LR_ps4.ipynb

{
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python",
      "version": "3.10.12",
      "mimetype": "text/x-python",
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "pygments_lexer": "ipython3",
      "nbconvert_exporter": "python",
      "file_extension": ".py"
    },
    "kaggle": {
      "accelerator": "gpu",
      "dataSources": [
        {
          "sourceId": 63364,
          "databundleVersionId": 6967454,
          "sourceType": "competition"
        }
      ],
      "dockerImageVersionId": 30588,
      "isInternetEnabled": true,
      "language": "python",
      "sourceType": "notebook",
      "isGpuEnabled": true
    },
    "colab": {
      "name": "LR_ps4_new",
      "provenance": [],
      "gpuType": "T4",
      "include_colab_link": true
    },
    "accelerator": "GPU"
  },
  "nbformat_minor": 0,
  "nbformat": 4,
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/harmonicfunc/LogicalRhythm2k23/blob/main/LR_ps4.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "source": [
        "\n",
        "# IMPORTANT: RUN THIS CELL IN ORDER TO IMPORT YOUR KAGGLE DATA SOURCES\n",
        "# TO THE CORRECT LOCATION (/kaggle/input) IN YOUR NOTEBOOK,\n",
        "# THEN FEEL FREE TO DELETE THIS CELL.\n",
        "# NOTE: THIS NOTEBOOK ENVIRONMENT DIFFERS FROM KAGGLE'S PYTHON\n",
        "# ENVIRONMENT SO THERE MAY BE MISSING LIBRARIES USED BY YOUR\n",
        "# NOTEBOOK.\n",
        "\n",
        "import os\n",
        "import sys\n",
        "from tempfile import NamedTemporaryFile\n",
        "from urllib.request import urlopen\n",
        "from urllib.parse import unquote, urlparse\n",
        "from urllib.error import HTTPError\n",
        "from zipfile import ZipFile\n",
        "import tarfile\n",
        "import shutil\n",
        "\n",
        "CHUNK_SIZE = 40960\n",
        "DATA_SOURCE_MAPPING = 'anyas-gojo-revival-space-shop:https%3A%2F%2Fstorage.googleapis.com%2Fkaggle-competitions-data%2Fkaggle-v2%2F63364%2F6967454%2Fbundle%2Farchive.zip%3FX-Goog-Algorithm%3DGOOG4-RSA-SHA256%26X-Goog-Credential%3Dgcp-kaggle-com%2540kaggle-161607.iam.gserviceaccount.com%252F20240405%252Fauto%252Fstorage%252Fgoog4_request%26X-Goog-Date%3D20240405T180446Z%26X-Goog-Expires%3D259200%26X-Goog-SignedHeaders%3Dhost%26X-Goog-Signature%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'\n",
        "\n",
        "KAGGLE_INPUT_PATH='/kaggle/input'\n",
        "KAGGLE_WORKING_PATH='/kaggle/working'\n",
        "KAGGLE_SYMLINK='kaggle'\n",
        "\n",
        "!umount /kaggle/input/ 2> /dev/null\n",
        "shutil.rmtree('/kaggle/input', ignore_errors=True)\n",
        "os.makedirs(KAGGLE_INPUT_PATH, 0o777, exist_ok=True)\n",
        "os.makedirs(KAGGLE_WORKING_PATH, 0o777, exist_ok=True)\n",
        "\n",
        "try:\n",
        "  os.symlink(KAGGLE_INPUT_PATH, os.path.join(\"..\", 'input'), target_is_directory=True)\n",
        "except FileExistsError:\n",
        "  pass\n",
        "try:\n",
        "  os.symlink(KAGGLE_WORKING_PATH, os.path.join(\"..\", 'working'), target_is_directory=True)\n",
        "except FileExistsError:\n",
        "  pass\n",
        "\n",
        "for data_source_mapping in DATA_SOURCE_MAPPING.split(','):\n",
        "    directory, download_url_encoded = data_source_mapping.split(':')\n",
        "    download_url = unquote(download_url_encoded)\n",
        "    filename = urlparse(download_url).path\n",
        "    destination_path = os.path.join(KAGGLE_INPUT_PATH, directory)\n",
        "    try:\n",
        "        with urlopen(download_url) as fileres, NamedTemporaryFile() as tfile:\n",
        "            total_length = fileres.headers['content-length']\n",
        "            print(f'Downloading {directory}, {total_length} bytes compressed')\n",
        "            dl = 0\n",
        "            data = fileres.read(CHUNK_SIZE)\n",
        "            while len(data) > 0:\n",
        "                dl += len(data)\n",
        "                tfile.write(data)\n",
        "                done = int(50 * dl / int(total_length))\n",
        "                sys.stdout.write(f\"\\r[{'=' * done}{' ' * (50-done)}] {dl} bytes downloaded\")\n",
        "                sys.stdout.flush()\n",
        "                data = fileres.read(CHUNK_SIZE)\n",
        "            if filename.endswith('.zip'):\n",
        "              with ZipFile(tfile) as zfile:\n",
        "                zfile.extractall(destination_path)\n",
        "            else:\n",
        "              with tarfile.open(tfile.name) as tarfile:\n",
        "                tarfile.extractall(destination_path)\n",
        "            print(f'\\nDownloaded and uncompressed: {directory}')\n",
        "    except HTTPError as e:\n",
        "        print(f'Failed to load (likely expired) {download_url} to path {destination_path}')\n",
        "        continue\n",
        "    except OSError as e:\n",
        "        print(f'Failed to load {download_url} to path {destination_path}')\n",
        "        continue\n",
        "\n",
        "print('Data source import complete.')\n"
      ],
      "metadata": {
        "id": "b86B2yharKST",
        "outputId": "ea72a36c-f502-472a-cab5-c3cc3972311a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "cell_type": "code",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading anyas-gojo-revival-space-shop, 339992 bytes compressed\n",
            "[==================================================] 339992 bytes downloaded\n",
            "Downloaded and uncompressed: anyas-gojo-revival-space-shop\n",
            "Data source import complete.\n"
          ]
        }
      ],
      "execution_count": 1
    },
    {
      "cell_type": "code",
      "source": [
        "#### This Python 3 environment comes with many helpful analytics libraries installed\n",
        "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n",
        "# For example, here's several helpful packages to load\n",
        "\n",
        "import numpy as np # linear algebra\n",
        "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
        "\n",
        "# Input data files are available in the read-only \"../input/\" directory\n",
        "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
        "\n",
        "import os\n",
        "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
        "    for filename in filenames:\n",
        "        print(os.path.join(dirname, filename))\n",
        "\n",
        "# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\"\n",
        "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session"
      ],
      "metadata": {
        "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5",
        "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
        "execution": {
          "iopub.status.busy": "2023-11-17T06:07:48.129444Z",
          "iopub.execute_input": "2023-11-17T06:07:48.13039Z",
          "iopub.status.idle": "2023-11-17T06:07:48.151911Z",
          "shell.execute_reply.started": "2023-11-17T06:07:48.130352Z",
          "shell.execute_reply": "2023-11-17T06:07:48.151091Z"
        },
        "trusted": true,
        "id": "hRWR_vYyrKSU",
        "outputId": "c7efedcf-c50a-4609-82e8-7f08446efd38",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/kaggle/input/anyas-gojo-revival-space-shop/train.tsv\n",
            "/kaggle/input/anyas-gojo-revival-space-shop/sample_submission.csv\n",
            "/kaggle/input/anyas-gojo-revival-space-shop/test.tsv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import re\n",
        "import spacy\n",
        "from nltk.corpus import stopwords\n",
        "from wordcloud import WordCloud,STOPWORDS\n",
        "from tensorflow.keras.utils import to_categorical\n",
        "import matplotlib.pyplot as plt\n",
        "import string"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:07:48.153719Z",
          "iopub.execute_input": "2023-11-17T06:07:48.154299Z",
          "iopub.status.idle": "2023-11-17T06:07:48.159013Z",
          "shell.execute_reply.started": "2023-11-17T06:07:48.154265Z",
          "shell.execute_reply": "2023-11-17T06:07:48.158138Z"
        },
        "trusted": true,
        "id": "Iff0Lt_7rKSU"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv('/kaggle/input/anyas-gojo-revival-space-shop/train.tsv', sep= '\\t')\n",
        "df"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:07:48.160047Z",
          "iopub.execute_input": "2023-11-17T06:07:48.160303Z",
          "iopub.status.idle": "2023-11-17T06:07:48.20154Z",
          "shell.execute_reply.started": "2023-11-17T06:07:48.160281Z",
          "shell.execute_reply": "2023-11-17T06:07:48.200685Z"
        },
        "trusted": true,
        "id": "x047mtRCrKSU",
        "outputId": "8307acb4-e218-41d2-ade2-60e4075c7195",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 614
        }
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "           date      time       id     reviewer name  \\\n",
              "0     30-Jul-18  02:16:00  5138527      Theresa Diaz   \n",
              "1     30-Jul-18  20:13:24  7881409    Michael Wagner   \n",
              "2     29-Jul-18  03:20:48  5658396    Erin Rodriguez   \n",
              "3     30-Jul-18  22:48:21  4317957   Christine Perez   \n",
              "4     23-Jul-18  12:36:42  7570569      Jamie Davila   \n",
              "...         ...       ...      ...               ...   \n",
              "2515  12-Jun-18  14:34:57    40769      Dennis Wells   \n",
              "2516  30-Jul-18  21:46:21  7343959     Jennifer Lutz   \n",
              "2517  30-Jul-18  14:57:44  2100710      Kevin Hanson   \n",
              "2518  28-Jul-18  18:09:07  6703141  Justin Schneider   \n",
              "2519  30-Jul-18  03:01:49  8475950   Danielle Castro   \n",
              "\n",
              "                                       reviewer address contact number  \\\n",
              "0              2373 Long Mews\\nSouth Lorraine, FL 83715     7445448464   \n",
              "1     34120 James Well Apt. 930\\nSouth Kenneth, AK 5...  (202)233-6662   \n",
              "2              7996 Booth Mission\\nTaylorport, AL 13457  (219)882-0705   \n",
              "3                            USS Schaefer\\nFPO AA 86432   291-900-6087   \n",
              "4     000 Kevin Cliffs Suite 674\\nBrennanview, NM 77690     9527296610   \n",
              "...                                                 ...            ...   \n",
              "2515  416 Murphy Hill Suite 083\\nPort Garyshire, RI ...     4454701228   \n",
              "2516  46716 Jackson Common Suite 050\\nWest Stephen, ...  (798)227-0483   \n",
              "2517  724 Miller Center Apt. 352\\nSouth Maurice, ND ...  (472)841-0473   \n",
              "2518    149 Hall Valleys Suite 629\\nBryantown, NV 69983   270-658-6063   \n",
              "2519  2899 Connie Springs Suite 598\\nBridgesborough,...     8863140484   \n",
              "\n",
              "                         variation  \\\n",
              "0                      Black  Plus   \n",
              "1     Configuration: Fire TV Stick   \n",
              "2                      Black  Show   \n",
              "3             Heather Gray Fabric    \n",
              "4                      Black  Plus   \n",
              "...                            ...   \n",
              "2515                         Black   \n",
              "2516                    Black  Dot   \n",
              "2517          Heather Gray Fabric    \n",
              "2518                   Black  Show   \n",
              "2519                    Black  Dot   \n",
              "\n",
              "                                       verified_reviews  sentiment  feedback  \n",
              "0                                 Love my new Echo Plus          5         1  \n",
              "1                                    Works really well.          5         1  \n",
              "2     Echo Show is said to work with certain apps bu...          2         0  \n",
              "3     Very cool product. Speaker sounds good with my...          5         1  \n",
              "4     So far I love it.  It was easy to set up - if ...          5         1  \n",
              "...                                                 ...        ...       ...  \n",
              "2515  Bought this for my son and it didn’t work. He ...          1         0  \n",
              "2516                               Alexa is phenomenal!          5         1  \n",
              "2517  The sound is amazing and many collections of a...          5         1  \n",
              "2518  Love how it shows the song info on the screen ...          5         1  \n",
              "2519                  It works just like my other Dots.          5         1  \n",
              "\n",
              "[2520 rows x 10 columns]"
            ],
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              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>time</th>\n",
              "      <th>id</th>\n",
              "      <th>reviewer name</th>\n",
              "      <th>reviewer address</th>\n",
              "      <th>contact number</th>\n",
              "      <th>variation</th>\n",
              "      <th>verified_reviews</th>\n",
              "      <th>sentiment</th>\n",
              "      <th>feedback</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>30-Jul-18</td>\n",
              "      <td>02:16:00</td>\n",
              "      <td>5138527</td>\n",
              "      <td>Theresa Diaz</td>\n",
              "      <td>2373 Long Mews\\nSouth Lorraine, FL 83715</td>\n",
              "      <td>7445448464</td>\n",
              "      <td>Black  Plus</td>\n",
              "      <td>Love my new Echo Plus</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>30-Jul-18</td>\n",
              "      <td>20:13:24</td>\n",
              "      <td>7881409</td>\n",
              "      <td>Michael Wagner</td>\n",
              "      <td>34120 James Well Apt. 930\\nSouth Kenneth, AK 5...</td>\n",
              "      <td>(202)233-6662</td>\n",
              "      <td>Configuration: Fire TV Stick</td>\n",
              "      <td>Works really well.</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>29-Jul-18</td>\n",
              "      <td>03:20:48</td>\n",
              "      <td>5658396</td>\n",
              "      <td>Erin Rodriguez</td>\n",
              "      <td>7996 Booth Mission\\nTaylorport, AL 13457</td>\n",
              "      <td>(219)882-0705</td>\n",
              "      <td>Black  Show</td>\n",
              "      <td>Echo Show is said to work with certain apps bu...</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>30-Jul-18</td>\n",
              "      <td>22:48:21</td>\n",
              "      <td>4317957</td>\n",
              "      <td>Christine Perez</td>\n",
              "      <td>USS Schaefer\\nFPO AA 86432</td>\n",
              "      <td>291-900-6087</td>\n",
              "      <td>Heather Gray Fabric</td>\n",
              "      <td>Very cool product. Speaker sounds good with my...</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>23-Jul-18</td>\n",
              "      <td>12:36:42</td>\n",
              "      <td>7570569</td>\n",
              "      <td>Jamie Davila</td>\n",
              "      <td>000 Kevin Cliffs Suite 674\\nBrennanview, NM 77690</td>\n",
              "      <td>9527296610</td>\n",
              "      <td>Black  Plus</td>\n",
              "      <td>So far I love it.  It was easy to set up - if ...</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2515</th>\n",
              "      <td>12-Jun-18</td>\n",
              "      <td>14:34:57</td>\n",
              "      <td>40769</td>\n",
              "      <td>Dennis Wells</td>\n",
              "      <td>416 Murphy Hill Suite 083\\nPort Garyshire, RI ...</td>\n",
              "      <td>4454701228</td>\n",
              "      <td>Black</td>\n",
              "      <td>Bought this for my son and it didn’t work. He ...</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2516</th>\n",
              "      <td>30-Jul-18</td>\n",
              "      <td>21:46:21</td>\n",
              "      <td>7343959</td>\n",
              "      <td>Jennifer Lutz</td>\n",
              "      <td>46716 Jackson Common Suite 050\\nWest Stephen, ...</td>\n",
              "      <td>(798)227-0483</td>\n",
              "      <td>Black  Dot</td>\n",
              "      <td>Alexa is phenomenal!</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2517</th>\n",
              "      <td>30-Jul-18</td>\n",
              "      <td>14:57:44</td>\n",
              "      <td>2100710</td>\n",
              "      <td>Kevin Hanson</td>\n",
              "      <td>724 Miller Center Apt. 352\\nSouth Maurice, ND ...</td>\n",
              "      <td>(472)841-0473</td>\n",
              "      <td>Heather Gray Fabric</td>\n",
              "      <td>The sound is amazing and many collections of a...</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2518</th>\n",
              "      <td>28-Jul-18</td>\n",
              "      <td>18:09:07</td>\n",
              "      <td>6703141</td>\n",
              "      <td>Justin Schneider</td>\n",
              "      <td>149 Hall Valleys Suite 629\\nBryantown, NV 69983</td>\n",
              "      <td>270-658-6063</td>\n",
              "      <td>Black  Show</td>\n",
              "      <td>Love how it shows the song info on the screen ...</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2519</th>\n",
              "      <td>30-Jul-18</td>\n",
              "      <td>03:01:49</td>\n",
              "      <td>8475950</td>\n",
              "      <td>Danielle Castro</td>\n",
              "      <td>2899 Connie Springs Suite 598\\nBridgesborough,...</td>\n",
              "      <td>8863140484</td>\n",
              "      <td>Black  Dot</td>\n",
              "      <td>It works just like my other Dots.</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2520 rows × 10 columns</p>\n",
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              "type": "dataframe",
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              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 2520,\n  \"fields\": [\n    {\n      \"column\": \"date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 73,\n        \"samples\": [\n          \"25-Jul-18\",\n          \"3-Jun-18\",\n          \"26-Jul-18\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"time\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 2484,\n        \"samples\": [\n          \"02:11:17\",\n          \"16:23:37\",\n          \"10:56:51\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2587654,\n        \"min\": 217,\n        \"max\": 8886268,\n        \"num_unique_values\": 2520,\n        \"samples\": [\n          6415773,\n          7011559,\n          5238926\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"reviewer name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2471,\n        \"samples\": [\n          \"Maurice Moore\",\n          \"Justin Wilson\",\n          \"Erica Richardson\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"reviewer address\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2520,\n        \"samples\": [\n          \"5155 Frank Alley\\nDunnfort, ID 96645\",\n          \"85290 Alexandra Flats Suite 510\\nTarahaven, MH 18983\",\n          \"194 Katherine Mall Apt. 570\\nEast Cherylmouth, RI 20107\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"contact number\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2520,\n        \"samples\": [\n          \"7383202662\",\n          \"(706)839-7890\",\n          \"2998265809\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"variation\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 16,\n        \"samples\": [\n          \"Black  Plus\",\n          \"Configuration: Fire TV Stick\",\n          \"Sandstone Fabric \"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"verified_reviews\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1965,\n        \"samples\": [\n          \"Sound is terrible if u want good music too get a bose\",\n          \"Really like the show me feature. I also like video calls with others.\",\n          \"The refurbished echo for has been wonderful. I purchased this for my mother. She loves the ability to contact me without a phone, listen to music, weather, and ask questions. It's been a wonderful gift and works excellently with no problems\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"sentiment\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 1,\n        \"max\": 5,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          2,\n          1,\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"feedback\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train_df = df.loc[:, ['verified_reviews', 'sentiment']]\n",
        "train_df"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:07:48.203663Z",
          "iopub.execute_input": "2023-11-17T06:07:48.204095Z",
          "iopub.status.idle": "2023-11-17T06:07:48.214987Z",
          "shell.execute_reply.started": "2023-11-17T06:07:48.204062Z",
          "shell.execute_reply": "2023-11-17T06:07:48.214169Z"
        },
        "trusted": true,
        "id": "6N-mCLvprKSV",
        "outputId": "87d5b66c-3bbd-4642-945e-32904bed738e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        }
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                       verified_reviews  sentiment\n",
              "0                                 Love my new Echo Plus          5\n",
              "1                                    Works really well.          5\n",
              "2     Echo Show is said to work with certain apps bu...          2\n",
              "3     Very cool product. Speaker sounds good with my...          5\n",
              "4     So far I love it.  It was easy to set up - if ...          5\n",
              "...                                                 ...        ...\n",
              "2515  Bought this for my son and it didn’t work. He ...          1\n",
              "2516                               Alexa is phenomenal!          5\n",
              "2517  The sound is amazing and many collections of a...          5\n",
              "2518  Love how it shows the song info on the screen ...          5\n",
              "2519                  It works just like my other Dots.          5\n",
              "\n",
              "[2520 rows x 2 columns]"
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              "    .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-aaf363f4-1a3d-4507-86a0-9047308cf28e 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-aaf363f4-1a3d-4507-86a0-9047308cf28e');\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",
              "\n",
              "\n",
              "<div id=\"df-9c865370-f7a0-4d95-8c54-24c8a957bf33\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-9c865370-f7a0-4d95-8c54-24c8a957bf33')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-9c865370-f7a0-4d95-8c54-24c8a957bf33 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_d9454b68-485f-4d28-9336-d19610c74080\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('train_df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_d9454b68-485f-4d28-9336-d19610c74080 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('train_df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "train_df",
              "summary": "{\n  \"name\": \"train_df\",\n  \"rows\": 2520,\n  \"fields\": [\n    {\n      \"column\": \"verified_reviews\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1965,\n        \"samples\": [\n          \"Sound is terrible if u want good music too get a bose\",\n          \"Really like the show me feature. I also like video calls with others.\",\n          \"The refurbished echo for has been wonderful. I purchased this for my mother. She loves the ability to contact me without a phone, listen to music, weather, and ask questions. It's been a wonderful gift and works excellently with no problems\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"sentiment\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 1,\n        \"max\": 5,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          2,\n          1,\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# EDA"
      ],
      "metadata": {
        "id": "yMwAx7Z9rKSV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "train_df.describe()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:07:48.215915Z",
          "iopub.execute_input": "2023-11-17T06:07:48.216192Z",
          "iopub.status.idle": "2023-11-17T06:07:48.231068Z",
          "shell.execute_reply.started": "2023-11-17T06:07:48.216168Z",
          "shell.execute_reply": "2023-11-17T06:07:48.230213Z"
        },
        "trusted": true,
        "id": "T0VJ2WKtrKSW",
        "outputId": "976fb3a5-b4ac-446f-cd11-90e1b2eb632e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        }
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         sentiment\n",
              "count  2520.000000\n",
              "mean      4.455556\n",
              "std       1.072042\n",
              "min       1.000000\n",
              "25%       4.000000\n",
              "50%       5.000000\n",
              "75%       5.000000\n",
              "max       5.000000"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-77290f37-b0b6-4cee-97ed-39cbf49bf481\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>sentiment</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>2520.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>4.455556</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.072042</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>4.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>5.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>5.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>5.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-77290f37-b0b6-4cee-97ed-39cbf49bf481')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-77290f37-b0b6-4cee-97ed-39cbf49bf481 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-77290f37-b0b6-4cee-97ed-39cbf49bf481');\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",
              "\n",
              "\n",
              "<div id=\"df-580a79c9-2ef3-4a5e-815a-9a04cd9087bc\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-580a79c9-2ef3-4a5e-815a-9a04cd9087bc')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-580a79c9-2ef3-4a5e-815a-9a04cd9087bc button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"train_df\",\n  \"rows\": 8,\n  \"fields\": [\n    {\n      \"column\": \"sentiment\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 889.6668041949448,\n        \"min\": 1.0,\n        \"max\": 2520.0,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          2520.0,\n          4.455555555555556,\n          5.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train_df.isnull().sum()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:07:48.232168Z",
          "iopub.execute_input": "2023-11-17T06:07:48.232458Z",
          "iopub.status.idle": "2023-11-17T06:07:48.243813Z",
          "shell.execute_reply.started": "2023-11-17T06:07:48.232433Z",
          "shell.execute_reply": "2023-11-17T06:07:48.242968Z"
        },
        "trusted": true,
        "id": "yGv_8g2IrKSW",
        "outputId": "72481128-e5a4-4929-c7b8-54c2476dd339",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "verified_reviews    1\n",
              "sentiment           0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train_df.dropna(inplace = True)\n",
        "train_df.isnull().sum()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:07:48.268539Z",
          "iopub.execute_input": "2023-11-17T06:07:48.269125Z",
          "iopub.status.idle": "2023-11-17T06:07:48.278082Z",
          "shell.execute_reply.started": "2023-11-17T06:07:48.2691Z",
          "shell.execute_reply": "2023-11-17T06:07:48.277162Z"
        },
        "trusted": true,
        "id": "r3orSpCHrKSW",
        "outputId": "0810e157-8666-4c32-af82-35628fc86be9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "verified_reviews    0\n",
              "sentiment           0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train_df['sentiment'].unique()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:07:48.279633Z",
          "iopub.execute_input": "2023-11-17T06:07:48.279914Z",
          "iopub.status.idle": "2023-11-17T06:07:48.289226Z",
          "shell.execute_reply.started": "2023-11-17T06:07:48.27989Z",
          "shell.execute_reply": "2023-11-17T06:07:48.288398Z"
        },
        "trusted": true,
        "id": "E-judbslrKSW",
        "outputId": "306b886a-2d22-4a28-e455-90a2a93a8715",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([5, 2, 3, 4, 1])"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train_df['sentiment'].value_counts(normalize=True)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:07:48.290299Z",
          "iopub.execute_input": "2023-11-17T06:07:48.290635Z",
          "iopub.status.idle": "2023-11-17T06:07:48.302438Z",
          "shell.execute_reply.started": "2023-11-17T06:07:48.290603Z",
          "shell.execute_reply": "2023-11-17T06:07:48.301615Z"
        },
        "trusted": true,
        "id": "yq_cdNxLrKSW",
        "outputId": "ea07d15b-2f8e-4967-898f-d752fa041b60",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "sentiment\n",
              "5    0.720921\n",
              "4    0.147678\n",
              "1    0.052005\n",
              "3    0.050417\n",
              "2    0.028980\n",
              "Name: proportion, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def wordCloud_generator(data, title=None):\n",
        "    wordcloud = WordCloud(width = 800, height = 800,\n",
        "                          background_color ='black',\n",
        "                          min_font_size = 10\n",
        "                         ).generate(\" \".join(data.values))\n",
        "    plt.figure(figsize = (8, 8), facecolor = None)\n",
        "    plt.imshow(wordcloud, interpolation='bilinear')\n",
        "    plt.axis(\"off\")\n",
        "    plt.tight_layout(pad = 0)\n",
        "    plt.title(title,fontsize=30)\n",
        "    plt.show()\n",
        "wordCloud_generator(train_df['verified_reviews'], title=\"Top words in reviews\")"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:07:48.334287Z",
          "iopub.execute_input": "2023-11-17T06:07:48.335013Z",
          "iopub.status.idle": "2023-11-17T06:07:50.106573Z",
          "shell.execute_reply.started": "2023-11-17T06:07:48.334965Z",
          "shell.execute_reply": "2023-11-17T06:07:50.105475Z"
        },
        "trusted": true,
        "id": "_dQEXUD1rKSW",
        "outputId": "abbb4036-7a9e-4ac1-eb35-eb45025a0ccb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 878
        }
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ],
            "image/png": 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FixcHHflpmuYEQBjiwIEDHIEw0nyUnZ3NOX7llVfClhMQEOCPIMwICCSBY8eOgabp4HGkqDaRKCsr4yRJ6+7u5h19ac2aNbz7CVd+dBSt8aDX6zkLyN27d4NhGE6ZhoYGzqJyaBEwchc1nEZn9EJktBZoiMl8FosXL+bdz+j7Pt7nGAmxWMwRYJubm7F27Vp89tlnIc9mOrBo0SLeZQ0GA+d4IoS4eL4Doxfh8VzbEPn5+cH/nz9/HizLhi13//33c45jRTX74IMPYDKZgse33XYb5HJ53OMbDcuy2L9/f/C4vLycl9Z0JEqlkiPQRorsN2fOHKSlpQWPw80r+/btC24qSCQSrFq1CmKxGKtWrYpaj+98tGTJEs71vf3227j99ttx5syZsOUFBARiIwgzAgJJYPRid86cOXG3MXfuXM5xW1sbr3qzZs2Kq5/R5Zubm+OqH4uRL3WTyRRi2jNyYZCfn4/S0lIA3J3N3bt3cwSS0fVG9zOSyXwWRUVFvPsYfd/jfY6zZ8/mXfaJJ57g7GSfPHkS1157LbKzs3H//ffjhRdeQH19fVz9TxajBZRojA7THC3MbqKI5zswehFuMBhAEERcfyPDGtM0DavVGravFStWBH9rALBt2zb09vZGHNtoYSdRJma9vb0cE7Nz587Ffc0EQaC/vz/Yxsj2RkIQBEfoP3PmDKcewJ1Xli5dCoVCAYA7H4XT6Iysp1arIwqiMpkM3/nOdzjn3njjDcyZMwdVVVX413/9V7zzzjvo6ekJW19AQCAUQZgREEgCI3cwAXB2A/kyus7oNiPB1+QmUvlE+swAsfPNjFwEjFwwrF27FgRBAAjsoB87doxTb+fOncH/z5w5M+KidjKfRTw7zKPv+3ifYzRWrVqFZ599NsTPpre3Fy+++CK+8pWvoKKiAllZWbj77rvxwQcfwOfzxTWeiWI8eXAiaS0SSTzfAaPRmPD+o2mf7r333uD//X5/RJOn/v5+jglccXExVq5cmZDxTfQ1j5yPWJYN2RSJNB+NrFdbW8sR/Gw2G2d+uuqqqzi+S6P53ve+h4cffjjkfF1dHf7whz/glltuQVZWFioqKvD444/j8OHDEdsSEBAQhBkBgaRgt9s5x6N3hPkwug7fpJZDO4lj7Wf02MfLVVddxXFyHblYYFmWI5SMXDykpKRwTNRG1jt79ixnMRHJPh2Y3GcRj3Pv6HGO9znG4itf+Qpqampwxx13RAwe0NPTg1deeQWbN29GeXk5Xnvttbj6EIjvO5DojQQAUU0H77nnnuCGARDZ1OzVV1+F3+8PHt97772ceuNhoq959Fwxcl6xWCw4fvx42LLz5s3jbBiMrLd7927O/Yk2HwEBDdFf/vIXfPrpp1GFwvr6ejz11FNYunQpVq5cGbKhIyAgECDy1oGAgMCYGe2T4XA44m5jdB21Ws2rntPpHFc/8fiT8EGpVGLx4sVBu/h9+/bB6/VCIpGEmHmM1uJcffXVOHnyJICARmcoahFfEzNgcp9FPITLVB8PY7muiooKvPbaazCZTNi2bRt27dqFPXv2oK6uLkRr0dLSgi9/+cs4cuRI1AzzAmNHoVBwzMI++eSTqDv8fMjMzIz4WWFhIVavXh10aK+pqcHp06dDTDFHRjEjCIKj0Rkvo4X2qqoq/OEPfxhXm9F8ecrLy5Gbm4uOjg4AXE3xSHNWlUrF8XciCAJr167Fm2++Gaw3FNwhnvloJNdccw2uueYaNDc3c35/XV1dIWX379+PFStW4O9//ztuu+02Xu0LCFwpCMKMgEAS0Ov1nOOxmFIMDAxEbZNvvViMHptOp4urPh/WrVsXFGacTicOHjyI1atXcxYSlZWVyMrKCqn361//GkDgZe7xeCCVSjn1KIriOLSPZjKfRTyMvu/jfY7xoNfrsXXr1mDo4oGBAezevRvvv/8+3nzzTY5g9fvf/x7Lli3jRMMSSAxpaWkcYWbBggVx+QSNhfvuu48TnevFF1/Eb37zm+Dx2bNngxsKQMBEMR4/oFiMNuFkWZYTmj0ZrF27Fi+//DIA4OLFi2htbUVBQQFnXhly/B/JunXrOMLMECP/n5aWFrdfXlFRER555BE88sgjAAKRGr/44gu8/fbb2LZtW1DT5PV6ce+992LJkiWcQA8CAlc6gpmZgEASGJ3vpKamJu42RteJlENlNJFyskRidBSdRC5UhoiUbyaSffoQI03UhvI40DSNPXv2BMvMnz8/qgA2mc8iHoqLiznH8T7H06dPJ2wsaWlpuPXWW/Hiiy+itbU1JOzzyMWuQOIY/dtrbGxMep9btmzhaAVfffVVTrCNZOWWGSIzM5OjSWltbU26f9ZY56OR51paWtDc3IyBgQHOHLpmzZpxm+AVFxfjoYcewieffIKamhrO3OB2u/H000+Pq30BgcsNQZgREEgCixYtAkVRweOjR4/G5YvS2NjICVeclZXFeycuUiI4vuXjCSXLl2XLlnEWLF988UWIUBJu8TBkojay3okTJzh29rHs0yfzWcRDdXU153i8zzFRpKWl4dVXX+UseI8dO8bJiSOQGNauXcs5jpRkNpGoVCrccsstweOenh5s27YNQCAa2sigAAqFIuEmTmKxGCtWrAgeO53OpDu8h8s309fXh9ra2ohlgGETtZH1du7cyTHJjDUfxcusWbNCEvXu27cvoX0ICEx3BGFGQCAJqFQqTvI6p9OJf/7zn7zrP/fcc5zjaGZUo/noo48ihiYdTWtrK2cRLJVKsXTpUt598UUqlXIWLEeOHMGuXbuCJjUkSUbMkzJycbBjxw7e+RyGmMxnEQ/Lly/nOOLH8xz7+vo4iQcTjVar5YSKZhiG99gE+HPttddyjp955pkJiSI3OufMkDZm+/bt6O7uDp6/+eabk+IvNvq6//d//zfhfYwkLy+PE5Z6586d2LFjR1AoSUtLCwnHPsTo/FfxzkdjYeTcCcRvgiogcLkjCDMCAkniwQcf5Bz/8Ic/5KURaG1tDXGAfeihh3j363a78V//9V+8yn73u9/lRP65+eabk+IzA3Bf8j6fDz/60Y+CxwsWLIjY70hh5ujRo5xM5RKJhFeI2Ml6FvGg0+k4GdXjeY7f//734fV6kzKuISbCb+hKZ+HChRztTHt7O37wgx8kvd+1a9dytI3vvfcerFZr0nLLjObBBx/k/P7ffPNNfPTRR0npa4iR81FXVxfHdCuaqdjozZWR2rPc3FyUl5cnfKzCb09AIDqCMCMgkCTuuusuZGRkBI87Oztx++23R110ms1m3HjjjRyH6/nz58e92/f0009HzBkxxFNPPYXXX389eEwQBB5//PG4+omH0dcw0lQimmnGyMR1fr8fhw4dCn62ZMkSXiGMJ/NZxMPjjz/OWUTxeY7PPvssnn32Wd597NixA9/97nfDRkyKxDvvvIOLFy8Gj6uqqsaV30UgMj/96U85CU1/9atf4Sc/+UlcOXE6Ojrw7W9/G0ePHuVVniAI3HPPPcFjt9uNZ599Fu+++27wXE5OTsJNqIbQarWcRJIMw+DOO+/E+++/H1c7x48fDwaxiMVY56OR9Xp7e9HQ0BA8Hm0mGI4//OEPePrpp+OKVvjkk09yjkdqmgUEBACwAgICcfH888+zAIJ/q1evjlj2/fff55QFwM6dO5fdtm0bS9N0sJzH42HffPNNtqCggFNWIpGwNTU1Ucdz3333ceoMtUEQBPv1r3+dbWtr45S/ePEi+8ADD4SM6+GHHx7XfYmF3+9ntVptSL8A2G3btkWtu3HjxrD1fvSjH/HufzKeRXNzM+/xDfHggw9y2oj0HJubm9lHH32UJQiCBcAWFhZy6t13331h23/nnXdYAKxYLGavu+469tlnn2Xr6+tZhmFCyra1tbFPPPEEKxaLOW3/7ne/i/u6orF69WpO+9EY/ft7/vnn4+qL7293rMRzLZH4n//5n5Dv6sKFC9nXXnuNHRwcDCnv9/vZc+fOsX/5y1/YjRs3siKRiAXA7ty5k3ef9fX1nP5kMhnn+Lvf/W5c19Dc3Mzr+zgETdPs9ddfH/Ldv/nmm9kvvviCdbvdIXVcLhd7+PBh9mc/+xm7YMGCuO55X19f8Lcz+u/ChQtR65aXl4et98ILL8Ts9/HHH2cBsFqtlr333nvZt99+m+3q6gpb9uTJk+zWrVs5fZAkyR47dozXNQoIXCkIwoyAQJzEI8ywLMv+4Ac/CPvi0+v17Lx589jZs2ezarU65HOSJNnnnnsu5nhGL6A/+ugjTnsEQbDFxcVsdXV1yIJ36G/+/PmsxWJJ0B2KzJe+9KWQvqVSKet0OqPW+8UvfhF23Hv27Imr/4l+FmMRZiwWCzt//vyQMYx8jkVFRZzP1Go1+/HHH8clzIz+U6vVbHl5Obt48WJ20aJFbHZ2dthyK1euZP1+f9zXFQ1BmAnlm9/8Ztj7T5IkW1hYyC5cuJBduHAhW1JSwioUirBl4xFmWJZlly1bFrYdAGxdXV1cbcUrzLAsy5rNZnbNmjVh+5dKpWx5eTm7ZMkSdu7cuWxBQQFLUVTYsnyZPXt2SN28vLyY9R599NGw/Y7ecAjHkDAz+i89PZ2dOXMmu3TpUnbevHmsTqcLWy5eoVJA4EpAyDMjIJBkfvrTnyI1NRXf+c53OGZNJpMJJpMpbB2NRoPnn3+eE2WIL1VVVXjvvfdw0003wWq1gmVZNDU1oampKWz56upqfPLJJ9BoNHH3FS/r1q3DBx98wDk3OtJZOMKZfSgUiriDFUz0sxgLGo0G27Ztw3XXXcfJ+B3pOWo0Grz33nsoLCwcV782mw02my1qmc2bN+OVV17hRIcTSA6//e1vMW/ePDz++OOc6H0Mw6ClpQUtLS1R66vV6rj93+677z4cPHgw5PzixYtRUVERV1tjQavVYvv27fjOd76Dp556Cn6/P/iZx+PBhQsXYraRl5fHu79169aFhKbnY0p39dVX489//jPnXGlpaVx9j6a/v5+TQHg0FEXh+9//Pn784x+PuQ8BgcsVwWdGQGAC+Nd//VfU1dXh7rvvDslIP5LU1FR8/etfR2Nj47gWz2vXrkVNTQ22bNkSceGZlZWFX/3qVzh48CBSU1PH3Fc8hFso8PFBWbBgQYjT68qVK0OS2vFhop/FWEhLS8PBgwfxy1/+MiSR6BAURWHLli2oqamJGAkuHJs2bcL27dvxjW98A7NmzYqZE4OiKGzYsAEffPAB3nvvvaj3TCCx3HvvvWhpacFPf/pTXo7ler0eW7ZswUsvvYSenh7Mmzcvrv62bt0a1hfq3nvvjaud8SASifCb3/wG9fX1ePjhh3klDS0sLMTDDz+Mbdu2xRTyRjLW+Wjt2rUhvxu+vnQ/+clP8Prrr+Puu+/mJfyoVCrcfffdOHnypCDICAhEgGDZOLwKBQQExo3X68WBAwfQ3NyM/v5+kCQJg8GA8vJyLF68mOP8y4f777+fk9iuubmZs0s/MDCAvXv3oqmpCR6PBwaDATNmzMCKFSvi7utyI9HPIhkwDIN9+/bhwoUL6Ovrg1QqRXFxMVatWhWSPX0sWCwW1NbW4uLFi+jv74fT6YRUKoVOp0NZWRnmzZuXtAh3AvHR2dmJo0ePoq+vD0ajESRJQqPRICcnB5WVlSgpKZkS39lEwrIsamtrUVtbi4GBAZjNZkilUmi1WhQVFaGqqgrZ2dmTPcwx09nZifPnz6O5uRkmkwkejwcKhQKpqamYOXMmZs+eDalUOtnDFBCY0gjCjIDANCeWMCMgICAgICAgcLlyeW3hCAgICAgICAgICAhcMQjCjICAgICAgICAgIDAtEQQZgQEBAQEBAQEBAQEpiWCMCMgICAgICAgICAgMC0RhBkBAQEBAQEBAQEBgWmJIMwICAgICAgICAgICExLeIdmjpVYTUBAQEBAQEBAQEBAIFHwEVNEEzCOKUWObAZma9bGLNfmOotztn0TMCKB0ajlmaguvw8WRweON74y2cOZdmRIi5Arr4BWZICYlMLP+mD3m9DtbkSH+xwYlpnwMREkBZahJ7zf6Ujushxc89R6tOxoxRff2TXZw5lWlKStAElQaOjfM9lDmVCu1OsWuLyR5RUg79HHAwcMg4Yn/n1yB3SZIM3KQf5j/xY8bnzi38EyE78uSCRXnDAjMF1g4We8kz2IacdM9VXIk1dxzokJKfTiTOjFmciSleKY+UPQrD/pYyEIEjnla5FZtBRSuQ5HP/1veF0WGPIXgvZ7Yew6k/QxCFxZXBzYn5R2RaQElZkbcKbro6S0P97+k3XdkwlBkqj47q9Dztf9/FuTMBoBAYGpjOAzIzDlsLl6sKPmV6hpemOyhzKtyJaVhwgyo9GLM1GmXDwx4ym9CtklK9DXepRznmUY5Javm5AxCAgkghRlAWQizRXbv4CAgMBYoRRKSNINIKXSpPUhaGYEBC4TChVzeJXLk1eiwXEk6dqZjMIlaDzxBgZ76pBXsSF43mHtgVydntS+Ba4stPIszM76EuRiNbostajt+ZTz+TUV38Hprg9QblgNMaWAxdWFM10fwu23AQAklBwzs65HiiIPBEHB6R3Eme6P4PHZMC/3FqilBlCkGOvKvgEAaBk8gibjIQBApqYCGeoKGB3NKE1bCTElR8vgkaDJ1zWV38X+pr/B7ukHAORo5yBPPx+HWl4Mji9XNxeFKdWQibVgWD+ajYfQbDwMCSWP2n+s65ZQClRmbkCqohAMS6PTcgaNA3vBXjI1jXVfBAQEBMaL4abboJo5Bz3/eBm20yeT0ocgzAgIXAaICAk0ojReZSlCDI0oDSZfT1LHJFXo4LL3h/mEAUFQSe1b4MrC4urGvqZnUJmxHiQR5rVGEMjXL8DBlhdBMz7My7kZJWkrgov/wtQlYFg/djQ8BQDQy3Pg9JpAMz4caX0F+fqFyFCX42jba2H7T1UWwuWzYG/TMwAISCg577Fna2eiLP0qnOx4GxZXFyQiJahL1+ClXVH7j3Xdc3NuhMNrxO7Gp0FRUsy/dN2N/Xt53RcBAQGBcUGSUJSUJb0bQZiZhkhESmSnzkW6thwquQEiUgI/7YHN1YP2/mPoNdcFyxIEiQ3zf4Dz7Z/AR7tRkXsNaNaP+vbP0Gepx8yCzcjQVcDhHsDZlvdgd/ePqZ+RzCvZCoN2RtRr2H7yv4O7gwAgFimwdg7Xuc9sb8eRC8+HrZ+mKcWC0i/jbOt7MNnbUJa9DinqIogpGdw+K/rM59HYtQt0GL8btTwTJVlXQa/Kh1ikCNv+7jO/hcdnj3oNUwk5pYqzvCbpwozbboRKnweXfYBzPjV7NhyWzoT0kb8qFxt+ezV2/3Av+s8ZUf3YAmQtzAQpJjHYYMLpl86idVcbp04sB/u598/Goq8twPE/n8Spv50OntcVanHrGzfh2NMnUPPCGVTcXI7K22ZAm6+F30PDdNGEA788BNNFc9ixZs7PQOVtFciYa4BcL4Pf44ez34Xeml7UvHAWtk7ubjhDs9DkqbHoqwuQtSgLEpUYjj4nWne24cQzJ+FzcjVr8hQZym4oRd7KXOhL9BArxfA5vDDWD6LujXq07GwNOy5Nrhqz7pqJ7MVZUKYrwNAMnAMu9J3px8VPm9B1pDukjlgpxpx7Z6FwXQHU2SrQHhp9Zwdw5uWz6DoaWn4q0GQ8BK/fCQDos11AtnZ28DOXz4IsTSUy1OXoszVg0NkeV9sECDT07QKLQNQdVxz+frm6eWg2HobZFfhNePyJmXdkYg1SlYU42fE2aNYP2u/HxYEDmJN9w7Awg+j3RUBAQGA8yHLyQMr4b+6MFUGYmYbkpVejJOsq+Gk3bK4+eHx2KKR6pKiLkKIuwtmWd9E1eJpTJ11bDqUsHWZHB9I0ZZhVeBM6Bo5Dr8yDyd6GNE0p5hTdigN1fx5XPwDQZ6qDwz0Qcl5MyZCbtjAgYIwKtUfTHpxpeQdikQIqWRpy0xbyuhfp2jLMyNkAlmVhsreAIiXQq/JRYFgKtTwDxxpe5pTXKLKwuPwrAICOgRNw+yzQKnORoasEADR07YDN1Rt8uU8XKEIcZ/nk//Q76r9AyfxbodBkAgAy8quh0GQgNWcO6g69kNC+CtbkY+m/L4HH6kHXsW5IVBJkLczE+ifXYt/PDqD+3YaE9SVPlWPpt6pRcesM9Nb0wdzcBk2eBhlzDXAZXWHrLHh4HuY/NBcAYKwfRO+pXkhUEqTOSEHZplIc/eOJ0H5SZNj8wiYwfgbdx3sglouQMS8Ds+6qQkq5Hp98dRunfOVtFZj/4Fx4bV4MNprgMrqgyVUjuzoL2dVZ2P2jfWj86CKnjq5Ii80vbIJIJkJ/7QAG6oyQaqTQFWlR/qVSeCyeEGFGkSbH9X++BtoCLaztNrTv64BML0N2dSZyl2Zj/y8O4vzbF8Zzi5OC22cN/p9hGRDEsMtou+kk/LQbhSmLUZVxDVoGj6DZeCgonMTC47fzLjs6zYFcrIHLZ+ZVNx5kIg38jBd+xhM85/ZbIREpQRIUGDYQXTDafREQmCrw+3UJTDUUpeUT0o8gzExD2vuPwO7qRb/lQvCFBACFGctQnrMBhRnLQ4SMVE0JDpz7P9jd/ajIvQb5hiXI0s/GvnNPw0+7sbDsbqSqiyEVq4IaibH0AyDsOQCYX3InAOBsy/shL36GpdE9GIhupZZn8hZmMnRV6LPU43TzW2CYwE61XKLDsspHkKIuglaZC4ujI1i+JGsNSFKEmqY3OJqlqvwbkJu2AH7ajQFL4ha+EwXN+uIq72eTHymuv+MkfD4n8ivWg/Z7kF+5EQ5LF84ffgmmnvBavbFSuK4AZ/5ei6P/exwsE/huZVdn4do/bsDSby1G6642uM2eGK3wo3hDIbx2L97c8i7s3cO76Ip0Rdg+8lflYf5Dc+GxevH5v+9Az8ne4GcESUBXrIPHElova2EmWne3Y+d/7gbtDfz+VFkq3Pzql5BdnQXD7HT0nRnWpJ7753kMXjChbV87GN+w1nP23TOx+PFFmHPPrBBhpuLmcogVYhz45SHUvVnP+Sy1PAUukztkXCt/sBzaAi1qnj+D438+GbzfaZWpuOGv12HZt5eg83B3iKZpsoklbHRb69BtrYNaasD8vFvhoR3oNIefy+Lql6VBjhAQpCKuFtXts0Mm1o67n9G4/RaISAlEpDQo0MjEGnj9Ds58zlcIExCYVPilRBSYQhAkCUVZxYT0JQgz0xCv3xnWxKu17zDKsq+GUhbqO+HymoMmZIP2VuQblmDAdhF+OrBYsTl7Lwkz6qAwM5Z+IlGStRrp2jK09B5Er/kc73qxYFkG51o/DAoyQOBae0y1yE1bAK0iiyPM6JS5YMGiz8JduPVbLiA3bQE0iqyEjW0icdE2sGBBgF9yW4ffnNwBXcLcWw9z76V7TRBJeyF5bV4ce/pEcGENAF1Hu9GyoxVF6wtRtL4wZLE+VuSpcuz8/h6OIAMAzv7w2rzZ98wEABx56hhHkAEAlmFhajSFrcfQLPb//EBQkAEAe7cdTdtbUHFzOdIqUznCjNvkDmtKVvvaOSx6bCG0hWEWzJe0BLQvNMeA8cJgyDldkQ55K3JhbbdyBBkAGKgz4sIHjajcMgPlXyrF8T8nx9EzGaQqC+HwGOH22+D2W+HzO0GOCPbp8duglKRCTMngo90czUYs7B4jMjVVsLn7IJfokKOdDS89rMHrtJxGadpKmJztsLp7IKbkkInVsLn7xtW/22dDv/0iyg1rUN/7BShKgpLU5Wg318R5dwQEJh/WP/yOV1XNhnr+Isiyc0Gp1GC8HvgG+mE/dwaWwwfAeOPbuCJlcmgWLoayrAISQwYopQqs3w+/zQJX00XYao7D1doctY2x5G7RLl4Ow41bAACezg60/em3MccqzcqBZtESyAuKINalgJTJgvN4JGK1PZSUUl5UCs2CasgLCkGptSAIArTDDndnO2w1J2A/dybqO1xiyISibAakmdmQZmZDYsgAIRoWMzK33oPMrfdErN/4X//Bec7xIAgzlxEsy8Drd0AqVoMgSI5Pykj/jyEBxu21BM/RTGBnnyRjfyWi9ROONE0pirOuwqCtBQ1dn8d1TbGwunrg9TtCzg9dm4iScc4TBHnpxxiqGQIAiozPXGuq4Gd9sPr6oRUbYpZ1Mw7Y/MYJGBWg1GZDpkgBQYV+rwY6TiWsH2P9IBh/6Pew+3gPitYXIq0qDUBihBmfw4fu4/z8jSgJBcPsdLAMi+bt0V+GozHWG+EaDNWMOHoC33eJSsKrHYZm4R50QZGuAEkRYOjh737TtmZU3V6BFd9ZirSKVJx/ux6DDeGFKwDIXhwQ9ruP93AEmSEGLwlmqRUpvMaWKGZmXYcURT5kIhUAAqnKAljdfTjV+Q6v+jp5DuZkfwkiUgqa8aLHVo8Oy7BWps/eiExNBVaXfhU040ND/x508BQKzvV8iplZ16FAvxAO7yCaBw8jRzscebDDXAOKFGNuzuagaViT8QBHmInUf6zrPt31ASoz1mN12dfAMDS6rLW4OCAkgxaYfrA+L0iJBJm33wNl5UzOZ5RIBCpfCVl+IXTLr0L3ay/C3dbCq13NoiVIv3YzSDnXr4MQiSCRySBJz4B2yXI46s6i963XQbsmyQSdIJC+6Sbolq6MKbyMJpr2lfF6QZAkDDdugWbhkpDPRTo9VDo9VDPnwHnxArpffQGMO/S9BADa6qXQLb8qrrElCkGYmaakaUqRoa+CWp4BqVgFipSAJEUgI0SJYphQM6SR2ozhxT33RxJvP6ORS3SYXXQLPD4bTje/FdwBSBQeX3hTFhbhBSyrswsp6iLoVYUYtA0vLlPVxQAAi6MroeObSFpcpzFXvD5muUb70QkxLZlRfTdSc2bD67KM+q4FSKQw4zaHn1ydA4EdcLleFvbzsWDr4u+gLU+RgRSRcBldIQ77sXD2h/e/CQoRYd5nuctyULS+ACllKVCkySGSiyCSikCKw/tB9J3px7ZvfoFl/74YlVtmoHLLjEDAgDfPo+GjixxzNQBQZQQCZsy4qRwzbopsCy3VJC+fQDhquz+J+vlndb/gHHdaTqNzhLBycWB/1MSTLMugpvP9sJ/1WM+jx3o+Yl2zqwv7m/7GOddu4mqtWgePoXXwWNz9x7puH+3C6a4PIn4e674ICEwVWL8fGbfdFRRkvP298BkDm3KSjEyI9YENFJFGi5yvPIKOZ/4IT3f0QDOp669DytrhtAFgGLi7OuC3WkCKxZBkZEGkCWi0lZWzkPvoN9D5tz/Bb7VGaDF5pF+3Gbplq4LH9rM1cLU0wW+zQqxPgbKiCvLCkuDnjvpzsBw5AJ/RCJ8p8uYl6/EgfdPNQUGGcbng7uoA43aBUqkhy80HQQXWe4qScmTceie6XwkfmMnZWA/GyzVh1y1ZERQU7efOwNvXG65qgBiarGgIwsw0gwCBOUW3IkNfBR/txoClEX2Wevj8LtCMFxW510JEjX8hkYh+SFKEecW3gyLFONH4SlgNyniJpRUazcXu3dCrCjC3aAva+g/D7bVCq8xBTuoCOD2D6DROH9OY0XS7G6EXZyFfPjNimYuOE+hwR154JRJ9ZgXO7Pk/2AZbkt4XQYXfqRpyto5Hho7U1hDhNECRG4u//yFYmn8/BElg7c+uQtH6QnisXnQc6EDbnnZ4LB74XD4s/bfFETU5HQc68eaWd5G3MhczbixD7opcrPz+csy6aya2f/MLWDtGbBhcuh5j/WBUDc5U85cREBCY3gxpCDxdneh96zV4ergbj8qKmci87csgZXKQEikybr0DbX/6XcQFsmrmHI4gYz1xFAOffgDawd2sUpRVIOOm2yDS6SFJMyDzjvvQ+ezTMU3IEokkLZ0jyHS//hLsZ05xypj27uQIZ7LcfHS/8jxYOro5KqVWQ7tkOVifF/0fvgvLiSOce0ap1MjccmfQ90VVNRuy3Hy4O9pC2nLU18FRz3VNUM+ZPyzMnDkl5JkRCGDQVyJDXwWnx4Qj9X8LibpVkXvtlOmnKm8T1IpMnGv7CBZHYkLxjheTvQ1nWt7GnKItKM68CgABj9+GDuMJXOzaCT+dGCfxyeKcbS8GvO3Ik1dCKzJATErhY7ww+brR6jyNQd/Ehc3tvLALhvwFYGgvfF4HMErw9LoTt+CV68OHflSkB867TSO1HAHJgiDDCy3ylMSFkXSb3GAZFvIUGUQyEfzu5CQqLVxXgKL1hbB22PDBAx/DPcpxf9m/h5oPjIRlWLTtaUfbnnYoDQos+dZiFF1dgBX/uYwTNc3RF5gH+s/2Y/8vDiX8OgiSgrJ4BpQFpZAasiFJSQMpDSxOwDBgvG7QHjd8pgF4Bvvh6emEo7URPkuof09CxiMSQVMxF6rSKsgyciBSa0GKxWC8Xngtg3B3tcFWfwb2pvNJ8wcTa3RQV8yBIr8U0rQMiFQaECIxGLcLfocNPssgHM31sDfWwWsKjSKZCERKFZRFMyDLyIUsMwdirT7wXKQysH4fGK8HtMsJz0AP3L2dcDTVw93TEbvhac5UeDYRIUioSiqgLp8FWWYuxNqUQAZ2hgXtccFnMsLd3w1XexPsF8+DdiV+szHR0E4HOp/7v7CmXo7zteh+7UXkfOVRAAHfElXFzICfxygIikL6ppuCx9YTR9H7VvgcUs6G82j/6x9R8PVvg5TJIC8ogmbREliOHEzMRfFAWTUbIAPadVdzY4ggM8Tgzm3QVi8FpVKDUqogLy6Ds4Hf5mX3qy/CcSHUR5q229D96oso/Pfvg1IGgpcoK2eFFWYmE0GYmWao5RkAgD7z+RABQyFNSYhWJhH95KUvQnbqXHQaT6Fj4HhCxpQIJCIlZuRei35LPWpGREC7nOjztKDP0zLZw4Df70ZO/lpkFi0L+/n+d76dsL5SZ6SEFRayFgXCQvefG1aze+0Bk0tlhjJsW5nzMxI2Lr/bj4E6I9JnpqFwbT4aP2lKWNsjSSnTA0AgatsoQUaTp4ZYyd8XzNHnxK7v70be8i8jYy7XB6vrSGA3NHtxFkgRGZ+WKgqkWILUZeugX7gClDz8cwFJghKpQClUkOjToCwejpLjMxthqT0Jy5mj8A6GS9QaStamrdDNHRbyTMf3o+ezt4LHurlLkL5mE0TK0BxOpFQGmSEbMkM2dPOWwmvsQ8+2t+FoTlxIaklKOtLXXA/NjDlhbeQphRKUQglpeiZUpVXI2HAzbA216N/5ITwDUUw5eEJKZdDNqYamch7kOYUR7fQJiRSkRAqRSgNpeiY0lfOANZvg6etC/95tsNVPvtmaND0LBXf9P1AK7rP0O+xoe/VP8PTHl3NrMp9Nzk33QlM1L3hsPPAF+nZ9xCmjKq1CxvobIUlJD22ABEQiNURKNeS5hdDPXwawDNrffB72htpxjS3ZWI4cjOqz4my8AFfLxaC5lXrewrDCjGrmXIi0OgAB87WBj9+L2q/fbMLgni+QtnETAEC/at2ECjOS9OF3krsz8iYBS9Pw9PZAoVJfqmfgJcw46s+FFWSGYLwe2GtPQ7t4OQBAmpnNd+gThiDMTDOGHNtHRxITUVJU5W+aEv1olTmYkXsNbM4e1LV/nLAxJQK9Kh9SsQoujwUEhHwKyaRg5nXoOP85+ttPgqHjCx0dLyK5CEu+VY2DvzwUdHDPXpyFgtX58Lv8aPmiJVjWdNEM2ksjrSIV2dVZw0keCWDufbODgkGiOPP3Wqz7n9VY8s1qWFqt6D/H3aHVFmjhGnTBaxt7uOyhoAC6URHLJCoJVnwvvDAJAIVrC9B3pi/oWzREWlUaRHJRiH+Q6aIZrbvbUbA6D0v/bTEO//4oaM+wGQMpJpG3PAfdJ3p5X4/MkI3c2x+EWKPjVT4cYl0q0lash3bWAjQ+/TOMJSuFLDsPQCCcaNYNd0I7i194eACQpBqQf+cj6N/zGQb2bYtdIQb6hSuRcfVmTiQgPqjLZkJdWom+nR/BeGjn2DonCGSsvwm6uYsDGrExIjVkI/fW+2E5exzdH742oWY5nHGkZSD/y2EEGbsVba/+X9zCxaQ+mzCIRv1uDGs3IXXZ1fE1QhBwd8eXKHYycDbG3iyw154JCjOy/MKwZRRlw0m9HRfqeDn1204dDwoz4pRUSNIN8Pb3xaiVGAjRsI8y640+r7K+4XctQfJb49hqYpt+eQeGN4koRfhk45OJIMxMM/rM51GavRbp2jJUl98Hm7MHErEKqeoiODyDMNnboFflT1o/BEFibvFtIAkKDo8RJVmrw7bf3n8Ubu+wE126thwSsRJiSgaFNBUAIJNqUZy5Cn7aAz/jgdXZDbtrfJOH0dYEm7MH+YbFyDcsDp6nGS+cHhM6B06irf/IuPoQCGDsPAOv2wqPy5z0vnpO9KLkmmLkLs2GsX4QIrkI2dVZIEgCh357hJP/xef0ofb1Osy5dxau/eMGdB/vgdfuRUppCtQ5Klx4vwHlm8sSNrbmz1twdlY6Zt1Vhc0vbEJ/7QCsnTZIVGJo8jTQ5mvw7l0fwGgbu6lUy642LHh0PvJW5mLTM9fCWD8IeYoM2YuzYW23oudkb1iN0/yH5kBfooe5yQxbtwN+lw/KTCUMs9IBFjj+f6Evub0/2Q/lHzegcssMFK7Lh7HeBJ/DC4VBAX2xDhKVBP/Y/BYvYUaWkYOCu78GUpqYAA3mU4cw1vR6MkM2CIpC1qY74hJkhiGQftW1AEFgYO9nYxoDAGSsvxEpi8PPm/yGQcKw7ksQa1PQ89nbiPt+sCwk+tRxCTIj0c5aCMbnRc8nbySkvXiQpmUg/66vhmjX/DYLWl/5E28t3hCT/mzCMHITIGPDTUipjj+alLunE377xDu1x4uXh+Dp7R02pRapNaDkihBhRZabF/y/p5OfEOe3mEHbbaAuaT1k+YUTJsz4BoffDZKMzKhlJYbhed5n4vdO8XTFvgccISlMdNLJZuqNSCAqXr8TRy+8iLLsddAp86BV5sLjtaLTeAoXu3ejMGN5QoSZsfZDEiLIxBoAQKY+siN6n7meI8xU5W+CVKzmlJGJNSjNXhs8buk9iAud28d8TRQpxoycjVDK0mCyt8LltQTs3AkCIlICnTIPFXmBwAZNPXvH3I9AAEokQcn8LSiecxN8PmeIT8Hxbb+IUDN+bF12HPjlISz62gJkLcwEJaEwcM6ImhdOo3V36ER97OkTcBldKL+xDJnzMkD7aPTXDmDvT/fDY/MmVJgBgMO/P4rOw52ouLUChtlpSK1Igc/ph7PfibOvnoO9h3+EtHC4TW58/OinWPTVBTDMSUf6zDQ4+5248H4DTj5bgzn3zAorzNS8cBZlN5QgpVQfyENDEPCY3Wjb046zr51Dz4nQxYPH6sGHD36CilvKUbyxCBlz04MR23pr+tC6qw3Ogdg7nQRFIXvzl8MKMu6eDtgbz8HT3wO/wwbW7wcplYKSKyBNy4TUkAVFXgko+fAOIcswMJ86HOedGzkeUYggw/i8sF+sg6P5AvxWM2iPCyKFGtL0TGhnLYQkNTQUevqqjXB3tgb8aOIkbcWGsItlxuuB7cJZONsuwmc1g/G4QcnkEOtToSyaAXVpJUBwd2H1C1fAZzXDePCLuMdhPLgDqtIq7kmWhau7De7udrh7u+C3W0G7nSAoEUQqDeQ5BdBWLQClCDUT1M9fBmvtCTjbLoZ8liwkqYZLggz3veKzmtD2yp/gjRLhKRxT5dmMRqwJaJL1C5aHCDK00w5HS8CnjHY6Au86pQpSQxbkOYVBgdXemLjcb8mEccaeV/x27lxKKkKFmSGBBAD8Vgv44rdag3VHtpFs7LU1SFkTiFSqqpwV0QFfs2gJxCmBzWDG64HzIj+zV79t6guysRCEmWmIwz2AU03/DPvZxe7duNi9O3jMsgy2nfgJp8ygrSXk3Oh68fYzBM14Q9rmw+4zv4ur/IC1MWo/zT370dzDDbVanrMBOWnzcarpn+gzhy40pGIVrpr9TWSlzBaEmQTQ33EK/QkMvxwNSkrB1GTG9n/bwas8y7A4++o5nH01/Ev8b9Uvhpwzt1jCnudLx8EudByMHfq742Bn1H5qXjiDmhdC7cDNzRZ8/u3w5isnnjmFE8+cCjnftK0ZTdviy38DALSXRu3rdah9PbKddSzUM2ZDms5NUst43Oh8/xV+tvsEAXlmHtQVc6CZOR/urnb4HeMLKjFSkLE3nkPPp2/CZzWHlLNdOIOB/Z8jZclqGNZuAkGODFVPIGPjzXD89VcxIwmNRJ6Vj/Srrgk5b645jL6dHwYWo2EwHdsHaVoGsr/0Zciy8jifpa++Ds72Jrg64nvGzvYmuDpbIc8pgLO1EeYzR2FvrAPtjCx0W2tPoG/Hh8hYfyP0C5aHfJ62YgPaJkiYkaQaUHD310IFGfMgWl95Gj5L5Eh84ZhKz2Y0IrUW0vQsZGy4KXjO1d2G/t2fwtFUj0jaH4KkoMgvhnZONWwXzo5rDBMCy/L6PbE+rkaYlIRGcRypdRypcYgFM6JtKkHaZD54ujphO3MK6tnzAJJE7kOPwXx4P9ytzaDtNog0WihmVEEzb3j+Mm77OGI+mNHEMl2bDgjCjMAVQ6qmGCzLoN8cPnmi1+cAw/ggphIXzepKxtg57PgrkWnA0D74feFzpwhceahnzA0517P9Hf5OyJc0Ba7uNvTt/CgQqSlB2Bpq0fnW8zH8PFgMHt4Fxu1C1qatnE8kKelIqb6Kt28EQYmQ9aU7Q3bw+/d8yssHxzPQi9ZX/oSCu78GWWbucLskiYwNN6Ll+d/zGsdIej59E4zfB6+RvykN6/eh59M3QUok0M5axPlMWVgKUiKNOzt7vEhS0lEQRiPjNQ2g7ZU/hRVOozEVnw13fBTytj4UNP0ZPLIHvV+8FzO6HsvQcLQ0wNHSMK7+JwyCAEFRMQUaUswVXhhP6PeN8bhBiQKmh4SYf3CUkW3THn6CQtT2wghakeh96zWQYgmUFVUgRCLoV6wGVoRqClmahvHzT2A+eGVtyAoe0AJXDH7aA4IgoVXlhXxGgEBx1lWgSAlM9tZJGN3lSVbxclRf90NUX/cEltzwEyy69vvIKKie7GEJTAEkqaMjLbGwnhtrDgIWTAIWF0DAPKPn43/wdlg31xyG9XxNyHn9ghW8+9TOqYY0jWsGaL9YF1cwAcbrQdcHr4UsYuVZ+VAUlPJuZwh3b2dcgsxI+r74ACw9KlIkQUKeWzSm9vgi0acFNDIqDee819iH1pf/GLcgA0zNZzOaIb8Z0/F96P383aSFCZ9sqDCRBUPKaLjPPpxz/0izqqGoZnwQaYcDrND28acWCGeSGQnW50PX3/8G54WAVQnLMAEtFMMEEl12tsO0dyda//BLmPbws1C4nBA0MwJXDM29+zG3aAsWld0Do7URTo8ZAAupWAWdMh8yiQYurwUXOj+f7KFeFmQULkHBzOvR1bgHNlMbAAJqfR6K5twIkhKju+nAZA9RYBKhZNyIOCxNg/VPfqh088mD8Dvi82Ea2LcNmoo5AIbD9Ip1KZDnFMLV2RKzfjizrP6dH4UpGR1PfzfszfVQjQhbPdS+s7Ux7vbGit9hg6OlAaqSSs55SUoaHOOKTh55kS7RpyL/7q+GCDKegV60vfKnMZsgTpdn4zX2ofeL98fdzlRGkpEZ08dlZNhgv9UCxhVqDeBuaw2Wk+Xy8zEW6fQcYcrdzvVZGS28EyIx2BhaSElGVtTPuQ0SyNp6DxTlFYF8Oy/8BZ4oYZqvNATNjMAVQ6/pHI41vIQBayM0ihzkp1cjP30xUlRFcHoGcaFzOw7W/Rkur3myh3pZkFO2Bk0176CtbhtMPedh6qlDW902NNW8g+zSVbEbELisYTzcRQZBiSA1xPFyTxLWMeRF8fR1w90Tmhh4ZD6QSMhzCiDLyOGcc3W2wN0X278qHLbzoeNX5I9/9z9ewoX6HS3Axks4kyEgEJo7/66vQazWcc57+rrR+venxyzITKdnYzy8a0psBiQTZXll7DKVs4L/d7eG90dy1A+bsipKZ/DSkIz0R/FbzPD2c4OjjBaaxKnctBajISVSKEr4P3v17HlQzZ4HABj4+L1pI8iMFPISFbUyHIJmRuCKYtDWgkFby2QP44pAptDDNhgaccU22AapPDG5XNr2dozLKV9g8nD3doUEAMjceAvaXv/LpC3KGJ8Xrs6xmZnaG89xfCKAgBlRLEZrLwJtjT2wQjghQqRUQZqWkZBkmnwJ5xRPScfnjxjOT0GsS0HB3V8NyVPk7u1E26t/Hldm++nybFi/H5azUyc5dbLQLFoC075d8FvMYT9XlFdAXjBsymg9eSxsOUd9Hbx9vZAYMkCIREi/4Sb0/POViP2KdHroV60LHpv37w4x5fPbrKAd9qD2RrOgGv0fhW5wDJGybiMIMX+fGUXpcG4cT298SV4nE9puBy4l/ZTm5AFHk5NsVNDMCAgIJAWPywyVPtQ/SaXPm5DcMwJTm3CZ4RX5JSi6/5tQ5JdMwogu5bEYo79BOCEooGkKzRA/EnlOQci58SQwjOQXIkkJDSOdTBh/mChRZPR7EbPNUdo8sTYFBXd9LRieeAh3dzvaXvnTuAQZYPo8G3dPB9hw9/syg5RIkfPAo5DlhT4XZUUVsrbeEzx2d7RFzmrPsuh7742gX5x67kJk3nZX2HDLitJy5D30GEhZQKvg6e2G+Uh4E2n7ueGocLqlK6FdvBwguN95UiZD2nWboV+1dnT1qIzc4EnbcD2kWdlxBS+YLFwjtGOahYuhrIicsmM8TDnNjJxSI1WSC40oDUpKBwWlgYiQgCICD41mvfCzPjhpKxy0CTa/EQPeDrhofmpkNgFJqiYaAgTUolToxVlQifRQUBrIKXXwvpAEBYalQbM++FkvXLQNTtoKm38QZl8PbH7jtLxugelN98X9KJl7M6QKPeymwAJArc9HTvlqtJz9OOn9kwQFjSgNGlE6lCItZKQKMkoFKSEHSYhAEaIRvx0/aNYHmvVf+g3Z4WKswd+Sw2+CmxnfwmgimQ5zhu3CWbj7uiAzZHPOSw1ZKLj7a3C2XcTgkT2wNdQC7MRkj/eM0eEdCETLGg0pkUKiT4mS04SALIz2xmuOLwfKSEYv+IcYmZNnujIyyAOlUCH/y/8PYi1XkHF1tqLt9b8kICDE9Hk2rp6xC1jTBWdTA8CwAeHi0cfhM/bD298fSPKakRnMrwIAjNuN3rf/EXVjwtXShP4P3oJh8xaAIKCetxDqOfPh7uqA32oBIRJBmpHFCRDgt1rQ8+oLEcM5m/Z8AfWceQFzKpKE4cYtSFm7EZ6uDrAMDZFaA2l2bjAq28CnHyB90028rt968ii01UsBkoSivAL55RUhZViGAeNywtvXA/u5s7AeOwRmksMuW44ehH7FahBiMQiSRPY9/wJvXy98xsB8SUqloNQakBIJmn8Vf1qPIaaEMCMhZciRzUCOrAIqUXTzE5KQQQxZQOjBsC2r3W9Cp7seHe46+JjITlc0Oz12LwiQSJPmIUdWjjRJHkREdHUkdWlxJoEcCkqL1BGf+Vkv+jwt6PZcxICnHSySvzDIlBZjnnZjzHI+xo2dxpfATNBihQ8ECKxOuxsyMrYdbZ1tP1pdoTk/xoqcUmN16l0Jay8cLc4anLcnR9U7kq6Le8GyNPIq1kMsDex4+Tx2tJ77DD3NyelfLUqFQVoIg6QAGnEaCB7K56HfDjBsz6sThyaYdNN2mP29MPt6YfL1wOrrn1KbBNNuzmBZdL3/Cgrv+XpYW2pFfgkU+SXwWU2wnD4Kc80R+Cz8MlqPlXCRj/jiMxsRcFDn7sRSSg0QQZgRKVWgZKGmVyWPfm/M44gEJecfOSkSYq0esoxcSDOyIVZpQClUoBRKkFIZSJEYhFgc+FckBpmEXeMhMzNCJEbe7f8CiT6V87mzvRnt/3gmIeGfp9OziZTn5nLC2VAPy6H9yNx6N5QVMyFOTYc4JCJiwJ+l+9UX4O3tjtmm5chB+G1WGDbfBpFGA5BkxIAArqZG9LzxStQABL5BI7r//jwy77w36Icj0mgg0nAT0DIuF3reeg3OxgtIv/7GEO1NONztrTDu3IbUq6+NWIYgSVBKFeRFpZAXlUK3bBU6n/8zfINjF8DHi99sQvc/Xkbm7XcHQ1FLDBmQGLjvWL45cSIxqcKMiJCgRLkABfLZIAkqdoUoqER6zFAtRZmyGq2us7joOA4/GyqR+tjkxrgfLxQhQr58FooUcyEhE5PvRERIkC0rR7asHC7ahmZnDTrd50GzybNL7/O2wMe4ISajO3yJSRnSJQXo9YwvcVgiSZHk8BJkGJZBt2eaxOifJLqbDqC76QDEUiVISgyP04JoEYnGgogQI1tWjnz5rJibIeNBRqmQSamQKQ2YQHkYJ/o8LejxNGHQ2zUhmwThmM5zhqevG60v/xE5t94PiT68w6xYo0fayo1IW7kB9qZ6mI7vD2QsT0L42Ug753xgGQaMzxeS5yJacj0yzGI5WYxVuJBl5kI7cyHUVXNDHOwnGsbjBggCOTfdDXk219SIpWl0vvNiwvLYTIdnMwTjvvzzd7lamgIhrl/+G5SVM6FZsBiynDxQKjUYjxu+gX7Yz52B5fD+uLQRjrpatDQ2QLOgGqrKmZBkZINSKsH6fPDbrHC1XIT99KmAZogHzqYGtP7uF9AuXgZFeSUk6QaQMjkYtwt+swn2ulpYjx2E3xoID+23mCHSRX9vyQuKkH7jFkgvRT9jfT74LCawnhHXSRAgpRKINLqg+Zk4JRVZdz+Atj/+BuAZaj4ZOOrOou2pX0G7ZAUUJeUQp6SClEjAeL2gnQ54B/rgbh9fSoxJE2YypEWYqV4NSYzFbryQBIUixVzkyMpRa9sTskj2MonJRZAM8uRVKFMuTvg9GYmcUqNKvRJFirmos+9Hn6clKf0wLIMuTwMK5LNjls2WlU8pYSZHVs6rXL+3ZUp/n6YSPk/idw4pQoRCxVwUKebG1EIkAympQJ68CnnyKtj9Juwb/MeEj+FymDPcfV1ofvbXSF2+HqlLVoMQRVrYEVAVV0BVXAGf2YiB/Z/DcuYo73wwfGDiyAYeDtbnBUYJMyOzjY8m3M7/VEGSkg7Dui9BXT4rduEJgva4kbH+JqjLQ98rBEUh67rb0P7mcwkRdKfysxkNy0RPJDldcbe3ouH73wo576irhaOOZ3JdHrA+LyyH98NyeH9C2qOdDgzu+hyDu2KneWh+8qdRP5cXlSLnK4+AoCjQNhv6Pnwb9trTEb/jBElCMaMKWVvvBiGWQJqRBUVJGZwNw8nCPd2dYe9rNCxHDsASwVeIDz7TIAY+/WDM9WMx4cIMARKV6uXIlyd3gpSQcszXXoMW52nU2w8Fd019U3DxKafUmK1eixRJduzCCexzgfZadLsbcda2Oynmd52uel7CjEFaADEpmxLPhiLEyJAW8yrb4aqPXegKhhLLkDdjPTSpBaBEoQuDk1/8esxtZ0pLUKFezkuDNhH0eVsmtL/Lbc5gfF707/4YpuP7kLpsHXRzl0QVAsS6VGRt2orU5Vej59M34Wi+kJiBjM8/HQztx2gbg2hOuuQ4o3slC1VpFXJvuS+KYBmAdjngt9tAO+2g3S4wPg8YrxeM1w1ZRg6URTOi1o8XddnMkDwynHGXzYRh7Sb07fhw3H1N1WcjcGWR/qWbQVCBWaXnrdfgbDgftTzLMHDUnYX11ImAjw0AWU4eR5i5HJlQYYYkKMzTbIRBGhqJIlkUKuZAQWlwyroNDMtMuZ30VEkO5mk2QkxGfnEnkyxZKTTiNJwwfwIHHT0ZVbxY/QOw+gegEUWPt06ARJa0FG2us1HLTQSZ0uJL/hPR8TBODHhDww4LDFMy92boMmZgoP0k/L7EmEGICAmq1CuRzVN7NlF0uKK/YBLJ5Txn+O1W9G5/FwN7P4N27mLo5y+HJCXULn4IiT4N+Xc+CtPxfejZ9u64AwWQMRbvY6nP+qKYvITdXWXR8vwfEu6P5bfxe1aqkkrkbnkABBnqb+a3W2E9XwN7wzl4+jqjJhdNXbI24cLMaEGGdrtCNCipS9fB09cDy9nwYXl5MwWfjcCVhUijDZqWMR5PTEFmJP4RkfPiCQE9XZkwYYYAiYXa65AqyY1dOMEYpIWYr70WJ8yfggUDH+OZtIXASHLlFZipvoqXk3IyUVI6LNHfhKPmD2DzJ9bBttNVD406ujADBEy7poIww3eR3OW+MKWcv6ci+owK1B97FebexOwIKSgNFuk2QUFpE9Jeohj0dsKZ4EV9JK6EOQMILFIHD+/G4OHdUBSUQj9vKdQVc0BQ4V9Z+oUrQSlU6HznpXH1O95Qp6Q49L1CR3FsZcIKOgQ8g30JiMYVP6RUhqxNW0MFGZZF/55PYTy8c0okZmT9fvTv/RSmY/uQ/+X/FxJCOWvT7fCa+secMwiYes9G4MpjZDLPaIEHwiEZERyBtlkTNqapyoS9EWdqrpoUQWaIdEk+qtQrAQR21SebHNkMzFKvmfRFyRASUo7Fus0Jd6Du8jTwilSmFRuS6rzNBxmp5G220+lOjsqWZv0wejth8xvhZhxg2OlrC02QFLxOc0La0ojSsER/05QTZACg3T32JHrxcKXMGaNxtjai872/o/GPP8XA/u0RF5KaynnQL1g+rr5Iydh9jwiRCIQoVNhivJEXvrQj/CIjEZHHxkJK9VVhzbi6PngVA/u3xyfI8IjQNBacrY1oevZJGA/uAOPzouPN50LytxCUCLlbHghJpBkPU+3ZCFx5+B3DKUfE+hTeIbwlhkyoZs4JHjubGhM+tqnGhGhm8uWzkCsLjYnNB7t/EIO+btj9JngYJ2jWB5IgQREiyEgVFJQWOnEGVKIUEDEMnvPkVXDRtkmLOjREhrQYszRr4q7HgoHFNwCrvw9O2goP44Cf9YNlGVCECCJCCjmlglqUCp04A1Iyvtj1YlKGhdrrcdD0VsLM8XyMG/3eFl5+KNmyclywH05Iv2MhW1Ye8zsEAGZfL+x+U1LG4GVcOGrmOslRhBgSUgYJIYOYlEFCyiEmpZAQQ/8PfKagNJBRqqSMaywMdtciLXce2uo+G1c7KpEe1fovQUwkRpvqZVxwM45gXhkCJESkBGJCAgkpjyuYgI/xTEjwiitpzoiE32FD/+5PMHhkN9JXXx9WcElbuRHmmsNg6bFtAozOWRIPkaKx+aPsivqsZrAME6IJkaZlXAr1PLFoKueGnLM31I4pu3yyHOhbX/k/jIyI6HfY0PHG31Bw79c5keRESjVyb/sXtL70vxG0LNGZas9G4MqDttng6eqENDsHhEiEzK33oOeNV0BHMO8kRCJo5i1C6rU3BLXMzosX4O3rmchhTwpJF2YUlBYzVEvjqsOwDDrc59DiPMPbfENCypEtK0OBfDbkVGgW1yHKVUviGkuiUYlSMEezjteieQiLrw9trlr0eVriCi2tE2cgT16FLGkZSILfbq6cUmOeZiOOmN/n3U8sOlz1vIWZBvuRSTPf4mtiliytTCRo1gcX7YML0RPD5smrMFN91QSNKpT8Sm5eIa/bipyy1dCmFcNmagdDcxcUbXXbYrYpJRVYqL1+zIIMzfox4G2H0dsBi68PNnowprZLSiqgEqVARemhE2ciVZIdMeRxl/tC0rVnV+KcEQ3a5UTPp2/C09eFzGu3cD4TqTRQ5BXD0TK2kOmRBBJedXWpIedotws+a+SND5am4RnoCUkcKs/OD4SfnkAomRzS9KyQ8+aaI2NrT5EsDUbo+8Hd24mu919B7q33Y2QUB1lGDrK+dCc6334pbL2ovUyhZ5MMSJkYjDt8EA9pbho8HaFJYAUmnv5P3kPuVx4NJMssm4Gi//ghXC1N8Pb3gvF6QVAUKLkc4tQ0yHILONph36ARvW+9PomjnziSLszM1qzh5VA9hNnXg9PWnXHboHsZF1qcp9HqPIsCxSyUK5eMO3dNoqEIMeZrr+F9P1y0bVyhUM2+QIK/i9QJzFSv4m3mlyLJRqFiDlqcp8fU72gGvG3wMM6Yu75DZl5Gb2dC+o0HrSidl7kMzfrR7b78VbZjITV7Tsg5t2MQIokS+oxQzWwsYYYAgfnajVE3JyJh9Q+g1XkG3Z7GuIUND+OEx+uEER3BhKhqUSpSJTnIlJZwEmom28TsSp0z+GA6cQDqirlQFpZxzssy88YuzOhSQEplY/KJkOeFbth4+rpi1nO2XQxZMCuLytG/59O4xzAeIkUJc3ePLbu8LDt88sFkYas/g/5dnyB9zfWc85qKufBedc2Y7udUeTbJoOAHd6DlJ6+B9XJNB1Vzi5D/3S04d+eTkzQygZG4mhrR9cpzyLh5KyiVGoRIBEVpORSlUTZfGQbWU8cx8Mn7V0RCVSDJwkyGtAh6cehOTyS63A04a9s5rmzwLBi0OE/D6O3AIt0mSKdI6FYAKFcuhpKnzX+vpxlnrDvDJv6MFydtwTHzRyhTLUaxYj6vOmXKxej1NMNFR9cG8IEFiy73BRQp5sUsmyObMSnCTLacX9SdXk9zQp7J5ch4Qi2Ho0gxDzpxZlx13IwDF+yH0OVObDJTm98Im9+IFudpyCk1sqSlUIp0sCfB+X0kV+qcwRf7xXMhwgyliM9UjgNBQllYBlv9mbirqopD5xBXV+yIh/aGWqQsWsU5J88phDQtA56B3rjHMVYiJYn0u+JfDImUasjCaHmSzcCBzyFJy4B21kLO+bSVG+Dp74G17lRc7U2VZ5MMSDGFgu9uQevP/gmWDqy5Uq5biOyHrkHvq7sneXQCI3GcP4eW3/4c6tnzoSivgDQzC5RKA1IiAev3g/F54bdY4O3vhbu1Gfa6s/BbzJM97AklacIMASIuk67Ai3hHwkyMbP5BHDK9i2X6WxKWFXs8aETpyFfwy63T6a7HWeuuhJpbsWCD/ih8FicUIUKZshqnrTsS0n+H6zwvYSZDWgyK2JPwTOPRCISGLuFVttM9cSF4r2RUIj1KldVx1en3tuK0dQd8TGIygEfCRdvQ5DyZ1D4AYc4YK0yU6GF80FTOi1uYkWXlQWoIDR5iPRf7e+JoaYDPMgixNoVzPm3lRnS++3Jc4xgPkbRRpEQC2h9fTiF99aqkBQCIRffH/4AkJQ3y7JERzghkf+lOeE0DcPd08G5rqjybZND8o1dR9OO7kPfvN6P9N+8i6yvrod84H+2/fgeWAxMT1ESAP4zHA8uxQ7AcOzTZQ5mSJC0sTrq0AEpKx6usk7YmVJAZwkXbcNLy2ZQIoVupXs7L5t3o7cBZ6+6kjbnBfgRGL7/JPEtWBpUoJXZBHjhoM8y+2DtZFCFCJs+klYkiXZrPS+B10bZJ0RpdiZQpF/P22QCAdtc5HDd/knRBZiK50ucMPsizQnOW+caZs0NTOQ/StIzYBUeQtmJDyDmvsY/fwpllYTy0M3QcVfOhrgg13UwWfnt4jVo4P5poSFLSQ7QZEwnr96PjjTARzkRi5N32L1GTboY2NjWeTTJgXF40/+hViNO0mPHs16FdWYWm770oCDIC05KkaWby5TN5l6217YY/CRnoAcDk60GbqxYFcn47nMkgRZLDy9zOx3hw2rojqdHWWLCote3FypTbY/oUESBQIJ+FWtuehPTd6a7n+BtEIls2A53uBGX05kEOb8f/iRvTlYxWbECGtIh3+U73hYR9R6cKl/ucIU3LACmRwdU19jwgsowcqGfMDhmtc4z+MkEIAtk33o3Wl/8IxhtbONbNXwZ1eej7xXR8P+8uzScPQb9wZYgQlXPj3ehkXx6T2RsAUHIFFPmlsNXH9mWiXQ54B/tDkpRqZy2Es5Wfn6BIqULurfeDlExuHreIEc7UWuRueQCtf/8j7zDTU+HZJAvG6UHzf72Cwu/fDldLH1yN3XG3cTV5G69NFx+82M28G1fbEoUWc7f8EAAwcPEomvcHnNml6lSkly6BNqcCEqUOlFgG2uuCy9ILS+d59F84CL83vkTNipQcpBYtgCarLNim3+uExzoAS9cF9Dccgs8VGpmQIEgs+PLPQVJi0D43Trz2/bDtz9jwCDRZgbUGQ/tw4tX/BBvGpaJ09X3QFwQE5bMf/BouU/zP5EokKcKMnFIjTZLHq2y/pzXpu92NjmPIlVXEFYggkZQoFvAq1+A4OiE5cJy0BZ3ueuTJq2KWzZaVod5+MCHCZre7ERWq5TGfQ4okGzJKBTcdObt0ohATUqRLQnd3wyGYmE0MfH00AMDi70et7fKz777c5wypIRs5N90DT38PLGePw3GxDm4ezvIBCKgrZiPruttAUFzhytl6ET6bmWc7kZFl5KDg7q+h68PXozrxpyxZDcPaG0LOewZ6YTrBX5hhGRpd77+Cwvu+wUkMSlAi5N56PyxnT2Bg76fwmmKHBBbrUqAsLIeqpAKq0pnwDvbzXjDbG+uQspgrzOjmLIa98VzMRbsivwTZm78MsWZy84UNESnCmTw7H1nXb0XX+6/wameqPJvxUvH8v4aeZFkwHh9YmkHqpmpol1cGPzr/ld9PyLj4ItcGhElD+XLkVW8GSXET3IpkKqhlKqgzSpA5cw0ad78IW8/FmO1SYikKltyK1OIFwCihTCxTQyxTQ2UoQtasteg89Rl6zu3ilGFZBs7BLqjSC0CJZZCqUuCxj/KlJAgo04YDYpCUGIqUbDiMoZpbRUoOAIDxe+E2T2+/rIkkKav7eHZVm5ynkjEEDj7GjQ73+UnRzigoLVIlOTHLuRkH2l0TF+6x1XWW18KEIsQwSAsT4lDtZ73o9TQjW1YWtRwBAtnSsgnxS8iUlfCKejfo7ZxQx+YrFSmpgEHKT7hkweCMdee0TiwajitpzpCmZ8KwdhOwdhP8DhtcnS3w9PfAa+wD7XKC9rgANuC3IdboITVkQVVSGaI9AAKLzp5t74zp2oZwdbVBfikKlywzF0UPfAvOlguwNZ6DzzwI2u0EJVdCmpYJ7exFEczRWPRuexssE5+2zN3Tga4PX0fO5rtG+ZsQ0M5aCO2shfAM9MLZ3gTabgXtdoEQiUBKZBAplJCkGiBJNUCkjD/63xCDR3ZBv3AFV0gkCOTecj/Mp4/AcuYY3L2dYDwekFJpIBR2fgk0lfNCAjGYju8P5AKaJN8Z4FKEs92fIH01N8JZ4F72wHjgC17tTIVnM1763+QvXE9FZFoDUgrno2DprcFzHpsRXpcFJCWBQpcZFDZFUiXK1j6A2g9/C48tspApkioxY8PDUKQMR21k/F64LH1g/F6I5SrINOkACJAiCfIWfQkSpQ5tR9/ltOM0tkOVHnhvyfVZIcKMQpcJSsxNyKtMKwgRZiixFFJ1wEzXaeoKq7mJROWfHoZ5/3l0v3J5WSnwJUnCDD+fB7t/ECbfxKjQOl31kyLM5Mj4Rclqc56d0GSedv8g7P5BXvbt6ZKChEWH6nSfjynMAECOfMaECDN8Tcw6Jji3zJVKjryCd4b7VueZpEcTmwyu1DlDpFRDXT4b6vLRpmM8YFn0fPImPP3je5/0fv4eDGuuhyI/EBCEIEkoiyugLOaf9Llv58djDg1trT0BAMi+4c4QrRMQMM+L158nHnxWM/r3fBoQMEdCENDNXQLdXH5BfUwnDqDns7cgz86HLIuflUayGNj/OaRpmdDM5Go7DWuuh3egF7YLZ3m1M9nPZrwYPzo62UMYF5RYhpJVdwEABltOoePERxyhgRJLkT1nAzJnrg2Wz56zEc37X4vYZtGKO4KCjN/jQNvR9zDYcgosM7xBJlFokbvwBqQWBb4/GZWr4DC2wdh0IlhmpFCi0GXB3F7L6UdlCGzw+912+L1OyDQGqNIL0FfPFTDl+mwMaYccA2MLiX6lkvAAACJCzMsvAgC6PbFVgInC6u+Hk46ciTlZ8Fm4A0CXJ7GhZPkwwNOpN02auJeRkaeGQ0npoBUbEtZvOBSUhlfoXz/rQ6+nKaljEQjAN/gDw9JodtYkeTSTgzBnxAftdqHznZdgrjk87rYomRzt//gr7BfH4ATNsujb+RGMB/nt9kfCWnsCLS89Ba+xb1ztDI8rPoHXePALmE4eHGtnGNi/HT2fvgkAsDdNjU2gro9eD+OfRSB7812QGvgHOJjsZ3PFQxAYaDyCi3teDtF+0D4P2o9/yBEyUgrmgIgQSCalcB50uQFNM+P34vxnf4Kx6ThHkAEAr9OCpr2vwNQ6bA6YO38TCHJYoHUYhwUPuT70+6RKLwyUG+yEvb/t0rlQCwSFfjgi4sg2BWKTcGFGK87gnal6rIndxgrfiDyJQknpeCX8s/j7J8Q/ZDQmXw+vcmJCyjsyHR86eWo5+GpNxko2zx3wHnfjhIaKvlKRkHJoRPwysHd5GibEV2SiuVLmDHvjOfR+/i68g/1jHgvjccN0fD8u/vnnsJ5PjGArUqjA+Lxo/8ez6N3+DmgXv++Yp78Hra/+37gFmSHc3e1o+uuT6Nn2NnzmsWgfWbh7OtCz7W20/v3puGv3fPIGuj/6B/wO/t8xz0Av2l77C/p3fxI852iaGpGxIkU4IyVS5N32L6AUKt5tTfazSRRpNy2Fsip000GzrAKp1y0MU2Py8XtdaDv6XtQyffX7gv8nRRLIdOE31zOrVgf/31O3By5z9Lmts+az4P8lSh20OcP+Re5LZmkAVyAZYkgz4xzsDAopUnUaRFJuHsQhfxkAcIbxpxGITMLNzPQ8k9z5GDds/tgOc4lk0NfFy+Y7UfANgjA4SeF+HbSJd1mtOB0O2pyQfjvd9ShVLopZLktaivP2A+NKohoNvjvggonZxJAu4Z8xvOsyjSx3pcwZjNeDwSN7MHhkDyT6NCgKSiHLyIZYlwqxNgWUXAFSJAYhlgBgwXg8YDxueM1GeHo74exsgb3xHO+IVHwZThzJYvDoXphPHYa6ci5UJZWQZeRApNaCFInAeL3wWUxwdbXCdv70JQ1EYkNjswwN07F9MB3bD0VeIZTFlZBn50GiTwOlUIEUS8DSNBivG7TbBe9gP7zGfri6W+FoaQTtHJ+wa645DEvtCWir5kNZVA5ZVh4ohQqUVAqWpkG7nPCaB+HuboO98RwcrY0Ay70HzvZm1P38W2O8fmbMdcPhd9jQ+MefJKStyXw2ne++hM53Xxr3NaTdsBhdf9sWcp5xeZH2wAYYPzk+7j4Sjam1BrQveh4p5yB3bhTL1HCBa34qUWg5DvmDI7Q5kXCZe+Bz2SCWBzabNJmlMLcHTBRZloHT1AVVeiGkmjSQlAgMHZibxHI1pKpLfjDGDnid5mCbyrR8WDqHBX5FSkAQYvweuKzxa/8IiQiF/34jtEvLwfhp2I5dRPv/fQraEYjKKM1OQdaXV0E1Ox8irRK+QRsGPj2J3n8eCLZR9ZdH0fPGAWgWlkC7pAyMy4uBj0+g+9U9wSkuVhlFSSZmPPUvOP/Ys3A1DwcxkBdloOKPD6L+8efgHEPkvGgkXJjRiEIdM8Nh4pFzJNFYfQMT2h8fJ14AvPKvJAMnzT8fQyJzR7hoGwa9nUiJcX/EpAzpkgL0epoT1vcQenEWFFTsfAMO2gIzz91ogfHBx+QPALyMCybv5Rmu8kqcM7ymAXhNEzs3R2K0LwTj88Jy+igspyfT34CFs70ZzvbEz4Mxe/b7YD59BObTRya87+nB5D2b8SJKUcHTGrpg9vaaIU6dvEAF0bD3tcQsw9B+sAwdNAMjRZKQMirDsDnzkMM/H7xOS1CYkapTOZ85BtqhSi8EQZCQaTPhHOy41NdwQCzHYCd8TnNwfKr0gqAwQxAk5LrAO9Bh7AzZGOBD+uZq9L11CPXfeh6SNA0Kvn0jMu9Yic6/BTTGjMsLr9GGll+9C5/JDmVVHvIfvwGupl5Yjw27feQ+shFdf/sC3a/sgaoyF3lfuw6eXjMGPz/Nq4zzYg8c5zuRdt18tP/p02CdlA1z4G7tT7ggAyRBmFGJdLzK2fwT//Jy0hYwLM0relUi4GsyY5skJ2aGZeBjPRATsXMCyMnETm4d7vqYwgwAZMvKkyLM8M4t4xLCMY+Vgqpr0XZ+e4gNskSmgc5Qjr62Y5zzGhH35RCJQV/XlEiEmwyEOWOymbzIW6MhpSLMf/ZBNPzqI1jPXF7289qFxSj76VaY9tfj4s/enuzhJAxZXipm/eVhzjnzoQY0/uTNSRpRZBiXF6JUNTxd3LlEpFWA9U5Ns2qPnac1zwhBINwvWjZCECFFElTf++u4xyKSKjjHQ8ILACj0WcPCzCV/GdrnvhRZjYXL3ANFSg7Hb0amSQ+Gmx6rv4zzQhe6/x5