCIae+0D9nO0NKPX58fj83HlpPRAVEwEhYkGvtzVyKlDE/l0Z0Pw2ERjIM12ypAE7v+6mIN9ERyPz98XhUsLGnOWtphY+N6uYDRuZ20PN8/MZkdtNy6vj6IEA1/vaST9KMP/Jh72Tc7s9OD1+Xjk1EI6rS4au22YHR58fmgzuUg0DiyA1yql2JwBAbV4bzM3zsjCqJYxMtU4wFn+kNmpViHln2cNIkZ/dOuGsL5Zi5Ozo3huVUVIp+a5o5IZlxHB5Oxo/PhJMqqFsP/P4JQhCcTqFXx3WDG8kDYU+KNiP6KLG6DD4sLl8aGWH+UEgd81gtA6zlz+n+1Y/IF/KZuquvjb/HxqO60UN5sZnGhkZX3bgHPqumxE6RTcOCOLWz7eE4xK7W80IRWLeeWi4Wyu7MTm8uLz+7m1L9UIcM27O3nxgmHMLojlorEpQasFCISjVTIJ+XE6ipvNRGkVyCQicuP0fLK9gbXlHajlEi4el8qw5DAW723mjjm5ZMVo+GZvM1nROtIiNTyzopxrpmTwyQ4LWoWUG6Znsbmqk893NSISwSlDE4gzqNhR1z0g5bm6rJ3hqUbKW82MSY/g4W9LOGekjHlFcSzeF4i0Tc2JZmpuf9qtqt2CRiHjqz3NjEkPZ3CSkW/3NyMWwYVjU9lT3xNSnC8Ri5iZH8Mj3wbGAeXE6tHJZWiUgeL+q97eQVOvA7lEzF1zcxmXGcnIVCPxYSpSfkTX4pCkMN67Ygxvb6rF4fZy0dgURqWFI5WISY0U3EmPBwa1jNmFccwujPu1tyIg8IuTG6tDLhHjOuyL8GXj04Jf7gT+WAhC6zhjcngQK/r/sTy/ppKHTynEqFVQ2mwiPVITMjcQIMGg4rIJqfghJPUHsLu+B5fHR7vVxYdLSpmWG80RzX58vKMBm9PLmPQI/n5KIW9vqkEtlzB3UDyfbK/nsdMHUdVuZXttQAiNzQjniWUHuXxCGjmxOlpMDlaVtQcGIIvg6smZTMiM5Ib3d/H5roC/1iGLh4vGpvDvFeVBj63HlpZhcXr4y8yco3pZhWtkXDMlA6NaTqfFyQvnDyMtUkNimIprJmfg8/tJi9KgU8oA6LW5eHFNFdtrA1GoTVWdTMqKxOeH/2ys4aOrxiIS+YnUyrG7vUjEImINSp5cfhCfPxCluuOEHDR9nYpFiWF8vnA8DV029CoZaZGaQOTpGKwDpBIxY9IjGJMegd/vR3Q0vwsBAQGBH0l+vJ53Lh/NC6sraOyxs2BcKnMKYn/tbQn8QghC6xdGKRNjc3l5anmgq+ovs7KJ0ipotwSiMTkxgdqoT3bUc93UrAHnx/c5kn+6owG1XIL6KPPz9EoZy4pbidIrKEwwcM6oZBRSMRlRWk4eHE+r2cntn+3F0VfX9P62Op47bxjPrqrg1fWBGYKpEWrmDYrns50NDE8xkh9n4LEzBvP2php6bG6yo7VMy41GLBYFRdYhXl9fw6z8WBRSMREaOZ19nlxScWCs0PC+gdHpUaHWB4WJA2cbVnVYgyLrEGvLO7huWibrKzpYU9bGwmlZuDxeRIiQScWY7C6SjGp67W7SIjUDnidGrxyQHvT6/HRZnWgVsmOaSXhIZLWZHbg8PuIMqmAdnYCAgMCPQSQSMSotnMFJw3F7fWgVsl97SwK/IILQOs4kGJU02/p/XjA2lTc29g9EfnZlBReNTSU1Qo3X5yc1Us3u+l6Gp4SzraaLG6Zn8tG2Bs4ckYjf7yc3To/f78fr9+Py+hicaODKSel8d6CF2k4bSpmYCZmRWJxuzA4Pl7yxLVi8nWBU8s5lo9hQ0REUWRBIJx5sNVPc1O/FVdNpw2R3s6Gikw6zk7gwVWCeoh8eWVLCjR/u4dShCSSEDaxnMqhkfLazgQ+21XPlpHS8Pj8KqZjhKeGMTAnH7fVR2W6mtdeJRCQiM0aL3w9ev58ITejw5aOJlsMDSI6+iN/h3ll6lZwRfbMffww1nVbe2ljLV3sayY3Vc8usbIYc5qX1Q9jdHr7b38rfFxdjsnu4aGwKl05IIz5M9aOf/2gcap74qdGyijYL1R0W9EoZubF6DGrhD7eAwG8dhVSC4n/4AAr8/hGE1nFmdkEsUeFGGrpsJIWr6bI6mVMQy9BkI9/ua6bV5OSVdVU8dGoh35e0Mn9QHG9vqg1GuEanGbnjhFxu+2RvMH9/4/Qsbp2ZjUQi5ukVFXRanJw+PJHBiWE09ATE1rtbmtHIJXh8fvLidMwriqfH7mJDRRcJYcqQAcwRWjl1XbYBe2/stvGXWVmIRFDabKK518H7W+vY2ecP9cmOBsQiGJxoCDHrvHFGFg8vLsHp8fHvlRUY1TLOHpGI1+/D5HCzsbKD19fX4PT4uHBMMhaXm4ZuB11WF7EGBWPTI8iKCVg6ZERqOXFwHF/v6e+UnF8Ux4byDiRiEVOyf177s9MTiC5+2Wcvsb6ig70NPXx13YQfVW+1p76Xmz7cHfz51fXVRGoVXD0l4yftx+XxsrW6izc31iICLh6Xwsi0COTHMCR7a3UnC17fhr2vm/LM4YncPS9PqPcQEBAQ+A0gCK3jzOvrazhphIRum4sum4s4g4r/bKxALBJxzqhkDraaKWk20dhtZ2xGJB0WV1BkAWRG63jo25KQIslnVpbz0gXDuOqdnUGx9MaGGq6dmsHQxDBu+3QvgxIM9NrdaOQS5g+K5/HvyoLn58fpOX90cnDAc1OPgxEpxpD5hgB58Qbu+6qYu+bm8dyqcmQSSXAczyE+2t7Ao6cVMT3Pic/nx6CWYVTLgunEWL2SS8an8tr6al5cW83wlDBm5sWyo64bvz/QWVPbZefFNZV4fX6UMjF3z81DIZXgI1CvdtfcPGbkxrCrvpvsGB2dFhc+P9wyO4fBSWE/6/fT3OsIDrE+hMnhobLd8qOEVnmrZcDaJzsbuGBMMlrlsUeRttd2c8FrW4M/f1/ayvtXjGHMYbYYP4TJ7uahxSVBkQWBmr1ThiYwPlOwmxAQEBD4tRH60Y8zWdEalh5oYUZ+NDmxOt7cWIPV5cXs9PDKuipm5sdw5vBEXl1XzWNLSwfUDhlUsqBr/CH8fmg1OQcUwX+1uwmJRES3zY0XOKEojtmFsby/tS7kuOJmE0UJBs4emcS8QXH8/ZRCqtutLBiXilImRi4Rc/bIJOq7bJgcHh74ppiThyRQ1WGlMMGA4rDoil4ppc3s5MnlB3ludQVeXyClmWgMpM7OGpnIE8sO0tb3GnbU9rCsuJXJ2VGIRYEiUKlYxDVTMrh5ZjYGlYxnVlawu76H6U+s4b6vD+Dzwai0cEqazPztqwMsK26lqsPC7vqen10PpZJKCD9KpEd3lDE/RyNSN/Dc/Hh90DLiWPn6CNHn98OS/c3/5eiBWJ0eytsGir9Oi/MoRx9/THa34P0jICAg8AMIEa3jzN1z89nV6kQplVLS1Dng8S1Vnexp6A1GrMI1chKNKhq6Ax5YVR1WBiUY2NvYn5pTysTEGQbWAKWEa+i0uNDIJeAPDEuemhPFipKBFhItJgez82NYVdbOq+uqmJAVRWG8jrmXjGJlaRvfl7RR2R64YdtcXnLj9Fw7JYOv9zRx/bQsRIDZ6UYlk/By33ganz/gfH/zh3t457KR9Ng99NrdIdE4gJ113Tx6WhFpkRoeWlwSFAZyiZjb5uQEInh9bvjvbqkjyagmL07Hlj6z0X2NvczKjwk+nh6pYVBiGNofKY4OJ8ag5L6T8rn+/d3BtZOHxJMdo8Nkd1HeZsFk95AWpTnqwOohiWGMy4hgY2Xgd2tQybhiQvpP9tDSKAa+Bu1Rujf/G5FaBScOiufD7fXBNbFoYOPB8abb6mLJ/mZeWVeNUS3jphnZjM2IQCZ4iQkICAiEIAit40xjj43UCD0xesVRU1HReiXd1n4X9LouKycNjg8OM86M0TA9N5p3t9Sxu76HRKOKm2dm02EJpPsOdeQpZWJm5EfTY3dx65wc3ttSx5j0CD7aVs95o5J4YU3/rD6tQsqQxDD++uV+6rvt+P1Q2W7lsgmp5MTo2FXXzUlD4nG6vShkEtaXt+Px+nl9QzXXTM7gkx31/P2UQl5aU8W6io7gdU8dmsCbG2rIi9Ozq76Xp1eUc83kgbVKiUYVdV020iI1vLGhJrju8vpYVtzKKUPj2V3fE1z/Yncj2bG5wZ9Hp4Ujl4p5cnn/PLy75+Vx2fg0xD8Q4TI73BQ3mWgxOUgyqsiL1+NwBUxfb5mVjd3lJTFczdi0cHx+Pw9/W8pH2wNmrXqVlLcuHc2QI1KVcWEqnjlnCCUtZhxuL1nRup/speXx+picFYVSKkEqEdHS6+CL3Y3MLYqjst2MRi4l9igC+3BkUjFXT8nA5vLwzb5mYnRK/n5qIbmxv6yr+orSVu76fD8A1cDFb2zlk6vHMSzlxzUVCAgICPxZEITWcebuLw4gVqhJi9Rw2+wcEgzNNPY6AMiI1BCmCtQzySViLpuQhtfn55V1VSikEsLUMr7c08hJg+O5c04OPXY3O2q7eWxJKQaVjEUzszl/TAptJgd2t5dnVpQTqZVz7ZRMLp+YRk60jtFpRmq7bNx3Yh5Ojx+ZRExGlIYOi5MJmVHE6BUUN5v47kArb2+q47ShCcwpjOOBb4qDr+GOObl0WR043D6eWVnBO5eNRiYRMasghlOGJtDca8ft9VPeZqa42cTNM7N5bGmgJmx1WTsXjEnhnc21QEAQLhiXypPLDnL9tMwB71enxcnlE1K57r3dwbWhyWHkxurIiNJQ2W5lTHoET68oDznvn9+VMSMvhrT/InKcbi+vra/mX9/3n/fAyQXE6OS0mF2IgHe21NFrd/PEmYOI1imDIgvAZPfwxHdlvHTR8AH+YJE6JRN1R3eTPxbWV3Rw6Zvbgo7zQ5PDePfy0Tz2XSlrD3YQqZXz91MKmZ4X84ORorRIDf88azC3zA54mUXpFD97bz+Ew+3lrU21IWs+P+xp6BGEloCAgMARCELrF6K6w8qW6i6umZqBzxeI3qRHBlJ9C6dm4vf7WbyvGafbx1NnDeFfK8pp6rFz5vAkTiiMxez0sLK0nbgwJbMKYonUyllV1saYtAgeWVIKwMhUI8NTjNzzxX5sbi8PnlzA13ua6bS6mFcUy4trqnB6fETrFFw5KZ2Pd9Tj9vo5c0Qiw5IMTM+PpaHHwWNLS0P2/uTyflEUqZVT0W7mr18cCD5+9eR0dEopyw60opZLQuqbdtX34PP7+cusbHRKKe1mFy+tqQyai0rEohD3+PNHp7B4b3Mw3RitV3Dh2BTiw1S8fNEIVpa2oTiKyHB6fDjcA8dYHKKywzJAnD38bQkLxqby0toq1HIJN8/M5u+LS1iyv4W5RQMdyQ80m7A4PEc1Yv259NpdPPJtSchYHxEiXl1XzdqDgahhh8XFte/u5KvrJlCYMNBz7HAUUsmPcrk/HkjFIhIMKvYe1nkKgTSqgICAgEAogtD6BanvtrGvoYf8eANvb67FqJHxyKlFrCtvD96k5hbGIhJBUYKBv87P49FvS+i1uzhtWAK9Djcfft9fe3P6sAQidXIWzcjC6fGRG6vj6RXlWF1eEsJU7G80saW6i0UzsvjXivJg8Xyb2clH2+uZXRDLN3ub+WxnI/86ZwhPLC1l4bSsAW70Lq8Pb9/JJw+O57ElZSGPv7S2ii8XjmdeUXxgxmJPqFXEnoZedEopXj9squyvU5NLRTx11mDe3FhDh8XFgrEpFCboidYrOHd0Cma7ix67B5fbj8vjJSNKS0aUltZeBy+vqwrWsQFMzIokyfjf02pmu2dA84DD7QsW09tcXlaXtTMixcjQpLCj1mPNK4obMHD6eOF0+4INA4cYnmLkzcM81yAQKarptP5PofX/iVQi5vJJ6awsawt+dpLD1Qz7kV5kAgICAn8mBKH1C5Ifp6e4yUSP3cXtc3Jo7HFwsNXCXXNz6bW5USukOFxeWs0ORqaG88i3pZS2WHD7AH9g5t8hUaWQivlydxPT82KobLfy1Z4mRCK4aUY272yuJSdWF6xz8sMAkXGw1cKMvBgg4Iru9/k5f2xqsA7scBETq1eSEq7mrBGJFCQYsDhDb/5+P9R22hiUaCApXE2YSsb10zJ5dlUFfn/g/MsmpLOqrI0tVZ34/PDEmYPp6Ss2P29UMl6/H7fXx1kvbQZAIQ0Uxj+6pBS318+/zx3CiYMTgEAB+8sXDGNfo4lmk6Pvph72g3YKyeFqYvVKWkyO4FpenC7EP6yh28aU7CjmFMaRaFTxr7OHcP/XB+ixu5ldEMulE9J+sUHRUToFF41NDYm6NffYyI3Vsa/RFHqs9pdNBf4UhqcY+ezacZQ2m1HKxBQmGP7fImq/R7y+wOf9p3anCggI/H4RhNZxRiETI5aKOWN4Iia7m1FpRkDEo0tLg+InSqvg/pPyWbyniSHJYUTrlPj8/qAoMKhkyKRiZuTFBCNTYhHce2IBXp+fydmRiEUiUiPVuD0+7jwhl4+31zGnIIZThiQQrpUhFhGSlsqJ0VHbGRAZk7IiEYsCswPbzU5umZ3D13ua2NvQy+AEAycOiefOz/dx+rBEylvMFMTrOXCYi3yERs6uum4e/66Uf587lB6bhy6ri2fOGUppixmT3c217+7ghMJYnjxrMFKxmM93NbKiNNANKRLBbbNzcHt9SMUiPD4/To+Pj7c3MD0vhqX7W7j3ywMMSgwjzqBic3UHu2p7+PfKCjx93lsvnD+c1Mijd9bZXV4kEhGvLBjB49+VsqOmmwlZkQxJCuOfy/oL6k8dmsC5o5KI1gciY6cMTWB0Wjh2t5c4gxKXx8fO2m4kYhHph81jPB409zqYkR9NcriKp5aXkxyhZsG4VBCJuPj1rVhdgbToZRNSyYv7ZQvbfyoF8QYK4n87kbaaDivf7mtmfUUHM/NjmJkfQ6JR/Wtvi70NPby1qZbSFhPnjkxmZkEM0cehxk9AQOD3gSC0jjP/OL2ICGMYXp8fsVjE25tq6bC4QiJM7RYnHVYXYrGIwUlGbvxgJ3fMyeXsEUlEaBWsL2+nx+bilXVVwfN8fvjH0lIuGJOCXCKi3ezki92N6FVSLhydwomDEzCo5Hy5u5HKdgvXT8vipbWVONw+4gxKrpmawbubalkwLhWJCCRicTCK9eiSUqbmRHHtlAySw9Xc/cV+vD4/H22v54oJ6Vw8LpVv9zWzsbKT/Dg98wfH8cSyg9hcXr7Z28zqsnbK2yyIRSJ21Xezvy8is+ZgB0OSjKjkkqDIgkBE7K1NtYFh0xo5arkEh9tLbaeNcRkBo85um5uGbjvdVhfbqrt5YXVlcLSQw+3jLx/v4ZvrJwwYfbO7rpt/LjtISbOJ2QUx3DQ9izCVnGi9go2VnSSEKemyulkwLoWzRvaLrEPE9V2vttPK7Z/sZXN1wGLihMJY/jo//2eP2nF5fCw70MJfv9xPt83NpOxIXrloBKmRmuAoom+un0BNp40wtYysGB3ao1hACITSbXXxl492s6NvisHGyk521Hbz+BmDj2mW5fGmst3CBa9uweQIeI3d3bifbpuL66YNnGsqICDwx0T4C36cufWTfSTHRDA+M4Jv97Vwz7x8XlpbOeC4TouT+YPiKW7qZdHMHJp7neTH6bn/m2K6rC5mF8Ti9obm/2wuL1KxCIlYzIbKDsSiwHieJ5cdDEZAJmdHkRur55MdDVw8LpWMKC1ROjkfbq1HKhWzeG8THRYXdpeX0WnhbKnuwuvz831JG2sOtnPNlIxgsbpYJMLr99PU60AuEXHfifl8V9zKQ4v7i7iLm0wMTzVS3mbh7c21nD4sgTOHJ2F2eHB5fayraB9gkQDQbnYSrVNwxcQ09jeaUMklDE8x8nGfH9SEzEj2NPSQFqHB6/MHRdYhuqwuuqwu3F4f3TY38QYlNpeXi17fGrypvbe1nlazk8GJBi4Zl8asglhGpBpxenzE6pU/OFdw2YHWoMgCWLK/hVn5MZw6LPF/fAJ+mNIWE9d/sCsooNce7MCoruQfZwwKHpMWpSXtF/bB+qNR1WENiqxDfLO3mYVTM8mL0x/9pP8HylrMwc/jIV5eV8UZIxKJ1f880S4gIPD7QHAXPM48dfZgbp2TQ4RWgV4l4+4v9nFCYWzIMUqZmJFpRvY39XL7p/u45p2dPPxtSWBwdF9xsUYhJeKIQuxEo4pOqysoOsZnRvLtvpagyAJYc7CdrBgtjT12XlxTRWW7hXc21TG7MJaqdgsdFhdSsQitUsbJQ+IZmRooYI7RK7hnXj4fbeu3OFgwLpWCeD0GlYzlJW20WVysLmsPSUlOzI6i7bA6qE93NtLUY6e510anxUlBfKCOS3VEbcr8QXEY1TIe/raUr/Y08eG2ev725QGm5kYztyiWoclh+Hx+VDIJPr8f9RFRiaRwFbvru3l/az2nPLeBk5/bwL7GXpQyCSkRgecriNezs64bh9tHRZ8Za7hGQZxB9T+HN68v7xiwtru+h/2NPVS1W/AdIfx+LDUd1gH1c0v3t9Bpcf2k6wkEOFopnVh09CHl/58ojzKzUqeQIRMLf3oFBP4sCBGt48ydn+7D4pcjFYtYOC2T1h47O+u6uWVWNhsrO4nSKZicHYXV4eWxpWXB6JHV5eWxpaWcPCSed7fU0Wl18uAphTy57CAV7RZyY3WcMTyRx78r48pJ6ShlYhLCVCwvbh2wh0NiTSkTo5ZL6bW7qe+0snBqJkqZmHazi3azgzaTkysmpjMytYdum4vmXjunDI3HZHczNNmIx+snXCPH6fHh88Ouum4uHZ/K+1vr8fr8nDUykbQIDV/uCsxMlIpFXDU5gxEpRiwONzqVjJoOKw1ddu6el8uXu5uobLdy8uB4zh+dzOqD7Vw2IY3vDrTQ0G3H7vbi9vjptLgQY2HRzGw0ChmVbRYePLmAR5eW0W52khKh5qKxKTz4TQmz8mPIi9PR1ONAIhYxLTeajCgNIGJDZQcTMiMZkWLE6vRgd3l/dBppam4Ua8rbQ9YitHJOfX4jYpGI+08qYEpOFFUdVvBDZoz2R9XdRB3lmIJ4Pfqf4HIv0E9GlJY5BbEsPdASXFswNpWUiF+3RisvXj+gxvHOublE/AYbHAQEBH4ZRH7/kd+vBX4KJpMJg8FA0k0fIVYE/riLRHDPvDxcHj8F8To2V3WwqaqL1l4nt5+Qy40f7A6ePyjRQJJRzRnDEjjQbCJSq6C110GbxcngJANmu5vHlpbhBy4am0JerJ7VB9tRSMV8ethwaJEIHjq5kK013eTG6XhpTSXXTcskI1JDcYuZlSWtXD8ti8e/K0OvkuFw+9hZ1x08XykTc8O0TF5YU4XZ4UElk/DgKQU0ddt5aW0VRo2cyyakkRmlZVVZKwVxBiQSMT12F0lGNe1mJ8+sKKepNyB8LhiTQmlzL6PTIpCKRZw2LBGtUsoXuxppMTmQScSkRWjYVd/D25trufOEXPQqGe9vqSNKr+CC0Sk8veIglW1WHjylkIOtZlpNDr7Z24zT40MuCRii6pRSXlxTSXqUhowoLV/u7p8hmBenIy9Oj8fn57bZOT+qQPpgi5mHl5SwuqwdkQhOGhyP309wILVIBH+dlx80es2P0/PseUP/5+ibXruLp78v5/U+h3y9Usobl4xiuGD0+bNp6rGzpaqLA829DEs2MjLVeFRh+/9NfZeVHbU9tJkdDEoIY0hymNB9KCDwG+LQ/bu3txe9/viXGghfo39B/H7otLh4fnUlt8/JodPi5uJxadR3WpFJRBhUUkakhDMlJwqL04tGLmFjVSevrAvYKSikYv4yK4cHvi7h1tk5XD4xHb8fvi9p5Y0NNZw8JIGTBsdjc3n57kALkVoFF49LJcGoQtNkYn15B7fPySU5QsXWqi7So7WcMSyRhm474zIjqW43D4jwONw+LE4vIgLdiRanh/e21JEcruaqyekUJYTh8XppMTkYmxHJ2oPtvLuljiFJYQxO0FPZacUPyCQixCIR7WYH549J5YnvSjl7ZDIN3Xa6bE68fj8fbqun2+ZGKhZx44wshieHkRGl4fK3dgQ20whrD7Zz4/RsdteXUdNp5fnVofVucWFKemwuRKJADdukrCheWRcwJLX1pVRLms3MyIvh3ysrGJIYxqUT0v7n787t8+Hy+Lh+WiYZUVr+s7GGXYeNCfL7oeOwwc3FzSZWlLT9T6FlUMm5eVYOJw4ORA5TIzWCLcJxIj5MxanDEjiVgC2Iw+3hQFMvdpeXtEjNrxZFSgrXkBQu/I4FBP6sCELrF0QqFiGVBGpElhe3oZSJKWsxE6GV43B7uWVWDm6vn1WlbYjFIooSDEGRBQH389fXVzN/UBwmh5uX11aFFIVH6xSsKmunodvOVZMy6LG7eHFNJReMSWFnfTfnj0rmni/2E2tQcuKgOLQKKd1WFx0WF2q5hCk5McQbVVS3W6jqCFg/xOgVxBuUXDI+jZWlbRhUMqbnRRMfpmRjZRdNPXYKE/S8t7Wc80Yns6mqi9vn5LKuvINwnYLUKC3R2l5SIjSkRqp5ZkUFGyv3c0JhLOmRGh5dWsq8ojg+2FZHt80NgMfn58nlB3ljwUhePKJxwO31Y3N5kIhFlLaYmZgVybq++imJWMQFo1N4dlU5545KBgJjjq6ZkoHJ7iFCK2ddeQdbQ4ramxmcqKe8zUpyhDownPooXX2RWgWV7RY2VnYyuyB2gKkrgOKIqMSew4TYD6FVSBn6Jzf3LG81U9FmwaCSkRunI1xzfEVQt9XFs6sqeH1DNX4/ZMdoefa8YWTH/DatMgQEBP64CELrOJNoVNFkA51CylWTM/hwex0QSBENSQ5jeXErDd12zh+dzPOrA2m9ggQD/15ZEbwJZEVrmT84MORZLhWTF6vj3ysreOKswby2vppOi4vZBTH4/H7i9Ar2Nfayr7F/HIpSJqGu00ZjjwOPz09Dt528OD1mu4ePdzQE7RemZEdx0pB4bp2TS32nDalETFa0lu113SFGmluqO7njhFz+s7EGgDkFsczMj8brg4VTMlj00R7Gpkewr8HEssNqxuYUxhKmllHeZuH9rfWEqeVYHB6idAoq260h75vfD2anmxl5MeTF6VmyryXoKyYRi/D5/Szd38KJg2J57PQi6rrsGFRSwtRSXjx/OB6/nzazkw+217Otpj8Ves3kDDRySdBDbHBiGFe/u4v2Plf2+07MZ8G41AHF8TF6Jf86ewjXvLuTFSWtPHJaEf9cVkaryYlcImbRzKxgGvEQ0/Ojj/HT8udka3UnF762NShe5xXFcf9JBUQexxmNext6eG19/5eWg60W3txQwwMnF/xiJrQCAgICR0MQWseZESlGJhWmUNNhDRiCWpzIJCLGZ0Vidrg50GTipMHxfLO3GbEoEJWy96W4xGIR8QYl8wfH89TyfmPNM4cncs2UDJbsayJcIyc9UsvXe5q5ZHwqJoeHGXnRrCxtI1wj55JxaTT32nnirMGUtZhZOCWj78bi52CbJSiyAFYfbGdcZgS76npwuD2sKuvg/FHJ7G7oCXlNbm+gQP3QnMIIrZyt1d3srOsORmZGpBr598qKkPOW7m/h+mmZQeHz+c5GrpmSgVouGVAgLBYF3LP/9X05IuDsUUlUtlkpbTYFne5lEhGZMTqeX13JkKQwsqOjKW8zY3Z4yYrWMj4jgr8cVq8G8M7mWv52Uj63fLyXwng9cqk4KLIAHltaxtTcaFIiNLi9PvbU97Ctpou0CA2ZMVoWXz+Bph4HTo+HmfmxwaL15h47I1LDqWoPdBFeNiGNCRmRP+kz82fC4nDz6JLSkAjh4n3NnD0yiUm6qOP2PI099gFr6ys6sDg9hKl/mbFKAgICAkfjNy20HnnkET777DNKS0tRqVSMGzeOxx57jJycnOAxDoeDv/zlL3zwwQc4nU5mz57N888/T0xMTPCYuro6rrnmGlatWoVWq2XBggU88sgjSKX9L3/16tXcfPPNHDhwgKSkJO655x4uvvjiY95zjF5JXZeVnFgtF45LQSISkRCmxO31kWBQkhmlwe/3c/mEVAwqOV02J91WF4+cVsQLqyu598R8bv90X8g1P97RQHyYiul5sdR322jqcXDJ+FS+3d/M/kYTk7MjeersIdR32RibEc73JW3c8P5u5hbF0WFxsL6ik5GpxqNaGtR12ei1uzl7ZBJbq7up7LCEDIk+xKGoUphahlIm4d0tdUTrFEHbhh/TUZFoVOH2+Khqt3D33Dzu/mIf1R02tAopd5yQy7++LycjSsOUnGg8Pj8XjEmmut1CQbyBUalGYg0B3yExImINSm78cHfw2qkRau6Znz/gOe1uLwqphBfOH0a0TsEZL20a8LjTHbjpb67q5L6vDnDWiCRe6BuEfen4NE4oimV9eQfvbK4NObcgXsdn14xDLhWTFqk5aqTE6vTg9fnRCwOXAbA6vQOimRDwRTueJIcPbHiYnht9XN39BQQEBH4Mv2mhtWbNGhYuXMjIkSPxeDzcddddzJo1i+LiYjSaQHHpokWLWLx4MR9//DEGg4HrrruO0047jQ0bNgDg9XqZN28esbGxbNy4kebmZi666CJkMhkPP/wwANXV1cybN4+rr76ad999lxUrVnD55ZcTFxfH7Nmzj2nPL62tQqxQo1NIuXpKBumRatYcbGdsegTNvQ5m5scwNMXIA18X09BtJ0qr4MrJ6by8poo7T8jF54deu3vAdd1eHw3ddsakR9DcbWd/swmP18+cwlgGJxq4/dO9ONw+Hj61MFgwnhap5ovdgQhPeZuF04YmhNQrAWTH6BiTGo7V7eXh04q45eM93DYnl2013UHriRi9Ao/Xj98PebF6dvV1KbaZnaRGaFDJJJS1mBmZagxJ243LiAhG0BRSMZdOSOXfKyooaTGTEaXhjjl5lLeZyYvTs7y4laRwNbEGJc+sDIwdijMoeeDkArbVdtNtdXHTzCx0ChmiwliueXdnyOuo6bTRbXURrVOEDGs+fVgiiUYl+XEGuq1O7piTi9npQSIS0dQbcJ5PDFfhdHt5YXUlpw9LDBmXdMdn+9AqpaSGaxCJ+mdIDkkK4+Qh8dz6yR58frhuWiZTc6KRiAN7EQN13XaeWVGOzeXl2ikZzMiLRq/6c0dTInUKThuawBt9aWgIiPiM6NBi8U6LE6fHR4xe+ZO8sIoSDdw8M5tnVpTj8fkZkWLkgjEp/2++Ws29diQiEdH6X7/rUUBA4Nfld2Xv0N7eTnR0NGvWrGHSpEn09vYSFRXFe++9xxlnnAFAaWkpeXl5bNq0iTFjxrBkyRLmz59PU1NTMMr14osvcvvtt9Pe3o5cLuf2229n8eLF7N+/P/hc55xzDj09PSxduvRH7e1o9g7nj04mIUxJjF7J4n0tbKnq5G8n5vOv7wP2B4fQKqR9x6qIMyh5bUM1m6v6BZFBJeOsEUloFBK+2tPEtNxoJKJAvdHTKyooazUDgbqwc0Ym8Upfbcr10zLZXtONz+9ne203549OprbTxpqD7YhFcM7IJEalhXPnZ/uJ0StIClcxuyAWl8dHglFNVbsFtVxCZpSWteXtrK/oZEx6OF4fvNl3o1wwNoVEo4pWs5PcWD31XVa2VnczLiOCvDgdpS1morQKtEopL6+torTFjM/vx+31o1dJOWtEEiuKW7lycgZmh4eHvy0JeV+n5URx5aR0ajptZEZrKW0x4/X6eHFtFc2HvYcAf5ufj83tpa7Tyv4mE6cMSWBmfgxROgUtJjvNvU4ufWMbLm8ggjU0KYyHTy0kL96AzeXh0je2kh2r561NoZGr0enhPH32YNaVd/LQtyX02t3cd2IBf/vqQMhxL184nOUHWvhkVyO3zc7hsaVlIY8/f/4w5hbFHfXzU9tppanHToRWQfp/iY4dK36/n06rC41c+quOoTmSuk4bL66p5OMd9cQZlNx3UiGTsiKRSsS4PF5WlbXzwNfFdFicXDgmhUvGp5FgPHYXdbfXR02HFYfbR3KEGsPPiCp2Wpy4vX5i9IofNLvtMDv5cHs9L6yuDAxKn53DvEHxaAWfNAGB3yyCvcNh9PYGCr7Dw8MB2LFjB263mxkzZgSPyc3NJTk5OSi0Nm3aRFFRUUgqcfbs2VxzzTUcOHCAoUOHsmnTppBrHDrmpptu+q97cTqdOJ39kROTyTTgGKvTg1Etp8fmZs3Bdu6am0tzryNEZAFYnIGuOpPDTVOvjXmD4onSKlhZ2kZ2jI75g+NYUdxGSqSaqnYrZw1XsPRACyNTI5hbFMuFY1KI0SswOz3olVJeWV9NYYKepHAVjd02ihLDOHdUMqXNJqZmR3HeqCQ6rS60SinPrazkxulZ7G/qRS2XIhWLWV3ZxvclAY+ui8enUtFqYVR6OGmRWhxuD4lGNevKO6hst6BRSHno21JUMglxBiUz86I5ZWg8ERoZr66vZlpuNBqlBLlExIz8GMakRyARi5BJxLyyroqCOD0+n58vdzUyIjWchVMzeH9rfTCVtKu+h2/2NfP5zkaunZrJtuouarqsnDcqmScOq2NTyyWEa+Xc/8FuxqaH8+DJBexvMlHSbOKuz2uQisVYnJ6gyAKI0ikobTGzpryDjCgNV0/OCBm7c4g4vZJ7Pt/PzvpeTh6SQEakhrIWM0UJBrptruDMyK/3NFHaYsaollPf1V8jlGhUcdqwBOo6rRxo7CUzWhvSsbipsoOr3t6ByeFBKhbx4CmFnD4sAbn0p4ujui4b72+t49MdDWRGa/nLrJzfjFdXcoSa+08u4NqpGahkkhDbhQNNJq5+Z0cwcvjq+mp0Sik3zsg+5ueRScRk/cwuQ6fby8qyNh5aXEKPzc1lE9I4d1RSMI19JGsOtvP4dwGBbXHC7Z/tI9agZHKO0CghIPBn5XcjtHw+HzfddBPjx4+nsLAQgJaWFuRyOWFhYSHHxsTE0NLSEjzmcJF16PFDj/3QMSaTCbvdjko18I/qI488wv333/+De86O0fHy2ipunpXNjLxoPtvZyMjUcIxqWdDaAEAuEaOUSRicZOCtjbVsq+nh9GEJnDQkgU6LE5/fT0qEmve31nPVpHTMTg8ahYTyNjMpEWq+2N3E6rJ29Cop10/N4u3LRlLabMbm8hKpVfD3xSV4fX6yorXcd1IBmys7EIvFON0+ThuWwCNLSoN7+XpPE4+cVsj3Je04PT5eWlPFjdOzuP793Txx5mCcbhG1XTYuGZ9KtE6BVCyiIF5PRpSW1Eg1yUY1ZqcHs8PDGcMS+Xx3I7F6JdNyo3l2ZUWwCNqgknHPvDw+29UYtGvYXN3F6LRwbpiWid3t5fX1NQxNDmN3fQ9Wl5fHvytj0cxs1pYHxgzdPTePr/Y0kRCm4qQh8TzwdcA8tKrDygfbGqjttKKQidlY2cXpwxIob7MEX2dRggGdUsqij/YE1y4ck8y8olg+29kYTD8qZWJOKIrjqrcD3l7/2VjDCYWxjM2IoKHHTk6sjrRIDc+tqsCokWNyuHG4vWj6LCMitXLOHZXMU8sP4vH5eey7Mh48uZCzRyYhkwQK82/9ZG9wHp7H5+fuz/cxONFAfrzhBz9f/w2318fLayp5Z0ug47XN7GT3a1v4+roJZET/MjMUfT4/Lq/vRxtxyiTioxrHlrdZBowo+nhHAxeOTSVc8/+fdt3b0Ms17/SnqZ9eUY5OKeXyielHPf6THfUD1jZXdQpCS0DgT8zvps954cKF7N+/nw8++ODX3goAd955J729vcH/1dcH/sAWxOkoiNdzx5wclhe3Ut1pY0t1F8NTjBQ3m/hidyMLp2YGi8jlEjF3z8sjOULFrroelpe0saO2m7s+309xUy//2VRDfZed3Q09PHpaIeEaOUv2NbOhopPPdzWyobKT1WWBUTEmu4eHvi2hqt1GaoQGu8vLy+uqg7VW5W0W3t1cS1qkhiX7m0kMV7P6YOiYGbvbS1W7FaWs/6Ph7osCfbOnCblUwhPLDnLPF/u58u0dbKrq5IoJ6SRHqEkyqtld38MLqyuo77ZjcXm4alI61Z1Wlhe3hnSa9drddFpd7DpiEPCW6i46rS6eWl7ODdMzKUwwhHRKtvTa+cfpRbg8Puq6LPztxDykYrj23Z1BO4jThyWyvLiFYcnGoIjbUNHJ9Lx+MT05J4rPdx3Robiljt0NJq6anM4ts3K4blomt8zKwe7qHwpsUMlIj9Jy75cHWHOwnU92NPDy2iqumJTG+IwIWk1ObC4vSpmYaJ2Ck4ck8NKayqD/md8P9311gKq+gvDDI2KH8PkDJqt2d+gw4h9Lq8nBh9tDb/g2l5eKw4Tm8aSk2cS9X+3n9Bc28sraKpp6bD/5Wkb1wPReZrQWtfzX+VNV2mIesPbBtnqsztA6ytpOKytLWjllaAJzi0JnmyYLhrQCAn9qfhcRreuuu45vvvmGtWvXkpiYGFyPjY3F5XLR09MTEtVqbW0lNjY2eMzWrVtDrtfa2hp87ND/H1o7/Bi9Xn/UaBaAQqFAoRjo+3P99Cw63RL2N/QyIz8GsVjEu1vq+OiqMYxOC2dzVRc+v5975ueikEhwef20mOzYXB7SI7VcOyUDhVTM8uIW1h5s56FTC+myuLC7PdzzxQEkYhFnjkgiI1pLtFbBksNmuwX3bnKgU0oxOwbeqLfVdjMtL4brp2XS1ms/qtKWScTolVIcbhcqmYTcWB03zcgiyajiuVWVQcd1gHe31PHcecNQySTYXB5SItRcOiGdl9ZU0m1zkx+n4665ebyyrmrA89icAZ8wnKHrIhG4vD4q2y0hvlwAeqWMv35ZTJxBwc2zcnhtfTWTsqOINaio7rAyNiOCdeUddNvcNHTbyIzSUt5mocXkwO31cf7oZJbsb0GnkHLkXGi/P5DGffYIm4rXFowI/ve03Gi+3B0q0HrtbpKNGvLi9IxOC2dLdRcvraninnl5xIUpQ/ycIBC16rI6AR1ROgXZMVoOtvaLIJlERE2nlT31vYxJjzjKb+iHUckkRGoVA2rYtMrjX6fV0G3j4je20moK/BIPNJmo77bx1/n5yH5CndmgBAMTMyNZVxEQyGq5hBumZaGU/Tp/qsI1A4VfdowWuaT/vdzX0MtFr28JRqnHpIdz+rAEPt3ZSHaMlrE/4XcoICDwx+E3HdHy+/1cd911fP7556xcuZK0tNDRKcOHD0cmk7FixYrgWllZGXV1dYwdOxaAsWPHsm/fPtra2oLHLF++HL1eT35+fvCYw69x6JhD1zgWHvi6mL9+cYAPtzfw+HdlTMqKJFKjYEVxG6cNSyAnRkuYSs6KknZu+WQvd32+jw+21qORS/l6bxPPr67kqe/LmVsUz4mD47E5vdjcAWHz8KmFXDEpnZoOKxOzIilM0JMXN7AGRS2XYLK7j5rGGZYcxruba2judfL+tjpmFYR++1bJJEglIi6bkE5yuIpbZmdz/9fF/Ov7crQKaWCI8mFcMyWDmz7czePflfG3r4pxeHz887uy4E2nuNnM49+VcfKQhJDzxKLAfMeJmaHeUzPzY9hWHehcdHp8xB9WC5Mdo8Xr9weibh02NlV2IhaL2FXXS6xBSYfFhcUZqIfLjtFS0WblqknpqPsKwT/cVk+8QcmXC8cxPS+akUfULA1JMlDXGfr6FFIxYSoZry0YQXK4OuD2f5TONaVcTHKEhpcvHM6nV4/l+fOHMSQ5DJfHN2CwsV4lDabNjGo5j542iKTwwOs0qGQsmpHNpzsaKDtKNOXHEKFVcP9JBRxesz0zL4bcuONf5FnRZgmKrEO8t6WOpu6BPlY/hhiDiqfOHszbl47ixQuG8dV1Exj2K9aWDUkyMiw5LPizViHlykkZyKSBP51uj4+X1laGlAJsrupiXEYkb1w8kv9cMorUSCGiJSDwZ+Y3HdFauHAh7733Hl9++SU6nS5YU2UwGFCpVBgMBi677DJuvvlmwsPD0ev1XH/99YwdO5YxY8YAMGvWLPLz87nwwgv5xz/+QUtLC/fccw8LFy4MRqSuvvpqnn32WW677TYuvfRSVq5cyUcffcTixYuPec9NvY5g1yEE6kvunp/HY0tKyY/Tc93UTGxuLytL+4Vfm9nJhsoOog9zxv7X9+VcPjGNx78r4y+zssmL07Onvpcv9zSRF6dDp5QiBi4Zl0Zlm4WWvpvdCYWxxIUpwS/iuwOtXDQ2hfe21OHx+cmN1VKUEMY/D5Sxq76XW2fn8P6WOv519mBWlLShkktJi1Tz0toqJmRE8NCpRaw92IHT4+XaKem4fb5gxAYC9UetvY6gHYVYFCge9hwRKtrT0Eu31c0ts3JYWdqKSiZhblEsNpeH04YlMCwljMp2KwaVDKNahsnhYViKkYI4HVnRWq6ekkG3xUVFu4WXD4uMVXdYsbu8TMzWkmRUUdzcS2GCnifOHMyy4haUMgkSiYjrp2dicXgxqKSMSYtAJBJx6ZvbmT8ojvRoLXsbehibHsF5o5JZVdbGV3uag89x9eQMytvMvLmxhvtPKqAwXs/m6i6uf39X8JgYvQIxImraLTSbHFz9zk4itXKGpRj5ancTt87O4ePtDZS1BmrqHjm1iKTDfJ6KEg1cMj6NDrMTh9sbcP+3uoj6GU7pU3Ki+eyacVS1WzBqFBQm6Ik4zmNuICBEj0QlkwSFyE8hUqdk4m9gGDRAglHFC+cPp7jZhN3tJSdGF1LnZnN72H/YVIZDOD1epub212V5+iK0zb0OYvRKMqO1PyniJyAg8PvjNy20XnjhBQCmTJkSsv7GG28EzUSfeuopxGIxp59+eohh6SEkEgnffPMN11xzDWPHjkWj0bBgwQIeeOCB4DFpaWksXryYRYsW8fTTT5OYmMirr756zB5aR8Pl8VHe5zF13uhknl1ZyYTMgQ7iJc1mFIf94XV5A5GQKyalIxbBP5cdZMHYVCxOD3sbepmR56TV5KS0xcTVkzOIMSix9XUv6hUydtZ3MyQpjJ11Xdw0I4tEowqzw8N9fQXjELCDmJkfQ02HjRiDkvgwFcsOtNBjc1PVYaOhy0Zjj42bZmRjtrtZX97JVZMycLi97GnoJdGowunxIRLBxeNS0fX5TR1JaoSacI2M3fVWVDIJk7IjARGf72rE7fUxLTcGEX5Gphp5ekUFO2oDES2ZRMTz5w9Dp5BwoNFOu8XJrbNygkatk7KiWFnWSo/Nzei0CBbfMJGaDitXHda19s3eZp46azAfVzSwrryD80cnMzLVSFFCoNA8WhewU+gwO2m3ODGo5Dx51mAcLi8dVhdL97dQ2W7h6skZLHxvJ9/eMJFpudG8dekovjsQEHNquYSnVxzksvFpfLSjgV67m7NGJPHWphqcHh+PLilldkEs0/OiyYzWDvBJk0nEjEwJ5/zXNmOyB9K9o1KNDEkK+8mfO7lUzNBk4y8+UzE7RheS6gO4bU4O8WHHbsfwWyXGoCTGcHThZ1DJOXVoAk99Xx6ynnHYcHG/38+S/c0s+nAPHp8fiVjE42cM4pQhCYj/n3y9BH4aNR1WttV20WZyMizZyJBkA6pfKY0t8Pvld+Wj9VvmkA9H0Z2fYfL1d0fdNCOL4clhONw+NlV1saO2i/NGJw9wfz9/dDJrDrYHC6Nj9Apm5sfyzuZaZuRFMzjRQGK4mso2K1qllNfWVdNu6U/ZXDI+laX7W1g4JZP0SDVWl5cOixOlXIJeKaW5x849XxaHPOdLFw7jwW9KQoqxr5uWyTuba7lwTAr/2VQTvPHPyo/hzOGJPPBNMcNTjEzLi6bT4kQulaCQiHltQzUlzWYKE/SMTovgjQ3V+PyBVMtNM7L457IykoxqJmRGMizFyA0f7ArpLrtjTi5Oj3fADWtwooG0SA1f7O6fK3jb7Bxaeu3Y3F68PjhlSByj0iJp7XXw7KoKPtnZEHKNM0ckkhml5blVFeTF6bhiYgZPLC+jpNlMuEbO1ZMDYvaxpWX4/YEaqhMKYzE53Gyq7CRCq+CckUn8e2UF71w2mglZkdR2Wrnwta302lxcMiGN6g4re+p7GJJkJDlCRYfZxfLi1pDfEcCN07MwOdz87cSCAZ+h6nYLB9ssqGQS8uL0ROkU+P1+9jT0sKK4DafXy8y8WIYmh/2gz1ZVu4Xy1oAHWm7fdX5Jmnps7KrroaHbTkG8niFJxj+Vb1RDt43nV1fy4bZ69Eop98zPZ15RbLCurKbDytxn1oXUNiplYhbfMDFEkAn8tmjstrHg9W1UtPfXT/6QF57A7xfBR+t3xoVjU7H4ZFR32pieG01dl5VWk5NX11cHO5gk4gZumpHFq+uqsbo8TMmOZmJWJHsa+m9Wpw1LCPrxfF/SxsSsKBZ9uAexCO6elzfgBv7J9gaePW8oFqeHGz7cTYfFRZRWwcKpGby0poqLxqbw8oXDqO6wYXZ4yI7RYnZ6BnS8fbStnr/Oy2dteXtQZAEsK27lvNFJNPTYuWpyOo3ddtrNTqQSMUa1jDmFsZQ0m9nfaMLr8/PQqYWYHR66rC6eXVWBw+2jvM3C5RPT2FbTNaCFf0ddN/OO6NYCaOpxkHdEbdE3e5u4fmomJa1mnllRwcSsSK5/fyeV7VYK4wf+I5GKRSw90MLZI5IYmRbOkv1NlDQHfhddVhcvrq7kwVMKuXxCOiJRIB322vpq7p6Xx/iMSBp77ERo5Jw7MokoXb+IbjU5mFMYy9L9LcHfbU2njYJ4PQXxei4enxr8HUJANNZ32yj4L7VSaVFa0o648e5r7OXslzYHOzZfXVfN+1eMYfR/KbDeXd/Dha9uwewM/O7Gpofz5NlDiPsvvk/Hg/gwNfFhA60a/iwkGtXcf2IBV01KRyEVD/DY6ra6QkQWgMPto8vqIuP4jXcUOM4caDKFiCyAR5eUMjY9AuOvYDUi8PtFEFrHGZfHR223FZEf2kwOMqO0GFTSkDbxnXXdNPfa+dc5Q1BIxdR1Wtld301ahIZbZ+fw3pZ6Hv62NGjLAAR9nf7biB6ZVIzL6+PBb0qYmR+DUS2ny+rilXXVzCqI4a7P93PfifnB8TIiETx6WhFahRSLs19QeXx+kowqxCIReqU06O9kVMtwe/zcMy8PlUzC3vpePtoRiBwZVDIeOa2IRTOy2F3fy6qygEXFrrqeAXPt7G4vmqO4lIepZTg9PqRiUUiN10lD4vnuiM5Kl9dPXZed/Fg9i2Zk0WZ24nR7OWVoAgallKwYHStKWtnT0ItCKiY1QkN2tI7SVjP3f13MoEQDD55cwAPfFOP2+rl8Yjq3frI3eDPUyCXcNTeP0hYzb2yoCT7vtNyoYHQo0ajm6skZpESoSYvUMD0vBpVMwqc7GzjQZGJqbjRry9p48YJh7G80IZWIaDU5qO+yM6fgx4mSFpOd1WVtIbYYPn+gqP9oQsvl8fLCqoqgyALYVNXF3vreX1RoCQT+/aX8FxuHuDDlgNFQERo5CX+g9OofEfdh5saHsLk8uH0D1wUEfghBaB1neu0uBieGY1DLeWF1JRanhwXjUjl1aAKf72okWqfgxMHxqGQStAopO+u66LF5ABFnjUjE7PAwNCmMvDgd1R1WvtzdRIxegfWwm2e31U1apJrqjn6/ooVTMqhut3LFpDReXVdNc6+DeIOSyyamYe6LTO2s6yHRqKK+y47fHyi4P3N4YsjcuTOGJ7KzrpvGbhuXjE9jc1UnW2u6uHteHjd8sBt7Xwfk4EQDZ49M4sNt9fTa3ZS3mnlvax0ZUVouGJOCQSVlRl4Mle39xetiEbi9frJidCECTyEVMykrkoe/LeWfZw7ilXXVtJoczMqPpSjBwMdHeEKdNSIRm8vLbZ/uxeL0cPnENIYkG3nqMKf4G6dnBWqionSUt5npsbtJDlfj8flYsr+F/U29PHPOUJ76/iBNPfaQiIPVFbCdePuIUTwrS9spazEzNkOBRCzilCHx3PThHvY09BClU3DeqGQuGZdKj93F+IxIzh6RhN3tZWNlBwaVnFi9kmFJRqxOD1/vbaIgTk/6EREsu9vDztoedtZ2I5eKcbgH/lF3HeUGEDjXx8GjeGV12Y7vwObjjd3toazFTEuvg4QwFdkxuhDn/N87sQYVL1wwnFs/3k1Vh42UCDX/PHPwH6qO7Y9Ibqw+5MsmBJpjon8jjRoCvx8EoXWccXp8ROoU/PXL/jl4L66p5C8zsxmUaGB6Xgyvrq3C7PSwoqSV04Yl8Mq6KqRiETF6BY8uKcXtDUR0RqeFc8ecHJIj1Cz6sN/B/N0ttTx19hDazU7KWswkR6iRSUQYNXIe/KY42Gre1OvghdWV3Dk3F4AIrTwkGtZudjKrIAaH20tzr4MhyWHsa+zlzYMdXD4xjadXlPPASQXMGxTL5zsbgyILAp2Eh3dVub1+7C4vGys7mZAVSXWbBafXz6XjU/l2XwvhGhlXT8mk2+LimZXlXDkp4KwtFgUKqvEHhgtXtFmID1NRlGBgbXk7X+1pYuHUDJp7HNR32xmZaiRcLae2szv4B1AmkfBC3yDtQ7ywupKXLhzGjR/uDqZAZRIRt83J5aHFJdR32SnpayRYdVgH6CH8gPco5YuHvMk8Xh9lLWbKWk3IJCKumpTOP5aWBUVQWYuZB04pJClczeUTMihrNaGWSbj5oz209kU2hiYZWDQzh7ouG0a1jEGJARf8wzsaHzipAJlEFPxMiESBzlKA5h47DT12wtVy0iI1GFQyzhieGJKuBI5qAfJbwe318eHW+mCThkgEj51WxJkjkn5wpuDvjeEpRj6+ehydVhcRGnnI2CGB3yYZ0VrevXw0726p42CbmXNHJjNVcPgX+AkIQus4MzIlnIoj0mUQqHG6bXY2F72xLVifVNJiZllxKxMyI9ErpXy2szF4Q4WAS/q03Gg8Xj/5cXp21fcAMCkrCovDg04pZV15By07HCyamU2nzR3i5wPQYXFR32UnRqcgTC0PqbuaWxSHRAyrytqJ1Ml5flXlgGjJ9tpuzh2ZxMtdoaabQHCvErGICK2cEwfHY9TI0SqkpEVpeG9rPeeOSuLxMwbx4fY6fD4ff/s6IECfXH4QuUTMgnEpKGUiRIi4a24eext62FrdFSII39xYwxnDE2mrc/DE8oN4fX4eOLmAC0Yn886WOvx+/wBLCblUzO763pDX6/b62V7TTW5sYNi1CBEWp4f8eD1f720OOT9GJ2dGXgzLDzNMzYnREWdQYnd7WHewgx113Vw0NpXkcDXvbakLee8W72vh3FHJTMiKIjlCTXKEmlfXVQVFllImZnZBHAve2Br8PBTG6xmXEdqR+s3eRv5x+iBWlbXj9voYnBTG6xuqiTUoufrtnbRbnCikYv5+SiEnD0ng1KHx9NjcvLWphrw4HddOyWT5gVbWl3cwOTuKosSwAb/H/w+8Xh9isWiAeKput/L3xf2DxP1+uPerA4xMiyDtGP2nWk0OHG4vsQYlip8xJ/KXIkKr+M0ILL/fT4vJgVwi/s3s6bdIUWIYjyQY8Pj8gh2HwE9GEFrHmTC1DJ3TO2A9K0bLwVbzgCLwbTXdXDslg6wYLfd/HdoVmBmtJdagpKXXwW1zcqjttNLU66DT4iRar+BAkyk4duabPQG/JpVMEhJ50sglZERpOHNkIqkRakakGqntsDE5J4oIjRy5VML4jHA+290U3FuMXoHH5+ekwfEMTTbQbnYGLA0OS6WJRBCjUzAzL5pRaRH4/X7WlXdQ1xVIZ84uiGHRjGzWV7Tz+a4mKtosFMaHhbw+l9fH8uJWhiaFccMHu8iI0nLv/HxyY3X8Y2kZTb0OksJVXDkxnUeWlIak91p6HajkUrKitVidHpLCVSGDnNMj1dhcA53xbS4PKpmEU4YksK68g9OHJ/DN3mbumJPL8pJWRMCMvBjCVDJOHZpAcriavQ09ZMfoGJZsJD1Ky+rSdq55t3/+XWKYivmD4ihuDh0sfqTobTys8WBmXgwfba8P+TzsbzIxMz905uaQ5HBu/3QfcWFKpGIxS/YH6tU2VXYGGyKcHh+3f7qXgngD+fF67jghl0vGp1LVbuWi17cEHfCfW1XJx1ePpTDhp81Q/Cl021ysKWvn3S21pERouGBMMkOS+i0neu3uASLZ4fZhOkxod5id7KjrprjJRE6sjuEpRmL0/ekbp9vLsuJW7vvqADqllGunZGBQyXH7fHSYnSSFqxmcGEbkL9x9+XuhpdfO+1vreW19NQaVjLvn5TE9N/oPla49nohEImSSP050VeD/H0FoHWdcXh8ahTQYNYGA+JpXFHdUY8P8OB1pUWqcbi8z82L4uK/APDlczZzCWBZ9uBtfX1rtxulZfLitnlaTk8X7Wrh3fj4SsYicGB3jsyIQ+X3cd1I+f/3iAC6vD4VUzLVTM3ngmxLazU7EInj4tCJ21fUQqZWjlEp46QYGBwAAuZNJREFUZ3MdI9IimFMYx+76HhLCVKREqNle282u+m5qOixcOSmDUWnhSMQiPtneQIRWzoVjUkiLVBMXlsTGig66bZ6gyAL47kAr+XF6YvWqoDXD0WqLMqO1+PDz/PnD6bQ62FXfw/qKDi4en0qPzY1EDOsrOgZ0bcUZFHj9IoanGAnXyHnstEG8uKaSrTVdjEgxMjErCpVMglhEyKidU4cmIBOL6LK5aeqxkhGlJUIt55/LyjhlaDx+P5S3mbhkQioJRg9JRiUz8wNRxQiNnKoOy4DUXEOPneQINVNzoilrMdHU60AqFpEepaHH5qKpx45OKWNqbnSwHk6rlB61qUGvDB354vf7UcrF1HaGzg888r30+aG5105+vB6JWER8mIpHlpSEvHa728uGio7/V6G1ZF8zd32+Hwh8qfh2XzOfXzuOnNhA52WiUUWUTkH7YYXiqZFqEoyB+iWnx8uLayp59bAxRqcPS+D+kwvR9g3uPtBs4vr3d6GWS7hiUjqvrKtmTHoEb2/u/2Jw7qgk7pmXHxz2/Wdm8b4Wnl4RsFGxOD1c++5OPrpqLKPSwoFAUwWA/DcYFRQQ+D0i/NU5zhQ3m/FKlVwyPhWT3YNMGpgbuL+pl9Vl7Vw2IZU3NtTg8wc6+S4cm8q9XxzgorGpqOQSzhieyLIDLZw3Koknl5cHb5Ren5+X1lRy3ugUXllXRY/Njdnm4tnzhvLNnib21PeiVcioaDVz1/+xd9ZhchVm2/+N++zOrLt7djcbdxdiWHD34g5FSkuLFmkpUqBQoBR3CYEEiCfEbd3dZWbHfb4/zmayw255aUv7tu+X+7r4g8mO7JnZOfd5nltWFqBXCXU5b+5uDZ3EAkFB12N1eWnqt7GvxUSqUU2MVsHdHwm5XnqllGsWZIXyrNpxcuM7h7h7ZT4VncNcuzCLSJWM75qGMDu9vLS9iduX5rK7uXPMsRh2eqnvszE3O5pt9QO0mxxMTjOEAkn1SilnTk7B5fPTZXWSFqXm08PdQnr9hroQmbhrRT6H282hqpdTyxLx+IM8sO74BDBOr+C6hdmcNz0VtUyCxeXF5vbxwKkT+KaqF5cvwHlTU9nZOMDhdjNLCuK4eFYG6450cmpZIufOSGVDRQ8iEawuSeSD/e28uquVy+aks+5IN7saB1FIxdywKJvcOF2oikgkgmsXZNPQZ6PH4mRebgypRjX5CXpkEhHnv7yHyi4Lc7KiuHxuBs+dV8aRDjMHWk2cOy2VZzcf71VUyyVMTjfwy9WFvH+gnZxYHYvy40g1qsM0f2UpkWErZmCEXIWLdN3jCOnHc1L9vQgEgj8qaNPs8PDC1vCOS4fHT1W3NUS0EiJVvHTRFO7/rJLD7Wamphv41ZoiokfWWS0DDl7ZGb62/vBgJxfPSqdkZA3aOGIAWFWcwBu7Wzm5NHFMt+bbe9s5d1pq6D7/v8Lm9vLO3rYxt9f2WJiYEsme5kFe2taEyxvginkZzM6KPkFOT+AE/kmc+Av6idHYb8Xid/PRwU7SotS0DNopSYpkTnYUh9rNrCiO48bFOfgDQbJiNPzik0qc3gB58TpaB+2kGVWkR2Uil0nGTC3sHj+5cVpuX57H0XYTSUYN1711MGT/39s8xC1LcvjtVzXct7qAjkE7xcmCvqDP6iZCJSMnVkdBgp6r3xBWX6tLEsJKj6dlGPl0VDgoCAQtGICTSxPoGXaTYlBTkhTB67tbuW1ZHnKpmMlpxlA21TEkRCh5ZWcLty/Lw+0L8P7+Ds6bnsoF01Nx+wIYNDI6TQ6e+qYei8uHTiHlvjWF7G8ZIiNaQ22v8Hi//7qOc6elUhCvo9viYmJyJPd/Xhn2XL0WN/1WNw+uq+ZPF01GKZNgd/t4YF0V+fF6cmM1bG/ox+72U5wUwQtbGwkEg5wxOZkgcN2bB0Ok9tPDXdx5Uj5JkUoOtZrZ1TgICCu6JzbW8cSZJXw1EjmxckIC2+r6KR+ZVlZ3W5mcamBhfgwPflFNZZeFJQWxaBUyLn1tPwBZMRquXZDFnuYhbluay+dHu0gxqjl/eio2pxexCC6anopBqyAnVktxUgTp0RoOtZlIMaqZkmZkwObm44Od9FhcqGQSHjptAkmRKry+QKj+5oIZaWGl3DKJiIV5MXSYHGgVUiLVf18WkMnhYVtdP+/uaycjWsM5U1N+UPMlEYvGjfKQf0/rMjElktcvm4bZ6cGolqMdNdXz+QNjyr+F24/feIyURWnl9Ay7EItFY4gogMs7dqX//xsUEgm5cULR+mgYNQoOt5u46JXjmsG9LUO8esnUMNPLCfzfR2XnMAfaTASDQSanGf+tE/D/qzhBtH5iKKQSTi9NwuEWIgL6rW6cXj9V3RZeu2QKJqeXW949QopRxcTkSGxuH0+cUcI7+9rY22xCJILTy5JYXZKAUSNkYR1DUqQKlVyC2eFhcqqRtiFHWMYSCKL7ebnRyKViAoho6LOzrCieGJ2crGgttT0WcuPDXWijH8Pk8I6cuMJJk93jZ3vDABEqmRCKOTON6xZmsb1+gJXF8fRapCzMi2VzbR8KqZjzpqeSPLL+efLrWtaUJPD8+ZNCOq5Uo5q9zSY+ONARcg9a3T4e+LyKi2elcdmcdH71WSVuX4AZmVHkxWnx+P10mp2oZOIxup5j8PgD7G0e4vmtjVw4I41HTivmjg+OkhOrZUf9AGdNSQmtTUAwHASD4evFQBDaBu0sK4znj99zMwIMO7zctDiHPc2DzMiM4ovycCH9gTYTQ3Yv2+uFWpri5Miw6InGfjubavpJjVKxq2mA9CgN/VY3l722n+sWZhGllfP+wW4yotXIJGIWF8QxNyeGuTnH0y1TjGo+vX42nWYnapmYXouLp76pZ9jp5cIZaUxMNTA9w8gbl0/j3f3taBVSTp+UzHObG/mqsofMGA13Ls8nPVpDepQG+Y/oJvziaDe/+ERYA+5qHOSzw118dO0scuLGdzXqlDJuW5bHFa/vD92WHKlkQtLYwFa9SoZeJRtzu1YpYW5OdOhYgjDRy4g5LpQvTopgdUkC2+sHWF4UT1WXhWkZRvaOdHKCsKLOiP7HU9j9gSCB4H+/IFomFXPVvCy21Q2E8tbKUiOZlBrBm3vax2hI39nbdoJo/X+E8g4zZ/9pd0iqoZSJefeqmZT+E3VgJ3CCaP3k6LW4uXdEkyKTCE66h9dX4/UHWZwfx4EWExOTI6noGmbtJC1Xzs2kvHOYvc3COi0YFFYjObE6rluYxRu722gesJMTq+W2ZXnc/O4hXF6hX/DmxTljnl8lkzA7K5pHv6xhwCaQtMZ+G6eXJTIpJZIItRyxSERBgp7qbgsDNg9pUeqQBuhAq4nfnFzEvpahEAFLj1ITr1dSnBTBxJRIbv/gCO1DDiLUcjpMTh79spaTJsSTH6+lMFGPzx+gZcBGMN3AbctycfsCDDu83PzuYWJ0CmZlRaNTylBIxWN0Sla3j4kpBloH7VwzP4vcOB3fVPfSYXahVUhYUhBL15CTy2dn8OtRq8MIlSxEluRSMcEgvP5dK6lGNUsK42jos7EwL4am7yU9+wNBxksR8AWCfF3VQ0GCjk5zeHq+RiHlsQ21FCdFYHf7EIkIO0GJRcJadEKinvJOC+5xJinlncMszI/h+S3hK66Xtzdz8ax0DraZONhmYlNNHx9eMyuUt9VrEfRfUVoFOqUEvz/AoW4Lb+5pw+b2saokkRe3NXHbslyyY3XMyYlhTk4MTo+f6986yLcjURYNfXZufOcQV8zJJD1KzcmlibQMOeizuEiIUJERrQlbDw7a3GMiNKxuH9U9lr9JtADm5kTz9pXTqeu1oVFImJAY8TeDPcfDl+W95MbpyIjWUN4xTEGCnhXF8RhGTeOidQoePHUCNT1WAsEgGyp6iFDLyI7Rsqd5kFlZ0Vw4M+0fqiIKBoMcaDXx6q4WeoddXDwrnfm50ehV/73J4KUpkXxy3Wxqe62oZBIKE/XE6ZXoVWNPB1EnDAT/X2FjVW+YHtblDfBFedcJovVP4gTR+olxoNWEWCEkf3v9Qd7b387SwjjWl/cw7PIyLyeGhfmxvL+/g7ZBOysmJPCHTfVjHqfT7GR9eTf3n1yISiZFr5Ly2Fc1lCRHMjsrCrcvQEa0hjuW5WH3+LC6fHx6pJNlRfF4/IEQyTqGT490U5QYwYNfVCMSwa/XFDFk93Ckw8wvVhXw6s4W9jQPUZociUgEj51RQkOfDYlYRH68jke/rKFl0EG0Vs79a4rQK6Vc9dcDIXLzp5GTuwgISESsnZzCvpYhJqcZeOTLGrrNLlKMas6bnsJjX9WSuSQHl9dPpFqGeZQ7T6eQMuz0sKGql/OnpbK7cQCVTMILWxvxB4IUJOi4c3ker+5s4ZaluRxoGSLZoKYgQcejX9Vw1dwMDraauGFRNv5AUOiMzI/ltxtquXFxNgfazGHHpcPkZGZmFB8d7AxNyWQSEZnRWt7b38HPT8qjutsaIlurSxLwB4LIJWL2t5oIBAV35uh16yWz0kmKVHHxrHQe+qJ6XDfXpFQDw+MEiQaCQSSjmJ/J4aW+z4rV5eNohxmLy0f8iOP0cLuZ86encs8nFSGi99zmBm5YlE1Dr43s2OMEqMfiDJGsY3B5AwSBZ0Y+f3d/XI7XH0QhFfP0uRNZXnS8000qFqGUj53myMTjT3hMDg9dJidmp5fLXtsXIu2zsqL4/VmlxP2IpHq/P8DGqh4Ojpg3cuJ0fFvTS7RWHjbdA4hUy5kxkpY/PSOKAZsbjVxMEBFquRTJP1jeXNFp4byX9oTW+PtbTTx19kROLUv6hx7vPwVZsVqyYo9P+EwOD1kxWvQqaSgSRSEVc+bk5P+tl3gC/wsYdow16JjHue0E/j6cIFr/YnSZXVw5N5OCBD1SsYg+mxutQsLZU5NRSiU0DdqYkmagolOIBojWCieM2dlRxOgUvP5dK80Ddh5fW8y1C7Lptbj4zbpqxCK4dVkuf93dSo/FRbRWzqOnl6CSCVOiZIMqrMdQo5AQHyGIpY9lFb1y8RTsHh9/3tbE5AwjZ0xOQiuX0ThgJ06vZMDmxucP8k11L1PSjUxMMfBNdS/3fVLBdQuzx2hn1h3pJjVKzTfVvZw6MQmHx4/N7eOWJbl0D7tINQqRC7cszaUoQc9QfT/XLsjmuc0NDDu96FVSrl+YzVPf1LOsKJ4vK7pZlB/HnR8eDT1HdbeVz49002tx8+ymevLj9TQN9LMgL4aHTi3G6fGRYlTzwLpqPH5h8nfdwiyeOmsi/TYnk1MjmZZuZG+LsFaakKhHKZfw+7MncqDVhEwiYmZmFHeNmAN+/3U9Z01JJk6vJC9ex86GAd7c28qDp07gj1sbONRuZkZmFE+dXUrTgB2tQgYEqe21UtNj5cq5maQYVVy3MIs/bWvC6w8yJc1AWpSapgEH6VFqWkY5Ck+dmMSmcQjRGS/sCumOTpmYyKDNQ02Plcouy5h1z/b6AeblhOdxaRVS4vXKUBzIMcglIlaVJHLvJxWhx3f7Atzx/lEKEyJIMQoXDRFqObcvzQuPtTCoKBpHv1HdbeGWkemlw+MPW03vahykvMvyo4gWIhEL8mI52GZmwOZhwCZo5fLifziAVSIWhcU//DOo7Boeo5V8aXsTy4riUMv/73x9flXRw4PrqrhyXiYeX4BAIMj8vBjKUg3/851P4P8MVhTH8/ooty7AyaX/3RcV/wn4v/NN8R8CmUTE6EXRsqI4nv62npZBBzctzuG9/e08dkYJnx7upN/qYUfDAD+bl0lpcgTZsVoiVDI21fRhdng4b3oaTrePy2Zn4AvCs5vqsXv8XL8om0AwyItbm0L9aQM2D3/Z1cyZk1PYWtfPrKwoMqO1vLCtEbPDy0Uz09nVOBhGwEwOD2UpkTT129lY2cu83BikYkFo/PS39Tx19kQCwSAxOgUfH+pEKhFx5bxMttb2oRpH5ByllWOyewgG4eNDnTx7bhmN/VZ+/uHR0Mn2gump7Gke4q8eP787q4Q+i5sHTilCJILD7cM8v6URk8PLn3c0c8uSHEzjTH12Nw2yrDCOZKOK+l4bHSYnDX1Whp0+Uo1qBmyC8L/f5iYYhD9ubkQmFlOWGslHBzuZlRXFrOwo1DIJKQYV7+1rZ3NtP7E6BUEgRqugNDmCr6v78PgDvLGnjXtW5nPPx+VkxmjJjtFR1W3hqrmZyCQSIEhFl4W/ftcayjDTq6RcMD2Nx0aiIM6cnMQvVhWSEa1mV8MgXn+AKI2ch06dwK6mIQ63myhLMZARrQlFfADkx+toGbDj9QeZlBpJnF7JroZBLpiRyp7mQZTjTMtitArSvxf2GaNT8vBpE7jyrwdCHZqnTExkd/MQ09KNY7R+FpePw20mrC4h0BVgQX4Mb105nd2Ng8RFKJmRGUWqMby30e7x8fAX1dT0WClK1LOzYXDM6xtvkjcah9vNvLmnlfYhB2dOTuaimWmhDLfTypKYkm78wfv/WASDQaq6LNT0WFHKxJQkR5BiDD9uinG0axEqWdjU8b8dFqeXl7Y1Yff4eeqbemQSEWKR6AdXwqNhdnj4rnGQb2v6yIvTsSg/NmxadgL/PZiUauD1y6bx5x1N+INwxZwMpqafINv/LE4QrZ8Yvz65iLcO9dNpdnHShHgUUnFoYvHqrmbWTkrG5vJSlmqgvGOY6xZm0WlyMiFJj1Yh48VtgmanZdCBxeXl3GlpPLGxDpfXz5rSBBr6hBynJ84sCSuplUmEq//bPzg+/VHJJDy6tpi2IQebqvsoTYkMVchoFVJidEoOtZkoTNSTHq3h9e9auHRWOrlxWq5ZkEXLoBWDRhEmCP/913X89vRiUqLUZESpaR753RRSMedNS+Wl7U2kGtVcuyCLbfX9iIDHzyihutvC81ubeHd/O1fOzeSN3a0caDXz2IZacuO0ZEZrQ06+Y6jusbKmJIHv4/pF2VR1WegcqeS5cm4GIpGIZzc34vAIpdU3LMrhlV3NlCQJBDZOr8TlDWCye9AopRQnRlDZNYxYLCIzRsvm2v7Q8Xx6UwOvXTKFRflxDNrdJEQqcXv8+ALBMIH1hdNT2dc6xJT0KNYd7QoLirU4fWHrqk8Od3HO1BTu+7SSqlHuTLEIPr9+Dh6fn1d2NpMfr+fO5XkMO71IxCJ8fkGAfe+qAnbWD1DXa2VVSQJJBjVevyDQHk2elTIxl8/NIEanZNDmHiHKwnRnfl4s626YQ2XXMEN2D9vqBuizuJiXG82ru5rDUvRjdQr2NA9x98cVvHvVDIqSIlDJpMzKih6TXj8aJruHHY2CcP27xkEWF8Ty5p7jcQJikSBM7zQ58foDJEYqw/KaanosnPun3aFjubtpiEdPL+bja2chFovIjtaiUUoJBgUnrUwiwqj5x3RE+1tNnD9qLZgZreHVS6eGachKUiKJ1SvoG4kWEYvg2gVZ/6fCPaUSUZgRQZhsBlHKfpzw/6ODnfxmlF7yjT2tvH3FDBINJ7oc/9ugkEmYlxvDrCxhDS/9Lzd//KfgBNH6ifHUN3VMzkliarqRFKOKt/ceL0S2u/3kxmgZtHl4/0AHRzqESIAFeTHMzopiT/MQJckRHB25fXlRQijfCuCFrU3cuyqfJIMKh8tPUaKeyi5h5Tg13cg31eErJ6fXT023lZd3NBGhknHZnHS21/eTFaPhZ/My+dVnFaFi6ni9kusWZvPKjmZOLUvi3X3tvHTRZF7aHp5hdNPiHDbV9rOpppfrF2YTq1eGLPW//ryKc6alkGpU8/MPj4ZWix8e7ORXawpZWRzP+vIe0qM1zM2JZsMIsZKKhMlfVqwWmUREp8nJ+wc6yI7R0Nhv47LZ6by2S8geu2BGKuuOdociF2p6rGTFaHluc0NIxGn3+PnjlgYeXVtC+5CD8s5hyjuHuWhmOjMzjTh8wdBqEIQuwDOnJPP+fmGS5PD4ONg+jMPt5bSyZNKiNQza3BQlRfDW3naquy2sLE6g3eSgx+IGgmjk0jFaBvGoqcf501NpGXSQFaOle9gVSo0PBKG+z0rbkINfrimkY8iJw+vnq8oeus0uPP4AL144mdveOxIq4W7st3PprHQyojW8vL2Zp88tw+ry4g8ESTGoGbC6eWtvK8MOL93DLnqGXawojmd+bgwFCXoKEvSY7B4W5cdi1MgxahS8cMFkbn33CD0WF8kGFZfOTufJjXU4PH621vWPuyL0+QM0DdjpGXYRH6EUND5KGSVJkRzpMNM17CIYhLOnpvBleTcxOgX3rCygsd/GBS/vxeH1c/aUFK5bmB0KKK3usoQRVhD0fx9fNwsxIlqH7IhEIvY2DfDkN/XolTLuWVnAovzYcad7fwsen58XtoRXTjUN2DnSbg4jWlkxWt66Ygb7moewur1MTjNSmvx/y+6ulku5ZUkOl7x2vB4s2aD6Ubb+7mFnmKMWoHXQQW2v9QTR+i/GCYL10+IE0fqJ0Wf1sKFSyC4Si+CGRTmhOIF7V+bTa3WHcpPuWVnA09/WY3f7hB5Clw+jRs69qwp4d18bPcPheppLZqbRa3Hz2eEuojQKrl+UzfNbGqjttSEWgWwcwa+g3SpGJZNwsM3M4oJY8uP1tA45QiQLoMfiwuL0csXcDGJ0Cm5ZksuLW5tIiDz+ZTk13cCRdjNb6voB+P039SikYq6al8kfvhZ+x9d2tnDPyvww/ZYvEKS8UwhEHLB52FLbx6TUSNKiNJQkR1KQoOOOD46GVlqTUiO5cm4GBo2CB9ZVUZKk59nzyvD4AohEIt7YHR64aHP7sH8vOd7i8lHROcwftzSytDAOiUjE4xtquXR2Ok+P6tYDQfc1uvpmZXEC68u7OdxuZn+ricfWFmP3BFDLpfx6TSFisQin20d1jw2DSoZUIubmJTncMWqamB0rlDyDcNKamm7k5R3NDNo8nDE5hU6zg/XlQkCqQS1nQ2UvCqmEis7hUBhqbpyWc6emYnf7sH+vTujtfW08cUYJBo2c75qGeGFLI75AkHk50Zw1NYX6XhsbK3tDIv6NVb38/KQ8rlmQDYBBI8egEZxz/VYXwQA8e+5EanttHO4w8/iGWlwjgaffP7YgrN3WHe3mjg+O4PUHkUlEPHlWKSeXJnH/yYVc/pf9DNk9vLOvjd+cUsT1C7PRKaVUd1u4/C/Hj9Nbe9tINaq5ekEWQCgDbDS0SikDVjc//7Cc/a0mlDIxl87KIDNay+F2M9e+eZB3r5rB9BEx/I+B1x8c4yYFQlEjo5EdqyX7H1iFNQ/Y2FDZy97mIZYWxrEgL4aEH6NN+1/ArOxoPrh6FofbTUSoZExOM/w4d2hQKGAfc/M4hewncAL/v+IE0foXIhAErUJCTqyWK+elU91l5dVdgtaksd/OwVYTj55ejMXlDTtJ76gf4NZluWGxADcsysbnD/D8SNK2yeHl1vcO8+RZpdT32ojSyNGpZOwetdrSKaQEAZlEzB0fHA2dMCViEY+tLQl7rXF6BZkxGv7wbQP9VjdFiXpOK0vC4w+EnIFT0408vzXc4u/2hQdKTss0olPKuH5RNkM2D+/ubw9FKKQZ1Zw3NYWvq/uwOH2YHB7cvgB/2dUaIlkAB9vMXDwrnU6zg9uW5ZJmVNNlcpKfoKd5wI5ELAr7ebcvEOaWAiF1/1hA5ddVvdy0OIdt39aTFKkKC7s8hnSjhpxYLfNyYzBqZKwbKZnOi9fz8Je1rC/vRqeUcd3CLCYk6LF7/RxuMzPs9PL50W6umJvOfasLaB10oFMKz90z7OTGhVlkx+m48Z3Dodf80vYmfjYvk1idgstmZ+D1B1g7KYmkSBXzcqO568NycmI13LWigJ2Ng1R0DXPHsjy+ruoNFYsb1HJmZEVztMPMs5uOp8tvqx8gL15PnE4xhkg8u6mBUycmhZHnfqub335VQ1aMln6rmzi9kji9MjTZEItgfm64ww+EyJC7PjoaEtB7/UHu/rCcCYkRlKUa+Pz6ObQN2YlUy8mM1oRWbd/vgwT45HAnF81KQy2XMiExgoQIJd2jLjJuWpzDS9ub2T/SKODyBnh+ayO3LM3l8MjxqOga/ruIlkYh5eJZadz9UUXoNrEIihLHZnz9Ixi0ubnx7cOhINtNNX2cPz2VX64p/LcUXgcCQZoHbAzaPSREqEKmhr8FmUTM5DQDk9P+Pj1OQqSKm5bk8NCoi5dUo5q8hB+n7zqBE/j/ASeI1r8QErEIkUjEGZOTEYnEvDVqjQjC1XPXsJOvR6V3gzAB8voCTM8wkmJQkWxUIxeL+ORweDBmIAiNfXYiVDJ2NAzi9fl5/IwSYfUogjidkr9+18qqkoSwqYQ/EOTb6l4unpVGhEpGMCh8Of7ikwrcvgAyiQinx8/XlT3E6pWcNy0VqUREYbyekkQ98/OF7j+5VMyepqFQ4eoZk5MZsLq5/u1DAKRFqblxUTbPbm6gIF7HnqYhJqcbKEzUkx2r4dWdLWTFaOmzHj+pikWwdlIybl+ApEg1u5sGaBmwk2xQc6RjmOkZRi6ZlR6WZu/w+LhzWR6/+6aeIbuHKI2cqxdkhWILjh1TtVyCCDhjclLYe5FsUDFk93D3inwG7Z7QSjfZoMLi8oZI17DTyx++qefli6fwycFOvqzswaiRc9W8TETAA+uq0SmkOL2CnkshFfP7syfS0GdlRqaR4qQIGvpsbK7t55vqXh47o5g/bW1kQnIutT1W5FIxGoWUt6+YTo/Vzc3vHg4rpr59WR7VPRZc3gB3rcgnWqug5ntp/AC7Gge4eFbamNvFIhF8b+hZ0TlMXryeR9Yf70U8tuLbXj/AZbPTKUuNHPNYHSZnaOJ1DHaPn06Tk8wYLUkGVWgdOBoJEWPdgGWpkSHykR6t4Y3Lp7OneZBBm4dpGUbSolRhFyLHMPpC5Fg6/Gh0m51UdFlwenzkxunITwgnUcuK4vH54c87mojSyrl2QTZSsYh+qyuka/ufUNdjpaJrGLEIipMiQyLwhj5biGQdw9t727h0dnpY7Ma/Aj5/gM+PdHHXR+W4fQEiVDJeuGASM39AW/fP4IzJySRFqthQ2UNBvJ4lhbEkRf4wsftvgMnhobHPRhDIjtGGJsAArYN2GvpsqGQS8hP0GDX/vblqJ/Cvxwmi9RMjVqdgwCMI0W9dlssXR7spTYmkddCBXiULK889hvFs4h5fgMY+O1fNyyRCJePtve0kRKhoHwqfUmTEaHj0y5rQ4+5oHOSsKckMO7xsre3n8jkZtA7axzy+y+dHLBLx9LfCNGR6hnHkZx1kxmio67WRbFAxM9PIje8cJiNKQ6pBzeVzM7n9/aMhbcs5U1MwqOTE6xUUJuj4zSjHXOugg55hF8+cM5G2IQdJRhUPrKumx+ISVqQrC3jju2bWlCaGXGU3Lcnl8yNdIefd6WVJFCboWFfew5EOMwqpmMfWlnDr0lzsbh+Z0RpUCgm/+rSCkycmkxWjwesL8Idv67G5fSzIjaE0JRKNQsLP5mXRMmDH7vFz7YIsDrWbSY9SMzXNyNOb6nnk9GI2H+hj+YQ49EopsTpFSMgtFsHP5mUhAj451Elegp4hp5fvGgd5YmMtj55eDAghnmsnJZFsUAtp4oEgZSkGdjUO8tL2ZooS9dyzMp+DrSa21w2wqCCeV7c3saokgdd2tdBvdbO6JJElhbFhJAvg8yNdPL62hCitnMlpgvMuM2bseqckOQKNXMqCvGi21B5PVL95aQ4qmWRMV+HGyp6wqWS/1Y1aLuHFCycjEYtwen3sahzkvX3t6JRSTilLQi4RjWkuiNEq0I2EXlqcXrqHnWiV0tBJt8/iwuUNhKW2x+kVXDQzPcw48P2MJ5fXx5RUAxurwy9IjjkCixL1TPpeDEGnyck1bx4I6R0VUjFvXjE9zLEYpVFw4cw0VhbHcah9mJveOYTN7SfFqOKP5036wXohEEjquX/aHUpYN6hlvH3lDPIT9ON2QYpFwoXXvxqN/Xbu/PD4tHHY6eXW947w6XWzif2JYi9Gw6CWs7I4gZXFY40r/61oG7Lz8w/L+W5ECzol3cCTZ5aSFiUE5174yp6QJnNhXgyPnF5M/H/oWvgE/vdxgmj9xFhSEEuUIZIYnYIJSXrsLi99VjelyZFMSIrgno+Pi7CnpBmo6rIyJyeaHQ0D5MXphCRyk0PQ94jgvk8ruXZBFgfbTPzurFJmZUXhCwSRikUcajOhGKn5EYlgQmIEIhG8f6CDR08vZk1pIjW9VvLj9Zw1JZn39h8nQSsnJITlU+1pHuKkojjsbh/PjFpF7Wse4v6TCzncZsbp8fGHTc1hAuJ39rXzh7NLuWhmWlhu1zEc7RzG6vKhV8nYXNsXynEasnv45acVPH1uGUdGgjdreiy0jVwpHsNHhzopTCxAr5Ry94oC3tzTylt72hCJhCDVPpub3i43l88R8n++axjk4tlpnD89lSSDmk8OdfLC1kZmZESxsiSeQ60mPj3cJVyJxuvYVNNHt9nF9IwovqnqYfmEeB78opp+q5uECCW3LM3h44OdnD4pmU6zE5FIxP4qM+/u7+DaBVnU9VgZtHuQScTkxGpZXZLIjvp+PjwolGwrpGJ+ubqQvc1DI6tkKW5fgNQoDdEaOfnxOoLAw+urQ+u6z450oVVKyYrR0Nh/nCQHgkGUMgk7GgYxOXxMSTdQlmrglInHA1OzYrTE6pRc99YhXrxgErlxerrMTspSDaQYlKx6egeXzExjaVEc6dFaEiMVYUnQx+D1B2gbdNBhcmD3+ELdmCC4zH67tphbluTw4rYmOkxOkg0qrp6fRYpBTV2Plbs/KudAm4lItYyHTi1mWVEcX1f1cu8nFawsjuemxTkEgkHm5QgC/R+CUiblpqU5HO0cDn1+Lp+TQWlKJK9cPIXCRP2Yk9yRDnOIZIGwXn5ucwMvXDB5jGOwa9jNla/vDx3/9iEnv/y0kr9cNm3cWqBj+PxIV4hkgbDO31zbT36CnuxYLbOyokKmDYAr5maMicP4V6DP4hrT9dg97GLQ7vmXEK3/i9hWNxAiWQD7W0yh9e8LWxvDjC+ba/s52jF8gmidwN/ECaL1EyPFoCYjSc9ru1p44ItqfrGygIouCz//qJyiRMG6r5CKkUrEpBhUXPaX/RxoHeK588r4sqKHHQ0DTEs3khqlDulPNlT28sApRTy/tTEUbKqQinnq7Im4fQEyozWcMy2VXY0DBIPwi1UFJEao+PXnVTSMVM4UJer59clFbK3tZ0VxPLW91jGBo2KxiLf2hgvNj3YOIwrC4oI4RDBmogZQ32fD6Q2MW1I8Oc3A+vJuzpqSEqa7AWHV1G9102F2sqdpiMtmp/P2vvYxj9FndbOrcZAdDQPcsTyPN/e0cfHMNL6sEFLDj+HyORlkx2mp6LQwNd3IXR+VhyIbttb3021xctuyXN7Z34HT6+dQuxmdQsryCfH4A0L0g1ou4a6ThHiFJzbW8ukhoX7i2OpKJIL7Vhfi9QWwuXxctzCblkE7comY+1YXUtdrZd+IlgiEE/yHBzuYkx1NXa+N4qQIHvuq9vjxSY3ktLKkMaGjX1X0cHJpYhjRunJuBruaBrG7/dz98VEW58fyi5WFPHjqBKalG+mxuOixuEIr068qe6nqGsbtC7C+vJu5OTHctiyXdUe7+eBgJ2dPTWHFhHgunJEW5sKUS8QkR6q55LW9RGnkaBThXxMef4DGfhsxOgXnT0/F6Q2gVUiYmm5AKZXw2ZEuanqEz6nZ4eWGtw+y8eZ5vLdfeG/Xl/cAguNUJZMwNeN/zsUqSozg42tn0TJoR6eUkhWjRfUDgaEW59g065ZBBy6ffwzR6hhyjDn+h9rNmByeHyRa44np+0aIoEEt57drS9jVOEBFp4UZmUamZ0T9W7oS4yOUKKTisGy0FKPqH6og+qkwYHVT3jlMv81NepSa4mQhLuQ/Fce+e0djf4uJMyYnU9k1PObfBmxjNxUncALH8J/7Sf8vhdPn56EvakJfwnaPLxS7UNllobLLwswsIyBi2OHlsbXFNA3Y+cM39VT3CHqbz492U9Vt5Z6V+bywtYnGfkEncIxkgXACf21XCzcsyuKqeZnc/XF56GRR3jnMedNSQiTr2HP3WVwkGZRsqu4le5wwwmN6re+jzeRkQ5UQ57AgL4Yttf2hf5NLBF1Rr0WYRF0zP4tXdgpTrxUT4lmUH0uKQUl2rG7MqkkhFdNucuIPBDFoZOxrGWJGpjFsogVgVMuI0srptbhpGXSwpiSRIKIwkgXwxu7WUCzB93PGAOp6bXSZXFy7IIt397VzalkikWo5Gyp6WJAfg1wq4WjHMF9X9RKhkvHbtaV0Dzt55MsalDIhJyw3VkuEWsZ1bx0KEdX8eC1LCmK54e1DXDBjrDaqy+xiTk402bHasEwpgANtZs6amjLmPlkxGiYk6jl3Wgomu4ezpqTwXdMQHx7sQCWTcPnsDLbW9fPZ0S7m5UbTNGAP062BIPjut3lCx3xbfT+lKZGh5PnfrKvC6vJy6ex0NAopf/2ulVi9grOmJPP5kU7i9UrOnJzEhsq+Ma9PJhHz+6/ryYrVkh+vY0l+Cg63nzs/PErbkINLZmfQ0GdlQ2UvgaBASooSI0L6t2OI0Sn45GAHA3YPJckRlCZH/s2MqoRIVZiQ/4eQG68b00F5/vRUIsbpKBwvlHRCop5I9d8mWQCnliWF9HvHsLjgeAFzilHN2cZUzp76o15yGDw+P039doZdXlIN6nF/7yG7m33NJva3DpEXr2NGZhTJBjVZMVr+cM5E7nj/KFa3jzi9gqfOnhimY+s2O2nqt6GUS8iO1YUcsv8KDDu9PLS+io8PHa+pevyMEs6cMvZz/5+C2VnRfDBKBgFCDI9OKeO0siR+/014bdqJgNYT+CGcIFo/MRL0SjrNTsQiuHp+1rhXsI19ds6YnASI6LW6KEsx8MLW8HLhxn4bIhGsnZTER4c6GbSNTdPuNDuRiMUc7RgOO6EkRCjDQjGPoXXIwZKCOPY0DZIdo+WMyUl8eLCTYFBYeTb32zl9UlLYijEvTkfPsItvqvsoTNBz+ewMgsEgW+sGSDYIfX5SEWyp6+OSmenkxGq5b3UhPr8Qh/D0tw2sKU3gN59X8bN5mUKchcePQirm2oXZvL+/HbPDy3PnltFqcmDUyGnqs7GraQipWMSlszPwBYLMz40lI1qN1+fH7PRhdY2dWPgCQcQiEU6vH68/iFhE2NROJZPQbXHx4YEOrp6fxd6WIf68o0U4zpOPVwYVJer58GAnB1pNPHfeJMQiEU+cUUJNj40PD3WSGa3hlqW5PPNtAx5/gJoeG62DDoadXhRS8ZjnPXliIuuOdHHRzDTOnprMgM3DhsqeMDH5gtyYUGyGRi7hijmZ1PZamJMdHRLevrRd+IxYnD5+/009dyzPY8ju4Y73j/KLVYW8tafteDL9iMZsNLHNiNLQbXayrDCW3Hg9wSBsr+9nZlYUhQl63rhiGlKxmM21vSQb1PRbPdzxYTm/WFXAtzW9od9JI5eQEa3hynkZ+PxBHF4/iOC8l/eEnr+8c5ir52eGyLVGIeX8Gal8WdEd0p4VJ0bQaXby1KiT1ksXTQlFbbi8fo52DNPYb8OokVOaHPGj1jPBoKCN+/WaInyBIHa3F6lEzJrSxDE/O2hz85fvWrhmfhYv7xAqkmJ1Cu48KX9cUjYaMzKjeObcMv64pQGJSMQNi3OYPJKiPWR30291Y9DIif2RwvpjsLt9/HV3K49vqMUfEF7PyxdPoWSUZsznD/DqzpawNf/cnGiePqcMg0bOSRMSKEyMYMjuISFCGVZJVNNt4YrX94dW/WtKE7lvVcG/bK1Y32sNI1kAD3xRxazsqP9Y0fzs7CgumZXOX3e3EgwGOXdaKnNHaq3WTk6m3+rmnRHN4n2rC//PZaudwE+LE0TrJ4ZcKuL6hVnkxev4y64W5ufFjvmZi2akMejw8MbuVrz+IPetLkAqFoVKjUEQX/cMuzilNJHVJQmIRKIxJ/DTypIIBgT332g09Nk4rWxsZ960DCNv7WnhynlZVHZZmJJmZHFBHE39NrbVDfCHTQ08e+5E8uP17GgYID1KjUwi5k/bmxCJIEIto7LLQrxeyV0n5ZEerSEQDGK2e3jijFI8vgDXvnUwTB9yx/I8ntvcwJmTk/nTtiYumJGGRCyiIF7Ho1/VUpSoZ1VJAjubBvnTSCr+8sI4nr9gEmqZhIfXV1PbK0y4FFIxz55bRnnXMJNTDWM0TKdNTGRbvUBWBmwuzp+exl9H9XbdvjwPn8/HpBQDSQYlX68XxNVXzs3k+S1NoeiBggQdV8zN4OXtzXSanVw9N509zabQY+1rMRGnF4TUx6ZIxzTO7x9o564VBby3v50+q4vTy5JJjlTyyOnFbKnt57397cToFNy+NI+uYSeRajkauRSNQsLNS3LwBYRS6eqeYbQKGa/ubOacaalhwbfH0Gdx4fYFONhmRq+S8uE1s9jbPIjJ4aEgQc/OhuNC+BitnPtWF2Kyu/n4cBfPbmpAIhZx5uRkDrSa+MO39bx00RRyY7V4/QF6LW6aBuxctzAbu9vPc+dNorLLjNUdIEaroNfq5vENQlDlGZOTaOizjQkaXXe0m3k5MURr5ZR3DgsE9upZNPTbkEvFyCRizn95T9h9Ht9Qw7QMAxEqOV9V9HDzu4dD/7YgL4YnzywlahyH4TG4vX621fdz49uHQ68nWivn7StnjNt/6PYF2NM8ROugg6vmZREMBrG6fLjG0a19H1qFlDWliSzMi0EkEoVWrIfbzdz23mEa++0kRCh58sxSZmX/eMdfTY+FR7+sCf1/n9XNA+uqePWSqWiVwuSpbcjBC9+LWtleP0BDv42pGmEVm2pUj9GE+QNB/rKrJUxP+fmRLtaUJLCsKP5Hv8a/B3b32Gwyq8uH+3uu1f8kxOqV3LMynwtmpBEMBkmNUoecsckGNb86uYir5mUil4mJ15/QZp3AD+ME0fqJsammD4lCi1Qi5tLZGWyv6+f2ZXm8tquZIbuH5UXxROsUPDEqTfndfe1cOjs9LIX90tnpvLmnjeoeC69ePJWHvqjmrhUFfHCgfST0MplorRy5VMTkNAPv7GsLTUiunp+F0+PjrCkpfHKoE5EIzpkmhFhetyiHX35SQeuI1koiFvHMuRORSySsKklgfUUPU9OMzMuO5vff1jM8onVZVZyAVCzmga8qAcHZlhChZFlhHM2DDv66p43lhfFjRLiba/rIidUxPzcGpVTM67vbGLR7uH5RNkaNHJ1SSsuAPUSyADZU9WJ1+4jWKkIkC4ST4oE2E50mJzvrB1hRnIDJ7qGx30ZpciR58To+ONiJViHF7vYL5cZLc1HJxOTF6WgZtLO3fZiytEi8PuF16lVSfP5AWL5TdbeV2dnR6BRSZBIRc3JjueTVfWG/V69F0JpcPCsdmVhEVqyWhXkxbK7t58mNtSwpiOOmxTm88V0LBQk6Nlb1htaGQasbsVjEltp+mgbspEepuWZBFg9+UU1ypIobl+Qw7PTy8cFO9reacXj8FCboOTBK+wVCFILL6+fnJ+URDAoOxMc3VAu9l9+1csfyPH5+Uh5Wl4+CBD2//rySOTkxbK8XCJg/EOSdfe3ctiwXty/Azz84yq9PKaLT7KK+18ppZUn8cUsDXr8QjfHgqRN4c3crC/JjWT9qZfbBgc5xa3n0SsH5+OrOFl7eIawMnzm3jIwoDdlxGj473DXmPhanD68/SK/FxQOjal0AttT2U9tjZVb23yZaLYN2Pj0cXoc0YBM6Rcfr7ovTK7lwRhovbW/muc3CdEglk3DROPEYfwvHyA8Ijs0b3j4Y0jJ2D7u4+o0DrLthDqk/JgAUxgQVg5AtN+z0hp4rECQsS+4YfP4fJi9Oj4+9LaYxt3eN85w/FTJjtGNkA6uKE0j6kWvg/y3IpZK/GVQrk4h/9Pt5Aidwgmj9xOgwuZhbFEufxc2zmxq4aGYaRo2Me1cVoJZLiNbK2d04FHaful4bZ09J5ndnltJtcRKjVaKWS3hvn7Di+uxIF3V9Np7cWMui/Fgmp8lQyyW