memento_replayability_data_vis.ipynb

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        "id": "S1F-tWmhBe9d"
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      "source": [
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "from numpy import NaN"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def get_df_by_year(df, year):\n",
        "    return df[df['year']==year]\n",
        "\n",
        "def get_percentage_replayable_for_year(df, year):\n",
        "  # get only the mementos in the given year\n",
        "  df_for_year=get_df_by_year(df, year)\n",
        "\n",
        "  #get warc/revisits\n",
        "  df_warc=df_for_year[df_for_year['status_code']=='-']\n",
        "  warc_to_2xx=evaluate_redirects_to_v2(df_warc)['to_2xx']\n",
        "\n",
        "  #get successes\n",
        "  df_success=df_for_year[df_for_year['status_code']=='200']\n",
        "  successes=get_rows_in_df(df_success)\n",
        "\n",
        "  #get redirections(3xx)\n",
        "  df_redirection=df_for_year[df_for_year['status_code'].isin(['301', '302'])]\n",
        "  #print(evaluate_redirects_to(df_redirection))\n",
        "  redirection_to_login=evaluate_redirects_to(df_redirection)['to_login']\n",
        "\n",
        "  success=get_rows_in_df(df_success)\n",
        "  replayable=success+warc_to_2xx\n",
        "\n",
        "  print('replayable in '+str(year)+': ', replayable)\n",
        "  #all mementos in year - (all redirections - redirections to login)\n",
        "  total=get_rows_in_df(df_for_year)-(get_rows_in_df(df_redirection)-redirection_to_login)\n",
        "  print('total in '+str(year)+': ', total)\n",
        "  print('percentage replayable in', year, ': ')\n",
        "  if total==0:\n",
        "    return float('nan')\n",
        "  print(\"{0:.2f}%\".format(replayable/total * 100))\n",
        "  return round((replayable/total * 100), 2)\n",
        "\n",
        "def get_percentage_replayable_by_month(df, month, year):\n",
        "    #subset df to mementos in month/year\n",
        "    df_by_year=get_df_by_year(df, year)\n",
        "    df_by_month_year=df_by_year[df_by_year['date'].str.startswith(str(month)+'/')]\n",
        "\n",
        "    #get warc/revisits\n",
        "    df_warc=df_by_month_year[df_by_month_year['status_code']=='-']\n",
        "    warc_to_2xx=evaluate_redirects_to_v2(df_warc)['to_2xx']\n",
        "\n",
        "    #get successes\n",
        "    df_success=df_by_month_year[df_by_month_year['status_code']=='200']\n",
        "    successes=get_rows_in_df(df_success)\n",
        "\n",
        "    #get redirections(3xx)\n",
        "    df_redirection=df_by_month_year[df_by_month_year['status_code'].isin(['301', '302'])]\n",
        "    #print(evaluate_redirects_to(df_redirection))\n",
        "    redirection_to_login=evaluate_redirects_to(df_redirection)['to_login']\n",
        "\n",
        "    success=get_rows_in_df(df_success)\n",
        "    replayable=success+warc_to_2xx\n",
        "\n",
        "    print('replayable in '+str(year)+': ', replayable)\n",
        "    #all mementos in year - (all redirections - redirections to login)\n",
        "    total=get_rows_in_df(df_by_month_year)-(get_rows_in_df(df_redirection)-redirection_to_login)\n",
        "    print('total in '+str(year)+': ', total)\n",
        "    print('percentage replayable in', year, ': ')\n",
        "    if total==0:\n",
        "      return float('nan')\n",
        "    print(\"{0:.2f}%\".format(replayable/total * 100))\n",
        "    return round((replayable/total * 100), 2)\n",
        "\n",
        "def get_rows_in_df(df):\n",
        "    return int(df.describe().loc['count'][0])\n",
        "\n",
        "def evaluate_redirects_to(df):\n",
        "  result={'to_2xx':0, 'to_login': 0, 'to_NaN':0}\n",
        "  for x in df.redirects_to:\n",
        "      if x is NaN:\n",
        "        result['to_NaN']+=1\n",
        "      elif 'login' in x:\n",
        "        result['to_login']+=1\n",
        "      else:\n",
        "        result['to_2xx']+=1\n",
        "  return result\n",
        "\n",
        "def evaluate_redirects_to_v2(df):\n",
        "  result={'to_2xx':0, 'to_login': 0, 'to_NaN':0}\n",
        "  for x in range(get_rows_in_df(df)):\n",
        "      redirects_to=df.iloc[x].redirects_to\n",
        "      redirect_type=df.iloc[x].redirect_type\n",
        "      if redirects_to is NaN:\n",
        "        result['to_NaN']+=1\n",
        "      elif 'login'==redirect_type:\n",
        "        result['to_login']+=1\n",
        "      elif '2xx'==redirect_type:\n",
        "        result['to_2xx']+=1\n",
        "  return result\n",
        "\n",
        "def get_frequency_of_status_codes(df):\n",
        "    return df['status_code'].value_counts()\n",
        "\n",
        "def get_successes_per_year(df, year):\n",
        "  # get only the mementos in the given year\n",
        "  df_for_year=get_df_by_year(df, year)\n",
        "\n",
        "  #get warc/revisits\n",
        "  df_warc=df_for_year[df_for_year['status_code']=='-']\n",
        "  warc_to_2xx=evaluate_redirects_to(df_warc)['to_2xx']\n",
        "\n",
        "  #get successes\n",
        "  df_success=df_for_year[df_for_year['status_code']=='200']\n",
        "  successes=get_rows_in_df(df_success)\n",
        "\n",
        "  success=get_rows_in_df(df_success)\n",
        "  replayable=success+warc_to_2xx\n",
        "  return replayable"
      ],
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        "data=pd.read_csv('t25_all.csv')\n"
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        "get_frequency_of_status_codes(data)"
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              "-      22125\n",
              "200    21046\n",
              "301    20042\n",
              "302     7105\n",
              "429     4798\n",
              "404      204\n",
              "503       45\n",
              "500        6\n",
              "400        5\n",
              "502        1\n",
              "504        1\n",
              "Name: status_code, dtype: int64"
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          "metadata": {},
          "execution_count": 41
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        "redirect_type=[NaN for i in range(get_rows_in_df(data))]\n",
        "data['redirect_type']=redirect_type\n",
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              "       year                                               urim status_code  \\\n",
              "index                                                                        \n",
              "0      2012  https://web.archive.org/web/20121111004618/htt...         200   \n",
              "1      2012  https://web.archive.org/web/20121129232611/htt...         200   \n",
              "2      2012  https://web.archive.org/web/20121129232611/htt...         200   \n",
              "3      2013  https://web.archive.org/web/20130424203016/htt...         200   \n",
              "4      2013  https://web.archive.org/web/20130701161802/htt...         200   \n",
              "...     ...                                                ...         ...   \n",
              "75373  2023  https://web.archive.org/web/20230629062711/htt...           -   \n",
              "75374  2023  https://web.archive.org/web/20230629100730/htt...           -   \n",
              "75375  2023  https://web.archive.org/web/20230629133426/htt...           -   \n",
              "75376  2023  https://web.archive.org/web/20230629232819/htt...           -   \n",
              "75377  2023  https://web.archive.org/web/20230629234415/htt...           -   \n",
              "\n",
              "             date      time      mimetype                            digest  \\\n",
              "index                                                                         \n",
              "0      11/11/2012   0:46:18           NaN  F24ITJ3DP5A2I7SXN7GAGCYV6HO7M2EF   \n",
              "1      11/29/2012  23:26:11           NaN  DSYS6QH7NEXOPK626N4TTQHSGUSUKJMJ   \n",
              "2      11/29/2012  23:26:11           NaN  DSYS6QH7NEXOPK626N4TTQHSGUSUKJMJ   \n",
              "3       4/24/2013  20:30:16           NaN  AXCCX5JKNA5H4FFCR5H2OEJ7TNIYT62U   \n",
              "4        7/1/2013  16:18:02           NaN  SKD4CWH37TKECGFFKCCRFEQTYFS6T2S4   \n",
              "...           ...       ...           ...                               ...   \n",
              "75373   6/29/2023   6:27:11  warc/revisit  3I42H3S6NNFQ2MSVX7XZKYAYSCX5QBYJ   \n",
              "75374   6/29/2023  10:07:30  warc/revisit  3I42H3S6NNFQ2MSVX7XZKYAYSCX5QBYJ   \n",
              "75375   6/29/2023  13:34:26  warc/revisit  3I42H3S6NNFQ2MSVX7XZKYAYSCX5QBYJ   \n",
              "75376   6/29/2023  23:28:19  warc/revisit  3I42H3S6NNFQ2MSVX7XZKYAYSCX5QBYJ   \n",
              "75377   6/29/2023  23:44:15  warc/revisit  3I42H3S6NNFQ2MSVX7XZKYAYSCX5QBYJ   \n",
              "\n",
              "                                            redirects_to  redirect_type  \n",
              "index                                                                    \n",
              "0                                                    NaN            NaN  \n",
              "1                                                    NaN            NaN  \n",
              "2                                                    NaN            NaN  \n",
              "3                                                    NaN            NaN  \n",
              "4                                                    NaN            NaN  \n",
              "...                                                  ...            ...  \n",
              "75373  https://web.archive.org/web/20230629062711/htt...            NaN  \n",
              "75374  https://web.archive.org/web/20230629100730/htt...            NaN  \n",
              "75375  https://web.archive.org/web/20230629133426/htt...            NaN  \n",
              "75376  https://web.archive.org/web/20230629232819/htt...            NaN  \n",
              "75377  https://web.archive.org/web/20230629234415/htt...            NaN  \n",
              "\n",
              "[75378 rows x 9 columns]"
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              "      <th>0</th>\n",
              "      <td>2012</td>\n",
              "      <td>https://web.archive.org/web/20121111004618/htt...</td>\n",
              "      <td>200</td>\n",
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              "      <td>NaN</td>\n",
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              "      <th>2</th>\n",
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              "      <td>200</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>https://web.archive.org/web/20130424203016/htt...</td>\n",
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              "      <td>NaN</td>\n",
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              "      <th>4</th>\n",
              "      <td>2013</td>\n",
              "      <td>https://web.archive.org/web/20130701161802/htt...</td>\n",
              "      <td>200</td>\n",
              "      <td>7/1/2013</td>\n",
              "      <td>16:18:02</td>\n",
              "      <td>NaN</td>\n",
              "      <td>SKD4CWH37TKECGFFKCCRFEQTYFS6T2S4</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>6:27:11</td>\n",