IVeBuG4BpVy2UlcOR2nwmO7qe3xE89nSZYLhxMRQlmRxhxnaqGQOfBgIweTqMUM3KR/oNizjCTKwyAx8eQ97XrkPn8zvAuLwgKBIpq2ei9+1DY7q2WCRUmCFA8rL3BgA7PfEvYxYsXIwtof4fkRATUsio2Ha4LFi4JiEwwRB+xgsxFXthwuda4qHX0wQ/uxIiInTXZCQGaQHEpAw+JrpqOR5IgkKmrCRmORbsZWvONBHkzrgaHRd2gh4lzFAiCQqqruUIMwRIqPkKM5epVkaYM64cRCoZWD8N2h0tf1dgGcb6Jzb0eMn3b4F+RXR/wpbffYSB7ZOX7DHZSNLUmPPSY5xzLM2AtrnhbOqF8YszMO6qDbEs9A7Y0PzrDyDSKqAsy0TKGv7Jwyca+5kWGG5fhdaGbjDugL8HKRHBcPtKOGrbJnl04aF9sZPY8oEaJYiMBYLkLp9HRh8bGQRAPeQvY+zE0BfGMdAORUoOlKn5CPzOWchTxu/877zAfTfSdjcoxfBcTcolMNy0BNolZZAYtCBIAqRSBuIoNymuu42rbHA19UK7bEZcZUx765Dz4HroV8+E8dOT0CwqBaVRwLSTX/TAeEmoMCOnVLzDqk5Wzg4XPTHCDF8TCw/tmNRdZgb8XpQSUha7UBzQrB897ovIlVdGLUeARJa0FG2uxP0ADJLCmEIUAAx42+FmHAnrV2AIAiIJ1/FRTql5a0wn2tduohDmjCuHosfWw7inHoMHIkekYzw+HL/nzxM4Ki7udiP8tvBZ1H2mK2NeZLx+2E61AAAohRTSbD00C4qgWVAE7ZIyNP3yXY5Aw7i8MO4IvKu0C4untDDT+/JOFP/yfsz469fhaugCWBby0iwQUjGavvPCZA8vLKO1/GNlZIQzxu8JRhiLB/conxaXtQ+M3wNSJA2aixGUKOjUb+9vCZa1D7QivXwpKIkMcq0BLksvJ3CAc4zCzJBQGomCb30Jsvx0tD/1EZwN3WC8flQ89S8h5QjRqHcxERC44inD+mkYPzuFtOvmw/jpSaRcPRu2E03wDSYncE1ChRkJyV/adU1CJB4AcNMTMwnLee5KyigVrjU8muTRjB8qCSmJOtz1MYUZIGASlkhhJkfO18RMcPyPF4qSQGcYvr/6zEqw9AiTBZKEIW8BXHbui0BGcoWbaCRSq0uCwgrRJpylD8HERrabLiJnIpcshYSQwcM6cdD/CWgk1hRDmDOuEAgCuvkFMO6Z2vNL58t7YNp3ZZvZ+m0uNPzojeETBJC6ZiYK/+1LSLmqEqY952A6MD21955OIxq/8QxSrl0AWXEmCIKA6YsaGD85Dl8/f9+46YjfMxyl0Od2oH57AjYNWBbOwS6oDEWQawMR1BS6zKDvjr1/2Fze0T8cJlyZlgeXpRdyXUCbQ3vdcFuTs2GnWVSKrud2wF4bEJYIMQVJpj6knCyPayUhL86Ap3Mw7jL9H5+A4bblUM3Mg3ZxGVp/+34iLiMsCX3bSEl57EKX8CbQbCgefGxi1JSxkMaxOJsOJMPPyOzrgYM2x9SUacUGqER62P38IylFQkLKeUWM8jEe9Hlbxt3flQZBUkjNmQ2dIRApbkb1XaNKsHDZjWg88Q/OWRnF7/dCsz74mMT9hofsqZkoySf1hAGl1BycoffDypoggSxEkBFDAgbMuAQcYc6Y2mTdvBBZNy6E1KCBp9eCzjeOoPfj4ZDQ8597EJ2vH4KuuhgpS0tAu3zo+eAk2v++P7hhOeu3X4ayxABKLkHFj24O1u149SDaXtgbPF789jcgUsoAAqh74i2YDofmZIs1nnl/fQBdbxyBdl4BUlaUgfXRMB1rRtP/bg9GNxKIExYw7qyFqioX6ZsWQLukbNoKMwDgG7Sh99Xdkz2MCcfrGF5LSBRaEJSIu+k2RhzGdqgMRZAodSBFUij0Q37BLEf747L0gfa6QUlkUKTmARePQa4N5NVzDHYg0ZERh/B2m6BeUATz/vMgFRJk3b0ahCjUmko9twjpNyyC9VQzVJW50F9VhfanP4m7jG/ACsvhC8h5eAMYrw+WQ8n7rSRUmBHzNCvws94JzVzN7XtiJvF4dpqnA5EST42XTlc9ylWxs0pny8pxwT7+pHjZsjJeppDdngYw7MTaql8O+H0uXDj2GkAQWHrDT3Hss5+DoYdV3yzLhjUVkPLU6iY6twwNGnv90XeLtEQqnKwNPUzgZeREqInsDGoh+th29DFjzw0gzBlTl8zNC5B/70o0/fFz2Ou7oarMQvFjG0BQJHo+OBksV/TV9Wh5ZifaX9wH9cwcFH9jIzy9FvRtC2iW6/7zDRASERa/+XVc+PkHQSGF8XF/E0dueQqUTIwl739zfON5bAO63zqKM994GZJ0Dcq+cwPyvrwMLX/dleA7FEA1Kw+GGxZCVZULsU4BxuOHb9AOW207ev55EJ4eM6c8SzOQZuuRe98aqOcWgFJI4R2wwnzwAjr/vheMK7zZjDRDi6w7VkCzoAhivRJ+uxu2023ofm0/XK1jz13EF8eFbqRvCvjWjIdYgRAyb1+G3PvXoPPlPeh+bX/I59IsPTJuXgzN/EJIUtVgaQa+QTvs5zsxuKsW1pMt4xrf5Yqtd3hzgCApqA3FsHaPf6HtGJEbRq5ND4Zadlv74feMtApi4TC2QZNVDmVqHgiSgkSlv9RG8oJ9tP7+Q+Q9dh1mPvc1+MwO9L19CP7B0PdZ33tHoJyVj+wH1oHx+ND75kEYP6+JuwwADHxwDKU/vwsDn5wAk8TAEgkVZviaFfiZ6HZ9ycTPRHO4TBwiMrZPxnSCbyLUeOl0X0CZanHM9rNl5WiwHxm3r0A2zyhmHUIUs/HBsnBYusDS/mC8/WhQPHyYgEBY5olGTEjhR+R5gwCBVDITffT4XkLCnDF1ybtrGTr/eRj9X9QCAFwdg5Bl6pB313KO8GA+0RLUjrg6BqGZnYfMzQuCwgzt9oFkAnMY4/WDjrBYBwCWiTzX8R2Po6EHbS8Gkgg6W40Y2HkO6pn8wn/HS/Zdq5B918pAXxd7Ya9tB6WUQlGSibT1s9H5wq6QOmKdEpW/uw8szcB2uhWkTAz1zDxk3LwYiuIM1H/v1ZA6yooclP90KyilFI76LthrOyBOU0O/sgL6ZeW4+PN3YD4c2RcpEVDqgBUK7Zy8tYwsLxWVv78flEwM+/kuOBt6IFLLIMtPQ9qGOaBtrjELM2V/eBgNjz+T2AFPITz2QTgHO6BICUT6yqxanSBhZvgdIFGlBJ36w4WUtve3QpNVDoU+CzJ1WnDzxzkwtvdI3VdDn1f3K3vQ/cqe4LHzQhfqv/G3mG2xHh9afhE9yiCfMgCCc9zISGjJIKHCDF+zgmgmHclmojRCpGAvzgsP48CAtz1mwkQZqUSKJBvGcSQLVIlSeIW+tfmNsE5C6PDLjTN7/sS7LMVz7qB5asuKyZnIIUsgIeQgL2ni/PDihH8XLGzAHnmN+FaIERAgTvn3oJ/lfrcWiNZCS6RChEC4zA3iOwEA3UwLztIHAQDVovVQE3pQEGEutQq4dBnNTC0a6fgmb2HOmJqItQqI9UrY67n5puz13RDfswKSVBW8xoAPqKuNa+vuaOpD6gp+yXmTMZ7RZfw2Nyhl7Eh08aJbUobsu1aCtrvR+JM3YTs7YkFGEJAXpMFvDd2IUM/Jh/lQA5p+8W5w11aaoUXVH/8F6rkFUFbkwHF++HdJSkQo+c+bQSmkuPjzdzg+PcoZ2Zjx8ztR9B+bUfvIM/AOJCnIEAHolwU2xeznJi9Le/p180HJJWj702fo+5Cb9FFRnAGfZez+wdJ8fvkCpzNdpz9H6Zr7AQDanApkzVqH7rM7ole6hEimgt8d6vfttvaD9nlAiaWQqVKh0F0SZkY4/w/hGAj4zZAiCdRZw3NEMjUzvCF4bETxKQNAv2Ym3G0DnN9xMpgUYWayTMwA/pF4xgvfxZlAwNSMT/b3HNmMcQkzvHPLuKe2Y+7lCP+NkNhaniyyEPlUBY76t8PJ2pBDlmIGNR/7fB/Ch2Ez012+t0BBhHXi28K2U+PfA4BACTUbKUQGjvo/B8Cdv074d4EEhTXiW3CGPoB+pjOkDF+EOWNqQkovvSZHv7svvcwZz7DWjqC4pnUExpT7LmHjiab5iUXJf94c9jzj9uHELdy8HJm3BkyF2/+2gyvIAADLwtUS3vSLpRm0PPUxx/zE02vB4J46pF83D8qyTM4iKGV1FSRpapj2ng8JTuCo70LPO0eQ/eWVMGxehI7ndvK+Vj6QUjHk+WnIuLkaqpm58JkcGNgWalYzURBDz9sXuqZxNoUm1VXOzAfrp+GsD9xPdXV4IZugyJDv8eWIqe0MjM0nkFq0AACQu2ATVOmF6K3bA1t/C8eHRiSRQ6bLhCazFLrcmfB7HLjwxV9DG2VZOAc7oc4ohjqzFJQk4HoRXjMz7EOjy60CEAhM4LFPTg6xRELKxBDrlJAXZSDtugVo+/2HSe9zUrYC2UTP7lOw78vJXjzZ9Hmb4WPcMX2uMqTFoIg9oNn47S4JEMiSxd4hZcEIuWUSRH7VNTD11MM22BKzLN+Q7nx+vloiDVZ2EA42kIulh2lBJbUIKkIDE8tdVEUzW6QvbXywYMCCDevcT8MfbIMBPa4AAMKcMTXx9FvhMzuhmpEF8/GW4HnVjCx4+m3w24cFZHk+N8KPsiQD7lERfliGAdhQwScZ4xkPkUIzjxSWgIC2RFmRA7AsBvfUxdWH82Iv/OZQPzjvpWhao7VI6tmBTS/L8aaw7VmOXkT2l1dCM68wrnFEQpKqxqKPvxdy3tNtwsWfvT2pgRSMu8/BsHkhCr52DZSlmej7+CRczZEjMuZ98yYAwPkHnwIAFD5xx0QMc0rTcuCfEEkU0OZUAAB0eTOhy5sJlmUCEc8YBpREClLE/R5auiJveDqM7VBnFEObE8i54ve64LKEPhe/xwGPzQipOhXa7PJg3csBRUkmSn58BxivH73/PADT7tqk95lQYYavwzR5Bby0Bedx/jAsgy5PIwrks6KWowgRMqXF6ByDsJEiyeHlYN3naZ20SHuXG9klq2Du42e7nsi5w8FakEHmQ0Yo4GadSCdzwIAOCjdTFWHOmKKwgWhj+fevgqfXGnC4r8hC9q2L0PynLzhFtfMLkLl5ASwnWqCemYPUNRVoemobtzk/A3eXCenrZ8LZ3A+WZcG4fPCOyr8wJOyECD1xjGc88A3NLNIqQIhI+EyOiA77kYiUcyLoLzTKlEWcGnC49/aH/y17BwLnJemauMYRiZF5ZhgfDd+ADbbadpgPXQDrnzwLEwBwnO9Ew3+9gbxH1yN90wKkb1oA58Ve9H14HMYvzoYkW73w1T9x7ycL1G79RYhvFkGRmPmP70zEJUw6DO3DhR3PInv2emTOXAtKHBBaCIKEWBYhVD7Lwm0J1XwN4QwGAQjc60AY5vCbZvb+VkjVqcGyTuPkmS0Oce6R2GGqY5Wx17ajZsuTiRoSLxIrzPA04eK7C5sMJsopleGpPRjwtqPZOXmqar6wbHIn7k7X+ZjCDABky2aMSZjha2LW4RYc/xMHC5+HXz4pvr8XPuZoHUwjdEQ6Voo2ww8v3KwTp/x74cXUDkcrzBlTl+53j4OlGeTdsyIQCrnPgta/7UHfZ2e45d4+Bs3sXBQ+tBq024+ufx5G37YzIe01/PpjFD+2AXP/fD/8Vjfant+Dvu2BIAH5969C9q3VQXOyih/dDNbPwNk2gJpHX4hrPBMBQV56p47B6oGlx/gdifAaT/T7PSTPzAQTS3tnOXYRloeaoFtSirSNc6GtLkHh49cj85YlaPjRG/B0D4cgHh1Jina4wbhDA5uwYcpe1rAsuk5vR1/9fqQWL4QmqwxyXRbEMhUISgTG54HXaYHL3ANbbxPMHec4oZ1HM1q7Es5fJvjZQCtSixdErCvAn0nRzFCEOJHdxgVFTIxlHV9HZT/rg9E7fmm8bMtMVN07F+9tDo3+MhpKKsL1r9+GQz/ehf5T3ZzPxEoJNr97J8SqgGP0F49+gP6anrjLxIvVPwCb3wi1KDVquRRJNmSUCu44kq5ShBgZ0uKY5TyMEwMeYTJJFMbOM9Cll8Fli2z6MATNcyNETPAL/64hUnDcvyNqIsxEMWRmNt6F1ETPGVc63R/9A90f/SN2wUv0fHCSEyksHIzXjws/i50YzlbbiZr/90LYz9pe2MvJOTPW8Zx66LmQc+0v70f7y6EhfseDz+wEy7AQ6ZQgpeIQM7REMmR+JkkLr3kRp0XX3Ew1guJfBGdqsY5HuHaWhflQA8yHGiBJUyPv4fXQr6xAwdevxYX/fC1itXNfjrxzPvDuodj9TgBepwVHX/q3uOsdeyV+zZLf40Rv3V701sX+7UXDbe3nPea+8/vQd37fuPoTCJBQFYmPp3mOmEx8NBW+TJQg5WX5hZAVTYZgd2neZPyhiyefw4u3NryID26OPAnyKTMW+GhFCBDIlsYXHShTWsxLiO1yX5jU4BSXG21125CeNx8FVdciJbMKOkMZ528kfOcOPol5ZYQSCkIND2L/BocinRE8I7OEgwUDJ2tDFlEEBaGGglBDCv4JhIeY0nOGgEAEGI8PzoZuECQB/YoZSe1rKNSwtrok7Oe6xaWBcjWtYT+fajDOgLZYkh4+X416VuwEzyPxDtjQ9Mv3wLh9UM+Mr+5Iev+e2OAJAgLJJqFqCr45IAgQEBNS+CYogeVIJkqQ4qs5mIxEebTbH1MQiZbjIJ4y8dDtbkCFallMM8Qc+Qw0OaPvkI4km4fjPyBEMUs0i679PgBAnVIQ9vP973w7+H83wy+MqJiUgSSoqFpgL+uGnbVghegGAAHNiYu1o4GpQR8T0LyVUnNQQFaAvBRLeS61CizFwM5accj/ScS2I1FLH0YFtRDLRNfBx3rRyNSgi2mOq42pPGcICESj9+0jKP7eTch76Gq4O4xwXOBq/GW5qfCZHKAd4/NHNO0/D3fnKuiXz0DKVZWcgAPKGdkw3FQNxuND/4fHx9XPROFq6Qfro6EszYJmXiGsl/xzQABZty2DvMgQsa5+xQzY6zpD/I4UZVkgZeKQBKUCApczCRVmPHEktJNRKvj8Ey/MSHjs7CYCF8NzYUJFcDK7AvEybvR5WpEhLYpaTknpoBWlw+KPnelZQsqRIomdJM7s64PdH9kOViB+Dn/4Q95l+S7kCRBQUjrY/Mawn5MgsVi0AQNsJ2rovWBAgwCJTCIfs6ll2Ml0ggGDRvo07zwwDXQNgOg+Kma2H4f8n/JqLxLCnCEwlci55ypk3FQd9rPu1w/Acmw4i/rg3jooK7KRcfNiVP7ufjgudMHTbQallEKarYcsJwXnHnsOzqbxCTOsn8HFn72NGT//Moq/exMyblkCT9cgxCkqqGblAwyL5iffh6fXMq5+xop+VQVEKhkopQyK4oAgIstLRdYdy0E7PKAdHjjqu4IR7miXF73vHUXmlqUo++87YDvdCtrhgaLIAEmmDgPbapC2cW7YvrLuXAlFUTpcrQPw9llAu7yQGDRQVeQALND50p6w9YbIuHst+l7fExIoQKRXQT2/BKYdU98vT0BgiIQKM26eL2MAkFPqiAuSZCIlFRPSj9PPbzIVERJISQU8TGh4ypGU3zYTZVtmQpmlgs/hg7nBiOO/OQBrqzl8uwox1vzuOtBeGnv/4zP4XQGHvlu23QuJSgoQwJ5//wxd+9vC1p8sOtznYwozAJAtL4fFFluYyZAW8fJl6BQc/xOO38d/c8NF809wpxLpI84dKkIHFaHDEf92TpjkAXShFHMhJqTw8DTnmmgSPWcITCwnH3h2soeQUGR5kf0XxfpQ7WD7X7+A5UQzDJsWQFmRDUVJJhi3F16jDb3vHIGnLzEChqulH7Vf/xuytq6AbkkpFMUZoO1umPfXo/uNg3A2js9/czwUf+em4YAIl5DlpCDn3tXB444XdqHnnweHj5/fBZ/JgbSNc6GelQfGR8N5oRstv/8Ifrs7ojDT88ZBpK6fDUWhAbLcVIAA/FYXzIca0PvuUdjORH+3G25fif4394cIM5Rcgox71grCjMC0IqHCDM364abtvHYOVZQefWhJZPe8UFK6CenHQZvhZ3287Ns1ojT0eyNPPIb5WZj39SXY/5+fw9JsgkyvgGFRNpz9XNOcoWAyYqUEq393LbxWD/b/5+egvcOT1dsbX4JILsKWHV8Z24UlmQFPGzyMM6bQmSUtxXnbwZg+LpnS8LbVI2FYGt3uxrjGKZBYfKyH99yhF2dGfF4u1gEGNPLJcnQygVwUSkKDUmoOrOzglBVkgMTOGQICY+Xiz94ec13r8SZYI+SAGYnleBOOXf8/ET/v+edBzoJ/ND6jHW1/+gxtf/psTOOMhXfAFnV8kTh+wy/i74xl0fvOEfS+cyTsx5HGMbj7HAZ3n4u/v1gQBETqibFgEYhNiWElSjPXRPz8cOPzMDvHnkz8ciHhob3stInXgiRW1KpkQBLUhJpoWP39SBFnxyynF2dGXZiIFGKwLOAyumDvtMHeacPA2dA457TbD7FSgjW/vw7OPjsO/tdOMGFi4bP05CUtjQULFl3uCyhSzItaTkLKkSrJwYA3cvSxgIlZ7Pvf62mCnx17pmyByOgzKqDU5YCiQhforee4ZllW/wCv32e035QPHpzy70EJNRuFVBUoUHCzLhjZblykJz5sbbwkas4QEBAQGA0pE0M1bziyp6a6DIxvWINNUCR0a+fA0zEwGcMTEBgzCRdmbH4j0iSxo2joxBmJ7jomGlHqhOWZAQCzt4fXwiRNmocLjvC7MgDQfbAdTR/UY8NfN8NY14/mDy6g5dMGjsYFABg/g1W/3ABFpgpffPWDsILMdKDTXR9TmAECjv3RhBm+JmYdguN/UsgtX4f8qmvgtPZAocmE09INmTIVBEmhpyU09KfF3w+DtDBmuypRChSUFk46vNmKke2B0T95pibjIVFzhoBAMlBADR2RBiXUkEMFOaGEGFJQoEBBBAIkaPhBww8//HCzdjhhhxM2mFkj7DAHQ5lPFIaV16P/4Gdg6VG+IUoNVIUzYK49OqHjiQQBAmrooSZ0UEELJbSQEjKIIAYFESiIwIAO3l8vPHAF768dVnYQTkQ31yVEFLTLK4MCTd63b+EWYAFP9yA6/hA7vLjAxNAycAQ9ljpIRAqIKQUkIgVmZG+AiJRM9tCmFAkXZky+HsT2eAj4zCgoDZz0xMWD14omVoDq87aiWLkgZjmNKB1ySh3Rb4BlWBz/9X7UvXwKRZtmYNaDC1B5z1x8/sj7cA8Om81oCnVoONoJdYEO8x5bghO/i6ymn8rY/SaYfX3QiSNHcgEAg7QoamSrTB65Zdy0HYNeQUWbDDKKlqDxxBvoazuGJZt+jFM7fw+SFKFs0R1wOwZDyg9421GmDO9wPJpsWSkaHdMjYlE8JGrOmK4ooMZy8rqY5XrYNpxlE58LYyaxBFlE+Oh74TjJ7oGRTazgTILEWvKWmFEd29gLuMCeSmjf4caSSmQhE/nQEwZIEDsaqAhiiCCGFICSUCNog0EAfvhgYvvQgzb0s128E22Ph/Sl6zFw+IsQYYaUSGFYdX1MYYYAgavJ26KWYcFiB/PmmAS1VCITGchDGpEd8/4OCTUAIIcKWmKEhQsR0Eyb2QGY0I9+thMucE3Rabsb7b99FyAIzPzHf+D8vzzFzQtEM2NPZDqFSSEyMI9YGYxeyQcafpxi9sKE2L65yYRmvHB4jHB4hv1EyzLXAIIwwyGheWaAgDDDl3RJfqK7j0qadOxx18eCxdfHO1x1rqwiZhlnrwO1z53AR1v/CVJCofA6bshht9GJE78/iL3/sQ0lmytQenPlmMY9FeDjkC8ixBG/Q2JSysvErNNdP+E7hVcKEpkGVmMLAIBlWZCUGAzjR9u5z5BTtjqkfFy/F3kVSCLh09ekk+g5Y7rhhA1+xE66qCZ0SelfR6TFVV6LxJtLK6GNKcgAgAWhGwKJQgYFZhALcBV5I+YSK5BB5PESZGIhghjpRA5mE8twFbkZM4gFkGFigvKEHY8sMWHOCRBx5ZYiQCCTyMdS8hrMJ65CNlGUkPsrhhTpRA7KiXlYQW7CEnIDiojKYD6tICwLV1MvWJ8frHfE32UoyKQSmXELMj54cZzZNemCjAB/Er4a8DFuWP387C2zeOb/SAQUIeZlvpFIWLDo8VyMXRBAnnxmxISeeWuLUHzDDOjLUqHKUSNrWT6kGils7eHNbAbr+nHoJ7uw4JvLkVEdGpaYEAUeO0lFfvxDZQgqspkWnzJjpdvdCJr1xyyXKS0Ne94gKeK1IBByyyQPv8cBiSyQDM7jNEGlywUA0H4PxNLwvjF9Hn7J7mSkEjmy5CbomwwSNWdMZ6xs7BDpCqjjWpzwQQIZ5IhvcZsMYYavoGZlEy/MSCFHFbEYK8hNyCNKIULyvl8iiJFHlGI5eT0qiIUJWcwPQYolUJfOhrp0NgBAXVIVPFaXzoamfC4y12yGZzDU93Ss8BVmtEjFEnIjZhFLoYI2Yf2HQw09colSMGEC5TR99wUw7tgbB9OZVCITc4kVcc0VXnhwnNkFaxI3CwQST8LNzACg19MMjSj2DpdOnAGNKI238DMesqQlvLLAJ5o2Vy3y5bNilpOQMhQq5uBiGNMZxkej/PaZUOVoQIhIOLptqPnzUXTuibzwa9/ZDFXecaz4+Xp8/uB7sLaaMeeRRZhx52xQ0sB9WPnLDWD8DKzNJnx6byCCzcJ/W47izRWgJIEf/7qnbwDjZzBwphc7vvoh7zLjxc960edpjinwGqT5YU3NMmWxjR0HfV0TauZ4pWEZuIiUrCpYjc0Y7DmH0vlb0N18ADrDDDit4RcRHe7zyJXz0ziUKRejx900Kcl3k0ki5ozpjA2DSEF0E1MCBJTQwIbE5YaKVysDIGDmk2DFrhq6mGV88MIF/qkQYkGAQC5RilJidtCMaaIgQSKXKEEGkYcL7El0s/w2NKJBUBS0M+ZAWVAOAMi94Z5RJVh4TQPo/PT1cfc1hIxQwMJGTzdRRFShmJg5ob67A2x37EKXIWlEFuYQK0K1UlHwwIXjzK6YvkcCU48kCTNNvG3fixTzUGP9PBnD4JCviL04SAZ2vwmD3k5eiRtLFAvQ474IB23mnO/c14bOfdEjFzW8WYuGN2s55+peOoW6l04Fj0//5RhO/+VY1HaO/+YAjv/mwLjLJIIOd31MYYYixEiT5KHP0xI8JyLESBXnxmy/0yXklkkm7ee3g76UGLercQ+U2iwUztwEt2MQDSf+EbaO2dcDu38QKlFKzPYlpBwV6uU4Y92Z0HFPNomYM6YzfM2n1IQONh5aHL7oEL8wI4IYSmjgQOI2RfhoZhKplZFAhtnkMuiRnrA2x4IYEswklsCAXNSyR3iZG0aCdrvQ8dErAEGg8hs/x4Vn/huMb8SmB8OCZRLrrxNNM0OBClwbEfu9lGgG0BX2vDQ3DT6jFYwrEMlTpFNCt3YOvF2DsB6e3hYL6UQ2ZhPL4xJkXHDgBLMrxM9IYHqQFGEm4MDdyytiWZasFK2uMzD7EqfuHU2GtJiXpihZNDqOYzGPhQlJUJin3YhDpndAs5e3+pcPRm8HXLQNckodtVyGtJAjzKRf0tZEw8/60OOJnQ9BYOy47MMaV9rvwfnDL/Gq1+w8jdmaNbzK5shmwOLrQ5urNnbhacSVPGfYWBP4bFwn2kRnLJoZIKCdcbCJE2ZUPDQz1gRppDRIwVxyRVz+HskmnchBNXE1aph9cI5X+8SycPd1gfX7wPpjmy2Ph0j3kIII88lV0E2CsMiAxiAbfm2V/ci1cJxpQd8/94GQiFDyy/tBiEWg1HL0vrQDAx9Mz2iJQz5Z8QgyDthwgtkFD8aWhyxdU4YFhVsBACdaXke/tREkQSE3ZT4ydVVQSlMhomTw+h0wOzrQaarBgI2fOXGykEv0yNCWQ68sgFpmgESkBElQ8DNeuH0WWJzd6DHXwmhvjthGbsp8zMzdBACwunpwsIF/4uCVM/4flNKAme6Z9vfRZTo9rutJmgdtq+ss77Kz1KuTZgImIiSoVK9IStt8GfR1oZ+nL4BalIL52o2TYhI3Fel0X4hZJl3CjT5kkMSOYtbjvsjLJ0dgfCi12UjNmoW03Hkhf5HoctfHpWmoVK9Ejqx8/IOdQlzJc4YLDvgQ23SQjzkWXyhQUEM/prqJ9JuRQ8XLTyUR9vwpRAYWkWunlCAzhBIaVJPrx/xMRtL82v+C8SU/j1i4QAYkqEkTZADAxPaBjhAxTlaUAfvpFgCAfs1sEBIxLnz1T+j4/ftIuW7hBI4ycRiIXMyJU5CxwYzjzI4xCzKjUUrTIJdosbT0AVTmXAu9Mj8oKMjEGmTqqrCw6E7Myb8JxCQEsZFLdFhU/GVcVfE1zMjaAIOmHHKJDhQpBkGQEFMyqGUZyE2Zh0XFd2FB4VZQZPh3S7f5LPy0GwCgkWdCq+Dnl65VZAcFGT/tQa+lbtzXlbQ72eO+CDfNb1dFJUrBLPWahI+BAIl52g2QkYmJWDIeztsPRgwhPJo0SR4W6TZBQk7OS4YiRMiVV6BYMX9S+h8Jn6hmElIO7aUwzgRIpPOIWsenXYHxMaP6bsxd+ziK5mxGfuXGkL9IsGBxwX6Ydz8ECMzSrEWpctGE2qKP7D8ZXMlzBp8gAKoERjTTEGPPQaYjEifMTJTz/1hC1U40YkiwgFwNTQIEmiFEKg0oaXJ+I1KC2y4BArOJpZMmyABAPyL7y1ByKfzmgEmVfv08DH56HIzbB9fFbkgMugkaYeIwELmYTSzjFfhnCAuMOMHsgpfH5glfdIpczC/cCrU8A37ag35rIzoGT6LHfA4e3/CaOEs3C3PybkpYv3zx+h3QyLOCxzTjg9nZgS7TGXQMnkC/tQF+Zlj4T9eUoTInfLh8mvGh0zScjDo3hd/8n62fHfx/t7kWNDN+q4KkbeWxYNDgOILZmnW8ymfJSsHAj7PWPWDDRN6IF4oQYa5mPa8EnhOBgzaj3nEIlSp+WiK9OAsrU27HOdveCTGHIkAiVZKDLFkpMqRFEBESdLsnVw0KAC7ahkFvV8wwy6mSXFh8fUiRZENERI+/7qQtcYUQFxgb+swKnNnzf7ANtsRdt9fTjB7PRWRKS3iVJ0CgVLkIKZIc1Nn2wuZPbiQaAgRSJNnIlJbAIC3EzgF+JnTxcCXPGVYMIhWZUcuIIYEU8oTsqI7FX2YIJbQQQTwuH48h+GgiPHCP65rV0I9bkLHDDBM7AAescMEOH+sFjYCmm4IIIkIMOZTBJJsa6ONaZA4REGjW4Ajz+bicslPmrUD6so0QKQMmyz6bGf0HPoPpDP9Nk1iM1nCVELORTsQ2FR2NFx644YSXdV9KkklDBFEgfw8hgQIq3kEaBtjw/jIA4O0zQ5afDkolg7wsG22/egsAQCqk0y5EcwaRh1nE0rg2JEzoxylmb/B7m7CxaAMBbNqNJ1Df/TnoEYIBQRAoMVyFkoxVAIBMXRV6LOfQa5m4zVWa8aGl/zA08gx0DtbAaG8O2TQTUVLMzrsRBk3A4iFbPweNPbvh9oWa07Ybj6EgLeAjn6Wbifqu7RxhaDQEQSJTOzN43Gk6lYCrSqIwAwBd7gYUKObw9lfJkVVAQelwxrpjXFGm9OJMzNKsgZLSjbmNZNDqPIN0ST5vAUtCyjFPuxEmXw9anDXo87QkNCeKnFIjRZyNdGk+UiW5EBOJC42ZSDrd52MLM+IcNOEEDNLYCe86BMf/CaHzwi4Y8heAob3weR0Ay31Bet3RFye1tr3Qi7MgJfnnoUgRZ2F5ym3ocV9Ei+s0LL6+MY09HHJKDb04CynibBikhZCQMgBIap6iK3XO4GtGpSZ08LCTK8wAgIZIieibEA98TOfGo5WRQIq5ZHyhaodwwY4O9iJ62FZ44I5emOX+XwQxDEQucojiuM3yRBBjHrkSR5jPxyQw6ucsRcZVN8B4bBecPW0gQECelY/MtTeBEIkxeHJf3G2GY6Qwk07koJDgF5XRDjP62S6YMQArOwgfopjEXbqvcqigJrTQIg2pRGZY/zE7LHDDGbEp40dHkf+dLQDLYvCzE/j/7J13nBvV9befUe+r7b24944LLtiA6YEAgVCSkISEhBRSyS9503tCGoQkhDQCCYReEqrBFfe+7t3e3nfVuzTz/iF77fXuSiOttMXWw2c/eGfu3LnSSnfuueec7wl1RNdc+tFFBFtSJ6yRboqECqYI8xMyZDqlZvZIm9JWtLXLXcPBxrd6HZckieOt6zBosym2RkWpRuUvHFRjBuBkW+zPfDgSYG/dqyyd9CXUSn10885USdM5XpgzeAKddLlryDFVoVRoKM6eRn1n/wqb+eaxaFTRZ7rb347D27/BnQhpNWYkJPY713JpTvxqxmfIVhexOOcO6v2HqPPulx07rxCU5GsqqNBPIVfTv2JIWAqiFNRDEo4CUO14jwXZN8tSazpDtrqI7KwiAqKXtkAtncEGnOF22QafWtCiV5rRKy2YVbmYVTlY1YUJLRKHkpbASSZJS1DFqKlhVRdGQ8ziFGKVkGiSkYeTYeCEw35KKy6naNSlfZ7f+Oo3Yl4fEv1UO95lrvXGuIIO5yIgUKwbS7FuLN6Ik7bAKWyhFhyhNvxifKUahaDEoMzCqMzCoMzCrMolR12MTtl3bZx0czHOGU6pS7YIQEeMUBo5CAg9K6mfR1SpTMBI/0IkVnLpIgXGjBwlswHky0wTLk24SGWIIMelvTRJp5I2jMOEaJJO0SSdIk8oZrwwE0OM9/N8DJiZJlzKbun9hO+dN/dymle9jP3AWSVP18mDBG0d5C+8OmXGjAIFGnQoUDBZiK3mKhKhWaqhTjqOh77rxcXChxuf5KaNRo5Je9CiJ08ooUSoJOu0YR5Pkrnzje34a9pQ6DS4dh4/OzZvgNZn1iY8pqGgWKhksjAvofVcm9TAfmlLn7V3UkVNR2yP34nW9d3GTDR/JAdPYHjVtYmIIdqdx7tDwnRqS79t6zt3kmOqAqKhZrGMmZLs6d3/bujanZrBkmZjBsAZ7uC4ZwfjjPNkX6MQlFTqp1KpnxqVKQ014Qnb8IteIlIIAQGloEKjMGBQmrGo8slSF8RNgI1IYbbaXmO6ZTnmBBYGqSQsBdnheIsF2bcknMujVRgo10+iXD8JAFGK4BfdBEUfESmMiIgCBYKgQCmo0Qg61ApdTCNgJBCRwrT4T8SsP6IUVORryzEoYyscdQYbZC1ohxIBAZWgQaXQRP9/+t9qoefvKuH0MYUG1enFpxxKdOOxqgsJSyFCYpCwdM5PH7+Hzvldbg4HQOWU62g4vJL2+t2IkeRCcGyhFvY6VzMz66qkrjcoLVQZZlDFDCD6WfKLHkKij4gUQSSCUlCjOv2jFNRoFPoh2+zoi4txzjgTShUvOT0VIgBnwsT6wya1AQJGof/vVypEANRoZSXjJ2vMlAtjyRZi1+85H5vUxn5pa8qSoyG6yO6S2hgvzKRMkBdGCtECiGWMpUE6Hr/xOaizcvA19y5t4GupQ21JXT4OgA49Y4RpqOk/1LlNauCYtCelEsABfDRKJ2iUTmDARLEwinapIe51nv29RUYcmwaejD0YFAtVTBbmJjRXN0u1HJS2pdWbDmBzxxZv8QQ68QZtGDTRz1+WoXTYGTNAj7AylaJ/L3yr8wiBsButyoRFX4RFX4zT19uYVil15Fui5TZEKUKzXb5QWDwGRf7mpGc3FlU+hdr4hQzPx6TKxqRKzYRz0LUBV7gLV7hzyIwZAH/EzVbba8y1fiDu4jsWZ3aQB9LHSKFRRjHFCaa+PQDnMtxCzEyqbKaal51nvKR3IalR6JNOFJcQexhAjlA7B1zr+mzb2biPoN9JwGcfwGihJXCCfU41Uy1LB2xkKAUVRmUWjLDvzMU4ZzglG/lC7M+pSbAOuGhlvAT+szLI/S+8LSkonpnO5H8dBsYK0+M3PIdWqZ4D0ta07GCLRDgs7cSHm3HCDNnXjROm0yE1xQyfOp+Q046+qJxAV8+QU31ROSGnXXY/cpiquBQDfXtwI4Q5LO1MSVHQWHhxc0LqHQ50IVEijGKSkJjgS4N0gsNS+gsMB0KumDkjZ3D727uNGZN2aGs89Yd07uZljLdakkQauqoZU7AYgPLc2RxoeLNXu2Lr5O4oi3bnUYJh+d/jeAyKMSMhsde5irnWm7CqE9sZShUnPLu6Faxc4U4gdjHGdOOLuNhie4051uvJUg3PD/JwwhZqwRNxRBei/RAvRyokBWgL1qR2YANEJWhk1WMaLggo0Ch0aNCdPtL/Ck6p0jBm1m2Mnn4zoZAXpJ5td777S9n3bfQfJiT5mWFZfsFIECfKxTZnOOkin9i5cgbMKFAOKPY9Xr6MS7JHRWliPMzVaDBixjOAJHU5yf9R2erEZYbHCtNlJ40DdEot7Je2pH0Hu1Y6ggIlYwR5Ra2VqJggzGaPJD80rGvXeoqu/BBqcza+ljoQBPRFFeTNu5zW999Iduh90p8hEyLAbvH9lNUHupgpFUYzSbgkoWtqpSMck/akaUQ9CUXi5JOd5tyFvEqpi9EyfWQZSsk1jcKsK0CnyUKt1KNSalAKKhQKFYoEnrUNnbsYnb8IQRD6FQLoGWJWnaqXAQySMQPR8I4d9jeYbb2WHLU8LepUUePdyzHP2QJQUWNm6AmKPrbaXmOC6VIq9fIm84uZRt9hxpvmJ319s/9YQmFSGQZGe0M17Q3VKeuvLVDDFtsrzLAsTyh/5ELiYpoz5IRTCQgYseAawCLRKvRvGIqIuHEAEhHCMQ2CaPHMgRgz1rhtkvHKGLFQKMhX9fThZq+0Ke2GzBlOSQcxkSV7jPlCCVlSLg7kPcc7d72PJInkX3oVKkM0VDDsddO24W26qjclPW65hAmxQ1ybVG5Mhp6UCWOYKCRWA+ekdJCTUurCmeIh93sjnlPkWKWMrcCaagqzJjK+6AoM2tQ9R/0hJ+2uYxRYxp8WAphKfeeu7vN6TTZWQ1l3205XahU3B3WLMywF2WF/k6nmZZTo0u8ZkRA57NpMra+ny3W4GDMQjRs85NpAR6CeyebFsvMeBoNUSGSnkib/UcaZEkv2O5cG35EUjyhDLDobB1bRty9c4S42215hnHEelYapScm9jnQuljnDKdlkiQCYBSsuGXVp+kKLPmZCvAdH92tyYYtZMySLPJqoSWocAGYhvmcmmXyZ0cKUhObMg+L2lMvVxuOwtJNsIf8cj29sxgjT2CWtld1/1+4NdO3egMpgQlCpT4eXpd9Yk5DYK23KGDIMfG4oE8YyUZid0DXHpD3USoP73JcbOaA8J5w8HEl/UdczjC5YxLiiy7t/D0V8dLhO4PS14A86CEX8RMQgETFEZd48SnNmyu67vnNnt5xzWc7sHsZM6Tm1ZRpte1O+WTLo8RqiFGGvcxWdwXommRfHrQmSLN6Ig/3OtXSFeichBUQvQdE3ZAXm+qI9WMv6rgaqDDMYbZiZtvdFDo5wO3XeAzQHjg3ZGPrCL3roDDYkVTvIFe7CGW5Pw6gy9IfeXEDQ5yASjhYkU2vNFFTMxufuoKv5QNL9RqQwh92bqPcdZIJpAQXaqhSNODk84aEJHbnQ54wQAXx40BNb9MA0ABEAqxA7xOzc4p1OyRbTi5M1gLwZBcp+Q5R6jicxY0aLjgKhf3XP82mR6rAx+PNkVDFtX1wVsDPkCAVYpJyEjbuwV14h71RRJx1NiWT3hUB4AAZyuTCOCUJiBXkPSztpkAa/Vp5aJU8tUKM6+30PRVInsBELs66AsUXLun+v7djOsZZVRMS+/zahSGLFRDtcJ7qFDaJCAEU4fdGafsXZZyMJGrtSH/I3ZMHnjf6jtAfrGWucQ7l+csp2WMNSkBrvHk56q2OGFLnCnTElnIcCUYpw0rOLOu8+yvSTqNRPG7RdV0/ETov/JM2BY7iHaHEmhwbf4aSMmTP5UhkGj9HTb8bRcYKGI6tQKFVMX/p5FAo1Ko2B2gNv03Ri/YD690Ts7HK8g0mVQ6V+KiW68YOWTxOWgjT7j9PoP4I9NHSLlQt9znBJNvRCbGPG3EeNDbnEzZc5J3zNEWfhbMSCElVSXg0z1rjeEwkp4ZyLYqFKtldGQhrUcJzzaZZqqBImyTLqIJo7Ic+4E7BOvYScmYvRZOcDEkFbO13Vm7Dv3066PDR+vJwYwvdzuJFsUdkKYTzjhZmy20tIHJS20yzVJHW/gaJW6tCojATDsdXqTLqzGyNu/+BsIBRbp3bPB05fC4ebVsRsr1YlnstT37mTCcXLASjNmYGzsYUsQykGTTSkrctdgy+Y+ufFkGbSBkUfB10bOOHZRZl+4umimf1rWcfCFe6kwX+YRt9hwlL8L41zGBozZwhLIWq8e6nx7sWqLqJIO4oCbVVKFYj8ogdbsAVbqJmOYN2AipQOJm3BGkJiAHUMmcDzkRBp8g8vL9PFgNFaQt2h6GSZXz4HhULNrvd+RXbRRComXTNgY+YM7nAXB1zvc9i9mTxNOQXaKvI15Sn1vIpSBEe4ja5gM12hJmyh5mGVf3WhzhkOuigg9jw9EEWzxDwzsWvfnKlXk8xOvBwlMy+uhA2lEmG07LYdUjNeBtdzcS4SEvXSMdk78EVCBUel6rjvScHCq8mbfyWOQ7txHNoJCOgKSim56jY0WTm0bXwnBaPvzSnpYNqKMo5E5KzLzqdSmJCQ2p2EyD5pC20yZKnTSZ55dJ8FJs9g0uWj15ydm+3exsEYFnqNtfvfNk993PbZhiQ2jrv2MK5oGQpBRVHWZA43vUtR1qTu86lO/D/DsJAFCoheTnh2ccKzC4Myi1xNKRZVHkalFb3SfFqyNhpfGBZDhKUgvogLd6QLZ7iTjkBdwrVDjrg3c8S9OR0vJ6XYQy3YQy0cdm9Go9BjVRdgUeVjUFrQKc3oFMbu+hhnJO9EKYIoRQhJAUKin4DoxSe68EVc3dLUQXFw3JqpRpQirOr451API2XYQ6280/b4UA8jLShVWkKB6OKosHIuLTVbiESCuO2NaA2pT+CPSCFaAydpDUQTC/VKM1mqAsyqXPRKMzqlqfv7ohBUKE9/XyJSuMdPUPThi7jwik58ESfeiBNXuHNYGS+xuJDmDJeMMCI1GrToE66FokQVM0RNQjqd/B/Fh5sQwZg1RLKSLJ6ZjuR/E1myvRwAjaQ2ITcZmqUaxgnTURC/SK4SFflCCS1S7xoy55I9cxFN772Eff+2Hsc99ccpWnpjWoyZIH6ahsgzMFyJJOiZqRImJiQnLhJhr7QpbrHQwaAybz7N9v1IUt+7LKNPSxgD2L0NafFU9EXkHINSEyccriR7elICAaGIjxb7IUqyp6FRGbEayrvzaMIRP23O9ETJDAtj5ly8EQde34WdLKebOoGCL38K7659dPz537KvC4o+2gK1tAXk6dTrp08i/4FP4t2+h46/pmf3KUOG/gh4bRjMhag0ekzZ5RzZ9jQQNXKkQTAMfJHoYrwlMPhx08OFROeM4UYiIgABKTFjJkvIjRmC5cHZa2fdKXWRKxT132eSxTPTkfwfa5znEyFMl9SSUP/pIEyITqmVfEGe4mkexbQQ25hRqDX4mmp6Hfc11SCo0lPTq1mqHXYCOkNNImFmo4RJjBGmxW94mghhqqUNpwvcDj0WfRHTK27lYMNbPfJhBEFgTOFSiq1Tuo+dbNs4aONyepspzY56ugos4zHp8nuFuAkIlObMZFLptUnfp75zJyWnE/5Lsqd1G0XN9gP95ucMlGFnzGTIkOHCoPnkRibM/xhI0HJqS3fxTJO1FL9n+CgKZhi+hAnhxYWB2HlAJrLoILEd2Xj5Ms4+FNKc2MglhjGThAhAVF46fjhgX+OJRaxxnk+n1JKW4pjJ0EFT3PpCZ8gVihAkIaYykuvEQQxlY3oVzTRWjsd18uCAxtofrVL8EJ7hhKBUIEXS+/eXKwAwSpgsu+5QtN8Qu8X3ZUt1pxubpw69JouirEnkm8di89ThDzlRKjRkGyvQqc/OZU22vbQ7+w+B16iMaFR6VAodKqU2+qPQoVCcNcILsiZi0OYQjgSiP2KAUCSAP+RAknr+TZvs+xlbtBS1Uo9SoebScZ+m1XEIj78DERG92kqeeTR6jZWwGORk2wbGFi5N+D2wextw+Vox6wvTWlvmXIadMaObNIacj34QVV42rpWbsL349lAPKUOGDEnQfGIjXkczCpUWW+tZ13I45KfuYOzEwwwZzuCUbBiE2MaMnDCt80kk+b97LHG8I2o0GDAllHtiwIwyTliVhIgLu+w+o/k7sV/fuXQxPHa0AbqkNlneOAA1WkxYY9YZctccoviKWzCNmkCgsxVBoUSbW4ixYhydO98nf8Fyzr1h+5b3BjT+IIGkJLQHG0EhkP+hReRcNwd1noXD9/6eUIcT6+XTkQIhHJsOpfR+cjwzo4UpjBamxG13huDpYqQDqTOVaiJiiB0n/8Osqg9j1OaSZx7TZ7sm2172N8Qu2jq76sNkGUpjthmVf2mfx7edeKpXXkw44md3zYvMqvowaqUOhaCk2NrbcPSHnOypfQW3v40xhZclVQ6jrnMnU8qu7w5ldvlbcfrSFwI47IwZ/6ETNH3nd+R++vahHkqGDIOKQqtFnZvX/aM0mVEajSiNJpRGIwq9AUGlQlAqT/9fhaBQIIkiUjiMFAkjRSJI4TCiz4fo8xLxeol4PYheL2GHnZCti7DdRshmQwqlX9ve0dE7Dr+zqf/EyAwgqFRo8gvRFBaizslFZc1GlWVFaTCg0BtQ6PUIKnX0c6BQIIVDiMEQUiiIGAwiBYNEPG5CXZ2EbDbCtk5CXV2EOtoRg4lJbQ4HnHRRREXMNomKAJxJ1o9FX7Vr4okAAGQJeXgl+caMnOR/N46EkskNmOIaSOeSTDHOdBHNTQqgRp7Ii0XIjllnKG/elYTcTrS5RWhzz3qrQi47lvG9czIGaszYpZFRAiDv5gXk3jiPrnd2UnDnZWdPRETyb1uUcmMmXs7MaGEqo4XJsvsL4GOXuA4Pw0u8SK3U4wl0suno3yjPnUVR1mQM2lxUSi3BsAe7p4GGrt10uk8Nyfhsnjo2Hn2cyrx55JnHYtBkIwgKQhEf3kAX7c5j1HfuJCxG1wdufztmXUHC92m272NC8ZWolNHvcWMavTIwDI2ZDGmgnyS0DEOH0mRGV16Btqwi+v/iEpSm5CR1BaUSQamEcx/+8UPwibjdBNtbCbY0E2xtJtDSQrC1GdHvT2ocGZJDlWXFMHY8usoqdOWVaAqLQJC/EyaoNSjVGohTjwVRJNDajL/mFP66Gvy1NYRsw2cR2x9yDAgDZhQoZS/4TVhRxnj8SUh9ekIC+AjgQ0v/SnlZ5NKcQPFMs4wva8LJ/zJycM6QqNdnMHBKNtk5P/Hev+NP/DIVQ5KNe5i9l/2RffVsGv7wOq7tx3oYM/7aNrSlyeV+xSKWZ6ZcGJuQIePDwy5xLT4SE34aDM6KqoSp7dhObcf2pPvacjw9YkeBkJujzas52rw6bttNR/864PuJUoQmW3plypM2ZkyXzcVy9WKUuVakUBjnW+twvvM+AEqzkeyP3IRu0hiIRHBv2In9tZUgirLOpwt1dg6V//fdlPV36qffI+IZwJcpIqIqyMV6y3XoJo5B0OuI2Bz4du/H/t93kQJnd87jiQZYrrsc663X4XhtBY43V/U4J4XDqEuLsN56HdqxVQgqFcH6JpzvrMVXHbt4oXXJ5eRdf2Pyr/EcfKdO0PjXP6Wkr5GGoFSiqxqNceJkjBMno87rv/jeYKE0mdCbTOhHneMGlySC7W34a0/hrz2Fr7aGUMfI2GkcSWjLKjBNm4Fx0hQ0+YnveiWFQoG2uBRtcSlZl0bVdEId7bj2VuPeV02wZehVgPrChQ0JKWaog4CACYvsOizWOF6ZWDLITqmLfKH/0I9E82bkhMjFq3FzPqYEau/48A67ZHUvLtk5P+YBSHOnA/cw8xT0hyY/i2BjH3kmkoSgTE3dv3Ppz5gpEMoYn0BBTC8udoprE1YvHDQSj8iSTc6sMiZ95XJ0hRbqXqnm2F9TJx4w7TvX4G10cOLJLSnpr9g6tdsr0+Y4kvbCoEkZM8ZLZ2G95Sra//g0gZP1KLPMCOqzXeXdfxeh5nYav/EQCp2W/C98BOtNV0QNFhnnLxYUFhNF334AKSLiP3ISQatGN2405qsuQ11eQttvB24RAyhzsyn81hcQXR78h0+g0OvQTRhN/hc+Tte/XsK9flv8TjIkjiCgHzUGyyXzMU6eikIrvzbOkCEIaAoK0RQUYpm7AICIy4X32BE8Rw/hO3aEiNc7xIMcmagsFsxz5mGZuwB1duqlqZNBnZdPzhVXkXPFVQTb23Dv2YVj62YibtdQD62bCBE8OOMu0E2CVXaSfNx8mRj9OOkin/6NGRNZCRXPNMkIM4s1nr7QIa8KOYBPGj5/6zMkknOk68MjaZ18CWGvC3fNkXOOCuQvvJrs6QsQBAX2A9tpW/9WryTpgeKXRsb8GGjuQj+uhEBTT0PZculEfKdSXwi4LwGAbPKZKiyQnZPhxsEucR1BLs7oga7dDWz8+L+Z+q2rh3oocanIu6T73/Vdu9J+v6SMGdPSuTjffp/AiagkYsR+didClWtFN3ks7X/8N1IwRCQYwvH6GnLv+zD211bGPX8xoZswBl/1ATr++gxSKPpFV+VmU/SDr6KbOBbt6AoCJ2PLTsq9j2vVBmzPv94dcqabOJaCr36a7Dtuwrv7AKJ7+LlrRyoKvZ6sBYuwXDIfdU7q3fWDjdJsxjz7EsyzLwFJwl9fh+fQftx7dg+bMCW9QcDn7Xt7tmqMmpoTyVWfTgXakjKyl16Baep0UKR+xzNVaPILyFl+LdnLluPatR3b+rXDxivnlGyYhDjGTAIiAPGS42N5eOJ5fwQELEKOLJlYLXo0cXJDRCI96t3IQRcjDO58/MNwh9uPfINAgxYBRQ/vUs7sJTiP7ulhzGRPn0/+guV0bl9LJOgnb+4VhFx2unZvSOnYh63H4DzaX9hA6RduQFcZ9QxnXzkDbUU+WYsmU/vT51N+v8h5RTONZDFDsRgF8uZEJ13sFt8nRPpzPTMMjJLs6Zh1hQA4fS10uWvSfs+kjBlVjpVwR98TujI7C9EfQPSdTTQN2xwoLSYElTLueSk8MgrTpQRRpOtfL3cbMgDhThve7XswXTYfTVVZSowZ0efH/tKbPXJn/IeP4921H8Ml0zFcMh332uFfQHS4ozQYsS5eStbCxSi0uqEeTnoQBHQVlegqKsm95gb89XW49+7GvW8PYYd9yIb18D/y+NInOggGeho08xfreOjPuSybNjgVls9FW1xK7rU3YBg/cdDvPRAElQrLvEuxzF2A+8A+ut59i2D70KpdOemihKqYbcwyQ6t0GOJ6LmLlkMgSASAXmwyFMDn1Zc6E2SWCVpBvzAQZfqIQISkgO1xHQECLrocBpLHm4e1RW0Ygb/5yOne+T+v6NwEIe5zkzlmacmNGrkduqLG/v5+I20fBnZch+oIU3r0U36lW6n7+Aq4d/csFJ8u5YWZa9MxWXIYKeXV+RCJUi+svCkOm9IYpVN42C12hGTEYoebZHdQ8L8+zobHqmfjAUnJmlyOGRZreOciJJ7d2y27L7VtQKZjxg+uRIiJ7f/oOUli+9zLXNIrJpdd1/36sZY3sawdCUsZMxO5EmWvt81y4045Cp0Wh1yH6oq5AVU4WEacbKRyJe/5iIljXSMTV250e7rIDIOjlP5BiEapv6vO99R85geGS6WirynGTMWaSRVAqsS5ZRvbly1FoRkAoWQrRlUcFDPKuvwnvsSM4tm7Ge/gAUprz385HoxH49eO5fP2+TsLh6MLvto+aePCHVh7/3eDGsKvMFnKvvxHzjNkJJfIPOwQB09TpGCdNwb5hHbbV7yIGh2YxIceAkKtoZpUhWRwrrCtEEB9u9Jj6bSO3eKasfJkEQ8wgKhEtl9AwNGYSNbA05xkzCpWaiP/s78aKsWgs2XTtWt99zNdSjyYr9Z7zRFTnhhrXrhO4dp0uKiwIaRULOmPMqFAzW3FZTBGN81GgZLwwi/1SavI5hivFV01k7Ccvpfr7b+A83Iomx4BCI3+ZPv371+Gp7eL9O/+JyqBhxo+uZ/TH5nHiyS3y+pakbkMm7Atx4JfvIon9fyashjJGFywiGPFG62Vp88gynK0R1WjbQ4drcIpWJxXz4N6wE8u1l6GpKgVBQGEyoCkvBogmsO89gvX2axE0apQWE1kfuBz3um2yzl9MnBue14PTC8FULYMi/YSQiY5orLTCHEcFKUO/6KtGU/6lB8m95oaLzpDpgSBgGD+R4o99kspvfp+cq65DaZAftz9QvnhPO+YsBT97NAe1WuAbP7Ty1e9a+c4DnTz52CAZM4KAdeESKr7+Lcwz54xsQ+YcBKWS7KVXUPG1b0VD5YYAN/a4SepqNLIWSFlx8mW8uOPWxHDEUReLJ/t8BjnGTDI1SxQJyDIPR09ComM6//UGnV3o8s4KCOTNvRzXyYOEXPbuY4KgSEvY53ApPpowaVY9DRNCgYIZisWyisSeT5FQkVANmpFI2QemUvP8ThwHW5BEiUCHB1+TvBBTXaGZnNnlHPv7JsRAmKDNy8l/b6f8g9Nk9y2GIkz//nUEHb64hgyAWqUn3zKO0uwZlGRP72HItDuPc7DhrQTfgeRJyjPjXr8DQaMm7zN3osqJho053lhDsD6qhtPx1+fJ+ciNlP7mWxAO49lcjeN/ZxW2Yp3Pu/8utFWlKLOzQJLQz55C4OgpOv/5cgpe7vAilbvXQsxJuZ9F1YWx1hoSBIWC3OtvwrpwyQWzaE0VKouF7Msux75h7aDd0+uReOCeDv70dD6vbyxGEOC+D7dxcO/geBLU2TkU3H5XT2W4CwxVlpWij3wCV/VO2l99cVC9NCIibhxxZXjNgpWAFDtnIZ5nxiF1xB2Pg86YtW+iZpUJX5xEdjlhZsnUgEnEmBluSmaQ+JiUgrKHV86+fxvFV34IXWE5utwijBVjOfnM73tco7HmEvHKFxq40Cj8yDJcO4/jPdwwKPeLEGaqsIBsklfyHC1MwYOTVqk+fuMRiK7AjK85uc03Xb6JsDdI2HN2Xg60u9FkG1ColbL6rrh1Bkq9hpP/2hrXkAEIhr24/e3o1BaUCg1hMYDL10KjbS/Ntn0Jh8cOhOSkmSUJ18pNuFZu6vO06PHS8df+E8hine94/NmkhnTBc2bXpJ+Fs8LSf40SpaXvcAil1QJAxHnxTujJoDJbKLr74+iqRg31UIYt7r3ViL7BTYT1uEW+8NF2fvf3PI4dCg6aIWOaNoOCD905MtTqUoB55hy0JWW0PP3PQc2lcUq2uIt/E1Y66F9iWokqriqaHRnGjNQZdzPIKuTii1E8U4UafZzaQGFCeElMbUw4/Z9chqMnIdExnW+8dWxfA4KAecwUIj4vtS/9BX9bz7w5Y+V4PPWDEwIzHMm7aT7u6t5FjdOBhMgEYRYFQtmA+5oizMMveXHQh6z0ENHuPMaKvT8dcD+BDje6ouTqzflbXagMGlRGLWFPNExTV2AiaPMihiKy+m5df4K6l6qZ96cP46m10b4ldmFPh7eRjUf/ktR4U02maOYIQfJHP5yqbGuf53Xj+19Ya8pLEDRqpGDP0AnthLEABGsuzF2OdKAtLqHkk59FaU5uwrlYcGzre6MjVby9taTXMUkCv08iHJa44+Nmrrz+bJjbdfObUj8IhYK8az+Adcmy1Pc9zNEUFFL2xa/S9vLzuPdWD8o9nXRRyuiYbeIZKlYhL+5C3y7DM+PCjkgkpgfEQi7N1PZ7XlaIWRL5MolzIXiWz9sBliQ6tq6iY+uqvpsDzSsvvGiPhJAkwo7BkZEWUFAqpMZrrUDJDMUitokrE1K9Gwk0vnOQMR+fj31vE85jbajNOnT5Jlwn4s9J/nY3HVtrGPeZhRx5bD0qg4ZRH51Lwxv7ZfcdcvjxNtrZ+8O3mPHjG9j+5Zdwnxo+RmMsMsbMCCHU2IIUDqOpLEU3aSz+Q8ejJwQBy3XLUJcV93utoNWQfcdNdD3zanc+jm7SOAwzJyMFgnh37huMlzDi0ZaUUfKp+wc1F2QkEmxtxl9bk9Z7DFoeTD8oNBoK77oH40T5VasvNBQaLUV33UOH2YJ94/tpv588EYCsmCIA8fJlQgTxyCh6KCHixBazXo01TvFMOfVlksmXkZCQEBFkpsTKlcYdTBIJk4NoLaIMieHYdAjTjFEEGuIvlIcbGnTMVCxmu7h6WOZ8JUvjWwdQalVM++616ApMhL0hTj29rdvgmP69a7FMKESbZwJJonDJGGx7mzjw62hZk30/W8HEB5Zy2fP3IoYiNL93mJP/2iar73Ppqm7g6F82MOsXN7H1/ucI2oe/3HjGmBkhiP4ArpUbsFy7jIKvfBr/kZOIPj+asmJUedm4N2zHtHhun9d6d+7DOH8WuinjCdY1otBq0U0cAwoFtuf/l6kxIwNtSRml930OhS41CnMXMo6t6VfGe/6poQuNVBpNlHzyM2hLBx4ycSGQ94GbETQabGvSWyfMjSOuN8SIuVfNkXPJInaxUockfxfSIXXGzL8xYUWBsl91q3Ql/0N0ca+SaaTINXoGk0TC5ABEKWPMJErrf9ZR8c3bUOWY8B1pRAz0jNxw74kdYpRqAvgSUjgzYWWasIA90sZBzc1IKxLUvbKHulf29Hl670/eiXl5yOln389WJNX3+dc1vnmAxjcPxB/zMCFjzIwg7K+8TcTpwrR4Htpxo5DCYYI19XQ+9SKix9uvMeNeuwnH/97Feut16CaMQVCrCNY24HhrDb7qkfNhHSqUJjPF99ybMWRkIIWCuHbvGOphpA2lyUzppz+HprAofuOLiNyrr0eh0dK54s203UNCwoU9puyxgAIDZjz9FJm0xMm5ccjIl+nZdkKMsQhYyO43BydeEVBILvkfzsgDy6vhoRqGywBVAtLSMLLkkIcLE5/4MgCGCaV9nt93008GZRwiEU5JB6mRjjBBmEVZAuFoeUIJ45jBUak6fQPMMCIYfrPYRYB//xHq7vu/fs87316D8+0+Cg1JEq731uN6b33vc9CrT9/eQz2Otf/xyaTGezEjKJUUfeTjqLKsQz2UEYFrbzWi3z/o9/3ofWb2Vwep3t6zPsXl1+jJLVDy0r8H7slRGk2UfuYLaPILBtzXhUj2siuRxAhd78XePRwITqkrruyxScjCI/U2ZvQYURNbpEFOvszZtvFFACxCTr99xpOnDRJIOicggB8N8gr3ym03mGiExMQ0Agz+nDPSOXjXr4d6CHRJbRyWduA9rfp3RNqFHiO5gvzNogphPB6cNEqDI2YwUrFaFeTmKdDpBHQ60OkE1GqBQEAiEJDw+8Hnk+hoj+ByjTxPV8aYuUjQW9REQiJBX2YHKxGyr7gafVXspOPBRIpEQIxEK/pKEoJKhaBSDRt5aOcghJj1xZ2fNPHbH9l7Hfd6Jb76WfOAjRmFVkvJvZ8ZNoaMJIpIoVD0M6BWIygTyzFIFzlXXE2oox3X7p1p6d9J/IR4E1m09nE8nhKahIgjgbCuIH78eNHRfw5df14kPUaUcfJCkvXKAAQkL2YZOTmQWIHNwSKRMUlIBDPGTMJEPEP3noUIclSqplmq6XFcQmKftJm5whUJ1aKZKMzGh5suafDUFYcjSiWMGati6jQ1U6aomDBRTUmJgqJiJXq9/DWC1yvR2hKhuVnk2NEwBw+EOHgwzNEjYYLB4WnoZIyZi4SbvzuRfSta2b/q4v6yJ4I6L5/spVcM2v2kSIRgSzPBtlaC7a2EbTbCTgdhpwPR70P0+5HCfSc7CioVCp0OpcmCymxGaTKjzslFnZePJi8fdV4+Cl16d2ADzU346/tXb0oneQVKThztXeiwqT5MQdEAF/oKBcUfuxdtyeDlyEjhMIHmJgKNDQRbGgnZ7YQd0R8pEOhdo0qhQKFWo7JkobJaUWVloykqRldWjrakFEE9eAvWglvvINTVhb829TH3ckQAjPStNGiJky9zRqEsERxSBzqh/3ozWf2IAMgKMUsyXwbAj/yE3Xjy0ENBImMKErhwciYuApqlWo5K1YQI9Hk+TIhqcQNzFcvRxPGknkFAwTRhIdulVQlLmY90ikuULF2mZdnlGhYv1mI0DXxj02AQGDVaxajRsHDR2WdHICCxbWuQ9euCrFsX4OiR4SO+kDFmLgIEhcC4S3PZt6Kv/coM/ZH/wQ+lfcc70NSI5/ABvEePEGis79dYiYcUDhNxu4m43QRb+m6jzs5BW1qGtrQcbWk5uooKFNrUGTjONMsxx8LnkcgvVFJ3quf7l5OrJBgY2EIn79ob0I8ZN6A+5BDq7MRz+ACeg/vx156KeuHkIoqIgQDB9rbetV8UCvRVozFOnoppyjRU1viFGgeCoFJR/LF7aXjsEUJdqZX19OIiQhhljEeXQTD3aUDEM2YSCTHrvoZOCmMUz9RhQIOW4HkLNwOWuH0PxJiJV6zzXPSCKabq2lCgp+/aaH3hJyNgk2rG/f4zHPvyX1Pap4hItbSeLin+OsSHhz3iBuYolslWtlOjYaZiCdvFlYQYvIK+Q4FOJ3DdDTruulvP3HmDt1Gl1QosuUzLksu0fPt7Zk4cD/PiCz5eeclHe/vQ1qvKGDNpYNFHKlh0dznZpXoCnghNh5289rPDtJ30MP3qQmbeUETQG2Ha1YW8/fAxdCYVyz49isPr2nn663sByKs0cNUXxjBmbjbGbA3OtgBbX2pg9V/P7nbqzSp+vPUKfnbF+1z9wBimXVWIIMD6f9ex4tGodPPnn55HyUQzWoOSj/9hZve1q/5yknd+f3xQ35eRhL5qNIax49PStxgI4Ny2Gef2LYNadDBk6yJk68K9P/oZQ6FAW1KGYfQY9KPHoqsanXThRzEYxLV7VwpHmxjbNwf49JcsHNrXgdcTXZlpdQL3ftHMrq197wDKwTR1BtYll6dqmL2QRBHPgX04tmzEdzJN30dRxHfyOL6Tx+l4878YJ0wia9Flaft8AyiNRgrv/CgNj/+hWw4+FUhIOLHFrCJuwIyA0Gu3Pl7yv5ximecjp3imWcihU+pZyNMox5gZQJiZC7vstlr0KFENK4nb/rxrfeGW7OkbSArQZRVQMuc6zMVjUaq1hLxO2g6up3X/uu42BVOWUDB5CRqjlaDbRsu+NXQc2QJAdtV0ckbPJhIOkF01ncYdb6HU6CiadjmOhkOcXPPv7n5yRs+iaMZydJY8gh477Ue20LZ/HZKU2HdQW9H/9ytZIoRlGTJncNDJAWkb04RLZV9jwMR0YSG7pPf7VTQcyWTnKLj/c0buvFuPxTL0KoRjxqr41rfNfOP/zLy7ws/vH3Fz5PDQzCMZYybFjJ6bzQe+MZ5/f3UPrcfdmHK1jJ2fg6P17IJq0tJ8XvrBQVpPeLjuq+PY+b8m/n7fTj73r7mUTDTTdNhFwBPB2RrgmQf34WoPUDXHyu0/nkLTIReH1/d86H704RnsfqOZtf+owZSjQYycfYj//b6dqLQKfrTpcp55cC+H1rYDEA4Ns624YYZ18dLUdyqK2De+j23tSiLeYVDsSxQJNNQRaKjD9v4aBKUSXdVojJOmYJwwCXWe/Aeae88uxMDQxWD/6Vd2nni5kP+tL+Hg3iCiKDF5ugatTuBTtyVnMGryCyi47c4Uj/Q0koRrzy46V7xF2D4YhRHP3tdz+CCewwfRllWQf9Mt6Mor03IrXXkl2UuvSLlks1PqIlvo/7OpQIEOYw/vhAETqjjqXo4kPDPyimdm08l5xowQe7Hux9vLm5PQuCSb7FqYZ1TXbLQnfb9UEy+/6VwSMdwGG7XBwoQbvoivq4mTq58k6HGgzy4m7D/72cyftIiSWddSt/kVvB31GPMrKL/0VgSFkvZDGwHIKp9E7cYX8dtbKb3kejqP7+DYir8y/oYvYMgpxdvViKV0AhWLbqdu00t42uvQZRVQufjDCAoFLXtWYZxSgRSO4D3SCIB5bt/eZkGpQFAO/UIZoFWqx4CZMcJU2ddkCwVMYg4Hpe1pHNngYrEouO9+A/fea8RgHB75seeiVMF1N+i49nod77zt55Hfujl6dHCNmowxk2K0BhVI4GwP0Fnvo7PeR221vUebcEBk53+bsBbpuP5r49jyfANNh104WvzklOppOuzC1RHgzd8e7b6mo87Lko9VUjrZ0suYOb61i43P1AHQdrKnyz3oiyCKUvd9A96MAEA81Nk5GCfLnzzlELJ10fLMkwQaG1LabyqRIhF8J47hO3GMjjdeQ52Xj2naDMzTZ6IpKol5rWPr0IWYAdSeDHPntS186CMmJkxRIwjw+oseXvy3m5amxD/zglpD0Uc/mbSnKhaB5kbaXn5+yD8LgYY6Gv78KJY588i78RYUmtSHK+RceQ2eQwcJtjSlrE85IgBGwYxPOrtgtAixQ8x8eJJSxJJTPNNC74W5IY7nYSBeGYgmWPvwyM49sQg52KThYcwYscQ1PM/FlYBnRmWyIIVCRAKDUwQwf+KlgMTxVf9EDEWN04Cz5/O7eOZVtOxbTdeJqGiG39GG1pxL8cyruo0ZMRKm8/gONEYrpZfcQMfhLXi7Ggl57GjM2Xi7GimedTXtBzfQdWJX9306jmwmf+JCWvasovyrNwNw+NOPAlD1vTRt1KSYU9JBDJgoFqpkX1MijMKDk1rpSPoGNkhcd72OH/3UQn7+8DAwYyEI0fFedbWOv/zZwx9+7yYwwDBvuWSMmRRzeH0H215p5IFn51O/z8H2VxrZ+Xoz4cBZl6fXEU1UDgWiiyyPLRrfGQ6KqLTRD6zWoOSyT1QxeVk+2SU6BKWAzqTi0LreD5y6PfY0v6qLC9O0mSlVBws0NdL0xONEPCMrtjvU0Y5tzUpsa1aiyS/ANH0Wphmzeil6BZoahnxhDtDeGuHx3/VdXyRRcq+6Bk1BYUr66kaSsG98n8533kgsHyadSBLOHVvx19VQ9JFPpPw1C0olhR++m4Y/PZyy1yxHBCBqLJz1hqQjX+YM8YpnmoXsHjkpGrRx1boGki9zhi6plVJBnhJjDoXUMjwWfjmC/M9ghLAs4zZn5iLyL70alTFqRIZcdto3rcC2b2vS45SDIacUT0d9tyFzPiqdCbXejLejvsdxT3sdxbOuRm2IhiOGA1FPvhg5vXY47dkRI2EUyqjhp88uxlRQRdGMK3vdR1AoOfr5x3o+1yQ4cMcvkcSei01BqWDK899M4tWmj0PSDnSCMWZ46fmMFabjxUW7lLqNlMEkJ1fBz35h4drrhp90ejxUKvjCA0auv0HLg19zsGtnb3GelN8z7Xe4yJBEiVd/cog1fzvFJbeUcNUXxrLs06N47CPbcHVGjRZJ6jl5iH084+/4xVQKx5h46fsHaDjoJOQX+crLfceOhvwXXmzoUGKYNDllfYVsXTQ98ZcRZ8icT7C9ja5VK+hatQJdRSWWOfMwTZ+FQqfDsWVovTLnk1+oxO+TcDmT+15oi0vIWpTaMEMpHKb1+afP5isNM4JtrTQ89ggln/wsusqqlPatLS7BMu9SHJs3pKQ/H25CBGMaBOcnkMcLW0qkWGbva2OLHJwvAhDPKwOpMWY6aaYUecZMtlCAUhoeeTN5FMtu2yW1xs2NyJ6+gMLLPkDnjrV4W+oQENAXV1B0+c0IKjVdu1PzuewTQQCp/51pheqMB+o86/z0r2L4zCLwvD7Oz4ERBJQqDU273qHz2LZe95HECNJ5OfERjx/R33uRKQFicOg/B+ciIrJX3MhcxXIMMsUhBASmCgvYIa0e1qGIfTF1mpq//M1KSenwkNxPllGjVTz/Ui4/+J6T/zyd3tD64e+3GqHYW/ys/PNJfnX9BtRaBbNvih2mcz4Tl+Sz6dl6Tu2yE/KLqDQKcsuSq0AvRSQkCRTK4RdrOdxQ6PXoK6pS05kk0frCM0Q8Ay/YOJzw19XS9uqLnPrZ92l97mnce3YP9ZAAuP0eE+/uKOGdbSWs3VfKW5tL+OCHE5SdFQTyb7kdQZG6qVH0+2l64i/D1pA5gxgI0PTEX/DVpL74XM4VV6PQpC5kzyXF3o0/f8FjilOzwi4lr7rmkHGt6ZyaL4Y4+TIAzjivTw6dUiuizCRoBQryhcSeUelAg5ZsQX4tpw76kW48h7y5l9O86mXaNq3AffIQrpMHadv4Ds0rXyZ3zmUDGW5cfLYWDHnl3d6T8wm67YT9boz5PRXxjPkVBD12IkGZ4XCShLerCZ21kKDH0eunLw7e3X/RzI7Xtsi77yASIki1uD4hpTIlKmYoFg/LwrD9cdMHdbz4Ss6IN2TOoFLBz35h4RcPWVCm0X2SMWZSzLSrC5l7ayklE83kluuZeFkehiw1HbWJWaVdDV4mLMrFUqAlf5SRO385FaU6OWMkEpborPMy+4Ml5FcZyKs0YMlPfS7AhYCurAJStJB179+Lvyb1tTaGC1I4jGvPLsRg8onKqeKWu4x86VtWXn7Gw5c+0c6XP9nB/1708OAPs/nwPfJlXrMWLEppQrwUDtP05N/wnTqRsj7TiRgM0PzUPwh1Ju+p6AulyYR1ybKU9RfPc6EXzv7NdRhienHChPCQfHhiAB9+Ys/vZqzd/47nmfHiIszAwzIihOlIIMRGrhcnnRQLVShkLkskJNqlxrjt1Fk5+Jrreh33tdShtqRXprz98CYUSjWjr/g4poIqtJY8LKXjsVZOO91Corl6JYXTlpEzZg66rAJyx86hYMpSmnevSOhezbtXkD1qBsUzr0KfXYQ+u5ic0bPIHTsn4XG3Pr0m4WsGAy8u9kqbElIq02FgpmKxbInnoeRj9xh45A9WdLoLb+P5zrsN/OFP1rQZNJkwsxQTCYks/lgFuWV6lCoFXY0+3n74GAdWJ6ao9Py3D/ChH07i/727BHdXkHVP1OBsT147/fnv7OeW707ia68uxGMP8c7vj7HjtZEZS5pOUpkzYN+4Ln6jDCnhns9aeOh7Nt54+Ww434bVPuprwtz3ZQsv/Cu+d0xpMJB79fWpG5Qk0frc02kpHplORL+P5qf/SdnnvpxSUQDrkmU4tmxMiacyXp6EHkO3PHO8ApUOqXPARRcdUic6wdDv+XM9Q/HCZAaa/H8ujZykAHnFXrOFAsxSNi4ZOSjpQEBBmTBWdvsOqYmgDNGGkNOOvqicQFfPZ7C+qJyQ057oMBMi6LZx5M0/UnrJ9Yy95j4USjVBj4PWfWeNhbaD65HECCWzr+mWZm7c8SYdR3uHi8XCXneAEyufoHjGVRTNWI4kRgg42mjZuxoAhU7dZ1jZSMMmtXGInUwW5sq+xkIOU4R57JM2p3FkA+OeTxj40U/iS7aPZK67XscfH7Pyxc/biaQ4kjFpY2bUGBX/XdNz4bfmXT9f/nRqi6SNNA6uaefgmv5VYfa+28red6Na6x5biG9Mfrf73K9u2Nj97/r9Dh65Lbar1+cK97g+FjW77Dx86/D9Ig8XNIVFKekn7HTir6tNSV8Z4lNSrmTf7t4eov3VAYrL5O3IZS1aikKXunCErjXv4T4wvEPL+iPY0kznO2+Qf9OtKetTodViXXQZne++NeC+4okACCjQYcCHB9M5XpG+SKa+zPk46KSQ8n7Pm4Ss7rSHc71GfZGKfJkzdEmt+AT5qmZjhKlUS+tTdv9EKBVGyR4nQBPyNgm6dq2n6MoPoTZn42upA0FAX1RB3rzLaX3/jWSHKxufrZnj7/0jZpv2w5toP9x37qGtZi+2mug8EvZ72PnE17vPHXj5oR5tHfWHcNQf6rOfcY9+lvqH/4v3UFRsoPxrN9Pwh9eRQsNEjCQBmqRTGDBTJUyUfU2hUI4XFyek/WkcWXLcdrv+gjdkznDtdTp+/sssvvlgasR6zpC0MdPaEuE7X7FhzVEwZbqa62/uf1cqVRSVKHHYRXzeTI2UDOlBnZObkn4CDbUxEz8zpJaWxghTZmioPdlzu2fKDA0tjfEf1gqdDuvCJSkbj7++DtsqeRsNwxXHlo1Y5sxDWypvZ18Olrnz6Vq1YsDKZtE6LP6YsfB6wYhP8mCOky8TL4FfDvGKZxrJ6vYUxfPMOFKQL3MGCYla6QgThdmy2ucJxeRTMugKUBq0CdUS8eKi47xCpP3Ruet9JEkk/9KrUBmiIX5hr5u2DW/TVT28xEvSiTrPQsRx1nNtXTaNxsfeGpHGDMBxaS8GTBQI8uenUcJkPLhokYbPRuOcS9T8/KHUGjJOp8iRw2FqayPUnorQ0hLBZhexdYm4nBLBkEQoFK03qNYIaDQCanW0nk1OjoLsbIHiEiWVlUoqKlVMnKhKaX2bD9+h5+CBEE/9M3WiAEkbM16PxOuvRAeyaJku7caMWi3wvzWFfOtLXaxeMXTF+TIMPgqjHikcQQokH2Yn+17a1OzMBzvSU7Nh5od/iFovrzr27ue+T8GESymddR3tR7dQs/nFftsWTVlG+SU3Yqvdx/G1T6ZotIPHc0+6+eZPsikqVXFgTxBBgKkzNNxzv5lHfxl/B8i68LKUeWWkSITWF55BEuXHdZf+vwfxVO/F/vbADCCFTkfZj76LQh99LS2P/An/ySTD3CSJ9v++TNnnvzygMZ2L0mTGOHV6SkQjnJKNPKF/5Ssd0WfSucn35yMhyUrgj4cLGyJiv/keChQYMBEiiDLGY1dCSnmYV6N0kkphgmyvxyThEhzSigEV7UyUicIc1MjP4zwpHUwoNLBr9wa6dm9AZTAhqNSnw8surs2msN2DbkwxgabUef6Gmv3SVi4RDHGl189lsjAXn+QZkIJhqigqUvL437JRJ5kPfQabTWTd2gDr1gap3h2ktiaS0r1UhQLGjlUxa7aapcu0LL5Mi9k8sDF/7/sWDuwPs2N7atZ1IyZnZtZcDTr9hZcUlSE+OR+5Ce+O/Xh3HUj7vYQUFUkU/ekxuD0ddai0ZzcO1HoLWnMuIZ+LgKvn5CxJEbpq9lA66zqs5VNg80v09wC3lk8BoKt2T1rGnW6efcJFJCxx35ct5ORFw8q6OiM89hsnL/07do6GQqsla1HqVI0cm9YTSpMxGw/R76fum99FlZNN2Q+/M+D+/PW1+E4cQz+m72rhyZA1f2FqjBm6Ysr46jCeNiL6N/7d2FMiRywi4sJGFv17do2ChYAUe17w4EAktTvlEiInpQNMEebJaq9BxwzFYnaKa1M+lr4YLUxJaHfdg5NWqXdCvxzC3gtLWTIRut7eScWDtxK4eymiL7qAHP3Lj4PY9zPh+Nf+PpjDSwqRCNXiBuYplndvXsRDgYIZikVsF1fiY2hLJvzy1xby8pITHAqFJN5bEeDZ/3jZtDFIAntnCSOKcPRomKNHwzz/nA+lCpYu03LHnXquvFKXVFK/UgW/+V0W1yzvSElhzRFjzCxcmlHfuigRBHRTxuHdMThxrumo+J5Kjq1+osfvBRMWUrngQ9jr91Oz+aVe7SNBPz57C3prEab8Ctztvd3rKq0BU0EVUiSMo+Fg2saebl74l5sX/uUmO1eBVivQ2ixvd8oydwFKQ2o8yxGvh67V76WkrwGRwiebbe2qlBoz+lFj0BQUEmxrHVA/8UQAdBi6w7v6YyDFMs/HIXWSJcQwZrCgFGI/clMhydwXzVINJVTJlj3OIpcZwiL2SpvSWnumUpjAaGFKQtcclnYl5JVRanXkLbgKQ+kolJre3tfjT/4qofuPVNpe3IDnYB2GCaUoLUb0Y4vx7K1BiozsOnVB/FSL65mruDKm1/NcNGiZqVjMdnF1SpQDk+HW2/QsXZb4eiMUknj+OR9/etRDS8vQhAhGwrB6ZYDVKwOUlil54MsmbrtNn7BRU1ml5EtfMfHrh1wDHtOgGzMlZUo+84CZSy/TkVegwOmQ2L45wF8fdXH8SM8P1eLLdXzkk0bGT1aTXxDdbX3kb70fFrNGN6ZcGSFD+jHOn0HWjVegKswl0mnHtW4bzhUbuhdiRd++H01FCYJWQ/4DH+u+zvH6auyvnA3HURflY/3QNegmjUbQaok4nLje24RzRRKJrClaBCr1ydUESgddNXsonVmEtXxKn8ZMVtkkBEGBvekQkX4qVY8kbJ2J/Q0tl8jbsZaDfcM6RL/M2hAjBO/xowTb29Dky6//EQ/T1Bl0rR5YSF08EQAdxrhKZqlI/j+3rwrG93vegIWYAwYcKUz+P5+D0g4WCNeglClRmysUMUdYxj5xCz5S69FQoGS8MJMyYUxC1zVKJ7FJiSmDFi//EKaqidgP7UL0p7dw33DHc6AOz4GoVyv32tm0/mcdoj/94dvpxo2DvdJmZgqLY25enIuRLKYJC6iWNgxYzTBRrFYF3/uBvHDxc9m5I8T/Pejg5Inhs+BtbIjwrW84eOJvHh76TRYzZ/VdU6k/Pnu/kZde9HHq5MBe06AaM9Nna3j837mYzAr2Vwep3hGkoEjB1dfrueIaHV+/v4t1K8+64cMhiSOHQhw5FGLplTrGjFez8m0fdTU9X/T5xXAzDH/0U8eT84lb6XrqVQKnGlAX5ZN774cQlEocb0RlK1t/+wSCWkX5H75Px+PP4q0+rdJyTvKw0mqh6Dv3E6xrpv2PTxO2OdGUFRJxJuc+FkOp2aVR56Vu4TdQbLV7KZ15DdbyqTTs6q0klV0eTbwdqhCzstvm4DrcgmN/z5oReYvHock20PT6wMb11+cL+MwdfS+AtKVlaArlVxyPhRQK4dyWvGKgoFaTf8/d6KdNgXAE36HDdL74CqLv7JxonDML69VXosrPI2yz4960Bcea9xMywku/+00c761GP2kChqlTEAMBXBs2YX/nvX5FK9x7dpOz/JqkX9v5GCdNHrAxE8RPAB9a+t440AsGzJI1Zh+pyJfp0VcsEQDBghTHVZhKWebz8eHmqLSbScIlsq+xkMMCxdWckPbTIJ1ISdhZrlDEeGEWxjj1ds7Hh4djUuJzgalqIg1vPoO75nDC117IeI80XlAiNZ1SM0fZzQSZYhcAuUIx45nJEWlwCz9/+jNGrNbEwst+/7CbRx9xpzWcbCAcPRrmQzd38tUHTXzxAfm13ZQq+MIXjTz4tYGpmw2aMaPVCfz2zzkYTQq+fn8X7711dvdy2iwNf/tPHr98NIebr2yltTk6YW7ZEGDLhuhOcWGRkjHj1bzxijcjAHABkPXBK3Gt2oRnSzUA4dYO3Gu2Yrp8QbcxIwWC3Ys0KRTuUwDAvGw+kgRtj/6r+3y4NfndVtGXmp07XUUVCMKweFj47C34HW3orYVozXk9cmsEhRJLyQQkMYK9Pv05SX1RestsTvx5ba/jEV+Q8vuXDtiYmXFJ/7VSLHNS55VxVe8k4kk+BtuydDGOVWux//ZRVNlW8u65m6xrlmN7LSofq580gdw7b6Pz+ZcI1tajLiwg967bQanE8e6qhO6V86EPYnvtDexvrUA7uorcD3+IcJcN99btfb+2PbtSasxoS8tRms1EXAMLL3BIXRQIpX2e02GkSOi/AKofb9xil4kQwBfTuDKRhT5GLRoREfcAinfKoVE6iZnshDwiSlSMF2ZSKUygQTpBs1ST8PumREWBUEapMBoreYkOmwhh9ogbkwoJEpQqQq6hqZ0znDn1g2eGeggpp146jgEz5YL8sNhyYRwenDRIg1PYODtbwSc+KT+sORKBB7/q4LVXh7/HXxTht79yc+J4hN/8LgulzDqlN9+i55HfuWloSH6zZNCMmWtv1FNYrOTdN309DBmAfbuD/Otvbu7/ipm7P2Hi4V+kd0LPMPSoy4rQjq0k64bLe50TlErZ0q2ayhKCpxpSpnQWttuhYuD9KI1G9FWjh03l967avZRMX052+RRaDp4t5mkpGotSrcXRcIhIcGg2CbS5Rjynehug/hYH2ry+d3hmzpUXa6xUgkrV93a5oFRimjFL/kDj4Ny+dUDXB+rqsb8VrfodamnFs2M3ulFV3eet116F6/2NeHZEdxFD7R1oNm7BvOjShI0Z/5FjuDZF61iF2trRjRmNecnCfo2ZUEc7oY521Hn5SbyyPhAEjBMm49wxsPfMRRcF9G3MCAhoYihkOVKYL3MGu9RBodB3vRkFChQxxuPCllBl82Q5Iu3GiFl2/swZtOgZI0xljDAVD05sUjseHHjxEJICRAgjIaFEhUpQo8eAATNZQh5Z5Par9CaHA9I23NiTutZ1Yj9ZE2fRtvGdpO+fYeRwVKpGjymm0uH5TBBm48VNlzSwPD453PMJA0aTfDGr73xrZBgy5/LaKz7UKvjVb2OH+Z5BqYJPfsrAT36U/ObWoBkzcy+NTuIb1/a9YFq/xs/9XzGzYIkWfjFYo8owJAgCCq0G+yvv4t6ws9fphGpQCKQ0zjBkS12Yh3XRZcPGmLGdNmasFVN7GDPWijMqZkNX3DHiC6HNM+Fr7Ll7qrYaEIN9fxb+8dLAw/gMEyajNMgv0heLkK0Lf/3AahcEa+t7/C56vT3kotUlxWhHVZF11RW9rk1kAwAg2NLzoR1sbMIwfVrMa3ynTqTOmAEMEycN2JgZSI5JKvNlzhCveGYs0pX8fz4SItXSBmYJlyXlJYGomIFROKc2RhqFRg9JO2iTGmS3L1jY04MYcjnInXs5xvIx+FrqEYM98wLbNq1IyTgzDA8kJPZJm5krXBG3YO4ZBASmCwvZLq3CgzNtYxME+NDt8vNp//E3D88/N7IMmTO8+IKPceNV3PdZec/Ym27W8/Ofuki2BNmgGTMFRVF/U0tT3yM9c7yoWKZfKsPIRZII1jWjLi0kYovjhROlaKiWou9dvWBDK6bFcxA0aqTgwPNdgs2pKxZnnDIt6p2pOZmyPpPF29VIwNWJqaAKldZIOBANh7KWTUaSROz1Q1cV2VZdT8VHF+A62kLEF/0bKrQqKu6ej31v/4uYDyxsRuxHVvQMKpXA/zb0vUNnnDQ5+UGfh3tf9YD7EAMxxBcEAYVGg/3Nd/r0niRahFI43/8vCMSru+E7eRzL3AUJ3ScWuvKqAffhkmxJL6TtKcyXOUO8vJlYONOY/H8+EcLsFt9nlmIJVlJnoKaag9J2mqTE6iRZxs/odSxk70SpM2Kq6l0xPmPMXHhECHdLNscqrHsuKtTMVCxmm7iSEOkRRZg7T0N5ubw17tEjYX71y5EtJf7rh9wsXqJl0uT4pkZenoJFi7W8vy45EaJBVzMT+pno+zue4cLE/t+VFHzxo4Sa2vDu3A+CgKa0EJRKPJt2dbeTIhHCbZ2YFs4i1NCMJIEUCBCxR92R7jVbMF+xgPzPfwTHG2uION2o8nNQ6DR4dyaeA+JvSK5+QX8U3H4X9X/8HaJv6HdXumr3Ujz1cqxlk+g4sQNDTikaYzaOpiOEA0On8lPzxAZmPnIn85++D9fhFiRJwjy+EIVWRfVXnuvzGrdLpLlRnvpJsB8Ne8O4CUmP+Xw8h9KcbyRJBBubUBcXEbYPPAxXXdjTs6UpLSHUHttT4a9LbdVslcWCymwh7Ep+JzREEB8e2QUhzxAhnHTYUiziFc+MRTqT//siQphd4vtMEuZQLFQN6r3jESbEAWkr7VLim0sXi9Ryhtj48VItbmCO4nLZCn56TMxQLGKXuA4xDSGfN31QfmHmn/3ERTA49Dm3AyEUkvjJj5z853l5RU2v/4AuaWMm+SDWBGlujO4cFvbjeTlzvKV5aHSzMwwuvt0HaXv0X+inT6D4Bw9Q9J3PYbl2CVKw945Ixz9eRJlrpfjHX6Hom59BP+Ws/Gm4007Lzx8HJAq+di8lP/sauR+/BaUlcdlDgFBnB2Fn6nK21Dm5FH/sXgR1/0nog4XttFrZmQKZ1vLJp48PXYgZgLe+ix2f+RdN/6tGOi340PLuAXbc968+c2kArl/QLLv/V5/rnZSvKShElWVNarznI4WCBOpTawT3hf3tdzHOnI712qtQFxehKSnGOGcWprlzejc+43lR9j3F6yeMw7xkEeqCfEwL5mKcPRPXhk0x7x+ydSGFUrtjqS1LLiTrXJIxAhxSZ1rkWM8Uz0yUCGG8DLzWQqKIRDggbeOoVD0o+Tpy8OBkm7gyKUMmQ4ZzcdLFASmxUFYr+Qkp/iXCwkXy1gHbtwWTXtQPNzZvCrJpo7znxoIFya+TBs0zs3m9n1vuMLDkCh2vPt97F/iyK6IW69aNff8BA/7og0ejzbhwLhR8ew7j2xNfLjNwrJbmHzza7/lQQwttjzyVsnF5Dh0ka/6lKetPP2oMpZ+6n+an/0nEPfgLljN4OuoJum1YiscjCIruEDNb3dCFmJ0h2Omm5qnYi+lz8bjlL7x+9f3ei0vD2P7rgSSKr7Ym4TCvZPDuO0Dr3/6J9ZrlZF11JZIYIdTahmPlmu42ObfdgvnS+Qjq6NRe9MDnkCIRAqdqaHn0z93tnGvfRzd2NDkf/ABiKIhj5RrcW3fEHoAkEWxvQ1siv1p7PLSl5QP2ajnpSjhPxU7qQ8zOEK94Zl84sQ16rYtzqZOO0iW1MlkxFwvydlFTjYhIrXSYU9LBlO6K516yFF9zHd7GnuFqlnHTUBnNdFXLn3cyjDzapAaOs5exwnTZ1xQLVXhwUiOlTs67oEDBqNHyltz/eXroIzlSyTNPe2UZcpVVSvLzFbS3J/79HzRjZuVbfmpPhrnyWj3X3qjnndfP/rGmztTw0U+Z8Psknnuq7xjBuproYmHJFTre+d+F9YfOMLzwHNibUmMGQFdZRfkDX6f91RfwHD6Y0r4TwVa3j8LJl2EpHocxtxxnywnC/pEdl5sM+hSGmPlPDTwnqvEXv+l1zP72u9jf7lmLxXfgEL4Dh/rtp+ulV+l66dW49xODYdr/+e+Exxlsa02xMTPwvuIVz+wLRxqS/8/2nbihNNghZn3hxsF2cRWlwhhGCZP6lZhOB+1SI8elfWlJvs6dfRkta17rdVwMBshd9sGMMXMRUCMdxoCZEmGU7GvGCtPx4qJNaozfWAZz58vzOng9Eu+8fWGVH1n5bgCXS8Jsjj9RXzJXw9tvJf76kzZmrr5BjyVLgckiMHFytOLn6LEq7nvAjNsl4nZK7K0OUnu6qmc4LPG1+7v427N5/OpPOdzzmSB1p8LkFSi5ZL4WUZL4f1+y0dSPzvTrL3v59BdN3HirgTHj1Jw6HkKnFzBbFHz6zvQ9mDJcfHiPHyVk60KdndodSpXFQvHHP417bzWd77yRUuU0uXTV7qFw8mUUTbsCBKE79Gy4Mucv97Dzs/+K2+6j95mjhXi39/TsXn6NntwCJS/9+xyDTRDQj06s8ngsAs2pedgNJsnmKEYGkN/SF+rc5NS0zuWMV0Nu5W8JKaXFMs8nGRGAwUz+j4WERIN0nCbpJKXCGMqFcRiQXwAvEUQitEoN1EqH01pfR2W04O9o6XU86OhCbZInHZth5HNI2okOIzkJSJJPERbgk1YnFTp6PmPGyFtub98exO8f2bky5xMMSmzdEmT5VfFLKowZm5xZkrQx86s/5qA4L/2lcrSKB75xVq7x97908o/HzobVHDsc4vZr2/jMA2Yuu1LHxClqnA6Jle/4+MefXBza378aVXtbhE/e3sED/2dh8jQ14yfpcdglDu1Lj+pEhosYScK5bTO519yQlu5N02dinDwVx9ZN2NatGnDhwERwt9US9DqwFI0FScJWt2/Q7p0Mxkp54Tp3ftLEb39k73Xc65X46mfNPYwZTV4+Co28OjVyCKRQAW+4E3al1ouXirylM/kmRizxGwMeHEkVX5SLH2/M4pl9MRw8M+ciIlIvHaNeOkYWeRQLleQJxeiQX+yvL8KEsEsdtFJPm9RABHkiHgNBDAVQm7II2tp7HFcZTEiR9H0OMgwvJET2ShuZJyzHgLycWiXKboWzAAOLCBo1Sp4IwdYtF+aadutmecZMZVVyisZJGzMzRyW3G9neGuFn37Xzs+8mfu2RgyG++In07ahlyHAGx+YNWJcsS1kdkvMRVCqsiy4ja/5CHNs2Y1+/lrB9MOpMSNhq91E4aTGutlOEfIOfw5M1vQwpFMF5KJrEn7tgdJ/tBKUCQSVPoySvQMmJo70XJk314W5Z+DNoiksSHHH/iH7/IP3dhgcRd2o9MwqNBqXBQMQ7MDW9zeLwKoi4Xnx9qIeQMhx0RAuMSqDHiFXIx0QWekwYBCNqtChRoUQFSESIECFMmCA+yYMXD15cOKRO3NgHPTfIU3ec/EuvitaYCUU9twqVmrwFy/HUxw8RlZBYKb6Q7mGOWFaJLw71EGQTJsQm8e0huXfVKHnL7SOH02/gDwVHjsh7XZWVg2zMZEgPSpWOecu/jUodFUTYs/ExnF01CbfJMDDEQAD7utXkXndjWu8jqFRYFy4ha8EiPPv2YNuwlkBDffwLT9N2ZBNtRxKL+a7b9ip12+LnVaSLid+8DoCtH/kbAFN/esuA+/R5JPILldSd6jlh5uQqe0kza4tSZ8wE29tS1tdg0fjTh5K+dqBGR1+osqxp6TdD6vHhwSedow44AqJh2ja8xai7HmDcfd/B31KPJEnoi8oRVGpqnv3DUA8vMQSwjs7uddjX4SXguDDUry5UcvPkbczV1l6Yir61NfKMmYLCjDEzLFCp9UhihEgkOVdhJOxn8zvfR6vPZt7y/5d0mwwDx77xfcxz5qEpKEz7vQSFAtOMWZhmzMJfV4Nj8wbc+/YMikrWYLP93n/SI6lAgg03Pop0XgFMQaVg8f8ekNfn5gCf/pKFQ/s68Hqi/Wh1Avd+0cyurT0f8qn0zIQd9pT1NRKQwqnfNVRlWS+qUL0Mg0ugq43jT/2anBkL0RWUAgL2/dvo2rOJkHNkeVWzx+Rw4zM39zq+/eGtHHouzbWuMgwIg15eIl3zBVqepK1NnkKZwZBcQmfGmEkxY6bdTEfTXjpbBjixSDL+8HLaZEgaKRKh7ZUXKPvsFwe1qquuogpdRRV5138Q546tOLdvGRKxgHQhBnouiMNuPxF/H7Hrwd5t++NPv7LzxMuF/G99CQf3BhFFicnTNWh1Ap+6raf3RJsxZpImHcaM0pRcTagLCRVqFgvXoyIqprNDWos9jYprFxtht5O2jcMrFDEZiuenbu7KMLgYjPLWEH7fCHB3JoHfLyFJ8ZdSco2+8xm0opkXBYKANW/cUI8iQwrx156ia/V7Q3JvpdlM9uXLqfzGdyi597OYpk5HUCbngh3ObLzlT/2ea3hpp6w+ak+GufPaFl562k0kEn0YvP6ihzuubuH44bOGkkKnS1mxTOCiypcBkCKpN2YEzdAXlI2FGs3pfJD0ESbEWum/bJDeSut9MoxsSuaVDvUQMiSJRhN/kR4ISIgX8B51IBDfUNMlacxkPDMpYsaiz2O0lKBUaZg89+Pdx+uPraLm8Iru3/NLZ1Ix7kp0xlwCPjsttVtpPLkeKeNlGbZ0rVqBrqISQwprkySEIGAYNwHDuAlEPB5c1Ttx7dx2UYTmnPrnBtlt21sjPP672BKvKmvvePOBkHfDB8m74YMp7fNiQ6FWD/UQYjJBmEmr1EA76f++DWXhzAuJqju+QOObTxNyR+cDpVZH9sxFdGxdzZlEH7Upi9IbPkrN8/1vpgwnFGoFBTPTH/KcITGu+VwV824s5CfXb43ZLuCX4npn1OoLuyi8HIPuzGZkomSMmRSxf8vfUShVLLjmhxze9R+6WqOFEUXxbPxjdv54xk3/EMf3voLLXo/elM+4GbcjKJTUH1s9VEPPEA9JouWZpyj97BfQFg/tzpjSaMS66DKsiy4j0NSIa9d2XHt2E3EPvirZSERlydSVGG4Iw9iYERDIoYBWGoZ6KBkSwFg+BkF19nOl0BkoXHIDndvXdOfmCSo1xvLU1ZtKNwXTC1HpMku2gWCwqAiHJIK+wc9L8friGzMKBeh0wgVXZwZAqxVQyIgF83gyxsyQEokEu70rYiREJNxbAKBi/FU0ndpEW+NuAHyeDlpqt1BcuSBjzAxzxICfpr//meJPfAZdecVQDwcAbUkp2pJS8q6/Ce+xI7h278R9cD9SaGTp1BvKcwh0uol4o+PWZBsovGoyvgY7HZuOp/ReGWNm+JGoMWPAzFhhKtnko0RFED910nHqONrdpoJxlAtj0GHAh5da6QiNnOo+f6lwNbXSUbKFfAooRUSkkxYOS7u7a9BcIizDjBUlKmYIC7uvPcUhTkjRnEgVapYJH2SD9BajhckUUIqAQB3HutvIGU+GDPHI5MsMnNu/O57dK9rYu2rw89G8XnmL9OwcBc1NF54IQH6+vKwWn8z36XwyxswgYrQUYcmppHzc5b3OCQolknjhfYAvJCJeL41/e4zCD9+FaeqMoR7OWRQKDBMmYZgwifyAH/feapw7tuGvqxnqkcli7ANXYN9TT90zW1FoVMx85C4UGiVqi46T/9hA4yu7UnavjDEz/FCo5efMaNEzV1iGCwd7pc0E8GEiiyBnFevKGcNoYTJHpN04sJFFDhOFWQiSggZOdLebIMykjmNsk1ajQ89UYR6jhEkck/YCsFvagAIFS4Wb2CdtpYNoXSSJ3iHB04QFtEh11HIEDVrEc8LF5I4nQ4ZYFM/N5MsMBEEhMGFhNrtXpFhOX5K3+O7qFKmoiJ/zWlWlvCCNGbnFMG225FIuMsbMYCEIKJUaag+voLV+R6/TF7Mhk3XdlZguW4DSbCZit9P0k98hBc56FwS1mpIffYPOfz6H/1j8ImfpRAoFaXnmKaxLlpF7zQ3DLiFfodVhmbsAy9wFBNvbcO3Yhmv3DsKu1BY7TCWmMQXUPBmtlVO4fBIKrYrtn3iCnPmjqPrEopQaM0qLvCrxGQYRhfzvUKkwCgnYI23qrh7vxd2jzShhErXSEZqpO33ehR4jo4VJNEhnjQcn9m7viQcnLdRjJbf7fIQwEtGxiacLQfZHF23Uc/x0Xz1DPuWOJ0OG/tCYteROzI3fcITw0JbF/O2L+zm+w860K/L4zJ+m8Y+v7Kd6RTujZmZx/+PT+OaCDeRX6rn+C6MYO9eKKUeNoy3IphebePevtd19ffv1eax6oo7xC7KZcWU+4ZDIofVdvPCTo/hc0e/sV56eTdkkE1qDkvv+OK372hWP1/LG78+uKebcUMg191eSX6HH1hxg44tNrHmyHvF0HocgwHVfGMXiO0vQGpUcWNtJe61P1muuq4swc1Z8L/SYMSo2bxpZ0RVyGDtOnrlRW5PcWjhjzKSQaPKmhCD04U6TJNzOJgzmQgL+2EnKFxO6caOx3nQNHf94hkBdI0qzqYchA3SXJJHCw8fgs69fi+/kcQo//JFBqUOTDJr8AnKv+wA511yP5+B+HFs24jtxbKiH1QulQUPQFi3EV3TtVJrf2EPEH8J1tBVdYWqNj4xnZmRjJhsntn4NCw1aNOhw0FNlzil1oREmo0VPgOjiw0lPufMQwW5p5ERxSp0DHk+G1DLm4w/2OjbxgZ8PwUgGTvElxQiKCyc5vO6Ai9KJJo7vsDN6dhbttT5GzcyiekU7ZZNM1O6LbggEPBHsbQGefPAgzvYAo+dkcfdPJtJw2M3B989+5z78vfGsfrKe39yxk+xiLff8ajLX3F/Ja7+ObhY8dt8e1FoFv9y8mCe/foD9a6PXhkNnvSqTFudw148m8NwPj1C7z0nhKAN3/3QiSpXAu3+JGk/zbi7iqvsqeP7HRzm128HERTl88GtjsDX747/mOnlKkHPna3j63xdeEeH5C+R54E+dyhgzQ44kRvB5Oikom4PH2QJIRCJBgv7ornjd0feYdMk9VLjb6GjehyAIGMxFCIKCtoaeu8/C6d1KQeh/11JOm+GOZlQFobYOPDv2ABBu6x3LKgVDNH57+D2EAo0N1P/ht2RfvpzspVcOOy/NGQSFAtPU6ZimTifY1opj6yZcO7cjBuJPwIOBv8WBsSoPtVmHeUIRB3/yBgAqgxYpnFqVP6XekNL+Mgwu0eVc/2EditOelN7LvuiRc42gWJ6WRInQ9wM4kfFkSB3N77001ENIKRdavkzdvqgxAzB6VhYbX2hixlV5AJRNMlG3P2rMODuC/Pc3Z72X7XU+lt1TTvlkUw9jpu6AizcfjeagtZzwsPONVkbPOrtxFfRFuoUfQgGRgLf39/W6z1ex7pkGdrzRGr1XrY8Nzzex+M7SbmNmyV2l7HyrjS0vR0NOW096mbQoh/wKfdzXXCNzkb7gUg2CIDt6bUSgVEVflxxOnEhuTswYMynmaPULjJ12M7OXfZVw0EPN4XdorY/WyuhsOcjB7U9RMe5KysddETV+3O3UH1/Tff2YqTdTVDkPhSL6p5m+8LNIYgSnrZa9mx6X3WakoDQZkQKB+A2HKVI4TNd77+Cu3kXejbcMnXyzTDQFheTfeAu5V1+Pc/sW7BvWDXnhx6b/VjP5+zeCJNH85l4C7dEHmWlcAb7m1Hoxh7NyVob4uHFQQhUKlIh9GBB+vAQJYCGHTlq7j1uEbPx4u5P75XJGKllIsiRbqseTQR5dezYN9RBSSvEFVl+mbr+Lqz5TgVKtoHSiib99cR/XP1DV/fsZ40FrUHLFJ8qZenkeOSU6FErQmVQcWNtz47BuX8/QTq8zjM6c2PK2ZLyJUbOyuPozlb3OKVUCkbBEQZWBnW/0zLlpPu6RZczs3iXvu15QoGDhYg0b1184oWbLLteSnS1vDt25PbnXnTFmUoyzq4Zd6x7p93xX6yG6Wg/1e/7E/tc4sf+1mPeQ02a4U/Cl+9COrkCh0wFQ+fivAfBs20XHE892tyv/3Y9R6HUgCLT96Ql8+3q+dyXffxDne2vRTRyLfsZUiETwHThM17OvIvrOeh6Mc2eRdd2VqApyiXTZcW3YinPl+6SqQlWwvY2mJ/6CYcIk8q67EU1hUUr6TRcKrRbr4qVkLVyCe89u7OvXDFndmsbXduM52Y5Sr6Fz21mFp4gnQM2TG1N6L0GVmfJGMg3SScqEMUwXFnBKOkyIADqMqFDRRiMAp6RDjBGm4Jc83Qn3lYzniFSd8P0kRLy4KRYqcEsOQCJCmADyvZqJjEdx2mgS+vDlZLg4MZWYMZeah3oYKaV2v5OiMUbKJ5loPenFbQvRXuujfJKJ4nHGbs/Mx345iaIxRp79/mHqDrgI+UW++crcXv315WlJBEEhoNEreOPRU2x9tbnX+Uj4rJvk/FpQkaC8NcTJE2G6OkVycuMv6u+403BBGTN33SUvIqKpMUJdXSbMLMMIov3xJ0FQYL3xanQTxtDymz9HT0R6fpDrv/Z9BK2Git//rN++cu68BefK92l56A+osq3k3XsXWdcvx/ZyNFxJP3kCOR/5EF3/eZlATT3qwnxyP3Y7glKJ4+1VKX1d3iOHqDt6GPOsS8hZfg3q7JyU9p9qBIUC86w5mGfNwXPoAF3vvUOguXHQx2Hf27uOR/v61Of3nFt7IsPIw4+XHdJaxgpTmSUsRoGSAD5qpbOyzPUcR5IkRguTu6WQj0v7aKImqXselLYzQZjFAmE5IYIcl/bTTG38CxMYzwRhJqWM6g5LmyMsRULETic7pXVJjTvDhUHJvAsrxAzA3hIg4I0wZVkuJ3dFve81e5xMuyIPvyuCvTUarTF5SS7//e0JTuyMtlFpFOSW6ZK6pxiRkCRQqHpvFEiiROMRD8Vjjdhb+o8U6ajzUTrB1ONY0Vij7DFs3x7kmmvjj/+GD+j44+9VHD068sNQp89Qc+VVWlltNw1A+GBYGTP5i64GhYL29e/0ed48djKFV96MymgmaO/k5D9/e2EFFl5ESMHTLtdIBCQpdqhZHO9JoK4B++srAAg1t+LZthvt6LOu4qwbluNauxHPtmh9n3BbB+71WzBdtiDlxgwAkoRr13bce3Zhnj2X7MuXD3ujBsA4aQrGiZNxH9xH18oVBFt671ANZyZMVlNcrkKr7f2wWvG/aEJlJsxs5OPGQbUU22PXwImYSmGbpXd7HTspHeQkB3sdt9PJVmlln/2ECbFSip+fEW88R6RqjlAdt58MFx/F8y+sELMz1O13Mfu6Al5/JKomVrPHydWfqaRu/1nlzY4GHxMX5VD9bjtao5IbHhiFUp2c1zISluio8zHvpiKajniQJImAN4KzPbqAfuuPp/j0o1NpOV7FnvfaERRQPM6EUimw7X8tAGx4rpHbvzee4zvsnKp2MvYSK+MXZOPqkLcIX/luQJYxo1DA//uumU/eY4vbdjijUMD3fiDfq/jm68nn8Q4rY6Z9Y+8HzLkUXXUr7ZtWYt+zBaXOkDFkMgAQrKnv8bvo9aHQn41hVZcWox1TRda1V/S6VlAqkSLpUUmTIhGc27fg2rkN08zZZC+9ctgqn3UjCJimTMc0eRrOndvoXPEWEbcr/nUD4JK/fyLm+R2ffjJuH7/4Yy7LrzfQ0hymr5qh3cZMJswswwjHkG8gb0o+2WNzMJdZMJWY0Fl1aLO0KLUqlBoFkgRhX4iQJ0TYFybkDeHv8uGsd+Ksc+Ksc+Csd+Jt8wz1y0kKQ56BwtlF5E7Kw1xmwVxqRpulRWVQo9KpEEMiYV+IoDuEu9mFu8lN15EO2va0YT9p604GH86o9Cqso7MpuqR4qIeSFur2OZl6jmfmVLWD/Eo9208bDgDPfPswd/xwPD98bwGurhCrnqjrNj6S4elvH+L2743nW6/NxWMP8cYjJ9n6WvR++1Z38Ncv7OPaz1Vx9WcrEcMSrae8vPe3s17Yza+0kFum5+ZvjEWjV7B3ZQcv//xYn3k2ffHO235++gtLnxtu57Psci0f+ZiBZ0awstlnP2fkkrnyEv/b2kTWv598/vTIebILAuqsbHwN0Zj6iH/k/oEzpJZeUs7nIggotBrs/1uBe/P23temyZDpcQ9RxLVrB67dOzFOmIR1yTL0o8em/b4DQhCwXDIf07SZ2Fa/h33jurS9Vx3vH+3xu1KvxjgqD8uUUo492veO+PksvkLPp29vY8/O2JNhxpjJMBLJm5LPqKtHU7qoHEt5fLlygWhtEo05dniHr9NHy85mWnY00bKzGVdDejcuBoKpxMzo68Yw6uoxZFXFllhXapUotUq0Vh3msjM7w+MB8Nv81K46xal3T9K2p7X/TgYRY5GJ7HE5ZI/NJmdcDtnjooaqXDnmuV+dz9yvzk/L2F668fm0GL1vP1bD24/VdP/eetLLA5PW9GhTu8/Jrz7Uuy7fufz8xm29jr31x1O89cdTvY6f3OXgoVt6rwPOcGBdJwfW9S2zDtFwtNcfOdntTTrDGYMoHm63xOpVAa67Xl6o3He/b+bokTDbt428/Jkrlmv5+oPyvTKvvuw7P8sgIdL+ZJ/wlZ9y4m8PEfa4GPOpb+Bva6Lx9WcwVo0nd/7l1D3/F/TFFZR84C7UZiuOg7tofufFsx0IAqPu+TIqkwUQqProF5FEEeehalpWvopCraHwipswj5sKgoDz0G5a17yBFBn5sYYZUoAkEWxoQl1SSMQ2xPV9JAnP4YN4Dh9EW1xK1qLLMM+YNawX2AqtltzrPoB5zlzaXn4Of538XAG51Pyrb+Wh8jvnkTO3itb3eof+nM9Tf3Zy/a0G/D4RW5fYa1LsbD99IOPNzTBCEBQCo64ZzdSPTcc6Jjst99Dn6hl19WhGXT0aAE+Lm1MrTnLirWM4aoZHPbTscTnM+PQsKpZW9qVxnTC6bB0TbpvEhNsm0b6/jX3/3EPDhvr4F6YApUaJdXR21HAZl9NtuGjM8navM4x8/v2UV7Yxo9MJ/OPJbD56Vxd794wc5cNFSzT86c9WlDKXNoGAxD//MTCDOe2rKH9LA9r8YsRwCEkU0RWVAaArLMXfEp1AfM11nPjbQxQtv7l3gq4kceqpRwCY/K3fUfP0Hwh0npXGK1p+CwqtjuN//QWCQkH5hz5F3sLl/ebdZEgMQRh6VZ0z9VuSreNif/09Cu6/h9ANrXh37wNBgaakCBQKPFt3pnKosgk0N9L20rN0vv0/LHMXYJl36bDOq9EUFFJ2/5ewb1hL53vvIIXSP7F2bjxO5UcWyGrrdkt84lYjt33U1Of5OZXRuUYKhUArLxkxQ4ahomBmIQu+uRDr6PQYMf1hLDIx9ePTmfrx6XQcaOfEW8c5/r+jRIKDX7BYa9FyyVfmMeb6cSkxYvoif2oBV/z2Kho3N7DtN1twNTjjX5Qkl/9mOWWLyi+o4pcZEmfzpiA7d4SYc4m8/E2zWeC5F3P4+lcdvP3m8KgNF4u7P2rgxz+xyDZkAJ59xkdr68CUZdNuzPha6tEVlCAICryNpzCUjUapM6ArLMV5eM+A+hYUSrKmzeXkE79GDEbDS2zVm8lbeFXGmEkRgmroCkFaP3gtluWXdSdt59//caRIhFBzK80/fVh2P769B2j785NkXX8lWddeiRSJEG5tx/HO6nQNXTYRjwfb2lXY1q3GOGESlnmXYpwwKZo5N9wQBKxLLscwbgLNTz9JqLN3gdNUoi0wI4bkeVi/+H9Z/P1RJ2//10PA37/3RQqn1giLeEdmzsFwQgqO3DpTqUZQCMz87GymfXxG2hbwcsmbko8h38DRVw4P+r3LFpWz8LuL0eXEr9+RCkovLePGZ25m8883cmpF/0INA8FUZMoYMhkA+NMf3DzxlPyNCr1e4LHHrTz/rI+f/cSJyzX8Igzy8xX8+GcWrr0uMbU5r0fisT+6B3z/9HtmmusxjZ2CQqPF31yPQqlCX1KBrqCEtrVvDKhvlcmCoFAw6uNf7XFczDwcU0eaq9rbXn0LXu37nP2/72D/b2yjtOnHv+l93RvvYn+jp5iEb9+hXjVqhhXnhKCpLBbMc+ZhmTMPdW7eUI+sF5qiEsq/+DVaX3gGz6EDA+6v6p6FvY6pTFoKrpxE17YaWX2settLR1uE1qbYO8hiMIWxx5LEqZ9+PxO6liElKFQKlvx0GZWXVw31ULo5+tqRQU+Wn/Kxacz+/CWDvvBX6VQs+fFScifksuPR3nkYGTKkijWrA6xbG2DpssSiBO64S88Vy7X88VE3z/3HRzA49M8eo0ng3k8Z+fRnDFgsiW/C/uohF+3tA6/3NyiemZx5y1AZjDgO7gKFEn1JJQqtjpDTPqC+w24nkihy8h+/JmjvP2krQ/IIifgKM6SEsNOJbc1KbGtWoq8ajfmSeZimzkAxjMKjFDodxR+7l/b/voRj6+YB9ZV32fhexyLeAC0rDlD7tLy+DUYF3/llNt/4kRWHXUQ6b2784GVRmemUemYEAYVanVoDKcNFy6IfXDasDBlJlDj+v6PxG6aQeQ8uYOLtkwf1nucz+SNTURlUbHloEwz9WjHDBcp3/5+Td1fnodcnZrTn5yv40U8sfP6LJp5/1suLz/toaBj8MNDxE1TceZeBW2/TkZWVXCTJju1B/vVkasS80r5SDTlsKLV6lBotwa52BKWKnBs/QqBt4DUsJDGCfe82CpZ9gOZ3XiTi96G2ZqMymPE1pT5R+WIk2TyVDKnBV3MSX81J2v/7Cqap0zDPmoth7DgYBrlMCAL5N9+OoNFiX7826W7kSC/HY8V/vaz4b/xJMdW5PoJWCxljJsMAmfjhyd1J+MkQ9oUIekJE/GEigQhqoxq1SYPaoE7aw9GwoR5v++Cphl7ypXkDMmQigQgBh5+QJ4TarEFr0aLUJPf8Gn/LRMK+MDt+n/HQZEgPDQ0RfvtrN9/9vnzFr3MpLFTwpa+YeODLJvbuCbFmdYD31wU4sD+cFo+N0SQwc6aapcu0LLtCy7hxAzMfnE6RB7/mSFlgw6Bsu4ecXd2hGIGOFjRZObiO7e8+X3zt7RgrxkYVywQBY+VY/K1NNLz2VNy+W1a+SsHiaxj9ya+h1BsJu520b3w3Y8ykiIwxMzyQQkFcu3fi2r0TlSUL85y5WOYuGBaiAXnX34To9eLcmfyD3zSmAF2RBYWm95TUtiZ+zP7Kt+QtulLtRVFodURcw1fONkPfCBo1Fb/7Em1/ehnfoZohHYs+z8Csz82R3T4SjNC0pZGWHU2072/H1egiYO8nMVgAfY4e65hsssdkYx2bQ+7EXLLH5MTNyRnMXJlJd0xh8kemym4vidJpSenoT9exTiKB3rvTaoOavKn5FM8tofTSMrLHyZ8vJ989FftJO8dfT413au8T1WitiVevn/+NS+MapLWrTtG8Iz1FjoOuTNh+uvjH3zzMmaPmuhsS/1ycQRBgxkw1M2aq+crXTITDcOhQiCOHw9SeilBbG6a1Nary2WUT8bglQiGph+KnUgUatUBWlgJrtkBOjoLiEiWVlUoqq1RMmqxizBhVylJ5IxF44PMOamtS51EaFGOm7oW/nf1Fkjj88Ld7nO8hxRyDg7/8Wq9jUjhE69o3aB1g/k2GvlHoDUM9hAznEXY6omFoa1dhGDMOyyXzMU6dPqSGZ/4ttxOydeE7eTzhayd/9wPkXTaeQJurz4R/OcbM5x7MYtMaf9w6M2FnatWKhlPot1fKgwABAABJREFU38WAwqiHcAQxRm0pOW3OLOSl8OCHZ5zP5LunoDbEVzYSwyIH/r2PQ88fwG+TqWokRWvJ+Dp9NG9r6j6sz9VTPK+UkvmllMwv6ZVo725207S1MaHXkSwFMwq55MtzZbWVRIlTK06y95/VOGvjS0eHvCGatzXRvK2JXX/aQdmicmbeP4ec8fKMmvn/dylte1tl3Ssetatrkrpu/jcujdumbW9bn8ZnxbgrqZx4Tb/XVW/4Iy5bXVLjOpeyMUupGL+cYMDFwe1P4XUNXf0ea/44pi24DwCfu50da349ZGORw4NfczB6jIoJE1OzHFepYNo0NdOmxZ5TRBEiEQmVShj0QI9f/MzF++tSayRnEiKGOYJaTeXXvkXrC//Bdyo9KiuxUBoyxsywRZLwHj+K9/hRlCYTlrkLyJq/EFWWddCHIiiVFN31Meoe+TURT2LKJDnzR1P91edwHmiK37gf7r7XzNb18Rd4YYct6Xv0hcpsIbNvOXjk33sD7i0H8GzvX8xDThspEKL2i79NxxATQlAIjL2xd87Y+QRdAVZ++V06DrSn5L6+Th8n3z7OybePIygEii4pZvQ1Y6i4vAq1Uc2xQUr8VxvUXPbTZQjK+Fu+3nYva76xks5DyasoNmysp2FTPTPvm830T82M216pUbLo+0t45743B10IYSRRMX45SpUWvUpLUcU8Th54faiHNGLweiU+9Ukbz72YQ1nZ4G1IKhSgGAJ1vUcfcfOPv6VeBTRjzAx7oh+2oSoCqjQYh+S+GRIj4nZHvTXrVmOcOAXrkqXoq5KPwU8GpclMwYfuoPlf/0jouvrntlG4fDKiP0zI4e21aAh2xZ/4JEmiqyO+IkrYbk9obPFQWQdeB6TqxnuxjJ7KyZcfw92QuGfrokEQ0E8bg3tLDAU9OW2GEfnTCtBa4nv31n9vXcoMmfORRKnbe7HloU2ULamgdVd6QpbOZ9bn5mAoiP+M6TjQzppvrMTX6Rv4TSWo/usuvO1e5v9f/BCu/KkFjL5+LCfeODbwew8yjafW09G8D5XGgFpjRK0xMXrKB1Cq0udRls5XX8kQl8aGCHfe3sWzL+RQXn7hhvY//Fs3jz4ycBnmvsgYM8McKRSk5qGfDNn9FRnPzMhCFPEc3Ifn4D60ZRVkL1mGaer0QatbY5w0BdP0mbj3Vsu+JuwNUn7VZEpunNHn+XXL4++gr3rLx/zFWmpOxE7wDzvsssclh6Hwgo00sm9dhuWKOSizzd11q0SPn6afP0XgeAMApkXTyb51KerCHMIdDpyrd2B/Y1M0FgIo/dGn0VQVo9BpKHrw7u6+ba+so+v5lbLbAIx64tsoDDoQBJofehrvriM9xlv+2wewv74B/ZTRGOdOQgpH8O05Rvs/3kD0nvX+yXld8cidFF96vX1fG42b5fU3UCLBCLWrTg3KvbLH5TDhtklx23la3Kz6yrsEnKn1gR599TCWyiwm3zUlbtuZ983i1IoTiKGRtVCPhIN43W09jlVOvCblxkzd0feoGH8Vfm8XTac2pbTv4cy85d9Gq7ey6e3vEgkPLB/zjEHz5L+zB5xcP9yIROCnP3by5BPpExS5sN6xDClHacx4ZkYqgYY6Wp79F+q8fHKuuArzjNmDYtTkXvsBPAf3I4XleRNHfWoxtU9voW3VIcRgch7Ixx928NBjeeQVKNm3O9ircObWDdFFaNie4jAzqzWl/V1omJfMwPqBhTR872+EmjqwXDWXvI9dS92XHybiij7YDDPGkn/fTbT//X8ETjSiLs6j4P6bEZRKbK+uA6D55/9C0Kio+vv/o/X3L3QbIOfmvMhpA3Dq3p+j0GoY9a/v9TvuvHs/gOONTTR+96+oci0UPHA72bcupfPpFbJflxws5Za4bRo3DY4hM9jM+NTMuF4RMSSy7v+tTrkhc4bdf95B2cIyLJVZMdsZi0yMunoMJ94ced6ZwaDhxPs0nHh/qIcxqOhN+Wj11pT22dQY4ZabOvntw1lcc23yogDDCZtN5IHP29m4Ib2qn0NuzBizlISDEgHfyNrxGCg5V1yFZe4ClGZLd+K26PfR9MRf8NdHE/JGf/9nKHSndxCf+juewwe7r9dVVFL2uS9T98ivCLa2dB/XFpdQ/qUHqf/D7wg0RR+C5hmzyb58OercPMJ2G87tW7BtWNe969kfCp0ehXZkf6Es2gLmldyB3d/MjuaXkupjlHUuE3KXcty2ieNdI2/XKdTRTusL/6Fr9XvkXnND1FOTRtTZOWTNX4h9o7yHW8f6YwQ73QTak1cFe2tzCQDTZmn6PD+nsh5IfZiZOjc/pf1daGjHV+A/0UioMRoi5V6/h/xP3Yi6NJ/I4ajiZPZtl+NYsRX3hr0AhJo7cb63HctVc7uNGTEQRDg9X0mhMKK/94NRTpszSHHmvsDJJrpeWAVAsKEN94Y96CZUJPS65KA29f15PRdPW+rjy4ca6+hsKpZVxW134Jl9dBxMPkcmHpFAhJ1/3M7lv14et+34WydkjJkM3WTnj0tLvx63xOc+Y+dzXzDyla+ZUKuHQRmGJNm+LcjXvuwYlDo4Q27MfPL7FWx9x8b29+xDPZRBwzxrDtbFy2j48+8JdrSTNf9S8q7/ILW//jkR79kH18kffweFRsPoH/2yVx/+ulqCba2YZ19C59tnldzMs+cSbGnqNmQM4yeSf8vttL/2Iv6GejR5+RR86A5QKrGtWdmr33NR5+am6BUPLRIQkTK1QEId7bQ88yS6iiryb/4Q2uLStN0ra9Fl2DetR46IvFKvZvzXrmbsF68g7PL3ypnZdk/8HJxl0+QpL4nBAGGHPWXhYdqi4qi3K87i+GIl1NCGacEUVHlZhDsc0bCtYIhQ09kFqqa8EN34CrJvvqzX9YJSiRQZfMWxwImenyfR44+Gpp1GzuuShYyccjlKZyONibdPiisNHfaFOfhs+nOfGjbU4+3wYsiLHVKdP7UAS2VWSpTNMox8rHnxhTuSRZLgsT96eG9FgF/8Kos5l4ysOcDjlnjoFy6e/rc3ZXVk4jGkxoyggGkLLWx9J7WhH8MdXUUV/oY6gu3RWFbX7l3kf/A2NAWF+GpO9mgbawfRtXMbWYsuo/OdN6OffoUC88zZ2Nau6m6Tc8XVODZvwFW9C4guaB1bN5M1f2F8YyZn5BszzkAbq079YaiHMazw19XQ8MeHsS5eSs7V16dF0lmdnYNx0hQ8B/fHbdu2+jBtqwdW08LllG9MBBrqU2bMCGo1mrx8gm2plyIVFAoqrv0YWeNmYD9WTf07TyOJIubKiYy6+TPUv/csnsaTFC28AVP5WJRaPSG3A8fxfbRueQcx1Ds0R2PJoWDucsyVE1AZLEQCXtwNJ2jb9h7+znOTvgWmfO5nBGxtHH/uke6jRQtvoGDulXiaTnHixbPfq+IlN5E/exlHnvoFAfvZRHXnyu3oJlRQ8ejXEL1+wp0OWn77LBHn6U0bQUCh09D1/Cpc63b1Gu9QGDIAUgyvDsh4XTIJOOMr8OUkUBtlJKDUKKm6alTcdkdfPdx//ZwUIokSJ14/xrRP9p2zdy7liys4ULsv7WPKMLxRKjVY89IvsHPsWJjbb+3kzrsNPPAlI8Ulw1scIBKGl17y8cjv3LQ0D+7cnZQxc+09BVz90QLyS7X4PRFqDnn554/qaDp5duJZ9IEcbvl8MYWVOjqbAqx6voM3/9mKGImaaT98diJVkw3oDAq+/tjY7utefayZ5x+O7or95q0pbHnHxkuPnpVsve1LJSy4NpsHr4/u2Pzu3an89/EWZl5mYfYVVgJekXf/08bLf2gaNIswUYJtrZimzUBlzSZst2GcPBUpFOo2buTi3LWDnGtuwDB2HN5jRzGMm4BCb8BVvbO7jaaoGF1lFdnLrux1fbxdzwvBmMnQN5IoYnt/Dd6TJyj+yMdTosp1PuYZs2UZM+3vp6YonVz8jfUYp0xLWX/aktKUGzOCoKD8mo9GDZkju6hf8Z9eKkGWqskUL74JJBFPwwkUag3G0tHkz16KPr+Ek6/8uUd7Q1Elo27+LEqtDm9LHZ6mU6hNWWSNm07WmKnUvvUUzpNndsIlfG0NGIoqolXZTk+mxpIqkCT0BWUICkX3Zos+r4RIwE/A3tszoR1TRvNPn8R3sI/EckkiUNuCpryAcGecGkCiBJIUW8ZXTpsUEfN1ycTXEV+dq+KKKnY8uo2g68LwLpctKkdjjp+AfuLNwVP2a9zcIMuYKV1UxoFnLm5jJr90JhNn393v+SO7n6OtoffGhByy88dRUDYHc3YFGq0FpSp+GObeTX/B0dl32Yozc6YgKCgom01+6UwM5kI0GhORSIiArwt7x3GaTm3C7+3q9x6mrDKy88dhzCrBaCnGYMzn3OIsC6/7ab/XNhxfy6lDb8V9Hf0hSfDsM15eesHHHXfq+dwXjJSUDi+jJhyG/73m49FH3NTWDs0GVMLGzOR5Zj7yzXIeeeAE9cd8WPPUTLnUjK31rIrQjCUWPv3TSv7+vVpO7PNSMkrLZ39ehVIt8Nqfo7t/v7j3KBqtgr9tn8mjXz3JrtV2AMKhxC2QT3yvnKcfauDF3zcxfraJT/24kvaGIOte6flglVJs3QiK5D5Qzq2b0FVWUfmN7yD6fYQddpqf/mfC9TkibhfeI4cwz56L99hRLLPn4jl0gIjnnF1PjYau997GuXN7r+vj7Xqq8wsTGk+GkUegoY6Gx/9AyafuR5NfkNK+DRMnIahUsoUABsqiZTomTtOg1faOX3nsN2dDQwKNqU2o1pZVdHs+B8KZ+SlqyNyNdfxMbId30vDus33KnWaNm4Hz5H5q3/pXt3S7xpLDuLsfxFQ+DkNRJd6WaP6GQqWm8oaPo9RqqX3rKRzH9nT3YyiqZPSt91NxzUc58u+HCLntAPjaGjCVjUWTlUvQ3oGgUKAvLMd56gCW0VPR5ZXga4u+l7r8EnztDZwfN6XKs6IuzCZs6z8fyvbiaoq+fhfBhmV4th4EhYCmvBBBqcD1fvXZ9ycSIdTShWnJTAK1rYCE6A8SOadvOW2AbvWxZI0eOa9LDu374m9gaUwa5n/jUtZ/f92A7jVcKF1UFreNt8OL7Xj/i8tU03W0E0mU4goS5E3OR1AImZozKUap1DBh9l3kFsVXluuJhCT1v46JhANodBYmz/04Zmt5j3MqhRKVugSjpYTiqoUcq36RtsbdffZTMmoRheVzEhxbagmFJJ7+t5dn/+Nl6eVabv+wniuXa4c0p+bkiTDPP+fj5Zd8dMoojZBOEjZmtAYFSBK29hBt9QHa6gMc3d1zEf6hL5aw4t9tbHw9Ohm11PhZ+Vw7V92V323MBHxid5h5KCDi9yb/Ruzb5GTVc9HQhqZTfibNM3HNR/N7GTOIqbUYBVXyUXq6sgqa/vF4UhXTz8W5YxuFd9yN0mjEOGkyLf/519mTkkSguQlNQVFSkrS6svgPnXQhCAour/wcaqWOtTWPE4j0Dt8QEFhWdT9apZG1tX/FH47u7GqUeq6o+kKPtjZ/I1sbn415T4u2gHE5i8nWlSKgwBls5YRtCxEp9mJcpdAwyjqPItN49KosIlIYh7+ZU/ZtdPr6rq6sV2UxJnsBeYZKNEojYTFAp6+OE7YtuIPpS3jti7DDTtPf/0zZ57+cUqlhhUaLftRovMfS73n55BcsfP7rWRw7EmLcBDXHDgcprVChUgm8+mzP+SnQUJ/SexvGTUhJP1IkBIJA2dV3YZ0wG9vB7dSvfK7fvCNJFGlY9UKPGlRBZxeOY7vJmXop+sLybmMma/xM1CYrjmN7ehgyAN6WWtp3raNw/tXkzVxM84ZoDt4ZQ0WfW0zQ3oEuvxSFSkPX/i1YRk/FUFyFr60BtdGCSm/C19r7fY3Y3QQb26l45MvRA6JIqLWLzv+8h2dbVNDEs+Mwzb/+D9m3LiX7lqVI4Qih5g5sr63v1V/bn18h794PUP7rLxBxeel6biWudbtlt8m5YznWDyxE0ERj0IsevDtqADW0U/9/f4r9B0rwdcmhfX8bYX8YlS72s2TUNWMQQyKbf7lxxMkDn0/xvPi5ek2DrOAW9oVx1jnIqrLGbKfSq7BUZuE4ZR+UcQ1HOpv3s2P1r1BrjKg0RtQaA+XjrkRvTD6S41xDJhIO0HhqAx5HE6IYRm/Mp2TUQnSG0+GWksSR6udxOxrxezoRxf6fz5IknWPISLgdjXhdbYhiGIOpAEtOJSCgUKgYP/PDeD3tuO29P3vtjbvxOM9GCCmUKqomXtf9+6lDbyH1s7502VP7vIlEYPXKAKtXBsjOVnD5lVouW6plyRINObnp9UiLIuypDrF2TYA1qwPs2xu7FMJgkvBqvPp9B2te6uAnL07kxF4Pa1/qYP1/uwgFzk6w5RP0jJ9t4ub7i3tdr1QJRMKp3dVoON4zrrb2kI+5V/UOm0n1DnGyxowqOxt1Ti5hZ/xEwu58hn68QN4jB5GCIXKvu4mI34/naM/cg66V71D80U+S09aK+8BeEAS0hdGkZdfuHf3fV61GM4SeGUkSaXYfojJrNsXmSdTYe48111CJVmmk01fXbcgAhMUge1vfRK3UY9LkUm6JHz5g1RUzt+TDKAU1jkAL3pAdg9rKJcW30e7t24UNoFUamVd6B0Z1Dt6QnXbvCdQKA7n6CvIMVRxof496Z8/Fo1VXzCXFt6FSaHEEmrH5m9AqTRSZJlBoHEd16/9o8/R/z3QQdjpo/tc/KPv8V1KaQ6OrqBoUY+aWu4z8+JtdvP6ihzV7Srn7+lY0GoEfP5xDQ13Ph0zE6yFk60KdnZpcBE1BISpLlqzvcywiAT9lV9xO9sQ5dB3YSsOqF2IKKPjaGwh7e3tzg65oDqLyHCVCU1k0lNdV23dukqvmEIXzr8ZUfjap9YxxossrxnFiH8biUUiSiLv+GEGXDUNRBZ17QJcXVZLztfV8aAsqJaU//QzeHYdp+fUzSKEwgkqF6dKpFD5wG6fu/TlSKDone3cd6VXvpS/8R+po+OZjSbfpen5lj5ozfVH/9d45dl0vrqbrxdUJv654iCGRmndPMvam+MnEYz4wjryp+ez4/bYRK9dsLjNjLIwv999anfoctHg4TtnjGjMA2WNzLmpjRhTD+Dwd+DxnN90Kyy9J2pjJyh191pCJBNm17uHzQr4O0Vy7mZmLv4DRUgKCgE6fLSuULWqsgNfdxuGd/+lhkACYreVMmfdJ1FoTgkJJ5fjlHNj2ZK9+bO1HsbWffY6p1PoexkxzzaYB15lJBptN5JWXfLzykg9BgAkTVUydqmbSZBWTp6gZM1ZFbq4iqYoMPp9EY2OEI4fCHDgQ4sD+MHv3hLDbh+dmSsKrcUmEJ35Yx3//0sLSW3O57Usl3PSZYn5w52EcHSEEBej0Sl54uJG1r3T2un6ghozO0HuhpVKd52YT+l4DiDIfMHJR6JMrKBlxuQi2tVL59f8XPSCKhLo66XznzajBAeRefT3WxUsR1NEdxOKPfRIpEiHY1kr9o7/p7kuKRHBV78S66DJs76/pparkOXSA5n8/QfblV5F9+fLoLmR7G7Z1q4iFtqR00Aot9kej6wCVWbMpMU3u05gpMU0+3a5nXoYoRWhyHwKi3hY5xsyU/GtQCmqOdK7jlP1sSF6peSrTCq7t97qpBddgVOdw0raVY10bkE6H2Vi0hcwvvYvJeVfS6avBG4oudJWCipmFN6FSaKlu/R8t7rMTpFVXzNziDzO94AY21P8Tf3hgISyJEmhqpGvVCnKvvj5lferKK1PWVyzyC5VUb48mvEcioNUJBPwSf/6tgz8/U8Bz/+z5XvpOHEN9yfyU3d8wbgLOndsG1EferKXkTF2AJIl0VMdXggt7+skx6Q6BOTsvqo3ROhpnDJ3zCZ0+rjZbu48F7B1EAn50udFNKUNJFYGuNsRwCF9LHYai6N9Wlx81ZrzneWY0FUVoKgpp/O5fEQNnH/Se3UfJuesqlCb9gMO0hoJUv64Dz+xj7I3j46p7AWRVWbny4atp39/G/qf20rChfkSFPOWMl7fgddYPvmJY0CNvl1mOMZZBPnnFU7v/3Vyzuc/cFTESovbIu0ye+wkAcounUncs9hrmDOGQj32b/0rQ33u+dNnrOXngdSbMvgsAa/54BIWyXy/LcEaS4PChMIcP9VznKlVQUKCkqEhBdo4CnU5Aq43+qJQQDEoEAhJ+P3i9Eu3tEVqaxWFrtPRH0nFSnc1BXvlTM28+0crD705lyc25vPH3FiQRag97KRunp6sltqUqRqSoCJey71nc645gtPQ0Xiom6Hu1Kx3TsxZK1SQDLTW9VVCkcGpdYkqzOeFrBKWSss99udvIkMJhBJUS07SZFN7xETw/PogUDtP57lt0visvaazjzf/S8eZ/+z3vOXywR40aOQzWIjQWzkArrmAHFm0BJk0u7uBZ41gpqCk0jiMihmh1D0z7P0tbhFmThy/k6GU0Nbr2U5k1C4u2t5fKpMkl3zAab8jWw5A5M/ZG534qsmZSap7Gsa4NABSZJqJTmWlxH+lhyADY/c2ccuxgbPalVGbN4kjn4Bchs69fS9b8hSkLN1PnpTYPpz9snSJ5BUrqa8I0N4aZNE1D9fYAXo9Edl5vo9xzcD+WFBozxinTBmzM5E5dgPPkASyjp1B1470cf+5hwr7+1bHi1UrpC6G/FbPQ13EJX3sD2pzoZ9/w/9k7z/A4qrMN3zOzvWrViyXLRe6944IxmN5rIBBKEkICgZDeky8JaYQQICEESIDQQwfTjHvBvfdu9a6VtteZ+X6sLVlWW0mrYqObi8vSzpkzZ0azM+c5b8scjLc4ds/6K4uxF0xE0hsxpmQhhwKEXc0Xr6I19ajhCPZLZ+FeuQ1UFV1OGsk3X0joWPkZKWQg8eflKnRx8O39jLxhdNz7pI1LZ8FfFuIpdXPwrf0c+fAIYU/PFJZMJI44M7N5SjpIBtEDRLzxrawPiJnEYrQ0vSN8rvI223ldTdkWjZb463uVHVvTqpA5SW3FbkYoNyGIEqKowWROw+epbLN9b2KeMQXbgnlU/PnxLvchR6GiXKaivH2BNvjvf6b8j38jUt4/zr2zdHrpfebFDhbckEr+aBPpuXomn2fHbNc0Ew9vPlHOrEsdXHdfFoMKjOSNNDLnimTmXdN8VUaOqlQVBTn3mhSyhhjIzDeQlNaUT/vQVi9zr0ph/Bwb2UMNXPWNTEZMsbQY07jZNi66