8ubuNB04torbXwvULcxi0u0k1qDnUbuazI11kx2q5bE46waCQVVTVZeFAqylEskD4sn5tZysqmYit9YLLZn15D/etKuDyOel0mpzE6pWYHR5qeizMy4nm9EmCNqWp3059nyBOPm1iEqJxdL5KmYSJqZEcajMTH6niodMmsL95iAmJehIjlHxwoIOZWdH8ak0BBrWCLrNTIFQtQ6F0aa1CcOC1m5wEgrA4P5YH11dzYFMDsToFyQY1b+5p47qFWVwxJ4NItZw/bWvE4vKxv9XEc+eV8fGhTj4ZObFvqOxlSpqB25fl8tmRLlqHHGNed/uQg5LkCNKi1AzZPWPExQBSsZiPD3YQDAqJ5pfMTmdSqgGZRER6tIZei4sLZ6bjDwb5dlQ90ullSby4rZHekf68lkEHj2+o5cULJvPGnla21vQTF6Gga1h4n6q6rawpTQwFx4KQPN9pdvLyCDk/0m7mjuV5lKYYONRmZmFeLA19Nl7d2UKURs6K4gRSjWqOjCPyHbJ7uHmJEJAbCAZZf7SbU8uS+M26qhBxdnj8PPRFNU+eVcqNbx8ak6Aeo1OQGa0JpdqLRHDp7Ax+s66axfmxTEk3sqmmj5e2N2HUyDmtLAmz04taLglzPV46O51orYKmfluI5I+GwzN2OjIaww4v5nFKq/+WWFkysp5Wy6W8v7+d7FgtNy3JJecfzLrqGXaOMYxYXD46zc4ffWIeL39sdnZUWI5TilHFWVNSeGeUeaQgXvc/JthrlTJWlySE2iqOIedfqDFKMar5y2XTeGZTPeUdw6wuSeD8GWn/p/oiT+AEfggniNZPjCMdw5T3N7KqOIGiRD2v7Gzh9mV5PPFxBWUpEVw1L4uCBD2zs6PY2TCITiGlJDmCik4rZucQLq+fPc2DLC2MoyQlggS9ktoRkbzbF+DLCsGtdfHMNOblRKOUSohQymkZtPNtdS+nlCXxzUjeUEOfLSQsf/DUCcilErzjXPEO2j3kxIV/0X5yuItLZqUxMSWS2h4rObFalDIJXWYn931SGbK11/fZOH9aKjIJZI2Iao+dIMUiOG9aCnKphHs+FhyAUrGIGxfnoFNI8QeClKUaeHN3K4WJet7cI6RLyyQi7ltVSEKEErVCSqRKWFmeXGpgcmokm2v7OXdqCs9sbqTP6sbp8XPp7HR0ShkahZRgEIqTIihNiSQxQkkwGGTY6eP86ansbhqisd/G/lYTl81OZ+2kZALfI0IAc7KjyYnV8tmRLhp6bVy/KIeH1x9Pvy5K1HOo3RwiHM9vaSQhQolGKeHBddU8dc5EvP4gt753hGkZQu/lsWgCvUoWIlnHMGDzMGBzs2JCAlKxiCABlhbEYXJ4WZAbg9vn56FTJ2B3+5BJxFR0DvPnHc0szIulKElPIBCkstsS0jvZ3b5QlpNcKsbt9dPYb2dOTvSYIM30KA0PfiGQqqxoDWdMSUYhlYyZTg7aPTT02ZiYEsm2+uNrSb1Kyu6mgVDLgdsXwOryEggGuXJuBm/sbmPI7mFNaSIxOjn1vTZqe6y8uaeNm5fksrd5kF6Lm7k50UxKi+S7xgHeP9DB6pKEEDkGwayRHatjwOoOrV1Hr8bsbh9tJgerShLZ0TAY9trHSzzvs7hABImRKm5ZmsvFs9JQyaSo5GMJQL/VhccfxO31s7d5iO5hF9MyjExKjQxzP0Zq5GF/AyB8nn9o3fl9FMTrefT0Yu7/vBKXN0BunJa7VxSE5e0ppBJuXJxDUVIEXxztYmZWFKtLEn9U0Orayck09dtYV96NUirh9uW5/3KNUXFSBM+cW4bN5cOglo+bM3YCJ/B/FSeI1r8IX1Z0c/+aQi6ZnYHL6+PVS6bwdXUf1711kEAQlhbE8uy5ZextGSLVqCZOr+Sl7U0opGLuXlnAX79r5ZSJiQQCQebnxIwhAiXJEWgUUq596xCdZiexOgX3rirA5wuSE6sd4+5SSMW8vruFX60pQiYRhZ1Ez56SzLObj4tq52RHs6QwFolYTEWnhec2N3D21BTWl/dwxpTksOwgELKuHjujmJ9/WM7P5mVidfuQiERkxmjY1jBAZacl5AD0BYL87us6fn5SHsVJEbz+XQvXL8wOc/F4/UGe29LANfOzcHv9vDhy1b6jYYBDbSYum5NBvF7QCX16uIvbl+fyxIa60OsqSNCxtiyZh7+sZnqGkSvnZWJyeDjUbmJhXiwL82NGJkEiKjvNLC2K5/I5Gbz+XQsAp09KZk/TEGKRiA8OdOLxByhO1vPL1YW0DzlIiFCilEn45WeVYcdhZ8MAarmE+bkxxOmUPPV1PR5/gIpOMw+cWkx55zAubwD/SEr96EmOQirG5vbxi08q0Mil/Gx+JosLYtnTNMRjG2oxauScOSUZrz/AoM3DK7tauGpuJkdGKnikYhGXzErn/Gmp+INBeoZd5MXrQqQgK1bLBwc7iNEpKEjQUT1illhTmsCBVlPo89A4YGdfyxBzsmNQySRhK7gUgwqvL8CEpAji9Eq+rekjO1bLiglxBIMi7v2kgvo+G3F6BfeuLECjkPDzD4/HRry3v53rFmRR020lQiUjQiXl4fXVFCXqidYK4bBzc6K58M978QWCXDgjjQtmpLG9vp+iRD1Xz8/C5vZy0St7aBtyolNIeXRtMbOyo2gZcNBvdfP8lkZWTkjgliU5fFnRg0IqZkVxAt1mwd3q9vmp6LCwr3WQV3e2IELELUtzWF2SgFEzlgy5vH42Vvbw4BfVrClN4NvqPloGj09Anzm3LExkn2JQ8/gZJVz/1iE8/gASsYgHT5lAZvSPXzMpZBLOnprC9MworC4vKUYVFqePw+1mEiOUIdF6YqSKU0oTKIjXYXf7kEvE9FtdNPTZkUpEY9LMjyHVqObxM0u4cXEOcqmYVKP63xKkqpBKUGhPTLFO4P8/iIIn2j9/ElgsFiIiIki5+T3ECjXT0g1My4ji2c0NiEVCX9v3LcGXzU7n40OdmBxekiJVnDQhnj/vaEYsEupWUo0q4vRKNlb1olfJ2FDZg0wsZvmEeFKNQk7W6MmIXiXl7CkplKZE8vNR3YYri+MRiQQHoU4hJVqn4K097QzZPaydnER2jJbKbgsbK3uYlxNNy6CTL8oFDU6yQcUvVhVg9/i47b2j3LQ4Z8zaIV6v5O6V+dz0zmFAcKXduDiHR76s4doFWTy/tXFMbMS1C7JIi1Lz8w/LuXZBFn/cEi7sBfjDORO5+d3DY+57/5pCDrebyInTIZdIONxh4oujPWE/c+PibJ7d1MC1C7P58/bmMMKwsjgejUKKzemlODmSQDBIVoyW+j4bEOTzI93U99mYkibUBb21pw2lTMK9K/PZWNVHeaeZNaWJvLqzJfx3WphFl8nJvNwYYrQyLn1tPxqFjAW5MTQP2lmYF4s/GCRCKUUiFvHw+hpB/C4WcfeKfF7d2RKWzfT7s0q55b0jgDAd/NWaQiwuXyjdvWXQMSb37HdnldI6aCc+Qkl2jJbPjnbz9p42smI0XLswm3VHuihJjiQvTotYLMLtC3C4XRCqd1ucuDwBBm1uZmUZcXgDPLK+hkG7h2SDiqfPLSNer2BfiwmZWMz2hn7ahhxEaRRUdVvCYjlUMgm/XVvMjSOfCYBTJiaSF69DhOAMnJRq4Jo3D2JyCG7NB0+dQBC4c1TdztycaM6dmkpFlxmzw0t+vJ5nNjeEmhAkYhG/Wl3I05vqWVIQR12vFaVMwqE2M3NyovH6AuxsHGDtpGSumptJZdcwTYMOfj9KIwnwp4sms6xwrBh8X/Mgl7++H4vTx42Ls0NNCseQbFDx2fVzMGrkDFjd1PVZ8fqDRGvlDNo8xOgUZMVoxxhWfiz8gSDb6/sp7xzG6fEToZIxMyuKkuRIBu1uHllfE4ohMKhl3L48j3s/Fvob5+VE88jpJeOuIk/gfx9eX4DmQTtOj5+0KPW4OYR/LwasbgLB4Ilg2r8Tx87fw8PD6PU/Td/paJyYaP3ESDIoWTQhlaVFcSEBdZRWQcc44YblncNkx2rZ12Ki0+xEoxCu9gJBsLq9+ANKmgftZERr+PXnVczKisYXCPC7jbX8/uyJY9ZPFqewVmoZsHPxrHREIhEyiYgDrSZ2NgwwJyuaB76oJt2o5s4V+Xh8ASq6hqnosmBxelhdkohIBF9sOS5Mv2B6Gre9d4SHTxMqZjrNToqTIsLWTzcsyiZWq2BNSQKfH+1Gq5SGhLpVXRYmpRrGCLkVMgk+f5CsWA0ikQilTBwWdzA5zYDT40MsEuH/HtOK0irwBYTpgT8ILQMOJGIRJUkR2Nw+oe4nUsW1C7LJjtGgkInDiNaGyl6eOLOEW949QnFKJM19NjJjtLQM2hHByDoxwJDdS4/FxXULs6nsGiYIbK4VJotquZQU4/FKpMQIJWqZlKnpRjxeH16/lLtWFNA65CA7RotOJQ0RVI1cQopBxe/OKqXf5iY7RssrO5vHBGD2DLtCbtTrFmbzxp426kfMAYvzY8mLH6urqegc5q29gjHixkU5lCbpmXFOKUaNgvgIBYN2NzvrBzjQZmLtpGSa++28u08ga2dPTaW+z4rZIRCEP+9s5uwpKczOjqIoMTIUeHnKRDVdZie/+qySfpubaxcIOsLRcHr9YZPPk0sT6Rl2hRLsJWIRr1w8hXU3zKXT7ECvlGFyuqnvsaOQigkGwRcIMDsrmmvfOp5KL5eIuWlJDo9vEEJf/YEgQw4PxUkRGDSCu/H6RTnsahwM6xBNNarpMDt570AHynG0QRsqevCPNC6UJEUQF6GibchORZeFU0qTiNMrGW/b5fYG8AcCtA85uOXdw6Hi61SjipcvnkruOAL8vweN/TY+O9LFRyNNAwA/PymPFIOK8o7hsKwnk8PLF0e7mZ5hZE/zENvqB9jdNMDayf+5eVX/v8Li9PDarlae/rYeXyBISbKeJ8+cOK5h48fA5hLe+ye/rsMfCHLD4hxOnZj4k5C3E/jncYJo/cSYmRFFpEZK+5ADrUKKWi7G5PAQP84VRl68ng0Vxycxo01EkSo5m2v7SYvS8E11L79cXciXFT3IJCLuP7mIhj4bepUUi/P4yUwhFVOQoKeqa5h393eEuXzWlCTy9r52HB4/KoWUz490hWpiAH59chFef4CkSCXXLsii3+bmcJuZmh4rdo8fk9PL6ZOS+OBAB+dPT2VxQSxSsYgUoxqtXMqw08uSglhWFCdwuN2MdKRoemt9P3evKMBk99A0YMeolvOL1fm0DTqI1ck5c1IK5Z1m7lyez6u7mmkfcjIt3cANi3JoHrBx7rQU3th9fGozLcNIXa+VLrOL36yr4raluawtS8LpC/Bd4yDxEUpuXZrLH7c0UN5pwaCWcfX8LF7d2RwipnE6Bd+NGBIkIhEL8+O4+d3DKKViLC4fUrGIe1cV8PKG41OPn83PRCYRhYjPC1sbuWBGGhEqKXE6JZFqGbubBmkasLGyOJ4PD3byRfnx9/ay2emsLoknL14fErRrFFKqu4aZlBw5bt+lWiHhlqW5fLC/nQGbO0SyAL6t6WNOTvSYWJAItTxEWJ/ZXM+Ni3JGpmguPjlk492RjDSpWMSMDCO/++b47/jS9ibuWpFHY5+NnDgtty7NpXXQwas7W1le5GJ6hpEeixuX109OrJYXLpzEnR8cxeLyEaNV0D9KcC4WQaxWwa1Lc3l5exOZMZowMuYPBHngiyo+uHoW0zKieH9/O7/9qoZ7VhZw+ZwMAsEg8RFKdtaHa608/gADNjdahRSb24dOKaU4SY9SKiErVkNSpIq9zYPctDiHdUe7UcnFrC5OZGNlD4vzY+mzuJiaETXmWGuVMu7+qByzw8vc7GjuP7mQG985TGXXcTfqs+eWjfmbu2ZBFjE6JR8caA+RLIC2ISefHOrkzpPyxzzX34MOkyOMZAG8uK2JuTnR4/amNvTZmJ8bw56RLsnKLgtrJ/9TL+EE/gUo77Twu1FT1aMdFl7d2cxvTpmAdCR7sc/iorLLwrDTS3aslsK/0aEJsLdliJ+Pane4/7NKYrRyVpWMzY47gX8/ThCtnxgfHOzk6iUGsmK03L+mkHaTE6NGjkYuYXF+LN+OZFuVJkegU0hDJye1XIJkRCdxbHKwMD8Ws8PL9Awj68u7cPuC2NxBNtX0kWJQ86vVRexqHGBnwyBDdg/XLszmxW2N3LU8n4IEPZ8e7qKh38aKCQmIRfD5UeFENyc7esz6763drVw4K52ff1iOxeUj1ajmmvlZfD0irG8ZsOPxBbhlSQ5uXwCxSETLgJ3yTgu1PRaWFMRS2W1hbnYMf9nVQk6clhsXZ/PqjhYe31DDzYtzKE6OpMfi4g/fNmCyCxEVVpePXoubDpODtZOSyYjWsKWmjwe/qOKy2RlMTTMQpVHQPGAn2aDC4vLx0cFOblyUhdnpw+z0olVI6Rx2satxgEBQiNi4flE25Z0WTA4vv/+6jntXFfDWnjbqeq1cNDOdZzbVU5ykHxEue/jZvExMI11we5oHqeyykBSpCk2Z/vpdK3+5dCqXzErn5R3NoTyitZOSKE6M4O6PyhkYIba5cVpidAJhPdBqYk/zEH8Zuf89H1fQNuJy/Ot3rTx02gR2NA6wpCCO/a2m0MlzZmYURzuGUcok3LE8j5e/l/oOQnHy6uJ4PjkirHlPmhBPfe/xoNpgUOgsfHVnC7cty6V54HjmWHashopRJOIYarttnD4pka+r++g0OShNMbC1roWtdf2sLkmgy+ziYJsJg1rGXy+bxmWz0xmwebh1aQ73f1418tlghGA1kmhQ88y5ZTjcPmJ0ijBy0G12CeGyVhePfVXLlXMzufuj8pC7U6eQcvfK/NBn8Bh0SinnT0+lJDkCm9vLjoZBYnUKHl5fzSlliaQa1PgCQW5YlMXGql5e3y3o2bqGnVw5L5MOk5M4vSJEvOP1SiJU0hAB3t4wQMVIi8NoPL6xlgdOnsCeliEa+6ycPTWVBXkxADT1jy1u398qOGf/Ef1Tz7CT8s7hcXsoj73OjHF0X7OzoznYdpzwZcacSCz/T0T7OE7nLbX9WFxejBoFfRYXt79/JGQ6kYpFvHbZNOb8jTy20W0dx/D5ka4TROs/BCeI1k+MK+ZkMC8nmuoeCw+sO+5SK0zQ8/OT8ihKEhK55VIxUrGIKekGkiJUnFqWhMXp5d6VBRjUMsRiETqFFPvIVfvOUZEQESoZp05M4q29bbQNOTi5NIHCRD2/+7qOtiEnNb1WHvyimtLkCIqTIviqopvbl+WFsmx84+TvnFScwFfl3Vw+JwO3L4BCKuarim7OnpbCppo+3tnXxm3L8vimqpeqLgvTMo2UpRj43de16JUySpIN2Nx+ttcP8LP5mVR1WXhnbztnTklmZlY0To+Xis5hHt9YS3qUhktmp+PzB5mQFMGhNhOvjOidbl2aS6RaJmRE+QL4g0Ge29xAfISSDZU9uH0Bzp2Wgscf5NGvakL6rcxoDRfOTOcvu1rw+gNEKqWUpURyuMOM2xfA4vSSF6/jnpUFDNnd/GJ1ASqphASDkt9trA9NAEAo/w1+7xgtK4zj2c2NiEZeo83tIy9OR1WX8DtdNCudrXX9uLx+5BIJHx3qwOL0sSA3hmvmCzq1QZuHGZlRnDsthU8OdVHba+VAq4mpGUYS9Ap+ubqAhj6hbqm2xxZqA7j3kwounJE2pnJIp5JSlBTL9MxoNAoJ2+r6+WDU9EMjlxAMCms8nVKKzX38pH3hjDSa+u1MTjMwM0uY8OxqGCA+Qslt7x9Fr5JxwfTUUC3S7qYhvijv5t6VBTQP2DA5vLy0o5mAP0B2vA6DRs5rl0yhtteG2elle10/q0qT2NM0yNOb6jljcjLnTElBJhXz/JZGnF4/q0oSaOy1khqtYUFeNLW9Vk6flERSpAq3L8DRdjPeQJCECGWoJ3NCop5kg4qH19fw4rYmZmVFMSXdwOMbarlrRQGPfFnNHcvyWF/ezdlTU0iP0mBQy3lyYx02j49Pr5tNhFrGVfMykYhEGNRyqrotPP89jaDHN9adO2B1kxev5ZSyJAKBYNh0YbSrUSYRMSXNyEUz0/4hkjVgdXHH+0fZ3jDAbctyx7gYZ2VFkRGlRSIR8cSZJSNVSj6W5McyJd3Ap4c7kUvEnDE5+UdV69hdPloG7YhFItKj1T/YIQnCNLLf6kYll/xLq3v+U9A6aOfLih421fSyOD+OFcXxpBr/uQyt8XRzc3KEih+Aqm5LmLPXFwjy0LpqfnNKIU5vgLx4XVgAb/o40SH/6Bryp8D3/z7+f8cJMfxPhGNiuvRb3+f06dnsaR4KS18GuHtFPo+MSny+cm4GZ05JxmTzsLG6L6yr7mfzM5mVaUSrkPG7r+vY2TiIQS1jdUkiU9MN3PVROQ6Pn6wYLadPSsLrF6ZMw04vOoWUp0YmVnKJmGsXZFGYqMfi8uILBNHKJfzqsyoGR60WHzu9mL2tppDmQywSUt3z43W0m5y8tacNuUTETYtzGHJ4WF/ezebaAaRiEc+dX8bvv66npuf4NOVn8zLZUtcviPyL4nhvfwfLi+J5e28bK0sSeGFLI74R990vVxfy0BfVePwBbl2ayyNf1rCqOIGsWA1pRjVyqYT7P6vE5PCwpCCOBXkxvLqzZUS8fhw3Ls5mQ0Uvp09K4ki7mRSjmpJkPe/ua2dSmpGnvqknUi3jwVMm0Gl2Ehj56P92VMkzCNPFp86eyFV/PRC67aHTJoRExiBcYSZEKpmabgytdu5YnkcgGOTJjeFC69PKkpCKoMfqDoWF3rUinyc31rK0II7GfjtdZicvXDCJm989Eppy3rQ4h9peK1kxWialRvLOvna+qe5FKhZx5uQU+qyCs9CglpMUqcLi8grZYS0mqrqHuWRWOs9uaiBaq+Celfl0mV3c+0kFpckRxOgUrJgQz7fVfXxZKaw4V06IZ0F+LHe8L4jRZRIR1y3MxuML8MctjUjEIp49r4x+ixudUsr+FhMapZTXdrbg8QdYVhhHYqSK13a1hH7325bl8uTGOkQiuHN5Hi9ua+LSWel0mJ2o5VJqeyycOSWFQZub5Eg17+5vZ2tdP5fPyUAlE1Pba2NWVhRxOgUmp5ekCBWXvBYeHnvShHjahxwY1HIcHj8zs4wYNXL+vL0Zq8vHyRMTyYhWo1FI2d00RJRWzuK8OIIEidMr2V7fj8MTwOn1I5eI6LW4OGdaKhe9sjc0PQK4ZUkONy7OGZc8mR0e3tvfzqbqPubmxrC1ro/F+bHolDLahxxMTDUwNd0wrrOx3+qi3eREr5SSEa1lZ8MAF72yFxCmeneelMdHhzqp7rawtCCOm5bkkD0q56vT5MDlC+D2+rn/s0qmZkQRCATZ1zLEI6cX/+AJt33IwQPrqthY1YtIBGdNSeGWJbnER4wvpm4fsvPnHS28v7+d1Cg1v1hVyMzMqP+zJ1WL08s1bx5g56i4kPm50Tx73qQQKfpHYHZ4eGlbE89vbSQQFKbgz547idx44b367HBnmJEEBLPTyaVJvLG7lbw4LS9cOCU01Wzss3Hxq3tD55wYnYI3Lp9GXvxPL+z+IbQO2vniaDffVPeyKD+W1SWJpP8djluA5gEbHUNOorRysmK0/5a8tRNi+P8yCNZ9KVbX2GBF8agv6NPKkkgxqLn1vSPMy4mhJDmCGxdn4/UFeXNvKy9vb0YmEfP+vnbOn5GGyeFlVUkCDo8Pq9vHlXOFLryJKQZ++73Jzq/WFPKHcyZicniIUMoIEOTqNw4QCAoEaFN1H9csyGJDRQ/VPVZmZkURqZGHCWsDQXhlRws3LcnmkfU1/GpNAXnxwjpyT/MgC3JjOX9GOgNWNx8e6GRiSiSrSxJ5bnMDTq+fjw51cuuSXF7f3cK+FhOL8mNxef2sLk3guc2NIbG8w+Pnd1/XcfuyXDJjtRxpN/O7s0p5Z197yPmYYlTx9DkTqe21se5oF4fazOMeX38ATpuURNOAnSSDmsPtZmxuH5fOzsDm9nPbslxe/66Vml4rf9nZQpJBxZ3L88Y8jtsnRDBcvzCbmh4LhYl6bN97Pl8gSJ/FTdSoE+fRDjOTUg1jwk13jkwmRkcdrC/vZnZ2NDMyo1BIJdT2Wnlzbxv3rszn9g+Ocv6MNCamRLC5to+vKno4Z2oyCqmIaxdkEwwG+bqqF7PDy6riBDz+AJtq+nh/5P1bXhjHQ6cWc91bB5iUauCSWekEAkGcXh+PrS1BLhXx8PpqChL0rB+lEfyivIe0KE3o9Xv9gji8Y2Tdt7YsiWc3NVDZZSFKI+dXawrDTgYbq3q5cEYal42UVAcRIiGOxYm0DTmQiEREaxXolVJe3dXC2skp/PbLGs6eksIBi4mtdf2cXJrIvpYhjo5ElHxd1cuq4gS6zE4W5MeMeb921g9walkStT0Wblqczebafqq6Brh2YTZSsYg/fFPPxbPTufuj40T5rT1tXLdQcKb+/uxS7vzgaGjiNysrisQIJW9eMZ239rRR2WXhrCnJLCmM+5sTqki1nCvnZpJqVHP1GwdZXhTPppr+sEnpjYuyuXFxTkiDA1DVNczVbxygbciJXCLmnpX5pEUdzwazun386rNKlhTE8tj1c8KqYEAQQbcPObC5feTG6fjNKROo7LIglYg4Y0oyWf/D6vCb6l42jpgGgkGhpWJWVhSnTEwa87P+QJA/72gJEenqbiuXvLqXz66fQ0HCv/eE/u9C84A9jGQBbK0boGXATvGo7sm/F5FqOTcuzmF1aWLIdTg6ay07Vjcmhmd5UTzbRyrGanttbKvrDxGtrFgtb185g5puC/5gkIIEPWn/5uR6q8vLLz6pCF1MHmwzs6NhgBcvnPw/9oYew66GAa58fT92jx+xCO5ZWcAFM9LGNbD8N+EE0foXYFNNHyeXJob17GkVgmj31ycXIRYJadFv7mnjktlpHGw1h+INtAoptyzN4eH1Annqtbox2T2cNz0Vh8fP23vbQyL3mxbn8NFIMvkxNA3Y6bO6Q//plFJ0cimnThTKqRUyMfX9Nh5aX82c7GgeOb2YTw51UNc7toS63+bGoJbz4KlFRKhkPLy+mn0tJvQqKfGRSo52mMPs7pFqGZfOTuePWxpRSMXsax2iuttKdbeVVKOKX64upNfqJk6nICdOR2lKBMEg1PZYSY/WUNVlIRAM0mdxsXfUCap9yMlXlb1IJZBq1LC5to/TJyWH1faoZBJKk/UcbDNjdXl5dyR7a0/zEHuah7hpUTZmu4frF2YTq1Nw5pRk/EGBMJUm6znScVyPs6o4gee2NHDOlBQOtQeo67Fy+qTkMc7IkybEs7VO0NxNSo1kUX4s9X02LpstiLlf2t5EIAgFCXo+P9JFbpyWLrMLm9uHxxfgklnp1PVYKE7W8/HhTloGHDT0W3npoim8vK0Jh9sbIhsfHezinpX5fHK4i8PtZgoTdFy9IJOH11dTmhJJqlHNSRPi+Kqil6YBO15fgBcvmMwrO1q49LX9SMQifrm6EJlUxLv7O1iYFxsmrj+Gxn4byQY1jf3CvyVGqAgGgzx06gR2Nw1S3W0hK0aLLxAYV+N1sM3ExJRIXtkpfC7i9UpuWJTD776uQy2X4vL6cXh8uHwBLpudgdcf5JYlOayv6AmttNOi1GNcjOsrurl2QTaMM3/Pi9cJ0SZTU3l1ZwsRahnTM6J4aXsjd51UwDULskJBv8fg8gawOH2IRPDgumpWlSSGPjO7Ggep7rEyNyeGB0+dgC8QHLcc/hgCgSDDTi8ahSRkNsiL146Jgnh+ayOnlSWRMUJ+7B4fD6+voW3EuerxB7j/8yrevGJ6WM5aICh87jNjtIhFcKjNxPsjZpf5eTG8vbeNox3DxOuVPHNeGaeWJSH5kROm7+fzARxuM49LtOp7rby/P7xz0+sP0tBn+6eJVq/FyYFWM039wmNNSjNg+A9wzB0z9YyGSMSPPr4/BIVM8jePW0GCjtcvm86jX1XTPuRkVXECAK2jMtxqe8K/s1OMalKM/3sl3S0DjhDJOobdTUM0DziYmPI/v5cDVjd3fng8ligQhIfWVzM9I4ri//LS7hNE61+ATrMTi8vL7ctyWV/eQ1q0mvk5MVR1WzA7vLh8fhr6bKwqiafP4g5NIgBsbh8fH+rkjJGGeIBXd7Xw1NmlfF3VGyJZErEQiTDaATX6MY7Z3wGyYgRh+qdHusiI1nLDomzEIhGtg4Il/ZoFWRQnRaCRS0IfcoCZmUYa+228sLWJzGgNp09OZtjpZVZWNHU9VrbWhQswzQ5v6AvozCkpvDxChAxqGSeXJhFERK/ZxS1Lc9EopGyu6eODgx1MTTfQaXbyyJc1RKplnF429ku+vHOY25fl0m9zI5dCqkHFE2eW8MGBDvRKGdMyjPzluzbWlCSEETAQnFgdZicJkSpSDCque+tQKO7h7T1tPH3uRLbXD1DROcyUdCMOj08gh1FqihP1bKsf4JuqXp4+p4yXtjfRPGBnTUkicqmYTw93oVdJWZAXGzaxSo9Sc+HMdD473MlV8zL4rnGQ5gEHV87LJEojRyEV09xn48mv67lhYTa/WlOIXikjRqdAp5By89JsmvsdzMiMpq7XyovbmnhmUwPPnV+Gxelj0OZmb8sQ505P5euqXiwuIfk+I0pDr9XNNW8eJNGg5LaleUzLjGJP0yAHW4c4bVIyh9pMrJ2UNEJgwwlIRpQm9GW5IC+GDVU9rCpOIEIlQy4Vc+vSPCq6hkmJVJIVM/aKuex7qfE9Fhd9Vhc3Ls5mYkokOTEatEopN75zOOSyvW1pLh0mJwvyYviucZDxhkbHsrcOt1s4fVJSaF2rV0k5eWIiCREqrnx9PyAYTSamRHLdwmyqui1UdJgZjyeJRcIUp2vYRdT3gj2tLi91vVYCAaFQ+G8RreouC+8faGdjVS+T0gycXJrAroaBMdlvIJD6Y2TS5w/Q0m9nd9PgmJ8zOTy8cfl0/vBtPQ19Ns6aksx501ORiEWUd5g550+7QxPTryp7uHN5HlVdFnosLl7Y2sjCnGjK0owUJUXg9voJwt+cCMzPjWFHQ/jJsWScSc2ww8OnhztJMqio+x5B/2d1WlaXlwfXVfP5qP7M0dO/YDBIRecwFZ2COWRiSmSIrP6rkRGt4YzJSXxw4Lj28ewpKeMaEX4I9b1WttT20z7kYFFBLFPTjaES8vEgEomYmRXFG5dPx+nxc7htiKveOBT2M/Nzx053/zchlYgQjfxNhd3+I0mp2ekZI7cJBqHP6gL+PqLVMmCnuttCEChM1I+rYft34gTR+hdAr5QSq5OTGqVidlYUu5sHueujcu4/uQiRSERBnI7JI2GNV8/PGnP/hj4b1y/I5oZ3DhGnV3DOtFTcvgDTM43IpWIOtJq4bmEW2+sHWFOayP6WIbRKKftahhAhwuUVgg1PLk1Ep5TSPGDH7vYJCexf14auoEtTIjh/eioKqZhAMMCja0t4ZlM99X02FuXFcsbkZD440MFNi3OQikUcbR/mhkU5tA3aqe21jfsHlBip4okzi3l3XwdWt4+p6QZmZEZhUMt4/bsWUo1q/rhV0GdNTInkhkVCCGRJUiR6lRS5RExxskD6EiNVtJscuLyC/ueBdVXU9tq4bmEWdo+fDVW9zM6KpjgpArvHR2GCjvgIJRKxiMD36mNkEjFef4DdzcKxOka0jq3dlhTEMTk1kt98UY3T4+fBU4t4/btWvhm54q/qtrCv1cSvTy6kfcjJltpelhTG88IFk1DLpdz14dGw52sZdHBFrJbfnFLEuqPdfFnRww2LhFVV66CDiSN1TKuK41HKJYJY2+1DIhZ0cJ0mJ/kJOj7d145MIuLGRdlolTKu+usBLE4fGrmE35xSNELg7Li8AQ60mnhsbQnPb20i2aDinKmpvLytiTOnJrO4IBaXN8C2un6eP38SkSopPn+QqekG9o2UDM/INDI1w0iMToHT66em24pWKaWmx8p3jYMsnxDPoyMaw3tWFnCozcySgli21PbjCwTJjFYzJd3IG3uOx3FEaeQUJOh5dlMDT3/bQEG8jgtmpIW9R3/5roXLZmcwaPcwJc1Afa+NyWnh2WtrShPZXj9AeecwL180hbnZ0QSCQfQqOUfaTAza3EjEIm5flotSJmHQ7qHfGuSD/R38bEEmwSBhtTxquYRItQy3L8DE5MjQBA9Ao5CgkUtYd7SLYFAonl6UF0uiQYXL66Pf5kErl9I2aOf339aHHF8dJid7mwY5b3oqvRY3WTHasMddOymZ1Cg1NreP13e1sK9lkIkpkWGxEABJkSrKUg28eOFkBm1ujnQMc/dH5WTHaonSKHD7AszLiWZymgG3L4BGIWXFhDg+P9rD0Y5h5ufEcMGf9/DH8yeN/M1pmJsbTVGCHolYjH4UMVpWFMfWur7QsVlTmsC0DCMH20xUdVlo7LdRlBhBVoyGN/a08cApRdzxwdHQSmtpYSyFif/cNKuhzxZGskCY/p0yMYmskZzB81/eHXrOhJG17r/DUamWS7ljeT7zc2Mp7xymJCmCaRnG/9EwMBotg3Yu+POekMv19d2tPHX2RE4d54Ly+9ApZeiUMialRXHLkhye39qIWCR8R0zLNP7Dv9e/AhnRas6fnhoWx3PWlJQf3YoQo1NSmhwR1moik4hINvx9U7raHgvnv7yHgREzUaxewRuXT/+nM+3+GZwgWj8xnjl3IgMeKW/ubmVfi4mzp6ayqVbQQMjEIhr6bGjkEkR2L4GgMD7+/lXAssI43tzTilgk4qp5mTz6ZU3oS2ZxQSx3npTHrz6tJFItY1VxAo39VgZtHm5ZkktpSgS/21jHNfOzeGl7E4N2D4UJes6eoqKiYzhEsgCOtA9z2sQkDBoZN717BLfPz69WF5EepeFwu4lr3hSCIr+t6WNxQSx2t49b3zvMb9eW8O6+dtZOSQlL2I7VKRiyu+mzuClLjaTT5GRBbizrK7qJ1yuZkm4M+/nD7WbSo9VkxWio77Ny78pCOk0OtHIp1y/M5lC7maWFcURp5PQMu7h6fhb1vVYquyyhk9v2+gGmphlYXZpAfoKeYMDP5XMyeGHr8anWtHQD6dEanttUj1QiJj1KHRYzMOz08uTGOmZnR/H42hJqe624vYEQyTqG5gE7jX12fr2uCgC5VIpIFGRVcSKucVxqJoeHnFgNESoZ1y7I4vdf12MbCfE83D7MH76p566Vedz7UUXodn8gyFPf1HHDohx+/XkVdy7P43df13HJrHTu+7QyNMG0e/zc92klNyzM5toF2Wyp7edgm4k+q4ufzctAJZfyyo5mLpuTwa8/F3oMxSK4ZkE2j35ZwznTUimI0zElTSDCICRVy8QiXL4AQ3YPKUYVmTFaHlhXxcL8WN4aIVATkvQ09FpIi9YSo1MwLcNIfIQKggHaTeG29bOmpPDQF9Uh48biwjiGR9y1D6+vwRsIcNaUFLJjtWQFgyzKjWHI6SFKo6Cy20J1l4WCRD013RbahhxcuyCLvS2DFCboeeyrWnotbuL1Sm5aksO1C7J4d197qCInUi3jqrmZId3Rr9YUUt1tQSoWkxalRi4VMy8nmluX5bK1rp/6XhsrixNYVBDDPR9VUNNjZXFBLCq5hA8OtpMepaF5wM5T39aTEyv0D37fVt9jcTMt3Uj3sIt5OdEcbjdzuN1MaUokBfE6xCIRB1uFWiXRiAalx+Kiw+REJhFx98oC8kcE0UqZhB31Azy+sRaL04vd7WNlcQKzs6OIVMtDTRNiEdy3upAttQPMzoriQOsQZqcXs8NLrE7JN9V9NA3YOWtKMr/fWMcFM9M4aUI8Ro2CtCgNfzx/Ms0DdsRiyIzWUtdj5fXvWvnk8PEpzpqSBO5YlssLWxu5bmE2Xn8QmUTE9Awj0d/rcfT6AviCQVTjTNEqOof56GAHDX02zpySwtycaDzj9K96/cL0z+cP8MZ3LWFape5hFwfbzP+26Io4vZI1pYlhVUt/D6q6LGPCpX/3dR3z82J+9Ho0WqfgxsU5rJ2cjAjRf2Tav1Im5abFOczKiqayc5iCRD3T0o2of2ByNxoRKhkPn17Mbe8doabHilEj57dri//HovTvY0NlT4hkAfRZ3HxT1XuCaP1fQmWXhT/tPr6OOdpRztPnlPHW3jZ0SinTMwwc7bSQYlChlkv49FAnty/L45UdzQzaPczPjebUsiS21PazZmISf9raFPYl8211H8uL4nH7Apw/PY17Pi4P/fuRjmEeOrWIS2alc9O7h0O3V3VbeHZzPZNSxxbryiRiHG4/F89Ipzg5gi8runliYx1zsqPDqnG+re7jhkXZ7G4aoqbHwr2rC3lrdyv3rMinecBOXIQSmUTMH76p5/EzS2gZsLMoPxa9SsaUdAPdZhdu79hMoIOtZkpGYige+6qGiamRHGo3h9ZXG6t6OakonvwEHV5/kElpRv64NXw1uK/VxMzsKB76ooYXLpiEVCzit2uLqei0kBalJl6vpH3IzqH2Ye5cnsfLO4T7T0yJZGF+LHqllMLECLbV9jM1w0jOiBBVLhGPOQlEqmXcviwXrUKKPxgkTqfkyY21nFaWFOYajVTLKErUc80bB7G6fZw3LZVlRXFh4ZPHCF3XSHTBMQRG8q9AENL//KQ8bG5fWAAtCEYCq9vHH7c0csfyPA61m7B7/FhdPkqTI1lTmsgftzSEPgeBIPxpWyO3LM0lUiVjR+MAz486ljKJiOLkCJr6bWyo7MXmFiZnVy/ICqvXidEqKEk2cP/nlaFVWIxW6Nrc1zLEVfMyeXtPGx5/gLgIJQ6Pn0kpkawsSeCrim4OtplJMqi4fXkeImBrbR/+kSqiFIMKvUpGZdcwv/+mnluX5vLevjbm58VxalkS7+/voN/m5rZluaGTV4/FxbPf1nPe9LSwHkKzw0tdrw23L4BaLmVH/QApRhVfHO2h3+ZGr5Ty4bWzyInVkR2jI82o5k/bmthe38+pE5M43GFCr5Tz2ChX6srieKamG9nbPMS+lqExfZAAKrmE0pQIzntpD5FqGWlRGt4/0I7D7SfRoArlmQWD8MQG4bMTH6FkQW4MKUY1ZqcXhVRCu8lBv83NWVNSyIrR8vGhDr6q7OH0sqSwXLVAEF7Y2shV8zLJjdPy4rYmHjmtmI2VPXw8ksTf2G/jYKuJy+emc8/HFcgkYs6cIiTG61UySlMiR15TkNo+K58dCQ9J3VDZS0lKJDU9Nmp6jmfwLc6PZWJyJCqFlGAwyL4WE3/a1kj3sIuLZ6WxtCA+1LfY2GfjvJd3hy4WttUP8NCpE1heFE9enJbaUSvJlRPiUcslrC/vIVonBN/uaxkKfS/Y3GMlEz81Bm1ulDLJD674fgwCwSDLCuPIjtUyYPOw7mgX/kCQv9fwLxL9/dOdfzdidEpWFiewckRT9veiKDGCVy+ZQtOAHYlIRMLIhuLvwei8wGNoGRx7278TJ4jWT4ztdeF6h0BQOKGunZTEBwc7iNLImZZhpLzTwi1Lc3l1RzN/2tbEJbPSmJRmoNvspLLTwvKiOJwe/5gJAQjVJHqlFLfXH0bCAHotbkQi0Zjb97eauWhmethtl8/J4MODHaF8pmMW/A2VvXx2pIt5OdGhDKXREItExGrl3LgkhwOtJmL0CpIiVTy3uYH7Ty6kZ9iFxx8kRqdgfXk3ZamRnDwxkcZxQh1LkiMwamSo5JLQ9O2ZTeEi4q8qe5iTHYXV7aXH4hwzAZSIRRQnRfDkmSVYXF6aB+y4vX5WFcfTbnKwvb6fDw92smJCPCXJETxyWjHb6/uJVCvCJmyXzk5HKRWjV8qwuX2cPTUlzNCwKD8WrULKu/vaaR/REly3IIuGfjtZsU5uWJTN3uYhEiNVrCyO58/bm7lgZhoVnRb+8l0rPz8pj1uX5uILBELjdb1SOuYkI5eIQ3Z5mVTM1rp+fjai7RodyaGRS0IRFUc7zMwI2fpNLCmIY1JqZBj5A2FSoJZLidLKWVd+XEybHavlzMnJvLi1CYfXz2Vz0jnSPszWun60CinTM4xMSo3E7PDS2GdlY1VPWB5bv82N2eFhVmY0GdEa5mZHY/f48PoDZEZruGiW0OupkEm4c3k+nx7ppLLTTGKkklnZ0Ty7uQGHx49OIeWBUyfg9gVwePyYnV7q+uwo5YPMz43h7GkptA068IxkvZ05ORm9SoZaLkE2jnC5e9jJgtwY6vuszMuLYV/zUCg+w+LyheIbvmsa4OZ3j4Tud6RjmOfOm8SN74TrYtaX93DT4hz2Ng/x2ZEurluYxROj4jyWF8XzVUU3ayel4PYF6LW4Q4RQLIId9QMUjLLcu30B3tkn5M31Wtzc/N5hBqweLpiRSppRzRMb67jrpHxue//4a9vZMMhdK/Kp7j4eFdNrcZMbr+WuD8u5dHYGrYMOPvveOm7Q7sE38r3w2q4W1pQmjtFuVXRakEvEIf3c7OwopqUbCQSDeMed2nppGrRjd/sRI1wYFCToGbR5uPODcn5zcoCLZqUDUNVjGaMpfW5zAydNiOfJsybyyaFO9jQPcdKEeFYUxXH/Z5WhgGcQ2hVaBx10mp2U/gvF0d3DTj480MGbe9pIilRx27JcZmRG/cPF2wkRKrqHXWys6iUxQsktS3OJ1sjGjfr4d+AfDdH9W7C7fdT0WOizuEkxqsmN0/3D3Z4mu4envq3n3X2CblmrkPKXy6aF5dT9T1gxIYGPD4WbacbrMf134gTR+okRq5dTPSRUkpw7PYVgUChztrq9FCdFsLW2n6+r+vjt2mKG7B7uWpGP3eMnGAzym8+rQmREKRPz6sVTWF2SEFaVI5OISIlU8as1hQzavdy8JIf2IQcfHuxkXk40RzuHx70CSDOqidEpOG96Ku/taydSLaMgQRd2Ig4G4e297SwrjOeTw51sqx/guoXCFGt5URy7mwZRSMXMyIziy8pearotTEyNpLbHyrObGnjq7InoFFIeWX841HN3cmkiDX1W5uVGo5JJOHdaCu/sayc4kh1z+iQh/PEYQVX8jT9QsVjEW7vaiVBJWV2cENJ0xOoU3LYsj2c3NdBldnHJ7DSmZUbx+q5WttYPcMbkZPLj9fx2rZFhh4evKnrIi9expDCeq14/EPYcf/2ulbk50bz+XStzc6MxOTzcujQXk8NDpEpG26CDIIRIFoDbH0CnkLKhsoetdWKKkyKo77Oyu0nOzsZBdjYOhhLiN9X0kRmt4dMjXdy+LA+vP8CN7xzm6vlZvLm7leZBBwa1jJ/Ny+Iv37UgEYtYMSGew+1mXtnRwu/OKuVQu5mWAQfb6vq4al5W6P1LilRRkqTg40MdrC5N5PLX93PG5OSwPkYQiF2nycmw00NurC7kOju9LCksAPbpbxu4eUkOGrmE3U2DbKgU1t9SsYjHzyjh7T3hZdYAQ3YPEomIq988iD8QRCEV84ezJ3LDomxuee94OfjOhkF+d1YpVpcXu9vPM5saQlMhq9vH/Z9X8sw5ZQCUdwzzs/kZDFg9PLu5gWBQCP+dkx3N7cuFSXD3sAuxCK5dmB3SnE1OM5AUqWJebjQpBhXb6weo6bZQMaqjU6eQEjvSwvDevnA3HYDF5Q3FkESqZZwyMQmNXCKsHSViOkxOcuN03H9yIX0WNwqpmOoeK+/s62BWdgwTEvVhzsyVxQkEgkGkEuEYPrOpnrYhJ6lGNSuK4rn89f2hY/TC1iYunJHGpNRIqrrHujuPtJvDNGCLC2KJ1Sp44JQinvqmgTk50WgV0rCgUxDWYNfMz8Li9IaaKFoG7FT3WITu085hGvpszM6Owu0NkBChCq0o71ieN6byaUFeDNtq++mzuWnut7Olrh+RSKj8SjaoeH13KzMyjeTG65GN872kkInpMjtDMoWMaA02l48eizuMZAG8tbeNO5fnkR+vH1ewD4IDtHnQzpDNQ3ykkpR/YAL0/v6OUD1O97CLi17ZyyfXzqYo6e8nd8NOL7/5vDLUDds17OLJjbV8cu2sv/ux/hkEAkEOtJr46+4WLC4fF85IY2ZW1LjVX38PXF4fL29vCn1GRCJ45pwyVv+Da9bKLkuIZIEwuXzky2r+csk0NMof91pnZEbx27XF/OGbekQiETcvyWF6xv+unu0E0fqJcfLEJIozAqRGqdnVMMgnh7tQyyVctzCLxAgVl8/NQIwIhVTMZ4e7mJkdzba6PubmxIRIVlqUmuWF8QzYPFwwXRDCb6jsIdWg5u6V+ZR3WnhslKtweoaRX59chE4p5db3jjBk93DJrHT+8l0LwaAg/L3zpDyqu4dZlBfDpNRIpGIxQYKcPimJVKMar184MX55tIsItSCWjVTLiNcruG9VATKJmIouC1fOzeTR9dXU9NpIjFAyOd3IlDQjE1MiCQSDmBxeZmdH0TrowKiVh8Inq7os5MfryIhSc+eyPBIiVRxsM3HFX/YjFYu5fXkuJ02II1anYGZmFN+NcmOtKUnA5w+GTiopRjU3Ls6mddDBygkJvLKzmUtnp+P2BggE4e6Pj7v/Hl5fw32rC6jusTIp1UCn2UVFp5lkg3rMWtAXCHKg1cynR7pweITk8vs+qcAXCBIkyHULshkY1edXlKgnMULF/ScXcv9nVVjdPmp7rFy3MJsXth5PGv/8aBcL8mJQSCVoFBIW58exvX6A6ZkGBmwe9rcMceW8TOL0SiJVUg61m1leFM/UdAPv7G3D4wuwsCCOq984iNPrJzdOy0OnFXPfJxUM2D3olVKMGgWPb6zl+hHBfTAInx3u4s6T8nhrT/tIbIOKGxZl8/D6Gk6flEQwCCsmxLOzcYAei2uMW2hnwwBnTk7mzlFuSl8gyNObGrh5STYisYgp6UZ8/gDfVPWQHavltveP4A8EWVIQy4SkCFqHHHSbnWMe+6uKHnyBAKdOTBqzejM7vAzZPUxLN7K1rp9lhXG8uPX4BUFVtwWTw82mmv5QYnwgCM9uauD58ydxyax0PjjYyaF2E8kGFX6/kFJ98sRE0oxqYvVKPL4AcqkYuURM97Bz3PBJr8/P1HQD7UNOLpmdzp+2NTFk95ARreHOk/LoMgsho49+2UrTyLpCq5By9tQU5BIRdyzPY1+riYOtJoqTIshP0PGnbU28sLUJhVTMLUtzidfLidOpaB1yjDlGm2v7WJgXM2Y6DcKq1uby0ToorOjPnZaKWiFlVlY0v/u6ni+OdnPhzDSeHTUdnpMdjUgEDq+P9BgN3kCA+i4rF/55b2hSmmxQcXJpIi6vn4IEPXd8cNzk8ebuVu5ZWcCOhgGGnV7m58aws2GARfkxiIAtIy7kYBA+O9LF/ScXkWJU02VykhuvpzAhguRIJR3m46vyX64u5M87mkNusw6Tk+31AxQljRXYe3wB5uREkxs3vvje6vRyqN3Ei1ub6B52MeTw8ML5k5mRNbbb8m+h3+oOm2KDMAWu77OFES2310+H2YFcIvnBSIVeiytM3A1CtEhDv520aA0q2b/nFHy008x5owwFW2r7+fPFU1hcEPdPPW5Dny0Ujg3Ce3/vJxVMTI38h9aco/tSj6G224rV7f3RREuvknH21FSWjPxuUdr/ncnhaJwgWj8xbnn3CGKF8AFbkBfD2VMFK/Cbe1rpt7pZWZzA6WXCyWVOTjSba/uZnxuLVCLixsXZJEQoR4p8WxCJ4NxpqZw5OZk52dEEEfQf318H7WkeYk5OdIgEHO0YFkp7T5mATCIiVqekZ9hFYqSajVW9vDeS9VOcpGdlcUIoGV0sgodPKw7pP25Zksvmmj52Ng7y+BnFLMyLxmT3UDPiOLxsTgZPfVPH1fOz0CtltA058foDRGsVLMiL4e297ZwxOZmsaA1xOjnvHuhkSrqR5n4r3RYhGXx6hkCqHvmyhlcvnsrGql7On5HC7OwojnQMkx2jJTFSiU4pDTnRPj3chUwi7O/PnJJCQoSK+z6pZGlhLA7P2PVGQ5+NwgQ9f/imniBBbl+ex9F2ExnRmrB9fopRxaDNzezsKFRyCQ+sq+S2ERdbVowGm9tH65CD25flUpwUgcnh4YujXRxsG+bnJ+WhkEkwaGTc+UE5plGJ4mqZFK1CSnyEEpc3wOQ0wXmWHKnmyTNLeG9/B/eMpM7PzIri9LIkJCIRN7x9iEAQblmaG3L7AdT12nhrbxuPn1mCPxhEI5Py3BbhhKqQiEMTB7cvwG+/rOWkCfHctix3pIzbybDTyzdVPTx4ajFHO8xMTTfiD4w9bvF6JSr5WEFzh8lBrE6JQS3nuc0NKKRirpmfhdvnRyIWMS8nBpFIxFPf1BOlkXPShLFje5VcwuF2KzKpOFQQfQxRGjntJgd58TpmZUchIsj1i4QMrW11/RztHMblDYQyxkaj0+zkD9/Uhyaqf9zSyLnTUug0OXl3XzsXzkij0+xELBJh1Mg50GoiLVrNyRMT+aqyJ5RdZVDL0Ktk3Lg4h0Gbh59/eDQUqdA8YOfdfe2cVpbIze8e4cwpyTyzqYGkSBUXzkzjtZ0tvLuvnZlZUVwyK53D7WbKO4ep67XROujgrCkpRGvl7GsZElxZsVos42iOkg0qGvrtzM2ODsvVUsrEzMyOYmF+DGdMTqaq28LhdjO1PcIq+ZaluTywroqd9UJQrsPtJzVKzcFWE3d+UE6yQcXZU1No6LWxvqI7bB3dYXLi8Qd4d187V8zNCHs9XcNCkfsjp03gs6PdPLupgXOmpdBjcY/phQRB+N4z7GR6hpFhh5dOs4Oblgj6xrZBO0VJkWTHavjFJ5Vj7quWSUg1qsLMO6dPSh43hNPq9LK5to8XtjaikEk4bWISrYN2YnRKfvlpBW9cMZ1Y/fhJ99+HUiYmQa8cU9itHXWSbxt08MTXtXx+pAuNXMpdK/I5rSxpXC1XxEhky+jHE6QPQbbW9rGsMOHfkqq/p2loDGF/dWczC/Ji/6lMMJPDO+YCYdjpxeTw/ENEKzNajUQshE8fw6qShH+ILP0nEKxjOEG0/oXYUtvP0+dM5KZ3hbVJhErG+vJuDGoZMzKMNPTZKEuNZHp6JBKJmDs/OMraySlhjrlXd7aQEa1h0Oam0+ziUKsQCHmo3UyyQUVTvx2b20dSpAqzw8t9qwuo7bFxuM1ERecwGdEaHvuqNvRlOic7mlMnJvHJ4U7KOy3MzYlBIRWzuiSBJIOKfpube1cWEAgEOdoh9PCdMSUZhVTMExvqWFGcQF6cjrOnJtMy6OD6RTmhK30QpmCXz8lgT7MJm9vPn3c0Y1iWQwAN6VEaWgZsLMyP5XD7MCaHh1idnJ+flMfjG2rpNDvZWNVDkkHF81saSYxUsaN+AKfXzy1Lcvj1mkJe2NbEuqPdqOVSHj6tmBe2NISs6bubBML5fcilEp78uo6LZ6bz3v52XtrWRKpBzdlTU9hW18+hNjOT0oRk+199Wsm1C7N4dlMDd56Uz6eHu2getHPjohx+s66KhAgll8/J4E/bmjA5vKwuTeC8aWk0Dtjps7nRKnSoZRJGq9rOnJI8QqDtvLWnNUTC4vQKLpudEZYe/l3jIJNTDRQl6ilI0FPZZRnXRLCrcZBrFmSxva6fCYkRXDEng0tnZ6AZ6Z87tjLy+AP0WIST1ZDdjc3l4zcnF+H0+jnYZkYpFeP0+Ek2qsKKlpUyMWWpkQSCjDEFLCuM43CbOZTB5fYFeOrbep4+Z6KQ5RWtDUUzDNo9lKVG8vGhzhBRkEvEFI6Unpd3DPPQaRP45aeVDDu9GDVyrl6QxTPf1mNx+ciJ1XLOtBSe29yAVCziwhlpXDwrDY8vwNR0Q1hmF4BRIw+RrGP44EAHz5xTxtVvHiRCJeNoxzCxeiVOr5P6HisriuORS0T8+eIpdJldSMSgkEq45b3DPHjKBHqtrhDJitbKuXBGGt5AEJ1Kxt0r8onSyJAsyUEuFfPEhtoQ0f2uUVi1X7cgi2GHl99+VRPSZXYNu5iYEok/EOTXn1dyx7I8ZmYa+W5ED6mUibl4Zjp7RwJ3Hz29mCBB/AGBpA7Z3TzzbSM9FhdT0gwsK4rjuc0NXDo7g/peKzcvySUQDNA26GRRfgxDdg+zsqKYnRNN+5CDLpMTsRhquscGFQ/ZPUSoZLi8AfQqaZiualKqQTClpBqYlxNNYoSSB76oZmVxQljIMAgxDJ8c6qTP6ubimenc+4lwMSESwbPnljEnJxp/IMjSwlhe2xU+RdKrpPx2bQmfH+nmaKeZlRMSOHliYlgq/jHsaBwIayg41GbmzuV5PLu5gcvmpDM4Uhb/Y6BTyrhzRT6XvLI39D4e+3sEgSC9v7+dz0ZMBja3j198UkFWjDbUGToacRFKHltbws/+eiD0N3TxzHRe3NbEmpJENtX0MiXdiEwiYm+zia+re9EppayckBAyKPwUUMrEJEQoOXtqCiIgM0aD2xegbdBOerTmH9ZspRnVYz4jRYl6Pj/chUIq+bucfn1WF70WN3edVIA3EGBzTR9GjZyfzcv8wcDg0Rh2emnos+LyBsiK0Qhu6P8AnCBa/2IM2jxkRmtZOymJrmEXarkEvVJKhFpOXrwOXyDIvlYzKrmEX58ygXfG0YrsbBikoc+GTCxiVUkCK0sSyE/Q4fQIUQYKiZhnNzeE9CB5cVruOCmP5zY30G9zh12x7mgY4N5VBaRFqfEHgyTolVw+Oz20utDIpWyp7WVqRhS9Vg/v7BNWYNPSDfy/9s47Pqoq/f/v6clkMum99wIJndBrkKYr9lUU1FVXBRvqirqKHb+6urrKF11d5bdrd0VFUYpIEaVDICGkkt77ZDKTSWbm/P6YcMmQrMuqwH7xvl+veb2Ye85czjNncu9zz3mez7PsgmSEgMrWLv68uZjMSB+MHhppO0WBS5m+tt3Kkep2xicEkhbmTXFjFy9sLkYIeGPRKP5nQyEHK9vRqZUsGh9LaWMXF6SH0mS2MSLKj3ZLD109DhKCDczPDEOlVBAX6MV7+6oI8NLy6tUjqG6z0G7pZWdJCz6eGhZPiMEpIMzogY+Hhr99X4ZTuG686WHeRPsn0WHt4ZbJcbRYegnx1qFWKrluXDQXZoSRGu5Np9XuihkTgnkZYfzzQBVFDWZumxrPqq2uFaNrsqJ59usC6SKcX2fiD3NSCDLoeH9vFbVtVlZclM6hqnZM3XbCfTxYe7AaU7edpTMS3Va6/PRaDla2oVS4Au2TQ7xpMtuobbdS3NBJjL+e26Ym0D2IozU03MgPJc2AAlN3LzEBeh78NJffTYrlxSuH8fgX+VS2Wlg+JwWlUkFlq4XEYG+Sgg3c/Pf9UrmZEKOOy0ZGcrTWxCPz02np6nEFsAd5sfKrAjqsvbx89XBe2FREVauF7LQQsuL8eW+ve4yWv5eWuo5uPj7gKqY9NTmI+ZmhbMhroMPSy50zEl1q7N29BBh0fLCvEqXCtdW2/kgdj12UjlMIcmtMkpMFUNxolp6aex2Ct74v557sJJJCvPndpDjqTd0UNZjRqZXcODEOS8/AlSE/vZY2Sw/+XlqEgP0VbZQ1d6FWKrh2XIyUfPD4unwK+iokZMX58+KVw/DWaeh1OlEqXNuTv5+awJ82FkqOV7S/J9eOi0GpcGWpnlqwfXtRExkRPuwvb2PxhFhWfl0gfTanqp2/7jhOkLcOU7ede2Ylc4vNgUCAcMWrhPp44K1T4alV8ZctJeTWdBBi1HHTpHhXP1z2CFxSEU98kS+JDgd76/jd5FjqTN08+3UBDSYbQd46bpuawIhoP97aWcboWD8pruqC9BAyI33IjPAlI8KH2AAv5gwN5Ykv8jlaa2JCYgCjYvx4cn0+12TFoFKCwKVd5tKG8yWnqh1w/Z5r263YnYKiBjM17SdXpoSARz4/yshoP8J8PVk0PpaSxi52ljSjUytZPjeVepONpe8dIiZAT4y/nq9ya7kw0z3up9fhJL+2g3dP2eoDqGqz4KFRolIqBshP/DvGxwfw6ZIJFDeY+yp6+BDWd8M2WXtZd6R2wGeON5sHdbTAJSz6/24cw87iZjRqJVuONZJXY6K0sYvFE1zl1TQqpVsc4//7oZyPb51Axk+ICxuMrLgA7E7BK1uKWTojiRXr8mnt6kGvVfH85cOYOzT0J62sRQd48dbiMTzy+VGO1ZnIivNnekowz28qpKrNyktXDT+tWoUdll6e+CKfL/slcPxxfhrXZkXhoT09QdyqVgvbixppMNnYUdREm6WHNxaNPuv1HgdDdrTOEAlBXmhUSnw9NVw5OtIt0DjIW4ePp4Y/bSpyPfFOT3SJZK7PZ15GGBvy3M8V6efJrtJmTN12pnQH8fi6fMr60lXVSgUvXDnMLei2sMFMYX0nicEG9pe7iyECdPc4+Mu3Lscn0s+Tx38zBEuvk9V9hZ4nJAQwNSUYIZzcMDEWfy8t1h4HTZ028ms7JJXkHruTrp5eHpybytG+8jm3T4vHZncFiFe0WkgLM/JSX6BkSog3G/LqpSxHm93JG98d555ZyS69KQ81jSYrHhoVM9OCcTqF9NkTmkOvbClm7cEanr0sg+ZO183ztmkJ/HlzkbRikhRi4PVrR1HZaiEz0oeqNisKhYMYfz0hRg/CunupbLVQ0Wrti/sIoKjezKvfljAtNYiJCYEkh9hYd7iWhCAvxsYF8MZ3ZaiUCqw9jgE30y8O1xLh68mtU+N5fmMhWfEBqJSurU1/g5YbJ8ZR027F75R6XxUtFuZnhjEi2o+vc+v45lgjkX6eLJuVzOGqNoyeWo43d5EUbGDp9ET+d1sJoUYPFk1wZUe2W3sJ9dHy0f4qwnw9uWJUFD0OQWVLF/dekEywQUerpYfN+Q181vcEHunnyZLpidJ28YkVrFCjjse+OCrpz+jUSu69IIVnvjqGydpLSog3U5Ndyu31HVauyYqmqMHM5vx6Lh8VRWd3L/vKW/ndpDi8dWqazT1MTgpkSlIQR6o7CPPxwOipIT3cSIOpm2nJwaSEelPSaGZTfgNO4eT6CXEsX5s7YIvj1Ot/XUc3ebUd4IS7ZiTR3t1DmI8nH+ypYEiEkdExfm4ioLdMiafZ3MMtk+PpdTi5dGQEnx6s4XhzF2t+KGd8QgA7i5slJwtc2/HTU4IINXpQ127lgTmpbDhaz/fFzW51LCtbrSAgNdRb+v31Jz7Ai7Fx/qzaWsJvhoW7fRZcztZLVw7jfzYU8EOpa2V2fkYY3h5q6aHr8d+ks2prqRRQ3WCy8adNhdwyJV7K0G239LCvvM2tskNjp43uHicvbCyS5rmp08bLW4q5d1YyzeYeehydvHDFMDw0Sg5XteOhVnHzP/ZLpaZ+PyWeV64ejtnm4PEv8jhc1c5LVw1nW2ET/9hVjlNAYrAX92QnMys9lHZrDzlV7RyoaOOTg65g9gAvrVSbNMhbx7XjYuh1ONl1vIUxsX7EBxl47dqRVLVZ8dAo8fXUctlrP0h/IyfKzhyt7SC6Xx3IQ5XtPPxZLsnBA1dN9Fo11h4HEb6eBHn/Z46WK4vZl4wI30HPOzLK160UDkCI979eMVMqFdgdglXbSt2OW3sdKBUKhBB8ckopte5eJ7tLm38xRyvEx4P39lQyLyOcN747uQNh6XGw7KMckkMmuRUfdzgFLV02vHWaQcMH+jM61p/lc1LYU9bK4ep2/mej6173bUEjLV09hPsOvqrUYraxs6SZr3PrmD0k1M3JApfW2AXpoUQHDHS0TNZeypu7UKlcD+GNJhvLPznC7rJWFAq4eFgEYXYH7+yudJW9+zdOpH0QLbdfEtnR+oW5eXIc4UH+5FS3E+ilIyrAlXnT/4+oqdMmPbHb7E5WbS3h3lnJLBoXS7BRR0KQlxQY73LYFFL/veWthPp6SI6W3ekqMJwUbKC4n9ZRXo2JzEgjGpXSTVsIgD55BH8vLRdlhlPe3EWknyepYd7k1Zj4obSFmAA98zMjOFZn4rXtpbRZehkSbuT3U+JxOARV7VYaOmyMiQ3gjvcPoQCWzUrm66MN5FS2c3VWFAuzosmvPRlHkxnpM6BsD7gEDo/VdrLuSC0LhkeQGORFUrDBbTtACHhjx3H+MCeFZnMPjSYbYb4ePHZhOp8fqXW7yRX3PUH7eGp4bmOhpHwe7a/nmqxoPDUqhoT7EOXvRWWrhdauXlJCvVlxURrflTSzrbCRSH89j16UjpdWxYd7K7hoeDifHaoZtPaZn16Lh0bJd8VNXD02iiBvHY+tOyrd9DIjfRgSbmTX8RZp2xZcF9qsWH+eWJ9PXo3LUa5us/LQp7ksm5XMnzYWMT01GI1KQYBBy1+uHo7dAfd9fFhy9oZF+jA/M4z95a2u5AUPDzosdpzCVRKjrLlLcrJOnP9wdQfpYUYpm83a66C71+Em8mezO8mpbOP1a0fg7aFlfmYoBXWdXDsuiqbOHl7+phinEFw/IZbqNisfH6jGV69hXHwAf91RRr2pm69yXQHZnxysprvXyaz0EEZE+fDcxpNyCPMzwlg6PYHqNisvfVPMQ/PS+PRQjRR/NSMleEAsVpC3jvw6Ew/PTaPRbHPVd2zqYvaQUMqbu1zyEkmB9DgEHholOrUSjUrJinWuWCCFAh6Yk8rL3xS7bO9xuCm4e2iUzM9wxYX4GTQUHXXVf7x6TBR/H2T1pNvu5LkNhQQbdW7zq1MruW58DLk17bxy9Qi8dGqi/fVUtrr+Hj01Kq6fEINCoSDUxwOd2rUi1utwfVfZqUE0d/XS63BKK0X958fRz+FPCjFQ1+FevgRcWynddseAY2abnVunxFHbYePZDQU0ddoYFePLRZnuzuDrO44TYtRRWN/JrdMSeWFjEUveO0RmpA8vXDmM2jYrXjo1PQ4nt75zAF+9hplpIZLTqFUpefziIXyyvxqFwuW4PbehUNpGiwvU8/zlwxgR7SfV/Wsx2+gexGntPSWOcFdpM8UNZq4YFcWWggbJOQzw0mLQqfH11JAWZuTr3Dq67Q5SQ40/uyajRq3kpinx7CxpkQK352eEkhl10iEqqDPxxZE6CupMzEgLxtdTQ6SfJ0EGnVuwd5S/J83mHsJ8dIOWbBokB2IAPXYnxQ2dVLVZCfXxIDXUACjcJGIALDY7Va1WZg/RDBBPPSFDcsLRKms2s+b7ctbn1pEebmTZrBSG/5ttTA+NStJcPMGwSF98BkkyAdcW7Ht7KnmhL7szcZAtRmuvY1Ax24qWLrfi1TdPjsdDo2R339a1EPBZTo2rhmpuHdZex7/VQjtS3f6j7T8X2dH6hfHTa3hy/THpfWNnN9ZBLhoqhYLXrx2JSqmgxdyDn5eG5zYUkhjizdLpiVh7HRg9NHxf2szr/Wr3TUwIGLC92OsQA3RLxsT6UdrURXZaMB1WOxvy6lw15mYk8eWROjw0Sm6flsCL/VaCFo2PQaVQcLi6g4MV7cxMDea5jYXSBf1orYl391Tyu4lxbCloZGpyEF09dpxCcG1WDF02OxnhPsxKC2Hd4Vr+ub+GC4aE8Ocrh3HPR4cpaTSTEeEzIG07MdjLJXA4LpaMSCMf7Ksi2n9g0Guz2YZTIK1yKRXwjxvHUn+K4Ce4ntTUKoXkZAFUtlqo77ASG+iF2eZg2UeHpYy3SD+XZEakr56/76qgum+rQ69VcefMJGrbrVw3LgaNUkm4j4ckMqruk2D4vrQFvVZJYX0nOVUdbisLR6o7mJkazPt7q3j5t8PpcTg43tTFvIwwunockpMFcGFmGPFBXvh6anj5t8N5dWsJByvapOzQF7cVYe8T9xwb649CAV46NV5aNd8VN1HRYiXQW8cz649x3+zkQVWV82tNZEb6kF9nQqmAKD/PQWtmtnT1sOloA58cqmVktC+XjYjA6KGltsPGdeNjqOvo5s/fFHNPtqtE05Wjo/hLv22/8hYLb+0sZ8HwCD7YV8Xm/AbSwlwX1JHRvswZGoqnVkWotwepod4UNph5f28lCYEGbpkcj9nWi59ey4ubT2Y1TUwMoN7UzWUjI6kzWVmxLl+KR3vr+zIuSA+hsdO9fuizlw7lqfUnkwlcMiaVzB4SKjlFU5KD+KHUtQ1958xE/r6rgk8O1pAR4cN9FyTTYe3BX+9ypPrPl0LhcvxKmsyUNJkZHx/A3dlJBBq0kqbd29+7EmG0KiX3z0mhqsXC5mP13DQ5njXfl7N6+3HiAr14eH4qDgf882A1N/19P5MTA1mYFUO33e72mzuBTu2Ku1ErFSwYHkF1m5Xv+5UZAhgb509GhA9KpYKaVgt5dR0kB3uTGWGkpsPGg2tzJaf9QEU7KqWSSYmBbsWBm809aFRKln+SK2V5HqnuYM/xViJ8PfnH7goCvFzK5au3lbKtsJHnLstEq1KiUilo6LAyNMKHORmhfHm41u3mWdZs4WitCa1aSWakL8dqO9hb3sqNE2N4+4dKmjpt9PRJqKSdsgWUFGzg2nExfHG4ltv6Spn56bX4eWnp7O5l9XWjuPO9Q5T2Jbzo1EreuzmLUTGnn+qfX9vB2oM1KBQwJSmQtDAfhoT78NmSiZQ2mdFrVSQGG/DtU3g/UW7nxEPLloJGls1KoqbNwp+uyOS5jYUcrTWREeHDxcPD+fM3RUxOymBSUqBbzUmXjM6/H+dXuXXSluNvx0QR6uPB5vwGRkT7snBsDGl9sWXB3h5cMiKCdkuvWyzmif8rxOha9bP22PmfDYVs6CvCvqOomZyqdr5YOmnQRIQTpIcZWTo9kR9KW5iaEkSv3cnIaN8BNeArWyxYenqx9jpxCCfzM8L4Kq8Oc7d9wLjmDg0l0m/gSuHXufVuv8+ihk63bPATNJl7uHRk5GkJzm7KH1hc/ZdEdrROYdWqVTz//PPU19czbNgwXnnlFcaOHXvan//2lJIcWwubuG92Ck98kS8d89AosTmcHKhs54O9lSwaF0NDp4qLR0SwOb+Bez46jKfGJQkxIsqPj/dXYxeC2ekhDAk30t5PGyfQoOXqsVFUtFjQqpWolQrqO7rRqZXsKWvpi6vw5bKREZhtrmLEOVXtXDoygr/vqnBbCfr7rgruyU5yrXiEG6k3dbs9NYNrS2VUjB8f7nc5eykhBh6ck4K3p5YXNxdx6YgInvn6mHTj/vuuCprNNl6+ahiFDWaGR/lSUGeipu+CfdnICAweagzdavy9tPxlSzFVbVYyI324dWocZc1WdhY30dXjYG5GqJuyulPAU+uPcdmoyAFZT5mRPgMKJoPLybhiVASrth13kxWobrNS3WbF36DlyjEuxeyP9le5VoCq2iltMtPZbefpBUO5fmIsnd127A6Bt6caa48dk6WH4VHBHKlul1Ys+mOzO1EooKbNigK4cVIcVpudnKo2KSvpmrHRFDZ0SkvoFw0LY8n0RD7PqeFvO8sYF+9PY6eN1FBvFgyPYEtBg6uMk1opCUXa7K54omvHRfPo50f5w5wUrh4bxft7Tzrn01KCqGrpYmysP4snxGDrdRBi9JTikE4wJTkQk9XOHTMSUSjA10vLXR/kSDfmzEgfrhwdxZGaDhKCDKiVJ1deT1DTbsXfS8vCrGgCDFpCjB4sn5NCdXs3z3zlcn4SAvVMTQnmre/LAVdW5c6SZhZPcMXuXDcuCqOnlnZrLxUtFoweanYUNTEjNXiATtQ3xxq4dWqCtALkigPTDFAS77D0MjbWj0lJAVS1WQjz8eCykREEeOl4afPJrMXcmg4e/yKfYVG+fHG4ljcWjeKheam8t6cSo4eG26Yl8I/d5dJ5dx1vYdfxFm6bmkB1m4UNefVSxlmPw8kzXx3joblp3Do1kb3lLZImW1lzF02mHt7plyyxo7iZZrONRy9M58F5qdz38cnMx5snxzEk3Eh2WjAalRIPjZJRMb48efEQ1vxQjk6j4uZJrsB4h3BtjYyI9iXM15Ndx1vYcLSB6anBBBp01JtOOnB7y1q5fVqCdCNTKxVoVEp89FrJyQJXsLqvXiOtSJQ2dXGwso27spN4bVspKqWC+/95RHKqrhgdiUalwDDITa+uw4pXgwpzt509ZS3kVHWQEurNvRck09TZjUGnJjXMSGmTmU8P1ZAZYQSFgpe2FNNgsjF3aCgNJhufHKzmvZvHSeKWnx6slpwscP0NvrmjjGHX+KLuF1xtsvaSX2ei0dRNlL+etDAjTZ02ihs6eWDtEW6aFM/2oibe3VPJ2Dh/HpiTSmyAF109rlXI/kW1C+pMbivD4Epomp8RxnMbi3hr8Wj8vLQUNXRisTm4b1YKnd12Ar20PDwvlZyqDrx0KhYMj2B41I+LdFa2dLGrtJlbpyRQb+rG2uuQHkKP1prYlN/A2tsmEOmnR6N2PVi/+X0Zt0yJ59VvS2iz9EoxWifKGdV1dEtO1snvx05Nm5XSJjPHak3EBnoxKsbPLdDc21PDbVPj0GtVbtJD989O4ZbJ8Qjg67w6V2FyXz3v763E7hQMCTdy98wk/ndbKXdnJ1FQ38nhqnYuygzn8tGReJwifyGE4JtjDW7HShrNzEoPGXAPiAv04oL04B/9Dk8wSI7FL4rsaPXjww8/ZNmyZbz22mtkZWXx0ksvMXv2bAoLCwkOPr0JO7WsgqXHgVGn4vHfDOGr3Dp89VpGRvvy+o7jXDM2iqUzEmnqtBEfbKC4oVPaJrH2OvjTpiJWLxzJykszqOuw0miy0dzVw4qL0vm+pAWH08klIyL4/T8OSBfgMbF+zE4PxSkEY2L9WfbhYZRKuGlSHIUNZkzWXn43KQ69RsXa1poB47fZnSQGG0gN9R40iDEhyMutwnphgxl/g44P9lbR1GlDrVIOWB3ZkFdPbIAXh6vb8dKqeXh+urQS5nAIbvn7AZzCdVNcOiMRh3DFKOw53obZZufmKfEogeRQb25956DbuUubuvDUqLh7ZpJU5uj3UxM4VNlG0CBxE8Oi/Pi2oJm69oGrYLXtVt7bU0lXj0umYPncVJ7r21ZJCjawPreeZrONY3WdfJZTw2UjI1CrPDlY0caQCB8cfaKAc4eGDSgDodeq8e6TMVifW8/WwiYempdGfp2J5XNS+ONnefgbtBzY2+a6SV2QwraiRpa8d5D0MCMPzUvjze/KJCX0/nIPByraePbSDJavdeld6dRKVl6aIa2WpoUZ0amV2OxOLhkezugYP4aGG4kO8OJAeQvddoFKoeCVq0ew5odyLD0OrhgdCSh4Z3cldR3dzEoPYcuxRrf4tCPVHcxIDUavVXG4qh2lUoFG5V6VwOipJinYwKtbS6Tt8AfnpvJOvy24aakhvH9KcH2nzQ4K+Nv3Zdw5I4k/fp7P+Hh/5mWE8dT6Y9jszkFlI4yeGrz6Ykr89BpumhwPuB5uTmwtqZUKnlowlFVbSzhW30mQt46bJsUxLTkQlUrJX79z//0eb+5iztBQl2htq5VVW0uZkhSI2ebgpW8KGRMbyA+l7hl3nlqXvtKpxZKFcNXA/N9tpdw5M9FNtsEJbskSAPl1newpa6W63cobi0dT126lrqObMKMHv3/noPQg9M7uSu69IBlrj4NF42MI9NKRV2viQGWblA340LxUnttwMivyg31VPHHxEElaBCA2QC8Viz+RFfv/fihn8YRYt+zTiQmBbM53v+HZnQJrj4MLM8P508ZCt5Wrj/dXc++sZOZkhPH10ZOfO+EI7yltwd+gk1bvtxc1Ee7jweyhodR1dNBpc0i/+XsvSObPm4ukh4IP9lXx+ynxfHb7BJJDvDlQ0cqG3PpBa+xVtFrodQrpxtrda+f1HcelZBeANxeN4q87yhgb78+M1BDe2VMhif5uK2yisqWL346N5pmvCvDUqHhgTgqXj4rC4KGWRGD7o1a6toTtTsGdH+bw1Z2TGeWh4do3d0uaYpF+njx58VDCfD0J8/Eg4d/UcXQ6BQX1newua6Wy1cLjFw3hiS/z3fo0mmwUN5glmYWYQC8enZ9OU5eN6SnBtHb1EGjQEROgl7IOPTTuWcsA8YFe7D7ewl/6abLNSgvm+SuGoeqr32vpceCn10gyMyd4cXMRM9OCcTgEd3+Yw93ZyW7VOI7WmogN8CIu0ItPDlbz7u+y8NCqMXqoB82EVCgUZKeFuMVg1rRbmZ4SxOHqdg71xf9eOTqSuUND/2V82Klkp4Xw5Gn1/Gn8NJ3885QXX3yRm2++mRtuuIH09HRee+019Ho9b7311mmfY0pykNt7L60KT62aFnMPTiEob+5i5dcFZEb6UNhg5pmvCnjjuzKWfXQYm91JTIC79khFSxf3//MIL24u5p09lTy9/hgt5h7Kms2E+Xjw1x3H3WIq9pW3Ye6xY+118nmOa5m+u9fJq1tLGRJuZH9FG5vzGwjx0Q0oa6BWKhgR5cuSaQn46TW8v6eSReNjOPF799apWZgVzcZTVopq27uZlhIsneNUfDw1qFUKEoIMPL+pkNvfO8j9/zyC3SF4cv0x6YLpFPD69uMszIrm2Q0FHKpqp7jRzEvfFOOj10pq4/2ZMzSUv++qYH+FKxA7LcxIgJeGTw7WcKiyzVVWpy/76OLh4bRbXTe5wQrE+uq10pafwyn49GAN01OCmZAYQGqYkctHRrL2YA2jon3567Wj0KlUvPJtCd+XtvDGd2V8uK+KWemhRPu7qth7alRE+Hry8Lw0mkzd3DEzib/vcjkYlh4HjZ3dJAV709hpY+mMRKx9GXNzh4by+eEadh9vRfRln/3l22KmJAeREmKguF+5nhNsK2qStgltdicvbCriosww1CpXAP/1E2J58cpMkkK8+cMnR/jDJ7k88lkeapWKVVtL+OJwLZWtFtQqJcHeHnT3OKhqtUirGP5eWhpNA5fnwbUNuHhCLO2WHh6Ykyrp8ujUSh6el0Zth9Wt/NKpq1Cd3XaMg8RyqBQKhOCkXMLxVho7bdLv3VOj5IJ0d8HF6yfEUtJkZsn0RJ5eMJS3vj/Oo+uO8qcrhjEu3p9IP0+evTSDV/ucLHDFTL64uQgnChADg++NnmrsDsFjvxnC2oPVdFh7+eJIHVsLGyls6GJ0rB9j+5SntSold85IJMBLi5/elfHaH4XiZPWDLccapc+5vi8Fp95bDDo1nTY7H++v5uFPc4kJ0JNT2c724ia31eYeh5PSpi5CjFoK6js5WmdCp1FKTla0v568GpObo2x3CgrqOonsK1DsqVFxz6xkovz1rLgonRUXpfPqtyU0dtow6NTcOCnWbQ4Hy+bTqJRE+HkO2OYEEAiq2yzcOjWemAA9w6N8eHBeGh8fqCI1zMiaH8rd+td2uFazNuTVu2WTdvcJE/fn00M1BHl7kFPdzlWv7+aNnWVoVMoB3+d146Pdil2XNJrdnCxw/b3tLW9FQZ+mW6t77NvxZgsdfQ+T1l4Hj32Rz+G+GJ/UcKP0fZ7gyjFR0jWz3dKLpcdBXk2Hm3BrdZuVP20q5LNDNVy2ehefHRr4ENyfooZOlrx3kIoWV7Z4RatlQDklYEBIiUatJNzHVSx+dKz/AGmH8L6qI/25ZUq8m+QQwOZjja5M5c/yuOR/f2Dhm3u4cc1+7pqZ7NbP4RSYu+1Ut7vGOZhUzYEK10roX68bTYiPJz6emh+Vm5ibEcqkxJMZnleMiiQ1zMjb14/h09sn8OUdk3jsN0NO28kCyBwk8eGXRF7R6qOnp4cDBw7w4IMPSseUSiXZ2dns2rXrtM/zVW4dy+ekUtLYidFTQ4BBR1WrhdYuGw6nq+4huNLH/6dfsVqAd/dUcv2EWLeYrFODAW12J07hSpmemBjoljZ9gl6HIK+mjZgAPQX1JzOpShpd6uAVLRYe/fwoTy0YSo/dQW6NiUCDlkcvTEcJrD1UTVKwN4vGx2CzO/nfa0Zi6u5Fq1KSX2tyc+zCfTzQqBRUtVrx07uKAU9LDpJUogFumBiHAgasWtS0WweogtvszkFF8L48Uouvp4YnLh7C+3uqKG/tYmZqML56LesO1+Kj98fbQ01amJH6jm7iAg1sLWzEW6fmvguSae3qZXtRk7S87BROls5I5LNDNX03kTje/M79YtLY2c1Nk+P48kgdk5MCMXioiPTX02i2gUIhbZ+eoLLVwvAoH7YWNJFfZ+JPV2SiVinYkFfPuPgAlq/NdbNLr1XTaOrGS6fmhU1F3JXtukhF++sHZOC4Yis8WL29ZNAYE2+d2i0WsKbdyqQkl0r4HTMSeXZDAfdkJ0ulRcAlnbAhr56pycFsLWyku9fJrr4gZrvT6Va+ZGdxMxcMCeHdfqV31EoFsQFe3PvxYTIjffnNsDA+PVjD7dMSMPbNRY/D4aYTBq4srBMrbAAb8upY2qdYf4Ih4UbqOrrx02vc5C2UfRfgSF9PlEoFC4aHMyrGDyEEvU7BxqP1UgzVi1cOo8Xscuq2FjRy0+Q48qo6iA30cvu7ANfvzmTtRaVU8PspCazuU/Y/8b6ly8ZXuXWDZmAVNXRi9FCzdEYiTqcgwKBlxbqjhPt4cP3EON74zqVU7qFRcsuUeNYdds1toEFLV98WpVqpIMDgkl7oH1R80+Q46e+mqtXK4aoOFo2PlopF98cpXHUsvznWyPj4ABKDT8bUqJQKqS5mf3ocTm6aFIdS6QqgfuKLfEkOJj3MyDOXZtDUaePTQzWSnp3N7sRDoyI+0IsDFW2S8xYToGdIuBGdWsHYOH83XS2tSklyiDd3vp+DXqdiSlIQ4+P9eeRzV2Hyf1U8+MT9VqM86TAMVtMy2l+Pp0bFxqMna3B+eqiG5XNS+Tynhg6ra2X81Jp3HYPEJvb2fd7S48DfS4NKqXBzagd7mCxtdF2Po/z0/L8bxrK9qInSJjMRvp58V9IsrVROSwkizNeDnKqB2eCd3XYSgly35Bc3FzF7SChh/8JZON7c5bZyvP5IHdeOi3ZziLLi/En5D3SsTjAvI4yYAC+ON5kJ9tbh76UdNCi9xWxzS7SpN3WzrbDRrbJHlL8n0f76kw9fgziD4xMCmJkajPY09+9iArz434WjJImWuCAvqZTQiGjtv/n04Jxp0VjZ0eqjubkZh8NBSIj7E3JISAgFBQUD+ttsNmy2k0/4HR2uLb9jFY08U29mWkogE4ZH8PBnR7gwM5xthY2MiPLl9+PCiPD1wOG04bS5x/JYbaCyd+O0WVAoXMuf+eUNA/qFewoeyo5maJgX5k6DW20olVKB02Yh0VfJD8eacdpO3qRivRXsaG3HabMTbNRh6zIT7OHkxjEhmG12DPRw85oDjI7xI6fUzJrtx7hjRiL3by5mybQEdBol5XUmbsoKJbe6g0g/T8bG+fPEl0e4fkIcJlMnm3I6uDAzlMfmxGGx2Qk06Cis7wCFApvFfTutqaWNQK2Dxn6qyQFeGhQ9lgE2+6m9GRluYHdBNVcO8+dYvYbthTWUt7i+qwXpCbz4ZQ6N5h6WTk9keKiG/cU9bMurwKAK593d7k6ew2bhne2l/PHCdLYXNlJR30xpTRPOfhev2SODWLXxCMWNXST7qXhrWykXpAczPS6CksY26LXiPCVdv6y2mS/2l5IZ4UOHycTKr47RYbUzNtwTR/dJm0KNOoJ0DtYVVDM3I4Q7J0dQVNnA1SMCsZg78cRGV7+5UyigprGZRF8V/ho7HqJbUsH30CgJ1zupajgZCD0y2pc9BdXMT/WhrqkFp82Cxdw54Hs9UGLhpklxbLFZsHd3Se3b8yp5YE6K9L6qwYIlwoNFo4L48nAdgUYd14+PZfXmI9gsXewr6qKirpnHLx5Cd6+DozWt5JbXc6iinRsnxfHPfv/vezsKeOSCZF7d6qpPGRPkg0HRw7MXJlDVZkWtcsUZ5pXX87usEF799hjOHifDIn3wUti4OSuUrDg/FE7X1siWgkZmpQdztLKdvLJ6DDo1v58az5f7S6XxJ/mpOFxaR4jRg7yyWgI0dpr6xdIoFNDQ0kZyiIFEPwUvXZLsWmnzVPP2zuOMjPHnq4Nl3DMrmd0F1dKKip9eg727i0055WzKgQhfD574zVD8NHbK61t4bbOZJxYMpd3SQ0WzhQ+/L6KuoxuNSsGCIS6hynkpPnhp1TS2tROh1/LU3Hg6+upAfr63hLq+1UCFArotnazb10BCoB7Rc7Jsj0qpIDVAxYc/FBHi4WT9geM8f0UmKns3vQ4npTUWLk73hR6LNHalArIiPbH22Oiy9vLUpiJpexWgpc3JjqMVjIsLoMvcydFaE7llJ1ezH5mfyouXJFPdV/jeX69lV0EV5S1dZEX40GvRcqCynVCjjjtmxPPC+hy6LWa6LZBfYSfOCKPCPciK8+ODHwq5PMPfTbg0JkBPXWMrQwM1mDpM0lyW1zUzJFBNbp9DrVEpuW1COI4eC5Yus9SvuNrCc3XN3D49nstGRuHvpQWnDVO/lVl/jR0fVa/blm2vxUyMN7y9NZ9ls5K5blQQb+0sl9qvmxTL+gOlbn9L3qpeTCbXeII84PLMACCAg5WtbDzUiU50MysthJunROLothDlBWpHNz39rh8zE0L454FynDY73U4lHSYTXkr31d8TaBzdbv9/bZOFkmo1r1yWQmF9JxF+noyI8kMr3O09XZL8VCT5uTIprT0OshMMbgHjEb4emDsHu550c9eMRA6UuIR078pOwoMewvSCOydHsL+omnkpPtKDZLS/JwtHBNJt6WLgGuiPE+fjcr7t3RZM/+mHT+HE3J0a+vOLIWSEEELU1NQIQPzwww9ux++//34xduzYAf1XrFghAPklv+SX/JJf8kt+nQev0tLSM+JfyCtafQQGBqJSqWhocA/wbGhoIDR0YNDtgw8+yLJly6T37e3txMTEUFlZiY+Pzxkf738LJpOJqKgoqqqqMBrPvQLv2UK2W7b714Bst2z3r4GOjg6io6Px9z996Y//BNnR6kOr1TJq1Ci2bNnCggULAHA6nWzZsoWlS5cO6K/T6dDpBgaD+vj4/Kp+oCcwGo2y3b8iZLt/Xch2/7r4tdqtVJ6Z/EDZ0erHsmXLWLx4MaNHj2bs2LG89NJLdHV1ccMNN5zrocnIyMjIyMj8H0R2tPpx1VVX0dTUxKOPPkp9fT3Dhw9nw4YNAwLkZWRkZGRkZGROB9nROoWlS5cOulX479DpdKxYsWLQ7cTzGdlu2e5fA7Ldst2/BmS7z4zdCiHOVD6jjIyMjIyMjMyvG1kZXkZGRkZGRkbmDCE7WjIyMjIyMjIyZwjZ0ZKRkZGRkZGROUPIjpaMjIyMjIyMzBlCdrR+IVatWkVsbCweHh5kZWWxd+/ecz2kn8WOHTu46KKLCA8PR6FQ8Nlnn7m1CyF49NFHCQsLw9PTk+zsbIqLi936tLa2snDhQoxGI76+vvzud7/DbDafRSv+M1auXMmYMWPw9vYmODiYBQsWUFjoXvi7u7ubJUuWEBAQgMFg4LLLLhtQTaCyspL58+ej1+sJDg7m/vvvx24fWLz2v4XVq1eTmZkpiRSOHz+er7/+Wmo/H20ejGeffRaFQsHdd98tHTsfbX/sscdQKBRur9TUVKn9fLT5BDU1NVx77bUEBATg6elJRkYG+/fvl9rPx+tabGzsgPlWKBQsWbIEOH/n2+Fw8MgjjxAXF4enpycJCQk8+eSTbvUMz9p8n5HCPr8yPvjgA6HVasVbb70ljh49Km6++Wbh6+srGhoazvXQfjJfffWVePjhh8XatWsFID799FO39meffVb4+PiIzz77TBw+fFj85je/EXFxccJqtUp95syZI4YNGyZ2794tvvvuO5GYmCiuvvrqs2zJ6TN79mzx9ttvi7y8PJGTkyPmzZsnoqOjhdlslvrceuutIioqSmzZskXs379fjBs3TkyYMEFqt9vtYujQoSI7O1scOnRIfPXVVyIwMFA8+OCD58Kk02LdunVi/fr1oqioSBQWFoqHHnpIaDQakZeXJ4Q4P20+lb1794rY2FiRmZkp7rrrLun4+Wj7ihUrxJAhQ0RdXZ30ampqktrPR5uFEKK1tVXExMSI66+/XuzZs0ccP35cbNy4UZSUlEh9zsfrWmNjo9tcb968WQBi69atQojzd76ffvppERAQIL788ktRVlYmPv74Y2EwGMTLL78s9Tlb8y07Wr8AY8eOFUuWLJHeOxwOER4eLlauXHkOR/XLcaqj5XQ6RWhoqHj++eelY+3t7UKn04n3339fCCFEfn6+AMS+ffukPl9//bVQKBSipqbmrI3959DY2CgAsX37diGEy0aNRiM+/vhjqc+xY8cEIHbt2iWEcDmoSqVS1NfXS31Wr14tjEajsNlsZ9eAn4Gfn5948803fxU2d3Z2iqSkJLF582YxdepUydE6X21fsWKFGDZs2KBt56vNQgjxwAMPiEmTJv3L9l/Lde2uu+4SCQkJwul0ntfzPX/+fHHjjTe6Hbv00kvFwoULhRBnd77lrcOfSU9PDwcOHCA7O1s6plQqyc7OZteuXedwZGeOsrIy6uvr3Wz28fEhKytLsnnXrl34+voyevRoqU92djZKpZI9e/ac9TH/FDo6OgCkQqMHDhygt7fXze7U1FSio6Pd7M7IyHCrJjB79mxMJhNHjx49i6P/aTgcDj744AO6uroYP378r8LmJUuWMH/+fDcb4fye7+LiYsLDw4mPj2fhwoVUVlYC57fN69atY/To0VxxxRUEBwczYsQI3njjDan913Bd6+np4Z133uHGG29EoVCc1/M9YcIEtmzZQlFREQCHDx9m586dzJ07Fzi78y0rw/9MmpubcTgcA8r0hISEUFBQcI5GdWapr68HGNTmE2319fUEBwe7tavVavz9/aU+/804nU7uvvtuJk6cyNChQwGXTVqtFl9fX7e+p9o92Pdyou2/ldzcXMaPH093dzcGg4FPP/2U9PR0cnJyzlubAT744AMOHjzIvn37BrSdr/OdlZXFmjVrSElJoa6ujscff5zJkyeTl5d33toMcPz4cVavXs2yZct46KGH2LdvH3feeSdarZbFixf/Kq5rn332Ge3t7Vx//fXA+fsbB1i+fDkmk4nU1FRUKhUOh4Onn36ahQsXAmf3PiY7WjIyg7BkyRLy8vLYuXPnuR7KWSElJYWcnBw6Ojr45z//yeLFi9m+ffu5HtYZpaqqirvuuovNmzfj4eFxrodz1jjxRA+QmZlJVlYWMTExfPTRR3h6ep7DkZ1ZnE4no0eP5plnngFgxIgR5OXl8dprr7F48eJzPLqzw9/+9jfmzp1LeHj4uR7KGeejjz7i3Xff5b333mPIkCHk5ORw9913Ex4eftbnW946/JkEBgaiUqkGZGk0NDQQGhp6jkZ1Zjlh14/ZHBoaSmNjo1u73W6ntbX1v/57Wbp0KV9++SVbt24lMjJSOh4aGkpPTw/t7e1u/U+1e7Dv5UTbfytarZbExERGjRrFypUrGTZsGC+//PJ5bfOBAwdobGxk5MiRqNVq1Go127dv5y9/+QtqtZqQkJDz1vb++Pr6kpycTElJyXk932FhYaSnp7sdS0tLk7ZNz/frWkVFBd988w033XSTdOx8nu/777+f5cuX89vf/paMjAyuu+467rnnHlauXAmc3fmWHa2fiVarZdSoUWzZskU65nQ62bJlC+PHjz+HIztzxMXFERoa6mazyWRiz549ks3jx4+nvb2dAwcOSH2+/fZbnE4nWVlZZ33Mp4MQgqVLl/Lpp5/y7bffEhcX59Y+atQoNBqNm92FhYVUVla62Z2bm+v2x7l582aMRuOAi/x/M06nE5vNdl7bPHPmTHJzc8nJyZFeo0ePZuHChdK/z1fb+2M2myktLSUsLOy8nu+JEycOkGspKioiJiYGOH+vayd4++23CQ4OZv78+dKx83m+LRYLSqW7i6NSqXA6ncBZnu+fEdQv08cHH3wgdDqdWLNmjcjPzxe33HKL8PX1dcvS+L9GZ2enOHTokDh06JAAxIsvvigOHTokKioqhBCutFhfX1/x+eefiyNHjoiLL7540LTYESNGiD179oidO3eKpKSk/+o06Ntuu034+PiIbdu2uaVDWywWqc+tt94qoqOjxbfffiv2798vxo8fL8aPHy+1n0iFvuCCC0ROTo7YsGGDCAoK+q9OhV6+fLnYvn27KCsrE0eOHBHLly8XCoVCbNq0SQhxftr8r+ifdSjE+Wn7vffeK7Zt2ybKysrE999/L7Kzs0VgYKBobGwUQpyfNgvhkvBQq9Xi6aefFsXFxeLdd98Ver1evPPOO1Kf8/G6JoQrEz46Olo88MADA9rO1/levHixiIiIkOQd1q5dKwIDA8Uf/vAHqc/Zmm/Z0fqFeOWVV0R0dLTQarVi7NixYvfu3ed6SD+LrVu3CmDAa/HixUIIV2rsI488IkJCQoROpxMzZ84UhYWFbudoaWkRV199tTAYDMJoNIobbrhBdHZ2ngNrTo/B7AXE22+/LfWxWq3i9ttvF35+fkKv14tLLrlE1NXVuZ2nvLxczJ07V3h6eorAwEBx7733it7e3rNszelz4403ipiYGKHVakVQUJCYOXOm5GQJcX7a/K841dE6H22/6qqrRFhYmNBqtSIiIkJcddVVblpS56PNJ/jiiy/E0KFDhU