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              "      <td>2023</td>\n",
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              "      fill: #174EA6;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-b704ce46-f106-4579-b00d-d202dc9b2358 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-b704ce46-f106-4579-b00d-d202dc9b2358');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_successful=data[data['status_code'] == '200']\n",
        "data_unsuccessful=data[data['status_code']!='200']\n",
        "data_redirect=data[data['status_code'].isin(['301', '302', '-'])]\n",
        "df_4xx=data[data['status_code'].isin(['400', '404', '429'])]\n",
        "df_5xx=data[data['status_code'].isin(['500', '504', '502', '503'])]"
      ],
      "metadata": {
        "id": "mu5FSr0Sdmmk"
      },
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x=data_redirect[data_redirect['redirects_to'].notnull()]"
      ],
      "metadata": {
        "id": "lYvztoaDeAlK"
      },
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data_redirect[(data_redirect['redirects_to'].isnull()) & (data_redirect['status_code']=='-')]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "id": "NsFgk6OY6MFH",
        "outputId": "cebd874a-a17e-408e-d23c-3e970ad330b7"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       year                                               urim status_code  \\\n",
              "index                                                                        \n",
              "1142   2018  https://web.archive.org/web/20180406173258/htt...           -   \n",
              "1238   2018  https://web.archive.org/web/20180902043838/htt...           -   \n",
              "1294   2018  https://web.archive.org/web/20181208045824/htt...           -   \n",
              "1295   2018  https://web.archive.org/web/20181209223059/htt...           -   \n",
              "1298   2018  https://web.archive.org/web/20181211165115/htt...           -   \n",
              "...     ...                                                ...         ...   \n",
              "75343  2023  https://web.archive.org/web/20230307130526/htt...           -   \n",
              "75344  2023  https://web.archive.org/web/20230307131150/htt...           -   \n",
              "75345  2023  https://web.archive.org/web/20230308165435/htt...           -   \n",
              "75347  2023  https://web.archive.org/web/20230319161430/htt...           -   \n",
              "75348  2023  https://web.archive.org/web/20230320104729/htt...           -   \n",
              "\n",
              "             date      time      mimetype                            digest  \\\n",
              "index                                                                         \n",
              "1142     4/6/2018  17:32:58  warc/revisit  3I42H3S6NNFQ2MSVX7XZKYAYSCX5QBYJ   \n",
              "1238     9/2/2018   4:38:38  warc/revisit  3I42H3S6NNFQ2MSVX7XZKYAYSCX5QBYJ   \n",
              "1294    12/8/2018   4:58:24  warc/revisit  RTY3MJFUYMZLV2Y4ZWGHQA7RFMNMQNSO   \n",
              "1295    12/9/2018  22:30:59  warc/revisit  RTY3MJFUYMZLV2Y4ZWGHQA7RFMNMQNSO   \n",
              "1298   12/11/2018  16:51:15  warc/revisit  RTY3MJFUYMZLV2Y4ZWGHQA7RFMNMQNSO   \n",
              "...           ...       ...           ...                               ...   \n",
              "75343    3/7/2023  13:05:26  warc/revisit  3I42H3S6NNFQ2MSVX7XZKYAYSCX5QBYJ   \n",
              "75344    3/7/2023  13:11:50  warc/revisit  3I42H3S6NNFQ2MSVX7XZKYAYSCX5QBYJ   \n",
              "75345    3/8/2023  16:54:35  warc/revisit  3I42H3S6NNFQ2MSVX7XZKYAYSCX5QBYJ   \n",
              "75347   3/19/2023  16:14:30  warc/revisit  3I42H3S6NNFQ2MSVX7XZKYAYSCX5QBYJ   \n",
              "75348   3/20/2023  10:47:29  warc/revisit  3I42H3S6NNFQ2MSVX7XZKYAYSCX5QBYJ   \n",
              "\n",
              "      redirects_to  redirect_type  \n",
              "index                              \n",
              "1142           NaN            NaN  \n",
              "1238           NaN            NaN  \n",
              "1294           NaN            NaN  \n",
              "1295           NaN            NaN  \n",
              "1298           NaN            NaN  \n",
              "...            ...            ...  \n",
              "75343          NaN            NaN  \n",
              "75344          NaN            NaN  \n",
              "75345          NaN            NaN  \n",
              "75347          NaN            NaN  \n",
              "75348          NaN            NaN  \n",
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              "      <th>1142</th>\n",
              "      <td>2018</td>\n",
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              "      <td>-</td>\n",
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              "      <td>-</td>\n",
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              "      <th>1295</th>\n",
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              "      <th>1298</th>\n",
              "      <td>2018</td>\n",
              "      <td>https://web.archive.org/web/20181211165115/htt...</td>\n",
              "      <td>-</td>\n",
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              "      <td>16:51:15</td>\n",
              "      <td>warc/revisit</td>\n",
              "      <td>RTY3MJFUYMZLV2Y4ZWGHQA7RFMNMQNSO</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <th>...</th>\n",
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              "      <td>...</td>\n",
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              "      <th>75343</th>\n",
              "      <td>2023</td>\n",
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              "      <td>-</td>\n",
              "      <td>3/7/2023</td>\n",
              "      <td>13:05:26</td>\n",
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              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>75344</th>\n",
              "      <td>2023</td>\n",
              "      <td>https://web.archive.org/web/20230307131150/htt...</td>\n",
              "      <td>-</td>\n",
              "      <td>3/7/2023</td>\n",
              "      <td>13:11:50</td>\n",
              "      <td>warc/revisit</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
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              "      <td>2023</td>\n",
              "      <td>https://web.archive.org/web/20230308165435/htt...</td>\n",
              "      <td>-</td>\n",
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              "      <td>-</td>\n",
              "      <td>3/19/2023</td>\n",
              "      <td>16:14:30</td>\n",
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              "      <td>3I42H3S6NNFQ2MSVX7XZKYAYSCX5QBYJ</td>\n",
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              "      <td>10:47:29</td>\n",
              "      <td>warc/revisit</td>\n",
              "      <td>3I42H3S6NNFQ2MSVX7XZKYAYSCX5QBYJ</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "<p>3268 rows × 9 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-cda737d7-ed33-4339-a4d3-9219254c4ccd')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
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              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
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              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-cda737d7-ed33-4339-a4d3-9219254c4ccd button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-cda737d7-ed33-4339-a4d3-9219254c4ccd');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_redirect_not_null=data_redirect[data_redirect['redirects_to'].notnull()]"
      ],
      "metadata": {
        "id": "cIrtSsh-C3Tz"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "repr(y)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "0pS7RnOWZKM2",
        "outputId": "76822bd8-e8cb-412a-af1b-d5b5dc0eed66"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "\"'https://web.archive.org/web/20131206210233/http://instagram.com/arianagrande'\""
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x=['https://web.archive.org/web/20131206210233/http://instagram.com/arianagrande']"
      ],
      "metadata": {
        "id": "tIdtiwLi9LvT"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "disinfo_df=pd.read_csv('disinfo_12.csv')\n",
        "get_frequency_of_status_codes(disinfo_df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "J5Md7BBg02pO",
        "outputId": "117b3e78-d380-45c4-d7e9-fda481704007"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "302    1050\n",
              "301     949\n",
              "-       111\n",
              "200      89\n",
              "429       4\n",
              "Name: status_code, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "health_official_df=pd.read_csv('health_officials.csv')\n",
        "ho_df_redirect=health_official_df[health_official_df['status_code'].isin(['301', '302', '-'])]\n",
        "get_frequency_of_status_codes(health_official_df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kw8oBX4UNgsb",
        "outputId": "1c8d2792-b082-4b09-ddaf-2c05a540581e"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "302    3007\n",
              "200    1519\n",
              "301    1080\n",
              "-       482\n",
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              "560       2\n",
              "503       1\n",
              "404       1\n",
              "Name: status_code, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10, 6))\n",
        "years=[2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023]\n",
        "sns.set_style(\"whitegrid\", {'axes.grid' : False})\n",
        "\n",
        "lineplot=sns.lineplot(x=years, y=percentage_redirect_to_login, marker='o')\n",
        "plt.xticks(years)\n",
        "plt.xlabel('Year')\n",
        "plt.ylabel('Percentage of Redirects to Login')\n",
        "plt.title('Percentage of 3xx and warc/revisits that Redirects to Login')\n",
        "# Add percentage annotations to the line plot\n",
        "#for i in range(len(years)):\n",
        "    #lineplot.annotate(f'{percentage_replayable_list[i]}%', (years[i], percentage_replayable_list[i]), ha='center', va='bottom')\n",
        "\n",
        "# Show the plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 573
        },
        "id": "s-VFH0xhGd1w",
        "outputId": "79be727c-cf05-4de1-e71c-b39067e3bd94"
      },
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "years=[2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023]\n",
        "dataset=[]\n",
        "for i in range(0,12):\n",
        "  dataset.append('Top 25 Most Followed Instagram Accounts')\n",
        "for i in range(0,12):\n",
        "  dataset.append('Disinformation Dozen')\n",
        "for i in range(0,12):\n",
        "  dataset.append('Health Authorities')\n",
        "\n",
        "percentage_replayable_top_25=[]\n",
        "for year in range(2012,2024):\n",
        "  percent=get_percentage_replayable_for_year(data, year)\n",
        "  percentage_replayable_top_25.append(percent)\n",
        "print(percentage_replayable_top_25)\n",
        "\n",
        "percentage_replayable_disinfo_12=[]\n",
        "for year in range(2012,2024):\n",
        "  percent=get_percentage_replayable_for_year(disinfo_df, year)\n",
        "  percentage_replayable_disinfo_12.append(percent)\n",
        "print(percentage_replayable_disinfo_12)\n",
        "\n",
        "percentage_replayable_health_officials=[]\n",
        "for year in range(2012,2024):\n",
        "  percent=get_percentage_replayable_for_year(health_official_df, year)\n",
        "  percentage_replayable_health_officials.append(percent)\n",
        "print(percentage_replayable_health_officials)\n",
        "\n",
        "all_mementos_dict={'Year':years+years+years, 'Percentage Replayable': percentage_replayable_top_25+percentage_replayable_disinfo_12+percentage_replayable_health_officials, 'Dataset': dataset}\n",
        "input=pd.DataFrame(all_mementos_dict)\n",
        "print(input)\n",
        "'''percentage_replayable_top_25=[]\n",
        "years=[2011, 2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023]\n",
        "\n",
        "for year in range(2011,2024):\n",
        "  percent=get_percentage_replyable_for_year(data, year)\n",
        "  percentage_replayable_top_25.append(percent)\n",
        "print(percentage_replayable_top_25)'''"
      ],
      "metadata": {
        "id": "PaLHMRhd7oaO",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "aaf91eb5-a8c2-44e3-f5ed-9d2f70aa2a95"
      },
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "replayable in 2012:  111\n",
            "total in 2012:  130\n",
            "percentage replayable in 2012 : \n",
            "85.38%\n",
            "replayable in 2013:  562\n",
            "total in 2013:  609\n",
            "percentage replayable in 2013 : \n",
            "92.28%\n",
            "replayable in 2014:  4717\n",
            "total in 2014:  4742\n",
            "percentage replayable in 2014 : \n",
            "99.47%\n",
            "replayable in 2015:  5368\n",
            "total in 2015:  5398\n",
            "percentage replayable in 2015 : \n",
            "99.44%\n",
            "replayable in 2016:  4669\n",
            "total in 2016:  4869\n",
            "percentage replayable in 2016 : \n",
            "95.89%\n",
            "replayable in 2017:  5123\n",
            "total in 2017:  5189\n",
            "percentage replayable in 2017 : \n",
            "98.73%\n",
            "replayable in 2018:  3149\n",
            "total in 2018:  3206\n",
            "percentage replayable in 2018 : \n",
            "98.22%\n",
            "replayable in 2019:  1359\n",
            "total in 2019:  1750\n",
            "percentage replayable in 2019 : \n",
            "77.66%\n",
            "replayable in 2020:  611\n",
            "total in 2020:  5897\n",
            "percentage replayable in 2020 : \n",
            "10.36%\n",
            "replayable in 2021:  26\n",
            "total in 2021:  8518\n",
            "percentage replayable in 2021 : \n",
            "0.31%\n",
            "replayable in 2022:  2605\n",
            "total in 2022:  16517\n",
            "percentage replayable in 2022 : \n",
            "15.77%\n",
            "replayable in 2023:  73\n",
            "total in 2023:  3176\n",
            "percentage replayable in 2023 : \n",
            "2.30%\n",
            "[85.38, 92.28, 99.47, 99.44, 95.89, 98.73, 98.22, 77.66, 10.36, 0.31, 15.77, 2.3]\n",
            "replayable in 2012:  0\n",
            "total in 2012:  0\n",
            "percentage replayable in 2012 : \n",
            "replayable in 2013:  0\n",
            "total in 2013:  0\n",
            "percentage replayable in 2013 : \n",
            "replayable in 2014:  11\n",
            "total in 2014:  12\n",
            "percentage replayable in 2014 : \n",
            "91.67%\n",
            "replayable in 2015:  2\n",
            "total in 2015:  2\n",
            "percentage replayable in 2015 : \n",
            "100.00%\n",
            "replayable in 2016:  12\n",
            "total in 2016:  13\n",
            "percentage replayable in 2016 : \n",
            "92.31%\n",
            "replayable in 2017:  8\n",
            "total in 2017:  8\n",
            "percentage replayable in 2017 : \n",
            "100.00%\n",
            "replayable in 2018:  1\n",
            "total in 2018:  1\n",
            "percentage replayable in 2018 : \n",
            "100.00%\n",
            "replayable in 2019:  17\n",
            "total in 2019:  17\n",
            "percentage replayable in 2019 : \n",
            "100.00%\n",
            "replayable in 2020:  25\n",
            "total in 2020:  667\n",
            "percentage replayable in 2020 : \n",
            "3.75%\n",
            "replayable in 2021:  2\n",
            "total in 2021:  1174\n",
            "percentage replayable in 2021 : \n",
            "0.17%\n",
            "replayable in 2022:  11\n",
            "total in 2022:  102\n",
            "percentage replayable in 2022 : \n",
            "10.78%\n",
            "replayable in 2023:  7\n",
            "total in 2023:  66\n",
            "percentage replayable in 2023 : \n",
            "10.61%\n",
            "[nan, nan, 91.67, 100.0, 92.31, 100.0, 100.0, 100.0, 3.75, 0.17, 10.78, 10.61]\n",
            "replayable in 2012:  0\n",
            "total in 2012:  0\n",
            "percentage replayable in 2012 : \n",
            "replayable in 2013:  10\n",
            "total in 2013:  10\n",
            "percentage replayable in 2013 : \n",
            "100.00%\n",
            "replayable in 2014:  35\n",
            "total in 2014:  38\n",
            "percentage replayable in 2014 : \n",
            "92.11%\n",
            "replayable in 2015:  47\n",
            "total in 2015:  48\n",
            "percentage replayable in 2015 : \n",
            "97.92%\n",
            "replayable in 2016:  112\n",
            "total in 2016:  113\n",
            "percentage replayable in 2016 : \n",
            "99.12%\n",
            "replayable in 2017:  64\n",
            "total in 2017:  65\n",
            "percentage replayable in 2017 : \n",
            "98.46%\n",
            "replayable in 2018:  73\n",
            "total in 2018:  73\n",
            "percentage replayable in 2018 : \n",
            "100.00%\n",
            "replayable in 2019:  284\n",
            "total in 2019:  298\n",
            "percentage replayable in 2019 : \n",
            "95.30%\n",
            "replayable in 2020:  644\n",
            "total in 2020:  2982\n",
            "percentage replayable in 2020 : \n",
            "21.60%\n",
            "replayable in 2021:  6\n",
            "total in 2021:  830\n",
            "percentage replayable in 2021 : \n",
            "0.72%\n",
            "replayable in 2022:  264\n",
            "total in 2022:  859\n",
            "percentage replayable in 2022 : \n",
            "30.73%\n",
            "replayable in 2023:  26\n",
            "total in 2023:  193\n",
            "percentage replayable in 2023 : \n",
            "13.47%\n",
            "[nan, 100.0, 92.11, 97.92, 99.12, 98.46, 100.0, 95.3, 21.6, 0.72, 30.73, 13.47]\n",
            "    Year  Percentage Replayable                                  Dataset\n",
            "0   2012                  85.38  Top 25 Most Followed Instagram Accounts\n",
            "1   2013                  92.28  Top 25 Most Followed Instagram Accounts\n",
            "2   2014                  99.47  Top 25 Most Followed Instagram Accounts\n",
            "3   2015                  99.44  Top 25 Most Followed Instagram Accounts\n",
            "4   2016                  95.89  Top 25 Most Followed Instagram Accounts\n",
            "5   2017                  98.73  Top 25 Most Followed Instagram Accounts\n",
            "6   2018                  98.22  Top 25 Most Followed Instagram Accounts\n",
            "7   2019                  77.66  Top 25 Most Followed Instagram Accounts\n",
            "8   2020                  10.36  Top 25 Most Followed Instagram Accounts\n",
            "9   2021                   0.31  Top 25 Most Followed Instagram Accounts\n",
            "10  2022                  15.77  Top 25 Most Followed Instagram Accounts\n",
            "11  2023                   2.30  Top 25 Most Followed Instagram Accounts\n",
            "12  2012                    NaN                     Disinformation Dozen\n",
            "13  2013                    NaN                     Disinformation Dozen\n",
            "14  2014                  91.67                     Disinformation Dozen\n",
            "15  2015                 100.00                     Disinformation Dozen\n",
            "16  2016                  92.31                     Disinformation Dozen\n",
            "17  2017                 100.00                     Disinformation Dozen\n",
            "18  2018                 100.00                     Disinformation Dozen\n",
            "19  2019                 100.00                     Disinformation Dozen\n",
            "20  2020                   3.75                     Disinformation Dozen\n",
            "21  2021                   0.17                     Disinformation Dozen\n",
            "22  2022                  10.78                     Disinformation Dozen\n",
            "23  2023                  10.61                     Disinformation Dozen\n",
            "24  2012                    NaN                       Health Authorities\n",
            "25  2013                 100.00                       Health Authorities\n",
            "26  2014                  92.11                       Health Authorities\n",
            "27  2015                  97.92                       Health Authorities\n",
            "28  2016                  99.12                       Health Authorities\n",
            "29  2017                  98.46                       Health Authorities\n",
            "30  2018                 100.00                       Health Authorities\n",
            "31  2019                  95.30                       Health Authorities\n",
            "32  2020                  21.60                       Health Authorities\n",
            "33  2021                   0.72                       Health Authorities\n",
            "34  2022                  30.73                       Health Authorities\n",
            "35  2023                  13.47                       Health Authorities\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'percentage_replayable_top_25=[]\\nyears=[2011, 2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023]\\n\\nfor year in range(2011,2024):\\n  percent=get_percentage_replyable_for_year(data, year)\\n  percentage_replayable_top_25.append(percent)\\nprint(percentage_replayable_top_25)'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10, 6))\n",
        "\n",
        "ax = sns.lineplot(data=input, x=\"Year\", y=\"Percentage Replayable\", hue=\"Dataset\", legend=\"full\", marker='o' )\n",
        "plt.legend(bbox_to_anchor=(1.02, 1), loc='upper left');\n",
        "ax.set_xlabel (\"Year\")\n",
        "ax.set_ylabel (\"Percentage Replayable\")\n",
        "#ax.set_title (\"\");\n",
        "\n",
        "# Show the plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 499
        },
        "id": "iMJVapP5DLDH",
        "outputId": "da5b5aa0-289f-4d9f-b80f-66864e9b9503"
      },
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "months=[1,2,3,4,5,6,7,8,9,10,11,12]\n",
        "year=2019\n",
        "\n",
        "dataset=[]\n",
        "for i in range(0,12):\n",
        "  dataset.append('Top 25 Most Followed Instagram Accounts')\n",
        "\n",
        "percentage_replayable_top_25=[]\n",
        "for month in months:\n",