LZ3sIQbOuz6Vcy5PZsmrNS3aoaoJTfWp6YKY0WVlo8vMon7FEiJ1tURdDUTq6vAf3I+g1SKZumbtSTSmEfG/WHuSk1aXk1aYk2SYhyOJWip9B5HV7olUuyETAGewpJkgOUl9sPUaJinGmOCrC7S+nyccuwdt+qaHdbIxFoRY6y9stc9a/7Fmffc2ajSKa8PnCetPk5TUxkQ5sWzbGGLeBbGFjtVLA/zyzw5uvtPCz//o4NihlveH/8hh1EjiFjdMI0YhmVs+mzpD8WevUrjoP9RsWY7Olszgy+/scpKR0wm3Ynk5Fa0l9nnE09Ds80B1CTp7CpLBhM7qwF9RCIC/KhaLY0wfhD4lszG+5lRkj5+Kv7yCadoo8h57kMFP/ZD0e68nXFxFxZ9ebNH+TKEnzmvr3zd3qX6JdZCNaQ/O5MaPb2bu/80nc2pWXBaeviJpSFKHbSK+CMH6nk/JfDrhOMWM3t5xJrYB4kcQmp5xstz2M1lRmrYJQvxT19ryXe1uV5Qo4VCT2NHo+sccrD8iGvSkfOVLfT2MVum0ZSYaUbnkjnTSc/VoNAI1ZWFe/2sZW5Y2NLbZuqyBv3zzCNfdl82138oiGlWpOBbk/adbKr6nflLIXb/O4+FFY/A0RPnfo2WsOuGe9vaTFdjTtDzw2FC0OpGtyxp47v+KuOruzGZ9fPx8FaOnW7j1R4MIBxUWPVvZMvj/BLLPh8Zm6+xpt4qmCz73UacTNRLBPntebCVXVdGlZZBy8WWEykqJunt/Rep0RJ0O45Cez6EeDxWe/YxMmU+WdTSHnE0BwdnWky5m3S+qppNiK22haOur4K0lHwAwaGJiNtc2gVzbhDb714pNlkODJjbhDURb/zsHTriWney7L/Ds2EbKxZcnpC9BktBYrEQ9PXtfP/OYC583Jihf+beHEWN0PPDTJEqLo/zmBy3dFtRIGP/Rw5hHjWmxrSsIkoR10hQaPu+6NS3qjU1mK9Z9hD45A9vQseQsuD4WO9NNvMWHSB47E2v+aJx7N7bYbh0SW7zwlja3cgaqShE1Wmz5set0UswEqkpRFSUmZpJSqdvZugAO7DpK2a7ejf/qDRJ9XtFglOXfX8LF/7oMYwfFG1tD0kkMvXQYQy8dhrfCy7GPj3Ds06O4i/tXgUdTRseCX2vWcvvGr/bCaLqGpO/zWuNnFSG/ExgGgMmaRl0bhgHTKRac9tIon4qiRPH7WlnYPr3dKUlUErWAdDaiHzEcjcPe18NolU5/K7cub2DriTTK7bF9pYvtKzt+kB7c6uUnV7XuAhXwyjz5g5Y5/Fe/29ydIRxSePw7x1q0aw3Z406YmNGlZ3bc6PTj+31UvPQfkhdeiuO8hQgaDVG3C/+hAziXfpqQcXUX47CCbmVqSyQh2Uet/zhppqEkGwfhDJSik0ykGAcTiLhwBhKXKaQ16wq0ndL7pMuOO1TdaIVpDX+koeW+bVgr+sOiarShnkhdLdqU1IT0J+j10MMeRcXHm15Gfp/KD+/pOCOcb//ehIkZANu0Gd0SM42oKsWfvszwmx4gedwsgnUVsRiabuA6sotQfQ324eNJGjGJhkM7GreZMvNImzQfJRpuIUpOWlzsBRORQ0GCzlgqYSUaJlhXgSW3AFGrx1+d2Iw9X0TcJW4+/tqHLHj4ApJHdj0zlCXLwoSvTWLC1yZRs6eaI4sOU/jZMSL+vs88ZEo781e9O8o8N0DnqK3cQ0bedACy8+dQUbiBaKRl/aXcgvMbf3ZWxuc2Hwl5O4w97E9Idhspt96Iflg+0bp6Anv2N9tuHDuKpMsvQpORhhqVCezZj/O1t1CjMY+j013FLLOmYZl3DpV/+TuixUzKrTeiTU9Dk+JA0GgIl1VQ/c//ILtii43GMSNJ/+ZdiGYz4aJial/8H3KDC9FiJu3rt6MblIWg1THoT78CwL18De7PVgAg6HQ4rrsC04SxIAj4t+6g/r2PGxNvmSZPwDR5AsEDh7BfdiGS2Yx72SoaPlyckGt3VnwrOzMBjLpd6HMSk3JYl9F5MQPgP3yoVzI8dRXz2LatDH1BmWcvaaahZFnG4AyUkmkZiSCIlHm7b5UBCMt+APSa1n2hdVLLOC2gMUDfFapgb82SuI510iJjkFq3vJy0yPR28P/phKsqEyZmRG37hc+sIzLwHOr97EW+/Xvg6usTluhCl5mNaeRo/Af3d9y4A5RIiMJF/2H4zQ+Sde7VBJ1VjfEqXUFVZIo+foGh136LvEtvJ3XKeYQbatGYbZhzhoKqUvLpK4TdzVc8TyYBsA4edcJq0zQx8FcWkTw2FnfUWlrmATqPr9LLJ1//kIl3T2bsbeM7rHvSEWnj0kkbl870B2dybPFRDr61n/rDvVe/5XSMKa0/S88khDZifAfoGs6qA7idhdiS89EZbEyZ/11KDi/H56lAjkYwmlPIGToPW3I+AOGgm9KjK+PqW2nHba0/knzzdSiBAKU/+S2S1ULGA99ACTS5XEZr63C+8S6h4jIkm5XM738b87TJeDe0nZn2JElXXIzi8VL+9AtokpPI/tWPqXn2xUYhA2AaP5bKv/wdJRQi7eu3Y790Ic7X3kbx+qh67Cms8+dgmjiWqieeaTn2G69GNBgo+83DCJJI+j13Yb/kgmZixThyOHKdk/LfPgyCiGRO3OJG36ar6gMS6caldSQjWfrOHagnEPV6LOM7zv7Vm1T7jhBRgmRaRiAIIpnmWBrT8gS4mAG4grFVjGRDbqvbkwzZrX5eG4jFDaQY8+L24a3zx/ZJM7fuxpdmin3eVn2a3qKzBVzbpYMJ2ZR/3sa0f99J7k3T0SUnPrj2mf+1noRA9njw7U/MPXSS5PMvSlhfYbeToo9eAEVl8GV3oHfEH/TaGsHaCg6/+gh1uz5Ha7JiL5iIITkT95HdHPnf4zQc3tHKXrEkAIIkNdasOYm/sghBlJCD/hYiaICuI4dltj25hUW3vUfF5rYDojuDxqhhxDUjufLla7joqUvJmd37NcQkndRtcTbA2YjKvs3/bazHojcmMXzCdUyccx9T5j/I6GlfaRQyAV8Nuzc8SyTs78Px9hCiiGncaNyfrUSNRIg66/Gub17sPFJVQ6iwBBQFucFF6PBRNKnxWXF1g7IJHo55MEWdDUSd9WjTmi9YupasQPZ4UcMR/Lv2osuKrzyHIElYZk2j4ePPUEMhFH8Az+cbME05bWFcEqlf9ClqOIIaChF1tp5dsyucFZaZziB3sxbE6RiHDsO7a0dC++xLrJOmIOraX0nvbRRVptJ7kFzbRDLMBThOuJudTHfcXVyhCrzhOiy6FPKTplLYsLVxW7Z1DA5D60XevOFaqn1HSDcPZ3Tq+RysXdmswKYoSKSahlAfKCGixDINVfoOMTxST4a5gCzLKCq8TXU/7PosBtunIqsRil07EnJuXSWRiTKUUPtZlrbe8yIZF40l96ZpDPn6POq3FFL52V7q1h1FCXc/nfrEaW3fz64Nn2MeO77bxziJIW8wpoKR+A93XDPlJIWLnmtzm6/sGLv/8cNmn3mKDrDr8e+1uU/1lmVUb2k9bWnE56ZsxduUrXg77vEde7v1mi31+zZTv29zq9sG6D4NR+tZ8u1PyZ6Zw6R7ppA6tnti9iSZU7LInJKF85CTHc9so3RN7yycSPqBWIQBWicS9rF7/dNMmvcAJks6ihKNLRCqKpGIH5+7gtry3VSXbTvjrC3xIlnMIIrIrqZ5zalWEwD90HzsF5+P5LCDoqJJduBZs77tTk9xZ49W16LPz8W3eRuSzYpktxGprm7WXK5vaPolGoU4a85JdiuIIlk/eqDZ50qw+btfbnC3KB+SKM54MfO9i/Z03OgUwlWJTTtnGj7irBIztunn9PUQWqXMs4dc20RGJM9FQGjXKpNuHoZOMqER9Zi1sSQNRo2NYY5ZRJUwUSXUmPb5JHtqFjM9+yZGpSwgyzIKf8SFWZuMVZ9GmWcPOdZxrR5rd/WnTMu+gTzbJDLNI3CHqokqIQwaKxZdChpRz6qiZxvFjKoq7Kh8n+nZNzEx4wryk6bhj9Sjl8w4jLmgquys/ohAtG8Dd0W9oeNGcaJ2IGa8R2vwPrWSY8+sJnnmEDIuHMuoH1+KEopSs/IglZ/txb2v+Qr1pOnxZRSSpFbqUJ2C/+hhwjXV6NISl0I69YprKHnikYQKwgG+uJRvLKN8YxlZM3IY95XxZM1o3VLcWZJHJHP+Iwup3lnFpr9uwHmwZV24RCLpBsTMAK0jSlrGz/oGJks6XlcZezc932465bMR2esDRUG02WI/A6KlKWGGoNWQcf/d1L32Nr5NsYKhaV/7SrM+VFlpVvRasjcF69d/8AlZP7wfw6gRoMjUv/U+0brmlpG24oNPadH62F0eUBTKf/8o0dqefY60xRkvZjpLqDIxZvuTmMeMR3jvrS7VfOhvmEeNSVg8UaJpCFbgizgxa5OR1QiVvrZXvsekXtiYNewkBo2VguS5jb8XNmzhQN3KU/ovZ2PZaxQkz8VhyMGiS8UdqmJL+ZsEo942xUxECbKx7DVybRPJsowmyZCNKEiEZB/1wTKqfIcJyc1dtjzhWj4vfZFhSbNINw/FpksnogSp8h7iWMMm3KHejx85HcnSvTTDp9KRZeYkqqxQt+4odeuOYh+Xw7B7F5B1xQSyrpiAv6iOolc2UL08Zsn6z1sJEh+qinvjOlKvuCYx/QG69Awc5y3EuSwxgY0DDABQsamMik1lOIYnM+rG0Qy5ZFhCgtHTJ2Zw+QtXsf+1vWz/11bkcM+I8DMoDnuAXiZn6DysjjwADm57rd8LGUU5vTClATkaX2rvdjolsGc/9gvPo+7VNxFNJiwzpzYG0AsaLYJWS7Q6tgirz8/FMLqASHVT8qFIZRXmKRMJl5ajSU3Bcs60RmGky80hUltH9RPPdHmhTW5wo81IRzQZUfwBBI2EGpVRZRnv+s04rrmMutfeRvEH0CQ7kGxWQseLOu44AXzhxEzEWYcSDiHqEpMrXjKbMRaMTEjQb58iCCQnsPJ7T7CmuG13nFNZWfSvLvXvDlWxtaJ195tPjz7S5n6KKlPk2kaRa1vcxwpFveyrXcq+jpNu9Qm6zKyE9KOEgijh+MSMZNSSvmA0WVdMwDI8nbp1Rzj27GrkQJj0BaMY+f2LMeY4KHopZla/YnYFSgfVzzUagQ/Wtn8u7q2bSL7o0oQ9EwAcCxbi3b2DcHXfC9MBzi7qjzhZ/8fP2fqPzQy5eBgFV43oVvYzAEEUGHPrOLJmZrPyx8vwlCY+AYkcis9lNOwN46tIYMxegvGU9u+J9pmII60AiCUqCfj66UvxFBQ5giyHkaSYC7PZmpkQAVb3+juk3HYTg/70a6J1Tjyr12GZPSN2zECA+vc+Iu2bd4IKoaPHcS9dhaBtqs3ofP0dkr98A3nnzSFSXYt7yUrM58QyxaGqGIbmk/vIbwEBJRjEtXgZnpXx15Xz796HafIEcn77M9RwmIYPF+NdFysW7XzzfZIuv4isHz+IZDERdblxfbJ0QMz0GKpKuLISQ17iihLaZ84+48WMdeJk9FmJcV8Y4MxG60hGY01M+vJ4JvOWYWlkXTGRjAtGo4SjVHy8m72/fp9QTdOEynOgEtfuMkZ890KKXlqP16NQURbn5CjUvuBRgkEa1qwi+YLEBe8LkkTmbXdR+uRjKKHeLwA4QHwsXpbKJx8FeezR/jt5bouwJ8zBt/Zz8K39JI9IZtgVIxhy0VAMjq67iDqGJ3Ppv69kyf2fJjzrmRyKbzW4emcVy78XX3bIAc4OTsbBCKLEkDFXUH58DaGAC1Xtvx4vbmchjrRYMqL80ZfidZURCbdeky5eZJeb6if/3eyzU2Ni3EtX4V66qs39Q4XFVPzh0eb7r92ALieb5Juvo/TnDyG7Y+9VbXYWWT/5Dp7V60FRKLr/x832827Y0jJLmqJQ+8KrrR5bjUSof+8j6t/7qNXt/u278G9vv4Bpd/jiiRkgWFyYUDFjHjUGXUYW4aqKhPXZm0gWK6lXXNvXwxign5DIgPhITXWHbaY+fTvu/RUcfmIp1SsPNebMPx3v0WpEXeyRddms+L9r777e8QumYfUK7DPPSWh2Ql1aOpm3fIXy//57wMdmgB7FeciJ89ENbH1iE4Pm5VFw1QiyZ+V0KXuYwWHggscu4sPb3iNYnzghrkQVosFoh65xWqO23e0DxIdOb0GjM6PRGJC0hsZ/Janp+qZmjcdoTkWOBolGgsjRENFIgFDQhaq0fA5rtCZ0ekuz/jQaAzpDU2xGUmoBICBHgyf6DSFHA4SC7jaD9yuLN+NIHwVAztC55Ayd26KNIkcIhzx4GkqoKt5MfU3flrcoP/55o5ix2HOYdv6PcNUdJxxyI0laNFojOoOd8sJ1VBX3baIUyWYBRWl0LxM0EoYRw5AbXD0WkN/bfCHFjP/IIZLmzk9ch4JA8oUXU/nyC4nrsxdJv/5LSObEp8Qd4AxEELDNSFwSiHgSbmz91st4D3dswYnU+9n905gboM8b/wP44V91nP5RCYdwLltM2tU3xN1vPJhGjibtimuoWfRuQvsdYIDWUKIKxSsKKV5RiCXbysgbRlFw9Uh0ls5lqDSlmjj3oQUsuf9T1A5cOTuDv9qHLa/9CuL6pMS5e36RGTP9zsY4lLYYNKz1edDOz/+J21nY4vNh468mPWdyu31m5E4lI3dqi88P7XiDqpLW66E4qw9QU7aDtJxJbfYrSloMpmQMpmTSsidSVbKFQzvf7LOFImfVfooPLSVvxEIANFojKZktizBrNIlLptNVAgcO49u6k6yffBdBI4GiECoupfqp+Fz3zwS+kGImcOwoajSa0Cr3lrETElYwrzdJmjs/oVXQBzizsU6YnNDMXv6jhztsE4+QAZCDEVx7yro7pDZxb9qAffa5CT1/APvseSBJ1Lz/9oCFZoBew1vuYesTm9n57A5GXjeKsbeNw5Acf9HKzGlZDL1kGEc/PpKwMfmqOhYz5szEJR8ZoP+TlX8O+aMuRqM1oaoKQV9dzDJ0iouZIIhotAaM5jQkTUzsZuROw+sqo/x4/DEfiabo4GfU1xwia/CsxqKfAgLRaJBw0I3PXYG7vndiRtpFVWl4/2Ma3v+4r0fSY3whxYwaCRMsLsQ4dHhC+027+npKnvgrSjCQ0H57CuukqaRedlVfD6NfYJs+CyUQwLdv91mRma4rSCZzQrN6yV4vofL4xEfyjCFYCtKRdC1dTI4/vzauPuacZ2DUeB16fUvXmn8+0nGqa1VRqPtkEVm3fy2u43UG+8zZiFod1e/87wuXslmyWLFNm4H/0IG474fexGAQ+NsTdi680EA4orJqZYhf/dyNx9MkPK+62sB9D1jIz5coL1N47VU//3nWx8k/Zf4Qie9818KsWTqSU0SqqhRef9XPP//R5OJos4ns3JvO7Jk1fPf7Fi69zIAAPP+cj7/+pedidqKBCHtf2c3Bd/Yz9rbxjLt9Qtxpksd/dRLHPj2aMOuMt8wD09tvozVpMTgMCXVx+yKyY+0/Et7nwW2vcXDbawnrb9Dw8xgyOpZ4yFl9gCO73iEUaGizvSCI5I++tNGilJk3o4WYaag5zJpFP+rUOLas+EvnBn4Kbmdhq1asAXqXL6SYAfDt3Z1wMaN1JMd85F94tt+vwJrHjCP9hpubFVX6IqPPycU+8xyiHjfuzRtwb9pA1NXQ18PqNQRJIuPmryQ0JbP/8MG4vgd5t8wk/645+I7XYB6Shu9YDYYsO6JGpOKj3XEd6677bNz7fTuHD0YoGKnl8IEwOXkaNBqBd1+Lf6Lo278Xz7YtWKdMi3ufeLFOmYYuPZ3KV18kUp/Y4Op+hyBgHDoc+4xzMI8djyBJhEpL+npUrXLHXSaefdrHtVfVkZUt8dgTdu7/joU/PBQLlD13vp4//MnOz3/qYufOCEOHafjzX+xotfDk32NixedVqapUeODbLqqrZaZP1/Gnv9jZtzfKyhXNs/k9+VQS770b4OmnfKSkiMhy77wrooEoO5/dTuGS45z35/Ox5yd1uI8t10b2rBzK1pUmZAx1B+soiKOdoyCFik39T/gOkDhESdvoohWNBDiw9RXkaPuZL1VVofjQEgYNOxcQMJpT220/wBcHsa8H0Fd4dm7rkRVS04hRpF19fb8WCUlz55N1213NiisNEENjtZF8/kXk/+gXZN3+NSzjJybUHbE/IkgSGTfdiqlgREL79e7aHle7rMvHc+ivi9l6z0vIvhBbv/kS6294iroNxwhUxFc89NpbzPz2x06+fGklXo/Cly+r4sIp5axZFqC0uHPf85oP3ukxsaEflEfuA9/HMmFSj/Tf1+gyMkm+8FIGf/9n5Hz9W1gmTOr3z5ldOyM8+oiXw4ejrF4V4v33gkyZ2hRj8sCDFv77gp/33wtSeFxm+dIQr77s59bbTI1tamoU/vQHD5s3hSkqlHnrzQAHD0QYN66lpXHd52FefMHP0SNRNm0Ms3VL71Y0dxU2sPibH+MqbIirffasnIQdu25/fGl308anJeyYA/RPzNbMxtTGPnd5h0LmJIocbSzuqCi9+90ZoP9yds/S2kH2+fDt34tl3ISE922fORtBkqh+981+lSlC1OlJvepabFNn9PVQ+j+iiHn0WMyjx6IEg3j37MSzfSuB40f7vdWtM0hmC5m33oFxyLCE9htx1uGLM35Ml2JpjIVRFRVRr0EJRSl8YR0THr6Bsnc7rt+TliGxY3PsZSjLoDcIhIIqT/3VxVOvpPP68/HXzVBCQarfeJWcb9zXI4sSosFI5i23E5hxDjWL3jtjsyCeRJeWjnnchFi8VYLqE/UmO3c2nxC5XApWW9PffdQoDVOnabn32y2TpGg0EI2CySzw9bvNLLxQT06OhCiB1SqyfHnLCdr27d0srpcAgvVBVv10BVe8eDWitv01zaxpiUvZX3/ESTQQQdNBxrLsmTns+s+OhB13gP7HqdXmT8bBxENa9kQEIXbP+jxf3DpejmSRjAyRjAyJlFQRg0FArwedTkA8g80UTz3ZtfTWX1gxA+DesrFHxAyAbdpMtMkpVL7+ErIn8QXIOot59FjSrr4ejT2pr4dyxiEaDNimzcQ2bSZRtwvfvr349u8hcPTwGR3/YJk4mbQrr+uRTHauDeviFn2RBj+6ZAuBsgaCVW6sBRm49pQR9YfRJpk67gCor1NITZcoKYxSURZl9HgdOzaH8PtUHKmdf7IHCo9Rv2o5jvMu6PS+8WIcVkDeA9/HvXUTDWtXnTEFNgWtFuPQ4ZhHjsY0agxaR3JfD6lb+H1t36eiCEaTwF//4uWtN1vGQp4ozs1f/2anoEDDT37kZs/uCMGgyoeftF7IMhjsH4shDcfqOfbJEYZf1b5F1pKdONdTJaJQvqGMvAX57bZLG5+OMdVEoNafsGMP0L/we6uQo2EkjQ6LfRBZ+edQUbi+zfaiqCEjbzpDx1zR+Fll0abeGGqfYzQKzJylY/ZcHWPHahk1SkNyyhmsWNphQMx0Af+hA4Srq9ClZ/RI/8ahw8l74IfUfboI97YtfbKib8jLx7Fg4UDGsgShsdmxz5qNfdZslFAI/6ED+A7sJXD0yBkTY2MqGEnyhZdgyE1craVTkf1+3Js3xN3etauUlFlDce0upW79UUZ8/yLK39+BY1o+/sL43FK2bQwx7wIj2zeFWL00wC//7ODNF73MOtfAsUNdc0VwLv0UQ24exmHxePl3EVHENn0Wtumz8B85hGv9WvwH9/crkSwaDBjy8jEMHoIxfwiGvPyz3vXyJIoC+/dFGDFSQ2VF23+T8xbo+dMfPGzZHLO66HQCeYM1QHyuM31F0YrCDsWMxqhF0ktxF73siJK1JR2KGUEUGHbZcPa82HNF9s4UVFntsF6QqDnzJraKHKH0yAoGj7oYgOHjryV7yBwaao8QCjSgKgqipEGrs2CypGJLzkc6Jc1xbfkuqku39tXwexyNBi5YaODGm4yce54Orbb/hi70B74Yb6S2UFWcyxaTecvtPXYIyWIh/YZbsM+ag3PFMnz79/S4qBE0Gswjx2Cfey7G/KE9eqwvMqJej2X8RCzjJwIQqa0hcPwogaNHCBw/StQdX7xHb6CxJ2EZPxHbjHMSnnr4dJxLP+1URr/CF9cjB2KTwNK3tmAZlsbQu88lUOHi4F8+jauPZx5z4fPGvlev/NvDiDE6HvhpEqXFUX7zg67Fv6iyTMVLzzPom/f3ivuUafgITMNHxETywf349u/Bf/ggsq97VaU7g2Sxos/KQpeZjT4zC332IHQZmf06BrCneexRL/961sHhQxYWfxJEEGHkSA2SRuDdt2P3eXGxzLnn6vn04yBmi8j3vm/hTNB7nrL4vAa0Zh1yKDFZOktWFhH94TkdFs8c9aUx7H99L3K4/wj7vkCOyB26Auqsnasj1F8oPrwcQdKQO+w8BFHCZEnHZGn//RSNBCk9upKSIyt6aZS9i04ncMutRu79toX09DNPpPYVZ8Djtmfx7t5JeEE5uszE+QW3hn5QHllfuYtIvRPPti349u0hVJ6YDDEAktWKMX9orN7N6DGIusQUHqv77GOMQ4YnPDj8bESbmoY2NQ3b9FkAyB4PwbISQmUlhMpKCVWUx6w3vWChE41GDHn5GAcPwTRyFPrsQT1+TIBwVQWujes6tU+grKmopRyIsPf/Puj0cYuPRxt/9vtUfnhPfBadjlBCQcqff4ZB936n11w0Rb0ey4RJjUkCIvXO2D1UWkK4pppoQwNRVwOyr3PpfEWdHtFkQjKZkSwWtA4HmqRktI5kNI5ktCkpSOaBGh+ns3RJiG98rZ5vP2DhvvvNRCNw7Fi0mTvED7/n4vd/tLF6XRp1tQrPPO2jurr/xEu2haSNLzlDNBDtuFGchL1hji8+RsHV7b9TTKkmRt00hr0vx5fR8Gwl6o+gNbUfY2RwxF8/qH+hUnRgMVXFm0kfNAV7ylBMljQ0WhOiqEFWIsjRECF/PX5PFfW1h3FWHUCOnp1pu+efp+cPf7KRndO/k6b0RwRVjW9mJZzFK3OmkaPJvvPuXj9u1OMmVFxEsLSYcFVl0yQl4G854RVFRK0WyWRGk+RAk+RA63Cgy8zGkJuHJsmR8PG5Nq6n5r03sc+cTdo13a+MHjh+lLJnnkzAyBJP2jU3Yp95To8fR41GidTVEqmrIVxbG/t7ez3IXm/sX58XJRxGjUbbFD2CKCIajIhGQ2xiarOjsdlj90N6Jtr0DLRJjl5fTVcVhbJn/kGwqLBXj9sb6DKzGHTP/YiGvq/mfBI1GkX2+1EjEdRoOPavrCBIUqzKs6RB0GgQNVpEk6nPs4qV/+df+I8c6tMxDNCcQXNzOf+vF7bbRg7JvDL/v5DANRhHQTJXvnQNdPCIkkMyi259F3eJO3EHP8O4/L9XkTKq/RTE9YedLLrtvd4Z0AAJR6sV+N3vbXzpljNVlCaOIbmVLT6LR6Z84S0zAP6D+/Hs2Ip10tRePa7GakMzdjzmseNbbFOjUdRoBBAQtNpen4hE6uqo+zi2Qh6qLO/VY5/NCBoNuoxMdBmZdBR2r8py7D6QZQRRRJBEEKU+n5S2Rd2nHyVcyEx89Evs/N7/EtpnVwhXVlD+32fJvuPufiNoBI0Gjc3W18MY4Awmd15eh23cxa6EChmITb4Llx0nf+GQdttJeonzHr6AT772IRH/FzMNr7fC26GYSRrmQJ9kINRwdlosWsMs2pmmvxCtoCeiBlkVeLuvh9QlHMkiz/w7iWnTz0xXwf7CgEPeCWoXvdsvso6dRNBoYqvvBkOvT17VSITKV55HCceCV8MVFWdVOuIzBUGSEPV6JJMpdh9odf1WyPj27aFhTeJ9mO1jetb9szMEC49T9sw/+tVzYoAzF0nXt99lQ7KR/Is6jqms2VvTI8ff/s8tKJGOXfGShjq44LGL0Jrbd7XqSfryb1V/qOOYP0EUGHndqF4YTf/Bp7hYFXiLveG2M6D1d6xWgZdfdQwImQQwIGZOIPv9VL/zv4FJO1D93puEKpqsMUo4dPZXLB+gywRLiqh645W429vH5cT1f9LEXIR+lqUnVFFO6b+eIFJX19dDGeAMZ9ztE7jon5cy+IIhvZ6NSpBE5v9hQYexGABln5f0yBg8ZR52Pb8jrrbpEzO49NkrsA9J6pGxtIbGoGHopcO48B+XMPNHPe+C3BY1u6vjajf6S2MwpsaXyn6AvkejgWefczBmbN+J9LOJATezU/Ad2EfdZx+TcvHlfT2UPsO5bDGebVtafB6uKEeb3HrdhAG+uITKSyl/7hmUUPwpaCc9dnMPjqjniTjrKP3XE2R/9RvosxJXHX2ALxgCZE7NInNqFiF3iKKlxzm2+Cg1u6pRlZ5bVDOlmpj3u/PImJzZYdugM0DZusQlqjmd3c/vJGf2INLGdZxhMWmYgyv+ezV7X97Nnpd2Ew0k3u1Ma9aSMTmTvPMGM/iCIY1i7+hHhxN+rHip2lFJJI4kAPokA/P/sIClDywmGkxcwgaAXLGAIeJoVkc7n5ylrxAQKdBOJlszFI2gpV6uYn94E361ybJ+nvFG9oc3MVg7GpuYTFD1cyS8nUq5CAARiVG66aRK2WgFPRIaomqEcvkoB8KbuzW+B79nZeasAYtMohgQM6dRv3IZ2uSUxoxUXyRcG9fhXLq41W2hivJWY3sG+OISKiul/Ll/dSoN80k23vpshxM2QRKZ+fLXuzq8HkX2eih96u+kXX0dtqkz+no4A5zh6G16Rlw3ihHXjSJYH6Ts8xLKNpRRta2CQF1iUiIbHAZG3TSGUTeORmeNL9vlvtf3okR7Liubqqis+cVKLnvuSgzJHQc/S3qJCV+bxKibxnDkw8MULjlG7b6aLsf0GJKNOIYnkzktk6xp2aSMTu2wpktvo0QUipYXMvyKjutdpU/M4NLnrmT1z1bgKmzo+cH1Y4ZrJ5Iq5bA1tIywGiBfO5YphgtYF/gAhaZ7eoxuJnvC62hQasjRDGecfg7OQBVhNdgocj4PfICKwmT9Avyqt9tCZspULd+6L/HFqr/I9ImYyfnpD/Dt2EXDJ5/1xeE7pOa9t5DMZsxjvjiTd9eGz6n54J02tw8kARjgVLw7t1P19uuokc6vjkZ9IYJV8WUnUsKJXWFMJGokTPVbrxM4coi0a25E1CcmHfoAX2wMDgPDrihg2InJq6fUTd3+Wur21+EqasBd4sZf5Wt39V3UiJgzLVgHWUkdm0b2jBxSx6V1yp3NU+Zh/2t7u30+HeGt8LLse0u4+KnL0Bjjm5LorDrG3DKWMbeMJVgfpHZfDfWHnfgqvPjrAsjBKEpUQWPQoDFp0Rpj/+qsOmy5Nmx5dmyD7egsZ8bK+ME398clZgAcwxxc9dq1lKwq4vjiY1TvqmpXEEs6CYPDgDHFiCHFhCnVhDnTjDnTQjQQYcOfOpdqvz8gIjJYO5qdodV4lJiL/KHwVjKN+WRq8imPHmtsWy4fo0aOWR+LIvso0E7CIibhlCuxiyk45SpkYt+1OqWSNKn7ZQ5+/ksbYv/yoD7jGbDMtIKqKFS88l/Sr70R27SZfT2cHse5fAnOJZ+02yZcMSBmBgBUlbrPPqZ+5bIud7Hhlmfiblvxcf+vMeHZsY1gSRGZt9yBPqd36vkM8MXBOsiGdZCN/AubB+tHAxFCrhBySEaOyEhaCcmgQWPQoLPqumVhUKIKa365stcKVtbtr2XFj5ay4OGFcQuakxgcBgbNyWXQnNweGl3fU3eglqIVhQxekB9Xe0EUyFuQT96J9mFPmLAnRCQQRZQERI2Exhi7T9pLblB3IDH1unobg2BBRMKrNDR+pqLiU1xYhKRmbU9vI6syGmIufT7FjUPKQIxIqCg4xHQ8Sj3d4aKLDUyZmrg4mcoKmePHZWprFRoaFMIhlS6sMZ7xDIiZtlAUqt/+H7LHg2PBwr4eTY+gRqNUv/smnm0dm0wj9U6UUGhg9fkLTLimmup3/kew8Hi3+pH94bjbHvnH8m4dq7eI1NVR+tTjJM2dj2PBhQPfkwF6HI1Ri8aY+OBhVVFZ99Baansoi1lbVGwq57P7PuGCv12E3j7w/TmdLX/bSNa0rLhdBE9FZ9WhsybOCqVBw2RpPgoyO+S1jZaLTCGPIeIYTIKVoOqjTD1GkXIQ9RQ/wI7azJYuo1DdT4qQSZqQg0yEUuUoR5U9nRhh/H6Hstq2hfN4dA/JUibzjdcTJYJLqeVIZEcnxtGSu77WvSQNtbUKH34QZM3qEJs3hfF4BpJWwYCY6ZC6zz4mWFpM+nU3nVXVsSO1NVS++t9mWcvaRVUJV1ZgGJzfo+PqKzpbTf2LhKooNKxZiXPpp7FingO0iirL1K9ajnvbZlIvuQLr5Gm9Xri0PxKuqsS14XMCHdQguvcBC1dfZ+Ti83p3Ej1AE0pEYf0f1nLskyN9cvzavTV8fNcHnPv7BaSMbr+2yhcNX5WPtf+3mgV/WdgncT0nxYYGLZOlc4kSZqe8DoWY9S5FyGS0NJ398hbcODFjZYw0HQGR48q+uNsAjBQnc1jZyTFlD3YhldHiNAL4KFfiW0gLqF5kolhFBwE59m4XEDCLdsrlo3Gfs0EwYxDMrA2+T0SNP8lNWwwbrmHWOV0TlUeORPnH414+XBRE7h2D6RlFwsVMzi9+jGvJcoyjR2IaNxYlFMKzdh0Nny5plvZY0GpJu/3LGMePhahMYP8B6t58ByXQVPTJdt48bOfORXIkEXXW4162As+6jU3H+ukPcC1fhWHEcEwTxrXZj3nqZJIuugBNWirR+ga86zbgWrEalPgCG3379lBcXETGDTdjGjk6AVepD1FVGtavxbn448Y6MvESqig/a8WMc8knBI4cwrHgQkwFI/p6OP0DVcW3bw91Sz4hXNWyKm/CECDzorFkXz0ZY04SqBAoq6d80U4qF+9JeMG+nkb2eKh68zUa1n9O2hXXnLXfmfZQFQXfvj241q8lcKxvJsZ9id0uEo6oBPxnzs3rq/Sy5lerqN5Z1afj8JR5+OTuD5n8zamMuWVsrFjwAACUri3h89+sZs6v5vX6dVFOuF9NkeYTxM9ueQPqKYH0Q8WxlCiHqVRjmcD8eChVjjJIHNYoVOJpA+BUqyhVYqLDp3pwkEauMJxy4hMzKirHI3sp0E4moPoaEwAoyFRGizp1zhISC4w3ASATpVYuZ0/o80ZrVGe44srOF1yWZXj8b16eetLLwFpi2/SIZSb5+qupf+9DGj5ejH5oPik3XU/UWY93Y5M7k23+XFzLVtLw1yfQOJJIvf3L2C9eSP17HwJgnTeHpEsvxvnWu4SKitHnDyb5xmtBkvCsaQpIS7nxWlzLV1HRRj/G0SNJufkG6v73FuGiErQZ6aTcciNIEq7P4vf7l70eyl94Fsv4iaRcdBna1LQEXa3eI1hcRO2H7xIsKe7S/uHKsgSPqH8ROH6UwPGj6AflkTR7LuaxExB1Z0aAaKLxHdiHc8mnhMp7Li3rSfK/MpvcW2ZQvfwA1cv2A2AZnk7BdxZiyLRT+MLnPT6GniBUWkzpv57AmD+UpLnzMY8Zd9ZbaoLFRXh2bMW7a8cX2tr5y9/Z+PSjIEsXt12RvWZ3Nf4aP6a0vq0NokQVDr1zgO1PbSXi7x/O9kpEYevfN3P0oyNM/+4Msmb0TQr0UEOQY58e5eA7B/rk+K1x7NOj+Gv9zPvteRhTOs4AlygUFCZKczEIJrZElzcTMgAWIYkkIZUhYssFXwERFSWuNgBetXmCGA8NpAvN4xHH6maTJuWgFXQIiJxvvJkoEfaE1+KUqzge2Y2ExFT9BSdSM1ezLbSs0ZLUERpBy3TDRewLb6RGLkVFRScYmKSfT552FMcjnXF7i7Hg/M65CAaDKvd8vYHVq7pvFTrb6RExEzx4GM+6DQBEqmswDBuKdd7sZmImVFxCw8exNMCRyip8W7ZjGJLfuD3pkoW4lq3Au3lrYz+alGSSLr6wmZgJlZR20M+FeFZ/jm/L9libmlp0n2/AOuecTomZk3h378S3dze26bNwnH8RGput0330NuHKCpzLFuPds6tb/YQqKhI0ov5NqLSYqjdeRdS9jWXCJKxTpmHMH3rWT0Rlvw/Pti24N60nXBNfobZEkH3VRA4/vpTKT5u/HBp2ljD07nPPWDFzkkDhMQKFx9Amp2Cfcy62qTPOnpgaVSVUVoJ33x68O7cTcXa9mOjZUq9YFGH2PD2fftS2kAEo31DGO9e+wZALhzLsigIyp2RBLz5iIv4Ixz89yp6XduMt93S8Qx/QcKyeJfcvJn1iBmNuGUvu/ME97mIlh2Uqt1RwZNEhStYUo0R6LjV1V6ncUsH7X3qHyd+cQsHVIxG1PW+lMQs2nMphzIKVAnEiB5XtjdsEBCQkjiq7KVcKW+yrosTV5iTiaV8EoZUvxt5w+1nWVFQOR7ZzOLK9zTYrA2+2+Gx54HUAkqVMBEQq5aaxBlUfPsWNls4vciYliYyfEH+Mm6LAt74xIGTipUfETLiyuZk6XFaOaULzNMfhouZVhRW/H9EQM8FJFguS1Uq4uHmbUFEJSZdehGS3IbvcHfYDoM3OQj8kH/uF57cYpyBJqF1wPlQVBdfGdbg3b8A8Zhy2GbMxDS/oX5NdVcV/5BANn6/Gf3B/QroMV1bEZhz96Tx7ECUcwr1lI+4tG5EsFkwjRmEeOQZTwUhEY++tiPUkSjhM4MhBvLt34t2zq09iYiSjFvfelrFb7r3lSIazJ6wv4qyjdtG7OBd/jGn0GCzjJmAaMfqMs/4pwSD+IwfxH9iH7+B+ZG/nLTCCAN/+rpUvf8WEySywclmIouMt7707vmbmK3eZyc6RKC2J8u9/+XjjVX+zNldcbeRbD1gYnC9RXibzxqt+nn/W18yv/Ct3mbntDhM5uRI+r8r+vRF++ys3x47EjvnRsjT+8y8vs+boufBiA5GIyuqVIX7zc1enAmxfeyeF0WO0mMwC//y3o/Hzp/7u5W8PtxQMSkTh6MdHOPrxEYwpRrLPGUT2jGxSx6VjzbHGfdx4CXvDVGwqp2R1EcUri3uk8GRPUL2ziuqdVZjSTOQtyGfwgnzSJ6YnxNVKVVTqDzup2FROxeZyqnZUIof6f1BC2BNi41/Ws/u/uxhxzUiGXDIsMfeMCu5iFzV7qilb3+SNESbIQWU7FWoR06Tz8eFudAVTUfGqDZgFO0H8bXTbcZuTmIXmi8RWIalZscvewK940Ag60qRB1MplSIKGNGkQ6ZpctodWdLq/seM0nUrH/I8nvKxcMSBk4qVHZgqCdFqqP0HgdMf39iqGC9o2hnViDq2Gmx7A7VYeFwREnY6Gjz5tZhU6SVeETLP9FQXvnl149+xCm5yCZeJkzCPHYMjNo6+SiIfKS/Hu2YVn2xairoaE9q2EQ0ScdWhTvniBmbLXi2fbFjzbtoAoos8ehCFvMIbc2P/alJS+HmLcRGpr8B89jG//XgJHD/d5UH/d+mPYJwzCX+Js9nnSlDzqNhxrY68zFyUcwrtzO96d2xG0WkwjRsWEzfARSJbET2C7S9TVQLCokEDhMYKFx2M1p7ppRrn2BiP33Gfm/37mZtvWMHPP1fODn1qpKGt6Jt96h4kHvm/lt79wsWtnhImTtfz6d3a0GnjlxdhkaN58Pb/7k51f/dTF7p0RhgyT+P1fktBoBf7195jImjFLx49/YeWBbzZw+GCE1DSJWbN1VFU2f/7/+iE7zz3r48arasnKlnjkiSTu/Y6VPz8UX00kgK/e5kSvF9i0K4Pv3tfAimUx60wkjgR+gboARz88zNEPY9Xm9XY9SUMd2AfbseRYMaWZMaYaMSQZ0Fp0aM1aJJ2EqBERJRFVVVEiCnI4SsgVJuQK4qv24Sl24ypyUbe/lobj9WdcDNqp+Gv8HHhjHwfe2IfGoCFldCqpY9Kw59sxZ1kwZ1rQWXRoDBokvYQSVYj6I0QCUSL+CFFfBF+VF/eJa+IucuEqcp0xoq41/NU+djyzjR3PbMOWZydjcgaOgmTs+UmY0swYkg1oDBpEjYiqqMhhGTkkE3aH8Nf5CdYF8FZ4G6+F63gDYW/bN6xbdbJH3sB46Rz8qhenGlu8PqrsZaI0B5/oplqNuSdbsCMgUqEWxt0GIFnIIFcswKlWYhdSyRDy2K9s6ZkL2AZB1cfu0FoKtJOZqD8XWY3iU93sCX2OU+58DOmYsfFbZYqLZZ78u6/Tx/gi0yNiRpuR3ux3XU42kZr485VHG1zIHi/6wXkEDhxq/Fw/OI9ofQNKIM6KyKpKuKwcbVYm0QZX3MfvChFnHfUrllK/YimSyYSpYBSGIUPRZ+egz8xC0PbM6mvEWUew8DiB40fxHz6YcAFzOkWP/KFH+z8jUBRCpcWESotxsQYAyWRGl5WNLi0dXVo62hP/auxJfWfJUlWirgbC1VUES4sJFhcRKilC9re/KtbbODcfZ/h955M8PR9fUR2iJGLKSyFpSh5lb28j79aZzdwMil7Z0IejTSxqJIJv7258e2P1dLSOZPSniGR9dg6CpnesU2okTLi2lnBlBeHKckKVFYQryol64p/Mx8utd5j56P0gb/0vdi8eOxJl7rl6Buc3LYTd96CVZ5/y8v47sef98aNRcvM03PugtVHM3PeghZdf8LHovVibwuNRXn/Zzy23mRrFjMksoKpQXSVTUhz7f/vWlpO1PbsjPP5IbPX3yOEoi94LMLmT9SACfhXlhEYKhVT8vq4rh5ArRNX2Sqq292DyjTOYaDA6cH1Ow13swl3cs3MdgGq1lKPKHiZKc9gkL8WnuqlRy9ghr2WoOIYh4mgUVPyqm+NKk2dIPG0AipVDOIQ0CsSJKEQpVPbHnckskVTJRVTJ8ScMaI/hBfE/x59+ykc4fAavOvQBPfKWNI4swDpvDsGDh9APzcc8ZRJ1b7wdfweqiuuzpSRdfglRZ30sAcDgPGwLzsX59vudGkvDJ5+R/rU7iFxyIb6duxEEAW1WJoIoNsbjJBrZ78ezcxuendtiH4giutQ0dJlZaOwONHY7Glvsf8lsRtBqETSaE/9qEQQBVZZRFRk1FEYO+JH9PmS3m0iDk6jTSbi6ilBFOUowTmE3QI8i+30Ejh4mcPRws88FSUKy2k78vW1INjsaqw3RaEIyGBBP/V9vQJA0IIkIohRzoRAlhBNWPjUajd0X0SiqHEWNRGL3hc+H7PMie73IPi8RZx2R2hoizro+t7rEQ+7NMwjVeTENTsE0uMnCFarxkHpuy6rXZ5OYOZ1IvZNIvRPvzpiftyCKaOxJaBzJaB0ONI5kNEnJaJOSYveLToeg1SJqdQg6LaJGCyefH3IUNSqjyjJKKIgS8CP7/Sh+H7Lfj+xxE2moJ3rimF1xF+sq+UM1jQLkJIcPRRrFTHKKSGqqyO4dzVfMd+0Ic/93LaRnSFRXyYwcpWXKNB33fLtl2nyNBqJRWL0ixFv/C/Dm+6ns2hnmrf8F+OCdAKFQ88nC7p3Nj+VyqVhtA5m0Bugdbr3JzD//lsz+gxFmnd+/BFqJcpgSpfm7rVDZT+FpIqRWLadWbr/cQzxtZGR2ye3HxJxpZGXF9yzx+1XefXtgXtdZekTMuFeuxjB8KMlXX4ESCeNaugLvxs6ZCN2r1qLKSixG5kRq5voPPsa7YVOn+vHv3kvVs8+TdPFC7BdegKrIRKqqcS3tvM9jl1EUwtVVhKv7NuXlAL2PKstEG+qJNnSvavDZzOa7nu/rITTDOGE0afffBUC4pILK3/6tz8aiKkqjwDnbXm+ne6qdWrXaYIhZ4k43ap78PRhQEUUwmgQe+4uHd95seXVO6nhFgd/83MUzT3q57kYjD3zPwjfuNXPLtXXU1jYFHfu6YUUZYIABEsfZGJWbmSV13AhYszpEIND6s0hEYqH+S1QpxeyMrMUmJDNMM44kIQ1J0BBU/VQqxRyJ7myxr4SGwdIoMqU8jIIFFRWPUk+JfIhKpe0Mt53Zb6H+Zorlg1TJxYzTnoNeMFIsH+JIdCdp4iBGa6aiEXSUyUc5GN0W1/WIlx4RM0o4Ss3zL7W5veyPj7T4rOGTz2j45LNmn3nWrsOztm11Hm8/gb37CexNTBD8AAMMMMAA3aOoMMqoMc1fP6e6YVSUy9TVKkyYpGXt6qa4yAmTdFSUy7jdMRFyYF+EgpEaKis6jn+sKJd58nEvzz3rY/HKNK6+3sh/nk68X7osq6hqzDI0wAADnJ1kZ0p8734bjzzuprK64+ePwxGfZWbTxo7jt/QYcYjpTNUuIKKG8aj1aNBhEZLQ0TJTpk4wME17PhYhiShhXEodIhJ2MRWHmE6KfJS90Y0J2c8qJJGuHUREDWMUzAyVxhJUfYzUTMGruNAIOgZLo2hQaqhSSlocs6v0TAKAs1FWx8HV9+Zw/YOD2tz+25v2cmRH51w5eqLPAQYYYIC+5LWX/Pz6IRubN4TZvi3C9Jk6zpmrp/bEpEBVYxnAHvyhlbJSOZYAYJKWu75u5vf/1xTD8/dHvfzjWQdHDkX57JMggggjRmrRaOC9E64aF19mwGoV2bsngtejMG6CFnuSSNHxnslYFY3GxNrV1xs5sD8KKvh8CjXV/S/Fb39GEERyrGPJsIzEpk9HKxpQVJlQ1IszUEKxazuecE1fD3OALygXLTRy950WnnvJG5eYOWlt7ojduzoWMybBynjNbA5Et1IqNxUl1gp6NK1M68dpZmERkqhUitgb2dhY8NMgmJisnU+ONAyPWk+xfKjb+6WIWeyLbqJUPkK2NJRxmlmM1kznQHQLJfJhMsRcJmrnkSpm938xM8AAA5y9CAKsfD+HvEEaZl5USnVt/09j+kUi588/Q0pOouTbv0ANxZFGqw/6fPt/fnJzJX78CxsGo8DSxUEe+rWLb97XFPvy4nM+ohGV+79nJTtHoqw0yiN/cjcmDQBYtiTIt77m5N4HrHzzfgvRCBw/FuXpJ5sWeCIRuP2rJnLzNGi0UFYi8+ifPSz9rP06MN3hJ9938evf2Vj0WSoN9QqPPuzh3VZc4QZoHYPGytTs67HqmhenFgUJjS4Zsy6ZXPtEDjvXctS5vo9GOUBPsE7+uK+HEBfnn9u5WmHxlhYrK+v4faoTDJTJR5sJGYCIGiJC8wy/NiGZVDGbsBpsJkgAgqqfPZH1nKO7jKHSOErlIygn6v10dT+AihO1eWqVptTeZXIsM2m9GluAMAot4xy7w4CYSSCLX6hk06dOrA5N7P9kLV/+aR4Gc3y+kr3V5wADdIckm8js6bFaTuNG61i+ZmCS1l/QZqYhJSf1+z4VBR592MOjp9VeOX3C/+pLfl59qf3seyuXhVi5rO0U/cuXBFm+pH3hcvkFLVf4//6oh78/2rXaFts2h7n6kvgzeA7QhCCITMm6toWQaY2C5LkEIm7KPXt7YWQDDBBDpxWYN9vQccNTEON0Waquim9xsFQ50nEjIFXMBqBGKWsmSE7iURvwqW7Mgg27mEq9Ut2t/SJqqLF9RI0tfAVVPwqx84qqMcuTJCRWfiRczJQ99OdEd3nGEPTLVBwLUHHKZ9c/OKhbwqMn+hxggO7Q4FZYtzlIZprEjt0DRb36E4YxLbO/9cc+BxigLbItY7DpM+JuPyJlHhWefSCoFO/PwWQUyS4oJXRKatulizKYPkXHnn0R5lzYlClMkqDs0CDCYZXBY8qaJaW49EIjd95mZuokHUlJIvX1Chu3hPnXfzysXd/2c2/ZhxlMm6xj6Pgy6hsUvn6HhVtvMjN8qBZBgOLSKO9/FOCPf+1cCuXbbzHz+MPJyIrKN+538s4HzUW+IMD1V5u45QYzE8ZpSXZIeH0KlVUye/dH+GhxgI8/C7QZXN4dbr3JzFduMTNutBartfXYkLXrQ1x+Q3Wzz7p7rcaO0vLtb1o5d7aB9HSRQEBlz74Ir73p45U3fChteHZOnaTjxmtNzJmlZ2i+FoNBwO1ROHg4wjsf+Hn+JR+RaPPrNGyIhu/db2PCWC2jRmrRaWPiZP2yzBb9P/akm1//ofmYfX4FWwfZEeVoU+KSjvCr8YUXnCxA6lPbTrHvU12YBRsWwU491d3aL3qK8FFP/CfT0nVOSHCahwHLzAAD9CCSXsNlr9/Iht+spGZHRZvtxtwxieHXjsGQbMRf7ePTr7xFNBDtdD+9garC/KvKOm54VnBmZbgyjBlxRvQ5wABtkWUd3an2Bo0Vh3EQzkAJ23eGmT/XwOhRWnbsiq0KG/QCE8fH6gWNHqnFYhHwemPf6xHDtRgNAhs3hxqFjCTBPx9N5uYbzAB4vSplZTLpaRJXXmrkykuNPPZPD7/+fUO748odpOEff7Vx2UVGAAJBFaNBYPRILbv2dK5I5913WvjLQw6CQZVbv17LspUtLY3//FsyX74xNmaPR6GsPEqyQ2TUCC2jRmi56nIjY6ZVEAgk1i34H39N5is3mwmFVVatDeFyKUydrGNofmx6uXtvhLXrg2zY3LZ7aleu1Z23WXj0Dw4kKSYAKqtkUpJF5szSM2eWnuuuMnHznbXNRC3AtMk6ln3YJJb9fpWKyijp6RLnzNBzzgw9CxcYuOn25pbVlGSR/DwNbo/K1u1hzpkR8xvbvjOMz9/8GMeLW15jv0/FZmvzEgAQleN/30TV+Nx9T1pAWrOunERWY+PV0FRXq6v7qa28M1v7LNEMiJkB+jWiFKudIWq0CEJLa5QcCREN9eNKuScWH5Ro2y+QtElZTLhnOut+tYz6g3XoHYZmQibefgboAdpa2uuHCHod+hFD+32fAwzQHnZDVpf2cQZK2Lo9JmYmjG0SM9Om6NBpBVauCXLePAPTJutZuSYmBiaOjxWz3rq9aWL4k+/ZufkGMx6Pwr3fd/LRpwFkOZad7porTDzxcDIP3multCzKsy+0vTr+xMMOcrI13PMdJx8tDuDxKJjNAnNnGaita/s5fnrK8ge+aeV3v0yiwaVw41dq2NRKwdfxY7V8+caYoPjSHbWsXBNs7CctVeLiCwykpkpU1yT2/TF/roGv3GwmGFI5/7Iq9h6ICQ+tRuA//0zm6stNVFTJ/OTXDe3209lrde4cA3/7o4NIVOV7P2vgldebLCkLzjXwr8eTOX++gd/+ws6Pf9X82Fu2h3ntLR+79kR4/yM/ZeWx/nVagXvvtvCbnydx8QVG5p6jb2aB27Q13GhZMpsFyg/FEjPd+z0n+w50LE7jSf2u1wuIYmJfO41uXe1M908Kl+gpFpSu7tdXDIiZAfoFGoMZa8ZQTCm5mFJy0Fsc6ExJiNr2o+ZqDq6naP1bvTTKziMHoyy69rV226SMTcNT4qJ4aSxAzlPS0qQeTz8dMXWing2fDuLhvzfwx8fr+cX3HFx3uZmcbA1en8rnGwP89pF6duxp3YWi9uAQ7KeZyYfPKKKopGO7eFaGxHe+kcTFC0zk52nQaARq6mQOHA7z3sc+nnmxuSlbEOArN1r52m02xo3SodUKHD0e4X/ve3n86QYCwd6xmKgnxKOg1WI5dyam6RPRpqciGPUobi+ho0V4P99McO+hDnpqjqDVYD5nKsaJY9ANykK0WVAjUWRnA8EDR/Cu2USkrP3CebrBgzCMKUCXm402NwttRlqzVJK5/3iozX3dn66k4e2WgbY90efpJOLcT2K//ALs11wMQNkPfofsisW4aHMyscyfhWHkMCSHHUEUkV0ewqUVBPccxPv55hYzBr1eoORYy4l07tCKFgU22zw3ARa9m8qgQRILL6lpVsemL0nEufUGkqBBK3YusBrAIMWCibftjE30x4/VAbFFrlnTY/39+0Uv580zMHOarknMjIutKG/dEdsv2SFy/zetAHznx/V88FFTDFc0Cm+950enFXjqsWR+8SM7r73la7TynM6Y0VrmX9w0wYfYhHbxsvZjDIOnPNt++B0bv/iRncpqmWtvqWlz0pyRHlvoq66WWbG6udWmplbm5f/1zILfFZfELCmLPg40O89IVOWRJzxcfbmJC+YbGgvYtkVnr9VvfmZHFOF3f3LxwsvNBeWK1UF+/psG/vNkCl+93cLv/+LG7Wn+Pfzmd5wt+gxHVB77Z2zMUybpmD5V3647YWepqFAYNrzjdiaT0OY91RV8amw+YRbsbbZpzaWsq/v1FQNiZoA+Q6M3kTJ8Go7BE7GkDf7C5vQ2OIxE/L23sjFlgp4lb2UzZYKenXtDFJcFGTdax5UXm1k438Tsy0rZs7/l6t8P/q+WnEwNqckSd99uQ6+L7+81f7aRt57PJMkm4vMr7NwbJhxWGTZEy4XzTRwrbP6WkyR46Z8Z3HiVBZ9fYd/BCLKsMm60jt/9JJlrLzOz8PpyPN6enyiq4TCajDTSvn0H2sz05uNMTsKUnIRp+kR8G7fjfP4NVDmOFJ2jhpN8541oUhzNPhc0GsScTLQ5mVjPn4Nn6Vrq3/qozWU66/lzMM+e2vWT66U+TyVR594akt2G7PJgv/JC7FcubPE80aSnoElPQTc4B++aljUVolGVn/zcRUqySGqqyF13mDt9fnabyIzpsdX+0aO0rFkb32Ro7Bgtqgr79sf/HOjMPok4t95AErUdN2pnv5MWlvFjm/o5Z4aeBpfCJyfiRWZOaxJLp1tmFi4wYDQINLgU3vuw9cQTb77r5y8POUiyiyyYZ2DRJ61PuD/9LNhsch4vJ59rv/yxnR88YON4UZSrb66hqLhtNbBjVxi/Xz3hrpXMn//mpqQ0zuCLbpCVGRNRrS1onRyvJEF6mkR5O7WgOnOtcrIlpkyK/d3efr/1v9G6DbHvnU4rMG2KjuWr4s9cePR4lCmTdNitiZ2PHDsaZe48XYftsnMkDh1M3N+uWimlgEmkiTlIaFq4jVkFB2bBRkQN0aDUdnu/viLhYubUuij3z9mGqyZ2g+aOMLHglnRGz7SRnKlDEMFVE6HkoJ9dq12sfrsGpQN/Qa1eZO41qUy+wEHeSBO2FA3hkIqzIsze9S5WvVlN6aH4Myul5+qZsjCZUTOs5I40YUvRotEJBL0ydRVhju/2seHDWvau73vV2V3OuzGdr/5+CABF+3z88po9ce/7508nkDU0tgLzzI+Osva97t24OouD7IkXkTx0CqLUd3paY7AgSm0nUogEfahy8y/wdYtvZ82Pl1Czo4KceYOZ9/BFfP7zpZQsP07quAzO/evFvHPxi7G2n92OzqIHAVb/YDHlnzevlnveY5eSMi4drTn2gLt5/d0AFC0+wvr/W9F0zA766SwL5xuprpWZeXFpoxXGYhZ567lMLjjXyE+/4+DWb1a12O+F15oyO91yvQW9ruMkFNmZGt58LiZk/vFvF7/4oxOfv2mCOnGsngZ385fc9+9N4sarLCxZ5ef2e6updca2pzgk/vfvDObPNvLwr1P41g97vsaEoNWS/sBX0aSnoASChA4fR3a5EQ0G9COGINljK1PmmZMRRJHaZ15ptz/jpLGk3nMbgiZ27ZRgKNZngwtBp0M/JA9NegoIAtYL5yElWal95tVW+/Jt2k64pLxprDoNSdde2vh7w9sfN1qWTidc2Hp+/57o8ySJPPfWkJJs2CeNwX7lhQCooTCRiiqUUBiNw46U4kCQJAK7Wi+gLMvw3AuxFWy9XujShN/lVti0OUx6usieTsRF/O2RJPbui/DdHzT0yD6JOLfeIKp0bVEnqsSeY+WVMhVVMuNGxwLIBQFmTNOxfWeYaBR27A4zfaquUedOGKulvEJurBMyekRMBB04FKGtdYlIVOXgkQhTJ+kYO1rbppjZsbtrKczdbpUH77XygwdshMIql99Q3egK1Ra1dQr3fs/JkyfiV269ycza9UHefNfPO4v8CV3pP5W6Ey5gaakt3wWZGbHPVJUWlpHT6cy1Gj+mSRDs35rdYfu01JZB9yaTwA1XmzhvnoGRBVqSk0WsZgG9QWgM7E/02uqxY/EJlLy8xIoZn+qmUikiUxzMWO3MFvVixmlnAXBc3teYcaw7+/UVPTqTdKTrcNVEuPb+HK65bxDCafeUYbBExmAD+WPNrHyjuvVOTjBmlo2v/3EoqTnNTdAaHZisRgaNMHLRVzJZ/N9KXn+4uF1hlJqj56sPDWHcnNbNZ2a7BrNdQ94oE/NvTGP78nqefPAI4WD/cBnoCus+rOXmH+dhskkMHmNm6Hgzx3Z3bHoeOt7cKGQCXplNi1uaZ+NFlLRkT76EjNFzEfpQxJwke9JFpI+a0+b20q0fUbl7ebPPnAdqcRQkU7OjgtQJGXhKXKSOy6Bk+XGSRqRQt79pgv3ORS+iMWq4Yfldrfa/5idLEASB8XdPJX1qNsu+uQgAJdr8Puuon67wk9/WNXMn8/oUfv2wkwvOzWHeLGPCjvPA3XYcdpHPVvr57i9biuCde5uvXBsNAt+/10EwpHLnt5uEDEBdvcx3fl7LjhW53P4lKz/4dV0zYdQT6IfnA+Bds4mGNxahBE8Zryhiv3Ih9isWAmCaPhHTlp34t7W+UKBJcZDy1S81Tua9qzbQ8PbHKIHmq4bmWVNIvv0GBK0G0/RJWA4ew7tqQ4v+gnsPNXNvE03GZsLDs2Jdp2vC9ESfkPhzbw3znGmYJo9DbnBR/8ZHBLbtbmYpE40GjBPHEClvKdQTharCFdd0brEnyS4yYbyWvfvin8h3ZZ8zAUWNEpGDaKXOpb0NRJoWHLftCHP5xUbycjVYLQI2q8jmbbF7dsuJwO1RI7QEgypWq8jKU1LLWyyxSUpHk3/vCevJ6W63p+LvYtawqVN0XHFp7Bms1wn89Pt2vv39jt+77y7y8/mGEN/6moVbv2Tm3DkGzp1j4I//5+DZFzw8/Lgbvz+xombxsiB33mbh2iuN/PlvUjPRde/XY65/n28IdXg9O3OtbLaYylCUmBWlI04/51nT9bz0bArpaRKKAnv3R9iyNUy9SyEQUFi4wMjwoYmfnxzYH59AGTdey9Ilic0Sui+yCaPWQqY4mFR9Fm6lHhERm5iCiEiFUkiRfCBh+/UFPTqjTErTcu39g7j2/hwAQgGFsiMBQn4ZR4aOtEF6JI3AjpUN7fYzZaGDbz9egOaEYg76ZA5u8VBfFUZnEBk20ULGYAOCCJfclUlSupZ/frftHNxuZ4T8sU0rU+GAQtF+H9XFIcIhhaQ0LaNn2hrTH08+38Htv87n3z891s0r0neEAwpr36vhottjaQTPuzmdY7uPd7jfnGubcv1v+LCOcKBrk0dzah5Dzv0yBlvHtQN6i7ojm9sVM6kFM1uKmf01JBWkAJA2IZOj7x9g0Hn5ADhGpFC/v7m1QG1HVMvB2MNNiSqoiko00PbEpL1+OouiwDsftRSyBw/HXvjprayydZXLFpoA+NcL8Vk3z5luIDlJZN3mYKvFOPcdDBMMqbEMRWN1rNvcc4UPTxI6dAznS2+3jMxVFFzvf4YmLQXzzMkA2C5d0KaYSbruUkRjbJLm37IL58vvtNrOt2EbosWM40tXAmC/YiG+zze3aRE5E+iNczdNGY/c4KLyob8ju1reb0ogiG/Dtm6cRc9w3nw9YvsZWxOyz5mCK1RBqmlIp/ZxBpqsgifFzIjhGrKzYs+y9Ztik8ONW0Lcf4+V6VN0NLhj77KtO5vE+UkLgsXS/rL8SdHj9iTe4pGZLvHcS14+XRLgpX+n8pWbzRwvivLXJzp+hlbXyPzmTy5+/4iLBecauOMWC5dfYuS737Yxf66Bi66ubpFyuDt8siTAR4sDXH6xkY3LM/n4syBuj8K0yTomT9TR4FL44S/qE3Y8aBKaqgozzqvoVLC80Sjw8r9TSEuVWLs+xNfurWu0yp3k5Wc1PSJmtm2N4PermEzt31vTZ3TsitZZokTYHFlCnjSKbCmfJDEVBQWXUkupcqSxyGWi9usLelTMzLs+jWkXJVNfFea1PxWzebET+ZQvktEiMfkCB+VH2nYNS83Rc8/DwxqFzPLXqvnfX4oJeJvfgLOvTuVrDw1BqxeZdXkK+ze6WfF669aecEDh0+crGTzaxOq3a9i73k003PwbYbJKfOPhYUy5IObbPe/aNN55vBRnZWIqavcFy16tbhQzsy5P4dU/FBP0tT1JkDQCsy5Pafx91Vtdc+tJGTqF/Dlf6hfWmFPx1ZYQaKjCmNR6TQODLRVrxlA8VU0i1rm/hjF3TELUiiQVJLPmx58x/utTEbUijhEp7H1he28Nv8uUV0VbtWgETwQCt+N51ykEAUYMiz2Y461HM3pErP3s6QYiFcPabZvs6J1aS56la1sKmVNwf7i0Uczo8nPRZKQRrWr+XZHsVkzTJjT+3vDOJ+0e07t6A0nXXIyg1yEl2TCMLiCwu3+sgHWW3jz3+tc/aFXI9DRHDmRiO62+xtRZVZSUtP58PWeWjm99w8K4sVoGDYrdx7feYuLWW0zN2v3tCQ9//LOny/skAkGAm24w8ZVbTYwepUWrheOFUd59P8C/nvE1C1hPBOWefZ0SM/XBMjzhpu/byWD+gmFaCoZpUBTYuCX22aYT/06dpKPsRAzHqZnM9pywdI0eqW0zaF2rERg5POaOtvdA4ucDBw9H+N5PYwLgm99x8vxTKfzyR3aOF0Zb1JZpi2gUliwPsmR5kEkTdCx6I40pk3Rcd7WR/70dXx/xoKpwxzfqeP9/acyZpefqK4xIElRWyvz3FR9/eSLxsTsnY2skKZboYWcnXNTmzNI3usR944GWQgYgPb1nVgkiEZWNG8IsOL/9BBdTp2mxWgU8rQhlBZnPQvG73jbfV6FQ3kehvK/H9lsaer3FZ0tCzRMXdecc2qNHZ5fTL44JmV9ft4eGmparzgGvzLr32zfJ3/j9XIyW2M236RMnL/y6dWvCuvdrsTo03PqzwQBc8+0c1rxdQzTS+oP2g6far5Ph98g89b0j/G3VZCxJGgQRRs+y8Xk340X6kopjAfZvcDN6lg2DSWL2VSksf61t976J85OwOmK3SOmhAMd2xVek6VQyxp5H7vQruzzmnqbuyGYGTbuize2pI2a2EDO2/CQcI1JxFzYQagjiKXXjGJGKfYgD5/7+f38k2tWgLUxGsVEYueMM1redWPEsrYiya2/7L6madtKbJpLgwaPtbo9U1hCtqUOTFhP++qG5LcSMYdRwTi6lR8oqidbUtdunGo4QLilvdHPTjxh6xoqZ3jp3xR9o0yrW0/zq/9xkZUokJ4vc8RUTug6SY2i1AnVOhVVrQowaqWHqFB1HjkbZuKn5Pb9jZ6Rb+3QXSYJ/Peng6iuN+P0qBw5FUORYcoOf/djG5ZcaufbG2oTGZFR4DzA4aSp2fctihKcjK2H2VS9p9tm2HWFUFYYP1TBxvI69+yN4TlhcqqplikuiTByvw2SKoqqwfVfT9Vu2MojHo2C3iVx3lYk33mk58b/xWlNjrZqVq3u2aPC7i/zkDZL47S+SeOqxZMrKZTZu6dwxd+wKs2FzmIvON5Cfl/gp30O/sjNnlp5vPFCXUKHUFkXFUXbsCjNpgo7v3mflzm+2/zw5FbMp9hxSFKiubvlOGjZEw9RJHWfTOzUDYEpy/OJn5fJQh2JGrxe4/Eojr7/a89fybKLHl8pf/n1Rq0ImHuxpWmZcmtz4+xt/bT/AdMX/qrnhu7nojSKOdB1jZ9vZuaqhS8eGmFvcrlUNzL46FYCUzMSb/3qbZa9VMXpWLGh5wZfS2xUzc65Jbfx51VvtxzS1RvqoOf1ayAA4j29vV8w48sZTKL6BqsQmzv5qH1F/hOzZudTuivne1+2pJmfeYMLeMIGaflzzppcJBBVUNbayazGJuNwdC5qTFqONW4PcfHfPxTbEi+Lxofg7TioSKa9qFDParJaWPt2Q3Mafw6XxFT09mWYYQJOcFNc+/ZHeOvdwUWm7FrSe5NXXmyYeN1xn7FDMrF4TYvWa2KT0nrvNTJ2iY+OmcLvB/F3Zp7vc9y0LV19pZOWqEN/8dj1OZ+z76XCIPPesgznn6Pm/X9r5wY8TNwZVVdhe8S5Tsq7Hpk9vs10w6mVH5QfNrDIQS8JwrDDKqBFaxo7W8t9Xmj+TN26JuaGpKhw60iR0IOZm9qdH3fz+10n87Y/JhMOw6BM/shwTdldfbuKR38e8Nf7yRMuUvz3B4095GJyn4Wu3W3jt+VTOv6KKwqLm1o47b7OQliLyyZIA+w5EGl2vtBqBSy82MHdWbALd2WKd8XDHly0oChQVy2g1QkLd2NriZ79p4IP/pXPtlSYiEXj0H272H4ydW7JDJH+whksvNBKNqvz5b02W2n0nLGmiCF+/08JT/256zsyfa+Dxhx1xuW9Go7F7Z8RwLQ/ea2PH7rpm95FOKxBuZSH93XcC/Phn1g5dzW6/w8T/XvP31ePsjKRHxYzPFWXLZ10PGB8zy4Ykxf7oJYf8VBe37x8fDigU7/dRMCWWJ37kdGu3xAxAbUXTqs3JGJozma1L6nHVRLCnaRk8xsyQcWaO72k5ATfZJCYvSAIgGlE7tKCdji17BHkzr03EkHuUsK+BoKsag731l6ao1WNOy8Nb1WQRdB6oJW/hMHY9vRmA2r1VjLl9Es4DLa+RoIk9GUWpe6brRPXTm8QCNCMMH6pl3GgdZZUduxscOBx7IY0f3flaEz2B4o9vdUz2NFktRVPLBAqSzdr4s3nm5Ea3tHgRzaaOG/VTeuvcFc/AQkIiMRgE7vuWhVBI5d4HmoQMQH29wk9/4WL1snRu/pKRX/3GlVCLbzDqZX3pS+RYx5JpGYlVn45ONCKrUbzhOqp8hyh27UBWWrfebtsR5oZrTAhCU7zMSTZuCXHjtSYmT9Tx2lst75l/PONhUI7Et75u5b9Pp+D1JlNbJ5OaIjXG0jz3kpfH/9l77ow//EU9OdkSlyw08tZLaSy8sooGV9PfIzdH4gcPxGrSBEMqVVUykiSQkiJiNMTG/M4Hfj5dGn+213h5Z5GfW28ys/i95u/QQECluDTK0pVB/vYPDzWtxEB2lc83hPj6t+v456PJ3HSdiZuuMxGJqqgqjdnIgBaWtcNHo7zxjp+brjPxp98kce/XLVTXKuQNkkhPk9i0NczzLzXw218kdTiGvzzu5tm/p7BwgYGju7KpqJDR6WLX/KE/u3jiXy1dPT0elfffDXDLre0/00aP0XDJZQY++ajnY0LPFnpUzBTu9aF2Y+Fi6ARL48+lB+P7EjZUN608pGR3f0Ikn6quz4IyKHJUZeWb1Vx9bywpw4Jb0jn+85auezMvS0Gji02cty+rx1Mfv9+rzmRn6Lm3dTm3oaoqKJEQ0XAAORzElNxx+sXu4Kk40qaYAbBlFTQTM3X7asiek9dkmdldjTXXTuGnTUknJtwzjZG3jEfSx75ic/98IUpUwX28nk9vbz34uTUS1U9fsXiFn+FD7XztNhuLV3QsDNZuDFDvUhgxTMs50w2s74UA//aIN+heDTd9PwRDy+fOyeD3LnMGR3v31rmfyQkS+iPTp+lwJIls2hxutfjnwYNRQiEVvV5g3FgtmzYnNn5EVRVK3bspde/u9L5bd4S58drYhHFDCzETG6cgNI+XOZWf/LqBT5cG+cZdFmZM1ZGTI1Ffr7Dq8zDPveRl6YrefS7JMtz1rTo+eTudSRN0vPKfVK69paZx9f/l130YjQLnTNczJF9DTrYGFZU6p8KadRFef8vHOx8kfqV/ZIEWSYyNTxBiWTEhNlUyGkVGFmgZWaDlmstNzF5Y2UyAdZd3F/nZtDXEPV+1svC8mAudpIHikihFJTKLlwZ4t5VaQd/6bh0bNoe448tmhuZrSE2ROF4U5an/eHnyaQ8jCjT8No7jv/GOH59P5d67rUwcp2VQjgaPV2HvvggHD7c9X3r+P35uutnUYWzqL39lZe3qUKuxMwO0pEfFjNvZvcCvpLRTCl9dmcI5V6a007olFnv7pycIMcE0drad3JFGUrL1WJI0GM0SWr2IVi80TujPJla8Xs2V92QjSkKbiQDmNnMx61zgf+6Ma9AY4q9jEA36qC/aha+2GF9tCcGGKtRTVPC0O//aqeN3FnfFYdJGzW5zuy2rgPIdnzX+vve5bex9rikrkruogdfPebbZPrue3sKup7fEdfyd/9zU5rbO9NMfeewZF3fcbOXay8z85sfJ/P7R+mbm98x0iZHDdaxaF1us8AdU/vhYPQ//OoUX/5HOdXdVsntf04RDEGDuTCOZ6RJvftD5GK7OImjje0QKuqZnlRps6dOuhJvOIVxYSuh452oFRSs77+bZX/gin/uZzMgRsXt/xnQd1WXtLyg5ktp+TzrsQxhZcDUbtjwOdG1iZjQkM3rkddgsOchKhGOFSymraPu5+dS/Pc1ciE5l154w9pz2XdYBVq4JsnJN50SLgMAFV7TtHtvetXjlDR+vvNG2ddHvV5l/aet9Hy+K8rP/a+jUWLvLmFFali3KIBJVufnOGlasDjVzMRMEGDNSyxsvpjEoR+LmG8z86z/N/ybtXat4KCuX+dVDDfzqofj3iUbhPy96+c+Lrb8/du+NxHV/AHy0OJbNrTMcPhzl5Rf93HFX+9aZrGyJ3/7exncfcHWq/y8qPSpm5DaC7+PlZOB/VxE1bVsGpl2UzE0/yCUzv5urhmcgzsowO1Y0MGWhA4NJ4pwrU5plfkvP1Te66jkrw+xe2xB337asAhz5EzpuSCybWNW+VdQX7mqMSekLPJVHib1YWr9fzGmDESUtinx21XToDNdeZmbYEC02q4jdKmIxxyYv//ejZCoqZdxeBbdH4T8vuwmFm773hcURbvtWFa8+ncnPHnRw71ft7NwTQlVhUJaGYUO0fLLM3yhmAB57uoHhQ7R843YbW5fmsntfmKraKBmpGvJyNSTZRF59x9srYka0xCfKJVuTFVnxtXy5Ke6msYYLS6h/9b1uj+1M4Yt87mcy1hPJOMor5A7r2dTWtb/irqoyXRUyAEMGLwBVZd2mRxBEDYrcP7OKzpz2HTZufaLZYtzpdPda9Be+9fVY7MdDD7v5bHlL0aeqscxjnywJcPedFnIHnflu+oni0Ue8XHmVgeSU9hfLr7nWSEmxzKOP9Py77kynf+XKPY3QKTVNju/xcXRn5/6gFUdbV8xX3pPNjd9vCkr1NkTZtbqB4v1+astD+FwyIb9MKKBw8R2ZnHtD/6mNkiiWvVbFlIWxQMbzb05vJmbmXNN0vmveqemUq2DWpIs6bKMqMuU7FlO5e0W7D/3eIhryEfI40Vtbt/wJooTBno7f2X4GvLOZH9yXxIwpLYX/bTdYm/3+xnteQs7mwvSjJX4mLSjhwW/YufA8EzOmGFDVWDayDxb7eO6V5r7nqgr3/biGDz71cc8dNmZONTB6hBZng8KxwghLVwV4+a3EpZ5tD9FkRLJamsXEtIY2pynzUqS8ssX20PESLOedE2ub27Nuk/2NL/K5n8n4T7x/t24L87VvdL1WSL3rOBu3/r1bYzEaUnDWHyYc6b9xUXq9DbOp/blCIq5FfyHnRA2f+ob23+HDhsSmmVVVA26gJ3G7FX74Axf/fs7RoTf+/d+JLZQNCJr26ddixl3XtBp0bKeXF39T2O0+c0eauOG7TULmsxcreeOREsLB1r+Qfk9ic6T3F/asdVFdHCQ9z8DgMWbyx5op3Bt7Ucy+KjapV1VY83b8Lmbm1DysGUPbbaPIEQ599nSzGJT+QNBd06aYATDY0854MbN1ZwhtVttphoMhtc3tcy7v3rkfL4rwnZ93LonE4hX+uOJsehrD2BHtFlvUZmegSXE0/h46VtSiTXDf4VhGBFFEPyQXTVpKhymKO4t6WlEM0WBADnVvBTsRffbGuQ+QeA6d8PsfPUrbQcvWMeiTmDb5HrQaE4oSZdW63zXbPm/WTzl4dBF5OXOwWrIJhdwcLfyMqpqmGJkZU+7DZExFknTY7XkMGXw+AOu3/I1AwIkgSAwfciGZ6ZPRaAzUu45z8MgHBAJNiYeslizGj/4yO/b8t9FVLRzxsmX7v0h2FGC35WIypWE2prF7/2sMH3IJRkMSO/e+jNtTis2ay7D8C7BaByEKIh5vJYeOLsLjjWXmE0UN0ybd0yhkFsz9TeOxV6z9NaqqdHgtgA7PJZ7r1Zvs2R/hgvMM3PNVCytWBzl6vPmzIjtT4rvftnH+fAPBkMp7HyU++cCZzPKlIR59xMv3f2jpsO3937EwZKiGn//EjTuOrKBfRPp1QMixXU2rMHmjE5PN55wrUhBOnHXhXh+v/L6oTSEDYLL1a73XZVSVZmmZ510fexAPm2ghY3BsBf7ARjfVJfHntE8ZPq3Dgx5f/Uq/EzIAQVf7os1gaztBwABnN9YL57UbhG6/4oLGn0NHi4jWtMzgKDe48G3eGftFFEn+yvUIiapOegI1HEE9RWhoB3Vcp6M3+uyNcz+TCZ6Y49ls8SdM6co+nWXDxjANLoXhwzRMn9b5sgTBUANrN/yZ3ftea7PNqIJrKCxexdqNf6ascjNjRl6PTtvk2rlp25Os/Pw3NLiLOF64jOVrfsnyNb9snOAPzb+AlOSR7NjzX9Zt+it+fw2Tx92JKDS/v/R6GwVDL+XIsU9Yu+FP7D/0DqFwzLqbkT6RQ0c+xFl/mIljv8LhYx9TVbOH3OxZAESjfiqrd7Fp699Zt+mvBIJ1jB7RlKlTUaJs2vYk23b9B4gJmJPjPOl5EM+1iOdcOrpevcnj/3RzrDDKiOFatq3NYtvaLD57P52lizLYuymb/Vuz+cZdFgIBlXsecFJccnYuDHeHJ//u5e034xN5V1xpYPGyFC6+5IsXGhEP/VrM7PnchSLHfEuHTbSQntf9P2JablOmoUNbPR1m9xgx1dp+gzOY1W/XEAnFHrYzL01GlIRmdX06FfgvCDgGtx8rU33gc+qL+mYVqSOC7vaDjPX2s8/VcID40OXlkHr3l1umCBZF7NdcjGn6pMaP3B8vb7Ofhnc+aUwfbBg9nPQffrOxMOTpCDothtEFOG6+ipQ7b4p7rKEjhY0/J113KaK1+xOdRPTZG+d+pnLgUMwD4dx5enKy4xN5XdmnswQCKo89HnNteervDsaMbm6hEQQ4Z5aOq69smYo8XiqqtlHrPEAk4qe4ZA2CIGI2t6zT1BqiIJGXM5sjxz/D4y0nFHZz+NgnSJKO9PTm7yJR1FBc9jkudwmRaABnfZMFOhCow+urxNlwjHDEi8tdjMtTjN6QBIA/UEdF1TaCIRfhiI+yis1YzJkkMr1pvOfSneuVaOqcCudeUsVv/+xi87YwqSki0ybrmTBOi0YLa9eHeOhhF5NmV/BeK1nFBogtKv/w+y5efCG+65OZKfGvZ5N494MUFpyvP5OTXCacfm12qK8Ks+GjOmZflYooCdz1uyE88rUDyN0oynSqFcaW0r75fO41qWd1ggBvQ5RNnziZc00qthQtBZMtTD4/5i7jd8udqhFkcmShNbYt/BQ5QsWuZd0ec08RcrfvAqW3JLe7fYCzE/+2PejyB2GaNgHjhNGEDh0jWt+AqNejHzEEKcne2Na3fiuBXfvb7Et2NlDz1Iuk3X8XotGAfthgMn58L4rXR6SqFjUcRtDpkOzWmNvaCWfq9vo8Hc/yzzGMHQHERFj2Qz8idPg4coMbQaeNxQA57HhXrMO7dnOv9dkb595dbrrBREaGiM0qkpTUNFF96Lc2XA0qbo+Cy6Xy35eax21cfpmBIfkarFYBm1XEbI7t+5Mf2KiskvF4FTwelZde8RMOt3x3bdocZuu2MFOn6Fi7Mp0du8LIUUhOFnnhRR8vvtxyotPZfbp6bk8942XIEIk7vmJmxZI09u2PUFOjkJYmMmiQhN0m8tY7Ad5f1DUXIp+vKZuVioosR9BI8b1zDQYHoqjF62uKUVNVBa+/GouppSX91HanEo3GgtcVJUokErtuqqIgibHpkU5rJj9vAcmOYUiSHgEBQZAQBAE1QbmO4z2X7lyvnsDjUfjrE27++kTv1dw521BV+PUv3dRUKzz4fUuHKZsBJk3W8tx/HZSVyrz1ZoAln4XY2wMFUc8k+rWYAXjjryWMn2vHmqxl7Dk2fv7KGF77czGHt7UMANYZRQomW5m0IAmjReLfPz3Wos3x3T7mXRdbZZ98voOcAiNlh5s/iAUR5t+Qzu2/GtwzJ9WPWPZaFXNOpGGec22TeFv/YW277nenY07Pb3d77eFNRAL994EXDbW/MiJpz15RO0Db+Ddux/XuJ6TedwfazHQM40a22s63fit1L7zZYX+hw8ep+sPfSb7rS+iH5gGxjGn6drKmyQ3xf28Cu/bjWrQU+5ULY32bjBgnjmnRTjDEfz8nqs+ePvfu8vOfWsnKbDmTuOO2pvHJMi0m/Pffa2HK5JZuWDfe0Nxi8e77AZzOlpNfVYVbbnPys59YuehCAzOn6wkGVYpLolTXtP4M7uw+XT03VYUf/sTFJ4uD3Hm7mWlTdIwYoaGhXqWwUGbVaj9vvt31VXe5WxkiY9fydPuI0IbFRFFad3NST8kspraSZWz82FuRo0G2736eUMiN3ZbHtEn3dG3IbRLfuXTveg3Qn/nH372sXx/ib08kkZsbn7U1Z5DEd75r4TvftVBZKbN5U4Qd2yPs3hXh+LFoq/Whzlb6vZhxVoR54tuH+e7TIzFZJYZPtvDL18fgqY9SVRgkFJDRGUSS0nWkZusb42F2rGxotb91i2q57juDsCRp0BtFfvfuODZ96qTiWBBZVknL0TN+np3UHD1Bn8z7T5Vy/XcGdThOe6o2VqPGKmGyajBaJExWCb2xyQ447aJk0gcbCHpl/B6ZgFcm4IlSVxFu1drUE32ezpHtXor3+8kbbWLu1V2vLWNOaf8auUp7b4W1KyiR9usJiNrO+4wPcOYTOlqE7HJT+dvHsJw7C9O0CWgz0xAMehS3l9DRIrxrNhHcfzjuPiOVNVT98R8YRhdgmjIOfcEQpCQbotGAGokiu71EqqoJHS4ksHMfkbLWV5TbwvXBZwT3HcIyfxb6YflISTYQBNRAkGiDm0hpBaGjLZMU9EafPX3u3WHi1K7VvLjkis4ltmiNBpfCj37q4kc/jb+mRGf26eq5nWT5ihDLV8QfP9kbBIL1yHIYizmLQDCWbU0QRMymNCqq2k7Y0RlEUUOSLa9RyACYjKmttj0ZHyMIYqezdPbGuQzQxM9+2TfhA6oCPp+K16vi9cQsth6Pgter4vGolJbI3HBNHctXpWG2dM6NMTNT4sqrJK68qmlRyedVKSuXqXcqOJ2x40XCKuEwROX+mR78D7/rWqbSfi9mAA5u8fCbG/Zw95+HMXxSLPOD1aHB6mg7C0R9VesZd/xumcfvPcSDT43AbNeg0YnMvqrlw8lZGebJB49QctDPdfcPahRJbfHgUyMYNrH9rBSXfT2r1c8fumUfh7a2/AP2RJ+tsezVKu763ZDGAqHFB/wU7ulcCky9pe1MYKqi4K1qaSXrT8iR9l/UkqZlVfcBzk4Cu/ZTfPePmn2mRqJ4lq3Fs2xtwo4T3H+4UyKoM4SOFDaLdelvfSbq3F0fLcP1Uf91X+2vGDPzCFS2XbxUkDRIRhNRb/+1pquqQlHJaoYNuYhgqIFQ2MPg3HkoSjRhGb4UJUo47MVhH0pDQyEWSyb5efNbbRsIOFFVmYy08VTX7kWjMRIKxSdOe+NcBmji7m/0TdKE3sZsERgx4oyY5jdyVosZgIrjQX57017GzrYz7SIHI6fZcGRoMVokImEVV22EyuMBDm3xsH15AyWH2jZ9H9zi4aeX7eKiOzKZOD+J9DwDkkbA1xClsijIjhX1LHu1mqAvlhe99LCf3JGJyabWH1n3QS03/zivsUjp6k5aZQB0Fkeb24Ku6g7FQl8jR9tPNytpB8TMAAMMcHaQf909HHruDxhSMgg5q4kGmmpY2IZPYNCltyJqtASqSil67xmi/s7XuBgx7Aoy0ieg0RgQBYnz5vyaaDTIgcPvUes8mJDzKCxZhShpmTT+TjSSngZXEdt3v9CmS1lX2HfwbUYMv5K83Hn4fFXsP/QOk8d/tUW7SDTAgcMfMCz/QkYWXE0gUNdYUyaea9Eb5zLAAGcrghpnBJvQUWWfXsKQmUPe7fcRKCui5JWnE9q3edgocr/8DTz7d1H21gsJ7bs/ozeKPPH5FIwWiWhY4f452/G5OvcAnXTLb9HoW1/t8FQe4eCnT3V5fNPu/Gub22oOrqdo/Vtd7rsRQWDaHY+0vV1V2fLfH3T/OAMMMMAAfcy47z6KEo0garQo0QjFi57HW3gAgII7f0rDvk14ju8n+/zrCdZWUL4sAc/YAQboJxwv6X7a+gF6hiG5LV2L45EpZ4xl5lRUVUUJxb/Sr7UlIQf8KJHuFZDrTyTynM65MrXRKrN1aX2nhQyA2I4bVjTY/9MyimL7AXfKQOBlv0EQRDLMBaSa8kkyZKOTzGhFPVElRFgJ4g3XUh8opcZ/DF84/ox8bR4PgVTTEFJN+TiMg9BLFnSSEQUFWQnhj7jwhutwBoqp8R8nIg8Uh/uioddYsOszMGmTMWuTMGht6CQTOtGIRtIjIsXqhQgCqiqjqAqKGiEsB4koQSJygEDUTSDiJhB14Q3X4g/XtxqQnigqV79Pw/5t2IaNI3Pu5Rw5IWZ0SSm4Du0g3FBH1ecfk3PxLT02hgF6BgEBsy4Zmz4DkzYJg8aGQWPFoLGiEbWIghZJ0CCKGlRVRlYiyGqEqBJBUaNElBCBiItA1EUg4sIfcRGINhCKds79fIABeoszTswEK8s4/Jefx91ekCSG3PsTKt59Bc/Bs8P3NJHnJAiw8LamPPXLX2+/3kqb/bST8FzuILi+P9CeGANQ2nBDE416rOfPxDxrAprUJASdNhbEXFlHYPt+vJ/vQPGdli1Pp8U8awKmaWPR52cj2iyokSjR6jr8W/bh+mg1avgU8SQIDHr0B2hSHVT85ilCR0paHYvtkjkk33o5/i17qX78lc5dgB5GK+q5YOgD7bZZX/oyrmBFu21ybRMYlnwOBo2t5TEkI1rJiFnrIMNcwCgWUOM/zlHnOhqC5V0a9yDbeIY6ZmHSJrXYJiEiSRp0kpkkQzaDbONRVJkK7wGOOD8nEIk/mLuzTMm6lnTz8LjbLzn2OLLSPxZz5ubdhUXXehD16YRlH8uP/7OHR9R5dJKRVNMQ0kxDcRhzMWg6ruJ9EkHQIAoAOnRS2777iirjDdfSECynPlhGfaCMYDQxMSyqLOPctR5UlYb9W8g67+pTxieiRmMu1iFnFVqLva1uWjDUMZMRKecmZIzxUuLayd6az3r1mP0Rmz6ddPNwko2DsenT0YjxJa0RBA2ipEHLafWCWikfFJb9NATLT/xfhitYhawOLPQN0PeccWKmsxhzh5x1magSeU5zrk4lb1QsHqhon4/9G7r2slSi4TbTF0u6/p/WWGtqP7tJNNxytV006sn6zX1os1JRvH7CpVUgCGhSHRjHDccwagi+9bta7GeZO4WUu2KTh2htPaFDhYgGPbrBWejysjCMGUrlH/5NY0VXVcW7aitJ1y/EMn9am2LGPHsSAN7Pd8R/4v0Iqy61TTGjlYxMyLicNNOQTvWZdsKicqx+I0ecn8edZUivsTAh/VJSTPmdOp4oSORYx5JlGcmhurUUNsRXy2WA/o+AQJp5KINsE0gzDUXoKCtMNxEFCZs+A5s+gzz7ZAB8YSc1/mPU+I7iDJR02XIT9bnRO9IIOavRWh2IOiPmQcOJ+mICXNCcmBoIAmp0IGajM4hGI8gySrjnFw/MWge59klkWkZi0PR8hi6dZCLdPLxxIUVVFRpCFVR5D1PlO9SjCzgDDNAeZ72YMQ8b1ddDSDiJOqexs+3c8ZumyeEbf219khwP7YmZtmJp+hO6Dopihr31LT4zz5mMNiuVwI6DVD/2MqosN27TZqaiHZSB7Glplveu3YZoNuDbsItoTVO/utxMMn95D4ZRQzCMHkpwX1OVas+qLSRdez7mWRNwvvRhc8sNoM1MQT8kB8UfJLAjMcG1vY1Vl9bq5zrJxPScm9rc3hECAsMcs7Bok9lRtahDQWPSOpiR86VuTQ5EQcOo1POw6lLZU/1pj7oLDdDzZFlHM8xxDhZd21kbewOzLhmzLpn8pGmEZR+V3kOUe/Z12vLo3LOBoV/6DoGqYgzpObgP7yDnwpvQJaUQqqvEMW4mNRuX4Bg7g2Bd76XHPhtIv/w6vHt34d3fc54gaaahDE6aSmonF1sSjSCIOAw5OAw5jEo9D3eomirfIUpduwjJAy5pA/QevSRmBEb86PeE66op/M9jjZ+mnX85KXMuIFBynKIX/t74efqFV5E86zyOPflHws4aJJOZgu//rlmPp+9zKubho0meMQ99RjYaS8wdJeemu1q0O/j7H6AqLSc2qqKgS04lbcHlmPKHIxoMRN0uPAd2U7vqU5Rwy3gdbVIyKXMXYh46Eo3Fhhz04y88St3aJYSqm682d5RoIGXOBaSdfzk1Kz+hbs2ShJzT8MkWrvpmDm5nBFESyB5mZOj4JpGx+u0adq/p+qpKJOBBa2zp+gNnhpgxJee0u701MSPZYq4lwcNFzYQMQKSylkhl6/Un1HAE16JVLY9RUolv3Q6sF8xEPyS7mZiR6934dx7CNHkU5pnj8a5pXnvAfM4kAHwbd5+xK6kWfUuxIgkapmff2GUhcyoZlhGMVy9lV9VHbbYxaR3MHHQL+nbcfzpDjm0cshpmX81A+uAzEYsulbHpF+EwtP986At0kpk8+2Ty7JPxhGsodm2nxLUzrn1rNi4h4nZiysrHfXQv9bvXAaC1OYj6PAy9+TukTb8glhzgg//05GmcXQgCpmEj8O5taZFPBHZ9JiNTzyPZmNsj/XcXmz4dqz6Ncvfevh7KAF8weknMqAQrSzFk58WCNE64zxgH5YOqYsgahCCKjZNwfUY2SihI2BmbDCqhIOXvvYJkNKNPyyBpyjntH06WCVaVE6wqx1IwBn1aJp4Duxr7axxVGxkSNBYLg7/6IKoi4y86gqjVYcwbSvKs+Rgysyl+qXlmLmPOYHJvvQdRbyBYXkyg5Dgamx3bmAlYR42j7K3/4j3UzS93N8/JkqRh0oKkVrftWNnAC78u7NbwQp66NgWBwZ6OqNWj9OP0zNb09t2XAg0tVydDR2J1GuyXziNaWYdv854m17AuEq074eZhbGnl8q7cjGnyKCznTm1FzEwEwLduR7eO35e0JljGpF+IVZ+esGNkW8dQ5y+izLOnxTZJ0DI56+qECZmT5Nmn4AyUUuk9My1mX1Ty7JMZlbogFrjfz7Hq0kgxDo5bzAA07N9Kw/6tzT4LN9QBcPTVRzGkZhN2OZGDZ+8Kuz57EHnf+h7FTz5CqLLJuqXPzCbvvh9Q/NSjhMpLAbBOmELy/IVok1OJuupxbdlA/bpVcGLeMujr96PPykbU6cn6ctNCo3PVUuqWftytcWpEHaNTzyfHNr5b/fQGdf5CAgmK7RpggHjpNTezYEUppsHD0TlSCDtrEUQRQ3Yu3kN7sYwchz4jm2BF7KFhaPw5NjFUZRn37thD15CZ06GY8R0/hO/4IQC0Vjv6tEzcu7bGHSxvGjwc78E9lL3zYuMqtzYpmSHf+AGm/AKMOYMJlMWqXQsaLTk33IGo11P21n/x7G96mRhzBpN72zfJvvY2jj31Z6LuhrivV6LPyeOMUnY4QHKWDr1RJOCVKd7vZ827NXz+fi2dLFjcgpC77SrYgihiTR+Cq+xA9w7SQ4haPdbMYe228dW0LDAX2HUIz/JNWM+fQdr9t+Coa8C7ZhvelZsbRUlbaNKTscydgmHEYDRpDkSTEUGnQdDGvpKtJUL37ziIXO/GMDIfTXoy0epYpi7dkBy0WalEaxsIHiyM65z7IzrJiF4yN7onZJgLyLGOS/hxRqedT23geIvMPGPSFibEAtQaY9IWUuM/3m+C8AdoGwGBMekXkWub0NdD6RQl7viFTEeoskygqutux2cKofJSgiVF2KfPpnpRU/pp2+QZhKsrG4WMafgo0q+6keoP3iRYVoIuNY2Ma76EIEk4Vy0FoPzFpxE0Wob+9HdUvvESvoP7AFDl7lnKkwzZTMi4vNUkJP2RUvfZkWhpgDOLXhUzAPr0LMLOWvQZOYhaHQ3bN2AZOQ5jTj7BilI0FhuSyUKwou8epKqiUPHRG83cdSINTtx7t5M05RwM2bmNYsY2dhIaWxKefTubCRmAQFkRzg2rSD33IhzT51Kz7MNePY9TObrTy08v7xnTN4C3pqjd7bbsEf1WzCQPmYQgtf1VUOUoPmdpq9vqnn8P3/qd2K86D+O44SRdcz72K8/Dt3Ybztc/QfG2TBxgmT+VlDuvQdBIRMqqCe4/RtTpRgkGMY4ZhnHiyNYHoih4V2/FfvUCrPOnUf9mLIOP5aRVZv2ObluG+hqLPo2Q34coSIxMPa9HjqER9QxJmsGB2hWNnyUbc8mxJV44nUQnmchPmspR5/oeO8YAiWF8xqVkW8f29TA6hT/SQJ2//WfwqUh6A2kzL8SUNQRJ39IKfPjFhxM5vH5Nw8a1pF95A7WLF6GEQ7HFt4lTqF/b9HxIWXARDRvX4tkVs4hH6mpwbV6PffrsRjGjhMMIJ6w0ajTaqjt6Z8mzT2Z06vk9nmwiUYRlP1W+w309jAG+gPSemCmPiRN9ehaeA7sx5g4BVcF3/DARVz2GnDzYEnMxA/pUzIQqS5F9LSseR1yxuAnxlIe/aXAsq4f3aOsTdd+R/aSeexHmISOo6YGx9he8VceJWdJaL66aWjCD8h2f9b80zYJAxuj2U4m6K4+0u7oWPHCc4IHjaNKTsZ4/A+uCGVjmT0M/PI/yX/yjmSjWpCeTctc1CJJE7b/fxruquZuHaDK2LWaIJQKwX3UelnlTqH/rRDzVrNgK8pmaxexUrLpU6vyF5Nkn9+hKZK59IsfqNxCWAwiCyJi0hT12rJPk2SZzrH5j3BnVBuh9hifPOeOEDHTeKpN1/vVYB4+i4cA25FDi6oBFlTCyEkEStQnrs6fx7tlB2qVXY50wGdeWDZhGjEYymvDsbHo26zKyMOTlk3zuBS32FySpRcxkIihImccwx6yE99uTlHn2nhHPtz885OnrIQyQYHpNzISdtSihIPr0LABMufmEaqtRoxGC5cUYBw0GYi5mAIHyvhMzUU8b/p4nV72Fpgm7xhbLwR91twwQB4ic+FxrT0rY+Poj0ZAPX20J5tS8VrdLOiPpo+dSsWtpL4+sfVKHT8foaL8acH1hfBataLWT+tc/xf3xWjJ/fjfanHTMM8c1ExnGCSMQJInQ0dIWQgZAk+po/xg19QT2HsU4bjjGMcNQIhEkh41wUTmRsq7VCOpPWPVpCIJIftK0NttElBD+SD2yEkEnmTDrkhHaENFtIQlasq1jKWzYQo51bId1T2QljC/SQFQJY9CYMWhsnY6l0GvMpJmGUu070qn9Bugdko25DE+enbD+IkqQsBxAUSLIahRFjSIIEpKgQSsZ0UsmRKH7r2BFlSlzt4wBaw9r/ihKPn4Fb1FireXFru0Uu7YjChI6yYj2ROFQ3YkaUI3/Nn5mOvGvAUnoGwGkyjKuLRuwT5+Na8sGbJOm4ztysGkeIAiIOh11yz7Bva1lqvWeEDJj0y4k1z4p4f32NKXutt+Vc69+mK3LHiHg7bn3VO7IhYiCSNGB9usOPfv02RsH9kWlF1Mzx5IA6FJjBRoNOYPxHYvFgATKirGOnohkMKJPz0IOBojU1/Xe0E4faSvZwDqmrclU5yZZALRTgLI/U3d0a5tiBiBz/ALqi3YRdPWPSbfO7CB3+lXttlHkCA3FnfMBlt1e/Fv3Yc+ej3SaOBH1sRe27GopmAW9DuOYoR32712xGeO44ZhmjkcNxlwZzgarDMSy9Qy2T2mRFllFpdyzl+KG7bhCzZMx6CQz+UlTGJI0o1PuGJmWkRQ2bGFI0ow221R49lPs2k5DsLxZemWNqGOQbQLDk+fEXZwOYnFAA2Km/xGzzl3Y5f0DUTdOfxF1gRK84Rr8ERdRpWM3I51kxKxNPlGtPR2bPhObPr1TIqfKd5iw3DnriiBqiLSSoTFRKKpMMOolGG3p4dAWJ0WeVZfK1OwbemxsreHatI7keedjHDwE88gxVL3zatNGVSVUWY4uPbPjuFdVjf3fjXf48OTZCRcygagbd7CSQNRNMOomJPuRlQiKGvMa0Ih6NKIerahHr7Fi1aVg0aWi70QxWGegFF/YmdBxd5aSg/1rsXSA3qNX68wEy0twTJ+LZDShtTsIlhXGPj8Rf2LIGoQuLbMxvuZMIHrC9UxjS2p1u/bE5xFXQ8uNQutCR2Pu+eJXPYHz+HYGTbsSsY34E0lrYPj5d7H/o8eRw33rbhYby51IulbKHJ9C3dGtRNtww7DMm0K0yknwcFGzWBXJYcM0LeaqEilpPvEOn7Ce6AsGI1nNjXVoRIOelK9di+RoPb31qfi37UP2+DCOHYYSCoOi4FufuODfvsSiS2VU6oJmn0XkANsrP8AZaJmEAWJV4g/VraHOX8zU7OvinggmGbIpSJmHWdeyxlBY9rOjclGbx4wqYQobtlAXKGZ69g3tVnI/lTRzx2J1gN4n2zKmSzVkanxHKWzYSl0g/niVUwnLAcJyGfXBssbPREEiyZBNsjGPNNMQ7Iasdvsoce3o9HHdR3djHzmZ6nWfdnrfnkJWo8hRT5/Eh0TdDXgP7CXtsmtRoxG8+5tbuuqWf0r2LXcRPq8K775dCIKALiMLRBHPji2N7VRZJuKsxTZpGuGq8pi2CYfa9vY4jRzbOIYnz+n++SghanzHqPIdxhkoJiy3jN2MB42ox6bPIMU0mBRjHnZDVptW8PasMk2c2TGdXWXk3FS++vQ0di+p4uUHt3epj+xRNu55YQbFuxv4z91bOt6hk9zx9ymMOT+dp+/cxLHNfStKu0LvipmKUgSNFkvBGAACpYWNn6uKgj5zELrkVOq3fJ6wYyrRWHHBxorGCcZ37BD2STOxFIzGtWNji+3mgtEA+AubguKUUGwi35brmSmv/QlPT59TV4kGfdQeWk/66HlttjHY0ym48G6OLv8vkUDfpG/UGCwUXPA1TCmD2m+oqlTtXd3mZvM5EzGOL0DxB4nW1CN7fEhmI9q8LARJJLDzEP7tzd04grsPEy6uQJeXRfafHyS47xiiQYdu6CAErYaGd5eRdG1Lv+xmw4rKeNdsw35Z7DoH9hxBbjg7fYBlNcqW8rdaWGNaoy5QxN6apYxPvyTu/lvzSY8oITaXvYEn3HGUmydUzd7qJUzOuiau4510i+vrFcwBmjM4aWqn2kfkALurP+0RK5uiyjgDJTgDJRxxfo5OMpFmHkaWZSQpxsHNJvu+sBNnoPMu2b6Sw2QtuB7zoGEEKktapM2vXr+42+dxpuHa+P/snXV4HNf5tu+ZZdLuilmyJbMtM9tJHNtJHKYmbdM2TduUUvrKzPgrc0ppmjbUNtAw206MMZNMYsZlhpnvj7Vly6JdaUX23tflK9HMmTlnBDvnOed9n3cbBfd8DOeenX1qdXlPHKPlkQdIv3wj6ZdvQI5GCXV1YH+rb/2o9icfI+v6Wym+7wtEfV66X3sB14G+4WkXYlRnMifrqhE9gzdko865jxbXMaJyeOgLhiAiBbH5G7D5GzhNbEc6XVdMrnEG2Ybynl3psBSkPQ7r+Yy8ueRNWYlCoaar9Sg1h59GkmLf69U3/pgDW36FzxX7rM8pXkJu6QoOvfk7rNnTmbbwDva88sOenByNzsKSDV/i7Vd+gEZnZfqiO9HoLHQ27afq0JO9+l19w484tf9xSmZfg0ptwG1v5NT+xwkFYq6jKrWB8oW3ozNkodVbEUUlXlcrx3Y9QCgw+DzFkqvF5wwT8ic/3PBCZGSC3tHvZzIy5mIGwDRrPlIwQLAztkothUMEO1oxTJmGqNb0mAUkg/CZOiyG8lm4jg1PEQ+G+/hhQt2dmGbOI23OAlzHDvac0+YXk778cqRwqJdAC3a0IkcjaPMKMUyZhrf2rNARyFh9ZY8JwkCM9jONhNYjb5A5fQWiYuD4Z2NWKbNv/Cw1W/+Ju616wHajgSmvnClr3onaMHhuCkBX1dsEnO0Dnne98BaSP4imNB9VXibq4lwkf5BQdSOenYfwbH67j7uYHJVo+8FfsNy2Af2CmegXz0by+glU1uB44lWiLi+Wm68ccmyeLXt6xIx3+8T6HUgmp7rfjEvInKXZdYRC01ysuiGE6iAc7XgpLiFzlnbvabp99WToS+Jqb9EWpMTMBEKvspCWQC2jiBRiV/MjY/YzDEV9NLuO0Ow6gkqhJdcwg4K0uVi0+cO2Y85cvI6wy4ZSa8BUOrPP+UtRzJx1HxtIeHhPVvbYLQ+Gv6GWhj/8PKG+BUGkIue6Ydc0CkcDnLZtp9F5oFc4bLKJSCE6vFV0eKsQBSXZhjLyjDPxR5xE5aEtqE3pxex/4+eICiVzVnyQgmlXxBUaZu84jRQNY82ega39OABZhQuxtZ8gHPQQDnrY/8bPmDrvRkSxn2mtIJA3ZSWH3vwd0UiQWUvfS/GM9T2ip3jmVYSDHo7v/gcanYXFG77I8T0PDSlkFCqRzz+/lke/eJhjrw88V0gGLSdcfHtFqvjyQIypmDlrAmAom3lmp+LcH12guR7zwuWx/7/Aycw4fQ5KgwlRo0WdEasDoTJbyVi7ESkQQAoFCLQ2Eexo7dOn8/BeMtZswFyxBE1WLqGudgSVGoVW26f45XCQpSjN/32Q4vd8jPxb30f6iisI2bpQGtPQl0xFlmVannqYsOPci08KBbHtfpOMVVdSdNdH8NZVIwX9aLLzUVvTcR7cjXnB8gH7HO1nGglhn4uWAy9TuOT6QdupdCZmXPNxHI3HaD30Kt6u0TV80JpzyF9wFelTFsTVPhoO0Lz/xUHb+I9W4T+a+Mqs5Atg++dz2P7Zv1V33fu+NuQ95HBsdUYOhfHtvTirLfvCDhqciQu1GvtuFg9TzHT5amn3nEr4ukbXobjFTJo6i+ahm6UYIzL1gxfMvZCjHS+NmxgNRwM0ug7R6DqEQZ3ep1ZSvIyn9bJSKRCJTLxwI9O8RYQ62gk01o153+XpqxMS1Odj8zdyqP3ZYf8uDBdJjtDmOZlQMeDW6u1EI0GikSCttTvJn7omzjwXmda6neSULO0lZuqPD/6OPp+mqi2Eg7Ecru62Y2QXntuNNZrzaandAUDQ7yDos6MzZBLwDv53XrrQgko78YvqXgqMcZySHCueWVreU6flLP7meiyLVxH1+3pN/AFyr70dpcnc65gyzULWFZt6vrbt2kLHq8/06THicVH/j9+Rte5atHlFaHLyiPp9BJOYlxPsaKX2Lz8jY81GjNNmY8otQPL7cR8/QveO1/vNAep843miHjfmhcvRF09FjkYItDTQ9uzjRAO+QcXMWDzTSGg/thVr6XwMmUVDtrUUzcFSNAdPey2OxmM4m4/jt8e/Ej8YKn0a5oKZZJQtPlMUM34zhoZdTxH2T9zQLcPyWCVo395KpMDFWYixwXlgWDafXb5YQUyNMr48lvMZbh2YLl8tsizFFe/fX45OivEjkUmkL2xPaPI2mkym3T1RAR/4mIk73mMgN1/BxuVttLdGueFWPf6AzGsvDC+nI1E++zELP/lmBt/7uZ3v/syGqFajMJjQ5OVjXrqS9qcfH5NxnI9WaWKKZemwrm1wHuB45+ujuhuTTMKhc4YQoaAblXYwg4He7+v2+j0UTd+ASmNApTGhUuuxt8f/txj0OXr+X5aiCOeZNPi9XZisRXQ2HUCtMaHWpuH3DL07P33N4C6YKcaOMU+6aPjnH/o97jy0B+eh/rd3q371nRH1GWxvoemxvw7Zzlt9ghPf++yA57u3v0739v63+SJuF+0vPkH7i0/ENyhZxrZ7K7bdW/s9Pdg4IP5nGg9kWaJ6yz+Yff1nUA76YXUOY84UjDlTKFxyPWG/m4Czg6Cri4Br8A8UpdaAMXsKCpUGlT4NtcGC1pyDPqMAbdrwqrl3V++juzr5CXZJQxAwrou9/Nxbh47Fnqy0eo4P6zoZmQ5fFUVp8xO6zhPq6pWInQgRKYQ71BXXxNigSomZiUQi4rLdc/EXBCx/z+ep+tfPknrP991r5K4PGPnPv7x89DPnDG4iUZkPftw4ZmLmQjR5BeS/78PI4TC2t17vKYo5lpSnrx5WeFmdYx8nut4YhRH1j15tpdi8EKuuCL3KglJUE5UjhKMBvOFuHP4Wqrq3DXoPlcYExBYrNdo0woFzC4ayLPX6Pqi1vc1wImE/3a1HySpchEptoKNxX0KLXYMJvrrKl5h/2SewZE1HliVqjjxDwNe/29+MtVmsfk8J+TNMmLI0ALzvNwv7tPtKxctI0d59ShGJjGI913xmOmXL0tGaVDjbAhx7vZ1XfneakK93PozBquab23qHndcdsPPH9/TNz+4Z3xmzgf987Qg1e+1c85lplC/PQJumwtUe4Ohr/fc1EKJC4F0/nU/F1bkcfqmNR794qM9zTQQmVgZ5iouGkMdO1eYHmX7VRwd0NxsIlc6ESmc6s5syONaSCqwlFcMdZh88nXXU7/xv0u43GlhuuRJVTgbB0w0EKmvGezijgjvUOaKwCZuvIWEx0zaM8LLzcQc74hIzididphh9VOLgjobn4484R3EkEwNNRk7S73n7uwx8+wt2tr4e6CVmqk5GKJ06fgU2/fW1VH/vK+PWv0GdTkHa3ISva/ecGlMhk582h7k5m/qILqWgRimq0anSUArqIcVM/tQ1uO2NiAoFuVNW0tV6zjXO524ns2A+HlcLWn06OcVLCId6vwNaa3cwdd6NKFU6ju/+R9Kez2gpIODr5uiOvyBLg0/ypYhE60kXrSddzLo8m5xyI0dfa6ervvdY5X7m+6ZMDZ94bCVSRKZmjw21TsGUxemsvbuU/Jkm/vyB3ouTAU+Ex750GINVRfZUI8vvGDra5SwzL8/i2s/PQJagZu/QffWHqBB4508qqLg6l4MvtPL4lw9PSCEDF6GYyd04i9lfid/N6GIj4g3y5g39736NNZ72Wqpe/xvl6z8wqCHARMHvaKPqtb8hRSZe2Fb2/3svglqFMtOKKjcDORii+4GnxntYo4bdP7KsEmcw8WTMLl/tiPr0huML+zlbUHC4dqkpwKDPIhB0EY3GkrbVaiO52Qvx+7vo7E5sRy+RavURaeJ9NsSDoaAMWYrga42Fd5umzu63nSAoEMTk5wDkFiiorembIC5JoJz4r4ZRo9i8MOGCv96QjcMd8eeKjBS9ytJLyESlMDZ/A4GIG1FQolboMGmy6PQObuYTjQRpb9jDgss/gUptpKv1KM2nt/Scrz70FOULbiNv6ioCni6aqraSU9y7eLLH0QQIhENe/N6unuPl82/DnDkVtdaMIAiYs8rxOls4sedfcT6lTFp6KSuu/Q4CApFIgKZTb9BS09dZ9/TObk7vjNVBNOdoySk3sv+ZlrgMAKYuTafyjQ4e/vxBIsHYrpK1QMdnnlhN2fIMiudbaDjkOPc9C0sceK4FiFkzJyJm5l2Vm1BfFyIqBO78cQXzN+Vx4NkW/v21IxNWyMBFKGZSTCxcLac4/cqfKbvy/Sg1iecwjBXezgZOv/7XAWvKjDeiXou6tABBFAhU1mB/7EVCTaPrnjKeuIchRs7HF7YjyZG4a85IciQh17T+CETiz7FSKwwpMTMCppfdgN1ZQ13DFkRRyZL5H0YUlShVeqprX6GxeUfc94omIFAuLOY6WSi85t0AnPzb9wAouelDY9p/Y12EufPVNNT2FjQbNmk5eWzkFsKTEVFQkm/qX1QOxrHOlxP6nR0pRZYFPULGF7azq+FhQtHEd813Pv8NALpbj/Z73m1v4MDmX/Y61la3q087QRBoq+u9q1B1aPDw/u3PfLnX1+0Ne2lviIWSG8x5lFXcwp6Xf0AoGPsMN6TlsuDyT9Nau3NYeZsDIUVlnvjW0R5xAWBv9nPopVaWv6OIwjlpgwqMsegrHIgiiAJ3/GAeC67NY+/Tzfz3G0eRpYkrZCAlZlKMAe72Go4/+yvK1t09dG2XccBef4Tatx6ZkDsyZ2n7wV/GewhjijvUPeJ7+MOuuPMhXMHOEb+0Eql2rhK1I+rrUsdkzKOmPuaClJu9AFFUsXPvL8lIn87Ukg0JiZlEROVQBSwnKqf/8WN6J1TLVP7uK31+5wVRwez7fpT0/v/8Wzff/JGV8hmxKcdN79BTPl3FVdfp+NQHR/63fiHz52j47pfTWb1Mi1IJB46E+OEv7QSC/U/IsjMVvO9OE9dtNDBnphqTQcDlkTl0NMgf/+7kqRfOTd5VKoGavSVkZyooX1pPY0vfHSeFAur2lw7aJs84I+HPgRb3MWz+sTX6Od/mvs6+Z1hCZuQIgExW4QLUWjOdzQeTdmeVxoQsS0hyLLxMEBWYM8sJBpxJFTIALcddeGx95xmO1ljtQa0peduUw+0r4Ilw67fmsPCGfPY80cQT3z424YUMpMRMijEi6LFx/IXfkj9/I7lz141KKEOiSJEQjXueofPk8BysUowevrBjxPcIRD0YiE/MeEJdQzcagogUiLvt2WJzKYaHQqEmdMYZKT93Mc2tbxONhnC7W9Bph64hdT6haPy7sdn6MtQKfULXTATOFlo+SzQQQAr3nejIRPq0TQYv/s+P0yHz0c+Y8HpkPv7ZNE4dD/OZD3fz5hvx/93Ew7JFWl79bz56ncDeg0GqasOUT1Hx/KN5vPBa/z+3j91j5uufteJwSRw9HqK1PUL5FBXr1uhYt0bHBz7VwT//E1u1D4dlHnjExVc/Y+Wed6fx3Z/1DS9dv1ZPbraCV7b4+hUyALmmWQk9l4xM1TDdFkfC+buR7mD89beSSWb+XKYtvINQwMmJPf8cMq8lERwdp+lqPsTCKz4Tm5fIEm5HE5W7/p60Ps7i6gj2e/xs+JaQWMThqPS19n2lLLu9ECkqs/1f9ZNCyEBKzFxSZE41Me+GYooXZ2ItMaIxKEGGgCeMs9lH+0kn9W93UvVWGyHf0AWwEkWORmje/yK2mv0ULrkBc2FiH+bJxF53iKa9zxH0TB5700uFqBxOyupfIhPOePNdBiMs9f/y6I+UmBkZgaADgyEblUpHmqmQo8cfA0Cp1CDLiU10nIFWco0z4morCCKzszZwsK1vGYDJxPE/DlzLqntf/w6bI2XH1gA7tsaEiyjG8mVGgz/9LAu9TuDL3+vm539w9By/+50m/vrL/g06/vCAk8PHgjz/qo9Q+Nzk7ayV8+c+bukRMwB//aeLL33SyvvfZeIHv7QRveBX7q53xATAg4/2H3qqEJSk6+LPf4BY0r8v3L/D1mgiCudW8McyvO18ulqO0NVyZJTuLlNX+SJ1laOfhxQdw5yT4fa17PZCjm/pYNYV2bzvt4v43Tt34rVP3KiVswxdFCHFpEcQBdZ/fh73PrGelR+YTsH8dPQWNQqViEItYkjXkD/PysLbS7n5/5byqdc3obeM3mTL72jn9Gt/5fhzv8JefzipqyyDIcsS9oYjHH/u11RveSglZCYoySr+FklAXATCg1d6joeoFP8CgDDMSt8pYjS17GLerHexeP6HaW7dQyAYcxkzGfPxBxL7u+72NyTUPtc4g/L0VQldM5lo3/FC0u+p0/deBj5fyEwpS96a6uL5GubOUlPXEOaX9zt6nfvHY272H+7/M6GzO8pTL3h7CRmA3/zFSSQiM6O8d0hOY0uEF17zUpSv5Op1+l7njAaRmzcZ6LZHeeal/j/L0nVFKOLM5ztLk+twQu2TgUJUJWxQkGJy8/hXjvDgffvZ8rca0gt1vPdXC1AoJ/7vQGpn5hLgik/OZvl7y3u+djT7aD/hwO8IoVCJmPP15Mw0ozHGPrCbD9vwOUZfiXu7Gqne/A+UWiMZUxdiLanAkFWS9BA0n60ZR/1RuqreJuR1JPXeKZJPsmKyo1L84TL+BJL3B0KS4+8vnuKaKQamsXknHk8bCoWabts5S+1IJEB1XTwVxc/hDnYQivpQK/RDNz5DefpqdMo0KrveGLfV6snEbx/I4L67uwlekLOyYo2Gn9+fzuq5rUnpZ+nCWA7K1h2Bfnd+tu8OsKhCE/f9IhGZjq4o+blKlEqBSOTc+P/0Dxc3XG3gQ+9J6xW+dsu1BvQ6gQce9hAM9b86nqmfEvcYIPaZ2O2rH7rhCDBpsii1LkWjNKJVmtAqTSjF3t+rVSX39HutN2Tjrbq+eZ0Z+lKWFt45aJsLWVt6b0+u456mx+n21Q14zwMtT9PuOYkgiOSb5pCXNgujOhO1Qk9UjuAPO7H56ql37MMfTr6tejgQ+yVTai6ez3Nne2z39KVfnSanzMisK7K5+RuzeeJbx8Z5ZIOTEjMXOWqDkqV3xeq1yJLM/768l8qX+yYQCqJA/jwrs68upGZnx5iOMRLw0F75Fu2Vb6FQaTDmlmHILEJvzUdnzUNtsMQtcCJBLwFnJ77uJrxdDbjbqgh5L+7aEOrifHK+8mGC1Y10/OxvSb23bt50sj/3AXx7j9L5u3htLkdGMEn5CIkkbyYjByKRKtxialN8xNidfa20O7oSf+HKyDQ4Dya821KQNo8MfSmnbdtocR2bNFXYARQaLVnLN6LPm4JC0zcJ/fRD/5fU/lRqgZ//KZ3PfMjWIwjueI+BL33HzB9+PvKFhLPkZMXeE63t/e+SdnQPHAVw9To9t99gpGKOmpxsBUa9iE4noFb1vyr9yhYftfVhrt1goCBXSXNbrM+7bo+FmP39sYF3e83a3Lie5yzt3upR//2K1byZN6p9JBujOgOH0sii/Fv7mHOIggKVJps0TTbFloUcaXuRVndlUvvvboi9N2auzeLQC8kR5BMFWZJ55AuHuO/hFSy7vYi20x62/2t0BfVISImZi5yMUhNKTewDvu24o18hA7Ff3OZDNpoPjW/oVTQcxNlYibPx/A8dAaXWgFqfhqjSICpUCAolyDJSNIwUCRMN+Ql5HRPakWxUkWXkQPxhVROZSDQ5zyERv5gJJ0PM9FclbSCSmemZYsQ0OPczxbos4dAfrdLEvOxNlFlXUGPfTYu7sscVaSKTd+VtmEpm4jixn+gY2NF//H1d/PGfmfz4t1a+8ik7n/16Gre908CXPmnntReSb1E+0F/i+TsrZxFFePj+HG6/wYjdKfHS6z6eecmLzSHh9Ur84nuZmNP6Lj7IMvz5ny5+9PWMM7kzdvJzlaxbo2P/4SCHj/X/LhIQMKmzEnoeW4KhkMPBFejgROfrfY5Py7ispxZTrf1tgv3sYoejyTVxiBezNpdsY3mPkHEF2vCEupHkKAZ1eo8Tmygoqci9Dl/YhjMwMgv+89n3TDPr7p3KohvzySkz0lHrQaVVoDMp4ypKORSzrsjGlKlGa1SSWRorbWHN17H+o2UE3BECngjNx120nUregsD5hHxRHvzEfj752Equ/+JMOmo8nN6RfPfBZJASMxc5UuTchC4tR4dSoyASnPgv297IRAIeIoH4rW8vJUINLTR+/DvjPYykkUiuS7JIJHk/xfizYsmnBz2/a++vE7pfKOqnzr6HsvSVwxqPXmVlbvY1TM9YS4PzEI2ug0nL/RoNTKUzaXzhYTz1J8akP69H5uPv7eL+f2Xy0o4cEOCed3Rx7HByF586umLvtrzs/qc2WRl9d/hvvc7I7TcYqakLs+b6Zjov2L355fczB+zvwUfdfPuL6bz/nSZ++Cs7d9xkRBTh7wMk/gPo1VYUCRqA2PyNCbUfDr6wnTr73j7Hy9JXoSAmZlpdx3AFxzZyYzCyjdMA8IS6Odz6TJ+xmbV5LC64HbVCjyCIlGWsZn/z4DVpEsHdGeT+u3dzzaenUzAnjdwZJvzOMM2VyYkGueWbszHn9N45NedoueqT03q+fvPBOp7/6ej9Hdub/fzzMwe4929LuesXC/jdO3fRVTfxPttSYuYip7PKhc8eRG/VYMjUcsdvV/LSDw5iq08JgxQTk7Gush5NINclxcSgo7N34T2FQo3RkIM5rYSTVcNzGquy7yDLMJU0Tc6wx6VWGChPX0WZdQUd3ioaXYfouiDmfyIgiErCnrF1xvJ4ZD76ni5+9dcMTp8IJ13IAOw9GNshWLtCiyDEdk/OZ/niviF1FXNiwuLpF719hEzZFBVppoFDQrtsUZ54zsu7bzWyaqmWO282EgjKPPbkwGLGqB5YHPVHKOojmEANq0uNcDTAnqbH+v0eOQOtHO94nfl5NwCxXCVRUCR197T1pJu/f3zfoG1ObuviS3NeGvD8lr/WsOWvNX2O//DKLQmPZ7h9/eOT+we8pnafna8ueCXhsYwlKTFzkSNFZV7/xVFu+N5iAEqXZ/GRpzdQs72dg0/WU/VWG9HwKHlkpkgxDKJy8m3BB+0vAaOAFBODmvq+4TAAJUWXkW6dRmv7gYTvKcsSh9qfY2Xhe0dsnS0IIjnG6eQYp+MPO2l2H6PZfXRUkpCHg6vmKOYZC+nYMfCkZyS89nbfnBBZhoBfJhKRWXK3kY3X6nrObViWnNCfPQeCHD8VYtZ0NZ+618Kv/+zoOXfXbSZWL+srZhqaYp83M6f1/pmb00T+8JOhw8H+9KCTd99q5O47TSyer+Hxpz04XAO/U3XKtDifJkYyamBdzNQ59gwq9to9J5Hl6xAEEVFQoFen4xmnejkpRo+UmLkEOPJMA5FAlKu+PB9DhgZBFChbm0vZ2lz8zhBHn2/kwH9q6aoZnbjLFP0gCBT94dtE2jpp/c7veg5bbr8a8/XrCJ6qo+2H9/cct77zOtKuWUvzl35GpL0L0WSg6Lff6HXL4Ol62n7wx0G7VWZnkHb1GrRzpqG0piFLElGHm2BVPd5dBwkcq+r3OjkqoczJwHr7NWhnTkXQa4nanPj2HcPx9KvIgeStskpjLGYmQ45Divjo6j7OlOJ1w77eG7Kxr+UJluTflnAo0EDoVGbK01dRnr4Ku7+JFnclbZ4TYxramL3y6l5fRzxOMhevw1BYhr+tESnceywdO18eUX9/+8P4vUs+8vlOXv53Pj/7TgZ33myktiHM9DIVFbM1/OMxN3e/09Sr/f9e9PKdL6Vz7QY9bzyVz8EjIbKzFKy/TEdVTZhtuwOsWd5XBJ1lx54ARypD3PUOE4IAf390cJt3rdKY0PN4QhMzR2Gi0O4+Oeh5SY4SiHjQqWIiUi0O/LMcK5YuU/ORjxp49FEfW94I9qlTlCJxUmLmEuH4K81Ub2tn4e1TWPKuqZjzYzakOrOape8uY+m7yjjxeguv//wIzpbJVd16UiLLhOqb0Uwt4vx4CE15Ccgy6tICUIgQja3wqYvykPwBIh2xF5vsD9D1p8cRTXpUedmY1i0fsktVfja537wPUaMmWN2Ir64Z0aBDlZ+Nce0SJK9/QDGjMBvJ++Z9yFGJwIkaBI0a7fQppF2zFnVJPu0/GdpyM17GWlxMJheqFIOj0ZiREqj30x/2QBO7mh5hYd7N6FWW5AzsDFZdIVZdIbOy1tPuPU2z6yjdvrpR/x00T5vf51jY2Y1Sa8BUOrPPuZGKmUcfHL+Y+p17AlxxUzPf+VI6q5ZqmTNTzf7DQTa9s4Xm1kgfMdPZHWX9rS18/6vprFisZdkiLS2tER581M33f2Hncx+3DCpmAP70kJPf/TiL+sYIm7cNbmigUZoGPX8hqRCzgZHkCN7Q0KZF5y+QTYQaX9ddr2X9Rg3rN2pob5f4z799/PtRP42NF4+qWb9Rw53vHNruXpZlvvxFF3bbyCKEUmLmEiLki7D7odPs/udppqzIZv7NJUxflxdzOxNg5oZ8pqzM5r+f2kn93tTW9mgTqmtGO3Mqyux0Iu3doBDRTC3Cd+A4+kWzURflEaprBkBVfOb/z4geORLFuzMWSqMuzo9LzBivWIao1WD75/9wv76z1zl1cT5R18AvTe3Mqfj2V9L1x0eQw7EXgzLTSt73Po12VhmasmKC1clx3EnEUnky9pdi5EwtWd/nmFKpJTd7Ad32U/1ckRjuUCc7Gh9iVtaVFJjmjvh+FyIKCvKMM8kzziQQ8dDkOkyj69CoTVyTbbU80dl/OMgNd/VvlavKq+5z7MTpELff03+o23d/ZuO7P4vP5fMfj7v65OlciEZhiOteZwkmqe7WxUgo6pt0i1GCAFdfc65+T06OyCc+aeS+TxjZsS3EY4/6ePmlIOHw5HquC6k6HWHjVfHVdNq1M8Tf/zayRfSUmLkUkaF2Zwe1OzvQWdQsescUVrx/GhqjCo1Bya0/X84frnuFoCeVSzCahOpiNtnqwlwi7d2oi/MR1Co8W99Gv2g2mrJiQnXNKCwmFCYD3jPCZrgIZ+yAz4qRXmNpaBn84qiE7cEne10b6bLj230Y4xXLUE8pTJ6YmWQvpxRjT3ZWX4ERiQRobd9Hbf3mpPQRkYIcaX+RVvcJZmVe2VPIL9lolcZepgF1jr3YAyP7W5+IrFmnZdZcFVptX1vy3/508NCsiYwgwMfebyYUlvn7I0OH1yWaj5WMGlgXK9ER7sKOBxXzVeTm9d0dEgRYvVbN6rVq7DaJJ57w8/gjfqqqJt8zAtTXRTl0MMz8Baoh297+Dl1KzKQYGX5HiO1/OUnly028/19XoDOr0VnUTL8yjyPPjL63/aVMsPbMrkthLuw7hmZaCUgSgePVRLrtaMqKcL++E3VRzEP/rPgZLt5dhzBtWEX6+25GXVqAZ/NuQo3xFfoKNbT0u3MT6XYAIOqSF4ecEjMphiJR6+WR0OWrZVvj3ykxL2SqdQVqxdChE8PhfNMAR6CFWvvbtHtPj0pfOauupWP3y8gXBOsrDWkYS2bgqBx5jYzz+dB9Jj7x+TROnQgzfaaKUyfCFBYrUCoFnnh0cu88fOpeC3NmqnngYRdNrUNPPMUEw5wm44R9JCjEi3taes2mod+V1nSRD91r4EP3GtiwrovqSSponn82EJeYmT1HxazZSo5XDv85L7oy1K7jrVT/+S0aHt9L60vH6NpZg7OyFV+Tg4g7MHA1rUsce4OXyhfPTZathYlthadInEhHN5I/gLow5vyjLS8h3NqJHAoTqmlCU1YMxELM4Jz4GS7B6gY6fvkg0W47pitXkPe9T5P3nU9hvHwpgnLwF2zEPsDKqXQmRCupNSBTf6QpJhayLFHn2MfW+r9wqvstwtHkF3o8H4s2n4V5N7Oq6G6yDeVJv3/W8g0I/UwaRZWGnNXXJr2/295t4FtftHPHpg7cbok7NnVwxcI2tr4eoKl+8uUJPPT7HB76fQ7bnivgZ9/JoL4pwld/EF8omphgYdZLzaBEJeqGbjSJWb8xvtArgJrqyKQVMgCvvBJ/MdXb3zGyn/tFJ4F9TQ7qH+tb+OksgiigStOhsuhQmWP/1Oaz/6+NnTv/mEWHQju0srwY0BjP/Tr4nWNT60NUqlFqDShUWhQqDYKoQBAVIAgIyZ0hjwhn8ygUpZJlQvUtqPKzAVCXFfUk4AdrGtEvnYdo0KEuzEXy+XuS/0eC//BJmo+cQrdgFqbLlqCrmEnGPbeRds1ldPzywYH7kFJ5JSkmB4vmf4j9h/46KveOSiFq7Luod+6j0DSPUssSdCrzqPQFkKbJZlHeLdgDTRzvfANXsH3U+oJYqItSm/yFrKwckQN7Yu8UKQoarUAwIPP7n7v488OZPPz3yZXkPr1MxazpatweiX//z8OXv9tNtz0+0ZGwmGHyihn5PCEWz46UVpmGQrx451tms0h5efw//2f+F78YmIjU10WpqorE9cxXXaPle98ZvgviRSdmhkKWZEIOHyFH/PF5okrRI356RE7aOTGkMmtjxy36HkEkqsbfMQNg9b0zsBQaqHypicb93USCfT8YBVFg3g1FzN5U1HOsdmdyq/yKCiWGrBKM2aXorPlozdlojFYU6smxCrP3wc+Nyn1DtU2Y1q9ENOhRZlgJVsVC+4LVsYrP6pICVPk5PUYASUGW8R+oxH+gEkW6mfR3XY9+6Twy3n8L7f83OpPAFCnGCkta8aj3EZXC1Dv30+A8QLZxGiXmhaTrRq9fq7aQlUXvpcF5gFPdbw6rNpKoUmMsntHztWnqbOTIeau+ooh11hKC9uQLJnu3RGa2SEMdtDRHmD1PxYE9IbwemfTMyRcgsuKakYT8JrbzPJEW9RIlLJ2bjGuUxiELVmYZysZiWOPGwkUqhAR+nJNdzAC8tTUUl5gpLFSQm6egrXV44v2SEzPDQQpHCXZ6CHbGv3qk0KtjAidNi8qsw1CSQfnHLhvFUfaPWq9k/s0lzL+5hEgwSle1G1ujh6A7jCAIGDI05M21Ysw8F8d54L9JqjkjCJgLZpI5bTnmghmIyuTUbbiYCNU1I6hV6ObH7FGDVfVnjjdBVEJdko8qJ7OP+1iyiNqcdN7/KMUVM9BMLx2VPlKkOJ/hWKNazCVx3lscU+tVGZl2zynaPacwqjMoMi8g3zQb1SjUshAQKDEvIks/lUNtz+IMJlZoUlAoSJtegbF4OgBF1773ghYyIUcXTS8/lqQRn2PvriCXr9ex/+0QW18L8O3/s/L4Q15WXqah+tTkDaMZDonW0Uo0x2Yi4Q3ZkOQooqBAFBTkGKfT6j7eb1uFoGRK+rIxHuHYsmhx/LtOR4+Eqa2Z/H8b27YFueeD8eUZrlih5umnhhfCmxIzcVIwz0LzEceA55VqEZ1FjbsjpqSjvhB+Xwh/a6zis6/ZMS5i5vydGKVGQe5sC7mzLf22lSWZPY9U8/rPj464X1NuGcXLb0FnzRvxvS5mgmd2XAzL5iH5A4RbY5WJ5VCYUFMb2tnlCFo1wREm/wPoF88lWF1P1NFbqGpKCxE0aiKd8cV8p0gxEsRhpGounv/hURhJcvGEujne+Tonu7aQY5hGYdo80vUlSV9Z16ssLC98N8c6XqbZfSzu66IBP00vPgyCwOz7fsjJv34fKXJesUxJRpZGJ6Tpj79y4/PEdiQe+ouH6bNU/L+vpNHUEOEbn3OMSp8TlWjCYmbyTtMkOUqXr7Yn72tW9nq8IVufcEmdysy8nGuTXtdporFocfwLuq+/NnZFdUeTt3eFkCQQ4/jYX7ZclRIzo837/rSCX1/7BllTjXTVevDaz+WUzNqQx20/XohKo6Cl0sm/PrYbr21i/CK+df8JGvZ1U35ZDnmzrVgK9OgsGpQaESkiE3CH6a5z07ivm6PPN9BdN/LY5fwFV5G/4CqSnBV+UXLWBEA7dzqB49WcX6QgWNOI8bIlAH3CzHQLZqEwGxF1WlS5WQAoMyyYb7wSyRdADgQJ1jUTbjq3emu+eT3qwlzCze1EuuxIwRDKDEvMaECWcTzxyhg8cYpLneGuNG9/+6fIQxTxEAWRVcs+P6z7JwtJjtLqOUGr5wRapYl80xwKTHOSau0sCgrm5VyLQlTT4DyQ2MWyTKCjBTka7h1mNoo01J7rx+eV+exHLt2Fk0QT+lWK8a9YPxKqu3eQpZ+KIIioFQZWltyN3d+EN2RDFET0KisWbT6CIOIMtBGMekbF9GK8EUVYEIez11m2bxubvOXRxuORqTodYfqMoeXGsuXDj95JiZk40ZpUfPa1Dag0CsLBKI99Zi9V22J5JRs/M4ut95/m9FvtXPe1eay7bwbPfe/wOI/4HPV7Oqnf0zkmfRUs2kRexYYx6euiQJZjxTNnlRG6oE5LqLoBYd1yJK+vz65Jxt23oLCm9TqmSDdjufWqnq9dL72F/bHnz3393BYMaxajLspFm5eFgEDU48V3oBL3K9sJnKgZhQdMkaI3igTrbECshkwg4IirrTSBrGwDETc19l3U2Hdh1RZSmDaPXNMMFEJykpxnZ20gGPXS7kmsUGjNv3+blP5TJE44mlgeRKJFNicazkArh9ueZ17uJkRBiYBAuq6IdF1Rn3b7W56k0FxxUYqZnFwFBmN8C7w+r8yB/ReHmAE4cCAcl5gpK1ei1wv4fIk7mqbETAK8/NNKDj/fxMx1uWz89KweMWMt0nPs5RZsjV5e/80JbvnBgvEd6DhhLpiZEjLDoP0nf+n3uGfbPjzb9vV7run//TDhfry7D+HdfajXMUGlovArX8Id3t7vNf4jp6h//5cHvKfz+S04n9+S8FhSXJoIgphw0UCA7bvjr2Df0jawm+V4Yg80YQ80caLrDQrS5lJkXohBZR3xfSuyN7E92IEv7Ij7Gl1OIf72kYeuxssnv5DG/b9y96lqnpWtYOVlGp7576VTGDIYSSwfdbKLGYBWdyWOQDMllkWk60vRq8woBBWhqA9PqIsWVyUt7mPIsoQ3NHLXzolIUVH8O9K7d4cYo03TMaHyaBiIz+ypqFjByROJP3xKzMRJNCyx9z/1yJLMoWebuOaLc3rOiaJAJBTbOu6s8WDKntzbwsNDoGjZTeM9iBTnIep1yJEocmiQFZ4z1ioXFs9LkWI0GG4NiUg0/rDdk1XPDquPsSIsBalz7KPOsY9sQzlTLEux6gqHfT+FqGZu9jW83Rx/4n7Zuz9LsLsNe+UeHMf3EfEOUEcqSdz7SRN/+4Ob8AUmbDqDwKe+mHZJiZlAJLFQ7vHOI3m9+jdJuY8/7ORE5+Yh27W5T/KS+ycDnu/21fHSqYHP98dbdf0vGI4lRcXxi5mdOy6eXRmAkyfjFyfFKTEzurg7g2SUGOiq9WDO06E1qShdmtGT8K/UxH5RBREiwUuvJkda/jS05uzh30CWiYYDSJEwshRFli+972GyybjtVrwHD+E7MrChgxwK0fjd74/hqFJcymiVk3+VOZl0eKvo8FaRritiesZaLNqCYd0nXVdEtqGcDm9VXO2r/vUzrLOXkbl4HTlrrsNTfxJH5R5c1UfHLI8GYmspZuvks2YeCYFoYjszRnXmKI0kxViSyM7McCbzE5nTpxMQMyVKIPGc85SYiZP9T9bzoX+toeWog9xZZo693MJN356PtchAR5WbRbcW8+afTrHw5mI6q5NgazzJsBTNGbrRGXy2Flwtp/B1NxJwdhLyOYgEfb2S31OMEEFAN30a3oOHhm6bIsUYoRvBKrMgiJQWX0FeziK0GjPBoIum1t00NL6FnGDtjomGzd/IrqZHyDXOYFbmejTDEH1TrcviFjOBzhZatz5N21vPYJwyC+uspRRe/W6kSBjnyYM4Kvfga61LeAzno9MLrFx7rtr5Zeu1hILnfk4KhcANt+mpncQVzoeDL2RPqL1eZUEUlAlbOqeYWBQnsDNz6iKzK7d1S/i8MnrD0DlDiXyfziclZuJk659O42j2Uzjfyoktbez9d6weiCVfj6crwIceXsPaD5YTDkZ59JN7xnm0Y48hc+iCcd6uBhp2PYm3q3EMRjS2pF22hrQ1q1GmpyMFg4Sam+l+4inC7eeKj6Zdvpa0tWtRWi1EbHacb2zGvXMXAIb5FRgWL0IOBjHMr8D23AuIWi3m9evwVx6n4x//7LmPcdFCzFdtQJWZScTuwL1zF84tW0GK7WblfeoTqAvyETUacj54T891jldfw/78iz1fl/zw+4g6LQgC7X/5G75jlT3nkjmeFCnOoleah31tUcFqphSvo6VtHz5fJzpdBlNL1iNJERqbdyRxlONHm+ck3f565udcT6Z+SkLXWrQFGNTpeEPxO4XJkoS7+hju6mPoC6aQd/ktpFesJL1iJcHudjp2v4rz5P5EHwMAlUpg47U6VqyNhV3/3+96u7nJMjTWRfjG5xKb3E92XKHEClILgohFm4fNf/G9Ny8l8vLjm6S73fKwC0dOZJqao0yfHkfxzAR2sM4nJWYS4NBzTRx6rnfSpK3RC8Cf7nyLnOlpOJp9+BwXV7xjPGhMGYOedzafoOr1vyFfhBNcbXkZ6TfeQMffHyLU1obCZEI3rZyow9nTJm3NaqybrqH7v08SbGhEU1JMxu23IigUuLbFku/1s2fR9fh/CLW1k379tXj27KX9/j+T98n7UBcUEGpuRjdzBhl3voPuf/+XYEMDquxsMt95B4JCxPHq6wC03f9nBJWKkh98l46H/oX/jEi5MHyk/qtfR1CrKf2/H/X7XMkaT4rkk2gYpiiITITXo1GTNexr83MXUVX7Mg1N23qOOV31TJu66aIRMxBzu9rX+iQLc28mO8GK6DmG6dSEdsXdXlRpMM9cSPq8VWiz83FXH6PtrWeRwkEsMxZRcNWdaKyZdOxK3Lbd5ZT4yqftiCLsOJbPNava8J/nUhSNQiQyuXfUhkM4GsAfcaFTpg3d+AzpuuKUmJnkxOtkVpVASNZkoq01PjFjHWbYaUrMJIloWKLlmGO8hzFuKNQDmx7IUpS67Y9flEIGQFSrQYaoy0Wku5tIdzfBurpebSxXb8T5+ht49sbcycIdHagyMrBctbFHzMiRCJ49e1FaLKTfcB2uHbsINTcTcThQplsJNTdjufoqXG9tw7Mvtloa7uzCvWMnptWresSDHArBmcmuHA4jBQeJPx1kUpys8aRIPonWqlAISsJDNxt1zJrcYV+r01qx2U/3OtZtO8WcmXegVGqJRBKzvJ3IyLLEwbb/sbro/QnVp7HqCiGOjQ5tVj7p81ZhmbUYKRLGfnQXDc88QNjj6Gnjb2vA21xN/oZ3DEvMnEWS4GRlmGBQJhi89MRLf7iC7QmJmSzDVKps/TtOpkgMhaBkTe57OWJ7BVuweegLkoReF5+Y6eycCMtOMXRpKqJhiZB/5GOy2+P729frh1efMCVm4kRrVHHZR6ZRvMCKxti3RsDvb9ky9oOaQMhSFEHsf3vQ01FL2De6bjnjie/4Cdy7d5P3/z5FqKEB96638ezbhxyOrbAojEYUJhPBht4ra8GGBizXXIXCHHupSd6Yo498xvIn6om53siRCIIq9junzs9DO6UUy4b1fcYhKBRJdSWbaONJcY5E4+fVCn3CLkrJRimqR1Q4UhRVRKK9d73DkVi1aKVSd1GJGYgJ1qOdL7O84F1xX5Omjm/nq/w9n8fXWk/LG//FeerggH+ngc4WROXIa+LcfdvY1DmbLNj8DeQYpsXd3qzJRa+y4gtfWiF556MSNUiyRFQeeFkmnjZnSXRBaKTEO0l3uyaO4L/pa7M48ko7x15vH/G9HPb4FrO1cYq+C0mqmMlZdW0ybzdutO94oc+x674+j/JVWRx+oZmAayKscU4swgEPGmP/E5Wg5yL/AJZluv/7JM7X3sC4fCnWTVdj3nAlrb/+HVG3u2fif9YGuc/lofCZ21zwIXbhrokgIKrV2F94Cc/bb/e9T5KFw0QbT4pzRKTEPoM0SiMEE4vVTzaZ+ikIDO9FdZYZ5dcTjfZ99guPHz0ev03xRMbub8Id6sQUp0jRKI2IgmLIiVr1w7/A3zF0nZmIz03dU3+Oq+8U8dPprWVWgiZl+abZl/TuzCzLFbT7q2j3V4+oTVSOsLX176MxxEGJd5LumiBiRhAFpq3M5MgrIxcyAH5/fM+lmwhiJnvZxVEwsT8xU746iye+vJ+q7akVpv7wdtYPKGZExaWxARhxOHC8/CrOzVsp/OqXMS5djPONLUQcDqIeD5riYvwnTva015QUE3E4kPz++DqQZULNLahzc4icl4/TL5IMsowgjqLtaSLjSZFUglFvQu2Nqgw6qRml0cRHVoIJ7RfSZTsJCCgU6riOXyx0emviFjMASlFDKDp43ZZ4hAyAFA7ha66Nu+8U8eEL2/GF7egTKJpaYl5Irf3tuHYdLjYEBDI1RbT7B3bri6fNeBL3zoy7/x2Mzz+3li1/rWH6mkxmr8sm6Iuy67EGXvtDVY8RbGaJng0fL2fq0nQMVjWujiBv/7eRzX8599mvM6n49q71/Gj9FjZ+YhpzN+YgCLDtn/W88ttYGO/H/rmc/JlpqPUK3vebhT3XvvGnal7+Te9Q33gJhVJhZhMChUrE2XZxhTEkE0djJelTFvZ7TmfJG+PRjC2G+RWIWi3BpmakQABNUSEKvY5wZ1esgSzjeOU1rNdeQ8RmO2MAUETaFZdje/LphPqyv/QyOR94P5b2dnyHjoAgoM7LBYWIZ8++nnZyNEq4qxvj0iWEWloBGSkYIurqHe7XExo4TNET73hSJJdggiFjaZqcURpJfCgEFTnG6SO6x6GjDyVpNJMLfySxEF1RGNoNSKHRkrV8I/q8KSg0ffMdTz/0fwn1mSJx2j2nmWJdFnd7lUJHkXk+dY69oziq5FJinE+xsQKdIo2IHMId7qLSvgVv5Fy0Rp5+OmWmpeiVFgJRN43eo9S5D/TYrS/Pup00dRYKQcXCjOt6rqt27eG0a2fcbQDW538ElRizC9/X9Sydgd5CfU3OXdR69pOhKSJbNxVZlugM1FPp2ExEOhfiWpa2lELDXDSivufvLSwF2dv1NM5Q/zsZSmV8k/TBXsU3fGUWL/zsJK/+voqSBRZu+eYc7M1+9j4dy/0JeqO42oM8+oVDuDqDTFlk5bbvzqXlhJuTb/VeiL/rFws48FwLW/5WgzFDgxQ5J6L+9uG9KDUi39q+nke+cIjjW2K7+tHw8HeN4i1fpdOmxMyocuKNNuZtyueN350cuvEliL3uEKHF16E2WPqc01lz0ZpzCDiTs1050ZAjUdIuW4syMwNBVBCx2bA9/0KvYpWuN9+CaBTLNVfHrJntduzPPo97d9/wrMHwHT1G+18fwHLVRiwbNiBLUcIdHThfe6NP265HHiPj9lso+OLnkXxebM+/iOftmG249bpNmK+4vCcELueD98QEUFs7zT/9+aiMJ0Xy8EcS2wlL1w9tnT6a5JpmoBQ1QzdM0QcpwZDCaBzt8668DVPJTBwn9hMNDr6Lk2J0aHIdTkjMAJSnr6LVfTzhndnxIF1TwAzzGg52v4AnYkMt6snQFvYae6a2hDnWKzlm34wz1I5BaWWedT0CCmrcsXfV3q7/IQoK1ud/mEO2l+jwxwSIzLnJdzxtAF5v+RMKQcXGgo8NOO7Zliuocx9gV8e/0SpMVKRfRZlpGSedMRfFfP1MSo2L2NXxb3wRB0XGucwwr+XNtn8QlgZe8A4G4quzohlkMl+1q5vd/4nl3nbWepmyJJ2V7y7uETPuriAv/OLcHLW7wcfq95ZQMDutj5ip2m1jxyMNPfc6n5A/iiTFhEskKBHyjTxkXD3KH/8pMRMntbu7uPZr8yhdkkHzUUefH+7mP1zaIkeWojTsepLy9R/o93zR0hs4/dpfx3hUY4Pv2DF8x44N2c61fQeu7f1byHoPHcZ76DAAUa+X2s98rudc0w9/0ru/yuP4Ko8P2V+gtpbmn/6i33P251/sVXNmLMaTInm4g4mFu2oUBizafByBllEa0cAICEyxJDZpS3EOdYIFNCPy0KUBTKUzaXzhYTz1J4Y7rBQjxBu2Y/M3kq4rivsapahhVtZ6DrY9M4ojSw4KIbZQFpS8+CJOfDhxhFp7tSlPW0aD5zCtvtj8yRdx0OA9SrFxbo+YicrhHlEiydF+w+ziaXOWCwXOhThDHZx2xezNPWEbrb5TWDXnokss6lycofae3aUW30lmW9ZhVKVjDw78+RqIU8wMljPSXtV7R771pJu568/tuqv1Ci67ewqz1mVhzdMhKAS0RiUntvZ9XzQccgw5lmSijXPHJRAY3u5PSswAEb8Xf0cj/vamAWOJV72/DEezD51ZTfnq7D7nL3UxA+BoPEbb0S3kzr2izzlz4SwKl9xA097nYJJX606RYrwJSwECETdapSnuawrT5o2LmMlPm4tRPXgdqhQDk0iIYCDijqsGkSAqCV/sxiyTgAbngYTEDECucQYllkXUO4ZXzHSs6ArU0+Q9xorsO3CG2mnyVtLiO9HLnMKoysCizmOqaUmf6wVBTLieVjJwXRAmFpYCKIVz+XieiI1c/TS0ChOBqJts7VSicgTvEE5z8U7SMzMHjjNTqHoLAgF6wvEA7vxRBTllRv77zaM0V7oIB6J8+r+r+r1XJDi2Bj0mY3yh7BNCzDS++M+hG/WDHI0SDQWIBnxEfB6UBhNTb/sY4gC1S0LObgJdLYRcdiJeF9GADykaASn2wxGUahQaLQqNDrU5A21GHpr0bIR+EtGDtnZq/vsHIj73oGO81K2X46Vp77OICiXZs9b0OZc79wp01lwadj9F0NU1DqMbe+bc/AXsdYdpOfjyeA8FmHjjSTF87IFm8owz426fb5pDlW37mFo0a5RGZmZcMWb9XWwoBFVCxgmeUHdc7VzVRzDPWEjHjpeGO7QUSaDNcxJ3sAOTpu8C6WDMzFiHP+ykwzuwa9d4IyNT6dhCjXsfBYZZlKctZ6ppMbs6/0so6kNAQCGoOO3aSbO3787+eAgZgMgQBguNnqNY1flcnnc3ESmEP+rmQPfzhKTBjXw83vgm6QUFA+e8ZU819vo6b6aJ7vpzYaIz1mTy4i9OUbc/JqyUapH0Qn1c/V6IHJWRZRAVI3Og7Blr/iQSM46TB0Z8D2PRNEpu/CCiqrczja+1DtvR3bhrK4cUHv0hKJWYSmdhmbEI87QKOGMRqknPofyuz1H31J8IdLUOfpMUcdGw+yn89laKlt/Sx8nMXDCTuTd/CUfjUWw1+3G1nCIaHqSo4yRAodYhS1GkyNDhHZOJi/W5Lha6fXUJiRlRUDAjcx2H2p4dxVH17m9+zvWoFAMX1B1v4rExHk9KLIsSyjVyBOIrAuhtPE3eutswFJbhb2tEuuAzuGNnarFjrDhle4vFebcldI0giCzIvYlDbc/S7h2eu9RYEYi6qXa9TZ37AGtz30uBfia17v3IyLjDXRiVGQSigy+wnN19GMzaPZ42ycKszmZP59PYgvG5AgK0t0WZPn3oKfdgYqZ8RQYr31VM1a5uShZYmL8pj6e+ey7E3dbkZ9rqTI682obGoOSqT0zrs5sTL9GITHeDj0U35tN6yg2yTNAXxd05vPla/iDPdT4Ox/BE7IQKM9PlFFNy0wcRleeETMTvpemVR3HXVo7o3nIkgqvqCK6qI+hyiijceCfazHwAVIY0pt7+caof/w1Be+LWyx/77+X88fatIxrfxUbnqV24Wk9TvPwWzIWzep0TRBFrSQXWkgpkWcJvb8VvbyXg7CDosRP2OYkEvERCPqRICCkSjq3SXFj3ZIJQvOJW7HWHcDQcHbrxJOJifa6LhU5fLTJyQi/vPONMutJqaXaN7s9UEETm51yfcAjNWLOm+AN0emtodB2Me1djrEjTZFOW3n+IyEB0+eKzUc5cvI6wy4ZSa8BU2lcQp8TM2NHprcHmbyBdl5hJhygoWJh3M9W2nVTZtvcKNxovlKIaSZaQ5Ag5unJUohpXqJOIHCJNlY1K1OKNOHraV7l2szDjOjwRG+3+agRioWcCIi2+c/lcsizhizjI18/EHe5CJpYnc76ZQDxtAERik2pRGJ6Dp05pQq+0EBxCgF1IS3N8k/T0DJHcPAVtrX0XWbY9VMfUJelc9/kZhPxRtj5Qy76nzy1g/PtrR7j1W3P40suX47GFePPvtbiGKT4A/vO1I9z09Vn8vydX43WEePnXp9n3v/gWTM5HpRIoLo5PzLS2TnIxI6o1lFx3dy8hE/Y4qX3yjwRtyS325m9vpOY/v2fKrR9FlxN72Sq0Bkpu+ACnH/k5crwecmfIKjMO3egSJOju5vRrf8WYM5W8ivWYC/q+NAVBRJ9egD69YBxGGD97H/xc/ycEgbS8adjrDo3tgEabi/W5LiKCEQ/dvnoy9aUJXTcn6ypCUT+doxSiolLoWJh704QXMhCrGF5iWUSJZRH2QBMt7kra3CcHdSUaC8yaXBbn34pCiP8V7Qs7cATiiy5IWS9PLI50vMSaovejEBOvlVSWvpIMfSnHO1/DGWwbhdENjlJUk22YRq5xBpn6UrY3Pog3ZEOWo5QYF6BTpiGiwB91ccq5gw7/uZonHf4a9nc9S1naMspMS5GI4g07qHH3tZ8+YnuVWdYrWJ1zFyHJz2nnTpp9x+NuMy1tJaWmhT1/UwszrkOWJTwRG9vbH4n7eYNRH55wN2tz3wfEdoR8ESennNsHLdbZ0hL/DvD8+ap+xUw4KPHw5w4OeF3TUSe/eUf/JkNn8bvDfGlOfOGldQfs/Pq2we8XDzNnKVGr41t0S+T7dD4TRsxkL9uIKq13Aammlx9JupA5SzTop/HFfzHtfV/sqbWhSc8ha8l6Ona9TMniDKJhiabDsdjD6Zf3n4QpKgQUylEsTHgREAl48XbWY8otv6gKaM7c9An06fmIKg3lV97Tc7z18Gs07z/nFCYqVUy57C4sRXOQpQjO5pM07HqCaOjchCln9lqyZ61FbbAQ9NhpP7qZzlO7es73l+uSv+BqrKUVHHv6pz3H8uZvJGvaclT6tJ7f62jIz6lX/oy3qyGu8cT7XCnGnybX4YTFjCgoWJR7Mye736TOsSep48kzzmRW1pWoFYk5cE0ErNpCrNpCZmWup8tXR4f3NB3eGkJjaIMrCgpKLUsoT1+FmICQgVgyeYrJiT/s5ETXZuZkXz2s6y3aPFYUvYc2z0nqHftG3ejDqM7AqiskS19Gpr6039pGHYFaOgJD7xR2BuroDNQN2c4eamVH+6PDbnPatbNXzZn+2Nb+cJ9jVa7dVLl2A7G/zxXZd9ARqGV/9/NIcgRRUJCrm0ZF+tW83vKnAcNWGxvjn6QvX6Hm5Zf6LqgIox9BNyosXKSKu21z0yQWM6JaQ0bF6l7HXNVH8DSObixo0NGJ/djbpM9b2XMsc+FldO3bzK0/jBWA/OXVrwFw1+9S1qKJkpY/nbyKDZhyy8Z7KKPCqVf/jKhQseBd36Vm679wNMVCIeVo75297FlraD+6hRPP/xqVwcLUtXeRV7GRpr2x3IXsmavJX3ANDbufxNvViCGzmOIVtyKICjpObI97PBlli8mdcznHn/8NAVcnWTNWUrT0Ro488SMiwXMTsqHGE+9zpRh/2j2nEq4kDrEd0ZmZV5BrnMGp7jex+RuGPQZRUJJjnMYUyzLSEkxknoiIgoJsQxnZhjJkZFzBdrp99dj8jTgCzb2K5yULrdJIvmkOxeZFaJWJ7/QHIx4aXYcTusZUOgttTgGiou9uQPuOFxIeQ4qR0eg6TLqumDzTrKEb94OAQJ5xJnnGmbiDHbR7T9PhrcId7BxRCJpKocWgSseizcOqK8KqLUSt0A37fpMZkyoDkyqDXR3/7mX/3BmoY7p5FSpRO2ANoGNH4q8XtfFqDd/99ggHO4FYvyH+vL/q6uHNMyaEmDGXzUO8oKKO89TYhLe4qo/2EjMKjY60snn87sbNnB+KLsvww+Uv9BQS6mmvFPnqrk1jMtbJglKjp3jFbaRPWTDeQxlVpEgIzjiuSNFwnyTas3i7Gmk+ENvW9TvasdXux5hd2nM+b/5G2o6+QXf1PgACzg40pgzy5m9MSMwYskrwdjUQcMZ2M23V+ylZcRtaSw6e9nNb+0ONJ97nSjH+yMhU2XZQkXPd0I37waLNY1nBnXhCXbR5TtLtq8cV7Bi0ToNCUGJQp2PW5pOuKyJLPxVlnOEx7lAnjc7DzM5aP6zxjjUCAmZNLmZNLlOty5GR8YZsuILtuIMdeMN2fGE7/rBr0O/Z+ShEFXqlBaM6A7M2j3RdUUL2y/1xsnsr0QREVtay9WSv2kSwqxVNZh7BzlZU5gwEhYj9yK6hb5BkBEFEKWpQiRoMqvSErlUrdBjVGUSkIBEpNCpic6w40vEiWqUJq65wRPcxabIxabIpT19NVArjCrbjCXcTCLsIRDxEpCBROYIsRxFFFUpRjVJQoRDVKEUNepUZvSodg8o6oQ08xhpfxEVUjlBinE+zrxJZljGq0plmXoUr1DFoMdOqqgg+n4xeP/T2SmGhgnnzVBxJQABNVEwmgZWr4g+fPHxweM88IcSMsWRGn2Pu+rGp2+Jt7hvjaCqdiePEvl7HAu4wIX/f7a9IUCI8xn7dExm1wcyMqz+OJi1zvIcyYfB19V71jgT9KM7Yjiu1RlQ6E96uxl5tvF0N5C+4CpU+jbDPFVc/AUc76aXzURushLx2LMVzkKLhHnETz3hSTD5a3JUUplWMKEfFqM6kPD2T8vTVyMiEIl6CUS9RKVaMThSUKEQVGoUBtWJ4Vp+SHOFQ23OEor5JI2YuREDAqM6I1c0xze51LiqFCEZ9RKQgkhxFkmMrjIIgohBiE0aVQo8qAXeyeGj1nKDFnZhBjnXuSlpefRz7sT3M+tj3qXr45wgKJYXXvJuQMzEjBFFQoBQ1Z/6pUZ39f4WmR6D0e/68NonkBl1IjnE6OcbpPV/LyESkEFEpSFgKnhM50bNi5+zx0Jlz5/87d348rIElOcr+tqdYXvDupNVmUogqrLrCEQukFLGaM/u7n2Na2gqmpi1BgZJA1ENXsJ7TzsEXASQJKo+FWbI0von9++7R84XPOnu+/tn1b41o7OPFrbfrUMXpqNbWFqWzcxIbAJx1FTuLHIkQDYxNnLIUDiGFg4iqcy8YbVZ+n3Y/Xj1wwtTOf9QMeO5SQlSqmX71x1JC5gKi4YFXCkXF2VjS/v/YpcggK+QX2Jd3ntqJMXsK8277KtGwn5DXQfUbDxIJ9HZdGWw8KSYnRzteYnXR3cNKIL4QAQGN0ohmGOFOg3G8azOeUKy+VCjqG7YomqgoRDX6JHz/E8Ed6uRoR+LOYypjGt7mWD6DLEuIShVSJEzHjpcove2jdB8YeuKUqS9lUd4tCef2jDYCAqozImokSzSSHGFfyxN0jyAEcziEowF2Nz/K4rzbsGjzhr4gxZjSHWigOzC834ldu0Jxi5kbb9Lykx+66eoan3o7yUAU4Z4PxJ8/efDA8HeiJkTmuspk6fX1hZOv0SYa8PX6WmVMLP789d+eGLrRJUDRkhvQpmWN9zDGFFmWARlBHN6fUsjrIBLwYMjqbctpyCom5HUQDcUKcUXDARTq3nHKOmvfF50hs4hTr9zPwUe/SeUzv8DZPLzfzZE+V4qxxRd2cKj9uQlhz9ofNfbdNDoP9nztDiVugZ+iN55QF3ua/51QeNlZIn4PKkMaAGGXHW1ObNU+Gg6g1McnYgVBMeGETDIRBSVCP4ntY0E46mdPy+N0xmm1nWJy8Pqr8Ydsq9UCn/+SaRRHM/rcdruOktL4/4a2bB5+SPuE+CQ6f1cEGPOQF4Wm9yRRVI/t6trFgFpvJnP68vEexpgjS1ECrm4yypbgt7UCMtFwiLA/vtAwkGk59BoFi64h5LGdMQAoImf25TS+/XRPK097HZnlS3E2VRLyOrAUz8WYVUrQa+9pozZY0aRlxB2WNrrPlWKs6fBWU9n5GnOyNo73UHrR4DzAqe43ex1zBzvJ0JWM04gmPzZ/Iwfb/kcoOnjV8YHwNlVjmjobb3MN7ppjFGy4E9uh7RhLZhDoHnt73xR9iUph9rc8wVTrcsrTVyMMsy5KinOIKNiY9r4+x191PYRE/+kCw7lmIA4dDNPZKZGVFd/P8h136Hj4nz6OHJ58uTMmk8CXvhK/GJOkxMTehUwIMSNLEYTztudFtRZRrUEKjX7icayvC8RTtO+2ntao4rKPTKN4gRWNsa/N3O9v2TJKI5wcZJQv6bECjgdZkvDbW/B01hNwdhDyOgj7nLEimdHImfCqibnKfCF12x6jeMUtzL7p80SCXpr3v0h3VfyWtx3H30KWo+QvuBq1wULIY6d53/N0nX67p03roVdR6UxMvfw9iKISR+Mx6nc9Se68dT1twn43fkc7c2/9MhALHwm6u2ne9zz2+iNj/lwpxp5G50EiUpCK7GvHffIjI3O6exs19r6x5O4z4WYpEkNGpt6xj5PdW0eU09Gx8xWkcMz6tWvfVrRZ+eSsvZ6ws5umlx9L1nBTjBAZmWr7Lrr99VTkXJewa2GK3shIHA/sQiVoUAs6itV9a98l45oB7yXDa68EeNdd8YXYiiL89vcWrt/UhcczOeZDZ/nBj81kZMb/Djp4IDyikLoJIWaifh+iqfduiKl0Fs5TB0e97/6qH0f6yde57uvzKF+VxeEXmgm4Jp9KHm1MOfHZLwdcXXQcfwtbzX4iQd/QF0wCPB21VD7zi37PnV8D5iwtB1/uVS8GoPPEDjpPDFycKhoOUPtW38Je3dWx4mKCqGDWdZ/C2VhJ1Rt/R46GEUQl6VMWMOWyu3A88nXkaCTu8Qz1XCkmLq3u4/jDzjOTH8u4jCEc9XOo/fkBK9K7g6NTPyxRHMFWsvRTx3sYceEJdXG04+Wk1BAJOc6F+UnhIA3PPjjie6YYPRyBVrY1/J1i80LK0leiElOGLcNBRqYhFCuiKaKIU8wkfs1gPPqwP24xA1BSquAXv7bwsQ/biU4Sr6n3f0DPDTcm9jv61BPD22U+y4QQM0F7R5+8mfS5K8ZEzKTPXdHveC6kfHUWT3x5P1XbU7He/aG1DG0t2nZ0C80HXkzVKxkF9On56Kx5HH/+NzFr5TM4m45TsOhalBp9UsLPUkwOHIEWtjf+g2npqyk2L+y3qN1oICPT5DzEKds2woOEQHlD3cjICAMYX4wV+1qewKotpNS6hGx92bjvZvWHL2ynyraTVnflhM2JSjH6SHKUOsdemt1HKTUvochcMWGK08qyRKevhmbXUXwh+9AXXMIcORLmwP5wQoUkN16l4We/NPO5zziRJrgfwG3v0PGNb6UldI3bLfPkkxeBmPE212Asnt7rmLF4OtY5y7Ef2z1q/VpnL+3TL4Cvpe9qokIl4mzrW5E1RQylZvCVhvbKt3qKMqZIPkG3DSkaJmf2WrpOv40sy+gsORQs2oSvuyklZC5BolKIE12bqXfsY4p1Ofmm2XHXg0kUSY7S5jlJrWNPXLsuUTmCL2THoE6spshoYA80YW9tQq3Qk2eaRY6hHKu2cFyFjSRH6fTV0OQ8RJevLiViUvQQjgY4bdtGtX0nucYZFKbNG5ff17MFZVvdx2lxVxKKXhyRFmPBQw/6WLjInNA1N9+iQ68X+OxnnHgnaMjZPR/U8/VvppGob9AT//Hj847smSaEmHFVHSFn5TV9jhesuw05EsZxcn/S+zRPm0/+lbf3P57qvvkFJ95oY96mfN743djUv7mYiIYCtBwY2No6xciJBL1Uvf4ABQuvIXfeekSFkpDPiav5BM0HErduTXHx4I+4qOx8lZPdW8k1TifbUE6GrmTEwkaWJeyBFjp91TS7jiY8mXGHOieEmDlLKOqj3rGPesc+lKL6TLXzfMzaPNI0OaMe2uMN2bAHmun01dDlqxuWS1mKSwdJjtLirqTFXYlKoSVLX0a2oQyLNh+tMvkuWLIs4Qy2Y/c3Ygs0Yfc3EZGGl9e83vQewnKANz3/7TmWocxnif5qALa4Hycoxz5PRBRsSHsP9kg7e3y95xH5qnKK1DMwilYEQcQnuWgL11AfPEY0weT8seTZZ/x8/JMGpk1LbAp+1dVa/veskk99wknlsYmT7mA0Cnz/R2Zuujnxz8hQSOZvfxl5KZYJIWYC3a14m6owFJb3Oi4olRRteg+GonI6dr9K2D3y7UulIY3sZRvJmL+K/mp7+Fpq8Xc09zleu7uLa782j9IlGTQfdRDy9f5D2fyHS1vkhP1uNKb+i3x5O+uJhlO7WqONq+UUrpZT4z2MfglLQV6q6puvM5qc7n6L091jV2hMkiNj/oyJEJVCNLuO0uw6iiCImNRZpGlyMGmy0CnNaJVGNAoDClF1xpZWRJIjRKUwESlEMOrFF7LhDdtxBzuxBZpGNOE+2PZMEp8uuUSkEJ3eajq954oqqxUGjGorepUVrdIUq8WjMKJSaHsKQSpENSIignDmH8KZApqxIprhaICQ5CMU8eGPuPCG7fhCNlzBDsLS5PqM7PRWT+jf90uJcDRAi/sYLe5jAKgVesyaXIyaTHTKNLRKE1plGiqFFoWgRCEoEUUVyDJROUxUihCVQ0TP/L2Hoj58YQe+sBN/2IEv4sAfdiLJyREIbsmGVZGDQlASPVNc1qLI7jlvVmTSEYnVcjEqLAiIuCRbz3kBgQrd5eSqphCVI3gkOzIyJtHKNM1icpSl7PG9SESeOBP+84lG4cc/cPO3BxM3dCgrV/LM8xk8+ICXX//Sg9s9vrs0N96k5WvfTCM7e3g7gw8+4KOpaeS/VxNCzAC0vvUc5e/8NAh9BUb63BVYZy/FVXUEV20lnvoTRHzx16JRaHQYS2aQNmU2adPmIyoHilWUad32XL9nVr2/DEezD51ZTfnq7D7nL3Ux4+2sH1DMhAPuMR5NihTDQBAo/PV3iLR30vaD3/YcttyyibRr1xGsqqP9J384d/wd15N21WW0fO3/iHR0oTAZMaxegq5iFqqCXEStBskfINTYgmfzDnz7j57rSqEg/ydfRZFmpPnLPyJqc/QdjyhS8H9fG7zNMJFlCVewHVewPWn3vNgJRb3Y/F5s/qbxHkqKFIMSivro9NXQ6ZuYBb1d0W6sihwMogVXNOZsaFZk4Yh2YFZk9hIzJjG955qzlGrmkauaQnekmcP+NwnJsYUAlaBhge5K0pW5zNAs5VhgYFOd8eaN14Ps2B5i1erEd8gVCvjgvQbueKeefz3k4+9/89LZOXbJNAolXH+9lo98zMis2cOXEbZuid/9Jjl1JSeMmPG3N9Cx+xWyV1zd73lBVGCevgDz9AVArOhXyN5JyGUjGgoih4NIkTCCQomoUiOqNKhMFjTWbFTG+GITu/Zt6TdfBlLWy0NhrztM+tRF/Z5T6y1jO5gUKYaDLBNqaEYzpTi2qCLHVrw05SUgy6hLCmJemWcyMNVFeUj+AJHO2EvWuG4V5hs2IPn8hJvbiDpdKLMz0c4sRzuznO4HHse7c1+sq2gUz7a3MV+3HuOapTifebXPcLSzylGYTQSOnUqqkEmRIkWK8cQdje2ymETreWImk5ZwNUpBhVmR2dPWpLCeuSb2OatAwRT1XCSivYQMQFgOcjywi9XGm8lXT+NE8O2enZ+JyFe+6OSFlzMxGIdnhGIyCXzsPgMf/qiBHduD/O/pAFs3B0dkcTwQSiUsWqzmuhu0XHedNiHb5YH43nfcSdtZmjBiBqB91yuozBlYZy0Zsq1SZ0SpM6LPn5KUvp2nD9G27fmk3OtSxN54FL+jDZ0lt885nTUXQVQgSxM3hjVFCoBQfTPaGWUos9KJdHSDKKIuLcJ/qBLdgjmoi/IJ1cdW5tWF+YTqm3tEj3vzdsJNLfgPH0eOnPtdT7v6ciy3X0fa1Zf3iBkAz5u7MW9ah3H1UpzPvc6FNjWGlYtj7balavukSJHi4sElnVkAUlggDHoxDbWgxR21oRY0ZCmLe9oaxXSicgSv5ATAosxGJWhwRDt6CZmzeCQ7ElFEFJjEdBzRiWED3x8NDVG+8XUXv/hVYmYAF6JQwNrLNKy9LFaAvqoqwp7dIU4cj3DqVITamghdXVLc1s5Go0BRsYJp05RMm65k4UI1i5ao0OmS5z759JN+nn5qZA5m5zOhxAzINL3yKFGfm8zF64ZuniS6D22ndetTgxYhu/ITMzm9rYPGg7YB21zSyDK1bz3KrOs+1ad4plJrJH3Kwp6aKClSTFR6hEpBHpGObtTF+QhqFZ633ka3YA6aqcWE6ptQmNMQTYae9gCS29srlOwsrlffwnLrJlR5vcNTozYH/iMn0M2fjW7uDPyHj/ecEzRq9AvnInl8+A8eG6WnTZEiRYqxxxN1IBHFKMZ2XSyKLADcUjeqqJp8VTl6MQ2f5MKksOI+kxMDYBAtZ67J5uq0ewbtRyVoRu8hksRTT/hZu1bNLbfpknbP8nIl5eW9p/eSBHabRLdNIhiQCQZlQqGYENJoBNRqSDOLZGaKaLWja5lfXx/l619LrsPqBBMzgCzT+tazuGoqyb/yVrQZeaPWVcjRRcvmJ3HXnxiy7Yr3TKF6Z6rGzGD4upuoefNhpl7+nj42kUVLb8DTWUfQlar8nWLiEqqLiRNVYS4cOIqmrBQkicDxKiLddtRTimHzDlRFsc+l88XMgEgSUZcHhSWtV5gagHvLTnTzZ2O8bHkvMaNfNO+MiNqNHJm4YRIpUqRIkSgyEp6oA+MZYWJWZBEliifqRIHqzLFMInIYtaClLVrXc61SiOWYBCQvbmnwxeVwPzs3E5EvfcFFTq5iWPkz8SKKkJEpJiU8bCTYuiXueZ896fbSE0/MnMHbXE3Vwz8nvWI1GRWr0KQPXZQxXkKOLmxHd9F14M34CzjK4LUNz4bwUsJed4iqcJApl93Vq/aMUmtkxlUfpXbbo7jbqge5Q4oU40eksxvJH0BVEBMrmvISwm2dyOEwobomNGWx8Ad14RkxU9dbzGjnzkC/uAJ1UR4KswlBo0FQqRCU/RetDBw7RaTThm7eTBQWM1FHLJTCsDKWf+bdngoxS5EixcWHS+qmUDUdEQVpikxc0S5kJNzRbmQk0hQZhORYGJL7vOT/szkwzmgnB/2bx2XsySYclvnIh+w8/t90Zs+Jv5jmZMPnlXn/++zU1iR/gW7CihkAWZLoPvgW3QffQpddiGXmYgwFU9Fm5CEo4x+6LEUJdrfjbanBcWI/vta6hMdS+VorZSuy6KpNjvPCxYyz+QSVz/ycomU3Yy2Z13NcbbQy45qPY6s9SOfJHXjaawcN7UuRYsw5YwJwNiRMPaWYwPHTAIRqG9Avnoeo16EqzEPy+XuS/xEEMj98F/olFUg+P/4jJ/AfrETy+pCCQazvvAlR148HvyzjeXMXltuujRkBPPcaCksa2pnlhOqbCDW2jtWTTxr0MwuY9rN78Ne2c+qTf0noWkGtpOLJL/c5fvjWHyOHUjtgKVKMFe5oN6hAL5owiRYawzFH2NgOjYM0MQOfGHNCPZtjA+CVHAAYFYnbGk9kPB6Z995l568PWFm46OITNC6XxL0fcHDk8OjYZU9oMXM+/o4m/B2xVVBBFNGk56BJz0Gp1SOqtbF/KjVyJEw0FEAKBYgG/QRt7QS625DjzXwagM2/P8kdP1+MMUtD02E74UDvSXjNrlQI2vmEvA6qNz+IMWcqefOuxFw4k7N1fdKnLCB9ygKioQCezjp83c0EXZ0E3d2E/C7CfjdSOLULlmJ8CNU1YbpyFaJBjzLDSqg6ZhEarIn9V11SgCovO5b8fwb94nnol1QQ6eym7Ue/Q3L3LgJmfedNA/bn2bYH801XYVi9BOfzr6NfugAEIZX4PxpEojTf/xKKND1Ks57M64Y2m0mRIkXyOWu1nKHMRyGocEbPzaGc0S5yVCW4JNuZkLRzNQbt0XbCcgiDaMaiyJ7QCf6JYuuWePedNn71WzNXXzO6RXrHkuamKPe8z87p06O3YDRpxMz5yJJEoKuVQNfYrVp+9tUNABRW9L8a8K15z47ZWCYTvq5GWg6+jKBQkpY3rdc5hVqLuWAm5oKZfa6TJYlo2I8UDiFFw0jRCMgSsiz3uEeNJcef//WY9zkREJQiunwLunwz2iwTmiwjmkwjKrMOlUmL0qhBadIgqpWISgWCUkRQiiDJSBEJORxFikSJeEJE3AHC7gBhp59gp5tAu5tAhxt/swN/iwNZGt/iX2cJ1TcjqFToKmK/l8Ga+jPHm0CSUBcXoMrJwr35XA2Ds2Fnvv1H+wgZZXZG/7syZ5A8Xnz7jmBYvhBNWQmGZfORwxF8bx9M8pOlkCWZrudiRiSCWpkSMykmBWqLHn2RFW2OCU2WCW22CXW6AaVJg8qoRWnSoNCqEFQKRKWIoFKADHIkihyRkCISUV+IiCdI2BMk4g4Q7PL0/PM3O/A12gm7xy7H5GxSf46qBADH+WJG6qRQmI5FkXXGLODc4nFUjlATPMQM7VIqdJdxwP867mjvgupWRS4aUUdbuP9SGxOZQEDm4x9x8P8+Z+Rj9xlR9B+hPGnYvSvEJz7mGBW76POZlGJmPPjRqpfGewgTHpU+Db01H116Pvoz/zRpWX3MAOJBEEWUGgNoDKMw0hT9oTRqSJuRS9qsXEzTstEXp6MvsMTESaIoBBQKETSxjxi1RT9ocykcxddgw1PbjetEG65jLbirO5EjYx+GeDapX7+4AskfINwaW/mTQ2FCTa1oZ5YjaNSE6hp7romcqQNzoWOZqNOS/p7bhuzTs2UnhuULMaxegrqkEN+eQ0i+5NlWpkiRYhIggL4oHfOsXNJm5mKYmomhJANV2jBW6YWYYEcNCojrHmGnH2+9Dfepdlwn23GfbMfXZB/yuuEQlSP4JCdWRS5B2UdAOrcI5DxTe8aiyKY5fLrPtXWho+hFE0Xqmawy3Iw7aiMk+1ELOnSiEaWgpjVc3UfM5KvK0Yg6lKhRCeeS7WdqlxORg4QJE5FDNIZOjOiakSJJ8POfenj9tSC/+JWZKVMn31Q9GJT52U88PPA374VVB0aFyfcdGt0VGeQAAQAASURBVCcC7tGJ87uYmH/Ht8Z7CCkSQGnUYF1QiHVRCemLitAXpZ+NBBxzRJUCY1kWxrIscjfEdkSkUARnZSu2PfV0v12Hp6YTxmDz5qwJgHbODIInq3vtBIZqGzGsWRr7//PCzHwHjmK++Wp0FbPI+cJHCTW2oEgzop01jXB7F8HTtWimDVwTK1hVR7ipFcOKxWdCzN5OyrPo8sys/NcHxuTn2rmtiiPfHMMd6gmykzehEGDlvz6ALm9kdSviQY5IbHvHnwk7U6J7JOgLLaQvKSF9SQmWikKUxvGzE1aZdVgqCrBUFPQcC9m82A82YT/YiO3tOgId7qT154raMIiWHvFyFk/UQZQoChQ94WgXUhnYSUekgSL1TCyKbIyChbAcxCe56Y400xLuazQ0TbsYrdB3Ya1IPaPn/2XkXsJkONcki4MHwlx7dTcf/4SBD37IgN4wTi/oBNm6Jcj3vuOmumrs8hBTYiZFiksIbbaJzDXlZK8txzyvAEGcuB+OolqJdUER1gVFlN27hmC3h843q2jffBLnsZbREzayHCueObOsJ8TsLMGaBoyXr0Dy+oh0nbMFldxeOn56P5ZbNqEuK0E9tZio3YVn2x6cz71G2tWXDypmANxbd5F+1y1Euu0ETiTH8c/f6sR+qAnrgsKk3G8wMlZMQWXSJhSqIqqVWC6bg3nVTHTluSjNBuRwhGCrHefOk3Q+sRMp2P9CkhyVUBi15L7nCswrpqO0GAh3urBvPkL7f3ckN6FfgPQrK0i/eiHa0mwEpYJQiw37m8foeno30gQxD7DMLRgTIQPQtasmJWSGSdqMHLKvmE7WZdPG7Oc1XNTpBnKunEHOlbHJu/t0B107qunYchpvff9CI14O+7dy2L+1z3EZiddcDw15fVekma5I85DtzrLV/XhC4xvuNckkEJD5xc88PPh3H5/4pJG73qtDrZ6Y7+29e0L89Cce3t4dGvO+U2ImAaatySZvthmVpm8Q4+u/Tb4qT5EiGSj0anLWTSfvmjmYZ+eP2+7LSNFkGCm8ZQGFtywg2Omh9eVjtLxwlEBbcotvAXT8/E/9Hvfu2It3R//FX8OtHXT+4R/9nnM+8yrOZ16Nq2/v9r1JzQtrfenYmIgZUakg+8oZNP/vUNzXWNfPp/C+TQCE2h14KxtR6NRop+aim5KDqaKUqq881K9wFRQi5T+5G3WuBX9VK6E2B/oZBeS8+zL0s4uo/eYjScnDEkSB4i/cgmXtbKRAmEBDJ7IkoSvNJu9967CsmknVV/6J5B/7F/iF5F41a8z6an0xVcw1EbTZJvI2zSXv6tloc9PGezjDxjQtG9O0bKbcvRL36Q7aXqmk7dXjhF2To6bLZMXWLfHdb7v47W883HabjjvfretTGHM88Ptlnn8uwKMP+9i/b/wimMb/OzFJWPuhaVz5yRl0nHKTPd1E+0kX1iI9CqXIvv/WD32DFCnGGGN5FkW3LiT7iukotBeX1aMmy0jpe5ZTctcy7HsbaHzyAN27J1+yZw+CgOmKlciRaNJCzM7SufUU0U+tQ6EfvYJsZ8m7anZCYsb+xmEURg2ONysJtTt6jmtLsyn/v7sxzC3GWFGK51Bdn2t1Zbn4Trdw/J7fEnH5AFBnmyn70XsxLZhCxnVL6Hp25I5wWbetxLJ2Nu4DNTT89OmevpQmHSVfvR3jvBLyP7iBpt+9MOK+RoKoUpB9+fQx6Stk99H9dt2Y9DWpESBj+RQKb15A+tISBGGSriQNwFlhU3bvGtpeO0HTkwfw1KQKY48mdpvEX//i5a9/8bJ4iYoNG7VcsU7DzFljN533eGS2vRVk8+tBXng+gCfJBTCHQ0rMxMni24t55puHOPC/Rr687Rruv+NNlGqRW364EHuTb7yHlyJFDxnLSim+YzHWRcXjPZRRRxAE0peWkL60BE9NF/WP7qFj88kJ44wWL6YNa1AV5OJ5622idmdS7x0NRujYepq8TXOSet/+SJuVi77QGnfSsBQM0/GfHX2OB+o6cGw5Ssa1i9GX5/UrZgBa/vxKj7gACHU4af3HZkq+eAsZ1y4esZgR1Uqyb12JHIrQ8PP/9eor4vbTfP9LzPj9R0jfMJ+Wv76KFBi/lcnMVWVjlm/R9upx5Oj41gjLeMctmNauxvbk/3BteWtcx3IhglIk58qZlNy5BMOUjPEezqgjqpXkXzuX/GvnYttbT+0/dsVCgVOMKvv2htm3N8xPfuQmN1fBilVq5s5VMnuOitlzlJjNwzDvuQBZhvq6KJXHwhw7Futv794Q8dabHytSYiZOTFla6g/EYuQlSUalURAORtn8u5O87y8r2PXwJF4VTnFRkL64hKkfWk3ajJzxHsq4YJyayZyvbWLK3Suo+dt2Orb2dcGZSGR86F0AKLMy0EwtJtJtx/Hk6Kzut750bEzEDMRCnWoe6CtQEiXUGQsfFHX9T9ClYBjvib7x8q49p0EGbVEmyjR9LwGSKPpZRShMOryVjUQc3j7nAw2dyKEIglqJbmou3srGfu4yNoxpiNnLqRCzfhEgd/1MptyzasLnwowWZ80MbPsaqPnrNlwn28d7SJcEbW1Rnn7Sz9NPnjuWlSWSm6cgN1ckN1dBZpaITi+g0Zz9B8gQDMZyc4JBGbdLpr09SlubRFtrlObmKD7fxF8cnJRiRpOegz63GG1mPqo0KypDGqJShaBQIkUiyJEQYa+LsNtBoLsVf3sjga42RpIx7LOHMGVqsDV4cbb4yJtjpmG/jaAvgiF9/NxHJhJ12x4b7yFckpim5zDt45f3cqC5lNEXWpn7retxnWij6o9v4jgSf4LoWKLKyUKVn4MUCOLbcwj7f59H8ozOLq/jSDP+Zge6Asuo3P98cjfOoubvO+L+uFXnWklfX4FhdiHqbAsKoxZBo0JUnXk9DRCZE+5295tbJPlDRJxelBYD6hzLiMSMtjgTAMPsIuY/9/VB2yqM41fkTmXRkbGsdEz6cp9sx1s7ssTvi5H0JSWUf2QtxrKs8R7KhCB9cTHpi95N22vHqf7LNoJdnvEe0iVHZ6dEZ6fEkcPjPZLRZ9KIGW1GLta5KzCXV6AyWRK+PuJz46o+iv3Y2/jaEs9xqdvbzfTLc6jfb+PklnZu+vZ83n6sjvJVWXRWJ8+qcDLTVZWqWD6WqNK0lH1oDXnXzb3oYrGTQdrMXBb9+g7aXqnk9P1vEnZMLOelth/8Zkz7a325kqkfWDXq/Whz0rDOL8R+sGnItukbF1B43yYEpYJAQxeeI/WEu91EfUGM80tJW1I+4LWDuZWddUATR5grptDHFqrCXS78tYNXGh+JaBopOVfORFCMPKQkHlpeSu3KnI8m08i0+64g+/JpQze+1BBiixtZa8upeWAHTU8ciBW+TpEiyUx4MaNJzyF39XWklc0d0X2UehPp81aSPm8l3uZq2re/gLcl/tCwLX88SdAbe3nueKiG3BlpbPzsLOyNPp7+xsERjS1FikTJ3TiL6Z+4AqVp/FaDJwu5V80mc+VUTt//5iXtwNT68jGm3LNyTIRv7lWzhxQz6lwrhfddi6AUafz1c9hePdjrvMKgHVTMCJqBX1+iNmZ2MNIcFikQcyjznWym7kdPjOheo0neGIWYSeEo7W+cHJO+JjwCFN6ykLIPrkahu7gMVpKNQqti2scvJ+fKGRz/6Supnb0kYFxUTum33o1rx3EafvKf8R7OuDNxxYwgkL1sI9nLNiIo+lohjwRDQRlT7/gEtiO7aN36NFJk6Bded/25eOmQL8Jj/69/e9YUKUYTdbqBmZ9dT+aqsvEeyqRCadIy6wtXkbW6jBM/e42Q49Iz7Qh2erDvayB9Scmo95V92TRO/voNpODAuydpi8sQlCK+Uy19hAyAOmfwnAN1RhqCKPQxe1DoNSjNsSJ35zukDYdAY2zSpS3JHtF9RhNDSTqm6WOTJ9e5rYrIAHWEBJUKw+IF6CvmoSkqRDQZkcNhIl3d+A4fxfn6ZuRQ/+9aUavFtGYlhoULUKZbEdQqom434Y4u/Ecr8ezdh+SLf2dVO72cnI98CESBjr/8HX9lcksnaLNNzPrS1VgXFiX1vhc7aTNzWXr/XVTd/yZNTx0c7+FMWFSZaUQ9/nE1FJlsjM2+dIKIKg2lN32InJXXJF3InEMgfd5Kpt7xKVSGxDzfFcoJ+W1LcZGTsWIKyx94X0rIjIDMVWUsf+B9ZCwfvIDlxUrrGIUIKfRqstYMvKsC50LAwra+sfSiVoWxonTQ6wW1EsO8vm3SlsXCfQINXSMO/fIeayDqCaApzMAwa/Rr9QyH3Ktmj1lfbS9XDnjOuHwJme++E/3c2cjRCMHqWiIdnajzcrFsuoqcj90L/ewKiloteZ//NNYbr0OZbiXU2kqwoQkEEd3M6VhvuQFBjH8eoJlSQs6HPwCiQOcDDyVdyOSsm8Gyv703JWSGiahSMP2T66j4wU2oUpEFfRCUCqb94T6MC1Lv+USYcDszokrDlFs+jD5/bCYbuuwCpr7jE9T853eEvQMX3xNFgTUfLGfJHSWYc3X8fMOruNoDzL+hkHAgSuWrrWMy3hSXHoIoMPWDqyl559JJW/ByIqGy6Jj/w5up+9duah/ceUnFcHduqybiCY6JhW/eVbNpf33giWSgoRMAw+zCXq5jok5N0SevQ5VhGrKPgns3UvPNR3oEkTrHQu7d6wDofmHfSB8BKRim/fFt5H9wA8Wfv5na7/2bQN15uTMCGOYUo7Iacbw18ER/1BAgZ/3MMekq2OXBtnfgfFPP23sRdTq8+w8S6bb1HFfn55H7mfvQlk1FO62MwKmqXtcZli5ClZ2F/9hxOv76IHI02nNOlZ2FKi+XqCe+5HF1YQE5H70XlEo6H/wXviPJE++CQqT8o2spum1R0u55KZO5cipL/vguDn/jmVTY2XnoZxUhalJhi4kyscSMIFC06T1DCpmQy0ago5lAdyshZzfRUAApFESKhBGVKkS1FoVag9qShTYjF112ASqTdcD7qS2ZlNz4Qar/81vkSP9hESvvnsryu6aw9z/1XPHRc4XJpKjM2g+WXzJiJnf6GnKmr0ZttCKFg3jtLdTvfQq/69wLPnfGWnJmrEGjtxD02mk9vpmOqt095yuu+zytx7eSllOOtXAushTF0XqCuj1PEg2fC2EomLuBrLLlqHVpPStz0ZCfE5v/gqe7YeweehxRmbTM/c4NY1LB/ZJCgNL3LidtVi5Hv/s8EU9wvEc0JkihCO2bT1JwQ8Wo92VdXIw6w0Cou6+lMYB7fw3+2nZ0U3KY8ceP4jlch6hTo5+ej6hS0v7Im+S8+7IB7+/afQp1fjqz/voJfKdbkGUZw4xCBJUCz6Faul/sK2asV1agSjeiMGh6uY8V3HsVUU+AqC9A1BPsdW3n07vQ5FvJ2LSYGb/9MP66diKOM25p2WYUBi32LUfHRcxYFxShzR5a9CWDtlcqB63fJIfCOF99o8/xUEsr3r37Ma1ZhaaosI+YUZhi4w/U1vUSMgDhjk7CHZ2DjuvsNarcHHLu+zCiVkPnQ4/gO5g8Cye1Rc+8796AeW5+0u6ZAnT5Fpb87l0c++GLdG2vHu/hTAiMC1M7MsNhQomZrEVXkDa1/1oI0WAA2+HtOE4dJNCZuNWqLrsQ8/QFZFSsQlT33drU5RSRu+o6Wt/8X7/XL76thP996xCntrb3EjMdp91klBoTHs9kJC27jKJF11P11kP4nO2otEbMOdMI+c8V+cuZvprCiqup2/MUHlsDxowSSpfcgiAoaD99rvZE6ZJbaD2xlWOv/Aa13kL5qndTMHcDDQeeAyCzdDG5My+n8pXf4nd3klO+kuJFN3Dw2R8RCV4a+Q76QgsVP7wFfaFlvIdy0ZK+pITFv30nh7/6NP7W5BarnKi0vnRsTMSMIArkrp9Jw7/73yGRoxLVX/4nuXddTtrScswrZxD1BPAcqqPt4a1EHF5y3jWwmHHuOoVz5wly33M55pUzUZr1hLtc2Dcfpf0/2/st6ph397p+d3wyNp1bbZclubcQkqHp9y/i3HWKzGsXo59RgLYoi6jHT6jVjvtALfbN4+N9mrtxDGvLvDR8sRaxOwAQtH3fvcHa2G6P+crLiXR24T14uF/L7YGQA0GUGRnkfuIjKPR6uh5+HO++A8Me64Xoi6zM//Etl2zdmNFGoVMx77s3cOpXb9D8bJL/jgSY/ciXCDZ3U/35v/YcznnvlWTdvgZfZQM1X3mw53juPRvJvHklpz72O0Itsd1FUa8h69ZVpK2chTrHihQK4z/VTOeTO/Ae7msipTQbsKyfj2npdLTF2Yg6NZI/SKCmje4X9uLaebzPNabF5WRcvwztlFyU1th8svgrd/Rpd+zW7/f5XJMlCXVeOjnvvRLjvFJEg5ZwlwvXrhN0PLKlx8TkfBJ9Jk1hJtN+/3HaH3qdzie2k371ItI3LUVdkIEcihBo6KD1/hcI1A/u+DiaTBgxo0qzkrNyU7/nbEd30b79BSL+4fuU+zua8Hc00bVvC7lrrsM6Z3mfNhkL12I7uougrW+RJ3Oeju66vv3LsnzJ5NCISjXIEPK7CXq6CXq68XT1DjsomLuBlsrNdNXFJgMBVydaYzoF8zb2EjNeWxNNh18GwO9sp6vuAMas0p7zxqwSvN2NPTs+XXX7KV16KzpzDu6Oi79AqWVeAfO+f2MqpngMMJSks/j37+Tw1/6H63jbeA9n1HEdb8Nb342hZPQrk+deNXtAMQMQ9QZo/vPLNP/55X7PH7rh+32O+U40c+j6c8eb73+Z5vv7v/5CKu/+dVzt+sO9rxr3vomzeqzQKMm+bGzsgJ3HWvA12Ydsp8zIwLh8CdqppSjT0xH1OgSVCkEZm2r0Z6TnP34C9/admFavJOue92K1O/Ds3oNn5+4eETQUOR/9AIq0NOzPvoDn7eSZ86Q+h8cGQRCY8f/Wo7bqqX1oV/JuLIO/phXdtILYL98ZkayfWQSyjLY8H0Eh9ggE7ZQcor4godaYkFFajUz5wd1oCjIItdpw7zmFwqzHUDEF44IyWv74PLaXe3++pV+3lOw7LyPqDRCo7yBi86DOs2KomIKhYgpNv3oaxwWLH3JEwl/bjr+2nbSl09EUZ+HaeZxgi613u352RpUWA2U/+yByRMJ7tA5Bo8Ywp5jMm1agm5JD7Tf+2bv9MJ6p59p0E3kfvJr0TUvwVjYQbOpCnWdFP7OIsH186whNGDGTvWxjzwfe+bS+9Sxd+zYnrZ+I30PTq48TsLWTt/bGXucEQSR72UYaX/pXn+tsDV4K5lh6uZoBzFqfR9vJS2NF19F6gs6at5lz9SfxdjfSWf02XXX7kKKx0DyVxohKa8Lb3bsKtqe7kYJ5V6HWpRHyu3qOnU805EOpOvfC8DvbSS+uQG2wEPI6sBbOQYqGCTgHDzm4GEhfUsK8792IYhDr2RTJRW3Rs/Dnt3P4a//DfmD8qriPFa0vVVL+kbWj3o9xaibG8iw8VRf/3+1Yk7W2HIVePSZ9xWMcYVyxjIw7b0NQKAi3tRM4XU3E6UQKBNBNL0c3e+BdpO7Hn8C77yDmq9ajmzENyzUbMV+1Hu/uvdj+9xySb+DdeOuN16Ewx0x8DIsW4Nr61oCuaYmQvrSEiu/eiJj6HB4zprx/JaJaQfVftyftnv6qVgxzS1HnWgm12hAUIrpp+bjePkXa8hloS3PwV8fSBLSluQSqW3sK/hZ88gY0BRl0/mcb7Q9v7hFDurI8pvz4HvI+sgnPoRpCbeeEvu35twnUtuPecwo5ci5sMvOWleS+fyOZt6zqI2Y8h2rwHKoBYk5mmuIsHFuO4No1tHmFYW4prt0nafzZEz21t9TZFsp+/REMFVPQzyjEd/KcTf5wnuks5tWzifqCnP747wl1OHqOK9NNRMexzhZMEDczUa3BMrNvUl3XgTeTKmR63XvfFrr2b+1z3DytAoVG1+f4m385zfXfrGDDp2PJlgtvLuL2/1vEFR+fztY/nR6VMU44ZJm6PU9y8H8/xNFygoJ5VzHv2s+j0sbCNnrE6ABJ6tHouReMFBk8R6Hj9E5cbadZcONXWXzbd8mbeTmn3/wH4eDFXUU4c3UZFT+4KSVkxgGFVsX8H91MxoqL3+ms7dXj/YZhjQZ5Y+i2dSmRu3Fsvq/RYISOzacGbaPMyOgRMl2P/JvmH/6Urkf/jeOFl3G9sZVg49Ch4YGqatr/8GeavvdjnK9tRg6GMK5cRt5n7ut3ofN8Ov7yd/wnTqEuyCfzXX3DcxIlc+VUKr5/U0rIjAMl716W1OK+PULljL26dkouokaF/ZX9AOhmxPJRlVYjSrMef1ULAJqiLEyLpxFqsdHxyOZeoY/+6lYcrx1EUIhY1y/o1V/E6cO183gvIQPQ/cxu5KiEpjAzac8GsXDdlt8/16uIcKjDgfOt2AKErjyv5/hwn+ksSquRlj8830vIAERs4184fkKImbQpc2IhTOcR9rpo3/niqPbbvvNFwm5Hr2OCQompn7ydIy808+/P7aV0SQZBb4R1H59BZqmRxz6zl1Nv9g1Lu5gJ+Rw0H32VQ8/9BFGhInPK4thxr5NwwIMxo7hXe2NmMSGfg2gosQrshvQiTrzxJ/Y98U2OvPgLHK3JtdicaGSunMq8b1+PqBotO/IUQyGqlVR890YyV1/cSZghmxfbnoGdqZJJzvqZCGLKhi+ZqDMMWBcXD90wCXS+eZqIr2/c/fnoZs9AUCgI1jfg2fV2n/PK9IENeC4k0tWN/Znnaf7+jwm3d6DKzcGwcP6A7Z2vb8Z35BidD/6TSHc3hsULMV95Rdz9XUjmyqnM+84Nqc/hcaT0PcspvWtZUu51VpycFTP6WUXIkoz3cC3hDif66QWx81Nyz7SPiR/j/NiilvdoXb/hXYH62LxPW5Yb1zjkqETU6UVQiAiK5E29AzVtRJx9TVbCnbGIIVF/LuJlpM8k+YJ4j9aNdMijwoRYdjAU9a1HYD/2NlJodB2GpHAI+7HdZK+4uvd4CqbiON437rZqeydV22PhEv0Va7vYSS+qQKHW4rU1EQ0HMaQXolTrCbjPhpDItBx7jcKKawh67GcMAIrJnXEZ9fv7N1YYCI3BitaUQcg3sF12shEEEVHVv2VtokIsUawLipj7reuS+iGXYngISpG537yOw199Gtu+i9c1r+WlY2OyC6W26klfWkr37os/122syB1DgRhPiJmoji1GRl19V2gFtRrd9MFrDvVH1O3Bd/go5o1XorAOLYYkn5+OvzxI3mc/ifXGawk1N+M/mVjUhKWiIPY5fInkwU5kpn5wNcFu74hrY4VabUR9QbSlZ8TMzCJCTV1IoQj+qmb0Z3ZmdFNihWfPih9VZix00XrVIqxXDWzHrTD0jeQxLirHvHo22ik5KC1GRJ0aUa1EUCZfIIcH2hWRzuy8n/cxMZJnAvrsyEwkJoSY0Wbm9Tnmqj46Jn07q4/0ETP9jedCLjUhAyBLEXKnr0FjzEAQFQS9NhoPvYC96dyHTdvJbciSREHFVT3WzI2HXqCzuu9q3WCEAm78znbm3/ClWN+yRNDTTePBF7A1Hknqc51Fn1nIrOs+3e+5vQ9+blT6BEibkUPFD25CVE+IP8e4iAYjBFqchJw+ov5w7F8gjBQII0UkFFolCq0KhVaFqFWh0KnQ5qShyTIi9JcFPMEQVQrmfe9GDn7hSZzHWsZ7OKNC944awq4AqrTRT27OvWpWSswkkbEqlBlod2E/OHQOWagttqKrmVqKwmAg6o2tFIsaDRnvegcK88BOYMZlS4h0dROoresV9qIwm9HPnwdAuDW+0gehlla6Hn6crHveS9Y976Xlp7/qVfNmMIzlWZPqczjqCxHodBPs9BD1hYgGI0ihCNFABDkSRdQoEdVKFBolokaFyqRBk21Ck2VEHIVJ9Wgw83MbCHZ7RraLLEOgphVNYRYA+ukFPfkpvlPNpK2ajcKoRVOSTdQbOJcrcuY9FahpI1A3cPRNr9wSQaDoC7fFcks8Adz7q3DvPknE7UcKhMi79xoU+iTX+EokXHg4z3QeYxWaPBwmxF+tOq2vq06gK3H75eEQ7G4jlu11boKlTktP6B73/H0Vf79nx9ANJzn25krszUPbc7af3tHLuexCDj//sz7Hmo68QtORVwAQRAVzrvok9uZKTr35IFI0jCgqSS+ZT9mqd+P4zzeQpP7rAY0Ehar/1YjRRJttiuXI6CZokSwZPLVdOA424q7qxN/iwN/sJGjz9CRJJoKoUqDNM6PLN6MvsJA2Ow/r/ELU6Ybkj32EnM2h2Xvfo/gah3ZymmxIkSjtr5+g8JYFo95X1uoylHr1kOFK40lmkY4Vt+RSOMeEPk1J5Zs2XvpjHQA6kxJdmhJnR4hoeHxf6MapmRinJjfufiBaX66M6+88cPwkoeYW1AX55H/tCwROVyNq1KhLihGUShwvvoJl01X9XmtYvBDdrBlIfj8Rm52o24PCoEdVkI8givgrT+A7Gr8ttPfAIdRFhZg3rCP73nto/cVvhjQE0GQZWfDjW1AaRr+YbKJEfCHcpzpwn2rHfaodT20XwQ4PEe8wI1cEUKcb0OWkYZqRQ9rMXNJm5KAvSp9wRZkFhcjcb1zHno89gr/ZMez7+E+3kn7dUhRGHapsc09CvP9kbJ6pK8tDW5TVE2IGEO6ORYX4TjXT8sfn4+rHvGoW5tWzCbXZqfni34g4eyfF5997zbCfIRkM55kmCxNCzCguqPsSDfr7FM8aLWRJIuL3odSdm0wp1IlNaosWxB8PPFb8Z3M+Lz7p5YHfjr7T2h13m7j742auW940dOM40Fvy0VvyOPbKb5Ei5yY/jpYTFM2/FqVG3+OKlkwU6rF9kSl0Kip+ePOEm8gHuz10bj2N/WAjjkPNhN2BoS+KEykcxddgw9dgoxvgiVg9CH2hFcv8QtKXFJO5cuqEWR1VGjVnBM1jhJ2jG2o4HrS+dGxMxIyoVpK9bjotz4/NjnuirL4zn3d8fToK5bnZXEfduZ/3tGUW7v3dPB79xgl2/Hd8CySP1a4MMrS9HJ+IkCWJtt/8Ecu1V6OfMwt9xVwkn4/AqSocz79E1OPBcs3Gfq91bd6KFAyiKSpAlZ2FOj8PKRAkVNeAZ99+PNt3JVR3BsD+7AuoC/LRzZpB5rvvpPPBvg6lZ1FolFR8/6aJ8zksg7uqg64d1XTtqMFd1TGshaPB7h/q9hLq9uKsPPe7rDRqyFwxhaw15aQvLZ0wC2xKo4aK793I3vseJeofnkudv7oFUa3EtDRmZe47cUbMVLciRyW0U/NQ56fjfn5PzzXeQ7GdZGPFlF72zYOhPROq5tp5oo+QUeelI8axK3M2kV8YhZyt4TzTZGFizBjE3vGpUnhsq3HL0d5/IIJCQfGi+HZnRIVwydSZGSuC3m6kaJjcGWvorN4DyOjSciicvwmvrWlUhAyM8c6MAHO+tmnMVliHQgpH6dpRTetLldj29J8cOJr4muz4muy0PH8EpVFDzroZ5F49G/PsoUM+RxtdvoV5372Bg59/Aik8NossY4X7dAee6k6MZVmj3lfuVbMnpJiZvsLKnd+aQSQoseM/LbSc8nLnt6b3anPsTRt+d4SKjVnjKmbOFiIdC+yHmoYsJLvw9m9Tv+cpcmdehiG9kJDPSeM/XsBWf7CnTd7sdeSsWYNyZwRdqIxQeiFeW2wymZY7jekLP8D+h77Za+GqbPW7UQkCrdt2nLvHzDUo1Xq8tiYa9v6P7v88Rfd/ngJAby1g2mV3c3LzX5i68k4M6UWE29wce/C7hAd7Xwgw68tXY5qWPczvUvLwtzppefYwba+eINg99q6dEU+QttdO0PbaCUS1kozlpRTdtghLRcGYj+VCDKUZzPz8Ro5974VhXX/W0eystXCwKZbnKwXDBOs7MFaUImrVvXZmAvUduHafJG35DPLuvYa2B15BOs8xTFAqMC0ux3u0nqg3tuB3NuleU9T7va7Qa8j/2HVxjfVsjRvT4mk9jmTJYjjPNFmYEGJGCodQaM7tzih1xjHtX6nrXRFaioT44D9Wj+kYUpwjEvRxauvfKay4mvzZ6xEVSkJ+J86WkzQdia843nAYy52ZkncuJXPV+DtmRbxBGh7fR9P/DhFJ4g7MSIh4gjQ/e5jmZw+jL7JS+p7l5GyYOa65NpZ5BUz7xBWc/OXrY9qvQgmydC6XczRofekY0+67YvQ6OINlbgHa3DQCbWNn6hEPGz5YjBSV+eV79tN4LJZMe6GYiYYl2qq85JWP7+q9dXEx6oyxGUO8idely2+nZvujeLrqySpfxtRV78TVXkUk4CGrfDmZZUs5teUBQl4H2dNWMGP9hzn8zE+IBL2xdiE/loLZPQJIEBVYCudQvS22mzLUPc6i0pspXnQDDfueJeDqRJ9ROLiQAYrfsZjsy6cP2ma0se2rp+nJg3TvqkVOcAdqtJBCETrfqqLzrSpM07Ipum0hORtmjasrYc66Gdj21A/LEOCsCYBxYRneI3W9drp8p5qxblwIQKC6d35k82+eQfWdu0jftIS0lbMI1LYR9QVRZZjQFGej0Gs4de9veib+rl0nyL5rHaYl05jyw7sJ1LShtBgxzp9CsMWGt7IBw+zBXQjtbxwi8/Y1WNZVoCnOItjUhahRodBr+hTAHA6JPtNkYUKImYjP1UvMCAolSp2BiL+v3VyyUeqNCIre23kRb+yF9surX0OKDv7holCKfOal9aM2vpEwQT4Xh4Wz7RTOtsFrGySbsdqZscwrSKqP/nCQghGanj5I/SN7khpGlmx8jXYqf/QS9Y/sYeoHVpG1NnFXpGRRcEMFzqMttL16fMz6fLu6iAf/6OK3Px58hfz+R7MIheBTdydenLLttROUf+Sy0XdwEiB34yzq/rl7dPtJkNL5adQedPYImYFwtAcpmmMatM1oM1Y1e6L+MJ1vxucE1lW9F8eZXMrWyi0Uzt+E3pKLq62KvNnraD78Mj5bLDeh5ejr5M6+AkvBbLpq9oAsY6s7QHrJ/B4xY86bgSxFcbacBBj6HmcQFf+fvfMOb+ss+//naEuWbHnPeMZ29t6zmd3QzeiAUqDMMspeLz+gzBdeoAUKBdpCS/eiK0nTpEmz904c770t2drz/P5QY0eRh2RJJ07iz3X1anz0nOc5lqVznu/z3Pf3VtB2ZjvWrkCyeF/r8M+PxMlZlHx6WfhvSoyxnG2n6tHtmI7EJjw7XlgqOzj1y400PH+Qsi+vwjgz76JdS9mXV9F7ohl7kzmyE0VwVreSML0wqIAkgONsEynXzMVndeBuD+7XZ3VQ853HSbl6LkkrpqGbNAFBIcdrsmI/3UDf7jNBbmLeXju133uSzLtXo5s0AV1ZHp7uPkybj9Dx3DbSbl4yopjxmqzUfu8JMu9aHcjlKczEZ3H07y5FS6S/06XCmBAzbnMX6uTgbV59QTnmM4fiPrahIHTL3mXqwGn1YG4JL0be6xqbcYcarcAv/pzO0tVaHHY/Lz1l5bH/M/eLnAlFCj7zVSNzFmowpsroavfx6jNWnvhT8MSpoFjJ579lZN5iDdoEga4OH889buE/jw2+6qVLkPGHf2XgcYs8eF8HDvuloarkyvi7Oin0aqb+4LqLasHcuaOKs3/YelFCGUaLrb6b4//zOonlmUz+1tUkFIWahkhB+dfWYDnbga2++6KMPxRWi8jMuaOrBu/pddC1p4b0ZfEXilnrpow5MaNUy7D2jByLr9Er8Hku3r1MrlWSJsHfCKDjvbP4nOHlJzjM502yRBG/z4NcqUGQydEY0ihZdhcly+4KOkedMJBn2l17iMlXfwmZQoXf6yalYAbddUcQRX/YfZzDbgpvwqfQq5n2w4tjwezusVH11/dp23w6trkwccZa08Whr71A5qpySr98FSqjTvJrkGuVTPrmeg599fmI37vaH/xr0OOmd49ievfokOeJHh/db+yj+43wHFldTV00/OL5QV/reGYbHc+EFmu/EGdtO/U/fWbYNtZDVZz48E+GfL3zpZ10vrRz0NdG8zsNN9ZYYEyIGXtrPYai4BWnpNJZkoiZpLLZg1xPHb9b917YfRx8WZric5HykXsTefgXJv76WzPT56r59kMptDR6eeOFwCTWbhXpbPPxgwc66e7wMXO+hh/8KpWzJ93sei8g5NIz5Tz2UhaVp918+/5OOtq9lJSpMPcE5w6cE0gJ+oCQsfT6+fbnOnG7Lp279YVGFPGg7MurUKdLG0Z5Dp/DQ+Wf3xuTeQvh0lfRzv7PPU3xp5eSf9tcyd135BolU39wLQc+/wx+79jJn3E6RBKNo5+Ytb59UhIxo8szkjQlOyjx+GLT3eQkd5J+2NphSo2MvMl6WqviHy0wFBkry5BLVJE+klAev29w0SMIAghQseUxLO1VQa+J58VN2nqacNtMGHOnYGo8TnLeNCq2/j2iPvqP+cJzuSz78io0WYlhtY0lXbtrOP2bTXjMl66ZSPvWCszHmpn6o+swTpc+n8Y4PZfcG2bQ/PoxycceZ+wyJjLXrQ2h28GJJdNIyItvToG+oBxD0eSQ4301p3BZw7f+fevnY3NyuH+Hg5f+baGu2sPrz1vZ9JqN2+8ZCJPo7vTx8C9MHNnnorEuIHKqKtyUTx9Y4b35TgOiKPLNz3RwcI+Txlov7220c2R/sEmD0+EnQS/j4acy6Gzz8c3PXFpCBuK/M5O+rISsdaGfNynoO93Gvs88dUkLmXP4PT6q/rKdww++iKtT+t0lfUk6Rfculnzc4SgsUdBrGv0Ocfe+Otwm+8gNY0DW1RK5cYXJkU2dpOdrueGBImTyUHUsVwjc/K2JGFJVHHhz6NoM8Uaqe4ej2Yz5ePSlEfw+L05LN7rkHPw+b9B/ohj8We2qPURK/gwMmSV43Q6snXUR9xEuaYuLJb8P+91eKv6whWPff+2SFjLncHVbOfz1F2l4/uBFGb/k/uWS5Y6Nc2kwNnZm2upx93ajSgoOHclb+xGqX3gEry32CaPKxGTy1twRctzR0YSz6/IokldbFbxiVnnaw1XXDGwN6xIEPv7pRJav1ZGVK0cuF9AbZOx8d+BmWz5Vxaljbuy24YWJ1wv/+/d0MnMU3H97O17vpSVkIL47Mwq9mvKvrY1b/8PRuaOKkz9967Jz4jIdaWT/F/7DrF/dIrkrXP5H5tG1qybmBTW1OoGFy4M/h/lFSq66evB8LrVaYOkqDZOnq9ixZfSTJNHnp+2d0+TfMXfUfYRL5lVlVD7y3pj5PG7+RwOzr05n/f0FzL4mg8p9gZpCueV6PvI/ZZQvTiG9QEvDCQs7n7s4zwZNhgHjLGlyFVrDtGMOh5bjm8ifdxOO3nasHTXI1TqSssroqj0Y5F7WXXuQ7OsfxOO00F17cFR9hINCr6b869LmuHotTo5+/zV6T1we84pziD4/VY9ux91tY+LnV0g6tkKnouTTyzj9q9gbAr21MbxnSU21ly99wRzz8S9HHvmzkeKS8OTGdVd3jWqMMSFmALoObSNn1S1Bx1TGNEru+DJ1r/4NlynyxNah0KTlUHjTp1HqjSGvde7bHLNxLjayC5xHBCHYFOB/fpdGUamSn3+7m9PH3bicIv9+Kzv0nDAWwApLlOzb4aSgRMkD30/mtz8Or+ryWCKeOzPFn1qKKln6GOPWt09y5rfvSG61LBXubhuHvvo8Mx76sKQhD4JMYNI31rLvM08hemOXM5dolPHQH1LRaAe+u6uv0bL6muHNKawWP3/6dXQ1pVo3nJREzCgMGlIXF4edYB5vnFYvf/jEYT7+s0lMXZFKekHgvc6brCdvciAk9Ni7XTz9/TN43RcnPzJz7WRJ3PxEUaRtU+zETFfNQWRyFflzbkStT8HrtmPpqKWr5kBQO5e1B4e5jbSS+Zx6+w+j6iMcSj69FHWqdGG+rk4rR779Mra6sZVjF0saXjiI6Bcp/eJKScfNXj+FpleOYDkb293SyVPGzLT4sqG4RBH393XM/NV6TuwhbfYKVMZgVaxKSqX0rm/RdWQ7nfu34HOOPmZZkWAgY8E6UqYvQZCFRtjZmqrorTo+6v7HGoUTg4telU1R0Vg7ED635CptIMzsg5AxlUogNz/4I1Fd4eaG2/WoNQIu59AT4u5OH7/7fz28/YqVvz6fRW2Vh5efurQcMeJlzayfmE7uh2bEpe/haHjuAFV/fV/ycaXGa3Vx5FsvM+1H15O2uFiycRMKUsm/fS71z+wfuXGYtLf4uGp6MzPnqVi8UsMnP59I9VkPZ08NnpfgcoqBENGXbHR1RLfTYavrpq+incTyzKj6CYfs9ZPHjJgB6Ot08+j9x8gqSaB8cTLJWWoEmYC5zcWZ3T20Vl68XBmQLsTMdLABZ0f49+3DL/445NjB574f9HNH5W46KneP2NepjQ8P+dpIfdhNzex76sFh+9eXpJNzg3T3YWd7H4e+8nxE7+elSuNLh5ApZZR8drl0gwpQ+oWVATOAK4h588MzerHbRU6dHF2R0UuRMSNmRJ+Xps3PUXTr5xGEYKEhyOWkz11F2uwVWBsq6as5gbOjGWd327AFNuVqLerULLQZeSSVTEeXVxzS9zl8LgdNm57lkrIXGYF5SzTcfo+BfTuczJinZu2NOn71/YEdk+YGL4tWaNn6th1dgoz7HzSiUASv/r30byu33m3gl39J5/FHejF1+8iZoECrk/HextAY+9PH3Pz4a1389OE0muo87Nsxdm1/LyRe1sxlX14luT9/y5snrgghcw6/y8uJ/3mDWb+9VdIdmsJ7FtG+pQJne+xCYT0ekQO7XRzY7eKGWxN4/13HiNbMsaJ1w0lJxEzqgiKUSVo8vWMrf6Ct2kZb9cUVLhdiKM8koSC8Is7RMpoaHtGgUulxu6XJeyt7QLr7sNfi5Oh3XrkihMw56p89gL40g8xV5ZKNaZyRS/KcfEyHGiQb82Lzwsvh3QtOn/KOOmTrUmTMiBkAW1M1be+/TvaKDw/6uiCTYyichKHwnJ2yiNduxe924fe48Hs9yBQqZCo1MpUGhTa8BDHR56PhjSdw9116oVHD8f++3sW6GxP48veScTpE/v1oX7+TGcBPvtHFd36eyis7cjF1+Xjqb30hq7ttLV4+e1sbX/hWMn/4VwYqtUBnm49//3XoyduWt+1M+F0vv/hLOvfd1EZd9aWxOiBXxn5nJm1pieSOL6bDjVT8QdrijheD7Uez+el3zbzzVmBC7Pf6OP7D/zLvTx9Dm2uU5BrkagUln1026srUIzHUjky8aN9SQekXViJTykduHAWCQkbm6nKaXjkS13EuB7Il2pXxWl107qiWZKxzLFr5Xbq7ztDWdICeropRJ/WPRMbKUsnuw36Pj2M/+C+2+strPhEOZ37zDvqiNBIKpbPOL/7kYg5eQWJmnMEZU2IGArkzMqWazMXXhNFaQKEzgG70hcz8Xg8Nbz6BtXHshDzEgttXBZINt24Y2qHo1FE391w/skVq1RkPX/9Ux5CvP/+kheefDF6BevLPvTz5Z2lWk2OBIMiQxVjMCIJAyX1LY9rnSNibTBz/8RsxzeO4lPD0OTn63VeZ+6ePojTE32obIPOqchqfP0hfReydrp593II3fGPFqPFanHTuqJJkdfVczPvFJm2CFofFi808tHDUGhSk5mroaXFi75PuDyLIZWSuDq2FFg/at1bgd0v4YQP2vv8bMrNnUVR6NWVTb6Gt+QBtzQdx2GO3oizIBIrvla5IccX/vRsTN7hLEZ/Tw/Efv8GCv9+FTBHfBZFzJE3LIXnWBExHGiUZb5yxScysmVWJqWQvuJbi6z9D6S0PkDV3ff9rcrUWlSEFQRbeh7tj7yaaNj2DGOenuKfPRM3zD2Opla6i9zhjk1gLGYDMdZMlXaHyu7wc+/5reC2XTmhfPLA3mTj5k/jslAyKACX3x8fNZ+d7TvZKHKrZFkM3q+GQMnxqONZ9Jp+Hti8hp2zonXxDmopvvzKfa75QKN2FAakLClEa4xP+eiFSh5gBuJxmGmrf48Cu33PsQKC2zLTZ9zBrwf1k5swJe84wHFnrp6DLl+Zz1rHt7EV5H8cS9oYeGp6N3JwhGibcPkfS8cYZe8REzKROWczkj32HzLnrSMyfTEJmYZDNsj6nhCl3/YCU8vlh92k6tZ/Kp/8XW2PVyI0jRBT9dB/dwdmnfo2joynm/V9KyFUa1IlpqA2pyBSjqyB+ORBrW2ZBECi8c0FM+xyJmsd3YW80BR2bNFXJm+9nUlCs4MmX0zlQlcPG3VmkZwxMEj75OT2b9mSx90wOT7yYzpTpwcYRMhl89buJvLs/q//8L39zoODc9qPZrL1Oy3/+G+j/+bczQvpQKAS+/v0kth7KZn9lDo/+O5UJBQMbw1sPZbP+ei3/eiXQx5vvZ3L1DQOTOKVS4Me/MrLndA5bD2Vzz2f0wxpS9Bysp+UN6cw8kmflkTK/QLLx4knP/npcXdLkMWStv/g1Z4rnGLH1emmtGnoXu6PWTkednUlLpBVfWeulCTGz1ffQd7ot6NiMGcohWscHt9uKx23D43UgCDJy8hezcPm3SDTmj7pPQS6j6BOLYniVQ+PqsnLmd5d/eG841D29D0erdJEZaYuK0eUZJRtvnLFH1GFm+txSJqy8Db/XS/epPTh7WslbcVtQm7760/jcTpKKp9N9ek/YfbtMHdS89Gf0+WWkz12FPr8s4BU8SvweF+aKw3Qe2ILbfOUkRl2IIJOTOXUlaaUL0CSm9x8XRT/27ibaT2yjp+5IxP2mlsTf1jVeKHVJMe0vbflEdBOSY9rncPSdbqPxhUODvpaRJecbP0jitz/rpb7Gy+RpSjo/yI265aM6brojgQfu66atxcdtH0/g0afS+NCqdsw9gVC162/Ssf56LZ/6SBc9XX6KJirQ6YK/h9/4YRLf/lIPzQ0+vvCggd/9NZXrV7RxriD3F79hYPlqDZ+/u4vuLj/3fk7PX/6dys1rOvB4AqLkh78w8oOvmTh6yM3NH9Xxs98ls2+3C1O3n3s/r2fxCg333t5JT7efb/1PEumZw6/aVj66nZQFhWgyRh+GGgmFdy2kZ399TPvMzVdgtfiHLYhpSJSRkyentdlHX2/04YXn7HkLPh5/MZ65ZhI1f9+JKF4845WkDBW1h3tHtC/vbHBQNCu294nhUCSoJXPnG2w3YeNbaVSc9fL8C3ZeeslBe0fsQ1cFQUZKWhlZufMwpk6kq/0E1af/i6UvEKaVkT2T8mm3s3/Hb0fVf+bqcjSZiSM3jAGnf7Ppit8VP4ff5aXyz9uY8dMPSTOgAHk3z+bsw1ulGW+cMUfUYiZz9ipEv5+qVx/G3hnY5bhQzIh+H86eNjTJWaMaw9pwFmvDWZT6JAxFU9Dnl6HNyEOVlAIMLW5Evw9XTzv2tgas9RVY6k7j90RWZOtyQ5ArKF//OfSZRaGvCTIS0vIpvupudCfyaDrwRkR9Fy3/eKwu85Kn4GPh70JGi9/j4/SvNw05IVSrBf79dyvHDgU++3t2DDgA3vs5A3/+vz7OfGDh+Pc/WfjE/XpWrNbw3xcDK9XaD4SL3SZi6fP393M+rz5n4+jBwPHf/ayXDx/VsXCJml3bXSiVAnd9Ss83v9jTP85vH+rlmg9pueZGLa+/HBjnvy/a2fZuYDLw5F+tfPmbiZSWK9m3y8XNH0ng33+3cvpE4Pz//Wkv664bPvzGZ3dz5n/fYdavbxm2XawwTs/FOCMX87HYxcvf+4VEbrhNx103tFN1ZvCcjpQ0Gf95O4un/27hdz81x2Tc1g3SiBlNhgHj7AkX1Y1IpZHhsI5sa+20eFHrpMkDAMi4qgyZKv5praJfpO2d0FDrteu7+MgdWj5/v57vfSeRbdtdPP+Cgw0bnbhcsRGfi1Z+B5/PQ0vjHipOvoTXE+xu19F6lLIpo//+5n9kXrSXGBZdu2tivpBxqdO1sxprTZdkBY0z106i6tHtY6YY7zjSEvWdUpdRgK2trl/IDIXH1osuPboKxh5rLz3Hd9NzPOA3L1MoUeqNyHV6ZAolglyO6PXi97rx2PrwWnsR/fFPhL738SU8fu+uuI8TCzInLxtUyFxI1rRVWFqr6G0+I8FVXV4kTcuRxN72HA3PHcBWP3xRtrOnQyfCSqXAhEIFv3o4hV9dUOIhJ29g0vb6y3aWr9bw9s5Mtmxw8q/HrJw4GixoGuoGHiBWq0hnu5+8AgXgImeCHLVGCLoGnxeqz3qZWD4QylJVMfC63w9Oh4jeICBXQHaOnJqqgRy61mZfWBOqngP1tG+pIHO1NHahhXcu5Mixl2PW36z5KvrMfmrODp2cXl/jpb7Gy6LlsQuVtDeZ6D3ZQtLUnJj1ORTZ6ydfVDFj6faQWTRyQdvUCVrsvdK5y0kVYtazrw53T6gd9clTHn70Yw8/+Vkfa1ZruP02LX/8fRJOZyKv/dfJ8y84OHAwusXBihMv0tNVydAlEQQqTrwwqr5TFxRKMpEWfX6q/3bl2OBHQsOz+5nyvWslGUtp0JC+bCLtWyskGW+csUXUOTMyhRJvGIUs5So1oj+2itnv9eAyd2JvqcXacBZL7WmsjZXYW+vx9JkkETIAE2ZJF04ULSlFs8NumzlV2oq+lwu5H5op2Vhem4uG5w+O2M7tDp0syGSBqM0vfKKb+aUtQf899siAO53DLvLlT3Vzz82dOJ0i/3oljU9/MTh0S3HhsohA//zk3IbRhRGiF/7scAwjToTzOvoAb5jzytondo0YQhQrUuYXxDTZOD1TzpmTHka6lTXVe0nPiu2ugVSJzOnLS5FrpM3POJ+aw73kTdYzcZ5xyDYF0xMpmJ5I7ZHY1RMaDm12EsZp0lgJt4zwd/Z6YeMmJ5/+rInbP9pDXZ2Pu+/S8fprqWzbks7NN43eoKCn6yzD13YT6Ww/Maq+824J/1kXDS1vHr8ibZjDoX3rWZxt0nxnALKuvvg5eONcHKIWMy5LD9rUnGFzWWQKJdq0XBw9bUO2GWvkz0kJ67/C+anIFTEzhYs76vNyZEYiIX30iZdXKsokLRkrSyUbr/GFQ3itQxeOHQ6XK1A9vnyyEpdLDPrPN4iR4KnjHn70DRPf+6qJzz4QLGYKigbUjN4gIyNTRmN9oJPmRi92m0j5lIEJq1wBxaUKqobZcTiHzwttLT6KJg6cn5omI0EfXv6cvclM2yZpHLoA8m6KnZhVawSsfSMvylj6/OgSYlsQsH3rWXyu+Fv1yrVK0pdPjPs4Q7H96UBY4Gf+NJ3Ft2YHhZKpNHLmfyiTzz06A0GAHc9KY7mbtW7ycBHUMcPT56R7V82wbRISBO78uI6Nb6Xx8gupNLf4uP0j3Vx3Qxfbtrv43f8m8fWv6WN6XeVTb43qfE1moiSGHKLXT92/98V9nEsV0een+fVjko2XMjcfhUSW/OOMLaIOM+utPkbm3LVkL7iWtn0bQopeCTI5OUs+jEJroP3g5miHk4z7npS2PohUyCKwupTJL95q6aVK9tVT4l5w8Bwei5PGFwdP+g+Xv/7Bwrd+nETVWQ+H97tJMspYtEzNG6/YcdgDK6ZXrdNgtYhUnfUgE2DmXBVNDcGT3Js+omPnNicNtQEDgPZWP3t3BUSWzwuPP2rhgW8n0dLko6sjkNDvdsHG18OrAP/Kczbu/oyeQ/tcdHX6+ep3Eolko7f2yT1krp0kSe2DrPVTqH5sBz5H9CFJPV1+CktGvk3n5SvoM8d2J9pnd9O5vTIwsY4zWeunDJq3IQXVB828/ac6rv1iIR//2SQ+9pNyLD0eEEGfokQmD6iKLU80cnqHNCvwmWulCTFrf/cMfu/gX6SpU5TcfZeOW2/R4nSKPP2MnU/eZ6K1daD94SMedu9x85tfJfG7/4udA15S8sih0MORc/00hCjMgsKl/b2zuLqlcf67VGnfWkHJZ5ZJMpYgl5G+pJhWiezlxxk7RC1mOo5swVgyg8w5azGWzMTaHKggrE3NIW/FbRjySlEnpWPvbKTr1O6oL1hK/u/qzfh9w4enyBUyvrphjURXFD1uRx9qfXhhMG77pVP0cqwgpdVs4wuH8Nqji1l//WU7Gq3AN36QRG6+nF6zyOF9Lv770oBNbXKKjG/80EBmlhyPR+T4EQ/f/GKwBfQzT9j4xg+TKJ+ipPqsl6/f3x0kNh57xIJaI/DoU2kk6AUO73fzubu7Bg1/G4zH/2Ild4KCJ15Mx24XeexhCxMKw//dne19tL59ktwbZ4R9zmhR6FRkrp5Ey5vRW0MfPeBi/Y065ixUc2jv4DtwU2eqmDpLxbZ3whOGkdC64aQkYiZ5zgTUaXrJLKEv5K1Hamk4aWHtfRMonJlEYlrApt7vE6k/1seWJxo59PbQhYNjSdKUbMlsZocLJdy8KY2Dhzx853u9/Pd1Z7/r4IWcOuVBowlfOBSXjZxDodKM3oFMkAlkXzt11OdHQuNL0S0mXQk42/roPdVK0pRsScZLX1E6LmauQKIWMz63k6rX/syEVR8hMX8y6qRAGJM2LRdtWiDmt7f2BA1bn0UcLHZljOK0ejC3hDc58LounWrrfS1nSS8Lz3e/r+VsnK/m8iKhMFUy5xbR6w+rjsqZkx5m5A8fGvPC0zZeeHrovLdXnrPzynND1+CAQBL6x2/sHPJ1vw/++Ks+/virweOnV81pDTm2ZOrAMbdb5EffMPGjbwyIqP88HtnEt+nVI5KIGQgkb8dCzDz/Lyvrb9Tx28fS+MNDZja9YcduC0wqNVqB1ddo+foPkxEEePGp2AsB05FGnG19aLLia28rCAJZ6yZT/8z+uI4zHCe2dnFiaxdKtQx9igpBBtZuD26ntO5IUsX9W6s7sVQOLdDWX9vF8eMj7y52dvn5+N3h71jl5i+hs3340CMhihi75NkTUKfGNuxtMHpPtGCpaI/7OJcD7ZvPSCZmkufkI1PKx13NrjBi4vvosfdR8+ZjaJIzMeSVodQbQRDwWM1Ymipx9oROVMY6v1sXfkjcwZcvHUvGtuNbSCmcNWKRSJ/bQdux8QJgkZC1dpJkY3XtrsFtHl5gjBOMrbabvtNtJE4enUV8JBin5aLNToq6cNzhfS7+9vs+PvvVRH746xS+/8sUTN0+RBFSUuWcixp96jELu7fFocaFCK0bT0lSePBii5lzeFx+TK0Xp16ITCEn46oyScYayeAhHCEDYLeL7NsXwS6p08SZ48M7lCUaR5/vkrlamvtwy1ujMya4EuneWwuskmQsuVqBcUYuPQcvnkPiONITUxN7p6kdpyn+KxXqlEx0Wflo0nJQJiajTEj8wJpZgd/rRfzAmtljMePsbsXR3oizq43hXVOCcVnD30V66+eXzk3NZenm7KZHKVr+MTRJg9sHO0xt1O54Bpc1dvHhDnM7ok86W9NIEeRKtMbo7JSlmoQAMVn1vxJpefO4JGIGITA5r/1X+EWCh+Kv/9fL6eNu7rnfwPQ5KlLTAwrG74OTR9z8+zEL77wRP2HbtukURfcsintCekJhKoayTCxnr9zV7tTFRSglSGAWvX7aNo/edv/lF1O55bbh7eCHovLUayO2sfSOzmhBppCTvqxkVOdGgt/ro3NHVdzHiSVzVz1IV8sx6ivekXxsR2svzvY+yQqYpswrGBczVxgxEzNKnQFlQhKCXDnsQ8/WWjuq/jWpWSRPW0TSxBkoDcaIz/faLfRVn8B0ch/2tktnJyUe2LoaOfHKb9BnFJCQNgGFxgCIeBxWbF0N2Dpj//5UvfsPXJbRPfykQJOYxrRbvjvq8xMKUtHmGGN3QcPg7LCMqQJtK2ZeOjuv7VsqKP3CSuQ6VdzHSl9RGhMxA7B9s4Ptmx2o1AIpqTJkMoGebh/O4eysY4SjtRfT0SaSZ0VXJywcstZNvqLFTNY6aULMuvbU4OkdfY7VvHmj//6Ye6pHbHP62DOj6jtZIjcr04GGUbtIxhOFUovo9+Hzjb3i4OajTZLllCbPniDJOOOMHaIWM5qULArX3Y0mJbx4yCN/+XpE/atTMslaej2JJdNGc3n9KHQGUqYvJmX6YmzN1bTvfAtby+iE1YVcSkUzBxCxdtRh7aiTZDSva+RaRBcTrzu6sJK0JcUxupKRadt0ClGUpm7K5YbP6aFjW6UkCcL64rSYhJqdj9sl0tYifSx464aTkoiZzDXlVD26HdE39vIQc8oSWHhTNq/8Oj4r8kqDhtRFhXHp+0Ja3w4NMVuwIDyBopCDMkbLoDKZgvziVaRnzUCh0LD7vYdINOaj1aXS3nI44v6kug+P1cKMJdNvoqvlGN1t0tSIigTTEenEjL4kHblaIYm1/Dhjg6hvSfmrP4YmJRtL01kc3S34PW4iCecaEkEgY8E6MhasQ5DH1k41IbeE4ju+RM/xPbRuexV/uNX3huBSKpp5MRD9PnxRioV44/NEKWYWSydmukaoCzHO8HTurJbM7ShtaUnU9tljgc5tZ/E9sCruO1oqo47UBYV07R57n/EJUwysvndC3MRMxupySazD3SY73fvqQo6/9nJq3Me+kOKya9En5tBQs4XSKTcD4HZZmTTtjlGJmdSF0Vk6h4MoimPy84kgYEwvpatFuroukdB7skWysQS5DMOkLMxHmyQbc5yLS/Q7M8YM+hrOUPPm32JxPQDIlGryr78HQ2E8LUEFUqYvRpuZT/1rj+GxBbss5c8Jz75YJhcuqaKZFwOva+wnqos+L6LPiyCP/Cuh0KlIlMipxWN2jBkHHYVczbL530QhD4R1HDj+GOa+wcPfZDIlS+Z8hZNnX8TUVyfhVYZiOtSA3+OTpB5Q2pLYiJncfAUfuiOBydNUGJJk7Nzq4O9/DNyzDIkyDIkyOtt9Q9rnRovP5ZVsRytr/eQxOVnU6GOaYhpCtkSr1m3vnB5y52v+og58I2z8KZWwd1dGTK4lPWsG+3f+Dq/H0S9mnA7TqKyZ9SXpaDIMIzeMEmtlR1ghZtqENPLL15GUWoxSnYDb2Udb/V4aK7f2t5m76kGaqrZhTJ9IatZU/H4fpo4Kqo+/gve8Bbbc4mXkFC1FrTXidJhoqtpGW/3e/tdnLvsCCYk5yBUqpiz4RP/xxrPvUndmY//PMrmS8jkfIzVrypBjpefOIr9sDZqEVFwOM231e2mufr+/hqBCqWXxtf+Pfe/8nILy9aTlTAMEmmt2UH/eWBfiaDZLdt+FgMX5uJi5coj67myuOY4+uwi5WovPFX2dA5lSTdHNn0WXE/8VFgBtRi7Ft3+JmhceCRI0l2vRzIuB1zm2Q8zO4fM4Ucgjt/Q0zsxDkElQrhvo3lc7ZkLMvD4X7+35GRq1kWXzvjFs23Pvjl8ceqakVGjxi/GP9/Y5PZiPNElSITxpWnbU4Q633qnnWz8xolAMfMYaagZ2k+cuUvPbx9L46bd7ePXZ+H3XWjeclETMpC0pQaFXj7mcBI0hfmJGl5csjTEF0Lpx8BCkPotIU1N4IYwuV6zuQSLiBdVvFUotHnfkn+OUefH/PkMgXCocfF4XbmcvFYf+g9vZR2JKEaWzbsPa24qpY8B8oWTGTTRXb+fI+4+g1iZRPudjTChbQ+3JNwHIKVpCfvl6qo+/isXciCE5n4nTb0IQZLTWBWr3ndj9d2RyBYuu+TFnDv6HnvZAnRX/Be9tTtFSmqq3DTlWckYZpTNvperYy1hMjWj16ZTOuh1BkNNYuSWor8nz7qKj6RBNVe+hVOsRh7m3A4h+EXujSbLyBfqJ6ZKMM87YIOq7c+N7z5Gz6AYmf+w79DVW4LGY8Q/jWtV+cBgnDUFgwrV3jShk3H09ODuacXa34u7txud24ne78Hs9yBRKZCoNcpUalTEdTWoW2oxclIahQ8FUxjQKPnQf1S88jOgdmHRcjkUzLwZjPV/mHD63E4VmFGJGglyCc3TvrZNsrHA5t2I3HD6/hx0H/nfYNuXFN9DefYLO7vhXgu/aXSOJmJEp5CTNyB21YcP8JRq++1AybpfIK/+xUlXh4bsPBd/Ldm51YrX4WX2NLq5ixny8GXuTOe4FHWXKgD1xOHWUIuWLf5+J0+bjH18ZcKD82tNzwjo3JSd+ieVZ6+NfmBSgr6IdW+3gRizzFoS/4/v0f2Kz297VcZryabdTVx2YF2h1qRSVXUNnW+ShUlLkdEGg9lI4uF0Wak+91f+zw9ZNbvEy9MbcIDFjNTdRf2YTAHZLO51Nh0lMLux/fULZWpqq3qOjKbDD67B2otWlkF++tl/M+Hzu/vuw3+fB5x18Qchibhx2rPyydbTU7qKj6fAH19xFW90esgsXhYgZc1cVLbUf5Apbwysoa6vvlk7MFI+LmSuJqMVMUuFUUqcsRqZUkVI2b8T2w4mZ9DlXkVg8+Mqfz+Wk59hOzGeP4OyM3LZRm5FHUtksUmcsQTZIjRVt5gSyllxP6/aAbeTlWjTzYnAp7cyMhuRZ0jiniH6R7v11kowlNQICKcYS2rulsTmXsu5Bypz8UYuZT3zOgM8nct9tHZw+HpigXChmPB6R6rMeisviGwYFAfOJ4k8tifs42eunxEXMFMwIDV8qnpMU83EiQoCstdKImeFqy1gs4e+2fP+Hgxe/jZSaijeZOOlG5i35KoIgY/6yB2lrPkBddfh13gAEmUDS9NyYXNNwiH6R3mPhzT/kChW5JStIzZyCWpeMgIBcqUHeHrxYYzEH7/R4PQ4UysAcRalKQKXWYzU3XnBOI/nqdag0ibid4f8thhsLICExi8SUAiaUht4bBZk8aBetzxS59bGtTjpHU92E5PHimVcQUT/9cpfehKBQ0HlsO9aWanxux6jy/5WJyWQuvnbQ13pO7KF951t4HaOvcO3oaMLR0UTXwffIWnY9yVMXhrRJnb2cnhN7cPW0X7ZFMy8Gl9LOTKTI1Qr0JdKsANlqu8IIvREozl9FXtZC5DIlnT2n6TZXUZS3kl2Hfg/A4tkP0N59gpqGgZW24vzVZKZOY/fhPwKg06ZSPGE1yUlFKBU6XG4Lze0HqGvaFvF1r1z4fZQKDSBw5PS/6eoJdgKaN/0zGBKykctVzJx0Z//x2qb3qK7fjEGfw8KZX2DvkUew2Nr6XzckZLFw1pfYd/TP9FkjSy51tPbi6rKiTot/pfBoxO602SqOHXT3C5mh6GzzMXl6/O2mWzeepOjexQhCfMMqk6bloM0x4mgxx7TfP94zeFL5zuda2PHs8JPUZR/LZekdOTG9HgDj9Fw0WfGvv+H3+GjfMrZcuHw+NxUnX+LsqVdRqQ24XZYRw5UGQ1+agUICu3VHkwmvPbww2LLZH0VnyKDyyItYe5vx+zzMXvmVkHZ+79D3dJlc+cG/Lvy+BX4eLgpmMIYbC0FALldRf2Yj7Y0HQl6+MBww0rEBXJ2jn8NFiiAT0E1IxlrTJdmY41w8ohYzgkKJpeEMzTtfjaqfjAXrEBShl9P6/ut0Hdw6yBmjw+uw0vTOczh72sle/qGg1wRBRsaCdTRueOqyLZp5MbhUxIzXE3nOl6EsU7J8mb4zI4eB5GTMpjB3BWdqXqe3r4EU40QmFd+Ay22JaCyvz4XL3cfxiudxuy0YEwuYPPEmLLZWuk1nI+pr296HkMtVrFr0o0FfP3zqSWSCgpULv8fxiufpMgVCMM49PC3WFnotjeRmLeBM9X/7z8vOmIPN3hGxkDlH35k20pdNHNW5kaAvSUemUuB3R543o9YImHpG3vlN0MuI0pQxLFydVkwHGyTJT8haN5naJ3fHtM+mM4NPptpqbEO+do6OuvgYmUhlV9u5owqvJTaukps3pbF2fewmiaLow+U0j/r8pKmxF5mDEcnEOCWjnNpTb9HXUwcEbKg1usgc41yOXjwuK4bkCZg6B+67BuMEXA5z0DNLRAREBNkoDYlEEWtfCzpDJi5H7Ozkz8fdI+1cQJuTNC5mrhCituFq3vkq2tQcNMmjr54uU6kxTgqNW+46vD2mQiao74Pv0XUodJU5qXQGcrU2LmNeqVwyYWaj2JlJnCRN0i4EJt8jkZe9kPau47S0H8Tm6KSxdfeo3MPcbiuVdRsx99Vhd3bT0nEIq72dxITRTRqGy6vx+dz4/IHVTr/oCfzscweZBTS17iU7fSZyeWD1VRBkZKXPpKUjcvvWc/SdHvn9jAWCQoZhlMmoLY1eyiYrGW5+otYIlE9VUn1WAjXD8KFKsUSqPBIAq2nk985piX3NCplKQcbK0pj3OxhtG0/FrK+yMuXIjcJgQtHKkGOCTE5W3vyI+kksH/38IxIimRg77T0kZ5Sh0iSi1adTNucjyGSROnmJNFRuIW/iSjLy5qDVp5ORN4fckuXUVwSH7It+Hw5bNxl5c9Hq09EmpEXsCtdQ8Q5pOTPIL1uLzpBJQmIW6bmzyMgLL69sJNwmaZ1NpSpkPc7FJ+qdGblKi9PUxqSPfgu3xYTH3ofo9TCU4VL1638JOZZYNBWZIniL2GPro33329Fe3rC0736bpNKZKA3G/mOCXIGheCrm06HbrEPx+RdX8pfbIg+/uVK4VHZm/KPImTFI9BAF6KsYefKt06bS1nk06JjN3oFOE9mKoFyuoiBnKWkpk9CojQiCDIVcTZf84oSptHcdp7ToWrLSZtDcfoC05DKUCi1tnUdG3WefhBbXiVOy6T3VGvF5777l4L4vJ/L5B5P4y+96uSDSA4VC4Os/MJKSJucfj0S2+zZaOndU47W6UOjVcR1Hm52EcXou5uOR50hGwneX7MBhHTm0qa/bg7k9tg5r6UtLUCTE930EcHVZ6TkwfDj0ooUqPB6Rg4cCwm7d2sGvS64QYlY0M69wOY21wc9O0e+jaOJ62pr2h93PWBQzZw8/z8SZtzB/7XfwuKw0VW/H7Yz8O9pSswPR76OgfN0H1sxm6k6/TXtD6Ptz9vDzTJx+E3Ou+hpet4260xtobzwY9ljdbac4te9J8svWMKFsdUAgWTuD7KSjwSX1zkz2Rc6HG0cyor4l5S2/pf/fKkMKKkN49VnOJ2FCaKiH6eQ+/O74WnP6PW5MJ/eSsejq4OvJLY5IzKSXxD/u/lLmct6Z0ZdI48zid3mHdCEKJXgl4UJ7zsGQy4IXE6aW3kaCLp3TVa/SZ23B7/ewcNYXw73cmOMXfTS3HyA3awHN7QfIzphNj7kq4vC587GcaQu8VRJECY52svXkoxbWXq/jU19KZO31Og7uCdwTSycr+e5DySxYqiG/SMGpY25eflqaeHS/20v71gpyb5wR97Gy1k+Ou5gJZ1cG4MTWLk5sjW3IilS7T22bTiH6h09mffgPRiBQawbgX09E/iyPBQql9rxckZGR61ToJkhzrbba8P/+FnMjh7f9Ydg2B7f+NuRYfcU7IbsurXW7+53LhqOvp45D234f1Vg97afpaR/aUdLrcfD+f7814rUMhsdkl+yeC6BOH5+bXSlELWaO/nX4+hLhoEkLLTjYVy1NHkpv9fEQMaNJy6Zgbio+j5+mYyYAylYOPhkZL5o5MpfKzow3QjEjyGXocoe2/I4llurOIQvdnY/d0YM+Ifj7lKALLnDn9TlRyINDKfUJweFyacmlH4SZBVZzZTIFWk38ftdA7RwRYZjI16bWvRTmLseYWEBacjknK1+Kakyv3Y29yYRuQvz/hglFoxO9Nqufz36kgx/9OoWlqwLCBaB8qoryqQEB+t4mB//vmz243dLVH2p9+6QkYiZjZRlnH35vVPlGYx2VUSdZbZTWDSOHmC2/qpPzfR1EESaWt4UU0VQqofJMdOG15dNuR61JQqnQMmPep4Ne0yWk09N5ZogzQ9EXpUkyORb9Is722Li4XamIfhG/24tMHX/nRQBVSoIk44xz8Yn6EyX6o7clViWGhsA4u+K7GncOV3cbFy4VqBJT+NDPZwOBWjMAdz6yQJLruZSp2vL4oMcdveF50F9sfBEaAOjyjAgSCVl7oymsds1t+ygvvgFzbx1mSwPJiYWkGItxuwdW7c19DeRkzKHLVIHL1Ut66mSMhnycLnN/G4fTRKqxlI7uk8jlakry1yAIg8d7n4sDF4Sh34tz5w7VRhR92B09ZGfMxmpvB0R8PnfQzovL3UdnzxnKiq7H7/fS2RN9PRp7Y48kYkaXn4wgl4UlSC+kq8PHA5/spLhUyYKlajJzFMhk0N7qY+8OJ9UV0uTKnE/fmTZs9d0kFEQWvhgpCr2atCXFdLwXmenEpUDmmkkI8vjfP3pPtmBvGvn+4XQGi+G+Pj92e6hAdrlC20ZK1Zn/YkwpwZCUS3fHgNASEXG7+ujuCP+7nVAoza6Mq8s64u7WOCMzLmbGiQcx+0Qp9UbSpy3DkFeGUm8EwGM1Y2mupOvETtyWniHPlV9Q98XnciBeuBwUJ0S/H6/DjkI78KGXq7Q88qGtQas9ogg/X/gW/gtuZnKFjO/tGdxS+krD3HBpu7pFGmamy5cuDMPRbA6rXUv7QTSaZEoLr0EmV9LZfYrGlt1kpk3vb1PbuBWVSs/08juQCQo6e05zpuZ1CnOX97c5WfkSk0s+zNK5D+L22Khv3oHLHRzGVF58A7mZ85DJAreRudPuQxR9mPsaOHjiHwCUFKylIGcpMlkgbGTmpDsRRR9Weyd7jzwS1N+pqpcpL76BRbO+hMdrp6r+HVovSPBvat3DnGmforltP35/9Kv1jpb4uPZciEwhR5dnxFY/9H1wJGoqPdRUSi9chqJ1wykm3r985IZRkr1+SlzFTHZpApYud9jhZrFCqhCz0Ro2TJo6dE7ZX/8W3W67z+uiu+MU1r5Wmht2RdWXVPdhV4c0OWmXO1LWfVEl6yQba5yLS0zETGLhVArX3oVMGZwwqNDq0abnkTZtKQ1bnsVcfWTwDi6w6vF74psrcyHiBX7pglyOxxX8hXNaPLgdoV9Cr8sf0nacS5NIi2bq8qQJMQPCrrchIlJd/w7V9QNx0EV5VwW18fpcnDz7Ysi55wuHPmsze4/+edixKmreoKLmjWHbVNdvpro+vJpN5r569h7507BtvL6A61k0LmbnYw9TJMYCXX5KVGJmrNH2zmlKPr007rsLKfMLUBl1uM3xcUL6yP+UUTQriR+t3k1vhzTPnoSCVAylGSM3jBKfy0vH1tgLwV/+OjYT+1NHn466j3jvDp7DOS5mYoLfLd18SaaUj9oWf5xLi6jFjCYlm6L1n0D0+2g7sIm+htN4rCZAQKk3klgwmYwZKylYeyeuvi4cnU0hffg9buTqgd0ZhVbapC2F1hB8Pd7Qoli/XLphyPN3P1kT82saJ7YY169DP3cOTb/41ZBtIt2ZkaLQ3Tmi2kGQKNlSCrLSZ2Czd9Bribz69GCEu+MVC0Zy1nnoj6mYTX5+8z8DIUHTZ6voaPfR3jL2FkzcPTZ69teTuqgoruMIchmZaybR+NKhuPSfXaqn6bRVMiED0u3KdG6vDLvI42BMnapkwgQ5GnXoTeTV1yKvy3UhHnf0+ZS6PGPUfYSDq3NczMQCKXdmABQ6Fe5xMXPZE7WYyZq7DmQyql77E/b2YOtHj60Xe3s9fXWnKL3lATJnr6Fu05MhfXjtfUFiRpArUGgT8Drinziu0OkR5MG5AF5bZDetdx8OP1lxnJGR6bSIXh+ie/QP4dFg727k6HM/Dru9Nks628dYV0K/lJDLVaiUegwJWeRlzedU1Ssx61uqMDMYWczMX6Km8nTwLvETr2byxF/6ePiX0l1nJLRsOBl3MQOByX+8xIxSJaOzIfqJebgIgkDW2rEdYgbw6J+N3HC9lpYW36DmErEQM0MxZeadYe3aCIKAJkOaRaX8j8wj/yPzJBlrnNghT1BBnHZ1xxk7RC1m9Lkl2FprQ4TM+dg7GrC11KDPKRn0dbe5C3Vy8Ja7vqAc85n4PLzOx1AwKeSYy3RpJKxfrqTecgu2o0exH5c2B0f0+/E4wheyUu3MeG0uPH2xqdx9KWJIyGb2lE/g83uoa9pOW+exmPXtbOtF9PolMXLQjCBmkpJlmE3RG6pISfeuGjx9TpSJmpEbR4GhNIOEotQI7MnDp6POjj4lNkUgwyF5zgRJLGOd7X2YjjSO+vy1azTcfGs3+w9Iu6gEoE8MdTgdDFVagmQmLONcmsi10n23x7l4RF80U63DYxt51dBj7yMhe/AVPHtrPYaiKUHHkkpnSSJmkspmD3I9dSHH1nx5Eu89ehafJ3iyYUjXULIknSOvjf6hMc55CALaslJsR4+O3DYShqriGgVSedi7u6PboaxtfI/axvdicSkXBXNfPVv3/CQufYt+EXevHXVq/P+W2hHEr9sFyamX1sTM7/XRvvk0ebeE3kdjTfb6KVT99f2Y9/v+M83c9v1SUnI19DTHf9Ega51UuzKnLiw5FRGP/NnKbbdqsTtEurv9+H3BnXV0jk54F05cR11VIKevbMrNg7ZRq8Pb9ZZyd3ycSxOZBI6B41x8ohYzHnsf6qSRayiok9Lw2Af3aLc2nCVzSbAjWGLJNBLySrA1VUd7iUOiLyjHUBT6YOmrCfXkX/HZUt7/R1WImFHp5Kx5YNKYFDP6ObNJWrcWZVoaXpMZy5499L63Dfx+kMnI/uLnET0e2v76WGCyLwhk3f9ZBIWC1j//Bfx+8r77bczvbkE3aRK6qVPwu91Ydu7CtHFTkEAYdqwPUGZkkHzdtWhLJyKo1fj6+ujb/n6gHZD95S+hys1BplaT+al7+88zv7MZ01tvhz+WIJB89XoMS5cgU6mwnzqNpyu2xe7kagVyjTQrPu5e6UJgrkQ8vU5JxMxINqG1lR7mL9Zw9Yd07HnfieMDW1y5XEA1SM7CYLhd0lvHtm48JYmYyVw7ieq/7figJlHs2Pl8C5klOr742Eye/XEFlfvMMe3/fOQaJenLS+PWfz9ioFBmNFgtIrd9Ucs9dw/uCJWd1zqqfkVx4JmQkTObtqbQSvZimCpMnWEYudE4VzSCYvCSAuNcXkQtZiyNFaROXoSxZCbm6sFX040TZ6HLyKfrxM5BX7e31ePu7UaVFOxKkrf2I1S/8AheW+wLVSkTk8lbc0fIcUdHE86uloj60iWpRm4kMdpJ5aTecTvdz7+Iq7EBZUYGaR+5A0Emw7z5XfD76fz3U+R+40GSViynd9t2klauQJWXS/NvfhskQlJvvome/76OacNGNIWFpN5+K56eHqz79oc3FiBPSiT7gS/hbm6h/fEn8PX2oszKxm8bsPtt++vfEJRKCn72Ezr+9RSOU4GHsej1hv97Afr580has5ruF1/CWVuHdlI5KTdcj9cUXq2WcJDSv97Te+WGmEmBp08asajQq5Ep5UMmwD7/Lyv/73cp/Pzh4Pvg3Z81cPdnw5u0zS2QflHFUtmBtboTfUl6XMdRp+pJnptPz4GhQ5pHw7rPFCATBDQGBQ88ORun1Ut3sxO/d/AJ9a9vOzDqsdKXT5Qk7MV0tAlHa3R5Vt/9joH/+72Vl191RF1X5nzqq9/t/7fLaabqzOshbVLSysPqa9x6d5yRGA9DvDKIWsy0H9yMsWQWhevvwVx9jL6GMwE3M0FAmWAkqWAyScXT8TqstB96Z8h+ug5tI2fVLUHHVMY0Su74MnWv/g2XqTPaS+1Hk5ZD4U2f7q+Hcz6d+wZsZFVaOcWLBx7Q5Sszg2yYZQqBWTfk0VUbXH9jLGBcv56+93dgPRQI1fN0dmHZtRvD0iX9k36vuZfOZ54l45OfwGezkXz9dbT/83F8vcEPQcfZSiy79wT66ehAU1JM4rKl/WImnLESFy8GUaTjn4/jd7n6252P6Hb3iyjR6+lvF+nvlbh0KbbDh7Hs3dd/zdrycpRpsbPwVBq1MetrJDzjOzNxRcr3V5WsG9Li9Y2XbHi9IrfdpSevQIFaLZBolOFyijgdY7tYX+uGk5R+8aq4j5O1fkrMxcyHvl4c9LNGryC3PD47dWO9tsz5vPmWk/YOHy1xdNI7c/z5QY+bTeE5hI6LmXFGQorCtONcfKIWM25LDzVv/JXC9Z/AWDITY8nMkDYucye1m57AM8wOS8+JPaTNXoHKGByypkpKpfSub9F1ZDud+7fgc44+f0CRYCBjwTpSpi9BkIV+wG1NVfRWHe//Wa6UMXV9DsWLAtd026/nBLUXRehpsPHqD4+M+prihSonG01RIca1a0JeE+Ty/qKk9pOnsOzaTfqdH6f3vfdwnA51ZvO0tQX97GppQTdjoAhjOGOp8nJxNTYOKlBi/XspM9L7xc75v0MsxYzKKN1DVKqdgysVKcWMchgxA7DhNTsbXgs478jksLdyAs88bhmzbmbnaNt8hon3r4j7Kui5nQ2fI3YFLn92/d6Y9TUc6lQ9yXPy4z6Oz+Ghc3tl1P0kJAj876+T+NlPkzCb/FxQL5rFS6M3yrH0hpZqADh78uWwzpfyPjzOpYlwGZUmGGdoYlI009Zez+lnfoFx4iz0ORNRJgSS8jxWE5bGs5hrjiH6h1/dEX1emjY/R9Gtn0cQgh+IglxO+txVpM1egbWhkr6aEzg7mnF2tw1bYFOu1qJOzUKbkUdSyXR0ecUhfZ/D53LQtOlZzs+YdPR5eOk7hxBkAt/bfQ3/d/W7uB0DIU+iD3zeMeg+JAjIVCpMb2/Aum9fyMvnhMy5tor0tIAISBs8TORC62oBBvJlwh5LIORpGCmR/F4XxNWfH6oWCxQJ0oUWju/MxBcpw/iU+vBdv/w+6Ooce/VlBsPT66BrTw3pyybGdRy5WkHGilJaN0aXD3I+7TXS2LZmrp2EIMHMquO9s/ic0Yu9V1518MqrY/veI+UO+TjjjDN2iYmYAfB7PfSc2U/PmdBkvnCxNVXT9v7rZK/48KCvCzI5hsJJGArP2SmLeO1W/G4Xfo8Lv9eDTKFCplIjU2lQaMPLaxB9PhreeAJ33+DVuUW/SNuZPrwuH17XGBQvFyKKuFtaUGVl4jUPv6KbdNVK1Pn5tPz+j2R97rMkrlhO3/ZgxyBlZmbQz6rc3IEQsTDHcre1YVgwH0GpRPQM86AVRRDFQXfOwh3L09mFKjcn+HfIyhp6zFEg10ooZizjOTPxRMqdL7kusnyJzrZLQ8wAtL59Mu5iBgKhZrEUM1IhnYtZ9CFmAG+8Gf/7jlqTSEHxGnT6TARZ8KLZ4T1/GvF8hV4dr0sbZ5xhycqS8aMfS1c4O1LG0vVlZcU/1C9mYiZWdB3ahkypJnPxNWG0FlDoDKAbvaOJ3+uh4c0nsDYOvy3/j08Mbl4wVjFt2EjmvZ/EuL4d+7HjIAiosrNAJsN64CAA6vx8kq+/jo7Hn8Dd1ETXs8+T8Ym7cdXW4moc2P7XlpWSuGwpjrOVaAoLSZg9i+4XXopoLMvOXSQuXULGJz9B7+bN+CxWFKkpCCo19uMDoX2iz4enqxv9vHm4W1oBEb/Lja+vL/yxdu0i9dZbcFbX4KqrR1NSjLastL+PWCCld73fHdmEVpDLKHv+f+j4+1v4bE4y7r0G0eOl459vY91fQdYXPoR+0RTczV20PfwKrsaBcBF5UgJJq2ajn1eGakIGMq0av8OFq7YN84a9WPacDhorYfZE8n5wN22PvIr9VB3pd65FN70IWYIGb7cF695TdD27Fb/Tfd71ySn+29dRJCVQ/bn/w9s1iDCVySh57MHh28SISN/faFAkRDb5+t3PzFj6LoEFFKB7Xx1ukz3ueQzGWXloMgzDhuuNNfQT09EXj+z6GS2OZjPm480x62/1KjXTpyvRakJ3lH756+jf//JpdyCKPtpbDiGKkX8PFRIuKo0zzvkkp8i4976xG+Y41q8v1ow5MQPQsXcTHouJ3NW3Iyjid4mePhP1bzyOo2PwuN1LGfuJk7T/458Y16/DuG5tQCR0dND77hYAZBoNGffcjWX3HuwnT31wzgms+/aRfs/dtPzv7/rzW3q3bUdTUkzKjTfg93jo3bIVy/79YY8F4DWZaP3jIyRffx2Zn/0MglKJz9xL79atIdfe9cyzpN56M7nf+gZ+m42eN9/G+sF44Yxl2bsPRWoqKR+6EZlSie3ECbpffhXj2tUxe3/lOukeokO5X41Ewrwy1HnpOM42oZ8zkawHbqZ300G0kwtwnG4gYfZEsr9+O3VfG1gBTb52Aam3X4Xf5sTV0I7XZEGZlYpuehG66UW0PvwKfe8dCR1rbhnp96xH9Puxn6xHplainVJA8o1LUBdm0/jjJ/rbij4fvZsPknrbSoxr5tD1XOhnIGFGMQqjHtuRqrgKGRj9+zsaIv3cHNkfXY6ZlIg+P23vnCb/jrlxHUcQBDLXTqb+P6GhptGgT1Yy+5oM8qcZMKSqEEWwdrupP2HhyMYOrKbRh25lr58ycqMYEMsdqwe+pOdb3zRw5oyHSZOUnD7tIb9AgVIBT/0nNqF5iUkT2PXez/D7RvfeRrrTOc4441yeRK0UDHllGPIn0Xn0vaAEf3ViKnkr70CfXYTH1kfrvrcwVYZfBNN0aj/21npyV99GwoTYhi6Iop+eY7to2/kmfnd4k4W0Ij2WDicuWyD3Qp+qZuaNeXTX2ziztW2Esy8O9lOnsZ86PehrfqeTxp89FHK867wdl3OIHg8dT/571GOdw93aSvvf/zFsGwBnbS3N//u70Y8lipjefAvTm28FHbbuH30I5IXI1dKtA4ijFTMzS6j96p9wN3WS8alrSb5+EYbl06l94GH8NicT/ucT6D4QDV5zwJHP9NY+XHVtWA+cRfQOjJvy4aWk37OelA8vHVTMGBZPwbrvDC2/ewHRE/iOKDOMFP728+imF6Ety8NxdmDRwPzOQVJvWU7S6tl0vRBcjwggcWXASKT33cOj+t0j4fzfM95I+bm5GLRuOBl3MQOQvT62YmbJbdnc+r1SVNrQmhSLbs3m5m+V8NLPK9n1YuS1VQSZQObq8KyGo0EUxahry5zPnR/X8eA3zTz3vIPTJzJZd00XKpXAw38w0lAfm++Mx2NDLldHIWbGd2bGGWcciDqQLbl0Dhkzr0KhHQj1EmRyiq7/DIa8UkS/H1ViCgVr70SfUxJR3y5TBzUv/Znalx/FWl8RdRV3v8dFz4k9nH3yl7RsfTlsIQNw/femsfDOIgAUahn3/Wspi+4q5rZfz2HRXcUjnH2JM24HEoKU3vX+UU62PZ29uJsClub2k3WB/x+txm8LxMI76wIiXJE6EFfr67Nh2XM6ZIJvemM3os+PKnfwUBnR56ft0f/2CxkAT4eZvp0nANCU5Aa193b1Yj1YiSItiYTZwYsVMo0K/cLJ+Cx2rPtD3fVijd8jXRjX5V7zwFbXTV9Fe9zH0eWnkFieOXLDMJixJo2P/XQSCpWMwxs6eP4nZ/n7l0/w9wdO8MLPKjn6TicKlYyP/XQSM9ZEHiqWMq9AkrpUpoMNMQ29y8qSsW9fQGT4fKDRCLjdIr/+Xwuf/1xsfp/ayo1MnXUnqemTSTBkk6DP7P8vHKQqXDzOOOOMbaJeJtRlFeK2mnB0DcTpppTPR2PMwFx9lPrN/0aXPoHSmx8gfcYKrC3VEY9hbTiLteEsSn0ShqIp6PPL0GbkoUpK4QNvrUER/T5cPe3Y2xqw1ldgqTuN3+Mesv1wZJUnseWRCgBm3pCHQiPn4Ru2ULo8k9VfKmfPU+H54o9zeSCld704ysm21zQwsTknYDznhWyJrsB3QVCOfBsQfX58vTYUKQYEuQzRF3xNrtpWfL2htunezsB4Ml1oroh54z7088sxrpuH7eDZ/uP6RVOQqZWYNh8MEkfxQsows0g/NyXlSro7fZh74iO4Fnx+Jg27Wmg7Grs6Xq0bTsZMaAxH1tVTYiKc1n46H79P5E+fPsrZPaGFdbc/3UT54mS+8NhM1n22gGPvdg3SyzDXKVWIWYwS/8/R3e0nI1NGbR00NfuYMUPJvn1ubFaRtLTY3P8mTb8DEJg6++6Q17Zv+t6I58vGq7uPM844xEDMKHWJ2Nvrgo6lTVuK6PfTvOs1RL8fW3s9tvZ6dJmFUY3lsfbSc3w3Pcd3AyBTKFHqjch1emQKZaDOiNeL3+vGY+vDa+1F9MdmEqBKUGDtDuzkzL45nwPP1+N2+Gg5ZcaYc+UkWY0TQEoxM9qdGdF9nhD4YFcz+NgH/79gPSBh9kQMS6aiLshCkaxHplEhqJQIw0wcvD2DrwiL/gEL7wuxHanG025CP7cURUoi3p5AmGrSuRCzLfEPMQNpw8xkEe7MfPdnycycq+a6xS10tsf+Omd8vJymvZGHTg1H+5YKSr+wEpkyvhPNzFXlVP55G2KU9vi5k/RU7jcPKmTOUbHbxNm9JkrmGCPqW65Tkb40soiE0eC1uujcEflC4XDs3uNm3Ro1e/e62fSOk9/+OoknnrSzcqWaiorYLDJs3/T9qM4fL4g4zjjjQAzEjCDI8DoHkgG1qTlo03LprTuJx2ruP+62mtBlxLZgmN/rwWXuBHPsVhWHwtxiJ2OiAW2SitxpRl74xgeOYHrF2Kw1EyOafvGri30JY5JBraPjxGhzZs6vmRQWgkDO12/HsGQqPqsD2+FKrPvP4LM6EB1uMu67Fplu8Dopo1o0EEXMmw6Qfvc6ktbMpvuFbShSDOimF+GsbsFVJ00u2ljfmTlz0h0XIQMBjWvvia0Fr9fipHNHFZmr4psnokzSkrqwiK6d0U3ifR4Rp2XkybnL7sMb4S5pxspSZBLkSbVvrcDvju0u5m9/Z8VqDfy+f/2bjalTlPzg+wbqG3x89WvmmI41KgSGC8wYZ5xxriCivst6bL2oElP6f06dugSAntN7gtrJlWoinlyNIfY9U8cdv50HIhx4oZ7etkBtipzJRkxN0hRdG2cMEWX+VkRItPpoWDwFw5KpeNp6qP/u3/H1BYeNZXz6upiP2bvlEGkfXUXS6tl0v7gdw9LpIAiS7cqAxMI0wsKxarVAY138Qu1q3m0gb2E25rrY2ZZDIOQp3mIGAi5h0YqZyn1mcsv1CDJhyL+PTC4wYYqBqv3miPrOWidRiNnbsQ0xA6ipHfjc2Wwi931m6J2rWDNl5p2cOvr0sG1k8vEQs3HGGSdA1GLG0nSWtKlLAqFlPi+pkxfi6u2ktz7YVUWlT8brCI2pv1TY+59a2s/2odIpqNwxUJfDafWw5ZH4JymPM7a4MGcknkQamjRa1IWBwqKWvadDhIwqKwWZNvYF6nx9diy7T5G4YgbaSRNIXDYN0eOl7/1jMR9rKASlhGImws9Nfa2X5NT4Xd/+R4+x/lfLSUjT0H68C68reAeoae/odsdMBxpwdVlRp+ljcZlDkrq4CKVBE1Vh2dd+W82Dz87lww8W8/r/1eDzBgsalUbOLd+dSIJRyev/F35upCbDQPLMvFFfV7jY6nvoOxP9LqZOJ2C3j40FR31i9sW+hHHGGecSImox03n0PVLK55G3/NbAAVGkecerQSvXSl0impQs+horoh3uolJ3oDvk2Kl3YhtvPs6lgaRiJs65B+c4l6yvzksPHl+nIfNzN8ZtXPPG/SSumEHSqtloSnLo23mi37BACqR6fyHyz80L/7Lyzf9nJCdPQUtT7Hdo7n7rZgAypw/u0vWXucOvjg/FOZvggo8vGPW1hYNMISdjVTnN/z066j4Kphs4u8fEmk/ls+T2HJpOWbCaPMjkAvoUFROm6FFp5VTtN7PmvnyU6lBx+fjXQ3dGstZNliQMKlaJ/1s2p/Plr5jZvz9gDPKnh4187cFe3O7YCpzCieuoq3oHgLIpNw/aRq1OGrEfKe/B44wzztgmajHj6uvm7Eu/J3XKYhAEzJWHsLXXB7XRZRXi6GnFVBG7Oh/jjHMx8Uv4IB0u8T6WWPaeJu1jq0mYW0b+Tz+Fs7YVRVICuhkluFu7cZyuRzu5IObjOs404KpvD9SWEQR6N4dfjyoWSCtmIpsYvvwfK0UTFTzy73Qe+m4PB/fEtojmP696Iab9nU/rhviLGQjUnIlGzNzzq4FQMK1BQenC5EHbTZxvZOL8wfsYUszEGdEv0vbO8PW9wiUnW0Z318B97ZabtXzrO724R2cAOiSiODBGRs5s2ppC5wViGCHpoigGItfH82bGGeeKJyaZiU5TO807Xx3y9d6aY/TWSBc2Ms7FoWDxbUO+1nrsHdy2+FZyjwZNUgbqxMFXp52mNlzWnqBjo0/KjxypJtu+PhsNP3qc9DvXoinLQ1Oai7fHQu+WQ3Q/v42Um5bGRcxAYHcm87M34OkwYz9RG5cxhkIqsQiRmw188guJyGSgNwj87bkMbFY/LY0+vN7BJ3t33RCZVbHLEuOZ6nnYm0z0nmwhaWpO3MYASJySjS7PiL3JPKrz//r52D+bEssz0eWnjNwwSnr21eHuiU34dmenn+nTlUG5MvGgvvrd/n+7nGaqzrwe0iYlLbx8K9Hnv+xrN40jLVveje2C0TjSMGbKURsKJ/X/22Prw9nZchGvZpzRkF6+eMjXOit2j2kxk5Q3hQnzBw+l6jj9Pg17Xw065rWPrmL1aIhUzIg+PxW3/k/QMfvJupBjXc9tpeu5rUHH3E2dNP/qmUH7Hay97XBVSL/n0/PK+/S88n7Y19679bC05gqATMKcGZ89MvHw5W8Hh9sk6GWUTo7P9coUMvwxdmZs3XAy7mIGArVcav65a1TnnngvNHw4WrKulibxvyWGtWX+9W87f/mTkW99Q4/VGvgOvvpSKkMZFV59XWT1dgbjzPHnBz1uNoWXm+T3+ZFLIGb8Li+NL0tnSjJO7HC0RWZuct8npTO6GCd2jBkxU3jTZ/v/bWuqpubFP12U61BoEzAUTiYhvwylPgmFNgHR78frsOLqbsfWVIWl/gyiT7qV+XHij9s29A0sIT10N8Jnl2715rJfeRQEjNcsQPT66H1X2hAzkHZnxueITMzcujq+9tSCTGD2J6cy9bZS9Jk6/n3dK1jb7ZRdX4TX6aPm3Yao+m/fepbSL61CHmd74qy1k6l5fNeYMMwUFDJJnNw8fU66d8WuWPMfHrayd5+bOXOUpKbImTFDyc5dbjxD7AKOGkHoX7Cw9DYN2uTsyZfD6srv8MT9swWBkLbqx3bEfZx4kqMpo1A3g109L17sS7ms0RjV3PnOR/t/3vHQLiperbyIV3RlMGbEzPmojKmSjykoFGTMW0PavFXIFKpB2xgKJpE2ZyVeh5XOA1vpPrJ9XNRcJritQ4sZXUouglyB6BsIv5ByZ0auG/zzeLmQfMMi1PkZ9G4+iLc7thbB4aCQ8P2N9HNTVx3fz9nMuyYz42PlnHypknmfmd5/XPSJzPnklKjFjM/upnN7ZdzzRzRZiRhn5GE+OvjkWEpSFxShTNLGfZz2zadHXVB3KPbsdbNnb0Bw332Xjt/81oLNFlsxM2/xAxzZ/xhej52Jk24cNMwsXLx2F0pj/N9ruUaJIAiBPJ1xxhlnzBEzMaNKTCV10gK06XnI1Vos9WdoO7gJALlai1ylxWPrRfSPfPNV6pMQFApEb3xjd88hU2ko/PB9JOSGV6lZodWTvfxGjGUzqX/9cTzWsRs+NU54uO3mIV8TZHK0SZnYe5r7j0m5M6OSYGIkNdlfDbgfKjNT0Jbl4ek00/nU5otyLVJMPM8RaZhZvJly80S2/mQP9e83B4mZniozxsLEmIzRuuGkJMnw2eunjAkxk70+/r8rQOvGUyM3ioJDh9xDhphFg0aXitcTqM2Wnj0zOjFjk+77JNcq8Y6x7+8444wTICZiJnXKYvKW34IgGwjXcJk7+/+tzymh6JpP0fje83RfUExzcARUiam4ekKTWWUKJaLPF+SIEi0FN3wybCFzPtrMfIpv+yLVzz+M126J2fWMIz1ep5XhrHE0SRlBYsbTK511sDJRI9lYUqHKSUOVl47f4cKy8wQd/9qEz3Jxis9K+f5GUw8lHuizEjDXh+6GiaIYs/pGpiONONv60GTFRhwNRfrKUir+uAW/S5pFsMFQ6NWkLi6O+zjW6k4slR0jN4yCj97ZM3KjUeB2WcjOm0+vqR4BAV1C+qDt7LbOQY+fj5SLA3KdKkTMqGQapiZeRYoyG0GQY/eaOd63FYs3kIclF5RMMiwmQ10ICLQ5q6iw7sEvDizq5mknU6ibgUZuwC96qbUdodZ+BJVMy2TDUlJVefhFH83OCqqsBxAJzH2uzryfY73vUqZfiFKmpdfTzvHeLTj9AUMItUzHtMRVJKuycPgsdLqCXWbHGSfWzLl/FuokNcf/dQJrm7R1JaMWM/rcUiasvA2/10v3qT04e1rJWxHsatVXfxqf20lS8fQwxQyojWm4etpRp2SSMn0x+rwS1MmZCAoFiCJehw23uZO+2lP0VR4LEk+RkDx1Ifr8slGdC6AyppF/3d3UvPgXxkTA9jijQvT78TptKDSDF/nTJGUE/eyKkYNQOEi5cyAV9d/668W+hH6kfH/d5tEJttx8BR+6I4HJ01QYkmTs3Org738MiBBDogxDoozOdh8eT2T3oN5GCxlTUultCF6MKVqVT1dFjBJhxcAuQtEnFsWmvyFQ6FSkLy2hfcvFq2eWuapcEvfBWNWWuRCZXMn0D32bmp3/wdIRu3yc86k+8wYTJ38IjdYICMxf9uCg7bZt/M6IfUm5ODBYuG+hbhZ+0ceWzicBSFZlYfcNLA5MNixFIajY3vUMMkHGnKRrKUmYS6V1HwA5mlJK9fM5bN5Ir6cDlUyHXAh8fmYmrcXmNbOt6ynkgpLZSVdTop9LlfWclbVAvnYau3texid6mJV0NSX6eZzs2wbA1MQVeEUXWzufRCXTMj/5Rrz+8Z2lceKDNkXL7PtmggCVr1ddemImc/YqRL+fqlcfxt4Z2OK/UMyIfh/OnjY0yVlh96vNnEBS6UyMk+eFvigIKHR6FDo9upwiMpdci+n4Htp3v43XEckbKJCxYO2Qr7r7evD09YAgQ5WYjNIweP2BhLyJpExbSM+J8ITaOGMTj8M6pJhRG4LzuNwm6XYRLkcxM5aQ7P0VwWN2RHzarXfq+dZPjCgUA7uGDTUDuTRzF6n57WNp/PTbPbz6bGQPkEP/PMHK7y8gZaIRgPIbi0kpNlKyLp+3v7Yt4msdirZNpyi6Z1Hca4JkrZ9yUcWMJLVlvH7aNp+JT+dC4A80XDi4QqXF7/fh945uYtzdeZruztMgCCxa8R32bPvFqPoBYmZLHQ4KrTLkmMNnIVtTQqamiA5XLT3uARdWARm52nJ2dj+PT/TgE6HRcSpIzORpp1BrO4rZE4hCcX2wq6KR60lV5XHYvBGf6MUneqm2HWRG0przxAzU2A/j9gfuKR2uWnK0Zf1jp6sL2dX9Aj7Ri8Nnoclxhix1/HcNx7kyyVmQfVFrPkUtZnQZBdja6vqFzFB4bL3o0vPC7jdj4fqw2wqCjJQZS9AXTqL25Udxm8OzjNRPmIgqKdRswNnVStOmZ3B0BP9O2ow8Mhdfg6Eo1HYzY9F6TKf2h5UTNM7YxOceeqKp1BqC29rd+F1eZBI46VyOYWZjCaneX4/VGXHV8vlLNHz3oWTcLpFX/mOlqsLDdx8KXlTZudWJ1eJn9TW6iMVM5YY6nL0u5n1mOh67h/n3z6C70syGb2ynfkfzyB2EiaO1F9PRJpJnhf8MGA0p8wpQpSRIOsk9hzY7iaRp8beh7tpTg6c3clEcDn6vm6Ov/GzYNgXzb6Gn4SimxhPRDSaKuF3RhWe7eyRcVErWhRxrdJzEK7oo1M1kimE5dfaj1NqOICKilusQkLE45dagc7ziwEKEVq7H4QsN89TI9HhFD15xQDA6/TZUMi0yQYb/gzB7p8/a/7ofPwKB0FCVTIOAgMs/8P6c/+9xxok1uQvjf+8bjqhnYjKFEq9z5AeHXKWO+0RflZhCyR0PUPXM/+GxjBwikTChNOSY6PNS9+pjeKzmkNccHU3UvfYPspZdT/q81UGvKfVGkkpnYK4Y96K/VBlWzOhC4/1dXVa0ucY4XtEHY4/vzMQVqd5fd3fkE+xPfM6Azydy320dnD4emNhcKGY8HpHqsx6Ky0Z3O2/c3Urj7lYgYNUs+uMTLtu64WTcxYwgE8haM4mGFw7GdZzByFovTW2Z1rfjE2IWFoJAYnYpPQ1HY9Ldob3RlWCQMtxXkzF4zlers4pWZxUGRSqzjdfg8jtodpzB5bMj4mdn9/NBoWfn4/Tb0MgNgxy3ohCUKARVv6DRyPS4/Y5+IQMgDhHa7vY7A4JKpuvfuVHJxhfFxokfuQuzL+r4UYsZl6UHbWpOkHf8hcgUSrRpuTh64lszAUCh0zPh6o9T89KfRyy+p8ucEHKsr+bkoEJmAJG2HW+izcgLybUxTpo7LmYuYXyeoeOvFeqEkGOOtl5JxIw6TY8gl0W8qj/OyMi1SpQGaR7yzvbIbaenzVZx7KC7X8gMRWebj8nTR2cxnVaejCFbj1wdmvBftTF2ScOd287ie2BV3K3Gs9ZPvihiJnPNpJEbRYnbZKd7X13/z9Nv+CY9DcdoPrax/1jujKtJyZ/B8Td+09+m9fR7JGaWkjxhGqLfS29LBXX7Xgq6582542coVBpA4OzWf2BuDnZLm7z+S+hScpAr1JSuvLf/eMuJzTQdeXt0v1CUVsejWSAYLZqM0BDkVFUeNq8Jp9+G02fF43ci+2B3RMRPk+MMZfpFnLRsw+N3oZUnopZp+8PKmh0VTEyYh8nTSp+nE6VMg0aWgMXbTaergTLDIiosu5ALSkoS5tDoCM/BTsRPp6ueooRZnOh7D6WgIVdTHmQ8ME58uBLdu9Mmp6JLD925lJKoxUxv9TEy564le8G1tO3bEOIyJsjk5Cz5MAqtgfaDo7de9Vh7cfd24XM5kckVKBIMqFOzEITQB3BCXgkpU0fOYVEZ00KO2Vtqw7gakdZtr1F69zeDx51QGlKPZJxLB/8wO4cyRWi8tLNVmpooglyGJjMRR4tZkvGuJLQ5RsnGckZYiRpArREw9YwsYhP0MryjKEmz7hfLKFmbj7XNjs8T+vmPpZjxubx0bKsk+9qpMetzMPQl6eiL07DWRF+hPuwxJ6ajyzPGfZy2d06PalGjcP4ttJ3exqkNf0CVYKRk6Z3kTF9H46EBW+RDz/8AmULFvI8OnsNSseVvyORK5tz+E6p3PIW5KTCx9vtH/7yTyRTkF68iPWsGCoWG3e89