6nE6mpqeKvf/2rW/v5eF0TQoiNGzcKYIAtQpy/820ymcRdd90loqOjhYeHh4iPjxcPP/ywmyTF2ZpvhRD9ZFJlZGRkZGRkZGR+MeQYLRkZGRkZGRmZM4TsaMnIyMjIyMjInCFkR0tGRkZGRkZG5gwhO1oyMjIyMjIyMmcI2dGSkZGRkZGRkTlDyI6WjIyMjIyMjMwZQna0ZGRkZGRkZGTOELKjJSMjI/MrZNu2bSgUigF17mRkZH5ZZEdLRkbmZ1FfX88dd9xBfHw8Op2OqKgoLrroIrcaYucbp+uk/Lc4M9OmTePuu+8+p2OQkfm1oj7XA5CRkfm/S3l5ORMnTsTX15fnn3+ejIwMent72bhxI0uWLKGgoOBcD1FGRkbmnCKvaMnIyPxkbr/9dhQKBXv37uWyyy4jOTmZIUOGsGzZMnbv3i31q6ys5OKLL8ZgMGA0GrnyyitpaGiQ2h977DGGDx/OW2+9RXR0NAaDgdtvvx2Hw8Fzzz1HaGgowcHBPP30027/v0Kh4PXXX+fCCy9Er9eTlpbGrl27KCkpYdq0aXh5eTFhwgRKS0vdPvf5558zcuRIPDw8iI+P5/HHH8dut7ud98033+SSSy5Br9eTlJTEunXrAJdzOX36dAD8/PxQKBRcf/31P+n7s9ls3HfffURERODl5UVWVhbbtm2T2tesWYOvry8bN24kLS0Ng8HAnDlzqKurk/rY7XbuvPNOfH19CQgI4IEHHmDx4sUsWLAAgOuvv57t27fz8ssvo1AoUCgUlJeXS58/cOAAo0ePRq/XM2HCBAoLC3+SLTIyMv+CX6B2o4yMzK+QlpYWoVAoxDPPPPOj/RwOhxg+fLiYNGmS2L9/v9i9e7cYNWqUmDp1qtRnxYoVwmAwiMsvv1wcPXpUrFu3Tmi1WjF79mxxxx13iIKCAvHWW28JwK1gOyAiIiLEhx9+KAoLC8WCBQtEbGysmDFjhtiwYYPIz88X48aNE3PmzJE+s2PHDmE0GsWaNWtEaWmp2LRpk4iNjRWPPfaY23kjIyPFe++9J4qLi8Wdd94pDAaDaGlpEXa7XXzyySdSkd66ujrR3t4+qO0nirO3tbUN2n7TTTeJCRMmiB07doiSkhLx/PPPC51OJ4qKioQQQrz99ttCo9GI7OxssW/fPnHgwAGRlpYmrrnmGukcTz31lPD39xdr164Vx44dE7feeqswGo3i4osvFkII0d7eLsaPHy9uvvlmUVdXJ+rq6oTdbpfGlpWVJbZt2yaOHj0qJk+eLCZMmPCj8ykjI/OfITtaMjIyP4k9e/YIQKxdu/ZH+23atEmoVCpRWVkpHTt69KgAxN69e4UQLkdLr9cLk8kk9Zk9e7aIjY0VDodDOpaSkiJWrlwpvQfEH//4R+n9rl27BCD+9re/Scfef/994eHhIb2fOXPmAOfwH//4hwgLC/uX5zWbzQIQX3/9tRDi3ztQJ/ixfhUVFUKlUomamhq34zNnzhQPPvigEMLlaAGipKREal+1apUICQmR3oeEhIjnn39eem+320V0dLTkaAkhxNSpU8Vdd9016Ni++eYb6dj69esFIKxW64/aJSMjc/rIMVoyMjI/CSHEafU7duwYUVFRREVFScfS09Px9fXl2LFjjBkzBoDY2Fi8vb2lPiEhIahUKpRKpduxxsZGt/NnZma6tQNkZGS4Hevu7sZkMmE0Gjl8+DDff/+92zakw+Ggu7sbi8WCXq8fcF4vLy+MRuOA//vnkJubi8PhIDk52e24zWYjICBAeq/X60lISJDeh4WFSePo6OigoaGBsWPHSu0qlYpRo0bhdDpPaxz97QwLCwOgsbGR6Ojo/9woGRmZAciOloyMzE8iKSkJhULxiwW8azQat/cKhWLQY6c6EP37KBSKf3nsxOfMZjOPP/44l1566YAxeHh4/Oh4Ttd5OR3MZjMqlYoDBw6gUqnc2gwGw4+O43Sd3NPhx74rGRmZn48cDC8jI/OT8Pf3Z/bs2axatYqurq4B7SckDdLS0qiqqqKqqkpqy8/Pp729nfT09LM1XImRI0dSWFhIYmLigFf/1bMfQ6vVAq6VsJ/KiBEjcDgcNDY2DhhHaGjoaZ3Dx8eHkJAQ9u3bJx1zOBwcPHhwwHh/zlhlZGR+OvKKloyMzE9m1apVTJw4kbFjx/LEE0+QmZmJ3W5n8+bNrF69mmPHjpGdnU1GRgYLFy7kpZdewm63c/vttzN16lRGjx591sf86KOPcuGFFxIdHc3ll1+OUqnk8OHD5OXl8dRTT53WOWJiYlAoFHz55ZfMmzcPT09Pt1WoU8nNzXXbFlUoFAwbNoyFCxeyaNEiXnjhBUaMGEFTUxNbtmwhMzOT+fPnn9ZY7rjjDlauXEliYiKpqam88sortLW1SatT4NqW3bNnD+Xl5RgMBvz9/U/r3DIyMj8feUVLRkbmJxMfH8/BgweZPn069957L0OHDmXWrFls2bKF1atXAy6n4vPPP8fPz48pU6aQnZ1NfHw8H3744TkZ8+zZs/nyyy/ZtGkTY8aMYdy4cfz5z38mJibmtM8RERHB448/zvLlywkJCWHp0qU/2n/KlCmMGDFCeo0aNQqAt99+m0WLFnHvvfeSkpLCggUL2Ldv338UH/XAAw9w9dVXs2jRIsaPH4/BYGD27Nlu26D33XcfKpWK9PR0goKCqKysPO3zy8jI/DwU4pfc7JeRkZGROac4nU7S0tK48sorefLJJ8/1cGRkfvXIW4cyMjIy/4epqKhg06ZNTJ06FZvNxquvvkpZWRnXXHPNuR6ajIwM8tahjIyMzP9plEola9asYcyYMUycOJHc3Fy++eYb0tLSzvXQZGRkkLcOZWRkZGRkZGTOGPKKloyMjIyMjIzMGUJ2tGRkZGRkZGRkzhCyoyUjIyMjIyMjc4aQHS0ZGRkZGRkZmTOE7GjJyMjIyMjIyJwhZEdLRkZGRkZGRuYMITtaMjIyMjIyMjJnCNnRkpGRkZGRkZE5Q8iOloyMjIyMjIzMGeL/A9utE33W9tBhAAAAAElFTkSuQmCC",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "ax = plt.axes()\n",
        "sns.scatterplot(data=d, x=\"Comment Length\", y=\"Parent Comment Length\",  size=ratio_len)\n",
        "ax.set_title(\"Comparing Sarcastic Comment Length with Parent Comment\")\n",
        "# control x and y limits\n",
        "plt.ylim(0, 12000)\n",
        "plt.xlim(0, 800)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 47,
      "metadata": {
        "id": "I9Ks4VjwDoFp"
      },
      "outputs": [],
      "source": [
        "from nltk.tokenize import word_tokenize, sent_tokenize, wordpunct_tokenize, TreebankWordTokenizer, TweetTokenizer, MWETokenizer\n",
        "from nltk.corpus import stopwords\n",
        "from nltk import ngrams\n",
        "from nltk.stem import WordNetLemmatizer\n",
        "from nltk.stem import PorterStemmer\n",
        "import pandas as pd\n",
        "from sklearn.feature_extraction.text import TfidfVectorizer"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "metadata": {
        "id": "SF7pD1UxEPN_"
      },
      "outputs": [],
      "source": [
        "corpus = df5['Comments'].values.astype('U')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 49,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vYUakysLvpYJ",
        "outputId": "dec8e1c3-185d-4902-ff3f-bee88e707b87"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array(['Central Illinois',\n",
              "       'To think - CNN used to be the acronym synonymous with news.',\n",
              "       \"But then again; you have to consider that all husbands suspecting adultery don't or are simply can't afford to go for a paternity test.\",\n",
              "       ..., 'Essentially GAP insurance right?',\n",
              "       \"Yeah; but sometimes that weird kid keeps trying to show you his dick and implying he's a great guy if you gave him a shot.\",\n",
              "       \"Petroleum doesn't really require a terroir like food products do\"],\n",
              "      dtype='<U10000')"
            ]
          },
          "execution_count": 49,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "corpus"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WKBsY-OPAPJA"
      },
      "source": [
        "Tfidf vectorizer"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-Q8Azgz5y7oZ"
      },
      "source": [
        "Stop words removed"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 50,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "miyEGChGu7lM",
        "outputId": "e9b89b68-c4cb-40d5-aeb1-4d9c44011d51"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(808031, 384780)"
            ]
          },
          "execution_count": 50,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "\"\"\"Tfidf vectorizer\n",
        "\n",
        "Stop words removed\n",
        "\"\"\"\n",
        "\n",
        "method=\"Binary\"\n",
        "\n",
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "\n",
        "if method==\"Tfidf\":\n",
        "    vectorizer = TfidfVectorizer(stop_words='english', ngram_range=(1,1))\n",
        "elif method==\"Binary\":\n",
        "    vectorizer = CountVectorizer(stop_words='english', ngram_range=(1,2), min_df=2)\n",
        "    \n",
        "tfidf= TfidfVectorizer(stop_words='english', ngram_range=(1,1))\n",
        "\n",
        "X = vectorizer.fit_transform(corpus)\n",
        "np.shape(X)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 51,
      "metadata": {
        "id": "oNLdJXV83i_r"
      },
      "outputs": [],
      "source": [
        "labels = df5['label'].to_list()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 52,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MWkkhY9Ww7N3",
        "outputId": "3b8f9ed3-ea78-460d-d14e-1222668376ac"
      },
      "outputs": [],
      "source": [
        "#print(vectorizer.get_feature_names())\n",
        "#X=np.asmatrix(X)\n",
        "Countvecs=pd.DataFrame(X)\n",
        "\n",
        "#print(Countvecs.head())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 53,
      "metadata": {
        "id": "B-h47HfR0x2J"
      },
      "outputs": [],
      "source": [
        "bigram_vectorizer = CountVectorizer(ngram_range=(1, 2),token_pattern=r'\\b\\w+\\b', min_df=1).build_analyzer()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 54,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>(0, 49828)\\t1\\n  (0, 156114)\\t1\\n  (0, 49846...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>(0, 330825)\\t1\\n  (0, 57694)\\t1\\n  (0, 35175...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>(0, 63429)\\t1\\n  (0, 154401)\\t1\\n  (0, 32138...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>(0, 346880)\\t1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>(0, 354206)\\t1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>808026</th>\n",
              "      <td>(0, 87340)\\t1\\n  (0, 223235)\\t1\\n  (0, 4918)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>808027</th>\n",
              "      <td>(0, 206168)\\t1\\n  (0, 283433)\\t1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>808028</th>\n",
              "      <td>(0, 279964)\\t1\\n  (0, 160291)\\t1\\n  (0, 1218...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>808029</th>\n",
              "      <td>(0, 378107)\\t1\\n  (0, 137981)\\t1\\n  (0, 1346...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>808030</th>\n",
              "      <td>(0, 185805)\\t1\\n  (0, 271183)\\t1\\n  (0, 8567...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>808031 rows × 1 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                        0\n",
              "0         (0, 49828)\\t1\\n  (0, 156114)\\t1\\n  (0, 49846...\n",
              "1         (0, 330825)\\t1\\n  (0, 57694)\\t1\\n  (0, 35175...\n",
              "2         (0, 63429)\\t1\\n  (0, 154401)\\t1\\n  (0, 32138...\n",
              "3                                          (0, 346880)\\t1\n",
              "4                                          (0, 354206)\\t1\n",
              "...                                                   ...\n",
              "808026    (0, 87340)\\t1\\n  (0, 223235)\\t1\\n  (0, 4918)...\n",
              "808027                   (0, 206168)\\t1\\n  (0, 283433)\\t1\n",
              "808028    (0, 279964)\\t1\\n  (0, 160291)\\t1\\n  (0, 1218...\n",
              "808029    (0, 378107)\\t1\\n  (0, 137981)\\t1\\n  (0, 1346...\n",
              "808030    (0, 185805)\\t1\\n  (0, 271183)\\t1\\n  (0, 8567...\n",
              "\n",
              "[808031 rows x 1 columns]"
            ]
          },
          "execution_count": 54,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "Countvecs"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 59,
      "metadata": {
        "id": "G4Yp5as412tE"
      },
      "outputs": [
        {
          "ename": "InvalidIndexError",
          "evalue": "(slice(None, None, None), 0)",
          "output_type": "error",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mInvalidIndexError\u001b[0m                         Traceback (most recent call last)",
            "Cell \u001b[0;32mIn [59], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msklearn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmodel_selection\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m train_test_split\n\u001b[0;32m----> 3\u001b[0m x_train, x_test, y_train, y_test \u001b[38;5;241m=\u001b[39m train_test_split(\u001b[43mCountvecs\u001b[49m\u001b[43m[\u001b[49m\u001b[43m:\u001b[49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m, labels , test_size\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0.25\u001b[39m, random_state\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m42\u001b[39m)\n",
            "File \u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/frame.py:3505\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   3503\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mcolumns\u001b[39m.\u001b[39mnlevels \u001b[39m>\u001b[39m \u001b[39m1\u001b[39m:\n\u001b[1;32m   3504\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_getitem_multilevel(key)\n\u001b[0;32m-> 3505\u001b[0m indexer \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mcolumns\u001b[39m.\u001b[39;49mget_loc(key)\n\u001b[1;32m   3506\u001b[0m \u001b[39mif\u001b[39;00m is_integer(indexer):\n\u001b[1;32m   3507\u001b[0m     indexer \u001b[39m=\u001b[39m [indexer]\n",
            "File \u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/indexes/range.py:388\u001b[0m, in \u001b[0;36mRangeIndex.get_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m    386\u001b[0m         \u001b[39mexcept\u001b[39;00m \u001b[39mValueError\u001b[39;00m \u001b[39mas\u001b[39;00m err:\n\u001b[1;32m    387\u001b[0m             \u001b[39mraise\u001b[39;00m \u001b[39mKeyError\u001b[39;00m(key) \u001b[39mfrom\u001b[39;00m \u001b[39merr\u001b[39;00m\n\u001b[0;32m--> 388\u001b[0m     \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_check_indexing_error(key)\n\u001b[1;32m    389\u001b[0m     \u001b[39mraise\u001b[39;00m \u001b[39mKeyError\u001b[39;00m(key)\n\u001b[1;32m    390\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39msuper\u001b[39m()\u001b[39m.\u001b[39mget_loc(key, method\u001b[39m=\u001b[39mmethod, tolerance\u001b[39m=\u001b[39mtolerance)\n",
            "File \u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/indexes/base.py:5637\u001b[0m, in \u001b[0;36mIndex._check_indexing_error\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   5633\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_check_indexing_error\u001b[39m(\u001b[39mself\u001b[39m, key):\n\u001b[1;32m   5634\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m is_scalar(key):\n\u001b[1;32m   5635\u001b[0m         \u001b[39m# if key is not a scalar, directly raise an error (the code below\u001b[39;00m\n\u001b[1;32m   5636\u001b[0m         \u001b[39m# would convert to numpy arrays and raise later any way) - GH29926\u001b[39;00m\n\u001b[0;32m-> 5637\u001b[0m         \u001b[39mraise\u001b[39;00m InvalidIndexError(key)\n",
            "\u001b[0;31mInvalidIndexError\u001b[0m: (slice(None, None, None), 0)"
          ]
        }
      ],
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "x_train, x_test, y_train, y_test = train_test_split(Countvecs[:,0], labels , test_size= 0.25, random_state=42)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 56,
      "metadata": {
        "id": "jCm3sht904hT"
      },
      "outputs": [],
      "source": [
        "from os import path\n",
        "sns.set()\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.metrics import accuracy_score, confusion_matrix, recall_score, precision_score, f1_score\n",
        "\n",
        "from sklearn.model_selection import cross_val_score\n",
        "from sklearn.model_selection import GridSearchCV\n",
        "import calendar\n",
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "from sklearn.metrics.pairwise import cosine_similarity\n",
        "%matplotlib inline\n",