        "  percentage_replayable=get_percentage_replayable_by_month(data, month, year)\n",
        "  percentage_replayable_top_25.append(percentage_replayable)\n",
        "print(percentage_replayable_top_25)\n",
        "\n",
        "\n",
        "months=['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']\n",
        "\n",
        "all_mementos_dict={'Months':months, 'Percentage Replayable': percentage_replayable_top_25, 'Dataset': dataset}\n",
        "input=pd.DataFrame(all_mementos_dict)\n",
        "print(input)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "6824a365-9233-4e03-a9d6-71524fd9f9d5",
        "id": "1SwUGjCCQauH"
      },
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "replayable in 2019:  214\n",
            "total in 2019:  222\n",
            "percentage replayable in 2019 : \n",
            "96.40%\n",
            "replayable in 2019:  152\n",
            "total in 2019:  155\n",
            "percentage replayable in 2019 : \n",
            "98.06%\n",
            "replayable in 2019:  134\n",
            "total in 2019:  137\n",
            "percentage replayable in 2019 : \n",
            "97.81%\n",
            "replayable in 2019:  143\n",
            "total in 2019:  144\n",
            "percentage replayable in 2019 : \n",
            "99.31%\n",
            "replayable in 2019:  108\n",
            "total in 2019:  109\n",
            "percentage replayable in 2019 : \n",
            "99.08%\n",
            "replayable in 2019:  84\n",
            "total in 2019:  84\n",
            "percentage replayable in 2019 : \n",
            "100.00%\n",
            "replayable in 2019:  89\n",
            "total in 2019:  89\n",
            "percentage replayable in 2019 : \n",
            "100.00%\n",
            "replayable in 2019:  99\n",
            "total in 2019:  100\n",
            "percentage replayable in 2019 : \n",
            "99.00%\n",
            "replayable in 2019:  39\n",
            "total in 2019:  45\n",
            "percentage replayable in 2019 : \n",
            "86.67%\n",
            "replayable in 2019:  129\n",
            "total in 2019:  379\n",
            "percentage replayable in 2019 : \n",
            "34.04%\n",
            "replayable in 2019:  66\n",
            "total in 2019:  171\n",
            "percentage replayable in 2019 : \n",
            "38.60%\n",
            "replayable in 2019:  102\n",
            "total in 2019:  115\n",
            "percentage replayable in 2019 : \n",
            "88.70%\n",
            "[96.4, 98.06, 97.81, 99.31, 99.08, 100.0, 100.0, 99.0, 86.67, 34.04, 38.6, 88.7]\n",
            "   Months  Percentage Replayable                                  Dataset\n",
            "0     Jan                  96.40  Top 25 Most Followed Instagram Accounts\n",
            "1     Feb                  98.06  Top 25 Most Followed Instagram Accounts\n",
            "2     Mar                  97.81  Top 25 Most Followed Instagram Accounts\n",
            "3     Apr                  99.31  Top 25 Most Followed Instagram Accounts\n",
            "4     May                  99.08  Top 25 Most Followed Instagram Accounts\n",
            "5     Jun                 100.00  Top 25 Most Followed Instagram Accounts\n",
            "6     Jul                 100.00  Top 25 Most Followed Instagram Accounts\n",
            "7     Aug                  99.00  Top 25 Most Followed Instagram Accounts\n",
            "8     Sep                  86.67  Top 25 Most Followed Instagram Accounts\n",
            "9     Oct                  34.04  Top 25 Most Followed Instagram Accounts\n",
            "10    Nov                  38.60  Top 25 Most Followed Instagram Accounts\n",
            "11    Dec                  88.70  Top 25 Most Followed Instagram Accounts\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'percentage_replayable_top_25=[]\\nyears=[2011, 2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023]\\n\\nfor year in range(2011,2024):\\n  percent=get_percentage_replyable_for_year(data, year)\\n  percentage_replayable_top_25.append(percent)\\nprint(percentage_replayable_top_25)'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10, 6))\n",
        "\n",
        "ax = sns.lineplot( x=months, y=percentage_replayable_top_25,  marker='o' )\n",
        "#plt.legend(bbox_to_anchor=(1.02, 1), loc='upper left');\n",
        "ax.set_xlabel (\"Month\")\n",
        "ax.set_ylabel (\"Percentage Replayable\")\n",
        "plt.ylim(0, 100)\n",
        "#ax.set_title (\"\");\n",
        "\n",
        "# Show the plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 547
        },
        "id": "8HD2odQyRe71",
        "outputId": "c1eafde1-d4e1-4f0d-b7de-5ad563c04424"
      },
      "execution_count": 63,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "months=[1,2,3,4,5,6,7,8,9,10,11,12]\n",
        "year=2020\n",
        "\n",
        "dataset=[]\n",
        "for i in range(0,12):\n",
        "  dataset.append('Top 25 Most Followed Instagram Accounts')\n",
        "\n",
        "percentage_replayable_top_25=[]\n",
        "for month in months:\n",
        "  percentage_replayable=get_percentage_replayable_by_month(data, month, year)\n",
        "  percentage_replayable_top_25.append(percentage_replayable)\n",
        "print(percentage_replayable_top_25)\n",
        "\n",
        "\n",
        "months=['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']\n",
        "\n",
        "all_mementos_dict={'Months':months, 'Percentage Replayable': percentage_replayable_top_25, 'Dataset': dataset}\n",
        "input=pd.DataFrame(all_mementos_dict)\n",
        "print(input)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NR_jDaB2Tlev",
        "outputId": "051bf1ed-b3bd-4af2-a3ba-2f538e08e172"
      },
      "execution_count": 64,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "replayable in 2020:  83\n",
            "total in 2020:  111\n",
            "percentage replayable in 2020 : \n",
            "74.77%\n",
            "replayable in 2020:  59\n",
            "total in 2020:  79\n",
            "percentage replayable in 2020 : \n",
            "74.68%\n",
            "replayable in 2020:  39\n",
            "total in 2020:  65\n",
            "percentage replayable in 2020 : \n",
            "60.00%\n",
            "replayable in 2020:  61\n",
            "total in 2020:  93\n",
            "percentage replayable in 2020 : \n",
            "65.59%\n",
            "replayable in 2020:  119\n",
            "total in 2020:  299\n",
            "percentage replayable in 2020 : \n",
            "39.80%\n",
            "replayable in 2020:  21\n",
            "total in 2020:  113\n",
            "percentage replayable in 2020 : \n",
            "18.58%\n",
            "replayable in 2020:  0\n",
            "total in 2020:  124\n",
            "percentage replayable in 2020 : \n",
            "0.00%\n",
            "replayable in 2020:  13\n",
            "total in 2020:  117\n",
            "percentage replayable in 2020 : \n",
            "11.11%\n",
            "replayable in 2020:  32\n",
            "total in 2020:  182\n",
            "percentage replayable in 2020 : \n",
            "17.58%\n",
            "replayable in 2020:  52\n",
            "total in 2020:  175\n",
            "percentage replayable in 2020 : \n",
            "29.71%\n",
            "replayable in 2020:  131\n",
            "total in 2020:  3325\n",
            "percentage replayable in 2020 : \n",
            "3.94%\n",
            "replayable in 2020:  1\n",
            "total in 2020:  1214\n",
            "percentage replayable in 2020 : \n",
            "0.08%\n",
            "[74.77, 74.68, 60.0, 65.59, 39.8, 18.58, 0.0, 11.11, 17.58, 29.71, 3.94, 0.08]\n",
            "   Months  Percentage Replayable                                  Dataset\n",
            "0     Jan                  74.77  Top 25 Most Followed Instagram Accounts\n",
            "1     Feb                  74.68  Top 25 Most Followed Instagram Accounts\n",
            "2     Mar                  60.00  Top 25 Most Followed Instagram Accounts\n",
            "3     Apr                  65.59  Top 25 Most Followed Instagram Accounts\n",
            "4     May                  39.80  Top 25 Most Followed Instagram Accounts\n",
            "5     Jun                  18.58  Top 25 Most Followed Instagram Accounts\n",
            "6     Jul                   0.00  Top 25 Most Followed Instagram Accounts\n",
            "7     Aug                  11.11  Top 25 Most Followed Instagram Accounts\n",
            "8     Sep                  17.58  Top 25 Most Followed Instagram Accounts\n",
            "9     Oct                  29.71  Top 25 Most Followed Instagram Accounts\n",
            "10    Nov                   3.94  Top 25 Most Followed Instagram Accounts\n",
            "11    Dec                   0.08  Top 25 Most Followed Instagram Accounts\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10, 6))\n",
        "\n",
        "ax = sns.lineplot( x=months, y=percentage_replayable_top_25,  marker='o' )\n",
        "#plt.legend(bbox_to_anchor=(1.02, 1), loc='upper left');\n",
        "ax.set_xlabel (\"Month\")\n",
        "ax.set_ylabel (\"Percentage Replayable\")\n",
        "plt.ylim(0, 100)\n",
        "#ax.set_title (\"\");\n",
        "\n",
        "# Show the plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 547
        },
        "id": "mma3Ama0W3bT",
        "outputId": "1e6370db-08ff-4d05-faef-877e5d46dc8f"
      },
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "years=[2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023]\n",
        "dataset=[]\n",
        "for i in range(0,13):\n",
        "  dataset.append('Top 25 Most Followed Instagram Accounts')\n",
        "for i in range(0,13):\n",
        "  dataset.append('Disinformation Dozen')\n",
        "for i in range(0,13):\n",
        "  dataset.append('Health Authorities')\n",
        "\n",
        "successes_top_25=[]\n",
        "for year in range(2011,2024):\n",
        "  successes=get_successes_per_year(data, year)\n",
        "  successes_top_25.append(successes)\n",
        "\n",
        "successes_disinfo_12=[]\n",
        "for year in range(2011,2024):\n",
        "  successes=get_successes_per_year(disinfo_df, year)\n",
        "  successes_disinfo_12.append(successes)\n",
        "\n",
        "\n",
        "successes_health_officials=[]\n",
        "for year in range(2011,2024):\n",
        "  successes=get_successes_per_year(health_official_df, year)\n",
        "  successes_health_officials.append(successes)\n",
        "\n",
        "all_mementos_dict={'Year':years+years+years, 'Successes': successes_top_25+successes_disinfo_12+successes_health_officials, 'Dataset': dataset}\n",
        "input=pd.DataFrame(all_mementos_dict)\n",
        "print(input)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0_PGBHEdURKk",
        "outputId": "0d3035f3-8dd2-4da1-88bc-de6db8c5e1be"
      },
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "    Year  Successes                                  Dataset\n",
            "0   2011          0  Top 25 Most Followed Instagram Accounts\n",
            "1   2012        111  Top 25 Most Followed Instagram Accounts\n",
            "2   2013        562  Top 25 Most Followed Instagram Accounts\n",
            "3   2014       4717  Top 25 Most Followed Instagram Accounts\n",
            "4   2015       5373  Top 25 Most Followed Instagram Accounts\n",
            "5   2016       4707  Top 25 Most Followed Instagram Accounts\n",