RKIxH60ulfaWkRcGHW3SlUVQD7IzY1RmMiNpDQpBiU/00uaspskxkM90xrKTiQnzWJJyOyqZBqffRrX1YL+YaXKcRi4omJm4Fo08Aa/oocZ2CIu3m2N9m5lsWMbKtLvwiz5anJVU2w6Efb0n+7YxPWkVq9M/icNnod5+ggnawXO6PrX3HgSZgL3TzjPXvQCATC5QtK6IkmuKSC5JRpuiwW31YGm20LC9kYrXKnGawjdg+OTOu5Cr5EFjAKj0KkquKaJ4XRH6HH3/OI5uO50nu2na3UzD+434PeF97hMnJFJydRG5i3Iw5OjRGDV4HB7sXQ7aDrVTu7mO1oOjW1gvuCqfkquLSJ+ahjZVi9fpxdpqo+H9Rs7+twprqxX/IPfRofjE9jtRaAPT8CP/PMbBv4z8mU/I0PHRN2/v/3nbj96n6u3wzDpkShkFK/PJmZ9NxvQ0tCla1IlqRFHEY/NgbbNhqjbTcayDhh1N2DtDQxM1RjU5C3JIKU0mtSyFlNLkECHz4X/dMOx1HHvyBPsfie2CU9RipuPIFowlM8icsxZjyUyszdUAaFNzyFtxG4a8UtRJ6dg7G+k6tTuivkWfj+4j2+k+tgt3b3fI6zKlCmP5HDIWrkdpMAa9ljp7+YhiRq4ODS9xhZlv4+xuxdpwNmh3RqZQossqwPbBezDOpcVwYZAy+SDJn63SPUi1OUnjYiYOaHOSJBvLMQox09LopWyyEpmMIWt+qDUC5VOVVJ+NXM0ULMvl1U+/Q9vR0blBRkrrhpNxFzMQSMSv+uv7cR/nHBkrR++IGQmtG0cXYmbraaLp6AYAHL3tdNcewpBeGNpwmJIHfq+7/3W/z4PPG32treKya9En5tBQs4XSKTcD4HZZmTTtjrDEjLNFunuwJjM0HKzadpBq29CTMp/opcK6hwrr0HORevtx6u3HQ457/C6O9b475Hkb2x8N+rnZcYbm84SUy2/ngOnNoDaNjuE/P7p0HcoEJepENat/vpL0acELvtoUOdoUDRnT05l+91R2/mIPtZvrhu3zQjQp2v5w1gnL8lj542Wok9SDjpNSmkLx+iKeXvfsiP0qNAoWfnUeZTeVIZMHZ6KrlWrUiWqSi41Mvq2c5j0t7Pj5bqyt1iF6C0abqmXVQyvInhtsYiVXyVEnqkktT2H6nVPZ+4cDnHmpAr/Hj0wZG2v7WFF+UxmzPzOThIzBd1DkKjmaZA1pk1MpvaGERW4f/7n6edzW4KiAvMW5rPzJcikuOSKiFjM+t5Oq1/7MhFUfITF/MuqkgGe8Ni0XbVouAL21J2jY+mxEOxY+l5Palx/F0T50BWq/x03PiT30Vh2n6ObPoj0vbEyTmo0uuxB7a92Q58vUoeElXlv4E46+6hMhoWbazLxxMXOJMphgOYcgC70xSSkuAjsI43UCYo20OzORT7zefcvBfV9O5PMPJvGX3/Vyod5WKAS+/gMjKWly/vFI5MnUh588Sdl1RXidXhwmF6IvOEbC3h3bRHPz8WbsTea472JkrplE9d92SFaxXQox01fRjq02dFEvHGzdwc9Rr9uBXHnxcyjSs2awf+fv8Hoc/WLG6TCh0oRXk8jn8uLutqFKDQ0DjjWa9FAxczmSOSODxd9cSOKEwO8r+kWcZhcyhYA6cUB0qBPVrHpoBTK5QPXGcCJaAsjkAprkgCBa86urEGTDW2C17GvB5x5+t0NjVLP+D2tJnxIsvvweP85eF0qdEqVuYLqbuyiHDz1xHRu/8i7dZ4b/TmmMaq77y9UYi4IXvnwuHy6LG3WiCrlKjkKrYOl3FiGTCzjNzosednUOmULGiv9ZSsk1kTnZ1W9rDBEyAPYuB027W4KOaYxq0iYPmGl1HO/EbR16ca23PvaLEDGxYvLY+6h58zE0yZkY8spQ6o0gCHisZixNlTh7Woc9XztI7krTO88OK2TOx+e0Uf/G45R94jvIFAPx2Al5JcOKmcFC1PwRxGpYGytDjqlTMsM+f5yxhUI99M1H9IXeTG118SkqNxhS7iBcSUj5vtrqI/+8PPmohbXX6/jUlxJZe72Og3sCq+Glk5V896FkFizVkF+k4NQxNy8/Hd4q4/m4rR5mf7KIqbeFmqEA/GXu0xH3ORJtm05R/KklMe/3fNRpepLnTKDnYHjPkGiQKsQs3NoycmVoTpLPM1bri4ghO+IKpRaPO/xcGHuLWRIxo840INco8TlHEc95CbH6lytR6pSYqkwc+MthWva14nUGFqJ16Tom31rOjE9MQ6aQIcgEln5vCe1HOyKqK5IzL4tlP1iCIBMwVZk49cIZ2g534Oi2I1fJ0WfryZyZQdHaQhp2DO+UK8gEVj20MkjINGxv5NiTJ+g40dlvaGLI0VN640Rm3D0NuVqONkXL1b9fwysffx1Hz9CLNou/tShIyLQf6WD/wwdpP97RX2c7fXIaM++dTsFV+Sz+xsKw3wcpWPzNhUFCRvSL1G1toO7dOrrOdOM0uxCEwN82tSyF3IU55K+YQMWrZwftr2V/Ky37g+f0OQuyufZPAw7Eu3+zl67To1t4GS1Rixl1Ujqu3i5AxGlqx2lqj7iPpNKZQT87O1voqzoWUR8eixnTqQOkzhh4SOqyCyO+lkh2j1ymDkSfD0E+UCRtMKvncS4N1ImhOVTn8PtCH2D2JhN+rw+ZIv5F8nQSGA1ciUj1voo+P/amyItQ2qx+PvuRDn706xSWrgoIF4DyqSrKpwYmre9tcvD/vtmD2x35LsTCL83i4N+PU/l2HV6XNMnBrRtPUnTvYgQhvkUJMtdOlkTMSLEr4/f4Bq2f4/M4kauCw6W1xvi5CgV2usRBFwJHQ1fHacqn3U5d9TsAaHWpFJVdQ2db+M9/e30Pxum5Mbme4RAEAX1xGr2nhl+cvdRR6pR0V/Tw5mffxmMPng/ZO+0cfPQwphozqx5a8UF7BXO/MIdtPwo/rHP5j5YiV8kDuRN/OhhSb9ze5aDjeCfHnxpZwE++tTxQ4+QDjj5+nAN/PhTSztJi5dBfj9C0q5lr/7QehVaBNlXLsu8v5p0Htwzad8b0dIrXFfb/3HqgjQ1ffge/97xwTBE6T3Wx+ZtbWfyNBUz5SPxrTYXLhGV5TLpl4P7k6HGw+Rtb6TgeGlbs6nNjqjZT9XYNMqUs+He8BIhazEz++HfxuZ04OpuwdzZi72zE0dGIqy98VZaQVxL0c1/t6OKCLbWngsSMOjk98k4iCUsQRdx9PUHjKBPC2x4fZ2yh0OjRJA79efE4QkN4RJ8fR6OZhKL4C9iEwnGRHA+kel8dzWbEUT4cujp8PPDJTopLlSxYqiYzR4FMBu2tPvbucFJdMfqV4pp3G7B3ObG2S1eDwtVpxXSwgZR5BXEdJ2P5RCp+/y5+V3wNWTJWDr6rFUs6d1ThHaTavaWzjvSS+fQ2n8JlM5M8YRr69ELc1siFMwQMewL/H1ysiH4fTks3qcXzsJtbQRTxed14HKMzQ6mpeJOJk25k3pKvIggy5i97kLbmA9RVh28WZK2RJt8LQD8x47IXMwB7frsvRMicT82mWiZeV8yEpQGr9aI1Bez+zV7clvB2AOUqOdUba6NOAhdkAtPvHsjB6zrdzcFHh8+16jjeyaG/HWHBVwIF2fNXTCClNIWeytCd8/KbB4SA6BfZ8fPdw07y9z18kMI1hejSxkY5hVmfmtH/b79P5J0Ht9B5YuS88HDNFsYS0RsAHH0PbWoO2tQc9LkT+4/7XA7snU04PhA49s5G3H2Dh1lcKACcHaMr1ubsDr7JyIcJG4oVHospSMzINWMjTnKcyEgpmjXs60M9rK01nZKIGW2uEYVBM+iEZiyRuHwZxjWrafjxT0ZsKyiV5H3323Q+/R+c1eG5scQSdboeVUr8w1MAbHXRb7nXVHqoqYxtiItSp2Tl9xey7JvzcPa6QlZIn/7wazEd7xytG07GXczIdSrSl5TQvjV0RyNW6IvT0OUlj9wwSoYKMWs5/g4qrYGSZXchyBWYm05Sv+9lsqesiqj/vFnXkjV5ZX/eYOnKexH9Phy97Zx487dBbWt2PUvhgpuZdv038LpsNB15m66a/YN1OyI+n5uKky9x9tSrqNQG3C4LYoT2wdZq6VzrDBNHsUB6iWFrt9F2eOQIm7OvVfWLGblKTu7CnLDNAES/yIE/he6eRErWnEz02QOW2SefORVWnawzL1cw5/5ZKDQf7HTfXMruX+8NaZe/fCAFovVgG32Nw4t2n8tH7eY6pn704u/OJE4wkDF94PNa/XZNWELmUiVqMdOy67/9/1bqEtGm5aBJzUGbmo0mOYu0aUuRKQNJYz6XneP//EHoReiCE+vCKcI5GD5ncNzjYG5lscbvDnZ0kanUQ7QcZ6wiyBVkTl05bBunuWPQ431n2iSpLwGQWJ5Jz4HLyATggzAj0Xtxah8kTsoauVGMsFQO/vm52FRtrKNqY53k43buqMZrdaHQx/d+mbl2UlzFTMZV8Q8xc3VZMR0YPFzO53FSvfM/Ice7agYsfM/Vmzmf5mMbg2rTNB15O+xaMdbOWk68+buw2oaLKPpwOc2jOldSC+7SDMnGulh0ngrv/Ww5ELx4nDYpNWwx03WqO2wnseHImh2co9y4M7yFcI/dS9vhdvIWB8ITs+eEPgv02Xo0xoH7U+uB8Oyc2492jAkxk3XB71T5ZtVFuhJpiIkBwDk89j48DX30NZxBrtaiS89Dm5aHPrcUQ17pkDslgbyTgUsZbTxuyNb4CC4ZscDvDd5WFWQxfUvHkYCCRbeg1qcM28Zuahn0eO/p+BeCPUfipKzLSsyIbjeNP/nZRRtfSjHTdya6z4kxRcba63VMnaEiJU2GKEJPt59TR91sfsuOOYxaNINRvTn+OSWD4Xd7ad9aQe6NM0ZuHAWp8wtRGjR44rSjmbEi/iFmbZtOSebKJgVzFn85rHaHdj8cVjuvzSWJQx6AvigVmUKO/yItwEiBpTk8keG2uHH0ONGmBFzxEvPDd3vrPhsb85yUiQO7ovZOO66+8O3CTVWmfjGTXGwM5ImcF16VlB8cMWSuC8+Bq69BmvpzI3H+eyP6RTpPXr67MhAjMSPIZGhTc9BlFqLLzCchs6Dfoln0+3H2tNJ9ei/2jsEnYj6XPWhHQ6ELrbQbDgptcMiIOIyDy/lJ+9FwoctVvJNax4kdglxBwcJbSCsd2X3E0ja43ba1skMyE4DE8nGnvFgi2fspBmx1R8tNH03gG/+TjFYXem/58B0JfPX7Rv73/5l49dnYVkO/45nreP5jb8W0z/Npfftk3MWMoJCRcVUZza9HZigTDvriNHT5wy+CxILWDeFVfb9UaK7f0f9vXUIG6VkzaGs+gNvVh1KVQGbOXFoadkXUZ+/JFknEjEylIGlaDqYjjXEf62IxmB3vULj6XP1iRqUPddEb8rze6GsUAUH1aZzmyBYsHKbzrkEATZIae9dAdI/KEPz7hNu/K8y8oXhz/q6S2+LG67i8i7lHLWZKb/oy2vS8/grpbosJe0cD3af2YGuvx9HZFLJ7cSE+px2lYUBFajPzMVeMXDDrQrQZwRbPXufQSa0K7egE04UIF1SG949ZC8xxzqFQ60gpmk3m1JWoDSPnu7isPTh7Bw8T8nt8WCs7SZwc/1V+w6TIJ98FD/2U9n8+jrO6Bt20qWTe9yk6nngS29FjqAsLyfrMfdR//4cAJK5YTuLy5SiSjXh7TPRu3Ypl90CxN5lWS8HPf0bj//spxmuvJmHGDBAE+rZtx/T2hkHHl6nVZN7/GUSvj/a//wPR7f7gun6GTKsBQaD97//AfjJ4wpb77W/Su/U9tKWl6KZPA68X+5kKul98Cb9z4KFiXL8Ow6KFyBMT+xco/A4HbY/+DVfDMLsOAhjKpBEz9mYzXuvoHt5XXa3lh79Kwe+DzW/a2b/bRXeHD0GA9Ew585ZouGpdoI25x897m2JXFya5OL621X1n2rDVd5NQEN+cs8zV5XERM+kS7Mr0nmwJywVPEGQkTZpDUulMNOk5yLUJCHI5PpcDr92Cs72Z7iM7wi53EE/OL4Y5b8lXOHbg7zgdpvNeP8L0uffS0hiawzAUvSdbyL56SkyvcyhS5hdc1mLmwlpTw3F+/Reldug6bRcSK6cspW5gTK8zst0ynzN4cq9MUMF5YuZcPk1/+zDdHr3OsSEalAkDYsxjv7ztxCEGYiYhuwhEkd7aE3Sf3oO1uTKiWi0Ajs4WNOkD1oqJE6fTtuN1xKFKXg9BYmnwKp8qMYXkyfMwnT4Q0vb88c7nXH5PuMhVwYXHfJ7YrDhcLDImL0OTFPu44Kzpq/G6YrtyHAlyhQq5SosmKf2D3y/8HbTu6tDPz/mYDjdIImbUqXp0+SnYG8Lfonc1NqHKycFZXYOmqAhPZxfqwsKAmMnNwdUQeCgnLltK8rXX0P3Sy7gaGlEX5JN66y0IMjl9O3cG9ZnxyXuwHjxE77tbkRv0IaXpz0XEyDQaMj/7GfwOBx2PP4HoHbjJ13//BwgqFYW/+sWQ15526y30vreNlt//AYXRSPpdd2Jcv46e/74OgH7eXJJWrqTlD3/E09lJ4pLFpHz4QzQ+9Av8tuE/a4ayzLjna5zDfGz4OgnD8YnPJeL3wRfu6mT/rtCVweeetLJwmYZH/pXOvV9IHFHM5MzJwOfx0348EHJQsHyI+6BchkwR/wrWrRtOMfH++FaTNs7IQ52mx9UVfYz++UjhYhZObRmZQkXhLfejyy0KeU2h1aPQ6tGkZtNzfHc8LjEqNNoU3O7gv4vXY0erjWzHq/fE4GHA8SB1fiHVj+0YueElilwdfpTB+RN+j0P6CfP5u0gKTWTREQpt8PTXYwteiL5QlMhV4fU/UhHQaLlQZA3F+dcf7jmXMlH/hu2H3iUhqxDDhDKSiqYhin5cpg5s7fXY2+uwtdXhNHUQYpNzHvbWOpKnzO//WZWYQurMZXQd3h72dWgz8kgsmRZyPGf1rbj7TNiag8OEkifPG7QfuTYydyOVMXhV0e+KbcVsqTHmTyMxO/YP6ZHcwsYqos9LV8WeYduYDjdS8PEFklxP2sIiGiISM42ocnIAUBcVYtm9m4QZ0wFQ5ebiagyIGeP6dfS+uwXrgYBVpqejA2VqKsar14WIGUdlFX3v7+hvdyGix41MoyHrc5/FazLT+dTTgxYdvVAEhV57U/+Oj6etHdvBQ6gLC/tfVxcW4Gps6L8G68FDpN52K6rMTJw1w7ujpS0MnfjFC9Ph0a/ilk1WcmCPc1Ahc469OwKvz5o/sjhb/ZOAdf1TN7wKwHW/v2rU1xYL2t45TcmnlyLI4yicBMhcVU7DC9HZwJ6PLj8l7jtKPpeXjq2DF647n/RF64KEjK2pCmdHM36PB5lag8qQjNKYgqN17OXb9ZrrKJ96G4217+Fy9aFSG5hQuJJec2TXaqvvxm2yo0qOv5uoviQdVbIOt0k6O3MpUSeGv8ijOS/MK5LwtFhxfriaJjkywydN8nkL0WKgzsr5XChu1InhhdGF2260XBj+NhTnvzeqRDVylTxoJ+1yI2ox07r3TeBc3kwuCdlFAXGTV0bq5EAugs/tDAib9nra9m8M6cPWWEV/KdUPyFr+IbxOO+ZBdlUuRJ2SScEN9w5qHCBTqim6+X66jmyn9+xhvA47yVMXkFQ2a9C+tOk52JrCc32QqTSokoILLbrMl3eS1ZVGR8Uu3PbhE//Mx1vwe3zIlPHPm0ldVBTRpMzV0Ihx7RoEuRxVTg4d/3ic5GuuDvycm4v5nc3I9XrkBkO/sOk/t74B49XrkScl4usdSGp01Q0/0RB9PjLvuxeFMZnWh/80uJAJ59obg0Ni/A5HIDTtAzxt7STMnIkiORmvyYRu2lREj2dQgXUhqRKKGfOR0e/MeDwiVsvIYR92uxhW0cxnb32930UOABH+vvw5/BeElsgUMj79/h0RX2+kuHtsdO+rI21x8ciNoyBjdWzFjBSJ/53bK/HaR54gJk8eWAhs2/5fug6+F8erii0VJ16kdMrNzFn8ZQRBhij66ek8Q8WJFyLrSISeA/VkrZPARUqAlPmFtG26vHKZzpE4IbxaeRqjOihnpbde+sT3rjPdFK0tBECXpkVjVOM0hxcdc36CvLmuN2Si39sQXFsuqTAJto28MGXICd8I4XwbaVmYCzoXGhMMhbnWfF7fAqnlKYMWy7xciNnek+j399eT6TwW2FGRq3UkFUzBWDITQ/4kDBMmDSpmXOZOLPUVGAoGLG4FmYwJV38c46Q59Bzdia25Bl/QroeAJi0L46S5pM5cGhIeFnBI+6AAmEJB+rzVpM9bPeLvYSieGvaOkKFwUoiDmrPr8i+odaXgtploOTx4Lsj5+N1ezMeaSJkb37oZAEnTc5DrVPjCmOQAuBsbUGZmoMrLxdPRgc9mw9PVjSovF1VWJq7GRgTlubjjC7bHP/hRdAeHD4ie4cMJVBkZ9J2tRJmRQcqHbqT7lVfDutYLEV3D/46WXbtRFxWR94PvIToceM1m2v/5BD7r8OFEyiTtqPKPRoO90YSre/ThTQd3uyibrEQmG3ojS66ASdOUHNo78kPce0Hct8vixjNIYqjP7QtpGy9aN56Ku5hJLM9Em2PE0WKOSX9jJcRMrtGh0AcmN6Lop/tI+FXYxwJul4WTh/+FIMhQqhLwuG2I4ujyKSQTM0DW2kmXrZhJn5qGTC6ELHBcSM787KCfu05HX0srUi60S56wLI/KNwY36zkfpU4ZZOvcdiTUoMXSbMHV5+7facmem82xJ0+M2Hf61LQR25zDbfOgTAg8fzUpmhFaB8icHd6zq/VQ8O9Ucm1x/MTMBR8VKUKULyQ2YkYQUCemoknJDtSXSclGk5yJKjG13xjA53bi6Kwdsouug+8FiZlzGAomfXBcxGu34XM5EORyFFo9MuXQ223tezagyy4ksXjqkG0GQz9hIrqsAuxtI29zp8+9KuSYs3N0BT/HGVv4fR6qtjwRdg5U184aScSMTCEnZU4+nTvC2z30mnsR3W50U6bgqq0DwFVfj27aNPxOJ77eXhAEfFYr6oJ8HBUDNTnU+fl4zWb8jshCJ30WC92vvIr1wEGyv/QF3O0dWHZF5k4ULur8CbT95VGcVSM/wM6RuqBQMtfBrj3RFQP94y/NPPFqJg9818gjv+rF6w1+ami0Ag/+yEiSUc6ffh35rvA/Vw29An70qdMR9zcaunfV4OlzokwM72E+WjKuKqP+P/ui7keba0RfEt/iic72vrCSzM+vpea1WUa9C3qxEUU/bpdl5IbD0LO//sIAj7iRPDcfdboeV2ds87DGAupEFROWT6D+veHNIspvGqix5HP5aNkn/UJu58kueipNpJQGdlmmfnQKVW/VjFg4c9Kt5UG5QZWvD/48bdzZxMRrAwstOfOzMOTosbQM/TcXZALF6wvDvn5bu42EjEBoZNaskUWKyqCiaE148wxTtQlTlYnkD3agyj9UyukXKoJ2bGLFhSGG+qwEyXeBohYzZbd+FU1KFjLFgLDwuZ04uproaziNo7MJe2cTrt4uhsubsTacpefEHlKmLRqihYBCpw/Lttll6qD78Pv0HN/NxI99DVXS8LHNvZVH0aRmo04JJIZPuPYual/6C+6+oXMT0uevQZuZH3RM9Hqx1J8Z8frGMq7eTsTMktCaPVcQfq+bqi2PY+8OPzyoc2cVZQ9EVnV7tKQvnxi2mIFAqFnC7FmY3gzY7Lrq6klau2YgrEwUMb+zmeRrr8Hb0xMwAMifQOJVK+kZ5a4KBPJ1Ov/zDOl334W3qwvH2eD4/3579FF+1hQpyShTU4NC4MIhfdnEUY03Grp3Rydmps5UsX+Xi7s/a+CmjyZQcdKDuceHTC6QkiqjfKoKrU7g4B4X99xvQKUOncl990ujWzHd9+ejUV17uPi9Pto3nybvltlxHSdzVWzEjBQhZq0bTg33uOwnKCIhQsOcyw232Y75RDPG6YObWsQSQRDIXj+Fuqej/zyNRRZ8ZR4dxzpw9Ayeqzfx2mJyFgzszNS+W3dRcmYAjvzzGKt/ESh6nVqewvwvzWHfH4cOKc2Yns6cz8zs/7n1YNuQE++zr1X2ixmZQsbS7y1m01c2D7lrNf3uqSQVhO8C2X60g4zpgYWRxAkGSq4ppnrD4M8MQSaw9DuLws9pEuHoE8e56mcrgICxw/rfr2HTV98NS9Co9Kqw/6aWZguiX+w3PyhaV0jNO3XhXWeMiFrMqI0Z2DsasHc2BYRLR+OIwmUoWt97FW16TohIiASf007Dm08G7KC9bmpe/DOFN30aTWr2oO2dXa20bHmJtDkrSU9ZA4AqKZWJH/8aHfvfpbfiMB7rQM6EKimV9PlrBhVdlvoz+N2XtptZ/Z6XaDr4BoasiSTmlJGYUxYXd7OxirO3g5ptT2HviWyHzdVpxXK2XRK734wVpZz941a8tvA+a67GRnRTp+D8YGfGWVdHWnoa1oMDN/y+7e+Dz4fx6qsD1swmE6Y33sSyN7qHte3oMZRpG8j45D20/P6PeDo6SL7uWpKuWtkf3pb5qXsRfT487e00/+a3Yfft7bPgbm8n73vfCRzw+/F0d2N6401sx44Peo7SqI17SFP/9VldmI9H57L0098PLMQYEmXMWzz4g2zuIjUw+GujFTNS0rrxVNzFjL4kHd2EZOyNI1sdD0fcLZlFBg1h0uUUkjJjKUp9Egp9Ikp9UpCYUSYmM+1rvxu0y4Y3nqSvcmhxqs3MJ3HiNHTZhahTMpFrdCCK+FwOXD3t2BqrMJ3cG/QsHI7cdR8hedpCPFYzFY/95IOjAokl00iethBNWjaKBAM+lxOPxYytqQrzqQM4u6L7vnRur5REzABkXX35ipnEPAMfeuJ6Dvz5MA3bG/utfbWpWqbcPokZn5ze39Zj93LwL5GX0ogVtZvrqFqex8TrSgCYfvc0kgqNHHviOB0nOvt3afTZekpvKGHGPdP63b3cVjfv/2TnkH23HmyjYXsj+SsCZT9yF+Zw7V+uZv/DB+k40dk/zU0uNjLlo5OZdHNZoPCmTEAmH3mL8Ox/K5l+59T+3cQVP1qKLl3H2dcq+wuAylVysudmMutTM8mclYHP5UOmlIXlmla9sZaCq/L784oMOXpufvpGqt6qpn5bAz2VJlx9bmQKAXWSmsQJiaRPTSNnfjYao5qX7nhtxDEgYJ7QcbyTzJmBuWLhqgIWfm0+Rx8/FpTDJFPI0KXr8Lm8Qwrl0SKIYZYWHjosQ2A0wmUoZEoVE669O+LwMAB3bzf1rz8eckMUFArSZq8kZepCVMY0QMRj6cV0+gCdB7bgdztRJaVS9snvDmoi4HVY8TkdyNUaFLqhk7tqnn8YW8vgoXTaXCOL/31vxL9TpHhtLrbf+OeY9qlKSCIxp5zE7DISc0pRaGJTo2cs4XM7aDuxlfaT2/H7RmcxWfDReZR8Nr42s+eo+P0Wmv8rzcr5WESQy8l58GvYT53GumcvoteDoFCQMGsWxvXrqP/eD4KsoM+Rf8dcJn5uhSTX2Lb5DKd+/nZUfSxfE5lDz2C8/+7QYYILvjCTA48dD6p8DYFk2gmLsql4I7qdpUhY8NhdcQ/fqvnnLuqeCr9+yYVoMgwsefbTMbyiUExHmjj89dDwv5QZS8hZc9uo+hxKzGgz88hd/zE0aYMv9p2P3+OiaeOzw4qic5wTM6Lfx8k/fAuZSkX+DfeiLygb8pymt5/GfCY6kwZ1mp6lz31GklAzgMNffwFTFAYfY4VP7b2nf3K857f7mHnvdLQpgXuP6BcDzliCEHAvO98/xC+y7UfvU71x6BSCc3xy51399saHHzvKob8didn1KzQKVv9yJROW5gUd97l9uHpdKHXK/tyUc7itbjZ/c2tI3s2F6NK0XP/YtSTmBc/9fC4frj4XKr0qyOb5vR++z4x7ppJSGrAX3/HQLiperRyy/0UPLmDqRy/I9RLBYXICIuokzYAwEmHzN7cw/8tz+3eAtv3ofareHvo+rdAqWPPLq8hbEpnI763v5cXbXg27fc78bK55ZF2IyHL1uvC6fCh1iv7Cqrt/s5dTz4cfxRSOTIlBzkzwICOFJ41UO8bvcVP/+j8xls8mY9HVqI0jP9z8XjfdR3bQsfcd/IPkOIheL53736Vz/7vIFEpEUUT0BU903L3dmE8fDLKIPsc5r/7h6K08OqSQudRx23rpqtxHV+U+QECXkt2/a6PPLEYmD79Y1ljC7/Ngaa3CVH+MntojIxZ3HYm2zWco/swySfIxcq6fdkWLGVVODqrsbFp+/8f+QpwA9lOnSb7+OmQJukHDz7KvDbVvjxft70YfcjqcEIkFc++bxuEnToaIGaVOwcIvzpRUzLRuOEnpF6+K6xgZV5VFJWbSl1+8xH9bYxXNm54JOibXGshafgMAPqeNtu3/HfTcoYpleizmoGesy9SBo70Rr7UXUQRNaib6wkkIMjkypZoJ195FVU87ru7hJ4DnEGRyFAkGJlx7FwkTJgIizq5W3L3dgaT/xBQ0qVmIiFjqos/RcnVZJQs1Ayi8exGmIy9KMpZUuK0e3v78JlY9tILkickIMiHYxvgDXH0udv5iD7Wb66S/yAvwOr288/UtzLl/FtPvmtovmuQqObr0ULvu9qMd7Hhod1jhVvYuB299biOrfr6CzBkDUSpydXDfHruHXb/eS/WGGvKX5/WLmZHY9/v9yBQyJt9WPnBQAO0FhgBui5tdv9pD/bZGSm+YGHY4m9fhZdPX3mX63VOZcc/0sK2jIzWAadnfyo6f72bJtxYG1eRRJ6mHiBmILTExAEgpn0fGrFWojZkjipkjf/n6yB2KIuYzh+itOIIupxB9fhm67EIUOgMKbUIgYdlpx9HZgq2xkt7Koxc4nQ3NcAU9W7e/hr6gHGVCeNZ353Cbu2jZ+lJE51y6iNh7WrD3tNB24j0EuQJ9RiFpE+eTWjJ47R6AntojF7Vopuj34fd68LntuG1mHOZ2nL3tERdmHQ5XlxXz4UaS54w+TDJcDKUZGEozsFSObEN8OeLp6UH0eEhasTwQCieKKDMzSb7+WlyNTYMKmaSpOSQURFaMb9TX1+ug58DYq+sRLoIgoDFKU1T0HG2bzzDx/hUIcXTC0RenocszYm8yj+r89BXxzbfy2d10bh98Fddl6sBlCv6+q4xp/WLG73ZjOrk/ovG8diudB7eAX8R8+gDu3tCQRHVKJkW3fR5FQiKCXE7anJU0v/Nc2GPkrLmVhAkTsdSeovW9V3Cbg8dQJBjQZRfhc8ambkvrhpOSiZnk2RMwTs/FfPzyMf5RJ6ow1Zh59e43mHhtMUXrikiZaERj1OC2ebA0Wajf3kDFK2fDtkGWAtEvcvAvhznz8llKry8hb0kuiXkG1ElqPHYP9i4H7YfbqXuvgeY9kYUz2tptvPHptylaXUDx+iLSpqShTdHgdXqxttlo2N5IxauV2NoDcxxzbXjhmAB+n8iuX+2h4tWzlN9URtasDBIyE1DolLh6nVhbbNRva6DyjSrsXY7+/guuCv/6Rb/IsSdPcPqFMxStKyJnXhapk1LRJmtQGVT4vX7cVjfWFhvdFd20HAiE10XK2dcqaT3QxuRby8iel40h14BKr8Tr9OLqc2NttdJd0UPb4VD3uGiJWswkFc8gf/XHgcCui8fWhzIhEZ87EA8nVwXUpa21Bkvz0FttgyGKfmzNNdiapVkd9Dnt1L38KEW3fiEsowEAd18PtS8/itd++bmahIPo82JprcJtMw8rZtqOb4k4D+VSpHXTaUnEDEDeLbM5/atQq/MrAb/NRvs//knytdeQtHYNgkKBr7cXx5kzmN4e/D3Ju2WWZNfXvvUsom9sJmQrtQryFg6EFRUsz8XnGrhWmUKg7LoiTLXS1o3w9Dro2lMTd4OG9BWjMwJQJetImpYThysaoGNbJT6ntJXUO3YNbz/v6mmnddt/mXDdXQAkTIhsdyqxZDp9VcdpeOMJGCRcxGuz0Fd1LKI+h6Nj61nKvrQKuVaaiIGiTyzi8Dcun8VMmTKwmOD3+jn7ehVnh3D6ipQnlj4Vk35GwtZu48g/j3Hkn7H7TAEgQu279dS+O/Ii1eG/H+Xw3yOLnOiu6GHXr4Yv0H2OA38+xIE/H4qofwjkN519rZKzr0U2F48ES7NlWAOGeBG1mEmfthSAlt2v03lsG6Lfz8z7f0PzjlfoqdiPOimNvBW3I1Mq6TiyNeoLjjfO7jYqn/4NOVfdQtLEGcEF5s5D9HnpObGHth1vDhradqXh6uvG73GF1Pu50ujYdpbSL65EaYivzSxA1rrJ1D+9d9SrzJc6joqzOCpGrpAOkFCYSsZVQ8frx5rWjSPXCLlYyJQyStbmk7cwC4B1P18W3ECE3kYLW368W/Jra337ZNzFTMaKiaMSM+nLJsY9hDSc2jIXA0vtSc75HisN4bs1QeBZ2fLui4MKmXjgc3po31pBznXShJQmz8m/rHZnpLKtH2ecWBK1mNGm5eLobAoSKn6vp39S6+rtom7j40y+8/tkzV1Py543oh0y7nhtFhrefBJVUiqGoilo03OQaxIQfV48tj6cnc30VR/H54qtG8OljYjd3Io+vfBiX0hcKfnHN+l4fAOWHYO7ZfldXlrfPkn+HXPjfi2CTKDw7kWc+sXIhT2vdIo+sViyh3RfRTuWithvo8cKV5+bzT/YiSATuG/bHTx1w6tBhTNFv4jfe3F2lbr31eE22VElh8a5xwpDWSaazESc7RFaesc5xMzRbB6zE2K/24XP5UKu1iDI5AhyRUje6VBY68/itUdXQyZSml87KpmYASj7ymr2f+5pxIv0vRlnnCudqIOTZUoNrr7gYm1+jwuFeuBh5HM7sTSdxVgy88LTxzTu3m66j7xP0zvPUf/6P2l461+0bnsV06n940JmEBw90dlqXi40v3Y0LPeNWJC5dhK6fGnyQC5V9MVpktQGOUfza5eGMYPoF+k6a8Ln9gX9d7GEDIDo89P2TvyLdUa6+6PQq0meOSFOVxOgdeMYrygvnpcQHMG6gKMj8tj7aLFUdkjqMqYvTqPgo6HmQeOMM440RL0z4/e4UOqCE+Y9dgvq5ODaJF67BWVCZNvT41xa2HukrwA8FnG09tK1s4b0ZSVxH0sQBIrvXcyJ//dm3Me6VCn+1BLJrFq9FiftWyukGSwGvHrfpot9CSG0boj/zmb6shIaXwo/5jxtcXFcjQlEURy0toxUCHI5CXmlJOSVoEnLQpGQhFyrQ6ZUIZMrERTKURdS9jlik9gfKY0vHCR5Vt7IDWNE4d0L6dheib1h6GLb44wzTnyIWsw4e1rRpGQjyOSI/sDKjbO7maSiGSi0eryOQGK8Ni0Xnzu+NqPjXFyiTfBP/vBSkq9biMygxVXTSufjG3BWB3Z7Sv7xTTr+8RbGGxajKc7G291H19PvYtl1ov98QS4n7c41JK6ciSxBg/1kHR2PvYmnrWegjwtCxCb++7u0PfwK1n0BG11BqSDjvmtJmF2KzKBFplbhd7jo23qEjn+8BYAyw8iEn396yOsAqH96ryRiBiBjZRlpi0/TFWW1+cuR9OUTSVsizd8BoOnVo/hd4YXfjDM4trpu+iraSSyPXwHapOm5KBM1ePrC22FPXx7fEDPTwQacHdKGYp0jZeYSMhZdPWwNtWg4Ny+Qmq49NdjqeyRzMJQp5Uz+5joOffWFMWv+cSWQqi9iXuHHADjS8DLtfWcQBBk5xmlkJ00lQZ2GSqHD7/fg8PTSba2joecgDrc57DE0ykTykmeRqi9CpzKilGvx+BzY3SY6LVU09RzB7QsV8QICa6Y8iFymotfRyp7qx0PaGHV5LCy+p//nQ/XP02kJNWGYW/hR0vTF+Pxe3j39G8miQcYqUYuZ3vpTJGQXk1g4ld6agHuEufooKZMWUnrLV+itOYYmORN9Tgm9tYPnGYxzeeAwtXIuSTRSktbMIWn1bJp/+Qzerl6S1s0l94d3U/fAw/j6AjeFjPtvpO3hl3FWNJG0Zg5ZX74J+4lafH0BO8TUj60iYW4ZTT97Cl+vleQPLyXvh3dT95VHEL3hPVCTb1yMujiHugceQfT5yP3enbjbevqFDARE13DXAYG8iZ6DDaTMlcbZrPxrazAfa8ZrGzejOIfCoKH8K6slG8/n8tL48sWrhH050fr2ybiKGUEmkLa4OKzQLplaQcr8wrhdC1y8xP+c1beRMnNJ/8/O7lYsNadwdbXisfbhc9nxe9z4vW7KPvk9ZMrwalSMCUSo+9cepv7wOsmGTJqaQ+kXVnL24bFvdnQloFenYlbomV1wG0naYCdCmVyOQa7BoMkkP3UuJ5rfpNU88vewJGMZxelLkQnyoOMqRQIqRQJGXR5FaYupaNtMkyk45FhEpM/ZTrJuAnp1GgIC4gW1Go26YFvxJF3uoGLGoAncHy3O9iteyEAMcmZ6zuyj7cAmbP+fvbMOb+u+9//riFkyM8d2OGmwSYpJU2bY1na8juGOewf3tzu8Y+q2jqHt1nYrY9o0adpwGuY4ZgbZFrPO+f2hWLYimTnR63n8JDrnSzqWj877+6G2/l1hR+NpbDVHUJvSyFx6Naai+YS8Ltr2vjLESElmO2IogM8RX6dgJKTcfhnd/3kLf10bYaeHnme2gyCgX9afgcrx5mHc+6si55/fCXIZ6qKIO6OgkJNy06VYH9uMv66NUI8T6yOvI2hUGNeNPBBUMycP74l6RH8AKRTGfaQGdWGsy+RQ6xjIeIrzjRZ1uoE5n5yayvazhYpPX4kqVT9l87W9cpygfeTW5/nvmsu9r9wzorZytZx3v3AX2ZdM3gP+nU/exrKPLZ208UdDx9bTiMHJ3dFPX1M6onZpK4uQqyekJFtCQi4/XTtqJm38wTAUlg8QMhItrz9B9SM/oWPHy9hOH8TdXI2vq5WAzUrI5ZgyV82JpGPbGVy11uEbTiD5dywl96ZFUzpnksSYtDlcUnRPVMg4vO202o7T3HuEXk9/LJdMULAo7xZM2pzBhgJgYd7NzMm8Iipk/CEXHY7TNPcepsNxhkAosvGqkKtZkHcTZZmXxY3h8EYKzsplSrSqlLjzFl2sa6RFG58OXqXQo1boz42XdO+HCbDMhLwu2t+Jz6ZUv/kRLDWL0ablEXD1Yq87FnU5S3Lh4u1pRWNKH1UfQSFHlZNKzhfuJucLd8ecU2ZYov8PNA4oGCdJSP4gMm0ka54y04KgUuJv6M8iJYVFAk2dqArjhcZgBFqtaOcXIygVSGER3fwi/PWx1a6HWsdAbEea6d5XT9qq4hHPPx5yb1xI1/ZquvfWTcl8M5n0NaVkXzt/yuYT/SEaHh9dwcLR0JeJbajgfLVJRTgoEvLOfje3yAN+NVlXVw7feIykrixGppAjDmO1TV83uS5mHW+eQQxM/e/MPHdZ9P+2UwfpPTF4umpBrkCmmEVWmT4kqP3bLhZ/99Ypnbbyv9bjaeyZsdnpLhYyTZHNULffypGm53H6YrNMmrU5LCt6FyqFHkGQMSfzMg42/CfhWIWpy8lLWQxEaiCeanuN5p7DMZYVQZBRlLaSiqz1CILAnMwrcHg76HL213UZKD6Mmkw8gdgYq5RzYqbDcYYsU2WcRamvXx/2pJgBJkDMDIokYas5gq1m8Mw+qcsvJ3XZOpTmVMSAH19HC+1vPIO/u/9h0Tx/GelrrkGVkk7Q0UvvkT1073sLJHFEbUyVSzDNvwQpEMBYuZjOt15GptaQvno9rppTNL/wyKRdgosRT28rKcWLR9fp3INay/cfw3PsvAdxsf/3LAaGKCYXvZ+ct304TDpeQRVbWK3n6e3kLyyl9M9fRnT78FW3YH18a+yShlrHedT8cTupK4umLC3wgm/ewIHPPIG74eINQtUXpzH/GzdM6ZxNzx7Gb528zZqQL8STtw5dmG/NV1ZTt6WBhm2Nk7aOqaRt04lJFTNyrRLL0nx69g9eBE+QCaRfWjJpa4CIS910oDT2x5J4WofeANHlFk/yaiYP684abEeasSyZumQAgkLGou/dyuGvPIOzauamae/jr6sv3OegYNjHO3X/wh+Kvz/bvW2cbn+Dxfm3AZBmKEUmyBGl2A0OuUxFedaV0dcnWzfR3Hs4bjxJEqm37kWSJObmXAPAvNxrsVbVIJ17ZrV7+zdHjZoMOhyno691qhRU5ywuzb2HyTJVopCr0avTcfv7LYwmTb+FPmmZiTB56VmGQVdQRtbVt9Dx5ovU/PlHND79F9yN1QSd9mgbQ8lccq67B+vuN6j5y0/o2PI8aSuvIv3S9aNqYyybj6uhCuuu18m88iaUBjON//4DprmL0WTG+icmGR9jSc8sBUME2ntQF2UjBUOxPyMMpAx29iL6AqiL+//IBbkMVX4GgaYuAERfAJmmf3dRmZmCoIj1e1VmWlCkmaj/zK+p+9Qvafv5fxDdY0/D7aq10v765Kea7UOhV7P4+7ehNE1+0c6ZiNKsZfH3b0Ohm7pd5JDLP6lWmZEgyARyVw3tIjHb6N3fOKkCESBt9dBCxbwwF6VZO2nzuxt6cJxuH77hJCCF+zdlFDrD4A0FgYxV10zBiiaPqofeRBKnNq5AadRwyc/vxrwwfmc9ydTR0L0voZDpo8N+Oio0ZIIcnTo+YUSuZSEKeeQ71e23JhQyA2nseQdvMPIsq1WayTLNjZ7z+LsJiwEADJpYr5E+FzN/yE23qy4qqiy62M9Qn2UmLAZx+8fm2n+hMXmWmWGQqdQgQcjlIGDrBls33pb6mDbp666l5+AO7CcjKTQDvV1oDu8mZelarLvfGHEbKRTCfnw/SpOFzCtvpvfwbnydLQQdNpTmVHydSVPwROEZY62Znv+8RcaHb8Df1InvdCMygxbd4lKcbx1F9AeG7S+FRXqf20H6/dcQ7LIT7nWScvtlSIEQzp2RTGO+s82Yr1mG50gNCJDx4RvixJLoDyJTKyn7+4OR174AnsM1tD/0DKJv+HUkoubPO8i4fM6UPWBrcy0s+s6tHP7y08O60FxIyBRyFn3nFrQ5U5sCvv6xvYSc4687pdQpue7X1xAOhNn8pa1Rd7H3brkXtVEFAmz+4hYat8fWz7j5TzeQWpGKUqfgmp9cHT1++K9HOfBwf0ICc5GZFZ+6hJwV2Si1SjxWDyeePMXxf/YHwcvVcq767uUUXlGAGBRp3t3Crh/tJeDq/+yXXVfCkg8vxpRvxN3h5vSzZzn+zxPRh8U7n7yNY4+eIHdlNkVXFQ46znD0pSsuum/V6C7kKEhbXcLZ324b9Hz6usnNhDddgf8A3o5mjCURV0zL/JVYD76NGIj9HMuUKnLX342hsCLRELMGV62V1peOknfr1Na6U+hULP3JXRz75vP0HLgwLKYzBYVejbEyi96DQ1/XdvvpIc+LUhhfyIlWGfneUMrjNy/SDP2bHsONB5F7V4f9NMXpqwFIN5TSbo/cZyUkHN4OUvQFMe5i0C9mnN52JEnE6evErM3Bos2jpfdotF1f8L/D1x6XQOBiZdrEjKv2FLZjeyl+33/ha2uk99g+7Cf2I4X6fYc1GTno8opJv3RDXP++VNDDtQEI+yJBWWIwshPVF7sjhUMIimm7BBckAXcv4YAXuWp0u5mOt44gqJVkfOA6lFkWRKcX7+lGHNtGXoCw++ntCCol+f/zPmQ6Nd5TjbR891GkYOQz1fXIZrI+fRtFv/w0otdPzzPbkZv6i7vKtGoKvvshOv7wIu79VUiiiNysJ/er78Fyw2p6nt0+qvfUR6DbTe1fd1HxmavG1H8sWBbnsfDbN3P8Oy9fFKmCZWoFi751M5ZFU2tpdTd0jyuDWV8SGqU+ImQCjgBbHtxGONAvQh/b8DgKrYIPvH1/wjE2fW4zcpWc977xHt78xts07YgEtoaD/UJdl6Hj5j/fQM/ZHrZ8dRvuTg8pZRZ8ttiH1wXvnsfRR4/zwgdfwZCt48rvXMHSjyxm36/2A5C/Jpd1X1/Dzv/bQ9cJK5ZiE5d9cy0yhcCRv/Vnq1z71dUc++eJQccZKW2bJlfM6PItaHPMeNvsCc9nTKKYkURpSgqEDkbv8b1krFiPoFCgMqdR8YH/pvfUOwQdvQhyOZq0HEzli5FrdHja6pFCQfQFU1d8dqKp+csuMtbNQZU2dUlBAORqBYt/cDtVv95K68vHh++QZEhMc7PJu2UxmesrsR9tGVLMiFIIzwgsF6LY/x15fpYyiMTW9HF+3M1gOAa0Oz9DmcPXRoq+AK3KglymJCwGY9o5fBFrrcPbhlmbg3lAf5kgR69Oi55PEmH6nuQlibbXn8a6ZwuWhavIXHcd6avXU//Phwi5nSAIyJQqOre/iv1YvAuHJIZH1gbi09aJyRzwk8nhx/9fXOiKNIJrbn99P/bXEz/s1HzkJ3HHqt/3f7EHRBHrP9/A+s83Eo4R6nHQ8t1HY47ZXunPOKYpy0VQyKOWHICQ1U6w1YrcqB35OhLQ8txhcq6bj7F85MkIxkv6mlKW/vhOjn79+Qs6ZbNCr2bxD26bciEDUPWrrUhDBOUPR8gXQqlXcv1DG3F3uNn2P9sTBvlL4cF330LeUPR8OBAm6IkXr3PvrABJ4o0vb42edzQ54tp1nbRy8A+HAbDV2ajZVEvm4ozo+aUPLOHkv09Ts6k2OsbpZ6qYd1dljJixnu4ecpyR4mnuxX68dVJddVJXFNHy4tG44/qiNLS5lkmbt3tvHYEe9/ANJ4mgs5emTY9RcP17ERQKFAYTGSvjNwVdjVU0vfR3Uhevm9ViJuT0cfqXW6Y8GQBEatDM/dJGUi4p5PTP3yDsGZuV/2JFrlWSfc08cm9eNKrv0EDIMyGWC5Wif9NzKJe1gfiD/e0G9of+jGYCAgZ1BnZvKwqZGoMm49z5iBCye1spYBkGdUZU9BjU6QiC7Nz56XFRnYlMu1ki6LDRtet1ut/ZRtlH/xvzghV073sTJAlfZyua9GysTlviziNpk2TKkSSR2Wj5DLT3INNp0K+oxHPoLIJKiX5FJfpVc2n9wb/GNbYkSpz+6WZW/PbeSa0kfj6WRXks++U9HP7qMwR6p6cS92SiStGx9Md3Yigb/YPyeGnffIrew83DNxwCMSSy8afrMWTrefnjm4bMVjYe0ipT6TppTSh0BtJ1IjaNbcAZQGXod49MnZNC1uJMlnwwPvWsTCGLrn+4cUZD22snJlfMrEwsZtLXjix181gZSY2bycZx9ijV1p+StuwKDIXlKA0pSEiEvW68nU3YzxzCfuYwAJ62wRMlzBasO2vo2HKarA1zh288CWStr8RYkcWJ776M82zn8B0uYmQKOakri8jaMJf0taXINcrhO51Hn8VjPAiCgEzof1Qe6Zh9cTEACllstlN7TEaziJix6PIQzu0C272R0Ae7py26BrM2lx53A0ZtMvg/EdMmZkyVi5GptfjamxEDPjTZ+cg1OgK9XdE2XTs2UXDnh8iwduCoOgqCgCYjBwQZ9hP7R9wmSZKRELLaaf/V06TftwHVl+5BDIQItFhp//UzeI6PP92x82wndY/uofRDa4dvPIEYyjJY8fB9nPrhpnE/fM8kLEvymf+169FkTk7l8qHwd7uo+s22cY9jKTZzcl8b5mIzqz63gj0/Gzw97vgQBiaAHJSh0joLMgGFRsGB3x/i7IvxRdwGCrGJTA/d8WYV5Z+5etJqvaQsyUcQhDgLftokZjELOnx076odvuEwBGxWjv/ii+Maw9/bSeuWp4Zt526uHvFcLZufpGXzk+Na12RR9es3MS/Km5b7BkRcG1f87l5aXjxG3d93EXSMP97uQkGQCViWFpC1vpLMK8pRGOJLHkw1kiQRFoPIZREx1ffvcMhl/Zs3ITHWM8Lj7yEkBlDIVOjVkVIWfa5svqADX9AJRJINhEQ/CpkaszYnImbOxdmExEAy+H8A0yZmpHCY1OWXo7KkIcjkBOw9dL79Cs6z/S4+zuoTND79VzLWbiR9zTVIYhh/Tyfde7aMqk2SJCPFuesEzl2TF5Tb8M99pK8pxTQ3e9LmSIQm08jSn91N4xP7qf3brnG5Rk03gkJG6YfWUvieFVOW8vp8Tv/0jQkJ+vd2e9nzs31Uv1LDTX+8Hlu9ndNPnxn1OJIogQQyeeLr0VvTS8Utc5Cr5YT9Y0sKIYkSPWd7SSm14O6cOitf2BOg6+2zZG+cNynjK4waDBWZOM90xBwzL5g8a1DHG6cuquQcM4mg08eJ773Csl/cgyCfnoSuglxG/u1LyN5QSd0je2l+/vCsviePB7lOReqyQtJWl5C+thRVim74TlNMIORGq7IAoFYMkflvABplf7tAKNadVELC6W0nRV8YFTN9FhebpyWmnd3TRpqhOFrQ06Duc0VLupgNZNrEjLP6BM7q4R8aXTUncdUMbY4fqo3jzBEcZyJB5GGvm5M/6t9Zqv7TD0ex4iRJxo8kSpz4/qus/MP9U5o+GCKm6qJ7V5K6oojTP908K90cDGUZzPvKRowVWcM3niRaXzo24YVJrae6eetbO7j6e1fgaHLQui/WfUB2zjVxsIcvMSTiaHYw58Yyes72IkkQ8gbxWL0AnH76DPPurmTDD6/iyN+O4e31Ysw1otAqRlWX5uAfD3PNT67GVmenfmsDyARSyywIchnVr0xeFfu2TScmTcxAxDozUMykrSxCkE2eUJ4JLmYXM/bjrdT9fTelH1k3retQGDWUf/pK8u9YQtPTh2h77eRFEU+jL0ojbXUxaatLsCzKm1LX67Fg87ZGxYxJm0OHY/gNJ5O2f8MyUWFLhy8iZgzngvn7MpTZPLHeE3Zv6zkxExkvGfyfmGmPmUmS5GLD22Lj1I9eY9G3b5mW+Y3lmaz8/f10bDtD3d924Wm2Tcs6RoM210Lph9aQtX5uXHKJqcRV0zUh7mWJqN/awME/HmbDD6/ixQ+/gq3ezvJPXsKi+xcgV0cy7Fzzk6sRQyK2OhvP3vdiTP+3v72TNV9dzR2P34rf7mf/7w5y9qWIwHC1u3npo5tY8allXPfra5Cr5Li7PBx7dHTZlRrfbmLzl7ay9MOLWfKhRYghEXuDgyN/PzZ853HQe7gJX7sDTbZpUsa3LMmn8d8Hoq+Hqz8zHlw1XbNyI+FCo/5f+zDNyyZ97eSm3x4J2lwLFZ+9mrKPrKPt9ZM0P3MYT3PvdC9rQhAEAX1pOuaFuVgW5WFemDttLn5jxeqsJsccSWOeZZrL2Y5tQ7YXBIFMU3/B325X/OZXX/C+RmlGKdegU6UA8WKmz1LTV1BTo4zcA5NiJhZBikv1NUjDaXLnuFDQ5llY8+iHJn2ekNvP27f8btLnSTJ+5nzyCgrvWT6ta5DCIm2bTtDwr3cGTU87nWiyTRTdu5LcGxZO++5dyBNg/yf+OSvE34VIyQfWUPKBSydl7KDDx/Y7Ho4kLhHgsqc+PmnuLmd/u42mp8eezjvJxCHXKln+0HswlKZP91JikcBR1YF1Zw3WXTW4aq3D95khqNMMGMrSMVZkYVmUh2lBzqR5IfS808DhB5+JOZZmKGFF8b0AuP3d7Dj7h2HHuaz841GLx/76x+PEh0yQc0Xlp6MuZidbN9HUc3DQ8YrSVjE3J1Jo1h9y8/aZ30QLYPahV6dxWfnHATjW/AKL8m8lLIbYcuqn0SKeACqFnqvn/hcAx1teZmHeTQBsr3oYT+DCELzDMRKZkrTMJEkyTdT8cQeG0nRSlxdN2xoEuYzcmxaRe+MibEebadt0gs63zhL2jT8LzFiRqxVkXFFOzvULSFlaMK2WmCgSnPrRa0khM420vXaCkvdfOimfB6VJgy4/BU9TL4ayjEkTMlJIpP2N4YvuJZkawt4gR7/+HCt+fx8qywyK1RDAVJmFqTKL0g+vxdtmp3tPHfYTrTirOvC02KY9Y6jSrEWba8ZQko6hNB19aQaG0nSUJs30LmwSEKUwp1pfZ2nhnQDMy7kWAYGmnoMxqZ8FQaAwdQWV2f0pzs+0b4kTMhARWn1JADJNkaK0Dm9bjJCBSLyNN2BDq7KQaYykRg+FfReNkBkpSTEzwQgKGQqdCoVejcKgRqFXIder0eVZpmR+mUJO9jVzCbkDhNx+Qu4AYU+AkMtPyBOIq3ifZPqQwiLH//dllv/m3eiL0qZ3MULE1cayJJ+Kz62na0c1vQcb6T3cjK8jvh7JRKPOMJCytICUSwrIuKJ8yuOJhqPmLzvp2h6fwWumkWEqZ1nxu2m3neRI4zPDdziHXp3GZZWfjDnW6ajiUP2/J3qJY8bX7qD3SDMpS/MnZXzTvBw8Tb2kLiuclPEBrHtqCdq90dcKQUWBZj456jK0cgMyFARELx7RTmeggVbfWYJS4hpRapmOYu1i0pUF6ORGBGQEJC+usI0Ofx1Nvti4HJkg59q0B2j313LYuRmTIp05uuVYFNkoBCU+0UWbv4aznviabXnqCvI18zAqUhGQ4Qk7aAtU0+A9RlgaPHPdaPqZFRmssdxJrfcwNZ6DzNEtJ0tVgkZuICwF6Q22Ue05gCM0sVYKX6eTI197jmU/uxv5DLvv9KHNMZN/x1Ly71gKRDwwnFWdOKs68Lba8XU68XU68He6xl1TTKZSoDRpIj9mLUqzFk2mEU22CU2WCW2OGU22aUypkmczHY7T1HbtojRjLYIgY17udZRmXobN00Qw5EWp0JKiK0Cl6C/K2tC9jzbb4K68fUkAMs6JlPNdzProi9lJN0ZcIvuKaibpJylmBiBTyJEbzgkRfUSIDBQlCr0auX7AeYMKhW7AOYN60tKHjvg9qBXM//oNg54P+0OEzwmbqNg592/I4yfkOid+3P7o+ZDbf04QRdqEvdO3ay9Taaj4+P9Dro7s/tQ9/hCelokNxp5KQm4/R772HCt+d++M2RmUa5Vkb5wXDbj2dTjoPdyM43Q73hYb3hYbvg5HJIPWKBEEAXWWEV2eBW2uBWNlFilL8ye1OOF4ibjhTVbK5JmBL+jkWNPzKOU6zLocciwLp3tJCWnbdGLyxExFJu2vn4xYAyeJtlf7k94oBBVrLHegl1sISj6coV4EQCs3kqbMJ0WZS5u/OuEOfKoyl0tM16EUVISlEI6QFQkRndxEujIfT3jwDQi1TEeqMoflphsJSX6c4W6UghqDIhWVLHZXXUBgiXED2eoywlIIV7gHCQmjPJUK3SqyVSXss79ISApOSD8AsyKdVeZbMCnScYa6sQXbMSpSyVQVk6bMZ4/9WZyhntFd+GFwnungyDeeZ+mP7kCmmvmPRQq9mpRLIps/5xP2BAjYPIj+MOFACNEf+Qn7I+JRppQhKOTIlJEfQSFDppQj16lQmrXT/gwzkznbsQ1/0El59tUoZCrUCj1ZpviaRWExSHXn29Rb9yYYpR+7t40UfSEyIRITOZiYsXtayDHPj7ZLFsuM54L51MrUin4BolOhMKiRDxQkfeLjPKEij4oS1ay4iY0XuVqBXK1AlaYfvvEgSKIUEUCeQL/Y6bMEnbMChQeIpVhB1C+kxpKKUgz4OP3Q11GaUqj42P+M+T3MJHztDo48+CyX/PxuFPrpz6t/PposEznXzSfnuvnRY1JIxNfhwNflIuwNEPYFEX0hwv4goj+ETKVArlEi00T+lWuVqNMMaHJMyBTyaXw3o6NnfwNnfn7hp3kPiwFaeyNB/OnGshkrZrreqiL8uasnZQfdMCcTBDAvyJnwsQECvR6699VHX+eqy9HLLXQFGjnoeA2J/vuhXm7GIE8lIMan/1bL9FxiuhaloKLBe5wqz94YK4dJkUZQGjwjll5uZrFxA6fdu2jynYoeV8k0yIXY3fYS7RKy1WVYg80cdW6JrkcpaLjEtJFUZS6V+jWccL09If0A0pT5BEQvu23PRK0wckHJMtN1pCnzKNUu44jzjUHf31ixHWnm+LdfZtG3b5n2+LzxINep0M5QC9OFQGPPAdodpylIWUq6cQ46dQpKmYZg2Isn0IvVWUNz72H856VjTsT5FhabtyVhO7u3NbZfMvg/jlnx9K5K01N878pz4mSgKOkXJ7P55jPbEGQCCqMGhXF8vrGiPxQVNmF3IMYSFHIHqHtkz+C1PEaWt2LW4DzbyZGvPcfSn9w1K3bGBIUMbZ4F7RS5T04HtmMtHPufF5L1QGYQYX+IzrfOknPDggkf21CaTs6188d9XxuM9s2nYtx8VTItAL2h9hghA+AO23GHEyfkKNYuQimosQaaOOXeGXfeERq6kJ5KpqXZdzpGyADnBEf//VYuKCjRLUWUwhx1bo0RVkHJx0nXTi5LuYc8TSWn3buigmqs/QZyxr0nxp0sLAU5636HNEseqcrJEZsA1t21HPvWiyz835uRKWfPpkuSfrpddbx2/Aej6jOSJAEDCYTc1HTtpKYr/u9vNLTZTtBmG75Eic3TMur3dLEx85+aAFWKjvw7L5nuZSSZYGRqBSq1YtBg26anD05IYcLZgv14K8e++TyLv3/bRWElnMk4z3Zy9OvPR10zZhvSdEcHTyJtm05MiphRGNTMe/C6CR+3j7ZNsQ8ttlCkrk2JdgmesJ0Of92Ifm8ZqkhMT6Nv7LVqms8TMomwKLJQCmp6g+0ERG/ceVe4B1EKIxPkmBTp9Abbx9WvDwmJ9kBtXD93OBLw3CcCJwvr7lqOfuN5Fn/3VmSzYGMpSZIks0TMJEkyWsxzl5Fx6TWoUtIJOnrpPbqH7v1vRTOFqFIyyFx7Lbr8MhQ6A0GXg96ju7Hu7Xcpkqu1zP3s96n6w3fIXHc9porFgED3wbfp3PEqAHM++FWs+99EX1iOac4ipHAIV/1p2t54mrB/9EKs50AjR/77ORZ//zbk2osrwHKm4DjVzuH/fjZhIG1fgP2xpuexe1qpyFlPqr4IQZDj9HVQ17mbzgQF1foC7Kvat1LXuYv81GUUpi9Hp0pDlEK4fJ2cbHkVl68rpp9WZaE0cx3pxlJUCgOhsI8eVwM1ndvj2g5ElEIYNBlUZK8nRV8wYH276HRUjf8inUMhV1OSsYYs8zy0KguiGMTmaaGuazc9rvpoO0GQce2ir3Oq5TVCoo/KnI2IUojTra/T6ahiYf7NZJnn4vZ3c6zphSHfm+1YC55mG7p8y4S9j8nGcaYDd32sxcQaaKLJd5ICzXyWGjfi07to8VXR5DuFT3QNOpZebomMOY5AePcQMTV9GBSRuhcpymyuT//4kG2VQr977Fj79eEXPQmtNWEiFlJhCtIb9uxv4PBXn2HR925FOUmWuiQzl9x715G2fgHHPvrHcbWZDoyChRXy9dilbg6G35ru5UwZSTGT5ILDUDyX3GvvoXXzf/C2N6FOzSD3uncjyOR07Y34WosBH0GnneaXHyPkcqDLLyH3unfj62zFVRe7a1lw6wewnTyAdd9W5DojiLFuRzkb7qJ7/zZq//lLlMYU8m+6n/RLN9LxVmxRw5HSe7iJw199hiU/vH1GxtBcyPQebuboN54bNslFpqmSubnXEQx76XbVo5CrSdUXc0nxPZxofpnmnsR1RNQKI3Nzr6UgbTm97kZcPit6dSoWXQGB83ysLbo8lpfch0Kuxu5ppdfdjEZpJMs8j0xzJYcbnqLLcTbhPFqlhdVzPkQw5D5vfe8acn2jQa00sLL0fejVaXgCPXQ5zqJS6EgzlJBuLONkyys0dcfWYsgwzcGgycDuaSHdOIdFBbfR3HOQFH0Bve4m0o1lLCm8k51VQ7t9tL92Ytqrt4+GgYH/Aznh2k6bv5pS3TLSlfmU6ZZRqltKi6+KM+49cZnM5IIi+jAfGiIuZjhG0lchROIufKIb5zCuawNdycbar49wgqQA04HtWAsHPvMES354B9oc83QvJ0mSURFmdnoVjJWkmElywZGx9lp6Du3AfiryIBXo7aL3yG5Slq6NipmQ20nH2y9F+wRsVtKWXYE2Ky9OzLgaz9JzaEfkRU985W5fRxOdOzcB4O/uwHbqILq88VUQt59o5eB//Zsl/3cH6gzDuMZKMjK6dlRz4nuvIgaG/xLIMs+lvmsPVW1boq5BqYZiVpTcz9zca+l0nCEQ8sT1y7bMIxT2s+PMw3gDtuhxtdIY014uU7Ck6C4UcjWHG56mw97/mTTr8lhZej+LC+9g55nf4wvG77KnGoposO7jTOvmUa1vNCzIvxm9Oo3azp1Ut2+LzmPS5rCq7APMy70eq7MO74B6COnGMnZW/R6Xz8rc3GspSl9FjmUh2888TCjsY0Xp/aQZSlArDPhDg1sn2l4/ScmH186KYs5iMEzHm/HWuj56gm302F9GJzdRoJlHgWY++Zq5WJRZ7LI9HVOjYuD/FYJyXIJmOPpEhS3YwWHn5knvNxPxNPWy/9OPs/i7t2JekDvdy0mSZFicko03QyNPy3+hkIyaT3LBoUnPIX31BhZ8+efRn4w116I0WhBkkaBOmVJNxpprKX3vF6j81HeY+5nvoc7IQVDEZ4HxtjYMOZ+3vSnmtejzIFeN3zXBVWtl/6cfx1U9uMtNkomh8d8HOPatF0ckZCBStKyqfWtMjEOPq54Ox2nkMiVZ5nkJ+6kVBk62vBIjZAD8QWfM62zzAjRKE+32UzFCBiJpOuu79qKQqShMXznI+vwxQmuk6xspBk06GcY5ePw9VHdsi5nH4W2jpfcwgiAjL3VJTD9vwIbLF3GP6nVH/q6szlpC4cgOvdMbiSNRK41Dzu/vctF7oHFc72Gq6NpRPaLYP0/YwRn3Xt7ufQJ32IZBnkK2qjSmjYSE51xiAIMidVLW24crbAPAOMp5xtpvphK0eTn0hadofu7IdC8lyVQxkgRDF1gSotlO0jKT5MJCEJApVXTueBXbifjib9I5F7G8G+9FnZZN62tP4utoRgwFKXv/lxIOKYaGdnsQA+MrUjYUfquLA//1JPO/dgMZl5VN2jwXK2IoTNWvttL68uCFzRLh8LbHVWqGiGDINs/DrMulqftA3PlQ2E+Pa2hxDBHLCoDVWZPwfJezmrKsy0kzJLYAOnztCatOD7e+kZJ6bt4edwNSgi/1vpgXkzY75vhAa0swHPm78QX7s3aFxcjfmkw2/FdT26YTpK4oGuXKp57zA/+HIyB66QjUU6pdilYeL+q6Ak0Uac0UaOZhDTQlGGFi6A22EZT86OUWLMosbMGOSe03kxFDYap+vRX7iVbmfumai65g5GxFk5dK7v2XYVxUiNKsI9DtpGvTYdqe3N3fSIC8+y8n46ZlyLVKbPtq8LecV8doJG2STCtJMZPkwkKS8HW1ok7PJui0DdrMUDKPjrdfihbcFOQKlOa0KVrk6Ah7gxz71gsUvWclpR9ZhyCb+a41swFfu4Nj334J55nRP2wFwvFZmgAC5x7WVfLEdZy8wcTpds+nzzLhCyQO1O5zLdMoTQnPB0NjW99I6Zs3P/US8lMHzzSplMdaKEVxoOVLGvTYSD7hXTtqCLn8KAwzN67Mb3XRuz+xBSlPXYFHdMRl89LI9GSpigESFoes9x0lX1NJlqqEct1KajwHEAekdlbLdOjlFnqCrXF9R0NYClHjOchc/RqWGDZw0PlaXAxMqjIHlUxHu79m3P1mAx1bTuM808H8r1+PaW728B2STCthj5+A1Untj54n0OPCuKCA4s/fiKemE/v+yGcv/ZrF5LxrDfW/eQ3XqWbMy0rI//DVBDr779UjaXM+aUIOy+RX0Ck1cyQcn8K5WDaPctliasRj1IqxmQm1goEioZI0IQu1oEVCwi95sUvdtEkN9Eix31lK1FyluD3mmE2y8k548Bppfes7Ie6jV+pijmwRqUIWSpT4JC+dUjM14vGEsTdGwUKpbAEpQgZKEt9/3wo9T4Cpy0abFDNJZiWCTHbu3/haAJ07N1Fw+4fI6O7AcfYoAgLq9BwEmQzbyf0ABG3dGIoqcVQdQa7SkLHu+uiYMxIJGh5/B8epduZ/43rUack4mvFg3VXDyR+9PubU34NnVOo7ntgFQUpgLRlmotEcHsWA43OR6Hv/Dm87Ll98HFkfngHxMpFZJ841QwyE6HjzDHm3LJ6wMSea9tdPJrRcAeSo55CuKiAoBfCGnQQlL0pBjVGRhoCMrkATnYH6uH7esJPDzi0sNV5DmW4ZhdqFOM9lNtPI9OjkZroCjeMWMwD13qPo5WYKNPNZZ7kbZ6gbv+RFLWjRyI0oBRWt/rNxomSs/WYDnuZeDnz2SYrvX0Xx+1YjyGfw98ZFTrDXTfNf34y+9rf2knX7CvRzsqJiJvPmZXS/dRLr6xE3Ql9TN6ZlJWhyU6L9RtJmotALJlbJNyJHjkPqwSH1okSFXjCRK5QQFANxYiZMkOPhPSgFNXpM5MtG7sWRLuRQIVuChESv1IkcBSlCBkVCJUbBwoHwtpj2JiGFlfINADSLNfjwYBHSyRTyAagWj+GUegkyefF8iUiKmSSzipwNd5Ky6FIEReSjW/zuTyGJYTwt9dQ/+VsAnDUnaHr2r2Ss2UjG6muQxDD+nk6s+/p3KVo2PUHuxrup+Og3CXlcdL/zJiH38OlKp5vew03s+/CjVHx+PVlXV073cmYdIU+As7/dNmh2qZGiUiS2bKgVEYvK+ZnJRosvENnxG8zyoj53PFHw/5Ss79y8dk8LJ1teHddY46Ht1RMzWsy0bRq8Fkyd9yghKYhJkY5ebkYmpBKWgtiCnbT5q+OKWg6kK9DATtt/KNYuIk1ZgFmRCUBAiriojaSOzEg54dpOR6CeQs18LIosDLIUgqIfb9hOU7CFVl/iVN9j7TcbkMIidY/soWtnDZVf2IB5/uQV8kwydmRaFdl3rMJy6RzUmWaQCcj1Gmz7+kW0Ji+V7jdjvw+8DdYYoTKSNhNFvlCGAgWnxQM0idUx54yChYAU79YuItImNYAUaZPPyMVMllBAl9TC0fBuxHPpz7WCnkvl15EqZGEW0rBL/ZbVMtlCZMg5Et5Jp9QMQANnmCdbQb6sjBABrFLbWN76uEiKmSSzirYtz9C2ZfhMHc7akzhrB3+Q8LY3UvPoz4ccI+z3cuKnXxyyTfXffxx3rHPXa3Tuem3YNY6VoNPHie++gnVnDRWfuRqlZXKLyF0o9LzTwOmfbcbX6Ry+8TCYtNnIZcpojEcffbEudu/4bubdrjryUpeSYZxDS8/huPMZxjkAMbVcpnp9AGmGEgRBljB+aCpwnG7H3dCNvmjmuYjaj7fiae4d9Hx3sJnuYPOYx/eEHZx0jbwCuSiF2WQdXaXzPqyBpjHF54ymnz3UNeT6xrP+ycJV08WBzz5B7k2LKPvoZcmaNFOI82wnLS8dHbJN6ZduRluYTt2vXsFzth0xEGLBbz487NhSaHgL+kjajIeBrqN9OCXbhM8jIXEyvD8qZAC8kpt2sZF8WRkmITVGzJiFdCQkuqRYy69VaiWfMoxMvMAbCUn7aJIks5SOrWfY84G/0/rysfF6DV3Q+DqdHP/2Sxx+8JkJETIAcpmSubkbEYT+W2iaoYRMUyVhMRiXgWy0tNtP4fb3kGWeS7Zlfsw5sy6XoozVhMUgjd37p2V9Ll8XnY4qdOpU5uVeh/y8gH2ZICfTVIFCPvkPd0NZP6aTttfGZ/1LMkuQoPWlY+x5799o/PcBxODkPuRezIihMB1bz3Dgs0/yzsf/Sdf26iHbm1eW0fnSQVwnmhEDIQSlHHW2JaaNr7UXXUlmzDFtYfqo20wU7VIjEhJzZcuZJ1uOQbAM22c8OKXehLEtPiKp+xXEJruIuBhLnP/Q0Se+5ML02EiSlpkkSWYxQaeP0z97g9ZXT1D+qSuT7g4DCHuDNP7nAI2Pv0PYP7EFxHrcDeRYFpJmKMPhbUchV5KqL0EQBE63vD7uGi6SJHKk4SlWlN7PksI7KU6/FE+gB7XCQIq+CJA42vRcXIrnPjrsp0a1vmzzPBRyLUq5GqM2CwC9Op3SzMsIhf2ERB92Twtuf39A+vGmF1lReh8FacvJMs/F4W0nJAbQKI0Y1Bko5GrePv2baNrlyaJ98ynKHlg3o2IXwv4QnW/OXjeqJKMn6PRR/fu3aX7mECUfXEP2xnkz6jM5m/F1Oml96RitLx8j0Dvye6u/zYZpWQk9O08j16rJe9/lCIrY30nXKwcp+tR1OI834TrVgnFhAaalxQR7XaNqM1HYpW4Oh7dTKbuEfNkc8pmDU+qlSaqmTaxPaLEZD34SJ4uRBknG4pB6SBWySBEyY2J30oSs6PnpIClmkiS5AHCcbOPAZ54g47I5lD2wDl3hhVHjYSyIgRAtLxyl/l/7CNoS36jHiy9g51TLJsqzrybNUIQgKHB4W6nt3EmnY2IeYp2+Tnad/TOlmevINJVj0mYTDHvpcJymrnMnDm/7oH0buw9Q3fH2iNe3uPDOuAKUenUq5dlXRV9XtW+lrnNX9HUw7GVv9d8pSFtGtmUhFn0BMkGOP+ii19NEp/1MXP2cySDQ46Z7Xz3pa0qHbzxFdL19lpBnagNgk8wMfJ1OTv34deof3Uvhu5eTc/0CZKrko9ZoCTp9dL11lvY3TmE71jIm74O6n79E8WevZ8nfPkXQ5qb96b0Ee2IFSNdrR1FnWSh4YD0ytYLeXVU0/n4zOe9eM6o2o0U2RBoXq9RGd7iddCGXPFkJ6UIu84WVFAmVHBK345UmTkSNNilLrXiCFHkmi+VraRSr8OPBRBp5slI8kosWsXbC1jYaBGmwVCvnN5zGSsuGORms+uN7p23+JNPDrvv+gq995gflzzQEmUDmVRUUvWclhjkZ072cKSPk8tPy0jGanz6Ev3vid8wAMkzlLCt+N+22kxxpnPoqy3KFhpXXfh2FMuK+dXTH73B010/5OoaioGIDmQXLOLDlJ1M2Z8YV5Sz635unbL7hOPSlp+g9NHk1YJLMHlSpevJuWUzuzQuTWSiHQfSHsO6upX3LaXr21iNOclzKZJImZLNMfuWgqZnnypZRICtPmJr5fDToqJAvJUsooEfqiMswNhCjYOFS+XUjTs08ltTRWUIBi+VrkRABAT9erGIbNeIxAkx83b2RyJTkdkGSJBcYkijRsfUMHVvPkLaqmPw7LyF1ZdG0bkhMJu6GHlpfOkrrK8cJe4cucDrbCYd87Hnl/6HWpbBy49emezkzhu5dtQQdPpSm6Q/A9nU46D2cFDJJIgR63NT9Yzf1j+0lfW0peTcvJmV5YbJe2Dl8nU6699bRvaeO3oONE+4SPF2EiHwXadAlPJ8ijHyj0YeHY+HdpCtysIyi32SgQsNc+bK4DGjTTVLMJElyAdO9r57uffVosk3k3byI7Gvno06f/buDIU+ArrfO0vrKcewnxl9PY9YxTdnDZipiKEzHG6fIv3PwAp5TRdumk8mEHEnikMIiXdur6dpejSpFR+bVlWSvr8R0kcU5SiERx+l2uvfWYd1di6vWOt1LmhTckh0REZOQSqqQFRNfUiKbN2hgf6aQj13qjotlMQmpyFHglcaXVn+8WIR0VGjwSu4h6q1NPUkxkyTJRYCv3UHNn3dS+5ddmBflknV1JRlXlKNKSbxrNBMJOn1Yd9bQtb2anv0NyaxBSWJo3XRi+sWMFCmUmeTCJ+2yjZgXLaf24R+Oum+g10PzM4dofuYQ6jQDaZeWkL6mhJRlhcg1yuEHmEWE3H4cJ9uxHWvBfrwF+6l2xAvE+jIUIUI0ilUUy+ayTH4lvVInIYIYsKAV9LSIdeTJSuL6lcoWYBDMuCUHXtyECaFBh1mIpJ+vFo/F9ckQclEJGhQo0RGpJaYRdJTK5hMkSFgK4qAXl2Qf9/vqkTpwSr0UyioolFVEj4cJ4ZVcNEu1NIlnxz3PaJkVYsZV3cXW9b+Y7mUkSTLrkSQJ29EWbEdbOPPrrRjLs0hbVUzqyiJM87KRKeTTvcQoYiCE/WQ7vQcb6TnQgPNMB5KY3PIeCbmll5Fbug611oLP20vL2bdob9gLgDGlkCVXfIaDW3+Gx9m/W6g353DJVV/g8LZf4bK3AJCRv5SCig1o9Gn4vTY66vfSUrN9QF0ZgcK515BTvAa5Qk1Pxym8runZaZ3I74klNz+IxhTvzrHv8a9OW02dsSKTK8lfdC2phYtRakz43T20V+2g8+zu6V7alCHXaJHCYcTgzEvK4O920fpyJFOXTCHHODeLlCX5WBbnY1qQg0Knmu4ljpiQ04errhtXrRVXTReOM+24a6wjinm4EKkWjxLAR65QgkXIQETEIXVzMryPIAHyiBcz9eIpcmXFGAQLeoyAQBA/XVIrjeIZeqWuuD7z5CtQE1tvToOOMtmi6OsG8QxV0uFxvR85CipkS9ELJnqlLny4kYhkPJOjwCKkM1dYhgIldcPEAU00s0LMTDSazFyQwNd1EbqnJEnShwTOqg6cVR3UP7YXmVKOsSIL84IcjJVZGErT0eWlxKWynAxCngCexh7c9d04TnfgON2Oq7YLKTSzHhy7HGd57ej3pnsZQ5JTspbCuddSe+w5nL1NGFMKKVt8O4JMRlvdbpy9jXicnWQWLKf+5CvRfpkFK3A72qJCJiWzgjlL7qL6yDO4epvQGjMoX3oPgkxOU9VWALIKl5NffjU1R57F0dNASmYFxfNvwO+1TcdbT5KAgiU3kD33iuhrrTmLkpV3EfK56WkauujghULW9XfiPHUU55n4Xe2ZhBgKYz/eiv14K/xzHwigy7NgLM/CMCcDQ1kGunwLmmzztMXciMEwvg4nvg47vnYH3lY7rjor7lrrhNXxulCQkGgQz9DAmYTnN4eejDvWLjXSHm4c1Txvh14Y9dq6pbaE8/dRL56iXoytR1YhW0KerJQj4Z10SvEFf1VouEJxKzlCEXUkxcykk3P9u/F3ttK6afBfZJLJ59ZP5LL+3ixM6Up62gN84+aj+L0T9/D6o9eWsOt5K8//rmXYtiqNjB++upg/fLWGM++M/ob8fy8vZt+mHp59aOwVvQfjtk/lsfa2dB687siEjz0QMRjGfqI1JgZFUMjQFaSgzbWgyTSiyTKhTjegNGtRmjQojRrkWiUypRxBKY8KHykkIoVExFCYsDdIyOUn5PITdPgI9Lrxd7nwdznxdTjxNPfit05O9rGLkcLKa2ip3kZn00EAvK4uNPpUCiqvoa0ushvf2fgOuWWXUX/qVZAkBEFGZv4lUZECUFC5kba6XXQ1H4qM47bSVr+H7OJLo+1yStZgbTlCR+M75+bqxJJZjlY/OQXlkoyetOJlgxxfenGIGUFAV1KB89REv9cpsDZI4Gm24Wm20fFm/wOxoJChzTGjzTGjTjegStNH/rXoUBjUkR+9CoVOjaCUISjkyOQyBLkMSZKQgmHEUBgpGLlHi8EwUjBMyBMg6PARtHsj/zq8hJw+gnYfvk4nvnYH/h5XMibsIiVVyEZCpEtK/EwVxI9IGKUw9dbECRMzhdqFlOovYZv10WHbygUFl6W+m2OOrfQE24ZtX6ZfTq6mnO3dT4x7nXKNFm1WPv7OpFVmOqlcaeSuLxTwuy9U03DSjTFVOaFCZtSc2+QKB5N36YFIIRF3XTfuuu7pXsqQyE16ch+8D3VxNp7jdbT9+HGk8OhiarRzi8j/7kcGPR92eqj98Oj94yd77IEo1XqUagPO3thsWs7eJgorN6LSmAj4HHQ0HaBo/g1Y0udg6zqLJbMChVIbFS4AelM2ptQi8suvjptHkMmRxDAafQadzYdjznkcHUkxM0MQBBlKTeKEHyqdJfZ1WiYZV9+IrmgOMpWakMtB77636dn7VrRNyqorSF15OQqzhaCth57db2I7tCd6vuTjX6Vnz5voissxVi5CCodw15ym/dWnEf2+EbcBMC1YRtpl16BKTSdo78V2aA89e96KSX4x3JqLPvBZ1Fm5yFRq8u75ULRf94436Nr2yijmEki/4lpSlq9DUKlwV58i0BPv7jNVSCERT1MvnqbeaVvDzEVg3vWfRmVI5eRLPyfoS7xRJpMrWH7/j+KOH/jng4jhwWN6xtrvQiBEEAEZZiENmxTrTiwgUCKbjxwFVmn45/qJZlotMxNdyXQk6Isr4QJNUTubKFtioKPBx95XIg/J7fWTWyV8OAJekS9efXha15Bk7BjXLUJTUQCAflkF2gXFeI7WTPOqph6Z7Fzw8Hn3uL6sM2I4ki406HfR23GarMIV2LrOklWwnO72kwQD7mh/uVxFw6nX6GzaHzePJA4Qiuf5w0tSMjHDTEGSRII+J0qNMe5c0Ntfw0thNFH0gc/i62il5am/E3LaUWdkE/L0PwimrLiMjCuvp33T0/ham9DmFZJ1/V0Icjm9+/vrVGRdfxc9e7bR8NdfojCnkHvb/aRfvpHON14ccRt92Vyyb7qH9lf+g6+1CVVaBtk3vxtBJqd75xsjXnPTv/6AoFBS/qXv0vrso7jORlxfpAEPnSOZy7xkBWnrNtD+6tN4m+rQl1aSueFmgvakmJgsdCm5gISnd3QPxgqVBkNmJBZFm5JDsC1xMLokijTsfQaFRo9SYyCzct2Ixh9rv5lI+sabUWdm0/LPP4+ofb14isXytSyXX0231IZXciMhoRa0WIR0NOjw4easOLleJImYFjETlkK81f3PKZtPV1BG2oor0WTloTSlAGBZvBrL4tUx7ay736Bze/9ujTa7gJL3f4FATyfVf47fNRUUCuZ98ccAnPzxFxOec5w5QvPz/0CTlU/GuuvQ5RUjU6oJOm04Th+Oztc3l3XPFqx73iBj7bUYKxajNFoQg348zXV07dyEr2N4l6nZgClVic81+Q89F0LA+EUaOzkuJHH0GyX++jZavvN35EYdcpMemUGLdl4RusVl417PZI4dM4/XTtDvwmgpwNZZFT1uSCnA77URCvan++xofIeKZfeiVOlJzZ7P6Xce6x9IknA5WtGZsvB7B8+A43Nb0ZtzY47pjFkT9n4MaYUYMooiSwqH6Ti7a8LGvliw1h8kZ+6V5x2V6Kzut6hYlq0FJFr+81fEQKTo3fmWh7TLN9K9ayuOYwci57s7UVrSSLvs2hgx42trwvrWJgD81g4cJw6izY8NdB6uTfrl19L7zg4cxw9G12I7uBvL8rVRgTGSNYvBAMI564oUCkXbDWQkc6UsX4fjxCHsh/dG37u+rBJVStICOVkUr30Xnt5W6nf9e1T9QgEfrs46lFoTnp7Bn5ckSaTzTORzK5MrRi5mxtjvQqBDamJ/+E2KZBWYhFTShYjgDBLALTlolM7SItZEa+xMJbMkZmZ8T3OCTE7Y68ZdX4U6PRttbhGBnk48zXUx7bztE1/oTGEwoSsoo+iejxH2efF1tiLXaFGn5yDX6uPaa7MLKHr3J9FmF+DrbMHj6EWTkYNxzgIMxRXUPvpL/F1Tb8LTmeT8fv8KPn/lIe78XD4rr0tFEOC1f7Tz9C/740TW3JzGrZ/MI6tIjbU1wLZ/d7Lpb+2I4cjv8Kt/nUvZUgNaQyRr1iNVEUG56wUrv/9yZCc9UfzJHZ/NZ9X1qXztpqOjWo9KJ+czvypn6VUW/N4wW/7VybMPNccIhIffWY7OpEAQ4OcfP8PhN21x73/j+7K55r1ZZOSp8LpFGk+5eeQ7DbTV9j8cqjQyPvHTMpZtSCEUlDj6to1Hvl2Px9kv2oa7PoIAt38mnw33ZaLRyTm8zUZ7w/RarWYDzh1HMV62CHVRNq69J/GeqB/1GKIvgOdYbcwx84blEyI4JnpsQZDH/NuPRFPVVormXYvf23suAUABeWWXU3ssNki0p+M0YjhA8YKbCAW99HbGBqk2nt7MvFXvx1PZSXfrMQRBQGfKRhBk0Xic9vo9lC6+HUd3LY6eBsxppZjT5xD0T0wgcO6CDaTkLwBADAWSYmYMNB/ZBKJIauESlBojXkc7zUdfx9Z6OtpGk52Ht7Up4cM+gFxnQKE34muLDUz2tTaiuOI6FEYTIafj3LHY79Gw14NMrTmv39Bt1Jk5aPOLSVu3IW4tURfHYdY8UkYylyotMyp2+vB3tSfFzCShUGnRp+bj6R1LOIDEqU2/mfA1JYnQK3XSG+6c7mXEMWliRiEoWW65CVEKc9D+KmEpYtbdkPEhlIIagAP2V+nyN8T1naNfQaF2AXJBSVegAU9ofLmx3Q1VuBsiu5SpK65Am1uEp7luShIAqFIyyLv5ftq3PEfvkT30CTO5Vo9MpY5rry+uIORxUfvIz6NWGJlKTcEdH0JfVEHGmo00v/DIpK97MD7zq3J2v2Dl5T+1YUpTMNDbZNHlZj703RL+9v/qqDvmJrtEw0e+X4pCIfDC7yM3pV9+ugqZIHDnf+Uxb7WJ798XyZYRCo1NsA61HoBr35/Fkz9u4ulfNVN+iYEPfruYrmY/25/p38H75MoDqLUy/nRkZcI55q4yce+DBTz0uWpaznowpSuZf6mZ3o7YNJ8b35fFq39p49v3nCA1R8UnfjqHWz+VxxM/ahzx9bnsjgxu+XgOf//fes4edLHoMjPv+nIB3W0zL6XoTCLs9ND0jT9N9zImnbLFt5NVtAqZLHLrXrTu40hiGEdPA8d2/h6A1todSFKYwsqNqLUW/F4b9SdfjQbp9yGJYTqbD5JXejnN1W/FpRzuaT/Jqb3/oKByAwUV65HEMF5XF81n34y2aW98B7UuleIFNyGXq+huO07tsecpqFg/7vcqCDJMWRNruboYEcNBGg+/TOPhl4doJQxpApYplf3tzu8HSMH+ndiRiIsh2wgCMqWKrm2vYj/6TtzpfhfHodc8IkY8V4It1VHG5CUZOabcizscYM7Xvk/jn35FwNpJxrW3YF5+KdU//CZIEvkf/BS2vTtwnTpKyrqrSVl9OTKtDn9bM12bnsPXGpuEaCRt+tCVlpN774dpe+ox3GdOTMVbnTAmRcwoBBUrLDcSlPwcsr+OOMCHekvX35ALCjZmPJCwb56mklLdJZx0bqc32E66qoAKw2p84uzMdqTQGbAd3Uvvkdic/mGvm7A3cSXXjjdfiHEnEwN+Ore/SklRBbr80kld73Cc3ONg82OR2hRtsRvN3P7pPDY/1sHuF/vjYN58opP192ZFH9YD54L8Q0EJSQSfZ3xfCEOtB+DELgdb/tV33kvlSiPXvDcrRswADOWVpNHJkCSwdQbobPLT2eSn+lD857HumJunfxW5SbRUe9n9opXyS/qDb0dyfTbcn8Wel3t4+6mu6JoXXmYmq0hDkiQ1R5+j5uhzw7Zrq9sdzVw2FHXHX6Lu+EuDnu/pOEVPx6lBzyNJNJzaRMOpTTGHO5sODDv3cBjSCpErk5/7qcDf1YZ58SoEhRIpFO8iErTbCLtdaHILcdf2W/A0eYUEHTbCPm9cnzEjSfg6WiPxLw7bmNccRZQACWQJUsyPcK5AjxVNVqw7pSp94twpR8u8p/8ftV/4Pf7Gqd8hH+nccqWGzIo1pJYsRaVPQaZQEfQ68Tut2JpO0F17gFCg/3NjzCole/6V6FLzUOkj4QAZc1aTMSc2HKD12Bu0HHo1br5l7/k+clXs/eLoM9/H7+oZ61udNnztLajSswhYO1Hn5OFtrEOVlhF5nZGFv70Z87LVmC9ZRcvjfyFkt2Fefil57/s49Q/9kLAn8mw5kjZ9aPKLyH33h+h47olZJ2RggsVMWAqdEzI34RNdHLFvQUoQ5C8N4TZWqF1Am7+aZl/EBO722khX56OTmydyqVNKxCIzQiQJZ1V8CslAd+TGodAnzkwzVdQcHlxUFlTqKF9m5JaP58adkysEwmO0vox1PQCtNbFfso2nPSzfmDqqOY68bePtp7r4f/9ZQN1RN28/1cXOF6wE/bGf7dpjsWtx28PojP1/YiO5PtnFGna/GJslpOWsNylmklx0mHIqhm+UZEKwHdhFyvJ15N39Abp3vEHY40JpSUWmVJ+rzSJh3bGZjKtuIGjviSQAyC0kdfWVdLz+3ISvx/r2JvLv+RABawfO00dBEFBn5CDIZNiP7R/hmiNIYphAjxXzohX4OyKbRmLAT8jlGPlcB3eRdf2deBpr8DY3oCssRV9SER1jMpBpVWQ/cAOtDz0/aXNMFnKlhvk3/RcaUyYhvxuvrT1yXfWpmHIqMGaV0V1/OKaPIFMQ9Luxt1WhNWdjyCjC5+jE2RkbDuCxJg4HaNz/PCqdGYVaT2bFGgT5LImiSIC/rQVVRiacEZBpdLhOHUWdk0/Y7UJQKAn29pDyvvV0v/ka/rbIxnfP9i2krLsafcV8HIcjVsaUy4ZvI4VCqLNyybv/ATpfeQbniakP3p8IJvS3LUlhlpmvQys3sM/2fEIhMxx6hYU2f3XMMVeod1aLmYBt5BWxgy57wirFfVmIECa/gOFQBHyJf6eCDNRaOU//sjnO6gGMW8ho9Inf92Dria5LSPB6lEuRRPjHt+t58Y+tXH5nBnd8Lo+bPpbD9+49id3avyPocw++llFdn/PWFwrOrMKRSZJMBebspJiZKoL2Xhr+8RAZV99Ewb0fQ1AoCTntdO/urzvU+852JDFMxhXXn0vN3EvX1pejQfETiavqBM1P/pW0yzeStu6aiCDp7qR755ZRrbmPthefIOv6Oyn52FcIe910vflK1K1sJHPZDu9FaUklc8OtCEolrjPH6Xjt2YRxNhOFflEJivTZ+dyTVrocjSkTW/Mpqrf9LcZdT2PKQGvJJnReymRHWxWOtkg4QNa8KzBkFOHsrBtxAgBr9b4B8y9DMcvFjK60AmVKGiGHDX97K7riMkIOG772ZgS5HFVqOjl3v5ecu98b01dpiVi1RtIGQFCpyHvvA7hOHsVxJD5z5WxhQn/bekUK3Z4W9IoUKg1rOOXcOXynBJxvuRFneapP0T9yE7yUQMjMBiQRGk+7ySvX0tM+vvfgdYXRmWIDmwsqdGMaK7dMG/O6cJ5+zAH1PW0Bnv9tC5v+2saPXlvCutvSeeUvI0vGMNLr09ngo2Bu7HvNm6MdpPXMQZDLKHvkGwgqJaLXT837v5+wXd7/fCAa9C4FgtS8//tI4XixlvOl92C4dD4AjV/6Lf7Gjug5uVFH6V//e8j11HzwB4juZOKE2YpcqcaQXjjdy7io8He20fzk0ClabQd2YTsweBKGuj/8OO6Y9e3XsL792qjaALiqT+KqHrqK+EjWDOBtqqP+Tz8b9Pywc0kSXW++Qtebr8QcThRnM17kJh35X30X6uIsZGol5X/7MgA9L+6m+5n+ZyrDsjkUfP1e5CYd3rMttP76WULdzugY2Q/cgG5xCVIojP3NI1if2IYUFuPcxMzrl5Jy3QrqH/xztG/Op29FlZuGKtOCoJTjq++g6Xv/ItTjHHZuAKU24kHi6qqLTeMO+Bxd+BzTV6NnNuBva8Gyah2a3Hz8rc3421tIufQKAj3WiJXl3C5ty2N/wlN3XurpPp/5kbQBtAUl2A/swbxiDbb9u6JWnNnGhIoZv+jhlGsnrb4qVqXchivUS5N36JvR+XjCdkyKtJhjBsXo3IKmCpkyPoD/YubZh1r43G/KaanOY//rPcgEgfwKLTKFwM7nRm6dqjro5PI7MziyzUZ3W4Dl16QwZ5mB7pbRi6T5a0xcc38WJ3bZKV9m5NIbU/n7t+rj2skVkT98uTw+6HDldalojXLqT7jxucIUL9RjMCtGLYpGcn22Pt7J+79VxJl3nFQfclK50sT8NeYYC9BMRAqL+Ovb0VQUINOqUWZYCHbZYhsJApry/P6XKiWqomz8tfEZa9Ql2ZFx/UH8zckvvosNU2YZwjRboZMkmQ7CDg8N3/w7KTeuwrh6Lo3fSpzwx7CykvoH/4zoC5D31XeRfs+VtP8+Ev+W96W7CbRYqf7YL5Hr1OR95V2k33MFXU9sG3b+jHuvJmx3U/t/T6DMMFP228/Q/KN/R4XMcHMDuLoiiZ2y51+F32Glp/FossbAKPBbO5AbjKgys/E1NRBy2JHr9KhS0/G3tSCFQgR6rKizc3GfTRzTOJI2AN6GGrpeex7R7yX3PR+m8Q8/j4unmQgWfO5ySu5eEnNs12eepufoxGTnnRQ7nD3UxVHHVpaYrsETdtAdiM2cIEMW8+9AGr0nmW+4jB5NG7ZgB6mqHNJUefhFz2QsdUj6alUICmXC8301a5JEOLill19+sopbP5XHrZ/IJRySaKvz8dIfRpde8fnftmBJV/KpX8xBoRI4tMXGI/9bz00fjY81GY4/frWW1Tem8p6vFuL3ibz8p7YYN6+7v5DP9R/KQaWJfBb/63cVhEMSLdVevnlrxO86FJS49v3ZZBaokSsErC1+/vPzJg6+MbqCaSO5Pm893Ul6gZr3PFiIWiPjwBu9PPa9em75RN6o3/tU46ttjRauVBVlx4kZdWEmMm3sBoC2oiBOzMi0apSZkb8tf31bXHYG0eOj+X//FqnZcu5HVZCB8bLFE/yOkkwXyXiZJEmGpvvZnYTskYdO597TmK+K3P+UGWb0i0to/tGTSIEQoUAI61Nvk/u5O0YkZjQl2fS+EnHZCnbZCXbaUeWmEuzo/74bbO4+7C2n6araTUbFGsqufD8F7l6sNfvpOruHgNs2Ae/+AkcUIwk38gqx74v714whAAEAAElEQVRY40JuJ+rsXByHI65gPW9tJuOG2/F3tuNrrEWm1aErrcB59ABiIDDiNn10v7UZdU4+Oe96P82P/GHorEgzkElzKuzw11Ltfoel5o3s6XkWd9hGuX4VxbrFyIXItJeYr0NCxBXqZWfPfwBo8Z5GJzNSaViDXFDQ6a/jlHMnpfpLJmRdfVlPzs97n4i+SsIKgxmZSh2XTtJYNn9C1jQb8DjCvL9ieN/ow9tsHN5mG7bdv3/axL9JHMjndYX5/Vfiq7fvGGDdGcl6HrwuEsi2//XBs5k89YtmnvpF4jSFfRza2suhrUMLl776NwN59qHmmFo5MPz1kUR46udNPPXz2Guz49mRW7amC39NvyhRF2bh3n865rymMlL8MOxwE3Z5UeWmRyw1m2J/j+qirKiJ3FcTL4SlsIj3RGxQqKaiIClmLhAUaj2WnMrpXsaIUWpNpOQvwJQ1B60pE5XOglyhQhJFQgEPoYAHj60VZ2cd9vaqWZldabKIXrvMMrTmrEGuXduAa9c9qevRGNMxZZVjTC9Cl5KLQqVDrtIiyOWEvC4CPgfOjhq6G4/i7pn4unSjIWjtL1khhcII8ohrtiLNhOgNIHr6n1dC3Q4UFj2C4vy6VCCcF1gaaO1GU5GH/e1jKCwGFKlGAi2x132wuQdSv+cpuusOkbNoA+bcCnIXbyRn0QasNe/QfOAlQv6p36CeTfjbWtCVVRByRSxi/vZWLCvWErBGXK4dR/YjKJVkXHcrSksqoteDt7EuJu5lJG2iSBLtz/yLwo99noyNt9D12uxKPDFhYqbRe5xG7/GYY7WeQ9R6DkVfn3Xv46x73/ldY5CQqHLvo+q8di2+M4P0GB1+azsQqeeiNFoIOm2Dtg257ARs3agsaWRecSPtW56Lmkp1BWWkrbp6QtaUJMmFgK+239dWXRSftlRbGbHa+GvbCNldETFzzpIzEHVxTv+YNbPTf3c86BQW5hhXkarOQyXT4hfdNLlPUOvs/wK6LPN+6lwHSVPnk6ktRZJEunwNnLRvIyT277gVGZZQqF+EVm4iJAVwBq2ctL2FO9TLhpyPcqjnFXr8LWRqSliWdjOHe16l3VuNRZXN8rRb2NIWqd2To62gzLgSncKML+ykyX2CetehaHyjUqZmQ87H2Nb+N8pNl5KljcRFNbiOcNaROJujIMjQGDPQpeSgS8lFZ8lFl5KLSmtK2F6mULH6vp+O6Zruf+p/CAfGlz5YEsMxtXhUeguFS24itWhJQpc4QSZHpTCj0pnRWXJIL14OkkRP8zFaj2/B3Tv+z7Yxo4T5Gz89pr5n3vortpbRuYGPhCU3P4jGlBF9LYZD7P/318d57Zadu3bHaT3+xoRcu4GYsyvImXcl5pwK4mvp9K9ZpbdgSCskZ/7ov/vPvPlnbG2nh2/Yx3BuWWLi86EuOzKtCplOHRU0yjQzIZsbKRRGCocRFP3XXJFqjOnf+c8tFP/oAfRLyiAs0vGXTQQ7bSOa+3ycHTU4O2pQG9PIqFhDZvkaMuasxpBRzImXfo4UDo1onIuRjhf/E/PauvklrJtj0+jb9+/Gvn/oFPxDtTl/PNHvo/6hH45htdPP7E33MEY8zfV4WxvQ5hZR9pEH8bY3gSQi1+rpPbQrrh5M5/ZXyL/lfaQuuxzjnIUEertQ6I2o03OwHduHoWQuCkPiL9+LFUGhoOSHP4o7XvffDyKFLsybV+bVlcz/5k3TvYwJ4dg3nqN7T4KiPcMQaLYi+YMI6kgszPlo5kYCuv31bYS6HXDlUpTZqciNOsLO/l06VXF/X38Cy8yFTlgK4BfdHOl5Db/oJkWVy8KUDTiDXXT5+osMz7dcSb3rMHs6/4NGYWBxyrWUiSs5Y4+4JaSq86g0reNwz6u4Qj2oZFrS1AX4wxH3EEewC6MynR5/CynqXDwhGxZVNu3eakzKDOyBSIBwuqaQBSlXc8L2JvZAJ3qFhUUpGxAEWYzAAliaegOtnjPUOg+glusQpXhXhbTCJeTMvwqtOQfZLMo4FA7273SnFV9C6ap3IRvEBXlQBIHUgsWk5C2g4eALdFSNLUnObEImV6C1ZEeruY/v2i0iJX8BjQdeoL1qx/jXplBStPx2MstWD994ign1OlHlpSE3aAi7fAgKOVJo+GRIwW4HroPVZL7vGjr+9hpyrZq0uy/H9sZBAPxNVkzrFuKr60CVnYJ5/VLCjv77r6Y0h2B7L43feiRhcpax4Hd203zgJTpObGPudZ9Ga84itWgJ3bXjr0eVJAlchGIGJBqf+iOZl9+EYc58dPmlSKEgAXs3IY8zrrXj1CGaggHSVq1Hk5mLLq+UgK2L9i3P0XNwO0Xv+kRSzJyHJIpYn30GuV6P3GDAtHbddC8pyVQgivjr29BUFqLKSUVQKpCCEfEqtxiicTC+2taImDmHpjwf98Gq6Gv1OTEj+gIEWme+e91E4w97ooIEwBOyU2RYgkmZGSNm7IHOqNXDFeqhzVNFiqrfqiUXIg+LftGNJ2THgx1boH1A/w6MynQALKocmtwnohYVozIDezDizjDHuIpG11HaPFXn1mOj0X2cQv2iODHT42+m0R1xuXSHErtmalNy0KfGW+RmOuFgJOFHVsU6ilfcMa6xBJmc4hV3oNQYaD762vAdZjn61Hw8va1kla+leOWd4xpLEGQUrbgdhcZA89FNw3cYBJlCxfwNn0SfNjM/i653qjCtmc+cP3we0R+k619bsb1xaPiOQOsvniHrgesp/9MXEIMhHG8dw/rkWwC0/+Elcj55Cyk3riLQ1k3Pczsxrx/gxi+Bdm4BFY/9Nwggev10P7WdnpeH9qoZCUGfi96m4+SY16PWDx5z3FeKQqGc+Zk8k8wMLkIxA2Gfl7bNT8HmkbV3Vp/AWZ24ImrDkw8nPC6FQpz88RdHvCZve9OQ7Uc73rQiijh2Rh7GBIUiKWYuInw1rWgqC0EmQ1WQgb82kqlEO7c/za6/LmKZkcIRX+sYMSOToS7IjLSrbb0oM+DIBSUlhkvI0JSgVRgREFDI1HT56mPaOYKxFbiDkh+F0J9gweproNlzkksz7sEe6KTZc5JWz+loqnt7sJNS9XJkghyTMp1D3S8zx7Q6+rrmnFAxKNOwqHIoNa6IW6sgyGLchwaKpQuNcNCHOaeC4hW3D9pGEsME/W4EQUCh0iHI4mMJBpK38BpcXQ2jcz8aOJ8kIknijM/8pk/NJ+CxUbxycBE4+mu3AVdX/diunSAwZ917BxUyfncPvU3HcXU3EvS7QRRRqPXoUnJJyZuPLmWkyWgkAh4HPpeVgG90BTalsEjLL55JeO7UXd+JeW3fehj71sPR12GXl9ZfPpuwr7eqhdov/D7mWO9rEQuJpjiL7I/fRPUDvyBki8QMq4syKfnZx+ndtB8pLA47N0B62Up8TiuuznoGFk5T6cykFC4EwGMbPIuV1xa5j5hyylHpLcmkAUmG5aIUM0mSJJkcBmYmUxdmR8WMpjIiZkSvP5IVR5IINHWhLs6OiZtR5aYhqCIWBV+ClM0XA4tTNmJQpnK8dyuOYCdhKcTazPfEtQtJQ6frlpA4adtGrXM/ebp5zDGuotSwnD1dTxEQPdgDHRiUqZiUGbiCvQREL56QDZMyA4MyDUewEwEBuaDkrGMPLZ749J7SeW5kYWl4N1J3dzNdNUPv8qaVLEMmi/16kiQRa+3YirpNhG++UmukbM29nB9TYW8/S3fDIextZwh4HEQf3gQBfUouKfkLya68HLkyUdIZgeJVd3LkhR/GXcuR4LI2sO/xB1GotSjUepQqPQqNHoU68qNU6zHnVKKz5Aw/2CSSkreA1IJFzJRrl1a0lJS8+AQ+kiTSeOhFOs7sTDhmT9NRmo9uIrVgEaWXvjvhulqOb8bd04zPacXv6kacRXEhcosBwmLUnU1QyNEvLCFkdYzK5Sy15BLMuZWEA178rh5CfjdylQ5dai6CIMPechpb0+DxWq7OelxdDRgyilh021dxW5uRpDAKtZ7Oql10VcXG4aUULkJjTEem0qBQapArIps6eUuvJ+CxEw76CAf9dJ3dE70XpJetQKk1IVdqkKv7LUCFK28nFPASDngJB3x0VsXWVRprvySTS1LMTBIf/qyZG+7Uc8/VF+cDWZKLk4EB+6oBSQC058TMQGuLr7o5Imbm5EWyl0lS1MUMwH8RBv8DpGuKqHLsojcQuXfIBDk6+dgrgfvCLmqc71DvOszlWe8lTzeXOtdBfGEXITFIhqYYWyAiOm2BdjI1JYREP75wZGfWGbRiUKZGX4+X3ubj9DYfH7JNSv5CZOrzxEw4RO3ekVUDnwyUmthA6aDXQe2+pwYPopck3D0tuHta6KjaRcWVH8KQFl8IVK1PJaVgYaQWx5iQCPk9hPwefMTXZCqSyaddzKh0sZ/f6bx2giAjf9F1Cc/V7nkSa93wcRw9Tcfwe2ws2PiZOAuSWp86a10H3UdqcOw8TsnPP46glENYwlvTStMP/jWqcdpPbEMM+tGl5qExZyKTKQgH/bi7GuiuO0RX1W5gKKu7xNktfyLvkhuxFCzAkFWCGArid/UQ9Mbfh3IWrkefoMhuWunymNc9dYcInRMzeZfcGPe5BMioWNO/CkmMEyVj7ZdkckmKmSSDIiiVGJZegn7RQtT5BcgMBqRgkFB3N+7jx7C9uQ0pOPpClhM5X1+yAffRo3Q88g/UefmkXHst6uJiZGo1IZsN9+HD9Gx6Ndqn5Ic/wr5jO+6jR8m8917kRhOOHTvo2fQqugULSL/jDmQaLc69e+l+8YUJe38XA4EWK6IvgEyjQp0fcRcTlArUJZGHKe+Z/nSmvrPNmK9ZgUynQZWbTqClC/WAxAGJ0jJfDHhDDtLVhbR7q1EIKspNq8fkRpSlLUMpqHEEuwhJAUzKDJQyDe6QLdrGEewkW1vOWUck8Ykt0E6ZcQX2AS5s1Y69XJJ2Ey5jDx2+GgQEDIo0BEFGq2ds7lGznYDXwak3HsbnHFlB16DPyZk3/8SiG7+c+EGodNU4xMzsYrqvnSGjCI0xPe64ve3MiIRMH+7uJtrPbCdn3lUxx9NLltN6citee8eIx5oxSND56BY6H90yrmEcbVU42qqGbzgEoYCXhr1P07D36WHbnnzlV6Me/8hT3xm+0QT2SzK5JMVMkkExrlhJ+l13ARDq6cFXV4dMrUadm4sqNxftnHJaH/7dhMU1jGc+ucmIpqyMnAc+iuj1EmhtRabTosrOQabXx7VX5+SiX7gI0eNBYUnBcs01hGy9pN5yK8GODmRaHeYrr8RXX4f72LEJeX8XBZKEv74N7dwiVAWR9KyqgsxofQPfmcZoU19Vv7DRzMkj0NKFqjBizRE9PoLtF2c9jmO2N1hguZorsz5AQPRS5zqIPzz6mgySJFJkXIJWYUKGHG/YQZVjF52+/kx19kAHGZpiegdYZnQKC62e/lT4nb46Dna/RJlxJWXGlYiEcQdt1LrG5vI1+5Go3vHIiB/G+wgFvDQefok5a++PO2dMLyLignWhx4hN/7UzZycuyNpxdvQ76R1nd8eJGYDMsktpODi76nQkSTKbSYqZSeJC+Epy7t+PTKvBdfgwoZ7+B0tVTg65n/4MmtJStGVleKurp30+ZXoGmffdT/fzz+HYuzcqeOR6PYJaHddeW1mJ9an/4NizB+PKlWS8+z2k33kX1ueexbFrF/pFi8j6wAfRzZuXFDOjxF/TinZuEYo0c8RC0+c6Jkn4zvYXEQ20WBE9PmQ6DeqyXHjrMKq8iADyXaTB/xARGLs6nxiyzY7Of8Ydq3bspdrRX4C001dHp68url1MH+c+qp398SvuUC+bWh6Ka9flq49LQDCQoOhP2O9CxFp7AGdX/Zj69jQeJbTiDhQqXcxxuUqL1pw5O3fzR8FMuHaG9OIERyUcnaNPR+93dRPw2OMsRqasslGPNVtIWZBN5ppizOXpGApTUBrVKHQqJFEi5A0SdPrwtDhwNfViO9WJ9WAz/m73hM1vmZ9F9mWlpCzIRp9vQWXWIMgFQp4gnnYH9tOddO6up2NPA1JodlWxHy2pi3PJuaqMlPnZ6PLMKPUqxJBI0OnD2+mi93gbnXsasB4YujD4aNGk68m7rpKMFYUYi1NQmiKxYwGbD2ddN13vNNHy+mn8vf21vSYqzfdgzDgxU1Ci4KOft7BstQZLmgxrR5jnHnfx99/2V5w1mmRsOVbALWta+NgXzKy/UYcgwBN/dfL7n9qi7d7zYSPv+qCJ7Dw5bU1hHv2Dnece7/e3fGJzLlte8fCnX/T3+egXLGy4Ucd7NrZG2zz2Rwcr1mq46jotwQDsfsvLj7/Zg8sZ+eUIAjzweQt3v8+AVidj51YvjXVDB+fOBqRgANvWrXHHA21tuA4exLR2Ler8ggkTM+OZT24w4Ny3F8ee2MDAsNsN7sQ3UtehSJpLz6lIYLMEOPdFHux89fUAKFLTxvp2LloGBu4rc9OjLmaBtu6YejJIEr7qFnSLy9CU5SEo5CgzIg8FF2N9mSSzg7Yzb4+5rySGcVkbsOTOizun1qde8GJmJlw7pcYQdyzoc4+5qKrf1R0nZjSmzDGNNZPJvXoOlR9bgz4vcfyeAKhUclRmDfp8Cxmr+2NYHGetNL92mpbNZ2IecEdDxupC5n1sLabyeBdBAKVRjdmYgbk8g8JbFuCzuqn6+z4aXzwxpt3ly35/D5b5scWfX776d2N6KF/84HoKb4pNOPH2R57AcXbw0gPnz7/9gSexV0UsmuaKDBZ96Sos8+KLU8sVMuQaA5oMAykLsil99yXYz3Zx4lfb6Tk6vu9VmUpO5QOXUnr3kpjCq31oMvRoMvRkrCpk7scupfbJw1T9bR9iMEzQOXEhCQnXNqmjjwGPS6KrPcw3P9fFvRtb+fOv7HziSxbWXhWfb/z/fpfOmeMBPnRrO1/4UBe73uz/I7nn/UY+9kULf/qFjXs3tvGXh2x8/n9SuPv9xrhxhuMr30mlrTnEh25r53/+y8qlV2j58Of6/6BvutvABz5l4rc/tPH+m9o4/I6P+x64sGvPhGw2AARNvNVjuuY7X8gMRdjjRvRHiuCF3W6QJMI2W7Sop+iL1JSQqVRjXPHFy8DAfWVmSjQOxjcgXqaPPkuNqigLZVYqyCK3JN9FGvyfZGbjtbdHiz+OeQxb4vTVCtWFXVNjplw7pTre7TgcHNsDNkRc4M5HJlcgk4+yKOgMRaaSs+J7N7Ds29cPKmSGw1SezvzPXEb6ivgg/WHnV8pZ8uB6Vv/k1kGFTCI06XoWf/lqLv3F7ajMibLhzS76hEvuhnLWPXx3QiEzGObyDNb88nYKborP4DdSVBYt6357F2XvuSShkDkfmVLOnPcuZ+1v7kRl0hCwj/1vbCTMOMtMd1eYh/6vv9haU72L93zYSOUiFbu2xV6Md3b6+Pc/IoUu62tiLSEf+S8zj/7ewavPRnblG2qD5BUq+cjnzDz1SHxxzKE4fczPH35mA6DubJDXnnezeHn/Q/Xd7zOy+QU3L/zbFV3LpVdoyS8e/eU1zcth2W/uHXW/4RD9IXbe+TBh3+gsRsq0NAwrVqApLkGRmopcq0VQKhEUkfcmnJdqc7yMZ76QtXvE80g+/4AXEkhSVNxEj0H04TrJyAm0diN6/ci0apRZKajPZTUbGC/TR1/cjEytQreoNHo8aZlJMhOxjzOoGRI//ELEXepCZsZcOyH+O2S4mjZDkVC0SBKSGB7zmDOJFd+7kcxLi4ZuJHF+1u04gg4fbdtG58UhVytY9eNbSLskb1T9BpK+LJ91v7+H3Z99Bp914tzdphrL3Ezczflc8s2NCPLRP5cIChmLv3I17qZeeo4OXuMnEXKNkkt/dtuoxGQflnlZrP7FbdQ+cXjUfUfDjBMzOr3AfQ+YuPwaHdl5cuRyAYNRxs4t8Tex44f8CUaAlDQ5qelyTh6JPX/ysJ+Pft5MRpacro6R32hOHo01jznsIgZj/4epsFTBa8/H/pHUVgXHJGYyrigfdZ+RIFMrSLu0hM5tI/9CMa5aRfpddyPI5QQ6OvDVVBOy2xF9frRz5qCbF2/uHw/jnU/0jVz5S4niMS7SGI0JR5Lw17WhnV+MbmEJMl1kV8ybSMwMiKHRr6gEIgXfgp2Jq8cnSTKdDFXob6SEQ4m/ty6UnfzBmCnXLuT3xKXZVqoNjDUBg1Ib7+0R9LuHrX2jSE9DbjLAeZkK/TVDx7lNJQU3zosTMpIo0br1LG3bqnGcteKzuhGDYeQaJWqLFkNxCqY56aSvKCB1UQ4yZUQoNm06jRgcncBb/OD6hEKm93gbTZtO032gGV+3Byksok7RYq7IIOfqOeRuqECQ9asrfZ6ZVT+5lR0f+/eo1zBTyFhdROalRTFCpuudRlo2V9FztBV/jwcxGLkOKYtyKL59Udy1E2QCS752DdvufwxJHPlnff6n1iUUMo6zVuqfOUrXgSZ8VjdylQJNup70lQUU3rwAU1nETd9cnsGCz142xnc+MmacmPnWz9MpKVfygwe7OXUsgN8n8egriXPk+32Jfxlq9bkP8fk7MOde+ryD/xJ1+vjtBY97+F/6+Q/HweDYHownS8wAZFxZMWIxo0xLiwqLrn8/GY0l6UOm1UyomJnq+ZJMLr7a1oiYWTIHANHtJdAS7x8cdnoIdvSgzEpFtzgSNDtUfRlFihFVQSYynQaZTo1Mp0GuU6PMib3Rpr1nA2G7G9Hrj/x4fIgeP/7GDsK2+DoFyuxUlNlpyHRq5OfGlek0aMrzo21kGhXp77suMpbXj+jxR//vq21FdPsSrnkyx04ytXgGcXNKMjwz5dp5bG1ozbEuOjKFCp0le9SCS6ZQxY0F4HMOHgsBkPGx96OZU0qo1xa3idb2w9GnGZ4siu9YFPNaCons++qLdO2PdxkO+4J42iNB+J17Gqh+7AByjZLsy0vJv7aSxhdOjGru3A3l5F0Tm3lOCokc+9k2Gl+Or0/k7XTh7XTRvqOO2v8cYfm3rkM3wC3OVJbG3I+v4eRvdoxqHTMFTXq/e2TIE+DQdzfTsTNe+PqsbtrerKbtzWrK7l/GvI+vjTmvzzOTuaY4Yd9EmMszKLx1Qdzx+meOcuI3O2KSLIRCAVyNAVyNvTQ8d5zyD6yk4oMrgYib2mQyoWJGm57HnNs+jaejgZqX/jCmMdZepeWh/+vl8DuRHRiVSiCvcHTL7GgL0dsdZsESFXvf7t+tX7BUTUdrCKcjcvHdLhGjKXZXZE7l6HfHmutDlM+Lja0oKR/9OMaKLDTZYy+ONxypq0uRqxWE/cNXJNZWzkWQy/E3NsYJCwBlSuqErm2q55toAj1u7CdaUZq1qMxaFAbNsGb3C5mom9i5DQVvVfOgli9fVXMkXuZc26HqyxjWLiTjgzcMO7/l+tUJj3f95WVsm/bGHU+94wpM65cNOaagVJBy67qE51q+/yiew2cTnpvMsZNMLSH/xBQOvRiZKdfO0X6WtKKlccfTi5fRePjlUY2VXnxJwhpQttbBq9sDaMrLaP7G95ECkxsUPR6URjXmythEBo2vnEwoZAYj7AvSsvkMLZvPDN94AAq9ikVfuDLu+KHvb6Z1y/D3QvvpTvZ84XnWPXwX6rR+EVB6z1La36qh59j4rYTTRURQvjSiYP6afx7EXJ5B7vrYTfLc9XNGLGbmfmJNjJULoGNnHcd/9faQhkwpLFL1170o9SpK7lkyornGw8RbZiSJcDCxKTgRSoOFsN+DeK4YYktjiEuv0PLmqx50ehkf/5IFhWJ0T4WSBH99yM4nvmyhrTnEySMBFixVcd8DRn7+v/3uK0f2+7n5bgM7t3roaA1zxbVaFi3X0N4y/MP+QJ5+zMlXvpvKoX1+jh3wc8lqNSvXaejuGp05czKtMhDxP01dXUrX28NbZ/oC30NOR9w5QaVCM2fOhK5tquebaGxHmjn0uf50uoJMQGnSojSf92PSojRrEh6X6y6cZAPnW1cSxctEz1U1Ybx88aB9kySZKYzmuy1JLDPl2vU0HaVo+e3IFLEbjpkVa+mq3Y/XMbKsaAq1jryFG+OOS5I4bBHPniefJeOB9+Grro0TNM5tO0c0/2SjSY/P+mY/3Zmg5cRTcMO8aLrfPlq3nh2RkOnD0+7gxK+3s+zb1/cfFKDsvmX0fG10onUmUfvUkVFlJTv7yP44MZMyP3uQ1rFo0vWkLy+IOSaFRI7/4q0Re2Se+fMe8jZWzC7LjNfawrG/fmPE7QWZnHn3/jcNb/wTe12klsd3vmzlv3+QxrM78ui1hnnsjw6snaP3cXzyb05CoUiq5ew8OW3NYX77Q1s0SB/gL7+yk5Yh53sPZaBUCWx/w8OP/6eb939idNaRF//tIrdAwee+noJGK/DW6x5+9r+9fPDTo8toNtliBiDjyvIRiZlAR8QlQFNcglyvj2T8AmRqNen33IPCPLEWpKmeb7KRRImAzUPANvJihzKFHKXlfOEzhCAyaZGpZ5ynKBBJw3z2nv83ora2TXsTWksStn15N7aXd49naQnpePg5Oh5+bsLHneyxk0wtg8VsJBmemXLtQgEv7VU7yJ1/dcxxuUJN5dUPcHb7P3D3DF2XQ6WzUHHFB1DpLHHnuqr3DutmZtp4FUgSyuxMEGdoLZQEe8jKqcgKJkDR7QvjDp/508izlfbR+mY1c95rjYn3yFxTjC7PjKfFPkTPmYkYDFP96OiKFTtru/F1udBk9ItTXZ4ZuUZB2Df0xv35sUcALVvO4u0cuZU15A3S8MIJyt+/YlTrHi3T+iSkzylBpojdjT55JMD7bxraBOh0iKwqahh2/KcfdfL0o4NnLnO7RL71+fibzitP9wfz99WbGciffmGLqU0jivDwT2w8/BNbTLuXnxr5L9wwJwNtXsqI24+VtNWlyNQKxGFczbxnzhBobUWVm0v+V76Kr6YaQaVGXViIoFDQ+/rrpFx7bcK+xhUrkBtNyLQaZNp+NZ522+2IXi+iz4vo9eHY3V9xeTzzXSiIoTB+qwu/deSfm9QVRSz+0V2TuKokFwNFn/oy6uxcAFr++WfcZ4Z2k7loSSYJGTsz6Nq1Hn+D1MLFaAyxdcTU+hQWXPc5epuP09N4DHdPM6FzwfwKlRatJQdL7lwySlbGWXYA/K4emo5uGnZ+mVZD6/d+PqPdzLwdTiRRinmYLbxxPvVPHR2Rq/pYMZWmYSiMfRayne7EPUbx0bKlKkbMCDKBvGsqOPuPd8a1zumga18jQefoNwUcNd0xYgYiboTDiZmMVQVxxzp2jL64bOeehgtbzJgK5k7n9DOKjCsqhm80Aci1SlJXFmPdMXSKREkUaX34d6Rcdx26efPRLVyE6PHgqz5Lz6bXCLucpGyMN7EDpNxwY0JLimnNmv4XohgjZsYz38WMGJyhu3pJkiRJMkMJh/ycffvvzLvmkyhUuphzgiAjtWAxqQWLB+mdmKDPxek3/0jIP3z6X++JM+R8/fMEGlviBE33Y/8Z1byTRcgdwHaqg5QF/S5J+gILq392G4d/sBlPa7xL+ESQsiA+4VPnrrFneOvYWce8T8QGwacuSpxUaqZjPTC0xXAwgo74BDJKgxpf19CfVdOc+AxmY1mD7WQ7YjAczWw3GYxbzCg0ehZ+6Lsxx9ztdZx99qGE7U2F80hfdDna9FyUuogbVsn1H4prd+QPX0Y6z/wqV2nIXLoec9li1MZUxFAQT2cDHYfexNUS60spyGQs+fhPad7+DOGAl7x1tyOFgrTsfA57/QkKrno3ltJF+GydNG59HF/P9GZaybh88l3M+si8smJYMQMger10P/cc3c89l/B87Ve+nPB443e/M6Z1jWU+KRSi9stfGtU8df/9YPzYX/3KuMdNkiRJkiSzA4+tjVNvPEz5Ze9HY8oY11iOzhpqdj9OwG0bUftgRyfBjqmJPxkPdf8+TMrAmBMgdXEOVz16P82bTlP75GFcjRObRj9lYXw8h6Nm5DXkzsfdZEMMhJGp+h+kUxZkI8iEUaUnngk4a8d2HcIJ0lEPV/hSnaZHnRIr9P3dboKu0VuGJFHC0+aIs7hNJOMWM+GAj4Y3/olCq0eTkkXa/DVDtpfEML7uVnzdrZiK5qNJzcZeexS/Pdbd6/xUx0qdiTm3fQq1JRO/3Yq94SQKjR5DXjnGgkqa3nqK7pPxvvTm4vloUrLxdDRgLJxL4fr76D65G0NOCa62OkyFcyne+D5OP/mT8V6KMaMvSUdXOHXZutIuLUWmUiAGJs9UnCRJkiRJksxkPLY2jm36OdmVl5O/6LpRF8/02tppP7Odztp9o3KjmylB/sPR+mY1uRtqyL6iLOa4TCmn8JYFFN68AOuBJhpfOkn79toJqeGiL7DEHXM1jF0wSaKEq8kWrXkCkWxpmkwD3vbRFVCfbibLGpYIXXZ8/aSxuvpBZO0zWsxIYpjesweASGrm4cSMs7kKZ3MkAF1pMKNJzaan6kA0AcBgFFz9btSWTDoOvkHbvlejNw5dRj5zbv8s+ZffibO5ioAjVrkaCyo5/cSP8fV2kLfudjIWX0FKxTJOPf5Dwn4vZbd8AmN+BUqdkaBnej7YUxH4PxC5TkXqyiKsO2umdN4kSZIkSZJkJiGTKTGkFcUJGb+7B4VKF4nrlSRCAS/hgBevswuXtR5nRy1Oa/2Y5hQUcvQrLkGRngbnBVjbXhg+5mYqOfid11ny1fXkXVsZf1KA9BUFpK8oIOj007zpNA3PHx+XtUZpVMcdC9hGXhA7EYn6q4yaWSdmgp6pi7FSGOKzq47n9zAWi85omJmpkM5Dk5KFqXAefnsX7fs2xeyAeLqa6Tm9j/SF60ibuyoidAYQcPbi642kWnS11pCx+AocTWcI+yO/FG93a0TM6M3TKGamJl7m/DmTYiZJkiRJklysqPQW5m34ZEwigHDIT/07z2KtG13WqNGQet/daCrm4D9bg3bhPHxnqtHMK8ex+a1Jm3OsiIEwh763mba3a5j/qcvQ5SbO0qo0qim5Zwkl9yyh651Gzv79nTHVc0kkZkLe4KjHGa5/onlmOuFxXofRoExQKmK4hAFDMZ6+I2FWiBljfuRh39VSgyTFBzz7eiJ/MNqM/LhzQU+/WS4ciAiYoNMWPdZX30aQj77I5USgK0xFX5w2fMMJJm1tGTKFHDE0frPw+RhS8lm8/r/wOrs49PqPJ3z8JEmSJEmSZDzI5ArmXvlAjJARwyHObPsLzs7RZ2waDdqF82j7wS8I2+zkfO3zdP35UdTFBZGUzTOU9rdr6dhVT8GN85hz7zJ0eYOXS8hYWUjGykI69zRw/Bdv4WkbuXuUXHPes5jEuN3XEmVvVeim55lvPExljE/c7wHGlcUu7JtcITYrxIzSYAEgbf6lpM2/dNB2cnV8UR4pNOACnvsciOGBF/XcwWmq1p5x5dRbZQAUOhUpK4ro3jO5N+0kSZLMBmZXIGySJOMle+4VaC2xwebtZ7ZPupCBiJtZ2HHOE0SIPHz465tQl5VM+tzjQQqJNL5wgqaXTpK5ppii2xaSsaowrhZJH5mXFnHlP+7jyI+2jLjgZdgTQKEd8CAtgEwlRwyMXdDINfGPukH31Fk5Brs+M5lEwmUys5GNl1khZvr+2L3WFrzdg1c+DdjjMz3MoNT2CZnqeJmYua+sSIqZMSDIIIGB8KLghTezeOlZD3/89cz2NdaVVZD/gU8A0PrE33GdPIogk2FcsgLToktQZWYh1xuRggGCth48tdXY9m4n2Nsz4jkEhQLT0pUY5i5AnZWLXG9ACoUIOnrx1JzFcWAv/s7RuVlMxpi6sgrMy1ajLSxGrjci+n0ErJ04jx/GfmAPUiiEFJpZyUBiN5wiCPLZ8XWVZHaQUboq7lhPw+EpmTvU0YW6MA9/fRNhmx39qmWEOocutDmTkESJjp11dOysQ5tlpODGeRTePD+ulglEhMSy/3cdgkxGy+Yzw44dcPpRp+ljjim0SgLjETPaeCtD0BWfrniyUCSYf6YTShCfk0gUjhRFAre1iWRWfDsEXTYA3B0NNL/91PQuZgLR5lkwlI4vJeR4SJ9EV7MLmW+9tILv3HIAMTzDlfIFgsksIxiU8HrGdr1VGVkojCZy7/0wmvzCmHOCXIs6Ow91dh6WVetof+4JnEcPDjumrrScrNvfg9ISm51FUChQa3JQZ+aQcunl9O5+m67XXxxRle+JHlOQy8m6/d2YlsQWK5MrDGj1BrRFpVhWrqXlX38l7PUMu76pJBTwoNLFurEIggyl2kDQP/KiskmSJEImV6IxxtfQCAaGrxEzEdhefh3RG3mYtr+2lazPfhRBqaT32ZenZP6JxNvhpOpv+zj7yH5yr55D+QdWYig6L2uVAIu/chXdh5uHrW0SdMQHiqtTdATsYxcf56cYBsZUfHKsJHLZmumE3PFiRmnUjHk8pWFyY5SmVcyI51zAZMPsuDmbI+ZJY345gkyOJF4YD9/T5WLWh8KgJmV5Id17x16Q6mLDkqUmuzT+xphk8vjad8xsfsXL1tfG9mWmySvAMHcBmrxCkCR8bS0EutqRwmFUaZloC4tBEBAUCrLvuJdgdxe+lqZBxzPMXUjOuz+AII+Y3EW/H29DLSGnHUGpRJtfhDI1HQSBlLVXojCaaPvPo0OucTLGzL7jXoyLl0Vfh5wOvPU1iAE/CrMFXVEpqsxs8j/4CUK2ia0VMV6CvsSCxZBZTG/T8SleTZILDkki4loZ6/6TUbqKlmOvT/r03uOno//319TT9JVvISiUiN7xZe2aTqSwSMsbVbRuPUvJ3UuY94m1MbVM5BolJXcv4dTDu4YYJVJLJXVxbFFLQ3EqzvqRW80HIshl6PNjN0ZCngC+zqnbFNFmxlusZjqeBJnezr+Oo0GdGh8GMpFMq5jpqy1jLJpHb/WhQdv5etqw1x3HXLKQvMvuoHXX81EhBCDI5JiK5uFqrYlmKZsNTEcWs0RrGE7MyJUasksuJb1gKWpdCjK5kqDfhdfVRW/rSbqaDhIKxF93SRKRK9Tkz7uGtLxFqLUWwiE/ju46mk5uxm1rSTyfQkXOnCtIz1+MxpCOJIZx21tpr9mFtfnIuVYCq2/7LkG/i4Obfhjta8msYP7lHwVg/8vfJeCLBB7KZApW3/59HNY6Trz9+4TzCjK4/QslXHpbFnqLAkd3kL3Pd/D8L+tRqmV85fGl5JwTMr85elm032cW74haaUqWGLnlc8UULTQiVwg0n3bx5PdqaDoVuXEWzDPwsV/N4zcfO877f1BJ0UIDju4gP3rXIexdU5d2cTyMwMgwYchkcOnlGja/Mva/a8PchQAEujpo+89j+NtjP3eavELy3vsAcr0BQS4n7aprafnnXxKOpbSkkn3XfVHRYX9nF12vv4TojxVapiXLybrt3QgKBcZFl+Cpr8b+TnwdrMka0zB3YYyQ6Xl7C9atr8b88uQ6PVm33oNh/mKUlqmrczUSXN0NmLPjXXCzy9clxUyScSOKIQIeOyqdJeZ4/qJr0ZoysdYdwGNrJehzTcnmqRQMIQVnlqvnWJFEidp/HyZg97L0GxtjzmWtLRlWzPQca6Po9oUxx0xz0mjbNnyh70QYClPiYj1spzqHDaYXQ/FfdDKljHB4dF+AgkxIWDtnpuPrchF0+FCa+q0x2kwjco1yTMH8huLJ/Y4Zt5gxFS9AqTUiV2lQWyIuUypDClnLNyIGfIQDPjzWZnzd8X7evWf2k7XsGlIrVqBJycZv60CmUCFXaah+4eGYto1vPkGZ4eOkL1iLpXQRXmsL4YAfpT5Sq0au0nDyse/NGjGjyTZjLM+c7mWQvq4M4RcypAR/uBARMouv/hxaYwahgAePvR0EAbU+BUtmBeb0MqzNhxP2lcQwC674OAZLPm57Kw5PPXpzDqk5C7BkVnD0zYfw2GM/F0q1kQVXfAydKZtQ0IuzpwGZTIkxtQhTeinmzHJqDj4NSLhtrZjSi5ErVIRDESFgSOt3IzKkFtDTegIArSkLQZANKqAAVt2SxfLrM/j5+4/g7AmSVaJDo4/cBIN+kR/ceZCSJSYefHJpjIAZiNsW4p2XOnn0m1WEAiJ3fqWU932vgh/c1e+6ZMlSc9eDpTz1o1o66z0ULjDOGiEDoNMJ/PThVK5Yr8HrkXjyUTcP/8IRE592w21aPvZZIwXFCtpbwjz1uJtH/uRi4HPBfR8y8J7368ktkONxSZw+GeT//sdGXU3kS/0fT2dQOV+JTi/wyz/1Zxz600NOHvrJ6IqHhb1emv/+MCFnfD9fSyOdrz5Hzt3vjby/skoEuRwpHP8Qk77xRmTqyM3deeIIHS8mdnt1HDmAXKcn44bbAUi76jocB/dN2ZipV1wT/b/zxBGsb8S7r4Q9btr+/QiFn/wi6qzchHNOF86OGlhwTdxxU3Y5uQvW03pi6zSsKsmFhLXuALkLNsQdTytaSlrR0mH7S5JIOOgjHPDic3bj7mnC3lGNo72a4RJqWG6+DteufYR6ZpZFdCJpfu0MZfctw1jSf+/WD5EBrY+eY/Fx0VlrSzjz571jWkfWuuK4Y70nho87DLnj3dCURvWoUwybytJndOD8UDhqrKRdMiBLsADpy/Lo2FU/qnF0OaaZ72ZWcMXdKPWxH1ClwULOqhuirzuPbKN11wtxfYMeB9XP/Yac1TeizShAm5ZD2O/B09Uc1zbs93D22YdIn78GS/ky9NklCDI5QY8Td3sd9tpjBN1jr0461WROs4tZHwqjhpRLCul5pz7h+YzCZWiNGfS2n+L07n/E7FJpDRnozNkE/Yl9YPWWXIJ+F0e2/ioqIuQKNXPXfABzZjn5czdQtfexmD5zVrwLnSkba9Nhqg/8OxoIrNKambfuw2SVrMZjb6OtZiduWwum9BK0xkxcvZHPjDG1CGd3A4bUAgwp/WJGb46YrYcSM2ptxCTu84TxOELUHRl9td3OBi+dDf2CeseTbXzx0SUIQn8yCqVaxpZ/tETHP7Vrdn2h3fchAz//gZ3f/tTBkuUqvvkDCy1NIZ7/TyTuYu2VGv7f/6Xw3a/bOH4kQEmpgv/9SQoKhcCffxMxXa+4VM0Xv2HiS5/ooaYqRFqGjFVr1XR29H++PvE+K2q1wNtHcvjqZ3p4e0vEUhEcg+6z7X4roZDpw3XyKFI4jCCXIygUqNIy4wLtFQYjhgVLo6+tm18aes79e0jbcCMylQqF0YSurAJ31alJH1OZmhYTG9SzbfOg40miSO+ObWTfdd+Q80419o5qfE5rwriGgiU3Ykgrov3M27i6GhDF2IcLQZChUOtRao2odRbkKi3WugNTtfQpQyZXIFdqkSs1yFUa5EoNCqWm/7Ui8q8pa07C/lnlazBllhIO+AgHfYRCvuj/z/8RwxeG1WAgrSffxJI3H50lZ/jGCRAEGQqVDoVKh9qQhjmngtwFG/C5umk9sYWumn2D9jVdcyX2zdvGuPLZg6uhN0bMCHIZgmLwzVMAb7uTnqOtpC7u32AxzUnHOBZXMwFyN8Q/a7VuGd7KE0gQu2MsTRs25ud8cq4qG1X7mUTX/uZYMQNkXVY6ajGTddnkZ+kbt5g58ci3x9Xf291K7St/HlFbKRyi69h2uo5tH76tKHL44S/GHHO1Vscda3/nNdrfeW3kC54gMq6cvixm55NxZcWgYkapjvh6Orsb4sztXlcXXlfXkGPXH3spRkCEQ34aT7zGosxyTOmxH3C9JY+U7LkE/a4YIQMQ8No5+84TLL3mi+TPu4aOur3RcXWm7KiYMaQU0NV4ALlSjSGlINpfNwIxs/f5ThZemcr331jF4c3dvPH3ZuqPjS5rlzFNyQ2fKGTumhS0ejmCDOQKAUEmIA2w5DSfnppA08lgzw4//340sv66mhDLV6t5zwf0UTHzic8befwfLl55LvK6sS7Efx5z86736qNiRqcTkCSwdoo0N4ZoboQjB2JVitcjRS05Ab+Exz32hAvOE0eGPC+FQoScjmjwvUwXHxelLS1HkEUEr7+jjWBPfPbEmDGDAfztLWgLI59zbVFZnPCYlDELiqP/D9lt+DsGzwAJ4K4ZPsPQlCNJtBzfTNmaexOeTslfQEr+AiQxTMjvRgwHEWQK5Eo1cqWagbEQfnfvBSdm5qy9n7TiS8Y1hiV3HpbceSNqa63bT83uJ8Y130wjHPRxessfKF55J6mFiydsXI0hjdLV7yKtaClntz9COBgf6xd2uy+KlJjnZyULOHxDCpk+6p46GiNmACo/tob9Xx9dgoTc9eWYymLr+HUfasZZN/R9FiKxO+eTdWkxXXsbRzy/Qqei4Kb5I24/02jdXMXcBy6NCS3Lv7aSM3/Zi797ZM8wgkyg8ObJvway4ZskmWg0mUaMldnDN5wi0tfNQZAn/ig4uxsAyC2/grT8xdE02SNCkuhpORZ32OvsBPqFUh8p2ZEv1t62UwlTs3rsbXidnSjVBgxphbhtkYc0nTlyLTWGdJRqPW57K+7elhgxozfnIIaDeJ2Diy+/N8zvPnmCH997mIA/zFceX8r1HysYtH0iPvHQAjILtfz6I8f42tV7+dPnTyVsFwrM3i+y2urY382Zk0GKSvr3RcorlTzwaSNHG/OiP5/4vJHsXDkKReTzs2Obj+ee9PDYcxk8+mwGd96rR62enFz8UihEwNo5gnYD4vDk8W4Bmrx+a0egY2TpkQdag5QWy5SMqcrsv7eMJI1z2OUkPAMDj611B+iqfWfINoJMjlJrQm1IQ6UzI1dqmLaiYVPJaO7DEzLfhfeooDakkT0vvtbMRGHOrqDyyg8nTHBkf3kzlhs3RoICZyjjTaVrKEwhZUHstXXUjCz9dPvbNbgaYz0Wsi8roeDGkYlvAF22iQWfuSzueM0Th0fUP5ErWv71c9Fk6BO0Tsy8T65FnTp7EwZ52h30HI3dDJOp5Cz8r8tHPEbRbQtjrHOTxaxIzXyhMVGB/6I/hEw9/l+h0qTBsrSA3gMNcedsHWfoqN1DVumlVK5+H36Pja6G/XTU7cXvtQ05bsDniMayxKxbjDw0Cud9QWqNkZirPrGTCK+zE60xE50pm47aPYhiCJ0pcsM0phYB4La1olBqyShajsaQjs9lRWfOwW1vRRrBbljjCRePfL2Kkzt7ef/3K9n0x/7MVn1xMjK5EBczo1TLKL3ExK8/cgxbR8REnVk8uRk8poPzv38HutDJZKDVCfzmp46opWYgoVCkoSjC979p