        "import time"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 57,
      "metadata": {
        "id": "vMMdQu6m07ik"
      },
      "outputs": [],
      "source": [
        "parameters = {'solver': [ 'lbfgs', 'liblinear', 'saga'], 'verbose': [0, 1, 2]}\n",
        "\n",
        "# multinomial logistic regression a.k.a softmax classifier\n",
        "logit = LogisticRegression(random_state= 42)\n",
        "\n",
        "logit_classifier = GridSearchCV(logit, parameters, cv = 5, n_jobs= 4)\n",
        "\n",
        "# sklearn's pipeline\n",
        "tfidf_logit_pipeline = Pipeline([('vectorizer', vectorizer),  ('logit_classifier', logit_classifier)])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 58,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rxQ8oB5P0-dg",
        "outputId": "fad517fe-8a10-4853-da86-4e641ce440d9"
      },
      "outputs": [
        {
          "ename": "AttributeError",
          "evalue": "lower not found",
          "output_type": "error",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
            "Cell \u001b[0;32mIn [58], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m start \u001b[38;5;241m=\u001b[39m time\u001b[38;5;241m.\u001b[39mtime()\n\u001b[0;32m----> 2\u001b[0m \u001b[43mtfidf_logit_pipeline\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_train\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_train\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      3\u001b[0m end \u001b[38;5;241m=\u001b[39m time\u001b[38;5;241m.\u001b[39mtime()\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28mprint\u001b[39m(end \u001b[38;5;241m-\u001b[39m start)\n",
            "File \u001b[0;32m/usr/local/lib/python3.10/dist-packages/sklearn/pipeline.py:378\u001b[0m, in \u001b[0;36mPipeline.fit\u001b[0;34m(self, X, y, **fit_params)\u001b[0m\n\u001b[1;32m    352\u001b[0m \u001b[39m\"\"\"Fit the model.\u001b[39;00m\n\u001b[1;32m    353\u001b[0m \n\u001b[1;32m    354\u001b[0m \u001b[39mFit all the transformers one after the other and transform the\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    375\u001b[0m \u001b[39m    Pipeline with fitted steps.\u001b[39;00m\n\u001b[1;32m    376\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m    377\u001b[0m fit_params_steps \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_check_fit_params(\u001b[39m*\u001b[39m\u001b[39m*\u001b[39mfit_params)\n\u001b[0;32m--> 378\u001b[0m Xt \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_fit(X, y, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mfit_params_steps)\n\u001b[1;32m    379\u001b[0m \u001b[39mwith\u001b[39;00m _print_elapsed_time(\u001b[39m\"\u001b[39m\u001b[39mPipeline\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_log_message(\u001b[39mlen\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39msteps) \u001b[39m-\u001b[39m \u001b[39m1\u001b[39m)):\n\u001b[1;32m    380\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_final_estimator \u001b[39m!=\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mpassthrough\u001b[39m\u001b[39m\"\u001b[39m:\n",
            "File \u001b[0;32m/usr/local/lib/python3.10/dist-packages/sklearn/pipeline.py:336\u001b[0m, in \u001b[0;36mPipeline._fit\u001b[0;34m(self, X, y, **fit_params_steps)\u001b[0m\n\u001b[1;32m    334\u001b[0m     cloned_transformer \u001b[39m=\u001b[39m clone(transformer)\n\u001b[1;32m    335\u001b[0m \u001b[39m# Fit or load from cache the current transformer\u001b[39;00m\n\u001b[0;32m--> 336\u001b[0m X, fitted_transformer \u001b[39m=\u001b[39m fit_transform_one_cached(\n\u001b[1;32m    337\u001b[0m     cloned_transformer,\n\u001b[1;32m    338\u001b[0m     X,\n\u001b[1;32m    339\u001b[0m     y,\n\u001b[1;32m    340\u001b[0m     \u001b[39mNone\u001b[39;49;00m,\n\u001b[1;32m    341\u001b[0m     message_clsname\u001b[39m=\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39mPipeline\u001b[39;49m\u001b[39m\"\u001b[39;49m,\n\u001b[1;32m    342\u001b[0m     message\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_log_message(step_idx),\n\u001b[1;32m    343\u001b[0m     \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mfit_params_steps[name],\n\u001b[1;32m    344\u001b[0m )\n\u001b[1;32m    345\u001b[0m \u001b[39m# Replace the transformer of the step with the fitted\u001b[39;00m\n\u001b[1;32m    346\u001b[0m \u001b[39m# transformer. This is necessary when loading the transformer\u001b[39;00m\n\u001b[1;32m    347\u001b[0m \u001b[39m# from the cache.\u001b[39;00m\n\u001b[1;32m    348\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39msteps[step_idx] \u001b[39m=\u001b[39m (name, fitted_transformer)\n",
            "File \u001b[0;32m/usr/local/lib/python3.10/dist-packages/joblib/memory.py:349\u001b[0m, in \u001b[0;36mNotMemorizedFunc.__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    348\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__call__\u001b[39m(\u001b[39mself\u001b[39m, \u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs):\n\u001b[0;32m--> 349\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mfunc(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
            "File \u001b[0;32m/usr/local/lib/python3.10/dist-packages/sklearn/pipeline.py:870\u001b[0m, in \u001b[0;36m_fit_transform_one\u001b[0;34m(transformer, X, y, weight, message_clsname, message, **fit_params)\u001b[0m\n\u001b[1;32m    868\u001b[0m \u001b[39mwith\u001b[39;00m _print_elapsed_time(message_clsname, message):\n\u001b[1;32m    869\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mhasattr\u001b[39m(transformer, \u001b[39m\"\u001b[39m\u001b[39mfit_transform\u001b[39m\u001b[39m\"\u001b[39m):\n\u001b[0;32m--> 870\u001b[0m         res \u001b[39m=\u001b[39m transformer\u001b[39m.\u001b[39;49mfit_transform(X, y, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mfit_params)\n\u001b[1;32m    871\u001b[0m     \u001b[39melse\u001b[39;00m:\n\u001b[1;32m    872\u001b[0m         res \u001b[39m=\u001b[39m transformer\u001b[39m.\u001b[39mfit(X, y, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mfit_params)\u001b[39m.\u001b[39mtransform(X)\n",
            "File \u001b[0;32m/usr/local/lib/python3.10/dist-packages/sklearn/feature_extraction/text.py:1338\u001b[0m, in \u001b[0;36mCountVectorizer.fit_transform\u001b[0;34m(self, raw_documents, y)\u001b[0m\n\u001b[1;32m   1330\u001b[0m             warnings\u001b[39m.\u001b[39mwarn(\n\u001b[1;32m   1331\u001b[0m                 \u001b[39m\"\u001b[39m\u001b[39mUpper case characters found in\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m   1332\u001b[0m                 \u001b[39m\"\u001b[39m\u001b[39m vocabulary while \u001b[39m\u001b[39m'\u001b[39m\u001b[39mlowercase\u001b[39m\u001b[39m'\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m   1333\u001b[0m                 \u001b[39m\"\u001b[39m\u001b[39m is True. These entries will not\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m   1334\u001b[0m                 \u001b[39m\"\u001b[39m\u001b[39m be matched with any documents\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m   1335\u001b[0m             )\n\u001b[1;32m   1336\u001b[0m             \u001b[39mbreak\u001b[39;00m\n\u001b[0;32m-> 1338\u001b[0m vocabulary, X \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_count_vocab(raw_documents, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mfixed_vocabulary_)\n\u001b[1;32m   1340\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mbinary:\n\u001b[1;32m   1341\u001b[0m     X\u001b[39m.\u001b[39mdata\u001b[39m.\u001b[39mfill(\u001b[39m1\u001b[39m)\n",
            "File \u001b[0;32m/usr/local/lib/python3.10/dist-packages/sklearn/feature_extraction/text.py:1209\u001b[0m, in \u001b[0;36mCountVectorizer._count_vocab\u001b[0;34m(self, raw_documents, fixed_vocab)\u001b[0m\n\u001b[1;32m   1207\u001b[0m \u001b[39mfor\u001b[39;00m doc \u001b[39min\u001b[39;00m raw_documents:\n\u001b[1;32m   1208\u001b[0m     feature_counter \u001b[39m=\u001b[39m {}\n\u001b[0;32m-> 1209\u001b[0m     \u001b[39mfor\u001b[39;00m feature \u001b[39min\u001b[39;00m analyze(doc):\n\u001b[1;32m   1210\u001b[0m         \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m   1211\u001b[0m             feature_idx \u001b[39m=\u001b[39m vocabulary[feature]\n",
            "File \u001b[0;32m/usr/local/lib/python3.10/dist-packages/sklearn/feature_extraction/text.py:111\u001b[0m, in \u001b[0;36m_analyze\u001b[0;34m(doc, analyzer, tokenizer, ngrams, preprocessor, decoder, stop_words)\u001b[0m\n\u001b[1;32m    109\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m    110\u001b[0m     \u001b[39mif\u001b[39;00m preprocessor \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m--> 111\u001b[0m         doc \u001b[39m=\u001b[39m preprocessor(doc)\n\u001b[1;32m    112\u001b[0m     \u001b[39mif\u001b[39;00m tokenizer \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m    113\u001b[0m         doc \u001b[39m=\u001b[39m tokenizer(doc)\n",
            "File \u001b[0;32m/usr/local/lib/python3.10/dist-packages/sklearn/feature_extraction/text.py:69\u001b[0m, in \u001b[0;36m_preprocess\u001b[0;34m(doc, accent_function, lower)\u001b[0m\n\u001b[1;32m     50\u001b[0m \u001b[39m\"\"\"Chain together an optional series of text preprocessing steps to\u001b[39;00m\n\u001b[1;32m     51\u001b[0m \u001b[39mapply to a document.\u001b[39;00m\n\u001b[1;32m     52\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     66\u001b[0m \u001b[39m    preprocessed string\u001b[39;00m\n\u001b[1;32m     67\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m     68\u001b[0m \u001b[39mif\u001b[39;00m lower:\n\u001b[0;32m---> 69\u001b[0m     doc \u001b[39m=\u001b[39m doc\u001b[39m.\u001b[39;49mlower()\n\u001b[1;32m     70\u001b[0m \u001b[39mif\u001b[39;00m accent_function \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m     71\u001b[0m     doc \u001b[39m=\u001b[39m accent_function(doc)\n",
            "File \u001b[0;32m/usr/local/lib/python3.10/dist-packages/scipy/sparse/_base.py:771\u001b[0m, in \u001b[0;36mspmatrix.__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m    769\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mgetnnz()\n\u001b[1;32m    770\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m--> 771\u001b[0m     \u001b[39mraise\u001b[39;00m \u001b[39mAttributeError\u001b[39;00m(attr \u001b[39m+\u001b[39m \u001b[39m\"\u001b[39m\u001b[39m not found\u001b[39m\u001b[39m\"\u001b[39m)\n",
            "\u001b[0;31mAttributeError\u001b[0m: lower not found"
          ]
        }
      ],
      "source": [
        "start = time.time()\n",
        "tfidf_logit_pipeline.fit(x_train, y_train)\n",
        "end = time.time()\n",
        "print(end - start) "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KDRTlTbk7iUm",
        "outputId": "e0f923b0-28d6-4311-e911-dc24e0aae887"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "{'solver': 'liblinear', 'verbose': 0}\n",
            "0.6778950580357586\n"
          ]
        }
      ],
      "source": [
        "print(logit_classifier.best_params_)\n",
        "print(logit_classifier.best_score_)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "I_nYoISO7jPF"
      },
      "outputs": [],
      "source": [
        "valid_pred = tfidf_logit_pipeline.predict(x_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "l5wuGryG7l9F",
        "outputId": "a46b22f1-ade2-4928-947e-b3907fb15214"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0.6789632093778464"
            ]
          },
          "execution_count": 40,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "accuracy_score(y_test, valid_pred)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PvNxigMA7ogp",
        "outputId": "509bffb5-49ad-4861-bb41-a8d0b21eae12"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Model Performance Statistic Suite-1: \n",
            "Accuracy:  0.6789632093778464\n",
            "Precision:  0.732384461480557\n",
            "Recall:  0.6615284139707988\n",
            "F1 Score:  0.6951555434384079\n",
            "Sensitivity :  0.7005607766645979\n",
            "Specificity :  0.6615284139707988\n"
          ]
        }
      ],
      "source": [
        "# Getting the accuracy metric\n",
        "acc = accuracy_score(valid_pred, y_test)\n",
        "pre = precision_score(valid_pred, y_test)\n",
        "rec = recall_score(valid_pred, y_test)\n",
        "f1 = f1_score(valid_pred, y_test)\n",
        "\n",
        "print ('Model Performance Statistic Suite-1: ')\n",
        "print ('Accuracy: ', acc)\n",
        "print ('Precision: ', pre)\n",
        "print ('Recall: ',rec)\n",
        "print ('F1 Score: ', f1)\n",
        "\n",
        "cm = confusion_matrix(y_test,valid_pred)\n",
        "\n",
        "sensitivity = cm[0,0]/(cm[0,0]+cm[1,0])\n",
        "print('Sensitivity : ', sensitivity )\n",
        "\n",
        "specificity = cm[1,1]/(cm[0,1]+cm[1,1])\n",
        "print('Specificity : ', specificity)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 413
        },
        "id": "lFhbO3zK7rA4",
        "outputId": "08cc04dd-9047-4fa7-9bd9-b8f0ed903b03"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "cm =  pd.DataFrame(cm, index=['Natural','Sarcastic'],columns=['Natural','Sarcastic'])\n",
        "fig = plt.figure(figsize=(8,6))\n",
        "ax = sns.heatmap(cm,annot=True,cbar=False, cmap='Greens',linewidths=0.5,fmt='.0f')\n",
        "ax.set_title('Confusion Matrix',fontsize=16,y=1.25)\n",
        "ax.set_ylabel('Ground Truth',fontsize=14)\n",
        "ax.set_xlabel('Predicted',fontsize=14)\n",
        "ax.xaxis.set_ticks_position('top')\n",
        "ax.xaxis.set_label_position('top')\n",
        "ax.tick_params(labelsize=12)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/bin/bash: line 1: deactivate: command not found\n"
          ]
        }
      ],
      "source": [
        "!deactivate"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": []
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3.8.2 64-bit",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.10.4"
    },
    "vscode": {
      "interpreter": {
        "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}