            "6   2017       5141  Top 25 Most Followed Instagram Accounts\n",
            "7   2018       3158  Top 25 Most Followed Instagram Accounts\n",
            "8   2019       1359  Top 25 Most Followed Instagram Accounts\n",
            "9   2020        611  Top 25 Most Followed Instagram Accounts\n",
            "10  2021         26  Top 25 Most Followed Instagram Accounts\n",
            "11  2022       2920  Top 25 Most Followed Instagram Accounts\n",
            "12  2023        476  Top 25 Most Followed Instagram Accounts\n",
            "13  2011          0                     Disinformation Dozen\n",
            "14  2012          0                     Disinformation Dozen\n",
            "15  2013          0                     Disinformation Dozen\n",
            "16  2014         11                     Disinformation Dozen\n",
            "17  2015          2                     Disinformation Dozen\n",
            "18  2016         12                     Disinformation Dozen\n",
            "19  2017          8                     Disinformation Dozen\n",
            "20  2018          1                     Disinformation Dozen\n",
            "21  2019         17                     Disinformation Dozen\n",
            "22  2020         25                     Disinformation Dozen\n",
            "23  2021          2                     Disinformation Dozen\n",
            "24  2022         13                     Disinformation Dozen\n",
            "25  2023          9                     Disinformation Dozen\n",
            "26  2011          0                       Health Authorities\n",
            "27  2012          0                       Health Authorities\n",
            "28  2013         10                       Health Authorities\n",
            "29  2014         35                       Health Authorities\n",
            "30  2015         47                       Health Authorities\n",
            "31  2016        112                       Health Authorities\n",
            "32  2017         64                       Health Authorities\n",
            "33  2018         73                       Health Authorities\n",
            "34  2019        284                       Health Authorities\n",
            "35  2020        644                       Health Authorities\n",
            "36  2021          6                       Health Authorities\n",
            "37  2022        273                       Health Authorities\n",
            "38  2023         39                       Health Authorities\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10, 6))\n",
        "\n",
        "ax = sns.lineplot(data=input, x='Year', y='Successes',  marker='o', hue='Dataset' )\n",
        "#plt.legend(bbox_to_anchor=(1.02, 1), loc='upper left');\n",
        "ax.set_xlabel (\"Year\")\n",
        "ax.set_ylabel (\"Replayable Mementos\")\n",
        "plt.xlim(2011, 2023)\n",
        "#ax.set_title (\"\");\n",
        "\n",
        "# Show the plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "5b4dc69c-85e5-4e4d-e759-7660fda37829",
        "id": "UXCEG0T-UReD"
      },
      "execution_count": 72,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "CVTVuGrVawQh"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib\n",
        "# Sample data\n",
        "\n",
        "# Convert data to DataFrame\n",
        "df = pd.DataFrame(legend, index=years)\n",
        "\n",
        "# Plotting\n",
        "ax = df.plot(kind='bar', stacked=True, figsize=(10, 6))\n",
        "ax.set_ylabel('Count')\n",
        "ax.set_xlabel('Year')\n",
        "ax.set_title('Status Codes by Year')\n",
        "\n",
        "# Show the plot\n",
        "plt.show()\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 596
        },
        "id": "Xs2Zz_ssFKcP",
        "outputId": "9c58ee48-9d3f-418e-b89e-1ff1265f0834"
      },
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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uXbu0evVqJSUlqWzZsnrhhRf0yiuvWD28e9SoUZowYYLmzJmjGzduqEOHDqpRo4bGjh0rBwcHbdy4UTdv3lTNmjW1bNky9e7d26qvEiVKaPLkyVq4cKHGjh2rlJQUrVixQsWLF9fzzz+vs2fPau3atfrvf/+rWrVqadmyZZbngqXp1q2bvv/+e+3du1eJiYkqW7ashg4dql69et33WmvUqKGNGzcqPDxcO3fu1IYNG+Tg4CAPDw/17dvXKgAOHjxYrq6u+uSTTzRt2jQ5Ozvr+eef12uvvWZ5xpskde7cWSkpKQoPD9eMGTPk5eWlDz/8UO+//75V3w4ODpo/f74++ugjbdiwQd99950KFSqk8uXLq1u3bnJ3d5d066Hk586d0xdffKErV66oWLFiqlu3rgYPHpxuB8uM1KlTR35+fpo/f77+/vtvPfnkk5o2bVqGG7o0btxYzs7OSk1NVdOmTe/bdmY88cQTWrNmjebPn6/vvvtOq1atkouLi5588kmNGDHCUtexY0f9+++/Wr16tfbs2aMnn3xS7777rrZs2WIJeACQVxjMj3qHOAAAeKwlJyerQYMGaty4saZOnZrTwwGAPIt73gAAwD1t27ZN0dHRat++fU4PBQDyNJZNAgCADP3yyy/6/fff9cEHH8jHx0d169bN6SEBQJ5GeAMAABlatWqVvvrqK1WuXFnTp0/P6eEAQJ7HPW8AAAAAYAe45w0AAAAA7ADhDQAAAADsAPe85ZCIiAiZzWarZwABAAAAyHuSkpJkMBjk7+9/zzrCWw4xm83idkMAAAAAmc0FhLcckjbj5uvrm8MjAQAAAJCTjhw5kqk67nkDAAAAADtAeAMAAAAAO0B4AwAAAAA7QHgDAAAAADvAhiV2ICUlRUlJSTk9DMCmHB0dlS9fvpweBgAAQK5BeMvFzGazzp8/r6tXr+b0UIAc4eLiotKlS8tgMOT0UAAAAHIc4S0XSwtuJUuWVOHChfkCizzDbDbr+vXrunjxoiSpTJkyOTwiAACAnEd4y6VSUlIswa148eI5PRzA5goVKiRJunjxokqWLMkSSgAAkOexYUkulXaPW+HChXN4JEDOSfvzzz2fAAAAhLdcj6WSyMv48w8AAPA/hDcAAAAAsAOENwAAAACwA4Q3AAAAALADhDc7lJpqtqt+v/nmG73yyisKCQmRn5+f2rVrp7Vr18pstu117Ny5UyEhIUpMTLRpv7nF2bNn5efnp7Nnz+b0UAAAAPAQeFSAHXJwMOi9lT/r7IU4m/VZvpSTRrxY66He+9FHH6lcuXIaNWqUihUrpn379mn8+PE6f/68Bg0alMUjzZjZbNbs2bPVo0cPGY1Gm/SZ25QvX14tWrTQvHnz9M477+T0cAAAAPCACG926uyFOJ06F5PTw8iUDz/8UK6urpbXgYGBunr1qpYtW6YBAwbIwSH7J4B//PFHnTx5Uu3bt8/2vnKz5557Tv/5z380cuRIq98TAAAA5H4sm0S2yygkVKlSRfHx8bp+/bokadu2bfL29taOHTssNVevXlWDBg302muvZbrmbr788kvVqVPHaixJSUl655131KhRI1WrVk3BwcHq37+/4uJuzWiuW7dO3t7eio6OtmqrXbt2GjVqlNWxiIgI9ezZUzVr1pS/v786deqkvXv3Ws4nJiZq9uzZatq0qapVq6aQkJAM23j55Zfl5+enWrVqafjw4bp8+bJVzaJFi9S8eXP5+vqqXr166tGjh86cOZPp87Vq1ZKLi4s2btx4z88LAAAAuQ8zb8gRP//8s0qVKqWiRYtKkpo1a6b27dtr3Lhx2rhxo1xdXTV58mRJ0sSJEzNdczf79u3Ts88+a3Vs4cKF+uyzzzRixAg99dRTunLlivbu3fvA98T9/PPP6t69u/z8/DRlyhSZTCYdPXpUf//9t6Vm8ODB+uGHH9SvXz/5+fkpOjpaW7dutZyPiIhQt27d1LBhQ82ePVsJCQmaM2eOBgwYoNWrV0u6FUDff/99DRkyRH5+foqLi9PPP/+sa9euZeq8JDk4OKhGjRrat2+funfv/kDXCQAAgJxFeIPN/fTTT9q8ebNGjhxpdXzcuHF65plnNGHCBLVs2VKbN2/WkiVL5Ozs/EA1d7p48aIuXLggb29vq+NHjhxRcHCwXnzxRcuxFi1aPPD1vPvuu6pYsaKWL1+ufPnySZKCg4Mt5/fu3audO3dq5syZatOmjeX47b+eOXOmqlWrprCwMMuDqb28vNSmTRvt2rVLDRs21OHDh+Xt7a1+/fpZ3tesWTPLr+93Pk3lypW1cuXKB75OAAAA5CyWTcKmzp8/r2HDhikgIEAvv/yy1TknJydNmzZN27Zt0+jRo9W1a1c1aNDggWvudOnSJUnpl2/6+Pho165dmjdvng4fPqzU1NQHvp6EhAT98ssvat++vSW43Wn//v0qVKiQWrdufdc2Dh48qJYtWyolJUXJyclKTk5WpUqVVKZMGR05csQy3uPHj2vatGn66aeflJSUlO567nU+TbFixXTlypW7ngcAAEDuxMwbbCY2NlZ9+vSRi4uL5s2bl+FGJbVq1VLZsmV17tw5vfTSSxm2k5ma2928eVOS0u0y+corr8jBwUHr169XWFiYXF1d9eKLL2rgwIGW2a/MXFNqaqpKlix515qrV6+qRIkSd20zNjZWKSkpmjZtmqZNm5bu/D///CNJ6tixo65du6bPP/9cH330kZycnNS+fXuNGDFCBQsWvO/5NGmfw82bN+Xo6Jip6wQAAPbPnJoqgw02isvpPh9nhDfYxI0bN9SvXz/FxcVp9erVcnJyyrBu7ty5unLliipVqqTJkydrxYoV6UJPZmpul7akMjY21uq40WjU4MGDNXjwYJ0+fVpffPGF5s2bp/Lly6t9+/YqUKCAJKWbobq9HScnJzk4OOjixYt37d/FxUWXLl2S2WzOcJxOTk4yGAzq169fhsscixUrJunW/Wrdu3dX9+7ddeHCBW3atEkzZ85UsWLFNHDgwPuev338jo6OlvsNAQBA3mBwcNCJWXN0/Yxtnvla2K28vF4bapO+8grCm50qXyrj8JMb+0tOTtbQoUMVGRmplStXqlSpUhnWHTx4UOHh4Zo0aZJ8fHzUpUsXLV++XD169HigmnRjL19ejo6O93w4dcWKFfXaa69p9erVioyMlCTLOCMjIy2/PnXqlGUmTJIKFy4sPz8/bdiwQT179sxw6WT9+vW1ePFiffPNNwoNDU13Pq2NyMhI+fr63nWMtytVqpR69uypr7/+2jLezJ4/d+6c3N3dM9UPAAB4vFw/c1bXIqNyehh4SIQ3O5Saan7oB2Y/ar8ODplbTni7yZMna8eOHRo1apTi4+N16NAhyzkfHx8ZjUZdv35dI0eOVHBwsDp37ixJ6t+/v2bNmqUGDRrI09MzUzUZKVCggKpVq6Zjx45ZHR8wYICqVq0qHx8fFSpUSDt27FBMTIzq1asnSapRo4bKlCmjqVOnavjw4YqPj9eiRYvk4uJi1c7w4cPVo0cP9ejRQy+88IKcnZ117NgxFStWTM8995zq16+vhg0basyYMfrrr79Uo0YNXb16Vd9++63mzJkjSXrjjTfUvXt3DR06VK1bt5bJZNL58+e1b98+dezYUQEBAZowYYJMJpP8/PxkMpl08OBB/fbbb+ratask3fd8mqNHj6pWLdv/+QEAAMCjMZjNZnNODyIvStuE4m4zLTdu3FBUVJTc3d2t7leyR02aNNG5c+cyPLd9+3aVL19eEyZM0LfffquNGzda7h9LTk62hLTVq1frzTffvG9N/vwZ/3vEsmXL9NFHH2nnzp2WpYtLlizRN998o9OnTyslJUXu7u7q2bOn1S6QR48e1aRJk3Ty5ElVqFBBY8aM0fTp01WlShVNnz7dUnfw4EHNmTNHhw8floODg5566ikNHTpUgYGBkm7dXxYWFqavv/5aly5dUvHixRUUFKSpU6da2jhy5IjmzZungwcPKikpSaVLl1a9evX0yiuvqHTp0lq/fr0+//xzRUZGKiEhQW5uburSpYu6desmSfc9L0mXL19WgwYNFB4ebhlbbvY4/XcAAEBucGjYCJvNvBXxcJff7Pds0pe9u182SEN4yyF5KbzlBtHR0WrYsKGWLl2qOnXq5PRwcszKlSv10UcfaevWrZnelCUn8d8BAABZi/CWO2U2vLH1C/IEV1dXde3aVcuXL8/poeSY1NRUrVix4oF20wQAAEDuQXhDntG/f39VrlxZiYmJOT2UHHHx4kV16NBBbdu2zemhAAAA4CGwYQnyDFdXVw0aNCinh5FjSpcurf79++f0MAAAAPCQmHkDAAAAADtAeAMAAAAAO0B4AwAAAAA7QHgDAAAAADtAeAMAAAAAO0B4AwAAAAA7QHizQ+bUVLvqd9euXXrppZdUr149VatWTU2bNtW0adMUFxeXxSO8t99//13+/v6Kjo7Otj5iY2Pl7e2tdevWWY41adJEb775Zrb1eadt27Zp5cqVD/y+cePGady4cdkwIgAAAGQFnvNmhwwODrr45RwlXj5rsz6NxcurZPuhD/Xeq1evqnr16urWrZtcXFx08uRJzZs3TydPntTSpUuzdqD3MGfOHHXs2FGurq4261OSwsLCZDKZbNbftm3bdPToUb344osP9L4+ffqodevW6t27typVqpQ9gwMAAMBDI7zZqcTLZ5V4Piqnh5Ep7dq1s3odEBAgo9Go8ePH68KFCypVqlS2j+HMmTPasWOH1YxYRm7cuKGCBQtmad8+Pj73PG82m5WUlCSj0Zil/T6oihUrqmbNmlq5cqXGjh2bo2MBAABAeiybRI5wcXGRJCUlJUmSjhw5oqpVq+qTTz6x1CQmJqpt27bq2rWrUlNTM1VzN19++aXc3NysgtTZs2ctSxzHjRungIAAderUydLurFmz1LhxY1WrVk2tWrXSxo0b07X7+eefq0mTJqpRo4a6d++u06dPp6u5c9nkqFGj1KZNG+3atUtt27aVr6+vvv/+e0lSRESEXn75Zfn5+alWrVoaPny4Ll++bNVeYmKiZs+eraZNm6patWoKCQnRqFGjLG2vX79eJ0+elLe3t7y9vS3nTp48qT59+iggIEA1atRQixYttHjxYqu2W7ZsqY0bNyo5OfmunyUAAAByBjNvsJmUlBQlJyfrjz/+0Pz589WkSROVL19ekuTr66t+/frp3XffVf369eXh4aH3339fZ86c0YYNG+Tg4JCpmrvZt2+f/P39Mzw3a9YsNWzYUDNnzrQEwFdffVUHDx7UwIED5enpqV27dun111+XyWRSw4YNJUk7duzQ+PHj1bFjR4WGhurYsWN69dVXM/VZXLx4UVOmTNErr7yiMmXKqGzZsoqIiFC3bt3UsGFDzZ49WwkJCZozZ44GDBig1atXW947ePBg/fDDD+rXr5/8/PwUHR2trVu3SpIGDBig6OhoRUZG6r333pMkyzLR/v3764knntDbb7+tokWL6q+//tL58+etxlWzZk1duXJFv/76q3x9fTN1LQAAALANwhtspnHjxrpw4YIkqUGDBpo5c6bV+QEDBmjnzp1644039MYbb2jp0qWaNGmSKlSo8EA1dzKbzTp69KiaNWuW4fnKlSvr7bfftrz+4Ycf9P333ys8PFzBwcGSpKCgIF26dEnz5s2zhLcPP/xQtWvX1rRp0yzXdPPmTX3wwQf3/SxiYmK0ePFi1ahRw3Js7NixqlatmsLCwmQwGCRJXl5ellm6hg0bau/evdq5c6dmzpypNm3aWN6b9usKFSrI1dVVf//9t/z8/Czno6OjdfbsWY0dO1ZNmjSRJNWrVy/duJ588knly5dPhw8fJrwBAADkMiybhM0sWrRIn332maZMmaLIyEj1799fKSkplvP58+fXu+++qxMnTqhXr15q0KCBOnfubNVGZmruFBMTo8TExLtuVNKoUSOr13v37pWLi4vq1aun5ORky4/69evr119/VUpKilJSUnTs2DE1b97c6r0tWrTI1Gfh4uJiFdwSEhJ08OBBtWzZ0jJDmZycrEqVKqlMmTI6cuSIJGn//v0qVKiQWrdunal+0hQrVkzlypXTrFmztH79+nQzbmny588vJycnXbx48YHaBwAAQPZj5g02U7lyZUmSv7+/fH191a5dO3333Xdq2bKlpcbT01M+Pj6KiIi4626Jmam53c2bNyXprhuCFC9e3Or1lStXdPXqVVWtWjXD+kuXLilfvnxKTk5OFwifeOKJ+44no7rY2FilpKRo2rRplpm82/3zzz+Sbu3cWaJECcvMXGYZDAaFh4dr9uzZevPNN3X9+nVVrVpVo0ePVp06daxqjUaj5TMDAABA7pGrwtvp06cVHh6uX375RSdPnpSHh4e+/vrrdHWxsbGaO3eutmzZopiYGJUqVUovvPCCevbsaalJ29Thq6++0rVr1+Tv76/x48fLw8PDqq1Tp05pypQpioiIUJEiRdSuXTsNHTo03Rf9NWvWaMmSJfr777/l7u6uYcOGqXHjxtnzQeQB3t7ecnR01F9//WV1fNWqVTp8+LC8vb01ffp0BQQEpNv9MTM1t0vbHCU2NjbD83cGIWdnZ7m6umrRokUZ1ru6uipfvnzKnz9/umfG/fvvv3cdx736dHJyksFgUL9+/TJc3lmsWDHLtVy6dElms/mBA5y7u7vmzp2rpKQkRUREaNasWerfv792796tIkWKWOri4uIsnxkAAAByj1y1bPLkyZPatWuXKlasKE9Pzwxrrl+/rm7duungwYMaM2aMlixZoj59+shsNlvVTZkyRWvWrNGwYcM0b948JSYmqkePHlYPho6JiVH37t2VlJSkefPmadiwYfr88881ffp0q7Y2bdqk8ePHq1WrVlq8eLH8/Pw0aNAgHTp0KMs/g7zil19+UVJSkmXDEkn666+/NGPGDPXu3VsLFizQxYsX090Xl5maOxUoUEBly5bV2bOZey5e/fr1FR0dLUdHR/n6+qb7YTQalS9fPvn4+Oi7776zeu+3336byU/AWuHCheXn56fIyMgM+0z7nOrXr6+EhAR98803d23L0dHxnjNnjo6Oqlu3rvr27av4+HirJZLR0dFKSEiQu7v7Q10HAAAAsk+umnlr0qSJZdZh1KhROnr0aLqaRYsW6dq1a/rqq69UuHBhSbeeG3a78+fPa+3atZo4caKee+45Sbd2M2zcuLE+++wz9enTR5L02Wef6dq1awoLC7PMNKSkpGjy5Mnq16+f5fljc+fOVevWrTV06FBJtzZ6OHHihObPn59uq3VbMRYvf/+iXNLfoEGDVK1aNXl7e6tgwYL67bffFB4eLm9vb8vvd2pqqkaOHKkKFSpo0KBBMhqNGjt2rMaMGaOmTZuqXr16maq5m5o1a+rYsWOZGm9QUJAaN26s3r17q3fv3vL29lZCQoL++OMPnT592rK5Sf/+/TVgwACNHj3astvkhg0bHvpzeuONN9S9e3cNHTpUrVu3lslk0vnz57Vv3z517NhRAQEBql+/vho2bKgxY8bor7/+Uo0aNXT16lV9++23