4y+/c3LbPTo+9QUjH/6kgQ/c2UW3dWKFXtjtmpCCUwqjKfp/4+JlMQH2I0Gmjf9Sm4wx5QOOhV0jy9gjet3ItTPvs1q3LxI/lFG6cppXkuRCQaHSUbTsVtJKlsV9B000xsxScuevp/m8DGmaeRVoK+dguPxSwrZY99fW7/50Utc0UhZ98Uq02UaaXj5F+47aUaUy1uWZWfH9G+OKRbZtHVkQvyRKHPreZi57+O6YjdbFX7kauVpB/XPHhgxLMldksOzb18dZhlpeP0Pn7voRraH3eDveDifaLGP0mEKvYvl3bmDfgy8RdAyeXVOuVjDvk2spum3hoG1mC6f+sJt1v70rZo8o56o5LPjs5Zz83U6kIRIi5F9XyYLPjVz4jIekmJkGJiolc/vmk+TctAhhAnbpMq4oTyhmAGoOPU1X8yHyKzdgySonf9415M1dT2fDfhqOvUwokLhGRSIhMxRyRWQnKBwevF/fmHKFGkkS8djb0RqzADCmFkasL44O5IpIsJkhpYBw0I9SbaC7+eiQ8y9en4bPGaK12oMgg9KlJqxNsTvW1iYv4ZDEihszOPS6Fd3/Z++8w+Oorj78zvailVa9S1azLfeKe6EaEyAhlBBaQkJIINSQSkJ6ICGQQD4CAUIn9A7GgCkG994lW93qbXuv8/2xtmRZXZqVZND7PH5Au3fOnR2tZu6555zfiVVgaY7c5AO+MA6Tn4kL4ijfYSVzUgzn/jCnp6lOafILu2rmT56q5Gh1JKc+HIay0gCFE5W0NPWvAtTcGOLRBx08+7iTdz5L5YKLdTz9aOcCPBSK+CFy+dC/4+GhFNn0wPEi/aEiyLpHe6JhU1B17qiGAwNTnZHqGkmNGA5RtfVlrI2HyZx21hDrG8b7QY0TQRuXxuQzrkeljT3pHRF7SyWW+kMRFTOfq/e/CUFAJlcgkytRamPRxCRiSM7DmDUFmaz7kiq9+HSayzYRPKG21L17P+7dfT+PRh0BEmZkkDAjgxnhM7CWttC+qx5HZTuOajM+s5uA248YDCPXKNAkxxCbn0jqkjwyzizqVvTuqrdS90HPmQo9YTvcypEntzP5Bws7T0kuY9rtK8g6dzJ1a0tp31WPr91FyB9CnaAltjCZjNMLyTxnUjdHytPi4MA/Px/w/GJYpOb1/RTfuKTL6/FT01j5zLepenkvrduO4m60Ew6EUBrU6LOMJM3LJvfCaV0iOPaKdmILu9f/nQpYDjZR/9ERslZN6vJ63qUzSZiVQc0bB2jfWYfX5EKmkKGO15EwM4Ps1ZO71Ns4qs0Y8qKnaDbuzIww6qQYYouHVnB4MpZdR4mdki5J483kpUWUP/hJr3KF9rYqStqq0OgTSc1fSFreQlInnIYhIZf9nzzQrQh3KIQCEadALu89vN3h8BzLQ3ZZG0jNOw2ZTIE+PhOnpR5RDOOyNiCKYWLiMzua7LlsfdcOxMQrufSX+RhT1AQDYWoOOPjv7V1vvi5bkBd+X87Xb5vAFb8vou2ohz99vTMf/+lfHuHyuwo5+3vZNJa7eO7XZdz21PTBX4wxzGmLIzUyWzf6mDVXxaoLtPz5TmvH+w//w84DjyVSWW7g47VeZDIonKRAIRd4942I43vWeVoMBoHSgwGcDpEp05XEGWUdTtFxgkGRupogF1yso+xwAFEEj0ukrXXke02JJyxuvA11eOt7dv57o6dUt+jY7HRgZMqB3eJ7corGEubafZhr92FIySMutYiYpFzUMYkoVDrkKg2IIuFQgKDPhd9jx+cw4bG34DI34DQNPMf9OPve+1sUPkWElrJNtJRtGpaNik3PU7Hp+f4HjgLHr11B4mIy4qaxoeoxyWwP59opNQaKz/wRSk3X9Gaf00TFpv8N6XtynOYjG1Dp4pi08rpuDrdMocSYUUx79c6O19x7xrgjcxKCTCB+alq3tDGgp3Y93Qi6/ez58zrC/sHdtyue24kmSc+Ei7o+Q43FqRiLUwdsx2dxs+2Od3psBNkXVa/tI/30wm5zqRP1FN+4pJuj0xONn5ZT/eo+ljxyyaDmHkscevALjMUpxOR0bYYaV5TMzF+c0e/xbTtqKXloIyueiZ7QzLgzM8IkL58oWUq3vbQZ24EGSZwZpVGLcWY2lj1939C9LhNHD6yhsexzpq24AV1sKolZM2ir7b9ren+4HS0AaA29S1Yff+94KlrEQRHQxCRGUs+qtwIQDgVw25vRG7PwOiOFfMdFAnpj8+vNbH69ud/z3PRaM5te63lcyUYLv13VNc//phkbO/6/rtTJjyZ/0e8cY5nf/MTCqgu0/OTOOLwekacecXZJKVu/zsst3zdx/S0GrrvJQDAANVUBnni4M+IS8Itcca2BrBwFCiU01od48G92Pvuoe+j+rjss/OpPRl77MAWbJcy/7rXzzmsj37E+eELKlrehltY1b4xJmyFP57WR6wbWrK2ndLWxiKO1Gker9E1+1Qo9RckrSNEXoJCr8QRsHLXsptYyesIBSrmGsBgiFB58T4evAoO9PhPmXdTNkQn63JR+8ig+19AaMp6I322jautLTDv39m7vxaUVdnFm5HGxhGy9qCvKZCPbzGu49LOe8ba52PnrNVgP91+32BMH//k5nlYHk69b2Gttb1/YytrY+Zv38fTQBLI/xGCYXXet5bS/XzikqELLpmr2/uVjAMKB0Ckr0Rxw+th621ssuP/rg74O7bvq2fnrtYR8AYIuPwr98GqxeuOUc2Z+eFMMl1+lIylZRnNTmAvPacPj7owmaDQC73+WzC9us7Jj29hLnZBKxcxvcuFrc2A70EDm12dJYjN5xcR+nZnjBHxOzI2HyJyUgloX3/8BA8DceIjcaecRnz6lS++Y4+jjMtAaUgj63TjMkR1slyWiThaXMhG5Qo3D3Hn+TnMdiZnTI1GacAi3vX9HZZy+ufD0iMP58dq+C8a/+NTLF5/2nlP8+cdePv+49/dPZM9OP5etHtqDUEq8DUeBxQCo0zLHrE1/a0vH/58oBtAbMrUahf7U61AtFUq5hgW5VxMIednX9C6BkId4bTah8Og+P4pTz6bFcYQWR9monsdYZTDXRxOTSEJ29wh5Y8knkjgyx3GZG/A5zahjui74Tm7OmfLj79P22LMoU5IItLQSNEWK3Q0rlxB/8QWErDZaH36SQFMLo0XVy3sRFHLSl+cPyYkIOH3UvnOI8md2EPQMzyGv/N9u2rfXUXzjEpLmZvV/AOC3eqj4326qX9vXZ11Hf3hanWy64TWm3LiErNWTB+SQBF1+yp7eQfWrezuyXRyVJuImj35vwaHibXex8YevUvzDReR+Y1q/34mQL0jF87uoeH5Xx/W3lbV2k3qWilPKmZm/QMVtPzNwx01WDh0MkJgo6+LIAB27BP5A9POkY+NkBAJi93PoBVWCntip0jSnsx+OLMxtB3qXGh4sSUsLI6lmJxRLp+TOw+syYW+v4cTcc5U2joSMSHGb2yaNk+BxtNJet4ek7NkUzL2Mip0vd+kzUzj/WwDUH/m0o+/B8aL+xMzIuZyYKuC01JGatwBDQg5ue8uIdHIe58uLu7IssmMqk6HNykGZkNivlPJo2DwxVU0Zn4AqORV/W++LIl1e4cirY40hChKXoJJr2VLzNIFQxMG2e0dvEQkgIJCkm0CLYwzKZo8BBnt9jBnFPX7HTUf3SnxmESnwk50ZhbprIboqM52Mu35K0GxBHheL5bW3cW7eQdy5Z9J0z4NoJhVg/Ppq2v7ztOTnN1BsZW3s/t0HKPSqY7Uz6eizjOjSY1En6FBolchUcgSZQNATIOj0426yYa8wYdrXQOuWo4QD0j1zbeVtbL39LQz5iWScUUjCjAxicuJRGtSRc3AHcDfZsZW10bbtKC2baySbP+j2s/++zyh7ZjsZpxeRMCsTQ14CqlgNCr2KsD+I1+TGUdlO67ZaGj8pJ+juuhmy4fpXBjXnxh+9Ksm5A+z/26fs/9vwGw2HvAEOPvgFlS/uJnPVZJLnZREzIQGVQYMoivhtXhzVJtq211L/wWH8tq4blltufWvY59Abp5QzM2N2pND4/Xcju8JHe8g28HpEzlg0Mru4d/0xlg/f9/LxhwPbYU5eViRJsT6AvSRS/+Frd+JpsqFN77+zbn+o4nXEzcjCuq9TvSspexbG1EkEAx58LgsBvxOFUofemIEgyLA0H8bcVDLsuY9TuecN1PpEkrJmYkydiMvagEymICY+G0Emp612N43lnWla4VAAr7Od2KQ8/F57F4U1pyXyOQyJubTW7Dx5qnHGGRRBuw37wT3EzpgLMhmpF15Gw3OPIYaG/sCMhk1/eyu+pnrU6ZEdsMSVZ9P0au/1FcZFK4Y810DIe+JXtD3+Ds6th4ZsQ5WZTMZvr0Vu0BGyu6j50d8lmyM9tphG26EOR6YnlHINZxbdxvrKhylKWkqqYRIgcNSyk/K2L06wNYWCxMXoVPF4A3bqrHupMW9HPLYRpFPFU5i0lARdDiq5Dl/QQZ11H1WmLR02FuReRaw6BblMxezMb3a8Xmna3GWu/liWfz1Vpi0k6fNJiSkkJAaoteymor0z7XWgnys3fh65CfPQKmLxBGxUm7dRZ93bZb7CpKXkxM9BLihpc1Xi9neV1l2adx3NjsNd5i9MWkqaYTIbqzt7zelVCUxMXkGCLhe5TIkv6OSoZRc15u1Dvj66+O6biAGfE79b+kbbPSmkiSeljYnBII1/uJeg2Yo81kDqLT/AuXkHMo2GQGMTwdZW4s5eKfm5DYWgy0/rlpoBq4BFG0eViSM99IAZCbxtLqpe2UvVK3tHZf6+EBDIiz+NzNjpaJWxhMQgbr+Vo9ZdNDqGfu/tCU+rk4rndnL0fwcJMzZSYU8pZyYhQY5rGI3zpEQmg8XL1Hz4/sAcGZC2UeaJERnr3jpJnBmInOOJzkxj2ReEgj70xky0hmT0snRCQR9Ocy1tdXtoqdqKlGpBoYCXQ58/QnrhUpJz5mBImIAYDuIw19JSvZW22j3d5nNZG9AaUnCau6bIuW3NhEMBZHJln80yxxlnoLSvW4O+YBJyfQy6/CKyv/dj2j58F09t950VQalCmzMB/cQpyDUamt/suelgNGyav/iE9G99BwDD9Dn4Te2Y1n/UJRdfplKTvOrCSGRmjONvaKPmh/diWDaTxCvPkcyuUq5FrYjB4RvYBtisjG/QaD9ElWkbaoWO8AlS70n6PKamncuh5g+weZvQqxKZnrYaQZB1OCuhsB9fwMG+xnfwBZ3Ea7OYln4eDm8Lba4qAHbWvYxMUHBm0a3sa3ybVmclAKI4eAe3OPUsjrR+RkX7BozaLKamrcITsNFg69r/q6/PlRM/h6LkZZQ0f4TN24RRm0Fx6jkIgoxaS6RWMjNuOvmJiyhp/hCLp4EkfR4TU1biDfRSF9ILakUMC3KvxuFtYU/DG3iDDgzqZPzBzjqwoVyfkyMjACF/dHorqfXd066Dvq4S6UGThaDZGjkPuwNk8mO9rSLPNjEYGtM9aMYZe+QlLCDPOJ+StnU4fO0o5RriNZn4Q9Fr0F2cchYtziO0OMujNsdAOSWcmSeeT2DmHBUxMZGoxuHaiFrIu296+Nmt1o5x2w+kYoiVIQjwo2vNrP+kqy56bKyM7QdTOX1hKzf/JIZzztMiAM8+6eLB+zqLw666Vs+V1+jIzJbjcoqUlgT48112qiojqU3/ez2R4ilKdHqBhx7vvHH95/+cPPD3novMVEYdcdOlyRUM+4M4jnSmQVh215K+Who98+SlRVT832cdqWbW1jKsrYPL2XZa6tn8+s96fT8cCvb9fjhIQ9l6GsrWD2i+su0vULb9hW6vi2KYy+b/neuvNfCL31n4d+WAzI0zTq8EbVYaX3qazCuvQ6bRoMmeQPZ1NxNyuwiY2gj7/QhKFQpDLEpjfEdqi6us9+hlNGw6Du0j5tA+DFNnApC48hzi5i7EU1NJ2O9DEROLNjcfmUaDr7WJgKmdmOIoqu6NxB7UEOZQyCLFqP5QZLGskms5o+jWjvc/PHJvl95UZvfRDlEAl7/r7nBh0lJqLbtoskd+L26/hVrrXnKMszucGV/QxZG29R3HuP0WcuPnEatJ63BmQuEAonCsH5MYGlbtjslV0xFBcfnNJOiyyYmf282Z6fNzJS6hyrSVRvuhDjtapZGCxCUdzkxO/Bya7CXU2/Z32EjS56FTDa6eMts4GxDZ3fBGx+c+OcIzlOvTk9pmpMGqtOgTslDpjd1e99i6pi0GWttIvPISvOVVqHOzkWnUpNx6PYJCgTzWgBgKRRyaccYZICn6AurtB2hyHO54zeLpW/RoOERSPXNpcY6NVNhTwpn58Q8syGRw808MLFis4qpLIjfb4EmRrdOmt6DVCew53HfR6wMPx/POWx7++0g7iUkygifc5+YvVPHzXxu49UdWKsoCJCbLWbhYRUtL543luqvNqNUCW/elcsdNVj77JBKd6atVQ9Kywm6650PFfriZ8Ak3Ouvu2gHJIw4EVaKe2GkZktbijDPOlwnP0SpqH3uAtIu+jSY70qhVrtMj1/XeGTpo7zudJRo2m197HkQRw7RZQKRBp2H67C5jfE0NNLzwJIbps6LqzCgzEsn+6w2oclLx17fS+p+38FVFUmXzHv8FbU+/j3NT5wI7/+lf0/LvN3DtGHhfir7m6I3jC2GZEHkUBkJevqh6lGR9AcWpZ3Ubb/X0fl+MUSdj1GaSn7io23uCIEMUw8hlKvIS5pMcU4RWGYuADIVcTZsrOjstzpMcE4evlVRD9z5nvX0ulVyHSqHH5u3aDd3mbaJQsRS1IgZf0IleldDhxHXM7WsbtDMTq0nF5mmSXHwh4O4eIVJqDKhjEvE5pUpZEsia3nPU0N7StVmk6flXMZ6/CsPyxQTb2mm69/9QZWdiZz1pv7gFwmFcO/ZIdF7jfBUIhLzEqPruZbMs9zqqLFtJ0uWTElNAKByg1raHClNXufNc41xyjXMjaaVBG9WW7dTZ9nW8vyDris5Uz/SLOl6vNG+h3LRB2g82QE4JZ8briezCBIMiYhjcfaSaDaTGe+tmH/97OhJ6qzrpGaLXCYgitLWGqKuN/Nu7q+uN1eMWO+bx+cQ+z+c4yculaZQJ3Yv+/VY3rpp29HnSNGVKWTFx3JkZZ5w+8Le3Uvv4g+gKJhJTPAPthDwUhjjkag3hYJCQy4G/vRXP0WpcRw7ha2kacZtiKETTK89i37Od2DkL0GbnItcbCHs9+NtbcRzYjW3XNsRQqE+BACmIO+c0mh94hUCLmcTLziTtjm9Te8s/h6UyJMUc/pCHQMhDjDpy7xQRcfst+DU9p2aExJ77aQkIyGVKytu+6Bb1ADqiOzPSv0aMOomDTWuxe5sJiUEWT7h2sB91wAj0UL8hdn9e9fa5jjeBFHrZKQufcNzJdsP0/7s9Hhk7TmQW6cN4vaUZZ0w5g+rtUhRaC+TMOg9j5pRu7wR8TqxNXXevw04X5pciMuyCQo4YDOGxRjYn2ixPITfE4Dk8+qk745w6VFu2My/zMuZlXkq1ZTsmd889y4qTz+JI+2dUmDdi1GQyNeWcSOqp/SAAOcY5FCUupaT1Y2y+JoyadIqTz0ZARq0t4mDvbHw1kuqZfzP7mt+l1TX0VFipOCWcGanZu7v3YqUv1vt4/WUPL7+VxIF9fl5/xcM7b3jw+YZ+g1XGajDOlE6Ozra/e+jQsrtWMmcmaVkR5f/+bLxx9jinDJm//BnuvfuxfPAhEFEJK/vtTwZlo+Zffx30vO7Ksogi2QAwnnM2MfPmUH933w0ZB2NzILjKD+MqP9z3mCMlg75eg8H+6W68RyI1be3PfUDeyl+hnZaPe19FP0dGf44WZznpsVOobN9EeIgPYxERh7eVGHUy3mDv/SySYgooa/2sI/1DJsjRqYxwku8kHnMEenJGBkOMOrHLzwZ1Ku6ApZfR3fEG7PhDbuI06bS7Omu44jQZeAP2DtEEt99CrKar7GyMquvcwbAPpbxraleMumuPNIevncy46cgFRa8OFgz++ljqDhI+LdjhnB0npXABPpeJxkNDV3rSGtPInXMhcWk9b1g2lazvrqQpk2FcfRYxyxYijzUQsjtwbt6O7f11+Ov7jiaOM3JkTIqh8Yiz/4FjALOnjq11z1OYuIR5mZfhDdipsmztElEBMLlrOl5z+c0kaLPJiZvT4cwUJiyiyrKtQzSgM610cYcz0zXVMzjqMvbAMO+Upyg+bx+RnTD88Tc2zlrayhfrfdx0ewzvrksiMWnolyppadGQdNp7PL9gqMeoiWX30LsXn4w6KYY4iSSkxxlnnHECLZ29PMIeH0GLA2Xq4JvQRWOOyvZNKGUaZmddTLw2i1hNGnGawd//Kto3khY7mYKkJcSokzCok0mPnUJGXGc9o8dvJUmfh1oRg16VwIyMC3qJnoRx+y1kxE1Fr0pAp4pHrRh8L6BE3QRy4uegVyWQGTeD9Nhiai2DS1+qbN9MXuICMmIj55IRN40JCfO7qJLVWveQHjuVzLjp6FUJZBtnkaif0MWOxVNPeuxUEvUT0KsSyU9cSLy2a2+lWutu5DIFszIvwqjNRKeKJ1E/oVtq3GCvTyjgpa1iW4/vZc88j2mrbiUxd9bA6mgEAW1sKqkTlzD5jOuZcd5Pe3VkXKY6mo90T7sxnn8OmkmFmJ59mcY/3Yfp2ZfRFOZjPH9V//OPM2L8/K0F/PT101h6RRa62LG/92/3tbC78Q0+r/4Pzc4jTEk+m8KEJV3G9JR6qj+WDqqS61DJ9di8Xdtt2LxNqOX6Id2DRoqx/9sZJZoaQzz8oJOnHnex9rNkvn6xlicf7dw+C4VERBHkA2jomrxcOhUz+6FGQr7uO1bWfXWEgyFkCmk6zCYvn4jtoLQ7RKaabB75r4O31rh5/F+JpCbL+c9TTv74NytfO0fLfX+Jxxgr4+kXXPzqD113D7UagUu+ruOC83TMnqEiOVGOzydSdTTAu2s9PPCwHbdncKGkFUs1vP5cMjIZXH5tOx992qluIwhwxaV6rr0yhqmTlSiUAlXVQV5728VDjznw9OEQjzPOOCdxkiS9ANBDulPH+ypl1Oc4jidgY1vt/5iccgbzsiO9rLxBO7XWPV2K//uj1VnO7vrXKEhcQkHiIsJiGJff3EV2+UDTGqamrWJFwQ34gy6qzdvxBXve+T3QtIbi1LNZkvc9/CFPrylsfVFj2UGCLodJyacTEoNUm7bScKxIf6ActexEFEMUJi/rkGYua1vfUewP0GDdj05pZFLKGcgFBa3OckpbPu5SP1TZvhm1IoZZGV9HJshpdVZQ0vIReQkLO8Z4A3a2HX2eickrmJd9GTJBgS/ooNrU3REZ7PWp2/s+xozibj1gAPSJ2RQuuQpRDONzmPA62wkFfIRDAQSZHLlchUypQq2PR61PQJD1/5z1Otop2/B0j/3NYhbOo+mvD0aUzIBAUwv+ugbSf3Ublrfe79f2OCNH1hQDl0yZxDd+UcT+j9vY/kYjR7ZYOpphjkW8QQdH2tcjEiYrbiYV5s6amB6lw4/993jtYPek0sgr4TEgwdwbXzpnRnHsGahQDK0a/pzzNBgMMkoOBnA6wkydrsRolHG0uusNKRiE2pogX79Yy5HDQUQR3K4wba1dH34Kg4b42TlDOpee6C0CE/IEsB1okGyu5OVFVDyyXvJUs2lTVFx4ng6TOUxWpsDPb42lviHIPb+Lp+RIgPg4GTf/0MCWHT7eeb9TjvPKy/Q88NfIQ+hoXZAt273ExMiYMVXF9CkqVizRcO7FLQNZuwCwYK6aV55ORi6Dq37Q1ZGRy+GpfyfxzQt1uNwipUcChMIi0yar+N0vjVx4no7Vl7TidEqX7z/OV4CBfjm/hKjSO1OOZDoN8gRDRyQl7PEj03TWTihT4hGGsCnT1xz94fS1sbPu5V7fD4S8fHC4/zTENmclbc7ei/lt3iY21zw9oHOyeOrZXPPUgMb2RjgcZG/DW72+P9DPVWvdQ62194iOiEhZ2+eUtX3e5fUTnYtg2Mf+xne7HdtgO9jlZ4evjV31r/V7ToO9PqGgj9JP/8Pk069HY+g5JVsQZGhik9HEJvf4/kCxt1RSsel5At5eUg7lcsKerm0dwl4fKL50S7IvDQqVjDnnpTLnvFQsTV62v9XE9jeaMNVHR+JbCoIhf7fehienfxrUqbj9kfukN3hCWqm7pmNMnCYdb9BBINypECxVKqxUfGn+cm77mYHv/kCPRhP5xT30eDzBIFSUBfjGue0DthPww9XX6sjOUaBQQkN9iH/8zcEnH3XvJ/OrO2zc9adY3v4wCaslzD/vdfDWa12/2ElLChAU0v2y+0onM++okcyZUScbiC1Ox17Sf+HyYDhrpYZbfm7myeedXPUtPf/5ZyL/vCeBO35j5r/POLnwPB0v/DeJVWdqujgzL7zqIi5WxuvvuKmp7YxMTS1W8vFbqSxZqGb5Eg2fb+y/78/MaSre/F8yapXAd25oZ81HXX9nt90Qyzcv1PHJ516+9+N2TObIH21CvIz/PZ7EssUa7v6tkVt+PrCF0peRrDt/gfXjT9EVT0Y3dQphvx/Hxs1YPvyoY9F+ch0LQPy5q9DNmkHDXyNND2VaLbn3/Jm63/8J4+pV6GfOAEHA/vkXWN7/oOM4ZUoK8V9bjbaoEEGtJmSzY/9iA7b1nYsnQakk+eor0U2bCsEg7sNHML36OmFv5DuhTE7CeO4qNAUFyGP0hGx2HFu2Yv34ky6fLXb5UmKXLkGRkEDY58Pf0IDp9TcJtHT2IomZM5u4c85CmZRE0GLFsWVr5FyO93ERBOJXnYNh6WJkKhXuklICbQO/D33ZMJw+B/e+cvxNJhIvO5OgyY77YKQGw1tRT+wZ83Dvr0QAkr573pCEAfqaY5xxAHxOMyXrHmLCvG+SkDNDcvt+t42GAx/RWrmdvnYCvUfKif/m+VjfXkvY60Wm1WD8+nl4S8aGzO04fROfrmHVDXmc86M8KrZb2P5GI3s/aiXgHb0NzikpZ2Ny1+AOWBFFkThNGnkJp1F/Us1MojaXHOMcTO4ajJpM0g2TOdT6Ucf7leYtFCUuwxOwY/M1EadOZ4JxHofbuj4nRTGMO2AhI3YqDn8boigSEgO9RpqjzSnlzNx/j4P76Xmn44G/O3rt8XIcuz3M5Jy+F+effezls48H1ghz904/F63ue4EipYpZ0OXDcbi51/fN22souH65ZPMlr5gouTMD8PKbkXS9Dz6OOBGiCM+/FHlt646I55+X0/Wr6faI3P9Qd3nNQ6UBXn7DzXXfiWH2DFWvzow/EHmwTJ6o5J2XUoiJkfH9m9p5e427yzitRuC2G2Px+kSuu9nU4cgAmC1h7viNhe2fpnPVt/T86vcWXO6v7m574je/gfmdd7Gs/RBN3gQSL72YgNmMc/uOQdtK+e41OHftxvbpZ8hjYro0d5THxZJ+6034GxppefJpQjYbyvR0ws6uN83Y5Uuxfbqexn8+iMJoJPnqKzGeczbmdyK7wWGfj5DVRtuzzxOy21Hn55F8+WX4GhrwlEYK5DWFBSRceAGtTz2Lv7kZucGAtqiQkLVTBlk7eRKJ37oU0yuv4autRZmSQtLllyHIZVjXRW74MfPnEXfWGZhefR1vTQ3aSZNIuOBrBC0DL77+MtH6n7dIumY1qtw0/PWtNN//Usfv2PT8h6TccBE5999M2OPD8tYXyA26Lsen3HAR+rmTkOk1CHI5+c/8hrDbR8tDr+E5VN3vHOOMc5yA10n5xmcxJOeRXrySuPRJyORDXwqFQwHsLRW0V+/CXHegx7Syk7G88jZJ37+S7H/8ibDXh0yjxnPoMO1Pvzjk8xhn5BEEKFoQT9GCeC6+axK7329h2+uNHN0/uGaxUiAXVBQnn4lSrkMUw3gCVspNG6k7KaJaY91JgjaLSUkrCIWDVFu20WDvjKAete5CFMMUJi7pkGYuM31Bvb17CueBlvcpTj6bJTnfxR/yUm76okNIYKQZUWfm4TV55BdHCux+d10d2z49NVQihopCryZ+rnQpZuYdR/vM03RVt+Nrc6BONkgyX/KyIiof+bz/gYPAbAnjOiZlbbaEEUVoaAriPaYW53BEFh863cCjWfWNkUiNIab31EKHQyQvV8F7L6cQb5Txo9tNvPqWu9u4BfPUxBtlbN3ho629+0Op9EgAr09EoxaYPlXV4Xx9FfGUlePYvBWAQGsrmoJ8YpctGZIz4ymvwL4hUlB8YgQEIHbxIhBFWp94irAvcr17inL4auuwrI1EcwLNLbh27UadN6Hj/ZDdgfnd9zp+DrS3E7diGeqsrA5nRqZSgQghu52gyUTQZMJXU9NlHuOqc7Bv2Ihz1+6Oc3Fs3oJhyeIOZyZ26RJcu/fg2La94zNpJ09CmdQ1xD9SyFQKdDnx6HIS0abFoU4xoE6OQRmrRWHQoDCokasUCAoZglKOGAoT9gQI+YKEvAHC3iAhrx9fmxNvkw1Psw1vkw1vsx1vi73PSEr19+8BwL2nZ4W2oNlO41+e6fKabe3WLj+3PvJmn5+vvznGGedkHG3VONqqkSvVxKVPQh+fidaYjsaQiFypRa5QI1eoEBERQyFCQS9Bv5uA247XZcZja8FlrsfVXttjU86+CDldtDz4GIoEI3KjkaDZ0mXDZCwhUyvQZcWjzYxHnaRHFa9HlahHlaBHFa9DrlUiUyk6/6kjy8pwIIQYCEX+GwwR9ocIeQIEbG4CNg9+q4eA3UPA6sbbbMfTYMXbbBvTtSh9oYlRsPiyTBZflklzpYvtbzSy4+1mHKaRUfo60LJmQOPCYpC9Te/0OabWtqdDuawvLJ4GNtc+PaB5o80pFZk51UhcXCBZQT6AeVtV/2N2HiV99bR+xw0ETWossZPTsPcRDRosjhPqTMLhyD+ns/PmdbysoCdhhbxcBVdcqmfRaWpysxQYjTI0GgGNOuLEnJwbeiKCAK89m0xaqpzf3W3lhVd77iMxeWKk6GrhfDXOxr4d0QTj2MgVHS0CzV2/F76GRnQzhtZ40VfTsyY+gCorE19tXYcj06uN2q4pmGG3B5m2U51IplYTu3IFumlTUMTHI8hkyDQa3CWdjRndpYdxbNtG+u234K+txbF1O85duxADnYsVVUY6mrwJGM86s9s5CHI5YiiEMiW5w9k5TqCpecScGf2EROJmZBFbnE5scTraLGOffx8nIyjkyAxyFAPYFwn5gjiONGM/1IjtUCP2Q40E7AOLbo8TPTZUPTbap3BKEAr4MNfux1w7OGEEKQiarQTN1hGftze0mUZii9OJKUpBl52APjcBdWrsoO4dx5GrFaAe3BJTDIbxNNnw1FtwVrdhP9SEvbSJgG3s1qX0RFqBngt/VsT5Pynk0Pp2tr3RSMnnJsKhU9NROxUYd2aiiJQqZqIoYt5e0+8409YqyZwZiKTJSenM9BSBDw+gMPqay2N44G/xqJQCh8sCfLHFS2NTCIdTZMUSNavO1PZ5/B9/bSQ9NeIhXfINHY884ehR/SzWELlpNzSFOHCo7x2VdvNXO4VFOMnjFAT6LXIX1KoeXxcDfamkCAMqnhd9ff++kq78NqrUVNpffgVfXT1iIEDmT0/qrSKKmF57A9vHnxKzYD7xq1cRd9YZND34ECGHAwQBmUqF5f0PcG7f3v0cQid+wcWT3hvc7u1gkCnlJMyfQNKSQuLn5aJOGjkJTblagXFGFsYZnb20XNXttH1RTuv6I7hrv7q1ZeOM0xPG81fh3LydoHn00k4FhYy4qRnETcskdkpk00MZ1/dzdCTOSZcdjy47nsRF+R2vexos2EuaMO84imlbFUHnqZERIZMLTD8zmelnJuMw+dnxdjPb3mikpbLnzdRxhs5X1pl5blMhyelKLpp2BI9b+kWpXKciYf4Eyew5Djfjt3ZPizoZy86jhAMhZEqJJJpXFFH52BeS2BoqebkKHvxbPEqlwI0/MfPsS13TE+Ni4/p1ZgC+9d02rr/WwJkrNPz7/kSuvbF7qtLxGpgdu3xcdf1Xt2B7IChTU7v8rMrM7JL+JXq9yLRdfy+q9PRBz+NvasZw2nwEpbIfp6dvdMWTMb/7Ht6qSI2FoFCg6CVSErRasX64Dttnn5N15y+JmT8X26frQRTxNzSiSksl2EdaSKCtHVVG114lyrS0IZ97b8RNzyT9vOkkLS1EoevZURwN9HlJ6POSmPCdRbiq22n9vIyWdaV4m8dmKo3UTLh6IRO+uzgqti27a9n389e+0k2NZ9xzEQmn5UXF9tH/baP6yU39DxwGsWetwLZufVTn6AlNWiwJ8yeQMD+P+NnZyMfQPaMvtJmRNLfUs6cgBsNY9tbRvqmC9g3l+C39r4vGAoZEFWd8L4czvpdDzT4b215vYs/aFrzO6G1yfZX4SjozWfkqktOH0MdgECQtypfMoQAwbRuYKk/IG8C6t04yR0qTFodhYiqOshZJ7A2Fs07XoFQK7Nzj7+bIAORm9/81fuBhO2s+8rBpm48NH6Rx6Td07D0Qy4OPdC3UO1IeWSxPLY7u9+PLgHZiEbFLl+ApK0eTNwH97FmYXn29431vVQ0xC+bjLikhaLWimzYNdd6EQRfBOzZtJnbpYlKu/Q62dR8TcjhRJCYgqNW49w+870bAZEI7aRKuffuRqTXEr16FIOuaKqifOQOZRoOvvoGw14s6Owu5TtvFSbN88CGp3/suxpYW3PsOgCCgSk8DuQznjl0d55x4yTfxVlbhqzmKpiAf7cQiQvbhF4bK1ArSz51K5jdmo8uRtvFkNNDnJZGXl8SEaxbRvqGc2pd34DgyeveTkeDo89swzsrGOCtbctvxc3LIvnQeda/slNz2qUDWN2dHzZGxHWyg5unNUbF9IiGXCwbRw2g46POSSFk5ieTlRafE/aI/BIWMhHm5JMzLpfDHK2n7vIyGN/diL5VerKhql5W8OcaTW1gNmwkz45gwM46L7ixi30dtbHu9kcodlqir9284+t/oTjCKfCWdmTlL9VGfQ0oVMwDTpt57F5xM++ZKSaNCySsmjqozoz8mBtDc2j1HTa8TWL5kAF2bj2G1hbn8e218+m4af7zTyP6Dfj7b0Jnfv3mbD6stTFGBkgXz1GzbeWqEs0cD2+dfoCnIJ+HC8wkHAtg++QzHCcX/1o/WIY81kHLNVaBQ4D54CNNrbxB35umDmidosdD04EPEn38eqT/8AYJSSchqw/bpZ4Oy0/7CSyRddgnZd/2akNOJ7dP1HU3rjiMGQ8QuX4YiKRFBJidoNmNe8z7uA50KLe6Dh2j575MYzzkb41lnIYZDBFpbsX38accYx7btKBITSfj6BciUSlwHDmJ64y2MZ50xqHM+EblWSdY355D1zTkojaObDjIUBJlA8oqJJK+YiGVPLXUv78S8o2a0TysqiKJI6d1rmffY1VH5XeV9fwmWXUdxVrZJbnsso5+QSP4PlkXFdsDhpeTP749IAbptzTqM552N5Z0PoqK4p8uKJ/n0SaScPgl97uiIjowEMoWc1DOLST2zGMeRZmpf2kHbF+WS2f/XVbtIyNQw78J05l2QRkqerv+DBoFKI2f+hWnMvzANU52HbW82sf3NJqzN4zWHg2XcmYkCco1SUmfC22LHWTXwh5ZpcyXc2r04eagkLy+i6vENktkbLIfLItGSRfPVJCbIOuSSY2JkPPT3BDLSBhcBO1Qa4Ee3m3ju0SSefTSJZec2d/SucXtE7n3Qzt2/NfLEQ4lcfm0bB0s7U5sEARYvUJOaIueNd06N8Ha0EP0BWp95rtf3w14vbc+/0O11547IjrJMpWDSv6+j9h8P4inrvX8SgL+piZbHn+jy2qSHf4guV0HzC1909K05EcsHH3bpceOrraPhvn/2OY/70CHchw71OQbAXVLaRTigG6KIZc37WNZ07eY9FKU3QS4j4/wZ5F6zEJVR2ofpaBE/O4f42TlYdh2l/F+f4q7/8klW+0xOSv/2ATPuvqinltrDQqaQU/zr89h1w/8I+74aaSoypZwpv/kaMlV0li2H//YBvra+2ztIhaZ4ItpJhcQsW0jI2jVa2/in+4ZkU65WkHLGZNLPn0HsZOlTWsc6hklpTP3dBVj311P58Hoc5a39HzQAzA1ePnqkmo8eqSZnRizzL0xnznmp6OOlzd5IzNZy3i35rL4pjyNbLGx7vZEDn7QR9H+1a3MHyog6M2OhAbZGJ2PGwug6M4kL8zrkCaWgfRBRGQBfuxNHeSuGohRJ5tdmGIkpTMFZIc3NYbB8vN7DgRI/06eo2PV5Bl9s8qLXC8ybrUatgrvvt3HnHXGDsvnmu27+McPOT34cy0tPJXPG+c0dggD/96id/AkKrrsmhi0fp3Ow1E9rW5iUZBk5WQriYmW8/IbrK+/MDDv2fux4Mdh/X4bhIo/RRORBvUOvuRkN4qZlMvG2M9Hn9dyx/FQnfm4u8564hrpXdlL7/DZCX7KFuXl7NXWv7SL70rmS29bnJlLww+WU/+vT/gd/Cci/flnU/g7qX9uFaUv/aqFS4d69H/duadTTYvKTST9/OqlnTxlTdXOjhXFGFnMfuYqmDw5S+fB6gm7ppJFr99up3W/nrb+WMXlZIvMvTGfq6Uko1dIpmwoygclLEpi8JAG3LcCu9yK9a+pLR8bRPlWRbMU9Z6meVZcaKZ6rJT5JgdsZpq7Sx+fv2fngZSsBv0jAPzhvJiVDyarLjMxdpictR0lMnByHNUTj0QDbP3Ww9iUrdkvfC6GiaRrmLNWTP0VDfrGGrDwVwgnfuzcPTur12Ff+Y+LJewe/gJc8xWzL4JyZ48dI5cxARAhgtJyZYBDO/WYrv/lZHOeeqeX81Vqs1jCfb/Typ7/baGsP8aufDM6ZAfj9PVZmTFVx1koNj/wzke/8KFIXIYpw2y/NrPnQzXXfMXDaHBWTi5RYrGGqaoJ8+oWXF18bVyMZLmFfgNLv/d+IzJX5o3OxbSzFtvXU6LAt1yopvGEl6edNl3xXf6whU8jJvWIBqWcWc+T+dVh29S7TfSpS9d8NxE3PjMpueebXZ2HeVj3gmspTlYT5E8i6aE5UbDuOtFD1+Mao2O4N957hOTKCIJC0rJDsS+cRO2XwoipfegRIXz0N48wsSv74nmRRmuOEgiKHPmvn0GftaAwKZq1KYf7X08mfK219jS5OybIrs1h2ZRYNh51se6ORXe8247KeWptyI4EgigOLl/SmM65QCNz+t3TOvKj3xeTRch9/uL6eG36XyvyVEcnQvppmCgJccXMSl9+YhFLV+zfD5Qjz2F9a+PAVa69j7vh7BmdfPPiFLgzNmZGpFSx54wbkGmlCkEGnj00XP4IYHFyoMaYwmXmPXi3JOUBEGnHbNU9JZm8caTDOzGbWPy6V1OaBX7+FaWvfu5RZd/4C587dWD9aJ+ncg2HSwz/EtrGU5hf6UdsTBKY+dxv1D71/SjgzcVMzmPyr1WjTh3bfOpURRZGjz27l6HNbGeCj6ZRAkxbHvMevjsrOud/qZuf3nx2Q2uWpiNKoZf7j16BKkD6jIuj2s+v65/A0nRoqezKVgrRzppB92Vy0mfGjfTqnBOFAiMpH1tPw9r6oz5WQoWHuhWnMvzBd8vqa44QCYQ58Euldc3iT+ZRtMjoYBvIsGHZk5o77Mjj9wtiOn00tQQ5ud+Nxh0lOVzJtvpbcIjX3PJdDa+PAvMmf/C2Dsy/pfJCbW4Mc2uXGaQsTFy9n6nwdcQly9AYZt/81ncRUBS/8X88yuuvfsVFV2llMpVILXPuzzojFE39rJRjo+UKV7Rt8o6bEBXmSOTIQSVMYrCMD4Kxow9tiR5Ma2//gAaDNjCcmP3lQtTu9cedt8Vx5iYGpS/uukxhn7FJ/9996fH3Swz+k7Y2txMyYQNyiSYSDIRy7Kml4ZC0hV6eYwrSXfopcrwEBqv/4Mvbt3Ys2Uy9fSsI5s1EmxCAcaz4bcnmpuusF3GWNAAhqJTk//QZxCyb2OFfhvd9Bm5+KTKNiwm86nb6WlzfS/Nx6ia6GdGRdMpeC65chyL+aDVkFQWDCdxYROyWd0nvWnnLN8nrD22yj7P6PmHLX+ZLbVhl1TPrZORz49VuS2x4LTP7pqqg4MgBl9380Ko6MoFQQe/ZKdLOmI481ELI7cO89gH3d+i4NejvGCwI5V5xG5jdnf2nq5kYKmVJO0S1noozXR12pztzoZd1/alj3nxpypscy78I05pyXSkyCdJsYcqWMWeemMOvcFGwtPra/1cS2Nxppr/1y3CuHyrCcmUVnG7o4Mi8/YuKZf7R2aYwYGy/n1rvTWbLKQGpW/4v886+K73BkgkGRh3/fwtqXLF1UDOVyga9/N57rfpmKTA7X3J5MVYmXrZ90j/Ts2uBi14bOlKCYWHkXZ+a95yyS9pmROsVssPUyJ2LaXEnmRbMlO5fkFRMlcWbGAvFxMvwBcEWhx9BXncwfnUvbW1spv+NJlElx5Pz066R+axmNT37cMebg5fch0yiZ/toverQRf/p0kr+xkPKfPoWvwUzi6jlkXHc2h6/7N0FH50076YL5tL2xpde5qn77AjKlgqkv3sHRe9/scJpGok5nMMhUCib/YhUpK3tPe/0qkTB/AvMevYqDd70teYrIaNG6voz4OQdI/9p0yW0nLswn8+szR2T3eSTJuHBml+aJUtL43n5a15dFxXZ/JFz2DVTZmTjWbyRkdyCPi8OwfBGKeCOm/73WbbwoisTPzR13ZIbBhKsXIsgFqp+Ibg+h49QesFN7wM5bfy2neFki8y5MY9oZyZLW18Slqjn7hxM4+4cTqNxpZdvrjez9sBW/Z2w930aCYV3Vy2/slPzb8L6dp/7e2q3Du90S4u6bGqg+3L/ErVYn47s/Te74+aG7mnn/BUs3OfZQSOSNJ8w8fk+nXPCNv09DLh/d5HKZSkHiAun078VgeFjSpcNxhHoieXmRpPZGkwfuTuas5aeevO2pgKeiiebnP8db245jdyXW9YfQFWd1G9dXeFw3ORN3eSO+ehOIItb1B5GpFKhzkruM85Q19jlX2Bsg5ItEhEV/kLDXT9jrH1POjDJOy6z7Lx13ZE5CnWxg5v2XEjc1o//Bpwjl//4MV3V0mvEW/HDFl6KPyHF0OQkU/mhFVGy7qtup+Pf6qNgeCLpZ02l96L84N+/Ac/Awzk3baP2/x9HN6t3RrXt58EqI43Ql94oFTLhm0YjOGQ6JHFrfzjM/OchdSzfw0m9KqYhCT5mCeUauuGcKf9qwjMv/XEze7K9WmvKQnZn0HBWTZnYuBl94qPcbdCgk8trjpn5tnnlRHDGxkXSS2gpfn7UwAG8/Y6a1IbJQSclUsnS1YQBnHj0S5udK2lHXuq+OoGvofU6s++sJOKTTK9flJEiiJjPaqfAyGZy5bNyRiRbu8sYuP4ecHuR69aBs+Ora0eanoUqO3JBjF04k7A/iq+96n5FirtFEk2Jgzv9dPl7E2wsKvZoZ915M/Jyc0T4VSQj7gpT8aU1U5JRlagVTfv01ZArpmjWPFjKFPPJZJFQFPU7IG+DQH98j7B895bywz0f4pHQyMRgi5Oi5jhgijbOj5Qh/lZhwzSISF0Yn2tcfXmeQra838tA1u/njmZtY80AlLZXSigmp9XIWXpzBrS/M4873F3Hm93OJTT51nolDZcjOTPGczsVgW1Og38jL7g39/8JO7P+yca2j30VvOAQbP+iUq5u3PKbfOaKJ5Clmm4cXWRFDYcz9FHIPlsFGZwQBfvvTBBoOTMBWlc+Lj6Wi03aPoN38gziObMnBXZtP6aYcvn9l11qffeuzueZbBp76vxTM5Xk0l0zgmX+nEhc7uK/w+rczMZXlkZos57Wn0gg0FRBoKuCPvxzZHc2ihKWk6gsHNDY7dgYpAxw7Fgh7hi+FaVq7G+feaib/98dMffEOkr+xkJq/vErQ1rXIWYq5RgtNWhyz/vmt8ULefpBrlEz/yzdGbQEiNa6jJsofGlzD14ESU5hM3veXRMX2SJJ33VJiCpP7HzgEyv/1Ke5ac1RsDxTr22tJ+u7laCYWoExPRTO5iKRrr8DxxWaUqcko01JQpnVXI617ZeconO2XDAGKf3kumrTRjVxYmryse7SGe87fyv2X7uCL5+pwmqR9nqXk6bjgp4X8/rMl/OCRmcw4Kxm54sspjznkbY/ciZ2eXs2R/qMHlvYgTluImLjed40Kp3d2cq8oGVhEoeJg57jJs0dvt12mkEue22sapjMDkVSz1LOnSHA2EZJXTKTmmS0DHn/1ZQZ+frORm37ZxpYdXs5eqePuXydS19C5K3XDtXH87qcJ3HpnOzv2elkwR8ODdyehVAr85+nO4sx/3Z3EA4/aWPK1BrIzFDzz7xTuvC2eX/yx/6jfcb727SY0aoHmkglcdUMLa9ZFFsf+QcqGD5eC+IXU2w/Q4qrod2x27CwEQaB1AGO/TGgnplP1m//hPDBMqd5wGERgDBXVa1IMzH7gMtTJoxtNPlWQqRRM+8OF7Pv561j31Y326QybpvcPED8nh5TTpU8tzL50HubtNVj2nJoCK/Fzcsi+RPq+PAAtH5fS/GH/TXGjTdJ3LgeZDN3MaV1e104v7vLz0Rt/1uXnlk8Pk/e9JeP3jWGiMGiY+tvz2X3TC2NCDazuoJ26g3be+ls5k5cmMv/raUw7PRmlRppnlkwuMHVlElNXJuE0+9n5TjPb3miiqbz3SOCpxpCdGcMJTom1fWD553Zr386MMbHzdMytAwsBnzjOmDh64fX4ebkoJExvcVa04W0dfpMk8/Zqwr6gZOF6fW4i+txEXEcH5kDc8N04Xn7LydMvRj7LkQobZ6/QUZjXKQbx69vjue9hK/97PTKmrDJAXq6SX98e38WZ2b3fx+/vjeyolZb5eekNJ4vmaRgMLneYUCiyM+H1ijhdY18AIBD2EKf+8qUhHVfsEmTdb9jKlDjUaQkEzMP/GxCDYXxNZhLOmI63pgVECHv9BMyjcyNXxmmZce8lY3JBIoZFxEAIQSXvVY5/tBAUMqb94QJ23/Qi7nrLaJ/OsCn7xzoMk1LRZhilNSzA5F+sYucPnpM0zXgkUMZqmPyLc6PSW8ldZ6HsgY/7HzgCHL2pZ+GT/hCDYepf301BlGqJJEGEcCCIIJMhKMbOBtLJGCalkv616TS+K03zUikIh0RKPm+n5PN2NDEKZq5KYf6FaRTMj5esf01MgoqV381h5XdzqD1gj/SuWdOC13FqNywe8gpXo+u8sj7fwBaEPk/vHrBMHpFNPo7fOzBv2evpnFtnGL0/nOQVUqeYSbMLH/IFseyulTRqlLy8CNdzA3NmivKVvPhG1wVpyRF/hzOTnCgnNVnOzr1dH7o79ni56454MtIUNDZH/sh27u0aAbTYwoNOMzsVEZAhF6TPHR8t0q5eSfJFC5GpIp9pwm8uRQyG8da1UXbz4wAELU68dW1MfvRGILLI9jdZaHrmU2ybDw96zroH3iXzR+cy6f+uJ+jw0PzsZ5g/GfmHmEytYMY9F6HLHvnUMjEUxnXUhLOsFVd1O752B95WB742JyG3n7AvSPgEYQSZSoFMrUAZo0adEos6xYAm1YChKBXDpNRRccYUBg3T776I3T9+4ZRbqJ9M0O2n5M9rmPOvb0u+6FMnG5j4k7M49If3JLUbbSbdcQ7qJOnTxcOBECV/eo+Q59RvNti45gC5Vy+UdPN0IISDITwNVtxHTbjrLPhNTnwmF36TC1+7k5A3QNgfjNQiHVu+CYKATCVHrlejTtSjSoxBk2pAn5eMPj+JmIJkSVtZDJa8a5fQur6M4Bi8l3idQba93si21xsxpmmYe34q8y5II32idH8fOdNjyZkeyzd+MZH961rZ9kYT5dvMo17XPBSGvEI60TE50QnpC3kfgZNwCHyeMGpt5Kau0gzMpkbb+RBwO0Znl11QyEgagylmx2nfVCGtM7NiIjXPbR3w+JP/Lvwn9PXRHvs9CydtxR3fhXCfIJ3sdJ2Cf2HDRKMwEKdOwxeStkgwWhy58dFurzW/8EWXxpbNz63vs8eLoJBTdN+12LeVU/OnVyO7fEo5xqVTyPnpNzj4rb8jBkIDmus4rpI6ym55fCgfSVIm3nYWhknSd4LvDXe9BdPWKkybq7CXNg2q6Pn4wiTo8PbYi0MVryNh/gSSlhYSP28C8igUa/eENtPI1D9cyP6fv97F+ToViXSf30DBDdLvtCcvn0jauVNp/mD006oGQvrXppO0NDq1gZWPrMdZ+eVoKxBy+2l8dz85l8+P2hzhYAhnRRv2kkbsh5pwVrXhabAihga3xhJFkZAvSMgXxG92wUky6zKFnNipGcTPzSFl5SS0mUYJP0X/KOO0TLhmERX/jk4Nm1RYm7188t+jfPLfo6RPjGHeBWnMXp1KQubgMlN6Q6mRMfeCNOZekIa5wcv2NxvZ/mYT5sax5+T1xpCfPk5b50MkLmFgZgzGvtPALO0h0rIjzkliysBsJqR2jrO0j06YLH52DgqDNF8qAF+bQ9LeCu1bKpkoipKljejzktBlx+Ou6z/Vo7ImwMwpXXeQiid2Kr7VNQZpbQ8xf7aadZ93FnfPn62hrjGI1S69gxoKRxTVFCNYCGdQJZMbN6fLa/HaTKYlr+r1GIVMTaIuF7lMSYPz1FiQSIE2LwXNhBTKf/oUYW/nTqpjZwXp3zkdhUEnSfrZSJNx4UzSzpGufq03Qp4ALZ+U0vj2vqj2hfJb3DR/VELzRyXI1ArSzp5C5kWz0U9I7P/gYWKcmUXe95dQ+Wh3x/VUo+71XRhnZ0dF4KDopjOw7W/A02iV3LaU6LLiKbxxZVRst31R/qXrv1P/xm6yLp6DTClNar0YFnEcbsa8swbLrlocZS0jovYWDoaw7qvDuq+O6ic3ETctk4wLZ5JyxqQRS3PNOH86R5/feso06G0qc/Lu/RW8e38F2dNimXlOMjPPSSE5V5oeRAmZGs69KZ9VP86nfKuZra83sn9dG0H/2E7JH7IzU1vRmfKTW9R/uFOrl2FM6nu6I3s9pGVHQo5F0zVs+rD/BUvhtE4nomz/6HiR0qeYSatAFrB6sB9qJG5apmQ2k1dM5Ojz2/od9+izdv51dxJfbPWwdaeXZQu1nLFUS0tbxBkWRbjnQQt/+HkCR+uC7Njr5bTZGm69Po6f/DY6MpSBgEhldYArL4lhf4kPEXC5wjS1RHeX16BOJlad2hGF0isT0Cv7V1GzepsoN22M6rmNJfzNVsL+IEkXnIb5430gimiykki7ZiWeiqZT0pGJLU6n8McrozpH0OWj9sUdNL69l6B7ZFXewr4gje/tp/G9/SSclkfBj5ajz42uU5N16VzaN1ViO9gQ1XmijgiH7/2QeY9dLXmKlVyrpPhXq9lz28uD3lUfKQSFjOI7z4tKupG32c6R+z6S3O5o4ze5aPm4lPTV0/of3AtBh5f2LVWYt1Vh3lU7JlKtbAcbsB1s4OjzW8n77mLJ11Y9IVMpyPjaDI6+0P96ZqxxXDjgvX9UklaoZ8qKJIqXJpI/Nw65cnipq4IAExclMHFRAi5LgG1vNLLxhfoxG60ZsjNTuqfTi03LVpJTqO7i4JzMzEX6fguYtq93suKCiCTvstWxPHN/W5+5ezI5LF3Vmbe9e2P/qTiBQFeD2hgZnmF0gRfkMpKWSBsaN0lUL3Mi7RsrpHVmlg/MmXn6RTt52Qr+9ttEdFoZb6918ZO72vnFLZ01Aw/910YgIPLbn8aTnamgtj7Ir+82d4gGRIPv39bKv+5JYven2ZgsIX57j5lnX4nefA5/G1vqn0cp05Ckm8DM1POxeptodvZe/xESgzj97Vi8p/hibZAEHR5q/vQKaVeuIPWyJQhKBQGTHcfuSpr/d+rtxCuNWqb+7vyo9f8QRZHGt/ZS89zY2F00b6/GsusomV+fSd61SyTtvXUigiB0FLqHvKd2LUTA5qH07veZed+lCDJpd6Rjp6STe/VCap7eLKldqci7dgmGSamS2xWDYUr+vGZYvdrGMnUv7yD93GmDEksIOLyYNlXS+nkZlt1HEYNj08F115o59Mf3SFyUz8TbzopKHdWJZFw4g9qXd4xZh38gNFe4aK5w8ekTR1Hr5OTPM1Iw10j+XCO5M2KH5dzo45Wc8f1cVn43h70ftrLu0RqaysaWEpogigMr9ekp5PfQO3kdkZH179r56629L7rufSGXGQs7w2C/u66ObZ92vRgKpcCzGwpJOJZi9tBdzbz3v95TmS76XgI//E3kJmhpC3L10gqCgf4/zlsHJ6HRRX6xv/5uLbu+GHo9QvzcXGbee/GQjz+ZkNvPposekTwXXJthZMFz35PU5rZrnsLTcOqrCo0GK3Kvx+Q+ysG2D4dlxzgzm1n/uFSis4pw4NdvYZK4P9FXmWl/vFDyDY/jeFvslN69dsxGJ3RZ8Uz9/QWSNNvtjcZ39lH24CdRsz+STPjOoqh0KBfDIntvexnbocb+B48gxplZzLz/0qikFFX+53PqXt0lud2xxLQ/fZ2kxQV9jhGDYUzbqmhaexDzjpox68D0hjJOy7Q/XijpZmxPHPrDu7R9UR7VOUYKTYyCvDlx5EyNJbVAz+SlCejipIt8iiLs/6iV9x6opK3G3f8Bw56v/3X9sOJQL/+nU9Fq5QWxXHN7MrKTNh+1Ohm3/DmtiyPTG8GAyCN/aOn4+Ybfp3LB1fEIJ52lTA7fuDaBH/yqczfn8btbB+TIABza1bl7+b2fpRCXMPQd08E2kewP0/aaqBS1ehqtkncPTl4h7Wf/KuHwSVcTNc7YJWlxQdQcmfZNFez8wXNj1pGBiADB7h+/QNvnZVGbI+OCmcRNy4ia/ZHk6HNbse6rl9yuIBMovnM1iihFyYaCIkZN8a9WR8WRMW2rpu61L7cjA5HoTG+4akxU/udztnzrMQ7+9h1MW6pOOUcGIlHLfXe8FtV7CEDS0lN7PZM5OYZVN+Rx24vzuHvrcn746CxW35LPnK+lSurIQCQFbeaqFH757kIu+tVE1PrRa4tynGHJz2x4386GtQaWrY6khl1xcxKrLjNycLsbtytMQoqCafN16A0yasp8NFb7WbyqbznPDWvtvPSwmstvTEIuF/jxH9K44qYkDu5047CGMRhlTJuvI/6E+ps3nzTz6dvd1XZ64+2nzcxdpgegYKqGJz4t4OB2N+bWICqNjJg4OUmpCt59zsKHr1p7tSPIBMnVV6RUMTuZ9s2Vku6QpqyYSO0L2yWz91WixrYTgdG/AYwW6rxc0n52E/76Rpru/udon05UkGuVFN1yRlRsN76zj/J/fTqgHavRJuQLUvLnNUwOhkg9s7j/AwaLAPk/WM6eW1+S3vYII4ZFSu9+n3mPXY0yTtom0Jq0OIpuOYPSv34gqd2hMvH2s6Mi7+1rd3L4bx90l9H8EmI72IjtUCNxUyPOvBgK076pgvo39mA7MHY3OQZLOBii5O73ma5TkTB/QlTmSDxtAoJcdkqlmmVOjmH2eanMPjeVxOyRbxovVwisuCabmeek8MrvSin5YuANzKVm2Fqaf7utETEMy78WcWgSUxUddS/HqTzk5Q8/rGf5+bH9OjMAT9/XRntzkO//IgWtXkZ8sqLDYToRrzvMs/9s440nzIM65+2fOfnfv9q58pbIwj4mVs7Cs7qfV399a+JmZKEySqMgAZEbkWl7tWT2TqZ9UwW5Vy6QzF5MYQraDOOYV8oZi5g90u++jjO2yLs2Op26j/5vG9VPbpLcbjQRwyKH7/kAQSaLStf7uGkZJC0uoD2Km0Ejha/dyeF7P2T6n78hefPI1LOnYNpWTetnR6Q1PEjSVk0lZaX0xd1iWKT0L++PidqxkaLu5R3ofrqKpjX7aXh7H762U08gZSCIwTCHfvcOcx6+MiqKiQqDhrhpmVj31UluW0riUtTMuyCN+d9IJ61QP9qnA4AxTc31j87ii+frePveCkKBkXcIh+3MBAMid9/cwEev2Vh1WRzFs7UYExW4HGHqKn2sf8fOB69YCQZE6voQCDiZ9563sOkDB+debmTB6TFkTFChM8hw2kI0Hg2wY72TD162Ymkbmnzgcw+0sXuDk69dGU/xHB2JqQpkMnA5wphaAlQf9lG6u+8bYorEShu2Aw1RVRRxHGnB1+aQdIGVvLyI2pd6D3WPM85XkZjCFDIvmi253aY1B045R+Y4oihy+O8fostJIKYgWXL7ed9fGkmlOQWiVf1h2lpF/eu7yLpkruS2J952FraDjaO26NVmGCm6OToRy5pnt2Dd/9XaKGrfXIn5W4+NiJTyaBPyBSn9y/vMefgKyWSpTyRxUf6YdGbkCoGpK5NYeEkGk5cmIpNLu8txdL8dURSZMDNuWHaWX5VN9hQDT9x8AKd5ZBU1JetytvNzJzs/71vdYNunTs7NLx2wTUt7kBcfaufFh6Ij0Xtol6dL/cxgEATpU8zaN0V/V7F9cyWZX58lmb3k5RPHnZkhYlAlkR+/kARtNiq5rlvj0JP5oPK+ETqzcYZLwY+WS65KZdpWTdkDH0tqc6QJ+4Ic/O07zHv0KhQx0nYw109IJPWcKTR/+OXoyVT1+EbipmdJrvR1vFZl3x2vjrjjJ8hlFN+5GrlWehlmy55aagegsPmlQ+Qr4cgcx1nVFpFuvnaJ5LZjp6RLbnM4JOVoWXRpJqddlI4hUdp6N587xO41zWx6sYH60sjGRvrEGBZflsm8C9PQGobmHuTNMXLL83N5+Hu7sTaPnJLg8ISov8LETc9ElSBtiG8kUiTaN0or+2yYlIomrXsK4Dh9E6tOYWHWVaTHTEYt1/fryHxp+RLsop9M3NQM4mfnSGrTZ3Jy+J61iOFT/3p5m21U/XdDVGxnXyp9JGO0CAdDEWnhKPQMMs7MIjuKHeR7Y8I1i4gtln7B6Le6Kb1n7ZciKjdO/9S/ugu/aegqtL0RU5gi+SbUYJErZcxencqPn5rDrz9YzJnX5UrqyDSVOXntT0f43YqNvPzbwx2OzPH3Xv/zEX67fAMv/KqE6j0Dr0U/kZQ8HTc8MVty4YG+kCwyM9L86Kfx7NrqZcfGSGTlOzfGce3NRhpqA9x1cxtVZdHtOyC1ipmruh1v89C+OIPBuq+eoNMn6a5o8vKJ1L2yUzJ7XwUK45cgFxSYPEcpN2/E5TcTEqPbtHMsIobCyHRajBeci27mVGQxMYQsVlzbd2P76FPEQNcdR1VuFum/uJVASxuNf7i3mz1BqSDnwXsAOHrjz469KJD5x1+hSIyn+e8P4as+2uO5xJ6xnPhLLsC99wBtjz075M+Ue/XCIR/bIyIc/usHBMZAUzupaHrvAGmrpkq+sNXnJRE3PfNLU/zsabRS9o91TPnN1yS3nffdxVh2HcVR1tL/YAmIm5ZJzhWnSW/42N9HNBa344xNQr4gR/+3TXKBFblagS4nAVfNyBeyp+TpIlGYb6Sjj5fWCQj6w+z7sJVNLzdQtcva7/iAN8z2t5rY/lYTaYV6Fn8rk4UXZ6DSDjy1LzVfzzX3TeXR6/eOyJ7lKRuZOfebejyuSJHRlJlqfvATI3/5eTu7Nnu57a7+u6oPCwGSlknrzIxU4aoYimjOS8lIdOn9shGvzSQQ8rC7+S2s3iYCYR9hMdjnvy8jglxG2k9uJGbRfILtZnw1R5HHxxH3tbNJueF7IJPgFiWKOLdEVPdiFve+G62fH6lxcW3fM+SpDJPSJFfbaVyzH8vuWkltjjaiKFLx7/VRsZ154cyo2B0tWj87QtPag5LbFRQyiu88D7k6+nuaCr2a4jtXR2XXu/al7Zh31AxobFxMFrMmXcGKub/grAW/5/T5v2bRjB+TZDy1ZXm/ijSvKyHkkX7T2jBR+gauvaFUy5h7QRo3PzeXO99fxOnX5kjqyLTXenjnvgp+t3Ijz/380IAcmZNprnDxxl/K+MMZm/jwkWq8zoGvRSYvTWTRZdHtD3ScU9aZSUySc7Qy8kX+9nWxfPCmi3XvunjqIRtTZkmbi30ycVMyJO9IOxL1MtGaK3ZyGpoU6VWbvszIBSUOfzuh8KnduXy4qLIzEQMB6n/zF5r/8TAt/3iExt/fS9BkQTO5CMNyaRoIOjfvgHAY3dxZCKruDwtFShKq3CzCHg+egwOv6zuZCddIG5UJuv3UPDUynduTi+K48aPz0CdG9/55HHtpE9a90hfbJi0vklRlcixQ8X+f4joq/W6xLjueghtXSm73ZIpuPRNNqvTpyLZDjVQP8O9Dp0lk3pRrSY6fTFgMYbHX4HA1oVTo8AfGRlTHoEsjRjdyi+lTmZDbT8snQ79X94YuCkppJ5NWoOeiX03kD58v5ep7p1IwzyiZ7XBI5MAnbfznuj385dzNfPrEUVyW4a8zXNYAa/9Vxd3nbWXP2oFHc8+7JX9E+tCcss6MzRImPlFOUqqclat0vPasHYik4CuV0c15lDoS4Te5cJQ1S2qzL8zbqwkHpE1pSl4++Gui0in488Gv8eeDXyO16KvlDHmDThSysdPAbjQxv/oOYWfnYiJotmB9+30ADMsXSzJHyGrDc+gIMo0a/ZzuO/fHozLu3fsRg0OLgulzE0lcmD+s8zyZ2he247dGv8MyEJEBFka2jKn2Ren7VMkUctLOnSq53dEk5AtS8qc1hH3SR2gzzp/Rbxf54ZB6VjGpZ06W3G7Q4aX0z2sG3BckI3k2MpmSdms5G/f8g12lT7Oz5Em+2P137K5Gyc9vKEwp+Do5adJs4HwVaPuiXHKbmijI6QMoNTJO+0Y6t74wj1++t5AV12RLWlNia/Hxwb+r+cOZm3jipv0c3mSOyr3c3ubjmZ8c5JmfHMTv7X8dGZOgYtEl0Y/OnLLOzNo3nPzzmVQefTWdbV94OHwgUiSZV6SkrTm6KTmSp5htqRzRBl8hT0DytJXxVLPB0eIqw6BOIVadMtqnMqqI/kCPNSyeg6UgiijTUpDFSCO04dgUUTrS95Bqpp93LMVs2+4h209bPW3Ix/ZEwO6l/o2hn89gaSuz8fDZ7+M2j5wCjXnnUTwNVsntSl3TOBZwVbdT8fD6qNie9NNzJBe0AdCkxVJ065mS2wU4/PeP8LYOXF5ap4mkn7dZDiOKY68xolKhxaDPGO3TOKWw7auXPNVM6t5gGZNiuOSuSfzxi2Vccc8U8mYPT/74REQRjmw28+TN+/nDmZv44KEqbC0jc//es7aFf125C6+j//X2okuj/72OSrKsOjcXdXY2Mo0GQeg9SmJZt27IczzydwtV5QG0WoG1b3ZKQsfEynjm4egV0scWp0ueUmUahUZv7ZsqSFyQJ5m92OJ01MmGL23DLqmpsGwmQZvNvPRLOGL6nGZX2Vcy5SxktfUYCgh7fYScLuSGGBSJCfidw08D8RwsJWSzoynIQ5GcSLAtkrajyslCmZpM0GzBWzm0prWCTJB897nxvX1R2Ykfa7R+elhy0QTDxDRUifovXVF443v7Mc7OkbzhpDJOy+Sfr2L/r96QbGNNkAkU/+o8FDrpI9D1b+yhfdPAlTkFBOTyyHmEQiPb/2KgJMYVfHVVLYdIOBjCur9e0rWMOnn4JQQqrZw556Wy6LJMcmdIn17psgTY9mYTm1+up7129BrE1pc4+O+P93PjU7P77H2TWqAnJU9Ha3X0sgwkdWZkajWp3/se2sKB9V8ZjjMTDkeiMyezYV10UzKk3vGLRpRkIJg2VyLeflafzuagECB5WdGI7iSfyhTELyQY9qGS65iespppnIsv6CQk9u7QbKh9cgTPcGQQg71/XtEfeU+mlmgxFA7j3LKDuHPPJGbRfKzvfACcUPi/Y8+Qc6wSTsuTdGdbDIZpfGtfn2OmrM5m0Q8mE58dg73Zzb7Xq9n+bHmHfPP33zib7c+UkXtaCkWnZxAKhKne1MxHd+/F54xcW2O2nu/87wxUegUyRSRQ/+L3v6B2Z1uXueZdWcjcbxcSm67F1uhm29Nl7Hs94vilFhv57ktn8tRlH9N6pHMjKWVSHNe+chbPfPtTmkssvX6Olig4MwiQuCCfpvcPSGt3DFD2j3XETk5FkybdDi9AwvwJZF00R7J7eO5VC4mbJv2OrKO8lapHv+h3XIwulSn5F6JWxaJWGhCEyPd7WuHFTCu8uGOcyVrB7sM9qRcKZCTPJDNlHjG6VGSCDLfXTLPpAEebthDuYfNJJlOSljiNlIQpxOozUCn1hMNB3D4zreZSjjZu7LJpFR87gdz0xRh0aWjURgAyU+aQmTKni93qhs+pqPuk4+dYfSYLpv8Ql6edzfv+1cN5KDjztN8CsG7rb3t8r8V8iP1lLxOrTyc/63SMhhzkMhVev50W04Eu8w3nmkQbZ1mLpM6MKikmknI7hEdB1hQDiy7NZO75qWhipI8VVO+2sunlBvZ+0ErQPzaiixU7LGx8sZ7lV2X3OW7iooRTx5mJX7UKbWEhYa8X5969BC2WiNcRBX7/zyTee9XJri3eEc3xltqZMe+skbx+ZSD4LW7sJU3ETZXuYZO8YuK4MzNA8o0LuvwsIKBRfLXqhgAEZe85w8IxJybsG/hOqqDq2/FxbtpO3KoziFk4D+u7HwKgnxupoXFtH0aK2TlThnxsT5i2VuEz9d6EOG9xKqvumsOHf95N00ELCRMMrP79XGQKGVv+e7hj3Nm/msWO58p57qrPMKRpueCe+Sy+fjKf/SOyyLfWuXhw+bsAxCRp+PEn3SWA51xewNIbp7Du7r00HbKQMT2Bs381C5lCxp6XK2kptdK438ysS/L56C+dSnDTL5xAe6W9T0cGwF1rxl1nQZcdP6hr1B+Ji76czkzQ5aPkT2uY/eDlCAppM8Xzf7AUy55aXNXDa1QdOyWd3KsW9D9wkITcfkr+9B7hYP/PTFEM4XS34XRHHPPEuHw0aiMWezVub+d30unpXswsCDKmF15CauI0QmE/TncriCIxulQKs88iJWEKu0qeIhjqmtKTkTyL4rwLAPD4rFgdR5HL1Rh0aRiy0kiIzWNnyVMcXykLghx/wI3JVkWMLpm4mGxcnnasjq4bnNGo6VErDcTHTmDO5KsJBL04XM0oFFpidCkoFd0FNIZ6TaKNo6JVUnsyhRy5VkVogP2d1Ho5c89PY9GlmWRPlf4Z7nUG2fVuMxtfaqCprO/G9KPFh/+uZsm3MpEre78f5UyLbj9CSZ0Z/fTphH0+6u+/n6DZLKXpHvnbYynYrWHWvObk/dedNNZFNyXDMFH63bDRSDE7TvumCkmdmbipGagTY/pchI0TYUv986N9CmMCudEYkV8+adNDptEgP1YrEzSdcC85VuwrKHu+dSkS+l4QB01mvIfL0RRPRDOpEDEQQG6Mw1/XQKBpaP02FAYNiRIXULd+dqTP95f8sJjdL1VS8n5EDcxS62Tva1XMujS/izPTXGJlw79LAGivslPyfh2ZM3tW6wkFe94VWnx9MdueKuPQmsgCy1zjwJilZ8n1k9nzcuT+tfulSs759WzW//MAfncQmVxgynnZbH+mbECf17qvTnJnJn5uLjKV4kvZHd1+uJmqJzZS8MPlktqVqRRM+fV57Lrhf0PeZJPrVBTfeR6CXPqS3CP/WDfgGiuXp52Sqrc6fp416Qo0aiMNrbtpau876pmbvoTUxGmYbBUcKH+NQDCyo6xU6Jg58VvEx+ZRlLuK0qp3uhzX1LYXhVxDi+kgHl+nwxSjS2X+1OuIj51AQmweZnukPYLZVonZFvkbyklfRFxMNlZHbZfzjhY6TSLTCi/hSM1a6lt3cdzBUip0KOTdN4WGek2ijTsKKn9ylaJfZyZnRiyLL81k9nmpqHXSq3U1HHaw6aUGdr3bjM89tnvQuawBSr4wMf3M5F7HpORHV2FSUmdGHheHp7x8RByZ39/ejlIlsHCFljPP0/HMmgzKDvl571Unn6114fVIH66RushdDIuYtkrb82UwtG+spOB6CR+GQkQWteHNwffpCAdF8uYlsux7+WRNN6I2KHGZfFRtN7H+0XLaa3rPfZ+8MpX5l+aQNd2IJlaJx+andq+FLc/VUL2z+43upx+dgbXRw3M37eDSe2ZRsCgJ01EXb/3+APUHrJxx40QWXTkBBNj9Zh0f3H+4x87rqUUGln43n7zTEjEkqQl4QzQfcbDn7Xp2v13fZ7d2m2/k1OvGMoJSgaaoAO+Rrqo02hmRSEegqaWL0lno2P8rjHEIajWir+suoHZ6cb9zOjZtQ1M8Ef3cmYS9keOHE5VJWpSPTCndwyzkC/Z7X0guiiNzViILvz+p23syhYxwMOL0NR3qGhXx2gOoDQNX0NHFq9Enqmk61PWe3nTQzJIfFROTrMHZ5uXwR/Wc8dMZFK/OZt/r1eQvS0NrVHHovYGl0Fr31JFx/owBn9dAkKsVGIpSsB0aG0pVUlP36k7iZ2eTcJp0KTYQaTya/4NlQxYbKLr5DLTp0m76ATS9f6BfJ18KZDIlEzKWEg4HOVjxeseiHSAQdHO4Zg2LZtxERvJsymo+IBTuXPSGwgFqGjd0s+l0t9Dcvo+s1NOIjcnocGZGE5VST0Prbupbuza8DgTdXT4zDO+aRBtfu/Sbp7Jeei9pDArmnZ/GossyyZwsbXsOgIAvzJ61LWx+qYGafdFvoi4lhzf27cwYUzVRnV9SZybs8SD6R+5LHPCLbFjnZsM6N0qlwPylGr55lYGf/jGBde+4ePG/do5WSZfDmSyxipntYAMB++h19fY0WHDXmtHlSNdkNHmIzszk01M55/bJIIrYWrwIMoHYVA2zLsik+IxUHr1iE62VXW9aMpnAN/8yk1kXRGT/fK4gtmYPMYlqppyZxpQz09jwZCUf/uNwt/lSCmO44NfTyF+YhChC2qRYrnhgLl88UckZNxbhMvvRJ6hY8p18Wiuc7Hqzaz+M+ZfmcMFd05DJBMIhEXurF328ignzEpgwL4Hpq9N5/qadYyavdSyTcOkFtPzffwnZIvLqisR4jBeuBsCxYUuXsSGrjWC7CUVSIvFfX4351bc76lw0hfnEnrWy3/k8+w8RcrrQTCxEDPghHMa1c++Qzz9+Xu6Qj+0J8/ZqQt7e71uCTECplbPh34c48HZ3JbjjjgxAwD28qIRCE3HSeitMDhyT5gwFwux7o5pZl+Sx7/Vqpl2QS/XmFpztA7u/2Q40DOs8e8MwKfVL68wgQunfPmDeY1ejTpR2YZX1zTmYt1dj3tn9+9UXKSsnSZ5yCeCqMVH+0GeS2+0JoyEbpUKL1VHbY/8Zp7uNcDiITKbAoE/rlhLWG15/5P4ml49MH6eB0HCSI9Mb0bomUhDyBAi6/ZIKTZzszEyYFcfiyzKZtToFlUb6KExbjZtNLzWw/c1G3PZTM5LcUNq3U6mLi25zXkmteyoq0BYUICgUQ+7VMBQycxSs/mYMZ1+gR6sTePlJO0qlwH/fSue+u0x8+PbwFW1iCpPRZhqHf7InMJopZsdp31hBzhWnSWYvbnomqgQ9fvPgrvk5t09m/5oG1v69FKcpslueOzuebz8wl5hENWfdPIkXbtvV5ZjTbyxi1gWZ+JxB3rhrH6WftBAOi8jkAtNWpfON309n2fcKsDZ52PZi14eyzqgiLl3D3Us+QqVTcMtby4lN1bD6Z8U886PtlG9sY/l1BZxz22SmnJ3WxZnJX5DIhXdNIxQUefeeg+x+s64jRadwURIX3z2LwsXJrLqjmDX3HBrKZfzK4Nl/CEVKMpl//BX+o3WIoog6LwdBocB7pBzHF1u6HWN95wOSvnclhpVL0M6YSrC1DXmsAWVGGs4tO9BOmYQ8rvf8XDEYwrV1J7FnrQDAW1rW4UgNGgHi50jrzPQnCCKGRVrLbCQVxOJoia6Sjb3ZjdvsI316PNVbOtPw0qcnYG/24HN0Ol17Xqli4fcmkTU7icLl6az5zY4Bz+MzOQk4vCgN0u7exRQNvwFhfuoyMhPnoFbGIBMiC5lgyMuuyv9hc0ecsJzkBeQknYZWFYfHb6WmdTP1pujXDwasHkrvXsvM+y6RTswFQIDJPz+XHT94loBtYN8xdbKBibefJd05HCPkC1Lyx/dGTNlPr43I5RsNOZy98I99jlUqtN1e06rjyUiejdGQg1ZtRKHQIpcpkMkiy62xpFfm9g4si2a41yTaBGweaZ0ZVeTvfPnV2Sy6NIP0IumjMKGgyMFP2tj4Uj3lW/uuKzwVaKvtu7hfoYpuJxhJnRnL+++jvfVWUq6+mvZXXyXkjF7tRIxBxpnn6znvm3qmzlaz6VMP//qLmS2fewgfSy/ctsHDb+9PksSZGUpTyP5oHwvOzCZpnRlBEEheVkjD233nJJ9MY4mN1+7c1yU16+geC+sfreD8O6eSvzCpy3idUcXSayMNCt/+wwEOretM2wqHRPa/34hcKePiv8zkrJsnsfedBnyurg/DLc/VEPSHCfr9HF7fwrxLcqjdZ6F8Y6RgtPTTFs65bTKJOV1VqlbdPhlBJvDxvw6z49WuC8+KLe2s/XsJl907m9Muy+GT/zuC19n7QzhRm0OsOhWFrP/dunLzxn7HRIuZP5g9bBv7Hu8esXPvP4R770GM569CN2saspgYQlYrru27sX34aY8CIq6dewn7/MSdsxJVVgbygjyCbe2YX30Hx/qNpN7ygz6dGQDnpm0dzoxzGClmMQXJqOKlzQW27q3rd8zGR0r45j8X0V7poOyTBgSZQHJhLIJcGHBq14AQYfPjh1l20xRsDW6aDllInxbP/KuK+OTern/jjhYP5eubOPPnMwj6QpSvbxrUVO6jZsnVrwyThufMpMdPJzdlEdvLn8TtNZGVNJdJGeewofT/CAQji/zspPkUpq2ktP597O5G4vSZTM46D0GQUdc+sJ3v4WDdW0ft89skV4RTJeqZdMfZHPxt/zUQgiBQfOdqFDHSRx0q/u9TXFGoi+gNxbHIiddvx+nuOx3YH+i6gMtMmcPkvAuQCXJcnjbM9hp8fjvBkI+EuDySjGOrH1swNLDI6XCuyUggtaMrO1aT+c07pf99WZq8bHm1ka2vNmBvH5sy4UPB6+y7ricciq5Sl6TOjCY/H29lJfoZM9BNmYK/oYGgzdarolnLM88Mea73d2bT3Bjk3Vec/OqGNszt3S9kyT4/xgRpQoJSp5i5a81RaRY3WOxHmvG1O1EnSbfzkLxi4qCdmV2v1/VYY9J4KJI3qolRoFDLCPoi36Wipcko1XI89gAHP+x50bR/TQPn3zkVbaySgoVJlHzS9SZsqu10cu2tkZt6S1lnnxy3NXKjObG4Ly5NS+Y0Y8T++z2nr9TsjOx2yZUysmbEU7G5rdsYuaBkbvrFJGizerTRE6PqzFwnrTPjqz7K0Rt/1vGz+ZW3ML/y1oBteQ6U4DlQ0uN7LQ8+1u/xxyPHoj+Ae+/BAc97MglzJwz52J7wm124a/vfLa1Y38Trt2xm8fXFLLpuEuGgiLnGwdYnpa8p2PVCBeFgmKU3TOmQZv78XwfZ/1ZNt7G7X6zg8seXs/e1KoK+wRWtumraJXdmdDkJyDXKPtP2+sKoz8bubsDljah7NVkOUJx1HjHqZCzBiNNYkLac6tZNNFkiymkunwmtKp781OUj4swA1Dy7hbiZWRhnDPx+MhCSlhSScf4MGt/b3+e4nG+fJvncAC2fHKZp7dD/PofC8XoPm7OO/WUvD/g4rTqe4rwLEAQ5JVVv0dDadZNEodCMmDMjl0nb22eo12SkkDxqJ3H4TAyLHN5oZuNL9ZR8buqznvZUJRQIEwqKyBU9XzyfK7oiBpI6M8mXX97x/4JMhjo7G3V239rTQ+XWa1rYs63vXYVAQOTn1w9ftk+flyRpXQkwqIZfUUWMpLtlXDhTMpNx07NQGXX4rQPfoWkp7znNx3dCzr9MLgMizkxKQcT5aq10Eu7lxhAKirRVOcmabiRtkqGbM3Ni59rjtS0nvnZc8ls4oRlU2qRO6cWff9p/Z+uYhJ4fKnnG+SRoswiG/TQ6S/AGHUxMWEabuwq7rxWtIpYEbQ4aRQwVls0ctY6u5PWuf3VPGQr5Q2QszCRraTamw+207mvBa/YSDoXRxGtInpZCysxUKt4r59BzfS+GRhrdnMj33b3vYDcRgcEgdb2MvXTgwhCVG5qp3ND7+Ce+2b2P18ZHStj4SM9OYF/seaWKPa/0X7TsP6a6c/CdwUeHvE3SF7wKgoA+Pwl7yeCiRMdxettINU5Bo4rD67eREjeJcDiIyxdxblQKHSqFHru768aGzd1IQdoK1EoDvkD0GwmLYZHSu9cy77GrUcZKm6pXcONKrHvrcNf3nApjmJTGhO8sknROiNR0lj3wseR2+8PliWw+xWgHF9VLMhYhCHJszvpujgyA9lgfGSkQifydyWU9L+G0amkFGIZ6TUaK0WhvMRCcJj9b32hk88sNmBtGrz66L/IzV5CWNLPHfkWDQRDo1ZEBoq7IJqkz0/z441Ka65P+HBmICARs/Xz4OeVSq5jB2EgxO067xM6MIBNIWlZI47sDX8D2lYrVE2p95Kvrd/V93PHUMk0PCk6hYPeIYX+h0ON2xLCIqZ8cUQC/p+c/4NSYIkREtjW8gMMfWRgVxC/C5KmlxhrZzZXLlExLXsWEuHk0OQ4TCI/ezfDQ/7r368hYkMlpdyxk8582UPFeeQ9HQf7qApb8djnVH1Riqxkj6iyCgGFppAeGc9O2oZuRCZJKmwO4qrpH8UYK1bEIpNcxdNGUKauzaa+y07Bv8GlBfkt00lM0KYYhOzP1pl3E67NZVnwzwZAPb8DG3ppX8B9Tc5LJjt9Xuj7Ej/8UGsEmgr42B4fv/YDpf/6GpHblagXFd57H7lteRDzpninXKJny69WS97sJB0Ic+uOaAff6kBKr/SiBoAe9NgmjIWfAxezyY3LG/kD39Hq5TEVCbN+qc+Fw5FmlUPSfqnc8lUutikUuVxEKdb1OScbuKofDYajX5KtKxQ4Lm19qYN+6NkKBr4YIkLIfYYST0/ylRlJnxn24u2pUtBEEkMm7e4O99UwYClI3yvRb3DgGsQMbbSx7agm6fCj00uU7Jy+fOChnZrAcd35U+r6/wsednhMjLsPh+B+kCDx44edDDhfrFEYcvtYORwYgLAa71M6EwgEOtX3E8pwfUJSwhL0t7w7r3KVmxvdm0V7a3qsjA1C1tpIp357GzOtm07RjbKhKGc87G0VyEr6qGrxlQ99U0GbF9yrhOVScVcNrVjgoBMhfnIqlzoVcIWPJDcU4WjyYqgcnhqDUKtAnqkmZGMesS/NY+7td/R/UA4MVDRko6uThNbKL1WWwq/J5zM6abu95/Tb8QRdxugxMjsoTjsnEG7APuCZBKkxbqqh/YzdZ35zT/+BBYJiUSt53FlP1RNdU18KbTkebKW1/IIDK/3yOU+JmiAMlFA5Q3fAFE3NXMa3wYvYeeQGn+8QeVALxsbmolDG0mDpT4JzuyPkaDTkoFboO+WKFXE1x/oWoVf3U8R07PjG2oCMS2Bs+vx2Pz4JWHU9R9lkcqVmLeKxPTHzsBHIzlgzlo/fKUK/JVwmPI8iOt5rY9HIDLZXRuZeNZVTavp0ZlzW6GzvR1UqLIhOnqLjzb0kUFitRnBTaCvhFlk0cnKRkb+hyEtDn9txkbqiYtlYhimMnZ1IMhjFvryHldOl2c4yzslHGaQeshDNYWo5EFlyphTHI5EKPERW5QiA5P5KO1lsa26DnPVZTI5MJpE+OpbFkaNEGmSAneJIWfyDkRSPvWrsUDPux+ZpI0EYnXXM4JExKpG5D/zt09lo7WctG9/xTfvRdBKUSRWICipQkRL8f0wuvD8tmTEHvmvpDZSQjM4IgcOYvZhGXriMYCNF8yMprN28iNEg58dTJRi59eAlBX4itTxyhZG3/AgY94bdEyZlJGXrnaa0qDp06AW8fqWJVLRsoTDsdj9/aIQCQm7KQI/UfDHne4VD16AbipmVimChtSlD2t+dj3lGDdX89EKkjTV89TdI5IKKw2fDWXsntDoajTZvRaRLISp3Pohk34nC34A84USlj0KqMKBQamtr3d1m4m2wVONzNGHRpLJ55MxZ7NXK5iriYLARBTlX9Z+Rnnd7rnFZHLTZnHXEx2SyeeTN2VwOiGEap0FPfsr1bP5iK2o+ZXnQp2WkLSY4vxu1tR6U0EKNLobFtD4lxhahV0nWkH8o1+SpQd9DOppca2L2mBb93bKa79YVUK1FNTN/OTNvR6ApDRMWZUcTFEbtsGdqiIhRGIwBBqxVvRQW2TZskaap5xx8SqCzzc//vTdz97xTu/HErOXlKvvPjOP7yc+mUT6KSYjZW6mVOoH1jhaTOjCATSFpaSNOa7ulJUlC+qQ2fM4jGoGT66gz2vde9T8WMr2Wi1ivwuYJUbpFmx9vS4KaxxEbGlDiWfb+Al+8YWi2LP+RGq+y6yPIE7Rg13dOWQuHAgNTORppwKIwhq/+FYkxGDGKUlUz6Q9BqUedkgkyGt6wSy5vvEWgcXnRUamdGFEU8zSOXiieGRR6/8MNh26nf084/F709bDshd3R27jQpQ1/Q+QJOnN42lhb/GDj2O/KbKW/8lBZbKQC1bdsRxTAFaSs7pJnLGz+hwbxXitMfNOFgiJI/r2Hef65CLqFcrSAITP7Vanb+4FnkGiUT7zhbMtvH8bbYOXzfR5LbHTwipdXv0mo5THbqfOJisonRJhMIenD7zJhbK2ls29v1CDHMzpInKcg6g2TjRJITigkGPZhtVVTWf4o/4CI/a2Wfc+45/DyF2WeSFD8ZoyGXUDiA12fF10PqWrPpAKGwnwkZSzHo0jEacnF7zRypWUtd81bmFH9HUmdmKNfky4rfG2L3mhY2vVhP3aHo1sSlJkwlLWk6oZCflMQpVNR+jEKuZkLGMtqsZRwofwUAnSaR/KzTiY+dgEqhwxdw0NC6i+qGL06wJlCQtZKs1NOQy1W0W8pwe7uvl9OSppOXuSKykeO30dC6i6NNmxHF3je6EjL6luRurT7FnBnd1KmkXHklMnXXxZc8JgZ1VhaxixfT+vLLuPbuHdY8RVNU/PJHbVhMIcKiyIFdPg7s8lFVFuCXdyfynfOlSWmROsUs5Av220diNDBtryYcDCFTSNcQKmXFxKg5M15nkE8fKWf1z4ojPV8CYUrWNUf6zMgEpp6TzgW/ngrA549VDLompy/ev7eE7z2xkOmr0gkHZvH5fytprYjc0HRGFfFZOiavTCEcEvnskZ5TsGy+FlL0BWiVcXgCkQWsxdtAYfwisgzTqXdErptKriVBm403GP0i4sHSuq+FrCXZTL1qOiUvHOyecifAlMunkjQ1mYbN9aNzksdo+ecjktvU50vrzPjNrm41CV8lwv7o5FSrh+jMyAQ5CyZ+nzZbGXurXz7WFFBOqnEq03Mvou1AGWExshNb175zxJTLBoKnwUrZAx9TfOd5ktrVpBiYeNtZKI1ayXsCiaEwJX9eQ9ARndS8/UdeZon6QryBgddPmazlmKy9p9GeTDDo5UjN+xzh/R7fX7f1d30eHwh6KK1+D6rfG9B8bZYjtFl6VjDcVfp0j6+Hw0HWbf3tgOz3xGCvyZeJ5koXm19qYPvbTZKlrg+EJONESqrfwelpozDnLJra9rH78LPMm/I9avRpOFzNBEM+fH47B8tfxRdwYDTkMiX/6zhcTbQf+31lJM9iQsYyDte8h9VRS2JcIUU5Z+PxdW6iJRoLKc67kNLqd7E7G9Brk5iS/3UEQXaSY9SVhKy+7wenlDOjSksj9ZprEEMhLB99hLu0lKDViiAIyOPi0E2ZQtzy5aRccQWN7e346oe+wAkGQKWKpJe5HCLJaXLamkNUlPrJn9S92HsoaDPjiZF4wWLZeXTEmn8NhpDbj3VPHQnzJ0hm0zgrG2WshoA9Og+nTc9UYUzXsOiqPC6/fw4+VxCXxY8+XtVRK7P9laNseFJasYWanWZe/fkeLvrzTGaen8nM8zMjNVqiiFzZWQjbU7ToOC2uclL0BaTrJ1NljRShNzoOkm88jWkpq8iOm4Ev6MKoyUQl19LkHPl6tP7Y+59dpM1NZ+7N85l08WSadzfjaXeDCNokLamz0zBkxRLyhdj76OiqsUUDqSMzvpax57COJNFSJBpqH6AYbSoxmhS2lT3RpZC/3V5OUfoZKI/tfo5VWj45TPycXNLOnSqpXSkj+CdS/cSmIQs1DAThmCxDmK/uhsE4gycUCLNvXRubXqyncqd1VM4hLAZpatuLRhVHUc7Z1LfuwOFqxuu3o1XH43A14w84Ka/tjGq6vWZy0hZh0Gd0ODPZqafRbDrYobbn8rSTaCxEq+5U683PXEld8zaa2/cfs2OivmUnWanz+3Rmgv4whzf2nhXVeCR6fSdBYmfGePbZCDIZjf/+N77artGHoM2Gr7YWd0kJmTffjPGMM2h59tkhz1V6wMe8JRrWvOZk5yYPv7oniRefsDN3kYbmemmchZQopJiZtowdFbOTad9YIakzI8hlJC0pjGqfgDV/LeHw560s/PYEcmbFE5emxWPzU7XNxPZXjnY0wJSaAx82UbvPysIrJ1C0JImELB0yuQxLgwdLg5uyL1p77X8D0Ow8jEyQ0+jolMl1B2yUtH3M1OSziVOnw7HgpsPfRoV5U1Q+x3Awl5n56Ma1LPr1UuIL4inM6L4Dbqu2svnujZgOj2Bh+wigNGgk7c0EETWqrzLRiszIVEN7zHn8FsLhIDnJC2g070UURfSaJIrSz8DubhrTjsxxyv/1CbFT0iVvLSA15h011L7SXf5dSkIE2eB7M6pzjPPl4r1/VLL1jUacptFtbnm8Qe/xTZXjanbhcBCZELm/yeUqctMXkxw/CY3KiCDIUMjVtFs7I3c6bSJNpq7CTE53axdnJkaXitGQQ17m8m7nIQhyRLHnTaed7zSz853RE7aS1JnRFhTgranp5siciK+2Fk9VFZqCgmHN9dj9Vuy2yA7LUw/Z+NujKfzruVTM7SH+dIc0C6fkFdKmmImiiGlL/70aRov2LZVMvO0sSRtGJa+Y2Ksz43cH+c20NX0e31Lu6HdM5Zb2QdXE3HfOp91e++K/lXzx366Optvi73NuW7OHD+8v5cP7Bzx1ByExSJ29e2PRescBzN5aknR5yAUlTr+Jdk9Nn7mqo0n7oTbeveJNEouTSJqajDYhkjfrMXswlbbTfmj0pIajiSZt6EXlvZG8YiIrP/mJ5Ha/6gxVcS4Q9LCn+iUK01aSl7oUuaDAG7DTbq+ksnm9tCcZJUK+IIf++B5zH75iyE5dtPGbXJT+da10lcjjjA0EkKuVyPUqFDoVcp0KmUqBTKVAro78V6aO/JOf8P/dfj4+/oRjuhyvUiBTSpcefyIfP14TFbuD5iTBqJ7WA9MKvolem0JJ1dvYXY2EwwEWTr+hB1tdfwyf4JwICMjlKirrPqGxbQ8n05sjMxaQ9O4m0+kI2vovYA3Z7cjy+tZc74/kNDkWU+TCWkwhrr+kCZVawO+T5o6oSYsjpjBFElvHsZc0DaqR5EjjN7mwH24itjhdMpvxs3NQGDRRy4P+MuIO2Ki17R3t0xgUptJ2TKVjN/qizsnpc5NFUCiQ6XWEbANTvVMlShuVGSd6DEc+2+SowuQYuxtQA8FV3U7Fw+sjG1VjDFEUKfnL+wSsXVUv42RJLFCdy2bfezhFa8frBiGeReqvsdX/PvZwREgoRz6ZHMUktIIej+iiJniI+lBXkZ3T1ZehFCJiCHv8n9EW7p4CrBdiKVTMIkGWhlxQ4BM91IYOczRY2jEmTT6BfMU0dIIBr+imPlTO0WBphyzylx4B1EkGNGmxqBNjUCXqUSXqI/+foEeVoEehjzgucp0KQZBwZ3ScPkkyFlFWuw6rI6LkK5Mp0Gq6yqa7vWYM+rQur8VoO9OlRUScrmb0uhS8fmkUYEcKSZ2ZkN2OMrF/GWNlcjIh+/Au1KXfiSWvSIlKLVB2yM+RQ37Kjv2rqQwMu89MVFLMNo3dFLPjtG+qlNSZERQykhYX0PzhIclsfhk4LeMy7L5W7L4W7P5WXH7zV+eBOAqk3XA9dX++B1VqKoHWVkLOzvxd/YzpJF99JYJSia+unpZHH+/yfk9InWI2TvQQBAGZUj5mu4SPBI3v7id+Tg7Jy6V/rg2Ho89txbqvu5S3LdyOS7SRIc+jLNi5Q5whz8chWjocmWz5JAqVMykNbMceNhEnS2Kycj4CMupCZR3HfeZ7BTkKztRc3uN5qAUtp6lW4RAt7At8jld0EyMz4hd9HWMSZRlMUS6gNLANW9iEXohlqnIRAjKqg18uOWJBENDlJhBTkIw2OwFddjy6rAS02fHIJe6tNY40uH0WEuMKaDUfQiFXU5B1BoLQNWJV37KDyRO+hsVeg81Zh9GQS0JcPj5/5/Ousv4zZk68HFdmG63mEhAEYnQpCMhoau+eTTIUdPJYMtWTiFUkoZSpafPXUumO1PEoBRUKmRpfyDWo+jZJv5WesjIMCxagnzED1/6eGybGzJqFOjsb+6bh1QD8+NuR3LxYo4z8iSomFCopmKTk3Iv0TJ2l5qzpw1MMkzrFDCJpXGOd9k0V5F+3VFKbySsmjjszJxGvySJBm9Pxc0gM4PC1H3NuWrD7WnH627uEgMcZOjKtlpzf34WgVCIGArQ8+TSe0oioQvwFX8P64TrcpaUkXvJN4levov3VvnvQqMadmVMKmVrxlXZmAI7ctw7DxLSopEgOBeu+eo4+u7XX9xtCleTKJ1Me3IuIiIBAujyPqhMchwLFdKqDh2gKVQPgCtnRCjHkK6Z3cWaAPjeLsuQTERHZ419PiEjtljvUtSaqQDGduuARmkI1kfdFB3WhcrLlE095Z0aVoCe2OJ3Y4jRii9MxTEyVVNZ7nOhzqPJNivMuZOms2/EHXRxt3NStrq+xdTdadTwTc1chkylpM5dypOZ9JmR01se0WQ6z98gL5GetIC9zOWExhNvbTnXDBknOM1szhSkxSxDoFEtyhTozuuKVGcyJXcVB5+fUewcufCSpM2P5+GP0M2eSes01uPbvx334MEGrFQQBxTE1M/20aYScTiwffzysuWQyyM5TMmmqiolTVUycosKYIMdsCvHm88MrzNSkxmKYlNb/wEHgrrfgrh1+f51o4641466zoMuWrqtz/NwcFDFqgk5f/4O/IqyrfpAYVRIGVXLknzoZgyoJo6YzKiaKYRz+dhz+Vmy+Fmpt3XNYxwKGTAMF5xeRODkJlUFFw5Z69j+xFwCVQYUqRoW73U04MLp1P+a33sG5aze66VNJOP88Go45M8rERFx79xJoN2FZs5bkK3revT2R8cjMqUW0cur7QiFXs2z2T1DII5KlO0qewOqoHfQYqQi6fJT8eQ2zH/gWgkLW/wFRJGD1UPqX9/tsHt0YqqJIMZsEWRqmcBOJsgwUgoqmcMRxUQkaVIIGe7irgpItbKJAMQO1oMUnDqxpc6wsHrto6nBkeiJGZsQoSyZP0b1RqIAM8RRSSRPkMuKmZZBwWh6JC/LQ5yWN9imN0wst5kO0mCObwYGgu4us9uZ9/+r4f7uzgW0H+m5BICJSUfcxFXVd198n9wdqt5bRbu26GSAFicpMpsYsIyQGafCV4giamRqzrOvc/lqCop9UVd7oOTNBs5mmxx4j9TvfQT9zJvqZM7uNCbS10fLMM8NOM/twbw77dng5uMfHnm1eXn7KTluzNDtvUveWATBtHvtRmeO0b6og5/L5ktmTKeSRVLOPSvof/BUhLIYiURhfS5fXVXIdBlUSemUCOqURoyaDTMM0Mg3TxqQzM/GiyZz204XITlgc2Ws7d1lSZ6dx+t/PYsvdGyl/W/qb40ARQyHsm7eAKOLcsYvEb3y9802ZDDEYWcQEmluQx8X1a0+dqI/WqY4TDUYhdz8Y8vHZznvQqI0sm3X7kMdIib20ieonN5F//bL+B0cLEUr/9gE+U9+pnH7RS3u4gQx5PqZwExnyfNpC9QSOpX7J6NlBPf6bDjGY9YDQZ5KvgIAcBRXBfTSGuj/LTwVHRqaQk7Awj9QzJhM/LxeFfuw1Yh7ny02ediYiYbbZ3sEejIgDnezMhAnjDFqIUQxuQ13y5Eff0aPU3XMPMbNmoSkoQHFsYRC0WvGUleHavx8xNHyn4+0XHUyaqmLlKj1TZqo5fMDP4QM+jhz0Y2obnv1o5BVnXzaP7MvmSW73VCF5+cRxZ6YfdEojceo04tRpxKpTMKhTUMoiO7Yhcez1Jkqbl87CXywm5A9x5K1SLJUWFv5icZcxDVvq8Tv95KycMKrOTMhmR5mSTKClFUV8PIJWi6awoKPgX1Ac600lEzocm75QJYxHZsYZIANRIhxBtcLaV3ZgnJ0tqQz/YKh7ZSfm7dUDGtsQqmS6cgnKoJpkeSb7/Z2pLl7RhV/0EidLwhTulMGPlSXhFd0ExYHL6TrDVjLk+ciQE+7BCRIRcYYtxAhxeMWxK+LTE4aiFNJWTSXlzGKUsdI2Oh1nnMEQp0zFEmjpcGR6wxt2EasYXLQwKpVcYiCAY8cOHDuipxv/0D0WILLhlpmrZNI0FdNmq7nsu7Fk5ym5ePnQGnKqkw2SFsCPEyF+Xi4KnYqge3T12scKakVMh+MSp04jTpPW4biIYhhnwESzswy7rxmbrxmHf+wphU27egbhUJgPrl/T0UfmZGcmHAhjq7JizDeOwhl24ti6jYxbb8FXW4sqKxPX3n0kXX4ZysRE/M3NxCxcgPWjdRhOO41AU/9a+XKdNI15xxlnxBHh8F8/YN5jV6Ma4QijvbSJqic3Dnh8W6iBkCLIJMUcgmKA9nBjl/erggcpVM7EIzo7BAByFZM5EtjZzZbsWI6+IHRPsasLlZGtmMhM1XKqgwfxi160QgxyQUFrKCJQUBHczyzVCvJFW8drMTIjMmQ0hsaW4p0gCCSvmEjOt+dLrso6zjhDRY6cQLj/1E+FoBx0c9tTVpYiN1/JhMLIv9yCyL+EpIhc846NA8uT7YnkZUWS9lkZJ4JMKSdxUQEtn5T2P/grwOm5PwIijosrYKbVVYnd1xJxXHytYzISczJJU5NpO9Dab0NMd5uLhMn9qxxGE+tH6wiazagn5OI+eAjH5i0AKBLiCdodZNx+C8azzoiIA/z3yX7tjdWeHeP0T3baArJTT0OrMhIK+3G4mjl8dA0uTzupCVNIS5xBKOwjJWEKFXWfoJCrmZC+lDZrGQcqXgVAp0kkP3Ml8bETUCl0+AIOGlp3Ud0oTZFstPFb3ZT+dS0z7r14xORzg85IzY4YHPgiRSRMU6iaHMVkaoIl3Yr4a0OHEQlToJjRIc1cHthLwwmpYIWKWUxQFHekpc1SrkBUhnGKNrb4In3EvKKL7b4PKVLOZo7qDGTI8YluaoKd2QRt4Xr2+teTr5hOvmIaYcK4w3aqQ2NH3EZQyEg9q5icb5+GLku6utdxxpECT9iBQZGIgNCrIIdcUBCrSMIZGlyN+ag8kVXp6RjmzcP07rtDtvHft9IpL4lIMu/Y5OV/j9mprvATHmYGWzRUzMaJkLxi4rgzcxI2XzNWbyMOf1tEwSxgGrMNMk9GrpbjtfbfP0ipVxEexAImWjh37sK5c1eX1wLtkeLhxvv+iSojg4DZTNjl6tfWuDNzahIfO4GJ2eewv+IVnO5WVMoYEuLy8Pk7RWOSjEWUVL+L09NGYfaZNLXvY/eRZ5lX/D1qdGk43M0EQz58ATsHK17DF3BgNOQyJe9CHO5m2q3lo/gJB45ldy21L2wn98oFIzLfkfs+wtvcf63swsUqfveXODIy5Tz3lIv77tnFkeCuXsfXhcq6KZedSEVwLxXBvf3O6xSt7PF/1ueYtnADbf4GfnxrDAqlwIP3DU9sSEqSlxVRcMMKNKljQ61unHFOptlXRYFuDkW6+ZS7d3RzaARkTNIvQiXTUunZPSjbo/JEVmdlEbdy5bCcmbNnSK/4okrUEzs1Q3K740RImJ+LXKciNJ5qxo7GVzFqMjBq0skwTEUl1wKR2hi7rwWbtwmrrwmrtxFvcOw8ME/E2egkoSgBQSYghnvZZVHLSZiYgLXKMsJnNzjEUAhfXfd+F70hU428OtY4w0cui8jN+vwOPD4LHp8Fm7Pr7z0sBmlq34tGFUdR9tnUt+zE4W7G67ejVRtxuJvxB5yU167rOMbtNZOTthCDPv2UcWYAap7ejHFmFnHTMqM6T8Pbe2nbMLDrsnWzn9Wnt/G3fxijek7D4d8P9i1eMJJoM4wU3XLGqNVAjTPOQKn27CNNnU++bjZp6nxMgUjaqEGewNSYZSQqM9HJ47AF26jzDm7je1ScGZk6uioacxZq2L118B3nk5cVjXesjSIylYLEhfm0fjpwub0vKybPUUyeox0/65TxGDXpGNXpxKrTyI6dyQRZRDDCF3Jh9Taxp/mtUTrbnqn9rIbp185k1g/nsPfR3d0cGplCxrxbF6BJ0HLgaWmabQ0VmUaD8ZyzUedNQKbtXgTb8Ne/D87eeGTmlMRkLaehbTenTf0BdlcDDW17aGrfRzjcmdYZCEbSlEPhAAD+YKTgOywGkckitVJyuYrctMUkx09Co4pDEGQo5GrahdETuRgKYlik5M/vM//xq1EYolMc7qxso/KRz6Ni+6uMIAjkfPs0cq9eMH4/GueUICj62W57l2kxK0hW5aCTRwTCYhVJHQX/rf4aDjjWD7rH3ug4M1ptVO3//p9JXLho8AIAY6078peR5OVF485MD7gDFtwBC42OEmSCHJ3SSKI2l1T9RBK0WaTqC0f7FLtx8Ln95J4xgenfnUnumXm07IooCsUXJrDwF4tJm59BbHYsptJ2yt48MqrnmnjpxWgnT8K1azdh99Br6iCSly7Ixjc9TkVERA7XrKGmcSMZybMoyFzJhPSl7Ch5An/g2G77Sb1Pekr7nJb/TfTaZEqq38buaiIcDrBw2o9G4iNIjkKviupi+Lh9qZqWanUCv/xNLGeeo0aQCbz/joe/3+3A74/83lacoeaWnxjIK1Dg94l8/qmP3/zCRiAgcu7XNJz7NQ2bvvBz0+0xGONlPPmYqyNdrKQ6nZ/dauWOXxqIj5exf6+fn99uo+VY24fpM5Xc+4CR9HQ577zp4be/snU5t/6Oj0+Q8Ze/x5GXryAzS45KJXCkNMAPvmOhtWXg10cZq6H4zvPGozHjnHL4wm522dcSI48nUZWJRhaDgIA37KTd3zDoWpnjDPkOln799YR9PlqeeabjtYybbhrYpAkJQ512QMTEDr4hmMqoI25GdEPt40DiaXnINUpC3sCQbSxLumJQ4ze0vzDkuaKJXKYkRpn4/+yddXxb1/n/32LJAkuyZWa2w8xJ25RpxW1daftt7dYxY4ffdczctcNyV+ambdowMzhxzGxLtpjp94diJ45R9pXtpH6/Xn011j33nGNZuvd+znmez3O6eGYqGnkKGnkKSumZmOcoUVyBHpyB7imc6dAE3UHe/PTrrPzOarJX5qDLjc3bWJ6CsTyW8N+yuZnt/7eFcGBqq68nVZTT/chjeE9MXFRNRQHGGYTFF7BT37aJpo4drJz3OTJT59HUsW3M56fqS6hpeau/wKVYLEWlPP8SriUKKVXfuxaxInFiRpmRTNmXL+P4/70iSH/3/1CHRiPm8nVmZFIRf/2ngfs+r+kXJM1NYX54v51jR4Okpkp46oUUrr1ByfP/iy1irFiloLUlzJUXmRGJwWA487wgEsHtdydx6/UWPO4of3zQwGe+oOkXLUcOBbnqYjPf+YEOhWLwgsZo53/hq1p6LRE+/XEzWdkS3txk4rP3xidktOUZzPrBdSjTtON+D2e4cFBqpUjlYvzuEEHf1OemjhVX2IrLK1z4+bivYIr8/EErWMrCwglPaCRe3pk7pnZJ6vjFTOqakpkQs0lArJCSsryQ7vfGH47R7jv73CgSkZT8pHn0BtpwhXqJRMNopEZSFDlUO6anu9DavHtIkg0szhiJhnEFLFg8TTgCsYKaTr+FcHT8wi/ReC0e3vnSBpIL9WQuyUKdrkYkEuHudtOxpx1b3TTJlZFKCdlsgnQ1c504f0kzViGTKHG42wmF/ejUWcikKjy+ntFPPguP30pKcgndvceRihUU51yMSDRMEcfTrw9lCRxPm0RQ8rlLUOcn3mkw7aIybAfm0v7K4Qn1I5XCTbckcd3lZjzuKBDlqcc83Pe5M2Kmoe5MyGBXZ5jdOwLk5Z951JFI4be/cNJX7s7jHigkHvqrix5L7KHwrTd93HBzfJEkI51fWSXlsf/Ewhbb28K0t4YpKJTS0jw2MZOyvIhZP7juvF5QiQRChNwBQm4/YW+QsDdAxBck7AsS9oUIewOEfUEi3r7XgrF2vuBZ7c56zRtk1YufSehuuVgS6zsSHqm0auJR62XMujiVilUpFC5MRpcqRyI7c83wOEJ01bmp22vl2Hs9NOy3Td1kJ5lxi5n2v/xlyNcdO3bg2LFjxHN1K1eiW7487jH1KWIe+ProN537fxn/xXkmxGzyMK0rm5CYqXMNrCEwX38FNc6dNHkG3ihzk6pIVeTR5p3aEKehkEtUWH2tOPzdp//rOq+czM7F3mDD3mCb6mkMi+fwUTQLFmB9/Y0J9xUJn59/oxkgGg2Tm7EMlcKAWCTB67dR2/I2Zmt8oa/H6l6gsvA6Vs/7IoGQm6aO7fiDA5PCKwquJtu0CLE4dptdXPkxotEwNmcLe6v/NeY2iSLt4nIyr5qd0DHOpuTTF2E/1o67Yfw1s9LSJUik8OwrAwvqudxnHjIXLpHzqc9oyMgUE4lAVraEJx49U+iyqzPCSHW729vOfL+DgShSaXwPySOd39QQZu58GS8978VkEpOWLqG+bmw2/KmrimO7aNLpKWSCdi/eNhvedht+i4tAj5tAr4tArwd/j5uQ20fYFSASmtpd+vEw9zITN36rjJ3PtrPzf+1YO+LPyZ4Iar2Mi/9fHmtuz0WRNPzfP0knpXBBMoULkrn0ngI6a9289WAj+14ZvXbaZJIk0ZGtKEcnTUUmVmAONFPnibmXyURypGIF/rA7rloz4xYzgba2IV8PdnUNe6y/jXnk6p/DYbdGeOP50V1Evvjd+Lb7Zckq9PNyxjWnGeLHuKwIiUJK2C9MLRWTIp9Trt2DXu8NtFOhXS3IGELzdsMfpnoK7yu8p06RestNKEuK8Tc3E/UPdNSzvvHmmPuKJkjMhP2hQbvdMwjEaXMKs/UkZuvwixtdvcfp6o3VFgmGPLy16/v9x7Yf+mP/vx3uNnYd/duIQ55ofI0Tja9NuE0iUGXpKfvyZZM6plghpeq717DvvseIjPPa390VJhyC6y4309w0+KFYoRDxr0eNfO9bdl58LhZW9vu/xvc8MJwzoxDn//rnTv73Ugqr1ioIh+CBHzhoax394T51dQmzvnstIunk7twNRdgTwFVvxnWqG+epbtwNFryt1gu6IPbSGzJJTlNwxX2FXP7JAo5v7mH7U20c39wz4c/LaJQuN3D3r2ajSZHHfW5GiZo7fzmLVR/O5r9fPYatc3JF2FDkKquo0qxCxJnPsjt8JvfMIMtioe4Kjro20eob+yKT4IGy4THUaIh4x5eA+5nbxqYut74TX/+pq0sQSab+IvF+QaKQYlxWhHmzMM4/4WgQgywDd2hgSJNeljFlxSdXfX4eKcXJvPSFzYL2e++7N7Lxgb3Uvj12G+EZIPmSiwj29iJWJ6GqrBh0PC4xE4pAFMGL6x747BO46se30DPDDGNFLJVQdf81SJPifziaKOr8FEo/ezEnf/3W6I2HIBSCZ5/28NVv6fjuN+047BGycySkmsQc3B9EoRChVIlobIhd9+fOl7Fqrbz/56lm1hwZLc1h7v5wD6ExTklXmUnVd6+ZMiET9gSwHWnDtr8Z64Hm2DXqfbTmok2RU7H6TLSPSCxi1kWpzLooFVunjx1Pt7Pz2Xbs3X7Bx77o7jyu/1pJf5jbeClapOdrzy/l4U8fouGAffQTEkSKLJtZmjWEoyHa/NU4Q73M0qwZ0MYSaCYUDZAuL5w6MdP0ve8R8Y2u/MIuFyF7/G9oU93Ycgd+/LX4trFnQswmH9O6UsHETLPnKFW6tRjkWThDFqLRKDpZKpnKUho9BwUZY4bBZC7NInt5DscfP4rHciaMQ5ujZfk3V5E2Lx2vxcOBv+2n4c26EXpKPPFaL49G2BdEopIJ2qckSdj+phv5v/0srh3H6Hl65MKEk8V0m89kUXTvGrTl6VM2fubVc7Dua6b7vaF3yH7zJz2z58pIz5AQjcDlVyrZszvAd74We2b48fcdfO7LGl54PRWDQUx3V5g//97Fwf1BHI4Iv3jAwV//aSQahX27A/zjb26UKmFWHv7vZ8ksWyEnLV2CSAzLV8mpPhbiC/eNLTcwGo2ycJGcfccyQAQuV5S//dHFI/8aehFYplcx6/uTH1oWcvuxbKvD/N5Jevc1xRZw3qcsvj5jWDGhz1By1eeL0KbKeeb/hA1nX3tHLjd8U7gi7mq9jE89vIC/3XNwynJpClXziBJhl/0lHKHYwt25YiZCBFfIikYa346qoGJmLLsyAJ5jx2g+dkyQMUUihvyghUNjWzqQapUY5o/NWGAG4UhZXoRYIR13uMHZ1Lr24A07yUuaTboyZkLhCdk57thCmze+wkszjJ3CK4opubaU+jdq+8WMWCbmkl9fTnJBMiFvCE2WljU/XIfH7KZr//SK250IIY9feDGjmvyV8rGQfPkS0u69btDr3uONtH7vn1MwozEgEmH4wGp0lyxAZtITDQQJdPZie20nzk1TW/NoKklZXkTOzQunehqUfeUynCc78XYMXtT88mdtI57r80X55U+c/PInQxcT/seDbv7x4NDPIm+86uONV4dfcK0s6Bjw83P/8/Lc/85Eenz3myMvwo50fkWVjB88kMzapV2YzTFxUFYh5YXXTTz+iJvwObdCkVhE1f3XoDBNnmuZq7ablmf2Y37vpGBW2uc7i67NGLXN3peFvbeVLDUIKmT6UCRJ+Pgf5/CbW/fQ2z75IWfJsnSswa5+ITMcvoi7v+7MWDlvKy2VVcn59s9TKamUDUrQCwairClrGubMgaSuKp4WcajvNyRKGcYlBVi21grSX5v3BG3e0bckP7npJp6++y2sjU5Wf2E+s24q4u8XP080EuWmBy/h0FM1NGxuZ+Vn51JxTQEKrYzWfd2899N92FvP5GuZyg1c/ctVvPi5TVz2/WWkVRnx9Pp4+q63cFsGhznmLk3n2t+s4Y1v76Bh85mcsoV3VzDvw2UodXLMJ6xs/tUBuqtjPusSmZiLvrmIsivyCXpD7PtPNSHf9LnBmGan4e500Vtzxhe++OoSkguSadrYyOb73yO1MpUrH7qGqg/PmrZiJvtrX6Htl7+O65ywOwACm0BNVzEDEPUHafrKnwe+FpgeoTtDYbxxDfrrVmJ++BX8zd1INCqU5XmEbWNbcLsQUaRqqPjGlVM9DQCkSXKqvnsN+z//5Ptm1T81VUw4DIHTASYymYjlKxV0doQHCRmA3FsXY1iQNylzsx9tp+GfW7Edir8+34WMWi8ju3JkMdnT4qXxoHChW0qNlDt+XjXh0LLh0Bjl3PXr2fz+9n0Jz/c5FwkSgpHR00CkIllcyf8A5+1T/Fd+aKSuJsB9H+rE3Bnmnps7+L+vWmhuCPLZ27vG3M9MiNnUkbZu8t9780kbxsKYJbKpwkD7QQv6vNjFylikw3zSyvL75lCwOosXP7eJf1/3CtYGBx/480UDLBABNGkq1nxpPlt+e4B/XPECb/9w1wAh03eZyJiTwjW/Ws3bP9w1QMjMuqGIquuLeOVLW/jX1S/TuK2DG/6yDpVeAcDCuyvJW5HJs594hyfv2EDm3FTUpsQWnI0HVaoKe+PAi3j5zZVEwxH2/HYX0XAE89FuLEfNpM5Om6JZjo4sI/6Qm6BD+FWt6RxmFiVKsLN3wH+hXsdUT2tY1IvKcGzcj3PbUQIt3Xirm7C+sAXPIWEWT843RGIRld+5GplOOdVT6UdbnkHRJ9aM3vACYdsWP6++5OXFN1LZtj+djdtNLF8l55MfHVwkUJGiIf/O+B1f48VvcVH9k9c48IUnxyVkKm7/JulLxmYkIZbKqLz7u6iziuMeZ6ooWWpgNCd+oZ3CrvtyMfqMxH5PC+Yns+Yjk2965Y040UpTEI2QcCoRSdFJU+MuninozoxILCYajU6KI09plZxvfsqMtSdMJBrlyD4/R/b5qa8J8s2fpHD3te2j9iFVKzAsmpyVjxkGk7K8KFYZeoIrvFKRnGLNYgzyDKSiwavbWy1P9v/bfNKKoVAH74FCJ6N1YxemCgNeqw+pQoK728v8j5Txxje3Yz4Ri4Pe+tuDlF2RT+nleZx4tbG/L4lcwoHHaug8ErMLb9k1UESHA2FSS/Vc/4e1vPfzfZx6a2DS/qK7K9n54NH+cfb+8zgL76ygYE0W1S83MOsDRRx49CTdp49v+c0BSi6dPiGRYokYv+NM0qOhxIixPIWWLc14us+sgLu7XKTOim/LeKIoi4uIhsP4G2M7tEmzqoZuKBYjksQfjx6wCr/CL0uePkJ1PMizUkn5yKWoZhciVsoJW53YXtuJ9eXt/W1EchkZX7gF9eJyoqEwnoO1dD/0ChHPGXGov2YF+quWITUlE+q2YX1xK/a398U1l7DLizx3dAE90fkU/ftbdPziCbzHG1EvqSDrGx+h49dP4dpxDGVZLlnfvoP6j/40rrkngoK7VqCfO/0cO3NvWYTtQDM9uxqmeioJJxqFX//Mya9/NnR43NkUfXKN4GGs59Kzo57qn79ByDlZ4UaxB9hoZPru6J5L6fLR8zb2vTr2xfPRyCrXsOKDk1O8/YpPF7Lr+Xb87smL9uj011OctJDSpCWc8uwheo6ThAgx5eoVyMUq6rz74+pbUDFT+MtfYtu4kd5XXx2xXeZ99xENheh86KFxjxUKglwe+3K4nVFMGRLMnWFqqwMUlY/tIpC6qnjaera/H5AkyTEuyceybWLJ4VW6taQq8ujw1RCMjOwoYj5hJXdZBvocDa4uL+YaGzkL03B1eeg+YUWbpUaqkGA5Zes/JxKO0lNnJ6UkeVB/lhrboNf6kKmkXP+HtdS+3TJABEEshCw5V8OVP1nBlT9ZMeCYNjMJsUSENjMJa8OZ1W9np4dwYPqEmXnMbjSZmv6fy26KuYTVvjjQ2EGqkk2647Dp9o8A0PKjHwOQfs/HBe0/0OsZvVGcKCcxNj5eRIiQpekHvBZ2+fof+qVGLTkPfAJ/Yycdv3ySUK8DRV4aYfvA90l/9TKsL22j5Vt/R5qaTMYXbsF4yzos/425yemvXEbKhy6m++FX8de2oSzNwfSJa0Aiwf7mYPv14bC+uI3s795F9nfuxPrSNjxHG4ZcZJvofPx17SgKMvAeb0RVnkewowdlWS6uHcdQFGbirx25TMFkoJ+fS94dy6Z6GkMjgoqvX8neex/B3zN62YX3A7qKDNLXVyZ0jPp/bKX5id2T6koWCQWo/s//Td6AAlC6dGQx09PqpatOuIWt674ydueycDDC8c09nNjWi6PbT5JeRmquioVXp5OSO/rCmNogY81Hcnn7ocYJznrsNHgPkaEooihpARmKInqCsU0HrcTILM0aUmTZJEmSsYfMtPjiy3eekpyZiNeLsqBgQn1UH/GzeJWSV59xsXebl2/9NJUn/uFg0Qolna1jU/6JCDHrfOMYzlPCKfXphKYkTfAia6Z1ZRMWMyZFHofsb2PxN4/a1nzSytwPlWKqMNJd3YvlpJX5t5Vha3FiPmk9c3E/53oyXNX38AhJkpnzTBx7vo7ZNxdz5Nm6/h2Y0x0iEol48XObaN3TPeC8s+uYnLtyEQ5OH0/Mjt3tlN1UQfktlYQDYUqvL8PR4qB128AdKHWmBp9tcpMNW3/6cwbEB0SjNH7j23BOUVKRWEL+z38Sd/+BBDx4KdJ0gvcpFCKFjIK/fHnAa5bH3sL6/BYAki9bAtEoHT9/nIgvVm8i2DG4wLGvto2eJzcCEGg149xyGFX5md1G4y3rsL6wFefmWJJ+oN2CLN1Ayq0XxSVmvMcbafn2Q6R86BKyv3c3QbMN63Obsb+zf4Comeh8fHVtKPJjCcLKijzsb+1Fszy2C6gozMRXN7ViRqZXUfntq4a9fk0H+uZ46KvPxCI7EsDqtI/Q6a2l1jn2z9B4yVPPpUiziPe6xlf0NOfWxQLP6CyicOpPG2l74aBwXV6gtbFUWinpxeoR25zcHl8o1EgUzE+mcs3YEjGbDzt47FvH6aofLKRe+30di6/L4NYfVCBXjbxYv/JD2bzzj6ZJy50JRQPstr/MbM06TPI8kiSxBWKdNLU/4b870MgR53tEovEt3E6JmIkGg4iTkibUx99/bcNhjz2Y/OtPdn7+YBp/eCSdXkuY//vK6NbMkiQ5hsX5E5rDuUSjUer/sZVA74WZZCrXJ5Fx5SxBb4wpK4oRyyQTck4RiST4wqNv3QP01jtIMipJKUmm80gPrm4vKr0Cfa4W8wkrjjYXQU8IU5kBR1vs7yiWiDAW6ah+uT6uebXv72bLbw7gdwW49terefL2DXhtsZ2jcCCMrcWJqUxP07aOIc93dnowFupo3hGLyU1KUSJXTx/PjuNPHKXo6hKWfS22sxSNRNnzm50DLoyq1CT0hXrad03uQ100ONDGPeL1EQ0MLuoWJTSo7VjwdQrv1a9Im747MxF/gPq7Boq+s//OisJMfLVt/UJmOHzn7FREXF7ESbH4cIlOjUSvGSQAfLVtGD94MVKjllDv2L7nAP6GDtp/9hjS1GT0Vy3DdM+1SIw6es+yYp7ofPx1bSTduBaRVIKiIIOOnz9Oyocu6f+599lNY56v4Iig8htXokjRjN52iunbPWp6ZGdc5xkV2SxNuXHY47ssz2INDH19nY7IU9SYVpckrP+6BzcJKmQAJFI5+Vfeja6gkkgwQM/R7XTuepOzt31m3/MAEoUSENHwysM4Go8P6id9yWUYq5YjS9L1h/6G/V7qX3oQT9coC5UJ0OqmwtGfUYUUM5ffVzimdjU7e3n4vsMEhjEDikZhz0uddJxy8/nHFyFXDi9ojNlKSpcaqNkp3O8xGv6Ih32O19FIDKTIs1GKNYgQ4Yu4sATa4s6V6WNKnoxkaWlEPBML0zh28Ew4kbUnzL23dCBXiAj4x6YwU1cUIZYJG2LmONZ+wQoZgIDNg+NoO8lzhIvplJ4WlT074hMKZ9PtqydTWcop1+irbtFIFG+vj/RZRg4/fQoAj9VHapme6lcbiISj7PtPNSs+OxdHhxu32cuij1YS8oep2TD6zs9Q7H7oGGkVRq76+Uqev++9/ofA3Q8dY+1XF9JT56D9oBmlTk7usgxOvtZI0Bvi+Iv1LLi9nPb9Ztw9PlZ+bt6ku4+MhLPVyWsfe5myG8tBJKJxQz3mowN3mUxz0rDVWal7dWoTr5u+ff+wx+zvxf/A6W0XXswop7GYgYE7hoMQMaZcyegIYkck77sdnbstGvtfxB+/6AQIWexYHtkAkSjJly4aIGYmOh9fbRvyHBOKwkwCbWbCTg+Bzl4UhZkoctPw142eu5kocj+4GOPSsT0gxUPPznpk+iR0FaNb1sZDwV0rsB1swX5k7Asf9kAXm7sfAUAjNbLQeA37el7GHbYB4AufX6FrWdfNS5i7avd7J2n5X3y5Z2Mhdd4a2re9TOeu11FnFJBz0S0EHD30Vu/pb3P0oe8glsmZ88mfDdmHoXwRpvkXceqZ3+O3mUmZtYKs1R/gxCM/IeQb+ZlKLJMkZOcxrWBkMRONRDm1QxgRkFGsHtOuTE+rl39+7siwQuZsWqudPPOjk3zkJ8Pki55m9vrUSRUzfbjCVlzesdVnGgsTEjMiuZyksoGhWjKTCfXsoUORRDIZSZWVKHJy8FQLX/9jrEIGEhNiZt58SvA+pxvmLacEFTMQ+1tMRMz0BNqo0q3BIM/CEewmFB340FPr2jPgZ3ONjdxl6Xh6YqFPlpM25txS0p+fsucfx5EqJNzwp3XINTLaD1h48bPvEQ6M00I0Chu+u5MPPXI5q784ny2/OQDAiVcbkSqlrPnSfHTZanz2AO0HzZx4JZYMu+8/1eiyNdz8j/UEPSH2/OM4+tzptcpqb7Sx57e7hj3e/G4jze82Tt6ExoH11dfjPsfbbhN8HrJkFbJkFUH76NaV041Acze6ixcgksuIBsYpOnochO1ulKXZA1zHlCU5hCx2Iu6JhSqGPT5E4rE/KI5lPhG3j6gvgHpRGb4TscUOX00L6iUVhD2+KXN801VmUvT/Vgveb8Dq4cQv30SqVrD4wTsFTVIXiUVUfedq9t7zCMExJqWHoyE8odjCglQUm4s37Op/7Xwj88pZCenX1+ng5K82JKRvZ0sNPUdjJh9+azfqrGJS5qweIGYAopHh759JGQV4uprxW2OLYbaa/eRcdAsKYzqh9pGfDcTKxBglmPJHFjNd9R48DmHMDC76aN6ormkA//vBCXyusY+5+/kO1t6ZS84I9tJVa1N57gFhCphPJRMSM5KkJNJuvx2R/IyDlHrOHNRz5ox4XsTno/e11yYy9IToq3EiNJYtF76YsWytpeTTFwnaZ+rKmBFDJDS+ULNC9Xy8YSdysZJUxWB3unPFzMYfD/x52x8Ose0PZwrpRSNRtv/pMNv/dHjYMc0nrfxh4ZPDHj+7P4CAO8gjNw02xjj6bC1Hnx161yIciPD2D3bx9g/OiIVDT57/F50LgaDdS9DmRaYX1oFMU2zCun98O4CJRIQIWYZxwGvRQKj/Yd325m6Sr1hC5lc+RO9zmwnbXcjSDYiVcly7xrhwFY3S++wmUm5bT7Dbhr+2DUVpNvprV2D+V3yCM+2ea/EcriPY2Us0EkVZko3xhtXY34pjZXqM8/HVtaFZOYeeJ96O/VzTgvGmtVO2KyNVK6i6/xrhV/ijcOLnbxC0xT77p/60kYqvXSHoEAqTlvKvX8HR774oaL8Qs3yda7iMNGUh0WgEs7+J4/ZNhCKx3bkkqZ4S7RKM8mzkYhX+iJsW9zHqXWc+M6vTPkKD6wApipxh+zkXqUjOopTriETD7O99lXB0aLGvLkxNWIHMugc3E/aOb5FhNPoESB8+SxvJxSM/Aw7qo7cLfck85FoDAacVXeFsIqHgoL6HQqJITICRaZSdmY5Twuz6qbRSFl47enmAvmT/eHn3n83c+cvhRXJqngptihxnz8ghwtOdCX0KQjYbjfffj7KwEFV5OfpLLiHQ2UmgfeiLeDQYJGix4Ny7l7Bj6moU9FWfFxLnyU583WOP5z5f8XU5cJ7qRlsqXN0QqSZmkT1ee86zrZdnmGEoxEol+ssvQ1FYgFg12MO/7We/jLtPV4NZ8KJ2mpK06SlmFDIK/vTFAa95jzfS+r1/ArFQrtb7/0HK7ZeSff+diGRSQr0OrC9ui2sc22s7iYYjpHzw4pgVstlOz2Nv49gYn02nSCnH9LGrkeiSiIYjBLus9Dy5Edube0Y/Oc75+GrbUC8qH7AzI8tMwbH50HDdJpTyr1yGMkN4M4nW5/bTu6ex/+fON46RsrQQk8D1wlJXFpNz00Jan4vvbz4aeeq5NLoOsNP8DEqJhrmGyynWLOGkI/YZDUcC+MNuDlk34I+4McizmK2/BGfQgtl/pgh3VfJaGl0Hh+0nRixKRCqSszjlOoIRPwesr4+Y1GxcWiDo79uH/Wgb5s0JXAQ7d0tBJIq7PEfPse2oMwuouPM7hANegi4bja/9i5B3dMGQKAtrQ4ZixOPtNcKImaU3Zo6Y19LH638cX/TK4be7CQUqkcqHX9zIn6fj6MbRc80nSoosG5M8jwbvYfyRM+GDSRIdszRrMUgz8Ec81Hh20+GPLzR9wk/00XAYb20t3tpatIsX4zl+fFRr5qnGtK5U8D7fDyFmfVi2nBJUzEDM1ez9UGvgQmLu/5sfV/vD/zyYkHmMhZRbb0ZVUY57334iHmHCuNz1FuHFTLFJ0P6EwL5hD/YNo4sAf3MX7T99bNjjTV/606DXep5+l56zclgA7G/ujsu5bCi6/vjcqG2Emk/v/96j93/v9f8caLNw6pbvjX2yApJ13VzBxQWAq95M/UNbBr1+8rdvo6vKFHxHoeiTa7AfacV5avSV+bFiD3Zzyhnb5XaFeunwnsQgP5P34494OOk4UxPJE7KTr56HTm4aIGbsQfOI/UAs/C0mZK7HF3ZxyLaBaHTkMGXj4oKJ/opD0vqMsKLwXJSGgbsKqtRs/HZz3P2o0vOof/FvuNrie4hN1G6WYhSznc5TwuRHL785a9Q2J7b10nJ0fBsAQV+Ehv32EWvmZJRoJkXMZClKyVaW0+6v6RczYsQs0l2FWqInHA2hkmiZp12PP+KmNzh28w5Btyf8w+zITCfECmlCkiLNCQgxkyhVRMNhIsHptf1n3nKKwv+3StA+U1cWI5KKiYbGmZcyDKtSP8g2y9OC9jlDjPmfXBhX+6kUM0kV5XQ/8hjeEycF69NZI7wFu1bgpOoZ3j+oC1MFDwEGiPhDVP/4tSEdJ0NOH9U/fZ15v75V0CRssVRC1XevYe8nHxUsPMoRGPh9DUb8SMVnVt8lIhmFmvmYlIWoJFpEiJCKFZh9jXH1AxAlwkLj1agkWnb3PD+qkBGJRSTPHv2hNl78FheW7RMrfTAampwSUuesxtlagzqjAH3pfFrfe2ZQuz6HMpF48C6ETGtAkZxC0B1/rpMyPTGW9oqkkXdLelonviiWO1tHZtnoebDv/atp1DYjUbvHOqKYGS0/SCj0snR8EReO0Bnb/ixlGWqJnk5/PYec75AsNbFM/wHyVXOnTsw4tmwZMclrOpCyrBCJwAljrnoz3jaboH0CZFx2E46Th3HWHBG874ngae7F09xLUp5x9MZjRKpVYliQNyCMQQg00vHPUaxQUvq57yFWxMKSmv77Rzwtidk9MixeTerK9Zz6ww8T0n8i2P+XvUO+LpaIURqVpC/IwFBipPblGqqfODbJszsHqZSQzSZol47jwlu+JuUYUJi0+M0XfsjqDMIhUUiZ9b1rEcuFzx+oe3AT7qbBNYP6sB1qpeXJPeTdtlTQcVXZBsq+dCnVP4nfoGMozjWGOZe5hkvRSI0ctW3EETQTjoZYafpQ3P0AqKUGevwtqKUGynUrqbYP3tU6G2WmPiF/O/OmmpFdCAWg+e0n0JfOJ3PVtURCQbr3bxyQ/J+x/GpM89chlsaeuwqu/hjRSBhfbxc1T/4KgJDHia+3i4o7vgVANBohYO+hY8er2OuGz12FxFnajyZmvAIk/y+7MXPUNt0NnglbQJubRnYPNmYPDr1OBApxErbgwMWAPOUsokQ44d5OlAi2UBf2YDd6aXzRP4J+ezwnTgjZXUJIhIuZJREhZiIR6oIyHCdH/iJPFeatp8j/iLBVpU3rysYkZozyLCLRcP+XwqQoGLKdWCRCxPiTYCN+Hyd/9W1kyQZKPvvdcfdzoXL0P6N/NufcPY/5n1o45dbMnqPH0CxYgPX1NwTr09tuI2D1IDcIu6plXJxPx+tHBe1zhgub0s+vF3RxqY+enfW0vTh67k/Dv7djWJiPtnz0ROZ4SF9fiXVfM51vJn4xJFWRT41je39dGrFI0l/UL178YQ/V9i20e06yNPUmXCErLe7hv9NJeSNXmh8vvXsntqI/Gicei1ktjyQ4One+RufO4Q2fRBIJpbd8AUfDMRpf/SeRcAiRRIK+ZD55l93O0cbjRMPDCwdVln7c8x+J0cLMvM6JiRmJVMSCq0f/vmx7sjXeFKRB9LSMvIukMSYm7+hcRIgJRs+UVdFKU9BJU+kONOI7K4fGG3GSLIsv5Hr6VOCbBMRyKSnLiwTvV+gQs4I7PocyLQuxXEHuTR/rf92y/W26N79G+Rd/TMuz/8LTUoe2dBa5N3+c1hf+g+PEIVTZBeTd+glO/i5WV8O4eC3GxWuQ6fQE7b307HoX68H4CpMNhWVLreBiJnVVCTW/fXvUlaQ5yesB2GSO1RdYZLha0HkM4gKtcDwZHPnvIUquL2XeJxaw4TPCrLCOBcOVA12WwjY7yZdchLKkGH9zM1H/wNBN6xtvjmsc++FWwXMUDIsL3pdiRl1QhnHxWpKy8hErlITdLtzNtVh2bcRvHrgLVnLPN5Eb02h7+VHsx4fOCRBJpZR/9keIFUoaH/sjntbBu6rxjClLNlL6qftxnjpCy3P/xjB/Ofp5y1EY0xCJxfh7zdiP7qFn7xYYJaxISNLXV5KRAEvfQK+bE78c2/ciGopw/IHXWPz3OwSPfCj9/CU4qjvwNCe2FoY37CBVkUenrw6pSE6pdhki0cQc4ezBbg5b32Ke4XI8ITs9/pYh26nzxlb5PR6ioQj2Q0OPN51QpWShTMnk1DO/HxBS72yqJnPFNUiVSQTdw+eLaMsTE5orlQ8fNhkJR/G7JyZmKtemoNaP/F0J+iPseWHiEQDWDv+IxzVG+YjHhcIXcaOSnNlJy1XGauC0+gaGf/fZrMfD+0rMGJcUCO584Wmx4m4cfgt+PDQ/9SAiqYzyL/wfrS8+gqsuVi23b3XC19mKMi0LT0sdSdmFBKxmVFkFOE4cQpmWhbcj5qpjXLiatDVX0rHhWbwdLaiy8si8/GYQS7Duj89l6FycNV34uhyCxqvKdEr083Ox7ht5NWmr5YlBr73V9RBRBj5AiBFzafo9gs1vhnEQBeupXjKXCVubaDSS5s8d9FqwpwexOglVZcWgY+MVM737moQXM4vyEpI/Np1Jv+haUpZdAkQJOu0EHTZkeiPJsxahq5hP28uP4jh5ZofAdmQPaeuuIXnW4mHFjLZ0NmKFkoDVPKSQiXfMPhQpGWRefjOGBSsJe1z4e7uRafUo07JQXvIBlGnZtL36uFBvzYiosg2UfXG98B1H4cQv3iRoG3tegLfNSu2f3qX8q5cLOhWJUkbV/dew/7NPEAkIU9djKI5Y32aW/mLWpd1FIOKlwXVggOPSeOny1VHr3M18w5XstDyDOzS4UKAqWz/hcc7F224j7E/c+yUUAUcvkVCQ1Llr6K3eDdEoSmM6GcuvxtvdOqKQkaoVJOUkZlcrFIwiUwwtaERi0YTXOJfdNHqO1JG3zYLUsgl4Ry57IVcJW0B+OHqCreQqq8hTziJCmBxlBZ6wHXNg4DOfUqwlEIkvJ0lQMaMqKyOpvBzbpk0DrJdlKSmk3norysJCwg4Hva+/jmt/Yh02hiIhLmZbhLc8jAQDiE6v7EXDISKBgara29GMMi32RVDlFGI9uBNdWczXXZmeg6+jFYDUVZdh2bkR+7GYT36gtxu5PgXTqssnLGYALNtqybkpviTw0UhbVzaqmAlHB365gxH/kN79EcKD2iYC49K1GBavQZasJ2jrpWfnu9gO7Iy7zdmI5QrybruXSChE69P/mHYmEPEg08iRyCbnYtnHeKyWx4NV4BwvAJlWScqyQizbEpu4O11InrWYlGWXELT30vrif/sXYxCJSV12MWnrriH72o/g7Wgm6Ig9CNqO7SVt7dVoCsuQqrWE3INzjPSzFsfaHhnsxDaeMfuQG03IDSl0bHgG64EdxGx4RaQsWUv6JR8gefZiLLvfHbSzIzR9SfKSJOFXVVuf3Teu/MWO149iXFaIaY2w91pNsYniT63j1B/eGbaNI2jhjfbBDnUAW7sHi8ta525qnWdc6uzBbrabnxpxHmPpp9l9mGb3wLCrete+AfVqzkWqHdkGeDx4Wia/qvt4CPncNL76DzKWXUX6oksRSaUEXXaczSfo3DVyWLC2PB2E850YQDgQQaYYemdOJAKZQkzQP74FJ02KnKp1qaO22/28MKZao4mZkWybhaTRe5gsRRlVmlhB3yhRqt3biHJGGSrESWikBnoCrXH1LehvoFmwgOSLLkKiPbONJJJIyPjEJ1CVlkIkgtRoJO0jH0FZXCzk0KMilkoSEmKWkHyZUfB2tKBIy0QkkaBMy8J2eDeKtKzYz+mxnRlJkgapWnvmJt1/bjNStRapZuI7KpYtwudBpK4qQSSO7+r0Tvc/hj3W6E5srQfD4tWY1l6JZfMb1P/9l1i2vkX6pR/AsGhVXG0AoqeXesQKJXm3fZKwz0vLUw+d10Imc0kWGYsycbScnxW5R8PX7RR8ZxYg4/LEVAKfdohEpK25EoD2154ceL2KRrDsfAdPaz0iqQzDgpX9h0JOO67GGhCJSa4avKAiSdKgLqyAaBT7sXOMKsY55tlYD+7AemA79N+Eo/Ts2dQvYNR5JfG9D+Og6JNrBbfIB3DVmal/eOu4z6/59Vv4LcLU4Dib7A/ME1wkTRckKuEFaSJMiRKFs6WGU8/8niN//xaH//I1qv/7Y1rfe2bUOjOGhcJa45+NZ5ScGNkYasMMx9IbMpFIR37OsXf5Oblj8C7eeIiEo4RDw28liSUJUoTn4Ak72Gl7nkbvEZq8R9llexFzYGAopF6ajivUS5s/vo0CQXdmlAUFhKxWAm1t/a9pFi9GlpaG+/Bhuh95BHluLtmf+xzJa9fiq5u8lUfD4nykamFXP3ydDkF98Mc8bkcLipR0lOk5+Hu7CXvdBKwWlOk5KFIz8Ha29DuHDLbLjP0cDU3c7tJ+pI2AzYNcL1wCtEyvioWaCVQ48JRrlyD9DEfq6svo2bER+9HTu1893cgNKaSuvhzrvm1jbgOxv0mfkAk6bLS/8CjRyMgrKlPJup9dMuwxkUiEOl1NSkUqiKD2pQQWbRsDhmuuwvbGBqLhge+nRKdDVVGOa3d8xRTPxrzlFOoCYWPeU5YXIdMpCTp8gvY73VCaspAlGwn7vbibh74feNuaSMopIim7YMDr9qN70BSWkzx7MT17Ng04lly5AJFYjLuxhqDDJtiYfdiODb3K7jN3oDBlIlUnxmGpj1hhyQWC9xvxh6h+YGgb5rES7LNr/tUtgto1Q6wgaF+I84VEIsRMyD1ynsSFQOrqxIlbtzWIMWt4l6/kdAUee/zPUSIRrPzg6GHXu1/oIBoRLl93pK+ikOOMhits5YR7+7DHuwINdAXid40VVMxIdDr8TQNDhHSrVhGNROh54QWikQj+piZ8TU0o8/OFHHpUElFILBG1ZfqJRIEoIvHgzbOg00YkGEBTXIn3dCy4t70JbeksIn4fIacdEBHyuFBm5uFqOJNcpcrKI+iwEfZN3CM9Go3Ss62OzGvmTLivszGtLRtRzEhEsiHDyiab/t2v9nN2v9qbSV1zBVKtjmg4MmqbkDN2Y46Gw+Te+v+Q6Qw0PfKnaS1kAPIvLhi1TTgQ5sRTx6l+6njiJzQC+ssuxf72xkFiRqyQY7zmqomJmU01FNy5fKJTHIBIKibzqjk0PzX+eZ0PKEyx5F2JQkXVN349YluJamA9BkfNYTL8XpRp2ShMmQPCupJnLQKGDjGbyJh9BHqGrjHUv0g0wcTxkVCYtJR//YrRG46D2r+NbMM8VmwHW2h9eh+5H1oswKzOINUqqfzO1Rz80tMJtxyeTCRJwrtJCVWfZ7qSlGckKTcx+TIAjm4/zBp+USIlR0lHTfw7kBWrU0jNU43YJhqFXc8JV7dRLBGNuPsSCZ//JkeCihmRWEzYc8bPWp6ZiSI7G8+xY4TsZ8JMQlYrirzEbQ8OmpdUTOqKBLiYbU7canM0EiZgtZA8azG+7naIQiToJ+SKPfh6O1pIrlxA9+aY5aG3vYnUFevxdvZt2UWxbH+LtDVXEbT39hsApCxZR+fbLwg2T/OWU4KLmdQ1JZz6/Tv9YVfnsir1Qxyxv9NvoTk3+VKOOt4lEp3ch/++3a/BSx6nd7+CQcRy5aht+lCkptG7pwZ5Shpp66+na8PzCZi1cLzzxQ3DHotGowTdQWx1VoKe6XxTFSFOUk+oB3eDBXeDBXXh6DHQ8ZDzwUW0vnCAyHmQxDteJIrYTT0S8MeucyNwbu5KNBTCUX0Qw/wV6Gctouu9VwCQG9NQZeYR8ftw1Ay2jJ3ImH2cm8c4WYjEIqruvxqZVvi6ED076ml/Sbiw3Pp/bkW/ME/wULjkWVkUfnQl9f8YfyjcdGOoRcuJciFfNwDSLipPaP/m5pFrs2QUazi60RJ3v2vvyB21Td0eK5bmiS8496FUjxwSFw7OiJkBhOx2pIYzSlm3MhZv7Ng1MNRHrFBMqt2tYWE+UoEv/v4eF47qxCZ4tr/6JBmX3UTx//saYa+b7s2v9a80+jqa0ZZU9bv0eNsakRtM/aFMAL17txANhzGtufK0NbOV7vdexXZYuNAr24EWQm6/oCF8cn0SyXNzsA1jK6kUa/CHz1xoslRlHHNsAiZXzAQdNkJuF6qsPNz1Q+9+hX2+Udv0EXI56XrrBexH95F/52cIWLqw7h9+O3aqadsRX4LeZCOSy1GVn9mRVc2qGiAeRWIxmiWLCXYPvcoeDx1vHKPkvnUT7uds5Poksq6dS+uzk2+WMln0iYKg00bjY3+M+3zb0T0Y5q8guWoRXZtehWgU/eldGceJg0OG0050zKmk4KMrSZ4tvDNgoGfsNsxjJRqKUP3Aqyx68E4kCmGNU/NuW4r1QLNg4chTTSKEh0gyOUndU4FIKibr2sGOlULS3TCymClZqufth+LrM7NUQ8Wa0UOStz3ZNmqbeNCkjBzG6Pec/8JX0CuMt6YG3cqVsdCyUAjtsmUELRY8xweGmEgNBiLuiVsejhXTWuHjKi1baiHBeszT2kD9v4YOgzBv24B525mVcX9PN8d/9uVB7awHtp9OVE0MkVCYnp0NpK8fbHc7EUzryoYVM4GIh2SZCU94kpLK+1bNxOeubkTp2fYWpnVXEbSd2f0yLltH14YX4mgzEF9HC+0vPU72DXcSsFpwN0xtvsn5ikgqQT1/Hqqy2Pc/7a47BjaIRglaerA8/uSEx+p66zjF96xBJBX2ASLvQ0voeOXweWGxOh78lk4A5IZUxDJ53GYX3rbGmEujMQ11XgnuplPoKuYDMaGTiDGnCsPCPPI+slT4jqNw4hdvELQLtxLch6fFSt1f3qPsS5cK27EIKr99NXvv+S8B68gPnecDYb/wu9digQXkdCLt4grkKRPbUR+NlqMj52UVLdKjSJLg94x9EfWyTxWMmLsCYO/2c2iDsLnYOtPIi80TLQA6HRD0027ftAnN4sWk3nRT7IVolJ7nnx+wCyPR6ZBnZOA5eXKYXoRFJBGTukp4ZxnzFLiYTVcsW08JL2bWlFD7x41Dhpo1e44xT385JaGl/bkzy4w3Mpy63N7zv3HNIeOKm9DPX45IGvua5N/xaaKRMN7WRpoe+TMAvXu2EI2ESV17Zcx22W6l+91XsR06s/s1ljbn4jxxGPPmN8i+6W4a//17Aj2TbzRxvhPxeDE/8hiIROT/7AFafvQA0bPDgyLRQTk04yVo99K9qUbw74E8RU3B3Sup+/tmQfudLni7Wgnae5ElG9HPXUbvvi1x99FXc0ZXMZ+Qx4XcaBq2toxQY042cn0Sld+6SvCEeoCWZ/cltFJ8+yuHMS4tEPw+LDckUfHNqzj8zWcTvrCYaBKxM5OIUMRpgQhybxG2JMRQtJ90EfCFkQ/jWiZXSVh2cxabHxlbYdKcKi0Lrkoftd32J9sEz2FJzR05R2dGzJxDsKeHtt//Ht3y5SAS4TpwYJAhgDI/n0BHB669e4fpRVj083OR6YT9UgdtXuxHpneIzWTSu6uBiD8k6EqQ3KgmeU42tsOD3+d69z5swQ6SZenIxUp0MhO9gTYiCJsQ2vnmc3S++dyo7az7tmPdN/Lu12htrHu3Yt07MAa8Z/s79Gwfvq7CDGMkGiXQ1k40GCQaTNxFu/WZfYKLGYCcWxbStbEaV61Z8L6nnGiUrk2vkHP9XaRfdC1hnxf78X0DFsAUpkySqxbSu29Lf87g2fTVnNGWzCLotMVeGyLxX8gxJxURVHzrKuRG4VeiXbVmGh5KfO7JyV9tQFuRgSJlaEOF8WJcnE/eh5fS/MTu0RtPYxLhPKZIS6yj3lSRcVkVmhLhLcnPJRyKcmqnlVkXDZ8Luf7j+ex9qXNUVzOpXMyHflgx6q5MwBdm6xPCP1um5o8sZpyW82N3eiQE34cMdnXR8+KLwx53HzmC+8gRoYcdloSEmG2rnVQru+lO2B+id2+j4CtvprWlQ4oZgN5AO72BWPJubtIsTrl2TwuHsxmmJx1/GLqYnpA4a7qwHWpFPy9H0H5FEjHlX7mc/Z994oJycOrDUX2QLp2B9HXXkn3tR8i49AYCVgtiuRKZNhmxPBYiMVyuX1/NGU1hOcb5K4euLSPwmJNJ3oeXYlwsvPtnxB/i+AOvEgklPtcw6PBx4mdvMO8Xtwhe5LDwYyuxHWrBcTyxOayJxN89uOjrRFFl6QXvc6qRqGQUfmL1pI13dKNlRDGTnK7gjp9X8a8vHBm2gKZYIuL2n1WRO3v02n47n2nHbRP+OSarfGRh6+g+/228L9wMMWLOL6YE+JAn1JL5PMWciAKaa0vHdOOzBbo47+MMZpg0RJLxFzsbjaZHdyakX21ZOsWfEtZgYDrRs+td6v/9G2xHdhPx+1CmZSHT6Ag67TiqD9D64n8I2ocvIGc7EluZl2qTcTedGlRbJhFjTga6qkwKPzZ04c6JUvuX9/A0T16VeOv+ZlqeGbo+z0QQScRUfecapBph68hNJomom6MuNsVdgHq6U3DXCsF390biwBtdBH0jLyBVrUvl848uomTpQJtokQhKlhr40lNLxhReFvRHeOfhxIR75o5gMQ1g7ZxcMaNNlZMzS0fhQv2I/8XDhZshBujn5SLTj7y9Fi8hlx/rgQvDQUVIenbUEQ1FBE2AVqRoSJ6Vhf3oyPape60vCzbmDIkjdUURpZ9eh9yoxtthZ889jw5rvy04YjH69RejXbUSqV5Pyw9+RMhmR7NkEdFAEPehwRa+48G6vzkhuzMAOTctwFXXTecbxwTvezrg626j/bXxmTE4qg9wvPpAQscM2ns5/vPBJitn0/76U7S//lTc8xgKqUZB1f3XJMSVyrKtjvZXhPnMx0PDw1sxLMhDU2IStF9lho7yr1zOsR+en/cCX6fwYkaikKIuMuGqvTDyLY2L88m9Vdi6RaPhc4bY/2ony27OGrFd7mwdn/3PQhyWAD0tXkQiSMlVoR3FRexstj/Vhr1LeFFhzFKOOg9z4+SYaGSUaLjz13PILB2bIP1y1Vtj7vuCFjMJCTHbHnton2EgIZcf26EWDIuEDYcwrSsbVczMcH5Q9rmLaXxsF+2vHkWmVQomZCRJcso+exHVvxi+7k3yRevQrV2Dc/sO9FdcfuZAOELypZcIJmYAGv6xlQV/+LBg/Z1N2Rcvxdtmw35EWOvOGaYf5V+9HGX66KEp8RLocXPy18N/VxJJJBTm+AOvsvhvdwjutmVaW0rW9fMErZUzWXjbbQnpN2V54QUhZuQpaiq+dZXgIYpj4a2/N7LkhswRi072oUuVo0sdu4Dpw2MP8uZf4q96PxbO3TEaiq76yXEXvu0ns8gs1VCzo5f2E04C3rBgVVoSImZkKSlolixBkZODWKXCe+IE1rdiCkusUiFWqQjb7YI5CQ2FSCQidbXwLmaWrTMhZsNh3nJKeDGzppTav7w3E0V2niMSiVCm6/qFadDpE6xvw/xclKMku2pXLMfy5NN4jh0fIGYCHZ3I0oRNJrUfa6f73ZOkXSx8UTexTMLcn97Eke+8MKx1+QznP9kfmI9pjfCLcUSh+mevJ8SGeax4mnup/dsmyr6wXvC+S+5bh/1IG+6G+IsZTiWell7B67UBmNaU0fTo1Od9TQSJUsbsH1yPXJ80JeNbmr1sfaJ1TMUux8trv68f1URgvJQsG1nMBH2RSduZSStSc2JrD3+/V/jaaYKLGd2KFaTceOOAuPSg+YwLj6q4mPSPfQzz00/j3JW4L1nynGzB3V/C3iC9exJnYXm+Y9laS+kX1gtqH6owadFVZp7XyZ3vZ0QiEYv+chsKoxpEsPB3HyQaidL97klq/vQeACnLCin86AqScg1EA2Esuxo4+eu3ByQmZ109m9ybF6JM1xIJhGl6cg8dbx5nzg+uRVNsQqyUsvrZTwLQ8sx+mp4Y6GYlNegJdg+xQhmNIhpUP2ji1D24mZSVxYIXC4RYEuzcn97I0e+9mFBL3fMJWbIKsVyK3yx8IvVkoyk2UfyptQnpu+V/e6dFocn2lw6RsrSQlBVFgvYrlkuZ9b1r2fepR8+v2kxRcJ7swrAwT9BuNSWmWKj2sfMzukEslTD7R9ejq8qc0nm89vt65l5qQp8hvN11HVfb5gABAABJREFU3V4b255MjDuuSCyicpQina3HHYRDk7NafOStbgoX6lFppYLbQQt6p1WVlJB6881EQyEcO3cS6Owk9eabB7TxVFcT8flQz5mTUDGTiBCznl0NRALn0QVykglYPTiOdZA8e+T40ngxrSubETPnKdFolL33PQ7AJRu/xL4vPD0o6djbbqPm9xtxnupGbkhi0Z8+TPr6cjrejBXbzbi0gsKPreDI91/BWd2J3KhGLJcQtHvZ/6X/kXPDfEyriznw1WeHnUfQYkGRl0fQPHDFNmneHAJtwods+c1OGv+1LWFJ+2KFlNkP3EDdXzfR9sLBhIxxPpA8J5us6+ZiWlvGiZ+/Qfe7k1O/LFFIlDKqvnstYrnwIthV203DP7YJ3u94OfGrN1ny0F2CLzom5Rkp/fx6TvzyTUH7TTSO6g7BxQxA7oeXYP/u8A6z0xWxVELV964RPNpjPPhcIf71hSN8/tFFSGTC5bC5egM8+vVjgoVanUvBPN2o+TL1Byap+Djw1HePce1XSvnma6s4ua0HW4dvWBc4gLf+Vj/mvgW9YuovuYRoJEL7n/6EvzWmNM8VM9FwmEBnJ/KMDCGHHogIUhOwRW/ZMlOJfTQsW04JL2bWllH3102C9jnD9MHTcsYxym9xYTvYMsBWNOuaOTQ/ta9f0Pp7XHGPYd/wNikfuhVZZuy6o1m6FHlGOur58+h6+J8T+wWGofWZ/ZjWlaGrTMyqolgqofRzl6Cfl8PJX24g5Dn/awWMBbkhibSLK8i8dg7q/JFXHc83Sr+wnqTc0WPc4yXsD3H8gdcmxYZ5rARtXk784k3m/vQmwXMhMq6chXV/E13vnBC24wRi3d9M/u3LBO83dWUxhoV502JHbqzIdEpm/+gDJM/Jnuqp9NN02MF/vnKMj/529pjyZ0bD7w7z8GcOY+0QLuT6XOZeNnoI9YktPQkb/1xmXWJixQdzkKskLL5+9PvilIkZRV4e/qamfiEzHGG7HUWO8G4/fSTPykKRKqx9XyQQomdXYhK0LiTMW09RfJ+wq9HKNC26igwcJzoF7XeG6UHy7CwKPrIUhUlDNBJFma6j7awkXkWaFl/nxFaPXPsPEPZ40F9xORG/H8NVVxBoa6frn//Gc7x6or/CkESjUU784k0W/e2OhISb9WFaW4a2LJ3av7yHZVtdwsaZSqRaJabVJaRdUoF+fu4FZzkLkH5ZFRmXVyWk77pJtmEeK717Gml9bj85Nwtf0b3si5fiONGJt80meN+JwH64laDdiyxZWAdWgPKvXMbeTz5KyDX964kk5RmZ88AN07JOzuG3unn404e461ezUWrHf003N3r4z5eP0lqduLBYkVjEwmtGtoT2OkPU77MlbA7ncsO3ypHKxWx+pJm6PdZYqJlA21KC3mFFMhlh1+irpmKlMqHJ/6a1ZYL32bunibB3pijjaPg6HbhquwWv0GtaVzYjZi5AxHIp839xEyd/+w6db8VExezvXzOgjd/iGsXVaWwXQ++Jk3hPnA5DEokEu4iOhKe5l9o/bqT8q5eP3ngCKDOSmf2jD2Dd30ztn9/F3Th5q22JQmHSkrIslldhWJyPWJq4+kCrUz9Mp6+OWteZXKsSzRIylMVstYzPLjoeknIMCUmIh1iR56mwYR4r9Q9tQb8gF02RsHbNkiQ5Vfdfw4HPPTmtdqSGIxqJYtleR+ZVswXvW5mRTOW3ruLo916avoV3RTHji6J71yZ08WeiHN/cwy9v3s0t95dTuTa+neFQIML2p9p45Td1BHyJ/UyWLjOQnDayocSB17smLV8GQCaXcGKLhRd+Knw4sKCfmFBvL/KsrBEfFEQyGfKsLIKdiXswTUSI2UyhzLFj3lorvJhZW0bdg5sF7XOGqUcslyBRyPC0xkLNdBUZGBflDwg963zzOAV3Lcd2pB3nqS5kWiUKkxZXXcxYxG9xk5RrRKpVEnL6EEslQz68yLOzkRoNiGSyQcfc++OvUTJWOl4/in5BLunrKxM2Rh+GhXksfuguLNtqaXvuALbDiUksTQRiuRRdVSYpSwsxLitEXXBhhZANh1gmoeq71yJRDf5cThR/j4uTv5oaG+axEgmGqX7gNRb99XbBc4W0ZekU3bsm5oh5HmDeVJMQMQOQsryIym9dRfVPXiMamV72oKrMZMq+fFlCcoYSQU+Llwc/eZDChXpW35ZN1bpUVCPs1HTVuzn8lpktj7bgsExOOPCKW0cP99/57OQaQ7zws5Nc86US0ovVdNUJawct6JXDffgw+ksvxXjVVfS+8QZEBq4AiCQSUq6/HolWi+2dd4Qcuh9dZeaoNq3xEg1F6NlxYYZvDIXclI4yJw/HgT2jNx4Cy5ZTFH5U2KrVygwd2vJ0nCe7BO13hqkl5PJT++Bm5v74AxCNYjvSTvPT+xDLz6zCt79+FLFCyqxvX4kiTUvYE6Dxsd39Ysayo560daWsfPz/EfGFqP/XdtpfOzpgnLS770Q9by4hm41oaLCJRyLFDEDNr98iKS8FbamwIn8oRGIRpjWlmNaU4qo10/HaYSxb68aVa5RIZMkqkmdnkTwrm+Q52WjK0hK6+zJdKb5vneBFJAGIwomfvUHQkbiYfKFwN/ZQ9+BmSj93ieB959y8EOv+Znp2jj3+fqqw7m3C22ZFlS183hRA2sXlyPQqjv/olWnxuZDpVRTcsZzM6+ael9/9hv02GvbbEEtEZJSoSS9Sk6SXIZWJ8NiCuKxB2qqdkyZg+tClykfNl6ndbaX5sPDFWkdCpZPSWevm6y+txNruxWEOEPSHhw2u+Ov/2zfmvgUVM7Z330U9dy769etRz5uHr7YWAHlWFqk334yqrAxZair+lhYcO3YIOXQ/iXAxsx5oPi9iTYUiedkqNJVzxi1m3I09eFqsgieymtaWzYiZ85iNl/x2yNebn95H89MjXLSi0Pr8QVqfPzj04XCEYw+8PuLYqqpKOv74Z3wNjWOcrbCE/SGOfvdFFv3lI4K7N42EpsRE6efXU/q59ThOdmLZVovtYAuuWvOkOTOKpGKSsg2oi1JRF6WiKTKhLjIJvuh0PpK6uoTsD8xPSN8tT08PG+ax0vbCQYxLCkhZLqxdM0DFN65k7z3/xW+ZXoL+XKLRKK3PHqD088KLuj4MC/JY/PBd1P75PcybpsbUSJWlJ+u6uWRdOxdJUvxFJqcbkXCU9pMu2k9Oj8+XSCzin58bObS049Tkz/Wm71T0/9uYrcKYLVx+mKBiJuLz0f7Xv2L64AdJqqxElpoKgCI7G0V2zJXCffQo5qeeGnJ1VAgSkS9j3vz+CjFLKp54sT/L1lPk3bZUgNmcwbS2lPqHtgja5/nO2TsY07nPqcb+zrtoFi8iEgjG8vqiA3eNw47E1yfxm50c/tbzzP/NrYIXxxsVUSyET1cRc3OLhiO4G3pwnuzE09KLr9uJ3+zE3+UkYHWPKQxFJBYh1SmR6VTI+v6frEKRpkWZkYwyQ4cyIxlFqua8TNiXioQP+zobZZqWigTlUjlPddPwz+ljwzxWTv5yA4sfvgu5QdgCiTKdksrvXM2hr/xv2oVYnUvnG0cp+NhKZFrha5r0oUjRMOt712I/2kbTY7vp3Z14cyNpkhzj0gIyrpyNcXGBYA52YW+QI995nrSLK8i6bq4wnZ7n2Lv92Lun3wL8V+e8nbC+Bc+yCjscdD78MPL0dFSlpUj0ekQiESG7HW9NDYEE5spoy9NRZoyUKBw/saS8WkH7nM7I9EbkqSZCjom5R5m31AouZlRZejQlabhqhyh+eL4hAqlKjkStQKpRIFXLkaoVSJJi/5eqFUg0Z/4tVSuQqM/+OXZuIh4SZ33/OqLRKGF3gJAnQNjtJ+T2E3Kf/rcnQMjtjx3ve93jJ+Q6/X93gJDHT9gVmDaJtxGfD82ll6BdNXT4Y8MXvzIp83DVdnPkOy8w7+c3I57CJFeRRIymxDRseFMkFCbiD8X+C4RAJEIslSCSSRDLJIhk4vMyLGQ4QtEAMvFAgamRJi5nRyQRU3n/NUgT8MAa9oeofuDVafPdi4eAzXParvlGwfvWz80h/87lNP4nMVEhQhH2h2h6dBclAruCDkXy7Gzm/vRGfJ12ut45Qc/2Opw1XYIIPrFMgrooVrQzZUUR+rk5iKTC1WiB2E7W8R+/iu1QK5Ik+ZSKGX1pChf/+Xp6jnez+YuvTtk8pjORcOIWEhJ2Nw10dRHomtyQoETsytgPtxK0eQXvdzTECiXGtetRV85GZkhBJB36T9Xyt9/ia2vp/1kkFqNbuAztgsUo0jIRSaUEbb24q49i3bKRsNczqA9FZjaGVRehyMhCZopZ+Ul1yZT+328Gta394dfHtKvmPNmJ3+xEYRI2lCRtXdmUixmRWDRQdJwtMjSnBcrZoiNJflqwKE4fkyNNUgheW0FIRCJRbM4aBTD+v2EkEDpLEJ0WQZ5A7N+uvn+f/r/LP7R48gbGalg2LMZrr8b65lu49+0nGpxaV0L7kTaOfu9FZv/oA1MqaEZCLJXExMpk7yBNEdZAJ9mqCrp9TfgiLtIVBRjkGXjDidmxK/zYSpJnCVuPq4/aP787wEDjfKN3dwNtzx8g+8YFgvedf+dybAdbsB2a3sYYbc8fIOuaOSTlGSdlPGVGMvm3LyP/9mWEPAGcJzpxN1jwNPfit7gI9LoJOnxEgiGigTBIREjkUsQKKWKFDLlehSJNF9uVTdehKUpFXZAquHg5l7q/bOrPhbIfaSMajSISTe2N9f1S72si6NOVrL4jl7IVRvQZsQUdW6ePU7usbHu8hd62+J+5p+eddJyYEuFiNgUhZmKlktx7v4DclE7AYsZxYA8isZik0nKkOn0sUXrnVoK9FgK9Zyqai+UKsu74OKrCEohGCZi7iYaCyFJNGNZcgnb+Ytr+/TcC3Z3njKdCJJURsJgJe9yoCkuIBoO4a4aovxGHna15Sy05Nwl7QzKtK6X+H1sF7XMszP/NraiyDTFBkgDXoQsVsVyKXC4F/QTCRqIQ8saEjfNUN0fHUc3afegwYYeDkM02/nkISO/eJg5/+3nmPHADEuXM52mqqXPtRSFOYr7+MsQiCd3+Ro47NlOoFv6B2rAon7wPC7tr3Ydlay0drx5JSN+TSd3ft6Cfn4u6MFXQfkUiEZXfvpq99z5C0D75i5RjJRqOcOqPG5n3y1smfWxpkhzDwrxp7yzW/PhuWp/b3/9zyOXHXWdJjJnGGLCd6uH5y/81JWOfT8y62MQdv5iNQj1QfmiMcnKqdKy6LYcnv32Mg2/EtxkiqJgxXHZZXO2tb70l2NiaEhOqbL1g/QEQjd0cJhv98rXITel4G+to+/ff+mvyiOVycu/7CvJUE96melzHDg04z3TtTagKS/B3ttPx5H8I9sTcnkQyGamXXYN+xVqy7vg4zX/+FRH/mXhKb0Mt3obY76nKLyTnE58j7PXQ8eS/J/R7WLYKL2ZU2QY0xaZ+J6vJQpVtELwQ6wxjRBS7wUqT5ITc41v1EikUpH7oVlJuvpGI20P0HFHe+uOfCDHTuLAdbOHQ155hzo9vSEihvBnGTiga4LB9cDx3m1fYeghyQxKV37oqIbuyfsv0t2EeK5FAiOMPvMaiv3xEcLtmRaqGiq9fwZH7X5jwjm8ise5vpv2lQ2RdP2+qpzLtaH/l8JCLmrbDLVMmZmYYncxSDXf/di7hUJQNf6mnerMFa6cPkSi2W1O5LpV1d+Vx+y/mYGn20np87G5rwoqZK6+Mq72QYiYhIWbH26fEzlRVWAyA48DeAcVFI4EArqMHMV50GaqCogFiRmZMQTd/MUSjA4QMQDQYxPzaCyiz81DmFZC8ZCXWre8m/PewH4mF6Mn0wj6omdaWTbqYmeH8xr1vP+59+0dvOMk4jnew/7NPMOenN5KUkxg71hmmB327AkIntwNnbJidU2+3KxTuBgv1D22l5DMXCd53yvIicm9eRMszY7d+nQpq//Ie2srMSbF0P1/ofPMYp343dGkP26FWcm5aOMkzmmGsXPapQsQSEX++ay9NhwfmZdu7/DQdtnP8PQuff3wJ6+8p4D9fGnuxX0HFTO+rQyc9iSQSJBoNyuJi5JmZOHfvxr5Z2AKIiRAzlilyMROJY3Gm0fDg3JQzuzQDY9nV5VUgEuFraRwgZM7GcXAPyrwCNFVzJ0XMRCNRLDuEr2hsWldGw7/OP6eeGaYO96EzF0VJso5oIEjEOz3CTLztNg589gkqv3M1xiUFUz2dGRJE3m1LExa60/z0HqwHzh8b5rHS+vx+jEsLEvK9KLxnNbYjrdPa7j8SDHP8R6+w6C8fSYhZxPlGx6tHOPnbt4bdUbMfbo0dm6S0GYVeyQdeu3vAa5bDnWz81Mih0JpsHWW3zSV9cQ4qk5poOIKvx4PlaBfNG07RtadtwudkLM9l7W+upvW9erZ/e/DGQcWd85l73zKO/n0Px/89cKFPppZTcfs8ci4uQp2lJewP03OsixOPHqJ73+C5jZXipUYaDtgGCZmzaT5ip36vleIl8S3uCVtnZuPGUdvo16/HeOWVOPeMr4bJUKgLUwWvaQJg3jo1YsbX3IiqoBjtrHk4D51ZORKJxWgqY8LA19I44Bx5aixx3981vFtc4PQxeXqmwDMeHsuWU4KLmaRcA+rCVNwNltEbzzDDaXSrV6G//DIkupihQchmw/b6mzh37Z7imUHQ6ePIt54n/67l5N+5fMqTWGcQluTZWRR8dEVC+nbWdJ2XNsxjIgonfv4GSx6+W/AdfrFUQtX917Dvk49O66Rtb7uNw99+nnm/uOV9na/Z8r991D24acTQwKDDh7vRIniu1bDjuQPs+uFG5MlKdAV6im+oGvUcXYGBSx++EYlSSu/xbqwnzch1CnQFBgqvKSfg8A8SJuM5Z7woU5K4+M/Xoc3T42q1076tCYVeRdqibDKW5rLvl1uoe+H4uPpO0kmxd41uGe0wByhcFN9nfdINAGwbN6JduhTDFVfQ8de/CtKnaZ3wuzLOmi58nZNbHbUP6/ZNaOctQl05m9xPfhFv/SkQi1GXVSJPy8DX2jSooKVYEdupiQaGvyhHArEPkVguB7EYIpFh2wqFdV8zIU8AqcCFsUzrymbEzAxjRrtiOYbrrsHx7ib8zbEVbEV+HsabbkAkk+HYOvUPg9FolMb/7MB2sIWKb1yJMl1Ym/kZpgapVknld65BJBHe2SnsC1L9wGtEQ4m/lk8VAauHE798kzkP3CB436osPWVfvozjP57eVrqO4x0c+c4LzP3pjdPWATFRRKNR6v7yHq3PHRhTe9vh1kkTM5FghKY3Y4ve+tKUMYmZog9UIk2Ssf9XW6l97tiAY/rSFPzWwaGi4zlnvCz59jq0eXqq/3OAow/t6bfpNlSYuOSv17Pgy6vo3N2Kuz3+52OHJUBq3uiLEqkFSTjM8dXJSaxv3lBEowQ6OlDk5grWpWltAlzMtkxdocyw20XLg78jaO1FmZ2LfvXF6JevAaBn4xu0/vMvA3JpACL+2IdZpBheNPQLnmBgUoQMxOpV9J62ThSSRPzNZ7hwSb7kYnqeeQ7rG2/iOV6N53g11tffpOeZZ9FdtHaqpzcA26FW9n7iv3S8fnRaJyjPMDYqvnY5yjRhLer7qP3ze3haz18b5rHSs7OethcPjd5wHKRdXC549EAisB1q4cj9LxByT79iiIki5PJz9P4XxyxkgGlvu91XGy4cHFwHynaqB6/FLcg540FXaCBzRR6uFvsAIQNgPWGm4dWTiKViCq8dX2H1k9t6yJuTzLzL04dtM/+qDPJm6zj+Xnx50VMi8cVK5bB1U+IlKc+IOl/44maWKRQzAPrla5AZjHQ8+Z9BrmVD4e/qAECRNnwImfz0MX934gqXDoV5Sy1pl1QI2qc6PwV1fgruph5B+53hwkRqNOBvGpxT4G9qQWqYfon3IU+Ak7/aQOebxyj74qWoCxJXwPFCIGD14Ouamp30kci+cQGpq0oS0rd5yyk6Xhtow3xl2TfY0vgw7sDErovFKSsRI+FUz5b+14xJeVSlXY5KpqPJuo8ay6YJjREvdQ9uQj8/JyH3+5LPXYLjeMe0v59Y9zfHDEMeuAFVln6qp5NQXPVmjv3gZbxttrjOs09zMdO8oZaSm2ex6KtrMJabqHvhOLbakT934zlnPKQvzgag+0D7kIVT7XW9ABjKx7fz9faDDcy/Ip27fjuXwxu6OLGlZ5Cb2ZxL03D1BnjrwYa4+p50MaMqLUVVXEygW5jCh4kIMXM3WKa06JhIJke/6iICXR1jEjIA7hPHiV4TQZmThzw1jYBl8PurW7A41rb66LD9RE4XFBQrVSASxVVXZjh6dzcQCYQEt9g0rS3F/cj0vvnMMD0IWW0o8nIJnnPdUeTlErLapmZSY8B+pI299z5C1rVzyb9rOfKJ1Ou5ALEfa6f9xYOYN52adhXvNSVpFH8yMbt+fouLml8L5wZ6LnU92we91utpZmvjw8zJuGbY86RiOZVpl3Kk8zXB5xTxh6h+4DUW/vkjiGUSQfuWKKRUffca9n36cSKB0YtCTyWe5l72f+ZxKr99gRqGRKH12X3U/2PbuP4WAZsHT3PvpBUcjZeeY11s/drrLPjiKopvqqL4piqsNRbqnjtG4+s1RIKDo2bGc854SEqLlZ8our6Sousrh20n146vmHJvm5cH793P3b+by7wr0pl3xeAdGnOjh39/8RCO7vh2IAV9uky/++7hD4pESPV6FDk5IBLh3LVLkDHTEiBmpjLEDGJbiiKxGGmyAWVuPv62FqKjhIWFHDbsu7aiX7GWzA/fTfsT/z5TZ0YqJfXya1HmFhByOrDtHj4/INhjJhoOI5bLSV60HPveHRP+fcK+IL17m0hdWTzhvs7GtK6Mxkd2CtrnDBcmji1bSLnlJqQGPf7mFhCJUOTlkXzJRVhfnt7x8tFwhLYXD9K54Rg5tywi5+aFyN7HzkZBpw/zphraXz6Eq3Z6WrRLVDJmfe8awR+6IZZDUP3T10ewYZ662ERjUh5KaeJyvVx1Zuof3krJfesE71tdmErJZy6i5reD6w1NN4IOH4e/+RyZ18yh+FPrBM9JnSo8zb3U/PZtbIcntrtiO9w6bcUMQMeOFjp3PUXmqnyKri0nc2Uei7+5jvLb5rHlq6/jahu8yzyec0ZCPFQO3+lwNmuNBXtt77DnutqGdyMbjaZDdn561TbmX5VByRIDyemxe5m1w0vN9l4Ob+giHIr/GiaomFHPnTtqm2gohH3LFuxbtozadjRU2YaEJHqZp8iSuY+I3491+2YMq9aRe+8XBhwLu10ELN3Ytm3CVT0wxMCy4RVkhhTUFbMo+MI3CVi6iQQCyE1piOUKwm4XHY/9Y0RL2ojfj333NvQr1pL2gVsxrLmYsMeNWKFCrFTS8IsfjOt3smw5JbiY6XOxm8pdtBnODxybtkA4gv6Ky5BoY/kLYZcL62tv4Ng2eBV6OhL2Bml6ZCet/9tH1rVzyb55YcJyMaYbEX+Inp31dL1TTe+uxmm3C3MuZV+8FFV2YsIXW57ai+1gy7DH0zVl5OkXIBHJ6XKd5Hj320SisRXuK8q+zramf+Hyx0Rgtm4Oufr57Gx+BIBkZSZzMq5BJdXS7jzOsa43xzQnuUTF/Kwb0SrSkIikXFL8WQAarXup7xV2wan12X0YlxRgXJwvaL8AWdfOxbqvGfPmGsH7TgQdrx6hd3cjJZ+5CNOa8zePNOTy0/TYLlqf2y+ImYXtUCtZ147+PDqVRCNR2rc00r6lEVWamgVfWEnOxUUs+sZaNn3+lYmfc1oPDOeMqTQOTsT3dsfqKvYe62bfLyf+jD4cQV+EPc+3s+f5dsH6FFTMdD700LDHotEoUb+fQEfHgOrzEyERuzLeNuuUu2Spy6tIKiwmGgoR6DGfSe4XiZFoNKjyi1DlF2F+7XlsO8584KKhEO2P/xPd/MXoFi1HkZGJSCIlaLPiPnkM69Z3Cbuco45vfuMlQg47ugVLkBlTker0hN0ufC1N4/6dLDvqiYYjgjv6mNaV0fSoMLt8M1zYOLZuw7F1GxKNBpFMRshmEySMcrIJ+4K0PLOP1mf3k7KiiKzr5mJYXNCfJHqhEHT66N3dSO+ueiw76glPY/vcs8m4Yhbplw4fojERnDVdo9bY0iuz2Nr4D8QiKYuzb6XQuHTIsLGhsPs62Nr4MJWm9YjFY388CIS97G55nDz9QtI1ZexpfXLM58ZNFE784g2WPHQXsmRh7ZoByr96Gc6azilzM40Xv9nJsR+8jLY8ncKPrTqvQs9CLj+tzx+g9Zl9hFzCGRtM97yZc/F2u9nxvXe4cUMepnkZgpwTdMeul6p0zZDnp84fnF/dZ++cvjgbsVRM5DxySRRUzHhOnBCyu1ExrUuAi9kU78oklZSTdfvH8bW30vDr/xtSfGhmzyPzQ3djWH3xADEDQDSK48CeQdbNcRGJYN36rqCFNUNOH7ZDrYIXjTOtnREzM8RH2OWa6ikIQjQaxbK9Dsv2OuSGJNIuriDt4nJ0lZmTVjROSKLhCK5aM9Z9TfTsqsdxvGPIJNTpTFKekdLPX5KQvsdqw9xk20coEgACNNsPkK9fNGYxc74Q6HFz8lcbmP1/HxC8b6laQdX913DgC08RDZ8/D3POk10c/uZz6KoyybpuHqZ1ZUimqY2z82QX7a8cpvudasJ+4XOU/D0uvG02VNl6wfueKDkXFWI50oWvxzPgdWOFCalKirt98DPfeM6x1/cSCYYxlptIX5xN197TdWhEUHnnAvQlg4007PW9tG1pJHtNAQu+uIqDf9wx4O8jlonJXJ5H94F2gq7xLy7p05WsviOXshVG9BmxMDNbp49Tu6xse7yF3rb4C1pPz0/6GFBlJqMpSRO8X/OWWsH7jIfkJStAJMK6ZeOwuyh9CfxSnV6wJP3JwLzllOBiRlNsQpVtwNs2E2o2w/DI0tMI2+z9u8ISrRbNkkUEzRY8R4Y3xDhfCFg9tD63n9bn9iPXJ2FcXohxSSH6eTnIDdPTNCDkCeA80Yn9aBv2I204jncQ9gWnelrjRiyPJZFLlIkpbFj7p3fHZMMcCJ954PGH3Mgl6mHbns/FWS3b62h/+TBZ1wkfTqSrzKTw46uo/3viQm0SheN4B47jHdT+6V3S1leQtq6M5NnZiKSTX4mjj2gkivNEJ5YddZg31cTtUDYebIdbEy5mslbnozSqkKnlaPNiY6kztFR9dCFBd4CgO4D1pKXfBQyg6v8tIrnIiKPBirvTScgbJCldS8qsNIjCkb8PLuI8nnNCniA1Tx2h4o75rP3dNXTvjwkQfYkRdZaOhldOUHjtYJfZPQ+8h+p311B8UxXZFxViO2Uh6A6iMqlJLjQg08h59ebHxy1mZl1s4o5fzEahHig/NEY5OVU6Vt2Ww5PfPsbBN7ri6ldQMWO44ooJ92F9c2wxut4OO++t/82Ex5tuSDSxGPhocPgPijw1JuLCbtd5I2QA2l86RPtLiakVkCjkSXpCAQ87PvT3qZ7KDBMg5eYb8Z2qw/bW24hkUjK/8FlEUhmSJBW9r74Wy6m5QAjYPHS+cYzON2LF1ZLyjCTPykJTmo62NA11UWrCHriHIuwP4euw42nqwVVvxt1gwVVnwddlv6Dq6EQCIfbe80jCx8nLW0NxydU0NrxDQ8PgZPWYeInlxCikGvzhMzUootEw4rPKyykkQ4egTBeSkkwsW/7lAa9ZLMc5cjj2Ptf87m1qfjd8wr5Gk8mChfficLRw6OA/EzrX6UbI7e+/50qS5BgW5mFcUoCuIoOkghTEUuHNKfoIOn24TnXjrOnCcawd28EWQpMcJnryVxs4+asNCR1j0dfWoDINXCxQpamZfe+SM/N44jCH/njGSOnEfw9ScHUZySVGtPl6RCLw23y0b22i5qnDmA90DBpnPOcAHPnbbny9Xgqvq8A0L5NIMExvdTd7frKJgNM/pJgJOPxs/OSLFN9QSd7lJaTOyUAsE+Pr8WA50knbpoZx17XJLNVw92/nEg5F2fCXeqo3WwZZM6+7K4/bfzEHS7OX1uNjD/UUVsxcfvmE+xirmLlQ8Xe0ocorRL9yHd6mhv58mT4UWTlk3PwRAJyHx15Iaob4EYklLLjqG5za+Ri9bef/6v37GXl2NtbXYtcWzaJFiGUyWh74GUlVlRiuuvKCEjPn4mnuxdPcC6+f/gyLQJGqJSnHgCpbj8KkRZ6iRpGiRqpTIVUrkKrlSJQyRFIxIqkEkUhENBwhEgoTDYaJhCJEgmHC3gAhh4+gw0fQ4SXk8BGwefB3O/B1xv4L2DwjT3AGQSkwLMbu60AskpCnX0CX62T/MVeghwxtBU5/NyqZnuzkOQN2ciaKP+RCLTcikygJhn2IRRIi0fGbNfj9dqqPP41MpkaryyY9ff64+gmHx56PoVAmEwp6CYfPjxytsRD2BLBsrcWyNRZ5IpKKURekoCkyocxIRmHSoDBpUaRqkCTJESukiOVSJHIpIomYaDgS+/6HI4S9AcLuACG3n6DdS6DXTaDHja/bibfViqfVSqBXmCKO052XP/Bo3Oc0v11L89vxRQCN5xyI7YjVPHmYmicPD3n86ZUPDvl6JBjm1P+Ocup/wj73XPapQsQSEX++ay9Nhwc6otm7/DQdtnP8PQuff3wJ6+8p4D9fGnreQyGomGn5+c/Rr1uHdvly/K2t+BoaCDudEIkg0WhQ5OejLCzEfegQvvp6GGfhTLlUTVbqfEzJZWhUaUjFckJhP05vJy3de+iyVQ9ob0ouY0HJbRxpeB6Hp43S7EsxagsQiSQ4vV00dm6j23ZiwucIgXXT22gqZpNUXEbh17+Pv72VsNeDWCZHlmpCpo/ZDXobaul5R3gv/xnOoEstRCyZvBXsnGIFf9kw0NRi19sOHvjk2IwXiqqU/OTxIk4e9PL9j8ZXcOpCR6xQxK5FgHb5UhzbdxANBPC3tCI1Tl8Lz4QQjSUN+81OrAcGFxKd4fwlFAnQaj/Mirw7kUvUdLlO0tB7JgTleNcGZqVfSb5+Ee6glYbeXWQnz+k/Piv9CoyqPJRSDYhEpKjycfi7ONjxIvMyryNZkYlCpoFolHRNGVZvK0e7Xu8/v9tdS4a3nHWFnyIcCXKqZwut9rE/kJxLOBygszO2aGdMKYtbzLhcHWzZ/MMxtxeLJSxb9hWOH38Si/l4XGMJjUquZ03V5wF469CPiUaFy9+JhmL5adPV2nyGC5PipUYaDtgGCZmzaT5ip36vleIl8blBCipmJFot2qVLMT/1FM7dg2P4ILYqmnbbbTi2b8dbO778lNy0JRRnriMU9uH0duMPOklSGDFqCzFqCzna+ALtPYPDmdL0FVTkXUUw5KXH2YBMosSgKWB+8Yc41vQybZb9gpwzEUJOB81/+TX6VRehLqtEkZWDWCYnEgwSdtpxHjmI69hBXMePnFchZucjyRnlkzqepSPIb7/ags4gpWSOinXX6+PuIxoFrzvxtrWpmTJc9jA+z/mRIBvq7UWekYEkKQl5Xh7d/46FqYiVSqKR6W3zmyiUWilFS4eupu6xBWjcN5OHdr7xdu1vAehyDW0tbPO1s61pYLhVi/1g/79HsmI+1PHyqONHo5ExtZuuJCfnI5nEBawZLlxEIpApJciUYqRyMdM5Pc3WKZyT3Egk6aTYu0Yfy2EOULgovu+hoGLGeMUV+NvahhUyAK59+0hetw7DFVeMW8y0dO/G5enCbK8ZsIVdkL6SspzLKEhfOaSYSTdU0ti1nVOtbxM9Haxt1BayqPROKnKvpNt2gmDIM+FzJkrY46bnrVfpeWvixfx0pkIySlahTS1EptAQCQcJeO04LI20V2/E5+4Z0F6hNpJTuZ7kjHLkSi2hgAeHuY7W42/jsXcOaKvPqKBy7Seo3f0UTnM9eXOvQpdWglSmIuC109t2hJajGwiH/IKcByCRKcmuuAhjzlwUaiORcBBXTzPtJ97F3j3852ms74M+s4LM0tUk6bOQK2PF38pXfXRQfzv/93VBV8oAfJ4I7z5vA2DhWm3cYqb+uI/bFiR+NVEqE/HXt8r49Zda2PnW+WFf6ti6jbSP3QVRcG7fEbNlBhQ52YQsPSOffIFStT6dWx4YOnm66YCVB++YKUg7w/sLo1H4cg8zXPgk6aSUr0ohf66O7EotKTkqktPkSGRTZ7oQD1+sfGdSxnFYAqTmjW6nnlqQhMMcn8ASVMwocnNxHzs2arug2Yy6qmrc4wRCnkGhZABN3TspzV6PWjl0Ic1Q2Meptnf6RQlAr7OBbls16YYqMgxVtJj3Tvic6ULurMvJmRXLY3Jb23CYG5DKlKgN2aQVLKb58ECxpE3Jp3LtPUhkSly9zTgtDchVyRhz5mLInk3N9v9ibR/8sGzIqqRg3rVEoxEc5nokEjlaUyGZZetI0mdz/L2/DTm/eM+TK3VUXXwfKq0Jn8uCtf04MoWG5LQS9Bll1O97jq66HYPGied9iEbCuG0duG0dGDIrSUrOoLf1CF7XwNpD0QspczlOKhcloVCdHxfpPhybtxJo70Asl+OpPhMeGvH5sL72xhTObOooXSl8weGpQqVKITdvNQZDCQqFjmg0QiDgxG5vpqvrINbewQsdSqWBgoKLMRhLkcu1hEJebNZ6Ghs34nYPdNIxppQxb97HMJuPcvTIY4P6ys+/iKLiK2iof4vGxo2Dzquufga7rYGioiswGIuRSpX4/Q7M3cdoaHhryPwMjSaTouLLSU4uQCQS43S209S4kUhEWCvbweO00VD/FoGAi2XLvzzAaGC87wOAXK4hI3MhKSmVaDTpSCQKQiEfLlcHba07MJtHf3YYCzKZmtVr7h/wmt3exP59Q9+HUlLKyclZiUabiVweM+CZM+fOQe3ee/c7RKMRRCIJK1d9A5lMw44dP8fvGxwyIxKJWbnqmyO2meH8RiQWMeuiFNbcnkvpMgNiyTTeepkmnNzWw/Jbspl3eTqHNgztVjb/qgzyZuvY9sTwhYGHQlAxE41EkKWOfoOUGY1EExAiFY1GCITcKGRaRCLxoJVzh6dzyNX0XmcD6YYqdOpsOEeYjOec6YAhq4qcWZcTCng5ue1fOMz1Zw6KRCTpMggFzuwoiSUyylbehUSmoGb7f+lpPRPnrEnJo2rdJyldfjsHX/8FAe/AC3NKzlx6245xaucjRMKxG61CbWTe5V8mOa0EbUo+zp7BeR/xnle05FZUWhNt1e/QfPSN/jA7tSGH2Zd8hsIFN2DvrBmw2xTv+2DvOoW9K1ZrSKFKJik5A3PTvhkDgLNYuPb8rDrvq60b9Jr70Pjj+c9nRCIoXj50iNn5RpI6jcWLP41YLMfhaMHpbEMmU5GUlEZm5iJCQc8gMaPT5TFv/seQSpU4HC3Y7U0oFDpMabNJNVVx7OjjWCyDF8zGS2pKBSUlVxGNRrFZGxBLZOj1heTmrUajzeTggYfPmV8u8xfcg0Qiw+FoxevtQaVKYd78j9FjOTnMKPEz3DjzF3yCjo59go0DkJ29nILC9acFTCeBgAOVKhWDoRiDoZjq4/+js3PiYdvhsI/jx59CJlOjTjKRlb1sxPaRaBiXqwOXq4OU1ArU6nTM5mN4PecWz47db6LRMO3teygouISszCVDOsoZDCXI5Vp6e2tmhMwFSPFiPTd9p5zsiuntBjjdePvBBuZfkc5dv53L4Q1dnNjSM8jNbM6labh6A7z1YHx5v4KKGV9DA0mVlegvvhjbe+8NzukQiUheswZFXt6EC2ym6kpIN1ShTcpAIdMgEcsRi6WIRcPbDQ4XDuYPxoroyaWD/fjHc850IKv8YgCaDr088AEeIBrFYx9o5ZeSOx+5KpmelkMDhAyAq6eZjprN5FRdRmbpaprO2dGJRiPU7/1fvyAB8Lt7sbQcJL1oOWpDzpBiJp7zVLp0DJmV+FwWWo6+OeCz5ba20t2wh4ySlZgKl9By9MxKe7zvw/mGziDl0b0Dq41X7/PwjQ8OfnA/m4w8OTd8PJV5qzSkpMuIhKP0doc4ccDDppdsHNo2sLDkonVarvtoCoUVKgxpscvGt/+WP6jfG8uOEg4P/N4nacTcdK+JlVcmk54rJ+CLcPKgh+f+buHwjoHjLFyr5Qf/KuD3X2/l2G43d34tg7kr1Gh0Eno6g2x/08Hjv+s6b3J1pivppVo0KYqpnoYgZGUtRSJRUHPyRdraBobGaTSZBIMDnZXEYhmz53wEqVTB0aOPYe4+s1ARe7j/BFWzPsSunb/F7xfmQdSUNhuL5TjHjj7Rv7OiVBpYsvTzGAzF6HR5OBxnzBgqKm5CIpFRV/s6zc2b+1/PzFxEReUtgsxpMscBaG3dgcvVQU/PCSJn5an1WU3n5a8VRMxEImG6Og8Csb//aGLG2lvbL3YVimTU6nQ6O/ePaADQ3r6b/PyLyMxcTGPjxkELnhkZCwDoaBdIEEaj5KQsJCdlIWplKiLEuP09tPceotmya8jFYZFITLZxPlnGeWiUaYjFUrwBG2b7SRq6thEMDy5MOBbTgVm515GdsoCG7m2cah8YniQWScg0zCHLOI8khRGZNIlgyIs/6KDX1Uin7RgOz/D33BRtEXmmpeiTcpBKlARCbnpdjTR0bcPl6473XRMckVjE1Z8v4tJ7C6Z1DsxkIZaKiYxSxPdsetu8PHjvfu7+3VzmXZHOvCvSB7UxN3r49xcP4eiewjCz3tdfR1VcjPHaa9GtXIm3tjbmIBSNItHpUBYVIUtNJRoKYX1jfKEdIkTMLbqFdEMVwbAPi/3U6bwVL+FIgIrcq5BKhrlJD/PpE/WXyx5it2g850wxYokUbUoeRKP0tIytrktyWjEAts6hV/2sHdXkVF1GcnoZMFDMuK1tBP2Dq6r73TYAJLKhYyTjOS85vRQAe3fdkBfYPlGiNmT3vzae9+F8w+MK85svt6A1SMktUXDlbaM7c+WWKPjVcyUoVWJOHvJQd9SLJllCbomSS28x4LKFB4mZUChKQ7WPhmofSy7RkleqZMebDtobB15wIufcVA1pUn7yWBHZRQo6mgLs2egg2Shl3koNC9Zo+et323jjiV7OZfHFWj72rQwiYTi6y40yScysJWpu+HgqRVVK7r/j/HBrS6ky0XN8eMcgsUyCIlmB1zK59sUlF1CIWV/hx0h0cPiVyzX4wSktfS4KRTLd3UcGCBkAh6OFluYtFBSuJydnJXV1rw86fzxEoxFOnnh+QIiYz2elu/swWVlL0emy+8WMVpuDWpOBz2ulpWWgZXhHxz6yc1ag1WYzUSZrnD6CQfeQoWQtLdsoKr6SpCSTYGMlGr/PTk/PSVJTKzEay+jpObM4K5HISTXNIhj0YLFMPIcxFAlQkXMVuamLCYQ8uH0WlPJktKp0yrMvR6vK4GjzCwPOkYjlLCj6MEZNAQAun5lIJIRamUJB2koyDXPYV/coLp9wbmYikZhFxXdg0OQTjUbx+HvwB50o5cnokrLQJWUhEkmGFTNlWZdSkLYSAF/Qgc/XjUquJ9Mwh3R9FUeanqfLNnUOc2KJiDt+PouF1wx+AH8/IRKLmHP3HMpvKkedruZ/1/4Pd7eb4quLCflCNG0c2X216ZCdn161jflXZVCyxEByuhIAa4eXmu29HN7QRTgU/3O1oGIm0NZG+1//iumDH0SemYl26dJBbYLd3Ziffhp/S3zxcH2kGSpJN1Th8VvZfeJhAufsnFTkXjXsuYphdlEUp+NkA8HB3ujjOWeqkSk0iMQSgj7nkEn0QyFXJQPg99iGPB44/bo8KXnwMe8wSeCnRcdwKxjxnKdI0gOQXrSM9KLhV9qk8jPVzsfzPpxvhIJR3nvRBsSsmcciZq74sBGVWszfvt/Oa48OTH4vqlJi6xns7nVom6tf4KRkyMgrVfLu89ZRDQA+99McsosU/O8v3Tz6266+Py0ls1X87KkiPvmDLA5uddHZMjBnYNVVyex628EvP99MwB+7sKXlyPnDKyXMXaGhfEESJw9M//ol635/Na/e8hS6Qj2ORht+25m6UTkXFbDiBxcjUUjpPWFh85ffwGcdvFqaCC6kfJmuzkNkZ6+grOwGtNps2tt24XJ1DtveoC8CoLdnaMevnp6TFBSux2AsgZE3OMeM09lOIDB44cbnswEgkSr7X9PpcgCw2uqHXHG32xoFERmTNc5oxPKbXCgUuiHDw6crbW07SU2tJCt76QAxYzLNRiKR0dGxR5D8JqlYTk7KIqpbX6XFcmanJ9+0nPLsy8kyzqWxe/uAnYvKnKswagpwers41Pg/PP7YgpFYLKUscz15pmUsKPowO048SCgiTD2dVG0JBk0+3oCNPaf+jS945t6glOlI01dgcQxt0pNlnEtB2kq8ARuHG5/F7mkDYgsVBWkrKc1cz5y8G3B42vAGpiZs76bvlL3vhQzArNtnUfmhSmqeq2HeJ+b1vx4NR5lz95xRxQxA0Bdhz/Pt7Hm+XbB5CSpmAPzNzbT+6lcocnNR5OUh0cRiCsMuF/6WlpiImUC+jFaVAUC3rXqQkElSGIfflQG0SZlIxDLCkeCA1w3aAgAcnsFv7HjOmXJEseTs8SSpD791OvyeanScRdHiOy82vtvaNmJomM911sP5BN6HCxmROPZeBgODHxrqj/sGvTZecksULL5IS3ujn8d+183Zzyi1R728/YyVq+9IYf2tBh77zcBkwHA4yp++3dYvZAC6WwNsedXOFR82UjJHdV6IGblGzvUv3oZEISXsD7H1m2/TsTO2kDPvvqUc++cB2ne0sPirq5h9zyL2/mJrwuckkYkpWBSfh/90xuFo5sjh/1Baei3Z2cvJzl6Oy9lOa9tOujr3DwhpAlAoYi6Fw4WQ9b2uVA5euBkvgcBwCzexz7forOurXB67Zwb8Q58j1ALaZI1zNsaUMtLS5qDRxJLtJRI5YrEMsThx1egTRW/PKbzeXlJSylEodPhPv49nQsyEy6Vt7dk3QMgANJl3kp0yH40yDaO2oF/MJCkMZBrnEiU6QMgARCIhTrS9iS4pC706l5zUxTR2bxdkjgpZ7PPk9HYNEDIQ22lpNg/tcitCRHHGRQAca36pX8gARKNRGrq2kaorxaDOIydlMac6Jsd562zmXZHG6ttyJn3cycDVG5+YLbuhjO0/3k7L1pYBYsZaZyU5X7hrZrwILmb66BcuAuM7rcrVyoFb0lKJgqr8a0c8VyKWUZ57BdXNr/Wv/qToikhLriAcCdJpHbyFOZ5zppqgz0k0GkGm0CCWyIiEg6Oe4/fEakrIVfohj/ftyAQ8U7MqEvDaAHD1NlO/79kxnTOe9+H9wOaXbVx7Zwr3/SibktkqXn+8l8YTwomYPuatjN3cjux0EwkPFpRNJ2NjFs8aHIZYf8yHvWfwqqa5PfY3VGvPn4efA3/YRdObtWSvzWfup5f0ixlNjo7md+pxtTk4/Lc9LPvuukmZT/4CAzLl+fP+jYWenpP09taQklJBZtYSUlLKqai4iby8NRw+9B+83sTab4tEI7v7CVrwcJyLR5MxznDvg0gkomrWbaSlzSEU8tLTcxKL+XgsPDzsp7T0OqRn7U6dH0Rpb99FcfFV/bkzCoUOvaEYp7NtyBDH8dJhHdqoxOXtRqNMG5C7m6orRYQIm7t1gJA5m/bew+jVuaQnVwgmZmzuFqJEMSWXUZi+mhbLHkLh0SMiNKp0VHI9obCPXlfjkG3s7lYM6jz06skXFHKVhJu+deFYdrt6AtTttXFqt5W6PTY6awfvGI+EOl2NvWnwc2A0EkUsHfk6mFmqwWHx47YK/yyWMDGTKLpt1ZRkX4wpuZQl5R/F6elELlWToivC7e/F6mrGoMkb8lyrs4lM4xxSdCU4PR1IxHKM2kJEIhEnmt8YMtl/POdMNZFwELe1FY0xj5ScuZibRk9CtHfVkFa4FENmJd0Ng1dQDJmxJHN79ynB5zsW+hzGktNLEYklYyp0OJ734dzzIZZ7cyFx8oCHH32ikXu+l8lVt6dw1e0p1B/38tqjvWx8zkooKMxOVmpWrOjVFR82csWHhw9/0yQPfrDu7R76Ytcnis6X3MtIMELdC9VEI1EaXz/Fgi8s7z8mEouIBGOfY0ejDZVpcsxESlZeGC5m5xKNRrFYqrFYqlEokiktvRZT2mzKK24c4Bbm89uAWLL3UPS97jvbhar/KzH0J08mF87VqG9HRK4Y2jVQJhNmrHGNM873wWSaTVraHLzeHvbt/esgU4bS0uvHNOfpRkf7PgoLLzstZt4lLX0uIpFI0F0ZALfvXGe1GH0RI2eLSLUiFkI6UsJ83zGNSriwKZfPzKn2dyjNvITSzEsoSl9Dl62a9t6Dw4oUAM3phWmpRMnl87834hgyadKIxxPB2jtzSU4/v81Sjm60cGJrD7W7rXTWTWzH1dnqJLUqFUfLwN23/Ivz6a0ZWjz3cfP3KiiYr+dH67fEneA/GufdU1og5GHPyX9Tmr0evTqXZHUO/oCDNssB6jo2UZCxalgx4w3YqG55ldKs9Ri1BYhFUhyedho6t9BtGzrxfTznTAfaT26ibMWd5M+/Dq+zG1fvwF0yldZE0OciFIzF6Pe0HiHXacaYM5uU3Pn0tBzsb6sx5pFZtpZIOEhnrTCrOPHisXfS23YMY/YsChd8gMaDLw/YaRGJJRgyK3B01/f/ThD/+3A2vtO1ZfSZlViaDybmF5si9m1ysv8yJ0su0XH5rQYWXazlsz/J5oaPp/KjTzTS2TzxOGrx6ZjF+uPeEXd+OpoGjzWeBMDpiLfHgzY3GUeTjaR0DXKNnLSFmf0J/2L5aSEnFhEJTM6K+4WULzMcfr+dY8eeYE3K90lOHui619tbS2bmYlJSK+joGPzQmZJaAYDVeiZhJhyOfX6HCz3T6wuFmjpOR+tZfYo412QmWZc7ZeOM933QaDIBMJuPDxIyKlUKUun0eFiMnBYHYvHYqo8Hg27M3UdJz5hPsj6ftLR5RCIhuroOCjqvePJa+kLtzw2NP5vw6f4kYhkikUiwUhmN3dsxO2ooTFtFhn4WWca5ZBnn4vJ1U9P+9pA5M1KJsn9OTu/QtUf6mOx8GbFExJqPxL8b5HOFaDhgp+mwA1dPAI89iNcVGvAVu/dv8/pDvs+mfp+N3S8M3tWTysXIlWJ0JgWGLCW5s3QYs8e2m9lxysXWJ1rj/j2G4vC/DrPiWyvQF+sBKLm2BH2RnoJLC3jnKyOHAGaWamirdgouZOA8FDMQW6U4WPfUkMfq2t+jrv29IY+JxVJcXjMH6p4c81jjOWc60NNyiI6UPDLL1jHn0s/j6mnB5+5BIlOi0qSi1Jo4vOE3hGyxh/hoJMzJ7f+l6qJPUrbiDlzl6/C5LMiUWnSmIohGObXrcfzukZV3Iqnb8xRy1T2kF6/EmD0Ht62dcNCH/HQ9GIlMyf5XfzJAmMT7PpyNuXEf2ZXrMeUvIkmXjtfRjVgqRyJTDlsI9HwiGoHdbzvY/baD1AwZH78/k1VXJfOZB7L57p0TdwuzdMZupicPevnrd9tGaX1hUv/SCS596Hp6j5sxlKfSvLGBpd9aiyZbh73eSvF15Rz79wGKrinDXm9N+HxUyTKyKnUJH2cyMZlmYbc3Ewg4B7yu1eYgkcjxeQe+r+buo3gKLZhMVaSlz6W760wIj06XS27uKsLhIG2tZwrwulxdRCIhtNpsDIbis4SOiPz8dWg0GYL9Pg5HC253N2p1Grm5q2hpOZNHlZ6xgGR9gUDjtOLxmElKMo15nPG+D31GB2r1OeHhUiXlFTcK8esIgud0OGJKSjndXWNzwGxr20l6xnwyMxah02XT1XWYUEj4sN2x0hfaJRXLh20jEZ8RPPEKGckI/ULs+exo84ucaHuDTMNsclOXolGmsbDoIxxpep4O65EB7fuElS/gYPepf8U1l0RTuSYlrl2Zhv023n6oieObe4hGRn5fg/4IctXgqARrh4+dz4wtF1ufoWDOehPLb8kesebNZZ8sQGdS8NT3qocM+Y6H+jfr8dv9zPvEPIKeIPPvnY/1lJWNX99I67aRBZNULsHSnJhopvNSzMwwNhoPvoyts4b04pVoU/JQG7IJhwIEvHY6ajb358n04bF3cHjDb8iuvBRDVhVqfRahoJfe1iO0ndiI2zq1D6ShgIdjG/9MevFyUvIWoE0t6Hcrc1ga6G07OqigJ8T/PvQR8Dk49u5fyJ1zFRpDDknJmYQCnil/HxKBpTPIr77QwqJ1WqoWjxzuFPDF4v9lipHjY/vcz+atVCORii6Y3ZZ4OPavA7g7nKTMTqdtaxO1z8dcj9QZGny9Hi596ANU3jWfsD/Elq9vSPh8ipelDLkaeD5TULgetToDj7sLn89GOOxHodSj0+UBUerrB76v0WiYo0cfY/78jzNr1m3k5q7B67Ugl+vQ6wuAKMePPY3Pd+a6EA77aW3ZTl7+WubN/3/YbA2EQj40mgyUSgMdHXvJzFws2O908sRzzF/wcUpKryEtfS4+r5WkpFTUmkw6OvaRmblIgFGinDjxHPPnDz1Od/cR0tLmDDhjvO+D2XyMwqLLSEmpYMHCe3E525HLNRiMJXg8Pdhsjaff+4Gkpc1BKlUhlSrRaGO7O0lJaeQXXEw45CMU8uFwtOA5q8BlamolMrkGqVRJUlJsF1Kp1FNQcAmhkI9Q2IfT2Y57CMe7zo795OdfREbGAtTqNDxuM2KJDKlUOaiwaR92exMuVyfpGQsAER3te8b6B0gI/SFkyuGtrrUq0+m2A62Zz87tkohlQ+a8JCnGZh4SCvtpscSMC0qz1lOYtoqSzIsHiZm+OSQpjEOaLU0lcy8dm1140BfhifuPs//VkXeWzj1nKDEz1GvDYev0s+WxVrY81krl2hRu+Hop6cVD37+X3ZRJUrKUf33hyIQFTdvONtp2nnacE4tGFW59mJvcaIwji+HxMiNmLnBsnSeHrR0zFAGvg4b9z9Gw/7kx9H2CHU9/ddjjbSc20nZio2DnQcyNpePUVjpOxef6FO/70Ifb1s6JLf+I+7zpzIordJw44MHaPTDBvmSuCmWSmK6WkUMa+sLCFl+kZcsrtmHbNdX42PW2g2WX6rj3e5n84yed/UIIQCoTsWidlqO73bgdkxNiNRU0vlFL4xsDwytcbbF44w0fex59SQrudid+e+JXcy+k+jJ9NDVtIjNjIWpNBka1CRARDLrpsVTT0rIVm23wLqPb1cnePX8kv+BiUlIq0GozCQa9mM3HaG56D6dz8Mpoff0bBAJOMrMWk5xcQDQawuFo5UT1swRDXkHFjN3exP59D1JYdBnJyQWo1Rk4nW0cOvgP/H6HQGImZr+8f9+DFBVdRrI+H7U6/fQ4D6NWZwwSMzC+9yEYdHPgwEMUF12BLjkPnS4Xv99BR/s+GhvfIS9v7ZBipmrWhweZCiQlpVJUdPmZ+dS9SVPTe/0/l5Xf0O9Y14dCkUxh0WX9P7c0b6G29rVB4wUCTg7s/ztFxZej1Waj0WQQDHpxOkdewGpv20VZ+Qfw+axYrfUjtk00ZnsNFdlXolNno1ak4PYPNr/INMw73XbgPTEQ9hAliggRGmUaNvc5YdlyPdqkzLjn1GrZR2HaKpTyweGJTk8H3oANlVxPdsqCYV3PpoLKdaNfL33OEH+6ez+t1c5R255N0B8GBoczKpLGZ85SvbmHmh1WPvD1EtbeMXQo6pz1Jm77SRWPf/PYREyFBzBWIQOw7YlWbvx2OcZsFb1twpYhmBEzM8wwTVh1dTIanQS1VkJhVSwWNqdYwQc/k4bbGcbjDFNz0Etbw5nVsqXrdehTpSRpxWQXxrbDTdkyPtR3jitC3TFvv3MYwIc/l05BuZLmUz6624L4PGFMWXLK5ycRjcKjvxl5dWnj81Zuvc/ExTfqyS1V0FrnR6ESo9aKBxWz/MM3Wvnhvwu56vYUVlyRTP1xL15X5HStGgVJWgmfWHfyghYzIxEJRuitFq5w3WiUrrjwxEx316ExhwSdjd/voObki8CLY2ofjUZpadk6IBzrbN7d+K1Br/X21Az5eh9NTe8NeBA/G6ezjcOH/j3mscaL09nKoUODw3uGqzEznvcBwOPu5siRR4Y81tDwNg0Nbw96/b13vzPctIdl+7afxn3O2bhcHRw+9J9xndvRsY+pLqTtCzposewhz7SMeYW3crDh6UF1ZvTqHPxBJy2WgbtIkUgIu7sVvTqXsqxLOdDwVL/JkVKezNyCmwfYiJ9NTsoiItEQ3faThMJn7jcSsYz8tBUAuIbIiYkS5VT7O8wtuJmyzEsJhX109B4ZUFJBo0wj0zCbZsse/MH4RMN4MWYr0aWOvovw+Heq4xYyENuZGYp4dmbOJRyM8NwDNZgbPdz0nfIhS20suT4DW4ePV383viJaC+9bSMuWFsxHB963JHIJq+5fxebvbR723B1Pt5JepObevy/gmR9WU7tbuNDqGTEzwwzThK/9LhexZODVJ7tQwR1fPuM4899fdvLM385cRO77vyxS0geu7qRmyLj9rHNeeNjCP396JqHwmb+ZWX+znoJyJTnFChCBozfMrnccvPQvC0d3jex2Yu0O8a3b6rnzKxkUz1ZRWKHEaQtTd2zwSovTFuYbH6zjytuMrL1OT+UiNVKZCKs5xPF9HnZucNDbNX3CCoRGppEz66MLSJ2bjkw9+Mb4+u3PTNpcjLlJGHIG22DPMMMME0FEds5yIpGw4C5m46Wm/W1Ucj2m5HJWV34Wt89COBJArUxFIpYTCHliQiU8eDf4VMdGFhffiV6dy7qqL+L29yASiVErUwkEXTR276DgtDg5G706hyxjbMfHH3ThDzoRiyWo5Ib+8LETrW8MOd9O2zGU7cmUZq1ndt4NlGdfgcdvRSqWo5Tr+vN02noPCvcmjUL+3NFrpux7pZPDbw3vGjcSgWHEzHh3Zs5my2OtyFUSrvtKyZDHL723gNrdVk5ujz8Heu7H5lL14Sp2/XoXp146424rloopurJoRDGz/p4CRGJQaWV8+t+L8blC9Lb5iISGfi9+c+uuMc/rfSFmzPYaNuz7YcLPmWGGiXBD2dG4z/nYyhOjNzqHLa/YRgwPGwsN1T5+9InGMbUNBqK8/J8eXv7P6LU+9m92cn3xkWGPP/M38wAxN91Z/NVVZCzLoWlDLQGnMJW2x0vJigvTknmGGaaS3NxVqNXpdLTvGbYQ62QTiYY52PA0mca55KQsQKNMRyyW4gvY6LbX0Ni9nUBo6EUrq6uJ3bX/pih9NXp1LhqlCX/IRVvPAWo73kWXlDmkmGm27CYajZCszkEpT0YryyAaCeML2ulxNtBk3jls3RuIOaH1OOvJMy3FqClAq0onEgnhCzhwervoslfjDdiEeotGJa1wdBvod//ZPO7+Y2Fmg5nIzszZvPNwE3mzdcy7Im3QMZEIbv/5LH5y1Q58rsH13EZj49c2suYHazCWGdnz2z1EwmOro3XNl0oH/KzUSMkqF8Zq/n0hZmaYYYYZpoKM5Tns/P67dOwSxhZzIlyI+TIzzDAVVM36EAAqlRGdLg+fz0Zd3dC7DuPFG7Cx4eCPRmxzrOVljrW8POSxKFHaew/R3ht/CKbd3cqB+qEdXC2O2iHn5fB0cMwz9FzGitPbybHmlybUh1CY8kcWM42H7OMKL+tj2DAzAXZm+nj6hycoXW4gKXlwbo4uVc6l9+Tzym/jDzczHzXz8t0vc/HPL+byP1/Oe998j/AYSgv87NrElfZ434gZtVFOVoWOjHItaUUadOlKtCYFaqMcmUKCVCFGIhUR9EXwe0K4ewP0NHuwNLpp3N9L414rfnf8CnaGGCIRZJTryCjTkl6iIb1Uiy5diVItRa6WoNTEPooBTxi/O4TfE8bZ7Yv9DZrc9DR7aDtmx2kW3p98qtBnqshfoCe1QE1KnhpjbhKaFDnyJAlylRSpQkw4GCHgDRP0hnFbA/S2erG2ejA3uGk6aMXSMLECWOcbUoWYtCINpkI1puL/z95Zh8dxXn37nmXQipnZkpnZjhPbYXKYuWlSSN9C0jblvqWvbZomeRvmJg4nDjixQ2ZmWzLIYmYtSMu78/2xsWxZNCOtwI7u6/KVaPfZmUer3ZnnPOec3y+EyCQDphgtIdFaDOFq1Folap0ChVLA5xHxuv34PH6c7YHvtN3sxtroCnymKjpoLA38d6hQqpV0NI7830hQCGTNGcvMjDFGMDAYojEY4vD5XDQ2HKS45FM8ntFnoD3GwAlP6FuSebD9Hh5X8HtmTqejzcOXz5Zz+YM5PT5/zm2prH+1ivYW+VUD9iY7a+5bw7xfzOPSVy5l0+829fuaxtKhuxcOOJi5e9UFssa/cOXagZ5qQAgCpE2PYMKyeLLmRhGf27PL8eloDEo0BiWmaG3na84hE79PpHhbM7veqeLIusZBS9t9G1CqBLLmRTN+aRz558Ziiu5fr10fpkD/zS5CXHYI2fO7Pt9W7QgEl3vaOLapCWvDyOn5y0WhFMhZGM2k8xPImBVJRFL//QsKpRK1TgkREJ6oJ2lC1zpeu9lD6a4WCtbWc3R9I27H2dVIrzOpyZ4bRfrMSFKnhJOQZ0Kp7lsS+gQqrYDqG/loY6SGqNSed9rsZg9VB82U7mzh8FcNtARRB796QzlpyzI59NyeoB1TDgqlQEyGkez50ehDpRkBjjEGQGXlJior+1+gfBvZves/Iz2FMfpBFRlJym8CAhLlP30Q0S+tFOoEIRF9N/+X7x9cSaHH2XuZmRy54/7Y8mYNF3wvE62xe5Ck1imYeWk8618ZWLmcz+1j8x83M/6G8Sx/bHn/LxhCBhzMHF598pcXRVDrlMy8NYfKnY00l1jxefxEZYaSNieWr//f/mDMVRI6k4q5N6Yx8+pkIpP7r3mUikIpkLswhtyF0nTHB8tTN22j6oB5yI5/5e8mMvu6/p2kn7xhK9WH5H1pVRoFM69OZvHdmYQnBLfhOCJZT0RyEtMuT0IUofqgmYIv6in4op626uBK/QWLyBQD829JZ8rFCRiDrLFuCFczcXk8E5fH43H6OLSmno0vltJY0h7U8wwnkckGJl0YT96SWFImh3cTRQg2hnA14xbHMG5xDBf9LI/6Ihu73q1i76qaQWdjG/bUMuOnC4idnkDL4Sa8jq7HK3g+eEGOPkxNQq6J+LxQEsaZSBgXSmx2CCqNtODvVNKmRfCXwouCNjcp7P2whncfPtj/wDHGGGOMIcYY0ffmT33x4LIMvZWZCQJojUqctuBUArnsPvZ91sDcaxJ7fH7mFfKCmR3/3NGtpOzwm4dpK25j3NXjBjXXwTDgYGbbc0e6/Hz5P+ay4bFD7F3Z1U9h8lUZpM+Po+DjioGeShJqnZLFd2Ww4LYMdKZvTfXckBMer5cVzMxYkczyB3IJjZXumjtQBAFSpoSTMiWcpPFhvPng/iE/pxyiUg2c+91spl6WOOQLcgh8B6ZfmcS0K5I4tqGRNf86dsYENYZwNdMuT2LKJYkkT+xfRWYoic81cdnD4zn/R7ls+W85G58vHXDGK++myXTU2dCE6kiY233zYCDBjKAQiEo1kDDORPy4UBLyAoFLWLxuQHMcY3CoY2LQZWSgjotFFRWFOioShdGIoNGg0GgQlEr8bjeiy43f5cTb0oqnuRlPUxPO0jLctbUEzfThDEJhMKDPzkKdkIA6NgZ1TAxKoxFBq0Wh1SIoFPg9HkSvF7/djs9iwWu24K6vx11Tg6uyEr99dG5gBQNVVBS6zAzUcXGoo6JQR0ehMBoDn6lT3x+3G7/DgbetLfDZamrCVVGBq6oa0TtWGj9QNLq+y70c1sG9t33dUwwmVdCCGYBDXzf1Gswk55sIidTQ3iqt1OzI20d6fLxudx11u+t6fG44CNqqP3NRApufLOz2ePXeZs57aGqwTtMjWXOjWPH7iUSmBC8TM0aAsARpC6SQKC3X/W3yiDUZH904MHnEoUClUXDud7NZfE8mStXwu60LAuQtiSVnYQxbXy3nq6eO47aPzvKzjJmRzL4uhQnL4weUQRhKtEYV592XzcyrUvjwjwUcWSf/MxYM6eXkiWEkTwoLBC7jTMTnmgKlh2OMCIJKhT4/j5Bp09DlZKMM6V+NR6HTgU6HklDUsbGcmq/2O504jxfTvncf9oKCUbMANUyaSNxdd/Y5pmP/ARpfeVXyMZUmE6Y5szFMmog2JYUejTBOQaHVglaL0mhEHXNaVYTfj7OiEkdhIbbdu/FZrJLnMSoRBPS5OYRMn45+XC7KsP43dTrfH5MJdWxX1SrR58NZWkbH/gPYDx7E135mbGyNFpTqvj+bjkEGG86O3u/JpmgNrbXBK6Ev2W1GFHv/umVMC+PQV8FVCb3g+1mDPsba/0gXJwhaMOOxe0maEkVrWVd1h8TJUXidQ3NxFgQ4975sln4/p79r4hgDREqZWMrkcG55YrqknpihwO8TKdo0OuR6kyeFcc1fJhObGRy5wcGgVAksuiuD8cviWPk/e6k7NjxmY/2hUApMWB7P4rsyuvUAjUZCY7Xc+n8z2PJqOZ/98+iw98td97cpRGcYh/WcY3RHFRFB2LlLCJk1MxCcBAmFTodh0kQMkybidzpp370Hy1df4zWbg3aOoUKTKM0NXh0XR/j5yzFOmYygDFIgrlCgy0hHl5FO+MUXYT9UgHntWtx19cE5/jChMOgJW7wY07y5KENDg3ZcQalEn5ONPicb8eoV2A8cwLJuPa6qkVdWPBPoqzfT7xMHfR9w9SGJHBoT3LWU0+alpcpBdGrP67m0yaFBCWYuf/1yPro5oEZ3wfczB328EQlm9r9dwvKHp5M8I4bGo2YAYnLDGH9RKrteLQrWaTpRKAWu//sUJl0o7WI6xsDoLzOTtySWGx+ZOqI7xVUHzdjNI2+8OGNFMlf+boLkBvXhIirVwH0r5/Hh/xayd1XNSE+HO56ZdUZ6niy4LZ3QWC1vPXQgKAHNha9exZrb3g/CzMYYSpRhYURefBHGmTMQFEP73VbodIQuXIBp3lxs23dgXrN2VO+oq6OjEdRqRE/P11+FVkv4hecTumhR8IKYHhAUCoxTJmOcPAnbjp20fvgRfufoFodRaLWELVtK6KKFgQzLECIoFBinTcM4bRr2wsO0rlqFp7l/36/TSfvTH3EUFdH68Wpib7sFTWIijpISmv77OoJKRcwtN6PLzMDT0EDTG2/hrgncb6Q040dffx2muXOwfPU1rZ+s7vn30GgInTcXw+RJaOLjEbRa/A4HPosFZ0kp1k2b8TQ3d32RKCKKIqZ5czHNm4s6NhZBocDT1ET7rt1YNm6CHubjdftRa3v+viuUAgqlMKj7gN3a+5olagjMjZsr7b0GM1EpwTlfeEZ45/9//I/u636P20/egijGL4mhutBK6V4z7S1u/D4RY6SG9ClhZEwPZ+cHtXz9QrmscwctmNnyzGEstXamXZ9FzrmB2jxzZTtf/m0fh1bJm1R/KJQC1/9jKpMuiA/qccfoTnh87x/y8UvjuPFf00aklOpUjm0Y2ayMoBC46GfjWHh7xojOoy/UOiXX/HkypigtG14oHdG5HP6q/owMZgAmXZiA1+3nnV8OvlE9NCMiCDMaY8gQBEIXLiDikouHfLHZ7dRKJaEL5hMydQotqz6kfffIqOH1i0KBJj4eV1VVt6c0CQnE3X0nqqhh/K4LAqa5c9CPy6XxlVdxVQzc1HAo0efnEX3tNagihv8aYJgwHv24XCxffU3b51/0uJDvC3V8PDE33YgixIQoihjy84m87FLUMdFoEhLw2WxokpKIve0Wqv/6/4I2b3VsLHHfuQd1dODz5G1txdfcgiosFE1SEprERCzrN3R7nd/tJurqFYQuWICvvR1PYyOq8HA0iYlEXnE5msREmla+0e11fQUzAPpQFR1tA99EtTb13qMSnRb8YMbS2Pv5ovpQVo2bFoff46epILDOSlnYs3CUoBRQqE6+X+te6t4nP25BFCsezuPNXxWy84PaHo8z47IEbvrrBPZ8XCdLyjl4nfIiFHxUTsFH5UE7ZG9c/FB+UAKZjlY3tmYXDosHu8UT+GKGazCEqTFGakasbEouCpUCv1feBUkqvWVmsuZGceMjU0c8kAE4umHk+mUEAVb8fiIzr04esTnI4YKfjENtUPLlE8dHbA57Pqhh6fdzMPYjfTlamXZ5ElUHzWx/o/tCKWZqAn6vj5aCwGcycUFqj8dQKBVdLvxjjC6UJhOxt9+GLmvwpRKDQWE0EnPzTRinTKbp9TdGZbZBk5DQLZgxTJpE7C03IWhG5juuiogg4fvfo/GV/2Iv7N7LO1IISiVRV1+Fad7ckZ2HSkX4Beejy86m8dX/4rNK7zfSJCRg3bKFlv88iSYhgaSHfoZpzmxc1TVU/j5gppn08wdRx8aijonB0zT4zUZBo+kMZJxlZTS/9Q6ehobO51WRkegy0vG2dfd+UWi1hM6bR/M772Hbto0TzSNh5ywm8orLCZk1E8u69bjrujavO6xe9H2ISYXGaAcZzPTumZeYG/wy9b4EB/oSbFr0+0UAvHtFoP9z6b+WDngOy+/LoKrQ2msgA7Dn4zqW3JHGBd/P5Pj2VsnHPuNkvyZflMD8W9IG9Fq/T6Tg83qOb22mfHdrv34S4Yl60mdEkD0vmskXJQxpg7Lb7qOlyk5rlZ3WSjvm2r5VWgSFwNy7xjH12kxC4/U8ef6n2BocTLg0Fa/Tx7Evg1NOFBKlRakOmDeeID7XxC2PTx8V5VTmOgf1RSPXC3LZryYMSSDj94n4vSJKjSLo/WDn3ZeN3exh63/Lg3tgiXicPravrGDp93s28hosogg+tx+lWkBQDE2wffFD+RRtaqa1uus1ZO7vlgDw8YrATt/if8rz4xpj5NGmphJ31x2SGrCHC8PEiST+zwM0vPAinqbm/l8wjJzeN2OYOIHYO24b8pK8/hDUamLvuoOGZ5/HcezYiM4FQBkSQuxdd6DLGD0ZfF1WJkk/+wn1Tz+Du1a6EpVt63YA3HV1eJqaUMfEYN2ypVO8wllaijo6GlV0VFCCGdPcOaijo/CaLTQ88xx+V9dAwNvaSntr7wtf67Zt2Lae4j4viljWbyBk9mw0CfHosrO6BTPWZheRSb2X2Ucm6qgrGngJqLm+j2BmXAiCEFyRw75K4jT63r+rH1z3AcKpixARXlvyGuJpx1OoFNy8/uY+55A8PpSCr/v/PDSVdzD+XHk2KEELZrQhauZ9J5/EqVFoQ7rrc7909eeDPocxQsMVv50g+3U+r8jud6vY+GIpbTXSpRzNtQ721zrY/3Eta/91jAW3pTPv5rQB94d0tLpprbJ3Bi0tlYF/rVV22lvkOdvPvi2HGTdls//dUhZ8N7/zcdEnMveucUELZgQBwuJ0nYs2fZiaW56YjtYo/6NjN3torbJjrnNga3LhcfrwOH2odEr0JjU6k6rTrPSEcWZ/jGSJ2dLv5zD3xp533qXSXNZB8fYWag5baCxpx1LvpKPFhc8buFAIQqBELDReR0SCnsTxoaROjSB7XtSg+pQufjCPlooOjm0cmfdv28oKFt+dOeDfwVznoLrAQlNJB40lNtpqndianbQ3u/G6fJ3KLdoQNfowFcZwTed7lzolnOj0wTXUqzQKLn4oj9ce2Nvl8U9veAdOjZ9EeHfpS90u/IJKwTVf3TGoOYwRfPS5OcTdczeCevQZjKrj4kj8n/+h7qmncVePniZudeJJyVddVhaxt498IHMCQaEg9o7bqP3341128ocbVXg4CT/4PqqoyBGbQ28oTSYSvv996p99DleFNAsN7ymBg89qC2RgGk/eS05IZgerPNM4aRIAtu3buwUyUmjfvbfHx911dWgS4lGaupuqWxv7Pk98tpHC9QPfWDDXO/E4/ah13b8ruhAVSXkmqo8Eb6O2J9PME/R1H/a5umZ03O3ubn5pEDDQPH3s6fi9ItFp/asORybr8XvlRXJBC2aWPTyNjPlxHPm0CqdVml61XC748TjZLtYdrW5W/ngfZbulp6t6wtbsYs2/jnHg0zpufWI64YnSaxoPrK5l1R8L+1SvkMuUqzP47Pd7KNlY1yWYaSq2Epne/Ys5GMISTgYz1/51smQzUle7l2Mbmzi6oZHKA2Zaq6Q7q4fG6YjPNZE5K5LcRTHE5/b8O41Uidm4c2I47/7sAb3WYfGw+71qdr1XRXN53zWhohhIDzeXddBc1sHxrYGLp1qnZPzSOBbclj4gXxaFUuCGf0zl8as2ywrwg4Xd7GH3+9XMu0laltVc5+D4lmaOb2mmYl8btj5S9CcQRXDaPDhtHtqqA8HPzrcD5TDJE8NYcFs6Ey9IGHCp5PilcSRNCKOm8KQPk8/V9Tvubnf1eOHH7es2tje+frpY9nXvdCJTDCy4LV3y+NZqO1teKR/UOeXSWDqyje763Fzi7rlrVAYyJ1AY9CTcfx/1Tz89alSpTmRmlCEhxN5+K4JqdBV8KHQ6Ym6+kdp/Py67PyQYKMPCiP/+90ZlIHMChUFP/H33Uvf4E5LU4E4tdxR9vm8eO/U+8s1CVAhOUKuOC8hOu3vozZKCp7HnQFZ0B9aqPQXfjWV9r1cGWwomitBYbicpr+fj5M6PDGow01fJnJyqo5VLV/b6XOHKvks6S/eaGX9ONOfelc76lysQ/adt8gmw+LY0UieFcWSTvEAxaFedjAXxrP7lDsq2Ds3uR2SygRkrkmS9prXazvN37MRcF7zFWt1RK/+5bit3PT+LhDxpMoqTL0pg17vVlO6Urx7SG6HxBlrLu3/QRb+IIsh9LCfkmeffmk7eObH9jIa6Yza2/recA6tr8boHdvOwNjixNjgp2tTEmn8dIzROx7hFMUy9LJH0GZEIQqBcqXTn4ILUgRCZbOD6/zdFdvmX1+1n88tlbHi+dNDO8h6njwOrazmwupZJF8Rz8c/zCYuTJxerDVFx9Z8n88KdO0bEs2/zy2XMuT61V0PRxtJ2Cj6vp2BtfdBLCasLLLz10AE+f6yI6/8+ldSp4QM6zvyb03inD9f698/v3YPj2BuHJJ1j/ye91xdLJX16hKxgxtbkYtvKoTU6hsAiSvT5EF1DswEmFU1y8uACGVHEXVePs6QET0MjnpZm/HY7frcbRFBoNCj0uoCpZkwMuox0NCkpA1L4Uhj0xN9/XyDb0Djy/lpKoxFlaCjR113T4w53b3iam3GWluKprcPT0orPZkV0exD9fpQGAwqDAWWIEW1qKrrsrG4+KnLQpqQQtngxlvXrB3yMgaDQ6Uj43n2dTetyEd1unGVluKpr8DQ04jO34bM7AupxgoCgVqM0GlFFhKOJj0eTmoI2LW1AmTGFTkfcd+6h9tHH8Nn6uN72FhD6h+4motAH1iB+x8B6xkSn/GxOQ2nfwUz61MGXodYVtfcazEw9P5avXwjeNTgus/dqhFPbCAbD3qd6zoCd4LPHismeE8FlP8thwQ3JFO9qC/QOiWCK0ZA1M4LoVAMep5/PHpcuywxBDGaUKgXW+qHb4V14R7qs+nefx88bP9kf1EDmBB1tbl7/n3388N0FaEP6fwsFhcCK30/gsSs3D3hxfzptVe0kTIygrbLrbmbu0iQaj1l6edXACIvXEZ1u5IL/ye1znLXByZpHj3Hgk9qgL46tDU52vVvFrneriEwxMOPKZIyRGjzO4TWDFAS45i+T0ZnkLXoaS9t562f7h8Tr5dDaekp2tHD9P6aSI9O0NHNWJHNvSmPb60O/cD2dthoHBWvrmXzxyZp7h9XDgdW17PmgpkvGYyjn8Oxt27ngx+NYdKf8WvZJFyXw0Z8PDyg4PfjMbtmvOduIvOFK7HsPYt8/ck3aypAQ4u6+c0CBjKe5Bdu2bbTv3iOxifqk8IZCp8M4dQqmuXPRpskrV1Xo9cTdcxe1jz6G3zH8mdXTSfyfByQpc/na27Ft3Ub7nr19BmKntlXbduwEQBUeRtiSJZjmzxvQ3yp82XnYtm0bUJnSgBAEYm65SX4QJorYDx/Gtm0HjmPHZJuoKgwGjFMmE7poEZoEeUJJqogIYm+/jbr/PBnchg0JKLS9i0WILheCSoXQx5hgU3O073t1VIqe0GgN1uaBb8RUHLQw8/Ke/0apk0NJyAmh7vjgM9Zag5K4zN4ratzO4clY1hy18dQde7juj+NJyA1hdg8S1A0lHbz128NUF8ozwQ1aMHN8XQ35F6aw+cng35RUWgXTLpeXlVnzr2NDuhhqrbKz6g8FXP+PqZLGR6UZmX19atCarrc9d5QLfjOdmOzA7sCkK9KIzgol7/xk3ntgaz+vlkfm7Cjyz43ts66y4PN63v/tIZyDdMWVQmuVnS+eCL53kRRmXJVM+gx5cpplu1v57w/24rQNnReO3ezh1ft3c/0/pzJxubwb2LIf5LDvo9ohnV9vbHyplMkXJ1B72MrW18s5+Gld0AJ+qfh9Ip/98yhqnYK5N8oTF1FpFOQsiKbg8zPLqG9UIAjo8nOw7x28zPVg5hB7+22owsNlvcxvd9D6ySe079jZo2eGpGM4ndi278C2fUdA3nbFFd1d7vtAHRND7G23UP/s88O+8Dyd/gIZ0evF/PkXWDZs7CztkYvXbKFl1YeYv/yK6OuuwfBNH4VUFEYjpgXzsXy9bkDnl0v4+csxTJDX4+s4VkTrhx91a0aXg99ux7ZtO7btOwiZOYPIyy9DGSK9JEqXlUnYknOwrFs/4Dl0n9TJTUdBo0HsQZVPFd37Rpy7sRFdRgba5GQcR4dHzKHueAcuuw+tofd1z7gFUez6cOB/q4qDfS/Yz7snjdd/Pvg19YRzo/tMBkgp2z5BWHoY9kY7HntgvaCP1JN1cRbWKiuVG/qXQq84aOEfV24jZWIoqZPCMEUFAtT2VjeVh6xUHhrYuj1owUzlziaW/XIqKTNiqCtsxWPvuqjd8vThAR87Z360rIbz9hZXj7KpwebgZ3Wc970cYiS6cy++K5PtKyuCYrh3+LMqHBY3C76bj7vDy8L7x9NYZOH9H2+jZFNwF1b9eYKsffQYG54fWe+S4cAYoeGin+bJek11gYWXv7t7WDJIPq/IWz/bT+grc2WVTelD1ZxzTyZrHx1+xZ/aw1YeX7F5RBXpTvDJX48Ql2MiY6a82va8JbG9BjPqEA0T7phG9OQ41Mbuu4qf3fzugOZ6phP/4PfQpCQiaDXE3H975+OWT7/C/OFaIFBOlfLoH6j5xV8Iu/x8DNMnAgK2rzdj/nAtmtQkEn71I+r+91Hc1ScXFJrkBBJ+82Pq/vI47oq++0pCFy5Al50la+7O4hIaX3sNn0XezmFf2I8cwVFcTNSVl2OaP1/y6/R5eYTOn491y5agzSXYeOobaHj5laA14Pva22l46RUiLrmY8KXnyXqtae6cYQlmNImJhJ+/XPJ40eej9YMPg/t3FEXad+3GUVRE3J13ysr+RVx8EfaCgqAp5/k67J2SyJqEeJxl5V2eV0VFok3uXRXUUXgYXUZG4O+3YWOvJq3BRPSLVBy0kDu39/tB/qLBBTPVh23YrV4MoT2vb2deFs/m16v6DXr6Y9FNfSuutvWhrHY6c342h/o99Rx86SBKjZKLnrsIpVaJNlTL3if3cvhNaWv9qgIrVQXBu4YGTXJk1u25WGrt6MI1ZCyIJ3d5cpd/g2H8eXGyxu94szJoNYB9IYqw9bVyyeNDY7WSek6kUra1gdduX8+j8z/kHzM+4OXrv6J4/cC/WAPhoz8VfisCGYBz7smUrLIGAdGIV+8fnkDmBD6vyMqf7JMtNjH/lrQR830ZDYEMBDI07/36kOzNhtTJ4b0+N/NnC8i4JJfWI01UrSvr9u/bSsPjz1P9y78A0Pz8Siof+DWVD/way+ovu42NvvcW3JXV1P/1/2j6v5dwFBwFwF1Zg6u0kpDFXT07jPNn4qlt6DeQUYWHE3HJxbLm3bFvP/VPPxPUQOYEosdD8zvv0frRx7JeF3HZJSNivigFZ2kptY8/EXwlMVGk7ZPVWDdslPUydUwM2vT04M7ldASB6Ouvk9y3IrrdNDz73JAFpD6LlfqnnsZZKv0+LahURFxySdDmIHo8OMsDpcwRl12K0nhyA1gVEUHsbbfSVxOqdes2fBYrqqgo4u6+q5uYgkKnI2TG9KB/D45t7rsnd/w5UYOy7PD7RI5t6b2XWhDgtkcmYowYuCjJ7BUJZEwP73OMHInpyNxI6nYH1plZF2Wh0qn44NoP2PyHzYy7atyA5zlYgpaZCYb0cm+kTZf3Ad317sAULwbCvo9quOzh8b02MZ/OpAvjOfx1cC7ssePCCUsyoNJ0T4MeWTP078H650qGJQM2GjBGaJh9vby69vd+dYj21uFvbLY2OPni/45z6S/y+x/8DWqdkukrktj04rd3gQ2BEsbCL+qZdGFC/4O/ISrdiNao6rFvJn5uMtt/t466HaNDeWq0ILrcnY3EosfTpwCA81gxtnWB0llPfdc+C9v6rUTetIK291YHjqFQYJw9Devn3Z3ATyfisktkScc6jh6l8bXXh1wRy7JuPYJaTcRFF0oar9Bqibp6BQ3Pvzik85KLu7aOhudeGFKjz9ZPVqPLyUZzijx0fxjy83CVlw/ZnEzz5qFN7dklvRt+Pw0vvYKjaGhNjP0uF40vvkziT38secFvnDIZbVoqrorg3OPbVn9K/P3fRZeRQcrvfhPwn1Eo0MTF4bNasaxfT9iSJT3P3+Gg4YUXiLvnbvTjckn51cN4mlvwO+woTSaUYWEICgW1/368R+PMgXJkcwuX/ax31VJdiIpxCyIpXDfwDNbBL5qYdlHvG/ZRyXq+9+J0nr1vP5YGef1e2bMiuPpX/QcYlYekb86oDWqcrYHvdM7lORx7/xheh5eWoy2EJEorZ4xK0TN7RSLJ40PRh6o5uqmZz58KBNt6kwp9qBpLo0tWUmJ0iMH3gT5UTVSadE+ItmpHv/rgwcRt91F3VPoHIXt+dFBMEC//+xzuePM8lj44hYX353f7N9Qc39rMF4+NTN/KSLDg9nQ0eunKQ4VfNlC0eeQ8cHa8WSn7ezDn+tSgG3SeiWyUGdAJAsTl9HwRV6qVdDT2Lb89Rt+4SntfTNn3HED0eDDOngaAflIeSqOBjh37+jymOi6OkGnTJM/B09xC48uvDpu0r/nzL+jYv1/yeMOECWjTBmYmPRT4XS4aXnhxSAMZCPTiNL/9jqzX6POGbvdYUCoJXy7dIb1tzVocR48O2XxOxdfRQfNbb8t6TW/BxUBwlpRQ98R/sBceRvR4UMfFodDpsW3fQc0jj+I41ndA56qqpvr//YO2z9bgqqpGaQpBk5SEoFLhrq7GvPZzPE3BVferPdZOa03fn+HZV0jf+OqJgq+bcPTTa5yUF8KD789m9ooESRvnap2C8+5O4/4XpvbpLwOBcrqibdJVYdvr2gnPDCc6P5qo8VEUf1IcOKdRjd/b//Vx3nXJ/GL1Apbfl0n+4mjSp4YRlXJSCCBrVgS//mIhs2S+r0HLzNz53vl9Pj/QzE1sVoisBVblgeBF5dLPaSZpgjSZPmOEhohkgyzPlZ7IWhTP63duoGZ/8OSepeLq8PLBbwtGuud02FCqFcy+VnpWRvSLI9J/cio+j5/tKys4vx8FulOJTDaQPjOSsl3DL3c9mqgptGBrdmGKlr5rHxavB8zdHq/eUE7askwOPbcneBP8ltFXfbzo9dG+eSemRXNo37SDkLkzcBwu6rcMLOKC8/ssa+l6EpHmN98cPhWsb2h+9310WVmS5Y4jLrmY+iefGuJZSaN11YddjBWHEldFJa7KKsnZEE1SEoJS2emPEkxC5syRLCbhrq7G/OVXQZ9DXziOFWEvLJQsTGCYPAllWGjn96ni17/tNqb+qae7Pdb64ce0fti9XNJVUUHD8y/0PLejRyn78U/7nI/fbsf8+ReYP/+i37l7W1v7PV7zW2/3G+Dt+6yBpff0vlEw8bxojOFqOswD6+PxuPzs/qieRTf33Y4REqnhpr+M5+IHsjjweSMlu800VdhxWL0oVQKGcDXRKXqyZ0cwaVkModHSysZLdptlzf3oO0dZ8tclABR9UERHQ2CzLiovCltN3yXjOXMiueZ3+Xhdfra/U01dUTvX/K7r5vuRTS04bV4mLYtl+7vSzd+DFswUfdG1jEJtUBGTE0bilCi+/Gvfu2R9EZEk3ZwSAg3Xw03tYXn10wnjTIMOZna8dIwJl6bicfhwtLnwn6bx3tE8dDti658tGRLJ69FK/pJYDOHSa1aPrGvs1wxzONj/SS3Lf5QrazMgf0nstz6YAajY28bE86WrwvXm8dOwp5YZP11A7PQEWg43dTPQLHj+Wxzk+MVA4+Eg3eJtG7YRdsEStNnp6Cfn0/LSW32OV4aGYpwyWfLx2/ftw1ky/H2B/o4O2j79jOjrr5M0Xp+TjTYlBdcAjQWDhbu2tlNOebiwbt5MzE03ShorKJWo4+Jw1w7ev6nrgQXCzl0ieXjLqo9GRIXO/OXXkoMZQaHANGvWsAddo4m9q/sOZpRqBbNXJLDupYGX4617sYIFNyRJyrqEx2s557YUzrlNYiljP2x7V9734MjbR2grbkOlV1Gz7WSw4W53s+/pvtf6596djt8n8sStuzqll08PZnweP/XF7cRnyzMlDVow05ta2Zw7x5ExP47CjwfmY3HCsFEqHSPQo2A3yztneKK836knXO1e5t6VyrRrM3t8/v9NeW/Q5+iJjlb3iHiSjCTTZZq17nhrdPQRmesc1BRaSJ4o3dwrb0ksn/5jeMoeRjPle1plBTPGyJ53wfJumkxHnQ1NqI6Eud1vPt/mYEb0+fA2tRAydwaemnpEUUR0uWU31/vaLNgPHCbyussR3R7sB/qWMjXNmik9gPL7Ma9ZK2s+waR95y7CzjsPdYw0/yjTvLkjHsy0fbpm2Bfp9sNHZI3XxAc/mNFlZko2x3SVl+MskWcKGCxc5eV4Ghsl+98YJk36VgczNUdtVBXaSJnQe4Z04U3JrH+lqpujvVRaa53seL+WedfKW2sMlpYqB/s+ld/DXb+3u3pnxdf9rwvTpoRRvt/cr4eMpdFF8gRppvQnCFow0xvH19cy9zsD7+HQmuRN0TECXhkOq7xzhkRJL1/pjXMemMDWZ49y+NNKPMNkeASw4+1K3I7hNaocSXQmNbkLpXs/dLS5Kdk+/KV/vVG2s1VWMBOdbiQ8Qf+tyrz1RFuNvN9fre15cfxtlV6WSvPLbxN545Uk/ObH+Ds6MK9aQ/s2+QGebf1W4n58L7aN2xE9fdefh8yZI/m49iNHgiZPOxBEvx/r5s1ErbhS0njj9Gm0fvjRsJfEncDb2or98MBtGAaKv6MDT3Mz6j68Sk5FKdNXSAqmObMkj7VuHlkp7Y4DBwlfvkzSWG1KMsrQUImmsGcnW9+q4fo/9m7LYLd4CY3WYBlEv/Ynj5Yw5fxYDDIUUwfLx/8qDopViFTUWgUdrf2vl7VGlWxF4iEXAAiNMwxKJlnTh1FjTzitQ2/aeDoOmefsy3xSKse+rKG9yYm13oHD7Or2bygQRdj7gfQaxsEiqNWk/vrX6DJ7zj4NB9lzoyQr1QEc29A0rBeH/hhID5mc4OdsxWGRt0GhkvCdVqgGf7nNVk9F0cNlWyvoSVTJ80sZDbhKyqn707+p/MHDVP/8z10CGb/dQcV3H8J5pH+lJ9EZuOZ19BMIaRLiJWc5AGzbtkseO1S079ot2VdDodXKNmoMJrYdO0fMwNNVKT0jrgqVt+vbH4JSiWGytNJF0e2m41BBUM8vF1nqaYKAPqd3Ra9vA3s+qcfewzrv6JZWnrxzH49cs3NQgQxAR5uHd/84fL22Bz5vZP+a4Aom9EdrtYPEvJA+DTzVOgVJ+Sbqi+WV6gctM7PgvvHdHtOa1Iy/JJWyzQM3cVTK1PAeDn+Z05GrACUEIYTUGFRc+NvpLPvFFJwWN+Jpv/Yzl64Z/ElOo/qQmdbqwfX6yOKbN3YoGjWlkr1A+sIHoGTn6MnKADQUS9ePP0HSxDAKvvh2O9rb5QYz6p6/1IJCIP/WKWSvGI8hzshHV6zE3thB+kU5+Jxe2V4zmepJlHkKgK5feCUqctRTqfWOTOnKSGOYPRVPXQOu0r5LHfTjpJve+l2uYXMb73MeDgeOoiLJQYp+fD7te/cO8ax6xj6Ci3RPo3T1SIVRukKqFLQZGZJlvh3FJYju4S+HPxV3VVWniaUUtKmptO8Zmc/UaMDt8LFlZTXL7wv0fOz7rIGvX6ig5qj8+2tf7P20gbQpYUHrh+mN+uIO3viVvNLMYHDwi0aWfTeDix7IYs0TJd02fpUqgSseGocpSsOXz8i7NwYtmOnJGNPd4aHgwwq2PjvwN81tl5f10IcOX4puoOcMRpnW4c+qOPzZ8NZGF20e3nIL0e2m8k9/GtZznk7OPHnBTMWe4VfT64vWKjt+nygru5SQJ0096WzGKbdctZe3d9yNk8i9biIlq44w4a7pnY+LXj/5t04JonGmgFoYfPnqmYSg1QTkWVMSMS2eS8sr/Uv06vOly/I6jh4b0Y2UU7EXHpYezOSNCyxShzlD4m1rw103vKbNpyJHBlpQB3edIEfu2Xl8aD1lpOB3ufCazZI9ZzQpgzM+PxvY+FoVGoOSDa9U0lo7dAJLq/7fcQxhKtnSxFJpLLPz1D37cMo01g4GX79QzuTzY1l2bwZTLoijZGdgvZQ4zsQ1v8snZ24kMWkGqgqsbHtbnjfbqDfNlNuPIsehPVjIDmZkBmg9ceyL4Sv3OkHJtpGrHR8JQqK0RCRLF2twdXhpqxnGzJUE/D4Ru9ktq08rIskwhDM6Mzg90zlQsq7IY+dfNlK7pbJLMGMpbSM0LVzSMZSoiFKevLHFKJPxc3KRLaAgUZVJh3/4lRxHEk1KInEP3IPf7cGyZh0du/b3/QJBQCfD/d15vHhQ8wsmchbASqMRTWIi7prhvUcMpRGlFPwO6X1ugiq47cL63BzJY+WUww0l3rY26cFMnHQxlLMVW4ubD/469N56ol9k5cNHsDS6WHpPelC9345uaeW/DxbQ0Tb8veUAznYvT96xh+v/dzz5i6OJSQusNZLyTSTlBzZRC75u4s1fFeJ1y7sJD4kAQEiMHo/TiysIzfhya9eNEdK0tYNJSJS8c1rqBh/V3/3+8j6ff+Gq/nXY5SCKUCvBHDRi+XJMc+agDA1FUAb6CPwOB3XPPtt5EQ9btIjQRYtQhYfjbWvDvG4dtu1da9PT//QnFDodCAL1L7zQrak0+cEHsaxfjz4nB8PEiYheL45jx2h+770uO3RS5tMbCePkZSgai9tHpfdOe4u8YCYsvmeZ4THkY4wPwVbZPcgQRRFBYg+NQlAQp0zrDGgmaxd1G2MXbRS4tg5usmcYruJyKh/4teTx6pgYBI30a/VoWXRCwLTT19GBUmJ5lDYlediDGWf5yKpcygpmlMFrFxYUCjQJ0nfR3TVBloQeIHIa+hUGPQqtdsSEJb5tiH6RT/5VQskuM1f/ehzRqYNTwLVbPKx+rJStb9UMWHEtWFibXDx33z7isozkzo0kPEGHIAiYG5wc39ZK3fGBle4FNZiZdl0W8+7NxxgdWAzZ6u1sefowh1aVD/iYjSXymoCSRqB5OWVyuKzxg/WYge6ZmYCvTyhJU6L44i/7B33802mrtuO2911yETJjBmHnnEPN44/jaWoidN48oi6/nKq//hVfR+DvGLpgAREXXkjz++/jqqpCl5pK1FVXISiVWLecVHgp//WvETQaMv76117PF33VVZg3bKD2scdQhocTe/PNRCxfTsvHH0ueT1/Eyyy3kquANVx4ZJY1avRK9GFq2RsJY3THVmUlMj8GW1XXgCZ5SQbmImn9VR7RzSH3ZgQEzjPcwEbH+/jEk9ldERGR4e8VPNPQJEmXPRV9vuD7kAwSd1W15HImTXIysGNoJ3QanhEsMQPAL+c7ELztbnVcnORMj6+9fdQEBH6nvHkoI8Lx18uX8R1j4BzZ1MLfLtvO7CsTWHhTMonj5Hmv1B1vZ/u7tWx/rxZXx+gomT1BQ0kHDTLX930RtGBm8lUZLP7RJHb/t4i6glYQBBImRnDeg1NRaZXse2tgjak1hy1y+tRInyEtbRpM0qZJP6coQkPJ4JvGNj/Vs/zl3LsCvj4FA/T16Y3miv4/dLq0NFyVlXgaAwoZ7Xv3En311ajj4vCVBkznIpYvx/z117TvCagOeRobUUVFEbF8eZdgBuj35uSqrqZtzTdCBw0NtO/di/aUMhIp8+mLhFx5ijeW+qGrox0MctO1ECidHAtmBs/hl/cx6xeLCMsKXCMyLsklLCOClKWZbHpIXmmuiIjN34pf9HUpMxtDGpoE6aUy3ta2UdMvcwJPU5PkYEablDjEs+nOSEpYjyQaGe+1t2309FSKXnnl7sqQEDyMBTNDTVbkPBJDxrOp8gUgcP/e+nYNW9+uITpVT96CKBLzQohNN2AIU6PRKxH9Ii6HD2uTm5YqB9WHrZTsNtNcOTo3WIeCoAUzs+8Yx5d/29fFHLN0Ux3mqg7mfTd/wMGMq91Lc3kHMRnS0uuRyQYikvTDtkseFqcjWuLcABqO24Z0kXh8XS3zviNdsUcqNgmyg+6GBoxTpqCKiMDb1oZhwgREj6czmFCGhKA0mbqZurkqK1Gef75sLfvTy0D8DkegNE3ifPojPEleanfRXRksuitD1mtGK8GQDx9OVBoFIdFaTDFaTNFatCEqdEYVWqMKjVGJRqdEpVOi1ipQ65SotUpUOgVqrRK1ToFKG3ju1DHBoOKLEtxWFxPuno7X7mHiPTMwF7ey+RdfULtFfhnTTufIGTie6UjtDwDwNo++hbmnSbpalyoycghn0h3R58Nr+Xb1bJ1AqrcNgDYlhYxHHxnC2QwdvYkmKJQCD+69ii/+th+X1cPShybjdfn56u8HOL6+jot+P53cpUm0ltlY/ZvdNJd8e/1qBktzpYPNlfIa40cjxgg1Uy6II3VSGCGRGhBFbK1uqg5ZOfB5w4B6eoIWzIQlGqg71Nrt8bqCVsISBtdQfHR9IzEZ0heJ825O49O/D4+L+fxb0mWNH2pDRVO8Ht8AduL7w9rUfzBj27YNXUYGKQ8/jN/hwGc20/Dyy/jaA5mozothL2k2qV4KJ/D3I2/Z33z6IzT226UOdSpq3ZBbUA0InUlN8qQwEvJMxKSHEJ1hJDrdGLggjlLqdlRTtyNwAxIUwojXLH9bUYVLL0H2ms1DN5EB4m0zSx6rNJkQlMphyy75OzpGzF9mpFGGfTt8uRT99JtlL04gKjOU2oOtZC6M55I/zWT/u2UkT4umel8LmQviuPzvc3jx6uD2845xZjH3miSu/OU4NPruG4Zzrkri8odyWfXXY2x/V17PX9CCGWudnfgJEbSW27o8Hj8hAmvd4HpEDqyuZdGd0oOZ2demsu7pEtlKaHLRGJTMulaeHviBT4NTh73w/p59fSZckkLpluB7hEhVYNOmpFD/9NM4Srpn4rxmM772dnSpqTiOnfRv0Kam4jWbZTVwSqWv+fRHaMy3txFerR0dmRltiIqcedHkLoohfXoEUenGoKq7DDeDDWRUgppM1WTClTGo6L5TutX58aCOfzYjZ9EppaduuPHLmZMgoAwNHbayJl/76Hu/hgvVtySY6a8vKGNeHC9c9QXNpVaWPjSFmTdnM/7iVJ67Yi0um4frn1lE+txYjNE6OppHZ0n2qOAs3hSYeF4M1/1xPH6fyIG1DRzf0Yqt2Y0gBDaPs2dHdo5pb3VT8LWMbHSwJrn3zRKW/XIaoQkG6gvaQICEiZHMviOXDY8Nzkir9oiVxpJ2YrOkNT9pDEou/UU+7zx8cFDn7Y9Lfp6PziT9LWwq66D6UHBS8eOWd29mdbV7OPRhBVufCX5WSkrfhSoiAnVUFN7eSsVEEfOXXxJx4YV4WltxVVWhTUkh7JxzaFm1qtvwE+pjgmJgWYJ+59MH+lA1Ku3ozE4MByMZMKh1SiYsi2P6FUlkzomS5ZEz2pj83ZkUvLgX/2lmvvpoA/Gzkyn7VJ7UZ756DtHKROp8ZXjEkTXeO9NQGKRXCPglZm+HE6kZ5RMoQ0KGLZiR4/FytqEM/Zb4cvVzU7DU2WkuDdxrq3Y3MfPmbMq3NXSq2jYWWUifG4spVj+gYMaoiSQ3chGR+lSUCjUuXwcV5j2Um3d3jkkLn0Fa2HT0qlAcXgtlbTupsgbWgfEh40gIycMreog35lLUuhGVQktm+Gwa7aUcqP9Y0hgAgzqC7Mj5ROpT0CgNuLztVFkPUtp2UpV1YeqdlJl3EaVPJdaYgyj6aLKXcbjpS7z+k5Uu2ZELSA2bilKhpqmjFLtn9PRVBZvz7snA7xN55p69HN/RvZJr8+tV5M6L5N5np7P03oyRCWb2vH4cv9cfUDOLCuxo21tdbPpPIfvfHrwr9cYXSrnmL5Mlj592RRI1hy1sfW1o5CKnX5nErGvkZWU2PBc8d+5gSy/3h5Rgxmuz4W5oIOUXvwg84PfjaWmhdfVqOg4dAsCyaROiz0fEBRd0SjO3rl6NbefOzuNEXnQRYeec01mWFnfnnYg+H56GBqofkV5vLGU+vaENGRLV8jH6IDRWy6I7M5l5dTJa49nx/o+/YxqHXz3QLZhR6dVMvm+m7GAmWpnIQfdmWnyjS2nrTEAhwyixvxLWkUDunIJtDNkXcpvJzyYE7bc3g38q7U0nKytOmA6fWpXjcQQ+IyqN/E1CrSqEOUk3YXM3sq9+FU5vOyZNNG7fyXOmhk0jJ3IBh5u+xOKqJ1ybQH7MMgRBSaVlHwAxxiwKG9fS4W4hN3IxtbZCdtW+y5zkGynT7pA0xupqxOd34/K2c6DhE1zeDiL0SUyMvRCbq4Em+0kj5PHRyyg372Z79WvoVKFMjruErMh5HGteD0BS6EQyI+ZwuOkL2pw1RBvSyY06B6fn7OwrSswLoWRXW4+BzAmKtrVSvKOVjOnyxLyCumLY91YJ+94qwRChRaVVYm2wQ5AyZvs/qeWc72RJFgIAuPihfASFwJZXy4MziW+YdU0Kl/2qe5lXXzSXd7D/kzN4AdLP31FQKkl64AHshw/T8NJLiB4PgkqFcepUYm++mfJf/7rzhmfduhXr1t49MVo/+4zWzz7r83zV//hHt8fa1q6lbe1a2fPpCfW3OCsz3OhD1Sx/IIeZV6cM6EZ3RiKAJkz+IkhAgUv89pb0DAY5RomjTckMAJlzEjTDaCA9Gt+vYUKhPjs2XgaL13XKhs036wWv29ftsYGk/VNCpwAie+tW4fMHgvrTMxjZkfMobdtJrS2g9NrhbkWvDicrcl5nMOMXvdTYCtGpTORGLabKegCrqxGnx4peFSZpjNXViMvXwbGWDZ3ntnvaSAubQag2rkswY3E1cLx1MwDt7hbqbEeI0J1Uv0sNm0Zd+xGqrYc65xytz8CgDpf9Hp0J+DwiDlv/Gx8uuw+vZxSYZtrbgq+j7veJfP7vY9z82PT+B3+DQilwyc/zSZ8RyUd/KsQmoYm9L/Rhai7+WR4zrkqW9TpRhFW/L8DvG55ayJteWMzKuzcOy7lOoElMRJOQQM3jjyOesoNoP3KEyIsvRmEwyFIqG+n5qEZJz8jZzvQrkrjowbwRMbsdKlR6FfGzTl4jEhem4nedvKkLKoH0C3OwVphlH7vRV0W8Mp1i/4FgTPVbg6BQgJxyVe/oW5zLzX4Ma2bmLK7z7w85QfJZzRB+BkK1cVhc9Z2BzOlolAY0SiMWV9d+YYuzjuzI+WhVgRYFjy9Q3ub/xqfL7bN/87MPhaBEROx3DIBSoSEjfCYxxiz0qlAEFKiUWprsXS0frK6u3ksevxOV4qSwkFEdQZ2tq81Gu7v5rA1myva0kZRn6lMIR6EUSB4fSulueeV2QfsWRmaYaG904O4IfACMUTrGX5pKW0U7xeuDk5Eo/LKBA5/WMeVi6W67ABOWxZF3TgwHP61j28oKagotsr530RlG5t2Yxsyrkwck2brjzQpKd/WeVgs2SVOjhu1cJ/C2tiJ6PIQtWhQoGRNF1HFxRF50Ea7q6mENZIIxn29zv8xwoNErufL3E5l66fD7YQw1CpWSlPMyiJsV6Gub/8fzug4QwVZtYcefNvTw6r5p9deTr5lNhDIOi68FH10XuCWesSCnJ2Qvtkdjm5bcHe1vcYAxlPztjXR+cWP5yQfGgpkhR4A+P88KQXVyXLcXgt8fKHsTTysx6em6IGXM5NiLCNFEU9C4FqurHp/oZX7K7d3Gef39i1CdfnS/OPo2UoLF6keLeWDlLK74eS4f//M4vtOyLxqdkit+kYshXM3qR4tlHTto38Jlv5hG5a4mtj9/BJVWyY0vL0GlUaIL07DpiQL2vH48KOf58I8FpE0NJzxRngeIUq1g2hVJTLsiCafNQ+UBM1UHLdianDhtXhwWD36fiM6kQh+mxhihIWlCGGnTIjDFDFyit2x3K6v/dmTArz9B8jRpWvYKpYBCNfwLcV9HB/UvvkjkhRcSvnQpgkqFz2LBfvRoZ+nXt3k+Y5wkJFLDXS/MJj536BtnHVYPdrMHp82Ds92Lq92L2+HD7fDhcfhw23247ScfczsCP0emGLjsYXmlpCdw21xs+/06BIXA1V/ezscr3sTrOHlTE/0ifu/A5NPTVeNx+NtRoyVa2T0QHAtmekEUEX2+TlGR/hCUo2+BKjcDIFfqfgxp5M/oKiQher2g/fbK+A8HNnczSaETUQoqfGL3DKXTa8XtsxOmS6DZXt75eJg2AafXhscf3GqhaGMmRc0baHMGJPcVghKDWr6qnd1jJlQT0+WxEM3wb0YPBbc9MqnLz34/+Nx+qgptLL41ldkrEqk5Ygt4yghgitKQlG9Co1dy4PMGQqI0ICOeCdoVO3ZcGJv/UwjA+EtSUWuVPH/FWjIXxrPwexOCFsw4bV5e/5993PPi7AE3aetManIXxpC7MKb/wYOgvsjGyv/Zh887+B2ym18+JwgzGlocRUXUFMlraB5KBjMfr1P+7ojH6TtrNkP9Q+SFYorWcvdLs4nNlKZMKIX2Vjd1R6zUHrXSUtFBS6WdthoH7c0uScIVPZEus/mwJ0S/SFtRCz63F587OLttY9LLA0f0eCQHM6hGX5mpoJS3STUWzEhnwkxpSncKlYBK1XX/X877bN2yFet6+RnZ0YDPZut/0BBRadlPathUpsZfQUnbdtw+O3p1GCpBTUNHYG1Z0raNnMhFODwWLK56wrQJpIfP5Gjz10Gfj8NjJtqQTn1HESqFhpzIhQiC/E3kSst+xscso9VZjdlZS6QumShDGi7vmd8XOfWi+D6f14WoyJrV8312yvlxTDk/jp+Mly50FbRgRmNQY28N1BpOujKd/e+W4nF4aTjSRmji4EwzT6em0MKL9+7irudmjVrVo9rDVl78zk7s5uDdUJ668LN+fSoUKgX3fXph0M75bcXjkr8Ifvm7uynbPTTlhMbkLBKXXsPxV/6OXFWNvO/+gbr1q7Ac29f/YEEYsvIUlUbBrf+ZMehAxuv2U7SpiaJNTZTsaKGlcnA+VkPJV/cNXfAhoEAk+Aa5ZyuixwM6aaILConjhhOFTl41wlgwI52/vy3dx+50RDkqcz4fnubmAZ/r24rTa2VH9RvkRi1iZuI1KAQlLm87ZeaTKqgV5r2Iop/syAWd0sxFLRs7m+uDyaGGz5gQez7npN2L22enzLwTl1e+nHuN9RAGdRjjopagVKhobC/mSNPXZEbMCfqch5vnv7d/WM8XtEjAUttBVFYoulAN8RMi+eihgMydxqjGH4TMxOlUHTDz4j27uPnf0wiNG103ngOf1vH+bw7hGcDufm+42j2SzUe9rrO35nK4GMjfTmMc2t1c0e8jaPKAvZBz288p/u/fEf3BXyRf+svxJE8cuMFcc1kHW14rZ/8ntbjav51SsAIC6eoJpKhy0QlGNjrewynaSVRl4hO9NPgqR3qKoxafzYbSJK20UWmUrpo5XChC5M1pJHfSz0TuXFSEv5/LvlIt8OKGnC6P+Z3SS5gE3Vg52kCxuZvYU/d+n2MqLfuptOzv8bn69mPUtwfMut0+B2uKTyqibqp8ocu4/sZYXPVsrXq1z7lsrnyp22PFrVsobt3S+bOISFHLJopaNnUZV2MbnDfjaODweukeMcEgaMHMvrdKuOIf8xBFkQPvlWKrDyy84/LDMdcMTcqs6qCZx6/azNV/mkz+ubFDcg45OG0e1jxyjJ3vVAX92E+d37dU8akcfL886Of/tuGUIB94OkOZJeyoLqH4v/8csuMDqEPC0EYOzfcoY2Yks6+T58t0go5WN58/VsTu96v7zUyONkLTwrE3deC1B3bJdZF60i/KwVZloWajfA+sNPV40lT5VHmLyFKf9N3yi34y1BPHgpk+8LaZ0SRKE5yQGzgMB7ICLFHEZx0LZqTSYfPRWCMtk+V2db0G+SxmQNq1TWUKlTmzoWXmjZnMuyuXJ5avGfAx/D6R/zflvS6PVe5u6vbY5qcOs/mprspdA0FrVPGDzy9EGxJQ6/vvHRup2tcie8wYZxdBW33tfaOYpiILaoOKsi0n5fFc7R42/2fooky72cN/f7CHKRcncN73cmT50AQLv09k34c1rP13Ee0twZelBnB1SC8Z+OJv+4dkDt8mXB2BZnE5fVkhkfLlhXUxSaReegcVq54l6fwb0Mel4LXbKHnjMbwdVtSmCLJu+BFKvQG/18uRJx/udgxBpSJhyQpM6fkodQYUag1+t5O2w7uoW/cBAJqwSDKvfwB9XDIem4WGLauxFO3vfH3m9Q+gjYwDYPwDf+889uHHHkIUB5elERSCbF+mE5TvaeONn+4btKz6SDHjp/Np2FvH4Zf3odQoWfbM5Sg0SrShWg48vYuit+RdG5NVORS6t9Hkq+4SzLSLZgzC6FoojTYCi05pqCMjh24iA0QlY04+m21IsqtnK3cskN5bufatrpKx3jaz5NcqI8Iljx2jZ1wdXh5Z8AlhCQa+v+aCAY8Z4+wiqFvJVXu6p5WKvqwJ5il65cCndRxcU8+SezNZ/sPcYTmn0+Zh/yd1bHq5lLZqR/8vGCJCYnR4nD5ctrEa6WBirnMQlyNdcSs8QV5N+wnUIWHEL76c+o0f4WprQh+bjLcjIB3tsbVx9LnfY8ocT/KFt/T4+ujp56CPTeH4K39D9PtIu+Ie3OaWzkAGIHrGuVSvXYm9toKIiXNIuuBGOqqK8TraEb1eSl7/F4aENDJv+BGHH38oqAuhcYtjBqRcVrSpidd+tLerGdsZRnhOFIee3QNA+oU5KLVKVl//NgnzUpl07wzZwYxOMNDht/T4nGIADajfJjzN0ndmVVGjT1FIHS19Tt42eR4N33bs7dKvMU//vqt3iLdVep+kOjJySPsSv01IEakZKiEbOSjVChJzjSTmmYhM1BEer8MUpUatVaLWK1D2oD7rdft57KbdIzDbM5fR2T0/AASFwLyb01jynawhPY+tyUXxtmaOrGvk6PrGAaslBYNp12ex4N48jNGBniFrvYMtTx3m4KryEZvT2YSl3ikrmAkbYDAjqFQ0792IvS5QdtReKU+BTR+XSkd1MX6Pu/P1pswJXcaYD+/CVhpI8TfvWUfcgovQRifgrQqOymBfzL85TfZrGorbWfnjfSMWyCg1wQkM1EY1zrZAyW3GZbkUrzqK1+Gl7VgTxgT5AZ7dbyNMGY3d27WEKFaZis0/toDtC3eNdL8zVXg4gkYjr7l7iFHHSi8BlfO7jjE43PUNkscKGg3q6Cg8TWMiAGczcVlGJp4bzYQl0aRNDkWplnc/Gcl15ZnKWRHM6MPUXP/3KZKkln1ekaPrGwmN0WKK0aIzqVHrlSiUAUdSn8eP1+XHYfVgbXJhbXDSUmmnvshG3TErzWWjQzJvytUZLPnRRHb99zh1BYGdoYRJkSx9aAoqnZK9b5aM8AzPfJor7OQukj4+LnvgKl3OpoEvPlxtjRiTsgLeGH4/xqTMbsdzNp/ijCyK+D0elJqhF84wRmjImitvl1v0i7zzywO4HSMnZDEQc9ye6KhrJywjAk2ojqj8GLb++qvA8Q0axAF4zZR6DjFeM5cQIRyARFUWIYpw4pRp7HetC8qcz1Zc1dXSBwsC2pRknCWl/Y8dDgQBTXKy5OGusWBmyDjdNNNVJa9HVpOc3Gsw8+ONl/Dej3dQuaeZnCUJXPvYXN7/2U6OflFD0pRIrntiHo8uXg3ArJuzmHljFmEJesy1dra/fJz9752cl86k5iebL+X/LljD4vvzGbc8CQHY9XoJG/7Tc++Kxqjihifn43X7eeeBbXi+uQbPvDGLGTdkEp5owGX30nDUzOd/O0hLmbS+LDm/14SLkpn/nXFEpoRgqbez/71ydrxaPOr7JRVKgemXxLHghmQypg1c6GaMgXHGBzORKQbufn42Ecn974pX7jfz/m8O0VgqX0JvtDHnjly++Ot+Cj4+2URcsqmetsp2Fnw3fyyYCQI1h3su5+mN6HQjap1yQEpoom/g6lxNO78k5Ooc8u79PT6XA0d9FY1buwpG+L0js8OcsyAaQSHPufzAp3XUHrYO0YykoTMF59J4/N1CFvxlGaIIxauOYm8IbIZEjIumvUb+71jvK8fjdpOlnoxX9JClnkK7v439rvU0+YanpPdMxW+3421tldx7ok1NHTXBjDo2VpZctLtGRuA2hixON8302+14W1oklybqc3Lo2Le/x+fqD5uJzQ2jck8zKVOjaK1sJ2lKJEe/qCFuXBh1hYHs64wbMln8vXzW/uUAdYVtJE6K5IJfTkGpUrDnra6f2RX/mE3hp1Vse/k4xkgtft9pmyjfxAhao4rrn1yA0+bm/Z/u7FRFTZ0ZzdKfTOT9n+2gqcSGMUpL+uwYbI3SS+ul/l6Z8+O46DfT+OxP+6kraCMyPYRLfj8dhUrB1uePST7fcCIIMPXCOC75nyyiUwdWnRFsEseFsPTuvisiPv5XMeb6M7MXtSfO6GAmOt3IPS/NITS2f7nDza+UseaRY/h9ozu6l0pYooHaQ91rdesK2ggLsq/Pt5XaQnnBjEIpkJgfSsW+4S330YRGog4Jp+ilv+JzDjxz2NknIyggSP4lGbPkN1JvWylf5SvYRCQG56ZU9E4h5uJWVAY1ddtO7uB6OtwcenZgNdEtvlpafIGddwEBcYjlus8mHEXHMc2V5uGgz83Fsm790E5IIvrcnP4HfYPf5cJdPRbYymEwppkAzrJyQqQGM3njen2urrCNuHGBXf3kaZHse7ecvKUBBb74vHDqCs0ALLw3j20vHadgdeCa0lLeTniykYX3jusWzFTsbGL3G4HHesqkeJw+tEYVNzy9AGu9gw9/uRv/KVljjV6FKIq0N7swV3dgru6g5oA8PzXJv9d389j9ZimFnwZ+r9bKdva9W8b0azNGZTATmajjxj+PJ2fu4E2Wg0lThZ0J50aj60PAqLHMztqnyoZxVkPLGRvM6Exqbn9qpqRA5rN/HmXTS2fPHw3AWucgYUIEreVdL04JEyKw1o2cGMHZRGNpB26HD41eeslRzoLoYQ9m/F43glpN/v3/G/jZ46K94hjVa97A75G+8+K2tCD6fYSNm4r1+CGUWj2edvOg5habJa/0ztbsourA4M4ZDCKSgrch0LivrttjVeuCcz0ajYFM9GWziL5kJpq4cHwOF47SBmqeXoOrOtCAP+7J72LZfIT6lRs7XxN/02LCFuZz7HvPAKA06pj41s84fMfjxN9yDmHz8xAEgaYPd1L/2vrO14WfM4G46xeiTYjE3WShde0+mj7Y3mtJiv3wEcnBjC47a9T0zRgmSFcDdBYdR/SNeY3JYTCmmQD2wkJCZs6QNFYVEYE2LRVXRXcZ9bpCM/PvyUWpVhCbG8a7P9rO4u/lo1QriMsLY8tzxzBEaDFGaTuzGSeoLWhj0X15hMToaG9ydj5ec7DvwMPn9XPNY3MJSzDw2l2bugQyACVbGjiwqoLb/3sOdQVtHFhVQcHqKll+dlJ+L4DYnFCSp0Yy/+7uIk4KlaLb3EaSyctjuekv+X0GDCOFx+ln32cNzLs2qdcxs69K4POny4KuRRGVF03L0eHvCRt9fwWJXP2nSUSl9r/g2Prf8rMukAHY80Yxyx+eSmiCgbrCVgQEEiZFMPuOXDb8+8w3XBoNiH6Rsl2tjFvcfy/WCXIWRPPl/wWvqT5hyQrCxk1DqdUjKJWM/8Ff8bmc1H75Draywyg0WjKu/QG1X72DrfQwouhHpQ8h9bI7iZq6kKZdX0k+l89pp/ard4lbcDGJS6/BbW4etLdNdLo8qfTyPaOjiT1pEOaeQ0m2eirNvhrM/uE1JJNKyMQ0Eu9aRvlf38VZ2Yw63EjIlHQ8LQPzPEn/xdW0rS+g8d2tqMKNcEqJjGl6Fik/uITq/3yKvagWbXIUKQ9cCkoFjW9v6fF4zqIiRJ8PQdn/BoWgUmGcOJH2vXsHNPdgoQwJQZedLXm8/ejRIZzN2ctATTMBHEeOInq9CCppSyrTnDk9BjO1hW1EZZiIywujpcyG3eymrbKduLwworNCqSs0o+qln+9Evsh7WplzfyIq0Rkmdm9vIirDxHk/mcgX/+9gl+dFv8javxxg24tFTL48jUX35zHvzlxevWMDHRKtKKT8XoJCQK1XsuE/hzn4Yff3ZjQFMkvvSePSn2QjyKugHlZ2flDXZzATlawne04Ex7cH9557ySuXYy5to2R1MaVrSnA0SzN7HyxnZDAzbnEME5bF9TuuubyDNf8afanJYLD79WL8PpH59+ZjjApkp+ytLjb932H2vT066rzPBo6sa5AVzKRMDicyxUBrlbQvsLOphoJHf9Lr83XrP6Bu/Qe9Pq+PS0FQKrEc29/5mMdmxtXWhFIXCPaPPvO7bq/rya8GoK1gB20FOyTNvT8EAQzh8rx3mkZBP5vGoByUmINULnz1Ktbc1rej9emkqvJo8XXP9IwWFHo1iCLetnbc9W2469voODrw/o32g+U0f7ILoDOzc4K4GxfR/Mku2tYHNm9cta20fLaX6Itn9BrM+F0u7AWFGKdM7vH50zHNmzviwUzIrJmSgi8IlIraD41tZsllMKaZEPhcOY4dwzBhQg+v6E7IzBm0fbYGn61rkG9rcOCxe8leHE/1/kBGpeZgG7lLEnC1ewJ9KgJ0tLpInBRB2bbGztcmTorAWu/AKdOiob3ZyRd/P0jB6ipueXERLaU29r7TfQPYWu9g87NH2fHf49z34XImXprKjlekbdxJ+r2AxiILMVmh2BpGb3XJhT/I5MLvDy6TNxyU7bPQVG4nJr33Tf+5VyUGPZj5+JZVZF+aw4RbJjH9+zOp3V5DyafHqdpQic89dBnjMzKYWfo9afXD658rOasl7va+WcLeN0swRGhR6ZRY6+2MwqqTIWdh7M3UO4sptgZnEX4qR9c3Iv4WWTsw069M4ssnhl7yGMBtbkap0WPKnEB7+REElYbQzPGEZk2k4sPnh2UOvaExqGTvXA2V6awcchfGoFAO/ZZbaMbA6qzdOPsfdBpySwmEAW45WneX0PLFfrL/eSf247W0fnGAtnWHEN0DE7joKxDSp8dizE8m9toF3Z4TVIpe1eJs27dLDmZ02VlokpNxy1FCCyKCUknowu6/X284Dh/utkAeo38GY5p5AtuWbZKDGUGtJnzZUlo+WNXtubrDZsZfkMz6JwKKYzWHWpl/d25nXwkibH3uGIt/MB5LjZ26wjYSJkYy+5Zsvvj7wW7Hk0pdYRsf/2o3V/xtFm1VHZRtDwRKecsS0YaoqT9ixtXhJWF8OLowDW2V8jae+v29gI1PHeWaR+fQXGLj2Fe1CAqIyQ5FUCoo+KRrtkb5Te9SX9dqKWPksOT21DMikDnBgS8aWfad9F6fn7AkGoVSCGovedvxVnY9uoPdj+8ieX4ymZdks+C3i/G5fJR/WUrJ6mKaDjX2fyCZnHHBTHyuieRJ/ZeA+H0ihV9I138/04jLD6fhiBkAe9vILwAHg1qhxS/68Ymjz/TT2uii+qCZlCnhkl8z+7pUNjxXOiBVM7l4bGaq17xG3IKLSbnkNkSvB1drI9VrVtJRVTzk5+8LlVa+V4vbPvK1/hOXxw/4tTFTE/B7fbQUBC7WiQtSexynUCpQ9GCW1h8NvkqiFPG9Gmf2hs8jb1NHO9A6cFGk5qk1NL6zlchlU4i/aTGx18yj+MFX8Jp7F6dQ6HvO4PUaBAkCCp2a+tfW0/pl9wVcX7LXjmNFslTNIi6+kIZnR2ZjwDR3juR5Ati27xzC2Zy9DMY0s/MYR4/iaW6RbG5qWrgA285duGu6ijXUFrQFMhj7ApnImgOtRKaGUPDJSQGRXStL8Hn9LLo/n7AEPZZaB+seL+TAqsGJpxz9spaIJ4+w4p+zeeXWDbSU2fB5/My6KYvwZCMKlYCl1s76xwspWicvQyzl9zq+vo53HtjOgnvHMf+eXPxekZZyG9tePBlsnv+LKUy9Kg2VNpCtvPmFRfi9fqr3t/La3Zskj5FLztwILn9QernnaKBoW1ufwYzOpCJlgomKg8FXDxV9fqo2VVK1qZLYKXHM+skcclfkkbsiD0uZmYMv7qfs8+BVEZ1xwUz2/GhJ41oq7bg6Bi53O9q5482lNBVZOLiqnMLVVTjMZ25Akx92Dg2OYhqco7M8bsfblbKCmZBIDXOuT2XzK8PTq2UpOoCl6MCwnEsOA8mKagzB8XcZKKYYLROW91/C2htzf7cEgI9XvAHA4n9eEIxpdVLiOcAU7WK0ggGzvwk/XYO/3krQ5P4t9KHqAc8RwNNspeHNTTSt2k7e0/cTcd4kmt7fDoDP7kIZ0lVmWJcu3RASAFHEUdqALjUGT7PMG7EoYvl6PVHXXCVpuCE/H8PECdgLCuWdZ5AoQ0IIv+hCyeM9TU3YjxwZwhmN0SeiiHXjRqKuWiFpuKBQEHPTjdQ+9ngXkYnNzxxl8zMn+55aymz8ZUr3UuO9b5ex9+3e7zFOm6fH153K7jdKO5XOTrDtxaIuwcPxDfUc31B/+ktlI/X3Kt5UT/Gm3s/3+d8O8Pnf+r7fSRkjB2OEmtv+OXHAGR6300dTuR2H1YvDFvg3+8qEoM2vN8r2mfG6/aj6MIHOnRc5JMGMSq8m44JMcleMIzI3iqqNlex5Yhdeh5eM8zOZ/+tFmFJCOfjC/uCcLyhHARb9YAJbnznSbQfQGK0jY15cFz+UwZA0QVpj7tkcyAC8dN2XTLwsjbl357Hkx5Mo3lDHoVXllG5pGPXmUqciIBCtS6HBMbJZhL44+FkdlzyUjz5M+gLv3Puy2P9J7agomxopPAMwvTSEyeuxCTYLbk2X7dZ8Kp/e8M7JTlwAEd5d+hLiaWl8QaXgmq/ukH38xfrAAjxM0fOmzuf2//b4uMsu73pojFAPqPwgbEEeSoMOR0kdPrsbQ3Y8SpMed+1JRSX74Woilk3GuqsYd5OFsLnjMOYn426Ul22qX7mR9F9dS1xlM5atR0EhoEuLQVAqaPv6UJ+vtW3fTth5SyRnPaKvu5aa8gp87cPX0xV17TUojdIFNMxrPwf/2VtWPdzMXBJC1gQ9Wl33Beyrj/RcJmPbuo3QxYslZ2c0iQnE3HwTjS+/Ir8WdIxh4/KfZmOKkn5v8vtECtc3U7iumcoCK/XFHd2upcMRzHicfsr3W8ie3XtJc+7cSL54pjxo54zIiSR3RR6ZF2Xhc/k4/uEx1j34FfbGk5n55sImGvbVM/cXC0ZfMDP3nnx2vHisWzCjMahY9MOJQQtmQiKlfaDCE4be3XwkaTxm4etjB1n3r0NkLohjwmVpXPHPubjaPRR8VMGGx4amCXRpwnfY1/opra4aYnUZTI+6lP2tn1HvKCZcE8+MqMv4qu45DKpwsk2zidQmoVHocfk7qOoopNR20ltjTszVhKpjUApqpkVd0vl4iW0Xx63bO382qiLIDZ1HpDYJpaDG5bdT0X6A8vZ9nWOUgorJEecTq89AFP00OSs4bFmP1z94WVWvy8/u96pZdJf0Wll9qJrLfz2elT/e1//gsxS/T8Rh9cja5TfF9C+1PlREJhuYf2v6oI7hc3UNGtztLryOHgIJt6/bWCl87XhrQPOyNboQRem9X0q1gsT8UKoL5AUYosdH9OWz0MZHICgVuBst1L2yDsv2kzu9DW9uQhVhJPWhFSjUSizbi6h+cg2x18yTdS7rjiLK//ct4q5fRNx1CxB9fpzVLTS+23Pzf5d5+ny0rfmcmJtukHQupclE3N13UvefpxC9Q79RFnHhBRgnT5I83tPQQPveb++1Jthcd380t/4klvJjLtLHaSk76iI+VY1KJbDmzd4bpkWfj7bVq4m9/TbJ5zJOnkTMLTfT/PrKk15fowCFQY/fPvBGfKVWyYq3V7Dp95to2Dc0Jf9qo5prP74WTUhgXfjZvZ/RsD+450qdFMrsqxIljfU4/ax7qYKtb9eMGkPKou1tfQYz6dPCUKoEfN7gBNOXvXYlTQWN7Pj7Vsq/LMPfS4lz2/HWXpX5BsLQl5kJArog7rZK3TUNidKSPT+a4q3Dr3c9nIh+kZJN9ZRsqkcfruXcn0xizh25QxbMWD1NmNTRtLpqiNAmYveaCdfEU+8oJlQdg8Ud2LHyiW5c/g4OtK7F5e8gQpPIxIil2DxNNDkDge3u5o9QCEqWJnyHA61raXQGUubiKYaNWqWROTFXY/M0s6/1U5y+DkzqKNy+rhfZVONkytv3sb3xHXSqECZHnE+WfxbHLP0vbKSw8aVSZl+XIquXYOL58Sy4LZ0tr5YHZQ5nIuZah6xgJm36yJiPCQqBFX+Y2Gc6fiC8f/6rvT537I2+swc94RUHFpx73X462tySN4Mg8LeQG8xYdx7HurNv8Quf3UXlIx92e7zt65O9L74OJwcu/VP/59tVjHXXwLK67bt3Y5o9C112lqTx2vR04u6+i4aXXh5S75mw884l/ILzpb9AFGl+9/2xnf0gcuENETz2y1q+fNfMm3vzeOCyEtQagZ8+kkR9Vd+9nR37D+CYc6xPc8zTCZk+DVWoicb/vo7PGvySH6kISiWGiRMwzZ8HItQ//czAj/XNzklvi9lg4OnwsPK8lYQkhHDNh9cMyTmW3ZsuaROoqtDGaz8vpKFk4MbVQ0H14b4FQdRaBdGpBhpKgzPvT277kNZjLf2Oc7Q6+PJHnwflnACDunOr9Spyzk0k59xA1Jq5OKHz55xzExm3PJklP57UzdhxMMiRHbzqDxMlmWqeyQgKgfR5sVz2l1nc99mFZC2KZ/frQ1eyZXE3YFIHSlzCNQlUdRQSrgmkS03qGCyewK6Iy2fnmGULbe5a7F4LNfYj2DzNhKpP1sb7RE9n079f9Hb+7BdPlielGCcCsLdlNa2uGuxeMw2OEtrctd3mddy6nXZvK83OSursRURogpfG7Wh1s/FF+T09F/0sj/FLB96DcabTVCbvAhmXY5K14A4W592fTdZcaaUhweLgM7v7H9QHgszLd1OJvBKpKZdI2408YxFFmt96S1Zgos8bR8IPvie5jEgOglpN1DVXE3nZpbJeZ9u+A2fx6C3TPROJjFNzeFdAXt/vF9HoFHjcIq892sRV3+n/b9/0xpv4OuRd+3TZ2SQ9+FNMc2bLk88cJIJSiT43l+jrryP1j38g9o7b0efmDnoOXqeXd694l6aCoffEOr2MN1jEpBmYdF7/fdqHvmri3zfsGnWBDECjhHtwbEbwTKKlBDIAXoeXxgPBy6INKjOjVCvIXZ5M2pzAAvWyv53mrCxCW1U7n/1212BO04XmCukflvBEPT98fyFrHjnGgdW1Z5VMc3RWKBMvS2P8JSkYo3SUbq7nk1/tomRj/ZCaS1k8jWRqZ6AQlISqo9nXsprs0DmdP5d8U0amFNRkhEwjRpeBXmVCQECl0NLkLJd1vkC2p6FfpTOrp2sNs0d0oRKCG8hufqWc2denEhYnvYRRoRS46dFpvPOLAxz4dHT6g8RmheBx+mirCb62f/UhC5Mvkh5UCgLMui6FdU+XBH0uvTHrmhSWfu/MUKkREEhXTyBFlYtOMLLR8R5O0U6iKhOf6KXB191s7gS1R6xkzJKujJU8MYyMWZGU7erbQfxMxtPcQsuqD4m+7lrJr9GmpJD04M9o+2wN1s1bglJ2ps8bR9SKK1HHyhNC8La20vrRx4M+/xhdsbR6iYhVUVvhprHGQ85EHYW77dg7fIRH9b9s8lmtNL/5FnF33SkrKFCGhBB9w/WEnnMO1o0bad+zF9ETZJVPQUAdG4suMwN9Xh763BwUurO7LH+gzLw8HkHR99+vqsDKf39WGLQyrWDTWuPE5/H3WdUU24cXjVym3TeDAy/s65aR00cbSJyTRMnqobGtGFQw47S6Wf3wTgSFwAObr+DZiz7tIkfr94lBX1hX7jfD7dLHGyM0XP2nSVz403Ec39xM+d5Wmss6aKtz4LB48bp8Z2SQc/f7y2kptbHn9WIKPq6Q7MQ7WCzuBkLUkYSqY2j3tOH2O7B7zYSqYwhRR3UGFZMjlhOijqSg7WusnkZ8opf5sdLq009FQNqNwDsMss4ep4/3f3OIO56ZJWvTSqEUuP4fU0maGMbafx0bFRc9jV7J+GVxzL42lfQZEbz6vT1DEsyU75W/EF54ewZbX6vA1T70vQnzb0njkp/nD/l5euK8Jy/l6+99Ius1aerxpKnyqfIWkaU+6ZXiF/1kqCf2GcxU7GtjwW3pss538YN5PHPL9jPyGikV27btaJOTMM2fL/k1gkZD5BWXE7bkHKxbt9G+azfeNnnmc4JGg3HKZEzz5qLLkO9dIbrdNLzwIn6nfN+hMfrm0A47s88zUbjLzo6vbDzw10Q+ea2V6YtCqCySdq+1FxTS+slq2Zk2AE1CPNHXX0fklVfgOFaE48gRXJWVuOsbZIk8KI1GVJGRqGNj0CQmoklMQJuSgkKGsMTp5F+XT961eYQkhOCxe2gtamXHP3dgKT9ZknrTVzcF+lgE+OonX1G1+aT8cvrSdDLOz8Dr8JJ2bhp7ntyDxqhh4m0Tqd5SzYZfbQBgxTsrOPTKIZLmJZGyKAWvw8vRd4+y//n9sv30Mi/IZPKdkzElm+ho6KBoVRGFrxf2K5Y09YK+Nxc8Lj8v/PAQ7mGwYRgofp9Ic6WDuKze/+bBzMxMunMKh1452C2YUetVTLt/xugMZk4g+kUajwUk4Lyuof2jHtvYhNvuky3haozQMPWyRKZeFpzSCZ/Hj9ftx+P00d7ipr3FTVuNncaSdhqK26k6YB5SRbX/3rqO2oPDv2Pq9LXj9XuI0aVjdgcyDWZ3PbG6DLx+F05foJQlWpdGkXVrZzmYQlBiUHZXohO/uSoJQs+7BjZPC0mGfJSCCp848gp1x7c0s/2NCubdlCb7tQtvzyBnfjSf/O0IJdulpWKDicagJGd+NJMuTCD/3FjUQWy+642aAgvWBiehMrJZ+lA11/x5Mit/vG/IlPk0eiWX/CKfWdekDMnxpRA9SX75YbIqh0L3Npp81V2CmXbRjEEI7fO1x7c24/OKnUZyUkiaEMblv57A+7+V399zJtHy/qrAbnW2vAydMiyMiIsuJOKiC/HUN+AsLcFd34CnuRl/Rwd+txv8IoJajUKvCywsY2LQZWSgTUtFUA3cz6dp5Ru4a0dntvdMZ+VjjTg6AouxVc+3kJmv466fx1FX5eHfD9b08+qTWL5ehyosjNDFiwY0D4VWi3HypE4xCNHrxWu24LOY8dsd+D0e8PkQVEpQqlCo1SiMBhQGI0pTCAptcKsT4qfHM/OBmaz/5XrMpWZ0kToSZiZgb7R3Gbdy6UpUehW3bLilx+MkL0hm61+2Yi41M+N7Myj5rIQvHviCi569iEOvHKK1KLC2mfPTOex6fBf7n91P7ORY5v58Lu117RR/Ir2sMmluEvN+OY9tf91G8+FmwtLCmP/r+ShUCg6+1LvJaESCrs8AAGDb2zWY60f/ZkJjub3P3yUqRT/0kxAEtGFD1/YRNAGAN+5cH6xD9YnH6WPra+UsuVda0+ZQoVQrUKoVaI0qQqJO/IFO1tL6fSK1R6wc/qqBg5/W0Vpt7/lAA2QkApkTWD2NxOtzOG7dBgSCmSzTTCynlHo5vFaitanUO4pRCRpyQuf0GLCIoh+710yiIQ+bpxmRQC+NyxcoJ6zsOESqcRJTIy+ixLYbt9+OXhmKSqGhwTF8pUinsuaRY2TMjCQ+1yT7tXE5Ju5+YTYlO1rY9loFR9Y3DtmCXakSSMgPJWNmJLkLY0ifETEo2eGBIIpwaG297IzAhGVxXP6r8Xz8l8NBdScGyF0Yw+W/Hk9kSvB2o04QM0Wa4aagFAZkmqkTDL0aZip62RA4gavdS8n2ZnIXxsg658yrk1HrlXzw20O4ByC3fSYg+nw0PP8icfd+B13mwBy+1fFxqOOHoT9OFGl++x06Dgzc7X2MvqktP9lH5bD7+fP9VX2M7puWVR+CIBC6aOGg5yWoVKijo4akZ0sKKn1gyehodmCrsWGrsdF0qOeemL76WHxuHyWflmCMMzLjBzM49v4xWota6WjoICQhpDOYqd1ZS9EHASVES4WFuGlx5F2bJyuYmXLPFI68fYTStYGeV2uVlaL3ixh31bg+g5mMaX3bgPg8fr58tlzyPEaS9ta++wJ1psGFAiq9ioTZSZ0/Jy9Mwec+ea9QKAUyL87ukr0LNmecaSbA+udKmHRBPFFpA0+VDjUKpUDyxDCSJ4Zx/o9yOb61mU0vllK8bfh35IONxd1AjC6dtlMyMwZVOLX2Y51jDpm/ZEL4uZwTdztuv4Oy9r24fD0HdIfaviQ//BwWxN6E2+/guHU7NfaA+ZvTZ2NH87vkhs5nZvTlKFDi8ndQZts79L9oL3icPl65fzf3vzF/wAITWXOiyJoTRXurm6PrGina1ETVQTOWhoHt8hgjNESmGIjLCSE+N5SEPBPJE8OGJfvSH9vfqGD+LWn91h6fzpwbUknMD+XtXx6kRUavXE8ICoGcBdEsvjuTTIl9I16XH5VWXsCx9OnLBjI9ydj9NsKU0di9XUVVYpWp2Pz9lzntfLtKdjADMOXiBJLyQ/n6mWIOfVYX1FJJhVLAFKPFYfGMaLDkd7loePY54u69B11m5ojNo09Ekea33sa2Y+dIz2QMqYgiLe9/gM9qJeKSi0d6NoOiZlsNxz86zsUvXkzL4RaOf3Scks9KuixcpeC2BhbXvm8qeZxtgfuez+1DqT15zzKXmbu8rvV4K6lLUmWdKyI7gtjJsUy+Y3K35xQqRa+tEKmT+850Vxy0Ym0eOlXDYOKy9/330RkHFwooVErSzksncXag8mnxn5Z0HSCCtdrK1v/dNKjz9EVQg5mMhfHE5UWg1nVfAGz6v+C5J7vtPl770T7ueWk2xoiRNdmTSs78aHK+kYr++C+HZas8jSaKbTsptp28mXZ421hT80SXMRZ3A1sb35R0vDZ3XZ9jbZ4W9rT03uS6ufH17nO07qDYukPS+QeCpd7JK/ft4t5X58qSaz6dkEgNM69OZubVyUBgB6W10o65zkF7ixuPy4f3m3pcpVqBSqNArVdiCNdgCFcTEqUlIlEvu+xyOGmptFPweT2TLpSvLpcyJZwff7yIo+sb2fl2FaW7WvC6pNWMq3VKUiaHk7ckhonL4wlPlJ5K3/B8KZX727j1/2bInvPHK97oN9smqBRc9p78HrJSzyHGa+YSIoQDkKjKIkQRTpwyjf2udf2+/uj6Rlqr7APKSkVnGLnub1O48MfjOLqhiYp9bdQUWGhvdeG0ebtk0JRqBboQFTqTCp1JjT5MjSlaS0i0BlO0FlO0lrB4PeGJOkJjdSiUAs/eup3yvfL6ToKN3+Wi/qlniL7uWkJmzRzRuZyO3+mk6fWV2AuCdy8do2dW3B1F0QEHhbu7bsDNuyCUyGgVq1+XXxlh/vIrPM0tRF9/7RnbcC/6Rbb/fTuHXjlE9qXZTL13KhNvm8hn3/kMR6v0nsvTr4+9XS9Pz14LgiCrX0ZQCKh0KvY9va/HbE5fPd3R/Vwji7aP7LVKDq6OvoOZwa4f3DYXm3+3AUEhcOPXt/DeFW938VcT/cHvnz+d4Jlm3p3Hwu9PoOm4hZicMJqKLIQlGwN1ie/Jl7Ttj4bjNp6/Ywe3PD59VGdoTid7fjQ/fH8hq//fEXa82Xuz7pmKJjqWlNu+h1JvxGdvp+TRP4z0lDrJfvB/aVj9LrbDB4JyvLpjNl6+bze3PzUDnUm6l0pfhERqCInUkDo1PCjHGy189sgx8pYMrE9HoRQYvzSO8Uvj8HlFGops1B21Yjd7cLZ7cNl9KFUCaq0SY6SGsHgd0elGotONKJTy5UX3f1zL5/8+hs6klmU0CeBpd9NRL00CWe5uJkC9rxyP202WejJe0UOWegrt/jb2u9bT5Ou/lt/vE1nzr2Pc9Og02ec+QWicjtnXpTD7uq79Rh6nD4VKIasnZzQier00rXwDV00NkZddiqAc+Y0CT30DDS+9jKexZ+f5MYLL5XdE8eyf6rs97uzwc/XDUQMKZgA69u/HVVlJzC03o8tIH+QsR46Ohg4OvHCAwpWFrHhnBVkXZ1HwWvC97cLTw7v8HJkbibVKug+P6BdpO95GeGY4HY3yNpCjkvsOOEt2n0HBTD+ZGW2QNkNFv0hrUSs+t29A97fBELRgZvJVGaz5/R4KPirnhxsu55UbvkSpUXDJn2ZjrhmaLERDcTtPXLOF5T/MZe6NqcPeDzBQVBoFV/xmAgl5oXz4x/4VNc4k3M2NlPzr94ROmkHMMvkqLmcaFfvaePa2Hdz57KwRda8f7ZhrHXz+WNGglcOUKoHE8aEkju+7BGCgFG9t5r1fH0QUwWH10HDcJqs36qMr35A8tvSjowOZIi2+Wlp8AWENAaFTREMqBZ/Xc3xLMzkL+vdPkMNoKGkMJtYNG3EWHSf6huvQpsorbQkWos+H5auvMX/xZVAkoMeQRmSsiopj3Ut+G6rcRMUPbuPK29pK3RP/h2nuHCIuvghlSMigjjcU+O0OHEeOdHs87bw0NCEaWo624OnwEJUXhTZU22OAcSKrIgxgQ+kECbMSyLs2j7qddcROjiV9WTrb/9/2buOEbzZQejrXvuf2cd7fz8NcZqZiXQWCQiAiKwJBKVDyae99tyFRfVf9WBqGR0E2GPQnRqXpoZpqoKy5d3XQjiWHoAUzITF6avY1AwGTKZVWidflY/OThVz39CL2rgy+qZegEIjPDcXn8dPR6palmDQamH1tCiqNgncfHmvkPJOpL7Lx9C3buPWJGQMSBfi2sOXVctJnRDJh2eg0ET26oZE3frK/Sz9I+Z5WWX9TT4f0Guo9j2ztd4wSFT56vxHJDWRO8M4vD/LD9xdgih4LwPvCXVdH7b8fJ3T+fMKXL0MZNjRBdDdEEXthIa2ffIqnIXjGcmNIw9HhJype3UUIACAsSoXbFYTNR1HEtm07Hfv2E3beuYQumI/CEHxBErlzcpaX075zF+179/VoJuv3+Mm/Ph9TkgmFSkF7bTt7n9xL5YaTVSbT75/OhJsmdPa+nPeP8/B7/ZjLzHx080eypnT4zcPET4tn5g9n4nV6KfhvAcc/OSntO+dnc8i9MhelJnCuC5+6EL/XT+PBRtbctwaAqo1VfPXTr5hy9xQm3zkZv9ePpcLCoVf6VmjU9LM502EeejuIoNFPeYHXc+ZvqActmLG3uTDG6GirasdaZyd+fATV+5pxd3gxRAY3yAhP1LPwtnQmX5I4Im7hwWT6FUm0VHSw7pmRUeaSiy4pjeglF6JLTEFQKnHV19Kw5n1c9dLlKrXxSSRdewfVK58l/vIb0CWm4G23UfnCY3jbAzs8kfPPJWL2IhR6A666ahrXrsJZVy15HoJSSdzFV2OaMA2/x03rlq87zccMaVkk3/xdih/5LX7Xyd23hBU3A1D3QfcenP5oq3bw5A1bueShfObcMDK7uGcCb//8AHc8M5OMmdLNG4eD/Z/U8u7DB7spp5XtbmPujfJluIPFfP1lHHJtwewPlBdN0iyk0L0NP4NL4be3uHj1e3u458XZg+r5+lYgili3bMG2YwemeXMJXbwIdXRws1qdp/J46DhwEMvXX+Ou617mNMbwcHB7Bzf8IIbigw4c9kCtv0an4PrvR1OwM3iVJn6nk7ZPP8P85VeEzJxJ6IJ5aBKDYx8hbQJ+nBUV2AsP07FvP97WvsvnqjZVUbWpb2W3vU/tZe9TvQv0lH9VTvlX5QA4zU5env1y53MfXPtBl7Fep5f1D6/v9Vg7/rmDHf/svze2eks11Vuq+x13Kj31fp9A9IvYLWdOplSt6Tvz4gmiT84ZaZp5KlV7mshanED13mZKNtRxwW9nsO/tEtLnxdFcIr3GsS/ic00s+U4WEy+IH1At/Ghl2Q9yKN7eQtUB80hPpV/8Dju2gr3Uf/wWos9LzLLLiL/seiqe+5es46hMYcQsv5ymLz7C3dKENiG5M5AJmzaHsKmzqX7zBbwWM+Ez5pJ8y3cp+8/f8Nk7JM0jcv55GDLHUfXKf/B2tBN7/hWoTAGpRXtFCR5LG6YJU7HsDaSsBaWKkNwJ1Lz90oDfG6/Lz4f/W8jxrc1c9qvxhJ1hmcLhwOP08er39nDzY9PJnjcy8qKnIvpFvn66hK+fPI7Yw+ZU+e6Rk0AH0AoG3OLJxtoEVQaH3d3LLAZCTaGFl+/bzW3/mYE+LDg9X2czoteLddNmrJs2o8tIJ2TmDPT5+agiIgZ1XL/TibO0jI79B7AfPIjfdeaUr5ytvPrPRv7xTgYvbMyh6KAT0S+SM0mPRifw0HXlQT+f6HZj27oV29atqKOjMUyehGHCeLSpg/Ai6uk8Xi/uujpcZeU4S0txHC/Gbw+ubUQwEeQ0LAYZn0fsfZ0pCMjUIhhRjOF9X9+DqSJ5RptmAmx9+jBueyBS3f3fImJywzjnfyZhru7gs9/uGtSxlWoF592fzTn3ZJ5VQcwJBIXAVX+YyBNXbwm6p0awcbc24W49qStv2buNlNu/DwjI+WoLKhVtOzbiqK4AwF5a1Plc5PzzaNmwtjPL0rL5KyLmnUtIzngsB3ZJmkfYtDm0bd/Qmc1p+uIjTOOnnBy/fwdhk2d1BjPG7HH4HHbsZYMvhzz8VQPHtzRzzncyWXRHxqjuJag7ZmPHGxWU7Bg+yXBXh5eXv7uLix/KZ/4tI5f1sDY4eevnByjb1XvAYmt20VLRMWIiI27RQagiCrvP1v/gAVCxr43/XL+VWx6fPlYiKQNnWTnOsnIAVFGR6DKz0MTHoY6JRhUVjdJoQNBqETQaEEVEtxvR7cHnsONtacXb0oKnsQlneTnu2lp6jKRHGPuhAsp+/NORnoZk7IWHgzbf6lIX37+4mItvjCRzgg5BgC/fM7P6tVaaaoe2vMjT3Izl63VYvl6HoFSiSUxAk5Ia+GxFRKCKjEAZEoKg0aBQqxHU6sBnzOtF9PrwOx34Ouz4Ozrwms14W1vxNDfjqavH09iI6B9aVamzBbfD12t2RhDAEK6mveXMkGYOT+i7nNjSOAy/x5limtlWeVLBx2338uFPtwXluLFZIdz06DRiswbWJOeweKg9YqW9JSAf6mz34nbITw8qlAoUCgGVVoFGr0QXqiYkUoMpNiCNO9gFa1yOiUkXJnBgde2gjjPUKI0hRC1ajiEjB6VWF9ihUCgRFIJsIQNXffffVVAq0URGk3DVLSRc1dU9WBV2cge0r3mAgDosHHfzSeUfj6WtSwOtdf8uos+9CHVEFJ62Fkzjp2I9sItg7bV4nD6+fOI4u96uYv6t6cy6JjloimeDpaPNTcHaevZ9XEPlfvOIzMHvE/nkr4c5sq6BFX+YSGTy8NWL+zx+drxZyVdPFeOw9L8wKdvdNmLBTJW3iMnaRWSLU/CKgbnO1l3Qa6/Mduenss/RWmXnP9dtZcl3MjnnO1mo+ilJGKMr3pZW2lsCAbFWZWRJ9g8QcANu6m1H2V+zakTnN8bAaG3w8tq/R1Y9TvT5cFVV46qSVyI1xuBxdngxRvR+zzaeQcFMXGbf96/WGumy2j1x1ppm9mVEJIfE8aHc+ews2V4y5Xva2P1eFeV722itGvoUqiBAZIqB5Enh5MyPZvzSuAE5qi6+K2PUBzNJ192J3+mk+rVn8Nos6FPSSb3zgQEdS/T1EFQKAghQvfI57OWnpSNP2VHqfx7dM0Wi/+SXy9tho6PoMKGTZ9K6+UtCcsZT/uwjA/o9+sLS4OSzfx7lqyePM+PKZKZelkjypHBZcr/BoK3awdGNjRxd30jJ9pZRkwEs2d7Co5duYtY1ySy+O5PwBOleMHJxO3wUrK3n66eKaa2Wfl0o29Pa6QM03JR5CjD7mghTRqNBS6giilZ/Pf4g7+T7PH6+erKYXe9WsfiuTGZenTKs3kWiSFCNOEeKONM4BE5+uWOMWSgFFT7xzKmvH2OM0cDp/TPDTVutk6jk3u9H4XFaGkpGv1+gUiWQOK7vZEBL9eCCmbPKNFNQCMy5axxTr8nEFG/g6QtWY2twMOHSNDxOL0VfSm8QB0ieGMZdz8+WFRQcWdfImkeODrshpSgGjAFbKu0cWF2L+n+VLLgtnWU/yJFVFpeQF0psVgiNJdJ8KoYbQaVCn5JO1TcBBIAmUr6beF+IXi/u1ma0cYl0FHeXhpQyD9Hvx2NpQxMdR0fJMQBURhMKTdcUp3nfDmKXX46zthJnfQ0e89D1R7jtPratrGDbygpC43RMWBZH7sIYUiaHY+innlUuPq9IU2k71YcsVOxro3xPKy2Vo7cu2ufxs/2NSna8VUXOgmimXZ5E7oLooPRxOKweKveZObS2joIv6nH3o7ffE32VoQ0Hbf4G2vwBRatkVS7F7gN9KpwNBmuji0/+doTPHyti/LI4Jp4fT+asqAFtzvR5ngYndcdsVB0wU3nQTNVBM672M3/BH28a1+VnpUJNdEgmDbaiXl4xxhhjjEaaqxxkz+69Hy5zZjjHto7svUEKmTPD+8221xwZ3JrzrDLNnHVrLtNvzObAu6XM/+74zsf9Pj9z7sqTFcxoQ1Tc+K9pkm+gbruPj/9ymD0fjI5UrMfpY/2zJdQds3LTv6bJKkGbsDxuWIKZVX8oYNUf5JtcedvbMaRn46goQRuXSOTCZUGfW8vGL4i94ErcTfU4KktR6A0YM3OxHtyD3+NG9Hr7nYdl/04i5p6Do7IUb7uVmKWXgtj1y9RRfBTFJdcQPmMBlv07g/579Ia1wcm21yvY9nqgXygqzUjyxDCi0wxEJBk6XdE1BhUavQK1TtmZ7fR5RLxuPw6rB7vZjb3Ng6XBSVuNnbZaB00l7TSWduDznHl10aJfpGhTE0WbmhAUAknjQ0maEEZCXiiRKQZC47SERGpR6xQo1QpEEbxOH26nD4/TR3uzm7ZaB201dlqr7FQdMNNY0j7odgRzrYOHJ3wWnF9ykFj8Tf0PCgJuh4/9H9ey/+NaFEqBhLxQEvNDicsOITLVgClaS0i0Fq1BhUob+Hv4vX68Lj8etx+Pw4fd7MbW5MLa5MLW5KK1yk5TaTtNZR39+h6ciWiUeiIMASVDr9+NShGoKIg35Y0FM2OMcYbRX9YlZ3YEo+Ou0DeTl8X2O6Z8f3DKv84O08yrM1j7hz2UbKzrEsw0F1uJTJPXWHrFbyYQkSSt3MTnFXn9R3s5vrVZ1jmGg2Mbmlj/XAnLf5gr+TXpMyKB0SvTXP/hG8RetILIeefiaqyj/uM3Sbn1/s7n4y+/gZDc8Sh0egSFkpxf/BW/00HdqpXYy6U111sP7kahVhOz/HLUEZH4HHYclWVYDuyWPI/WLV+jDo8k5Y4f4He7aN30JeqI0+RURX8g6JmzmLr3Xh3cGzMIWio6aKkY/enq4UT0i1QXWKgukHeRVWsVvHBoFhABJPHkj4vZvnr4xA2Gmj2ur4b9nH6fSE2hhZrCoat3Phs4tcSsxnKQ5PCpKAUVMSFZKAQlfnF4b+5jjDHGwCnZY+7z+bTJoRgj1HS0jV6/GY1eyczL4/scY6530VbX3SB2oJzxppmh8QZay7sr7oh+EYVKeqlV+owIpl4qXWd91R8KRmUgc4JNL5Yx57pUyYaeKZPChnhGg6Oj5Chl//fXLo8V/fmhzv+v/+jNfo/hqq/h2B9/0ucY855tmPf0LiLR3zxEn5f6j97sMp+2nd3rNQWlCmvhPvyeM6ORb4xvF/2ZZo4xeog7pcSspaOcEE00UcZ0VAot0cYMGtuDbxw9xhhjDA3VhTZcdh/aXnoHlWoFS25PZfW/R+/m84IbktD3U+FU8PXQZfuD1T8vheCpmVW1Ez8hsouqGUDO0iQaj0nf0Vt4R4bksVUHzOx5f3SUlvWG1+3n6MYmZl+bImm8zqRGH6rGYR290f6ZjqBUISiV6JJSCZ8xj4oXHhvpKY1aXiyYNWB1qx2ftvCf/xlbwA2GwZpmrvhhMit+mNTjc84OH7Y2L5YmD0V7bRRutXBku3VUu0Fr9QqWXB+Ly+5n/dsjqzR1KmqljihDQGbcL/posVdi0EQQZUwHIM6UNxbMjBEUssdreezNZA7vd/LgbfJ6kceQjt8ncmRjC1Mv7L1Ma9FNyXz1QgVO2+jbcAqJ0nD+/f2vpw98HtzrqKAQmHjbZHKvysMYZ+Tdy97C3thB5kXZ+JxeKtaVB/V8JwhaMLP9+SOc/+sZRGeHAjDx8nSis0IZd34y7/9oq6RjRKUayF/Sf33fCT5//MyoQy7e0iw5mAEIT9CNBTNDiCEjm6Tr7sJnb6fh0/dwt4yeRdEYY5zKUJpm6oxKdEYlMclasqeFcPHdCbTUuvnwPzVser8J3yhRvDuV/Lmh3PxwGpZmz6gKZmJDchCEQNDfaq/E53fT2F5MXuzSb57PRhAUiGLvu5RJYZOYlHAJXr+LL4seRalQMy5mCfGh+QgoaHNUc6xxHR3uQNlkqC6ecTFLCNcn4hN9NHeUUtS4Hqe3d08itVJPbEg2UcZ0QrVxaFUhqJRafH4PHp+ddlczTR2l1FkP4/H1X3oSrk9kbtptct6qTj4/9k/8/ai8qZU6ksImEW3MJEQbjUZpwC96cXrbabVXUmcppM3R/4ZmqC6O+el3AnC8aSMlLYE1SaQhlaSwSUTok9GqQkAQcHs7sDrrqbUeptFW1KsMeky8ine2dV0s+nwiVrOf4sMuPn/fypcf2obEQkgUwdF+5vVFnuD+h6O5/jsnm+vdLpG2Zh+F+xx8/r6N7etGR9n17o/r+gxmdCYV1/0uj1d/Jr//eCgRBLj5L+P7zcq01Tkp2W0O6rnH3zSR/OvHU/TBMSbfPbXzcdHnZ+Ltk0d/MHPksyqcFjfzvjsed4eXBfePp6nIwqqfbKN0U52kY+SfF/eNT0j/mGsdlGw/M2rhW2TKQ2tDhkQxe4xv6Cg+StFfHup/4BhjjDDBNs10OQILIEEATQ+GcFGJGu76cwbzr4jise8fp8MyunYcJy4YnWW48aa8zv9vbA9IytvdbbS7WwjRRKFW6og2pNPUUdrvsVQKLVpVCBPjLyImJKvz8diQbMJ08Wwtfxmtysjs1Js6RQaUQGLoBMJ1iWwpfxGfv+tmmFqpIz92GfGh+SiE7mUzKoUGlUKDXh1OTEg22dELOVD7ES0d5QN4N4JDcvgUxsWci1rZtURbISgJ0WgJ0USRGj6NxvbjHKpbLSn4AjBqoxAEBRPiLyQ5bHK35/XqMPTqMOJM42jpKGdfzQd4/a5ej+d2iezdErjHG0wKktLUzFpkYNYiA/OWGvnfB+qDGtAUH3Zx6ZTRW9okh4piN3WVHvRGBUnpas671MR5l5rY+lUHf3ygHqd9ZAO2IxtbsDa7CY3u3R5k+iVxVB+28vWLlcM4s7658he55C+O6nfcpteqgm7TkHPlOLb+eTPVm6u6BDPmkjZC04bu+h3UVXPZ1gbKtgYkRAdiopg+o3cZvNMp3nZmBDIA9jZ5/Rga/VgwM1rRGiKYecHDAGxd9fM+d1qlkJp/Pok551Cy712aqvYFY4pDxof/qWH1c9I2JgC8Z4FvyEgTTNNMr9vPd6bs6vxZrVUQFq0mZ3oIU8+NYM5FkZ1S8nmzQ/ndOxP4802HsTSPnizxhPmjL5hRKbSd5WRAl3KyRlsRIVHzAIgLzZMUzABkRy8kJiQLi7MOj89BlCEdQVCgVYWQHjGTCEMqKoUGs6MGv+gjwpCCgIBBE0FS2CQq2/Z2OZ7X5yLckNwlkHF522l3NeP1u1AptITq4lArA8I7GqWB6UlXs6XsBewec6/zdHpsnVmO/gjVxnUGZ37Ri0jv186cmMVkRc3v/FlExOqsx+mxoVSoCdFGo1MFhIViQ3KYm3YbOytX4vL2rwQaookmP255ZyDj8TmxOuvx+l1oVEbCdAmd71OUMZ1JCZewr+b9Xo9nbfPxi7tP+sMJAiy7wsQv/xnPeZeaWPdJO5vWjk67hZHm07etvPVcW+fPU+bo+emfY5m/1Mj/PpXAQ3fUDElmSyo+r8jXz1dw5S9y+hx36U+y8XpENv63aphm1jMKpcCKX+ay6Ob+fdGc7V62vhN8X0NjnBFrRffWElEM9NAMFUO2apYbyAgCpE+PlDy+dOeZE8w4bPIWA75hapga4yR6UyymiFQaK3f3PziIRMTno1RqCI/NHfXBjNcj4hyAT8sYA2coTTM9Lj/NNS6aa1xs+7iFDx7Xce/fs8ieGjBYi0/Xcd8j2fz9ziOnq5qPCOExapKyh85UdaDEhmR3Ln4DC25r53ON7cfJPBHMhORQ2E+p2QlSwqdytPFrylsDkvHxpjymJl0JQHrUHAQEDtR+SJ014MWVHjmrs6QtxpjVLZgRESlv3Ulq+HSqLQdptBV1C1IEQUF6xCzGxZ4LBDxy0qPmcLh+ba/zdHptHG/a2O/vo1OZmJd+e+fPh+o+7fV9iDON6xLI1FgOcaxxHW5f1wqHaGMGE+MvQqcOxaiJZGrSleysXNnv+xuqiyNUF4fP7+FI45fUmA922RzQqIxMTriUaGPGN/PJJUyXgMUpbSNHFOGLVTYmztBzxS1hLFhmHAtmJHJgh4MfXlvNC5+lMmuxgQuuCmXNe9b+XziEbHmrmvPuSeszO6NQClz1cC5pk0J567dHcTuH/z4Zlaznhj/lkzNHWlLgi6fLh6TXx1ZtJWp8DNaqrn+31HPTaC0aunV70MKkhd+fQNKU/tNavWEI18gyDzTXDs6xdDjRyPCZAc5KD4bRTkLmAtLGXzjs522rP4LP66K1tnDYzz3GmUGbv4FyTyFFnr14RQ/F7gMc9+zt8d9gqC938rfbjlC49eSu2oR5oVxwe9/SnsPF1HOlZ+6Hk1NVzE5v8jc7ajuzBWqlnshvfGj6w+1zUNF6MotWbzvaGSQJCLQ5qjsDGYAq84HOBXmItuf7cFXbPjaXPU95684esy2i6KesdQfV5gOdj0Ub0iXNty8UgoppyVcFelKA0pZt1FkP9zhWEBTkx530DKuxHOJQ3epugQxAc0cZOypf7ywBi9An91g21hv7az6g+pT37QRubwf7aj7ocs44k3R7hRMcPRgoe4uO77pnnJqlYX1ZDjfdH/g8X3ZjGC98msraI9l8vD+Lx99OJiO368I5LELJ+rKcLv/+753ed9+VSoH1ZTmsuC2c5Vea+HBvJu9sy2DxRSGoVAK/fCSOzwqzeOajFNJzuy/SjSEK7v5pFK9+mcYXx7L55EAW/3glienzDbLfB7lY2ny8+njAjPLqO8O7PBcRpeTG70bw+NvJfLw/i6+Ks/loXyb/ej2JxRd2d7lXqQTe35nJ1yU5xCb0vHevUNLnGI/Tz/t/PiZp7jMui+dXa+ex+NYU1Nqhy0KciiFMzcUPZPLzj+dIDmSaKx2sf3VoskiHXjrA3F/MZ9r3ZgCQfWkOi/+0hCn3TOPQiwf6efXACVpmZsZNOZRvbxjw6+W6fdvNo6f0oT+Mkb1H9D0xEJfyMQZHeGzfaeShovLI51Qe+XxEzj3aMIapmHtJFPlzQknNN2CKUKEPUeJ2+Wlv89JY5aLsUAdHdlg5vM0iSXXL/02G2GBSsuDKGGaeH0Fcmo7QKDVuh5+WehdFu2x8/WYjVcfk9bZlTQlhzsVRjJ8XSkScBn2Iknazl8ZKJwfWm9m8qpm2huBKfg+1aabb6efpB0v46+rJhIQHbg8X35PIl681SHq/g/WehMeombggjNR8Ayl5RlLzAp+HE4RFq3m1aE6fx7h70i48rqFNKSkVaqJDMjt/PtEvcyqN7cdJCZ8GBDIsUvpQLI7abotsq6sBnTogsNPSUdblOZ/fjdvbgVYVgkbVfVEH9FqaeDq11gKSw6cAdJ5vMExMuIgwXQIQeC/6yuTEm/I6y8f8opejjX37Kjk8FkpbtpEbswSAjKi5VJn39zunpvaSPkv+fH43DbZjnX83kzam32OeTmh4YBPTbuv5MxgVq+IHv4nhilvCOLTLQUVxO0npaiZO19Pa1HUNYG/38+cf1xMWoSQ1W8PlN0krt5y/1EhajobD+5zMOcfIw/+M4+M3rEyaqefQLiezzzHwuycSuPOCii7z+vcbSaRkaqip8LDtqw7CopRMm69n5iIDj/66kY9WDq3n1PrP2vnJn2PJHq8lNFyJ1Rx4P668LZzbH4ik3eqn9JiLlkYfSWlqps83MH2+gb/+tIG175/MCHi9IqvfsnDrDyK5+PowXv5398zAjAUGImOU7Npop7Gu543k/WsaOXRpE5OW9v85CIvVctXDuSy7N53dH9VzeH0zpXvNQe1NUaoVZM0IZ+bl8Uy9MBaNXvqGud8n8savDg+ZsXbZ56W4rC6m3D0Nj93DlO9Mo+14K+sf+orqLUNXhhfEMjMRe2vvTXL9IT+YOXN8QeJy5ZmGWhqCZ2A0Rv9oDRHoQ2JwO8ZMAUcCpUpgxQ+TOP/2eHQ9aPrrDEp0BiXRSVrGzw3lku8k8OF/anjvsf5VjJwdfsbNNHH/I9lEJnTdVFCplRhCDaTkGlh6cxyrn6vj7Ucq+y2pCo1Sc+cfM5ixvPsuWHiMmvAYNbkzTFz+vSQ+erKGT56tDVrd93CYZlqaPHz2Qh3X/jSgwBgeo2buJVFsXtW7n1ew35NZF0Ry62/TB/urDDkxxiyUQuA26vRYsTq7b+g12E4GM3GmXA7Xr+03sHB4u5fWuH0nqxE63G3dnvf63Wihcz4Dxe45eR1UCMpBGX5mRs0lMXQCAO2uJg7Wftzn736itAugqb1UUlN/rfVwZzBjUIdj1ER1Kr71Rm+ZoVPpcLd2/v+JXiKpCAIsPN8IQMHenn+Hcy8x0WHzcevSCuqrT27ORsepsLR1fb89HpEvVgVEQLLHayUHMzMXGbjzggrKj7v5wW9juObOcJZdYeLWpeW0W/088lpS52L+RAD14N9iScnU8Np/WnnxXy34v7ke5k7S8sTbKTzwhxh2b7ZTWzl0G8rWNh/NDV6i41SkZmso2B347H/wipmSIy62fdWB55TNleu/E8H9D0dzw3cjugQzAB+vtHDz/ZFcfF0orz7Rgv+0j/L5KwIB+6dv933/f/PXR0jMDSEqRdpnITRaw3l3pXLeXak4bF5K95hpLLPTVBH41x8KpYDGoMRgUhEWryMySUdibghJ+SYyp4fJCmBO5fOny4OuYHY6tdtrqN0ekA0fSP/8QAhaMHPsyxrS58TRWjYw1Z3ejIl6RZBuxDnSyOkFsjW5cLUHt8wsPDaXhKyFmCJTUal0eFzt/7+9846Pqzrz/vdO7xppRqPeLMtyr9jYFGNTAhhCMZAlCcnuks06AZIXyCfZ7LskeTfs8iabTxICLyHBJIEUegkEG1NtsI27cZGbitXLqI6m93n/GGuk8ajMSKPicL9/STPnzjn3zNx7z3Oe5/k99HfX0VK9A7c9Pg54+TXfQ63LpvrgcyPmcEikMlZt+BFSmYrjHz+BvadhQn0OsGrDDwmHghx85xFkcjVF867BlLcQuUpPKODF1d9GQ9VbuPoHj1921XfQGHKpOfQCnU2HRhivnFUbfhg3Xq2xgILZa9Fm5KPWR6UXFeoMLr31ZwnH73nz3wmHzv9OIkSIkFN6Mbmlq1HrsxEECR5nF51Nh2iv2zVi7PbSKx9AmxFfGLbxxFZaqrcP235AdKCnvYrTe/9IbunF5JRenFKfUpmKwsorMeUtQKnJQiId/tI/uuNXOPumrnaTNkPG/U/OofKi4Q3+oD+cUOcmEoGdrydXKNeUr+CL3y+OGUlRb4yfcChCdqEyTtHrhq/n4XGGePPJkWs3ZBcq+d4f5pJTMqiwFAlDT7sPjyuEIUtOhjm6MaNUS7jjO0UUVKjZ/G9nZ6TU8Uh8/GoXG+8vRHpOEGDxFcYRjZnJmJP2Bi/7tsYvSPPL1RRVRsNcAr4whz9IXNAPJd0qPcORa0hUMTufXndjLMleIdWQqSmm1904bNsBAqHEMOqh1/ZwYVdD3x9LBno0IgmGy/ietdm6ciqyrwCi53Oo5VWC4dE3IQc8OEDSOSregB1/0IVCFjUejOqCMY2Zfm/HmJ8bCg/e84dTgBsOlVqgZLaSO75mZNFFUQ/LlheHXyRnZUv58bfb4wwZgG5r+p7/1tYADTXROT+6z8Pt/2zkwE43Tnv0t1F70seKSzWYc2X0doUorVCwer2WloYAv//loCEDUH3cx9sv27nlKxlcf4eB3/18cvOW7bYQ5hwZhozBe7StN8TH2xLzj175vY1//TcTxeWJm+Kd7UH2bHdx6dVaVl2hZe+Hg7LPao2Ey6/VYe8Lseu90eWgXbYAm+85ygMvrESpTW29qtbLWLDOzIJ1ybWXKST8ourKlPpIhhPbu3n3yfqxG6aRqTBkII3GzO4nT3LT/6xGa1bRdryH4HkJUI37Rq8JEPCmduPVZspx9ozfEzRVSKQC86/KSbp9V316EwVLF95AQcU6IILfY8ft7kCpzSK7aDnmgiWcOfgcPa3HYu07Gw9SsuB6sotWjGjMZOUtQCpT4XF2D2vIpNrnUBQqAwqVnkVr70GpycLj6CLo6ESlM2O0zCEYiH/Id9TvYdaSW8ktWz2iMWPKW5gwXplMhUQqx+PsIuB3kWEuJxwK0Gc9nXB8ZJgt5FDQz6zFt5A36xICPhceRxdKTQbajHzKFuWjzcin5tALw46nrfZj1Poc5AoNxpxKlGrjsO3OR6PPoXzpreSWrUmpT6lcxZIrvoVabzln+BxEkEjItFSiUGdAJEL72d14XN14nVMnrCFI4N5fzo4zZBy9Ad551sqRHX20n/US8IWRygQsxaqo6tY6IzKFhM6m5LyXX/lBKTK5QFeLj+d/0sSR7X2xcCmZXODSW8zc9VApSnX0gXnLvflsf7ETR2/irqNMIeF/PTEntmgP+sO8+Zs2Pnguvn1+uZpb7itg9Q3R3IVLbjLT0+7n5Z9PrtLNGtWN7PG+lZbP6u8O0FrtoXhe1HiYs2J4Y3Oy5qRqVz9Vu+IXgTduyo8ZM25HaNoLskoFGdnaQenk4swVFGeuGPO4XH3lmMZMODz6gna8nhIAncKEWTcLnTIbjTwThVSNTKpEKsijnhjJxJcFWoWJJfk3ISAQiYT5tPV1PKOoog0wYJAASSmTDeANOmPHKmVj53Wk8tljYc6VsaM+MUy5rTHAD77ZjmuEMDOXM8yRvZOb+9vTOfg7cdqjf1tbB69Lryd6L1Scy+8YyIk5sted4MEAOHsmuuaqWKCclPEORXKuTEcyqpihULROjTlHhlQqJGySvPFnG5dereXzX8yIM2bWXqdDpRbY8qKDgH/sfjpqXfx20xE2/XZpygbNdHP2kI1nHjw+6Zs8Szctp3VPC13HprYOWNqMmW9s2wBA/uLhvRA/W/rKqMenmvRuKddhrZ35CiFLbsjHYEn+wq8/OPpuYypYildQULEOr7uXM/v/jLMvunAQBAkFFVdQsmADc1bcyeG+ZnzuaL+dzYcomX8dRksFCpUevzfR02Ypij6wh1P+Gk+fQxEkUuav+RouWxvHPvo1AV+0f4lUhjF7Dj63La59Z9MhShZsQJ9VisaQg9ueGOaRXbw8Ybz93XX0d0e1+g2mMhatvYeg383pfX8cfVLPIZUpyS1bTd2R1+io3wtEAIH82ZdTtujzWIpX0Frz0bBeqKFGV+XKu1AWGpPqU63LRqU1pdxnfvllqPUW7N1nqdr9FJFzTympVMGSK+9Hrcumv6d+RANzsrjqizksvGwwXOLMAQeP3lOdUNskFIzQftZD+1kPH7+SWs6ITC7Q2eTlx/9wEntPvIESDET46OUu3I4Q33osuhiRKSSsvsHEe39K3Ln9/Kb82OI+EoZf3VvD0Y9sCe3a6jz8+oFault83Lgp6oG78ev5HHqvj7PHJu+epZOkV7b4bJUzdr5ZuQr0mTIcffHfzUyfk8nErJuFVJJaeDREBQNOWd8bNdxqNNniaIPUFyRZmmIqLevjvB+TgVyqYkXh7cgk0efeSet79LqTq8EhGzKfYxXUHEooMnhtyySqUVomtp8oQ+vM+H0RuqxBju33sPs916gL8fM9MpOBb8gm8cBPxu+LJLw24Huz5EeXhDfemcGNd458P9FnTP5C3mg6pxDYF38trLpCw7oNembPU5KVLUWtlaBQCcjlI3sQD3wcDYtbs16LOVdGd0f0t/W5jdFNmq0vJa+YdvaQjV/ffZhNm5ehMVwYZTTOHrLx1DePpuw0GA/z7lxA+/70Sz6PRdq+iccuf2NCx/e1prZDUb7azPF3xnYVTycKjZSr70stsbxmd5oSfAWBonmfA6D28EsxowKi4Qgt1dvJzJ2HwVRGbtkaGk9E61P4Pf3YumowWuZgLlxGW218sqZcqcWYUwmRCF3ne0LG2edwYz9z4C9xYRLhUJDejsQ451DQR1fzp+SWrSa3dDVnj8X/DuVKPUbLnOHHO0E66vfSUb9nyCsR2mo/JqdkJRpDLhnZs0YMqZvKPg3maIJyZ9PBmCEDEAr56W49SlHl1WSYZo1pzNx2fyG33T+2fj2A0xbknlUjz7dEKrDhXwYXVb0dfn75zTO47ekXv3j2PxsSDJmhHNjWS2ezD0tRdPE1e5mO9/4U30aulHD1XYMe1o9e7Rx20T6UVx9tYfnVmeSXqxEk0YX/r+6tTmnsmZIcwoToD0dDvLKlw8+/gICQPnFKAHpa40OCdJnyOGNmuuZkpjC0UGYw7BszhEop0yEgoJRpMWoK6XNPXU2KQuMSFuReh3Bu2Rohgs3TSr+nHXfARiDkIRj2EQ4HkUmVLCvYOK5+BASW5N+MRhHNnWrqO0yzLXnJ+WDYj+JcCKwkhdwfqTBoBAXDU5tzen6dmWQJTYWGUYo270D0fs0JH3WnR458aWuc3MHnFMgwZkkJhSI01ETHIZHADx/PY90GHY7+MPt2uNj1nh9HfxiPK8y3fpSNVj/8PTASiebObPq+mQ13GPjj472Yc2QsW6Oh+riPulOpRfk0HrPzizv2c/dji8mvHF5wY6bw6dtW/vL9kwT9U6SvHwFv39SrDafNmPGlWEsl4XhXELvViyFn7F0VgEXX5bLlp6cITIOed7Lc/NACMguSTxx09vppOZ6eJHStIQ+VJotgwEN/1/CqLY7eRgymMgxZJXGvdzYexGiZg6V4RYIxYy5chiBIsHXW4PPY0tbnUKwN+1OK9+6o30Nu2Wqyi1fQcGJLXH5LdtHI450oXc3DS+G67O1oDLkolKkJP0xWn8K5eO/wMHEDMS+NLDXFvYkyZ4Uec8Ggx/Jvv22bFEOmq8XH8Z1jX1O1nzpixkxWbuJcLL48I05N6/0/j63cGApF2P5CJ1/+j+hvfflVmWgzZAmep9FYqLwUgJ2eaNG+Zcr1SR87UdyO+O9jQN1sgOmak5mARJDGCkACHG17ky7n6FXZlxfehkUX3dzK1VdOmTGjlmcwP+dzMUOm193E8fYteALDXxdq+fg9fJWWK2NJ/L3uRk51vp/S8b6gE4U06ukbUDVLBpV8sK0vmJoqocggXec8FqeOePnFQ1MbJjSUgaT8qoPeWCjc2ut0rNugo60xwD0bm7H1xt+fvvV/Rlca2/qSnbsfNHH9HQb+9P96ufLzeiQS2Pry+NZc3U0eHr3zIBv/Yw4X35Y/49K4g/4wb/2yjo+ebZrSwqON2xvIW1lAf8PUCiqlzZjJW5hFe1XviO9LFRLUGUqcXSNbbE3HbCy8JrmaBmqDnMv+sZTtvx39ATJdfO7+OSy7uSClYw6+0py2eEaNITqPMrmaS2/9n1HbypTauP972o8TDHjQZuSjMeTitg96wCxFiSFb6ehzKB5najdRV38bjt4G9FmlmAuWxIVxWYpHDombKB7H8OMMD2y5CenXmR9Pn47eRjLMszAXLI4zhgRBQlZeVGnI3jt6DH+6GZonE4nA3rcmJ1fn5J7kwgccvYOLaY0+MYSicuXgeO09AZpOJbdgOrazny+f+1uQRM97rMT1oez2vBFbhA7wgfv5hBAliSDhSvWdSX9uMpwfkiBXxI9juuZkJmDSlsXCqIJhf1Jyy1ZHdcyYiYaapbbQHy+5hnmxBPZg2MfhlldjtVmGI1XlrgEKMhZRmrUSAHfAxqetr6csQmDztKFXRgVZMtT5Y7SOopZnxAwggH7v1Ie4/L1waFf0Gl5+qQaZTEgqXyXdFM1SxGrwvPx7W+z18nnR623nu84EQ6agRI5WN/rztr8vxI6tTq65Rc/CFWqu/LwOvy/C+2+MT7QKwO8N8cIPTnHgjXa+8J9zyZk18rpmKmk6buf5/zhFe83Uh/Aefeowax9Zj9qspquqi5AvfqNqskLQ0mbM3PHk5Wy+8W1M5QZ66x24+wZvlnOuKuCGR1YhU0qxnuzjlft2DSvjXLOrO2ljBmD9ptlU7+qm9cTMkdSVKSTc/MMFrLg1uXCcAcKhCPtfTt9OnUwe9XCFgr449a/hOD93JRwK0t16lNzS1ViKV9BQtQWI5mzoMosIBb30tB1Pa5/n958q7Wf3oM8qJad0UAhAY8hFm5E/4ngnSig49QIU4+mzrfZjsouWkZW3gCXrvo2tqxZBEMjMmYfGkIOjrykpY++NJ1rZsjnZKtijPwQHErkBrI3eSduZb61Nzt0dHqK4MpB4OpTCisHxttYk70K3NnoJBiLIzsVzF83VpLRwD3OeRGvET4jEuQpHQgltJ4r6PKPOdZ7nbLrmZCaQO6RQZpezLqmE/E5nLREiCAioZHqM6gJsnpGV89KFZoinpd/bMaohAyRd2HMoRnU+C3KjRYeDYT+HW15JSlb5fDqdtRQZlwJRmWaFVB0nST0ceYb5sb+9ATtOX3JKhyKJ1Ff72f2ei0uv0fKtH2Xz6//uwucdvDfK5QKr1mk4us8TU0RLFzKZwPobddz3w2zUGgkfvuVg17uDi/HOtuh9r6Q83nOu1Uv4zn9bkurjjb/0c80teq673UDlIhUf/s2RlvOoO2jjpzftY+XNuVyzqQxz8fg2BCZKT7OHLY/W8enb1in1xgzltjf/AYDshcN/J3+8+PeT0m/ajBmlXs433r0BmVJK0Bfirw/uoX53dEd/7bcXsuepU5zd2c7V/3s5l35zAe/9d2K4zMkPrdz00Hyk8uR2tGVKCf/4m4v4w7/sp/3M+K3rdFG8NJONDy/EMiv1GMoDLzdja0tfnGEoGI3f9nv6Of7xEykf39l4kNzS1WQXLqPhxFaIRGKJ9N0tRwc9AWnscyL0tB4jsPgmDKZSNPoc3A5rzCsz0ng/KwR8To7teJxFV9yLLrMQrbGASDiM19VD06l3aa3ZEZdLMxLBQARvmgq66oaEJ6W7sORQ3Pb0GEnaISFWTlvynxkORXDbgxhM0Zj+oWFZ42G758UR32sIjF07IxXO91Cdb3DOlDmZagRBEvOwAHQ6k8v5CYQ89LmbY8ZCrr5ySoyZoRLDyhEKag59f1bW6MVIz0cl07OsYCMSQUqECEfb3hy3QdHlrMXp60anNCMRpMzNuZpjbX8bsb1ansEs0+rY/w196ffAzwQuuUpLplmGziChsCx63eQUyvnKfVm4HGHczjDVVb6Y2thE+On3rPzsj/ncfFcGa6/TUXvSh8sZxpwjo2yOAq1ewp2XN6TFCNjwBQPLL1Gjz5Ayq1KBShNd+219yc4vzwtz2/mOk7u/Y2L1lVp+9WIhNSd8ZJmlrLhMQ0t9gGMHPCxeOboRUXXQQ91pH5/bqEcQYEsKif9jEQ5F2PdaOwfe6GDhejMXb8xn3loTEunkx5/V7O1j53MtVH3YNSWS9KPxwtV/npZ+0/oU2f7zY5zc0kTF+nzWfnthzJgxFuk4/W4LtmYnOx+v4vqHLxr2eFevn+PvdLD0xuTcywC6LAWb/rKGLT85xcFXm6fFGi1clMH6TbOZtz653YHz8dgDvPd4epNg3Y7o3Ku0JqRSBaFQagtGR28jHmcXal02GeZy+rtqMRdEq0KPtIs/0T4nQjgcpLPxAAUV67CUrKShagvmgqXA5ISYXWjklV+GSpPF6f1/mnLVsuFQ6wYXyj735CUm+tOk3jLwkB3PZw5tP/S8001t4EhaPy+/fHBhEA5FEkQULoQ5mQxMmhLk0qgXOhwJjZkrM5ROZ03MmMnRV3K688NJGeNQhtZr0SlMFGQsorU/0VOdpSlmYd6GOHnksZAIMpYVbowZSTVdH9HlnJhk9gnrO6wq+iKCIIkV3Dzd+SH+YHwdEJO2lIW518fC/Ry+Lpr7hs8pvNB58L8smHPjl2vZuTK+9h1T7P8XN/fx5CMTN2bsthD33d7CTV/K4Kqb9CxYoUIuF+jtCnH8oIed77joSVMtnJLZCkpmK3A5w1jbghzd72Hri3ZOH0v06tl6Q9x/Zwtf/66JBcvVzF+qoqsjyNaX7Dz7WC93/mvmmMYMwJt/6eeBhy10tAT49JP051eFQxGOvd/Fsfe70GUpWLDOROUlJuasyUSXlZ7c1IAvTP1hG1UfdlP1YRe9bTOn0LrfMT0F7dNmzIQCYY6+cpZIOMKJtxpZ/90lsfcEiUDIH93R7am3o7eM/IP7aHMdi6/PS8maVail3PqfC1l5exE7nqrj1I7OSS/UYyrWMG99DstuLiCvcmKJ3m8+fAK3Lb2eA6etFZ+7D6UmE0vpKtrrdqX8GQM1Z8yFSwj4nKh12SPWlklXnxOho34vBRVXkF24lJ624yg1xlHHO8CA10aqUBMVqbxwihsmg0Qqp2D2Wtz2jhlhyEC0eOUACnX6c4vSjcc1/vEOLczpcc5cwZLzmbV4cBe/6bQ7wWD5LM4JxKuY9bgaxlQxG4rVUc1cy1VA1KuQocpLujjkeLE6zuAJ2FDLjQAsyruB4szl2L1WgiEvCpkGo7oArSK6MK7v2Uu2rhydcvSEaoB5OVfHpJ4DIS9SiYKK7LVJjavDfhqHLzEHsM/dzEnru8zPvRYBgXzDAvIM87F7O/AGHEgkMvQKMyq5IXaMN+jgSOvrhFKQc54oXR1B1pUNXyh1NJrq/EkfV265jDzjQm5f85uU+giFIgl9HNnrSXjtmUd7eObRxHzFgD/Cq8/YePUZW0r9JsuTj3Tz5COje+8Gzn1X9eC5N9b6eWjT8NfLSOcyEttesU/65rez18++19rZ91p0zFkFKvIrdeRX6jEVqsmwKMjIUaIxyJGrJMiUEqRSgaA/QsAbwu8N4+jxY2v30tfupaPORcsJB23Vzmn3wMw00mbMuLq9ZJbo6K13YMjVoNTJKbooG2dX1GKUKaK7b4JEIOgbeRfPWutk/0vNrP5i6nG7hYsyuOvx5Ti6fFS910HtJ900HbHh6puYpajSy7GUa8mdo6d4aSYlyzIxFY9dmCsZ9jzXyNGtk/Awi0RoOLGFypV3UbpgA6GAh87mw3H1CTSGXLKLltFetxu/N9HdOlBzJit3Pn53NC9pVC9HGvqcCF5XD33WajJzKimouGLs8Z7D4+wiEg4hlSrILb2Yjoa9aR3XdCMIEgRBglJtRJ9VgrOvedzVwdPF0LCkgerwMxln3+BmgyEr+fFKpEJcLYJUwrEALlXdnFL73d6JSeQPUDxPgyl/cBex5nBiGO90zcl0IiBg0c+J/W9NMsRsAE+gH4evM5bknquvnHRjJhwJcajlVS4q+kJMISxDlZdQbyZChNruXdR170YmVSVlzGSoBnNc5VIV5aZLkh6Xy9czrDED0Gw7gi/oYkHutTFJ6+HGDFHVtGNtb+ENTn+o+d8jcqmKcCREKHzhh2oLAtzyFSOBQIQtL6Z3/ZEMva1eelu9VH34d5zXJUD5DRXMvX0e+iIDRMDebKf61VPUbqmZtL3itBkzx16r58vPrqfjRB+WuUbOvNvCtT9aQWahju46O4tuLWXP5tMsurmU7rrRf0Tv/PIMs9eYMJeOTxlCn61kzZdKWPOlqPynvdNHT6MLW5sHV58fjz1AwBsmFAwjCCCRRa1huVqKSidDpZejzVRgyFFiyFGhzZwc2drTOzrZ+tNTk/LZEM0VUaozKV2wgYoVd1K26Ca8rh6kMiUKdQZSWdQ9b204MOzxQ2vO5JatTqpWy0T7nCgd9XvIzKnElL8w6doyoaCP9vpPyC+/nPJlt1Ew5woCfjcymQqpXMWBtx9O2/hMeQvRGvORylXIZCr0puhv1Fy4DJXOTCjgJRjw4uhtwNaZ+q7fcISCPtrqdpI/ey2Lr7gv7r2Az4nH2UVbzcf0tFelpb9kaDvrYQVRxZq8MhUqjTRt+TiTQcNJN4vXGgEoqEg+uTO3VBVLdAdoPp1aWEN7KF7iXIqMEvk8ekIduMI2woTRSjIwSfI4HUjfNXXNXfFCLAffS0zQn645mU6yNMUozql9RYjQ6Uj9GrU6qmPGTI5hLme6dqRziMPi9HWxu/53FBmXYdFVoFOakApygmEf3qCDHlcjrf3HcPiidc5sntZYIv500emsoedsAwUZi7DoKtArs5FL1YQjQXxBJ73uZjrsp+hxT60S42eNefnX0tF/mk77mekeyoS5/W4jZXMUbHmxPyZDLZJelvzLMhZ+dTEN757l7LY6BAEy55i4+N8uQZev58hTkxMKmjZjZs/mU/S3uchfYqJ2RxtHX4k+hA35WlzdXr78x/VcfPdcgr4Qr/+vT0b9LJ8ryHMPfMqmP69GqZ34EA0WJQaLcuyGU8jJD6w8/+CnhCZZ+rC1Zge2zmryyy/DkF2OJiOPSCiI39OPq7+Nnrbj+DwjKwlZGw9gtMxBoc5IulbLRPucCH0dp/C5bSg1RmxdydeWaTj+Fn5PP5bilah0JhRqIwGfE0dvcpWrk8VSclFMDnko2ow8tBmDu44d9XvTZsxk5c7DYC4nHAridXURDETjqgVBQK7URev+mMo4e+yNKQsNPHPAwec3Rf+WSAUuujaTXa/P3N2qMwfs8I1oLp/OKKN0oZaGKtcYR8GiyweVpCIRqD6cmlTm2UB8bsMS5Vqq/YdpCp6Oe71QVoFJkkcbE5eqr1iu5/KN5tj/jSddnNqbuAE11XMyNHR4KpJqh6PH3ci20z+Z0GfUdu+itjvxOmvtPz5sLssAJzq2caJj24jv76p/etR+AyEvZ3v2cLZnz6jtkhnLAJ80PDNmm4kQCgdo6jtM0wRzYexea8rfW7Pt05QKfk4G50uwTzUCAiZdGR39p8dunGbSde4PPRrdmMkvljN/mQpra5Df/nRySgGIQOVt89j300+ofSt+/WI91M6Kb62c+cYMwMktTZzcEr/4szVHH1R/+tIHZFdk0N/qwtM/dthXR7WDZ79xkH96aiUK9YWVIDoWu56tZ9vPz0xZzKOrv42awy+N69juliN0txyZkj73b/1xyv2cTyQSJnJOJjWVxP9IJExrzUe01nw0ajufu4/dr3931Da1h1+m9vDLw753au8zSY8pHX0aLXOYt+afcfa1cvCdRwj4EkMxzAWLqVz1FQor1k2ZMXNqnx17TyCmaHXTNwvYv603LpdmJnHyEzs9bf5Y6NXVX87h6X8fvjDsAFKpwPp/GBQFOb7ThqN3YqEaZmkBtYGjCa/3ha1UKi6CCeZe5pSouOcXs+OMhb8+Mbzi1lTPydDcGp1RhkItmbG/F5HPDpdW/CtW+2lqrYMFpmfnrCXHMJfdNU/F2jR07yVLV4rFUEkkEqLbUcfJtm0EQ76444qyliOVKOhy1OL2JdbuyzMuYFb2pWiUWXj9/bT0fUpD976YHL5MquKq+d/ho9OPR8eRMRcQaOzeT6118PlWbFpJsWkFaoWRYMiHw2vlVNs7uHzRhf6qWV/FoM5BKlGwrOT22HFnO3dTY90BgEaZxWzL5WRqi1HItPgCDlp6P+Vs1+CGdTrPfTwUzZJTMluJxxXmw7cc/OaRbux9MzcK4EJHppbReTwxfLTzeCdS1eQpV06ZJmYoEKbjZGq78Q2H+/jd1/Zz12PL0ZtnlmdlPLhtAV774XFOfjB2pWyR8aHPLEalNU1abZkLjdyy1YBAS832YQ0ZgJ72EwAo1BnRoOIpkAQM+MK8+0crtz8QrceUW6ri3l/O5okHapNaoEqlAqEpTIAMhSJs/V07X/lBNCzw8o3ZHH6/b9T6KLc9UBinCLbl6YnnRoQiQYySbFzh+NpaGZLspGqdjIQgwEXXZnH3w2VoMwYfC9tf6OTQMCFmMPVzYm0YVOwRBFi6zsj+t9Oz4BERmWzm5V9HQ/c+9tX+AZXCwKLCmym3XMaZ9g8AKMhcTFn2JZxsfRubuwWzbhYVuVfiDQxe62b9LOYXbOBk61b6Pe1oFSYWFt6AIEg527k7rr8lxRtpt1VR37UHhUwblyeZpS2mMu8qjjS9itPbhVKmJUtXii8w+Iw41PA8EkHGlfMf5Fjz63Taoyp1kSH3mVDIjzfg4FjzX/EFnGRqi1hQcCN2r5Vux6CXOB3nPl423ZS++n0iY9Oys5ncZbnYG+O/u7yV+bTsmrzvYsYL/DcftfHEFz7hzp8tpXRF5nQPZ1xEwhEOvNLCO4+ewdN/4SfRzWTyZl8GQGfjoc90bZkB5Mpowm94FJlstS66Ux7wOUc1ZGRyAZUmeS9pMBgh6B/ZMNn6dBvLr85k1qJobtyyKzP5ydbFvP37Do7vtNHV7CMUiiBIwJSnpGC2msqL9Cy7MpPXHm/hwLapXci+/5cOVlyTyfzVBgQB7nusgr/9po0PnrPGyRbnlam4+d4CLrlpMFTrg+esw4ZqpUpzsJp5ilVkSiw4wn1EiKCXZJEnK6UxkHz+nSABrUFG3iw181bpWX2jmcI58XkvJ/fa+dN/jZ6PMJVzUnPEidsRitW/ueuhUtyOEFW74h+aggAGk5z+bvH6F5k52D3tMc+I09dNe/8JjJrB4tpFphV02E7Q2hf1vLp8PZj0s9AoBtc95ZbLaeo5SLstugHl9vXS3HuYoqzlCcZMr7OBpp6Dsc8ailSiACL4Ak48fhsevw2bO94DGwoHiAiRc3+HCA2j2ucLOqnuGJQXd/v7KDGvwqDOjTNm0nHuIhcGrXtbWPXgavJXF2CrtyGRScgoM5J3UT6nXjjBon9egiAMev6P/f5IWvqd8cYMgN3qZfM/7uXiO4u59v5KlLoLYtiEQxGq3ulgx+Y6OqpFpZXJJrtoGdmFSwmHArTUbJ/u4cwIXP1tGEyl5Jevxd7dQCgYr0evMxZQseKLAGOGE958bwE331uQdN/7tvbwxP0j15wIBiI8dm8133m6kqI5UXVAc4Hy3E5/dLc/4AsjV84M6eZIGJ64v5bvPl1J6UItMrnArd8q4JZ7C+hp9+FxhtBnyTFmxyt7Hdlh47n/m57cq7rAUTwRJ0WySizSqOKjO2LnlH8/bcHR82VkCgmbj64EotLIwihpJx88Z+XPDzeO6f2ayjnxe8Js3dzG7Q8WAWDMlvO938/FbQ/R3eZDIhHQZkgxmOR4nCHuWTW2+IeIyFTR74n3QgZD3liNHACtwhQzUgZwerviFvQ6lQWjppBZ2YmqcYIgifO+jFaQtdtRR0vvUVaX/xP9nnZa+47Q1ldFOEVpa6lEQan5YiyGClTyDARBQCZRIRXi7/vpOHeRC4NFX12Mp9uNcVYmxlmD35+700XJlaUJ7T9TxgxEN4z3Pt/E0S3tXPZPZVzy5ZIZa9TYrV6Obm1n7/ON9LV6pns4f9fMX/M15EotMqUWlSYLgLPH3sDvmbh7+u+BljMfkJU3H6OlgpXXP4TL1kog4EYqVaDWZaPURG82/d11NJ4cObl4sujt8PPjO07wxe+XsPb27DiVK2BEQybon57EWEdvgEe+coq7Hirh8o3ZCELUy2EuSAyDDfrDbPtDB6882pLW/Li2YN2YhstIKMeoB3Nyr503nmjl1L7kPSZTOSd/+20bpgJlXN6NxiCl2JAeqXwRkXQQ9XzEM5xnYyyGho4KCEglcmqtH9Hal1gv7Hy5/XB4ZMMkQoRTbduo7/qEgszFlFvWUpZ9Cfvqnk0oTjoai4o+j06ZzYnWLdg97YTCQdbM/lpCu4meu8iFw1+/8Oq09DszrYFR8NgDvPdYNR89HS2uedHGQoqWZI66yzgV9Da7qdndTdW7HZw90DvpRTtFokQIo9KZkUoVuGyttNRsp7slMUH6s4rfa+foh4+SX7GWzJy5aI0FSKUKQuEAfo+d7pajdLcepaetiukqFurzhHnmR/W8+ZtW1txoYt7FBvLL1dEkb5UEvzeMvSdAR4OXmsNODr3fS0v19G0SeF0hnv73s7z7bAeX3Gxm4aUZmPIUKDVSnLYgXc1ejn3cz+43uulunXhF7skg6A/j7A/h7AtibfRycq+dk3v6aa0d37xO1ZxEIvCHH9TzyZvdXHGHhYplOjItCqQKAY8jhKMvSGuNm9pPU1ONExEZL8GwP87LAKBXjV2j53zc/l70KkvcazrVYFhmhAgOjxWtMhtvID01UrwBO3Wdu2jo3sdlc75BvnERDd2DddYiRA0kQRh+E8Ssm011x4f0uaK5EBJBOi5vyljnLiIyFhecMTOA3x3i4KstHHy1Bb1ZyZy12VRcYqZ4iRFjfvI1D8ZDwBui44yDttN2Wqr6qdvbg61N9MBMB6f2/GG6hzDjCfhdNJ54m8YTb6d87N0LJ6ce0HD0tvvZsrmdLZvHnygf8IX56px9KR/3/E+aeP4nqYU9NZ1203Q6vdLd6eb1x1t4/fGWKetvqubkzAEHZw6Iobsi04/N3Uy+cTFdjlq8ATsWwxyMmkI8/tSiA5p7DzMv/zr6XE3Y3K1kaosxacvwBQcN87rOnSwtvh2Xrwur/QwCAjpVNgIS2mzJC97kZMxFJlFi93QQDPvIUOchl6px++PzECORMG5fL/nGhTi9ViJEk/4HxuTx92HWl2G1n0YmUTA754oRDZ+JnruIyGhcsMbMUBzdPg691sKh16IPbV2Wgry5BkwlGkzFWoz5arSZCjSZcjQZcuRKKVK5BOm5kJZQMEI4GCEUCBP0h/E6g3j6/bj7A17pnZcAAAF8SURBVLhtAexWL32tHvraPPS1uOlt8YieFxERERERkc84ddZdKGQ6lhTfikSQ0mmv4WTbNsrMa1L6nNbeo6jlRubkXoVUIqfTXs2p9nfj8mM67dV82vgSsyyXMctyKeFIGLevJ04KORnCkRAl5pWoFZlIBAkefz811h102qsT2h5v+RvzC67jkoqv4w96qLHuoO1cmFtVy1vML7ietZX34g+6aOjaG6eIls5zFxEZDSESSU6HVZjuOC4RERERERERERERkc8MyZgpM0MmSEREREREREREREREJEWSDjNL0oEjIiIiIiIiIiIiIiIyJYieGRERERERERERERGRCxLRmBERERERERERERERuSARjRkRERERERERERERkQsS0ZgREREREREREREREbkgEY0ZEREREREREREREZELEtGYERERERERERERERG5IBGNGRERERERERERERGRCxLRmBERERERERERERERuSARjRkRERERERERERERkQuS/w+QeJKv2EJeywAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X = train_df['verified_reviews'].copy()\n",
        "y = train_df['sentiment'].copy()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:07:50.108795Z",
          "iopub.execute_input": "2023-11-17T06:07:50.109193Z",
          "iopub.status.idle": "2023-11-17T06:07:50.114676Z",
          "shell.execute_reply.started": "2023-11-17T06:07:50.109159Z",
          "shell.execute_reply": "2023-11-17T06:07:50.113382Z"
        },
        "trusted": true,
        "id": "wlyb_kyPrKSW"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "encoding = {1: 0,\n",
        "            2: 1,\n",
        "            3: 2,\n",
        "            4: 3,\n",
        "            5: 4\n",
        "           }\n",
        "labels = ['1', '2', '3', '4', '5']\n",
        "\n",
        "y = train_df['sentiment'].copy()\n",
        "y.replace(encoding, inplace=True)\n",
        "y = to_categorical(y,5)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:07:50.116203Z",
          "iopub.execute_input": "2023-11-17T06:07:50.11655Z",
          "iopub.status.idle": "2023-11-17T06:07:50.127509Z",
          "shell.execute_reply.started": "2023-11-17T06:07:50.116517Z",
          "shell.execute_reply": "2023-11-17T06:07:50.126553Z"
        },
        "trusted": true,
        "id": "csV1svYtrKSW"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, stratify=y, random_state=42,test_size=0.1)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:07:50.128502Z",
          "iopub.execute_input": "2023-11-17T06:07:50.128766Z",
          "iopub.status.idle": "2023-11-17T06:07:50.16449Z",
          "shell.execute_reply.started": "2023-11-17T06:07:50.128746Z",
          "shell.execute_reply": "2023-11-17T06:07:50.163708Z"
        },
        "trusted": true,
        "id": "YV2pFS9TrKSX"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "trusted": true,
        "id": "jGsW83zqrKSX"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from tensorflow.keras.preprocessing.text import Tokenizer\n",
        "from tensorflow.keras.preprocessing.sequence import pad_sequences\n",
        "tokenizer = Tokenizer()\n",
        "tokenizer.fit_on_texts(X_train)\n",
        "X_train = tokenizer.texts_to_sequences(X_train)\n",
        "max_length = max([len(x) for x in X_train])\n",
        "vocab_size = len(tokenizer.word_index)+1 #add 1 to account for unknown word\n",
        "print(\"Vocabulary size: {}\".format(vocab_size))\n",
        "print(\"Max length of sentence: {}\".format(max_length))\n",
        "X_train = pad_sequences(X_train, max_length ,padding='post')"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:07:50.16764Z",
          "iopub.execute_input": "2023-11-17T06:07:50.168213Z",
          "iopub.status.idle": "2023-11-17T06:07:50.31914Z",
          "shell.execute_reply.started": "2023-11-17T06:07:50.168182Z",
          "shell.execute_reply": "2023-11-17T06:07:50.318222Z"
        },
        "trusted": true,
        "id": "BgLZcaZrrKSX",
        "outputId": "35187844-07b3-4f39-a6aa-ffa228315399",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Vocabulary size: 3713\n",
            "Max length of sentence: 555\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from tensorflow.keras.models import Sequential\n",
        "from tensorflow.keras.layers import LSTM,Dense,Dropout\n",
        "from tensorflow.keras.layers import Bidirectional,Embedding,Flatten\n",
        "from tensorflow.keras.callbacks import EarlyStopping,ModelCheckpoint\n",
        "embedding_vector_length=32\n",
        "num_classes = 5\n",
        "model = Sequential()\n",
        "model.add(Embedding(vocab_size,embedding_vector_length,input_length=X_train.shape[1]))\n",
        "model.add(Bidirectional(LSTM(250,return_sequences=True)))\n",
        "model.add(Dropout(0.2))\n",
        "model.add(Flatten())\n",
        "model.add(Dense(128,activation='relu'))\n",
        "model.add(Dropout(0.2))\n",
        "model.add(Dense(64,activation='relu'))\n",
        "model.add(Dense(32,activation='relu'))\n",
        "model.add(Dropout(0.2))\n",
        "model.add(Dense(16,activation='relu'))\n",
        "model.add(Dense(num_classes,activation='softmax'))\n",
        "model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
        "callbacks = [EarlyStopping(monitor='val_loss', patience=5),\n",
        "             ModelCheckpoint('../model/model.h5', save_best_only=True,\n",
        "                             save_weights_only=False)]\n",
        "model.summary()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:07:50.320329Z",
          "iopub.execute_input": "2023-11-17T06:07:50.320608Z",
          "iopub.status.idle": "2023-11-17T06:07:51.805578Z",
          "shell.execute_reply.started": "2023-11-17T06:07:50.320584Z",
          "shell.execute_reply": "2023-11-17T06:07:51.80329Z"
        },
        "trusted": true,
        "id": "AkmPW82yrKSX",
        "outputId": "8ff978b0-4ab7-40a5-a7cf-4bf1a1fdfdc1",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " embedding (Embedding)       (None, 555, 32)           118816    \n",
            "                                                                 \n",
            " bidirectional (Bidirection  (None, 555, 500)          566000    \n",
            " al)                                                             \n",
            "                                                                 \n",
            " dropout (Dropout)           (None, 555, 500)          0         \n",
            "                                                                 \n",
            " flatten (Flatten)           (None, 277500)            0         \n",
            "                                                                 \n",
            " dense (Dense)               (None, 128)               35520128  \n",
            "                                                                 \n",
            " dropout_1 (Dropout)         (None, 128)               0         \n",
            "                                                                 \n",
            " dense_1 (Dense)             (None, 64)                8256      \n",
            "                                                                 \n",
            " dense_2 (Dense)             (None, 32)                2080      \n",
            "                                                                 \n",
            " dropout_2 (Dropout)         (None, 32)                0         \n",
            "                                                                 \n",
            " dense_3 (Dense)             (None, 16)                528       \n",
            "                                                                 \n",
            " dense_4 (Dense)             (None, 5)                 85        \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 36215893 (138.15 MB)\n",
            "Trainable params: 36215893 (138.15 MB)\n",
            "Non-trainable params: 0 (0.00 Byte)\n",
            "_________________________________________________________________\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "history = model.fit(X_train, y_train, validation_split=0.11,\n",
        "                    epochs=15, batch_size=32, verbose=1,\n",
        "                    callbacks=callbacks)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:07:51.806733Z",
          "iopub.execute_input": "2023-11-17T06:07:51.807005Z",
          "iopub.status.idle": "2023-11-17T06:09:05.479644Z",
          "shell.execute_reply.started": "2023-11-17T06:07:51.806968Z",
          "shell.execute_reply": "2023-11-17T06:09:05.478814Z"
        },
        "trusted": true,
        "id": "1hvdAOqnrKSX",
        "outputId": "a339ab5c-5e54-4886-f139-426bd8e84b21",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/15\n",
            "64/64 [==============================] - ETA: 0s - loss: 1.0907 - accuracy: 0.6827"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py:3103: UserWarning: You are saving your model as an HDF5 file via `model.save()`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')`.\n",
            "  saving_api.save_model(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r64/64 [==============================] - 26s 290ms/step - loss: 1.0907 - accuracy: 0.6827 - val_loss: 1.0042 - val_accuracy: 0.6880\n",
            "Epoch 2/15\n",
            "64/64 [==============================] - 12s 194ms/step - loss: 0.8622 - accuracy: 0.7204 - val_loss: 0.8661 - val_accuracy: 0.6920\n",
            "Epoch 3/15\n",
            "64/64 [==============================] - 13s 197ms/step - loss: 0.6499 - accuracy: 0.7496 - val_loss: 0.8338 - val_accuracy: 0.6880\n",
            "Epoch 4/15\n",
            "64/64 [==============================] - 9s 132ms/step - loss: 0.5759 - accuracy: 0.7660 - val_loss: 0.9280 - val_accuracy: 0.6920\n",
            "Epoch 5/15\n",
            "64/64 [==============================] - 9s 135ms/step - loss: 0.5492 - accuracy: 0.7700 - val_loss: 0.9055 - val_accuracy: 0.7040\n",
            "Epoch 6/15\n",
            "64/64 [==============================] - 7s 114ms/step - loss: 0.5007 - accuracy: 0.7967 - val_loss: 1.1784 - val_accuracy: 0.6960\n",
            "Epoch 7/15\n",
            "64/64 [==============================] - 6s 100ms/step - loss: 0.4663 - accuracy: 0.8091 - val_loss: 1.1676 - val_accuracy: 0.6880\n",
            "Epoch 8/15\n",
            "64/64 [==============================] - 7s 111ms/step - loss: 0.4202 - accuracy: 0.8344 - val_loss: 1.1279 - val_accuracy: 0.6600\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "plt.plot(history.history['loss'], label='Training')\n",
        "plt.plot(history.history['val_loss'], label='Validation')\n",
        "plt.legend()\n",
        "plt.title('Training and Validation Loss')\n",
        "plt.figure()\n",
        "\n",
        "plt.plot(history.history['accuracy'],label='Training')\n",
        "plt.plot(history.history['val_accuracy'],label='Validation')\n",
        "plt.legend()\n",
        "plt.title('Training and Validation accuracy')"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:09:05.481044Z",
          "iopub.execute_input": "2023-11-17T06:09:05.481344Z",
          "iopub.status.idle": "2023-11-17T06:09:06.039566Z",
          "shell.execute_reply.started": "2023-11-17T06:09:05.481318Z",
          "shell.execute_reply": "2023-11-17T06:09:06.03864Z"
        },
        "trusted": true,
        "id": "UbVQcvGZrKSX",
        "outputId": "c32fe6a6-2f33-466c-81d9-ee27249f077a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 904
        }
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Training and Validation accuracy')"
            ]
          },
          "metadata": {},
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# X_test_token = tokenizer.texts_to_sequences(X_test)\n",
        "# X_test_token = pad_sequences(X_test_token, max_length ,padding='post')\n",
        "# pred = model.predict(X_test_token)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:09:06.041076Z",
          "iopub.execute_input": "2023-11-17T06:09:06.041467Z",
          "iopub.status.idle": "2023-11-17T06:09:06.046043Z",
          "shell.execute_reply.started": "2023-11-17T06:09:06.041432Z",
          "shell.execute_reply": "2023-11-17T06:09:06.045158Z"
        },
        "trusted": true,
        "id": "kyXT0W6YrKSX"
      },
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# len(pred)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:09:06.047245Z",
          "iopub.execute_input": "2023-11-17T06:09:06.047517Z",
          "iopub.status.idle": "2023-11-17T06:09:06.058663Z",
          "shell.execute_reply.started": "2023-11-17T06:09:06.047493Z",
          "shell.execute_reply": "2023-11-17T06:09:06.057748Z"
        },
        "trusted": true,
        "id": "RabqrWierKSX"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# pred = to_categorical(pred,5)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:09:06.059642Z",
          "iopub.execute_input": "2023-11-17T06:09:06.059904Z",
          "iopub.status.idle": "2023-11-17T06:09:06.070237Z",
          "shell.execute_reply.started": "2023-11-17T06:09:06.059881Z",
          "shell.execute_reply": "2023-11-17T06:09:06.069409Z"
        },
        "trusted": true,
        "id": "S7hKc8_wrKSX"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "m1lhZ-x9rKSX"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "R1kQgBqLrKSX"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "0mng12nlrKSY"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Prediction of Test data"
      ],
      "metadata": {
        "id": "cp5kS--5rKSY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "test_data = pd.read_csv(\"/kaggle/input/anyas-gojo-revival-space-shop/test.tsv\", sep='\\t')\n",
        "test_data.head()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:09:06.071355Z",
          "iopub.execute_input": "2023-11-17T06:09:06.07168Z",
          "iopub.status.idle": "2023-11-17T06:09:06.096566Z",
          "shell.execute_reply.started": "2023-11-17T06:09:06.071648Z",
          "shell.execute_reply": "2023-11-17T06:09:06.095751Z"
        },
        "trusted": true,
        "id": "FAF8UcCrrKSY",
        "outputId": "931aec90-66f0-4e30-86b6-3c49e87990e6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 310
        }
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        date      time       id    reviewer name  \\\n",
              "0  29-Jul-18  16:47:11  6074908  Russell Hensley   \n",
              "1  28-Jul-18  17:49:58  1159008      Adam Baxter   \n",
              "2  30-Jul-18  16:46:29  1759753  Sarah Contreras   \n",
              "3  29-Jul-18  19:23:32  1861422     Tim Castillo   \n",
              "4  28-Jul-18  16:15:25  3116018      Barry Young   \n",
              "\n",
              "                                    reviewer address contact number  \\\n",
              "0  9059 Morales Run Suite 912\\nSouth Charles, MH ...     6932290613   \n",
              "1  13728 Jones Mission Apt. 526\\nSouth Tylerfurt,...   385-994-9458   \n",
              "2           7113 Pratt Plains\\nPalmermouth, IN 02370  (738)354-8387   \n",
              "3   93586 Cook Union Apt. 080\\nMorganmouth, WI 51175  (294)877-6223   \n",
              "4  69809 Harrington Meadows Apt. 256\\nLake Courtn...   262-863-1391   \n",
              "\n",
              "                      variation  \\\n",
              "0          Heather Gray Fabric    \n",
              "1                   Black  Plus   \n",
              "2  Configuration: Fire TV Stick   \n",
              "3                   Black  Plus   \n",
              "4                   Black  Show   \n",
              "\n",
              "                                    verified_reviews  feedback  \n",
              "0  I have the original Alexa and the Tap and so f...         1  \n",
              "1  Great product. More skills are needed. I love it.         1  \n",
              "2  I will never buy anything Amazon makes again!T...         0  \n",
              "3  Not perfect but very good! A few times Alexa p...         1  \n",
              "4  Kids like it for games.  Showing the lyrics fo...         1  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-bf750127-4aae-4373-b5e6-2b5762b4673c\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>time</th>\n",
              "      <th>id</th>\n",
              "      <th>reviewer name</th>\n",
              "      <th>reviewer address</th>\n",
              "      <th>contact number</th>\n",
              "      <th>variation</th>\n",
              "      <th>verified_reviews</th>\n",
              "      <th>feedback</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>29-Jul-18</td>\n",
              "      <td>16:47:11</td>\n",
              "      <td>6074908</td>\n",
              "      <td>Russell Hensley</td>\n",
              "      <td>9059 Morales Run Suite 912\\nSouth Charles, MH ...</td>\n",
              "      <td>6932290613</td>\n",
              "      <td>Heather Gray Fabric</td>\n",
              "      <td>I have the original Alexa and the Tap and so f...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>28-Jul-18</td>\n",
              "      <td>17:49:58</td>\n",
              "      <td>1159008</td>\n",
              "      <td>Adam Baxter</td>\n",
              "      <td>13728 Jones Mission Apt. 526\\nSouth Tylerfurt,...</td>\n",
              "      <td>385-994-9458</td>\n",
              "      <td>Black  Plus</td>\n",
              "      <td>Great product. More skills are needed. I love it.</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>30-Jul-18</td>\n",
              "      <td>16:46:29</td>\n",
              "      <td>1759753</td>\n",
              "      <td>Sarah Contreras</td>\n",
              "      <td>7113 Pratt Plains\\nPalmermouth, IN 02370</td>\n",
              "      <td>(738)354-8387</td>\n",
              "      <td>Configuration: Fire TV Stick</td>\n",
              "      <td>I will never buy anything Amazon makes again!T...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>29-Jul-18</td>\n",
              "      <td>19:23:32</td>\n",
              "      <td>1861422</td>\n",
              "      <td>Tim Castillo</td>\n",
              "      <td>93586 Cook Union Apt. 080\\nMorganmouth, WI 51175</td>\n",
              "      <td>(294)877-6223</td>\n",
              "      <td>Black  Plus</td>\n",
              "      <td>Not perfect but very good! A few times Alexa p...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>28-Jul-18</td>\n",
              "      <td>16:15:25</td>\n",
              "      <td>3116018</td>\n",
              "      <td>Barry Young</td>\n",
              "      <td>69809 Harrington Meadows Apt. 256\\nLake Courtn...</td>\n",
              "      <td>262-863-1391</td>\n",
              "      <td>Black  Show</td>\n",
              "      <td>Kids like it for games.  Showing the lyrics fo...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-bf750127-4aae-4373-b5e6-2b5762b4673c')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-bf750127-4aae-4373-b5e6-2b5762b4673c 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-bf750127-4aae-4373-b5e6-2b5762b4673c');\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",
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              "            title=\"Suggest charts\"\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-d449fbaf-4cbe-4dec-ada8-de90c0eca632 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "test_data",
              "summary": "{\n  \"name\": \"test_data\",\n  \"rows\": 630,\n  \"fields\": [\n    {\n      \"column\": \"date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 64,\n        \"samples\": [\n          \"15-Jul-18\",\n          \"26-Jun-18\",\n          \"29-Jul-18\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"time\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 629,\n        \"samples\": [\n          \"23:04:13\",\n          \"03:00:29\",\n          \"00:39:27\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2597074,\n        \"min\": 8354,\n        \"max\": 8886137,\n        \"num_unique_values\": 630,\n        \"samples\": [\n          8538936,\n          3651366,\n          4385204\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"reviewer name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 628,\n        \"samples\": [\n          \"Tina Henderson\",\n          \"James Schmitt\",\n          \"Kevin Riley\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"reviewer address\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 630,\n        \"samples\": [\n          \"7067 Velasquez Ville\\nGregoryberg, ID 98333\",\n          \"712 Christensen Light\\nWilsonshire, MN 05529\",\n          \"09409 Robertson Valleys Apt. 842\\nSouth Richard, FM 40360\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"contact number\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 630,\n        \"samples\": [\n          \"823-840-9820\",\n          \"(679)584-4222\",\n          \"363-548-5152\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"variation\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 16,\n        \"samples\": [\n          \"Heather Gray Fabric \",\n          \"Black  Plus\",\n          \"White  Dot\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"verified_reviews\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 577,\n        \"samples\": [\n          \"Very intelligent, love the songs ....\",\n          \"This is my 2nd fire TV stick with Alexa I have been very happy with my first one love that you can use so many apps with it. Big \\ud83d\\udc4d\",\n          \"Awesome device to have in home.  Full of very useful information.  Don't have to us e my phone to answer spur of the moment questions.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"feedback\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "final_data = test_data.loc[:, ['verified_reviews']]\n",
        "final_data.shape"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:09:06.097822Z",
          "iopub.execute_input": "2023-11-17T06:09:06.098391Z",
          "iopub.status.idle": "2023-11-17T06:09:06.1072Z",
          "shell.execute_reply.started": "2023-11-17T06:09:06.098359Z",
          "shell.execute_reply": "2023-11-17T06:09:06.106264Z"
        },
        "trusted": true,
        "id": "iiPYpgUfrKSY",
        "outputId": "0189a657-d636-4f2f-9fa9-b12de587ac1d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(630, 1)"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "final_data = pd.Series(test_data['verified_reviews'])\n",
        "final_data = final_data.to_numpy()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:09:06.111281Z",
          "iopub.execute_input": "2023-11-17T06:09:06.11153Z",
          "iopub.status.idle": "2023-11-17T06:09:06.116104Z",
          "shell.execute_reply.started": "2023-11-17T06:09:06.111508Z",
          "shell.execute_reply": "2023-11-17T06:09:06.115144Z"
        },
        "trusted": true,
        "id": "MRJZMoV0rKSY"
      },
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X_test_final = tokenizer.texts_to_sequences(final_data)\n",
        "X_test_final = pad_sequences(X_test_final, max_length ,padding='post')\n",
        "predictions = model.predict(X_test_final)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:09:06.117064Z",
          "iopub.execute_input": "2023-11-17T06:09:06.117302Z",
          "iopub.status.idle": "2023-11-17T06:09:07.459733Z",
          "shell.execute_reply.started": "2023-11-17T06:09:06.117281Z",
          "shell.execute_reply": "2023-11-17T06:09:07.459021Z"
        },
        "trusted": true,
        "id": "To_Q5J6irKSY",
        "outputId": "8075267a-0724-4ae7-fc70-b84d82087154",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "20/20 [==============================] - 1s 29ms/step\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(predictions)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:09:07.460882Z",
          "iopub.execute_input": "2023-11-17T06:09:07.461199Z",
          "iopub.status.idle": "2023-11-17T06:09:07.467065Z",
          "shell.execute_reply.started": "2023-11-17T06:09:07.461173Z",
          "shell.execute_reply": "2023-11-17T06:09:07.466137Z"
        },
        "trusted": true,
        "id": "44l2rrxWrKSY",
        "outputId": "a535a81a-265c-4112-8169-87a05e708575",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "630"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "final_class = []\n",
        "for preds in predictions:\n",
        "    final_class.append(np.argmax(preds)+1)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:09:07.468106Z",
          "iopub.execute_input": "2023-11-17T06:09:07.468367Z",
          "iopub.status.idle": "2023-11-17T06:09:07.481697Z",
          "shell.execute_reply.started": "2023-11-17T06:09:07.468344Z",
          "shell.execute_reply": "2023-11-17T06:09:07.480775Z"
        },
        "trusted": true,
        "id": "sTGIRB6JrKSY"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "len(final_class)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:09:07.482912Z",
          "iopub.execute_input": "2023-11-17T06:09:07.483479Z",
          "iopub.status.idle": "2023-11-17T06:09:07.490459Z",
          "shell.execute_reply.started": "2023-11-17T06:09:07.483453Z",
          "shell.execute_reply": "2023-11-17T06:09:07.489627Z"
        },
        "trusted": true,
        "id": "laOLY8h0rKSY",
        "outputId": "9f1127c2-464a-4c9c-8d60-fd416dead086",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "630"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# final_class"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:12:17.664058Z",
          "iopub.execute_input": "2023-11-17T06:12:17.6644Z",
          "iopub.status.idle": "2023-11-17T06:12:17.668428Z",
          "shell.execute_reply.started": "2023-11-17T06:12:17.664375Z",
          "shell.execute_reply": "2023-11-17T06:12:17.667417Z"
        },
        "trusted": true,
        "id": "pdGnV2EwrKSZ"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data = {'id': test_data['id'], 'sentiment': final_class}\n",
        "sub_df = pd.DataFrame(data)\n",
        "sub_df.set_index('id', inplace=True)\n",
        "sub_df"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:09:07.491499Z",
          "iopub.execute_input": "2023-11-17T06:09:07.491796Z",
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          "shell.execute_reply": "2023-11-17T06:09:07.509124Z"
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        "id": "0zuegRLfrKSZ",
        "outputId": "a0d0acdc-7032-4f97-f0ac-eaca093f6f02",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        }
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         sentiment\n",
              "id                \n",
              "6074908          5\n",
              "1159008          5\n",
              "1759753          4\n",
              "1861422          5\n",
              "3116018          5\n",
              "...            ...\n",
              "6856853          5\n",
              "774782           5\n",
              "1194506          5\n",
              "4145653          5\n",
              "7267404          5\n",
              "\n",
              "[630 rows x 1 columns]"
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              "  }\n",
              "\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
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              "\n",
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              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "  }\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_db1b33f5-6247-493c-ad2b-06b6c1789865\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
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              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate: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",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('sub_df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_db1b33f5-6247-493c-ad2b-06b6c1789865 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('sub_df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "sub_df",
              "summary": "{\n  \"name\": \"sub_df\",\n  \"rows\": 630,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2597074,\n        \"min\": 8354,\n        \"max\": 8886137,\n        \"num_unique_values\": 630,\n        \"samples\": [\n          8538936,\n          3651366,\n          4385204\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"sentiment\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 5,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          4,\n          2,\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sub_df.to_csv('submission.csv')"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-11-17T06:09:07.511315Z",
          "iopub.execute_input": "2023-11-17T06:09:07.511909Z",
          "iopub.status.idle": "2023-11-17T06:09:07.521681Z",
          "shell.execute_reply.started": "2023-11-17T06:09:07.511866Z",
          "shell.execute_reply": "2023-11-17T06:09:07.520789Z"
        },
        "trusted": true,
        "id": "M4koTFWWrKSZ"
      },
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "YHeGxYy6rKSZ"
      },
      "execution_count": 31,
      "outputs": []
    }
  ]
}