mjNnjqRby0q/+OILff3116pYsaKKFSum+Ph4vfPOOwoNDZWbm5vi4+O1cOFClStXzmqzl7R762rVqvXQ1wEAAIDskavC2722ek+zdu1avfjii5bglpE9e/YoNTXV6l4qFxcXBQUFaffu3Zbwtnv3bgUGBlotEWvVqpUmTpyovXv3qmPHjjpz5oz+/PNPvf7661Z9hIaGasaMGUpMTLT5w5XNqakq2X6oTftM69eQid+jO1WvXl2bN2/WokWLZDabVa5cOXXq1Em9evWyfHZLlizRkSNHtHbtWsuxjh07avv27Ro9erQ2btyoTz/99L41RYsWzXAMLVq00IgRIxQfH3/XmtvNnTtXixYt0qpVq3Tu3Dk5OTnpqaeeUseOHS01TZs21eTJk7VgwQJt2rRJNWrU0Jw5cyzPintQNWvW1Keffqp58+Zp9OjRSkpKUunSpVWvXj1VrFjRUjdv3jyFhYVp9erVCgsLU/HixRUUFGQ5/9xzz+nw4cN66623dPXqVXXo0EGvv/66nnjiCS1cuFAXLlyQk5OTateurXfffVf58uWzvPe///2vateunel79wAAAGA7BvOd6w1zibSZt9vveTt79qzlC/POnTu1Z88eFS5cWE8//bRGjx5tuW9nxowZ2rBhg/bu3WvV5uzZs7V27VrL8cDAQD377LMaMWKEVV2DBg3Url07jRgxQrt27VLfvn21efNmq6Wce/fuVc+ePdMdz6y0GY67bcd+48YNRUVFyd3d/Z73cyFzkpKS1LhxY40YMULt27fP6eHkSsnJyWrUqFGu+oz47wAAgKx1aNgIXYuMsklfRTzc5Tf7PZv0Ze/ulw3S5Kp73u4nbTOId955R87Ozlq8eLGGDRumLVu2aPz48Za62NhYOTk5pXu/yWRSTEyMVZ3JZEpX5+zsbKlL+/nOurTXt7eH3MvR0VF9+vTRihUrcnooudbXX3+tIkWKWD0/DgAAALlHrlo2eT+pqamSbu2a984770i6NXuWP39+jRs3TsOGDZObm1tODhG5WNeuXRUfH6/o6Oi7PvMtLzMYDHr77beVP79d/bUAAACQZ9jVtzRnZ2dJ6TcoSduo4uTJk3Jzc5PJZFJ8fHy698fGxlrakG7Nnt2++2SamJgYS13az3FxcSpRooRVW7efR+5nNBo1cODAnB5GrtWuXbucHgIAAADuwa6WTbq5ud1zc5C07dE9PDz077//plvSGBkZafWcNw8PD0VGRlrVxMXF6dKlS5a6tJ/vrIuMjJSjoyMzfQAAAABswq7Cm9FoVFBQkPbv3291fN++fZKkqlWrSpKCg4Pl4OCgrVu3WmpiYmK0Z88ehYSEWI6FhIRo3759Vg9v3rJlixwcHCy797m5ualSpUrasmWLVZ+bN29WYGCgzXeaBAAAAJA35aplkwkJCdq1a5ck6dy5c4qPj7eEprp168rV1VWDBg1Sly5dNHz4cHXo0EGnT5/WzJkz9cwzz1ieV1W6dGk999xzmjFjhhwcHFSqVCktXLhQTk5O6tKli6W/Ll266OOPP9bAgQPVr18/XbhwQTNmzFCXLl0sz3iTpMGDB2vEiBGqUKGCAgICtHnzZh0+fFiffPKJDT8dAAAAAHlZrgpvly9f1quvvmp1LO31ihUrFBAQoGrVqmnx4sV677339Morr8jZ2VmdO3fWsGHDrN43btw4FSlSRDNnztS1a9dUs2ZNLVu2zGoXSmdnZy1fvlxvvfWWBg4cqCJFiui5555L11abNm2UkJCgxYsXa9GiRXJ3d1dYWJj8/f2z6ZMAAAAAAGu59jlvjzue8wbcH/8dAACQtXjOW+70WD7nDQAAAADyKsIb8iSz2awGDRroyy+/tEl/o0aNeqCHX69bt07e3t6Kjo6WdOvRFPPmzdMff/yRXUMEAABALper7nlD5qSaU+VgsH3uzql+s8OxY8f077//qmHDhjbpb8CAAbp+/Xqm6xs1aqTVq1fLZDJJuhXewsLC9NRTT+nJJ5/MrmECAAAgFyO82SEHg4Pm/rBU52LP26zPcqbSGlKvp836e1ApKSlKTU2Vo6Njpup37typGjVqqFixYhmev3HjRpbeY5W2E2pmubq6ytXVNcv6BwAAgP17PKZR8qBzsecVdeWMzX48bFD86aef5O3trb/++styrH///vL29tbJkyctx1577TX17dtXkvTee+/pmWeekb+/vxo0aKDXXntNFy9etGq3W7du6tevn9avX68WLVrI19dXv/32m6RbwaxLly6qUaOG6tSpo27duun48eNW79+xY4eaNGkiSTp79qy8vb21bt06jRs3TgEBAerUqZMkKTExUbNmzVLjxo1VrVo1tWrVShs3brS0s27dOvn4+Ojff/+1av/q1auqVq2aPvvsM0npl03GxsZq3LhxatCggXx9fdWwYUOrXU5vXzZ59uxZNW3aVNKt3Ve9vb3l7e2ts2fPSpIWLVqk5s2by9fXV/Xq1VOPHj105syZTP8eAQAAwD4w84ZsVb16dRUoUEAHDhxQhQoVlJqaqp9//tly7KmnnpIkHThwQN26dZN065ER/fr1U8mSJRUdHa1ly5apW7du2rRpk/Ln/98f2aNHj+rcuXN69dVXZTKZVKZMGW3evFmvvfaamjZtqpkzZ8rR0VEHDx7UhQsX5OPjI0m6ePGijh07pmnTplmNddasWWrYsKFmzpyp1NRUSbfC0sGDBzVw4EB5enpq165dev3112UymdSwYUM1b95cEydO1JYtW/TSSy9Z2kp7QHzLli0z/FymTZum//73vxo+fLjKlSunS5cuaffu3RnWlixZUmFhYRo0aJBee+01BQQEWI5/+eWXev/99zVkyBD5+fkpLi5OP//8s65du/bAv1cAAADI3QhvyFZGo1HVq1fXTz/9pGeffVa///67EhIS1LFjRx04cEAvvPCCTp8+rYsXL6pOnTqSZBWqUlJS5O/vr5CQEP3www8KDg62nIuJidHatWtVpkwZSbc2IXnnnXcUFBSk+fPnW+ruvK9t165dKlu2rLy8vKyOV65cWW+//bbl9Q8//KDvv/9e4eHhln6DgoJ06dIlzZs3Tw0bNpSTk5MaNmyor7/+2iq8ff311woKCpKLi0uGn8uRI0fUpk0bdejQwXKsdevWd/0Mq1SpIkmqWLGi/Pz8LOcOHz4sb29v9evXz3KsWbNmGbYDAAAA+8aySWS72rVr68CBA5JuzbBVq1ZNISEhVscKFSqkatWqSboVrrp06aJatWrJx8dHISEhkqQ///zTql0vLy9LcJOkyMhInT9/Xs8+++w9x7Njxw41btw43fFGjRpZvd67d69cXFxUr149JScnW37Ur19fv/76q1JSUiTdCl2HDh3S33//LenWzN6BAwfuGsYkycfHR+vXr1d4eLhOnDhxz/Hei4+Pj44fP65p06bpp59+UlJS0kO3BQAAgNyNmTdku7p16+rDDz/UhQsX9NNPP6l27dqqXbu2/v33X/3555/66aefVKNGDTk6Ourw4cMaMGCAmjZtqj59+qh48eIyGAx6/vnndfPmTat2n3jiCavXV69elXRrOeHdJCYmav/+/Zo7d266c8WLF7d6feXKFV29elVVq1bNsK1Lly6pdOnSaty4sQoVKqRNmzapT58++uabb1SgQIF7zoCNHz9ezs7OWrZsmWbMmKEyZcqob9++euGFF+76nox07NhR165d0+eff66PPvpITk5Oat++vUaMGMFDrQEAAB4zhDdkOz8/Pzk6OurAgQOW5ZMuLi566qmndODAAR04cEDt27eXJG3btk1FixbVnDlz5OBwa2L43LlzGbZrMBisXqctUbxzc5Pb7d+/X5Is943dqz1nZ2e5urpq0aJFGbaVthtkwYIF1axZM23evFl9+vTR5s2b1bhxYxUuXPiu43ByctLYsWM1duxY/f7771qxYoUmT54sLy8v1a5d+67vu5ODg4O6d++u7t2768KFC9q0aZNmzpypYsWKaeDAgZluBwAAALkfyyaR7QoXLiwfHx+tXr1aV69eVa1atSRJderU0VdffaWzZ89aAsuNGzfk6OhoFaRu393xXjw8PFS6dGmtW7furjU7d+5UUFCQjEbjfdurX7++oqOj5ejoKF9f33Q/bm+jTZs2On78uP773//q0KFD91wyeSdvb2+NHj1aknTq1KkMa9IegXDn7OPtSpUqpZ49e8rb21uRkZGZ7h8AAAD2gZk32ETt2rUVHh6uqlWrqmjRopZjK1eulKOjo/z9/SXd2hBk+fLleuutt9S8eXNFRERow4YNmerDYDBo5MiReu211zR48GC1a9dORqNRhw4dkq+vrxo3bqydO3dmekYqKChIjRs3Vu/evdW7d295e3srISFBf/zxh06fPm21uUn9+vXl4uKiMWPGyGQyWe7Tu5suXbqoefPmeuqpp5QvXz59+eWXcnR0vOusW4kSJWQymbRp0yaVL19eRqNR3t7emjJlikwmk/z8/GQymXTw4EH99ttv6tq1a6auEQAAAPaD8GanyplK21V/devWVXh4uFU4Sdtdslq1apb7sxo2bKgRI0bok08+0bp161SzZk0tXLhQLVq0yFQ/oaGhKliwoBYsWKDXXntNBQoUkI+Pj5o3b67ffvtN//zzT7qNSe5l7ty5WrRokVatWqVz587JyclJTz31lDp27GhV5+joqBYtWmj16tV67rnn7juzV7NmTX355Zc6e/asHBwc5OXlpQULFsjT0zPDegcHB02bNk2zZs1Sjx49lJiYqO3bt8vf31+ff/651qxZo4SEBLm5uWn06NGW59QBAADg8WEwm83mnB5EXnTkyBFJkq+vb4bnb9y4oaioKLm7u6fbeCLVnCoHg+1XvOZUv1llwYIF2rZtm9auXZvTQ0Em3eu/AwAA8OAODRuha5FRNumriIe7/Ga/Z5O+7N39skEa+/0mnoflVICy5+AmSf379ye4AQAAwG7Z97dxAAAAAMgjCG8AAAAAYAcIbwAAAABgBwhvAAAAAGAHCG8AAAAAYAcIbwAAAABgBwhvAAAAAGAHCG8AAAAAYAcIbwAAAABgBwhvsKlr164pJCRE3t7eOnLkSE4P54H8+OOP8vb2Tvdj2LBhNh3H77//Ln9/f0VHR9u036z2n//8Rx9++GFODwMAAMBu5M/pAeDBmVNTZXCwfe7Oin4/+OADpaSkZNGIcsa0adPk4eFheV2sWDGb9j9nzhx17NhRrq6uNu03q/Xr10+DBw/WCy+8IGdn55weDgAAQK5HeLNDBgcHnZg1R9fPnLVZn4XdysvrtaGP1MapU6f06aefauTIkZo4cWLWDOwhdevWTXXr1tXgwYMf+L1PPfWUfH19s2FU93fmzBnt2LFD69ate+S2zGazkpKSZDQa0527ceOGChYs+FDtZva99erVk8lk0vr169WjR4+H6gsAACAvYdmknbp+5qyuRUbZ7EdWBMUpU6aoS5cucnd3T3du27Zt8vb21o4dOyzHrl69qgYNGui1117LdE1OO3LkiKpWrapPPvnEciwxMVFt27ZV165dlZqamqmau/nyyy/l5uYmHx8fq+OJiYmaNWuWGjdurGrVqqlVq1bauHGjVc2oUaPUpk0b7dq1S23btpWvr6++//57zZs3T/7+/jp8+LA6d+4sX19frVy5UpJ04MABdenSRdWrV1dAQIBGjx6tq1evWto8e/asvL29tW7dOo0bN04BAQHq1KmTJOnnn3/Wiy++qFq1asnf31/PPPOM1q9fbzWmli1b6ssvv3ygzxgAACCvIrzBJrZs2aITJ05o4MCBGZ5v1qyZ2rdvr3Hjxlnu5Zo8ebIkWWbpMlNjC3379lWVKlUUEhKid955Rzdu3LCc8/X1Vb9+/fTuu+8qMjJSkvT+++/rzJkzeuedd+Tg4JCpmrvZt2+f/P390x1/9dVXtXr1av3nP//RwoUL1aBBA73++uvatWuXVd3Fixc1ZcoU9ejRQ4sXL1aVKlUkSUlJSRo+fLjatm2rxYsXKygoSEePHtV//vMfFSlSRO+//75GjBihHTt2qE+fPumWvs6aNUtms1kzZ87U66+/rvj4ePXr109FixbVrFmz9MEHH+j5559XbGys1fv8/f3166+/2v39ewAAALbAsklku4SEBE2fPl3Dhg1T0aJF71o3btw4PfPMM5owYYJatmypzZs3a8mSJVb3Q2WmJiMpKSkym82W12azWampqUpOTrYcc3BwuGdwcnJyUu/evVWnTh0VKFBAP/zwg5YuXarIyEgtXLjQUjdgwADt3LlTb7zxht544w0tXbpUkyZNUoUKFR6o5k5ms1lHjx5Vs2bNrI7/8MMP+v777xUeHq7g4GBJUlBQkC5duqR58+apYcOGltqYmBgtXrxYNWrUsGojKSlJw4YNU2hoqOXYoEGDVKJECS1YsECOjo6SpDJlyqhXr17atWuXmjRpYqmtXLmy3n77bcvrI0eOKC4uTq+99pq8vb0lSYGBgemuqXLlypKkw4cPq1GjRne9dgAAABDeYAMffvihihcvrmefffaedU5OTpo2bZr+85//aNeuXeratasaNGjwwDUZad68uc6dO2d17MCBA/rggw8srzt06KDp06fftQ0fHx+r5YqBgYEqWbKk3nzzTR0+fFjVq1eXJOXPn1/vvvuuOnTooF69eqlBgwbq3LmzVVuZqblTTEyMEhMT021UsnfvXrm4uKhevXpWYbR+/fqaNGmSUlJSlC9fPkmSi4tLuuCW5vaQJ0k//fST2rRpYwlukhQcHCyTyaSff/7ZKrzdGbwqVKigokWLatKkSerWrZvq1auX4QYraZu9XLp06Z7XDgAAAMIbstm5c+e0dOlSzZ8/X3FxcZKk69evW36+du2aihQpYqmvVauWypYtq3Pnzumll17KsM3M1Nzpww8/VGJiouX1xIkTVbVqVT3//POWYw+za2SrVq305ptv6ujRo5bwJkmenp7y8fFRRESEXnzxxQzfm5ma2928eVOS0m0wcuXKFV29elVVq1bN8H2XLl1S6dKlJUlPPPFEhjWFChWy+n2QpNjYWBUvXjxdbfHixRUTE5Pu2O2cnZ21bNkyzZ07V2+88YZSUlJUu3ZtjRs3zjITd/u13L70FAAAABkjvCFbnT17VklJSerbt2+6cy+//LJq1Kihzz//3HJs7ty5unLliipVqqTJkydrxYoVMhgMVu/LTM2dbg8MklSkSBGVLFky23aNXLVqlQ4fPixvb29Nnz5dAQEB6XZgzEzN7VxcXCQp3X1jzs7OcnV11aJFizJ83+0zXnf7nDI67uzsrMuXL6c7fvny5XTLVDN6f/Xq1bVkyRLduHFDP/74o9555x0NHDhQ27Zts9SkBfq0awMAAMDdsWEJslWVKlW0YsUKqx+jR4+WdGuzkds3Gjl48KDCw8M1atQovffeezp48KCWL19u1V5mamxp06ZNkmQVAv/66y/NmDFDvXv31oIFC3Tx4kXNnDnT6n2ZqblTgQIFVLZsWZ09a73zZ/369RUdHS1HR0f5+vqm+5HRowAyo1atWtq+fbvVUsy9e/cqNjZWtWrVynQ7BQsWVMOGDdW1a1edPXvWMoMoyXItGe1ACgAAAGvMvNmpwm7l7aI/k8mkgICADM9VrVrVstTv+vXrGjlypIKDgy33fvXv31+zZs1SgwYN5Onpmama7DRixAhVrFhRPj4+lg1LPvroIzVr1swS3lJTUzVy5EhVqFBBgwYNktFo1NixYzVmzBg1bdpU9erVy1TN3dSsWVPHjh2zOhYUFKTGjRurd+/e6t27t7y9vZWQkKA//vhDp0+fttpI5EH0799fXbp0Ub9+/dStWzf9+++/mjlzpqpXr57u/rg77dy5U2vXrlWzZs1UtmxZ/fvvv/rkk09Us2ZNFShQwFJ39OhRFS5c2LLrJQAAAO6O8GaHzKmpj/zA7Ift13CP3RgfxfTp0xUbG2sVNF555RXLjoyrV6/OVE3+/Nn3R/qpp57Sxo0btXTpUiUlJalcuXLq37+/1ZLQJUuW6MiRI1q7dq1lxqtjx47avn27Ro8erY0bN+rTTz+9b83dduVs0aKFRowYofj4eKuauXPnatGiRVq1apXOnTsnJycnPfXUU+rYseNDX2+1atW0dOlSzZo1S4MHD1bhwoXVpEkTjRw50rIByt1UqFBBDg4OmjNnji5fviwXFxcFBwenex7f7t271bx58/u2BwAAAMlgvn3/dNjMkSNHJOmu91zduHFDUVFRcnd3v+d9UMhbkpKS1LhxY40YMULt27fP6eE8kpiYGAUFBWnZsmWqU6dOhjX8dwAAQNY6NGyErkVG2aSvIh7u8pv9nk36snf3ywZpuOcNsCOOjo7q06ePVqxYkdNDeWQff/yxatasedfgBgAAAGssmwTsTNeuXRUfH6/o6OgMn51mL1xcXDRu3LicHgYAAIDdyFUzb6dPn9aECRPUrl07+fj4qE2bNves37Ztm7y9vTOsi4uL05gxY1S3bl35+/tryJAhunjxYrq6gwcPqnPnzqpevboaN26sRYsW6c6VpGazWYsWLVKjRo1UvXp1de7cWYcOHXqkawUeltFo1MCBA+06uEnSSy+9JC8vr5weBgAAgN3IVeHt5MmT2rVrlypWrHjfnQNv3LihqVOn3vWhw0OHDtXevXs1adIkvffee4qKilKfPn2stj0/ffq0evXqpRIlSmjhwoXq3r275s6dq6VLl1q1tXjxYs2dO1c9evTQwoULVaJECfXs2VNnzpx59IsGAAAAgEzIVcsmmzRpombNmkmSRo0apaNHj961duHChSpbtqzKly+fri4iIkJ79uxReHi4goODJd16jlRoaKi2bt2q0NBQSVJ4eLiKFSumWbNmyWg0KjAwUNHR0VqwYIG6desmo9GomzdvauHCherZs6d69Ogh6dbzr1q2bKnw8HBNmjQp6z+I27CfDPIy/vwDAAD8T66aeXPI5Db0f/31l5YtW3bX+2V2794tk8mkoKAgyzEPDw9VqVJFu3fvtqpr2rSp1UOMQ0NDFRsbq4iICEm3llXGx8erVatWlhqj0ajmzZtbtZXVHB0dJd16/hmQV6X9+U/77wEAACAvy1Uzb5n19ttvq127dqpcuXKG5yMjI+Xu7i6DwWB13MPDQ5GRkZJufSn8559/5OHhka7GYDAoMjJSAQEBlvo76zw9PbV8+XLduHEjW7Ywz5cvn1xcXCz36RUuXDjd9QCPK7PZrOvXr+vixYtycXHhOXAAAACyw/D2/fffKyIiQlu2bLlrTWxsrJycnNIdd3Z2tiyxjIuLkySZTCarGqPRqEKFCikmJsbSltFoVIECBazqTCaTzGazYmJisu35U6VLl5akDDdaAfICFxcXy38HAAAAeZ1dhbebN29q6tSpGjx4sN3vtJcZBoNBZcqUUcmSJZWUlJTTwwFsytHRkRk3AACA29hVeFu+fLkcHBzUunVrxcbGSpKSkpKUmpqq2NhYFSxYUEajUSaTSefPn0/3/piYGDk7O0uSZWYubQYuTWJiohISEix1JpNJiYmJunnzptXsW2xsrAwGg6UuO+XLl48vsQAAAEAeZ1fhLTIyUqdPn1ZgYGC6c3Xq1NGkSZPUtWtXeXh4aP/+/TKbzVb3iUVFRVmeK1W4cGGVKVPGck/b7TVms9lyj1vaz1FRUVb32EVGRqps2bLZtmQSAAAAAG6Xq3abvJ8+ffpoxYoVVj+Cg4NVrlw5rVixQk2aNJEkhYSEKCYmRvv377e8NyoqSsePH1dISIjlWEhIiLZv3261JHHz5s0ymUzy9/eXJNWsWVNFixbVN998Y6lJSkrS1q1brdoCAAAAgOyUq2beEhIStGvXLknSuXPnFB8fb9mYpG7duvL09Ez38O7169frwoULCggIsBzz9/dXcHCwxowZo5EjR6pAgQKaPXu2vL299fTTT1vqevXqpY0bN2r48OHq2rWrTpw4ofDwcA0bNszy+IACBQqoX79+mjdvnlxdXeXl5aVVq1bp6tWr6tWrV3Z/JAAAAAAgKZeFt8uXL+vVV1+1Opb2esWKFVYB7X7mzJmjadOmacKECUpOTlZwcLDGjRun/Pn/d8kVK1ZUeHi4pk+frr59+8rV1VVDhgxRz549rdrq06ePzGazli5dqujoaFWpUkXh4eFyc3N7hKsFAAAAgMwzmM1mc04PIi86cuSIJMnX1zeHRwIAAIC84tCwEboWGWWTvop4uMtv9ns26cveZTYb2NU9bwAAAACQVxHeAAAAAMAOEN4AAAAAwA4Q3gAAAADADhDeAAAAAMAOEN4AAAAAwA4Q3gAAAADADhDeAAAAAMAOEN4AAAAAwA4Q3gAAAADADhDeAAAAAMAOEN4AAAAAwA4Q3gAAAADADhDeAAAAAMAOEN4AAAAAwA4Q3gAAAADADhDeAAAAAMAOEN4AAAAAwA4Q3gAAAADADhDeAAAAAMAOEN4AAAAAwA4Q3gAAAADADhDeAAAAAMAOEN4AAAAAwA4Q3gAAAADADhDeAAAAAMAOEN4AAAAAwA4Q3gAAAADADhDeAAAAAMAOEN4AAAAAwA4Q3gAAAADADhDeAAAAAMAO5M/pAQAAAACwjcJu5R/LvvIKwhsAAACQB5hTU+X12lCb92lwYLFfViG8AQAAAHmAwcFBqw5v0MVr/9qkv5JFnlDX6u1s0ldeQXgDAAAA8ohD548p6soZm/TlXsyN8JbFmMMEAAAAADtAeAMAAAAAO5Crwtvp06c1YcIEtWvXTj4+PmrTpo3V+fj4eM2bN0/PPfecateurfr166t///76/fff07UVFxenMWPGqG7duvL399eQIUN08eLFdHUHDx5U586dVb16dTVu3FiLFi2S2Wy2qjGbzVq0aJEaNWqk6tWrq3Pnzjp06FCWXjsAAAAA3EuuCm8nT57Url27VLFiRXl6eqY7//fff2v16tUKCgrSnDlz9NZbbykuLk6dO3fWqVOnrGqHDh2qvXv3atKkSXrvvfcUFRWlPn36KDk52VJz+vRp9erVSyVKlNDChQvVvXt3zZ07V0uXLrVqa/HixZo7d6569OihhQsXqkSJEurZs6fOnLHNemEAAAAAyFUbljRp0kTNmjWTJI0aNUpHjx61Ol++fHl99913KlSokOVYvXr11KRJE3366acaP368JCkiIkJ79uxReHi4goODJUnu7u4KDQ3V1q1bFRoaKkkKDw9XsWLFNGvWLBmNRgUGBio6OloLFixQt27dZDQadfPmTS1cuFA9e/ZUjx49JEm1atVSy5YtFR4erkmTJmXzpwIAAAAAuWzmzeE+z4AoXLiwVXCTpCJFiqhChQpWSyJ3794tk8mkoKAgyzEPDw9VqVJFu3fvtqpr2rSpjEaj5VhoaKhiY2MVEREh6dayyvj4eLVq1cpSYzQa1bx5c6u2AAAAACA75arw9jBiY2N18uRJeXh4WI5FRkbK3d1dBoPBqtbDw0ORkZGSpOvXr+uff/6xel9ajcFgsNSl/Xxnnaenp/7++2/duHEjy68JAAAAAO5k9+Ht3XfflcFgUNeuXS3HYmNj5eTklK7W2dlZMTExkm5taCJJJpPJqsZoNKpQoUKWutjYWBmNRhUoUMCqzmQyyWw2W+oAAAAAIDvlqnveHtQXX3yhzz//XNOnT1fp0qVzejgAAAAAkG3sduZt165dmjBhggYMGKAOHTpYnTOZTIqPj0/3npiYGDk7O0uSZWYubQYuTWJiohISEix1JpNJiYmJunnzplVdbGysDAaDpQ4AAAAAspNdhrdDhw7p1VdfVfv27fXqq6+mO+/h4aGoqKh0z2uLioqy3LtWuHBhlSlTxnJP2+01ZrPZUpf2c1RUlFVdZGSkypYtq4IFC2bZdQEAAADA3dhdePvjjz/Ur18/1atXT5MnT86wJiQkRDExMdq/f7/lWFRUlI4fP66QkBCruu3btyspKclybPPmzTKZTPL395ck1axZU0WLFtU333xjqUlKStLWrVut2gIAAACA7JSr7nlLSEjQrl27JEnnzp1TfHy8tmzZIkmqW7euzGazevXqpQIFCqh79+5Wz4ErWrSonnzySUmSv7+/goODNWbMGI0cOVIFChTQ7Nmz5e3traefftrynl69emnjxo0aPny4unbtqhMnTig8PFzDhg2zPD6gQIEC6tevn+bNmydXV1d5eXlp1apVunr1qnr16mWrjwYAAABAHperwtvly5fTLYNMe71ixQpJ0vnz5yXJ8sDsNHXr1tXHH39seT1nzhxNmzZNEyZMUHJysoKDgzVu3Djlz/+/S65YsaLCw8M1ffp09e3bV66urhoyZIh69uxp1XafPn1kNpu1dOlSRUdHq0qVKgoPD5ebm1uWXTsAAAAA3IvBfOeNYbCJI0eOSJJ8fX1zeCQAAADIK0ZunaqoK2ds0pd7MTe98/QYm/Rl7zKbDezunjcAAAAAyIsIbwAAAABgBwhvAAAAAGAHCG8AAAAAYAcIbwAAAABgBwhvAAAAAGAHCG8AAAAAYAcIbwAAAABgBwhvAAAAAGAHCG8AAAAAYAcIbwAAAABgBwhvAAAAAGAHCG8AAAAAYAcIbwAAAABgBwhvAAAAAGAHCG8AAAAAYAcIbwAAAABgBwhvAAAAAGAHCG8AAAAAYAcIbwAAAABgBwhvAAAAAGAHCG8AAAAAYAcIbwAAAABgBwhvAAAAAGAHCG8AAAAAYAcIbwAAAABgBwhvAAAAAGAHCG8AAAAAYAcIbwAAAABgBwhvAAAAAGAHCG8AAAAAYAcIbwAAAABgBwhvAAAAAGAHCG8AAAAAYAcIbwAAAABgBwhvAAAAAGAHCG8AAAAAYAcIbwAAAABgBwhvAAAAAGAHclV4O336tCZMmKB27drJx8dHbdq0ybBuzZo1atGihXx9fdW2bVvt2LEjXU1cXJzGjBmjunXryt/fX0OGDNHFixfT1R08eFCdO3dW9erV1bhxYy1atEhms9mqxmw2a9GiRWrUqJGqV6+uzp0769ChQ1lyzQAAAACQGbkqvJ08eVK7du1SxYoV5enpmWHNpk2bNH78eLVq1UqLFy+Wn5+fBg0alC5MDR06VHv37tWkSZP03nvvKSoqSn369FFycrKl5vTp0+rVq5dKlCihhQsXqnv37po7d66WLl1q1dbixYs1d+5c9ejRQwsXLlSJEiXUs2dPnTlzJss/AwAAAADISP6cHsDtmjRpombNmkmSRo0apaNHj6armTt3rlq3bq2hQ4dKkurVq6cTJ05o/vz5Wrx4sSQpIiJCe/bsUXh4uIKDgyVJ7u7uCg0N1datWxUaGipJCg8PV7FixTRr1iwZjUYFBgYqOjpaCxYsULdu3WQ0GnXz5k0tXLhQPXv2VI8ePSRJtWrVUsuWLRUeHq5JkyZl74cCAAAAAMplM28ODvcezpkzZ/Tnn3+qVatWVsdDQ0O1f/9+JSYmSpJ2794tk8mkoKAgS42Hh4eqVKmi3bt3W47t3r1bTZs2ldFotGorNjZWERERkm4tq4yPj7fq02g0qnnz5lZtAQAAAEB2ylXh7X4iIyMl3ZpFu52np6eSkpIsyxgjIyPl7u4ug8FgVefh4WFp4/r16/rnn3/k4eGRrsZgMFjq0n6+s87T01N///23bty4kUVXBwCPF3Nqap7qFwCA7Jarlk3eT0xMjCTJZDJZHU97nXY+NjZWTk5O6d7v7OxsWYoZFxeXYVtGo1GFChWyastoNKpAgQLp+jSbzYqJiVHBggUf9dIA4LFjcHDQiVlzdP3MWZv1WditvLxeG2qz/gAAsCW7mnkDAAAAgLzKrmbenJ2dJd2aNStRooTleGxsrNV5k8mk8+fPp3t/TEyMpSZtZi5tBi5NYmKiEhISrNpKTEzUzZs3rWbfYmNjZTAYLHUAAGvm1NQcmQUzp6bKcJ97qAEAsEd2Fd7S7juLjIy0ugctMjJSjo6OcnNzs9Tt379fZrPZ6r63qKgoeXl5SZIKFy6sMmXKWO5pu73GbDZb2k/7OSoqSpUrV7bqs2zZsiyZBIC7MDg4aNXhDbp47V+b9VmyyBPqWr2dzfoDAMCWHjq8vfzyy3rllVcUGBiY4fkffvhBH3zwgVasWPHQg7uTm5ubKlWqpC1btlgeKSBJmzdvVmBgoGXXyJCQEH3wwQfav3+/6tevL+lW+Dp+/Lh69+5teV9ISIi2b9+u119/XY6Ojpa2TCaT/P39JUk1a9ZU0aJF9c0331jCW1JSkrZu3aqQkJAsuzYAeBwdOn9MUVds90xM92JuhDcAwGProcPb//3f/6lTp053PR8dHa0DBw48UJsJCQnatWuXJOncuXOKj4/Xli1bJEl169aVq6urBg8erBEjRqhChQoKCAjQ5s2bdfjwYX3yySeWdvz9/RUcHKwxY8Zo5MiRKlCggGbPni1vb289/fTTlrpevXpp48aNGj58uLp27aoTJ04oPDxcw4YNswTBAgUKqF+/fpo3b55cXV3l5eWlVatW6erVq+rVq9cDXR8AAAAAPKxHWjZ551b8tzt9+rSKFCnyQO1dvnxZr776qtWxtNcrVqxQQECA2rRpo4SEBC1evFiLFi2Su7u7wsLCLDNlaebMmaNp06ZpwoQJSk5OVnBwsMaNG6f8+f93yRUrVlR4eLimT5+uvn37ytXVVUOGDFHPnj2t2urTp4/MZrOWLl2q6OhoValSReHh4ZZlmgAAAACQ3Qxms9mc2eL169dr/fr1km7NvHl6eqp48eLp6uLi4vT7778rJCRECxYsyLrRPkaOHDkiSfL19c3hkQBA9hm5darNl02+8/QYm/UHAPbGln8v83dy5mU2GzzQzFtCQoKuXLlieX3t2jU5ZLCjV+HChdWlSxcNHDjwQZoHAAAAANzFA4W3F154QS+88IIkqUmTJho7dqyaNm2aLQMDAAAAAPzPQ9/z9v3332flOAAAAAAA9/DIz3mLj4/X33//rdjYWGV0+1ydOnUetQsAAAAAyPMeOrxFR0drypQp2rp1q1JSUtKdT3tA9q+//vpIAwQAAAAAPEJ4mzBhgnbs2KFu3bqpdu3aMplMWTkuAAAAAMBtHjq87d27V927d9cbb7yRleMBAAAAAGQg/T7/mVSwYEGVK1cuK8cCAAAAALiLhw5vbdu21bZt27JyLAAAAACAu3joZZMtWrTQgQMH1KtXL3Xu3FmlS5dWvnz50tVVrVr1kQYIAAAAAHiE8Jb2sG5J2rdvX7rz7DYJAAAAAFnnocPbtGnTsnIcAAAAAIB7eOjw1qFDh6wcBwAAAADgHh56wxIAAAAAgO089Mzb6NGj71tjMBg0derUh+0CAAAAAPD/PXR4+/HHH9MdS01N1aVLl5SSkiJXV1cVKlTokQYHAAAAALjlocPb999/n+HxpKQkrV69WsuXL9fSpUsfemAAAAAAgP/J8nveHB0d9dJLLykoKEhvvfVWVjcPAAAAAHlStm1YUrlyZR04cCC7mgcAAACAPCXbwtu+ffu45w0AAAAAsshD3/MWFhaW4fG4uDgdOHBAx48fV9++fR96YAAAAACA/8ny8Obs7Cw3NzdNnjxZzz///EMPDAAAAADwPw8d3n777besHAcAAAAA4B6y7Z43AAAAAEDWeeiZtzT/93//p507d+rvv/+WJJUtW1aNGjVS3bp1H3lwAAAAAIBbHjq8JSYmavjw4dq2bZvMZrNMJpMkKTY2VsuWLVPz5s01c+ZMOTo6ZtlgAQD2pZyp9GPdHwAAtvTQ4W3+/Pn67rvv1LNnT/Xs2VNPPPGEJOny5ctaunSpwsPDNX/+fA0dOjSrxgoAsCOpqakaUq9njvTr4MBdAQCAx89Dh7eNGzeqQ4cOeuONN6yOFy9eXK+//rouX76sr776ivAGAHmUg4ODonesVFLMRZv16ehcUq6NX7RZf7czp6bKYOPQmBN9AgByzkOHt0uXLql69ep3PV+9enVt2rTpYZsHADwGrkdGKPF8lM36M5Z2z7HwBgBAdnvo8Fa6dGn93//9n7p27Zrh+QMHDqh0ae49AIA0ZrNZBoMhz/Sb1xgcHLTq8AZdvPavTforWeQJda3eziZ9AY8r/l6GvXno8Na+fXvNmzdPTk5O6tGjhypWrCiDwaA///xTy5cv15YtWzR48OCsHCsA2DWDwWDTL/cSX/Bt7dD5Y4q6csYmfbkXc+P3FnhE/L0Me/PQ4a1///46c+aMPv/8c61Zs8Zyc3hqaqrMZrM6dOig/v37Z9lAAeBxYMsv9xJf8AHgfvh7GfbkocNbvnz5NH36dPXo0UO7d+/WuXPnJEnlypVTSEiIKleunGWDBAAAAIC87oHC282bN/X222/rqaeeUrdu3SRJlStXThfUVqxYoc8++0xjx47lOW8AAAAAkAUeaH/h1atXa/369WrUqNE96xo1aqQvvvhCa9aseZSxAQAAAAD+vwcKb998842efvppubm53bOuQoUKatmyJY8KAAAAAIAs8kDh7cSJE6pVq1amav39/fX7778/1KAAAAAAANYeKLwlJSVl+h42R0dHJSYmPtSgAAAAAADWHii8lSxZUidPnsxU7cmTJ1WyZMmHGtT9bN++XZ06dZK/v7+Cg4P16quv6syZ9Fu8rlmzRi1atJCvr6/atm2rHTt2pKuJi4vTmDFjVLduXfn7+2vIkCG6ePFiurqDBw+qc+fOql69uho3bqxFixbJbDZny/UBAAAAwJ0eKLzVr19fGzZs0OXLl+9Zd/nyZW3YsEH169d/pMFl5Mcff9SgQYP05JNPav78+RozZox+++039ezZUzdu3LDUbdq0SePHj1erVq20ePFi+fn5adCgQTp06JBVe0OHDtXevXs1adIkvffee4qKilKfPn2UnJxsqTl9+rR69eqlEiVKaOHCherevbvmzp2rpUuXZvn1AQAAAEBGHuhRAX369NFXX32l7t276+2331aNGjXS1fzyyy8aN26cbt68qd69e2fZQNNs2rRJZcuW1dSpU2UwGCRJrq6u6t69u44eParatWtLkubOnavWrVtr6NChkqR69erpxIkTmj9/vhYvXixJioiI0J49exQeHq7g4GBJkru7u0JDQ7V161aFhoZKksLDw1WsWDHNmjVLRqNRgYGBio6O1oIFC9StWzcZjcYsv04AAAAAuN0DhTc3NzfNmTNHr732mrp06SI3Nzd5eXmpSJEiunbtmk6ePKm//vpLBQsW1KxZs1ShQoUsH3BycrKKFCliCW6S5OTkJEmWZYxnzpzRn3/+qddff93qvaGhoZoxY4YSExNlNBq1e/dumUwmBQUFWWo8PDxUpUoV7d692xLedu/erebNm1uFtNDQUC1cuFAREREKCAjI8usEAAAAgNs90LJJ6dYz3L766is9//zzunnzprZt26YNGzZo27ZtSkhIUKdOnfTVV1+pSZMm2TFedezYUadOndLKlSsVFxenM2fOaNasWfLx8VHNmjUlSZGRkZJuzaLdztPTU0lJSZb74yIjI+Xu7m4VBKVbAS6tjevXr+uff/6Rh4dHuhqDwWCpAwAAAIDs9EAzb2nKly+vyZMnS5Li4+N17do1FSlSREWLFs3SwWWkdu3aCgsL0/Dhw/Xmm29KkqpUqaIlS5YoX758kqSYmBhJkslksnpv2uu087GxsZZZu9s5Ozvr6NGjkm5taJJRW0ajUYUKFbK0BQAAAADZ6YFn3u5UtGhRlSpVyibBTbq16+Mbb7yh559/XsuXL9f777+v1NRU9e3b12rDEgAAAAB4nDzUzFtOmjJliurVq6dRo0ZZjvn5+alRo0basGGDOnfuLGdnZ0m3Zs1KlChhqYuNjZUky3mTyaTz58+n6yMmJsZSkzYzlzYDlyYxMVEJCQmWOgAAAADITo8882Zrp06dUuXKla2OlS5dWsWKFdNff/0lSZb70+68Hy0yMlKOjo5yc3Oz1EVFRaV7XltUVJSljcKFC6tMmTLp2kp73533wgEAAABAdrC78Fa2bFkdP37c6ti5c+d05coVlStXTtKtXTErVaqkLVu2WNVt3rxZgYGBll0jQ0JCFBMTo/3791tqoqKidPz4cYWEhFiOhYSEaPv27UpKSrJqy2Qyyd/fP8uvEQAAAADuZHfLJrt06aKpU6dqypQpatKkia5evaoPP/xQxYsXV6tWrSx1gwcP1ogRI1ShQgUFBARo8+bNOnz4sD755BNLjb+/v4KDgzVmzBiNHDlSBQoU0OzZs+Xt7a2nn37aUterVy9t3LhRw4cPV9euXXXixAmFh4dr2LBhPOMNAAAAgE3YXXh7+eWXZTQatWrVKn3xxRcqUqSI/Pz8NGfOHBUrVsxS16ZNGyUkJGjx4sVatGiR3N3dFRYWlm6mbM6cOZo2bZomTJig5ORkBQcHa9y4ccqf/38fTcWKFRUeHq7p06erb9++cnV11ZAhQ9SzZ0+bXTcAAACAvM3uwpvBYFDXrl3VtWvX+9Z26tRJnTp1umeNk5OTpk6dqqlTp96zrmbNmvr8888faKwAAAAAkFXs7p43AAAAAMiLCG8AAAAAYAfsbtkkANizcqbSj3V/AAAg+xDeAMBGUlNTNaSe7Tc6Sk1NlYMDCy0AALB3hDcAsBEHBwdF71ippJiLNuvT0bmkXBu/aLP+AABA9iG8AYANXY+MUOL5KJv1ZyztTngDAOAxwToaAAAAALADhDcAAAAAsAOENwAAAACwA4Q3AAAAALADhDcAAAAAsAOENwAAAACwA4Q3AAAAALADhDcAAAAAsAOENwAAAACwA4Q3AAAAALADhDcAAAAAsAOENwAAAACwA4Q3AAAAALADhDcAAAAAsAOENwAAAACwA4Q3AAAAALADhDcAAAAAsAOENwAAAACwA4Q3AAAAALADhDcAAAAAsAOENwAAAACwA4Q3AAAAALADhDcAAAAAsAOENwAAAACwA4Q3AAAAALADhDcAAAAAsAOENwAAAACwA4Q3AAAAALADhDcAAAAAsAOENwAAAEiSzGZznuoXsDf5c3oAAAAAyB0MBoNWHd6gi9f+tVmfJYs8oa7V29msP8CeEd4AAABgcej8MUVdOWOz/tyLuRHegEyy2/C2fv16LV++XKdOnVLhwoXl6+ursLAwFSxYUJL0/fffa86cOYqKilLZsmXVt29fPfvss1ZtJCYmavbs2frqq6907do1+fv7a/z48fLw8LCqO3XqlKZMmaKIiAgVKVJE7dq109ChQ2U0Gm12vQAAALZQzlT6se4PsGd2Gd4+/PBDLV68WP3795efn5+uXLmi/fv3KyUlRZL0008/adCgQXruuec0ZswY/fDDDxo7dqyKFCmili1bWtqZMmWKNm/erFGjRqlUqVJasGCBevTooU2bNsnJyUmSFBMTo+7du6tSpUqaN2+eLly4oOnTp+vGjRuaMGFCjlw/AABAdkhNTdWQej1zpF8HB7ZiAO7H7sJbZGSkwsLC9MEHH6hhw4aW4y1atLD8+sMPP1T16tX15ptvSpLq1aunM2fOaO7cuZbwdv78ea1du1YTJ07Uc889J0ny9fVV48aN9dlnn6lPnz6SpM8++0zXrl1TWFiYXFxcJEkpKSmaPHmy+vXrp1KlStnisgEAALKdg4ODonesVFLMRZv16ehcUq6NX7RZf4A9s7vwtm7dOpUvX94quN0uMTFRP/74o0aMGGF1PDQ0VF9//bXOnj2r8uXLa8+ePUpNTbWaiXNxcVFQUJB2795tCW+7d+9WYGCgJbhJUqtWrTRx4kTt3btXHTt2zPqLBAAAyCHXIyOUeD7KZv0ZS7sT3oBMsrv56V9++UVeXl764IMPFBgYqGrVqqlLly765ZdfJEl//fWXkpKS0t235unpKenWzF3az8WLF5ezs3O6urSatLo72zKZTCpRooRVHQAAAABkJ7ubebt06ZKOHj2qEydOaOLEiSpUqJAWLFignj17auvWrYqJiZF0K2DdLu112vnY2FjLfW131qXVpNXd2ZYkOTs7W9UBAAAAQHayu/BmNpt1/fp1vf/++6pcubIkqUaNGmrSpIk++eQTBQcH5/AIAQAAACDr2d2ySZPJJBcXF0twk27dq+bj46M//vjDsgwyLi7O6n2xsbGSZDlvMpkUHx+frv3Y2FirpZQmkyldW9KtGbw7l1wCAAAAQHaxu/D25JNP3vXczZs3VaFCBTk6Oqa7Hy3tddr9ax4eHvr333/TLX288x43Dw+PdG3FxcXp0qVL6e6FAwAAAIDsYnfhrXHjxrp69ap+/fVXy7ErV67o2LFjqlq1qoxGowICAvTtt99avW/z5s3y9PRU+fLlJUnBwcFycHDQ1q1bLTUxMTHas2ePQkJCLMdCQkK0b98+y8ydJG3ZskUODg4KCgrKrssEAAAAACt2d89bs2bN5OvrqyFDhmjYsGEqUKCAFi1aJKPRqBdeeEGS9Morr+jll1/WpEmT1KpVK/3444/6+uuvNXv2bEs7pUuX1nPPPacZM2bIwcFBpUqV0sKFC+Xk5KQuXbpY6rp06aKPP/5YAwcOVL9+/XThwgXNmDFDXbp04RlvAAAAAGzG7sKbg4ODFi1apGnTpmnChAlKSkpS7dq1tXLlSpUoUUKSVLt2bc2bN09z5szR2rVrVbZsWU2ZMkWtWrWyamvcuHEqUqSIZs6cqWvXrqlmzZpatmyZ1S6Uzs7OWr58ud566y0NHDhQRYoU0XPPPadhw4bZ9LoBAAAA5G12F94kydXVVe++++49a5o2baqmTZves8ZoNGrkyJEaOXLkPes8PT310UcfPegwAQAAACDL2N09bwAAAACQF9nlzBsAALlROVPpx7IvAEDuQHgDACALpKamaki9njbv08GBRTQAkFcQ3gAAyAIODg6K3rFSSTEXbdKfo3NJuTZ+0SZ9AQByB8IbAABZ5HpkhBLPR9mkL2Npd8IbAOQxrLUAAAAAADtAeAMAAAAAO0B4AwAAAAA7QHgDAAAAADtAeAMAAAAAO0B4AwAAAAA7QHgDAAAAADtAeAMAAAAAO0B4AwAAAAA7QHgDAAAAADtAeAMAAAAAO0B4AwAAAAA7QHgDAAAAADtAeAMAAAAAO0B4AwAAAAA7QHgDkKPMZnOe6hcAAOBh5c/pAQDI2wwGg2IObFZy/BWb9Zm/aDE51wm1WX8AAABZgfAGIMfFHf5eieejbNafsbQ74Q0AANgdlk0CAAAAgB0gvAEAAACAHWDZJIAcZyxe/rHuDwAAICsQ3gDkKHNqqkq2H5oj/RocWHwAAADsB+ENQI4yODhoxebjuhh93WZ9lnQtrJdDfWzWHwAAQFYgvAHIcQd/u6hT52Js1p9nOWfCGwAAsDuENwAAACCPKGcq/Vj2lVcQ3gAAAIA8IDU1VUPq9bR5nw7cY55lCG8AAABAHuDg4KDoHSuVFHPRJv05OpeUa+MXbdJXXkF4AwAb4rEIAJC72HppX04vJbweGaHE81E26ctY2p3wlsUIbwBgIzwWAY8Ls9ksg8GQZ/rF4ysnlhGm9ctSQjwMwhsA2AiPRcDjwmAwaNXhDbp47V+b9VmyyBPqWr2dzfpD3mDrZYQSSwnxaAhvAGBDPBYBj4tD548p6soZm/XnXsyN8IZsYctlhBJLCfFomK8FAAAAADtAeAMAAAAAO0B4AwAAAAA7YPfh7dq1awoJCZG3t7eOHDlidW7NmjVq0aKFfH191bZtW+3YsSPd++Pi4jRmzBjVrVtX/v7+GjJkiC5eTH/T6sGDB9W5c2dVr15djRs31qJFi2Q2m7PtugAAAADgdnYf3j744AOlpKSkO75p0yaNHz9erVq10uLFi+Xn56dBgwbp0KFDVnVDhw7V3r17NWnSJL333nuKiopSnz59lJycbKk5ffq0evXqpRIlSmjhwoXq3r275s6dq6VLl2b35QEAAACAJDvfbfLUqVP69NNPNXLkSE2cONHq3Ny5c9W6dWsNHTpUklSvXj2dOHFC8+fP1+LFiyVJERER2rNnj8LDwxUcHCxJcnd3V2hoqLZu3arQ0FBJUnh4uIoVK6ZZs2bJaDQqMDBQ0dHRWrBggbp16yaj0Wi7iwYAAACQJ9n1zNuUKVPUpUsXubu7Wx0/c+aM/vzzT7Vq1crqeGhoqPbv36/ExERJ0u7du2UymRQUFGSp8fDwUJUqVbR7927Lsd27d6tp06ZWIS00NFSxsbGKiIjIjksDAAAAACt2G962bNmiEydOaODAgenORUZGSlK6UOfp6amkpCSdOXPGUufu7i6DwWBV5+HhYWnj+vXr+ueff+Th4ZGuxmAwWOoAAAAAIDvZZXhLSEjQ9OnTNWzYMBUtWjTd+ZiYWw/ANZlMVsfTXqedj42NlZOTU7r3Ozs7W2ri4uIybMtoNKpQoUKWOgAAAADITnYZ3j788EMVL15czz77bE4PBQAAAABswu7C27lz57R06VINGTJEcXFxio2N1fXr1yXdWuJ47do1OTs7S/rfrFma2NhYSbKcN5lMio+PT9dHTEyMpSZtZu7OthITE5WQkGCpAwAAAIDsZHe7TZ49e1ZJSUnq27dvunMvv/yyatSooZkzZ0q6dU/b7feqRUZGytHRUW5ubpJu3be2f/9+mc1mq/veoqKi5OXlJUkqXLiwypQpk+7etqioKJnN5nT3wgEAAABAdrC7mbcqVapoxYoVVj9Gjx4tSZo8ebImTpwoNzc3VapUSVu2bLF67+bNmxUYGGjZNTIkJEQxMTHav3+/pSYqKkrHjx9XSEiI5VhISIi2b9+upKQkq7ZMJpP8/f2z83IBAAAAQJIdzryZTCYFBARkeK5q1aqqWrWqJGnw4MEaMWKEKlSooICAAG3evFmHDx/WJ598Yqn39/dXcHCwxowZo5EjR6pAgQKaPXu2vL299fTTT1vqevXqpY0bN2r48OHq2rWrTpw4ofDwcA0bNoxnvAEAAACwCbsLb5nVpk0bJSQkaPHixVq0aJHc3d0VFhaWbqZszpw5mjZtmiZMmKDk5GQFBwdr3Lhxyp//fx9NxYoVFR4erunTp6tv375ydXXVkCFD1LNnT1tfFgAAAIA86rEIbwEBAfr999/THe/UqZM6dep0z/c6OTlp6tSpmjp16j3ratasqc8///yRxgkAAAAAD8vu7nkDAAAAgLyI8AYAAAAAdoDwBgAAAAB2gPAGAAAAAHbgsdiwBACQOxmLl3+s+wMAwJYIbwCAbGFOTVXJ9kNzpF+DAwtLAACPH8IbACBbGBwctGLzcV2Mvm6zPku6FtbLoT426w8AAFsivAEAss3B3y7q1LkYm/XnWc6Z8AYAeGyxrgQAAAAA7ADhDQAAAADsAOENAAAAwGPFnJr6WPbLPW8AAAAAHisGBwedWb1GNy9dslmfBUqUkFvnTtnaB+ENAAAAwGPFnJqa7UHqbv1m5+NqCG8AAAAAHisGBwetOrxBF6/9a7M+SxZ5Ql2rt8vWPghvAAAAAB47h84fU9SVMzbrz72YW7aHNzYsAQAAAAA7QHgDAAAAADtAeAMAAAAAO0B4AwAAAAA7QHgDAAAAADtAeAMAAAAAO0B4AwAAAAA7QHgDAAAAADtAeAMAAAAAO0B4AwAAAAA7QHgDAAAAADtAeAMAAAAAO0B4AwAAuIdUc2qe6hdA7pU/pwcAAACQmzkYHPTFsc26dD3aZn2WKOyqZ6uG2qw/5B3G4uUfy77yCsIbAADAPaSmpuZIkEpNTZWDA4ukkHXMqakq2X6ozfs08Oc4yxDeAAAA7sHBwUHRO1YqKeaizfp0dC4p18Yv2qw/5A0GBwet2HxcF6Ov26S/kq6F9XKoj036yisIbwAAAPdxPTJCieejbNafsbQ74Q3Z4uBvF3XqXIxN+vIs50x4y2LMYQIAAACAHSC8AQAAAIAdYNkkAAB4YOVMpR/r/gAgNyK8AQCAB5Kamqoh9XrmSL/svgggLyO8AQCAB8LuiwCQMwhvAADggbH7IgDYnt2Ft2+++UZfffWVjh07ptjYWFWsWFHdunXTs88+K4PBYKlbs2aNlixZor///lvu7u4aNmyYGjdubNVWXFycpk2bpm3btikpKUkNGjTQuHHjVLJkSau6gwcP6p133tGvv/6q4sWLq2vXrurTp49VfwAAGIuXfyz7AgDkDnYX3j766COVK1dOo0aNUrFixbRv3z6NHz9e58+f16BBgyRJmzZt0vjx49W/f3/Vq1dPmzdv1qBBg7Ry5Ur5+flZ2ho6dKj++OMPTZo0SQUKFNCcOXPUp08fffHFF8qf/9ZHc/r0afXq1UtBQUEaOnSofv/9d7333nvKly+fevXqlRMfAQAgFzKnpqpk+6E279PAPWAAkGfYXXj78MMP5erqankdGBioq1evatmyZRowYIAcHBw0d+5ctW7dWkOHDpUk1atXTydOnND8+fO1ePFiSVJERIT27Nmj8PBwBQcHS5Lc3d0VGhqqrVu3KjQ0VJIUHh6uYsWKadasWTIajQoMDFR0dLQWLFigbt26yWg02vYDAADkSgYHB63YfFwXo6/bpL+SroV5+C0A5DF2F95uD25pqlSpos8//1zXr1/XlStX9Oeff+r111+3qgkNDdWMGTOUmJgoo9Go3bt3y2QyKSgoyFLj4eGhKlWqaPfu3Zbwtnv3bjVv3twqpIWGhmrhwoWKiIhQQEBANl0pAMDeHPztok6di7FJX57lnAlvAJDHPBZrLX7++WeVKlVKRYsWVWRkpKRbs2i38/T0VFJSks6cOSNJioyMlLu7e7r71jw8PCxtXL9+Xf/88488PDzS1RgMBksdAAAAAGQ3uw9vP/30kzZv3qyePW89byYm5ta/eJpMJqu6tNdp52NjY+Xk5JSuPWdnZ0tNXFxchm0ZjUYVKlTIUgcAAAAA2c2uw9v58+c1bNgwBQQE6OWXX87p4QAAAABAtrHb8BYbG6s+ffrIxcVF8+bNk8P/323L2dlZ0v9mzW6vv/28yWRSfHx8unZjYmIsNWkzc3e2lZiYqISEBEsdAAAAAGQ3uwxvN27cUL9+/RQXF6clS5ZYLX9Muz/tzvvRIiMj5ejoKDc3N0tdVFSUzGazVV1UVJSljcKFC6tMmTLp2kp73533wgEAAABAdrG78JacnKyhQ4cqMjJSS5YsUalSpazOu7m5qVKlStqyZYvV8c2bNyswMNCya2RISIhiYmK0f/9+S01UVJSOHz+ukJAQy7GQkBBt375dSUlJVm2ZTCb5+/tnxyUCAAAAQDp296iAyZMna8eOHRo1apTi4+N16NAhyzkfHx8ZjUYNHjxYI0aMUIUKFRQQEKDNmzfr8OHD+uSTTyy1/v7+Cg4O1pgxYzRy5EgVKFBAs2fPlre3t55++mlLXa9evbRx40YNHz5cXbt21YkTJxQeHq5hw4bxjDcAAAAANmN34W3v3r2SpOnTp6c7t337dpUvX15t2rRRQkKCFi9erEWLFsnd3V1hYWHpZsrmzJmjadOmacKECUpOTlZwcLDGjRun/Pn/97FUrFhR4eHhmj59uvr27StXV1cNGTLEsrslAAAAANiC3YW377//PlN1nTp1UqdOne5Z4+TkpKlTp2rq1Kn3rKtZs6Y+//zzTI8RAAAAALKa3d3zBgAAAAB5EeENAAAAAOwA4Q0AAAAA7ADhDQAAAADsAOENAAAAAOwA4Q0AAAAA7ADhDQAAAADsAOENAAAAAOwA4Q0AAAAA7ED+nB4AAABAbmcsXv6x7g+AfSC8AQAA3IM5NVUl2w/NkX4NDiySAvA/hDcAAIB7MDg4aMXm47oYfd1mfZZ0LayXQ31s1h8A+0B4AwAAuI+Dv13UqXMxNuvPs5wz4Q1AOszFAwAAAIAdILwBAAAAgB1g2SQAAHhg7L4IALZHeAMAAA+E3RcBIGcQ3gAAwANh90UAyBmENwAA8MDYfREAbI+1BwAAAABgBwhvAAAAAGAHCG8AAAAAYAcIbwAAAABgBwhvAAAAAGAH2G0SAAAAwGOnnKn0Y9cf4Q0AAADAYyU1NVVD6vXMkX4dHLJvcSPhDQAAAMBjxcHBQdE7Viop5qLN+nR0LinXxi9max+ENyCXMaemypCN/2KT2/oFAOQuxuLlH+v+kHdcj4xQ4vkom/VnLO1OeAMAAIBtmFNTVbL90Bzpl39ABO6P8AbkMmaDZMhD/QIAcg+Dg4NWbD6ui9HXbdZnSdfCejnUx2b9AfaM8AbkMg4GB329J1LRsTds1qerqaDaBHvYrD8AQO518LeLOnUuxmb9eZZzJrwBmUR4A3Khbf/3l83/x0l4AwAAyN1YXAwAAAAAdoDwBgAAAAB2gPAGAAAAAHaA8AYAAAAAdoDwBgAAAAB2gPAGAAAAAHaA8JZJp06d0n/+8x/5+fkpKChIM2bMUGJiYk4PCwAAAEAewXPeMiEmJkbdu3dXpUqVNG/ePF24cEHTp0/XjRs3NGHChJweHgAAAIA8gPCWCZ999pmuXbumsLAwubi4SJJSUlI0efJk9evXT6VKlcrZAeYBZrNZBoPhse8TAAAAuBvCWybs3r1bgYGBluAmSa1atdLEiRO1d+9edezYMecGl1eYzZKtg1RO9AkAAIAsYSxe/rHrj/CWCZGRkXr22WetjplMJpUoUUKRkZE5NKq8xeDgoBWbj+ti9HWb9FfStbBeDvWxSV8AACDnPI5f8CGZU1NVsv3QHOnX4JB924oYzGazOdtaf0xUrVpVr776qvr27Wt1vE2bNvL399dbb731wG0ePHhQZrNZRqMxq4b52IuJT1RySqpN+sqfz0HORXPu98aW1ypxvbaUl65V4nqzU166Vinnrzf+epJSUm13vfkcHFS0sKPN+rtdXvu9zWvy0t9TCTeTlZpqu6jj4GBQoQIPNzeWmJgog8GgmjVr3rOOmbccwr1UDy4v/cWel65VylvXm5euVeJ6H2d56Vol5ViQygl57fc2r8lLv78PG6RygsFgyFQ+sJ8rykEmk0lxcXHpjsfExMjZ2fmh2vT393/UYQEAAADIQ3jOWyZ4eHiku7ctLi5Oly5dkoeHRw6NCgAAAEBeQnjLhJCQEO3bt0+xsbGWY1u2bJGDg4OCgoJycGQAAAAA8go2LMmEmJgYtW7dWu7u7urXr5/lId3PPPMMD+kGAAAAYBOEt0w6deqU3nrrLUVERKhIkSJq166dhg0bxm6RAAAAAGyC8AYAAAAAdoB73gAAAADADhDeAAAAAMAOEN4AAAAAwA4Q3gAAAADADhDeAAAAAMAOEN4AAAAAwA4Q3gAAAADADhDeAAAAAMAOEN4AAAAAwA4Q3gAAAADADuTP6QEg59y8eVOXL19W2bJlc3ooeAhms1mpqanKly+f5dixY8d0+vRpubm5ydfXNwdHl/1u3LihsWPHasCAAfL09Mzp4WSrlJQUnT59WpJUsWJFq9/zx01iYqK+/vprnTx5UomJiapWrZpCQ0NVoECBnB7aIzl8+LCqVasmB4e89W+mFy5ckNlsVunSpS3H9u3bp7/++kvlypVTvXr15OjomIMjzDopKSmKiIhQZGSkrl69KoPBoBIlSsjPz0+VKlXK6eFluaSkJB06dEiRkZGKiYmRJDk7O8vDw0P+/v7Knz9vfcXkO5X9srfvUwaz2WzO6UEgZ3z77bcaOnSofv3115weyiP78ssvtXTpUl28eFGenp7q1auXmjRpYlXzyy+/qEuXLnZ/vYmJiZoyZYo2btyopKQkvfjiixo9erRGjRqlL7/8UpJkMBgUEhKisLAwu/5idPXq1buei4uLU/PmzfXhhx/K399fkuTi4mKbgWWT1atXq3nz5nJ1dbUcW7ZsmT788EPFxcVJkkwmkwYPHqyXXnopp4aZZV5//XU5Oztr3LhxkqQ///xTvXv31t9//235sn/+/HlVrFhRH330kUqVKpWTw30klStXVvHixdWqVSs988wzqlGjRk4PKVtFR0dr0KBBioiIkCQ1adJEs2bN0quvvqqdO3da6ry8vLR48WK7/r2VpJUrVyosLExXr16V2WyWwWCQJMuva9eurUmTJj02/9C0bNkyLViwQDExMTIYDCpYsKCkW/+oZjab5ezsrFdeeUU9evTI2YHa0OPynYrvU7n/+1Te+mcRPJa2b9+uUaNGKSgoSCEhIfr55581cOBAPfvss5o8efJjN0uxZMkSbdiwQT169JCLi4tWrFih2NhY7dy5U/Pnz1e1atX0008/aeLEiVq1apVefvnlnB7yQwsMDLxvzYABAyy/tvf/kUyaNElVqlSxhLc1a9bonXfeUYsWLdSqVStJ0qZNm/T222+rWLFiat26dU4O95Ht379fY8aMsbyeMmWKChQooE2bNsnd3V2SdOrUKQ0aNEjTp0/X7Nmzc2qoWcLDw0NffPGFVq5cqXLlyqlNmzZq06aNnnzyyZweWpabPXu2/vrrL7399tsqWrSoFixYoAEDBigqKkqffvqpfHx8dPToUb3xxhuaM2eOpk2bltNDfmiffPKJpk2bpq5duyo4OFhGo1ERERH6+OOPNWTIEPn6+uqTTz5R165dtXr1asufbXu1ePFizZ07Vz179lRoaKg8PDwsX2qTkpIUFRWlTZs2aebMmUpOTlbv3r1zeMTILL5P2cf3KcLbY6h///6Zqvv333+zeSS2sWjRIj3//PN68803Lcc2btyoSZMm6Z9//tHcuXNVpEiRHBxh1vrqq680aNAg9enTR5Lk6+url156SWPGjFHTpk0lSa1bt9aff/6pL7/8Mtf8ZfMwChYsqCJFiqh3795ydna2Onf9+nW99dZb6t27tzw8PHJohFnrzoUQH330kZ555hm9++67lmMtW7bUq6++qhUrVth9eIuJiVHJkiUtrw8cOKCZM2dafbn19PTUkCFDNH78+JwYYpZ6/fXX9dRTT2nbtm36+uuvtWTJEi1cuFDe3t565pln1Lp1a6vlhfbsv//9r4YPH64OHTpIktzd3fXMM89oxowZqlmzpiSpdu3aGjhwoObPn5+TQ31kK1asUP/+/TV48GDLsfr168vHx0fDhw/Xvn379M4772jgwIGaOXOmwsLCcnC0j27VqlUaMWKEunfvnu6co6OjvLy85OXlJVdXV3300Ud2H97y0ncqvk/Zx/epvLX4Po/YtWuXTp48qWvXrt3zx40bN3J6qFnijz/+sMxKpHnmmWe0cuVKnTx5Ut26ddPly5dzaHRZ7++//7ZaclWtWjWrn9P4+fnp7NmzNh1bVtuyZYtq166tBQsWKCEhQe3bt1eHDh3UoUMHtW3bVpIUEhJiOfa4+fPPP9WmTZt0x9u2basTJ07kwIiyVvny5XXy5EnLa6PRKKPRmK7OaDQqNTXVlkPLNoUKFdIzzzyjhQsXas+ePRo/fryKFCmi9957T02aNNFLL72k1atX5/QwH1lMTIzVvT9pv77zfqBy5crpypUrNh1bVvvnn39Uu3btdMdr1aql69ev68yZM5Ju/Xf7f//3f7YeXpa7fPmyvL2971vn7e2t6OhoG4woe+Wl71R8n7KP71PMvD2G3N3dVbVqVat/rc/Ili1bNGzYMBuNKvsUKlRI165dS3e8cuXKWrVqlXr16qWuXbtq0KBBOTC6rFeoUCHL/U+SLMtV7tzQITU1VUlJSTYdW1YrVaqU5syZo/3792vKlCn67LPPNG7cONWtWzenh2YTJpMpw406ChYsmG6Wzh517txZ8+fPV506dfTkk0+qQ4cOlqUqaUtHL1++rA8++ED16tXL4dFmPRcXF73wwgt64YUX9M8//2jjxo36+uuvNWnSJHXu3Dmnh/dI3NzctGfPHgUEBEiS9uzZo/z58+unn36yCjoHDhyw+w0eypcvr127dqVb5r179245ODjoiSeekHRrMw97/ztZkqpUqaJPP/1UtWvXvuumJCkpKfr0009VpUoVG48u6+Wl71R8n7KP71OEt8dQjRo1dPDgwfvWGQyGx+ILoLe3t3bv3q1mzZqlO1euXDmtWrVKvXv3trq3xp5VqlRJv/76q2VKP1++fDp27Fi6teinTp1SuXLlcmKIWS4wMFAbNmzQ8uXL9corryg4OFivvPJKTg8rW3Tv3t2y2cHNmzf166+/pgsukZGRli+E9qx79+76448/1L59ewUEBMjd3V0nT55UkyZNLPeB/fHHH3riiSc0d+7cHB5t9ipTpoz69u2rvn376tSpUzk9nEfWrVs3jR8/Xr/88oucnJz03//+VxMnTtT06dMVGxurypUr6/jx41q5cqXVckN71Lt3b40dO1b//POPgoKCZDQadfjwYa1bt06tW7dWsWLFJN36s1yxYsUcHu2je+ONN9S7d2+1aNFCzZo1k4eHh5ycnCRJ8fHxioyM1Pbt23X58mUtXbo0h0f76PLSdyq+T9nH9ynC22PoxRdfzNS/dtWpU0crVqywwYiyV/PmzbVw4UJdvXo1w90GixUrpo8//liDBg3Svn37bD/ALNa1a9d0uzBmdBPxtm3/r737j6mq/uM4/tTutWDJD2kRzsvStJk2VgrVmJTLuSRAK6KStUaCxSKnbq7FP9BGA5eTjeG1XPzRarOokRVXCeeaf7iSWtNR0eYSSShT8YJoYSCc7x8ukrjot8Hldj6f1+Mvd89R3s/pBm/PveccICMjY4qmCj+Px0NhYSHZ2dm88cYbPPnkkyNLjilC/W9mqCVtz549pKSkTMVIYTVt2jRef/11srKy+Oijj/jiiy+4fPkyw8PDnDp1ivnz57Np0yby8vJc/zmL2bNnh3xLaCgm3JEwLy8Pr9dLIBDg999/p7KykuzsbGJjY3nttdcIBoNERUWRn5/P888/H+lxJyQ3N5eoqChqa2vZv38/juMQFxfHunXrePHFF0fOS05O5pVXXongpJNjyZIlfPLJJ9TV1bF//35OnTo16nhSUhIZGRkUFRWRnJwcoSknj00/U+nnKXf8PKVHBYiIKx05coSOjg4efPBBEhISIj2OiPwLwWBw1CMxTHHp0iUGBgaIiYmJ9ChTpr+/n76+PuDKW72joqIiPJGI2bS8iYiIiIiIuIDuNmmx48ePu/6Wxf+Ges1lUyuo12Q2tYJdvaa1trW1cfDgQU6ePBnyeDAYHHnQsQls6rWpFdzXq+XNYj/99JPrn6/zb6jXXDa1gnpNZlMr2NVrSmt/fz8FBQXk5uZSXFzMI488woYNG8Y856yzs5PS0tIITTl5bOq1qRXc26sblhjonx++HE+o28G6kXpDM6HXplZQ73hM6LWpFezqtakV4M033+THH39k27Zt3HXXXXz77bfs2LGD3Nxc3n77be68885IjzipbOq1qRXc26vlzUAPPPDA/3UXPsdxjLhbn3pDM6HXplZQ73hM6LWpFezqtakVoLm5mY0bN5KdnQ1cuTvqypUr2bx5M/n5+fj9/pHn+5nApl6bWsG9vVreDBQVFUVqaiqPPvroNc/77rvveP/996doqvBRb2gm9NrUCuodjwm9NrWCXb02tQKcPn2aBQsWjHotPj6euro6SktLWb9+PVu3bv1PPRdrImzqtakV3Nur5c1AixcvZnh4mMcff/ya50VHRxvxjUS9oZnQa1MrqHc8JvTa1Ap29drUCnDrrbfS0dFBWlraqNc9Hg/btm0jISGBLVu2kJOTE6EJJ5dNvTa1gnt7dcMSA6WkpPD9999f97yoqCiSkpKmYKLwUm9oJvTa1ArqHY8JvTa1gl29NrUCpKam8umnn457/NVXX2XTpk3XPMdNbOq1qRXc26vnvBlocHCQS5cuMXPmzEiPMiXUay6bWkG9JrOpFezqtakVrrz9c9++fbzwwgvEx8ePe15jYyNffvklVVVVUzjd5LOp16ZWcG+vljcREREREREX0GfeDDc4OEhXVxfnz58HIDY2Fp/Ph8dj5l+9es3ttakV1Gtyr02tYFevTa2gXpN7bWoFd/X+9yaSSdHa2orf7+err75icHBw1C2KvV4v6enpvPTSS6SkpER40smhXnN7bWoF9Zrca1Mr2NVrUyuo1+Rem1rBnb1626SBDh48yMsvv8zdd99NVlYWd9xxBzExMQD09fVx/PhxmpqaRv7BPvTQQxGeeGLUa26vTa2gXpN7bWoFu3ptagX1mtxrUyu4uNcR46xevdopLy+/7nllZWXO6tWrwz9QmKk3NBN6bWp1HPWOx4Rem1odx65em1odR73jMaHXplbHcW+vHhVgoBMnTlz3YaEAWVlZnDhxYgomCi/1hmZCr02toN7xmNBrUyvY1WtTK6h3PCb02tQK7u3V8magpKQkWlparnteS0uLEc+cUW9oJvTa1ArqHY8JvTa1gl29NrWCesdjQq9NreDeXt2wxEBFRUWUlZVx8uRJVq1axbx580bew3vhwgXa29v5/PPPCQQCVFRURHjaiVOvub02tYJ6Te61qRXs6rWpFdRrcq9NreDeXt2wxFB79+6ltraWjo6Okbvm/MVxHG6//XY2bNhAVlZWhCacXOr9m2m9NrWCeq9mWq9NrWBXr02toN6rmdZrUyu4s1fLm+E6Oztpb2+nr68PgJiYGObNm4fP54vwZOGhXnN7bWoF9Zrca1Mr2NVrUyuo1+Rem1rBXb1a3gz3xx9/EB0dHfLY4OAgZ8+eZfbs2VM8Vfio92+m9drUCuq9mmm9NrWCXb02tYJ6r2Zar02t4K5e3bDEUH6/n7S0NJYuXcry5ct57733xpzT1tbGihUrIjDd5FOvub02tYJ6Te61qRXs6rWpFdRrcq9NreDOXi1vBmpoaMDv95OZmUlZWRlLly6lqqqKwsJCLl68GOnxJp16ze21qRXUa3KvTa1gV69NraBek3ttagUX907xc+VkCqxZs8aprq4e9do333zjZGRkOGvWrHHOnDnjOI7jHD161Fm4cGEkRpxU6jW316ZWx1Gv45jba1Or49jVa1Or46jXcczttanVcdzbqytvBvr5559JT08f9VpqaioffvghQ0NDPP3007S3t0dousmnXnN7bWoF9YK5vTa1gl29NrWCesHcXptawb29Wt4MFBMTQzAYHPP6bbfdxu7du0lMTCQ/P58jR45EYLrJp94rTOy1qRXU+xcTe21qBbt6bWoF9f7FxF6bWsG9vVreDLR48WIOHDgQ8tjMmTN55513uOeee9i6desUTxYe6v2bab02tYJ6r2Zar02tYFevTa2g3quZ1mtTK7i3V8ubgXJycvjll1/o7e0NefzGG2/E7/eTl5dHUlLS1A4XBuodzaRem1pBvf9kUq9NrWBXr02toN5/MqnXplZwb6+e8yYiIiIiIuICuvImIiIiIiLiAlreREREREREXEDLm4iIiIiIiAtoeRMREREREXEBLW8iIiIiIiIuoOVNRERkAoqKikhLS6O7u3vMsQsXLrBs2TLy8vIYHh6OwHQiImISLW8iIiITUF5ezuDgIFVVVWOOVVdX09PTQ0VFBdOn61uuiIhMjL6TiIiITIDP56OkpIRAIMChQ4dGXm9tbeWDDz6goKCAhQsXhnWGP//8U1f2REQsoId0i4iITNDly5d54okn6O/vJxAI4PF4yMvL4/z58wQCAX799Vdqamo4fPgw/f39LFiwgJKSElasWDHyZ/T29rJr1y4OHTpEV1cX06ZNY8mSJWzZsmXU8tfS0sJzzz1HdXU1x44d4+OPP+bs2bN8/fXXxMTERCJfRESmiCfSA4iIiLidx+OhoqKCZ555hp07dzJr1ix++OEH6urq6OrqYu3atSQmJrJ+/Xqio6NpamqipKSE2tpaVq5cCUBnZycHDhxg1apVzJkzh+7uburr63n22WfZu3cviYmJo77mzp078Xq9FBYWMjAwgNfrjUS6iIhMIV15ExERmSQVFRXU19fj9Xp5+OGH2b59OwUFBZw7d46GhgZmzJgBgOM4rF27lp6eHpqbmwEYGBjA4/GM+mxcV1cXmZmZFBcXU1JSAvx95c3n8xEIBLjpppumPlRERCJCn3kTERGZJJs3byYuLo7p06dTWlpKb28vhw8fJjMzk4sXLxIMBgkGg/T09LBs2TI6Ojo4ffo0ADNmzBhZ3IaGhujp6SE6Opq5c+fS1tY25ms99thjWtxERCyjt02KiIhMkptvvpm5c+fS09PDLbfcQmtrK47jUFNTQ01NTcjfc+7cORITExkeHubdd99l9+7ddHV1MTQ0NHJOXFzcmN83Z86ccGWIiMh/lJY3ERGRMPnrDpDr1q0jIyMj5DnJyckAvPXWW9TU1JCbm8vGjRuJjY1l+vTpVFZWEuoTDrrqJiJiHy1vIiIiYeLz+QDwer2kp6df89zm5mbuv/9+KisrR73e19dHfHx82GYUERH30GfeREREwiQhIYH77ruP+vp6zpw5M+Z4MBgc+fUNN9ww5gpbU1PTyGfiREREdOVNREQkjMrLy8nPzycnJ4ennnoKn89Hd3c3R48e5bfffuOzzz4DYPny5fj9fkpLS7n33ns5duwYjY2NI1fvREREtLyJiIiE0fz582loaGDHjh3s2bOH3t5eZs2axaJFi0Zu/w9QXFxMf38/jY2N7Nu3j0WLFrFr1y62b98ewelFROS/RM95ExERERERcQF95k1ERERERMQFtLyJiIiIiIi4gJY3ERERERERF9DyJiIiIiIi4gJa3kRERERERFxAy5uIiIiIiIgLaHkTERERERFxAS1vIiIiIiIiLqDlTURERERExAW0vImIiIiIiLiAljcREREREREX0PImIiIiIiLiAv8DHAnsuNX5+fkAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}